From 9dd8663e9e5fd440d0445ede1bb902597c9f5330 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Mon, 8 May 2023 09:12:41 -0400 Subject: [PATCH] update dependencies --- demo/faceid/index.js | 381 +- demo/faceid/index.js.map | 4 +- demo/tracker/index.js | 1363 +- demo/tracker/index.js.map | 4 +- demo/typescript/index.js | 106 +- demo/typescript/index.js.map | 4 +- dist/human.esm-nobundle.js | 14820 +++++++++++++++++++- dist/human.esm.js | 23982 ++++++++++++++++++--------------- dist/human.esm.js.map | 6 +- dist/human.js | 2721 ++-- dist/human.node-gpu.js | 14928 +++++++++++++++++++- dist/human.node-wasm.js | 14930 +++++++++++++++++++- dist/human.node.js | 14928 +++++++++++++++++++- dist/tfjs.esm.js | 2719 ++-- dist/tfjs.version.js | 35 +- 15 files changed, 78185 insertions(+), 12746 deletions(-) diff --git a/demo/faceid/index.js b/demo/faceid/index.js index 37f2e0ac..ee6598e8 100644 --- a/demo/faceid/index.js +++ b/demo/faceid/index.js @@ -4,6 +4,383 @@ author: ' */ -import*as S from"../../dist/human.esm.js";var l,L="human",f="person",v=(...a)=>console.log("indexdb",...a);async function h(){return l?!0:new Promise(a=>{let n=indexedDB.open(L,1);n.onerror=o=>v("error:",o),n.onupgradeneeded=o=>{v("create:",o.target),l=o.target.result,l.createObjectStore(f,{keyPath:"id",autoIncrement:!0})},n.onsuccess=o=>{l=o.target.result,v("open:",l),a(!0)}})}async function C(){let a=[];return l||await h(),new Promise(n=>{let o=l.transaction([f],"readwrite").objectStore(f).openCursor(null,"next");o.onerror=i=>v("load error:",i),o.onsuccess=i=>{i.target.result?(a.push(i.target.result.value),i.target.result.continue()):n(a)}})}async function b(){return l||await h(),new Promise(a=>{let n=l.transaction([f],"readwrite").objectStore(f).count();n.onerror=o=>v("count error:",o),n.onsuccess=()=>a(n.result)})}async function x(a){l||await h();let n={name:a.name,descriptor:a.descriptor,image:a.image};l.transaction([f],"readwrite").objectStore(f).put(n),v("save:",n)}async function D(a){l||await h(),l.transaction([f],"readwrite").objectStore(f).delete(a.id),v("delete:",a)}var g={cacheSensitivity:0,modelBasePath:"../../models",filter:{enabled:!0,equalization:!0},debug:!0,face:{enabled:!0,detector:{rotation:!0,return:!0,mask:!1},description:{enabled:!0},iris:{enabled:!0},emotion:{enabled:!1},antispoof:{enabled:!0},liveness:{enabled:!0}},body:{enabled:!1},hand:{enabled:!1},object:{enabled:!1},gesture:{enabled:!0}},B={order:2,multiplier:25,min:.2,max:.8},r={minConfidence:.6,minSize:224,maxTime:3e4,blinkMin:10,blinkMax:800,threshold:.5,distanceMin:.4,distanceMax:1,mask:g.face.detector.mask,rotation:g.face.detector.rotation,...B},e={faceCount:{status:!1,val:0},faceConfidence:{status:!1,val:0},facingCenter:{status:!1,val:0},lookingCenter:{status:!1,val:0},blinkDetected:{status:!1,val:0},faceSize:{status:!1,val:0},antispoofCheck:{status:!1,val:0},livenessCheck:{status:!1,val:0},distance:{status:!1,val:0},age:{status:!1,val:0},gender:{status:!1,val:0},timeout:{status:!0,val:0},descriptor:{status:!1,val:0},elapsedMs:{status:void 0,val:0},detectFPS:{status:void 0,val:0},drawFPS:{status:void 0,val:0}},E=()=>e.faceCount.status&&e.faceSize.status&&e.blinkDetected.status&&e.facingCenter.status&&e.lookingCenter.status&&e.faceConfidence.status&&e.antispoofCheck.status&&e.livenessCheck.status&&e.distance.status&&e.descriptor.status&&e.age.status&&e.gender.status,c={face:null,record:null},u={start:0,end:0,time:0},s=new S.Human(g);s.env.perfadd=!1;s.draw.options.font='small-caps 18px "Lato"';s.draw.options.lineHeight=20;var t={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("fps"),match:document.getElementById("match"),name:document.getElementById("name"),save:document.getElementById("save"),delete:document.getElementById("delete"),retry:document.getElementById("retry"),source:document.getElementById("source"),ok:document.getElementById("ok")},y={detect:0,draw:0},I=0,d=(...a)=>{t.log.innerText+=a.join(" ")+` -`,console.log(...a)};async function H(){let a={audio:!1,video:{facingMode:"user",resizeMode:"none",width:{ideal:document.body.clientWidth}}},n=await navigator.mediaDevices.getUserMedia(a),o=new Promise(i=>{t.video.onloadeddata=()=>i(!0)});t.video.srcObject=n,t.video.play(),await o,t.canvas.width=t.video.videoWidth,t.canvas.height=t.video.videoHeight,t.canvas.style.width="50%",t.canvas.style.height="50%",s.env.initial&&d("video:",t.video.videoWidth,t.video.videoHeight,"|",n.getVideoTracks()[0].label),t.canvas.onclick=()=>{t.video.paused?t.video.play():t.video.pause()}}async function T(){var a;if(!t.video.paused){(a=c.face)!=null&&a.tensor&&s.tf.dispose(c.face.tensor),await s.detect(t.video);let n=s.now();e.detectFPS.val=Math.round(1e4/(n-y.detect))/10,y.detect=n,requestAnimationFrame(T)}}function z(){let a=32;for(let[n,o]of Object.entries(e)){let i=document.getElementById(`ok-${n}`);i||(i=document.createElement("div"),i.id=`ok-${n}`,i.innerText=n,i.className="ok",i.style.top=`${a}px`,t.ok.appendChild(i)),typeof o.status=="boolean"&&(i.style.backgroundColor=o.status?"lightgreen":"lightcoral");let m=o.status?"ok":"fail";i.innerText=`${n}: ${o.val===0?m:o.val}`,a+=28}}async function R(){var o;let a=s.next(s.result);s.draw.canvas(t.video,t.canvas),await s.draw.all(t.canvas,a);let n=s.now();if(e.drawFPS.val=Math.round(1e4/(n-y.draw))/10,y.draw=n,e.faceCount.val=s.result.face.length,e.faceCount.status=e.faceCount.val===1,e.faceCount.status){let i=Object.values(s.result.gesture).map(m=>m.gesture);(i.includes("blink left eye")||i.includes("blink right eye"))&&(u.start=s.now()),u.start>0&&!i.includes("blink left eye")&&!i.includes("blink right eye")&&(u.end=s.now()),e.blinkDetected.status=e.blinkDetected.status||Math.abs(u.end-u.start)>r.blinkMin&&Math.abs(u.end-u.start)=r.minConfidence,e.antispoofCheck.val=s.result.face[0].real||0,e.antispoofCheck.status=e.antispoofCheck.val>=r.minConfidence,e.livenessCheck.val=s.result.face[0].live||0,e.livenessCheck.status=e.livenessCheck.val>=r.minConfidence,e.faceSize.val=Math.min(s.result.face[0].box[2],s.result.face[0].box[3]),e.faceSize.status=e.faceSize.val>=r.minSize,e.distance.val=s.result.face[0].distance||0,e.distance.status=e.distance.val>=r.distanceMin&&e.distance.val<=r.distanceMax,e.descriptor.val=((o=s.result.face[0].embedding)==null?void 0:o.length)||0,e.descriptor.status=e.descriptor.val>0,e.age.val=s.result.face[0].age||0,e.age.status=e.age.val>0,e.gender.val=s.result.face[0].genderScore||0,e.gender.status=e.gender.val>=r.minConfidence}return e.timeout.status=e.elapsedMs.val<=r.maxTime,z(),E()||!e.timeout.status?(t.video.pause(),s.result.face[0]):(e.elapsedMs.val=Math.trunc(s.now()-I),new Promise(i=>{setTimeout(async()=>{await R(),i(s.result.face[0])},30)}))}async function F(){var a,n,o,i;if(t.name.value.length>0){let m=(a=t.canvas.getContext("2d"))==null?void 0:a.getImageData(0,0,t.canvas.width,t.canvas.height),p={id:0,name:t.name.value,descriptor:(n=c.face)==null?void 0:n.embedding,image:m};await x(p),d("saved face record:",p.name,"descriptor length:",(i=(o=c.face)==null?void 0:o.embedding)==null?void 0:i.length),d("known face records:",await b())}else d("invalid name")}async function j(){c.record&&c.record.id>0&&await D(c.record)}async function $(){var i,m,p,k;if(t.canvas.style.height="",(i=t.canvas.getContext("2d"))==null||i.clearRect(0,0,r.minSize,r.minSize),!((m=c==null?void 0:c.face)!=null&&m.tensor)||!((p=c==null?void 0:c.face)!=null&&p.embedding))return!1;if(console.log("face record:",c.face),d(`detected face: ${c.face.gender} ${c.face.age||0}y distance ${100*(c.face.distance||0)}cm/${Math.round(100*(c.face.distance||0)/2.54)}in`),await s.tf.browser.toPixels(c.face.tensor,t.canvas),await b()===0)return d("face database is empty: nothing to compare face with"),document.body.style.background="black",t.delete.style.display="none",!1;let a=await C(),n=a.map(w=>w.descriptor).filter(w=>w.length>0),o=s.match.find(c.face.embedding,n,B);return c.record=a[o.index]||null,c.record&&(d(`best match: ${c.record.name} | id: ${c.record.id} | similarity: ${Math.round(1e3*o.similarity)/10}%`),t.name.value=c.record.name,t.source.style.display="",(k=t.source.getContext("2d"))==null||k.putImageData(c.record.image,0,0)),document.body.style.background=o.similarity>r.threshold?"darkgreen":"maroon",o.similarity>r.threshold}async function M(){var a,n,o,i;return e.faceCount.status=!1,e.faceConfidence.status=!1,e.facingCenter.status=!1,e.blinkDetected.status=!1,e.faceSize.status=!1,e.antispoofCheck.status=!1,e.livenessCheck.status=!1,e.age.status=!1,e.gender.status=!1,e.elapsedMs.val=0,t.match.style.display="none",t.retry.style.display="none",t.source.style.display="none",t.canvas.style.height="50%",document.body.style.background="black",await H(),await T(),I=s.now(),c.face=await R(),t.canvas.width=((n=(a=c.face)==null?void 0:a.tensor)==null?void 0:n.shape[1])||r.minSize,t.canvas.height=((i=(o=c.face)==null?void 0:o.tensor)==null?void 0:i.shape[0])||r.minSize,t.source.width=t.canvas.width,t.source.height=t.canvas.height,t.canvas.style.width="",t.match.style.display="flex",t.save.style.display="flex",t.delete.style.display="flex",t.retry.style.display="block",E()?$():(d("did not find valid face"),!1)}async function q(){var a,n;d("human version:",s.version,"| tfjs version:",s.tf.version["tfjs-core"]),d("options:",JSON.stringify(r).replace(/{|}|"|\[|\]/g,"").replace(/,/g," ")),d("initializing webcam..."),await H(),d("loading human models..."),await s.load(),d("initializing human..."),d("face embedding model:",g.face.description.enabled?"faceres":"",(a=g.face.mobilefacenet)!=null&&a.enabled?"mobilefacenet":"",(n=g.face.insightface)!=null&&n.enabled?"insightface":""),d("loading face database..."),d("known face records:",await b()),t.retry.addEventListener("click",M),t.save.addEventListener("click",F),t.delete.addEventListener("click",j),await s.warmup(),await M()}window.onload=q; + +// demo/faceid/index.ts +import * as H from "../../dist/human.esm.js"; + +// demo/faceid/indexdb.ts +var db; +var database = "human"; +var table = "person"; +var log = (...msg) => console.log("indexdb", ...msg); +async function open() { + if (db) + return true; + return new Promise((resolve) => { + const request = indexedDB.open(database, 1); + request.onerror = (evt) => log("error:", evt); + request.onupgradeneeded = (evt) => { + log("create:", evt.target); + db = evt.target.result; + db.createObjectStore(table, { keyPath: "id", autoIncrement: true }); + }; + request.onsuccess = (evt) => { + db = evt.target.result; + log("open:", db); + resolve(true); + }; + }); +} +async function load() { + const faceDB = []; + if (!db) + await open(); + return new Promise((resolve) => { + const cursor = db.transaction([table], "readwrite").objectStore(table).openCursor(null, "next"); + cursor.onerror = (evt) => log("load error:", evt); + cursor.onsuccess = (evt) => { + if (evt.target.result) { + faceDB.push(evt.target.result.value); + evt.target.result.continue(); + } else { + resolve(faceDB); + } + }; + }); +} +async function count() { + if (!db) + await open(); + return new Promise((resolve) => { + const store = db.transaction([table], "readwrite").objectStore(table).count(); + store.onerror = (evt) => log("count error:", evt); + store.onsuccess = () => resolve(store.result); + }); +} +async function save(faceRecord) { + if (!db) + await open(); + const newRecord = { name: faceRecord.name, descriptor: faceRecord.descriptor, image: faceRecord.image }; + db.transaction([table], "readwrite").objectStore(table).put(newRecord); + log("save:", newRecord); +} +async function remove(faceRecord) { + if (!db) + await open(); + db.transaction([table], "readwrite").objectStore(table).delete(faceRecord.id); + log("delete:", faceRecord); +} + +// demo/faceid/index.ts +var humanConfig = { + // user configuration for human, used to fine-tune behavior + cacheSensitivity: 0, + modelBasePath: "../../models", + filter: { enabled: true, equalization: true }, + // lets run with histogram equilizer + debug: true, + face: { + enabled: true, + detector: { rotation: true, return: true, mask: false }, + // return tensor is used to get detected face image + description: { enabled: true }, + // default model for face descriptor extraction is faceres + // mobilefacenet: { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/mobilefacenet.json' }, // alternative model + // insightface: { enabled: true, modelPath: 'https://vladmandic.github.io/insightface/models/insightface-mobilenet-swish.json' }, // alternative model + iris: { enabled: true }, + // needed to determine gaze direction + emotion: { enabled: false }, + // not needed + antispoof: { enabled: true }, + // enable optional antispoof module + liveness: { enabled: true } + // enable optional liveness module + }, + body: { enabled: false }, + hand: { enabled: false }, + object: { enabled: false }, + gesture: { enabled: true } + // parses face and iris gestures +}; +var matchOptions = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }; +var options = { + minConfidence: 0.6, + // overal face confidence for box, face, gender, real, live + minSize: 224, + // min input to face descriptor model before degradation + maxTime: 3e4, + // max time before giving up + blinkMin: 10, + // minimum duration of a valid blink + blinkMax: 800, + // maximum duration of a valid blink + threshold: 0.5, + // minimum similarity + distanceMin: 0.4, + // closest that face is allowed to be to the cammera in cm + distanceMax: 1, + // farthest that face is allowed to be to the cammera in cm + mask: humanConfig.face.detector.mask, + rotation: humanConfig.face.detector.rotation, + ...matchOptions +}; +var ok = { + // must meet all rules + faceCount: { status: false, val: 0 }, + faceConfidence: { status: false, val: 0 }, + facingCenter: { status: false, val: 0 }, + lookingCenter: { status: false, val: 0 }, + blinkDetected: { status: false, val: 0 }, + faceSize: { status: false, val: 0 }, + antispoofCheck: { status: false, val: 0 }, + livenessCheck: { status: false, val: 0 }, + distance: { status: false, val: 0 }, + age: { status: false, val: 0 }, + gender: { status: false, val: 0 }, + timeout: { status: true, val: 0 }, + descriptor: { status: false, val: 0 }, + elapsedMs: { status: void 0, val: 0 }, + // total time while waiting for valid face + detectFPS: { status: void 0, val: 0 }, + // mark detection fps performance + drawFPS: { status: void 0, val: 0 } + // mark redraw fps performance +}; +var allOk = () => ok.faceCount.status && ok.faceSize.status && ok.blinkDetected.status && ok.facingCenter.status && ok.lookingCenter.status && ok.faceConfidence.status && ok.antispoofCheck.status && ok.livenessCheck.status && ok.distance.status && ok.descriptor.status && ok.age.status && ok.gender.status; +var current = { face: null, record: null }; +var blink = { + // internal timers for blink start/end/duration + start: 0, + end: 0, + time: 0 +}; +var human = new H.Human(humanConfig); +human.env.perfadd = false; +human.draw.options.font = 'small-caps 18px "Lato"'; +human.draw.options.lineHeight = 20; +var dom = { + // grab instances of dom objects so we dont have to look them up later + video: document.getElementById("video"), + canvas: document.getElementById("canvas"), + log: document.getElementById("log"), + fps: document.getElementById("fps"), + match: document.getElementById("match"), + name: document.getElementById("name"), + save: document.getElementById("save"), + delete: document.getElementById("delete"), + retry: document.getElementById("retry"), + source: document.getElementById("source"), + ok: document.getElementById("ok") +}; +var timestamp = { detect: 0, draw: 0 }; +var startTime = 0; +var log2 = (...msg) => { + dom.log.innerText += msg.join(" ") + "\n"; + console.log(...msg); +}; +async function webCam() { + const cameraOptions = { audio: false, video: { facingMode: "user", resizeMode: "none", width: { ideal: document.body.clientWidth } } }; + const stream = await navigator.mediaDevices.getUserMedia(cameraOptions); + const ready = new Promise((resolve) => { + dom.video.onloadeddata = () => resolve(true); + }); + dom.video.srcObject = stream; + void dom.video.play(); + await ready; + dom.canvas.width = dom.video.videoWidth; + dom.canvas.height = dom.video.videoHeight; + dom.canvas.style.width = "50%"; + dom.canvas.style.height = "50%"; + if (human.env.initial) + log2("video:", dom.video.videoWidth, dom.video.videoHeight, "|", stream.getVideoTracks()[0].label); + dom.canvas.onclick = () => { + if (dom.video.paused) + void dom.video.play(); + else + dom.video.pause(); + }; +} +async function detectionLoop() { + var _a; + if (!dom.video.paused) { + if ((_a = current.face) == null ? void 0 : _a.tensor) + human.tf.dispose(current.face.tensor); + await human.detect(dom.video); + const now = human.now(); + ok.detectFPS.val = Math.round(1e4 / (now - timestamp.detect)) / 10; + timestamp.detect = now; + requestAnimationFrame(detectionLoop); + } +} +function drawValidationTests() { + let y = 32; + for (const [key, val] of Object.entries(ok)) { + let el = document.getElementById(`ok-${key}`); + if (!el) { + el = document.createElement("div"); + el.id = `ok-${key}`; + el.innerText = key; + el.className = "ok"; + el.style.top = `${y}px`; + dom.ok.appendChild(el); + } + if (typeof val.status === "boolean") + el.style.backgroundColor = val.status ? "lightgreen" : "lightcoral"; + const status = val.status ? "ok" : "fail"; + el.innerText = `${key}: ${val.val === 0 ? status : val.val}`; + y += 28; + } +} +async function validationLoop() { + var _a; + const interpolated = human.next(human.result); + human.draw.canvas(dom.video, dom.canvas); + await human.draw.all(dom.canvas, interpolated); + const now = human.now(); + ok.drawFPS.val = Math.round(1e4 / (now - timestamp.draw)) / 10; + timestamp.draw = now; + ok.faceCount.val = human.result.face.length; + ok.faceCount.status = ok.faceCount.val === 1; + if (ok.faceCount.status) { + const gestures = Object.values(human.result.gesture).map((gesture) => gesture.gesture); + if (gestures.includes("blink left eye") || gestures.includes("blink right eye")) + blink.start = human.now(); + if (blink.start > 0 && !gestures.includes("blink left eye") && !gestures.includes("blink right eye")) + blink.end = human.now(); + ok.blinkDetected.status = ok.blinkDetected.status || Math.abs(blink.end - blink.start) > options.blinkMin && Math.abs(blink.end - blink.start) < options.blinkMax; + if (ok.blinkDetected.status && blink.time === 0) + blink.time = Math.trunc(blink.end - blink.start); + ok.facingCenter.status = gestures.includes("facing center"); + ok.lookingCenter.status = gestures.includes("looking center"); + ok.faceConfidence.val = human.result.face[0].faceScore || human.result.face[0].boxScore || 0; + ok.faceConfidence.status = ok.faceConfidence.val >= options.minConfidence; + ok.antispoofCheck.val = human.result.face[0].real || 0; + ok.antispoofCheck.status = ok.antispoofCheck.val >= options.minConfidence; + ok.livenessCheck.val = human.result.face[0].live || 0; + ok.livenessCheck.status = ok.livenessCheck.val >= options.minConfidence; + ok.faceSize.val = Math.min(human.result.face[0].box[2], human.result.face[0].box[3]); + ok.faceSize.status = ok.faceSize.val >= options.minSize; + ok.distance.val = human.result.face[0].distance || 0; + ok.distance.status = ok.distance.val >= options.distanceMin && ok.distance.val <= options.distanceMax; + ok.descriptor.val = ((_a = human.result.face[0].embedding) == null ? void 0 : _a.length) || 0; + ok.descriptor.status = ok.descriptor.val > 0; + ok.age.val = human.result.face[0].age || 0; + ok.age.status = ok.age.val > 0; + ok.gender.val = human.result.face[0].genderScore || 0; + ok.gender.status = ok.gender.val >= options.minConfidence; + } + ok.timeout.status = ok.elapsedMs.val <= options.maxTime; + drawValidationTests(); + if (allOk() || !ok.timeout.status) { + dom.video.pause(); + return human.result.face[0]; + } + ok.elapsedMs.val = Math.trunc(human.now() - startTime); + return new Promise((resolve) => { + setTimeout(async () => { + await validationLoop(); + resolve(human.result.face[0]); + }, 30); + }); +} +async function saveRecords() { + var _a, _b, _c, _d; + if (dom.name.value.length > 0) { + const image = (_a = dom.canvas.getContext("2d")) == null ? void 0 : _a.getImageData(0, 0, dom.canvas.width, dom.canvas.height); + const rec = { id: 0, name: dom.name.value, descriptor: (_b = current.face) == null ? void 0 : _b.embedding, image }; + await save(rec); + log2("saved face record:", rec.name, "descriptor length:", (_d = (_c = current.face) == null ? void 0 : _c.embedding) == null ? void 0 : _d.length); + log2("known face records:", await count()); + } else { + log2("invalid name"); + } +} +async function deleteRecord() { + if (current.record && current.record.id > 0) { + await remove(current.record); + } +} +async function detectFace() { + var _a, _b, _c, _d; + dom.canvas.style.height = ""; + (_a = dom.canvas.getContext("2d")) == null ? void 0 : _a.clearRect(0, 0, options.minSize, options.minSize); + if (!((_b = current == null ? void 0 : current.face) == null ? void 0 : _b.tensor) || !((_c = current == null ? void 0 : current.face) == null ? void 0 : _c.embedding)) + return false; + console.log("face record:", current.face); + log2(`detected face: ${current.face.gender} ${current.face.age || 0}y distance ${100 * (current.face.distance || 0)}cm/${Math.round(100 * (current.face.distance || 0) / 2.54)}in`); + await human.tf.browser.toPixels(current.face.tensor, dom.canvas); + if (await count() === 0) { + log2("face database is empty: nothing to compare face with"); + document.body.style.background = "black"; + dom.delete.style.display = "none"; + return false; + } + const db2 = await load(); + const descriptors = db2.map((rec) => rec.descriptor).filter((desc) => desc.length > 0); + const res = human.match.find(current.face.embedding, descriptors, matchOptions); + current.record = db2[res.index] || null; + if (current.record) { + log2(`best match: ${current.record.name} | id: ${current.record.id} | similarity: ${Math.round(1e3 * res.similarity) / 10}%`); + dom.name.value = current.record.name; + dom.source.style.display = ""; + (_d = dom.source.getContext("2d")) == null ? void 0 : _d.putImageData(current.record.image, 0, 0); + } + document.body.style.background = res.similarity > options.threshold ? "darkgreen" : "maroon"; + return res.similarity > options.threshold; +} +async function main() { + var _a, _b, _c, _d; + ok.faceCount.status = false; + ok.faceConfidence.status = false; + ok.facingCenter.status = false; + ok.blinkDetected.status = false; + ok.faceSize.status = false; + ok.antispoofCheck.status = false; + ok.livenessCheck.status = false; + ok.age.status = false; + ok.gender.status = false; + ok.elapsedMs.val = 0; + dom.match.style.display = "none"; + dom.retry.style.display = "none"; + dom.source.style.display = "none"; + dom.canvas.style.height = "50%"; + document.body.style.background = "black"; + await webCam(); + await detectionLoop(); + startTime = human.now(); + current.face = await validationLoop(); + dom.canvas.width = ((_b = (_a = current.face) == null ? void 0 : _a.tensor) == null ? void 0 : _b.shape[1]) || options.minSize; + dom.canvas.height = ((_d = (_c = current.face) == null ? void 0 : _c.tensor) == null ? void 0 : _d.shape[0]) || options.minSize; + dom.source.width = dom.canvas.width; + dom.source.height = dom.canvas.height; + dom.canvas.style.width = ""; + dom.match.style.display = "flex"; + dom.save.style.display = "flex"; + dom.delete.style.display = "flex"; + dom.retry.style.display = "block"; + if (!allOk()) { + log2("did not find valid face"); + return false; + } + return detectFace(); +} +async function init() { + var _a, _b; + log2("human version:", human.version, "| tfjs version:", human.tf.version["tfjs-core"]); + log2("options:", JSON.stringify(options).replace(/{|}|"|\[|\]/g, "").replace(/,/g, " ")); + log2("initializing webcam..."); + await webCam(); + log2("loading human models..."); + await human.load(); + log2("initializing human..."); + log2("face embedding model:", humanConfig.face.description.enabled ? "faceres" : "", ((_a = humanConfig.face["mobilefacenet"]) == null ? void 0 : _a.enabled) ? "mobilefacenet" : "", ((_b = humanConfig.face["insightface"]) == null ? void 0 : _b.enabled) ? "insightface" : ""); + log2("loading face database..."); + log2("known face records:", await count()); + dom.retry.addEventListener("click", main); + dom.save.addEventListener("click", saveRecords); + dom.delete.addEventListener("click", deleteRecord); + await human.warmup(); + await main(); +} +window.onload = init; //# sourceMappingURL=index.js.map diff --git a/demo/faceid/index.js.map b/demo/faceid/index.js.map index 28a18c93..dfc35642 100644 --- a/demo/faceid/index.js.map +++ b/demo/faceid/index.js.map @@ -2,6 +2,6 @@ "version": 3, "sources": ["index.ts", "indexdb.ts"], "sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\nimport * as H from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human\nimport * as indexDb from './indexdb'; // methods to deal with indexdb\n\nconst humanConfig = { // user configuration for human, used to fine-tune behavior\n cacheSensitivity: 0,\n modelBasePath: '../../models',\n filter: { enabled: true, equalization: true }, // lets run with histogram equilizer\n debug: true,\n face: {\n enabled: true,\n detector: { rotation: true, return: true, mask: false }, // return tensor is used to get detected face image\n description: { enabled: true }, // default model for face descriptor extraction is faceres\n // mobilefacenet: { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/mobilefacenet.json' }, // alternative model\n // insightface: { enabled: true, modelPath: 'https://vladmandic.github.io/insightface/models/insightface-mobilenet-swish.json' }, // alternative model\n iris: { enabled: true }, // needed to determine gaze direction\n emotion: { enabled: false }, // not needed\n antispoof: { enabled: true }, // enable optional antispoof module\n liveness: { enabled: true }, // enable optional liveness module\n },\n body: { enabled: false },\n hand: { enabled: false },\n object: { enabled: false },\n gesture: { enabled: true }, // parses face and iris gestures\n};\n\n// const matchOptions = { order: 2, multiplier: 1000, min: 0.0, max: 1.0 }; // for embedding model\nconst matchOptions = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }; // for faceres model\n\nconst options = {\n minConfidence: 0.6, // overal face confidence for box, face, gender, real, live\n minSize: 224, // min input to face descriptor model before degradation\n maxTime: 30000, // max time before giving up\n blinkMin: 10, // minimum duration of a valid blink\n blinkMax: 800, // maximum duration of a valid blink\n threshold: 0.5, // minimum similarity\n distanceMin: 0.4, // closest that face is allowed to be to the cammera in cm\n distanceMax: 1.0, // farthest that face is allowed to be to the cammera in cm\n mask: humanConfig.face.detector.mask,\n rotation: humanConfig.face.detector.rotation,\n ...matchOptions,\n};\n\nconst ok: Record = { // must meet all rules\n faceCount: { status: false, val: 0 },\n faceConfidence: { status: false, val: 0 },\n facingCenter: { status: false, val: 0 },\n lookingCenter: { status: false, val: 0 },\n blinkDetected: { status: false, val: 0 },\n faceSize: { status: false, val: 0 },\n antispoofCheck: { status: false, val: 0 },\n livenessCheck: { status: false, val: 0 },\n distance: { status: false, val: 0 },\n age: { status: false, val: 0 },\n gender: { status: false, val: 0 },\n timeout: { status: true, val: 0 },\n descriptor: { status: false, val: 0 },\n elapsedMs: { status: undefined, val: 0 }, // total time while waiting for valid face\n detectFPS: { status: undefined, val: 0 }, // mark detection fps performance\n drawFPS: { status: undefined, val: 0 }, // mark redraw fps performance\n};\n\nconst allOk = () => ok.faceCount.status\n && ok.faceSize.status\n && ok.blinkDetected.status\n && ok.facingCenter.status\n && ok.lookingCenter.status\n && ok.faceConfidence.status\n && ok.antispoofCheck.status\n && ok.livenessCheck.status\n && ok.distance.status\n && ok.descriptor.status\n && ok.age.status\n && ok.gender.status;\n\nconst current: { face: H.FaceResult | null, record: indexDb.FaceRecord | null } = { face: null, record: null }; // current face record and matched database record\n\nconst blink = { // internal timers for blink start/end/duration\n start: 0,\n end: 0,\n time: 0,\n};\n\n// let db: Array<{ name: string, source: string, embedding: number[] }> = []; // holds loaded face descriptor database\nconst human = new H.Human(humanConfig); // create instance of human with overrides from user configuration\n\nhuman.env.perfadd = false; // is performance data showing instant or total values\nhuman.draw.options.font = 'small-caps 18px \"Lato\"'; // set font used to draw labels when using draw methods\nhuman.draw.options.lineHeight = 20;\n\nconst dom = { // grab instances of dom objects so we dont have to look them up later\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('fps') as HTMLPreElement,\n match: document.getElementById('match') as HTMLDivElement,\n name: document.getElementById('name') as HTMLInputElement,\n save: document.getElementById('save') as HTMLSpanElement,\n delete: document.getElementById('delete') as HTMLSpanElement,\n retry: document.getElementById('retry') as HTMLDivElement,\n source: document.getElementById('source') as HTMLCanvasElement,\n ok: document.getElementById('ok') as HTMLDivElement,\n};\nconst timestamp = { detect: 0, draw: 0 }; // holds information used to calculate performance and possible memory leaks\nlet startTime = 0;\n\nconst log = (...msg) => { // helper method to output messages\n dom.log.innerText += msg.join(' ') + '\\n';\n console.log(...msg); // eslint-disable-line no-console\n};\n\nasync function webCam() { // initialize webcam\n // @ts-ignore resizeMode is not yet defined in tslib\n const cameraOptions: MediaStreamConstraints = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth } } };\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(cameraOptions);\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\n dom.video.srcObject = stream;\n void dom.video.play();\n await ready;\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n dom.canvas.style.width = '50%';\n dom.canvas.style.height = '50%';\n if (human.env.initial) log('video:', dom.video.videoWidth, dom.video.videoHeight, '|', stream.getVideoTracks()[0].label);\n dom.canvas.onclick = () => { // pause when clicked on screen and resume on next click\n if (dom.video.paused) void dom.video.play();\n else dom.video.pause();\n };\n}\n\nasync function detectionLoop() { // main detection loop\n if (!dom.video.paused) {\n if (current.face?.tensor) human.tf.dispose(current.face.tensor); // dispose previous tensor\n await human.detect(dom.video); // actual detection; were not capturing output in a local variable as it can also be reached via human.result\n const now = human.now();\n ok.detectFPS.val = Math.round(10000 / (now - timestamp.detect)) / 10;\n timestamp.detect = now;\n requestAnimationFrame(detectionLoop); // start new frame immediately\n }\n}\n\nfunction drawValidationTests() {\n let y = 32;\n for (const [key, val] of Object.entries(ok)) {\n let el = document.getElementById(`ok-${key}`);\n if (!el) {\n el = document.createElement('div');\n el.id = `ok-${key}`;\n el.innerText = key;\n el.className = 'ok';\n el.style.top = `${y}px`;\n dom.ok.appendChild(el);\n }\n if (typeof val.status === 'boolean') el.style.backgroundColor = val.status ? 'lightgreen' : 'lightcoral';\n const status = val.status ? 'ok' : 'fail';\n el.innerText = `${key}: ${val.val === 0 ? status : val.val}`;\n y += 28;\n }\n}\n\nasync function validationLoop(): Promise { // main screen refresh loop\n const interpolated = human.next(human.result); // smoothen result using last-known results\n human.draw.canvas(dom.video, dom.canvas); // draw canvas to screen\n await human.draw.all(dom.canvas, interpolated); // draw labels, boxes, lines, etc.\n const now = human.now();\n ok.drawFPS.val = Math.round(10000 / (now - timestamp.draw)) / 10;\n timestamp.draw = now;\n ok.faceCount.val = human.result.face.length;\n ok.faceCount.status = ok.faceCount.val === 1; // must be exactly detected face\n if (ok.faceCount.status) { // skip the rest if no face\n const gestures: string[] = Object.values(human.result.gesture).map((gesture: H.GestureResult) => gesture.gesture); // flatten all gestures\n if (gestures.includes('blink left eye') || gestures.includes('blink right eye')) blink.start = human.now(); // blink starts when eyes get closed\n if (blink.start > 0 && !gestures.includes('blink left eye') && !gestures.includes('blink right eye')) blink.end = human.now(); // if blink started how long until eyes are back open\n ok.blinkDetected.status = ok.blinkDetected.status || (Math.abs(blink.end - blink.start) > options.blinkMin && Math.abs(blink.end - blink.start) < options.blinkMax);\n if (ok.blinkDetected.status && blink.time === 0) blink.time = Math.trunc(blink.end - blink.start);\n ok.facingCenter.status = gestures.includes('facing center');\n ok.lookingCenter.status = gestures.includes('looking center'); // must face camera and look at camera\n ok.faceConfidence.val = human.result.face[0].faceScore || human.result.face[0].boxScore || 0;\n ok.faceConfidence.status = ok.faceConfidence.val >= options.minConfidence;\n ok.antispoofCheck.val = human.result.face[0].real || 0;\n ok.antispoofCheck.status = ok.antispoofCheck.val >= options.minConfidence;\n ok.livenessCheck.val = human.result.face[0].live || 0;\n ok.livenessCheck.status = ok.livenessCheck.val >= options.minConfidence;\n ok.faceSize.val = Math.min(human.result.face[0].box[2], human.result.face[0].box[3]);\n ok.faceSize.status = ok.faceSize.val >= options.minSize;\n ok.distance.val = human.result.face[0].distance || 0;\n ok.distance.status = (ok.distance.val >= options.distanceMin) && (ok.distance.val <= options.distanceMax);\n ok.descriptor.val = human.result.face[0].embedding?.length || 0;\n ok.descriptor.status = ok.descriptor.val > 0;\n ok.age.val = human.result.face[0].age || 0;\n ok.age.status = ok.age.val > 0;\n ok.gender.val = human.result.face[0].genderScore || 0;\n ok.gender.status = ok.gender.val >= options.minConfidence;\n }\n // run again\n ok.timeout.status = ok.elapsedMs.val <= options.maxTime;\n drawValidationTests();\n if (allOk() || !ok.timeout.status) { // all criteria met\n dom.video.pause();\n return human.result.face[0];\n }\n ok.elapsedMs.val = Math.trunc(human.now() - startTime);\n return new Promise((resolve) => {\n setTimeout(async () => {\n await validationLoop(); // run validation loop until conditions are met\n resolve(human.result.face[0]); // recursive promise resolve\n }, 30); // use to slow down refresh from max refresh rate to target of 30 fps\n });\n}\n\nasync function saveRecords() {\n if (dom.name.value.length > 0) {\n const image = dom.canvas.getContext('2d')?.getImageData(0, 0, dom.canvas.width, dom.canvas.height) as ImageData;\n const rec = { id: 0, name: dom.name.value, descriptor: current.face?.embedding as number[], image };\n await indexDb.save(rec);\n log('saved face record:', rec.name, 'descriptor length:', current.face?.embedding?.length);\n log('known face records:', await indexDb.count());\n } else {\n log('invalid name');\n }\n}\n\nasync function deleteRecord() {\n if (current.record && current.record.id > 0) {\n await indexDb.remove(current.record);\n }\n}\n\nasync function detectFace() {\n dom.canvas.style.height = '';\n dom.canvas.getContext('2d')?.clearRect(0, 0, options.minSize, options.minSize);\n if (!current?.face?.tensor || !current?.face?.embedding) return false;\n console.log('face record:', current.face); // eslint-disable-line no-console\n log(`detected face: ${current.face.gender} ${current.face.age || 0}y distance ${100 * (current.face.distance || 0)}cm/${Math.round(100 * (current.face.distance || 0) / 2.54)}in`);\n await human.tf.browser.toPixels(current.face.tensor, dom.canvas);\n if (await indexDb.count() === 0) {\n log('face database is empty: nothing to compare face with');\n document.body.style.background = 'black';\n dom.delete.style.display = 'none';\n return false;\n }\n const db = await indexDb.load();\n const descriptors = db.map((rec) => rec.descriptor).filter((desc) => desc.length > 0);\n const res = human.match.find(current.face.embedding, descriptors, matchOptions);\n current.record = db[res.index] || null;\n if (current.record) {\n log(`best match: ${current.record.name} | id: ${current.record.id} | similarity: ${Math.round(1000 * res.similarity) / 10}%`);\n dom.name.value = current.record.name;\n dom.source.style.display = '';\n dom.source.getContext('2d')?.putImageData(current.record.image, 0, 0);\n }\n document.body.style.background = res.similarity > options.threshold ? 'darkgreen' : 'maroon';\n return res.similarity > options.threshold;\n}\n\nasync function main() { // main entry point\n ok.faceCount.status = false;\n ok.faceConfidence.status = false;\n ok.facingCenter.status = false;\n ok.blinkDetected.status = false;\n ok.faceSize.status = false;\n ok.antispoofCheck.status = false;\n ok.livenessCheck.status = false;\n ok.age.status = false;\n ok.gender.status = false;\n ok.elapsedMs.val = 0;\n dom.match.style.display = 'none';\n dom.retry.style.display = 'none';\n dom.source.style.display = 'none';\n dom.canvas.style.height = '50%';\n document.body.style.background = 'black';\n await webCam();\n await detectionLoop(); // start detection loop\n startTime = human.now();\n current.face = await validationLoop(); // start validation loop\n dom.canvas.width = current.face?.tensor?.shape[1] || options.minSize;\n dom.canvas.height = current.face?.tensor?.shape[0] || options.minSize;\n dom.source.width = dom.canvas.width;\n dom.source.height = dom.canvas.height;\n dom.canvas.style.width = '';\n dom.match.style.display = 'flex';\n dom.save.style.display = 'flex';\n dom.delete.style.display = 'flex';\n dom.retry.style.display = 'block';\n if (!allOk()) { // is all criteria met?\n log('did not find valid face');\n return false;\n }\n return detectFace();\n}\n\nasync function init() {\n log('human version:', human.version, '| tfjs version:', human.tf.version['tfjs-core']);\n log('options:', JSON.stringify(options).replace(/{|}|\"|\\[|\\]/g, '').replace(/,/g, ' '));\n log('initializing webcam...');\n await webCam(); // start webcam\n log('loading human models...');\n await human.load(); // preload all models\n log('initializing human...');\n log('face embedding model:', humanConfig.face.description.enabled ? 'faceres' : '', humanConfig.face['mobilefacenet']?.enabled ? 'mobilefacenet' : '', humanConfig.face['insightface']?.enabled ? 'insightface' : '');\n log('loading face database...');\n log('known face records:', await indexDb.count());\n dom.retry.addEventListener('click', main);\n dom.save.addEventListener('click', saveRecords);\n dom.delete.addEventListener('click', deleteRecord);\n await human.warmup(); // warmup function to initialize backend for future faster detection\n await main();\n}\n\nwindow.onload = init;\n", "let db: IDBDatabase; // instance of indexdb\n\nconst database = 'human';\nconst table = 'person';\n\nexport interface FaceRecord { id: number, name: string, descriptor: number[], image: ImageData }\n\nconst log = (...msg) => console.log('indexdb', ...msg); // eslint-disable-line no-console\n\nexport async function open() {\n if (db) return true;\n return new Promise((resolve) => {\n const request: IDBOpenDBRequest = indexedDB.open(database, 1);\n request.onerror = (evt) => log('error:', evt);\n request.onupgradeneeded = (evt: IDBVersionChangeEvent) => { // create if doesnt exist\n log('create:', evt.target);\n db = (evt.target as IDBOpenDBRequest).result;\n db.createObjectStore(table, { keyPath: 'id', autoIncrement: true });\n };\n request.onsuccess = (evt) => { // open\n db = (evt.target as IDBOpenDBRequest).result;\n log('open:', db);\n resolve(true);\n };\n });\n}\n\nexport async function load(): Promise {\n const faceDB: FaceRecord[] = [];\n if (!db) await open(); // open or create if not already done\n return new Promise((resolve) => {\n const cursor: IDBRequest = db.transaction([table], 'readwrite').objectStore(table).openCursor(null, 'next');\n cursor.onerror = (evt) => log('load error:', evt);\n cursor.onsuccess = (evt) => {\n if ((evt.target as IDBRequest).result) {\n faceDB.push((evt.target as IDBRequest).result.value);\n (evt.target as IDBRequest).result.continue();\n } else {\n resolve(faceDB);\n }\n };\n });\n}\n\nexport async function count(): Promise {\n if (!db) await open(); // open or create if not already done\n return new Promise((resolve) => {\n const store: IDBRequest = db.transaction([table], 'readwrite').objectStore(table).count();\n store.onerror = (evt) => log('count error:', evt);\n store.onsuccess = () => resolve(store.result);\n });\n}\n\nexport async function save(faceRecord: FaceRecord) {\n if (!db) await open(); // open or create if not already done\n const newRecord = { name: faceRecord.name, descriptor: faceRecord.descriptor, image: faceRecord.image }; // omit id as its autoincrement\n db.transaction([table], 'readwrite').objectStore(table).put(newRecord);\n log('save:', newRecord);\n}\n\nexport async function remove(faceRecord: FaceRecord) {\n if (!db) await open(); // open or create if not already done\n db.transaction([table], 'readwrite').objectStore(table).delete(faceRecord.id); // delete based on id\n log('delete:', faceRecord);\n}\n"], - "mappings": ";;;;;;AASA,UAAYA,MAAO,0BCTnB,IAAIC,EAEEC,EAAW,QACXC,EAAQ,SAIRC,EAAM,IAAIC,IAAQ,QAAQ,IAAI,UAAW,GAAGA,CAAG,EAErD,eAAsBC,GAAO,CAC3B,OAAIL,EAAW,GACR,IAAI,QAASM,GAAY,CAC9B,IAAMC,EAA4B,UAAU,KAAKN,EAAU,CAAC,EAC5DM,EAAQ,QAAWC,GAAQL,EAAI,SAAUK,CAAG,EAC5CD,EAAQ,gBAAmBC,GAA+B,CACxDL,EAAI,UAAWK,EAAI,MAAM,EACzBR,EAAMQ,EAAI,OAA4B,OACtCR,EAAG,kBAAkBE,EAAO,CAAE,QAAS,KAAM,cAAe,EAAK,CAAC,CACpE,EACAK,EAAQ,UAAaC,GAAQ,CAC3BR,EAAMQ,EAAI,OAA4B,OACtCL,EAAI,QAASH,CAAE,EACfM,EAAQ,EAAI,CACd,CACF,CAAC,CACH,CAEA,eAAsBG,GAA8B,CAClD,IAAMC,EAAuB,CAAC,EAC9B,OAAKV,GAAI,MAAMK,EAAK,EACb,IAAI,QAASC,GAAY,CAC9B,IAAMK,EAAqBX,EAAG,YAAY,CAACE,CAAK,EAAG,WAAW,EAAE,YAAYA,CAAK,EAAE,WAAW,KAAM,MAAM,EAC1GS,EAAO,QAAWH,GAAQL,EAAI,cAAeK,CAAG,EAChDG,EAAO,UAAaH,GAAQ,CACrBA,EAAI,OAAsB,QAC7BE,EAAO,KAAMF,EAAI,OAAsB,OAAO,KAAK,EAClDA,EAAI,OAAsB,OAAO,SAAS,GAE3CF,EAAQI,CAAM,CAElB,CACF,CAAC,CACH,CAEA,eAAsBE,GAAyB,CAC7C,OAAKZ,GAAI,MAAMK,EAAK,EACb,IAAI,QAASC,GAAY,CAC9B,IAAMO,EAAoBb,EAAG,YAAY,CAACE,CAAK,EAAG,WAAW,EAAE,YAAYA,CAAK,EAAE,MAAM,EACxFW,EAAM,QAAWL,GAAQL,EAAI,eAAgBK,CAAG,EAChDK,EAAM,UAAY,IAAMP,EAAQO,EAAM,MAAM,CAC9C,CAAC,CACH,CAEA,eAAsBC,EAAKC,EAAwB,CAC5Cf,GAAI,MAAMK,EAAK,EACpB,IAAMW,EAAY,CAAE,KAAMD,EAAW,KAAM,WAAYA,EAAW,WAAY,MAAOA,EAAW,KAAM,EACtGf,EAAG,YAAY,CAACE,CAAK,EAAG,WAAW,EAAE,YAAYA,CAAK,EAAE,IAAIc,CAAS,EACrEb,EAAI,QAASa,CAAS,CACxB,CAEA,eAAsBC,EAAOF,EAAwB,CAC9Cf,GAAI,MAAMK,EAAK,EACpBL,EAAG,YAAY,CAACE,CAAK,EAAG,WAAW,EAAE,YAAYA,CAAK,EAAE,OAAOa,EAAW,EAAE,EAC5EZ,EAAI,UAAWY,CAAU,CAC3B,CDpDA,IAAMG,EAAc,CAClB,iBAAkB,EAClB,cAAe,eACf,OAAQ,CAAE,QAAS,GAAM,aAAc,EAAK,EAC5C,MAAO,GACP,KAAM,CACJ,QAAS,GACT,SAAU,CAAE,SAAU,GAAM,OAAQ,GAAM,KAAM,EAAM,EACtD,YAAa,CAAE,QAAS,EAAK,EAG7B,KAAM,CAAE,QAAS,EAAK,EACtB,QAAS,CAAE,QAAS,EAAM,EAC1B,UAAW,CAAE,QAAS,EAAK,EAC3B,SAAU,CAAE,QAAS,EAAK,CAC5B,EACA,KAAM,CAAE,QAAS,EAAM,EACvB,KAAM,CAAE,QAAS,EAAM,EACvB,OAAQ,CAAE,QAAS,EAAM,EACzB,QAAS,CAAE,QAAS,EAAK,CAC3B,EAGMC,EAAe,CAAE,MAAO,EAAG,WAAY,GAAI,IAAK,GAAK,IAAK,EAAI,EAE9DC,EAAU,CACd,cAAe,GACf,QAAS,IACT,QAAS,IACT,SAAU,GACV,SAAU,IACV,UAAW,GACX,YAAa,GACb,YAAa,EACb,KAAMF,EAAY,KAAK,SAAS,KAChC,SAAUA,EAAY,KAAK,SAAS,SACpC,GAAGC,CACL,EAEME,EAAmE,CACvE,UAAW,CAAE,OAAQ,GAAO,IAAK,CAAE,EACnC,eAAgB,CAAE,OAAQ,GAAO,IAAK,CAAE,EACxC,aAAc,CAAE,OAAQ,GAAO,IAAK,CAAE,EACtC,cAAe,CAAE,OAAQ,GAAO,IAAK,CAAE,EACvC,cAAe,CAAE,OAAQ,GAAO,IAAK,CAAE,EACvC,SAAU,CAAE,OAAQ,GAAO,IAAK,CAAE,EAClC,eAAgB,CAAE,OAAQ,GAAO,IAAK,CAAE,EACxC,cAAe,CAAE,OAAQ,GAAO,IAAK,CAAE,EACvC,SAAU,CAAE,OAAQ,GAAO,IAAK,CAAE,EAClC,IAAK,CAAE,OAAQ,GAAO,IAAK,CAAE,EAC7B,OAAQ,CAAE,OAAQ,GAAO,IAAK,CAAE,EAChC,QAAS,CAAE,OAAQ,GAAM,IAAK,CAAE,EAChC,WAAY,CAAE,OAAQ,GAAO,IAAK,CAAE,EACpC,UAAW,CAAE,OAAQ,OAAW,IAAK,CAAE,EACvC,UAAW,CAAE,OAAQ,OAAW,IAAK,CAAE,EACvC,QAAS,CAAE,OAAQ,OAAW,IAAK,CAAE,CACvC,EAEMC,EAAQ,IAAMD,EAAG,UAAU,QAC5BA,EAAG,SAAS,QACZA,EAAG,cAAc,QACjBA,EAAG,aAAa,QAChBA,EAAG,cAAc,QACjBA,EAAG,eAAe,QAClBA,EAAG,eAAe,QAClBA,EAAG,cAAc,QACjBA,EAAG,SAAS,QACZA,EAAG,WAAW,QACdA,EAAG,IAAI,QACPA,EAAG,OAAO,OAETE,EAA4E,CAAE,KAAM,KAAM,OAAQ,IAAK,EAEvGC,EAAQ,CACZ,MAAO,EACP,IAAK,EACL,KAAM,CACR,EAGMC,EAAQ,IAAM,QAAMP,CAAW,EAErCO,EAAM,IAAI,QAAU,GACpBA,EAAM,KAAK,QAAQ,KAAO,yBAC1BA,EAAM,KAAK,QAAQ,WAAa,GAEhC,IAAMC,EAAM,CACV,MAAO,SAAS,eAAe,OAAO,EACtC,OAAQ,SAAS,eAAe,QAAQ,EACxC,IAAK,SAAS,eAAe,KAAK,EAClC,IAAK,SAAS,eAAe,KAAK,EAClC,MAAO,SAAS,eAAe,OAAO,EACtC,KAAM,SAAS,eAAe,MAAM,EACpC,KAAM,SAAS,eAAe,MAAM,EACpC,OAAQ,SAAS,eAAe,QAAQ,EACxC,MAAO,SAAS,eAAe,OAAO,EACtC,OAAQ,SAAS,eAAe,QAAQ,EACxC,GAAI,SAAS,eAAe,IAAI,CAClC,EACMC,EAAY,CAAE,OAAQ,EAAG,KAAM,CAAE,EACnCC,EAAY,EAEVC,EAAM,IAAIC,IAAQ,CACtBJ,EAAI,IAAI,WAAaI,EAAI,KAAK,GAAG,EAAI;AAAA,EACrC,QAAQ,IAAI,GAAGA,CAAG,CACpB,EAEA,eAAeC,GAAS,CAEtB,IAAMC,EAAwC,CAAE,MAAO,GAAO,MAAO,CAAE,WAAY,OAAQ,WAAY,OAAQ,MAAO,CAAE,MAAO,SAAS,KAAK,WAAY,CAAE,CAAE,EACvJC,EAAsB,MAAM,UAAU,aAAa,aAAaD,CAAa,EAC7EE,EAAQ,IAAI,QAASC,GAAY,CAAET,EAAI,MAAM,aAAe,IAAMS,EAAQ,EAAI,CAAG,CAAC,EACxFT,EAAI,MAAM,UAAYO,EACjBP,EAAI,MAAM,KAAK,EACpB,MAAMQ,EACNR,EAAI,OAAO,MAAQA,EAAI,MAAM,WAC7BA,EAAI,OAAO,OAASA,EAAI,MAAM,YAC9BA,EAAI,OAAO,MAAM,MAAQ,MACzBA,EAAI,OAAO,MAAM,OAAS,MACtBD,EAAM,IAAI,SAASI,EAAI,SAAUH,EAAI,MAAM,WAAYA,EAAI,MAAM,YAAa,IAAKO,EAAO,eAAe,EAAE,CAAC,EAAE,KAAK,EACvHP,EAAI,OAAO,QAAU,IAAM,CACrBA,EAAI,MAAM,OAAaA,EAAI,MAAM,KAAK,EACrCA,EAAI,MAAM,MAAM,CACvB,CACF,CAEA,eAAeU,GAAgB,CA1I/B,IAAAC,EA2IE,GAAI,CAACX,EAAI,MAAM,OAAQ,EACjBW,EAAAd,EAAQ,OAAR,MAAAc,EAAc,QAAQZ,EAAM,GAAG,QAAQF,EAAQ,KAAK,MAAM,EAC9D,MAAME,EAAM,OAAOC,EAAI,KAAK,EAC5B,IAAMY,EAAMb,EAAM,IAAI,EACtBJ,EAAG,UAAU,IAAM,KAAK,MAAM,KAASiB,EAAMX,EAAU,OAAO,EAAI,GAClEA,EAAU,OAASW,EACnB,sBAAsBF,CAAa,EAEvC,CAEA,SAASG,GAAsB,CAC7B,IAAIC,EAAI,GACR,OAAW,CAACC,EAAKC,CAAG,IAAK,OAAO,QAAQrB,CAAE,EAAG,CAC3C,IAAIsB,EAAK,SAAS,eAAe,MAAMF,GAAK,EACvCE,IACHA,EAAK,SAAS,cAAc,KAAK,EACjCA,EAAG,GAAK,MAAMF,IACdE,EAAG,UAAYF,EACfE,EAAG,UAAY,KACfA,EAAG,MAAM,IAAM,GAAGH,MAClBd,EAAI,GAAG,YAAYiB,CAAE,GAEnB,OAAOD,EAAI,QAAW,YAAWC,EAAG,MAAM,gBAAkBD,EAAI,OAAS,aAAe,cAC5F,IAAME,EAASF,EAAI,OAAS,KAAO,OACnCC,EAAG,UAAY,GAAGF,MAAQC,EAAI,MAAQ,EAAIE,EAASF,EAAI,MACvDF,GAAK,GAET,CAEA,eAAeK,GAAwC,CAxKvD,IAAAR,EAyKE,IAAMS,EAAerB,EAAM,KAAKA,EAAM,MAAM,EAC5CA,EAAM,KAAK,OAAOC,EAAI,MAAOA,EAAI,MAAM,EACvC,MAAMD,EAAM,KAAK,IAAIC,EAAI,OAAQoB,CAAY,EAC7C,IAAMR,EAAMb,EAAM,IAAI,EAKtB,GAJAJ,EAAG,QAAQ,IAAM,KAAK,MAAM,KAASiB,EAAMX,EAAU,KAAK,EAAI,GAC9DA,EAAU,KAAOW,EACjBjB,EAAG,UAAU,IAAMI,EAAM,OAAO,KAAK,OACrCJ,EAAG,UAAU,OAASA,EAAG,UAAU,MAAQ,EACvCA,EAAG,UAAU,OAAQ,CACvB,IAAM0B,EAAqB,OAAO,OAAOtB,EAAM,OAAO,OAAO,EAAE,IAAKuB,GAA6BA,EAAQ,OAAO,GAC5GD,EAAS,SAAS,gBAAgB,GAAKA,EAAS,SAAS,iBAAiB,KAAGvB,EAAM,MAAQC,EAAM,IAAI,GACrGD,EAAM,MAAQ,GAAK,CAACuB,EAAS,SAAS,gBAAgB,GAAK,CAACA,EAAS,SAAS,iBAAiB,IAAGvB,EAAM,IAAMC,EAAM,IAAI,GAC5HJ,EAAG,cAAc,OAASA,EAAG,cAAc,QAAW,KAAK,IAAIG,EAAM,IAAMA,EAAM,KAAK,EAAIJ,EAAQ,UAAY,KAAK,IAAII,EAAM,IAAMA,EAAM,KAAK,EAAIJ,EAAQ,SACtJC,EAAG,cAAc,QAAUG,EAAM,OAAS,IAAGA,EAAM,KAAO,KAAK,MAAMA,EAAM,IAAMA,EAAM,KAAK,GAChGH,EAAG,aAAa,OAAS0B,EAAS,SAAS,eAAe,EAC1D1B,EAAG,cAAc,OAAS0B,EAAS,SAAS,gBAAgB,EAC5D1B,EAAG,eAAe,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,WAAaA,EAAM,OAAO,KAAK,CAAC,EAAE,UAAY,EAC3FJ,EAAG,eAAe,OAASA,EAAG,eAAe,KAAOD,EAAQ,cAC5DC,EAAG,eAAe,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,MAAQ,EACrDJ,EAAG,eAAe,OAASA,EAAG,eAAe,KAAOD,EAAQ,cAC5DC,EAAG,cAAc,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,MAAQ,EACpDJ,EAAG,cAAc,OAASA,EAAG,cAAc,KAAOD,EAAQ,cAC1DC,EAAG,SAAS,IAAM,KAAK,IAAII,EAAM,OAAO,KAAK,CAAC,EAAE,IAAI,CAAC,EAAGA,EAAM,OAAO,KAAK,CAAC,EAAE,IAAI,CAAC,CAAC,EACnFJ,EAAG,SAAS,OAASA,EAAG,SAAS,KAAOD,EAAQ,QAChDC,EAAG,SAAS,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,UAAY,EACnDJ,EAAG,SAAS,OAAUA,EAAG,SAAS,KAAOD,EAAQ,aAAiBC,EAAG,SAAS,KAAOD,EAAQ,YAC7FC,EAAG,WAAW,MAAMgB,EAAAZ,EAAM,OAAO,KAAK,CAAC,EAAE,YAArB,YAAAY,EAAgC,SAAU,EAC9DhB,EAAG,WAAW,OAASA,EAAG,WAAW,IAAM,EAC3CA,EAAG,IAAI,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,KAAO,EACzCJ,EAAG,IAAI,OAASA,EAAG,IAAI,IAAM,EAC7BA,EAAG,OAAO,IAAMI,EAAM,OAAO,KAAK,CAAC,EAAE,aAAe,EACpDJ,EAAG,OAAO,OAASA,EAAG,OAAO,KAAOD,EAAQ,cAK9C,OAFAC,EAAG,QAAQ,OAASA,EAAG,UAAU,KAAOD,EAAQ,QAChDmB,EAAoB,EAChBjB,EAAM,GAAK,CAACD,EAAG,QAAQ,QACzBK,EAAI,MAAM,MAAM,EACTD,EAAM,OAAO,KAAK,CAAC,IAE5BJ,EAAG,UAAU,IAAM,KAAK,MAAMI,EAAM,IAAI,EAAIG,CAAS,EAC9C,IAAI,QAASO,GAAY,CAC9B,WAAW,SAAY,CACrB,MAAMU,EAAe,EACrBV,EAAQV,EAAM,OAAO,KAAK,CAAC,CAAC,CAC9B,EAAG,EAAE,CACP,CAAC,EACH,CAEA,eAAewB,GAAc,CA1N7B,IAAAZ,EAAAa,EAAAC,EAAAC,EA2NE,GAAI1B,EAAI,KAAK,MAAM,OAAS,EAAG,CAC7B,IAAM2B,GAAQhB,EAAAX,EAAI,OAAO,WAAW,IAAI,IAA1B,YAAAW,EAA6B,aAAa,EAAG,EAAGX,EAAI,OAAO,MAAOA,EAAI,OAAO,QACrF4B,EAAM,CAAE,GAAI,EAAG,KAAM5B,EAAI,KAAK,MAAO,YAAYwB,EAAA3B,EAAQ,OAAR,YAAA2B,EAAc,UAAuB,MAAAG,CAAM,EAClG,MAAcE,EAAKD,CAAG,EACtBzB,EAAI,qBAAsByB,EAAI,KAAM,sBAAsBF,GAAAD,EAAA5B,EAAQ,OAAR,YAAA4B,EAAc,YAAd,YAAAC,EAAyB,MAAM,EACzFvB,EAAI,sBAAuB,MAAc2B,EAAM,CAAC,OAEhD3B,EAAI,cAAc,CAEtB,CAEA,eAAe4B,GAAe,CACxBlC,EAAQ,QAAUA,EAAQ,OAAO,GAAK,GACxC,MAAcmC,EAAOnC,EAAQ,MAAM,CAEvC,CAEA,eAAeoC,GAAa,CA5O5B,IAAAtB,EAAAa,EAAAC,EAAAC,EA+OE,GAFA1B,EAAI,OAAO,MAAM,OAAS,IAC1BW,EAAAX,EAAI,OAAO,WAAW,IAAI,IAA1B,MAAAW,EAA6B,UAAU,EAAG,EAAGjB,EAAQ,QAASA,EAAQ,SAClE,GAAC8B,EAAA3B,GAAA,YAAAA,EAAS,OAAT,MAAA2B,EAAe,SAAU,GAACC,EAAA5B,GAAA,YAAAA,EAAS,OAAT,MAAA4B,EAAe,WAAW,MAAO,GAIhE,GAHA,QAAQ,IAAI,eAAgB5B,EAAQ,IAAI,EACxCM,EAAI,kBAAkBN,EAAQ,KAAK,UAAUA,EAAQ,KAAK,KAAO,eAAe,KAAOA,EAAQ,KAAK,UAAY,QAAQ,KAAK,MAAM,KAAOA,EAAQ,KAAK,UAAY,GAAK,IAAI,KAAK,EACjL,MAAME,EAAM,GAAG,QAAQ,SAASF,EAAQ,KAAK,OAAQG,EAAI,MAAM,EAC3D,MAAc8B,EAAM,IAAM,EAC5B,OAAA3B,EAAI,sDAAsD,EAC1D,SAAS,KAAK,MAAM,WAAa,QACjCH,EAAI,OAAO,MAAM,QAAU,OACpB,GAET,IAAMkC,EAAK,MAAcC,EAAK,EACxBC,EAAcF,EAAG,IAAKN,GAAQA,EAAI,UAAU,EAAE,OAAQS,GAASA,EAAK,OAAS,CAAC,EAC9EC,EAAMvC,EAAM,MAAM,KAAKF,EAAQ,KAAK,UAAWuC,EAAa3C,CAAY,EAC9E,OAAAI,EAAQ,OAASqC,EAAGI,EAAI,KAAK,GAAK,KAC9BzC,EAAQ,SACVM,EAAI,eAAeN,EAAQ,OAAO,cAAcA,EAAQ,OAAO,oBAAoB,KAAK,MAAM,IAAOyC,EAAI,UAAU,EAAI,KAAK,EAC5HtC,EAAI,KAAK,MAAQH,EAAQ,OAAO,KAChCG,EAAI,OAAO,MAAM,QAAU,IAC3B0B,EAAA1B,EAAI,OAAO,WAAW,IAAI,IAA1B,MAAA0B,EAA6B,aAAa7B,EAAQ,OAAO,MAAO,EAAG,IAErE,SAAS,KAAK,MAAM,WAAayC,EAAI,WAAa5C,EAAQ,UAAY,YAAc,SAC7E4C,EAAI,WAAa5C,EAAQ,SAClC,CAEA,eAAe6C,GAAO,CAvQtB,IAAA5B,EAAAa,EAAAC,EAAAC,EAoSE,OA5BA/B,EAAG,UAAU,OAAS,GACtBA,EAAG,eAAe,OAAS,GAC3BA,EAAG,aAAa,OAAS,GACzBA,EAAG,cAAc,OAAS,GAC1BA,EAAG,SAAS,OAAS,GACrBA,EAAG,eAAe,OAAS,GAC3BA,EAAG,cAAc,OAAS,GAC1BA,EAAG,IAAI,OAAS,GAChBA,EAAG,OAAO,OAAS,GACnBA,EAAG,UAAU,IAAM,EACnBK,EAAI,MAAM,MAAM,QAAU,OAC1BA,EAAI,MAAM,MAAM,QAAU,OAC1BA,EAAI,OAAO,MAAM,QAAU,OAC3BA,EAAI,OAAO,MAAM,OAAS,MAC1B,SAAS,KAAK,MAAM,WAAa,QACjC,MAAMK,EAAO,EACb,MAAMK,EAAc,EACpBR,EAAYH,EAAM,IAAI,EACtBF,EAAQ,KAAO,MAAMsB,EAAe,EACpCnB,EAAI,OAAO,QAAQwB,GAAAb,EAAAd,EAAQ,OAAR,YAAAc,EAAc,SAAd,YAAAa,EAAsB,MAAM,KAAM9B,EAAQ,QAC7DM,EAAI,OAAO,SAAS0B,GAAAD,EAAA5B,EAAQ,OAAR,YAAA4B,EAAc,SAAd,YAAAC,EAAsB,MAAM,KAAMhC,EAAQ,QAC9DM,EAAI,OAAO,MAAQA,EAAI,OAAO,MAC9BA,EAAI,OAAO,OAASA,EAAI,OAAO,OAC/BA,EAAI,OAAO,MAAM,MAAQ,GACzBA,EAAI,MAAM,MAAM,QAAU,OAC1BA,EAAI,KAAK,MAAM,QAAU,OACzBA,EAAI,OAAO,MAAM,QAAU,OAC3BA,EAAI,MAAM,MAAM,QAAU,QACrBJ,EAAM,EAIJqC,EAAW,GAHhB9B,EAAI,yBAAyB,EACtB,GAGX,CAEA,eAAeqC,GAAO,CA3StB,IAAA7B,EAAAa,EA4SErB,EAAI,iBAAkBJ,EAAM,QAAS,kBAAmBA,EAAM,GAAG,QAAQ,WAAW,CAAC,EACrFI,EAAI,WAAY,KAAK,UAAUT,CAAO,EAAE,QAAQ,eAAgB,EAAE,EAAE,QAAQ,KAAM,GAAG,CAAC,EACtFS,EAAI,wBAAwB,EAC5B,MAAME,EAAO,EACbF,EAAI,yBAAyB,EAC7B,MAAMJ,EAAM,KAAK,EACjBI,EAAI,uBAAuB,EAC3BA,EAAI,wBAAyBX,EAAY,KAAK,YAAY,QAAU,UAAY,IAAImB,EAAAnB,EAAY,KAAK,gBAAjB,MAAAmB,EAAmC,QAAU,gBAAkB,IAAIa,EAAAhC,EAAY,KAAK,cAAjB,MAAAgC,EAAiC,QAAU,cAAgB,EAAE,EACpNrB,EAAI,0BAA0B,EAC9BA,EAAI,sBAAuB,MAAc2B,EAAM,CAAC,EAChD9B,EAAI,MAAM,iBAAiB,QAASuC,CAAI,EACxCvC,EAAI,KAAK,iBAAiB,QAASuB,CAAW,EAC9CvB,EAAI,OAAO,iBAAiB,QAAS+B,CAAY,EACjD,MAAMhC,EAAM,OAAO,EACnB,MAAMwC,EAAK,CACb,CAEA,OAAO,OAASC", - "names": ["H", "db", "database", "table", "log", "msg", "open", "resolve", "request", "evt", "load", "faceDB", "cursor", "count", "store", "save", "faceRecord", "newRecord", "remove", "humanConfig", "matchOptions", "options", "ok", "allOk", "current", "blink", "human", "dom", "timestamp", "startTime", "log", "msg", "webCam", "cameraOptions", "stream", "ready", "resolve", "detectionLoop", "_a", "now", "drawValidationTests", "y", "key", "val", "el", "status", "validationLoop", "interpolated", "gestures", "gesture", "saveRecords", "_b", "_c", "_d", "image", "rec", "save", "count", "deleteRecord", "remove", "detectFace", "db", "load", "descriptors", "desc", "res", "main", "init"] + "mappings": ";;;;;;;;AASA,YAAY,OAAO;;;ACTnB,IAAI;AAEJ,IAAM,WAAW;AACjB,IAAM,QAAQ;AAId,IAAM,MAAM,IAAI,QAAQ,QAAQ,IAAI,WAAW,GAAG,GAAG;AAErD,eAAsB,OAAO;AAC3B,MAAI;AAAI,WAAO;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,UAA4B,UAAU,KAAK,UAAU,CAAC;AAC5D,YAAQ,UAAU,CAAC,QAAQ,IAAI,UAAU,GAAG;AAC5C,YAAQ,kBAAkB,CAAC,QAA+B;AACxD,UAAI,WAAW,IAAI,MAAM;AACzB,WAAM,IAAI,OAA4B;AACtC,SAAG,kBAAkB,OAAO,EAAE,SAAS,MAAM,eAAe,KAAK,CAAC;AAAA,IACpE;AACA,YAAQ,YAAY,CAAC,QAAQ;AAC3B,WAAM,IAAI,OAA4B;AACtC,UAAI,SAAS,EAAE;AACf,cAAQ,IAAI;AAAA,IACd;AAAA,EACF,CAAC;AACH;AAEA,eAAsB,OAA8B;AAClD,QAAM,SAAuB,CAAC;AAC9B,MAAI,CAAC;AAAI,UAAM,KAAK;AACpB,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,SAAqB,GAAG,YAAY,CAAC,KAAK,GAAG,WAAW,EAAE,YAAY,KAAK,EAAE,WAAW,MAAM,MAAM;AAC1G,WAAO,UAAU,CAAC,QAAQ,IAAI,eAAe,GAAG;AAChD,WAAO,YAAY,CAAC,QAAQ;AAC1B,UAAK,IAAI,OAAsB,QAAQ;AACrC,eAAO,KAAM,IAAI,OAAsB,OAAO,KAAK;AACnD,QAAC,IAAI,OAAsB,OAAO,SAAS;AAAA,MAC7C,OAAO;AACL,gBAAQ,MAAM;AAAA,MAChB;AAAA,IACF;AAAA,EACF,CAAC;AACH;AAEA,eAAsB,QAAyB;AAC7C,MAAI,CAAC;AAAI,UAAM,KAAK;AACpB,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,QAAoB,GAAG,YAAY,CAAC,KAAK,GAAG,WAAW,EAAE,YAAY,KAAK,EAAE,MAAM;AACxF,UAAM,UAAU,CAAC,QAAQ,IAAI,gBAAgB,GAAG;AAChD,UAAM,YAAY,MAAM,QAAQ,MAAM,MAAM;AAAA,EAC9C,CAAC;AACH;AAEA,eAAsB,KAAK,YAAwB;AACjD,MAAI,CAAC;AAAI,UAAM,KAAK;AACpB,QAAM,YAAY,EAAE,MAAM,WAAW,MAAM,YAAY,WAAW,YAAY,OAAO,WAAW,MAAM;AACtG,KAAG,YAAY,CAAC,KAAK,GAAG,WAAW,EAAE,YAAY,KAAK,EAAE,IAAI,SAAS;AACrE,MAAI,SAAS,SAAS;AACxB;AAEA,eAAsB,OAAO,YAAwB;AACnD,MAAI,CAAC;AAAI,UAAM,KAAK;AACpB,KAAG,YAAY,CAAC,KAAK,GAAG,WAAW,EAAE,YAAY,KAAK,EAAE,OAAO,WAAW,EAAE;AAC5E,MAAI,WAAW,UAAU;AAC3B;;;ADpDA,IAAM,cAAc;AAAA;AAAA,EAClB,kBAAkB;AAAA,EAClB,eAAe;AAAA,EACf,QAAQ,EAAE,SAAS,MAAM,cAAc,KAAK;AAAA;AAAA,EAC5C,OAAO;AAAA,EACP,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU,EAAE,UAAU,MAAM,QAAQ,MAAM,MAAM,MAAM;AAAA;AAAA,IACtD,aAAa,EAAE,SAAS,KAAK;AAAA;AAAA;AAAA;AAAA,IAG7B,MAAM,EAAE,SAAS,KAAK;AAAA;AAAA,IACtB,SAAS,EAAE,SAAS,MAAM;AAAA;AAAA,IAC1B,WAAW,EAAE,SAAS,KAAK;AAAA;AAAA,IAC3B,UAAU,EAAE,SAAS,KAAK;AAAA;AAAA,EAC5B;AAAA,EACA,MAAM,EAAE,SAAS,MAAM;AAAA,EACvB,MAAM,EAAE,SAAS,MAAM;AAAA,EACvB,QAAQ,EAAE,SAAS,MAAM;AAAA,EACzB,SAAS,EAAE,SAAS,KAAK;AAAA;AAC3B;AAGA,IAAM,eAAe,EAAE,OAAO,GAAG,YAAY,IAAI,KAAK,KAAK,KAAK,IAAI;AAEpE,IAAM,UAAU;AAAA,EACd,eAAe;AAAA;AAAA,EACf,SAAS;AAAA;AAAA,EACT,SAAS;AAAA;AAAA,EACT,UAAU;AAAA;AAAA,EACV,UAAU;AAAA;AAAA,EACV,WAAW;AAAA;AAAA,EACX,aAAa;AAAA;AAAA,EACb,aAAa;AAAA;AAAA,EACb,MAAM,YAAY,KAAK,SAAS;AAAA,EAChC,UAAU,YAAY,KAAK,SAAS;AAAA,EACpC,GAAG;AACL;AAEA,IAAM,KAAmE;AAAA;AAAA,EACvE,WAAW,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACnC,gBAAgB,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACxC,cAAc,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACtC,eAAe,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACvC,eAAe,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACvC,UAAU,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EAClC,gBAAgB,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACxC,eAAe,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACvC,UAAU,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EAClC,KAAK,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EAC7B,QAAQ,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EAChC,SAAS,EAAE,QAAQ,MAAM,KAAK,EAAE;AAAA,EAChC,YAAY,EAAE,QAAQ,OAAO,KAAK,EAAE;AAAA,EACpC,WAAW,EAAE,QAAQ,QAAW,KAAK,EAAE;AAAA;AAAA,EACvC,WAAW,EAAE,QAAQ,QAAW,KAAK,EAAE;AAAA;AAAA,EACvC,SAAS,EAAE,QAAQ,QAAW,KAAK,EAAE;AAAA;AACvC;AAEA,IAAM,QAAQ,MAAM,GAAG,UAAU,UAC5B,GAAG,SAAS,UACZ,GAAG,cAAc,UACjB,GAAG,aAAa,UAChB,GAAG,cAAc,UACjB,GAAG,eAAe,UAClB,GAAG,eAAe,UAClB,GAAG,cAAc,UACjB,GAAG,SAAS,UACZ,GAAG,WAAW,UACd,GAAG,IAAI,UACP,GAAG,OAAO;AAEf,IAAM,UAA4E,EAAE,MAAM,MAAM,QAAQ,KAAK;AAE7G,IAAM,QAAQ;AAAA;AAAA,EACZ,OAAO;AAAA,EACP,KAAK;AAAA,EACL,MAAM;AACR;AAGA,IAAM,QAAQ,IAAM,QAAM,WAAW;AAErC,MAAM,IAAI,UAAU;AACpB,MAAM,KAAK,QAAQ,OAAO;AAC1B,MAAM,KAAK,QAAQ,aAAa;AAEhC,IAAM,MAAM;AAAA;AAAA,EACV,OAAO,SAAS,eAAe,OAAO;AAAA,EACtC,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,KAAK,SAAS,eAAe,KAAK;AAAA,EAClC,KAAK,SAAS,eAAe,KAAK;AAAA,EAClC,OAAO,SAAS,eAAe,OAAO;AAAA,EACtC,MAAM,SAAS,eAAe,MAAM;AAAA,EACpC,MAAM,SAAS,eAAe,MAAM;AAAA,EACpC,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,OAAO,SAAS,eAAe,OAAO;AAAA,EACtC,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,IAAI,SAAS,eAAe,IAAI;AAClC;AACA,IAAM,YAAY,EAAE,QAAQ,GAAG,MAAM,EAAE;AACvC,IAAI,YAAY;AAEhB,IAAMA,OAAM,IAAI,QAAQ;AACtB,MAAI,IAAI,aAAa,IAAI,KAAK,GAAG,IAAI;AACrC,UAAQ,IAAI,GAAG,GAAG;AACpB;AAEA,eAAe,SAAS;AAEtB,QAAM,gBAAwC,EAAE,OAAO,OAAO,OAAO,EAAE,YAAY,QAAQ,YAAY,QAAQ,OAAO,EAAE,OAAO,SAAS,KAAK,YAAY,EAAE,EAAE;AAC7J,QAAM,SAAsB,MAAM,UAAU,aAAa,aAAa,aAAa;AACnF,QAAM,QAAQ,IAAI,QAAQ,CAAC,YAAY;AAAE,QAAI,MAAM,eAAe,MAAM,QAAQ,IAAI;AAAA,EAAG,CAAC;AACxF,MAAI,MAAM,YAAY;AACtB,OAAK,IAAI,MAAM,KAAK;AACpB,QAAM;AACN,MAAI,OAAO,QAAQ,IAAI,MAAM;AAC7B,MAAI,OAAO,SAAS,IAAI,MAAM;AAC9B,MAAI,OAAO,MAAM,QAAQ;AACzB,MAAI,OAAO,MAAM,SAAS;AAC1B,MAAI,MAAM,IAAI;AAAS,IAAAA,KAAI,UAAU,IAAI,MAAM,YAAY,IAAI,MAAM,aAAa,KAAK,OAAO,eAAe,EAAE,CAAC,EAAE,KAAK;AACvH,MAAI,OAAO,UAAU,MAAM;AACzB,QAAI,IAAI,MAAM;AAAQ,WAAK,IAAI,MAAM,KAAK;AAAA;AACrC,UAAI,MAAM,MAAM;AAAA,EACvB;AACF;AAEA,eAAe,gBAAgB;AA1I/B;AA2IE,MAAI,CAAC,IAAI,MAAM,QAAQ;AACrB,SAAI,aAAQ,SAAR,mBAAc;AAAQ,YAAM,GAAG,QAAQ,QAAQ,KAAK,MAAM;AAC9D,UAAM,MAAM,OAAO,IAAI,KAAK;AAC5B,UAAM,MAAM,MAAM,IAAI;AACtB,OAAG,UAAU,MAAM,KAAK,MAAM,OAAS,MAAM,UAAU,OAAO,IAAI;AAClE,cAAU,SAAS;AACnB,0BAAsB,aAAa;AAAA,EACrC;AACF;AAEA,SAAS,sBAAsB;AAC7B,MAAI,IAAI;AACR,aAAW,CAAC,KAAK,GAAG,KAAK,OAAO,QAAQ,EAAE,GAAG;AAC3C,QAAI,KAAK,SAAS,eAAe,MAAM,KAAK;AAC5C,QAAI,CAAC,IAAI;AACP,WAAK,SAAS,cAAc,KAAK;AACjC,SAAG,KAAK,MAAM;AACd,SAAG,YAAY;AACf,SAAG,YAAY;AACf,SAAG,MAAM,MAAM,GAAG;AAClB,UAAI,GAAG,YAAY,EAAE;AAAA,IACvB;AACA,QAAI,OAAO,IAAI,WAAW;AAAW,SAAG,MAAM,kBAAkB,IAAI,SAAS,eAAe;AAC5F,UAAM,SAAS,IAAI,SAAS,OAAO;AACnC,OAAG,YAAY,GAAG,QAAQ,IAAI,QAAQ,IAAI,SAAS,IAAI;AACvD,SAAK;AAAA,EACP;AACF;AAEA,eAAe,iBAAwC;AAxKvD;AAyKE,QAAM,eAAe,MAAM,KAAK,MAAM,MAAM;AAC5C,QAAM,KAAK,OAAO,IAAI,OAAO,IAAI,MAAM;AACvC,QAAM,MAAM,KAAK,IAAI,IAAI,QAAQ,YAAY;AAC7C,QAAM,MAAM,MAAM,IAAI;AACtB,KAAG,QAAQ,MAAM,KAAK,MAAM,OAAS,MAAM,UAAU,KAAK,IAAI;AAC9D,YAAU,OAAO;AACjB,KAAG,UAAU,MAAM,MAAM,OAAO,KAAK;AACrC,KAAG,UAAU,SAAS,GAAG,UAAU,QAAQ;AAC3C,MAAI,GAAG,UAAU,QAAQ;AACvB,UAAM,WAAqB,OAAO,OAAO,MAAM,OAAO,OAAO,EAAE,IAAI,CAAC,YAA6B,QAAQ,OAAO;AAChH,QAAI,SAAS,SAAS,gBAAgB,KAAK,SAAS,SAAS,iBAAiB;AAAG,YAAM,QAAQ,MAAM,IAAI;AACzG,QAAI,MAAM,QAAQ,KAAK,CAAC,SAAS,SAAS,gBAAgB,KAAK,CAAC,SAAS,SAAS,iBAAiB;AAAG,YAAM,MAAM,MAAM,IAAI;AAC5H,OAAG,cAAc,SAAS,GAAG,cAAc,UAAW,KAAK,IAAI,MAAM,MAAM,MAAM,KAAK,IAAI,QAAQ,YAAY,KAAK,IAAI,MAAM,MAAM,MAAM,KAAK,IAAI,QAAQ;AAC1J,QAAI,GAAG,cAAc,UAAU,MAAM,SAAS;AAAG,YAAM,OAAO,KAAK,MAAM,MAAM,MAAM,MAAM,KAAK;AAChG,OAAG,aAAa,SAAS,SAAS,SAAS,eAAe;AAC1D,OAAG,cAAc,SAAS,SAAS,SAAS,gBAAgB;AAC5D,OAAG,eAAe,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,aAAa,MAAM,OAAO,KAAK,CAAC,EAAE,YAAY;AAC3F,OAAG,eAAe,SAAS,GAAG,eAAe,OAAO,QAAQ;AAC5D,OAAG,eAAe,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,QAAQ;AACrD,OAAG,eAAe,SAAS,GAAG,eAAe,OAAO,QAAQ;AAC5D,OAAG,cAAc,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,QAAQ;AACpD,OAAG,cAAc,SAAS,GAAG,cAAc,OAAO,QAAQ;AAC1D,OAAG,SAAS,MAAM,KAAK,IAAI,MAAM,OAAO,KAAK,CAAC,EAAE,IAAI,CAAC,GAAG,MAAM,OAAO,KAAK,CAAC,EAAE,IAAI,CAAC,CAAC;AACnF,OAAG,SAAS,SAAS,GAAG,SAAS,OAAO,QAAQ;AAChD,OAAG,SAAS,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,YAAY;AACnD,OAAG,SAAS,SAAU,GAAG,SAAS,OAAO,QAAQ,eAAiB,GAAG,SAAS,OAAO,QAAQ;AAC7F,OAAG,WAAW,QAAM,WAAM,OAAO,KAAK,CAAC,EAAE,cAArB,mBAAgC,WAAU;AAC9D,OAAG,WAAW,SAAS,GAAG,WAAW,MAAM;AAC3C,OAAG,IAAI,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,OAAO;AACzC,OAAG,IAAI,SAAS,GAAG,IAAI,MAAM;AAC7B,OAAG,OAAO,MAAM,MAAM,OAAO,KAAK,CAAC,EAAE,eAAe;AACpD,OAAG,OAAO,SAAS,GAAG,OAAO,OAAO,QAAQ;AAAA,EAC9C;AAEA,KAAG,QAAQ,SAAS,GAAG,UAAU,OAAO,QAAQ;AAChD,sBAAoB;AACpB,MAAI,MAAM,KAAK,CAAC,GAAG,QAAQ,QAAQ;AACjC,QAAI,MAAM,MAAM;AAChB,WAAO,MAAM,OAAO,KAAK,CAAC;AAAA,EAC5B;AACA,KAAG,UAAU,MAAM,KAAK,MAAM,MAAM,IAAI,IAAI,SAAS;AACrD,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,eAAW,YAAY;AACrB,YAAM,eAAe;AACrB,cAAQ,MAAM,OAAO,KAAK,CAAC,CAAC;AAAA,IAC9B,GAAG,EAAE;AAAA,EACP,CAAC;AACH;AAEA,eAAe,cAAc;AA1N7B;AA2NE,MAAI,IAAI,KAAK,MAAM,SAAS,GAAG;AAC7B,UAAM,SAAQ,SAAI,OAAO,WAAW,IAAI,MAA1B,mBAA6B,aAAa,GAAG,GAAG,IAAI,OAAO,OAAO,IAAI,OAAO;AAC3F,UAAM,MAAM,EAAE,IAAI,GAAG,MAAM,IAAI,KAAK,OAAO,aAAY,aAAQ,SAAR,mBAAc,WAAuB,MAAM;AAClG,UAAc,KAAK,GAAG;AACtB,IAAAA,KAAI,sBAAsB,IAAI,MAAM,uBAAsB,mBAAQ,SAAR,mBAAc,cAAd,mBAAyB,MAAM;AACzF,IAAAA,KAAI,uBAAuB,MAAc,MAAM,CAAC;AAAA,EAClD,OAAO;AACL,IAAAA,KAAI,cAAc;AAAA,EACpB;AACF;AAEA,eAAe,eAAe;AAC5B,MAAI,QAAQ,UAAU,QAAQ,OAAO,KAAK,GAAG;AAC3C,UAAc,OAAO,QAAQ,MAAM;AAAA,EACrC;AACF;AAEA,eAAe,aAAa;AA5O5B;AA6OE,MAAI,OAAO,MAAM,SAAS;AAC1B,YAAI,OAAO,WAAW,IAAI,MAA1B,mBAA6B,UAAU,GAAG,GAAG,QAAQ,SAAS,QAAQ;AACtE,MAAI,GAAC,wCAAS,SAAT,mBAAe,WAAU,GAAC,wCAAS,SAAT,mBAAe;AAAW,WAAO;AAChE,UAAQ,IAAI,gBAAgB,QAAQ,IAAI;AACxC,EAAAA,KAAI,kBAAkB,QAAQ,KAAK,UAAU,QAAQ,KAAK,OAAO,eAAe,OAAO,QAAQ,KAAK,YAAY,QAAQ,KAAK,MAAM,OAAO,QAAQ,KAAK,YAAY,KAAK,IAAI,KAAK;AACjL,QAAM,MAAM,GAAG,QAAQ,SAAS,QAAQ,KAAK,QAAQ,IAAI,MAAM;AAC/D,MAAI,MAAc,MAAM,MAAM,GAAG;AAC/B,IAAAA,KAAI,sDAAsD;AAC1D,aAAS,KAAK,MAAM,aAAa;AACjC,QAAI,OAAO,MAAM,UAAU;AAC3B,WAAO;AAAA,EACT;AACA,QAAMC,MAAK,MAAc,KAAK;AAC9B,QAAM,cAAcA,IAAG,IAAI,CAAC,QAAQ,IAAI,UAAU,EAAE,OAAO,CAAC,SAAS,KAAK,SAAS,CAAC;AACpF,QAAM,MAAM,MAAM,MAAM,KAAK,QAAQ,KAAK,WAAW,aAAa,YAAY;AAC9E,UAAQ,SAASA,IAAG,IAAI,KAAK,KAAK;AAClC,MAAI,QAAQ,QAAQ;AAClB,IAAAD,KAAI,eAAe,QAAQ,OAAO,cAAc,QAAQ,OAAO,oBAAoB,KAAK,MAAM,MAAO,IAAI,UAAU,IAAI,KAAK;AAC5H,QAAI,KAAK,QAAQ,QAAQ,OAAO;AAChC,QAAI,OAAO,MAAM,UAAU;AAC3B,cAAI,OAAO,WAAW,IAAI,MAA1B,mBAA6B,aAAa,QAAQ,OAAO,OAAO,GAAG;AAAA,EACrE;AACA,WAAS,KAAK,MAAM,aAAa,IAAI,aAAa,QAAQ,YAAY,cAAc;AACpF,SAAO,IAAI,aAAa,QAAQ;AAClC;AAEA,eAAe,OAAO;AAvQtB;AAwQE,KAAG,UAAU,SAAS;AACtB,KAAG,eAAe,SAAS;AAC3B,KAAG,aAAa,SAAS;AACzB,KAAG,cAAc,SAAS;AAC1B,KAAG,SAAS,SAAS;AACrB,KAAG,eAAe,SAAS;AAC3B,KAAG,cAAc,SAAS;AAC1B,KAAG,IAAI,SAAS;AAChB,KAAG,OAAO,SAAS;AACnB,KAAG,UAAU,MAAM;AACnB,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,OAAO,MAAM,UAAU;AAC3B,MAAI,OAAO,MAAM,SAAS;AAC1B,WAAS,KAAK,MAAM,aAAa;AACjC,QAAM,OAAO;AACb,QAAM,cAAc;AACpB,cAAY,MAAM,IAAI;AACtB,UAAQ,OAAO,MAAM,eAAe;AACpC,MAAI,OAAO,UAAQ,mBAAQ,SAAR,mBAAc,WAAd,mBAAsB,MAAM,OAAM,QAAQ;AAC7D,MAAI,OAAO,WAAS,mBAAQ,SAAR,mBAAc,WAAd,mBAAsB,MAAM,OAAM,QAAQ;AAC9D,MAAI,OAAO,QAAQ,IAAI,OAAO;AAC9B,MAAI,OAAO,SAAS,IAAI,OAAO;AAC/B,MAAI,OAAO,MAAM,QAAQ;AACzB,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,KAAK,MAAM,UAAU;AACzB,MAAI,OAAO,MAAM,UAAU;AAC3B,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,CAAC,MAAM,GAAG;AACZ,IAAAA,KAAI,yBAAyB;AAC7B,WAAO;AAAA,EACT;AACA,SAAO,WAAW;AACpB;AAEA,eAAe,OAAO;AA3StB;AA4SE,EAAAA,KAAI,kBAAkB,MAAM,SAAS,mBAAmB,MAAM,GAAG,QAAQ,WAAW,CAAC;AACrF,EAAAA,KAAI,YAAY,KAAK,UAAU,OAAO,EAAE,QAAQ,gBAAgB,EAAE,EAAE,QAAQ,MAAM,GAAG,CAAC;AACtF,EAAAA,KAAI,wBAAwB;AAC5B,QAAM,OAAO;AACb,EAAAA,KAAI,yBAAyB;AAC7B,QAAM,MAAM,KAAK;AACjB,EAAAA,KAAI,uBAAuB;AAC3B,EAAAA,KAAI,yBAAyB,YAAY,KAAK,YAAY,UAAU,YAAY,MAAI,iBAAY,KAAK,eAAe,MAAhC,mBAAmC,WAAU,kBAAkB,MAAI,iBAAY,KAAK,aAAa,MAA9B,mBAAiC,WAAU,gBAAgB,EAAE;AACpN,EAAAA,KAAI,0BAA0B;AAC9B,EAAAA,KAAI,uBAAuB,MAAc,MAAM,CAAC;AAChD,MAAI,MAAM,iBAAiB,SAAS,IAAI;AACxC,MAAI,KAAK,iBAAiB,SAAS,WAAW;AAC9C,MAAI,OAAO,iBAAiB,SAAS,YAAY;AACjD,QAAM,MAAM,OAAO;AACnB,QAAM,KAAK;AACb;AAEA,OAAO,SAAS;", + "names": ["log", "db"] } diff --git a/demo/tracker/index.js b/demo/tracker/index.js index 00f362dc..b6701d42 100644 --- a/demo/tracker/index.js +++ b/demo/tracker/index.js @@ -4,7 +4,1364 @@ author: ' */ -import*as U from"../../dist/human.esm.js";var J=Object.defineProperty,z=Object.getOwnPropertyNames,w=(l,y)=>J(l,"name",{value:y,configurable:!0}),S=(l,y)=>function(){return y||(0,l[z(l)[0]])((y={exports:{}}).exports,y),y.exports},q=S({"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/rng-browser.js"(l,y){var f=typeof crypto!="undefined"&&crypto.getRandomValues.bind(crypto)||typeof msCrypto!="undefined"&&msCrypto.getRandomValues.bind(msCrypto);f?(c=new Uint8Array(16),y.exports=w(function(){return f(c),c},"whatwgRNG")):(s=new Array(16),y.exports=w(function(){for(var g=0,h;g<16;g++)g&3||(h=Math.random()*4294967296),s[g]=h>>>((g&3)<<3)&255;return s},"mathRNG"));var c,s}}),X=S({"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/bytesToUuid.js"(l,y){var f=[];for(s=0;s<256;++s)f[s]=(s+256).toString(16).substr(1);function c(i,g){var h=g||0,e=f;return e[i[h++]]+e[i[h++]]+e[i[h++]]+e[i[h++]]+"-"+e[i[h++]]+e[i[h++]]+"-"+e[i[h++]]+e[i[h++]]+"-"+e[i[h++]]+e[i[h++]]+"-"+e[i[h++]]+e[i[h++]]+e[i[h++]]+e[i[h++]]+e[i[h++]]+e[i[h++]]}w(c,"bytesToUuid"),y.exports=c;var s}}),j=S({"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/v4.js"(l,y){var f=q(),c=X();function s(i,g,h){var e=g&&h||0;typeof i=="string"&&(g=i==="binary"?new Array(16):null,i=null),i=i||{};var n=i.random||(i.rng||f)();if(n[6]=n[6]&15|64,n[8]=n[8]&63|128,g)for(var t=0;t<16;++t)g[e+t]=n[t];return g||c(n)}w(s,"v4"),y.exports=s}}),C=S({"utils.js"(l){l.isDetectionTooLarge=(c,s)=>c.w>=s;var y=w((c,s)=>{let i=c.x-c.w/2,g=c.x+c.w/2,h=c.y-c.h/2,e=c.y+c.h/2;return s.x>=i&&s.x<=g&&s.y>=h&&s.y<=e},"isInsideArea");l.isInsideArea=y,l.isInsideSomeAreas=(c,s)=>c.some(g=>y(g,s)),l.ignoreObjectsNotToDetect=(c,s)=>c.filter(i=>s.indexOf(i.name)>-1);var f=w(c=>({x0:c.x-c.w/2,y0:c.y-c.h/2,x1:c.x+c.w/2,y1:c.y+c.h/2}),"getRectangleEdges");l.getRectangleEdges=f,l.iouAreas=(c,s)=>{var i=f(c),g=f(s),h=Math.max(i.x0,g.x0),e=Math.max(i.y0,g.y0),n=Math.min(i.x1,g.x1),t=Math.min(i.y1,g.y1);if(n-h<=0||t-e<=0)return 0;{let r=c.w*c.h,a=s.w*s.h,o=(n-h)*(t-e),m=r+a-o;return o/m}},l.computeVelocityVector=(c,s,i)=>({dx:(s.x-c.x)/i,dy:(s.y-c.y)/i}),l.computeBearingIn360=function(c,s){var i=Math.atan(c/s)/(Math.PI/180);return i>0?s>0?i:180+i:c>0?180+i:360+i}}}),Y=S({"ItemTracked.js"(l){var y=j(),f=C().computeBearingIn360,c=C().computeVelocityVector;l.ITEM_HISTORY_MAX_LENGTH=15;var s=0;l.ItemTracked=function(i,g,h,e){var n=h,t={};return t.available=!0,t.delete=!1,t.fastDelete=e,t.frameUnmatchedLeftBeforeDying=h,t.isZombie=!1,t.appearFrame=g,t.disappearFrame=null,t.disappearArea={},t.nameCount={},t.nameCount[i.name]=1,t.x=i.x,t.y=i.y,t.w=i.w,t.h=i.h,t.name=i.name,t.confidence=i.confidence,t.itemHistory=[],t.itemHistory.push({x:i.x,y:i.y,w:i.w,h:i.h,confidence:i.confidence}),t.itemHistory.length>=l.ITEM_HISTORY_MAX_LENGTH&&t.itemHistory.shift(),t.velocity={dx:0,dy:0},t.nbTimeMatched=1,t.id=y(),t.idDisplay=s,s++,t.update=function(r,a){this.disappearFrame&&(this.disappearFrame=null,this.disappearArea={}),this.isZombie=!1,this.nbTimeMatched+=1,this.x=r.x,this.y=r.y,this.w=r.w,this.h=r.h,this.confidence=r.confidence,this.itemHistory.push({x:this.x,y:this.y,w:this.w,h:this.h,confidence:this.confidence}),t.itemHistory.length>=l.ITEM_HISTORY_MAX_LENGTH&&t.itemHistory.shift(),this.name=r.name,this.nameCount[r.name]?this.nameCount[r.name]++:this.nameCount[r.name]=1,this.frameUnmatchedLeftBeforeDying=n,this.velocity=this.updateVelocityVector()},t.makeAvailable=function(){return this.available=!0,this},t.makeUnavailable=function(){return this.available=!1,this},t.countDown=function(r){this.disappearFrame===null&&(this.disappearFrame=r,this.disappearArea={x:this.x,y:this.y,w:this.w,h:this.h}),this.frameUnmatchedLeftBeforeDying--,this.isZombie=!0,this.fastDelete&&this.nbTimeMatched<=1&&(this.frameUnmatchedLeftBeforeDying=-1)},t.updateTheoricalPositionAndSize=function(){this.itemHistory.push({x:this.x,y:this.y,w:this.w,h:this.h,confidence:this.confidence}),t.itemHistory.length>=l.ITEM_HISTORY_MAX_LENGTH&&t.itemHistory.shift(),this.x=this.x+this.velocity.dx,this.y=this.y+this.velocity.dy},t.predictNextPosition=function(){return{x:this.x+this.velocity.dx,y:this.y+this.velocity.dy,w:this.w,h:this.h}},t.isDead=function(){return this.frameUnmatchedLeftBeforeDying<0},t.updateVelocityVector=function(){if(l.ITEM_HISTORY_MAX_LENGTH<=2)return{dx:void 0,dy:void 0};if(this.itemHistory.length<=l.ITEM_HISTORY_MAX_LENGTH){let r=this.itemHistory[0],a=this.itemHistory[this.itemHistory.length-1];return c(r,a,this.itemHistory.length)}else{let r=this.itemHistory[this.itemHistory.length-l.ITEM_HISTORY_MAX_LENGTH],a=this.itemHistory[this.itemHistory.length-1];return c(r,a,l.ITEM_HISTORY_MAX_LENGTH)}},t.getMostlyMatchedName=function(){var r=0,a="";return Object.keys(this.nameCount).map(o=>{this.nameCount[o]>r&&(a=o,r=this.nameCount[o])}),a},t.toJSONDebug=function(r=!0){return{id:this.id,idDisplay:this.idDisplay,x:r?parseInt(this.x,10):this.x,y:r?parseInt(this.y,10):this.y,w:r?parseInt(this.w,10):this.w,h:r?parseInt(this.h,10):this.h,confidence:Math.round(this.confidence*100)/100,bearing:parseInt(f(this.velocity.dx,-this.velocity.dy)),name:this.getMostlyMatchedName(),isZombie:this.isZombie,appearFrame:this.appearFrame,disappearFrame:this.disappearFrame}},t.toJSON=function(r=!0){return{id:this.idDisplay,x:r?parseInt(this.x,10):this.x,y:r?parseInt(this.y,10):this.y,w:r?parseInt(this.w,10):this.w,h:r?parseInt(this.h,10):this.h,confidence:Math.round(this.confidence*100)/100,bearing:parseInt(f(this.velocity.dx,-this.velocity.dy),10),name:this.getMostlyMatchedName(),isZombie:this.isZombie}},t.toMOT=function(r){return`${r},${this.idDisplay},${this.x-this.w/2},${this.y-this.h/2},${this.w},${this.h},${this.confidence/100},-1,-1,-1`},t.toJSONGenericInfo=function(){return{id:this.id,idDisplay:this.idDisplay,appearFrame:this.appearFrame,disappearFrame:this.disappearFrame,disappearArea:this.disappearArea,nbActiveFrame:this.disappearFrame-this.appearFrame,name:this.getMostlyMatchedName()}},t},l.reset=function(){s=0}}}),W=S({"lib/kdTree-min.js"(l){(function(y,f){typeof define=="function"&&define.amd?define(["exports"],f):f(typeof l=="object"?l:y)})(l,function(y){function f(i,g,h){this.obj=i,this.left=null,this.right=null,this.parent=h,this.dimension=g}w(f,"Node");function c(i,g,h){var e=this;function n(r,a,o){var m=a%h.length,u,d;return r.length===0?null:r.length===1?new f(r[0],m,o):(r.sort(function(I,p){return I[h[m]]-p[h[m]]}),u=Math.floor(r.length/2),d=new f(r[u],m,o),d.left=n(r.slice(0,u),a+1,d),d.right=n(r.slice(u+1),a+1,d),d)}w(n,"buildTree");function t(r){e.root=r;function a(o){o.left&&(o.left.parent=o,a(o.left)),o.right&&(o.right.parent=o,a(o.right))}w(a,"restoreParent"),a(e.root)}w(t,"loadTree"),Array.isArray(i)?this.root=n(i,0,null):t(i,g,h),this.toJSON=function(r){r||(r=this.root);var a=new f(r.obj,r.dimension,null);return r.left&&(a.left=e.toJSON(r.left)),r.right&&(a.right=e.toJSON(r.right)),a},this.insert=function(r){function a(d,I){if(d===null)return I;var p=h[d.dimension];return r[p]a&&d.pop()}for(w(L,"saveNode"),E=0;E0&&(this.content[0]=g,this.sinkDown(0)),i},peek:function(){return this.content[0]},remove:function(i){for(var g=this.content.length,h=0;h0;){var h=Math.floor((i+1)/2)-1,e=this.content[h];if(this.scoreFunction(g)t&&(t=e[a].length);r=t>r?t:r;var o=[];for(a=0;au.length;)u.push(n);o.push(u)}return o},s.prototype.compute=function(e,n){n=n||{},n.padValue=n.padValue||c,this.C=this.pad_matrix(e,n.padValue),this.n=this.C.length,this.original_length=e.length,this.original_width=e[0].length;for(var t=[];t.length=this.n?7:4},s.prototype.__step4=function(){for(var e=!1,n=-1,t=-1,r=-1;!e;){var a=this.__find_a_zero();if(n=a[0],t=a[1],n<0)return 6;if(this.marked[n][t]=2,r=this.__find_star_in_row(n),r>=0)t=r,this.row_covered[n]=!0,this.col_covered[t]=!1;else return this.Z0_r=n,this.Z0_c=t,5}},s.prototype.__step5=function(){var e=0;this.path[e][0]=this.Z0_r,this.path[e][1]=this.Z0_c;for(var n=!1;!n;){var t=this.__find_star_in_col(this.path[e][1]);if(t>=0?(e++,this.path[e][0]=t,this.path[e][1]=this.path[e-1][1]):n=!0,!n){var r=this.__find_prime_in_row(this.path[e][0]);e++,this.path[e][0]=this.path[e-1][0],this.path[e][1]=r}}return this.__convert_path(this.path,e),this.__clear_covers(),this.__erase_primes(),3},s.prototype.__step6=function(){for(var e=this.__find_smallest(),n=0;nthis.C[n][t]&&(e=this.C[n][t]);return e},s.prototype.__find_a_zero=function(){for(var e=0;ea&&(a=e[t][r]);n=w(function(u){return a-u},"inversion_function")}var o=[];for(t=0;t=n[r])&&(n[r]=a)}var o="";for(t=0;t1-e.iouLimit&&(u=e.distanceLimit+1),u},"iouDistance"),e={unMatchedFramesTolerance:5,iouLimit:.05,fastDelete:!0,distanceFunc:h,distanceLimit:1e4,matchingAlgorithm:"kdTree"},n=new Map,t=new Map,r=!1;l.computeDistance=h,l.updateTrackedItemsWithNewFrame=function(a,o){var m=new c(Array.from(n.values()),e.distanceFunc,["x","y","w","h"]),u=new c(a,e.distanceFunc,["x","y","w","h"]);if(n.size===0)a.forEach(function(v){var b=new f(v,o,e.unMatchedFramesTolerance,e.fastDelete);n.set(b.id,b),m.insert(b)});else{var d=new Array(a.length);if(d.fill(!1),a.length>0)if(e.matchingAlgorithm==="munkres"){var I=Array.from(n.keys()),p=Array.from(n.values()).map(v=>{var b=v.predictNextPosition();return a.map(k=>e.distanceFunc(b,k))});n.forEach(function(v){v.makeAvailable()}),i(p).filter(v=>p[v[0]][v[1]]<=e.distanceLimit).forEach(v=>{var b=n.get(I[v[0]]),k=a[v[1]];d[v[1]]={idDisplay:b.idDisplay},b.makeUnavailable().update(k,o)}),d.forEach(function(v,b){if(!v&&Math.min(...p.map(T=>T[b]))>e.distanceLimit){var k=f(a[b],o,e.unMatchedFramesTolerance,e.fastDelete);n.set(k.id,k),k.makeUnavailable(),p.push(a.map(T=>e.distanceFunc(k,T)))}})}else if(e.matchingAlgorithm==="kdTree")n.forEach(function(v){var b=v.predictNextPosition();v.makeAvailable();var k=u.nearest(b,1,e.distanceLimit)[0],T=u.nearest(v,1,e.distanceLimit)[0],O=u.nearest(b,2,e.distanceLimit);if(k){var x=a.indexOf(k[0]);if(!d[x]){d[x]={idDisplay:v.idDisplay};var E=a[x];n.get(v.id).makeUnavailable().update(E,o)}}});else throw`Unknown matching algorithm "${e.matchingAlgorithm}"`;else g&&console.log("[Tracker] Nothing detected for frame n\xBA"+o),n.forEach(function(v){v.makeAvailable()});e.matchingAlgorithm==="kdTree"&&n.size>0&&(m=new c(Array.from(n.values()),e.distanceFunc,["x","y","w","h"]),d.forEach(function(v,b){if(!v){var k=m.nearest(a[b],1,e.distanceLimit)[0];if(!k){var T=f(a[b],o,e.unMatchedFramesTolerance,e.fastDelete);n.set(T.id,T),m.insert(T),T.makeUnavailable()}}})),n.forEach(function(v){v.available&&(v.countDown(o),v.updateTheoricalPositionAndSize(),v.isDead()&&(n.delete(v.id),m.remove(v),r&&t.set(v.id,v)))})}},l.reset=function(){n=new Map,t=new Map,y.reset()},l.setParams=function(a){Object.keys(a).forEach(o=>{e[o]=a[o]})},l.enableKeepInMemory=function(){r=!0},l.disableKeepInMemory=function(){r=!1},l.getJSONOfTrackedItems=function(a=!0){return Array.from(n.values()).map(function(o){return o.toJSON(a)})},l.getJSONDebugOfTrackedItems=function(a=!0){return Array.from(n.values()).map(function(o){return o.toJSONDebug(a)})},l.getTrackedItemsInMOTFormat=function(a){return Array.from(n.values()).map(function(o){return o.toMOT(a)})},l.getAllTrackedItems=function(){return t},l.getJSONOfAllTrackedItems=function(){return Array.from(t.values()).map(function(a){return a.toJSONGenericInfo()})}}}),D=Q();var R={debug:!0,backend:"webgl",modelBasePath:"https://vladmandic.github.io/human-models/models",filter:{enabled:!0,equalization:!1,flip:!1},face:{enabled:!0,detector:{rotation:!1,maxDetected:10,minConfidence:.3},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!1},description:{enabled:!1},emotion:{enabled:!1},antispoof:{enabled:!1},liveness:{enabled:!1}},body:{enabled:!1,maxDetected:6,modelPath:"movenet-multipose.json"},hand:{enabled:!1},object:{enabled:!1,maxDetected:10},segmentation:{enabled:!1},gesture:{enabled:!1}},F={unMatchedFramesTolerance:100,iouLimit:.05,fastDelete:!1,distanceLimit:1e4,matchingAlgorithm:"kdTree"},M=new U.Human(R),_={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),tracker:document.getElementById("tracker"),interpolation:document.getElementById("interpolation"),config:document.getElementById("config"),ctx:document.getElementById("canvas").getContext("2d")},A={detect:0,draw:0,tensors:0,start:0},N={detectFPS:0,drawFPS:0,frames:0,averageMs:0},H=(...l)=>{_.log.innerText+=l.join(" ")+` -`,console.log(...l)},B=l=>_.fps.innerText=l;async function V(){if(!_.video.paused&&_.video.readyState>=2){A.start===0&&(A.start=M.now()),await M.detect(_.video,R);let l=M.tf.memory().numTensors;l-A.tensors!==0&&H("allocated tensors:",l-A.tensors),A.tensors=l,N.detectFPS=Math.round(1e3*1e3/(M.now()-A.detect))/1e3,N.frames++,N.averageMs=Math.round(1e3*(M.now()-A.start)/N.frames)/1e3}A.detect=M.now(),requestAnimationFrame(V)}function Z(){if(!_.video.paused&&_.video.readyState>=2){let y=_.interpolation.checked?M.next(M.result):M.result,f=[];M.config.face.enabled?f=y.face:M.config.body.enabled?f=y.body:M.config.object.enabled?f=y.object:H("unknown object type");let c=[];if(_.tracker.checked){let s=f.map(i=>({x:i.box[0]+i.box[2]/2,y:i.box[1]+i.box[3]/2,w:i.box[2],h:i.box[3],name:i.label||(M.config.face.enabled?"face":"body"),confidence:i.score}));D.updateTrackedItemsWithNewFrame(s,N.frames),c=D.getJSONOfTrackedItems(!0)}M.draw.canvas(_.video,_.canvas);for(let s=0;sl.preventDefault()),document.body.addEventListener("dragleave",l=>l.preventDefault()),document.body.addEventListener("dragover",l=>l.preventDefault()),document.body.addEventListener("drop",async l=>{var f,c;l.preventDefault(),l.dataTransfer&&(l.dataTransfer.dropEffect="copy");let y=(c=(f=l.dataTransfer)==null?void 0:f.files)==null?void 0:c[0];y&&await P(y),H(_.video.readyState)}),document.getElementById("inputvideo").onchange=async l=>{var f,c;l.preventDefault();let y=(c=(f=l.target)==null?void 0:f.files)==null?void 0:c[0];y&&await P(y)},_.config.onchange=()=>{F.distanceLimit=document.getElementById("distanceLimit").valueAsNumber,F.iouLimit=document.getElementById("iouLimit").valueAsNumber,F.unMatchedFramesTolerance=document.getElementById("unMatchedFramesTolerance").valueAsNumber,F.unMatchedFramesTolerance=document.getElementById("unMatchedFramesTolerance").valueAsNumber,F.matchingAlgorithm=document.getElementById("matchingAlgorithm-kdTree").checked?"kdTree":"munkres",D.setParams(F),document.getElementById("keepInMemory").checked?D.enableKeepInMemory():D.disableKeepInMemory(),D.reset(),H("tracker config change",JSON.stringify(F)),R.face.enabled=document.getElementById("box-face").checked,R.body.enabled=document.getElementById("box-body").checked,R.object.enabled=document.getElementById("box-object").checked},_.tracker.onchange=l=>{H("tracker",l.target.checked?"enabled":"disabled"),D.setParams(F),D.reset()}}async function te(){H("human version:",M.version,"| tfjs version:",M.tf.version["tfjs-core"]),H("platform:",M.env.platform,"| agent:",M.env.agent),B("loading..."),await M.load(),H("backend:",M.tf.getBackend(),"| available:",M.env.backends),H("models loaded:",M.models.loaded()),B("initializing..."),await M.warmup(),ee(),await V(),Z()}window.onload=te; + +// demo/tracker/index.ts +import * as H from "../../dist/human.esm.js"; + +// demo/tracker/tracker.js +var __defProp = Object.defineProperty; +var __getOwnPropNames = Object.getOwnPropertyNames; +var __name = (target, value) => __defProp(target, "name", { value, configurable: true }); +var __commonJS = (cb, mod) => function __require() { + return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; +}; +var require_rng_browser = __commonJS({ + "node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/rng-browser.js"(exports, module) { + var getRandomValues = typeof crypto != "undefined" && crypto.getRandomValues.bind(crypto) || typeof msCrypto != "undefined" && msCrypto.getRandomValues.bind(msCrypto); + if (getRandomValues) { + rnds8 = new Uint8Array(16); + module.exports = __name(function whatwgRNG() { + getRandomValues(rnds8); + return rnds8; + }, "whatwgRNG"); + } else { + rnds = new Array(16); + module.exports = __name(function mathRNG() { + for (var i = 0, r; i < 16; i++) { + if ((i & 3) === 0) + r = Math.random() * 4294967296; + rnds[i] = r >>> ((i & 3) << 3) & 255; + } + return rnds; + }, "mathRNG"); + } + var rnds8; + var rnds; + } +}); +var require_bytesToUuid = __commonJS({ + "node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/bytesToUuid.js"(exports, module) { + var byteToHex = []; + for (i = 0; i < 256; ++i) { + byteToHex[i] = (i + 256).toString(16).substr(1); + } + function bytesToUuid(buf, offset) { + var i2 = offset || 0; + var bth = byteToHex; + return bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + "-" + bth[buf[i2++]] + bth[buf[i2++]] + "-" + bth[buf[i2++]] + bth[buf[i2++]] + "-" + bth[buf[i2++]] + bth[buf[i2++]] + "-" + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]]; + } + __name(bytesToUuid, "bytesToUuid"); + module.exports = bytesToUuid; + var i; + } +}); +var require_v4 = __commonJS({ + "node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/v4.js"(exports, module) { + var rng = require_rng_browser(); + var bytesToUuid = require_bytesToUuid(); + function v4(options, buf, offset) { + var i = buf && offset || 0; + if (typeof options == "string") { + buf = options === "binary" ? new Array(16) : null; + options = null; + } + options = options || {}; + var rnds = options.random || (options.rng || rng)(); + rnds[6] = rnds[6] & 15 | 64; + rnds[8] = rnds[8] & 63 | 128; + if (buf) { + for (var ii = 0; ii < 16; ++ii) { + buf[i + ii] = rnds[ii]; + } + } + return buf || bytesToUuid(rnds); + } + __name(v4, "v4"); + module.exports = v4; + } +}); +var require_utils = __commonJS({ + "utils.js"(exports) { + exports.isDetectionTooLarge = (detections, largestAllowed) => { + if (detections.w >= largestAllowed) { + return true; + } else { + return false; + } + }; + var isInsideArea = __name((area, point) => { + const xMin = area.x - area.w / 2; + const xMax = area.x + area.w / 2; + const yMin = area.y - area.h / 2; + const yMax = area.y + area.h / 2; + if (point.x >= xMin && point.x <= xMax && point.y >= yMin && point.y <= yMax) { + return true; + } else { + return false; + } + }, "isInsideArea"); + exports.isInsideArea = isInsideArea; + exports.isInsideSomeAreas = (areas, point) => { + const isInside = areas.some((area) => isInsideArea(area, point)); + return isInside; + }; + exports.ignoreObjectsNotToDetect = (detections, objectsToDetect) => { + return detections.filter((detection) => objectsToDetect.indexOf(detection.name) > -1); + }; + var getRectangleEdges = __name((item) => { + return { + x0: item.x - item.w / 2, + y0: item.y - item.h / 2, + x1: item.x + item.w / 2, + y1: item.y + item.h / 2 + }; + }, "getRectangleEdges"); + exports.getRectangleEdges = getRectangleEdges; + exports.iouAreas = (item1, item2) => { + var rect1 = getRectangleEdges(item1); + var rect2 = getRectangleEdges(item2); + var overlap_x0 = Math.max(rect1.x0, rect2.x0); + var overlap_y0 = Math.max(rect1.y0, rect2.y0); + var overlap_x1 = Math.min(rect1.x1, rect2.x1); + var overlap_y1 = Math.min(rect1.y1, rect2.y1); + if (overlap_x1 - overlap_x0 <= 0 || overlap_y1 - overlap_y0 <= 0) { + return 0; + } else { + const area_rect1 = item1.w * item1.h; + const area_rect2 = item2.w * item2.h; + const area_intersection = (overlap_x1 - overlap_x0) * (overlap_y1 - overlap_y0); + const area_union = area_rect1 + area_rect2 - area_intersection; + return area_intersection / area_union; + } + }; + exports.computeVelocityVector = (item1, item2, nbFrame) => { + return { + dx: (item2.x - item1.x) / nbFrame, + dy: (item2.y - item1.y) / nbFrame + }; + }; + exports.computeBearingIn360 = function(dx, dy) { + var angle = Math.atan(dx / dy) / (Math.PI / 180); + if (angle > 0) { + if (dy > 0) + return angle; + else + return 180 + angle; + } else { + if (dx > 0) + return 180 + angle; + else + return 360 + angle; + } + }; + } +}); +var require_ItemTracked = __commonJS({ + "ItemTracked.js"(exports) { + var uuidv4 = require_v4(); + var computeBearingIn360 = require_utils().computeBearingIn360; + var computeVelocityVector = require_utils().computeVelocityVector; + exports.ITEM_HISTORY_MAX_LENGTH = 15; + var idDisplay = 0; + exports.ItemTracked = function(properties, frameNb, unMatchedFramesTolerance, fastDelete) { + var DEFAULT_UNMATCHEDFRAMES_TOLERANCE = unMatchedFramesTolerance; + var itemTracked = {}; + itemTracked.available = true; + itemTracked.delete = false; + itemTracked.fastDelete = fastDelete; + itemTracked.frameUnmatchedLeftBeforeDying = unMatchedFramesTolerance; + itemTracked.isZombie = false; + itemTracked.appearFrame = frameNb; + itemTracked.disappearFrame = null; + itemTracked.disappearArea = {}; + itemTracked.nameCount = {}; + itemTracked.nameCount[properties.name] = 1; + itemTracked.x = properties.x; + itemTracked.y = properties.y; + itemTracked.w = properties.w; + itemTracked.h = properties.h; + itemTracked.name = properties.name; + itemTracked.confidence = properties.confidence; + itemTracked.itemHistory = []; + itemTracked.itemHistory.push({ + x: properties.x, + y: properties.y, + w: properties.w, + h: properties.h, + confidence: properties.confidence + }); + if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) { + itemTracked.itemHistory.shift(); + } + itemTracked.velocity = { + dx: 0, + dy: 0 + }; + itemTracked.nbTimeMatched = 1; + itemTracked.id = uuidv4(); + itemTracked.idDisplay = idDisplay; + idDisplay++; + itemTracked.update = function(properties2, frameNb2) { + if (this.disappearFrame) { + this.disappearFrame = null; + this.disappearArea = {}; + } + this.isZombie = false; + this.nbTimeMatched += 1; + this.x = properties2.x; + this.y = properties2.y; + this.w = properties2.w; + this.h = properties2.h; + this.confidence = properties2.confidence; + this.itemHistory.push({ + x: this.x, + y: this.y, + w: this.w, + h: this.h, + confidence: this.confidence + }); + if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) { + itemTracked.itemHistory.shift(); + } + this.name = properties2.name; + if (this.nameCount[properties2.name]) { + this.nameCount[properties2.name]++; + } else { + this.nameCount[properties2.name] = 1; + } + this.frameUnmatchedLeftBeforeDying = DEFAULT_UNMATCHEDFRAMES_TOLERANCE; + this.velocity = this.updateVelocityVector(); + }; + itemTracked.makeAvailable = function() { + this.available = true; + return this; + }; + itemTracked.makeUnavailable = function() { + this.available = false; + return this; + }; + itemTracked.countDown = function(frameNb2) { + if (this.disappearFrame === null) { + this.disappearFrame = frameNb2; + this.disappearArea = { + x: this.x, + y: this.y, + w: this.w, + h: this.h + }; + } + this.frameUnmatchedLeftBeforeDying--; + this.isZombie = true; + if (this.fastDelete && this.nbTimeMatched <= 1) { + this.frameUnmatchedLeftBeforeDying = -1; + } + }; + itemTracked.updateTheoricalPositionAndSize = function() { + this.itemHistory.push({ + x: this.x, + y: this.y, + w: this.w, + h: this.h, + confidence: this.confidence + }); + if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) { + itemTracked.itemHistory.shift(); + } + this.x = this.x + this.velocity.dx; + this.y = this.y + this.velocity.dy; + }; + itemTracked.predictNextPosition = function() { + return { + x: this.x + this.velocity.dx, + y: this.y + this.velocity.dy, + w: this.w, + h: this.h + }; + }; + itemTracked.isDead = function() { + return this.frameUnmatchedLeftBeforeDying < 0; + }; + itemTracked.updateVelocityVector = function() { + if (exports.ITEM_HISTORY_MAX_LENGTH <= 2) { + return { dx: void 0, dy: void 0 }; + } + if (this.itemHistory.length <= exports.ITEM_HISTORY_MAX_LENGTH) { + const start = this.itemHistory[0]; + const end = this.itemHistory[this.itemHistory.length - 1]; + return computeVelocityVector(start, end, this.itemHistory.length); + } else { + const start = this.itemHistory[this.itemHistory.length - exports.ITEM_HISTORY_MAX_LENGTH]; + const end = this.itemHistory[this.itemHistory.length - 1]; + return computeVelocityVector(start, end, exports.ITEM_HISTORY_MAX_LENGTH); + } + }; + itemTracked.getMostlyMatchedName = function() { + var nameMostlyMatchedOccurences = 0; + var nameMostlyMatched = ""; + Object.keys(this.nameCount).map((name) => { + if (this.nameCount[name] > nameMostlyMatchedOccurences) { + nameMostlyMatched = name; + nameMostlyMatchedOccurences = this.nameCount[name]; + } + }); + return nameMostlyMatched; + }; + itemTracked.toJSONDebug = function(roundInt = true) { + return { + id: this.id, + idDisplay: this.idDisplay, + x: roundInt ? parseInt(this.x, 10) : this.x, + y: roundInt ? parseInt(this.y, 10) : this.y, + w: roundInt ? parseInt(this.w, 10) : this.w, + h: roundInt ? parseInt(this.h, 10) : this.h, + confidence: Math.round(this.confidence * 100) / 100, + // Here we negate dy to be in "normal" carthesian coordinates + bearing: parseInt(computeBearingIn360(this.velocity.dx, -this.velocity.dy)), + name: this.getMostlyMatchedName(), + isZombie: this.isZombie, + appearFrame: this.appearFrame, + disappearFrame: this.disappearFrame + }; + }; + itemTracked.toJSON = function(roundInt = true) { + return { + id: this.idDisplay, + x: roundInt ? parseInt(this.x, 10) : this.x, + y: roundInt ? parseInt(this.y, 10) : this.y, + w: roundInt ? parseInt(this.w, 10) : this.w, + h: roundInt ? parseInt(this.h, 10) : this.h, + confidence: Math.round(this.confidence * 100) / 100, + // Here we negate dy to be in "normal" carthesian coordinates + bearing: parseInt(computeBearingIn360(this.velocity.dx, -this.velocity.dy), 10), + name: this.getMostlyMatchedName(), + isZombie: this.isZombie + }; + }; + itemTracked.toMOT = function(frameIndex) { + return `${frameIndex},${this.idDisplay},${this.x - this.w / 2},${this.y - this.h / 2},${this.w},${this.h},${this.confidence / 100},-1,-1,-1`; + }; + itemTracked.toJSONGenericInfo = function() { + return { + id: this.id, + idDisplay: this.idDisplay, + appearFrame: this.appearFrame, + disappearFrame: this.disappearFrame, + disappearArea: this.disappearArea, + nbActiveFrame: this.disappearFrame - this.appearFrame, + name: this.getMostlyMatchedName() + }; + }; + return itemTracked; + }; + exports.reset = function() { + idDisplay = 0; + }; + } +}); +var require_kdTree_min = __commonJS({ + "lib/kdTree-min.js"(exports) { + (function(root, factory) { + if (typeof define === "function" && define.amd) { + define(["exports"], factory); + } else if (typeof exports === "object") { + factory(exports); + } else { + factory(root); + } + })(exports, function(exports2) { + function Node(obj, dimension, parent) { + this.obj = obj; + this.left = null; + this.right = null; + this.parent = parent; + this.dimension = dimension; + } + __name(Node, "Node"); + function kdTree(points, metric, dimensions) { + var self = this; + function buildTree(points2, depth, parent) { + var dim = depth % dimensions.length, median, node; + if (points2.length === 0) { + return null; + } + if (points2.length === 1) { + return new Node(points2[0], dim, parent); + } + points2.sort(function(a, b) { + return a[dimensions[dim]] - b[dimensions[dim]]; + }); + median = Math.floor(points2.length / 2); + node = new Node(points2[median], dim, parent); + node.left = buildTree(points2.slice(0, median), depth + 1, node); + node.right = buildTree(points2.slice(median + 1), depth + 1, node); + return node; + } + __name(buildTree, "buildTree"); + function loadTree(data) { + self.root = data; + function restoreParent(root) { + if (root.left) { + root.left.parent = root; + restoreParent(root.left); + } + if (root.right) { + root.right.parent = root; + restoreParent(root.right); + } + } + __name(restoreParent, "restoreParent"); + restoreParent(self.root); + } + __name(loadTree, "loadTree"); + if (!Array.isArray(points)) + loadTree(points, metric, dimensions); + else + this.root = buildTree(points, 0, null); + this.toJSON = function(src) { + if (!src) + src = this.root; + var dest = new Node(src.obj, src.dimension, null); + if (src.left) + dest.left = self.toJSON(src.left); + if (src.right) + dest.right = self.toJSON(src.right); + return dest; + }; + this.insert = function(point) { + function innerSearch(node, parent) { + if (node === null) { + return parent; + } + var dimension2 = dimensions[node.dimension]; + if (point[dimension2] < node.obj[dimension2]) { + return innerSearch(node.left, node); + } else { + return innerSearch(node.right, node); + } + } + __name(innerSearch, "innerSearch"); + var insertPosition = innerSearch(this.root, null), newNode, dimension; + if (insertPosition === null) { + this.root = new Node(point, 0, null); + return; + } + newNode = new Node(point, (insertPosition.dimension + 1) % dimensions.length, insertPosition); + dimension = dimensions[insertPosition.dimension]; + if (point[dimension] < insertPosition.obj[dimension]) { + insertPosition.left = newNode; + } else { + insertPosition.right = newNode; + } + }; + this.remove = function(point) { + var node; + function nodeSearch(node2) { + if (node2 === null) { + return null; + } + if (node2.obj === point) { + return node2; + } + var dimension = dimensions[node2.dimension]; + if (point[dimension] < node2.obj[dimension]) { + return nodeSearch(node2.left, node2); + } else { + return nodeSearch(node2.right, node2); + } + } + __name(nodeSearch, "nodeSearch"); + function removeNode(node2) { + var nextNode, nextObj, pDimension; + function findMin(node3, dim) { + var dimension, own, left, right, min; + if (node3 === null) { + return null; + } + dimension = dimensions[dim]; + if (node3.dimension === dim) { + if (node3.left !== null) { + return findMin(node3.left, dim); + } + return node3; + } + own = node3.obj[dimension]; + left = findMin(node3.left, dim); + right = findMin(node3.right, dim); + min = node3; + if (left !== null && left.obj[dimension] < own) { + min = left; + } + if (right !== null && right.obj[dimension] < min.obj[dimension]) { + min = right; + } + return min; + } + __name(findMin, "findMin"); + if (node2.left === null && node2.right === null) { + if (node2.parent === null) { + self.root = null; + return; + } + pDimension = dimensions[node2.parent.dimension]; + if (node2.obj[pDimension] < node2.parent.obj[pDimension]) { + node2.parent.left = null; + } else { + node2.parent.right = null; + } + return; + } + if (node2.right !== null) { + nextNode = findMin(node2.right, node2.dimension); + nextObj = nextNode.obj; + removeNode(nextNode); + node2.obj = nextObj; + } else { + nextNode = findMin(node2.left, node2.dimension); + nextObj = nextNode.obj; + removeNode(nextNode); + node2.right = node2.left; + node2.left = null; + node2.obj = nextObj; + } + } + __name(removeNode, "removeNode"); + node = nodeSearch(self.root); + if (node === null) { + return; + } + removeNode(node); + }; + this.nearest = function(point, maxNodes, maxDistance) { + var i, result, bestNodes; + bestNodes = new BinaryHeap( + function(e) { + return -e[1]; + } + ); + function nearestSearch(node) { + var bestChild, dimension = dimensions[node.dimension], ownDistance = metric(point, node.obj), linearPoint = {}, linearDistance, otherChild, i2; + function saveNode(node2, distance) { + bestNodes.push([node2, distance]); + if (bestNodes.size() > maxNodes) { + bestNodes.pop(); + } + } + __name(saveNode, "saveNode"); + for (i2 = 0; i2 < dimensions.length; i2 += 1) { + if (i2 === node.dimension) { + linearPoint[dimensions[i2]] = point[dimensions[i2]]; + } else { + linearPoint[dimensions[i2]] = node.obj[dimensions[i2]]; + } + } + linearDistance = metric(linearPoint, node.obj); + if (node.right === null && node.left === null) { + if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) { + saveNode(node, ownDistance); + } + return; + } + if (node.right === null) { + bestChild = node.left; + } else if (node.left === null) { + bestChild = node.right; + } else { + if (point[dimension] < node.obj[dimension]) { + bestChild = node.left; + } else { + bestChild = node.right; + } + } + nearestSearch(bestChild); + if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) { + saveNode(node, ownDistance); + } + if (bestNodes.size() < maxNodes || Math.abs(linearDistance) < bestNodes.peek()[1]) { + if (bestChild === node.left) { + otherChild = node.right; + } else { + otherChild = node.left; + } + if (otherChild !== null) { + nearestSearch(otherChild); + } + } + } + __name(nearestSearch, "nearestSearch"); + if (maxDistance) { + for (i = 0; i < maxNodes; i += 1) { + bestNodes.push([null, maxDistance]); + } + } + if (self.root) + nearestSearch(self.root); + result = []; + for (i = 0; i < Math.min(maxNodes, bestNodes.content.length); i += 1) { + if (bestNodes.content[i][0]) { + result.push([bestNodes.content[i][0].obj, bestNodes.content[i][1]]); + } + } + return result; + }; + this.balanceFactor = function() { + function height(node) { + if (node === null) { + return 0; + } + return Math.max(height(node.left), height(node.right)) + 1; + } + __name(height, "height"); + function count(node) { + if (node === null) { + return 0; + } + return count(node.left) + count(node.right) + 1; + } + __name(count, "count"); + return height(self.root) / (Math.log(count(self.root)) / Math.log(2)); + }; + } + __name(kdTree, "kdTree"); + function BinaryHeap(scoreFunction) { + this.content = []; + this.scoreFunction = scoreFunction; + } + __name(BinaryHeap, "BinaryHeap"); + BinaryHeap.prototype = { + push: function(element) { + this.content.push(element); + this.bubbleUp(this.content.length - 1); + }, + pop: function() { + var result = this.content[0]; + var end = this.content.pop(); + if (this.content.length > 0) { + this.content[0] = end; + this.sinkDown(0); + } + return result; + }, + peek: function() { + return this.content[0]; + }, + remove: function(node) { + var len = this.content.length; + for (var i = 0; i < len; i++) { + if (this.content[i] == node) { + var end = this.content.pop(); + if (i != len - 1) { + this.content[i] = end; + if (this.scoreFunction(end) < this.scoreFunction(node)) + this.bubbleUp(i); + else + this.sinkDown(i); + } + return; + } + } + throw new Error("Node not found."); + }, + size: function() { + return this.content.length; + }, + bubbleUp: function(n) { + var element = this.content[n]; + while (n > 0) { + var parentN = Math.floor((n + 1) / 2) - 1, parent = this.content[parentN]; + if (this.scoreFunction(element) < this.scoreFunction(parent)) { + this.content[parentN] = element; + this.content[n] = parent; + n = parentN; + } else { + break; + } + } + }, + sinkDown: function(n) { + var length = this.content.length, element = this.content[n], elemScore = this.scoreFunction(element); + while (true) { + var child2N = (n + 1) * 2, child1N = child2N - 1; + var swap = null; + if (child1N < length) { + var child1 = this.content[child1N], child1Score = this.scoreFunction(child1); + if (child1Score < elemScore) + swap = child1N; + } + if (child2N < length) { + var child2 = this.content[child2N], child2Score = this.scoreFunction(child2); + if (child2Score < (swap == null ? elemScore : child1Score)) { + swap = child2N; + } + } + if (swap != null) { + this.content[n] = this.content[swap]; + this.content[swap] = element; + n = swap; + } else { + break; + } + } + } + }; + exports2.kdTree = kdTree; + exports2.BinaryHeap = BinaryHeap; + }); + } +}); +var require_munkres = __commonJS({ + "node_modules/.pnpm/munkres-js@1.2.2/node_modules/munkres-js/munkres.js"(exports, module) { + var MAX_SIZE = parseInt(Number.MAX_SAFE_INTEGER / 2) || (1 << 26) * (1 << 26); + var DEFAULT_PAD_VALUE = 0; + function Munkres() { + this.C = null; + this.row_covered = []; + this.col_covered = []; + this.n = 0; + this.Z0_r = 0; + this.Z0_c = 0; + this.marked = null; + this.path = null; + } + __name(Munkres, "Munkres"); + Munkres.prototype.pad_matrix = function(matrix, pad_value) { + pad_value = pad_value || DEFAULT_PAD_VALUE; + var max_columns = 0; + var total_rows = matrix.length; + var i; + for (i = 0; i < total_rows; ++i) + if (matrix[i].length > max_columns) + max_columns = matrix[i].length; + total_rows = max_columns > total_rows ? max_columns : total_rows; + var new_matrix = []; + for (i = 0; i < total_rows; ++i) { + var row = matrix[i] || []; + var new_row = row.slice(); + while (total_rows > new_row.length) + new_row.push(pad_value); + new_matrix.push(new_row); + } + return new_matrix; + }; + Munkres.prototype.compute = function(cost_matrix, options) { + options = options || {}; + options.padValue = options.padValue || DEFAULT_PAD_VALUE; + this.C = this.pad_matrix(cost_matrix, options.padValue); + this.n = this.C.length; + this.original_length = cost_matrix.length; + this.original_width = cost_matrix[0].length; + var nfalseArray = []; + while (nfalseArray.length < this.n) + nfalseArray.push(false); + this.row_covered = nfalseArray.slice(); + this.col_covered = nfalseArray.slice(); + this.Z0_r = 0; + this.Z0_c = 0; + this.path = this.__make_matrix(this.n * 2, 0); + this.marked = this.__make_matrix(this.n, 0); + var step = 1; + var steps = { + 1: this.__step1, + 2: this.__step2, + 3: this.__step3, + 4: this.__step4, + 5: this.__step5, + 6: this.__step6 + }; + while (true) { + var func = steps[step]; + if (!func) + break; + step = func.apply(this); + } + var results = []; + for (var i = 0; i < this.original_length; ++i) + for (var j = 0; j < this.original_width; ++j) + if (this.marked[i][j] == 1) + results.push([i, j]); + return results; + }; + Munkres.prototype.__make_matrix = function(n, val) { + var matrix = []; + for (var i = 0; i < n; ++i) { + matrix[i] = []; + for (var j = 0; j < n; ++j) + matrix[i][j] = val; + } + return matrix; + }; + Munkres.prototype.__step1 = function() { + for (var i = 0; i < this.n; ++i) { + var minval = Math.min.apply(Math, this.C[i]); + for (var j = 0; j < this.n; ++j) + this.C[i][j] -= minval; + } + return 2; + }; + Munkres.prototype.__step2 = function() { + for (var i = 0; i < this.n; ++i) { + for (var j = 0; j < this.n; ++j) { + if (this.C[i][j] === 0 && !this.col_covered[j] && !this.row_covered[i]) { + this.marked[i][j] = 1; + this.col_covered[j] = true; + this.row_covered[i] = true; + break; + } + } + } + this.__clear_covers(); + return 3; + }; + Munkres.prototype.__step3 = function() { + var count = 0; + for (var i = 0; i < this.n; ++i) { + for (var j = 0; j < this.n; ++j) { + if (this.marked[i][j] == 1 && this.col_covered[j] == false) { + this.col_covered[j] = true; + ++count; + } + } + } + return count >= this.n ? 7 : 4; + }; + Munkres.prototype.__step4 = function() { + var done = false; + var row = -1, col = -1, star_col = -1; + while (!done) { + var z = this.__find_a_zero(); + row = z[0]; + col = z[1]; + if (row < 0) + return 6; + this.marked[row][col] = 2; + star_col = this.__find_star_in_row(row); + if (star_col >= 0) { + col = star_col; + this.row_covered[row] = true; + this.col_covered[col] = false; + } else { + this.Z0_r = row; + this.Z0_c = col; + return 5; + } + } + }; + Munkres.prototype.__step5 = function() { + var count = 0; + this.path[count][0] = this.Z0_r; + this.path[count][1] = this.Z0_c; + var done = false; + while (!done) { + var row = this.__find_star_in_col(this.path[count][1]); + if (row >= 0) { + count++; + this.path[count][0] = row; + this.path[count][1] = this.path[count - 1][1]; + } else { + done = true; + } + if (!done) { + var col = this.__find_prime_in_row(this.path[count][0]); + count++; + this.path[count][0] = this.path[count - 1][0]; + this.path[count][1] = col; + } + } + this.__convert_path(this.path, count); + this.__clear_covers(); + this.__erase_primes(); + return 3; + }; + Munkres.prototype.__step6 = function() { + var minval = this.__find_smallest(); + for (var i = 0; i < this.n; ++i) { + for (var j = 0; j < this.n; ++j) { + if (this.row_covered[i]) + this.C[i][j] += minval; + if (!this.col_covered[j]) + this.C[i][j] -= minval; + } + } + return 4; + }; + Munkres.prototype.__find_smallest = function() { + var minval = MAX_SIZE; + for (var i = 0; i < this.n; ++i) + for (var j = 0; j < this.n; ++j) + if (!this.row_covered[i] && !this.col_covered[j]) { + if (minval > this.C[i][j]) + minval = this.C[i][j]; + } + return minval; + }; + Munkres.prototype.__find_a_zero = function() { + for (var i = 0; i < this.n; ++i) + for (var j = 0; j < this.n; ++j) + if (this.C[i][j] === 0 && !this.row_covered[i] && !this.col_covered[j]) + return [i, j]; + return [-1, -1]; + }; + Munkres.prototype.__find_star_in_row = function(row) { + for (var j = 0; j < this.n; ++j) + if (this.marked[row][j] == 1) + return j; + return -1; + }; + Munkres.prototype.__find_star_in_col = function(col) { + for (var i = 0; i < this.n; ++i) + if (this.marked[i][col] == 1) + return i; + return -1; + }; + Munkres.prototype.__find_prime_in_row = function(row) { + for (var j = 0; j < this.n; ++j) + if (this.marked[row][j] == 2) + return j; + return -1; + }; + Munkres.prototype.__convert_path = function(path, count) { + for (var i = 0; i <= count; ++i) + this.marked[path[i][0]][path[i][1]] = this.marked[path[i][0]][path[i][1]] == 1 ? 0 : 1; + }; + Munkres.prototype.__clear_covers = function() { + for (var i = 0; i < this.n; ++i) { + this.row_covered[i] = false; + this.col_covered[i] = false; + } + }; + Munkres.prototype.__erase_primes = function() { + for (var i = 0; i < this.n; ++i) + for (var j = 0; j < this.n; ++j) + if (this.marked[i][j] == 2) + this.marked[i][j] = 0; + }; + function make_cost_matrix(profit_matrix, inversion_function) { + var i, j; + if (!inversion_function) { + var maximum = -1 / 0; + for (i = 0; i < profit_matrix.length; ++i) + for (j = 0; j < profit_matrix[i].length; ++j) + if (profit_matrix[i][j] > maximum) + maximum = profit_matrix[i][j]; + inversion_function = __name(function(x) { + return maximum - x; + }, "inversion_function"); + } + var cost_matrix = []; + for (i = 0; i < profit_matrix.length; ++i) { + var row = profit_matrix[i]; + cost_matrix[i] = []; + for (j = 0; j < row.length; ++j) + cost_matrix[i][j] = inversion_function(profit_matrix[i][j]); + } + return cost_matrix; + } + __name(make_cost_matrix, "make_cost_matrix"); + function format_matrix(matrix) { + var columnWidths = []; + var i, j; + for (i = 0; i < matrix.length; ++i) { + for (j = 0; j < matrix[i].length; ++j) { + var entryWidth = String(matrix[i][j]).length; + if (!columnWidths[j] || entryWidth >= columnWidths[j]) + columnWidths[j] = entryWidth; + } + } + var formatted = ""; + for (i = 0; i < matrix.length; ++i) { + for (j = 0; j < matrix[i].length; ++j) { + var s = String(matrix[i][j]); + while (s.length < columnWidths[j]) + s = " " + s; + formatted += s; + if (j != matrix[i].length - 1) + formatted += " "; + } + if (i != matrix[i].length - 1) + formatted += "\n"; + } + return formatted; + } + __name(format_matrix, "format_matrix"); + function computeMunkres(cost_matrix, options) { + var m = new Munkres(); + return m.compute(cost_matrix, options); + } + __name(computeMunkres, "computeMunkres"); + computeMunkres.version = "1.2.2"; + computeMunkres.format_matrix = format_matrix; + computeMunkres.make_cost_matrix = make_cost_matrix; + computeMunkres.Munkres = Munkres; + if (typeof module !== "undefined" && module.exports) { + module.exports = computeMunkres; + } + } +}); +var require_tracker = __commonJS({ + "tracker.js"(exports) { + var itemTrackedModule = require_ItemTracked(); + var ItemTracked = itemTrackedModule.ItemTracked; + var kdTree = require_kdTree_min().kdTree; + var iouAreas = require_utils().iouAreas; + var munkres = require_munkres(); + var DEBUG_MODE = false; + var iouDistance = __name(function(item1, item2) { + var iou = iouAreas(item1, item2); + var distance = 1 - iou; + if (distance > 1 - params.iouLimit) { + distance = params.distanceLimit + 1; + } + return distance; + }, "iouDistance"); + var params = { + // DEFAULT_UNMATCHEDFRAMES_TOLERANCE + // This the number of frame we wait when an object isn't matched before considering it gone + unMatchedFramesTolerance: 5, + // DEFAULT_IOU_LIMIT, exclude things from beeing matched if their IOU is lower than this + // 1 means total overlap whereas 0 means no overlap + iouLimit: 0.05, + // Remove new objects fast if they could not be matched in the next frames. + // Setting this to false ensures the object will stick around at least + // unMatchedFramesTolerance frames, even if they could neven be matched in + // subsequent frames. + fastDelete: true, + // The function to use to determine the distance between to detected objects + distanceFunc: iouDistance, + // The distance limit for matching. If values need to be excluded from + // matching set their distance to something greater than the distance limit + distanceLimit: 1e4, + // The algorithm used to match tracks with new detections. Can be either + // 'kdTree' or 'munkres'. + matchingAlgorithm: "kdTree" + }; + var mapOfItemsTracked = /* @__PURE__ */ new Map(); + var mapOfAllItemsTracked = /* @__PURE__ */ new Map(); + var keepAllHistoryInMemory = false; + exports.computeDistance = iouDistance; + exports.updateTrackedItemsWithNewFrame = function(detectionsOfThisFrame, frameNb) { + var treeItemsTracked = new kdTree(Array.from(mapOfItemsTracked.values()), params.distanceFunc, ["x", "y", "w", "h"]); + var treeDetectionsOfThisFrame = new kdTree(detectionsOfThisFrame, params.distanceFunc, ["x", "y", "w", "h"]); + if (mapOfItemsTracked.size === 0) { + detectionsOfThisFrame.forEach(function(itemDetected) { + var newItemTracked = new ItemTracked(itemDetected, frameNb, params.unMatchedFramesTolerance, params.fastDelete); + mapOfItemsTracked.set(newItemTracked.id, newItemTracked); + treeItemsTracked.insert(newItemTracked); + }); + } else { + var matchedList = new Array(detectionsOfThisFrame.length); + matchedList.fill(false); + if (detectionsOfThisFrame.length > 0) { + if (params.matchingAlgorithm === "munkres") { + var trackedItemIds = Array.from(mapOfItemsTracked.keys()); + var costMatrix = Array.from(mapOfItemsTracked.values()).map((itemTracked) => { + var predictedPosition = itemTracked.predictNextPosition(); + return detectionsOfThisFrame.map( + (detection) => params.distanceFunc(predictedPosition, detection) + ); + }); + mapOfItemsTracked.forEach(function(itemTracked) { + itemTracked.makeAvailable(); + }); + munkres(costMatrix).filter((m) => costMatrix[m[0]][m[1]] <= params.distanceLimit).forEach((m) => { + var itemTracked = mapOfItemsTracked.get(trackedItemIds[m[0]]); + var updatedTrackedItemProperties = detectionsOfThisFrame[m[1]]; + matchedList[m[1]] = { idDisplay: itemTracked.idDisplay }; + itemTracked.makeUnavailable().update(updatedTrackedItemProperties, frameNb); + }); + matchedList.forEach(function(matched, index) { + if (!matched) { + if (Math.min(...costMatrix.map((m) => m[index])) > params.distanceLimit) { + var newItemTracked = ItemTracked(detectionsOfThisFrame[index], frameNb, params.unMatchedFramesTolerance, params.fastDelete); + mapOfItemsTracked.set(newItemTracked.id, newItemTracked); + newItemTracked.makeUnavailable(); + costMatrix.push(detectionsOfThisFrame.map( + (detection) => params.distanceFunc(newItemTracked, detection) + )); + } + } + }); + } else if (params.matchingAlgorithm === "kdTree") { + mapOfItemsTracked.forEach(function(itemTracked) { + var predictedPosition = itemTracked.predictNextPosition(); + itemTracked.makeAvailable(); + var treeSearchResult = treeDetectionsOfThisFrame.nearest(predictedPosition, 1, params.distanceLimit)[0]; + var treeSearchResultWithoutPrediction = treeDetectionsOfThisFrame.nearest(itemTracked, 1, params.distanceLimit)[0]; + var treeSearchMultipleResults = treeDetectionsOfThisFrame.nearest(predictedPosition, 2, params.distanceLimit); + if (treeSearchResult) { + var indexClosestNewDetectedItem = detectionsOfThisFrame.indexOf(treeSearchResult[0]); + if (!matchedList[indexClosestNewDetectedItem]) { + matchedList[indexClosestNewDetectedItem] = { + idDisplay: itemTracked.idDisplay + }; + var updatedTrackedItemProperties = detectionsOfThisFrame[indexClosestNewDetectedItem]; + mapOfItemsTracked.get(itemTracked.id).makeUnavailable().update(updatedTrackedItemProperties, frameNb); + } else { + } + } + }); + } else { + throw `Unknown matching algorithm "${params.matchingAlgorithm}"`; + } + } else { + if (DEBUG_MODE) { + console.log("[Tracker] Nothing detected for frame n\xBA" + frameNb); + } + mapOfItemsTracked.forEach(function(itemTracked) { + itemTracked.makeAvailable(); + }); + } + if (params.matchingAlgorithm === "kdTree") { + if (mapOfItemsTracked.size > 0) { + treeItemsTracked = new kdTree(Array.from(mapOfItemsTracked.values()), params.distanceFunc, ["x", "y", "w", "h"]); + matchedList.forEach(function(matched, index) { + if (!matched) { + var treeSearchResult = treeItemsTracked.nearest(detectionsOfThisFrame[index], 1, params.distanceLimit)[0]; + if (!treeSearchResult) { + var newItemTracked = ItemTracked(detectionsOfThisFrame[index], frameNb, params.unMatchedFramesTolerance, params.fastDelete); + mapOfItemsTracked.set(newItemTracked.id, newItemTracked); + treeItemsTracked.insert(newItemTracked); + newItemTracked.makeUnavailable(); + } else { + } + } + }); + } + } + mapOfItemsTracked.forEach(function(itemTracked) { + if (itemTracked.available) { + itemTracked.countDown(frameNb); + itemTracked.updateTheoricalPositionAndSize(); + if (itemTracked.isDead()) { + mapOfItemsTracked.delete(itemTracked.id); + treeItemsTracked.remove(itemTracked); + if (keepAllHistoryInMemory) { + mapOfAllItemsTracked.set(itemTracked.id, itemTracked); + } + } + } + }); + } + }; + exports.reset = function() { + mapOfItemsTracked = /* @__PURE__ */ new Map(); + mapOfAllItemsTracked = /* @__PURE__ */ new Map(); + itemTrackedModule.reset(); + }; + exports.setParams = function(newParams) { + Object.keys(newParams).forEach((key) => { + params[key] = newParams[key]; + }); + }; + exports.enableKeepInMemory = function() { + keepAllHistoryInMemory = true; + }; + exports.disableKeepInMemory = function() { + keepAllHistoryInMemory = false; + }; + exports.getJSONOfTrackedItems = function(roundInt = true) { + return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) { + return itemTracked.toJSON(roundInt); + }); + }; + exports.getJSONDebugOfTrackedItems = function(roundInt = true) { + return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) { + return itemTracked.toJSONDebug(roundInt); + }); + }; + exports.getTrackedItemsInMOTFormat = function(frameNb) { + return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) { + return itemTracked.toMOT(frameNb); + }); + }; + exports.getAllTrackedItems = function() { + return mapOfAllItemsTracked; + }; + exports.getJSONOfAllTrackedItems = function() { + return Array.from(mapOfAllItemsTracked.values()).map(function(itemTracked) { + return itemTracked.toJSONGenericInfo(); + }); + }; + } +}); +var tracker_default = require_tracker(); + +// demo/tracker/index.ts +var humanConfig = { + // user configuration for human, used to fine-tune behavior + debug: true, + backend: "webgl", + // cacheSensitivity: 0, + // cacheModels: false, + // warmup: 'none', + modelBasePath: "https://vladmandic.github.io/human-models/models", + filter: { enabled: true, equalization: false, flip: false }, + face: { + enabled: true, + detector: { rotation: false, maxDetected: 10, minConfidence: 0.3 }, + mesh: { enabled: true }, + attention: { enabled: false }, + iris: { enabled: false }, + description: { enabled: false }, + emotion: { enabled: false }, + antispoof: { enabled: false }, + liveness: { enabled: false } + }, + body: { enabled: false, maxDetected: 6, modelPath: "movenet-multipose.json" }, + hand: { enabled: false }, + object: { enabled: false, maxDetected: 10 }, + segmentation: { enabled: false }, + gesture: { enabled: false } +}; +var trackerConfig = { + unMatchedFramesTolerance: 100, + iouLimit: 0.05, + fastDelete: false, + distanceLimit: 1e4, + matchingAlgorithm: "kdTree" +}; +var human = new H.Human(humanConfig); +var dom = { + // grab instances of dom objects so we dont have to look them up later + video: document.getElementById("video"), + canvas: document.getElementById("canvas"), + log: document.getElementById("log"), + fps: document.getElementById("status"), + tracker: document.getElementById("tracker"), + interpolation: document.getElementById("interpolation"), + config: document.getElementById("config"), + ctx: document.getElementById("canvas").getContext("2d") +}; +var timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 }; +var fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 }; +var log = (...msg) => { + dom.log.innerText += msg.join(" ") + "\n"; + console.log(...msg); +}; +var status = (msg) => dom.fps.innerText = msg; +async function detectionLoop() { + if (!dom.video.paused && dom.video.readyState >= 2) { + if (timestamp.start === 0) + timestamp.start = human.now(); + await human.detect(dom.video, humanConfig); + const tensors = human.tf.memory().numTensors; + if (tensors - timestamp.tensors !== 0) + log("allocated tensors:", tensors - timestamp.tensors); + timestamp.tensors = tensors; + fps.detectFPS = Math.round(1e3 * 1e3 / (human.now() - timestamp.detect)) / 1e3; + fps.frames++; + fps.averageMs = Math.round(1e3 * (human.now() - timestamp.start) / fps.frames) / 1e3; + } + timestamp.detect = human.now(); + requestAnimationFrame(detectionLoop); +} +function drawLoop() { + if (!dom.video.paused && dom.video.readyState >= 2) { + const res = dom.interpolation.checked ? human.next(human.result) : human.result; + let tracking = []; + if (human.config.face.enabled) + tracking = res.face; + else if (human.config.body.enabled) + tracking = res.body; + else if (human.config.object.enabled) + tracking = res.object; + else + log("unknown object type"); + let data = []; + if (dom.tracker.checked) { + const items = tracking.map((obj) => ({ + x: obj.box[0] + obj.box[2] / 2, + y: obj.box[1] + obj.box[3] / 2, + w: obj.box[2], + h: obj.box[3], + name: obj.label || (human.config.face.enabled ? "face" : "body"), + confidence: obj.score + })); + tracker_default.updateTrackedItemsWithNewFrame(items, fps.frames); + data = tracker_default.getJSONOfTrackedItems(true); + } + human.draw.canvas(dom.video, dom.canvas); + for (let i = 0; i < tracking.length; i++) { + const name = tracking[i].label || (human.config.face.enabled ? "face" : "body"); + dom.ctx.strokeRect(tracking[i].box[0], tracking[i].box[1], tracking[i].box[1], tracking[i].box[2]); + dom.ctx.fillText(`id: ${tracking[i].id} ${Math.round(100 * tracking[i].score)}% ${name}`, tracking[i].box[0] + 4, tracking[i].box[1] + 16); + if (data[i]) { + dom.ctx.fillText(`t: ${data[i].id} ${Math.round(100 * data[i].confidence)}% ${data[i].name} ${data[i].isZombie ? "zombie" : ""}`, tracking[i].box[0] + 4, tracking[i].box[1] + 34); + } + } + } + const now = human.now(); + fps.drawFPS = Math.round(1e3 * 1e3 / (now - timestamp.draw)) / 1e3; + timestamp.draw = now; + status(dom.video.paused ? "paused" : `fps: ${fps.detectFPS.toFixed(1).padStart(5, " ")} detect | ${fps.drawFPS.toFixed(1).padStart(5, " ")} draw`); + setTimeout(drawLoop, 30); +} +async function handleVideo(file) { + const url = URL.createObjectURL(file); + dom.video.src = url; + await dom.video.play(); + log("loaded video:", file.name, "resolution:", [dom.video.videoWidth, dom.video.videoHeight], "duration:", dom.video.duration); + dom.canvas.width = dom.video.videoWidth; + dom.canvas.height = dom.video.videoHeight; + dom.ctx.strokeStyle = "white"; + dom.ctx.fillStyle = "white"; + dom.ctx.font = "16px Segoe UI"; + dom.video.playbackRate = 0.25; +} +function initInput() { + document.body.addEventListener("dragenter", (evt) => evt.preventDefault()); + document.body.addEventListener("dragleave", (evt) => evt.preventDefault()); + document.body.addEventListener("dragover", (evt) => evt.preventDefault()); + document.body.addEventListener("drop", async (evt) => { + var _a, _b; + evt.preventDefault(); + if (evt.dataTransfer) + evt.dataTransfer.dropEffect = "copy"; + const file = (_b = (_a = evt.dataTransfer) == null ? void 0 : _a.files) == null ? void 0 : _b[0]; + if (file) + await handleVideo(file); + log(dom.video.readyState); + }); + document.getElementById("inputvideo").onchange = async (evt) => { + var _a, _b; + evt.preventDefault(); + const file = (_b = (_a = evt.target) == null ? void 0 : _a["files"]) == null ? void 0 : _b[0]; + if (file) + await handleVideo(file); + }; + dom.config.onchange = () => { + trackerConfig.distanceLimit = document.getElementById("distanceLimit").valueAsNumber; + trackerConfig.iouLimit = document.getElementById("iouLimit").valueAsNumber; + trackerConfig.unMatchedFramesTolerance = document.getElementById("unMatchedFramesTolerance").valueAsNumber; + trackerConfig.unMatchedFramesTolerance = document.getElementById("unMatchedFramesTolerance").valueAsNumber; + trackerConfig.matchingAlgorithm = document.getElementById("matchingAlgorithm-kdTree").checked ? "kdTree" : "munkres"; + tracker_default.setParams(trackerConfig); + if (document.getElementById("keepInMemory").checked) + tracker_default.enableKeepInMemory(); + else + tracker_default.disableKeepInMemory(); + tracker_default.reset(); + log("tracker config change", JSON.stringify(trackerConfig)); + humanConfig.face.enabled = document.getElementById("box-face").checked; + humanConfig.body.enabled = document.getElementById("box-body").checked; + humanConfig.object.enabled = document.getElementById("box-object").checked; + }; + dom.tracker.onchange = (evt) => { + log("tracker", evt.target.checked ? "enabled" : "disabled"); + tracker_default.setParams(trackerConfig); + tracker_default.reset(); + }; +} +async function main() { + log("human version:", human.version, "| tfjs version:", human.tf.version["tfjs-core"]); + log("platform:", human.env.platform, "| agent:", human.env.agent); + status("loading..."); + await human.load(); + log("backend:", human.tf.getBackend(), "| available:", human.env.backends); + log("models loaded:", human.models.loaded()); + status("initializing..."); + await human.warmup(); + initInput(); + await detectionLoop(); + drawLoop(); +} +window.onload = main; //# sourceMappingURL=index.js.map diff --git a/demo/tracker/index.js.map b/demo/tracker/index.js.map index f154bcd2..e1784a7d 100644 --- a/demo/tracker/index.js.map +++ b/demo/tracker/index.js.map @@ -2,6 +2,6 @@ "version": 3, "sources": ["index.ts", "tracker.js"], "sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\nimport * as H from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human\nimport tracker from './tracker.js';\n\nconst humanConfig: Partial = { // user configuration for human, used to fine-tune behavior\n debug: true,\n backend: 'webgl',\n // cacheSensitivity: 0,\n // cacheModels: false,\n // warmup: 'none',\n modelBasePath: 'https://vladmandic.github.io/human-models/models',\n filter: { enabled: true, equalization: false, flip: false },\n face: {\n enabled: true,\n detector: { rotation: false, maxDetected: 10, minConfidence: 0.3 },\n mesh: { enabled: true },\n attention: { enabled: false },\n iris: { enabled: false },\n description: { enabled: false },\n emotion: { enabled: false },\n antispoof: { enabled: false },\n liveness: { enabled: false },\n },\n body: { enabled: false, maxDetected: 6, modelPath: 'movenet-multipose.json' },\n hand: { enabled: false },\n object: { enabled: false, maxDetected: 10 },\n segmentation: { enabled: false },\n gesture: { enabled: false },\n};\n\ninterface TrackerConfig {\n unMatchedFramesTolerance: number, // number of frame when an object is not matched before considering it gone; ignored if fastDelete is set\n iouLimit: number, // exclude things from beeing matched if their IOU less than; 1 means total overlap; 0 means no overlap\n fastDelete: boolean, // remove new objects immediately if they could not be matched in the next frames; if set, ignores unMatchedFramesTolerance\n distanceLimit: number, // distance limit for matching; if values need to be excluded from matching set their distance to something greater than the distance limit\n matchingAlgorithm: 'kdTree' | 'munkres', // algorithm used to match tracks with new detections\n}\n\ninterface TrackerResult {\n id: number,\n confidence: number,\n bearing: number,\n isZombie: boolean,\n name: string,\n x: number,\n y: number,\n w: number,\n h: number,\n}\n\nconst trackerConfig: TrackerConfig = {\n unMatchedFramesTolerance: 100,\n iouLimit: 0.05,\n fastDelete: false,\n distanceLimit: 1e4,\n matchingAlgorithm: 'kdTree',\n};\n\nconst human = new H.Human(humanConfig); // create instance of human with overrides from user configuration\n\nconst dom = { // grab instances of dom objects so we dont have to look them up later\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n tracker: document.getElementById('tracker') as HTMLInputElement,\n interpolation: document.getElementById('interpolation') as HTMLInputElement,\n config: document.getElementById('config') as HTMLFormElement,\n ctx: (document.getElementById('canvas') as HTMLCanvasElement).getContext('2d') as CanvasRenderingContext2D,\n};\nconst timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 }; // holds information used to calculate performance and possible memory leaks\nconst fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 }; // holds calculated fps information for both detect and screen refresh\n\nconst log = (...msg) => { // helper method to output messages\n dom.log.innerText += msg.join(' ') + '\\n';\n console.log(...msg); // eslint-disable-line no-console\n};\nconst status = (msg) => dom.fps.innerText = msg; // print status element\n\nasync function detectionLoop() { // main detection loop\n if (!dom.video.paused && dom.video.readyState >= 2) {\n if (timestamp.start === 0) timestamp.start = human.now();\n // log('profiling data:', await human.profile(dom.video));\n await human.detect(dom.video, humanConfig); // actual detection; were not capturing output in a local variable as it can also be reached via human.result\n const tensors = human.tf.memory().numTensors; // check current tensor usage for memory leaks\n if (tensors - timestamp.tensors !== 0) log('allocated tensors:', tensors - timestamp.tensors); // printed on start and each time there is a tensor leak\n timestamp.tensors = tensors;\n fps.detectFPS = Math.round(1000 * 1000 / (human.now() - timestamp.detect)) / 1000;\n fps.frames++;\n fps.averageMs = Math.round(1000 * (human.now() - timestamp.start) / fps.frames) / 1000;\n }\n timestamp.detect = human.now();\n requestAnimationFrame(detectionLoop); // start new frame immediately\n}\n\nfunction drawLoop() { // main screen refresh loop\n if (!dom.video.paused && dom.video.readyState >= 2) {\n const res: H.Result = dom.interpolation.checked ? human.next(human.result) : human.result; // interpolate results if enabled\n let tracking: H.FaceResult[] | H.BodyResult[] | H.ObjectResult[] = [];\n if (human.config.face.enabled) tracking = res.face;\n else if (human.config.body.enabled) tracking = res.body;\n else if (human.config.object.enabled) tracking = res.object;\n else log('unknown object type');\n let data: TrackerResult[] = [];\n if (dom.tracker.checked) {\n const items = tracking.map((obj) => ({\n x: obj.box[0] + obj.box[2] / 2,\n y: obj.box[1] + obj.box[3] / 2,\n w: obj.box[2],\n h: obj.box[3],\n name: obj.label || (human.config.face.enabled ? 'face' : 'body'),\n confidence: obj.score,\n }));\n tracker.updateTrackedItemsWithNewFrame(items, fps.frames);\n data = tracker.getJSONOfTrackedItems(true) as TrackerResult[];\n }\n human.draw.canvas(dom.video, dom.canvas); // copy input video frame to output canvas\n for (let i = 0; i < tracking.length; i++) {\n // @ts-ignore\n const name = tracking[i].label || (human.config.face.enabled ? 'face' : 'body');\n dom.ctx.strokeRect(tracking[i].box[0], tracking[i].box[1], tracking[i].box[1], tracking[i].box[2]);\n dom.ctx.fillText(`id: ${tracking[i].id} ${Math.round(100 * tracking[i].score)}% ${name}`, tracking[i].box[0] + 4, tracking[i].box[1] + 16);\n if (data[i]) {\n dom.ctx.fillText(`t: ${data[i].id} ${Math.round(100 * data[i].confidence)}% ${data[i].name} ${data[i].isZombie ? 'zombie' : ''}`, tracking[i].box[0] + 4, tracking[i].box[1] + 34);\n }\n }\n }\n const now = human.now();\n fps.drawFPS = Math.round(1000 * 1000 / (now - timestamp.draw)) / 1000;\n timestamp.draw = now;\n status(dom.video.paused ? 'paused' : `fps: ${fps.detectFPS.toFixed(1).padStart(5, ' ')} detect | ${fps.drawFPS.toFixed(1).padStart(5, ' ')} draw`); // write status\n setTimeout(drawLoop, 30); // use to slow down refresh from max refresh rate to target of 30 fps\n}\n\nasync function handleVideo(file: File) {\n const url = URL.createObjectURL(file);\n dom.video.src = url;\n await dom.video.play();\n log('loaded video:', file.name, 'resolution:', [dom.video.videoWidth, dom.video.videoHeight], 'duration:', dom.video.duration);\n dom.canvas.width = dom.video.videoWidth;\n dom.canvas.height = dom.video.videoHeight;\n dom.ctx.strokeStyle = 'white';\n dom.ctx.fillStyle = 'white';\n dom.ctx.font = '16px Segoe UI';\n dom.video.playbackRate = 0.25;\n}\n\nfunction initInput() {\n document.body.addEventListener('dragenter', (evt) => evt.preventDefault());\n document.body.addEventListener('dragleave', (evt) => evt.preventDefault());\n document.body.addEventListener('dragover', (evt) => evt.preventDefault());\n document.body.addEventListener('drop', async (evt) => {\n evt.preventDefault();\n if (evt.dataTransfer) evt.dataTransfer.dropEffect = 'copy';\n const file = evt.dataTransfer?.files?.[0];\n if (file) await handleVideo(file);\n log(dom.video.readyState);\n });\n (document.getElementById('inputvideo') as HTMLInputElement).onchange = async (evt) => {\n evt.preventDefault();\n const file = evt.target?.['files']?.[0];\n if (file) await handleVideo(file);\n };\n dom.config.onchange = () => {\n trackerConfig.distanceLimit = (document.getElementById('distanceLimit') as HTMLInputElement).valueAsNumber;\n trackerConfig.iouLimit = (document.getElementById('iouLimit') as HTMLInputElement).valueAsNumber;\n trackerConfig.unMatchedFramesTolerance = (document.getElementById('unMatchedFramesTolerance') as HTMLInputElement).valueAsNumber;\n trackerConfig.unMatchedFramesTolerance = (document.getElementById('unMatchedFramesTolerance') as HTMLInputElement).valueAsNumber;\n trackerConfig.matchingAlgorithm = (document.getElementById('matchingAlgorithm-kdTree') as HTMLInputElement).checked ? 'kdTree' : 'munkres';\n tracker.setParams(trackerConfig);\n if ((document.getElementById('keepInMemory') as HTMLInputElement).checked) tracker.enableKeepInMemory();\n else tracker.disableKeepInMemory();\n tracker.reset();\n log('tracker config change', JSON.stringify(trackerConfig));\n humanConfig.face!.enabled = (document.getElementById('box-face') as HTMLInputElement).checked; // eslint-disable-line @typescript-eslint/no-non-null-assertion\n humanConfig.body!.enabled = (document.getElementById('box-body') as HTMLInputElement).checked; // eslint-disable-line @typescript-eslint/no-non-null-assertion\n humanConfig.object!.enabled = (document.getElementById('box-object') as HTMLInputElement).checked; // eslint-disable-line @typescript-eslint/no-non-null-assertion\n };\n dom.tracker.onchange = (evt) => {\n log('tracker', (evt.target as HTMLInputElement).checked ? 'enabled' : 'disabled');\n tracker.setParams(trackerConfig);\n tracker.reset();\n };\n}\n\nasync function main() { // main entry point\n log('human version:', human.version, '| tfjs version:', human.tf.version['tfjs-core']);\n log('platform:', human.env.platform, '| agent:', human.env.agent);\n status('loading...');\n await human.load(); // preload all models\n log('backend:', human.tf.getBackend(), '| available:', human.env.backends);\n log('models loaded:', human.models.loaded());\n status('initializing...');\n await human.warmup(); // warmup function to initialize backend for future faster detection\n initInput(); // initialize input\n await detectionLoop(); // start detection loop\n drawLoop(); // start draw loop\n}\n\nwindow.onload = main;\n", "/* eslint-disable */\nvar __defProp = Object.defineProperty;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __name = (target, value) => __defProp(target, \"name\", { value, configurable: true });\nvar __commonJS = (cb, mod) => function __require() {\n return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;\n};\n\n// node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/rng-browser.js\nvar require_rng_browser = __commonJS({\n \"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/rng-browser.js\"(exports, module) {\n var getRandomValues = typeof crypto != \"undefined\" && crypto.getRandomValues.bind(crypto) || typeof msCrypto != \"undefined\" && msCrypto.getRandomValues.bind(msCrypto);\n if (getRandomValues) {\n rnds8 = new Uint8Array(16);\n module.exports = /* @__PURE__ */ __name(function whatwgRNG() {\n getRandomValues(rnds8);\n return rnds8;\n }, \"whatwgRNG\");\n } else {\n rnds = new Array(16);\n module.exports = /* @__PURE__ */ __name(function mathRNG() {\n for (var i = 0, r; i < 16; i++) {\n if ((i & 3) === 0)\n r = Math.random() * 4294967296;\n rnds[i] = r >>> ((i & 3) << 3) & 255;\n }\n return rnds;\n }, \"mathRNG\");\n }\n var rnds8;\n var rnds;\n }\n});\n\n// node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/bytesToUuid.js\nvar require_bytesToUuid = __commonJS({\n \"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/lib/bytesToUuid.js\"(exports, module) {\n var byteToHex = [];\n for (i = 0; i < 256; ++i) {\n byteToHex[i] = (i + 256).toString(16).substr(1);\n }\n function bytesToUuid(buf, offset) {\n var i2 = offset || 0;\n var bth = byteToHex;\n return bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + \"-\" + bth[buf[i2++]] + bth[buf[i2++]] + \"-\" + bth[buf[i2++]] + bth[buf[i2++]] + \"-\" + bth[buf[i2++]] + bth[buf[i2++]] + \"-\" + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]] + bth[buf[i2++]];\n }\n __name(bytesToUuid, \"bytesToUuid\");\n module.exports = bytesToUuid;\n var i;\n }\n});\n\n// node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/v4.js\nvar require_v4 = __commonJS({\n \"node_modules/.pnpm/uuid@3.2.1/node_modules/uuid/v4.js\"(exports, module) {\n var rng = require_rng_browser();\n var bytesToUuid = require_bytesToUuid();\n function v4(options, buf, offset) {\n var i = buf && offset || 0;\n if (typeof options == \"string\") {\n buf = options === \"binary\" ? new Array(16) : null;\n options = null;\n }\n options = options || {};\n var rnds = options.random || (options.rng || rng)();\n rnds[6] = rnds[6] & 15 | 64;\n rnds[8] = rnds[8] & 63 | 128;\n if (buf) {\n for (var ii = 0; ii < 16; ++ii) {\n buf[i + ii] = rnds[ii];\n }\n }\n return buf || bytesToUuid(rnds);\n }\n __name(v4, \"v4\");\n module.exports = v4;\n }\n});\n\n// utils.js\nvar require_utils = __commonJS({\n \"utils.js\"(exports) {\n exports.isDetectionTooLarge = (detections, largestAllowed) => {\n if (detections.w >= largestAllowed) {\n return true;\n } else {\n return false;\n }\n };\n var isInsideArea = /* @__PURE__ */ __name((area, point) => {\n const xMin = area.x - area.w / 2;\n const xMax = area.x + area.w / 2;\n const yMin = area.y - area.h / 2;\n const yMax = area.y + area.h / 2;\n if (point.x >= xMin && point.x <= xMax && point.y >= yMin && point.y <= yMax) {\n return true;\n } else {\n return false;\n }\n }, \"isInsideArea\");\n exports.isInsideArea = isInsideArea;\n exports.isInsideSomeAreas = (areas, point) => {\n const isInside = areas.some((area) => isInsideArea(area, point));\n return isInside;\n };\n exports.ignoreObjectsNotToDetect = (detections, objectsToDetect) => {\n return detections.filter((detection) => objectsToDetect.indexOf(detection.name) > -1);\n };\n var getRectangleEdges = /* @__PURE__ */ __name((item) => {\n return {\n x0: item.x - item.w / 2,\n y0: item.y - item.h / 2,\n x1: item.x + item.w / 2,\n y1: item.y + item.h / 2\n };\n }, \"getRectangleEdges\");\n exports.getRectangleEdges = getRectangleEdges;\n exports.iouAreas = (item1, item2) => {\n var rect1 = getRectangleEdges(item1);\n var rect2 = getRectangleEdges(item2);\n var overlap_x0 = Math.max(rect1.x0, rect2.x0);\n var overlap_y0 = Math.max(rect1.y0, rect2.y0);\n var overlap_x1 = Math.min(rect1.x1, rect2.x1);\n var overlap_y1 = Math.min(rect1.y1, rect2.y1);\n if (overlap_x1 - overlap_x0 <= 0 || overlap_y1 - overlap_y0 <= 0) {\n return 0;\n } else {\n const area_rect1 = item1.w * item1.h;\n const area_rect2 = item2.w * item2.h;\n const area_intersection = (overlap_x1 - overlap_x0) * (overlap_y1 - overlap_y0);\n const area_union = area_rect1 + area_rect2 - area_intersection;\n return area_intersection / area_union;\n }\n };\n exports.computeVelocityVector = (item1, item2, nbFrame) => {\n return {\n dx: (item2.x - item1.x) / nbFrame,\n dy: (item2.y - item1.y) / nbFrame\n };\n };\n exports.computeBearingIn360 = function(dx, dy) {\n var angle = Math.atan(dx / dy) / (Math.PI / 180);\n if (angle > 0) {\n if (dy > 0)\n return angle;\n else\n return 180 + angle;\n } else {\n if (dx > 0)\n return 180 + angle;\n else\n return 360 + angle;\n }\n };\n }\n});\n\n// ItemTracked.js\nvar require_ItemTracked = __commonJS({\n \"ItemTracked.js\"(exports) {\n var uuidv4 = require_v4();\n var computeBearingIn360 = require_utils().computeBearingIn360;\n var computeVelocityVector = require_utils().computeVelocityVector;\n exports.ITEM_HISTORY_MAX_LENGTH = 15;\n var idDisplay = 0;\n exports.ItemTracked = function(properties, frameNb, unMatchedFramesTolerance, fastDelete) {\n var DEFAULT_UNMATCHEDFRAMES_TOLERANCE = unMatchedFramesTolerance;\n var itemTracked = {};\n itemTracked.available = true;\n itemTracked.delete = false;\n itemTracked.fastDelete = fastDelete;\n itemTracked.frameUnmatchedLeftBeforeDying = unMatchedFramesTolerance;\n itemTracked.isZombie = false;\n itemTracked.appearFrame = frameNb;\n itemTracked.disappearFrame = null;\n itemTracked.disappearArea = {};\n itemTracked.nameCount = {};\n itemTracked.nameCount[properties.name] = 1;\n itemTracked.x = properties.x;\n itemTracked.y = properties.y;\n itemTracked.w = properties.w;\n itemTracked.h = properties.h;\n itemTracked.name = properties.name;\n itemTracked.confidence = properties.confidence;\n itemTracked.itemHistory = [];\n itemTracked.itemHistory.push({\n x: properties.x,\n y: properties.y,\n w: properties.w,\n h: properties.h,\n confidence: properties.confidence\n });\n if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) {\n itemTracked.itemHistory.shift();\n }\n itemTracked.velocity = {\n dx: 0,\n dy: 0\n };\n itemTracked.nbTimeMatched = 1;\n itemTracked.id = uuidv4();\n itemTracked.idDisplay = idDisplay;\n idDisplay++;\n itemTracked.update = function(properties2, frameNb2) {\n if (this.disappearFrame) {\n this.disappearFrame = null;\n this.disappearArea = {};\n }\n this.isZombie = false;\n this.nbTimeMatched += 1;\n this.x = properties2.x;\n this.y = properties2.y;\n this.w = properties2.w;\n this.h = properties2.h;\n this.confidence = properties2.confidence;\n this.itemHistory.push({\n x: this.x,\n y: this.y,\n w: this.w,\n h: this.h,\n confidence: this.confidence\n });\n if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) {\n itemTracked.itemHistory.shift();\n }\n this.name = properties2.name;\n if (this.nameCount[properties2.name]) {\n this.nameCount[properties2.name]++;\n } else {\n this.nameCount[properties2.name] = 1;\n }\n this.frameUnmatchedLeftBeforeDying = DEFAULT_UNMATCHEDFRAMES_TOLERANCE;\n this.velocity = this.updateVelocityVector();\n };\n itemTracked.makeAvailable = function() {\n this.available = true;\n return this;\n };\n itemTracked.makeUnavailable = function() {\n this.available = false;\n return this;\n };\n itemTracked.countDown = function(frameNb2) {\n if (this.disappearFrame === null) {\n this.disappearFrame = frameNb2;\n this.disappearArea = {\n x: this.x,\n y: this.y,\n w: this.w,\n h: this.h\n };\n }\n this.frameUnmatchedLeftBeforeDying--;\n this.isZombie = true;\n if (this.fastDelete && this.nbTimeMatched <= 1) {\n this.frameUnmatchedLeftBeforeDying = -1;\n }\n };\n itemTracked.updateTheoricalPositionAndSize = function() {\n this.itemHistory.push({\n x: this.x,\n y: this.y,\n w: this.w,\n h: this.h,\n confidence: this.confidence\n });\n if (itemTracked.itemHistory.length >= exports.ITEM_HISTORY_MAX_LENGTH) {\n itemTracked.itemHistory.shift();\n }\n this.x = this.x + this.velocity.dx;\n this.y = this.y + this.velocity.dy;\n };\n itemTracked.predictNextPosition = function() {\n return {\n x: this.x + this.velocity.dx,\n y: this.y + this.velocity.dy,\n w: this.w,\n h: this.h\n };\n };\n itemTracked.isDead = function() {\n return this.frameUnmatchedLeftBeforeDying < 0;\n };\n itemTracked.updateVelocityVector = function() {\n if (exports.ITEM_HISTORY_MAX_LENGTH <= 2) {\n return { dx: void 0, dy: void 0 };\n }\n if (this.itemHistory.length <= exports.ITEM_HISTORY_MAX_LENGTH) {\n const start = this.itemHistory[0];\n const end = this.itemHistory[this.itemHistory.length - 1];\n return computeVelocityVector(start, end, this.itemHistory.length);\n } else {\n const start = this.itemHistory[this.itemHistory.length - exports.ITEM_HISTORY_MAX_LENGTH];\n const end = this.itemHistory[this.itemHistory.length - 1];\n return computeVelocityVector(start, end, exports.ITEM_HISTORY_MAX_LENGTH);\n }\n };\n itemTracked.getMostlyMatchedName = function() {\n var nameMostlyMatchedOccurences = 0;\n var nameMostlyMatched = \"\";\n Object.keys(this.nameCount).map((name) => {\n if (this.nameCount[name] > nameMostlyMatchedOccurences) {\n nameMostlyMatched = name;\n nameMostlyMatchedOccurences = this.nameCount[name];\n }\n });\n return nameMostlyMatched;\n };\n itemTracked.toJSONDebug = function(roundInt = true) {\n return {\n id: this.id,\n idDisplay: this.idDisplay,\n x: roundInt ? parseInt(this.x, 10) : this.x,\n y: roundInt ? parseInt(this.y, 10) : this.y,\n w: roundInt ? parseInt(this.w, 10) : this.w,\n h: roundInt ? parseInt(this.h, 10) : this.h,\n confidence: Math.round(this.confidence * 100) / 100,\n // Here we negate dy to be in \"normal\" carthesian coordinates\n bearing: parseInt(computeBearingIn360(this.velocity.dx, -this.velocity.dy)),\n name: this.getMostlyMatchedName(),\n isZombie: this.isZombie,\n appearFrame: this.appearFrame,\n disappearFrame: this.disappearFrame\n };\n };\n itemTracked.toJSON = function(roundInt = true) {\n return {\n id: this.idDisplay,\n x: roundInt ? parseInt(this.x, 10) : this.x,\n y: roundInt ? parseInt(this.y, 10) : this.y,\n w: roundInt ? parseInt(this.w, 10) : this.w,\n h: roundInt ? parseInt(this.h, 10) : this.h,\n confidence: Math.round(this.confidence * 100) / 100,\n // Here we negate dy to be in \"normal\" carthesian coordinates\n bearing: parseInt(computeBearingIn360(this.velocity.dx, -this.velocity.dy), 10),\n name: this.getMostlyMatchedName(),\n isZombie: this.isZombie\n };\n };\n itemTracked.toMOT = function(frameIndex) {\n return `${frameIndex},${this.idDisplay},${this.x - this.w / 2},${this.y - this.h / 2},${this.w},${this.h},${this.confidence / 100},-1,-1,-1`;\n };\n itemTracked.toJSONGenericInfo = function() {\n return {\n id: this.id,\n idDisplay: this.idDisplay,\n appearFrame: this.appearFrame,\n disappearFrame: this.disappearFrame,\n disappearArea: this.disappearArea,\n nbActiveFrame: this.disappearFrame - this.appearFrame,\n name: this.getMostlyMatchedName()\n };\n };\n return itemTracked;\n };\n exports.reset = function() {\n idDisplay = 0;\n };\n }\n});\n\n// lib/kdTree-min.js\nvar require_kdTree_min = __commonJS({\n \"lib/kdTree-min.js\"(exports) {\n (function(root, factory) {\n if (typeof define === \"function\" && define.amd) {\n define([\"exports\"], factory);\n } else if (typeof exports === \"object\") {\n factory(exports);\n } else {\n factory(root);\n }\n })(exports, function(exports2) {\n function Node(obj, dimension, parent) {\n this.obj = obj;\n this.left = null;\n this.right = null;\n this.parent = parent;\n this.dimension = dimension;\n }\n __name(Node, \"Node\");\n function kdTree(points, metric, dimensions) {\n var self = this;\n function buildTree(points2, depth, parent) {\n var dim = depth % dimensions.length, median, node;\n if (points2.length === 0) {\n return null;\n }\n if (points2.length === 1) {\n return new Node(points2[0], dim, parent);\n }\n points2.sort(function(a, b) {\n return a[dimensions[dim]] - b[dimensions[dim]];\n });\n median = Math.floor(points2.length / 2);\n node = new Node(points2[median], dim, parent);\n node.left = buildTree(points2.slice(0, median), depth + 1, node);\n node.right = buildTree(points2.slice(median + 1), depth + 1, node);\n return node;\n }\n __name(buildTree, \"buildTree\");\n function loadTree(data) {\n self.root = data;\n function restoreParent(root) {\n if (root.left) {\n root.left.parent = root;\n restoreParent(root.left);\n }\n if (root.right) {\n root.right.parent = root;\n restoreParent(root.right);\n }\n }\n __name(restoreParent, \"restoreParent\");\n restoreParent(self.root);\n }\n __name(loadTree, \"loadTree\");\n if (!Array.isArray(points))\n loadTree(points, metric, dimensions);\n else\n this.root = buildTree(points, 0, null);\n this.toJSON = function(src) {\n if (!src)\n src = this.root;\n var dest = new Node(src.obj, src.dimension, null);\n if (src.left)\n dest.left = self.toJSON(src.left);\n if (src.right)\n dest.right = self.toJSON(src.right);\n return dest;\n };\n this.insert = function(point) {\n function innerSearch(node, parent) {\n if (node === null) {\n return parent;\n }\n var dimension2 = dimensions[node.dimension];\n if (point[dimension2] < node.obj[dimension2]) {\n return innerSearch(node.left, node);\n } else {\n return innerSearch(node.right, node);\n }\n }\n __name(innerSearch, \"innerSearch\");\n var insertPosition = innerSearch(this.root, null), newNode, dimension;\n if (insertPosition === null) {\n this.root = new Node(point, 0, null);\n return;\n }\n newNode = new Node(point, (insertPosition.dimension + 1) % dimensions.length, insertPosition);\n dimension = dimensions[insertPosition.dimension];\n if (point[dimension] < insertPosition.obj[dimension]) {\n insertPosition.left = newNode;\n } else {\n insertPosition.right = newNode;\n }\n };\n this.remove = function(point) {\n var node;\n function nodeSearch(node2) {\n if (node2 === null) {\n return null;\n }\n if (node2.obj === point) {\n return node2;\n }\n var dimension = dimensions[node2.dimension];\n if (point[dimension] < node2.obj[dimension]) {\n return nodeSearch(node2.left, node2);\n } else {\n return nodeSearch(node2.right, node2);\n }\n }\n __name(nodeSearch, \"nodeSearch\");\n function removeNode(node2) {\n var nextNode, nextObj, pDimension;\n function findMin(node3, dim) {\n var dimension, own, left, right, min;\n if (node3 === null) {\n return null;\n }\n dimension = dimensions[dim];\n if (node3.dimension === dim) {\n if (node3.left !== null) {\n return findMin(node3.left, dim);\n }\n return node3;\n }\n own = node3.obj[dimension];\n left = findMin(node3.left, dim);\n right = findMin(node3.right, dim);\n min = node3;\n if (left !== null && left.obj[dimension] < own) {\n min = left;\n }\n if (right !== null && right.obj[dimension] < min.obj[dimension]) {\n min = right;\n }\n return min;\n }\n __name(findMin, \"findMin\");\n if (node2.left === null && node2.right === null) {\n if (node2.parent === null) {\n self.root = null;\n return;\n }\n pDimension = dimensions[node2.parent.dimension];\n if (node2.obj[pDimension] < node2.parent.obj[pDimension]) {\n node2.parent.left = null;\n } else {\n node2.parent.right = null;\n }\n return;\n }\n if (node2.right !== null) {\n nextNode = findMin(node2.right, node2.dimension);\n nextObj = nextNode.obj;\n removeNode(nextNode);\n node2.obj = nextObj;\n } else {\n nextNode = findMin(node2.left, node2.dimension);\n nextObj = nextNode.obj;\n removeNode(nextNode);\n node2.right = node2.left;\n node2.left = null;\n node2.obj = nextObj;\n }\n }\n __name(removeNode, \"removeNode\");\n node = nodeSearch(self.root);\n if (node === null) {\n return;\n }\n removeNode(node);\n };\n this.nearest = function(point, maxNodes, maxDistance) {\n var i, result, bestNodes;\n bestNodes = new BinaryHeap(\n function(e) {\n return -e[1];\n }\n );\n function nearestSearch(node) {\n var bestChild, dimension = dimensions[node.dimension], ownDistance = metric(point, node.obj), linearPoint = {}, linearDistance, otherChild, i2;\n function saveNode(node2, distance) {\n bestNodes.push([node2, distance]);\n if (bestNodes.size() > maxNodes) {\n bestNodes.pop();\n }\n }\n __name(saveNode, \"saveNode\");\n for (i2 = 0; i2 < dimensions.length; i2 += 1) {\n if (i2 === node.dimension) {\n linearPoint[dimensions[i2]] = point[dimensions[i2]];\n } else {\n linearPoint[dimensions[i2]] = node.obj[dimensions[i2]];\n }\n }\n linearDistance = metric(linearPoint, node.obj);\n if (node.right === null && node.left === null) {\n if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) {\n saveNode(node, ownDistance);\n }\n return;\n }\n if (node.right === null) {\n bestChild = node.left;\n } else if (node.left === null) {\n bestChild = node.right;\n } else {\n if (point[dimension] < node.obj[dimension]) {\n bestChild = node.left;\n } else {\n bestChild = node.right;\n }\n }\n nearestSearch(bestChild);\n if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) {\n saveNode(node, ownDistance);\n }\n if (bestNodes.size() < maxNodes || Math.abs(linearDistance) < bestNodes.peek()[1]) {\n if (bestChild === node.left) {\n otherChild = node.right;\n } else {\n otherChild = node.left;\n }\n if (otherChild !== null) {\n nearestSearch(otherChild);\n }\n }\n }\n __name(nearestSearch, \"nearestSearch\");\n if (maxDistance) {\n for (i = 0; i < maxNodes; i += 1) {\n bestNodes.push([null, maxDistance]);\n }\n }\n if (self.root)\n nearestSearch(self.root);\n result = [];\n for (i = 0; i < Math.min(maxNodes, bestNodes.content.length); i += 1) {\n if (bestNodes.content[i][0]) {\n result.push([bestNodes.content[i][0].obj, bestNodes.content[i][1]]);\n }\n }\n return result;\n };\n this.balanceFactor = function() {\n function height(node) {\n if (node === null) {\n return 0;\n }\n return Math.max(height(node.left), height(node.right)) + 1;\n }\n __name(height, \"height\");\n function count(node) {\n if (node === null) {\n return 0;\n }\n return count(node.left) + count(node.right) + 1;\n }\n __name(count, \"count\");\n return height(self.root) / (Math.log(count(self.root)) / Math.log(2));\n };\n }\n __name(kdTree, \"kdTree\");\n function BinaryHeap(scoreFunction) {\n this.content = [];\n this.scoreFunction = scoreFunction;\n }\n __name(BinaryHeap, \"BinaryHeap\");\n BinaryHeap.prototype = {\n push: function(element) {\n this.content.push(element);\n this.bubbleUp(this.content.length - 1);\n },\n pop: function() {\n var result = this.content[0];\n var end = this.content.pop();\n if (this.content.length > 0) {\n this.content[0] = end;\n this.sinkDown(0);\n }\n return result;\n },\n peek: function() {\n return this.content[0];\n },\n remove: function(node) {\n var len = this.content.length;\n for (var i = 0; i < len; i++) {\n if (this.content[i] == node) {\n var end = this.content.pop();\n if (i != len - 1) {\n this.content[i] = end;\n if (this.scoreFunction(end) < this.scoreFunction(node))\n this.bubbleUp(i);\n else\n this.sinkDown(i);\n }\n return;\n }\n }\n throw new Error(\"Node not found.\");\n },\n size: function() {\n return this.content.length;\n },\n bubbleUp: function(n) {\n var element = this.content[n];\n while (n > 0) {\n var parentN = Math.floor((n + 1) / 2) - 1, parent = this.content[parentN];\n if (this.scoreFunction(element) < this.scoreFunction(parent)) {\n this.content[parentN] = element;\n this.content[n] = parent;\n n = parentN;\n } else {\n break;\n }\n }\n },\n sinkDown: function(n) {\n var length = this.content.length, element = this.content[n], elemScore = this.scoreFunction(element);\n while (true) {\n var child2N = (n + 1) * 2, child1N = child2N - 1;\n var swap = null;\n if (child1N < length) {\n var child1 = this.content[child1N], child1Score = this.scoreFunction(child1);\n if (child1Score < elemScore)\n swap = child1N;\n }\n if (child2N < length) {\n var child2 = this.content[child2N], child2Score = this.scoreFunction(child2);\n if (child2Score < (swap == null ? elemScore : child1Score)) {\n swap = child2N;\n }\n }\n if (swap != null) {\n this.content[n] = this.content[swap];\n this.content[swap] = element;\n n = swap;\n } else {\n break;\n }\n }\n }\n };\n exports2.kdTree = kdTree;\n exports2.BinaryHeap = BinaryHeap;\n });\n }\n});\n\n// node_modules/.pnpm/munkres-js@1.2.2/node_modules/munkres-js/munkres.js\nvar require_munkres = __commonJS({\n \"node_modules/.pnpm/munkres-js@1.2.2/node_modules/munkres-js/munkres.js\"(exports, module) {\n var MAX_SIZE = parseInt(Number.MAX_SAFE_INTEGER / 2) || (1 << 26) * (1 << 26);\n var DEFAULT_PAD_VALUE = 0;\n function Munkres() {\n this.C = null;\n this.row_covered = [];\n this.col_covered = [];\n this.n = 0;\n this.Z0_r = 0;\n this.Z0_c = 0;\n this.marked = null;\n this.path = null;\n }\n __name(Munkres, \"Munkres\");\n Munkres.prototype.pad_matrix = function(matrix, pad_value) {\n pad_value = pad_value || DEFAULT_PAD_VALUE;\n var max_columns = 0;\n var total_rows = matrix.length;\n var i;\n for (i = 0; i < total_rows; ++i)\n if (matrix[i].length > max_columns)\n max_columns = matrix[i].length;\n total_rows = max_columns > total_rows ? max_columns : total_rows;\n var new_matrix = [];\n for (i = 0; i < total_rows; ++i) {\n var row = matrix[i] || [];\n var new_row = row.slice();\n while (total_rows > new_row.length)\n new_row.push(pad_value);\n new_matrix.push(new_row);\n }\n return new_matrix;\n };\n Munkres.prototype.compute = function(cost_matrix, options) {\n options = options || {};\n options.padValue = options.padValue || DEFAULT_PAD_VALUE;\n this.C = this.pad_matrix(cost_matrix, options.padValue);\n this.n = this.C.length;\n this.original_length = cost_matrix.length;\n this.original_width = cost_matrix[0].length;\n var nfalseArray = [];\n while (nfalseArray.length < this.n)\n nfalseArray.push(false);\n this.row_covered = nfalseArray.slice();\n this.col_covered = nfalseArray.slice();\n this.Z0_r = 0;\n this.Z0_c = 0;\n this.path = this.__make_matrix(this.n * 2, 0);\n this.marked = this.__make_matrix(this.n, 0);\n var step = 1;\n var steps = {\n 1: this.__step1,\n 2: this.__step2,\n 3: this.__step3,\n 4: this.__step4,\n 5: this.__step5,\n 6: this.__step6\n };\n while (true) {\n var func = steps[step];\n if (!func)\n break;\n step = func.apply(this);\n }\n var results = [];\n for (var i = 0; i < this.original_length; ++i)\n for (var j = 0; j < this.original_width; ++j)\n if (this.marked[i][j] == 1)\n results.push([i, j]);\n return results;\n };\n Munkres.prototype.__make_matrix = function(n, val) {\n var matrix = [];\n for (var i = 0; i < n; ++i) {\n matrix[i] = [];\n for (var j = 0; j < n; ++j)\n matrix[i][j] = val;\n }\n return matrix;\n };\n Munkres.prototype.__step1 = function() {\n for (var i = 0; i < this.n; ++i) {\n var minval = Math.min.apply(Math, this.C[i]);\n for (var j = 0; j < this.n; ++j)\n this.C[i][j] -= minval;\n }\n return 2;\n };\n Munkres.prototype.__step2 = function() {\n for (var i = 0; i < this.n; ++i) {\n for (var j = 0; j < this.n; ++j) {\n if (this.C[i][j] === 0 && !this.col_covered[j] && !this.row_covered[i]) {\n this.marked[i][j] = 1;\n this.col_covered[j] = true;\n this.row_covered[i] = true;\n break;\n }\n }\n }\n this.__clear_covers();\n return 3;\n };\n Munkres.prototype.__step3 = function() {\n var count = 0;\n for (var i = 0; i < this.n; ++i) {\n for (var j = 0; j < this.n; ++j) {\n if (this.marked[i][j] == 1 && this.col_covered[j] == false) {\n this.col_covered[j] = true;\n ++count;\n }\n }\n }\n return count >= this.n ? 7 : 4;\n };\n Munkres.prototype.__step4 = function() {\n var done = false;\n var row = -1, col = -1, star_col = -1;\n while (!done) {\n var z = this.__find_a_zero();\n row = z[0];\n col = z[1];\n if (row < 0)\n return 6;\n this.marked[row][col] = 2;\n star_col = this.__find_star_in_row(row);\n if (star_col >= 0) {\n col = star_col;\n this.row_covered[row] = true;\n this.col_covered[col] = false;\n } else {\n this.Z0_r = row;\n this.Z0_c = col;\n return 5;\n }\n }\n };\n Munkres.prototype.__step5 = function() {\n var count = 0;\n this.path[count][0] = this.Z0_r;\n this.path[count][1] = this.Z0_c;\n var done = false;\n while (!done) {\n var row = this.__find_star_in_col(this.path[count][1]);\n if (row >= 0) {\n count++;\n this.path[count][0] = row;\n this.path[count][1] = this.path[count - 1][1];\n } else {\n done = true;\n }\n if (!done) {\n var col = this.__find_prime_in_row(this.path[count][0]);\n count++;\n this.path[count][0] = this.path[count - 1][0];\n this.path[count][1] = col;\n }\n }\n this.__convert_path(this.path, count);\n this.__clear_covers();\n this.__erase_primes();\n return 3;\n };\n Munkres.prototype.__step6 = function() {\n var minval = this.__find_smallest();\n for (var i = 0; i < this.n; ++i) {\n for (var j = 0; j < this.n; ++j) {\n if (this.row_covered[i])\n this.C[i][j] += minval;\n if (!this.col_covered[j])\n this.C[i][j] -= minval;\n }\n }\n return 4;\n };\n Munkres.prototype.__find_smallest = function() {\n var minval = MAX_SIZE;\n for (var i = 0; i < this.n; ++i)\n for (var j = 0; j < this.n; ++j)\n if (!this.row_covered[i] && !this.col_covered[j]) {\n if (minval > this.C[i][j])\n minval = this.C[i][j];\n }\n return minval;\n };\n Munkres.prototype.__find_a_zero = function() {\n for (var i = 0; i < this.n; ++i)\n for (var j = 0; j < this.n; ++j)\n if (this.C[i][j] === 0 && !this.row_covered[i] && !this.col_covered[j])\n return [i, j];\n return [-1, -1];\n };\n Munkres.prototype.__find_star_in_row = function(row) {\n for (var j = 0; j < this.n; ++j)\n if (this.marked[row][j] == 1)\n return j;\n return -1;\n };\n Munkres.prototype.__find_star_in_col = function(col) {\n for (var i = 0; i < this.n; ++i)\n if (this.marked[i][col] == 1)\n return i;\n return -1;\n };\n Munkres.prototype.__find_prime_in_row = function(row) {\n for (var j = 0; j < this.n; ++j)\n if (this.marked[row][j] == 2)\n return j;\n return -1;\n };\n Munkres.prototype.__convert_path = function(path, count) {\n for (var i = 0; i <= count; ++i)\n this.marked[path[i][0]][path[i][1]] = this.marked[path[i][0]][path[i][1]] == 1 ? 0 : 1;\n };\n Munkres.prototype.__clear_covers = function() {\n for (var i = 0; i < this.n; ++i) {\n this.row_covered[i] = false;\n this.col_covered[i] = false;\n }\n };\n Munkres.prototype.__erase_primes = function() {\n for (var i = 0; i < this.n; ++i)\n for (var j = 0; j < this.n; ++j)\n if (this.marked[i][j] == 2)\n this.marked[i][j] = 0;\n };\n function make_cost_matrix(profit_matrix, inversion_function) {\n var i, j;\n if (!inversion_function) {\n var maximum = -1 / 0;\n for (i = 0; i < profit_matrix.length; ++i)\n for (j = 0; j < profit_matrix[i].length; ++j)\n if (profit_matrix[i][j] > maximum)\n maximum = profit_matrix[i][j];\n inversion_function = /* @__PURE__ */ __name(function(x) {\n return maximum - x;\n }, \"inversion_function\");\n }\n var cost_matrix = [];\n for (i = 0; i < profit_matrix.length; ++i) {\n var row = profit_matrix[i];\n cost_matrix[i] = [];\n for (j = 0; j < row.length; ++j)\n cost_matrix[i][j] = inversion_function(profit_matrix[i][j]);\n }\n return cost_matrix;\n }\n __name(make_cost_matrix, \"make_cost_matrix\");\n function format_matrix(matrix) {\n var columnWidths = [];\n var i, j;\n for (i = 0; i < matrix.length; ++i) {\n for (j = 0; j < matrix[i].length; ++j) {\n var entryWidth = String(matrix[i][j]).length;\n if (!columnWidths[j] || entryWidth >= columnWidths[j])\n columnWidths[j] = entryWidth;\n }\n }\n var formatted = \"\";\n for (i = 0; i < matrix.length; ++i) {\n for (j = 0; j < matrix[i].length; ++j) {\n var s = String(matrix[i][j]);\n while (s.length < columnWidths[j])\n s = \" \" + s;\n formatted += s;\n if (j != matrix[i].length - 1)\n formatted += \" \";\n }\n if (i != matrix[i].length - 1)\n formatted += \"\\n\";\n }\n return formatted;\n }\n __name(format_matrix, \"format_matrix\");\n function computeMunkres(cost_matrix, options) {\n var m = new Munkres();\n return m.compute(cost_matrix, options);\n }\n __name(computeMunkres, \"computeMunkres\");\n computeMunkres.version = \"1.2.2\";\n computeMunkres.format_matrix = format_matrix;\n computeMunkres.make_cost_matrix = make_cost_matrix;\n computeMunkres.Munkres = Munkres;\n if (typeof module !== \"undefined\" && module.exports) {\n module.exports = computeMunkres;\n }\n }\n});\n\n// tracker.js\nvar require_tracker = __commonJS({\n \"tracker.js\"(exports) {\n var itemTrackedModule = require_ItemTracked();\n var ItemTracked = itemTrackedModule.ItemTracked;\n var kdTree = require_kdTree_min().kdTree;\n var iouAreas = require_utils().iouAreas;\n var munkres = require_munkres();\n var DEBUG_MODE = false;\n var iouDistance = /* @__PURE__ */ __name(function(item1, item2) {\n var iou = iouAreas(item1, item2);\n var distance = 1 - iou;\n if (distance > 1 - params.iouLimit) {\n distance = params.distanceLimit + 1;\n }\n return distance;\n }, \"iouDistance\");\n var params = {\n // DEFAULT_UNMATCHEDFRAMES_TOLERANCE\n // This the number of frame we wait when an object isn't matched before considering it gone\n unMatchedFramesTolerance: 5,\n // DEFAULT_IOU_LIMIT, exclude things from beeing matched if their IOU is lower than this\n // 1 means total overlap whereas 0 means no overlap\n iouLimit: 0.05,\n // Remove new objects fast if they could not be matched in the next frames.\n // Setting this to false ensures the object will stick around at least\n // unMatchedFramesTolerance frames, even if they could neven be matched in\n // subsequent frames.\n fastDelete: true,\n // The function to use to determine the distance between to detected objects\n distanceFunc: iouDistance,\n // The distance limit for matching. If values need to be excluded from\n // matching set their distance to something greater than the distance limit\n distanceLimit: 1e4,\n // The algorithm used to match tracks with new detections. Can be either\n // 'kdTree' or 'munkres'.\n matchingAlgorithm: \"kdTree\"\n };\n var mapOfItemsTracked = /* @__PURE__ */ new Map();\n var mapOfAllItemsTracked = /* @__PURE__ */ new Map();\n var keepAllHistoryInMemory = false;\n exports.computeDistance = iouDistance;\n exports.updateTrackedItemsWithNewFrame = function(detectionsOfThisFrame, frameNb) {\n var treeItemsTracked = new kdTree(Array.from(mapOfItemsTracked.values()), params.distanceFunc, [\"x\", \"y\", \"w\", \"h\"]);\n var treeDetectionsOfThisFrame = new kdTree(detectionsOfThisFrame, params.distanceFunc, [\"x\", \"y\", \"w\", \"h\"]);\n if (mapOfItemsTracked.size === 0) {\n detectionsOfThisFrame.forEach(function(itemDetected) {\n var newItemTracked = new ItemTracked(itemDetected, frameNb, params.unMatchedFramesTolerance, params.fastDelete);\n mapOfItemsTracked.set(newItemTracked.id, newItemTracked);\n treeItemsTracked.insert(newItemTracked);\n });\n } else {\n var matchedList = new Array(detectionsOfThisFrame.length);\n matchedList.fill(false);\n if (detectionsOfThisFrame.length > 0) {\n if (params.matchingAlgorithm === \"munkres\") {\n var trackedItemIds = Array.from(mapOfItemsTracked.keys());\n var costMatrix = Array.from(mapOfItemsTracked.values()).map((itemTracked) => {\n var predictedPosition = itemTracked.predictNextPosition();\n return detectionsOfThisFrame.map(\n (detection) => params.distanceFunc(predictedPosition, detection)\n );\n });\n mapOfItemsTracked.forEach(function(itemTracked) {\n itemTracked.makeAvailable();\n });\n munkres(costMatrix).filter((m) => costMatrix[m[0]][m[1]] <= params.distanceLimit).forEach((m) => {\n var itemTracked = mapOfItemsTracked.get(trackedItemIds[m[0]]);\n var updatedTrackedItemProperties = detectionsOfThisFrame[m[1]];\n matchedList[m[1]] = { idDisplay: itemTracked.idDisplay };\n itemTracked.makeUnavailable().update(updatedTrackedItemProperties, frameNb);\n });\n matchedList.forEach(function(matched, index) {\n if (!matched) {\n if (Math.min(...costMatrix.map((m) => m[index])) > params.distanceLimit) {\n var newItemTracked = ItemTracked(detectionsOfThisFrame[index], frameNb, params.unMatchedFramesTolerance, params.fastDelete);\n mapOfItemsTracked.set(newItemTracked.id, newItemTracked);\n newItemTracked.makeUnavailable();\n costMatrix.push(detectionsOfThisFrame.map(\n (detection) => params.distanceFunc(newItemTracked, detection)\n ));\n }\n }\n });\n } else if (params.matchingAlgorithm === \"kdTree\") {\n mapOfItemsTracked.forEach(function(itemTracked) {\n var predictedPosition = itemTracked.predictNextPosition();\n itemTracked.makeAvailable();\n var treeSearchResult = treeDetectionsOfThisFrame.nearest(predictedPosition, 1, params.distanceLimit)[0];\n var treeSearchResultWithoutPrediction = treeDetectionsOfThisFrame.nearest(itemTracked, 1, params.distanceLimit)[0];\n var treeSearchMultipleResults = treeDetectionsOfThisFrame.nearest(predictedPosition, 2, params.distanceLimit);\n if (treeSearchResult) {\n var indexClosestNewDetectedItem = detectionsOfThisFrame.indexOf(treeSearchResult[0]);\n if (!matchedList[indexClosestNewDetectedItem]) {\n matchedList[indexClosestNewDetectedItem] = {\n idDisplay: itemTracked.idDisplay\n };\n var updatedTrackedItemProperties = detectionsOfThisFrame[indexClosestNewDetectedItem];\n mapOfItemsTracked.get(itemTracked.id).makeUnavailable().update(updatedTrackedItemProperties, frameNb);\n } else {\n }\n }\n });\n } else {\n throw `Unknown matching algorithm \"${params.matchingAlgorithm}\"`;\n }\n } else {\n if (DEBUG_MODE) {\n console.log(\"[Tracker] Nothing detected for frame n\\xBA\" + frameNb);\n }\n mapOfItemsTracked.forEach(function(itemTracked) {\n itemTracked.makeAvailable();\n });\n }\n if (params.matchingAlgorithm === \"kdTree\") {\n if (mapOfItemsTracked.size > 0) {\n treeItemsTracked = new kdTree(Array.from(mapOfItemsTracked.values()), params.distanceFunc, [\"x\", \"y\", \"w\", \"h\"]);\n matchedList.forEach(function(matched, index) {\n if (!matched) {\n var treeSearchResult = treeItemsTracked.nearest(detectionsOfThisFrame[index], 1, params.distanceLimit)[0];\n if (!treeSearchResult) {\n var newItemTracked = ItemTracked(detectionsOfThisFrame[index], frameNb, params.unMatchedFramesTolerance, params.fastDelete);\n mapOfItemsTracked.set(newItemTracked.id, newItemTracked);\n treeItemsTracked.insert(newItemTracked);\n newItemTracked.makeUnavailable();\n } else {\n }\n }\n });\n }\n }\n mapOfItemsTracked.forEach(function(itemTracked) {\n if (itemTracked.available) {\n itemTracked.countDown(frameNb);\n itemTracked.updateTheoricalPositionAndSize();\n if (itemTracked.isDead()) {\n mapOfItemsTracked.delete(itemTracked.id);\n treeItemsTracked.remove(itemTracked);\n if (keepAllHistoryInMemory) {\n mapOfAllItemsTracked.set(itemTracked.id, itemTracked);\n }\n }\n }\n });\n }\n };\n exports.reset = function() {\n mapOfItemsTracked = /* @__PURE__ */ new Map();\n mapOfAllItemsTracked = /* @__PURE__ */ new Map();\n itemTrackedModule.reset();\n };\n exports.setParams = function(newParams) {\n Object.keys(newParams).forEach((key) => {\n params[key] = newParams[key];\n });\n };\n exports.enableKeepInMemory = function() {\n keepAllHistoryInMemory = true;\n };\n exports.disableKeepInMemory = function() {\n keepAllHistoryInMemory = false;\n };\n exports.getJSONOfTrackedItems = function(roundInt = true) {\n return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) {\n return itemTracked.toJSON(roundInt);\n });\n };\n exports.getJSONDebugOfTrackedItems = function(roundInt = true) {\n return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) {\n return itemTracked.toJSONDebug(roundInt);\n });\n };\n exports.getTrackedItemsInMOTFormat = function(frameNb) {\n return Array.from(mapOfItemsTracked.values()).map(function(itemTracked) {\n return itemTracked.toMOT(frameNb);\n });\n };\n exports.getAllTrackedItems = function() {\n return mapOfAllItemsTracked;\n };\n exports.getJSONOfAllTrackedItems = function() {\n return Array.from(mapOfAllItemsTracked.values()).map(function(itemTracked) {\n return itemTracked.toJSONGenericInfo();\n });\n };\n }\n});\nexport default require_tracker();\n/**\n * k-d Tree JavaScript - V 1.01\n *\n * https://github.com/ubilabs/kd-tree-javascript\n *\n * @author Mircea Pricop , 2012\n * @author Martin Kleppe , 2012\n * @author Ubilabs http://ubilabs.net, 2012\n * @license MIT License \n */\n"], - "mappings": ";;;;;;AASA,UAAYA,MAAO,0BCRnB,IAAIC,EAAY,OAAO,eACnBC,EAAoB,OAAO,oBAC3BC,EAAS,CAACC,EAAQC,IAAUJ,EAAUG,EAAQ,OAAQ,CAAE,MAAAC,EAAO,aAAc,EAAK,CAAC,EACnFC,EAAa,CAACC,EAAIC,IAAQ,UAAqB,CACjD,OAAOA,MAAWD,EAAGL,EAAkBK,CAAE,EAAE,CAAC,CAAC,IAAIC,EAAM,CAAE,QAAS,CAAC,CAAE,GAAG,QAASA,CAAG,EAAGA,EAAI,OAC7F,EAGIC,EAAsBH,EAAW,CACnC,qEAAqEI,EAASC,EAAQ,CACpF,IAAIC,EAAkB,OAAO,QAAU,aAAe,OAAO,gBAAgB,KAAK,MAAM,GAAK,OAAO,UAAY,aAAe,SAAS,gBAAgB,KAAK,QAAQ,EACjKA,GACFC,EAAQ,IAAI,WAAW,EAAE,EACzBF,EAAO,QAA0BR,EAAO,UAAqB,CAC3D,OAAAS,EAAgBC,CAAK,EACdA,CACT,EAAG,WAAW,IAEdC,EAAO,IAAI,MAAM,EAAE,EACnBH,EAAO,QAA0BR,EAAO,UAAmB,CACzD,QAASY,EAAI,EAAGC,EAAGD,EAAI,GAAIA,IACpBA,EAAI,IACPC,EAAI,KAAK,OAAO,EAAI,YACtBF,EAAKC,CAAC,EAAIC,MAAQD,EAAI,IAAM,GAAK,IAEnC,OAAOD,CACT,EAAG,SAAS,GAEd,IAAID,EACAC,CACN,CACF,CAAC,EAGGG,EAAsBX,EAAW,CACnC,qEAAqEI,EAASC,EAAQ,CACpF,IAAIO,EAAY,CAAC,EACjB,IAAKH,EAAI,EAAGA,EAAI,IAAK,EAAEA,EACrBG,EAAUH,CAAC,GAAKA,EAAI,KAAK,SAAS,EAAE,EAAE,OAAO,CAAC,EAEhD,SAASI,EAAYC,EAAKC,EAAQ,CAChC,IAAIC,EAAKD,GAAU,EACfE,EAAML,EACV,OAAOK,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAI,IAAMC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAI,IAAMC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAI,IAAMC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAI,IAAMC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,EAAIC,EAAIH,EAAIE,GAAI,CAAC,CAC7S,CACAnB,EAAOgB,EAAa,aAAa,EACjCR,EAAO,QAAUQ,EACjB,IAAIJ,CACN,CACF,CAAC,EAGGS,EAAalB,EAAW,CAC1B,wDAAwDI,EAASC,EAAQ,CACvE,IAAIc,EAAMhB,EAAoB,EAC1BU,EAAcF,EAAoB,EACtC,SAASS,EAAGC,EAASP,EAAKC,EAAQ,CAChC,IAAIN,EAAIK,GAAOC,GAAU,EACrB,OAAOM,GAAW,WACpBP,EAAMO,IAAY,SAAW,IAAI,MAAM,EAAE,EAAI,KAC7CA,EAAU,MAEZA,EAAUA,GAAW,CAAC,EACtB,IAAIb,EAAOa,EAAQ,SAAWA,EAAQ,KAAOF,GAAK,EAGlD,GAFAX,EAAK,CAAC,EAAIA,EAAK,CAAC,EAAI,GAAK,GACzBA,EAAK,CAAC,EAAIA,EAAK,CAAC,EAAI,GAAK,IACrBM,EACF,QAASQ,EAAK,EAAGA,EAAK,GAAI,EAAEA,EAC1BR,EAAIL,EAAIa,CAAE,EAAId,EAAKc,CAAE,EAGzB,OAAOR,GAAOD,EAAYL,CAAI,CAChC,CACAX,EAAOuB,EAAI,IAAI,EACff,EAAO,QAAUe,CACnB,CACF,CAAC,EAGGG,EAAgBvB,EAAW,CAC7B,WAAWI,EAAS,CAClBA,EAAQ,oBAAsB,CAACoB,EAAYC,IACrCD,EAAW,GAAKC,EAMtB,IAAIC,EAA+B7B,EAAO,CAAC8B,EAAMC,IAAU,CACzD,IAAMC,EAAOF,EAAK,EAAIA,EAAK,EAAI,EACzBG,EAAOH,EAAK,EAAIA,EAAK,EAAI,EACzBI,EAAOJ,EAAK,EAAIA,EAAK,EAAI,EACzBK,EAAOL,EAAK,EAAIA,EAAK,EAAI,EAC/B,OAAIC,EAAM,GAAKC,GAAQD,EAAM,GAAKE,GAAQF,EAAM,GAAKG,GAAQH,EAAM,GAAKI,CAK1E,EAAG,cAAc,EACjB5B,EAAQ,aAAesB,EACvBtB,EAAQ,kBAAoB,CAAC6B,EAAOL,IACjBK,EAAM,KAAMN,GAASD,EAAaC,EAAMC,CAAK,CAAC,EAGjExB,EAAQ,yBAA2B,CAACoB,EAAYU,IACvCV,EAAW,OAAQW,GAAcD,EAAgB,QAAQC,EAAU,IAAI,EAAI,EAAE,EAEtF,IAAIC,EAAoCvC,EAAQwC,IACvC,CACL,GAAIA,EAAK,EAAIA,EAAK,EAAI,EACtB,GAAIA,EAAK,EAAIA,EAAK,EAAI,EACtB,GAAIA,EAAK,EAAIA,EAAK,EAAI,EACtB,GAAIA,EAAK,EAAIA,EAAK,EAAI,CACxB,GACC,mBAAmB,EACtBjC,EAAQ,kBAAoBgC,EAC5BhC,EAAQ,SAAW,CAACkC,EAAOC,IAAU,CACnC,IAAIC,EAAQJ,EAAkBE,CAAK,EAC/BG,EAAQL,EAAkBG,CAAK,EAC/BG,EAAa,KAAK,IAAIF,EAAM,GAAIC,EAAM,EAAE,EACxCE,EAAa,KAAK,IAAIH,EAAM,GAAIC,EAAM,EAAE,EACxCG,EAAa,KAAK,IAAIJ,EAAM,GAAIC,EAAM,EAAE,EACxCI,EAAa,KAAK,IAAIL,EAAM,GAAIC,EAAM,EAAE,EAC5C,GAAIG,EAAaF,GAAc,GAAKG,EAAaF,GAAc,EAC7D,MAAO,GACF,CACL,IAAMG,EAAaR,EAAM,EAAIA,EAAM,EAC7BS,EAAaR,EAAM,EAAIA,EAAM,EAC7BS,GAAqBJ,EAAaF,IAAeG,EAAaF,GAC9DM,EAAaH,EAAaC,EAAaC,EAC7C,OAAOA,EAAoBC,EAE/B,EACA7C,EAAQ,sBAAwB,CAACkC,EAAOC,EAAOW,KACtC,CACL,IAAKX,EAAM,EAAID,EAAM,GAAKY,EAC1B,IAAKX,EAAM,EAAID,EAAM,GAAKY,CAC5B,GAEF9C,EAAQ,oBAAsB,SAAS+C,EAAIC,EAAI,CAC7C,IAAIC,EAAQ,KAAK,KAAKF,EAAKC,CAAE,GAAK,KAAK,GAAK,KAC5C,OAAIC,EAAQ,EACND,EAAK,EACAC,EAEA,IAAMA,EAEXF,EAAK,EACA,IAAME,EAEN,IAAMA,CAEnB,CACF,CACF,CAAC,EAGGC,EAAsBtD,EAAW,CACnC,iBAAiBI,EAAS,CACxB,IAAImD,EAASrC,EAAW,EACpBsC,EAAsBjC,EAAc,EAAE,oBACtCkC,EAAwBlC,EAAc,EAAE,sBAC5CnB,EAAQ,wBAA0B,GAClC,IAAIsD,EAAY,EAChBtD,EAAQ,YAAc,SAASuD,EAAYC,EAASC,EAA0BC,EAAY,CACxF,IAAIC,EAAoCF,EACpCG,EAAc,CAAC,EACnB,OAAAA,EAAY,UAAY,GACxBA,EAAY,OAAS,GACrBA,EAAY,WAAaF,EACzBE,EAAY,8BAAgCH,EAC5CG,EAAY,SAAW,GACvBA,EAAY,YAAcJ,EAC1BI,EAAY,eAAiB,KAC7BA,EAAY,cAAgB,CAAC,EAC7BA,EAAY,UAAY,CAAC,EACzBA,EAAY,UAAUL,EAAW,IAAI,EAAI,EACzCK,EAAY,EAAIL,EAAW,EAC3BK,EAAY,EAAIL,EAAW,EAC3BK,EAAY,EAAIL,EAAW,EAC3BK,EAAY,EAAIL,EAAW,EAC3BK,EAAY,KAAOL,EAAW,KAC9BK,EAAY,WAAaL,EAAW,WACpCK,EAAY,YAAc,CAAC,EAC3BA,EAAY,YAAY,KAAK,CAC3B,EAAGL,EAAW,EACd,EAAGA,EAAW,EACd,EAAGA,EAAW,EACd,EAAGA,EAAW,EACd,WAAYA,EAAW,UACzB,CAAC,EACGK,EAAY,YAAY,QAAU5D,EAAQ,yBAC5C4D,EAAY,YAAY,MAAM,EAEhCA,EAAY,SAAW,CACrB,GAAI,EACJ,GAAI,CACN,EACAA,EAAY,cAAgB,EAC5BA,EAAY,GAAKT,EAAO,EACxBS,EAAY,UAAYN,EACxBA,IACAM,EAAY,OAAS,SAASC,EAAaC,EAAU,CAC/C,KAAK,iBACP,KAAK,eAAiB,KACtB,KAAK,cAAgB,CAAC,GAExB,KAAK,SAAW,GAChB,KAAK,eAAiB,EACtB,KAAK,EAAID,EAAY,EACrB,KAAK,EAAIA,EAAY,EACrB,KAAK,EAAIA,EAAY,EACrB,KAAK,EAAIA,EAAY,EACrB,KAAK,WAAaA,EAAY,WAC9B,KAAK,YAAY,KAAK,CACpB,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,EACR,WAAY,KAAK,UACnB,CAAC,EACGD,EAAY,YAAY,QAAU5D,EAAQ,yBAC5C4D,EAAY,YAAY,MAAM,EAEhC,KAAK,KAAOC,EAAY,KACpB,KAAK,UAAUA,EAAY,IAAI,EACjC,KAAK,UAAUA,EAAY,IAAI,IAE/B,KAAK,UAAUA,EAAY,IAAI,EAAI,EAErC,KAAK,8BAAgCF,EACrC,KAAK,SAAW,KAAK,qBAAqB,CAC5C,EACAC,EAAY,cAAgB,UAAW,CACrC,YAAK,UAAY,GACV,IACT,EACAA,EAAY,gBAAkB,UAAW,CACvC,YAAK,UAAY,GACV,IACT,EACAA,EAAY,UAAY,SAASE,EAAU,CACrC,KAAK,iBAAmB,OAC1B,KAAK,eAAiBA,EACtB,KAAK,cAAgB,CACnB,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,CACV,GAEF,KAAK,gCACL,KAAK,SAAW,GACZ,KAAK,YAAc,KAAK,eAAiB,IAC3C,KAAK,8BAAgC,GAEzC,EACAF,EAAY,+BAAiC,UAAW,CACtD,KAAK,YAAY,KAAK,CACpB,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,EACR,EAAG,KAAK,EACR,WAAY,KAAK,UACnB,CAAC,EACGA,EAAY,YAAY,QAAU5D,EAAQ,yBAC5C4D,EAAY,YAAY,MAAM,EAEhC,KAAK,EAAI,KAAK,EAAI,KAAK,SAAS,GAChC,KAAK,EAAI,KAAK,EAAI,KAAK,SAAS,EAClC,EACAA,EAAY,oBAAsB,UAAW,CAC3C,MAAO,CACL,EAAG,KAAK,EAAI,KAAK,SAAS,GAC1B,EAAG,KAAK,EAAI,KAAK,SAAS,GAC1B,EAAG,KAAK,EACR,EAAG,KAAK,CACV,CACF,EACAA,EAAY,OAAS,UAAW,CAC9B,OAAO,KAAK,8BAAgC,CAC9C,EACAA,EAAY,qBAAuB,UAAW,CAC5C,GAAI5D,EAAQ,yBAA2B,EACrC,MAAO,CAAE,GAAI,OAAQ,GAAI,MAAO,EAElC,GAAI,KAAK,YAAY,QAAUA,EAAQ,wBAAyB,CAC9D,IAAM+D,EAAQ,KAAK,YAAY,CAAC,EAC1BC,EAAM,KAAK,YAAY,KAAK,YAAY,OAAS,CAAC,EACxD,OAAOX,EAAsBU,EAAOC,EAAK,KAAK,YAAY,MAAM,MAC3D,CACL,IAAMD,EAAQ,KAAK,YAAY,KAAK,YAAY,OAAS/D,EAAQ,uBAAuB,EAClFgE,EAAM,KAAK,YAAY,KAAK,YAAY,OAAS,CAAC,EACxD,OAAOX,EAAsBU,EAAOC,EAAKhE,EAAQ,uBAAuB,EAE5E,EACA4D,EAAY,qBAAuB,UAAW,CAC5C,IAAIK,EAA8B,EAC9BC,EAAoB,GACxB,cAAO,KAAK,KAAK,SAAS,EAAE,IAAKC,GAAS,CACpC,KAAK,UAAUA,CAAI,EAAIF,IACzBC,EAAoBC,EACpBF,EAA8B,KAAK,UAAUE,CAAI,EAErD,CAAC,EACMD,CACT,EACAN,EAAY,YAAc,SAASQ,EAAW,GAAM,CAClD,MAAO,CACL,GAAI,KAAK,GACT,UAAW,KAAK,UAChB,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,WAAY,KAAK,MAAM,KAAK,WAAa,GAAG,EAAI,IAEhD,QAAS,SAAShB,EAAoB,KAAK,SAAS,GAAI,CAAC,KAAK,SAAS,EAAE,CAAC,EAC1E,KAAM,KAAK,qBAAqB,EAChC,SAAU,KAAK,SACf,YAAa,KAAK,YAClB,eAAgB,KAAK,cACvB,CACF,EACAQ,EAAY,OAAS,SAASQ,EAAW,GAAM,CAC7C,MAAO,CACL,GAAI,KAAK,UACT,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,EAAGA,EAAW,SAAS,KAAK,EAAG,EAAE,EAAI,KAAK,EAC1C,WAAY,KAAK,MAAM,KAAK,WAAa,GAAG,EAAI,IAEhD,QAAS,SAAShB,EAAoB,KAAK,SAAS,GAAI,CAAC,KAAK,SAAS,EAAE,EAAG,EAAE,EAC9E,KAAM,KAAK,qBAAqB,EAChC,SAAU,KAAK,QACjB,CACF,EACAQ,EAAY,MAAQ,SAASS,EAAY,CACvC,MAAO,GAAGA,KAAc,KAAK,aAAa,KAAK,EAAI,KAAK,EAAI,KAAK,KAAK,EAAI,KAAK,EAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,WAAa,cAChI,EACAT,EAAY,kBAAoB,UAAW,CACzC,MAAO,CACL,GAAI,KAAK,GACT,UAAW,KAAK,UAChB,YAAa,KAAK,YAClB,eAAgB,KAAK,eACrB,cAAe,KAAK,cACpB,cAAe,KAAK,eAAiB,KAAK,YAC1C,KAAM,KAAK,qBAAqB,CAClC,CACF,EACOA,CACT,EACA5D,EAAQ,MAAQ,UAAW,CACzBsD,EAAY,CACd,CACF,CACF,CAAC,EAGGgB,EAAqB1E,EAAW,CAClC,oBAAoBI,EAAS,EAC1B,SAASuE,EAAMC,EAAS,CACnB,OAAO,QAAW,YAAc,OAAO,IACzC,OAAO,CAAC,SAAS,EAAGA,CAAO,EAE3BA,EADS,OAAOxE,GAAY,SACpBA,EAEAuE,CAFO,CAInB,GAAGvE,EAAS,SAASyE,EAAU,CAC7B,SAASC,EAAKC,EAAKC,EAAWC,EAAQ,CACpC,KAAK,IAAMF,EACX,KAAK,KAAO,KACZ,KAAK,MAAQ,KACb,KAAK,OAASE,EACd,KAAK,UAAYD,CACnB,CACAnF,EAAOiF,EAAM,MAAM,EACnB,SAASI,EAAOC,EAAQC,EAAQC,EAAY,CAC1C,IAAIC,EAAO,KACX,SAASC,EAAUC,EAASC,EAAOR,EAAQ,CACzC,IAAIS,EAAMD,EAAQJ,EAAW,OAAQM,EAAQC,EAC7C,OAAIJ,EAAQ,SAAW,EACd,KAELA,EAAQ,SAAW,EACd,IAAIV,EAAKU,EAAQ,CAAC,EAAGE,EAAKT,CAAM,GAEzCO,EAAQ,KAAK,SAASK,EAAGC,EAAG,CAC1B,OAAOD,EAAER,EAAWK,CAAG,CAAC,EAAII,EAAET,EAAWK,CAAG,CAAC,CAC/C,CAAC,EACDC,EAAS,KAAK,MAAMH,EAAQ,OAAS,CAAC,EACtCI,EAAO,IAAId,EAAKU,EAAQG,CAAM,EAAGD,EAAKT,CAAM,EAC5CW,EAAK,KAAOL,EAAUC,EAAQ,MAAM,EAAGG,CAAM,EAAGF,EAAQ,EAAGG,CAAI,EAC/DA,EAAK,MAAQL,EAAUC,EAAQ,MAAMG,EAAS,CAAC,EAAGF,EAAQ,EAAGG,CAAI,EAC1DA,EACT,CACA/F,EAAO0F,EAAW,WAAW,EAC7B,SAASQ,EAASC,EAAM,CACtBV,EAAK,KAAOU,EACZ,SAASC,EAActB,EAAM,CACvBA,EAAK,OACPA,EAAK,KAAK,OAASA,EACnBsB,EAActB,EAAK,IAAI,GAErBA,EAAK,QACPA,EAAK,MAAM,OAASA,EACpBsB,EAActB,EAAK,KAAK,EAE5B,CACA9E,EAAOoG,EAAe,eAAe,EACrCA,EAAcX,EAAK,IAAI,CACzB,CACAzF,EAAOkG,EAAU,UAAU,EACtB,MAAM,QAAQZ,CAAM,EAGvB,KAAK,KAAOI,EAAUJ,EAAQ,EAAG,IAAI,EAFrCY,EAASZ,EAAQC,EAAQC,CAAU,EAGrC,KAAK,OAAS,SAASa,EAAK,CACrBA,IACHA,EAAM,KAAK,MACb,IAAIC,EAAO,IAAIrB,EAAKoB,EAAI,IAAKA,EAAI,UAAW,IAAI,EAChD,OAAIA,EAAI,OACNC,EAAK,KAAOb,EAAK,OAAOY,EAAI,IAAI,GAC9BA,EAAI,QACNC,EAAK,MAAQb,EAAK,OAAOY,EAAI,KAAK,GAC7BC,CACT,EACA,KAAK,OAAS,SAASvE,EAAO,CAC5B,SAASwE,EAAYR,EAAMX,EAAQ,CACjC,GAAIW,IAAS,KACX,OAAOX,EAET,IAAIoB,EAAahB,EAAWO,EAAK,SAAS,EAC1C,OAAIhE,EAAMyE,CAAU,EAAIT,EAAK,IAAIS,CAAU,EAClCD,EAAYR,EAAK,KAAMA,CAAI,EAE3BQ,EAAYR,EAAK,MAAOA,CAAI,CAEvC,CACA/F,EAAOuG,EAAa,aAAa,EACjC,IAAIE,EAAiBF,EAAY,KAAK,KAAM,IAAI,EAAGG,EAASvB,EAC5D,GAAIsB,IAAmB,KAAM,CAC3B,KAAK,KAAO,IAAIxB,EAAKlD,EAAO,EAAG,IAAI,EACnC,OAEF2E,EAAU,IAAIzB,EAAKlD,GAAQ0E,EAAe,UAAY,GAAKjB,EAAW,OAAQiB,CAAc,EAC5FtB,EAAYK,EAAWiB,EAAe,SAAS,EAC3C1E,EAAMoD,CAAS,EAAIsB,EAAe,IAAItB,CAAS,EACjDsB,EAAe,KAAOC,EAEtBD,EAAe,MAAQC,CAE3B,EACA,KAAK,OAAS,SAAS3E,EAAO,CAC5B,IAAIgE,EACJ,SAASY,EAAWC,EAAO,CACzB,GAAIA,IAAU,KACZ,OAAO,KAET,GAAIA,EAAM,MAAQ7E,EAChB,OAAO6E,EAET,IAAIzB,EAAYK,EAAWoB,EAAM,SAAS,EAC1C,OAAI7E,EAAMoD,CAAS,EAAIyB,EAAM,IAAIzB,CAAS,EACjCwB,EAAWC,EAAM,KAAMA,CAAK,EAE5BD,EAAWC,EAAM,MAAOA,CAAK,CAExC,CACA5G,EAAO2G,EAAY,YAAY,EAC/B,SAASE,EAAWD,EAAO,CACzB,IAAIE,EAAUC,EAASC,EACvB,SAASC,EAAQC,EAAOrB,EAAK,CAC3B,IAAIV,EAAWgC,EAAKC,EAAMC,EAAOC,EACjC,OAAIJ,IAAU,KACL,MAET/B,EAAYK,EAAWK,CAAG,EACtBqB,EAAM,YAAcrB,EAClBqB,EAAM,OAAS,KACVD,EAAQC,EAAM,KAAMrB,CAAG,EAEzBqB,GAETC,EAAMD,EAAM,IAAI/B,CAAS,EACzBiC,EAAOH,EAAQC,EAAM,KAAMrB,CAAG,EAC9BwB,EAAQJ,EAAQC,EAAM,MAAOrB,CAAG,EAChCyB,EAAMJ,EACFE,IAAS,MAAQA,EAAK,IAAIjC,CAAS,EAAIgC,IACzCG,EAAMF,GAEJC,IAAU,MAAQA,EAAM,IAAIlC,CAAS,EAAImC,EAAI,IAAInC,CAAS,IAC5DmC,EAAMD,GAEDC,GACT,CAEA,GADAtH,EAAOiH,EAAS,SAAS,EACrBL,EAAM,OAAS,MAAQA,EAAM,QAAU,KAAM,CAC/C,GAAIA,EAAM,SAAW,KAAM,CACzBnB,EAAK,KAAO,KACZ,OAEFuB,EAAaxB,EAAWoB,EAAM,OAAO,SAAS,EAC1CA,EAAM,IAAII,CAAU,EAAIJ,EAAM,OAAO,IAAII,CAAU,EACrDJ,EAAM,OAAO,KAAO,KAEpBA,EAAM,OAAO,MAAQ,KAEvB,OAEEA,EAAM,QAAU,MAClBE,EAAWG,EAAQL,EAAM,MAAOA,EAAM,SAAS,EAC/CG,EAAUD,EAAS,IACnBD,EAAWC,CAAQ,EACnBF,EAAM,IAAMG,IAEZD,EAAWG,EAAQL,EAAM,KAAMA,EAAM,SAAS,EAC9CG,EAAUD,EAAS,IACnBD,EAAWC,CAAQ,EACnBF,EAAM,MAAQA,EAAM,KACpBA,EAAM,KAAO,KACbA,EAAM,IAAMG,EAEhB,CACA/G,EAAO6G,EAAY,YAAY,EAC/Bd,EAAOY,EAAWlB,EAAK,IAAI,EACvBM,IAAS,MAGbc,EAAWd,CAAI,CACjB,EACA,KAAK,QAAU,SAAShE,EAAOwF,EAAUC,EAAa,CACpD,IAAI5G,EAAG6G,EAAQC,EACfA,EAAY,IAAIC,EACd,SAASC,EAAG,CACV,MAAO,CAACA,EAAE,CAAC,CACb,CACF,EACA,SAASC,EAAc9B,EAAM,CAC3B,IAAI+B,EAAW3C,EAAYK,EAAWO,EAAK,SAAS,EAAGgC,EAAcxC,EAAOxD,EAAOgE,EAAK,GAAG,EAAGiC,EAAc,CAAC,EAAGC,EAAgBC,EAAY/G,EAC5I,SAASgH,EAASvB,EAAOwB,EAAU,CACjCV,EAAU,KAAK,CAACd,EAAOwB,CAAQ,CAAC,EAC5BV,EAAU,KAAK,EAAIH,GACrBG,EAAU,IAAI,CAElB,CAEA,IADA1H,EAAOmI,EAAU,UAAU,EACtBhH,EAAK,EAAGA,EAAKqE,EAAW,OAAQrE,GAAM,EACrCA,IAAO4E,EAAK,UACdiC,EAAYxC,EAAWrE,CAAE,CAAC,EAAIY,EAAMyD,EAAWrE,CAAE,CAAC,EAElD6G,EAAYxC,EAAWrE,CAAE,CAAC,EAAI4E,EAAK,IAAIP,EAAWrE,CAAE,CAAC,EAIzD,GADA8G,EAAiB1C,EAAOyC,EAAajC,EAAK,GAAG,EACzCA,EAAK,QAAU,MAAQA,EAAK,OAAS,KAAM,EACzC2B,EAAU,KAAK,EAAIH,GAAYQ,EAAcL,EAAU,KAAK,EAAE,CAAC,IACjES,EAASpC,EAAMgC,CAAW,EAE5B,OAEEhC,EAAK,QAAU,KACjB+B,EAAY/B,EAAK,KACRA,EAAK,OAAS,KACvB+B,EAAY/B,EAAK,MAEbhE,EAAMoD,CAAS,EAAIY,EAAK,IAAIZ,CAAS,EACvC2C,EAAY/B,EAAK,KAEjB+B,EAAY/B,EAAK,MAGrB8B,EAAcC,CAAS,GACnBJ,EAAU,KAAK,EAAIH,GAAYQ,EAAcL,EAAU,KAAK,EAAE,CAAC,IACjES,EAASpC,EAAMgC,CAAW,GAExBL,EAAU,KAAK,EAAIH,GAAY,KAAK,IAAIU,CAAc,EAAIP,EAAU,KAAK,EAAE,CAAC,KAC1EI,IAAc/B,EAAK,KACrBmC,EAAanC,EAAK,MAElBmC,EAAanC,EAAK,KAEhBmC,IAAe,MACjBL,EAAcK,CAAU,EAG9B,CAEA,GADAlI,EAAO6H,EAAe,eAAe,EACjCL,EACF,IAAK5G,EAAI,EAAGA,EAAI2G,EAAU3G,GAAK,EAC7B8G,EAAU,KAAK,CAAC,KAAMF,CAAW,CAAC,EAMtC,IAHI/B,EAAK,MACPoC,EAAcpC,EAAK,IAAI,EACzBgC,EAAS,CAAC,EACL7G,EAAI,EAAGA,EAAI,KAAK,IAAI2G,EAAUG,EAAU,QAAQ,MAAM,EAAG9G,GAAK,EAC7D8G,EAAU,QAAQ9G,CAAC,EAAE,CAAC,GACxB6G,EAAO,KAAK,CAACC,EAAU,QAAQ9G,CAAC,EAAE,CAAC,EAAE,IAAK8G,EAAU,QAAQ9G,CAAC,EAAE,CAAC,CAAC,CAAC,EAGtE,OAAO6G,CACT,EACA,KAAK,cAAgB,UAAW,CAC9B,SAASY,EAAOtC,EAAM,CACpB,OAAIA,IAAS,KACJ,EAEF,KAAK,IAAIsC,EAAOtC,EAAK,IAAI,EAAGsC,EAAOtC,EAAK,KAAK,CAAC,EAAI,CAC3D,CACA/F,EAAOqI,EAAQ,QAAQ,EACvB,SAASC,EAAMvC,EAAM,CACnB,OAAIA,IAAS,KACJ,EAEFuC,EAAMvC,EAAK,IAAI,EAAIuC,EAAMvC,EAAK,KAAK,EAAI,CAChD,CACA,OAAA/F,EAAOsI,EAAO,OAAO,EACdD,EAAO5C,EAAK,IAAI,GAAK,KAAK,IAAI6C,EAAM7C,EAAK,IAAI,CAAC,EAAI,KAAK,IAAI,CAAC,EACrE,CACF,CACAzF,EAAOqF,EAAQ,QAAQ,EACvB,SAASsC,EAAWY,EAAe,CACjC,KAAK,QAAU,CAAC,EAChB,KAAK,cAAgBA,CACvB,CACAvI,EAAO2H,EAAY,YAAY,EAC/BA,EAAW,UAAY,CACrB,KAAM,SAASa,EAAS,CACtB,KAAK,QAAQ,KAAKA,CAAO,EACzB,KAAK,SAAS,KAAK,QAAQ,OAAS,CAAC,CACvC,EACA,IAAK,UAAW,CACd,IAAIf,EAAS,KAAK,QAAQ,CAAC,EACvBlD,EAAM,KAAK,QAAQ,IAAI,EAC3B,OAAI,KAAK,QAAQ,OAAS,IACxB,KAAK,QAAQ,CAAC,EAAIA,EAClB,KAAK,SAAS,CAAC,GAEVkD,CACT,EACA,KAAM,UAAW,CACf,OAAO,KAAK,QAAQ,CAAC,CACvB,EACA,OAAQ,SAAS1B,EAAM,CAErB,QADI0C,EAAM,KAAK,QAAQ,OACd7H,EAAI,EAAGA,EAAI6H,EAAK7H,IACvB,GAAI,KAAK,QAAQA,CAAC,GAAKmF,EAAM,CAC3B,IAAIxB,EAAM,KAAK,QAAQ,IAAI,EACvB3D,GAAK6H,EAAM,IACb,KAAK,QAAQ7H,CAAC,EAAI2D,EACd,KAAK,cAAcA,CAAG,EAAI,KAAK,cAAcwB,CAAI,EACnD,KAAK,SAASnF,CAAC,EAEf,KAAK,SAASA,CAAC,GAEnB,OAGJ,MAAM,IAAI,MAAM,iBAAiB,CACnC,EACA,KAAM,UAAW,CACf,OAAO,KAAK,QAAQ,MACtB,EACA,SAAU,SAAS8H,EAAG,CAEpB,QADIF,EAAU,KAAK,QAAQE,CAAC,EACrBA,EAAI,GAAG,CACZ,IAAIC,EAAU,KAAK,OAAOD,EAAI,GAAK,CAAC,EAAI,EAAGtD,EAAS,KAAK,QAAQuD,CAAO,EACxE,GAAI,KAAK,cAAcH,CAAO,EAAI,KAAK,cAAcpD,CAAM,EACzD,KAAK,QAAQuD,CAAO,EAAIH,EACxB,KAAK,QAAQE,CAAC,EAAItD,EAClBsD,EAAIC,MAEJ,OAGN,EACA,SAAU,SAASD,EAAG,CAEpB,QADIE,EAAS,KAAK,QAAQ,OAAQJ,EAAU,KAAK,QAAQE,CAAC,EAAGG,EAAY,KAAK,cAAcL,CAAO,IACtF,CACX,IAAIM,GAAWJ,EAAI,GAAK,EAAGK,EAAUD,EAAU,EAC3CE,EAAO,KACX,GAAID,EAAUH,EAAQ,CACpB,IAAIK,EAAS,KAAK,QAAQF,CAAO,EAAGG,EAAc,KAAK,cAAcD,CAAM,EACvEC,EAAcL,IAChBG,EAAOD,GAEX,GAAID,EAAUF,EAAQ,CACpB,IAAIO,EAAS,KAAK,QAAQL,CAAO,EAAGM,EAAc,KAAK,cAAcD,CAAM,EACvEC,GAAeJ,GAAQ,KAAOH,EAAYK,KAC5CF,EAAOF,GAGX,GAAIE,GAAQ,KACV,KAAK,QAAQN,CAAC,EAAI,KAAK,QAAQM,CAAI,EACnC,KAAK,QAAQA,CAAI,EAAIR,EACrBE,EAAIM,MAEJ,OAGN,CACF,EACAhE,EAAS,OAASK,EAClBL,EAAS,WAAa2C,CACxB,CAAC,CACH,CACF,CAAC,EAGG0B,EAAkBlJ,EAAW,CAC/B,yEAAyEI,EAASC,EAAQ,CACxF,IAAI8I,EAAW,SAAS,OAAO,iBAAmB,CAAC,GAAM,iBACrDC,EAAoB,EACxB,SAASC,GAAU,CACjB,KAAK,EAAI,KACT,KAAK,YAAc,CAAC,EACpB,KAAK,YAAc,CAAC,EACpB,KAAK,EAAI,EACT,KAAK,KAAO,EACZ,KAAK,KAAO,EACZ,KAAK,OAAS,KACd,KAAK,KAAO,IACd,CACAxJ,EAAOwJ,EAAS,SAAS,EACzBA,EAAQ,UAAU,WAAa,SAASC,EAAQC,EAAW,CACzDA,EAAYA,GAAaH,EACzB,IAAII,EAAc,EACdC,EAAaH,EAAO,OACpB7I,EACJ,IAAKA,EAAI,EAAGA,EAAIgJ,EAAY,EAAEhJ,EACxB6I,EAAO7I,CAAC,EAAE,OAAS+I,IACrBA,EAAcF,EAAO7I,CAAC,EAAE,QAC5BgJ,EAAaD,EAAcC,EAAaD,EAAcC,EACtD,IAAIC,EAAa,CAAC,EAClB,IAAKjJ,EAAI,EAAGA,EAAIgJ,EAAY,EAAEhJ,EAAG,CAG/B,QAFIkJ,EAAML,EAAO7I,CAAC,GAAK,CAAC,EACpBmJ,EAAUD,EAAI,MAAM,EACjBF,EAAaG,EAAQ,QAC1BA,EAAQ,KAAKL,CAAS,EACxBG,EAAW,KAAKE,CAAO,EAEzB,OAAOF,CACT,EACAL,EAAQ,UAAU,QAAU,SAASQ,EAAaxI,EAAS,CACzDA,EAAUA,GAAW,CAAC,EACtBA,EAAQ,SAAWA,EAAQ,UAAY+H,EACvC,KAAK,EAAI,KAAK,WAAWS,EAAaxI,EAAQ,QAAQ,EACtD,KAAK,EAAI,KAAK,EAAE,OAChB,KAAK,gBAAkBwI,EAAY,OACnC,KAAK,eAAiBA,EAAY,CAAC,EAAE,OAErC,QADIC,EAAc,CAAC,EACZA,EAAY,OAAS,KAAK,GAC/BA,EAAY,KAAK,EAAK,EACxB,KAAK,YAAcA,EAAY,MAAM,EACrC,KAAK,YAAcA,EAAY,MAAM,EACrC,KAAK,KAAO,EACZ,KAAK,KAAO,EACZ,KAAK,KAAO,KAAK,cAAc,KAAK,EAAI,EAAG,CAAC,EAC5C,KAAK,OAAS,KAAK,cAAc,KAAK,EAAG,CAAC,EAU1C,QATIC,EAAO,EACPC,EAAQ,CACV,EAAG,KAAK,QACR,EAAG,KAAK,QACR,EAAG,KAAK,QACR,EAAG,KAAK,QACR,EAAG,KAAK,QACR,EAAG,KAAK,OACV,IACa,CACX,IAAIC,EAAOD,EAAMD,CAAI,EACrB,GAAI,CAACE,EACH,MACFF,EAAOE,EAAK,MAAM,IAAI,EAGxB,QADIC,EAAU,CAAC,EACNzJ,EAAI,EAAGA,EAAI,KAAK,gBAAiB,EAAEA,EAC1C,QAAS0J,EAAI,EAAGA,EAAI,KAAK,eAAgB,EAAEA,EACrC,KAAK,OAAO1J,CAAC,EAAE0J,CAAC,GAAK,GACvBD,EAAQ,KAAK,CAACzJ,EAAG0J,CAAC,CAAC,EACzB,OAAOD,CACT,EACAb,EAAQ,UAAU,cAAgB,SAASd,EAAG6B,EAAK,CAEjD,QADId,EAAS,CAAC,EACL7I,EAAI,EAAGA,EAAI8H,EAAG,EAAE9H,EAAG,CAC1B6I,EAAO7I,CAAC,EAAI,CAAC,EACb,QAAS0J,EAAI,EAAGA,EAAI5B,EAAG,EAAE4B,EACvBb,EAAO7I,CAAC,EAAE0J,CAAC,EAAIC,EAEnB,OAAOd,CACT,EACAD,EAAQ,UAAU,QAAU,UAAW,CACrC,QAAS5I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAE5B,QADI4J,EAAS,KAAK,IAAI,MAAM,KAAM,KAAK,EAAE5J,CAAC,CAAC,EAClC0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,KAAK,EAAE1J,CAAC,EAAE0J,CAAC,GAAKE,EAEpB,MAAO,EACT,EACAhB,EAAQ,UAAU,QAAU,UAAW,CACrC,QAAS5I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,GAAI,KAAK,EAAE1J,CAAC,EAAE0J,CAAC,IAAM,GAAK,CAAC,KAAK,YAAYA,CAAC,GAAK,CAAC,KAAK,YAAY1J,CAAC,EAAG,CACtE,KAAK,OAAOA,CAAC,EAAE0J,CAAC,EAAI,EACpB,KAAK,YAAYA,CAAC,EAAI,GACtB,KAAK,YAAY1J,CAAC,EAAI,GACtB,MAIN,YAAK,eAAe,EACb,CACT,EACA4I,EAAQ,UAAU,QAAU,UAAW,CAErC,QADIlB,EAAQ,EACH1H,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EACxB,KAAK,OAAO1J,CAAC,EAAE0J,CAAC,GAAK,GAAK,KAAK,YAAYA,CAAC,GAAK,KACnD,KAAK,YAAYA,CAAC,EAAI,GACtB,EAAEhC,GAIR,OAAOA,GAAS,KAAK,EAAI,EAAI,CAC/B,EACAkB,EAAQ,UAAU,QAAU,UAAW,CAGrC,QAFIiB,EAAO,GACPX,EAAM,GAAIY,EAAM,GAAIC,EAAW,GAC5B,CAACF,GAAM,CACZ,IAAIG,EAAI,KAAK,cAAc,EAG3B,GAFAd,EAAMc,EAAE,CAAC,EACTF,EAAME,EAAE,CAAC,EACLd,EAAM,EACR,MAAO,GAGT,GAFA,KAAK,OAAOA,CAAG,EAAEY,CAAG,EAAI,EACxBC,EAAW,KAAK,mBAAmBb,CAAG,EAClCa,GAAY,EACdD,EAAMC,EACN,KAAK,YAAYb,CAAG,EAAI,GACxB,KAAK,YAAYY,CAAG,EAAI,OAExB,aAAK,KAAOZ,EACZ,KAAK,KAAOY,EACL,EAGb,EACAlB,EAAQ,UAAU,QAAU,UAAW,CACrC,IAAIlB,EAAQ,EACZ,KAAK,KAAKA,CAAK,EAAE,CAAC,EAAI,KAAK,KAC3B,KAAK,KAAKA,CAAK,EAAE,CAAC,EAAI,KAAK,KAE3B,QADImC,EAAO,GACJ,CAACA,GAAM,CACZ,IAAIX,EAAM,KAAK,mBAAmB,KAAK,KAAKxB,CAAK,EAAE,CAAC,CAAC,EAQrD,GAPIwB,GAAO,GACTxB,IACA,KAAK,KAAKA,CAAK,EAAE,CAAC,EAAIwB,EACtB,KAAK,KAAKxB,CAAK,EAAE,CAAC,EAAI,KAAK,KAAKA,EAAQ,CAAC,EAAE,CAAC,GAE5CmC,EAAO,GAEL,CAACA,EAAM,CACT,IAAIC,EAAM,KAAK,oBAAoB,KAAK,KAAKpC,CAAK,EAAE,CAAC,CAAC,EACtDA,IACA,KAAK,KAAKA,CAAK,EAAE,CAAC,EAAI,KAAK,KAAKA,EAAQ,CAAC,EAAE,CAAC,EAC5C,KAAK,KAAKA,CAAK,EAAE,CAAC,EAAIoC,GAG1B,YAAK,eAAe,KAAK,KAAMpC,CAAK,EACpC,KAAK,eAAe,EACpB,KAAK,eAAe,EACb,CACT,EACAkB,EAAQ,UAAU,QAAU,UAAW,CAErC,QADIgB,EAAS,KAAK,gBAAgB,EACzB5J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EACxB,KAAK,YAAY1J,CAAC,IACpB,KAAK,EAAEA,CAAC,EAAE0J,CAAC,GAAKE,GACb,KAAK,YAAYF,CAAC,IACrB,KAAK,EAAE1J,CAAC,EAAE0J,CAAC,GAAKE,GAGtB,MAAO,EACT,EACAhB,EAAQ,UAAU,gBAAkB,UAAW,CAE7C,QADIgB,EAASlB,EACJ1I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EACxB,CAAC,KAAK,YAAY1J,CAAC,GAAK,CAAC,KAAK,YAAY0J,CAAC,GACzCE,EAAS,KAAK,EAAE5J,CAAC,EAAE0J,CAAC,IACtBE,EAAS,KAAK,EAAE5J,CAAC,EAAE0J,CAAC,GAE5B,OAAOE,CACT,EACAhB,EAAQ,UAAU,cAAgB,UAAW,CAC3C,QAAS5I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,GAAI,KAAK,EAAE1J,CAAC,EAAE0J,CAAC,IAAM,GAAK,CAAC,KAAK,YAAY1J,CAAC,GAAK,CAAC,KAAK,YAAY0J,CAAC,EACnE,MAAO,CAAC1J,EAAG0J,CAAC,EAClB,MAAO,CAAC,GAAI,EAAE,CAChB,EACAd,EAAQ,UAAU,mBAAqB,SAASM,EAAK,CACnD,QAASQ,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,GAAI,KAAK,OAAOR,CAAG,EAAEQ,CAAC,GAAK,EACzB,OAAOA,EACX,MAAO,EACT,EACAd,EAAQ,UAAU,mBAAqB,SAASkB,EAAK,CACnD,QAAS9J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,GAAI,KAAK,OAAOA,CAAC,EAAE8J,CAAG,GAAK,EACzB,OAAO9J,EACX,MAAO,EACT,EACA4I,EAAQ,UAAU,oBAAsB,SAASM,EAAK,CACpD,QAASQ,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,GAAI,KAAK,OAAOR,CAAG,EAAEQ,CAAC,GAAK,EACzB,OAAOA,EACX,MAAO,EACT,EACAd,EAAQ,UAAU,eAAiB,SAASqB,EAAMvC,EAAO,CACvD,QAAS1H,EAAI,EAAGA,GAAK0H,EAAO,EAAE1H,EAC5B,KAAK,OAAOiK,EAAKjK,CAAC,EAAE,CAAC,CAAC,EAAEiK,EAAKjK,CAAC,EAAE,CAAC,CAAC,EAAI,KAAK,OAAOiK,EAAKjK,CAAC,EAAE,CAAC,CAAC,EAAEiK,EAAKjK,CAAC,EAAE,CAAC,CAAC,GAAK,EAAI,EAAI,CACzF,EACA4I,EAAQ,UAAU,eAAiB,UAAW,CAC5C,QAAS5I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,KAAK,YAAYA,CAAC,EAAI,GACtB,KAAK,YAAYA,CAAC,EAAI,EAE1B,EACA4I,EAAQ,UAAU,eAAiB,UAAW,CAC5C,QAAS5I,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EAC5B,QAAS0J,EAAI,EAAGA,EAAI,KAAK,EAAG,EAAEA,EACxB,KAAK,OAAO1J,CAAC,EAAE0J,CAAC,GAAK,IACvB,KAAK,OAAO1J,CAAC,EAAE0J,CAAC,EAAI,EAC5B,EACA,SAASQ,EAAiBC,EAAeC,EAAoB,CAC3D,IAAIpK,EAAG0J,EACP,GAAI,CAACU,EAAoB,CACvB,IAAIC,EAAU,KACd,IAAKrK,EAAI,EAAGA,EAAImK,EAAc,OAAQ,EAAEnK,EACtC,IAAK0J,EAAI,EAAGA,EAAIS,EAAcnK,CAAC,EAAE,OAAQ,EAAE0J,EACrCS,EAAcnK,CAAC,EAAE0J,CAAC,EAAIW,IACxBA,EAAUF,EAAcnK,CAAC,EAAE0J,CAAC,GAClCU,EAAqChL,EAAO,SAASkL,EAAG,CACtD,OAAOD,EAAUC,CACnB,EAAG,oBAAoB,EAEzB,IAAIlB,EAAc,CAAC,EACnB,IAAKpJ,EAAI,EAAGA,EAAImK,EAAc,OAAQ,EAAEnK,EAAG,CACzC,IAAIkJ,EAAMiB,EAAcnK,CAAC,EAEzB,IADAoJ,EAAYpJ,CAAC,EAAI,CAAC,EACb0J,EAAI,EAAGA,EAAIR,EAAI,OAAQ,EAAEQ,EAC5BN,EAAYpJ,CAAC,EAAE0J,CAAC,EAAIU,EAAmBD,EAAcnK,CAAC,EAAE0J,CAAC,CAAC,EAE9D,OAAON,CACT,CACAhK,EAAO8K,EAAkB,kBAAkB,EAC3C,SAASK,EAAc1B,EAAQ,CAC7B,IAAI2B,EAAe,CAAC,EAChBxK,EAAG0J,EACP,IAAK1J,EAAI,EAAGA,EAAI6I,EAAO,OAAQ,EAAE7I,EAC/B,IAAK0J,EAAI,EAAGA,EAAIb,EAAO7I,CAAC,EAAE,OAAQ,EAAE0J,EAAG,CACrC,IAAIe,EAAa,OAAO5B,EAAO7I,CAAC,EAAE0J,CAAC,CAAC,EAAE,QAClC,CAACc,EAAad,CAAC,GAAKe,GAAcD,EAAad,CAAC,KAClDc,EAAad,CAAC,EAAIe,GAGxB,IAAIC,EAAY,GAChB,IAAK1K,EAAI,EAAGA,EAAI6I,EAAO,OAAQ,EAAE7I,EAAG,CAClC,IAAK0J,EAAI,EAAGA,EAAIb,EAAO7I,CAAC,EAAE,OAAQ,EAAE0J,EAAG,CAErC,QADIiB,EAAI,OAAO9B,EAAO7I,CAAC,EAAE0J,CAAC,CAAC,EACpBiB,EAAE,OAASH,EAAad,CAAC,GAC9BiB,EAAI,IAAMA,EACZD,GAAaC,EACTjB,GAAKb,EAAO7I,CAAC,EAAE,OAAS,IAC1B0K,GAAa,KAEb1K,GAAK6I,EAAO7I,CAAC,EAAE,OAAS,IAC1B0K,GAAa;AAAA,GAEjB,OAAOA,CACT,CACAtL,EAAOmL,EAAe,eAAe,EACrC,SAASK,EAAexB,EAAaxI,EAAS,CAC5C,IAAIiK,EAAI,IAAIjC,EACZ,OAAOiC,EAAE,QAAQzB,EAAaxI,CAAO,CACvC,CACAxB,EAAOwL,EAAgB,gBAAgB,EACvCA,EAAe,QAAU,QACzBA,EAAe,cAAgBL,EAC/BK,EAAe,iBAAmBV,EAClCU,EAAe,QAAUhC,EACrB,OAAOhJ,GAAW,aAAeA,EAAO,UAC1CA,EAAO,QAAUgL,EAErB,CACF,CAAC,EAGGE,EAAkBvL,EAAW,CAC/B,aAAaI,EAAS,CACpB,IAAIoL,EAAoBlI,EAAoB,EACxCmI,EAAcD,EAAkB,YAChCtG,EAASR,EAAmB,EAAE,OAC9BgH,EAAWnK,EAAc,EAAE,SAC3BoK,EAAUzC,EAAgB,EAC1B0C,EAAa,GACbC,EAA8BhM,EAAO,SAASyC,EAAOC,EAAO,CAC9D,IAAIuJ,EAAMJ,EAASpJ,EAAOC,CAAK,EAC3B0F,EAAW,EAAI6D,EACnB,OAAI7D,EAAW,EAAI8D,EAAO,WACxB9D,EAAW8D,EAAO,cAAgB,GAE7B9D,CACT,EAAG,aAAa,EACZ8D,EAAS,CAGX,yBAA0B,EAG1B,SAAU,IAKV,WAAY,GAEZ,aAAcF,EAGd,cAAe,IAGf,kBAAmB,QACrB,EACIG,EAAoC,IAAI,IACxCC,EAAuC,IAAI,IAC3CC,EAAyB,GAC7B9L,EAAQ,gBAAkByL,EAC1BzL,EAAQ,+BAAiC,SAAS+L,EAAuBvI,EAAS,CAChF,IAAIwI,EAAmB,IAAIlH,EAAO,MAAM,KAAK8G,EAAkB,OAAO,CAAC,EAAGD,EAAO,aAAc,CAAC,IAAK,IAAK,IAAK,GAAG,CAAC,EAC/GM,EAA4B,IAAInH,EAAOiH,EAAuBJ,EAAO,aAAc,CAAC,IAAK,IAAK,IAAK,GAAG,CAAC,EAC3G,GAAIC,EAAkB,OAAS,EAC7BG,EAAsB,QAAQ,SAASG,EAAc,CACnD,IAAIC,EAAiB,IAAId,EAAYa,EAAc1I,EAASmI,EAAO,yBAA0BA,EAAO,UAAU,EAC9GC,EAAkB,IAAIO,EAAe,GAAIA,CAAc,EACvDH,EAAiB,OAAOG,CAAc,CACxC,CAAC,MACI,CACL,IAAIC,EAAc,IAAI,MAAML,EAAsB,MAAM,EAExD,GADAK,EAAY,KAAK,EAAK,EAClBL,EAAsB,OAAS,EACjC,GAAIJ,EAAO,oBAAsB,UAAW,CAC1C,IAAIU,EAAiB,MAAM,KAAKT,EAAkB,KAAK,CAAC,EACpDU,EAAa,MAAM,KAAKV,EAAkB,OAAO,CAAC,EAAE,IAAKhI,GAAgB,CAC3E,IAAI2I,EAAoB3I,EAAY,oBAAoB,EACxD,OAAOmI,EAAsB,IAC1BhK,GAAc4J,EAAO,aAAaY,EAAmBxK,CAAS,CACjE,CACF,CAAC,EACD6J,EAAkB,QAAQ,SAAShI,EAAa,CAC9CA,EAAY,cAAc,CAC5B,CAAC,EACD2H,EAAQe,CAAU,EAAE,OAAQpB,GAAMoB,EAAWpB,EAAE,CAAC,CAAC,EAAEA,EAAE,CAAC,CAAC,GAAKS,EAAO,aAAa,EAAE,QAAST,GAAM,CAC/F,IAAItH,EAAcgI,EAAkB,IAAIS,EAAenB,EAAE,CAAC,CAAC,CAAC,EACxDsB,EAA+BT,EAAsBb,EAAE,CAAC,CAAC,EAC7DkB,EAAYlB,EAAE,CAAC,CAAC,EAAI,CAAE,UAAWtH,EAAY,SAAU,EACvDA,EAAY,gBAAgB,EAAE,OAAO4I,EAA8BhJ,CAAO,CAC5E,CAAC,EACD4I,EAAY,QAAQ,SAASK,EAASC,EAAO,CAC3C,GAAI,CAACD,GACC,KAAK,IAAI,GAAGH,EAAW,IAAKpB,GAAMA,EAAEwB,CAAK,CAAC,CAAC,EAAIf,EAAO,cAAe,CACvE,IAAIQ,EAAiBd,EAAYU,EAAsBW,CAAK,EAAGlJ,EAASmI,EAAO,yBAA0BA,EAAO,UAAU,EAC1HC,EAAkB,IAAIO,EAAe,GAAIA,CAAc,EACvDA,EAAe,gBAAgB,EAC/BG,EAAW,KAAKP,EAAsB,IACnChK,GAAc4J,EAAO,aAAaQ,EAAgBpK,CAAS,CAC9D,CAAC,EAGP,CAAC,UACQ4J,EAAO,oBAAsB,SACtCC,EAAkB,QAAQ,SAAShI,EAAa,CAC9C,IAAI2I,EAAoB3I,EAAY,oBAAoB,EACxDA,EAAY,cAAc,EAC1B,IAAI+I,EAAmBV,EAA0B,QAAQM,EAAmB,EAAGZ,EAAO,aAAa,EAAE,CAAC,EAClGiB,EAAoCX,EAA0B,QAAQrI,EAAa,EAAG+H,EAAO,aAAa,EAAE,CAAC,EAC7GkB,EAA4BZ,EAA0B,QAAQM,EAAmB,EAAGZ,EAAO,aAAa,EAC5G,GAAIgB,EAAkB,CACpB,IAAIG,EAA8Bf,EAAsB,QAAQY,EAAiB,CAAC,CAAC,EACnF,GAAI,CAACP,EAAYU,CAA2B,EAAG,CAC7CV,EAAYU,CAA2B,EAAI,CACzC,UAAWlJ,EAAY,SACzB,EACA,IAAI4I,EAA+BT,EAAsBe,CAA2B,EACpFlB,EAAkB,IAAIhI,EAAY,EAAE,EAAE,gBAAgB,EAAE,OAAO4I,EAA8BhJ,CAAO,GAI1G,CAAC,MAED,MAAM,+BAA+BmI,EAAO,0BAG1CH,GACF,QAAQ,IAAI,6CAA+ChI,CAAO,EAEpEoI,EAAkB,QAAQ,SAAShI,EAAa,CAC9CA,EAAY,cAAc,CAC5B,CAAC,EAEC+H,EAAO,oBAAsB,UAC3BC,EAAkB,KAAO,IAC3BI,EAAmB,IAAIlH,EAAO,MAAM,KAAK8G,EAAkB,OAAO,CAAC,EAAGD,EAAO,aAAc,CAAC,IAAK,IAAK,IAAK,GAAG,CAAC,EAC/GS,EAAY,QAAQ,SAASK,EAASC,EAAO,CAC3C,GAAI,CAACD,EAAS,CACZ,IAAIE,EAAmBX,EAAiB,QAAQD,EAAsBW,CAAK,EAAG,EAAGf,EAAO,aAAa,EAAE,CAAC,EACxG,GAAI,CAACgB,EAAkB,CACrB,IAAIR,EAAiBd,EAAYU,EAAsBW,CAAK,EAAGlJ,EAASmI,EAAO,yBAA0BA,EAAO,UAAU,EAC1HC,EAAkB,IAAIO,EAAe,GAAIA,CAAc,EACvDH,EAAiB,OAAOG,CAAc,EACtCA,EAAe,gBAAgB,GAIrC,CAAC,GAGLP,EAAkB,QAAQ,SAAShI,EAAa,CAC1CA,EAAY,YACdA,EAAY,UAAUJ,CAAO,EAC7BI,EAAY,+BAA+B,EACvCA,EAAY,OAAO,IACrBgI,EAAkB,OAAOhI,EAAY,EAAE,EACvCoI,EAAiB,OAAOpI,CAAW,EAC/BkI,GACFD,EAAqB,IAAIjI,EAAY,GAAIA,CAAW,GAI5D,CAAC,EAEL,EACA5D,EAAQ,MAAQ,UAAW,CACzB4L,EAAoC,IAAI,IACxCC,EAAuC,IAAI,IAC3CT,EAAkB,MAAM,CAC1B,EACApL,EAAQ,UAAY,SAAS+M,EAAW,CACtC,OAAO,KAAKA,CAAS,EAAE,QAASC,GAAQ,CACtCrB,EAAOqB,CAAG,EAAID,EAAUC,CAAG,CAC7B,CAAC,CACH,EACAhN,EAAQ,mBAAqB,UAAW,CACtC8L,EAAyB,EAC3B,EACA9L,EAAQ,oBAAsB,UAAW,CACvC8L,EAAyB,EAC3B,EACA9L,EAAQ,sBAAwB,SAASoE,EAAW,GAAM,CACxD,OAAO,MAAM,KAAKwH,EAAkB,OAAO,CAAC,EAAE,IAAI,SAAShI,EAAa,CACtE,OAAOA,EAAY,OAAOQ,CAAQ,CACpC,CAAC,CACH,EACApE,EAAQ,2BAA6B,SAASoE,EAAW,GAAM,CAC7D,OAAO,MAAM,KAAKwH,EAAkB,OAAO,CAAC,EAAE,IAAI,SAAShI,EAAa,CACtE,OAAOA,EAAY,YAAYQ,CAAQ,CACzC,CAAC,CACH,EACApE,EAAQ,2BAA6B,SAASwD,EAAS,CACrD,OAAO,MAAM,KAAKoI,EAAkB,OAAO,CAAC,EAAE,IAAI,SAAShI,EAAa,CACtE,OAAOA,EAAY,MAAMJ,CAAO,CAClC,CAAC,CACH,EACAxD,EAAQ,mBAAqB,UAAW,CACtC,OAAO6L,CACT,EACA7L,EAAQ,yBAA2B,UAAW,CAC5C,OAAO,MAAM,KAAK6L,EAAqB,OAAO,CAAC,EAAE,IAAI,SAASjI,EAAa,CACzE,OAAOA,EAAY,kBAAkB,CACvC,CAAC,CACH,CACF,CACF,CAAC,EACMqJ,EAAQ9B,EAAgB,ED1pC/B,IAAM+B,EAAiC,CACrC,MAAO,GACP,QAAS,QAIT,cAAe,mDACf,OAAQ,CAAE,QAAS,GAAM,aAAc,GAAO,KAAM,EAAM,EAC1D,KAAM,CACJ,QAAS,GACT,SAAU,CAAE,SAAU,GAAO,YAAa,GAAI,cAAe,EAAI,EACjE,KAAM,CAAE,QAAS,EAAK,EACtB,UAAW,CAAE,QAAS,EAAM,EAC5B,KAAM,CAAE,QAAS,EAAM,EACvB,YAAa,CAAE,QAAS,EAAM,EAC9B,QAAS,CAAE,QAAS,EAAM,EAC1B,UAAW,CAAE,QAAS,EAAM,EAC5B,SAAU,CAAE,QAAS,EAAM,CAC7B,EACA,KAAM,CAAE,QAAS,GAAO,YAAa,EAAG,UAAW,wBAAyB,EAC5E,KAAM,CAAE,QAAS,EAAM,EACvB,OAAQ,CAAE,QAAS,GAAO,YAAa,EAAG,EAC1C,aAAc,CAAE,QAAS,EAAM,EAC/B,QAAS,CAAE,QAAS,EAAM,CAC5B,EAsBMC,EAA+B,CACnC,yBAA0B,IAC1B,SAAU,IACV,WAAY,GACZ,cAAe,IACf,kBAAmB,QACrB,EAEMC,EAAQ,IAAM,QAAMF,CAAW,EAE/BG,EAAM,CACV,MAAO,SAAS,eAAe,OAAO,EACtC,OAAQ,SAAS,eAAe,QAAQ,EACxC,IAAK,SAAS,eAAe,KAAK,EAClC,IAAK,SAAS,eAAe,QAAQ,EACrC,QAAS,SAAS,eAAe,SAAS,EAC1C,cAAe,SAAS,eAAe,eAAe,EACtD,OAAQ,SAAS,eAAe,QAAQ,EACxC,IAAM,SAAS,eAAe,QAAQ,EAAwB,WAAW,IAAI,CAC/E,EACMC,EAAY,CAAE,OAAQ,EAAG,KAAM,EAAG,QAAS,EAAG,MAAO,CAAE,EACvDC,EAAM,CAAE,UAAW,EAAG,QAAS,EAAG,OAAQ,EAAG,UAAW,CAAE,EAE1DC,EAAM,IAAIC,IAAQ,CACtBJ,EAAI,IAAI,WAAaI,EAAI,KAAK,GAAG,EAAI;AAAA,EACrC,QAAQ,IAAI,GAAGA,CAAG,CACpB,EACMC,EAAUD,GAAQJ,EAAI,IAAI,UAAYI,EAE5C,eAAeE,GAAgB,CAC7B,GAAI,CAACN,EAAI,MAAM,QAAUA,EAAI,MAAM,YAAc,EAAG,CAC9CC,EAAU,QAAU,IAAGA,EAAU,MAAQF,EAAM,IAAI,GAEvD,MAAMA,EAAM,OAAOC,EAAI,MAAOH,CAAW,EACzC,IAAMU,EAAUR,EAAM,GAAG,OAAO,EAAE,WAC9BQ,EAAUN,EAAU,UAAY,GAAGE,EAAI,qBAAsBI,EAAUN,EAAU,OAAO,EAC5FA,EAAU,QAAUM,EACpBL,EAAI,UAAY,KAAK,MAAM,IAAO,KAAQH,EAAM,IAAI,EAAIE,EAAU,OAAO,EAAI,IAC7EC,EAAI,SACJA,EAAI,UAAY,KAAK,MAAM,KAAQH,EAAM,IAAI,EAAIE,EAAU,OAASC,EAAI,MAAM,EAAI,IAEpFD,EAAU,OAASF,EAAM,IAAI,EAC7B,sBAAsBO,CAAa,CACrC,CAEA,SAASE,GAAW,CAClB,GAAI,CAACR,EAAI,MAAM,QAAUA,EAAI,MAAM,YAAc,EAAG,CAClD,IAAMS,EAAgBT,EAAI,cAAc,QAAUD,EAAM,KAAKA,EAAM,MAAM,EAAIA,EAAM,OAC/EW,EAA+D,CAAC,EAChEX,EAAM,OAAO,KAAK,QAASW,EAAWD,EAAI,KACrCV,EAAM,OAAO,KAAK,QAASW,EAAWD,EAAI,KAC1CV,EAAM,OAAO,OAAO,QAASW,EAAWD,EAAI,OAChDN,EAAI,qBAAqB,EAC9B,IAAIQ,EAAwB,CAAC,EAC7B,GAAIX,EAAI,QAAQ,QAAS,CACvB,IAAMY,EAAQF,EAAS,IAAKG,IAAS,CACnC,EAAGA,EAAI,IAAI,CAAC,EAAIA,EAAI,IAAI,CAAC,EAAI,EAC7B,EAAGA,EAAI,IAAI,CAAC,EAAIA,EAAI,IAAI,CAAC,EAAI,EAC7B,EAAGA,EAAI,IAAI,CAAC,EACZ,EAAGA,EAAI,IAAI,CAAC,EACZ,KAAMA,EAAI,QAAUd,EAAM,OAAO,KAAK,QAAU,OAAS,QACzD,WAAYc,EAAI,KAClB,EAAE,EACFC,EAAQ,+BAA+BF,EAAOV,EAAI,MAAM,EACxDS,EAAOG,EAAQ,sBAAsB,EAAI,EAE3Cf,EAAM,KAAK,OAAOC,EAAI,MAAOA,EAAI,MAAM,EACvC,QAASe,EAAI,EAAGA,EAAIL,EAAS,OAAQK,IAAK,CAExC,IAAMC,EAAON,EAASK,CAAC,EAAE,QAAUhB,EAAM,OAAO,KAAK,QAAU,OAAS,QACxEC,EAAI,IAAI,WAAWU,EAASK,CAAC,EAAE,IAAI,CAAC,EAAGL,EAASK,CAAC,EAAE,IAAI,CAAC,EAAGL,EAASK,CAAC,EAAE,IAAI,CAAC,EAAGL,EAASK,CAAC,EAAE,IAAI,CAAC,CAAC,EACjGf,EAAI,IAAI,SAAS,OAAOU,EAASK,CAAC,EAAE,MAAM,KAAK,MAAM,IAAML,EAASK,CAAC,EAAE,KAAK,MAAMC,IAAQN,EAASK,CAAC,EAAE,IAAI,CAAC,EAAI,EAAGL,EAASK,CAAC,EAAE,IAAI,CAAC,EAAI,EAAE,EACrIJ,EAAKI,CAAC,GACRf,EAAI,IAAI,SAAS,MAAMW,EAAKI,CAAC,EAAE,MAAM,KAAK,MAAM,IAAMJ,EAAKI,CAAC,EAAE,UAAU,MAAMJ,EAAKI,CAAC,EAAE,QAAQJ,EAAKI,CAAC,EAAE,SAAW,SAAW,KAAML,EAASK,CAAC,EAAE,IAAI,CAAC,EAAI,EAAGL,EAASK,CAAC,EAAE,IAAI,CAAC,EAAI,EAAE,GAIvL,IAAME,EAAMlB,EAAM,IAAI,EACtBG,EAAI,QAAU,KAAK,MAAM,IAAO,KAAQe,EAAMhB,EAAU,KAAK,EAAI,IACjEA,EAAU,KAAOgB,EACjBZ,EAAOL,EAAI,MAAM,OAAS,SAAW,QAAQE,EAAI,UAAU,QAAQ,CAAC,EAAE,SAAS,EAAG,GAAG,cAAcA,EAAI,QAAQ,QAAQ,CAAC,EAAE,SAAS,EAAG,GAAG,QAAQ,EACjJ,WAAWM,EAAU,EAAE,CACzB,CAEA,eAAeU,EAAYC,EAAY,CACrC,IAAMC,EAAM,IAAI,gBAAgBD,CAAI,EACpCnB,EAAI,MAAM,IAAMoB,EAChB,MAAMpB,EAAI,MAAM,KAAK,EACrBG,EAAI,gBAAiBgB,EAAK,KAAM,cAAe,CAACnB,EAAI,MAAM,WAAYA,EAAI,MAAM,WAAW,EAAG,YAAaA,EAAI,MAAM,QAAQ,EAC7HA,EAAI,OAAO,MAAQA,EAAI,MAAM,WAC7BA,EAAI,OAAO,OAASA,EAAI,MAAM,YAC9BA,EAAI,IAAI,YAAc,QACtBA,EAAI,IAAI,UAAY,QACpBA,EAAI,IAAI,KAAO,gBACfA,EAAI,MAAM,aAAe,GAC3B,CAEA,SAASqB,IAAY,CACnB,SAAS,KAAK,iBAAiB,YAAcC,GAAQA,EAAI,eAAe,CAAC,EACzE,SAAS,KAAK,iBAAiB,YAAcA,GAAQA,EAAI,eAAe,CAAC,EACzE,SAAS,KAAK,iBAAiB,WAAaA,GAAQA,EAAI,eAAe,CAAC,EACxE,SAAS,KAAK,iBAAiB,OAAQ,MAAOA,GAAQ,CA/JxD,IAAAC,EAAAC,EAgKIF,EAAI,eAAe,EACfA,EAAI,eAAcA,EAAI,aAAa,WAAa,QACpD,IAAMH,GAAOK,GAAAD,EAAAD,EAAI,eAAJ,YAAAC,EAAkB,QAAlB,YAAAC,EAA0B,GACnCL,GAAM,MAAMD,EAAYC,CAAI,EAChChB,EAAIH,EAAI,MAAM,UAAU,CAC1B,CAAC,EACA,SAAS,eAAe,YAAY,EAAuB,SAAW,MAAOsB,GAAQ,CAtKxF,IAAAC,EAAAC,EAuKIF,EAAI,eAAe,EACnB,IAAMH,GAAOK,GAAAD,EAAAD,EAAI,SAAJ,YAAAC,EAAa,QAAb,YAAAC,EAAwB,GACjCL,GAAM,MAAMD,EAAYC,CAAI,CAClC,EACAnB,EAAI,OAAO,SAAW,IAAM,CAC1BF,EAAc,cAAiB,SAAS,eAAe,eAAe,EAAuB,cAC7FA,EAAc,SAAY,SAAS,eAAe,UAAU,EAAuB,cACnFA,EAAc,yBAA4B,SAAS,eAAe,0BAA0B,EAAuB,cACnHA,EAAc,yBAA4B,SAAS,eAAe,0BAA0B,EAAuB,cACnHA,EAAc,kBAAqB,SAAS,eAAe,0BAA0B,EAAuB,QAAU,SAAW,UACjIgB,EAAQ,UAAUhB,CAAa,EAC1B,SAAS,eAAe,cAAc,EAAuB,QAASgB,EAAQ,mBAAmB,EACjGA,EAAQ,oBAAoB,EACjCA,EAAQ,MAAM,EACdX,EAAI,wBAAyB,KAAK,UAAUL,CAAa,CAAC,EAC1DD,EAAY,KAAM,QAAW,SAAS,eAAe,UAAU,EAAuB,QACtFA,EAAY,KAAM,QAAW,SAAS,eAAe,UAAU,EAAuB,QACtFA,EAAY,OAAQ,QAAW,SAAS,eAAe,YAAY,EAAuB,OAC5F,EACAG,EAAI,QAAQ,SAAYsB,GAAQ,CAC9BnB,EAAI,UAAYmB,EAAI,OAA4B,QAAU,UAAY,UAAU,EAChFR,EAAQ,UAAUhB,CAAa,EAC/BgB,EAAQ,MAAM,CAChB,CACF,CAEA,eAAeW,IAAO,CACpBtB,EAAI,iBAAkBJ,EAAM,QAAS,kBAAmBA,EAAM,GAAG,QAAQ,WAAW,CAAC,EACrFI,EAAI,YAAaJ,EAAM,IAAI,SAAU,WAAYA,EAAM,IAAI,KAAK,EAChEM,EAAO,YAAY,EACnB,MAAMN,EAAM,KAAK,EACjBI,EAAI,WAAYJ,EAAM,GAAG,WAAW,EAAG,eAAgBA,EAAM,IAAI,QAAQ,EACzEI,EAAI,iBAAkBJ,EAAM,OAAO,OAAO,CAAC,EAC3CM,EAAO,iBAAiB,EACxB,MAAMN,EAAM,OAAO,EACnBsB,GAAU,EACV,MAAMf,EAAc,EACpBE,EAAS,CACX,CAEA,OAAO,OAASiB", - "names": ["H", "__defProp", "__getOwnPropNames", "__name", "target", "value", "__commonJS", "cb", "mod", "require_rng_browser", "exports", "module", "getRandomValues", "rnds8", "rnds", "i", "r", "require_bytesToUuid", "byteToHex", "bytesToUuid", "buf", "offset", "i2", "bth", "require_v4", "rng", "v4", "options", "ii", "require_utils", "detections", "largestAllowed", "isInsideArea", "area", "point", "xMin", "xMax", "yMin", "yMax", "areas", "objectsToDetect", "detection", "getRectangleEdges", "item", "item1", "item2", "rect1", "rect2", "overlap_x0", "overlap_y0", "overlap_x1", "overlap_y1", "area_rect1", "area_rect2", "area_intersection", "area_union", "nbFrame", "dx", "dy", "angle", "require_ItemTracked", "uuidv4", "computeBearingIn360", "computeVelocityVector", "idDisplay", "properties", "frameNb", "unMatchedFramesTolerance", "fastDelete", "DEFAULT_UNMATCHEDFRAMES_TOLERANCE", "itemTracked", "properties2", "frameNb2", "start", "end", "nameMostlyMatchedOccurences", "nameMostlyMatched", "name", "roundInt", "frameIndex", "require_kdTree_min", "root", "factory", "exports2", "Node", "obj", "dimension", "parent", "kdTree", "points", "metric", "dimensions", "self", "buildTree", "points2", "depth", "dim", "median", "node", "a", "b", "loadTree", "data", "restoreParent", "src", "dest", "innerSearch", "dimension2", "insertPosition", "newNode", "nodeSearch", "node2", "removeNode", "nextNode", "nextObj", "pDimension", "findMin", "node3", "own", "left", "right", "min", "maxNodes", "maxDistance", "result", "bestNodes", "BinaryHeap", "e", "nearestSearch", "bestChild", "ownDistance", "linearPoint", "linearDistance", "otherChild", "saveNode", "distance", "height", "count", "scoreFunction", "element", "len", "n", "parentN", "length", "elemScore", "child2N", "child1N", "swap", "child1", "child1Score", "child2", "child2Score", "require_munkres", "MAX_SIZE", "DEFAULT_PAD_VALUE", "Munkres", "matrix", "pad_value", "max_columns", "total_rows", "new_matrix", "row", "new_row", "cost_matrix", "nfalseArray", "step", "steps", "func", "results", "j", "val", "minval", "done", "col", "star_col", "z", "path", "make_cost_matrix", "profit_matrix", "inversion_function", "maximum", "x", "format_matrix", "columnWidths", "entryWidth", "formatted", "s", "computeMunkres", "m", "require_tracker", "itemTrackedModule", "ItemTracked", "iouAreas", "munkres", "DEBUG_MODE", "iouDistance", "iou", "params", "mapOfItemsTracked", "mapOfAllItemsTracked", "keepAllHistoryInMemory", "detectionsOfThisFrame", "treeItemsTracked", "treeDetectionsOfThisFrame", "itemDetected", "newItemTracked", "matchedList", "trackedItemIds", "costMatrix", "predictedPosition", "updatedTrackedItemProperties", "matched", "index", "treeSearchResult", "treeSearchResultWithoutPrediction", "treeSearchMultipleResults", "indexClosestNewDetectedItem", "newParams", "key", "tracker_default", "humanConfig", "trackerConfig", "human", "dom", "timestamp", "fps", "log", "msg", "status", "detectionLoop", "tensors", "drawLoop", "res", "tracking", "data", "items", "obj", "tracker_default", "i", "name", "now", "handleVideo", "file", "url", "initInput", "evt", "_a", "_b", "main"] + "mappings": ";;;;;;;;AASA,YAAY,OAAO;;;ACRnB,IAAI,YAAY,OAAO;AACvB,IAAI,oBAAoB,OAAO;AAC/B,IAAI,SAAS,CAAC,QAAQ,UAAU,UAAU,QAAQ,QAAQ,EAAE,OAAO,cAAc,KAAK,CAAC;AACvF,IAAI,aAAa,CAAC,IAAI,QAAQ,SAAS,YAAY;AACjD,SAAO,QAAQ,GAAG,GAAG,kBAAkB,EAAE,EAAE,CAAC,CAAC,IAAI,MAAM,EAAE,SAAS,CAAC,EAAE,GAAG,SAAS,GAAG,GAAG,IAAI;AAC7F;AAGA,IAAI,sBAAsB,WAAW;AAAA,EACnC,qEAAqE,SAAS,QAAQ;AACpF,QAAI,kBAAkB,OAAO,UAAU,eAAe,OAAO,gBAAgB,KAAK,MAAM,KAAK,OAAO,YAAY,eAAe,SAAS,gBAAgB,KAAK,QAAQ;AACrK,QAAI,iBAAiB;AACnB,cAAQ,IAAI,WAAW,EAAE;AACzB,aAAO,UAA0B,OAAO,SAAS,YAAY;AAC3D,wBAAgB,KAAK;AACrB,eAAO;AAAA,MACT,GAAG,WAAW;AAAA,IAChB,OAAO;AACL,aAAO,IAAI,MAAM,EAAE;AACnB,aAAO,UAA0B,OAAO,SAAS,UAAU;AACzD,iBAAS,IAAI,GAAG,GAAG,IAAI,IAAI,KAAK;AAC9B,eAAK,IAAI,OAAO;AACd,gBAAI,KAAK,OAAO,IAAI;AACtB,eAAK,CAAC,IAAI,QAAQ,IAAI,MAAM,KAAK;AAAA,QACnC;AACA,eAAO;AAAA,MACT,GAAG,SAAS;AAAA,IACd;AACA,QAAI;AACJ,QAAI;AAAA,EACN;AACF,CAAC;AAGD,IAAI,sBAAsB,WAAW;AAAA,EACnC,qEAAqE,SAAS,QAAQ;AACpF,QAAI,YAAY,CAAC;AACjB,SAAK,IAAI,GAAG,IAAI,KAAK,EAAE,GAAG;AACxB,gBAAU,CAAC,KAAK,IAAI,KAAK,SAAS,EAAE,EAAE,OAAO,CAAC;AAAA,IAChD;AACA,aAAS,YAAY,KAAK,QAAQ;AAChC,UAAI,KAAK,UAAU;AACnB,UAAI,MAAM;AACV,aAAO,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,MAAM,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,MAAM,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,MAAM,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,MAAM,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,IAAI,CAAC;AAAA,IAC7S;AACA,WAAO,aAAa,aAAa;AACjC,WAAO,UAAU;AACjB,QAAI;AAAA,EACN;AACF,CAAC;AAGD,IAAI,aAAa,WAAW;AAAA,EAC1B,wDAAwD,SAAS,QAAQ;AACvE,QAAI,MAAM,oBAAoB;AAC9B,QAAI,cAAc,oBAAoB;AACtC,aAAS,GAAG,SAAS,KAAK,QAAQ;AAChC,UAAI,IAAI,OAAO,UAAU;AACzB,UAAI,OAAO,WAAW,UAAU;AAC9B,cAAM,YAAY,WAAW,IAAI,MAAM,EAAE,IAAI;AAC7C,kBAAU;AAAA,MACZ;AACA,gBAAU,WAAW,CAAC;AACtB,UAAI,OAAO,QAAQ,WAAW,QAAQ,OAAO,KAAK;AAClD,WAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK;AACzB,WAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK;AACzB,UAAI,KAAK;AACP,iBAAS,KAAK,GAAG,KAAK,IAAI,EAAE,IAAI;AAC9B,cAAI,IAAI,EAAE,IAAI,KAAK,EAAE;AAAA,QACvB;AAAA,MACF;AACA,aAAO,OAAO,YAAY,IAAI;AAAA,IAChC;AACA,WAAO,IAAI,IAAI;AACf,WAAO,UAAU;AAAA,EACnB;AACF,CAAC;AAGD,IAAI,gBAAgB,WAAW;AAAA,EAC7B,WAAW,SAAS;AAClB,YAAQ,sBAAsB,CAAC,YAAY,mBAAmB;AAC5D,UAAI,WAAW,KAAK,gBAAgB;AAClC,eAAO;AAAA,MACT,OAAO;AACL,eAAO;AAAA,MACT;AAAA,IACF;AACA,QAAI,eAA+B,OAAO,CAAC,MAAM,UAAU;AACzD,YAAM,OAAO,KAAK,IAAI,KAAK,IAAI;AAC/B,YAAM,OAAO,KAAK,IAAI,KAAK,IAAI;AAC/B,YAAM,OAAO,KAAK,IAAI,KAAK,IAAI;AAC/B,YAAM,OAAO,KAAK,IAAI,KAAK,IAAI;AAC/B,UAAI,MAAM,KAAK,QAAQ,MAAM,KAAK,QAAQ,MAAM,KAAK,QAAQ,MAAM,KAAK,MAAM;AAC5E,eAAO;AAAA,MACT,OAAO;AACL,eAAO;AAAA,MACT;AAAA,IACF,GAAG,cAAc;AACjB,YAAQ,eAAe;AACvB,YAAQ,oBAAoB,CAAC,OAAO,UAAU;AAC5C,YAAM,WAAW,MAAM,KAAK,CAAC,SAAS,aAAa,MAAM,KAAK,CAAC;AAC/D,aAAO;AAAA,IACT;AACA,YAAQ,2BAA2B,CAAC,YAAY,oBAAoB;AAClE,aAAO,WAAW,OAAO,CAAC,cAAc,gBAAgB,QAAQ,UAAU,IAAI,IAAI,EAAE;AAAA,IACtF;AACA,QAAI,oBAAoC,OAAO,CAAC,SAAS;AACvD,aAAO;AAAA,QACL,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,QACtB,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,QACtB,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,QACtB,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,MACxB;AAAA,IACF,GAAG,mBAAmB;AACtB,YAAQ,oBAAoB;AAC5B,YAAQ,WAAW,CAAC,OAAO,UAAU;AACnC,UAAI,QAAQ,kBAAkB,KAAK;AACnC,UAAI,QAAQ,kBAAkB,KAAK;AACnC,UAAI,aAAa,KAAK,IAAI,MAAM,IAAI,MAAM,EAAE;AAC5C,UAAI,aAAa,KAAK,IAAI,MAAM,IAAI,MAAM,EAAE;AAC5C,UAAI,aAAa,KAAK,IAAI,MAAM,IAAI,MAAM,EAAE;AAC5C,UAAI,aAAa,KAAK,IAAI,MAAM,IAAI,MAAM,EAAE;AAC5C,UAAI,aAAa,cAAc,KAAK,aAAa,cAAc,GAAG;AAChE,eAAO;AAAA,MACT,OAAO;AACL,cAAM,aAAa,MAAM,IAAI,MAAM;AACnC,cAAM,aAAa,MAAM,IAAI,MAAM;AACnC,cAAM,qBAAqB,aAAa,eAAe,aAAa;AACpE,cAAM,aAAa,aAAa,aAAa;AAC7C,eAAO,oBAAoB;AAAA,MAC7B;AAAA,IACF;AACA,YAAQ,wBAAwB,CAAC,OAAO,OAAO,YAAY;AACzD,aAAO;AAAA,QACL,KAAK,MAAM,IAAI,MAAM,KAAK;AAAA,QAC1B,KAAK,MAAM,IAAI,MAAM,KAAK;AAAA,MAC5B;AAAA,IACF;AACA,YAAQ,sBAAsB,SAAS,IAAI,IAAI;AAC7C,UAAI,QAAQ,KAAK,KAAK,KAAK,EAAE,KAAK,KAAK,KAAK;AAC5C,UAAI,QAAQ,GAAG;AACb,YAAI,KAAK;AACP,iBAAO;AAAA;AAEP,iBAAO,MAAM;AAAA,MACjB,OAAO;AACL,YAAI,KAAK;AACP,iBAAO,MAAM;AAAA;AAEb,iBAAO,MAAM;AAAA,MACjB;AAAA,IACF;AAAA,EACF;AACF,CAAC;AAGD,IAAI,sBAAsB,WAAW;AAAA,EACnC,iBAAiB,SAAS;AACxB,QAAI,SAAS,WAAW;AACxB,QAAI,sBAAsB,cAAc,EAAE;AAC1C,QAAI,wBAAwB,cAAc,EAAE;AAC5C,YAAQ,0BAA0B;AAClC,QAAI,YAAY;AAChB,YAAQ,cAAc,SAAS,YAAY,SAAS,0BAA0B,YAAY;AACxF,UAAI,oCAAoC;AACxC,UAAI,cAAc,CAAC;AACnB,kBAAY,YAAY;AACxB,kBAAY,SAAS;AACrB,kBAAY,aAAa;AACzB,kBAAY,gCAAgC;AAC5C,kBAAY,WAAW;AACvB,kBAAY,cAAc;AAC1B,kBAAY,iBAAiB;AAC7B,kBAAY,gBAAgB,CAAC;AAC7B,kBAAY,YAAY,CAAC;AACzB,kBAAY,UAAU,WAAW,IAAI,IAAI;AACzC,kBAAY,IAAI,WAAW;AAC3B,kBAAY,IAAI,WAAW;AAC3B,kBAAY,IAAI,WAAW;AAC3B,kBAAY,IAAI,WAAW;AAC3B,kBAAY,OAAO,WAAW;AAC9B,kBAAY,aAAa,WAAW;AACpC,kBAAY,cAAc,CAAC;AAC3B,kBAAY,YAAY,KAAK;AAAA,QAC3B,GAAG,WAAW;AAAA,QACd,GAAG,WAAW;AAAA,QACd,GAAG,WAAW;AAAA,QACd,GAAG,WAAW;AAAA,QACd,YAAY,WAAW;AAAA,MACzB,CAAC;AACD,UAAI,YAAY,YAAY,UAAU,QAAQ,yBAAyB;AACrE,oBAAY,YAAY,MAAM;AAAA,MAChC;AACA,kBAAY,WAAW;AAAA,QACrB,IAAI;AAAA,QACJ,IAAI;AAAA,MACN;AACA,kBAAY,gBAAgB;AAC5B,kBAAY,KAAK,OAAO;AACxB,kBAAY,YAAY;AACxB;AACA,kBAAY,SAAS,SAAS,aAAa,UAAU;AACnD,YAAI,KAAK,gBAAgB;AACvB,eAAK,iBAAiB;AACtB,eAAK,gBAAgB,CAAC;AAAA,QACxB;AACA,aAAK,WAAW;AAChB,aAAK,iBAAiB;AACtB,aAAK,IAAI,YAAY;AACrB,aAAK,IAAI,YAAY;AACrB,aAAK,IAAI,YAAY;AACrB,aAAK,IAAI,YAAY;AACrB,aAAK,aAAa,YAAY;AAC9B,aAAK,YAAY,KAAK;AAAA,UACpB,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,YAAY,KAAK;AAAA,QACnB,CAAC;AACD,YAAI,YAAY,YAAY,UAAU,QAAQ,yBAAyB;AACrE,sBAAY,YAAY,MAAM;AAAA,QAChC;AACA,aAAK,OAAO,YAAY;AACxB,YAAI,KAAK,UAAU,YAAY,IAAI,GAAG;AACpC,eAAK,UAAU,YAAY,IAAI;AAAA,QACjC,OAAO;AACL,eAAK,UAAU,YAAY,IAAI,IAAI;AAAA,QACrC;AACA,aAAK,gCAAgC;AACrC,aAAK,WAAW,KAAK,qBAAqB;AAAA,MAC5C;AACA,kBAAY,gBAAgB,WAAW;AACrC,aAAK,YAAY;AACjB,eAAO;AAAA,MACT;AACA,kBAAY,kBAAkB,WAAW;AACvC,aAAK,YAAY;AACjB,eAAO;AAAA,MACT;AACA,kBAAY,YAAY,SAAS,UAAU;AACzC,YAAI,KAAK,mBAAmB,MAAM;AAChC,eAAK,iBAAiB;AACtB,eAAK,gBAAgB;AAAA,YACnB,GAAG,KAAK;AAAA,YACR,GAAG,KAAK;AAAA,YACR,GAAG,KAAK;AAAA,YACR,GAAG,KAAK;AAAA,UACV;AAAA,QACF;AACA,aAAK;AACL,aAAK,WAAW;AAChB,YAAI,KAAK,cAAc,KAAK,iBAAiB,GAAG;AAC9C,eAAK,gCAAgC;AAAA,QACvC;AAAA,MACF;AACA,kBAAY,iCAAiC,WAAW;AACtD,aAAK,YAAY,KAAK;AAAA,UACpB,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,UACR,YAAY,KAAK;AAAA,QACnB,CAAC;AACD,YAAI,YAAY,YAAY,UAAU,QAAQ,yBAAyB;AACrE,sBAAY,YAAY,MAAM;AAAA,QAChC;AACA,aAAK,IAAI,KAAK,IAAI,KAAK,SAAS;AAChC,aAAK,IAAI,KAAK,IAAI,KAAK,SAAS;AAAA,MAClC;AACA,kBAAY,sBAAsB,WAAW;AAC3C,eAAO;AAAA,UACL,GAAG,KAAK,IAAI,KAAK,SAAS;AAAA,UAC1B,GAAG,KAAK,IAAI,KAAK,SAAS;AAAA,UAC1B,GAAG,KAAK;AAAA,UACR,GAAG,KAAK;AAAA,QACV;AAAA,MACF;AACA,kBAAY,SAAS,WAAW;AAC9B,eAAO,KAAK,gCAAgC;AAAA,MAC9C;AACA,kBAAY,uBAAuB,WAAW;AAC5C,YAAI,QAAQ,2BAA2B,GAAG;AACxC,iBAAO,EAAE,IAAI,QAAQ,IAAI,OAAO;AAAA,QAClC;AACA,YAAI,KAAK,YAAY,UAAU,QAAQ,yBAAyB;AAC9D,gBAAM,QAAQ,KAAK,YAAY,CAAC;AAChC,gBAAM,MAAM,KAAK,YAAY,KAAK,YAAY,SAAS,CAAC;AACxD,iBAAO,sBAAsB,OAAO,KAAK,KAAK,YAAY,MAAM;AAAA,QAClE,OAAO;AACL,gBAAM,QAAQ,KAAK,YAAY,KAAK,YAAY,SAAS,QAAQ,uBAAuB;AACxF,gBAAM,MAAM,KAAK,YAAY,KAAK,YAAY,SAAS,CAAC;AACxD,iBAAO,sBAAsB,OAAO,KAAK,QAAQ,uBAAuB;AAAA,QAC1E;AAAA,MACF;AACA,kBAAY,uBAAuB,WAAW;AAC5C,YAAI,8BAA8B;AAClC,YAAI,oBAAoB;AACxB,eAAO,KAAK,KAAK,SAAS,EAAE,IAAI,CAAC,SAAS;AACxC,cAAI,KAAK,UAAU,IAAI,IAAI,6BAA6B;AACtD,gCAAoB;AACpB,0CAA8B,KAAK,UAAU,IAAI;AAAA,UACnD;AAAA,QACF,CAAC;AACD,eAAO;AAAA,MACT;AACA,kBAAY,cAAc,SAAS,WAAW,MAAM;AAClD,eAAO;AAAA,UACL,IAAI,KAAK;AAAA,UACT,WAAW,KAAK;AAAA,UAChB,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,YAAY,KAAK,MAAM,KAAK,aAAa,GAAG,IAAI;AAAA;AAAA,UAEhD,SAAS,SAAS,oBAAoB,KAAK,SAAS,IAAI,CAAC,KAAK,SAAS,EAAE,CAAC;AAAA,UAC1E,MAAM,KAAK,qBAAqB;AAAA,UAChC,UAAU,KAAK;AAAA,UACf,aAAa,KAAK;AAAA,UAClB,gBAAgB,KAAK;AAAA,QACvB;AAAA,MACF;AACA,kBAAY,SAAS,SAAS,WAAW,MAAM;AAC7C,eAAO;AAAA,UACL,IAAI,KAAK;AAAA,UACT,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,GAAG,WAAW,SAAS,KAAK,GAAG,EAAE,IAAI,KAAK;AAAA,UAC1C,YAAY,KAAK,MAAM,KAAK,aAAa,GAAG,IAAI;AAAA;AAAA,UAEhD,SAAS,SAAS,oBAAoB,KAAK,SAAS,IAAI,CAAC,KAAK,SAAS,EAAE,GAAG,EAAE;AAAA,UAC9E,MAAM,KAAK,qBAAqB;AAAA,UAChC,UAAU,KAAK;AAAA,QACjB;AAAA,MACF;AACA,kBAAY,QAAQ,SAAS,YAAY;AACvC,eAAO,GAAG,cAAc,KAAK,aAAa,KAAK,IAAI,KAAK,IAAI,KAAK,KAAK,IAAI,KAAK,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,aAAa;AAAA,MAChI;AACA,kBAAY,oBAAoB,WAAW;AACzC,eAAO;AAAA,UACL,IAAI,KAAK;AAAA,UACT,WAAW,KAAK;AAAA,UAChB,aAAa,KAAK;AAAA,UAClB,gBAAgB,KAAK;AAAA,UACrB,eAAe,KAAK;AAAA,UACpB,eAAe,KAAK,iBAAiB,KAAK;AAAA,UAC1C,MAAM,KAAK,qBAAqB;AAAA,QAClC;AAAA,MACF;AACA,aAAO;AAAA,IACT;AACA,YAAQ,QAAQ,WAAW;AACzB,kBAAY;AAAA,IACd;AAAA,EACF;AACF,CAAC;AAGD,IAAI,qBAAqB,WAAW;AAAA,EAClC,oBAAoB,SAAS;AAC3B,KAAC,SAAS,MAAM,SAAS;AACvB,UAAI,OAAO,WAAW,cAAc,OAAO,KAAK;AAC9C,eAAO,CAAC,SAAS,GAAG,OAAO;AAAA,MAC7B,WAAW,OAAO,YAAY,UAAU;AACtC,gBAAQ,OAAO;AAAA,MACjB,OAAO;AACL,gBAAQ,IAAI;AAAA,MACd;AAAA,IACF,GAAG,SAAS,SAAS,UAAU;AAC7B,eAAS,KAAK,KAAK,WAAW,QAAQ;AACpC,aAAK,MAAM;AACX,aAAK,OAAO;AACZ,aAAK,QAAQ;AACb,aAAK,SAAS;AACd,aAAK,YAAY;AAAA,MACnB;AACA,aAAO,MAAM,MAAM;AACnB,eAAS,OAAO,QAAQ,QAAQ,YAAY;AAC1C,YAAI,OAAO;AACX,iBAAS,UAAU,SAAS,OAAO,QAAQ;AACzC,cAAI,MAAM,QAAQ,WAAW,QAAQ,QAAQ;AAC7C,cAAI,QAAQ,WAAW,GAAG;AACxB,mBAAO;AAAA,UACT;AACA,cAAI,QAAQ,WAAW,GAAG;AACxB,mBAAO,IAAI,KAAK,QAAQ,CAAC,GAAG,KAAK,MAAM;AAAA,UACzC;AACA,kBAAQ,KAAK,SAAS,GAAG,GAAG;AAC1B,mBAAO,EAAE,WAAW,GAAG,CAAC,IAAI,EAAE,WAAW,GAAG,CAAC;AAAA,UAC/C,CAAC;AACD,mBAAS,KAAK,MAAM,QAAQ,SAAS,CAAC;AACtC,iBAAO,IAAI,KAAK,QAAQ,MAAM,GAAG,KAAK,MAAM;AAC5C,eAAK,OAAO,UAAU,QAAQ,MAAM,GAAG,MAAM,GAAG,QAAQ,GAAG,IAAI;AAC/D,eAAK,QAAQ,UAAU,QAAQ,MAAM,SAAS,CAAC,GAAG,QAAQ,GAAG,IAAI;AACjE,iBAAO;AAAA,QACT;AACA,eAAO,WAAW,WAAW;AAC7B,iBAAS,SAAS,MAAM;AACtB,eAAK,OAAO;AACZ,mBAAS,cAAc,MAAM;AAC3B,gBAAI,KAAK,MAAM;AACb,mBAAK,KAAK,SAAS;AACnB,4BAAc,KAAK,IAAI;AAAA,YACzB;AACA,gBAAI,KAAK,OAAO;AACd,mBAAK,MAAM,SAAS;AACpB,4BAAc,KAAK,KAAK;AAAA,YAC1B;AAAA,UACF;AACA,iBAAO,eAAe,eAAe;AACrC,wBAAc,KAAK,IAAI;AAAA,QACzB;AACA,eAAO,UAAU,UAAU;AAC3B,YAAI,CAAC,MAAM,QAAQ,MAAM;AACvB,mBAAS,QAAQ,QAAQ,UAAU;AAAA;AAEnC,eAAK,OAAO,UAAU,QAAQ,GAAG,IAAI;AACvC,aAAK,SAAS,SAAS,KAAK;AAC1B,cAAI,CAAC;AACH,kBAAM,KAAK;AACb,cAAI,OAAO,IAAI,KAAK,IAAI,KAAK,IAAI,WAAW,IAAI;AAChD,cAAI,IAAI;AACN,iBAAK,OAAO,KAAK,OAAO,IAAI,IAAI;AAClC,cAAI,IAAI;AACN,iBAAK,QAAQ,KAAK,OAAO,IAAI,KAAK;AACpC,iBAAO;AAAA,QACT;AACA,aAAK,SAAS,SAAS,OAAO;AAC5B,mBAAS,YAAY,MAAM,QAAQ;AACjC,gBAAI,SAAS,MAAM;AACjB,qBAAO;AAAA,YACT;AACA,gBAAI,aAAa,WAAW,KAAK,SAAS;AAC1C,gBAAI,MAAM,UAAU,IAAI,KAAK,IAAI,UAAU,GAAG;AAC5C,qBAAO,YAAY,KAAK,MAAM,IAAI;AAAA,YACpC,OAAO;AACL,qBAAO,YAAY,KAAK,OAAO,IAAI;AAAA,YACrC;AAAA,UACF;AACA,iBAAO,aAAa,aAAa;AACjC,cAAI,iBAAiB,YAAY,KAAK,MAAM,IAAI,GAAG,SAAS;AAC5D,cAAI,mBAAmB,MAAM;AAC3B,iBAAK,OAAO,IAAI,KAAK,OAAO,GAAG,IAAI;AACnC;AAAA,UACF;AACA,oBAAU,IAAI,KAAK,QAAQ,eAAe,YAAY,KAAK,WAAW,QAAQ,cAAc;AAC5F,sBAAY,WAAW,eAAe,SAAS;AAC/C,cAAI,MAAM,SAAS,IAAI,eAAe,IAAI,SAAS,GAAG;AACpD,2BAAe,OAAO;AAAA,UACxB,OAAO;AACL,2BAAe,QAAQ;AAAA,UACzB;AAAA,QACF;AACA,aAAK,SAAS,SAAS,OAAO;AAC5B,cAAI;AACJ,mBAAS,WAAW,OAAO;AACzB,gBAAI,UAAU,MAAM;AAClB,qBAAO;AAAA,YACT;AACA,gBAAI,MAAM,QAAQ,OAAO;AACvB,qBAAO;AAAA,YACT;AACA,gBAAI,YAAY,WAAW,MAAM,SAAS;AAC1C,gBAAI,MAAM,SAAS,IAAI,MAAM,IAAI,SAAS,GAAG;AAC3C,qBAAO,WAAW,MAAM,MAAM,KAAK;AAAA,YACrC,OAAO;AACL,qBAAO,WAAW,MAAM,OAAO,KAAK;AAAA,YACtC;AAAA,UACF;AACA,iBAAO,YAAY,YAAY;AAC/B,mBAAS,WAAW,OAAO;AACzB,gBAAI,UAAU,SAAS;AACvB,qBAAS,QAAQ,OAAO,KAAK;AAC3B,kBAAI,WAAW,KAAK,MAAM,OAAO;AACjC,kBAAI,UAAU,MAAM;AAClB,uBAAO;AAAA,cACT;AACA,0BAAY,WAAW,GAAG;AAC1B,kBAAI,MAAM,cAAc,KAAK;AAC3B,oBAAI,MAAM,SAAS,MAAM;AACvB,yBAAO,QAAQ,MAAM,MAAM,GAAG;AAAA,gBAChC;AACA,uBAAO;AAAA,cACT;AACA,oBAAM,MAAM,IAAI,SAAS;AACzB,qBAAO,QAAQ,MAAM,MAAM,GAAG;AAC9B,sBAAQ,QAAQ,MAAM,OAAO,GAAG;AAChC,oBAAM;AACN,kBAAI,SAAS,QAAQ,KAAK,IAAI,SAAS,IAAI,KAAK;AAC9C,sBAAM;AAAA,cACR;AACA,kBAAI,UAAU,QAAQ,MAAM,IAAI,SAAS,IAAI,IAAI,IAAI,SAAS,GAAG;AAC/D,sBAAM;AAAA,cACR;AACA,qBAAO;AAAA,YACT;AACA,mBAAO,SAAS,SAAS;AACzB,gBAAI,MAAM,SAAS,QAAQ,MAAM,UAAU,MAAM;AAC/C,kBAAI,MAAM,WAAW,MAAM;AACzB,qBAAK,OAAO;AACZ;AAAA,cACF;AACA,2BAAa,WAAW,MAAM,OAAO,SAAS;AAC9C,kBAAI,MAAM,IAAI,UAAU,IAAI,MAAM,OAAO,IAAI,UAAU,GAAG;AACxD,sBAAM,OAAO,OAAO;AAAA,cACtB,OAAO;AACL,sBAAM,OAAO,QAAQ;AAAA,cACvB;AACA;AAAA,YACF;AACA,gBAAI,MAAM,UAAU,MAAM;AACxB,yBAAW,QAAQ,MAAM,OAAO,MAAM,SAAS;AAC/C,wBAAU,SAAS;AACnB,yBAAW,QAAQ;AACnB,oBAAM,MAAM;AAAA,YACd,OAAO;AACL,yBAAW,QAAQ,MAAM,MAAM,MAAM,SAAS;AAC9C,wBAAU,SAAS;AACnB,yBAAW,QAAQ;AACnB,oBAAM,QAAQ,MAAM;AACpB,oBAAM,OAAO;AACb,oBAAM,MAAM;AAAA,YACd;AAAA,UACF;AACA,iBAAO,YAAY,YAAY;AAC/B,iBAAO,WAAW,KAAK,IAAI;AAC3B,cAAI,SAAS,MAAM;AACjB;AAAA,UACF;AACA,qBAAW,IAAI;AAAA,QACjB;AACA,aAAK,UAAU,SAAS,OAAO,UAAU,aAAa;AACpD,cAAI,GAAG,QAAQ;AACf,sBAAY,IAAI;AAAA,YACd,SAAS,GAAG;AACV,qBAAO,CAAC,EAAE,CAAC;AAAA,YACb;AAAA,UACF;AACA,mBAAS,cAAc,MAAM;AAC3B,gBAAI,WAAW,YAAY,WAAW,KAAK,SAAS,GAAG,cAAc,OAAO,OAAO,KAAK,GAAG,GAAG,cAAc,CAAC,GAAG,gBAAgB,YAAY;AAC5I,qBAAS,SAAS,OAAO,UAAU;AACjC,wBAAU,KAAK,CAAC,OAAO,QAAQ,CAAC;AAChC,kBAAI,UAAU,KAAK,IAAI,UAAU;AAC/B,0BAAU,IAAI;AAAA,cAChB;AAAA,YACF;AACA,mBAAO,UAAU,UAAU;AAC3B,iBAAK,KAAK,GAAG,KAAK,WAAW,QAAQ,MAAM,GAAG;AAC5C,kBAAI,OAAO,KAAK,WAAW;AACzB,4BAAY,WAAW,EAAE,CAAC,IAAI,MAAM,WAAW,EAAE,CAAC;AAAA,cACpD,OAAO;AACL,4BAAY,WAAW,EAAE,CAAC,IAAI,KAAK,IAAI,WAAW,EAAE,CAAC;AAAA,cACvD;AAAA,YACF;AACA,6BAAiB,OAAO,aAAa,KAAK,GAAG;AAC7C,gBAAI,KAAK,UAAU,QAAQ,KAAK,SAAS,MAAM;AAC7C,kBAAI,UAAU,KAAK,IAAI,YAAY,cAAc,UAAU,KAAK,EAAE,CAAC,GAAG;AACpE,yBAAS,MAAM,WAAW;AAAA,cAC5B;AACA;AAAA,YACF;AACA,gBAAI,KAAK,UAAU,MAAM;AACvB,0BAAY,KAAK;AAAA,YACnB,WAAW,KAAK,SAAS,MAAM;AAC7B,0BAAY,KAAK;AAAA,YACnB,OAAO;AACL,kBAAI,MAAM,SAAS,IAAI,KAAK,IAAI,SAAS,GAAG;AAC1C,4BAAY,KAAK;AAAA,cACnB,OAAO;AACL,4BAAY,KAAK;AAAA,cACnB;AAAA,YACF;AACA,0BAAc,SAAS;AACvB,gBAAI,UAAU,KAAK,IAAI,YAAY,cAAc,UAAU,KAAK,EAAE,CAAC,GAAG;AACpE,uBAAS,MAAM,WAAW;AAAA,YAC5B;AACA,gBAAI,UAAU,KAAK,IAAI,YAAY,KAAK,IAAI,cAAc,IAAI,UAAU,KAAK,EAAE,CAAC,GAAG;AACjF,kBAAI,cAAc,KAAK,MAAM;AAC3B,6BAAa,KAAK;AAAA,cACpB,OAAO;AACL,6BAAa,KAAK;AAAA,cACpB;AACA,kBAAI,eAAe,MAAM;AACvB,8BAAc,UAAU;AAAA,cAC1B;AAAA,YACF;AAAA,UACF;AACA,iBAAO,eAAe,eAAe;AACrC,cAAI,aAAa;AACf,iBAAK,IAAI,GAAG,IAAI,UAAU,KAAK,GAAG;AAChC,wBAAU,KAAK,CAAC,MAAM,WAAW,CAAC;AAAA,YACpC;AAAA,UACF;AACA,cAAI,KAAK;AACP,0BAAc,KAAK,IAAI;AACzB,mBAAS,CAAC;AACV,eAAK,IAAI,GAAG,IAAI,KAAK,IAAI,UAAU,UAAU,QAAQ,MAAM,GAAG,KAAK,GAAG;AACpE,gBAAI,UAAU,QAAQ,CAAC,EAAE,CAAC,GAAG;AAC3B,qBAAO,KAAK,CAAC,UAAU,QAAQ,CAAC,EAAE,CAAC,EAAE,KAAK,UAAU,QAAQ,CAAC,EAAE,CAAC,CAAC,CAAC;AAAA,YACpE;AAAA,UACF;AACA,iBAAO;AAAA,QACT;AACA,aAAK,gBAAgB,WAAW;AAC9B,mBAAS,OAAO,MAAM;AACpB,gBAAI,SAAS,MAAM;AACjB,qBAAO;AAAA,YACT;AACA,mBAAO,KAAK,IAAI,OAAO,KAAK,IAAI,GAAG,OAAO,KAAK,KAAK,CAAC,IAAI;AAAA,UAC3D;AACA,iBAAO,QAAQ,QAAQ;AACvB,mBAAS,MAAM,MAAM;AACnB,gBAAI,SAAS,MAAM;AACjB,qBAAO;AAAA,YACT;AACA,mBAAO,MAAM,KAAK,IAAI,IAAI,MAAM,KAAK,KAAK,IAAI;AAAA,UAChD;AACA,iBAAO,OAAO,OAAO;AACrB,iBAAO,OAAO,KAAK,IAAI,KAAK,KAAK,IAAI,MAAM,KAAK,IAAI,CAAC,IAAI,KAAK,IAAI,CAAC;AAAA,QACrE;AAAA,MACF;AACA,aAAO,QAAQ,QAAQ;AACvB,eAAS,WAAW,eAAe;AACjC,aAAK,UAAU,CAAC;AAChB,aAAK,gBAAgB;AAAA,MACvB;AACA,aAAO,YAAY,YAAY;AAC/B,iBAAW,YAAY;AAAA,QACrB,MAAM,SAAS,SAAS;AACtB,eAAK,QAAQ,KAAK,OAAO;AACzB,eAAK,SAAS,KAAK,QAAQ,SAAS,CAAC;AAAA,QACvC;AAAA,QACA,KAAK,WAAW;AACd,cAAI,SAAS,KAAK,QAAQ,CAAC;AAC3B,cAAI,MAAM,KAAK,QAAQ,IAAI;AAC3B,cAAI,KAAK,QAAQ,SAAS,GAAG;AAC3B,iBAAK,QAAQ,CAAC,IAAI;AAClB,iBAAK,SAAS,CAAC;AAAA,UACjB;AACA,iBAAO;AAAA,QACT;AAAA,QACA,MAAM,WAAW;AACf,iBAAO,KAAK,QAAQ,CAAC;AAAA,QACvB;AAAA,QACA,QAAQ,SAAS,MAAM;AACrB,cAAI,MAAM,KAAK,QAAQ;AACvB,mBAAS,IAAI,GAAG,IAAI,KAAK,KAAK;AAC5B,gBAAI,KAAK,QAAQ,CAAC,KAAK,MAAM;AAC3B,kBAAI,MAAM,KAAK,QAAQ,IAAI;AAC3B,kBAAI,KAAK,MAAM,GAAG;AAChB,qBAAK,QAAQ,CAAC,IAAI;AAClB,oBAAI,KAAK,cAAc,GAAG,IAAI,KAAK,cAAc,IAAI;AACnD,uBAAK,SAAS,CAAC;AAAA;AAEf,uBAAK,SAAS,CAAC;AAAA,cACnB;AACA;AAAA,YACF;AAAA,UACF;AACA,gBAAM,IAAI,MAAM,iBAAiB;AAAA,QACnC;AAAA,QACA,MAAM,WAAW;AACf,iBAAO,KAAK,QAAQ;AAAA,QACtB;AAAA,QACA,UAAU,SAAS,GAAG;AACpB,cAAI,UAAU,KAAK,QAAQ,CAAC;AAC5B,iBAAO,IAAI,GAAG;AACZ,gBAAI,UAAU,KAAK,OAAO,IAAI,KAAK,CAAC,IAAI,GAAG,SAAS,KAAK,QAAQ,OAAO;AACxE,gBAAI,KAAK,cAAc,OAAO,IAAI,KAAK,cAAc,MAAM,GAAG;AAC5D,mBAAK,QAAQ,OAAO,IAAI;AACxB,mBAAK,QAAQ,CAAC,IAAI;AAClB,kBAAI;AAAA,YACN,OAAO;AACL;AAAA,YACF;AAAA,UACF;AAAA,QACF;AAAA,QACA,UAAU,SAAS,GAAG;AACpB,cAAI,SAAS,KAAK,QAAQ,QAAQ,UAAU,KAAK,QAAQ,CAAC,GAAG,YAAY,KAAK,cAAc,OAAO;AACnG,iBAAO,MAAM;AACX,gBAAI,WAAW,IAAI,KAAK,GAAG,UAAU,UAAU;AAC/C,gBAAI,OAAO;AACX,gBAAI,UAAU,QAAQ;AACpB,kBAAI,SAAS,KAAK,QAAQ,OAAO,GAAG,cAAc,KAAK,cAAc,MAAM;AAC3E,kBAAI,cAAc;AAChB,uBAAO;AAAA,YACX;AACA,gBAAI,UAAU,QAAQ;AACpB,kBAAI,SAAS,KAAK,QAAQ,OAAO,GAAG,cAAc,KAAK,cAAc,MAAM;AAC3E,kBAAI,eAAe,QAAQ,OAAO,YAAY,cAAc;AAC1D,uBAAO;AAAA,cACT;AAAA,YACF;AACA,gBAAI,QAAQ,MAAM;AAChB,mBAAK,QAAQ,CAAC,IAAI,KAAK,QAAQ,IAAI;AACnC,mBAAK,QAAQ,IAAI,IAAI;AACrB,kBAAI;AAAA,YACN,OAAO;AACL;AAAA,YACF;AAAA,UACF;AAAA,QACF;AAAA,MACF;AACA,eAAS,SAAS;AAClB,eAAS,aAAa;AAAA,IACxB,CAAC;AAAA,EACH;AACF,CAAC;AAGD,IAAI,kBAAkB,WAAW;AAAA,EAC/B,yEAAyE,SAAS,QAAQ;AACxF,QAAI,WAAW,SAAS,OAAO,mBAAmB,CAAC,MAAM,KAAK,OAAO,KAAK;AAC1E,QAAI,oBAAoB;AACxB,aAAS,UAAU;AACjB,WAAK,IAAI;AACT,WAAK,cAAc,CAAC;AACpB,WAAK,cAAc,CAAC;AACpB,WAAK,IAAI;AACT,WAAK,OAAO;AACZ,WAAK,OAAO;AACZ,WAAK,SAAS;AACd,WAAK,OAAO;AAAA,IACd;AACA,WAAO,SAAS,SAAS;AACzB,YAAQ,UAAU,aAAa,SAAS,QAAQ,WAAW;AACzD,kBAAY,aAAa;AACzB,UAAI,cAAc;AAClB,UAAI,aAAa,OAAO;AACxB,UAAI;AACJ,WAAK,IAAI,GAAG,IAAI,YAAY,EAAE;AAC5B,YAAI,OAAO,CAAC,EAAE,SAAS;AACrB,wBAAc,OAAO,CAAC,EAAE;AAC5B,mBAAa,cAAc,aAAa,cAAc;AACtD,UAAI,aAAa,CAAC;AAClB,WAAK,IAAI,GAAG,IAAI,YAAY,EAAE,GAAG;AAC/B,YAAI,MAAM,OAAO,CAAC,KAAK,CAAC;AACxB,YAAI,UAAU,IAAI,MAAM;AACxB,eAAO,aAAa,QAAQ;AAC1B,kBAAQ,KAAK,SAAS;AACxB,mBAAW,KAAK,OAAO;AAAA,MACzB;AACA,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,UAAU,SAAS,aAAa,SAAS;AACzD,gBAAU,WAAW,CAAC;AACtB,cAAQ,WAAW,QAAQ,YAAY;AACvC,WAAK,IAAI,KAAK,WAAW,aAAa,QAAQ,QAAQ;AACtD,WAAK,IAAI,KAAK,EAAE;AAChB,WAAK,kBAAkB,YAAY;AACnC,WAAK,iBAAiB,YAAY,CAAC,EAAE;AACrC,UAAI,cAAc,CAAC;AACnB,aAAO,YAAY,SAAS,KAAK;AAC/B,oBAAY,KAAK,KAAK;AACxB,WAAK,cAAc,YAAY,MAAM;AACrC,WAAK,cAAc,YAAY,MAAM;AACrC,WAAK,OAAO;AACZ,WAAK,OAAO;AACZ,WAAK,OAAO,KAAK,cAAc,KAAK,IAAI,GAAG,CAAC;AAC5C,WAAK,SAAS,KAAK,cAAc,KAAK,GAAG,CAAC;AAC1C,UAAI,OAAO;AACX,UAAI,QAAQ;AAAA,QACV,GAAG,KAAK;AAAA,QACR,GAAG,KAAK;AAAA,QACR,GAAG,KAAK;AAAA,QACR,GAAG,KAAK;AAAA,QACR,GAAG,KAAK;AAAA,QACR,GAAG,KAAK;AAAA,MACV;AACA,aAAO,MAAM;AACX,YAAI,OAAO,MAAM,IAAI;AACrB,YAAI,CAAC;AACH;AACF,eAAO,KAAK,MAAM,IAAI;AAAA,MACxB;AACA,UAAI,UAAU,CAAC;AACf,eAAS,IAAI,GAAG,IAAI,KAAK,iBAAiB,EAAE;AAC1C,iBAAS,IAAI,GAAG,IAAI,KAAK,gBAAgB,EAAE;AACzC,cAAI,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK;AACvB,oBAAQ,KAAK,CAAC,GAAG,CAAC,CAAC;AACzB,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,gBAAgB,SAAS,GAAG,KAAK;AACjD,UAAI,SAAS,CAAC;AACd,eAAS,IAAI,GAAG,IAAI,GAAG,EAAE,GAAG;AAC1B,eAAO,CAAC,IAAI,CAAC;AACb,iBAAS,IAAI,GAAG,IAAI,GAAG,EAAE;AACvB,iBAAO,CAAC,EAAE,CAAC,IAAI;AAAA,MACnB;AACA,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,YAAI,SAAS,KAAK,IAAI,MAAM,MAAM,KAAK,EAAE,CAAC,CAAC;AAC3C,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,eAAK,EAAE,CAAC,EAAE,CAAC,KAAK;AAAA,MACpB;AACA,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,cAAI,KAAK,EAAE,CAAC,EAAE,CAAC,MAAM,KAAK,CAAC,KAAK,YAAY,CAAC,KAAK,CAAC,KAAK,YAAY,CAAC,GAAG;AACtE,iBAAK,OAAO,CAAC,EAAE,CAAC,IAAI;AACpB,iBAAK,YAAY,CAAC,IAAI;AACtB,iBAAK,YAAY,CAAC,IAAI;AACtB;AAAA,UACF;AAAA,QACF;AAAA,MACF;AACA,WAAK,eAAe;AACpB,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,UAAI,QAAQ;AACZ,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,cAAI,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK,KAAK,KAAK,YAAY,CAAC,KAAK,OAAO;AAC1D,iBAAK,YAAY,CAAC,IAAI;AACtB,cAAE;AAAA,UACJ;AAAA,QACF;AAAA,MACF;AACA,aAAO,SAAS,KAAK,IAAI,IAAI;AAAA,IAC/B;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,UAAI,OAAO;AACX,UAAI,MAAM,IAAI,MAAM,IAAI,WAAW;AACnC,aAAO,CAAC,MAAM;AACZ,YAAI,IAAI,KAAK,cAAc;AAC3B,cAAM,EAAE,CAAC;AACT,cAAM,EAAE,CAAC;AACT,YAAI,MAAM;AACR,iBAAO;AACT,aAAK,OAAO,GAAG,EAAE,GAAG,IAAI;AACxB,mBAAW,KAAK,mBAAmB,GAAG;AACtC,YAAI,YAAY,GAAG;AACjB,gBAAM;AACN,eAAK,YAAY,GAAG,IAAI;AACxB,eAAK,YAAY,GAAG,IAAI;AAAA,QAC1B,OAAO;AACL,eAAK,OAAO;AACZ,eAAK,OAAO;AACZ,iBAAO;AAAA,QACT;AAAA,MACF;AAAA,IACF;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,UAAI,QAAQ;AACZ,WAAK,KAAK,KAAK,EAAE,CAAC,IAAI,KAAK;AAC3B,WAAK,KAAK,KAAK,EAAE,CAAC,IAAI,KAAK;AAC3B,UAAI,OAAO;AACX,aAAO,CAAC,MAAM;AACZ,YAAI,MAAM,KAAK,mBAAmB,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC;AACrD,YAAI,OAAO,GAAG;AACZ;AACA,eAAK,KAAK,KAAK,EAAE,CAAC,IAAI;AACtB,eAAK,KAAK,KAAK,EAAE,CAAC,IAAI,KAAK,KAAK,QAAQ,CAAC,EAAE,CAAC;AAAA,QAC9C,OAAO;AACL,iBAAO;AAAA,QACT;AACA,YAAI,CAAC,MAAM;AACT,cAAI,MAAM,KAAK,oBAAoB,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC;AACtD;AACA,eAAK,KAAK,KAAK,EAAE,CAAC,IAAI,KAAK,KAAK,QAAQ,CAAC,EAAE,CAAC;AAC5C,eAAK,KAAK,KAAK,EAAE,CAAC,IAAI;AAAA,QACxB;AAAA,MACF;AACA,WAAK,eAAe,KAAK,MAAM,KAAK;AACpC,WAAK,eAAe;AACpB,WAAK,eAAe;AACpB,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,UAAU,WAAW;AACrC,UAAI,SAAS,KAAK,gBAAgB;AAClC,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,cAAI,KAAK,YAAY,CAAC;AACpB,iBAAK,EAAE,CAAC,EAAE,CAAC,KAAK;AAClB,cAAI,CAAC,KAAK,YAAY,CAAC;AACrB,iBAAK,EAAE,CAAC,EAAE,CAAC,KAAK;AAAA,QACpB;AAAA,MACF;AACA,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,kBAAkB,WAAW;AAC7C,UAAI,SAAS;AACb,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,cAAI,CAAC,KAAK,YAAY,CAAC,KAAK,CAAC,KAAK,YAAY,CAAC,GAAG;AAChD,gBAAI,SAAS,KAAK,EAAE,CAAC,EAAE,CAAC;AACtB,uBAAS,KAAK,EAAE,CAAC,EAAE,CAAC;AAAA,UACxB;AACJ,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,gBAAgB,WAAW;AAC3C,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,cAAI,KAAK,EAAE,CAAC,EAAE,CAAC,MAAM,KAAK,CAAC,KAAK,YAAY,CAAC,KAAK,CAAC,KAAK,YAAY,CAAC;AACnE,mBAAO,CAAC,GAAG,CAAC;AAClB,aAAO,CAAC,IAAI,EAAE;AAAA,IAChB;AACA,YAAQ,UAAU,qBAAqB,SAAS,KAAK;AACnD,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,YAAI,KAAK,OAAO,GAAG,EAAE,CAAC,KAAK;AACzB,iBAAO;AACX,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,qBAAqB,SAAS,KAAK;AACnD,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,YAAI,KAAK,OAAO,CAAC,EAAE,GAAG,KAAK;AACzB,iBAAO;AACX,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,sBAAsB,SAAS,KAAK;AACpD,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,YAAI,KAAK,OAAO,GAAG,EAAE,CAAC,KAAK;AACzB,iBAAO;AACX,aAAO;AAAA,IACT;AACA,YAAQ,UAAU,iBAAiB,SAAS,MAAM,OAAO;AACvD,eAAS,IAAI,GAAG,KAAK,OAAO,EAAE;AAC5B,aAAK,OAAO,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,IAAI,KAAK,OAAO,KAAK,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,KAAK,IAAI,IAAI;AAAA,IACzF;AACA,YAAQ,UAAU,iBAAiB,WAAW;AAC5C,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE,GAAG;AAC/B,aAAK,YAAY,CAAC,IAAI;AACtB,aAAK,YAAY,CAAC,IAAI;AAAA,MACxB;AAAA,IACF;AACA,YAAQ,UAAU,iBAAiB,WAAW;AAC5C,eAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,iBAAS,IAAI,GAAG,IAAI,KAAK,GAAG,EAAE;AAC5B,cAAI,KAAK,OAAO,CAAC,EAAE,CAAC,KAAK;AACvB,iBAAK,OAAO,CAAC,EAAE,CAAC,IAAI;AAAA,IAC5B;AACA,aAAS,iBAAiB,eAAe,oBAAoB;AAC3D,UAAI,GAAG;AACP,UAAI,CAAC,oBAAoB;AACvB,YAAI,UAAU,KAAK;AACnB,aAAK,IAAI,GAAG,IAAI,cAAc,QAAQ,EAAE;AACtC,eAAK,IAAI,GAAG,IAAI,cAAc,CAAC,EAAE,QAAQ,EAAE;AACzC,gBAAI,cAAc,CAAC,EAAE,CAAC,IAAI;AACxB,wBAAU,cAAc,CAAC,EAAE,CAAC;AAClC,6BAAqC,OAAO,SAAS,GAAG;AACtD,iBAAO,UAAU;AAAA,QACnB,GAAG,oBAAoB;AAAA,MACzB;AACA,UAAI,cAAc,CAAC;AACnB,WAAK,IAAI,GAAG,IAAI,cAAc,QAAQ,EAAE,GAAG;AACzC,YAAI,MAAM,cAAc,CAAC;AACzB,oBAAY,CAAC,IAAI,CAAC;AAClB,aAAK,IAAI,GAAG,IAAI,IAAI,QAAQ,EAAE;AAC5B,sBAAY,CAAC,EAAE,CAAC,IAAI,mBAAmB,cAAc,CAAC,EAAE,CAAC,CAAC;AAAA,MAC9D;AACA,aAAO;AAAA,IACT;AACA,WAAO,kBAAkB,kBAAkB;AAC3C,aAAS,cAAc,QAAQ;AAC7B,UAAI,eAAe,CAAC;AACpB,UAAI,GAAG;AACP,WAAK,IAAI,GAAG,IAAI,OAAO,QAAQ,EAAE,GAAG;AAClC,aAAK,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,QAAQ,EAAE,GAAG;AACrC,cAAI,aAAa,OAAO,OAAO,CAAC,EAAE,CAAC,CAAC,EAAE;AACtC,cAAI,CAAC,aAAa,CAAC,KAAK,cAAc,aAAa,CAAC;AAClD,yBAAa,CAAC,IAAI;AAAA,QACtB;AAAA,MACF;AACA,UAAI,YAAY;AAChB,WAAK,IAAI,GAAG,IAAI,OAAO,QAAQ,EAAE,GAAG;AAClC,aAAK,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,QAAQ,EAAE,GAAG;AACrC,cAAI,IAAI,OAAO,OAAO,CAAC,EAAE,CAAC,CAAC;AAC3B,iBAAO,EAAE,SAAS,aAAa,CAAC;AAC9B,gBAAI,MAAM;AACZ,uBAAa;AACb,cAAI,KAAK,OAAO,CAAC,EAAE,SAAS;AAC1B,yBAAa;AAAA,QACjB;AACA,YAAI,KAAK,OAAO,CAAC,EAAE,SAAS;AAC1B,uBAAa;AAAA,MACjB;AACA,aAAO;AAAA,IACT;AACA,WAAO,eAAe,eAAe;AACrC,aAAS,eAAe,aAAa,SAAS;AAC5C,UAAI,IAAI,IAAI,QAAQ;AACpB,aAAO,EAAE,QAAQ,aAAa,OAAO;AAAA,IACvC;AACA,WAAO,gBAAgB,gBAAgB;AACvC,mBAAe,UAAU;AACzB,mBAAe,gBAAgB;AAC/B,mBAAe,mBAAmB;AAClC,mBAAe,UAAU;AACzB,QAAI,OAAO,WAAW,eAAe,OAAO,SAAS;AACnD,aAAO,UAAU;AAAA,IACnB;AAAA,EACF;AACF,CAAC;AAGD,IAAI,kBAAkB,WAAW;AAAA,EAC/B,aAAa,SAAS;AACpB,QAAI,oBAAoB,oBAAoB;AAC5C,QAAI,cAAc,kBAAkB;AACpC,QAAI,SAAS,mBAAmB,EAAE;AAClC,QAAI,WAAW,cAAc,EAAE;AAC/B,QAAI,UAAU,gBAAgB;AAC9B,QAAI,aAAa;AACjB,QAAI,cAA8B,OAAO,SAAS,OAAO,OAAO;AAC9D,UAAI,MAAM,SAAS,OAAO,KAAK;AAC/B,UAAI,WAAW,IAAI;AACnB,UAAI,WAAW,IAAI,OAAO,UAAU;AAClC,mBAAW,OAAO,gBAAgB;AAAA,MACpC;AACA,aAAO;AAAA,IACT,GAAG,aAAa;AAChB,QAAI,SAAS;AAAA;AAAA;AAAA,MAGX,0BAA0B;AAAA;AAAA;AAAA,MAG1B,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA,MAKV,YAAY;AAAA;AAAA,MAEZ,cAAc;AAAA;AAAA;AAAA,MAGd,eAAe;AAAA;AAAA;AAAA,MAGf,mBAAmB;AAAA,IACrB;AACA,QAAI,oBAAoC,oBAAI,IAAI;AAChD,QAAI,uBAAuC,oBAAI,IAAI;AACnD,QAAI,yBAAyB;AAC7B,YAAQ,kBAAkB;AAC1B,YAAQ,iCAAiC,SAAS,uBAAuB,SAAS;AAChF,UAAI,mBAAmB,IAAI,OAAO,MAAM,KAAK,kBAAkB,OAAO,CAAC,GAAG,OAAO,cAAc,CAAC,KAAK,KAAK,KAAK,GAAG,CAAC;AACnH,UAAI,4BAA4B,IAAI,OAAO,uBAAuB,OAAO,cAAc,CAAC,KAAK,KAAK,KAAK,GAAG,CAAC;AAC3G,UAAI,kBAAkB,SAAS,GAAG;AAChC,8BAAsB,QAAQ,SAAS,cAAc;AACnD,cAAI,iBAAiB,IAAI,YAAY,cAAc,SAAS,OAAO,0BAA0B,OAAO,UAAU;AAC9G,4BAAkB,IAAI,eAAe,IAAI,cAAc;AACvD,2BAAiB,OAAO,cAAc;AAAA,QACxC,CAAC;AAAA,MACH,OAAO;AACL,YAAI,cAAc,IAAI,MAAM,sBAAsB,MAAM;AACxD,oBAAY,KAAK,KAAK;AACtB,YAAI,sBAAsB,SAAS,GAAG;AACpC,cAAI,OAAO,sBAAsB,WAAW;AAC1C,gBAAI,iBAAiB,MAAM,KAAK,kBAAkB,KAAK,CAAC;AACxD,gBAAI,aAAa,MAAM,KAAK,kBAAkB,OAAO,CAAC,EAAE,IAAI,CAAC,gBAAgB;AAC3E,kBAAI,oBAAoB,YAAY,oBAAoB;AACxD,qBAAO,sBAAsB;AAAA,gBAC3B,CAAC,cAAc,OAAO,aAAa,mBAAmB,SAAS;AAAA,cACjE;AAAA,YACF,CAAC;AACD,8BAAkB,QAAQ,SAAS,aAAa;AAC9C,0BAAY,cAAc;AAAA,YAC5B,CAAC;AACD,oBAAQ,UAAU,EAAE,OAAO,CAAC,MAAM,WAAW,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,KAAK,OAAO,aAAa,EAAE,QAAQ,CAAC,MAAM;AAC/F,kBAAI,cAAc,kBAAkB,IAAI,eAAe,EAAE,CAAC,CAAC,CAAC;AAC5D,kBAAI,+BAA+B,sBAAsB,EAAE,CAAC,CAAC;AAC7D,0BAAY,EAAE,CAAC,CAAC,IAAI,EAAE,WAAW,YAAY,UAAU;AACvD,0BAAY,gBAAgB,EAAE,OAAO,8BAA8B,OAAO;AAAA,YAC5E,CAAC;AACD,wBAAY,QAAQ,SAAS,SAAS,OAAO;AAC3C,kBAAI,CAAC,SAAS;AACZ,oBAAI,KAAK,IAAI,GAAG,WAAW,IAAI,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,IAAI,OAAO,eAAe;AACvE,sBAAI,iBAAiB,YAAY,sBAAsB,KAAK,GAAG,SAAS,OAAO,0BAA0B,OAAO,UAAU;AAC1H,oCAAkB,IAAI,eAAe,IAAI,cAAc;AACvD,iCAAe,gBAAgB;AAC/B,6BAAW,KAAK,sBAAsB;AAAA,oBACpC,CAAC,cAAc,OAAO,aAAa,gBAAgB,SAAS;AAAA,kBAC9D,CAAC;AAAA,gBACH;AAAA,cACF;AAAA,YACF,CAAC;AAAA,UACH,WAAW,OAAO,sBAAsB,UAAU;AAChD,8BAAkB,QAAQ,SAAS,aAAa;AAC9C,kBAAI,oBAAoB,YAAY,oBAAoB;AACxD,0BAAY,cAAc;AAC1B,kBAAI,mBAAmB,0BAA0B,QAAQ,mBAAmB,GAAG,OAAO,aAAa,EAAE,CAAC;AACtG,kBAAI,oCAAoC,0BAA0B,QAAQ,aAAa,GAAG,OAAO,aAAa,EAAE,CAAC;AACjH,kBAAI,4BAA4B,0BAA0B,QAAQ,mBAAmB,GAAG,OAAO,aAAa;AAC5G,kBAAI,kBAAkB;AACpB,oBAAI,8BAA8B,sBAAsB,QAAQ,iBAAiB,CAAC,CAAC;AACnF,oBAAI,CAAC,YAAY,2BAA2B,GAAG;AAC7C,8BAAY,2BAA2B,IAAI;AAAA,oBACzC,WAAW,YAAY;AAAA,kBACzB;AACA,sBAAI,+BAA+B,sBAAsB,2BAA2B;AACpF,oCAAkB,IAAI,YAAY,EAAE,EAAE,gBAAgB,EAAE,OAAO,8BAA8B,OAAO;AAAA,gBACtG,OAAO;AAAA,gBACP;AAAA,cACF;AAAA,YACF,CAAC;AAAA,UACH,OAAO;AACL,kBAAM,+BAA+B,OAAO;AAAA,UAC9C;AAAA,QACF,OAAO;AACL,cAAI,YAAY;AACd,oBAAQ,IAAI,+CAA+C,OAAO;AAAA,UACpE;AACA,4BAAkB,QAAQ,SAAS,aAAa;AAC9C,wBAAY,cAAc;AAAA,UAC5B,CAAC;AAAA,QACH;AACA,YAAI,OAAO,sBAAsB,UAAU;AACzC,cAAI,kBAAkB,OAAO,GAAG;AAC9B,+BAAmB,IAAI,OAAO,MAAM,KAAK,kBAAkB,OAAO,CAAC,GAAG,OAAO,cAAc,CAAC,KAAK,KAAK,KAAK,GAAG,CAAC;AAC/G,wBAAY,QAAQ,SAAS,SAAS,OAAO;AAC3C,kBAAI,CAAC,SAAS;AACZ,oBAAI,mBAAmB,iBAAiB,QAAQ,sBAAsB,KAAK,GAAG,GAAG,OAAO,aAAa,EAAE,CAAC;AACxG,oBAAI,CAAC,kBAAkB;AACrB,sBAAI,iBAAiB,YAAY,sBAAsB,KAAK,GAAG,SAAS,OAAO,0BAA0B,OAAO,UAAU;AAC1H,oCAAkB,IAAI,eAAe,IAAI,cAAc;AACvD,mCAAiB,OAAO,cAAc;AACtC,iCAAe,gBAAgB;AAAA,gBACjC,OAAO;AAAA,gBACP;AAAA,cACF;AAAA,YACF,CAAC;AAAA,UACH;AAAA,QACF;AACA,0BAAkB,QAAQ,SAAS,aAAa;AAC9C,cAAI,YAAY,WAAW;AACzB,wBAAY,UAAU,OAAO;AAC7B,wBAAY,+BAA+B;AAC3C,gBAAI,YAAY,OAAO,GAAG;AACxB,gCAAkB,OAAO,YAAY,EAAE;AACvC,+BAAiB,OAAO,WAAW;AACnC,kBAAI,wBAAwB;AAC1B,qCAAqB,IAAI,YAAY,IAAI,WAAW;AAAA,cACtD;AAAA,YACF;AAAA,UACF;AAAA,QACF,CAAC;AAAA,MACH;AAAA,IACF;AACA,YAAQ,QAAQ,WAAW;AACzB,0BAAoC,oBAAI,IAAI;AAC5C,6BAAuC,oBAAI,IAAI;AAC/C,wBAAkB,MAAM;AAAA,IAC1B;AACA,YAAQ,YAAY,SAAS,WAAW;AACtC,aAAO,KAAK,SAAS,EAAE,QAAQ,CAAC,QAAQ;AACtC,eAAO,GAAG,IAAI,UAAU,GAAG;AAAA,MAC7B,CAAC;AAAA,IACH;AACA,YAAQ,qBAAqB,WAAW;AACtC,+BAAyB;AAAA,IAC3B;AACA,YAAQ,sBAAsB,WAAW;AACvC,+BAAyB;AAAA,IAC3B;AACA,YAAQ,wBAAwB,SAAS,WAAW,MAAM;AACxD,aAAO,MAAM,KAAK,kBAAkB,OAAO,CAAC,EAAE,IAAI,SAAS,aAAa;AACtE,eAAO,YAAY,OAAO,QAAQ;AAAA,MACpC,CAAC;AAAA,IACH;AACA,YAAQ,6BAA6B,SAAS,WAAW,MAAM;AAC7D,aAAO,MAAM,KAAK,kBAAkB,OAAO,CAAC,EAAE,IAAI,SAAS,aAAa;AACtE,eAAO,YAAY,YAAY,QAAQ;AAAA,MACzC,CAAC;AAAA,IACH;AACA,YAAQ,6BAA6B,SAAS,SAAS;AACrD,aAAO,MAAM,KAAK,kBAAkB,OAAO,CAAC,EAAE,IAAI,SAAS,aAAa;AACtE,eAAO,YAAY,MAAM,OAAO;AAAA,MAClC,CAAC;AAAA,IACH;AACA,YAAQ,qBAAqB,WAAW;AACtC,aAAO;AAAA,IACT;AACA,YAAQ,2BAA2B,WAAW;AAC5C,aAAO,MAAM,KAAK,qBAAqB,OAAO,CAAC,EAAE,IAAI,SAAS,aAAa;AACzE,eAAO,YAAY,kBAAkB;AAAA,MACvC,CAAC;AAAA,IACH;AAAA,EACF;AACF,CAAC;AACD,IAAO,kBAAQ,gBAAgB;;;AD1pC/B,IAAM,cAAiC;AAAA;AAAA,EACrC,OAAO;AAAA,EACP,SAAS;AAAA;AAAA;AAAA;AAAA,EAIT,eAAe;AAAA,EACf,QAAQ,EAAE,SAAS,MAAM,cAAc,OAAO,MAAM,MAAM;AAAA,EAC1D,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU,EAAE,UAAU,OAAO,aAAa,IAAI,eAAe,IAAI;AAAA,IACjE,MAAM,EAAE,SAAS,KAAK;AAAA,IACtB,WAAW,EAAE,SAAS,MAAM;AAAA,IAC5B,MAAM,EAAE,SAAS,MAAM;AAAA,IACvB,aAAa,EAAE,SAAS,MAAM;AAAA,IAC9B,SAAS,EAAE,SAAS,MAAM;AAAA,IAC1B,WAAW,EAAE,SAAS,MAAM;AAAA,IAC5B,UAAU,EAAE,SAAS,MAAM;AAAA,EAC7B;AAAA,EACA,MAAM,EAAE,SAAS,OAAO,aAAa,GAAG,WAAW,yBAAyB;AAAA,EAC5E,MAAM,EAAE,SAAS,MAAM;AAAA,EACvB,QAAQ,EAAE,SAAS,OAAO,aAAa,GAAG;AAAA,EAC1C,cAAc,EAAE,SAAS,MAAM;AAAA,EAC/B,SAAS,EAAE,SAAS,MAAM;AAC5B;AAsBA,IAAM,gBAA+B;AAAA,EACnC,0BAA0B;AAAA,EAC1B,UAAU;AAAA,EACV,YAAY;AAAA,EACZ,eAAe;AAAA,EACf,mBAAmB;AACrB;AAEA,IAAM,QAAQ,IAAM,QAAM,WAAW;AAErC,IAAM,MAAM;AAAA;AAAA,EACV,OAAO,SAAS,eAAe,OAAO;AAAA,EACtC,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,KAAK,SAAS,eAAe,KAAK;AAAA,EAClC,KAAK,SAAS,eAAe,QAAQ;AAAA,EACrC,SAAS,SAAS,eAAe,SAAS;AAAA,EAC1C,eAAe,SAAS,eAAe,eAAe;AAAA,EACtD,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,KAAM,SAAS,eAAe,QAAQ,EAAwB,WAAW,IAAI;AAC/E;AACA,IAAM,YAAY,EAAE,QAAQ,GAAG,MAAM,GAAG,SAAS,GAAG,OAAO,EAAE;AAC7D,IAAM,MAAM,EAAE,WAAW,GAAG,SAAS,GAAG,QAAQ,GAAG,WAAW,EAAE;AAEhE,IAAM,MAAM,IAAI,QAAQ;AACtB,MAAI,IAAI,aAAa,IAAI,KAAK,GAAG,IAAI;AACrC,UAAQ,IAAI,GAAG,GAAG;AACpB;AACA,IAAM,SAAS,CAAC,QAAQ,IAAI,IAAI,YAAY;AAE5C,eAAe,gBAAgB;AAC7B,MAAI,CAAC,IAAI,MAAM,UAAU,IAAI,MAAM,cAAc,GAAG;AAClD,QAAI,UAAU,UAAU;AAAG,gBAAU,QAAQ,MAAM,IAAI;AAEvD,UAAM,MAAM,OAAO,IAAI,OAAO,WAAW;AACzC,UAAM,UAAU,MAAM,GAAG,OAAO,EAAE;AAClC,QAAI,UAAU,UAAU,YAAY;AAAG,UAAI,sBAAsB,UAAU,UAAU,OAAO;AAC5F,cAAU,UAAU;AACpB,QAAI,YAAY,KAAK,MAAM,MAAO,OAAQ,MAAM,IAAI,IAAI,UAAU,OAAO,IAAI;AAC7E,QAAI;AACJ,QAAI,YAAY,KAAK,MAAM,OAAQ,MAAM,IAAI,IAAI,UAAU,SAAS,IAAI,MAAM,IAAI;AAAA,EACpF;AACA,YAAU,SAAS,MAAM,IAAI;AAC7B,wBAAsB,aAAa;AACrC;AAEA,SAAS,WAAW;AAClB,MAAI,CAAC,IAAI,MAAM,UAAU,IAAI,MAAM,cAAc,GAAG;AAClD,UAAM,MAAgB,IAAI,cAAc,UAAU,MAAM,KAAK,MAAM,MAAM,IAAI,MAAM;AACnF,QAAI,WAA+D,CAAC;AACpE,QAAI,MAAM,OAAO,KAAK;AAAS,iBAAW,IAAI;AAAA,aACrC,MAAM,OAAO,KAAK;AAAS,iBAAW,IAAI;AAAA,aAC1C,MAAM,OAAO,OAAO;AAAS,iBAAW,IAAI;AAAA;AAChD,UAAI,qBAAqB;AAC9B,QAAI,OAAwB,CAAC;AAC7B,QAAI,IAAI,QAAQ,SAAS;AACvB,YAAM,QAAQ,SAAS,IAAI,CAAC,SAAS;AAAA,QACnC,GAAG,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI;AAAA,QAC7B,GAAG,IAAI,IAAI,CAAC,IAAI,IAAI,IAAI,CAAC,IAAI;AAAA,QAC7B,GAAG,IAAI,IAAI,CAAC;AAAA,QACZ,GAAG,IAAI,IAAI,CAAC;AAAA,QACZ,MAAM,IAAI,UAAU,MAAM,OAAO,KAAK,UAAU,SAAS;AAAA,QACzD,YAAY,IAAI;AAAA,MAClB,EAAE;AACF,sBAAQ,+BAA+B,OAAO,IAAI,MAAM;AACxD,aAAO,gBAAQ,sBAAsB,IAAI;AAAA,IAC3C;AACA,UAAM,KAAK,OAAO,IAAI,OAAO,IAAI,MAAM;AACvC,aAAS,IAAI,GAAG,IAAI,SAAS,QAAQ,KAAK;AAExC,YAAM,OAAO,SAAS,CAAC,EAAE,UAAU,MAAM,OAAO,KAAK,UAAU,SAAS;AACxE,UAAI,IAAI,WAAW,SAAS,CAAC,EAAE,IAAI,CAAC,GAAG,SAAS,CAAC,EAAE,IAAI,CAAC,GAAG,SAAS,CAAC,EAAE,IAAI,CAAC,GAAG,SAAS,CAAC,EAAE,IAAI,CAAC,CAAC;AACjG,UAAI,IAAI,SAAS,OAAO,SAAS,CAAC,EAAE,MAAM,KAAK,MAAM,MAAM,SAAS,CAAC,EAAE,KAAK,MAAM,QAAQ,SAAS,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,SAAS,CAAC,EAAE,IAAI,CAAC,IAAI,EAAE;AACzI,UAAI,KAAK,CAAC,GAAG;AACX,YAAI,IAAI,SAAS,MAAM,KAAK,CAAC,EAAE,MAAM,KAAK,MAAM,MAAM,KAAK,CAAC,EAAE,UAAU,MAAM,KAAK,CAAC,EAAE,QAAQ,KAAK,CAAC,EAAE,WAAW,WAAW,MAAM,SAAS,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,SAAS,CAAC,EAAE,IAAI,CAAC,IAAI,EAAE;AAAA,MACnL;AAAA,IACF;AAAA,EACF;AACA,QAAM,MAAM,MAAM,IAAI;AACtB,MAAI,UAAU,KAAK,MAAM,MAAO,OAAQ,MAAM,UAAU,KAAK,IAAI;AACjE,YAAU,OAAO;AACjB,SAAO,IAAI,MAAM,SAAS,WAAW,QAAQ,IAAI,UAAU,QAAQ,CAAC,EAAE,SAAS,GAAG,GAAG,cAAc,IAAI,QAAQ,QAAQ,CAAC,EAAE,SAAS,GAAG,GAAG,QAAQ;AACjJ,aAAW,UAAU,EAAE;AACzB;AAEA,eAAe,YAAY,MAAY;AACrC,QAAM,MAAM,IAAI,gBAAgB,IAAI;AACpC,MAAI,MAAM,MAAM;AAChB,QAAM,IAAI,MAAM,KAAK;AACrB,MAAI,iBAAiB,KAAK,MAAM,eAAe,CAAC,IAAI,MAAM,YAAY,IAAI,MAAM,WAAW,GAAG,aAAa,IAAI,MAAM,QAAQ;AAC7H,MAAI,OAAO,QAAQ,IAAI,MAAM;AAC7B,MAAI,OAAO,SAAS,IAAI,MAAM;AAC9B,MAAI,IAAI,cAAc;AACtB,MAAI,IAAI,YAAY;AACpB,MAAI,IAAI,OAAO;AACf,MAAI,MAAM,eAAe;AAC3B;AAEA,SAAS,YAAY;AACnB,WAAS,KAAK,iBAAiB,aAAa,CAAC,QAAQ,IAAI,eAAe,CAAC;AACzE,WAAS,KAAK,iBAAiB,aAAa,CAAC,QAAQ,IAAI,eAAe,CAAC;AACzE,WAAS,KAAK,iBAAiB,YAAY,CAAC,QAAQ,IAAI,eAAe,CAAC;AACxE,WAAS,KAAK,iBAAiB,QAAQ,OAAO,QAAQ;AA/JxD;AAgKI,QAAI,eAAe;AACnB,QAAI,IAAI;AAAc,UAAI,aAAa,aAAa;AACpD,UAAM,QAAO,eAAI,iBAAJ,mBAAkB,UAAlB,mBAA0B;AACvC,QAAI;AAAM,YAAM,YAAY,IAAI;AAChC,QAAI,IAAI,MAAM,UAAU;AAAA,EAC1B,CAAC;AACD,EAAC,SAAS,eAAe,YAAY,EAAuB,WAAW,OAAO,QAAQ;AAtKxF;AAuKI,QAAI,eAAe;AACnB,UAAM,QAAO,eAAI,WAAJ,mBAAa,aAAb,mBAAwB;AACrC,QAAI;AAAM,YAAM,YAAY,IAAI;AAAA,EAClC;AACA,MAAI,OAAO,WAAW,MAAM;AAC1B,kBAAc,gBAAiB,SAAS,eAAe,eAAe,EAAuB;AAC7F,kBAAc,WAAY,SAAS,eAAe,UAAU,EAAuB;AACnF,kBAAc,2BAA4B,SAAS,eAAe,0BAA0B,EAAuB;AACnH,kBAAc,2BAA4B,SAAS,eAAe,0BAA0B,EAAuB;AACnH,kBAAc,oBAAqB,SAAS,eAAe,0BAA0B,EAAuB,UAAU,WAAW;AACjI,oBAAQ,UAAU,aAAa;AAC/B,QAAK,SAAS,eAAe,cAAc,EAAuB;AAAS,sBAAQ,mBAAmB;AAAA;AACjG,sBAAQ,oBAAoB;AACjC,oBAAQ,MAAM;AACd,QAAI,yBAAyB,KAAK,UAAU,aAAa,CAAC;AAC1D,gBAAY,KAAM,UAAW,SAAS,eAAe,UAAU,EAAuB;AACtF,gBAAY,KAAM,UAAW,SAAS,eAAe,UAAU,EAAuB;AACtF,gBAAY,OAAQ,UAAW,SAAS,eAAe,YAAY,EAAuB;AAAA,EAC5F;AACA,MAAI,QAAQ,WAAW,CAAC,QAAQ;AAC9B,QAAI,WAAY,IAAI,OAA4B,UAAU,YAAY,UAAU;AAChF,oBAAQ,UAAU,aAAa;AAC/B,oBAAQ,MAAM;AAAA,EAChB;AACF;AAEA,eAAe,OAAO;AACpB,MAAI,kBAAkB,MAAM,SAAS,mBAAmB,MAAM,GAAG,QAAQ,WAAW,CAAC;AACrF,MAAI,aAAa,MAAM,IAAI,UAAU,YAAY,MAAM,IAAI,KAAK;AAChE,SAAO,YAAY;AACnB,QAAM,MAAM,KAAK;AACjB,MAAI,YAAY,MAAM,GAAG,WAAW,GAAG,gBAAgB,MAAM,IAAI,QAAQ;AACzE,MAAI,kBAAkB,MAAM,OAAO,OAAO,CAAC;AAC3C,SAAO,iBAAiB;AACxB,QAAM,MAAM,OAAO;AACnB,YAAU;AACV,QAAM,cAAc;AACpB,WAAS;AACX;AAEA,OAAO,SAAS;", + "names": [] } diff --git a/demo/typescript/index.js b/demo/typescript/index.js index dd24c449..6b68e969 100644 --- a/demo/typescript/index.js +++ b/demo/typescript/index.js @@ -4,6 +4,108 @@ author: ' */ -import*as m from"../../dist/human.esm.js";var v=1920,b={debug:!0,backend:"webgl",modelBasePath:"../../models",filter:{enabled:!0,equalization:!1,flip:!1},face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0},antispoof:{enabled:!0},liveness:{enabled:!0}},body:{enabled:!1},hand:{enabled:!1},object:{enabled:!1},segmentation:{enabled:!1},gesture:{enabled:!0}},e=new m.Human(b);e.env.perfadd=!1;e.draw.options.font='small-caps 18px "Lato"';e.draw.options.lineHeight=20;e.draw.options.drawPoints=!0;var a={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},n={detect:0,draw:0,tensors:0,start:0},s={detectFPS:0,drawFPS:0,frames:0,averageMs:0},o=(...t)=>{a.log.innerText+=t.join(" ")+` -`,console.log(...t)},r=t=>a.fps.innerText=t,g=t=>a.perf.innerText="tensors:"+e.tf.memory().numTensors.toString()+" | performance: "+JSON.stringify(t).replace(/"|{|}/g,"").replace(/,/g," | ");async function f(){if(!a.video.paused){n.start===0&&(n.start=e.now()),await e.detect(a.video);let t=e.tf.memory().numTensors;t-n.tensors!==0&&o("allocated tensors:",t-n.tensors),n.tensors=t,s.detectFPS=Math.round(1e3*1e3/(e.now()-n.detect))/1e3,s.frames++,s.averageMs=Math.round(1e3*(e.now()-n.start)/s.frames)/1e3,s.frames%100===0&&!a.video.paused&&o("performance",{...s,tensors:n.tensors})}n.detect=e.now(),requestAnimationFrame(f)}async function w(){var d,i,c;if(!a.video.paused){let l=e.next(e.result),p=await e.image(a.video);e.draw.canvas(p.canvas,a.canvas);let u={bodyLabels:`person confidence [score] and ${(c=(i=(d=e.result)==null?void 0:d.body)==null?void 0:i[0])==null?void 0:c.keypoints.length} keypoints`};await e.draw.all(a.canvas,l,u),g(l.performance)}let t=e.now();s.drawFPS=Math.round(1e3*1e3/(t-n.draw))/1e3,n.draw=t,r(a.video.paused?"paused":`fps: ${s.detectFPS.toFixed(1).padStart(5," ")} detect | ${s.drawFPS.toFixed(1).padStart(5," ")} draw`),setTimeout(w,30)}async function y(){let d=(await e.webcam.enumerate())[0].deviceId;await e.webcam.start({element:a.video,crop:!1,width:v,id:d}),a.canvas.width=e.webcam.width,a.canvas.height=e.webcam.height,a.canvas.onclick=async()=>{e.webcam.paused?await e.webcam.play():e.webcam.pause()}}async function h(){o("human version:",e.version,"| tfjs version:",e.tf.version["tfjs-core"]),o("platform:",e.env.platform,"| agent:",e.env.agent),r("loading..."),await e.load(),o("backend:",e.tf.getBackend(),"| available:",e.env.backends),o("models stats:",e.models.stats()),o("models loaded:",e.models.loaded()),o("environment",e.env),r("initializing..."),await e.warmup(),await y(),await f(),await w()}window.onload=h; + +// demo/typescript/index.ts +import * as H from "../../dist/human.esm.js"; +var width = 1920; +var humanConfig = { + // user configuration for human, used to fine-tune behavior + debug: true, + backend: "webgl", + // cacheSensitivity: 0, + // cacheModels: false, + // warmup: 'none', + modelBasePath: "../../models", + filter: { enabled: true, equalization: false, flip: false }, + face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true }, antispoof: { enabled: true }, liveness: { enabled: true } }, + body: { enabled: false }, + hand: { enabled: false }, + object: { enabled: false }, + segmentation: { enabled: false }, + gesture: { enabled: true } +}; +var human = new H.Human(humanConfig); +human.env.perfadd = false; +human.draw.options.font = 'small-caps 18px "Lato"'; +human.draw.options.lineHeight = 20; +human.draw.options.drawPoints = true; +var dom = { + // grab instances of dom objects so we dont have to look them up later + video: document.getElementById("video"), + canvas: document.getElementById("canvas"), + log: document.getElementById("log"), + fps: document.getElementById("status"), + perf: document.getElementById("performance") +}; +var timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 }; +var fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 }; +var log = (...msg) => { + dom.log.innerText += msg.join(" ") + "\n"; + console.log(...msg); +}; +var status = (msg) => dom.fps.innerText = msg; +var perf = (msg) => dom.perf.innerText = "tensors:" + human.tf.memory().numTensors.toString() + " | performance: " + JSON.stringify(msg).replace(/"|{|}/g, "").replace(/,/g, " | "); +async function detectionLoop() { + if (!dom.video.paused) { + if (timestamp.start === 0) + timestamp.start = human.now(); + await human.detect(dom.video); + const tensors = human.tf.memory().numTensors; + if (tensors - timestamp.tensors !== 0) + log("allocated tensors:", tensors - timestamp.tensors); + timestamp.tensors = tensors; + fps.detectFPS = Math.round(1e3 * 1e3 / (human.now() - timestamp.detect)) / 1e3; + fps.frames++; + fps.averageMs = Math.round(1e3 * (human.now() - timestamp.start) / fps.frames) / 1e3; + if (fps.frames % 100 === 0 && !dom.video.paused) + log("performance", { ...fps, tensors: timestamp.tensors }); + } + timestamp.detect = human.now(); + requestAnimationFrame(detectionLoop); +} +async function drawLoop() { + var _a, _b, _c; + if (!dom.video.paused) { + const interpolated = human.next(human.result); + const processed = await human.image(dom.video); + human.draw.canvas(processed.canvas, dom.canvas); + const opt = { bodyLabels: `person confidence [score] and ${(_c = (_b = (_a = human.result) == null ? void 0 : _a.body) == null ? void 0 : _b[0]) == null ? void 0 : _c.keypoints.length} keypoints` }; + await human.draw.all(dom.canvas, interpolated, opt); + perf(interpolated.performance); + } + const now = human.now(); + fps.drawFPS = Math.round(1e3 * 1e3 / (now - timestamp.draw)) / 1e3; + timestamp.draw = now; + status(dom.video.paused ? "paused" : `fps: ${fps.detectFPS.toFixed(1).padStart(5, " ")} detect | ${fps.drawFPS.toFixed(1).padStart(5, " ")} draw`); + setTimeout(drawLoop, 30); +} +async function webCam() { + const devices = await human.webcam.enumerate(); + const id = devices[0].deviceId; + await human.webcam.start({ element: dom.video, crop: false, width, id }); + dom.canvas.width = human.webcam.width; + dom.canvas.height = human.webcam.height; + dom.canvas.onclick = async () => { + if (human.webcam.paused) + await human.webcam.play(); + else + human.webcam.pause(); + }; +} +async function main() { + log("human version:", human.version, "| tfjs version:", human.tf.version["tfjs-core"]); + log("platform:", human.env.platform, "| agent:", human.env.agent); + status("loading..."); + await human.load(); + log("backend:", human.tf.getBackend(), "| available:", human.env.backends); + log("models stats:", human.models.stats()); + log("models loaded:", human.models.loaded()); + log("environment", human.env); + status("initializing..."); + await human.warmup(); + await webCam(); + await detectionLoop(); + await drawLoop(); +} +window.onload = main; //# sourceMappingURL=index.js.map diff --git a/demo/typescript/index.js.map b/demo/typescript/index.js.map index 0df28d25..0da8fca3 100644 --- a/demo/typescript/index.js.map +++ b/demo/typescript/index.js.map @@ -2,6 +2,6 @@ "version": 3, "sources": ["index.ts"], "sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\nimport * as H from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human\n\nconst width = 1920; // used by webcam config as well as human maximum resultion // can be anything, but resolutions higher than 4k will disable internal optimizations\n\nconst humanConfig: Partial = { // user configuration for human, used to fine-tune behavior\n debug: true,\n backend: 'webgl',\n // cacheSensitivity: 0,\n // cacheModels: false,\n // warmup: 'none',\n modelBasePath: '../../models',\n filter: { enabled: true, equalization: false, flip: false },\n face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true }, antispoof: { enabled: true }, liveness: { enabled: true } },\n body: { enabled: false },\n hand: { enabled: false },\n object: { enabled: false },\n segmentation: { enabled: false },\n gesture: { enabled: true },\n};\n\nconst human = new H.Human(humanConfig); // create instance of human with overrides from user configuration\n\nhuman.env.perfadd = false; // is performance data showing instant or total values\nhuman.draw.options.font = 'small-caps 18px \"Lato\"'; // set font used to draw labels when using draw methods\nhuman.draw.options.lineHeight = 20;\nhuman.draw.options.drawPoints = true; // draw points on face mesh\n// human.draw.options.fillPolygons = true;\n\nconst dom = { // grab instances of dom objects so we dont have to look them up later\n video: document.getElementById('video') as HTMLVideoElement,\n canvas: document.getElementById('canvas') as HTMLCanvasElement,\n log: document.getElementById('log') as HTMLPreElement,\n fps: document.getElementById('status') as HTMLPreElement,\n perf: document.getElementById('performance') as HTMLDivElement,\n};\nconst timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 }; // holds information used to calculate performance and possible memory leaks\nconst fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 }; // holds calculated fps information for both detect and screen refresh\n\nconst log = (...msg) => { // helper method to output messages\n dom.log.innerText += msg.join(' ') + '\\n';\n console.log(...msg); // eslint-disable-line no-console\n};\nconst status = (msg) => dom.fps.innerText = msg; // print status element\nconst perf = (msg) => dom.perf.innerText = 'tensors:' + human.tf.memory().numTensors.toString() + ' | performance: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | '); // print performance element\n\nasync function detectionLoop() { // main detection loop\n if (!dom.video.paused) {\n if (timestamp.start === 0) timestamp.start = human.now();\n // log('profiling data:', await human.profile(dom.video));\n await human.detect(dom.video); // actual detection; were not capturing output in a local variable as it can also be reached via human.result\n const tensors = human.tf.memory().numTensors; // check current tensor usage for memory leaks\n if (tensors - timestamp.tensors !== 0) log('allocated tensors:', tensors - timestamp.tensors); // printed on start and each time there is a tensor leak\n timestamp.tensors = tensors;\n fps.detectFPS = Math.round(1000 * 1000 / (human.now() - timestamp.detect)) / 1000;\n fps.frames++;\n fps.averageMs = Math.round(1000 * (human.now() - timestamp.start) / fps.frames) / 1000;\n if (fps.frames % 100 === 0 && !dom.video.paused) log('performance', { ...fps, tensors: timestamp.tensors });\n }\n timestamp.detect = human.now();\n requestAnimationFrame(detectionLoop); // start new frame immediately\n}\n\nasync function drawLoop() { // main screen refresh loop\n if (!dom.video.paused) {\n const interpolated = human.next(human.result); // smoothen result using last-known results\n const processed = await human.image(dom.video); // get current video frame, but enhanced with human.filters\n human.draw.canvas(processed.canvas as HTMLCanvasElement, dom.canvas);\n\n const opt: Partial = { bodyLabels: `person confidence [score] and ${human.result?.body?.[0]?.keypoints.length} keypoints` };\n await human.draw.all(dom.canvas, interpolated, opt); // draw labels, boxes, lines, etc.\n perf(interpolated.performance); // write performance data\n }\n const now = human.now();\n fps.drawFPS = Math.round(1000 * 1000 / (now - timestamp.draw)) / 1000;\n timestamp.draw = now;\n status(dom.video.paused ? 'paused' : `fps: ${fps.detectFPS.toFixed(1).padStart(5, ' ')} detect | ${fps.drawFPS.toFixed(1).padStart(5, ' ')} draw`); // write status\n setTimeout(drawLoop, 30); // use to slow down refresh from max refresh rate to target of 30 fps\n}\n\nasync function webCam() {\n const devices = await human.webcam.enumerate();\n const id = devices[0].deviceId; // use first available video source\n await human.webcam.start({ element: dom.video, crop: false, width, id }); // use human webcam helper methods and associate webcam stream with a dom element\n dom.canvas.width = human.webcam.width;\n dom.canvas.height = human.webcam.height;\n dom.canvas.onclick = async () => { // pause when clicked on screen and resume on next click\n if (human.webcam.paused) await human.webcam.play();\n else human.webcam.pause();\n };\n}\n\nasync function main() { // main entry point\n log('human version:', human.version, '| tfjs version:', human.tf.version['tfjs-core']);\n log('platform:', human.env.platform, '| agent:', human.env.agent);\n status('loading...');\n await human.load(); // preload all models\n log('backend:', human.tf.getBackend(), '| available:', human.env.backends);\n log('models stats:', human.models.stats());\n log('models loaded:', human.models.loaded());\n log('environment', human.env);\n status('initializing...');\n await human.warmup(); // warmup function to initialize backend for future faster detection\n await webCam(); // start webcam\n await detectionLoop(); // start detection loop\n await drawLoop(); // start draw loop\n}\n\nwindow.onload = main;\n"], - "mappings": ";;;;;;AASA,UAAYA,MAAO,0BAEnB,IAAMC,EAAQ,KAERC,EAAiC,CACrC,MAAO,GACP,QAAS,QAIT,cAAe,eACf,OAAQ,CAAE,QAAS,GAAM,aAAc,GAAO,KAAM,EAAM,EAC1D,KAAM,CAAE,QAAS,GAAM,SAAU,CAAE,SAAU,EAAM,EAAG,KAAM,CAAE,QAAS,EAAK,EAAG,UAAW,CAAE,QAAS,EAAM,EAAG,KAAM,CAAE,QAAS,EAAK,EAAG,YAAa,CAAE,QAAS,EAAK,EAAG,QAAS,CAAE,QAAS,EAAK,EAAG,UAAW,CAAE,QAAS,EAAK,EAAG,SAAU,CAAE,QAAS,EAAK,CAAE,EAC7P,KAAM,CAAE,QAAS,EAAM,EACvB,KAAM,CAAE,QAAS,EAAM,EACvB,OAAQ,CAAE,QAAS,EAAM,EACzB,aAAc,CAAE,QAAS,EAAM,EAC/B,QAAS,CAAE,QAAS,EAAK,CAC3B,EAEMC,EAAQ,IAAM,QAAMD,CAAW,EAErCC,EAAM,IAAI,QAAU,GACpBA,EAAM,KAAK,QAAQ,KAAO,yBAC1BA,EAAM,KAAK,QAAQ,WAAa,GAChCA,EAAM,KAAK,QAAQ,WAAa,GAGhC,IAAMC,EAAM,CACV,MAAO,SAAS,eAAe,OAAO,EACtC,OAAQ,SAAS,eAAe,QAAQ,EACxC,IAAK,SAAS,eAAe,KAAK,EAClC,IAAK,SAAS,eAAe,QAAQ,EACrC,KAAM,SAAS,eAAe,aAAa,CAC7C,EACMC,EAAY,CAAE,OAAQ,EAAG,KAAM,EAAG,QAAS,EAAG,MAAO,CAAE,EACvDC,EAAM,CAAE,UAAW,EAAG,QAAS,EAAG,OAAQ,EAAG,UAAW,CAAE,EAE1DC,EAAM,IAAIC,IAAQ,CACtBJ,EAAI,IAAI,WAAaI,EAAI,KAAK,GAAG,EAAI;AAAA,EACrC,QAAQ,IAAI,GAAGA,CAAG,CACpB,EACMC,EAAUD,GAAQJ,EAAI,IAAI,UAAYI,EACtCE,EAAQF,GAAQJ,EAAI,KAAK,UAAY,WAAaD,EAAM,GAAG,OAAO,EAAE,WAAW,SAAS,EAAI,mBAAqB,KAAK,UAAUK,CAAG,EAAE,QAAQ,SAAU,EAAE,EAAE,QAAQ,KAAM,KAAK,EAEpL,eAAeG,GAAgB,CAC7B,GAAI,CAACP,EAAI,MAAM,OAAQ,CACjBC,EAAU,QAAU,IAAGA,EAAU,MAAQF,EAAM,IAAI,GAEvD,MAAMA,EAAM,OAAOC,EAAI,KAAK,EAC5B,IAAMQ,EAAUT,EAAM,GAAG,OAAO,EAAE,WAC9BS,EAAUP,EAAU,UAAY,GAAGE,EAAI,qBAAsBK,EAAUP,EAAU,OAAO,EAC5FA,EAAU,QAAUO,EACpBN,EAAI,UAAY,KAAK,MAAM,IAAO,KAAQH,EAAM,IAAI,EAAIE,EAAU,OAAO,EAAI,IAC7EC,EAAI,SACJA,EAAI,UAAY,KAAK,MAAM,KAAQH,EAAM,IAAI,EAAIE,EAAU,OAASC,EAAI,MAAM,EAAI,IAC9EA,EAAI,OAAS,MAAQ,GAAK,CAACF,EAAI,MAAM,QAAQG,EAAI,cAAe,CAAE,GAAGD,EAAK,QAASD,EAAU,OAAQ,CAAC,EAE5GA,EAAU,OAASF,EAAM,IAAI,EAC7B,sBAAsBQ,CAAa,CACrC,CAEA,eAAeE,GAAW,CAvE1B,IAAAC,EAAAC,EAAAC,EAwEE,GAAI,CAACZ,EAAI,MAAM,OAAQ,CACrB,IAAMa,EAAed,EAAM,KAAKA,EAAM,MAAM,EACtCe,EAAY,MAAMf,EAAM,MAAMC,EAAI,KAAK,EAC7CD,EAAM,KAAK,OAAOe,EAAU,OAA6Bd,EAAI,MAAM,EAEnE,IAAMe,EAA8B,CAAE,WAAY,kCAAiCH,GAAAD,GAAAD,EAAAX,EAAM,SAAN,YAAAW,EAAc,OAAd,YAAAC,EAAqB,KAArB,YAAAC,EAAyB,UAAU,kBAAmB,EACzI,MAAMb,EAAM,KAAK,IAAIC,EAAI,OAAQa,EAAcE,CAAG,EAClDT,EAAKO,EAAa,WAAW,EAE/B,IAAMG,EAAMjB,EAAM,IAAI,EACtBG,EAAI,QAAU,KAAK,MAAM,IAAO,KAAQc,EAAMf,EAAU,KAAK,EAAI,IACjEA,EAAU,KAAOe,EACjBX,EAAOL,EAAI,MAAM,OAAS,SAAW,QAAQE,EAAI,UAAU,QAAQ,CAAC,EAAE,SAAS,EAAG,GAAG,cAAcA,EAAI,QAAQ,QAAQ,CAAC,EAAE,SAAS,EAAG,GAAG,QAAQ,EACjJ,WAAWO,EAAU,EAAE,CACzB,CAEA,eAAeQ,GAAS,CAEtB,IAAMC,GADU,MAAMnB,EAAM,OAAO,UAAU,GAC1B,CAAC,EAAE,SACtB,MAAMA,EAAM,OAAO,MAAM,CAAE,QAASC,EAAI,MAAO,KAAM,GAAO,MAAAH,EAAO,GAAAqB,CAAG,CAAC,EACvElB,EAAI,OAAO,MAAQD,EAAM,OAAO,MAChCC,EAAI,OAAO,OAASD,EAAM,OAAO,OACjCC,EAAI,OAAO,QAAU,SAAY,CAC3BD,EAAM,OAAO,OAAQ,MAAMA,EAAM,OAAO,KAAK,EAC5CA,EAAM,OAAO,MAAM,CAC1B,CACF,CAEA,eAAeoB,GAAO,CACpBhB,EAAI,iBAAkBJ,EAAM,QAAS,kBAAmBA,EAAM,GAAG,QAAQ,WAAW,CAAC,EACrFI,EAAI,YAAaJ,EAAM,IAAI,SAAU,WAAYA,EAAM,IAAI,KAAK,EAChEM,EAAO,YAAY,EACnB,MAAMN,EAAM,KAAK,EACjBI,EAAI,WAAYJ,EAAM,GAAG,WAAW,EAAG,eAAgBA,EAAM,IAAI,QAAQ,EACzEI,EAAI,gBAAiBJ,EAAM,OAAO,MAAM,CAAC,EACzCI,EAAI,iBAAkBJ,EAAM,OAAO,OAAO,CAAC,EAC3CI,EAAI,cAAeJ,EAAM,GAAG,EAC5BM,EAAO,iBAAiB,EACxB,MAAMN,EAAM,OAAO,EACnB,MAAMkB,EAAO,EACb,MAAMV,EAAc,EACpB,MAAME,EAAS,CACjB,CAEA,OAAO,OAASU", - "names": ["H", "width", "humanConfig", "human", "dom", "timestamp", "fps", "log", "msg", "status", "perf", "detectionLoop", "tensors", "drawLoop", "_a", "_b", "_c", "interpolated", "processed", "opt", "now", "webCam", "id", "main"] + "mappings": ";;;;;;;;AASA,YAAY,OAAO;AAEnB,IAAM,QAAQ;AAEd,IAAM,cAAiC;AAAA;AAAA,EACrC,OAAO;AAAA,EACP,SAAS;AAAA;AAAA;AAAA;AAAA,EAIT,eAAe;AAAA,EACf,QAAQ,EAAE,SAAS,MAAM,cAAc,OAAO,MAAM,MAAM;AAAA,EAC1D,MAAM,EAAE,SAAS,MAAM,UAAU,EAAE,UAAU,MAAM,GAAG,MAAM,EAAE,SAAS,KAAK,GAAG,WAAW,EAAE,SAAS,MAAM,GAAG,MAAM,EAAE,SAAS,KAAK,GAAG,aAAa,EAAE,SAAS,KAAK,GAAG,SAAS,EAAE,SAAS,KAAK,GAAG,WAAW,EAAE,SAAS,KAAK,GAAG,UAAU,EAAE,SAAS,KAAK,EAAE;AAAA,EAC7P,MAAM,EAAE,SAAS,MAAM;AAAA,EACvB,MAAM,EAAE,SAAS,MAAM;AAAA,EACvB,QAAQ,EAAE,SAAS,MAAM;AAAA,EACzB,cAAc,EAAE,SAAS,MAAM;AAAA,EAC/B,SAAS,EAAE,SAAS,KAAK;AAC3B;AAEA,IAAM,QAAQ,IAAM,QAAM,WAAW;AAErC,MAAM,IAAI,UAAU;AACpB,MAAM,KAAK,QAAQ,OAAO;AAC1B,MAAM,KAAK,QAAQ,aAAa;AAChC,MAAM,KAAK,QAAQ,aAAa;AAGhC,IAAM,MAAM;AAAA;AAAA,EACV,OAAO,SAAS,eAAe,OAAO;AAAA,EACtC,QAAQ,SAAS,eAAe,QAAQ;AAAA,EACxC,KAAK,SAAS,eAAe,KAAK;AAAA,EAClC,KAAK,SAAS,eAAe,QAAQ;AAAA,EACrC,MAAM,SAAS,eAAe,aAAa;AAC7C;AACA,IAAM,YAAY,EAAE,QAAQ,GAAG,MAAM,GAAG,SAAS,GAAG,OAAO,EAAE;AAC7D,IAAM,MAAM,EAAE,WAAW,GAAG,SAAS,GAAG,QAAQ,GAAG,WAAW,EAAE;AAEhE,IAAM,MAAM,IAAI,QAAQ;AACtB,MAAI,IAAI,aAAa,IAAI,KAAK,GAAG,IAAI;AACrC,UAAQ,IAAI,GAAG,GAAG;AACpB;AACA,IAAM,SAAS,CAAC,QAAQ,IAAI,IAAI,YAAY;AAC5C,IAAM,OAAO,CAAC,QAAQ,IAAI,KAAK,YAAY,aAAa,MAAM,GAAG,OAAO,EAAE,WAAW,SAAS,IAAI,qBAAqB,KAAK,UAAU,GAAG,EAAE,QAAQ,UAAU,EAAE,EAAE,QAAQ,MAAM,KAAK;AAEpL,eAAe,gBAAgB;AAC7B,MAAI,CAAC,IAAI,MAAM,QAAQ;AACrB,QAAI,UAAU,UAAU;AAAG,gBAAU,QAAQ,MAAM,IAAI;AAEvD,UAAM,MAAM,OAAO,IAAI,KAAK;AAC5B,UAAM,UAAU,MAAM,GAAG,OAAO,EAAE;AAClC,QAAI,UAAU,UAAU,YAAY;AAAG,UAAI,sBAAsB,UAAU,UAAU,OAAO;AAC5F,cAAU,UAAU;AACpB,QAAI,YAAY,KAAK,MAAM,MAAO,OAAQ,MAAM,IAAI,IAAI,UAAU,OAAO,IAAI;AAC7E,QAAI;AACJ,QAAI,YAAY,KAAK,MAAM,OAAQ,MAAM,IAAI,IAAI,UAAU,SAAS,IAAI,MAAM,IAAI;AAClF,QAAI,IAAI,SAAS,QAAQ,KAAK,CAAC,IAAI,MAAM;AAAQ,UAAI,eAAe,EAAE,GAAG,KAAK,SAAS,UAAU,QAAQ,CAAC;AAAA,EAC5G;AACA,YAAU,SAAS,MAAM,IAAI;AAC7B,wBAAsB,aAAa;AACrC;AAEA,eAAe,WAAW;AAvE1B;AAwEE,MAAI,CAAC,IAAI,MAAM,QAAQ;AACrB,UAAM,eAAe,MAAM,KAAK,MAAM,MAAM;AAC5C,UAAM,YAAY,MAAM,MAAM,MAAM,IAAI,KAAK;AAC7C,UAAM,KAAK,OAAO,UAAU,QAA6B,IAAI,MAAM;AAEnE,UAAM,MAA8B,EAAE,YAAY,kCAAiC,uBAAM,WAAN,mBAAc,SAAd,mBAAqB,OAArB,mBAAyB,UAAU,mBAAmB;AACzI,UAAM,MAAM,KAAK,IAAI,IAAI,QAAQ,cAAc,GAAG;AAClD,SAAK,aAAa,WAAW;AAAA,EAC/B;AACA,QAAM,MAAM,MAAM,IAAI;AACtB,MAAI,UAAU,KAAK,MAAM,MAAO,OAAQ,MAAM,UAAU,KAAK,IAAI;AACjE,YAAU,OAAO;AACjB,SAAO,IAAI,MAAM,SAAS,WAAW,QAAQ,IAAI,UAAU,QAAQ,CAAC,EAAE,SAAS,GAAG,GAAG,cAAc,IAAI,QAAQ,QAAQ,CAAC,EAAE,SAAS,GAAG,GAAG,QAAQ;AACjJ,aAAW,UAAU,EAAE;AACzB;AAEA,eAAe,SAAS;AACtB,QAAM,UAAU,MAAM,MAAM,OAAO,UAAU;AAC7C,QAAM,KAAK,QAAQ,CAAC,EAAE;AACtB,QAAM,MAAM,OAAO,MAAM,EAAE,SAAS,IAAI,OAAO,MAAM,OAAO,OAAO,GAAG,CAAC;AACvE,MAAI,OAAO,QAAQ,MAAM,OAAO;AAChC,MAAI,OAAO,SAAS,MAAM,OAAO;AACjC,MAAI,OAAO,UAAU,YAAY;AAC/B,QAAI,MAAM,OAAO;AAAQ,YAAM,MAAM,OAAO,KAAK;AAAA;AAC5C,YAAM,OAAO,MAAM;AAAA,EAC1B;AACF;AAEA,eAAe,OAAO;AACpB,MAAI,kBAAkB,MAAM,SAAS,mBAAmB,MAAM,GAAG,QAAQ,WAAW,CAAC;AACrF,MAAI,aAAa,MAAM,IAAI,UAAU,YAAY,MAAM,IAAI,KAAK;AAChE,SAAO,YAAY;AACnB,QAAM,MAAM,KAAK;AACjB,MAAI,YAAY,MAAM,GAAG,WAAW,GAAG,gBAAgB,MAAM,IAAI,QAAQ;AACzE,MAAI,iBAAiB,MAAM,OAAO,MAAM,CAAC;AACzC,MAAI,kBAAkB,MAAM,OAAO,OAAO,CAAC;AAC3C,MAAI,eAAe,MAAM,GAAG;AAC5B,SAAO,iBAAiB;AACxB,QAAM,MAAM,OAAO;AACnB,QAAM,OAAO;AACb,QAAM,cAAc;AACpB,QAAM,SAAS;AACjB;AAEA,OAAO,SAAS;", + "names": [] } diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js index 5361fe1d..9e26f1dc 100644 --- a/dist/human.esm-nobundle.js +++ b/dist/human.esm-nobundle.js @@ -4,7 +4,274 @@ author: ' */ -var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Object.getOwnPropertyNames;var Qn=Object.prototype.hasOwnProperty;var _n=(e,t,n)=>t in e?at(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var oe=(e,t)=>{for(var n in t)at(e,n,{get:t[n],enumerable:!0})},V5=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let s of Jn(t))!Qn.call(e,s)&&s!==n&&at(e,s,{get:()=>t[s],enumerable:!(o=Kn(t,s))||o.enumerable});return e},E=(e,t,n)=>(V5(e,t,"default"),n&&V5(n,t,"default"));var z=(e,t,n)=>(_n(e,typeof t!="symbol"?t+"":t,n),n),Z5=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var E0=(e,t,n)=>(Z5(e,t,"read from private field"),n?n.call(e):t.get(e)),q0=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Q0=(e,t,n,o)=>(Z5(e,t,"write to private field"),o?o.call(e,n):t.set(e,n),n);var r={};oe(r,{version:()=>Je});E(r,TA);E(r,vA);E(r,RA);E(r,MA);E(r,PA);E(r,kA);import*as TA from"@tensorflow/tfjs-core/dist/index.js";import*as vA from"@tensorflow/tfjs-converter/dist/index.js";import*as RA from"@tensorflow/tfjs-backend-cpu/dist/index.js";import*as MA from"@tensorflow/tfjs-backend-webgl/dist/index.js";import*as PA from"@tensorflow/tfjs-backend-wasm/dist/index.js";import*as kA from"@tensorflow/tfjs-backend-webgpu/dist/index.js";var X5="4.2.0",$n="4.2.0",eo="4.2.0",to="4.2.0",no="4.2.0",oo="0.0.1-alpha.17",Je={tfjs:X5,"tfjs-core":X5,"tfjs-converter":$n,"tfjs-backend-cpu":eo,"tfjs-backend-webgl":to,"tfjs-backend-wasm":no,"tfjs-backend-webgpu":oo};function b(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function q5(e,t){let n=e.endsWith("/")?"":"/",s=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!s.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${s}`);return s}var R=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function it(e,t,n="config",o=[]){for(let s of Object.keys(t))if(typeof t[s]=="object")it(e[s],t[s],s,o);else{let A=e&&typeof e[s]!="undefined";A||o.push({reason:"unknown property",where:`${n}.${s} = ${t[s]}`});let a=e&&typeof e[s]==typeof t[s];A&&!a&&o.push({reason:"property type mismatch",where:`${n}.${s} = ${t[s]}`,expected:typeof e[s]})}return t.debug&&n==="config"&&o.length>0&&b("invalid configuration",o),o}function Q(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(s=>{let A=n[s],a=o[s];Array.isArray(A)&&Array.isArray(a)?n[s]=A.concat(...a):t(A)&&t(a)?n[s]=Q(A,a):n[s]=a}),n),{})}var Ce={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var U5=` +var __defProp = Object.defineProperty; +var __getOwnPropDesc = Object.getOwnPropertyDescriptor; +var __getOwnPropNames = Object.getOwnPropertyNames; +var __hasOwnProp = Object.prototype.hasOwnProperty; +var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; +var __export = (target, all2) => { + for (var name in all2) + __defProp(target, name, { get: all2[name], enumerable: true }); +}; +var __copyProps = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames(from)) + if (!__hasOwnProp.call(to, key) && key !== except) + __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); + } + return to; +}; +var __reExport = (target, mod3, secondTarget) => (__copyProps(target, mod3, "default"), secondTarget && __copyProps(secondTarget, mod3, "default")); +var __publicField = (obj, key, value) => { + __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value); + return value; +}; +var __accessCheck = (obj, member, msg) => { + if (!member.has(obj)) + throw TypeError("Cannot " + msg); +}; +var __privateGet = (obj, member, getter) => { + __accessCheck(obj, member, "read from private field"); + return getter ? getter.call(obj) : member.get(obj); +}; +var __privateAdd = (obj, member, value) => { + if (member.has(obj)) + throw TypeError("Cannot add the same private member more than once"); + member instanceof WeakSet ? member.add(obj) : member.set(obj, value); +}; +var __privateSet = (obj, member, value, setter) => { + __accessCheck(obj, member, "write to private field"); + setter ? setter.call(obj, value) : member.set(obj, value); + return value; +}; + +// dist/tfjs.esm.js +var tfjs_esm_exports = {}; +__export(tfjs_esm_exports, { + version: () => version7 +}); +__reExport(tfjs_esm_exports, dist_star); +__reExport(tfjs_esm_exports, dist_star2); +__reExport(tfjs_esm_exports, dist_star3); +__reExport(tfjs_esm_exports, dist_star4); +__reExport(tfjs_esm_exports, dist_star5); +__reExport(tfjs_esm_exports, dist_star6); +import * as dist_star from "@tensorflow/tfjs-core/dist/index.js"; +import * as dist_star2 from "@tensorflow/tfjs-converter/dist/index.js"; +import * as dist_star3 from "@tensorflow/tfjs-backend-cpu/dist/index.js"; +import * as dist_star4 from "@tensorflow/tfjs-backend-webgl/dist/index.js"; +import * as dist_star5 from "@tensorflow/tfjs-backend-wasm/dist/index.js"; +import * as dist_star6 from "@tensorflow/tfjs-backend-webgpu/dist/index.js"; +var version = "4.5.0"; +var version2 = "4.5.0"; +var version3 = "4.5.0"; +var version4 = "4.5.0"; +var version5 = "4.5.0"; +var version6 = "0.0.1-alpha.20"; +var version7 = { + tfjs: version, + "tfjs-core": version, + // 'tfjs-data': tfjsDataVersion, + // 'tfjs-layers': tfjsLayersVersion, + "tfjs-converter": version2, + "tfjs-backend-cpu": version3, + "tfjs-backend-webgl": version4, + "tfjs-backend-wasm": version5, + "tfjs-backend-webgpu": version6 +}; + +// src/util/util.ts +function log(...msg) { + const dt = /* @__PURE__ */ new Date(); + const ts = `${dt.getHours().toString().padStart(2, "0")}:${dt.getMinutes().toString().padStart(2, "0")}:${dt.getSeconds().toString().padStart(2, "0")}.${dt.getMilliseconds().toString().padStart(3, "0")}`; + if (msg) + console.log(ts, "Human:", ...msg); +} +function join(folder, file) { + const separator = folder.endsWith("/") ? "" : "/"; + const skipJoin = file.startsWith(".") || file.startsWith("/") || file.startsWith("http:") || file.startsWith("https:") || file.startsWith("file:"); + const path = skipJoin ? `${file}` : `${folder}${separator}${file}`; + if (!path.toLocaleLowerCase().includes(".json")) + throw new Error(`modelpath error: expecting json file: ${path}`); + return path; +} +var now = () => { + if (typeof performance !== "undefined") + return performance.now(); + return parseInt((Number(process.hrtime.bigint()) / 1e3 / 1e3).toString()); +}; +function validate(defaults, config3, parent = "config", msgs = []) { + for (const key of Object.keys(config3)) { + if (typeof config3[key] === "object") { + validate(defaults[key], config3[key], key, msgs); + } else { + const defined = defaults && typeof defaults[key] !== "undefined"; + if (!defined) + msgs.push({ reason: "unknown property", where: `${parent}.${key} = ${config3[key]}` }); + const same = defaults && typeof defaults[key] === typeof config3[key]; + if (defined && !same) + msgs.push({ reason: "property type mismatch", where: `${parent}.${key} = ${config3[key]}`, expected: typeof defaults[key] }); + } + } + if (config3.debug && parent === "config" && msgs.length > 0) + log("invalid configuration", msgs); + return msgs; +} +function mergeDeep(...objects) { + const isObject = (obj) => obj && typeof obj === "object"; + return objects.reduce((prev, obj) => { + Object.keys(obj || {}).forEach((key) => { + const pVal = prev[key]; + const oVal = obj[key]; + if (Array.isArray(pVal) && Array.isArray(oVal)) + prev[key] = pVal.concat(...oVal); + else if (isObject(pVal) && isObject(oVal)) + prev[key] = mergeDeep(pVal, oVal); + else + prev[key] = oVal; + }); + return prev; + }, {}); +} + +// src/config.ts +var config = { + backend: "", + modelBasePath: "", + cacheModels: true, + validateModels: true, + wasmPath: "", + wasmPlatformFetch: false, + debug: false, + async: true, + warmup: "full", + cacheSensitivity: 0.7, + skipAllowed: false, + deallocate: false, + flags: {}, + softwareKernels: false, + filter: { + enabled: true, + equalization: false, + width: 0, + height: 0, + flip: false, + return: true, + autoBrightness: true, + brightness: 0, + contrast: 0, + sharpness: 0, + blur: 0, + saturation: 0, + hue: 0, + negative: false, + sepia: false, + vintage: false, + kodachrome: false, + technicolor: false, + polaroid: false, + pixelate: 0 + }, + gesture: { + enabled: true + }, + face: { + enabled: true, + detector: { + modelPath: "blazeface.json", + rotation: false, + maxDetected: 1, + skipFrames: 99, + skipTime: 2500, + minConfidence: 0.2, + minSize: 0, + iouThreshold: 0.1, + mask: false, + return: false + }, + mesh: { + enabled: true, + modelPath: "facemesh.json", + keepInvalid: false + }, + attention: { + enabled: false, + modelPath: "facemesh-attention.json" + }, + iris: { + enabled: true, + modelPath: "iris.json" + }, + emotion: { + enabled: true, + minConfidence: 0.1, + skipFrames: 99, + skipTime: 1500, + modelPath: "emotion.json" + }, + description: { + enabled: true, + modelPath: "faceres.json", + skipFrames: 99, + skipTime: 3e3, + minConfidence: 0.1 + }, + antispoof: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "antispoof.json" + }, + liveness: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "liveness.json" + } + }, + body: { + enabled: true, + modelPath: "movenet-lightning.json", + maxDetected: -1, + minConfidence: 0.3, + skipFrames: 1, + skipTime: 200 + }, + hand: { + enabled: true, + rotation: true, + skipFrames: 99, + skipTime: 1e3, + minConfidence: 0.5, + iouThreshold: 0.2, + maxDetected: -1, + landmarks: true, + detector: { + modelPath: "handtrack.json" + }, + skeleton: { + modelPath: "handlandmark-lite.json" + } + }, + object: { + enabled: false, + modelPath: "centernet.json", + minConfidence: 0.2, + iouThreshold: 0.4, + maxDetected: 10, + skipFrames: 99, + skipTime: 2e3 + }, + segmentation: { + enabled: false, + modelPath: "rvm.json", + ratio: 0.5, + mode: "default" + } +}; + +// src/image/imagefxshaders.ts +var vertexIdentity = ` precision highp float; attribute vec2 pos; attribute vec2 uv; @@ -14,7 +281,8 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec vUv = uv; gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.); } -`;var Y5=` +`; +var colorMatrixWithAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -26,7 +294,8 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14]; gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19]; } -`,K5=` +`; +var colorMatrixWithoutAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -38,7 +307,8 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14]; gl_FragColor.a = c.a; } -`,J5=` +`; +var pixelate = ` precision highp float; varying vec2 vUv; uniform vec2 size; @@ -51,7 +321,8 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec vec2 coord = pixelate(vUv, size); gl_FragColor += texture2D(texture, coord); } -`,Q5=` +`; +var blur = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -74,7 +345,8 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794; gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265; } -`,_5=` +`; +var convolution = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -96,20 +368,6186 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var lt=(e,t,n)=>{let o=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(o,(s,A)=>(n[A]=0,s))},ct=class{constructor(t,n,o){z(this,"uniform",{});z(this,"attribute",{});z(this,"gl");z(this,"id");z(this,"compile",(t,n)=>{let o=this.gl.createShader(n);return o?(this.gl.shaderSource(o,t),this.gl.compileShader(o),this.gl.getShaderParameter(o,this.gl.COMPILE_STATUS)?o:(b(`filter: gl compile failed: ${this.gl.getShaderInfoLog(o)||"unknown"}`),null)):(b("filter: could not create shader"),null)});this.gl=t;let s=this.compile(n,this.gl.VERTEX_SHADER),A=this.compile(o,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!s||!A)){if(!this.id){b("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,s),this.gl.attachShader(this.id,A),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){b(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),lt(n,"attribute",this.attribute);for(let a in this.attribute)this.attribute[a]=this.gl.getAttribLocation(this.id,a);lt(n,"uniform",this.uniform),lt(o,"uniform",this.uniform);for(let a in this.uniform)this.uniform[a]=this.gl.getUniformLocation(this.id,a)}}};function $5(){let e=0,t=null,n=!1,o=-1,s=[null,null],A=[],a=null,i=null,c=D0(100,100),d={},y={INTERMEDIATE:1},l=c.getContext("webgl");if(!l){b("filter: cannot get webgl context");return}this.gl=l;function m(T,u){if(!(T===c.width&&u===c.height)){if(c.width=T,c.height=u,!a){let g=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);a=l.createBuffer(),l.bindBuffer(l.ARRAY_BUFFER,a),l.bufferData(l.ARRAY_BUFFER,g,l.STATIC_DRAW),l.pixelStorei(l.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}l.viewport(0,0,c.width,c.height),s=[null,null]}}function x(T,u){let g=l.createFramebuffer();l.bindFramebuffer(l.FRAMEBUFFER,g);let w=l.createRenderbuffer();l.bindRenderbuffer(l.RENDERBUFFER,w);let k=l.createTexture();return l.bindTexture(l.TEXTURE_2D,k),l.texImage2D(l.TEXTURE_2D,0,l.RGBA,T,u,0,l.RGBA,l.UNSIGNED_BYTE,null),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MAG_FILTER,l.LINEAR),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MIN_FILTER,l.LINEAR),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_S,l.CLAMP_TO_EDGE),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_T,l.CLAMP_TO_EDGE),l.framebufferTexture2D(l.FRAMEBUFFER,l.COLOR_ATTACHMENT0,l.TEXTURE_2D,k,0),l.bindTexture(l.TEXTURE_2D,null),l.bindFramebuffer(l.FRAMEBUFFER,null),{fbo:g,texture:k}}function p(T){return s[T]=s[T]||x(c.width,c.height),s[T]}function f(T=0){if(!i)return;let u=null,g=null,w=!1;e===0?u=t:u=p(o).texture||null,e++,n&&!(T&y.INTERMEDIATE)?(g=null,w=e%2===0):(o=(o+1)%2,g=p(o).fbo||null),l.bindTexture(l.TEXTURE_2D,u),l.bindFramebuffer(l.FRAMEBUFFER,g),l.uniform1f(i.uniform.flipY,w?-1:1),l.drawArrays(l.TRIANGLES,0,6)}function h(T){if(d[T])return i=d[T],l.useProgram((i?i.id:null)||null),i;if(i=new ct(l,U5,T),!i)return b("filter: could not get webgl program"),null;let u=Float32Array.BYTES_PER_ELEMENT,g=4*u;return l.enableVertexAttribArray(i.attribute.pos),l.vertexAttribPointer(i.attribute.pos,2,l.FLOAT,!1,g,0*u),l.enableVertexAttribArray(i.attribute.uv),l.vertexAttribPointer(i.attribute.uv,2,l.FLOAT,!1,g,2*u),d[T]=i,i}let v={colorMatrix:T=>{let u=new Float32Array(T);u[4]/=255,u[9]/=255,u[14]/=255,u[19]/=255;let g=u[18]===1&&u[3]===0&&u[8]===0&&u[13]===0&&u[15]===0&&u[16]===0&&u[17]===0&&u[19]===0?K5:Y5,w=h(g);w&&(l.uniform1fv(w.uniform.m,u),f())},brightness:T=>{let u=(T||0)+1;v.colorMatrix([u,0,0,0,0,0,u,0,0,0,0,0,u,0,0,0,0,0,1,0])},saturation:T=>{let u=(T||0)*2/3+1,g=(u-1)*-.5;v.colorMatrix([u,g,g,0,0,g,u,g,0,0,g,g,u,0,0,0,0,0,1,0])},desaturate:()=>{v.saturation(-1)},contrast:T=>{let u=(T||0)+1,g=-128*(u-1);v.colorMatrix([u,0,0,0,g,0,u,0,0,g,0,0,u,0,g,0,0,0,1,0])},negative:()=>{v.contrast(-2)},hue:T=>{T=(T||0)/180*Math.PI;let u=Math.cos(T),g=Math.sin(T),w=.213,k=.715,N=.072;v.colorMatrix([w+u*(1-w)+g*-w,k+u*-k+g*-k,N+u*-N+g*(1-N),0,0,w+u*-w+g*.143,k+u*(1-k)+g*.14,N+u*-N+g*-.283,0,0,w+u*-w+g*-(1-w),k+u*-k+g*k,N+u*(1-N)+g*N,0,0,0,0,0,1,0])},desaturateLuminance:()=>{v.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{v.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{v.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{v.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{v.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{v.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{v.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{v.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:T=>{let u=new Float32Array(T),g=1/c.width,w=1/c.height,k=h(_5);k&&(l.uniform1fv(k.uniform.m,u),l.uniform2f(k.uniform.px,g,w),f())},detectEdges:()=>{v.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{v.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{v.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:T=>{let u=T||1;v.convolution.call(this,[0,-1*u,0,-1*u,1+4*u,-1*u,0,-1*u,0])},emboss:T=>{let u=T||1;v.convolution.call(this,[-2*u,-1*u,0,-1*u,1,1*u,0,1*u,2*u])},blur:T=>{let u=T/7/c.width,g=T/7/c.height,w=h(Q5);w&&(l.uniform2f(w.uniform.px,0,g),f(y.INTERMEDIATE),l.uniform2f(w.uniform.px,u,0),f())},pixelate:T=>{let u=T/c.width,g=T/c.height,w=h(J5);w&&(l.uniform2f(w.uniform.size,u,g),f())}};this.add=function(T){let u=Array.prototype.slice.call(arguments,1),g=v[T];A.push({func:g,args:u})},this.reset=function(){A=[]},this.get=function(){return A},this.apply=function(T){m(T.width,T.height),e=0,t||(t=l.createTexture()),l.bindTexture(l.TEXTURE_2D,t),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_S,l.CLAMP_TO_EDGE),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_T,l.CLAMP_TO_EDGE),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MIN_FILTER,l.NEAREST),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MAG_FILTER,l.NEAREST),l.texImage2D(l.TEXTURE_2D,0,l.RGBA,l.RGBA,l.UNSIGNED_BYTE,T);for(let u=0;uy.data())),a=Math.max(A[0][0],A[1][0],A[2][0]),c=(a>1?255:1)/a,d;if(c>1){let y=[r.sub(n[0],o[0]),r.sub(n[1],o[1]),r.sub(n[2],o[2])],l=[r.sub(s[0],o[0]),r.sub(s[1],o[1]),r.sub(s[2],o[2])],m=[r.mul(y[0],c),r.mul(y[1],c),r.mul(y[2],c)],x=r.stack([m[0],m[1],m[2]],2);d=r.reshape(x,[1,t.shape[0]||0,t.shape[1]||0,3]),r.dispose([...y,...l,...m])}else d=r.expandDims(t,0);return r.dispose([...n,...o,...s,n,t,e]),d}var x2=3840,l0=null,c0=null,We=null,X,L0={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function dt(){L0.inputSum=0,L0.cacheDiff=1,L0.sumMethod=0,L0.inputTensor=void 0}function D0(e,t){let n;if(P.browser)if(P.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")n=document.createElement("canvas"),n.width=e,n.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof P.Canvas!="undefined")n=new P.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")n=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof P.Canvas!="undefined"?n=new P.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t));return n}function y2(e,t){let n=t||D0(e.width,e.height);return n.getContext("2d").drawImage(e,0,0),n}async function f2(e,t,n=!0){var m,x,p;if(!e)return t.debug&&b("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof r.Tensor)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof r.Tensor){let f=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)f=r.expandDims(e,0);else if(e.shape[2]===4){let h=r.slice3d(e,[0,0,0],[-1,-1,3]);f=r.expandDims(h,0),r.dispose(h)}}else e.shape.length===4&&(e.shape[3]===3?f=r.clone(e):e.shape[3]===4&&(f=r.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(f==null||f.shape.length!==4||f.shape[0]!==1||f.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(f.dtype==="int32"){let h=r.cast(f,"float32");r.dispose(f),f=h}return{tensor:f,canvas:t.filter.return?c0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&b("input stream is not ready"),{tensor:null,canvas:l0};let o=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,s=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!o||!s)return t.debug&&b("cannot determine input dimensions"),{tensor:null,canvas:l0};let A=o,a=s;if(A>x2&&(A=x2,a=Math.trunc(A*s/o)),a>x2&&(a=x2,A=Math.trunc(a*o/s)),(((m=t.filter)==null?void 0:m.width)||0)>0?A=t.filter.width:(((x=t.filter)==null?void 0:x.height)||0)>0&&(A=o*((t.filter.height||0)/s)),(t.filter.height||0)>0?a=t.filter.height:(t.filter.width||0)>0&&(a=s*((t.filter.width||0)/o)),!A||!a)throw new Error("input error: cannot determine dimension");(!l0||l0.width!==A||l0.height!==a)&&(l0=D0(A,a));let i=l0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?i.putImageData(e,0,0):t.filter.flip&&typeof i.translate!="undefined"?(i.translate(o,0),i.scale(-1,1),i.drawImage(e,0,0,o,s,0,0,l0.width,l0.height),i.setTransform(1,0,0,1,0,0)):i.drawImage(e,0,0,o,s,0,0,l0.width,l0.height),(!c0||l0.width!==c0.width||l0.height!==c0.height)&&(c0=D0(l0.width,l0.height)),t.filter.enabled&&P.webgl.supported?(X||(X=P.browser?new $5:null),P.filter=!!X,X!=null&&X.add?(X.reset(),t.filter.brightness!==0&&X.add("brightness",t.filter.brightness),t.filter.contrast!==0&&X.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&X.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&X.add("blur",t.filter.blur),t.filter.saturation!==0&&X.add("saturation",t.filter.saturation),t.filter.hue!==0&&X.add("hue",t.filter.hue),t.filter.negative&&X.add("negative"),t.filter.sepia&&X.add("sepia"),t.filter.vintage&&X.add("brownie"),t.filter.sepia&&X.add("sepia"),t.filter.kodachrome&&X.add("kodachrome"),t.filter.technicolor&&X.add("technicolor"),t.filter.polaroid&&X.add("polaroid"),t.filter.pixelate!==0&&X.add("pixelate",t.filter.pixelate),((p=X.get())==null?void 0:p.length)>1?c0=X.apply(l0):c0=X.draw(l0)):(t.debug&&b("input process error: cannot initialize filters"),P.webgl.supported=!1,t.filter.enabled=!1,y2(l0,c0))):(y2(l0,c0),X&&(X=null),P.filter=!!X),!n)return{tensor:null,canvas:c0};if(!c0)throw new Error("canvas error: cannot create output");let c,d=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(P.browser&&r.browser)c=r.browser?r.browser.fromPixels(e):null;else{d=e.data.length/e.height/e.width;let f=new Uint8Array(e.data.buffer);c=r.tensor(f,[e.height,e.width,d],"int32")}else if((!We||c0.width!==We.width||c0.height!==We.height)&&(We=D0(c0.width,c0.height)),r.browser&&P.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?c=r.browser.fromPixels(c0):(We=y2(c0),c=r.browser.fromPixels(We));else{let v=y2(c0).getContext("2d").getImageData(0,0,A,a);d=v.data.length/A/a;let T=new Uint8Array(v.data.buffer);c=r.tensor(T,[A,a,d])}if(d===4){let f=r.slice3d(c,[0,0,0],[-1,-1,3]);r.dispose(c),c=f}if(!c)throw new Error("input error: cannot create tensor");let y=r.cast(c,"float32"),l=t.filter.equalization?await d2(y):r.expandDims(y,0);if(r.dispose([c,y]),t.filter.autoBrightness){let f=r.max(l),h=await f.data();t.filter.brightness=h[0]>1?1-h[0]/255:1-h[0],r.dispose(f)}return{tensor:l,canvas:t.filter.return?c0:null}}async function e1(e,t){let n=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return n;if(!L0.inputTensor)L0.inputTensor=r.clone(t);else if(L0.inputTensor.shape[1]!==t.shape[1]||L0.inputTensor.shape[2]!==t.shape[2])r.dispose(L0.inputTensor),L0.inputTensor=r.clone(t);else{let o={};o.diff=r.sub(t,L0.inputTensor),o.squared=r.mul(o.diff,o.diff),o.sum=r.sum(o.squared);let A=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;r.dispose([L0.inputTensor,o.diff,o.squared,o.sum]),L0.inputTensor=r.clone(t),n=A<=(e.cacheSensitivity||0)}return n}async function t1(e,t,n){let o={};if(!t||!n||t.shape.length!==4||t.shape.length!==n.shape.length)return e.debug||b("invalid input tensor or tensor shapes do not match:",t.shape,n.shape),0;if(t.shape[0]!==1||n.shape[0]!==1||t.shape[3]!==3||n.shape[3]!==3)return e.debug||b("input tensors must be of shape [1, height, width, 3]:",t.shape,n.shape),0;o.input1=r.clone(t),o.input2=t.shape[1]!==n.shape[1]||t.shape[2]!==n.shape[2]?r.image.resizeBilinear(n,[t.shape[1],t.shape[2]]):r.clone(n),o.diff=r.sub(o.input1,o.input2),o.squared=r.mul(o.diff,o.diff),o.sum=r.sum(o.squared);let A=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return r.dispose([o.input1,o.input2,o.diff,o.squared,o.sum]),A}var Qe,_e,$e,p2=class{constructor(){z(this,"browser");z(this,"node");z(this,"worker");z(this,"platform","");z(this,"agent","");z(this,"backends",[]);z(this,"initial");z(this,"filter");z(this,"tfjs");z(this,"offscreen");z(this,"perfadd",!1);z(this,"tensorflow",{version:void 0,gpu:void 0});z(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});z(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});z(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});z(this,"cpu",{model:void 0,flags:[]});z(this,"kernels",[]);q0(this,Qe,void 0);q0(this,_e,void 0);q0(this,$e,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:Je["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",n=t.match(/\(([^()]+)\)/g);if(n!=null&&n[0]){let o=n[0].match(/\(([^()]+)\)/g);this.platform=o!=null&&o[0]?o[0].replace(/\(|\)/g,""):"",this.agent=t.replace(n[0],""),this.platform[1]&&(this.agent=this.agent.replace(n[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return E0(this,Qe)}set Canvas(t){Q0(this,Qe,t),globalThis.Canvas=t}get Image(){return E0(this,_e)}set Image(t){Q0(this,_e,t),globalThis.Image=t}get ImageData(){return E0(this,$e)}set ImageData(t){Q0(this,$e,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(r.engine().registryFactory);try{this.tensorflow={version:r.backend().binding?r.backend().binding.TF_Version:void 0,gpu:r.backend().binding?r.backend().binding.isUsingGpuDevice():void 0}}catch(o){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await r.env().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await r.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=D0(100,100),n=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof n!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&n&&(this.webgl.version=n.getParameter(n.VERSION),this.webgl.vendor=n.getParameter(n.VENDOR),this.webgl.renderer=n.getParameter(n.RENDERER),this.webgl.shader=n.getParameter(n.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let o=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(o==null?void 0:o.requestAdapterInfo())}}catch(o){this.webgpu.supported=!1}try{this.kernels=r.getKernelsForBackend(r.getBackend()).map(o=>o.kernelName.toLowerCase())}catch(o){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};Qe=new WeakMap,_e=new WeakMap,$e=new WeakMap;var P=new p2;var u2=class{constructor(){z(this,"config");z(this,"element");z(this,"stream");z(this,"devices",[]);z(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(n=>n.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});z(this,"start",async t=>{var s,A;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let a=document.getElementById(t.element);if(a&&a instanceof HTMLVideoElement)this.element=a;else{this.config.debug&&b("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&b("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let n={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((s=this.config)==null?void 0:s.width)>0&&(n.video.width={ideal:this.config.width}),((A=this.config)==null?void 0:A.height)>0&&(n.video.height={ideal:this.config.height}),this.config.id&&(n.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&b("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&b("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&b("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(n)}catch(a){b("webcam",a);return}if(!this.stream){this.config.debug&&b("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(a=>{this.element?this.element.onloadeddata=()=>a(!0):a(!1)}),await this.element.play(),this.config.debug&&b("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});z(this,"pause",()=>{this.element&&this.element.pause()});z(this,"play",async()=>{this.element&&await this.element.play()});z(this,"stop",()=>{this.config.debug&&b("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var xt={};oe(xt,{"affectnet-mobilenet":()=>go,age:()=>To,"anti-spoofing":()=>$o,antispoof:()=>ao,blazeface:()=>io,"blazeface-back":()=>vo,"blazeface-front":()=>Ro,"blazepose-detector":()=>Mo,"blazepose-full":()=>Po,"blazepose-heavy":()=>ko,"blazepose-lite":()=>wo,centernet:()=>lo,default:()=>xr,efficientpose:()=>Eo,"efficientpose-i-lite":()=>er,"efficientpose-ii-lite":()=>tr,"efficientpose-iv":()=>nr,emotion:()=>co,faceboxes:()=>zo,facemesh:()=>xo,"facemesh-attention":()=>jo,"facemesh-attention-pinto":()=>So,"facemesh-detection-full":()=>Io,"facemesh-detection-short":()=>No,faceres:()=>yo,"faceres-deep":()=>Lo,gear:()=>Wo,"gear-e1":()=>Oo,"gear-e2":()=>Co,gender:()=>Fo,"gender-ssrnet-imdb":()=>Do,handdetect:()=>Bo,"handlandmark-full":()=>Ho,"handlandmark-lite":()=>fo,"handlandmark-sparse":()=>Go,handskeleton:()=>Vo,handtrack:()=>mo,"insightface-efficientnet-b0":()=>or,"insightface-ghostnet-strides1":()=>rr,"insightface-ghostnet-strides2":()=>sr,"insightface-mobilenet-emore":()=>Ar,"insightface-mobilenet-swish":()=>ar,iris:()=>po,liveness:()=>uo,meet:()=>Zo,mobileface:()=>Xo,mobilefacenet:()=>qo,models:()=>ho,"movenet-lightning":()=>bo,"movenet-multipose":()=>Uo,"movenet-thunder":()=>Yo,nanodet:()=>Ko,"nanodet-e":()=>ir,"nanodet-g":()=>lr,"nanodet-m":()=>cr,"nanodet-t":()=>dr,posenet:()=>Jo,rvm:()=>Qo,selfie:()=>_o});var ao=853098,io=538928,lo=4030290,co=820516,xo=1477958,yo=6978814,fo=2023432,mo=2964837,po=2599092,uo=592976,ho=0,bo=4650216,go=6920630,To=161240,vo=538928,Ro=402048,Mo=5928856,Po=6339202,ko=27502466,wo=2726402,Eo=5651240,zo=2013002,So=2387598,jo=2382414,Io=1026192,No=201268,Lo=13957620,Oo=112438,Co=112438,Wo=1498916,Do=161236,Fo=201808,Bo=3515612,Ho=5431368,Go=5286322,Vo=5502280,Zo=372228,Xo=2183192,qo=5171976,Uo=9448838,Yo=12477112,Ko=7574558,Jo=5032780,Qo=3739355,_o=212886,$o=853098,er=2269064,tr=5651240,nr=25643252,or=13013224,rr=8093408,sr=8049584,Ar=6938536,ar=12168584,ir=12319156,lr=7574558,cr=1887474,dr=5294216,xr={antispoof:ao,blazeface:io,centernet:lo,emotion:co,facemesh:xo,faceres:yo,"handlandmark-lite":fo,handtrack:mo,iris:po,liveness:uo,models:ho,"movenet-lightning":bo,"affectnet-mobilenet":go,age:To,"blazeface-back":vo,"blazeface-front":Ro,"blazepose-detector":Mo,"blazepose-full":Po,"blazepose-heavy":ko,"blazepose-lite":wo,efficientpose:Eo,faceboxes:zo,"facemesh-attention-pinto":So,"facemesh-attention":jo,"facemesh-detection-full":Io,"facemesh-detection-short":No,"faceres-deep":Lo,"gear-e1":Oo,"gear-e2":Co,gear:Wo,"gender-ssrnet-imdb":Do,gender:Fo,handdetect:Bo,"handlandmark-full":Ho,"handlandmark-sparse":Go,handskeleton:Vo,meet:Zo,mobileface:Xo,mobilefacenet:qo,"movenet-multipose":Uo,"movenet-thunder":Yo,nanodet:Ko,posenet:Jo,rvm:Qo,selfie:_o,"anti-spoofing":$o,"efficientpose-i-lite":er,"efficientpose-ii-lite":tr,"efficientpose-iv":nr,"insightface-efficientnet-b0":or,"insightface-ghostnet-strides1":rr,"insightface-ghostnet-strides2":sr,"insightface-mobilenet-emore":Ar,"insightface-mobilenet-swish":ar,"nanodet-e":ir,"nanodet-g":lr,"nanodet-m":cr,"nanodet-t":dr};var T0={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},p0={};async function yr(e,t){return T0.debug&&b("load model fetch:",e,t),fetch(e,t)}function n1(e){T0.cacheModels=e.cacheModels,T0.verbose=e.debug,T0.modelBasePath=e.modelBasePath}async function L(e){var d,y,l,m;let t=q5(T0.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let n=t.includes("/")?t.split("/"):t.split("\\"),o=n[n.length-1].replace(".json",""),s="indexeddb://"+o;p0[o]={name:o,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:xt[o],inCache:!1,url:""},T0.cacheSupported=typeof indexedDB!="undefined";let A={};try{A=T0.cacheSupported&&T0.cacheModels?await r.io.listModels():{}}catch(x){T0.cacheSupported=!1}p0[o].inCache=T0.cacheSupported&&T0.cacheModels&&Object.keys(A).includes(s),p0[o].url=p0[o].inCache?s:t;let a=typeof fetch=="undefined"?{}:{fetchFunc:(x,p)=>yr(x,p)},i=new r.GraphModel(p0[o].url,a),c=!1;try{i.findIOHandler(),T0.debug&&b("model load handler:",i.handler)}catch(x){b("error finding model i/o handler:",t,x)}try{let x=await((d=i.handler)==null?void 0:d.load())||null;p0[o].sizeFromManifest=((y=x==null?void 0:x.weightData)==null?void 0:y.byteLength)||0,x?i.loadSync(x):i=await r.loadGraphModel(p0[o].inCache?s:t,a),p0[o].sizeLoadedWeights=((m=(l=i.artifacts)==null?void 0:l.weightData)==null?void 0:m.byteLength)||0,T0.verbose&&b("load:",{model:o,url:i.modelUrl,bytes:p0[o].sizeLoadedWeights}),c=!0}catch(x){b("error loading model:",t,x)}if(c&&T0.cacheModels&&T0.cacheSupported&&!p0[o].inCache)try{let x=await i.save(s);T0.debug&&b("model saved:",s,x)}catch(x){b("error saving model:",t,x)}return i}var yt="3.0.6";var Y={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function pr(){let e=Y.gl;e&&(Y.extensions=e.getSupportedExtensions())}function o1(e){var t;if(e.config.backend==="humangl"&&(Y.name in r.engine().registry&&!((t=Y==null?void 0:Y.gl)!=null&&t.getParameter(Y.gl.VERSION))&&(b("humangl error: backend invalid context"),e.models.reset()),!r.findBackend(Y.name))){try{Y.canvas=D0(100,100)}catch(s){b("humangl error: cannot create canvas:",s);return}try{if(Y.gl=Y.canvas.getContext("webgl2",Y.webGLattr),!Y.gl){b("humangl error: cannot get webgl context");return}if(!Y.gl.getParameter(Y.gl.VERSION).includes("2.0")){b("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}Y.canvas&&(Y.canvas.addEventListener("webglcontextlost",A=>{throw b("humangl error:",A.type),b("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),Y.canvas.addEventListener("webglcontextrestored",A=>{b("humangl error: context restored:",A)}),Y.canvas.addEventListener("webglcontextcreationerror",A=>{b("humangl error: context create:",A)}))}catch(s){b("humangl error: cannot get webgl context:",s);return}try{r.setWebGLContext(2,Y.gl)}catch(s){b("humangl error: cannot set webgl context:",s);return}try{let s=new r.GPGPUContext(Y.gl);r.registerBackend(Y.name,()=>new r.MathBackendWebGL(s),Y.priority)}catch(s){b("humangl error: cannot register webgl backend:",s);return}try{r.getKernelsForBackend("webgl").forEach(A=>{let a={...A,backendName:Y.name};r.registerKernel(a)})}catch(s){b("humangl error: cannot update webgl backend registration:",s);return}try{r.env().flagRegistry.WEBGL_VERSION&&r.env().set("WEBGL_VERSION",2)}catch(s){b("humangl error: cannot set WebGL backend flags:",s);return}pr();let n=r.backend(),o=typeof n.gpgpu!="undefined"?n.getGPGPUContext().gl:null;o?e.config.debug&&b("humangl backend registered:",{webgl:o.getParameter(o.VERSION),renderer:o.getParameter(o.RENDERER)}):b("humangl error: no current gl context:",o,Y.gl)}}var O={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function r1(){O.tf255=r.scalar(255,"float32"),O.tf1=r.scalar(1,"float32"),O.tf2=r.scalar(2,"float32"),O.tf05=r.scalar(.5,"float32"),O.tf127=r.scalar(127.5,"float32"),O.rgb=r.tensor1d([.2989,.587,.114],"float32")}async function br(){var e;return await P.updateBackend(),(e=P.tensorflow)!=null&&e.version?"tensorflow":P.webgpu.supported&&P.webgpu.backend?"webgpu":P.webgl.supported&&P.webgl.backend?"webgl":P.wasm.supported&&P.wasm.backend?"wasm":"cpu"}function gr(e){let t=[];if(!P.kernels.includes("mod")){let n={kernelName:"Mod",backendName:r.getBackend(),kernelFunc:o=>r.tidy(()=>r.sub(o.inputs.a,r.mul(r.div(o.inputs.a,o.inputs.b),o.inputs.b)))};r.registerKernel(n),P.kernels.push("mod"),t.push("mod")}if(!P.kernels.includes("floormod")){let n={kernelName:"FloorMod",backendName:r.getBackend(),kernelFunc:o=>r.tidy(()=>r.add(r.mul(r.floorDiv(o.inputs.a,o.inputs.b),o.inputs.b),r.mod(o.inputs.a,o.inputs.b)))};r.registerKernel(n),P.kernels.push("floormod"),t.push("floormod")}if(!P.kernels.includes("rotatewithoffset")&&e.softwareKernels){let n={kernelName:"RotateWithOffset",backendName:r.getBackend(),kernelFunc:o=>r.tidy(()=>{let s=r.getBackend();r.setBackend("cpu");let A=r.image.rotateWithOffset(o.inputs.image,o.attrs.radians,o.attrs.fillValue,o.attrs.center);return r.setBackend(s),A})};r.registerKernel(n),P.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&b("registered kernels:",t)}var s1={};async function e2(e,t=!1){var n,o;if(e.state="backend",((n=e.config.backend)==null?void 0:n.length)===0&&(e.config.backend=await br()),t||P.initial||e.config.backend&&e.config.backend.length>0&&r.getBackend()!==e.config.backend){let s=R();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&b("running inside web worker"),typeof navigator!="undefined"&&((o=navigator==null?void 0:navigator.userAgent)!=null&&o.toLowerCase().includes("electron"))&&e.config.debug&&b("running inside electron");let A=Object.keys(r.engine().registryFactory);if(e.config.backend==="humangl"&&!A.includes("humangl")&&(o1(e),A=Object.keys(r.engine().registryFactory)),e.config.debug&&b("available backends:",A),P.browser&&!P.node&&e.config.backend==="tensorflow"&&A.includes("webgl")&&(e.config.debug&&b("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),P.node&&!P.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&A.includes("tensorflow")&&(e.config.debug&&b(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),P.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")b("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let a=await navigator.gpu.requestAdapter();if(e.config.debug&&b("enumerated webgpu adapter:",a),!a)b("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let i="requestAdapterInfo"in a?await a.requestAdapterInfo():void 0;b("webgpu adapter info:",i)}}if(A.includes(e.config.backend)||(b(`error: backend ${e.config.backend} not found in registry`),e.config.backend=P.node?"tensorflow":"webgl",e.config.debug&&b(`override: setting backend ${e.config.backend}`)),e.config.debug&&b("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(r.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&r.env().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&b("wasm path:",e.config.wasmPath),typeof r.setWasmPaths!="undefined")r.setWasmPaths(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let a=!1,i=!1;try{a=await r.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),i=await r.env().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&b(`wasm execution: ${i?"simd":"no simd"} ${a?"multithreaded":"singlethreaded"}`),e.config.debug&&!i&&b("warning: wasm simd support is not enabled")}catch(c){b("wasm detection failed")}}try{await r.setBackend(e.config.backend),await r.ready()}catch(a){return b("error: cannot set backend:",e.config.backend,a),!1}e.config.debug&&(s1=JSON.parse(JSON.stringify(r.env().flags)))}if((r.getBackend()==="humangl"||r.getBackend()==="webgl")&&(r.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&r.env().set("WEBGL_USE_SHAPES_UNIFORMS",!0),r.env().flagRegistry.WEBGL_EXP_CONV&&r.env().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(b("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),r.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),r.getBackend(),e.config.debug){let A=r.env().flags,a={};for(let i of Object.keys(A))s1[i]!==A[i]&&(a[i]=A[i]);e.config.debug&&Object.keys(a).length>0&&b("backend:",r.getBackend(),"flags:",a)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&b("flags:",e.config.flags);for(let[A,a]of Object.entries(e.config.flags))r.env().set(A,a)}r.enableProdMode(),r1(),e.performance.initBackend=Math.trunc(R()-s),e.config.backend=r.getBackend(),await P.updateBackend(),gr(e.config)}return!0}function h2(e,t){for(let n of e){let o={kernelName:n,backendName:t.backend,kernelFunc:s=>{var A;return t.debug&&b("kernelFunc",n,t.backend,s),(A=s==null?void 0:s.inputs)==null?void 0:A.info}};r.registerKernel(o)}P.kernels=r.getKernelsForBackend(r.getBackend()).map(n=>n.kernelName.toLowerCase())}var Tt={};oe(Tt,{all:()=>Qr,body:()=>g2,canvas:()=>Jr,face:()=>b2,gesture:()=>R2,hand:()=>T2,init:()=>gt,object:()=>v2,options:()=>n0,person:()=>Kr});var O0=e=>{if(!e)b("draw error: invalid canvas");else if(!e.getContext)b("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)b("draw error: cannot get canvas context");else return t}return null},ge=e=>Math.round(e*180/Math.PI),H=(e,t,n)=>e.replace(t,typeof n=="number"?n.toFixed(1):n),Te=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let n=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${n[0]}, ${n[1]}, ${n[2]}, ${t.alpha})`};function C0(e,t,n,o,s){let A=t.replace(/\[.*\]/g,"").split(` -`).map(i=>i.trim()),a=Math.max(0,n);for(let i=A.length-1;i>=0;i--){let c=i*s.lineHeight+o;s.shadowColor&&s.shadowColor!==""&&(e.fillStyle=s.shadowColor,e.fillText(A[i],a+5,c+16)),e.fillStyle=s.labelColor,e.fillText(A[i],a+4,c+15)}}function U0(e,t,n,o,s){e.fillStyle=Te(o,s),e.beginPath(),e.arc(t,n,s.pointSize,0,2*Math.PI),e.fill()}function Y0(e,t,n,o,s,A){if(e.beginPath(),e.lineWidth=A.lineWidth,A.useCurves){let a=(t+t+o)/2,i=(n+n+s)/2;e.ellipse(a,i,o/2,s/2,0,0,2*Math.PI)}else e.moveTo(t+A.roundRect,n),e.lineTo(t+o-A.roundRect,n),e.quadraticCurveTo(t+o,n,t+o,n+A.roundRect),e.lineTo(t+o,n+s-A.roundRect),e.quadraticCurveTo(t+o,n+s,t+o-A.roundRect,n+s),e.lineTo(t+A.roundRect,n+s),e.quadraticCurveTo(t,n+s,t,n+s-A.roundRect),e.lineTo(t,n+A.roundRect),e.quadraticCurveTo(t,n,t+A.roundRect,n),e.closePath();e.stroke()}function ft(e,t,n){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let o of t)e.strokeStyle=Te(o[2]||0,n),e.lineTo(Math.trunc(o[0]),Math.trunc(o[1]));e.stroke(),n.fillPolygons&&(e.closePath(),e.fill())}}function a1(e,t,n){if(!(t.length<2)){if(e.lineWidth=n.lineWidth,!n.useCurves||t.length<=2){ft(e,t,n);return}e.moveTo(t[0][0],t[0][1]);for(let o=0;ot2[e]),YA=vr.map(e=>t2[e]),KA=Rr.map(e=>t2[e]);function re(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Mr=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Pr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],kr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],wr=[[474,475],[475,476],[476,477],[477,474]],Er=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],zr=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Sr=[[469,470],[470,471],[471,472],[472,469]],jr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],JA={lips:re(Mr),leftEye:re(Pr),leftEyebrow:re(kr),leftIris:re(wr),rightEye:re(Er),rightEyebrow:re(zr),rightIris:re(Sr),faceOval:re(jr)};var Ir=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Lr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Or=[[474,475],[475,476],[476,477],[477,474]],Cr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Wr=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Dr=[[469,470],[470,471],[471,472],[472,469]],Fr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function se(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Br={lips:se(Ir),leftEye:se(Nr),leftEyebrow:se(Lr),leftIris:se(Or),rightEye:se(Cr),rightEyebrow:se(Wr),rightIris:se(Dr),faceOval:se(Fr)},Hr=Object.entries(Br).map(([e,t])=>t.map(n=>[n,e])).flat(),QA=new Map(Hr),n2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Me=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Pe=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var B;function Gr(e,t){var o,s,A,a,i,c,d,y,l;if(!B.drawLabels||((o=B.faceLabels)==null?void 0:o.length)===0)return;let n=B.faceLabels.slice();if(n=H(n,"[id]",e.id.toFixed(0)),e.score&&(n=H(n,"[score]",100*e.score)),e.gender&&(n=H(n,"[gender]",e.gender)),e.genderScore&&(n=H(n,"[genderScore]",100*e.genderScore)),e.age&&(n=H(n,"[age]",e.age)),e.distance&&(n=H(n,"[distance]",100*e.distance)),e.real&&(n=H(n,"[real]",100*e.real)),e.live&&(n=H(n,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let m=e.emotion.map(x=>`${Math.trunc(100*x.score)}% ${x.emotion}`);m.length>3&&(m.length=3),n=H(n,"[emotions]",m.join(" "))}(A=(s=e.rotation)==null?void 0:s.angle)!=null&&A.roll&&(n=H(n,"[roll]",ge(e.rotation.angle.roll))),(i=(a=e.rotation)==null?void 0:a.angle)!=null&&i.yaw&&(n=H(n,"[yaw]",ge(e.rotation.angle.yaw))),(d=(c=e.rotation)==null?void 0:c.angle)!=null&&d.pitch&&(n=H(n,"[pitch]",ge(e.rotation.angle.pitch))),(l=(y=e.rotation)==null?void 0:y.gaze)!=null&&l.bearing&&(n=H(n,"[gaze]",ge(e.rotation.gaze.bearing))),C0(t,n,e.box[0],e.box[1],B)}function Vr(e,t){var n,o,s,A;if((n=e.annotations)!=null&&n.leftEyeIris&&((o=e.annotations)!=null&&o.leftEyeIris[0])){t.strokeStyle=B.useDepth?"rgba(255, 200, 255, 0.3)":B.color,t.beginPath();let a=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,i=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],a,i,0,0,2*Math.PI),t.stroke(),B.fillPolygons&&(t.fillStyle=B.useDepth?"rgba(255, 255, 200, 0.3)":B.color,t.fill())}if((s=e.annotations)!=null&&s.rightEyeIris&&((A=e.annotations)!=null&&A.rightEyeIris[0])){t.strokeStyle=B.useDepth?"rgba(255, 200, 255, 0.3)":B.color,t.beginPath();let a=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,i=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],a,i,0,0,2*Math.PI),t.stroke(),B.fillPolygons&&(t.fillStyle=B.useDepth?"rgba(255, 255, 200, 0.3)":B.color,t.fill())}}function Zr(e,t){var n;if(B.drawGaze&&((n=e.rotation)!=null&&n.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let o=e.box[0]+e.box[2]/2-e.box[3]*ge(e.rotation.angle.yaw)/90,s=e.box[1]+e.box[3]/2+e.box[2]*ge(e.rotation.angle.pitch)/90,A=new Path2D(` - M ${e.box[0]+e.box[2]/2} ${e.box[1]} +`; + +// src/image/imagefx.ts +var collect = (source, prefix, collection) => { + const r = new RegExp("\\b" + prefix + " \\w+ (\\w+)", "ig"); + source.replace(r, (match2, name) => { + collection[name] = 0; + return match2; + }); +}; +var GLProgram = class { + constructor(gl, vertexSource, fragmentSource) { + __publicField(this, "uniform", {}); + __publicField(this, "attribute", {}); + __publicField(this, "gl"); + __publicField(this, "id"); + __publicField(this, "compile", (source, type) => { + const shader = this.gl.createShader(type); + if (!shader) { + log("filter: could not create shader"); + return null; + } + this.gl.shaderSource(shader, source); + this.gl.compileShader(shader); + if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) { + log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || "unknown"}`); + return null; + } + return shader; + }); + this.gl = gl; + const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER); + const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER); + this.id = this.gl.createProgram(); + if (!vertexShader || !fragmentShader) + return; + if (!this.id) { + log("filter: could not create webgl program"); + return; + } + this.gl.attachShader(this.id, vertexShader); + this.gl.attachShader(this.id, fragmentShader); + this.gl.linkProgram(this.id); + if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) { + log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || "unknown"}`); + return; + } + this.gl.useProgram(this.id); + collect(vertexSource, "attribute", this.attribute); + for (const a in this.attribute) + this.attribute[a] = this.gl.getAttribLocation(this.id, a); + collect(vertexSource, "uniform", this.uniform); + collect(fragmentSource, "uniform", this.uniform); + for (const u in this.uniform) + this.uniform[u] = this.gl.getUniformLocation(this.id, u); + } +}; +function GLImageFilter() { + let drawCount = 0; + let sourceTexture = null; + let lastInChain = false; + let currentFramebufferIndex = -1; + let tempFramebuffers = [null, null]; + let filterChain = []; + let vertexBuffer = null; + let currentProgram = null; + const fxcanvas = canvas(100, 100); + const shaderProgramCache = {}; + const DRAW = { INTERMEDIATE: 1 }; + const gl = fxcanvas.getContext("webgl"); + if (!gl) { + log("filter: cannot get webgl context"); + return; + } + this.gl = gl; + function resize(width, height) { + if (width === fxcanvas.width && height === fxcanvas.height) + return; + fxcanvas.width = width; + fxcanvas.height = height; + if (!vertexBuffer) { + const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); + vertexBuffer = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer); + gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW); + gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true); + } + gl.viewport(0, 0, fxcanvas.width, fxcanvas.height); + tempFramebuffers = [null, null]; + } + function createFramebufferTexture(width, height) { + const fbo = gl.createFramebuffer(); + gl.bindFramebuffer(gl.FRAMEBUFFER, fbo); + const renderbuffer = gl.createRenderbuffer(); + gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer); + const texture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, texture); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0); + gl.bindTexture(gl.TEXTURE_2D, null); + gl.bindFramebuffer(gl.FRAMEBUFFER, null); + return { fbo, texture }; + } + function getTempFramebuffer(index2) { + tempFramebuffers[index2] = tempFramebuffers[index2] || createFramebufferTexture(fxcanvas.width, fxcanvas.height); + return tempFramebuffers[index2]; + } + function draw(flags = 0) { + if (!currentProgram) + return; + let source = null; + let target = null; + let flipY = false; + if (drawCount === 0) + source = sourceTexture; + else + source = getTempFramebuffer(currentFramebufferIndex).texture || null; + drawCount++; + if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { + target = null; + flipY = drawCount % 2 === 0; + } else { + currentFramebufferIndex = (currentFramebufferIndex + 1) % 2; + target = getTempFramebuffer(currentFramebufferIndex).fbo || null; + } + gl.bindTexture(gl.TEXTURE_2D, source); + gl.bindFramebuffer(gl.FRAMEBUFFER, target); + gl.uniform1f(currentProgram.uniform["flipY"], flipY ? -1 : 1); + gl.drawArrays(gl.TRIANGLES, 0, 6); + } + function compileShader(fragmentSource) { + if (shaderProgramCache[fragmentSource]) { + currentProgram = shaderProgramCache[fragmentSource]; + gl.useProgram((currentProgram ? currentProgram.id : null) || null); + return currentProgram; + } + currentProgram = new GLProgram(gl, vertexIdentity, fragmentSource); + if (!currentProgram) { + log("filter: could not get webgl program"); + return null; + } + const floatSize = Float32Array.BYTES_PER_ELEMENT; + const vertSize = 4 * floatSize; + gl.enableVertexAttribArray(currentProgram.attribute["pos"]); + gl.vertexAttribPointer(currentProgram.attribute["pos"], 2, gl.FLOAT, false, vertSize, 0 * floatSize); + gl.enableVertexAttribArray(currentProgram.attribute["uv"]); + gl.vertexAttribPointer(currentProgram.attribute["uv"], 2, gl.FLOAT, false, vertSize, 2 * floatSize); + shaderProgramCache[fragmentSource] = currentProgram; + return currentProgram; + } + const filter = { + colorMatrix: (matrix) => { + const m = new Float32Array(matrix); + m[4] /= 255; + m[9] /= 255; + m[14] /= 255; + m[19] /= 255; + const shader = m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0 ? colorMatrixWithoutAlpha : colorMatrixWithAlpha; + const program = compileShader(shader); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + draw(); + }, + brightness: (brightness) => { + const b = (brightness || 0) + 1; + filter.colorMatrix([ + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + saturation: (amount) => { + const x = (amount || 0) * 2 / 3 + 1; + const y = (x - 1) * -0.5; + filter.colorMatrix([ + x, + y, + y, + 0, + 0, + y, + x, + y, + 0, + 0, + y, + y, + x, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturate: () => { + filter.saturation(-1); + }, + contrast: (amount) => { + const v = (amount || 0) + 1; + const o = -128 * (v - 1); + filter.colorMatrix([ + v, + 0, + 0, + 0, + o, + 0, + v, + 0, + 0, + o, + 0, + 0, + v, + 0, + o, + 0, + 0, + 0, + 1, + 0 + ]); + }, + negative: () => { + filter.contrast(-2); + }, + hue: (rotation) => { + rotation = (rotation || 0) / 180 * Math.PI; + const cos = Math.cos(rotation); + const sin = Math.sin(rotation); + const lumR = 0.213; + const lumG = 0.715; + const lumB = 0.072; + filter.colorMatrix([ + lumR + cos * (1 - lumR) + sin * -lumR, + lumG + cos * -lumG + sin * -lumG, + lumB + cos * -lumB + sin * (1 - lumB), + 0, + 0, + lumR + cos * -lumR + sin * 0.143, + lumG + cos * (1 - lumG) + sin * 0.14, + lumB + cos * -lumB + sin * -0.283, + 0, + 0, + lumR + cos * -lumR + sin * -(1 - lumR), + lumG + cos * -lumG + sin * lumG, + lumB + cos * (1 - lumB) + sin * lumB, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturateLuminance: () => { + filter.colorMatrix([ + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0, + 0, + 0, + 1, + 0 + ]); + }, + sepia: () => { + filter.colorMatrix([ + 0.393, + 0.7689999, + 0.18899999, + 0, + 0, + 0.349, + 0.6859999, + 0.16799999, + 0, + 0, + 0.272, + 0.5339999, + 0.13099999, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + brownie: () => { + filter.colorMatrix([ + 0.5997023498159715, + 0.34553243048391263, + -0.2708298674538042, + 0, + 47.43192855600873, + -0.037703249837783157, + 0.8609577587992641, + 0.15059552388459913, + 0, + -36.96841498319127, + 0.24113635128153335, + -0.07441037908422492, + 0.44972182064877153, + 0, + -7.562075277591283, + 0, + 0, + 0, + 1, + 0 + ]); + }, + vintagePinhole: () => { + filter.colorMatrix([ + 0.6279345635605994, + 0.3202183420819367, + -0.03965408211312453, + 0, + 9.651285835294123, + 0.02578397704808868, + 0.6441188644374771, + 0.03259127616149294, + 0, + 7.462829176470591, + 0.0466055556782719, + -0.0851232987247891, + 0.5241648018700465, + 0, + 5.159190588235296, + 0, + 0, + 0, + 1, + 0 + ]); + }, + kodachrome: () => { + filter.colorMatrix([ + 1.1285582396593525, + -0.3967382283601348, + -0.03992559172921793, + 0, + 63.72958762196502, + -0.16404339962244616, + 1.0835251566291304, + -0.05498805115633132, + 0, + 24.732407896706203, + -0.16786010706155763, + -0.5603416277695248, + 1.6014850761964943, + 0, + 35.62982807460946, + 0, + 0, + 0, + 1, + 0 + ]); + }, + technicolor: () => { + filter.colorMatrix([ + 1.9125277891456083, + -0.8545344976951645, + -0.09155508482755585, + 0, + 11.793603434377337, + -0.3087833385928097, + 1.7658908555458428, + -0.10601743074722245, + 0, + -70.35205161461398, + -0.231103377548616, + -0.7501899197440212, + 1.847597816108189, + 0, + 30.950940869491138, + 0, + 0, + 0, + 1, + 0 + ]); + }, + polaroid: () => { + filter.colorMatrix([ + 1.438, + -0.062, + -0.062, + 0, + 0, + -0.122, + 1.378, + -0.122, + 0, + 0, + -0.016, + -0.016, + 1.483, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + shiftToBGR: () => { + filter.colorMatrix([ + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + convolution: (matrix) => { + const m = new Float32Array(matrix); + const pixelSizeX = 1 / fxcanvas.width; + const pixelSizeY = 1 / fxcanvas.height; + const program = compileShader(convolution); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + gl.uniform2f(program.uniform["px"], pixelSizeX, pixelSizeY); + draw(); + }, + detectEdges: () => { + filter.convolution.call(this, [ + 0, + 1, + 0, + 1, + -4, + 1, + 0, + 1, + 0 + ]); + }, + sobelX: () => { + filter.convolution.call(this, [ + -1, + 0, + 1, + -2, + 0, + 2, + -1, + 0, + 1 + ]); + }, + sobelY: () => { + filter.convolution.call(this, [ + -1, + -2, + -1, + 0, + 0, + 0, + 1, + 2, + 1 + ]); + }, + sharpen: (amount) => { + const a = amount || 1; + filter.convolution.call(this, [ + 0, + -1 * a, + 0, + -1 * a, + 1 + 4 * a, + -1 * a, + 0, + -1 * a, + 0 + ]); + }, + emboss: (size2) => { + const s = size2 || 1; + filter.convolution.call(this, [ + -2 * s, + -1 * s, + 0, + -1 * s, + 1, + 1 * s, + 0, + 1 * s, + 2 * s + ]); + }, + blur: (size2) => { + const blurSizeX = size2 / 7 / fxcanvas.width; + const blurSizeY = size2 / 7 / fxcanvas.height; + const program = compileShader(blur); + if (!program) + return; + gl.uniform2f(program.uniform["px"], 0, blurSizeY); + draw(DRAW.INTERMEDIATE); + gl.uniform2f(program.uniform["px"], blurSizeX, 0); + draw(); + }, + pixelate: (size2) => { + const blurSizeX = size2 / fxcanvas.width; + const blurSizeY = size2 / fxcanvas.height; + const program = compileShader(pixelate); + if (!program) + return; + gl.uniform2f(program.uniform["size"], blurSizeX, blurSizeY); + draw(); + } + }; + this.add = function(name) { + const args = Array.prototype.slice.call(arguments, 1); + const func = filter[name]; + filterChain.push({ func, args }); + }; + this.reset = function() { + filterChain = []; + }; + this.get = function() { + return filterChain; + }; + this.apply = function(image28) { + resize(image28.width, image28.height); + drawCount = 0; + if (!sourceTexture) + sourceTexture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, sourceTexture); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image28); + for (let i = 0; i < filterChain.length; i++) { + lastInChain = i === filterChain.length - 1; + const f = filterChain[i]; + f.func.apply(this, f.args || []); + } + return fxcanvas; + }; + this.draw = function(image28) { + this.add("brightness", 0); + return this.apply(image28); + }; +} + +// src/image/enhance.ts +async function histogramEqualization(inputImage) { + const squeeze14 = inputImage.shape.length === 4 ? tfjs_esm_exports.squeeze(inputImage) : inputImage; + const rgb3 = tfjs_esm_exports.split(squeeze14, 3, 2); + const min2 = [tfjs_esm_exports.min(rgb3[0]), tfjs_esm_exports.min(rgb3[1]), tfjs_esm_exports.min(rgb3[2])]; + const max5 = [tfjs_esm_exports.max(rgb3[0]), tfjs_esm_exports.max(rgb3[1]), tfjs_esm_exports.max(rgb3[2])]; + const absMax = await Promise.all(max5.map((channel) => channel.data())); + const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]); + const maxRange = maxValue > 1 ? 255 : 1; + const factor = maxRange / maxValue; + let final; + if (factor > 1) { + const sub11 = [tfjs_esm_exports.sub(rgb3[0], min2[0]), tfjs_esm_exports.sub(rgb3[1], min2[1]), tfjs_esm_exports.sub(rgb3[2], min2[2])]; + const range = [tfjs_esm_exports.sub(max5[0], min2[0]), tfjs_esm_exports.sub(max5[1], min2[1]), tfjs_esm_exports.sub(max5[2], min2[2])]; + const enh = [tfjs_esm_exports.mul(sub11[0], factor), tfjs_esm_exports.mul(sub11[1], factor), tfjs_esm_exports.mul(sub11[2], factor)]; + const stack5 = tfjs_esm_exports.stack([enh[0], enh[1], enh[2]], 2); + final = tfjs_esm_exports.reshape(stack5, [1, squeeze14.shape[0] || 0, squeeze14.shape[1] || 0, 3]); + tfjs_esm_exports.dispose([...sub11, ...range, ...enh, stack5]); + } else { + final = tfjs_esm_exports.expandDims(squeeze14, 0); + } + tfjs_esm_exports.dispose([...rgb3, ...min2, ...max5, rgb3, squeeze14, inputImage]); + return final; +} + +// src/image/image.ts +var maxSize = 3840; +var inCanvas = null; +var outCanvas = null; +var tmpCanvas = null; +var fx; +var last = { + inputSum: 0, + cacheDiff: 1, + sumMethod: 0, + inputTensor: void 0 +}; +function reset() { + last.inputSum = 0; + last.cacheDiff = 1; + last.sumMethod = 0; + last.inputTensor = void 0; +} +function canvas(width, height) { + let c; + if (env.browser) { + if (env.worker) { + if (typeof OffscreenCanvas === "undefined") + throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported"); + c = new OffscreenCanvas(width, height); + } else { + if (typeof document !== "undefined") { + c = document.createElement("canvas"); + c.width = width; + c.height = height; + } else if (typeof navigator !== "undefined" && navigator.product === "ReactNative") { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + else + throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed"); + } else { + throw new Error("canvas error: attempted to run in browser but DOM is not defined"); + } + } + } else { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + } + return c; +} +function copy(input, output) { + const outputCanvas = output || canvas(input.width, input.height); + const ctx = outputCanvas.getContext("2d"); + ctx.drawImage(input, 0, 0); + return outputCanvas; +} +async function process2(input, config3, getTensor = true) { + var _a, _b, _c; + if (!input) { + if (config3.debug) + log("input error: input is missing"); + return { tensor: null, canvas: null }; + } + if (!(input instanceof tfjs_esm_exports.Tensor) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { + throw new Error("input error: type not recognized"); + } + if (input instanceof tfjs_esm_exports.Tensor) { + let tensor7 = null; + if (input["isDisposedInternal"]) + throw new Error("input error: attempted to use tensor but it is disposed"); + if (!input.shape) + throw new Error("input error: attempted to use tensor without a shape"); + if (input.shape.length === 3) { + if (input.shape[2] === 3) { + tensor7 = tfjs_esm_exports.expandDims(input, 0); + } else if (input.shape[2] === 4) { + const rgb3 = tfjs_esm_exports.slice3d(input, [0, 0, 0], [-1, -1, 3]); + tensor7 = tfjs_esm_exports.expandDims(rgb3, 0); + tfjs_esm_exports.dispose(rgb3); + } + } else if (input.shape.length === 4) { + if (input.shape[3] === 3) { + tensor7 = tfjs_esm_exports.clone(input); + } else if (input.shape[3] === 4) { + tensor7 = tfjs_esm_exports.slice4d(input, [0, 0, 0, 0], [-1, -1, -1, 3]); + } + } + if (tensor7 == null || tensor7.shape.length !== 4 || tensor7.shape[0] !== 1 || tensor7.shape[3] !== 3) + throw new Error(`input error: attempted to use tensor with unrecognized shape: ${input.shape.toString()}`); + if (tensor7.dtype === "int32") { + const cast8 = tfjs_esm_exports.cast(tensor7, "float32"); + tfjs_esm_exports.dispose(tensor7); + tensor7 = cast8; + } + return { tensor: tensor7, canvas: config3.filter.return ? outCanvas : null }; + } + if (typeof input["readyState"] !== "undefined" && input.readyState <= 2) { + if (config3.debug) + log("input stream is not ready"); + return { tensor: null, canvas: inCanvas }; + } + const originalWidth = input["naturalWidth"] || input["videoWidth"] || input["width"] || input["shape"] && input["shape"][1] > 0; + const originalHeight = input["naturalHeight"] || input["videoHeight"] || input["height"] || input["shape"] && input["shape"][2] > 0; + if (!originalWidth || !originalHeight) { + if (config3.debug) + log("cannot determine input dimensions"); + return { tensor: null, canvas: inCanvas }; + } + let targetWidth = originalWidth; + let targetHeight = originalHeight; + if (targetWidth > maxSize) { + targetWidth = maxSize; + targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth); + } + if (targetHeight > maxSize) { + targetHeight = maxSize; + targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight); + } + if ((((_a = config3.filter) == null ? void 0 : _a.width) || 0) > 0) + targetWidth = config3.filter.width; + else if ((((_b = config3.filter) == null ? void 0 : _b.height) || 0) > 0) + targetWidth = originalWidth * ((config3.filter.height || 0) / originalHeight); + if ((config3.filter.height || 0) > 0) + targetHeight = config3.filter.height; + else if ((config3.filter.width || 0) > 0) + targetHeight = originalHeight * ((config3.filter.width || 0) / originalWidth); + if (!targetWidth || !targetHeight) + throw new Error("input error: cannot determine dimension"); + if (!inCanvas || inCanvas.width !== targetWidth || inCanvas.height !== targetHeight) + inCanvas = canvas(targetWidth, targetHeight); + const inCtx = inCanvas.getContext("2d"); + if (typeof ImageData !== "undefined" && input instanceof ImageData) { + inCtx.putImageData(input, 0, 0); + } else { + if (config3.filter.flip && typeof inCtx.translate !== "undefined") { + inCtx.translate(originalWidth, 0); + inCtx.scale(-1, 1); + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + inCtx.setTransform(1, 0, 0, 1, 0, 0); + } else { + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + } + } + if (!outCanvas || inCanvas.width !== outCanvas.width || inCanvas.height !== outCanvas.height) + outCanvas = canvas(inCanvas.width, inCanvas.height); + if (config3.filter.enabled && env.webgl.supported) { + if (!fx) + fx = env.browser ? new GLImageFilter() : null; + env.filter = !!fx; + if (!(fx == null ? void 0 : fx.add)) { + if (config3.debug) + log("input process error: cannot initialize filters"); + env.webgl.supported = false; + config3.filter.enabled = false; + copy(inCanvas, outCanvas); + } else { + fx.reset(); + if (config3.filter.brightness !== 0) + fx.add("brightness", config3.filter.brightness); + if (config3.filter.contrast !== 0) + fx.add("contrast", config3.filter.contrast); + if (config3.filter.sharpness !== 0) + fx.add("sharpen", config3.filter.sharpness); + if (config3.filter.blur !== 0) + fx.add("blur", config3.filter.blur); + if (config3.filter.saturation !== 0) + fx.add("saturation", config3.filter.saturation); + if (config3.filter.hue !== 0) + fx.add("hue", config3.filter.hue); + if (config3.filter.negative) + fx.add("negative"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.vintage) + fx.add("brownie"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.kodachrome) + fx.add("kodachrome"); + if (config3.filter.technicolor) + fx.add("technicolor"); + if (config3.filter.polaroid) + fx.add("polaroid"); + if (config3.filter.pixelate !== 0) + fx.add("pixelate", config3.filter.pixelate); + if (((_c = fx.get()) == null ? void 0 : _c.length) > 1) + outCanvas = fx.apply(inCanvas); + else + outCanvas = fx.draw(inCanvas); + } + } else { + copy(inCanvas, outCanvas); + if (fx) + fx = null; + env.filter = !!fx; + } + if (!getTensor) + return { tensor: null, canvas: outCanvas }; + if (!outCanvas) + throw new Error("canvas error: cannot create output"); + let pixels; + let depth = 3; + if (typeof ImageData !== "undefined" && input instanceof ImageData || input.data && input.width && input.height) { + if (env.browser && tfjs_esm_exports.browser) { + pixels = tfjs_esm_exports.browser ? tfjs_esm_exports.browser.fromPixels(input) : null; + } else { + depth = input.data.length / input.height / input.width; + const arr = new Uint8Array(input.data.buffer); + pixels = tfjs_esm_exports.tensor(arr, [input.height, input.width, depth], "int32"); + } + } else { + if (!tmpCanvas || outCanvas.width !== tmpCanvas.width || outCanvas.height !== tmpCanvas.height) + tmpCanvas = canvas(outCanvas.width, outCanvas.height); + if (tfjs_esm_exports.browser && env.browser) { + if (config3.backend === "webgl" || config3.backend === "humangl" || config3.backend === "webgpu") { + pixels = tfjs_esm_exports.browser.fromPixels(outCanvas); + } else { + tmpCanvas = copy(outCanvas); + pixels = tfjs_esm_exports.browser.fromPixels(tmpCanvas); + } + } else { + const tempCanvas = copy(outCanvas); + const tempCtx = tempCanvas.getContext("2d"); + const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight); + depth = tempData.data.length / targetWidth / targetHeight; + const arr = new Uint8Array(tempData.data.buffer); + pixels = tfjs_esm_exports.tensor(arr, [targetWidth, targetHeight, depth]); + } + } + if (depth === 4) { + const rgb3 = tfjs_esm_exports.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); + tfjs_esm_exports.dispose(pixels); + pixels = rgb3; + } + if (!pixels) + throw new Error("input error: cannot create tensor"); + const casted = tfjs_esm_exports.cast(pixels, "float32"); + const tensor6 = config3.filter.equalization ? await histogramEqualization(casted) : tfjs_esm_exports.expandDims(casted, 0); + tfjs_esm_exports.dispose([pixels, casted]); + if (config3.filter.autoBrightness) { + const max5 = tfjs_esm_exports.max(tensor6); + const maxVal = await max5.data(); + config3.filter.brightness = maxVal[0] > 1 ? 1 - maxVal[0] / 255 : 1 - maxVal[0]; + tfjs_esm_exports.dispose(max5); + } + return { tensor: tensor6, canvas: config3.filter.return ? outCanvas : null }; +} +async function skip(config3, input) { + let skipFrame = false; + if (config3.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) + return skipFrame; + if (!last.inputTensor) { + last.inputTensor = tfjs_esm_exports.clone(input); + } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { + tfjs_esm_exports.dispose(last.inputTensor); + last.inputTensor = tfjs_esm_exports.clone(input); + } else { + const t2 = {}; + t2.diff = tfjs_esm_exports.sub(input, last.inputTensor); + t2.squared = tfjs_esm_exports.mul(t2.diff, t2.diff); + t2.sum = tfjs_esm_exports.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; + tfjs_esm_exports.dispose([last.inputTensor, t2.diff, t2.squared, t2.sum]); + last.inputTensor = tfjs_esm_exports.clone(input); + skipFrame = diffRelative <= (config3.cacheSensitivity || 0); + } + return skipFrame; +} +async function compare(config3, input1, input2) { + const t2 = {}; + if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) { + if (!config3.debug) + log("invalid input tensor or tensor shapes do not match:", input1.shape, input2.shape); + return 0; + } + if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) { + if (!config3.debug) + log("input tensors must be of shape [1, height, width, 3]:", input1.shape, input2.shape); + return 0; + } + t2.input1 = tfjs_esm_exports.clone(input1); + t2.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? tfjs_esm_exports.image.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : tfjs_esm_exports.clone(input2); + t2.diff = tfjs_esm_exports.sub(t2.input1, t2.input2); + t2.squared = tfjs_esm_exports.mul(t2.diff, t2.diff); + t2.sum = tfjs_esm_exports.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3; + tfjs_esm_exports.dispose([t2.input1, t2.input2, t2.diff, t2.squared, t2.sum]); + return diffRelative; +} + +// src/util/env.ts +var _canvas, _image, _imageData; +var Env = class { + constructor() { + /** Running in Browser */ + __publicField(this, "browser"); + /** Running in NodeJS */ + __publicField(this, "node"); + /** Running in WebWorker thread */ + __publicField(this, "worker"); + /** Detected platform */ + __publicField(this, "platform", ""); + /** Detected agent */ + __publicField(this, "agent", ""); + /** List of supported backends */ + __publicField(this, "backends", []); + /** Has any work been performed so far */ + __publicField(this, "initial"); + /** Are image filters supported? */ + __publicField(this, "filter"); + /** TFJS instance details */ + __publicField(this, "tfjs"); + /** Is offscreenCanvas supported? */ + __publicField(this, "offscreen"); + /** Are performance counter instant values or additive */ + __publicField(this, "perfadd", false); + /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */ + __publicField(this, "tensorflow", { + version: void 0, + gpu: void 0 + }); + /** WASM detected capabilities */ + __publicField(this, "wasm", { + supported: void 0, + backend: void 0, + simd: void 0, + multithread: void 0 + }); + /** WebGL detected capabilities */ + __publicField(this, "webgl", { + supported: void 0, + backend: void 0, + version: void 0, + renderer: void 0, + shader: void 0, + vendor: void 0 + }); + /** WebGPU detected capabilities */ + __publicField(this, "webgpu", { + supported: void 0, + backend: void 0, + adapter: void 0 + }); + /** CPU info */ + __publicField(this, "cpu", { + model: void 0, + flags: [] + }); + /** List of supported kernels for current backend */ + __publicField(this, "kernels", []); + /** MonkeyPatch for Canvas/Image/ImageData */ + __privateAdd(this, _canvas, void 0); + __privateAdd(this, _image, void 0); + __privateAdd(this, _imageData, void 0); + this.browser = typeof navigator !== "undefined"; + this.node = typeof process !== "undefined" && typeof process.versions !== "undefined" && typeof process.versions.node !== "undefined"; + this.tfjs = { version: version7["tfjs-core"] }; + this.offscreen = typeof OffscreenCanvas !== "undefined"; + this.initial = true; + this.worker = this.browser && this.offscreen ? typeof WorkerGlobalScope !== "undefined" : void 0; + if (typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined") { + const agent = navigator.userAgent || ""; + const raw = agent.match(/\(([^()]+)\)/g); + if (raw == null ? void 0 : raw[0]) { + const platformMatch = raw[0].match(/\(([^()]+)\)/g); + this.platform = (platformMatch == null ? void 0 : platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, "") : ""; + this.agent = agent.replace(raw[0], ""); + if (this.platform[1]) + this.agent = this.agent.replace(raw[1], ""); + this.agent = this.agent.replace(/ /g, " "); + } + } else if (typeof process !== "undefined") { + this.platform = `${process.platform} ${process.arch}`; + this.agent = `NodeJS ${process.version}`; + } + } + get Canvas() { + return __privateGet(this, _canvas); + } + set Canvas(val) { + __privateSet(this, _canvas, val); + globalThis.Canvas = val; + } + get Image() { + return __privateGet(this, _image); + } + // @ts-ignore monkey-patch; + set Image(val) { + __privateSet(this, _image, val); + globalThis.Image = val; + } + get ImageData() { + return __privateGet(this, _imageData); + } + // @ts-ignore monkey-patch; + set ImageData(val) { + __privateSet(this, _imageData, val); + globalThis.ImageData = val; + } + /** update backend information */ + async updateBackend() { + this.backends = Object.keys(tfjs_esm_exports.engine().registryFactory); + try { + this.tensorflow = { + version: tfjs_esm_exports.backend()["binding"] ? tfjs_esm_exports.backend()["binding"].TF_Version : void 0, + gpu: tfjs_esm_exports.backend()["binding"] ? tfjs_esm_exports.backend()["binding"].isUsingGpuDevice() : void 0 + }; + } catch (e) { + } + this.wasm.supported = typeof WebAssembly !== "undefined"; + this.wasm.backend = this.backends.includes("wasm"); + if (this.wasm.supported && this.wasm.backend) { + this.wasm.simd = await tfjs_esm_exports.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + this.wasm.multithread = await tfjs_esm_exports.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + } + const c = canvas(100, 100); + const gl = c ? c.getContext("webgl2") : void 0; + this.webgl.supported = typeof gl !== "undefined"; + this.webgl.backend = this.backends.includes("webgl"); + if (this.webgl.supported && this.webgl.backend && gl) { + this.webgl.version = gl.getParameter(gl.VERSION); + this.webgl.vendor = gl.getParameter(gl.VENDOR); + this.webgl.renderer = gl.getParameter(gl.RENDERER); + this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION); + } + this.webgpu.supported = this.browser && typeof navigator !== "undefined" && typeof navigator.gpu !== "undefined"; + this.webgpu.backend = this.backends.includes("webgpu"); + try { + if (this.webgpu.supported) { + const adapter = await navigator.gpu.requestAdapter(); + this.webgpu.adapter = await (adapter == null ? void 0 : adapter.requestAdapterInfo()); + } + } catch (e) { + this.webgpu.supported = false; + } + try { + this.kernels = tfjs_esm_exports.getKernelsForBackend(tfjs_esm_exports.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); + } catch (e) { + } + } + /** update cpu information */ + updateCPU() { + const cpu = { model: "", flags: [] }; + if (this.node && this.platform.startsWith("linux")) { + } + if (!this.cpu) + Object.defineProperty(this, "cpu", { value: cpu }); + else + this.cpu = cpu; + } +}; +_canvas = new WeakMap(); +_image = new WeakMap(); +_imageData = new WeakMap(); +var env = new Env(); + +// src/util/webcam.ts +var WebCam = class { + constructor() { + // eslint-disable-line @typescript-eslint/no-extraneous-class + /** current webcam configuration */ + __publicField(this, "config"); + /** instance of dom element associated with webcam stream */ + __publicField(this, "element"); + /** active webcam stream */ + __publicField(this, "stream"); + /** enumerated video devices */ + __publicField(this, "devices", []); + __publicField(this, "enumerate", async () => { + try { + const devices = await navigator.mediaDevices.enumerateDevices(); + this.devices = devices.filter((device) => device.kind === "videoinput"); + } catch (e) { + this.devices = []; + } + return this.devices; + }); + /** start method initializizes webcam stream and associates it with a dom video element */ + __publicField(this, "start", async (webcamConfig) => { + var _a, _b; + if (webcamConfig == null ? void 0 : webcamConfig.debug) + this.config.debug = webcamConfig == null ? void 0 : webcamConfig.debug; + if (webcamConfig == null ? void 0 : webcamConfig.crop) + this.config.crop = webcamConfig == null ? void 0 : webcamConfig.crop; + if (webcamConfig == null ? void 0 : webcamConfig.mode) + this.config.mode = webcamConfig == null ? void 0 : webcamConfig.mode; + if (webcamConfig == null ? void 0 : webcamConfig.width) + this.config.width = webcamConfig == null ? void 0 : webcamConfig.width; + if (webcamConfig == null ? void 0 : webcamConfig.height) + this.config.height = webcamConfig == null ? void 0 : webcamConfig.height; + if (webcamConfig == null ? void 0 : webcamConfig.id) + this.config.id = webcamConfig == null ? void 0 : webcamConfig.id; + if (webcamConfig == null ? void 0 : webcamConfig.element) { + if (typeof webcamConfig.element === "string") { + const el = document.getElementById(webcamConfig.element); + if (el && el instanceof HTMLVideoElement) { + this.element = el; + } else { + if (this.config.debug) + log("webcam", "cannot get dom element", webcamConfig.element); + return; + } + } else if (webcamConfig.element instanceof HTMLVideoElement) { + this.element = webcamConfig.element; + } else { + if (this.config.debug) + log("webcam", "unknown dom element", webcamConfig.element); + return; + } + } else { + this.element = document.createElement("video"); + } + const requestedConstraints = { + audio: false, + video: { + facingMode: this.config.mode === "front" ? "user" : "environment", + // @ts-ignore // resizeMode is still not defined in tslib + resizeMode: this.config.crop ? "crop-and-scale" : "none" + } + }; + if (((_a = this.config) == null ? void 0 : _a.width) > 0) + requestedConstraints.video.width = { ideal: this.config.width }; + if (((_b = this.config) == null ? void 0 : _b.height) > 0) + requestedConstraints.video.height = { ideal: this.config.height }; + if (this.config.id) + requestedConstraints.video.deviceId = this.config.id; + this.element.addEventListener("play", () => { + if (this.config.debug) + log("webcam", "play"); + }); + this.element.addEventListener("pause", () => { + if (this.config.debug) + log("webcam", "pause"); + }); + this.element.addEventListener("click", async () => { + if (!this.element || !this.stream) + return; + if (this.element.paused) + await this.element.play(); + else + this.element.pause(); + }); + if (!(navigator == null ? void 0 : navigator.mediaDevices)) { + if (this.config.debug) + log("webcam", "no devices"); + return; + } + try { + this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); + } catch (err) { + log("webcam", err); + return; + } + if (!this.stream) { + if (this.config.debug) + log("webcam", "no stream"); + return; + } + this.element.srcObject = this.stream; + const ready3 = new Promise((resolve) => { + if (!this.element) + resolve(false); + else + this.element.onloadeddata = () => resolve(true); + }); + await ready3; + await this.element.play(); + if (this.config.debug) { + log("webcam", { + width: this.width, + height: this.height, + label: this.label, + stream: this.stream, + track: this.track, + settings: this.settings, + constraints: this.constraints, + capabilities: this.capabilities + }); + } + }); + /** pause webcam video method */ + __publicField(this, "pause", () => { + if (this.element) + this.element.pause(); + }); + /** play webcam video method */ + __publicField(this, "play", async () => { + if (this.element) + await this.element.play(); + }); + /** stop method stops active webcam stream track and disconnects webcam */ + __publicField(this, "stop", () => { + if (this.config.debug) + log("webcam", "stop"); + if (this.track) + this.track.stop(); + }); + this.config = { + element: void 0, + debug: true, + mode: "front", + crop: false, + width: 0, + height: 0 + }; + } + /** get active webcam stream track */ + get track() { + if (!this.stream) + return void 0; + return this.stream.getVideoTracks()[0]; + } + /** get webcam capabilities */ + get capabilities() { + if (!this.track) + return void 0; + return this.track.getCapabilities ? this.track.getCapabilities() : void 0; + } + /** get webcam constraints */ + get constraints() { + if (!this.track) + return void 0; + return this.track.getConstraints ? this.track.getConstraints() : void 0; + } + /** get webcam settings */ + get settings() { + if (!this.stream) + return void 0; + const track = this.stream.getVideoTracks()[0]; + return track.getSettings ? track.getSettings() : void 0; + } + /** get webcam label */ + get label() { + if (!this.track) + return ""; + return this.track.label; + } + /** is webcam paused */ + get paused() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.paused) || false; + } + /** webcam current width */ + get width() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoWidth) || 0; + } + /** webcam current height */ + get height() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoHeight) || 0; + } +}; + +// models/models.json +var models_exports = {}; +__export(models_exports, { + "affectnet-mobilenet": () => affectnet_mobilenet, + age: () => age, + "anti-spoofing": () => anti_spoofing, + antispoof: () => antispoof, + blazeface: () => blazeface, + "blazeface-back": () => blazeface_back, + "blazeface-front": () => blazeface_front, + "blazepose-detector": () => blazepose_detector, + "blazepose-full": () => blazepose_full, + "blazepose-heavy": () => blazepose_heavy, + "blazepose-lite": () => blazepose_lite, + centernet: () => centernet, + default: () => models_default, + efficientpose: () => efficientpose, + "efficientpose-i-lite": () => efficientpose_i_lite, + "efficientpose-ii-lite": () => efficientpose_ii_lite, + "efficientpose-iv": () => efficientpose_iv, + emotion: () => emotion, + faceboxes: () => faceboxes, + facemesh: () => facemesh, + "facemesh-attention": () => facemesh_attention, + "facemesh-attention-pinto": () => facemesh_attention_pinto, + "facemesh-detection-full": () => facemesh_detection_full, + "facemesh-detection-short": () => facemesh_detection_short, + faceres: () => faceres, + "faceres-deep": () => faceres_deep, + gear: () => gear, + "gear-e1": () => gear_e1, + "gear-e2": () => gear_e2, + gender: () => gender, + "gender-ssrnet-imdb": () => gender_ssrnet_imdb, + handdetect: () => handdetect, + "handlandmark-full": () => handlandmark_full, + "handlandmark-lite": () => handlandmark_lite, + "handlandmark-sparse": () => handlandmark_sparse, + handskeleton: () => handskeleton, + handtrack: () => handtrack, + "insightface-efficientnet-b0": () => insightface_efficientnet_b0, + "insightface-ghostnet-strides1": () => insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": () => insightface_ghostnet_strides2, + "insightface-mobilenet-emore": () => insightface_mobilenet_emore, + "insightface-mobilenet-swish": () => insightface_mobilenet_swish, + iris: () => iris, + liveness: () => liveness, + meet: () => meet, + mobileface: () => mobileface, + mobilefacenet: () => mobilefacenet, + models: () => models, + "movenet-lightning": () => movenet_lightning, + "movenet-multipose": () => movenet_multipose, + "movenet-thunder": () => movenet_thunder, + nanodet: () => nanodet, + "nanodet-e": () => nanodet_e, + "nanodet-g": () => nanodet_g, + "nanodet-m": () => nanodet_m, + "nanodet-t": () => nanodet_t, + posenet: () => posenet, + rvm: () => rvm, + selfie: () => selfie +}); +var antispoof = 853098; +var blazeface = 538928; +var centernet = 4030290; +var emotion = 820516; +var facemesh = 1477958; +var faceres = 6978814; +var handlandmark_lite = 2023432; +var handtrack = 2964837; +var iris = 2599092; +var liveness = 592976; +var models = 0; +var movenet_lightning = 4650216; +var affectnet_mobilenet = 6920630; +var age = 161240; +var blazeface_back = 538928; +var blazeface_front = 402048; +var blazepose_detector = 5928856; +var blazepose_full = 6339202; +var blazepose_heavy = 27502466; +var blazepose_lite = 2726402; +var efficientpose = 5651240; +var faceboxes = 2013002; +var facemesh_attention_pinto = 2387598; +var facemesh_attention = 2382414; +var facemesh_detection_full = 1026192; +var facemesh_detection_short = 201268; +var faceres_deep = 13957620; +var gear_e1 = 112438; +var gear_e2 = 112438; +var gear = 1498916; +var gender_ssrnet_imdb = 161236; +var gender = 201808; +var handdetect = 3515612; +var handlandmark_full = 5431368; +var handlandmark_sparse = 5286322; +var handskeleton = 5502280; +var meet = 372228; +var mobileface = 2183192; +var mobilefacenet = 5171976; +var movenet_multipose = 9448838; +var movenet_thunder = 12477112; +var nanodet = 7574558; +var posenet = 5032780; +var rvm = 3739355; +var selfie = 212886; +var anti_spoofing = 853098; +var efficientpose_i_lite = 2269064; +var efficientpose_ii_lite = 5651240; +var efficientpose_iv = 25643252; +var insightface_efficientnet_b0 = 13013224; +var insightface_ghostnet_strides1 = 8093408; +var insightface_ghostnet_strides2 = 8049584; +var insightface_mobilenet_emore = 6938536; +var insightface_mobilenet_swish = 12168584; +var nanodet_e = 12319156; +var nanodet_g = 7574558; +var nanodet_m = 1887474; +var nanodet_t = 5294216; +var models_default = { + antispoof, + blazeface, + centernet, + emotion, + facemesh, + faceres, + "handlandmark-lite": handlandmark_lite, + handtrack, + iris, + liveness, + models, + "movenet-lightning": movenet_lightning, + "affectnet-mobilenet": affectnet_mobilenet, + age, + "blazeface-back": blazeface_back, + "blazeface-front": blazeface_front, + "blazepose-detector": blazepose_detector, + "blazepose-full": blazepose_full, + "blazepose-heavy": blazepose_heavy, + "blazepose-lite": blazepose_lite, + efficientpose, + faceboxes, + "facemesh-attention-pinto": facemesh_attention_pinto, + "facemesh-attention": facemesh_attention, + "facemesh-detection-full": facemesh_detection_full, + "facemesh-detection-short": facemesh_detection_short, + "faceres-deep": faceres_deep, + "gear-e1": gear_e1, + "gear-e2": gear_e2, + gear, + "gender-ssrnet-imdb": gender_ssrnet_imdb, + gender, + handdetect, + "handlandmark-full": handlandmark_full, + "handlandmark-sparse": handlandmark_sparse, + handskeleton, + meet, + mobileface, + mobilefacenet, + "movenet-multipose": movenet_multipose, + "movenet-thunder": movenet_thunder, + nanodet, + posenet, + rvm, + selfie, + "anti-spoofing": anti_spoofing, + "efficientpose-i-lite": efficientpose_i_lite, + "efficientpose-ii-lite": efficientpose_ii_lite, + "efficientpose-iv": efficientpose_iv, + "insightface-efficientnet-b0": insightface_efficientnet_b0, + "insightface-ghostnet-strides1": insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": insightface_ghostnet_strides2, + "insightface-mobilenet-emore": insightface_mobilenet_emore, + "insightface-mobilenet-swish": insightface_mobilenet_swish, + "nanodet-e": nanodet_e, + "nanodet-g": nanodet_g, + "nanodet-m": nanodet_m, + "nanodet-t": nanodet_t +}; + +// src/tfjs/load.ts +var options = { + cacheModels: true, + cacheSupported: true, + verbose: true, + debug: false, + modelBasePath: "" +}; +var modelStats = {}; +async function httpHandler(url, init4) { + if (options.debug) + log("load model fetch:", url, init4); + return fetch(url, init4); +} +function setModelLoadOptions(config3) { + options.cacheModels = config3.cacheModels; + options.verbose = config3.debug; + options.modelBasePath = config3.modelBasePath; +} +async function loadModel(modelPath) { + var _a, _b, _c, _d; + let modelUrl = join(options.modelBasePath, modelPath || ""); + if (!modelUrl.toLowerCase().endsWith(".json")) + modelUrl += ".json"; + const modelPathSegments = modelUrl.includes("/") ? modelUrl.split("/") : modelUrl.split("\\"); + const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace(".json", ""); + const cachedModelName = "indexeddb://" + shortModelName; + modelStats[shortModelName] = { + name: shortModelName, + sizeFromManifest: 0, + sizeLoadedWeights: 0, + sizeDesired: models_exports[shortModelName], + inCache: false, + url: "" + }; + options.cacheSupported = typeof indexedDB !== "undefined"; + let cachedModels = {}; + try { + cachedModels = options.cacheSupported && options.cacheModels ? await tfjs_esm_exports.io.listModels() : {}; + } catch (e) { + options.cacheSupported = false; + } + modelStats[shortModelName].inCache = options.cacheSupported && options.cacheModels && Object.keys(cachedModels).includes(cachedModelName); + modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl; + const tfLoadOptions = typeof fetch === "undefined" ? {} : { fetchFunc: (url, init4) => httpHandler(url, init4) }; + let model23 = new tfjs_esm_exports.GraphModel(modelStats[shortModelName].url, tfLoadOptions); + let loaded = false; + try { + model23.findIOHandler(); + if (options.debug) + log("model load handler:", model23["handler"]); + } catch (err) { + log("error finding model i/o handler:", modelUrl, err); + } + try { + const artifacts = await ((_a = model23.handler) == null ? void 0 : _a.load()) || null; + modelStats[shortModelName].sizeFromManifest = ((_b = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b.byteLength) || 0; + if (artifacts) + model23.loadSync(artifacts); + else + model23 = await tfjs_esm_exports.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); + modelStats[shortModelName].sizeLoadedWeights = ((_d = (_c = model23.artifacts) == null ? void 0 : _c.weightData) == null ? void 0 : _d.byteLength) || 0; + if (options.verbose) + log("load:", { model: shortModelName, url: model23["modelUrl"], bytes: modelStats[shortModelName].sizeLoadedWeights }); + loaded = true; + } catch (err) { + log("error loading model:", modelUrl, err); + } + if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { + try { + const saveResult = await model23.save(cachedModelName); + if (options.debug) + log("model saved:", cachedModelName, saveResult); + } catch (err) { + log("error saving model:", modelUrl, err); + } + } + return model23; +} + +// package.json +var version8 = "3.0.6"; + +// src/tfjs/humangl.ts +var config2 = { + name: "humangl", + priority: 999, + canvas: null, + gl: null, + extensions: [], + webGLattr: { + // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2 + alpha: false, + antialias: false, + premultipliedAlpha: false, + preserveDrawingBuffer: false, + depth: false, + stencil: false, + failIfMajorPerformanceCaveat: false, + // default=true + desynchronized: true + // default=undefined + } +}; +function extensions() { + const gl = config2.gl; + if (!gl) + return; + config2.extensions = gl.getSupportedExtensions(); +} +function register(instance) { + var _a; + if (instance.config.backend !== "humangl") + return; + if (config2.name in tfjs_esm_exports.engine().registry && !((_a = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a.getParameter(config2.gl.VERSION))) { + log("humangl error: backend invalid context"); + instance.models.reset(); + } + if (!tfjs_esm_exports.findBackend(config2.name)) { + try { + config2.canvas = canvas(100, 100); + } catch (err) { + log("humangl error: cannot create canvas:", err); + return; + } + try { + config2.gl = config2.canvas.getContext("webgl2", config2.webGLattr); + if (!config2.gl) { + log("humangl error: cannot get webgl context"); + return; + } + const glv2 = config2.gl.getParameter(config2.gl.VERSION).includes("2.0"); + if (!glv2) { + log("backend override: using fallback webgl backend as webgl 2.0 is not detected"); + instance.config.backend = "webgl"; + return; + } + if (config2.canvas) { + config2.canvas.addEventListener("webglcontextlost", (e) => { + log("humangl error:", e.type); + log("possible browser memory leak using webgl or conflict with multiple backend registrations"); + instance.emit("error"); + throw new Error("backend error: webgl context lost"); + }); + config2.canvas.addEventListener("webglcontextrestored", (e) => { + log("humangl error: context restored:", e); + }); + config2.canvas.addEventListener("webglcontextcreationerror", (e) => { + log("humangl error: context create:", e); + }); + } + } catch (err) { + log("humangl error: cannot get webgl context:", err); + return; + } + try { + tfjs_esm_exports.setWebGLContext(2, config2.gl); + } catch (err) { + log("humangl error: cannot set webgl context:", err); + return; + } + try { + const ctx = new tfjs_esm_exports.GPGPUContext(config2.gl); + tfjs_esm_exports.registerBackend(config2.name, () => new tfjs_esm_exports.MathBackendWebGL(ctx), config2.priority); + } catch (err) { + log("humangl error: cannot register webgl backend:", err); + return; + } + try { + const kernels = tfjs_esm_exports.getKernelsForBackend("webgl"); + kernels.forEach((kernelConfig) => { + const newKernelConfig = { ...kernelConfig, backendName: config2.name }; + tfjs_esm_exports.registerKernel(newKernelConfig); + }); + } catch (err) { + log("humangl error: cannot update webgl backend registration:", err); + return; + } + try { + if (tfjs_esm_exports.env().flagRegistry.WEBGL_VERSION) + tfjs_esm_exports.env().set("WEBGL_VERSION", 2); + } catch (err) { + log("humangl error: cannot set WebGL backend flags:", err); + return; + } + extensions(); + const backend4 = tfjs_esm_exports.backend(); + const current = typeof backend4["gpgpu"] !== "undefined" ? backend4["getGPGPUContext"]().gl : null; + if (current) { + if (instance.config.debug) + log("humangl backend registered:", { webgl: current.getParameter(current.VERSION), renderer: current.getParameter(current.RENDERER) }); + } else { + log("humangl error: no current gl context:", current, config2.gl); + } + } +} + +// src/tfjs/constants.ts +var constants = { + tf255: 255, + tf1: 1, + tf2: 2, + tf05: 0.5, + tf127: 127.5, + rgb: [0.2989, 0.587, 0.114] +}; +function init() { + constants.tf255 = tfjs_esm_exports.scalar(255, "float32"); + constants.tf1 = tfjs_esm_exports.scalar(1, "float32"); + constants.tf2 = tfjs_esm_exports.scalar(2, "float32"); + constants.tf05 = tfjs_esm_exports.scalar(0.5, "float32"); + constants.tf127 = tfjs_esm_exports.scalar(127.5, "float32"); + constants.rgb = tfjs_esm_exports.tensor1d([0.2989, 0.587, 0.114], "float32"); +} + +// src/tfjs/backend.ts +async function getBestBackend() { + var _a; + await env.updateBackend(); + if ((_a = env.tensorflow) == null ? void 0 : _a.version) + return "tensorflow"; + if (env.webgpu.supported && env.webgpu.backend) + return "webgpu"; + if (env.webgl.supported && env.webgl.backend) + return "webgl"; + if (env.wasm.supported && env.wasm.backend) + return "wasm"; + return "cpu"; +} +function registerCustomOps(config3) { + const newKernels = []; + if (!env.kernels.includes("mod")) { + const kernelMod = { + kernelName: "Mod", + backendName: tfjs_esm_exports.getBackend(), + kernelFunc: (op) => tfjs_esm_exports.tidy(() => tfjs_esm_exports.sub(op.inputs.a, tfjs_esm_exports.mul(tfjs_esm_exports.div(op.inputs.a, op.inputs.b), op.inputs.b))) + }; + tfjs_esm_exports.registerKernel(kernelMod); + env.kernels.push("mod"); + newKernels.push("mod"); + } + if (!env.kernels.includes("floormod")) { + const kernelFloorMod = { + kernelName: "FloorMod", + backendName: tfjs_esm_exports.getBackend(), + kernelFunc: (op) => tfjs_esm_exports.tidy(() => tfjs_esm_exports.add(tfjs_esm_exports.mul(tfjs_esm_exports.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tfjs_esm_exports.mod(op.inputs.a, op.inputs.b))) + }; + tfjs_esm_exports.registerKernel(kernelFloorMod); + env.kernels.push("floormod"); + newKernels.push("floormod"); + } + if (!env.kernels.includes("rotatewithoffset") && config3.softwareKernels) { + const kernelRotateWithOffset = { + kernelName: "RotateWithOffset", + backendName: tfjs_esm_exports.getBackend(), + kernelFunc: (op) => tfjs_esm_exports.tidy(() => { + const backend4 = tfjs_esm_exports.getBackend(); + tfjs_esm_exports.setBackend("cpu"); + const t2 = tfjs_esm_exports.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center); + tfjs_esm_exports.setBackend(backend4); + return t2; + }) + }; + tfjs_esm_exports.registerKernel(kernelRotateWithOffset); + env.kernels.push("rotatewithoffset"); + newKernels.push("rotatewithoffset"); + } + if (newKernels.length > 0 && config3.debug) + log("registered kernels:", newKernels); +} +var defaultFlags = {}; +async function check(instance, force = false) { + var _a, _b; + instance.state = "backend"; + if (((_a = instance.config.backend) == null ? void 0 : _a.length) === 0) + instance.config.backend = await getBestBackend(); + if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && tfjs_esm_exports.getBackend() !== instance.config.backend) { + const timeStamp = now(); + if (instance.config.backend && instance.config.backend.length > 0) { + if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) { + if (instance.config.debug) + log("running inside web worker"); + } + if (typeof navigator !== "undefined" && ((_b = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b.toLowerCase().includes("electron"))) { + if (instance.config.debug) + log("running inside electron"); + } + let available = Object.keys(tfjs_esm_exports.engine().registryFactory); + if (instance.config.backend === "humangl" && !available.includes("humangl")) { + register(instance); + available = Object.keys(tfjs_esm_exports.engine().registryFactory); + } + if (instance.config.debug) + log("available backends:", available); + if (env.browser && !env.node && instance.config.backend === "tensorflow" && available.includes("webgl")) { + if (instance.config.debug) + log("override: backend set to tensorflow while running in browser"); + instance.config.backend = "webgl"; + } + if (env.node && !env.browser && (instance.config.backend === "webgl" || instance.config.backend === "humangl") && available.includes("tensorflow")) { + if (instance.config.debug) + log(`override: backend set to ${instance.config.backend} while running in nodejs`); + instance.config.backend = "tensorflow"; + } + if (env.browser && instance.config.backend === "webgpu") { + if (typeof navigator === "undefined" || typeof navigator.gpu === "undefined") { + log("override: backend set to webgpu but browser does not support webgpu"); + instance.config.backend = "webgl"; + } else { + const adapter = await navigator.gpu.requestAdapter(); + if (instance.config.debug) + log("enumerated webgpu adapter:", adapter); + if (!adapter) { + log("override: backend set to webgpu but browser reports no available gpu"); + instance.config.backend = "webgl"; + } else { + const adapterInfo = "requestAdapterInfo" in adapter ? await adapter.requestAdapterInfo() : void 0; + log("webgpu adapter info:", adapterInfo); + } + } + } + if (!available.includes(instance.config.backend)) { + log(`error: backend ${instance.config.backend} not found in registry`); + instance.config.backend = env.node ? "tensorflow" : "webgl"; + if (instance.config.debug) + log(`override: setting backend ${instance.config.backend}`); + } + if (instance.config.debug) + log("setting backend:", [instance.config.backend]); + if (instance.config.backend === "wasm") { + if (tfjs_esm_exports.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) + tfjs_esm_exports.env().set("CANVAS2D_WILL_READ_FREQUENTLY", true); + if (instance.config.debug) + log("wasm path:", instance.config.wasmPath); + if (typeof tfjs_esm_exports.setWasmPaths !== "undefined") + tfjs_esm_exports.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch); + else + throw new Error("backend error: attempting to use wasm backend but wasm path is not set"); + let mt = false; + let simd = false; + try { + mt = await tfjs_esm_exports.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + simd = await tfjs_esm_exports.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + if (instance.config.debug) + log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`); + if (instance.config.debug && !simd) + log("warning: wasm simd support is not enabled"); + } catch (e) { + log("wasm detection failed"); + } + } + try { + await tfjs_esm_exports.setBackend(instance.config.backend); + await tfjs_esm_exports.ready(); + } catch (err) { + log("error: cannot set backend:", instance.config.backend, err); + return false; + } + if (instance.config.debug) + defaultFlags = JSON.parse(JSON.stringify(tfjs_esm_exports.env().flags)); + } + if (tfjs_esm_exports.getBackend() === "humangl" || tfjs_esm_exports.getBackend() === "webgl") { + if (tfjs_esm_exports.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tfjs_esm_exports.env().set("WEBGL_USE_SHAPES_UNIFORMS", true); + if (tfjs_esm_exports.env().flagRegistry.WEBGL_EXP_CONV) + tfjs_esm_exports.env().set("WEBGL_EXP_CONV", true); + if (instance.config.debug && typeof instance.config.deallocate !== "undefined" && instance.config.deallocate) { + log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true); + tfjs_esm_exports.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); + } + } + if (tfjs_esm_exports.getBackend() === "webgpu") { + } + if (instance.config.debug) { + const newFlags = tfjs_esm_exports.env().flags; + const updatedFlags = {}; + for (const key of Object.keys(newFlags)) { + if (defaultFlags[key] === newFlags[key]) + continue; + updatedFlags[key] = newFlags[key]; + } + if (instance.config.debug && Object.keys(updatedFlags).length > 0) + log("backend:", tfjs_esm_exports.getBackend(), "flags:", updatedFlags); + } + if (instance.config.flags && Object.keys(instance.config.flags).length > 0) { + if (instance.config.debug) + log("flags:", instance.config["flags"]); + for (const [key, val] of Object.entries(instance.config.flags)) { + tfjs_esm_exports.env().set(key, val); + } + } + tfjs_esm_exports.enableProdMode(); + init(); + instance.performance.initBackend = Math.trunc(now() - timeStamp); + instance.config.backend = tfjs_esm_exports.getBackend(); + await env.updateBackend(); + registerCustomOps(instance.config); + } + return true; +} +function fakeOps(kernelNames, config3) { + for (const kernelName of kernelNames) { + const kernelConfig = { + kernelName, + backendName: config3.backend, + kernelFunc: (param) => { + var _a; + if (config3.debug) + log("kernelFunc", kernelName, config3.backend, param); + return (_a = param == null ? void 0 : param.inputs) == null ? void 0 : _a.info; + } + // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + }; + tfjs_esm_exports.registerKernel(kernelConfig); + } + env.kernels = tfjs_esm_exports.getKernelsForBackend(tfjs_esm_exports.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); +} + +// src/draw/draw.ts +var draw_exports = {}; +__export(draw_exports, { + all: () => all, + body: () => body, + canvas: () => canvas2, + face: () => face, + gesture: () => gesture, + hand: () => hand, + init: () => init2, + object: () => object, + options: () => options2, + person: () => person +}); + +// src/draw/primitives.ts +var getCanvasContext = (input) => { + if (!input) + log("draw error: invalid canvas"); + else if (!input.getContext) + log("draw error: canvas context not defined"); + else { + const ctx = input.getContext("2d"); + if (!ctx) + log("draw error: cannot get canvas context"); + else + return ctx; + } + return null; +}; +var rad2deg = (theta) => Math.round(theta * 180 / Math.PI); +var replace = (str, source, target) => str.replace(source, typeof target === "number" ? target.toFixed(1) : target); +var colorDepth = (z, opt) => { + if (!opt.useDepth || typeof z === "undefined") + return opt.color; + const rgb3 = Uint8ClampedArray.from([127 + 2 * z, 127 - 2 * z, 255]); + return `rgba(${rgb3[0]}, ${rgb3[1]}, ${rgb3[2]}, ${opt.alpha})`; +}; +function labels(ctx, str, startX, startY, localOptions2) { + const line = str.replace(/\[.*\]/g, "").split("\n").map((l) => l.trim()); + const x = Math.max(0, startX); + for (let i = line.length - 1; i >= 0; i--) { + const y = i * localOptions2.lineHeight + startY; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(line[i], x + 5, y + 16); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(line[i], x + 4, y + 15); + } +} +function point(ctx, x, y, z, localOptions2) { + ctx.fillStyle = colorDepth(z, localOptions2); + ctx.beginPath(); + ctx.arc(x, y, localOptions2.pointSize, 0, 2 * Math.PI); + ctx.fill(); +} +function rect(ctx, x, y, width, height, localOptions2) { + ctx.beginPath(); + ctx.lineWidth = localOptions2.lineWidth; + if (localOptions2.useCurves) { + const cx = (x + x + width) / 2; + const cy = (y + y + height) / 2; + ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI); + } else { + ctx.moveTo(x + localOptions2.roundRect, y); + ctx.lineTo(x + width - localOptions2.roundRect, y); + ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions2.roundRect); + ctx.lineTo(x + width, y + height - localOptions2.roundRect); + ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions2.roundRect, y + height); + ctx.lineTo(x + localOptions2.roundRect, y + height); + ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions2.roundRect); + ctx.lineTo(x, y + localOptions2.roundRect); + ctx.quadraticCurveTo(x, y, x + localOptions2.roundRect, y); + ctx.closePath(); + } + ctx.stroke(); +} +function lines(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.beginPath(); + ctx.moveTo(points[0][0], points[0][1]); + for (const pt of points) { + ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions2); + ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1])); + } + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function curves(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.lineWidth = localOptions2.lineWidth; + if (!localOptions2.useCurves || points.length <= 2) { + lines(ctx, points, localOptions2); + return; + } + ctx.moveTo(points[0][0], points[0][1]); + for (let i = 0; i < points.length - 2; i++) { + const xc = (points[i][0] + points[i + 1][0]) / 2; + const yc = (points[i][1] + points[i + 1][1]) / 2; + ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc); + } + ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]); + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function arrow(ctx, from, to, radius = 5) { + let angle; + let x; + let y; + ctx.beginPath(); + ctx.moveTo(from[0], from[1]); + ctx.lineTo(to[0], to[1]); + angle = Math.atan2(to[1] - from[1], to[0] - from[0]); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.moveTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + ctx.closePath(); + ctx.stroke(); + ctx.fill(); +} + +// src/draw/options.ts +var options2 = { + color: "rgba(173, 216, 230, 0.6)", + // 'lightblue' with light alpha channel + labelColor: "rgba(173, 216, 230, 1)", + // 'lightblue' with dark alpha channel + shadowColor: "black", + alpha: 0.5, + font: 'small-caps 16px "Segoe UI"', + lineHeight: 18, + lineWidth: 4, + pointSize: 2, + roundRect: 8, + drawPoints: false, + drawLabels: true, + drawBoxes: true, + drawAttention: true, + drawGestures: true, + drawPolygons: true, + drawGaze: true, + fillPolygons: false, + useDepth: true, + useCurves: false, + faceLabels: "", + bodyLabels: "", + bodyPartLabels: "", + objectLabels: "", + handLabels: "", + fingerLabels: "", + gestureLabels: "" +}; + +// src/face/facemeshcoords.ts +var meshAnnotations = { + silhouette: [ + 10, + 338, + 297, + 332, + 284, + 251, + 389, + 356, + 454, + 323, + 361, + 288, + 397, + 365, + 379, + 378, + 400, + 377, + 152, + 148, + 176, + 149, + 150, + 136, + 172, + 58, + 132, + 93, + 234, + 127, + 162, + 21, + 54, + 103, + 67, + 109 + ], + // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11 + // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10 + // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11 + // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11 + lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409], + lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291], + lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415], + lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], + lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306], + lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408], + lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292], + lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407], + rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], + // 7 + rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], + // 9 + rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], + // 7 + rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], + // 9 + rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], + // 7 + rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], + // 9 + rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], + // 9 + rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], + // 8 + rightEyebrowLower: [35, 124, 46, 53, 52, 65], + // 6 + rightEyeIris: [473, 474, 475, 476, 477], + // 5 + leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398], + leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362], + leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414], + leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463], + leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413], + leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464], + leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465], + leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417], + leftEyebrowLower: [265, 353, 276, 283, 282, 295], + leftEyeIris: [468, 469, 470, 471, 472], + midwayBetweenEyes: [168], + noseTip: [1], + noseBottom: [2], + noseRightCorner: [98], + noseLeftCorner: [327], + rightCheek: [205], + leftCheek: [425] +}; +var meshLandmarks = { + count: 468, + mouth: 13, + symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]] +}; +var blazeFaceLandmarks = { + leftEye: 0, + rightEye: 1, + nose: 2, + mouth: 3, + leftEar: 4, + rightEar: 5, + symmetryLine: [3, 2] +}; +var irisIndices = [ + // A mapping from facemesh model keypoints to iris model keypoints. + { key: "EyeUpper0", indices: [9, 10, 11, 12, 13, 14, 15] }, + // 7 x 3d + { key: "EyeUpper1", indices: [25, 26, 27, 28, 29, 30, 31] }, + // 7 x 3d + { key: "EyeUpper2", indices: [41, 42, 43, 44, 45, 46, 47] }, + // 7 x 3d + { key: "EyeLower0", indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, + // 7 x 3d + { key: "EyeLower1", indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, + // 9 x 3d + { key: "EyeLower2", indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, + // 9 x 3d + { key: "EyeLower3", indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, + // 9 x 3d + { key: "EyebrowUpper", indices: [63, 64, 65, 66, 67, 68, 69, 70] }, + // 8 x 3d + { key: "EyebrowLower", indices: [48, 49, 50, 51, 52, 53] } + // 6 x 3d +]; +var UV468 = [ + [0.499976992607117, 0.652534008026123], + [0.500025987625122, 0.547487020492554], + [0.499974012374878, 0.602371990680695], + [0.482113003730774, 0.471979022026062], + [0.500150978565216, 0.527155995368958], + [0.499909996986389, 0.498252987861633], + [0.499523013830185, 0.40106201171875], + [0.289712011814117, 0.380764007568359], + [0.499954998493195, 0.312398016452789], + [0.499987006187439, 0.269918978214264], + [0.500023007392883, 0.107050001621246], + [0.500023007392883, 0.666234016418457], + [0.5000159740448, 0.679224014282227], + [0.500023007392883, 0.692348003387451], + [0.499976992607117, 0.695277988910675], + [0.499976992607117, 0.70593398809433], + [0.499976992607117, 0.719385027885437], + [0.499976992607117, 0.737019002437592], + [0.499967992305756, 0.781370997428894], + [0.499816000461578, 0.562981009483337], + [0.473773002624512, 0.573909997940063], + [0.104906998574734, 0.254140973091125], + [0.365929991006851, 0.409575998783112], + [0.338757991790771, 0.41302502155304], + [0.311120003461838, 0.409460008144379], + [0.274657994508743, 0.389131009578705], + [0.393361985683441, 0.403706014156342], + [0.345234006643295, 0.344011008739471], + [0.370094001293182, 0.346076011657715], + [0.319321990013123, 0.347265005111694], + [0.297903001308441, 0.353591024875641], + [0.24779200553894, 0.410809993743896], + [0.396889001131058, 0.842755019664764], + [0.280097991228104, 0.375599980354309], + [0.106310002505779, 0.399955987930298], + [0.2099249958992, 0.391353011131287], + [0.355807989835739, 0.534406006336212], + [0.471751004457474, 0.65040397644043], + [0.474155008792877, 0.680191993713379], + [0.439785003662109, 0.657229006290436], + [0.414617002010345, 0.66654098033905], + [0.450374007225037, 0.680860996246338], + [0.428770989179611, 0.682690978050232], + [0.374971002340317, 0.727805018424988], + [0.486716985702515, 0.547628998756409], + [0.485300987958908, 0.527395009994507], + [0.257764995098114, 0.314490020275116], + [0.401223003864288, 0.455172002315521], + [0.429818987846375, 0.548614978790283], + [0.421351999044418, 0.533740997314453], + [0.276895999908447, 0.532056987285614], + [0.483370006084442, 0.499586999416351], + [0.33721199631691, 0.282882988452911], + [0.296391993761063, 0.293242990970612], + [0.169294998049736, 0.193813979625702], + [0.447580009698868, 0.302609980106354], + [0.392390012741089, 0.353887975215912], + [0.354490011930466, 0.696784019470215], + [0.067304998636246, 0.730105042457581], + [0.442739009857178, 0.572826027870178], + [0.457098007202148, 0.584792017936707], + [0.381974011659622, 0.694710969924927], + [0.392388999462128, 0.694203019142151], + [0.277076005935669, 0.271932005882263], + [0.422551989555359, 0.563233017921448], + [0.385919004678726, 0.281364023685455], + [0.383103013038635, 0.255840003490448], + [0.331431001424789, 0.119714021682739], + [0.229923993349075, 0.232002973556519], + [0.364500999450684, 0.189113974571228], + [0.229622006416321, 0.299540996551514], + [0.173287004232407, 0.278747975826263], + [0.472878992557526, 0.666198015213013], + [0.446828007698059, 0.668527007102966], + [0.422762006521225, 0.673889994621277], + [0.445307999849319, 0.580065965652466], + [0.388103008270264, 0.693961024284363], + [0.403039008378983, 0.706539988517761], + [0.403629004955292, 0.693953037261963], + [0.460041999816895, 0.557139039039612], + [0.431158006191254, 0.692366003990173], + [0.452181994915009, 0.692366003990173], + [0.475387006998062, 0.692366003990173], + [0.465828001499176, 0.779190003871918], + [0.472328990697861, 0.736225962638855], + [0.473087012767792, 0.717857003211975], + [0.473122000694275, 0.704625964164734], + [0.473033010959625, 0.695277988910675], + [0.427942007780075, 0.695277988910675], + [0.426479011774063, 0.703539967536926], + [0.423162013292313, 0.711845993995667], + [0.4183090031147, 0.720062971115112], + [0.390094995498657, 0.639572978019714], + [0.013953999616206, 0.560034036636353], + [0.499913990497589, 0.58014702796936], + [0.413199990987778, 0.69539999961853], + [0.409626007080078, 0.701822996139526], + [0.468080013990402, 0.601534962654114], + [0.422728985548019, 0.585985004901886], + [0.463079988956451, 0.593783974647522], + [0.37211999297142, 0.47341400384903], + [0.334562003612518, 0.496073007583618], + [0.411671012639999, 0.546965003013611], + [0.242175996303558, 0.14767599105835], + [0.290776997804642, 0.201445996761322], + [0.327338010072708, 0.256527006626129], + [0.399509996175766, 0.748921036720276], + [0.441727995872498, 0.261676013469696], + [0.429764986038208, 0.187834024429321], + [0.412198007106781, 0.108901023864746], + [0.288955003023148, 0.398952007293701], + [0.218936994671822, 0.435410976409912], + [0.41278201341629, 0.398970007896423], + [0.257135003805161, 0.355440020561218], + [0.427684992551804, 0.437960982322693], + [0.448339998722076, 0.536936044692993], + [0.178560003638268, 0.45755398273468], + [0.247308000922203, 0.457193970680237], + [0.286267012357712, 0.467674970626831], + [0.332827985286713, 0.460712015628815], + [0.368755996227264, 0.447206974029541], + [0.398963987827301, 0.432654976844788], + [0.476410001516342, 0.405806005001068], + [0.189241006970406, 0.523923993110657], + [0.228962004184723, 0.348950982093811], + [0.490725994110107, 0.562400996685028], + [0.404670000076294, 0.485132992267609], + [0.019469000399113, 0.401564002037048], + [0.426243007183075, 0.420431017875671], + [0.396993011236191, 0.548797011375427], + [0.266469985246658, 0.376977026462555], + [0.439121007919312, 0.51895797252655], + [0.032313998788595, 0.644356966018677], + [0.419054001569748, 0.387154996395111], + [0.462783008813858, 0.505746960639954], + [0.238978996872902, 0.779744982719421], + [0.198220998048782, 0.831938028335571], + [0.107550002634525, 0.540755033493042], + [0.183610007166862, 0.740257024765015], + [0.134409993886948, 0.333683013916016], + [0.385764002799988, 0.883153975009918], + [0.490967005491257, 0.579378008842468], + [0.382384985685349, 0.508572995662689], + [0.174399003386497, 0.397670984268188], + [0.318785011768341, 0.39623498916626], + [0.343364000320435, 0.400596976280212], + [0.396100014448166, 0.710216999053955], + [0.187885001301765, 0.588537991046906], + [0.430987000465393, 0.944064974784851], + [0.318993002176285, 0.898285031318665], + [0.266247987747192, 0.869701027870178], + [0.500023007392883, 0.190576016902924], + [0.499976992607117, 0.954452991485596], + [0.366169989109039, 0.398822009563446], + [0.393207013607025, 0.39553701877594], + [0.410373002290726, 0.391080021858215], + [0.194993004202843, 0.342101991176605], + [0.388664990663528, 0.362284004688263], + [0.365961998701096, 0.355970978736877], + [0.343364000320435, 0.355356991291046], + [0.318785011768341, 0.35834002494812], + [0.301414996385574, 0.363156020641327], + [0.058132998645306, 0.319076001644135], + [0.301414996385574, 0.387449026107788], + [0.499987989664078, 0.618434011936188], + [0.415838003158569, 0.624195992946625], + [0.445681989192963, 0.566076993942261], + [0.465844005346298, 0.620640993118286], + [0.49992299079895, 0.351523995399475], + [0.288718998432159, 0.819945991039276], + [0.335278987884521, 0.852819979190826], + [0.440512001514435, 0.902418971061707], + [0.128294005990028, 0.791940987110138], + [0.408771991729736, 0.373893976211548], + [0.455606997013092, 0.451801002025604], + [0.499877005815506, 0.908990025520325], + [0.375436991453171, 0.924192011356354], + [0.11421000212431, 0.615022003650665], + [0.448662012815475, 0.695277988910675], + [0.4480200111866, 0.704632043838501], + [0.447111994028091, 0.715808033943176], + [0.444831997156143, 0.730794012546539], + [0.430011987686157, 0.766808986663818], + [0.406787008047104, 0.685672998428345], + [0.400738000869751, 0.681069016456604], + [0.392399996519089, 0.677703022956848], + [0.367855995893478, 0.663918972015381], + [0.247923001646996, 0.601333022117615], + [0.452769994735718, 0.420849978923798], + [0.43639200925827, 0.359887003898621], + [0.416164010763168, 0.368713974952698], + [0.413385987281799, 0.692366003990173], + [0.228018000721931, 0.683571994304657], + [0.468268007040024, 0.352671027183533], + [0.411361992359161, 0.804327011108398], + [0.499989002943039, 0.469825029373169], + [0.479153990745544, 0.442654013633728], + [0.499974012374878, 0.439637005329132], + [0.432112008333206, 0.493588984012604], + [0.499886006116867, 0.866917014122009], + [0.49991300702095, 0.821729004383087], + [0.456548988819122, 0.819200992584229], + [0.344549000263214, 0.745438992977142], + [0.37890899181366, 0.574010014533997], + [0.374292999505997, 0.780184984207153], + [0.319687992334366, 0.570737957954407], + [0.357154995203018, 0.604269981384277], + [0.295284003019333, 0.621580958366394], + [0.447750002145767, 0.862477004528046], + [0.410986006259918, 0.508723020553589], + [0.31395098567009, 0.775308012962341], + [0.354128003120422, 0.812552988529205], + [0.324548006057739, 0.703992962837219], + [0.189096003770828, 0.646299958229065], + [0.279776990413666, 0.71465802192688], + [0.1338230073452, 0.682700991630554], + [0.336768001317978, 0.644733011722565], + [0.429883986711502, 0.466521978378296], + [0.455527991056442, 0.548622965812683], + [0.437114000320435, 0.558896005153656], + [0.467287987470627, 0.529924988746643], + [0.414712011814117, 0.335219979286194], + [0.37704598903656, 0.322777986526489], + [0.344107985496521, 0.320150971412659], + [0.312875986099243, 0.32233202457428], + [0.283526003360748, 0.333190023899078], + [0.241245999932289, 0.382785975933075], + [0.102986000478268, 0.468762993812561], + [0.267612010240555, 0.424560010433197], + [0.297879010438919, 0.433175981044769], + [0.333433985710144, 0.433878004550934], + [0.366427004337311, 0.426115989685059], + [0.396012008190155, 0.416696012020111], + [0.420121014118195, 0.41022801399231], + [0.007561000064015, 0.480777025222778], + [0.432949006557465, 0.569517970085144], + [0.458638995885849, 0.479089021682739], + [0.473466008901596, 0.545744001865387], + [0.476087987422943, 0.563830018043518], + [0.468472003936768, 0.555056989192963], + [0.433990985155106, 0.582361996173859], + [0.483518004417419, 0.562983989715576], + [0.482482999563217, 0.57784903049469], + [0.42645001411438, 0.389798998832703], + [0.438998997211456, 0.39649498462677], + [0.450067013502121, 0.400434017181396], + [0.289712011814117, 0.368252992630005], + [0.276670008897781, 0.363372981548309], + [0.517862021923065, 0.471948027610779], + [0.710287988185883, 0.380764007568359], + [0.526226997375488, 0.573909997940063], + [0.895093023777008, 0.254140973091125], + [0.634069979190826, 0.409575998783112], + [0.661242008209229, 0.41302502155304], + [0.688880026340485, 0.409460008144379], + [0.725341975688934, 0.389131009578705], + [0.606630027294159, 0.40370500087738], + [0.654766023159027, 0.344011008739471], + [0.629905998706818, 0.346076011657715], + [0.680678009986877, 0.347265005111694], + [0.702096998691559, 0.353591024875641], + [0.75221198797226, 0.410804986953735], + [0.602918028831482, 0.842862963676453], + [0.719901978969574, 0.375599980354309], + [0.893692970275879, 0.399959981441498], + [0.790081977844238, 0.391354024410248], + [0.643998026847839, 0.534487962722778], + [0.528249025344849, 0.65040397644043], + [0.525849997997284, 0.680191040039062], + [0.560214996337891, 0.657229006290436], + [0.585384011268616, 0.66654098033905], + [0.549625992774963, 0.680860996246338], + [0.57122802734375, 0.682691991329193], + [0.624852001667023, 0.72809898853302], + [0.513050019741058, 0.547281980514526], + [0.51509702205658, 0.527251958847046], + [0.742246985435486, 0.314507007598877], + [0.598631024360657, 0.454979002475739], + [0.570338010787964, 0.548575043678284], + [0.578631997108459, 0.533622980117798], + [0.723087012767792, 0.532054007053375], + [0.516445994377136, 0.499638974666595], + [0.662801027297974, 0.282917976379395], + [0.70362401008606, 0.293271005153656], + [0.830704987049103, 0.193813979625702], + [0.552385985851288, 0.302568018436432], + [0.607609987258911, 0.353887975215912], + [0.645429015159607, 0.696707010269165], + [0.932694971561432, 0.730105042457581], + [0.557260990142822, 0.572826027870178], + [0.542901992797852, 0.584792017936707], + [0.6180260181427, 0.694710969924927], + [0.607590973377228, 0.694203019142151], + [0.722943007946014, 0.271963000297546], + [0.577413976192474, 0.563166975975037], + [0.614082992076874, 0.281386971473694], + [0.616907000541687, 0.255886018276215], + [0.668509006500244, 0.119913995265961], + [0.770092010498047, 0.232020974159241], + [0.635536015033722, 0.189248979091644], + [0.77039098739624, 0.299556016921997], + [0.826722025871277, 0.278755009174347], + [0.527121007442474, 0.666198015213013], + [0.553171992301941, 0.668527007102966], + [0.577238023281097, 0.673889994621277], + [0.554691970348358, 0.580065965652466], + [0.611896991729736, 0.693961024284363], + [0.59696102142334, 0.706539988517761], + [0.596370995044708, 0.693953037261963], + [0.539958000183105, 0.557139039039612], + [0.568841993808746, 0.692366003990173], + [0.547818005084991, 0.692366003990173], + [0.52461302280426, 0.692366003990173], + [0.534089982509613, 0.779141008853912], + [0.527670979499817, 0.736225962638855], + [0.526912987232208, 0.717857003211975], + [0.526877999305725, 0.704625964164734], + [0.526966989040375, 0.695277988910675], + [0.572058022022247, 0.695277988910675], + [0.573521018028259, 0.703539967536926], + [0.57683801651001, 0.711845993995667], + [0.581691026687622, 0.720062971115112], + [0.609944999217987, 0.639909982681274], + [0.986046016216278, 0.560034036636353], + [0.5867999792099, 0.69539999961853], + [0.590372025966644, 0.701822996139526], + [0.531915009021759, 0.601536989212036], + [0.577268004417419, 0.585934996604919], + [0.536915004253387, 0.593786001205444], + [0.627542972564697, 0.473352015018463], + [0.665585994720459, 0.495950996875763], + [0.588353991508484, 0.546862006187439], + [0.757824003696442, 0.14767599105835], + [0.709249973297119, 0.201507985591888], + [0.672684013843536, 0.256581008434296], + [0.600408971309662, 0.74900496006012], + [0.55826598405838, 0.261672019958496], + [0.570303976535797, 0.187870979309082], + [0.588165998458862, 0.109044015407562], + [0.711045026779175, 0.398952007293701], + [0.781069993972778, 0.435405015945435], + [0.587247014045715, 0.398931980133057], + [0.742869973182678, 0.355445981025696], + [0.572156012058258, 0.437651991844177], + [0.55186802148819, 0.536570012569427], + [0.821442008018494, 0.457556009292603], + [0.752701997756958, 0.457181990146637], + [0.71375697851181, 0.467626988887787], + [0.66711300611496, 0.460672974586487], + [0.631101012229919, 0.447153985500336], + [0.6008620262146, 0.432473003864288], + [0.523481011390686, 0.405627012252808], + [0.810747981071472, 0.523926019668579], + [0.771045982837677, 0.348959028720856], + [0.509127020835876, 0.562718033790588], + [0.595292985439301, 0.485023975372314], + [0.980530977249146, 0.401564002037048], + [0.573499977588654, 0.420000016689301], + [0.602994978427887, 0.548687994480133], + [0.733529984951019, 0.376977026462555], + [0.560611009597778, 0.519016981124878], + [0.967685997486115, 0.644356966018677], + [0.580985009670258, 0.387160003185272], + [0.537728011608124, 0.505385041236877], + [0.760966002941132, 0.779752969741821], + [0.801778972148895, 0.831938028335571], + [0.892440974712372, 0.54076099395752], + [0.816350996494293, 0.740260004997253], + [0.865594983100891, 0.333687007427216], + [0.614073991775513, 0.883246004581451], + [0.508952975273132, 0.579437971115112], + [0.617941975593567, 0.508316040039062], + [0.825608015060425, 0.397674977779388], + [0.681214988231659, 0.39623498916626], + [0.656635999679565, 0.400596976280212], + [0.603900015354156, 0.710216999053955], + [0.81208598613739, 0.588539004325867], + [0.56801301240921, 0.944564998149872], + [0.681007981300354, 0.898285031318665], + [0.733752012252808, 0.869701027870178], + [0.633830010890961, 0.398822009563446], + [0.606792986392975, 0.39553701877594], + [0.589659988880157, 0.391062021255493], + [0.805015981197357, 0.342108011245728], + [0.611334979534149, 0.362284004688263], + [0.634037971496582, 0.355970978736877], + [0.656635999679565, 0.355356991291046], + [0.681214988231659, 0.35834002494812], + [0.698584973812103, 0.363156020641327], + [0.941866993904114, 0.319076001644135], + [0.698584973812103, 0.387449026107788], + [0.584177017211914, 0.624107003211975], + [0.554318010807037, 0.566076993942261], + [0.534153997898102, 0.62064003944397], + [0.711217999458313, 0.819975018501282], + [0.664629995822906, 0.852871000766754], + [0.559099972248077, 0.902631998062134], + [0.871706008911133, 0.791940987110138], + [0.591234028339386, 0.373893976211548], + [0.544341027736664, 0.451583981513977], + [0.624562978744507, 0.924192011356354], + [0.88577002286911, 0.615028977394104], + [0.551338016986847, 0.695277988910675], + [0.551980018615723, 0.704632043838501], + [0.552887976169586, 0.715808033943176], + [0.555167973041534, 0.730794012546539], + [0.569944024085999, 0.767035007476807], + [0.593203008174896, 0.685675978660583], + [0.599261999130249, 0.681069016456604], + [0.607599973678589, 0.677703022956848], + [0.631937980651855, 0.663500010967255], + [0.752032995223999, 0.601315021514893], + [0.547226011753082, 0.420395016670227], + [0.563543975353241, 0.359827995300293], + [0.583841025829315, 0.368713974952698], + [0.586614012718201, 0.692366003990173], + [0.771915018558502, 0.683578014373779], + [0.531597018241882, 0.352482974529266], + [0.588370978832245, 0.804440975189209], + [0.52079701423645, 0.442565023899078], + [0.567984998226166, 0.493479013442993], + [0.543282985687256, 0.819254994392395], + [0.655317008495331, 0.745514988899231], + [0.621008992195129, 0.574018001556396], + [0.625559985637665, 0.78031200170517], + [0.680198013782501, 0.570719003677368], + [0.64276397228241, 0.604337990283966], + [0.704662978649139, 0.621529996395111], + [0.552012026309967, 0.862591981887817], + [0.589071989059448, 0.508637011051178], + [0.685944974422455, 0.775357007980347], + [0.645735025405884, 0.812640011310577], + [0.675342977046967, 0.703978002071381], + [0.810858011245728, 0.646304965019226], + [0.72012197971344, 0.714666962623596], + [0.866151988506317, 0.682704985141754], + [0.663187026977539, 0.644596993923187], + [0.570082008838654, 0.466325998306274], + [0.544561982154846, 0.548375964164734], + [0.562758982181549, 0.558784961700439], + [0.531987011432648, 0.530140042304993], + [0.585271000862122, 0.335177004337311], + [0.622952997684479, 0.32277899980545], + [0.655896008014679, 0.320163011550903], + [0.687132000923157, 0.322345972061157], + [0.716481983661652, 0.333200991153717], + [0.758756995201111, 0.382786989212036], + [0.897013008594513, 0.468769013881683], + [0.732392013072968, 0.424547016620636], + [0.70211398601532, 0.433162987232208], + [0.66652500629425, 0.433866024017334], + [0.633504986763, 0.426087975502014], + [0.603875994682312, 0.416586995124817], + [0.579657971858978, 0.409945011138916], + [0.992439985275269, 0.480777025222778], + [0.567192018032074, 0.569419980049133], + [0.54136598110199, 0.478899002075195], + [0.526564002037048, 0.546118021011353], + [0.523913025856018, 0.563830018043518], + [0.531529009342194, 0.555056989192963], + [0.566035985946655, 0.582329034805298], + [0.51631098985672, 0.563053965568542], + [0.5174720287323, 0.577877044677734], + [0.573594987392426, 0.389806985855103], + [0.560697972774506, 0.395331978797913], + [0.549755990505219, 0.399751007556915], + [0.710287988185883, 0.368252992630005], + [0.723330020904541, 0.363372981548309] +]; +var TRI468 = [ + 127, + 34, + 139, + 11, + 0, + 37, + 232, + 231, + 120, + 72, + 37, + 39, + 128, + 121, + 47, + 232, + 121, + 128, + 104, + 69, + 67, + 175, + 171, + 148, + 157, + 154, + 155, + 118, + 50, + 101, + 73, + 39, + 40, + 9, + 151, + 108, + 48, + 115, + 131, + 194, + 204, + 211, + 74, + 40, + 185, + 80, + 42, + 183, + 40, + 92, + 186, + 230, + 229, + 118, + 202, + 212, + 214, + 83, + 18, + 17, + 76, + 61, + 146, + 160, + 29, + 30, + 56, + 157, + 173, + 106, + 204, + 194, + 135, + 214, + 192, + 203, + 165, + 98, + 21, + 71, + 68, + 51, + 45, + 4, + 144, + 24, + 23, + 77, + 146, + 91, + 205, + 50, + 187, + 201, + 200, + 18, + 91, + 106, + 182, + 90, + 91, + 181, + 85, + 84, + 17, + 206, + 203, + 36, + 148, + 171, + 140, + 92, + 40, + 39, + 193, + 189, + 244, + 159, + 158, + 28, + 247, + 246, + 161, + 236, + 3, + 196, + 54, + 68, + 104, + 193, + 168, + 8, + 117, + 228, + 31, + 189, + 193, + 55, + 98, + 97, + 99, + 126, + 47, + 100, + 166, + 79, + 218, + 155, + 154, + 26, + 209, + 49, + 131, + 135, + 136, + 150, + 47, + 126, + 217, + 223, + 52, + 53, + 45, + 51, + 134, + 211, + 170, + 140, + 67, + 69, + 108, + 43, + 106, + 91, + 230, + 119, + 120, + 226, + 130, + 247, + 63, + 53, + 52, + 238, + 20, + 242, + 46, + 70, + 156, + 78, + 62, + 96, + 46, + 53, + 63, + 143, + 34, + 227, + 173, + 155, + 133, + 123, + 117, + 111, + 44, + 125, + 19, + 236, + 134, + 51, + 216, + 206, + 205, + 154, + 153, + 22, + 39, + 37, + 167, + 200, + 201, + 208, + 36, + 142, + 100, + 57, + 212, + 202, + 20, + 60, + 99, + 28, + 158, + 157, + 35, + 226, + 113, + 160, + 159, + 27, + 204, + 202, + 210, + 113, + 225, + 46, + 43, + 202, + 204, + 62, + 76, + 77, + 137, + 123, + 116, + 41, + 38, + 72, + 203, + 129, + 142, + 64, + 98, + 240, + 49, + 102, + 64, + 41, + 73, + 74, + 212, + 216, + 207, + 42, + 74, + 184, + 169, + 170, + 211, + 170, + 149, + 176, + 105, + 66, + 69, + 122, + 6, + 168, + 123, + 147, + 187, + 96, + 77, + 90, + 65, + 55, + 107, + 89, + 90, + 180, + 101, + 100, + 120, + 63, + 105, + 104, + 93, + 137, + 227, + 15, + 86, + 85, + 129, + 102, + 49, + 14, + 87, + 86, + 55, + 8, + 9, + 100, + 47, + 121, + 145, + 23, + 22, + 88, + 89, + 179, + 6, + 122, + 196, + 88, + 95, + 96, + 138, + 172, + 136, + 215, + 58, + 172, + 115, + 48, + 219, + 42, + 80, + 81, + 195, + 3, + 51, + 43, + 146, + 61, + 171, + 175, + 199, + 81, + 82, + 38, + 53, + 46, + 225, + 144, + 163, + 110, + 246, + 33, + 7, + 52, + 65, + 66, + 229, + 228, + 117, + 34, + 127, + 234, + 107, + 108, + 69, + 109, + 108, + 151, + 48, + 64, + 235, + 62, + 78, + 191, + 129, + 209, + 126, + 111, + 35, + 143, + 163, + 161, + 246, + 117, + 123, + 50, + 222, + 65, + 52, + 19, + 125, + 141, + 221, + 55, + 65, + 3, + 195, + 197, + 25, + 7, + 33, + 220, + 237, + 44, + 70, + 71, + 139, + 122, + 193, + 245, + 247, + 130, + 33, + 71, + 21, + 162, + 153, + 158, + 159, + 170, + 169, + 150, + 188, + 174, + 196, + 216, + 186, + 92, + 144, + 160, + 161, + 2, + 97, + 167, + 141, + 125, + 241, + 164, + 167, + 37, + 72, + 38, + 12, + 145, + 159, + 160, + 38, + 82, + 13, + 63, + 68, + 71, + 226, + 35, + 111, + 158, + 153, + 154, + 101, + 50, + 205, + 206, + 92, + 165, + 209, + 198, + 217, + 165, + 167, + 97, + 220, + 115, + 218, + 133, + 112, + 243, + 239, + 238, + 241, + 214, + 135, + 169, + 190, + 173, + 133, + 171, + 208, + 32, + 125, + 44, + 237, + 86, + 87, + 178, + 85, + 86, + 179, + 84, + 85, + 180, + 83, + 84, + 181, + 201, + 83, + 182, + 137, + 93, + 132, + 76, + 62, + 183, + 61, + 76, + 184, + 57, + 61, + 185, + 212, + 57, + 186, + 214, + 207, + 187, + 34, + 143, + 156, + 79, + 239, + 237, + 123, + 137, + 177, + 44, + 1, + 4, + 201, + 194, + 32, + 64, + 102, + 129, + 213, + 215, + 138, + 59, + 166, + 219, + 242, + 99, + 97, + 2, + 94, + 141, + 75, + 59, + 235, + 24, + 110, + 228, + 25, + 130, + 226, + 23, + 24, + 229, + 22, + 23, + 230, + 26, + 22, + 231, + 112, + 26, + 232, + 189, + 190, + 243, + 221, + 56, + 190, + 28, + 56, + 221, + 27, + 28, + 222, + 29, + 27, + 223, + 30, + 29, + 224, + 247, + 30, + 225, + 238, + 79, + 20, + 166, + 59, + 75, + 60, + 75, + 240, + 147, + 177, + 215, + 20, + 79, + 166, + 187, + 147, + 213, + 112, + 233, + 244, + 233, + 128, + 245, + 128, + 114, + 188, + 114, + 217, + 174, + 131, + 115, + 220, + 217, + 198, + 236, + 198, + 131, + 134, + 177, + 132, + 58, + 143, + 35, + 124, + 110, + 163, + 7, + 228, + 110, + 25, + 356, + 389, + 368, + 11, + 302, + 267, + 452, + 350, + 349, + 302, + 303, + 269, + 357, + 343, + 277, + 452, + 453, + 357, + 333, + 332, + 297, + 175, + 152, + 377, + 384, + 398, + 382, + 347, + 348, + 330, + 303, + 304, + 270, + 9, + 336, + 337, + 278, + 279, + 360, + 418, + 262, + 431, + 304, + 408, + 409, + 310, + 415, + 407, + 270, + 409, + 410, + 450, + 348, + 347, + 422, + 430, + 434, + 313, + 314, + 17, + 306, + 307, + 375, + 387, + 388, + 260, + 286, + 414, + 398, + 335, + 406, + 418, + 364, + 367, + 416, + 423, + 358, + 327, + 251, + 284, + 298, + 281, + 5, + 4, + 373, + 374, + 253, + 307, + 320, + 321, + 425, + 427, + 411, + 421, + 313, + 18, + 321, + 405, + 406, + 320, + 404, + 405, + 315, + 16, + 17, + 426, + 425, + 266, + 377, + 400, + 369, + 322, + 391, + 269, + 417, + 465, + 464, + 386, + 257, + 258, + 466, + 260, + 388, + 456, + 399, + 419, + 284, + 332, + 333, + 417, + 285, + 8, + 346, + 340, + 261, + 413, + 441, + 285, + 327, + 460, + 328, + 355, + 371, + 329, + 392, + 439, + 438, + 382, + 341, + 256, + 429, + 420, + 360, + 364, + 394, + 379, + 277, + 343, + 437, + 443, + 444, + 283, + 275, + 440, + 363, + 431, + 262, + 369, + 297, + 338, + 337, + 273, + 375, + 321, + 450, + 451, + 349, + 446, + 342, + 467, + 293, + 334, + 282, + 458, + 461, + 462, + 276, + 353, + 383, + 308, + 324, + 325, + 276, + 300, + 293, + 372, + 345, + 447, + 382, + 398, + 362, + 352, + 345, + 340, + 274, + 1, + 19, + 456, + 248, + 281, + 436, + 427, + 425, + 381, + 256, + 252, + 269, + 391, + 393, + 200, + 199, + 428, + 266, + 330, + 329, + 287, + 273, + 422, + 250, + 462, + 328, + 258, + 286, + 384, + 265, + 353, + 342, + 387, + 259, + 257, + 424, + 431, + 430, + 342, + 353, + 276, + 273, + 335, + 424, + 292, + 325, + 307, + 366, + 447, + 345, + 271, + 303, + 302, + 423, + 266, + 371, + 294, + 455, + 460, + 279, + 278, + 294, + 271, + 272, + 304, + 432, + 434, + 427, + 272, + 407, + 408, + 394, + 430, + 431, + 395, + 369, + 400, + 334, + 333, + 299, + 351, + 417, + 168, + 352, + 280, + 411, + 325, + 319, + 320, + 295, + 296, + 336, + 319, + 403, + 404, + 330, + 348, + 349, + 293, + 298, + 333, + 323, + 454, + 447, + 15, + 16, + 315, + 358, + 429, + 279, + 14, + 15, + 316, + 285, + 336, + 9, + 329, + 349, + 350, + 374, + 380, + 252, + 318, + 402, + 403, + 6, + 197, + 419, + 318, + 319, + 325, + 367, + 364, + 365, + 435, + 367, + 397, + 344, + 438, + 439, + 272, + 271, + 311, + 195, + 5, + 281, + 273, + 287, + 291, + 396, + 428, + 199, + 311, + 271, + 268, + 283, + 444, + 445, + 373, + 254, + 339, + 263, + 466, + 249, + 282, + 334, + 296, + 449, + 347, + 346, + 264, + 447, + 454, + 336, + 296, + 299, + 338, + 10, + 151, + 278, + 439, + 455, + 292, + 407, + 415, + 358, + 371, + 355, + 340, + 345, + 372, + 390, + 249, + 466, + 346, + 347, + 280, + 442, + 443, + 282, + 19, + 94, + 370, + 441, + 442, + 295, + 248, + 419, + 197, + 263, + 255, + 359, + 440, + 275, + 274, + 300, + 383, + 368, + 351, + 412, + 465, + 263, + 467, + 466, + 301, + 368, + 389, + 380, + 374, + 386, + 395, + 378, + 379, + 412, + 351, + 419, + 436, + 426, + 322, + 373, + 390, + 388, + 2, + 164, + 393, + 370, + 462, + 461, + 164, + 0, + 267, + 302, + 11, + 12, + 374, + 373, + 387, + 268, + 12, + 13, + 293, + 300, + 301, + 446, + 261, + 340, + 385, + 384, + 381, + 330, + 266, + 425, + 426, + 423, + 391, + 429, + 355, + 437, + 391, + 327, + 326, + 440, + 457, + 438, + 341, + 382, + 362, + 459, + 457, + 461, + 434, + 430, + 394, + 414, + 463, + 362, + 396, + 369, + 262, + 354, + 461, + 457, + 316, + 403, + 402, + 315, + 404, + 403, + 314, + 405, + 404, + 313, + 406, + 405, + 421, + 418, + 406, + 366, + 401, + 361, + 306, + 408, + 407, + 291, + 409, + 408, + 287, + 410, + 409, + 432, + 436, + 410, + 434, + 416, + 411, + 264, + 368, + 383, + 309, + 438, + 457, + 352, + 376, + 401, + 274, + 275, + 4, + 421, + 428, + 262, + 294, + 327, + 358, + 433, + 416, + 367, + 289, + 455, + 439, + 462, + 370, + 326, + 2, + 326, + 370, + 305, + 460, + 455, + 254, + 449, + 448, + 255, + 261, + 446, + 253, + 450, + 449, + 252, + 451, + 450, + 256, + 452, + 451, + 341, + 453, + 452, + 413, + 464, + 463, + 441, + 413, + 414, + 258, + 442, + 441, + 257, + 443, + 442, + 259, + 444, + 443, + 260, + 445, + 444, + 467, + 342, + 445, + 459, + 458, + 250, + 289, + 392, + 290, + 290, + 328, + 460, + 376, + 433, + 435, + 250, + 290, + 392, + 411, + 416, + 433, + 341, + 463, + 464, + 453, + 464, + 465, + 357, + 465, + 412, + 343, + 412, + 399, + 360, + 363, + 440, + 437, + 399, + 456, + 420, + 456, + 363, + 401, + 435, + 288, + 372, + 383, + 353, + 339, + 255, + 249, + 448, + 261, + 255, + 133, + 243, + 190, + 133, + 155, + 112, + 33, + 246, + 247, + 33, + 130, + 25, + 398, + 384, + 286, + 362, + 398, + 414, + 362, + 463, + 341, + 263, + 359, + 467, + 263, + 249, + 255, + 466, + 467, + 260, + 75, + 60, + 166, + 238, + 239, + 79, + 162, + 127, + 139, + 72, + 11, + 37, + 121, + 232, + 120, + 73, + 72, + 39, + 114, + 128, + 47, + 233, + 232, + 128, + 103, + 104, + 67, + 152, + 175, + 148, + 173, + 157, + 155, + 119, + 118, + 101, + 74, + 73, + 40, + 107, + 9, + 108, + 49, + 48, + 131, + 32, + 194, + 211, + 184, + 74, + 185, + 191, + 80, + 183, + 185, + 40, + 186, + 119, + 230, + 118, + 210, + 202, + 214, + 84, + 83, + 17, + 77, + 76, + 146, + 161, + 160, + 30, + 190, + 56, + 173, + 182, + 106, + 194, + 138, + 135, + 192, + 129, + 203, + 98, + 54, + 21, + 68, + 5, + 51, + 4, + 145, + 144, + 23, + 90, + 77, + 91, + 207, + 205, + 187, + 83, + 201, + 18, + 181, + 91, + 182, + 180, + 90, + 181, + 16, + 85, + 17, + 205, + 206, + 36, + 176, + 148, + 140, + 165, + 92, + 39, + 245, + 193, + 244, + 27, + 159, + 28, + 30, + 247, + 161, + 174, + 236, + 196, + 103, + 54, + 104, + 55, + 193, + 8, + 111, + 117, + 31, + 221, + 189, + 55, + 240, + 98, + 99, + 142, + 126, + 100, + 219, + 166, + 218, + 112, + 155, + 26, + 198, + 209, + 131, + 169, + 135, + 150, + 114, + 47, + 217, + 224, + 223, + 53, + 220, + 45, + 134, + 32, + 211, + 140, + 109, + 67, + 108, + 146, + 43, + 91, + 231, + 230, + 120, + 113, + 226, + 247, + 105, + 63, + 52, + 241, + 238, + 242, + 124, + 46, + 156, + 95, + 78, + 96, + 70, + 46, + 63, + 116, + 143, + 227, + 116, + 123, + 111, + 1, + 44, + 19, + 3, + 236, + 51, + 207, + 216, + 205, + 26, + 154, + 22, + 165, + 39, + 167, + 199, + 200, + 208, + 101, + 36, + 100, + 43, + 57, + 202, + 242, + 20, + 99, + 56, + 28, + 157, + 124, + 35, + 113, + 29, + 160, + 27, + 211, + 204, + 210, + 124, + 113, + 46, + 106, + 43, + 204, + 96, + 62, + 77, + 227, + 137, + 116, + 73, + 41, + 72, + 36, + 203, + 142, + 235, + 64, + 240, + 48, + 49, + 64, + 42, + 41, + 74, + 214, + 212, + 207, + 183, + 42, + 184, + 210, + 169, + 211, + 140, + 170, + 176, + 104, + 105, + 69, + 193, + 122, + 168, + 50, + 123, + 187, + 89, + 96, + 90, + 66, + 65, + 107, + 179, + 89, + 180, + 119, + 101, + 120, + 68, + 63, + 104, + 234, + 93, + 227, + 16, + 15, + 85, + 209, + 129, + 49, + 15, + 14, + 86, + 107, + 55, + 9, + 120, + 100, + 121, + 153, + 145, + 22, + 178, + 88, + 179, + 197, + 6, + 196, + 89, + 88, + 96, + 135, + 138, + 136, + 138, + 215, + 172, + 218, + 115, + 219, + 41, + 42, + 81, + 5, + 195, + 51, + 57, + 43, + 61, + 208, + 171, + 199, + 41, + 81, + 38, + 224, + 53, + 225, + 24, + 144, + 110, + 105, + 52, + 66, + 118, + 229, + 117, + 227, + 34, + 234, + 66, + 107, + 69, + 10, + 109, + 151, + 219, + 48, + 235, + 183, + 62, + 191, + 142, + 129, + 126, + 116, + 111, + 143, + 7, + 163, + 246, + 118, + 117, + 50, + 223, + 222, + 52, + 94, + 19, + 141, + 222, + 221, + 65, + 196, + 3, + 197, + 45, + 220, + 44, + 156, + 70, + 139, + 188, + 122, + 245, + 139, + 71, + 162, + 145, + 153, + 159, + 149, + 170, + 150, + 122, + 188, + 196, + 206, + 216, + 92, + 163, + 144, + 161, + 164, + 2, + 167, + 242, + 141, + 241, + 0, + 164, + 37, + 11, + 72, + 12, + 144, + 145, + 160, + 12, + 38, + 13, + 70, + 63, + 71, + 31, + 226, + 111, + 157, + 158, + 154, + 36, + 101, + 205, + 203, + 206, + 165, + 126, + 209, + 217, + 98, + 165, + 97, + 237, + 220, + 218, + 237, + 239, + 241, + 210, + 214, + 169, + 140, + 171, + 32, + 241, + 125, + 237, + 179, + 86, + 178, + 180, + 85, + 179, + 181, + 84, + 180, + 182, + 83, + 181, + 194, + 201, + 182, + 177, + 137, + 132, + 184, + 76, + 183, + 185, + 61, + 184, + 186, + 57, + 185, + 216, + 212, + 186, + 192, + 214, + 187, + 139, + 34, + 156, + 218, + 79, + 237, + 147, + 123, + 177, + 45, + 44, + 4, + 208, + 201, + 32, + 98, + 64, + 129, + 192, + 213, + 138, + 235, + 59, + 219, + 141, + 242, + 97, + 97, + 2, + 141, + 240, + 75, + 235, + 229, + 24, + 228, + 31, + 25, + 226, + 230, + 23, + 229, + 231, + 22, + 230, + 232, + 26, + 231, + 233, + 112, + 232, + 244, + 189, + 243, + 189, + 221, + 190, + 222, + 28, + 221, + 223, + 27, + 222, + 224, + 29, + 223, + 225, + 30, + 224, + 113, + 247, + 225, + 99, + 60, + 240, + 213, + 147, + 215, + 60, + 20, + 166, + 192, + 187, + 213, + 243, + 112, + 244, + 244, + 233, + 245, + 245, + 128, + 188, + 188, + 114, + 174, + 134, + 131, + 220, + 174, + 217, + 236, + 236, + 198, + 134, + 215, + 177, + 58, + 156, + 143, + 124, + 25, + 110, + 7, + 31, + 228, + 25, + 264, + 356, + 368, + 0, + 11, + 267, + 451, + 452, + 349, + 267, + 302, + 269, + 350, + 357, + 277, + 350, + 452, + 357, + 299, + 333, + 297, + 396, + 175, + 377, + 381, + 384, + 382, + 280, + 347, + 330, + 269, + 303, + 270, + 151, + 9, + 337, + 344, + 278, + 360, + 424, + 418, + 431, + 270, + 304, + 409, + 272, + 310, + 407, + 322, + 270, + 410, + 449, + 450, + 347, + 432, + 422, + 434, + 18, + 313, + 17, + 291, + 306, + 375, + 259, + 387, + 260, + 424, + 335, + 418, + 434, + 364, + 416, + 391, + 423, + 327, + 301, + 251, + 298, + 275, + 281, + 4, + 254, + 373, + 253, + 375, + 307, + 321, + 280, + 425, + 411, + 200, + 421, + 18, + 335, + 321, + 406, + 321, + 320, + 405, + 314, + 315, + 17, + 423, + 426, + 266, + 396, + 377, + 369, + 270, + 322, + 269, + 413, + 417, + 464, + 385, + 386, + 258, + 248, + 456, + 419, + 298, + 284, + 333, + 168, + 417, + 8, + 448, + 346, + 261, + 417, + 413, + 285, + 326, + 327, + 328, + 277, + 355, + 329, + 309, + 392, + 438, + 381, + 382, + 256, + 279, + 429, + 360, + 365, + 364, + 379, + 355, + 277, + 437, + 282, + 443, + 283, + 281, + 275, + 363, + 395, + 431, + 369, + 299, + 297, + 337, + 335, + 273, + 321, + 348, + 450, + 349, + 359, + 446, + 467, + 283, + 293, + 282, + 250, + 458, + 462, + 300, + 276, + 383, + 292, + 308, + 325, + 283, + 276, + 293, + 264, + 372, + 447, + 346, + 352, + 340, + 354, + 274, + 19, + 363, + 456, + 281, + 426, + 436, + 425, + 380, + 381, + 252, + 267, + 269, + 393, + 421, + 200, + 428, + 371, + 266, + 329, + 432, + 287, + 422, + 290, + 250, + 328, + 385, + 258, + 384, + 446, + 265, + 342, + 386, + 387, + 257, + 422, + 424, + 430, + 445, + 342, + 276, + 422, + 273, + 424, + 306, + 292, + 307, + 352, + 366, + 345, + 268, + 271, + 302, + 358, + 423, + 371, + 327, + 294, + 460, + 331, + 279, + 294, + 303, + 271, + 304, + 436, + 432, + 427, + 304, + 272, + 408, + 395, + 394, + 431, + 378, + 395, + 400, + 296, + 334, + 299, + 6, + 351, + 168, + 376, + 352, + 411, + 307, + 325, + 320, + 285, + 295, + 336, + 320, + 319, + 404, + 329, + 330, + 349, + 334, + 293, + 333, + 366, + 323, + 447, + 316, + 15, + 315, + 331, + 358, + 279, + 317, + 14, + 316, + 8, + 285, + 9, + 277, + 329, + 350, + 253, + 374, + 252, + 319, + 318, + 403, + 351, + 6, + 419, + 324, + 318, + 325, + 397, + 367, + 365, + 288, + 435, + 397, + 278, + 344, + 439, + 310, + 272, + 311, + 248, + 195, + 281, + 375, + 273, + 291, + 175, + 396, + 199, + 312, + 311, + 268, + 276, + 283, + 445, + 390, + 373, + 339, + 295, + 282, + 296, + 448, + 449, + 346, + 356, + 264, + 454, + 337, + 336, + 299, + 337, + 338, + 151, + 294, + 278, + 455, + 308, + 292, + 415, + 429, + 358, + 355, + 265, + 340, + 372, + 388, + 390, + 466, + 352, + 346, + 280, + 295, + 442, + 282, + 354, + 19, + 370, + 285, + 441, + 295, + 195, + 248, + 197, + 457, + 440, + 274, + 301, + 300, + 368, + 417, + 351, + 465, + 251, + 301, + 389, + 385, + 380, + 386, + 394, + 395, + 379, + 399, + 412, + 419, + 410, + 436, + 322, + 387, + 373, + 388, + 326, + 2, + 393, + 354, + 370, + 461, + 393, + 164, + 267, + 268, + 302, + 12, + 386, + 374, + 387, + 312, + 268, + 13, + 298, + 293, + 301, + 265, + 446, + 340, + 380, + 385, + 381, + 280, + 330, + 425, + 322, + 426, + 391, + 420, + 429, + 437, + 393, + 391, + 326, + 344, + 440, + 438, + 458, + 459, + 461, + 364, + 434, + 394, + 428, + 396, + 262, + 274, + 354, + 457, + 317, + 316, + 402, + 316, + 315, + 403, + 315, + 314, + 404, + 314, + 313, + 405, + 313, + 421, + 406, + 323, + 366, + 361, + 292, + 306, + 407, + 306, + 291, + 408, + 291, + 287, + 409, + 287, + 432, + 410, + 427, + 434, + 411, + 372, + 264, + 383, + 459, + 309, + 457, + 366, + 352, + 401, + 1, + 274, + 4, + 418, + 421, + 262, + 331, + 294, + 358, + 435, + 433, + 367, + 392, + 289, + 439, + 328, + 462, + 326, + 94, + 2, + 370, + 289, + 305, + 455, + 339, + 254, + 448, + 359, + 255, + 446, + 254, + 253, + 449, + 253, + 252, + 450, + 252, + 256, + 451, + 256, + 341, + 452, + 414, + 413, + 463, + 286, + 441, + 414, + 286, + 258, + 441, + 258, + 257, + 442, + 257, + 259, + 443, + 259, + 260, + 444, + 260, + 467, + 445, + 309, + 459, + 250, + 305, + 289, + 290, + 305, + 290, + 460, + 401, + 376, + 435, + 309, + 250, + 392, + 376, + 411, + 433, + 453, + 341, + 464, + 357, + 453, + 465, + 343, + 357, + 412, + 437, + 343, + 399, + 344, + 360, + 440, + 420, + 437, + 456, + 360, + 420, + 363, + 361, + 401, + 288, + 265, + 372, + 353, + 390, + 339, + 249, + 339, + 448, + 255 +]; +var VTX68 = [ + /* cont */ + 127, + 234, + 132, + 58, + 172, + 150, + 149, + 148, + 152, + 377, + 378, + 379, + 397, + 288, + 361, + 454, + 356, + /* brows */ + 70, + 63, + 105, + 66, + 107, + 336, + 296, + 334, + 293, + 300, + /* nose */ + 168, + 6, + 195, + 4, + 98, + 97, + 2, + 326, + 327, + /* eyes */ + 33, + 160, + 158, + 133, + 153, + 144, + 362, + 385, + 387, + 263, + 373, + 380, + /* lip */ + 57, + 40, + 37, + 0, + 267, + 270, + 287, + 321, + 314, + 17, + 84, + 91, + /* mouth */ + 78, + 81, + 13, + 311, + 308, + 402, + 14, + 178 +]; +var VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152]; +var VTX7 = [33, 133, 362, 263, 1, 78, 308]; +var UV68 = VTX68.map((x) => UV468[x]); +var UV33 = VTX33.map((x) => UV468[x]); +var UV7 = VTX7.map((x) => UV468[x]); +function connectionsToIndices(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var pairsLips = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var pairsLeftEye = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var pairsLeftEyebrow = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var pairsLeftIris = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var pairsRightEye = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var pairsRightEyebrow = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var pairsRightIris = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var pairsFaceContour = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +var contourKeypoints = { + lips: connectionsToIndices(pairsLips), + leftEye: connectionsToIndices(pairsLeftEye), + leftEyebrow: connectionsToIndices(pairsLeftEyebrow), + leftIris: connectionsToIndices(pairsLeftIris), + rightEye: connectionsToIndices(pairsRightEye), + rightEyebrow: connectionsToIndices(pairsRightEyebrow), + rightIris: connectionsToIndices(pairsRightIris), + faceOval: connectionsToIndices(pairsFaceContour) +}; + +// src/face/constants.ts +var LIPS_CONNECTIONS = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var LEFT_EYE_CONNECTIONS = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var LEFT_EYEBROW_CONNECTIONS = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var LEFT_IRIS_CONNECTIONS = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var RIGHT_EYE_CONNECTIONS = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var RIGHT_EYEBROW_CONNECTIONS = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var RIGHT_IRIS_CONNECTIONS = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var FACE_OVAL_CONNECTIONS = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +function connectionsToIndices2(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = { + lips: connectionsToIndices2(LIPS_CONNECTIONS), + leftEye: connectionsToIndices2(LEFT_EYE_CONNECTIONS), + leftEyebrow: connectionsToIndices2(LEFT_EYEBROW_CONNECTIONS), + leftIris: connectionsToIndices2(LEFT_IRIS_CONNECTIONS), + rightEye: connectionsToIndices2(RIGHT_EYE_CONNECTIONS), + rightEyebrow: connectionsToIndices2(RIGHT_EYEBROW_CONNECTIONS), + rightIris: connectionsToIndices2(RIGHT_IRIS_CONNECTIONS), + faceOval: connectionsToIndices2(FACE_OVAL_CONNECTIONS) +}; +var indexLabelPairs = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR).map(([label, indices]) => indices.map((index2) => [index2, label])).flat(); +var MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs); +var LANDMARKS_REFINEMENT_LIPS_CONFIG = [ + 61, + 146, + 91, + 181, + 84, + 17, + 314, + 405, + 321, + 375, + 291, + // Lower outer. + 185, + 40, + 39, + 37, + 0, + 267, + 269, + 270, + 409, + // Upper outer(excluding corners). + 78, + 95, + 88, + 178, + 87, + 14, + 317, + 402, + 318, + 324, + 308, + // Lower inner. + 191, + 80, + 81, + 82, + 13, + 312, + 311, + 310, + 415, + // Upper inner(excluding corners). + 76, + 77, + 90, + 180, + 85, + 16, + 315, + 404, + 320, + 307, + 306, + // Lower semi - outer. + 184, + 74, + 73, + 72, + 11, + 302, + 303, + 304, + 408, + // Upper semi - outer(excluding corners). + 62, + 96, + 89, + 179, + 86, + 15, + 316, + 403, + 319, + 325, + 292, + // Lower semi - inner. + 183, + 42, + 41, + 38, + 12, + 268, + 271, + 272, + 407 + // Upper semi - inner(excluding corners). +]; +var LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [ + 33, + 7, + 163, + 144, + 145, + 153, + 154, + 155, + 133, + // Lower contour. + 246, + 161, + 160, + 159, + 158, + 157, + 173, + // upper contour (excluding corners). + 130, + 25, + 110, + 24, + 23, + 22, + 26, + 112, + 243, + // Halo x2 lower contour. + 247, + 30, + 29, + 27, + 28, + 56, + 190, + // Halo x2 upper contour (excluding corners). + 226, + 31, + 228, + 229, + 230, + 231, + 232, + 233, + 244, + // Halo x3 lower contour. + 113, + 225, + 224, + 223, + 222, + 221, + 189, + // Halo x3 upper contour (excluding corners). + 35, + 124, + 46, + 53, + 52, + 65, + // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour. + 143, + 111, + 117, + 118, + 119, + 120, + 121, + 128, + 245, + // Halo x5 lower contour. + 156, + 70, + 63, + 105, + 66, + 107, + 55, + 193 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; +var LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [ + 263, + 249, + 390, + 373, + 374, + 380, + 381, + 382, + 362, + // Lower contour. + 466, + 388, + 387, + 386, + 385, + 384, + 398, + // Upper contour (excluding corners). + 359, + 255, + 339, + 254, + 253, + 252, + 256, + 341, + 463, + // Halo x2 lower contour. + 467, + 260, + 259, + 257, + 258, + 286, + 414, + // Halo x2 upper contour (excluding corners). + 446, + 261, + 448, + 449, + 450, + 451, + 452, + 453, + 464, + // Halo x3 lower contour. + 342, + 445, + 444, + 443, + 442, + 441, + 413, + // Halo x3 upper contour (excluding corners). + 265, + 353, + 276, + 283, + 282, + 295, + // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour. + 372, + 340, + 346, + 347, + 348, + 349, + 350, + 357, + 465, + // Halo x5 lower contour. + 383, + 300, + 293, + 334, + 296, + 336, + 285, + 417 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; + +// src/draw/face.ts +var localOptions; +function drawLabels(f, ctx) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i; + if (!localOptions.drawLabels || ((_a = localOptions.faceLabels) == null ? void 0 : _a.length) === 0) + return; + let l = localOptions.faceLabels.slice(); + l = replace(l, "[id]", f.id.toFixed(0)); + if (f.score) + l = replace(l, "[score]", 100 * f.score); + if (f.gender) + l = replace(l, "[gender]", f.gender); + if (f.genderScore) + l = replace(l, "[genderScore]", 100 * f.genderScore); + if (f.age) + l = replace(l, "[age]", f.age); + if (f.distance) + l = replace(l, "[distance]", 100 * f.distance); + if (f.real) + l = replace(l, "[real]", 100 * f.real); + if (f.live) + l = replace(l, "[live]", 100 * f.live); + if (f.emotion && f.emotion.length > 0) { + const emotion2 = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`); + if (emotion2.length > 3) + emotion2.length = 3; + l = replace(l, "[emotions]", emotion2.join(" ")); + } + if ((_c = (_b = f.rotation) == null ? void 0 : _b.angle) == null ? void 0 : _c.roll) + l = replace(l, "[roll]", rad2deg(f.rotation.angle.roll)); + if ((_e = (_d = f.rotation) == null ? void 0 : _d.angle) == null ? void 0 : _e.yaw) + l = replace(l, "[yaw]", rad2deg(f.rotation.angle.yaw)); + if ((_g = (_f = f.rotation) == null ? void 0 : _f.angle) == null ? void 0 : _g.pitch) + l = replace(l, "[pitch]", rad2deg(f.rotation.angle.pitch)); + if ((_i = (_h = f.rotation) == null ? void 0 : _h.gaze) == null ? void 0 : _i.bearing) + l = replace(l, "[gaze]", rad2deg(f.rotation.gaze.bearing)); + labels(ctx, l, f.box[0], f.box[1], localOptions); +} +function drawIrisElipse(f, ctx) { + var _a, _b, _c, _d; + if (((_a = f.annotations) == null ? void 0 : _a.leftEyeIris) && ((_b = f.annotations) == null ? void 0 : _b.leftEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } + if (((_c = f.annotations) == null ? void 0 : _c.rightEyeIris) && ((_d = f.annotations) == null ? void 0 : _d.rightEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } +} +function drawGazeSpheres(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.angle) && typeof Path2D !== "undefined") { + ctx.strokeStyle = "pink"; + const valX = f.box[0] + f.box[2] / 2 - f.box[3] * rad2deg(f.rotation.angle.yaw) / 90; + const valY = f.box[1] + f.box[3] / 2 + f.box[2] * rad2deg(f.rotation.angle.pitch) / 90; + const pathV = new Path2D(` + M ${f.box[0] + f.box[2] / 2} ${f.box[1]} C - ${o} ${e.box[1]}, - ${o} ${e.box[1]+e.box[3]}, - ${e.box[0]+e.box[2]/2} ${e.box[1]+e.box[3]} - `),a=new Path2D(` - M ${e.box[0]} ${e.box[1]+e.box[3]/2} + ${valX} ${f.box[1]}, + ${valX} ${f.box[1] + f.box[3]}, + ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]} + `); + const pathH = new Path2D(` + M ${f.box[0]} ${f.box[1] + f.box[3] / 2} C - ${e.box[0]} ${s}, - ${e.box[0]+e.box[2]} ${s}, - ${e.box[0]+e.box[2]} ${e.box[1]+e.box[3]/2} - `);t.stroke(a),t.stroke(A)}}function Xr(e,t){var n;if(B.drawGaze&&((n=e.rotation)!=null&&n.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let o=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];mt(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[o[0],o[1]],4);let s=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];mt(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[s[0],s[1]],4)}}function qr(e,t){if(B.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let n=0;ne.mesh[s]);ft(t,o,B)}Vr(e,t)}}function Ur(e,t){if(B.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let n=0;n0&&(Ur(s,o),qr(s,o),Zr(s,o),Xr(s,o))}}function g2(e,t,n){var A,a;let o=Q(n0,n);if(!t||!e)return;let s=O0(e);if(s){s.lineJoin="round";for(let i=0;i0)){let c=o.bodyLabels.slice();c=H(c,"[id]",t[i].id.toFixed(0)),c=H(c,"[score]",100*t[i].score),C0(s,c,t[i].box[0],t[i].box[1],o)}if(o.drawPoints&&t[i].keypoints)for(let c=0;c0&&t[i].keypoints){s.font=o.font;for(let c of t[i].keypoints){if(!c.score||c.score===0)continue;let d=o.bodyPartLabels.slice();d=H(d,"[label]",c.part),d=H(d,"[score]",100*c.score),C0(s,d,c.position[0],c.position[1],o)}}if(o.drawPolygons&&t[i].keypoints&&t[i].annotations)for(let c of Object.values(t[i].annotations))for(let d of c)a1(s,d,o)}}}function T2(e,t,n){var A,a;let o=Q(n0,n);if(!t||!e)return;let s=O0(e);if(s){s.lineJoin="round",s.font=o.font;for(let i of t){if(o.drawBoxes){if(s.strokeStyle=o.color,s.fillStyle=o.color,Y0(s,i.box[0],i.box[1],i.box[2],i.box[3],o),o.drawLabels&&((A=o.handLabels)==null?void 0:A.length)>0){let c=o.handLabels.slice();c=H(c,"[id]",i.id.toFixed(0)),c=H(c,"[label]",i.label),c=H(c,"[score]",100*i.score),C0(s,c,i.box[0],i.box[1],o)}s.stroke()}if(o.drawPoints&&i.keypoints&&i.keypoints.length>0)for(let c of i.keypoints)s.fillStyle=Te(c[2],o),U0(s,c[0],c[1],0,o);if(o.drawLabels&&i.annotations&&((a=o.fingerLabels)==null?void 0:a.length)>0)for(let[c,d]of Object.entries(i.annotations)){let y=o.fingerLabels.slice();y=H(y,"[label]",c),C0(s,y,d[d.length-1][0],d[d.length-1][1],o)}if(o.drawPolygons&&i.annotations){let c=d=>{if(!(!d||d.length===0||!d[0]))for(let y=0;y0?y-1:0][0],d[y>0?y-1:0][1]),s.lineTo(d[y][0],d[y][1]),s.stroke()}};s.lineWidth=o.lineWidth,c(i.annotations.index),c(i.annotations.middle),c(i.annotations.ring),c(i.annotations.pinky),c(i.annotations.thumb)}}}}function v2(e,t,n){var A;let o=Q(n0,n);if(!t||!e)return;let s=O0(e);if(s){s.lineJoin="round",s.font=o.font;for(let a of t)if(o.drawBoxes){if(s.strokeStyle=o.color,s.fillStyle=o.color,Y0(s,a.box[0],a.box[1],a.box[2],a.box[3],o),o.drawLabels&&((A=o.objectLabels)==null?void 0:A.length)>0){let i=o.objectLabels.slice();i=H(i,"[id]",a.id.toFixed(0)),i=H(i,"[label]",a.label),i=H(i,"[score]",100*a.score),C0(s,i,a.box[0],a.box[1],o)}s.stroke()}}}function R2(e,t,n){var s;let o=Q(n0,n);if(!(!t||!e)&&o.drawGestures&&((s=o.gestureLabels)==null?void 0:s.length)>0){let A=O0(e);if(!A)return;A.font=o.font,A.fillStyle=o.color;let a=1;for(let i=0;i1&&d[1].length>0){let y=c[1]>0?`#${c[1]}`:"",l=o.gestureLabels.slice();l=H(l,"[where]",c[0]),l=H(l,"[who]",y),l=H(l,"[what]",d[1]),C0(A,l,8,2+a*o.lineHeight,o),a+=1}}}}var Ae={face:`face + ${f.box[0]} ${valY}, + ${f.box[0] + f.box[2]} ${valY}, + ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2} + `); + ctx.stroke(pathH); + ctx.stroke(pathV); + } +} +function drawGazeArrows(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.gaze.strength) && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) { + ctx.strokeStyle = "pink"; + ctx.fillStyle = "pink"; + const leftGaze = [ + f.annotations.leftEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.leftEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4); + const rightGaze = [ + f.annotations.rightEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.rightEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4); + } +} +function drawFacePolygons(f, ctx) { + if (localOptions.drawPolygons && f.mesh.length >= 468) { + ctx.lineWidth = 1; + for (let i = 0; i < TRI468.length / 3; i++) { + const points = [TRI468[i * 3 + 0], TRI468[i * 3 + 1], TRI468[i * 3 + 2]].map((index2) => f.mesh[index2]); + lines(ctx, points, localOptions); + } + drawIrisElipse(f, ctx); + } +} +function drawFacePoints(f, ctx) { + if (localOptions.drawPoints) { + if ((f == null ? void 0 : f.mesh.length) >= 468) { + for (let i = 0; i < f.mesh.length; i++) { + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions); + if (localOptions.drawAttention) { + if (LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] + 127, localOptions); + if (LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + if (LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + } + } + } else { + for (const [k, v] of Object.entries((f == null ? void 0 : f.annotations) || {})) { + if (!(v == null ? void 0 : v[0])) + continue; + const pt = v[0]; + point(ctx, pt[0], pt[1], 0, localOptions); + if (localOptions.drawLabels) + labels(ctx, k, pt[0], pt[1], localOptions); + } + } + } +} +function drawFaceBoxes(f, ctx) { + if (localOptions.drawBoxes) { + rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions); + } +} +function face(inCanvas2, result, drawOptions) { + localOptions = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions.font; + ctx.strokeStyle = localOptions.color; + ctx.fillStyle = localOptions.color; + for (const f of result) { + drawFaceBoxes(f, ctx); + drawLabels(f, ctx); + if (f.mesh && f.mesh.length > 0) { + drawFacePoints(f, ctx); + drawFacePolygons(f, ctx); + drawGazeSpheres(f, ctx); + drawGazeArrows(f, ctx); + } + } +} + +// src/draw/body.ts +function body(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + for (let i = 0; i < result.length; i++) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + ctx.lineWidth = localOptions2.lineWidth; + ctx.font = localOptions2.font; + if (localOptions2.drawBoxes && result[i].box && result[i].box.length === 4) { + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.bodyLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.bodyLabels.slice(); + l = replace(l, "[id]", result[i].id.toFixed(0)); + l = replace(l, "[score]", 100 * result[i].score); + labels(ctx, l, result[i].box[0], result[i].box[1], localOptions2); + } + } + if (localOptions2.drawPoints && result[i].keypoints) { + for (let pt = 0; pt < result[i].keypoints.length; pt++) { + if (!result[i].keypoints[pt].score || result[i].keypoints[pt].score === 0) + continue; + ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions2); + point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions2); + } + } + if (localOptions2.drawLabels && ((_b = localOptions2.bodyPartLabels) == null ? void 0 : _b.length) > 0 && result[i].keypoints) { + ctx.font = localOptions2.font; + for (const pt of result[i].keypoints) { + if (!pt.score || pt.score === 0) + continue; + let l = localOptions2.bodyPartLabels.slice(); + l = replace(l, "[label]", pt.part); + l = replace(l, "[score]", 100 * pt.score); + labels(ctx, l, pt.position[0], pt.position[1], localOptions2); + } + } + if (localOptions2.drawPolygons && result[i].keypoints && result[i].annotations) { + for (const part of Object.values(result[i].annotations)) { + for (const connected4 of part) + curves(ctx, connected4, localOptions2); + } + } + } +} + +// src/draw/hand.ts +function hand(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.handLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.handLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + if (localOptions2.drawPoints) { + if (h.keypoints && h.keypoints.length > 0) { + for (const pt of h.keypoints) { + ctx.fillStyle = colorDepth(pt[2], localOptions2); + point(ctx, pt[0], pt[1], 0, localOptions2); + } + } + } + if (localOptions2.drawLabels && h.annotations && ((_b = localOptions2.fingerLabels) == null ? void 0 : _b.length) > 0) { + for (const [part, pt] of Object.entries(h.annotations)) { + let l = localOptions2.fingerLabels.slice(); + l = replace(l, "[label]", part); + labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions2); + } + } + if (localOptions2.drawPolygons && h.annotations) { + const addHandLine = (part) => { + if (!part || part.length === 0 || !part[0]) + return; + for (let i = 0; i < part.length; i++) { + ctx.beginPath(); + const z = part[i][2] || 0; + ctx.strokeStyle = colorDepth(i * z, localOptions2); + ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]); + ctx.lineTo(part[i][0], part[i][1]); + ctx.stroke(); + } + }; + ctx.lineWidth = localOptions2.lineWidth; + addHandLine(h.annotations.index); + addHandLine(h.annotations.middle); + addHandLine(h.annotations.ring); + addHandLine(h.annotations.pinky); + addHandLine(h.annotations.thumb); + } + } +} + +// src/draw/object.ts +function object(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.objectLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.objectLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + } +} + +// src/draw/gesture.ts +function gesture(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + if (localOptions2.drawGestures && ((_a = localOptions2.gestureLabels) == null ? void 0 : _a.length) > 0) { + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions2.font; + ctx.fillStyle = localOptions2.color; + let i = 1; + for (let j = 0; j < result.length; j++) { + const [where, what] = Object.entries(result[j]); + if (what.length > 1 && what[1].length > 0) { + const who = where[1] > 0 ? `#${where[1]}` : ""; + let l = localOptions2.gestureLabels.slice(); + l = replace(l, "[where]", where[0]); + l = replace(l, "[who]", who); + l = replace(l, "[what]", what[1]); + labels(ctx, l, 8, 2 + i * localOptions2.lineHeight, localOptions2); + i += 1; + } + } + } +} + +// src/draw/labels.ts +var defaultLabels = { + face: `face confidence: [score]% [gender] [genderScore]% age: [age] years @@ -118,7 +6556,7665 @@ var at=Object.defineProperty;var Kn=Object.getOwnPropertyDescriptor;var Jn=Objec live: [live]% [emotions] roll: [roll]\xB0 yaw:[yaw]\xB0 pitch:[pitch]\xB0 - gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var bt=0;function Kr(e,t,n){let o=Q(n0,n);if(!t||!e)return;let s=O0(e);if(s){s.lineJoin="round",s.font=o.font;for(let A=0;ARt,kpt:()=>vt});var vt=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Rt={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var W0,ke=224,c1,_r=5,P2=[8,16,32,32,32];function $r(){let e=[],t=0;for(;t<_r;){let n=0,o=t;for(;on.x)),y:r.tensor1d(e.map(n=>n.y))}}async function d1(e){if(P.initial&&(W0=null),!W0&&e.body.detector&&e.body.detector.modelPath){W0=await L(e.body.detector.modelPath);let t=W0!=null&&W0.executor?Object.values(W0.modelSignature.inputs):void 0;ke=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&W0&&b("cached model:",W0.modelUrl);return $r(),W0}var l1=[5,5];function es(e,t){return r.tidy(()=>{let n=r.split(e,12,1),o=r.squeeze(n[0]),s=r.squeeze(n[1]),A=r.squeeze(n[2]),a=r.squeeze(n[3]);o=r.add(r.div(o,ke),t.x),s=r.add(r.div(s,ke),t.y),A=r.mul(r.div(A,ke),l1[0]),a=r.mul(r.div(a,ke),l1[1]);let i=r.sub(o,r.div(A,2)),c=r.sub(s,r.div(a,2)),d=r.add(i,A),y=r.add(c,a);return r.stack([i,c,d,y],1)})}async function ts(e,t,n,o){var d,y;let s=[],A={};A.boxes=es(e,c1),A.scores=r.sigmoid(t),A.nms=await r.image.nonMaxSuppressionAsync(A.boxes,A.scores,1,((d=n.body.detector)==null?void 0:d.minConfidence)||.1,((y=n.body.detector)==null?void 0:y.iouThreshold)||.1);let a=await A.nms.data(),i=await A.scores.data(),c=await A.boxes.array();for(let l of Array.from(a)){let m=i[l],x=c[l],p=[Math.round(x[0]*o[0]),Math.round(x[1]*o[1]),Math.round(x[2]*o[0]),Math.round(x[3]*o[1])],f={score:m,boxRaw:x,box:p};s.push(f)}return Object.keys(A).forEach(l=>r.dispose(A[l])),s}async function x1(e,t,n){let o={};o.res=W0==null?void 0:W0.execute(e,["Identity"]),o.logitsRaw=r.slice(o.res,[0,0,0],[1,-1,1]),o.boxesRaw=r.slice(o.res,[0,0,1],[1,-1,-1]),o.logits=r.squeeze(o.logitsRaw),o.boxes=r.squeeze(o.boxesRaw);let s=await ts(o.boxes,o.logits,t,n);return Object.keys(o).forEach(A=>r.dispose(o[A])),s}function ae(e,t=[1,1]){let n=[e.map(i=>i[0]),e.map(i=>i[1])],o=[Math.min(...n[0]),Math.min(...n[1])],s=[Math.max(...n[0]),Math.max(...n[1])],A=[o[0],o[1],s[0]-o[0],s[1]-o[1]],a=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:a}}function y1(e,t=[1,1]){let n=[e.map(d=>d[0]),e.map(d=>d[1])],o=[Math.min(...n[0]),Math.min(...n[1])],s=[Math.max(...n[0]),Math.max(...n[1])],A=[(o[0]+s[0])/2,(o[1]+s[1])/2],a=Math.max(A[0]-o[0],A[1]-o[1],-A[0]+s[0],-A[1]+s[1]),i=[Math.trunc(A[0]-a),Math.trunc(A[1]-a),Math.trunc(2*a),Math.trunc(2*a)],c=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:c}}function k2(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var P0,Pt=256,Mt=Number.MAX_SAFE_INTEGER,ns={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},E2=[],ie=[[0,0],[0,0],[0,0],[0,0]],f1=0,m1=e=>1-1/(1+Math.exp(e)),u1=e=>d1(e);async function h1(e){if(P.initial&&(P0=null),P0)e.debug&&b("cached model:",P0.modelUrl);else{P0=await L(e.body.modelPath);let t=P0!=null&&P0.executor?Object.values(P0.modelSignature.inputs):void 0;Pt=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return P0}function p1(e,t,n){var A,a;let o={};if(!((A=e==null?void 0:e.shape)!=null&&A[1])||!((a=e==null?void 0:e.shape)!=null&&a[2]))return e;let s;if(n&&(o.cropped=r.image.cropAndResize(e,[n],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let i=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],c=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];ie=[[0,0],i,c,[0,0]],o.pad=r.pad(o.cropped||e,ie),o.resize=r.image.resizeBilinear(o.pad,[t,t]),s=r.div(o.resize,O.tf255)}else e.shape[1]!==t?(o.resize=r.image.resizeBilinear(o.cropped||e,[t,t]),s=r.div(o.resize,O.tf255)):s=r.div(o.cropped||e,O.tf255);return Object.keys(o).forEach(i=>r.dispose(o[i])),s}function os(e,t,n){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+ie[2][0]+ie[2][1])/t[0]-ie[2][0]),Math.trunc(o.position[1]*(t[1]+ie[1][0]+ie[1][1])/t[1]-ie[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(n){let o=n[2]-n[0],s=n[3]-n[1];for(let A of e)A.positionRaw=[A.positionRaw[0]/s+n[1],A.positionRaw[1]/o+n[0],A.positionRaw[2]],A.position=[Math.trunc(A.positionRaw[0]*t[0]),Math.trunc(A.positionRaw[1]*t[1]),A.positionRaw[2]]}return e}function rs(e){let t=e.find(i=>i.part==="leftPalm"),n=e.find(i=>i.part==="leftWrist"),o=e.find(i=>i.part==="leftIndex");t.position[2]=((n.position[2]||0)+(o.position[2]||0))/2;let s=e.find(i=>i.part==="rightPalm"),A=e.find(i=>i.part==="rightWrist"),a=e.find(i=>i.part==="rightIndex");s.position[2]=((A.position[2]||0)+(a.position[2]||0))/2}async function ss(e,t,n){if(!(P0!=null&&P0.executor))return null;let o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=P0==null?void 0:P0.execute(e,ns.landmarks);let s=(await o.poseflag.data())[0],A=await o.ld.data(),a=await o.world.data();Object.keys(o).forEach(p=>r.dispose(o[p]));let i=[],c=5;for(let p=0;pp.position),l=ae(y,[n[0],n[1]]),m={};for(let[p,f]of Object.entries(Rt)){let h=[];for(let v=0;vg.part===f[v]),u=d.find(g=>g.part===f[v+1]);T&&u&&h.push([T.position,u.position])}m[p]=h}return{id:0,score:Math.trunc(100*s)/100,box:l.box,boxRaw:l.boxRaw,keypoints:d,annotations:m}}async function kt(e,t){var A,a,i;let n=[e.shape[2]||0,e.shape[1]||0],o=(t.body.skipTime||0)>R()-f1,s=Mt<(t.body.skipFrames||0);if(t.skipAllowed&&o&&s&&E2!==null)Mt++;else{let c=[];if((a=(A=t.body)==null?void 0:A.detector)!=null&&a.enabled){let d=p1(e,224);c=await x1(d,t,n),r.dispose(d)}else c=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let d=0;dr.dispose(o[d])),s}async function zt(e,t){if(!(k0!=null&&k0.executor))return[];let n=(t.object.skipTime||0)>R()-g1,o=Et<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&wt.length>0?(Et++,wt):(Et=0,new Promise(async s=>{let A=[e.shape[2]||0,e.shape[1]||0],a=r.image.resizeBilinear(e,[we,we]),i=t.object.enabled?k0==null?void 0:k0.execute(a,["tower_0/detections"]):null;g1=R(),r.dispose(a);let c=await As(i,A,t);wt=c,s(c)}))}var z2={};oe(z2,{connected:()=>jt,kpt:()=>St});var St=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],jt={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var _,R1=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},It=Number.MAX_SAFE_INTEGER;async function M1(e){return P.initial&&(_=null),_?e.debug&&b("cached model:",_.modelUrl):_=await L(e.body.modelPath),_}async function as(e,t){let[n,o]=e.shape,s=r.reshape(e,[o*n]),A=r.max(s,0),a=(await A.data())[0];if(a>t){let i=r.argMax(s,0),c=r.mod(i,n),d=(await c.data())[0],y=r.div(i,n),l=(await y.data())[0];return r.dispose([s,A,i,c,y]),[d,l,a]}return r.dispose([s,A]),[0,0,a]}async function Nt(e,t){if(!(_!=null&&_.executor)||!(_!=null&&_.inputs[0].shape))return[];let n=(t.body.skipTime||0)>R()-R1,o=It<(t.body.skipFrames||0);return t.skipAllowed&&n&&o&&Object.keys(v0.keypoints).length>0?(It++,[v0]):(It=0,new Promise(async s=>{let A=r.tidy(()=>{var p,f;let l=r.image.resizeBilinear(e,[((p=_==null?void 0:_.inputs[0].shape)==null?void 0:p[2])||0,((f=_==null?void 0:_.inputs[0].shape)==null?void 0:f[1])||0],!1),m=r.mul(l,O.tf2);return r.sub(m,O.tf1)}),a;if(t.body.enabled&&(a=_==null?void 0:_.execute(A)),R1=R(),r.dispose(A),a){v0.keypoints.length=0;let l=r.squeeze(a);r.dispose(a);let m=r.unstack(l,2);r.dispose(l);for(let x=0;x(t.body.minConfidence||0)&&v0.keypoints.push({score:Math.round(100*h)/100,part:St[x],positionRaw:[p/_.inputs[0].shape[2],f/_.inputs[0].shape[1]],position:[Math.round(e.shape[2]*p/_.inputs[0].shape[2]),Math.round(e.shape[1]*f/_.inputs[0].shape[1])]})}m.forEach(x=>r.dispose(x))}v0.score=v0.keypoints.reduce((l,m)=>m.score>l?m.score:l,0);let i=v0.keypoints.map(l=>l.position[0]),c=v0.keypoints.map(l=>l.position[1]);v0.box=[Math.min(...i),Math.min(...c),Math.max(...i)-Math.min(...i),Math.max(...c)-Math.min(...c)];let d=v0.keypoints.map(l=>l.positionRaw[0]),y=v0.keypoints.map(l=>l.positionRaw[1]);v0.boxRaw=[Math.min(...d),Math.min(...y),Math.max(...d)-Math.min(...d),Math.max(...y)-Math.min(...y)];for(let[l,m]of Object.entries(jt)){let x=[];for(let p=0;pv.part===m[p]),h=v0.keypoints.find(v=>v.part===m[p+1]);f&&h&&f.score>(t.body.minConfidence||0)&&h.score>(t.body.minConfidence||0)&&x.push([f.position,h.position])}v0.annotations[l]=x}s([v0])}))}var Fe=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],S2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],j2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],I2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],E1=(e,t,n)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],s=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],A=e.landmarks.map(a=>[(a[0]+n[0])*t[0],(a[1]+n[1])*t[1]]);return{startPoint:o,endPoint:s,landmarks:A,confidence:e.confidence}},Lt=(e,t,n)=>{let o=t.shape[1],s=t.shape[2],A=[e.startPoint[1]/o,e.startPoint[0]/s,e.endPoint[1]/o,e.endPoint[0]/s],a=r.image.cropAndResize(t,[A],[0],n),i=r.div(a,O.tf255);return r.dispose(a),i},N2=(e,t)=>{let n=S2(e),o=Fe(e),s=[t*o[0]/2,t*o[1]/2];return{startPoint:[n[0]-s[0],n[1]-s[1]],endPoint:[n[0]+s[0],n[1]+s[1]],landmarks:e.landmarks,confidence:e.confidence,size:o}},L2=e=>{let t=S2(e),n=Fe(e),o=Math.max(...n)/2;return{startPoint:[Math.round(t[0]-o),Math.round(t[1]-o)],endPoint:[Math.round(t[0]+o),Math.round(t[1]+o)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(n[0]),Math.round(n[1])]}},z1=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return{startPoint:[Math.min(...t),Math.min(...n)],endPoint:[Math.max(...t),Math.max(...n)],landmarks:e}},Ot=[[1,0,0],[0,1,0],[0,0,1]],is=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),ls=(e,t)=>is(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var k1=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ee=(e,t)=>{let n=0;for(let o=0;o{let n=[];for(let o=0;o{let n=[],o=e.length;for(let s=0;s{let n=Math.cos(e),o=Math.sin(e),s=[[n,-o,0],[o,n,0],[0,0,1]],A=k1(t[0],t[1]),a=w1(A,s),i=k1(-t[0],-t[1]);return w1(a,i)},ds=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Ee(t[0],n),-Ee(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]},xs=(e,t)=>[Ee(e,t[0]),Ee(e,t[1])];function j1(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o[A[0]/s*(x[0]-s/2),A[1]/s*(x[1]-s/2),x[2]||0]),i=n&&n!==0&&Math.abs(n)>.2,c=i?S1(n,[0,0]):Ot,d=i?a.map(x=>[...xs(x,c),x[2]]):a,y=i?ds(o):Ot,l=S2(t),m=[Ee(l,y[0]),Ee(l,y[1])];return d.map(x=>[Math.trunc(x[0]+m[0]),Math.trunc(x[1]+m[1]),Math.trunc(x[2]||0)])}function N1(e,t,n,o){let s=t.landmarks.length>=pt.count?pt.symmetryLine:ve.symmetryLine,A=0,a=Ot,i;if(e&&P.kernels.includes("rotatewithoffset"))if(A=ls(t.landmarks[s[0]],t.landmarks[s[1]]),A&&A!==0&&Math.abs(A)>.2){let d=S2(t),y=[d[0]/n.shape[2],d[1]/n.shape[1]],l=r.image.rotateWithOffset(n,A,0,[y[0],y[1]]);a=S1(-A,d),i=Lt(t,l,[o,o]),r.dispose(l)}else i=Lt(t,n,[o,o]);else i=Lt(t,n,[o,o]);return[A,a,i]}var ys=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},L1=(e,t)=>{let n=ys(e),o=Fe(t);return{startPoint:[n[0]-o[0]/2,n[1]-o[1]/2],endPoint:[n[0]+o[0]/2,n[1]+o[1]/2]}};var O1=6,fs=1.4,G0,O2=null,le=0,Be=null,C1=()=>le;async function W1(e){var t;return P.initial&&(G0=null),G0?e.debug&&b("cached model:",G0.modelUrl):G0=await L((t=e.face.detector)==null?void 0:t.modelPath),le=G0.executor&&G0.inputs[0].shape?G0.inputs[0].shape[2]:256,Be=r.scalar(le,"int32"),O2=r.tensor2d(j1(le)),G0}function ms(e){if(!O2||!Be)return r.zeros([0,0]);let t={};t.boxStarts=r.slice(e,[0,1],[-1,2]),t.centers=r.add(t.boxStarts,O2),t.boxSizes=r.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=r.div(t.boxSizes,Be),t.centersNormalized=r.div(t.centers,Be),t.halfBoxSize=r.div(t.boxSizesNormalized,O.tf2),t.starts=r.sub(t.centersNormalized,t.halfBoxSize),t.ends=r.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=r.mul(t.starts,Be),t.endNormalized=r.mul(t.ends,Be);let n=r.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>r.dispose(t[o])),n}async function D1(e,t){var i,c,d,y,l,m;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=r.image.resizeBilinear(e,[le,le]),n.div=r.div(n.resized,O.tf127),n.normalized=r.sub(n.div,O.tf05);let o=G0==null?void 0:G0.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let x=o.sort((p,f)=>p.size-f.size);n.concat384=r.concat([x[0],x[2]],2),n.concat512=r.concat([x[1],x[3]],2),n.concat=r.concat([n.concat512,n.concat384],1),n.batch=r.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=r.squeeze(o[0]):n.batch=r.squeeze(o);r.dispose(o),n.boxes=ms(n.batch),n.logits=r.slice(n.batch,[0,0],[-1,1]),n.sigmoid=r.sigmoid(n.logits),n.scores=r.squeeze(n.sigmoid),n.nms=await r.image.nonMaxSuppressionAsync(n.boxes,n.scores,((i=t.face.detector)==null?void 0:i.maxDetected)||0,((c=t.face.detector)==null?void 0:c.iouThreshold)||0,((d=t.face.detector)==null?void 0:d.minConfidence)||0);let s=await n.nms.array(),A=[],a=await n.scores.data();for(let x=0;x(((y=t.face.detector)==null?void 0:y.minConfidence)||0)){let f={};f.bbox=r.slice(n.boxes,[s[x],0],[1,-1]),f.slice=r.slice(n.batch,[s[x],O1-1],[1,-1]),f.squeeze=r.squeeze(f.slice),f.landmarks=r.reshape(f.squeeze,[O1,-1]);let h=await f.bbox.data(),v={startPoint:[h[0],h[1]],endPoint:[h[2],h[3]],landmarks:await f.landmarks.array(),confidence:p};f.anchor=r.slice(O2,[s[x],0],[1,2]);let T=await f.anchor.data(),u=E1(v,[(e.shape[2]||0)/le,(e.shape[1]||0)/le],T),g=N2(u,t.face.scale||fs),w=L2(g);w.size[0]>(((l=t.face.detector)==null?void 0:l.minSize)||0)&&w.size[1]>(((m=t.face.detector)==null?void 0:m.minSize)||0)&&A.push(w),Object.keys(f).forEach(k=>r.dispose(f[k]))}}return Object.keys(n).forEach(x=>r.dispose(n[x])),A}var z0,ce=0,ps=2.3,Wt=F0.leftEyeLower0,Dt=F0.rightEyeLower0,He={leftBounds:[Wt[0],Wt[Wt.length-1]],rightBounds:[Dt[0],Dt[Dt.length-1]]},Ge={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function V1(e){var t,n;return P.initial&&(z0=null),z0?e.debug&&b("cached model:",z0.modelUrl):z0=await L((t=e.face.iris)==null?void 0:t.modelPath),ce=z0!=null&&z0.executor&&((n=z0.inputs)!=null&&n[0].shape)?z0.inputs[0].shape[2]:0,ce===-1&&(ce=64),z0}function C2(e,t,n,o){for(let s=0;s{let t=e[He.leftBounds[0]][2],n=e[He.rightBounds[0]][2];return t-n},B1=(e,t,n,o,s,A=!1)=>{let a=L2(N2(z1([e[n],e[o]]),ps)),i=Fe(a),c=r.image.cropAndResize(t,[[a.startPoint[1]/s,a.startPoint[0]/s,a.endPoint[1]/s,a.endPoint[0]/s]],[0],[ce,ce]);if(A&&P.kernels.includes("flipleftright")){let d=r.image.flipLeftRight(c);r.dispose(c),c=d}return{box:a,boxSize:i,crop:c}},H1=(e,t,n,o=!1)=>{let s=[];for(let A=0;A{let o=e[F0[`${n}EyeUpper0`][Ge.upperCenter]][2],s=e[F0[`${n}EyeLower0`][Ge.lowerCenter]][2],A=(o+s)/2;return t.map((a,i)=>{let c=A;return i===2?c=o:i===4&&(c=s),[a[0],a[1],c]})};async function Z1(e,t,n){if(!(z0!=null&&z0.executor))return e;let{box:o,boxSize:s,crop:A}=B1(e,t,He.leftBounds[0],He.leftBounds[1],n,!0),{box:a,boxSize:i,crop:c}=B1(e,t,He.rightBounds[0],He.rightBounds[1],n,!0),d=r.concat([A,c]);r.dispose(A),r.dispose(c);let y=z0.execute(d);r.dispose(d);let l=await y.data();r.dispose(y);let m=l.slice(0,Ge.numCoordinates*3),{rawCoords:x,iris:p}=H1(m,o,s,!0),f=l.slice(Ge.numCoordinates*3),{rawCoords:h,iris:v}=H1(f,a,i,!1),T=us(e);Math.abs(T)<30?(C2(e,x,"left",null),C2(e,h,"right",null)):T<1?C2(e,x,"left",["EyeUpper0","EyeLower0"]):C2(e,h,"right",["EyeUpper0","EyeLower0"]);let u=G1(e,p,"left"),g=G1(e,v,"right");return e.concat(u).concat(g)}async function q1(e,t){var A,a,i,c,d,y,l,m,x,p;let n={lips:await((a=(A=t.filter(f=>f.size===160))==null?void 0:A[0])==null?void 0:a.data()),irisL:await((c=(i=t.filter(f=>f.size===10))==null?void 0:i[0])==null?void 0:c.data()),eyeL:await((y=(d=t.filter(f=>f.size===142))==null?void 0:d[0])==null?void 0:y.data()),irisR:await((m=(l=t.filter(f=>f.size===10))==null?void 0:l[1])==null?void 0:m.data()),eyeR:await((p=(x=t.filter(f=>f.size===142))==null?void 0:x[1])==null?void 0:p.data())};for(let f of Object.values(n))if(!f)return e;let o=Me.reduce((f,h)=>f+=e[h][2],0)/Me.length;for(let f=0;ff+=e[h][2],0)/Pe.length;for(let f=0;fR()-K0.timestamp,o=K0.skipped<(((d=t.face.detector)==null?void 0:d.skipFrames)||0);!t.skipAllowed||!n||!o||K0.boxes.length===0?(K0.boxes=await D1(e,t),K0.timestamp=R(),K0.skipped=0):K0.skipped++;let s=[],A=[],a=0,i=o2;for(let T=0;T[N[0]/(e.shape[2]||0),N[1]/(e.shape[1]||0),(N[2]||0)/i]);for(let N of Object.keys(ve))k.annotations[N]=[k.mesh[ve[N]]]}else if(!K)t.debug&&b("face mesh detection requested, but model is not loaded");else{if((x=t.face.attention)!=null&&x.enabled&&!P.kernels.includes("atan2"))return t.face.attention.enabled=!1,r.dispose(k.tensor),s;let N=K.execute(k.tensor),V=await N.find(D=>D.shape[D.shape.length-1]===1).data();if(k.faceScore=Math.round(100*V[0])/100,k.faceScore<(((p=t.face.detector)==null?void 0:p.minConfidence)||1)){if(u.confidence=k.faceScore,t.face.mesh.keepInvalid){k.box=j2(u,e),k.boxRaw=I2(u,e),k.score=k.boxScore,k.mesh=u.landmarks,k.meshRaw=k.mesh.map(D=>[D[0]/(e.shape[2]||1),D[1]/(e.shape[1]||1),(D[2]||0)/i]);for(let D of Object.keys(ve))k.annotations[D]=[k.mesh[ve[D]]]}}else{let D=N.find(q=>q.shape[q.shape.length-1]===1404),Z=r.reshape(D,[-1,3]),J=await Z.array();r.dispose(Z),(f=t.face.attention)!=null&&f.enabled?J=await q1(J,N):(h=t.face.iris)!=null&&h.enabled&&(J=await Z1(J,k.tensor,o2)),k.mesh=I1(J,u,g,w,o2),k.meshRaw=k.mesh.map(q=>[q[0]/(e.shape[2]||0),q[1]/(e.shape[1]||0),(q[2]||0)/i]);for(let q of Object.keys(F0))k.annotations[q]=F0[q].map(m0=>k.mesh[m0]);k.score=k.faceScore;let U={...L1(k.mesh,u),confidence:u.confidence,landmarks:u.landmarks,size:u.size};k.box=j2(U,e),k.boxRaw=I2(U,e),A.push(U)}r.dispose(N)}k.score>(((v=t.face.detector)==null?void 0:v.minConfidence)||1)?s.push(k):r.dispose(k.tensor)}return K0.boxes=A,s}async function Y1(e){var t,n,o,s,A,a;return P.initial&&(K=null),(t=e.face.attention)!=null&&t.enabled&&(K!=null&&K.signature)&&Object.keys(((n=K==null?void 0:K.signature)==null?void 0:n.outputs)||{}).length<6&&(K=null),K?e.debug&&b("cached model:",K.modelUrl):(o=e.face.attention)!=null&&o.enabled?K=await L(e.face.attention.modelPath):K=await L((s=e.face.mesh)==null?void 0:s.modelPath),o2=K.executor&&((A=K==null?void 0:K.inputs)!=null&&A[0].shape)?(a=K==null?void 0:K.inputs)==null?void 0:a[0].shape[2]:256,K}var K1=Re,J1=t2;var Ht=[],d0,W2=[],Q1=0,_1=0,Bt=Number.MAX_SAFE_INTEGER,Gt=!1;async function $1(e){var t,n,o;return P.initial&&(d0=null),d0?e.debug&&b("cached model:",d0.modelUrl):(d0=await L((t=e.face.emotion)==null?void 0:t.modelPath),Gt=((o=(n=d0==null?void 0:d0.inputs)==null?void 0:n[0].shape)==null?void 0:o[3])===3,Gt?Ht=["angry","disgust","fear","happy","neutral","sad","surprise"]:Ht=["angry","disgust","fear","happy","sad","surprise","neutral"]),d0}async function Vt(e,t,n,o){var a,i;if(!d0)return[];let s=Bt<(((a=t.face.emotion)==null?void 0:a.skipFrames)||0),A=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>R()-_1;return t.skipAllowed&&A&&s&&Q1===o&&W2[n]&&W2[n].length>0?(Bt++,W2[n]):(Bt=0,new Promise(async c=>{var y,l,m;let d=[];if((y=t.face.emotion)!=null&&y.enabled){let x={},p=d0!=null&&d0.inputs[0].shape?d0.inputs[0].shape[2]:0;if(((l=t.face.emotion)==null?void 0:l.crop)>0){let h=(m=t.face.emotion)==null?void 0:m.crop,v=[[h,h,1-h,1-h]];x.resize=r.image.cropAndResize(e,v,[0],[p,p])}else x.resize=r.image.resizeBilinear(e,[p,p],!1);Gt?(x.mul=r.mul(x.resize,255),x.normalize=r.sub(x.mul,[103.939,116.779,123.68]),x.emotion=d0==null?void 0:d0.execute(x.normalize)):(x.channels=r.mul(x.resize,O.rgb),x.grayscale=r.sum(x.channels,3,!0),x.grayscaleSub=r.sub(x.grayscale,O.tf05),x.grayscaleMul=r.mul(x.grayscaleSub,O.tf2),x.emotion=d0==null?void 0:d0.execute(x.grayscaleMul)),_1=R();let f=await x.emotion.data();for(let h=0;h(t.face.emotion.minConfidence||0)&&d.push({score:Math.min(.99,Math.trunc(100*f[h])/100),emotion:Ht[h]});d.sort((h,v)=>v.score-h.score),Object.keys(x).forEach(h=>r.dispose(x[h]))}W2[n]=d,Q1=o,c(d)}))}var x0,de=[],t3=0,n3=0,Zt=Number.MAX_SAFE_INTEGER;async function o3(e){var t;return P.initial&&(x0=null),x0?e.debug&&b("cached model:",x0.modelUrl):x0=await L((t=e.face.description)==null?void 0:t.modelPath),x0}function bs(e,t){var A,a;let n=e.image||e.tensor||e;if(!(x0!=null&&x0.inputs[0].shape))return n;let o;if(((A=t.face.description)==null?void 0:A.crop)>0){let i=(a=t.face.description)==null?void 0:a.crop,c=[[i,i,1-i,1-i]];o=r.image.cropAndResize(n,c,[0],[x0.inputs[0].shape[2],x0.inputs[0].shape[1]])}else o=r.image.resizeBilinear(n,[x0.inputs[0].shape[2],x0.inputs[0].shape[1]],!1);let s=r.mul(o,O.tf255);return r.dispose(o),s}async function Xt(e,t,n,o){var i,c,d,y;let s={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(x0!=null&&x0.executor))return s;let A=Zt<(((i=t.face.description)==null?void 0:i.skipFrames)||0),a=(((c=t.face.description)==null?void 0:c.skipTime)||0)>R()-t3;return t.skipAllowed&&A&&a&&n3===o&&((d=de==null?void 0:de[n])==null?void 0:d.age)>0&&((y=de==null?void 0:de[n])==null?void 0:y.genderScore)>0?(Zt++,de[n]):(Zt=0,new Promise(async l=>{var m;if((m=t.face.description)!=null&&m.enabled){let x=bs(e,t),p=x0==null?void 0:x0.execute(x);t3=R(),r.dispose(x);let h=await p.find(W=>W.shape[1]===1).data(),v=Math.trunc(200*Math.abs(h[0]-.5))/100;v>(t.face.description.minConfidence||0)&&(s.gender=h[0]<=.5?"female":"male",s.genderScore=Math.min(.99,v));let T=r.argMax(p.find(W=>W.shape[1]===100),1),u=(await T.data())[0];r.dispose(T);let w=await p.find(W=>W.shape[1]===100).data();s.age=Math.round(w[u-1]>w[u+1]?10*u-100*w[u-1]:10*u+100*w[u+1])/10,(Number.isNaN(h[0])||Number.isNaN(w[0]))&&b("faceres error:",{model:x0,result:p});let k=p.find(W=>W.shape[1]===1024),N=k?await k.data():[];s.descriptor=Array.from(N),p.forEach(W=>r.dispose(W))}de[n]=s,n3=o,l(s)}))}var Ve=.1,qt=.5;function gs(e,t,n){let o=!1,s=n.length-1;for(let A=0;At!=n[s].y>t&&e<(n[s].x-n[A].x)*(t-n[A].y)/(n[s].y-n[A].y)+n[A].x&&(o=!o);return o}async function s3(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,n=e.tensor.shape[1]||0,o=await e.tensor.buffer(),s=[];for(let a of F0.silhouette)s.push({x:(e.mesh[a][0]-e.box[0])/e.box[2],y:(e.mesh[a][1]-e.box[1])/e.box[3]});Ve&&Ve>0&&(s=s.map(a=>({x:a.x>.5?a.x+Ve:a.x-Ve,y:a.y>.5?a.y+Ve:a.y-Ve})));for(let a=0;aR()-a3,A=Ut<(((i=t.face.antispoof)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&s&&A&&A3===o&&D2[n]?(Ut++,D2[n]):(Ut=0,new Promise(async c=>{let d=r.image.resizeBilinear(e,[y0!=null&&y0.inputs[0].shape?y0.inputs[0].shape[2]:0,y0!=null&&y0.inputs[0].shape?y0.inputs[0].shape[1]:0],!1),y=y0==null?void 0:y0.execute(d),l=(await y.data())[0];D2[n]=Math.round(100*l)/100,A3=o,a3=R(),r.dispose([d,y]),c(D2[n])}))}var f0,F2=[],Kt=Number.MAX_SAFE_INTEGER,c3=0,d3=0;async function x3(e){var t;return P.initial&&(f0=null),f0?e.debug&&b("cached model:",f0.modelUrl):f0=await L((t=e.face.liveness)==null?void 0:t.modelPath),f0}async function Jt(e,t,n,o){var a,i;if(!(f0!=null&&f0.executor))return 0;let s=(((a=t.face.liveness)==null?void 0:a.skipTime)||0)>R()-d3,A=Kt<(((i=t.face.liveness)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&s&&A&&c3===o&&F2[n]?(Kt++,F2[n]):(Kt=0,new Promise(async c=>{let d=r.image.resizeBilinear(e,[f0!=null&&f0.inputs[0].shape?f0.inputs[0].shape[2]:0,f0!=null&&f0.inputs[0].shape?f0.inputs[0].shape[1]:0],!1),y=f0==null?void 0:f0.execute(d),l=(await y.data())[0];F2[n]=Math.round(100*l)/100,c3=o,d3=R(),r.dispose([d,y]),c(F2[n])}))}var B0,Qt=[],vs=["white","black","asian","indian","other"],Rs=[15,23,28,35.5,45.5,55.5,65],f3=0,m3=0,_t=Number.MAX_SAFE_INTEGER;async function p3(e){var t;return P.initial&&(B0=null),B0?e.debug&&b("cached model:",B0.modelUrl):B0=await L((t=e.face.gear)==null?void 0:t.modelPath),B0}async function $t(e,t,n,o){var a,i;if(!B0)return{age:0,gender:"unknown",genderScore:0,race:[]};let s=_t<(((a=t.face.gear)==null?void 0:a.skipFrames)||0),A=(((i=t.face.gear)==null?void 0:i.skipTime)||0)>R()-m3;return t.skipAllowed&&A&&s&&f3===o&&Qt[n]?(_t++,Qt[n]):(_t=0,new Promise(async c=>{var v,T,u,g;if(!(B0!=null&&B0.inputs[0].shape))return;let d={},y=[[0,.1,.9,.9]];if(((v=t.face.gear)==null?void 0:v.crop)>0){let w=(T=t.face.gear)==null?void 0:T.crop;y=[[w,w,1-w,1-w]]}d.resize=r.image.cropAndResize(e,y,[0],[B0.inputs[0].shape[2],B0.inputs[0].shape[1]]);let l={age:0,gender:"unknown",genderScore:0,race:[]};(u=t.face.gear)!=null&&u.enabled&&([d.age,d.gender,d.race]=B0.execute(d.resize,["age_output","gender_output","race_output"]));let m=await d.gender.data();l.gender=m[0]>m[1]?"male":"female",l.genderScore=Math.round(100*(m[0]>m[1]?m[0]:m[1]))/100;let x=await d.race.data();for(let w=0;w(((g=t.face.gear)==null?void 0:g.minConfidence)||.2)&&l.race.push({score:Math.round(100*x[w])/100,race:vs[w]});l.race.sort((w,k)=>k.score-w.score);let f=Array.from(await d.age.data()).map((w,k)=>[Rs[k],w]).sort((w,k)=>k[1]-w[1]),h=f[0][0];for(let w=1;wr.dispose(d[w])),Qt[n]=l,f3=o,m3=R(),c(l)}))}var R0,B2=[],h3=0,b3=0,e5=Number.MAX_SAFE_INTEGER;async function g3(e){return P.initial&&(R0=null),R0?e.debug&&b("cached model:",R0.modelUrl):R0=await L(e.face.ssrnet.modelPathAge),R0}async function t5(e,t,n,o){var a,i,c,d;if(!R0)return{age:0};let s=e5<(((a=t.face.ssrnet)==null?void 0:a.skipFrames)||0),A=(((i=t.face.ssrnet)==null?void 0:i.skipTime)||0)>R()-b3;return t.skipAllowed&&s&&A&&h3===o&&((c=B2[n])!=null&&c.age)&&((d=B2[n])==null?void 0:d.age)>0?(e5++,B2[n]):(e5=0,new Promise(async y=>{var x,p,f;if(!(R0!=null&&R0.inputs)||!R0.inputs[0]||!R0.inputs[0].shape)return;let l={};if(((x=t.face.ssrnet)==null?void 0:x.crop)>0){let h=(p=t.face.ssrnet)==null?void 0:p.crop,v=[[h,h,1-h,1-h]];l.resize=r.image.cropAndResize(e,v,[0],[R0.inputs[0].shape[2],R0.inputs[0].shape[1]])}else l.resize=r.image.resizeBilinear(e,[R0.inputs[0].shape[2],R0.inputs[0].shape[1]],!1);l.enhance=r.mul(l.resize,O.tf255);let m={age:0};if((f=t.face.ssrnet)!=null&&f.enabled&&(l.age=R0.execute(l.enhance)),l.age){let h=await l.age.data();m.age=Math.trunc(10*h[0])/10}Object.keys(l).forEach(h=>r.dispose(l[h])),B2[n]=m,h3=o,b3=R(),y(m)}))}var u0,H2=[],v3=0,R3=0,n5=Number.MAX_SAFE_INTEGER,o5=[.2989,.587,.114];async function M3(e){var t;return P.initial&&(u0=null),u0?e.debug&&b("cached model:",u0.modelUrl):u0=await L((t=e.face.ssrnet)==null?void 0:t.modelPathGender),u0}async function r5(e,t,n,o){var a,i,c,d;if(!u0)return{gender:"unknown",genderScore:0};let s=n5<(((a=t.face.ssrnet)==null?void 0:a.skipFrames)||0),A=(((i=t.face.ssrnet)==null?void 0:i.skipTime)||0)>R()-R3;return t.skipAllowed&&s&&A&&v3===o&&((c=H2[n])!=null&&c.gender)&&((d=H2[n])==null?void 0:d.genderScore)>0?(n5++,H2[n]):(n5=0,new Promise(async y=>{var p,f,h;if(!(u0!=null&&u0.inputs[0].shape))return;let l={};if(((p=t.face.ssrnet)==null?void 0:p.crop)>0){let v=(f=t.face.ssrnet)==null?void 0:f.crop,T=[[v,v,1-v,1-v]];l.resize=r.image.cropAndResize(e,T,[0],[u0.inputs[0].shape[2],u0.inputs[0].shape[1]])}else l.resize=r.image.resizeBilinear(e,[u0.inputs[0].shape[2],u0.inputs[0].shape[1]],!1);l.enhance=r.tidy(()=>{var T,u;let v;if(((u=(T=u0==null?void 0:u0.inputs)==null?void 0:T[0].shape)==null?void 0:u[3])===1){let[g,w,k]=r.split(l.resize,3,3),N=r.mul(g,o5[0]),W=r.mul(w,o5[1]),V=r.mul(k,o5[2]),D=r.addN([N,W,V]);v=r.mul(r.sub(D,O.tf05),2)}else v=r.mul(r.sub(l.resize,O.tf05),2);return v});let m={gender:"unknown",genderScore:0};(h=t.face.ssrnet)!=null&&h.enabled&&(l.gender=u0.execute(l.enhance));let x=await l.gender.data();m.gender=x[0]>x[1]?"female":"male",m.genderScore=x[0]>x[1]?Math.trunc(100*x[0])/100:Math.trunc(100*x[1])/100,Object.keys(l).forEach(v=>r.dispose(l[v])),H2[n]=m,v3=o,R3=R(),y(m)}))}var S0,s5=[],k3=0,w3=0,E3=Number.MAX_SAFE_INTEGER;async function z3(e){var t;return P.initial&&(S0=null),S0?e.debug&&b("cached model:",S0.modelUrl):S0=await L((t=e.face.mobilefacenet)==null?void 0:t.modelPath),S0}async function A5(e,t,n,o){var a,i;if(!(S0!=null&&S0.executor))return[];let s=E3<(((a=t.face.mobilefacenet)==null?void 0:a.skipFrames)||0),A=(((i=t.face.mobilefacenet)==null?void 0:i.skipTime)||0)>R()-w3;return t.skipAllowed&&A&&s&&k3===o&&s5[n]?(E3++,s5[n]):new Promise(async c=>{var y;let d=[];if((y=t.face.mobilefacenet)!=null&&y.enabled&&(S0!=null&&S0.inputs[0].shape)){let l={};l.crop=r.image.resizeBilinear(e,[S0.inputs[0].shape[2],S0.inputs[0].shape[1]],!1),l.data=S0.execute(l.crop);let m=await l.data.data();d=Array.from(m),Object.keys(l).forEach(x=>r.dispose(l[x]))}s5[n]=d,k3=o,w3=R(),c(d)})}var j0,a5=[],j3=0,I3=0,N3=Number.MAX_SAFE_INTEGER;async function L3(e){return P.initial&&(j0=null),j0?e.debug&&b("cached model:",j0.modelUrl):j0=await L(e.face.insightface.modelPath),j0}async function i5(e,t,n,o){var a,i;if(!(j0!=null&&j0.executor))return[];let s=N3<(((a=t.face.insightface)==null?void 0:a.skipFrames)||0),A=(((i=t.face.insightface)==null?void 0:i.skipTime)||0)>R()-I3;return t.skipAllowed&&A&&s&&j3===o&&a5[n]?(N3++,a5[n]):new Promise(async c=>{var y;let d=[];if((y=t.face.insightface)!=null&&y.enabled&&(j0!=null&&j0.inputs[0].shape)){let l={};l.crop=r.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0.execute(l.crop);let m=await l.data.data();d=Array.from(m),Object.keys(l).forEach(x=>r.dispose(l[x]))}a5[n]=d,j3=o,I3=R(),c(d)})}var Ms=e=>{let t=(l,m)=>Math.atan2(l[1]-m[1],l[0]-m[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,s=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),A=s?e.mesh[473]:e.mesh[468],a=s?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],i=s?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],c=[(a[0]-A[0])/i[0]-n[0],o*(A[1]-a[1])/i[1]-n[1]],d=Math.sqrt(c[0]*c[0]+c[1]*c[1]);return d=Math.min(d,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],c)+Math.PI/2)%Math.PI,strength:d}},C3=(e,t)=>{let n=f=>{let h=Math.sqrt(f[0]*f[0]+f[1]*f[1]+f[2]*f[2]);return f[0]/=h,f[1]/=h,f[2]/=h,f},o=(f,h)=>{let v=f[0]-h[0],T=f[1]-h[1],u=f[2]-h[2];return[v,T,u]},s=(f,h)=>{let v=f[1]*h[2]-f[2]*h[1],T=f[2]*h[0]-f[0]*h[2],u=f[0]*h[1]-f[1]*h[0];return[v,T,u]},A=f=>{let[h,v,T,u,g,w,k,N,W]=f,V,D,Z;return u<1?u>-1?(Z=Math.asin(u),D=Math.atan2(-k,h),V=Math.atan2(-w,g)):(Z=-Math.PI/2,D=-Math.atan2(N,W),V=0):(Z=Math.PI/2,D=Math.atan2(N,W),V=0),Number.isNaN(V)&&(V=0),Number.isNaN(D)&&(D=0),Number.isNaN(Z)&&(Z=0),{pitch:2*-V,yaw:2*-D,roll:2*-Z}},a=e.meshRaw;if(!a||a.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let i=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,c=[a[10],a[152],a[234],a[454]].map(f=>[f[0]*t[0]/i,f[1]*t[1]/i,f[2]]),d=n(o(c[1],c[0])),y=n(o(c[3],c[2])),l=n(s(y,d));y=s(d,l);let m=[y[0],y[1],y[2],d[0],d[1],d[2],l[0],l[1],l[2]],x=A(m),p=a.length===478?Ms(e):{bearing:0,strength:0};return{angle:x,matrix:m,gaze:p}};function W3(e,t){let n=e==null?void 0:e.annotations;if(!(n!=null&&n.leftEyeIris)||!(n!=null&&n.rightEyeIris))return 0;let o=Math.max(Math.abs(n.leftEyeIris[3][0]-n.leftEyeIris[1][0]),Math.abs(n.rightEyeIris[3][0]-n.rightEyeIris[1][0]))/t;return Math.round(1.17/o)/100}var l5=async(e,t)=>{var p,f,h,v,T,u,g,w,k,N,W,V,D,Z,J,U,q,m0,M,i0,g0,e0,G;let n=R(),o,s,A,a,i,c,d,y,l,m=[];e.state="run:face";let x=await U1(t,e.config);if(e.performance.face=P.perfadd?(e.performance.face||0)+Math.trunc(R()-n):Math.trunc(R()-n),!t.shape||t.shape.length!==4)return[];if(!x)return[];for(let S=0;S200?C3(x[S],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?a=(f=e.config.face.emotion)!=null&&f.enabled?Vt(x[S].tensor||r.tensor([]),e.config,S,x.length):[]:(e.state="run:emotion",n=R(),a=(h=e.config.face.emotion)!=null&&h.enabled?await Vt(x[S].tensor||r.tensor([]),e.config,S,x.length):[],e.performance.emotion=P.perfadd?(e.performance.emotion||0)+Math.trunc(R()-n):Math.trunc(R()-n)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?d=(v=e.config.face.antispoof)!=null&&v.enabled?Yt(x[S].tensor||r.tensor([]),e.config,S,x.length):0:(e.state="run:antispoof",n=R(),d=(T=e.config.face.antispoof)!=null&&T.enabled?await Yt(x[S].tensor||r.tensor([]),e.config,S,x.length):0,e.performance.antispoof=P.perfadd?(e.performance.antispoof||0)+Math.trunc(R()-n):Math.trunc(R()-n)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?y=(u=e.config.face.liveness)!=null&&u.enabled?Jt(x[S].tensor||r.tensor([]),e.config,S,x.length):0:(e.state="run:liveness",n=R(),y=(g=e.config.face.liveness)!=null&&g.enabled?await Jt(x[S].tensor||r.tensor([]),e.config,S,x.length):0,e.performance.liveness=P.perfadd?(e.performance.antispoof||0)+Math.trunc(R()-n):Math.trunc(R()-n)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?s=(w=e.config.face.gear)!=null&&w.enabled?$t(x[S].tensor||r.tensor([]),e.config,S,x.length):null:(e.state="run:gear",n=R(),s=(k=e.config.face.gear)!=null&&k.enabled?await $t(x[S].tensor||r.tensor([]),e.config,S,x.length):null,e.performance.gear=Math.trunc(R()-n)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(o=(N=e.config.face.ssrnet)!=null&&N.enabled?t5(x[S].tensor||r.tensor([]),e.config,S,x.length):null,A=(W=e.config.face.ssrnet)!=null&&W.enabled?r5(x[S].tensor||r.tensor([]),e.config,S,x.length):null):(e.state="run:ssrnet",n=R(),o=(V=e.config.face.ssrnet)!=null&&V.enabled?await t5(x[S].tensor||r.tensor([]),e.config,S,x.length):null,A=(D=e.config.face.ssrnet)!=null&&D.enabled?await r5(x[S].tensor||r.tensor([]),e.config,S,x.length):null,e.performance.ssrnet=Math.trunc(R()-n)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?i=(Z=e.config.face.mobilefacenet)!=null&&Z.enabled?A5(x[S].tensor||r.tensor([]),e.config,S,x.length):null:(e.state="run:mobilefacenet",n=R(),i=(J=e.config.face.mobilefacenet)!=null&&J.enabled?await A5(x[S].tensor||r.tensor([]),e.config,S,x.length):null,e.performance.mobilefacenet=Math.trunc(R()-n)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?c=(U=e.config.face.insightface)!=null&&U.enabled?i5(x[S].tensor||r.tensor([]),e.config,S,x.length):null:(e.state="run:mobilefacenet",n=R(),c=(q=e.config.face.insightface)!=null&&q.enabled?await i5(x[S].tensor||r.tensor([]),e.config,S,x.length):null,e.performance.mobilefacenet=Math.trunc(R()-n)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?l=Xt(x[S].tensor||r.tensor([]),e.config,S,x.length):(e.state="run:description",n=R(),l=await Xt(x[S].tensor||r.tensor([]),e.config,S,x.length),e.performance.description=P.perfadd?(e.performance.description||0)+Math.trunc(R()-n):Math.trunc(R()-n)),e.analyze("End Description:"),e.config.async&&([o,A,a,i,c,l,s,d,y]=await Promise.all([o,A,a,i,c,l,s,d,y])),e.analyze("Finish Face:"),(m0=e.config.face.ssrnet)!=null&&m0.enabled&&o&&A&&(l={...l,age:o.age,gender:A.gender,genderScore:A.genderScore}),(M=e.config.face.gear)!=null&&M.enabled&&s&&(l={...l,age:s.age,gender:s.gender,genderScore:s.genderScore,race:s.race}),(i0=e.config.face.mobilefacenet)!=null&&i0.enabled&&i&&(l.descriptor=i),(g0=e.config.face.insightface)!=null&&g0.enabled&&c&&(l.descriptor=c);let F=(e0=e.config.face.iris)!=null&&e0.enabled?W3(x[S],t.shape[2]):0,w0=(G=e.config.face.detector)!=null&&G.return?r.squeeze(x[S].tensor):null;r.dispose(x[S].tensor),x[S].tensor&&delete x[S].tensor;let t0={...x[S],id:S};l.age&&(t0.age=l.age),l.gender&&(t0.gender=l.gender),l.genderScore&&(t0.genderScore=l.genderScore),l.descriptor&&(t0.embedding=l.descriptor),l.race&&(t0.race=l.race),a&&(t0.emotion=a),d&&(t0.real=d),y&&(t0.live=y),F>0&&(t0.distance=F),C&&(t0.rotation=C),w0&&(t0.tensor=w0),m.push(t0),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),m};var M0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>M0.nameMapping[e],getPoints:e=>M0.pointsMapping[e]},ye={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>ye.nameMapping[e]},$={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>$.nameMapping[e]},xe=class{constructor(t){z(this,"name");z(this,"curls");z(this,"directions");z(this,"weights");z(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,n,o){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([n,o])}direction(t,n,o){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([n,o])}weight(t,n){this.weights[t]=n;let o=this.weights.reduce((s,A)=>s+A,0);this.weightsRelative=this.weights.map(s=>s*5/o)}matchAgainst(t,n){let o=0;for(let s in t){let A=t[s],a=this.curls[s];if(typeof a=="undefined"){o+=this.weightsRelative[s];continue}for(let[i,c]of a)if(A===i){o+=c*this.weightsRelative[s];break}}for(let s in n){let A=n[s],a=this.directions[s];if(typeof a=="undefined"){o+=this.weightsRelative[s];continue}for(let[i,c]of a)if(A===i){o+=c*this.weightsRelative[s];break}}return o/10}};var{thumb:V0,index:_0,middle:$0,ring:ze,pinky:Se}=M0,{none:Z0,half:ks,full:X0}=ye,{verticalUp:Ze,verticalDown:ti,horizontalLeft:c5,horizontalRight:ws,diagonalUpRight:Es,diagonalUpLeft:Xe,diagonalDownRight:ni,diagonalDownLeft:oi}=$,fe=new xe("thumbs up");fe.curl(V0,Z0,1);fe.direction(V0,Ze,1);fe.direction(V0,Xe,.25);fe.direction(V0,Es,.25);for(let e of[M0.index,M0.middle,M0.ring,M0.pinky])fe.curl(e,X0,1),fe.direction(e,c5,1),fe.direction(e,ws,1);var s0=new xe("victory");s0.curl(V0,ks,.5);s0.curl(V0,Z0,.5);s0.direction(V0,Ze,1);s0.direction(V0,Xe,1);s0.curl(_0,Z0,1);s0.direction(_0,Ze,.75);s0.direction(_0,Xe,1);s0.curl($0,Z0,1);s0.direction($0,Ze,1);s0.direction($0,Xe,.75);s0.curl(ze,X0,1);s0.direction(ze,Ze,.2);s0.direction(ze,Xe,1);s0.direction(ze,c5,.2);s0.curl(Se,X0,1);s0.direction(Se,Ze,.2);s0.direction(Se,Xe,1);s0.direction(Se,c5,.2);s0.weight(_0,2);s0.weight($0,2);var me=new xe("point");me.curl(V0,X0,1);me.curl(_0,Z0,.5);me.curl($0,X0,.5);me.curl(ze,X0,.5);me.curl(Se,X0,.5);me.weight(_0,2);me.weight($0,2);var pe=new xe("middle finger");pe.curl(V0,Z0,1);pe.curl(_0,X0,.5);pe.curl($0,X0,.5);pe.curl(ze,X0,.5);pe.curl(Se,X0,.5);pe.weight(_0,2);pe.weight($0,2);var qe=new xe("open palm");qe.curl(V0,Z0,.75);qe.curl(_0,Z0,.75);qe.curl($0,Z0,.75);qe.curl(ze,Z0,.75);qe.curl(Se,Z0,.75);var D3=[fe,s0,me,pe,qe];var zs=.7,je={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function F3(e,t,n,o){let s=(t-o)/(e-n),A=Math.atan(s)*180/Math.PI;return A<=0?A=-A:A>0&&(A=180-A),A}function H3(e,t){if(!e||!t)return[0,0];let n=F3(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let o=F3(e[1],e[2],t[1],t[2]);return[n,o]}function B3(e,t=1){let n=0,o=0,s=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?o=1*t:s=1*t,[n,o,s]}function Ss(e,t,n){let o=e[0]-t[0],s=e[0]-n[0],A=t[0]-n[0],a=e[1]-t[1],i=e[1]-n[1],c=t[1]-n[1],d=e[2]-t[2],y=e[2]-n[2],l=t[2]-n[2],m=Math.sqrt(o*o+a*a+d*d),x=Math.sqrt(s*s+i*i+y*y),p=Math.sqrt(A*A+c*c+l*l),f=(p*p+m*m-x*x)/(2*p*m);f>1?f=1:f<-1&&(f=-1);let h=Math.acos(f);h=57.2958*h%180;let v;return h>je.NO_CURL_START_LIMIT?v=ye.none:h>je.HALF_CURL_START_LIMIT?v=ye.half:v=ye.full,v}function G3(e,t,n,o){let s;return o===Math.abs(e)?e>0?s=$.horizontalLeft:s=$.horizontalRight:o===Math.abs(t)?t>0?s=$.horizontalLeft:s=$.horizontalRight:n>0?s=$.horizontalLeft:s=$.horizontalRight,s}function V3(e,t,n,o){let s;return o===Math.abs(e)?e<0?s=$.verticalDown:s=$.verticalUp:o===Math.abs(t)?t<0?s=$.verticalDown:s=$.verticalUp:n<0?s=$.verticalDown:s=$.verticalUp,s}function js(e,t,n,o,s,A,a,i){let c,d=V3(e,t,n,o),y=G3(s,A,a,i);return d===$.verticalUp?y===$.horizontalLeft?c=$.diagonalUpLeft:c=$.diagonalUpRight:y===$.horizontalLeft?c=$.diagonalDownLeft:c=$.diagonalDownRight,c}function Is(e,t,n,o){let s=e[0]-t[0],A=e[0]-n[0],a=t[0]-n[0],i=e[1]-t[1],c=e[1]-n[1],d=t[1]-n[1],y=Math.max(Math.abs(s),Math.abs(A),Math.abs(a)),l=Math.max(Math.abs(i),Math.abs(c),Math.abs(d)),m=0,x=0,p=0,f=l/(y+1e-5);f>1.5?m+=je.DISTANCE_VOTE_POWER:f>.66?x+=je.DISTANCE_VOTE_POWER:p+=je.DISTANCE_VOTE_POWER;let h=Math.sqrt(s*s+i*i),v=Math.sqrt(A*A+c*c),T=Math.sqrt(a*a+d*d),u=Math.max(h,v,T),g=e[0],w=e[1],k=n[0],N=n[1];u===h?(k=n[0],N=n[1]):u===T&&(g=t[0],w=t[1]);let D=H3([g,w],[k,N]),Z=B3(D,je.TOTAL_ANGLE_VOTE_POWER);m+=Z[0],x+=Z[1],p+=Z[2];for(let U of o){let q=B3(U,je.SINGLE_ANGLE_VOTE_POWER);m+=q[0],x+=q[1],p+=q[2]}let J;return m===Math.max(m,x,p)?J=V3(c,i,d,l):p===Math.max(x,p)?J=G3(A,s,a,y):J=js(c,i,d,l,A,s,a,y),J}function Z3(e){let t=[],n=[],o=[],s=[];if(!e)return{curls:o,directions:s};for(let A of M0.all){let a=M0.getPoints(A),i=[],c=[];for(let d of a){let y=e[d[0]],l=e[d[1]],m=H3(y,l),x=m[0],p=m[1];i.push(x),c.push(p)}t.push(i),n.push(c)}for(let A of M0.all){let a=A===M0.thumb?1:0,i=M0.getPoints(A),c=e[i[a][0]],d=e[i[a+1][1]],y=e[i[3][1]],l=Ss(c,d,y),m=Is(c,d,y,t[A].slice(a));o[A]=l,s[A]=m}return{curls:o,directions:s}}function G2(e){if(!e||e.length===0)return null;let t=Z3(e),n={};for(let o of M0.all)n[M0.getName(o)]={curl:ye.getName(t.curls[o]),direction:$.getName(t.directions[o])};return n}function X3(e){let t=[];if(!e||e.length===0)return t;let n=Z3(e);for(let o of D3){let s=o.matchAgainst(n.curls,n.directions);s>=zs&&t.push({name:o.name,confidence:s})}return t}var q3=e=>{if(!e)return[];let t=[];for(let n=0;nc.part==="leftWrist"),s=e[n].keypoints.find(c=>c.part==="rightWrist"),A=e[n].keypoints.find(c=>c.part==="nose");A&&o&&s&&o.position[1]c.part==="leftShoulder"),i=e[n].keypoints.find(c=>c.part==="rightShoulder");a&&i&&Math.abs(a.positionRaw[1]-i.positionRaw[1])>.1&&t.push({body:n,gesture:`leaning ${a.position[1]>i.position[1]?"left":"right"}`})}return t},U3=e=>{if(!e)return[];let t=[];for(let n=0;n450){let o=(e[n].mesh[33][2]||0)-(e[n].mesh[263][2]||0),s=e[n].mesh[33][0]-e[n].mesh[263][0];Math.abs(o/s)<=.15?t.push({face:n,gesture:"facing center"}):t.push({face:n,gesture:`facing ${o<0?"left":"right"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));i>10&&t.push({face:n,gesture:`mouth ${Math.trunc(i)}% open`});let c=e[n].mesh[152][2]||0;Math.abs(c)>10&&t.push({face:n,gesture:`head ${c<0?"up":"down"}`})}return t},Y3=e=>{var n,o,s,A;if(!e)return[];let t=[];for(let a=0;a.06||h>.06)&&(x=!1),f>h?f>.05&&t.push({iris:a,gesture:"looking right"}):h>.05&&t.push({iris:a,gesture:"looking left"});let v=Math.abs(e[a].mesh[145][1]-e[a].annotations.rightEyeIris[0][1])/e[a].box[3],T=Math.abs(e[a].mesh[374][1]-e[a].annotations.leftEyeIris[0][1])/e[a].box[3];(T<.01||v<.01||T>.022||v>.022)&&(x=!1),(T<.01||v<.01)&&t.push({iris:a,gesture:"looking down"}),(T>.022||v>.022)&&t.push({iris:a,gesture:"looking up"}),x&&t.push({iris:a,gesture:"looking center"})}return t},K3=e=>{if(!e)return[];let t=[];for(let n=0;n0){let s=o.reduce((a,i)=>(a.position[2]||0)<(i.position[2]||0)?a:i);t.push({hand:n,gesture:`${s.name} forward`});let A=o.reduce((a,i)=>a.position[1][A[0]*t[0],A[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:s,confidence:e.confidence}}function Z2(e,t=1.5){let n=r2(e),o=V2(e),s=[t*o[0]/2,t*o[1]/2],A=[n[0]-s[0],n[1]-s[1]],a=[n[0]+s[0],n[1]+s[1]];return{startPoint:A,endPoint:a,palmLandmarks:e.palmLandmarks}}function X2(e){let t=r2(e),n=V2(e),s=Math.max(...n)/2,A=[t[0]-s,t[1]-s],a=[t[0]+s,t[1]+s];return{startPoint:A,endPoint:a,palmLandmarks:e.palmLandmarks}}function Ls(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function en(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Ls(n)}var J3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ue(e,t){let n=0;for(let o=0;o[a.x,a.y]),this.anchorsTensor=r.tensor2d(this.anchors),this.inputSize=((A=(s=(o=(n=this==null?void 0:this.model)==null?void 0:n.inputs)==null?void 0:o[0])==null?void 0:s.shape)==null?void 0:A[2])||0,this.inputSizeTensor=r.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=r.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let n={};n.boxOffsets=r.slice(t,[0,0],[-1,2]),n.boxSizes=r.slice(t,[0,2],[-1,2]),n.div=r.div(n.boxOffsets,this.inputSizeTensor),n.boxCenterPoints=r.add(n.div,this.anchorsTensor),n.halfBoxSizes=r.div(n.boxSizes,this.doubleInputSizeTensor),n.sub=r.sub(n.boxCenterPoints,n.halfBoxSizes),n.startPoints=r.mul(n.sub,this.inputSizeTensor),n.add=r.add(n.boxCenterPoints,n.halfBoxSizes),n.endPoints=r.mul(n.add,this.inputSizeTensor);let o=r.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(s=>r.dispose(n[s])),o}normalizeLandmarks(t,n){let o={};o.reshape=r.reshape(t,[-1,7,2]),o.div=r.div(o.reshape,this.inputSizeTensor),o.landmarks=r.add(o.div,this.anchors[n]?this.anchors[n]:0);let s=r.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(A=>r.dispose(o[A])),s}async predict(t,n){var i;let o={};o.resize=r.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=r.div(o.resize,O.tf127),o.image=r.sub(o.div,O.tf1),o.batched=this.model.execute(o.image),o.predictions=r.squeeze(o.batched),o.slice=r.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=r.sigmoid(o.slice),o.scores=r.squeeze(o.sigmoid);let s=await o.scores.data();o.boxes=r.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await r.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((i=n.hand)==null?void 0:i.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let A=await o.nms.array(),a=[];for(let c of A){let d={};d.box=r.slice(o.norm,[c,0],[1,-1]),d.slice=r.slice(o.predictions,[c,5],[1,14]),d.norm=this.normalizeLandmarks(d.slice,c),d.palmLandmarks=r.reshape(d.norm,[-1,2]);let y=await d.box.data(),l=y.slice(0,2),m=y.slice(2,4),x=await d.palmLandmarks.array(),p={startPoint:l,endPoint:m,palmLandmarks:x,confidence:s[c]},f=$3(p,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);a.push(f),Object.keys(d).forEach(h=>r.dispose(d[h]))}return Object.keys(o).forEach(c=>r.dispose(o[c])),a}};var Ds=5,rn=1.65,sn=[0,5,9,13,17,1,2],Fs=0,Bs=2,An=0,U2=class{constructor(t,n){z(this,"handDetector");z(this,"handPoseModel");z(this,"inputSize");z(this,"storedBoxes");z(this,"skipped");z(this,"detectedHands");var o,s,A;this.handDetector=t,this.handPoseModel=n,this.inputSize=((A=(s=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:s[0].shape)==null?void 0:A[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(a=>a[0]),o=t.map(a=>a[1]),s=[Math.min(...n),Math.min(...o)],A=[Math.max(...n),Math.max(...o)];return{startPoint:s,endPoint:A}}getBoxForPalmLandmarks(t,n){let o=t.map(A=>y5([...A,1],n)),s=this.calculateLandmarksBoundingBox(o);return Z2(X2(s),Ds)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=Z2(X2(n),rn);o.palmLandmarks=[];for(let s=0;s[a[0]*(x[0]-this.inputSize/2),a[1]*(x[1]-this.inputSize/2),a[2]*x[2]]),c=x5(o,[0,0]),d=i.map(x=>[...y5(x,c),x[2]]),y=tn(s),l=[...r2(n),1],m=[ue(l,y[0]),ue(l,y[1])];return d.map(x=>[Math.trunc(x[0]+m[0]),Math.trunc(x[1]+m[1]),Math.trunc(x[2])])}async estimateHands(t,n){let o=!1,s,A=(n.hand.skipTime||0)>R()-An,a=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&A&&a&&(s=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,s&&s.length>0&&(s.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...s],this.storedBoxes.length>0&&(o=!0));let i=[];for(let c=0;c=n.hand.minConfidence/4){let w=r.reshape(u,[-1,3]),k=await w.array();r.dispose(u),r.dispose(w);let N=this.transformRawCoords(k,f,y,p),W=this.getBoxForHandLandmarks(N);this.storedBoxes[c]={...W,confidence:g};let V={landmarks:N,confidence:g,boxConfidence:d.confidence,fingerConfidence:g,box:{topLeft:W.startPoint,bottomRight:W.endPoint}};i.push(V)}else this.storedBoxes[c]=null;r.dispose(u)}else{let y=Z2(X2(d),rn),l={confidence:d.confidence,boxConfidence:d.confidence,fingerConfidence:0,box:{topLeft:y.startPoint,bottomRight:y.endPoint},landmarks:[]};i.push(l)}}return this.storedBoxes=this.storedBoxes.filter(c=>c!==null),this.detectedHands=i.length,i.length>n.hand.maxDetected&&(i.length=n.hand.maxDetected),i}};var an={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},Ie,Ne,ln;async function f5(e,t){let n=await ln.estimateHands(e,t);if(!n)return[];let o=[];for(let s=0;sn[s].landmarks[l]);let a=n[s].landmarks,i=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],c=[0,0,0,0];if(a&&a.length>0){for(let y of a)y[0]i[2]&&(i[2]=y[0]),y[1]>i[3]&&(i[3]=y[1]);i[2]-=i[0],i[3]-=i[1],c=[i[0]/(e.shape[2]||0),i[1]/(e.shape[1]||0),i[2]/(e.shape[2]||0),i[3]/(e.shape[1]||0)]}else i=n[s].box?[Math.trunc(Math.max(0,n[s].box.topLeft[0])),Math.trunc(Math.max(0,n[s].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[s].box.bottomRight[0])-Math.max(0,n[s].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[s].box.bottomRight[1])-Math.max(0,n[s].box.topLeft[1]))]:[0,0,0,0],c=[n[s].box.topLeft[0]/(e.shape[2]||0),n[s].box.topLeft[1]/(e.shape[1]||0),(n[s].box.bottomRight[0]-n[s].box.topLeft[0])/(e.shape[2]||0),(n[s].box.bottomRight[1]-n[s].box.topLeft[1])/(e.shape[1]||0)];let d=G2(a);o.push({id:s,score:Math.round(100*n[s].confidence)/100,boxScore:Math.round(100*n[s].boxConfidence)/100,fingerScore:Math.round(100*n[s].fingerConfidence)/100,label:"hand",box:i,boxRaw:c,keypoints:a,annotations:A,landmarks:d})}return o}async function cn(e){var n,o;P.initial&&(Ie=null,Ne=null),!Ie||!Ne?[Ie,Ne]=await Promise.all([e.hand.enabled?L((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?L((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&b("cached model:",Ie.modelUrl),e.debug&&b("cached model:",Ne.modelUrl));let t=Ie?new q2(Ie):void 0;return t&&Ne&&(ln=new U2(t,Ne)),[Ie,Ne]}var r0=[null,null],Gs=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],he=[[0,0],[0,0]],Vs=["hand","fist","pinch","point","face","tip","pinchtip"],xn=4,yn=1.6,Zs=512,Xs=1.4,Y2=Number.MAX_SAFE_INTEGER,m5=0,ee=[0,0],o0={boxes:[],hands:[]},fn={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function mn(e){var t;if(P.initial&&(r0[0]=null),r0[0])e.debug&&b("cached model:",r0[0].modelUrl);else{h2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),r0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let n=r0[0].executor?Object.values(r0[0].modelSignature.inputs):void 0;he[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,he[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return r0[0]}async function pn(e){var t;if(P.initial&&(r0[1]=null),r0[1])e.debug&&b("cached model:",r0[1].modelUrl);else{r0[1]=await L((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=r0[1].executor?Object.values(r0[1].modelSignature.inputs):void 0;he[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,he[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return r0[1]}async function qs(e,t){let n=[];if(!e||!r0[0])return n;let o={},s=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Zs),a=Math.round(A*s/8)*8;o.resize=r.image.resizeBilinear(e,[A,a]),o.cast=r.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await r0[0].executeAsync(o.cast,Gs),o.boxes=r.squeeze(o.rawBoxes,[0,2]),o.scores=r.squeeze(o.rawScores,[0]);let i=r.unstack(o.scores,1);r.dispose(i[xn]),i.splice(xn,1),o.filtered=r.stack(i,1),r.dispose(i),o.max=r.max(o.filtered,1),o.argmax=r.argMax(o.filtered,1);let c=0;o.nms=await r.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let d=await o.nms.data(),y=await o.max.data(),l=await o.argmax.data();for(let m of Array.from(d)){let x=r.slice(o.boxes,m,1),p=await x.data();r.dispose(x);let f=[p[1],p[0],p[3]-p[1],p[2]-p[0]],h=k2(f,Xs),v=[Math.trunc(f[0]*ee[0]),Math.trunc(f[1]*ee[1]),Math.trunc(f[2]*ee[0]),Math.trunc(f[3]*ee[1])],T=y[m],u=Vs[l[m]],g={id:c++,score:T,box:v,boxRaw:h,label:u};n.push(g)}return Object.keys(o).forEach(m=>r.dispose(o[m])),n.sort((m,x)=>x.score-m.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function p5(e,t,n){let o={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&r0[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let s={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];s.crop=r.image.cropAndResize(e,[A],[0],[he[1][0],he[1][1]],"bilinear"),s.div=r.div(s.crop,O.tf255),[s.score,s.keypoints]=r0[1].execute(s.div,["Identity_1","Identity"]);let a=(await s.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(i>=(n.hand.minConfidence||0)){o.fingerScore=i,s.reshaped=r.reshape(s.keypoints,[-1,3]);let y=(await s.reshaped.array()).map(l=>[l[0]/he[1][1],l[1]/he[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);o.keypoints=y.map(l=>[ee[0]*(l[0]+t.boxRaw[0]),ee[1]*(l[1]+t.boxRaw[1]),l[2]||0]),o.landmarks=G2(o.keypoints);for(let l of Object.keys(fn))o.annotations[l]=fn[l].map(m=>o.landmarks&&o.keypoints[m]?o.keypoints[m]:null)}Object.keys(s).forEach(c=>r.dispose(s[c]))}return o}async function u5(e,t){var s,A;if(!((s=r0[0])!=null&&s.executor)||!((A=r0[1])!=null&&A.executor)||!r0[0].inputs[0].shape||!r0[1].inputs[0].shape)return[];ee=[e.shape[2]||0,e.shape[1]||0],Y2++;let n=(t.hand.skipTime||0)>R()-m5,o=Y2<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?o0.hands:new Promise(async a=>{let i=3*(t.hand.skipTime||0)>R()-m5,c=Y2<3*(t.hand.skipFrames||0);t.skipAllowed&&o0.hands.length===t.hand.maxDetected?o0.hands=await Promise.all(o0.boxes.map(y=>p5(e,y,t))):t.skipAllowed&&i&&c&&o0.hands.length>0?o0.hands=await Promise.all(o0.boxes.map(y=>p5(e,y,t))):(o0.boxes=await qs(e,t),m5=R(),o0.hands=await Promise.all(o0.boxes.map(y=>p5(e,y,t))),Y2=0);let d=[...o0.boxes];if(o0.boxes.length=0,t.cacheSensitivity>0)for(let y=0;y.05&&l.box[3]/(e.shape[1]||1)>.05&&o0.hands[y].fingerScore&&o0.hands[y].fingerScore>(t.hand.minConfidence||0)){let m=k2(l.box,yn),x=k2(l.boxRaw,yn);o0.boxes.push({...d[y],box:m,boxRaw:x})}}for(let y=0;y({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var s2={};oe(s2,{connected:()=>J2,horizontal:()=>h5,kpt:()=>K2,relative:()=>g5,vertical:()=>b5});var K2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],h5=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],b5=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],g5=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],J2={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var j=te(),T5=0;function hn(e,t){var a,i,c,d,y,l,m,x,p,f,h,v,T,u,g,w,k,N,W,V,D,Z,J,U,q,m0;let n=R();if(!e)return te();let o=Date.now()-e.timestamp,s=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(j.canvas=e.canvas),e.error&&(j.error=e.error),!j.body||e.body.length!==j.body.length)j.body=JSON.parse(JSON.stringify(e.body));else for(let M=0;M((s-1)*j.body[M].box[F]+C)/s),g0=e.body[M].boxRaw.map((C,F)=>((s-1)*j.body[M].boxRaw[F]+C)/s),e0=e.body[M].keypoints.map((C,F)=>{var w0,t0,ne,Ke,Oe,F5,B5,H5,G5;return{score:C.score,part:C.part,position:[j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].position[0]||0)+(C.position[0]||0))/s:C.position[0],j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].position[1]||0)+(C.position[1]||0))/s:C.position[1],j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].position[2]||0)+(C.position[2]||0))/s:C.position[2]],positionRaw:[j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].positionRaw[0]||0)+(C.positionRaw[0]||0))/s:C.positionRaw[0],j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].positionRaw[1]||0)+(C.positionRaw[1]||0))/s:C.positionRaw[1],j.body[M].keypoints[F]?((s-1)*(j.body[M].keypoints[F].positionRaw[2]||0)+(C.positionRaw[2]||0))/s:C.positionRaw[2]],distance:[j.body[M].keypoints[F]?((s-1)*(((w0=j.body[M].keypoints[F].distance)==null?void 0:w0[0])||0)+(((t0=C.distance)==null?void 0:t0[0])||0))/s:(ne=C.distance)==null?void 0:ne[0],j.body[M].keypoints[F]?((s-1)*(((Ke=j.body[M].keypoints[F].distance)==null?void 0:Ke[1])||0)+(((Oe=C.distance)==null?void 0:Oe[1])||0))/s:(F5=C.distance)==null?void 0:F5[1],j.body[M].keypoints[F]?((s-1)*(((B5=j.body[M].keypoints[F].distance)==null?void 0:B5[2])||0)+(((H5=C.distance)==null?void 0:H5[2])||0))/s:(G5=C.distance)==null?void 0:G5[2]]}}),G={},S={connected:{}};(a=t.body.modelPath)!=null&&a.includes("efficientpose")?S=z2:(i=t.body.modelPath)!=null&&i.includes("blazepose")?S=M2:(c=t.body.modelPath)!=null&&c.includes("movenet")&&(S=s2);for(let[C,F]of Object.entries(S.connected)){let w0=[];for(let t0=0;t0Oe.part===F[t0]),Ke=e0.find(Oe=>Oe.part===F[t0+1]);ne&&Ke&&w0.push([ne.position,Ke.position])}G[C]=w0}j.body[M]={...e.body[M],box:i0,boxRaw:g0,keypoints:e0,annotations:G}}if(!j.hand||e.hand.length!==j.hand.length)j.hand=JSON.parse(JSON.stringify(e.hand));else for(let M=0;M((s-1)*j.hand[M].box[C]+S)/s),g0=e.hand[M].boxRaw.map((S,C)=>((s-1)*j.hand[M].boxRaw[C]+S)/s);j.hand[M].keypoints.length!==e.hand[M].keypoints.length&&(j.hand[M].keypoints=e.hand[M].keypoints);let e0=e.hand[M].keypoints&&e.hand[M].keypoints.length>0?e.hand[M].keypoints.map((S,C)=>S.map((F,w0)=>((s-1)*(j.hand[M].keypoints[C][w0]||1)+(F||0))/s)):[],G={};if(Object.keys(j.hand[M].annotations).length!==Object.keys(e.hand[M].annotations).length)j.hand[M].annotations=e.hand[M].annotations,G=j.hand[M].annotations;else if(e.hand[M].annotations)for(let S of Object.keys(e.hand[M].annotations))G[S]=(l=(y=(d=e.hand[M])==null?void 0:d.annotations)==null?void 0:y[S])!=null&&l[0]?e.hand[M].annotations[S].map((C,F)=>C.map((w0,t0)=>((s-1)*j.hand[M].annotations[S][F][t0]+w0)/s)):null;j.hand[M]={...e.hand[M],box:i0,boxRaw:g0,keypoints:e0,annotations:G}}if(!j.face||e.face.length!==j.face.length)j.face=JSON.parse(JSON.stringify(e.face));else for(let M=0;M((s-1)*j.face[M].box[S]+G)/s),g0=e.face[M].boxRaw.map((G,S)=>((s-1)*j.face[M].boxRaw[S]+G)/s),e0=e.face[M].annotations;if(Object.keys(j.face[M].annotations).length!==Object.keys(e.face[M].annotations).length)j.face[M].annotations=e.face[M].annotations,e0=j.face[M].annotations;else if(e.face[M].annotations)for(let G of Object.keys(e.face[M].annotations))e0[G]=(p=(x=(m=e.face[M])==null?void 0:m.annotations)==null?void 0:x[G])!=null&&p[0]?e.face[M].annotations[G].map((S,C)=>S.map((F,w0)=>((s-1)*j.face[M].annotations[G][C][w0]+F)/s)):null;if(e.face[M].rotation){let G={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};G.matrix=(f=e.face[M].rotation)==null?void 0:f.matrix,G.angle={roll:((s-1)*(((v=(h=j.face[M].rotation)==null?void 0:h.angle)==null?void 0:v.roll)||0)+(((u=(T=e.face[M].rotation)==null?void 0:T.angle)==null?void 0:u.roll)||0))/s,yaw:((s-1)*(((w=(g=j.face[M].rotation)==null?void 0:g.angle)==null?void 0:w.yaw)||0)+(((N=(k=e.face[M].rotation)==null?void 0:k.angle)==null?void 0:N.yaw)||0))/s,pitch:((s-1)*(((V=(W=j.face[M].rotation)==null?void 0:W.angle)==null?void 0:V.pitch)||0)+(((Z=(D=e.face[M].rotation)==null?void 0:D.angle)==null?void 0:Z.pitch)||0))/s},G.gaze={bearing:((s-1)*(((J=j.face[M].rotation)==null?void 0:J.gaze.bearing)||0)+(((U=e.face[M].rotation)==null?void 0:U.gaze.bearing)||0))/s,strength:((s-1)*(((q=j.face[M].rotation)==null?void 0:q.gaze.strength)||0)+(((m0=e.face[M].rotation)==null?void 0:m0.gaze.strength)||0))/s},j.face[M]={...e.face[M],rotation:G,box:i0,boxRaw:g0,annotations:e0}}else j.face[M]={...e.face[M],box:i0,boxRaw:g0,annotations:e0}}if(!j.object||e.object.length!==j.object.length)j.object=JSON.parse(JSON.stringify(e.object));else for(let M=0;M((s-1)*j.object[M].box[G]+e0)/s),g0=e.object[M].boxRaw.map((e0,G)=>((s-1)*j.object[M].boxRaw[G]+e0)/s);j.object[M]={...e.object[M],box:i0,boxRaw:g0}}if(e.persons){let M=e.persons;if(!j.persons||M.length!==j.persons.length)j.persons=JSON.parse(JSON.stringify(M));else for(let i0=0;i0((s-1)*j.persons[i0].box[e0]+g0)/s)}e.gesture&&(j.gesture=e.gesture),j.width=e.width,j.height=e.height;let A=R();return T5=P.perfadd?T5+Math.round(A-n):Math.round(A-n),e.performance&&(j.performance={...e.performance,interpolate:T5}),j}var h0;async function v5(e){return!h0||P.initial?h0=await L(e.segmentation.modelPath):e.debug&&b("cached model:",h0.modelUrl),h0}async function bn(e,t){var s;if(h0||(h0=await v5(t)),!(h0!=null&&h0.executor)||!((s=h0==null?void 0:h0.inputs)!=null&&s[0].shape))return null;let n={};n.resize=r.image.resizeBilinear(e,[h0.inputs[0].shape?h0.inputs[0].shape[1]:0,h0.inputs[0].shape?h0.inputs[0].shape[2]:0],!1),n.norm=r.div(n.resize,O.tf255),n.res=h0.execute(n.norm),n.squeeze=r.squeeze(n.res,[0]),[n.bgRaw,n.fgRaw]=r.unstack(n.squeeze,2),n.fg=r.softmax(n.fgRaw),n.mul=r.mul(n.fg,O.tf255),n.expand=r.expandDims(n.mul,2),n.output=r.image.resizeBilinear(n.expand,[e.shape[1]||0,e.shape[2]||0]);let o;switch(t.segmentation.mode||"default"){case"default":n.input=r.squeeze(e),n.concat=r.concat([n.input,n.output],-1),o=r.cast(n.concat,"int32");break;case"alpha":o=r.cast(n.output,"int32");break;default:o=r.tensor(0)}return Object.keys(n).forEach(A=>r.dispose(n[A])),o}var M5={};oe(M5,{distance:()=>R5,find:()=>Ks,similarity:()=>Ys});function R5(e,t,n={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let o=0;for(let s=0;s{if(e===0)return 1;let A=(1-(t===2?Math.sqrt(e):e**(1/t))/100-n)/(o-n);return Math.max(Math.min(A,1),0)};function Ys(e,t,n={order:2,multiplier:25,min:.2,max:.8}){let o=R5(e,t,n);return Tn(o,n.order||2,n.min||0,n.max||1)}function Ks(e,t,n={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let o=Number.MAX_SAFE_INTEGER,s=-1;for(let a=0;ai2,validateModel:()=>ot});var vn=.005,I0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function P5(e){for(let t of h5){let n=e.keypoints.findIndex(s=>s.part===t[0]),o=e.keypoints.findIndex(s=>s.part===t[1]);if(e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[0]s&&s.part===t[0]),o=e.keypoints.findIndex(s=>s&&s.part===t[1]);e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[1]d&&d.part===t[0]),s=e.keypoints.findIndex(d=>d&&d.part===t[1]),A=e.keypoints.findIndex(d=>d&&d.part===n[0]),a=e.keypoints.findIndex(d=>d&&d.part===n[1]);if(!e.keypoints[A]||!e.keypoints[a])continue;let i=e.keypoints[o]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[o].position[0]),Math.abs(e.keypoints[a].position[0]-e.keypoints[o].position[0])]:[0,0],c=e.keypoints[s]?[Math.abs(e.keypoints[a].position[0]-e.keypoints[s].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[s].position[0])]:[0,0];if(i[0]>i[1]||c[0]>c[1]){let d=e.keypoints[o];e.keypoints[o]=e.keypoints[s],e.keypoints[s]=d}}}function Rn(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=r.pad(e,I0.padding),n.resize=r.image.resizeBilinear(n.pad,[t,t]);let o=r.cast(n.resize,"int32");return Object.keys(n).forEach(a=>r.dispose(n[a])),o}function Pn(e,t){e.keypoints=e.keypoints.filter(o=>o==null?void 0:o.position);for(let o of e.keypoints)o.position=[o.position[0]*(t[0]+I0.padding[2][0]+I0.padding[2][1])/t[0]-I0.padding[2][0],o.position[1]*(t[1]+I0.padding[1][0]+I0.padding[1][1])/t[1]-I0.padding[1][0]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1]];let n=ae(e.keypoints.map(o=>o.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var A0,Q2=0,k5=Number.MAX_SAFE_INTEGER,Le={boxes:[],bodies:[],last:0};async function kn(e){var t;return P.initial&&(A0=null),A0?e.debug&&b("cached model:",A0.modelUrl):(h2(["size"],e),A0=await L(e.body.modelPath)),Q2=A0!=null&&A0.executor&&((t=A0==null?void 0:A0.inputs)!=null&&t[0].shape)?A0.inputs[0].shape[2]:0,Q2<64&&(Q2=256),r.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&r.env().set("WEBGL_USE_SHAPES_UNIFORMS",!1),A0}function Qs(e,t,n){let o=e[0][0],s=[],A=0;for(let y=0;yt.body.minConfidence){let l=[o[y][1],o[y][0]];s.push({score:Math.round(100*A)/100,part:K2[y],positionRaw:l,position:[Math.round((n.shape[2]||0)*l[0]),Math.round((n.shape[1]||0)*l[1])]})}A=s.reduce((y,l)=>l.score>y?l.score:y,0);let a=[],i=ae(s.map(y=>y.position),[n.shape[2],n.shape[1]]),c={};for(let[y,l]of Object.entries(J2)){let m=[];for(let x=0;xh.part===l[x]),f=s.find(h=>h.part===l[x+1]);p&&f&&p.score>(t.body.minConfidence||0)&&f.score>(t.body.minConfidence||0)&&m.push([p.position,f.position])}c[y]=m}let d={id:0,score:A,box:i.box,boxRaw:i.boxRaw,keypoints:s,annotations:c};return P5(d),a.push(d),a}function _s(e,t,n){let o=[];for(let s=0;st.body.minConfidence){let i=[];for(let m=0;m<17;m++){let x=A[3*m+2];if(x>t.body.minConfidence){let p=[A[3*m+1],A[3*m+0]];i.push({part:K2[m],score:Math.round(100*x)/100,positionRaw:p,position:[Math.round((n.shape[2]||0)*p[0]),Math.round((n.shape[1]||0)*p[1])]})}}let c=[A[51+1],A[51+0],A[51+3]-A[51+1],A[51+2]-A[51+0]],d=[Math.trunc(c[0]*(n.shape[2]||0)),Math.trunc(c[1]*(n.shape[1]||0)),Math.trunc(c[2]*(n.shape[2]||0)),Math.trunc(c[3]*(n.shape[1]||0))],y={};for(let[m,x]of Object.entries(J2)){let p=[];for(let f=0;fT.part===x[f]),v=i.find(T=>T.part===x[f+1]);h&&v&&h.score>(t.body.minConfidence||0)&&v.score>(t.body.minConfidence||0)&&p.push([h.position,v.position])}y[m]=p}let l={id:s,score:a,box:d,boxRaw:c,keypoints:[...i],annotations:y};P5(l),o.push(l)}}return o.sort((s,A)=>A.score-s.score),o.length>t.body.maxDetected&&(o.length=t.body.maxDetected),o}async function w5(e,t){var s;if(!(A0!=null&&A0.executor)||!((s=A0==null?void 0:A0.inputs)!=null&&s[0].shape))return[];t.skipAllowed||(Le.boxes.length=0),k5++;let n=(t.body.skipTime||0)>R()-Le.last,o=k5<(t.body.skipFrames||0);return t.skipAllowed&&n&&o?Le.bodies:new Promise(async A=>{let a={};k5=0,a.input=Mn(e,Q2),a.res=A0==null?void 0:A0.execute(a.input),Le.last=R();let i=await a.res.array();Le.bodies=a.res.shape[2]===17?Qs(i,t,e):_s(i,t,e);for(let c of Le.bodies)Pn(c,[e.shape[2]||1,e.shape[1]||1]),Rn(c.keypoints);Object.keys(a).forEach(c=>r.dispose(a[c])),A(Le.bodies)})}var H0,_2=[],En=0,E5=Number.MAX_SAFE_INTEGER,et=0,$2=2.5;async function zn(e){if(!H0||P.initial){H0=await L(e.object.modelPath);let t=H0!=null&&H0.executor?Object.values(H0.modelSignature.inputs):void 0;et=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&b("cached model:",H0.modelUrl);return H0}async function $s(e,t,n){var d,y;let o=0,s=[],A=et;for(let l of[1,2,4]){let m=l*13,x=r.squeeze(e.find(u=>u.shape[1]===m**2&&(u.shape[2]||0)===De.length)),p=await x.array(),f=r.squeeze(e.find(u=>u.shape[1]===m**2&&(u.shape[2]||0)(n.object.minConfidence||0)&&g!==61){let k=(.5+Math.trunc(u%m))/m,N=(.5+Math.trunc(u/m))/m,W=T[u].map(M=>M*(m/l/A)),[V,D]=[k-$2/l*W[0],N-$2/l*W[1]],[Z,J]=[k+$2/l*W[2]-V,N+$2/l*W[3]-D],U=[V,D,Z,J];U=U.map(M=>Math.max(0,Math.min(M,1)));let q=[U[0]*t[0],U[1]*t[1],U[2]*t[0],U[3]*t[1]],m0={id:o++,score:Math.round(100*w)/100,class:g+1,label:De[g].label,box:q.map(M=>Math.trunc(M)),boxRaw:U};s.push(m0)}}r.dispose([x,f,h,v])}let a=s.map(l=>[l.boxRaw[1],l.boxRaw[0],l.boxRaw[3],l.boxRaw[2]]),i=s.map(l=>l.score),c=[];if(a&&a.length>0){let l=await r.image.nonMaxSuppressionAsync(a,i,n.object.maxDetected||0,n.object.iouThreshold,n.object.minConfidence);c=Array.from(await l.data()),r.dispose(l)}return s=s.filter((l,m)=>c.includes(m)).sort((l,m)=>m.score-l.score),s}async function z5(e,t){if(!(H0!=null&&H0.executor))return[];let n=(t.object.skipTime||0)>R()-En,o=E5<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&_2.length>0?(E5++,_2):(E5=0,!P.kernels.includes("mod")||!P.kernels.includes("sparsetodense")?_2:new Promise(async s=>{let A=[e.shape[2]||0,e.shape[1]||0],a=r.image.resizeBilinear(e,[et,et],!1),i=r.div(a,O.tf255),c=r.transpose(i,[0,3,1,2]),d;t.object.enabled&&(d=H0.execute(c)),En=R();let y=await $s(d,A,t);_2=y,r.dispose([a,i,c,...d]),s(y)}))}var a2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],eA=a2.length,A2=a2.reduce((e,t,n)=>(e[t]=n,e),{}),tA=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Ki=tA.map(([e,t])=>[A2[e],A2[t]]),jn=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function In(e){let t=e.reduce(({maxX:n,maxY:o,minX:s,minY:A},{position:{x:a,y:i}})=>({maxX:Math.max(n,a),maxY:Math.max(o,i),minX:Math.min(s,a),minY:Math.min(A,i)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Nn(e,[t,n],[o,s]){let A=t/o,a=n/s,i=(d,y)=>({id:y,score:d.score,boxRaw:[d.box[0]/s,d.box[1]/o,d.box[2]/s,d.box[3]/o],box:[Math.trunc(d.box[0]*a),Math.trunc(d.box[1]*A),Math.trunc(d.box[2]*a),Math.trunc(d.box[3]*A)],keypoints:d.keypoints.map(({score:l,part:m,position:x})=>({score:l,part:m,position:[Math.trunc(x.x*a),Math.trunc(x.y*A)],positionRaw:[x.x/o,x.y/o]})),annotations:{}});return e.map((d,y)=>i(d,y))}var tt=class{constructor(t,n){z(this,"priorityQueue");z(this,"numberOfElements");z(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let n=2*t;if(nn?n:e}function Ln(e,t,n,o){let s=n-e,A=o-t;return s*s+A*A}function N5(e,t){return{x:e.x+t.x,y:e.y+t.y}}var N0,oA=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],nt=1,Ue=16,rA=50**2;function On(e,t,n,o,s,A,a=2){let i=v=>({y:A.get(v.y,v.x,e),x:A.get(v.y,v.x,A.shape[2]/2+e)}),c=(v,T,u)=>({y:I5(Math.round(v.y/Ue),0,T-1),x:I5(Math.round(v.x/Ue),0,u-1)}),[d,y]=o.shape,l=c(t.position,d,y),m=i(l),p=N5(t.position,m);for(let v=0;v[A2[m],A2[x]]),a=A.map(([,m])=>m),i=A.map(([m])=>m),c=t.shape[2],d=a.length,y=new Array(c),l=j5(e.part,Ue,n);y[e.part.id]={score:e.score,part:a2[e.part.id],position:l};for(let m=d-1;m>=0;--m){let x=a[m],p=i[m];y[x]&&!y[p]&&(y[p]=On(m,y[x],p,t,n,s))}for(let m=0;mt){i=!1;break}if(!i)break}return i}function aA(e,t){let[n,o,s]=t.shape,A=new tt(n*o*s,({score:a})=>a);for(let a=0;a{var a;let A=(a=s[o])==null?void 0:a.position;return A?Ln(n,t,A.y,A.x)<=rA:!1})}function iA(e,t){return t.reduce((o,{position:s,score:A},a)=>(Cn(e,s,a)||(o+=A),o),0)/t.length}function lA(e,t,n,o,s,A){let a=[],i=aA(A,t);for(;a.lengthx.score>A);let l=iA(a,y),m=In(y);l>A&&a.push({keypoints:y,box:m,score:Math.round(100*l)/100})}return a}async function L5(e,t){if(!(N0!=null&&N0.executor))return[];let n=r.tidy(()=>{if(!N0.inputs[0].shape)return[];let a=r.image.resizeBilinear(e,[N0.inputs[0].shape[2],N0.inputs[0].shape[1]]),i=r.sub(r.div(r.cast(a,"float32"),127.5),1),d=N0.execute(i,oA).map(y=>r.squeeze(y,[0]));return d[1]=r.sigmoid(d[1]),d}),o=await Promise.all(n.map(a=>a.buffer()));for(let a of n)r.dispose(a);let s=lA(o[0],o[1],o[2],o[3],t.body.maxDetected,t.body.minConfidence);return N0.inputs[0].shape?Nn(s,[e.shape[1],e.shape[2]],[N0.inputs[0].shape[2],N0.inputs[0].shape[1]]):[]}async function Wn(e){return!N0||P.initial?N0=await L(e.body.modelPath):e.debug&&b("cached model:",N0.modelUrl),N0}var J0,cA=["fgr","pha","r1o","r2o","r3o","r4o"],a0={},C5=0;function Bn(e){r.dispose([a0.r1i,a0.r2i,a0.r3i,a0.r4i,a0.downsample_ratio]),a0.r1i=r.tensor(0),a0.r2i=r.tensor(0),a0.r3i=r.tensor(0),a0.r4i=r.tensor(0),C5=e.segmentation.ratio||.5,a0.downsample_ratio=r.tensor(C5)}async function W5(e){return!J0||P.initial?J0=await L(e.segmentation.modelPath):e.debug&&b("cached model:",J0.modelUrl),Bn(e),J0}var Fn=e=>r.tidy(()=>{let t=r.squeeze(e,[0]),n=r.mul(t,O.tf255);return r.cast(n,"int32")});function O5(e,t){let n=e?Fn(e):r.fill([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),o=t?Fn(t):r.fill([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),s=r.concat([n,o],-1);return r.dispose([n,o]),s}function dA(e){return r.tidy(()=>{let t={};return t.unstack=r.unstack(e,-1),t.concat=r.concat(t.unstack,1),t.split=r.split(t.concat,4,1),t.stack=r.concat(t.split,2),t.squeeze=r.squeeze(t.stack,[0]),t.expand=r.expandDims(t.squeeze,-1),t.add=r.add(t.expand,1),t.mul=r.mul(t.add,127.5),t.cast=r.cast(t.mul,"int32"),t.tile=r.tile(t.cast,[1,1,3]),t.alpha=r.fill([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),r.concat([t.tile,t.alpha],-1)})}async function Hn(e,t){if(J0||(J0=await W5(t)),!(J0!=null&&J0.executor))return null;a0.src=r.div(e,255),C5!==t.segmentation.ratio&&Bn(t);let[n,o,s,A,a,i]=await J0.executeAsync(a0,cA),c;switch(t.segmentation.mode||"default"){case"default":c=O5(n,o);break;case"alpha":c=O5(null,o);break;case"foreground":c=O5(n,null);break;case"state":c=dA(s);break;default:c=r.tensor(0)}return r.dispose([a0.src,n,o,a0.r1i,a0.r2i,a0.r3i,a0.r4i]),[a0.r1i,a0.r2i,a0.r3i,a0.r4i]=[s,A,a,i],c}var b0;async function D5(e){return!b0||P.initial?b0=await L(e.segmentation.modelPath):e.debug&&b("cached model:",b0.modelUrl),b0}async function Vn(e,t){var s;if(b0||(b0=await D5(t)),!(b0!=null&&b0.executor)||!((s=b0==null?void 0:b0.inputs)!=null&&s[0].shape))return null;let n={};n.resize=r.image.resizeBilinear(e,[b0.inputs[0].shape?b0.inputs[0].shape[1]:0,b0.inputs[0].shape?b0.inputs[0].shape[2]:0],!1),n.norm=r.div(n.resize,O.tf255),n.res=b0.execute(n.norm),n.squeeze=r.squeeze(n.res,[0]),n.alpha=r.image.resizeBilinear(n.squeeze,[e.shape[1]||0,e.shape[2]||0]),n.mul=r.mul(n.alpha,O.tf255);let o;switch(t.segmentation.mode||"default"){case"default":n.input=r.squeeze(e),n.concat=r.concat([n.input,n.mul],-1),o=r.cast(n.concat,"int32");break;case"alpha":o=r.cast(n.mul,"int32");break;default:o=r.tensor(0)}return Object.keys(n).forEach(A=>r.dispose(n[A])),o}function ot(e,t,n){var d,y;if(!t||!((d=e==null?void 0:e.config)!=null&&d.validateModels))return null;let o=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],s=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],A=[],a=[],i=t.modelUrl,c=t.executor;if((y=c==null?void 0:c.graph)!=null&&y.nodes)for(let l of Object.values(c.graph.nodes)){let m=l.op.toLowerCase();A.includes(m)||A.push(m)}else!c&&e.config.debug&&b("model not loaded",n);for(let l of A)!o.includes(l)&&!s.includes(l)&&!e.env.kernels.includes(l)&&!e.env.kernels.includes(l.replace("_",""))&&!e.env.kernels.includes(l.replace("native",""))&&!e.env.kernels.includes(l.replace("v2",""))&&a.push(l);return e.config.debug&&a.length>0&&b("model validation failed:",n,a),a.length>0?{name:n,missing:a,ops:A,url:i}:null}var i2=class{constructor(t){z(this,"instance");z(this,"models",{});this.models={},this.instance=t}stats(){let t=0,n=0,o=0;for(let A of Object.values(p0))t+=A.sizeFromManifest,n+=A.sizeLoadedWeights,o+=A.sizeDesired;let s=o>0?n/o:0;return{numLoadedModels:Object.values(p0).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:s,totalSizeFromManifest:t,totalSizeWeights:n,totalSizeLoading:o,modelStats:Object.values(p0)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var o,s,A,a,i,c,d,y,l,m,x,p,f,h,v,T,u,g,w,k,N,W,V,D,Z,J,U;P.initial&&this.reset(),t&&(this.instance=t);let n={};n.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?W1(this.instance.config):null,n.antispoof=this.instance.config.face.enabled&&((o=this.instance.config.face.antispoof)!=null&&o.enabled)&&!this.models.antispoof?i3(this.instance.config):null,n.liveness=this.instance.config.face.enabled&&((s=this.instance.config.face.liveness)!=null&&s.enabled)&&!this.models.liveness?x3(this.instance.config):null,n.faceres=this.instance.config.face.enabled&&((A=this.instance.config.face.description)!=null&&A.enabled)&&!this.models.faceres?o3(this.instance.config):null,n.emotion=this.instance.config.face.enabled&&((a=this.instance.config.face.emotion)!=null&&a.enabled)&&!this.models.emotion?$1(this.instance.config):null,n.iris=this.instance.config.face.enabled&&((i=this.instance.config.face.iris)!=null&&i.enabled)&&!((c=this.instance.config.face.attention)!=null&&c.enabled)&&!this.models.iris?V1(this.instance.config):null,n.facemesh=this.instance.config.face.enabled&&((d=this.instance.config.face.mesh)!=null&&d.enabled)&&!this.models.facemesh?Y1(this.instance.config):null,n.gear=this.instance.config.face.enabled&&((y=this.instance.config.face.gear)!=null&&y.enabled)&&!this.models.gear?p3(this.instance.config):null,n.ssrnetage=this.instance.config.face.enabled&&((l=this.instance.config.face.ssrnet)!=null&&l.enabled)&&!this.models.ssrnetage?g3(this.instance.config):null,n.ssrnetgender=this.instance.config.face.enabled&&((m=this.instance.config.face.ssrnet)!=null&&m.enabled)&&!this.models.ssrnetgender?M3(this.instance.config):null,n.mobilefacenet=this.instance.config.face.enabled&&((x=this.instance.config.face.mobilefacenet)!=null&&x.enabled)&&!this.models.mobilefacenet?z3(this.instance.config):null,n.insightface=this.instance.config.face.enabled&&((p=this.instance.config.face.insightface)!=null&&p.enabled)&&!this.models.insightface?L3(this.instance.config):null,n.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((f=this.instance.config.body.modelPath)!=null&&f.includes("blazepose"))?h1(this.instance.config):null,n.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?u1(this.instance.config):null,n.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((h=this.instance.config.body.modelPath)!=null&&h.includes("efficientpose"))?M1(this.instance.config):null,n.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((v=this.instance.config.body.modelPath)!=null&&v.includes("movenet"))?kn(this.instance.config):null,n.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((T=this.instance.config.body.modelPath)!=null&&T.includes("posenet"))?Wn(this.instance.config):null,n.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((g=(u=this.instance.config.hand.detector)==null?void 0:u.modelPath)!=null&&g.includes("handtrack"))?mn(this.instance.config):null,n.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((k=(w=this.instance.config.hand.detector)==null?void 0:w.modelPath)!=null&&k.includes("handtrack"))?pn(this.instance.config):null,(W=(N=this.instance.config.hand.detector)==null?void 0:N.modelPath)!=null&&W.includes("handdetect")&&([n.handpose,n.handskeleton]=this.models.handpose?[null,null]:await cn(this.instance.config)),n.centernet=this.instance.config.object.enabled&&!this.models.centernet&&((V=this.instance.config.object.modelPath)!=null&&V.includes("centernet"))?T1(this.instance.config):null,n.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((D=this.instance.config.object.modelPath)!=null&&D.includes("nanodet"))?zn(this.instance.config):null,n.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&((Z=this.instance.config.segmentation.modelPath)!=null&&Z.includes("selfie"))?D5(this.instance.config):null,n.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((J=this.instance.config.segmentation.modelPath)!=null&&J.includes("meet"))?v5(this.instance.config):null,n.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((U=this.instance.config.segmentation.modelPath)!=null&&U.includes("rvm"))?W5(this.instance.config):null;for(let[q,m0]of Object.entries(n))m0!=null&&m0.then&&m0.then(M=>this.models[q]=M);await Promise.all(Object.values(n))}list(){let t=Object.keys(this.models).map(n=>{var o;return{name:n,loaded:this.models[n]!==null,size:0,url:this.models[n]?(o=this.models[n])==null?void 0:o.modelUrl:null}});for(let n of t){let o=Object.keys(p0).find(s=>s.startsWith(n.name));o&&(n.size=p0[o].sizeLoadedWeights,n.url=p0[o].url)}return t}loaded(){return this.list().filter(o=>o.loaded).map(o=>o.name)}validate(){let t=[];for(let n of Object.keys(this.models)){let o=this.models[n];if(!o)continue;let s=ot(this.instance,o,n);s&&t.push(s)}return t}};function qn(e,t,n,o,s){var i,c,d,y,l,m;let A=0,a=[];for(let x of e){let p={id:A++,face:x,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let g of t)x.box[0]>g.box[0]&&x.box[0]g.box[1]&&x.box[1]+x.box[3]p.body.box[0]&&g.box[0]+g.box[2]p.body.box[1]&&g.box[1]+g.box[3]p.body.box[0]&&g.box[1]+g.box[3]>p.body.box[1]&&g.box[1]+g.box[3]{g&&g.length===4&&(f.push(g[0],g[0]+g[2]),h.push(g[1],g[1]+g[3]))};v(p.face.box),v((y=p.body)==null?void 0:y.box),v((l=p.hands.left)==null?void 0:l.box),v((m=p.hands.right)==null?void 0:m.box);let T=Math.min(...f),u=Math.min(...h);p.box=[T,u,Math.max(...f)-T,Math.max(...h)-u],s!=null&&s[1]&&(s!=null&&s[2])&&(p.boxRaw=[p.box[0]/s[2],p.box[1]/s[1],p.box[2]/s[2],p.box[3]/s[1]]),a.push(p)}return a}var rt=` + gaze: [gaze]\xB0`, + body: "body [score]%", + bodyPart: "[label] [score]%", + object: "[label] [score]%", + hand: "[label] [score]%", + finger: "[label]", + gesture: "[where] [who]: [what]" +}; + +// src/draw/draw.ts +var drawTime = 0; +function person(inCanvas2, result, drawOptions) { + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (let i = 0; i < result.length; i++) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels) { + const label = `person #${i}`; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.stroke(); + } + } +} +function canvas2(input, output) { + if (!input || !output) + return; + const ctx = getCanvasContext(output); + if (!ctx) + return; + ctx.drawImage(input, 0, 0); +} +async function all(inCanvas2, result, drawOptions) { + if (!(result == null ? void 0 : result.performance) || !inCanvas2) + return null; + const timeStamp = now(); + const localOptions2 = mergeDeep(options2, drawOptions); + const promise = Promise.all([ + face(inCanvas2, result.face, localOptions2), + body(inCanvas2, result.body, localOptions2), + hand(inCanvas2, result.hand, localOptions2), + object(inCanvas2, result.object, localOptions2), + gesture(inCanvas2, result.gesture, localOptions2) + // gestures do not have buffering + // person(inCanvas, result.persons, localOptions); // already included above + ]); + drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp); + result.performance.draw = drawTime; + return promise; +} +function init2() { + options2.faceLabels = defaultLabels.face; + options2.bodyLabels = defaultLabels.body; + options2.bodyPartLabels = defaultLabels.bodyPart; + options2.handLabels = defaultLabels.hand; + options2.fingerLabels = defaultLabels.finger; + options2.objectLabels = defaultLabels.object; + options2.gestureLabels = defaultLabels.gesture; +} + +// src/body/blazeposecoords.ts +var blazeposecoords_exports = {}; +__export(blazeposecoords_exports, { + connected: () => connected, + kpt: () => kpt +}); +var kpt = [ + "nose", + // 0 + "leftEyeInside", + // 1 + "leftEye", + // 2 + "leftEyeOutside", + // 3 + "rightEyeInside", + // 4 + "rightEye", + // 5 + "rightEyeOutside", + // 6 + "leftEar", + // 7 + "rightEar", + // 8 + "leftMouth", + // 9 + "rightMouth", + // 10 + "leftShoulder", + // 11 + "rightShoulder", + // 12 + "leftElbow", + // 13 + "rightElbow", + // 14 + "leftWrist", + // 15 + "rightWrist", + // 16 + "leftPinky", + // 17 + "rightPinky", + // 18 + "leftIndex", + // 19 + "rightIndex", + // 20 + "leftThumb", + // 21 + "rightThumb", + // 22 + "leftHip", + // 23 + "rightHip", + // 24 + "leftKnee", + // 25 + "rightKnee", + // 26 + "leftAnkle", + // 27 + "rightAnkle", + // 28 + "leftHeel", + // 29 + "rightHeel", + // 30 + "leftFoot", + // 31 + "rightFoot", + // 32 + "bodyCenter", + // 33 + "bodyTop", + // 34 + "leftPalm", + // 35 // z-coord not ok + "leftHand", + // 36 // similar to wrist but z-coord not ok + "rightPalm", + // 37 // z-coord not ok + "rightHand" + // 38 // similar to wrist but z-coord not ok +]; +var connected = { + shoulders: ["leftShoulder", "rightShoulder"], + hips: ["rightHip", "leftHip"], + mouth: ["leftMouth", "rightMouth"], + leftLegUpper: ["leftHip", "leftKnee"], + leftLegLower: ["leftKnee", "leftAnkle"], + leftFoot: ["leftAnkle", "leftHeel", "leftFoot"], + leftTorso: ["leftShoulder", "leftHip"], + leftArmUpper: ["leftShoulder", "leftElbow"], + leftArmLower: ["leftElbow", "leftWrist"], + leftHand: ["leftWrist", "leftPalm"], + leftHandPinky: ["leftPalm", "leftPinky"], + leftHandIndex: ["leftPalm", "leftIndex"], + leftHandThumb: ["leftPalm", "leftThumb"], + leftEyeOutline: ["leftEyeInside", "leftEyeOutside"], + rightLegUpper: ["rightHip", "rightKnee"], + rightLegLower: ["rightKnee", "rightAnkle"], + rightFoot: ["rightAnkle", "rightHeel", "rightFoot"], + rightTorso: ["rightShoulder", "rightHip"], + rightArmUpper: ["rightShoulder", "rightElbow"], + rightArmLower: ["rightElbow", "rightWrist"], + rightHand: ["rightWrist", "rightPalm"], + rightHandPinky: ["rightPalm", "rightPinky"], + rightHandIndex: ["rightPalm", "rightIndex"], + rightHandThumb: ["rightPalm", "rightThumb"], + rightEyeOutline: ["rightEyeInside", "rightEyeOutside"] +}; + +// src/body/blazeposedetector.ts +var model; +var inputSize = 224; +var anchorTensor; +var numLayers = 5; +var strides = [8, 16, 32, 32, 32]; +function createAnchors() { + const anchors3 = []; + let layerId = 0; + while (layerId < numLayers) { + let anchorCount = 0; + let lastSameStrideLayer = layerId; + while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) { + anchorCount += 2; + lastSameStrideLayer++; + } + const stride = strides[layerId]; + const featureMapHeight = Math.ceil(inputSize / stride); + const featureMapWidth = Math.ceil(inputSize / stride); + for (let y = 0; y < featureMapHeight; ++y) { + for (let x = 0; x < featureMapWidth; ++x) { + for (let anchorId = 0; anchorId < anchorCount; ++anchorId) { + anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight }); + } + } + } + layerId = lastSameStrideLayer; + } + anchorTensor = { x: tfjs_esm_exports.tensor1d(anchors3.map((a) => a.x)), y: tfjs_esm_exports.tensor1d(anchors3.map((a) => a.y)) }; +} +async function loadDetector(config3) { + if (env.initial) + model = null; + if (!model && config3.body["detector"] && config3.body["detector"].modelPath || "") { + model = await loadModel(config3.body["detector"].modelPath); + const inputs = (model == null ? void 0 : model["executor"]) ? Object.values(model.modelSignature["inputs"]) : void 0; + inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug && model) + log("cached model:", model["modelUrl"]); + createAnchors(); + return model; +} +var cropFactor = [5, 5]; +function decodeBoxes(boxesTensor, anchor) { + return tfjs_esm_exports.tidy(() => { + const split6 = tfjs_esm_exports.split(boxesTensor, 12, 1); + let xCenter = tfjs_esm_exports.squeeze(split6[0]); + let yCenter = tfjs_esm_exports.squeeze(split6[1]); + let width = tfjs_esm_exports.squeeze(split6[2]); + let height = tfjs_esm_exports.squeeze(split6[3]); + xCenter = tfjs_esm_exports.add(tfjs_esm_exports.div(xCenter, inputSize), anchor.x); + yCenter = tfjs_esm_exports.add(tfjs_esm_exports.div(yCenter, inputSize), anchor.y); + width = tfjs_esm_exports.mul(tfjs_esm_exports.div(width, inputSize), cropFactor[0]); + height = tfjs_esm_exports.mul(tfjs_esm_exports.div(height, inputSize), cropFactor[1]); + const xMin = tfjs_esm_exports.sub(xCenter, tfjs_esm_exports.div(width, 2)); + const yMin = tfjs_esm_exports.sub(yCenter, tfjs_esm_exports.div(height, 2)); + const xMax = tfjs_esm_exports.add(xMin, width); + const yMax = tfjs_esm_exports.add(yMin, height); + const boxes = tfjs_esm_exports.stack([xMin, yMin, xMax, yMax], 1); + return boxes; + }); +} +async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { + var _a, _b; + const detectedBoxes = []; + const t2 = {}; + t2.boxes = decodeBoxes(boxesTensor, anchorTensor); + t2.scores = tfjs_esm_exports.sigmoid(logitsTensor); + t2.nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, 1, ((_a = config3.body["detector"]) == null ? void 0 : _a.minConfidence) || 0.1, ((_b = config3.body["detector"]) == null ? void 0 : _b.iouThreshold) || 0.1); + const nms = await t2.nms.data(); + const scores = await t2.scores.data(); + const boxes = await t2.boxes.array(); + for (const i of Array.from(nms)) { + const score = scores[i]; + const boxRaw = boxes[i]; + const box = [Math.round(boxRaw[0] * outputSize2[0]), Math.round(boxRaw[1] * outputSize2[1]), Math.round(boxRaw[2] * outputSize2[0]), Math.round(boxRaw[3] * outputSize2[1])]; + const detectedBox = { score, boxRaw, box }; + detectedBoxes.push(detectedBox); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return detectedBoxes; +} +async function detectBoxes(input, config3, outputSize2) { + const t2 = {}; + t2.res = model == null ? void 0 : model.execute(input, ["Identity"]); + t2.logitsRaw = tfjs_esm_exports.slice(t2.res, [0, 0, 0], [1, -1, 1]); + t2.boxesRaw = tfjs_esm_exports.slice(t2.res, [0, 0, 1], [1, -1, -1]); + t2.logits = tfjs_esm_exports.squeeze(t2.logitsRaw); + t2.boxes = tfjs_esm_exports.squeeze(t2.boxesRaw); + const boxes = await decodeResults(t2.boxes, t2.logits, config3, outputSize2); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return boxes; +} + +// src/util/box.ts +function calc(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const box = [min2[0], min2[1], max5[0] - min2[0], max5[1] - min2[1]]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function square(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const center = [(min2[0] + max5[0]) / 2, (min2[1] + max5[1]) / 2]; + const dist = Math.max(center[0] - min2[0], center[1] - min2[1], -center[0] + max5[0], -center[1] + max5[1]); + const box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function scale(box, scaleFact) { + const dist = [box[2] * scaleFact, box[3] * scaleFact]; + const newBox = [ + box[0] - (dist[0] - box[2]) / 2, + box[1] - (dist[1] - box[3]) / 2, + dist[0], + dist[1] + ]; + return newBox; +} + +// src/body/blazepose.ts +var model2; +var inputSize2 = 256; +var skipped = Number.MAX_SAFE_INTEGER; +var outputNodes = { + landmarks: ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"], + detector: [] +}; +var cache = []; +var padding = [[0, 0], [0, 0], [0, 0], [0, 0]]; +var lastTime = 0; +var sigmoid2 = (x) => 1 - 1 / (1 + Math.exp(x)); +var loadDetect = (config3) => loadDetector(config3); +async function loadPose(config3) { + if (env.initial) + model2 = null; + if (!model2) { + model2 = await loadModel(config3.body.modelPath); + const inputs = (model2 == null ? void 0 : model2["executor"]) ? Object.values(model2.modelSignature["inputs"]) : void 0; + inputSize2 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug) + log("cached model:", model2["modelUrl"]); + return model2; +} +function prepareImage(input, size2, cropBox) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + let final; + if (cropBox) { + t2.cropped = tfjs_esm_exports.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); + } + if (input.shape[1] !== input.shape[2]) { + const height = [ + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0 + ]; + const width = [ + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0 + ]; + padding = [ + [0, 0], + // dont touch batch + height, + // height before&after + width, + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tfjs_esm_exports.pad(t2.cropped || input, padding); + t2.resize = tfjs_esm_exports.image.resizeBilinear(t2.pad, [size2, size2]); + final = tfjs_esm_exports.div(t2.resize, constants.tf255); + } else if (input.shape[1] !== size2) { + t2.resize = tfjs_esm_exports.image.resizeBilinear(t2.cropped || input, [size2, size2]); + final = tfjs_esm_exports.div(t2.resize, constants.tf255); + } else { + final = tfjs_esm_exports.div(t2.cropped || input, constants.tf255); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return final; +} +function rescaleKeypoints(keypoints, outputSize2, cropBox) { + for (const kpt4 of keypoints) { + kpt4.position = [ + Math.trunc(kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0]), + Math.trunc(kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0]), + kpt4.position[2] + ]; + kpt4.positionRaw = [kpt4.position[0] / outputSize2[0], kpt4.position[1] / outputSize2[1], 2 * kpt4.position[2] / (outputSize2[0] + outputSize2[1])]; + } + if (cropBox) { + const width = cropBox[2] - cropBox[0]; + const height = cropBox[3] - cropBox[1]; + for (const kpt4 of keypoints) { + kpt4.positionRaw = [ + kpt4.positionRaw[0] / height + cropBox[1], + // correct offset due to crop + kpt4.positionRaw[1] / width + cropBox[0], + // correct offset due to crop + kpt4.positionRaw[2] + ]; + kpt4.position = [ + Math.trunc(kpt4.positionRaw[0] * outputSize2[0]), + Math.trunc(kpt4.positionRaw[1] * outputSize2[1]), + kpt4.positionRaw[2] + ]; + } + } + return keypoints; +} +function fixKeypoints(keypoints) { + const leftPalm = keypoints.find((k) => k.part === "leftPalm"); + const leftWrist = keypoints.find((k) => k.part === "leftWrist"); + const leftIndex = keypoints.find((k) => k.part === "leftIndex"); + leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2; + const rightPalm = keypoints.find((k) => k.part === "rightPalm"); + const rightWrist = keypoints.find((k) => k.part === "rightWrist"); + const rightIndex = keypoints.find((k) => k.part === "rightIndex"); + rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2; +} +async function detectLandmarks(input, config3, outputSize2) { + if (!(model2 == null ? void 0 : model2["executor"])) + return null; + const t2 = {}; + [ + t2.ld, + t2.segmentation, + t2.heatmap, + t2.world, + t2.poseflag + /* 1,1 */ + ] = model2 == null ? void 0 : model2.execute(input, outputNodes.landmarks); + const poseScore = (await t2.poseflag.data())[0]; + const points = await t2.ld.data(); + const distances = await t2.world.data(); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + const keypointsRelative = []; + const depth = 5; + for (let i = 0; i < points.length / depth; i++) { + const score = sigmoid2(points[depth * i + 3]); + const presence = sigmoid2(points[depth * i + 4]); + const adjScore = Math.trunc(100 * score * presence * poseScore) / 100; + const positionRaw = [points[depth * i + 0] / inputSize2, points[depth * i + 1] / inputSize2, points[depth * i + 2] + 0]; + const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]]; + const distance2 = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0]; + keypointsRelative.push({ part: kpt[i], positionRaw, position, distance: distance2, score: adjScore }); + } + if (poseScore < (config3.body.minConfidence || 0)) + return null; + fixKeypoints(keypointsRelative); + const keypoints = rescaleKeypoints(keypointsRelative, outputSize2); + const kpts = keypoints.map((k) => k.position); + const boxes = calc(kpts, [outputSize2[0], outputSize2[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations: annotations2 }; + return body4; +} +async function predict(input, config3) { + var _a, _b, _c; + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime; + const skipFrame = skipped < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && cache !== null) { + skipped++; + } else { + let boxes = []; + if ((_b = (_a = config3.body) == null ? void 0 : _a["detector"]) == null ? void 0 : _b["enabled"]) { + const preparedImage = prepareImage(input, 224); + boxes = await detectBoxes(preparedImage, config3, outputSize2); + tfjs_esm_exports.dispose(preparedImage); + } else { + boxes = [{ box: [0, 0, 0, 0], boxRaw: [0, 0, 1, 1], score: 0 }]; + } + for (let i = 0; i < boxes.length; i++) { + const preparedBox = prepareImage(input, 256, (_c = boxes[i]) == null ? void 0 : _c.boxRaw); + cache.length = 0; + const bodyResult = await detectLandmarks(preparedBox, config3, outputSize2); + tfjs_esm_exports.dispose(preparedBox); + if (!bodyResult) + continue; + bodyResult.id = i; + cache.push(bodyResult); + } + lastTime = now(); + skipped = 0; + } + return cache; +} + +// src/object/labels.ts +var labels2 = [ + { class: 1, label: "person" }, + { class: 2, label: "bicycle" }, + { class: 3, label: "car" }, + { class: 4, label: "motorcycle" }, + { class: 5, label: "airplane" }, + { class: 6, label: "bus" }, + { class: 7, label: "train" }, + { class: 8, label: "truck" }, + { class: 9, label: "boat" }, + { class: 10, label: "traffic light" }, + { class: 11, label: "fire hydrant" }, + { class: 12, label: "stop sign" }, + { class: 13, label: "parking meter" }, + { class: 14, label: "bench" }, + { class: 15, label: "bird" }, + { class: 16, label: "cat" }, + { class: 17, label: "dog" }, + { class: 18, label: "horse" }, + { class: 19, label: "sheep" }, + { class: 20, label: "cow" }, + { class: 21, label: "elephant" }, + { class: 22, label: "bear" }, + { class: 23, label: "zebra" }, + { class: 24, label: "giraffe" }, + { class: 25, label: "backpack" }, + { class: 26, label: "umbrella" }, + { class: 27, label: "handbag" }, + { class: 28, label: "tie" }, + { class: 29, label: "suitcase" }, + { class: 30, label: "frisbee" }, + { class: 31, label: "skis" }, + { class: 32, label: "snowboard" }, + { class: 33, label: "sports ball" }, + { class: 34, label: "kite" }, + { class: 35, label: "baseball bat" }, + { class: 36, label: "baseball glove" }, + { class: 37, label: "skateboard" }, + { class: 38, label: "surfboard" }, + { class: 39, label: "tennis racket" }, + { class: 40, label: "bottle" }, + { class: 41, label: "wine glass" }, + { class: 42, label: "cup" }, + { class: 43, label: "fork" }, + { class: 44, label: "knife" }, + { class: 45, label: "spoon" }, + { class: 46, label: "bowl" }, + { class: 47, label: "banana" }, + { class: 48, label: "apple" }, + { class: 49, label: "sandwich" }, + { class: 50, label: "orange" }, + { class: 51, label: "broccoli" }, + { class: 52, label: "carrot" }, + { class: 53, label: "hot dog" }, + { class: 54, label: "pizza" }, + { class: 55, label: "donut" }, + { class: 56, label: "cake" }, + { class: 57, label: "chair" }, + { class: 58, label: "couch" }, + { class: 59, label: "potted plant" }, + { class: 60, label: "bed" }, + { class: 61, label: "dining table" }, + { class: 62, label: "toilet" }, + { class: 63, label: "tv" }, + { class: 64, label: "laptop" }, + { class: 65, label: "mouse" }, + { class: 66, label: "remote" }, + { class: 67, label: "keyboard" }, + { class: 68, label: "cell phone" }, + { class: 69, label: "microwave" }, + { class: 70, label: "oven" }, + { class: 71, label: "toaster" }, + { class: 72, label: "sink" }, + { class: 73, label: "refrigerator" }, + { class: 74, label: "book" }, + { class: 75, label: "clock" }, + { class: 76, label: "vase" }, + { class: 77, label: "scissors" }, + { class: 78, label: "teddy bear" }, + { class: 79, label: "hair drier" }, + { class: 80, label: "toothbrush" } +]; + +// src/object/centernet.ts +var model3; +var inputSize3 = 0; +var last2 = []; +var lastTime2 = 0; +var skipped2 = Number.MAX_SAFE_INTEGER; +async function load(config3) { + if (env.initial) + model3 = null; + if (!model3) { + model3 = await loadModel(config3.object.modelPath); + const inputs = (model3 == null ? void 0 : model3["executor"]) ? Object.values(model3.modelSignature["inputs"]) : void 0; + inputSize3 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", model3["modelUrl"]); + return model3; +} +async function process3(res, outputShape, config3) { + if (!res) + return []; + const t2 = {}; + const results = []; + const detections = await res.array(); + t2.squeeze = tfjs_esm_exports.squeeze(res); + const arr = tfjs_esm_exports.split(t2.squeeze, 6, 1); + t2.stack = tfjs_esm_exports.stack([arr[1], arr[0], arr[3], arr[2]], 1); + t2.boxes = tfjs_esm_exports.squeeze(t2.stack); + t2.scores = tfjs_esm_exports.squeeze(arr[4]); + t2.classes = tfjs_esm_exports.squeeze(arr[5]); + tfjs_esm_exports.dispose([res, ...arr]); + t2.nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); + const nms = await t2.nms.data(); + let i = 0; + for (const id of Array.from(nms)) { + const score = Math.trunc(100 * detections[0][id][4]) / 100; + const classVal = detections[0][id][5]; + if (Number.isNaN(classVal)) + continue; + const label = labels2[classVal].label; + const [x, y] = [ + detections[0][id][0] / inputSize3, + detections[0][id][1] / inputSize3 + ]; + const boxRaw = [ + x, + y, + detections[0][id][2] / inputSize3 - x, + detections[0][id][3] / inputSize3 - y + ]; + const box = [ + Math.trunc(boxRaw[0] * outputShape[0]), + Math.trunc(boxRaw[1] * outputShape[1]), + Math.trunc(boxRaw[2] * outputShape[0]), + Math.trunc(boxRaw[3] * outputShape[1]) + ]; + results.push({ id: i++, score, class: classVal, label, box, boxRaw }); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return results; +} +async function predict2(input, config3) { + if (!(model3 == null ? void 0 : model3["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime2; + const skipFrame = skipped2 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last2.length > 0) { + skipped2++; + return last2; + } + skipped2 = 0; + return new Promise(async (resolve) => { + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const resize = tfjs_esm_exports.image.resizeBilinear(input, [inputSize3, inputSize3]); + const objectT = config3.object.enabled ? model3 == null ? void 0 : model3.execute(resize, ["tower_0/detections"]) : null; + lastTime2 = now(); + tfjs_esm_exports.dispose(resize); + const obj = await process3(objectT, outputSize2, config3); + last2 = obj; + resolve(obj); + }); +} + +// src/body/efficientposecoords.ts +var efficientposecoords_exports = {}; +__export(efficientposecoords_exports, { + connected: () => connected2, + kpt: () => kpt2 +}); +var kpt2 = [ + "head", + "neck", + "rightShoulder", + "rightElbow", + "rightWrist", + "chest", + "leftShoulder", + "leftElbow", + "leftWrist", + "bodyCenter", + "rightHip", + "rightKnee", + "rightAnkle", + "leftHip", + "leftKnee", + "leftAnkle" +]; +var connected2 = { + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/body/efficientpose.ts +var model4; +var lastTime3 = 0; +var cache2 = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} }; +var skipped3 = Number.MAX_SAFE_INTEGER; +async function load2(config3) { + if (env.initial) + model4 = null; + if (!model4) + model4 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model4["modelUrl"]); + return model4; +} +async function max2d(inputs, minScore) { + const [width, height] = inputs.shape; + const reshaped = tfjs_esm_exports.reshape(inputs, [height * width]); + const max5 = tfjs_esm_exports.max(reshaped, 0); + const newScore = (await max5.data())[0]; + if (newScore > minScore) { + const coordinates = tfjs_esm_exports.argMax(reshaped, 0); + const mod3 = tfjs_esm_exports.mod(coordinates, width); + const x = (await mod3.data())[0]; + const div15 = tfjs_esm_exports.div(coordinates, width); + const y = (await div15.data())[0]; + tfjs_esm_exports.dispose([reshaped, max5, coordinates, mod3, div15]); + return [x, y, newScore]; + } + tfjs_esm_exports.dispose([reshaped, max5]); + return [0, 0, newScore]; +} +async function predict3(image28, config3) { + if (!(model4 == null ? void 0 : model4["executor"]) || !(model4 == null ? void 0 : model4.inputs[0].shape)) + return []; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime3; + const skipFrame = skipped3 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && Object.keys(cache2.keypoints).length > 0) { + skipped3++; + return [cache2]; + } + skipped3 = 0; + return new Promise(async (resolve) => { + const tensor6 = tfjs_esm_exports.tidy(() => { + var _a, _b; + const resize = tfjs_esm_exports.image.resizeBilinear(image28, [((_a = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a[2]) || 0, ((_b = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b[1]) || 0], false); + const enhance2 = tfjs_esm_exports.mul(resize, constants.tf2); + const norm = tfjs_esm_exports.sub(enhance2, constants.tf1); + return norm; + }); + let resT; + if (config3.body.enabled) + resT = model4 == null ? void 0 : model4.execute(tensor6); + lastTime3 = now(); + tfjs_esm_exports.dispose(tensor6); + if (resT) { + cache2.keypoints.length = 0; + const squeeze14 = tfjs_esm_exports.squeeze(resT); + tfjs_esm_exports.dispose(resT); + const stack5 = tfjs_esm_exports.unstack(squeeze14, 2); + tfjs_esm_exports.dispose(squeeze14); + for (let id = 0; id < stack5.length; id++) { + const [x2, y2, partScore] = await max2d(stack5[id], config3.body.minConfidence); + if (partScore > (config3.body.minConfidence || 0)) { + cache2.keypoints.push({ + score: Math.round(100 * partScore) / 100, + part: kpt2[id], + positionRaw: [ + // normalized to 0..1 + // @ts-ignore model is not undefined here + x2 / model4.inputs[0].shape[2], + y2 / model4.inputs[0].shape[1] + ], + position: [ + // normalized to input image size + // @ts-ignore model is not undefined here + Math.round(image28.shape[2] * x2 / model4.inputs[0].shape[2]), + Math.round(image28.shape[1] * y2 / model4.inputs[0].shape[1]) + ] + }); + } + } + stack5.forEach((s) => tfjs_esm_exports.dispose(s)); + } + cache2.score = cache2.keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const x = cache2.keypoints.map((a) => a.position[0]); + const y = cache2.keypoints.map((a) => a.position[1]); + cache2.box = [ + Math.min(...x), + Math.min(...y), + Math.max(...x) - Math.min(...x), + Math.max(...y) - Math.min(...y) + ]; + const xRaw = cache2.keypoints.map((a) => a.positionRaw[0]); + const yRaw = cache2.keypoints.map((a) => a.positionRaw[1]); + cache2.boxRaw = [ + Math.min(...xRaw), + Math.min(...yRaw), + Math.max(...xRaw) - Math.min(...xRaw), + Math.max(...yRaw) - Math.min(...yRaw) + ]; + for (const [name, indexes] of Object.entries(connected2)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + cache2.annotations[name] = pt; + } + resolve([cache2]); + }); +} + +// src/face/facemeshutil.ts +var getBoxSize = (box) => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])]; +var getBoxCenter = (box) => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1]; +var clampBox = (box, input) => box ? [ + Math.trunc(Math.max(0, box.startPoint[0])), + Math.trunc(Math.max(0, box.startPoint[1])), + Math.trunc(Math.min(input.shape[2] || 0, box.endPoint[0]) - Math.max(0, box.startPoint[0])), + Math.trunc(Math.min(input.shape[1] || 0, box.endPoint[1]) - Math.max(0, box.startPoint[1])) +] : [0, 0, 0, 0]; +var getRawBox = (box, input) => box ? [ + box.startPoint[0] / (input.shape[2] || 0), + box.startPoint[1] / (input.shape[1] || 0), + (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0), + (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0) +] : [0, 0, 0, 0]; +var scaleBoxCoordinates = (box, factor, anchor) => { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]); + return { startPoint, endPoint, landmarks, confidence: box.confidence }; +}; +var cutAndResize = (box, image28, cropSize) => { + const h = image28.shape[1]; + const w = image28.shape[2]; + const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]; + const crop = tfjs_esm_exports.image.cropAndResize(image28, [cutBox], [0], cropSize); + const norm = tfjs_esm_exports.div(crop, constants.tf255); + tfjs_esm_exports.dispose(crop); + return norm; +}; +var enlargeBox = (box, factor) => { + const center = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + return { + startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]], + endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]], + landmarks: box.landmarks, + confidence: box.confidence, + size: size2 + }; +}; +var squarifyBox = (box) => { + const centers = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = Math.max(...size2) / 2; + return { + startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)], + endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)], + landmarks: box.landmarks, + confidence: box.confidence, + size: [Math.round(size2[0]), Math.round(size2[1])] + }; +}; +var calculateLandmarksBoundingBox = (landmarks) => { + const x = landmarks.map((d) => d[0]); + const y = landmarks.map((d) => d[1]); + return { + startPoint: [Math.min(...x), Math.min(...y)], + endPoint: [Math.max(...x), Math.max(...y)], + landmarks + }; +}; +var fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]; +var normalizeRadians = (angle) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +var computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0])); +var buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +var dot = (v1, v2) => { + let product = 0; + for (let i = 0; i < v1.length; i++) + product += v1[i] * v2[i]; + return product; +}; +var getColumnFrom2DArr = (arr, columnIndex) => { + const column = []; + for (let i = 0; i < arr.length; i++) + column.push(arr[i][columnIndex]); + return column; +}; +var multiplyTransformMatrices = (mat1, mat2) => { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) + product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col))); + } + return product; +}; +var buildRotationMatrix = (rotation, center) => { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]); + return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix); +}; +var invertTransformMatrix = (matrix) => { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)]; + return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]]; +}; +var rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])]; +function generateAnchors(inputSize10) { + const spec = inputSize10 === 192 ? { strides: [4], anchors: [1] } : { strides: [inputSize10 / 16, inputSize10 / 8], anchors: [2, 6] }; + const anchors3 = []; + for (let i = 0; i < spec.strides.length; i++) { + const stride = spec.strides[i]; + const gridRows = Math.floor((inputSize10 + stride - 1) / stride); + const gridCols = Math.floor((inputSize10 + stride - 1) / stride); + const anchorsNum = spec.anchors[i]; + for (let gridY = 0; gridY < gridRows; gridY++) { + const anchorY = stride * (gridY + 0.5); + for (let gridX = 0; gridX < gridCols; gridX++) { + const anchorX = stride * (gridX + 0.5); + for (let n = 0; n < anchorsNum; n++) + anchors3.push([anchorX, anchorY]); + } + } + } + return anchors3; +} +function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize10) { + const boxSize = getBoxSize(box); + const coordsScaled = coordsRaw.map((coord) => [ + // scaled around zero-point + boxSize[0] / inputSize10 * (coord[0] - inputSize10 / 2), + boxSize[1] / inputSize10 * (coord[1] - inputSize10 / 2), + coord[2] || 0 + ]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix; + const coordsRotated = largeAngle ? coordsScaled.map((coord) => [...rotatePoint(coord, coordsRotationMatrix), coord[2]]) : coordsScaled; + const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix; + const boxCenter = getBoxCenter(box); + const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + offsets[0]), + Math.trunc(coord[1] + offsets[1]), + Math.trunc(coord[2] || 0) + ]); +} +function correctFaceRotation(rotate, box, input, inputSize10) { + const symmetryLine = box.landmarks.length >= meshLandmarks.count ? meshLandmarks.symmetryLine : blazeFaceLandmarks.symmetryLine; + let angle = 0; + let rotationMatrix = fixedRotationMatrix; + let face4; + if (rotate && env.kernels.includes("rotatewithoffset")) { + angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + if (largeAngle) { + const center = getBoxCenter(box); + const centerRaw = [center[0] / input.shape[2], center[1] / input.shape[1]]; + const rotated = tfjs_esm_exports.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); + rotationMatrix = buildRotationMatrix(-angle, center); + face4 = cutAndResize(box, rotated, [inputSize10, inputSize10]); + tfjs_esm_exports.dispose(rotated); + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + return [angle, rotationMatrix, face4]; +} +var findFaceCenter = (mesh) => { + const x = mesh.map((m) => m[0]); + const y = mesh.map((m) => m[1]); + return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2]; +}; +var calculateFaceBox = (mesh, previousBox) => { + const center = findFaceCenter(mesh); + const boxSize = getBoxSize(previousBox); + const calculatedBox = { + startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2], + endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] + }; + return calculatedBox; +}; + +// src/face/blazeface.ts +var keypointsCount = 6; +var faceBoxScaleFactor = 1.4; +var model5; +var anchors = null; +var inputSize4 = 0; +var inputSizeT = null; +var size = () => inputSize4; +async function load3(config3) { + var _a; + if (env.initial) + model5 = null; + if (!model5) + model5 = await loadModel((_a = config3.face.detector) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model5["modelUrl"]); + inputSize4 = model5["executor"] && model5.inputs[0].shape ? model5.inputs[0].shape[2] : 256; + inputSizeT = tfjs_esm_exports.scalar(inputSize4, "int32"); + anchors = tfjs_esm_exports.tensor2d(generateAnchors(inputSize4)); + return model5; +} +function decodeBoxes2(boxOutputs) { + if (!anchors || !inputSizeT) + return tfjs_esm_exports.zeros([0, 0]); + const t2 = {}; + t2.boxStarts = tfjs_esm_exports.slice(boxOutputs, [0, 1], [-1, 2]); + t2.centers = tfjs_esm_exports.add(t2.boxStarts, anchors); + t2.boxSizes = tfjs_esm_exports.slice(boxOutputs, [0, 3], [-1, 2]); + t2.boxSizesNormalized = tfjs_esm_exports.div(t2.boxSizes, inputSizeT); + t2.centersNormalized = tfjs_esm_exports.div(t2.centers, inputSizeT); + t2.halfBoxSize = tfjs_esm_exports.div(t2.boxSizesNormalized, constants.tf2); + t2.starts = tfjs_esm_exports.sub(t2.centersNormalized, t2.halfBoxSize); + t2.ends = tfjs_esm_exports.add(t2.centersNormalized, t2.halfBoxSize); + t2.startNormalized = tfjs_esm_exports.mul(t2.starts, inputSizeT); + t2.endNormalized = tfjs_esm_exports.mul(t2.ends, inputSizeT); + const boxes = tfjs_esm_exports.concat2d([t2.startNormalized, t2.endNormalized], 1); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return boxes; +} +async function getBoxes(inputImage, config3) { + var _a, _b, _c, _d, _e, _f; + if (!inputImage || inputImage["isDisposedInternal"] || inputImage.shape.length !== 4 || inputImage.shape[1] < 1 || inputImage.shape[2] < 1) + return []; + const t2 = {}; + t2.resized = tfjs_esm_exports.image.resizeBilinear(inputImage, [inputSize4, inputSize4]); + t2.div = tfjs_esm_exports.div(t2.resized, constants.tf127); + t2.normalized = tfjs_esm_exports.sub(t2.div, constants.tf05); + const res = model5 == null ? void 0 : model5.execute(t2.normalized); + if (Array.isArray(res) && res.length > 2) { + const sorted = res.sort((a, b) => a.size - b.size); + t2.concat384 = tfjs_esm_exports.concat([sorted[0], sorted[2]], 2); + t2.concat512 = tfjs_esm_exports.concat([sorted[1], sorted[3]], 2); + t2.concat = tfjs_esm_exports.concat([t2.concat512, t2.concat384], 1); + t2.batch = tfjs_esm_exports.squeeze(t2.concat, [0]); + } else if (Array.isArray(res)) { + t2.batch = tfjs_esm_exports.squeeze(res[0]); + } else { + t2.batch = tfjs_esm_exports.squeeze(res); + } + tfjs_esm_exports.dispose(res); + t2.boxes = decodeBoxes2(t2.batch); + t2.logits = tfjs_esm_exports.slice(t2.batch, [0, 0], [-1, 1]); + t2.sigmoid = tfjs_esm_exports.sigmoid(t2.logits); + t2.scores = tfjs_esm_exports.squeeze(t2.sigmoid); + t2.nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0); + const nms = await t2.nms.array(); + const boxes = []; + const scores = await t2.scores.data(); + for (let i = 0; i < nms.length; i++) { + const confidence = scores[nms[i]]; + if (confidence > (((_d = config3.face.detector) == null ? void 0 : _d.minConfidence) || 0)) { + const b = {}; + b.bbox = tfjs_esm_exports.slice(t2.boxes, [nms[i], 0], [1, -1]); + b.slice = tfjs_esm_exports.slice(t2.batch, [nms[i], keypointsCount - 1], [1, -1]); + b.squeeze = tfjs_esm_exports.squeeze(b.slice); + b.landmarks = tfjs_esm_exports.reshape(b.squeeze, [keypointsCount, -1]); + const points = await b.bbox.data(); + const rawBox = { + startPoint: [points[0], points[1]], + endPoint: [points[2], points[3]], + landmarks: await b.landmarks.array(), + confidence + }; + b.anchor = tfjs_esm_exports.slice(anchors, [nms[i], 0], [1, 2]); + const anchor = await b.anchor.data(); + const scaledBox = scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize4, (inputImage.shape[1] || 0) / inputSize4], anchor); + const enlargedBox = enlargeBox(scaledBox, config3.face["scale"] || faceBoxScaleFactor); + const squaredBox = squarifyBox(enlargedBox); + if (squaredBox.size[0] > (((_e = config3.face.detector) == null ? void 0 : _e["minSize"]) || 0) && squaredBox.size[1] > (((_f = config3.face.detector) == null ? void 0 : _f["minSize"]) || 0)) + boxes.push(squaredBox); + Object.keys(b).forEach((tensor6) => tfjs_esm_exports.dispose(b[tensor6])); + } + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return boxes; +} + +// src/face/iris.ts +var model6; +var inputSize5 = 0; +var irisEnlarge = 2.3; +var leftOutline = meshAnnotations.leftEyeLower0; +var rightOutline = meshAnnotations.rightEyeLower0; +var eyeLandmarks = { + leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]], + rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]] +}; +var irisLandmarks = { + upperCenter: 3, + lowerCenter: 4, + index: 71, + numCoordinates: 76 +}; +async function load4(config3) { + var _a, _b; + if (env.initial) + model6 = null; + if (!model6) + model6 = await loadModel((_a = config3.face.iris) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model6["modelUrl"]); + inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b = model6.inputs) == null ? void 0 : _b[0].shape) ? model6.inputs[0].shape[2] : 0; + if (inputSize5 === -1) + inputSize5 = 64; + return model6; +} +function replaceIrisCoords(rawCoords, newCoords, prefix, keys) { + for (let i = 0; i < irisIndices.length; i++) { + const { key, indices } = irisIndices[i]; + const originalIndices = meshAnnotations[`${prefix}${key}`]; + if (!keys || keys.includes(key)) { + for (let j = 0; j < indices.length; j++) { + const index2 = indices[j]; + rawCoords[originalIndices[j]] = [ + newCoords[index2][0], + newCoords[index2][1], + (newCoords[index2][2] + rawCoords[originalIndices[j]][2]) / 2 + ]; + } + } + } +} +var getLeftToRightEyeDepthDifference = (rawCoords) => { + const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2]; + const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2]; + return leftEyeZ - rightEyeZ; +}; +var getEyeBox = (rawCoords, face4, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => { + const box = squarifyBox(enlargeBox(calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge)); + const boxSize = getBoxSize(box); + let crop = tfjs_esm_exports.image.cropAndResize(face4, [[ + box.startPoint[1] / meshSize, + box.startPoint[0] / meshSize, + box.endPoint[1] / meshSize, + box.endPoint[0] / meshSize + ]], [0], [inputSize5, inputSize5]); + if (flip && env.kernels.includes("flipleftright")) { + const flipped = tfjs_esm_exports.image.flipLeftRight(crop); + tfjs_esm_exports.dispose(crop); + crop = flipped; + } + return { box, boxSize, crop }; +}; +var getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => { + const eyeRawCoords = []; + for (let i = 0; i < irisLandmarks.numCoordinates; i++) { + const x = eyeData[i * 3]; + const y = eyeData[i * 3 + 1]; + const z = eyeData[i * 3 + 2]; + eyeRawCoords.push([ + (flip ? 1 - x / inputSize5 : x / inputSize5) * eyeBoxSize[0] + eyeBox.startPoint[0], + y / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], + z + ]); + } + return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) }; +}; +var getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => { + const upperCenterZ = rawCoords[meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2]; + const lowerCenterZ = rawCoords[meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2]; + const averageZ = (upperCenterZ + lowerCenterZ) / 2; + return irisCoords.map((coord, i) => { + let z = averageZ; + if (i === 2) { + z = upperCenterZ; + } else if (i === 4) { + z = lowerCenterZ; + } + return [coord[0], coord[1], z]; + }); +}; +async function augmentIris(rawCoords, face4, meshSize) { + if (!(model6 == null ? void 0 : model6["executor"])) + return rawCoords; + const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true); + const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true); + const combined = tfjs_esm_exports.concat([leftEyeCrop, rightEyeCrop]); + tfjs_esm_exports.dispose(leftEyeCrop); + tfjs_esm_exports.dispose(rightEyeCrop); + const eyePredictions = model6.execute(combined); + tfjs_esm_exports.dispose(combined); + const eyePredictionsData = await eyePredictions.data(); + tfjs_esm_exports.dispose(eyePredictions); + const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3); + const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true); + const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3); + const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false); + const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords); + if (Math.abs(leftToRightEyeDepthDifference) < 30) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", null); + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", null); + } else if (leftToRightEyeDepthDifference < 1) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", ["EyeUpper0", "EyeLower0"]); + } else { + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", ["EyeUpper0", "EyeLower0"]); + } + const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, "left"); + const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, "right"); + const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords); + return newCoords; +} + +// src/face/attention.ts +async function augment(rawCoords, results) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const t2 = { + // all attention models produce 2d results so it needs to be later augmented with correct z-coords + // mesh: results[0], // already have it in rawCoords // output_mesh_identity + // flag: results[1], // already processed in parent // conv_faceflag + lips: await ((_b = (_a = results.filter((r) => r.size === 160)) == null ? void 0 : _a[0]) == null ? void 0 : _b.data()), + // 80 x 2d = 160 // output_lips + irisL: await ((_d = (_c = results.filter((r) => r.size === 10)) == null ? void 0 : _c[0]) == null ? void 0 : _d.data()), + // 5 x 2d = 10 // output_right_iris + eyeL: await ((_f = (_e = results.filter((r) => r.size === 142)) == null ? void 0 : _e[0]) == null ? void 0 : _f.data()), + // 71 x 2d = 142 // output_right_eye + irisR: await ((_h = (_g = results.filter((r) => r.size === 10)) == null ? void 0 : _g[1]) == null ? void 0 : _h.data()), + // 5 x 2d = 10 // output_left_iris + eyeR: await ((_j = (_i = results.filter((r) => r.size === 142)) == null ? void 0 : _i[1]) == null ? void 0 : _j.data()) + // 71 x 2d = 142// output_left_eye + }; + for (const val of Object.values(t2)) { + if (!val) + return rawCoords; + } + const irisLDepth = LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisL.length / 2; i++) + rawCoords.push([t2.irisL[2 * i + 0], t2.irisL[2 * i + 1], irisLDepth]); + const irisRDepth = LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisR.length / 2; i++) + rawCoords.push([t2.irisR[2 * i + 0], t2.irisR[2 * i + 1], irisRDepth]); + for (let i = 0; i < t2.eyeL.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t2.eyeL[2 * i + 0], t2.eyeL[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.eyeR.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t2.eyeR[2 * i + 0], t2.eyeR[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.lips.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t2.lips[2 * i + 0], t2.lips[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]]; + return rawCoords; +} + +// src/face/facemesh.ts +var cache3 = { + boxes: [], + skipped: Number.MAX_SAFE_INTEGER, + timestamp: 0 +}; +var model7 = null; +var inputSize6 = 0; +async function predict4(input, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - cache3.timestamp; + const skipFrame = cache3.skipped < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0); + if (!config3.skipAllowed || !skipTime || !skipFrame || cache3.boxes.length === 0) { + cache3.boxes = await getBoxes(input, config3); + cache3.timestamp = now(); + cache3.skipped = 0; + } else { + cache3.skipped++; + } + const faces = []; + const newCache = []; + let id = 0; + const size2 = inputSize6; + for (let i = 0; i < cache3.boxes.length; i++) { + const box = cache3.boxes[i]; + let angle = 0; + let rotationMatrix; + const face4 = { + // init face result + id: id++, + mesh: [], + meshRaw: [], + box: [0, 0, 0, 0], + boxRaw: [0, 0, 0, 0], + score: 0, + boxScore: 0, + faceScore: 0, + size: [0, 0], + // contoursRaw: [], + // contours: [], + annotations: {} + }; + [angle, rotationMatrix, face4.tensor] = correctFaceRotation((_c = config3.face.detector) == null ? void 0 : _c.rotation, box, input, ((_d = config3.face.mesh) == null ? void 0 : _d.enabled) ? inputSize6 : size()); + if (config3.filter.equalization) { + const equilized = face4.tensor ? await histogramEqualization(face4.tensor) : void 0; + tfjs_esm_exports.dispose(face4.tensor); + if (equilized) + face4.tensor = equilized; + } + face4.boxScore = Math.round(100 * box.confidence) / 100; + if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled) || !(model7 == null ? void 0 : model7["executor"])) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.size = box.size; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } else if (!model7) { + if (config3.debug) + log("face mesh detection requested, but model is not loaded"); + } else { + if (((_f = config3.face.attention) == null ? void 0 : _f.enabled) && !env.kernels.includes("atan2")) { + config3.face.attention.enabled = false; + tfjs_esm_exports.dispose(face4.tensor); + return faces; + } + const results = model7.execute(face4.tensor); + const confidenceT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1); + const faceConfidence = await confidenceT.data(); + face4.faceScore = Math.round(100 * faceConfidence[0]) / 100; + if (face4.faceScore < (((_g = config3.face.detector) == null ? void 0 : _g.minConfidence) || 1)) { + box.confidence = face4.faceScore; + if (config3.face.mesh["keepInvalid"]) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) { + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } + } + } else { + const meshT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1404); + const coordsReshaped = tfjs_esm_exports.reshape(meshT, [-1, 3]); + let rawCoords = await coordsReshaped.array(); + tfjs_esm_exports.dispose(coordsReshaped); + if ((_h = config3.face.attention) == null ? void 0 : _h.enabled) { + rawCoords = await augment(rawCoords, results); + } else if ((_i = config3.face.iris) == null ? void 0 : _i.enabled) { + rawCoords = await augmentIris(rawCoords, face4.tensor, inputSize6); + } + face4.mesh = transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize6); + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(meshAnnotations)) + face4.annotations[key] = meshAnnotations[key].map((index2) => face4.mesh[index2]); + face4.score = face4.faceScore; + const calculatedBox = { + ...calculateFaceBox(face4.mesh, box), + confidence: box.confidence, + landmarks: box.landmarks, + size: box.size + }; + face4.box = clampBox(calculatedBox, input); + face4.boxRaw = getRawBox(calculatedBox, input); + newCache.push(calculatedBox); + } + tfjs_esm_exports.dispose(results); + } + if (face4.score > (((_j = config3.face.detector) == null ? void 0 : _j.minConfidence) || 1)) + faces.push(face4); + else + tfjs_esm_exports.dispose(face4.tensor); + } + cache3.boxes = newCache; + return faces; +} +async function load5(config3) { + var _a, _b, _c, _d, _e, _f; + if (env.initial) + model7 = null; + if (((_a = config3.face.attention) == null ? void 0 : _a.enabled) && (model7 == null ? void 0 : model7["signature"])) { + if (Object.keys(((_b = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b.outputs) || {}).length < 6) + model7 = null; + } + if (!model7) { + if ((_c = config3.face.attention) == null ? void 0 : _c.enabled) + model7 = await loadModel(config3.face.attention.modelPath); + else + model7 = await loadModel((_d = config3.face.mesh) == null ? void 0 : _d.modelPath); + } else if (config3.debug) { + log("cached model:", model7["modelUrl"]); + } + inputSize6 = model7["executor"] && ((_e = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _e[0].shape) ? (_f = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _f[0].shape[2] : 256; + return model7; +} +var triangulation = TRI468; +var uvmap = UV468; + +// src/gear/emotion.ts +var annotations = []; +var model8; +var last3 = []; +var lastCount = 0; +var lastTime4 = 0; +var skipped4 = Number.MAX_SAFE_INTEGER; +var rgb = false; +async function load6(config3) { + var _a, _b, _c; + if (env.initial) + model8 = null; + if (!model8) { + model8 = await loadModel((_a = config3.face.emotion) == null ? void 0 : _a.modelPath); + rgb = ((_c = (_b = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[3]) === 3; + if (!rgb) + annotations = ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"]; + else + annotations = ["angry", "disgust", "fear", "happy", "neutral", "sad", "surprise"]; + } else if (config3.debug) { + log("cached model:", model8["modelUrl"]); + } + return model8; +} +async function predict5(image28, config3, idx, count2) { + var _a, _b; + if (!model8) + return []; + const skipFrame = skipped4 < (((_a = config3.face.emotion) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.emotion) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime4; + if (config3.skipAllowed && skipTime && skipFrame && lastCount === count2 && last3[idx] && last3[idx].length > 0) { + skipped4++; + return last3[idx]; + } + skipped4 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c; + const obj = []; + if ((_a2 = config3.face.emotion) == null ? void 0 : _a2.enabled) { + const t2 = {}; + const inputSize10 = (model8 == null ? void 0 : model8.inputs[0].shape) ? model8.inputs[0].shape[2] : 0; + if (((_b2 = config3.face.emotion) == null ? void 0 : _b2["crop"]) > 0) { + const crop = (_c = config3.face.emotion) == null ? void 0 : _c["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tfjs_esm_exports.image.cropAndResize(image28, box, [0], [inputSize10, inputSize10]); + } else { + t2.resize = tfjs_esm_exports.image.resizeBilinear(image28, [inputSize10, inputSize10], false); + } + if (rgb) { + t2.mul = tfjs_esm_exports.mul(t2.resize, 255); + t2.normalize = tfjs_esm_exports.sub(t2.mul, [103.939, 116.779, 123.68]); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.normalize); + } else { + t2.channels = tfjs_esm_exports.mul(t2.resize, constants.rgb); + t2.grayscale = tfjs_esm_exports.sum(t2.channels, 3, true); + t2.grayscaleSub = tfjs_esm_exports.sub(t2.grayscale, constants.tf05); + t2.grayscaleMul = tfjs_esm_exports.mul(t2.grayscaleSub, constants.tf2); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.grayscaleMul); + } + lastTime4 = now(); + const data = await t2.emotion.data(); + for (let i = 0; i < data.length; i++) { + if (data[i] > (config3.face.emotion.minConfidence || 0)) + obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] }); + } + obj.sort((a, b) => b.score - a.score); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + } + last3[idx] = obj; + lastCount = count2; + resolve(obj); + }); +} + +// src/face/faceres.ts +var model9; +var last4 = []; +var lastTime5 = 0; +var lastCount2 = 0; +var skipped5 = Number.MAX_SAFE_INTEGER; +async function load7(config3) { + var _a; + if (env.initial) + model9 = null; + if (!model9) + model9 = await loadModel((_a = config3.face.description) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model9["modelUrl"]); + return model9; +} +function enhance(input, config3) { + var _a, _b; + const tensor6 = input.image || input.tensor || input; + if (!(model9 == null ? void 0 : model9.inputs[0].shape)) + return tensor6; + let crop; + if (((_a = config3.face.description) == null ? void 0 : _a["crop"]) > 0) { + const cropval = (_b = config3.face.description) == null ? void 0 : _b["crop"]; + const box = [[cropval, cropval, 1 - cropval, 1 - cropval]]; + crop = tfjs_esm_exports.image.cropAndResize(tensor6, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); + } else { + crop = tfjs_esm_exports.image.resizeBilinear(tensor6, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); + } + const norm = tfjs_esm_exports.mul(crop, constants.tf255); + tfjs_esm_exports.dispose(crop); + return norm; +} +async function predict6(image28, config3, idx, count2) { + var _a, _b, _c, _d; + const obj = { + age: 0, + gender: "unknown", + genderScore: 0, + descriptor: [] + }; + if (!(model9 == null ? void 0 : model9["executor"])) + return obj; + const skipFrame = skipped5 < (((_a = config3.face.description) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.description) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime5; + if (config3.skipAllowed && skipFrame && skipTime && lastCount2 === count2 && ((_c = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _c.age) > 0 && ((_d = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped5++; + return last4[idx]; + } + skipped5 = 0; + return new Promise(async (resolve) => { + var _a2; + if ((_a2 = config3.face.description) == null ? void 0 : _a2.enabled) { + const enhanced = enhance(image28, config3); + const resT = model9 == null ? void 0 : model9.execute(enhanced); + lastTime5 = now(); + tfjs_esm_exports.dispose(enhanced); + const genderT = resT.find((t2) => t2.shape[1] === 1); + const gender2 = await genderT.data(); + const confidence = Math.trunc(200 * Math.abs(gender2[0] - 0.5)) / 100; + if (confidence > (config3.face.description.minConfidence || 0)) { + obj.gender = gender2[0] <= 0.5 ? "female" : "male"; + obj.genderScore = Math.min(0.99, confidence); + } + const argmax = tfjs_esm_exports.argMax(resT.find((t2) => t2.shape[1] === 100), 1); + const ageIdx = (await argmax.data())[0]; + tfjs_esm_exports.dispose(argmax); + const ageT = resT.find((t2) => t2.shape[1] === 100); + const all2 = await ageT.data(); + obj.age = Math.round(all2[ageIdx - 1] > all2[ageIdx + 1] ? 10 * ageIdx - 100 * all2[ageIdx - 1] : 10 * ageIdx + 100 * all2[ageIdx + 1]) / 10; + if (Number.isNaN(gender2[0]) || Number.isNaN(all2[0])) + log("faceres error:", { model: model9, result: resT }); + const desc = resT.find((t2) => t2.shape[1] === 1024); + const descriptor = desc ? await desc.data() : []; + obj.descriptor = Array.from(descriptor); + resT.forEach((t2) => tfjs_esm_exports.dispose(t2)); + } + last4[idx] = obj; + lastCount2 = count2; + resolve(obj); + }); +} + +// src/face/mask.ts +var expandFact = 0.1; +var alpha = 0.5; +function insidePoly(x, y, polygon) { + let inside = false; + let j = polygon.length - 1; + for (let i = 0; i < polygon.length; j = i++) { + if (polygon[i].y > y !== polygon[j].y > y && x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x) + inside = !inside; + } + return inside; +} +async function mask(face4) { + if (!face4.tensor) + return face4.tensor; + if (!face4.mesh || face4.mesh.length < 100) + return face4.tensor; + const width = face4.tensor.shape[2] || 0; + const height = face4.tensor.shape[1] || 0; + const buffer = await face4.tensor.buffer(); + let silhouette = []; + for (const pt of meshAnnotations.silhouette) + silhouette.push({ x: (face4.mesh[pt][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt][1] - face4.box[1]) / face4.box[3] }); + if (expandFact && expandFact > 0) + silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); + for (let x = 0; x < width; x++) { + for (let y = 0; y < height; y++) { + const inside = insidePoly(x / width, y / width, silhouette); + if (!inside) { + buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0); + buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1); + buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2); + } + } + } + const output = buffer.toTensor(); + return output; +} + +// src/face/antispoof.ts +var model10; +var cached = []; +var skipped6 = Number.MAX_SAFE_INTEGER; +var lastCount3 = 0; +var lastTime6 = 0; +async function load8(config3) { + var _a; + if (env.initial) + model10 = null; + if (!model10) + model10 = await loadModel((_a = config3.face.antispoof) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model10["modelUrl"]); + return model10; +} +async function predict7(image28, config3, idx, count2) { + var _a, _b; + if (!(model10 == null ? void 0 : model10["executor"])) + return 0; + const skipTime = (((_a = config3.face.antispoof) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6; + const skipFrame = skipped6 < (((_b = config3.face.antispoof) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount3 === count2 && cached[idx]) { + skipped6++; + return cached[idx]; + } + skipped6 = 0; + return new Promise(async (resolve) => { + const resize = tfjs_esm_exports.image.resizeBilinear(image28, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); + const res = model10 == null ? void 0 : model10.execute(resize); + const num = (await res.data())[0]; + cached[idx] = Math.round(100 * num) / 100; + lastCount3 = count2; + lastTime6 = now(); + tfjs_esm_exports.dispose([resize, res]); + resolve(cached[idx]); + }); +} + +// src/face/liveness.ts +var model11; +var cached2 = []; +var skipped7 = Number.MAX_SAFE_INTEGER; +var lastCount4 = 0; +var lastTime7 = 0; +async function load9(config3) { + var _a; + if (env.initial) + model11 = null; + if (!model11) + model11 = await loadModel((_a = config3.face.liveness) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model11["modelUrl"]); + return model11; +} +async function predict8(image28, config3, idx, count2) { + var _a, _b; + if (!(model11 == null ? void 0 : model11["executor"])) + return 0; + const skipTime = (((_a = config3.face.liveness) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime7; + const skipFrame = skipped7 < (((_b = config3.face.liveness) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount4 === count2 && cached2[idx]) { + skipped7++; + return cached2[idx]; + } + skipped7 = 0; + return new Promise(async (resolve) => { + const resize = tfjs_esm_exports.image.resizeBilinear(image28, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); + const res = model11 == null ? void 0 : model11.execute(resize); + const num = (await res.data())[0]; + cached2[idx] = Math.round(100 * num) / 100; + lastCount4 = count2; + lastTime7 = now(); + tfjs_esm_exports.dispose([resize, res]); + resolve(cached2[idx]); + }); +} + +// src/gear/gear.ts +var model12; +var last5 = []; +var raceNames = ["white", "black", "asian", "indian", "other"]; +var ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65]; +var lastCount5 = 0; +var lastTime8 = 0; +var skipped8 = Number.MAX_SAFE_INTEGER; +async function load10(config3) { + var _a; + if (env.initial) + model12 = null; + if (!model12) + model12 = await loadModel((_a = config3.face.gear) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model12["modelUrl"]); + return model12; +} +async function predict9(image28, config3, idx, count2) { + var _a, _b; + if (!model12) + return { age: 0, gender: "unknown", genderScore: 0, race: [] }; + const skipFrame = skipped8 < (((_a = config3.face.gear) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.gear) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime8; + if (config3.skipAllowed && skipTime && skipFrame && lastCount5 === count2 && last5[idx]) { + skipped8++; + return last5[idx]; + } + skipped8 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c, _d; + if (!(model12 == null ? void 0 : model12.inputs[0].shape)) + return; + const t2 = {}; + let box = [[0, 0.1, 0.9, 0.9]]; + if (((_a2 = config3.face.gear) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face.gear) == null ? void 0 : _b2["crop"]; + box = [[crop, crop, 1 - crop, 1 - crop]]; + } + t2.resize = tfjs_esm_exports.image.cropAndResize(image28, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); + const obj = { age: 0, gender: "unknown", genderScore: 0, race: [] }; + if ((_c = config3.face.gear) == null ? void 0 : _c.enabled) + [t2.age, t2.gender, t2.race] = model12.execute(t2.resize, ["age_output", "gender_output", "race_output"]); + const gender2 = await t2.gender.data(); + obj.gender = gender2[0] > gender2[1] ? "male" : "female"; + obj.genderScore = Math.round(100 * (gender2[0] > gender2[1] ? gender2[0] : gender2[1])) / 100; + const race = await t2.race.data(); + for (let i = 0; i < race.length; i++) { + if (race[i] > (((_d = config3.face.gear) == null ? void 0 : _d.minConfidence) || 0.2)) + obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] }); + } + obj.race.sort((a, b) => b.score - a.score); + const ageDistribution = Array.from(await t2.age.data()); + const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]); + let age2 = ageSorted[0][0]; + for (let i = 1; i < ageSorted.length; i++) + age2 += ageSorted[i][1] * (ageSorted[i][0] - age2); + obj.age = Math.round(10 * age2) / 10; + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + last5[idx] = obj; + lastCount5 = count2; + lastTime8 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-age.ts +var model13; +var last6 = []; +var lastCount6 = 0; +var lastTime9 = 0; +var skipped9 = Number.MAX_SAFE_INTEGER; +async function load11(config3) { + if (env.initial) + model13 = null; + if (!model13) + model13 = await loadModel(config3.face["ssrnet"].modelPathAge); + else if (config3.debug) + log("cached model:", model13["modelUrl"]); + return model13; +} +async function predict10(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model13) + return { age: 0 }; + const skipFrame = skipped9 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime9; + if (config3.skipAllowed && skipFrame && skipTime && lastCount6 === count2 && ((_c = last6[idx]) == null ? void 0 : _c.age) && ((_d = last6[idx]) == null ? void 0 : _d.age) > 0) { + skipped9++; + return last6[idx]; + } + skipped9 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model13 == null ? void 0 : model13.inputs) || !model13.inputs[0] || !model13.inputs[0].shape) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tfjs_esm_exports.image.cropAndResize(image28, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); + } else { + t2.resize = tfjs_esm_exports.image.resizeBilinear(image28, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); + } + t2.enhance = tfjs_esm_exports.mul(t2.resize, constants.tf255); + const obj = { age: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.age = model13.execute(t2.enhance); + if (t2.age) { + const data = await t2.age.data(); + obj.age = Math.trunc(10 * data[0]) / 10; + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + last6[idx] = obj; + lastCount6 = count2; + lastTime9 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-gender.ts +var model14; +var last7 = []; +var lastCount7 = 0; +var lastTime10 = 0; +var skipped10 = Number.MAX_SAFE_INTEGER; +var rgb2 = [0.2989, 0.587, 0.114]; +async function load12(config3) { + var _a; + if (env.initial) + model14 = null; + if (!model14) + model14 = await loadModel((_a = config3.face["ssrnet"]) == null ? void 0 : _a.modelPathGender); + else if (config3.debug) + log("cached model:", model14["modelUrl"]); + return model14; +} +async function predict11(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model14) + return { gender: "unknown", genderScore: 0 }; + const skipFrame = skipped10 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime10; + if (config3.skipAllowed && skipFrame && skipTime && lastCount7 === count2 && ((_c = last7[idx]) == null ? void 0 : _c.gender) && ((_d = last7[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped10++; + return last7[idx]; + } + skipped10 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model14 == null ? void 0 : model14.inputs[0].shape)) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tfjs_esm_exports.image.cropAndResize(image28, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); + } else { + t2.resize = tfjs_esm_exports.image.resizeBilinear(image28, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); + } + t2.enhance = tfjs_esm_exports.tidy(() => { + var _a3, _b3; + let normalize2; + if (((_b3 = (_a3 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a3[0].shape) == null ? void 0 : _b3[3]) === 1) { + const [red, green, blue] = tfjs_esm_exports.split(t2.resize, 3, 3); + const redNorm = tfjs_esm_exports.mul(red, rgb2[0]); + const greenNorm = tfjs_esm_exports.mul(green, rgb2[1]); + const blueNorm = tfjs_esm_exports.mul(blue, rgb2[2]); + const grayscale = tfjs_esm_exports.addN([redNorm, greenNorm, blueNorm]); + normalize2 = tfjs_esm_exports.mul(tfjs_esm_exports.sub(grayscale, constants.tf05), 2); + } else { + normalize2 = tfjs_esm_exports.mul(tfjs_esm_exports.sub(t2.resize, constants.tf05), 2); + } + return normalize2; + }); + const obj = { gender: "unknown", genderScore: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.gender = model14.execute(t2.enhance); + const data = await t2.gender.data(); + obj.gender = data[0] > data[1] ? "female" : "male"; + obj.genderScore = data[0] > data[1] ? Math.trunc(100 * data[0]) / 100 : Math.trunc(100 * data[1]) / 100; + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + last7[idx] = obj; + lastCount7 = count2; + lastTime10 = now(); + resolve(obj); + }); +} + +// src/face/mobilefacenet.ts +var model15; +var last8 = []; +var lastCount8 = 0; +var lastTime11 = 0; +var skipped11 = Number.MAX_SAFE_INTEGER; +async function load13(config3) { + var _a; + if (env.initial) + model15 = null; + if (!model15) + model15 = await loadModel((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model15["modelUrl"]); + return model15; +} +async function predict12(input, config3, idx, count2) { + var _a, _b; + if (!(model15 == null ? void 0 : model15["executor"])) + return []; + const skipFrame = skipped11 < (((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["mobilefacenet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime11; + if (config3.skipAllowed && skipTime && skipFrame && lastCount8 === count2 && last8[idx]) { + skipped11++; + return last8[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["mobilefacenet"]) == null ? void 0 : _a2.enabled) && (model15 == null ? void 0 : model15.inputs[0].shape)) { + const t2 = {}; + t2.crop = tfjs_esm_exports.image.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); + t2.data = model15.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + } + last8[idx] = data; + lastCount8 = count2; + lastTime11 = now(); + resolve(data); + }); +} + +// src/face/insightface.ts +var model16; +var last9 = []; +var lastCount9 = 0; +var lastTime12 = 0; +var skipped12 = Number.MAX_SAFE_INTEGER; +async function load14(config3) { + if (env.initial) + model16 = null; + if (!model16) + model16 = await loadModel(config3.face["insightface"].modelPath); + else if (config3.debug) + log("cached model:", model16["modelUrl"]); + return model16; +} +async function predict13(input, config3, idx, count2) { + var _a, _b; + if (!(model16 == null ? void 0 : model16["executor"])) + return []; + const skipFrame = skipped12 < (((_a = config3.face["insightface"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["insightface"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime12; + if (config3.skipAllowed && skipTime && skipFrame && lastCount9 === count2 && last9[idx]) { + skipped12++; + return last9[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["insightface"]) == null ? void 0 : _a2.enabled) && (model16 == null ? void 0 : model16.inputs[0].shape)) { + const t2 = {}; + t2.crop = tfjs_esm_exports.image.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); + t2.data = model16.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + } + last9[idx] = data; + lastCount9 = count2; + lastTime12 = now(); + resolve(data); + }); +} + +// src/face/angles.ts +var calculateGaze = (face4) => { + const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); + if (!face4.annotations.rightEyeIris || !face4.annotations.leftEyeIris) + return { bearing: 0, strength: 0 }; + const offsetIris = [0, -0.1]; + const eyeRatio = 1; + const left = (face4.mesh[33][2] || 0) > (face4.mesh[263][2] || 0); + const irisCenter = left ? face4.mesh[473] : face4.mesh[468]; + const eyeCenter = left ? [(face4.mesh[133][0] + face4.mesh[33][0]) / 2, (face4.mesh[133][1] + face4.mesh[33][1]) / 2] : [(face4.mesh[263][0] + face4.mesh[362][0]) / 2, (face4.mesh[263][1] + face4.mesh[362][1]) / 2]; + const eyeSize = left ? [face4.mesh[133][0] - face4.mesh[33][0], face4.mesh[23][1] - face4.mesh[27][1]] : [face4.mesh[263][0] - face4.mesh[362][0], face4.mesh[253][1] - face4.mesh[257][1]]; + const eyeDiff = [ + // x distance between extreme point and center point normalized with eye size + (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0], + eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1] + ]; + let strength = Math.sqrt(eyeDiff[0] * eyeDiff[0] + eyeDiff[1] * eyeDiff[1]); + strength = Math.min(strength, face4.boxRaw[2] / 2, face4.boxRaw[3] / 2); + const bearing = (radians([0, 0], eyeDiff) + Math.PI / 2) % Math.PI; + return { bearing, strength }; +}; +var calculateFaceAngle = (face4, imageSize) => { + const normalize2 = (v) => { + const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]); + v[0] /= length; + v[1] /= length; + v[2] /= length; + return v; + }; + const subVectors = (a, b) => { + const x = a[0] - b[0]; + const y = a[1] - b[1]; + const z = a[2] - b[2]; + return [x, y, z]; + }; + const crossVectors = (a, b) => { + const x = a[1] * b[2] - a[2] * b[1]; + const y = a[2] * b[0] - a[0] * b[2]; + const z = a[0] * b[1] - a[1] * b[0]; + return [x, y, z]; + }; + const rotationMatrixToEulerAngle = (r) => { + const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; + let thetaX; + let thetaY; + let thetaZ; + if (r10 < 1) { + if (r10 > -1) { + thetaZ = Math.asin(r10); + thetaY = Math.atan2(-r20, r00); + thetaX = Math.atan2(-r12, r11); + } else { + thetaZ = -Math.PI / 2; + thetaY = -Math.atan2(r21, r22); + thetaX = 0; + } + } else { + thetaZ = Math.PI / 2; + thetaY = Math.atan2(r21, r22); + thetaX = 0; + } + if (Number.isNaN(thetaX)) + thetaX = 0; + if (Number.isNaN(thetaY)) + thetaY = 0; + if (Number.isNaN(thetaZ)) + thetaZ = 0; + return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ }; + }; + const mesh = face4.meshRaw; + if (!mesh || mesh.length < 300) + return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } }; + const size2 = Math.max(face4.boxRaw[2] * imageSize[0], face4.boxRaw[3] * imageSize[1]) / 1.5; + const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size2, pt[1] * imageSize[1] / size2, pt[2]]); + const yAxis = normalize2(subVectors(pts[1], pts[0])); + let xAxis = normalize2(subVectors(pts[3], pts[2])); + const zAxis = normalize2(crossVectors(xAxis, yAxis)); + xAxis = crossVectors(yAxis, zAxis); + const matrix = [ + xAxis[0], + xAxis[1], + xAxis[2], + yAxis[0], + yAxis[1], + yAxis[2], + zAxis[0], + zAxis[1], + zAxis[2] + ]; + const angle = rotationMatrixToEulerAngle(matrix); + const gaze = mesh.length === 478 ? calculateGaze(face4) : { bearing: 0, strength: 0 }; + return { angle, matrix, gaze }; +}; + +// src/face/anthropometry.ts +function calculateCameraDistance(face4, width) { + const f = face4 == null ? void 0 : face4.annotations; + if (!(f == null ? void 0 : f.leftEyeIris) || !(f == null ? void 0 : f.rightEyeIris)) + return 0; + const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width; + const cameraDistance = Math.round(1.17 / irisSize) / 100; + return cameraDistance; +} + +// src/face/face.ts +var detectFace = async (instance, input) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w; + let timeStamp = now(); + let ageRes; + let gearRes; + let genderRes; + let emotionRes; + let mobilefacenetRes; + let insightfaceRes; + let antispoofRes; + let livenessRes; + let descRes; + const faceRes = []; + instance.state = "run:face"; + const faces = await predict4(input, instance.config); + instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + if (!input.shape || input.shape.length !== 4) + return []; + if (!faces) + return []; + for (let i = 0; i < faces.length; i++) { + instance.analyze("Get Face"); + if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) { + log("Face object is disposed:", faces[i].tensor); + continue; + } + if ((_a = instance.config.face.detector) == null ? void 0 : _a.mask) { + const masked = await mask(faces[i]); + tfjs_esm_exports.dispose(faces[i].tensor); + if (masked) + faces[i].tensor = masked; + } + const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null; + instance.analyze("Start Emotion:"); + if (instance.config.async) { + emotionRes = ((_b = instance.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : []; + } else { + instance.state = "run:emotion"; + timeStamp = now(); + emotionRes = ((_c = instance.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : []; + instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Emotion:"); + instance.analyze("Start AntiSpoof:"); + if (instance.config.async) { + antispoofRes = ((_d = instance.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:antispoof"; + timeStamp = now(); + antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End AntiSpoof:"); + instance.analyze("Start Liveness:"); + if (instance.config.async) { + livenessRes = ((_f = instance.config.face.liveness) == null ? void 0 : _f.enabled) ? predict8(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:liveness"; + timeStamp = now(); + livenessRes = ((_g = instance.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict8(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Liveness:"); + instance.analyze("Start GEAR:"); + if (instance.config.async) { + gearRes = ((_h = instance.config.face.gear) == null ? void 0 : _h.enabled) ? predict9(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:gear"; + timeStamp = now(); + gearRes = ((_i = instance.config.face.gear) == null ? void 0 : _i.enabled) ? await predict9(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + instance.performance.gear = Math.trunc(now() - timeStamp); + } + instance.analyze("End GEAR:"); + instance.analyze("Start SSRNet:"); + if (instance.config.async) { + ageRes = ((_j = instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) ? predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_k = instance.config.face["ssrnet"]) == null ? void 0 : _k.enabled) ? predict11(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:ssrnet"; + timeStamp = now(); + ageRes = ((_l = instance.config.face["ssrnet"]) == null ? void 0 : _l.enabled) ? await predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_m = instance.config.face["ssrnet"]) == null ? void 0 : _m.enabled) ? await predict11(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + instance.performance.ssrnet = Math.trunc(now() - timeStamp); + } + instance.analyze("End SSRNet:"); + instance.analyze("Start MobileFaceNet:"); + if (instance.config.async) { + mobilefacenetRes = ((_n = instance.config.face["mobilefacenet"]) == null ? void 0 : _n.enabled) ? predict12(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + mobilefacenetRes = ((_o = instance.config.face["mobilefacenet"]) == null ? void 0 : _o.enabled) ? await predict12(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End MobileFaceNet:"); + instance.analyze("Start InsightFace:"); + if (instance.config.async) { + insightfaceRes = ((_p = instance.config.face["insightface"]) == null ? void 0 : _p.enabled) ? predict13(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + insightfaceRes = ((_q = instance.config.face["insightface"]) == null ? void 0 : _q.enabled) ? await predict13(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End InsightFace:"); + instance.analyze("Start Description:"); + if (instance.config.async) { + descRes = predict6(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length); + } else { + instance.state = "run:description"; + timeStamp = now(); + descRes = await predict6(faces[i].tensor || tfjs_esm_exports.tensor([]), instance.config, i, faces.length); + instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Description:"); + if (instance.config.async) { + [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]); + } + instance.analyze("Finish Face:"); + if (((_r = instance.config.face["ssrnet"]) == null ? void 0 : _r.enabled) && ageRes && genderRes) { + descRes = { + ...descRes, + age: ageRes.age, + gender: genderRes.gender, + genderScore: genderRes.genderScore + }; + } + if (((_s = instance.config.face.gear) == null ? void 0 : _s.enabled) && gearRes) { + descRes = { + ...descRes, + age: gearRes.age, + gender: gearRes.gender, + genderScore: gearRes.genderScore, + race: gearRes.race + }; + } + if (((_t = instance.config.face["mobilefacenet"]) == null ? void 0 : _t.enabled) && mobilefacenetRes) { + descRes.descriptor = mobilefacenetRes; + } + if (((_u = instance.config.face["insightface"]) == null ? void 0 : _u.enabled) && insightfaceRes) { + descRes.descriptor = insightfaceRes; + } + const irisSize = ((_v = instance.config.face.iris) == null ? void 0 : _v.enabled) ? calculateCameraDistance(faces[i], input.shape[2]) : 0; + const tensor6 = ((_w = instance.config.face.detector) == null ? void 0 : _w.return) ? tfjs_esm_exports.squeeze(faces[i].tensor) : null; + tfjs_esm_exports.dispose(faces[i].tensor); + if (faces[i].tensor) + delete faces[i].tensor; + const res = { + ...faces[i], + id: i + }; + if (descRes.age) + res.age = descRes.age; + if (descRes.gender) + res.gender = descRes.gender; + if (descRes.genderScore) + res.genderScore = descRes.genderScore; + if (descRes.descriptor) + res.embedding = descRes.descriptor; + if (descRes.race) + res.race = descRes.race; + if (emotionRes) + res.emotion = emotionRes; + if (antispoofRes) + res.real = antispoofRes; + if (livenessRes) + res.live = livenessRes; + if (irisSize > 0) + res.distance = irisSize; + if (rotation) + res.rotation = rotation; + if (tensor6) + res.tensor = tensor6; + faceRes.push(res); + instance.analyze("End Face"); + } + instance.analyze("End FaceMesh:"); + if (instance.config.async) { + if (instance.performance.face) + delete instance.performance.face; + if (instance.performance.age) + delete instance.performance.age; + if (instance.performance.gender) + delete instance.performance.gender; + if (instance.performance.emotion) + delete instance.performance.emotion; + } + return faceRes; +}; + +// src/hand/fingerdef.ts +var Finger = { + thumb: 0, + index: 1, + middle: 2, + ring: 3, + pinky: 4, + all: [0, 1, 2, 3, 4], + // just for convenience + nameMapping: { 0: "thumb", 1: "index", 2: "middle", 3: "ring", 4: "pinky" }, + // Describes mapping of joints based on the 21 points returned by handpose. + // [0] Palm + // [1-4] Thumb + // [5-8] Index + // [9-12] Middle + // [13-16] Ring + // [17-20] Pinky + pointsMapping: { + 0: [[0, 1], [1, 2], [2, 3], [3, 4]], + 1: [[0, 5], [5, 6], [6, 7], [7, 8]], + 2: [[0, 9], [9, 10], [10, 11], [11, 12]], + 3: [[0, 13], [13, 14], [14, 15], [15, 16]], + 4: [[0, 17], [17, 18], [18, 19], [19, 20]] + }, + getName: (value) => Finger.nameMapping[value], + getPoints: (value) => Finger.pointsMapping[value] +}; +var FingerCurl = { + none: 0, + half: 1, + full: 2, + nameMapping: { 0: "none", 1: "half", 2: "full" }, + getName: (value) => FingerCurl.nameMapping[value] +}; +var FingerDirection = { + verticalUp: 0, + verticalDown: 1, + horizontalLeft: 2, + horizontalRight: 3, + diagonalUpRight: 4, + diagonalUpLeft: 5, + diagonalDownRight: 6, + diagonalDownLeft: 7, + nameMapping: { 0: "verticalUp", 1: "verticalDown", 2: "horizontalLeft", 3: "horizontalRight", 4: "diagonalUpRight", 5: "diagonalUpLeft", 6: "diagonalDownRight", 7: "diagonalDownLeft" }, + getName: (value) => FingerDirection.nameMapping[value] +}; +var FingerGesture = class { + constructor(name) { + __publicField(this, "name"); + __publicField(this, "curls"); + __publicField(this, "directions"); + __publicField(this, "weights"); + __publicField(this, "weightsRelative"); + this.name = name; + this.curls = {}; + this.directions = {}; + this.weights = [1, 1, 1, 1, 1]; + this.weightsRelative = [1, 1, 1, 1, 1]; + } + curl(finger, curl, confidence) { + if (typeof this.curls[finger] === "undefined") + this.curls[finger] = []; + this.curls[finger].push([curl, confidence]); + } + direction(finger, position, confidence) { + if (!this.directions[finger]) + this.directions[finger] = []; + this.directions[finger].push([position, confidence]); + } + weight(finger, weight) { + this.weights[finger] = weight; + const total = this.weights.reduce((a, b) => a + b, 0); + this.weightsRelative = this.weights.map((el) => el * 5 / total); + } + matchAgainst(detectedCurls, detectedDirections) { + let confidence = 0; + for (const fingerIdx in detectedCurls) { + const detectedCurl = detectedCurls[fingerIdx]; + const expectedCurls = this.curls[fingerIdx]; + if (typeof expectedCurls === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedCurl, score] of expectedCurls) { + if (detectedCurl === expectedCurl) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + for (const fingerIdx in detectedDirections) { + const detectedDirection = detectedDirections[fingerIdx]; + const expectedDirections = this.directions[fingerIdx]; + if (typeof expectedDirections === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedDirection, score] of expectedDirections) { + if (detectedDirection === expectedDirection) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + return confidence / 10; + } +}; + +// src/hand/fingergesture.ts +var { thumb, index, middle, ring, pinky } = Finger; +var { none, half, full } = FingerCurl; +var { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection; +var ThumbsUp = new FingerGesture("thumbs up"); +ThumbsUp.curl(thumb, none, 1); +ThumbsUp.direction(thumb, verticalUp, 1); +ThumbsUp.direction(thumb, diagonalUpLeft, 0.25); +ThumbsUp.direction(thumb, diagonalUpRight, 0.25); +for (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) { + ThumbsUp.curl(finger, full, 1); + ThumbsUp.direction(finger, horizontalLeft, 1); + ThumbsUp.direction(finger, horizontalRight, 1); +} +var Victory = new FingerGesture("victory"); +Victory.curl(thumb, half, 0.5); +Victory.curl(thumb, none, 0.5); +Victory.direction(thumb, verticalUp, 1); +Victory.direction(thumb, diagonalUpLeft, 1); +Victory.curl(index, none, 1); +Victory.direction(index, verticalUp, 0.75); +Victory.direction(index, diagonalUpLeft, 1); +Victory.curl(middle, none, 1); +Victory.direction(middle, verticalUp, 1); +Victory.direction(middle, diagonalUpLeft, 0.75); +Victory.curl(ring, full, 1); +Victory.direction(ring, verticalUp, 0.2); +Victory.direction(ring, diagonalUpLeft, 1); +Victory.direction(ring, horizontalLeft, 0.2); +Victory.curl(pinky, full, 1); +Victory.direction(pinky, verticalUp, 0.2); +Victory.direction(pinky, diagonalUpLeft, 1); +Victory.direction(pinky, horizontalLeft, 0.2); +Victory.weight(index, 2); +Victory.weight(middle, 2); +var Point = new FingerGesture("point"); +Point.curl(thumb, full, 1); +Point.curl(index, none, 0.5); +Point.curl(middle, full, 0.5); +Point.curl(ring, full, 0.5); +Point.curl(pinky, full, 0.5); +Point.weight(index, 2); +Point.weight(middle, 2); +var MiddleFinger = new FingerGesture("middle finger"); +MiddleFinger.curl(thumb, none, 1); +MiddleFinger.curl(index, full, 0.5); +MiddleFinger.curl(middle, full, 0.5); +MiddleFinger.curl(ring, full, 0.5); +MiddleFinger.curl(pinky, full, 0.5); +MiddleFinger.weight(index, 2); +MiddleFinger.weight(middle, 2); +var OpenPalm = new FingerGesture("open palm"); +OpenPalm.curl(thumb, none, 0.75); +OpenPalm.curl(index, none, 0.75); +OpenPalm.curl(middle, none, 0.75); +OpenPalm.curl(ring, none, 0.75); +OpenPalm.curl(pinky, none, 0.75); +var fingergesture_default = [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm]; + +// src/hand/fingerpose.ts +var minConfidence = 0.7; +var options3 = { + // curl estimation + HALF_CURL_START_LIMIT: 60, + NO_CURL_START_LIMIT: 130, + // direction estimation + DISTANCE_VOTE_POWER: 1.1, + SINGLE_ANGLE_VOTE_POWER: 0.9, + TOTAL_ANGLE_VOTE_POWER: 1.6 +}; +function calculateSlope(point1x, point1y, point2x, point2y) { + const value = (point1y - point2y) / (point1x - point2x); + let slope = Math.atan(value) * 180 / Math.PI; + if (slope <= 0) + slope = -slope; + else if (slope > 0) + slope = 180 - slope; + return slope; +} +function getSlopes(point1, point2) { + if (!point1 || !point2) + return [0, 0]; + const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]); + if (point1.length === 2) + return slopeXY; + const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]); + return [slopeXY, slopeYZ]; +} +function angleOrientationAt(angle, weightageAt = 1) { + let isVertical = 0; + let isDiagonal = 0; + let isHorizontal = 0; + if (angle >= 75 && angle <= 105) + isVertical = 1 * weightageAt; + else if (angle >= 25 && angle <= 155) + isDiagonal = 1 * weightageAt; + else + isHorizontal = 1 * weightageAt; + return [isVertical, isDiagonal, isHorizontal]; +} +function estimateFingerCurl(startPoint, midPoint, endPoint) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const start_mid_z_dist = startPoint[2] - midPoint[2]; + const start_end_z_dist = startPoint[2] - endPoint[2]; + const mid_end_z_dist = midPoint[2] - endPoint[2]; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist); + let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist); + if (cos_in > 1) + cos_in = 1; + else if (cos_in < -1) + cos_in = -1; + let angleOfCurve = Math.acos(cos_in); + angleOfCurve = 57.2958 * angleOfCurve % 180; + let fingerCurl; + if (angleOfCurve > options3.NO_CURL_START_LIMIT) + fingerCurl = FingerCurl.none; + else if (angleOfCurve > options3.HALF_CURL_START_LIMIT) + fingerCurl = FingerCurl.half; + else + fingerCurl = FingerCurl.full; + return fingerCurl; +} +function estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + if (max_dist_x === Math.abs(start_end_x_dist)) { + if (start_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else if (max_dist_x === Math.abs(start_mid_x_dist)) { + if (start_mid_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else { + if (mid_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } + return estimatedDirection; +} +function estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) { + let estimatedDirection; + if (max_dist_y === Math.abs(start_end_y_dist)) { + if (start_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else if (max_dist_y === Math.abs(start_mid_y_dist)) { + if (start_mid_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else { + if (mid_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } + return estimatedDirection; +} +function estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + if (reqd_vertical_direction === FingerDirection.verticalUp) { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalUpLeft; + else + estimatedDirection = FingerDirection.diagonalUpRight; + } else { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalDownLeft; + else + estimatedDirection = FingerDirection.diagonalDownRight; + } + return estimatedDirection; +} +function calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist)); + const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist)); + let voteVertical = 0; + let voteDiagonal = 0; + let voteHorizontal = 0; + const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 1e-5); + if (start_end_x_y_dist_ratio > 1.5) + voteVertical += options3.DISTANCE_VOTE_POWER; + else if (start_end_x_y_dist_ratio > 0.66) + voteDiagonal += options3.DISTANCE_VOTE_POWER; + else + voteHorizontal += options3.DISTANCE_VOTE_POWER; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist); + const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist); + let calc_start_point_x = startPoint[0]; + let calc_start_point_y = startPoint[1]; + let calc_end_point_x = endPoint[0]; + let calc_end_point_y = endPoint[1]; + if (max_dist === start_mid_dist) { + calc_end_point_x = endPoint[0]; + calc_end_point_y = endPoint[1]; + } else if (max_dist === mid_end_dist) { + calc_start_point_x = midPoint[0]; + calc_start_point_y = midPoint[1]; + } + const calcStartPoint = [calc_start_point_x, calc_start_point_y]; + const calcEndPoint = [calc_end_point_x, calc_end_point_y]; + const totalAngle = getSlopes(calcStartPoint, calcEndPoint); + const votes = angleOrientationAt(totalAngle, options3.TOTAL_ANGLE_VOTE_POWER); + voteVertical += votes[0]; + voteDiagonal += votes[1]; + voteHorizontal += votes[2]; + for (const fingerSlope of fingerSlopes) { + const fingerVotes = angleOrientationAt(fingerSlope, options3.SINGLE_ANGLE_VOTE_POWER); + voteVertical += fingerVotes[0]; + voteDiagonal += fingerVotes[1]; + voteHorizontal += fingerVotes[2]; + } + let estimatedDirection; + if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } else { + estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } + return estimatedDirection; +} +function estimate(landmarks) { + const slopesXY = []; + const slopesYZ = []; + const fingerCurls = []; + const fingerDirections = []; + if (!landmarks) + return { curls: fingerCurls, directions: fingerDirections }; + for (const finger of Finger.all) { + const points = Finger.getPoints(finger); + const slopeAtXY = []; + const slopeAtYZ = []; + for (const point2 of points) { + const point1 = landmarks[point2[0]]; + const point22 = landmarks[point2[1]]; + const slopes = getSlopes(point1, point22); + const slopeXY = slopes[0]; + const slopeYZ = slopes[1]; + slopeAtXY.push(slopeXY); + slopeAtYZ.push(slopeYZ); + } + slopesXY.push(slopeAtXY); + slopesYZ.push(slopeAtYZ); + } + for (const finger of Finger.all) { + const pointIndexAt = finger === Finger.thumb ? 1 : 0; + const fingerPointsAt = Finger.getPoints(finger); + const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]]; + const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]]; + const endPoint = landmarks[fingerPointsAt[3][1]]; + const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint); + const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt)); + fingerCurls[finger] = fingerCurled; + fingerDirections[finger] = fingerPosition; + } + return { curls: fingerCurls, directions: fingerDirections }; +} +function analyze(keypoints) { + if (!keypoints || keypoints.length === 0) + return null; + const estimatorRes = estimate(keypoints); + const landmarks = {}; + for (const fingerIdx of Finger.all) { + landmarks[Finger.getName(fingerIdx)] = { + curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]), + direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]) + }; + } + return landmarks; +} +function match(keypoints) { + const poses = []; + if (!keypoints || keypoints.length === 0) + return poses; + const estimatorRes = estimate(keypoints); + for (const gesture2 of fingergesture_default) { + const confidence = gesture2.matchAgainst(estimatorRes.curls, estimatorRes.directions); + if (confidence >= minConfidence) + poses.push({ name: gesture2.name, confidence }); + } + return poses; +} + +// src/gesture/gesture.ts +var body2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const leftWrist = res[i].keypoints.find((a) => a.part === "leftWrist"); + const rightWrist = res[i].keypoints.find((a) => a.part === "rightWrist"); + const nose = res[i].keypoints.find((a) => a.part === "nose"); + if (nose && leftWrist && rightWrist && leftWrist.position[1] < nose.position[1] && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "i give up" }); + else if (nose && leftWrist && leftWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise left hand" }); + else if (nose && rightWrist && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise right hand" }); + const leftShoulder = res[i].keypoints.find((a) => a.part === "leftShoulder"); + const rightShoulder = res[i].keypoints.find((a) => a.part === "rightShoulder"); + if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) { + gestures.push({ body: i, gesture: `leaning ${leftShoulder.position[1] > rightShoulder.position[1] ? "left" : "right"}` }); + } + } + return gestures; +}; +var face2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (res[i].mesh && res[i].mesh.length > 450) { + const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0); + const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0]; + if (Math.abs(zDiff / xDiff) <= 0.15) + gestures.push({ face: i, gesture: "facing center" }); + else + gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? "left" : "right"}` }); + const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); + if (openLeft < 0.2) + gestures.push({ face: i, gesture: "blink left eye" }); + const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); + if (openRight < 0.2) + gestures.push({ face: i, gesture: "blink right eye" }); + const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1])); + if (mouthOpen > 10) + gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` }); + const chinDepth = res[i].mesh[152][2] || 0; + if (Math.abs(chinDepth) > 10) + gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? "up" : "down"}` }); + } + } + return gestures; +}; +var iris2 = (res) => { + var _a, _b, _c, _d; + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (!((_b = (_a = res[i].annotations) == null ? void 0 : _a.leftEyeIris) == null ? void 0 : _b[0]) || !((_d = (_c = res[i].annotations) == null ? void 0 : _c.rightEyeIris) == null ? void 0 : _d[0])) + continue; + const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0]; + const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1]; + const areaLeft = Math.abs(sizeXLeft * sizeYLeft); + const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0]; + const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1]; + const areaRight = Math.abs(sizeXRight * sizeYRight); + let center = false; + const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight); + if (difference < 0.25) { + center = true; + gestures.push({ iris: i, gesture: "facing center" }); + } + const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2]; + const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2]; + if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) + center = false; + if (leftIrisCenterX > rightIrisCenterX) { + if (leftIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking right" }); + } else { + if (rightIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking left" }); + } + const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3]; + const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3]; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + center = false; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) + gestures.push({ iris: i, gesture: "looking down" }); + if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + gestures.push({ iris: i, gesture: "looking up" }); + if (center) + gestures.push({ iris: i, gesture: "looking center" }); + } + return gestures; +}; +var hand2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const fingers = []; + if (res[i].annotations) { + for (const [finger, pos] of Object.entries(res[i].annotations)) { + if (finger !== "palmBase" && Array.isArray(pos) && pos[0]) + fingers.push({ name: finger.toLowerCase(), position: pos[0] }); + } + } + if (fingers && fingers.length > 0) { + const closest = fingers.reduce((best, a) => (best.position[2] || 0) < (a.position[2] || 0) ? best : a); + gestures.push({ hand: i, gesture: `${closest.name} forward` }); + const highest = fingers.reduce((best, a) => best.position[1] < a.position[1] ? best : a); + gestures.push({ hand: i, gesture: `${highest.name} up` }); + } + if (res[i].keypoints) { + const poses = match(res[i].keypoints); + for (const pose of poses) + gestures.push({ hand: i, gesture: pose.name }); + } + } + return gestures; +}; + +// src/hand/handposeutil.ts +function getBoxSize2(box) { + return [ + Math.abs(box.endPoint[0] - box.startPoint[0]), + Math.abs(box.endPoint[1] - box.startPoint[1]) + ]; +} +function getBoxCenter2(box) { + return [ + box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, + box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2 + ]; +} +function cutBoxFromImageAndResize(box, image28, cropSize) { + const h = image28.shape[1]; + const w = image28.shape[2]; + const boxes = [[ + box.startPoint[1] / h, + box.startPoint[0] / w, + box.endPoint[1] / h, + box.endPoint[0] / w + ]]; + return tfjs_esm_exports.image.cropAndResize(image28, boxes, [0], cropSize); +} +function scaleBoxCoordinates2(box, factor) { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const palmLandmarks = box.palmLandmarks.map((coord) => { + const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]]; + return scaledCoord; + }); + return { startPoint, endPoint, palmLandmarks, confidence: box.confidence }; +} +function enlargeBox2(box, factor = 1.5) { + const center = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const newHalfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]]; + const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function squarifyBox2(box) { + const centers = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const maxEdge = Math.max(...size2); + const halfSize = maxEdge / 2; + const startPoint = [centers[0] - halfSize, centers[1] - halfSize]; + const endPoint = [centers[0] + halfSize, centers[1] + halfSize]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function normalizeRadians2(angle) { + return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +} +function computeRotation2(point1, point2) { + const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]); + return normalizeRadians2(radians); +} +var buildTranslationMatrix2 = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +function dot2(v1, v2) { + let product = 0; + for (let i = 0; i < v1.length; i++) { + product += v1[i] * v2[i]; + } + return product; +} +function getColumnFrom2DArr2(arr, columnIndex) { + const column = []; + for (let i = 0; i < arr.length; i++) { + column.push(arr[i][columnIndex]); + } + return column; +} +function multiplyTransformMatrices2(mat1, mat2) { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) { + product[row].push(dot2(mat1[row], getColumnFrom2DArr2(mat2, col))); + } + } + return product; +} +function buildRotationMatrix2(rotation, center) { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix2(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices2(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix2(-center[0], -center[1]); + return multiplyTransformMatrices2(translationTimesRotation, negativeTranslationMatrix); +} +function invertTransformMatrix2(matrix) { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [ + -dot2(rotationComponent[0], translationComponent), + -dot2(rotationComponent[1], translationComponent) + ]; + return [ + rotationComponent[0].concat(invertedTranslation[0]), + rotationComponent[1].concat(invertedTranslation[1]), + [0, 0, 1] + ]; +} +function rotatePoint2(homogeneousCoordinate, rotationMatrix) { + return [ + dot2(homogeneousCoordinate, rotationMatrix[0]), + dot2(homogeneousCoordinate, rotationMatrix[1]) + ]; +} + +// src/hand/handposeanchors.ts +var anchors2 = [ + { x: 0.015625, y: 0.015625 }, + { x: 0.015625, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 } +]; + +// src/hand/handposedetector.ts +var HandDetector = class { + constructor(model23) { + __publicField(this, "model"); + __publicField(this, "anchors"); + __publicField(this, "anchorsTensor"); + __publicField(this, "inputSize"); + __publicField(this, "inputSizeTensor"); + __publicField(this, "doubleInputSizeTensor"); + var _a, _b, _c, _d; + this.model = model23; + this.anchors = anchors2.map((anchor) => [anchor.x, anchor.y]); + this.anchorsTensor = tfjs_esm_exports.tensor2d(this.anchors); + this.inputSize = ((_d = (_c = (_b = (_a = this == null ? void 0 : this.model) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0]) == null ? void 0 : _c.shape) == null ? void 0 : _d[2]) || 0; + this.inputSizeTensor = tfjs_esm_exports.tensor1d([this.inputSize, this.inputSize]); + this.doubleInputSizeTensor = tfjs_esm_exports.tensor1d([this.inputSize * 2, this.inputSize * 2]); + } + normalizeBoxes(boxes) { + const t2 = {}; + t2.boxOffsets = tfjs_esm_exports.slice(boxes, [0, 0], [-1, 2]); + t2.boxSizes = tfjs_esm_exports.slice(boxes, [0, 2], [-1, 2]); + t2.div = tfjs_esm_exports.div(t2.boxOffsets, this.inputSizeTensor); + t2.boxCenterPoints = tfjs_esm_exports.add(t2.div, this.anchorsTensor); + t2.halfBoxSizes = tfjs_esm_exports.div(t2.boxSizes, this.doubleInputSizeTensor); + t2.sub = tfjs_esm_exports.sub(t2.boxCenterPoints, t2.halfBoxSizes); + t2.startPoints = tfjs_esm_exports.mul(t2.sub, this.inputSizeTensor); + t2.add = tfjs_esm_exports.add(t2.boxCenterPoints, t2.halfBoxSizes); + t2.endPoints = tfjs_esm_exports.mul(t2.add, this.inputSizeTensor); + const res = tfjs_esm_exports.concat2d([t2.startPoints, t2.endPoints], 1); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return res; + } + normalizeLandmarks(rawPalmLandmarks, index2) { + const t2 = {}; + t2.reshape = tfjs_esm_exports.reshape(rawPalmLandmarks, [-1, 7, 2]); + t2.div = tfjs_esm_exports.div(t2.reshape, this.inputSizeTensor); + t2.landmarks = tfjs_esm_exports.add(t2.div, this.anchors[index2] ? this.anchors[index2] : 0); + const res = tfjs_esm_exports.mul(t2.landmarks, this.inputSizeTensor); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return res; + } + async predict(input, config3) { + var _a; + const t2 = {}; + t2.resize = tfjs_esm_exports.image.resizeBilinear(input, [this.inputSize, this.inputSize]); + t2.div = tfjs_esm_exports.div(t2.resize, constants.tf127); + t2.image = tfjs_esm_exports.sub(t2.div, constants.tf1); + t2.batched = this.model.execute(t2.image); + t2.predictions = tfjs_esm_exports.squeeze(t2.batched); + t2.slice = tfjs_esm_exports.slice(t2.predictions, [0, 0], [-1, 1]); + t2.sigmoid = tfjs_esm_exports.sigmoid(t2.slice); + t2.scores = tfjs_esm_exports.squeeze(t2.sigmoid); + const scores = await t2.scores.data(); + t2.boxes = tfjs_esm_exports.slice(t2.predictions, [0, 1], [-1, 4]); + t2.norm = this.normalizeBoxes(t2.boxes); + t2.nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(t2.norm, t2.scores, 3 * (((_a = config3.hand) == null ? void 0 : _a.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); + const nms = await t2.nms.array(); + const hands = []; + for (const index2 of nms) { + const p = {}; + p.box = tfjs_esm_exports.slice(t2.norm, [index2, 0], [1, -1]); + p.slice = tfjs_esm_exports.slice(t2.predictions, [index2, 5], [1, 14]); + p.norm = this.normalizeLandmarks(p.slice, index2); + p.palmLandmarks = tfjs_esm_exports.reshape(p.norm, [-1, 2]); + const box = await p.box.data(); + const startPoint = box.slice(0, 2); + const endPoint = box.slice(2, 4); + const palmLandmarks = await p.palmLandmarks.array(); + const hand3 = { startPoint, endPoint, palmLandmarks, confidence: scores[index2] }; + const scaled = scaleBoxCoordinates2(hand3, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]); + hands.push(scaled); + Object.keys(p).forEach((tensor6) => tfjs_esm_exports.dispose(p[tensor6])); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return hands; + } +}; + +// src/hand/handposepipeline.ts +var palmBoxEnlargeFactor = 5; +var handBoxEnlargeFactor = 1.65; +var palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2]; +var palmLandmarksPalmBase = 0; +var palmLandmarksMiddleFingerBase = 2; +var lastTime13 = 0; +var HandPipeline = class { + constructor(handDetector, handPoseModel2) { + __publicField(this, "handDetector"); + __publicField(this, "handPoseModel"); + __publicField(this, "inputSize"); + __publicField(this, "storedBoxes"); + __publicField(this, "skipped"); + __publicField(this, "detectedHands"); + var _a, _b, _c; + this.handDetector = handDetector; + this.handPoseModel = handPoseModel2; + this.inputSize = ((_c = (_b = (_a = this.handPoseModel) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[2]) || 0; + this.storedBoxes = []; + this.skipped = Number.MAX_SAFE_INTEGER; + this.detectedHands = 0; + } + calculateLandmarksBoundingBox(landmarks) { + const xs = landmarks.map((d) => d[0]); + const ys = landmarks.map((d) => d[1]); + const startPoint = [Math.min(...xs), Math.min(...ys)]; + const endPoint = [Math.max(...xs), Math.max(...ys)]; + return { startPoint, endPoint }; + } + getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) { + const rotatedPalmLandmarks = palmLandmarks.map((coord) => rotatePoint2([...coord, 1], rotationMatrix)); + const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks); + return enlargeBox2(squarifyBox2(boxAroundPalm), palmBoxEnlargeFactor); + } + getBoxForHandLandmarks(landmarks) { + const boundingBox = this.calculateLandmarksBoundingBox(landmarks); + const boxAroundHand = enlargeBox2(squarifyBox2(boundingBox), handBoxEnlargeFactor); + boxAroundHand.palmLandmarks = []; + for (let i = 0; i < palmLandmarkIds.length; i++) { + boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2)); + } + return boxAroundHand; + } + transformRawCoords(rawCoords, box2, angle, rotationMatrix) { + const boxSize = getBoxSize2(box2); + const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2]; + const coordsScaled = rawCoords.map((coord) => [ + scaleFactor[0] * (coord[0] - this.inputSize / 2), + scaleFactor[1] * (coord[1] - this.inputSize / 2), + scaleFactor[2] * coord[2] + ]); + const coordsRotationMatrix = buildRotationMatrix2(angle, [0, 0]); + const coordsRotated = coordsScaled.map((coord) => { + const rotated = rotatePoint2(coord, coordsRotationMatrix); + return [...rotated, coord[2]]; + }); + const inverseRotationMatrix = invertTransformMatrix2(rotationMatrix); + const boxCenter = [...getBoxCenter2(box2), 1]; + const originalBoxCenter = [ + dot2(boxCenter, inverseRotationMatrix[0]), + dot2(boxCenter, inverseRotationMatrix[1]) + ]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + originalBoxCenter[0]), + Math.trunc(coord[1] + originalBoxCenter[1]), + Math.trunc(coord[2]) + ]); + } + async estimateHands(image28, config3) { + let useFreshBox = false; + let boxes; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime13; + const skipFrame = this.skipped < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + boxes = await this.handDetector.predict(image28, config3); + this.skipped = 0; + } + if (config3.skipAllowed) + this.skipped++; + if (boxes && boxes.length > 0 && (boxes.length !== this.detectedHands && this.detectedHands !== config3.hand.maxDetected || !config3.hand.landmarks)) { + this.detectedHands = 0; + this.storedBoxes = [...boxes]; + if (this.storedBoxes.length > 0) + useFreshBox = true; + } + const hands = []; + for (let i = 0; i < this.storedBoxes.length; i++) { + const currentBox = this.storedBoxes[i]; + if (!currentBox) + continue; + if (config3.hand.landmarks) { + const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0; + const palmCenter = getBoxCenter2(currentBox); + const palmCenterNormalized = [palmCenter[0] / image28.shape[2], palmCenter[1] / image28.shape[1]]; + const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? tfjs_esm_exports.image.rotateWithOffset(image28, angle, 0, palmCenterNormalized) : image28.clone(); + const rotationMatrix = buildRotationMatrix2(-angle, palmCenter); + const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox; + const croppedInput = cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]); + const handImage = tfjs_esm_exports.div(croppedInput, constants.tf255); + tfjs_esm_exports.dispose(croppedInput); + tfjs_esm_exports.dispose(rotatedImage); + const [confidenceT, keypoints] = this.handPoseModel.execute(handImage); + lastTime13 = now(); + tfjs_esm_exports.dispose(handImage); + const confidence = (await confidenceT.data())[0]; + tfjs_esm_exports.dispose(confidenceT); + if (confidence >= config3.hand.minConfidence / 4) { + const keypointsReshaped = tfjs_esm_exports.reshape(keypoints, [-1, 3]); + const rawCoords = await keypointsReshaped.array(); + tfjs_esm_exports.dispose(keypoints); + tfjs_esm_exports.dispose(keypointsReshaped); + const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); + const nextBoundingBox = this.getBoxForHandLandmarks(coords); + this.storedBoxes[i] = { ...nextBoundingBox, confidence }; + const result = { + landmarks: coords, + confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: confidence, + box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint } + }; + hands.push(result); + } else { + this.storedBoxes[i] = null; + } + tfjs_esm_exports.dispose(keypoints); + } else { + const enlarged = enlargeBox2(squarifyBox2(currentBox), handBoxEnlargeFactor); + const result = { + confidence: currentBox.confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: 0, + box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint }, + landmarks: [] + }; + hands.push(result); + } + } + this.storedBoxes = this.storedBoxes.filter((a) => a !== null); + this.detectedHands = hands.length; + if (hands.length > config3.hand.maxDetected) + hands.length = config3.hand.maxDetected; + return hands; + } +}; + +// src/hand/handpose.ts +var meshAnnotations2 = { + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + palm: [0] +}; +var handDetectorModel; +var handPoseModel; +var handPipeline; +async function predict14(input, config3) { + const predictions = await handPipeline.estimateHands(input, config3); + if (!predictions) + return []; + const hands = []; + for (let i = 0; i < predictions.length; i++) { + const annotations2 = {}; + if (predictions[i].landmarks) { + for (const key of Object.keys(meshAnnotations2)) { + annotations2[key] = meshAnnotations2[key].map((index2) => predictions[i].landmarks[index2]); + } + } + const keypoints = predictions[i].landmarks; + let box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; + let boxRaw = [0, 0, 0, 0]; + if (keypoints && keypoints.length > 0) { + for (const pt of keypoints) { + if (pt[0] < box[0]) + box[0] = pt[0]; + if (pt[1] < box[1]) + box[1] = pt[1]; + if (pt[0] > box[2]) + box[2] = pt[0]; + if (pt[1] > box[3]) + box[3] = pt[1]; + } + box[2] -= box[0]; + box[3] -= box[1]; + boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)]; + } else { + box = predictions[i].box ? [ + Math.trunc(Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.max(0, predictions[i].box.topLeft[1])), + Math.trunc(Math.min(input.shape[2] || 0, predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.min(input.shape[1] || 0, predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])) + ] : [0, 0, 0, 0]; + boxRaw = [ + predictions[i].box.topLeft[0] / (input.shape[2] || 0), + predictions[i].box.topLeft[1] / (input.shape[1] || 0), + (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0), + (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0) + ]; + } + const landmarks = analyze(keypoints); + hands.push({ + id: i, + score: Math.round(100 * predictions[i].confidence) / 100, + boxScore: Math.round(100 * predictions[i].boxConfidence) / 100, + fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100, + label: "hand", + box, + boxRaw, + keypoints, + annotations: annotations2, + landmarks + }); + } + return hands; +} +async function load15(config3) { + var _a, _b; + if (env.initial) { + handDetectorModel = null; + handPoseModel = null; + } + if (!handDetectorModel || !handPoseModel) { + [handDetectorModel, handPoseModel] = await Promise.all([ + config3.hand.enabled ? loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) : null, + config3.hand.landmarks ? loadModel((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) : null + ]); + } else { + if (config3.debug) + log("cached model:", handDetectorModel["modelUrl"]); + if (config3.debug) + log("cached model:", handPoseModel["modelUrl"]); + } + const handDetector = handDetectorModel ? new HandDetector(handDetectorModel) : void 0; + if (handDetector && handPoseModel) + handPipeline = new HandPipeline(handDetector, handPoseModel); + return [handDetectorModel, handPoseModel]; +} + +// src/hand/handtrack.ts +var models2 = [null, null]; +var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"]; +var inputSize7 = [[0, 0], [0, 0]]; +var classes = ["hand", "fist", "pinch", "point", "face", "tip", "pinchtip"]; +var faceIndex = 4; +var boxExpandFact = 1.6; +var maxDetectorResolution = 512; +var detectorExpandFact = 1.4; +var skipped13 = Number.MAX_SAFE_INTEGER; +var lastTime14 = 0; +var outputSize = [0, 0]; +var cache4 = { + boxes: [], + hands: [] +}; +var fingerMap = { + /* + thumb: [0, 1, 2, 3, 4], + index: [0, 5, 6, 7, 8], + middle: [0, 9, 10, 11, 12], + ring: [0, 13, 14, 15, 16], + pinky: [0, 17, 18, 19, 20], + palm: [0], + */ + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + base: [0], + palm: [0, 17, 13, 9, 5, 1, 0] +}; +async function loadDetect2(config3) { + var _a; + if (env.initial) + models2[0] = null; + if (!models2[0]) { + fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3); + models2[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath); + const inputs = models2[0]["executor"] ? Object.values(models2[0].modelSignature["inputs"]) : void 0; + inputSize7[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[0]["modelUrl"]); + return models2[0]; +} +async function loadSkeleton(config3) { + var _a; + if (env.initial) + models2[1] = null; + if (!models2[1]) { + models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath); + const inputs = models2[1]["executor"] ? Object.values(models2[1].modelSignature["inputs"]) : void 0; + inputSize7[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[1]["modelUrl"]); + return models2[1]; +} +async function detectHands(input, config3) { + const hands = []; + if (!input || !models2[0]) + return hands; + const t2 = {}; + const ratio2 = (input.shape[2] || 1) / (input.shape[1] || 1); + const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); + const width = Math.round(height * ratio2 / 8) * 8; + t2.resize = tfjs_esm_exports.image.resizeBilinear(input, [height, width]); + t2.cast = tfjs_esm_exports.cast(t2.resize, "int32"); + [t2.rawScores, t2.rawBoxes] = await models2[0].executeAsync(t2.cast, modelOutputNodes); + t2.boxes = tfjs_esm_exports.squeeze(t2.rawBoxes, [0, 2]); + t2.scores = tfjs_esm_exports.squeeze(t2.rawScores, [0]); + const classScores = tfjs_esm_exports.unstack(t2.scores, 1); + tfjs_esm_exports.dispose(classScores[faceIndex]); + classScores.splice(faceIndex, 1); + t2.filtered = tfjs_esm_exports.stack(classScores, 1); + tfjs_esm_exports.dispose(classScores); + t2.max = tfjs_esm_exports.max(t2.filtered, 1); + t2.argmax = tfjs_esm_exports.argMax(t2.filtered, 1); + let id = 0; + t2.nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); + const nms = await t2.nms.data(); + const scores = await t2.max.data(); + const classNum = await t2.argmax.data(); + for (const nmsIndex of Array.from(nms)) { + const boxSlice = tfjs_esm_exports.slice(t2.boxes, nmsIndex, 1); + const boxYX = await boxSlice.data(); + tfjs_esm_exports.dispose(boxSlice); + const boxData = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; + const boxRaw = scale(boxData, detectorExpandFact); + const boxFull = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])]; + const score = scores[nmsIndex]; + const label = classes[classNum[nmsIndex]]; + const hand3 = { id: id++, score, box: boxFull, boxRaw, label }; + hands.push(hand3); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + hands.sort((a, b) => b.score - a.score); + if (hands.length > (config3.hand.maxDetected || 1)) + hands.length = config3.hand.maxDetected || 1; + return hands; +} +async function detectFingers(input, h, config3) { + const hand3 = { + // initial values inherited from hand detect + id: h.id, + score: Math.round(100 * h.score) / 100, + boxScore: Math.round(100 * h.score) / 100, + fingerScore: 0, + box: h.box, + boxRaw: h.boxRaw, + label: h.label, + keypoints: [], + landmarks: {}, + annotations: {} + }; + if (input && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) { + const t2 = {}; + const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]]; + t2.crop = tfjs_esm_exports.image.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); + t2.div = tfjs_esm_exports.div(t2.crop, constants.tf255); + [t2.score, t2.keypoints] = models2[1].execute(t2.div, ["Identity_1", "Identity"]); + const rawScore = (await t2.score.data())[0]; + const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; + if (score >= (config3.hand.minConfidence || 0)) { + hand3.fingerScore = score; + t2.reshaped = tfjs_esm_exports.reshape(t2.keypoints, [-1, 3]); + const coordsData = await t2.reshaped.array(); + const coordsRaw = coordsData.map((kpt4) => [kpt4[0] / inputSize7[1][1], kpt4[1] / inputSize7[1][0], kpt4[2] || 0]); + const coordsNorm = coordsRaw.map((kpt4) => [kpt4[0] * h.boxRaw[2], kpt4[1] * h.boxRaw[3], kpt4[2] || 0]); + hand3.keypoints = coordsNorm.map((kpt4) => [outputSize[0] * (kpt4[0] + h.boxRaw[0]), outputSize[1] * (kpt4[1] + h.boxRaw[1]), kpt4[2] || 0]); + hand3.landmarks = analyze(hand3.keypoints); + for (const key of Object.keys(fingerMap)) { + hand3.annotations[key] = fingerMap[key].map((index2) => hand3.landmarks && hand3.keypoints[index2] ? hand3.keypoints[index2] : null); + } + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + } + return hand3; +} +async function predict15(input, config3) { + var _a, _b; + if (!((_a = models2[0]) == null ? void 0 : _a["executor"]) || !((_b = models2[1]) == null ? void 0 : _b["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) + return []; + outputSize = [input.shape[2] || 0, input.shape[1] || 0]; + skipped13++; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrame = skipped13 < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache4.hands; + } + return new Promise(async (resolve) => { + const skipTimeExtended = 3 * (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrameExtended = skipped13 < 3 * (config3.hand.skipFrames || 0); + if (config3.skipAllowed && cache4.hands.length === config3.hand.maxDetected) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else if (config3.skipAllowed && skipTimeExtended && skipFrameExtended && cache4.hands.length > 0) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else { + cache4.boxes = await detectHands(input, config3); + lastTime14 = now(); + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + skipped13 = 0; + } + const oldCache = [...cache4.boxes]; + cache4.boxes.length = 0; + if (config3.cacheSensitivity > 0) { + for (let i = 0; i < cache4.hands.length; i++) { + const boxKpt = square(cache4.hands[i].keypoints, outputSize); + if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache4.hands[i].fingerScore && cache4.hands[i].fingerScore > (config3.hand.minConfidence || 0)) { + const boxScale = scale(boxKpt.box, boxExpandFact); + const boxScaleRaw = scale(boxKpt.boxRaw, boxExpandFact); + cache4.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw }); + } + } + } + for (let i = 0; i < cache4.hands.length; i++) { + const bbox = calc(cache4.hands[i].keypoints, outputSize); + cache4.hands[i].box = bbox.box; + cache4.hands[i].boxRaw = bbox.boxRaw; + } + resolve(cache4.hands); + }); +} + +// src/result.ts +var empty = (error = null) => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error }); + +// src/body/movenetcoords.ts +var movenetcoords_exports = {}; +__export(movenetcoords_exports, { + connected: () => connected3, + horizontal: () => horizontal, + kpt: () => kpt3, + relative: () => relative, + vertical: () => vertical +}); +var kpt3 = [ + // used to create part labels + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var horizontal = [ + // used to fix left vs right + ["leftEye", "rightEye"], + ["leftEar", "rightEar"], + ["leftShoulder", "rightShoulder"], + ["leftElbow", "rightElbow"], + ["leftWrist", "rightWrist"], + ["leftHip", "rightHip"], + ["leftKnee", "rightKnee"], + ["leftAnkle", "rightAnkle"] +]; +var vertical = [ + // used to remove unlikely keypoint positions + ["leftKnee", "leftShoulder"], + ["rightKnee", "rightShoulder"], + ["leftAnkle", "leftKnee"], + ["rightAnkle", "rightKnee"] +]; +var relative = [ + // used to match relative body parts + [["leftHip", "rightHip"], ["leftShoulder", "rightShoulder"]], + [["leftElbow", "rightElbow"], ["leftShoulder", "rightShoulder"]] +]; +var connected3 = { + // used to create body outline in annotations + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/util/interpolate.ts +var bufferedResult = empty(); +var interpolateTime = 0; +function calc2(newResult, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z; + const t0 = now(); + if (!newResult) + return empty(); + const elapsed = Date.now() - newResult.timestamp; + const bufferedFactor = elapsed < 1e3 ? 8 - Math.log(elapsed + 1) : 1; + if (newResult.canvas) + bufferedResult.canvas = newResult.canvas; + if (newResult.error) + bufferedResult.error = newResult.error; + if (!bufferedResult.body || newResult.body.length !== bufferedResult.body.length) { + bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)); + } else { + for (let i = 0; i < newResult.body.length; i++) { + const box = newResult.body[i].box.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor); + const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor); + const keypoints = newResult.body[i].keypoints.map((newKpt, j) => { + var _a2, _b2, _c2, _d2, _e2, _f2, _g2, _h2, _i2; + return { + score: newKpt.score, + part: newKpt.part, + position: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] + ], + positionRaw: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] + ], + distance: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_a2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _a2[0]) || 0) + (((_b2 = newKpt.distance) == null ? void 0 : _b2[0]) || 0)) / bufferedFactor : (_c2 = newKpt.distance) == null ? void 0 : _c2[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_d2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _d2[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f2 = newKpt.distance) == null ? void 0 : _f2[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_g2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _g2[2]) || 0) + (((_h2 = newKpt.distance) == null ? void 0 : _h2[2]) || 0)) / bufferedFactor : (_i2 = newKpt.distance) == null ? void 0 : _i2[2] + ] + }; + }); + const annotations2 = {}; + let coords = { connected: {} }; + if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("efficientpose")) + coords = efficientposecoords_exports; + else if ((_b = config3.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + coords = blazeposecoords_exports; + else if ((_c = config3.body.modelPath) == null ? void 0 : _c.includes("movenet")) + coords = movenetcoords_exports; + for (const [name, indexes] of Object.entries(coords.connected)) { + const pt = []; + for (let j = 0; j < indexes.length - 1; j++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[j]); + const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.hand || newResult.hand.length !== bufferedResult.hand.length) { + bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); + } else { + for (let i = 0; i < newResult.hand.length; i++) { + const box = newResult.hand[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.hand[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor); + if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) + bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; + const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; + let annotations2 = {}; + if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) { + bufferedResult.hand[i].annotations = newResult.hand[i].annotations; + annotations2 = bufferedResult.hand[i].annotations; + } else if (newResult.hand[i].annotations) { + for (const key of Object.keys(newResult.hand[i].annotations)) { + annotations2[key] = ((_f = (_e = (_d = newResult.hand[i]) == null ? void 0 : _d.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f[0]) ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { + bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)); + } else { + for (let i = 0; i < newResult.face.length; i++) { + const box = newResult.face[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.face[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor); + let annotations2 = newResult.face[i].annotations; + if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) { + bufferedResult.face[i].annotations = newResult.face[i].annotations; + annotations2 = bufferedResult.face[i].annotations; + } else if (newResult.face[i].annotations) { + for (const key of Object.keys(newResult.face[i].annotations)) { + annotations2[key] = ((_i = (_h = (_g = newResult.face[i]) == null ? void 0 : _g.annotations) == null ? void 0 : _h[key]) == null ? void 0 : _i[0]) ? newResult.face[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + if (newResult.face[i].rotation) { + const rotation = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } }; + rotation.matrix = (_j = newResult.face[i].rotation) == null ? void 0 : _j.matrix; + rotation.angle = { + roll: ((bufferedFactor - 1) * (((_l = (_k = bufferedResult.face[i].rotation) == null ? void 0 : _k.angle) == null ? void 0 : _l.roll) || 0) + (((_n = (_m = newResult.face[i].rotation) == null ? void 0 : _m.angle) == null ? void 0 : _n.roll) || 0)) / bufferedFactor, + yaw: ((bufferedFactor - 1) * (((_p = (_o = bufferedResult.face[i].rotation) == null ? void 0 : _o.angle) == null ? void 0 : _p.yaw) || 0) + (((_r = (_q = newResult.face[i].rotation) == null ? void 0 : _q.angle) == null ? void 0 : _r.yaw) || 0)) / bufferedFactor, + pitch: ((bufferedFactor - 1) * (((_t = (_s = bufferedResult.face[i].rotation) == null ? void 0 : _s.angle) == null ? void 0 : _t.pitch) || 0) + (((_v = (_u = newResult.face[i].rotation) == null ? void 0 : _u.angle) == null ? void 0 : _v.pitch) || 0)) / bufferedFactor + }; + rotation.gaze = { + // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive + bearing: ((bufferedFactor - 1) * (((_w = bufferedResult.face[i].rotation) == null ? void 0 : _w.gaze.bearing) || 0) + (((_x = newResult.face[i].rotation) == null ? void 0 : _x.gaze.bearing) || 0)) / bufferedFactor, + strength: ((bufferedFactor - 1) * (((_y = bufferedResult.face[i].rotation) == null ? void 0 : _y.gaze.strength) || 0) + (((_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze.strength) || 0)) / bufferedFactor + }; + bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations: annotations2 }; + } else { + bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations: annotations2 }; + } + } + } + if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) { + bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)); + } else { + for (let i = 0; i < newResult.object.length; i++) { + const box = newResult.object[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.object[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor); + bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; + } + } + if (newResult.persons) { + const newPersons = newResult.persons; + if (!bufferedResult.persons || newPersons.length !== bufferedResult.persons.length) { + bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)); + } else { + for (let i = 0; i < newPersons.length; i++) { + bufferedResult.persons[i].box = newPersons[i].box.map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor); + } + } + } + if (newResult.gesture) + bufferedResult.gesture = newResult.gesture; + bufferedResult.width = newResult.width; + bufferedResult.height = newResult.height; + const t1 = now(); + interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0); + if (newResult.performance) + bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime }; + return bufferedResult; +} + +// src/segmentation/meet.ts +var model17; +async function load16(config3) { + if (!model17 || env.initial) + model17 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model17["modelUrl"]); + return model17; +} +async function predict16(input, config3) { + var _a; + if (!model17) + model17 = await load16(config3); + if (!(model17 == null ? void 0 : model17["executor"]) || !((_a = model17 == null ? void 0 : model17.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tfjs_esm_exports.image.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); + t2.norm = tfjs_esm_exports.div(t2.resize, constants.tf255); + t2.res = model17.execute(t2.norm); + t2.squeeze = tfjs_esm_exports.squeeze(t2.res, [0]); + [t2.bgRaw, t2.fgRaw] = tfjs_esm_exports.unstack(t2.squeeze, 2); + t2.fg = tfjs_esm_exports.softmax(t2.fgRaw); + t2.mul = tfjs_esm_exports.mul(t2.fg, constants.tf255); + t2.expand = tfjs_esm_exports.expandDims(t2.mul, 2); + t2.output = tfjs_esm_exports.image.resizeBilinear(t2.expand, [input.shape[1] || 0, input.shape[2] || 0]); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tfjs_esm_exports.squeeze(input); + t2.concat = tfjs_esm_exports.concat([t2.input, t2.output], -1); + rgba = tfjs_esm_exports.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tfjs_esm_exports.cast(t2.output, "int32"); + break; + default: + rgba = tfjs_esm_exports.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return rgba; +} + +// src/face/match.ts +var match_exports = {}; +__export(match_exports, { + distance: () => distance, + find: () => find, + similarity: () => similarity +}); +function distance(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25 }) { + if (!descriptor1 || !descriptor1) + return Number.MAX_SAFE_INTEGER; + let sum3 = 0; + for (let i = 0; i < descriptor1.length; i++) { + const diff = !options4.order || options4.order === 2 ? descriptor1[i] - descriptor2[i] : Math.abs(descriptor1[i] - descriptor2[i]); + sum3 += !options4.order || options4.order === 2 ? diff * diff : diff ** options4.order; + } + return (options4.multiplier || 20) * sum3; +} +var normalizeDistance = (dist, order, min2, max5) => { + if (dist === 0) + return 1; + const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); + const norm = (1 - root / 100 - min2) / (max5 - min2); + const clamp2 = Math.max(Math.min(norm, 1), 0); + return clamp2; +}; +function similarity(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) { + const dist = distance(descriptor1, descriptor2, options4); + return normalizeDistance(dist, options4.order || 2, options4.min || 0, options4.max || 1); +} +function find(descriptor, descriptors, options4 = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) { + if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { + return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 }; + } + let lowestDistance = Number.MAX_SAFE_INTEGER; + let index2 = -1; + for (let i = 0; i < descriptors.length; i++) { + const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options4) : Number.MAX_SAFE_INTEGER; + if (res < lowestDistance) { + lowestDistance = res; + index2 = i; + } + if (lowestDistance < (options4.threshold || 0)) + break; + } + const normalizedSimilarity = normalizeDistance(lowestDistance, options4.order || 2, options4.min || 0, options4.max || 1); + return { index: index2, distance: lowestDistance, similarity: normalizedSimilarity }; +} + +// src/models.ts +var models_exports2 = {}; +__export(models_exports2, { + Models: () => Models, + validateModel: () => validateModel +}); + +// src/body/movenetfix.ts +var maxJitter = 5e-3; +var cache5 = { + keypoints: [], + padding: [[0, 0], [0, 0], [0, 0], [0, 0]] +}; +function bodyParts(body4) { + for (const pair of horizontal) { + const left = body4.keypoints.findIndex((kp) => kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp.part === pair[1]); + if (body4.keypoints[left] && body4.keypoints[right]) { + if (body4.keypoints[left].position[0] < body4.keypoints[right].position[0]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } + } + for (const pair of vertical) { + const lower = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const higher = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + if (body4.keypoints[lower] && body4.keypoints[higher]) { + if (body4.keypoints[lower].position[1] < body4.keypoints[higher].position[1]) { + body4.keypoints.splice(lower, 1); + } + } + } + for (const [pair, compare2] of relative) { + const left = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + const leftTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[0]); + const rightTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[1]); + if (!body4.keypoints[leftTo] || !body4.keypoints[rightTo]) + continue; + const distanceLeft = body4.keypoints[left] ? [ + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[left].position[0]), + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[left].position[0]) + ] : [0, 0]; + const distanceRight = body4.keypoints[right] ? [ + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[right].position[0]), + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[right].position[0]) + ] : [0, 0]; + if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } +} +function jitter(keypoints) { + for (let i = 0; i < keypoints.length; i++) { + if (keypoints[i] && cache5.keypoints[i]) { + const diff = [Math.abs(keypoints[i].positionRaw[0] - cache5.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache5.keypoints[i].positionRaw[1])]; + if (diff[0] < maxJitter && diff[1] < maxJitter) { + keypoints[i] = cache5.keypoints[i]; + } else { + cache5.keypoints[i] = keypoints[i]; + } + } else { + cache5.keypoints[i] = keypoints[i]; + } + } + return keypoints; +} +function padInput(input, inputSize10) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + cache5.padding = [ + [0, 0], + // dont touch batch + [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], + // height before&after + [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tfjs_esm_exports.pad(input, cache5.padding); + t2.resize = tfjs_esm_exports.image.resizeBilinear(t2.pad, [inputSize10, inputSize10]); + const final = tfjs_esm_exports.cast(t2.resize, "int32"); + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return final; +} +function rescaleBody(body4, outputSize2) { + body4.keypoints = body4.keypoints.filter((kpt4) => kpt4 == null ? void 0 : kpt4.position); + for (const kpt4 of body4.keypoints) { + kpt4.position = [ + kpt4.position[0] * (outputSize2[0] + cache5.padding[2][0] + cache5.padding[2][1]) / outputSize2[0] - cache5.padding[2][0], + kpt4.position[1] * (outputSize2[1] + cache5.padding[1][0] + cache5.padding[1][1]) / outputSize2[1] - cache5.padding[1][0] + ]; + kpt4.positionRaw = [ + kpt4.position[0] / outputSize2[0], + kpt4.position[1] / outputSize2[1] + ]; + } + const rescaledBoxes = calc(body4.keypoints.map((pt) => pt.position), outputSize2); + body4.box = rescaledBoxes.box; + body4.boxRaw = rescaledBoxes.boxRaw; + return body4; +} + +// src/body/movenet.ts +var model18; +var inputSize8 = 0; +var skipped14 = Number.MAX_SAFE_INTEGER; +var cache6 = { + boxes: [], + bodies: [], + last: 0 +}; +async function load17(config3) { + var _a; + if (env.initial) + model18 = null; + if (!model18) { + fakeOps(["size"], config3); + model18 = await loadModel(config3.body.modelPath); + } else if (config3.debug) + log("cached model:", model18["modelUrl"]); + inputSize8 = (model18 == null ? void 0 : model18["executor"]) && ((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape) ? model18.inputs[0].shape[2] : 0; + if (inputSize8 < 64) + inputSize8 = 256; + if (tfjs_esm_exports.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tfjs_esm_exports.env().set("WEBGL_USE_SHAPES_UNIFORMS", false); + return model18; +} +function parseSinglePose(res, config3, image28) { + const kpt4 = res[0][0]; + const keypoints = []; + let score = 0; + for (let id = 0; id < kpt4.length; id++) { + score = kpt4[id][2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[id][1], kpt4[id][0]]; + keypoints.push({ + score: Math.round(100 * score) / 100, + part: kpt3[id], + positionRaw, + position: [ + // normalized to input image size + Math.round((image28.shape[2] || 0) * positionRaw[0]), + Math.round((image28.shape[1] || 0) * positionRaw[1]) + ] + }); + } + } + score = keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const bodies = []; + const newBox = calc(keypoints.map((pt) => pt.position), [image28.shape[2], image28.shape[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + return bodies; +} +function parseMultiPose(res, config3, image28) { + const bodies = []; + for (let id = 0; id < res[0].length; id++) { + const kpt4 = res[0][id]; + const boxScore = Math.round(100 * kpt4[51 + 4]) / 100; + if (boxScore > config3.body.minConfidence) { + const keypoints = []; + for (let i = 0; i < 17; i++) { + const score = kpt4[3 * i + 2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[3 * i + 1], kpt4[3 * i + 0]]; + keypoints.push({ + part: kpt3[i], + score: Math.round(100 * score) / 100, + positionRaw, + position: [Math.round((image28.shape[2] || 0) * positionRaw[0]), Math.round((image28.shape[1] || 0) * positionRaw[1])] + }); + } + } + const boxRaw = [kpt4[51 + 1], kpt4[51 + 0], kpt4[51 + 3] - kpt4[51 + 1], kpt4[51 + 2] - kpt4[51 + 0]]; + const boxNorm = [Math.trunc(boxRaw[0] * (image28.shape[2] || 0)), Math.trunc(boxRaw[1] * (image28.shape[1] || 0)), Math.trunc(boxRaw[2] * (image28.shape[2] || 0)), Math.trunc(boxRaw[3] * (image28.shape[1] || 0))]; + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + } + } + bodies.sort((a, b) => b.score - a.score); + if (bodies.length > config3.body.maxDetected) + bodies.length = config3.body.maxDetected; + return bodies; +} +async function predict17(input, config3) { + var _a; + if (!(model18 == null ? void 0 : model18["executor"]) || !((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape)) + return []; + if (!config3.skipAllowed) + cache6.boxes.length = 0; + skipped14++; + const skipTime = (config3.body.skipTime || 0) > now() - cache6.last; + const skipFrame = skipped14 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache6.bodies; + } + return new Promise(async (resolve) => { + const t2 = {}; + skipped14 = 0; + t2.input = padInput(input, inputSize8); + t2.res = model18 == null ? void 0 : model18.execute(t2.input); + cache6.last = now(); + const res = await t2.res.array(); + cache6.bodies = t2.res.shape[2] === 17 ? parseSinglePose(res, config3, input) : parseMultiPose(res, config3, input); + for (const body4 of cache6.bodies) { + rescaleBody(body4, [input.shape[2] || 1, input.shape[1] || 1]); + jitter(body4.keypoints); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + resolve(cache6.bodies); + }); +} + +// src/object/nanodet.ts +var model19; +var last10 = []; +var lastTime15 = 0; +var skipped15 = Number.MAX_SAFE_INTEGER; +var inputSize9 = 0; +var scaleBox = 2.5; +async function load18(config3) { + if (!model19 || env.initial) { + model19 = await loadModel(config3.object.modelPath); + const inputs = (model19 == null ? void 0 : model19["executor"]) ? Object.values(model19.modelSignature["inputs"]) : void 0; + inputSize9 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416; + } else if (config3.debug) + log("cached model:", model19["modelUrl"]); + return model19; +} +async function process4(res, outputShape, config3) { + var _a, _b; + let id = 0; + let results = []; + const size2 = inputSize9; + for (const strideSize of [1, 2, 4]) { + const baseSize = strideSize * 13; + const scoresT = tfjs_esm_exports.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); + const scores = await scoresT.array(); + const featuresT = tfjs_esm_exports.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); + const boxesMaxT = tfjs_esm_exports.reshape(featuresT, [-1, 4, (((_a = featuresT.shape) == null ? void 0 : _a[1]) || 0) / 4]); + const boxIdxT = tfjs_esm_exports.argMax(boxesMaxT, 2); + const boxIdx = await boxIdxT.array(); + for (let i = 0; i < scoresT.shape[0]; i++) { + for (let j = 0; j < (((_b = scoresT.shape) == null ? void 0 : _b[1]) || 0); j++) { + const score = scores[i][j]; + if (score > (config3.object.minConfidence || 0) && j !== 61) { + const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; + const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; + const boxOffset = boxIdx[i].map((a) => a * (baseSize / strideSize / size2)); + const [x, y] = [ + cx - scaleBox / strideSize * boxOffset[0], + cy - scaleBox / strideSize * boxOffset[1] + ]; + const [w, h] = [ + cx + scaleBox / strideSize * boxOffset[2] - x, + cy + scaleBox / strideSize * boxOffset[3] - y + ]; + let boxRaw = [x, y, w, h]; + boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))); + const box = [ + // results normalized to input image pixels + boxRaw[0] * outputShape[0], + boxRaw[1] * outputShape[1], + boxRaw[2] * outputShape[0], + boxRaw[3] * outputShape[1] + ]; + const result = { + id: id++, + // strideSize, + score: Math.round(100 * score) / 100, + class: j + 1, + label: labels2[j].label, + // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)], + // centerRaw: [cx, cy], + box: box.map((a) => Math.trunc(a)), + boxRaw + }; + results.push(result); + } + } + } + tfjs_esm_exports.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]); + } + const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); + const nmsScores = results.map((a) => a.score); + let nmsIdx = []; + if (nmsBoxes && nmsBoxes.length > 0) { + const nms = await tfjs_esm_exports.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); + nmsIdx = Array.from(await nms.data()); + tfjs_esm_exports.dispose(nms); + } + results = results.filter((_val, idx) => nmsIdx.includes(idx)).sort((a, b) => b.score - a.score); + return results; +} +async function predict18(image28, config3) { + if (!(model19 == null ? void 0 : model19["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime15; + const skipFrame = skipped15 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last10.length > 0) { + skipped15++; + return last10; + } + skipped15 = 0; + if (!env.kernels.includes("mod") || !env.kernels.includes("sparsetodense")) + return last10; + return new Promise(async (resolve) => { + const outputSize2 = [image28.shape[2] || 0, image28.shape[1] || 0]; + const resizeT = tfjs_esm_exports.image.resizeBilinear(image28, [inputSize9, inputSize9], false); + const normT = tfjs_esm_exports.div(resizeT, constants.tf255); + const transposeT = tfjs_esm_exports.transpose(normT, [0, 3, 1, 2]); + let objectT; + if (config3.object.enabled) + objectT = model19.execute(transposeT); + lastTime15 = now(); + const obj = await process4(objectT, outputSize2, config3); + last10 = obj; + tfjs_esm_exports.dispose([resizeT, normT, transposeT, ...objectT]); + resolve(obj); + }); +} + +// src/body/posenetutils.ts +var partNames = [ + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var count = partNames.length; +var partIds = partNames.reduce((result, jointName, i) => { + result[jointName] = i; + return result; +}, {}); +var connectedPartNames = [ + ["leftHip", "leftShoulder"], + ["leftElbow", "leftShoulder"], + ["leftElbow", "leftWrist"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["rightHip", "rightShoulder"], + ["rightElbow", "rightShoulder"], + ["rightElbow", "rightWrist"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"], + ["leftShoulder", "rightShoulder"], + ["leftHip", "rightHip"] +]; +var connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => [partIds[jointNameA], partIds[jointNameB]]); +var poseChain = [ + ["nose", "leftEye"], + ["leftEye", "leftEar"], + ["nose", "rightEye"], + ["rightEye", "rightEar"], + ["nose", "leftShoulder"], + ["leftShoulder", "leftElbow"], + ["leftElbow", "leftWrist"], + ["leftShoulder", "leftHip"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["nose", "rightShoulder"], + ["rightShoulder", "rightElbow"], + ["rightElbow", "rightWrist"], + ["rightShoulder", "rightHip"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"] +]; +function getBoundingBox(keypoints) { + const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({ + maxX: Math.max(maxX, x), + maxY: Math.max(maxY, y), + minX: Math.min(minX, x), + minY: Math.min(minY, y) + }), { + maxX: Number.NEGATIVE_INFINITY, + maxY: Number.NEGATIVE_INFINITY, + minX: Number.POSITIVE_INFINITY, + minY: Number.POSITIVE_INFINITY + }); + return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY]; +} +function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) { + const scaleY = height / inputResolutionHeight; + const scaleX = width / inputResolutionWidth; + const scalePose = (pose, i) => ({ + id: i, + score: pose.score, + boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight], + box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)], + keypoints: pose.keypoints.map(({ score, part, position }) => ({ + score, + part, + position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)], + positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] + })), + annotations: {} + }); + const scaledPoses = poses.map((pose, i) => scalePose(pose, i)); + return scaledPoses; +} +var MaxHeap = class { + // function call + constructor(maxSize2, getElementValue) { + __publicField(this, "priorityQueue"); + // don't touch + __publicField(this, "numberOfElements"); + __publicField(this, "getElementValue"); + this.priorityQueue = new Array(maxSize2); + this.numberOfElements = -1; + this.getElementValue = getElementValue; + } + enqueue(x) { + this.priorityQueue[++this.numberOfElements] = x; + this.swim(this.numberOfElements); + } + dequeue() { + const max5 = this.priorityQueue[0]; + this.exchange(0, this.numberOfElements--); + this.sink(0); + this.priorityQueue[this.numberOfElements + 1] = null; + return max5; + } + empty() { + return this.numberOfElements === -1; + } + size() { + return this.numberOfElements + 1; + } + all() { + return this.priorityQueue.slice(0, this.numberOfElements + 1); + } + max() { + return this.priorityQueue[0]; + } + swim(k) { + while (k > 0 && this.less(Math.floor(k / 2), k)) { + this.exchange(k, Math.floor(k / 2)); + k = Math.floor(k / 2); + } + } + sink(k) { + while (2 * k <= this.numberOfElements) { + let j = 2 * k; + if (j < this.numberOfElements && this.less(j, j + 1)) + j++; + if (!this.less(k, j)) + break; + this.exchange(k, j); + k = j; + } + } + getValueAt(i) { + return this.getElementValue(this.priorityQueue[i]); + } + less(i, j) { + return this.getValueAt(i) < this.getValueAt(j); + } + exchange(i, j) { + const t2 = this.priorityQueue[i]; + this.priorityQueue[i] = this.priorityQueue[j]; + this.priorityQueue[j] = t2; + } +}; +function getOffsetPoint(y, x, keypoint, offsets) { + return { + y: offsets.get(y, x, keypoint), + x: offsets.get(y, x, keypoint + count) + }; +} +function getImageCoords(part, outputStride2, offsets) { + const { heatmapY, heatmapX, id: keypoint } = part; + const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); + return { + x: part.heatmapX * outputStride2 + x, + y: part.heatmapY * outputStride2 + y + }; +} +function clamp(a, min2, max5) { + if (a < min2) + return min2; + if (a > max5) + return max5; + return a; +} +function squaredDistance(y1, x1, y2, x2) { + const dy = y2 - y1; + const dx = x2 - x1; + return dy * dy + dx * dx; +} +function addVectors(a, b) { + return { x: a.x + b.x, y: a.y + b.y }; +} + +// src/body/posenet.ts +var model20; +var poseNetOutputs = [ + "MobilenetV1/offset_2/BiasAdd", + "MobilenetV1/heatmap_2/BiasAdd", + "MobilenetV1/displacement_fwd_2/BiasAdd", + "MobilenetV1/displacement_bwd_2/BiasAdd" + /* displacementBwd */ +]; +var localMaximumRadius = 1; +var outputStride = 16; +var squaredNmsRadius = 50 ** 2; +function traverse(edgeId, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) { + const getDisplacement = (point2) => ({ + y: displacements.get(point2.y, point2.x, edgeId), + x: displacements.get(point2.y, point2.x, displacements.shape[2] / 2 + edgeId) + }); + const getStridedIndexNearPoint = (point2, height2, width2) => ({ + y: clamp(Math.round(point2.y / outputStride), 0, height2 - 1), + x: clamp(Math.round(point2.x / outputStride), 0, width2 - 1) + }); + const [height, width] = scores.shape; + const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width); + const displacement = getDisplacement(sourceKeypointIndices); + const displacedPoint = addVectors(sourceKeypoint.position, displacement); + let targetKeypoint = displacedPoint; + for (let i = 0; i < offsetRefineStep; i++) { + const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const offsetPoint = getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets); + targetKeypoint = addVectors( + { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride }, + { x: offsetPoint.x, y: offsetPoint.y } + ); + } + const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId); + return { position: targetKeypoint, part: partNames[targetId], score }; +} +function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) { + const tuples = poseChain.map(([parentJoinName, childJoinName]) => [partIds[parentJoinName], partIds[childJoinName]]); + const edgesFwd = tuples.map(([, childJointId]) => childJointId); + const edgesBwd = tuples.map(([parentJointId]) => parentJointId); + const numParts = scores.shape[2]; + const numEdges = edgesFwd.length; + const keypoints = new Array(numParts); + const rootPoint = getImageCoords(root.part, outputStride, offsets); + keypoints[root.part.id] = { + score: root.score, + part: partNames[root.part.id], + position: rootPoint + }; + for (let edge = numEdges - 1; edge >= 0; --edge) { + const sourceId = edgesFwd[edge]; + const targetId = edgesBwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd); + } + } + for (let edge = 0; edge < numEdges; ++edge) { + const sourceId = edgesBwd[edge]; + const targetId = edgesFwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd); + } + } + return keypoints; +} +function scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores) { + const [height, width] = scores.shape; + let localMaximum = true; + const yStart = Math.max(heatmapY - localMaximumRadius, 0); + const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height); + for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) { + const xStart = Math.max(heatmapX - localMaximumRadius, 0); + const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width); + for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) { + if (scores.get(yCurrent, xCurrent, keypointId) > score) { + localMaximum = false; + break; + } + } + if (!localMaximum) + break; + } + return localMaximum; +} +function buildPartWithScoreQueue(minConfidence2, scores) { + const [height, width, numKeypoints] = scores.shape; + const queue = new MaxHeap(height * width * numKeypoints, ({ score }) => score); + for (let heatmapY = 0; heatmapY < height; ++heatmapY) { + for (let heatmapX = 0; heatmapX < width; ++heatmapX) { + for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) { + const score = scores.get(heatmapY, heatmapX, keypointId); + if (score < minConfidence2) + continue; + if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) + queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } }); + } + } + } + return queue; +} +function withinRadius(poses, { x, y }, keypointId) { + return poses.some(({ keypoints }) => { + var _a; + const correspondingKeypoint = (_a = keypoints[keypointId]) == null ? void 0 : _a.position; + if (!correspondingKeypoint) + return false; + return squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; + }); +} +function getInstanceScore(existingPoses, keypoints) { + const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => { + if (!withinRadius(existingPoses, position, keypointId)) + result += score; + return result; + }, 0); + return notOverlappedKeypointScores / keypoints.length; +} +function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence2) { + const poses = []; + const queue = buildPartWithScoreQueue(minConfidence2, scores); + while (poses.length < maxDetected && !queue.empty()) { + const root = queue.dequeue(); + const rootImageCoords = getImageCoords(root.part, outputStride, offsets); + if (withinRadius(poses, rootImageCoords, root.part.id)) + continue; + let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd); + keypoints = keypoints.filter((a) => a.score > minConfidence2); + const score = getInstanceScore(poses, keypoints); + const box = getBoundingBox(keypoints); + if (score > minConfidence2) + poses.push({ keypoints, box, score: Math.round(100 * score) / 100 }); + } + return poses; +} +async function predict19(input, config3) { + if (!(model20 == null ? void 0 : model20["executor"])) + return []; + const res = tfjs_esm_exports.tidy(() => { + if (!model20.inputs[0].shape) + return []; + const resized = tfjs_esm_exports.image.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + const normalized = tfjs_esm_exports.sub(tfjs_esm_exports.div(tfjs_esm_exports.cast(resized, "float32"), 127.5), 1); + const results = model20.execute(normalized, poseNetOutputs); + const results3d = results.map((y) => tfjs_esm_exports.squeeze(y, [0])); + results3d[1] = tfjs_esm_exports.sigmoid(results3d[1]); + return results3d; + }); + const buffers = await Promise.all(res.map((tensor6) => tensor6.buffer())); + for (const t2 of res) + tfjs_esm_exports.dispose(t2); + const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config3.body.maxDetected, config3.body.minConfidence); + if (!model20.inputs[0].shape) + return []; + const scaled = scalePoses(decoded, [input.shape[1], input.shape[2]], [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + return scaled; +} +async function load19(config3) { + if (!model20 || env.initial) + model20 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model20["modelUrl"]); + return model20; +} + +// src/segmentation/rvm.ts +var model21; +var outputNodes2 = ["fgr", "pha", "r1o", "r2o", "r3o", "r4o"]; +var t = {}; +var ratio = 0; +function init3(config3) { + tfjs_esm_exports.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]); + t.r1i = tfjs_esm_exports.tensor(0); + t.r2i = tfjs_esm_exports.tensor(0); + t.r3i = tfjs_esm_exports.tensor(0); + t.r4i = tfjs_esm_exports.tensor(0); + ratio = config3.segmentation.ratio || 0.5; + t.downsample_ratio = tfjs_esm_exports.tensor(ratio); +} +async function load20(config3) { + if (!model21 || env.initial) + model21 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model21["modelUrl"]); + init3(config3); + return model21; +} +var normalize = (r) => tfjs_esm_exports.tidy(() => { + const squeeze14 = tfjs_esm_exports.squeeze(r, [0]); + const mul15 = tfjs_esm_exports.mul(squeeze14, constants.tf255); + const cast8 = tfjs_esm_exports.cast(mul15, "int32"); + return cast8; +}); +function getRGBA(fgr, pha) { + const rgb3 = fgr ? normalize(fgr) : tfjs_esm_exports.fill([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); + const a = pha ? normalize(pha) : tfjs_esm_exports.fill([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); + const rgba = tfjs_esm_exports.concat([rgb3, a], -1); + tfjs_esm_exports.dispose([rgb3, a]); + return rgba; +} +function getState(state) { + return tfjs_esm_exports.tidy(() => { + const r = {}; + r.unstack = tfjs_esm_exports.unstack(state, -1); + r.concat = tfjs_esm_exports.concat(r.unstack, 1); + r.split = tfjs_esm_exports.split(r.concat, 4, 1); + r.stack = tfjs_esm_exports.concat(r.split, 2); + r.squeeze = tfjs_esm_exports.squeeze(r.stack, [0]); + r.expand = tfjs_esm_exports.expandDims(r.squeeze, -1); + r.add = tfjs_esm_exports.add(r.expand, 1); + r.mul = tfjs_esm_exports.mul(r.add, 127.5); + r.cast = tfjs_esm_exports.cast(r.mul, "int32"); + r.tile = tfjs_esm_exports.tile(r.cast, [1, 1, 3]); + r.alpha = tfjs_esm_exports.fill([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); + return tfjs_esm_exports.concat([r.tile, r.alpha], -1); + }); +} +async function predict20(input, config3) { + if (!model21) + model21 = await load20(config3); + if (!(model21 == null ? void 0 : model21["executor"])) + return null; + t.src = tfjs_esm_exports.div(input, 255); + if (ratio !== config3.segmentation.ratio) + init3(config3); + const [fgr, pha, r1o, r2o, r3o, r4o] = await model21.executeAsync(t, outputNodes2); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + rgba = getRGBA(fgr, pha); + break; + case "alpha": + rgba = getRGBA(null, pha); + break; + case "foreground": + rgba = getRGBA(fgr, null); + break; + case "state": + rgba = getState(r1o); + break; + default: + rgba = tfjs_esm_exports.tensor(0); + } + tfjs_esm_exports.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]); + [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; + return rgba; +} + +// src/segmentation/selfie.ts +var model22; +async function load21(config3) { + if (!model22 || env.initial) + model22 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model22["modelUrl"]); + return model22; +} +async function predict21(input, config3) { + var _a; + if (!model22) + model22 = await load21(config3); + if (!(model22 == null ? void 0 : model22["executor"]) || !((_a = model22 == null ? void 0 : model22.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tfjs_esm_exports.image.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); + t2.norm = tfjs_esm_exports.div(t2.resize, constants.tf255); + t2.res = model22.execute(t2.norm); + t2.squeeze = tfjs_esm_exports.squeeze(t2.res, [0]); + t2.alpha = tfjs_esm_exports.image.resizeBilinear(t2.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); + t2.mul = tfjs_esm_exports.mul(t2.alpha, constants.tf255); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tfjs_esm_exports.squeeze(input); + t2.concat = tfjs_esm_exports.concat([t2.input, t2.mul], -1); + rgba = tfjs_esm_exports.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tfjs_esm_exports.cast(t2.mul, "int32"); + break; + default: + rgba = tfjs_esm_exports.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tfjs_esm_exports.dispose(t2[tensor6])); + return rgba; +} + +// src/models.ts +function validateModel(instance, model23, name) { + var _a, _b; + if (!model23) + return null; + if (!((_a = instance == null ? void 0 : instance.config) == null ? void 0 : _a.validateModels)) + return null; + const simpleOps = ["const", "placeholder", "noop", "pad", "squeeze", "add", "sub", "mul", "div"]; + const ignoreOps = ["biasadd", "fusedbatchnormv3", "matmul", "switch", "shape", "merge", "split", "broadcastto"]; + const ops = []; + const missing = []; + const url = model23["modelUrl"]; + const executor = model23["executor"]; + if ((_b = executor == null ? void 0 : executor.graph) == null ? void 0 : _b.nodes) { + for (const kernel of Object.values(executor.graph.nodes)) { + const op = kernel.op.toLowerCase(); + if (!ops.includes(op)) + ops.push(op); + } + } else { + if (!executor && instance.config.debug) { + log("model not loaded", name); + } + } + for (const op of ops) { + if (!simpleOps.includes(op) && !ignoreOps.includes(op) && !instance.env.kernels.includes(op) && !instance.env.kernels.includes(op.replace("_", "")) && !instance.env.kernels.includes(op.replace("native", "")) && !instance.env.kernels.includes(op.replace("v2", ""))) { + missing.push(op); + } + } + if (instance.config.debug && missing.length > 0) + log("model validation failed:", name, missing); + return missing.length > 0 ? { name, missing, ops, url } : null; +} +var Models = class { + constructor(currentInstance) { + __publicField(this, "instance"); + __publicField(this, "models", {}); + this.models = {}; + this.instance = currentInstance; + } + stats() { + let totalSizeFromManifest = 0; + let totalSizeWeights = 0; + let totalSizeLoading = 0; + for (const m of Object.values(modelStats)) { + totalSizeFromManifest += m.sizeFromManifest; + totalSizeWeights += m.sizeLoadedWeights; + totalSizeLoading += m.sizeDesired; + } + const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0; + return { + numLoadedModels: Object.values(modelStats).length, + numDefinedModels: Object.keys(this.models).length, + percentageLoaded, + totalSizeFromManifest, + totalSizeWeights, + totalSizeLoading, + modelStats: Object.values(modelStats) + }; + } + reset() { + for (const model23 of Object.keys(this.models)) + this.models[model23] = null; + } + async load(instance) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z, _A; + if (env.initial) + this.reset(); + if (instance) + this.instance = instance; + const m = {}; + m.blazeface = this.instance.config.face.enabled && !this.models.blazeface ? load3(this.instance.config) : null; + m.antispoof = this.instance.config.face.enabled && ((_a = this.instance.config.face.antispoof) == null ? void 0 : _a.enabled) && !this.models.antispoof ? load8(this.instance.config) : null; + m.liveness = this.instance.config.face.enabled && ((_b = this.instance.config.face.liveness) == null ? void 0 : _b.enabled) && !this.models.liveness ? load9(this.instance.config) : null; + m.faceres = this.instance.config.face.enabled && ((_c = this.instance.config.face.description) == null ? void 0 : _c.enabled) && !this.models.faceres ? load7(this.instance.config) : null; + m.emotion = this.instance.config.face.enabled && ((_d = this.instance.config.face.emotion) == null ? void 0 : _d.enabled) && !this.models.emotion ? load6(this.instance.config) : null; + m.iris = this.instance.config.face.enabled && ((_e = this.instance.config.face.iris) == null ? void 0 : _e.enabled) && !((_f = this.instance.config.face.attention) == null ? void 0 : _f.enabled) && !this.models.iris ? load4(this.instance.config) : null; + m.facemesh = this.instance.config.face.enabled && ((_g = this.instance.config.face.mesh) == null ? void 0 : _g.enabled) && !this.models.facemesh ? load5(this.instance.config) : null; + m.gear = this.instance.config.face.enabled && ((_h = this.instance.config.face["gear"]) == null ? void 0 : _h.enabled) && !this.models.gear ? load10(this.instance.config) : null; + m.ssrnetage = this.instance.config.face.enabled && ((_i = this.instance.config.face["ssrnet"]) == null ? void 0 : _i.enabled) && !this.models.ssrnetage ? load11(this.instance.config) : null; + m.ssrnetgender = this.instance.config.face.enabled && ((_j = this.instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) && !this.models.ssrnetgender ? load12(this.instance.config) : null; + m.mobilefacenet = this.instance.config.face.enabled && ((_k = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; + m.insightface = this.instance.config.face.enabled && ((_l = this.instance.config.face["insightface"]) == null ? void 0 : _l.enabled) && !this.models.insightface ? load14(this.instance.config) : null; + m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m = this.instance.config.body.modelPath) == null ? void 0 : _m.includes("blazepose")) ? loadPose(this.instance.config) : null; + m.blazeposedetect = this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body["detector"] && this.instance.config.body["detector"].modelPath ? loadDetect(this.instance.config) : null; + m.efficientpose = this.instance.config.body.enabled && !this.models.efficientpose && ((_n = this.instance.config.body.modelPath) == null ? void 0 : _n.includes("efficientpose")) ? load2(this.instance.config) : null; + m.movenet = this.instance.config.body.enabled && !this.models.movenet && ((_o = this.instance.config.body.modelPath) == null ? void 0 : _o.includes("movenet")) ? load17(this.instance.config) : null; + m.posenet = this.instance.config.body.enabled && !this.models.posenet && ((_p = this.instance.config.body.modelPath) == null ? void 0 : _p.includes("posenet")) ? load19(this.instance.config) : null; + m.handtrack = this.instance.config.hand.enabled && !this.models.handtrack && ((_r = (_q = this.instance.config.hand.detector) == null ? void 0 : _q.modelPath) == null ? void 0 : _r.includes("handtrack")) ? loadDetect2(this.instance.config) : null; + m.handskeleton = this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && ((_t = (_s = this.instance.config.hand.detector) == null ? void 0 : _s.modelPath) == null ? void 0 : _t.includes("handtrack")) ? loadSkeleton(this.instance.config) : null; + if ((_v = (_u = this.instance.config.hand.detector) == null ? void 0 : _u.modelPath) == null ? void 0 : _v.includes("handdetect")) + [m.handpose, m.handskeleton] = !this.models.handpose ? await load15(this.instance.config) : [null, null]; + m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w = this.instance.config.object.modelPath) == null ? void 0 : _w.includes("centernet")) ? load(this.instance.config) : null; + m.nanodet = this.instance.config.object.enabled && !this.models.nanodet && ((_x = this.instance.config.object.modelPath) == null ? void 0 : _x.includes("nanodet")) ? load18(this.instance.config) : null; + m.selfie = this.instance.config.segmentation.enabled && !this.models.selfie && ((_y = this.instance.config.segmentation.modelPath) == null ? void 0 : _y.includes("selfie")) ? load21(this.instance.config) : null; + m.meet = this.instance.config.segmentation.enabled && !this.models.meet && ((_z = this.instance.config.segmentation.modelPath) == null ? void 0 : _z.includes("meet")) ? load16(this.instance.config) : null; + m.rvm = this.instance.config.segmentation.enabled && !this.models.rvm && ((_A = this.instance.config.segmentation.modelPath) == null ? void 0 : _A.includes("rvm")) ? load20(this.instance.config) : null; + for (const [model23, promise] of Object.entries(m)) { + if (promise == null ? void 0 : promise["then"]) + promise["then"]((val) => this.models[model23] = val); + } + await Promise.all(Object.values(m)); + } + list() { + const models3 = Object.keys(this.models).map((model23) => { + var _a; + return { name: model23, loaded: this.models[model23] !== null, size: 0, url: this.models[model23] ? (_a = this.models[model23]) == null ? void 0 : _a["modelUrl"] : null }; + }); + for (const m of models3) { + const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name)); + if (!stats) + continue; + m.size = modelStats[stats].sizeLoadedWeights; + m.url = modelStats[stats].url; + } + return models3; + } + loaded() { + const list = this.list(); + const loaded = list.filter((model23) => model23.loaded).map((model23) => model23.name); + return loaded; + } + validate() { + const missing = []; + for (const defined of Object.keys(this.models)) { + const model23 = this.models[defined]; + if (!model23) + continue; + const res = validateModel(this.instance, model23, defined); + if (res) + missing.push(res); + } + return missing; + } +}; + +// src/util/persons.ts +function join2(faces, bodies, hands, gestures, shape) { + var _a, _b, _c, _d, _e, _f; + let id = 0; + const persons = []; + for (const face4 of faces) { + const person2 = { id: id++, face: face4, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] }; + for (const body4 of bodies) { + if (face4.box[0] > body4.box[0] && face4.box[0] < body4.box[0] + body4.box[2] && face4.box[1] + face4.box[3] > body4.box[1] && face4.box[1] + face4.box[3] < body4.box[1] + body4.box[3]) { + person2.body = body4; + } + } + if (person2.body) { + for (const hand3 of hands) { + if (hand3.box[0] + hand3.box[2] > person2.body.box[0] && hand3.box[0] + hand3.box[2] < person2.body.box[0] + person2.body.box[2] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.left = hand3; + } + if (hand3.box[0] < person2.body.box[0] + person2.body.box[2] && hand3.box[0] > person2.body.box[0] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.right = hand3; + } + } + } + for (const gesture2 of gestures) { + if (gesture2["face"] !== void 0 && gesture2["face"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["iris"] !== void 0 && gesture2["iris"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["body"] !== void 0 && gesture2["body"] === ((_a = person2.body) == null ? void 0 : _a.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b = person2.hands.left) == null ? void 0 : _b.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_c = person2.hands.right) == null ? void 0 : _c.id)) + person2.gestures.push(gesture2); + } + const x = []; + const y = []; + const extractXY = (box) => { + if (box && box.length === 4) { + x.push(box[0], box[0] + box[2]); + y.push(box[1], box[1] + box[3]); + } + }; + extractXY(person2.face.box); + extractXY((_d = person2.body) == null ? void 0 : _d.box); + extractXY((_e = person2.hands.left) == null ? void 0 : _e.box); + extractXY((_f = person2.hands.right) == null ? void 0 : _f.box); + const minX = Math.min(...x); + const minY = Math.min(...y); + person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; + if ((shape == null ? void 0 : shape[1]) && (shape == null ? void 0 : shape[2])) + person2.boxRaw = [person2.box[0] / shape[2], person2.box[1] / shape[1], person2.box[2] / shape[2], person2.box[3] / shape[1]]; + persons.push(person2); + } + return persons; +} + +// src/sample.ts +var face3 = ` /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob @@ -269,7 +14365,8 @@ PQ4GJ+ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1 8z5mOAOST2pDK91cNN+5tsrH3PrW54a06KxT7fdrlh/q1Pc+tJ6IUdZGvHPLezMcnBOWbsPap5r3 ylFtbdT1xUWNWzU0/Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY -euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,st=` +euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`; +var body3 = ` /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAsICAoIBwsKCQoNDAsNERwSEQ8PESIZGhQcKSQrKigk JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX/2wBDAQwNDREPESESEiFFLicuRUVFRUVF RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX/wAARCASwBLADASIA @@ -837,4 +14934,685 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;async function fA(e){let t=(s,A="application/octet-stream")=>fetch(`data:${A};base64,${s}`).then(a=>a.blob()),n,o;switch(e.config.warmup){case"face":n=await t(rt);break;case"body":case"full":n=await t(st);break;default:n=null}if(n){let s=await createImageBitmap(n);o=await e.detect(s,e.config),s.close()}return o}async function mA(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+rt;break;case"full":case"body":n="data:image/jpeg;base64,"+st;break;default:n=""}let o;if(typeof Image!="undefined")o=new Image;else if(P.Image)o=new P.Image;else{t(void 0);return}o.onload=async()=>{let s=D0(o.naturalWidth,o.naturalHeight);if(!s)b("Warmup: Canvas not found"),t(void 0);else{let A=s.getContext("2d");A&&A.drawImage(o,0,0);let a=await e.image(s,!0),i=a.tensor?await e.detect(a.tensor,e.config):void 0;t(i)}},n?o.src=n:t(void 0)})}async function pA(e){let t=s=>Buffer.from(s,"base64"),n;e.config.warmup==="face"?n=t(rt):n=t(st);let o;if("node"in r&&r.getBackend()==="tensorflow"){let s=r.node.decodeJpeg(n),A=r.expandDims(s,0);e.tf.dispose(s),o=await e.detect(A,e.config),e.tf.dispose(A)}else e.config.debug&&b("Warmup tfjs-node not loaded");return o}async function uA(e){let t;return typeof createImageBitmap=="function"?t=await fA(e):typeof Image!="undefined"||P.Canvas!==void 0?t=await mA(e):t=await pA(e),t}async function hA(e){var i,c,d,y;if(!r.env().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=r.getBackend(),n=r.backend();if(t!=="webgl"&&t!=="humangl"||!(n!=null&&n.checkCompileCompletion))return;r.env().set("ENGINE_COMPILE_ONLY",!0);let o=r.engine().state.numTensors,s=[];for(let[l,m]of Object.entries(e.models.models)){if(!m)continue;let x=m!=null&&m.modelSignature&&((c=(i=m==null?void 0:m.inputs)==null?void 0:i[0])!=null&&c.shape)?[...m.inputs[0].shape]:[1,64,64,3],p=m!=null&&m.modelSignature&&((y=(d=m==null?void 0:m.inputs)==null?void 0:d[0])!=null&&y.dtype)?m.inputs[0].dtype:"float32";for(let h=0;hr.dispose(v)):r.dispose(h)}catch(h){e.config.debug&&b("compile fail model:",l)}r.dispose(f)}let A=await n.checkCompileCompletionAsync();n.getUniformLocations(),e.config.debug&&b("compile pass:",{models:s,kernels:A.length}),r.env().set("ENGINE_COMPILE_ONLY",!1);let a=r.engine().state.numTensors;a-o>0&&b("tensor leak:",a-o)}async function Un(e,t){await e2(e,!1);let n=R();return e.state="warmup",t&&(e.config=Q(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?te():new Promise(async o=>{await e.models.load(),await hA(e);let s=await uA(e),A=R();e.config.debug&&b("warmup",e.config.warmup,Math.round(A-n),"ms"),e.emit("warmup"),o(s)})}var Ye,l2,c2,At,be,Yn=class{constructor(t){z(this,"version");z(this,"config");z(this,"result");z(this,"state");z(this,"process");z(this,"tf");z(this,"env",P);z(this,"draw",Tt);z(this,"match",M5);z(this,"models");z(this,"events");z(this,"faceTriangulation");z(this,"faceUVMap");z(this,"performance");q0(this,Ye,void 0);q0(this,l2,void 0);q0(this,c2,void 0);z(this,"analyze",(...t)=>{if(!E0(this,l2))return;let n=this.tf.engine().state.numTensors,o=E0(this,Ye);Q0(this,Ye,n);let s=n-o;s!==0&&b(...t,s)});q0(this,At,t=>{if(!E0(this,c2))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof r.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});z(this,"webcam",new u2);z(this,"emit",t=>{var n;(n=this.events)!=null&&n.dispatchEvent&&this.events.dispatchEvent(new Event(t))});q0(this,be,{});let n=(Je.tfjs||r.version_core).replace(/-(.*)/,"");Ce.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${n}/dist/`,Ce.modelBasePath=P.browser?"../models/":"file://models/",this.version=yt,Object.defineProperty(this,"version",{value:yt}),this.config=JSON.parse(JSON.stringify(Ce)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=Q(this.config,t)),n1(this.config),this.tf=r,this.state="idle",Q0(this,Ye,0),Q0(this,l2,!1),Q0(this,c2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new i2(this),gt(),this.result=te(),this.process={tensor:null,canvas:null},this.faceTriangulation=K1,this.faceUVMap=J1,ot(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&b(`version: ${this.version}`),this.config.debug&&b(`tfjs version: ${this.tf.version["tfjs-core"]}`);let o=JSON.parse(JSON.stringify(this.env));delete o.kernels,delete o.initial,delete o.perfadd,this.config.debug&&b("environment:",o)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(Ce)),this.config.backend=t,dt(),P.initial=!0}validate(t){let n=it(Ce,t||this.config);return n.length===0&&(this.config=Q(this.config,t)),n}now(){return R()}image(t,n=!1){return f2(t,this.config,n)}async segmentation(t,n){var A,a,i;if(n&&(this.config=Q(this.config,n)),!this.config.segmentation.enabled)return null;let o=await f2(t,this.config);if(!o.tensor)return null;let s=null;return(A=this.config.segmentation.modelPath)!=null&&A.includes("rvm")&&(s=await Hn(o.tensor,this.config)),(a=this.config.segmentation.modelPath)!=null&&a.includes("meet")&&(s=await bn(o.tensor,this.config)),(i=this.config.segmentation.modelPath)!=null&&i.includes("selfie")&&(s=await Vn(o.tensor,this.config)),r.dispose(o.tensor),s}compare(t,n){return t1(this.config,t,n)}async init(){await e2(this,!0),await this.tf.ready(),dt()}async load(t){this.state="load";let n=R(),o=Object.values(this.models.models).filter(a=>a).length;t&&(this.config=Q(this.config,t)),this.env.initial&&(await e2(this,!1)||b("error: backend check failed"),await r.ready(),this.env.browser&&(this.config.debug&&b("configuration:",this.config),this.config.debug&&b("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&b("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(a=>a).length!==o&&(this.models.validate(),this.emit("load"));let A=Math.trunc(R()-n);A>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+A:A)}next(t=this.result){return hn(t,this.config)}async warmup(t){let n=R(),o=await Un(this,t),s=R();return this.performance.warmup=Math.trunc(s-n),o}async profile(t,n){let o=await this.tf.profile(()=>this.detect(t,n)),s={},A=0;for(let i of o.kernels){let c=Number(i.kernelTimeMs)||0;s[i.name]?s[i.name]+=c:s[i.name]=c,A+=c}let a=[];Object.entries(s).forEach(i=>a.push({kernel:i[0],time:i[1],perc:0}));for(let i of a)i.perc=Math.round(1e3*i.time/A)/1e3,i.time=Math.round(1e3*i.time)/1e3;return a.sort((i,c)=>c.time-i.time),a.length=20,a}async detect(t,n){return this.state="detect",new Promise(async o=>{var h,v,T,u,g,w,k,N,W,V,D,Z,J,U,q,m0,M,i0,g0,e0,G;this.state="config";let s;this.config=Q(this.config,n),this.state="check";let A=E0(this,At).call(this,t);A&&(b(A,t),this.emit("error"),o(te(A)));let a=R();await this.load(),s=R(),this.state="image";let i=await f2(t,this.config);if(this.process=i,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(R()-s):Math.trunc(R()-s),this.analyze("Get Image:"),!i.tensor){this.config.debug&&b("could not convert input to tensor"),this.emit("error"),o(te("could not convert input to tensor"));return}this.emit("image"),s=R(),this.config.skipAllowed=await e1(this.config,i.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(R()-s):Math.trunc(R()-s),this.analyze("Check Changed:");let c=[],d=[],y=[],l=[];this.state="detect:face",this.config.async?(c=this.config.face.enabled?l5(this,i.tensor):[],this.performance.face&&delete this.performance.face):(s=R(),c=this.config.face.enabled?await l5(this,i.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(R()-s):Math.trunc(R()-s)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(c=await c),this.analyze("Start Body:"),this.state="detect:body";let m=this.config.body.maxDetected===-1?Q(this.config,{body:{maxDetected:this.config.face.enabled?1*c.length:1}}):this.config;this.config.async?((h=this.config.body.modelPath)!=null&&h.includes("posenet")?d=this.config.body.enabled?L5(i.tensor,m):[]:(v=this.config.body.modelPath)!=null&&v.includes("blazepose")?d=this.config.body.enabled?kt(i.tensor,m):[]:(T=this.config.body.modelPath)!=null&&T.includes("efficientpose")?d=this.config.body.enabled?Nt(i.tensor,m):[]:(u=this.config.body.modelPath)!=null&&u.includes("movenet")&&(d=this.config.body.enabled?w5(i.tensor,m):[]),this.performance.body&&delete this.performance.body):(s=R(),(g=this.config.body.modelPath)!=null&&g.includes("posenet")?d=this.config.body.enabled?await L5(i.tensor,m):[]:(w=this.config.body.modelPath)!=null&&w.includes("blazepose")?d=this.config.body.enabled?await kt(i.tensor,m):[]:(k=this.config.body.modelPath)!=null&&k.includes("efficientpose")?d=this.config.body.enabled?await Nt(i.tensor,m):[]:(N=this.config.body.modelPath)!=null&&N.includes("movenet")&&(d=this.config.body.enabled?await w5(i.tensor,m):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(R()-s):Math.trunc(R()-s)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let x=this.config.hand.maxDetected===-1?Q(this.config,{hand:{maxDetected:this.config.face.enabled?2*c.length:1}}):this.config;this.config.async?((V=(W=this.config.hand.detector)==null?void 0:W.modelPath)!=null&&V.includes("handdetect")?y=this.config.hand.enabled?f5(i.tensor,x):[]:(Z=(D=this.config.hand.detector)==null?void 0:D.modelPath)!=null&&Z.includes("handtrack")&&(y=this.config.hand.enabled?u5(i.tensor,x):[]),this.performance.hand&&delete this.performance.hand):(s=R(),(U=(J=this.config.hand.detector)==null?void 0:J.modelPath)!=null&&U.includes("handdetect")?y=this.config.hand.enabled?await f5(i.tensor,x):[]:(m0=(q=this.config.hand.detector)==null?void 0:q.modelPath)!=null&&m0.includes("handtrack")&&(y=this.config.hand.enabled?await u5(i.tensor,x):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(R()-s):Math.trunc(R()-s)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((M=this.config.object.modelPath)!=null&&M.includes("nanodet")?l=this.config.object.enabled?z5(i.tensor,this.config):[]:(i0=this.config.object.modelPath)!=null&&i0.includes("centernet")&&(l=this.config.object.enabled?zt(i.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(s=R(),(g0=this.config.object.modelPath)!=null&&g0.includes("nanodet")?l=this.config.object.enabled?await z5(i.tensor,this.config):[]:(e0=this.config.object.modelPath)!=null&&e0.includes("centernet")&&(l=this.config.object.enabled?await zt(i.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(R()-s):Math.trunc(R()-s)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([c,d,y,l]=await Promise.all([c,d,y,l])),this.state="detect:gesture";let p=[];this.config.gesture.enabled&&(s=R(),p=[...U3(c),...q3(d),...K3(y),...Y3(c)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(R()-s):Math.trunc(R()-s)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(R()-a):Math.trunc(R()-a);let f=((G=this.process.tensor)==null?void 0:G.shape)||[0,0,0,0];this.result={face:c,body:d,hand:y,gesture:p,object:l,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:f[2],height:f[1],get persons(){return qn(c,d,y,p,f)}},r.dispose(i.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(E0(this,be)[t.id]||(this.config.debug&&b("video start",t.id),E0(this,be)[t.id]=!0),!t.paused&&E0(this,be)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),E0(this,be)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&b("video stop",t.id),E0(this,be)[t.id]=!1)}};Ye=new WeakMap,l2=new WeakMap,c2=new WeakMap,At=new WeakMap,be=new WeakMap;export{p2 as Env,Yn as Human,Yn as default,Ce as defaults,Tt as draw,te as empty,P as env,M5 as match,Xn as models}; +2Q==`; + +// src/warmup.ts +async function warmupBitmap(instance) { + const b64toBlob = (base64, type = "application/octet-stream") => fetch(`data:${type};base64,${base64}`).then((res2) => res2.blob()); + let blob; + let res; + switch (instance.config.warmup) { + case "face": + blob = await b64toBlob(face3); + break; + case "body": + case "full": + blob = await b64toBlob(body3); + break; + default: + blob = null; + } + if (blob) { + const bitmap = await createImageBitmap(blob); + res = await instance.detect(bitmap, instance.config); + bitmap.close(); + } + return res; +} +async function warmupCanvas(instance) { + return new Promise((resolve) => { + let src; + switch (instance.config.warmup) { + case "face": + src = "data:image/jpeg;base64," + face3; + break; + case "full": + case "body": + src = "data:image/jpeg;base64," + body3; + break; + default: + src = ""; + } + let img; + if (typeof Image !== "undefined") + img = new Image(); + else if (env.Image) + img = new env.Image(); + else { + resolve(void 0); + return; + } + img.onload = async () => { + const canvas3 = canvas(img.naturalWidth, img.naturalHeight); + if (!canvas3) { + log("Warmup: Canvas not found"); + resolve(void 0); + } else { + const ctx = canvas3.getContext("2d"); + if (ctx) + ctx.drawImage(img, 0, 0); + const tensor6 = await instance.image(canvas3, true); + const res = tensor6.tensor ? await instance.detect(tensor6.tensor, instance.config) : void 0; + resolve(res); + } + }; + if (src) + img.src = src; + else + resolve(void 0); + }); +} +async function warmupNode(instance) { + const atob = (str) => Buffer.from(str, "base64"); + let img; + if (instance.config.warmup === "face") + img = atob(face3); + else + img = atob(body3); + let res; + if ("node" in tfjs_esm_exports && tfjs_esm_exports.getBackend() === "tensorflow") { + const data = tfjs_esm_exports["node"].decodeJpeg(img); + const expanded = tfjs_esm_exports.expandDims(data, 0); + instance.tf.dispose(data); + res = await instance.detect(expanded, instance.config); + instance.tf.dispose(expanded); + } else { + if (instance.config.debug) + log("Warmup tfjs-node not loaded"); + } + return res; +} +async function runInference(instance) { + let res; + if (typeof createImageBitmap === "function") + res = await warmupBitmap(instance); + else if (typeof Image !== "undefined" || env.Canvas !== void 0) + res = await warmupCanvas(instance); + else + res = await warmupNode(instance); + return res; +} +async function runCompile(instance) { + var _a, _b, _c, _d; + if (!tfjs_esm_exports.env().flagRegistry.ENGINE_COMPILE_ONLY) + return; + const backendType = tfjs_esm_exports.getBackend(); + const webGLBackend = tfjs_esm_exports.backend(); + if (backendType !== "webgl" && backendType !== "humangl" || !(webGLBackend == null ? void 0 : webGLBackend["checkCompileCompletion"])) { + return; + } + tfjs_esm_exports.env().set("ENGINE_COMPILE_ONLY", true); + const numTensorsStart = tfjs_esm_exports.engine().state.numTensors; + const compiledModels = []; + for (const [modelName, model23] of Object.entries(instance.models.models)) { + if (!model23) + continue; + const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b = (_a = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a[0]) == null ? void 0 : _b.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; + const dtype = (model23 == null ? void 0 : model23.modelSignature) && ((_d = (_c = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _c[0]) == null ? void 0 : _d.dtype) ? model23.inputs[0].dtype : "float32"; + for (let dim = 0; dim < shape.length; dim++) { + if (shape[dim] === -1) + shape[dim] = dim === 0 ? 1 : 64; + } + const tensor6 = tfjs_esm_exports.zeros(shape, dtype); + try { + const res = model23.execute(tensor6); + compiledModels.push(modelName); + if (Array.isArray(res)) + res.forEach((t2) => tfjs_esm_exports.dispose(t2)); + else + tfjs_esm_exports.dispose(res); + } catch (e) { + if (instance.config.debug) + log("compile fail model:", modelName); + } + tfjs_esm_exports.dispose(tensor6); + } + const kernels = await webGLBackend["checkCompileCompletionAsync"](); + webGLBackend["getUniformLocations"](); + if (instance.config.debug) + log("compile pass:", { models: compiledModels, kernels: kernels.length }); + tfjs_esm_exports.env().set("ENGINE_COMPILE_ONLY", false); + const numTensorsEnd = tfjs_esm_exports.engine().state.numTensors; + if (numTensorsEnd - numTensorsStart > 0) + log("tensor leak:", numTensorsEnd - numTensorsStart); +} +async function warmup(instance, userConfig) { + await check(instance, false); + const t0 = now(); + instance.state = "warmup"; + if (userConfig) + instance.config = mergeDeep(instance.config, userConfig); + if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === "none") { + return empty(); + } + return new Promise(async (resolve) => { + await instance.models.load(); + await runCompile(instance); + const res = await runInference(instance); + const t1 = now(); + if (instance.config.debug) + log("warmup", instance.config.warmup, Math.round(t1 - t0), "ms"); + instance.emit("warmup"); + resolve(res); + }); +} + +// src/human.ts +var _numTensors, _analyzeMemoryLeaks, _checkSanity, _sanity, _loops; +var Human = class { + // definition end + /** Constructor for **Human** library that is futher used for all operations + * @param userConfig - user configuration object {@link Config} + */ + constructor(userConfig) { + /** Current version of Human library in *semver* format */ + __publicField(this, "version"); + /** Current configuration + * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) + */ + __publicField(this, "config"); + /** Last known result of detect run + * - Can be accessed anytime after initial detection + */ + __publicField(this, "result"); + /** Current state of Human library + * - Can be polled to determine operations that are currently executed + * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle' + */ + __publicField(this, "state"); + /** currenty processed image tensor and canvas */ + __publicField(this, "process"); + /** Instance of TensorFlow/JS used by Human + * - Can be embedded or externally provided + * [TFJS API](https://js.tensorflow.org/api/latest/) + */ + __publicField(this, "tf"); + /** Object containing environment information used for diagnostics */ + __publicField(this, "env", env); + /** Draw helper classes that can draw detected objects on canvas using specified draw + * - canvas: draws input to canvas + * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions} + * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas + */ + // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions }; + __publicField(this, "draw", draw_exports); + /** Face Matching + * - similarity: compare two face descriptors and return similarity index + * - distance: compare two face descriptors and return raw calculated differences + * - find: compare face descriptor to array of face descriptors and return best match + */ + __publicField(this, "match", match_exports); + /** Currently loaded models + * @internal + * {@link models#Models} + */ + __publicField(this, "models"); + /** Container for events dispatched by Human + * Possible events: + * - `create`: triggered when Human object is instantiated + * - `load`: triggered when models are loaded (explicitly or on-demand) + * - `image`: triggered when input image is processed + * - `result`: triggered when detection is complete + * - `warmup`: triggered when warmup is complete + * - `error`: triggered on some errors + */ + __publicField(this, "events"); + /** Reference face triangualtion array of 468 points, used for triangle references between points */ + __publicField(this, "faceTriangulation"); + /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */ + __publicField(this, "faceUVMap"); + /** Performance object that contains values for all recently performed operations */ + __publicField(this, "performance"); + // perf members are dynamically defined as needed + __privateAdd(this, _numTensors, void 0); + __privateAdd(this, _analyzeMemoryLeaks, void 0); + __privateAdd(this, _checkSanity, void 0); + /** internal function to measure tensor leaks */ + __publicField(this, "analyze", (...msg) => { + if (!__privateGet(this, _analyzeMemoryLeaks)) + return; + const currentTensors = this.tf.engine().state.numTensors; + const previousTensors = __privateGet(this, _numTensors); + __privateSet(this, _numTensors, currentTensors); + const leaked = currentTensors - previousTensors; + if (leaked !== 0) + log(...msg, leaked); + }); + /** internal function for quick sanity check on inputs @hidden */ + __privateAdd(this, _sanity, (input) => { + if (!__privateGet(this, _checkSanity)) + return null; + if (!input) + return "input is not defined"; + if (this.env.node && !(input instanceof tfjs_esm_exports.Tensor)) + return "input must be a tensor"; + try { + this.tf.getBackend(); + } catch (e) { + return "backend not loaded"; + } + return null; + }); + /** WebCam helper methods + * + */ + __publicField(this, "webcam", new WebCam()); + /** emit event */ + __publicField(this, "emit", (event) => { + var _a; + if ((_a = this.events) == null ? void 0 : _a.dispatchEvent) + this.events.dispatchEvent(new Event(event)); + }); + /** internal structure that keeps track of processed videos @hidden */ + __privateAdd(this, _loops, {}); + const tfVersion = (version7.tfjs || tfjs_esm_exports.version_core).replace(/-(.*)/, ""); + config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`; + config.modelBasePath = env.browser ? "../models/" : "file://models/"; + this.version = version8; + Object.defineProperty(this, "version", { value: version8 }); + this.config = JSON.parse(JSON.stringify(config)); + Object.seal(this.config); + this.config.cacheModels = typeof indexedDB !== "undefined"; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + setModelLoadOptions(this.config); + this.tf = tfjs_esm_exports; + this.state = "idle"; + __privateSet(this, _numTensors, 0); + __privateSet(this, _analyzeMemoryLeaks, false); + __privateSet(this, _checkSanity, false); + this.performance = {}; + this.events = typeof EventTarget !== "undefined" ? new EventTarget() : void 0; + this.models = new Models(this); + init2(); + this.result = empty(); + this.process = { tensor: null, canvas: null }; + this.faceTriangulation = triangulation; + this.faceUVMap = uvmap; + validateModel(this, null, ""); + this.emit("create"); + if (this.config.debug || this.env.browser) + log(`version: ${this.version}`); + if (this.config.debug) + log(`tfjs version: ${this.tf.version["tfjs-core"]}`); + const envTemp = JSON.parse(JSON.stringify(this.env)); + delete envTemp.kernels; + delete envTemp.initial; + delete envTemp.perfadd; + if (this.config.debug) + log("environment:", envTemp); + } + /** Reset configuration to default values */ + reset() { + const currentBackend = this.config.backend; + this.config = JSON.parse(JSON.stringify(config)); + this.config.backend = currentBackend; + reset(); + env.initial = true; + } + /** Validate current configuration schema */ + validate(userConfig) { + const msgs = validate(config, userConfig || this.config); + if (msgs.length === 0) + this.config = mergeDeep(this.config, userConfig); + return msgs; + } + /** Utility wrapper for performance.now() */ + now() { + return now(); + } + /** Process input as return canvas and tensor + * + * @param input - any input {@link Input} + * @param getTensor - should image processing also return tensor or just canvas + * Returns object with `tensor` and `canvas` + */ + image(input, getTensor = false) { + return process2(input, this.config, getTensor); + } + /** Segmentation method takes any input and returns RGBA tensor + * Note: Segmentation is not triggered as part of detect process + * + * @param input - {@link Input} + * Returns tensor which contains image data in RGBA format + */ + async segmentation(input, userConfig) { + var _a, _b, _c; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (!this.config.segmentation.enabled) + return null; + const processed = await process2(input, this.config); + if (!processed.tensor) + return null; + let tensor6 = null; + if ((_a = this.config.segmentation.modelPath) == null ? void 0 : _a.includes("rvm")) + tensor6 = await predict20(processed.tensor, this.config); + if ((_b = this.config.segmentation.modelPath) == null ? void 0 : _b.includes("meet")) + tensor6 = await predict16(processed.tensor, this.config); + if ((_c = this.config.segmentation.modelPath) == null ? void 0 : _c.includes("selfie")) + tensor6 = await predict21(processed.tensor, this.config); + tfjs_esm_exports.dispose(processed.tensor); + return tensor6; + } + /** Compare two input tensors for pixel similarity + * - use `human.image` to process any valid input and get a tensor that can be used for compare + * - when passing manually generated tensors: + * - both input tensors must be in format [1, height, width, 3] + * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor + * - return value is pixel similarity score normalized by input resolution and rgb channels + */ + compare(firstImageTensor, secondImageTensor) { + return compare(this.config, firstImageTensor, secondImageTensor); + } + /** Explicit backend initialization + * - Normally done implicitly during initial load phase + * - Call to explictly register and initialize TFJS backend without any other operations + * - Use when changing backend during runtime + */ + async init() { + await check(this, true); + await this.tf.ready(); + reset(); + } + /** Load method preloads all configured models on-demand + * - Not explicitly required as any required model is load implicitly on it's first run + * + * @param userConfig - {@link Config} + */ + async load(userConfig) { + this.state = "load"; + const timeStamp = now(); + const count2 = Object.values(this.models.models).filter((model23) => model23).length; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (this.env.initial) { + if (!await check(this, false)) + log("error: backend check failed"); + await tfjs_esm_exports.ready(); + if (this.env.browser) { + if (this.config.debug) + log("configuration:", this.config); + if (this.config.debug) + log("tf flags:", this.tf.ENV.flags); + } + } + await this.models.load(this); + if (this.env.initial && this.config.debug) + log("tf engine state:", this.tf.engine().state.numBytes, "bytes", this.tf.engine().state.numTensors, "tensors"); + this.env.initial = false; + const loaded = Object.values(this.models.models).filter((model23) => model23).length; + if (loaded !== count2) { + this.models.validate(); + this.emit("load"); + } + const current = Math.trunc(now() - timeStamp); + if (current > (this.performance.loadModels || 0)) + this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current; + } + /** Runs interpolation using last known result and returns smoothened result + * Interpolation is based on time since last known result so can be called independently + * + * @param result - {@link Result} optional use specific result set to run interpolation on + * @returns result - {@link Result} + */ + next(result = this.result) { + return calc2(result, this.config); + } + /** Warmup method pre-initializes all configured models for faster inference + * - can take significant time on startup + * - only used for `webgl` and `humangl` backends + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async warmup(userConfig) { + const t0 = now(); + const res = await warmup(this, userConfig); + const t1 = now(); + this.performance.warmup = Math.trunc(t1 - t0); + return res; + } + /** Run detect with tensorflow profiling + * - result object will contain total exeuction time information for top-20 kernels + * - actual detection object can be accessed via `human.result` + */ + async profile(input, userConfig) { + const profile = await this.tf.profile(() => this.detect(input, userConfig)); + const kernels = {}; + let total = 0; + for (const kernel of profile.kernels) { + const ms = Number(kernel.kernelTimeMs) || 0; + if (kernels[kernel.name]) + kernels[kernel.name] += ms; + else + kernels[kernel.name] = ms; + total += ms; + } + const kernelArr = []; + Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1], perc: 0 })); + for (const kernel of kernelArr) { + kernel.perc = Math.round(1e3 * kernel.time / total) / 1e3; + kernel.time = Math.round(1e3 * kernel.time) / 1e3; + } + kernelArr.sort((a, b) => b.time - a.time); + kernelArr.length = 20; + return kernelArr; + } + /** Main detection method + * - Analyze configuration: {@link Config} + * - Pre-process input: {@link Input} + * - Run inference for all configured models + * - Process and return result: {@link Result} + * + * @param input - {@link Input} + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async detect(input, userConfig) { + this.state = "detect"; + return new Promise(async (resolve) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u; + this.state = "config"; + let timeStamp; + this.config = mergeDeep(this.config, userConfig); + this.state = "check"; + const error = __privateGet(this, _sanity).call(this, input); + if (error) { + log(error, input); + this.emit("error"); + resolve(empty(error)); + } + const timeStart = now(); + await this.load(); + timeStamp = now(); + this.state = "image"; + const img = await process2(input, this.config); + this.process = img; + this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Get Image:"); + if (!img.tensor) { + if (this.config.debug) + log("could not convert input to tensor"); + this.emit("error"); + resolve(empty("could not convert input to tensor")); + return; + } + this.emit("image"); + timeStamp = now(); + this.config.skipAllowed = await skip(this.config, img.tensor); + this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; + if (!this.performance.totalFrames) + this.performance.totalFrames = 0; + if (!this.performance.cachedFrames) + this.performance.cachedFrames = 0; + this.performance.totalFrames++; + if (this.config.skipAllowed) + this.performance.cachedFrames++; + this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Check Changed:"); + let faceRes = []; + let bodyRes = []; + let handRes = []; + let objectRes = []; + this.state = "detect:face"; + if (this.config.async) { + faceRes = this.config.face.enabled ? detectFace(this, img.tensor) : []; + if (this.performance.face) + delete this.performance.face; + } else { + timeStamp = now(); + faceRes = this.config.face.enabled ? await detectFace(this, img.tensor) : []; + this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) + faceRes = await faceRes; + this.analyze("Start Body:"); + this.state = "detect:body"; + const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_a = this.config.body.modelPath) == null ? void 0 : _a.includes("posenet")) + bodyRes = this.config.body.enabled ? predict19(img.tensor, bodyConfig) : []; + else if ((_b = this.config.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + bodyRes = this.config.body.enabled ? predict(img.tensor, bodyConfig) : []; + else if ((_c = this.config.body.modelPath) == null ? void 0 : _c.includes("efficientpose")) + bodyRes = this.config.body.enabled ? predict3(img.tensor, bodyConfig) : []; + else if ((_d = this.config.body.modelPath) == null ? void 0 : _d.includes("movenet")) + bodyRes = this.config.body.enabled ? predict17(img.tensor, bodyConfig) : []; + if (this.performance.body) + delete this.performance.body; + } else { + timeStamp = now(); + if ((_e = this.config.body.modelPath) == null ? void 0 : _e.includes("posenet")) + bodyRes = this.config.body.enabled ? await predict19(img.tensor, bodyConfig) : []; + else if ((_f = this.config.body.modelPath) == null ? void 0 : _f.includes("blazepose")) + bodyRes = this.config.body.enabled ? await predict(img.tensor, bodyConfig) : []; + else if ((_g = this.config.body.modelPath) == null ? void 0 : _g.includes("efficientpose")) + bodyRes = this.config.body.enabled ? await predict3(img.tensor, bodyConfig) : []; + else if ((_h = this.config.body.modelPath) == null ? void 0 : _h.includes("movenet")) + bodyRes = this.config.body.enabled ? await predict17(img.tensor, bodyConfig) : []; + this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Body:"); + this.analyze("Start Hand:"); + this.state = "detect:hand"; + const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_j = (_i = this.config.hand.detector) == null ? void 0 : _i.modelPath) == null ? void 0 : _j.includes("handdetect")) + handRes = this.config.hand.enabled ? predict14(img.tensor, handConfig) : []; + else if ((_l = (_k = this.config.hand.detector) == null ? void 0 : _k.modelPath) == null ? void 0 : _l.includes("handtrack")) + handRes = this.config.hand.enabled ? predict15(img.tensor, handConfig) : []; + if (this.performance.hand) + delete this.performance.hand; + } else { + timeStamp = now(); + if ((_n = (_m = this.config.hand.detector) == null ? void 0 : _m.modelPath) == null ? void 0 : _n.includes("handdetect")) + handRes = this.config.hand.enabled ? await predict14(img.tensor, handConfig) : []; + else if ((_p = (_o = this.config.hand.detector) == null ? void 0 : _o.modelPath) == null ? void 0 : _p.includes("handtrack")) + handRes = this.config.hand.enabled ? await predict15(img.tensor, handConfig) : []; + this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Hand:"); + this.analyze("Start Object:"); + this.state = "detect:object"; + if (this.config.async) { + if ((_q = this.config.object.modelPath) == null ? void 0 : _q.includes("nanodet")) + objectRes = this.config.object.enabled ? predict18(img.tensor, this.config) : []; + else if ((_r = this.config.object.modelPath) == null ? void 0 : _r.includes("centernet")) + objectRes = this.config.object.enabled ? predict2(img.tensor, this.config) : []; + if (this.performance.object) + delete this.performance.object; + } else { + timeStamp = now(); + if ((_s = this.config.object.modelPath) == null ? void 0 : _s.includes("nanodet")) + objectRes = this.config.object.enabled ? await predict18(img.tensor, this.config) : []; + else if ((_t = this.config.object.modelPath) == null ? void 0 : _t.includes("centernet")) + objectRes = this.config.object.enabled ? await predict2(img.tensor, this.config) : []; + this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Object:"); + this.state = "detect:await"; + if (this.config.async) + [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]); + this.state = "detect:gesture"; + let gestureRes = []; + if (this.config.gesture.enabled) { + timeStamp = now(); + gestureRes = [...face2(faceRes), ...body2(bodyRes), ...hand2(handRes), ...iris2(faceRes)]; + if (!this.config.async) + this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + else if (this.performance.gesture) + delete this.performance.gesture; + } + this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart); + const shape = ((_u = this.process.tensor) == null ? void 0 : _u.shape) || [0, 0, 0, 0]; + this.result = { + face: faceRes, + body: bodyRes, + hand: handRes, + gesture: gestureRes, + object: objectRes, + performance: this.performance, + canvas: this.process.canvas, + timestamp: Date.now(), + error: null, + width: shape[2], + height: shape[1], + get persons() { + return join2(faceRes, bodyRes, handRes, gestureRes, shape); + } + }; + tfjs_esm_exports.dispose(img.tensor); + this.emit("detect"); + this.state = "idle"; + resolve(this.result); + }); + } + /** Helper function + * @param ms - sleep time in miliseconds + */ + async sleep(ms) { + return new Promise((resolve) => { + setTimeout(resolve, ms); + }); + } + /** Continously detect video frames + * @param element - HTMLVideoElement input + * @param run - boolean run continously or stop if already running, default true + * @param delay - number delay detection between frames for number of miliseconds, default 0 + */ + async video(element, run = true, delay = 0) { + if (run) { + if (!__privateGet(this, _loops)[element.id]) { + if (this.config.debug) + log("video start", element.id); + __privateGet(this, _loops)[element.id] = true; + } + if (!element.paused && __privateGet(this, _loops)[element.id] && element.readyState >= 2) + await this.detect(element); + if (delay > 0) + await this.sleep(delay); + if (__privateGet(this, _loops)[element.id]) + requestAnimationFrame(() => this.video(element, run, delay)); + } else { + if (this.config.debug) + log("video stop", element.id); + __privateGet(this, _loops)[element.id] = false; + } + } +}; +_numTensors = new WeakMap(); +_analyzeMemoryLeaks = new WeakMap(); +_checkSanity = new WeakMap(); +_sanity = new WeakMap(); +_loops = new WeakMap(); +export { + Env, + Human, + Human as default, + config as defaults, + draw_exports as draw, + empty, + env, + match_exports as match, + models_exports2 as models +}; diff --git a/dist/human.esm.js b/dist/human.esm.js index cc3c8ad8..0bac55df 100644 --- a/dist/human.esm.js +++ b/dist/human.esm.js @@ -36,605 +36,613 @@ var __privateSet = (obj, member, value, setter) => { // dist/tfjs.esm.js var tfjs_esm_exports = {}; __export(tfjs_esm_exports, { - Abs: () => ys, - Acos: () => aa, - Acosh: () => ia, - AdadeltaOptimizer: () => yu, - AdagradOptimizer: () => bu, - AdamOptimizer: () => Cu, - AdamaxOptimizer: () => Su, - Add: () => eo, - AddN: () => Po, - All: () => Mo, - Any: () => Lo, - ArgMax: () => Bo, - ArgMin: () => ei, - Asin: () => ua, - Asinh: () => pa, - Atan: () => ca, - Atan2: () => ma, - Atanh: () => la, - AvgPool: () => Vo, - AvgPool3D: () => dp, - AvgPool3DGrad: () => vm, - AvgPoolGrad: () => mp, - BackendWasm: () => Ll, - BatchMatMul: () => zo, - BatchToSpaceND: () => bs, - Bincount: () => ti, - BroadcastArgs: () => fp, - BroadcastTo: () => ise, - Cast: () => co, - Ceil: () => Wo, - ClipByValue: () => lo, - Complex: () => ri, - ComplexAbs: () => hp, - Concat: () => Cs, - Conv2D: () => Uo, - Conv2DBackpropFilter: () => oi, - Conv2DBackpropInput: () => Go, - Conv3D: () => gp, - Conv3DBackpropFilterV2: () => km, - Conv3DBackpropInputV2: () => xp, - Cos: () => Ho, - Cosh: () => Ko, - CropAndResize: () => Xo, - Cumprod: () => qo, - Cumsum: () => jo, - DataStorage: () => Fo, - DenseBincount: () => ni, - DepthToSpace: () => Yo, - DepthwiseConv2dNative: () => Qo, - DepthwiseConv2dNativeBackpropFilter: () => yp, - DepthwiseConv2dNativeBackpropInput: () => bp, - Diag: () => si, - Dilation2D: () => ai, - Dilation2DBackpropFilter: () => $b, - Dilation2DBackpropInput: () => _b, - ENV: () => kb, - Einsum: () => ii, - Elu: () => Jo, - EluGrad: () => Nm, - Environment: () => Uc, - Equal: () => en, - Erf: () => da, - Exp: () => tn, - ExpandDims: () => Ss, - Expm1: () => fa, - FFT: () => ui, - Fill: () => ws, - FlipLeftRight: () => rn, - Floor: () => on, - FloorDiv: () => nn, - FromPixels: () => Zi, - FusedBatchNorm: () => sn, - FusedConv2D: () => go, - FusedDepthwiseConv2D: () => xo, - GPGPUContext: () => Lu, - GatherNd: () => an, - GatherV2: () => Is, - GraphModel: () => fl, - Greater: () => un, - GreaterEqual: () => pn, - IFFT: () => pi, - Identity: () => mo, - Imag: () => ci, - IsFinite: () => ha, - IsInf: () => ga, - IsNan: () => cn, - KernelBackend: () => Zr, - LRN: () => mi, - LRNGrad: () => Tm, - LeakyRelu: () => ln, - Less: () => mn, - LessEqual: () => dn, - LinSpace: () => li, - Log: () => fn, - Log1p: () => xa, - LogSoftmax: () => use, - LogicalAnd: () => hn, - LogicalNot: () => gn, - LogicalOr: () => xn, - LogicalXor: () => XI, - LowerBound: () => pse, - MathBackendCPU: () => Pi, - MathBackendWebGL: () => Vi, - Max: () => yn, - MaxPool: () => Cn, - MaxPool3D: () => Cp, - MaxPool3DGrad: () => $m, - MaxPoolGrad: () => _m, - MaxPoolWithArgmax: () => Sp, - Maximum: () => bn, - Mean: () => Sn, - Min: () => wn, - Minimum: () => In, - MirrorPad: () => vn, - Mod: () => ya, - MomentumOptimizer: () => wu, - Multinomial: () => wp, - Multiply: () => kn, - Neg: () => vs, - NonMaxSuppressionV3: () => Tn, - NonMaxSuppressionV4: () => ba, - NonMaxSuppressionV5: () => _n, - NotEqual: () => Nn, - OP_SCOPE_SUFFIX: () => jb, - OneHot: () => $n, - OnesLike: () => ks, - Optimizer: () => wr, - OptimizerConstructors: () => cl, - Pack: () => Ns, - PadV2: () => En, - Pool: () => cse, - Pow: () => An, - Prelu: () => Rn, - Prod: () => Dn, - RMSPropOptimizer: () => Iu, - RaggedGather: () => Ip, - RaggedRange: () => vp, - RaggedTensorToTensor: () => kp, - Range: () => Ts, - Rank: () => Lb, - Real: () => di, - RealDiv: () => Zo, - Reciprocal: () => Fn, - Reduction: () => $t, - Relu: () => On, - Relu6: () => Ln, - Reshape: () => _s, - ResizeBilinear: () => Mn, - ResizeBilinearGrad: () => Am, - ResizeNearestNeighbor: () => Pn, - ResizeNearestNeighborGrad: () => Em, - Reverse: () => Bn, - RotateWithOffset: () => ts, - Round: () => Vn, - Rsqrt: () => zn, - SGDOptimizer: () => Pa, - ScatterNd: () => Wn, - SearchSorted: () => fi, - Select: () => $s, - Selu: () => Ca, - Sigmoid: () => Gn, - Sign: () => wa, - Sin: () => Un, - Sinh: () => Sa, - Slice: () => Es, - Softmax: () => qn, - Softplus: () => Ia, - SpaceToBatchND: () => As, - SparseFillEmptyRows: () => hi, - SparseReshape: () => va, - SparseSegmentMean: () => gi, - SparseSegmentSum: () => xi, - SparseToDense: () => yi, - SplitV: () => Rs, - Sqrt: () => Hn, - Square: () => bi, - SquaredDifference: () => jn, - Step: () => fo, - StridedSlice: () => Xn, - StringNGrams: () => Ds, - StringSplit: () => Ci, - StringToHashBucketFast: () => Si, - Sub: () => Yn, - Sum: () => Kn, - Tan: () => Qn, - Tanh: () => Zn, - Tensor: () => it, - TensorBuffer: () => st, - Tile: () => to, - TopK: () => Jn, - Transform: () => es, - Transpose: () => ro, - Unique: () => Np, - Unpack: () => Fs, - UnsortedSegmentSum: () => Tp, - UpperBound: () => lse, - Variable: () => Na, - WebGPUBackend: () => Gi, - ZerosLike: () => Os, - _FusedMatMul: () => ho, - abs: () => Yt, - acos: () => G0, - acosh: () => H0, + Abs: () => Gs, + Acos: () => zo, + Acosh: () => Vo, + AdadeltaOptimizer: () => Yu, + AdagradOptimizer: () => Qu, + AdamOptimizer: () => Zu, + AdamaxOptimizer: () => Ju, + Add: () => no, + AddN: () => Wo, + All: () => Uo, + Any: () => Go, + ArgMax: () => Hs, + ArgMin: () => Ks, + Asin: () => Ho, + Asinh: () => Ko, + Atan: () => qo, + Atan2: () => Xo, + Atanh: () => jo, + AvgPool: () => Yo, + AvgPool3D: () => qs, + AvgPool3DGrad: () => Ni, + AvgPoolGrad: () => Gp, + BackendWasm: () => am, + BatchMatMul: () => Qo, + BatchToSpaceND: () => js, + Bincount: () => Zo, + BitwiseAnd: () => ml, + BroadcastArgs: () => Xs, + BroadcastTo: () => Kpe, + Cast: () => ho, + Ceil: () => Jo, + ClipByValue: () => go, + Complex: () => Ti, + ComplexAbs: () => _i, + Concat: () => Ys, + Conv2D: () => en, + Conv2DBackpropFilter: () => $i, + Conv2DBackpropInput: () => tn, + Conv3D: () => rn, + Conv3DBackpropFilterV2: () => za, + Conv3DBackpropInputV2: () => on, + Cos: () => nn, + Cosh: () => sn, + CropAndResize: () => pn, + Cumprod: () => an, + Cumsum: () => un, + DataStorage: () => Lo, + DenseBincount: () => Qs, + DepthToSpace: () => cn, + DepthwiseConv2dNative: () => ln, + DepthwiseConv2dNativeBackpropFilter: () => Ei, + DepthwiseConv2dNativeBackpropInput: () => Ri, + Diag: () => Zs, + Dilation2D: () => mn, + Dilation2DBackpropFilter: () => Ai, + Dilation2DBackpropInput: () => Di, + ENV: () => WC, + Einsum: () => Fi, + Elu: () => fn, + EluGrad: () => Va, + Environment: () => cl, + Equal: () => hn, + Erf: () => Wa, + Exp: () => gn, + ExpandDims: () => Js, + Expm1: () => xn, + FFT: () => Pi, + Fill: () => ea, + FlipLeftRight: () => yn, + Floor: () => bn, + FloorDiv: () => Cn, + FromPixels: () => $u, + FusedBatchNorm: () => wn, + FusedConv2D: () => Co, + FusedDepthwiseConv2D: () => wo, + GPGPUContext: () => xp, + GatherNd: () => Sn, + GatherV2: () => ta, + GraphModel: () => Ol, + Greater: () => In, + GreaterEqual: () => vn, + IFFT: () => Oi, + Identity: () => xo, + Imag: () => Mi, + IsFinite: () => kn, + IsInf: () => Nn, + IsNan: () => Tn, + KernelBackend: () => ro, + LRN: () => Mn, + LRNGrad: () => Ua, + LeakyRelu: () => _n, + Less: () => $n, + LessEqual: () => En, + LinSpace: () => Rn, + Log: () => Dn, + Log1p: () => An, + LogSoftmax: () => qpe, + LogicalAnd: () => Fn, + LogicalNot: () => Pn, + LogicalOr: () => On, + LogicalXor: () => m0, + LowerBound: () => jpe, + MathBackendCPU: () => lu, + MathBackendWebGL: () => hu, + MatrixBandPart: () => Xpe, + Max: () => Ln, + MaxPool: () => zn, + MaxPool3D: () => ra, + MaxPool3DGrad: () => Li, + MaxPoolGrad: () => Hp, + MaxPoolWithArgmax: () => Bi, + Maximum: () => Bn, + Mean: () => Vn, + Min: () => Wn, + Minimum: () => Un, + MirrorPad: () => Gn, + Mod: () => Ga, + MomentumOptimizer: () => ep, + Multinomial: () => Hn, + Multiply: () => Kn, + Neg: () => oa, + NonMaxSuppressionV3: () => jn, + NonMaxSuppressionV4: () => Ha, + NonMaxSuppressionV5: () => Xn, + NotEqual: () => qn, + OP_SCOPE_SUFFIX: () => pw, + OneHot: () => Yn, + OnesLike: () => na, + Optimizer: () => kr, + OptimizerConstructors: () => Dl, + Pack: () => sa, + PadV2: () => Qn, + Pool: () => Ype, + Pow: () => Zn, + Prelu: () => Jn, + Prod: () => es, + RMSPropOptimizer: () => tp, + RaggedGather: () => Kp, + RaggedRange: () => qp, + RaggedTensorToTensor: () => jp, + Range: () => aa, + Rank: () => JC, + Real: () => zi, + RealDiv: () => dn, + Reciprocal: () => ts, + Reduction: () => Et, + Relu: () => rs, + Relu6: () => ss, + Reshape: () => ia, + ResizeBilinear: () => ns, + ResizeBilinearGrad: () => qa, + ResizeNearestNeighbor: () => os, + ResizeNearestNeighborGrad: () => Ka, + Reverse: () => as, + RotateWithOffset: () => _s, + Round: () => is, + Rsqrt: () => us, + SGDOptimizer: () => ii, + ScatterNd: () => ps, + SearchSorted: () => ls, + Select: () => ua, + Selu: () => ms, + Sigmoid: () => hs, + Sign: () => fs, + Sin: () => ds, + Sinh: () => ja, + Slice: () => pa, + Softmax: () => bs, + Softplus: () => gs, + SpaceToBatchND: () => ca, + SparseFillEmptyRows: () => Vi, + SparseReshape: () => Xa, + SparseSegmentMean: () => Wi, + SparseSegmentSum: () => Ui, + SparseToDense: () => Cs, + SplitV: () => la, + Sqrt: () => xs, + Square: () => Gi, + SquaredDifference: () => ws, + StaticRegexReplace: () => _u, + Step: () => yo, + StridedSlice: () => Ss, + StringNGrams: () => ma, + StringSplit: () => Hi, + StringToHashBucketFast: () => Ki, + Sub: () => Is, + Sum: () => ys, + Tan: () => vs, + Tanh: () => ks, + Tensor: () => pt, + TensorBuffer: () => tt, + TensorScatterUpdate: () => cs, + Tile: () => so, + TopK: () => Ns, + Transform: () => Ts, + Transpose: () => ao, + Unique: () => qi, + Unpack: () => da, + UnsortedSegmentSum: () => ji, + UpperBound: () => Qpe, + Variable: () => Qa, + WebGPUBackend: () => Cu, + ZerosLike: () => fa, + _FusedMatMul: () => bo, + abs: () => Zt, + acos: () => ik, + acosh: () => uk, add: () => be, - addN: () => K0, - all: () => q0, - any: () => j0, - argMax: () => X0, - argMin: () => Y0, - asin: () => Q0, - asinh: () => Z0, - atan: () => J0, - atan2: () => ev, - atanh: () => tv, - avgPool: () => qm, - avgPool3d: () => nv, - backend: () => Pie, - backend_util: () => S, - basicLSTMCell: () => sv, - batchNorm: () => _i, - batchNorm2d: () => iv, - batchNorm3d: () => uv, - batchNorm4d: () => pv, - batchToSpaceND: () => jm, - bincount: () => Xm, - booleanMaskAsync: () => VG, - broadcastArgs: () => cv, - broadcastTo: () => $i, - broadcast_util: () => yr, - browser: () => gN, - buffer: () => le, - cast: () => je, - ceil: () => lv, - clipByValue: () => mv, - clone: () => Lr, - complex: () => Tr, - concat: () => xt, - concat1d: () => dv, - concat2d: () => fv, - concat3d: () => hv, - concat4d: () => gv, - conv1d: () => xv, - conv2d: () => Ei, - conv2dTranspose: () => yv, - conv3d: () => bv, - conv3dTranspose: () => Sv, - copyRegisteredKernels: () => bse, - cos: () => wv, - cosh: () => Iv, - cosineWindow: () => al, - cumprod: () => vv, - cumsum: () => kv, - customGrad: () => br, - denseBincount: () => Nv, - deprecationWarn: () => nC, - depthToSpace: () => Tv, - depthwiseConv2d: () => Bp, - deregisterOp: () => Mq, - device_util: () => ki, - diag: () => _v, - dilation2d: () => $v, - disableDeprecationWarnings: () => kie, + addN: () => pk, + all: () => ck, + any: () => lk, + argMax: () => mk, + argMin: () => dk, + asin: () => fk, + asinh: () => hk, + atan: () => gk, + atan2: () => xk, + atanh: () => yk, + avgPool: () => cd, + avgPool3d: () => wk, + backend: () => Tme, + backend_util: () => C, + basicLSTMCell: () => Sk, + batchNorm: () => tu, + batchNorm2d: () => vk, + batchNorm3d: () => kk, + batchNorm4d: () => Nk, + batchToSpaceND: () => ld, + bincount: () => md, + bitwiseAnd: () => Tk, + booleanMaskAsync: () => qq, + broadcastArgs: () => _k, + broadcastTo: () => ru, + broadcast_util: () => Sr, + browser: () => MN, + buffer: () => me, + cast: () => Ye, + ceil: () => $k, + clipByValue: () => Ek, + clone: () => Vr, + complex: () => $r, + concat: () => yt, + concat1d: () => Rk, + concat2d: () => Dk, + concat3d: () => Ak, + concat4d: () => Fk, + conv1d: () => Pk, + conv2d: () => ou, + conv2dTranspose: () => Ok, + conv3d: () => Mk, + conv3dTranspose: () => Bk, + copyRegisteredKernels: () => sce, + cos: () => zk, + cosh: () => Vk, + cosineWindow: () => _l, + cumprod: () => Wk, + cumsum: () => Uk, + customGrad: () => Ir, + denseBincount: () => Gk, + deprecationWarn: () => bw, + depthToSpace: () => Hk, + depthwiseConv2d: () => ac, + deregisterOp: () => KX, + device_util: () => Zi, + diag: () => Kk, + dilation2d: () => qk, + disableDeprecationWarnings: () => gme, dispose: () => Ot, - disposeVariables: () => Nie, - div: () => He, - divNoNan: () => Av, - dot: () => Rv, - dropout: () => ZG, - einsum: () => Dv, - elu: () => Jm, - enableDebugMode: () => vie, - enableProdMode: () => Iie, - enclosingPowerOfTwo: () => CC, - engine: () => sr, - env: () => O, - equal: () => Zm, - erf: () => Fv, - euclideanNorm: () => Mv, - exp: () => So, - expandDims: () => Ra, - expm1: () => Lv, - eye: () => ed, - fft: () => zp, - fill: () => Us, - findBackend: () => Fie, - findBackendFactory: () => Oie, - floor: () => td, - floorDiv: () => Km, - forceHalfFloat: () => GE, - fused: () => SC, - gather: () => rd, - gatherND: () => YG, - gather_util: () => Wd, - getBackend: () => Rie, - getGradient: () => Eb, - getKernel: () => Kc, - getKernelsForBackend: () => Rm, - getThreadsCount: () => Kee, - gpgpu_util: () => $w, - grad: () => HU, - grads: () => KU, - greater: () => uu, - greaterEqual: () => od, - ifft: () => du, - imag: () => Ri, - image: () => eK, - inTopKAsync: () => eH, - io: () => La, - irfft: () => Td, - isFinite: () => Bv, - isInf: () => Vv, - isNaN: () => zv, - keep: () => _r, - kernel_impls: () => Vt, - leakyRelu: () => nd, - less: () => Wv, - lessEqual: () => Vp, - linalg: () => tK, - linspace: () => Uv, - loadGraphModel: () => A6, - loadGraphModelSync: () => R6, - localResponseNormalization: () => Gv, - log: () => Da, - log1p: () => sd, - logSigmoid: () => Hv, - logSoftmax: () => Kv, - logSumExp: () => ud, - logicalAnd: () => pu, - logicalNot: () => pd, - logicalOr: () => cd, - logicalXor: () => qv, - losses: () => rK, - lowerBound: () => jv, - matMul: () => Xe, - math: () => fN, - max: () => Gs, - maxPool: () => md, - maxPool3d: () => Xv, - maxPoolWithArgmax: () => Yv, - maximum: () => dd, - mean: () => cu, - memory: () => Tie, - meshgrid: () => Qv, - min: () => rl, - minimum: () => fd, - mirrorPad: () => Zv, - mod: () => Jv, - moments: () => ek, - movingAverage: () => UG, - mul: () => ne, - multiRNNCell: () => tk, - multinomial: () => rk, - neg: () => Cr, - nextFrame: () => AC, - norm: () => iu, - notEqual: () => hd, - oneHot: () => nl, - ones: () => Hs, - onesLike: () => ok, + disposeVariables: () => xme, + div: () => Ke, + divNoNan: () => Xk, + dot: () => Yk, + dropout: () => s6, + einsum: () => Qk, + elu: () => gd, + enableDebugMode: () => hme, + enableProdMode: () => fme, + enclosingPowerOfTwo: () => Pw, + engine: () => ur, + ensureShape: () => Zk, + env: () => P, + equal: () => hd, + erf: () => Jk, + euclideanNorm: () => r2, + exp: () => ko, + expandDims: () => oi, + expm1: () => o2, + eye: () => xd, + fft: () => pc, + fill: () => Sa, + findBackend: () => kme, + findBackendFactory: () => Nme, + floor: () => yd, + floorDiv: () => pd, + forceHalfFloat: () => hD, + fused: () => Ow, + gather: () => bd, + gatherND: () => o6, + gather_util: () => of, + getBackend: () => Ime, + getGradient: () => HC, + getKernel: () => fl, + getKernelsForBackend: () => Km, + getThreadsCount: () => ese, + gpgpu_util: () => qI, + grad: () => YH, + grads: () => QH, + greater: () => Bu, + greaterEqual: () => Cd, + ifft: () => Hu, + imag: () => su, + image: () => uj, + inTopKAsync: () => i6, + io: () => pi, + irfft: () => Wd, + isFinite: () => n2, + isInf: () => s2, + isNaN: () => a2, + keep: () => Er, + kernel_impls: () => Wt, + leakyRelu: () => wd, + less: () => kl, + lessEqual: () => ic, + linalg: () => pj, + linspace: () => i2, + loadGraphModel: () => W5, + loadGraphModelSync: () => U5, + localResponseNormalization: () => u2, + log: () => ni, + log1p: () => Sd, + logSigmoid: () => p2, + logSoftmax: () => c2, + logSumExp: () => kd, + logicalAnd: () => zu, + logicalNot: () => Nd, + logicalOr: () => Td, + logicalXor: () => l2, + losses: () => cj, + lowerBound: () => m2, + matMul: () => Qe, + math: () => PN, + max: () => Ia, + maxPool: () => $d, + maxPool3d: () => d2, + maxPoolWithArgmax: () => f2, + maximum: () => Ed, + mean: () => Vu, + memory: () => yme, + meshgrid: () => h2, + min: () => vl, + minimum: () => Wu, + mirrorPad: () => g2, + mod: () => x2, + moments: () => y2, + movingAverage: () => Yq, + mul: () => se, + multiRNNCell: () => b2, + multinomial: () => C2, + neg: () => pr, + nextFrame: () => Kw, + norm: () => Lu, + notEqual: () => Rd, + oneHot: () => Tl, + ones: () => va, + onesLike: () => w2, op: () => N, - outerProduct: () => nk, - pad: () => Ks, - pad1d: () => sk, - pad2d: () => ak, - pad3d: () => ik, - pad4d: () => uk, - pool: () => pk, - pow: () => Aa, - prelu: () => xd, - print: () => Hm, - prod: () => ck, - profile: () => _ie, - raggedGather: () => lk, - raggedRange: () => mk, - raggedTensorToTensor: () => dk, - rand: () => fk, - randomGamma: () => Ok, - randomNormal: () => Id, - randomStandardNormal: () => Pk, - randomUniform: () => vd, - range: () => Di, - ready: () => Aie, - real: () => Fa, - reciprocal: () => Mk, - registerBackend: () => Ti, - registerGradient: () => gse, - registerKernel: () => ka, - registerOp: () => Pq, - relu: () => Fi, - relu6: () => kd, - removeBackend: () => Die, + outerProduct: () => S2, + pad: () => ka, + pad1d: () => I2, + pad2d: () => v2, + pad3d: () => k2, + pad4d: () => N2, + pool: () => T2, + pow: () => ri, + prelu: () => Ad, + print: () => ud, + prod: () => _2, + profile: () => bme, + raggedGather: () => $2, + raggedRange: () => E2, + raggedTensorToTensor: () => R2, + rand: () => D2, + randomGamma: () => J2, + randomNormal: () => Bd, + randomStandardNormal: () => e1, + randomUniform: () => uc, + randomUniformInt: () => t1, + range: () => au, + ready: () => Sme, + real: () => si, + reciprocal: () => r1, + registerBackend: () => eu, + registerGradient: () => rce, + registerKernel: () => Ya, + registerOp: () => HX, + relu: () => iu, + relu6: () => zd, + removeBackend: () => vme, reshape: () => W, - reverse: () => no, - reverse1d: () => Lk, - reverse2d: () => Bk, - reverse3d: () => Vk, - reverse4d: () => zk, - rfft: () => Wp, - round: () => Nd, - rsqrt: () => Wk, - scalar: () => Ce, - scatterND: () => HG, - scatter_util: () => sl, - searchSorted: () => ol, - selu: () => Uk, - separableConv2d: () => Gk, - serialization: () => oN, - setBackend: () => Eie, - setPlatform: () => Mie, - setThreadsCount: () => Hee, - setWasmPath: () => Uee, - setWasmPaths: () => Gee, - setWebGLContext: () => US, - setdiff1dAsync: () => Hk, - shared: () => Zp, - sigmoid: () => Ws, - sign: () => Kk, - signal: () => JH, - sin: () => qk, - sinh: () => jk, - slice: () => Ke, - slice1d: () => Xk, - slice2d: () => Yk, - slice3d: () => Qk, - slice4d: () => Zk, - slice_util: () => ut, - softmax: () => Jk, - softplus: () => id, - spaceToBatchND: () => gd, - sparse: () => oK, - sparseToDense: () => jG, - spectral: () => ZH, - split: () => Oa, - sqrt: () => $r, - square: () => Qt, - squaredDifference: () => _d, - squeeze: () => Up, - stack: () => Sr, - step: () => $d, - stridedSlice: () => e1, - string: () => nK, - sub: () => ke, - sum: () => et, - sumOutType: () => Ta, - tan: () => t1, - tanh: () => tl, - tensor: () => nr, - tensor1d: () => dr, - tensor2d: () => Oi, - tensor3d: () => Ed, - tensor4d: () => r1, - tensor5d: () => o1, - tensor6d: () => n1, - tensor_util: () => C0, - test_util: () => Fk, - tidy: () => Ee, - tile: () => Ai, - time: () => $ie, - topk: () => s1, - train: () => YMe, - transpose: () => Gp, - truncatedNormal: () => a1, - unique: () => i1, - unregisterGradient: () => yse, - unregisterKernel: () => xse, - unsortedSegmentSum: () => u1, - unstack: () => so, + reverse: () => uo, + reverse1d: () => o1, + reverse2d: () => n1, + reverse3d: () => s1, + reverse4d: () => a1, + rfft: () => cc, + round: () => Vd, + rsqrt: () => i1, + scalar: () => ke, + scatterND: () => Zq, + scatter_util: () => pu, + searchSorted: () => Nl, + selu: () => u1, + separableConv2d: () => p1, + serialization: () => vN, + setBackend: () => wme, + setPlatform: () => _me, + setThreadsCount: () => Jne, + setWasmPath: () => Qne, + setWasmPaths: () => Zne, + setWebGLContext: () => iI, + setdiff1dAsync: () => c1, + shared: () => Sc, + sigmoid: () => wa, + sign: () => l1, + signal: () => ij, + sin: () => m1, + sinh: () => d1, + slice: () => qe, + slice1d: () => f1, + slice2d: () => h1, + slice3d: () => g1, + slice4d: () => x1, + slice_util: () => ct, + softmax: () => y1, + softplus: () => vd, + spaceToBatchND: () => Dd, + sparse: () => lj, + sparseToDense: () => t6, + spectral: () => aj, + split: () => ai, + sqrt: () => Rr, + square: () => Jt, + squaredDifference: () => Ud, + squeeze: () => lc, + stack: () => vr, + step: () => Gd, + stridedSlice: () => b1, + string: () => mj, + sub: () => Te, + sum: () => ot, + sumOutType: () => Za, + tan: () => C1, + tanh: () => Il, + tensor: () => ir, + tensor1d: () => xr, + tensor2d: () => uu, + tensor3d: () => Hd, + tensor4d: () => w1, + tensor5d: () => S1, + tensor6d: () => I1, + tensorScatterUpdate: () => k1, + tensor_util: () => M0, + test_util: () => Z2, + tidy: () => De, + tile: () => nu, + time: () => Cme, + topk: () => N1, + train: () => CUe, + transpose: () => dc, + truncatedNormal: () => T1, + unique: () => _1, + unregisterGradient: () => nce, + unregisterKernel: () => oce, + unsortedSegmentSum: () => $1, + unstack: () => po, upcastType: () => dt, - upperBound: () => p1, + upperBound: () => E1, util: () => y, - valueAndGrad: () => qU, - valueAndGrads: () => jU, - variable: () => c1, - variableGrads: () => pC, - version: () => tse, - version_converter: () => F6, - version_core: () => RK, - version_cpu: () => pj, - version_wasm: () => qee, - version_webgl: () => nY, - webgl: () => CJe, - webgl_util: () => nc, - webgpu_util: () => hI, - where: () => ss, - whereAsync: () => Rd, - zeros: () => Br, - zerosLike: () => Ut + valueAndGrad: () => ZH, + valueAndGrads: () => JH, + variable: () => R1, + variableGrads: () => vw, + version: () => zpe, + version_converter: () => H5, + version_core: () => Vj, + version_cpu: () => I8, + version_wasm: () => tse, + version_webgl: () => xZ, + webgl: () => cst, + webgl_util: () => _c, + webgpu_util: () => Fv, + where: () => io, + whereAsync: () => qd, + zeros: () => Wr, + zerosLike: () => Ht }); -var PV = Object.create; -var yb = Object.defineProperty; -var MV = Object.getOwnPropertyDescriptor; -var LV = Object.getOwnPropertyNames; -var BV = Object.getPrototypeOf; -var VV = Object.prototype.hasOwnProperty; -var Kt = (r, e) => () => (e || r((e = { exports: {} }).exports, e), e.exports); -var Ge = (r, e) => { +var BU = Object.create; +var PC = Object.defineProperty; +var zU = Object.getOwnPropertyDescriptor; +var VU = Object.getOwnPropertyNames; +var WU = Object.getPrototypeOf; +var UU = Object.prototype.hasOwnProperty; +var qt = (r, e) => () => (e || r((e = { exports: {} }).exports, e), e.exports); +var He = (r, e) => { for (var t10 in e) - yb(r, t10, { get: e[t10], enumerable: true }); + PC(r, t10, { get: e[t10], enumerable: true }); }; -var zV = (r, e, t10, o) => { +var GU = (r, e, t10, o) => { if (e && typeof e == "object" || typeof e == "function") - for (let n of LV(e)) - !VV.call(r, n) && n !== t10 && yb(r, n, { get: () => e[n], enumerable: !(o = MV(e, n)) || o.enumerable }); + for (let n of VU(e)) + !UU.call(r, n) && n !== t10 && PC(r, n, { get: () => e[n], enumerable: !(o = zU(e, n)) || o.enumerable }); return r; }; -var ap = (r, e, t10) => (t10 = r != null ? PV(BV(r)) : {}, zV(e || !r || !r.__esModule ? yb(t10, "default", { value: r, enumerable: true }) : t10, r)); -var i0 = Kt((Sse, a0) => { - a0.exports = It; - var yo = null; +var Bp = (r, e, t10) => (t10 = r != null ? BU(WU(r)) : {}, GU(e || !r || !r.__esModule ? PC(t10, "default", { value: r, enumerable: true }) : t10, r)); +var v0 = qt((uce, I0) => { + I0.exports = vt; + var So = null; try { - yo = new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0, 97, 115, 109, 1, 0, 0, 0, 1, 13, 2, 96, 0, 1, 127, 96, 4, 127, 127, 127, 127, 1, 127, 3, 7, 6, 0, 1, 1, 1, 1, 1, 6, 6, 1, 127, 1, 65, 0, 11, 7, 50, 6, 3, 109, 117, 108, 0, 1, 5, 100, 105, 118, 95, 115, 0, 2, 5, 100, 105, 118, 95, 117, 0, 3, 5, 114, 101, 109, 95, 115, 0, 4, 5, 114, 101, 109, 95, 117, 0, 5, 8, 103, 101, 116, 95, 104, 105, 103, 104, 0, 0, 10, 191, 1, 6, 4, 0, 35, 0, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 126, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 127, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 128, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 129, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 130, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11])), {}).exports; + So = new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0, 97, 115, 109, 1, 0, 0, 0, 1, 13, 2, 96, 0, 1, 127, 96, 4, 127, 127, 127, 127, 1, 127, 3, 7, 6, 0, 1, 1, 1, 1, 1, 6, 6, 1, 127, 1, 65, 0, 11, 7, 50, 6, 3, 109, 117, 108, 0, 1, 5, 100, 105, 118, 95, 115, 0, 2, 5, 100, 105, 118, 95, 117, 0, 3, 5, 114, 101, 109, 95, 115, 0, 4, 5, 114, 101, 109, 95, 117, 0, 5, 8, 103, 101, 116, 95, 104, 105, 103, 104, 0, 0, 10, 191, 1, 6, 4, 0, 35, 0, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 126, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 127, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 128, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 129, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 130, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11])), {}).exports; } catch (r) { } - function It(r, e, t10) { + function vt(r, e, t10) { this.low = r | 0, this.high = e | 0, this.unsigned = !!t10; } - It.prototype.__isLong__; - Object.defineProperty(It.prototype, "__isLong__", { value: true }); - function Mr(r) { + vt.prototype.__isLong__; + Object.defineProperty(vt.prototype, "__isLong__", { value: true }); + function zr(r) { return (r && r.__isLong__) === true; } - It.isLong = Mr; - var QI = {}, ZI = {}; - function eu(r, e) { + vt.isLong = zr; + var f0 = {}, h0 = {}; + function Ru(r, e) { var t10, o, n; - return e ? (r >>>= 0, (n = 0 <= r && r < 256) && (o = ZI[r], o) ? o : (t10 = vt(r, (r | 0) < 0 ? -1 : 0, true), n && (ZI[r] = t10), t10)) : (r |= 0, (n = -128 <= r && r < 128) && (o = QI[r], o) ? o : (t10 = vt(r, r < 0 ? -1 : 0, false), n && (QI[r] = t10), t10)); + return e ? (r >>>= 0, (n = 0 <= r && r < 256) && (o = h0[r], o) ? o : (t10 = kt(r, (r | 0) < 0 ? -1 : 0, true), n && (h0[r] = t10), t10)) : (r |= 0, (n = -128 <= r && r < 128) && (o = f0[r], o) ? o : (t10 = kt(r, r < 0 ? -1 : 0, false), n && (f0[r] = t10), t10)); } - It.fromInt = eu; - function bo(r, e) { + vt.fromInt = Ru; + function Io(r, e) { if (isNaN(r)) - return e ? Ji : Co; + return e ? Eu : vo; if (e) { if (r < 0) - return Ji; - if (r >= r0) - return s0; + return Eu; + if (r >= b0) + return S0; } else { - if (r <= -e0) - return Pr; - if (r + 1 >= e0) - return n0; + if (r <= -x0) + return Br; + if (r + 1 >= x0) + return w0; } - return r < 0 ? bo(-r, e).neg() : vt(r % Ep | 0, r / Ep | 0, e); + return r < 0 ? Io(-r, e).neg() : kt(r % Qp | 0, r / Qp | 0, e); } - It.fromNumber = bo; - function vt(r, e, t10) { - return new It(r, e, t10); + vt.fromNumber = Io; + function kt(r, e, t10) { + return new vt(r, e, t10); } - It.fromBits = vt; - var Dm = Math.pow; - function Db(r, e, t10) { + vt.fromBits = kt; + var jm = Math.pow; + function jC(r, e, t10) { if (r.length === 0) throw Error("empty string"); if (r === "NaN" || r === "Infinity" || r === "+Infinity" || r === "-Infinity") - return Co; + return vo; if (typeof e == "number" ? (t10 = e, e = false) : e = !!e, t10 = t10 || 10, t10 < 2 || 36 < t10) throw RangeError("radix"); var o; if ((o = r.indexOf("-")) > 0) throw Error("interior hyphen"); if (o === 0) - return Db(r.substring(1), e, t10).neg(); - for (var n = bo(Dm(t10, 8)), s = Co, a = 0; a < r.length; a += 8) { + return jC(r.substring(1), e, t10).neg(); + for (var n = Io(jm(t10, 8)), s = vo, a = 0; a < r.length; a += 8) { var i = Math.min(8, r.length - a), p = parseInt(r.substring(a, a + i), t10); if (i < 8) { - var u = bo(Dm(t10, i)); - s = s.mul(u).add(bo(p)); + var u = Io(jm(t10, i)); + s = s.mul(u).add(Io(p)); } else - s = s.mul(n), s = s.add(bo(p)); + s = s.mul(n), s = s.add(Io(p)); } return s.unsigned = e, s; } - It.fromString = Db; - function rs(r, e) { - return typeof r == "number" ? bo(r, e) : typeof r == "string" ? Db(r, e) : vt(r.low, r.high, typeof e == "boolean" ? e : r.unsigned); + vt.fromString = jC; + function $s(r, e) { + return typeof r == "number" ? Io(r, e) : typeof r == "string" ? jC(r, e) : kt(r.low, r.high, typeof e == "boolean" ? e : r.unsigned); } - It.fromValue = rs; - var JI = 1 << 16, cz = 1 << 24, Ep = JI * JI, r0 = Ep * Ep, e0 = r0 / 2, t0 = eu(cz), Co = eu(0); - It.ZERO = Co; - var Ji = eu(0, true); - It.UZERO = Ji; - var $p = eu(1); - It.ONE = $p; - var o0 = eu(1, true); - It.UONE = o0; - var Rb = eu(-1); - It.NEG_ONE = Rb; - var n0 = vt(-1, 2147483647, false); - It.MAX_VALUE = n0; - var s0 = vt(-1, -1, true); - It.MAX_UNSIGNED_VALUE = s0; - var Pr = vt(0, -2147483648, false); - It.MIN_VALUE = Pr; - var de = It.prototype; + vt.fromValue = $s; + var g0 = 1 << 16, dG = 1 << 24, Qp = g0 * g0, b0 = Qp * Qp, x0 = b0 / 2, y0 = Ru(dG), vo = Ru(0); + vt.ZERO = vo; + var Eu = Ru(0, true); + vt.UZERO = Eu; + var Yp = Ru(1); + vt.ONE = Yp; + var C0 = Ru(1, true); + vt.UONE = C0; + var qC = Ru(-1); + vt.NEG_ONE = qC; + var w0 = kt(-1, 2147483647, false); + vt.MAX_VALUE = w0; + var S0 = kt(-1, -1, true); + vt.MAX_UNSIGNED_VALUE = S0; + var Br = kt(0, -2147483648, false); + vt.MIN_VALUE = Br; + var de = vt.prototype; de.toInt = function() { return this.unsigned ? this.low >>> 0 : this.low; }; de.toNumber = function() { - return this.unsigned ? (this.high >>> 0) * Ep + (this.low >>> 0) : this.high * Ep + (this.low >>> 0); + return this.unsigned ? (this.high >>> 0) * Qp + (this.low >>> 0) : this.high * Qp + (this.low >>> 0); }; de.toString = function(e) { if (e = e || 10, e < 2 || 36 < e) @@ -642,12 +650,12 @@ var i0 = Kt((Sse, a0) => { if (this.isZero()) return "0"; if (this.isNegative()) - if (this.eq(Pr)) { - var t10 = bo(e), o = this.div(t10), n = o.mul(t10).sub(this); + if (this.eq(Br)) { + var t10 = Io(e), o = this.div(t10), n = o.mul(t10).sub(this); return o.toString(e) + n.toInt().toString(e); } else return "-" + this.neg().toString(e); - for (var s = bo(Dm(e, 6), this.unsigned), a = this, i = ""; ; ) { + for (var s = Io(jm(e, 6), this.unsigned), a = this, i = ""; ; ) { var p = a.div(s), u = a.sub(p.mul(s)).toInt() >>> 0, c = u.toString(e); if (a = p, a.isZero()) return c + i; @@ -670,7 +678,7 @@ var i0 = Kt((Sse, a0) => { }; de.getNumBitsAbs = function() { if (this.isNegative()) - return this.eq(Pr) ? 64 : this.neg().getNumBitsAbs(); + return this.eq(Br) ? 64 : this.neg().getNumBitsAbs(); for (var e = this.high != 0 ? this.high : this.low, t10 = 31; t10 > 0 && !(e & 1 << t10); t10--) ; return this.high != 0 ? t10 + 33 : t10 + 1; @@ -692,7 +700,7 @@ var i0 = Kt((Sse, a0) => { return (this.low & 1) === 0; }; de.equals = function(e) { - return Mr(e) || (e = rs(e)), this.unsigned !== e.unsigned && this.high >>> 31 === 1 && e.high >>> 31 === 1 ? false : this.high === e.high && this.low === e.low; + return zr(e) || (e = $s(e)), this.unsigned !== e.unsigned && this.high >>> 31 === 1 && e.high >>> 31 === 1 ? false : this.high === e.high && this.low === e.low; }; de.eq = de.equals; de.notEquals = function(e) { @@ -719,137 +727,137 @@ var i0 = Kt((Sse, a0) => { de.gte = de.greaterThanOrEqual; de.ge = de.greaterThanOrEqual; de.compare = function(e) { - if (Mr(e) || (e = rs(e)), this.eq(e)) + if (zr(e) || (e = $s(e)), this.eq(e)) return 0; var t10 = this.isNegative(), o = e.isNegative(); return t10 && !o ? -1 : !t10 && o ? 1 : this.unsigned ? e.high >>> 0 > this.high >>> 0 || e.high === this.high && e.low >>> 0 > this.low >>> 0 ? -1 : 1 : this.sub(e).isNegative() ? -1 : 1; }; de.comp = de.compare; de.negate = function() { - return !this.unsigned && this.eq(Pr) ? Pr : this.not().add($p); + return !this.unsigned && this.eq(Br) ? Br : this.not().add(Yp); }; de.neg = de.negate; de.add = function(e) { - Mr(e) || (e = rs(e)); + zr(e) || (e = $s(e)); var t10 = this.high >>> 16, o = this.high & 65535, n = this.low >>> 16, s = this.low & 65535, a = e.high >>> 16, i = e.high & 65535, p = e.low >>> 16, u = e.low & 65535, c = 0, l = 0, m = 0, d = 0; - return d += s + u, m += d >>> 16, d &= 65535, m += n + p, l += m >>> 16, m &= 65535, l += o + i, c += l >>> 16, l &= 65535, c += t10 + a, c &= 65535, vt(m << 16 | d, c << 16 | l, this.unsigned); + return d += s + u, m += d >>> 16, d &= 65535, m += n + p, l += m >>> 16, m &= 65535, l += o + i, c += l >>> 16, l &= 65535, c += t10 + a, c &= 65535, kt(m << 16 | d, c << 16 | l, this.unsigned); }; de.subtract = function(e) { - return Mr(e) || (e = rs(e)), this.add(e.neg()); + return zr(e) || (e = $s(e)), this.add(e.neg()); }; de.sub = de.subtract; de.multiply = function(e) { if (this.isZero()) - return Co; - if (Mr(e) || (e = rs(e)), yo) { - var t10 = yo.mul(this.low, this.high, e.low, e.high); - return vt(t10, yo.get_high(), this.unsigned); + return vo; + if (zr(e) || (e = $s(e)), So) { + var t10 = So.mul(this.low, this.high, e.low, e.high); + return kt(t10, So.get_high(), this.unsigned); } if (e.isZero()) - return Co; - if (this.eq(Pr)) - return e.isOdd() ? Pr : Co; - if (e.eq(Pr)) - return this.isOdd() ? Pr : Co; + return vo; + if (this.eq(Br)) + return e.isOdd() ? Br : vo; + if (e.eq(Br)) + return this.isOdd() ? Br : vo; if (this.isNegative()) return e.isNegative() ? this.neg().mul(e.neg()) : this.neg().mul(e).neg(); if (e.isNegative()) return this.mul(e.neg()).neg(); - if (this.lt(t0) && e.lt(t0)) - return bo(this.toNumber() * e.toNumber(), this.unsigned); + if (this.lt(y0) && e.lt(y0)) + return Io(this.toNumber() * e.toNumber(), this.unsigned); var o = this.high >>> 16, n = this.high & 65535, s = this.low >>> 16, a = this.low & 65535, i = e.high >>> 16, p = e.high & 65535, u = e.low >>> 16, c = e.low & 65535, l = 0, m = 0, d = 0, f = 0; - return f += a * c, d += f >>> 16, f &= 65535, d += s * c, m += d >>> 16, d &= 65535, d += a * u, m += d >>> 16, d &= 65535, m += n * c, l += m >>> 16, m &= 65535, m += s * u, l += m >>> 16, m &= 65535, m += a * p, l += m >>> 16, m &= 65535, l += o * c + n * u + s * p + a * i, l &= 65535, vt(d << 16 | f, l << 16 | m, this.unsigned); + return f += a * c, d += f >>> 16, f &= 65535, d += s * c, m += d >>> 16, d &= 65535, d += a * u, m += d >>> 16, d &= 65535, m += n * c, l += m >>> 16, m &= 65535, m += s * u, l += m >>> 16, m &= 65535, m += a * p, l += m >>> 16, m &= 65535, l += o * c + n * u + s * p + a * i, l &= 65535, kt(d << 16 | f, l << 16 | m, this.unsigned); }; de.mul = de.multiply; de.divide = function(e) { - if (Mr(e) || (e = rs(e)), e.isZero()) + if (zr(e) || (e = $s(e)), e.isZero()) throw Error("division by zero"); - if (yo) { + if (So) { if (!this.unsigned && this.high === -2147483648 && e.low === -1 && e.high === -1) return this; - var t10 = (this.unsigned ? yo.div_u : yo.div_s)(this.low, this.high, e.low, e.high); - return vt(t10, yo.get_high(), this.unsigned); + var t10 = (this.unsigned ? So.div_u : So.div_s)(this.low, this.high, e.low, e.high); + return kt(t10, So.get_high(), this.unsigned); } if (this.isZero()) - return this.unsigned ? Ji : Co; + return this.unsigned ? Eu : vo; var o, n, s; if (this.unsigned) { if (e.unsigned || (e = e.toUnsigned()), e.gt(this)) - return Ji; + return Eu; if (e.gt(this.shru(1))) - return o0; - s = Ji; + return C0; + s = Eu; } else { - if (this.eq(Pr)) { - if (e.eq($p) || e.eq(Rb)) - return Pr; - if (e.eq(Pr)) - return $p; + if (this.eq(Br)) { + if (e.eq(Yp) || e.eq(qC)) + return Br; + if (e.eq(Br)) + return Yp; var a = this.shr(1); - return o = a.div(e).shl(1), o.eq(Co) ? e.isNegative() ? $p : Rb : (n = this.sub(e.mul(o)), s = o.add(n.div(e)), s); - } else if (e.eq(Pr)) - return this.unsigned ? Ji : Co; + return o = a.div(e).shl(1), o.eq(vo) ? e.isNegative() ? Yp : qC : (n = this.sub(e.mul(o)), s = o.add(n.div(e)), s); + } else if (e.eq(Br)) + return this.unsigned ? Eu : vo; if (this.isNegative()) return e.isNegative() ? this.neg().div(e.neg()) : this.neg().div(e).neg(); if (e.isNegative()) return this.div(e.neg()).neg(); - s = Co; + s = vo; } for (n = this; n.gte(e); ) { o = Math.max(1, Math.floor(n.toNumber() / e.toNumber())); - for (var i = Math.ceil(Math.log(o) / Math.LN2), p = i <= 48 ? 1 : Dm(2, i - 48), u = bo(o), c = u.mul(e); c.isNegative() || c.gt(n); ) - o -= p, u = bo(o, this.unsigned), c = u.mul(e); - u.isZero() && (u = $p), s = s.add(u), n = n.sub(c); + for (var i = Math.ceil(Math.log(o) / Math.LN2), p = i <= 48 ? 1 : jm(2, i - 48), u = Io(o), c = u.mul(e); c.isNegative() || c.gt(n); ) + o -= p, u = Io(o, this.unsigned), c = u.mul(e); + u.isZero() && (u = Yp), s = s.add(u), n = n.sub(c); } return s; }; de.div = de.divide; de.modulo = function(e) { - if (Mr(e) || (e = rs(e)), yo) { - var t10 = (this.unsigned ? yo.rem_u : yo.rem_s)(this.low, this.high, e.low, e.high); - return vt(t10, yo.get_high(), this.unsigned); + if (zr(e) || (e = $s(e)), So) { + var t10 = (this.unsigned ? So.rem_u : So.rem_s)(this.low, this.high, e.low, e.high); + return kt(t10, So.get_high(), this.unsigned); } return this.sub(this.div(e).mul(e)); }; de.mod = de.modulo; de.rem = de.modulo; de.not = function() { - return vt(~this.low, ~this.high, this.unsigned); + return kt(~this.low, ~this.high, this.unsigned); }; de.and = function(e) { - return Mr(e) || (e = rs(e)), vt(this.low & e.low, this.high & e.high, this.unsigned); + return zr(e) || (e = $s(e)), kt(this.low & e.low, this.high & e.high, this.unsigned); }; de.or = function(e) { - return Mr(e) || (e = rs(e)), vt(this.low | e.low, this.high | e.high, this.unsigned); + return zr(e) || (e = $s(e)), kt(this.low | e.low, this.high | e.high, this.unsigned); }; de.xor = function(e) { - return Mr(e) || (e = rs(e)), vt(this.low ^ e.low, this.high ^ e.high, this.unsigned); + return zr(e) || (e = $s(e)), kt(this.low ^ e.low, this.high ^ e.high, this.unsigned); }; de.shiftLeft = function(e) { - return Mr(e) && (e = e.toInt()), (e &= 63) === 0 ? this : e < 32 ? vt(this.low << e, this.high << e | this.low >>> 32 - e, this.unsigned) : vt(0, this.low << e - 32, this.unsigned); + return zr(e) && (e = e.toInt()), (e &= 63) === 0 ? this : e < 32 ? kt(this.low << e, this.high << e | this.low >>> 32 - e, this.unsigned) : kt(0, this.low << e - 32, this.unsigned); }; de.shl = de.shiftLeft; de.shiftRight = function(e) { - return Mr(e) && (e = e.toInt()), (e &= 63) === 0 ? this : e < 32 ? vt(this.low >>> e | this.high << 32 - e, this.high >> e, this.unsigned) : vt(this.high >> e - 32, this.high >= 0 ? 0 : -1, this.unsigned); + return zr(e) && (e = e.toInt()), (e &= 63) === 0 ? this : e < 32 ? kt(this.low >>> e | this.high << 32 - e, this.high >> e, this.unsigned) : kt(this.high >> e - 32, this.high >= 0 ? 0 : -1, this.unsigned); }; de.shr = de.shiftRight; de.shiftRightUnsigned = function(e) { - if (Mr(e) && (e = e.toInt()), e &= 63, e === 0) + if (zr(e) && (e = e.toInt()), e &= 63, e === 0) return this; var t10 = this.high; if (e < 32) { var o = this.low; - return vt(o >>> e | t10 << 32 - e, t10 >>> e, this.unsigned); + return kt(o >>> e | t10 << 32 - e, t10 >>> e, this.unsigned); } else - return e === 32 ? vt(t10, 0, this.unsigned) : vt(t10 >>> e - 32, 0, this.unsigned); + return e === 32 ? kt(t10, 0, this.unsigned) : kt(t10 >>> e - 32, 0, this.unsigned); }; de.shru = de.shiftRightUnsigned; de.shr_u = de.shiftRightUnsigned; de.toSigned = function() { - return this.unsigned ? vt(this.low, this.high, false) : this; + return this.unsigned ? kt(this.low, this.high, false) : this; }; de.toUnsigned = function() { - return this.unsigned ? this : vt(this.low, this.high, true); + return this.unsigned ? this : kt(this.low, this.high, true); }; de.toBytes = function(e) { return e ? this.toBytesLE() : this.toBytesBE(); @@ -862,21 +870,21 @@ var i0 = Kt((Sse, a0) => { var e = this.high, t10 = this.low; return [e >>> 24, e >>> 16 & 255, e >>> 8 & 255, e & 255, t10 >>> 24, t10 >>> 16 & 255, t10 >>> 8 & 255, t10 & 255]; }; - It.fromBytes = function(e, t10, o) { - return o ? It.fromBytesLE(e, t10) : It.fromBytesBE(e, t10); + vt.fromBytes = function(e, t10, o) { + return o ? vt.fromBytesLE(e, t10) : vt.fromBytesBE(e, t10); }; - It.fromBytesLE = function(e, t10) { - return new It(e[0] | e[1] << 8 | e[2] << 16 | e[3] << 24, e[4] | e[5] << 8 | e[6] << 16 | e[7] << 24, t10); + vt.fromBytesLE = function(e, t10) { + return new vt(e[0] | e[1] << 8 | e[2] << 16 | e[3] << 24, e[4] | e[5] << 8 | e[6] << 16 | e[7] << 24, t10); }; - It.fromBytesBE = function(e, t10) { - return new It(e[4] << 24 | e[5] << 16 | e[6] << 8 | e[7], e[0] << 24 | e[1] << 16 | e[2] << 8 | e[3], t10); + vt.fromBytesBE = function(e, t10) { + return new vt(e[4] << 24 | e[5] << 16 | e[6] << 8 | e[7], e[0] << 24 | e[1] << 16 | e[2] << 8 | e[3], t10); }; }); -var W0 = Kt(() => { +var sk = qt(() => { }); -var U0 = Kt(() => { +var ak = qt(() => { }); -var gk = Kt((hk, cC) => { +var F2 = qt((A2, kw) => { (function(r, e, t10) { function o(i) { var p = this, u = a(); @@ -913,9 +921,9 @@ var gk = Kt((hk, cC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.alea = s; - })(hk, typeof cC == "object" && cC, typeof define == "function" && define); + })(A2, typeof kw == "object" && kw, typeof define == "function" && define); }); -var yk = Kt((xk, lC) => { +var O2 = qt((P2, Nw) => { (function(r, e, t10) { function o(a) { var i = this, p = ""; @@ -945,9 +953,9 @@ var yk = Kt((xk, lC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.xor128 = s; - })(xk, typeof lC == "object" && lC, typeof define == "function" && define); + })(P2, typeof Nw == "object" && Nw, typeof define == "function" && define); }); -var Ck = Kt((bk, mC) => { +var L2 = qt((M2, Tw) => { (function(r, e, t10) { function o(a) { var i = this, p = ""; @@ -977,9 +985,9 @@ var Ck = Kt((bk, mC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.xorwow = s; - })(bk, typeof mC == "object" && mC, typeof define == "function" && define); + })(M2, typeof Tw == "object" && Tw, typeof define == "function" && define); }); -var wk = Kt((Sk, dC) => { +var z2 = qt((B2, _w) => { (function(r, e, t10) { function o(a) { var i = this; @@ -1023,9 +1031,9 @@ var wk = Kt((Sk, dC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.xorshift7 = s; - })(Sk, typeof dC == "object" && dC, typeof define == "function" && define); + })(B2, typeof _w == "object" && _w, typeof define == "function" && define); }); -var vk = Kt((Ik, fC) => { +var W2 = qt((V2, $w) => { (function(r, e, t10) { function o(a) { var i = this; @@ -1063,9 +1071,9 @@ var vk = Kt((Ik, fC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.xor4096 = s; - })(Ik, typeof fC == "object" && fC, typeof define == "function" && define); + })(V2, typeof $w == "object" && $w, typeof define == "function" && define); }); -var Nk = Kt((kk, hC) => { +var G2 = qt((U2, Ew) => { (function(r, e, t10) { function o(a) { var i = this, p = ""; @@ -1095,1655 +1103,1809 @@ var Nk = Kt((kk, hC) => { e && e.exports ? e.exports = s : t10 && t10.amd ? t10(function() { return s; }) : this.tychei = s; - })(kk, typeof hC == "object" && hC, typeof define == "function" && define); + })(U2, typeof Ew == "object" && Ew, typeof define == "function" && define); }); -var Tk = Kt(() => { +var H2 = qt(() => { }); -var $k = Kt((_k, yd) => { +var q2 = qt((K2, Fd) => { (function(r, e, t10) { var o = 256, n = 6, s = 52, a = "random", i = t10.pow(o, n), p = t10.pow(2, s), u = p * 2, c = o - 1, l; - function m(C, w, k) { + function m(w, S, k) { var _ = []; - w = w == true ? { entropy: true } : w || {}; - var E = g(h(w.entropy ? [C, b(e)] : C == null ? x() : C, 3), _), A = new d(_), R = function() { - for (var D = A.g(n), P = i, M = 0; D < p; ) - D = (D + M) * o, P *= o, M = A.g(1); - for (; D >= u; ) - D /= 2, P /= 2, M >>>= 1; - return (D + M) / P; + S = S == true ? { entropy: true } : S || {}; + var E = g(h(S.entropy ? [w, b(e)] : w == null ? x() : w, 3), _), R = new d(_), D = function() { + for (var F = R.g(n), O = i, M = 0; F < p; ) + F = (F + M) * o, O *= o, M = R.g(1); + for (; F >= u; ) + F /= 2, O /= 2, M >>>= 1; + return (F + M) / O; }; - return R.int32 = function() { - return A.g(4) | 0; - }, R.quick = function() { - return A.g(4) / 4294967296; - }, R.double = R, g(b(A.S), e), (w.pass || k || function(D, P, M, L) { - return L && (L.S && f(L, A), D.state = function() { - return f(A, {}); - }), M ? (t10[a] = D, P) : D; - })(R, E, "global" in w ? w.global : this == t10, w.state); + return D.int32 = function() { + return R.g(4) | 0; + }, D.quick = function() { + return R.g(4) / 4294967296; + }, D.double = D, g(b(R.S), e), (S.pass || k || function(F, O, M, L) { + return L && (L.S && f(L, R), F.state = function() { + return f(R, {}); + }), M ? (t10[a] = F, O) : F; + })(D, E, "global" in S ? S.global : this == t10, S.state); } - function d(C) { - var w, k = C.length, _ = this, E = 0, A = _.i = _.j = 0, R = _.S = []; - for (k || (C = [k++]); E < o; ) - R[E] = E++; + function d(w) { + var S, k = w.length, _ = this, E = 0, R = _.i = _.j = 0, D = _.S = []; + for (k || (w = [k++]); E < o; ) + D[E] = E++; for (E = 0; E < o; E++) - R[E] = R[A = c & A + C[E % k] + (w = R[E])], R[A] = w; - (_.g = function(D) { - for (var P, M = 0, L = _.i, V = _.j, z = _.S; D--; ) - P = z[L = c & L + 1], M = M * o + z[c & (z[L] = z[V = c & V + P]) + (z[V] = P)]; - return _.i = L, _.j = V, M; + D[E] = D[R = c & R + w[E % k] + (S = D[E])], D[R] = S; + (_.g = function(F) { + for (var O, M = 0, L = _.i, B = _.j, z = _.S; F--; ) + O = z[L = c & L + 1], M = M * o + z[c & (z[L] = z[B = c & B + O]) + (z[B] = O)]; + return _.i = L, _.j = B, M; })(o); } - function f(C, w) { - return w.i = C.i, w.j = C.j, w.S = C.S.slice(), w; + function f(w, S) { + return S.i = w.i, S.j = w.j, S.S = w.S.slice(), S; } - function h(C, w) { - var k = [], _ = typeof C, E; - if (w && _ == "object") - for (E in C) + function h(w, S) { + var k = [], _ = typeof w, E; + if (S && _ == "object") + for (E in w) try { - k.push(h(C[E], w - 1)); - } catch (A) { + k.push(h(w[E], S - 1)); + } catch (R) { } - return k.length ? k : _ == "string" ? C : C + "\0"; + return k.length ? k : _ == "string" ? w : w + "\0"; } - function g(C, w) { - for (var k = C + "", _, E = 0; E < k.length; ) - w[c & E] = c & (_ ^= w[c & E] * 19) + k.charCodeAt(E++); - return b(w); + function g(w, S) { + for (var k = w + "", _, E = 0; E < k.length; ) + S[c & E] = c & (_ ^= S[c & E] * 19) + k.charCodeAt(E++); + return b(S); } function x() { try { - var C; - return l && (C = l.randomBytes) ? C = C(o) : (C = new Uint8Array(o), (r.crypto || r.msCrypto).getRandomValues(C)), b(C); + var w; + return l && (w = l.randomBytes) ? w = w(o) : (w = new Uint8Array(o), (r.crypto || r.msCrypto).getRandomValues(w)), b(w); } catch (_) { - var w = r.navigator, k = w && w.plugins; + var S = r.navigator, k = S && S.plugins; return [+/* @__PURE__ */ new Date(), r, k, r.screen, b(e)]; } } - function b(C) { - return String.fromCharCode.apply(0, C); + function b(w) { + return String.fromCharCode.apply(0, w); } - if (g(t10.random(), e), typeof yd == "object" && yd.exports) { - yd.exports = m; + if (g(t10.random(), e), typeof Fd == "object" && Fd.exports) { + Fd.exports = m; try { - l = Tk(); - } catch (C) { + l = H2(); + } catch (w) { } } else typeof define == "function" && define.amd ? define(function() { return m; }) : t10["seed" + a] = m; - })(typeof self != "undefined" ? self : _k, [], Math); + })(typeof self != "undefined" ? self : K2, [], Math); }); -var gC = Kt((QSe, Ek) => { - var P4 = gk(), M4 = yk(), L4 = Ck(), B4 = wk(), V4 = vk(), z4 = Nk(), lu = $k(); - lu.alea = P4; - lu.xor128 = M4; - lu.xorwow = L4; - lu.xorshift7 = B4; - lu.xor4096 = V4; - lu.tychei = z4; - Ek.exports = lu; +var Rw = qt((Jke, j2) => { + var VK = F2(), WK = O2(), UK = L2(), GK = z2(), HK = W2(), KK = G2(), Uu = q2(); + Uu.alea = VK; + Uu.xor128 = WK; + Uu.xorwow = UK; + Uu.xorshift7 = GK; + Uu.xor4096 = HK; + Uu.tychei = KK; + j2.exports = Uu; }); -var oI = Kt(() => { +var Sv = qt(() => { }); -var nI = Kt(() => { +var Iv = qt(() => { }); -var x3 = Kt(() => { +var ZL = qt(() => { }); -var y3 = Kt(() => { +var JL = qt(() => { }); -var b3 = Kt(() => { +var eB = qt(() => { }); -var C3 = Kt((wg, aI) => { - var sI = (() => { +var tB = qt((Bg, kv) => { + var vv = (() => { var r = typeof document != "undefined" && document.currentScript ? document.currentScript.src : void 0; return typeof __filename != "undefined" && (r = r || __filename), function(e) { e = e || {}; function t10() { - return te.buffer != ze && Nt(te.buffer), ct; + return oe.buffer != We && Tt(oe.buffer), mt; } function o() { - return te.buffer != ze && Nt(te.buffer), at; + return oe.buffer != We && Tt(oe.buffer), it; } function n() { - return te.buffer != ze && Nt(te.buffer), ft; + return oe.buffer != We && Tt(oe.buffer), ht; } function s() { - return te.buffer != ze && Nt(te.buffer), Rr; + return oe.buffer != We && Tt(oe.buffer), Or; } function a() { - return te.buffer != ze && Nt(te.buffer), Pt; + return oe.buffer != We && Tt(oe.buffer), Mt; } function i() { - return te.buffer != ze && Nt(te.buffer), qr; + return oe.buffer != We && Tt(oe.buffer), Qr; } function p() { - return te.buffer != ze && Nt(te.buffer), er; + return oe.buffer != We && Tt(oe.buffer), or; } var u = typeof e != "undefined" ? e : {}, c, l; - u.ready = new Promise(function(F, B) { - c = F, l = B; + u.ready = new Promise(function(A, V) { + c = A, l = V; }); var m; typeof process != "undefined" && process.listeners && (m = { uncaughtException: process.listeners("uncaughtException"), unhandledRejection: process.listeners("unhandledRejection") }); - var d = Object.assign({}, u), f = [], h = "./this.program", g = (F, B) => { - throw B; - }, x = typeof window == "object", b = typeof importScripts == "function", C = typeof process == "object" && typeof process.versions == "object" && typeof process.versions.node == "string", w = u.ENVIRONMENT_IS_PTHREAD || false, k = ""; - function _(F) { - return u.locateFile ? u.locateFile(F, k) : k + F; + var d = Object.assign({}, u), f = [], h = "./this.program", g = (A, V) => { + throw V; + }, x = typeof window == "object", b = typeof importScripts == "function", w = typeof process == "object" && typeof process.versions == "object" && typeof process.versions.node == "string", S = u.ENVIRONMENT_IS_PTHREAD || false, k = ""; + function _(A) { + return u.locateFile ? u.locateFile(A, k) : k + A; } - var E, A, R, D; - function P(F) { - if (F instanceof qi) + var E, R, D, F; + function O(A) { + if (A instanceof Iu) return; - K("exiting due to exception: " + F); + j("exiting due to exception: " + A); } - if (C) { - var M = oI(), L = nI(); - b ? k = L.dirname(k) + "/" : k = __dirname + "/", E = (B, ue) => (B = ep(B) ? new URL(B) : L.normalize(B), M.readFileSync(B, ue ? void 0 : "utf8")), R = (B) => { - var ue = E(B, true); + if (w) { + var M = Sv(), L = Iv(); + b ? k = L.dirname(k) + "/" : k = __dirname + "/", E = (V, ue) => (V = Ap(V) ? new URL(V) : L.normalize(V), M.readFileSync(V, ue ? void 0 : "utf8")), D = (V) => { + var ue = E(V, true); return ue.buffer || (ue = new Uint8Array(ue)), ue; - }, A = (B, ue, _e) => { - B = ep(B) ? new URL(B) : L.normalize(B), M.readFile(B, function(Me, Pe) { - Me ? _e(Me) : ue(Pe.buffer); + }, R = (V, ue, Ee) => { + V = Ap(V) ? new URL(V) : L.normalize(V), M.readFile(V, function(Be, Le) { + Be ? Ee(Be) : ue(Le.buffer); }); - }, process.argv.length > 1 && (h = process.argv[1].replace(/\\/g, "/")), f = process.argv.slice(2), process.on("uncaughtException", function(B) { - if (!(B instanceof qi)) - throw B; - }), process.on("unhandledRejection", function(B) { - throw B; - }), g = (B, ue) => { - if (Do()) - throw process.exitCode = B, ue; - P(ue), process.exit(B); + }, process.argv.length > 1 && (h = process.argv[1].replace(/\\/g, "/")), f = process.argv.slice(2), process.on("uncaughtException", function(V) { + if (!(V instanceof Iu)) + throw V; + }), process.on("unhandledRejection", function(V) { + throw V; + }), g = (V, ue) => { + if (Mo()) + throw process.exitCode = V, ue; + O(ue), process.exit(V); }, u.inspect = function() { return "[Emscripten Module object]"; }; - let F; + let A; try { - F = x3(); - } catch (B) { - throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'), B; + A = ZL(); + } catch (V) { + throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'), V; } - global.Worker = F.Worker; + global.Worker = A.Worker; } else - (x || b) && (b ? k = self.location.href : typeof document != "undefined" && document.currentScript && (k = document.currentScript.src), typeof r != "undefined" && r && (k = r), k.indexOf("blob:") !== 0 ? k = k.substr(0, k.replace(/[?#].*/, "").lastIndexOf("/") + 1) : k = "", C || (E = (F) => { - var B = new XMLHttpRequest(); - return B.open("GET", F, false), B.send(null), B.responseText; - }, b && (R = (F) => { - var B = new XMLHttpRequest(); - return B.open("GET", F, false), B.responseType = "arraybuffer", B.send(null), new Uint8Array(B.response); - }), A = (F, B, ue) => { - var _e = new XMLHttpRequest(); - _e.open("GET", F, true), _e.responseType = "arraybuffer", _e.onload = () => { - if (_e.status == 200 || _e.status == 0 && _e.response) { - B(_e.response); + (x || b) && (b ? k = self.location.href : typeof document != "undefined" && document.currentScript && (k = document.currentScript.src), typeof r != "undefined" && r && (k = r), k.indexOf("blob:") !== 0 ? k = k.substr(0, k.replace(/[?#].*/, "").lastIndexOf("/") + 1) : k = "", w || (E = (A) => { + var V = new XMLHttpRequest(); + return V.open("GET", A, false), V.send(null), V.responseText; + }, b && (D = (A) => { + var V = new XMLHttpRequest(); + return V.open("GET", A, false), V.responseType = "arraybuffer", V.send(null), new Uint8Array(V.response); + }), R = (A, V, ue) => { + var Ee = new XMLHttpRequest(); + Ee.open("GET", A, true), Ee.responseType = "arraybuffer", Ee.onload = () => { + if (Ee.status == 200 || Ee.status == 0 && Ee.response) { + V(Ee.response); return; } ue(); - }, _e.onerror = ue, _e.send(null); - }), D = (F) => document.title = F); - C && typeof performance == "undefined" && (global.performance = y3().performance); - var V = console.log.bind(console), z = console.warn.bind(console); - C && (V = (F) => M.writeSync(1, F + ` -`), z = (F) => M.writeSync(2, F + ` + }, Ee.onerror = ue, Ee.send(null); + }), F = (A) => document.title = A); + w && typeof performance == "undefined" && (global.performance = JL().performance); + var B = console.log.bind(console), z = console.warn.bind(console); + w && (B = (A) => M.writeSync(1, A + ` +`), z = (A) => M.writeSync(2, A + ` `)); - var U = u.print || V, K = u.printErr || z; + var U = u.print || B, j = u.printErr || z; Object.assign(u, d), d = null, u.arguments && (f = u.arguments), u.thisProgram && (h = u.thisProgram), u.quit && (g = u.quit); - var H = 4, q = Atomics.load, Z = Atomics.store, ee = Atomics.compareExchange, oe; - u.wasmBinary && (oe = u.wasmBinary); - var J = u.noExitRuntime || true; - typeof WebAssembly != "object" && Ki("no native wasm support detected"); - var te, ie, ce = false, ye; - function Ne(F, B) { - F || Ki(B); + var H = 4, X = Atomics.load, J = Atomics.store, re = Atomics.compareExchange, ne; + u.wasmBinary && (ne = u.wasmBinary); + var ee = u.noExitRuntime || true; + typeof WebAssembly != "object" && Su("no native wasm support detected"); + var oe, ie, le = false, ye; + function _e(A, V) { + A || Su(V); } - var Ie = typeof TextDecoder != "undefined" ? new TextDecoder("utf8") : void 0; - function Ae(F, B, ue) { - for (var _e = B + ue, Me = B; F[Me] && !(Me >= _e); ) - ++Me; - if (Me - B > 16 && F.buffer && Ie) - return Ie.decode(F.buffer instanceof SharedArrayBuffer ? F.slice(B, Me) : F.subarray(B, Me)); - for (var Pe = ""; B < Me; ) { - var fe = F[B++]; - if (!(fe & 128)) { - Pe += String.fromCharCode(fe); + var ve = typeof TextDecoder != "undefined" ? new TextDecoder("utf8") : void 0; + function Fe(A, V, ue) { + V >>>= 0; + for (var Ee = V + ue, Be = V; A[Be] && !(Be >= Ee); ) + ++Be; + if (Be - V > 16 && A.buffer && ve) + return ve.decode(A.buffer instanceof SharedArrayBuffer ? A.slice(V, Be) : A.subarray(V, Be)); + for (var Le = ""; V < Be; ) { + var he = A[V++]; + if (!(he & 128)) { + Le += String.fromCharCode(he); continue; } - var ve = F[B++] & 63; - if ((fe & 224) == 192) { - Pe += String.fromCharCode((fe & 31) << 6 | ve); + var Ne = A[V++] & 63; + if ((he & 224) == 192) { + Le += String.fromCharCode((he & 31) << 6 | Ne); continue; } - var Ft = F[B++] & 63; - if ((fe & 240) == 224 ? fe = (fe & 15) << 12 | ve << 6 | Ft : fe = (fe & 7) << 18 | ve << 12 | Ft << 6 | F[B++] & 63, fe < 65536) - Pe += String.fromCharCode(fe); + var Ft = A[V++] & 63; + if ((he & 240) == 224 ? he = (he & 15) << 12 | Ne << 6 | Ft : he = (he & 7) << 18 | Ne << 12 | Ft << 6 | A[V++] & 63, he < 65536) + Le += String.fromCharCode(he); else { - var Qr = fe - 65536; - Pe += String.fromCharCode(55296 | Qr >> 10, 56320 | Qr & 1023); + var to = he - 65536; + Le += String.fromCharCode(55296 | to >> 10, 56320 | to & 1023); } } - return Pe; + return Le; } - function Re(F, B) { - return F ? Ae(o(), F, B) : ""; + function Pe(A, V) { + return A >>>= 0, A ? Fe(o(), A, V) : ""; } - function ot(F, B, ue, _e) { - if (!(_e > 0)) + function st(A, V, ue, Ee) { + if (ue >>>= 0, !(Ee > 0)) return 0; - for (var Me = ue, Pe = ue + _e - 1, fe = 0; fe < F.length; ++fe) { - var ve = F.charCodeAt(fe); - if (ve >= 55296 && ve <= 57343) { - var Ft = F.charCodeAt(++fe); - ve = 65536 + ((ve & 1023) << 10) | Ft & 1023; + for (var Be = ue, Le = ue + Ee - 1, he = 0; he < A.length; ++he) { + var Ne = A.charCodeAt(he); + if (Ne >= 55296 && Ne <= 57343) { + var Ft = A.charCodeAt(++he); + Ne = 65536 + ((Ne & 1023) << 10) | Ft & 1023; } - if (ve <= 127) { - if (ue >= Pe) + if (Ne <= 127) { + if (ue >= Le) break; - B[ue++] = ve; - } else if (ve <= 2047) { - if (ue + 1 >= Pe) + V[ue++ >>> 0] = Ne; + } else if (Ne <= 2047) { + if (ue + 1 >= Le) break; - B[ue++] = 192 | ve >> 6, B[ue++] = 128 | ve & 63; - } else if (ve <= 65535) { - if (ue + 2 >= Pe) + V[ue++ >>> 0] = 192 | Ne >> 6, V[ue++ >>> 0] = 128 | Ne & 63; + } else if (Ne <= 65535) { + if (ue + 2 >= Le) break; - B[ue++] = 224 | ve >> 12, B[ue++] = 128 | ve >> 6 & 63, B[ue++] = 128 | ve & 63; + V[ue++ >>> 0] = 224 | Ne >> 12, V[ue++ >>> 0] = 128 | Ne >> 6 & 63, V[ue++ >>> 0] = 128 | Ne & 63; } else { - if (ue + 3 >= Pe) + if (ue + 3 >= Le) break; - B[ue++] = 240 | ve >> 18, B[ue++] = 128 | ve >> 12 & 63, B[ue++] = 128 | ve >> 6 & 63, B[ue++] = 128 | ve & 63; + V[ue++ >>> 0] = 240 | Ne >> 18, V[ue++ >>> 0] = 128 | Ne >> 12 & 63, V[ue++ >>> 0] = 128 | Ne >> 6 & 63, V[ue++ >>> 0] = 128 | Ne & 63; } } - return B[ue] = 0, ue - Me; + return V[ue >>> 0] = 0, ue - Be; } - function pt(F, B, ue) { - return ot(F, o(), B, ue); + function lt(A, V, ue) { + return st(A, o(), V, ue); } - var ze, ct, at, ft, ht, Rr, Pt, qr, er; - w && (ze = u.buffer); - function Nt(F) { - ze = F, u.HEAP8 = ct = new Int8Array(F), u.HEAP16 = ft = new Int16Array(F), u.HEAP32 = Rr = new Int32Array(F), u.HEAPU8 = at = new Uint8Array(F), u.HEAPU16 = ht = new Uint16Array(F), u.HEAPU32 = Pt = new Uint32Array(F), u.HEAPF32 = qr = new Float32Array(F), u.HEAPF64 = er = new Float64Array(F); + var We, mt, it, ht, gt, Or, Mt, Qr, or; + S && (We = u.buffer); + function Tt(A) { + We = A, u.HEAP8 = mt = new Int8Array(A), u.HEAP16 = ht = new Int16Array(A), u.HEAP32 = Or = new Int32Array(A), u.HEAPU8 = it = new Uint8Array(A), u.HEAPU16 = gt = new Uint16Array(A), u.HEAPU32 = Mt = new Uint32Array(A), u.HEAPF32 = Qr = new Float32Array(A), u.HEAPF64 = or = new Float64Array(A); } - var tr = u.INITIAL_MEMORY || 16777216; - if (w) - te = u.wasmMemory, ze = u.buffer; + var nr = u.INITIAL_MEMORY || 16777216; + if (S) + oe = u.wasmMemory, We = u.buffer; else if (u.wasmMemory) - te = u.wasmMemory; - else if (te = new WebAssembly.Memory({ initial: tr / 65536, maximum: 32768, shared: true }), !(te.buffer instanceof SharedArrayBuffer)) - throw K("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"), C && K("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"), Error("bad memory"); - te && (ze = te.buffer), tr = ze.byteLength, Nt(ze); - var rr, jr = [], Xr = [], cr = [], ea = false; - function Do() { - return J; + oe = u.wasmMemory; + else if (oe = new WebAssembly.Memory({ initial: nr / 65536, maximum: 65536, shared: true }), !(oe.buffer instanceof SharedArrayBuffer)) + throw j("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"), w && j("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"), Error("bad memory"); + oe && (We = oe.buffer), nr = We.byteLength, Tt(We); + var sr, Zr = [], Jr = [], fr = [], Fa = false; + function Mo() { + return ee; } - function hs() { + function Vs() { if (u.preRun) for (typeof u.preRun == "function" && (u.preRun = [u.preRun]); u.preRun.length; ) - Dc(u.preRun.shift()); - Pc(jr); + el(u.preRun.shift()); + ol(Zr); } - function qt() { - ea = true, !w && Pc(Xr); + function Xt() { + Fa = true, !S && ol(Jr); } - function ta() { - if (!w) { + function Pa() { + if (!S) { if (u.postRun) for (typeof u.postRun == "function" && (u.postRun = [u.postRun]); u.postRun.length; ) - AI(u.postRun.shift()); - Pc(cr); + jv(u.postRun.shift()); + ol(fr); } } - function Dc(F) { - jr.unshift(F); + function el(A) { + Zr.unshift(A); } - function Fc(F) { - Xr.unshift(F); + function tl(A) { + Jr.unshift(A); } - function AI(F) { - cr.unshift(F); + function jv(A) { + fr.unshift(A); } - var Ya = 0, Ju = null, ra = null; - function Rx(F) { - Ya++, u.monitorRunDependencies && u.monitorRunDependencies(Ya); + var wi = 0, Dp = null, Oa = null; + function ly(A) { + wi++, u.monitorRunDependencies && u.monitorRunDependencies(wi); } - function Yl(F) { - if (Ya--, u.monitorRunDependencies && u.monitorRunDependencies(Ya), Ya == 0 && (Ju !== null && (clearInterval(Ju), Ju = null), ra)) { - var B = ra; - ra = null, B(); + function xm(A) { + if (wi--, u.monitorRunDependencies && u.monitorRunDependencies(wi), wi == 0 && (Dp !== null && (clearInterval(Dp), Dp = null), Oa)) { + var V = Oa; + Oa = null, V(); } } - function Ki(F) { - u.onAbort && u.onAbort(F), F = "Aborted(" + F + ")", K(F), ce = true, ye = 1, F += ". Build with -sASSERTIONS for more info."; - var B = new WebAssembly.RuntimeError(F); - throw l(B), B; + function Su(A) { + u.onAbort && u.onAbort(A), A = "Aborted(" + A + ")", j(A), le = true, ye = 1, A += ". Build with -sASSERTIONS for more info."; + var V = new WebAssembly.RuntimeError(A); + throw l(V), V; } - var Dx = "data:application/octet-stream;base64,"; - function Ql(F) { - return F.startsWith(Dx); + var my = "data:application/octet-stream;base64,"; + function ym(A) { + return A.startsWith(my); } - function ep(F) { - return F.startsWith("file://"); + function Ap(A) { + return A.startsWith("file://"); } - var lr; - lr = "tfjs-backend-wasm-threaded-simd.wasm", Ql(lr) || (lr = _(lr)); - function Zl(F) { + var hr; + hr = "tfjs-backend-wasm-threaded-simd.wasm", ym(hr) || (hr = _(hr)); + function bm(A) { try { - if (F == lr && oe) - return new Uint8Array(oe); - if (R) - return R(F); + if (A == hr && ne) + return new Uint8Array(ne); + if (D) + return D(A); throw "both async and sync fetching of the wasm failed"; - } catch (B) { - Ki(B); + } catch (V) { + Su(V); } } - function Fx() { - if (!oe && (x || b)) { - if (typeof fetch == "function" && !ep(lr)) - return fetch(lr, { credentials: "same-origin" }).then(function(F) { - if (!F.ok) - throw "failed to load wasm binary file at '" + lr + "'"; - return F.arrayBuffer(); + function dy() { + if (!ne && (x || b)) { + if (typeof fetch == "function" && !Ap(hr)) + return fetch(hr, { credentials: "same-origin" }).then(function(A) { + if (!A.ok) + throw "failed to load wasm binary file at '" + hr + "'"; + return A.arrayBuffer(); }).catch(function() { - return Zl(lr); + return bm(hr); }); - if (A) - return new Promise(function(F, B) { - A(lr, function(ue) { - F(new Uint8Array(ue)); - }, B); + if (R) + return new Promise(function(A, V) { + R(hr, function(ue) { + A(new Uint8Array(ue)); + }, V); }); } return Promise.resolve().then(function() { - return Zl(lr); + return bm(hr); }); } - function Ox() { - var F = { env: lm, wasi_snapshot_preview1: lm }; - function B(fe, ve) { - var Ft = fe.exports; - if (u.asm = Ft, Gx(u.asm._emscripten_tls_init), rr = u.asm.__indirect_function_table, Fc(u.asm.__wasm_call_ctors), ie = ve, !w) { - var Qr = Oe.unusedWorkers.length; - Oe.unusedWorkers.forEach(function(na) { - Oe.loadWasmModuleToWorker(na, function() { - --Qr || Yl("wasm-instantiate"); + function fy() { + var A = { env: Dm, wasi_snapshot_preview1: Dm }; + function V(he, Ne) { + var Ft = he.exports; + if (u.asm = Ft, Iy(u.asm._emscripten_tls_init), sr = u.asm.__indirect_function_table, tl(u.asm.__wasm_call_ctors), ie = Ne, !S) { + var to = Me.unusedWorkers.length; + Me.unusedWorkers.forEach(function(La) { + Me.loadWasmModuleToWorker(La, function() { + --to || xm("wasm-instantiate"); }); }); } } - w || Rx("wasm-instantiate"); - function ue(fe) { - B(fe.instance, fe.module); + S || ly("wasm-instantiate"); + function ue(he) { + V(he.instance, he.module); } - function _e(fe) { - return Fx().then(function(ve) { - return WebAssembly.instantiate(ve, F); - }).then(function(ve) { - return ve; - }).then(fe, function(ve) { - K("failed to asynchronously prepare wasm: " + ve), Ki(ve); + function Ee(he) { + return dy().then(function(Ne) { + return WebAssembly.instantiate(Ne, A); + }).then(function(Ne) { + return Ne; + }).then(he, function(Ne) { + j("failed to asynchronously prepare wasm: " + Ne), Su(Ne); }); } - function Me() { - return !oe && typeof WebAssembly.instantiateStreaming == "function" && !Ql(lr) && !ep(lr) && !C && typeof fetch == "function" ? fetch(lr, { credentials: "same-origin" }).then(function(fe) { - var ve = WebAssembly.instantiateStreaming(fe, F); - return ve.then(ue, function(Ft) { - return K("wasm streaming compile failed: " + Ft), K("falling back to ArrayBuffer instantiation"), _e(ue); + function Be() { + return !ne && typeof WebAssembly.instantiateStreaming == "function" && !ym(hr) && !Ap(hr) && !w && typeof fetch == "function" ? fetch(hr, { credentials: "same-origin" }).then(function(he) { + var Ne = WebAssembly.instantiateStreaming(he, A); + return Ne.then(ue, function(Ft) { + return j("wasm streaming compile failed: " + Ft), j("falling back to ArrayBuffer instantiation"), Ee(ue); }); - }) : _e(ue); + }) : Ee(ue); } if (u.instantiateWasm) try { - var Pe = u.instantiateWasm(F, B); - return Pe; - } catch (fe) { - K("Module.instantiateWasm callback failed with error: " + fe), l(fe); + var Le = u.instantiateWasm(A, V); + return Le; + } catch (he) { + j("Module.instantiateWasm callback failed with error: " + he), l(he); } - return Me().catch(l), {}; + return Be().catch(l), {}; } - var RI, DI, Jl = {}; - function qi(F) { - this.name = "ExitStatus", this.message = "Program terminated with exit(" + F + ")", this.status = F; + var Xv, Yv, Cm = {}; + function Iu(A) { + this.name = "ExitStatus", this.message = "Program terminated with exit(" + A + ")", this.status = A; } - function Px(F) { - var B = Oe.pthreads[F]; - delete Oe.pthreads[F], B.terminate(), hb(F), Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(B), 1), B.pthread_ptr = 0; + function hy(A) { + var V = Me.pthreads[A]; + delete Me.pthreads[A], V.terminate(), DC(A), Me.runningWorkers.splice(Me.runningWorkers.indexOf(V), 1), V.pthread_ptr = 0; } - function Mx(F) { - var B = Oe.pthreads[F]; - B.postMessage({ cmd: "cancel" }); + function gy(A) { + var V = Me.pthreads[A]; + V.postMessage({ cmd: "cancel" }); } - function Oc(F) { - var B = Oe.pthreads[F]; - Ne(B), Oe.returnWorkerToPool(B); + function rl(A) { + var V = Me.pthreads[A]; + _e(V), Me.returnWorkerToPool(V); } - function Lx(F) { - var B = Oe.getNewWorker(); - if (!B) + function xy(A) { + var V = Me.getNewWorker(); + if (!V) return 6; - Oe.runningWorkers.push(B), Oe.pthreads[F.pthread_ptr] = B, B.pthread_ptr = F.pthread_ptr; - var ue = { cmd: "run", start_routine: F.startRoutine, arg: F.arg, pthread_ptr: F.pthread_ptr }; - return B.runPthread = () => { - C && B.ref(), B.postMessage(ue, F.transferList), delete B.runPthread; - }, B.loaded && B.runPthread(), 0; + Me.runningWorkers.push(V), Me.pthreads[A.pthread_ptr] = V, V.pthread_ptr = A.pthread_ptr; + var ue = { cmd: "run", start_routine: A.startRoutine, arg: A.arg, pthread_ptr: A.pthread_ptr }; + return V.runPthread = () => { + w && V.ref(), V.postMessage(ue, A.transferList), delete V.runPthread; + }, V.loaded && V.runPthread(), 0; } - var em = { varargs: void 0, get: function() { - em.varargs += 4; - var F = s()[em.varargs - 4 >> 2]; - return F; - }, getStr: function(F) { - var B = Re(F); - return B; + var wm = { varargs: void 0, get: function() { + wm.varargs += 4; + var A = s()[wm.varargs - 4 >>> 2]; + return A; + }, getStr: function(A) { + var V = Pe(A); + return V; } }; - function tm(F) { - if (w) - return Qa(1, 1, F); - ye = F, Do() || (Oe.terminateAllThreads(), u.onExit && u.onExit(F), ce = true), g(F, new qi(F)); + function Sm(A) { + if (S) + return Si(1, 1, A); + ye = A, Mo() || (Me.terminateAllThreads(), u.onExit && u.onExit(A), le = true), g(A, new Iu(A)); } - function Bx(F, B) { - if (ye = F, !B && w) - throw om(F), "unwind"; - tm(F); + function yy(A, V) { + if (ye = A, !V && S) + throw vm(A), "unwind"; + Sm(A); } - var rm = Bx; - function Vx(F) { - if (F instanceof qi || F == "unwind") + var Im = yy; + function by(A) { + if (A instanceof Iu || A == "unwind") return ye; - g(1, F); + g(1, A); } - var Oe = { unusedWorkers: [], runningWorkers: [], tlsInitFunctions: [], pthreads: {}, init: function() { - w ? Oe.initWorker() : Oe.initMainThread(); + var Me = { unusedWorkers: [], runningWorkers: [], tlsInitFunctions: [], pthreads: {}, init: function() { + S ? Me.initWorker() : Me.initMainThread(); }, initMainThread: function() { - for (var F = 8; F--; ) - Oe.allocateUnusedWorker(); + for (var A = 8; A--; ) + Me.allocateUnusedWorker(); }, initWorker: function() { - J = false; - }, setExitStatus: function(F) { - ye = F; + ee = false; + }, setExitStatus: function(A) { + ye = A; }, terminateAllThreads: function() { - for (var F of Object.values(Oe.pthreads)) - Oe.returnWorkerToPool(F); - for (var F of Oe.unusedWorkers) - F.terminate(); - Oe.unusedWorkers = []; - }, returnWorkerToPool: function(F) { - var B = F.pthread_ptr; - delete Oe.pthreads[B], Oe.unusedWorkers.push(F), Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(F), 1), F.pthread_ptr = 0, C && F.unref(), hb(B); - }, receiveObjectTransfer: function(F) { + for (var A of Object.values(Me.pthreads)) + Me.returnWorkerToPool(A); + for (var A of Me.unusedWorkers) + A.terminate(); + Me.unusedWorkers = []; + }, returnWorkerToPool: function(A) { + var V = A.pthread_ptr; + delete Me.pthreads[V], Me.unusedWorkers.push(A), Me.runningWorkers.splice(Me.runningWorkers.indexOf(A), 1), A.pthread_ptr = 0, w && A.unref(), DC(V); + }, receiveObjectTransfer: function(A) { }, threadInitTLS: function() { - Oe.tlsInitFunctions.forEach((F) => F()); - }, loadWasmModuleToWorker: function(F, B) { - F.onmessage = (Pe) => { - var fe = Pe.data, ve = fe.cmd; - if (F.pthread_ptr && (Oe.currentProxiedOperationCallerThread = F.pthread_ptr), fe.targetThread && fe.targetThread != xm()) { - var Ft = Oe.pthreads[fe.targetThread]; - Ft ? Ft.postMessage(fe, fe.transferList) : K('Internal error! Worker sent a message "' + ve + '" to target pthread ' + fe.targetThread + ", but that thread no longer exists!"), Oe.currentProxiedOperationCallerThread = void 0; + Me.tlsInitFunctions.forEach((A) => A()); + }, loadWasmModuleToWorker: function(A, V) { + A.onmessage = (Le) => { + var he = Le.data, Ne = he.cmd; + if (A.pthread_ptr && (Me.currentProxiedOperationCallerThread = A.pthread_ptr), he.targetThread && he.targetThread != Lm()) { + var Ft = Me.pthreads[he.targetThread]; + Ft ? Ft.postMessage(he, he.transferList) : j('Internal error! Worker sent a message "' + Ne + '" to target pthread ' + he.targetThread + ", but that thread no longer exists!"), Me.currentProxiedOperationCallerThread = void 0; return; } - ve === "processProxyingQueue" ? Mc(fe.queue) : ve === "spawnThread" ? Lx(fe) : ve === "cleanupThread" ? Oc(fe.thread) : ve === "killThread" ? Px(fe.thread) : ve === "cancelThread" ? Mx(fe.thread) : ve === "loaded" ? (F.loaded = true, C && F.unref(), B && B(F), F.runPthread && F.runPthread()) : ve === "print" ? U("Thread " + fe.threadId + ": " + fe.text) : ve === "printErr" ? K("Thread " + fe.threadId + ": " + fe.text) : ve === "alert" ? alert("Thread " + fe.threadId + ": " + fe.text) : fe.target === "setimmediate" ? F.postMessage(fe) : ve === "callHandler" ? u[fe.handler](...fe.args) : ve && K("worker sent an unknown command " + ve), Oe.currentProxiedOperationCallerThread = void 0; - }, F.onerror = (Pe) => { - var fe = "worker sent an error!"; - throw K(fe + " " + Pe.filename + ":" + Pe.lineno + ": " + Pe.message), Pe; - }, C && (F.on("message", function(Pe) { - F.onmessage({ data: Pe }); - }), F.on("error", function(Pe) { - F.onerror(Pe); - }), F.on("detachedExit", function() { + Ne === "processProxyingQueue" ? nl(he.queue) : Ne === "spawnThread" ? xy(he) : Ne === "cleanupThread" ? rl(he.thread) : Ne === "killThread" ? hy(he.thread) : Ne === "cancelThread" ? gy(he.thread) : Ne === "loaded" ? (A.loaded = true, w && A.unref(), V && V(A), A.runPthread && A.runPthread()) : Ne === "print" ? U("Thread " + he.threadId + ": " + he.text) : Ne === "printErr" ? j("Thread " + he.threadId + ": " + he.text) : Ne === "alert" ? alert("Thread " + he.threadId + ": " + he.text) : he.target === "setimmediate" ? A.postMessage(he) : Ne === "callHandler" ? u[he.handler](...he.args) : Ne && j("worker sent an unknown command " + Ne), Me.currentProxiedOperationCallerThread = void 0; + }, A.onerror = (Le) => { + var he = "worker sent an error!"; + throw j(he + " " + Le.filename + ":" + Le.lineno + ": " + Le.message), Le; + }, w && (A.on("message", function(Le) { + A.onmessage({ data: Le }); + }), A.on("error", function(Le) { + A.onerror(Le); + }), A.on("detachedExit", function() { })); - var ue = [], _e = ["onExit", "onAbort", "print", "printErr"]; - for (var Me of _e) - u.hasOwnProperty(Me) && ue.push(Me); - F.postMessage({ cmd: "load", handlers: ue, urlOrBlob: u.mainScriptUrlOrBlob || r, wasmMemory: te, wasmModule: ie }); + var ue = [], Ee = ["onExit", "onAbort", "print", "printErr"]; + for (var Be of Ee) + u.hasOwnProperty(Be) && ue.push(Be); + A.postMessage({ cmd: "load", handlers: ue, urlOrBlob: u.mainScriptUrlOrBlob || r, wasmMemory: oe, wasmModule: ie }); }, allocateUnusedWorker: function() { - var F, B = _("tfjs-backend-wasm-threaded-simd.worker.js"); - F = new Worker(B), Oe.unusedWorkers.push(F); + var A, V = _("tfjs-backend-wasm-threaded-simd.worker.js"); + A = new Worker(V), Me.unusedWorkers.push(A); }, getNewWorker: function() { - return Oe.unusedWorkers.length == 0 && (Oe.allocateUnusedWorker(), Oe.loadWasmModuleToWorker(Oe.unusedWorkers[0])), Oe.unusedWorkers.pop(); + return Me.unusedWorkers.length == 0 && (Me.allocateUnusedWorker(), Me.loadWasmModuleToWorker(Me.unusedWorkers[0])), Me.unusedWorkers.pop(); } }; - u.PThread = Oe; - function Pc(F) { - for (; F.length > 0; ) - F.shift()(u); + u.PThread = Me; + function ol(A) { + for (; A.length > 0; ) + A.shift()(u); } - function zx() { - var F = xm(), B = s()[F + 52 >> 2], ue = s()[F + 56 >> 2], _e = B - ue; - BI(B, _e), ym(B); + function Cy() { + var A = Lm(), V = s()[A + 52 >>> 2], ue = s()[A + 56 >>> 2], Ee = V - ue; + r0(V, Ee), Bm(V); } - u.establishStackSpace = zx; - function om(F) { - if (w) - return Qa(2, 0, F); + u.establishStackSpace = Cy; + function vm(A) { + if (S) + return Si(2, 0, A); try { - rm(F); - } catch (B) { - Vx(B); + Im(A); + } catch (V) { + by(V); } } - var tp = []; - function Wx(F) { - var B = tp[F]; - return B || (F >= tp.length && (tp.length = F + 1), tp[F] = B = rr.get(F)), B; + var Fp = []; + function wy(A) { + var V = Fp[A]; + return V || (A >= Fp.length && (Fp.length = A + 1), Fp[A] = V = sr.get(A)), V; } - function Ux(F, B) { - var ue = Wx(F)(B); - Do() ? Oe.setExitStatus(ue) : LI(ue); + function Sy(A, V) { + var ue = wy(A)(V); + Mo() ? Me.setExitStatus(ue) : t0(ue); } - u.invokeEntryPoint = Ux; - function Gx(F) { - Oe.tlsInitFunctions.push(F); + u.invokeEntryPoint = Sy; + function Iy(A) { + Me.tlsInitFunctions.push(A); } - function Hx(F) { - OI(F, !b, 1, !x), Oe.threadInitTLS(); + function vy(A) { + Zv(A, !b, 1, !x), Me.threadInitTLS(); } - function Kx(F) { - w ? postMessage({ cmd: "cleanupThread", thread: F }) : Oc(F); + function ky(A) { + S ? postMessage({ cmd: "cleanupThread", thread: A }) : rl(A); } - function nm(F, B, ue, _e) { - return w ? Qa(3, 1, F, B, ue, _e) : sm(F, B, ue, _e); + function km(A, V, ue, Ee) { + return S ? Si(3, 1, A, V, ue, Ee) : Nm(A, V, ue, Ee); } - function sm(F, B, ue, _e) { + function Nm(A, V, ue, Ee) { if (typeof SharedArrayBuffer == "undefined") - return K("Current environment does not support SharedArrayBuffer, pthreads are not available!"), 6; - var Me = [], Pe = 0; - if (w && (Me.length === 0 || Pe)) - return nm(F, B, ue, _e); - if (Pe) - return Pe; - var fe = { startRoutine: ue, pthread_ptr: F, arg: _e, transferList: Me }; - return w ? (fe.cmd = "spawnThread", postMessage(fe, Me), 0) : Lx(fe); + return j("Current environment does not support SharedArrayBuffer, pthreads are not available!"), 6; + var Be = [], Le = 0; + if (S && (Be.length === 0 || Le)) + return km(A, V, ue, Ee); + if (Le) + return Le; + var he = { startRoutine: ue, pthread_ptr: A, arg: Ee, transferList: Be }; + return S ? (he.cmd = "spawnThread", postMessage(he, Be), 0) : xy(he); } - function qx() { + function Ny() { return 65536; } - var jx = true; - function Xx() { - return jx; + var Ty = true; + function _y() { + return Ty; } - function Mc(F) { - Atomics.store(s(), F >> 2, 1), xm() && MI(F), Atomics.compareExchange(s(), F >> 2, 1, 0); + function nl(A) { + Atomics.store(s(), A >> 2, 1), Lm() && e0(A), Atomics.compareExchange(s(), A >> 2, 1, 0); } - u.executeNotifiedProxyingQueue = Mc; - function Yx(F, B, ue, _e) { - if (F == B) - setTimeout(() => Mc(_e)); - else if (w) - postMessage({ targetThread: F, cmd: "processProxyingQueue", queue: _e }); + u.executeNotifiedProxyingQueue = nl; + function $y(A, V, ue, Ee) { + if (A == V) + setTimeout(() => nl(Ee)); + else if (S) + postMessage({ targetThread: A, cmd: "processProxyingQueue", queue: Ee }); else { - var Me = Oe.pthreads[F]; - if (!Me) + var Be = Me.pthreads[A]; + if (!Be) return; - Me.postMessage({ cmd: "processProxyingQueue", queue: _e }); + Be.postMessage({ cmd: "processProxyingQueue", queue: Ee }); } return 1; } - function Qx(F, B, ue) { + function Ey(A, V, ue) { return -1; } - function Zx() { - Ki(""); + function Ry() { + Su(""); } - function ji(F) { - ji.shown || (ji.shown = {}), ji.shown[F] || (ji.shown[F] = 1, C && (F = "warning: " + F), K(F)); + function vu(A) { + vu.shown || (vu.shown = {}), vu.shown[A] || (vu.shown[A] = 1, w && (A = "warning: " + A), j(A)); } - function Jx() { - C || b || ji("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread"); + function Dy() { + w || b || vu("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread"); } - function ey() { + function Ay() { return Date.now(); } - function am() { - return 2147483648; + function Tm() { + return 4294901760; } - function ty() { - return am(); + function Fy() { + return Tm(); } - var Lc; - C ? Lc = () => { - var F = process.hrtime(); - return F[0] * 1e3 + F[1] / 1e6; - } : Lc = () => performance.timeOrigin + performance.now(); - function ry(F, B, ue) { - o().copyWithin(F, B, B + ue); + var sl; + w ? sl = () => { + var A = process.hrtime(); + return A[0] * 1e3 + A[1] / 1e6; + } : sl = () => performance.timeOrigin + performance.now(); + function Py(A, V, ue) { + o().copyWithin(A >>> 0, V >>> 0, V + ue >>> 0); } - function oy() { - return C ? b3().cpus().length : navigator.hardwareConcurrency; + function Oy() { + return w ? eB().cpus().length : navigator.hardwareConcurrency; } - function ny(F) { - var B = gb(), ue = F(); - return ym(B), ue; + function My(A) { + var V = AC(), ue = A(); + return Bm(V), ue; } - function Qa(F, B) { - var ue = arguments.length - 2, _e = arguments; - return ny(() => { - for (var Me = ue, Pe = bm(Me * 8), fe = Pe >> 3, ve = 0; ve < ue; ve++) { - var Ft = _e[2 + ve]; - p()[fe + ve] = Ft; + function Si(A, V) { + var ue = arguments.length - 2, Ee = arguments; + return My(() => { + for (var Be = ue, Le = zm(Be * 8), he = Le >> 3, Ne = 0; Ne < ue; Ne++) { + var Ft = Ee[2 + Ne]; + p()[he + Ne >>> 0] = Ft; } - return PI(F, Me, Pe, B); + return Jv(A, Be, Le, V); }); } - var Bc = []; - function sy(F, B, ue) { - Bc.length = B; - for (var _e = ue >> 3, Me = 0; Me < B; Me++) - Bc[Me] = p()[_e + Me]; - var Pe = F < 0, fe = Pe ? Jl[-F - 1] : fy[F]; - return fe.apply(null, Bc); + var al = []; + function Ly(A, V, ue) { + al.length = V; + for (var Ee = ue >> 3, Be = 0; Be < V; Be++) + al[Be] = p()[Ee + Be >>> 0]; + var Le = A < 0, he = Le ? Cm[-A - 1] : qy[A]; + return he.apply(null, al); } - function ay(F) { + function By(A) { try { - return te.grow(F - ze.byteLength + 65535 >>> 16), Nt(te.buffer), 1; - } catch (B) { + return oe.grow(A - We.byteLength + 65535 >>> 16), Tt(oe.buffer), 1; + } catch (V) { } } - function iy(F) { - var B = o().length; - if (F = F >>> 0, F <= B) + function zy(A) { + var V = o().length; + if (A = A >>> 0, A <= V) return false; - var ue = am(); - if (F > ue) + var ue = Tm(); + if (A > ue) return false; - let _e = (Ft, Qr) => Ft + (Qr - Ft % Qr) % Qr; - for (var Me = 1; Me <= 4; Me *= 2) { - var Pe = B * (1 + 0.2 / Me); - Pe = Math.min(Pe, F + 100663296); - var fe = Math.min(ue, _e(Math.max(F, Pe), 65536)), ve = ay(fe); - if (ve) + let Ee = (Ft, to) => Ft + (to - Ft % to) % to; + for (var Be = 1; Be <= 4; Be *= 2) { + var Le = V * (1 + 0.2 / Be); + Le = Math.min(Le, A + 100663296); + var he = Math.min(ue, Ee(Math.max(A, Le), 65536)), Ne = By(he); + if (Ne) return true; } return false; } - function uy() { + function Vy() { throw "unwind"; } - function im(F) { - return w ? Qa(4, 1, F) : 52; + function _m(A) { + return S ? Si(4, 1, A) : 52; } - function um(F, B, ue, _e, Me) { - return w ? Qa(5, 1, F, B, ue, _e, Me) : 70; + function $m(A, V, ue, Ee, Be) { + return S ? Si(5, 1, A, V, ue, Ee, Be) : 70; } - var py = [null, [], []]; - function cy(F, B) { - var ue = py[F]; - B === 0 || B === 10 ? ((F === 1 ? U : K)(Ae(ue, 0)), ue.length = 0) : ue.push(B); + var Wy = [null, [], []]; + function Uy(A, V) { + var ue = Wy[A]; + V === 0 || V === 10 ? ((A === 1 ? U : j)(Fe(ue, 0)), ue.length = 0) : ue.push(V); } - function pm(F, B, ue, _e) { - if (w) - return Qa(6, 1, F, B, ue, _e); - for (var Me = 0, Pe = 0; Pe < ue; Pe++) { - var fe = a()[B >> 2], ve = a()[B + 4 >> 2]; - B += 8; - for (var Ft = 0; Ft < ve; Ft++) - cy(F, o()[fe + Ft]); - Me += ve; + function Em(A, V, ue, Ee) { + if (S) + return Si(6, 1, A, V, ue, Ee); + for (var Be = 0, Le = 0; Le < ue; Le++) { + var he = a()[V >>> 2], Ne = a()[V + 4 >>> 2]; + V += 8; + for (var Ft = 0; Ft < Ne; Ft++) + Uy(A, o()[he + Ft >>> 0]); + Be += Ne; } - return a()[_e >> 2] = Me, 0; + return a()[Ee >>> 2] = Be, 0; } - function cm(F) { - var B = u["_" + F]; - return B; + function Rm(A) { + var V = u["_" + A]; + return V; } - function ly(F, B) { - t10().set(F, B); + function Gy(A, V) { + t10().set(A, V >>> 0); } - function my(F, B, ue, _e, Me) { - var Pe = { string: (Dr) => { - var sp = 0; - if (Dr != null && Dr !== 0) { - var WI = (Dr.length << 2) + 1; - sp = bm(WI), pt(Dr, sp, WI); + function Hy(A, V, ue, Ee, Be) { + var Le = { string: (Mr) => { + var Lp = 0; + if (Mr != null && Mr !== 0) { + var s0 = (Mr.length << 2) + 1; + Lp = zm(s0), lt(Mr, Lp, s0); } - return sp; - }, array: (Dr) => { - var sp = bm(Dr.length); - return ly(Dr, sp), sp; + return Lp; + }, array: (Mr) => { + var Lp = zm(Mr.length); + return Gy(Mr, Lp), Lp; } }; - function fe(Dr) { - return B === "string" ? Re(Dr) : B === "boolean" ? !!Dr : Dr; + function he(Mr) { + return V === "string" ? Pe(Mr) : V === "boolean" ? !!Mr : Mr; } - var ve = cm(F), Ft = [], Qr = 0; - if (_e) - for (var na = 0; na < _e.length; na++) { - var zI = Pe[ue[na]]; - zI ? (Qr === 0 && (Qr = gb()), Ft[na] = zI(_e[na])) : Ft[na] = _e[na]; + var Ne = Rm(A), Ft = [], to = 0; + if (Ee) + for (var La = 0; La < Ee.length; La++) { + var n0 = Le[ue[La]]; + n0 ? (to === 0 && (to = AC()), Ft[La] = n0(Ee[La])) : Ft[La] = Ee[La]; } - var xb = ve.apply(null, Ft); - function OV(Dr) { - return Qr !== 0 && ym(Qr), fe(Dr); + var FC = Ne.apply(null, Ft); + function LU(Mr) { + return to !== 0 && Bm(to), he(Mr); } - return xb = OV(xb), xb; + return FC = LU(FC), FC; } - function dy(F, B, ue, _e) { + function Ky(A, V, ue, Ee) { ue = ue || []; - var Me = ue.every((fe) => fe === "number" || fe === "boolean"), Pe = B !== "string"; - return Pe && Me && !_e ? cm(F) : function() { - return my(F, B, ue, arguments, _e); + var Be = ue.every((he) => he === "number" || he === "boolean"), Le = V !== "string"; + return Le && Be && !Ee ? Rm(A) : function() { + return Hy(A, V, ue, arguments, Ee); }; } - Oe.init(); - var fy = [null, tm, om, nm, im, um, pm], lm = { __emscripten_init_main_thread_js: Hx, __emscripten_thread_cleanup: Kx, __pthread_create_js: sm, _emscripten_default_pthread_stack_size: qx, _emscripten_get_now_is_monotonic: Xx, _emscripten_notify_task_queue: Yx, _emscripten_set_offscreencanvas_size: Qx, abort: Zx, emscripten_check_blocking_allowed: Jx, emscripten_date_now: ey, emscripten_get_heap_max: ty, emscripten_get_now: Lc, emscripten_memcpy_big: ry, emscripten_num_logical_cores: oy, emscripten_receive_on_main_thread_js: sy, emscripten_resize_heap: iy, emscripten_unwind_to_js_event_loop: uy, exit: rm, fd_close: im, fd_seek: um, fd_write: pm, memory: te || u.wasmMemory }, FI = Ox(), hy = u.___wasm_call_ctors = function() { - return (hy = u.___wasm_call_ctors = u.asm.__wasm_call_ctors).apply(null, arguments); - }, gy = u._init = function() { - return (gy = u._init = u.asm.init).apply(null, arguments); - }, xy = u._init_with_threads_count = function() { - return (xy = u._init_with_threads_count = u.asm.init_with_threads_count).apply(null, arguments); - }, yy = u._get_threads_count = function() { - return (yy = u._get_threads_count = u.asm.get_threads_count).apply(null, arguments); - }, by = u._register_tensor = function() { - return (by = u._register_tensor = u.asm.register_tensor).apply(null, arguments); - }, Cy = u._dispose_data = function() { - return (Cy = u._dispose_data = u.asm.dispose_data).apply(null, arguments); - }, Sy = u._dispose = function() { - return (Sy = u._dispose = u.asm.dispose).apply(null, arguments); - }, wy = u._Abs = function() { - return (wy = u._Abs = u.asm.Abs).apply(null, arguments); - }, Iy = u._Add = function() { - return (Iy = u._Add = u.asm.Add).apply(null, arguments); - }, vy = u._AddN = function() { - return (vy = u._AddN = u.asm.AddN).apply(null, arguments); - }, ky = u._All = function() { - return (ky = u._All = u.asm.All).apply(null, arguments); - }, Ny = u._Any = function() { - return (Ny = u._Any = u.asm.Any).apply(null, arguments); - }, Ty = u._ArgMax = function() { - return (Ty = u._ArgMax = u.asm.ArgMax).apply(null, arguments); - }, _y = u._AvgPool = function() { - return (_y = u._AvgPool = u.asm.AvgPool).apply(null, arguments); - }, $y = u._BatchMatMul = function() { - return ($y = u._BatchMatMul = u.asm.BatchMatMul).apply(null, arguments); - }, Ey = u._Ceil = function() { - return (Ey = u._Ceil = u.asm.Ceil).apply(null, arguments); - }, Ay = u._ClipByValue = function() { - return (Ay = u._ClipByValue = u.asm.ClipByValue).apply(null, arguments); - }, Ry = u._Conv2D = function() { - return (Ry = u._Conv2D = u.asm.Conv2D).apply(null, arguments); - }, Dy = u._Conv2DBackpropInput = function() { - return (Dy = u._Conv2DBackpropInput = u.asm.Conv2DBackpropInput).apply(null, arguments); - }, Fy = u._Cos = function() { - return (Fy = u._Cos = u.asm.Cos).apply(null, arguments); - }, Oy = u._Cosh = function() { - return (Oy = u._Cosh = u.asm.Cosh).apply(null, arguments); - }, Py = u._CropAndResize = function() { - return (Py = u._CropAndResize = u.asm.CropAndResize).apply(null, arguments); - }, My = u._Cumprod = function() { - return (My = u._Cumprod = u.asm.Cumprod).apply(null, arguments); - }, Ly = u._Cumsum = function() { - return (Ly = u._Cumsum = u.asm.Cumsum).apply(null, arguments); - }, By = u._DepthToSpace = function() { - return (By = u._DepthToSpace = u.asm.DepthToSpace).apply(null, arguments); - }, Vy = u._DepthwiseConv2dNative = function() { - return (Vy = u._DepthwiseConv2dNative = u.asm.DepthwiseConv2dNative).apply(null, arguments); - }, zy = u._Elu = function() { - return (zy = u._Elu = u.asm.Elu).apply(null, arguments); - }, Wy = u._Equal = function() { - return (Wy = u._Equal = u.asm.Equal).apply(null, arguments); - }, Uy = u._Exp = function() { - return (Uy = u._Exp = u.asm.Exp).apply(null, arguments); - }, Gy = u._FlipLeftRight = function() { - return (Gy = u._FlipLeftRight = u.asm.FlipLeftRight).apply(null, arguments); - }, Hy = u._Floor = function() { - return (Hy = u._Floor = u.asm.Floor).apply(null, arguments); - }, Ky = u._FloorDiv = function() { - return (Ky = u._FloorDiv = u.asm.FloorDiv).apply(null, arguments); - }, qy = u._FusedBatchNorm = function() { - return (qy = u._FusedBatchNorm = u.asm.FusedBatchNorm).apply(null, arguments); - }, jy = u._FusedConv2D = function() { - return (jy = u._FusedConv2D = u.asm.FusedConv2D).apply(null, arguments); - }, Xy = u._FusedDepthwiseConv2D = function() { - return (Xy = u._FusedDepthwiseConv2D = u.asm.FusedDepthwiseConv2D).apply(null, arguments); - }, Yy = u._Gather = function() { - return (Yy = u._Gather = u.asm.Gather).apply(null, arguments); - }, Qy = u._GatherNd = function() { - return (Qy = u._GatherNd = u.asm.GatherNd).apply(null, arguments); - }, Zy = u._Greater = function() { - return (Zy = u._Greater = u.asm.Greater).apply(null, arguments); - }, Jy = u._GreaterEqual = function() { - return (Jy = u._GreaterEqual = u.asm.GreaterEqual).apply(null, arguments); - }, eb = u._IsNan = function() { - return (eb = u._IsNan = u.asm.IsNan).apply(null, arguments); - }, tb = u._LeakyRelu = function() { - return (tb = u._LeakyRelu = u.asm.LeakyRelu).apply(null, arguments); - }, rb = u._Less = function() { - return (rb = u._Less = u.asm.Less).apply(null, arguments); - }, ob = u._LessEqual = function() { - return (ob = u._LessEqual = u.asm.LessEqual).apply(null, arguments); - }, nb = u._Log = function() { - return (nb = u._Log = u.asm.Log).apply(null, arguments); - }, sb = u._LogicalAnd = function() { - return (sb = u._LogicalAnd = u.asm.LogicalAnd).apply(null, arguments); - }, ab = u._LogicalNot = function() { - return (ab = u._LogicalNot = u.asm.LogicalNot).apply(null, arguments); - }, ib = u._LogicalOr = function() { - return (ib = u._LogicalOr = u.asm.LogicalOr).apply(null, arguments); - }, ub = u._LogicalXor = function() { - return (ub = u._LogicalXor = u.asm.LogicalXor).apply(null, arguments); - }, pb = u._Max = function() { - return (pb = u._Max = u.asm.Max).apply(null, arguments); - }, cb = u._MaxPool = function() { - return (cb = u._MaxPool = u.asm.MaxPool).apply(null, arguments); - }, mm = u._Maximum = function() { - return (mm = u._Maximum = u.asm.Maximum).apply(null, arguments); - }, dm = u._Mean = function() { - return (dm = u._Mean = u.asm.Mean).apply(null, arguments); - }, Vc = u._Min = function() { - return (Vc = u._Min = u.asm.Min).apply(null, arguments); - }, lb = u._Minimum = function() { - return (lb = u._Minimum = u.asm.Minimum).apply(null, arguments); - }, mb = u._MirrorPad = function() { - return (mb = u._MirrorPad = u.asm.MirrorPad).apply(null, arguments); - }, rp = u._Multiply = function() { - return (rp = u._Multiply = u.asm.Multiply).apply(null, arguments); - }, fm = u._Neg = function() { - return (fm = u._Neg = u.asm.Neg).apply(null, arguments); - }, op = u._NonMaxSuppressionV3 = function() { - return (op = u._NonMaxSuppressionV3 = u.asm.NonMaxSuppressionV3).apply(null, arguments); - }, np = u._NonMaxSuppressionV4 = function() { - return (np = u._NonMaxSuppressionV4 = u.asm.NonMaxSuppressionV4).apply(null, arguments); - }, db = u._NonMaxSuppressionV5 = function() { - return (db = u._NonMaxSuppressionV5 = u.asm.NonMaxSuppressionV5).apply(null, arguments); - }, G = u._NotEqual = function() { - return (G = u._NotEqual = u.asm.NotEqual).apply(null, arguments); - }, se = u._OneHot = function() { - return (se = u._OneHot = u.asm.OneHot).apply(null, arguments); - }, Te = u._PadV2 = function() { - return (Te = u._PadV2 = u.asm.PadV2).apply(null, arguments); - }, nt = u._Pow = function() { - return (nt = u._Pow = u.asm.Pow).apply(null, arguments); - }, Tt = u._Prelu = function() { - return (Tt = u._Prelu = u.asm.Prelu).apply(null, arguments); - }, _t = u._Prod = function() { - return (_t = u._Prod = u.asm.Prod).apply(null, arguments); - }, qe = u._RealDiv = function() { - return (qe = u._RealDiv = u.asm.RealDiv).apply(null, arguments); - }, Ue = u._Reciprocal = function() { - return (Ue = u._Reciprocal = u.asm.Reciprocal).apply(null, arguments); - }, Wt = u._Relu = function() { - return (Wt = u._Relu = u.asm.Relu).apply(null, arguments); - }, Yr = u._Relu6 = function() { - return (Yr = u._Relu6 = u.asm.Relu6).apply(null, arguments); - }, oa = u._ResizeBilinear = function() { - return (oa = u._ResizeBilinear = u.asm.ResizeBilinear).apply(null, arguments); - }, hm = u._ResizeNearestNeighbor = function() { - return (hm = u._ResizeNearestNeighbor = u.asm.ResizeNearestNeighbor).apply(null, arguments); - }, zc = u._Reverse = function() { - return (zc = u._Reverse = u.asm.Reverse).apply(null, arguments); - }, fb = u._RotateWithOffset = function() { - return (fb = u._RotateWithOffset = u.asm.RotateWithOffset).apply(null, arguments); - }, hr = u._Round = function() { - return (hr = u._Round = u.asm.Round).apply(null, arguments); - }, Za = u._Rsqrt = function() { - return (Za = u._Rsqrt = u.asm.Rsqrt).apply(null, arguments); - }, gm = u._ScatterNd = function() { - return (gm = u._ScatterNd = u.asm.ScatterNd).apply(null, arguments); - }, oV = u._SelectV2 = function() { - return (oV = u._SelectV2 = u.asm.SelectV2).apply(null, arguments); - }, nV = u._Sigmoid = function() { - return (nV = u._Sigmoid = u.asm.Sigmoid).apply(null, arguments); - }, sV = u._Sin = function() { - return (sV = u._Sin = u.asm.Sin).apply(null, arguments); - }, aV = u._Softmax = function() { - return (aV = u._Softmax = u.asm.Softmax).apply(null, arguments); - }, iV = u._SparseFillEmptyRows = function() { - return (iV = u._SparseFillEmptyRows = u.asm.SparseFillEmptyRows).apply(null, arguments); - }, uV = u._SparseReshape = function() { - return (uV = u._SparseReshape = u.asm.SparseReshape).apply(null, arguments); - }, pV = u._SparseSegmentReduction = function() { - return (pV = u._SparseSegmentReduction = u.asm.SparseSegmentReduction).apply(null, arguments); - }, cV = u._Sqrt = function() { - return (cV = u._Sqrt = u.asm.Sqrt).apply(null, arguments); - }, lV = u._Square = function() { - return (lV = u._Square = u.asm.Square).apply(null, arguments); - }, mV = u._SquaredDifference = function() { - return (mV = u._SquaredDifference = u.asm.SquaredDifference).apply(null, arguments); - }, dV = u._Step = function() { - return (dV = u._Step = u.asm.Step).apply(null, arguments); - }, fV = u._StridedSlice = function() { - return (fV = u._StridedSlice = u.asm.StridedSlice).apply(null, arguments); - }, hV = u._Sub = function() { - return (hV = u._Sub = u.asm.Sub).apply(null, arguments); - }, gV = u._Sum = function() { - return (gV = u._Sum = u.asm.Sum).apply(null, arguments); - }, xV = u._Tan = function() { - return (xV = u._Tan = u.asm.Tan).apply(null, arguments); - }, yV = u._Tanh = function() { - return (yV = u._Tanh = u.asm.Tanh).apply(null, arguments); - }, bV = u._Tile = function() { - return (bV = u._Tile = u.asm.Tile).apply(null, arguments); - }, CV = u._TopK = function() { - return (CV = u._TopK = u.asm.TopK).apply(null, arguments); - }, SV = u._Transform = function() { - return (SV = u._Transform = u.asm.Transform).apply(null, arguments); - }, wV = u._Transpose = function() { - return (wV = u._Transpose = u.asm.Transpose).apply(null, arguments); - }, IV = u.__FusedMatMul = function() { - return (IV = u.__FusedMatMul = u.asm._FusedMatMul).apply(null, arguments); - }, vV = u._malloc = function() { - return (vV = u._malloc = u.asm.malloc).apply(null, arguments); - }, kV = u._free = function() { - return (kV = u._free = u.asm.free).apply(null, arguments); - }, NV = u.__emscripten_tls_init = function() { - return (NV = u.__emscripten_tls_init = u.asm._emscripten_tls_init).apply(null, arguments); - }, xm = u._pthread_self = function() { - return (xm = u._pthread_self = u.asm.pthread_self).apply(null, arguments); - }, TV = u.___errno_location = function() { - return (TV = u.___errno_location = u.asm.__errno_location).apply(null, arguments); - }, OI = u.__emscripten_thread_init = function() { - return (OI = u.__emscripten_thread_init = u.asm._emscripten_thread_init).apply(null, arguments); - }, _V = u.__emscripten_thread_crashed = function() { - return (_V = u.__emscripten_thread_crashed = u.asm._emscripten_thread_crashed).apply(null, arguments); - }, $V = u._emscripten_main_thread_process_queued_calls = function() { - return ($V = u._emscripten_main_thread_process_queued_calls = u.asm.emscripten_main_thread_process_queued_calls).apply(null, arguments); - }, EV = u._emscripten_main_browser_thread_id = function() { - return (EV = u._emscripten_main_browser_thread_id = u.asm.emscripten_main_browser_thread_id).apply(null, arguments); - }, PI = u._emscripten_run_in_main_runtime_thread_js = function() { - return (PI = u._emscripten_run_in_main_runtime_thread_js = u.asm.emscripten_run_in_main_runtime_thread_js).apply(null, arguments); - }, AV = u._emscripten_dispatch_to_thread_ = function() { - return (AV = u._emscripten_dispatch_to_thread_ = u.asm.emscripten_dispatch_to_thread_).apply(null, arguments); - }, MI = u.__emscripten_proxy_execute_task_queue = function() { - return (MI = u.__emscripten_proxy_execute_task_queue = u.asm._emscripten_proxy_execute_task_queue).apply(null, arguments); - }, hb = u.__emscripten_thread_free_data = function() { - return (hb = u.__emscripten_thread_free_data = u.asm._emscripten_thread_free_data).apply(null, arguments); - }, LI = u.__emscripten_thread_exit = function() { - return (LI = u.__emscripten_thread_exit = u.asm._emscripten_thread_exit).apply(null, arguments); - }, BI = u._emscripten_stack_set_limits = function() { - return (BI = u._emscripten_stack_set_limits = u.asm.emscripten_stack_set_limits).apply(null, arguments); - }, gb = u.stackSave = function() { - return (gb = u.stackSave = u.asm.stackSave).apply(null, arguments); - }, ym = u.stackRestore = function() { - return (ym = u.stackRestore = u.asm.stackRestore).apply(null, arguments); - }, bm = u.stackAlloc = function() { - return (bm = u.stackAlloc = u.asm.stackAlloc).apply(null, arguments); - }, RV = u.dynCall_iijjiiii = function() { - return (RV = u.dynCall_iijjiiii = u.asm.dynCall_iijjiiii).apply(null, arguments); - }, DV = u.dynCall_jiji = function() { - return (DV = u.dynCall_jiji = u.asm.dynCall_jiji).apply(null, arguments); + Me.init(); + var qy = [null, Sm, vm, km, _m, $m, Em], Dm = { __emscripten_init_main_thread_js: vy, __emscripten_thread_cleanup: ky, __pthread_create_js: Nm, _emscripten_default_pthread_stack_size: Ny, _emscripten_get_now_is_monotonic: _y, _emscripten_notify_task_queue: $y, _emscripten_set_offscreencanvas_size: Ey, abort: Ry, emscripten_check_blocking_allowed: Dy, emscripten_date_now: Ay, emscripten_get_heap_max: Fy, emscripten_get_now: sl, emscripten_memcpy_big: Py, emscripten_num_logical_cores: Oy, emscripten_receive_on_main_thread_js: Ly, emscripten_resize_heap: zy, emscripten_unwind_to_js_event_loop: Vy, exit: Im, fd_close: _m, fd_seek: $m, fd_write: Em, memory: oe || u.wasmMemory }, Qv = fy(), jy = u.___wasm_call_ctors = function() { + return (jy = u.___wasm_call_ctors = u.asm.__wasm_call_ctors).apply(null, arguments); + }, Xy = u._init = function() { + return (Xy = u._init = u.asm.init).apply(null, arguments); + }, Yy = u._init_with_threads_count = function() { + return (Yy = u._init_with_threads_count = u.asm.init_with_threads_count).apply(null, arguments); + }, Qy = u._get_threads_count = function() { + return (Qy = u._get_threads_count = u.asm.get_threads_count).apply(null, arguments); + }, Zy = u._register_tensor = function() { + return (Zy = u._register_tensor = u.asm.register_tensor).apply(null, arguments); + }, Jy = u._dispose_data = function() { + return (Jy = u._dispose_data = u.asm.dispose_data).apply(null, arguments); + }, eb = u._dispose = function() { + return (eb = u._dispose = u.asm.dispose).apply(null, arguments); + }, tb = u._Abs = function() { + return (tb = u._Abs = u.asm.Abs).apply(null, arguments); + }, rb = u._Acos = function() { + return (rb = u._Acos = u.asm.Acos).apply(null, arguments); + }, ob = u._Acosh = function() { + return (ob = u._Acosh = u.asm.Acosh).apply(null, arguments); + }, nb = u._Add = function() { + return (nb = u._Add = u.asm.Add).apply(null, arguments); + }, sb = u._AddN = function() { + return (sb = u._AddN = u.asm.AddN).apply(null, arguments); + }, ab = u._All = function() { + return (ab = u._All = u.asm.All).apply(null, arguments); + }, ib = u._Any = function() { + return (ib = u._Any = u.asm.Any).apply(null, arguments); + }, ub = u._ArgMax = function() { + return (ub = u._ArgMax = u.asm.ArgMax).apply(null, arguments); + }, pb = u._ArgMin = function() { + return (pb = u._ArgMin = u.asm.ArgMin).apply(null, arguments); + }, cb = u._Asin = function() { + return (cb = u._Asin = u.asm.Asin).apply(null, arguments); + }, lb = u._Asinh = function() { + return (lb = u._Asinh = u.asm.Asinh).apply(null, arguments); + }, mb = u._Atan = function() { + return (mb = u._Atan = u.asm.Atan).apply(null, arguments); + }, db = u._Atan2 = function() { + return (db = u._Atan2 = u.asm.Atan2).apply(null, arguments); + }, fb = u._Atanh = function() { + return (fb = u._Atanh = u.asm.Atanh).apply(null, arguments); + }, hb = u._AvgPool = function() { + return (hb = u._AvgPool = u.asm.AvgPool).apply(null, arguments); + }, gb = u._AvgPool3D = function() { + return (gb = u._AvgPool3D = u.asm.AvgPool3D).apply(null, arguments); + }, xb = u._AvgPool3DGrad = function() { + return (xb = u._AvgPool3DGrad = u.asm.AvgPool3DGrad).apply(null, arguments); + }, yb = u._BatchMatMul = function() { + return (yb = u._BatchMatMul = u.asm.BatchMatMul).apply(null, arguments); + }, bb = u._Bincount = function() { + return (bb = u._Bincount = u.asm.Bincount).apply(null, arguments); + }, Cb = u._Ceil = function() { + return (Cb = u._Ceil = u.asm.Ceil).apply(null, arguments); + }, wb = u._ClipByValue = function() { + return (wb = u._ClipByValue = u.asm.ClipByValue).apply(null, arguments); + }, Sb = u._Conv2D = function() { + return (Sb = u._Conv2D = u.asm.Conv2D).apply(null, arguments); + }, Ib = u._Conv2DBackpropInput = function() { + return (Ib = u._Conv2DBackpropInput = u.asm.Conv2DBackpropInput).apply(null, arguments); + }, vb = u._Conv3D = function() { + return (vb = u._Conv3D = u.asm.Conv3D).apply(null, arguments); + }, kb = u._Conv3DBackpropFilterV2 = function() { + return (kb = u._Conv3DBackpropFilterV2 = u.asm.Conv3DBackpropFilterV2).apply(null, arguments); + }, Nb = u._Conv3DBackpropInputV2 = function() { + return (Nb = u._Conv3DBackpropInputV2 = u.asm.Conv3DBackpropInputV2).apply(null, arguments); + }, Tb = u._Cos = function() { + return (Tb = u._Cos = u.asm.Cos).apply(null, arguments); + }, _b = u._Cosh = function() { + return (_b = u._Cosh = u.asm.Cosh).apply(null, arguments); + }, $b = u._CropAndResize = function() { + return ($b = u._CropAndResize = u.asm.CropAndResize).apply(null, arguments); + }, Eb = u._Cumprod = function() { + return (Eb = u._Cumprod = u.asm.Cumprod).apply(null, arguments); + }, Rb = u._Cumsum = function() { + return (Rb = u._Cumsum = u.asm.Cumsum).apply(null, arguments); + }, Db = u._DenseBincount = function() { + return (Db = u._DenseBincount = u.asm.DenseBincount).apply(null, arguments); + }, Ab = u._DepthToSpace = function() { + return (Ab = u._DepthToSpace = u.asm.DepthToSpace).apply(null, arguments); + }, Fb = u._DepthwiseConv2dNative = function() { + return (Fb = u._DepthwiseConv2dNative = u.asm.DepthwiseConv2dNative).apply(null, arguments); + }, Pb = u._Diag = function() { + return (Pb = u._Diag = u.asm.Diag).apply(null, arguments); + }, Ob = u._Dilation2D = function() { + return (Ob = u._Dilation2D = u.asm.Dilation2D).apply(null, arguments); + }, Mb = u._Dilation2DBackpropFilter = function() { + return (Mb = u._Dilation2DBackpropFilter = u.asm.Dilation2DBackpropFilter).apply(null, arguments); + }, Lb = u._Dilation2DBackpropInput = function() { + return (Lb = u._Dilation2DBackpropInput = u.asm.Dilation2DBackpropInput).apply(null, arguments); + }, Bb = u._Elu = function() { + return (Bb = u._Elu = u.asm.Elu).apply(null, arguments); + }, zb = u._EluGrad = function() { + return (zb = u._EluGrad = u.asm.EluGrad).apply(null, arguments); + }, Vb = u._Equal = function() { + return (Vb = u._Equal = u.asm.Equal).apply(null, arguments); + }, Wb = u._Exp = function() { + return (Wb = u._Exp = u.asm.Exp).apply(null, arguments); + }, Ub = u._Expm1 = function() { + return (Ub = u._Expm1 = u.asm.Expm1).apply(null, arguments); + }, Gb = u._FlipLeftRight = function() { + return (Gb = u._FlipLeftRight = u.asm.FlipLeftRight).apply(null, arguments); + }, Hb = u._Floor = function() { + return (Hb = u._Floor = u.asm.Floor).apply(null, arguments); + }, Kb = u._FloorDiv = function() { + return (Kb = u._FloorDiv = u.asm.FloorDiv).apply(null, arguments); + }, qb = u._FusedBatchNorm = function() { + return (qb = u._FusedBatchNorm = u.asm.FusedBatchNorm).apply(null, arguments); + }, jb = u._FusedConv2D = function() { + return (jb = u._FusedConv2D = u.asm.FusedConv2D).apply(null, arguments); + }, Xb = u._FusedDepthwiseConv2D = function() { + return (Xb = u._FusedDepthwiseConv2D = u.asm.FusedDepthwiseConv2D).apply(null, arguments); + }, Yb = u._Gather = function() { + return (Yb = u._Gather = u.asm.Gather).apply(null, arguments); + }, Qb = u._GatherNd = function() { + return (Qb = u._GatherNd = u.asm.GatherNd).apply(null, arguments); + }, Zb = u._Greater = function() { + return (Zb = u._Greater = u.asm.Greater).apply(null, arguments); + }, Jb = u._GreaterEqual = function() { + return (Jb = u._GreaterEqual = u.asm.GreaterEqual).apply(null, arguments); + }, eC = u._IsFinite = function() { + return (eC = u._IsFinite = u.asm.IsFinite).apply(null, arguments); + }, tC = u._IsInf = function() { + return (tC = u._IsInf = u.asm.IsInf).apply(null, arguments); + }, rC = u._IsNan = function() { + return (rC = u._IsNan = u.asm.IsNan).apply(null, arguments); + }, oC = u._LRN = function() { + return (oC = u._LRN = u.asm.LRN).apply(null, arguments); + }, nC = u._LRNGrad = function() { + return (nC = u._LRNGrad = u.asm.LRNGrad).apply(null, arguments); + }, sC = u._LeakyRelu = function() { + return (sC = u._LeakyRelu = u.asm.LeakyRelu).apply(null, arguments); + }, aC = u._Less = function() { + return (aC = u._Less = u.asm.Less).apply(null, arguments); + }, iC = u._LessEqual = function() { + return (iC = u._LessEqual = u.asm.LessEqual).apply(null, arguments); + }, uC = u._LinSpace = function() { + return (uC = u._LinSpace = u.asm.LinSpace).apply(null, arguments); + }, pC = u._Log = function() { + return (pC = u._Log = u.asm.Log).apply(null, arguments); + }, cC = u._Log1p = function() { + return (cC = u._Log1p = u.asm.Log1p).apply(null, arguments); + }, lC = u._LogicalAnd = function() { + return (lC = u._LogicalAnd = u.asm.LogicalAnd).apply(null, arguments); + }, mC = u._LogicalNot = function() { + return (mC = u._LogicalNot = u.asm.LogicalNot).apply(null, arguments); + }, dC = u._LogicalOr = function() { + return (dC = u._LogicalOr = u.asm.LogicalOr).apply(null, arguments); + }, fC = u._LogicalXor = function() { + return (fC = u._LogicalXor = u.asm.LogicalXor).apply(null, arguments); + }, hC = u._Max = function() { + return (hC = u._Max = u.asm.Max).apply(null, arguments); + }, gC = u._MaxPool = function() { + return (gC = u._MaxPool = u.asm.MaxPool).apply(null, arguments); + }, xC = u._MaxPool3D = function() { + return (xC = u._MaxPool3D = u.asm.MaxPool3D).apply(null, arguments); + }, yC = u._MaxPool3DGrad = function() { + return (yC = u._MaxPool3DGrad = u.asm.MaxPool3DGrad).apply(null, arguments); + }, bC = u._Maximum = function() { + return (bC = u._Maximum = u.asm.Maximum).apply(null, arguments); + }, CC = u._Mean = function() { + return (CC = u._Mean = u.asm.Mean).apply(null, arguments); + }, wC = u._Min = function() { + return (wC = u._Min = u.asm.Min).apply(null, arguments); + }, SC = u._Minimum = function() { + return (SC = u._Minimum = u.asm.Minimum).apply(null, arguments); + }, IC = u._MirrorPad = function() { + return (IC = u._MirrorPad = u.asm.MirrorPad).apply(null, arguments); + }, vC = u._Multinomial = function() { + return (vC = u._Multinomial = u.asm.Multinomial).apply(null, arguments); + }, kC = u._Multiply = function() { + return (kC = u._Multiply = u.asm.Multiply).apply(null, arguments); + }, NC = u._Neg = function() { + return (NC = u._Neg = u.asm.Neg).apply(null, arguments); + }, TC = u._NonMaxSuppressionV3 = function() { + return (TC = u._NonMaxSuppressionV3 = u.asm.NonMaxSuppressionV3).apply(null, arguments); + }, Am = u._NonMaxSuppressionV4 = function() { + return (Am = u._NonMaxSuppressionV4 = u.asm.NonMaxSuppressionV4).apply(null, arguments); + }, Fm = u._NonMaxSuppressionV5 = function() { + return (Fm = u._NonMaxSuppressionV5 = u.asm.NonMaxSuppressionV5).apply(null, arguments); + }, il = u._NotEqual = function() { + return (il = u._NotEqual = u.asm.NotEqual).apply(null, arguments); + }, _C = u._OneHot = function() { + return (_C = u._OneHot = u.asm.OneHot).apply(null, arguments); + }, $C = u._PadV2 = function() { + return ($C = u._PadV2 = u.asm.PadV2).apply(null, arguments); + }, Pp = u._Pow = function() { + return (Pp = u._Pow = u.asm.Pow).apply(null, arguments); + }, Pm = u._Prelu = function() { + return (Pm = u._Prelu = u.asm.Prelu).apply(null, arguments); + }, Op = u._Prod = function() { + return (Op = u._Prod = u.asm.Prod).apply(null, arguments); + }, Mp = u._RealDiv = function() { + return (Mp = u._RealDiv = u.asm.RealDiv).apply(null, arguments); + }, EC = u._Reciprocal = function() { + return (EC = u._Reciprocal = u.asm.Reciprocal).apply(null, arguments); + }, G = u._Relu = function() { + return (G = u._Relu = u.asm.Relu).apply(null, arguments); + }, ae = u._Relu6 = function() { + return (ae = u._Relu6 = u.asm.Relu6).apply(null, arguments); + }, $e = u._ResizeBilinear = function() { + return ($e = u._ResizeBilinear = u.asm.ResizeBilinear).apply(null, arguments); + }, at = u._ResizeBilinearGrad = function() { + return (at = u._ResizeBilinearGrad = u.asm.ResizeBilinearGrad).apply(null, arguments); + }, _t = u._ResizeNearestNeighbor = function() { + return (_t = u._ResizeNearestNeighbor = u.asm.ResizeNearestNeighbor).apply(null, arguments); + }, $t = u._ResizeNearestNeighborGrad = function() { + return ($t = u._ResizeNearestNeighborGrad = u.asm.ResizeNearestNeighborGrad).apply(null, arguments); + }, Xe = u._Reverse = function() { + return (Xe = u._Reverse = u.asm.Reverse).apply(null, arguments); + }, Ge = u._RotateWithOffset = function() { + return (Ge = u._RotateWithOffset = u.asm.RotateWithOffset).apply(null, arguments); + }, Gt = u._Round = function() { + return (Gt = u._Round = u.asm.Round).apply(null, arguments); + }, eo = u._Rsqrt = function() { + return (eo = u._Rsqrt = u.asm.Rsqrt).apply(null, arguments); + }, Ma = u._ScatterNd = function() { + return (Ma = u._ScatterNd = u.asm.ScatterNd).apply(null, arguments); + }, Om = u._SearchSorted = function() { + return (Om = u._SearchSorted = u.asm.SearchSorted).apply(null, arguments); + }, ul = u._SelectV2 = function() { + return (ul = u._SelectV2 = u.asm.SelectV2).apply(null, arguments); + }, RC = u._Selu = function() { + return (RC = u._Selu = u.asm.Selu).apply(null, arguments); + }, yr = u._Sigmoid = function() { + return (yr = u._Sigmoid = u.asm.Sigmoid).apply(null, arguments); + }, Ii = u._Sign = function() { + return (Ii = u._Sign = u.asm.Sign).apply(null, arguments); + }, Mm = u._Sin = function() { + return (Mm = u._Sin = u.asm.Sin).apply(null, arguments); + }, aU = u._Softmax = function() { + return (aU = u._Softmax = u.asm.Softmax).apply(null, arguments); + }, iU = u._Softplus = function() { + return (iU = u._Softplus = u.asm.Softplus).apply(null, arguments); + }, uU = u._SparseFillEmptyRows = function() { + return (uU = u._SparseFillEmptyRows = u.asm.SparseFillEmptyRows).apply(null, arguments); + }, pU = u._SparseReshape = function() { + return (pU = u._SparseReshape = u.asm.SparseReshape).apply(null, arguments); + }, cU = u._SparseSegmentReduction = function() { + return (cU = u._SparseSegmentReduction = u.asm.SparseSegmentReduction).apply(null, arguments); + }, lU = u._SparseToDense = function() { + return (lU = u._SparseToDense = u.asm.SparseToDense).apply(null, arguments); + }, mU = u._Sqrt = function() { + return (mU = u._Sqrt = u.asm.Sqrt).apply(null, arguments); + }, dU = u._Square = function() { + return (dU = u._Square = u.asm.Square).apply(null, arguments); + }, fU = u._SquaredDifference = function() { + return (fU = u._SquaredDifference = u.asm.SquaredDifference).apply(null, arguments); + }, hU = u._Step = function() { + return (hU = u._Step = u.asm.Step).apply(null, arguments); + }, gU = u._StridedSlice = function() { + return (gU = u._StridedSlice = u.asm.StridedSlice).apply(null, arguments); + }, xU = u._Sub = function() { + return (xU = u._Sub = u.asm.Sub).apply(null, arguments); + }, yU = u._Sum = function() { + return (yU = u._Sum = u.asm.Sum).apply(null, arguments); + }, bU = u._Tan = function() { + return (bU = u._Tan = u.asm.Tan).apply(null, arguments); + }, CU = u._Tanh = function() { + return (CU = u._Tanh = u.asm.Tanh).apply(null, arguments); + }, wU = u._TensorScatterUpdate = function() { + return (wU = u._TensorScatterUpdate = u.asm.TensorScatterUpdate).apply(null, arguments); + }, SU = u._Tile = function() { + return (SU = u._Tile = u.asm.Tile).apply(null, arguments); + }, IU = u._TopK = function() { + return (IU = u._TopK = u.asm.TopK).apply(null, arguments); + }, vU = u._Transform = function() { + return (vU = u._Transform = u.asm.Transform).apply(null, arguments); + }, kU = u._Transpose = function() { + return (kU = u._Transpose = u.asm.Transpose).apply(null, arguments); + }, NU = u.__FusedMatMul = function() { + return (NU = u.__FusedMatMul = u.asm._FusedMatMul).apply(null, arguments); + }, TU = u._malloc = function() { + return (TU = u._malloc = u.asm.malloc).apply(null, arguments); + }, _U = u._free = function() { + return (_U = u._free = u.asm.free).apply(null, arguments); + }, $U = u.__emscripten_tls_init = function() { + return ($U = u.__emscripten_tls_init = u.asm._emscripten_tls_init).apply(null, arguments); + }, Lm = u._pthread_self = function() { + return (Lm = u._pthread_self = u.asm.pthread_self).apply(null, arguments); + }, EU = u.___errno_location = function() { + return (EU = u.___errno_location = u.asm.__errno_location).apply(null, arguments); + }, Zv = u.__emscripten_thread_init = function() { + return (Zv = u.__emscripten_thread_init = u.asm._emscripten_thread_init).apply(null, arguments); + }, RU = u.__emscripten_thread_crashed = function() { + return (RU = u.__emscripten_thread_crashed = u.asm._emscripten_thread_crashed).apply(null, arguments); + }, DU = u._emscripten_main_thread_process_queued_calls = function() { + return (DU = u._emscripten_main_thread_process_queued_calls = u.asm.emscripten_main_thread_process_queued_calls).apply(null, arguments); + }, AU = u._emscripten_main_browser_thread_id = function() { + return (AU = u._emscripten_main_browser_thread_id = u.asm.emscripten_main_browser_thread_id).apply(null, arguments); + }, Jv = u._emscripten_run_in_main_runtime_thread_js = function() { + return (Jv = u._emscripten_run_in_main_runtime_thread_js = u.asm.emscripten_run_in_main_runtime_thread_js).apply(null, arguments); + }, FU = u._emscripten_dispatch_to_thread_ = function() { + return (FU = u._emscripten_dispatch_to_thread_ = u.asm.emscripten_dispatch_to_thread_).apply(null, arguments); + }, e0 = u.__emscripten_proxy_execute_task_queue = function() { + return (e0 = u.__emscripten_proxy_execute_task_queue = u.asm._emscripten_proxy_execute_task_queue).apply(null, arguments); + }, DC = u.__emscripten_thread_free_data = function() { + return (DC = u.__emscripten_thread_free_data = u.asm._emscripten_thread_free_data).apply(null, arguments); + }, t0 = u.__emscripten_thread_exit = function() { + return (t0 = u.__emscripten_thread_exit = u.asm._emscripten_thread_exit).apply(null, arguments); + }, r0 = u._emscripten_stack_set_limits = function() { + return (r0 = u._emscripten_stack_set_limits = u.asm.emscripten_stack_set_limits).apply(null, arguments); + }, AC = u.stackSave = function() { + return (AC = u.stackSave = u.asm.stackSave).apply(null, arguments); + }, Bm = u.stackRestore = function() { + return (Bm = u.stackRestore = u.asm.stackRestore).apply(null, arguments); + }, zm = u.stackAlloc = function() { + return (zm = u.stackAlloc = u.asm.stackAlloc).apply(null, arguments); + }, PU = u.dynCall_iijjiiii = function() { + return (PU = u.dynCall_iijjiiii = u.asm.dynCall_iijjiiii).apply(null, arguments); + }, OU = u.dynCall_jiji = function() { + return (OU = u.dynCall_jiji = u.asm.dynCall_jiji).apply(null, arguments); }; - u.keepRuntimeAlive = Do, u.wasmMemory = te, u.cwrap = dy, u.ExitStatus = qi, u.PThread = Oe; - var Cm; - ra = function F() { - Cm || VI(), Cm || (ra = F); + u.keepRuntimeAlive = Mo, u.wasmMemory = oe, u.cwrap = Ky, u.ExitStatus = Iu, u.PThread = Me; + var Vm; + Oa = function A() { + Vm || o0(), Vm || (Oa = A); }; - function VI(F) { - if (F = F || f, Ya > 0) + function o0(A) { + if (A = A || f, wi > 0) return; - if (w) { - c(u), qt(), startWorker(u); + if (S) { + c(u), Xt(), startWorker(u); return; } - if (hs(), Ya > 0) + if (Vs(), wi > 0) return; - function B() { - Cm || (Cm = true, u.calledRun = true, !ce && (qt(), c(u), u.onRuntimeInitialized && u.onRuntimeInitialized(), ta())); + function V() { + Vm || (Vm = true, u.calledRun = true, !le && (Xt(), c(u), u.onRuntimeInitialized && u.onRuntimeInitialized(), Pa())); } u.setStatus ? (u.setStatus("Running..."), setTimeout(function() { setTimeout(function() { u.setStatus(""); - }, 1), B(); - }, 1)) : B(); + }, 1), V(); + }, 1)) : V(); } if (u.preInit) for (typeof u.preInit == "function" && (u.preInit = [u.preInit]); u.preInit.length > 0; ) u.preInit.pop()(); - VI(); - var Sm; - m && (Sm = { uncaughtException: process.listeners("uncaughtException").filter(function(F) { - return !m.uncaughtException.indexOf(F) > -1; - }), unhandledRejection: process.listeners("unhandledRejection").filter(function(F) { - return !m.unhandledRejection.indexOf(F) > -1; + o0(); + var Wm; + m && (Wm = { uncaughtException: process.listeners("uncaughtException").filter(function(A) { + return !m.uncaughtException.indexOf(A) > -1; + }), unhandledRejection: process.listeners("unhandledRejection").filter(function(A) { + return !m.unhandledRejection.indexOf(A) > -1; }) }); - var wm; + var Um; if (typeof WasmBackendModule != "undefined") - wm = WasmBackendModule; + Um = WasmBackendModule; else if (typeof e != "undefined") - wm = e; + Um = e; else throw new Error("Could not find wasm module in post.js"); - if (Sm) { - var FV = wm._dispose; - wm._dispose = function() { - FV(), Sm.uncaughtException.forEach(function(F) { - process.removeListener("uncaughtException", F); - }), Sm.unhandledRejection.forEach(function(F) { - process.removeListener("unhandledRejection", F); + if (Wm) { + var MU = Um._dispose; + Um._dispose = function() { + MU(), Wm.uncaughtException.forEach(function(A) { + process.removeListener("uncaughtException", A); + }), Wm.unhandledRejection.forEach(function(A) { + process.removeListener("unhandledRejection", A); }); }; } return e.ready; }; })(); - typeof wg == "object" && typeof aI == "object" ? aI.exports = sI : typeof define == "function" && define.amd ? define([], function() { - return sI; - }) : typeof wg == "object" && (wg.WasmBackendModuleThreadedSimd = sI); + typeof Bg == "object" && typeof kv == "object" ? kv.exports = vv : typeof define == "function" && define.amd ? define([], function() { + return vv; + }) : typeof Bg == "object" && (Bg.WasmBackendModuleThreadedSimd = vv); }); -var w3 = Kt((a1t, S3) => { - S3.exports.wasmWorkerContents = `"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +var oB = qt((tAt, rB) => { + rB.exports.wasmWorkerContents = `"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" ");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`; }); -var I3 = Kt((Ig, uI) => { - var iI = (() => { +var nB = qt((zg, Tv) => { + var Nv = (() => { var r = typeof document != "undefined" && document.currentScript ? document.currentScript.src : void 0; return typeof __filename != "undefined" && (r = r || __filename), function(e) { e = e || {}; var t10 = typeof e != "undefined" ? e : {}, o, n; - t10.ready = new Promise(function(G, se) { - o = G, n = se; + t10.ready = new Promise(function(G, ae) { + o = G, n = ae; }); var s; typeof process != "undefined" && process.listeners && (s = { uncaughtException: process.listeners("uncaughtException"), unhandledRejection: process.listeners("unhandledRejection") }); - var a = Object.assign({}, t10), i = [], p = "./this.program", u = (G, se) => { - throw se; + var a = Object.assign({}, t10), i = [], p = "./this.program", u = (G, ae) => { + throw ae; }, c = typeof window == "object", l = typeof importScripts == "function", m = typeof process == "object" && typeof process.versions == "object" && typeof process.versions.node == "string", d = ""; function f(G) { return t10.locateFile ? t10.locateFile(G, d) : d + G; } var h, g, x, b; - function C(G) { - if (G instanceof Ju) + function w(G) { + if (G instanceof Dp) return; E("exiting due to exception: " + G); } if (m) { - var w = oI(), k = nI(); - l ? d = k.dirname(d) + "/" : d = __dirname + "/", h = (G, se) => (G = hs(G) ? new URL(G) : k.normalize(G), w.readFileSync(G, se ? void 0 : "utf8")), x = (G) => { - var se = h(G, true); - return se.buffer || (se = new Uint8Array(se)), se; - }, g = (G, se, Te) => { - G = hs(G) ? new URL(G) : k.normalize(G), w.readFile(G, function(nt, Tt) { - nt ? Te(nt) : se(Tt.buffer); + var S = Sv(), k = Iv(); + l ? d = k.dirname(d) + "/" : d = __dirname + "/", h = (G, ae) => (G = Vs(G) ? new URL(G) : k.normalize(G), S.readFileSync(G, ae ? void 0 : "utf8")), x = (G) => { + var ae = h(G, true); + return ae.buffer || (ae = new Uint8Array(ae)), ae; + }, g = (G, ae, $e) => { + G = Vs(G) ? new URL(G) : k.normalize(G), S.readFile(G, function(at, _t) { + at ? $e(at) : ae(_t.buffer); }); }, process.argv.length > 1 && (p = process.argv[1].replace(/\\/g, "/")), i = process.argv.slice(2), process.on("uncaughtException", function(G) { - if (!(G instanceof Ju)) + if (!(G instanceof Dp)) throw G; }), process.on("unhandledRejection", function(G) { throw G; - }), u = (G, se) => { - if (at()) - throw process.exitCode = G, se; - C(se), process.exit(G); + }), u = (G, ae) => { + if (it()) + throw process.exitCode = G, ae; + w(ae), process.exit(G); }, t10.inspect = function() { return "[Emscripten Module object]"; }; } else (c || l) && (l ? d = self.location.href : typeof document != "undefined" && document.currentScript && (d = document.currentScript.src), r && (d = r), d.indexOf("blob:") !== 0 ? d = d.substr(0, d.replace(/[?#].*/, "").lastIndexOf("/") + 1) : d = "", h = (G) => { - var se = new XMLHttpRequest(); - return se.open("GET", G, false), se.send(null), se.responseText; + var ae = new XMLHttpRequest(); + return ae.open("GET", G, false), ae.send(null), ae.responseText; }, l && (x = (G) => { - var se = new XMLHttpRequest(); - return se.open("GET", G, false), se.responseType = "arraybuffer", se.send(null), new Uint8Array(se.response); - }), g = (G, se, Te) => { - var nt = new XMLHttpRequest(); - nt.open("GET", G, true), nt.responseType = "arraybuffer", nt.onload = () => { - if (nt.status == 200 || nt.status == 0 && nt.response) { - se(nt.response); + var ae = new XMLHttpRequest(); + return ae.open("GET", G, false), ae.responseType = "arraybuffer", ae.send(null), new Uint8Array(ae.response); + }), g = (G, ae, $e) => { + var at = new XMLHttpRequest(); + at.open("GET", G, true), at.responseType = "arraybuffer", at.onload = () => { + if (at.status == 200 || at.status == 0 && at.response) { + ae(at.response); return; } - Te(); - }, nt.onerror = Te, nt.send(null); + $e(); + }, at.onerror = $e, at.send(null); }, b = (G) => document.title = G); var _ = t10.print || console.log.bind(console), E = t10.printErr || console.warn.bind(console); Object.assign(t10, a), a = null, t10.arguments && (i = t10.arguments), t10.thisProgram && (p = t10.thisProgram), t10.quit && (u = t10.quit); - var A = 4, R; - t10.wasmBinary && (R = t10.wasmBinary); - var D = t10.noExitRuntime || true; - typeof WebAssembly != "object" && cr("no native wasm support detected"); - var P, M = false, L; - function V(G, se) { - G || cr(se); + var R = 4, D; + t10.wasmBinary && (D = t10.wasmBinary); + var F = t10.noExitRuntime || true; + typeof WebAssembly != "object" && fr("no native wasm support detected"); + var O, M = false, L; + function B(G, ae) { + G || fr(ae); } var z = typeof TextDecoder != "undefined" ? new TextDecoder("utf8") : void 0; - function U(G, se, Te) { - for (var nt = se + Te, Tt = se; G[Tt] && !(Tt >= nt); ) - ++Tt; - if (Tt - se > 16 && G.buffer && z) - return z.decode(G.subarray(se, Tt)); - for (var _t = ""; se < Tt; ) { - var qe = G[se++]; - if (!(qe & 128)) { - _t += String.fromCharCode(qe); + function U(G, ae, $e) { + ae >>>= 0; + for (var at = ae + $e, _t = ae; G[_t] && !(_t >= at); ) + ++_t; + if (_t - ae > 16 && G.buffer && z) + return z.decode(G.subarray(ae, _t)); + for (var $t = ""; ae < _t; ) { + var Xe = G[ae++]; + if (!(Xe & 128)) { + $t += String.fromCharCode(Xe); continue; } - var Ue = G[se++] & 63; - if ((qe & 224) == 192) { - _t += String.fromCharCode((qe & 31) << 6 | Ue); + var Ge = G[ae++] & 63; + if ((Xe & 224) == 192) { + $t += String.fromCharCode((Xe & 31) << 6 | Ge); continue; } - var Wt = G[se++] & 63; - if ((qe & 240) == 224 ? qe = (qe & 15) << 12 | Ue << 6 | Wt : qe = (qe & 7) << 18 | Ue << 12 | Wt << 6 | G[se++] & 63, qe < 65536) - _t += String.fromCharCode(qe); + var Gt = G[ae++] & 63; + if ((Xe & 240) == 224 ? Xe = (Xe & 15) << 12 | Ge << 6 | Gt : Xe = (Xe & 7) << 18 | Ge << 12 | Gt << 6 | G[ae++] & 63, Xe < 65536) + $t += String.fromCharCode(Xe); else { - var Yr = qe - 65536; - _t += String.fromCharCode(55296 | Yr >> 10, 56320 | Yr & 1023); + var eo = Xe - 65536; + $t += String.fromCharCode(55296 | eo >> 10, 56320 | eo & 1023); } } - return _t; + return $t; } - function K(G, se) { - return G ? U(oe, G, se) : ""; + function j(G, ae) { + return G >>>= 0, G ? U(ne, G, ae) : ""; } - function H(G, se, Te, nt) { - if (!(nt > 0)) + function H(G, ae, $e, at) { + if ($e >>>= 0, !(at > 0)) return 0; - for (var Tt = Te, _t = Te + nt - 1, qe = 0; qe < G.length; ++qe) { - var Ue = G.charCodeAt(qe); - if (Ue >= 55296 && Ue <= 57343) { - var Wt = G.charCodeAt(++qe); - Ue = 65536 + ((Ue & 1023) << 10) | Wt & 1023; + for (var _t = $e, $t = $e + at - 1, Xe = 0; Xe < G.length; ++Xe) { + var Ge = G.charCodeAt(Xe); + if (Ge >= 55296 && Ge <= 57343) { + var Gt = G.charCodeAt(++Xe); + Ge = 65536 + ((Ge & 1023) << 10) | Gt & 1023; } - if (Ue <= 127) { - if (Te >= _t) + if (Ge <= 127) { + if ($e >= $t) break; - se[Te++] = Ue; - } else if (Ue <= 2047) { - if (Te + 1 >= _t) + ae[$e++ >>> 0] = Ge; + } else if (Ge <= 2047) { + if ($e + 1 >= $t) break; - se[Te++] = 192 | Ue >> 6, se[Te++] = 128 | Ue & 63; - } else if (Ue <= 65535) { - if (Te + 2 >= _t) + ae[$e++ >>> 0] = 192 | Ge >> 6, ae[$e++ >>> 0] = 128 | Ge & 63; + } else if (Ge <= 65535) { + if ($e + 2 >= $t) break; - se[Te++] = 224 | Ue >> 12, se[Te++] = 128 | Ue >> 6 & 63, se[Te++] = 128 | Ue & 63; + ae[$e++ >>> 0] = 224 | Ge >> 12, ae[$e++ >>> 0] = 128 | Ge >> 6 & 63, ae[$e++ >>> 0] = 128 | Ge & 63; } else { - if (Te + 3 >= _t) + if ($e + 3 >= $t) break; - se[Te++] = 240 | Ue >> 18, se[Te++] = 128 | Ue >> 12 & 63, se[Te++] = 128 | Ue >> 6 & 63, se[Te++] = 128 | Ue & 63; + ae[$e++ >>> 0] = 240 | Ge >> 18, ae[$e++ >>> 0] = 128 | Ge >> 12 & 63, ae[$e++ >>> 0] = 128 | Ge >> 6 & 63, ae[$e++ >>> 0] = 128 | Ge & 63; } } - return se[Te] = 0, Te - Tt; + return ae[$e >>> 0] = 0, $e - _t; } - function q(G, se, Te) { - return H(G, oe, se, Te); + function X(G, ae, $e) { + return H(G, ne, ae, $e); } - var Z, ee, oe, J, te, ie, ce, ye, Ne; - function Ie(G) { - Z = G, t10.HEAP8 = ee = new Int8Array(G), t10.HEAP16 = J = new Int16Array(G), t10.HEAP32 = ie = new Int32Array(G), t10.HEAPU8 = oe = new Uint8Array(G), t10.HEAPU16 = te = new Uint16Array(G), t10.HEAPU32 = ce = new Uint32Array(G), t10.HEAPF32 = ye = new Float32Array(G), t10.HEAPF64 = Ne = new Float64Array(G); + var J, re, ne, ee, oe, ie, le, ye, _e; + function ve(G) { + J = G, t10.HEAP8 = re = new Int8Array(G), t10.HEAP16 = ee = new Int16Array(G), t10.HEAP32 = ie = new Int32Array(G), t10.HEAPU8 = ne = new Uint8Array(G), t10.HEAPU16 = oe = new Uint16Array(G), t10.HEAPU32 = le = new Uint32Array(G), t10.HEAPF32 = ye = new Float32Array(G), t10.HEAPF64 = _e = new Float64Array(G); } - var Ae = t10.INITIAL_MEMORY || 16777216, Re, ot = [], pt = [], ze = [], ct = false; - function at() { - return D; - } - function ft() { - if (t10.preRun) - for (typeof t10.preRun == "function" && (t10.preRun = [t10.preRun]); t10.preRun.length; ) - Pt(t10.preRun.shift()); - ra(ot); + var Fe = t10.INITIAL_MEMORY || 16777216, Pe, st = [], lt = [], We = [], mt = false; + function it() { + return F; } function ht() { - ct = true, ra(pt); + if (t10.preRun) + for (typeof t10.preRun == "function" && (t10.preRun = [t10.preRun]); t10.preRun.length; ) + Mt(t10.preRun.shift()); + Oa(st); } - function Rr() { + function gt() { + mt = true, Oa(lt); + } + function Or() { if (t10.postRun) for (typeof t10.postRun == "function" && (t10.postRun = [t10.postRun]); t10.postRun.length; ) - er(t10.postRun.shift()); - ra(ze); + or(t10.postRun.shift()); + Oa(We); } - function Pt(G) { - ot.unshift(G); + function Mt(G) { + st.unshift(G); } - function qr(G) { - pt.unshift(G); + function Qr(G) { + lt.unshift(G); } - function er(G) { - ze.unshift(G); + function or(G) { + We.unshift(G); } - var Nt = 0, tr = null, rr = null; - function jr(G) { - Nt++, t10.monitorRunDependencies && t10.monitorRunDependencies(Nt); + var Tt = 0, nr = null, sr = null; + function Zr(G) { + Tt++, t10.monitorRunDependencies && t10.monitorRunDependencies(Tt); } - function Xr(G) { - if (Nt--, t10.monitorRunDependencies && t10.monitorRunDependencies(Nt), Nt == 0 && (tr !== null && (clearInterval(tr), tr = null), rr)) { - var se = rr; - rr = null, se(); + function Jr(G) { + if (Tt--, t10.monitorRunDependencies && t10.monitorRunDependencies(Tt), Tt == 0 && (nr !== null && (clearInterval(nr), nr = null), sr)) { + var ae = sr; + sr = null, ae(); } } - function cr(G) { + function fr(G) { t10.onAbort && t10.onAbort(G), G = "Aborted(" + G + ")", E(G), M = true, L = 1, G += ". Build with -sASSERTIONS for more info."; - var se = new WebAssembly.RuntimeError(G); - throw n(se), se; + var ae = new WebAssembly.RuntimeError(G); + throw n(ae), ae; } - var ea = "data:application/octet-stream;base64,"; - function Do(G) { - return G.startsWith(ea); + var Fa = "data:application/octet-stream;base64,"; + function Mo(G) { + return G.startsWith(Fa); } - function hs(G) { + function Vs(G) { return G.startsWith("file://"); } - var qt; - qt = "tfjs-backend-wasm.wasm", Do(qt) || (qt = f(qt)); - function ta(G) { + var Xt; + Xt = "tfjs-backend-wasm.wasm", Mo(Xt) || (Xt = f(Xt)); + function Pa(G) { try { - if (G == qt && R) - return new Uint8Array(R); + if (G == Xt && D) + return new Uint8Array(D); if (x) return x(G); throw "both async and sync fetching of the wasm failed"; - } catch (se) { - cr(se); + } catch (ae) { + fr(ae); } } - function Dc() { - if (!R && (c || l)) { - if (typeof fetch == "function" && !hs(qt)) - return fetch(qt, { credentials: "same-origin" }).then(function(G) { + function el() { + if (!D && (c || l)) { + if (typeof fetch == "function" && !Vs(Xt)) + return fetch(Xt, { credentials: "same-origin" }).then(function(G) { if (!G.ok) - throw "failed to load wasm binary file at '" + qt + "'"; + throw "failed to load wasm binary file at '" + Xt + "'"; return G.arrayBuffer(); }).catch(function() { - return ta(qt); + return Pa(Xt); }); if (g) - return new Promise(function(G, se) { - g(qt, function(Te) { - G(new Uint8Array(Te)); - }, se); + return new Promise(function(G, ae) { + g(Xt, function($e) { + G(new Uint8Array($e)); + }, ae); }); } return Promise.resolve().then(function() { - return ta(qt); + return Pa(Xt); }); } - function Fc() { - var G = { env: Oc, wasi_snapshot_preview1: Oc }; - function se(qe, Ue) { - var Wt = qe.exports; - t10.asm = Wt, P = t10.asm.memory, Ie(P.buffer), Re = t10.asm.__indirect_function_table, qr(t10.asm.__wasm_call_ctors), Xr("wasm-instantiate"); + function tl() { + var G = { env: rl, wasi_snapshot_preview1: rl }; + function ae(Xe, Ge) { + var Gt = Xe.exports; + t10.asm = Gt, O = t10.asm.memory, ve(O.buffer), Pe = t10.asm.__indirect_function_table, Qr(t10.asm.__wasm_call_ctors), Jr("wasm-instantiate"); } - jr("wasm-instantiate"); - function Te(qe) { - se(qe.instance); + Zr("wasm-instantiate"); + function $e(Xe) { + ae(Xe.instance); } - function nt(qe) { - return Dc().then(function(Ue) { - return WebAssembly.instantiate(Ue, G); - }).then(function(Ue) { - return Ue; - }).then(qe, function(Ue) { - E("failed to asynchronously prepare wasm: " + Ue), cr(Ue); + function at(Xe) { + return el().then(function(Ge) { + return WebAssembly.instantiate(Ge, G); + }).then(function(Ge) { + return Ge; + }).then(Xe, function(Ge) { + E("failed to asynchronously prepare wasm: " + Ge), fr(Ge); }); } - function Tt() { - return !R && typeof WebAssembly.instantiateStreaming == "function" && !Do(qt) && !hs(qt) && !m && typeof fetch == "function" ? fetch(qt, { credentials: "same-origin" }).then(function(qe) { - var Ue = WebAssembly.instantiateStreaming(qe, G); - return Ue.then(Te, function(Wt) { - return E("wasm streaming compile failed: " + Wt), E("falling back to ArrayBuffer instantiation"), nt(Te); + function _t() { + return !D && typeof WebAssembly.instantiateStreaming == "function" && !Mo(Xt) && !Vs(Xt) && !m && typeof fetch == "function" ? fetch(Xt, { credentials: "same-origin" }).then(function(Xe) { + var Ge = WebAssembly.instantiateStreaming(Xe, G); + return Ge.then($e, function(Gt) { + return E("wasm streaming compile failed: " + Gt), E("falling back to ArrayBuffer instantiation"), at($e); }); - }) : nt(Te); + }) : at($e); } if (t10.instantiateWasm) try { - var _t = t10.instantiateWasm(G, se); - return _t; - } catch (qe) { - E("Module.instantiateWasm callback failed with error: " + qe), n(qe); + var $t = t10.instantiateWasm(G, ae); + return $t; + } catch (Xe) { + E("Module.instantiateWasm callback failed with error: " + Xe), n(Xe); } - return Tt().catch(n), {}; + return _t().catch(n), {}; } - var AI, Ya; - function Ju(G) { + var jv, wi; + function Dp(G) { this.name = "ExitStatus", this.message = "Program terminated with exit(" + G + ")", this.status = G; } - function ra(G) { + function Oa(G) { for (; G.length > 0; ) G.shift()(t10); } - function Rx() { - cr(""); + function ly() { + fr(""); } - function Yl() { - return 2147483648; + function xm() { + return 4294901760; } - function Ki() { - return Yl(); + function Su() { + return xm(); } - function Dx(G, se, Te) { - oe.copyWithin(G, se, se + Te); + function my(G, ae, $e) { + ne.copyWithin(G >>> 0, ae >>> 0, ae + $e >>> 0); } - function Ql(G) { + function ym(G) { try { - return P.grow(G - Z.byteLength + 65535 >>> 16), Ie(P.buffer), 1; - } catch (se) { + return O.grow(G - J.byteLength + 65535 >>> 16), ve(O.buffer), 1; + } catch (ae) { } } - function ep(G) { - var se = oe.length; + function Ap(G) { + var ae = ne.length; G = G >>> 0; - var Te = Yl(); - if (G > Te) + var $e = xm(); + if (G > $e) return false; - let nt = (Wt, Yr) => Wt + (Yr - Wt % Yr) % Yr; - for (var Tt = 1; Tt <= 4; Tt *= 2) { - var _t = se * (1 + 0.2 / Tt); - _t = Math.min(_t, G + 100663296); - var qe = Math.min(Te, nt(Math.max(G, _t), 65536)), Ue = Ql(qe); - if (Ue) + let at = (Gt, eo) => Gt + (eo - Gt % eo) % eo; + for (var _t = 1; _t <= 4; _t *= 2) { + var $t = ae * (1 + 0.2 / _t); + $t = Math.min($t, G + 100663296); + var Xe = Math.min($e, at(Math.max(G, $t), 65536)), Ge = ym(Xe); + if (Ge) return true; } return false; } - var lr = { varargs: void 0, get: function() { - lr.varargs += 4; - var G = ie[lr.varargs - 4 >> 2]; + var hr = { varargs: void 0, get: function() { + hr.varargs += 4; + var G = ie[hr.varargs - 4 >>> 2]; return G; }, getStr: function(G) { - var se = K(G); - return se; + var ae = j(G); + return ae; } }; - function Zl(G) { + function bm(G) { return 52; } - function Fx(G, se, Te, nt, Tt) { + function dy(G, ae, $e, at, _t) { return 70; } - var Ox = [null, [], []]; - function RI(G, se) { - var Te = Ox[G]; - se === 0 || se === 10 ? ((G === 1 ? _ : E)(U(Te, 0)), Te.length = 0) : Te.push(se); + var fy = [null, [], []]; + function Xv(G, ae) { + var $e = fy[G]; + ae === 0 || ae === 10 ? ((G === 1 ? _ : E)(U($e, 0)), $e.length = 0) : $e.push(ae); } - function DI(G, se, Te, nt) { - for (var Tt = 0, _t = 0; _t < Te; _t++) { - var qe = ce[se >> 2], Ue = ce[se + 4 >> 2]; - se += 8; - for (var Wt = 0; Wt < Ue; Wt++) - RI(G, oe[qe + Wt]); - Tt += Ue; + function Yv(G, ae, $e, at) { + for (var _t = 0, $t = 0; $t < $e; $t++) { + var Xe = le[ae >>> 2], Ge = le[ae + 4 >>> 2]; + ae += 8; + for (var Gt = 0; Gt < Ge; Gt++) + Xv(G, ne[Xe + Gt >>> 0]); + _t += Ge; } - return ce[nt >> 2] = Tt, 0; + return le[at >>> 2] = _t, 0; } - function Jl(G) { - var se = t10["_" + G]; - return se; + function Cm(G) { + var ae = t10["_" + G]; + return ae; } - function qi(G, se) { - ee.set(G, se); + function Iu(G, ae) { + re.set(G, ae >>> 0); } - function Px(G, se, Te, nt, Tt) { - var _t = { string: (hr) => { - var Za = 0; - if (hr != null && hr !== 0) { - var gm = (hr.length << 2) + 1; - Za = Vc(gm), q(hr, Za, gm); + function hy(G, ae, $e, at, _t) { + var $t = { string: (yr) => { + var Ii = 0; + if (yr != null && yr !== 0) { + var Mm = (yr.length << 2) + 1; + Ii = il(Mm), X(yr, Ii, Mm); } - return Za; - }, array: (hr) => { - var Za = Vc(hr.length); - return qi(hr, Za), Za; + return Ii; + }, array: (yr) => { + var Ii = il(yr.length); + return Iu(yr, Ii), Ii; } }; - function qe(hr) { - return se === "string" ? K(hr) : se === "boolean" ? !!hr : hr; + function Xe(yr) { + return ae === "string" ? j(yr) : ae === "boolean" ? !!yr : yr; } - var Ue = Jl(G), Wt = [], Yr = 0; - if (nt) - for (var oa = 0; oa < nt.length; oa++) { - var hm = _t[Te[oa]]; - hm ? (Yr === 0 && (Yr = mm()), Wt[oa] = hm(nt[oa])) : Wt[oa] = nt[oa]; + var Ge = Cm(G), Gt = [], eo = 0; + if (at) + for (var Ma = 0; Ma < at.length; Ma++) { + var Om = $t[$e[Ma]]; + Om ? (eo === 0 && (eo = Am()), Gt[Ma] = Om(at[Ma])) : Gt[Ma] = at[Ma]; } - var zc = Ue.apply(null, Wt); - function fb(hr) { - return Yr !== 0 && dm(Yr), qe(hr); + var ul = Ge.apply(null, Gt); + function RC(yr) { + return eo !== 0 && Fm(eo), Xe(yr); } - return zc = fb(zc), zc; + return ul = RC(ul), ul; } - function Mx(G, se, Te, nt) { - Te = Te || []; - var Tt = Te.every((qe) => qe === "number" || qe === "boolean"), _t = se !== "string"; - return _t && Tt && !nt ? Jl(G) : function() { - return Px(G, se, Te, arguments, nt); + function gy(G, ae, $e, at) { + $e = $e || []; + var _t = $e.every((Xe) => Xe === "number" || Xe === "boolean"), $t = ae !== "string"; + return $t && _t && !at ? Cm(G) : function() { + return hy(G, ae, $e, arguments, at); }; } - var Oc = { abort: Rx, emscripten_get_heap_max: Ki, emscripten_memcpy_big: Dx, emscripten_resize_heap: ep, fd_close: Zl, fd_seek: Fx, fd_write: DI }, Lx = Fc(), em = t10.___wasm_call_ctors = function() { - return (em = t10.___wasm_call_ctors = t10.asm.__wasm_call_ctors).apply(null, arguments); - }, tm = t10._init = function() { - return (tm = t10._init = t10.asm.init).apply(null, arguments); - }, Bx = t10._init_with_threads_count = function() { - return (Bx = t10._init_with_threads_count = t10.asm.init_with_threads_count).apply(null, arguments); - }, rm = t10._get_threads_count = function() { - return (rm = t10._get_threads_count = t10.asm.get_threads_count).apply(null, arguments); - }, Vx = t10._register_tensor = function() { - return (Vx = t10._register_tensor = t10.asm.register_tensor).apply(null, arguments); - }, Oe = t10._dispose_data = function() { - return (Oe = t10._dispose_data = t10.asm.dispose_data).apply(null, arguments); - }, Pc = t10._dispose = function() { - return (Pc = t10._dispose = t10.asm.dispose).apply(null, arguments); - }, zx = t10._Abs = function() { - return (zx = t10._Abs = t10.asm.Abs).apply(null, arguments); - }, om = t10._Add = function() { - return (om = t10._Add = t10.asm.Add).apply(null, arguments); - }, tp = t10._AddN = function() { - return (tp = t10._AddN = t10.asm.AddN).apply(null, arguments); - }, Wx = t10._All = function() { - return (Wx = t10._All = t10.asm.All).apply(null, arguments); - }, Ux = t10._Any = function() { - return (Ux = t10._Any = t10.asm.Any).apply(null, arguments); - }, Gx = t10._ArgMax = function() { - return (Gx = t10._ArgMax = t10.asm.ArgMax).apply(null, arguments); - }, Hx = t10._AvgPool = function() { - return (Hx = t10._AvgPool = t10.asm.AvgPool).apply(null, arguments); - }, Kx = t10._BatchMatMul = function() { - return (Kx = t10._BatchMatMul = t10.asm.BatchMatMul).apply(null, arguments); - }, nm = t10._Ceil = function() { - return (nm = t10._Ceil = t10.asm.Ceil).apply(null, arguments); - }, sm = t10._ClipByValue = function() { - return (sm = t10._ClipByValue = t10.asm.ClipByValue).apply(null, arguments); - }, qx = t10._Conv2D = function() { - return (qx = t10._Conv2D = t10.asm.Conv2D).apply(null, arguments); - }, jx = t10._Conv2DBackpropInput = function() { - return (jx = t10._Conv2DBackpropInput = t10.asm.Conv2DBackpropInput).apply(null, arguments); - }, Xx = t10._Cos = function() { - return (Xx = t10._Cos = t10.asm.Cos).apply(null, arguments); - }, Mc = t10._Cosh = function() { - return (Mc = t10._Cosh = t10.asm.Cosh).apply(null, arguments); - }, Yx = t10._CropAndResize = function() { - return (Yx = t10._CropAndResize = t10.asm.CropAndResize).apply(null, arguments); - }, Qx = t10._Cumprod = function() { - return (Qx = t10._Cumprod = t10.asm.Cumprod).apply(null, arguments); - }, Zx = t10._Cumsum = function() { - return (Zx = t10._Cumsum = t10.asm.Cumsum).apply(null, arguments); - }, ji = t10._DepthToSpace = function() { - return (ji = t10._DepthToSpace = t10.asm.DepthToSpace).apply(null, arguments); - }, Jx = t10._DepthwiseConv2dNative = function() { - return (Jx = t10._DepthwiseConv2dNative = t10.asm.DepthwiseConv2dNative).apply(null, arguments); - }, ey = t10._Elu = function() { - return (ey = t10._Elu = t10.asm.Elu).apply(null, arguments); - }, am = t10._Equal = function() { - return (am = t10._Equal = t10.asm.Equal).apply(null, arguments); - }, ty = t10._Exp = function() { - return (ty = t10._Exp = t10.asm.Exp).apply(null, arguments); - }, Lc = t10._FlipLeftRight = function() { - return (Lc = t10._FlipLeftRight = t10.asm.FlipLeftRight).apply(null, arguments); - }, ry = t10._Floor = function() { - return (ry = t10._Floor = t10.asm.Floor).apply(null, arguments); - }, oy = t10._FloorDiv = function() { - return (oy = t10._FloorDiv = t10.asm.FloorDiv).apply(null, arguments); - }, ny = t10._FusedBatchNorm = function() { - return (ny = t10._FusedBatchNorm = t10.asm.FusedBatchNorm).apply(null, arguments); - }, Qa = t10._FusedConv2D = function() { - return (Qa = t10._FusedConv2D = t10.asm.FusedConv2D).apply(null, arguments); - }, Bc = t10._FusedDepthwiseConv2D = function() { - return (Bc = t10._FusedDepthwiseConv2D = t10.asm.FusedDepthwiseConv2D).apply(null, arguments); - }, sy = t10._Gather = function() { - return (sy = t10._Gather = t10.asm.Gather).apply(null, arguments); - }, ay = t10._GatherNd = function() { - return (ay = t10._GatherNd = t10.asm.GatherNd).apply(null, arguments); - }, iy = t10._Greater = function() { - return (iy = t10._Greater = t10.asm.Greater).apply(null, arguments); - }, uy = t10._GreaterEqual = function() { - return (uy = t10._GreaterEqual = t10.asm.GreaterEqual).apply(null, arguments); - }, im = t10._IsNan = function() { - return (im = t10._IsNan = t10.asm.IsNan).apply(null, arguments); - }, um = t10._LeakyRelu = function() { - return (um = t10._LeakyRelu = t10.asm.LeakyRelu).apply(null, arguments); - }, py = t10._Less = function() { - return (py = t10._Less = t10.asm.Less).apply(null, arguments); - }, cy = t10._LessEqual = function() { - return (cy = t10._LessEqual = t10.asm.LessEqual).apply(null, arguments); - }, pm = t10._Log = function() { - return (pm = t10._Log = t10.asm.Log).apply(null, arguments); - }, cm = t10._LogicalAnd = function() { - return (cm = t10._LogicalAnd = t10.asm.LogicalAnd).apply(null, arguments); - }, ly = t10._LogicalNot = function() { - return (ly = t10._LogicalNot = t10.asm.LogicalNot).apply(null, arguments); - }, my = t10._LogicalOr = function() { - return (my = t10._LogicalOr = t10.asm.LogicalOr).apply(null, arguments); - }, dy = t10._LogicalXor = function() { - return (dy = t10._LogicalXor = t10.asm.LogicalXor).apply(null, arguments); - }, fy = t10._Max = function() { - return (fy = t10._Max = t10.asm.Max).apply(null, arguments); - }, lm = t10._MaxPool = function() { - return (lm = t10._MaxPool = t10.asm.MaxPool).apply(null, arguments); - }, FI = t10._Maximum = function() { - return (FI = t10._Maximum = t10.asm.Maximum).apply(null, arguments); - }, hy = t10._Mean = function() { - return (hy = t10._Mean = t10.asm.Mean).apply(null, arguments); - }, gy = t10._Min = function() { - return (gy = t10._Min = t10.asm.Min).apply(null, arguments); - }, xy = t10._Minimum = function() { - return (xy = t10._Minimum = t10.asm.Minimum).apply(null, arguments); - }, yy = t10._MirrorPad = function() { - return (yy = t10._MirrorPad = t10.asm.MirrorPad).apply(null, arguments); - }, by = t10._Multiply = function() { - return (by = t10._Multiply = t10.asm.Multiply).apply(null, arguments); - }, Cy = t10._Neg = function() { - return (Cy = t10._Neg = t10.asm.Neg).apply(null, arguments); - }, Sy = t10._NonMaxSuppressionV3 = function() { - return (Sy = t10._NonMaxSuppressionV3 = t10.asm.NonMaxSuppressionV3).apply(null, arguments); - }, wy = t10._NonMaxSuppressionV4 = function() { - return (wy = t10._NonMaxSuppressionV4 = t10.asm.NonMaxSuppressionV4).apply(null, arguments); - }, Iy = t10._NonMaxSuppressionV5 = function() { - return (Iy = t10._NonMaxSuppressionV5 = t10.asm.NonMaxSuppressionV5).apply(null, arguments); - }, vy = t10._NotEqual = function() { - return (vy = t10._NotEqual = t10.asm.NotEqual).apply(null, arguments); - }, ky = t10._OneHot = function() { - return (ky = t10._OneHot = t10.asm.OneHot).apply(null, arguments); - }, Ny = t10._PadV2 = function() { - return (Ny = t10._PadV2 = t10.asm.PadV2).apply(null, arguments); - }, Ty = t10._Pow = function() { - return (Ty = t10._Pow = t10.asm.Pow).apply(null, arguments); - }, _y = t10._Prelu = function() { - return (_y = t10._Prelu = t10.asm.Prelu).apply(null, arguments); - }, $y = t10._Prod = function() { - return ($y = t10._Prod = t10.asm.Prod).apply(null, arguments); - }, Ey = t10._RealDiv = function() { - return (Ey = t10._RealDiv = t10.asm.RealDiv).apply(null, arguments); - }, Ay = t10._Reciprocal = function() { - return (Ay = t10._Reciprocal = t10.asm.Reciprocal).apply(null, arguments); - }, Ry = t10._Relu = function() { - return (Ry = t10._Relu = t10.asm.Relu).apply(null, arguments); - }, Dy = t10._Relu6 = function() { - return (Dy = t10._Relu6 = t10.asm.Relu6).apply(null, arguments); - }, Fy = t10._ResizeBilinear = function() { - return (Fy = t10._ResizeBilinear = t10.asm.ResizeBilinear).apply(null, arguments); - }, Oy = t10._ResizeNearestNeighbor = function() { - return (Oy = t10._ResizeNearestNeighbor = t10.asm.ResizeNearestNeighbor).apply(null, arguments); - }, Py = t10._Reverse = function() { - return (Py = t10._Reverse = t10.asm.Reverse).apply(null, arguments); - }, My = t10._RotateWithOffset = function() { - return (My = t10._RotateWithOffset = t10.asm.RotateWithOffset).apply(null, arguments); - }, Ly = t10._Round = function() { - return (Ly = t10._Round = t10.asm.Round).apply(null, arguments); - }, By = t10._Rsqrt = function() { - return (By = t10._Rsqrt = t10.asm.Rsqrt).apply(null, arguments); - }, Vy = t10._ScatterNd = function() { - return (Vy = t10._ScatterNd = t10.asm.ScatterNd).apply(null, arguments); - }, zy = t10._SelectV2 = function() { - return (zy = t10._SelectV2 = t10.asm.SelectV2).apply(null, arguments); - }, Wy = t10._Sigmoid = function() { - return (Wy = t10._Sigmoid = t10.asm.Sigmoid).apply(null, arguments); - }, Uy = t10._Sin = function() { - return (Uy = t10._Sin = t10.asm.Sin).apply(null, arguments); - }, Gy = t10._Softmax = function() { - return (Gy = t10._Softmax = t10.asm.Softmax).apply(null, arguments); - }, Hy = t10._SparseFillEmptyRows = function() { - return (Hy = t10._SparseFillEmptyRows = t10.asm.SparseFillEmptyRows).apply(null, arguments); - }, Ky = t10._SparseReshape = function() { - return (Ky = t10._SparseReshape = t10.asm.SparseReshape).apply(null, arguments); - }, qy = t10._SparseSegmentReduction = function() { - return (qy = t10._SparseSegmentReduction = t10.asm.SparseSegmentReduction).apply(null, arguments); - }, jy = t10._Sqrt = function() { - return (jy = t10._Sqrt = t10.asm.Sqrt).apply(null, arguments); - }, Xy = t10._Square = function() { - return (Xy = t10._Square = t10.asm.Square).apply(null, arguments); - }, Yy = t10._SquaredDifference = function() { - return (Yy = t10._SquaredDifference = t10.asm.SquaredDifference).apply(null, arguments); - }, Qy = t10._Step = function() { - return (Qy = t10._Step = t10.asm.Step).apply(null, arguments); - }, Zy = t10._StridedSlice = function() { - return (Zy = t10._StridedSlice = t10.asm.StridedSlice).apply(null, arguments); - }, Jy = t10._Sub = function() { - return (Jy = t10._Sub = t10.asm.Sub).apply(null, arguments); - }, eb = t10._Sum = function() { - return (eb = t10._Sum = t10.asm.Sum).apply(null, arguments); - }, tb = t10._Tan = function() { - return (tb = t10._Tan = t10.asm.Tan).apply(null, arguments); - }, rb = t10._Tanh = function() { - return (rb = t10._Tanh = t10.asm.Tanh).apply(null, arguments); - }, ob = t10._Tile = function() { - return (ob = t10._Tile = t10.asm.Tile).apply(null, arguments); - }, nb = t10._TopK = function() { - return (nb = t10._TopK = t10.asm.TopK).apply(null, arguments); - }, sb = t10._Transform = function() { - return (sb = t10._Transform = t10.asm.Transform).apply(null, arguments); - }, ab = t10._Transpose = function() { - return (ab = t10._Transpose = t10.asm.Transpose).apply(null, arguments); - }, ib = t10.__FusedMatMul = function() { - return (ib = t10.__FusedMatMul = t10.asm._FusedMatMul).apply(null, arguments); - }, ub = t10._malloc = function() { - return (ub = t10._malloc = t10.asm.malloc).apply(null, arguments); - }, pb = t10._free = function() { - return (pb = t10._free = t10.asm.free).apply(null, arguments); - }, cb = t10.___errno_location = function() { - return (cb = t10.___errno_location = t10.asm.__errno_location).apply(null, arguments); - }, mm = t10.stackSave = function() { - return (mm = t10.stackSave = t10.asm.stackSave).apply(null, arguments); - }, dm = t10.stackRestore = function() { - return (dm = t10.stackRestore = t10.asm.stackRestore).apply(null, arguments); - }, Vc = t10.stackAlloc = function() { - return (Vc = t10.stackAlloc = t10.asm.stackAlloc).apply(null, arguments); - }, lb = t10.dynCall_iijjiiii = function() { - return (lb = t10.dynCall_iijjiiii = t10.asm.dynCall_iijjiiii).apply(null, arguments); - }, mb = t10.dynCall_jiji = function() { - return (mb = t10.dynCall_jiji = t10.asm.dynCall_jiji).apply(null, arguments); + var rl = { abort: ly, emscripten_get_heap_max: Su, emscripten_memcpy_big: my, emscripten_resize_heap: Ap, fd_close: bm, fd_seek: dy, fd_write: Yv }, xy = tl(), wm = t10.___wasm_call_ctors = function() { + return (wm = t10.___wasm_call_ctors = t10.asm.__wasm_call_ctors).apply(null, arguments); + }, Sm = t10._init = function() { + return (Sm = t10._init = t10.asm.init).apply(null, arguments); + }, yy = t10._init_with_threads_count = function() { + return (yy = t10._init_with_threads_count = t10.asm.init_with_threads_count).apply(null, arguments); + }, Im = t10._get_threads_count = function() { + return (Im = t10._get_threads_count = t10.asm.get_threads_count).apply(null, arguments); + }, by = t10._register_tensor = function() { + return (by = t10._register_tensor = t10.asm.register_tensor).apply(null, arguments); + }, Me = t10._dispose_data = function() { + return (Me = t10._dispose_data = t10.asm.dispose_data).apply(null, arguments); + }, ol = t10._dispose = function() { + return (ol = t10._dispose = t10.asm.dispose).apply(null, arguments); + }, Cy = t10._Abs = function() { + return (Cy = t10._Abs = t10.asm.Abs).apply(null, arguments); + }, vm = t10._Acos = function() { + return (vm = t10._Acos = t10.asm.Acos).apply(null, arguments); + }, Fp = t10._Acosh = function() { + return (Fp = t10._Acosh = t10.asm.Acosh).apply(null, arguments); + }, wy = t10._Add = function() { + return (wy = t10._Add = t10.asm.Add).apply(null, arguments); + }, Sy = t10._AddN = function() { + return (Sy = t10._AddN = t10.asm.AddN).apply(null, arguments); + }, Iy = t10._All = function() { + return (Iy = t10._All = t10.asm.All).apply(null, arguments); + }, vy = t10._Any = function() { + return (vy = t10._Any = t10.asm.Any).apply(null, arguments); + }, ky = t10._ArgMax = function() { + return (ky = t10._ArgMax = t10.asm.ArgMax).apply(null, arguments); + }, km = t10._ArgMin = function() { + return (km = t10._ArgMin = t10.asm.ArgMin).apply(null, arguments); + }, Nm = t10._Asin = function() { + return (Nm = t10._Asin = t10.asm.Asin).apply(null, arguments); + }, Ny = t10._Asinh = function() { + return (Ny = t10._Asinh = t10.asm.Asinh).apply(null, arguments); + }, Ty = t10._Atan = function() { + return (Ty = t10._Atan = t10.asm.Atan).apply(null, arguments); + }, _y = t10._Atan2 = function() { + return (_y = t10._Atan2 = t10.asm.Atan2).apply(null, arguments); + }, nl = t10._Atanh = function() { + return (nl = t10._Atanh = t10.asm.Atanh).apply(null, arguments); + }, $y = t10._AvgPool = function() { + return ($y = t10._AvgPool = t10.asm.AvgPool).apply(null, arguments); + }, Ey = t10._AvgPool3D = function() { + return (Ey = t10._AvgPool3D = t10.asm.AvgPool3D).apply(null, arguments); + }, Ry = t10._AvgPool3DGrad = function() { + return (Ry = t10._AvgPool3DGrad = t10.asm.AvgPool3DGrad).apply(null, arguments); + }, vu = t10._BatchMatMul = function() { + return (vu = t10._BatchMatMul = t10.asm.BatchMatMul).apply(null, arguments); + }, Dy = t10._Bincount = function() { + return (Dy = t10._Bincount = t10.asm.Bincount).apply(null, arguments); + }, Ay = t10._Ceil = function() { + return (Ay = t10._Ceil = t10.asm.Ceil).apply(null, arguments); + }, Tm = t10._ClipByValue = function() { + return (Tm = t10._ClipByValue = t10.asm.ClipByValue).apply(null, arguments); + }, Fy = t10._Conv2D = function() { + return (Fy = t10._Conv2D = t10.asm.Conv2D).apply(null, arguments); + }, sl = t10._Conv2DBackpropInput = function() { + return (sl = t10._Conv2DBackpropInput = t10.asm.Conv2DBackpropInput).apply(null, arguments); + }, Py = t10._Conv3D = function() { + return (Py = t10._Conv3D = t10.asm.Conv3D).apply(null, arguments); + }, Oy = t10._Conv3DBackpropFilterV2 = function() { + return (Oy = t10._Conv3DBackpropFilterV2 = t10.asm.Conv3DBackpropFilterV2).apply(null, arguments); + }, My = t10._Conv3DBackpropInputV2 = function() { + return (My = t10._Conv3DBackpropInputV2 = t10.asm.Conv3DBackpropInputV2).apply(null, arguments); + }, Si = t10._Cos = function() { + return (Si = t10._Cos = t10.asm.Cos).apply(null, arguments); + }, al = t10._Cosh = function() { + return (al = t10._Cosh = t10.asm.Cosh).apply(null, arguments); + }, Ly = t10._CropAndResize = function() { + return (Ly = t10._CropAndResize = t10.asm.CropAndResize).apply(null, arguments); + }, By = t10._Cumprod = function() { + return (By = t10._Cumprod = t10.asm.Cumprod).apply(null, arguments); + }, zy = t10._Cumsum = function() { + return (zy = t10._Cumsum = t10.asm.Cumsum).apply(null, arguments); + }, Vy = t10._DenseBincount = function() { + return (Vy = t10._DenseBincount = t10.asm.DenseBincount).apply(null, arguments); + }, _m = t10._DepthToSpace = function() { + return (_m = t10._DepthToSpace = t10.asm.DepthToSpace).apply(null, arguments); + }, $m = t10._DepthwiseConv2dNative = function() { + return ($m = t10._DepthwiseConv2dNative = t10.asm.DepthwiseConv2dNative).apply(null, arguments); + }, Wy = t10._Diag = function() { + return (Wy = t10._Diag = t10.asm.Diag).apply(null, arguments); + }, Uy = t10._Dilation2D = function() { + return (Uy = t10._Dilation2D = t10.asm.Dilation2D).apply(null, arguments); + }, Em = t10._Dilation2DBackpropFilter = function() { + return (Em = t10._Dilation2DBackpropFilter = t10.asm.Dilation2DBackpropFilter).apply(null, arguments); + }, Rm = t10._Dilation2DBackpropInput = function() { + return (Rm = t10._Dilation2DBackpropInput = t10.asm.Dilation2DBackpropInput).apply(null, arguments); + }, Gy = t10._Elu = function() { + return (Gy = t10._Elu = t10.asm.Elu).apply(null, arguments); + }, Hy = t10._EluGrad = function() { + return (Hy = t10._EluGrad = t10.asm.EluGrad).apply(null, arguments); + }, Ky = t10._Equal = function() { + return (Ky = t10._Equal = t10.asm.Equal).apply(null, arguments); + }, qy = t10._Exp = function() { + return (qy = t10._Exp = t10.asm.Exp).apply(null, arguments); + }, Dm = t10._Expm1 = function() { + return (Dm = t10._Expm1 = t10.asm.Expm1).apply(null, arguments); + }, Qv = t10._FlipLeftRight = function() { + return (Qv = t10._FlipLeftRight = t10.asm.FlipLeftRight).apply(null, arguments); + }, jy = t10._Floor = function() { + return (jy = t10._Floor = t10.asm.Floor).apply(null, arguments); + }, Xy = t10._FloorDiv = function() { + return (Xy = t10._FloorDiv = t10.asm.FloorDiv).apply(null, arguments); + }, Yy = t10._FusedBatchNorm = function() { + return (Yy = t10._FusedBatchNorm = t10.asm.FusedBatchNorm).apply(null, arguments); + }, Qy = t10._FusedConv2D = function() { + return (Qy = t10._FusedConv2D = t10.asm.FusedConv2D).apply(null, arguments); + }, Zy = t10._FusedDepthwiseConv2D = function() { + return (Zy = t10._FusedDepthwiseConv2D = t10.asm.FusedDepthwiseConv2D).apply(null, arguments); + }, Jy = t10._Gather = function() { + return (Jy = t10._Gather = t10.asm.Gather).apply(null, arguments); + }, eb = t10._GatherNd = function() { + return (eb = t10._GatherNd = t10.asm.GatherNd).apply(null, arguments); + }, tb = t10._Greater = function() { + return (tb = t10._Greater = t10.asm.Greater).apply(null, arguments); + }, rb = t10._GreaterEqual = function() { + return (rb = t10._GreaterEqual = t10.asm.GreaterEqual).apply(null, arguments); + }, ob = t10._IsFinite = function() { + return (ob = t10._IsFinite = t10.asm.IsFinite).apply(null, arguments); + }, nb = t10._IsInf = function() { + return (nb = t10._IsInf = t10.asm.IsInf).apply(null, arguments); + }, sb = t10._IsNan = function() { + return (sb = t10._IsNan = t10.asm.IsNan).apply(null, arguments); + }, ab = t10._LRN = function() { + return (ab = t10._LRN = t10.asm.LRN).apply(null, arguments); + }, ib = t10._LRNGrad = function() { + return (ib = t10._LRNGrad = t10.asm.LRNGrad).apply(null, arguments); + }, ub = t10._LeakyRelu = function() { + return (ub = t10._LeakyRelu = t10.asm.LeakyRelu).apply(null, arguments); + }, pb = t10._Less = function() { + return (pb = t10._Less = t10.asm.Less).apply(null, arguments); + }, cb = t10._LessEqual = function() { + return (cb = t10._LessEqual = t10.asm.LessEqual).apply(null, arguments); + }, lb = t10._LinSpace = function() { + return (lb = t10._LinSpace = t10.asm.LinSpace).apply(null, arguments); + }, mb = t10._Log = function() { + return (mb = t10._Log = t10.asm.Log).apply(null, arguments); + }, db = t10._Log1p = function() { + return (db = t10._Log1p = t10.asm.Log1p).apply(null, arguments); + }, fb = t10._LogicalAnd = function() { + return (fb = t10._LogicalAnd = t10.asm.LogicalAnd).apply(null, arguments); + }, hb = t10._LogicalNot = function() { + return (hb = t10._LogicalNot = t10.asm.LogicalNot).apply(null, arguments); + }, gb = t10._LogicalOr = function() { + return (gb = t10._LogicalOr = t10.asm.LogicalOr).apply(null, arguments); + }, xb = t10._LogicalXor = function() { + return (xb = t10._LogicalXor = t10.asm.LogicalXor).apply(null, arguments); + }, yb = t10._Max = function() { + return (yb = t10._Max = t10.asm.Max).apply(null, arguments); + }, bb = t10._MaxPool = function() { + return (bb = t10._MaxPool = t10.asm.MaxPool).apply(null, arguments); + }, Cb = t10._MaxPool3D = function() { + return (Cb = t10._MaxPool3D = t10.asm.MaxPool3D).apply(null, arguments); + }, wb = t10._MaxPool3DGrad = function() { + return (wb = t10._MaxPool3DGrad = t10.asm.MaxPool3DGrad).apply(null, arguments); + }, Sb = t10._Maximum = function() { + return (Sb = t10._Maximum = t10.asm.Maximum).apply(null, arguments); + }, Ib = t10._Mean = function() { + return (Ib = t10._Mean = t10.asm.Mean).apply(null, arguments); + }, vb = t10._Min = function() { + return (vb = t10._Min = t10.asm.Min).apply(null, arguments); + }, kb = t10._Minimum = function() { + return (kb = t10._Minimum = t10.asm.Minimum).apply(null, arguments); + }, Nb = t10._MirrorPad = function() { + return (Nb = t10._MirrorPad = t10.asm.MirrorPad).apply(null, arguments); + }, Tb = t10._Multinomial = function() { + return (Tb = t10._Multinomial = t10.asm.Multinomial).apply(null, arguments); + }, _b = t10._Multiply = function() { + return (_b = t10._Multiply = t10.asm.Multiply).apply(null, arguments); + }, $b = t10._Neg = function() { + return ($b = t10._Neg = t10.asm.Neg).apply(null, arguments); + }, Eb = t10._NonMaxSuppressionV3 = function() { + return (Eb = t10._NonMaxSuppressionV3 = t10.asm.NonMaxSuppressionV3).apply(null, arguments); + }, Rb = t10._NonMaxSuppressionV4 = function() { + return (Rb = t10._NonMaxSuppressionV4 = t10.asm.NonMaxSuppressionV4).apply(null, arguments); + }, Db = t10._NonMaxSuppressionV5 = function() { + return (Db = t10._NonMaxSuppressionV5 = t10.asm.NonMaxSuppressionV5).apply(null, arguments); + }, Ab = t10._NotEqual = function() { + return (Ab = t10._NotEqual = t10.asm.NotEqual).apply(null, arguments); + }, Fb = t10._OneHot = function() { + return (Fb = t10._OneHot = t10.asm.OneHot).apply(null, arguments); + }, Pb = t10._PadV2 = function() { + return (Pb = t10._PadV2 = t10.asm.PadV2).apply(null, arguments); + }, Ob = t10._Pow = function() { + return (Ob = t10._Pow = t10.asm.Pow).apply(null, arguments); + }, Mb = t10._Prelu = function() { + return (Mb = t10._Prelu = t10.asm.Prelu).apply(null, arguments); + }, Lb = t10._Prod = function() { + return (Lb = t10._Prod = t10.asm.Prod).apply(null, arguments); + }, Bb = t10._RealDiv = function() { + return (Bb = t10._RealDiv = t10.asm.RealDiv).apply(null, arguments); + }, zb = t10._Reciprocal = function() { + return (zb = t10._Reciprocal = t10.asm.Reciprocal).apply(null, arguments); + }, Vb = t10._Relu = function() { + return (Vb = t10._Relu = t10.asm.Relu).apply(null, arguments); + }, Wb = t10._Relu6 = function() { + return (Wb = t10._Relu6 = t10.asm.Relu6).apply(null, arguments); + }, Ub = t10._ResizeBilinear = function() { + return (Ub = t10._ResizeBilinear = t10.asm.ResizeBilinear).apply(null, arguments); + }, Gb = t10._ResizeBilinearGrad = function() { + return (Gb = t10._ResizeBilinearGrad = t10.asm.ResizeBilinearGrad).apply(null, arguments); + }, Hb = t10._ResizeNearestNeighbor = function() { + return (Hb = t10._ResizeNearestNeighbor = t10.asm.ResizeNearestNeighbor).apply(null, arguments); + }, Kb = t10._ResizeNearestNeighborGrad = function() { + return (Kb = t10._ResizeNearestNeighborGrad = t10.asm.ResizeNearestNeighborGrad).apply(null, arguments); + }, qb = t10._Reverse = function() { + return (qb = t10._Reverse = t10.asm.Reverse).apply(null, arguments); + }, jb = t10._RotateWithOffset = function() { + return (jb = t10._RotateWithOffset = t10.asm.RotateWithOffset).apply(null, arguments); + }, Xb = t10._Round = function() { + return (Xb = t10._Round = t10.asm.Round).apply(null, arguments); + }, Yb = t10._Rsqrt = function() { + return (Yb = t10._Rsqrt = t10.asm.Rsqrt).apply(null, arguments); + }, Qb = t10._ScatterNd = function() { + return (Qb = t10._ScatterNd = t10.asm.ScatterNd).apply(null, arguments); + }, Zb = t10._SearchSorted = function() { + return (Zb = t10._SearchSorted = t10.asm.SearchSorted).apply(null, arguments); + }, Jb = t10._SelectV2 = function() { + return (Jb = t10._SelectV2 = t10.asm.SelectV2).apply(null, arguments); + }, eC = t10._Selu = function() { + return (eC = t10._Selu = t10.asm.Selu).apply(null, arguments); + }, tC = t10._Sigmoid = function() { + return (tC = t10._Sigmoid = t10.asm.Sigmoid).apply(null, arguments); + }, rC = t10._Sign = function() { + return (rC = t10._Sign = t10.asm.Sign).apply(null, arguments); + }, oC = t10._Sin = function() { + return (oC = t10._Sin = t10.asm.Sin).apply(null, arguments); + }, nC = t10._Softmax = function() { + return (nC = t10._Softmax = t10.asm.Softmax).apply(null, arguments); + }, sC = t10._Softplus = function() { + return (sC = t10._Softplus = t10.asm.Softplus).apply(null, arguments); + }, aC = t10._SparseFillEmptyRows = function() { + return (aC = t10._SparseFillEmptyRows = t10.asm.SparseFillEmptyRows).apply(null, arguments); + }, iC = t10._SparseReshape = function() { + return (iC = t10._SparseReshape = t10.asm.SparseReshape).apply(null, arguments); + }, uC = t10._SparseSegmentReduction = function() { + return (uC = t10._SparseSegmentReduction = t10.asm.SparseSegmentReduction).apply(null, arguments); + }, pC = t10._SparseToDense = function() { + return (pC = t10._SparseToDense = t10.asm.SparseToDense).apply(null, arguments); + }, cC = t10._Sqrt = function() { + return (cC = t10._Sqrt = t10.asm.Sqrt).apply(null, arguments); + }, lC = t10._Square = function() { + return (lC = t10._Square = t10.asm.Square).apply(null, arguments); + }, mC = t10._SquaredDifference = function() { + return (mC = t10._SquaredDifference = t10.asm.SquaredDifference).apply(null, arguments); + }, dC = t10._Step = function() { + return (dC = t10._Step = t10.asm.Step).apply(null, arguments); + }, fC = t10._StridedSlice = function() { + return (fC = t10._StridedSlice = t10.asm.StridedSlice).apply(null, arguments); + }, hC = t10._Sub = function() { + return (hC = t10._Sub = t10.asm.Sub).apply(null, arguments); + }, gC = t10._Sum = function() { + return (gC = t10._Sum = t10.asm.Sum).apply(null, arguments); + }, xC = t10._Tan = function() { + return (xC = t10._Tan = t10.asm.Tan).apply(null, arguments); + }, yC = t10._Tanh = function() { + return (yC = t10._Tanh = t10.asm.Tanh).apply(null, arguments); + }, bC = t10._TensorScatterUpdate = function() { + return (bC = t10._TensorScatterUpdate = t10.asm.TensorScatterUpdate).apply(null, arguments); + }, CC = t10._Tile = function() { + return (CC = t10._Tile = t10.asm.Tile).apply(null, arguments); + }, wC = t10._TopK = function() { + return (wC = t10._TopK = t10.asm.TopK).apply(null, arguments); + }, SC = t10._Transform = function() { + return (SC = t10._Transform = t10.asm.Transform).apply(null, arguments); + }, IC = t10._Transpose = function() { + return (IC = t10._Transpose = t10.asm.Transpose).apply(null, arguments); + }, vC = t10.__FusedMatMul = function() { + return (vC = t10.__FusedMatMul = t10.asm._FusedMatMul).apply(null, arguments); + }, kC = t10._malloc = function() { + return (kC = t10._malloc = t10.asm.malloc).apply(null, arguments); + }, NC = t10._free = function() { + return (NC = t10._free = t10.asm.free).apply(null, arguments); + }, TC = t10.___errno_location = function() { + return (TC = t10.___errno_location = t10.asm.__errno_location).apply(null, arguments); + }, Am = t10.stackSave = function() { + return (Am = t10.stackSave = t10.asm.stackSave).apply(null, arguments); + }, Fm = t10.stackRestore = function() { + return (Fm = t10.stackRestore = t10.asm.stackRestore).apply(null, arguments); + }, il = t10.stackAlloc = function() { + return (il = t10.stackAlloc = t10.asm.stackAlloc).apply(null, arguments); + }, _C = t10.dynCall_iijjiiii = function() { + return (_C = t10.dynCall_iijjiiii = t10.asm.dynCall_iijjiiii).apply(null, arguments); + }, $C = t10.dynCall_jiji = function() { + return ($C = t10.dynCall_jiji = t10.asm.dynCall_jiji).apply(null, arguments); }; - t10.cwrap = Mx; - var rp; - rr = function G() { - rp || fm(), rp || (rr = G); + t10.cwrap = gy; + var Pp; + sr = function G() { + Pp || Pm(), Pp || (sr = G); }; - function fm(G) { - if (G = G || i, Nt > 0 || (ft(), Nt > 0)) + function Pm(G) { + if (G = G || i, Tt > 0 || (ht(), Tt > 0)) return; - function se() { - rp || (rp = true, t10.calledRun = true, !M && (ht(), o(t10), t10.onRuntimeInitialized && t10.onRuntimeInitialized(), Rr())); + function ae() { + Pp || (Pp = true, t10.calledRun = true, !M && (gt(), o(t10), t10.onRuntimeInitialized && t10.onRuntimeInitialized(), Or())); } t10.setStatus ? (t10.setStatus("Running..."), setTimeout(function() { setTimeout(function() { t10.setStatus(""); - }, 1), se(); - }, 1)) : se(); + }, 1), ae(); + }, 1)) : ae(); } if (t10.preInit) for (typeof t10.preInit == "function" && (t10.preInit = [t10.preInit]); t10.preInit.length > 0; ) t10.preInit.pop()(); - fm(); - var op; - s && (op = { uncaughtException: process.listeners("uncaughtException").filter(function(G) { + Pm(); + var Op; + s && (Op = { uncaughtException: process.listeners("uncaughtException").filter(function(G) { return !s.uncaughtException.indexOf(G) > -1; }), unhandledRejection: process.listeners("unhandledRejection").filter(function(G) { return !s.unhandledRejection.indexOf(G) > -1; }) }); - var np; + var Mp; if (typeof e != "undefined") - np = e; + Mp = e; else if (typeof WasmBackendModuleThreadedSimd != "undefined") - np = WasmBackendModuleThreadedSimd; + Mp = WasmBackendModuleThreadedSimd; else throw new Error("Could not find wasm module in post.js"); - if (op) { - var db = np._dispose; - np._dispose = function() { - db(), op.uncaughtException.forEach(function(G) { + if (Op) { + var EC = Mp._dispose; + Mp._dispose = function() { + EC(), Op.uncaughtException.forEach(function(G) { process.removeListener("uncaughtException", G); - }), op.unhandledRejection.forEach(function(G) { + }), Op.unhandledRejection.forEach(function(G) { process.removeListener("unhandledRejection", G); }); }; @@ -2751,11 +2913,11 @@ var I3 = Kt((Ig, uI) => { return e.ready; }; })(); - typeof Ig == "object" && typeof uI == "object" ? uI.exports = iI : typeof define == "function" && define.amd ? define([], function() { - return iI; - }) : typeof Ig == "object" && (Ig.WasmBackendModule = iI); + typeof zg == "object" && typeof Tv == "object" ? Tv.exports = Nv : typeof define == "function" && define.amd ? define([], function() { + return Nv; + }) : typeof zg == "object" && (zg.WasmBackendModule = Nv); }); -var Fo = class { +var Lo = class { constructor(e, t10) { this.backend = e, this.dataMover = t10, this.data = /* @__PURE__ */ new WeakMap(), this.dataIdsCount = 0; } @@ -2775,92 +2937,92 @@ var Fo = class { return this.dataIdsCount; } }; -var Zr = class { +var ro = class { refCount(e) { - return Fr("refCount"); + return Lr("refCount"); } incRef(e) { - return Fr("incRef"); + return Lr("incRef"); } timerAvailable() { return true; } time(e) { - return Fr("time"); + return Lr("time"); } read(e) { - return Fr("read"); + return Lr("read"); } readSync(e) { - return Fr("readSync"); + return Lr("readSync"); } readToGPU(e, t10) { - return Fr("readToGPU"); + return Lr("readToGPU"); } numDataIds() { - return Fr("numDataIds"); + return Lr("numDataIds"); } disposeData(e, t10) { - return Fr("disposeData"); + return Lr("disposeData"); } write(e, t10, o) { - return Fr("write"); + return Lr("write"); } move(e, t10, o, n, s) { - return Fr("move"); + return Lr("move"); } createTensorFromGPUData(e, t10, o) { - return Fr("createTensorFromGPUData"); + return Lr("createTensorFromGPUData"); } memory() { - return Fr("memory"); + return Lr("memory"); } floatPrecision() { - return Fr("floatPrecision"); + return Lr("floatPrecision"); } epsilon() { return this.floatPrecision() === 32 ? 1e-7 : 1e-4; } dispose() { - return Fr("dispose"); + return Lr("dispose"); } }; -function Fr(r) { +function Lr(r) { throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`); } -function UI(r) { +function a0(r) { let e = r.length, t10 = 0; for (; e > 0; ) - t10 = Math.random() * e | 0, e--, Im(r, e, t10); + t10 = Math.random() * e | 0, e--, Gm(r, e, t10); } -function WV(r, e) { +function HU(r, e) { if (r.length !== e.length) throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${e.length}`); let t10 = r.length, o = 0; for (; t10 > 0; ) - o = Math.random() * t10 | 0, t10--, Im(r, t10, o), Im(e, t10, o); + o = Math.random() * t10 | 0, t10--, Gm(r, t10, o), Gm(e, t10, o); } -function ip(r, e, t10) { +function zp(r, e, t10) { return Math.max(r, Math.min(e, t10)); } -function UV(r) { +function KU(r) { return r % 2 === 0 ? r : r + 1; } -function Im(r, e, t10) { +function Gm(r, e, t10) { let o = r[e]; r[e] = r[t10], r[t10] = o; } -function GV(r) { +function qU(r) { let e = 0; for (let t10 = 0; t10 < r.length; t10++) e += r[t10]; return e; } -function HV(r, e) { +function jU(r, e) { let t10 = Math.random(); return e * t10 + (1 - t10) * r; } -function KV(r, e) { +function XU(r, e) { let t10 = 0; for (let o = 0; o < r.length; o++) { let n = Number(r[o]) - Number(e[o]); @@ -2872,13 +3034,13 @@ function $(r, e) { if (!r) throw new Error(typeof e == "string" ? e : e()); } -function gt(r, e, t10 = "") { - $(Or(r, e), () => t10 + ` Shapes ${r} and ${e} must match`); +function xt(r, e, t10 = "") { + $(br(r, e), () => t10 + ` Shapes ${r} and ${e} must match`); } -function Jr(r) { +function oo(r) { $(r != null, () => "The input to the tensor constructor must be a non-null value."); } -function We(r) { +function Ue(r) { if (r.length === 0) return 1; let e = r[0]; @@ -2886,10 +3048,20 @@ function We(r) { e *= r[t10]; return e; } -function qV(r) { +function YU(r) { return r.length === 0; } -function Or(r, e) { +function OC(r, e) { + if (r === e) + return true; + if (r == null || e == null || r.length !== e.length) + return false; + for (let t10 = 0; t10 < r.length; t10++) + if (r[t10] !== null && e[t10] !== null && r[t10] !== e[t10]) + return false; + return true; +} +function br(r, e) { if (r === e) return true; if (r == null || e == null || r.length !== e.length) @@ -2899,10 +3071,10 @@ function Or(r, e) { return false; return true; } -function sa(r) { +function Ba(r) { return r % 1 === 0; } -function jV(r) { +function QU(r) { if (Math.tanh != null) return Math.tanh(r); if (r === 1 / 0) @@ -2914,20 +3086,20 @@ function jV(r) { return (e - 1) / (e + 1); } } -function XV(r) { +function ZU(r) { let e = Math.ceil(Math.sqrt(r)); return [e, Math.ceil(r / e)]; } -function YV(r) { +function JU(r) { let e = new Uint32Array(r); for (let t10 = 0; t10 < r; ++t10) e[t10] = t10; - return UI(e), e; + return a0(e), e; } -function Yi(r, e) { +function Nu(r, e) { return e <= r.length ? r : r + " ".repeat(e - r.length); } -function QV(r, e = (n) => 0, t10, o) { +function eG(r, e = (n) => 0, t10, o) { return new Promise((n, s) => { let a = 0, i = () => { if (r()) { @@ -2945,7 +3117,7 @@ function QV(r, e = (n) => 0, t10, o) { i(); }); } -function ZV(r, e) { +function tG(r, e) { let t10 = 1, o = -1; for (let s = 0; s < r.length; ++s) if (r[s] >= 0) @@ -2968,12 +3140,12 @@ function ZV(r, e) { let n = r.slice(); return n[o] = e / t10, n; } -function Ja(r, e) { +function vi(r, e) { let t10 = e.length; - return r = r == null ? e.map((o, n) => n) : [].concat(r), $(r.every((o) => o >= -t10 && o < t10), () => `All values in axis param must be in range [-${t10}, ${t10}) but got axis ${r}`), $(r.every((o) => sa(o)), () => `All values in axis param must be integers but got axis ${r}`), r.map((o) => o < 0 ? t10 + o : o); + return r = r == null ? e.map((o, n) => n) : [].concat(r), $(r.every((o) => o >= -t10 && o < t10), () => `All values in axis param must be in range [-${t10}, ${t10}) but got axis ${r}`), $(r.every((o) => Ba(o)), () => `All values in axis param must be integers but got axis ${r}`), r.map((o) => o < 0 ? t10 + o : o); } -function bb(r, e) { - let t10 = [], o = [], n = e != null && Array.isArray(e) && e.length === 0, s = e == null || n ? null : Ja(e, r).sort(), a = 0; +function MC(r, e) { + let t10 = [], o = [], n = e != null && Array.isArray(e) && e.length === 0, s = e == null || n ? null : vi(e, r).sort(), a = 0; for (let i = 0; i < r.length; ++i) { if (s != null) { if (s[a] === i && r[i] !== 1) @@ -2984,19 +3156,10 @@ function bb(r, e) { } return { newShape: t10, keptDims: o }; } -function Cb(r, e) { - let t10 = null; - if (r == null || r === "float32") - t10 = new Float32Array(e); - else if (r === "int32") - t10 = new Int32Array(e); - else if (r === "bool") - t10 = new Uint8Array(e); - else - throw new Error(`Unknown data type ${r}`); - return t10; +function LC(r, e) { + return Hm(r, e); } -function Sb(r, e) { +function Hm(r, e) { let t10 = null; if (r == null || r === "float32") t10 = new Float32Array(e); @@ -3010,20 +3173,20 @@ function Sb(r, e) { throw new Error(`Unknown data type ${r}`); return t10; } -function wb(r, e) { +function BC(r, e) { for (let t10 = 0; t10 < r.length; t10++) { let o = r[t10]; if (isNaN(o) || !isFinite(o)) throw Error(`A tensor of type ${e} being uploaded contains ${o}.`); } } -function Ib(r) { +function zC(r) { return r === "bool" || r === "complex64" || r === "float32" || r === "int32" || r === "string"; } -function JV(r, e) { +function rG(r, e) { return !(e === "complex64" || e === "float32" && r !== "complex64" || e === "int32" && r !== "float32" && r !== "complex64" || e === "bool" && r === "bool"); } -function up(r) { +function Vp(r) { if (r === "float32" || r === "int32") return 4; if (r === "complex64") @@ -3032,34 +3195,34 @@ function up(r) { return 1; throw new Error(`Unknown dtype ${r}`); } -function vb(r) { +function VC(r) { if (r == null) return 0; let e = 0; return r.forEach((t10) => e += t10.length), e; } -function Oo(r) { +function Bo(r) { return typeof r == "string" || r instanceof String; } -function GI(r) { +function i0(r) { return typeof r == "boolean"; } -function HI(r) { +function u0(r) { return typeof r == "number"; } -function pp(r) { - return Array.isArray(r) ? pp(r[0]) : r instanceof Float32Array ? "float32" : r instanceof Int32Array || r instanceof Uint8Array || r instanceof Uint8ClampedArray ? "int32" : HI(r) ? "float32" : Oo(r) ? "string" : GI(r) ? "bool" : "float32"; +function ki(r) { + return Array.isArray(r) ? ki(r[0]) : r instanceof Float32Array ? "float32" : r instanceof Int32Array || r instanceof Uint8Array || r instanceof Uint8ClampedArray ? "int32" : u0(r) ? "float32" : Bo(r) ? "string" : i0(r) ? "bool" : "float32"; } -function gs(r) { +function Ws(r) { return !!(r && r.constructor && r.call && r.apply); } -function cp(r, e) { +function Wp(r, e) { for (let t10 = e; t10 < r; ++t10) if (r % t10 === 0) return t10; return r; } -function xs(r) { +function Us(r) { let e = r.length; if (e < 2) return []; @@ -3069,7 +3232,7 @@ function xs(r) { t10[o] = t10[o + 1] * r[o + 1]; return t10; } -function KI(r, e, t10, o = false) { +function p0(r, e, t10, o = false) { let n = new Array(); if (e.length === 1) { let s = e[0] * (o ? 2 : 1); @@ -3078,11 +3241,11 @@ function KI(r, e, t10, o = false) { } else { let s = e[0], a = e.slice(1), i = a.reduce((p, u) => p * u) * (o ? 2 : 1); for (let p = 0; p < s; p++) - n[p] = KI(r + p * i, a, t10, o); + n[p] = p0(r + p * i, a, t10, o); } return n; } -function Xi(r, e, t10 = false) { +function ku(r, e, t10 = false) { if (r.length === 0) return e[0]; let o = r.reduce((n, s) => n * s) * (t10 ? 2 : 1); @@ -3090,9 +3253,9 @@ function Xi(r, e, t10 = false) { return []; if (o !== e.length) throw new Error(`[${r}] does not match the input size ${e.length}${t10 ? " for a complex tensor" : ""}.`); - return KI(0, r, e, t10); + return p0(0, r, e, t10); } -function ez(r, e) { +function oG(r, e) { if (Array.isArray(r)) return r; if (e === "float32") @@ -3103,13 +3266,13 @@ function ez(r, e) { return Uint8Array.from(new Int32Array(r)); throw new Error(`Unknown dtype ${e}`); } -function Wc(r, e) { - let t10 = lp(r, e); +function pl(r, e) { + let t10 = Up(r, e); for (let o = 0; o < t10.length; o++) t10[o] = 1; return t10; } -function lp(r, e) { +function Up(r, e) { if (e == null || e === "float32" || e === "complex64") return new Float32Array(r); if (e === "int32") @@ -3118,22 +3281,22 @@ function lp(r, e) { return new Uint8Array(r); throw new Error(`Unknown data type ${e}`); } -function tz(r, e) { +function nG(r, e) { let t10 = r.reduce((o, n) => o * n, 1); if (e == null || e === "float32") - return Xi(r, new Float32Array(t10)); + return ku(r, new Float32Array(t10)); if (e === "int32") - return Xi(r, new Int32Array(t10)); + return ku(r, new Int32Array(t10)); if (e === "bool") - return Xi(r, new Uint8Array(t10)); + return ku(r, new Uint8Array(t10)); throw new Error(`Unknown data type ${e}`); } -function bt(r) { +function Ct(r) { r.forEach((e) => { $(Number.isInteger(e) && e >= 0, () => `Tensor must have a shape comprised of positive integers but got shape [${r}].`); }); } -function rz(r, e, t10) { +function sG(r, e, t10) { if (e === 0) return 0; if (e === 1) @@ -3143,7 +3306,7 @@ function rz(r, e, t10) { o += t10[n] * r[n]; return o; } -function oz(r, e, t10) { +function aG(r, e, t10) { if (e === 0) return []; if (e === 1) @@ -3153,21 +3316,21 @@ function oz(r, e, t10) { o[n] = Math.floor(r / t10[n]), r -= o[n] * t10[n]; return o[o.length - 1] = r, o; } -function Qi(r) { +function Tu(r) { return r && r.then && typeof r.then == "function"; } -var qI = "tfjsflags"; -var Uc = class { +var c0 = "tfjsflags"; +var cl = class { constructor(e) { - this.global = e, this.flags = {}, this.flagRegistry = {}, this.urlFlags = {}, this.getQueryParams = sz, this.populateURLFlags(); + this.global = e, this.flags = {}, this.flagRegistry = {}, this.urlFlags = {}, this.getQueryParams = uG, this.populateURLFlags(); } setPlatform(e, t10) { - this.platform != null && (O().getBool("IS_TEST") || O().getBool("PROD") || console.warn(`Platform ${this.platformName} has already been set. Overwriting the platform with ${e}.`)), this.platformName = e, this.platform = t10; + this.platform != null && (P().getBool("IS_TEST") || P().getBool("PROD") || console.warn(`Platform ${this.platformName} has already been set. Overwriting the platform with ${e}.`)), this.platformName = e, this.platform = t10; } registerFlag(e, t10, o) { if (this.flagRegistry[e] = { evaluationFn: t10, setHook: o }, this.urlFlags[e] != null) { let n = this.urlFlags[e]; - O().getBool("IS_TEST") || O().getBool("PROD") || console.warn(`Setting feature override from URL ${e}: ${n}.`), this.set(e, n); + P().getBool("IS_TEST") || P().getBool("PROD") || console.warn(`Setting feature override from URL ${e}: ${n}.`), this.set(e, n); } } async getAsync(e) { @@ -3177,7 +3340,7 @@ var Uc = class { if (e in this.flags) return this.flags[e]; let t10 = this.evaluateFlag(e); - if (Qi(t10)) + if (Tu(t10)) throw new Error(`Flag ${e} cannot be synchronously evaluated. Please use getAsync() instead.`); return this.flags[e] = t10, this.flags[e]; } @@ -3187,6 +3350,9 @@ var Uc = class { getBool(e) { return this.get(e); } + getString(e) { + return this.get(e); + } getFlags() { return this.flags; } @@ -3213,36 +3379,33 @@ var Uc = class { if (typeof this.global == "undefined" || typeof this.global.location == "undefined" || typeof this.global.location.search == "undefined") return; let e = this.getQueryParams(this.global.location.search); - qI in e && e[qI].split(",").forEach((o) => { + c0 in e && e[c0].split(",").forEach((o) => { let [n, s] = o.split(":"); - this.urlFlags[n] = iz(n, s); + this.urlFlags[n] = cG(n, s); }); } }; -function sz(r) { +function uG(r) { let e = {}; - return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (t10, ...o) => (az(e, o[0], o[1]), o.join("="))), e; + return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (t10, ...o) => (pG(e, o[0], o[1]), o.join("="))), e; } -function az(r, e, t10) { +function pG(r, e, t10) { r[decodeURIComponent(e)] = decodeURIComponent(t10 || ""); } -function iz(r, e) { - if (e = e.toLowerCase(), e === "true" || e === "false") - return e === "true"; - if (`${+e}` === e) - return +e; - throw new Error(`Could not parse value flag value ${e} for flag ${r}.`); +function cG(r, e) { + let t10 = e.toLowerCase(); + return t10 === "true" || t10 === "false" ? t10 === "true" : `${+t10}` === t10 ? +t10 : e; } -function O() { - return kb; +function P() { + return WC; } -var kb = null; -function jI(r) { - kb = r; +var WC = null; +function l0(r) { + WC = r; } -var Nb; -function Tb() { - if (Nb == null) { +var UC; +function GC() { + if (UC == null) { let r; if (typeof window != "undefined") r = window; @@ -3254,16 +3417,16 @@ function Tb() { r = self; else throw new Error("Could not find a global object"); - Nb = r; + UC = r; } - return Nb; + return UC; } -function uz() { - let r = Tb(); +function lG() { + let r = GC(); return r._tfGlobals == null && (r._tfGlobals = /* @__PURE__ */ new Map()), r._tfGlobals; } -function Gc(r, e) { - let t10 = uz(); +function ll(r, e) { + let t10 = lG(); if (t10.has(r)) return t10.get(r); { @@ -3271,198 +3434,202 @@ function Gc(r, e) { return t10.set(r, o), t10.get(r); } } -var ys = "Abs"; -var aa = "Acos"; -var ia = "Acosh"; -var eo = "Add"; -var Po = "AddN"; -var Mo = "All"; -var Lo = "Any"; -var Bo = "ArgMax"; -var ei = "ArgMin"; -var ua = "Asin"; -var pa = "Asinh"; -var ca = "Atan"; -var la = "Atanh"; -var ma = "Atan2"; -var Vo = "AvgPool"; -var mp = "AvgPoolGrad"; -var dp = "AvgPool3D"; -var vm = "AvgPool3DGrad"; -var zo = "BatchMatMul"; -var bs = "BatchToSpaceND"; -var ti = "Bincount"; -var ise = "BroadcastTo"; -var fp = "BroadcastArgs"; -var co = "Cast"; -var Wo = "Ceil"; -var lo = "ClipByValue"; -var ri = "Complex"; -var hp = "ComplexAbs"; -var Cs = "Concat"; -var Uo = "Conv2D"; -var oi = "Conv2DBackpropFilter"; -var Go = "Conv2DBackpropInput"; -var gp = "Conv3D"; -var km = "Conv3DBackpropFilterV2"; -var xp = "Conv3DBackpropInputV2"; -var Ho = "Cos"; -var Ko = "Cosh"; -var qo = "Cumprod"; -var jo = "Cumsum"; -var Xo = "CropAndResize"; -var ni = "DenseBincount"; -var Yo = "DepthToSpace"; -var Qo = "DepthwiseConv2dNative"; -var yp = "DepthwiseConv2dNativeBackpropFilter"; -var bp = "DepthwiseConv2dNativeBackpropInput"; -var si = "Diag"; -var ai = "Dilation2D"; -var _b = "Dilation2DBackpropInput"; -var $b = "Dilation2DBackpropFilter"; -var Zo = "RealDiv"; -var ii = "Einsum"; -var Jo = "Elu"; -var Nm = "EluGrad"; -var da = "Erf"; -var en = "Equal"; -var tn = "Exp"; -var Ss = "ExpandDims"; -var fa = "Expm1"; -var ui = "FFT"; -var ws = "Fill"; -var rn = "FlipLeftRight"; -var on = "Floor"; -var nn = "FloorDiv"; -var sn = "FusedBatchNorm"; -var Is = "GatherV2"; -var an = "GatherNd"; -var un = "Greater"; -var pn = "GreaterEqual"; -var mo = "Identity"; -var pi = "IFFT"; -var ci = "Imag"; -var ha = "IsFinite"; -var ga = "IsInf"; -var cn = "IsNan"; -var ln = "LeakyRelu"; -var mn = "Less"; -var dn = "LessEqual"; -var li = "LinSpace"; -var fn = "Log"; -var xa = "Log1p"; -var hn = "LogicalAnd"; -var gn = "LogicalNot"; -var xn = "LogicalOr"; -var XI = "LogicalXor"; -var use = "LogSoftmax"; -var pse = "LowerBound"; -var mi = "LRN"; -var Tm = "LRNGrad"; -var yn = "Max"; -var bn = "Maximum"; -var Cn = "MaxPool"; -var _m = "MaxPoolGrad"; -var Cp = "MaxPool3D"; -var $m = "MaxPool3DGrad"; -var Sp = "MaxPoolWithArgmax"; -var Sn = "Mean"; -var wn = "Min"; -var In = "Minimum"; -var vn = "MirrorPad"; -var ya = "Mod"; -var wp = "Multinomial"; -var kn = "Multiply"; -var vs = "Neg"; -var Nn = "NotEqual"; -var Tn = "NonMaxSuppressionV3"; -var ba = "NonMaxSuppressionV4"; -var _n = "NonMaxSuppressionV5"; -var ks = "OnesLike"; -var $n = "OneHot"; -var Ns = "Pack"; -var En = "PadV2"; -var cse = "Pool"; -var An = "Pow"; -var Rn = "Prelu"; -var Dn = "Prod"; -var Ip = "RaggedGather"; -var vp = "RaggedRange"; -var kp = "RaggedTensorToTensor"; -var Ts = "Range"; -var di = "Real"; -var Fn = "Reciprocal"; -var On = "Relu"; -var _s = "Reshape"; -var Pn = "ResizeNearestNeighbor"; -var Em = "ResizeNearestNeighborGrad"; -var Mn = "ResizeBilinear"; -var Am = "ResizeBilinearGrad"; -var Ln = "Relu6"; -var Bn = "Reverse"; -var Vn = "Round"; -var zn = "Rsqrt"; -var Wn = "ScatterNd"; -var fi = "SearchSorted"; -var $s = "Select"; -var Ca = "Selu"; -var Es = "Slice"; -var Un = "Sin"; -var Sa = "Sinh"; -var wa = "Sign"; -var Gn = "Sigmoid"; -var Ia = "Softplus"; -var Hn = "Sqrt"; -var Kn = "Sum"; -var As = "SpaceToBatchND"; -var Rs = "SplitV"; -var qn = "Softmax"; -var hi = "SparseFillEmptyRows"; -var va = "SparseReshape"; -var gi = "SparseSegmentMean"; -var xi = "SparseSegmentSum"; -var yi = "SparseToDense"; -var jn = "SquaredDifference"; -var bi = "Square"; -var Xn = "StridedSlice"; -var Ds = "StringNGrams"; -var Ci = "StringSplit"; -var Si = "StringToHashBucketFast"; -var Yn = "Sub"; -var Qn = "Tan"; -var Zn = "Tanh"; -var to = "Tile"; -var Jn = "TopK"; -var es = "Transform"; -var ro = "Transpose"; -var Np = "Unique"; -var Fs = "Unpack"; -var Tp = "UnsortedSegmentSum"; -var lse = "UpperBound"; -var Os = "ZerosLike"; -var fo = "Step"; -var Zi = "FromPixels"; -var ts = "RotateWithOffset"; -var ho = "_FusedMatMul"; -var go = "FusedConv2D"; -var xo = "FusedDepthwiseConv2D"; -function Ps(...r) { - O().getBool("IS_TEST") || O().getBool("PROD") || console.warn(...r); +var Gs = "Abs"; +var zo = "Acos"; +var Vo = "Acosh"; +var no = "Add"; +var Wo = "AddN"; +var Uo = "All"; +var Go = "Any"; +var Hs = "ArgMax"; +var Ks = "ArgMin"; +var Ho = "Asin"; +var Ko = "Asinh"; +var qo = "Atan"; +var jo = "Atanh"; +var Xo = "Atan2"; +var Yo = "AvgPool"; +var Gp = "AvgPoolGrad"; +var qs = "AvgPool3D"; +var Ni = "AvgPool3DGrad"; +var Qo = "BatchMatMul"; +var js = "BatchToSpaceND"; +var Zo = "Bincount"; +var ml = "BitwiseAnd"; +var Kpe = "BroadcastTo"; +var Xs = "BroadcastArgs"; +var ho = "Cast"; +var Jo = "Ceil"; +var go = "ClipByValue"; +var Ti = "Complex"; +var _i = "ComplexAbs"; +var Ys = "Concat"; +var en = "Conv2D"; +var $i = "Conv2DBackpropFilter"; +var tn = "Conv2DBackpropInput"; +var rn = "Conv3D"; +var za = "Conv3DBackpropFilterV2"; +var on = "Conv3DBackpropInputV2"; +var nn = "Cos"; +var sn = "Cosh"; +var an = "Cumprod"; +var un = "Cumsum"; +var pn = "CropAndResize"; +var Qs = "DenseBincount"; +var cn = "DepthToSpace"; +var ln = "DepthwiseConv2dNative"; +var Ei = "DepthwiseConv2dNativeBackpropFilter"; +var Ri = "DepthwiseConv2dNativeBackpropInput"; +var Zs = "Diag"; +var mn = "Dilation2D"; +var Di = "Dilation2DBackpropInput"; +var Ai = "Dilation2DBackpropFilter"; +var dn = "RealDiv"; +var Fi = "Einsum"; +var fn = "Elu"; +var Va = "EluGrad"; +var Wa = "Erf"; +var hn = "Equal"; +var gn = "Exp"; +var Js = "ExpandDims"; +var xn = "Expm1"; +var Pi = "FFT"; +var ea = "Fill"; +var yn = "FlipLeftRight"; +var bn = "Floor"; +var Cn = "FloorDiv"; +var wn = "FusedBatchNorm"; +var ta = "GatherV2"; +var Sn = "GatherNd"; +var In = "Greater"; +var vn = "GreaterEqual"; +var xo = "Identity"; +var Oi = "IFFT"; +var Mi = "Imag"; +var kn = "IsFinite"; +var Nn = "IsInf"; +var Tn = "IsNan"; +var _n = "LeakyRelu"; +var $n = "Less"; +var En = "LessEqual"; +var Rn = "LinSpace"; +var Dn = "Log"; +var An = "Log1p"; +var Fn = "LogicalAnd"; +var Pn = "LogicalNot"; +var On = "LogicalOr"; +var m0 = "LogicalXor"; +var qpe = "LogSoftmax"; +var jpe = "LowerBound"; +var Mn = "LRN"; +var Ua = "LRNGrad"; +var Xpe = "MatrixBandPart"; +var Ln = "Max"; +var Bn = "Maximum"; +var zn = "MaxPool"; +var Hp = "MaxPoolGrad"; +var ra = "MaxPool3D"; +var Li = "MaxPool3DGrad"; +var Bi = "MaxPoolWithArgmax"; +var Vn = "Mean"; +var Wn = "Min"; +var Un = "Minimum"; +var Gn = "MirrorPad"; +var Ga = "Mod"; +var Hn = "Multinomial"; +var Kn = "Multiply"; +var oa = "Neg"; +var qn = "NotEqual"; +var jn = "NonMaxSuppressionV3"; +var Ha = "NonMaxSuppressionV4"; +var Xn = "NonMaxSuppressionV5"; +var na = "OnesLike"; +var Yn = "OneHot"; +var sa = "Pack"; +var Qn = "PadV2"; +var Ype = "Pool"; +var Zn = "Pow"; +var Jn = "Prelu"; +var es = "Prod"; +var Kp = "RaggedGather"; +var qp = "RaggedRange"; +var jp = "RaggedTensorToTensor"; +var aa = "Range"; +var zi = "Real"; +var ts = "Reciprocal"; +var rs = "Relu"; +var ia = "Reshape"; +var os = "ResizeNearestNeighbor"; +var Ka = "ResizeNearestNeighborGrad"; +var ns = "ResizeBilinear"; +var qa = "ResizeBilinearGrad"; +var ss = "Relu6"; +var as = "Reverse"; +var is = "Round"; +var us = "Rsqrt"; +var ps = "ScatterNd"; +var cs = "TensorScatterUpdate"; +var ls = "SearchSorted"; +var ua = "Select"; +var ms = "Selu"; +var pa = "Slice"; +var ds = "Sin"; +var ja = "Sinh"; +var fs = "Sign"; +var hs = "Sigmoid"; +var gs = "Softplus"; +var xs = "Sqrt"; +var ys = "Sum"; +var ca = "SpaceToBatchND"; +var la = "SplitV"; +var bs = "Softmax"; +var Vi = "SparseFillEmptyRows"; +var Xa = "SparseReshape"; +var Wi = "SparseSegmentMean"; +var Ui = "SparseSegmentSum"; +var Cs = "SparseToDense"; +var ws = "SquaredDifference"; +var Gi = "Square"; +var _u = "StaticRegexReplace"; +var Ss = "StridedSlice"; +var ma = "StringNGrams"; +var Hi = "StringSplit"; +var Ki = "StringToHashBucketFast"; +var Is = "Sub"; +var vs = "Tan"; +var ks = "Tanh"; +var so = "Tile"; +var Ns = "TopK"; +var Ts = "Transform"; +var ao = "Transpose"; +var qi = "Unique"; +var da = "Unpack"; +var ji = "UnsortedSegmentSum"; +var Qpe = "UpperBound"; +var fa = "ZerosLike"; +var yo = "Step"; +var $u = "FromPixels"; +var _s = "RotateWithOffset"; +var bo = "_FusedMatMul"; +var Co = "FusedConv2D"; +var wo = "FusedDepthwiseConv2D"; +function ha(...r) { + P().getBool("IS_TEST") || P().getBool("PROD") || console.warn(...r); } -function pz(...r) { - O().getBool("IS_TEST") || O().getBool("PROD") || console.log(...r); +function mG(...r) { + P().getBool("IS_TEST") || P().getBool("PROD") || console.log(...r); } -var _p = Gc("kernelRegistry", () => /* @__PURE__ */ new Map()); -var Hc = Gc("gradRegistry", () => /* @__PURE__ */ new Map()); -function Kc(r, e) { - let t10 = Ab(r, e); - return _p.get(t10); +var Xp = ll("kernelRegistry", () => /* @__PURE__ */ new Map()); +var dl = ll("gradRegistry", () => /* @__PURE__ */ new Map()); +function fl(r, e) { + let t10 = KC(r, e); + return Xp.get(t10); } -function Eb(r) { - return Hc.get(r); +function HC(r) { + return dl.get(r); } -function Rm(r) { - let e = _p.entries(), t10 = []; +function Km(r) { + let e = Xp.entries(), t10 = []; for (; ; ) { let { done: o, value: n } = e.next(); if (o) @@ -3472,122 +3639,125 @@ function Rm(r) { } return t10; } -function ka(r) { - let { kernelName: e, backendName: t10 } = r, o = Ab(e, t10); - _p.has(o) && Ps(`The kernel '${e}' for backend '${t10}' is already registered`), _p.set(o, r); +function Ya(r) { + let { kernelName: e, backendName: t10 } = r, o = KC(e, t10); + Xp.has(o) && ha(`The kernel '${e}' for backend '${t10}' is already registered`), Xp.set(o, r); } -function gse(r) { +function rce(r) { let { kernelName: e } = r; - Hc.has(e) && O().getBool("DEBUG") && Ps(`Overriding the gradient for '${e}'`), Hc.set(e, r); + dl.has(e) && P().getBool("DEBUG") && ha(`Overriding the gradient for '${e}'`), dl.set(e, r); } -function xse(r, e) { - let t10 = Ab(r, e); - if (!_p.has(t10)) +function oce(r, e) { + let t10 = KC(r, e); + if (!Xp.has(t10)) throw new Error(`The kernel '${r}' for backend '${e}' is not registered`); - _p.delete(t10); + Xp.delete(t10); } -function yse(r) { - if (!Hc.has(r)) +function nce(r) { + if (!dl.has(r)) throw new Error(`The gradient '${r}' for backend is not registered`); - Hc.delete(r); + dl.delete(r); } -function bse(r, e) { - Rm(r).forEach((o) => { +function sce(r, e) { + Km(r).forEach((o) => { let n = Object.assign({}, o, { backendName: e }); - ka(n); + Ya(n); }); } -function Ab(r, e) { +function KC(r, e) { return `${e}_${r}`; } var y = {}; -Ge(y, { arraysEqual: () => Or, assert: () => $, assertNonNegativeIntegerDimensions: () => bt, assertNonNull: () => Jr, assertShapesMatch: () => gt, bytesFromStringArray: () => vb, bytesPerElement: () => up, checkConversionForErrors: () => wb, clamp: () => ip, computeStrides: () => xs, convertBackendValuesAndArrayBuffer: () => ez, createScalarValue: () => gz, createShuffledIndices: () => YV, decodeString: () => Rp, distSquared: () => KV, encodeString: () => Ii, fetch: () => yz, fingerPrint64: () => hz, flatten: () => os, getArrayFromDType: () => Sb, getTypedArrayFromDType: () => Cb, hasEncodingLoss: () => JV, hexToLong: () => qc, indexToLoc: () => oz, inferDtype: () => pp, inferFromImplicitShape: () => ZV, isBoolean: () => GI, isFunction: () => gs, isInt: () => sa, isNumber: () => HI, isPromise: () => Qi, isScalarShape: () => qV, isString: () => Oo, isTypedArray: () => Bt, isValidDtype: () => Ib, locToIndex: () => rz, makeOnesTypedArray: () => Wc, makeZerosNestedTypedArray: () => tz, makeZerosTypedArray: () => lp, nearestDivisor: () => cp, nearestLargerEven: () => UV, now: () => ou, parseAxisParam: () => Ja, randUniform: () => HV, repeatedTry: () => QV, rightPad: () => Yi, shuffle: () => UI, shuffleCombo: () => WV, sizeFromShape: () => We, sizeToSquarishShape: () => XV, squeezeShape: () => bb, sum: () => GV, swap: () => Im, tanh: () => jV, toNestedArray: () => Xi, toTypedArray: () => Ap }); -var Ob = ap(i0()); -var ru = Ob.default || Ob; -function qc(r) { - return ru.fromString(r, true, 16); +He(y, { arraysEqual: () => br, arraysEqualWithNull: () => OC, assert: () => $, assertNonNegativeIntegerDimensions: () => Ct, assertNonNull: () => oo, assertShapesMatch: () => xt, bytesFromStringArray: () => VC, bytesPerElement: () => Vp, checkConversionForErrors: () => BC, clamp: () => zp, computeStrides: () => Us, convertBackendValuesAndArrayBuffer: () => oG, createScalarValue: () => bG, createShuffledIndices: () => JU, decodeString: () => Jp, distSquared: () => XU, encodeString: () => Yi, fetch: () => wG, fingerPrint64: () => yG, flatten: () => Es, getArrayFromDType: () => Hm, getTypedArrayFromDType: () => LC, hasEncodingLoss: () => rG, hexToLong: () => hl, indexToLoc: () => aG, inferDtype: () => ki, inferFromImplicitShape: () => tG, isBoolean: () => i0, isFunction: () => Ws, isInt: () => Ba, isNumber: () => u0, isPromise: () => Tu, isScalarShape: () => YU, isString: () => Bo, isTypedArray: () => Pt, isValidDtype: () => zC, locToIndex: () => sG, makeOnesTypedArray: () => pl, makeZerosNestedTypedArray: () => nG, makeZerosTypedArray: () => Up, nearestDivisor: () => Wp, nearestLargerEven: () => KU, now: () => Fu, parseAxisParam: () => vi, randUniform: () => jU, repeatedTry: () => eG, rightPad: () => Nu, shuffle: () => a0, shuffleCombo: () => HU, sizeFromShape: () => Ue, sizeToSquarishShape: () => ZU, squeezeShape: () => MC, sum: () => qU, swap: () => Gm, tanh: () => QU, toNestedArray: () => ku, toTypedArray: () => Zp }); +function qm(r) { + return r instanceof Float32Array || r instanceof Int32Array || r instanceof Uint8Array || r instanceof Uint8ClampedArray; } -var p0 = qc("c3a5c85c97cb3127"); -var tu = qc("b492b66fbe98f273"); -var gr = qc("9ae16a3b2f90404f"); -function Fb(r) { +var YC = Bp(v0()); +var Au = YC.default || YC; +function hl(r) { + return Au.fromString(r, true, 16); +} +var N0 = hl("c3a5c85c97cb3127"); +var Du = hl("b492b66fbe98f273"); +var Cr = hl("9ae16a3b2f90404f"); +function XC(r) { return r.xor(r.shru(47)); } -function c0(r, e, t10) { +function T0(r, e, t10) { let o = r.slice(e, e + t10); - return ru.fromBytes(Array.from(o), true, true); + return Au.fromBytes(Array.from(o), true, true); } -function Ct(r, e) { - return c0(r, e, 8); +function wt(r, e) { + return T0(r, e, 8); } -function u0(r, e) { - return c0(r, e, 4); +function k0(r, e) { + return T0(r, e, 4); } -function jt(r, e) { +function Yt(r, e) { return e === 0 ? r : r.shru(e).or(r.shl(64 - e)); } -function wi(r, e, t10 = qc("9ddfea08eb382d69")) { +function Xi(r, e, t10 = hl("9ddfea08eb382d69")) { let o = r.xor(e).mul(t10); o = o.xor(o.shru(47)); let n = e.xor(o).mul(t10); return n = n.xor(n.shru(47)), n = n.mul(t10), n; } -function lz(r, e, t10, o, n, s) { - n = n.add(r), s = jt(s.add(n).add(o), 21); +function fG(r, e, t10, o, n, s) { + n = n.add(r), s = Yt(s.add(n).add(o), 21); let a = n; - return n = n.add(e), n = n.add(t10), s = s.add(jt(n, 44)), [n.add(o), s.add(a)]; + return n = n.add(e), n = n.add(t10), s = s.add(Yt(n, 44)), [n.add(o), s.add(a)]; } -function Fm(r, e, t10, o) { - return lz(Ct(r, e), Ct(r, e + 8), Ct(r, e + 16), Ct(r, e + 24), t10, o); +function Xm(r, e, t10, o) { + return fG(wt(r, e), wt(r, e + 8), wt(r, e + 16), wt(r, e + 24), t10, o); } -function mz(r, e = r.length) { +function hG(r, e = r.length) { if (e >= 8) { - let t10 = gr.add(e * 2), o = Ct(r, 0).add(gr), n = Ct(r, e - 8), s = jt(n, 37).mul(t10).add(o), a = jt(o, 25).add(n).mul(t10); - return wi(s, a, t10); + let t10 = Cr.add(e * 2), o = wt(r, 0).add(Cr), n = wt(r, e - 8), s = Yt(n, 37).mul(t10).add(o), a = Yt(o, 25).add(n).mul(t10); + return Xi(s, a, t10); } if (e >= 4) { - let t10 = gr.add(e * 2), o = u0(r, 0); - return wi(o.shl(3).add(e), u0(r, e - 4), t10); + let t10 = Cr.add(e * 2), o = k0(r, 0); + return Xi(o.shl(3).add(e), k0(r, e - 4), t10); } if (e > 0) { let t10 = r[0], o = r[e >> 1], n = r[e - 1], s = t10 + (o << 8), a = e + (n << 2); - return Fb(gr.mul(s).xor(p0.mul(a))).mul(gr); + return XC(Cr.mul(s).xor(N0.mul(a))).mul(Cr); } - return gr; + return Cr; } -function dz(r, e = r.length) { - let t10 = gr.add(e * 2), o = Ct(r, 0).mul(tu), n = Ct(r, 8), s = Ct(r, e - 8).mul(t10), a = Ct(r, e - 16).mul(gr); - return wi(jt(o.add(n), 43).add(jt(s, 30)).add(a), o.add(jt(n.add(gr), 18)).add(s), t10); +function gG(r, e = r.length) { + let t10 = Cr.add(e * 2), o = wt(r, 0).mul(Du), n = wt(r, 8), s = wt(r, e - 8).mul(t10), a = wt(r, e - 16).mul(Cr); + return Xi(Yt(o.add(n), 43).add(Yt(s, 30)).add(a), o.add(Yt(n.add(Cr), 18)).add(s), t10); } -function fz(r, e = r.length) { - let t10 = gr.add(e * 2), o = Ct(r, 0).mul(gr), n = Ct(r, 8), s = Ct(r, e - 8).mul(t10), a = Ct(r, e - 16).mul(gr), i = jt(o.add(n), 43).add(jt(s, 30)).add(a), p = wi(i, o.add(jt(n.add(gr), 18)).add(s), t10), u = Ct(r, 16).mul(t10), c = Ct(r, 24), l = i.add(Ct(r, e - 32)).mul(t10), m = p.add(Ct(r, e - 24)).mul(t10); - return wi(jt(u.add(c), 43).add(jt(l, 30)).add(m), u.add(jt(c.add(o), 18)).add(l), t10); +function xG(r, e = r.length) { + let t10 = Cr.add(e * 2), o = wt(r, 0).mul(Cr), n = wt(r, 8), s = wt(r, e - 8).mul(t10), a = wt(r, e - 16).mul(Cr), i = Yt(o.add(n), 43).add(Yt(s, 30)).add(a), p = Xi(i, o.add(Yt(n.add(Cr), 18)).add(s), t10), u = wt(r, 16).mul(t10), c = wt(r, 24), l = i.add(wt(r, e - 32)).mul(t10), m = p.add(wt(r, e - 24)).mul(t10); + return Xi(Yt(u.add(c), 43).add(Yt(l, 30)).add(m), u.add(Yt(c.add(o), 18)).add(l), t10); } -function hz(r, e = r.length) { - let t10 = ru.fromNumber(81, true); +function yG(r, e = r.length) { + let t10 = Au.fromNumber(81, true); if (e <= 32) - return e <= 16 ? mz(r, e) : dz(r, e); + return e <= 16 ? hG(r, e) : gG(r, e); if (e <= 64) - return fz(r, e); - let o = t10, n = t10.mul(tu).add(113), s = Fb(n.mul(gr).add(113)).mul(gr), a = [ru.UZERO, ru.UZERO], i = [ru.UZERO, ru.UZERO]; - o = o.mul(gr).add(Ct(r, 0)); + return xG(r, e); + let o = t10, n = t10.mul(Du).add(113), s = XC(n.mul(Cr).add(113)).mul(Cr), a = [Au.UZERO, Au.UZERO], i = [Au.UZERO, Au.UZERO]; + o = o.mul(Cr).add(wt(r, 0)); let p = 0, u = (e - 1 >> 6) * 64, c = u + (e - 1 & 63) - 63; do - o = jt(o.add(n).add(a[0]).add(Ct(r, p + 8)), 37).mul(tu), n = jt(n.add(a[1]).add(Ct(r, p + 48)), 42).mul(tu), o = o.xor(i[1]), n = n.add(a[0]).add(Ct(r, p + 40)), s = jt(s.add(i[0]), 33).mul(tu), a = Fm(r, p, a[1].mul(tu), o.add(i[0])), i = Fm(r, p + 32, s.add(i[1]), n.add(Ct(r, p + 16))), [s, o] = [o, s], p += 64; + o = Yt(o.add(n).add(a[0]).add(wt(r, p + 8)), 37).mul(Du), n = Yt(n.add(a[1]).add(wt(r, p + 48)), 42).mul(Du), o = o.xor(i[1]), n = n.add(a[0]).add(wt(r, p + 40)), s = Yt(s.add(i[0]), 33).mul(Du), a = Xm(r, p, a[1].mul(Du), o.add(i[0])), i = Xm(r, p + 32, s.add(i[1]), n.add(wt(r, p + 16))), [s, o] = [o, s], p += 64; while (p !== u); - let l = tu.add(s.and(255).shl(1)); - return p = c, i[0] = i[0].add(e - 1 & 63), a[0] = a[0].add(i[0]), i[0] = i[0].add(a[0]), o = jt(o.add(n).add(a[0]).add(Ct(r, p + 8)), 37).mul(l), n = jt(n.add(a[1]).add(Ct(r, p + 48)), 42).mul(l), o = o.xor(i[1].mul(9)), n = n.add(a[0].mul(9).add(Ct(r, p + 40))), s = jt(s.add(i[0]), 33).mul(l), a = Fm(r, p, a[1].mul(l), o.add(i[0])), i = Fm(r, p + 32, s.add(i[1]), n.add(Ct(r, p + 16))), [s, o] = [o, s], wi(wi(a[0], i[0], l).add(Fb(n).mul(p0)).add(s), wi(a[1], i[1], l).add(o), l); + let l = Du.add(s.and(255).shl(1)); + return p = c, i[0] = i[0].add(e - 1 & 63), a[0] = a[0].add(i[0]), i[0] = i[0].add(a[0]), o = Yt(o.add(n).add(a[0]).add(wt(r, p + 8)), 37).mul(l), n = Yt(n.add(a[1]).add(wt(r, p + 48)), 42).mul(l), o = o.xor(i[1].mul(9)), n = n.add(a[0].mul(9).add(wt(r, p + 40))), s = Yt(s.add(i[0]), 33).mul(l), a = Xm(r, p, a[1].mul(l), o.add(i[0])), i = Xm(r, p + 32, s.add(i[1]), n.add(wt(r, p + 16))), [s, o] = [o, s], Xi(Xi(a[0], i[0], l).add(XC(n).mul(N0)).add(s), Xi(a[1], i[1], l).add(o), l); } -function gz(r, e) { - return e === "string" ? Ii(r) : Ap([r], e); +function bG(r, e) { + return e === "string" ? Yi(r) : Zp([r], e); } -function xz(r, e) { +function CG(r, e) { return r instanceof Float32Array && e === "float32" || r instanceof Int32Array && e === "int32" || r instanceof Uint8Array && e === "bool"; } -function Ap(r, e) { +function Zp(r, e) { if (e === "string") throw new Error("Cannot convert a string[] to a TypedArray"); - if (Array.isArray(r) && (r = os(r)), O().getBool("DEBUG") && wb(r, e), xz(r, e)) + if (Array.isArray(r) && (r = Es(r)), P().getBool("DEBUG") && BC(r, e), CG(r, e)) return r; if (e == null || e === "float32" || e === "complex64") return new Float32Array(r); @@ -3601,57 +3771,57 @@ function Ap(r, e) { } else throw new Error(`Unknown data type ${e}`); } -function ou() { - return O().platform.now(); +function Fu() { + return P().platform.now(); } -function yz(r, e) { - return O().platform.fetch(r, e); +function wG(r, e) { + return P().platform.fetch(r, e); } -function Ii(r, e = "utf-8") { - return e = e || "utf-8", O().platform.encode(r, e); +function Yi(r, e = "utf-8") { + return e = e || "utf-8", P().platform.encode(r, e); } -function Rp(r, e = "utf-8") { - return e = e || "utf-8", O().platform.decode(r, e); +function Jp(r, e = "utf-8") { + return e = e || "utf-8", P().platform.decode(r, e); } -function Bt(r) { - return O().platform.isTypedArray(r); +function Pt(r) { + return P().platform.isTypedArray != null ? P().platform.isTypedArray(r) : qm(r); } -function os(r, e = [], t10 = false) { - if (e == null && (e = []), typeof r == "boolean" || typeof r == "number" || typeof r == "string" || Qi(r) || r == null || Bt(r) && t10) +function Es(r, e = [], t10 = false) { + if (e == null && (e = []), typeof r == "boolean" || typeof r == "number" || typeof r == "string" || Tu(r) || r == null || Pt(r) && t10) e.push(r); - else if (Array.isArray(r) || Bt(r)) + else if (Array.isArray(r) || Pt(r)) for (let o = 0; o < r.length; ++o) - os(r[o], e, t10); + Es(r[o], e, t10); else { let o = -1; for (let n of Object.keys(r)) /^([1-9]+[0-9]*|0)$/.test(n) && (o = Math.max(o, Number(n))); for (let n = 0; n <= o; n++) - os(r[n], e, t10); + Es(r[n], e, t10); } return e; } -var Om = class { +var Ym = class { constructor(e, t10) { - this.backendTimer = e, this.logger = t10, t10 == null && (this.logger = new Pb()); + this.backendTimer = e, this.logger = t10, t10 == null && (this.logger = new QC()); } profileKernel(e, t10, o) { let n, s = () => { n = o(); - }, a, i = ou(); + }, a, i = Fu(); if (this.backendTimer.timerAvailable()) a = this.backendTimer.time(s); else { s(); for (let u of n) u.dataSync(); - a = Promise.resolve({ kernelMs: ou() - i }); + a = Promise.resolve({ kernelMs: Fu() - i }); } - if (O().getBool("CHECK_COMPUTATION_FOR_ERRORS")) + if (P().getBool("CHECK_COMPUTATION_FOR_ERRORS")) for (let u = 0; u < n.length; u++) { let c = n[u]; c.data().then((l) => { - bz(l, c.dtype, e); + SG(l, c.dtype, e); }); } return { kernelName: e, outputs: n, inputs: t10, timeMs: a.then((u) => u.kernelMs), extraInfo: a.then((u) => u.getExtraProfileInfo != null ? u.getExtraProfileInfo() : "") }; @@ -3665,7 +3835,7 @@ var Om = class { }); } }; -function bz(r, e, t10) { +function SG(r, e, t10) { if (e !== "float32") return false; for (let o = 0; o < r.length; o++) { @@ -3675,9 +3845,9 @@ function bz(r, e, t10) { } return false; } -var Pb = class { +var QC = class { logKernelProfile(e, t10, o, n, s, a) { - let i = typeof n == "number" ? Yi(`${n}ms`, 9) : n.error, p = Yi(e, 25), u = t10.rank, c = t10.size, l = Yi(t10.shape.toString(), 14), m = ""; + let i = typeof n == "number" ? Nu(`${n}ms`, 9) : n.error, p = Nu(e, 25), u = t10.rank, c = t10.size, l = Nu(t10.shape.toString(), 14), m = ""; for (let d in s) { let f = s[d]; if (f != null) { @@ -3688,7 +3858,7 @@ var Pb = class { console.log(`%c${p} %c${i} %c${u}D ${l} %c${c} %c${m} %c${a}`, "font-weight:bold", "color:red", "color:blue", "color: orange", "color: green", "color: steelblue"); } }; -function l0(r, e, t10) { +function _0(r, e, t10) { let o = {}, n = {}; for (let p = 0; p < e.length; p++) o[e[p].id] = true; @@ -3732,7 +3902,7 @@ function l0(r, e, t10) { } return i; } -function m0(r, e, t10, o) { +function $0(r, e, t10, o) { for (let n = e.length - 1; n >= 0; n--) { let s = e[n], a = []; if (s.outputs.forEach((p) => { @@ -3748,7 +3918,7 @@ function m0(r, e, t10, o) { if (u.dtype !== "float32") throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${p} must have 'float32' dtype, but has '${u.dtype}'`); let c = s.inputs[p]; - if (!Or(u.shape, c.shape)) + if (!br(u.shape, c.shape)) throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${p}' has shape '${u.shape}', which does not match the shape of the input '${c.shape}'`); if (r[c.id] == null) r[c.id] = u; @@ -3759,63 +3929,63 @@ function m0(r, e, t10, o) { } } } -var d0 = 20; -var jc = 3; -var Mb = 7; -function f0(r, e, t10, o) { - let n = xs(e), s = Cz(r, e, t10, n), a = e.length, i = Pm(r, e, t10, n, s), p = ["Tensor"]; +var E0 = 20; +var gl = 3; +var ZC = 7; +function R0(r, e, t10, o) { + let n = Us(e), s = IG(r, e, t10, n), a = e.length, i = Qm(r, e, t10, n, s), p = ["Tensor"]; return o && (p.push(` dtype: ${t10}`), p.push(` rank: ${a}`), p.push(` shape: [${e}]`), p.push(" values:")), p.push(i.map((u) => " " + u).join(` `)), p.join(` `); } -function Cz(r, e, t10, o) { - let n = We(e), s = o[o.length - 1], a = new Array(s).fill(0), i = e.length, p = t10 === "complex64" ? Yc(r) : r; +function IG(r, e, t10, o) { + let n = Ue(e), s = o[o.length - 1], a = new Array(s).fill(0), i = e.length, p = t10 === "complex64" ? yl(r) : r; if (i > 1) for (let u = 0; u < n / s; u++) { let c = u * s; for (let l = 0; l < s; l++) - a[l] = Math.max(a[l], Xc(p[c + l], 0, t10).length); + a[l] = Math.max(a[l], xl(p[c + l], 0, t10).length); } return a; } -function Xc(r, e, t10) { +function xl(r, e, t10) { let o; - return Array.isArray(r) ? o = `${parseFloat(r[0].toFixed(Mb))} + ${parseFloat(r[1].toFixed(Mb))}j` : Oo(r) ? o = `'${r}'` : t10 === "bool" ? o = h0(r) : o = parseFloat(r.toFixed(Mb)).toString(), Yi(o, e); + return Array.isArray(r) ? o = `${parseFloat(r[0].toFixed(ZC))} + ${parseFloat(r[1].toFixed(ZC))}j` : Bo(r) ? o = `'${r}'` : t10 === "bool" ? o = D0(r) : o = parseFloat(r.toFixed(ZC)).toString(), Nu(o, e); } -function h0(r) { +function D0(r) { return r === 0 ? "false" : "true"; } -function Pm(r, e, t10, o, n, s = true) { +function Qm(r, e, t10, o, n, s = true) { let a = t10 === "complex64" ? 2 : 1, i = e[0], p = e.length; if (p === 0) { if (t10 === "complex64") { - let h = Yc(r); - return [Xc(h[0], 0, t10)]; + let h = yl(r); + return [xl(h[0], 0, t10)]; } - return t10 === "bool" ? [h0(r[0])] : [r[0].toString()]; + return t10 === "bool" ? [D0(r[0])] : [r[0].toString()]; } if (p === 1) { - if (i > d0) { - let g = jc * a, x = Array.from(r.slice(0, g)), b = Array.from(r.slice((i - jc) * a, i * a)); - return t10 === "complex64" && (x = Yc(x), b = Yc(b)), ["[" + x.map((C, w) => Xc(C, n[w], t10)).join(", ") + ", ..., " + b.map((C, w) => Xc(C, n[i - jc + w], t10)).join(", ") + "]"]; + if (i > E0) { + let g = gl * a, x = Array.from(r.slice(0, g)), b = Array.from(r.slice((i - gl) * a, i * a)); + return t10 === "complex64" && (x = yl(x), b = yl(b)), ["[" + x.map((w, S) => xl(w, n[S], t10)).join(", ") + ", ..., " + b.map((w, S) => xl(w, n[i - gl + S], t10)).join(", ") + "]"]; } - return ["[" + (t10 === "complex64" ? Yc(r) : Array.from(r)).map((g, x) => Xc(g, n[x], t10)).join(", ") + "]"]; + return ["[" + (t10 === "complex64" ? yl(r) : Array.from(r)).map((g, x) => xl(g, n[x], t10)).join(", ") + "]"]; } let u = e.slice(1), c = o.slice(1), l = o[0] * a, m = []; - if (i > d0) { - for (let h = 0; h < jc; h++) { + if (i > E0) { + for (let h = 0; h < gl; h++) { let g = h * l, x = g + l; - m.push(...Pm(r.slice(g, x), u, t10, c, n, false)); + m.push(...Qm(r.slice(g, x), u, t10, c, n, false)); } m.push("..."); - for (let h = i - jc; h < i; h++) { + for (let h = i - gl; h < i; h++) { let g = h * l, x = g + l; - m.push(...Pm(r.slice(g, x), u, t10, c, n, h === i - 1)); + m.push(...Qm(r.slice(g, x), u, t10, c, n, h === i - 1)); } } else for (let h = 0; h < i; h++) { let g = h * l, x = g + l; - m.push(...Pm(r.slice(g, x), u, t10, c, n, h === i - 1)); + m.push(...Qm(r.slice(g, x), u, t10, c, n, h === i - 1)); } let d = p === 2 ? "," : ""; m[0] = "[" + (i > 0 ? m[0] + d : ""); @@ -3828,21 +3998,21 @@ function Pm(r, e, t10, o, n, s = true) { `; return m[m.length - 1] = " " + m[m.length - 1] + "]" + (s ? "" : f), m; } -function Yc(r) { +function yl(r) { let e = []; for (let t10 = 0; t10 < r.length; t10 += 2) e.push([r[t10], r[t10 + 1]]); return e; } -var st = class { +var tt = class { constructor(e, t10, o) { - if (this.dtype = t10, this.shape = e.slice(), this.size = We(e), o != null) { + if (this.dtype = t10, this.shape = e.slice(), this.size = Ue(e), o != null) { let n = o.length; $(n === this.size, () => `Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`); } if (t10 === "complex64") throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag)."); - this.values = o || Sb(t10, this.size), this.strides = xs(e); + this.values = o || Hm(t10, this.size), this.strides = Us(e); } set(e, ...t10) { t10.length === 0 && (t10 = [0]), $(t10.length === this.rank, () => `The number of provided coordinates (${t10.length}) must match the rank (${this.rank})`); @@ -3888,49 +4058,49 @@ var st = class { return this.shape.length; } toTensor() { - return ns().makeTensor(this.values, this.shape, this.dtype); + return Rs().makeTensor(this.values, this.shape, this.dtype); } }; -var ns = null; -var Dp = null; -var Sz = null; -function g0(r) { - ns = r; +var Rs = null; +var ec = null; +var vG = null; +function A0(r) { + Rs = r; } -function x0(r) { - Dp = r; +function F0(r) { + ec = r; } -function y0(r) { - Sz = r; +function P0(r) { + vG = r; } -var it = class { +var pt = class { constructor(e, t10, o, n) { - this.kept = false, this.isDisposedInternal = false, this.shape = e.slice(), this.dtype = t10 || "float32", this.size = We(e), this.strides = xs(e), this.dataId = o, this.id = n, this.rankType = this.rank < 5 ? this.rank.toString() : "higher"; + this.kept = false, this.isDisposedInternal = false, this.shape = e.slice(), this.dtype = t10 || "float32", this.size = Ue(e), this.strides = Us(e), this.dataId = o, this.id = n, this.rankType = this.rank < 5 ? this.rank.toString() : "higher"; } get rank() { return this.shape.length; } async buffer() { let e = await this.data(); - return Dp.buffer(this.shape, this.dtype, e); + return ec.buffer(this.shape, this.dtype, e); } bufferSync() { - return Dp.buffer(this.shape, this.dtype, this.dataSync()); + return ec.buffer(this.shape, this.dtype, this.dataSync()); } async array() { let e = await this.data(); - return Xi(this.shape, e, this.dtype === "complex64"); + return ku(this.shape, e, this.dtype === "complex64"); } arraySync() { - return Xi(this.shape, this.dataSync(), this.dtype === "complex64"); + return ku(this.shape, this.dataSync(), this.dtype === "complex64"); } async data() { this.throwIfDisposed(); - let e = ns().read(this.dataId); + let e = Rs().read(this.dataId); if (this.dtype === "string") { let t10 = await e; try { - return t10.map((o) => Rp(o)); + return t10.map((o) => Jp(o)); } catch (o) { throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes()."); } @@ -3938,14 +4108,14 @@ var it = class { return e; } dataToGPU(e) { - return this.throwIfDisposed(), ns().readToGPU(this.dataId, e); + return this.throwIfDisposed(), Rs().readToGPU(this.dataId, e); } dataSync() { this.throwIfDisposed(); - let e = ns().readSync(this.dataId); + let e = Rs().readSync(this.dataId); if (this.dtype === "string") try { - return e.map((t10) => Rp(t10)); + return e.map((t10) => Jp(t10)); } catch (t10) { throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes()."); } @@ -3953,11 +4123,11 @@ var it = class { } async bytes() { this.throwIfDisposed(); - let e = await ns().read(this.dataId); + let e = await Rs().read(this.dataId); return this.dtype === "string" ? e : new Uint8Array(e.buffer); } dispose() { - this.isDisposed || (ns().disposeTensor(this), this.isDisposedInternal = true); + this.isDisposed || (Rs().disposeTensor(this), this.isDisposedInternal = true); } get isDisposed() { return this.isDisposedInternal; @@ -3967,115 +4137,121 @@ var it = class { throw new Error("Tensor is disposed."); } print(e = false) { - return Dp.print(this, e); + return ec.print(this, e); } clone() { - return this.throwIfDisposed(), Dp.clone(this); + return this.throwIfDisposed(), ec.clone(this); } toString(e = false) { let t10 = this.dataSync(); - return f0(t10, this.shape, this.dtype, e); + return R0(t10, this.shape, this.dtype, e); } cast(e) { - return this.throwIfDisposed(), Dp.cast(this, e); + return this.throwIfDisposed(), ec.cast(this, e); } variable(e = true, t10, o) { - return this.throwIfDisposed(), ns().makeVariable(this, e, t10, o); + return this.throwIfDisposed(), Rs().makeVariable(this, e, t10, o); } }; -Object.defineProperty(it, Symbol.hasInstance, { value: (r) => !!r && r.data != null && r.dataSync != null && r.throwIfDisposed != null }); -function wz() { - return Gc("Tensor", () => it); +Object.defineProperty(pt, Symbol.hasInstance, { value: (r) => !!r && r.data != null && r.dataSync != null && r.throwIfDisposed != null }); +function kG() { + return ll("Tensor", () => pt); } -wz(); -var Na = class extends it { +kG(); +var Qa = class extends pt { constructor(e, t10, o, n) { super(e.shape, e.dtype, e.dataId, n), this.trainable = t10, this.name = o; } assign(e) { if (e.dtype !== this.dtype) throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`); - if (!Or(e.shape, this.shape)) + if (!br(e.shape, this.shape)) throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`); - ns().disposeTensor(this), this.dataId = e.dataId, ns().incRef(this, null); + Rs().disposeTensor(this), this.dataId = e.dataId, Rs().incRef(this, null); } dispose() { - ns().disposeVariable(this), this.isDisposedInternal = true; + Rs().disposeVariable(this), this.isDisposedInternal = true; } }; -Object.defineProperty(Na, Symbol.hasInstance, { value: (r) => r instanceof it && r.assign != null && r.assign instanceof Function }); -var C0 = {}; -Ge(C0, { assertTypesMatch: () => Ub, getTensorsInContainer: () => Qc, isTensorInList: () => vz, makeTypesMatch: () => De }); -var Lb; +Object.defineProperty(Qa, Symbol.hasInstance, { value: (r) => r instanceof pt && r.assign != null && r.assign instanceof Function }); +var M0 = {}; +He(M0, { assertTypesMatch: () => nw, getTensorsInContainer: () => bl, isTensorInList: () => TG, makeTypesMatch: () => Oe }); +var JC; (function(r) { r.R0 = "R0", r.R1 = "R1", r.R2 = "R2", r.R3 = "R3", r.R4 = "R4", r.R5 = "R5", r.R6 = "R6"; -})(Lb || (Lb = {})); -var Bb; +})(JC || (JC = {})); +var ew; (function(r) { r.float32 = "float32", r.int32 = "int32", r.bool = "int32", r.complex64 = "complex64"; -})(Bb || (Bb = {})); -var Vb; +})(ew || (ew = {})); +var tw; (function(r) { r.float32 = "float32", r.int32 = "int32", r.bool = "bool", r.complex64 = "complex64"; -})(Vb || (Vb = {})); -var zb; +})(tw || (tw = {})); +var rw; (function(r) { r.float32 = "float32", r.int32 = "float32", r.bool = "float32", r.complex64 = "complex64"; -})(zb || (zb = {})); -var Wb; +})(rw || (rw = {})); +var ow; (function(r) { r.float32 = "complex64", r.int32 = "complex64", r.bool = "complex64", r.complex64 = "complex64"; -})(Wb || (Wb = {})); -var Iz = { float32: zb, int32: Bb, bool: Vb, complex64: Wb }; +})(ow || (ow = {})); +var NG = { float32: rw, int32: ew, bool: tw, complex64: ow }; function dt(r, e) { if (r === "string" || e === "string") { if (r === "string" && e === "string") return "string"; throw new Error(`Can not upcast ${r} with ${e}`); } - return Iz[r][e]; + return NG[r][e]; } -function Ta(r) { +function Za(r) { return dt(r, "int32"); } -function De(r, e) { +function Zm(r) { + return r != null && typeof r == "object" && "texture" in r && r.texture instanceof WebGLTexture; +} +function Jm(r) { + return typeof GPUBuffer != "undefined" && r != null && typeof r == "object" && "buffer" in r && r.buffer instanceof GPUBuffer; +} +function Oe(r, e) { if (r.dtype === e.dtype) return [r, e]; let t10 = dt(r.dtype, e.dtype); return [r.cast(t10), e.cast(t10)]; } -function Ub(r, e) { +function nw(r, e) { $(r.dtype === e.dtype, () => `The dtypes of the first(${r.dtype}) and second(${e.dtype}) input must match`); } -function vz(r, e) { +function TG(r, e) { return e.some((t10) => t10.id === r.id); } -function Qc(r) { +function bl(r) { let e = []; - return b0(r, e, /* @__PURE__ */ new Set()), e; + return O0(r, e, /* @__PURE__ */ new Set()), e; } -function b0(r, e, t10) { +function O0(r, e, t10) { if (r == null) return; - if (r instanceof it) { + if (r instanceof pt) { e.push(r); return; } - if (!kz(r)) + if (!_G(r)) return; let o = r; for (let n in o) { let s = o[n]; - t10.has(s) || (t10.add(s), b0(s, e, t10)); + t10.has(s) || (t10.add(s), O0(s, e, t10)); } } -function kz(r) { +function _G(r) { return Array.isArray(r) || typeof r == "object"; } -function Gb(r) { +function sw(r) { return r.kernelName != null; } -var Mm = class { +var ed = class { constructor() { this.registeredVariables = {}, this.nextTapeNodeId = 0, this.numBytes = 0, this.numTensors = 0, this.numStringTensors = 0, this.numDataBuffers = 0, this.gradientDepth = 0, this.kernelDepth = 0, this.scopeStack = [], this.numDataMovesStack = [], this.nextScopeId = 0, this.tensorInfo = /* @__PURE__ */ new WeakMap(), this.profiling = false, this.activeProfile = { newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null, get kernelNames() { return Array.from(new Set(this.kernels.map((e) => e.name))); @@ -4086,9 +4262,9 @@ var Mm = class { this.registeredVariables[e].dispose(); } }; -var vi = class { +var Qi = class { constructor(e) { - this.ENV = e, this.registry = {}, this.registryFactory = {}, this.pendingBackendInitId = 0, this.state = new Mm(); + this.ENV = e, this.registry = {}, this.registryFactory = {}, this.pendingBackendInitId = 0, this.state = new ed(); } async ready() { if (this.pendingBackendInit != null) @@ -4134,7 +4310,7 @@ var vi = class { return e in this.registryFactory ? this.registryFactory[e].factory : null; } registerBackend(e, t10, o = 1) { - return e in this.registryFactory ? (Ps(`${e} backend was already registered. Reusing existing backend factory.`), false) : (this.registryFactory[e] = { factory: t10, priority: o }, true); + return e in this.registryFactory ? (ha(`${e} backend was already registered. Reusing existing backend factory.`), false) : (this.registryFactory[e] = { factory: t10, priority: o }, true); } async setBackend(e) { if (this.registryFactory[e] == null) @@ -4145,15 +4321,15 @@ var vi = class { if (!(o ? await t10 : t10)) return false; } - return this.backendInstance = this.registry[e], this.setupRegisteredKernels(), this.profiler = new Om(this.backendInstance), true; + return this.backendInstance = this.registry[e], this.setupRegisteredKernels(), this.profiler = new Ym(this.backendInstance), true; } setupRegisteredKernels() { - Rm(this.backendName).forEach((t10) => { + Km(this.backendName).forEach((t10) => { t10.setupFunc != null && t10.setupFunc(this.backendInstance); }); } disposeRegisteredKernels(e) { - Rm(e).forEach((o) => { + Km(e).forEach((o) => { o.disposeFunc != null && o.disposeFunc(this.registry[e]); }); } @@ -4163,13 +4339,13 @@ var vi = class { throw new Error(`Cannot initialize backend ${e}, no registration found.`); try { let o = t10.factory(); - if (o && !(o instanceof Zr) && typeof o.then == "function") { - let n = ++this.pendingBackendInitId, s = o.then((a) => n < this.pendingBackendInitId ? false : (this.registry[e] = a, this.pendingBackendInit = null, true)).catch((a) => (n < this.pendingBackendInitId || (this.pendingBackendInit = null, Ps(`Initialization of backend ${e} failed`), Ps(a.stack || a.message)), false)); + if (o && !(o instanceof ro) && typeof o.then == "function") { + let n = ++this.pendingBackendInitId, s = o.then((a) => n < this.pendingBackendInitId ? false : (this.registry[e] = a, this.pendingBackendInit = null, true)).catch((a) => (n < this.pendingBackendInitId || (this.pendingBackendInit = null, ha(`Initialization of backend ${e} failed`), ha(a.stack || a.message)), false)); return this.pendingBackendInit = s, { success: s, asyncInit: true }; } else return this.registry[e] = o, { success: true, asyncInit: false }; } catch (o) { - return Ps(`Initialization of backend ${e} failed`), Ps(o.stack || o.message), { success: false, asyncInit: false }; + return ha(`Initialization of backend ${e} failed`), ha(o.stack || o.message), { success: false, asyncInit: false }; } } removeBackend(e) { @@ -4221,20 +4397,20 @@ var vi = class { } } nextTensorId() { - return vi.nextTensorId++; + return Qi.nextTensorId++; } nextVariableId() { - return vi.nextVariableId++; + return Qi.nextVariableId++; } clone(e) { - let t10 = T.runKernel(mo, { x: e }), o = { x: e }, n = (a) => ({ x: () => { + let t10 = T.runKernel(xo, { x: e }), o = { x: e }, n = (a) => ({ x: () => { let i = "float32", p = { x: a }, u = { dtype: i }; - return T.runKernel(co, p, u); + return T.runKernel(ho, p, u); } }), s = []; return this.addTapeNode(this.state.activeScope.name, o, [t10], n, s, {}), t10; } runKernel(e, t10, o) { - if (this.backendName == null && this.backend, !(Kc(e, this.backendName) != null)) + if (this.backendName == null && this.backend, !(fl(e, this.backendName) != null)) throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`); return this.runKernelFunc({ kernelName: e, inputs: t10, attrs: o }); } @@ -4255,22 +4431,22 @@ var vi = class { this.shouldCheckForMemLeaks() && this.state.numDataMovesStack.push(0); let i; this.backendName == null && this.backend; - let p, u = Gb(e) ? e.kernelName : this.state.activeScope != null ? this.state.activeScope.name : ""; - if (Gb(e)) { + let p, u = sw(e) ? e.kernelName : this.state.activeScope != null ? this.state.activeScope.name : ""; + if (sw(e)) { let { kernelName: f, inputs: h, attrs: g } = e; this.backendName == null && this.backend; - let x = Kc(f, this.backendName); + let x = fl(f, this.backendName); $(x != null, () => `Cannot find registered kernel '${f}' for backend '${this.backendName}'`), i = () => { let b = this.backend.numDataIds(); p = x.kernelFunc({ inputs: h, attrs: g, backend: this.backend }); - let C = Array.isArray(p) ? p : [p]; - this.shouldCheckForMemLeaks() && this.checkKernelForMemLeak(f, b, C); - let w = C.map((k) => k.rank != null ? k : this.makeTensorFromTensorInfo(k)); + let w = Array.isArray(p) ? p : [p]; + this.shouldCheckForMemLeaks() && this.checkKernelForMemLeak(f, b, w); + let S = w.map((k) => k.rank != null ? k : this.makeTensorFromTensorInfo(k)); if (n) { - let k = this.getTensorsForGradient(f, h, w); + let k = this.getTensorsForGradient(f, h, S); o = this.saveTensorsForBackwardMode(k); } - return w; + return S; }; } else { let { forwardFunc: f } = e, h = (g) => { @@ -4283,7 +4459,7 @@ var vi = class { return this.shouldCheckForMemLeaks() && this.checkKernelForMemLeak(u, g, x), x; }; } - let { inputs: c, attrs: l } = e, m = Gb(e) ? null : e.backwardsFunc, d; + let { inputs: c, attrs: l } = e, m = sw(e) ? null : e.backwardsFunc, d; return this.scopedRun(() => this.state.kernelDepth++, () => this.state.kernelDepth--, () => { !this.ENV.getBool("DEBUG") && !this.state.profiling ? t10 = i() : (d = this.profiler.profileKernel(u, c, () => i()), this.ENV.getBool("DEBUG") && this.profiler.logKernelProfile(d), t10 = d.outputs); }), n && this.addTapeNode(u, c, t10, m, o, l), this.state.profiling && this.state.activeProfile.kernels.push({ name: u, bytesAdded: this.state.numBytes - s, totalBytesSnapshot: this.state.numBytes, tensorsAdded: this.state.numTensors - a, totalTensorsSnapshot: this.state.numTensors, inputShapes: Object.keys(c).map((f) => c[f] != null ? c[f].shape : null), outputShapes: t10.map((f) => f.shape), kernelTimeMs: d.timeMs, extraInfo: d.extraInfo }), Array.isArray(p) ? t10 : t10[0]; @@ -4292,7 +4468,7 @@ var vi = class { return e.map((o) => this.keep(this.clone(o))); } getTensorsForGradient(e, t10, o) { - let n = Eb(e); + let n = HC(e); if (n != null) { let s = n.inputsToSave || [], a = n.outputsToSave || [], i; n.saveAllInputs ? ($(Array.isArray(t10), () => "saveAllInputs is true, expected inputs to be an array."), i = Object.keys(t10).map((u) => t10[u])) : i = s.map((u) => t10[u]); @@ -4306,10 +4482,10 @@ var vi = class { throw new Error("Values passed to engine.makeTensor() are null"); o = o || "float32", n = n || this.backend; let s = e; - o === "string" && Oo(e[0]) && (s = e.map((p) => Ii(p))); - let a = n.write(s, t10, o), i = new it(t10, o, a, this.nextTensorId()); + o === "string" && Bo(e[0]) && (s = e.map((p) => Yi(p))); + let a = n.write(s, t10, o), i = new pt(t10, o, a, this.nextTensorId()); if (this.trackTensor(i, n), o === "string") { - let p = this.state.tensorInfo.get(a), u = vb(s); + let p = this.state.tensorInfo.get(a), u = VC(s); this.state.numBytes += u - p.bytes, p.bytes = u; } return i; @@ -4320,12 +4496,12 @@ var vi = class { return this.makeTensorFromTensorInfo(s, n); } makeTensorFromTensorInfo(e, t10) { - let { dataId: o, shape: n, dtype: s } = e, a = new it(n, s, o, this.nextTensorId()); + let { dataId: o, shape: n, dtype: s } = e, a = new pt(n, s, o, this.nextTensorId()); return this.trackTensor(a, t10), a; } makeVariable(e, t10 = true, o, n) { o = o || this.nextVariableId().toString(), n != null && n !== e.dtype && (e = e.cast(n)); - let s = new Na(e, t10, o, this.nextTensorId()); + let s = new Qa(e, t10, o, this.nextTensorId()); if (this.state.registeredVariables[s.name] != null) throw new Error(`Variable with name ${s.name} was already registered`); return this.state.registeredVariables[s.name] = s, this.incRef(s, this.backend), s; @@ -4333,7 +4509,7 @@ var vi = class { trackTensor(e, t10) { this.state.numTensors++, e.dtype === "string" && this.state.numStringTensors++; let o = 0; - e.dtype !== "complex64" && e.dtype !== "string" && (o = e.size * up(e.dtype)), this.state.numBytes += o, this.state.tensorInfo.has(e.dataId) || (this.state.numDataBuffers++, this.state.tensorInfo.set(e.dataId, { backend: t10 || this.backend, dtype: e.dtype, shape: e.shape, bytes: o })), e instanceof Na || this.track(e); + e.dtype !== "complex64" && e.dtype !== "string" && (o = e.size * Vp(e.dtype)), this.state.numBytes += o, this.state.tensorInfo.has(e.dataId) || (this.state.numDataBuffers++, this.state.tensorInfo.set(e.dataId, { backend: t10 || this.backend, dtype: e.dtype, shape: e.shape, bytes: o })), e instanceof Qa || this.track(e); } incRef(e, t10) { this.trackTensor(e, t10), this.backend.incRef(e.dataId); @@ -4346,7 +4522,7 @@ var vi = class { return; let t10 = this.state.tensorInfo.get(e.dataId); if (this.state.numTensors--, e.dtype === "string" && (this.state.numStringTensors--, this.state.numBytes -= t10.bytes), e.dtype !== "complex64" && e.dtype !== "string") { - let o = e.size * up(e.dtype); + let o = e.size * Vp(e.dtype); this.state.numBytes -= o; } t10.backend.disposeData(e.dataId) && this.removeDataId(e.dataId, t10.backend); @@ -4376,10 +4552,10 @@ var vi = class { return this.state.gradientDepth > 0 && this.state.kernelDepth === 0; } addTapeNode(e, t10, o, n, s, a) { - let i = { id: this.state.nextTapeNodeId++, kernelName: e, inputs: t10, outputs: o, saved: s }, p = Eb(e); + let i = { id: this.state.nextTapeNodeId++, kernelName: e, inputs: t10, outputs: o, saved: s }, p = HC(e); p != null && (n = p.gradFunc), n != null && (i.gradient = (u) => (u = u.map((c, l) => { if (c == null) { - let m = o[l], d = lp(m.size, m.dtype); + let m = o[l], d = Up(m.size, m.dtype); return this.makeTensor(d, m.shape, m.dtype); } return c; @@ -4399,7 +4575,7 @@ var vi = class { e && (t10.name = e), this.state.scopeStack.push(t10), this.state.activeScope = t10; } endScope(e) { - let t10 = Qc(e), o = new Set(t10.map((s) => s.id)); + let t10 = bl(e), o = new Set(t10.map((s) => s.id)); for (let s = 0; s < this.state.activeScope.track.length; s++) { let a = this.state.activeScope.track[s]; !a.kept && !o.has(a.id) && a.dispose(); @@ -4413,13 +4589,13 @@ var vi = class { if ($(t10.length > 0, () => "gradients() received an empty list of xs."), o != null && o.dtype !== "float32") throw new Error(`dy must have 'float32' dtype, but has '${o.dtype}'`); let s = this.scopedRun(() => this.startTape(), () => this.endTape(), () => this.tidy("forward", e)); - $(s instanceof it, () => "The result y returned by f() must be a tensor."); - let a = l0(this.state.activeTape, t10, s); + $(s instanceof pt, () => "The result y returned by f() must be a tensor."); + let a = _0(this.state.activeTape, t10, s); if (!n && a.length === 0 && t10.length > 0) throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y."); return this.tidy("backward", () => { let i = {}; - i[s.id] = o == null ? Nz(s.shape) : o, m0(i, a, (u) => this.tidy(u), Tz); + i[s.id] = o == null ? $G(s.shape) : o, $0(i, a, (u) => this.tidy(u), EG); let p = t10.map((u) => i[u.id]); return this.state.gradientDepth === 0 && (this.state.activeTape.forEach((u) => { for (let c of u.saved) @@ -4428,15 +4604,15 @@ var vi = class { }); } customGrad(e) { - return $(gs(e), () => "The f passed in customGrad(f) must be a function."), (...t10) => { - $(t10.every((i) => i instanceof it), () => "The args passed in customGrad(f)(x1, x2,...) must all be tensors"); + return $(Ws(e), () => "The f passed in customGrad(f) must be a function."), (...t10) => { + $(t10.every((i) => i instanceof pt), () => "The args passed in customGrad(f)(x1, x2,...) must all be tensors"); let o, n = {}; t10.forEach((i, p) => { n[p] = i; }); - let s = (i, p) => (o = e(...t10, p), $(o.value instanceof it, () => "The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"), $(gs(o.gradFunc), () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."), o.value), a = (i, p) => { + let s = (i, p) => (o = e(...t10, p), $(o.value instanceof pt, () => "The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"), $(Ws(o.gradFunc), () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."), o.value), a = (i, p) => { let u = o.gradFunc(i, p), c = Array.isArray(u) ? u : [u]; - $(c.length === t10.length, () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."), $(c.every((m) => m instanceof it), () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."); + $(c.length === t10.length, () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."), $(c.every((m) => m instanceof pt), () => "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."); let l = {}; return c.forEach((m, d) => { l[d] = () => m; @@ -4455,8 +4631,8 @@ var vi = class { return this.state.tensorInfo.get(e).backend.readToGPU(e, t10); } async time(e) { - let t10 = ou(), o = await this.backend.time(e); - return o.wallMs = ou() - t10, o; + let t10 = Fu(), o = await this.backend.time(e); + return o.wallMs = Fu() - t10, o; } track(e) { return this.state.activeScope != null && (e.scopeId = this.state.activeScope.id, this.state.activeScope.track.push(e)), e; @@ -4465,44 +4641,44 @@ var vi = class { return this.state.registeredVariables; } reset() { - this.pendingBackendInitId++, this.state.dispose(), this.ENV.reset(), this.state = new Mm(); + this.pendingBackendInitId++, this.state.dispose(), this.ENV.reset(), this.state = new ed(); for (let e in this.registry) this.disposeRegisteredKernels(e), this.registry[e].dispose(), delete this.registry[e]; this.backendName = null, this.backendInstance = null, this.pendingBackendInit = null; } }; -vi.nextTensorId = 0; -vi.nextVariableId = 0; -function Nz(r) { - let e = Wc(We(r), "float32"); +Qi.nextTensorId = 0; +Qi.nextVariableId = 0; +function $G(r) { + let e = pl(Ue(r), "float32"); return T.makeTensor(e, r, "float32"); } -function Hb() { - let r = Tb(); +function aw() { + let r = GC(); if (r._tfengine == null) { - let e = new Uc(r); - r._tfengine = new vi(e); + let e = new cl(r); + r._tfengine = new Qi(e); } - return jI(r._tfengine.ENV), g0(() => r._tfengine), r._tfengine; + return l0(r._tfengine.ENV), A0(() => r._tfengine), r._tfengine; } -var T = Hb(); -function Tz(r, e) { +var T = aw(); +function EG(r, e) { let t10 = { a: r, b: e }; - return T.runKernel(eo, t10); + return T.runKernel(no, t10); } -var ki = {}; -Ge(ki, { isBrowser: () => qb, isMobile: () => Ez, mockIsMobile: () => $z }); -function _z() { +var Zi = {}; +He(Zi, { isBrowser: () => uw, isMobile: () => AG, mockIsMobile: () => DG }); +function RG() { return typeof navigator != "undefined" && navigator != null; } -var Kb; -function $z(r) { - Kb = r; +var iw; +function DG(r) { + iw = r; } -function Ez(r) { - if (Kb !== void 0) - return Kb; - if (r || _z()) { +function AG(r) { + if (iw !== void 0) + return iw; + if (r || RG()) { if (r || (r = navigator), r.product === "ReactNative") return true; let e = r.userAgent || r.vendor || (typeof window != "undefined" ? window.opera : ""); @@ -4514,53 +4690,52 @@ function Ez(r) { } return false; } -function qb() { +function uw() { return typeof window != "undefined" && window.document != null || typeof WorkerGlobalScope != "undefined"; } -var oo = O(); -oo.registerFlag("DEBUG", () => false, (r) => { +var _r = P(); +_r.registerFlag("DEBUG", () => false, (r) => { r && console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance."); }); -oo.registerFlag("IS_BROWSER", () => qb()); -oo.registerFlag("IS_NODE", () => typeof process != "undefined" && typeof process.versions != "undefined" && typeof process.versions.node != "undefined"); -oo.registerFlag("IS_CHROME", () => typeof navigator != "undefined" && navigator != null && navigator.userAgent != null && /Chrome/.test(navigator.userAgent) && /Google Inc/.test(navigator.vendor)); -oo.registerFlag("PROD", () => false); -oo.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY", () => oo.getBool("DEBUG")); -oo.registerFlag("DEPRECATION_WARNINGS_ENABLED", () => true); -oo.registerFlag("IS_TEST", () => false); -oo.registerFlag("CHECK_COMPUTATION_FOR_ERRORS", () => true); -oo.registerFlag("WRAP_TO_IMAGEBITMAP", () => false); -oo.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU", () => false); -oo.registerFlag("USE_SETTIMEOUTCUSTOM", () => false); -function or(r, e) { +_r.registerFlag("IS_BROWSER", () => uw()); +_r.registerFlag("IS_NODE", () => typeof process != "undefined" && typeof process.versions != "undefined" && typeof process.versions.node != "undefined"); +_r.registerFlag("IS_CHROME", () => typeof navigator != "undefined" && navigator != null && navigator.userAgent != null && /Chrome/.test(navigator.userAgent) && /Google Inc/.test(navigator.vendor)); +_r.registerFlag("IS_SAFARI", () => typeof navigator != "undefined" && navigator != null && navigator.userAgent != null && /Safari/.test(navigator.userAgent) && /Apple/.test(navigator.vendor)); +_r.registerFlag("PROD", () => false); +_r.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY", () => _r.getBool("DEBUG")); +_r.registerFlag("DEPRECATION_WARNINGS_ENABLED", () => true); +_r.registerFlag("IS_TEST", () => false); +_r.registerFlag("CHECK_COMPUTATION_FOR_ERRORS", () => _r.getBool("DEBUG")); +_r.registerFlag("WRAP_TO_IMAGEBITMAP", () => false); +_r.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU", () => false); +_r.registerFlag("USE_SETTIMEOUTCUSTOM", () => false); +function ar(r, e) { let t10 = r; - if (Bt(r)) + if (Pt(r)) return e === "string" ? [] : [r.length]; - if (typeof r == "object") { - if ("texture" in r) { - let s = r.channels || "RGBA"; - return [r.height, r.width * s.length]; - } else if ("buffer" in r && !(r.buffer instanceof ArrayBuffer)) - return [r.buffer.size / (e == null ? 4 : up(e))]; - } + if (Zm(r)) { + let n = r.channels || "RGBA"; + return [r.height, r.width * n.length]; + } else if (Jm(r)) + return [r.buffer.size / (e == null ? 4 : Vp(e))]; if (!Array.isArray(r)) return []; - let n = []; - for (; Array.isArray(t10) || Bt(t10) && e !== "string"; ) - n.push(t10.length), t10 = t10[0]; - return Array.isArray(r) && O().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY") && w0(r, n, []), n; + let o = []; + for (; Array.isArray(t10) || Pt(t10) && e !== "string"; ) + o.push(t10.length), t10 = t10[0]; + return Array.isArray(r) && P().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY") && B0(r, o, []), o; } -function w0(r, e, t10) { - if (t10 = t10 || [], !Array.isArray(r) && !Bt(r)) { +function B0(r, e, t10) { + if (t10 = t10 || [], !Array.isArray(r) && !Pt(r)) { $(e.length === 0, () => `Element arr[${t10.join("][")}] is a primitive, but should be an array/TypedArray of ${e[0]} elements`); return; } $(e.length > 0, () => `Element arr[${t10.join("][")}] should be a primitive, but is an array of ${r.length} elements`), $(r.length === e[0], () => `Element arr[${t10.join("][")}] should have ${e[0]} elements, but has ${r.length} elements`); let o = e.slice(1); for (let n = 0; n < r.length; ++n) - w0(r[n], o, t10.concat(n)); + B0(r[n], o, t10.concat(n)); } -function S0(r, e, t10, o) { +function L0(r, e, t10, o) { if (r !== "string_or_numeric") { if (r == null) throw new Error("Expected dtype cannot be null."); @@ -4569,78 +4744,78 @@ function S0(r, e, t10, o) { } } function v(r, e, t10, o = "numeric") { - if (r instanceof it) - return S0(o, r.dtype, e, t10), r; - let n = pp(r); - if (n !== "string" && ["bool", "int32", "float32"].indexOf(o) >= 0 && (n = o), S0(o, n, e, t10), r == null || !Bt(r) && !Array.isArray(r) && typeof r != "number" && typeof r != "boolean" && typeof r != "string") { + if (r instanceof pt) + return L0(o, r.dtype, e, t10), r; + let n = ki(r); + if (n !== "string" && ["bool", "int32", "float32"].indexOf(o) >= 0 && (n = o), L0(o, n, e, t10), r == null || !Pt(r) && !Array.isArray(r) && typeof r != "number" && typeof r != "boolean" && typeof r != "string") { let p = r == null ? "null" : r.constructor.name; throw new Error(`Argument '${e}' passed to '${t10}' must be a Tensor or TensorLike, but got '${p}'`); } - let s = or(r, n); - !Bt(r) && !Array.isArray(r) && (r = [r]); - let i = n !== "string" ? Ap(r, n) : os(r, [], true); + let s = ar(r, n); + !Pt(r) && !Array.isArray(r) && (r = [r]); + let i = n !== "string" ? Zp(r, n) : Es(r, [], true); return T.makeTensor(i, s, n); } -function _a(r, e, t10, o = "numeric") { +function Ja(r, e, t10, o = "numeric") { if (!Array.isArray(r)) throw new Error(`Argument ${e} passed to ${t10} must be a \`Tensor[]\` or \`TensorLike[]\``); return r.map((s, a) => v(s, `${e}[${a}]`, t10, o)); } -var jb = "__op"; +var pw = "__op"; function N(r) { let e = Object.keys(r); if (e.length !== 1) throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${e.length} keys.`); let t10 = e[0], o = r[t10]; - t10.endsWith("_") && (t10 = t10.substring(0, t10.length - 1)), t10 = t10 + jb; + t10.endsWith("_") && (t10 = t10.substring(0, t10.length - 1)), t10 = t10 + pw; let n = (...s) => { T.startScope(t10); try { let a = o(...s); - return Qi(a) && console.error("Cannot return a Promise inside of tidy."), T.endScope(a), a; + return Tu(a) && console.error("Cannot return a Promise inside of tidy."), T.endScope(a), a; } catch (a) { throw T.endScope(null), a; } }; return Object.defineProperty(n, "name", { value: t10, configurable: true }), n; } -function Az(r, e) { +function FG(r, e) { let t10 = v(r, "real", "complex"), o = v(e, "imag", "complex"); - gt(t10.shape, o.shape, `real and imag shapes, ${t10.shape} and ${o.shape}, must match in call to tf.complex().`); + xt(t10.shape, o.shape, `real and imag shapes, ${t10.shape} and ${o.shape}, must match in call to tf.complex().`); let n = { real: t10, imag: o }; - return T.runKernel(ri, n); + return T.runKernel(Ti, n); } -var Tr = N({ complex_: Az }); -function xr(r, e, t10, o) { +var $r = N({ complex_: FG }); +function wr(r, e, t10, o) { if (o == null) - o = pp(r); + o = ki(r); else if (o === "complex64") throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag)."); - if (typeof r == "object" && ("texture" in r || "buffer" in r && !(r.buffer instanceof ArrayBuffer))) { + if (Jm(r) || Zm(r)) { if (o !== "float32" && o !== "int32") throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${o}.`); return T.backend.createTensorFromGPUData(r, e || t10, o); } - if (!Bt(r) && !Array.isArray(r) && typeof r != "number" && typeof r != "boolean" && typeof r != "string") + if (!Pt(r) && !Array.isArray(r) && typeof r != "number" && typeof r != "boolean" && typeof r != "string") throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray"); if (e != null) { - bt(e); - let n = We(e), s = We(t10); + Ct(e); + let n = Ue(e), s = Ue(t10); $(n === s, () => `Based on the provided shape, [${e}], the tensor should have ${n} values but has ${s}`); for (let a = 0; a < t10.length; ++a) { - let i = t10[a], p = a === t10.length - 1 ? i !== We(e.slice(a)) : true; + let i = t10[a], p = a === t10.length - 1 ? i !== Ue(e.slice(a)) : true; $(t10[a] === e[a] || !p, () => `Error creating a new Tensor. Inferred shape (${t10}) does not match the provided shape (${e}). `); } } - return !Bt(r) && !Array.isArray(r) && (r = [r]), e = e || t10, r = o !== "string" ? Ap(r, o) : os(r, [], true), T.makeTensor(r, e, o); + return !Pt(r) && !Array.isArray(r) && (r = [r]), e = e || t10, r = o !== "string" ? Zp(r, o) : Es(r, [], true), T.makeTensor(r, e, o); } -function nr(r, e, t10) { - let o = or(r, t10); - return xr(r, e, o, t10); +function ir(r, e, t10) { + let o = ar(r, t10); + return wr(r, e, o, t10); } -var Zc = { float32: 4, float16: 2, int32: 4, uint16: 2, uint8: 1, bool: 1, complex64: 8 }; -var Lm = 4; -async function v0(r, e) { +var Cl = { float32: 4, float16: 2, int32: 4, uint16: 2, uint8: 1, bool: 1, complex64: 8 }; +var td = 4; +async function V0(r, e) { let t10 = [], o = [], n = Array.isArray(r) ? r.map((a) => a.name) : Object.keys(r); for (let a = 0; a < n.length; ++a) { let i = n[a], p = Array.isArray(r) ? r[a].tensor : r[i]; @@ -4649,10 +4824,10 @@ async function v0(r, e) { let u = { name: i, shape: p.shape, dtype: p.dtype }; if (p.dtype === "string") { let c = new Promise(async (l) => { - let m = await p.bytes(), d = m.reduce((g, x) => g + x.length, 0) + Lm * m.length, f = new Uint8Array(d), h = 0; + let m = await p.bytes(), d = m.reduce((g, x) => g + x.length, 0) + td * m.length, f = new Uint8Array(d), h = 0; for (let g = 0; g < m.length; g++) { let x = m[g], b = new Uint8Array(new Uint32Array([x.length]).buffer); - f.set(b, h), h += Lm, f.set(x, h), h += x.length; + f.set(b, h), h += td, f.set(x, h), h += x.length; } l(f); }); @@ -4662,12 +4837,12 @@ async function v0(r, e) { e != null && (u.group = e), t10.push(u); } let s = await Promise.all(o); - return { data: Rz(s), specs: t10 }; + return { data: PG(s), specs: t10 }; } -function Bm(r, e) { +function rd(r, e) { let t10 = {}, o, n = 0; for (let s of e) { - let a = s.name, i = s.dtype, p = s.shape, u = We(p), c; + let a = s.name, i = s.dtype, p = s.shape, u = Ue(p), c; if ("quantization" in s) { let l = s.quantization; if (l.dtype === "uint8" || l.dtype === "uint16") { @@ -4678,7 +4853,7 @@ function Bm(r, e) { throw new Error(`Weight ${s.name} is quantized with ${l.dtype} which only supports weights of type float32 not ${i}.`); } else throw new Error(`Weight ${s.name} has unknown quantization dtype ${l.dtype}. Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.`); - let m = Zc[l.dtype], d = r.slice(n, n + u * m), f = l.dtype === "uint8" ? new Uint8Array(d) : new Uint16Array(d); + let m = Cl[l.dtype], d = r.slice(n, n + u * m), f = l.dtype === "uint8" ? new Uint8Array(d) : new Uint16Array(d); if (i === "float32") if (l.dtype === "uint8" || l.dtype === "uint16") { c = new Float32Array(f.length); @@ -4687,7 +4862,7 @@ function Bm(r, e) { c[h] = g * l.scale + l.min; } } else if (l.dtype === "float16") - o === void 0 && (o = Pz()), c = o(f); + o === void 0 && (o = BG()), c = o(f); else throw new Error(`Unsupported quantization type ${l.dtype} for weight type float32.`); else if (i === "int32") { @@ -4702,16 +4877,16 @@ function Bm(r, e) { throw new Error(`Unsupported dtype in weight '${a}': ${i}`); n += u * m; } else if (i === "string") { - let l = We(s.shape); + let l = Ue(s.shape); c = []; for (let m = 0; m < l; m++) { - let d = new Uint32Array(r.slice(n, n + Lm))[0]; - n += Lm; + let d = new Uint32Array(r.slice(n, n + td))[0]; + n += td; let f = new Uint8Array(r.slice(n, n + d)); c.push(f), n += d; } } else { - let l = Zc[i], m = r.slice(n, n + u * l); + let l = Cl[i], m = r.slice(n, n + u * l); if (i === "float32") c = new Float32Array(m); else if (i === "int32") @@ -4723,17 +4898,17 @@ function Bm(r, e) { let d = new Float32Array(c.length / 2), f = new Float32Array(c.length / 2); for (let x = 0; x < d.length; x++) d[x] = c[x * 2], f[x] = c[x * 2 + 1]; - let h = nr(d, p, "float32"), g = nr(f, p, "float32"); - t10[a] = Tr(h, g), h.dispose(), g.dispose(); + let h = ir(d, p, "float32"), g = ir(f, p, "float32"); + t10[a] = $r(h, g), h.dispose(), g.dispose(); } else throw new Error(`Unsupported dtype in weight '${a}': ${i}`); n += u * l; } - i !== "complex64" && (t10[a] = nr(c, p, i)); + i !== "complex64" && (t10[a] = ir(c, p, i)); } return t10; } -function Rz(r) { +function PG(r) { if (r === null) throw new Error(`Invalid input value: ${JSON.stringify(r)}`); let e = 0, t10 = []; @@ -4746,20 +4921,20 @@ function Rz(r) { o.set(new Uint8Array(s.buffer), n), n += s.byteLength; }), o.buffer; } -var Xb = typeof Buffer != "undefined" && (typeof Blob == "undefined" || typeof atob == "undefined" || typeof btoa == "undefined"); -function I0(r) { - return Xb ? Buffer.byteLength(r) : new Blob([r]).size; +var cw = typeof Buffer != "undefined" && (typeof Blob == "undefined" || typeof atob == "undefined" || typeof btoa == "undefined"); +function z0(r) { + return cw ? Buffer.byteLength(r) : new Blob([r]).size; } -function k0(r) { - if (Xb) +function W0(r) { + if (cw) return Buffer.from(r).toString("base64"); let e = new Uint8Array(r), t10 = ""; for (let o = 0, n = e.length; o < n; o++) t10 += String.fromCharCode(e[o]); return btoa(t10); } -function N0(r) { - if (Xb) { +function U0(r) { + if (cw) { let o = Buffer.from(r, "base64"); return o.buffer.slice(o.byteOffset, o.byteOffset + o.byteLength); } @@ -4768,7 +4943,7 @@ function N0(r) { t10.set([e.charCodeAt(o)], o); return t10.buffer; } -function Fp(r) { +function tc(r) { if (r.length === 1) return r[0]; let e = 0; @@ -4780,18 +4955,18 @@ function Fp(r) { t10.set(new Uint8Array(n), o), o += n.byteLength; }), t10.buffer; } -function Yb(r) { +function lw(r) { let e = "/"; for (r = r.trim(); r.endsWith(e); ) r = r.slice(0, r.length - 1); let t10 = r.split(e); return t10[t10.length - 1]; } -function Vm(r, e) { +function od(r, e) { let t10 = { modelTopology: r.modelTopology, format: r.format, generatedBy: r.generatedBy, convertedBy: r.convertedBy, weightsManifest: e }; return r.signature != null && (t10.signature = r.signature), r.userDefinedMetadata != null && (t10.userDefinedMetadata = r.userDefinedMetadata), r.modelInitializer != null && (t10.modelInitializer = r.modelInitializer), r.initializerSignature != null && (t10.initializerSignature = r.initializerSignature), r.trainingConfig != null && (t10.trainingConfig = r.trainingConfig), t10; } -function Qb(r, e, t10) { +function mw(r, e, t10) { let o = { modelTopology: r.modelTopology, format: r.format, generatedBy: r.generatedBy, convertedBy: r.convertedBy }; if (r.trainingConfig != null && (o.trainingConfig = r.trainingConfig), r.weightsManifest != null) { if (!e) @@ -4802,22 +4977,22 @@ function Qb(r, e, t10) { } return r.signature != null && (o.signature = r.signature), r.userDefinedMetadata != null && (o.userDefinedMetadata = r.userDefinedMetadata), r.modelInitializer != null && (o.modelInitializer = r.modelInitializer), r.initializerSignature != null && (o.initializerSignature = r.initializerSignature), o; } -async function Op(r, e) { +async function rc(r, e) { let t10, o; - return r.weightsManifest != null && ([t10, o] = await e(r.weightsManifest)), Qb(r, t10, o); + return r.weightsManifest != null && ([t10, o] = await e(r.weightsManifest)), mw(r, t10, o); } -function Ms(r) { +function ga(r) { if (r.modelTopology instanceof ArrayBuffer) throw new Error("Expected JSON model topology, received ArrayBuffer."); - return { dateSaved: /* @__PURE__ */ new Date(), modelTopologyType: "JSON", modelTopologyBytes: r.modelTopology == null ? 0 : I0(JSON.stringify(r.modelTopology)), weightSpecsBytes: r.weightSpecs == null ? 0 : I0(JSON.stringify(r.weightSpecs)), weightDataBytes: r.weightData == null ? 0 : r.weightData.byteLength }; + return { dateSaved: /* @__PURE__ */ new Date(), modelTopologyType: "JSON", modelTopologyBytes: r.modelTopology == null ? 0 : z0(JSON.stringify(r.modelTopology)), weightSpecsBytes: r.weightSpecs == null ? 0 : z0(JSON.stringify(r.weightSpecs)), weightDataBytes: r.weightData == null ? 0 : r.weightData.byteLength }; } -function zm(r) { +function nd(r) { let e = []; for (let t10 of r) e.push(...t10.weights); return e; } -function Dz() { +function OG() { let r = (t10) => { let o = t10 << 13, n = 0; for (; !(o & 8388608); ) @@ -4831,7 +5006,7 @@ function Dz() { e[t10] = 939524096 + (t10 - 1024 << 13); return e; } -function Fz() { +function MG() { let r = new Uint32Array(64); r[0] = 0, r[31] = 1199570944, r[32] = 2147483648, r[63] = 3347054592; for (let e = 1; e < 31; e++) @@ -4840,14 +5015,14 @@ function Fz() { r[e] = 2147483648 + (e - 32 << 23); return r; } -function Oz() { +function LG() { let r = new Uint32Array(64); for (let e = 0; e < 64; e++) r[e] = 1024; return r[0] = r[32] = 0, r; } -function Pz() { - let r = Dz(), e = Fz(), t10 = Oz(); +function BG() { + let r = OG(), e = MG(), t10 = LG(); return (o) => { let n = new ArrayBuffer(4 * o.length), s = new Uint32Array(n); for (let a = 0; a < o.length; a++) { @@ -4857,56 +5032,56 @@ function Pz() { return new Float32Array(n); }; } -var mt = class { +var ft = class { constructor() { this.saveRouters = [], this.loadRouters = []; } static getInstance() { - return mt.instance == null && (mt.instance = new mt()), mt.instance; + return ft.instance == null && (ft.instance = new ft()), ft.instance; } static registerSaveRouter(e) { - mt.getInstance().saveRouters.push(e); + ft.getInstance().saveRouters.push(e); } static registerLoadRouter(e) { - mt.getInstance().loadRouters.push(e); + ft.getInstance().loadRouters.push(e); } static getSaveHandlers(e) { - return mt.getHandlers(e, "save"); + return ft.getHandlers(e, "save"); } static getLoadHandlers(e, t10) { - return mt.getHandlers(e, "load", t10); + return ft.getHandlers(e, "load", t10); } static getHandlers(e, t10, o) { let n = []; - return (t10 === "load" ? mt.getInstance().loadRouters : mt.getInstance().saveRouters).forEach((a) => { + return (t10 === "load" ? ft.getInstance().loadRouters : ft.getInstance().saveRouters).forEach((a) => { let i = a(e, o); i !== null && n.push(i); }), n; } }; -var T0 = (r) => mt.registerSaveRouter(r); -var _0 = (r) => mt.registerLoadRouter(r); -var $0 = (r) => mt.getSaveHandlers(r); -var E0 = (r, e) => mt.getLoadHandlers(r, e); -var Zb = "tensorflowjs"; -var Jb = 1; -var nu = "models_store"; -var Ni = "model_info_store"; -function A0() { - if (!O().getBool("IS_BROWSER")) +var G0 = (r) => ft.registerSaveRouter(r); +var H0 = (r) => ft.registerLoadRouter(r); +var K0 = (r) => ft.getSaveHandlers(r); +var q0 = (r, e) => ft.getLoadHandlers(r, e); +var dw = "tensorflowjs"; +var fw = 1; +var Pu = "models_store"; +var Ji = "model_info_store"; +function j0() { + if (!P().getBool("IS_BROWSER")) throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser."); let r = typeof window == "undefined" ? self : window, e = r.indexedDB || r.mozIndexedDB || r.webkitIndexedDB || r.msIndexedDB || r.shimIndexedDB; if (e == null) throw new Error("The current browser does not appear to support IndexedDB."); return e; } -function eC(r) { +function hw(r) { let e = r.result; - e.createObjectStore(nu, { keyPath: "modelPath" }), e.createObjectStore(Ni, { keyPath: "modelPath" }); + e.createObjectStore(Pu, { keyPath: "modelPath" }), e.createObjectStore(Ji, { keyPath: "modelPath" }); } -var Ls = class { +var xa = class { constructor(e) { - if (this.indexedDB = A0(), e == null || !e) + if (this.indexedDB = j0(), e == null || !e) throw new Error("For IndexedDB, modelPath must not be null, undefined or empty."); this.modelPath = e; } @@ -4920,23 +5095,34 @@ var Ls = class { } databaseAction(e, t10) { return new Promise((o, n) => { - let s = this.indexedDB.open(Zb, Jb); - s.onupgradeneeded = () => eC(s), s.onsuccess = () => { + let s = this.indexedDB.open(dw, fw); + s.onupgradeneeded = () => hw(s), s.onsuccess = () => { let a = s.result; if (t10 == null) { - let i = a.transaction(nu, "readonly"), u = i.objectStore(nu).get(this.modelPath); + let i = a.transaction(Pu, "readonly"), u = i.objectStore(Pu).get(this.modelPath); u.onsuccess = () => { if (u.result == null) return a.close(), n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`)); o(u.result.modelArtifacts); }, u.onerror = (c) => (a.close(), n(u.error)), i.oncomplete = () => a.close(); } else { - let i = Ms(t10), p = a.transaction(Ni, "readwrite"), u = p.objectStore(Ni), c = u.put({ modelPath: this.modelPath, modelArtifactsInfo: i }), l; + let i = ga(t10), p = a.transaction(Ji, "readwrite"), u = p.objectStore(Ji), c; + try { + c = u.put({ modelPath: this.modelPath, modelArtifactsInfo: i }); + } catch (m) { + return n(m); + } + let l; c.onsuccess = () => { - l = a.transaction(nu, "readwrite"); - let d = l.objectStore(nu).put({ modelPath: this.modelPath, modelArtifacts: t10, modelArtifactsInfo: i }); + l = a.transaction(Pu, "readwrite"); + let m = l.objectStore(Pu), d; + try { + d = m.put({ modelPath: this.modelPath, modelArtifacts: t10, modelArtifactsInfo: i }); + } catch (f) { + return n(f); + } d.onsuccess = () => o({ modelArtifactsInfo: i }), d.onerror = (f) => { - u = p.objectStore(Ni); + u = p.objectStore(Ji); let h = u.delete(this.modelPath); h.onsuccess = () => (a.close(), n(d.error)), h.onerror = (g) => (a.close(), n(d.error)); }; @@ -4948,25 +5134,25 @@ var Ls = class { }); } }; -Ls.URL_SCHEME = "indexeddb://"; -var R0 = (r) => O().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(Ls.URL_SCHEME) ? Mz(r.slice(Ls.URL_SCHEME.length)) : null; -mt.registerSaveRouter(R0); -mt.registerLoadRouter(R0); -function Mz(r) { - return new Ls(r); +xa.URL_SCHEME = "indexeddb://"; +var X0 = (r) => P().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(xa.URL_SCHEME) ? zG(r.slice(xa.URL_SCHEME.length)) : null; +ft.registerSaveRouter(X0); +ft.registerLoadRouter(X0); +function zG(r) { + return new xa(r); } -function Lz(r) { - return r.startsWith(Ls.URL_SCHEME) ? r.slice(Ls.URL_SCHEME.length) : r; +function VG(r) { + return r.startsWith(xa.URL_SCHEME) ? r.slice(xa.URL_SCHEME.length) : r; } -var Wm = class { +var sd = class { constructor() { - this.indexedDB = A0(); + this.indexedDB = j0(); } async listModels() { return new Promise((e, t10) => { - let o = this.indexedDB.open(Zb, Jb); - o.onupgradeneeded = () => eC(o), o.onsuccess = () => { - let n = o.result, s = n.transaction(Ni, "readonly"), i = s.objectStore(Ni).getAll(); + let o = this.indexedDB.open(dw, fw); + o.onupgradeneeded = () => hw(o), o.onsuccess = () => { + let n = o.result, s = n.transaction(Ji, "readonly"), i = s.objectStore(Ji).getAll(); i.onsuccess = () => { let p = {}; for (let u of i.result) @@ -4977,17 +5163,17 @@ var Wm = class { }); } async removeModel(e) { - return e = Lz(e), new Promise((t10, o) => { - let n = this.indexedDB.open(Zb, Jb); - n.onupgradeneeded = () => eC(n), n.onsuccess = () => { - let s = n.result, a = s.transaction(Ni, "readwrite"), i = a.objectStore(Ni), p = i.get(e), u; + return e = VG(e), new Promise((t10, o) => { + let n = this.indexedDB.open(dw, fw); + n.onupgradeneeded = () => hw(n), n.onsuccess = () => { + let s = n.result, a = s.transaction(Ji, "readwrite"), i = a.objectStore(Ji), p = i.get(e), u; p.onsuccess = () => { if (p.result == null) return s.close(), o(new Error(`Cannot find model with path '${e}' in IndexedDB.`)); { let c = i.delete(e), l = () => { - u = s.transaction(nu, "readwrite"); - let d = u.objectStore(nu).delete(e); + u = s.transaction(Pu, "readwrite"); + let d = u.objectStore(Pu).delete(e); d.onsuccess = () => t10(p.result.modelArtifactsInfo), d.onerror = (f) => o(p.error); }; c.onsuccess = l, c.onerror = (m) => (l(), s.close(), o(p.error)); @@ -4999,48 +5185,48 @@ var Wm = class { }); } }; -var $a = "/"; -var Pp = "tensorflowjs_models"; -var D0 = "info"; -var Bz = "model_topology"; -var Vz = "weight_specs"; -var zz = "weight_data"; -var Wz = "model_metadata"; -function F0(r) { - return { info: [Pp, r, D0].join($a), topology: [Pp, r, Bz].join($a), weightSpecs: [Pp, r, Vz].join($a), weightData: [Pp, r, zz].join($a), modelMetadata: [Pp, r, Wz].join($a) }; +var ei = "/"; +var oc = "tensorflowjs_models"; +var Y0 = "info"; +var WG = "model_topology"; +var UG = "weight_specs"; +var GG = "weight_data"; +var HG = "model_metadata"; +function Q0(r) { + return { info: [oc, r, Y0].join(ei), topology: [oc, r, WG].join(ei), weightSpecs: [oc, r, UG].join(ei), weightData: [oc, r, GG].join(ei), modelMetadata: [oc, r, HG].join(ei) }; } -function O0(r) { +function Z0(r) { for (let e of Object.values(r)) window.localStorage.removeItem(e); } -function Uz(r) { - let e = r.split($a); +function KG(r) { + let e = r.split(ei); if (e.length < 3) throw new Error(`Invalid key format: ${r}`); - return e.slice(1, e.length - 1).join($a); + return e.slice(1, e.length - 1).join(ei); } -function Gz(r) { - return r.startsWith(Bs.URL_SCHEME) ? r.slice(Bs.URL_SCHEME.length) : r; +function qG(r) { + return r.startsWith(ya.URL_SCHEME) ? r.slice(ya.URL_SCHEME.length) : r; } -var Bs = class { +var ya = class { constructor(e) { - if (!O().getBool("IS_BROWSER") || typeof window == "undefined" || typeof window.localStorage == "undefined") + if (!P().getBool("IS_BROWSER") || typeof window == "undefined" || typeof window.localStorage == "undefined") throw new Error("The current environment does not support local storage."); if (this.LS = window.localStorage, e == null || !e) throw new Error("For local storage, modelPath must not be null, undefined or empty."); - this.modelPath = e, this.keys = F0(this.modelPath); + this.modelPath = e, this.keys = Q0(this.modelPath); } async save(e) { if (e.modelTopology instanceof ArrayBuffer) throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet."); { - let t10 = JSON.stringify(e.modelTopology), o = JSON.stringify(e.weightSpecs), n = Ms(e); + let t10 = JSON.stringify(e.modelTopology), o = JSON.stringify(e.weightSpecs), n = ga(e); try { - this.LS.setItem(this.keys.info, JSON.stringify(n)), this.LS.setItem(this.keys.topology, t10), this.LS.setItem(this.keys.weightSpecs, o), this.LS.setItem(this.keys.weightData, k0(e.weightData)); + this.LS.setItem(this.keys.info, JSON.stringify(n)), this.LS.setItem(this.keys.topology, t10), this.LS.setItem(this.keys.weightSpecs, o), this.LS.setItem(this.keys.weightData, W0(e.weightData)); let s = { format: e.format, generatedBy: e.generatedBy, convertedBy: e.convertedBy, signature: e.signature != null ? e.signature : void 0, userDefinedMetadata: e.userDefinedMetadata != null ? e.userDefinedMetadata : void 0, modelInitializer: e.modelInitializer != null ? e.modelInitializer : void 0, initializerSignature: e.initializerSignature != null ? e.initializerSignature : void 0, trainingConfig: e.trainingConfig != null ? e.trainingConfig : void 0 }; return this.LS.setItem(this.keys.modelMetadata, JSON.stringify(s)), { modelArtifactsInfo: n }; } catch (s) { - throw O0(this.keys), new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`); + throw Z0(this.keys), new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`); } } } @@ -5066,101 +5252,101 @@ var Bs = class { let a = this.LS.getItem(this.keys.weightData); if (a == null) throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`); - return t10.weightData = N0(a), t10; + return t10.weightData = U0(a), t10; } }; -Bs.URL_SCHEME = "localstorage://"; -var P0 = (r) => O().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(Bs.URL_SCHEME) ? Hz(r.slice(Bs.URL_SCHEME.length)) : null; -mt.registerSaveRouter(P0); -mt.registerLoadRouter(P0); -function Hz(r) { - return new Bs(r); +ya.URL_SCHEME = "localstorage://"; +var J0 = (r) => P().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(ya.URL_SCHEME) ? jG(r.slice(ya.URL_SCHEME.length)) : null; +ft.registerSaveRouter(J0); +ft.registerLoadRouter(J0); +function jG(r) { + return new ya(r); } -var Um = class { +var ad = class { constructor() { - $(O().getBool("IS_BROWSER"), () => "Current environment is not a web browser"), $(typeof window == "undefined" || typeof window.localStorage != "undefined", () => "Current browser does not appear to support localStorage"), this.LS = window.localStorage; + $(P().getBool("IS_BROWSER"), () => "Current environment is not a web browser"), $(typeof window == "undefined" || typeof window.localStorage != "undefined", () => "Current browser does not appear to support localStorage"), this.LS = window.localStorage; } async listModels() { - let e = {}, t10 = Pp + $a, o = $a + D0; + let e = {}, t10 = oc + ei, o = ei + Y0; for (let n = 0; n < this.LS.length; ++n) { let s = this.LS.key(n); if (s.startsWith(t10) && s.endsWith(o)) { - let a = Uz(s); + let a = KG(s); e[a] = JSON.parse(this.LS.getItem(s)); } } return e; } async removeModel(e) { - e = Gz(e); - let t10 = F0(e); + e = qG(e); + let t10 = Q0(e); if (this.LS.getItem(t10.info) == null) throw new Error(`Cannot find model at path '${e}'`); let o = JSON.parse(this.LS.getItem(t10.info)); - return O0(t10), o; + return Z0(t10), o; } }; -var Mp = "://"; -var Xt = class { +var nc = "://"; +var Qt = class { constructor() { this.managers = {}; } static getInstance() { - return Xt.instance == null && (Xt.instance = new Xt()), Xt.instance; + return Qt.instance == null && (Qt.instance = new Qt()), Qt.instance; } static registerManager(e, t10) { - $(e != null, () => "scheme must not be undefined or null."), e.endsWith(Mp) && (e = e.slice(0, e.indexOf(Mp))), $(e.length > 0, () => "scheme must not be an empty string."); - let o = Xt.getInstance(); + $(e != null, () => "scheme must not be undefined or null."), e.endsWith(nc) && (e = e.slice(0, e.indexOf(nc))), $(e.length > 0, () => "scheme must not be an empty string."); + let o = Qt.getInstance(); $(o.managers[e] == null, () => `A model store manager is already registered for scheme '${e}'.`), o.managers[e] = t10; } static getManager(e) { - let t10 = Xt.getInstance().managers[e]; + let t10 = Qt.getInstance().managers[e]; if (t10 == null) throw new Error(`Cannot find model manager for scheme '${e}'`); return t10; } static getSchemes() { - return Object.keys(Xt.getInstance().managers); + return Object.keys(Qt.getInstance().managers); } }; -function Gm(r) { - if (r.indexOf(Mp) === -1) - throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Xt.getSchemes().join(",")}`); - return { scheme: r.split(Mp)[0], path: r.split(Mp)[1] }; +function id(r) { + if (r.indexOf(nc) === -1) + throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Qt.getSchemes().join(",")}`); + return { scheme: r.split(nc)[0], path: r.split(nc)[1] }; } -async function M0(r, e, t10 = false) { +async function ek(r, e, t10 = false) { $(r !== e, () => `Old path and new path are the same: '${r}'`); - let o = mt.getLoadHandlers(r); + let o = ft.getLoadHandlers(r); $(o.length > 0, () => `Copying failed because no load handler is found for source URL ${r}.`), $(o.length < 2, () => `Copying failed because more than one (${o.length}) load handlers for source URL ${r}.`); - let n = o[0], s = mt.getSaveHandlers(e); + let n = o[0], s = ft.getSaveHandlers(e); $(s.length > 0, () => `Copying failed because no save handler is found for destination URL ${e}.`), $(s.length < 2, () => `Copying failed because more than one (${o.length}) save handlers for destination URL ${e}.`); - let a = s[0], i = Gm(r).scheme, p = Gm(r).path, u = i === Gm(r).scheme, c = await n.load(); - t10 && u && await Xt.getManager(i).removeModel(p); + let a = s[0], i = id(r).scheme, p = id(r).path, u = i === id(r).scheme, c = await n.load(); + t10 && u && await Qt.getManager(i).removeModel(p); let l = await a.save(c); - return t10 && !u && await Xt.getManager(i).removeModel(p), l.modelArtifactsInfo; + return t10 && !u && await Qt.getManager(i).removeModel(p), l.modelArtifactsInfo; } -async function L0() { - let r = Xt.getSchemes(), e = {}; +async function tk() { + let r = Qt.getSchemes(), e = {}; for (let t10 of r) { - let o = await Xt.getManager(t10).listModels(); + let o = await Qt.getManager(t10).listModels(); for (let n in o) { - let s = t10 + Mp + n; + let s = t10 + nc + n; e[s] = o[n]; } } return e; } -async function B0(r) { - let e = Gm(r); - return Xt.getManager(e.scheme).removeModel(e.path); +async function rk(r) { + let e = id(r); + return Qt.getManager(e.scheme).removeModel(e.path); } -async function V0(r, e) { - return M0(r, e, false); +async function ok(r, e) { + return ek(r, e, false); } -async function z0(r, e) { - return M0(r, e, true); +async function nk(r, e) { + return ek(r, e, true); } -var tC = class { +var gw = class { constructor() { this.messageName = "setTimeoutCustom", this.functionRefs = [], this.handledMessageCount = 0, this.hasEventListener = false; } @@ -5179,7 +5365,7 @@ var tC = class { return new TextDecoder(t10).decode(e); } setTimeoutCustom(e, t10) { - if (typeof window == "undefined" || !O().getBool("USE_SETTIMEOUTCUSTOM")) { + if (typeof window == "undefined" || !P().getBool("USE_SETTIMEOUTCUSTOM")) { setTimeout(e, t10); return; } @@ -5194,28 +5380,28 @@ var tC = class { }, true)); } isTypedArray(e) { - return e instanceof Float32Array || e instanceof Int32Array || e instanceof Uint8Array || e instanceof Uint8ClampedArray; + return qm(e); } }; -if (O().get("IS_BROWSER")) { - O().setPlatform("browser", new tC()); +if (P().get("IS_BROWSER")) { + P().setPlatform("browser", new gw()); try { - Xt.registerManager(Bs.URL_SCHEME, new Um()); + Qt.registerManager(ya.URL_SCHEME, new ad()); } catch (r) { } try { - Xt.registerManager(Ls.URL_SCHEME, new Wm()); + Qt.registerManager(xa.URL_SCHEME, new sd()); } catch (r) { } } -var Kz = { importFetch: () => W0() }; -var rC; -var oC = class { +var XG = { importFetch: () => sk() }; +var xw; +var yw = class { constructor() { - this.util = U0(), this.textEncoder = new this.util.TextEncoder(); + this.util = ak(), this.textEncoder = new this.util.TextEncoder(); } fetch(e, t10) { - return O().global.fetch != null ? O().global.fetch(e, t10) : (rC == null && (rC = Kz.importFetch()), rC(e, t10)); + return P().global.fetch != null ? P().global.fetch(e, t10) : (xw == null && (xw = XG.importFetch()), xw(e, t10)); } now() { let e = process.hrtime(); @@ -5233,231 +5419,231 @@ var oC = class { return this.util.types.isFloat32Array(e) || this.util.types.isInt32Array(e) || this.util.types.isUint8Array(e) || this.util.types.isUint8ClampedArray(e); } }; -O().get("IS_NODE") && !O().get("IS_BROWSER") && O().setPlatform("node", new oC()); -function le(r, e = "float32", t10) { - return e = e || "float32", bt(r), new st(r, e, t10); +P().get("IS_NODE") && !P().get("IS_BROWSER") && P().setPlatform("node", new yw()); +function me(r, e = "float32", t10) { + return e = e || "float32", Ct(r), new tt(r, e, t10); } -function qz(r, e) { +function YG(r, e) { let t10 = v(r, "x", "cast"); - if (!Ib(e)) + if (!zC(e)) throw new Error(`Failed to cast to unknown dtype ${e}`); if (e === "string" && t10.dtype !== "string" || e !== "string" && t10.dtype === "string") throw new Error("Only strings can be casted to strings"); let o = { x: t10 }, n = { dtype: e }; - return T.runKernel(co, o, n); + return T.runKernel(ho, o, n); } -var je = N({ cast_: qz }); -function jz(r) { +var Ye = N({ cast_: YG }); +function QG(r) { let t10 = { x: v(r, "x", "clone", "string_or_numeric") }; - return T.runKernel(mo, t10); + return T.runKernel(xo, t10); } -var Lr = N({ clone_: jz }); -function Hm(r, e = false) { +var Vr = N({ clone_: QG }); +function ud(r, e = false) { console.log(r.toString(e)); } -Hb(); -var Xz = { buffer: le, cast: je, clone: Lr, print: Hm }; -x0(Xz); -function Iie() { - O().set("PROD", true); +aw(); +var ZG = { buffer: me, cast: Ye, clone: Vr, print: ud }; +F0(ZG); +function fme() { + P().set("PROD", true); } -function vie() { - O().set("DEBUG", true); +function hme() { + P().set("DEBUG", true); } -function kie() { - O().set("DEPRECATION_WARNINGS_ENABLED", false), console.warn("TensorFlow.js deprecation warnings have been disabled."); +function gme() { + P().set("DEPRECATION_WARNINGS_ENABLED", false), console.warn("TensorFlow.js deprecation warnings have been disabled."); } -function nC(r) { - O().getBool("DEPRECATION_WARNINGS_ENABLED") && console.warn(r + " You can disable deprecation warnings with tf.disableDeprecationWarnings()."); +function bw(r) { + P().getBool("DEPRECATION_WARNINGS_ENABLED") && console.warn(r + " You can disable deprecation warnings with tf.disableDeprecationWarnings()."); } -y0(nC); -function Nie() { +P0(bw); +function xme() { T.disposeVariables(); } -function sr() { +function ur() { return T; } -function Tie() { +function yme() { return T.memory(); } -function _ie(r) { +function bme(r) { return T.profile(r); } -function Ee(r, e) { +function De(r, e) { return T.tidy(r, e); } function Ot(r) { - Qc(r).forEach((t10) => t10.dispose()); + bl(r).forEach((t10) => t10.dispose()); } -function _r(r) { +function Er(r) { return T.keep(r); } -function $ie(r) { +function Cme(r) { return T.time(r); } -function Eie(r) { +function wme(r) { return T.setBackend(r); } -function Aie() { +function Sme() { return T.ready(); } -function Rie() { +function Ime() { return T.backendName; } -function Die(r) { +function vme(r) { T.removeBackend(r); } -function Fie(r) { +function kme(r) { return T.findBackend(r); } -function Oie(r) { +function Nme(r) { return T.findBackendFactory(r); } -function Ti(r, e, t10 = 1) { +function eu(r, e, t10 = 1) { return T.registerBackend(r, e, t10); } -function Pie() { +function Tme() { return T.backend; } -function Mie(r, e) { - O().setPlatform(r, e); +function _me(r, e) { + P().setPlatform(r, e); } -function Yz(r, e) { +function JG(r, e) { let t10 = v(r, "a", "add"), o = v(e, "b", "add"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(eo, n); + return T.runKernel(no, n); } -var be = N({ add_: Yz }); -function Qz(r, e) { +var be = N({ add_: JG }); +function e4(r, e) { let t10 = v(r, "a", "floorDiv"), o = v(e, "b", "floorDiv"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(nn, n); + return T.runKernel(Cn, n); } -var Km = N({ floorDiv_: Qz }); -function Zz(r, e) { +var pd = N({ floorDiv_: e4 }); +function t4(r, e) { let t10 = v(r, "a", "div"), o = v(e, "b", "div"); - if ([t10, o] = De(t10, o), t10.dtype === "int32" && o.dtype === "int32") - return Km(t10, o); + if ([t10, o] = Oe(t10, o), t10.dtype === "int32" && o.dtype === "int32") + return pd(t10, o); let n = { a: t10, b: o }, s = {}; - return T.runKernel(Zo, n, s); + return T.runKernel(dn, n, s); } -var He = N({ div_: Zz }); -function Jz(r, e) { +var Ke = N({ div_: t4 }); +function r4(r, e) { let t10 = v(r, "a", "mul"), o = v(e, "b", "mul"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(kn, n); + return T.runKernel(Kn, n); } -var ne = N({ mul_: Jz }); -function eW(r) { +var se = N({ mul_: r4 }); +function o4(r) { let e = v(r, "x", "abs"); if (e.dtype === "complex64") { let t10 = { x: e }; - return T.runKernel(hp, t10); + return T.runKernel(_i, t10); } else { let t10 = { x: e }; - return T.runKernel(ys, t10); + return T.runKernel(Gs, t10); } } -var Yt = N({ abs_: eW }); -function tW(r) { +var Zt = N({ abs_: o4 }); +function n4(r) { let t10 = { x: v(r, "x", "acos") }; - return T.runKernel(aa, t10); + return T.runKernel(zo, t10); } -var G0 = N({ acos_: tW }); -function rW(r) { +var ik = N({ acos_: n4 }); +function s4(r) { let t10 = { x: v(r, "x", "acosh") }; - return T.runKernel(ia, t10); + return T.runKernel(Vo, t10); } -var H0 = N({ acosh_: rW }); -function oW(r) { +var uk = N({ acosh_: s4 }); +function a4(r) { $(Array.isArray(r), () => "The argument passed to tf.addN() must be a list of tensors"), $(r.length >= 1, () => `Must pass at least one tensor to tf.addN(), but got ${r.length}`); let e = r.map((n, s) => v(n, `tensors${s}`, "addN")), t10 = e[0]; e.forEach((n) => { if (n.dtype !== t10.dtype) throw new Error("All tensors passed to tf.addN() must have the same dtype"); }), e.forEach((n) => { - if (!Or(n.shape, t10.shape)) + if (!br(n.shape, t10.shape)) throw new Error("All tensors passed to tf.addN() must have the same shape"); }); let o = e; - return T.runKernel(Po, o); + return T.runKernel(Wo, o); } -var K0 = N({ addN_: oW }); -function nW(r, e = null, t10 = false) { +var pk = N({ addN_: a4 }); +function i4(r, e = null, t10 = false) { let n = { x: v(r, "x", "all", "bool") }, s = { axis: e, keepDims: t10 }; - return T.runKernel(Mo, n, s); + return T.runKernel(Uo, n, s); } -var q0 = N({ all_: nW }); -function sW(r, e = null, t10 = false) { +var ck = N({ all_: i4 }); +function u4(r, e = null, t10 = false) { let n = { x: v(r, "x", "any", "bool") }, s = { axis: e, keepDims: t10 }; - return T.runKernel(Lo, n, s); + return T.runKernel(Go, n, s); } -var j0 = N({ any_: sW }); -function aW(r, e = 0) { +var lk = N({ any_: u4 }); +function p4(r, e = 0) { let o = { x: v(r, "x", "argMax") }, n = { axis: e }; - return T.runKernel(Bo, o, n); + return T.runKernel(Hs, o, n); } -var X0 = N({ argMax_: aW }); -function iW(r, e = 0) { +var mk = N({ argMax_: p4 }); +function c4(r, e = 0) { let o = { x: v(r, "x", "argMin") }, n = { axis: e }; - return T.runKernel(ei, o, n); + return T.runKernel(Ks, o, n); } -var Y0 = N({ argMin_: iW }); -function uW(r) { +var dk = N({ argMin_: c4 }); +function l4(r) { let t10 = { x: v(r, "x", "asin") }; - return T.runKernel(ua, t10); + return T.runKernel(Ho, t10); } -var Q0 = N({ asin_: uW }); -function pW(r) { +var fk = N({ asin_: l4 }); +function m4(r) { let t10 = { x: v(r, "x", "asinh") }; - return T.runKernel(pa, t10); + return T.runKernel(Ko, t10); } -var Z0 = N({ asinh_: pW }); -function cW(r) { +var hk = N({ asinh_: m4 }); +function d4(r) { let t10 = { x: v(r, "x", "atan") }; - return T.runKernel(ca, t10); + return T.runKernel(qo, t10); } -var J0 = N({ atan_: cW }); -function lW(r, e) { +var gk = N({ atan_: d4 }); +function f4(r, e) { let t10 = v(r, "a", "atan2"), o = v(e, "b", "atan2"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(ma, n); + return T.runKernel(Xo, n); } -var ev = N({ atan2_: lW }); -function mW(r) { +var xk = N({ atan2_: f4 }); +function h4(r) { let t10 = { x: v(r, "x", "atanh") }; - return T.runKernel(la, t10); + return T.runKernel(jo, t10); } -var tv = N({ atanh_: mW }); -function dW(r, e, t10, o, n = "NHWC", s) { - let a = r[3], i = [...e, a], p = ov(n); - return au(r, i, t10, s, o, null, null, p); +var yk = N({ atanh_: h4 }); +function g4(r, e, t10, o, n = "NHWC", s) { + let a = r[3], i = [...e, a], p = Ck(n); + return Mu(r, i, t10, s, o, null, null, p); } -function aC(r, e, t10, o, n, s, a = "channelsLast") { - let [i, p] = Jc(e), u; +function ww(r, e, t10, o, n, s, a = "channelsLast") { + let [i, p] = wl(e), u; if (a === "channelsLast") u = [i, p, r[3], r[3]]; else if (a === "channelsFirst") u = [i, p, r[1], r[1]]; else throw new Error(`Unknown dataFormat ${a}`); - return au(r, u, t10, o, n, s, false, a); + return Mu(r, u, t10, o, n, s, false, a); } -function fW(r, e, t10, o, n, s, a = "NDHWC") { - let [i, p, u] = sC(e), c, l; +function x4(r, e, t10, o, n, s, a = "NDHWC") { + let [i, p, u] = Cw(e), c, l; if (a === "NDHWC") l = "channelsLast", c = [i, p, u, r[4], r[4]]; else if (a === "NCDHW") l = "channelsFirst", c = [i, p, u, r[1], r[1]]; else throw new Error(`Unknown dataFormat ${a}`); - return rv(r, c, t10, o, n, false, l, s); + return bk(r, c, t10, o, n, false, l, s); } -function au(r, e, t10, o, n, s, a = false, i = "channelsLast") { +function Mu(r, e, t10, o, n, s, a = false, i = "channelsLast") { let [p, u, c, l] = [-1, -1, -1, -1]; if (i === "channelsLast") [p, u, c, l] = r; @@ -5465,10 +5651,10 @@ function au(r, e, t10, o, n, s, a = false, i = "channelsLast") { [p, l, u, c] = r; else throw new Error(`Unknown dataFormat ${i}`); - let [m, d, , f] = e, [h, g] = Jc(t10), [x, b] = Jc(o), C = Lp(m, x), w = Lp(d, b), { padInfo: k, outHeight: _, outWidth: E } = xW(n, u, c, h, g, C, w, s, i), A = a ? f * l : f, R; - return i === "channelsFirst" ? R = [p, A, _, E] : i === "channelsLast" && (R = [p, _, E, A]), { batchSize: p, dataFormat: i, inHeight: u, inWidth: c, inChannels: l, outHeight: _, outWidth: E, outChannels: A, padInfo: k, strideHeight: h, strideWidth: g, filterHeight: m, filterWidth: d, effectiveFilterHeight: C, effectiveFilterWidth: w, dilationHeight: x, dilationWidth: b, inShape: r, outShape: R, filterShape: e }; + let [m, d, , f] = e, [h, g] = wl(t10), [x, b] = wl(o), w = sc(m, x), S = sc(d, b), { padInfo: k, outHeight: _, outWidth: E } = C4(n, u, c, h, g, w, S, s, i), R = a ? f * l : f, D; + return i === "channelsFirst" ? D = [p, R, _, E] : i === "channelsLast" && (D = [p, _, E, R]), { batchSize: p, dataFormat: i, inHeight: u, inWidth: c, inChannels: l, outHeight: _, outWidth: E, outChannels: R, padInfo: k, strideHeight: h, strideWidth: g, filterHeight: m, filterWidth: d, effectiveFilterHeight: w, effectiveFilterWidth: S, dilationHeight: x, dilationWidth: b, inShape: r, outShape: D, filterShape: e }; } -function rv(r, e, t10, o, n, s = false, a = "channelsLast", i) { +function bk(r, e, t10, o, n, s = false, a = "channelsLast", i) { let [p, u, c, l, m] = [-1, -1, -1, -1, -1]; if (a === "channelsLast") [p, u, c, l, m] = r; @@ -5476,39 +5662,39 @@ function rv(r, e, t10, o, n, s = false, a = "channelsLast", i) { [p, m, u, c, l] = r; else throw new Error(`Unknown dataFormat ${a}`); - let [d, f, h, , g] = e, [x, b, C] = sC(t10), [w, k, _] = sC(o), E = Lp(d, w), A = Lp(f, k), R = Lp(h, _), { padInfo: D, outDepth: P, outHeight: M, outWidth: L } = yW(n, u, c, l, x, b, C, E, A, R, i), V = s ? g * m : g, z; - return a === "channelsFirst" ? z = [p, V, P, M, L] : a === "channelsLast" && (z = [p, P, M, L, V]), { batchSize: p, dataFormat: a, inDepth: u, inHeight: c, inWidth: l, inChannels: m, outDepth: P, outHeight: M, outWidth: L, outChannels: V, padInfo: D, strideDepth: x, strideHeight: b, strideWidth: C, filterDepth: d, filterHeight: f, filterWidth: h, effectiveFilterDepth: E, effectiveFilterHeight: A, effectiveFilterWidth: R, dilationDepth: w, dilationHeight: k, dilationWidth: _, inShape: r, outShape: z, filterShape: e }; + let [d, f, h, , g] = e, [x, b, w] = Cw(t10), [S, k, _] = Cw(o), E = sc(d, S), R = sc(f, k), D = sc(h, _), { padInfo: F, outDepth: O, outHeight: M, outWidth: L } = w4(n, u, c, l, x, b, w, E, R, D, i), B = s ? g * m : g, z; + return a === "channelsFirst" ? z = [p, B, O, M, L] : a === "channelsLast" && (z = [p, O, M, L, B]), { batchSize: p, dataFormat: a, inDepth: u, inHeight: c, inWidth: l, inChannels: m, outDepth: O, outHeight: M, outWidth: L, outChannels: B, padInfo: F, strideDepth: x, strideHeight: b, strideWidth: w, filterDepth: d, filterHeight: f, filterWidth: h, effectiveFilterDepth: E, effectiveFilterHeight: R, effectiveFilterWidth: D, dilationDepth: S, dilationHeight: k, dilationWidth: _, inShape: r, outShape: z, filterShape: e }; } -function hW(r, e, t10, o, n) { - o == null && (o = iC(r, e, t10)); - let s = r[0], a = r[1], i = el((s - e + 2 * o) / t10 + 1, n), p = el((a - e + 2 * o) / t10 + 1, n); +function y4(r, e, t10, o, n) { + o == null && (o = Sw(r, e, t10)); + let s = r[0], a = r[1], i = Sl((s - e + 2 * o) / t10 + 1, n), p = Sl((a - e + 2 * o) / t10 + 1, n); return [i, p]; } -function gW(r, e, t10, o, n, s) { - n == null && (n = iC(r, e[0], o[0])); +function b4(r, e, t10, o, n, s) { + n == null && (n = Sw(r, e[0], o[0])); let a = [0, 0, 0, t10]; for (let i = 0; i < 3; i++) - r[i] + 2 * n >= e[i] && (a[i] = el((r[i] - e[i] + 2 * n) / o[i] + 1, s)); + r[i] + 2 * n >= e[i] && (a[i] = Sl((r[i] - e[i] + 2 * n) / o[i] + 1, s)); return a; } -function iC(r, e, t10, o = 1) { - let n = Lp(e, o); +function Sw(r, e, t10, o = 1) { + let n = sc(e, o); return Math.floor((r[0] * (t10 - 1) - t10 + n) / 2); } -function Jc(r) { +function wl(r) { return typeof r == "number" ? [r, r, r] : r.length === 2 ? [r[0], r[1], 1] : r; } -function sC(r) { +function Cw(r) { return typeof r == "number" ? [r, r, r] : r; } -function Lp(r, e) { +function sc(r, e) { return e <= 1 ? r : r + (r - 1) * (e - 1); } -function xW(r, e, t10, o, n, s, a, i, p) { +function C4(r, e, t10, o, n, s, a, i, p) { let u, c, l; if (typeof r == "number") { u = { top: r, bottom: r, left: r, right: r, type: r === 0 ? "VALID" : "NUMBER" }; - let d = hW([e, t10], s, o, r, i); + let d = y4([e, t10], s, o, r, i); c = d[0], l = d[1]; } else if (r === "same") { c = Math.ceil(e / o), l = Math.ceil(t10 / n); @@ -5518,26 +5704,26 @@ function xW(r, e, t10, o, n, s, a, i, p) { u = { top: 0, bottom: 0, left: 0, right: 0, type: "VALID" }, c = Math.ceil((e - s + 1) / o), l = Math.ceil((t10 - a + 1) / n); else if (typeof r == "object") { let m = p === "channelsLast" ? r[1][0] : r[2][0], d = p === "channelsLast" ? r[1][1] : r[2][1], f = p === "channelsLast" ? r[2][0] : r[3][0], h = p === "channelsLast" ? r[2][1] : r[3][1]; - u = { top: m, bottom: d, left: f, right: h, type: m === 0 && d === 0 && f === 0 && h === 0 ? "VALID" : "EXPLICIT" }, c = el((e - s + m + d) / o + 1, i), l = el((t10 - a + f + h) / n + 1, i); + u = { top: m, bottom: d, left: f, right: h, type: m === 0 && d === 0 && f === 0 && h === 0 ? "VALID" : "EXPLICIT" }, c = Sl((e - s + m + d) / o + 1, i), l = Sl((t10 - a + f + h) / n + 1, i); } else throw Error(`Unknown padding parameter: ${r}`); return { padInfo: u, outHeight: c, outWidth: l }; } -function yW(r, e, t10, o, n, s, a, i, p, u, c) { +function w4(r, e, t10, o, n, s, a, i, p, u, c) { let l, m, d, f; if (r === "valid" && (r = 0), typeof r == "number") { l = { top: r, bottom: r, left: r, right: r, front: r, back: r, type: r === 0 ? "VALID" : "NUMBER" }; - let g = gW([e, t10, o, 1], [i, p, u], 1, [n, s, a], r, c); + let g = b4([e, t10, o, 1], [i, p, u], 1, [n, s, a], r, c); m = g[0], d = g[1], f = g[2]; } else if (r === "same") { m = Math.ceil(e / n), d = Math.ceil(t10 / s), f = Math.ceil(o / a); - let h = (m - 1) * n + i - e, g = (d - 1) * s + p - t10, x = (f - 1) * a + u - o, b = Math.floor(h / 2), C = h - b, w = Math.floor(g / 2), k = g - w, _ = Math.floor(x / 2), E = x - _; - l = { top: w, bottom: k, left: _, right: E, front: b, back: C, type: "SAME" }; + let h = (m - 1) * n + i - e, g = (d - 1) * s + p - t10, x = (f - 1) * a + u - o, b = Math.floor(h / 2), w = h - b, S = Math.floor(g / 2), k = g - S, _ = Math.floor(x / 2), E = x - _; + l = { top: S, bottom: k, left: _, right: E, front: b, back: w, type: "SAME" }; } else throw Error(`Unknown padding parameter: ${r}`); return { padInfo: l, outDepth: m, outHeight: d, outWidth: f }; } -function el(r, e) { +function Sl(r, e) { if (!e) return Math.trunc(r); switch (e) { @@ -5551,165 +5737,175 @@ function el(r, e) { throw new Error(`Unknown roundingMode ${e}`); } } -function su(r) { - let [e, t10, o] = Jc(r); +function Ou(r) { + let [e, t10, o] = wl(r); return e === 1 && t10 === 1 && o === 1; } -function mr(r, e) { - return su(r) || su(e); +function gr(r, e) { + return Ou(r) || Ou(e); } -function Vs(r) { - return Jc(r).every((e) => e > 0); +function ba(r) { + return wl(r).every((e) => e > 0); } -function ov(r) { +function Ck(r) { if (r === "NHWC") return "channelsLast"; if (r === "NCHW") return "channelsFirst"; throw new Error(`Unknown dataFormat ${r}`); } -function Mt(r, e, t10) { +function Lt(r, e, t10) { if (t10 != null) { if (typeof e == "string") throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${t10} but got pad ${e}.`); if (typeof e == "number") - $(sa(e), () => `Error in ${r}: pad must be an integer when using dimRoundingMode ${t10} but got pad ${e}.`); + $(Ba(e), () => `Error in ${r}: pad must be an integer when using dimRoundingMode ${t10} but got pad ${e}.`); else if (typeof e == "object") e.forEach((o) => { o.forEach((n) => { - $(sa(n), () => `Error in ${r}: pad must be an integer when using dimRoundingMode ${t10} but got pad ${n}.`); + $(Ba(n), () => `Error in ${r}: pad must be an integer when using dimRoundingMode ${t10} but got pad ${n}.`); }); }); else throw Error(`Error in ${r}: Unknown padding parameter: ${e}`); } } -function bW(r, e) { +function S4(r, e) { let o = { x: v(r, "x", "reshape", "string_or_numeric") }, n = { shape: e }; - return T.runKernel(_s, o, n); + return T.runKernel(ia, o, n); } -var W = N({ reshape_: bW }); -function CW(r, e, t10, o, n) { +var W = N({ reshape_: S4 }); +function I4(r, e, t10, o, n) { let s = v(r, "x", "avgPool", "float32"), a = 1; - $(mr(t10, a), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${t10} and dilations '${a}'`); + $(gr(t10, a), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${t10} and dilations '${a}'`); let i = s, p = false; - s.rank === 3 && (p = true, i = W(s, [1, s.shape[0], s.shape[1], s.shape[2]])), $(i.rank === 4, () => `Error in avgPool: x must be rank 4 but got rank ${i.rank}.`), Mt("avgPool", o, n); - let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n }, l = T.runKernel(Vo, u, c); - return l = je(l, s.dtype), p ? W(l, [l.shape[1], l.shape[2], l.shape[3]]) : l; + s.rank === 3 && (p = true, i = W(s, [1, s.shape[0], s.shape[1], s.shape[2]])), $(i.rank === 4, () => `Error in avgPool: x must be rank 4 but got rank ${i.rank}.`), Lt("avgPool", o, n); + let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n }, l = T.runKernel(Yo, u, c); + return l = Ye(l, s.dtype), p ? W(l, [l.shape[1], l.shape[2], l.shape[3]]) : l; } -var qm = N({ avgPool_: CW }); -function SW(r, e, t10, o, n, s = "NDHWC") { +var cd = N({ avgPool_: I4 }); +function v4(r, e, t10, o, n, s = "NDHWC") { let a = v(r, "x", "avgPool3d", "float32"), i = a, p = false; - a.rank === 4 && (p = true, i = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(i.rank === 5, () => `Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`), $(s === "NDHWC", () => `Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`), $(typeof t10 == "number" && t10 > 0 || Array.isArray(t10) && t10[0] > 0 && t10[1] > 0 && t10[2] > 0, () => `Error in avgPool3d: Stride must be > 0, but got '${t10}'`), Mt("avgPool3d", o, n); - let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n, dataFormat: s }, l = T.runKernel(dp, u, c); - return l = je(l, i.dtype), p ? W(l, [l.shape[1], l.shape[2], l.shape[3], l.shape[4]]) : l; + a.rank === 4 && (p = true, i = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(i.rank === 5, () => `Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`), $(s === "NDHWC", () => `Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`), $(typeof t10 == "number" && t10 > 0 || Array.isArray(t10) && t10[0] > 0 && t10[1] > 0 && t10[2] > 0, () => `Error in avgPool3d: Stride must be > 0, but got '${t10}'`), Lt("avgPool3d", o, n); + let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n, dataFormat: s }, l = T.runKernel(qs, u, c); + return l = Ye(l, i.dtype), p ? W(l, [l.shape[1], l.shape[2], l.shape[3], l.shape[4]]) : l; } -var nv = N({ avgPool3d_: SW }); -function wW(r, e = 0) { +var wk = N({ avgPool3d_: v4 }); +function k4(r, e = 0) { $(r.length >= 1, () => "Pass at least one tensor to concat"); - let t10 = _a(r, "tensors", "concat", "string_or_numeric"); + let t10 = Ja(r, "tensors", "concat", "string_or_numeric"); if (t10[0].dtype === "complex64" && t10.forEach((s) => { if (s.dtype !== "complex64") throw new Error(`Cannot concatenate complex64 tensors with a tensor with dtype ${s.dtype}. `); }), t10.length === 1) - return Lr(t10[0]); + return Vr(t10[0]); let o = t10, n = { axis: e }; - return T.runKernel(Cs, o, n); + return T.runKernel(Ys, o, n); } -var xt = N({ concat_: wW }); -function IW(r, e, t10 = false, o = false) { +var yt = N({ concat_: k4 }); +function N4(r, e, t10 = false, o = false) { let n = v(r, "a", "matMul"), s = v(e, "b", "matMul"); - [n, s] = De(n, s); + [n, s] = Oe(n, s); let a = { a: n, b: s }, i = { transposeA: t10, transposeB: o }; - return T.runKernel(zo, a, i); + return T.runKernel(Qo, a, i); } -var Xe = N({ matMul_: IW }); -function vW(r) { +var Qe = N({ matMul_: N4 }); +function T4(r) { let t10 = { x: v(r, "x", "sigmoid", "float32") }; - return T.runKernel(Gn, t10); + return T.runKernel(hs, t10); } -var Ws = N({ sigmoid_: vW }); -function kW(r, e, t10) { +var wa = N({ sigmoid_: T4 }); +function _4(r, e, t10) { let o = v(r, "x", "slice", "string_or_numeric"); if (o.rank === 0) throw new Error("Slicing scalar is not possible"); let n = { x: o }, s = { begin: e, size: t10 }; - return T.runKernel(Es, n, s); + return T.runKernel(pa, n, s); } -var Ke = N({ slice_: kW }); -function NW(r) { +var qe = N({ slice_: _4 }); +function $4(r) { let t10 = { x: v(r, "x", "tanh", "float32") }; - return T.runKernel(Zn, t10); + return T.runKernel(ks, t10); } -var tl = N({ tanh_: NW }); -function TW(r, e, t10, o, n, s) { - let a = v(r, "forgetBias", "basicLSTMCell"), i = v(e, "lstmKernel", "basicLSTMCell"), p = v(t10, "lstmBias", "basicLSTMCell"), u = v(o, "data", "basicLSTMCell"), c = v(n, "c", "basicLSTMCell"), l = v(s, "h", "basicLSTMCell"), m = xt([u, l], 1), d = Xe(m, i), f = be(d, p), h = f.shape[0], g = f.shape[1] / 4, x = [h, g], b = Ke(f, [0, 0], x), C = Ke(f, [0, g], x), w = Ke(f, [0, g * 2], x), k = Ke(f, [0, g * 3], x), _ = be(ne(Ws(b), tl(C)), ne(c, Ws(be(a, w)))), E = ne(tl(_), Ws(k)); +var Il = N({ tanh_: $4 }); +function E4(r, e, t10, o, n, s) { + let a = v(r, "forgetBias", "basicLSTMCell"), i = v(e, "lstmKernel", "basicLSTMCell"), p = v(t10, "lstmBias", "basicLSTMCell"), u = v(o, "data", "basicLSTMCell"), c = v(n, "c", "basicLSTMCell"), l = v(s, "h", "basicLSTMCell"), m = yt([u, l], 1), d = Qe(m, i), f = be(d, p), h = f.shape[0], g = f.shape[1] / 4, x = [h, g], b = qe(f, [0, 0], x), w = qe(f, [0, g], x), S = qe(f, [0, g * 2], x), k = qe(f, [0, g * 3], x), _ = be(se(wa(b), Il(w)), se(c, wa(be(a, S)))), E = se(Il(_), wa(k)); return [_, E]; } -var sv = N({ basicLSTMCell_: TW }); -function _W(r, e, t10) { +var Sk = N({ basicLSTMCell_: E4 }); +function R4(r, e, t10) { let o = v(r, "x", "batchToSpaceND"), n = e.reduce((i, p) => i * p); $(o.rank >= 1 + e.length, () => `input rank is ${o.rank} but should be > than blockShape.length ${e.length}`), $(t10.length === e.length, () => `crops.length is ${t10.length} but should be equal to blockShape.length ${e.length}`), $(o.shape[0] % n === 0, () => `input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(" * ")} === ${n}`); let s = { x: o }, a = { blockShape: e, crops: t10 }; - return T.runKernel(bs, s, a); + return T.runKernel(js, s, a); } -var jm = N({ batchToSpaceND_: _W }); -function av(r) { +var ld = N({ batchToSpaceND_: R4 }); +function Ik(r) { let e; return r.rank === 0 || r.rank === 1 ? e = W(r, [1, 1, 1, r.size]) : r.rank === 2 ? e = W(r, [1, 1, r.shape[0], r.shape[1]]) : r.rank === 3 ? e = W(r, [1, r.shape[0], r.shape[1], r.shape[2]]) : e = r, e; } -function $W(r, e, t10, o, n, s) { +function D4(r, e, t10, o, n, s) { s == null && (s = 1e-3); let a = v(r, "x", "batchNorm"), i = v(e, "mean", "batchNorm"), p = v(t10, "variance", "batchNorm"), u; n != null && (u = v(n, "scale", "batchNorm")); let c; o != null && (c = v(o, "offset", "batchNorm")), $(i.rank === p.rank, () => "Batch normalization gradient requires mean and variance to have equal ranks."), $(c == null || i.rank === c.rank, () => "Batch normalization gradient requires mean and offset to have equal ranks."), $(u == null || i.rank === u.rank, () => "Batch normalization gradient requires mean and scale to have equal ranks."); - let m = { x: av(a), scale: u, offset: c, mean: i, variance: p }, d = { varianceEpsilon: s }, f = T.runKernel(sn, m, d); + let m = { x: Ik(a), scale: u, offset: c, mean: i, variance: p }, d = { varianceEpsilon: s }, f = T.runKernel(wn, m, d); return W(f, a.shape); } -var _i = N({ batchNorm_: $W }); -function EW(r, e, t10, o, n, s) { +var tu = N({ batchNorm_: D4 }); +function A4(r, e, t10, o, n, s) { let a = v(r, "x", "batchNorm"), i = v(e, "mean", "batchNorm"), p = v(t10, "variance", "batchNorm"), u; n != null && (u = v(n, "scale", "batchNorm")); let c; - return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 2, () => `Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`), $(i.rank === 2 || i.rank === 1, () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`), $(p.rank === 2 || p.rank === 1, () => `Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 2 || u.rank === 1, () => `Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 2 || c.rank === 1, () => `Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`), _i(a, i, p, c, u, s); + return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 2, () => `Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`), $(i.rank === 2 || i.rank === 1, () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`), $(p.rank === 2 || p.rank === 1, () => `Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 2 || u.rank === 1, () => `Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 2 || c.rank === 1, () => `Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`), tu(a, i, p, c, u, s); } -var iv = N({ batchNorm2d_: EW }); -function AW(r, e, t10, o, n, s) { +var vk = N({ batchNorm2d_: A4 }); +function F4(r, e, t10, o, n, s) { let a = v(r, "x", "batchNorm"), i = v(e, "mean", "batchNorm"), p = v(t10, "variance", "batchNorm"), u; n != null && (u = v(n, "scale", "batchNorm")); let c; - return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 3, () => `Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`), $(i.rank === 3 || i.rank === 1, () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`), $(p.rank === 3 || p.rank === 1, () => `Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 3 || u.rank === 1, () => `Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 3 || c.rank === 1, () => `Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`), _i(a, i, p, c, u, s); + return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 3, () => `Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`), $(i.rank === 3 || i.rank === 1, () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`), $(p.rank === 3 || p.rank === 1, () => `Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 3 || u.rank === 1, () => `Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 3 || c.rank === 1, () => `Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`), tu(a, i, p, c, u, s); } -var uv = N({ batchNorm3d_: AW }); -function RW(r, e, t10, o, n, s) { +var kk = N({ batchNorm3d_: F4 }); +function P4(r, e, t10, o, n, s) { let a = v(r, "x", "batchNorm"), i = v(e, "mean", "batchNorm"), p = v(t10, "variance", "batchNorm"), u; n != null && (u = v(n, "scale", "batchNorm")); let c; - return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 4, () => `Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`), $(i.rank === 4 || i.rank === 1, () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`), $(p.rank === 4 || p.rank === 1, () => `Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 4 || u.rank === 1, () => `Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 4 || c.rank === 1, () => `Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`), _i(a, i, p, c, u, s); + return o != null && (c = v(o, "offset", "batchNorm")), $(a.rank === 4, () => `Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`), $(i.rank === 4 || i.rank === 1, () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`), $(p.rank === 4 || p.rank === 1, () => `Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`), u != null && $(u.rank === 4 || u.rank === 1, () => `Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`), c != null && $(c.rank === 4 || c.rank === 1, () => `Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`), tu(a, i, p, c, u, s); } -var pv = N({ batchNorm4d_: RW }); -function DW(r, e, t10) { +var Nk = N({ batchNorm4d_: P4 }); +function O4(r, e, t10) { let o = v(r, "x", "bincount"), n = v(e, "weights", "bincount"); $(o.dtype === "int32", () => `Error in bincount: input dtype must be int32, but got ${o.dtype}`), $(t10 >= 0, () => `size must be non-negative, but got ${t10}.`), $(n.size === o.size || n.size === 0, () => `Error in bincount: weights must have the same size as input or0-length, but got input shape: ${o.shape}, weights shape: ${n.shape}.`); let s = { x: o, weights: n }, a = { size: t10 }; - return T.runKernel(ti, s, a); + return T.runKernel(Zo, s, a); } -var Xm = N({ bincount_: DW }); -function FW(r, e) { +var md = N({ bincount_: O4 }); +function M4(r, e) { + let t10 = v(r, "x", "bitwiseAnd"), o = v(e, "y", "bitwiseAnd"); + if (!br(t10.shape, o.shape)) + throw new Error(`BitwiseAnd: Tensors must have the same shape. x: ${t10.shape}, y: ${o.shape}`); + if (t10.dtype !== "int32" || o.dtype !== "int32") + throw new Error(`BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ${t10.dtype} and type of y: ${o.dtype}`); + let n = { a: t10, b: o }; + return T.runKernel(ml, n); +} +var Tk = N({ bitwiseAnd_: M4 }); +function L4(r, e) { let t10 = v(r, "s0", "broadcastArgs", "int32"), o = v(e, "s1", "broadcastArgs", "int32"); if (t10.rank !== 1) throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${t10.rank}`); if (o.rank !== 1) throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${o.rank}`); let n = { s0: t10, s1: o }; - return T.runKernel(fp, n); + return T.runKernel(Xs, n); } -var cv = N({ broadcastArgs_: FW }); -function OW(r, e) { +var _k = N({ broadcastArgs_: L4 }); +function B4(r, e) { let t10 = v(r, "broadcastTo", "x"), o = t10.shape; - if (bt(e), e.length < t10.rank) + if (Ct(e), e.length < t10.rank) throw new Error(`broadcastTo(): shape.length=${e.length} < input.rank=${t10.rank}.`); if (e.length > t10.rank) { let u = t10.shape.slice(); @@ -5724,126 +5920,126 @@ function OW(r, e) { else if (t10.shape[u] !== 1) throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${e}].`); if (s.map((u, c) => u > 1 ? c : -1).filter((u) => u >= 0).length === 0) - return Lr(t10); + return Vr(t10); let i = { x: t10 }, p = { reps: s }; - return T.runKernel(to, i, p); + return T.runKernel(so, i, p); } -var $i = N({ broadcastTo_: OW }); -function PW(r) { +var ru = N({ broadcastTo_: B4 }); +function z4(r) { let t10 = { x: v(r, "x", "ceil", "float32") }; - return T.runKernel(Wo, t10); + return T.runKernel(Jo, t10); } -var lv = N({ ceil_: PW }); -function Us(r, e, t10) { - bt(r); +var $k = N({ ceil_: z4 }); +function Sa(r, e, t10) { + Ct(r), t10 = t10 || ki(e); let o = { shape: r, value: e, dtype: t10 }; - return T.runKernel(ws, {}, o); + return T.runKernel(ea, {}, o); } -function MW(r, e, t10) { +function V4(r, e, t10) { let o = v(r, "x", "clipByValue"); if ($(e <= t10, () => `Error in clip: min (${e}) must be less than or equal to max (${t10}).`), e === t10) - return Us(o.shape, e, o.dtype); + return Sa(o.shape, e, o.dtype); let n = { x: o }, s = { clipValueMin: e, clipValueMax: t10 }; - return T.runKernel(lo, n, s); + return T.runKernel(go, n, s); } -var mv = N({ clipByValue_: MW }); -function LW(r) { - return xt(r, 0); +var Ek = N({ clipByValue_: V4 }); +function W4(r) { + return yt(r, 0); } -var dv = N({ concat1d_: LW }); -function BW(r, e) { - return xt(r, e); +var Rk = N({ concat1d_: W4 }); +function U4(r, e) { + return yt(r, e); } -var fv = N({ concat2d_: BW }); -function VW(r, e) { - return xt(r, e); +var Dk = N({ concat2d_: U4 }); +function G4(r, e) { + return yt(r, e); } -var hv = N({ concat3d_: VW }); -function zW(r, e) { - return xt(r, e); +var Ak = N({ concat3d_: G4 }); +function H4(r, e) { + return yt(r, e); } -var gv = N({ concat4d_: zW }); -function WW(r, e, t10, o, n = "NHWC", s = [1, 1], a) { +var Fk = N({ concat4d_: H4 }); +function K4(r, e, t10, o, n = "NHWC", s = [1, 1], a) { let i = v(r, "x", "conv2d", "float32"), p = v(e, "filter", "conv2d", "float32"), u = i, c = false; - i.rank === 3 && (c = true, u = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), $(u.rank === 4, () => `Error in conv2d: input must be rank 4, but got rank ${u.rank}.`), $(p.rank === 4, () => `Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`), Mt("conv2d", o, a); + i.rank === 3 && (c = true, u = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), $(u.rank === 4, () => `Error in conv2d: input must be rank 4, but got rank ${u.rank}.`), $(p.rank === 4, () => `Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`), Lt("conv2d", o, a); let l = n === "NHWC" ? u.shape[3] : u.shape[1]; - $(l === p.shape[2], () => `Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`), $(mr(t10, s), () => `Error in conv2D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), $(Vs(s), () => "Error in conv2D: Dilated rates should be larger than 0."), $(Vs(t10), () => "Error in conv2D: Strides should be larger than 0."); - let m = { x: u, filter: p }, d = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a }, f = T.runKernel(Uo, m, d); + $(l === p.shape[2], () => `Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`), $(gr(t10, s), () => `Error in conv2D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), $(ba(s), () => "Error in conv2D: Dilated rates should be larger than 0."), $(ba(t10), () => "Error in conv2D: Strides should be larger than 0."); + let m = { x: u, filter: p }, d = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a }, f = T.runKernel(en, m, d); return c ? W(f, [f.shape[1], f.shape[2], f.shape[3]]) : f; } -var Ei = N({ conv2d_: WW }); -function UW(r, e, t10, o, n = "NWC", s = 1, a) { +var ou = N({ conv2d_: K4 }); +function q4(r, e, t10, o, n = "NWC", s = 1, a) { let i = v(r, "x", "conv1d"), p = v(e, "filter", "conv1d"), u = i, c = false; - i.rank === 2 && (c = true, u = W(i, [1, i.shape[0], i.shape[1]])), $(u.rank === 3, () => `Error in conv1d: input must be rank 3, but got rank ${u.rank}.`), $(p.rank === 3, () => `Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`), Mt("conv1d", o, a), $(u.shape[2] === p.shape[1], () => `Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`), $(mr(t10, s), () => `Error in conv1D: Either stride or dilation must be 1. Got stride ${t10} and dilation '${s}'`), $(Vs(s), () => "Error in conv1D: Dilated rates should be larger than 0."), $(Vs(t10), () => "Error in conv1D: Stride should be larger than 0."), $(n === "NWC", () => `Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`); - let l = W(p, [1, p.shape[0], p.shape[1], p.shape[2]]), m = W(u, [u.shape[0], 1, u.shape[1], u.shape[2]]), g = Ei(m, l, [1, t10], o, "NHWC", [1, s], a); + i.rank === 2 && (c = true, u = W(i, [1, i.shape[0], i.shape[1]])), $(u.rank === 3, () => `Error in conv1d: input must be rank 3, but got rank ${u.rank}.`), $(p.rank === 3, () => `Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`), Lt("conv1d", o, a), $(u.shape[2] === p.shape[1], () => `Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`), $(gr(t10, s), () => `Error in conv1D: Either stride or dilation must be 1. Got stride ${t10} and dilation '${s}'`), $(ba(s), () => "Error in conv1D: Dilated rates should be larger than 0."), $(ba(t10), () => "Error in conv1D: Stride should be larger than 0."), $(n === "NWC", () => `Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`); + let l = W(p, [1, p.shape[0], p.shape[1], p.shape[2]]), m = W(u, [u.shape[0], 1, u.shape[1], u.shape[2]]), g = ou(m, l, [1, t10], o, "NHWC", [1, s], a); return c ? W(g, [g.shape[2], g.shape[3]]) : W(g, [g.shape[0], g.shape[2], g.shape[3]]); } -var xv = N({ conv1d_: UW }); -function GW(r, e, t10, o, n, s = "NHWC", a) { +var Pk = N({ conv1d_: q4 }); +function j4(r, e, t10, o, n, s = "NHWC", a) { $(r.length === e.rank, () => `Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`); let i = r, p = e, u = false; e.rank === 3 && (u = true, p = W(e, [1, e.shape[0], e.shape[1], e.shape[2]]), i = [1, r[0], r[1], r[2]]), $(i.length === 4, () => `Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`), $(p.rank === 4, () => `Error in conv2dDerInput: dy must be rank 4, but got rank ${p.rank}`), $(t10.rank === 4, () => `Error in conv2dDerInput: filter must be rank 4, but got rank ${t10.rank}`); let c = s === "NHWC" ? i[3] : i[1], l = s === "NHWC" ? p.shape[3] : p.shape[1]; - $(c === t10.shape[2], () => `Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t10.shape[2]}.`), $(l === t10.shape[3], () => `Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t10.shape[3]}.`), Mt("conv2dDerInput", n, a); - let m = { dy: p, filter: t10 }, d = { strides: o, pad: n, dataFormat: s, dimRoundingMode: a, inputShape: i }, f = T.runKernel(Go, m, d); + $(c === t10.shape[2], () => `Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t10.shape[2]}.`), $(l === t10.shape[3], () => `Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t10.shape[3]}.`), Lt("conv2dDerInput", n, a); + let m = { dy: p, filter: t10 }, d = { strides: o, pad: n, dataFormat: s, dimRoundingMode: a, inputShape: i }, f = T.runKernel(tn, m, d); return u ? W(f, [f.shape[1], f.shape[2], f.shape[3]]) : f; } -var Ym = N({ conv2DBackpropInput_: GW }); -function HW(r, e, t10, o, n, s) { +var dd = N({ conv2DBackpropInput_: j4 }); +function X4(r, e, t10, o, n, s) { let a = v(r, "x", "conv2dTranspose"), i = v(e, "filter", "conv2dTranspose"); - return Ym(t10, a, i, o, n, "NHWC", s); + return dd(t10, a, i, o, n, "NHWC", s); } -var yv = N({ conv2dTranspose_: HW }); -function KW(r, e, t10, o, n = "NDHWC", s = [1, 1, 1]) { +var Ok = N({ conv2dTranspose_: X4 }); +function Y4(r, e, t10, o, n = "NDHWC", s = [1, 1, 1]) { let a = v(r, "x", "conv3d"), i = v(e, "filter", "conv3d"), p = a, u = false; - a.rank === 4 && (u = true, p = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(p.rank === 5, () => `Error in conv3d: input must be rank 5, but got rank ${p.rank}.`), $(i.rank === 5, () => `Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`), $(p.shape[4] === i.shape[3], () => `Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`), $(mr(t10, s), () => `Error in conv3D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), $(n === "NDHWC", () => `Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`), $(Vs(s), () => "Error in conv3D: Dilated rates should be larger than 0."), $(Vs(t10), () => "Error in conv3D: Strides should be larger than 0."); - let c = { x: p, filter: i }, l = { strides: t10, pad: o, dataFormat: n, dilations: s }, m = T.runKernel(gp, c, l); + a.rank === 4 && (u = true, p = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(p.rank === 5, () => `Error in conv3d: input must be rank 5, but got rank ${p.rank}.`), $(i.rank === 5, () => `Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`), $(p.shape[4] === i.shape[3], () => `Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`), $(gr(t10, s), () => `Error in conv3D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), $(n === "NDHWC", () => `Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`), $(ba(s), () => "Error in conv3D: Dilated rates should be larger than 0."), $(ba(t10), () => "Error in conv3D: Strides should be larger than 0."); + let c = { x: p, filter: i }, l = { strides: t10, pad: o, dataFormat: n, dilations: s }, m = T.runKernel(rn, c, l); return u ? W(m, [m.shape[1], m.shape[2], m.shape[3], m.shape[4]]) : m; } -var bv = N({ conv3d_: KW }); -function qW(r, e, t10, o, n) { +var Mk = N({ conv3d_: Y4 }); +function Q4(r, e, t10, o, n) { $(r.length === e.rank, () => `Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`); let s = r, a = e, i = false; e.rank === 4 && (i = true, a = W(e, [1, e.shape[0], e.shape[1], e.shape[2], e.shape[3]]), s = [1, r[0], r[1], r[2], r[3]]); let p = s[4], u = a.shape[4]; $(s.length === 5, () => `Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`), $(a.rank === 5, () => `Error in conv3dDerInput: dy must be rank 5, but got rank ${a.rank}`), $(t10.rank === 5, () => `Error in conv3dDerInput: filter must be rank 5, but got rank ${t10.rank}`), $(p === t10.shape[3], () => `Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${t10.shape[3]}.`), $(u === t10.shape[4], () => `Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t10.shape[4]}.`); - let c = { dy: a, filter: t10 }, l = { pad: n, strides: o, inputShape: s }, m = T.runKernel(xp, c, l); + let c = { dy: a, filter: t10 }, l = { pad: n, strides: o, inputShape: s }, m = T.runKernel(on, c, l); return i ? W(m, [m.shape[1], m.shape[2], m.shape[3], m.shape[4]]) : m; } -var Cv = N({ conv3DBackpropInput_: qW }); -function jW(r, e, t10, o, n) { +var Lk = N({ conv3DBackpropInput_: Q4 }); +function Z4(r, e, t10, o, n) { let s = v(r, "x", "conv3dTranspose"), a = v(e, "filter", "conv3dTranspose"); - return Cv(t10, s, a, o, n); + return Lk(t10, s, a, o, n); } -var Sv = N({ conv3dTranspose_: jW }); -function XW(r) { +var Bk = N({ conv3dTranspose_: Z4 }); +function J4(r) { let t10 = { x: v(r, "x", "cos", "float32") }; - return T.runKernel(Ho, t10); + return T.runKernel(nn, t10); } -var wv = N({ cos_: XW }); -function YW(r) { +var zk = N({ cos_: J4 }); +function eH(r) { let t10 = { x: v(r, "x", "cosh", "float32") }; - return T.runKernel(Ko, t10); + return T.runKernel(sn, t10); } -var Iv = N({ cosh_: YW }); -function QW(r, e = 0, t10 = false, o = false) { +var Vk = N({ cosh_: eH }); +function tH(r, e = 0, t10 = false, o = false) { let s = { x: v(r, "x", "cumprod") }, a = { axis: e, exclusive: t10, reverse: o }; - return T.runKernel(qo, s, a); + return T.runKernel(an, s, a); } -var vv = N({ cumprod_: QW }); -function ZW(r, e = 0, t10 = false, o = false) { +var Wk = N({ cumprod_: tH }); +function rH(r, e = 0, t10 = false, o = false) { let s = { x: v(r, "x", "cumsum") }, a = { axis: e, exclusive: t10, reverse: o }; - return T.runKernel(jo, s, a); + return T.runKernel(un, s, a); } -var kv = N({ cumsum_: ZW }); -function JW(r, e, t10, o = false) { +var Uk = N({ cumsum_: rH }); +function oH(r, e, t10, o = false) { let n = v(r, "x", "denseBincount"), s = v(e, "weights", "denseBincount"); $(n.dtype === "int32", () => `Error in denseBincount: input dtype must be int32, but got ${n.dtype}`), $(n.rank <= 2, () => `Error in denseBincount: input must be at most rank 2, but got rank ${n.rank}.`), $(t10 >= 0, () => `size must be non-negative, but got ${t10}.`), $(s.size === n.size || s.size === 0, () => `Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${n.shape}, weights shape: ${s.shape}.`); let a = { x: n, weights: s }, i = { size: t10, binaryOutput: o }; - return T.runKernel(ni, a, i); + return T.runKernel(Qs, a, i); } -var Nv = N({ denseBincount_: JW }); -function eU(r, e, t10 = "NHWC") { +var Gk = N({ denseBincount_: oH }); +function nH(r, e, t10 = "NHWC") { let o = v(r, "x", "depthToSpace", "float32"), n = t10 === "NHWC" ? o.shape[1] : o.shape[2], s = t10 === "NHWC" ? o.shape[2] : o.shape[3], a = t10 === "NHWC" ? o.shape[3] : o.shape[1]; $(e > 1, () => `blockSize should be > 1 for depthToSpace, but was: ${e}`), $(n * e >= 0, () => `Negative dimension size caused by overflow when multiplying ${n} and ${e} for depthToSpace with input shape @@ -5851,35 +6047,35 @@ function eU(r, e, t10 = "NHWC") { ${s} and ${e} for depthToSpace with input shape ${o.shape}`), $(a % (e * e) === 0, () => `Dimension size must be evenly divisible by ${e * e} but is ${a} for depthToSpace with input shape ${o.shape}`); let i = { x: o }, p = { blockSize: e, dataFormat: t10 }; - return T.runKernel(Yo, i, p); + return T.runKernel(cn, i, p); } -var Tv = N({ depthToSpace_: eU }); -function tU(r, e, t10, o, n = "NHWC", s = [1, 1], a) { +var Hk = N({ depthToSpace_: nH }); +function sH(r, e, t10, o, n = "NHWC", s = [1, 1], a) { let i = v(r, "x", "depthwiseConv2d", "float32"), p = v(e, "filter", "depthwiseConv2d", "float32"), u = i, c = false; i.rank === 3 && (c = true, u = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), $(u.rank === 4, () => `Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`), $(p.rank === 4, () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ${p.rank}.`); let l = n === "NHWC" ? u.shape[3] : u.shape[1]; - $(l === p.shape[2], () => `Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`), Mt("depthwiseConv2d", o, a); - let m = { x: u, filter: p }, d = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a }, f = T.runKernel(Qo, m, d); + $(l === p.shape[2], () => `Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`), Lt("depthwiseConv2d", o, a); + let m = { x: u, filter: p }, d = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a }, f = T.runKernel(ln, m, d); return c ? W(f, [f.shape[1], f.shape[2], f.shape[3]]) : f; } -var Bp = N({ depthwiseConv2d_: tU }); -function rU(r) { +var ac = N({ depthwiseConv2d_: sH }); +function aH(r) { let t10 = { x: v(r, "x", "diag") }; - return T.runKernel(si, t10); + return T.runKernel(Zs, t10); } -var _v = N({ diag_: rU }); -function oU(r, e, t10, o, n = [1, 1], s = "NHWC") { +var Kk = N({ diag_: aH }); +function iH(r, e, t10, o, n = [1, 1], s = "NHWC") { let a = v(r, "x", "dilation2d"), i = v(e, "filter", "dilation2d"); $(a.rank === 3 || a.rank === 4, () => `Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`), $(i.rank === 3, () => `Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`), $(s === "NHWC", () => `Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`); let p = a, u = false; a.rank === 3 && (p = W(a, [1, a.shape[0], a.shape[1], a.shape[2]]), u = true), $(p.shape[3] === i.shape[2], () => `Error in dilation2d: input and filter must have the same depth: ${p.shape[3]} vs ${i.shape[2]}`); - let c = { x: p, filter: i }, l = { strides: t10, pad: o, dilations: n }, m = T.runKernel(ai, c, l); + let c = { x: p, filter: i }, l = { strides: t10, pad: o, dilations: n }, m = T.runKernel(mn, c, l); return u ? W(m, [m.shape[1], m.shape[2], m.shape[3]]) : m; } -var $v = N({ dilation2d_: oU }); -var yr = {}; -Ge(yr, { assertAndGetBroadcastShape: () => Je, getBroadcastDims: () => Ev, getReductionAxes: () => Qm }); -function Ev(r, e) { +var qk = N({ dilation2d_: iH }); +var Sr = {}; +He(Sr, { assertAndGetBroadcastShape: () => rt, getBroadcastDims: () => jk, getReductionAxes: () => fd }); +function jk(r, e) { let t10 = r.length, o = []; for (let n = 0; n < t10; n++) { let s = t10 - 1 - n, a = r[s] || 1; @@ -5887,7 +6083,7 @@ function Ev(r, e) { } return o; } -function Qm(r, e) { +function fd(r, e) { let t10 = []; for (let o = 0; o < e.length; o++) { let n = r[r.length - o - 1], s = e.length - o - 1, a = e[s]; @@ -5895,376 +6091,383 @@ function Qm(r, e) { } return t10; } -function Je(r, e) { - let t10 = [], o = Math.max(r.length, e.length); - for (let n = 0; n < o; n++) { +function rt(r, e) { + let t10 = Math.max(r.length, e.length), o = new Array(t10); + for (let n = 0; n < t10; n++) { let s = r[r.length - n - 1]; s == null && (s = 1); let a = e[e.length - n - 1]; if (a == null && (a = 1), s === 1) - t10.unshift(a); + o[t10 - n - 1] = a; else if (a === 1) - t10.unshift(s); + o[t10 - n - 1] = s; else if (s !== a) { let i = `Operands could not be broadcast together with shapes ${r} and ${e}.`; throw Error(i); } else - t10.unshift(s); + o[t10 - n - 1] = s; } - return t10; + return o; } -function nU(r, e) { +function uH(r, e) { let t10 = v(r, "a", "equal", "string_or_numeric"), o = v(e, "b", "equal", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(en, n); + return T.runKernel(hn, n); } -var Zm = N({ equal_: nU }); -function sU(r, e, t10) { - let o = v(e, "a", "where"), n = v(t10, "b", "where"), s = v(r, "condition", "where", "bool"), a = Je(Je(s.shape, o.shape), n.shape), i = $i(s, a), p = $i(o, a), u = $i(n, a), c = { condition: i, t: p, e: u }; - return T.runKernel($s, c); +var hd = N({ equal_: uH }); +function pH(r, e, t10) { + let o = v(e, "a", "where"), n = v(t10, "b", "where"), s = v(r, "condition", "where", "bool"), a = rt(rt(s.shape, o.shape), n.shape), i = ru(s, a), p = ru(o, a), u = ru(n, a), c = { condition: i, t: p, e: u }; + return T.runKernel(ua, c); } -var ss = N({ where_: sU }); -function aU(r) { +var io = N({ where_: pH }); +function cH(r) { let t10 = { x: v(r, "x", "zerosLike") }; - return T.runKernel(Os, t10); + return T.runKernel(fa, t10); } -var Ut = N({ zerosLike_: aU }); -function iU(r, e) { +var Ht = N({ zerosLike_: cH }); +function lH(r, e) { let t10 = v(r, "a", "div"), o = v(e, "b", "div"); - [t10, o] = De(t10, o); - let n = He(t10, o), s = Ut(n), a = Zm(o, s); - return ss(a, s, n); + [t10, o] = Oe(t10, o); + let n = Ke(t10, o), s = Ht(n), a = hd(o, s); + return io(a, s, n); } -var Av = N({ divNoNan_: iU }); -function uU(r, e) { +var Xk = N({ divNoNan_: lH }); +function mH(r, e) { let t10 = v(r, "t1", "dot"), o = v(e, "t2", "dot"); $((t10.rank === 1 || t10.rank === 2) && (o.rank === 1 || o.rank === 2), () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ${t10.rank} and ${o.rank}.`); let n = t10.rank === 1 ? t10.size : t10.shape[1], s = o.rank === 1 ? o.size : o.shape[0]; if ($(n === s, () => `Error in dot: inner dimensions of inputs must match, but got ${n} and ${s}.`), t10.rank === 1 && o.rank === 1) { - let a = W(t10, [1, -1]), i = W(o, [-1, 1]), p = Xe(a, i); + let a = W(t10, [1, -1]), i = W(o, [-1, 1]), p = Qe(a, i); return W(p, []); } else if (t10.rank === 1 && o.rank === 2) { - let a = W(t10, [1, -1]), i = W(o, [o.shape[0], o.shape[1]]), p = Xe(a, i); + let a = W(t10, [1, -1]), i = W(o, [o.shape[0], o.shape[1]]), p = Qe(a, i); return W(p, [p.size]); } else if (t10.rank === 2 && o.rank === 1) { - let a = W(o, [-1, 1]), i = Xe(t10, a); + let a = W(o, [-1, 1]), i = Qe(t10, a); return W(i, [i.size]); } else { let a = W(o, [o.shape[0], o.shape[1]]); - return Xe(t10, a); + return Qe(t10, a); } } -var Rv = N({ dot_: uU }); -function pU(r, ...e) { +var Yk = N({ dot_: mH }); +function dH(r, ...e) { let t10 = e.map((n, s) => v(n, `tensors${s}`, "einsum")), o = { equation: r }; - return T.runKernel(ii, t10, o); + return T.runKernel(Fi, t10, o); } -var Dv = N({ einsum_: pU }); -function cU(r) { +var Qk = N({ einsum_: dH }); +function fH(r) { let t10 = { x: v(r, "x", "elu", "float32") }; - return T.runKernel(Jo, t10); + return T.runKernel(fn, t10); } -var Jm = N({ elu_: cU }); -function lU(r) { +var gd = N({ elu_: fH }); +function hH(r, e) { + let t10 = v(r, "x", "ensureShape", "string_or_numeric"); + if (!OC(t10.shape, e)) + throw new Error(`EnsureShape: Shape of tensor ${t10.shape} is not compatible with expected shape ${e}`); + return r; +} +var Zk = N({ ensureShape_: hH }); +function gH(r) { let e = v(r, "x", "erf"); - $(e.dtype === "int32" || e.dtype === "float32", () => "Input dtype must be `int32` or `float32`."), e.dtype === "int32" && (e = je(e, "float32")); + $(e.dtype === "int32" || e.dtype === "float32", () => "Input dtype must be `int32` or `float32`."), e.dtype === "int32" && (e = Ye(e, "float32")); let t10 = { x: e }; - return T.runKernel(da, t10); + return T.runKernel(Wa, t10); } -var Fv = N({ erf_: lU }); -function uC(r, e) { +var Jk = N({ erf_: gH }); +function Iw(r, e) { for (let t10 = 0; t10 < r.length; ++t10) if (r[r.length - t10 - 1] !== e - 1 - t10) return false; return true; } -function Ov(r, e, t10) { +function e2(r, e, t10) { let o = r.length + e.length, n = [], s = 0, a = 0; for (let i = 0; i < o; i++) t10.indexOf(i) === -1 ? n.push(r[s++]) : n.push(e[a++]); return n; } -function mU(r, e) { +function xH(r, e) { let t10 = [], o = r.length; for (let s = 0; s < o; s++) e.indexOf(s) === -1 && t10.push(r[s]); let n = e.map((s) => r[s]); return [t10, n]; } -function Ea(r, e) { +function ti(r, e) { let t10 = e.map((o) => 1); - return Ov(r, t10, e); + return e2(r, t10, e); } -function dU(r, e, t10) { - $(uC(e, t10), () => `${r} supports only inner-most axes for now. Got axes ${e} and rank-${t10} input.`); +function yH(r, e, t10) { + $(Iw(e, t10), () => `${r} supports only inner-most axes for now. Got axes ${e} and rank-${t10} input.`); } -function fU(r, e) { - if (uC(r, e)) +function bH(r, e) { + if (Iw(r, e)) return null; let t10 = []; for (let o = 0; o < e; ++o) r.indexOf(o) === -1 && t10.push(o); return r.forEach((o) => t10.push(o)), t10; } -function hU(r) { +function CH(r) { return r.map((e, t10) => [t10, e]).sort((e, t10) => e[1] - t10[1]).map((e) => e[0]); } -function gU(r, e) { +function wH(r, e) { let t10 = []; for (let o = e - r; o < e; ++o) t10.push(o); return t10; } -function yU(r, e = null, t10 = false) { +function IH(r, e = null, t10 = false) { let n = { x: v(r, "x", "max") }, s = { reductionIndices: e, keepDims: t10 }; - return T.runKernel(yn, n, s); + return T.runKernel(Ln, n, s); } -var Gs = N({ max_: yU }); -function bU(r, e = null, t10 = false) { +var Ia = N({ max_: IH }); +function vH(r, e = null, t10 = false) { let n = { x: v(r, "x", "min") }, s = { axis: e, keepDims: t10 }; - return T.runKernel(wn, n, s); + return T.runKernel(Wn, n, s); } -var rl = N({ min_: bU }); -function CU(r, e) { +var vl = N({ min_: vH }); +function kH(r, e) { let t10 = v(r, "base", "pow"), o = v(e, "exp", "pow"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(An, n); + return T.runKernel(Zn, n); } -var Aa = N({ pow_: CU }); -function Ce(r, e) { - if ((Bt(r) && e !== "string" || Array.isArray(r)) && e !== "complex64") +var ri = N({ pow_: kH }); +function ke(r, e) { + if ((Pt(r) && e !== "string" || Array.isArray(r)) && e !== "complex64") throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)"); - if (e === "string" && Bt(r) && !(r instanceof Uint8Array)) + if (e === "string" && Pt(r) && !(r instanceof Uint8Array)) throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`."); - return xr(r, [], [], e); + return wr(r, [], [], e); } -function SU(r) { +function NH(r) { let t10 = { x: v(r, "x", "sqrt", "float32") }; - return T.runKernel(Hn, t10); + return T.runKernel(xs, t10); } -var $r = N({ sqrt_: SU }); -function wU(r) { +var Rr = N({ sqrt_: NH }); +function TH(r) { let e = v(r, "x", "square"), t10 = {}; return T.runKernel("Square", { x: e }, t10); } -var Qt = N({ square_: wU }); -function IU(r, e = null, t10 = false) { +var Jt = N({ square_: TH }); +function _H(r, e = null, t10 = false) { let o = v(r, "x", "sum"); - o.dtype === "bool" && (o = je(o, "int32")); + o.dtype === "bool" && (o = Ye(o, "int32")); let n = { x: o }, s = { axis: e, keepDims: t10 }; - return T.runKernel(Kn, n, s); + return T.runKernel(ys, n, s); } -var et = N({ sum_: IU }); -function vU(r, e = "euclidean", t10 = null, o = false) { +var ot = N({ sum_: _H }); +function $H(r, e = "euclidean", t10 = null, o = false) { r = v(r, "x", "norm"); - let n = Pv(r, e, t10), s = n.shape; + let n = t2(r, e, t10), s = n.shape; if (o) { - let a = Ja(t10, r.shape); - s = Ea(n.shape, a); + let a = vi(t10, r.shape); + s = ti(n.shape, a); } return W(n, s); } -function Pv(r, e, t10 = null) { +function t2(r, e, t10 = null) { if (r.rank === 0) - return Yt(r); + return Zt(r); if (r.rank !== 1 && t10 === null) - return Pv(W(r, [-1]), e, t10); + return t2(W(r, [-1]), e, t10); if (r.rank === 1 || typeof t10 == "number" || Array.isArray(t10) && t10.length === 1) { if (e === 1) - return et(Yt(r), t10); + return ot(Zt(r), t10); if (e === 1 / 0) - return Gs(Yt(r), t10); + return Ia(Zt(r), t10); if (e === -1 / 0) - return rl(Yt(r), t10); + return vl(Zt(r), t10); if (e === "euclidean" || e === 2) - return $r(et(Aa(Yt(r), Ce(2, "int32")), t10)); + return Rr(ot(ri(Zt(r), ke(2, "int32")), t10)); throw new Error(`Error in norm: invalid ord value: ${e}`); } if (Array.isArray(t10) && t10.length === 2) { if (e === 1) - return Gs(et(Yt(r), t10[0]), t10[1] - 1); + return Ia(ot(Zt(r), t10[0]), t10[1] - 1); if (e === 1 / 0) - return Gs(et(Yt(r), t10[1]), t10[0]); + return Ia(ot(Zt(r), t10[1]), t10[0]); if (e === -1 / 0) - return rl(et(Yt(r), t10[1]), t10[0]); + return vl(ot(Zt(r), t10[1]), t10[0]); if (e === "fro" || e === "euclidean") - return $r(et(Qt(r), t10)); + return Rr(ot(Jt(r), t10)); throw new Error(`Error in norm: invalid ord value: ${e}`); } throw new Error(`Error in norm: invalid axis: ${t10}`); } -var iu = N({ norm_: vU }); -function kU(r, e = null, t10 = false) { - return iu(r, "euclidean", e, t10); +var Lu = N({ norm_: $H }); +function EH(r, e = null, t10 = false) { + return Lu(r, "euclidean", e, t10); } -var Mv = N({ euclideanNorm_: kU }); -function NU(r) { +var r2 = N({ euclideanNorm_: EH }); +function RH(r) { let t10 = { x: v(r, "x", "exp") }; - return T.runKernel(tn, t10); + return T.runKernel(gn, t10); } -var So = N({ exp_: NU }); -function TU(r, e = 0) { +var ko = N({ exp_: RH }); +function DH(r, e = 0) { let t10 = v(r, "x", "expandDims", "string_or_numeric"); $(e <= t10.rank, () => "Axis must be <= rank of the tensor"); let o = { input: t10 }, n = { dim: e }; - return T.runKernel(Ss, o, n); + return T.runKernel(Js, o, n); } -var Ra = N({ expandDims_: TU }); -function _U(r) { +var oi = N({ expandDims_: DH }); +function AH(r) { let t10 = { x: v(r, "x", "expm1") }; - return T.runKernel(fa, t10); + return T.runKernel(xn, t10); } -var Lv = N({ expm1_: _U }); -function $U(r, e) { +var o2 = N({ expm1_: AH }); +function FH(r, e) { let t10 = v(r, "x", "tile", "string_or_numeric"); $(t10.rank === e.length, () => `Error in transpose: rank of input ${t10.rank} must match length of reps ${e}.`); let o = { x: t10 }, n = { reps: e }; - return T.runKernel(to, o, n); + return T.runKernel(so, o, n); } -var Ai = N({ tile_: $U }); -function EU(r, e, t10, o = "float32") { +var nu = N({ tile_: FH }); +function PH(r, e, t10, o = "float32") { e == null && (e = r); - let n = le([r, e], o), s = r <= e ? r : e; + let n = me([r, e], o), s = r <= e ? r : e; for (let i = 0; i < s; ++i) n.set(1, i, i); let a = W(n.toTensor(), [r, e]); if (t10 == null) return a; if (t10.length === 1) - return Ai(Ra(a, 0), [t10[0], 1, 1]); + return nu(oi(a, 0), [t10[0], 1, 1]); if (t10.length === 2) - return Ai(Ra(Ra(a, 0), 0), [t10[0], t10[1], 1, 1]); + return nu(oi(oi(a, 0), 0), [t10[0], t10[1], 1, 1]); if (t10.length === 3) - return Ai(Ra(Ra(Ra(a, 0), 0), 0), [t10[0], t10[1], t10[2], 1, 1]); + return nu(oi(oi(oi(a, 0), 0), 0), [t10[0], t10[1], t10[2], 1, 1]); throw new Error(`eye() currently supports only 1D and 2D batchShapes, but received ${t10.length}D.`); } -var ed = N({ eye_: EU }); -function AU(r) { +var xd = N({ eye_: PH }); +function OH(r) { let t10 = { x: v(r, "x", "floor", "float32") }; - return T.runKernel(on, t10); + return T.runKernel(bn, t10); } -var td = N({ floor_: AU }); -function RU(r, e, t10 = 0, o = 0) { +var yd = N({ floor_: OH }); +function MH(r, e, t10 = 0, o = 0) { let n = v(r, "x", "gather"), s = v(e, "indices", "gather", "int32"), a = { x: n, indices: s }, i = { axis: t10, batchDims: o }; - return T.runKernel(Is, a, i); + return T.runKernel(ta, a, i); } -var rd = N({ gather_: RU }); -function DU(r, e) { +var bd = N({ gather_: MH }); +function LH(r, e) { let t10 = v(r, "a", "greater", "string_or_numeric"), o = v(e, "b", "greater", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(un, n); + return T.runKernel(In, n); } -var uu = N({ greater_: DU }); -function FU(r, e) { +var Bu = N({ greater_: LH }); +function BH(r, e) { let t10 = v(r, "a", "greaterEqual", "string_or_numeric"), o = v(e, "b", "greaterEqual", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(pn, n); + return T.runKernel(vn, n); } -var od = N({ greaterEqual_: FU }); -function OU(r) { +var Cd = N({ greaterEqual_: BH }); +function zH(r) { let t10 = { input: v(r, "input", "imag") }; - return T.runKernel(ci, t10); + return T.runKernel(Mi, t10); } -var Ri = N({ imag_: OU }); -function PU(r) { +var su = N({ imag_: zH }); +function VH(r) { let t10 = { x: v(r, "x", "isFinite") }; - return T.runKernel(ha, t10); + return T.runKernel(kn, t10); } -var Bv = N({ isFinite_: PU }); -function MU(r) { +var n2 = N({ isFinite_: VH }); +function WH(r) { let t10 = { x: v(r, "x", "isInf") }; - return T.runKernel(ga, t10); + return T.runKernel(Nn, t10); } -var Vv = N({ isInf_: MU }); -function LU(r) { +var s2 = N({ isInf_: WH }); +function UH(r) { let t10 = { x: v(r, "x", "isNaN") }; - return T.runKernel(cn, t10); + return T.runKernel(Tn, t10); } -var zv = N({ isNaN_: LU }); -function BU(r, e = 0.2) { +var a2 = N({ isNaN_: UH }); +function GH(r, e = 0.2) { let o = { x: v(r, "x", "leakyRelu") }, n = { alpha: e }; - return T.runKernel(ln, o, n); + return T.runKernel(_n, o, n); } -var nd = N({ leakyRelu_: BU }); -function VU(r, e) { +var wd = N({ leakyRelu_: GH }); +function HH(r, e) { let t10 = v(r, "a", "less", "string_or_numeric"), o = v(e, "b", "less", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(mn, n); + return T.runKernel($n, n); } -var Wv = N({ less_: VU }); -function zU(r, e) { +var kl = N({ less_: HH }); +function KH(r, e) { let t10 = v(r, "a", "lessEqual", "string_or_numeric"), o = v(e, "b", "lessEqual", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(dn, n); + return T.runKernel(En, n); } -var Vp = N({ lessEqual_: zU }); -function Uv(r, e, t10) { +var ic = N({ lessEqual_: KH }); +function i2(r, e, t10) { if (t10 <= 0) throw new Error("The number of values should be positive."); let o = { start: r, stop: e, num: t10 }; - return T.runKernel(li, {}, o); + return T.runKernel(Rn, {}, o); } -function WU(r, e = 5, t10 = 1, o = 1, n = 0.5) { +function qH(r, e = 5, t10 = 1, o = 1, n = 0.5) { let s = v(r, "x", "localResponseNormalization"); $(s.rank === 4 || s.rank === 3, () => `Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`), $(sa(e), () => `Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`); + rank ${s.rank}.`), $(Ba(e), () => `Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`); let a = s, i = false; s.rank === 3 && (i = true, a = W(s, [1, s.shape[0], s.shape[1], s.shape[2]])); - let p = { x: a }, u = { depthRadius: e, bias: t10, alpha: o, beta: n }, c = T.runKernel(mi, p, u); + let p = { x: a }, u = { depthRadius: e, bias: t10, alpha: o, beta: n }, c = T.runKernel(Mn, p, u); return i ? W(c, [c.shape[1], c.shape[2], c.shape[3]]) : c; } -var Gv = N({ localResponseNormalization_: WU }); -function UU(r) { +var u2 = N({ localResponseNormalization_: qH }); +function jH(r) { let t10 = { x: v(r, "x", "log", "float32") }; - return T.runKernel(fn, t10); + return T.runKernel(Dn, t10); } -var Da = N({ log_: UU }); -function GU(r) { +var ni = N({ log_: jH }); +function XH(r) { let t10 = { x: v(r, "x", "log1p") }; - return T.runKernel(xa, t10); + return T.runKernel(An, t10); } -var sd = N({ log1p_: GU }); -function HU(r) { - return $(gs(r), () => "The f passed in grad(f) must be a function"), (e, t10) => { +var Sd = N({ log1p_: XH }); +function YH(r) { + return $(Ws(r), () => "The f passed in grad(f) must be a function"), (e, t10) => { let o = v(e, "x", "tf.grad", "string_or_numeric"), n = t10 != null ? v(t10, "dy", "tf.grad") : null; return T.tidy(() => { let { value: s, grads: a } = T.gradients(() => r(o), [o], n); - return n != null && gt(s.shape, n.shape, "The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"), ad(a), a[0]; + return n != null && xt(s.shape, n.shape, "The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"), Id(a), a[0]; }); }; } -function KU(r) { - return $(gs(r), () => "The f passed in grads(f) must be a function"), (e, t10) => { +function QH(r) { + return $(Ws(r), () => "The f passed in grads(f) must be a function"), (e, t10) => { $(Array.isArray(e), () => "The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"); - let o = _a(e, "args", "tf.grads", "string_or_numeric"), n = t10 != null ? v(t10, "dy", "tf.grads") : null; + let o = Ja(e, "args", "tf.grads", "string_or_numeric"), n = t10 != null ? v(t10, "dy", "tf.grads") : null; return T.tidy(() => { let { value: s, grads: a } = T.gradients(() => r(...o), o, n); - return n != null && gt(s.shape, n.shape, "The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), ad(a), a; + return n != null && xt(s.shape, n.shape, "The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), Id(a), a; }); }; } -function qU(r) { - return $(gs(r), () => "The f passed in valueAndGrad(f) must be a function"), (e, t10) => { - $(e instanceof it, () => "The x passed in valueAndGrad(f)(x) must be a tensor"), $(t10 == null || t10 instanceof it, () => "The dy passed in valueAndGrad(f)(x, dy) must be a tensor"); +function ZH(r) { + return $(Ws(r), () => "The f passed in valueAndGrad(f) must be a function"), (e, t10) => { + $(e instanceof pt, () => "The x passed in valueAndGrad(f)(x) must be a tensor"), $(t10 == null || t10 instanceof pt, () => "The dy passed in valueAndGrad(f)(x, dy) must be a tensor"); let { grads: o, value: n } = T.gradients(() => r(e), [e], t10); - return ad(o), { grad: o[0], value: n }; + return Id(o), { grad: o[0], value: n }; }; } -function jU(r) { - return $(gs(r), () => "The f passed in valueAndGrads(f) must be a function"), (e, t10) => { - $(Array.isArray(e) && e.every((n) => n instanceof it), () => "The args passed in valueAndGrads(f)(args) must be array of tensors"), $(t10 == null || t10 instanceof it, () => "The dy passed in valueAndGrads(f)(args, dy) must be a tensor"); +function JH(r) { + return $(Ws(r), () => "The f passed in valueAndGrads(f) must be a function"), (e, t10) => { + $(Array.isArray(e) && e.every((n) => n instanceof pt), () => "The args passed in valueAndGrads(f)(args) must be array of tensors"), $(t10 == null || t10 instanceof pt, () => "The dy passed in valueAndGrads(f)(args, dy) must be a tensor"); let o = T.gradients(() => r(...e), e, t10); - return t10 != null && gt(o.value.shape, t10.shape, "The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), ad(o.grads), o; + return t10 != null && xt(o.value.shape, t10.shape, "The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), Id(o.grads), o; }; } -function pC(r, e) { - $(gs(r), () => "The f passed in variableGrads(f) must be a function"), $(e == null || Array.isArray(e) && e.every((u) => u instanceof Na), () => "The varList passed in variableGrads(f, varList) must be an array of variables"); +function vw(r, e) { + $(Ws(r), () => "The f passed in variableGrads(f) must be a function"), $(e == null || Array.isArray(e) && e.every((u) => u instanceof Qa), () => "The varList passed in variableGrads(f, varList) must be an array of variables"); let t10 = e != null; if (!t10) { e = []; @@ -6280,166 +6483,166 @@ function pC(r, e) { i[c] != null && (p[u.name] = i[c]); }), o != null && o.forEach((u) => p[u.name] = null), { value: a, grads: p }; } -function br(r) { +function Ir(r) { return T.customGrad(r); } -function ad(r) { +function Id(r) { if (r.filter((t10) => t10 == null).length > 0) throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.`); } -function XU(r) { +function eK(r) { let t10 = { x: v(r, "x", "neg") }; - return T.runKernel(vs, t10); + return T.runKernel(oa, t10); } -var Cr = N({ neg_: XU }); -function YU(r) { +var pr = N({ neg_: eK }); +function tK(r) { let t10 = { x: v(r, "x", "softplus") }; - return T.runKernel(Ia, t10); + return T.runKernel(gs, t10); } -var id = N({ softplus_: YU }); -function QU(r) { +var vd = N({ softplus_: tK }); +function rK(r) { let e = v(r, "x", "logSigmoid"); - return br((o) => ({ value: Cr(id(Cr(o))), gradFunc: (a) => ne(a, Ws(Cr(o))) }))(e); + return Ir((o) => ({ value: pr(vd(pr(o))), gradFunc: (a) => se(a, wa(pr(o))) }))(e); } -var Hv = N({ logSigmoid_: QU }); -function ZU(r, e) { +var p2 = N({ logSigmoid_: rK }); +function oK(r, e) { let t10 = v(r, "a", "sub"), o = v(e, "b", "sub"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(Yn, n); + return T.runKernel(Is, n); } -var ke = N({ sub_: ZU }); -function JU(r, e = -1) { +var Te = N({ sub_: oK }); +function nK(r, e = -1) { let t10 = v(r, "logits", "logSoftmax"); if (e === -1 && (e = t10.rank - 1), e !== t10.rank - 1) throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${t10.rank} and axis was ${e}`); - return br((n, s) => { - let i = Gs(n, e, true), p = ke(n, i), u = ke(je(p, "float32"), Da(et(So(p), e, true))); + return Ir((n, s) => { + let i = Ia(n, e, true), p = Te(n, i), u = Te(Ye(p, "float32"), ni(ot(ko(p), e, true))); return s([u]), { value: u, gradFunc: (l, m) => { - let [d] = m, f = true, h = So(d); - return ke(l, ne(et(l, e, f), h)); + let [d] = m, f = true, h = ko(d); + return Te(l, se(ot(l, e, f), h)); } }; })(t10); } -var Kv = N({ logSoftmax_: JU }); -function e4(r, e = null, t10 = false) { - let o = v(r, "x", "logSumExp"), n = Ja(e, o.shape), s = Gs(o, n, true), a = ke(o, s), i = So(a), p = et(i, n), u = Da(p), c = be(W(s, u.shape), u); +var c2 = N({ logSoftmax_: nK }); +function sK(r, e = null, t10 = false) { + let o = v(r, "x", "logSumExp"), n = vi(e, o.shape), s = Ia(o, n, true), a = Te(o, s), i = ko(a), p = ot(i, n), u = ni(p), c = be(W(s, u.shape), u); if (t10) { - let l = Ea(c.shape, n); + let l = ti(c.shape, n); return W(c, l); } return c; } -var ud = N({ logSumExp_: e4 }); -function t4(r, e) { +var kd = N({ logSumExp_: sK }); +function aK(r, e) { let t10 = v(r, "a", "logicalAnd", "bool"), o = v(e, "b", "logicalAnd", "bool"); - Je(t10.shape, o.shape); + rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(hn, n); + return T.runKernel(Fn, n); } -var pu = N({ logicalAnd_: t4 }); -function r4(r) { +var zu = N({ logicalAnd_: aK }); +function iK(r) { let t10 = { x: v(r, "x", "logicalNot", "bool") }; - return T.runKernel(gn, t10); + return T.runKernel(Pn, t10); } -var pd = N({ logicalNot_: r4 }); -function o4(r, e) { +var Nd = N({ logicalNot_: iK }); +function uK(r, e) { let t10 = v(r, "a", "logicalOr", "bool"), o = v(e, "b", "logicalOr", "bool"); - Je(t10.shape, o.shape); + rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(xn, n); + return T.runKernel(On, n); } -var cd = N({ logicalOr_: o4 }); -function n4(r, e) { +var Td = N({ logicalOr_: uK }); +function pK(r, e) { let t10 = v(r, "a", "logicalXor", "bool"), o = v(e, "b", "logicalXor", "bool"); - return Je(t10.shape, o.shape), pu(cd(r, e), pd(pu(r, e))); + return rt(t10.shape, o.shape), zu(Td(r, e), Nd(zu(r, e))); } -var qv = N({ logicalXor_: n4 }); -var ld = 2147483648; -function s4(r, e, t10 = "left") { +var l2 = N({ logicalXor_: pK }); +var _d = 2147483648; +function cK(r, e, t10 = "left") { let o = v(r, "sortedSequence", "searchSorted"), n = v(e, "values", "searchSorted"), s = o.shape[o.shape.length - 1], a = n.shape[n.shape.length - 1], i = W(o, [-1, s]), p = W(n, [-1, a]); if (i.rank < 2) throw new Error("Sorted input argument must be at least 2-dimensional"); if (i.shape[0] !== p.shape[0]) throw new Error("Leading dimension of 'sortedSequence' and 'values' must match."); - if (We(p.shape) >= ld) - throw new Error(`values tensor size must less than ${ld}`); - if (i.shape[1] >= ld) - throw new Error(`trailing dim_size must less than ${ld} for int32 output type, was ${i.shape[1]}`); + if (Ue(p.shape) >= _d) + throw new Error(`values tensor size must less than ${_d}`); + if (i.shape[1] >= _d) + throw new Error(`trailing dim_size must less than ${_d} for int32 output type, was ${i.shape[1]}`); let u = { sortedSequence: i, values: p }, c = { side: t10 }; - return T.runKernel(fi, u, c); + return T.runKernel(ls, u, c); } -var ol = N({ searchSorted_: s4 }); -function jv(r, e) { - return ol(r, e, "left"); +var Nl = N({ searchSorted_: cK }); +function m2(r, e) { + return Nl(r, e, "left"); } -function a4(r, e, t10, o, n) { +function lK(r, e, t10, o, n) { let s = v(r, "x", "maxPool"), a = 1, i = s, p = false; - s.rank === 3 && (p = true, i = W(s, [1, s.shape[0], s.shape[1], s.shape[2]])), $(i.rank === 4, () => `Error in maxPool: input must be rank 4 but got rank ${i.rank}.`), $(mr(t10, a), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${t10} and dilations '${a}'`), Mt("maxPool", o, n); - let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n }, l = T.runKernel(Cn, u, c); + s.rank === 3 && (p = true, i = W(s, [1, s.shape[0], s.shape[1], s.shape[2]])), $(i.rank === 4, () => `Error in maxPool: input must be rank 4 but got rank ${i.rank}.`), $(gr(t10, a), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${t10} and dilations '${a}'`), Lt("maxPool", o, n); + let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n }, l = T.runKernel(zn, u, c); return p ? W(l, [l.shape[1], l.shape[2], l.shape[3]]) : l; } -var md = N({ maxPool_: a4 }); -function i4(r, e = [1, 1, 1], t10, o, n, s = "NDHWC") { +var $d = N({ maxPool_: lK }); +function mK(r, e = [1, 1, 1], t10, o, n, s = "NDHWC") { let a = v(r, "x", "maxPool3d"), i = a, p = false; - a.rank === 4 && (p = true, i = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(i.rank === 5, () => `Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`), $(s === "NDHWC", () => `Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`), Mt("maxPool3d", o, n); - let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n, dataFormat: s }, l = T.runKernel(Cp, u, c); + a.rank === 4 && (p = true, i = W(a, [1, a.shape[0], a.shape[1], a.shape[2], a.shape[3]])), $(i.rank === 5, () => `Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`), $(s === "NDHWC", () => `Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`), Lt("maxPool3d", o, n); + let u = { x: i }, c = { filterSize: e, strides: t10, pad: o, dimRoundingMode: n, dataFormat: s }, l = T.runKernel(ra, u, c); return p ? W(l, [l.shape[1], l.shape[2], l.shape[3], l.shape[4]]) : l; } -var Xv = N({ maxPool3d_: i4 }); -function u4(r, e, t10, o, n = false) { - let a = { x: v(r, "x", "maxPoolWithArgmax") }, i = { filterSize: e, strides: t10, pad: o, includeBatchInIndex: n }, p = T.runKernel(Sp, a, i); +var d2 = N({ maxPool3d_: mK }); +function dK(r, e, t10, o, n = false) { + let a = { x: v(r, "x", "maxPoolWithArgmax") }, i = { filterSize: e, strides: t10, pad: o, includeBatchInIndex: n }, p = T.runKernel(Bi, a, i); return { result: p[0], indexes: p[1] }; } -var Yv = N({ maxPoolWithArgmax_: u4 }); -function p4(r, e) { +var f2 = N({ maxPoolWithArgmax_: dK }); +function fK(r, e) { let t10 = v(r, "a", "maximum"), o = v(e, "b", "maximum"); - [t10, o] = De(t10, o), t10.dtype === "bool" && (t10 = je(t10, "int32"), o = je(o, "int32")), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), t10.dtype === "bool" && (t10 = Ye(t10, "int32"), o = Ye(o, "int32")), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(bn, n); + return T.runKernel(Bn, n); } -var dd = N({ maximum_: p4 }); -function c4(r, e = null, t10 = false) { +var Ed = N({ maximum_: fK }); +function hK(r, e = null, t10 = false) { let n = { x: v(r, "x", "mean") }, s = { axis: e, keepDims: t10 }; - return T.runKernel(Sn, n, s); + return T.runKernel(Vn, n, s); } -var cu = N({ mean_: c4 }); -function Br(r, e = "float32") { - if (bt(r), e === "complex64") { - let o = Br(r, "float32"), n = Br(r, "float32"); - return Tr(o, n); +var Vu = N({ mean_: hK }); +function Wr(r, e = "float32") { + if (Ct(r), e === "complex64") { + let o = Wr(r, "float32"), n = Wr(r, "float32"); + return $r(o, n); } - let t10 = lp(We(r), e); + let t10 = Up(Ue(r), e); return T.makeTensor(t10, r, e); } -function Hs(r, e = "float32") { - if (bt(r), e === "complex64") { - let o = Hs(r, "float32"), n = Br(r, "float32"); - return Tr(o, n); +function va(r, e = "float32") { + if (Ct(r), e === "complex64") { + let o = va(r, "float32"), n = Wr(r, "float32"); + return $r(o, n); } - let t10 = Wc(We(r), e); + let t10 = pl(Ue(r), e); return T.makeTensor(t10, r, e); } -function Qv(r, e, { indexing: t10 = "xy" } = {}) { +function h2(r, e, { indexing: t10 = "xy" } = {}) { if (t10 !== "xy" && t10 !== "ij") throw new TypeError(`${t10} is not a valid third argument to meshgrid`); if (r === void 0) return []; - let o = v(r, "x", "meshgrid", r instanceof it ? r.dtype : "float32"); + let o = v(r, "x", "meshgrid", r instanceof pt ? r.dtype : "float32"); if (e === void 0) return [o]; - let n = v(e, "y", "meshgrid", e instanceof it ? e.dtype : "float32"), s = We(o.shape), a = We(n.shape); - return t10 === "xy" ? (o = W(o, [1, -1]), n = W(n, [-1, 1]), [Xe(Hs([a, 1], o.dtype), o), Xe(n, Hs([1, s], n.dtype))]) : (o = W(o, [-1, 1]), n = W(n, [1, -1]), [Xe(o, Hs([1, a], o.dtype)), Xe(Hs([s, 1], n.dtype), n)]); + let n = v(e, "y", "meshgrid", e instanceof pt ? e.dtype : "float32"), s = Ue(o.shape), a = Ue(n.shape); + return t10 === "xy" ? (o = W(o, [1, -1]), n = W(n, [-1, 1]), [Qe(va([a, 1], o.dtype), o), Qe(n, va([1, s], n.dtype))]) : (o = W(o, [-1, 1]), n = W(n, [1, -1]), [Qe(o, va([1, a], o.dtype)), Qe(va([s, 1], n.dtype), n)]); } -function l4(r, e) { +function gK(r, e) { let t10 = v(r, "a", "minimum"), o = v(e, "b", "minimum"); - [t10, o] = De(t10, o), t10.dtype === "bool" && (t10 = je(t10, "int32"), o = je(o, "int32")), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), t10.dtype === "bool" && (t10 = Ye(t10, "int32"), o = Ye(o, "int32")), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(In, n); + return T.runKernel(Un, n); } -var fd = N({ minimum_: l4 }); -function m4(r, e, t10) { +var Wu = N({ minimum_: gK }); +function xK(r, e, t10) { $(t10 === "reflect" || t10 === "symmetric", () => `Invalid mode. Mode must be either reflect or symmetric. Got ${t10}.`); let o = v(r, "x", "mirrorPad"); if (o.rank === 0) @@ -6449,26 +6652,26 @@ function m4(r, e, t10) { for (let i = 0; i < o.rank; i++) $(e[i].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), $(e[i][0] >= 0 && e[i][0] <= o.shape[i] - n && e[i][1] >= 0 && e[i][1] <= o.shape[i] - n, () => `Padding in dimension ${i} cannot be greater than or equal to ${o.shape[i] - n} or less than 0 for input of shape ${o.shape}`); let s = { paddings: e, mode: t10 }, a = { x: o }; - return T.runKernel(vn, a, s); + return T.runKernel(Gn, a, s); } -var Zv = N({ mirrorPad_: m4 }); -function d4(r, e) { +var g2 = N({ mirrorPad_: xK }); +function yK(r, e) { let t10 = v(r, "a", "mod"), o = v(e, "b", "mod"); - [t10, o] = De(t10, o); + [t10, o] = Oe(t10, o); let n = { a: t10, b: o }; - return T.runKernel(ya, n); + return T.runKernel(Ga, n); } -var Jv = N({ mod_: d4 }); -function f4(r, e = null, t10 = false) { +var x2 = N({ mod_: yK }); +function bK(r, e = null, t10 = false) { r = v(r, "x", "moments"); - let o = Ja(e, r.shape), n = cu(r, o, t10), s = n.shape; - t10 || (s = Ea(n.shape, o)); - let a = Qt(ke(je(r, "float32"), W(n, s))), i = cu(a, o, t10); + let o = vi(e, r.shape), n = Vu(r, o, t10), s = n.shape; + t10 || (s = ti(n.shape, o)); + let a = Jt(Te(Ye(r, "float32"), W(n, s))), i = Vu(a, o, t10); return { mean: n, variance: i }; } -var ek = N({ moments_: f4 }); -function h4(r, e, t10, o) { - let n = v(e, "data", "multiRNNCell"), s = _a(t10, "c", "multiRNNCell"), a = _a(o, "h", "multiRNNCell"), i = n, p = []; +var y2 = N({ moments_: bK }); +function CK(r, e, t10, o) { + let n = v(e, "data", "multiRNNCell"), s = Ja(t10, "c", "multiRNNCell"), a = Ja(o, "h", "multiRNNCell"), i = n, p = []; for (let l = 0; l < r.length; l++) { let m = r[l](i, s[l], a[l]); p.push(m[0]), p.push(m[1]), i = m[1]; @@ -6478,123 +6681,123 @@ function h4(r, e, t10, o) { u.push(p[l]), c.push(p[l + 1]); return [u, c]; } -var tk = N({ multiRNNCell_: h4 }); -function g4(r, e, t10, o = false) { +var b2 = N({ multiRNNCell_: CK }); +function wK(r, e, t10, o = false) { let n = v(r, "logits", "multinomial"), s = n.size, a = n.rank; if (s < 2) throw new Error(`Error in multinomial: you need at least 2 outcomes, but got ${s}.`); if (a > 2) throw new Error(`Rank of probabilities must be 1 or 2, but is ${a}`); t10 = t10 || Math.random(); - let p = { logits: a === 1 ? W(n, [1, -1]) : n }, u = { numSamples: e, seed: t10, normalized: o }, c = T.runKernel(wp, p, u); + let p = { logits: a === 1 ? W(n, [1, -1]) : n }, u = { numSamples: e, seed: t10, normalized: o }, c = T.runKernel(Hn, p, u); return a === 1 ? W(c, [c.size]) : c; } -var rk = N({ multinomial_: g4 }); -function x4(r, e) { +var C2 = N({ multinomial_: wK }); +function SK(r, e) { let t10 = v(r, "a", "notEqual", "string_or_numeric"), o = v(e, "b", "notEqual", "string_or_numeric"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }; - return T.runKernel(Nn, n); + return T.runKernel(qn, n); } -var hd = N({ notEqual_: x4 }); -function y4(r, e, t10 = 1, o = 0, n = "int32") { +var Rd = N({ notEqual_: SK }); +function IK(r, e, t10 = 1, o = 0, n = "int32") { if (e < 2) throw new Error(`Error in oneHot: depth must be >=2, but it is ${e}`); let a = { indices: v(r, "indices", "oneHot", "int32") }, i = { dtype: n, depth: e, onValue: t10, offValue: o }; - return T.runKernel($n, a, i); + return T.runKernel(Yn, a, i); } -var nl = N({ oneHot_: y4 }); -function b4(r) { +var Tl = N({ oneHot_: IK }); +function vK(r) { let t10 = { x: v(r, "x", "onesLike") }; - return T.runKernel(ks, t10); + return T.runKernel(na, t10); } -var ok = N({ onesLike_: b4 }); -function C4(r, e) { +var w2 = N({ onesLike_: vK }); +function kK(r, e) { let t10 = v(r, "v1", "outerProduct"), o = v(e, "v2", "outerProduct"); $(t10.rank === 1 && o.rank === 1, () => `Error in outerProduct: inputs must be rank 1, but got ranks ${t10.rank} and ${o.rank}.`); let n = W(t10, [-1, 1]), s = W(o, [1, -1]); - return Xe(n, s); + return Qe(n, s); } -var nk = N({ outerProduct_: C4 }); -function S4(r, e, t10 = 0) { +var S2 = N({ outerProduct_: kK }); +function NK(r, e, t10 = 0) { let o = v(r, "x", "pad"); if (o.rank === 0) throw new Error("pad(scalar) is not defined. Pass non-scalar to pad"); let n = { paddings: e, constantValue: t10 }, s = { x: o }; - return T.runKernel(En, s, n); + return T.runKernel(Qn, s, n); } -var Ks = N({ pad_: S4 }); -function w4(r, e, t10 = 0) { - return $(e.length === 2, () => "Invalid number of paddings. Must be length of 2."), Ks(r, [e], t10); +var ka = N({ pad_: NK }); +function TK(r, e, t10 = 0) { + return $(e.length === 2, () => "Invalid number of paddings. Must be length of 2."), ka(r, [e], t10); } -var sk = N({ pad1d_: w4 }); -function I4(r, e, t10 = 0) { - return $(e.length === 2 && e[0].length === 2 && e[1].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), Ks(r, e, t10); +var I2 = N({ pad1d_: TK }); +function _K(r, e, t10 = 0) { + return $(e.length === 2 && e[0].length === 2 && e[1].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), ka(r, e, t10); } -var ak = N({ pad2d_: I4 }); -function v4(r, e, t10 = 0) { - return $(e.length === 3 && e[0].length === 2 && e[1].length === 2 && e[2].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), Ks(r, e, t10); +var v2 = N({ pad2d_: _K }); +function $K(r, e, t10 = 0) { + return $(e.length === 3 && e[0].length === 2 && e[1].length === 2 && e[2].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), ka(r, e, t10); } -var ik = N({ pad3d_: v4 }); -function k4(r, e, t10 = 0) { - return $(e.length === 4 && e[0].length === 2 && e[1].length === 2 && e[2].length === 2 && e[3].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), Ks(r, e, t10); +var k2 = N({ pad3d_: $K }); +function EK(r, e, t10 = 0) { + return $(e.length === 4 && e[0].length === 2 && e[1].length === 2 && e[2].length === 2 && e[3].length === 2, () => "Invalid number of paddings. Must be length of 2 each."), ka(r, e, t10); } -var uk = N({ pad4d_: k4 }); -function N4(r, e, t10) { +var N2 = N({ pad4d_: EK }); +function RK(r, e, t10) { let o = v(r, "x", "spaceToBatchND"); $(o.rank >= 1 + e.length, () => `input rank ${o.rank} should be > than [blockShape] ${e.length}`), $(t10.length === e.length, () => `paddings.shape[0] ${t10.length} must be equal to [blockShape] ${e.length}`), $(o.shape.reduce((a, i, p) => p > 0 && p <= e.length ? a && (i + t10[p - 1][0] + t10[p - 1][1]) % e[p - 1] === 0 : a, true), () => `input spatial dimensions ${o.shape.slice(1)} with paddings ${t10.toString()} must be divisible by blockShapes ${e.toString()}`); let n = { x: o }, s = { blockShape: e, paddings: t10 }; - return T.runKernel(As, n, s); + return T.runKernel(ca, n, s); } -var gd = N({ spaceToBatchND_: N4 }); -function T4(r, e, t10, o, n, s, a) { +var Dd = N({ spaceToBatchND_: RK }); +function DK(r, e, t10, o, n, s, a) { n == null && (n = [1, 1]), s == null && (s = 1), o === 0 && (o = "valid"); let i = v(r, "x", "maxPool"), p = i, u = false; - i.rank === 3 && (u = true, p = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), $(mr(s, n), () => `Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`); - let c = aC(p.shape, e, s, n, o), l = [c.dilationHeight, c.dilationWidth], m; - o === "same" ? m = $4([c.filterHeight, c.filterWidth], l) : m = [[0, 0], [0, 0]]; - let d = l[0] === 1 && l[1] === 1, [f, h] = _4([c.inHeight, c.inWidth], l, m), g = d ? o : "valid", x = d ? p : gd(p, l, f), C = (t10 === "avg" ? () => qm(x, e, s, g, a) : () => md(x, e, s, g, a))(), w = d ? C : jm(C, l, h); - return u ? W(w, [w.shape[1], w.shape[2], w.shape[3]]) : w; + i.rank === 3 && (u = true, p = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), $(gr(s, n), () => `Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`); + let c = ww(p.shape, e, s, n, o), l = [c.dilationHeight, c.dilationWidth], m; + o === "same" ? m = FK([c.filterHeight, c.filterWidth], l) : m = [[0, 0], [0, 0]]; + let d = l[0] === 1 && l[1] === 1, [f, h] = AK([c.inHeight, c.inWidth], l, m), g = d ? o : "valid", x = d ? p : Dd(p, l, f), w = (t10 === "avg" ? () => cd(x, e, s, g, a) : () => $d(x, e, s, g, a))(), S = d ? w : ld(w, l, h); + return u ? W(S, [S.shape[1], S.shape[2], S.shape[3]]) : S; } -function _4(r, e, t10) { +function AK(r, e, t10) { let o = t10.map((c) => c[0]), n = t10.map((c) => c[1]), s = r.concat(o, n), a = e.map((c, l) => (c - s[l] % c) % c), i = n.map((c, l) => c + a[l]), p = e.map((c, l) => [o[l], i[l]]), u = e.map((c, l) => [0, a[l]]); return [p, u]; } -function $4(r, e) { +function FK(r, e) { let o = r.map((a, i) => a + (a - 1) * (e[i] - 1)).map((a) => a - 1), n = o.map((a) => Math.floor(a / 2)), s = o.map((a, i) => a - n[i]); return o.map((a, i) => [n[i], s[i]]); } -var pk = N({ pool_: T4 }); -function E4(r, e) { +var T2 = N({ pool_: DK }); +function PK(r, e) { let t10 = v(r, "x", "prelu"), o = v(e, "alpha", "prelu"), n = { x: t10, alpha: o }; - return T.runKernel(Rn, n); + return T.runKernel(Jn, n); } -var xd = N({ prelu_: E4 }); -function A4(r, e = null, t10 = false) { +var Ad = N({ prelu_: PK }); +function OK(r, e = null, t10 = false) { let o = v(r, "x", "prod"); - o.dtype === "bool" && (o = je(o, "int32")); + o.dtype === "bool" && (o = Ye(o, "int32")); let n = { x: o }, s = { axis: e, keepDims: t10 }; - return T.runKernel(Dn, n, s); + return T.runKernel(es, n, s); } -var ck = N({ prod_: A4 }); -function R4(r, e, t10, o) { - let n = r.map((c, l) => v(c, `tensors${l}`, "raggedGather", "int32")), s = v(e, "paramsDenseValues", "raggedGather"), a = v(t10, "indices", "raggedGather", "int32"), i = { paramsNestedSplits: n, paramsDenseValues: s, indices: a }, p = { outputRaggedRank: o }, u = T.runKernel(Ip, i, p); +var _2 = N({ prod_: OK }); +function MK(r, e, t10, o) { + let n = r.map((c, l) => v(c, `tensors${l}`, "raggedGather", "int32")), s = v(e, "paramsDenseValues", "raggedGather"), a = v(t10, "indices", "raggedGather", "int32"), i = { paramsNestedSplits: n, paramsDenseValues: s, indices: a }, p = { outputRaggedRank: o }, u = T.runKernel(Kp, i, p); return { outputNestedSplits: u.slice(0, u.length - 1), outputDenseValues: u[u.length - 1] }; } -var lk = N({ raggedGather_: R4 }); -function D4(r, e, t10) { - let o = v(r, "starts", "raggedRange"), n = v(e, "limits", "raggedRange", o.dtype), s = v(t10, "deltas", "raggedRange", o.dtype), a = { starts: o, limits: n, deltas: s }, i = T.runKernel(vp, a); +var $2 = N({ raggedGather_: MK }); +function LK(r, e, t10) { + let o = v(r, "starts", "raggedRange"), n = v(e, "limits", "raggedRange", o.dtype), s = v(t10, "deltas", "raggedRange", o.dtype), a = { starts: o, limits: n, deltas: s }, i = T.runKernel(qp, a); return { rtNestedSplits: i[0], rtDenseValues: i[1] }; } -var mk = N({ raggedRange_: D4 }); -function F4(r, e, t10, o, n) { +var E2 = N({ raggedRange_: LK }); +function BK(r, e, t10, o, n) { let s = v(r, "shape", "raggedTensorToTensor", "int32"), a = v(e, "values", "raggedTensorToTensor"), i = v(t10, "defaultValue", "raggedTensorToTensor", a.dtype), p = o.map((l, m) => v(l, `tensors${m}`, "raggedTensorToTensor", "int32")), u = { shape: s, values: a, defaultValue: i, rowPartitionTensors: p }, c = { rowPartitionTypes: n }; - return T.runKernel(kp, u, c); + return T.runKernel(jp, u, c); } -var dk = N({ raggedTensorToTensor_: F4 }); -function O4(r, e, t10) { - bt(r); - let o = We(r), n = null; +var R2 = N({ raggedTensorToTensor_: BK }); +function zK(r, e, t10) { + Ct(r); + let o = Ue(r), n = null; if (t10 == null || t10 === "float32") n = new Float32Array(o); else if (t10 === "int32") @@ -6607,31 +6810,31 @@ function O4(r, e, t10) { n[s] = e(); return T.makeTensor(n, r, t10); } -var fk = N({ rand_: O4 }); -var wd = ap(gC()); -var Fk = {}; -Ge(Fk, { TEST_EPSILON_FLOAT16: () => Ak, createVideoElement: () => j4, encodeStrings: () => Dk, expectArrayBuffersEqual: () => q4, expectArraysClose: () => U4, expectArraysEqual: () => H4, expectNumbersClose: () => Rk, expectPromiseToFail: () => G4, expectValuesInRange: () => K4, play: () => X4, testEpsilon: () => bd }); -var W4 = 1e-3; -var Ak = 0.1; -function U4(r, e, t10) { - return t10 == null && (t10 = bd()), xC(r, e, (o, n) => yC(o, n, t10)); +var D2 = N({ rand_: zK }); +var Ld = Bp(Rw()); +var Z2 = {}; +He(Z2, { TEST_EPSILON_FLOAT16: () => X2, createVideoElement: () => JK, encodeStrings: () => Q2, expectArrayBuffersEqual: () => ZK, expectArraysClose: () => jK, expectArraysEqual: () => YK, expectNumbersClose: () => Y2, expectPromiseToFail: () => XK, expectValuesInRange: () => QK, play: () => eq, testEpsilon: () => Pd }); +var qK = 1e-3; +var X2 = 0.1; +function jK(r, e, t10) { + return t10 == null && (t10 = Pd()), Dw(r, e, (o, n) => Aw(o, n, t10)); } -function bd() { - return T.backend.floatPrecision() === 32 ? W4 : Ak; +function Pd() { + return T.backend.floatPrecision() === 32 ? qK : X2; } -function xC(r, e, t10) { +function Dw(r, e, t10) { let o = true; - if ((Bt(r) || Bt(e)) && (o = false), Bt(r) && Bt(e) && (o = true), o) { + if ((Pt(r) || Pt(e)) && (o = false), Pt(r) && Pt(e) && (o = true), o) { let a = r.constructor.name, i = e.constructor.name; if (a !== i) throw new Error(`Arrays are of different type. Actual: ${a}. Expected: ${i}`); } if (Array.isArray(r) && Array.isArray(e)) { - let a = or(r), i = or(e); - if (!Or(a, i)) + let a = ar(r), i = ar(e); + if (!br(a, i)) throw new Error(`Arrays have different shapes. Actual: [${a}]. Expected: [${i}]`); } - let n = Bt(r) ? r : os(r), s = Bt(e) ? e : os(e); + let n = Pt(r) ? r : Es(r), s = Pt(e) ? e : Es(e); if (n.length !== s.length) throw new Error(`Arrays have different lengths actual: ${n.length} vs expected: ${s.length}. Actual: ${n}. @@ -6645,27 +6848,27 @@ Expected: ${s}.`); } typeof expect != "undefined" && expect().nothing(); } -function G4(r, e) { +function XK(r, e) { r().then(() => e.fail(), () => e()), typeof expect != "undefined" && expect().nothing(); } -function H4(r, e) { +function YK(r, e) { let t10 = typeof e == "string" || typeof e == "number" || typeof e == "boolean" ? [e] : e; - return Oo(r) || Oo(r[0]) || Oo(e) || Oo(e[0]) ? xC(r, t10, (o, n) => o == n) : xC(r, e, (o, n) => yC(o, n, 0)); + return Bo(r) || Bo(r[0]) || Bo(e) || Bo(e[0]) ? Dw(r, t10, (o, n) => o == n) : Dw(r, e, (o, n) => Aw(o, n, 0)); } -function Rk(r, e, t10) { - if (t10 == null && (t10 = bd()), !yC(r, e, t10)) +function Y2(r, e, t10) { + if (t10 == null && (t10 = Pd()), !Aw(r, e, t10)) throw new Error(`Numbers differ: actual === ${r}, expected === ${e}`); typeof expect != "undefined" && expect().nothing(); } -function yC(r, e, t10) { +function Aw(r, e, t10) { return !isFinite(r) && !isFinite(e) ? true : !(isNaN(r) || isNaN(e) || Math.abs(r - e) > t10); } -function K4(r, e, t10) { +function QK(r, e, t10) { for (let o = 0; o < r.length; o++) if (r[o] < e || r[o] > t10) throw new Error(`Value out of range:${r[o]} low: ${e}, high: ${t10}`); } -function q4(r, e) { +function ZK(r, e) { let t10 = new Float32Array(r), o = new Float32Array(e); if (t10.length !== o.length) throw new Error(`Expected ArrayBuffer to be of length ${o.length}, but it was ${t10.length}`); @@ -6673,29 +6876,29 @@ function q4(r, e) { if (t10[n] !== o[n]) throw new Error(`Expected ArrayBuffer value at ${n} to be ${o[n]} but got ${t10[n]} instead`); } -function Dk(r) { +function Q2(r) { for (let e = 0; e < r.length; e++) { let t10 = r[e]; - Array.isArray(t10) ? Dk(t10) : r[e] = Ii(t10); + Array.isArray(t10) ? Q2(t10) : r[e] = Yi(t10); } return r; } -function j4(r) { +function JK(r) { let e = document.createElement("video"); return "playsInline" in e && (e.playsInline = true), e.muted = true, e.loop = true, e.style.position = "fixed", e.style.left = "0px", e.style.top = "0px", e.preload = "auto", e.appendChild(r), new Promise((t10) => { e.addEventListener("loadeddata", (o) => t10(e)), e.load(); }); } -async function X4(r) { +async function eq(r) { await r.play(), "requestVideoFrameCallback" in r && await new Promise((e) => { r.requestVideoFrameCallback(e); }); } -var mu = class { +var Gu = class { constructor(e, t10, o, n, s) { this.mean = e, this.stdDev = t10, this.dtype = o, this.nextVal = NaN, this.truncated = n, this.truncated && (this.upper = this.mean + this.stdDev * 2, this.lower = this.mean - this.stdDev * 2); let a = s || Math.random(); - this.random = wd.alea(a.toString()); + this.random = Ld.alea(a.toString()); } nextValue() { if (!isNaN(this.nextVal)) { @@ -6720,11 +6923,11 @@ var mu = class { return e <= this.upper && e >= this.lower; } }; -var Cd = class { +var Od = class { constructor(e, t10, o, n) { this.alpha = e, this.beta = 1 / t10, this.dtype = o; let s = n || Math.random(); - this.randu = wd.alea(s.toString()), this.randn = new mu(0, 1, o, false, this.randu()), e < 1 ? this.d = e + 2 / 3 : this.d = e - 1 / 3, this.c = 1 / Math.sqrt(9 * this.d); + this.randu = Ld.alea(s.toString()), this.randn = new Gu(0, 1, o, false, this.randu()), e < 1 ? this.d = e + 2 / 3 : this.d = e - 1 / 3, this.c = 1 / Math.sqrt(9 * this.d); } nextValue() { let e, t10, o, n, s, a; @@ -6741,11 +6944,11 @@ var Cd = class { return this.dtype === "float32" ? e : Math.round(e); } }; -var Sd = class { +var Md = class { constructor(e = 0, t10 = 1, o, n) { if (this.canReturnFloat = () => this.dtype == null || this.dtype === "float32", this.min = e, this.range = t10 - e, this.dtype = o, n == null && (n = Math.random()), typeof n == "number" && (n = n.toString()), !this.canReturnFloat() && this.range <= 1) throw new Error(`The difference between ${e} - ${t10} <= 1 and dtype is not float`); - this.random = wd.alea(n); + this.random = Ld.alea(n); } convertValue(e) { return this.canReturnFloat() ? e : Math.round(e); @@ -6754,412 +6957,316 @@ var Sd = class { return this.convertValue(this.min + this.range * this.random()); } }; -function Y4(r, e, t10 = 1, o = "float32", n) { - if (bt(r), t10 == null && (t10 = 1), o == null && (o = "float32"), o !== "float32" && o !== "int32") +function tq(r, e, t10 = 1, o = "float32", n) { + if (Ct(r), t10 == null && (t10 = 1), o == null && (o = "float32"), o !== "float32" && o !== "int32") throw new Error(`Unsupported data type ${o}`); - let s = new Cd(e, t10, o, n), a = le(r, o); + let s = new Od(e, t10, o, n), a = me(r, o); for (let i = 0; i < a.values.length; i++) a.values[i] = s.nextValue(); return a.toTensor(); } -var Ok = N({ randomGamma_: Y4 }); -function Q4(r, e = 0, t10 = 1, o, n) { - if (bt(r), o != null && o === "bool") +var J2 = N({ randomGamma_: tq }); +function rq(r, e = 0, t10 = 1, o, n) { + if (Ct(r), o != null && o === "bool") throw new Error(`Unsupported data type ${o}`); - let s = new mu(e, t10, o, false, n), a = le(r, o); + let s = new Gu(e, t10, o, false, n), a = me(r, o); for (let i = 0; i < a.values.length; i++) a.values[i] = s.nextValue(); return a.toTensor(); } -var Id = N({ randomNormal_: Q4 }); -function Z4(r, e, t10) { +var Bd = N({ randomNormal_: rq }); +function oq(r, e, t10) { if (e != null && e === "bool") throw new Error(`Unsupported data type ${e}`); - return Id(r, 0, 1, e, t10); + return Bd(r, 0, 1, e, t10); } -var Pk = N({ randomStandardNormal_: Z4 }); -function J4(r, e = 0, t10 = 1, o = "float32", n) { - bt(r); - let s = le(r, o), a = new Sd(e, t10, null, n); +var e1 = N({ randomStandardNormal_: oq }); +function nq(r, e = 0, t10 = 1, o = "float32", n) { + Ct(r); + let s = me(r, o), a = new Md(e, t10, null, n); for (let i = 0; i < s.values.length; i++) s.values[i] = a.nextValue(); return s.toTensor(); } -var vd = N({ randomUniform_: J4 }); -function Di(r, e, t10 = 1, o = "float32") { +var uc = N({ randomUniform_: nq }); +function sq(r, e, t10, o) { + return uc(r, e, t10, "int32", o); +} +var t1 = N({ randomUniformInt_: sq }); +function au(r, e, t10 = 1, o = "float32") { if (t10 === 0) throw new Error("Cannot have a step of zero"); let n = { start: r, stop: e, step: t10, dtype: o }; - return T.runKernel(Ts, {}, n); + return T.runKernel(aa, {}, n); } -function eG(r) { +function aq(r) { let t10 = { input: v(r, "input", "real") }; - return T.runKernel(di, t10); + return T.runKernel(zi, t10); } -var Fa = N({ real_: eG }); -function tG(r) { +var si = N({ real_: aq }); +function iq(r) { let t10 = { x: v(r, "x", "reciprocal") }; - return T.runKernel(Fn, t10); + return T.runKernel(ts, t10); } -var Mk = N({ reciprocal_: tG }); -function rG(r) { +var r1 = N({ reciprocal_: iq }); +function uq(r) { let t10 = { x: v(r, "x", "relu") }; - return T.runKernel(On, t10); + return T.runKernel(rs, t10); } -var Fi = N({ relu_: rG }); -function oG(r) { +var iu = N({ relu_: uq }); +function pq(r) { let t10 = { x: v(r, "x", "relu6") }; - return T.runKernel(Ln, t10); + return T.runKernel(ss, t10); } -var kd = N({ relu6_: oG }); -function nG(r, e) { +var zd = N({ relu6_: pq }); +function cq(r, e) { let o = { x: v(r, "x", "reverse") }, n = { dims: e }; - return T.runKernel(Bn, o, n); + return T.runKernel(as, o, n); } -var no = N({ reverse_: nG }); -function sG(r) { +var uo = N({ reverse_: cq }); +function lq(r) { let e = v(r, "x", "reverse"); - return $(e.rank === 1, () => `Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`), no(e, 0); + return $(e.rank === 1, () => `Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`), uo(e, 0); } -var Lk = N({ reverse1d_: sG }); -function aG(r, e) { +var o1 = N({ reverse1d_: lq }); +function mq(r, e) { let t10 = v(r, "x", "reverse"); - return $(t10.rank === 2, () => `Error in reverse2D: x must be rank 2 but got rank ${t10.rank}.`), no(t10, e); + return $(t10.rank === 2, () => `Error in reverse2D: x must be rank 2 but got rank ${t10.rank}.`), uo(t10, e); } -var Bk = N({ reverse2d_: aG }); -function iG(r, e) { +var n1 = N({ reverse2d_: mq }); +function dq(r, e) { let t10 = v(r, "x", "reverse"); - return $(t10.rank === 3, () => `Error in reverse3D: x must be rank 3 but got rank ${t10.rank}.`), no(t10, e); + return $(t10.rank === 3, () => `Error in reverse3D: x must be rank 3 but got rank ${t10.rank}.`), uo(t10, e); } -var Vk = N({ reverse3d_: iG }); -function uG(r, e) { +var s1 = N({ reverse3d_: dq }); +function fq(r, e) { let t10 = v(r, "x", "reverse"); - return $(t10.rank === 4, () => `Error in reverse4D: x must be rank 4 but got rank ${t10.rank}.`), no(t10, e); + return $(t10.rank === 4, () => `Error in reverse4D: x must be rank 4 but got rank ${t10.rank}.`), uo(t10, e); } -var zk = N({ reverse4d_: uG }); -function pG(r) { +var a1 = N({ reverse4d_: fq }); +function hq(r) { let t10 = { x: v(r, "x", "round") }; - return T.runKernel(Vn, t10); + return T.runKernel(is, t10); } -var Nd = N({ round_: pG }); -function cG(r) { +var Vd = N({ round_: hq }); +function gq(r) { let t10 = { x: v(r, "x", "rsqrt", "float32") }; - return T.runKernel(zn, t10); + return T.runKernel(us, t10); } -var Wk = N({ rsqrt_: cG }); -function lG(r) { +var i1 = N({ rsqrt_: gq }); +function xq(r) { let t10 = { x: v(r, "x", "selu") }; - return T.runKernel(Ca, t10); + return T.runKernel(ms, t10); } -var Uk = N({ selu_: lG }); -function mG(r, e, t10, o, n, s = [1, 1], a = "NHWC") { +var u1 = N({ selu_: xq }); +function yq(r, e, t10, o, n, s = [1, 1], a = "NHWC") { let i = v(r, "x", "separableConv2d"), p = v(e, "depthwiseFilter", "separableConv2d"), u = v(t10, "pointwiseFilter", "separableConv2d"), c = i, l = false; if (i.rank === 3 && (l = true, c = W(i, [1, i.shape[0], i.shape[1], i.shape[2]])), a === "NCHW") throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported"); $(c.rank === 4, () => `Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`), $(p.rank === 4, () => `Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`), $(u.rank === 4, () => `Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`), $(u.shape[0] === 1, () => `Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`), $(u.shape[1] === 1, () => `Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`); let m = p.shape[2], d = p.shape[3]; $(u.shape[2] === m * d, () => `Error in separableConv2d: the third dimension of pointwise filter must be ${m * d}, but got ${u.shape[2]}.`); - let f = Bp(c, p, o, n, a, s), g = Ei(f, u, 1, "valid", a); + let f = ac(c, p, o, n, a, s), g = ou(f, u, 1, "valid", a); return l ? W(g, [g.shape[1], g.shape[2], g.shape[3]]) : g; } -var Gk = N({ separableConv2d_: mG }); -async function dG(r, e) { +var p1 = N({ separableConv2d_: yq }); +async function bq(r, e) { let t10 = v(r, "x", "setdiff1d"), o = v(e, "y", "setdiff1d"); $(t10.dtype === o.dtype, () => `x and y should have the same dtype, but got x (${t10.dtype}) and y (${o.dtype}).`), $(t10.rank === 1, () => `x should be 1D tensor, but got x (${t10.shape}).`), $(o.rank === 1, () => `y should be 1D tensor, but got y (${o.shape}).`); let n = await t10.data(), s = await o.data(), a = new Set(s), i = 0; for (let c = 0; c < n.length; c++) a.has(n[c]) || i++; - let p = new st([i], t10.dtype), u = new st([i], "int32"); + let p = new tt([i], t10.dtype), u = new tt([i], "int32"); for (let c = 0, l = 0; c < n.length; c++) a.has(n[c]) || (p.values[l] = n[c], u.values[l] = c, l++); return [p.toTensor(), u.toTensor()]; } -var Hk = dG; -function fG(r) { +var c1 = bq; +function Cq(r) { let t10 = { x: v(r, "x", "sign") }; - return T.runKernel(wa, t10); + return T.runKernel(fs, t10); } -var Kk = N({ sign_: fG }); -function hG(r) { +var l1 = N({ sign_: Cq }); +function wq(r) { let t10 = { x: v(r, "x", "sin", "float32") }; - return T.runKernel(Un, t10); + return T.runKernel(ds, t10); } -var qk = N({ sin_: hG }); -function gG(r) { +var m1 = N({ sin_: wq }); +function Sq(r) { let t10 = { x: v(r, "x", "sinh") }; - return T.runKernel(Sa, t10); + return T.runKernel(ja, t10); } -var jk = N({ sinh_: gG }); -function xG(r, e, t10) { +var d1 = N({ sinh_: Sq }); +function Iq(r, e, t10) { let o = v(r, "x", "slice1d"); - return $(o.rank === 1, () => `slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`), Ke(o, [e], [t10]); + return $(o.rank === 1, () => `slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`), qe(o, [e], [t10]); } -var Xk = N({ slice1d_: xG }); -function yG(r, e, t10) { +var f1 = N({ slice1d_: Iq }); +function vq(r, e, t10) { let o = v(r, "x", "slice2d"); - return $(o.rank === 2, () => `slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`), Ke(o, e, t10); + return $(o.rank === 2, () => `slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`), qe(o, e, t10); } -var Yk = N({ slice2d_: yG }); -function bG(r, e, t10) { +var h1 = N({ slice2d_: vq }); +function kq(r, e, t10) { let o = v(r, "x", "slice3d"); - return $(o.rank === 3, () => `slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`), Ke(o, e, t10); + return $(o.rank === 3, () => `slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`), qe(o, e, t10); } -var Qk = N({ slice3d_: bG }); -function CG(r, e, t10) { +var g1 = N({ slice3d_: kq }); +function Nq(r, e, t10) { let o = v(r, "x", "slice4d"); - return $(o.rank === 4, () => `slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`), Ke(o, e, t10); + return $(o.rank === 4, () => `slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`), qe(o, e, t10); } -var Zk = N({ slice4d_: CG }); -function SG(r, e = -1) { +var x1 = N({ slice4d_: Nq }); +function Tq(r, e = -1) { let t10 = v(r, "logits", "softmax", "float32"); if (e === -1 && (e = t10.rank - 1), e !== t10.rank - 1) throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${t10.rank} and dim was ${e}`); let o = { logits: t10 }, n = { dim: e }; - return T.runKernel(qn, o, n); + return T.runKernel(bs, o, n); } -var Jk = N({ softmax_: SG }); -function wG(r) { +var y1 = N({ softmax_: Tq }); +function _q(r) { $(r.dtype === "complex64", () => `The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`); let e = { input: r }; - return T.runKernel(ui, e); + return T.runKernel(Pi, e); } -var zp = N({ fft_: wG }); -function IG(r) { +var pc = N({ fft_: _q }); +function $q(r) { $(r.dtype === "complex64", () => `The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`); let e = { input: r }; - return T.runKernel(pi, e); + return T.runKernel(Oi, e); } -var du = N({ ifft_: IG }); -function vG(r) { +var Hu = N({ ifft_: $q }); +function Eq(r) { let e = r.shape[r.shape.length - 1], t10 = r.size / e, o; if (e <= 2) { let n = W(r, [t10, e]); - o = du(n); + o = Hu(n); } else { - let n = [t10, 2 * (e - 1)], s = W(Fa(r), [t10, e]), a = W(Ri(r), [t10, e]), i = no(Ke(s, [0, 1], [t10, e - 2]), 1), p = ne(no(Ke(a, [0, 1], [t10, e - 2]), 1), Ce(-1)), u = xt([s, i], 1), c = xt([a, p], 1), l = W(Tr(u, c), [n[0], n[1]]); - o = du(l); + let n = [t10, 2 * (e - 1)], s = W(si(r), [t10, e]), a = W(su(r), [t10, e]), i = uo(qe(s, [0, 1], [t10, e - 2]), 1), p = se(uo(qe(a, [0, 1], [t10, e - 2]), 1), ke(-1)), u = yt([s, i], 1), c = yt([a, p], 1), l = W($r(u, c), [n[0], n[1]]); + o = Hu(l); } - if (o = Fa(o), r.rank === 3 && r.shape[0] !== 0) { + if (o = si(o), r.rank === 3 && r.shape[0] !== 0) { let n = o, s = r.shape[0]; o = W(o, [s, o.shape[0] / s, o.shape[1]]), n.dispose(); } return o; } -var Td = N({ irfft_: vG }); -function kG(r, e, t10 = 0) { +var Wd = N({ irfft_: Eq }); +function Rq(r, e, t10 = 0) { let n = { x: v(r, "x", "split") }, s = { numOrSizeSplits: e, axis: t10 }; - return T.runKernel(Rs, n, s); + return T.runKernel(la, n, s); } -var Oa = N({ split_: kG }); -function NG(r, e) { +var ai = N({ split_: Rq }); +function Dq(r, e) { $(r.dtype === "float32", () => `The dtype for rfft() must be real value but got ${r.dtype}`); let t10 = r.shape[r.shape.length - 1], o = r.size / t10, n; if (e != null && e < t10) { let f = r.shape.map((g) => 0), h = r.shape.map((g) => g); - h[r.shape.length - 1] = e, n = Ke(r, f, h), t10 = e; + h[r.shape.length - 1] = e, n = qe(r, f, h), t10 = e; } else if (e != null && e > t10) { let f = r.shape.map((h) => h); - f[r.shape.length - 1] = e - t10, n = xt([r, Br(f)], r.shape.length - 1), t10 = e; + f[r.shape.length - 1] = e - t10, n = yt([r, Wr(f)], r.shape.length - 1), t10 = e; } else n = r; - let s = Ut(n), a = W(Tr(n, s), [o, t10]), i = zp(a), p = Math.floor(t10 / 2) + 1, u = Fa(i), c = Ri(i), l = Oa(u, [p, t10 - p], u.shape.length - 1), m = Oa(c, [p, t10 - p], c.shape.length - 1), d = n.shape.slice(); - return d[n.shape.length - 1] = p, W(Tr(l[0], m[0]), d); + let s = Ht(n), a = W($r(n, s), [o, t10]), i = pc(a), p = Math.floor(t10 / 2) + 1, u = si(i), c = su(i), l = ai(u, [p, t10 - p], u.shape.length - 1), m = ai(c, [p, t10 - p], c.shape.length - 1), d = n.shape.slice(); + return d[n.shape.length - 1] = p, W($r(l[0], m[0]), d); } -var Wp = N({ rfft_: NG }); -function TG(r, e) { +var cc = N({ rfft_: Dq }); +function Aq(r, e) { let t10 = v(r, "a", "squaredDifference"), o = v(e, "b", "squaredDifference"); - [t10, o] = De(t10, o), Je(t10.shape, o.shape); + [t10, o] = Oe(t10, o), rt(t10.shape, o.shape); let n = { a: t10, b: o }, s = {}; - return T.runKernel(jn, n, s); + return T.runKernel(ws, n, s); } -var _d = N({ squaredDifference_: TG }); -function _G(r, e) { +var Ud = N({ squaredDifference_: Aq }); +function Fq(r, e) { let t10 = v(r, "x", "squeeze", "string_or_numeric"); - return W(t10, bb(t10.shape, e).newShape); + return W(t10, MC(t10.shape, e).newShape); } -var Up = N({ squeeze_: _G }); -function $G(r, e = 0) { - let t10 = _a(r, "tensors", "stack", "string_or_numeric"); +var lc = N({ squeeze_: Fq }); +function Pq(r, e = 0) { + let t10 = Ja(r, "tensors", "stack", "string_or_numeric"); $(t10.length >= 1, () => "Pass at least one tensor to tf.stack"), t10.length > 0 && $(e <= t10[0].rank, () => "Axis must be <= rank of the tensor"); let o = t10, n = { axis: e }; - return T.runKernel(Ns, o, n); + return T.runKernel(sa, o, n); } -var Sr = N({ stack_: $G }); -function EG(r, e = 0) { +var vr = N({ stack_: Pq }); +function Oq(r, e = 0) { let o = { x: v(r, "x", "step") }, n = { alpha: e }; - return T.runKernel(fo, o, n); + return T.runKernel(yo, o, n); } -var $d = N({ step_: EG }); -function AG(r, e, t10, o, n = 0, s = 0, a = 0, i = 0, p = 0) { +var Gd = N({ step_: Oq }); +function Mq(r, e, t10, o, n = 0, s = 0, a = 0, i = 0, p = 0) { let c = { x: v(r, "x", "stridedSlice", "string_or_numeric") }, l = { begin: e, end: t10, strides: o, beginMask: n, endMask: s, ellipsisMask: a, newAxisMask: i, shrinkAxisMask: p }; - return T.runKernel(Xn, c, l); + return T.runKernel(Ss, c, l); } -var e1 = N({ stridedSlice_: AG }); -function RG(r) { +var b1 = N({ stridedSlice_: Mq }); +function Lq(r) { let t10 = { x: v(r, "x", "tan", "float32") }; - return T.runKernel(Qn, t10); + return T.runKernel(vs, t10); } -var t1 = N({ tan_: RG }); -function dr(r, e) { - Jr(r); - let t10 = or(r, e); +var C1 = N({ tan_: Lq }); +function xr(r, e) { + oo(r); + let t10 = ar(r, e); if (t10.length !== 1) throw new Error("tensor1d() requires values to be a flat/TypedArray"); - return xr(r, null, t10, e); + return wr(r, null, t10, e); } -function Oi(r, e, t10) { - if (Jr(r), e != null && e.length !== 2) +function uu(r, e, t10) { + if (oo(r), e != null && e.length !== 2) throw new Error("tensor2d() requires shape to have two numbers"); - let o = or(r, t10); + let o = ar(r, t10); if (o.length !== 2 && o.length !== 1) throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray"); if (o.length === 1 && e == null) throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray"); - return xr(r, e, o, t10); + return wr(r, e, o, t10); } -function Ed(r, e, t10) { - if (Jr(r), e != null && e.length !== 3) +function Hd(r, e, t10) { + if (oo(r), e != null && e.length !== 3) throw new Error("tensor3d() requires shape to have three numbers"); - let o = or(r, t10); + let o = ar(r, t10); if (o.length !== 3 && o.length !== 1) throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray"); if (o.length === 1 && e == null) throw new Error("tensor3d() requires shape to be provided when `values` are a flat array"); - return xr(r, e, o, t10); + return wr(r, e, o, t10); } -function r1(r, e, t10) { - if (Jr(r), e != null && e.length !== 4) +function w1(r, e, t10) { + if (oo(r), e != null && e.length !== 4) throw new Error("tensor4d() requires shape to have four numbers"); - let o = or(r, t10); + let o = ar(r, t10); if (o.length !== 4 && o.length !== 1) throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray"); if (o.length === 1 && e == null) throw new Error("tensor4d() requires shape to be provided when `values` are a flat array"); - return xr(r, e, o, t10); + return wr(r, e, o, t10); } -function o1(r, e, t10) { - if (Jr(r), e != null && e.length !== 5) +function S1(r, e, t10) { + if (oo(r), e != null && e.length !== 5) throw new Error("tensor5d() requires shape to have five numbers"); - let o = or(r, t10); + let o = ar(r, t10); if (o.length !== 5 && o.length !== 1) throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray"); if (o.length === 1 && e == null) throw new Error("tensor5d() requires shape to be provided when `values` are a flat array"); - return xr(r, e, o, t10); + return wr(r, e, o, t10); } -function n1(r, e, t10) { - if (Jr(r), e != null && e.length !== 6) +function I1(r, e, t10) { + if (oo(r), e != null && e.length !== 6) throw new Error("tensor6d() requires shape to have six numbers"); - let o = or(r, t10); + let o = ar(r, t10); if (o.length !== 6 && o.length !== 1) throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray"); if (o.length === 1 && e == null) throw new Error("tensor6d() requires shape to be provided when `values` are a flat array"); - return e = e || o, xr(r, e, o, t10); + return e = e || o, wr(r, e, o, t10); } -function DG(r, e = 1, t10 = true) { - let o = v(r, "x", "topk"); - if (o.rank === 0) - throw new Error("topk() expects the input to be of rank 1 or higher"); - let n = o.shape[o.shape.length - 1]; - if (e < 0) - throw new Error(`'k' passed to topk() must be >= 0 but got ${e}`); - if (e > n) - throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`); - let s = { x: o }, a = { k: e, sorted: t10 }, [i, p] = T.runKernel(Jn, s, a); - return { values: i, indices: p }; -} -var s1 = N({ topk_: DG }); -function FG(r, e = 0, t10 = 1, o, n) { - if (bt(r), o != null && o === "bool") - throw new Error("Unsupported data type $ { dtype }"); - let s = new mu(e, t10, o, true, n), a = le(r, o); - for (let i = 0; i < a.values.length; i++) - a.values[i] = s.nextValue(); - return a.toTensor(); -} -var a1 = N({ truncatedNormal_: FG }); -function OG(r, e = 0) { - let t10 = v(r, "x", "unique", "string_or_numeric"); - $(t10.rank > 0, () => "The input tensor must be at least 1D"); - let o = { x: t10 }, n = { axis: e }, [s, a] = T.runKernel(Np, o, n); - return { values: s, indices: a }; -} -var i1 = N({ unique_: OG }); -function PG(r, e, t10) { - let o = v(r, "x", "unsortedSegmentSum"), n = v(e, "segmentIds", "unsortedSegmentSum", "int32"); - $(sa(t10), () => "numSegments must be of dtype int"); - let s = { x: o, segmentIds: n }, a = { numSegments: t10 }; - return T.runKernel(Tp, s, a); -} -var u1 = N({ unsortedSegmentSum_: PG }); -function MG(r, e = 0) { - let t10 = v(r, "x", "unstack", "string_or_numeric"); - $(e >= -t10.shape.length && e < t10.shape.length, () => `Axis = ${e} is not in [-${t10.shape.length}, ${t10.shape.length})`); - let o = { value: t10 }, n = { axis: e }; - return T.runKernel(Fs, o, n); -} -var so = N({ unstack_: MG }); -function p1(r, e) { - return ol(r, e, "right"); -} -function c1(r, e = true, t10, o) { - return T.makeVariable(r, e, t10, o); -} -function Ad(r, e) { - let t10 = []; - for (let s = 0; s < e.length; s++) - e[s] && t10.push(s); - let o = le(r, "int32"), n = le([t10.length, r.length], "int32"); - for (let s = 0; s < t10.length; s++) { - let a = o.indexToLoc(t10[s]), i = s * r.length; - n.values.set(a, i); - } - return n.toTensor(); -} -async function LG(r) { - let e = v(r, "condition", "whereAsync", "bool"), t10 = await e.data(), o = Ad(e.shape, t10); - return r !== e && e.dispose(), o; -} -var Rd = LG; -async function BG(r, e, t10) { - let o = v(r, "tensor", "boolMask"), n = v(e, "mask", "boolMask", "bool"), s = t10 == null ? 0 : t10, a = n.rank, i = o.shape; - $(a > 0, () => "mask cannot be scalar"), gt(i.slice(s, s + a), n.shape, "mask's shape must match the first K dimensions of tensor's shape,"); - let p = 1; - for (let h = s; h < s + a; h++) - p *= i[h]; - let u = i.slice(0, s).concat([p], i.slice(s + a)), c = W(o, u), l = W(n, [-1]), m = await Rd(l), d = Up(m, [1]), f = rd(c, d, s); - return r !== o && o.dispose(), e !== n && n.dispose(), d.dispose(), c.dispose(), l.dispose(), m.dispose(), f; -} -var VG = BG; -function zG(r, e, t10) { - let o = v(r, "x", "transpose"); - if (e == null && (e = o.shape.map((a, i) => i).reverse()), $(o.rank === e.length, () => `Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`), e.forEach((a) => { - $(a >= 0 && a < o.rank, () => `All entries in 'perm' must be between 0 and ${o.rank - 1} but got ${e}`); - }), o.rank <= 1) - return o.clone(); - let n = { x: o }, s = { perm: e }; - return o.dtype === "complex64" ? Ee(() => { - let a = Fa(o), i = Ri(o); - return a = T.runKernel(ro, { x: a }, s), i = T.runKernel(ro, { x: i }, s), t10 && (i = Cr(i)), Tr(a, i); - }) : T.runKernel(ro, n, s); -} -var Gp = N({ transpose_: zG }); -function WG(r, e, t10, o, n = true) { - let s = v(r, "v", "movingAverage"), a = v(e, "x", "movingAverage"), i = v(t10, "decay", "movingAverage"); - Ub(s, a), $(Or(s.shape, a.shape), () => "Shape mismatch in v and x"); - let p = Ce(1), u = ke(p, i), c = ne(ke(a, s), u); - if (n) { - $(o != null, () => "When using zeroDebias: true, step is required."); - let l = v(o, "step", "movingAverage"); - c = He(c, ke(p, Aa(i, l))); - } - return be(s, c); -} -var UG = N({ movingAverage_: WG }); -var sl = {}; -Ge(sl, { calculateShapes: () => l1, validateInput: () => Dd, validateUpdateShape: () => bC }); -function bC(r, e, t10) { +var pu = {}; +He(pu, { calculateShapes: () => v1, validateInput: () => mc, validateUpdateShape: () => Fw }); +function Fw(r, e, t10) { let o = e.rank > 1 ? e.shape[e.rank - 1] : 1, n = e.rank > 1 ? e.rank - 1 : 1, s = `Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${t10.shape}, indices.shape: ${e.shape}, shape: ${r}, sliceDim: ${o}, and batchDim: ${n}.`; if (t10.rank < n) throw new Error(s + ` update.rank < ${n}. `); @@ -7174,7 +7281,7 @@ function bC(r, e, t10) { if (t10.shape[a + n] !== r[a + o]) throw new Error(s + ` updates.shape[${a + n}] (${t10.shape[a + n]}) != shape[${a + n}] (${r[a + n]})`); } -function Dd(r, e, t10) { +function mc(r, e, t10) { if (e.rank < 1) throw new Error(`tf.scatterND() expects the indices to be rank 1 or higher, but the rank was ${e.rank}.`); if (r.rank < 1) @@ -7189,24 +7296,132 @@ function Dd(r, e, t10) { if (r.size === 0) throw new Error(`Updates specified for empty output. updates shape: ${r.shape}`); } - bC(t10, e, r); + Fw(t10, e, r); } -function l1(r, e, t10) { +function v1(r, e, t10) { let o = e.shape.length, n = o > 1 ? e.shape[o - 1] : 1, s = t10.length, a = 1; for (let l = n; l < s; ++l) a *= t10[l]; - let i = n < 1 ? 1 : n, p = We(e.shape) / i, u = [...xs(t10.slice(0, n)), 1], c = We(t10); + let i = n < 1 ? 1 : n, p = Ue(e.shape) / i, u = [...Us(t10.slice(0, n)), 1], c = Ue(t10); return { sliceRank: n, numUpdates: p, sliceSize: a, strides: u, outputSize: c }; } -function GG(r, e, t10) { - bt(t10); - let o = v(r, "indices", "scatterND", "int32"), n = v(e, "updates", "scatterND"); - Dd(n, o, t10); - let s = { indices: o, updates: n }, a = { shape: t10 }; - return T.runKernel(Wn, s, a); +function Bq(r, e, t10) { + let o = v(r, "tensor", "tensorScatterupdate"), n = v(e, "indices", "tensorScatterupdate", "int32"), s = v(t10, "updates", "tensorScatterupdate"); + if (mc(s, n, o.shape), o.dtype !== s.dtype) + throw new Error(`tensor and updates must have the same dtype, instead they are ${o.dtype} and ${s.dtype}.`); + let a = { tensor: o, indices: n, updates: s }, i = {}; + return T.runKernel(cs, a, i); } -var HG = N({ scatterND_: GG }); -function m1(r, e, t10, o) { +var k1 = N({ tensorScatterUpdate_: Bq }); +function zq(r, e = 1, t10 = true) { + let o = v(r, "x", "topk"); + if (o.rank === 0) + throw new Error("topk() expects the input to be of rank 1 or higher"); + let n = o.shape[o.shape.length - 1]; + if (e < 0) + throw new Error(`'k' passed to topk() must be >= 0 but got ${e}`); + if (e > n) + throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`); + let s = { x: o }, a = { k: e, sorted: t10 }, [i, p] = T.runKernel(Ns, s, a); + return { values: i, indices: p }; +} +var N1 = N({ topk_: zq }); +function Vq(r, e = 0, t10 = 1, o, n) { + if (Ct(r), o != null && o === "bool") + throw new Error("Unsupported data type $ { dtype }"); + let s = new Gu(e, t10, o, true, n), a = me(r, o); + for (let i = 0; i < a.values.length; i++) + a.values[i] = s.nextValue(); + return a.toTensor(); +} +var T1 = N({ truncatedNormal_: Vq }); +function Wq(r, e = 0) { + let t10 = v(r, "x", "unique", "string_or_numeric"); + $(t10.rank > 0, () => "The input tensor must be at least 1D"); + let o = { x: t10 }, n = { axis: e }, [s, a] = T.runKernel(qi, o, n); + return { values: s, indices: a }; +} +var _1 = N({ unique_: Wq }); +function Uq(r, e, t10) { + let o = v(r, "x", "unsortedSegmentSum"), n = v(e, "segmentIds", "unsortedSegmentSum", "int32"); + $(Ba(t10), () => "numSegments must be of dtype int"); + let s = { x: o, segmentIds: n }, a = { numSegments: t10 }; + return T.runKernel(ji, s, a); +} +var $1 = N({ unsortedSegmentSum_: Uq }); +function Gq(r, e = 0) { + let t10 = v(r, "x", "unstack", "string_or_numeric"); + $(e >= -t10.shape.length && e < t10.shape.length, () => `Axis = ${e} is not in [-${t10.shape.length}, ${t10.shape.length})`); + let o = { value: t10 }, n = { axis: e }; + return T.runKernel(da, o, n); +} +var po = N({ unstack_: Gq }); +function E1(r, e) { + return Nl(r, e, "right"); +} +function R1(r, e = true, t10, o) { + return T.makeVariable(r, e, t10, o); +} +function Kd(r, e) { + let t10 = []; + for (let s = 0; s < e.length; s++) + e[s] && t10.push(s); + let o = me(r, "int32"), n = me([t10.length, r.length], "int32"); + for (let s = 0; s < t10.length; s++) { + let a = o.indexToLoc(t10[s]), i = s * r.length; + n.values.set(a, i); + } + return n.toTensor(); +} +async function Hq(r) { + let e = v(r, "condition", "whereAsync", "bool"), t10 = await e.data(), o = Kd(e.shape, t10); + return r !== e && e.dispose(), o; +} +var qd = Hq; +async function Kq(r, e, t10) { + let o = v(r, "tensor", "boolMask"), n = v(e, "mask", "boolMask", "bool"), s = t10 == null ? 0 : t10, a = n.rank, i = o.shape; + $(a > 0, () => "mask cannot be scalar"), xt(i.slice(s, s + a), n.shape, "mask's shape must match the first K dimensions of tensor's shape,"); + let p = 1; + for (let h = s; h < s + a; h++) + p *= i[h]; + let u = i.slice(0, s).concat([p], i.slice(s + a)), c = W(o, u), l = W(n, [-1]), m = await qd(l), d = lc(m, [1]), f = bd(c, d, s); + return r !== o && o.dispose(), e !== n && n.dispose(), d.dispose(), c.dispose(), l.dispose(), m.dispose(), f; +} +var qq = Kq; +function jq(r, e, t10) { + let o = v(r, "x", "transpose"); + if (e == null && (e = o.shape.map((a, i) => i).reverse()), $(o.rank === e.length, () => `Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`), e.forEach((a) => { + $(a >= 0 && a < o.rank, () => `All entries in 'perm' must be between 0 and ${o.rank - 1} but got ${e}`); + }), o.rank <= 1) + return o.clone(); + let n = { x: o }, s = { perm: e }; + return o.dtype === "complex64" ? De(() => { + let a = si(o), i = su(o); + return a = T.runKernel(ao, { x: a }, s), i = T.runKernel(ao, { x: i }, s), t10 && (i = pr(i)), $r(a, i); + }) : T.runKernel(ao, n, s); +} +var dc = N({ transpose_: jq }); +function Xq(r, e, t10, o, n = true) { + let s = v(r, "v", "movingAverage"), a = v(e, "x", "movingAverage"), i = v(t10, "decay", "movingAverage"); + nw(s, a), $(br(s.shape, a.shape), () => "Shape mismatch in v and x"); + let p = ke(1), u = Te(p, i), c = se(Te(a, s), u); + if (n) { + $(o != null, () => "When using zeroDebias: true, step is required."); + let l = v(o, "step", "movingAverage"); + c = Ke(c, Te(p, ri(i, l))); + } + return be(s, c); +} +var Yq = N({ movingAverage_: Xq }); +function Qq(r, e, t10) { + Ct(t10); + let o = v(r, "indices", "scatterND", "int32"), n = v(e, "updates", "scatterND"); + mc(n, o, t10); + let s = { indices: o, updates: n }, a = { shape: t10 }; + return T.runKernel(ps, s, a); +} +var Zq = N({ scatterND_: Qq }); +function D1(r, e, t10, o) { if (r.dtype !== "int32") throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`); if (r.rank > 2) @@ -7220,23 +7435,23 @@ function m1(r, e, t10, o) { if (e.dtype !== o.dtype) throw new Error("sparseValues.dtype must match defaultValues.dtype"); } -function qG(r, e, t10, o = 0) { - bt(t10); +function e6(r, e, t10, o = 0) { + Ct(t10); let n = v(r, "sparseIndices", "sparseToDense", "int32"), s = v(e, "sparseValues", "sparseToDense", "string_or_numeric"), a = v(o, "defaultValue", "sparseToDense", s.dtype); - m1(n, s, t10, a); + D1(n, s, t10, a); let i = { sparseIndices: n, sparseValues: s, defaultValue: a }, p = { outputShape: t10 }; - return T.runKernel(yi, i, p); + return T.runKernel(Cs, i, p); } -var jG = N({ sparseToDense_: qG }); -function XG(r, e) { +var t6 = N({ sparseToDense_: e6 }); +function r6(r, e) { let t10 = v(e, "indices", "gatherND", "int32"), n = { params: v(r, "x", "gatherND", "string_or_numeric"), indices: t10 }; - return T.runKernel(an, n); + return T.runKernel(Sn, n); } -var YG = N({ gatherND_: XG }); -function d1(r, e) { +var o6 = N({ gatherND_: r6 }); +function A1(r, e) { if (e == null) return r.shape.slice(); - if (Or(r.shape, e)) + if (br(r.shape, e)) return e; if (r.shape.length === e.length) { let t10 = []; @@ -7246,31 +7461,31 @@ function d1(r, e) { } return e; } -function QG(r, e, t10, o) { +function n6(r, e, t10, o) { let n = v(r, "x", "dropout"); if ($(n.dtype === "float32", () => `x has to be a floating point tensor since it's going to be scaled, but got a ${n.dtype} tensor instead.`), $(e >= 0 && e < 1, () => `rate must be a float in the range [0, 1), but got ${e}.`), e === 0) - return r instanceof it ? n.clone() : n; - let s = d1(n, t10), a = 1 - e, i = He(td(be(vd(s, 0, 1, "float32", o), a)), a); - return ne(n, i); + return r instanceof pt ? n.clone() : n; + let s = A1(n, t10), a = 1 - e, i = Ke(yd(be(uc(s, 0, 1, "float32", o), a)), a); + return se(n, i); } -var ZG = N({ dropout_: QG }); -function CC(r) { +var s6 = N({ dropout_: n6 }); +function Pw(r) { return Math.floor(Math.pow(2, Math.ceil(Math.log(r) / Math.log(2)))); } -function al(r, e, t10) { +function _l(r, e, t10) { let o = 1 - r % 2, n = new Float32Array(r); for (let s = 0; s < r; ++s) { let a = 2 * Math.PI * s / (r + o - 1); n[s] = e - t10 * Math.cos(a); } - return dr(n, "float32"); + return xr(n, "float32"); } -async function JG(r, e, t10 = 1) { +async function a6(r, e, t10 = 1) { let o = v(r, "predictions", "inTopK"), n = v(e, "targets", "inTopK"); - $(o.rank > 1, () => `inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`), $(o.rank - 1 === n.rank, () => `predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`), gt(o.shape.slice(0, o.shape.length - 1), n.shape, "predictions's shape should be align with the targets' shape, except the last dimension."); + $(o.rank > 1, () => `inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`), $(o.rank - 1 === n.rank, () => `predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`), xt(o.shape.slice(0, o.shape.length - 1), n.shape, "predictions's shape should be align with the targets' shape, except the last dimension."); let s = o.shape[o.shape.length - 1]; $(t10 > 0 && t10 <= s, () => `'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${t10}`); - let a = await o.data(), i = await n.data(), [p, u] = [a.length / s, s], c = Cb("bool", p); + let a = await o.data(), i = await n.data(), [p, u] = [a.length / s, s], c = LC("bool", p); for (let l = 0; l < p; l++) { let m = l * u, d = a.subarray(m, m + u), f = []; for (let h = 0; h < d.length; h++) @@ -7282,63 +7497,63 @@ async function JG(r, e, t10 = 1) { break; } } - return r !== o && o.dispose(), e !== n && n.dispose(), nr(c, n.shape, "bool"); + return r !== o && o.dispose(), e !== n && n.dispose(), ir(c, n.shape, "bool"); } -var eH = JG; -var SC = {}; -Ge(SC, { conv2d: () => h1, depthwiseConv2d: () => y1, matMul: () => b1 }); -function tH(r, e, t10, o, n, s = "NHWC", a) { +var i6 = a6; +var Ow = {}; +He(Ow, { conv2d: () => P1, depthwiseConv2d: () => L1, matMul: () => B1 }); +function u6(r, e, t10, o, n, s = "NHWC", a) { let i = r; r.rank === 3 && (i = W(r, [1, r.shape[0], r.shape[1], r.shape[2]])); let p = e; p.rank === 3 && (p = W(e, [1, e.shape[0], e.shape[1], e.shape[2]])), $(i.rank === 4, () => `Error in conv2dDerFilter: input must be rank 4, but got shape ${i.shape}.`), $(p.rank === 4, () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ${p.shape}.`), $(t10.length === 4, () => `Error in conv2dDerFilter: filterShape must be length 4, but got ${t10}.`); let u = s === "NHWC" ? i.shape[3] : i.shape[1], c = s === "NHWC" ? p.shape[3] : p.shape[1]; - $(u === t10[2], () => `Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t10[2]}.`), $(c === t10[3], () => `Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t10[3]}).`), Mt("conv2dDerFilter", n, a); + $(u === t10[2], () => `Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t10[2]}.`), $(c === t10[3], () => `Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t10[3]}).`), Lt("conv2dDerFilter", n, a); let l = { x: i, dy: p }, m = { strides: o, pad: n, dataFormat: s, dimRoundingMode: a, filterShape: t10 }; - return T.runKernel(oi, l, m); + return T.runKernel($i, l, m); } -var f1 = N({ conv2DBackpropFilter_: tH }); -function fu(r, e, t10) { +var F1 = N({ conv2DBackpropFilter_: u6 }); +function Ku(r, e, t10) { if (t10 == null || t10 === "linear") return r; if (t10 === "relu") - return ne(r, $d(e)); + return se(r, Gd(e)); throw new Error(`Cannot compute gradient for fused activation ${t10}.`); } -function hu(r, e) { - let t10 = e, o = Qm(r.shape, e.shape); - return o.length > 0 && (t10 = et(t10, o)), W(t10, r.shape); +function qu(r, e) { + let t10 = e, o = fd(r.shape, e.shape); + return o.length > 0 && (t10 = ot(t10, o)), W(t10, r.shape); } -function gu(r, e, t10, o) { +function ju(r, e, t10, o) { if (e === "linear") return r; if (e === "relu") - return Fi(r); + return iu(r); if (e === "elu") - return Jm(r); + return gd(r); if (e === "relu6") - return kd(r); + return zd(r); if (e === "prelu") - return xd(r, t10); + return Ad(r, t10); if (e === "leakyrelu") - return nd(r, o); + return wd(r, o); if (e === "sigmoid") - return Ws(r); + return wa(r); throw new Error(`Unknown fused activation ${e}.`); } -var xu = (r, e) => !(r > 0) || e === "linear"; -function rH({ x: r, filter: e, strides: t10, pad: o, dataFormat: n = "NHWC", dilations: s = [1, 1], dimRoundingMode: a, bias: i, activation: p = "linear", preluActivationWeights: u, leakyreluAlpha: c }) { - if (p = p || "linear", xu(T.state.gradientDepth, p) === false) { +var Xu = (r, e) => !(r > 0) || e === "linear"; +function p6({ x: r, filter: e, strides: t10, pad: o, dataFormat: n = "NHWC", dilations: s = [1, 1], dimRoundingMode: a, bias: i, activation: p = "linear", preluActivationWeights: u, leakyreluAlpha: c }) { + if (p = p || "linear", Xu(T.state.gradientDepth, p) === false) { $(n === "NHWC", () => `Error in fused conv2d: got dataFormat of ${n} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`); - let _ = Ei(r, e, t10, o, n, s, a); - return i != null && (_ = be(_, i)), gu(_, p, u, c); + let _ = ou(r, e, t10, o, n, s, a); + return i != null && (_ = be(_, i)), ju(_, p, u, c); } let l = v(r, "x", "conv2d", "float32"), m = v(e, "filter", "conv2d", "float32"), d = l, f = false; - l.rank === 3 && (f = true, d = W(l, [1, l.shape[0], l.shape[1], l.shape[2]])), $(d.rank === 4, () => `Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`), $(m.rank === 4, () => `Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`), Mt("fused conv2d", o, a); + l.rank === 3 && (f = true, d = W(l, [1, l.shape[0], l.shape[1], l.shape[2]])), $(d.rank === 4, () => `Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`), $(m.rank === 4, () => `Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`), Lt("fused conv2d", o, a); let h = n === "NHWC" ? d.shape[3] : d.shape[1]; - $(m.shape[2] === h, () => `Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`), $(mr(t10, s), () => `Error in conv2D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`); - let g = au(d.shape, m.shape, t10, s, o, a), x; - i != null && (x = v(i, "bias", "fused conv2d"), [x] = De(x, l), n === "NHWC" ? Je(g.outShape, x.shape) : ($(x.shape.length <= 1, () => `Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`), $(x.shape.length === 0 || x.shape[0] === g.outChannels || x.shape[0] === 1, () => `Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`))); + $(m.shape[2] === h, () => `Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`), $(gr(t10, s), () => `Error in conv2D: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`); + let g = Mu(d.shape, m.shape, t10, s, o, a), x; + i != null && (x = v(i, "bias", "fused conv2d"), [x] = Oe(x, l), n === "NHWC" ? rt(g.outShape, x.shape) : ($(x.shape.length <= 1, () => `Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`), $(x.shape.length === 0 || x.shape[0] === g.outChannels || x.shape[0] === 1, () => `Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`))); let b; if (u != null) { let _ = u.shape; @@ -7346,185 +7561,185 @@ function rH({ x: r, filter: e, strides: t10, pad: o, dataFormat: n = "NHWC", dil $(_[0] === 1 || _[0] === g.outChannels, () => `Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`); else if (_.length === 3) try { - Je(_, g.outShape); + rt(_, g.outShape); } catch (E) { - let A = `Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`; - throw Error(A); + let R = `Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`; + throw Error(R); } b = v(u, "prelu weights", "fused conv2d"); } - let C = (_, E) => { + let w = (_, E) => { $(n === "NHWC", () => `Error in gradient of fused conv2D: got dataFormat of ${n} but only NHWC is currently supported.`); - let [A, R, D, P] = E, M = fu(_, D, p); - $(su(s), () => `Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`); - let L = Ym(R.shape, M, A, t10, o), V = f1(R, M, A.shape, t10, o), z = [L, V]; - if (P != null) { - let U = hu(P, M); + let [R, D, F, O] = E, M = Ku(_, F, p); + $(Ou(s), () => `Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`); + let L = dd(D.shape, M, R, t10, o), B = F1(D, M, R.shape, t10, o), z = [L, B]; + if (O != null) { + let U = qu(O, M); z.push(U); } return z; - }, w = { x: d, filter: m, bias: x, preluActivationWeights: b }, k = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a, activation: p, leakyreluAlpha: c }; - return i == null ? br((E, A, R) => { - let D = T.runKernel(go, w, k); - return R([A, E, D]), f && (D = W(D, [D.shape[1], D.shape[2], D.shape[3]])), { value: D, gradFunc: C }; - })(d, m) : br((E, A, R, D) => { - let P = T.runKernel(go, w, k); - return D([A, E, P, R]), f && (P = W(P, [P.shape[1], P.shape[2], P.shape[3]])), { value: P, gradFunc: C }; + }, S = { x: d, filter: m, bias: x, preluActivationWeights: b }, k = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a, activation: p, leakyreluAlpha: c }; + return i == null ? Ir((E, R, D) => { + let F = T.runKernel(Co, S, k); + return D([R, E, F]), f && (F = W(F, [F.shape[1], F.shape[2], F.shape[3]])), { value: F, gradFunc: w }; + })(d, m) : Ir((E, R, D, F) => { + let O = T.runKernel(Co, S, k); + return F([R, E, O, D]), f && (O = W(O, [O.shape[1], O.shape[2], O.shape[3]])), { value: O, gradFunc: w }; })(d, m, x); } -var h1 = N({ fusedConv2d_: rH }); -function oH(r, e, t10, o, n, s = [1, 1], a) { +var P1 = N({ fusedConv2d_: p6 }); +function c6(r, e, t10, o, n, s = [1, 1], a) { let i = r; r.rank === 3 && (i = W(r, [1, r.shape[0], r.shape[1], r.shape[2]])); let p = e; p.rank === 3 && (p = W(e, [1, e.shape[0], e.shape[1], e.shape[2]])); let u = { x: i, dy: p }, c = { strides: o, pad: n, dimRoundingMode: a, dilations: s, filterShape: t10 }; - return T.runKernel(yp, u, c); + return T.runKernel(Ei, u, c); } -var g1 = N({ depthwiseConv2dNativeBackpropFilter_: oH }); -function nH(r, e, t10, o, n, s = [1, 1], a) { +var O1 = N({ depthwiseConv2dNativeBackpropFilter_: c6 }); +function l6(r, e, t10, o, n, s = [1, 1], a) { let i = e, p = false; e.rank === 3 && (p = true, i = W(e, [1, e.shape[0], e.shape[1], e.shape[2]])); - let u = { dy: i, filter: t10 }, c = { strides: o, pad: n, dimRoundingMode: a, dilations: s, inputShape: r }, l = T.runKernel(bp, u, c); + let u = { dy: i, filter: t10 }, c = { strides: o, pad: n, dimRoundingMode: a, dilations: s, inputShape: r }, l = T.runKernel(Ri, u, c); return p ? W(l, [l.shape[1], l.shape[2], l.shape[3]]) : l; } -var x1 = N({ depthwiseConv2dNativeBackpropInput_: nH }); -function sH({ x: r, filter: e, strides: t10, pad: o, dataFormat: n = "NHWC", dilations: s = [1, 1], dimRoundingMode: a, bias: i, activation: p = "linear", preluActivationWeights: u, leakyreluAlpha: c }) { - if (xu(T.state.gradientDepth, p) === false) { - let k = Bp(r, e, t10, o, n, s, a); - return i != null && (k = be(k, i)), gu(k, p, u, c); +var M1 = N({ depthwiseConv2dNativeBackpropInput_: l6 }); +function m6({ x: r, filter: e, strides: t10, pad: o, dataFormat: n = "NHWC", dilations: s = [1, 1], dimRoundingMode: a, bias: i, activation: p = "linear", preluActivationWeights: u, leakyreluAlpha: c }) { + if (Xu(T.state.gradientDepth, p) === false) { + let k = ac(r, e, t10, o, n, s, a); + return i != null && (k = be(k, i)), ju(k, p, u, c); } let l = v(r, "x", "depthwiseConv2d", "float32"), m = v(e, "filter", "depthwiseConv2d", "float32"), d = l, f = false; - l.rank === 3 && (f = true, d = W(l, [1, l.shape[0], l.shape[1], l.shape[2]])), $(d.rank === 4, () => `Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`), $(m.rank === 4, () => `Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`), $(d.shape[3] === m.shape[2], () => `Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`), s == null && (s = [1, 1]), $(mr(t10, s), () => `Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), Mt("fused depthwiseConv2d", o, a); - let h = au(d.shape, m.shape, t10, s, o, a, true), g; - i != null && (g = v(i, "bias", "fused conv2d"), [g] = De(g, l), Je(h.outShape, g.shape)); + l.rank === 3 && (f = true, d = W(l, [1, l.shape[0], l.shape[1], l.shape[2]])), $(d.rank === 4, () => `Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`), $(m.rank === 4, () => `Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`), $(d.shape[3] === m.shape[2], () => `Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`), s == null && (s = [1, 1]), $(gr(t10, s), () => `Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t10} and dilations '${s}'`), Lt("fused depthwiseConv2d", o, a); + let h = Mu(d.shape, m.shape, t10, s, o, a, true), g; + i != null && (g = v(i, "bias", "fused conv2d"), [g] = Oe(g, l), rt(h.outShape, g.shape)); let x; u != null && (x = v(u, "prelu weights", "fused depthwiseConv2d")); let b = (k, _) => { - $(su(s), () => `Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`); - let [E, A, R, D] = _, P = fu(k, R, p), M = x1(A.shape, P, E, t10, o, s, a), L = g1(A, P, E.shape, t10, o, s, a); - if (D != null) { - let V = hu(g, P); - return [M, L, V]; + $(Ou(s), () => `Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`); + let [E, R, D, F] = _, O = Ku(k, D, p), M = M1(R.shape, O, E, t10, o, s, a), L = O1(R, O, E.shape, t10, o, s, a); + if (F != null) { + let B = qu(g, O); + return [M, L, B]; } return [M, L]; - }, C = { x: d, filter: m, bias: g, preluActivationWeights: x }, w = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a, activation: p, leakyreluAlpha: c }; - return i == null ? br((_, E, A) => { - let R = T.runKernel(xo, C, w); - return A([E, _, R]), f && (R = W(R, [R.shape[1], R.shape[2], R.shape[3]])), { value: R, gradFunc: b }; - })(d, m) : br((_, E, A, R) => { - let D = T.runKernel(xo, C, w); - return R([E, _, D, A]), f && (D = W(D, [D.shape[1], D.shape[2], D.shape[3]])), { value: D, gradFunc: b }; + }, w = { x: d, filter: m, bias: g, preluActivationWeights: x }, S = { strides: t10, pad: o, dataFormat: n, dilations: s, dimRoundingMode: a, activation: p, leakyreluAlpha: c }; + return i == null ? Ir((_, E, R) => { + let D = T.runKernel(wo, w, S); + return R([E, _, D]), f && (D = W(D, [D.shape[1], D.shape[2], D.shape[3]])), { value: D, gradFunc: b }; + })(d, m) : Ir((_, E, R, D) => { + let F = T.runKernel(wo, w, S); + return D([E, _, F, R]), f && (F = W(F, [F.shape[1], F.shape[2], F.shape[3]])), { value: F, gradFunc: b }; })(d, m, g); } -var y1 = N({ fusedDepthwiseConv2d_: sH }); -function aH({ a: r, b: e, transposeA: t10 = false, transposeB: o = false, bias: n, activation: s = "linear", preluActivationWeights: a, leakyreluAlpha: i = 0.2 }) { - if (xu(T.state.gradientDepth, s) === false) { - let P = Xe(r, e, t10, o); - return n != null && (P = be(P, n)), gu(P, s, a, i); +var L1 = N({ fusedDepthwiseConv2d_: m6 }); +function d6({ a: r, b: e, transposeA: t10 = false, transposeB: o = false, bias: n, activation: s = "linear", preluActivationWeights: a, leakyreluAlpha: i = 0.2 }) { + if (Xu(T.state.gradientDepth, s) === false) { + let O = Qe(r, e, t10, o); + return n != null && (O = be(O, n)), ju(O, s, a, i); } let p = v(r, "a", "fused matMul"), u = v(e, "b", "fused matMul"); - [p, u] = De(p, u); - let c = t10 ? p.shape[p.rank - 2] : p.shape[p.rank - 1], l = o ? u.shape[u.rank - 1] : u.shape[u.rank - 2], m = t10 ? p.shape[p.rank - 1] : p.shape[p.rank - 2], d = o ? u.shape[u.rank - 2] : u.shape[u.rank - 1], f = p.shape.slice(0, -2), h = u.shape.slice(0, -2), g = We(f), x = We(h); + [p, u] = Oe(p, u); + let c = t10 ? p.shape[p.rank - 2] : p.shape[p.rank - 1], l = o ? u.shape[u.rank - 1] : u.shape[u.rank - 2], m = t10 ? p.shape[p.rank - 1] : p.shape[p.rank - 2], d = o ? u.shape[u.rank - 2] : u.shape[u.rank - 1], f = p.shape.slice(0, -2), h = u.shape.slice(0, -2), g = Ue(f), x = Ue(h); $(c === l, () => `Error in fused matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${p.shape} and ${u.shape} and transposeA=${t10} and transposeB=${o} must match.`); - let C = Je(p.shape.slice(0, -2), u.shape.slice(0, -2)).concat([m, d]), w = t10 ? W(p, [g, c, m]) : W(p, [g, m, c]), k = o ? W(u, [x, d, l]) : W(u, [x, l, d]), _; - n != null && (_ = v(n, "bias", "fused matMul"), [_] = De(_, p), Je(C, _.shape)); + let w = rt(p.shape.slice(0, -2), u.shape.slice(0, -2)).concat([m, d]), S = t10 ? W(p, [g, c, m]) : W(p, [g, m, c]), k = o ? W(u, [x, d, l]) : W(u, [x, l, d]), _; + n != null && (_ = v(n, "bias", "fused matMul"), [_] = Oe(_, p), rt(w, _.shape)); let E; a != null && (E = v(a, "prelu weights", "fused matMul")); - let A = (P, M) => { - let [L, V, z, U] = M, K = fu(W(P, z.shape), z, s), H, q; - if (!t10 && !o ? (H = Xe(K, V, false, true), q = Xe(L, K, true, false)) : !t10 && o ? (H = Xe(K, V, false, false), q = Xe(K, L, true, false)) : t10 && !o ? (H = Xe(V, K, false, true), q = Xe(L, K, false, false)) : (H = Xe(V, K, true, true), q = Xe(K, L, true, true)), n != null) { - let Z = hu(U, K); - return [H, q, Z]; + let R = (O, M) => { + let [L, B, z, U] = M, j = Ku(W(O, z.shape), z, s), H, X; + if (!t10 && !o ? (H = Qe(j, B, false, true), X = Qe(L, j, true, false)) : !t10 && o ? (H = Qe(j, B, false, false), X = Qe(j, L, true, false)) : t10 && !o ? (H = Qe(B, j, false, true), X = Qe(L, j, false, false)) : (H = Qe(B, j, true, true), X = Qe(j, L, true, true)), n != null) { + let J = qu(U, j); + return [H, X, J]; } else - return [H, q]; - }, R = { a: w, b: k, bias: _, preluActivationWeights: E }, D = { transposeA: t10, transposeB: o, activation: s, leakyreluAlpha: i }; - return n == null ? br((M, L, V) => { - let z = T.runKernel(ho, R, D); - return V([M, L, z]), { value: W(z, C), gradFunc: A }; - })(w, k) : br((M, L, V, z) => { - let U = T.runKernel(ho, R, D); - return z([M, L, U, V]), { value: W(U, C), gradFunc: A }; - })(w, k, _); + return [H, X]; + }, D = { a: S, b: k, bias: _, preluActivationWeights: E }, F = { transposeA: t10, transposeB: o, activation: s, leakyreluAlpha: i }; + return n == null ? Ir((M, L, B) => { + let z = T.runKernel(bo, D, F); + return B([M, L, z]), { value: W(z, w), gradFunc: R }; + })(S, k) : Ir((M, L, B, z) => { + let U = T.runKernel(bo, D, F); + return z([M, L, U, B]), { value: W(U, w), gradFunc: R }; + })(S, k, _); } -var b1 = N({ fusedMatMul_: aH }); -function iH(r) { - return al(r, 0.54, 0.46); +var B1 = N({ fusedMatMul_: d6 }); +function f6(r) { + return _l(r, 0.54, 0.46); } -var C1 = N({ hammingWindow_: iH }); -function uH(r) { - return al(r, 0.5, 0.5); +var z1 = N({ hammingWindow_: f6 }); +function h6(r) { + return _l(r, 0.5, 0.5); } -var Fd = N({ hannWindow_: uH }); -function pH(r, e, t10, o = false, n = 0) { +var jd = N({ hannWindow_: h6 }); +function g6(r, e, t10, o = false, n = 0) { let s = 0, a = []; for (; s + e <= r.size; ) - a.push(Ke(r, s, e)), s += t10; + a.push(qe(r, s, e)), s += t10; if (o) for (; s < r.size; ) { - let i = s + e - r.size, p = xt([Ke(r, s, e - i), Us([i], n)]); + let i = s + e - r.size, p = yt([qe(r, s, e - i), Sa([i], n)]); a.push(p), s += t10; } - return a.length === 0 ? Oi([], [0, e]) : W(xt(a), [a.length, e]); + return a.length === 0 ? uu([], [0, e]) : W(yt(a), [a.length, e]); } -var Od = N({ frame_: pH }); -function cH(r, e, t10, o, n = Fd) { - o == null && (o = CC(e)); - let s = Od(r, e, t10), a = ne(s, n(e)); - return Wp(a, o); +var Xd = N({ frame_: g6 }); +function x6(r, e, t10, o, n = jd) { + o == null && (o = Pw(e)); + let s = Xd(r, e, t10), a = se(s, n(e)); + return cc(a, o); } -var S1 = N({ stft_: cH }); -function lH(r, e, t10, o, n = "bilinear", s = 0) { +var V1 = N({ stft_: x6 }); +function y6(r, e, t10, o, n = "bilinear", s = 0) { let a = v(r, "image", "cropAndResize"), i = v(e, "boxes", "cropAndResize", "float32"), p = v(t10, "boxInd", "cropAndResize", "int32"), u = i.shape[0]; $(a.rank === 4, () => `Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`), $(i.rank === 2 && i.shape[1] === 4, () => `Error in cropAndResize: boxes must be have size [${u},4] but had shape ${i.shape}.`), $(p.rank === 1 && p.shape[0] === u, () => `Error in cropAndResize: boxInd must be have size [${u}] but had shape ${i.shape}.`), $(o.length === 2, () => `Error in cropAndResize: cropSize must be of length 2, but got length ${o.length}.`), $(o[0] >= 1 && o[1] >= 1, () => `cropSize must be atleast [1,1], but was ${o}`), $(n === "bilinear" || n === "nearest", () => `method must be bilinear or nearest, but was ${n}`); let c = { image: a, boxes: i, boxInd: p }, l = { method: n, extrapolationValue: s, cropSize: o }; - return T.runKernel(Xo, c, l); + return T.runKernel(pn, c, l); } -var w1 = N({ cropAndResize_: lH }); -function mH(r) { +var W1 = N({ cropAndResize_: y6 }); +function b6(r) { let e = v(r, "image", "flipLeftRight", "float32"); $(e.rank === 4, () => `Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`); let t10 = { image: e }; - return T.runKernel(rn, t10, {}); + return T.runKernel(yn, t10, {}); } -var I1 = N({ flipLeftRight_: mH }); -function dH(r) { +var U1 = N({ flipLeftRight_: b6 }); +function C6(r) { let e = v(r, "image", "grayscaleToRGB"), t10 = e.rank - 1, o = e.shape[t10]; $(e.rank >= 2, () => `Error in grayscaleToRGB: images must be at least rank 2, but got rank ${e.rank}.`), $(o === 1, () => `Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${o}.`); let n = new Array(e.rank); - return n.fill(1, 0, t10), n[t10] = 3, Ai(e, n); + return n.fill(1, 0, t10), n[t10] = 3, nu(e, n); } -var v1 = N({ grayscaleToRGB_: dH }); -function fH(r, e, t10 = 0, o = 0.5) { +var G1 = N({ grayscaleToRGB_: C6 }); +function w6(r, e, t10 = 0, o = 0.5) { let n = v(r, "image", "rotateWithOffset", "float32"); $(n.rank === 4, () => `Error in rotateWithOffset: image must be rank 4,but got rank ${n.rank}.`); let s = { image: n }, a = { radians: e, fillValue: t10, center: o }; - return T.runKernel(ts, s, a); + return T.runKernel(_s, s, a); } -var k1 = N({ rotateWithOffset_: fH }); -function wo(r, e, t10, o, n, s) { +var H1 = N({ rotateWithOffset_: w6 }); +function No(r, e, t10, o, n, s) { o == null && (o = 0.5), n == null && (n = Number.NEGATIVE_INFINITY), s == null && (s = 0); let a = r.shape[0]; return t10 = Math.min(t10, a), $(0 <= o && o <= 1, () => `iouThreshold must be in [0, 1], but was '${o}'`), $(r.rank === 2, () => `boxes must be a 2D tensor, but was of rank '${r.rank}'`), $(r.shape[1] === 4, () => `boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`), $(e.rank === 1, () => "scores must be a 1D tensor"), $(e.shape[0] === a, () => `scores has incompatible shape with boxes. Expected ${a}, but was ${e.shape[0]}`), $(0 <= s && s <= 1, () => `softNmsSigma must be in [0, 1], but was '${s}'`), { maxOutputSize: t10, iouThreshold: o, scoreThreshold: n, softNmsSigma: s }; } -function hH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY) { - let s = v(r, "boxes", "nonMaxSuppression", "float32"), a = v(e, "scores", "nonMaxSuppression", "float32"), i = wo(s, a, t10, o, n); +function S6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY) { + let s = v(r, "boxes", "nonMaxSuppression", "float32"), a = v(e, "scores", "nonMaxSuppression", "float32"), i = No(s, a, t10, o, n); t10 = i.maxOutputSize, o = i.iouThreshold, n = i.scoreThreshold; let p = { maxOutputSize: t10, iouThreshold: o, scoreThreshold: n }; - return T.runKernel(Tn, { boxes: s, scores: a }, p); + return T.runKernel(jn, { boxes: s, scores: a }, p); } -var N1 = N({ nonMaxSuppression_: hH }); -function T1(r, e, t10) { - let o = gH(r, e, t10), n = o < 0 ? -(o + 1) : o; +var K1 = N({ nonMaxSuppression_: S6 }); +function q1(r, e, t10) { + let o = I6(r, e, t10), n = o < 0 ? -(o + 1) : o; r.splice(n, 0, e); } -function gH(r, e, t10) { - return yH(r, e, t10 || xH); +function I6(r, e, t10) { + return k6(r, e, t10 || v6); } -function xH(r, e) { +function v6(r, e) { return r > e ? 1 : r < e ? -1 : 0; } -function yH(r, e, t10) { +function k6(r, e, t10) { let o = 0, n = r.length, s = 0, a = false; for (; o < n; ) { s = o + (n - o >>> 1); @@ -7533,158 +7748,153 @@ function yH(r, e, t10) { } return a ? o : -o - 1; } -function Pd(r, e, t10, o, n) { - return wC(r, e, t10, o, n, 0); +function Yd(r, e, t10, o, n) { + return Mw(r, e, t10, o, n, 0); } -function Md(r, e, t10, o, n, s) { - return wC(r, e, t10, o, n, 0, false, s, true); +function Qd(r, e, t10, o, n, s) { + return Mw(r, e, t10, o, n, 0, false, s, true); } -function Ld(r, e, t10, o, n, s) { - return wC(r, e, t10, o, n, s, true); +function Zd(r, e, t10, o, n, s) { + return Mw(r, e, t10, o, n, s, true); } -function wC(r, e, t10, o, n, s, a = false, i = false, p = false) { +function Mw(r, e, t10, o, n, s, a = false, i = false, p = false) { let u = []; for (let g = 0; g < e.length; g++) e[g] > n && u.push({ score: e[g], boxIndex: g, suppressBeginIndex: 0 }); - u.sort(_1); + u.sort(j1); let c = s > 0 ? -0.5 / s : 0, l = [], m = []; for (; l.length < t10 && u.length > 0; ) { - let g = u.pop(), { score: x, boxIndex: b, suppressBeginIndex: C } = g; + let g = u.pop(), { score: x, boxIndex: b, suppressBeginIndex: w } = g; if (x < n) break; - let w = false; - for (let k = l.length - 1; k >= C; --k) { - let _ = bH(r, b, l[k]); + let S = false; + for (let k = l.length - 1; k >= w; --k) { + let _ = N6(r, b, l[k]); if (_ >= o) { - w = true; + S = true; break; } - if (g.score = g.score * CH(o, c, _), g.score <= n) + if (g.score = g.score * T6(o, c, _), g.score <= n) break; } - g.suppressBeginIndex = l.length, w || (g.score === x ? (l.push(b), m.push(g.score)) : g.score > n && T1(u, g, _1)); + g.suppressBeginIndex = l.length, S || (g.score === x ? (l.push(b), m.push(g.score)) : g.score > n && q1(u, g, j1)); } let d = l.length, f = t10 - d; i && f > 0 && (l.push(...new Array(f).fill(0)), m.push(...new Array(f).fill(0))); let h = { selectedIndices: l }; return a && (h.selectedScores = m), p && (h.validOutputs = d), h; } -function bH(r, e, t10) { +function N6(r, e, t10) { let o = r.subarray(e * 4, e * 4 + 4), n = r.subarray(t10 * 4, t10 * 4 + 4), s = Math.min(o[0], o[2]), a = Math.min(o[1], o[3]), i = Math.max(o[0], o[2]), p = Math.max(o[1], o[3]), u = Math.min(n[0], n[2]), c = Math.min(n[1], n[3]), l = Math.max(n[0], n[2]), m = Math.max(n[1], n[3]), d = (i - s) * (p - a), f = (l - u) * (m - c); if (d <= 0 || f <= 0) return 0; - let h = Math.max(s, u), g = Math.max(a, c), x = Math.min(i, l), b = Math.min(p, m), C = Math.max(x - h, 0) * Math.max(b - g, 0); - return C / (d + f - C); + let h = Math.max(s, u), g = Math.max(a, c), x = Math.min(i, l), b = Math.min(p, m), w = Math.max(x - h, 0) * Math.max(b - g, 0); + return w / (d + f - w); } -function CH(r, e, t10) { +function T6(r, e, t10) { let o = Math.exp(e * t10 * t10); return t10 <= r ? o : 0; } -function _1(r, e) { +function j1(r, e) { return r.score - e.score || r.score === e.score && e.boxIndex - r.boxIndex; } -async function SH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY) { - let s = v(r, "boxes", "nonMaxSuppressionAsync"), a = v(e, "scores", "nonMaxSuppressionAsync"), i = wo(s, a, t10, o, n); +async function _6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY) { + let s = v(r, "boxes", "nonMaxSuppressionAsync"), a = v(e, "scores", "nonMaxSuppressionAsync"), i = No(s, a, t10, o, n); t10 = i.maxOutputSize, o = i.iouThreshold, n = i.scoreThreshold; - let p = await Promise.all([s.data(), a.data()]), u = p[0], c = p[1], { selectedIndices: l } = Pd(u, c, t10, o, n); - return s !== r && s.dispose(), a !== e && a.dispose(), dr(l, "int32"); + let p = await Promise.all([s.data(), a.data()]), u = p[0], c = p[1], { selectedIndices: l } = Yd(u, c, t10, o, n); + return s !== r && s.dispose(), a !== e && a.dispose(), xr(l, "int32"); } -var $1 = SH; -function wH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = 0) { - let a = v(r, "boxes", "nonMaxSuppression"), i = v(e, "scores", "nonMaxSuppression"), p = wo(a, i, t10, o, n, s); +var X1 = _6; +function $6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = 0) { + let a = v(r, "boxes", "nonMaxSuppression"), i = v(e, "scores", "nonMaxSuppression"), p = No(a, i, t10, o, n, s); t10 = p.maxOutputSize, o = p.iouThreshold, n = p.scoreThreshold, s = p.softNmsSigma; - let u = { boxes: a, scores: i }, c = { maxOutputSize: t10, iouThreshold: o, scoreThreshold: n, softNmsSigma: s }, l = T.runKernel(_n, u, c); + let u = { boxes: a, scores: i }, c = { maxOutputSize: t10, iouThreshold: o, scoreThreshold: n, softNmsSigma: s }, l = T.runKernel(Xn, u, c); return { selectedIndices: l[0], selectedScores: l[1] }; } -var E1 = N({ nonMaxSuppressionWithScore_: wH }); -async function IH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = 0) { - let a = v(r, "boxes", "nonMaxSuppressionAsync"), i = v(e, "scores", "nonMaxSuppressionAsync"), p = wo(a, i, t10, o, n, s); +var Y1 = N({ nonMaxSuppressionWithScore_: $6 }); +async function E6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = 0) { + let a = v(r, "boxes", "nonMaxSuppressionAsync"), i = v(e, "scores", "nonMaxSuppressionAsync"), p = No(a, i, t10, o, n, s); t10 = p.maxOutputSize, o = p.iouThreshold, n = p.scoreThreshold, s = p.softNmsSigma; - let u = await Promise.all([a.data(), i.data()]), c = u[0], l = u[1], { selectedIndices: m, selectedScores: d } = Ld(c, l, t10, o, n, s); - return a !== r && a.dispose(), i !== e && i.dispose(), { selectedIndices: dr(m, "int32"), selectedScores: dr(d) }; + let u = await Promise.all([a.data(), i.data()]), c = u[0], l = u[1], { selectedIndices: m, selectedScores: d } = Zd(c, l, t10, o, n, s); + return a !== r && a.dispose(), i !== e && i.dispose(), { selectedIndices: xr(m, "int32"), selectedScores: xr(d) }; } -var A1 = IH; -function vH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = false) { - let a = v(r, "boxes", "nonMaxSuppression"), i = v(e, "scores", "nonMaxSuppression"), p = wo(a, i, t10, o, n, null), u = p.maxOutputSize, c = p.iouThreshold, l = p.scoreThreshold, m = { boxes: a, scores: i }, d = { maxOutputSize: u, iouThreshold: c, scoreThreshold: l, padToMaxOutputSize: s }, f = T.runKernel(ba, m, d); +var Q1 = E6; +function R6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = false) { + let a = v(r, "boxes", "nonMaxSuppression"), i = v(e, "scores", "nonMaxSuppression"), p = No(a, i, t10, o, n, null), u = p.maxOutputSize, c = p.iouThreshold, l = p.scoreThreshold, m = { boxes: a, scores: i }, d = { maxOutputSize: u, iouThreshold: c, scoreThreshold: l, padToMaxOutputSize: s }, f = T.runKernel(Ha, m, d); return { selectedIndices: f[0], validOutputs: f[1] }; } -var R1 = N({ nonMaxSuppressionPadded_: vH }); -async function kH(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = false) { - let a = v(r, "boxes", "nonMaxSuppressionAsync"), i = v(e, "scores", "nonMaxSuppressionAsync"), p = wo(a, i, t10, o, n, null), u = p.maxOutputSize, c = p.iouThreshold, l = p.scoreThreshold, [m, d] = await Promise.all([a.data(), i.data()]), { selectedIndices: f, validOutputs: h } = Md(m, d, u, c, l, s); - return a !== r && a.dispose(), i !== e && i.dispose(), { selectedIndices: dr(f, "int32"), validOutputs: Ce(h, "int32") }; +var Z1 = N({ nonMaxSuppressionPadded_: R6 }); +async function D6(r, e, t10, o = 0.5, n = Number.NEGATIVE_INFINITY, s = false) { + let a = v(r, "boxes", "nonMaxSuppressionAsync"), i = v(e, "scores", "nonMaxSuppressionAsync"), p = No(a, i, t10, o, n, null), u = p.maxOutputSize, c = p.iouThreshold, l = p.scoreThreshold, [m, d] = await Promise.all([a.data(), i.data()]), { selectedIndices: f, validOutputs: h } = Qd(m, d, u, c, l, s); + return a !== r && a.dispose(), i !== e && i.dispose(), { selectedIndices: xr(f, "int32"), validOutputs: ke(h, "int32") }; } -var D1 = kH; -function NH(r, e, t10 = false, o = false) { +var J1 = D6; +function A6(r, e, t10 = false, o = false) { let n = v(r, "images", "resizeBilinear"); $(n.rank === 3 || n.rank === 4, () => `Error in resizeBilinear: x must be rank 3 or 4, but got rank ${n.rank}.`), $(e.length === 2, () => `Error in resizeBilinear: new shape must 2D, but got shape ${e}.`), $(o === false || t10 === false, () => "Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."); let s = n, a = false; n.rank === 3 && (a = true, s = W(n, [1, n.shape[0], n.shape[1], n.shape[2]])); - let [] = e, i = { images: s }, p = { alignCorners: t10, halfPixelCenters: o, size: e }, u = T.runKernel(Mn, i, p); + let [] = e, i = { images: s }, p = { alignCorners: t10, halfPixelCenters: o, size: e }, u = T.runKernel(ns, i, p); return a ? W(u, [u.shape[1], u.shape[2], u.shape[3]]) : u; } -var F1 = N({ resizeBilinear_: NH }); -function TH(r, e, t10 = false, o = false) { +var eN = N({ resizeBilinear_: A6 }); +function F6(r, e, t10 = false, o = false) { let n = v(r, "images", "resizeNearestNeighbor"); $(n.rank === 3 || n.rank === 4, () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${n.rank}.`), $(e.length === 2, () => `Error in resizeNearestNeighbor: new shape must 2D, but got shape ${e}.`), $(n.dtype === "float32" || n.dtype === "int32", () => "`images` must have `int32` or `float32` as dtype"), $(o === false || t10 === false, () => "Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."); let s = n, a = false; n.rank === 3 && (a = true, s = W(n, [1, n.shape[0], n.shape[1], n.shape[2]])); - let [] = e, i = { images: s }, p = { alignCorners: t10, halfPixelCenters: o, size: e }, u = T.runKernel(Pn, i, p); + let [] = e, i = { images: s }, p = { alignCorners: t10, halfPixelCenters: o, size: e }, u = T.runKernel(os, i, p); return a ? W(u, [u.shape[1], u.shape[2], u.shape[3]]) : u; } -var O1 = N({ resizeNearestNeighbor_: TH }); -function _H(r, e = "binary", t10 = false, o = 0.5) { - let n = v(r, "image", "threshold"), s = 0.2989, a = 0.587, i = 0.114, p = n.shape[0] * n.shape[1], u = ne(dr([o]), 255), c, l, m, d; +var tN = N({ resizeNearestNeighbor_: F6 }); +function P6(r, e = "binary", t10 = false, o = 0.5) { + let n = v(r, "image", "threshold"), s = 0.2989, a = 0.587, i = 0.114, p = n.shape[0] * n.shape[1], u = se(xr([o]), 255), c, l, m, d; if ($(n.rank === 3, () => `Error in threshold: image must be rank 3,but got rank ${n.rank}.`), $(n.shape[2] === 3 || n.shape[2] === 1, () => `Error in threshold: image color channel must be equal to 3 or 1but got ${n.shape[2]}.`), $(n.dtype === "int32" || n.dtype === "float32", () => `Error in dtype: image dtype must be int32 or float32,but got dtype ${n.dtype}.`), $(e === "otsu" || e === "binary", () => `Method must be binary or otsu, but was ${e}`), n.shape[2] === 3) { - [c, l, m] = Oa(n, [1, 1, 1], -1); - let g = ne(c, s), x = ne(l, a), b = ne(m, i); + [c, l, m] = ai(n, [1, 1, 1], -1); + let g = se(c, s), x = se(l, a), b = se(m, i); d = be(be(g, x), b); } else d = r; if (e === "otsu") { - let g = Xm(je(Nd(d), "int32"), nr([]), 256); - u = $H(g, p); + let g = md(Ye(Vd(d), "int32"), ir([]), 256); + u = O6(g, p); } - let f = t10 ? Vp(d, u) : uu(d, u); - return je(ne(f, 255), "int32"); + let f = t10 ? ic(d, u) : Bu(d, u); + return Ye(se(f, 255), "int32"); } -function $H(r, e) { - let t10 = dr([-1]), o = dr([0]), n = dr([0]), s, a, i, p, u, c; +function O6(r, e) { + let t10 = xr([-1]), o = xr([0]), n = xr([0]), s, a, i, p, u, c; for (let l = 0; l < r.size - 1; l++) { - s = Ke(r, 0, l + 1), a = Ke(r, l + 1), u = He(et(s), e), c = He(et(a), e); - let m = et(ne(s, Di(0, s.size))); - i = He(m, et(s)); - let d = Us(a.shape, s.size), f = be(Di(0, a.size), d), h = ne(a, f); - p = He(et(h), et(a)); - let g = ke(i, p), x = ke(i, p), b = ne(u, c); - n = ne(ne(b, g), x); - let C = uu(n, o); - o = ss(C, n, o), t10 = ss(C, dr([l]), t10); + s = qe(r, 0, l + 1), a = qe(r, l + 1), u = Ke(ot(s), e), c = Ke(ot(a), e); + let m = ot(se(s, au(0, s.size))); + i = Ke(m, ot(s)); + let d = Sa(a.shape, s.size), f = be(au(0, a.size), d), h = se(a, f); + p = Ke(ot(h), ot(a)); + let g = Te(i, p), x = Te(i, p), b = se(u, c); + n = se(se(b, g), x); + let w = Bu(n, o); + o = io(w, n, o), t10 = io(w, xr([l]), t10); } return t10; } -var P1 = N({ threshold_: _H }); -function EH(r, e, t10 = "nearest", o = "constant", n = 0, s) { +var rN = N({ threshold_: P6 }); +function M6(r, e, t10 = "nearest", o = "constant", n = 0, s) { let a = v(r, "image", "transform", "float32"), i = v(e, "transforms", "transform", "float32"); $(a.rank === 4, () => `Error in transform: image must be rank 4,but got rank ${a.rank}.`), $(i.rank === 2 && (i.shape[0] === a.shape[0] || i.shape[0] === 1) && i.shape[1] === 8, () => "Error in transform: Input transform should be batch x 8 or 1 x 8"), $(s == null || s.length === 2, () => `Error in transform: outputShape must be [height, width] or null, but got ${s}.`); let p = { image: a, transforms: i }, u = { interpolation: t10, fillMode: o, fillValue: n, outputShape: s }; - return T.runKernel(es, p, u); + return T.runKernel(Ts, p, u); } -var M1 = N({ transform_: EH }); -function AH(r, e, t10) { - $(e % 1 === 0, () => `bandPart(): numLower must be an integer, got ${e}.`), $(t10 % 1 === 0, () => `bandPart(): numUpper must be an integer, got ${t10}.`); +var oN = N({ transform_: M6 }); +function L6(r, e, t10) { let o = v(r, "a", "bandPart"); $(o.rank >= 2, () => `bandPart(): Rank must be at least 2, got ${o.rank}.`); - let n = o.shape, [s, a] = o.shape.slice(-2); - if (!(e <= s)) - throw new Error(`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`); - if (!(t10 <= a)) - throw new Error(`bandPart(): numUpper (${t10}) must not be greater than the number of columns (${a}).`); - e < 0 && (e = s), t10 < 0 && (t10 = a); - let i = W(Di(0, s, 1, "int32"), [-1, 1]), p = Di(0, a, 1, "int32"), u = ke(i, p), c = pu(Vp(u, Ce(+e, "int32")), od(u, Ce(-t10, "int32"))), l = Br([s, a], o.dtype); - return W(Sr(so(W(o, [-1, s, a])).map((m) => ss(c, m, l))), n); + let n = o.shape, [s, a] = o.shape.slice(-2), i, p; + typeof e == "number" ? ($(e % 1 === 0, () => `bandPart(): numLower must be an integer, got ${e}.`), $(e <= s, () => `bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`), i = v(e < 0 ? s : e, "numLower", "bandPart")) : ($(e.dtype === "int32", () => "bandPart(): numLower's dtype must be an int32."), i = io(kl(e, 0), s, Wu(e, s))), typeof t10 == "number" ? ($(t10 % 1 === 0, () => `bandPart(): numUpper must be an integer, got ${t10}.`), $(t10 <= a, () => `bandPart(): numUpper (${t10}) must not be greater than the number of columns (${a}).`), p = v(t10 < 0 ? a : t10, "numUpper", "bandPart")) : ($(t10.dtype === "int32", () => "bandPart(): numUpper's dtype must be an int32."), p = io(kl(t10, 0), a, Wu(t10, a))); + let u = W(au(0, s, 1, "int32"), [-1, 1]), c = au(0, a, 1, "int32"), l = Te(u, c), m = zu(ic(l, i), Cd(l, pr(p))), d = Wr([s, a], o.dtype); + return W(vr(po(W(o, [-1, s, a])).map((f) => io(m, f, d))), n); } -var L1 = N({ bandPart_: AH }); -function RH(r) { +var nN = N({ bandPart_: L6 }); +function B6(r) { let e; if (Array.isArray(r)) { e = false, $(r != null && r.length > 0, () => "Gram-Schmidt process: input must not be null, undefined, or empty"); @@ -7692,7 +7902,7 @@ function RH(r) { for (let s = 1; s < r.length; ++s) $(r[s].shape[0] === n, () => `Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${n})`); } else - e = true, r = Oa(r, r.shape[0], 0).map((n) => Up(n, [0])); + e = true, r = ai(r, r.shape[0], 0).map((n) => lc(n, [0])); $(r.length <= r[0].shape[0], () => `Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`); let t10 = [], o = r; for (let n = 0; n < r.length; ++n) @@ -7700,172 +7910,172 @@ function RH(r) { let s = o[n]; if (n > 0) for (let a = 0; a < n; ++a) { - let i = ne(et(ne(t10[a], s)), t10[a]); - s = ke(s, i); + let i = se(ot(se(t10[a], s)), t10[a]); + s = Te(s, i); } - return He(s, iu(s, "euclidean")); + return Ke(s, Lu(s, "euclidean")); })); - return e ? Sr(t10, 0) : t10; + return e ? vr(t10, 0) : t10; } -var B1 = N({ gramSchmidt_: RH }); -function DH(r, e = false) { +var sN = N({ gramSchmidt_: B6 }); +function z6(r, e = false) { if ($(r.rank >= 2, () => `qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`), r.rank === 2) - return V1(r, e); + return aN(r, e); { - let t10 = r.shape.slice(0, r.shape.length - 2).reduce((p, u) => p * u), o = so(W(r, [t10, r.shape[r.shape.length - 2], r.shape[r.shape.length - 1]]), 0), n = [], s = []; + let t10 = r.shape.slice(0, r.shape.length - 2).reduce((p, u) => p * u), o = po(W(r, [t10, r.shape[r.shape.length - 2], r.shape[r.shape.length - 1]]), 0), n = [], s = []; o.forEach((p) => { - let [u, c] = V1(p, e); + let [u, c] = aN(p, e); n.push(u), s.push(c); }); - let a = W(Sr(n, 0), r.shape), i = W(Sr(s, 0), r.shape); + let a = W(vr(n, 0), r.shape), i = W(vr(s, 0), r.shape); return [a, i]; } } -function V1(r, e = false) { +function aN(r, e = false) { return T.tidy(() => { $(r.shape.length === 2, () => `qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`); - let t10 = r.shape[0], o = r.shape[1], n = ed(t10), s = Lr(r), a = Oi([[1]], [1, 1]), i = Lr(a), p = t10 >= o ? o : t10; + let t10 = r.shape[0], o = r.shape[1], n = xd(t10), s = Vr(r), a = uu([[1]], [1, 1]), i = Vr(a), p = t10 >= o ? o : t10; for (let u = 0; u < p; ++u) { let c = s, l = i, m = n; [i, s, n] = T.tidy(() => { - let d = Ke(s, [u, u], [t10 - u, 1]), f = iu(d), h = Ke(s, [u, u], [1, 1]), g = ss(uu(h, 0), Oi([[-1]]), Oi([[1]])), x = ke(h, ne(g, f)), b = He(d, x); - b.shape[0] === 1 ? i = Lr(a) : i = xt([a, Ke(b, [1, 0], [b.shape[0] - 1, b.shape[1]])], 0); - let C = Cr(He(Xe(g, x), f)), w = Ke(s, [u, 0], [t10 - u, o]), k = ne(C, i), _ = Gp(i); + let d = qe(s, [u, u], [t10 - u, 1]), f = Lu(d), h = qe(s, [u, u], [1, 1]), g = io(Bu(h, 0), uu([[-1]]), uu([[1]])), x = Te(h, se(g, f)), b = Ke(d, x); + b.shape[0] === 1 ? i = Vr(a) : i = yt([a, qe(b, [1, 0], [b.shape[0] - 1, b.shape[1]])], 0); + let w = pr(Ke(Qe(g, x), f)), S = qe(s, [u, 0], [t10 - u, o]), k = se(w, i), _ = dc(i); if (u === 0) - s = ke(w, Xe(k, Xe(_, w))); + s = Te(S, Qe(k, Qe(_, S))); else { - let R = ke(w, Xe(k, Xe(_, w))); - s = xt([Ke(s, [0, 0], [u, o]), R], 0); + let D = Te(S, Qe(k, Qe(_, S))); + s = yt([qe(s, [0, 0], [u, o]), D], 0); } - let E = Gp(k), A = Ke(n, [0, u], [t10, n.shape[1] - u]); + let E = dc(k), R = qe(n, [0, u], [t10, n.shape[1] - u]); if (u === 0) - n = ke(A, Xe(Xe(A, i), E)); + n = Te(R, Qe(Qe(R, i), E)); else { - let R = ke(A, Xe(Xe(A, i), E)); - n = xt([Ke(n, [0, 0], [t10, u]), R], 1); + let D = Te(R, Qe(Qe(R, i), E)); + n = yt([qe(n, [0, 0], [t10, u]), D], 1); } return [i, s, n]; }), Ot([c, l, m]); } - return !e && t10 > o && (n = Ke(n, [0, 0], [t10, o]), s = Ke(s, [0, 0], [o, o])), [n, s]; + return !e && t10 > o && (n = qe(n, [0, 0], [t10, o]), s = qe(s, [0, 0], [o, o])), [n, s]; }); } -var z1 = N({ qr_: DH }); -var $t; +var iN = N({ qr_: z6 }); +var Et; (function(r) { r[r.NONE = 0] = "NONE", r[r.MEAN = 1] = "MEAN", r[r.SUM = 2] = "SUM", r[r.SUM_BY_NONZERO_WEIGHTS = 3] = "SUM_BY_NONZERO_WEIGHTS"; -})($t || ($t = {})); -function FH(r, e, t10 = $t.SUM_BY_NONZERO_WEIGHTS) { +})(Et || (Et = {})); +function V6(r, e, t10 = Et.SUM_BY_NONZERO_WEIGHTS) { let o = v(r, "losses", "computeWeightedLoss"), n = null; e != null && (n = v(e, "weights", "computeWeightedLoss")); - let s = n == null ? o : ne(o, n); - if (t10 === $t.NONE) + let s = n == null ? o : se(o, n); + if (t10 === Et.NONE) return s; - if (t10 === $t.SUM) - return et(s); - if (t10 === $t.MEAN) { + if (t10 === Et.SUM) + return ot(s); + if (t10 === Et.MEAN) { if (n == null) - return cu(s); + return Vu(s); { - let a = o.size / n.size, i = He(et(s), et(n)); - return a > 1 ? He(i, Ce(a)) : i; + let a = o.size / n.size, i = Ke(ot(s), ot(n)); + return a > 1 ? Ke(i, ke(a)) : i; } } - if (t10 === $t.SUM_BY_NONZERO_WEIGHTS) { + if (t10 === Et.SUM_BY_NONZERO_WEIGHTS) { if (n == null) - return He(et(s), Ce(o.size)); + return Ke(ot(s), ke(o.size)); { - let a = ne(n, Hs(o.shape)), i = je(et(hd(a, Ce(0))), "float32"); - return He(et(s), i); + let a = se(n, va(o.shape)), i = Ye(ot(Rd(a, ke(0))), "float32"); + return Ke(ot(s), i); } } throw Error(`Unknown reduction: ${t10}`); } -var ar = N({ computeWeightedLoss_: FH }); -function OH(r, e, t10, o = $t.SUM_BY_NONZERO_WEIGHTS) { +var cr = N({ computeWeightedLoss_: V6 }); +function W6(r, e, t10, o = Et.SUM_BY_NONZERO_WEIGHTS) { let n = v(r, "labels", "absoluteDifference"), s = v(e, "predictions", "absoluteDifference"), a = null; - t10 != null && (a = v(t10, "weights", "absoluteDifference")), gt(n.shape, s.shape, "Error in absoluteDifference: "); - let i = Yt(ke(n, s)); - return ar(i, a, o); + t10 != null && (a = v(t10, "weights", "absoluteDifference")), xt(n.shape, s.shape, "Error in absoluteDifference: "); + let i = Zt(Te(n, s)); + return cr(i, a, o); } -var W1 = N({ absoluteDifference_: OH }); -function PH(r, e, t10, o, n = $t.SUM_BY_NONZERO_WEIGHTS) { +var uN = N({ absoluteDifference_: W6 }); +function U6(r, e, t10, o, n = Et.SUM_BY_NONZERO_WEIGHTS) { let s = v(r, "labels", "cosineDistance"), a = v(e, "predictions", "cosineDistance"), i = null; - o != null && (i = v(o, "weights", "cosineDistance")), gt(s.shape, a.shape, "Error in cosineDistance: "); - let p = Ce(1), u = ke(p, et(ne(s, a), t10, true)); - return ar(u, i, n); + o != null && (i = v(o, "weights", "cosineDistance")), xt(s.shape, a.shape, "Error in cosineDistance: "); + let p = ke(1), u = Te(p, ot(se(s, a), t10, true)); + return cr(u, i, n); } -var U1 = N({ cosineDistance_: PH }); -function MH(r, e, t10, o = $t.SUM_BY_NONZERO_WEIGHTS) { +var pN = N({ cosineDistance_: U6 }); +function G6(r, e, t10, o = Et.SUM_BY_NONZERO_WEIGHTS) { let n = v(r, "labels", "hingeLoss"), s = v(e, "predictions", "hingeLoss"), a = null; - t10 != null && (a = v(t10, "weights", "hingeLoss")), gt(n.shape, s.shape, "Error in hingeLoss: "); - let i = Ce(1); - n = ke(ne(Ce(2), n), i); - let p = Fi(ke(i, ne(n, s))); - return ar(p, a, o); + t10 != null && (a = v(t10, "weights", "hingeLoss")), xt(n.shape, s.shape, "Error in hingeLoss: "); + let i = ke(1); + n = Te(se(ke(2), n), i); + let p = iu(Te(i, se(n, s))); + return cr(p, a, o); } -var G1 = N({ hingeLoss_: MH }); -function LH(r, e, t10, o = 1, n = $t.SUM_BY_NONZERO_WEIGHTS) { +var cN = N({ hingeLoss_: G6 }); +function H6(r, e, t10, o = 1, n = Et.SUM_BY_NONZERO_WEIGHTS) { let s = v(r, "labels", "huberLoss"), a = v(e, "predictions", "huberLoss"), i = null; - t10 != null && (i = v(t10, "weights", "huberLoss")), gt(s.shape, a.shape, "Error in huberLoss: "); - let p = Ce(o), u = Yt(ke(a, s)), c = fd(u, p), l = ke(u, c), m = be(ne(Ce(0.5), Qt(c)), ne(p, l)); - return ar(m, i, n); + t10 != null && (i = v(t10, "weights", "huberLoss")), xt(s.shape, a.shape, "Error in huberLoss: "); + let p = ke(o), u = Zt(Te(a, s)), c = Wu(u, p), l = Te(u, c), m = be(se(ke(0.5), Jt(c)), se(p, l)); + return cr(m, i, n); } -var H1 = N({ huberLoss_: LH }); -function BH(r, e, t10, o = 1e-7, n = $t.SUM_BY_NONZERO_WEIGHTS) { +var lN = N({ huberLoss_: H6 }); +function K6(r, e, t10, o = 1e-7, n = Et.SUM_BY_NONZERO_WEIGHTS) { let s = v(r, "labels", "logLoss"), a = v(e, "predictions", "logLoss"), i = null; - t10 != null && (i = v(t10, "weights", "logLoss")), gt(s.shape, a.shape, "Error in logLoss: "); - let p = Ce(1), u = Ce(o), c = Cr(ne(s, Da(be(a, u)))), l = ne(ke(p, s), Da(be(ke(p, a), u))), m = ke(c, l); - return ar(m, i, n); + t10 != null && (i = v(t10, "weights", "logLoss")), xt(s.shape, a.shape, "Error in logLoss: "); + let p = ke(1), u = ke(o), c = pr(se(s, ni(be(a, u)))), l = se(Te(p, s), ni(be(Te(p, a), u))), m = Te(c, l); + return cr(m, i, n); } -var K1 = N({ logLoss_: BH }); -function VH(r, e, t10, o = $t.SUM_BY_NONZERO_WEIGHTS) { +var mN = N({ logLoss_: K6 }); +function q6(r, e, t10, o = Et.SUM_BY_NONZERO_WEIGHTS) { let n = v(r, "labels", "meanSquaredError"), s = v(e, "predictions", "meanSquaredError"), a = null; - t10 != null && (a = v(t10, "weights", "meanSquaredError")), gt(n.shape, s.shape, "Error in meanSquaredError: "); - let i = _d(n, s); - return ar(i, a, o); + t10 != null && (a = v(t10, "weights", "meanSquaredError")), xt(n.shape, s.shape, "Error in meanSquaredError: "); + let i = Ud(n, s); + return cr(i, a, o); } -var q1 = N({ meanSquaredError_: VH }); -function zH(r, e) { +var dN = N({ meanSquaredError_: q6 }); +function j6(r, e) { let t10 = v(r, "labels", "sigmoidCrossEntropyWithLogits"), o = v(e, "logits", "sigmoidCrossEntropyWithLogits"); - gt(t10.shape, o.shape, "Error in sigmoidCrossEntropyWithLogits: "); - let n = Fi(o), s = ne(o, t10), a = sd(So(Cr(Yt(o)))); - return be(ke(n, s), a); + xt(t10.shape, o.shape, "Error in sigmoidCrossEntropyWithLogits: "); + let n = iu(o), s = se(o, t10), a = Sd(ko(pr(Zt(o)))); + return be(Te(n, s), a); } -function WH(r, e, t10, o = 0, n = $t.SUM_BY_NONZERO_WEIGHTS) { +function X6(r, e, t10, o = 0, n = Et.SUM_BY_NONZERO_WEIGHTS) { let s = v(r, "multiClassLabels", "sigmoidCrossEntropy"), a = v(e, "logits", "sigmoidCrossEntropy"), i = null; - if (t10 != null && (i = v(t10, "weights", "sigmoidCrossEntropy")), gt(s.shape, a.shape, "Error in sigmoidCrossEntropy: "), o > 0) { - let u = Ce(o), c = Ce(1), l = Ce(0.5); - s = be(ne(s, ke(c, u)), ne(l, u)); + if (t10 != null && (i = v(t10, "weights", "sigmoidCrossEntropy")), xt(s.shape, a.shape, "Error in sigmoidCrossEntropy: "), o > 0) { + let u = ke(o), c = ke(1), l = ke(0.5); + s = be(se(s, Te(c, u)), se(l, u)); } - let p = zH(s, a); - return ar(p, i, n); + let p = j6(s, a); + return cr(p, i, n); } -var j1 = N({ sigmoidCrossEntropy_: WH }); -function UH(r, e, t10 = -1) { +var fN = N({ sigmoidCrossEntropy_: X6 }); +function Y6(r, e, t10 = -1) { if (t10 === -1 && (t10 = e.rank - 1), t10 !== e.rank - 1) throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t10}`); - return br((n, s, a) => { - let p = ud(s, [t10], true), u = ke(je(s, "float32"), p); + return Ir((n, s, a) => { + let p = kd(s, [t10], true), u = Te(Ye(s, "float32"), p); a([n, u]); - let c = Cr(ne(u, n)); - return { value: et(c, [t10]), gradFunc: (d, f) => { - let [h, g] = f, x = Ea(d.shape, [t10]); - return [ne(W(d, x), ke(je(h, "float32"), So(g))), ne(W(d, x), ke(So(g), je(h, "float32")))]; + let c = pr(se(u, n)); + return { value: ot(c, [t10]), gradFunc: (d, f) => { + let [h, g] = f, x = ti(d.shape, [t10]); + return [se(W(d, x), Te(Ye(h, "float32"), ko(g))), se(W(d, x), Te(ko(g), Ye(h, "float32")))]; } }; })(r, e); } -function GH(r, e, t10, o = 0, n = $t.SUM_BY_NONZERO_WEIGHTS) { +function Q6(r, e, t10, o = 0, n = Et.SUM_BY_NONZERO_WEIGHTS) { let s = v(r, "onehotLabels", "softmaxCrossEntropy"), a = v(e, "logits", "softmaxCrossEntropy"), i = null; - if (t10 != null && (i = v(t10, "weights", "softmaxCrossEntropy")), gt(s.shape, a.shape, "Error in softmaxCrossEntropy: "), o > 0) { - let u = Ce(o), c = Ce(1), l = Ce(s.shape[1]); - s = be(ne(s, ke(c, u)), He(u, l)); + if (t10 != null && (i = v(t10, "weights", "softmaxCrossEntropy")), xt(s.shape, a.shape, "Error in softmaxCrossEntropy: "), o > 0) { + let u = ke(o), c = ke(1), l = ke(s.shape[1]); + s = be(se(s, Te(c, u)), Ke(u, l)); } - let p = UH(s, a); - return ar(p, i, n); + let p = Y6(s, a); + return cr(p, i, n); } -var X1 = N({ softmaxCrossEntropy_: GH }); -function HH(r, e, t10, o) { +var hN = N({ softmaxCrossEntropy_: Q6 }); +function Z6(r, e, t10, o) { let n = v(r, "indices", "sparseFillEmptyRows", "int32"), s = v(e, "values", "sparseFillEmptyRows"), a = v(t10, "denseShape", "sparseFillEmptyRows", "int32"), i = v(o, "defaultValue", "sparseFillEmptyRows", s.dtype); if (n.rank !== 2) throw new Error(`Indices should be Tensor2D but received shape @@ -7876,11 +8086,11 @@ function HH(r, e, t10, o) { throw new Error(`Dense shape should be Tensor1D but received shape ${a.shape}`); if (i.rank !== 0) throw new Error(`Default value should be a scalar but received shape ${i.shape}`); - let p = { indices: n, values: s, denseShape: a, defaultValue: i }, u = T.runKernel(hi, p); + let p = { indices: n, values: s, denseShape: a, defaultValue: i }, u = T.runKernel(Vi, p); return { outputIndices: u[0], outputValues: u[1], emptyRowIndicator: u[2], reverseIndexMap: u[3] }; } -var Y1 = N({ sparseFillEmptyRows_: HH }); -function KH(r, e, t10) { +var gN = N({ sparseFillEmptyRows_: Z6 }); +function J6(r, e, t10) { let o = v(r, "inputIndices", "sparseReshape", "int32"), n = v(e, "inputShape", "sparseReshape", "int32"), s = v(t10, "newShape", "sparseReshape", "int32"); if (o.rank !== 2) throw new Error(`Input indices should be Tensor2D but received shape @@ -7889,11 +8099,11 @@ function KH(r, e, t10) { throw new Error(`Input shape should be Tensor1D but received shape ${n.shape}`); if (s.rank !== 1) throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`); - let a = { inputIndices: o, inputShape: n, newShape: s }, i = T.runKernel(va, a); + let a = { inputIndices: o, inputShape: n, newShape: s }, i = T.runKernel(Xa, a); return { outputIndices: i[0], outputShape: i[1] }; } -var Q1 = N({ sparseReshape_: KH }); -function qH(r, e, t10) { +var xN = N({ sparseReshape_: J6 }); +function ej(r, e, t10) { let o = v(r, "data", "sparseSegmentMean"), n = v(e, "indices", "sparseSegmentMean", "int32"), s = v(t10, "segmentIds", "sparseSegmentMean", "int32"); if (o.rank < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -7904,10 +8114,10 @@ function qH(r, e, t10) { throw new Error(`Segment ids should be Tensor1D but received shape ${s.shape}`); let a = { data: o, indices: n, segmentIds: s }; - return T.runKernel(gi, a); + return T.runKernel(Wi, a); } -var Z1 = N({ sparseSegmentMean_: qH }); -function jH(r, e, t10) { +var yN = N({ sparseSegmentMean_: ej }); +function tj(r, e, t10) { let o = v(r, "data", "sparseSegmentSum"), n = v(e, "indices", "sparseSegmentSum", "int32"), s = v(t10, "segmentIds", "sparseSegmentSum", "int32"); if (o.rank < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -7918,10 +8128,10 @@ function jH(r, e, t10) { throw new Error(`Segment ids should be Tensor1D but received shape ${s.shape}`); let a = { data: o, indices: n, segmentIds: s }; - return T.runKernel(xi, a); + return T.runKernel(Ui, a); } -var J1 = N({ sparseSegmentSum_: jH }); -function XH(r, e, t10, o, n, s, a, i) { +var bN = N({ sparseSegmentSum_: tj }); +function rj(r, e, t10, o, n, s, a, i) { let p = v(r, "data", "stringNGrams", "string"); if (p.dtype !== "string") throw new Error("Data must be of datatype string"); @@ -7930,38 +8140,43 @@ function XH(r, e, t10, o, n, s, a, i) { let u = v(e, "dataSplits", "stringNGrams"); if (u.dtype !== "int32") throw new Error("Data splits must be of datatype int32"); - let c = { separator: t10, nGramWidths: o, leftPad: n, rightPad: s, padWidth: a, preserveShortSequences: i }, l = { data: p, dataSplits: u }, m = T.runKernel(Ds, l, c); + let c = { separator: t10, nGramWidths: o, leftPad: n, rightPad: s, padWidth: a, preserveShortSequences: i }, l = { data: p, dataSplits: u }, m = T.runKernel(ma, l, c); return { nGrams: m[0], nGramsSplits: m[1] }; } -var eN = N({ stringNGrams_: XH }); -function YH(r, e, t10 = true) { +var CN = N({ stringNGrams_: rj }); +function oj(r, e, t10 = true) { let o = v(r, "input", "stringSplit", "string"), n = v(e, "delimiter", "stringSplit", "string"); if (o.rank !== 1) throw new Error(`Input should be Tensor1D but received shape ${o.shape}`); if (n.rank !== 0) throw new Error(`Delimiter should be a scalar but received shape ${n.shape}`); - let s = { skipEmpty: t10 }, a = { input: o, delimiter: n }, i = T.runKernel(Ci, a, s); + let s = { skipEmpty: t10 }, a = { input: o, delimiter: n }, i = T.runKernel(Hi, a, s); return { indices: i[0], values: i[1], shape: i[2] }; } -var tN = N({ stringSplit_: YH }); -function QH(r, e) { +var wN = N({ stringSplit_: oj }); +function nj(r, e) { let t10 = v(r, "input", "stringToHashBucketFast", "string"), o = { numBuckets: e }; if (e <= 0) throw new Error("Number of buckets must be at least 1"); let n = { input: t10 }; - return T.runKernel(Si, n, o); + return T.runKernel(Ki, n, o); } -var rN = N({ stringToHashBucketFast_: QH }); -var ZH = { fft: zp, ifft: du, rfft: Wp, irfft: Td }; -var JH = { hammingWindow: C1, hannWindow: Fd, frame: Od, stft: S1 }; -var eK = { flipLeftRight: I1, grayscaleToRGB: v1, resizeNearestNeighbor: O1, resizeBilinear: F1, rotateWithOffset: k1, cropAndResize: w1, nonMaxSuppression: N1, nonMaxSuppressionAsync: $1, nonMaxSuppressionWithScore: E1, nonMaxSuppressionWithScoreAsync: A1, nonMaxSuppressionPadded: R1, nonMaxSuppressionPaddedAsync: D1, threshold: P1, transform: M1 }; -var tK = { bandPart: L1, gramSchmidt: B1, qr: z1 }; -var rK = { absoluteDifference: W1, computeWeightedLoss: ar, cosineDistance: U1, hingeLoss: G1, huberLoss: H1, logLoss: K1, meanSquaredError: q1, sigmoidCrossEntropy: j1, softmaxCrossEntropy: X1 }; -var oK = { sparseFillEmptyRows: Y1, sparseReshape: Q1, sparseSegmentMean: Z1, sparseSegmentSum: J1 }; -var nK = { stringNGrams: eN, stringSplit: tN, stringToHashBucketFast: rN }; -var oN = {}; -Ge(oN, { Serializable: () => il, SerializationMap: () => qs, registerClass: () => IC }); -var il = class { +var SN = N({ stringToHashBucketFast_: nj }); +function sj(r, e, t10, o = true) { + let n = v(r, "input", "staticRegexReplace", "string"), s = { pattern: e, rewrite: t10, replaceGlobal: o }; + return T.runKernel(_u, { x: n }, s); +} +var IN = N({ staticRegexReplace_: sj }); +var aj = { fft: pc, ifft: Hu, rfft: cc, irfft: Wd }; +var ij = { hammingWindow: z1, hannWindow: jd, frame: Xd, stft: V1 }; +var uj = { flipLeftRight: U1, grayscaleToRGB: G1, resizeNearestNeighbor: tN, resizeBilinear: eN, rotateWithOffset: H1, cropAndResize: W1, nonMaxSuppression: K1, nonMaxSuppressionAsync: X1, nonMaxSuppressionWithScore: Y1, nonMaxSuppressionWithScoreAsync: Q1, nonMaxSuppressionPadded: Z1, nonMaxSuppressionPaddedAsync: J1, threshold: rN, transform: oN }; +var pj = { bandPart: nN, gramSchmidt: sN, qr: iN }; +var cj = { absoluteDifference: uN, computeWeightedLoss: cr, cosineDistance: pN, hingeLoss: cN, huberLoss: lN, logLoss: mN, meanSquaredError: dN, sigmoidCrossEntropy: fN, softmaxCrossEntropy: hN }; +var lj = { sparseFillEmptyRows: gN, sparseReshape: xN, sparseSegmentMean: yN, sparseSegmentSum: bN }; +var mj = { stringNGrams: CN, stringSplit: wN, stringToHashBucketFast: SN, staticRegexReplace: IN }; +var vN = {}; +He(vN, { Serializable: () => $l, SerializationMap: () => Na, registerClass: () => Lw }); +var $l = class { getClassName() { return this.constructor.className; } @@ -7969,21 +8184,21 @@ var il = class { return new e(t10); } }; -var qs = class { +var Na = class { constructor() { this.classNameMap = {}; } static getMap() { - return qs.instance == null && (qs.instance = new qs()), qs.instance; + return Na.instance == null && (Na.instance = new Na()), Na.instance; } static register(e) { - qs.getMap().classNameMap[e.className] = [e, e.fromConfig]; + Na.getMap().classNameMap[e.className] = [e, e.fromConfig]; } }; -function IC(r) { - $(r.className != null, () => "Class being registered does not have the static className property defined."), $(typeof r.className == "string", () => "className is required to be a string, but got type " + typeof r.className), $(r.className.length > 0, () => "Class being registered has an empty-string as its className, which is disallowed."), qs.register(r); +function Lw(r) { + $(r.className != null, () => "Class being registered does not have the static className property defined."), $(typeof r.className == "string", () => "className is required to be a string, but got type " + typeof r.className), $(r.className.length > 0, () => "Class being registered has an empty-string as its className, which is disallowed."), Na.register(r); } -var wr = class extends il { +var kr = class extends $l { minimize(e, t10 = false, o) { let { value: n, grads: s } = this.computeGradients(e, o); if (o != null) { @@ -8000,13 +8215,13 @@ var wr = class extends il { this.iterations_ = this.iterations + 1; } computeGradients(e, t10) { - return pC(e, t10); + return vw(e, t10); } dispose() { this.iterations_ != null && Ot(this.iterations_); } async saveIterations() { - return this.iterations_ == null && (this.iterations_ = 0), { name: "iter", tensor: Ce(this.iterations_, "int32") }; + return this.iterations_ == null && (this.iterations_ = 0), { name: "iter", tensor: ke(this.iterations_, "int32") }; } async getWeights() { throw new Error("getWeights() is not implemented for this optimizer yet."); @@ -8018,26 +8233,26 @@ var wr = class extends il { return this.iterations_ = (await e[0].tensor.data())[0], e.slice(1); } }; -Object.defineProperty(wr, Symbol.hasInstance, { value: (r) => r.minimize != null && r.computeGradients != null && r.applyGradients != null }); -var yu = class extends wr { - constructor(e, t10, o = null) { - super(), this.learningRate = e, this.rho = t10, this.epsilon = o, this.accumulatedGrads = [], this.accumulatedUpdates = [], o == null && (this.epsilon = T.backend.epsilon()); - } +Object.defineProperty(kr, Symbol.hasInstance, { value: (r) => r.minimize != null && r.computeGradients != null && r.applyGradients != null }); +var Yu = class extends kr { static get className() { return "Adadelta"; } + constructor(e, t10, o = null) { + super(), this.learningRate = e, this.rho = t10, this.epsilon = o, this.accumulatedGrads = [], this.accumulatedUpdates = [], o == null && (this.epsilon = T.backend.epsilon()); + } applyGradients(e) { (Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e)).forEach((o, n) => { let s = T.registeredVariables[o], a = false; - this.accumulatedGrads[n] == null && (this.accumulatedGrads[n] = { originalName: `${o}/accum_grad`, variable: Ee(() => Ut(s).variable(a)) }), this.accumulatedUpdates[n] == null && (this.accumulatedUpdates[n] = { originalName: `${o}/accum_var`, variable: Ee(() => Ut(s).variable(a)) }); + this.accumulatedGrads[n] == null && (this.accumulatedGrads[n] = { originalName: `${o}/accum_grad`, variable: De(() => Ht(s).variable(a)) }), this.accumulatedUpdates[n] == null && (this.accumulatedUpdates[n] = { originalName: `${o}/accum_var`, variable: De(() => Ht(s).variable(a)) }); let i = Array.isArray(e) ? e[n].tensor : e[o]; if (i == null) return; let p = this.accumulatedGrads[n].variable, u = this.accumulatedUpdates[n].variable; - Ee(() => { - let c = be(ne(p, this.rho), ne(Qt(i), 1 - this.rho)), l = ne(He($r(be(u, this.epsilon)), $r(be(p, this.epsilon))), i), m = be(ne(u, this.rho), ne(Qt(l), 1 - this.rho)); + De(() => { + let c = be(se(p, this.rho), se(Jt(i), 1 - this.rho)), l = se(Ke(Rr(be(u, this.epsilon)), Rr(be(p, this.epsilon))), i), m = be(se(u, this.rho), se(Jt(l), 1 - this.rho)); p.assign(c), u.assign(m); - let d = be(ne(l, -this.learningRate), s); + let d = be(se(l, -this.learningRate), s); s.assign(d); }); }), this.incrementIterations(); @@ -8061,25 +8276,25 @@ var yu = class extends wr { return new e(t10.learningRate, t10.rho, t10.epsilon); } }; -var bu = class extends wr { - constructor(e, t10 = 0.1) { - super(), this.learningRate = e, this.initialAccumulatorValue = t10, this.accumulatedGrads = []; - } +var Qu = class extends kr { static get className() { return "Adagrad"; } + constructor(e, t10 = 0.1) { + super(), this.learningRate = e, this.initialAccumulatorValue = t10, this.accumulatedGrads = []; + } applyGradients(e) { (Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e)).forEach((o, n) => { let s = T.registeredVariables[o]; - this.accumulatedGrads[n] == null && (this.accumulatedGrads[n] = { originalName: `${o}/accumulator`, variable: Ee(() => Us(s.shape, this.initialAccumulatorValue).variable(false)) }); + this.accumulatedGrads[n] == null && (this.accumulatedGrads[n] = { originalName: `${o}/accumulator`, variable: De(() => Sa(s.shape, this.initialAccumulatorValue).variable(false)) }); let a = Array.isArray(e) ? e[n].tensor : e[o]; if (a == null) return; let i = this.accumulatedGrads[n].variable; - Ee(() => { - let p = be(i, Qt(a)); + De(() => { + let p = be(i, Jt(a)); i.assign(p); - let u = be(ne(He(a, $r(be(p, T.backend.epsilon()))), -this.learningRate), s); + let u = be(se(Ke(a, Rr(be(p, T.backend.epsilon()))), -this.learningRate), s); s.assign(u); }); }), this.incrementIterations(); @@ -8102,30 +8317,30 @@ var bu = class extends wr { return new e(t10.learningRate, t10.initialAccumulatorValue); } }; -var Cu = class extends wr { - constructor(e, t10, o, n = null) { - super(), this.learningRate = e, this.beta1 = t10, this.beta2 = o, this.epsilon = n, this.accumulatedFirstMoment = [], this.accumulatedSecondMoment = [], Ee(() => { - this.accBeta1 = Ce(t10).variable(), this.accBeta2 = Ce(o).variable(); - }), n == null && (this.epsilon = T.backend.epsilon()); - } +var Zu = class extends kr { static get className() { return "Adam"; } + constructor(e, t10, o, n = null) { + super(), this.learningRate = e, this.beta1 = t10, this.beta2 = o, this.epsilon = n, this.accumulatedFirstMoment = [], this.accumulatedSecondMoment = [], De(() => { + this.accBeta1 = ke(t10).variable(), this.accBeta2 = ke(o).variable(); + }), n == null && (this.epsilon = T.backend.epsilon()); + } applyGradients(e) { let t10 = Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e); - Ee(() => { - let o = ke(1, this.accBeta1), n = ke(1, this.accBeta2); + De(() => { + let o = Te(1, this.accBeta1), n = Te(1, this.accBeta2); t10.forEach((s, a) => { let i = T.registeredVariables[s], p = false; - this.accumulatedFirstMoment[a] == null && (this.accumulatedFirstMoment[a] = { originalName: `${s}/m`, variable: Ee(() => Ut(i).variable(p)) }), this.accumulatedSecondMoment[a] == null && (this.accumulatedSecondMoment[a] = { originalName: `${s}/v`, variable: Ee(() => Ut(i).variable(p)) }); + this.accumulatedFirstMoment[a] == null && (this.accumulatedFirstMoment[a] = { originalName: `${s}/m`, variable: De(() => Ht(i).variable(p)) }), this.accumulatedSecondMoment[a] == null && (this.accumulatedSecondMoment[a] = { originalName: `${s}/v`, variable: De(() => Ht(i).variable(p)) }); let u = Array.isArray(e) ? e[a].tensor : e[s]; if (u == null) return; - let c = this.accumulatedFirstMoment[a].variable, l = this.accumulatedSecondMoment[a].variable, m = be(ne(c, this.beta1), ne(u, 1 - this.beta1)), d = be(ne(l, this.beta2), ne(Qt(u), 1 - this.beta2)), f = He(m, o), h = He(d, n); + let c = this.accumulatedFirstMoment[a].variable, l = this.accumulatedSecondMoment[a].variable, m = be(se(c, this.beta1), se(u, 1 - this.beta1)), d = be(se(l, this.beta2), se(Jt(u), 1 - this.beta2)), f = Ke(m, o), h = Ke(d, n); c.assign(m), l.assign(d); - let g = be(ne(He(f, be($r(h), this.epsilon)), -this.learningRate), i); + let g = be(se(Ke(f, be(Rr(h), this.epsilon)), -this.learningRate), i); i.assign(g); - }), this.accBeta1.assign(ne(this.accBeta1, this.beta1)), this.accBeta2.assign(ne(this.accBeta2, this.beta2)); + }), this.accBeta1.assign(se(this.accBeta1, this.beta1)), this.accBeta2.assign(se(this.accBeta2, this.beta2)); }), this.incrementIterations(); } dispose() { @@ -8136,8 +8351,8 @@ var Cu = class extends wr { return [await this.saveIterations()].concat(e.map((t10) => ({ name: t10.originalName, tensor: t10.variable }))); } async setWeights(e) { - e = await this.extractIterations(e), Ee(() => { - this.accBeta1.assign(Aa(this.beta1, this.iterations_ + 1)), this.accBeta2.assign(Aa(this.beta2, this.iterations_ + 1)); + e = await this.extractIterations(e), De(() => { + this.accBeta1.assign(ri(this.beta1, this.iterations_ + 1)), this.accBeta2.assign(ri(this.beta2, this.iterations_ + 1)); }); let t10 = e.length / 2, o = false; this.accumulatedFirstMoment = e.slice(0, t10).map((n) => ({ originalName: n.name, variable: n.tensor.variable(o) })), this.accumulatedSecondMoment = e.slice(t10, t10 * 2).map((n) => ({ originalName: n.name, variable: n.tensor.variable(o) })); @@ -8149,30 +8364,30 @@ var Cu = class extends wr { return new e(t10.learningRate, t10.beta1, t10.beta2, t10.epsilon); } }; -var Su = class extends wr { - constructor(e, t10, o, n = null, s = 0) { - super(), this.learningRate = e, this.beta1 = t10, this.beta2 = o, this.epsilon = n, this.decay = s, this.accumulatedFirstMoment = [], this.accumulatedWeightedInfNorm = [], Ee(() => { - this.iteration = Ce(0).variable(), this.accBeta1 = Ce(t10).variable(); - }), n == null && (this.epsilon = T.backend.epsilon()); - } +var Ju = class extends kr { static get className() { return "Adamax"; } + constructor(e, t10, o, n = null, s = 0) { + super(), this.learningRate = e, this.beta1 = t10, this.beta2 = o, this.epsilon = n, this.decay = s, this.accumulatedFirstMoment = [], this.accumulatedWeightedInfNorm = [], De(() => { + this.iteration = ke(0).variable(), this.accBeta1 = ke(t10).variable(); + }), n == null && (this.epsilon = T.backend.epsilon()); + } applyGradients(e) { let t10 = Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e); - Ee(() => { - let o = ke(1, this.accBeta1), n = He(-this.learningRate, be(ne(this.iteration, this.decay), 1)); + De(() => { + let o = Te(1, this.accBeta1), n = Ke(-this.learningRate, be(se(this.iteration, this.decay), 1)); t10.forEach((s, a) => { let i = T.registeredVariables[s], p = false; - this.accumulatedFirstMoment[a] == null && (this.accumulatedFirstMoment[a] = { originalName: `${s}/m`, variable: Ut(i).variable(p) }), this.accumulatedWeightedInfNorm[a] == null && (this.accumulatedWeightedInfNorm[a] = { originalName: `${s}/v`, variable: Ut(i).variable(p) }); + this.accumulatedFirstMoment[a] == null && (this.accumulatedFirstMoment[a] = { originalName: `${s}/m`, variable: Ht(i).variable(p) }), this.accumulatedWeightedInfNorm[a] == null && (this.accumulatedWeightedInfNorm[a] = { originalName: `${s}/v`, variable: Ht(i).variable(p) }); let u = Array.isArray(e) ? e[a].tensor : e[s]; if (u == null) return; - let c = this.accumulatedFirstMoment[a].variable, l = this.accumulatedWeightedInfNorm[a].variable, m = be(ne(c, this.beta1), ne(u, 1 - this.beta1)), d = ne(l, this.beta2), f = Yt(u), h = dd(d, f); + let c = this.accumulatedFirstMoment[a].variable, l = this.accumulatedWeightedInfNorm[a].variable, m = be(se(c, this.beta1), se(u, 1 - this.beta1)), d = se(l, this.beta2), f = Zt(u), h = Ed(d, f); c.assign(m), l.assign(h); - let g = be(ne(He(n, o), He(m, be(h, this.epsilon))), i); + let g = be(se(Ke(n, o), Ke(m, be(h, this.epsilon))), i); i.assign(g); - }), this.iteration.assign(be(this.iteration, 1)), this.accBeta1.assign(ne(this.accBeta1, this.beta1)); + }), this.iteration.assign(be(this.iteration, 1)), this.accBeta1.assign(se(this.accBeta1, this.beta1)); }), this.incrementIterations(); } dispose() { @@ -8191,27 +8406,27 @@ var Su = class extends wr { return new e(t10.learningRate, t10.beta1, t10.beta2, t10.epsilon, t10.decay); } }; -var Pa = class extends wr { - constructor(e) { - super(), this.learningRate = e, this.setLearningRate(e); - } +var ii = class extends kr { static get className() { return "SGD"; } + constructor(e) { + super(), this.learningRate = e, this.setLearningRate(e); + } applyGradients(e) { (Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e)).forEach((o, n) => { let s = Array.isArray(e) ? e[n].tensor : e[o]; if (s == null) return; let a = T.registeredVariables[o]; - Ee(() => { - let i = be(ne(this.c, s), a); + De(() => { + let i = be(se(this.c, s), a); a.assign(i); }); }), this.incrementIterations(); } setLearningRate(e) { - this.learningRate = e, this.c != null && this.c.dispose(), this.c = _r(Ce(-e)); + this.learningRate = e, this.c != null && this.c.dispose(), this.c = Er(ke(-e)); } dispose() { this.c.dispose(); @@ -8230,21 +8445,21 @@ var Pa = class extends wr { return new e(t10.learningRate); } }; -var wu = class extends Pa { - constructor(e, t10, o = false) { - super(e), this.learningRate = e, this.momentum = t10, this.useNesterov = o, this.accumulations = [], this.m = Ce(this.momentum); - } +var ep = class extends ii { static get className() { return "Momentum"; } + constructor(e, t10, o = false) { + super(e), this.learningRate = e, this.momentum = t10, this.useNesterov = o, this.accumulations = [], this.m = ke(this.momentum); + } applyGradients(e) { (Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e)).forEach((o, n) => { let s = T.registeredVariables[o]; - this.accumulations[n] == null && (this.accumulations[n] = { originalName: `${o}/momentum`, variable: Ee(() => Ut(s).variable(false)) }); + this.accumulations[n] == null && (this.accumulations[n] = { originalName: `${o}/momentum`, variable: De(() => Ht(s).variable(false)) }); let a = this.accumulations[n].variable, i = Array.isArray(e) ? e[n].tensor : e[o]; - i != null && Ee(() => { - let p, u = be(ne(this.m, a), i); - this.useNesterov ? p = be(ne(this.c, be(i, ne(u, this.m))), s) : p = be(ne(this.c, u), s), a.assign(u), s.assign(p); + i != null && De(() => { + let p, u = be(se(this.m, a), i); + this.useNesterov ? p = be(se(this.c, be(i, se(u, this.m))), s) : p = be(se(this.c, u), s), a.assign(u), s.assign(p); }); }), this.incrementIterations(); } @@ -8269,33 +8484,33 @@ var wu = class extends Pa { return new e(t10.learningRate, t10.momentum, t10.useNesterov); } }; -var Iu = class extends wr { +var tp = class extends kr { + static get className() { + return "RMSProp"; + } constructor(e, t10 = 0.9, o = 0, n = null, s = false) { if (super(), this.learningRate = e, this.decay = t10, this.momentum = o, this.epsilon = n, this.accumulatedMeanSquares = [], this.accumulatedMoments = [], this.accumulatedMeanGrads = [], this.centered = s, n == null && (this.epsilon = T.backend.epsilon()), e == null) throw new Error("learningRate for RMSPropOptimizer must be defined."); } - static get className() { - return "RMSProp"; - } applyGradients(e) { (Array.isArray(e) ? e.map((o) => o.name) : Object.keys(e)).forEach((o, n) => { let s = T.registeredVariables[o], a = false; - this.accumulatedMeanSquares[n] == null && (this.accumulatedMeanSquares[n] = { originalName: `${o}/rms`, variable: Ee(() => Ut(s).variable(a)) }), this.accumulatedMoments[n] == null && (this.accumulatedMoments[n] = { originalName: `${o}/momentum`, variable: Ee(() => Ut(s).variable(a)) }), this.accumulatedMeanGrads[n] == null && this.centered && (this.accumulatedMeanGrads[n] = { originalName: `${o}/mg`, variable: Ee(() => Ut(s).variable(a)) }); + this.accumulatedMeanSquares[n] == null && (this.accumulatedMeanSquares[n] = { originalName: `${o}/rms`, variable: De(() => Ht(s).variable(a)) }), this.accumulatedMoments[n] == null && (this.accumulatedMoments[n] = { originalName: `${o}/momentum`, variable: De(() => Ht(s).variable(a)) }), this.accumulatedMeanGrads[n] == null && this.centered && (this.accumulatedMeanGrads[n] = { originalName: `${o}/mg`, variable: De(() => Ht(s).variable(a)) }); let i = Array.isArray(e) ? e[n].tensor : e[o]; if (i == null) return; let p = this.accumulatedMeanSquares[n].variable, u = this.accumulatedMoments[n].variable; - Ee(() => { - let c = be(ne(p, this.decay), ne(Qt(i), 1 - this.decay)); + De(() => { + let c = be(se(p, this.decay), se(Jt(i), 1 - this.decay)); if (this.centered) { - let l = this.accumulatedMeanGrads[n].variable, m = be(ne(l, this.decay), ne(i, 1 - this.decay)), d = He(ne(i, this.learningRate), $r(ke(c, be(Qt(m), this.epsilon)))), f = be(ne(u, this.momentum), d); + let l = this.accumulatedMeanGrads[n].variable, m = be(se(l, this.decay), se(i, 1 - this.decay)), d = Ke(se(i, this.learningRate), Rr(Te(c, be(Jt(m), this.epsilon)))), f = be(se(u, this.momentum), d); p.assign(c), l.assign(m), u.assign(f); - let h = ke(s, f); + let h = Te(s, f); s.assign(h); } else { - let l = be(ne(p, this.decay), ne(Qt(i), 1 - this.decay)), m = be(ne(u, this.momentum), He(ne(i, this.learningRate), $r(be(l, this.epsilon)))); + let l = be(se(p, this.decay), se(Jt(i), 1 - this.decay)), m = be(se(u, this.momentum), Ke(se(i, this.learningRate), Rr(be(l, this.epsilon)))); p.assign(l), u.assign(m); - let d = ke(s, m); + let d = Te(s, m); s.assign(d); } }); @@ -8320,24 +8535,24 @@ var Iu = class extends wr { return new e(t10.learningRate, t10.decay, t10.momentum, t10.epsilon, t10.centered); } }; -var sK = [yu, bu, Cu, Su, wu, Iu, Pa]; -function nN() { - for (let r of sK) - IC(r); +var dj = [Yu, Qu, Zu, Ju, ep, tp, ii]; +function kN() { + for (let r of dj) + Lw(r); } -var La = {}; -Ge(La, { browserFiles: () => aN, browserHTTPRequest: () => pN, concatenateArrayBuffers: () => Fp, copyModel: () => V0, decodeWeights: () => Bm, encodeWeights: () => v0, fromMemory: () => cN, fromMemorySync: () => $C, getLoadHandlers: () => E0, getModelArtifactsForJSON: () => Op, getModelArtifactsForJSONSync: () => Qb, getModelArtifactsInfoForJSON: () => Ms, getSaveHandlers: () => $0, getWeightSpecs: () => zm, http: () => Vd, isHTTPScheme: () => Bd, listModels: () => L0, loadWeights: () => iN, moveModel: () => z0, registerLoadRouter: () => _0, registerSaveRouter: () => T0, removeModel: () => B0, weightsLoaderFactory: () => TC, withSaveHandler: () => lN, withSaveHandlerSync: () => mN }); -var aK = "model"; -var iK = ".json"; -var uK = ".weights.bin"; -function sN(r) { +var pi = {}; +He(pi, { browserFiles: () => TN, browserHTTPRequest: () => EN, concatenateArrayBuffers: () => tc, copyModel: () => ok, decodeWeights: () => rd, encodeWeights: () => V0, fromMemory: () => RN, fromMemorySync: () => Gw, getLoadHandlers: () => q0, getModelArtifactsForJSON: () => rc, getModelArtifactsForJSONSync: () => mw, getModelArtifactsInfoForJSON: () => ga, getSaveHandlers: () => K0, getWeightSpecs: () => nd, http: () => tf, isHTTPScheme: () => ef, listModels: () => tk, loadWeights: () => _N, moveModel: () => nk, registerLoadRouter: () => H0, registerSaveRouter: () => G0, removeModel: () => rk, weightsLoaderFactory: () => Ww, withSaveHandler: () => DN, withSaveHandlerSync: () => AN }); +var fj = "model"; +var hj = ".json"; +var gj = ".weights.bin"; +function NN(r) { return new Promise((e) => setTimeout(e)).then(r); } -var Ma = class { +var ui = class { constructor(e) { - if (!O().getBool("IS_BROWSER")) + if (!P().getBool("IS_BROWSER")) throw new Error("browserDownloads() cannot proceed because the current environment is not a browser."); - e.startsWith(Ma.URL_SCHEME) && (e = e.slice(Ma.URL_SCHEME.length)), (e == null || e.length === 0) && (e = aK), this.modelJsonFileName = e + iK, this.weightDataFileName = e + uK; + e.startsWith(ui.URL_SCHEME) && (e = e.slice(ui.URL_SCHEME.length)), (e == null || e.length === 0) && (e = fj), this.modelJsonFileName = e + hj, this.weightDataFileName = e + gj; } async save(e) { if (typeof document == "undefined") @@ -8346,17 +8561,17 @@ var Ma = class { if (e.modelTopology instanceof ArrayBuffer) throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet."); { - let o = [{ paths: ["./" + this.weightDataFileName], weights: e.weightSpecs }], n = Vm(e, o), s = window.URL.createObjectURL(new Blob([JSON.stringify(n)], { type: "application/json" })), a = this.modelJsonAnchor == null ? document.createElement("a") : this.modelJsonAnchor; - if (a.download = this.modelJsonFileName, a.href = s, await sN(() => a.dispatchEvent(new MouseEvent("click"))), e.weightData != null) { + let o = [{ paths: ["./" + this.weightDataFileName], weights: e.weightSpecs }], n = od(e, o), s = window.URL.createObjectURL(new Blob([JSON.stringify(n)], { type: "application/json" })), a = this.modelJsonAnchor == null ? document.createElement("a") : this.modelJsonAnchor; + if (a.download = this.modelJsonFileName, a.href = s, await NN(() => a.dispatchEvent(new MouseEvent("click"))), e.weightData != null) { let i = this.weightDataAnchor == null ? document.createElement("a") : this.weightDataAnchor; - i.download = this.weightDataFileName, i.href = t10, await sN(() => i.dispatchEvent(new MouseEvent("click"))); + i.download = this.weightDataFileName, i.href = t10, await NN(() => i.dispatchEvent(new MouseEvent("click"))); } - return { modelArtifactsInfo: Ms(e) }; + return { modelArtifactsInfo: ga(e) }; } } }; -Ma.URL_SCHEME = "downloads://"; -var vC = class { +ui.URL_SCHEME = "downloads://"; +var Bw = class { constructor(e) { if (e == null || e.length < 1) throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`); @@ -8379,7 +8594,7 @@ var vC = class { e({ modelTopology: a }); return; } - let p = Op(s, (u) => this.loadWeights(u)); + let p = rc(s, (u) => this.loadWeights(u)); e(p); }, o.onerror = (n) => t10(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`), o.readAsText(this.jsonFile); }); @@ -8389,7 +8604,7 @@ var vC = class { for (let a of e) t10.push(...a.weights), o.push(...a.paths); let n = this.checkManifestAndWeightFiles(e), s = o.map((a) => this.loadWeightsFile(a, n[a])); - return Promise.all(s).then((a) => [t10, Fp(a)]); + return Promise.all(s).then((a) => [t10, tc(a)]); } loadWeightsFile(e, t10) { return new Promise((o, n) => { @@ -8401,10 +8616,10 @@ var vC = class { }); } checkManifestAndWeightFiles(e) { - let t10 = [], o = this.weightsFiles.map((s) => Yb(s.name)), n = {}; + let t10 = [], o = this.weightsFiles.map((s) => lw(s.name)), n = {}; for (let s of e) s.paths.forEach((a) => { - let i = Yb(a); + let i = lw(a); if (t10.indexOf(i) !== -1) throw new Error(`Duplicate file basename found in weights manifest: '${i}'`); if (t10.push(i), o.indexOf(i) === -1) @@ -8416,15 +8631,67 @@ var vC = class { return n; } }; -var pK = (r) => O().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(Ma.URL_SCHEME) ? cK(r.slice(Ma.URL_SCHEME.length)) : null; -mt.registerSaveRouter(pK); -function cK(r = "model") { - return new Ma(r); +var xj = (r) => P().getBool("IS_BROWSER") && !Array.isArray(r) && r.startsWith(ui.URL_SCHEME) ? yj(r.slice(ui.URL_SCHEME.length)) : null; +ft.registerSaveRouter(xj); +function yj(r = "model") { + return new ui(r); } -function aN(r) { - return new vC(r); +function TN(r) { + return new Bw(r); } -function kC(r, e, t10, o) { +var Jd = class { + constructor(e) { + if (this.shards = [], this.previousShardIndex = 0, e instanceof Array || (e = [e]), e = e.map((o) => Pt(o) ? o.buffer : o), e.length === 0) + return; + this.bufferUniformSize = e[0].byteLength; + let t10 = 0; + for (let o = 0; o < e.length; o++) { + let n = e[o]; + o !== e.length - 1 && n.byteLength !== this.bufferUniformSize && (this.bufferUniformSize = void 0); + let s = t10 + n.byteLength; + this.shards.push({ buffer: n, start: t10, end: s }), t10 = s; + } + this.shards.length === 0 && (this.byteLength = 0), this.byteLength = this.shards[this.shards.length - 1].end; + } + slice(e = 0, t10 = this.byteLength) { + if (e = isNaN(Number(e)) ? 0 : e, t10 = isNaN(Number(t10)) ? 0 : t10, e = Math.max(0, e), t10 = Math.min(this.byteLength, t10), t10 <= e) + return new ArrayBuffer(0); + let o = this.findShardForByte(e); + if (o === -1) + throw new Error(`Could not find start shard for byte ${e}`); + let n = t10 - e, s = new ArrayBuffer(n), a = new Uint8Array(s), i = 0; + for (let p = o; p < this.shards.length; p++) { + let u = this.shards[p], l = e + i - u.start, m = i, f = Math.min(t10, u.end) - u.start, h = new Uint8Array(u.buffer.slice(l, f)); + if (a.set(h, m), i += h.length, t10 < u.end) + break; + } + return s; + } + findShardForByte(e) { + if (this.shards.length === 0 || e < 0 || e >= this.byteLength) + return -1; + if (this.bufferUniformSize != null) + return this.previousShardIndex = Math.floor(e / this.bufferUniformSize), this.previousShardIndex; + function t10(n) { + return e < n.start ? -1 : e >= n.end ? 1 : 0; + } + if (t10(this.shards[this.previousShardIndex]) === 0) + return this.previousShardIndex; + let o = bj(this.shards, t10); + return o === -1 ? -1 : (this.previousShardIndex = o, this.previousShardIndex); + } +}; +function bj(r, e) { + let t10 = 0, o = r.length; + for (; t10 <= o; ) { + let n = Math.floor((o - t10) / 2) + t10, s = e(r[n]); + if (s === 0) + return n; + s < 0 ? o = n : t10 = n + 1; + } + return -1; +} +function zw(r, e, t10, o) { a(r), t10 = t10 == null ? 0 : t10, o = o == null ? 1 : o, i(t10, o); let n = 0, s = (p) => (p.then((u) => { let c = t10 + ++n / r.length * (o - t10); @@ -8438,26 +8705,26 @@ function kC(r, e, t10, o) { } return Promise.all(r.map(s)); } -async function NC(r, e) { +async function Vw(r, e) { e == null && (e = {}); - let t10 = e.fetchFunc == null ? O().platform.fetch : e.fetchFunc, o = r.map((l) => t10(l, e.requestInit, { isBinary: true })), n = 0, s = 0.5, i = (e.onProgress == null ? await Promise.all(o) : await kC(o, e.onProgress, n, s)).map((l) => l.arrayBuffer()), p = 0.5, u = 1; - return e.onProgress == null ? await Promise.all(i) : await kC(i, e.onProgress, p, u); + let t10 = e.fetchFunc == null ? P().platform.fetch : e.fetchFunc, o = r.map((l) => t10(l, e.requestInit, { isBinary: true })), n = 0, s = 0.5, i = (e.onProgress == null ? await Promise.all(o) : await zw(o, e.onProgress, n, s)).map((l) => l.arrayBuffer()), p = 0.5, u = 1; + return e.onProgress == null ? await Promise.all(i) : await zw(i, e.onProgress, p, u); } -async function iN(r, e = "", t10, o) { - return TC((a) => NC(a, { requestInit: o }))(r, e, t10); +async function _N(r, e = "", t10, o) { + return Ww((a) => Vw(a, { requestInit: o }))(r, e, t10); } -function TC(r) { +function Ww(r) { return async (e, t10 = "", o) => { let n = e.map(() => false), s = {}, a = o != null ? o.map(() => false) : [], i = []; if (e.forEach((d, f) => { let h = 0; d.weights.forEach((g) => { - let x = "quantization" in g ? g.quantization.dtype : g.dtype, b = Zc[x] * We(g.shape), C = () => { + let x = "quantization" in g ? g.quantization.dtype : g.dtype, b = Cl[x] * Ue(g.shape), w = () => { n[f] = true, s[f] == null && (s[f] = []), s[f].push({ manifestEntry: g, groupOffset: h, sizeBytes: b }); }; - o != null ? o.forEach((w, k) => { - w === g.name && (C(), a[k] = true); - }) : C(), i.push(g.name), h += b; + o != null ? o.forEach((S, k) => { + S === g.name && (w(), a[k] = true); + }) : w(), i.push(g.name), h += b; }); }), !a.every((d) => d)) { let d = o.filter((f, h) => !a[h]); @@ -8473,27 +8740,20 @@ Manifest JSON has weights with names: ${i.join(", ")}.`); }); let c = await r(u), l = {}, m = 0; return p.forEach((d) => { - let f = e[d].paths.length, h = 0; - for (let w = 0; w < f; w++) - h += c[m + w].byteLength; - let g = new ArrayBuffer(h), x = new Uint8Array(g), b = 0; - for (let w = 0; w < f; w++) { - let k = new Uint8Array(c[m + w]); - x.set(k, b), b += k.byteLength; - } - s[d].forEach((w) => { - let k = g.slice(w.groupOffset, w.groupOffset + w.sizeBytes), _ = Bm(k, [w.manifestEntry]); - for (let E in _) - l[E] = _[E]; + let f = e[d].paths.length, h = new Jd(c.slice(m, m + f)); + s[d].forEach((x) => { + let b = h.slice(x.groupOffset, x.groupOffset + x.sizeBytes), w = rd(b, [x.manifestEntry]); + for (let S in w) + l[S] = w[S]; }), m += f; }), l; }; } -var lK = "application/octet-stream"; -var mK = "application/json"; -var ul = class { +var Cj = "application/octet-stream"; +var wj = "application/json"; +var El = class { constructor(e, t10) { - if (this.DEFAULT_METHOD = "POST", t10 == null && (t10 = {}), this.weightPathPrefix = t10.weightPathPrefix, this.onProgress = t10.onProgress, this.weightUrlConverter = t10.weightUrlConverter, t10.fetchFunc != null ? ($(typeof t10.fetchFunc == "function", () => "Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"), this.fetch = t10.fetchFunc) : this.fetch = O().platform.fetch, $(e != null && e.length > 0, () => "URL path for http must not be null, undefined or empty."), Array.isArray(e) && $(e.length === 2, () => `URL paths for http must have a length of 2, (actual length is ${e.length}).`), this.path = e, t10.requestInit != null && t10.requestInit.body != null) + if (this.DEFAULT_METHOD = "POST", t10 == null && (t10 = {}), this.weightPathPrefix = t10.weightPathPrefix, this.onProgress = t10.onProgress, this.weightUrlConverter = t10.weightUrlConverter, t10.fetchFunc != null ? ($(typeof t10.fetchFunc == "function", () => "Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"), this.fetch = t10.fetchFunc) : this.fetch = P().platform.fetch, $(e != null && e.length > 0, () => "URL path for http must not be null, undefined or empty."), Array.isArray(e) && $(e.length === 2, () => `URL paths for http must have a length of 2, (actual length is ${e.length}).`), this.path = e, t10.requestInit != null && t10.requestInit.body != null) throw new Error("requestInit is expected to have no pre-existing body, but has one."); this.requestInit = t10.requestInit || {}; } @@ -8502,11 +8762,11 @@ var ul = class { throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet."); let t10 = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit); t10.body = new FormData(); - let o = [{ paths: ["./model.weights.bin"], weights: e.weightSpecs }], n = Vm(e, o); - t10.body.append("model.json", new Blob([JSON.stringify(n)], { type: mK }), "model.json"), e.weightData != null && t10.body.append("model.weights.bin", new Blob([e.weightData], { type: lK }), "model.weights.bin"); + let o = [{ paths: ["./model.weights.bin"], weights: e.weightSpecs }], n = od(e, o); + t10.body.append("model.json", new Blob([JSON.stringify(n)], { type: wj }), "model.json"), e.weightData != null && t10.body.append("model.weights.bin", new Blob([e.weightData], { type: Cj }), "model.weights.bin"); let s = await this.fetch(this.path, t10); if (s.ok) - return { modelArtifactsInfo: Ms(e), responses: [s] }; + return { modelArtifactsInfo: ga(e), responses: [s] }; throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`); } async load() { @@ -8523,45 +8783,45 @@ var ul = class { let o = t10.modelTopology, n = t10.weightsManifest; if (o == null && n == null) throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`); - return Op(t10, (s) => this.loadWeights(s)); + return rc(t10, (s) => this.loadWeights(s)); } async loadWeights(e) { - let t10 = Array.isArray(this.path) ? this.path[1] : this.path, [o, n] = dK(t10), s = this.weightPathPrefix || o, a = zm(e), i = [], p = []; + let t10 = Array.isArray(this.path) ? this.path[1] : this.path, [o, n] = Sj(t10), s = this.weightPathPrefix || o, a = nd(e), i = [], p = []; for (let c of e) for (let l of c.paths) this.weightUrlConverter != null ? p.push(this.weightUrlConverter(l)) : i.push(s + l + n); this.weightUrlConverter && i.push(...await Promise.all(p)); - let u = await NC(i, { requestInit: this.requestInit, fetchFunc: this.fetch, onProgress: this.onProgress }); - return [a, Fp(u)]; + let u = await Vw(i, { requestInit: this.requestInit, fetchFunc: this.fetch, onProgress: this.onProgress }); + return [a, tc(u)]; } }; -ul.URL_SCHEME_REGEX = /^https?:\/\//; -function dK(r) { +El.URL_SCHEME_REGEX = /^https?:\/\//; +function Sj(r) { let e = r.lastIndexOf("/"), t10 = r.lastIndexOf("?"), o = r.substring(0, e), n = t10 > e ? r.substring(t10) : ""; return [o + "/", n]; } -function Bd(r) { - return r.match(ul.URL_SCHEME_REGEX) != null; +function ef(r) { + return r.match(El.URL_SCHEME_REGEX) != null; } -var uN = (r, e) => { +var $N = (r, e) => { if (typeof fetch == "undefined" && (e == null || e.fetchFunc == null)) return null; { let t10 = true; - if (Array.isArray(r) ? t10 = r.every((o) => Bd(o)) : t10 = Bd(r), t10) - return Vd(r, e); + if (Array.isArray(r) ? t10 = r.every((o) => ef(o)) : t10 = ef(r), t10) + return tf(r, e); } return null; }; -mt.registerSaveRouter(uN); -mt.registerLoadRouter(uN); -function Vd(r, e) { - return new ul(r, e); +ft.registerSaveRouter($N); +ft.registerLoadRouter($N); +function tf(r, e) { + return new El(r, e); } -function pN(r, e) { - return Vd(r, e); +function EN(r, e) { + return tf(r, e); } -var pl = class { +var Rl = class { constructor(e) { this.modelArtifacts = e; } @@ -8569,7 +8829,7 @@ var pl = class { return this.modelArtifacts; } }; -var zd = class { +var rf = class { constructor(e) { this.saveHandler = e; } @@ -8577,37 +8837,37 @@ var zd = class { return this.saveHandler(e); } }; -var _C = class { +var Uw = class { constructor(e) { e.load && (this.load = () => Promise.resolve(e.load())), e.save && (this.save = (t10) => Promise.resolve(e.save(t10))); } }; -function cN(r, e, t10, o) { +function RN(r, e, t10, o) { let n = arguments; - return new _C($C(...n)); + return new Uw(Gw(...n)); } -function $C(r, e, t10, o) { - return arguments.length === 1 ? r.modelTopology != null || r.weightSpecs != null ? new pl(r) : (console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."), new pl({ modelTopology: r })) : (console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."), new pl({ modelTopology: r, weightSpecs: e, weightData: t10, trainingConfig: o })); +function Gw(r, e, t10, o) { + return arguments.length === 1 ? r.modelTopology != null || r.weightSpecs != null ? new Rl(r) : (console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."), new Rl({ modelTopology: r })) : (console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."), new Rl({ modelTopology: r, weightSpecs: e, weightData: t10, trainingConfig: o })); } -function lN(r) { - return new zd(r); +function DN(r) { + return new rf(r); } -function mN(r) { - return new zd(r); +function AN(r) { + return new rf(r); } -var fN = {}; -Ge(fN, { confusionMatrix: () => dN }); -function fK(r, e, t10) { +var PN = {}; +He(PN, { confusionMatrix: () => FN }); +function Ij(r, e, t10) { let o = v(r, "labels", "confusionMatrix"), n = v(e, "predictions", "confusionMatrix"); $(t10 == null || t10 > 0 && Number.isInteger(t10), () => `If provided, numClasses must be a positive integer, but got ${t10}`), $(o.rank === 1, () => `Expected the rank of labels to be 1, but got ${o.rank}`), $(n.rank === 1, () => `Expected the rank of predictions to be 1, but got ${n.rank}`), $(o.shape[0] === n.shape[0], () => `Mismatch in the number of examples: ${o.shape[0]} vs. ${n.shape[0]}. Labels and predictions should have the same number of elements.`), $(t10 > 0 && Number.isInteger(t10), () => `numClasses is required to be a positive integer, but got ${t10}`); - let s = nl(je(o, "int32"), t10), a = nl(je(n, "int32"), t10), i = Gp(s), p = Xe(i, a); - return je(p, "int32"); + let s = Tl(Ye(o, "int32"), t10), a = Tl(Ye(n, "int32"), t10), i = dc(s), p = Qe(i, a); + return Ye(p, "int32"); } -var dN = N({ confusionMatrix_: fK }); -var gN = {}; -Ge(gN, { fromPixels: () => SK, fromPixelsAsync: () => bK, toPixels: () => CK }); -var vu; -function hN(r, e = 3) { +var FN = N({ confusionMatrix_: Ij }); +var MN = {}; +He(MN, { fromPixels: () => Ej, fromPixelsAsync: () => _j, toPixels: () => $j }); +var rp; +function ON(r, e = 3) { if (e > 4) throw new Error("Cannot construct Tensor with more than 4 channels from pixels."); if (r == null) @@ -8627,9 +8887,9 @@ function hN(r, e = 3) { i = true; else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`); - if (Kc(Zi, T.backendName) != null) { + if (fl($u, T.backendName) != null) { let f = { pixels: r }, h = { numChannels: e }; - return T.runKernel(Zi, f, h); + return T.runKernel($u, f, h); } let [u, c] = n ? [r.videoWidth, r.videoHeight] : [r.width, r.height], l; if (a) @@ -8637,15 +8897,15 @@ function hN(r, e = 3) { else if (o || t10) l = r.data; else if (s || n || i) { - if (vu == null) + if (rp == null) if (typeof document == "undefined") if (typeof OffscreenCanvas != "undefined" && typeof OffscreenCanvasRenderingContext2D != "undefined") - vu = new OffscreenCanvas(1, 1).getContext("2d"); + rp = new OffscreenCanvas(1, 1).getContext("2d"); else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported."); else - vu = document.createElement("canvas").getContext("2d", { willReadFrequently: true }); - vu.canvas.width = u, vu.canvas.height = c, vu.drawImage(r, 0, 0, u, c), l = vu.getImageData(0, 0, u, c).data; + rp = document.createElement("canvas").getContext("2d", { willReadFrequently: true }); + rp.canvas.width = u, rp.canvas.height = c, rp.drawImage(r, 0, 0, u, c), l = rp.getImageData(0, 0, u, c).data; } let m; if (e === 4) @@ -8657,23 +8917,23 @@ function hN(r, e = 3) { for (let g = 0; g < e; ++g) m[h * e + g] = l[h * 4 + g]; } - return Ed(m, [c, u, e], "int32"); + return Hd(m, [c, u, e], "int32"); } -function hK(r) { +function vj(r) { return r != null && r.data instanceof Uint8Array; } -function gK() { +function kj() { return typeof window != "undefined" && typeof ImageBitmap != "undefined" && window.hasOwnProperty("createImageBitmap"); } -function xK(r) { +function Nj(r) { return r != null && r.width !== 0 && r.height !== 0; } -function yK(r) { - return gK() && !(r instanceof ImageBitmap) && xK(r) && !hK(r); +function Tj(r) { + return kj() && !(r instanceof ImageBitmap) && Nj(r) && !vj(r); } -async function bK(r, e = 3) { +async function _j(r, e = 3) { let t10 = null; - if (O().getBool("WRAP_TO_IMAGEBITMAP") && yK(r)) { + if (P().getBool("WRAP_TO_IMAGEBITMAP") && Tj(r)) { let o; try { o = await createImageBitmap(r, { premultiplyAlpha: "none" }); @@ -8683,13 +8943,13 @@ async function bK(r, e = 3) { o != null && o.width === r.width && o.height === r.height ? t10 = o : t10 = r; } else t10 = r; - return hN(t10, e); + return ON(t10, e); } -async function CK(r, e) { +async function $j(r, e) { let t10 = v(r, "img", "toPixels"); - if (!(r instanceof it)) { + if (!(r instanceof pt)) { let u = t10; - t10 = je(u, "int32"), u.dispose(); + t10 = Ye(u, "int32"), u.dispose(); } if (t10.rank !== 2 && t10.rank !== 3) throw new Error(`toPixels only supports rank 2 or 3 tensors, got rank ${t10.rank}.`); @@ -8720,10 +8980,10 @@ async function CK(r, e) { } return t10 !== r && t10.dispose(), p; } -var SK = N({ fromPixels_: hN }); -var Wd = {}; -Ge(Wd, { prepareAndValidate: () => xN }); -function xN(r, e) { +var Ej = N({ fromPixels_: ON }); +var of = {}; +He(of, { prepareAndValidate: () => LN }); +function LN(r, e) { let t10 = r.shape.length, o = e.shape.length; if (t10 < 1) throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${t10}.`); @@ -8733,7 +8993,7 @@ function xN(r, e) { throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${e.dtype}.`); if (e.shape[o - 1] > t10) throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[o - 1]} vs. ${t10}`); - if (We(r.shape) === 0) + if (Ue(r.shape) === 0) throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`); let n = e.shape, s = n[n.length - 1], a = 1; for (let l = 0; l < n.length - 1; ++l) @@ -8743,32 +9003,32 @@ function xN(r, e) { let u = 1; for (let l = s; l < t10; ++l) u *= i[l], p.push(i[l]); - let c = [...xs(r.shape).map((l) => l / u), 1].slice(0, s); + let c = [...Us(r.shape).map((l) => l / u), 1].slice(0, s); return [p, a, u, c]; } -var ut = {}; -Ge(ut, { assertParamsValid: () => IK, computeFlatOffset: () => _K, computeOutShape: () => kK, getNormalizedAxes: () => NK, isSliceContinous: () => TK, maskToAxes: () => vK, parseSliceParams: () => $K, sliceInfo: () => EK, startForAxis: () => kN, startIndicesWithElidedDims: () => wN, stopForAxis: () => NN, stopIndicesWithElidedDims: () => IN, stridesForAxis: () => vN, stridesWithElidedDims: () => bN }); -var EC = -2; -var wK = -1; -function IK(r, e, t10) { +var ct = {}; +He(ct, { assertParamsValid: () => Dj, computeFlatOffset: () => Mj, computeOutShape: () => Fj, getNormalizedAxes: () => Pj, isSliceContinous: () => Oj, maskToAxes: () => Aj, parseSliceParams: () => Lj, sliceInfo: () => Bj, startForAxis: () => KN, startIndicesWithElidedDims: () => UN, stopForAxis: () => qN, stopIndicesWithElidedDims: () => GN, stridesForAxis: () => HN, stridesWithElidedDims: () => zN }); +var Hw = -2; +var Rj = -1; +function Dj(r, e, t10) { let o = r.shape.length; $(o === e.length, () => `Error in slice${o}D: Length of begin ${e} must match the rank of the array (${o}).`), $(o === t10.length, () => `Error in slice${o}D: Length of size ${t10} must match the rank of the array (${o}).`); for (let n = 0; n < o; ++n) $(e[n] + t10[n] <= r.shape[n], () => `Error in slice${o}D: begin[${n}] + size[${n}] (${e[n] + t10[n]}) would overflow input.shape[${n}] (${r.shape[n]})`); } -function vK(r) { +function Aj(r) { let e = [], t10 = 0; for (; r > 0; ) r & 1 && e.push(t10), r /= 2, t10++; return e; } -function kK(r, e, t10) { +function Fj(r, e, t10) { let o = []; for (let n = 0; n < r.length; n++) o[n] = Math.ceil((e[n] - r[n]) / t10[n]); return o; } -function bN(r, e, t10, o) { +function zN(r, e, t10, o) { let n = [...r]; for (let s = n.length; s < o.length; s++) n.push(1); @@ -8776,68 +9036,68 @@ function bN(r, e, t10, o) { s === 0 ? n[e] = 1 : (n.splice(e, 0, 1), n.pop()); return n; } -function CN(r, e, t10) { +function VN(r, e, t10) { return t10 <= r ? t10 : t10 - (e - 1); } -function SN(r, e) { +function WN(r, e) { let t10 = []; for (let o = 0; o < r; o++) t10.push(e + o); return t10; } -function NK(r, e, t10, o, n, s, a, i, p) { +function Pj(r, e, t10, o, n, s, a, i, p) { let u = r.length, c = new Array(u), l = new Array(u), m = new Array(u); if (e.length && t10 > 0) { let d = e[0], f = t10 + 1; - c = wN(a, d, f, o, r), l = IN(i, d, f, n, r), m = bN(s, d, f, r); + c = UN(a, d, f, o, r), l = GN(i, d, f, n, r), m = zN(s, d, f, r); } else for (let d = 0; d < u; d++) - c[d] = kN(a, o, s, r, d, p), l[d] = NN(i, n, s, r, d, p), m[d] = vN(s, d, p); + c[d] = KN(a, o, s, r, d, p), l[d] = qN(i, n, s, r, d, p), m[d] = HN(s, d, p); return { begin: c, end: l, strides: m }; } -function wN(r, e, t10, o, n) { - let s = [...n], a = SN(t10, e); +function UN(r, e, t10, o, n) { + let s = [...n], a = WN(t10, e); for (let i = 0; i < s.length; i++) if (a.indexOf(i) > -1) s[i] = 0; else { - let p = CN(e, t10, i), u = o[p]; + let p = VN(e, t10, i), u = o[p]; r & 1 << p && (u = 0), s[i] = u; } return s; } -function IN(r, e, t10, o, n) { - let s = [...n], a = SN(t10, e); +function GN(r, e, t10, o, n) { + let s = [...n], a = WN(t10, e); for (let i = 0; i < s.length; i++) if (a.indexOf(i) > -1) s[i] = Number.MAX_SAFE_INTEGER; else { - let p = CN(e, t10, i), u = o[p]; + let p = VN(e, t10, i), u = o[p]; r & 1 << p && (u = Number.MAX_SAFE_INTEGER), s[i] = u; } for (let i = 0; i < s.length; i++) { let p = n[i]; - s[i] < 0 && (s[i] += p), s[i] = ip(0, s[i], n[i]); + s[i] < 0 && (s[i] += p), s[i] = zp(0, s[i], n[i]); } return s; } -function vN(r, e, t10) { +function HN(r, e, t10) { let o = r[e]; return (t10 & 1 << e || o == null) && (o = 1), o; } -function kN(r, e, t10, o, n, s) { +function KN(r, e, t10, o, n, s) { let a = e[n], i = t10[n] || 1; (r & 1 << n || s & 1 << n || a == null) && (i > 0 ? a = Number.MIN_SAFE_INTEGER : a = Number.MAX_SAFE_INTEGER); let p = o[n]; - return a < 0 && (a += p), a = ip(0, a, p - 1), a; + return a < 0 && (a += p), a = zp(0, a, p - 1), a; } -function NN(r, e, t10, o, n, s) { +function qN(r, e, t10, o, n, s) { let a = e[n], i = t10[n] || 1; (r & 1 << n || s & 1 << n || a == null) && (i > 0 ? a = Number.MAX_SAFE_INTEGER : a = Number.MIN_SAFE_INTEGER); let p = o[n]; - return a < 0 && (a += p), i > 0 ? a = ip(0, a, p) : a = ip(-1, a, p - 1), a; + return a < 0 && (a += p), i > 0 ? a = zp(0, a, p) : a = zp(-1, a, p - 1), a; } -function TK(r, e, t10) { +function Oj(r, e, t10) { let o = t10.length; for (let n = 0; n < t10.length; n++) if (t10[n] > 1) { @@ -8849,13 +9109,13 @@ function TK(r, e, t10) { return false; return true; } -function _K(r, e) { +function Mj(r, e) { let t10 = r.length > 0 ? r[r.length - 1] : 1; for (let o = 0; o < r.length - 1; o++) t10 += r[o] * e[o]; return t10; } -function $K(r, e, t10) { +function Lj(r, e, t10) { let o, n = r.shape.length; typeof e == "number" ? o = [e, ...new Array(n - 1).fill(0)] : e.length < n ? o = e.concat(new Array(n - e.length).fill(0)) : o = e.slice(), o.forEach((a) => { $(a !== -1, () => "slice() does not support negative begin indexing."); @@ -8863,55 +9123,55 @@ function $K(r, e, t10) { let s; return t10 == null ? s = new Array(n).fill(-1) : typeof t10 == "number" ? s = [t10, ...new Array(n - 1).fill(-1)] : t10.length < n ? s = t10.concat(new Array(n - t10.length).fill(-1)) : s = t10, s = s.map((a, i) => a >= 0 ? a : ($(a === -1, () => `Negative size values should be exactly -1 but got ${a} for the slice() size at index ${i}.`), r.shape[i] - o[i])), [o, s]; } -function EK(r, e, t10, o, n, s, a, i, p) { +function Bj(r, e, t10, o, n, s, a, i, p) { let u; if (o == null ? (u = new Array(e.length), u.fill(1)) : u = o, a != null && a & a - 1) throw new Error("Multiple ellipses in slice is not allowed."); let c = false, l = { dims: u.length, numAddAxisAfterEllipsis: 0, begin: e.slice(), end: t10.slice(), strides: u.slice(), beginMask: n, endMask: s, ellipsisMask: a, newAxisMask: i, shrinkAxisMask: p }; - for (let C = 0; C < l.dims; C++) - c && 1 << C & i && l.numAddAxisAfterEllipsis++, 1 << C & a && (c = true); + for (let w = 0; w < l.dims; w++) + c && 1 << w & i && l.numAddAxisAfterEllipsis++, 1 << w & a && (c = true); c || (l.ellipsisMask |= 1 << l.dims, l.dims++); let m = { dims: r.length, beginMask: 0, endMask: 0, beginValid: false, endValid: false }; - AK(l, m); + zj(l, m); let d = true, f = true, h = true, g = [], x = []; - for (let C = 0; C < r.length; ++C) { - if (m.strides[C] === 0) - throw Error(`strides[${C}] must be non-zero`); - let w = !!(m.shrinkAxisMask & 1 << C), k = r[C]; + for (let w = 0; w < r.length; ++w) { + if (m.strides[w] === 0) + throw Error(`strides[${w}] must be non-zero`); + let S = !!(m.shrinkAxisMask & 1 << w), k = r[w]; if (k === -1) { - g.push(w ? 1 : -1); + g.push(S ? 1 : -1); continue; } - let _ = [m.beginMask & 1 << C, m.endMask & 1 << C], E = [m.strides[C] > 0 ? 0 : -1, m.strides[C] > 0 ? k : k - 1]; - if (w && m.strides[C] <= 0) + let _ = [m.beginMask & 1 << w, m.endMask & 1 << w], E = [m.strides[w] > 0 ? 0 : -1, m.strides[w] > 0 ? k : k - 1]; + if (S && m.strides[w] <= 0) throw Error("only stride 1 allowed on non-range indexing."); - h = h && m.strides[C] === 1; - let A = !!(m.beginMask & 1 << C && m.endMask & 1 << C); + h = h && m.strides[w] === 1; + let R = !!(m.beginMask & 1 << w && m.endMask & 1 << w); if (m.beginValid && m.endValid) { - if (w) { - let M = m.begin[C] < 0 ? k + m.begin[C] : m.begin[C]; - if (m.begin[C] = M, m.end[C] = m.begin[C] + 1, M < 0 || M >= k) - throw Error(`slice index ${m.begin[C]} of dimension ${C} out of bounds.`); + if (S) { + let M = m.begin[w] < 0 ? k + m.begin[w] : m.begin[w]; + if (m.begin[w] = M, m.end[w] = m.begin[w] + 1, M < 0 || M >= k) + throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`); } else - m.begin[C] = yN(m.begin[C], 0, m.strides[C], k, _, E), m.end[C] = yN(m.end[C], 1, m.strides[C], k, _, E); - let P = m.strides[C] === 1 && m.begin[C] === 0 && m.end[C] === k; - d = d && P, f = f && (C === 0 && m.strides[C] === 1 || P); + m.begin[w] = BN(m.begin[w], 0, m.strides[w], k, _, E), m.end[w] = BN(m.end[w], 1, m.strides[w], k, _, E); + let O = m.strides[w] === 1 && m.begin[w] === 0 && m.end[w] === k; + d = d && O, f = f && (w === 0 && m.strides[w] === 1 || O); } else - d = d && m.strides[C] === 1 && A, f = f && (C === 0 && m.strides[C] === 1 || A); - let R, D = false; - if (m.beginValid && m.endValid ? (R = m.end[C] - m.begin[C], D = true) : w ? (R = 1, D = true) : A && k >= 0 && (m.strides[C] < 0 ? R = -k : R = k, D = true), D) { - let P; - R === 0 || R < 0 != m.strides[C] < 0 ? P = 0 : P = Math.trunc(R / m.strides[C]) + (R % m.strides[C] !== 0 ? 1 : 0), g.push(P); + d = d && m.strides[w] === 1 && R, f = f && (w === 0 && m.strides[w] === 1 || R); + let D, F = false; + if (m.beginValid && m.endValid ? (D = m.end[w] - m.begin[w], F = true) : S ? (D = 1, F = true) : R && k >= 0 && (m.strides[w] < 0 ? D = -k : D = k, F = true), F) { + let O; + D === 0 || D < 0 != m.strides[w] < 0 ? O = 0 : O = Math.trunc(D / m.strides[w]) + (D % m.strides[w] !== 0 ? 1 : 0), g.push(O); } else g.push(-1); } - for (let C = 0; C < m.finalShapeGatherIndices.length; ++C) { - let w = m.finalShapeGatherIndices[C]; - w >= 0 ? x.push(g[w]) : w === EC && x.push(1); + for (let w = 0; w < m.finalShapeGatherIndices.length; ++w) { + let S = m.finalShapeGatherIndices[w]; + S >= 0 ? x.push(g[S]) : S === Hw && x.push(1); } - return { finalShapeSparse: x.filter((C, w) => m.finalShapeGatherIndices[w] !== EC), finalShape: x, isIdentity: d, sliceDim0: f, isSimpleSlice: h, begin: m.begin, end: m.end, strides: m.strides }; + return { finalShapeSparse: x.filter((w, S) => m.finalShapeGatherIndices[S] !== Hw), finalShape: x, isIdentity: d, sliceDim0: f, isSimpleSlice: h, begin: m.begin, end: m.end, strides: m.strides }; } -function AK(r, e) { +function zj(r, e) { e.beginMask = 0, e.endMask = 0, e.shrinkAxisMask = 0; let t10 = 0; e.beginValid = r.begin != null, e.endValid = r.end != null, e.begin = new Array(e.dims), e.end = new Array(e.dims), e.strides = new Array(e.dims), e.finalShapeGatherIndices = [], e.finalShapeGatherIndicesSparse = [], e.inputShapeGatherIndicesSparse = new Array(e.dims); @@ -8921,14 +9181,14 @@ function AK(r, e) { for (; t10 < n; t10++) e.begin[t10] = 0, e.end[t10] = 0, e.strides[t10] = 1, e.beginMask |= 1 << t10, e.endMask |= 1 << t10, e.finalShapeGatherIndices.push(t10), e.finalShapeGatherIndicesSparse.push(-1), e.inputShapeGatherIndicesSparse[t10] = o; } else if (1 << o & r.newAxisMask) - e.finalShapeGatherIndices.push(EC), e.finalShapeGatherIndicesSparse.push(-1); + e.finalShapeGatherIndices.push(Hw), e.finalShapeGatherIndicesSparse.push(-1); else { if (t10 === e.begin.length) throw Error(`Index out of range using input dim ${t10}; input has only ${e.dims} dims, ${e.begin.length}.`); - r.begin != null && (e.begin[t10] = r.begin[o]), r.end != null && (e.end[t10] = r.end[o]), e.strides[t10] = r.strides[o], r.beginMask & 1 << o && (e.beginMask |= 1 << t10), r.endMask & 1 << o && (e.endMask |= 1 << t10), r.shrinkAxisMask & 1 << o ? (e.finalShapeGatherIndices.push(wK), e.finalShapeGatherIndicesSparse.push(-1), e.shrinkAxisMask |= 1 << t10) : (e.finalShapeGatherIndices.push(t10), e.finalShapeGatherIndicesSparse.push(o)), e.inputShapeGatherIndicesSparse[t10] = o, t10++; + r.begin != null && (e.begin[t10] = r.begin[o]), r.end != null && (e.end[t10] = r.end[o]), e.strides[t10] = r.strides[o], r.beginMask & 1 << o && (e.beginMask |= 1 << t10), r.endMask & 1 << o && (e.endMask |= 1 << t10), r.shrinkAxisMask & 1 << o ? (e.finalShapeGatherIndices.push(Rj), e.finalShapeGatherIndicesSparse.push(-1), e.shrinkAxisMask |= 1 << t10) : (e.finalShapeGatherIndices.push(t10), e.finalShapeGatherIndicesSparse.push(o)), e.inputShapeGatherIndicesSparse[t10] = o, t10++; } } -function yN(r, e, t10, o, n, s) { +function BN(r, e, t10, o, n, s) { if (n[e]) return t10 > 0 ? s[e] : s[e + 1 & 1]; { @@ -8936,38 +9196,38 @@ function yN(r, e, t10, o, n, s) { return a < s[0] ? s[0] : a > s[1] ? s[1] : a; } } -var RK = "4.2.0"; -var cl = class { +var Vj = "4.5.0"; +var Dl = class { static sgd(e) { - return new Pa(e); + return new ii(e); } static momentum(e, t10, o = false) { - return new wu(e, t10, o); + return new ep(e, t10, o); } static rmsprop(e, t10 = 0.9, o = 0, n = null, s = false) { - return new Iu(e, t10, o, n, s); + return new tp(e, t10, o, n, s); } static adam(e = 1e-3, t10 = 0.9, o = 0.999, n = null) { - return new Cu(e, t10, o, n); + return new Zu(e, t10, o, n); } static adadelta(e = 1e-3, t10 = 0.95, o = null) { - return new yu(e, t10, o); + return new Yu(e, t10, o); } static adamax(e = 2e-3, t10 = 0.9, o = 0.999, n = null, s = 0) { - return new Su(e, t10, o, n, s); + return new Ju(e, t10, o, n, s); } static adagrad(e, t10 = 0.1) { - return new bu(e, t10); + return new Qu(e, t10); } }; -var YMe = cl; -var DK = (() => typeof requestAnimationFrame != "undefined" ? requestAnimationFrame : typeof setImmediate != "undefined" ? setImmediate : (r) => r())(); -function AC() { - return new Promise((r) => DK(() => r())); +var CUe = Dl; +var Wj = (() => typeof requestAnimationFrame != "undefined" ? requestAnimationFrame : typeof setImmediate != "undefined" ? setImmediate : (r) => r())(); +function Kw() { + return new Promise((r) => Wj(() => r())); } -var S = {}; -Ge(S, { ERF_A1: () => YK, ERF_A2: () => QK, ERF_A3: () => ZK, ERF_A4: () => JK, ERF_A5: () => eq, ERF_P: () => XK, PARALLELIZE_THRESHOLD: () => Ud, RowPartitionType: () => js, SELU_SCALE: () => jK, SELU_SCALEALPHA: () => qK, applyActivation: () => gu, assertAndGetBroadcastShape: () => Je, assertAxesAreInnerMostDims: () => dU, assertParamsConsistent: () => FK, assignToTypedArray: () => aq, axesAreInnerMostDims: () => uC, calculateShapes: () => l1, checkEinsumDimSizes: () => mq, checkPadOnDimRoundingMode: () => Mt, combineLocations: () => Ov, combineRaggedTensorToTensorShapes: () => PK, complexWithEvenIndex: () => oq, complexWithOddIndex: () => nq, computeConv2DInfo: () => au, computeConv3DInfo: () => rv, computeDefaultPad: () => iC, computeDilation2DInfo: () => dW, computeOptimalWindowSize: () => VK, computeOutAndReduceShapes: () => mU, computeOutShape: () => OK, computePool2DInfo: () => aC, computePool3DInfo: () => fW, convertConv2DDataFormat: () => ov, decodeEinsumEquation: () => cq, eitherStridesOrDilationsAreOne: () => mr, expandShapeToKeepDim: () => Ea, exponent: () => uq, exponents: () => iq, fromStringArrayToUint8: () => Dq, fromUint8ToStringArray: () => Rq, getAxesPermutation: () => fU, getBroadcastDims: () => Ev, getComplexWithIndex: () => sq, getEinsumComputePath: () => dq, getEinsumPermutation: () => lq, getFusedBiasGradient: () => hu, getFusedDyActivation: () => fu, getImageCenter: () => zK, getInnerMostAxes: () => gU, getPermuted: () => UK, getRaggedRank: () => LK, getReductionAxes: () => Qm, getReshaped: () => WK, getReshapedPermuted: () => GK, getRowPartitionTypesHelper: () => MK, getSliceBeginCoords: () => HK, getSliceSize: () => KK, getSparseFillEmptyRowsIndicesDenseShapeMismatch: () => xq, getSparseFillEmptyRowsNegativeIndexErrorMessage: () => yq, getSparseFillEmptyRowsOutOfRangeIndexErrorMessage: () => bq, getSparseReshapeEmptyTensorZeroOutputDimErrorMessage: () => wq, getSparseReshapeInputOutputMismatchErrorMessage: () => vq, getSparseReshapeInputOutputMultipleErrorMessage: () => Iq, getSparseReshapeMultipleNegativeOneOutputDimErrorMessage: () => Cq, getSparseReshapeNegativeOutputDimErrorMessage: () => Sq, getSparseSegmentReductionIndicesOutOfRangeErrorMessage: () => _q, getSparseSegmentReductionNegativeSegmentIdsErrorMessage: () => kq, getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage: () => Nq, getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage: () => Tq, getUndoAxesPermutation: () => hU, isIdentityPermutation: () => fq, log: () => pz, mergeRealAndImagArrays: () => tq, prepareAndValidate: () => xN, prepareSplitSize: () => gq, segment_util: () => DC, shouldFuse: () => xu, slice_util: () => ut, splitRealAndImagArrays: () => rq, stridesOrDilationsArePositive: () => Vs, tupleValuesAreOne: () => su, upcastType: () => dt, validateDefaultValueShape: () => BK, validateInput: () => Dd, validateUpdateShape: () => bC, warn: () => Ps }); -function FK(r, e) { +var C = {}; +He(C, { ERF_A1: () => sX, ERF_A2: () => aX, ERF_A3: () => iX, ERF_A4: () => uX, ERF_A5: () => pX, ERF_P: () => nX, PARALLELIZE_THRESHOLD: () => nf, RowPartitionType: () => Ta, SELU_SCALE: () => oX, SELU_SCALEALPHA: () => rX, applyActivation: () => ju, assertAndGetBroadcastShape: () => rt, assertAxesAreInnerMostDims: () => yH, assertParamsConsistent: () => Uj, assignToTypedArray: () => hX, axesAreInnerMostDims: () => Iw, calculateShapes: () => v1, checkEinsumDimSizes: () => wX, checkPadOnDimRoundingMode: () => Lt, combineLocations: () => e2, combineRaggedTensorToTensorShapes: () => Hj, complexWithEvenIndex: () => mX, complexWithOddIndex: () => dX, computeConv2DInfo: () => Mu, computeConv3DInfo: () => bk, computeDefaultPad: () => Sw, computeDilation2DInfo: () => g4, computeOptimalWindowSize: () => Xj, computeOutAndReduceShapes: () => xH, computeOutShape: () => Gj, computePool2DInfo: () => ww, computePool3DInfo: () => x4, convertConv2DDataFormat: () => Ck, decodeEinsumEquation: () => bX, eitherStridesOrDilationsAreOne: () => gr, expandShapeToKeepDim: () => ti, exponent: () => xX, exponents: () => gX, fromStringArrayToUint8: () => WX, fromUint8ToStringArray: () => VX, getAxesPermutation: () => bH, getBroadcastDims: () => jk, getComplexWithIndex: () => fX, getEinsumComputePath: () => SX, getEinsumPermutation: () => CX, getFusedBiasGradient: () => qu, getFusedDyActivation: () => Ku, getImageCenter: () => Yj, getInnerMostAxes: () => wH, getPermuted: () => Zj, getRaggedRank: () => qj, getReductionAxes: () => fd, getReshaped: () => Qj, getReshapedPermuted: () => Jj, getRowPartitionTypesHelper: () => Kj, getSliceBeginCoords: () => eX, getSliceSize: () => tX, getSparseFillEmptyRowsIndicesDenseShapeMismatch: () => NX, getSparseFillEmptyRowsNegativeIndexErrorMessage: () => TX, getSparseFillEmptyRowsOutOfRangeIndexErrorMessage: () => _X, getSparseReshapeEmptyTensorZeroOutputDimErrorMessage: () => RX, getSparseReshapeInputOutputMismatchErrorMessage: () => AX, getSparseReshapeInputOutputMultipleErrorMessage: () => DX, getSparseReshapeMultipleNegativeOneOutputDimErrorMessage: () => $X, getSparseReshapeNegativeOutputDimErrorMessage: () => EX, getSparseSegmentReductionIndicesOutOfRangeErrorMessage: () => MX, getSparseSegmentReductionNegativeSegmentIdsErrorMessage: () => FX, getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage: () => PX, getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage: () => OX, getUndoAxesPermutation: () => CH, isIdentityPermutation: () => IX, log: () => mG, mergeRealAndImagArrays: () => cX, prepareAndValidate: () => LN, prepareSplitSize: () => kX, segment_util: () => jw, shouldFuse: () => Xu, slice_util: () => ct, splitRealAndImagArrays: () => lX, stridesOrDilationsArePositive: () => ba, tupleValuesAreOne: () => Ou, upcastType: () => dt, validateDefaultValueShape: () => jj, validateInput: () => mc, validateUpdateShape: () => Fw, warn: () => ha }); +function Uj(r, e) { let t10 = r[0].length; r.forEach((n, s) => { $(n.length === t10, () => `Error in concat${t10}D: rank of tensors[${s}] must be the same as the rank of the rest (${t10})`); @@ -8978,17 +9238,17 @@ function FK(r, e) { $(a === e || n[a] === o[a], () => `Error in concat${t10}D: Shape of tensors[${s}] (${n}) does not match the shape of the rest (${o}) along the non-concatenated axis ${s}.`); }); } -function OK(r, e) { +function Gj(r, e) { let t10 = r[0].slice(); for (let o = 1; o < r.length; o++) t10[e] += r[o][e]; return t10; } -var js; +var Ta; (function(r) { r[r.FIRST_DIM_SIZE = 0] = "FIRST_DIM_SIZE", r[r.VALUE_ROWIDS = 1] = "VALUE_ROWIDS", r[r.ROW_LENGTHS = 2] = "ROW_LENGTHS", r[r.ROW_SPLITS = 3] = "ROW_SPLITS", r[r.ROW_LIMITS = 4] = "ROW_LIMITS", r[r.ROW_STARTS = 5] = "ROW_STARTS"; -})(js || (js = {})); -function PK(r, e, t10) { +})(Ta || (Ta = {})); +function Hj(r, e, t10) { let o = new Array(); if (t10 == null && e == null) return o; @@ -9012,8 +9272,8 @@ function PK(r, e, t10) { } return o; } -function MK(r) { - let e = { FIRST_DIM_SIZE: js.FIRST_DIM_SIZE, VALUE_ROWIDS: js.VALUE_ROWIDS, ROW_LENGTHS: js.ROW_LENGTHS, ROW_SPLITS: js.ROW_SPLITS, ROW_LIMITS: js.ROW_LIMITS, ROW_STARTS: js.ROW_STARTS }, t10 = []; +function Kj(r) { + let e = { FIRST_DIM_SIZE: Ta.FIRST_DIM_SIZE, VALUE_ROWIDS: Ta.VALUE_ROWIDS, ROW_LENGTHS: Ta.ROW_LENGTHS, ROW_SPLITS: Ta.ROW_SPLITS, ROW_LIMITS: Ta.ROW_LIMITS, ROW_STARTS: Ta.ROW_STARTS }, t10 = []; for (let o of r) if (o in e) t10.push(e[o]); @@ -9021,10 +9281,10 @@ function MK(r) { break; return t10; } -function LK(r) { - return r.length === 0 ? 0 : r[0] === js.FIRST_DIM_SIZE ? r.length - 1 : r.length; +function qj(r) { + return r.length === 0 ? 0 : r[0] === Ta.FIRST_DIM_SIZE ? r.length - 1 : r.length; } -function BK(r, e) { +function jj(r, e) { if (r == null || e == null) return; let t10 = r.length, o = e.length; @@ -9036,15 +9296,15 @@ function BK(r, e) { throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${e} are incompatible: defaultValue.shape[${n - r.length}] = ${s} but ragged tensor input.flatValues.shape[${n - r.length}] = ${a}`); } } -var Ud = 30; -function VK(r) { - return r <= Ud ? r : cp(r, Math.floor(Math.sqrt(r))); +var nf = 30; +function Xj(r) { + return r <= nf ? r : Wp(r, Math.floor(Math.sqrt(r))); } -function zK(r, e, t10) { +function Yj(r, e, t10) { let o = t10 * (typeof r == "number" ? r : r[0]), n = e * (typeof r == "number" ? r : r[1]); return [o, n]; } -function WK(r, e, t10, o = true) { +function Qj(r, e, t10, o = true) { let n = []; if (o) n = n.concat(e.slice(0)), n.push(r[0] / t10), n = n.concat(r.slice(1)); @@ -9057,7 +9317,7 @@ function WK(r, e, t10, o = true) { } return n; } -function UK(r, e, t10 = true) { +function Zj(r, e, t10 = true) { let o = []; if (t10) { o.push(e); @@ -9071,34 +9331,34 @@ function UK(r, e, t10 = true) { } return o; } -function GK(r, e, t10, o = true) { +function Jj(r, e, t10, o = true) { let n = []; o ? n.push(r[0] / t10) : n.push(r[0] * t10); for (let s = 1; s < r.length; ++s) s <= e.length ? o ? n.push(e[s - 1] * r[s]) : n.push(r[s] / e[s - 1]) : n.push(r[s]); return n; } -function HK(r, e) { +function eX(r, e) { let t10 = [0]; for (let o = 0; o < e; ++o) t10.push(r[o][0]); return t10; } -function KK(r, e, t10) { +function tX(r, e, t10) { let o = r.slice(0, 1); for (let n = 0; n < t10; ++n) o.push(r[n + 1] - e[n][0] - e[n][1]); return o; } -var qK = 1.7580993408473768; -var jK = 1.0507009873554805; -var XK = 0.3275911; -var YK = 0.254829592; -var QK = -0.284496736; -var ZK = 1.421413741; -var JK = -1.453152027; -var eq = 1.061405429; -function tq(r, e) { +var rX = 1.7580993408473768; +var oX = 1.0507009873554805; +var nX = 0.3275911; +var sX = 0.254829592; +var aX = -0.284496736; +var iX = 1.421413741; +var uX = -1.453152027; +var pX = 1.061405429; +function cX(r, e) { if (r.length !== e.length) throw new Error(`Cannot merge real and imag arrays of different lengths. real:${r.length}, imag: ${e.length}.`); let t10 = new Float32Array(r.length * 2); @@ -9106,32 +9366,32 @@ function tq(r, e) { t10[o] = r[o / 2], t10[o + 1] = e[o / 2]; return t10; } -function rq(r) { +function lX(r) { let e = new Float32Array(r.length / 2), t10 = new Float32Array(r.length / 2); for (let o = 0; o < r.length; o += 2) e[o / 2] = r[o], t10[o / 2] = r[o + 1]; return { real: e, imag: t10 }; } -function oq(r) { +function mX(r) { let e = Math.ceil(r.length / 4), t10 = new Float32Array(e), o = new Float32Array(e); for (let n = 0; n < r.length; n += 4) t10[Math.floor(n / 4)] = r[n], o[Math.floor(n / 4)] = r[n + 1]; return { real: t10, imag: o }; } -function nq(r) { +function dX(r) { let e = Math.floor(r.length / 4), t10 = new Float32Array(e), o = new Float32Array(e); for (let n = 2; n < r.length; n += 4) t10[Math.floor(n / 4)] = r[n], o[Math.floor(n / 4)] = r[n + 1]; return { real: t10, imag: o }; } -function sq(r, e) { +function fX(r, e) { let t10 = r[e * 2], o = r[e * 2 + 1]; return { real: t10, imag: o }; } -function aq(r, e, t10, o) { +function hX(r, e, t10, o) { r[o * 2] = e, r[o * 2 + 1] = t10; } -function iq(r, e) { +function gX(r, e) { let t10 = new Float32Array(r / 2), o = new Float32Array(r / 2); for (let n = 0; n < Math.ceil(r / 2); n++) { let s = (e ? 2 : -2) * Math.PI * (n / r); @@ -9139,24 +9399,24 @@ function iq(r, e) { } return { real: t10, imag: o }; } -function uq(r, e, t10) { +function xX(r, e, t10) { let o = (t10 ? 2 : -2) * Math.PI * (r / e), n = Math.cos(o), s = Math.sin(o); return { real: n, imag: s }; } -var RC = "->"; -var pq = /->/g; -var TN = ","; -var _N = "..."; -function cq(r, e) { +var qw = "->"; +var yX = /->/g; +var jN = ","; +var XN = "..."; +function bX(r, e) { r = r.replace(/\s/g, ""); - let t10 = (r.length - r.replace(pq, "").length) / RC.length; + let t10 = (r.length - r.replace(yX, "").length) / qw.length; if (t10 < 1) throw new Error("Equations without an arrow are not supported."); if (t10 > 1) - throw new Error(`Equation must contain exactly one arrow ("${RC}").`); - let [o, n] = r.split(RC); - $(o.indexOf(_N) === -1, () => `The ellipsis notation ("${_N}") is not supported yet.`); - let s = o.split(TN), a = s.length; + throw new Error(`Equation must contain exactly one arrow ("${qw}").`); + let [o, n] = r.split(qw); + $(o.indexOf(XN) === -1, () => `The ellipsis notation ("${XN}") is not supported yet.`); + let s = o.split(jN), a = s.length; if (e !== a) throw new Error(`Expected ${a} input tensors, received ${e}`); if (a > 2) @@ -9170,7 +9430,7 @@ function cq(r, e) { } for (let m = 0; m < o.length; ++m) { let d = o[m]; - i.indexOf(d) === -1 && d !== TN && i.push(d); + i.indexOf(d) === -1 && d !== jN && i.push(d); } let p = new Array(s.length); for (let m = 0; m < a; ++m) { @@ -9185,7 +9445,7 @@ function cq(r, e) { l.push(m); return { allDims: i, summedDims: l, idDims: p }; } -function lq(r, e) { +function CX(r, e) { let t10 = new Array(r); t10.fill(-1); for (let n = 0; n < e.length; ++n) @@ -9195,7 +9455,7 @@ function lq(r, e) { t10[n] === -1 && o.push(n); return t10 = t10.filter((n) => n !== -1), { permutationIndices: t10, expandDims: o }; } -function mq(r, e, t10) { +function wX(r, e, t10) { let o = new Array(r); for (let n = 0; n < t10.length; ++n) { let s = t10[n].shape; @@ -9203,29 +9463,29 @@ function mq(r, e, t10) { o[e[n][a]] === void 0 ? o[e[n][a]] = s[a] : $(o[e[n][a]] === s[a], () => `Expected dimension ${o[e[n][a]]} at axis ${a} of input shaped ${JSON.stringify(s)}, but got dimension ${s[a]}`); } } -function dq(r, e) { +function SX(r, e) { let t10 = r, o = [], n = 0; r.length === 0 && t10.push(-1), n = r.length + 1; for (let a = 0; a < n; ++a) o.push([]); let s = []; for (let a = 0; a < t10.length; ++a) { - let i = t10[a], p = hq(e, i); + let i = t10[a], p = vX(e, i); for (let u of p) s.indexOf(u) === -1 && (o[a].push(u), s.push(u)); } return { path: t10, steps: o }; } -function fq(r) { +function IX(r) { return r.every((e, t10) => e === t10); } -function hq(r, e) { +function vX(r, e) { let t10 = []; for (let o = 0; o < r.length; ++o) (r[o].length === 0 || r[o].indexOf(e) !== -1 || e === -1) && t10.push(o); return t10; } -function gq(r, e, t10 = 0) { +function kX(r, e, t10 = 0) { let o = []; if (typeof e == "number") $(r.shape[t10] % e === 0, () => "Number of splits must evenly divide the axis."), o = new Array(e).fill(r.shape[t10] / e); @@ -9241,61 +9501,61 @@ function gq(r, e, t10 = 0) { } return o; } -function xq(r) { +function NX(r) { return `Received SparseTensor with denseShape[0] = 0 but indices.shape[0] = ${r}`; } -function yq(r, e) { +function TX(r, e) { return `indices(${r}, 0) is invalid: ${e} < 0`; } -function bq(r, e, t10) { +function _X(r, e, t10) { return `indices(${r}, 0) is invalid: ${e} >= ${t10}`; } -function Cq(r, e) { +function $X(r, e) { return `only one output dimension may be -1, not both ${r} and ${e}`; } -function Sq(r, e) { +function EX(r, e) { return `size ${r} must be non-negative, not ${e}`; } -function wq() { +function RX() { return "reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"; } -function Iq(r, e) { - let t10 = We(r), o = We(e); +function DX(r, e) { + let t10 = Ue(r), o = Ue(e); return `Input to reshape is a SparseTensor with ${t10} dense values, but the requested shape requires a multiple of ${o}. inputShape=${r} outputShape= ${e}`; } -function vq(r, e) { - let t10 = We(r), o = We(e); +function AX(r, e) { + let t10 = Ue(r), o = Ue(e); return `Input to reshape is a tensor with ${t10} dense values, but the requested shape has ${o}. inputShape=${r} outputShape=${e}`; } -function kq() { +function FX() { return "segment ids must be >= 0"; } -function Nq() { +function PX() { return "segment ids are not increasing"; } -function Tq(r, e) { +function OX(r, e) { return `Segment id ${r} out of range [0, ${e}), possibly because segmentIds input is not sorted.`; } -function _q(r, e, t10) { +function MX(r, e, t10) { return `Bad: indices[${r}] == ${e} out of range [0, ${t10})`; } -var DC = {}; -Ge(DC, { collectGatherOpShapeInfo: () => Aq, computeOutShape: () => Eq, segOpComputeOptimalWindowSize: () => $q }); -function $q(r, e) { +var jw = {}; +He(jw, { collectGatherOpShapeInfo: () => zX, computeOutShape: () => BX, segOpComputeOptimalWindowSize: () => LX }); +function LX(r, e) { let t10 = false, o; - for (r <= Ud ? (o = r, t10 = true) : o = cp(r, Math.floor(Math.sqrt(r))); !t10; ) - o > e || o === r ? t10 = true : o = cp(r, o + 1); + for (r <= nf ? (o = r, t10 = true) : o = Wp(r, Math.floor(Math.sqrt(r))); !t10; ) + o > e || o === r ? t10 = true : o = Wp(r, o + 1); return o; } -function Eq(r, e, t10) { +function BX(r, e, t10) { let o = [], n = r.length; for (let s = 0; s < n; s++) s !== e ? o.push(r[s]) : o.push(t10); return o; } -function Aq(r, e, t10, o) { +function zX(r, e, t10, o) { let n = e.shape.length, s = r.shape.length; if (o !== 0 && (o < -n || o > n)) throw new Error(`Expect batchDims in the range of [-${n}, ${n}], but got ${o}`); @@ -9318,87 +9578,103 @@ function Aq(r, e, t10, o) { i.push(r.shape[l]), c *= r.shape[l]; return { batchSize: p, sliceSize: c, outerSize: u, dimSize: a, outputShape: i }; } -function Rq(r) { +function VX(r) { try { - return r.map((e) => Rp(e)); + return r.map((e) => Jp(e)); } catch (e) { throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${e}`); } } -function Dq(r) { - return r.map((e) => Ii(e)); +function WX(r) { + return r.map((e) => Yi(e)); } -var Vt = {}; -Ge(Vt, { nonMaxSuppressionV3Impl: () => Pd, nonMaxSuppressionV4Impl: () => Md, nonMaxSuppressionV5Impl: () => Ld, whereImpl: () => Ad }); -nN(); -var Fq = O(); -Fq.registerFlag("KEEP_INTERMEDIATE_TENSORS", () => false, (r) => { +var Wt = {}; +He(Wt, { nonMaxSuppressionV3Impl: () => Yd, nonMaxSuppressionV4Impl: () => Qd, nonMaxSuppressionV5Impl: () => Zd, whereImpl: () => Kd }); +kN(); +var UX = P(); +UX.registerFlag("KEEP_INTERMEDIATE_TENSORS", () => false, (r) => { r && console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance."); }); -var ao; +var co; (function(r) { r[r.DT_INVALID = 0] = "DT_INVALID", r[r.DT_FLOAT = 1] = "DT_FLOAT", r[r.DT_DOUBLE = 2] = "DT_DOUBLE", r[r.DT_INT32 = 3] = "DT_INT32", r[r.DT_UINT8 = 4] = "DT_UINT8", r[r.DT_INT16 = 5] = "DT_INT16", r[r.DT_INT8 = 6] = "DT_INT8", r[r.DT_STRING = 7] = "DT_STRING", r[r.DT_COMPLEX64 = 8] = "DT_COMPLEX64", r[r.DT_INT64 = 9] = "DT_INT64", r[r.DT_BOOL = 10] = "DT_BOOL", r[r.DT_QINT8 = 11] = "DT_QINT8", r[r.DT_QUINT8 = 12] = "DT_QUINT8", r[r.DT_QINT32 = 13] = "DT_QINT32", r[r.DT_BFLOAT16 = 14] = "DT_BFLOAT16", r[r.DT_QINT16 = 15] = "DT_QINT16", r[r.DT_QUINT16 = 16] = "DT_QUINT16", r[r.DT_UINT16 = 17] = "DT_UINT16", r[r.DT_COMPLEX128 = 18] = "DT_COMPLEX128", r[r.DT_HALF = 19] = "DT_HALF", r[r.DT_RESOURCE = 20] = "DT_RESOURCE", r[r.DT_VARIANT = 21] = "DT_VARIANT", r[r.DT_UINT32 = 22] = "DT_UINT32", r[r.DT_UINT64 = 23] = "DT_UINT64", r[r.DT_FLOAT_REF = 101] = "DT_FLOAT_REF", r[r.DT_DOUBLE_REF = 102] = "DT_DOUBLE_REF", r[r.DT_INT32_REF = 103] = "DT_INT32_REF", r[r.DT_UINT8_REF = 104] = "DT_UINT8_REF", r[r.DT_INT16_REF = 105] = "DT_INT16_REF", r[r.DT_INT8_REF = 106] = "DT_INT8_REF", r[r.DT_STRING_REF = 107] = "DT_STRING_REF", r[r.DT_COMPLEX64_REF = 108] = "DT_COMPLEX64_REF", r[r.DT_INT64_REF = 109] = "DT_INT64_REF", r[r.DT_BOOL_REF = 110] = "DT_BOOL_REF", r[r.DT_QINT8_REF = 111] = "DT_QINT8_REF", r[r.DT_QUINT8_REF = 112] = "DT_QUINT8_REF", r[r.DT_QINT32_REF = 113] = "DT_QINT32_REF", r[r.DT_BFLOAT16_REF = 114] = "DT_BFLOAT16_REF", r[r.DT_QINT16_REF = 115] = "DT_QINT16_REF", r[r.DT_QUINT16_REF = 116] = "DT_QUINT16_REF", r[r.DT_UINT16_REF = 117] = "DT_UINT16_REF", r[r.DT_COMPLEX128_REF = 118] = "DT_COMPLEX128_REF", r[r.DT_HALF_REF = 119] = "DT_HALF_REF", r[r.DT_RESOURCE_REF = 120] = "DT_RESOURCE_REF", r[r.DT_VARIANT_REF = 121] = "DT_VARIANT_REF", r[r.DT_UINT32_REF = 122] = "DT_UINT32_REF", r[r.DT_UINT64_REF = 123] = "DT_UINT64_REF"; -})(ao || (ao = {})); -var $N; +})(co || (co = {})); +var YN; (function(r) { let e; (function(t10) { t10[t10.LEGACY = 0] = "LEGACY", t10[t10.V1 = 1] = "V1", t10[t10.V2 = 2] = "V2"; })(e = r.CheckpointFormatVersion || (r.CheckpointFormatVersion = {})); -})($N || ($N = {})); -var OC = {}; -function Pq(r, e) { +})(YN || (YN = {})); +var Yw = {}; +function HX(r, e) { let t10 = { tfOpName: r, category: "custom", inputs: [], attrs: [], customExecutor: e }; - OC[r] = t10; + Yw[r] = t10; } -function Gd(r) { - return OC[r]; +function sf(r) { + return Yw[r]; } -function Mq(r) { - delete OC[r]; +function KX(r) { + delete Yw[r]; } function I(r, e, t10, o, n) { let s = e.inputParams[r]; if (s && s.inputIndexStart !== void 0) { - let i = s.inputIndexStart, p = s.inputIndexEnd === 0 ? void 0 : s.inputIndexEnd === void 0 ? i + 1 : s.inputIndexEnd; + let i = s.inputIndexStart, p = s.inputIndexEnd === 0 ? void 0 : s.inputIndexEnd === void 0 ? i + 1 : s.inputIndexEnd, u = i < 0 ? e.inputNames.length + i : i; if (s.type === "tensor") - return Gt(e.inputNames[s.inputIndexStart], t10, o, n); - if (s.type === "tensors") - return e.inputNames.slice(i, p).map((m) => Gt(m, t10, o, n)); - let u = Gt(e.inputNames.slice(i)[0], t10, o, n), c = u.dataSync(); - return s.type === "number" ? c[0] : y.toNestedArray(u.shape, c); + return Bt(e.inputNames[u], t10, o, n); + if (s.type === "tensors") { + let m = e.inputs.slice(i, p); + return e.inputNames.slice(i, p).filter((f, h) => { + var g; + return ((g = m[h]) === null || g === void 0 ? void 0 : g.op) !== "NoOp"; + }).map((f) => Bt(f, t10, o, n)); + } + let c = Bt(e.inputNames[u], t10, o, n), l = c.dataSync(); + return s.type === "number" ? l[0] : y.toNestedArray(c.shape, l); } let a = e.attrParams[r]; return a && a.value; } -function Gt(r, e, t10, o) { - let [n, s] = Ir(r); +function Bt(r, e, t10, o) { + let [n, s] = Nr(r, t10); if (o != null) { let i = o.getHashTableHandleByName(n); if (i != null) return i; } - let a = t10.currentContextIds.find((i) => !!e[Hd(n, i)]); - return a !== void 0 ? e[Hd(n, a)][s] : void 0; + let a = t10.currentContextIds.find((i) => !!e[af(n, i)]); + return a !== void 0 ? e[af(n, a)][s] : void 0; } -function EN(r, e, t10) { - return e[Hd(r, t10.currentContextId)]; +function Qw(r, e, t10) { + return e[af(r, t10.currentContextId)]; } -function as(r, e) { - let [t10, o, n] = Ir(r); - return [Hd(t10, e && e.currentContextId), o, n]; +function Ds(r, e) { + let [t10, o, n] = Nr(r, e); + return [af(t10, e && e.currentContextId), o, n]; } -function Hd(r, e) { +function af(r, e) { return e ? `${r}-${e}` : r; } -function Ir(r) { - let e = r.split(":"); - if (e.length === 1) - return [r, 0, void 0]; - let t10 = e[0], o = e.length === 3 ? e[1] : void 0, n = Number(e[e.length - 1]); - return [t10, n, o]; +function Nr(r, e) { + if (r === "") + return ["", 0, void 0]; + let t10 = e != null && e.parseNodeNameCache != null; + if (t10) { + let s = e.parseNodeNameCache.get(r); + if (s != null) + return s; + } + let o = r.split(":"), n; + if (o.length === 1) + n = [r, 0, void 0]; + else { + let s = o[0], a = o.length === 3 ? o[1] : void 0, i = Number(o[o.length - 1]); + n = [s, i, a]; + } + return t10 && e.parseNodeNameCache.set(r, n), n; } -function ll(r, e, t10) { +function Al(r, e, t10) { let o = I("pad", r, e, t10); if (o === "explicit") { o = I("explicitPaddings", r, e, t10); @@ -9409,74 +9685,74 @@ function ll(r, e, t10) { } return o; } -function is(r) { - return r.kept ? r : Lr(r); +function As(r) { + return r.kept ? r : Vr(r); } -var PC = {}; -Ge(PC, { json: () => Lq }); -var Lq = [{ tfOpName: "Add", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AddV2", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AddN", category: "arithmetic", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }] }, { tfOpName: "BiasAdd", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "Sub", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "RealDiv", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Div", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "DivNoNan", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "FloorDiv", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Mul", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Maximum", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Minimum", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Pow", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SquaredDifference", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Mod", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "FloorMod", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; -var MC = {}; -Ge(MC, { json: () => Bq }); -var Bq = [{ tfOpName: "Abs", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Acos", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Asin", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atan2", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "y", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Ceil", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ClipByValue", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "clipValueMin", type: "number" }, { start: 2, name: "clipValueMax", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Complex", category: "basic_math", inputs: [{ start: 0, name: "real", type: "tensor" }, { start: 1, name: "imag", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ComplexAbs", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Cos", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Cosh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Elu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Exp", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Floor", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Log", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Imag", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "Tout", name: "outputType", type: "dtype", notSupported: true }] }, { tfOpName: "Neg", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Real", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "Tout", name: "outputType", type: "dtype", notSupported: true }] }, { tfOpName: "Prelu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "alpha", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Relu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Relu6", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Selu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sigmoid", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sin", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sinh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sqrt", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Rsqrt", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Square", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Tan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Tanh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sign", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Round", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Expm1", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Log1p", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Reciprocal", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Softplus", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Asinh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Acosh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atanh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Erf", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Prod", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axes", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool", notSupported: true }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LeakyRelu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "alpha", name: "alpha", type: "number", defaultValue: 0.2 }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "IsNan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; -var LC = {}; -Ge(LC, { json: () => Vq }); -var Vq = [{ tfOpName: "EmptyTensorList", category: "control", inputs: [{ start: 0, name: "elementShape", type: "shape" }, { start: 1, name: "maxNumElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "LoopCond", category: "control", inputs: [{ start: 0, name: "pred", type: "tensor" }] }, { tfOpName: "Switch", category: "control", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "pred", type: "tensor" }] }, { tfOpName: "Merge", category: "control", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }] }, { tfOpName: "Enter", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "frame_name", name: "frameName", type: "string" }, { tfName: "is_constant", name: "isConstant", type: "bool" }] }, { tfOpName: "Exit", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "NextIteration", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayV3", category: "control", inputs: [{ start: 0, name: "size", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "dynamic_size", name: "dynamicSize", type: "bool" }, { tfName: "clear_after_read", name: "clearAfterRead", type: "bool" }, { tfName: "identical_element_shapes", name: "identicalElementShapes", type: "bool" }, { tfName: "tensor_array_name", name: "name", type: "string" }] }, { tfOpName: "TensorArrayWriteV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "tensor", type: "tensor" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayReadV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayGatherV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape", name: "elementShape", type: "shape" }] }, { tfOpName: "TensorArrayScatterV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "tensor", type: "tensor" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "TensorArrayConcatV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape_except0", name: "elementShapeExcept0", type: "shape", notSupported: true }] }, { tfOpName: "TensorArraySplitV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "tensor", type: "tensor" }, { start: 2, name: "lengths", type: "number[]" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "TensorArraySizeV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "flowIn", type: "number" }] }, { tfOpName: "TensorArrayCloseV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }] }, { tfOpName: "StatelessIf", category: "control", inputs: [{ start: 0, name: "cond", type: "tensor" }, { start: 1, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "then_branch", name: "thenBranch", type: "func" }, { tfName: "else_branch", name: "elseBranch", type: "func" }] }, { tfOpName: "If", category: "control", inputs: [{ start: 0, name: "cond", type: "tensor" }, { start: 1, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "then_branch", name: "thenBranch", type: "func" }, { tfName: "else_branch", name: "elseBranch", type: "func" }] }, { tfOpName: "StatelessWhile", category: "control", inputs: [{ start: 0, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "cond", name: "cond", type: "func" }, { tfName: "body", name: "body", type: "func" }] }, { tfOpName: "While", category: "control", inputs: [{ start: 0, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "cond", name: "cond", type: "func" }, { tfName: "body", name: "body", type: "func" }] }, { tfOpName: "TensorListScatter", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListScatterV2", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }, { start: 3, name: "numElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListGather", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListGetItem", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListSetItem", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "tensor", type: "tensor" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListReserve", category: "control", inputs: [{ start: 0, name: "elementShape", type: "shape" }, { start: 1, name: "numElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListFromTensor", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListStack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }, { tfName: "num_elements", name: "numElements", type: "dtype" }] }, { tfOpName: "TensorListSplit", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }, { start: 2, name: "lengths", type: "number[]" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListConcat", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }], attrs: [{ tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListConcatV2", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }], attrs: [{ tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListPopBack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListPushBack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "tensor", type: "tensor" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListLength", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }] }, { tfOpName: "TensorListResize", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "size", type: "number" }] }]; -var BC = {}; -Ge(BC, { json: () => zq }); -var zq = [{ tfOpName: "AvgPool", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPool", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [], notSupported: true }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPoolWithArgmax", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "include_batch_in_index", name: "includeBatchInIndex", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AvgPool3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPool3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Conv1D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "stride", name: "stride", type: "number" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NWC" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "dilation", name: "dilation", type: "number", defaultValue: 1 }] }, { tfOpName: "Conv2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "useCudnnOnGpu", name: "useCudnnOnGpu", type: "bool" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "_FusedConv2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "use_cudnn_on_gpu", name: "useCudnnOnGpu", type: "bool", defaultValue: true }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]", defaultValue: [1, 1, 1, 1] }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-4 }, { tfName: "leakyrelu_alpha", name: "leakyreluAlpha", type: "number", defaultValue: 0.2 }] }, { tfOpName: "Conv2DBackpropInput", category: "convolution", inputs: [{ start: 2, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 0, name: "outputShape", type: "number[]" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]", notSupported: true }] }, { tfOpName: "DepthwiseConv2d", category: "convolution", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "DepthwiseConv2dNative", category: "convolution", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "FusedDepthwiseConv2dNative", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]", defaultValue: [1, 1, 1, 1] }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }] }, { tfOpName: "Conv3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "Dilation2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "rates", name: "dilations", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }] }]; -var VC = {}; -Ge(VC, { json: () => Wq }); -var Wq = [{ tfOpName: "Fill", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }, { start: 1, name: "value", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "LinSpace", category: "creation", inputs: [{ start: 0, name: "start", type: "number" }, { start: 1, name: "stop", type: "number" }, { start: 2, name: "num", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "OneHot", category: "creation", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "depth", type: "number" }, { start: 2, name: "onValue", type: "number", defaultValue: 1 }, { start: 3, name: "offValue", type: "number", defaultValue: 0 }], attrs: [{ tfName: "axis", name: "axis", type: "number", notSupported: true }, { tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "Ones", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "OnesLike", category: "creation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "RandomStandardNormal", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "seed", name: "seed", type: "number", defaultValue: 0 }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "RandomUniform", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "minval", name: "minval", type: "number", defaultValue: 0 }, { tfName: "maxval", name: "maxval", type: "number", defaultValue: 1 }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "seed", name: "seed", type: "number", defaultValue: 0 }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "Range", category: "creation", inputs: [{ start: 0, name: "start", type: "number" }, { start: 1, name: "stop", type: "number" }, { start: 2, name: "step", type: "number", defaultValue: 0 }], attrs: [{ tfName: "Tidx", name: "dtype", type: "dtype" }] }, { tfOpName: "TruncatedNormal", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "means", name: "mean", type: "number", defaultValue: 0 }, { tfName: "stddev", name: "stdDev", type: "number", defaultValue: 1 }, { tfName: "seed", name: "seed", type: "number" }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "Zeros", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "ZerosLike", category: "creation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "Multinomial", category: "creation", inputs: [{ start: 0, name: "logits", type: "tensor" }, { start: 1, name: "numSamples", type: "number" }], attrs: [{ tfName: "seed", name: "seed", type: "number" }, { tfName: "seed2", name: "seed2", type: "number" }, { tfName: "T", name: "dtype", type: "dtype" }, { tfName: "output_dtype", name: "output_dtype", type: "dtype" }] }]; -var zC = {}; -Ge(zC, { json: () => Uq }); -var Uq = [{ tfOpName: "NonMaxSuppressionV2", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }] }, { tfOpName: "NonMaxSuppressionV3", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }] }, { tfOpName: "NonMaxSuppressionV4", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "T_threshold", name: "threshold", type: "dtype", notSupported: true }, { tfName: "pad_to_max_output_size", name: "padToMaxOutputSize", type: "bool" }] }, { tfOpName: "NonMaxSuppressionV5", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }, { start: 5, name: "softNmsSigma", type: "number" }] }, { tfOpName: "Where", category: "dynamic", inputs: [{ start: 0, name: "condition", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ListDiff", category: "dynamic", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "y", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; -var WC = {}; -Ge(WC, { json: () => Gq }); -var Gq = [{ tfOpName: "LowerBound", category: "evaluation", inputs: [{ start: 0, name: "sortedSequence", type: "tensor" }, { start: 1, name: "values", type: "tensor" }] }, { tfOpName: "TopKV2", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "k", type: "number" }], attrs: [{ tfName: "sorted", name: "sorted", type: "bool" }] }, { tfOpName: "UpperBound", category: "evaluation", inputs: [{ start: 0, name: "sortedSequence", type: "tensor" }, { start: 1, name: "values", type: "tensor" }] }, { tfOpName: "Unique", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "UniqueV2", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }]; -var UC = {}; -Ge(UC, { json: () => Hq }); -var Hq = [{ tfOpName: "PlaceholderWithDefault", category: "graph", inputs: [{ start: 0, name: "default", type: "tensor" }], attrs: [{ tfName: "shape", name: "shape", type: "shape" }, { tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "Placeholder", category: "graph", attrs: [{ tfName: "shape", name: "shape", type: "shape" }, { tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "Const", category: "graph" }, { tfOpName: "Identity", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "IdentityN", category: "graph", inputs: [{ start: 0, end: 0, name: "x", type: "tensors" }] }, { tfOpName: "Snapshot", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Rank", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Size", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Shape", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "ShapeN", category: "graph", inputs: [{ start: 0, end: 0, name: "x", type: "tensors" }] }, { tfOpName: "Print", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "data", type: "tensors" }], attrs: [{ tfName: "message", name: "message", type: "string" }, { tfName: "first_n", name: "firstN", type: "number", notSupported: true }, { tfName: "summarize", name: "summarize", type: "number", defaultValue: 3 }] }, { tfOpName: "NoOp", category: "graph", inputs: [] }, { tfOpName: "StopGradient", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "FakeQuantWithMinMaxVars", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "min", name: "min", type: "number" }, { tfName: "max", name: "max", type: "number" }] }]; -var GC = {}; -Ge(GC, { json: () => Kq }); -var Kq = [{ tfOpName: "HashTable", category: "hash_table", inputs: [], attrs: [{ tfName: "shared_name", name: "sharedName", type: "string" }, { tfName: "use_node_name_sharing", name: "useNodeNameSharing", type: "bool" }, { tfName: "key_dtype", name: "keyDType", type: "dtype" }, { tfName: "value_dtype", name: "valueDType", type: "dtype" }] }, { tfOpName: "HashTableV2", category: "hash_table", inputs: [], attrs: [{ tfName: "shared_name", name: "sharedName", type: "string" }, { tfName: "use_node_name_sharing", name: "useNodeNameSharing", type: "bool" }, { tfName: "key_dtype", name: "keyDType", type: "dtype" }, { tfName: "value_dtype", name: "valueDType", type: "dtype" }] }, { tfOpName: "LookupTableImport", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableImportV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableFind", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableFindV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableSize", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }] }, { tfOpName: "LookupTableSizeV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }] }, { tfOpName: "InitializeTable", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }] }, { tfOpName: "InitializeTableV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }] }]; -var HC = {}; -Ge(HC, { json: () => qq }); -var qq = [{ tfOpName: "ResizeBilinear", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "size", type: "number[]" }], attrs: [{ tfName: "align_corners", name: "alignCorners", type: "bool" }, { tfName: "half_pixel_centers", name: "halfPixelCenters", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ResizeNearestNeighbor", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "size", type: "number[]" }], attrs: [{ tfName: "align_corners", name: "alignCorners", type: "bool" }, { tfName: "half_pixel_centers", name: "halfPixelCenters", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "CropAndResize", category: "image", inputs: [{ start: 0, name: "image", type: "tensor" }, { start: 1, name: "boxes", type: "tensor" }, { start: 2, name: "boxInd", type: "tensor" }, { start: 3, name: "cropSize", type: "number[]" }], attrs: [{ tfName: "method", name: "method", type: "string" }, { tfName: "extrapolation_value", name: "extrapolationValue", type: "number" }] }, { tfOpName: "ImageProjectiveTransformV3", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "transforms", type: "tensor" }, { start: 2, name: "outputShape", type: "number[]" }, { start: 3, name: "fillValue", type: "number" }], attrs: [{ tfName: "interpolation", name: "interpolation", type: "string" }, { tfName: "fill_mode", name: "fillMode", type: "string" }] }]; -var KC = {}; -Ge(KC, { json: () => jq }); -var jq = [{ tfOpName: "Equal", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "NotEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Greater", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "GreaterEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Less", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LessEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalAnd", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalNot", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalOr", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Select", category: "logical", inputs: [{ start: 0, name: "condition", type: "tensor" }, { start: 1, name: "a", type: "tensor" }, { start: 2, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SelectV2", category: "logical", inputs: [{ start: 0, name: "condition", type: "tensor" }, { start: 1, name: "a", type: "tensor" }, { start: 2, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; -var qC = {}; -Ge(qC, { json: () => Xq }); -var Xq = [{ tfOpName: "_FusedMatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-4 }, { tfName: "transpose_a", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "transpose_b", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "leakyrelu_alpha", name: "leakyreluAlpha", type: "number", defaultValue: 0.2 }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "transpose_a", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "transpose_b", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "BatchMatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "adj_x", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "adj_y", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "BatchMatMulV2", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "adj_x", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "adj_y", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Transpose", category: "matrices", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "perm", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Einsum", category: "matrices", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }], attrs: [{ tfName: "equation", name: "equation", type: "string" }, { tfName: "N", name: "n", type: "number", defaultValue: 2 }, { tfName: "T", name: "dtype", type: "dtype" }] }]; -var jC = {}; -Ge(jC, { json: () => Yq }); -var Yq = [{ tfOpName: "EuclideanNorm", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool", defaultValue: false }] }, { tfOpName: "FusedBatchNorm", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "FusedBatchNormV2", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "FusedBatchNormV3", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "LRN", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "depth_radius", name: "radius", type: "number", defaultValue: 5 }, { tfName: "bias", name: "bias", type: "number", defaultValue: 1 }, { tfName: "alpha", name: "alpha", type: "number", defaultValue: 1 }, { tfName: "beta", name: "beta", type: "number", defaultValue: 0.5 }] }, { tfOpName: "Softmax", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "LogSoftmax", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "SparseToDense", category: "normalization", inputs: [{ start: 0, name: "sparseIndices", type: "tensor" }, { start: 1, name: "outputShape", type: "number[]" }, { start: 2, name: "sparseValues", type: "tensor" }, { start: 3, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "validate_indices", name: "validateIndices", type: "bool", defaultValue: true, notSupported: true }] }]; -var XC = {}; -Ge(XC, { json: () => Qq }); -var Qq = [{ tfOpName: "Bincount", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "size", type: "number" }, { start: 2, name: "weights", type: "tensor" }] }, { tfOpName: "DenseBincount", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "size", type: "number" }, { start: 2, name: "weights", type: "tensor" }], attrs: [{ tfName: "binary_output", name: "binaryOutput", type: "bool" }] }, { tfOpName: "Max", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Mean", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Min", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Sum", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "All", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Any", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "ArgMax", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "ArgMin", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "Prod", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Cumprod", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }], attrs: [{ tfName: "exclusive", name: "exclusive", type: "bool" }, { tfName: "reverse", name: "reverse", type: "bool" }] }, { tfOpName: "Cumsum", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }], attrs: [{ tfName: "exclusive", name: "exclusive", type: "bool" }, { tfName: "reverse", name: "reverse", type: "bool" }] }]; -var YC = {}; -Ge(YC, { json: () => Zq }); -var Zq = [{ tfOpName: "ConcatV2", category: "slice_join", inputs: [{ start: 0, end: -1, name: "tensors", type: "tensors" }, { start: -1, name: "axis", type: "number" }], attrs: [{ tfName: "N", name: "n", type: "number", defaultValue: 2 }] }, { tfOpName: "Concat", category: "slice_join", inputs: [{ start: 1, end: 0, name: "tensors", type: "tensors" }, { start: 0, name: "axis", type: "number" }], attrs: [{ tfName: "N", name: "n", type: "number", defaultValue: 2 }] }, { tfOpName: "GatherV2", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "axis", type: "number", defaultValue: 0 }], attrs: [{ tfName: "batch_dims", name: "batchDims", type: "number", defaultValue: 0 }] }, { tfOpName: "Gather", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }], attrs: [{ tfName: "validate_indices", name: "validateIndices", type: "bool", notSupported: true }] }, { tfOpName: "Reverse", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "dims", type: "bool[]" }] }, { tfOpName: "ReverseV2", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }] }, { tfOpName: "Slice", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "begin", type: "number[]" }, { start: 2, name: "size", type: "number[]" }] }, { tfOpName: "StridedSlice", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "begin", type: "number[]" }, { start: 2, name: "end", type: "number[]" }, { start: 3, name: "strides", type: "number[]" }], attrs: [{ tfName: "begin_mask", name: "beginMask", type: "number", defaultValue: 0 }, { tfName: "end_mask", name: "endMask", type: "number", defaultValue: 0 }, { tfName: "new_axis_mask", name: "newAxisMask", type: "number", defaultValue: 0 }, { tfName: "ellipsis_mask", name: "ellipsisMask", type: "number", defaultValue: 0 }, { tfName: "shrink_axis_mask", name: "shrinkAxisMask", type: "number", defaultValue: 0 }] }, { tfOpName: "Pack", category: "slice_join", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }], attrs: [{ tfName: "axis", name: "axis", type: "number", defaultValue: 0 }] }, { tfOpName: "Unpack", category: "slice_join", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "axis", name: "axis", type: "number", defaultValue: 0 }, { tfName: "num", name: "num", type: "number", defaultValue: 0, notSupported: true }] }, { tfOpName: "Tile", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "reps", type: "number[]" }] }, { tfOpName: "Split", category: "slice_join", inputs: [{ start: 0, name: "axis", type: "number", defaultValue: 0 }, { start: 1, name: "x", type: "tensor" }], attrs: [{ tfName: "num_split", name: "numOrSizeSplits", type: "number", defaultValue: 1 }] }, { tfOpName: "SplitV", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "numOrSizeSplits", type: "number[]" }, { start: 2, name: "axis", type: "number", defaultValue: 0 }] }, { tfOpName: "ScatterNd", category: "slice_join", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "values", type: "tensor" }, { start: 2, name: "shape", type: "number[]" }] }, { tfOpName: "GatherNd", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }] }, { tfOpName: "SparseToDense", category: "slice_join", inputs: [{ start: 0, name: "sparseIndices", type: "tensor" }, { start: 1, name: "outputShape", type: "number[]" }, { start: 2, name: "sparseValues", type: "tensor" }, { start: 3, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "validate_indices", name: "validateIndices", type: "bool", defaultValue: false, notSupported: true }] }]; -var QC = {}; -Ge(QC, { json: () => Jq }); -var Jq = [{ tfOpName: "SparseFillEmptyRows", category: "sparse", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "values", type: "tensor" }, { start: 2, name: "denseShape", type: "tensor" }, { start: 3, name: "defaultValue", type: "tensor" }] }, { tfOpName: "SparseReshape", category: "sparse", inputs: [{ start: 0, name: "inputIndices", type: "tensor" }, { start: 1, name: "inputShape", type: "tensor" }, { start: 2, name: "newShape", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SparseSegmentMean", category: "sparse", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "segmentIds", type: "tensor" }] }, { tfOpName: "SparseSegmentSum", category: "sparse", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "segmentIds", type: "tensor" }] }]; -var ZC = {}; -Ge(ZC, { json: () => e6 }); -var e6 = [{ tfOpName: "FFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "IFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "RFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "fft_length", type: "number", notSupported: true }] }, { tfOpName: "IRFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "fft_length", type: "number", notSupported: true }] }]; -var JC = {}; -Ge(JC, { json: () => t6 }); -var t6 = [{ tfOpName: "StringNGrams", category: "string", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "dataSplits", type: "tensor" }], attrs: [{ tfName: "separator", name: "separator", type: "string" }, { tfName: "ngram_widths", name: "nGramWidths", type: "number[]" }, { tfName: "left_pad", name: "leftPad", type: "string" }, { tfName: "right_pad", name: "rightPad", type: "string" }, { tfName: "pad_width", name: "padWidth", type: "number" }, { tfName: "preserve_short_sequences", name: "preserveShortSequences", type: "bool" }], outputs: ["ngrams", "ngrams_splits"] }, { tfOpName: "StringSplit", category: "string", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "delimiter", type: "tensor" }], attrs: [{ tfName: "skip_empty", name: "skipEmpty", type: "bool" }], outputs: ["indices", "values", "shape"] }, { tfOpName: "StringToHashBucketFast", category: "string", inputs: [{ start: 0, name: "input", type: "tensor" }], attrs: [{ tfName: "num_buckets", name: "numBuckets", type: "number" }] }]; +var Zw = {}; +He(Zw, { json: () => qX }); +var qX = [{ tfOpName: "Add", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AddV2", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AddN", category: "arithmetic", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }] }, { tfOpName: "BiasAdd", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "Sub", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "RealDiv", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Div", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "DivNoNan", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "FloorDiv", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Mul", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Maximum", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Minimum", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Pow", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SquaredDifference", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Mod", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "FloorMod", category: "arithmetic", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; +var Jw = {}; +He(Jw, { json: () => jX }); +var jX = [{ tfOpName: "Abs", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Acos", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Asin", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atan2", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "y", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Ceil", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ClipByValue", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "clipValueMin", type: "number" }, { start: 2, name: "clipValueMax", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Complex", category: "basic_math", inputs: [{ start: 0, name: "real", type: "tensor" }, { start: 1, name: "imag", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ComplexAbs", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Cos", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Cosh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Elu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Exp", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Floor", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Log", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Imag", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "Tout", name: "outputType", type: "dtype", notSupported: true }] }, { tfOpName: "Neg", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Real", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "Tout", name: "outputType", type: "dtype", notSupported: true }] }, { tfOpName: "Prelu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "alpha", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Relu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Relu6", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Selu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sigmoid", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sin", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sinh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sqrt", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Rsqrt", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Square", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Tan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Tanh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Sign", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Round", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Expm1", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Log1p", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Reciprocal", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Softplus", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Asinh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Acosh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Atanh", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Erf", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LeakyRelu", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "alpha", name: "alpha", type: "number", defaultValue: 0.2 }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "IsNan", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "IsFinite", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "IsInf", category: "basic_math", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; var eS = {}; -Ge(eS, { json: () => r6 }); -var r6 = [{ tfOpName: "Cast", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "SrcT", name: "sdtype", type: "dtype", notSupported: true }, { tfName: "DstT", name: "dtype", type: "dtype" }] }, { tfOpName: "ExpandDims", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "MirrorPad", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }], attrs: [{ tfName: "mode", name: "mode", type: "string" }] }, { tfOpName: "Pad", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }], attrs: [{ tfName: "constant_value", name: "constantValue", type: "number", defaultValue: 0 }] }, { tfOpName: "PadV2", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }, { start: 2, name: "constantValue", type: "number", defaultValue: 0 }] }, { tfOpName: "Reshape", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "shape", type: "number[]" }] }, { tfOpName: "Squeeze", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "axis", tfDeprecatedName: "squeeze_dims", name: "axis", type: "number[]" }] }, { tfOpName: "SpaceToBatchND", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "blockShape", type: "number[]" }, { start: 2, name: "paddings", type: "number[]" }] }, { tfOpName: "BatchToSpaceND", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "blockShape", type: "number[]" }, { start: 2, name: "crops", type: "number[]" }] }, { tfOpName: "DepthToSpace", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "block_size", name: "blockSize", type: "number" }, { tfName: "data_format", name: "dataFormat", type: "string" }] }, { tfOpName: "BroadcastTo", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "shape", type: "number[]" }], attrs: [] }, { tfOpName: "BroadcastArgs", category: "transformation", inputs: [{ start: 0, name: "s0", type: "tensor" }, { start: 1, name: "s1", type: "tensor" }], attrs: [] }]; -var ml = class { - constructor() { - let e = [PC, MC, LC, BC, VC, zC, WC, UC, GC, HC, KC, qC, jC, XC, YC, QC, ZC, JC, eS], t10 = [].concat(...e.map((o) => o.json)); - this.opMappers = t10.reduce((o, n) => (o[n.tfOpName] = n, o), {}); - } +He(eS, { json: () => XX }); +var XX = [{ tfOpName: "EmptyTensorList", category: "control", inputs: [{ start: 0, name: "elementShape", type: "shape" }, { start: 1, name: "maxNumElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "LoopCond", category: "control", inputs: [{ start: 0, name: "pred", type: "tensor" }] }, { tfOpName: "Switch", category: "control", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "pred", type: "tensor" }] }, { tfOpName: "Merge", category: "control", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }] }, { tfOpName: "Enter", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "frame_name", name: "frameName", type: "string" }, { tfName: "is_constant", name: "isConstant", type: "bool" }] }, { tfOpName: "Exit", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "NextIteration", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayV3", category: "control", inputs: [{ start: 0, name: "size", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "dynamic_size", name: "dynamicSize", type: "bool" }, { tfName: "clear_after_read", name: "clearAfterRead", type: "bool" }, { tfName: "identical_element_shapes", name: "identicalElementShapes", type: "bool" }, { tfName: "tensor_array_name", name: "name", type: "string" }] }, { tfOpName: "TensorArrayWriteV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "tensor", type: "tensor" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayReadV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "TensorArrayGatherV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape", name: "elementShape", type: "shape" }] }, { tfOpName: "TensorArrayScatterV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "tensor", type: "tensor" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "TensorArrayConcatV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "flowIn", type: "number" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "element_shape_except0", name: "elementShapeExcept0", type: "shape", notSupported: true }] }, { tfOpName: "TensorArraySplitV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "tensor", type: "tensor" }, { start: 2, name: "lengths", type: "number[]" }, { start: 3, name: "flowIn", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "TensorArraySizeV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }, { start: 1, name: "flowIn", type: "number" }] }, { tfOpName: "TensorArrayCloseV3", category: "control", inputs: [{ start: 0, name: "tensorArrayId", type: "tensor" }] }, { tfOpName: "StatelessIf", category: "control", inputs: [{ start: 0, name: "cond", type: "tensor" }, { start: 1, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "then_branch", name: "thenBranch", type: "func" }, { tfName: "else_branch", name: "elseBranch", type: "func" }] }, { tfOpName: "If", category: "control", inputs: [{ start: 0, name: "cond", type: "tensor" }, { start: 1, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "then_branch", name: "thenBranch", type: "func" }, { tfName: "else_branch", name: "elseBranch", type: "func" }] }, { tfOpName: "StatelessWhile", category: "control", inputs: [{ start: 0, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "cond", name: "cond", type: "func" }, { tfName: "body", name: "body", type: "func" }] }, { tfOpName: "While", category: "control", inputs: [{ start: 0, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "cond", name: "cond", type: "func" }, { tfName: "body", name: "body", type: "func" }] }, { tfOpName: "TensorListScatter", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListScatterV2", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }, { start: 3, name: "numElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListGather", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "indices", type: "number[]" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListGetItem", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListSetItem", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "index", type: "number" }, { start: 2, name: "tensor", type: "tensor" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListReserve", category: "control", inputs: [{ start: 0, name: "elementShape", type: "shape" }, { start: 1, name: "numElements", type: "number" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListFromTensor", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListStack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }, { tfName: "num_elements", name: "numElements", type: "dtype" }] }, { tfOpName: "TensorListSplit", category: "control", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }, { start: 2, name: "lengths", type: "number[]" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListConcat", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }], attrs: [{ tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListConcatV2", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }], attrs: [{ tfName: "element_shape", name: "elementShape", type: "shape" }, { tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListPopBack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "elementShape", type: "shape" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListPushBack", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "tensor", type: "tensor" }], attrs: [{ tfName: "element_dtype", name: "elementDType", type: "dtype" }] }, { tfOpName: "TensorListLength", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }] }, { tfOpName: "TensorListResize", category: "control", inputs: [{ start: 0, name: "tensorListId", type: "tensor" }, { start: 1, name: "size", type: "number" }] }]; +var tS = {}; +He(tS, { json: () => YX }); +var YX = [{ tfOpName: "AvgPool", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPool", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [], notSupported: true }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPoolWithArgmax", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "include_batch_in_index", name: "includeBatchInIndex", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "AvgPool3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MaxPool3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "ksize", name: "kernelSize", type: "number[]" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Conv1D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "stride", name: "stride", type: "number" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NWC" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "dilation", name: "dilation", type: "number", defaultValue: 1 }] }, { tfOpName: "Conv2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "useCudnnOnGpu", name: "useCudnnOnGpu", type: "bool" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "_FusedConv2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "use_cudnn_on_gpu", name: "useCudnnOnGpu", type: "bool", defaultValue: true }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]", defaultValue: [1, 1, 1, 1] }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-4 }, { tfName: "leakyrelu_alpha", name: "leakyreluAlpha", type: "number", defaultValue: 0.2 }] }, { tfOpName: "Conv2DBackpropInput", category: "convolution", inputs: [{ start: 2, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 0, name: "outputShape", type: "number[]" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]", notSupported: true }] }, { tfOpName: "DepthwiseConv2d", category: "convolution", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "DepthwiseConv2dNative", category: "convolution", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "FusedDepthwiseConv2dNative", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]", defaultValue: [1, 1, 1, 1] }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "explicit_paddings", name: "explicitPaddings", type: "number[]", defaultValue: [] }] }, { tfOpName: "Conv3D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }, { tfName: "data_format", name: "dataFormat", type: "string", defaultValue: "NHWC" }, { tfName: "dilations", name: "dilations", type: "number[]" }] }, { tfOpName: "Dilation2D", category: "convolution", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "filter", type: "tensor" }], attrs: [{ tfName: "strides", name: "strides", type: "number[]" }, { tfName: "rates", name: "dilations", type: "number[]" }, { tfName: "padding", name: "pad", type: "string" }] }]; +var rS = {}; +He(rS, { json: () => QX }); +var QX = [{ tfOpName: "Fill", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }, { start: 1, name: "value", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "LinSpace", category: "creation", inputs: [{ start: 0, name: "start", type: "number" }, { start: 1, name: "stop", type: "number" }, { start: 2, name: "num", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "OneHot", category: "creation", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "depth", type: "number" }, { start: 2, name: "onValue", type: "number", defaultValue: 1 }, { start: 3, name: "offValue", type: "number", defaultValue: 0 }], attrs: [{ tfName: "axis", name: "axis", type: "number", notSupported: true }, { tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "Ones", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "OnesLike", category: "creation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "RandomStandardNormal", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "seed", name: "seed", type: "number", defaultValue: 0 }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "RandomUniform", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "minval", name: "minval", type: "number", defaultValue: 0 }, { tfName: "maxval", name: "maxval", type: "number", defaultValue: 1 }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "seed", name: "seed", type: "number", defaultValue: 0 }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "RandomUniformInt", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "minval", name: "minval", type: "number" }, { tfName: "maxval", name: "maxval", type: "number" }, { tfName: "seed", name: "seed", type: "number", defaultValue: 0 }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }] }, { tfOpName: "Range", category: "creation", inputs: [{ start: 0, name: "start", type: "number" }, { start: 1, name: "stop", type: "number" }, { start: 2, name: "step", type: "number", defaultValue: 0 }], attrs: [{ tfName: "Tidx", name: "dtype", type: "dtype" }] }, { tfOpName: "TruncatedNormal", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "means", name: "mean", type: "number", defaultValue: 0 }, { tfName: "stddev", name: "stdDev", type: "number", defaultValue: 1 }, { tfName: "seed", name: "seed", type: "number" }, { tfName: "seed2", name: "seed2", type: "number", defaultValue: 0, notSupported: true }, { tfName: "dtype", name: "dtype", type: "dtype" }, { tfName: "T", name: "T", type: "number", notSupported: true }] }, { tfOpName: "Zeros", category: "creation", inputs: [{ start: 0, name: "shape", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "ZerosLike", category: "creation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "Multinomial", category: "creation", inputs: [{ start: 0, name: "logits", type: "tensor" }, { start: 1, name: "numSamples", type: "number" }], attrs: [{ tfName: "seed", name: "seed", type: "number" }, { tfName: "seed2", name: "seed2", type: "number" }, { tfName: "T", name: "dtype", type: "dtype" }, { tfName: "output_dtype", name: "output_dtype", type: "dtype" }] }]; +var oS = {}; +He(oS, { json: () => ZX }); +var ZX = [{ tfOpName: "NonMaxSuppressionV2", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }] }, { tfOpName: "NonMaxSuppressionV3", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }] }, { tfOpName: "NonMaxSuppressionV4", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }, { tfName: "T_threshold", name: "threshold", type: "dtype", notSupported: true }, { tfName: "pad_to_max_output_size", name: "padToMaxOutputSize", type: "bool" }] }, { tfOpName: "NonMaxSuppressionV5", category: "dynamic", inputs: [{ start: 0, name: "boxes", type: "tensor" }, { start: 1, name: "scores", type: "tensor" }, { start: 2, name: "maxOutputSize", type: "number" }, { start: 3, name: "iouThreshold", type: "number" }, { start: 4, name: "scoreThreshold", type: "number" }, { start: 5, name: "softNmsSigma", type: "number" }] }, { tfOpName: "Where", category: "dynamic", inputs: [{ start: 0, name: "condition", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ListDiff", category: "dynamic", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "y", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }]; +var nS = {}; +He(nS, { json: () => JX }); +var JX = [{ tfOpName: "LowerBound", category: "evaluation", inputs: [{ start: 0, name: "sortedSequence", type: "tensor" }, { start: 1, name: "values", type: "tensor" }] }, { tfOpName: "TopKV2", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "k", type: "number" }], attrs: [{ tfName: "sorted", name: "sorted", type: "bool" }] }, { tfOpName: "UpperBound", category: "evaluation", inputs: [{ start: 0, name: "sortedSequence", type: "tensor" }, { start: 1, name: "values", type: "tensor" }] }, { tfOpName: "Unique", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "UniqueV2", category: "evaluation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }]; +var sS = {}; +He(sS, { json: () => e5 }); +var e5 = [{ tfOpName: "PlaceholderWithDefault", category: "graph", inputs: [{ start: 0, name: "default", type: "tensor" }], attrs: [{ tfName: "shape", name: "shape", type: "shape" }, { tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "Placeholder", category: "graph", attrs: [{ tfName: "shape", name: "shape", type: "shape" }, { tfName: "dtype", name: "dtype", type: "dtype" }] }, { tfOpName: "Const", category: "graph" }, { tfOpName: "Identity", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "IdentityN", category: "graph", inputs: [{ start: 0, end: 0, name: "x", type: "tensors" }] }, { tfOpName: "Snapshot", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Rank", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Size", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "Shape", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "ShapeN", category: "graph", inputs: [{ start: 0, end: 0, name: "x", type: "tensors" }] }, { tfOpName: "Print", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "data", type: "tensors" }], attrs: [{ tfName: "message", name: "message", type: "string" }, { tfName: "first_n", name: "firstN", type: "number", notSupported: true }, { tfName: "summarize", name: "summarize", type: "number", defaultValue: 3 }] }, { tfOpName: "NoOp", category: "graph", inputs: [] }, { tfOpName: "StopGradient", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "FakeQuantWithMinMaxVars", category: "graph", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "min", name: "min", type: "number" }, { tfName: "max", name: "max", type: "number" }] }]; +var aS = {}; +He(aS, { json: () => t5 }); +var t5 = [{ tfOpName: "HashTable", category: "hash_table", inputs: [], attrs: [{ tfName: "shared_name", name: "sharedName", type: "string" }, { tfName: "use_node_name_sharing", name: "useNodeNameSharing", type: "bool" }, { tfName: "key_dtype", name: "keyDType", type: "dtype" }, { tfName: "value_dtype", name: "valueDType", type: "dtype" }] }, { tfOpName: "HashTableV2", category: "hash_table", inputs: [], attrs: [{ tfName: "shared_name", name: "sharedName", type: "string" }, { tfName: "use_node_name_sharing", name: "useNodeNameSharing", type: "bool" }, { tfName: "key_dtype", name: "keyDType", type: "dtype" }, { tfName: "value_dtype", name: "valueDType", type: "dtype" }] }, { tfOpName: "LookupTableImport", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableImportV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableFind", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableFindV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "Tin", name: "tIn", type: "dtype", notSupported: true }, { tfName: "Tout", name: "tOut", type: "dtype", notSupported: true }] }, { tfOpName: "LookupTableSize", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }] }, { tfOpName: "LookupTableSizeV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }] }, { tfOpName: "InitializeTable", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }] }, { tfOpName: "InitializeTableV2", category: "hash_table", inputs: [{ start: 0, name: "tableHandle", type: "tensor" }, { start: 1, name: "keys", type: "tensor" }, { start: 2, name: "values", type: "tensor" }] }]; +var iS = {}; +He(iS, { json: () => r5 }); +var r5 = [{ tfOpName: "ResizeBilinear", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "size", type: "number[]" }], attrs: [{ tfName: "align_corners", name: "alignCorners", type: "bool" }, { tfName: "half_pixel_centers", name: "halfPixelCenters", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "ResizeNearestNeighbor", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "size", type: "number[]" }], attrs: [{ tfName: "align_corners", name: "alignCorners", type: "bool" }, { tfName: "half_pixel_centers", name: "halfPixelCenters", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "CropAndResize", category: "image", inputs: [{ start: 0, name: "image", type: "tensor" }, { start: 1, name: "boxes", type: "tensor" }, { start: 2, name: "boxInd", type: "tensor" }, { start: 3, name: "cropSize", type: "number[]" }], attrs: [{ tfName: "method", name: "method", type: "string" }, { tfName: "extrapolation_value", name: "extrapolationValue", type: "number" }] }, { tfOpName: "ImageProjectiveTransformV3", category: "image", inputs: [{ start: 0, name: "images", type: "tensor" }, { start: 1, name: "transforms", type: "tensor" }, { start: 2, name: "outputShape", type: "number[]" }, { start: 3, name: "fillValue", type: "number" }], attrs: [{ tfName: "interpolation", name: "interpolation", type: "string" }, { tfName: "fill_mode", name: "fillMode", type: "string" }] }]; +var uS = {}; +He(uS, { json: () => o5 }); +var o5 = [{ tfOpName: "Equal", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "NotEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Greater", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "GreaterEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Less", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LessEqual", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalAnd", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalNot", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "LogicalOr", category: "logical", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Select", category: "logical", inputs: [{ start: 0, name: "condition", type: "tensor" }, { start: 1, name: "a", type: "tensor" }, { start: 2, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SelectV2", category: "logical", inputs: [{ start: 0, name: "condition", type: "tensor" }, { start: 1, name: "a", type: "tensor" }, { start: 2, name: "b", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "BitwiseAnd", category: "logical", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "y", type: "tensor" }] }]; +var pS = {}; +He(pS, { json: () => n5 }); +var n5 = [{ tfOpName: "_FusedMatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }, { start: 2, end: 0, name: "args", type: "tensors" }], attrs: [{ tfName: "num_args", name: "numArgs", type: "number" }, { tfName: "fused_ops", name: "fusedOps", type: "string[]", defaultValue: [] }, { tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-4 }, { tfName: "transpose_a", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "transpose_b", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "leakyrelu_alpha", name: "leakyreluAlpha", type: "number", defaultValue: 0.2 }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "MatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "transpose_a", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "transpose_b", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "BatchMatMul", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "adj_x", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "adj_y", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "BatchMatMulV2", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "b", type: "tensor" }], attrs: [{ tfName: "adj_x", name: "transposeA", type: "bool", defaultValue: false }, { tfName: "adj_y", name: "transposeB", type: "bool", defaultValue: false }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Transpose", category: "matrices", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "perm", type: "number[]" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Einsum", category: "matrices", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }], attrs: [{ tfName: "equation", name: "equation", type: "string" }, { tfName: "N", name: "n", type: "number", defaultValue: 2 }, { tfName: "T", name: "dtype", type: "dtype" }] }, { tfOpName: "MatrixBandPart", category: "matrices", inputs: [{ start: 0, name: "a", type: "tensor" }, { start: 1, name: "numLower", type: "tensor" }, { start: 1, name: "numUpper", type: "tensor" }] }]; +var cS = {}; +He(cS, { json: () => s5 }); +var s5 = [{ tfOpName: "EuclideanNorm", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool", defaultValue: false }] }, { tfOpName: "FusedBatchNorm", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "FusedBatchNormV2", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "FusedBatchNormV3", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "scale", type: "tensor" }, { start: 2, name: "offset", type: "tensor" }, { start: 3, name: "mean", type: "tensor" }, { start: 4, name: "variance", type: "tensor" }], attrs: [{ tfName: "epsilon", name: "epsilon", type: "number", defaultValue: 1e-3 }, { tfName: "data_format", name: "dataFormat", type: "string", notSupported: true }] }, { tfOpName: "LRN", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "depth_radius", name: "radius", type: "number", defaultValue: 5 }, { tfName: "bias", name: "bias", type: "number", defaultValue: 1 }, { tfName: "alpha", name: "alpha", type: "number", defaultValue: 1 }, { tfName: "beta", name: "beta", type: "number", defaultValue: 0.5 }] }, { tfOpName: "Softmax", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "LogSoftmax", category: "normalization", inputs: [{ start: 0, name: "x", type: "tensor" }] }]; +var lS = {}; +He(lS, { json: () => a5 }); +var a5 = [{ tfOpName: "Bincount", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "size", type: "number" }, { start: 2, name: "weights", type: "tensor" }] }, { tfOpName: "DenseBincount", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "size", type: "number" }, { start: 2, name: "weights", type: "tensor" }], attrs: [{ tfName: "binary_output", name: "binaryOutput", type: "bool" }] }, { tfOpName: "Max", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Mean", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Min", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Sum", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "All", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "Any", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }] }, { tfOpName: "ArgMax", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "ArgMin", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "Prod", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }], attrs: [{ tfName: "keep_dims", name: "keepDims", type: "bool" }, { tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "Cumprod", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }], attrs: [{ tfName: "exclusive", name: "exclusive", type: "bool" }, { tfName: "reverse", name: "reverse", type: "bool" }] }, { tfOpName: "Cumsum", category: "reduction", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }], attrs: [{ tfName: "exclusive", name: "exclusive", type: "bool" }, { tfName: "reverse", name: "reverse", type: "bool" }] }]; +var mS = {}; +He(mS, { json: () => i5 }); +var i5 = [{ tfOpName: "ConcatV2", category: "slice_join", inputs: [{ start: 0, end: -1, name: "tensors", type: "tensors" }, { start: -1, name: "axis", type: "number" }], attrs: [{ tfName: "N", name: "n", type: "number", defaultValue: 2 }] }, { tfOpName: "Concat", category: "slice_join", inputs: [{ start: 1, end: 0, name: "tensors", type: "tensors" }, { start: 0, name: "axis", type: "number" }], attrs: [{ tfName: "N", name: "n", type: "number", defaultValue: 2 }] }, { tfOpName: "GatherV2", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "axis", type: "number", defaultValue: 0 }], attrs: [{ tfName: "batch_dims", name: "batchDims", type: "number", defaultValue: 0 }] }, { tfOpName: "Gather", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }], attrs: [{ tfName: "validate_indices", name: "validateIndices", type: "bool", notSupported: true }] }, { tfOpName: "Reverse", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "dims", type: "bool[]" }] }, { tfOpName: "ReverseV2", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number[]" }] }, { tfOpName: "Slice", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "begin", type: "number[]" }, { start: 2, name: "size", type: "number[]" }] }, { tfOpName: "StridedSlice", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "begin", type: "number[]" }, { start: 2, name: "end", type: "number[]" }, { start: 3, name: "strides", type: "number[]" }], attrs: [{ tfName: "begin_mask", name: "beginMask", type: "number", defaultValue: 0 }, { tfName: "end_mask", name: "endMask", type: "number", defaultValue: 0 }, { tfName: "new_axis_mask", name: "newAxisMask", type: "number", defaultValue: 0 }, { tfName: "ellipsis_mask", name: "ellipsisMask", type: "number", defaultValue: 0 }, { tfName: "shrink_axis_mask", name: "shrinkAxisMask", type: "number", defaultValue: 0 }] }, { tfOpName: "Pack", category: "slice_join", inputs: [{ start: 0, end: 0, name: "tensors", type: "tensors" }], attrs: [{ tfName: "axis", name: "axis", type: "number", defaultValue: 0 }] }, { tfOpName: "Unpack", category: "slice_join", inputs: [{ start: 0, name: "tensor", type: "tensor" }], attrs: [{ tfName: "axis", name: "axis", type: "number", defaultValue: 0 }, { tfName: "num", name: "num", type: "number", defaultValue: 0, notSupported: true }] }, { tfOpName: "Tile", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "reps", type: "number[]" }] }, { tfOpName: "Split", category: "slice_join", inputs: [{ start: 0, name: "axis", type: "number", defaultValue: 0 }, { start: 1, name: "x", type: "tensor" }], attrs: [{ tfName: "num_split", name: "numOrSizeSplits", type: "number", defaultValue: 1 }] }, { tfOpName: "SplitV", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "numOrSizeSplits", type: "number[]" }, { start: 2, name: "axis", type: "number", defaultValue: 0 }] }, { tfOpName: "ScatterNd", category: "slice_join", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "values", type: "tensor" }, { start: 2, name: "shape", type: "number[]" }] }, { tfOpName: "GatherNd", category: "slice_join", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }] }, { tfOpName: "SparseToDense", category: "slice_join", inputs: [{ start: 0, name: "sparseIndices", type: "tensor" }, { start: 1, name: "outputShape", type: "number[]" }, { start: 2, name: "sparseValues", type: "tensor" }, { start: 3, name: "defaultValue", type: "tensor" }], attrs: [{ tfName: "validate_indices", name: "validateIndices", type: "bool", defaultValue: false, notSupported: true }] }, { tfOpName: "TensorScatterUpdate", category: "slice_join", inputs: [{ start: 0, name: "tensor", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "values", type: "tensor" }] }]; +var dS = {}; +He(dS, { json: () => u5 }); +var u5 = [{ tfOpName: "SparseFillEmptyRows", category: "sparse", inputs: [{ start: 0, name: "indices", type: "tensor" }, { start: 1, name: "values", type: "tensor" }, { start: 2, name: "denseShape", type: "tensor" }, { start: 3, name: "defaultValue", type: "tensor" }] }, { tfOpName: "SparseReshape", category: "sparse", inputs: [{ start: 0, name: "inputIndices", type: "tensor" }, { start: 1, name: "inputShape", type: "tensor" }, { start: 2, name: "newShape", type: "tensor" }], attrs: [{ tfName: "T", name: "dtype", type: "dtype", notSupported: true }] }, { tfOpName: "SparseSegmentMean", category: "sparse", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "segmentIds", type: "tensor" }] }, { tfOpName: "SparseSegmentSum", category: "sparse", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "indices", type: "tensor" }, { start: 2, name: "segmentIds", type: "tensor" }] }]; +var fS = {}; +He(fS, { json: () => p5 }); +var p5 = [{ tfOpName: "FFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "IFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }] }, { tfOpName: "RFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "fft_length", type: "number", notSupported: true }] }, { tfOpName: "IRFFT", category: "spectral", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "fft_length", type: "number", notSupported: true }] }]; +var hS = {}; +He(hS, { json: () => c5 }); +var c5 = [{ tfOpName: "StaticRegexReplace", category: "string", inputs: [{ start: 0, name: "input", type: "tensor" }], attrs: [{ tfName: "pattern", name: "pattern", type: "string" }, { tfName: "rewrite", name: "rewrite", type: "string" }, { tfName: "replace_global", name: "replaceGlobal", type: "bool" }] }, { tfOpName: "StringNGrams", category: "string", inputs: [{ start: 0, name: "data", type: "tensor" }, { start: 1, name: "dataSplits", type: "tensor" }], attrs: [{ tfName: "separator", name: "separator", type: "string" }, { tfName: "ngram_widths", name: "nGramWidths", type: "number[]" }, { tfName: "left_pad", name: "leftPad", type: "string" }, { tfName: "right_pad", name: "rightPad", type: "string" }, { tfName: "pad_width", name: "padWidth", type: "number" }, { tfName: "preserve_short_sequences", name: "preserveShortSequences", type: "bool" }], outputs: ["ngrams", "ngrams_splits"] }, { tfOpName: "StringSplit", category: "string", inputs: [{ start: 0, name: "input", type: "tensor" }, { start: 1, name: "delimiter", type: "tensor" }], attrs: [{ tfName: "skip_empty", name: "skipEmpty", type: "bool" }], outputs: ["indices", "values", "shape"] }, { tfOpName: "StringToHashBucketFast", category: "string", inputs: [{ start: 0, name: "input", type: "tensor" }], attrs: [{ tfName: "num_buckets", name: "numBuckets", type: "number" }] }]; +var gS = {}; +He(gS, { json: () => l5 }); +var l5 = [{ tfOpName: "Cast", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "SrcT", name: "sdtype", type: "dtype", notSupported: true }, { tfName: "DstT", name: "dtype", type: "dtype" }] }, { tfOpName: "ExpandDims", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "axis", type: "number" }] }, { tfOpName: "MirrorPad", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }], attrs: [{ tfName: "mode", name: "mode", type: "string" }] }, { tfOpName: "Pad", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }], attrs: [{ tfName: "constant_value", name: "constantValue", type: "number", defaultValue: 0 }] }, { tfOpName: "PadV2", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "padding", type: "number[]" }, { start: 2, name: "constantValue", type: "number", defaultValue: 0 }] }, { tfOpName: "Reshape", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "shape", type: "number[]" }] }, { tfOpName: "EnsureShape", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "shape", type: "number[]" }] }, { tfOpName: "Squeeze", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "axis", tfDeprecatedName: "squeeze_dims", name: "axis", type: "number[]" }] }, { tfOpName: "SpaceToBatchND", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "blockShape", type: "number[]" }, { start: 2, name: "paddings", type: "number[]" }] }, { tfOpName: "BatchToSpaceND", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "blockShape", type: "number[]" }, { start: 2, name: "crops", type: "number[]" }] }, { tfOpName: "DepthToSpace", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }], attrs: [{ tfName: "block_size", name: "blockSize", type: "number" }, { tfName: "data_format", name: "dataFormat", type: "string" }] }, { tfOpName: "BroadcastTo", category: "transformation", inputs: [{ start: 0, name: "x", type: "tensor" }, { start: 1, name: "shape", type: "number[]" }], attrs: [] }, { tfOpName: "BroadcastArgs", category: "transformation", inputs: [{ start: 0, name: "s0", type: "tensor" }, { start: 1, name: "s1", type: "tensor" }], attrs: [] }]; +var Fl = class { static get Instance() { return this._instance || (this._instance = new this()); } + constructor() { + let e = [Zw, Jw, eS, tS, rS, oS, nS, sS, aS, iS, uS, pS, cS, lS, mS, dS, fS, hS, gS], t10 = [].concat(...e.map((o) => o.json)); + this.opMappers = t10.reduce((o, n) => (o[n.tfOpName] = n, o), {}); + } transformGraph(e, t10 = {}) { let o = e.node, n = [], s = [], a = [], i = o.reduce((h, g) => (h[g.name] = this.mapNode(g), g.op.startsWith("Placeholder") ? n.push(h[g.name]) : g.op === "Const" ? s.push(h[g.name]) : (g.input == null || g.input.length === 0) && a.push(h[g.name]), h), {}), p = [], u = [], c = {}, l = {}; t10 != null && (c = this.mapSignatureEntries(t10.inputs), l = this.mapSignatureEntries(t10.outputs)); @@ -9484,11 +9760,11 @@ var ml = class { m.forEach((h) => { let g = i[h]; g.inputNames.forEach((x, b) => { - let [C, , w] = as(x), k = i[C]; + let [w, , S] = Ds(x), k = i[w]; if (k.outputs != null) { - let _ = k.outputs.indexOf(w); + let _ = k.outputs.indexOf(S); if (_ !== -1) { - let E = `${C}:${_}`; + let E = `${w}:${_}`; g.inputNames[b] = E; } } @@ -9498,10 +9774,10 @@ var ml = class { let g = i[h]; g.children.length === 0 && u.push(g); }) : Object.keys(l).forEach((h) => { - let [g] = as(h), x = i[g]; + let [g] = Ds(h), x = i[g]; x != null && (x.signatureKey = l[h], u.push(x)); }), Object.keys(c).length > 0 ? Object.keys(c).forEach((h) => { - let [g] = as(h), x = i[g]; + let [g] = Ds(h), x = i[g]; x && (x.signatureKey = c[h], p.push(x)); }) : p = n; let d = {}; @@ -9513,44 +9789,44 @@ var ml = class { return Object.keys(e || {}).reduce((t10, o) => (t10[e[o].name] = o, t10), {}); } mapNode(e) { - let t10 = Gd(e.op) || this.opMappers[e.op] || {}; + let t10 = sf(e.op) || this.opMappers[e.op] || {}; e.attr == null && (e.attr = {}); let o = { name: e.name, op: e.op, category: t10.category, inputNames: (e.input || []).map((n) => n.startsWith("^") ? n.slice(1) : n), inputs: [], children: [], inputParams: {}, attrParams: {}, rawAttrs: e.attr, outputs: t10.outputs }; return t10.inputs != null && (o.inputParams = t10.inputs.reduce((n, s) => (n[s.name] = { type: s.type, inputIndexStart: s.start, inputIndexEnd: s.end }, n), {})), t10.attrs != null && (o.attrParams = t10.attrs.reduce((n, s) => { let a = s.type, i; switch (s.type) { case "string": - i = Kd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Kd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = uf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = uf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "string[]": - i = Jd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Jd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = hf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = hf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "number": - i = jd(e.attr, s.tfName, s.defaultValue || 0), i === void 0 && s.tfDeprecatedName && (i = jd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = cf(e.attr, s.tfName, s.defaultValue || 0), i === void 0 && s.tfDeprecatedName && (i = cf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "number[]": - i = Zd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Zd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = ff(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = ff(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "bool": - i = qd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = qd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = pf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = pf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "bool[]": - i = tf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = tf(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = xf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = xf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "shape": - i = Qd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Qd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = df(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = df(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "shape[]": - i = ef(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = ef(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = gf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = gf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "dtype": - i = Xd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Xd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = lf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = lf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "dtype[]": - i = Yd(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = Yd(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = mf(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = mf(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "func": - i = AN(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = AN(e.attr, s.tfDeprecatedName, s.defaultValue)); + i = QN(e.attr, s.tfName, s.defaultValue), i === void 0 && s.tfDeprecatedName && (i = QN(e.attr, s.tfDeprecatedName, s.defaultValue)); break; case "tensor": case "tensors": @@ -9566,17 +9842,17 @@ var ml = class { t10 != null && (s = t10.reduce((l, m) => (l[m.name] = this.mapNode(m), m.op === "Const" && n.push(l[m.name]), l), {})); let a = [], i = []; e.signature.inputArg.forEach((l) => { - let [m] = as(l.name), d = { name: m, op: "Placeholder", inputs: [], inputNames: [], category: "graph", inputParams: {}, attrParams: { dtype: { value: tS(l.type), type: "dtype" } }, children: [] }; + let [m] = Ds(l.name), d = { name: m, op: "Placeholder", inputs: [], inputNames: [], category: "graph", inputParams: {}, attrParams: { dtype: { value: xS(l.type), type: "dtype" } }, children: [] }; d.signatureKey = l.name, a.push(d), s[m] = d; }), Object.keys(s).forEach((l) => { let m = s[l]; m.inputNames.forEach((d, f) => { - let [h, , g] = as(d), x = s[h]; + let [h, , g] = Ds(d), x = s[h]; if (x.outputs != null) { let b = x.outputs.indexOf(g); if (b !== -1) { - let C = `${h}:${b}`; - m.inputNames[f] = C; + let w = `${h}:${b}`; + m.inputNames[f] = w; } } m.inputs.push(x), x.children.push(m); @@ -9584,7 +9860,7 @@ var ml = class { }); let u = e.ret; e.signature.outputArg.forEach((l) => { - let [m, d] = as(u[l.name]), f = s[m]; + let [m, d] = Ds(u[l.name]), f = s[m]; f != null && (f.defaultOutput = d, i.push(f)); }); let c = this.mapArgsToSignature(e); @@ -9598,125 +9874,125 @@ var ml = class { return t10 != null && (o = t10[o]), { name: o, dtype: e.type }; } }; -function o6(r) { - let e = O().global; +function m5(r) { + let e = P().global; if (typeof e.atob != "undefined") return e.atob(r); if (typeof Buffer != "undefined") return new Buffer(r, "base64").toString(); throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()"); } -function RN(r, e) { - let t10 = Array.isArray(r) ? String.fromCharCode.apply(null, r) : o6(r); +function ZN(r, e) { + let t10 = Array.isArray(r) ? String.fromCharCode.apply(null, r) : m5(r); return e ? t10 : t10.toLowerCase(); } -function Kd(r, e, t10, o = false) { +function uf(r, e, t10, o = false) { let n = r[e]; - return n != null ? RN(n.s, o) : t10; + return n != null ? ZN(n.s, o) : t10; } -function qd(r, e, t10) { +function pf(r, e, t10) { let o = r[e]; return o ? o.b : t10; } -function jd(r, e, t10) { +function cf(r, e, t10) { let o = r[e] || {}, n = o.i != null ? o.i : o.f != null ? o.f : t10; return typeof n == "number" ? n : parseInt(n, 10); } -function tS(r) { - switch (typeof r == "string" && (r = ao[r]), r) { - case ao.DT_FLOAT: - case ao.DT_HALF: +function xS(r) { + switch (typeof r == "string" && (r = co[r]), r) { + case co.DT_FLOAT: + case co.DT_HALF: return "float32"; - case ao.DT_INT32: - case ao.DT_INT64: - case ao.DT_INT8: - case ao.DT_UINT8: + case co.DT_INT32: + case co.DT_INT64: + case co.DT_INT8: + case co.DT_UINT8: return "int32"; - case ao.DT_BOOL: + case co.DT_BOOL: return "bool"; - case ao.DT_DOUBLE: + case co.DT_DOUBLE: return "float32"; - case ao.DT_STRING: + case co.DT_STRING: return "string"; default: return null; } } -function AN(r, e, t10) { +function QN(r, e, t10) { let o = r[e]; return o && o.func ? o.func.name : t10; } -function Xd(r, e, t10) { +function lf(r, e, t10) { let o = r[e]; - return o && o.type ? tS(o.type) : t10; + return o && o.type ? xS(o.type) : t10; } -function Yd(r, e, t10) { +function mf(r, e, t10) { let o = r[e]; - return o && o.list && o.list.type ? o.list.type.map((n) => tS(n)) : t10; + return o && o.list && o.list.type ? o.list.type.map((n) => xS(n)) : t10; } -function DN(r) { +function JN(r) { if (!r.unknownRank) return r.dim != null ? r.dim.map((e) => typeof e.size == "number" ? e.size : parseInt(e.size, 10)) : []; } -function Qd(r, e, t10) { +function df(r, e, t10) { let o = r[e]; - return o && o.shape ? DN(o.shape) : t10; + return o && o.shape ? JN(o.shape) : t10; } -function Zd(r, e, t10) { +function ff(r, e, t10) { let o = r[e]; return o ? ((o.list.f && o.list.f.length ? o.list.f : o.list.i) || []).map((n) => typeof n == "number" ? n : parseInt(n, 10)) : t10; } -function Jd(r, e, t10, o = false) { +function hf(r, e, t10, o = false) { let n = r[e]; - return n && n.list && n.list.s ? n.list.s.map((s) => RN(s, o)) : t10; + return n && n.list && n.list.s ? n.list.s.map((s) => ZN(s, o)) : t10; } -function ef(r, e, t10) { +function gf(r, e, t10) { let o = r[e]; - return o && o.list && o.list.shape ? o.list.shape.map((n) => DN(n)) : t10; + return o && o.list && o.list.shape ? o.list.shape.map((n) => JN(n)) : t10; } -function tf(r, e, t10) { +function xf(r, e, t10) { let o = r[e]; return o && o.list && o.list.b ? o.list.b : t10; } -var rf = class { +var yf = class { constructor(e, t10, o) { this.node = e, this.tensorMap = t10, this.context = o, this.inputs = [], this.attrs = {}, this.inputs = e.inputNames.map((n) => this.getInput(n)), e.rawAttrs != null && (this.attrs = Object.keys(e.rawAttrs).reduce((n, s) => (n[s] = this.getAttr(s), n), {})); } getInput(e) { - return Gt(e, this.tensorMap, this.context); + return Bt(e, this.tensorMap, this.context); } getAttr(e, t10) { let o = this.node.rawAttrs[e]; if (o.tensor != null) - return Gt(e, this.tensorMap, this.context); + return Bt(e, this.tensorMap, this.context); if (o.i != null || o.f != null) - return jd(this.node.rawAttrs, e, t10); + return cf(this.node.rawAttrs, e, t10); if (o.s != null) - return Kd(this.node.rawAttrs, e, t10); + return uf(this.node.rawAttrs, e, t10); if (o.b != null) - return qd(this.node.rawAttrs, e, t10); + return pf(this.node.rawAttrs, e, t10); if (o.shape != null) - return Qd(this.node.rawAttrs, e, t10); + return df(this.node.rawAttrs, e, t10); if (o.type != null) - return Xd(this.node.rawAttrs, e, t10); + return lf(this.node.rawAttrs, e, t10); if (o.list != null) { if (o.list.i != null || o.list.f != null) - return Zd(this.node.rawAttrs, e, t10); + return ff(this.node.rawAttrs, e, t10); if (o.list.s != null) - return Jd(this.node.rawAttrs, e, t10); + return hf(this.node.rawAttrs, e, t10); if (o.list.shape != null) - return ef(this.node.rawAttrs, e, t10); + return gf(this.node.rawAttrs, e, t10); if (o.list.b != null) - return tf(this.node.rawAttrs, e, t10); + return xf(this.node.rawAttrs, e, t10); if (o.list.type != null) - return Yd(this.node.rawAttrs, e, t10); + return mf(this.node.rawAttrs, e, t10); } return t10; } }; -var Ye = {}; -Ge(Ye, { OP_SCOPE_SUFFIX: () => jb, abs: () => Yt, acos: () => G0, acosh: () => H0, add: () => be, addN: () => K0, all: () => q0, any: () => j0, argMax: () => X0, argMin: () => Y0, asin: () => Q0, asinh: () => Z0, atan: () => J0, atan2: () => ev, atanh: () => tv, avgPool: () => qm, avgPool3d: () => nv, basicLSTMCell: () => sv, batchNorm: () => _i, batchNorm2d: () => iv, batchNorm3d: () => uv, batchNorm4d: () => pv, batchToSpaceND: () => jm, bincount: () => Xm, booleanMaskAsync: () => VG, broadcastArgs: () => cv, broadcastTo: () => $i, buffer: () => le, cast: () => je, ceil: () => lv, clipByValue: () => mv, clone: () => Lr, complex: () => Tr, concat: () => xt, concat1d: () => dv, concat2d: () => fv, concat3d: () => hv, concat4d: () => gv, conv1d: () => xv, conv2d: () => Ei, conv2dTranspose: () => yv, conv3d: () => bv, conv3dTranspose: () => Sv, cos: () => wv, cosh: () => Iv, cosineWindow: () => al, cumprod: () => vv, cumsum: () => kv, denseBincount: () => Nv, depthToSpace: () => Tv, depthwiseConv2d: () => Bp, diag: () => _v, dilation2d: () => $v, div: () => He, divNoNan: () => Av, dot: () => Rv, dropout: () => ZG, einsum: () => Dv, elu: () => Jm, enclosingPowerOfTwo: () => CC, equal: () => Zm, erf: () => Fv, euclideanNorm: () => Mv, exp: () => So, expandDims: () => Ra, expm1: () => Lv, eye: () => ed, fft: () => zp, fill: () => Us, floor: () => td, floorDiv: () => Km, fused: () => SC, gather: () => rd, gatherND: () => YG, greater: () => uu, greaterEqual: () => od, ifft: () => du, imag: () => Ri, image: () => eK, inTopKAsync: () => eH, irfft: () => Td, isFinite: () => Bv, isInf: () => Vv, isNaN: () => zv, leakyRelu: () => nd, less: () => Wv, lessEqual: () => Vp, linalg: () => tK, linspace: () => Uv, localResponseNormalization: () => Gv, log: () => Da, log1p: () => sd, logSigmoid: () => Hv, logSoftmax: () => Kv, logSumExp: () => ud, logicalAnd: () => pu, logicalNot: () => pd, logicalOr: () => cd, logicalXor: () => qv, losses: () => rK, lowerBound: () => jv, matMul: () => Xe, max: () => Gs, maxPool: () => md, maxPool3d: () => Xv, maxPoolWithArgmax: () => Yv, maximum: () => dd, mean: () => cu, meshgrid: () => Qv, min: () => rl, minimum: () => fd, mirrorPad: () => Zv, mod: () => Jv, moments: () => ek, movingAverage: () => UG, mul: () => ne, multiRNNCell: () => tk, multinomial: () => rk, neg: () => Cr, norm: () => iu, notEqual: () => hd, oneHot: () => nl, ones: () => Hs, onesLike: () => ok, op: () => N, outerProduct: () => nk, pad: () => Ks, pad1d: () => sk, pad2d: () => ak, pad3d: () => ik, pad4d: () => uk, pool: () => pk, pow: () => Aa, prelu: () => xd, print: () => Hm, prod: () => ck, raggedGather: () => lk, raggedRange: () => mk, raggedTensorToTensor: () => dk, rand: () => fk, randomGamma: () => Ok, randomNormal: () => Id, randomStandardNormal: () => Pk, randomUniform: () => vd, range: () => Di, real: () => Fa, reciprocal: () => Mk, relu: () => Fi, relu6: () => kd, reshape: () => W, reverse: () => no, reverse1d: () => Lk, reverse2d: () => Bk, reverse3d: () => Vk, reverse4d: () => zk, rfft: () => Wp, round: () => Nd, rsqrt: () => Wk, scalar: () => Ce, scatterND: () => HG, searchSorted: () => ol, selu: () => Uk, separableConv2d: () => Gk, setdiff1dAsync: () => Hk, sigmoid: () => Ws, sign: () => Kk, signal: () => JH, sin: () => qk, sinh: () => jk, slice: () => Ke, slice1d: () => Xk, slice2d: () => Yk, slice3d: () => Qk, slice4d: () => Zk, softmax: () => Jk, softplus: () => id, spaceToBatchND: () => gd, sparse: () => oK, sparseToDense: () => jG, spectral: () => ZH, split: () => Oa, sqrt: () => $r, square: () => Qt, squaredDifference: () => _d, squeeze: () => Up, stack: () => Sr, step: () => $d, stridedSlice: () => e1, string: () => nK, sub: () => ke, sum: () => et, tan: () => t1, tanh: () => tl, tensor: () => nr, tensor1d: () => dr, tensor2d: () => Oi, tensor3d: () => Ed, tensor4d: () => r1, tensor5d: () => o1, tensor6d: () => n1, tile: () => Ai, topk: () => s1, transpose: () => Gp, truncatedNormal: () => a1, unique: () => i1, unsortedSegmentSum: () => u1, unstack: () => so, upperBound: () => p1, variable: () => c1, where: () => ss, whereAsync: () => Rd, zeros: () => Br, zerosLike: () => Ut }); -var FN = (r, e, t10, o = Ye) => { +var Ze = {}; +He(Ze, { OP_SCOPE_SUFFIX: () => pw, abs: () => Zt, acos: () => ik, acosh: () => uk, add: () => be, addN: () => pk, all: () => ck, any: () => lk, argMax: () => mk, argMin: () => dk, asin: () => fk, asinh: () => hk, atan: () => gk, atan2: () => xk, atanh: () => yk, avgPool: () => cd, avgPool3d: () => wk, basicLSTMCell: () => Sk, batchNorm: () => tu, batchNorm2d: () => vk, batchNorm3d: () => kk, batchNorm4d: () => Nk, batchToSpaceND: () => ld, bincount: () => md, bitwiseAnd: () => Tk, booleanMaskAsync: () => qq, broadcastArgs: () => _k, broadcastTo: () => ru, buffer: () => me, cast: () => Ye, ceil: () => $k, clipByValue: () => Ek, clone: () => Vr, complex: () => $r, concat: () => yt, concat1d: () => Rk, concat2d: () => Dk, concat3d: () => Ak, concat4d: () => Fk, conv1d: () => Pk, conv2d: () => ou, conv2dTranspose: () => Ok, conv3d: () => Mk, conv3dTranspose: () => Bk, cos: () => zk, cosh: () => Vk, cosineWindow: () => _l, cumprod: () => Wk, cumsum: () => Uk, denseBincount: () => Gk, depthToSpace: () => Hk, depthwiseConv2d: () => ac, diag: () => Kk, dilation2d: () => qk, div: () => Ke, divNoNan: () => Xk, dot: () => Yk, dropout: () => s6, einsum: () => Qk, elu: () => gd, enclosingPowerOfTwo: () => Pw, ensureShape: () => Zk, equal: () => hd, erf: () => Jk, euclideanNorm: () => r2, exp: () => ko, expandDims: () => oi, expm1: () => o2, eye: () => xd, fft: () => pc, fill: () => Sa, floor: () => yd, floorDiv: () => pd, fused: () => Ow, gather: () => bd, gatherND: () => o6, greater: () => Bu, greaterEqual: () => Cd, ifft: () => Hu, imag: () => su, image: () => uj, inTopKAsync: () => i6, irfft: () => Wd, isFinite: () => n2, isInf: () => s2, isNaN: () => a2, leakyRelu: () => wd, less: () => kl, lessEqual: () => ic, linalg: () => pj, linspace: () => i2, localResponseNormalization: () => u2, log: () => ni, log1p: () => Sd, logSigmoid: () => p2, logSoftmax: () => c2, logSumExp: () => kd, logicalAnd: () => zu, logicalNot: () => Nd, logicalOr: () => Td, logicalXor: () => l2, losses: () => cj, lowerBound: () => m2, matMul: () => Qe, max: () => Ia, maxPool: () => $d, maxPool3d: () => d2, maxPoolWithArgmax: () => f2, maximum: () => Ed, mean: () => Vu, meshgrid: () => h2, min: () => vl, minimum: () => Wu, mirrorPad: () => g2, mod: () => x2, moments: () => y2, movingAverage: () => Yq, mul: () => se, multiRNNCell: () => b2, multinomial: () => C2, neg: () => pr, norm: () => Lu, notEqual: () => Rd, oneHot: () => Tl, ones: () => va, onesLike: () => w2, op: () => N, outerProduct: () => S2, pad: () => ka, pad1d: () => I2, pad2d: () => v2, pad3d: () => k2, pad4d: () => N2, pool: () => T2, pow: () => ri, prelu: () => Ad, print: () => ud, prod: () => _2, raggedGather: () => $2, raggedRange: () => E2, raggedTensorToTensor: () => R2, rand: () => D2, randomGamma: () => J2, randomNormal: () => Bd, randomStandardNormal: () => e1, randomUniform: () => uc, randomUniformInt: () => t1, range: () => au, real: () => si, reciprocal: () => r1, relu: () => iu, relu6: () => zd, reshape: () => W, reverse: () => uo, reverse1d: () => o1, reverse2d: () => n1, reverse3d: () => s1, reverse4d: () => a1, rfft: () => cc, round: () => Vd, rsqrt: () => i1, scalar: () => ke, scatterND: () => Zq, searchSorted: () => Nl, selu: () => u1, separableConv2d: () => p1, setdiff1dAsync: () => c1, sigmoid: () => wa, sign: () => l1, signal: () => ij, sin: () => m1, sinh: () => d1, slice: () => qe, slice1d: () => f1, slice2d: () => h1, slice3d: () => g1, slice4d: () => x1, softmax: () => y1, softplus: () => vd, spaceToBatchND: () => Dd, sparse: () => lj, sparseToDense: () => t6, spectral: () => aj, split: () => ai, sqrt: () => Rr, square: () => Jt, squaredDifference: () => Ud, squeeze: () => lc, stack: () => vr, step: () => Gd, stridedSlice: () => b1, string: () => mj, sub: () => Te, sum: () => ot, tan: () => C1, tanh: () => Il, tensor: () => ir, tensor1d: () => xr, tensor2d: () => uu, tensor3d: () => Hd, tensor4d: () => w1, tensor5d: () => S1, tensor6d: () => I1, tensorScatterUpdate: () => k1, tile: () => nu, topk: () => N1, transpose: () => dc, truncatedNormal: () => T1, unique: () => _1, unsortedSegmentSum: () => $1, unstack: () => po, upperBound: () => E1, variable: () => R1, where: () => io, whereAsync: () => qd, zeros: () => Wr, zerosLike: () => Ht }); +var eT = (r, e, t10, o = Ze) => { switch (r.op) { case "BiasAdd": case "AddV2": @@ -9750,7 +10026,7 @@ var FN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var ON = (r, e, t10, o = Ye) => { +var tT = (r, e, t10, o = Ze) => { switch (r.op) { case "Abs": case "ComplexAbs": @@ -9828,20 +10104,22 @@ var ON = (r, e, t10, o = Ye) => { case "Relu6": return [o.relu6(I("x", r, e, t10))]; case "Rsqrt": - return [o.rsqrt(Gt(r.inputNames[0], e, t10))]; - case "Prod": - return [o.prod(I("x", r, e, t10), I("axes", r, e, t10))]; + return [o.rsqrt(Bt(r.inputNames[0], e, t10))]; case "LeakyRelu": return [o.leakyRelu(I("x", r, e, t10), I("alpha", r, e, t10))]; case "Prelu": return [o.prelu(I("x", r, e, t10), I("alpha", r, e, t10))]; case "IsNan": - return [o.isNaN(Gt(r.inputNames[0], e, t10))]; + return [o.isNaN(Bt(r.inputNames[0], e, t10))]; + case "IsInf": + return [o.isInf(Bt(r.inputNames[0], e, t10))]; + case "IsFinite": + return [o.isFinite(Bt(r.inputNames[0], e, t10))]; default: throw TypeError(`Node type ${r.op} is not implemented`); } }; -function Vr(r, e, t10 = "") { +function Ur(r, e, t10 = "") { if (!(typeof r == "number" || typeof e == "number")) { y.assert(r.length === e.length, () => t10 + ` Shapes ${r} and ${e} must match`); for (let o = 0; o < r.length; o++) { @@ -9850,20 +10128,20 @@ function Vr(r, e, t10 = "") { } } } -function PN(r) { +function rT(r) { return !(typeof r == "number" || r.some((e) => e < 0)); } -function Hp(r, e, t10) { - let o = of(r, t10), n = !PN(o); +function fc(r, e, t10) { + let o = bf(r, t10), n = !rT(o); if (n && e.length === 0) throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${o}`); if (n && e.forEach((s) => { - o = of(s.shape, o); - }), !PN(o)) + o = bf(s.shape, o); + }), !rT(o)) throw new Error(`Non-fully-defined elementShape: ${o}`); return o; } -function of(r, e) { +function bf(r, e) { if (typeof r == "number") return e; if (typeof e == "number") @@ -9879,9 +10157,9 @@ function of(r, e) { } return t10; } -var nf = class { +var Cf = class { constructor(e, t10, o, n, s, a, i) { - this.name = e, this.dtype = t10, this.maxSize = o, this.elementShape = n, this.identicalElementShapes = s, this.dynamicSize = a, this.clearAfterRead = i, this.tensors = [], this.closed_ = false, this.idTensor = Ce(0), _r(this.idTensor); + this.name = e, this.dtype = t10, this.maxSize = o, this.elementShape = n, this.identicalElementShapes = s, this.dynamicSize = a, this.clearAfterRead = i, this.tensors = [], this.closed_ = false, this.idTensor = ke(0), Er(this.idTensor); } get id() { return this.idTensor.id; @@ -9919,11 +10197,11 @@ var nf = class { if (t10.dtype !== this.dtype) throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because the value dtype is ${t10.dtype}, but TensorArray dtype is ${this.dtype}.`); - if (this.size() === 0 && (this.elementShape == null || this.elementShape.length === 0) && (this.elementShape = t10.shape), Vr(this.elementShape, t10.shape, `TensorArray ${this.name}: Could not write to TensorArray index ${e}.`), o.read) + if (this.size() === 0 && (this.elementShape == null || this.elementShape.length === 0) && (this.elementShape = t10.shape), Ur(this.elementShape, t10.shape, `TensorArray ${this.name}: Could not write to TensorArray index ${e}.`), o.read) throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`); if (o.written) throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`); - o.tensor = t10, _r(t10), o.written = true, this.tensors[e] = o; + o.tensor = t10, Er(t10), o.written = true, this.tensors[e] = o; } writeMany(e, t10) { if (e.length !== t10.length) @@ -9941,20 +10219,20 @@ var nf = class { e.push(n); } if (e.length === 0) - return nr([], [0].concat(this.elementShape)); + return ir([], [0].concat(this.elementShape)); let o = this.readMany(e); - return Vr(this.elementShape, o[0].shape, "TensorArray shape mismatch: "), Sr(o, 0); + return Ur(this.elementShape, o[0].shape, "TensorArray shape mismatch: "), vr(o, 0); } concat(e) { if (e && e !== this.dtype) throw new Error(`TensorArray dtype is ${this.dtype} but concat requested dtype ${e}`); if (this.size() === 0) - return nr([], [0].concat(this.elementShape)); + return ir([], [0].concat(this.elementShape)); let t10 = []; for (let n = 0; n < this.size(); n++) t10.push(n); let o = this.readMany(t10); - return Vr(this.elementShape, o[0].shape, `TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${o[0].shape})`), xt(o, 0); + return Ur(this.elementShape, o[0].shape, `TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${o[0].shape})`), yt(o, 0); } scatter(e, t10) { if (t10.dtype !== this.dtype) @@ -9964,7 +10242,7 @@ var nf = class { let o = Math.max(...e); if (!this.dynamicSize && o >= this.maxSize) throw new Error(`Max index must be < array size (${o} vs. ${this.maxSize})`); - this.writeMany(e, so(t10, 0)); + this.writeMany(e, po(t10, 0)); } split(e, t10) { if (t10.dtype !== this.dtype) @@ -9977,11 +10255,11 @@ var nf = class { if (!this.dynamicSize && e.length !== this.maxSize) throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`); let s = o === 0 ? 0 : t10.size / o, a = []; - Ee(() => { + De(() => { t10 = W(t10, [1, o, s]); for (let p = 0; p < e.length; ++p) { let c = [0, p === 0 ? 0 : n[p - 1], 0], l = [1, e[p], s]; - a[p] = W(Ke(t10, c, l), this.elementShape); + a[p] = W(qe(t10, c, l), this.elementShape); } return a; }); @@ -9991,19 +10269,19 @@ var nf = class { this.writeMany(i, a); } }; -var Ba = class { +var ci = class { + get id() { + return this.idTensor.id; + } constructor(e, t10, o, n = -1) { this.tensors = e, this.elementShape = t10, this.elementDtype = o, e != null && e.forEach((s) => { if (o !== s.dtype) throw new Error(`Invalid data types; op elements ${o}, but list elements ${s.dtype}`); - Vr(t10, s.shape, "TensorList shape mismatch: "), _r(s); - }), this.idTensor = Ce(0), this.maxNumElements = n, _r(this.idTensor); - } - get id() { - return this.idTensor.id; + Ur(t10, s.shape, "TensorList shape mismatch: "), Er(s); + }), this.idTensor = ke(0), this.maxNumElements = n, Er(this.idTensor); } copy() { - return new Ba([...this.tensors], this.elementShape, this.elementDtype); + return new ci([...this.tensors], this.elementShape, this.elementDtype); } clearAndClose(e) { this.tensors.forEach((t10) => { @@ -10018,11 +10296,11 @@ var Ba = class { throw new Error(`Invalid data types; op elements ${t10}, but list elements ${this.elementDtype}`); if (o !== -1 && this.tensors.length !== o) throw new Error(`Operation expected a list with ${o} elements but got a list with ${this.tensors.length} elements.`); - Vr(e, this.elementShape, "TensorList shape mismatch: "); - let n = Hp(this.elementShape, this.tensors, e); - return Ee(() => { + Ur(e, this.elementShape, "TensorList shape mismatch: "); + let n = fc(this.elementShape, this.tensors, e); + return De(() => { let s = this.tensors.map((a) => W(a, n)); - return Sr(s, 0); + return vr(s, 0); }); } popBack(e, t10) { @@ -10030,22 +10308,22 @@ var Ba = class { throw new Error(`Invalid data types; op elements ${t10}, but list elements ${this.elementDtype}`); if (this.size() === 0) throw new Error("Trying to pop from an empty list."); - let o = Hp(this.elementShape, this.tensors, e), n = this.tensors.pop(); - return n.kept = false, Vr(n.shape, e, "TensorList shape mismatch: "), W(n, o); + let o = fc(this.elementShape, this.tensors, e), n = this.tensors.pop(); + return n.kept = false, Ur(n.shape, e, "TensorList shape mismatch: "), W(n, o); } pushBack(e) { if (e.dtype !== this.elementDtype) throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`); - if (Vr(e.shape, this.elementShape, "TensorList shape mismatch: "), this.maxNumElements === this.size()) + if (Ur(e.shape, this.elementShape, "TensorList shape mismatch: "), this.maxNumElements === this.size()) throw new Error("Trying to push element into a full list."); - _r(e), this.tensors.push(e); + Er(e), this.tensors.push(e); } resize(e) { if (e < 0) throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`); if (this.maxNumElements !== -1 && e > this.maxNumElements) throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`); - let t10 = new Ba([], this.elementShape, this.elementDtype, this.maxNumElements); + let t10 = new ci([], this.elementShape, this.elementDtype, this.maxNumElements); t10.tensors.length = e; for (let o = 0; o < Math.min(this.tensors.length, e); ++o) t10.tensors[o] = this.tensors[o]; @@ -10058,8 +10336,8 @@ var Ba = class { throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`); if (this.tensors[e] == null) throw new Error(`element at index ${e} is null.`); - Vr(this.tensors[e].shape, t10, "TensorList shape mismatch: "); - let n = Hp(this.elementShape, this.tensors, t10); + Ur(this.tensors[e].shape, t10, "TensorList shape mismatch: "); + let n = fc(this.elementShape, this.tensors, t10); return W(this.tensors[e], n); } setItem(e, t10) { @@ -10067,74 +10345,74 @@ var Ba = class { throw new Error(`Invalid data types; op elements ${t10.dtype}, but list elements ${this.elementDtype}`); if (e < 0 || this.maxNumElements !== -1 && e >= this.maxNumElements) throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`); - Vr(this.elementShape, t10.shape, "TensorList shape mismatch: "), _r(t10), this.tensors[e] != null && (this.tensors[e].kept = false), this.tensors[e] = t10; + Ur(this.elementShape, t10.shape, "TensorList shape mismatch: "), Er(t10), this.tensors[e] != null && (this.tensors[e].kept = false), this.tensors[e] = t10; } gather(e, t10, o) { if (t10 !== this.elementDtype) throw new Error(`Invalid data types; op elements ${t10}, but list elements ${this.elementDtype}`); - Vr(this.elementShape, o, "TensorList shape mismatch: "), e = e.slice(0, this.size()); - let n = Hp(this.elementShape, this.tensors, o); - return e.length === 0 ? nr([], [0].concat(n)) : Ee(() => { + Ur(this.elementShape, o, "TensorList shape mismatch: "), e = e.slice(0, this.size()); + let n = fc(this.elementShape, this.tensors, o); + return e.length === 0 ? ir([], [0].concat(n)) : De(() => { let s = e.map((a) => W(this.tensors[a], n)); - return Sr(s, 0); + return vr(s, 0); }); } concat(e, t10) { if (e && e !== this.elementDtype) throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`); - Vr(this.elementShape, t10, "TensorList shape mismatch: "); - let o = Hp(this.elementShape, this.tensors, t10); - return this.size() === 0 ? nr([], [0].concat(o)) : Ee(() => { + Ur(this.elementShape, t10, "TensorList shape mismatch: "); + let o = fc(this.elementShape, this.tensors, t10); + return this.size() === 0 ? ir([], [0].concat(o)) : De(() => { let n = this.tensors.map((s) => W(s, o)); - return xt(n, 0); + return yt(n, 0); }); } }; -function MN(r, e, t10) { +function oT(r, e, t10) { let o = r.dtype; if (r.shape.length < 1) throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`); if (r.dtype !== t10) throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${t10}`); let n = r.shape.slice(1); - Vr(n, e, "TensorList shape mismatch: "); - let s = so(r); - return new Ba(s, e, o); + Ur(n, e, "TensorList shape mismatch: "); + let s = po(r); + return new ci(s, e, o); } -function LN(r, e, t10, o) { - return new Ba([], r, e, o); +function nT(r, e, t10, o) { + return new ci([], r, e, o); } -function BN(r, e, t10, o) { +function sT(r, e, t10, o) { if (e.length !== r.shape[0]) throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${r.shape[0]}`); let n = Math.max(...e); if (o != null && o !== -1 && n >= o) throw new Error(`Max index must be < array size (${n} vs. ${o})`); - let s = new Ba([], t10, r.dtype, o), a = so(r, 0); + let s = new ci([], t10, r.dtype, o), a = po(r, 0); return e.forEach((i, p) => { s.setItem(i, a[p]); }), s; } -function VN(r, e, t10) { +function aT(r, e, t10) { let o = 0, n = e.map((c) => (o += c, o)); if (o !== r.shape[0]) throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is ${o}, and tensor's shape is: ${r.shape}`); - let s = r.shape.slice(1), a = of(s, t10), i = o === 0 ? 0 : r.size / o, p = Ee(() => { + let s = r.shape.slice(1), a = bf(s, t10), i = o === 0 ? 0 : r.size / o, p = De(() => { let c = []; r = W(r, [1, o, i]); for (let l = 0; l < e.length; ++l) { let d = [0, l === 0 ? 0 : n[l - 1], 0], f = [1, e[l], i]; - c[l] = W(Ke(r, d, f), a); + c[l] = W(qe(r, d, f), a); } return r.dispose(), c; - }), u = new Ba([], t10, r.dtype, e.length); + }), u = new ci([], t10, r.dtype, e.length); for (let c = 0; c < p.length; c++) u.setItem(c, p[c]); return u; } -var zN = async (r, e, t10) => { +var iT = async (r, e, t10) => { switch (r.op) { case "If": case "StatelessIf": { @@ -10164,35 +10442,35 @@ var zN = async (r, e, t10) => { } case "LoopCond": { let o = I("pred", r, e, t10); - return [is(o)]; + return [As(o)]; } case "Switch": { let o = I("pred", r, e, t10), n = I("data", r, e, t10); - return n.kept || (n = is(n)), (await o.data())[0] ? [void 0, n] : [n, void 0]; + return n.kept || (n = As(n)), (await o.data())[0] ? [void 0, n] : [n, void 0]; } case "Merge": { - let o = r.inputNames.find((n) => Gt(n, e, t10) !== void 0); + let o = r.inputNames.find((n) => Bt(n, e, t10) !== void 0); if (o) { - let n = Gt(o, e, t10); - return [is(n)]; + let n = Bt(o, e, t10); + return [As(n)]; } return; } case "Enter": { let o = I("frameName", r, e, t10), n = I("tensor", r, e, t10); - return t10.enterFrame(o), [is(n)]; + return t10.enterFrame(o), [As(n)]; } case "Exit": { let o = I("tensor", r, e, t10); - return t10.exitFrame(), [is(o)]; + return t10.exitFrame(), [As(o)]; } case "NextIteration": { let o = I("tensor", r, e, t10); - return t10.nextIteration(), [is(o)]; + return t10.nextIteration(), [As(o)]; } case "TensorArrayV3": { - let o = I("size", r, e, t10), n = I("dtype", r, e, t10), s = I("elementShape", r, e, t10), a = I("dynamicSize", r, e, t10), i = I("clearAfterRead", r, e, t10), p = I("identicalElementShapes", r, e, t10), u = I("name", r, e, t10), c = new nf(u, n, o, s, p, a, i); - return t10.addTensorArray(c), [c.idTensor, Ce(1)]; + let o = I("size", r, e, t10), n = I("dtype", r, e, t10), s = I("elementShape", r, e, t10), a = I("dynamicSize", r, e, t10), i = I("clearAfterRead", r, e, t10), p = I("identicalElementShapes", r, e, t10), u = I("name", r, e, t10), c = new Cf(u, n, o, s, p, a, i); + return t10.addTensorArray(c), [c.idTensor, ke(1)]; } case "TensorArrayWriteV3": { let o = I("tensorArrayId", r, e, t10), n = I("index", r, e, t10), s = I("tensor", r, e, t10), a = t10.getTensorArray(o.id); @@ -10220,7 +10498,7 @@ var zN = async (r, e, t10) => { } case "TensorArraySizeV3": { let o = I("tensorArrayId", r, e, t10), n = t10.getTensorArray(o.id); - return [Ce(n.size(), "int32")]; + return [ke(n.size(), "int32")]; } case "TensorArrayCloseV3": { let o = I("tensorArrayId", r, e, t10), n = t10.getTensorArray(o.id); @@ -10236,14 +10514,14 @@ var zN = async (r, e, t10) => { } case "TensorListScatterV2": case "TensorListScatter": { - let o = I("indices", r, e, t10), n = I("tensor", r, e, t10), s = I("elementShape", r, e, t10), a = I("numElements", r, e, t10), i = BN(n, o, s, a); + let o = I("indices", r, e, t10), n = I("tensor", r, e, t10), s = I("elementShape", r, e, t10), a = I("numElements", r, e, t10), i = sT(n, o, s, a); return t10.addTensorList(i), [i.idTensor]; } case "TensorListReserve": case "EmptyTensorList": { let o = I("elementShape", r, e, t10), n = I("elementDType", r, e, t10), s; r.op === "TensorListReserve" ? s = "numElements" : s = "maxNumElements"; - let a = I(s, r, e, t10), i = r.op === "TensorListReserve" ? -1 : a, p = LN(o, n, a, i); + let a = I(s, r, e, t10), i = r.op === "TensorListReserve" ? -1 : a, p = nT(o, n, a, i); return t10.addTensorList(p), [p.idTensor]; } case "TensorListGather": { @@ -10255,7 +10533,7 @@ var zN = async (r, e, t10) => { return [t10.getTensorList(o.id).stack(n, s, a)]; } case "TensorListFromTensor": { - let o = I("tensor", r, e, t10), n = I("elementShape", r, e, t10), s = I("elementDType", r, e, t10), a = MN(o, n, s); + let o = I("tensor", r, e, t10), n = I("elementShape", r, e, t10), s = I("elementDType", r, e, t10), a = oT(o, n, s); return t10.addTensorList(a), [a.idTensor]; } case "TensorListConcat": @@ -10272,12 +10550,12 @@ var zN = async (r, e, t10) => { return [t10.getTensorList(o.id).popBack(n, s)]; } case "TensorListSplit": { - let o = I("tensor", r, e, t10), n = I("elementShape", r, e, t10), s = I("lengths", r, e, t10), a = VN(o, s, n); + let o = I("tensor", r, e, t10), n = I("elementShape", r, e, t10), s = I("lengths", r, e, t10), a = aT(o, s, n); return t10.addTensorList(a), [a.idTensor]; } case "TensorListLength": { let o = I("tensorListId", r, e, t10), n = t10.getTensorList(o.id); - return [Ce(n.size(), "int32")]; + return [ke(n.size(), "int32")]; } case "TensorListResize": { let o = I("tensorListId", r, e, t10), n = I("size", r, e, t10), a = t10.getTensorList(o.id).resize(n); @@ -10287,7 +10565,7 @@ var zN = async (r, e, t10) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -function WN(r, e, t10) { +function uT(r, e, t10) { let [o, n] = I("fusedOps", r, e, t10), s = o === "biasadd", a = !s, i = n === "prelu", p = o === "fusedbatchnorm", u = I("numArgs", r, e, t10); if (s) { if (i && u !== 2) @@ -10297,37 +10575,37 @@ function WN(r, e, t10) { } if (p) throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported"); - let c = I("strides", r, e, t10), l = ll(r, e, t10), m = I("dataFormat", r, e, t10).toUpperCase(), d = I("dilations", r, e, t10), [f, h] = I("args", r, e, t10); + let c = I("strides", r, e, t10), l = Al(r, e, t10), m = I("dataFormat", r, e, t10).toUpperCase(), d = I("dilations", r, e, t10), [f, h] = I("args", r, e, t10); a && (h = f, f = void 0); let g = I("leakyreluAlpha", r, e, t10); return { stride: c, pad: l, dataFormat: m, dilations: d, biasArg: f, preluArg: h, activationFunc: n, leakyreluAlpha: g }; } -var UN = (r, e, t10, o = Ye) => { +var pT = (r, e, t10, o = Ze) => { switch (r.op) { case "Conv1D": { let n = I("stride", r, e, t10), s = I("pad", r, e, t10), a = I("dataFormat", r, e, t10).toUpperCase(), i = I("dilation", r, e, t10); return [o.conv1d(I("x", r, e, t10), I("filter", r, e, t10), n, s, a, i)]; } case "Conv2D": { - let n = I("strides", r, e, t10), s = ll(r, e, t10), a = I("dataFormat", r, e, t10).toUpperCase(), i = I("dilations", r, e, t10); + let n = I("strides", r, e, t10), s = Al(r, e, t10), a = I("dataFormat", r, e, t10).toUpperCase(), i = I("dilations", r, e, t10); return [o.conv2d(I("x", r, e, t10), I("filter", r, e, t10), [n[1], n[2]], s, a, [i[1], i[2]])]; } case "_FusedConv2D": { - let { stride: n, pad: s, dataFormat: a, dilations: i, biasArg: p, preluArg: u, activationFunc: c, leakyreluAlpha: l } = WN(r, e, t10); + let { stride: n, pad: s, dataFormat: a, dilations: i, biasArg: p, preluArg: u, activationFunc: c, leakyreluAlpha: l } = uT(r, e, t10); return [o.fused.conv2d({ x: I("x", r, e, t10), filter: I("filter", r, e, t10), strides: [n[1], n[2]], pad: s, dataFormat: a, dilations: [i[1], i[2]], bias: p, activation: c, preluActivationWeights: u, leakyreluAlpha: l })]; } case "FusedDepthwiseConv2dNative": { - let { stride: n, pad: s, dataFormat: a, dilations: i, biasArg: p, preluArg: u, activationFunc: c, leakyreluAlpha: l } = WN(r, e, t10); + let { stride: n, pad: s, dataFormat: a, dilations: i, biasArg: p, preluArg: u, activationFunc: c, leakyreluAlpha: l } = uT(r, e, t10); return [o.fused.depthwiseConv2d({ x: I("x", r, e, t10), filter: I("filter", r, e, t10), strides: [n[1], n[2]], pad: s, dataFormat: a, dilations: [i[1], i[2]], bias: p, activation: c, preluActivationWeights: u, leakyreluAlpha: l })]; } case "Conv2DBackpropInput": case "Conv2dTranspose": { - let n = I("outputShape", r, e, t10), s = I("strides", r, e, t10), a = ll(r, e, t10); + let n = I("outputShape", r, e, t10), s = I("strides", r, e, t10), a = Al(r, e, t10); return [o.conv2dTranspose(I("x", r, e, t10), I("filter", r, e, t10), n, [s[1], s[2]], a)]; } case "DepthwiseConv2dNative": case "DepthwiseConv2d": { - let n = I("strides", r, e, t10), s = ll(r, e, t10), a = I("dilations", r, e, t10), i = I("dataFormat", r, e, t10).toUpperCase(); + let n = I("strides", r, e, t10), s = Al(r, e, t10), a = I("dilations", r, e, t10), i = I("dataFormat", r, e, t10).toUpperCase(); return [o.depthwiseConv2d(I("input", r, e, t10), I("filter", r, e, t10), [n[1], n[2]], s, i, [a[1], a[2]])]; } case "Conv3D": { @@ -10362,7 +10640,7 @@ var UN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var GN = (r, e, t10, o = Ye) => { +var cT = (r, e, t10, o = Ze) => { switch (r.op) { case "Fill": { let n = I("shape", r, e, t10), s = I("dtype", r, e, t10), a = I("value", r, e, t10); @@ -10388,6 +10666,8 @@ var GN = (r, e, t10, o = Ye) => { return [o.randomStandardNormal(I("shape", r, e, t10), I("dtype", r, e, t10), I("seed", r, e, t10))]; case "RandomUniform": return [o.randomUniform(I("shape", r, e, t10), I("minval", r, e, t10), I("maxval", r, e, t10), I("dtype", r, e, t10))]; + case "RandomUniformInt": + return [o.randomUniformInt(I("shape", r, e, t10), I("minval", r, e, t10), I("maxval", r, e, t10), I("seed", r, e, t10))]; case "Range": { let n = I("start", r, e, t10), s = I("stop", r, e, t10), a = I("step", r, e, t10); return [o.range(n, s, a, I("dtype", r, e, t10))]; @@ -10404,23 +10684,23 @@ var GN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -function rS(r, e, t10) { +function yS(r, e, t10) { let o = I("boxes", r, e, t10), n = I("scores", r, e, t10), s = I("maxOutputSize", r, e, t10), a = I("iouThreshold", r, e, t10), i = I("scoreThreshold", r, e, t10), p = I("softNmsSigma", r, e, t10); return { boxes: o, scores: n, maxOutputSize: s, iouThreshold: a, scoreThreshold: i, softNmsSigma: p }; } -var HN = async (r, e, t10, o, n = Ye) => { +var lT = async (r, e, t10, o, n = Ze) => { switch (r.op) { case "NonMaxSuppressionV5": { - let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u, softNmsSigma: c } = rS(r, e, t10), l = await n.image.nonMaxSuppressionWithScoreAsync(s, a, i, p, u, c); + let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u, softNmsSigma: c } = yS(r, e, t10), l = await n.image.nonMaxSuppressionWithScoreAsync(s, a, i, p, u, c); return [l.selectedIndices, l.selectedScores]; } case "NonMaxSuppressionV4": { - let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u } = rS(r, e, t10), c = I("padToMaxOutputSize", r, e, t10), l = await n.image.nonMaxSuppressionPaddedAsync(s, a, i, p, u, c); + let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u } = yS(r, e, t10), c = I("padToMaxOutputSize", r, e, t10), l = await n.image.nonMaxSuppressionPaddedAsync(s, a, i, p, u, c); return [l.selectedIndices, l.validOutputs]; } case "NonMaxSuppressionV3": case "NonMaxSuppressionV2": { - let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u } = rS(r, e, t10); + let { boxes: s, scores: a, maxOutputSize: i, iouThreshold: p, scoreThreshold: u } = yS(r, e, t10); return [await n.image.nonMaxSuppressionAsync(s, a, i, p, u)]; } case "Where": { @@ -10433,7 +10713,7 @@ var HN = async (r, e, t10, o, n = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var KN = (r, e, t10, o = Ye) => { +var mT = (r, e, t10, o = Ze) => { switch (r.op) { case "LowerBound": { let n = I("sortedSequence", r, e, t10), s = I("values", r, e, t10); @@ -10459,26 +10739,26 @@ var KN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var qN = (r, e, t10, o = Ye) => { +var dT = (r, e, t10, o = Ze) => { switch (r.op) { case "Const": return e[r.name]; case "PlaceholderWithDefault": let n = I("default", r, e, t10); - return [Gt(r.name, e, t10) || n]; + return [Bt(r.name, e, t10) || n]; case "Placeholder": - return [Gt(r.name, e, t10)]; + return [Bt(r.name, e, t10)]; case "Identity": case "StopGradient": case "FakeQuantWithMinMaxVars": { let c = I("x", r, e, t10); - return [is(c)]; + return [As(c)]; } case "IdentityN": - return I("x", r, e, t10).map((c) => is(c)); + return I("x", r, e, t10).map((c) => As(c)); case "Snapshot": let s = I("x", r, e, t10); - return [is(s)]; + return [As(s)]; case "Shape": return [o.tensor1d(I("x", r, e, t10).shape, "int32")]; case "ShapeN": @@ -10499,13 +10779,13 @@ var qN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var sf = class { - constructor(e, t10) { - this.keyDType = e, this.valueDType = t10, this.handle = Ce(0), this.tensorMap = /* @__PURE__ */ new Map(), _r(this.handle); - } +var wf = class { get id() { return this.handle.id; } + constructor(e, t10) { + this.keyDType = e, this.valueDType = t10, this.handle = ke(0), this.tensorMap = /* @__PURE__ */ new Map(), Er(this.handle); + } clearAndClose() { this.tensorMap.forEach((e) => e.dispose()), this.tensorMap.clear(), this.handle.dispose(); } @@ -10513,17 +10793,17 @@ var sf = class { return this.tensorMap.size; } tensorSize() { - return Ce(this.size(), "int32"); + return ke(this.size(), "int32"); } async import(e, t10) { this.checkKeyAndValueTensor(e, t10); let o = await e.data(); - return this.tensorMap.forEach((n) => n.dispose()), this.tensorMap.clear(), Ee(() => { - let n = so(t10), s = o.length, a = n.length; + return this.tensorMap.forEach((n) => n.dispose()), this.tensorMap.clear(), De(() => { + let n = po(t10), s = o.length, a = n.length; y.assert(s === a, () => `The number of elements doesn't match, keys has ${s} elements, the values has ${a} elements.`); for (let i = 0; i < s; i++) { let p = o[i], u = n[i]; - _r(u), this.tensorMap.set(p, u); + Er(u), this.tensorMap.set(p, u); } return this.handle; }); @@ -10531,13 +10811,13 @@ var sf = class { async find(e, t10) { this.checkKeyAndValueTensor(e, t10); let o = await e.data(); - return Ee(() => { + return De(() => { let n = []; for (let s = 0; s < o.length; s++) { let a = o[s], i = this.findWithDefault(a, t10); n.push(i); } - return Sr(n); + return vr(n); }); } findWithDefault(e, t10) { @@ -10551,7 +10831,7 @@ var sf = class { throw new Error(`Expect value dtype ${this.valueDType}, but got ${t10.dtype}`); } }; -var jN = async (r, e, t10, o) => { +var fT = async (r, e, t10, o) => { switch (r.op) { case "HashTable": case "HashTableV2": { @@ -10559,7 +10839,7 @@ var jN = async (r, e, t10, o) => { if (n != null) return [n]; { - let s = I("keyDType", r, e, t10), a = I("valueDType", r, e, t10), i = new sf(s, a); + let s = I("keyDType", r, e, t10), a = I("valueDType", r, e, t10), i = new wf(s, a); return o.addHashTable(r.name, i), [i.handle]; } } @@ -10584,7 +10864,7 @@ var jN = async (r, e, t10, o) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var XN = (r, e, t10, o = Ye) => { +var hT = (r, e, t10, o = Ze) => { switch (r.op) { case "ResizeBilinear": { let n = I("images", r, e, t10), s = I("size", r, e, t10), a = I("alignCorners", r, e, t10), i = I("halfPixelCenters", r, e, t10); @@ -10606,7 +10886,7 @@ var XN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var YN = (r, e, t10, o = Ye) => { +var gT = (r, e, t10, o = Ze) => { switch (r.op) { case "Equal": return [o.equal(I("a", r, e, t10), I("b", r, e, t10))]; @@ -10629,11 +10909,13 @@ var YN = (r, e, t10, o = Ye) => { case "Select": case "SelectV2": return [o.where(I("condition", r, e, t10), I("a", r, e, t10), I("b", r, e, t10))]; + case "BitwiseAnd": + return [o.bitwiseAnd(I("a", r, e, t10), I("b", r, e, t10))]; default: throw TypeError(`Node type ${r.op} is not implemented`); } }; -var QN = (r, e, t10, o = Ye) => { +var xT = (r, e, t10, o = Ze) => { switch (r.op) { case "BatchMatMul": case "BatchMatMulV2": @@ -10653,11 +10935,13 @@ var QN = (r, e, t10, o = Ye) => { } let [c, l] = I("args", r, e, t10); return [o.fused.matMul({ a: I("a", r, e, t10), b: I("b", r, e, t10), transposeA: I("transposeA", r, e, t10), transposeB: I("transposeB", r, e, t10), bias: c, activation: s, preluActivationWeights: l, leakyreluAlpha: u })]; + case "MatrixBandPart": + return [o.linalg.bandPart(I("a", r, e, t10), I("numLower", r, e, t10), I("numUpper", r, e, t10))]; default: throw TypeError(`Node type ${r.op} is not implemented`); } }; -var ZN = (r, e, t10, o = Ye) => { +var yT = (r, e, t10, o = Ze) => { switch (r.op) { case "EuclideanNorm": return [o.euclideanNorm(I("x", r, e, t10), I("axis", r, e, t10), I("keepDims", r, e, t10))]; @@ -10672,13 +10956,11 @@ var ZN = (r, e, t10, o = Ye) => { return [o.softmax(I("x", r, e, t10))]; case "LogSoftmax": return [o.logSoftmax(I("x", r, e, t10))]; - case "SparseToDense": - return [o.sparseToDense(I("sparseIndices", r, e, t10), I("outputShape", r, e, t10), I("sparseValues", r, e, t10), I("defaultValue", r, e, t10))]; default: throw TypeError(`Node type ${r.op} is not implemented`); } }; -var JN = (r, e, t10, o = Ye) => { +var bT = (r, e, t10, o = Ze) => { switch (r.op) { case "RaggedGather": { let { outputNestedSplits: n, outputDenseValues: s } = o.raggedGather(I("paramsNestedSplits", r, e, t10), I("paramsDenseValues", r, e, t10), I("indices", r, e, t10), I("outputRaggedRank", r, e, t10)); @@ -10694,7 +10976,7 @@ var JN = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var eT = (r, e, t10, o = Ye) => { +var CT = (r, e, t10, o = Ze) => { switch (r.op) { case "Max": { let i = I("axis", r, e, t10), p = I("keepDims", r, e, t10); @@ -10751,7 +11033,7 @@ var eT = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var tT = (r, e, t10, o = Ye) => { +var wT = (r, e, t10, o = Ze) => { switch (r.op) { case "ConcatV2": case "Concat": { @@ -10786,7 +11068,7 @@ var tT = (r, e, t10, o = Ye) => { return [o.stridedSlice(m, n, s, a, i, p, u, c, l)]; } case "Pack": - return Ee(() => { + return De(() => { let n = I("axis", r, e, t10), s = I("tensors", r, e, t10), a = s[0].shape, i = o.squeeze(s[0]).shape, p = s.map((u) => { let c = y.arraysEqual(u.shape, a); if (!c && !y.arraysEqual(o.squeeze(u).shape, i)) @@ -10820,11 +11102,15 @@ var tT = (r, e, t10, o = Ye) => { let n = I("sparseIndices", r, e, t10), s = I("outputShape", r, e, t10), a = I("sparseValues", r, e, t10), i = I("defaultValue", r, e, t10); return [o.sparseToDense(n, a, s, a.dtype === i.dtype ? i : o.cast(i, a.dtype))]; } + case "TensorScatterUpdate": { + let n = I("indices", r, e, t10), s = I("values", r, e, t10), a = I("tensor", r, e, t10); + return [o.tensorScatterUpdate(a, n, s)]; + } default: throw TypeError(`Node type ${r.op} is not implemented`); } }; -var rT = (r, e, t10, o = Ye) => { +var ST = (r, e, t10, o = Ze) => { switch (r.op) { case "SparseFillEmptyRows": { let { outputIndices: n, outputValues: s, emptyRowIndicator: a, reverseIndexMap: i } = o.sparse.sparseFillEmptyRows(I("indices", r, e, t10), I("values", r, e, t10), I("denseShape", r, e, t10), I("defaultValue", r, e, t10)); @@ -10842,7 +11128,7 @@ var rT = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var oT = (r, e, t10, o = Ye) => { +var IT = (r, e, t10, o = Ze) => { switch (r.op) { case "FFT": return [o.fft(I("x", r, e, t10))]; @@ -10856,8 +11142,10 @@ var oT = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var nT = (r, e, t10, o = Ye) => { +var vT = (r, e, t10, o = Ze) => { switch (r.op) { + case "StaticRegexReplace": + return [o.string.staticRegexReplace(I("input", r, e, t10), I("pattern", r, e, t10), I("rewrite", r, e, t10), I("replaceGlobal", r, e, t10))]; case "StringNGrams": { let { nGrams: n, nGramsSplits: s } = o.string.stringNGrams(I("data", r, e, t10), I("dataSplits", r, e, t10), I("separator", r, e, t10), I("nGramWidths", r, e, t10), I("leftPad", r, e, t10), I("rightPad", r, e, t10), I("padWidth", r, e, t10), I("preserveShortSequences", r, e, t10)); return [n, s]; @@ -10872,7 +11160,7 @@ var nT = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -var sT = (r, e, t10, o = Ye) => { +var kT = (r, e, t10, o = Ze) => { switch (r.op) { case "Cast": return [o.cast(I("x", r, e, t10), I("dtype", r, e, t10))]; @@ -10886,6 +11174,8 @@ var sT = (r, e, t10, o = Ye) => { } case "Reshape": return [o.reshape(I("x", r, e, t10), I("shape", r, e, t10))]; + case "EnsureShape": + return [o.ensureShape(I("x", r, e, t10), I("shape", r, e, t10))]; case "MirrorPad": return [o.mirrorPad(I("x", r, e, t10), I("padding", r, e, t10), I("mode", r, e, t10))]; case "PadV2": @@ -10911,53 +11201,53 @@ var sT = (r, e, t10, o = Ye) => { throw TypeError(`Node type ${r.op} is not implemented`); } }; -function oS(r, e, t10, o, n = Ee) { +function bS(r, e, t10, o, n = De) { let s = ((a, i, p) => { switch (a.category) { case "arithmetic": - return n(() => FN(a, i, p)); - case "basic_math": - return n(() => ON(a, i, p)); - case "control": - return zN(a, i, p); - case "convolution": - return n(() => UN(a, i, p)); - case "creation": - return n(() => GN(a, i, p)); - case "dynamic": - return HN(a, i, p); - case "evaluation": - return n(() => KN(a, i, p)); - case "image": - return n(() => XN(a, i, p)); - case "graph": - return n(() => qN(a, i, p)); - case "logical": - return n(() => YN(a, i, p)); - case "matrices": - return n(() => QN(a, i, p)); - case "normalization": - return n(() => ZN(a, i, p)); - case "ragged": - return n(() => JN(a, i, p)); - case "reduction": return n(() => eT(a, i, p)); - case "slice_join": + case "basic_math": return n(() => tT(a, i, p)); + case "control": + return iT(a, i, p); + case "convolution": + return n(() => pT(a, i, p)); + case "creation": + return n(() => cT(a, i, p)); + case "dynamic": + return lT(a, i, p); + case "evaluation": + return n(() => mT(a, i, p)); + case "image": + return n(() => hT(a, i, p)); + case "graph": + return n(() => dT(a, i, p)); + case "logical": + return n(() => gT(a, i, p)); + case "matrices": + return n(() => xT(a, i, p)); + case "normalization": + return n(() => yT(a, i, p)); + case "ragged": + return n(() => bT(a, i, p)); + case "reduction": + return n(() => CT(a, i, p)); + case "slice_join": + return n(() => wT(a, i, p)); case "sparse": - return n(() => rT(a, i, p)); + return n(() => ST(a, i, p)); case "spectral": - return n(() => oT(a, i, p)); + return n(() => IT(a, i, p)); case "string": - return n(() => nT(a, i, p)); + return n(() => vT(a, i, p)); case "transformation": - return n(() => sT(a, i, p)); + return n(() => kT(a, i, p)); case "hash_table": - return jN(a, i, p, o); + return fT(a, i, p, o); case "custom": - let u = Gd(a.op); + let u = sf(a.op); if (u && u.customExecutor) - return u.customExecutor(new rf(a, i, p)); + return u.customExecutor(new yf(a, i, p)); throw TypeError(`Custom op ${a.op} is not registered.`); default: throw TypeError(`Unknown op '${a.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`); @@ -10965,9 +11255,9 @@ function oS(r, e, t10, o, n = Ee) { })(r, e, t10); return y.isPromise(s) ? s.then((a) => [].concat(a)) : [].concat(s); } -var dl = class { - constructor(e = {}, t10 = {}, o = {}, n = {}) { - this.weightMap = e, this.tensorArrayMap = t10, this.tensorListMap = o, this.functionMap = n, this.rootContext = { id: 0, frameName: "", iterationId: 0 }, this.contexts = [this.rootContext], this.lastId = 0, this.generateCurrentContextIds(); +var Pl = class { + constructor(e = {}, t10 = {}, o = {}, n = {}, s) { + this.weightMap = e, this.tensorArrayMap = t10, this.tensorListMap = o, this.functionMap = n, this.parseNodeNameCache = s, this.rootContext = { id: 0, frameName: "", iterationId: 0 }, this.contexts = [this.rootContext], this.lastId = 0, this.generateCurrentContextIds(); } newFrame(e, t10) { return { id: e, frameName: t10, iterationId: 0 }; @@ -11034,13 +11324,13 @@ var dl = class { this.tensorListMap[t10].clearAndClose(e); } }; -function nS(r, e, t10, o) { - let n = /* @__PURE__ */ new Set(), s = [], a = null, i = null, p = /* @__PURE__ */ new Set(), u = Object.keys(r).map((m) => Ir(m)[0]), c = []; - o != null && (c = o.map((m) => Ir(m.name)[0])); - let l = [...e]; +function CS(r, e, t10, o) { + let n = /* @__PURE__ */ new Set(), s = [], a = null, i = null, p = /* @__PURE__ */ new Set(), u = new Set(Object.keys(r).map((m) => Nr(m)[0])); + o = o || []; + let c = new Set(o.map((m) => Nr(m.name)[0])), l = [...e]; for (; l.length > 0; ) { let m = l.pop(); - if ((sS(m) || T6(m) || _6(m)) && a == null && (a = m, i = a.children.map((d) => d.name).filter((d) => n.has(d))), n.add(m.name), t10[m.name] == null && u.indexOf(m.name) === -1 && c.indexOf(m.name) === -1) { + if ((cu(m) || L5(m) || B5(m)) && a == null && (a = m, i = a.children.map((d) => d.name).filter((d) => n.has(d))), n.add(m.name), t10[m.name] == null && !u.has(m.name) && !c.has(m.name)) { if (m.inputs.length === 0) { s.push(m.name); continue; @@ -11052,42 +11342,85 @@ function nS(r, e, t10, o) { } return { inputs: r, outputs: e, usedNodes: n, missingInputs: s, dynamicNode: a, syncInputs: i }; } -function aT(r, e, t10) { - let { usedNodes: o, inputs: n } = t10, s = [], a = Object.keys(n).map((c) => Ir(c)[0]).map((c) => r.nodes[c]), i = r.initNodes; - a.forEach((c) => { - o.has(c.name) && s.push(c); - }), r.weights.forEach((c) => { - o.has(c.name) && s.push(c); - }), i != null && i.forEach((c) => { - o.has(c.name) && s.push(c); - }); - let p = /* @__PURE__ */ new Set(), u = []; - for (; s.length > 0; ) { - let c = s.pop(); - p.add(c.name), e[c.name] || u.push(c), c.children.forEach((l) => { - !p.has(l.name) && o.has(l.name) && l.inputs.every((m) => p.has(m.name)) && s.push(l); - }); +function NT(r, e) { + let { usedNodes: t10, inputs: o } = e, n = Object.keys(o).map((g) => Nr(g)[0]).map((g) => r.nodes[g]), s = r.initNodes || [], a = (g) => t10.has(typeof g == "string" ? g : g.name); + function i(g) { + return [...new Map(g.map((x) => [x.name, x])).values()]; } - return u; -} -var v6 = ["Switch", "Merge", "Enter", "Exit", "NextIteration", "StatelessIf", "StatelessWhile", "if", "While"]; -var k6 = ["NonMaxSuppressionV2", "NonMaxSuppressionV3", "NonMaxSuppressionV5", "Where"]; -var N6 = ["HashTable", "HashTableV2", "LookupTableImport", "LookupTableImportV2", "LookupTableFind", "LookupTableFindV2", "LookupTableSize", "LookupTableSizeV2"]; -function sS(r) { - return v6.indexOf(r.op) >= 0; -} -function T6(r) { - return k6.indexOf(r.op) >= 0; -} -function _6(r) { - return N6.indexOf(r.op) >= 0; -} -var ku = class { - constructor(e, t10) { - this.graph = e, this.parent = t10, this.compiledMap = /* @__PURE__ */ new Map(), this._weightMap = {}, this.SEPERATOR = ",", this._functions = {}, this._functionExecutorMap = {}, this.keepIntermediateTensors = false, this._outputs = e.outputs, this._inputs = e.inputs, this._initNodes = e.initNodes, this._signature = e.signature, this._functions = e.functions, e.functions != null && Object.keys(e.functions).forEach((o) => { - this._functionExecutorMap[o] = new ku(e.functions[o], this); - }); + let p = i([...n, ...r.weights, ...s]).filter(a), u = i([...p, ...Object.values(r.nodes)]).filter(a), c = new Map(u.map((g) => [g.name, g])), l = {}; + for (let g of u) { + l[g.name] = l[g.name] || 0; + for (let x of g.children) + a(x) || (l[x.name] = Number.POSITIVE_INFINITY), l[x.name] = (l[x.name] || 0) + 1; } + let m = Object.entries(l).filter(([, g]) => g === 0).map(([g]) => g), d = [...m]; + for (; m.length > 0; ) { + let g = m.pop(), x = c.get(g); + for (let b of x.children.filter(a)) + --l[b.name] === 0 && (d.push(b.name), m.push(b.name)); + } + let f = d.map((g) => c.get(g)), h = A5(f, p); + return F5(h, p), h; +} +function A5(r, e) { + let t10 = new Map(r.map((a) => [a.name, a])), o = e.map((a) => a.name), n = new Set(o); + for (; o.length > 0; ) { + let a = o.pop(), i = t10.get(a); + for (let p of i.children) + !t10.has(p.name) || n.has(p.name) || (n.add(p.name), o.push(p.name)); + } + return r.filter((a) => n.has(a.name)); +} +var hc = class extends Error { + constructor(e) { + super(`NodesExecutionOrderError: ${e}`); + } +}; +function F5(r, e) { + let t10 = new Map(r.map((i, p) => [i.name, p])), o = new Set(e.map((i) => i.name)), n = (i) => o.has(typeof i == "string" ? i : i.name), s = new Set(r.map((i) => i.name)), a = (i) => s.has(typeof i == "string" ? i : i.name); + for (let i of r) { + for (let p of i.children.filter(a)) { + if (!t10.has(p.name)) + throw new hc(`Child ${p.name} of node ${i.name} is unreachable.`); + if (t10.get(i.name) > t10.get(p.name)) + throw new hc(`Node ${i.name} is scheduled to run after its child ${p.name}.`); + } + if (!n(i)) + for (let p of i.inputs) { + if (!t10.has(p.name)) + throw new hc(`Input ${p.name} of node ${i.name} is unreachable.`); + if (t10.get(p.name) > t10.get(i.name)) + throw new hc(`Node ${i.name} is scheduled to run before its input ${p.name}.`); + } + } +} +function TT(r) { + let e = new Map(r.map((i, p) => [i.name, p])), t10 = Number.MAX_SAFE_INTEGER, o = r.map((i, p) => cu(i) ? t10 : p), n = (i) => { + let p = o[e.get(i.name)]; + return p == null ? -1 : p; + }, s = r.map((i, p) => i.children.map(n).reduce((u, c) => Math.max(u, c), o[p])), a = /* @__PURE__ */ new Map(); + for (let i = 0; i < r.length; ++i) { + let p = s[i]; + if (p === t10) + continue; + let u = r[i], c = r[p]; + a.has(c.name) || a.set(c.name, []), a.get(c.name).push(u); + } + return a; +} +var P5 = /* @__PURE__ */ new Set(["Switch", "Merge", "Enter", "Exit", "NextIteration", "StatelessIf", "StatelessWhile", "if", "While"]); +var O5 = /* @__PURE__ */ new Set(["NonMaxSuppressionV2", "NonMaxSuppressionV3", "NonMaxSuppressionV5", "Where"]); +var M5 = /* @__PURE__ */ new Set(["HashTable", "HashTableV2", "LookupTableImport", "LookupTableImportV2", "LookupTableFind", "LookupTableFindV2", "LookupTableSize", "LookupTableSizeV2"]); +function cu(r) { + return P5.has(r.op); +} +function L5(r) { + return O5.has(r.op); +} +function B5(r) { + return M5.has(r.op); +} +var op = class { get weightIds() { return this.parent ? this.parent.weightIds : this._weightIds; } @@ -11122,25 +11455,31 @@ var ku = class { get functions() { return Object.keys(this._functions).reduce((e, t10) => (e[t10] = this._functions[t10].signature, e), {}); } + constructor(e, t10) { + this.graph = e, this.parent = t10, this.compiledMap = /* @__PURE__ */ new Map(), this.parseNodeNameCache = /* @__PURE__ */ new Map(), this._weightMap = {}, this.SEPARATOR = ",", this._functions = {}, this._functionExecutorMap = {}, this.keepIntermediateTensors = false, this._outputs = e.outputs, this._inputs = e.inputs, this._initNodes = e.initNodes, this._signature = e.signature, this._functions = e.functions, e.functions != null && Object.keys(e.functions).forEach((o) => { + this._functionExecutorMap[o] = new op(e.functions[o], this); + }); + } getCompilationKey(e, t10) { let o = e.map((s) => s.name).sort(), n = t10.map((s) => s.name).sort(); - return o.join(this.SEPERATOR) + "--" + n.join(this.SEPERATOR); + return o.join(this.SEPARATOR) + "--" + n.join(this.SEPARATOR); } compile(e, t10) { - let o = nS(e, t10, this.weightMap, this._initNodes), { missingInputs: n, dynamicNode: s, syncInputs: a } = o; + let o = CS(e, t10, this.weightMap, this._initNodes), { missingInputs: n, dynamicNode: s, syncInputs: a } = o; if (s != null) throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${a}]`); if (n.length > 0) { - let i = t10.map((u) => u.name), p = Object.keys(e); - throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${p}]. Missing the following inputs: [${n}]`); + let u = t10.map((l) => l.name), c = Object.keys(e); + throw new Error(`Cannot compute the outputs [${u}] from the provided inputs [${c}]. Missing the following inputs: [${n}]`); } - return aT(this.graph, this.weightMap, o); + let i = NT(this.graph, o), p = TT(i); + return { orderedNodes: i, nodeLiveUntilMap: p }; } cloneAndKeepTensor(e) { if (e == null) return null; let t10 = e.clone(); - return _r(t10), t10; + return Er(t10), t10; } cloneTensorList(e) { return e ? e.map((o) => this.cloneAndKeepTensor(o)) : null; @@ -11152,33 +11491,32 @@ var ku = class { this.disposeIntermediateTensors(), e = this.mapInputs(e); let o = Object.keys(e).sort(); this.checkInputs(e), this.checkInputShapeAndType(e), t10 = this.mapOutputs(t10), this.checkOutputs(t10); - let n = o.map((l) => this.graph.nodes[Ir(l)[0]]), s = t10.map((l) => Ir(l)[0]), a = s.map((l) => this.graph.nodes[l]); - a.length === 0 && (a = this._outputs); - let i = this.getCompilationKey(n, a), p = this.compiledMap.get(i); - p == null && (p = this.compile(e, a), this.compiledMap.set(i, p)); + let n = o.map((m) => this.graph.nodes[Nr(m)[0]]), s = t10.map((m) => Nr(m)[0]), a = new Set(s), i = s.map((m) => this.graph.nodes[m]); + i.length === 0 && (i = this._outputs); + let p = this.getCompilationKey(n, i), u = this.compiledMap.get(p); + u == null && (u = this.compile(e, i), this.compiledMap.set(p, u)); try { - this.keepIntermediateTensors = O().getBool("KEEP_INTERMEDIATE_TENSORS"); - } catch (l) { - this.keepIntermediateTensors = false, console.warn(l.message); + this.keepIntermediateTensors = P().getBool("KEEP_INTERMEDIATE_TENSORS"); + } catch (m) { + this.keepIntermediateTensors = false, console.warn(m.message); } - let u = {}, c = {}; - return Ee(() => { - let l = new dl(this.weightMap, u, c, this.functionExecutorMap), m = Object.assign({}, this.weightMap); - this.keepIntermediateTensors && (this.clonedTensorsMap = this.cloneTensorMap(this.weightMap)), Object.keys(e).forEach((h) => { - let [g, x] = Ir(h), b = []; - b[x] = e[h], m[g] = b, this.keepIntermediateTensors && (this.clonedTensorsMap[g] = this.cloneTensorList(b)); + let c = {}, l = {}; + return De(() => { + let m = new Pl(this.weightMap, c, l, this.functionExecutorMap, this.parseNodeNameCache), d = Object.assign({}, this.weightMap); + this.keepIntermediateTensors && (this.clonedTensorsMap = this.cloneTensorMap(this.weightMap)), Object.keys(e).forEach((x) => { + let [b, w] = Nr(x, m), S = []; + S[w] = e[x], d[b] = S, this.keepIntermediateTensors && (this.clonedTensorsMap[b] = this.cloneTensorList(S)); }); - let d = this.getFrozenTensorIds(m), f = {}; - for (let h = 0; h < p.length; h++) { - let g = p[h]; - if (!m[g.name]) { - let x = oS(g, m, l, this._resourceManager); - if (y.isPromise(x)) - throw new Error(`The execution of the op '${g.op}' returned a promise. Please use model.executeAsync() instead.`); - m[g.name] = x, this.keepIntermediateTensors && (this.clonedTensorsMap[g.name] = this.cloneTensorList(x)), this.checkTensorForDisposal(g.name, g, m, l, d, s, f); - } + let f = this.getFrozenTensorIds(d), { orderedNodes: h, nodeLiveUntilMap: g } = u; + for (let x of h) { + if (d[x.name]) + continue; + let b = bS(x, d, m, this._resourceManager); + if (y.isPromise(b)) + throw new Error(`The execution of the op '${x.op}' returned a promise. Please use model.executeAsync() instead.`); + d[x.name] = b, this.keepIntermediateTensors && (this.clonedTensorsMap[x.name] = this.cloneTensorList(b)), this.checkTensorForDisposalWithNodeLiveUntilInfo(x, d, m, f, a, g.get(x.name)); } - return this.parent == null && l.dispose(d), t10.map((h) => Gt(h, m, l)); + return this.parent == null && m.dispose(f), t10.map((x) => Bt(x, d, m)); }); } getFrozenTensorIds(e) { @@ -11186,19 +11524,35 @@ var ku = class { return new Set(t10); } checkTensorForDisposal(e, t10, o, n, s, a, i) { - t10.category === "control" || a.indexOf(e) !== -1 || (o[e].forEach((p) => { - p != null && (i[p.id] = (i[p.id] || 0) + t10.children.length); - }), t10.inputs.forEach((p) => { - if (p.category !== "control") { - let u = EN(p.name, o, n); - u != null && u.forEach((c) => { - if (c && !c.kept && !s.has(c.id)) { + if (!(cu(t10) || a.has(e))) { + for (let p of o[e]) + p != null && (i[p.id] = (i[p.id] || 0) + t10.children.length); + for (let p of t10.inputs) { + if (cu(p)) + continue; + let u = Qw(p.name, o, n); + if (u != null) + for (let c of u) { + if (!c || c.kept || s.has(c.id)) + continue; let l = i[c.id]; l === 1 ? (c.dispose(), delete i[c.id]) : l != null && i[c.id]--; } - }); } - })); + } + } + checkTensorForDisposalWithNodeLiveUntilInfo(e, t10, o, n, s, a) { + function i(p) { + return cu(p) || s.has(p.name); + } + if (!(cu(e) || a == null)) + for (let p of a) { + if (i(p)) + continue; + let u = Qw(p.name, t10, o); + for (let c of u) + !c || c.kept || n.has(c.id) || c.dispose(); + } } async executeAsync(e, t10) { return this._executeAsync(e, t10); @@ -11215,13 +11569,13 @@ var ku = class { async _executeAsync(e, t10, o = false, n = {}, s = {}) { this.disposeIntermediateTensors(), o || (e = this.mapInputs(e), this.checkInputs(e), this.checkInputShapeAndType(e), t10 = this.mapOutputs(t10), this.checkOutputs(t10)); try { - this.keepIntermediateTensors = O().getBool("KEEP_INTERMEDIATE_TENSORS"); + this.keepIntermediateTensors = P().getBool("KEEP_INTERMEDIATE_TENSORS"); } catch (m) { this.keepIntermediateTensors = false, console.warn(m.message); } - let a = new dl(this.weightMap, n, s, this.functionExecutorMap); + let a = new Pl(this.weightMap, n, s, this.functionExecutorMap, this.parseNodeNameCache); this.keepIntermediateTensors && (this.clonedTensorsMap = this.cloneTensorMap(this.weightMap)); - let i = await this.executeWithControlFlow(e, a, t10, o), p = t10.map((m) => Gt(m, i, a)), u = p.map((m) => m.id), c = Object.keys(e).map((m) => e[m].id), l = /* @__PURE__ */ new Set([...u, ...c, ...this.weightIds]); + let i = await this.executeWithControlFlow(e, a, t10, o), p = t10.map((m) => Bt(m, i, a)), u = p.map((m) => m.id), c = Object.keys(e).map((m) => e[m].id), l = /* @__PURE__ */ new Set([...u, ...c, ...this.weightIds]); return Object.values(i).forEach((m) => { m.forEach((d) => { d && !d.isDisposed && !l.has(d.id) && d.dispose(); @@ -11233,25 +11587,25 @@ var ku = class { return this._executeAsync(n, this.outputNodes, true, t10, o); } async executeWithControlFlow(e, t10, o, n) { - let s = Object.keys(e), a = s.map((C) => this.graph.nodes[Ir(C)[0]]), i = o.map((C) => Ir(C)[0]), p = i.map((C) => this.graph.nodes[C]); - p.length === 0 && (p = this._outputs); - let { usedNodes: u, missingInputs: c, dynamicNode: l, syncInputs: m } = nS(e, p, this.weightMap, this._initNodes), d = [...a, ...this.graph.weights, ...this._initNodes || []].map((C) => ({ node: C, contexts: t10.currentContext })), f = Object.assign({}, this.weightMap); - Object.keys(e).forEach((C) => { - let [w, k] = Ir(C), _ = []; - _[k] = e[C], f[w] = _; + let s = Object.keys(e), a = s.map((S) => this.graph.nodes[Nr(S)[0]]), i = o.map((S) => Nr(S)[0]), p = new Set(i), u = i.map((S) => this.graph.nodes[S]); + u.length === 0 && (u = this._outputs); + let { usedNodes: c, missingInputs: l, dynamicNode: m, syncInputs: d } = CS(e, u, this.weightMap, this._initNodes), f = [...a, ...this.graph.weights, ...this._initNodes || []].map((S) => ({ node: S, contexts: t10.currentContext })), h = Object.assign({}, this.weightMap); + Object.keys(e).forEach((S) => { + let [k, _] = Nr(S), E = []; + E[_] = e[S], h[k] = E; }); - let h = {}, g = this.getFrozenTensorIds(f), x = {}; - for (; d.length > 0; ) { - let C = this.processStack(a, d, t10, f, x, g, i, h, u); - await Promise.all(C); + let g = {}, x = this.getFrozenTensorIds(h), b = {}; + for (; f.length > 0; ) { + let S = this.processStack(a, f, t10, h, b, x, p, g, c); + await Promise.all(S); } - l == null && !n && console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."); - let b = p.filter((C) => !sS(C) && !Gt(C.name, f, t10)).map((C) => C.name); - if (b.length > 0) { - let C = ""; - throw l != null && (C = `Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`), new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${C}`); + m == null && !n && console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."); + let w = u.filter((S) => !cu(S) && !Bt(S.name, h, t10)).map((S) => S.name); + if (w.length > 0) { + let S = ""; + throw m != null && (S = `Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`), new Error(`Cannot compute the outputs [${w}] from the provided inputs [${s}]. Consider providing the following inputs: [${l}]. ${S}`); } - return f; + return h; } processStack(e, t10, o, n, s, a, i, p, u) { let c = []; @@ -11259,9 +11613,9 @@ var ku = class { let l = t10.pop(); o.currentContext = l.contexts; let m = ""; - if (l.node.op === "Enter" && I("isConstant", l.node, n, o) && ([m] = as(l.node.name, o)), n[l.node.name] == null) { - let d = oS(l.node, n, o, this._resourceManager); - m || ([m] = as(l.node.name, o)); + if (l.node.op === "Enter" && I("isConstant", l.node, n, o) && ([m] = Ds(l.node.name, o)), n[l.node.name] == null) { + let d = bS(l.node, n, o, this._resourceManager); + m || ([m] = Ds(l.node.name, o)); let f = o.currentContext; y.isPromise(d) ? c.push(d.then((h) => (n[m] = h, this.keepIntermediateTensors && (this.clonedTensorsMap[m] = this.cloneTensorList(h)), o.currentContext = f, this.checkTensorForDisposal(m, l.node, n, o, a, i, p), this.processChildNodes(l.node, t10, o, n, s, u), h))) : (n[m] = d, this.keepIntermediateTensors && (this.clonedTensorsMap[m] = this.cloneTensorList(d)), this.checkTensorForDisposal(m, l.node, n, o, a, i, p), this.processChildNodes(l.node, t10, o, n, s, u)); } else @@ -11271,8 +11625,8 @@ var ku = class { } processChildNodes(e, t10, o, n, s, a) { e.children.forEach((i) => { - let [p] = as(i.name, o); - s[p] || !a.has(i.name) || (i.op === "Merge" ? i.inputNames.some((u) => !!Gt(u, n, o)) && (s[p] = true, t10.push({ contexts: o.currentContext, node: i })) : i.inputNames.every((u) => !!Gt(u, n, o)) && (s[p] = true, t10.push({ contexts: o.currentContext, node: i }))); + let [p] = Ds(i.name, o); + s[p] || !a.has(i.name) || (i.op === "Merge" ? i.inputNames.some((u) => !!Bt(u, n, o)) && (s[p] = true, t10.push({ contexts: o.currentContext, node: i })) : i.inputNames.every((u) => !!Bt(u, n, o)) && (s[p] = true, t10.push({ contexts: o.currentContext, node: i }))); }); } dispose() { @@ -11280,7 +11634,7 @@ var ku = class { } checkInputShapeAndType(e) { Object.keys(e).forEach((t10) => { - let o = e[t10], [n] = Ir(t10), s = this.graph.nodes[n]; + let o = e[t10], [n] = Nr(t10), s = this.graph.nodes[n]; if (s.attrParams.shape && s.attrParams.shape.value) { let a = s.attrParams.shape.value, i = a.length === o.shape.length && o.shape.every((p, u) => a[u] === -1 || a[u] === p); y.assert(i, () => `The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${o.shape}]`); @@ -11299,7 +11653,7 @@ var ku = class { } checkInputs(e) { let t10 = Object.keys(e).filter((o) => { - let [n] = Ir(o); + let [n] = Nr(o); return this.graph.nodes[n] == null; }); if (t10.length > 0) @@ -11314,13 +11668,13 @@ var ku = class { } checkOutputs(e) { e.forEach((t10) => { - let [o] = Ir(t10); + let [o] = Nr(t10); if (!this.graph.nodes[o]) throw new Error(`The output '${t10}' is not found in the graph`); }); } }; -var af = class { +var Sf = class { constructor(e = {}, t10 = {}) { this.hashTableNameToHandle = e, this.hashTableMap = t10; } @@ -11340,12 +11694,9 @@ var af = class { this.hashTableNameToHandle[e].dispose(), delete this.hashTableNameToHandle[e]; } }; -var $6 = "?tfjs-format=file"; -var E6 = "model.json"; -var fl = class { - constructor(e, t10 = {}, o = La) { - this.modelUrl = e, this.loadOptions = t10, this.version = "n/a", this.io = o, t10 == null && (this.loadOptions = {}), this.resourceManager = new af(); - } +var z5 = "?tfjs-format=file"; +var V5 = "model.json"; +var Ol = class { get modelVersion() { return this.version; } @@ -11373,6 +11724,9 @@ var fl = class { get modelStructuredOutputKeys() { return this.structuredOutputKeys; } + constructor(e, t10 = {}, o = pi) { + this.modelUrl = e, this.loadOptions = t10, this.version = "n/a", this.io = o, t10 == null && (this.loadOptions = {}), this.resourceManager = new Sf(); + } findIOHandler() { let e = this.modelUrl; if (e.load != null) @@ -11403,9 +11757,9 @@ var fl = class { } this.signature = o, this.version = `${t10.versions.producer}.${t10.versions.minConsumer}`; let n = this.io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs); - if (this.executor = new ku(ml.Instance.transformGraph(t10, this.signature)), this.executor.weightMap = this.convertTensorMapToTensorsMap(n), this.executor.resourceManager = this.resourceManager, e.modelInitializer != null && e.modelInitializer.node != null) { - let s = ml.Instance.transformGraph(e.modelInitializer); - this.initializer = new ku(s), this.initializer.weightMap = this.executor.weightMap, this.initializer.resourceManager = this.resourceManager, this.initializerSignature = e.initializerSignature; + if (this.executor = new op(Fl.Instance.transformGraph(t10, this.signature)), this.executor.weightMap = this.convertTensorMapToTensorsMap(n), this.executor.resourceManager = this.resourceManager, e.modelInitializer != null && e.modelInitializer.node != null) { + let s = Fl.Instance.transformGraph(e.modelInitializer); + this.initializer = new op(s), this.initializer.weightMap = this.executor.weightMap, this.initializer.resourceManager = this.resourceManager, this.initializerSignature = e.initializerSignature; } return true; } @@ -11424,7 +11778,7 @@ var fl = class { } addStructuredOutputNames(e) { if (this.structuredOutputKeys) { - let t10 = e instanceof it ? [e] : e, o = {}; + let t10 = e instanceof pt ? [e] : e, o = {}; return t10.forEach((n, s) => o[this.structuredOutputKeys[s]] = n), o; } return e; @@ -11439,7 +11793,7 @@ var fl = class { } normalizeInputs(e) { var t10; - if (!(e instanceof it) && !Array.isArray(e)) { + if (!(e instanceof pt) && !Array.isArray(e)) { let s = (t10 = this.signature) === null || t10 === void 0 ? void 0 : t10.inputs; if (s != null) for (let a in s) { @@ -11500,14 +11854,14 @@ var fl = class { this.executor.dispose(), this.initializer && (this.initializer.dispose(), this.resourceIdToCapturedInput && Ot(this.resourceIdToCapturedInput)), this.resourceManager.dispose(); } }; -async function A6(r, e = {}, t10 = La) { +async function W5(r, e = {}, t10 = pi) { if (r == null) throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model"); - e == null && (e = {}), e.fromTFHub && typeof r == "string" && (r = D6(r)); - let o = new fl(r, e, t10); + e == null && (e = {}), e.fromTFHub && typeof r == "string" && (r = G5(r)); + let o = new Ol(r, e, t10); return await o.load(), o; } -function R6(r) { +function U5(r) { if (r == null) throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model"); let e; @@ -11521,36 +11875,36 @@ function R6(r) { throw new Error("Model JSON is missing 'modelTopology'"); if (!("weightsManifest" in o)) throw new Error("Model JSON is missing 'weightsManifest'"); - let s = La.getWeightSpecs(o.weightsManifest), a = La.getModelArtifactsForJSONSync(o, s, n); - e = La.fromMemorySync(a); + let s = pi.getWeightSpecs(o.weightsManifest), a = pi.getModelArtifactsForJSONSync(o, s, n); + e = pi.fromMemorySync(a); } else if ("load" in r) e = r; else if ("modelTopology" in r && "weightSpecs" in r && "weightData" in r) - e = La.fromMemorySync(r); + e = pi.fromMemorySync(r); else throw new Error("Unknown model format"); - let t10 = new fl(e); + let t10 = new Ol(e); return t10.load(), t10; } -function D6(r) { - return r.endsWith("/") || (r = r + "/"), `${r}${E6}${$6}`; +function G5(r) { + return r.endsWith("/") || (r = r + "/"), `${r}${V5}${z5}`; } -var F6 = "4.2.0"; -function j(r, e) { +var H5 = "4.5.0"; +function Y(r, e) { Array.isArray(r) || (r = [r]), r.forEach((t10) => { t10 != null && y.assert(t10.dtype !== "complex64", () => `${e} does not support complex64 tensors in the CPU backend.`); }); } -var O6 = Vt.whereImpl; -var Pi = class extends Zr { - constructor() { - super(), this.blockSize = 48, this.firstUse = true, this.data = new Fo(this, sr()); - } +var K5 = Wt.whereImpl; +var lu = class extends ro { nextDataId() { - return Pi.nextDataId++; + return lu.nextDataId++; + } + constructor() { + super(), this.blockSize = 48, this.firstUse = true, this.data = new Lo(this, ur()); } write(e, t10, o) { - this.firstUse && (this.firstUse = false, O().get("IS_NODE") && S.warn(` + this.firstUse && (this.firstUse = false, P().get("IS_NODE") && C.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. ============================`)); @@ -11592,7 +11946,7 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram let { dtype: t10, complexTensorInfos: o } = this.data.get(e); if (t10 === "complex64") { let n = this.readSync(o.real.dataId), s = this.readSync(o.imag.dataId); - return S.mergeRealAndImagArrays(n, s); + return C.mergeRealAndImagArrays(n, s); } return y.convertBackendValuesAndArrayBuffer(this.data.get(e).values, t10); } @@ -11601,14 +11955,14 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram if (e.dtype === "string") try { let o = t10.map((n) => y.decodeString(n)); - return le(e.shape, e.dtype, o); + return me(e.shape, e.dtype, o); } catch (o) { throw new Error("Failed to decode encoded string bytes into utf-8"); } - return le(e.shape, e.dtype, t10); + return me(e.shape, e.dtype, t10); } makeOutput(e, t10, o) { - return sr().makeTensorFromTensorInfo(this.makeTensorInfo(t10, o, e), this); + return ur().makeTensorFromTensorInfo(this.makeTensorInfo(t10, o, e), this); } disposeData(e, t10 = false) { if (this.data.has(e)) { @@ -11630,9 +11984,9 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return { unreliable: true, reasons: ["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."] }; } where(e) { - j([e], "where"); + Y([e], "where"); let t10 = this.readSync(e.dataId); - return O6(e.shape, t10); + return K5(e.shape, t10); } dispose() { } @@ -11643,136 +11997,136 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return super.epsilon(); } }; -Pi.nextDataId = 0; -var Zp = {}; -Ge(Zp, { addImpl: () => uS, bincountImpl: () => jp, bincountReduceImpl: () => uf, castImpl: () => iS, ceilImpl: () => pS, concatImpl: () => Nu, equalImpl: () => cS, expImpl: () => mS, expm1Impl: () => fS, floorImpl: () => hS, gatherNdImpl: () => pf, gatherV2Impl: () => cf, greaterEqualImpl: () => xS, greaterImpl: () => gS, lessEqualImpl: () => bS, lessImpl: () => yS, linSpaceImpl: () => lf, logImpl: () => CS, maxImpl: () => mf, maximumImpl: () => SS, minimumImpl: () => wS, multiplyImpl: () => hl, negImpl: () => IS, notEqualImpl: () => vS, prodImpl: () => kS, raggedGatherImpl: () => df, raggedRangeImpl: () => ff, raggedTensorToTensorImpl: () => hf, rangeImpl: () => _u, rsqrtImpl: () => NS, scatterImpl: () => Va, sigmoidImpl: () => OT, simpleAbsImpl: () => aS, sliceImpl: () => $u, sparseFillEmptyRowsImpl: () => gf, sparseReshapeImpl: () => xf, sparseSegmentReductionImpl: () => Qp, sqrtImpl: () => LT, squaredDifferenceImpl: () => _S, stridedSliceImpl: () => yf, stringNGramsImpl: () => Eu, stringSplitImpl: () => Au, stringToHashBucketFastImpl: () => Ru, subImpl: () => ES, tileImpl: () => bf, topKImpl: () => Cf, transposeImpl: () => Xp, uniqueImpl: () => Sf }); -function aS(r) { +lu.nextDataId = 0; +var Sc = {}; +He(Sc, { addImpl: () => IS, bincountImpl: () => yc, bincountReduceImpl: () => If, bitwiseAndImpl: () => vS, castImpl: () => SS, ceilImpl: () => kS, concatImpl: () => np, equalImpl: () => NS, expImpl: () => _S, expm1Impl: () => ES, floorDivImpl: () => DS, floorImpl: () => RS, gatherNdImpl: () => vf, gatherV2Impl: () => kf, greaterEqualImpl: () => FS, greaterImpl: () => AS, lessEqualImpl: () => OS, lessImpl: () => PS, linSpaceImpl: () => Nf, logImpl: () => MS, maxImpl: () => Tf, maximumImpl: () => LS, minimumImpl: () => BS, multiplyImpl: () => Ml, negImpl: () => zS, notEqualImpl: () => VS, prodImpl: () => WS, raggedGatherImpl: () => _f, raggedRangeImpl: () => $f, raggedTensorToTensorImpl: () => Ef, rangeImpl: () => ap, rsqrtImpl: () => US, scatterImpl: () => Fs, sigmoidImpl: () => n_, simpleAbsImpl: () => wS, sliceImpl: () => ip, sparseFillEmptyRowsImpl: () => Rf, sparseReshapeImpl: () => Df, sparseSegmentReductionImpl: () => wc, sqrtImpl: () => i_, squaredDifferenceImpl: () => HS, staticRegexReplaceImpl: () => KS, stridedSliceImpl: () => Af, stringNGramsImpl: () => up, stringSplitImpl: () => pp, stringToHashBucketFastImpl: () => cp, subImpl: () => jS, tileImpl: () => Ff, topKImpl: () => Pf, transposeImpl: () => bc, uniqueImpl: () => lp }); +function wS(r) { let e = new Float32Array(r.length); for (let t10 = 0; t10 < r.length; ++t10) e[t10] = Math.abs(r[t10]); return e; } -var P6 = (r) => { +var q5 = (r) => { let { x: e } = r.inputs, t10 = r.backend; - j(e, "abs"); + Y(e, "abs"); let o = new Float32Array(y.sizeFromShape(e.shape)), n = t10.data.get(e.dataId).values; - return o = aS(n), t10.makeOutput(o, e.shape, e.dtype); + return o = wS(n), t10.makeOutput(o, e.shape, e.dtype); }; -var iT = { kernelName: ys, backendName: "cpu", kernelFunc: P6 }; -function Be(r) { +var _T = { kernelName: Gs, backendName: "cpu", kernelFunc: q5 }; +function ze(r) { return (e, t10, o, n, s) => { - let a = S.assertAndGetBroadcastShape(e, t10), i = a.length, p = y.computeStrides(a), u = y.sizeFromShape(a), c = y.getTypedArrayFromDType(s, u), l = e.length, m = t10.length, d = y.computeStrides(e), f = y.computeStrides(t10), h = S.getBroadcastDims(e, a), g = S.getBroadcastDims(t10, a); + let a = C.assertAndGetBroadcastShape(e, t10), i = a.length, p = y.computeStrides(a), u = y.sizeFromShape(a), c = y.getTypedArrayFromDType(s, u), l = e.length, m = t10.length, d = y.computeStrides(e), f = y.computeStrides(t10), h = C.getBroadcastDims(e, a), g = C.getBroadcastDims(t10, a); if (h.length + g.length === 0) for (let x = 0; x < c.length; ++x) c[x] = r(o[x % o.length], n[x % n.length]); else for (let x = 0; x < c.length; ++x) { - let b = y.indexToLoc(x, i, p), C = b.slice(-l); - h.forEach((E) => C[E] = 0); - let w = y.locToIndex(C, l, d), k = b.slice(-m); + let b = y.indexToLoc(x, i, p), w = b.slice(-l); + h.forEach((E) => w[E] = 0); + let S = y.locToIndex(w, l, d), k = b.slice(-m); g.forEach((E) => k[E] = 0); let _ = y.locToIndex(k, m, f); - c[x] = r(o[w], n[_]); + c[x] = r(o[S], n[_]); } return [c, a]; }; } -function Ht(r) { +function Kt(r) { let { inputs: e, backend: t10 } = r, { real: o, imag: n } = e, s = t10.data.get(o.dataId).values, a = t10.data.get(n.dataId).values, i = t10.makeTensorInfo(o.shape, "complex64"), p = t10.data.get(i.dataId); return p.complexTensorInfos = { real: t10.makeTensorInfo(o.shape, "float32", s), imag: t10.makeTensorInfo(n.shape, "float32", a) }, i; } -var uT = { kernelName: ri, backendName: "cpu", kernelFunc: Ht }; -function Kp(r, e, t10 = "float32") { +var $T = { kernelName: Ti, backendName: "cpu", kernelFunc: Kt }; +function gc(r, e, t10 = "float32") { if (t10 === "complex64") { - let n = Kp(r, e, "float32"), s = Kp(r, e, "float32"); - return Ht({ inputs: { real: n, imag: s }, backend: r }); + let n = gc(r, e, "float32"), s = gc(r, e, "float32"); + return Kt({ inputs: { real: n, imag: s }, backend: r }); } let o = y.makeZerosTypedArray(y.sizeFromShape(e), t10); return r.makeTensorInfo(e, t10, o); } -function ir(r) { +function lr(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; return t10.incRef(o.dataId), { dataId: o.dataId, shape: o.shape, dtype: o.dtype }; } -var pT = { kernelName: mo, backendName: "cpu", kernelFunc: ir }; -function Io(r) { +var ET = { kernelName: xo, backendName: "cpu", kernelFunc: lr }; +function To(r) { let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.data.get(o.dataId).complexTensorInfos.real, s = t10.data.get(n.dataId).values; return t10.makeTensorInfo(n.shape, n.dtype, s); } -var cT = { kernelName: di, backendName: "cpu", kernelFunc: Io }; -function iS(r, e, t10, o) { +var RT = { kernelName: zi, backendName: "cpu", kernelFunc: To }; +function SS(r, e, t10, o) { if (o === "int32") { let n = Int32Array.from(r); return [e, "int32", n]; } if (o === "bool") { - let n = y.toTypedArray([0], t10), [s, a] = Be((i, p) => i !== p ? 1 : 0)(e, [], r, n, "bool"); + let n = y.toTypedArray([0], t10), [s, a] = ze((i, p) => i !== p ? 1 : 0)(e, [], r, n, "bool"); return [a, "bool", s]; } throw new Error(`Error in Cast: failed to cast ${t10} to ${o}`); } -function vo(r) { +function _o(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dtype: s } = o; if (s === "complex64") { if (n.dtype === "complex64") - return ir({ inputs: { x: n }, backend: t10 }); - let c = Kp(t10, n.shape, n.dtype), l = vo({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), m = Ht({ inputs: { real: l, imag: c }, backend: t10 }); + return lr({ inputs: { x: n }, backend: t10 }); + let c = gc(t10, n.shape, n.dtype), l = _o({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), m = Kt({ inputs: { real: l, imag: c }, backend: t10 }); return t10.disposeIntermediateTensorInfo(c), t10.disposeIntermediateTensorInfo(l), m; } if (n.dtype === "complex64") { - let c = Io({ inputs: { input: n }, backend: t10 }), l = vo({ inputs: { x: c }, backend: t10, attrs: { dtype: s } }); + let c = To({ inputs: { input: n }, backend: t10 }), l = _o({ inputs: { x: c }, backend: t10, attrs: { dtype: s } }); return t10.disposeIntermediateTensorInfo(c), l; } if (!y.hasEncodingLoss(n.dtype, s)) { - let c = ir({ inputs: { x: n }, backend: t10 }); + let c = lr({ inputs: { x: n }, backend: t10 }); return { dataId: c.dataId, shape: c.shape, dtype: s }; } - let a = t10.data.get(n.dataId).values, [i, p, u] = iS(a, n.shape, n.dtype, s); + let a = t10.data.get(n.dataId).values, [i, p, u] = SS(a, n.shape, n.dtype, s); return t10.makeTensorInfo(i, p, u); } -var lT = { kernelName: co, backendName: "cpu", kernelFunc: vo }; -function Qe(r, e, t10, o) { +var DT = { kernelName: ho, backendName: "cpu", kernelFunc: _o }; +function je(r, e, t10, o) { return t10 == null ? ({ inputs: n, backend: s }) => { let { a, b: i } = n, p = s; - j([a, i], r); - let u = p.data.get(a.dataId).values, c = p.data.get(i.dataId).values, l = a.dtype === "string" ? S.fromUint8ToStringArray(u) : u, m = a.dtype === "string" ? S.fromUint8ToStringArray(c) : c, d = o || a.dtype, [f, h] = e(a.shape, i.shape, l, m, d); + Y([a, i], r); + let u = p.data.get(a.dataId).values, c = p.data.get(i.dataId).values, l = a.dtype === "string" ? C.fromUint8ToStringArray(u) : u, m = a.dtype === "string" ? C.fromUint8ToStringArray(c) : c, d = o || a.dtype, [f, h] = e(a.shape, i.shape, l, m, d); return p.makeTensorInfo(h, d, f); } : ({ inputs: n, backend: s }) => { let { a, b: i } = n, p = s; if (a.dtype === "complex64" || i.dtype === "complex64") { - let u = vo({ inputs: { x: a }, backend: p, attrs: { dtype: "complex64" } }), c = p.data.get(u.dataId), l = c.complexTensorInfos.real, m = c.complexTensorInfos.imag, d = p.data.get(l.dataId).values, f = p.data.get(m.dataId).values, h = vo({ inputs: { x: i }, backend: p, attrs: { dtype: "complex64" } }), g = p.data.get(h.dataId), x = g.complexTensorInfos.real, b = g.complexTensorInfos.imag, C = p.data.get(x.dataId).values, w = p.data.get(b.dataId).values, [k, _, E] = t10(a.shape, i.shape, d, f, C, w), A = p.makeTensorInfo(E, "float32", k), R = p.makeTensorInfo(E, "float32", _), D = Ht({ inputs: { real: A, imag: R }, backend: p }); - return p.disposeIntermediateTensorInfo(u), p.disposeIntermediateTensorInfo(h), p.disposeIntermediateTensorInfo(A), p.disposeIntermediateTensorInfo(R), D; + let u = _o({ inputs: { x: a }, backend: p, attrs: { dtype: "complex64" } }), c = p.data.get(u.dataId), l = c.complexTensorInfos.real, m = c.complexTensorInfos.imag, d = p.data.get(l.dataId).values, f = p.data.get(m.dataId).values, h = _o({ inputs: { x: i }, backend: p, attrs: { dtype: "complex64" } }), g = p.data.get(h.dataId), x = g.complexTensorInfos.real, b = g.complexTensorInfos.imag, w = p.data.get(x.dataId).values, S = p.data.get(b.dataId).values, [k, _, E] = t10(a.shape, i.shape, d, f, w, S), R = p.makeTensorInfo(E, "float32", k), D = p.makeTensorInfo(E, "float32", _), F = Kt({ inputs: { real: R, imag: D }, backend: p }); + return p.disposeIntermediateTensorInfo(u), p.disposeIntermediateTensorInfo(h), p.disposeIntermediateTensorInfo(R), p.disposeIntermediateTensorInfo(D), F; } else { let u = p.data.get(a.dataId).values, c = p.data.get(i.dataId).values, l = o || a.dtype, [m, d] = e(a.shape, i.shape, u, c, l); return p.makeTensorInfo(d, l, m); } }; } -function qp(r) { +function xc(r) { return (e, t10, o, n, s, a) => { - let i = S.assertAndGetBroadcastShape(e, t10), p = y.sizeFromShape(i), u = i.length, c = y.computeStrides(i), l = y.getTypedArrayFromDType("float32", p), m = y.getTypedArrayFromDType("float32", p), d = S.getBroadcastDims(e, i), f = S.getBroadcastDims(t10, i), h = S.mergeRealAndImagArrays(o, n), g = S.mergeRealAndImagArrays(s, a), x = e.length, b = y.computeStrides(e), C = t10.length, w = y.computeStrides(t10); + let i = C.assertAndGetBroadcastShape(e, t10), p = y.sizeFromShape(i), u = i.length, c = y.computeStrides(i), l = y.getTypedArrayFromDType("float32", p), m = y.getTypedArrayFromDType("float32", p), d = C.getBroadcastDims(e, i), f = C.getBroadcastDims(t10, i), h = C.mergeRealAndImagArrays(o, n), g = C.mergeRealAndImagArrays(s, a), x = e.length, b = y.computeStrides(e), w = t10.length, S = y.computeStrides(t10); if (d.length + f.length === 0) for (let k = 0; k < l.length; k++) { - let _ = k % h.length, E = k % g.length, A = r(h[_ * 2], h[_ * 2 + 1], g[E * 2], g[E * 2 + 1]); - l[k] = A.real, m[k] = A.imag; + let _ = k % h.length, E = k % g.length, R = r(h[_ * 2], h[_ * 2 + 1], g[E * 2], g[E * 2 + 1]); + l[k] = R.real, m[k] = R.imag; } else for (let k = 0; k < l.length; k++) { let _ = y.indexToLoc(k, u, c), E = _.slice(-x); d.forEach((M) => E[M] = 0); - let A = y.locToIndex(E, x, b), R = _.slice(-C); - f.forEach((M) => R[M] = 0); - let D = y.locToIndex(R, C, w), P = r(h[A * 2], h[A * 2 + 1], g[D * 2], g[D * 2 + 1]); - l[k] = P.real, m[k] = P.imag; + let R = y.locToIndex(E, x, b), D = _.slice(-w); + f.forEach((M) => D[M] = 0); + let F = y.locToIndex(D, w, S), O = r(h[R * 2], h[R * 2 + 1], g[F * 2], g[F * 2 + 1]); + l[k] = O.real, m[k] = O.imag; } return [l, m, i]; }; } -var uS = Be((r, e) => r + e); -var M6 = qp((r, e, t10, o) => ({ real: r + t10, imag: e + o })); -var Xs = Qe(eo, uS, M6); -var mT = { kernelName: eo, backendName: "cpu", kernelFunc: Xs }; -function jp(r, e, t10, o, n) { +var IS = ze((r, e) => r + e); +var j5 = xc((r, e, t10, o) => ({ real: r + t10, imag: e + o })); +var _a = je(no, IS, j5); +var AT = { kernelName: no, backendName: "cpu", kernelFunc: _a }; +function yc(r, e, t10, o, n) { let s = y.sizeFromShape(o), a = y.makeZerosTypedArray(n, t10); for (let i = 0; i < r.length; i++) { let p = r[i]; @@ -11782,8 +12136,8 @@ function jp(r, e, t10, o, n) { } return a; } -function uf(r, e, t10, o = false) { - let n = r.shape[0], s = r.shape[1], a = le([n, t10], e.dtype); +function If(r, e, t10, o = false) { + let n = r.shape[0], s = r.shape[1], a = me([n, t10], e.dtype); for (let i = 0; i < n; i++) for (let p = 0; p < s; p++) { let u = r.get(i, p); @@ -11793,38 +12147,40 @@ function uf(r, e, t10, o = false) { } return a; } -function vr(r) { +var vS = ze((r, e) => r & e); +var X5 = je(ml, vS); +var FT = { kernelName: ml, backendName: "cpu", kernelFunc: X5 }; +function jt(r) { return (e, t10, o) => { - let n = y.getTypedArrayFromDType(t10, e.length); + let n = y.getArrayFromDType(t10, e.length); for (let s = 0; s < e.length; ++s) n[s] = r(e[s], o); return n; }; } -function we(r, e, t10) { +function Ie(r, e, t10) { + let o = jt(e); + return Dr(r, o, t10); +} +function Dr(r, e, t10) { return ({ inputs: o, attrs: n, backend: s }) => { let { x: a } = o; - if (j(a, r), a.dtype === "string" || t10 === "string") - throw new Error("unaryKernelFunc does not support string input/output"); - let i = s, p = i.data.get(a.dataId).values, u = y.sizeFromShape(a.shape), c = t10 || a.dtype, l = y.getArrayFromDType(c, u); - for (let m = 0; m < u; ++m) - l[m] = e(p[m], n); + Y(a, r); + let i = s, p = i.data.get(a.dataId).values, u; + if (a.dtype === "string") { + if (!Array.isArray(p)) + throw new Error("String tensor's value was not an instance of Array"); + u = C.fromUint8ToStringArray(p); + } else + u = p; + let c = t10 || a.dtype, l = e(u, c, n); return i.makeTensorInfo(a.shape, c, l); }; } -function ko(r, e, t10) { - return ({ inputs: o, attrs: n, backend: s }) => { - let { x: a } = o; - if (j(a, r), a.dtype === "string" || t10 === "string") - throw new Error("unaryKernelFunc does not support string input/output"); - let i = s, p = i.data.get(a.dataId).values, u = t10 || a.dtype, c = e(p, u, n); - return i.makeTensorInfo(a.shape, u, c); - }; -} -var pS = vr((r) => Math.ceil(r)); -var L6 = ko(Wo, pS); -var dT = { kernelName: Wo, backendName: "cpu", kernelFunc: L6 }; -function Nu(r, e, t10, o) { +var kS = jt((r) => Math.ceil(r)); +var Y5 = Dr(Jo, kS); +var PT = { kernelName: Jo, backendName: "cpu", kernelFunc: Y5 }; +function np(r, e, t10, o) { let n = y.getArrayFromDType(t10, y.sizeFromShape(e)); if (o && t10 !== "string") { let s = 0; @@ -11835,7 +12191,7 @@ function Nu(r, e, t10, o) { } else { let s = 0; r.forEach((a) => { - let i = t10 === "string" ? S.fromUint8ToStringArray(a.vals) : a.vals, p = 0; + let i = t10 === "string" ? C.fromUint8ToStringArray(a.vals) : a.vals, p = 0; for (let u = 0; u < a.shape[0]; ++u) { let c = u * e[1] + s; for (let l = 0; l < a.shape[1]; ++l) @@ -11846,20 +12202,23 @@ function Nu(r, e, t10, o) { } return n; } -var cS = Be((r, e) => r === e ? 1 : 0); -var lS = Qe(en, cS, null, "bool"); -var fT = { kernelName: en, backendName: "cpu", kernelFunc: lS }; -var mS = vr((r) => Math.exp(r)); -var dS = ko(tn, mS, "float32"); -var hT = { kernelName: tn, backendName: "cpu", kernelFunc: dS }; -var fS = vr((r) => Math.expm1(r)); -var B6 = ko(fa, fS); -var gT = { kernelName: fa, backendName: "cpu", kernelFunc: B6 }; -var hS = vr((r) => Math.floor(r)); -var V6 = ko(on, hS); -var xT = { kernelName: on, backendName: "cpu", kernelFunc: V6 }; -function pf(r, e, t10, o, n, s, a, i, p) { - let u = le([o, s], t10); +var NS = ze((r, e) => r === e ? 1 : 0); +var TS = je(hn, NS, null, "bool"); +var OT = { kernelName: hn, backendName: "cpu", kernelFunc: TS }; +var _S = jt((r) => Math.exp(r)); +var $S = Dr(gn, _S, "float32"); +var MT = { kernelName: gn, backendName: "cpu", kernelFunc: $S }; +var ES = jt((r) => Math.expm1(r)); +var Q5 = Dr(xn, ES); +var LT = { kernelName: xn, backendName: "cpu", kernelFunc: Q5 }; +var RS = jt((r) => Math.floor(r)); +var Z5 = Dr(bn, RS); +var BT = { kernelName: bn, backendName: "cpu", kernelFunc: Z5 }; +var DS = ze((r, e) => Math.floor(r / e)); +var J5 = je(Cn, DS, null, "int32"); +var zT = { kernelName: Cn, backendName: "cpu", kernelFunc: J5 }; +function vf(r, e, t10, o, n, s, a, i, p) { + let u = me([o, s], t10); for (let c = 0; c < o; c++) { let l = [], m = 0; for (let d = 0; d < n; d++) { @@ -11873,8 +12232,8 @@ function pf(r, e, t10, o, n, s, a, i, p) { } return u; } -function cf(r, e, t10) { - let o = le(t10, r.dtype); +function kf(r, e, t10) { + let o = me(t10, r.dtype); for (let n = 0; n < o.size; ++n) { let a = o.indexToLoc(n).slice(), i = a[0], p = a[2], u = e.locToIndex([i, p]); a[2] = e.values[u]; @@ -11883,29 +12242,29 @@ function cf(r, e, t10) { } return o; } -var gS = Be((r, e) => r > e ? 1 : 0); -var z6 = Qe(un, gS, null, "bool"); -var yT = { kernelName: un, backendName: "cpu", kernelFunc: z6 }; -var xS = Be((r, e) => r >= e ? 1 : 0); -var W6 = Qe(pn, xS, null, "bool"); -var bT = { kernelName: pn, backendName: "cpu", kernelFunc: W6 }; -var yS = Be((r, e) => r < e ? 1 : 0); -var U6 = Qe(mn, yS, null, "bool"); -var CT = { kernelName: mn, backendName: "cpu", kernelFunc: U6 }; -var bS = Be((r, e) => r <= e ? 1 : 0); -var G6 = Qe(dn, bS, null, "bool"); -var ST = { kernelName: dn, backendName: "cpu", kernelFunc: G6 }; -function lf(r, e, t10) { +var AS = ze((r, e) => r > e ? 1 : 0); +var e8 = je(In, AS, null, "bool"); +var VT = { kernelName: In, backendName: "cpu", kernelFunc: e8 }; +var FS = ze((r, e) => r >= e ? 1 : 0); +var t8 = je(vn, FS, null, "bool"); +var WT = { kernelName: vn, backendName: "cpu", kernelFunc: t8 }; +var PS = ze((r, e) => r < e ? 1 : 0); +var r8 = je($n, PS, null, "bool"); +var UT = { kernelName: $n, backendName: "cpu", kernelFunc: r8 }; +var OS = ze((r, e) => r <= e ? 1 : 0); +var o8 = je(En, OS, null, "bool"); +var GT = { kernelName: En, backendName: "cpu", kernelFunc: o8 }; +function Nf(r, e, t10) { let o = (e - r) / (t10 - 1), n = y.makeZerosTypedArray(t10, "float32"); n[0] = r; for (let s = 1; s < n.length; s++) n[s] = n[s - 1] + o; return n; } -var CS = vr((r) => Math.log(r)); -var H6 = ko(fn, CS); -var wT = { kernelName: fn, backendName: "cpu", kernelFunc: H6 }; -function mf(r, e, t10, o) { +var MS = jt((r) => Math.log(r)); +var n8 = Dr(Dn, MS); +var HT = { kernelName: Dn, backendName: "cpu", kernelFunc: n8 }; +function Tf(r, e, t10, o) { let n = y.getTypedArrayFromDType(o, y.sizeFromShape(t10)); for (let s = 0; s < n.length; ++s) { let a = s * e, i = r[a]; @@ -11917,31 +12276,31 @@ function mf(r, e, t10, o) { } return n; } -var SS = Be((r, e) => Math.max(r, e)); -var K6 = Qe(bn, SS); -var IT = { kernelName: bn, backendName: "cpu", kernelFunc: K6 }; -var wS = Be((r, e) => Math.min(r, e)); -var q6 = Qe(In, wS); -var vT = { kernelName: In, backendName: "cpu", kernelFunc: q6 }; -var hl = Be((r, e) => r * e); -var j6 = qp((r, e, t10, o) => ({ real: r * t10 - e * o, imag: r * o + e * t10 })); -var Tu = Qe(kn, hl, j6); -var kT = { kernelName: kn, backendName: "cpu", kernelFunc: Tu }; -function IS(r, e, t10) { +var LS = ze((r, e) => Math.max(r, e)); +var s8 = je(Bn, LS); +var KT = { kernelName: Bn, backendName: "cpu", kernelFunc: s8 }; +var BS = ze((r, e) => Math.min(r, e)); +var a8 = je(Un, BS); +var qT = { kernelName: Un, backendName: "cpu", kernelFunc: a8 }; +var Ml = ze((r, e) => r * e); +var i8 = xc((r, e, t10, o) => ({ real: r * t10 - e * o, imag: r * o + e * t10 })); +var sp = je(Kn, Ml, i8); +var jT = { kernelName: Kn, backendName: "cpu", kernelFunc: sp }; +function zS(r, e, t10) { let o = y.createScalarValue(-1, t10); - return hl([], e, o, r, t10); + return Ml([], e, o, r, t10); } -function X6(r) { +function u8(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; - j(o, "neg"); - let n = t10.data.get(o.dataId).values, [s, a] = IS(n, o.shape, o.dtype); + Y(o, "neg"); + let n = t10.data.get(o.dataId).values, [s, a] = zS(n, o.shape, o.dtype); return t10.makeTensorInfo(a, o.dtype, s); } -var NT = { kernelName: vs, backendName: "cpu", kernelFunc: X6 }; -var vS = Be((r, e) => r !== e ? 1 : 0); -var Y6 = Qe(Nn, vS, null, "bool"); -var TT = { kernelName: Nn, backendName: "cpu", kernelFunc: Y6 }; -function Xp(r, e, t10, o, n) { +var XT = { kernelName: oa, backendName: "cpu", kernelFunc: u8 }; +var VS = ze((r, e) => r !== e ? 1 : 0); +var p8 = je(qn, VS, null, "bool"); +var YT = { kernelName: qn, backendName: "cpu", kernelFunc: p8 }; +function bc(r, e, t10, o, n) { let s = e.length, a = y.sizeFromShape(e), i = y.computeStrides(e), p = y.computeStrides(n), u = y.getTypedArrayFromDType(t10, y.sizeFromShape(n)); for (let c = 0; c < a; ++c) { let l = y.indexToLoc(c, s, i), m = new Array(l.length); @@ -11954,16 +12313,16 @@ function Xp(r, e, t10, o, n) { } function St(r) { let { inputs: e, attrs: t10, backend: o } = r, { x: n } = e, { perm: s } = t10; - j(n, "transpose"); + Y(n, "transpose"); let a = n.shape.length, i = new Array(a); for (let l = 0; l < i.length; l++) i[l] = n.shape[s[l]]; - let p = o.data.get(n.dataId).values, u = Xp(p, n.shape, n.dtype, s, i); + let p = o.data.get(n.dataId).values, u = bc(p, n.shape, n.dtype, s, i); return { dataId: o.write(u, i, n.dtype), shape: i, dtype: n.dtype }; } -var _T = { kernelName: ro, backendName: "cpu", kernelFunc: St }; -function kS(r, e, t10, o) { - let [n, s] = S.computeOutAndReduceShapes(r, o), a = dt(e, "int32"), i = y.makeZerosTypedArray(y.sizeFromShape(n), a), p = y.sizeFromShape(s); +var QT = { kernelName: ao, backendName: "cpu", kernelFunc: St }; +function WS(r, e, t10, o) { + let [n, s] = C.computeOutAndReduceShapes(r, o), a = dt(e, "int32"), i = y.makeZerosTypedArray(y.sizeFromShape(n), a), p = y.sizeFromShape(s); for (let u = 0; u < i.length; ++u) { let c = u * p, l = 1; for (let m = 0; m < p; ++m) @@ -11972,16 +12331,16 @@ function kS(r, e, t10, o) { } return { outVals: i, outShape: n, outDtype: a }; } -function Q6(r) { +function c8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - j(n, "prod"); - let i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = S.getAxesPermutation(p, i), c = p, l = n, m = []; - u != null && (l = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), m.push(l), c = S.getInnerMostAxes(c.length, i)); - let d = t10.data.get(l.dataId).values, { outVals: f, outShape: h, outDtype: g } = kS(l.shape, l.dtype, d, c), x = h; - return a && (x = S.expandShapeToKeepDim(h, p)), m.forEach((b) => t10.disposeIntermediateTensorInfo(b)), t10.makeTensorInfo(x, g, f); + Y(n, "prod"); + let i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = C.getAxesPermutation(p, i), c = p, l = n, m = []; + u != null && (l = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), m.push(l), c = C.getInnerMostAxes(c.length, i)); + let d = t10.data.get(l.dataId).values, { outVals: f, outShape: h, outDtype: g } = WS(l.shape, l.dtype, d, c), x = h; + return a && (x = C.expandShapeToKeepDim(h, p)), m.forEach((b) => t10.disposeIntermediateTensorInfo(b)), t10.makeTensorInfo(x, g, f); } -var $T = { kernelName: Dn, backendName: "cpu", kernelFunc: Q6 }; -function Z6(r, e, t10) { +var ZT = { kernelName: es, backendName: "cpu", kernelFunc: c8 }; +function l8(r, e, t10) { r.forEach((o, n) => { if (o < 0 || o >= t10) { let s = y.indexToLoc(n, e.length, y.computeStrides(e)).join(","); @@ -11989,7 +12348,7 @@ function Z6(r, e, t10) { } }); } -function J6(r, e) { +function m8(r, e) { for (let t10 = 0; t10 < r.length; ++t10) { let o = r[t10], n = t10 === r.length - 1 ? e : r[t10 + 1].length; if (o.length === 0) @@ -12003,9 +12362,9 @@ function J6(r, e) { throw new Error("Ragged splits must be sorted in ascending order"); } } -function ej(r, e, t10, o) { +function d8(r, e, t10, o) { let n = [], s = 0, a = e.length - 1 + t10.length, i = new Array(a).fill(null).map(() => [0]); - J6(t10, o); + m8(t10, o); let p = 1; for (let u = 0; u < e.length - 1; ++u) { p *= e[u]; @@ -12028,7 +12387,7 @@ function ej(r, e, t10, o) { } return { outSplits: i, valueSlices: n, numValues: s }; } -function tj(r) { +function f8(r) { let e = []; for (let t10 = 0; t10 < r.length; ++t10) { let o = r[t10].length, n = y.getArrayFromDType("int32", o); @@ -12036,7 +12395,7 @@ function tj(r) { } return e; } -function ET(r, e) { +function JT(r, e) { let t10 = r.slice(0, e); for (; t10.length < e; ) t10.push(1); @@ -12044,8 +12403,8 @@ function ET(r, e) { t10[e - 1] *= r[o]; return t10; } -function rj(r, e, t10, o, n, s) { - let a = ET(e, 2)[1], i = ET(s, 2)[1], p = 0; +function h8(r, e, t10, o, n, s) { + let a = JT(e, 2)[1], i = JT(s, 2)[1], p = 0; for (let u of t10) for (let c = u[0]; c < u[1]; ++c) { for (let l = 0; l < o; ++l) @@ -12053,25 +12412,25 @@ function rj(r, e, t10, o, n, s) { ++p; } } -function oj(r, e, t10, o, n) { +function g8(r, e, t10, o, n) { let s = e.slice(); s[0] = n; let a = y.getArrayFromDType(t10, y.sizeFromShape(s)), i = r.length, p = i === 0 ? 0 : i / e[0]; - return rj(r, e, o, p, a, s), [a, s]; + return h8(r, e, o, p, a, s), [a, s]; } -function df(r, e, t10, o, n, s, a, i) { +function _f(r, e, t10, o, n, s, a, i) { if (r.length === 0) throw new Error("paramsNestedSplits must be non empty"); if (e[0].length === 0) throw new Error("Split tensors must not be scalars"); let p = e[0][0] - 1; - if (Z6(s, a, p), o.length === 0) + if (l8(s, a, p), o.length === 0) throw new Error("params.rank must be nonzero"); - let u = o[0], { outSplits: c, valueSlices: l, numValues: m } = ej(s, a, r, u), d = tj(c), f = oj(t10, o, n, l, m); + let u = o[0], { outSplits: c, valueSlices: l, numValues: m } = d8(s, a, r, u), d = f8(c), f = g8(t10, o, n, l, m); return [d, f[0], f[1]]; } -var AT = 2147483647; -function ff(r, e, t10, o, n, s, a) { +var e_ = 2147483647; +function $f(r, e, t10, o, n, s, a) { if (e.length > 1) throw new Error("starts must be a scalar or vector"); if (n.length > 1) @@ -12086,44 +12445,44 @@ function ff(r, e, t10, o, n, s, a) { let l = c.length === 0 ? 1 : c[0], m = y.getArrayFromDType("int32", l + 1); m[0] = 0; for (let g = 0; g < l; ++g) { - let x = i ? r[0] : r[g], b = p ? o[0] : o[g], C = u ? s[0] : s[g]; - if (C === 0) + let x = i ? r[0] : r[g], b = p ? o[0] : o[g], w = u ? s[0] : s[g]; + if (w === 0) throw new Error("Requires delta != 0"); - let w; - if (C > 0 && b < x || C < 0 && b > x) - w = 0; - else if (w = Math.ceil(Math.abs((b - x) / C)), w > AT) - throw new Error(`Requires ((limit - start) / delta) <= ${AT}`); - m[g + 1] = m[g] + w; + let S; + if (w > 0 && b < x || w < 0 && b > x) + S = 0; + else if (S = Math.ceil(Math.abs((b - x) / w)), S > e_) + throw new Error(`Requires ((limit - start) / delta) <= ${e_}`); + m[g + 1] = m[g] + S; } let d = m[l], f = y.getArrayFromDType(t10, d), h = 0; for (let g = 0; g < l; ++g) { - let x = m[g + 1] - m[g], b = i ? r[0] : r[g], C = u ? s[0] : s[g]; - for (let w = 0; w < x; ++w) - f[h++] = b, b += C; + let x = m[g + 1] - m[g], b = i ? r[0] : r[g], w = u ? s[0] : s[g]; + for (let S = 0; S < x; ++S) + f[h++] = b, b += w; } return [m, f]; } -var No = S.RowPartitionType; -var Yp = class { +var $o = C.RowPartitionType; +var Cc = class { constructor(e, t10, o, n, s, a, i, p, u, c) { - this.shape = e, this.shapeShape = t10, this.values = o, this.valuesShape = n, this.valuesDType = s, this.defaultValue = a, this.defaultValueShape = i, this.rowPartitionValues = p, this.rowPartitionValuesShapes = u, this.rowPartitionTypes = S.getRowPartitionTypesHelper(c), this.raggedRank = S.getRaggedRank(this.rowPartitionTypes); + this.shape = e, this.shapeShape = t10, this.values = o, this.valuesShape = n, this.valuesDType = s, this.defaultValue = a, this.defaultValueShape = i, this.rowPartitionValues = p, this.rowPartitionValuesShapes = u, this.rowPartitionTypes = C.getRowPartitionTypesHelper(c), this.raggedRank = C.getRaggedRank(this.rowPartitionTypes); } getRowPartitionTypeByDimension(e) { - return this.rowPartitionTypes[0] === No.FIRST_DIM_SIZE ? this.rowPartitionTypes[e + 1] : this.rowPartitionTypes[e]; + return this.rowPartitionTypes[0] === $o.FIRST_DIM_SIZE ? this.rowPartitionTypes[e + 1] : this.rowPartitionTypes[e]; } getRowPartitionTensor(e) { - return this.rowPartitionTypes[0] === No.FIRST_DIM_SIZE ? this.rowPartitionValues[e + 1] : this.rowPartitionValues[e]; + return this.rowPartitionTypes[0] === $o.FIRST_DIM_SIZE ? this.rowPartitionValues[e + 1] : this.rowPartitionValues[e]; } getMaxWidth(e) { let t10 = this.getRowPartitionTensor(e - 1); switch (this.getRowPartitionTypeByDimension(e - 1)) { - case No.VALUE_ROWIDS: - return Yp.getMaxWidthValueRowID(t10); - case No.ROW_SPLITS: - return Yp.getMaxWidthRowSplit(t10); + case $o.VALUE_ROWIDS: + return Cc.getMaxWidthValueRowID(t10); + case $o.ROW_SPLITS: + return Cc.getMaxWidthRowSplit(t10); default: - throw new Error(`Cannot handle partition type ${No[this.getRowPartitionTypeByDimension(e - 1)]}`); + throw new Error(`Cannot handle partition type ${$o[this.getRowPartitionTypeByDimension(e - 1)]}`); } } static getMaxWidthRowSplit(e) { @@ -12154,12 +12513,12 @@ var Yp = class { return []; throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1."); } - return DT(e, o); + return r_(e, o); } calculateOutputSize(e) { let t10 = this.valuesShape, o = this.defaultValueShape; - S.validateDefaultValueShape(o, t10); - let n = this.tensorShapeFromTensor(this.shape, this.shapeShape), a = S.combineRaggedTensorToTensorShapes(this.raggedRank, n, t10); + C.validateDefaultValueShape(o, t10); + let n = this.tensorShapeFromTensor(this.shape, this.shapeShape), a = C.combineRaggedTensorToTensorShapes(this.raggedRank, n, t10); a[0] < 0 && (a[0] = e); for (let i = 1; i <= this.raggedRank; ++i) a[i] < 0 && (a[i] = this.getMaxWidth(i)); @@ -12214,14 +12573,14 @@ var Yp = class { calculateOutputIndex(e, t10, o, n) { let s = this.getRowPartitionTensor(e), a = this.getRowPartitionTypeByDimension(e); switch (a) { - case No.VALUE_ROWIDS: + case $o.VALUE_ROWIDS: return this.calculateOutputIndexValueRowID(s, t10, o, n); - case No.ROW_SPLITS: + case $o.ROW_SPLITS: if (s.length - 1 > t10.length) throw new Error(`Row partition size is greater than output size: ${s.length - 1} > ${t10.length}`); return this.calculateOutputIndexRowSplit(s, t10, o, n); default: - throw new Error(`Unsupported partition type: ${No[a]}`); + throw new Error(`Unsupported partition type: ${$o[a]}`); } } getFirstDimensionSize() { @@ -12230,14 +12589,14 @@ var Yp = class { throw new Error("No row_partition_types given."); let t10 = this.rowPartitionTypes[0]; switch (t10) { - case No.FIRST_DIM_SIZE: + case $o.FIRST_DIM_SIZE: return e[0]; - case No.VALUE_ROWIDS: + case $o.VALUE_ROWIDS: throw new Error("Cannot handle VALUE_ROWIDS in first dimension."); - case No.ROW_SPLITS: + case $o.ROW_SPLITS: return this.rowPartitionValuesShapes[0][0] - 1; default: - throw new Error(`Cannot handle type ${No[t10]}`); + throw new Error(`Cannot handle type ${$o[t10]}`); } } compute() { @@ -12247,7 +12606,7 @@ var Yp = class { n[n.length - 1] = 1; for (let p = n.length - 2; p >= 0; --p) n[p] = n[p + 1] * o[p + 1]; - let s = DT(o, false), a = y.getArrayFromDType(this.valuesDType, y.sizeFromShape(s)); + let s = r_(o, false), a = y.getArrayFromDType(this.valuesDType, y.sizeFromShape(s)); if (n[0] * o[0] > 0) { let p = this.calculateFirstParentOutputIndex(t10, n[0], o[0]); for (let u = 1; u <= this.raggedRank; ++u) @@ -12264,9 +12623,9 @@ var Yp = class { let p = y.sizeFromShape(i), u = t10.length, c = this.defaultValue; if (c.length !== p && c.length !== 1) { let f = this.defaultValueShape; - Ee(() => { + De(() => { let h = W(c, f); - c = $i(h, i).dataSync(); + c = ru(h, i).dataSync(); }); } let l = 0, m = 0, d = 0; @@ -12278,7 +12637,7 @@ var Yp = class { } if (m < d) { let g = s.subarray(l * p), x = a.subarray(m * p), b = (d - m) * p; - RT(x, g, b); + t_(x, g, b); } if (f >= u) { let g = o.length; @@ -12290,17 +12649,17 @@ var Yp = class { else for (; h > d; ) { let g = a.slice(d * p); - RT(g, c, p), ++d; + t_(g, c, p), ++d; } h < 0 ? (l = f + 1, m = d) : (l = f, m = d, d = m + 1); } } }; -function RT(r, e, t10) { +function t_(r, e, t10) { for (let o = 0; o < t10; o++) r[o] = e[o]; } -function DT(r, e) { +function r_(r, e) { let t10 = []; for (let o of r) { if (o < 0) { @@ -12314,10 +12673,10 @@ function DT(r, e) { } return t10; } -function hf(r, e, t10, o, n, s, a, i, p, u) { - return new Yp(r, e, t10, o, n, s, a, i, p, u).compute(); +function Ef(r, e, t10, o, n, s, a, i, p, u) { + return new Cc(r, e, t10, o, n, s, a, i, p, u).compute(); } -function _u(r, e, t10, o) { +function ap(r, e, t10, o) { let n = r === e, s = r < e && t10 < 0, a = e < r && t10 > 1; if (n || s || a) return y.makeZerosTypedArray(0, o); @@ -12327,14 +12686,14 @@ function _u(r, e, t10, o) { p[u] = p[u - 1] + t10; return p; } -var NS = vr((r) => 1 / Math.sqrt(r)); -var nj = ko(zn, NS); -var FT = { kernelName: zn, backendName: "cpu", kernelFunc: nj }; -function Va(r, e, t10, o, n, s, a, i, p, u) { +var US = jt((r) => 1 / Math.sqrt(r)); +var x8 = Dr(us, US); +var o_ = { kernelName: us, backendName: "cpu", kernelFunc: x8 }; +function Fs(r, e, t10, o, n, s, a, i, p, u) { let c = [o / n, n], l = r.values, m = e.values; if (o === 0) - return le(t10, e.dtype); - let d = le(c, e.dtype); + return me(t10, e.dtype); + let d = p instanceof tt ? p : me(c, e.dtype); typeof p == "string" || typeof p == "number" ? d.values.fill(p) : typeof p == "boolean" && d.values.fill(+p); for (let f = 0; f < s; f++) { let h = [], g = 0; @@ -12349,36 +12708,36 @@ function Va(r, e, t10, o, n, s, a, i, p, u) { } return d; } -var OT = vr((r) => 1 / (1 + Math.exp(-r))); -var TS = we(Gn, (r) => 1 / (1 + Math.exp(-r))); -var PT = { kernelName: Gn, backendName: "cpu", kernelFunc: TS }; -function $u(r, e, t10, o, n) { - let s = ut.isSliceContinous(o, e, t10), a = y.sizeFromShape(t10), i = y.computeStrides(o); +var n_ = jt((r) => 1 / (1 + Math.exp(-r))); +var GS = Ie(hs, (r) => 1 / (1 + Math.exp(-r))); +var s_ = { kernelName: hs, backendName: "cpu", kernelFunc: GS }; +function ip(r, e, t10, o, n) { + let s = ct.isSliceContinous(o, e, t10), a = y.sizeFromShape(t10), i = y.computeStrides(o); if (s) { - let l = ut.computeFlatOffset(e, i); + let l = ct.computeFlatOffset(e, i); return n === "string" ? r.slice(l, l + a) : r.subarray(l, l + a); } - let p = n === "string" ? S.fromUint8ToStringArray(r) : r, u = le(o, n, p), c = le(t10, n); + let p = n === "string" ? C.fromUint8ToStringArray(r) : r, u = me(o, n, p), c = me(t10, n); for (let l = 0; l < c.size; ++l) { let m = c.indexToLoc(l), d = m.map((f, h) => f + e[h]); c.set(u.get(...d), ...m); } - return n === "string" ? S.fromStringArrayToUint8(c.values) : c.values; + return n === "string" ? C.fromStringArrayToUint8(c.values) : c.values; } -function To(r) { +function Eo(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, size: a } = o; - j(n, "slice"); - let [i, p] = ut.parseSliceParams(n, s, a); - ut.assertParamsValid(n, i, p); - let u = t10.data.get(n.dataId).values, c = $u(u, i, p, n.shape, n.dtype); + Y(n, "slice"); + let [i, p] = ct.parseSliceParams(n, s, a); + ct.assertParamsValid(n, i, p); + let u = t10.data.get(n.dataId).values, c = ip(u, i, p, n.shape, n.dtype); return t10.makeTensorInfo(p, n.dtype, c); } -var MT = { kernelName: Es, backendName: "cpu", kernelFunc: To }; -function gf(r, e, t10, o, n, s, a) { +var a_ = { kernelName: pa, backendName: "cpu", kernelFunc: Eo }; +function Rf(r, e, t10, o, n, s, a) { let i = e[0], p = s[0], u = new Array(p), c = new Array(i), l = e[1]; if (p === 0) { if (i !== 0) - throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i)); + throw new Error(C.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i)); let g = y.getArrayFromDType(t10, 0), x = y.getArrayFromDType(n, 0); return [g, [0, l], x, u, c]; } @@ -12386,9 +12745,9 @@ function gf(r, e, t10, o, n, s, a) { for (let g = 0; g < i; ++g) { let x = r[g * l]; if (x < 0) - throw new Error(S.getSparseFillEmptyRowsNegativeIndexErrorMessage(g, x)); + throw new Error(C.getSparseFillEmptyRowsNegativeIndexErrorMessage(g, x)); if (x >= p) - throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g, x, p)); + throw new Error(C.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g, x, p)); ++f[x], m = m && x >= d, d = x; } let h = true; @@ -12402,18 +12761,18 @@ function gf(r, e, t10, o, n, s, a) { c[b] = b; return [g, [i, l], x, u, c]; } else { - let g = f[p - 1], x = y.getArrayFromDType(t10, g * l), b = y.getArrayFromDType(n, g), C = new Array(p).fill(0); - for (let w = 0; w < i; ++w) { - let k = r[w * l], _ = C[k], E = (k === 0 ? 0 : f[k - 1]) + _; - C[k]++; - for (let A = 0; A < l; ++A) - x[E * l + A] = r[w * l + A]; - b[E] = o[w], c[w] = E; + let g = f[p - 1], x = y.getArrayFromDType(t10, g * l), b = y.getArrayFromDType(n, g), w = new Array(p).fill(0); + for (let S = 0; S < i; ++S) { + let k = r[S * l], _ = w[k], E = (k === 0 ? 0 : f[k - 1]) + _; + w[k]++; + for (let R = 0; R < l; ++R) + x[E * l + R] = r[S * l + R]; + b[E] = o[S], c[S] = E; } - for (let w = 0; w < p; ++w) - if (C[w] === 0) { - let _ = w === 0 ? 0 : f[w - 1]; - x[_ * l + 0] = w; + for (let S = 0; S < p; ++S) + if (w[S] === 0) { + let _ = S === 0 ? 0 : f[S - 1]; + x[_ * l + 0] = S; for (let E = 1; E < l; ++E) x[_ * l + E] = 0; b[_] = a; @@ -12421,30 +12780,30 @@ function gf(r, e, t10, o, n, s, a) { return [x, [g, l], b, u, c]; } } -function xf(r, e, t10, o, n) { +function Df(r, e, t10, o, n) { let s = y.sizeFromShape(o), a = e[0], i = n.length, p = [], u = 1, c = -1; for (let g = 0; g < i; ++g) { let x = n[g]; if (x === -1) { if (c !== -1) - throw new Error(S.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(c, g)); + throw new Error(C.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(c, g)); c = g, p.push(1); } else { if (x < 0) - throw new Error(S.getSparseReshapeNegativeOutputDimErrorMessage(g, x)); + throw new Error(C.getSparseReshapeNegativeOutputDimErrorMessage(g, x)); u *= x, p.push(x); } } if (c !== -1) { if (u <= 0) - throw new Error(S.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage()); + throw new Error(C.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage()); let g = Math.trunc(s / u); if (u * g !== s) - throw new Error(S.getSparseReshapeInputOutputMultipleErrorMessage(o, p)); + throw new Error(C.getSparseReshapeInputOutputMultipleErrorMessage(o, p)); p[c] = g; } if (y.sizeFromShape(p) !== s) - throw new Error(S.getSparseReshapeInputOutputMismatchErrorMessage(o, p)); + throw new Error(C.getSparseReshapeInputOutputMismatchErrorMessage(o, p)); let m = o.length, d = []; if (m > 0) { d[m - 1] = 1; @@ -12467,57 +12826,63 @@ function xf(r, e, t10, o, n) { } return [h, [a, i], p]; } -function Qp(r, e, t10, o, n, s = false, a = 0) { +function wc(r, e, t10, o, n, s = false, a = 0) { let i = o.length, p = [e[0], r.length / e[0]], u = p[1], l = i > 0 ? n[i - 1] + 1 : 0; if (l < 0) - throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); + throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); let m = e.slice(); m[0] = l; - let d = m.reduce((C, w) => C * w, 1), f = y.getArrayFromDType(t10, d); + let d = m.reduce((w, S) => w * S, 1), f = y.getArrayFromDType(t10, d); if (i === 0) return l > 0 && f.fill(a), [f, m]; if (l <= 0) - throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); + throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); let h = 0, g = 1, x = 0, b = n[h]; for (; ; ) { - let C = 0; + let w = 0; if (g < i) { - if (C = n[g], b === C) { + if (w = n[g], b === w) { ++g; continue; } - if (b >= C) - throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage()); + if (b >= w) + throw new Error(C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage()); } if (b < 0 || b >= l) - throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b, l)); + throw new Error(C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b, l)); b > x && f.fill(a, x * u, b * u); - for (let w = h; w < g; ++w) { - let k = o[w]; + for (let S = h; S < g; ++S) { + let k = o[S]; if (k < 0 || k >= p[0]) - throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w, o[w], p[0])); + throw new Error(C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(S, o[S], p[0])); for (let _ = 0; _ < u; _++) f[b * u + _] += r[k * u + _]; } if (s) - for (let w = 0; w < u; w++) - f[b * u + w] /= g - h; - if (h = g, ++g, x = b + 1, b = C, g > i) + for (let S = 0; S < u; S++) + f[b * u + S] /= g - h; + if (h = g, ++g, x = b + 1, b = w, g > i) break; } return x < l && f.fill(a, x * u, l * u), [f, m]; } -var LT = vr((r) => Math.sqrt(r)); -var sj = we(Hn, (r) => Math.sqrt(r)); -var BT = { kernelName: Hn, backendName: "cpu", kernelFunc: sj }; -var _S = Be((r, e) => { +var i_ = jt((r) => Math.sqrt(r)); +var y8 = Ie(xs, (r) => Math.sqrt(r)); +var u_ = { kernelName: xs, backendName: "cpu", kernelFunc: y8 }; +var HS = ze((r, e) => { let t10 = r - e; return t10 * t10; }); -var aj = Qe(jn, _S); -var VT = { kernelName: jn, backendName: "cpu", kernelFunc: aj }; -function yf(r, e, t10, o) { - let n = le(r, e.dtype); +var b8 = je(ws, HS); +var p_ = { kernelName: ws, backendName: "cpu", kernelFunc: b8 }; +var KS = jt((r, e) => { + let { pattern: t10, replaceGlobal: o, rewrite: n } = e; + return r.replace(new RegExp(t10, o ? "g" : ""), n); +}); +var C8 = Dr(_u, KS); +var c_ = { kernelName: _u, backendName: "cpu", kernelFunc: C8 }; +function Af(r, e, t10, o) { + let n = me(r, e.dtype); for (let s = 0; s < n.size; s++) { let a = n.indexToLoc(s), i = new Array(a.length); for (let p = 0; p < i.length; p++) @@ -12526,7 +12891,7 @@ function yf(r, e, t10, o) { } return n; } -var $S = class { +var qS = class { constructor(e, t10, o, n, s, a) { this.separator = y.encodeString(e), this.nGramWidths = t10, this.leftPad = y.encodeString(o), this.rightPad = y.encodeString(n), this.padWidth = s, this.preserveShort = a; } @@ -12546,7 +12911,7 @@ var $S = class { d += c * this.rightPad.length; let f = u + c + l - 1; d += f * this.separator.length, o[n + i] = new Uint8Array(d); - let h = o[n + i], g = 0, x = (b) => b.forEach((C) => h[g++] = C); + let h = o[n + i], g = 0, x = (b) => b.forEach((w) => h[g++] = w); for (let b = 0; b < u; ++b) x(this.leftPad), x(this.separator); for (let b = 0; b < l - 1; ++b) @@ -12608,10 +12973,10 @@ var $S = class { return [i, a]; } }; -function Eu(r, e, t10, o, n, s, a, i) { - return new $S(t10, o, n, s, a, i).compute(r, e); +function up(r, e, t10, o, n, s, a, i) { + return new qS(t10, o, n, s, a, i).compute(r, e); } -function ij(r, e, t10, o) { +function w8(r, e, t10, o) { if (!r.length) return; if (e.length === 0) { @@ -12635,11 +13000,11 @@ function ij(r, e, t10, o) { (!t10 || a.length !== 0) && o.push(a), n = s + 1; } } -function Au(r, e, t10) { +function pp(r, e, t10) { let o = r.length, n = [], s = 0, a = 0, i = new Array(o); for (let m = 0; m < o; ++m) { let d = n.length; - ij(r[m], e, t10, n); + w8(r[m], e, t10, n); let f = n.length - d; i[m] = f, s += f, a = Math.max(a, f); } @@ -12649,21 +13014,21 @@ function Au(r, e, t10) { p[l * 2] = m, p[l * 2 + 1] = d, u[l] = n[l], ++l; return [p, u, c]; } -function Ru(r, e) { +function cp(r, e) { let t10 = y.getArrayFromDType("int32", r.length); for (let o = 0; o < r.length; ++o) t10[o] = y.fingerPrint64(r[o]).modulo(e).getLowBitsUnsigned(); return t10; } -var ES = Be((r, e) => r - e); -var uj = qp((r, e, t10, o) => ({ real: r - t10, imag: e - o })); -var gl = Qe(Yn, ES, uj); -var zT = { kernelName: Yn, backendName: "cpu", kernelFunc: gl }; -function bf(r, e) { +var jS = ze((r, e) => r - e); +var S8 = xc((r, e, t10, o) => ({ real: r - t10, imag: e - o })); +var Ll = je(Is, jS, S8); +var l_ = { kernelName: Is, backendName: "cpu", kernelFunc: Ll }; +function Ff(r, e) { let t10 = new Array(r.rank); for (let n = 0; n < t10.length; n++) t10[n] = r.shape[n] * e[n]; - let o = le(t10, r.dtype); + let o = me(t10, r.dtype); for (let n = 0; n < o.values.length; ++n) { let s = o.indexToLoc(n), a = new Array(r.rank); for (let p = 0; p < a.length; p++) @@ -12673,67 +13038,68 @@ function bf(r, e) { } return o; } -var xl = (r, e) => { +var Bl = (r, e) => { let t10 = e.value - r.value; return t10 === 0 ? r.index - e.index : t10; }; -function WT(r, e, t10 = 0, o = r.length - 1) { +function m_(r, e, t10 = 0, o = r.length - 1) { for (; o > t10; ) { if (o - t10 > 600) { let i = o - t10 + 1, p = e - t10 + 1, u = Math.log(i), c = 0.5 * Math.exp(2 * u / 3), l = 0.5 * Math.sqrt(u * c * (i - c) / i) * Math.sign(p - i / 2), m = Math.max(t10, Math.floor(e - p * c / i + l)), d = Math.min(o, Math.floor(e + (i - p) * c / i + l)); - WT(r, e, m, d); + m_(r, e, m, d); } let n = r[e], s = t10, a = o; - for (y.swap(r, t10, e), xl(r[o], n) > 0 && y.swap(r, t10, o); s < a; ) { - for (y.swap(r, s, a), s++, a--; xl(r[s], n) < 0; ) + for (y.swap(r, t10, e), Bl(r[o], n) > 0 && y.swap(r, t10, o); s < a; ) { + for (y.swap(r, s, a), s++, a--; Bl(r[s], n) < 0; ) s = s + 1; - for (; xl(r[a], n) > 0; ) + for (; Bl(r[a], n) > 0; ) a = a - 1; } - xl(r[t10], n) === 0 ? y.swap(r, t10, a) : (a = a + 1, y.swap(r, a, o)), a <= e && (t10 = a + 1), e <= a && (o = a - 1); + Bl(r[t10], n) === 0 ? y.swap(r, t10, a) : (a = a + 1, y.swap(r, a, o)), a <= e && (t10 = a + 1), e <= a && (o = a - 1); } } -function Cf(r, e, t10, o, n) { +function Pf(r, e, t10, o, n) { let s = e[e.length - 1], [a, i] = [r.length / s, s], p = y.getTypedArrayFromDType(t10, a * o), u = y.getTypedArrayFromDType("int32", a * o); for (let l = 0; l < a; l++) { let m = l * i, d = r.subarray(m, m + i), f = new Array(d.length); - d.forEach((b, C) => f[C] = { value: b, index: C }), o < f.length && (WT(f, o), f = f.slice(0, o)), n && f.sort(xl); + d.forEach((b, w) => f[w] = { value: b, index: w }), o < f.length && (m_(f, o), f = f.slice(0, o)), n && f.sort(Bl); let h = l * o, g = p.subarray(h, h + o), x = u.subarray(h, h + o); for (let b = 0; b < o; b++) g[b] = f[b].value, x[b] = f[b].index; } let c = e.slice(); - return c[c.length - 1] = o, [le(c, t10, p), le(c, "int32", u)]; + return c[c.length - 1] = o, [me(c, t10, p), me(c, "int32", u)]; } -function Sf(r, e, t10, o) { +function lp(r, e, t10, o) { let n = y.parseAxisParam(e, t10)[0], s = [1, t10[0], 1]; for (let f = 0; f < n; f++) s[0] *= t10[f]; s[1] = t10[n]; for (let f = n + 1; f < t10.length; f++) s[2] *= t10[f]; - let a = {}, i = new Int32Array(t10[n]), p = new st(s, o, r), u = [], c = s[0] === 1 && s[2] === 1; + let a = /* @__PURE__ */ new Map(), i = new Int32Array(t10[n]), p = new tt(s, o, r), u = [], c = s[0] === 1 && s[2] === 1; for (let f = 0; f < t10[n]; f++) { let h; if (c) h = r[f].toString(); else { - let g = []; - for (let x = 0; x < s[0]; x++) - for (let b = 0; b < s[2]; b++) - g.push(p.get(x, f, b)); - h = g.join(","); + let x = []; + for (let b = 0; b < s[0]; b++) + for (let w = 0; w < s[2]; w++) + x.push(p.get(b, f, w)); + h = x.join(","); } - if (a[h] !== void 0) - i[f] = a[h]; + let g = a.get(h); + if (g != null) + i[f] = g; else { - let g = Object.keys(a).length; - a[h] = g, i[f] = g, u.push(f); + let x = a.size; + a.set(h, x), i[f] = x, u.push(f); } } let l = s.slice(); - l[1] = Object.keys(a).length; - let m = new st(l, o); + l[1] = a.size; + let m = new tt(l, o); u.forEach((f, h) => { for (let g = 0; g < s[0]; g++) for (let x = 0; x < s[2]; x++) @@ -12742,49 +13108,49 @@ function Sf(r, e, t10, o) { let d = t10.slice(); return d[n] = l[1], { outputValues: m.values, outputShape: d, indices: i }; } -var pj = "4.2.0"; -Ti("cpu", () => new Pi(), 1); -var AS = we(Jo, (r) => r >= 0 ? r : Math.exp(r) - 1); -var UT = { kernelName: Jo, backendName: "cpu", kernelFunc: AS }; -function RS(r) { +var I8 = "4.5.0"; +eu("cpu", () => new lu(), 1); +var XS = Ie(fn, (r) => r >= 0 ? r : Math.exp(r) - 1); +var d_ = { kernelName: fn, backendName: "cpu", kernelFunc: XS }; +function YS(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { alpha: s } = o; - j([n], "leakyRelu"); + Y([n], "leakyRelu"); let a = y.sizeFromShape(n.shape), i = t10.data.get(n.dataId).values, p = y.getTypedArrayFromDType("float32", a); for (let u = 0; u < i.length; u++) p[u] = i[u] < 0 ? s * i[u] : i[u]; return t10.makeTensorInfo(n.shape, "float32", p); } -var GT = { kernelName: ln, backendName: "cpu", kernelFunc: RS }; -var cj = Be((r, e) => r < 0 ? e * r : r); -function DS(r) { +var f_ = { kernelName: _n, backendName: "cpu", kernelFunc: YS }; +var v8 = ze((r, e) => r < 0 ? e * r : r); +function QS(r) { let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e; - j([o, n], "prelu"); - let s = t10.data.get(o.dataId).values, a = t10.data.get(n.dataId).values, [i, p] = cj(o.shape, n.shape, s, a, "float32"); + Y([o, n], "prelu"); + let s = t10.data.get(o.dataId).values, a = t10.data.get(n.dataId).values, [i, p] = v8(o.shape, n.shape, s, a, "float32"); return t10.makeTensorInfo(p, "float32", i); } -var HT = { kernelName: Rn, backendName: "cpu", kernelFunc: DS }; -var FS = we(On, (r) => Math.max(0, r)); -var KT = { kernelName: On, backendName: "cpu", kernelFunc: FS }; -var OS = we(Ln, (r) => Math.min(Math.max(0, r), 6)); -var qT = { kernelName: Ln, backendName: "cpu", kernelFunc: OS }; -function Du(r, e, t10, o, n) { +var h_ = { kernelName: Jn, backendName: "cpu", kernelFunc: QS }; +var ZS = Ie(rs, (r) => Math.max(0, r)); +var g_ = { kernelName: rs, backendName: "cpu", kernelFunc: ZS }; +var JS = Ie(ss, (r) => Math.min(Math.max(0, r), 6)); +var x_ = { kernelName: ss, backendName: "cpu", kernelFunc: JS }; +function mp(r, e, t10, o, n) { if (t10 === "linear") - return ir({ inputs: { x: e }, backend: r }); + return lr({ inputs: { x: e }, backend: r }); if (t10 === "relu") - return FS({ inputs: { x: e }, backend: r }); + return ZS({ inputs: { x: e }, backend: r }); if (t10 === "elu") - return AS({ inputs: { x: e }, backend: r }); + return XS({ inputs: { x: e }, backend: r }); if (t10 === "relu6") - return OS({ inputs: { x: e }, backend: r }); + return JS({ inputs: { x: e }, backend: r }); if (t10 === "prelu") - return DS({ inputs: { x: e, alpha: o }, backend: r }); + return QS({ inputs: { x: e, alpha: o }, backend: r }); if (t10 === "leakyrelu") - return RS({ inputs: { x: e }, backend: r, attrs: { alpha: n } }); + return YS({ inputs: { x: e }, backend: r, attrs: { alpha: n } }); if (t10 === "sigmoid") - return TS({ inputs: { x: e }, backend: r }); + return GS({ inputs: { x: e }, backend: r }); throw new Error(`Activation ${t10} has not been implemented for the CPU backend.`); } -function Le(r) { +function Ve(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { shape: s } = o, a = y.sizeFromShape(n.shape), i = y.inferFromImplicitShape(s, a), p = y.sizeFromShape(i); y.assert(a === p, () => `The new shape (${i}) has ${p} elements and the old shape (${n.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`), t10.incRef(n.dataId); let u = t10.data.get(n.dataId); @@ -12794,53 +13160,53 @@ function Le(r) { } return { dataId: n.dataId, shape: i, dtype: n.dtype }; } -var jT = { kernelName: _s, backendName: "cpu", kernelFunc: Le }; -function PS(r) { +var y_ = { kernelName: ia, backendName: "cpu", kernelFunc: Ve }; +function eI(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s } = e, { transposeA: a, transposeB: i } = o; - j([n, s], "matMul"); - let p = n.shape.length, u = s.shape.length, c = a ? n.shape[p - 2] : n.shape[p - 1], l = i ? s.shape[u - 1] : s.shape[u - 2], m = a ? n.shape[p - 1] : n.shape[p - 2], d = i ? s.shape[u - 2] : s.shape[u - 1], f = n.shape.slice(0, -2), h = s.shape.slice(0, -2), g = y.sizeFromShape(f), x = y.sizeFromShape(h), C = yr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)).concat([m, d]); + Y([n, s], "matMul"); + let p = n.shape.length, u = s.shape.length, c = a ? n.shape[p - 2] : n.shape[p - 1], l = i ? s.shape[u - 1] : s.shape[u - 2], m = a ? n.shape[p - 1] : n.shape[p - 2], d = i ? s.shape[u - 2] : s.shape[u - 1], f = n.shape.slice(0, -2), h = s.shape.slice(0, -2), g = y.sizeFromShape(f), x = y.sizeFromShape(h), w = Sr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)).concat([m, d]); y.assert(c === l, () => `Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`); - let w = a ? [g, c, m] : [g, m, c], k = i ? [x, d, l] : [x, l, d], _ = Le({ inputs: { x: n }, backend: t10, attrs: { shape: w } }), E = Le({ inputs: { x: s }, backend: t10, attrs: { shape: k } }), A = a ? _.shape[1] : _.shape[2], R = a ? _.shape[2] : _.shape[1], D = i ? E.shape[1] : E.shape[2], P = Math.max(g, x), M = t10.data.get(_.dataId).values, L = t10.data.get(E.dataId).values, V = y.computeStrides(_.shape), z = y.computeStrides(E.shape), [U, K, H] = a ? [V[0], 1, V[1]] : [V[0], V[1], 1], [q, Z, ee] = i ? [1, z[1], z[0]] : [z[1], 1, z[0]], oe = R * D, J = le([P, R, D], _.dtype), te = J.values, ie = t10.blockSize; - for (let ce = 0; ce < P; ce++) { - let ye = ce % g, Ne = ce % x; - for (let Ie = 0; Ie < R; Ie += ie) { - let Ae = Math.min(Ie + ie, R); - for (let Re = 0; Re < D; Re += ie) { - let ot = Math.min(Re + ie, D); - for (let pt = 0; pt < A; pt += ie) { - let ze = Math.min(pt + ie, A); - for (let ct = Ie; ct < Ae; ct++) - for (let at = Re; at < ot; at++) { - let ft = 0; - for (let ht = pt; ht < ze; ht++) { - let Rr = M[ye * U + ct * K + ht * H], Pt = L[ht * q + at * Z + Ne * ee]; - ft += Rr * Pt; + let S = a ? [g, c, m] : [g, m, c], k = i ? [x, d, l] : [x, l, d], _ = Ve({ inputs: { x: n }, backend: t10, attrs: { shape: S } }), E = Ve({ inputs: { x: s }, backend: t10, attrs: { shape: k } }), R = a ? _.shape[1] : _.shape[2], D = a ? _.shape[2] : _.shape[1], F = i ? E.shape[1] : E.shape[2], O = Math.max(g, x), M = t10.data.get(_.dataId).values, L = t10.data.get(E.dataId).values, B = y.computeStrides(_.shape), z = y.computeStrides(E.shape), [U, j, H] = a ? [B[0], 1, B[1]] : [B[0], B[1], 1], [X, J, re] = i ? [1, z[1], z[0]] : [z[1], 1, z[0]], ne = D * F, ee = me([O, D, F], _.dtype), oe = ee.values, ie = t10.blockSize; + for (let le = 0; le < O; le++) { + let ye = le % g, _e = le % x; + for (let ve = 0; ve < D; ve += ie) { + let Fe = Math.min(ve + ie, D); + for (let Pe = 0; Pe < F; Pe += ie) { + let st = Math.min(Pe + ie, F); + for (let lt = 0; lt < R; lt += ie) { + let We = Math.min(lt + ie, R); + for (let mt = ve; mt < Fe; mt++) + for (let it = Pe; it < st; it++) { + let ht = 0; + for (let gt = lt; gt < We; gt++) { + let Or = M[ye * U + mt * j + gt * H], Mt = L[gt * X + it * J + _e * re]; + ht += Or * Mt; } - te[ce * oe + (ct * D + at)] += ft; + oe[le * ne + (mt * F + it)] += ht; } } } } } - return t10.disposeIntermediateTensorInfo(_), t10.disposeIntermediateTensorInfo(E), t10.makeTensorInfo(C, J.dtype, J.values); + return t10.disposeIntermediateTensorInfo(_), t10.disposeIntermediateTensorInfo(E), t10.makeTensorInfo(w, ee.dtype, ee.values); } -var XT = { kernelName: zo, backendName: "cpu", kernelFunc: PS }; -function lj(r) { +var b_ = { kernelName: Qo, backendName: "cpu", kernelFunc: eI }; +function k8(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s, bias: a, preluActivationWeights: i } = e, { transposeA: p, transposeB: u, activation: c, leakyreluAlpha: l } = o, m, d, f, h = []; - m = PS({ inputs: { a: n, b: s }, attrs: { transposeA: p, transposeB: u }, backend: t10 }), a && (d = Xs({ inputs: { a: m, b: a }, backend: t10 }), h.push(m), m = d), c && (f = Du(t10, m, c, i, l), h.push(m), m = f); + m = eI({ inputs: { a: n, b: s }, attrs: { transposeA: p, transposeB: u }, backend: t10 }), a && (d = _a({ inputs: { a: m, b: a }, backend: t10 }), h.push(m), m = d), c && (f = mp(t10, m, c, i, l), h.push(m), m = f); for (let x of h) t10.disposeIntermediateTensorInfo(x); return m; } -var YT = { kernelName: ho, backendName: "cpu", kernelFunc: lj }; -var mj = we(aa, (r) => Math.acos(r)); -var QT = { kernelName: aa, backendName: "cpu", kernelFunc: mj }; -var dj = we(ia, (r) => Math.acosh(r)); -var ZT = { kernelName: ia, backendName: "cpu", kernelFunc: dj }; -function fj(r) { +var C_ = { kernelName: bo, backendName: "cpu", kernelFunc: k8 }; +var N8 = Ie(zo, (r) => Math.acos(r)); +var w_ = { kernelName: zo, backendName: "cpu", kernelFunc: N8 }; +var T8 = Ie(Vo, (r) => Math.acosh(r)); +var S_ = { kernelName: Vo, backendName: "cpu", kernelFunc: T8 }; +function _8(r) { let { inputs: e, backend: t10 } = r, o = e; - j(e, "addN"); - let n = o.map((i) => t10.data.get(i.dataId).values), s = le(o[0].shape, o[0].dtype), a = s.values; + Y(e, "addN"); + let n = o.map((i) => t10.data.get(i.dataId).values), s = me(o[0].shape, o[0].dtype), a = s.values; for (let i = 0; i < o.length; i++) { let p = n[i]; for (let u = 0; u < a.length; u++) @@ -12848,338 +13214,338 @@ function fj(r) { } return t10.makeTensorInfo(s.shape, s.dtype, s.values); } -var JT = { kernelName: Po, backendName: "cpu", kernelFunc: fj }; -function hj(r) { +var I_ = { kernelName: Wo, backendName: "cpu", kernelFunc: _8 }; +function $8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - j(n, "all"); - let i = y.parseAxisParam(s, n.shape), p = i, u = S.getAxesPermutation(p, n.shape.length), c = n; - u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = S.getInnerMostAxes(p.length, n.shape.length)), S.assertAxesAreInnerMostDims("all", p, c.shape.length); - let [l, m] = S.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; + Y(n, "all"); + let i = y.parseAxisParam(s, n.shape), p = i, u = C.getAxesPermutation(p, n.shape.length), c = n; + u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = C.getInnerMostAxes(p.length, n.shape.length)), C.assertAxesAreInnerMostDims("all", p, c.shape.length); + let [l, m] = C.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; for (let x = 0; x < f.length; ++x) { - let b = x * d, C = h[b]; - for (let w = 0; w < d; ++w) { - let k = h[b + w]; - C = C && k; + let b = x * d, w = h[b]; + for (let S = 0; S < d; ++S) { + let k = h[b + S]; + w = w && k; } - f[x] = C; + f[x] = w; } u != null && t10.disposeIntermediateTensorInfo(c); let g = t10.makeTensorInfo(l, c.dtype, f); if (a) { - let x = S.expandShapeToKeepDim(l, i), b = Le({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); + let x = C.expandShapeToKeepDim(l, i), b = Ve({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); return t10.disposeIntermediateTensorInfo(g), b; } return g; } -var e2 = { kernelName: Mo, backendName: "cpu", kernelFunc: hj }; -function gj(r) { +var v_ = { kernelName: Uo, backendName: "cpu", kernelFunc: $8 }; +function E8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - j(n, "any"); - let i = y.parseAxisParam(s, n.shape), p = i, u = S.getAxesPermutation(p, n.shape.length), c = n; - u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = S.getInnerMostAxes(p.length, n.shape.length)), S.assertAxesAreInnerMostDims("any", p, c.shape.length); - let [l, m] = S.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; + Y(n, "any"); + let i = y.parseAxisParam(s, n.shape), p = i, u = C.getAxesPermutation(p, n.shape.length), c = n; + u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = C.getInnerMostAxes(p.length, n.shape.length)), C.assertAxesAreInnerMostDims("any", p, c.shape.length); + let [l, m] = C.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; for (let x = 0; x < f.length; ++x) { - let b = x * d, C = h[b]; - for (let w = 0; w < d; ++w) { - let k = h[b + w]; - C = C || k; + let b = x * d, w = h[b]; + for (let S = 0; S < d; ++S) { + let k = h[b + S]; + w = w || k; } - f[x] = C; + f[x] = w; } u != null && t10.disposeIntermediateTensorInfo(c); let g = t10.makeTensorInfo(l, c.dtype, f); if (a) { - let x = S.expandShapeToKeepDim(l, i), b = Le({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); + let x = C.expandShapeToKeepDim(l, i), b = Ve({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); return t10.disposeIntermediateTensorInfo(g), b; } return g; } -var t2 = { kernelName: Lo, backendName: "cpu", kernelFunc: gj }; -function xj(r) { +var k_ = { kernelName: Go, backendName: "cpu", kernelFunc: E8 }; +function R8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o; - j(n, "argMax"); - let a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = St({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), a = [a[0]], S.assertAxesAreInnerMostDims("argMax", a, p.shape.length); - let [c, l] = S.computeOutAndReduceShapes(p.shape, a), m = y.sizeFromShape(c), d = y.makeZerosTypedArray(m, "int32"), f = y.sizeFromShape(l), h = t10.data.get(p.dataId).values; + Y(n, "argMax"); + let a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = St({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), a = [a[0]], C.assertAxesAreInnerMostDims("argMax", a, p.shape.length); + let [c, l] = C.computeOutAndReduceShapes(p.shape, a), m = y.sizeFromShape(c), d = y.makeZerosTypedArray(m, "int32"), f = y.sizeFromShape(l), h = t10.data.get(p.dataId).values; for (let g = 0; g < d.length; ++g) { - let x = g * f, b = h[x], C = 0; - for (let w = 0; w < f; ++w) { - let k = h[x + w]; - k > b && (b = k, C = w); + let x = g * f, b = h[x], w = 0; + for (let S = 0; S < f; ++S) { + let k = h[x + S]; + k > b && (b = k, w = S); } - d[g] = C; + d[g] = w; } return u.forEach((g) => t10.disposeIntermediateTensorInfo(g)), t10.makeTensorInfo(c, "int32", d); } -var r2 = { kernelName: Bo, backendName: "cpu", kernelFunc: xj }; -function yj(r) { +var N_ = { kernelName: Hs, backendName: "cpu", kernelFunc: R8 }; +function D8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o; - j(n, "argMin"); - let a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = St({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), a = [a[0]], S.assertAxesAreInnerMostDims("argMin", a, p.shape.length); - let [c, l] = S.computeOutAndReduceShapes(p.shape, a), m = y.sizeFromShape(c), d = y.makeZerosTypedArray(m, "int32"), f = y.sizeFromShape(l), h = t10.data.get(p.dataId).values; + Y(n, "argMin"); + let a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = St({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), a = [a[0]], C.assertAxesAreInnerMostDims("argMin", a, p.shape.length); + let [c, l] = C.computeOutAndReduceShapes(p.shape, a), m = y.sizeFromShape(c), d = y.makeZerosTypedArray(m, "int32"), f = y.sizeFromShape(l), h = t10.data.get(p.dataId).values; for (let g = 0; g < d.length; ++g) { - let x = g * f, b = h[x], C = 0; - for (let w = 0; w < f; ++w) { - let k = h[x + w]; - k < b && (b = k, C = w); + let x = g * f, b = h[x], w = 0; + for (let S = 0; S < f; ++S) { + let k = h[x + S]; + k < b && (b = k, w = S); } - d[g] = C; + d[g] = w; } return u.forEach((g) => t10.disposeIntermediateTensorInfo(g)), t10.makeTensorInfo(c, "int32", d); } -var o2 = { kernelName: ei, backendName: "cpu", kernelFunc: yj }; -var bj = we(ua, (r) => Math.asin(r)); -var n2 = { kernelName: ua, backendName: "cpu", kernelFunc: bj }; -var Cj = we(pa, (r) => Math.asinh(r)); -var s2 = { kernelName: pa, backendName: "cpu", kernelFunc: Cj }; -var Sj = we(ca, (r) => Math.atan(r)); -var a2 = { kernelName: ca, backendName: "cpu", kernelFunc: Sj }; -var wj = Be((r, e) => Math.atan2(r, e)); -var Ij = Qe(ma, wj); -var i2 = { kernelName: ma, backendName: "cpu", kernelFunc: Ij }; -var vj = we(la, (r) => Math.atanh(r)); -var u2 = { kernelName: la, backendName: "cpu", kernelFunc: vj }; -function Jp(r, e, t10, o, n, s) { - let a = n.strideHeight, i = n.strideWidth, p = n.dilationHeight, u = n.dilationWidth, c = n.effectiveFilterHeight, l = n.effectiveFilterWidth, m = n.padInfo.top, d = n.padInfo.left, f = s === "max" ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, h = le(n.outShape, t10), g = h.values, x = n.outShape[1] * n.outShape[2] * n.outShape[3], b = n.outShape[2] * n.outShape[3], C = n.outShape[3]; - for (let w = 0; w < n.batchSize; ++w) { - let k = w * x, _ = w * o[0]; +var T_ = { kernelName: Ks, backendName: "cpu", kernelFunc: D8 }; +var A8 = Ie(Ho, (r) => Math.asin(r)); +var __ = { kernelName: Ho, backendName: "cpu", kernelFunc: A8 }; +var F8 = Ie(Ko, (r) => Math.asinh(r)); +var $_ = { kernelName: Ko, backendName: "cpu", kernelFunc: F8 }; +var P8 = Ie(qo, (r) => Math.atan(r)); +var E_ = { kernelName: qo, backendName: "cpu", kernelFunc: P8 }; +var O8 = ze((r, e) => Math.atan2(r, e)); +var M8 = je(Xo, O8); +var R_ = { kernelName: Xo, backendName: "cpu", kernelFunc: M8 }; +var L8 = Ie(jo, (r) => Math.atanh(r)); +var D_ = { kernelName: jo, backendName: "cpu", kernelFunc: L8 }; +function Ic(r, e, t10, o, n, s) { + let a = n.strideHeight, i = n.strideWidth, p = n.dilationHeight, u = n.dilationWidth, c = n.effectiveFilterHeight, l = n.effectiveFilterWidth, m = n.padInfo.top, d = n.padInfo.left, f = s === "max" ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, h = me(n.outShape, t10), g = h.values, x = n.outShape[1] * n.outShape[2] * n.outShape[3], b = n.outShape[2] * n.outShape[3], w = n.outShape[3]; + for (let S = 0; S < n.batchSize; ++S) { + let k = S * x, _ = S * o[0]; for (let E = 0; E < n.inChannels; ++E) - for (let A = 0; A < n.outHeight; ++A) { - let R = A * a - m, D = Math.max(0, R), P = Math.min(n.inHeight, c + R), M = k + A * b; + for (let R = 0; R < n.outHeight; ++R) { + let D = R * a - m, F = Math.max(0, D), O = Math.min(n.inHeight, c + D), M = k + R * b; for (let L = 0; L < n.outWidth; ++L) { - let V = L * i - d, z = Math.max(0, V), U = Math.min(n.inWidth, l + V), K = f, H = 0, q = 0; - for (let ee = D; ee < P; ee += p) { - let oe = _ + ee * o[1]; - for (let J = z; J < U; J += u) { - let te = oe + J * o[2], ie = r[te + E]; - s === "max" && ie > K ? K = ie : s === "avg" && (H += ie, q++); + let B = L * i - d, z = Math.max(0, B), U = Math.min(n.inWidth, l + B), j = f, H = 0, X = 0; + for (let re = F; re < O; re += p) { + let ne = _ + re * o[1]; + for (let ee = z; ee < U; ee += u) { + let oe = ne + ee * o[2], ie = r[oe + E]; + s === "max" && ie > j ? j = ie : s === "avg" && (H += ie, X++); } - if (isNaN(K)) + if (isNaN(j)) break; } - let Z = M + L * C + E; - g[Z] = s === "avg" ? H / q : K; + let J = M + L * w + E; + g[J] = s === "avg" ? H / X : j; } } } return h; } -function wf(r, e, t10, o, n = false, s = false) { - let a = le(o.outShape, "int32"), i = o.strideHeight, p = o.strideWidth, u = o.dilationHeight, c = o.dilationWidth, l = o.effectiveFilterHeight, m = o.effectiveFilterWidth, d = o.padInfo.top, f = o.padInfo.left, h = le(e, t10, r); +function Of(r, e, t10, o, n = false, s = false) { + let a = me(o.outShape, "int32"), i = o.strideHeight, p = o.strideWidth, u = o.dilationHeight, c = o.dilationWidth, l = o.effectiveFilterHeight, m = o.effectiveFilterWidth, d = o.padInfo.top, f = o.padInfo.left, h = me(e, t10, r); for (let g = 0; g < o.batchSize; ++g) for (let x = 0; x < o.inChannels; ++x) for (let b = 0; b < o.outHeight; ++b) { - let C = b * i - d, w = C; - for (; w < 0; ) - w += u; - let k = Math.min(o.inHeight, l + C); + let w = b * i - d, S = w; + for (; S < 0; ) + S += u; + let k = Math.min(o.inHeight, l + w); for (let _ = 0; _ < o.outWidth; ++_) { - let E = _ * p - f, A = E; - for (; A < 0; ) - A += c; - let R = Math.min(o.inWidth, m + E), D = Number.NEGATIVE_INFINITY, P = -1; - for (let M = w; M < k; M += u) { - let L = M - C; - for (let V = A; V < R; V += c) { - let z = V - E, U = h.get(g, M, V, x); - U > D && (D = U, n ? P = s ? ((g * o.inHeight + M) * o.inWidth + V) * o.inChannels + x : (M * o.inWidth + V) * o.inChannels + x : P = L * m + z); + let E = _ * p - f, R = E; + for (; R < 0; ) + R += c; + let D = Math.min(o.inWidth, m + E), F = Number.NEGATIVE_INFINITY, O = -1; + for (let M = S; M < k; M += u) { + let L = M - w; + for (let B = R; B < D; B += c) { + let z = B - E, U = h.get(g, M, B, x); + U > F && (F = U, n ? O = s ? ((g * o.inHeight + M) * o.inWidth + B) * o.inChannels + x : (M * o.inWidth + B) * o.inChannels + x : O = L * m + z); } } - a.set(P, g, b, _, x); + a.set(O, g, b, _, x); } } return a; } -function If(r, e, t10, o, n, s) { - let a = n.strideDepth, i = n.strideHeight, p = n.strideWidth, u = n.dilationDepth, c = n.dilationHeight, l = n.dilationWidth, m = n.effectiveFilterDepth, d = n.effectiveFilterHeight, f = n.effectiveFilterWidth, h = n.padInfo.front, g = n.padInfo.top, x = n.padInfo.left, b = s === "max" ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, C = le(n.outShape, t10), w = C.values, k = n.outShape[1] * n.outShape[2] * n.outShape[3] * n.outShape[4], _ = n.outShape[2] * n.outShape[3] * n.outShape[4], E = n.outShape[3] * n.outShape[4], A = n.outShape[4]; - for (let R = 0; R < n.batchSize; ++R) { - let D = R * k, P = R * o[0]; +function Mf(r, e, t10, o, n, s) { + let a = n.strideDepth, i = n.strideHeight, p = n.strideWidth, u = n.dilationDepth, c = n.dilationHeight, l = n.dilationWidth, m = n.effectiveFilterDepth, d = n.effectiveFilterHeight, f = n.effectiveFilterWidth, h = n.padInfo.front, g = n.padInfo.top, x = n.padInfo.left, b = s === "max" ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, w = me(n.outShape, t10), S = w.values, k = n.outShape[1] * n.outShape[2] * n.outShape[3] * n.outShape[4], _ = n.outShape[2] * n.outShape[3] * n.outShape[4], E = n.outShape[3] * n.outShape[4], R = n.outShape[4]; + for (let D = 0; D < n.batchSize; ++D) { + let F = D * k, O = D * o[0]; for (let M = 0; M < n.inChannels; ++M) for (let L = 0; L < n.outDepth; ++L) { - let V = L * a - h, z = V; + let B = L * a - h, z = B; for (; z < 0; ) z += u; - let U = Math.min(n.inDepth, m + V), K = D + L * _; + let U = Math.min(n.inDepth, m + B), j = F + L * _; for (let H = 0; H < n.outHeight; ++H) { - let q = H * i - g, Z = q; - for (; Z < 0; ) - Z += c; - let ee = Math.min(n.inHeight, d + q), oe = K + H * E; - for (let J = 0; J < n.outWidth; ++J) { - let te = J * p - x, ie = te; + let X = H * i - g, J = X; + for (; J < 0; ) + J += c; + let re = Math.min(n.inHeight, d + X), ne = j + H * E; + for (let ee = 0; ee < n.outWidth; ++ee) { + let oe = ee * p - x, ie = oe; for (; ie < 0; ) ie += l; - let ce = Math.min(n.inWidth, f + te), ye = oe + J * A, Ne = b, Ie = 0, Ae = 0; - for (let ot = z; ot < U; ot += u) { - let pt = P + ot * o[1]; - for (let ze = Z; ze < ee; ze += c) { - let ct = pt + ze * o[2]; - for (let at = ie; at < ce; at += l) { - let ft = ct + at * o[3], ht = r[ft + M]; - if (s === "max" && ht > Ne ? Ne = ht : s === "avg" && (Ie += ht, Ae++), isNaN(Ne)) + let le = Math.min(n.inWidth, f + oe), ye = ne + ee * R, _e = b, ve = 0, Fe = 0; + for (let st = z; st < U; st += u) { + let lt = O + st * o[1]; + for (let We = J; We < re; We += c) { + let mt = lt + We * o[2]; + for (let it = ie; it < le; it += l) { + let ht = mt + it * o[3], gt = r[ht + M]; + if (s === "max" && gt > _e ? _e = gt : s === "avg" && (ve += gt, Fe++), isNaN(_e)) break; } - if (isNaN(Ne)) + if (isNaN(_e)) break; } - if (isNaN(Ne)) + if (isNaN(_e)) break; } - let Re = ye + M; - w[Re] = s === "avg" ? Ie / Math.max(Ae, 1) : Ne; + let Pe = ye + M; + S[Pe] = s === "avg" ? ve / Math.max(Fe, 1) : _e; } } } } - return C; + return w; } -function p2(r, e) { - let t10 = le(e.outShape, "int32"), o = e.strideDepth, n = e.strideHeight, s = e.strideWidth, a = e.dilationDepth, i = e.dilationHeight, p = e.dilationWidth, u = e.effectiveFilterDepth, c = e.effectiveFilterHeight, l = e.effectiveFilterWidth, m = e.padInfo.front, d = e.padInfo.top, f = e.padInfo.left; +function A_(r, e) { + let t10 = me(e.outShape, "int32"), o = e.strideDepth, n = e.strideHeight, s = e.strideWidth, a = e.dilationDepth, i = e.dilationHeight, p = e.dilationWidth, u = e.effectiveFilterDepth, c = e.effectiveFilterHeight, l = e.effectiveFilterWidth, m = e.padInfo.front, d = e.padInfo.top, f = e.padInfo.left; for (let h = 0; h < e.batchSize; ++h) for (let g = 0; g < e.inChannels; ++g) for (let x = 0; x < e.outDepth; ++x) { - let b = x * o - m, C = b; - for (; C < 0; ) - C += a; - let w = Math.min(e.inDepth, u + b); + let b = x * o - m, w = b; + for (; w < 0; ) + w += a; + let S = Math.min(e.inDepth, u + b); for (let k = 0; k < e.outHeight; ++k) { let _ = k * n - d, E = _; for (; E < 0; ) E += i; - let A = Math.min(e.inHeight, c + _); - for (let R = 0; R < e.outWidth; ++R) { - let D = R * s - f, P = D; - for (; P < 0; ) - P += p; - let M = Math.min(e.inWidth, l + D), L = Number.NEGATIVE_INFINITY, V = -1; - for (let z = C; z < w; z += a) { + let R = Math.min(e.inHeight, c + _); + for (let D = 0; D < e.outWidth; ++D) { + let F = D * s - f, O = F; + for (; O < 0; ) + O += p; + let M = Math.min(e.inWidth, l + F), L = Number.NEGATIVE_INFINITY, B = -1; + for (let z = w; z < S; z += a) { let U = z - b; - for (let K = E; K < A; K += i) { - let H = K - _; - for (let q = P; q < M; q += p) { - let Z = q - D, ee = r.get(h, z, K, q, g); - ee >= L && (L = ee, V = U * c * l + H * c + Z); + for (let j = E; j < R; j += i) { + let H = j - _; + for (let X = O; X < M; X += p) { + let J = X - F, re = r.get(h, z, j, X, g); + re >= L && (L = re, B = U * c * l + H * c + J); } } } - t10.set(V, h, x, k, R, g); + t10.set(B, h, x, k, D, g); } } } return t10; } -function kj(r) { +function B8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e; - j(n, "avgPool"); + Y(n, "avgPool"); let { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1; - y.assert(S.eitherStridesOrDilationsAreOne(a, u), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); - let c = S.computePool2DInfo(n.shape, s, a, u, i, p), l; + y.assert(C.eitherStridesOrDilationsAreOne(a, u), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); + let c = C.computePool2DInfo(n.shape, s, a, u, i, p), l; if (c.filterWidth === 1 && c.filterHeight === 1 && y.arraysEqual(c.inShape, c.outShape)) - l = ir({ inputs: { x: n }, backend: t10 }); + l = lr({ inputs: { x: n }, backend: t10 }); else { - let m = t10.data.get(n.dataId).values, d = y.computeStrides(n.shape), f = Jp(m, n.shape, n.dtype, d, c, "avg"); + let m = t10.data.get(n.dataId).values, d = y.computeStrides(n.shape), f = Ic(m, n.shape, n.dtype, d, c, "avg"); l = t10.makeTensorInfo(c.outShape, n.dtype, f.values); } return l; } -var c2 = { kernelName: Vo, backendName: "cpu", kernelFunc: kj }; -function Nj(r) { +var F_ = { kernelName: Yo, backendName: "cpu", kernelFunc: B8 }; +function z8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o; - j(n, "avgPool3d"); - let c = S.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.data.get(n.dataId).values, m = If(l, n.shape, n.dtype, y.computeStrides(n.shape), c, "avg"); + Y(n, "avgPool3d"); + let c = C.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.data.get(n.dataId).values, m = Mf(l, n.shape, n.dtype, y.computeStrides(n.shape), c, "avg"); return t10.makeTensorInfo(m.shape, "float32", m.values); } -var l2 = { kernelName: dp, backendName: "cpu", kernelFunc: Nj }; -function Tj(r) { +var P_ = { kernelName: qs, backendName: "cpu", kernelFunc: z8 }; +function V8(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = o; - j([n, s], "avgPool3DGrad"); - let c = S.computePool3DInfo(s.shape, a, i, 1, p, u), l = c.strideDepth, m = c.strideHeight, d = c.strideWidth, f = c.filterDepth, h = c.filterHeight, g = c.filterWidth, x = c.dilationDepth, b = c.dilationHeight, C = c.dilationWidth, w = c.effectiveFilterDepth, k = c.effectiveFilterHeight, _ = c.effectiveFilterWidth, E = w - 1 - c.padInfo.front, A = _ - 1 - c.padInfo.left, R = k - 1 - c.padInfo.top, D = le(s.shape, "float32"), P = 1 / (f * h * g), M = t10.bufferSync(n); + Y([n, s], "avgPool3DGrad"); + let c = C.computePool3DInfo(s.shape, a, i, 1, p, u), l = c.strideDepth, m = c.strideHeight, d = c.strideWidth, f = c.filterDepth, h = c.filterHeight, g = c.filterWidth, x = c.dilationDepth, b = c.dilationHeight, w = c.dilationWidth, S = c.effectiveFilterDepth, k = c.effectiveFilterHeight, _ = c.effectiveFilterWidth, E = S - 1 - c.padInfo.front, R = _ - 1 - c.padInfo.left, D = k - 1 - c.padInfo.top, F = me(s.shape, "float32"), O = 1 / (f * h * g), M = t10.bufferSync(n); for (let L = 0; L < c.batchSize; ++L) - for (let V = 0; V < c.inChannels; ++V) + for (let B = 0; B < c.inChannels; ++B) for (let z = 0; z < c.inDepth; ++z) for (let U = 0; U < c.inHeight; ++U) - for (let K = 0; K < c.inWidth; ++K) { - let H = z - E, q = U - R, Z = K - A, ee = 0; - for (let oe = 0; oe < w; oe += x) { - let J = (H + oe) / l; - if (!(J < 0 || J >= c.outDepth || Math.floor(J) !== J)) - for (let te = 0; te < k; te += b) { - let ie = (q + te) / m; + for (let j = 0; j < c.inWidth; ++j) { + let H = z - E, X = U - D, J = j - R, re = 0; + for (let ne = 0; ne < S; ne += x) { + let ee = (H + ne) / l; + if (!(ee < 0 || ee >= c.outDepth || Math.floor(ee) !== ee)) + for (let oe = 0; oe < k; oe += b) { + let ie = (X + oe) / m; if (!(ie < 0 || ie >= c.outHeight || Math.floor(ie) !== ie)) - for (let ce = 0; ce < _; ce += C) { - let ye = (Z + ce) / d; + for (let le = 0; le < _; le += w) { + let ye = (J + le) / d; if (ye < 0 || ye >= c.outWidth || Math.floor(ye) !== ye) continue; - let Ne = M.get(L, J, ie, ye, V); - ee += Ne; + let _e = M.get(L, ee, ie, ye, B); + re += _e; } } } - D.set(ee * P, L, z, U, K, V); + F.set(re * O, L, z, U, j, B); } - return t10.makeTensorInfo(D.shape, D.dtype, D.values); + return t10.makeTensorInfo(F.shape, F.dtype, F.values); } -var m2 = { kernelName: vm, backendName: "cpu", kernelFunc: Tj }; -function _j(r) { +var O_ = { kernelName: Ni, backendName: "cpu", kernelFunc: V8 }; +function W8(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s; - j([n, s], "avgPoolGrad"); - let { filterSize: i, strides: p, pad: u } = o, c = S.computePool2DInfo(a.shape, i, p, 1, u), l = c.strideHeight, m = c.strideWidth, d = c.filterHeight, f = c.filterWidth, h = c.dilationHeight, g = c.dilationWidth, x = c.effectiveFilterHeight, b = c.effectiveFilterWidth, C = b - 1 - c.padInfo.left, w = x - 1 - c.padInfo.top, k = le(a.shape, "float32"), _ = 1 / (d * f), E = t10.data.get(n.dataId).values, A = le(n.shape, "float32", E); - for (let R = 0; R < c.batchSize; ++R) - for (let D = 0; D < c.inChannels; ++D) - for (let P = 0; P < c.inHeight; ++P) + Y([n, s], "avgPoolGrad"); + let { filterSize: i, strides: p, pad: u } = o, c = C.computePool2DInfo(a.shape, i, p, 1, u), l = c.strideHeight, m = c.strideWidth, d = c.filterHeight, f = c.filterWidth, h = c.dilationHeight, g = c.dilationWidth, x = c.effectiveFilterHeight, b = c.effectiveFilterWidth, w = b - 1 - c.padInfo.left, S = x - 1 - c.padInfo.top, k = me(a.shape, "float32"), _ = 1 / (d * f), E = t10.data.get(n.dataId).values, R = me(n.shape, "float32", E); + for (let D = 0; D < c.batchSize; ++D) + for (let F = 0; F < c.inChannels; ++F) + for (let O = 0; O < c.inHeight; ++O) for (let M = 0; M < c.inWidth; ++M) { - let L = P - w, V = M - C, z = 0; + let L = O - S, B = M - w, z = 0; for (let U = 0; U < x; U += h) { - let K = (L + U) / l; - if (!(K < 0 || K >= c.outHeight || Math.floor(K) !== K)) + let j = (L + U) / l; + if (!(j < 0 || j >= c.outHeight || Math.floor(j) !== j)) for (let H = 0; H < b; H += g) { - let q = (V + H) / m; - if (q < 0 || q >= c.outWidth || Math.floor(q) !== q) + let X = (B + H) / m; + if (X < 0 || X >= c.outWidth || Math.floor(X) !== X) continue; - let Z = A.get(R, K, q, D); - z += Z; + let J = R.get(D, j, X, F); + z += J; } } - k.set(z * _, R, P, M, D); + k.set(z * _, D, O, M, F); } return t10.makeTensorInfo(k.shape, k.dtype, k.values); } -var d2 = { kernelName: mp, backendName: "cpu", kernelFunc: _j }; -function $j(r) { +var M_ = { kernelName: Gp, backendName: "cpu", kernelFunc: W8 }; +function U8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, scale: s, offset: a, mean: i, variance: p } = e; - y.assert(i.shape.length === p.shape.length, () => "Batch normalization gradient requires mean and variance to have equal ranks."), y.assert(a == null || i.shape.length === a.shape.length, () => "Batch normalization gradient requires mean and offset to have equal ranks."), y.assert(s == null || i.shape.length === s.shape.length, () => "Batch normalization gradient requires mean and scale to have equal ranks."), j([n, i, p, s, a], "batchNorm"); + y.assert(i.shape.length === p.shape.length, () => "Batch normalization gradient requires mean and variance to have equal ranks."), y.assert(a == null || i.shape.length === a.shape.length, () => "Batch normalization gradient requires mean and offset to have equal ranks."), y.assert(s == null || i.shape.length === s.shape.length, () => "Batch normalization gradient requires mean and scale to have equal ranks."), Y([n, i, p, s, a], "batchNorm"); let { varianceEpsilon: u } = o; u == null && (u = 1e-3); - let c = t10.data.get(n.dataId).values, l = t10.data.get(i.dataId).values, m = t10.data.get(p.dataId).values, d = s ? t10.data.get(s.dataId).values : new Float32Array([1]), f = a ? t10.data.get(a.dataId).values : new Float32Array([0]), h = new Float32Array(c.length), g = f.length, x = d.length, b = m.length, C = l.length, w = 0, k = 0, _ = 0, E = 0; - for (let A = 0; A < c.length; ++A) - h[A] = f[w++] + (c[A] - l[k++]) * d[_++] / Math.sqrt(m[E++] + u), w >= g && (w = 0), k >= C && (k = 0), _ >= x && (_ = 0), E >= b && (E = 0); + let c = t10.data.get(n.dataId).values, l = t10.data.get(i.dataId).values, m = t10.data.get(p.dataId).values, d = s ? t10.data.get(s.dataId).values : new Float32Array([1]), f = a ? t10.data.get(a.dataId).values : new Float32Array([0]), h = new Float32Array(c.length), g = f.length, x = d.length, b = m.length, w = l.length, S = 0, k = 0, _ = 0, E = 0; + for (let R = 0; R < c.length; ++R) + h[R] = f[S++] + (c[R] - l[k++]) * d[_++] / Math.sqrt(m[E++] + u), S >= g && (S = 0), k >= w && (k = 0), _ >= x && (_ = 0), E >= b && (E = 0); return t10.makeTensorInfo(n.shape, n.dtype, h); } -var f2 = { kernelName: sn, backendName: "cpu", kernelFunc: $j }; -function Ej(r) { +var L_ = { kernelName: wn, backendName: "cpu", kernelFunc: U8 }; +function G8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, crops: a } = o; - j([n], "batchToSpaceND"); - let i = s.reduce((x, b) => x * b), p = S.getReshaped(n.shape, s, i), u = S.getPermuted(p.length, s.length), c = S.getReshapedPermuted(n.shape, s, i), l = S.getSliceBeginCoords(a, s.length), m = S.getSliceSize(c, a, s.length), d = Le({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), f = St({ inputs: { x: d }, backend: t10, attrs: { perm: u } }), h = Le({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = To({ inputs: { x: h }, backend: t10, attrs: { begin: l, size: m } }); + Y([n], "batchToSpaceND"); + let i = s.reduce((x, b) => x * b), p = C.getReshaped(n.shape, s, i), u = C.getPermuted(p.length, s.length), c = C.getReshapedPermuted(n.shape, s, i), l = C.getSliceBeginCoords(a, s.length), m = C.getSliceSize(c, a, s.length), d = Ve({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), f = St({ inputs: { x: d }, backend: t10, attrs: { perm: u } }), h = Ve({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = Eo({ inputs: { x: h }, backend: t10, attrs: { begin: l, size: m } }); return t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(h), g; } -var h2 = { kernelName: bs, backendName: "cpu", kernelFunc: Ej }; -function Aj(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, u = jp(i, p, s.dtype, s.shape, a); +var B_ = { kernelName: js, backendName: "cpu", kernelFunc: G8 }; +function H8(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, u = yc(i, p, s.dtype, s.shape, a); return t10.makeTensorInfo([a], s.dtype, u); } -var g2 = { kernelName: ti, backendName: "cpu", kernelFunc: Aj }; -function Rj(r) { - let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e, s = t10.data.get(o.dataId).values, a = t10.data.get(n.dataId).values, i = S.assertAndGetBroadcastShape(Array.from(s), Array.from(a)); +var z_ = { kernelName: Zo, backendName: "cpu", kernelFunc: H8 }; +function K8(r) { + let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e, s = t10.data.get(o.dataId).values, a = t10.data.get(n.dataId).values, i = C.assertAndGetBroadcastShape(Array.from(s), Array.from(a)); return t10.makeTensorInfo([i.length], "int32", Int32Array.from(i)); } -var x2 = { kernelName: fp, backendName: "cpu", kernelFunc: Rj }; -var Dj = we(lo, (r, e) => { +var V_ = { kernelName: Xs, backendName: "cpu", kernelFunc: K8 }; +var q8 = Ie(go, (r, e) => { let t10 = e; return r > t10.clipValueMax ? t10.clipValueMax : r < t10.clipValueMin ? t10.clipValueMin : r; }); -var y2 = { kernelName: lo, backendName: "cpu", kernelFunc: Dj }; -var Fj = (r) => { +var W_ = { kernelName: go, backendName: "cpu", kernelFunc: q8 }; +var j8 = (r) => { let { x: e } = r.inputs, t10 = r.backend, o = new Float32Array(y.sizeFromShape(e.shape)), n = t10.data.get(e.dataId), s = n.complexTensorInfos.real, a = n.complexTensorInfos.imag, i = t10.data.get(s.dataId).values, p = t10.data.get(a.dataId).values; for (let u = 0; u < i.length; u++) { let c = i[u], l = p[u]; @@ -13187,155 +13553,155 @@ var Fj = (r) => { } return t10.makeOutput(o, e.shape, "float32"); }; -var b2 = { kernelName: hp, backendName: "cpu", kernelFunc: Fj }; -function Ys(r) { +var U_ = { kernelName: _i, backendName: "cpu", kernelFunc: j8 }; +function $a(r) { let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.data.get(o.dataId).complexTensorInfos.imag, s = t10.data.get(n.dataId).values; return t10.makeTensorInfo(n.shape, n.dtype, s); } -var C2 = { kernelName: ci, backendName: "cpu", kernelFunc: Ys }; -function Mi(r) { +var G_ = { kernelName: Mi, backendName: "cpu", kernelFunc: $a }; +function mu(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o, s = y.parseAxisParam(n, e[0].shape)[0], a = e.map((h) => h.shape); - S.assertParamsConsistent(a, s); - let i = S.computeOutShape(e.map((h) => h.shape), s); + C.assertParamsConsistent(a, s); + let i = C.computeOutShape(e.map((h) => h.shape), s); if (y.sizeFromShape(i) === 0) return t10.makeTensorInfo(i, e[0].dtype, []); let p = e.filter((h) => y.sizeFromShape(h.shape) > 0); if (p.length === 1) - return ir({ inputs: { x: p[0] }, backend: t10 }); + return lr({ inputs: { x: p[0] }, backend: t10 }); if (p[0].dtype === "complex64") { - let h = p.map((w) => Io({ inputs: { input: w }, backend: t10 })), g = p.map((w) => Ys({ inputs: { input: w }, backend: t10 })), x = Mi({ inputs: h, backend: t10, attrs: { axis: s } }), b = Mi({ inputs: g, backend: t10, attrs: { axis: s } }), C = Ht({ inputs: { real: x, imag: b }, backend: t10 }); - return h.forEach((w) => t10.disposeIntermediateTensorInfo(w)), g.forEach((w) => t10.disposeIntermediateTensorInfo(w)), t10.disposeIntermediateTensorInfo(x), t10.disposeIntermediateTensorInfo(b), C; + let h = p.map((S) => To({ inputs: { input: S }, backend: t10 })), g = p.map((S) => $a({ inputs: { input: S }, backend: t10 })), x = mu({ inputs: h, backend: t10, attrs: { axis: s } }), b = mu({ inputs: g, backend: t10, attrs: { axis: s } }), w = Kt({ inputs: { real: x, imag: b }, backend: t10 }); + return h.forEach((S) => t10.disposeIntermediateTensorInfo(S)), g.forEach((S) => t10.disposeIntermediateTensorInfo(S)), t10.disposeIntermediateTensorInfo(x), t10.disposeIntermediateTensorInfo(b), w; } let u = p.map((h) => { let x = [-1, y.sizeFromShape(h.shape.slice(s))]; - return Le({ inputs: { x: h }, backend: t10, attrs: { shape: x } }); + return Ve({ inputs: { x: h }, backend: t10, attrs: { shape: x } }); }), c = u.map((h) => ({ vals: t10.data.get(h.dataId).values, shape: h.shape })); - i = S.computeOutShape(u.map((h) => h.shape), 1); - let l = u[0].shape[0] === 1, m = Nu(c, i, e[0].dtype, l), d = S.computeOutShape(p.map((h) => h.shape), s), f = t10.makeTensorInfo(d, e[0].dtype, m); + i = C.computeOutShape(u.map((h) => h.shape), 1); + let l = u[0].shape[0] === 1, m = np(c, i, e[0].dtype, l), d = C.computeOutShape(p.map((h) => h.shape), s), f = t10.makeTensorInfo(d, e[0].dtype, m); return u.forEach((h) => t10.disposeIntermediateTensorInfo(h)), f; } -var S2 = { kernelName: Cs, backendName: "cpu", kernelFunc: Mi }; -function MS(r) { +var H_ = { kernelName: Ys, backendName: "cpu", kernelFunc: mu }; +function tI(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = o; - j([n, s], "conv2d"); - let l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l), d = m.filterHeight, f = m.filterWidth, h = m.dilationHeight, g = m.dilationWidth, x = m.padInfo.left, b = m.padInfo.top, C = m.dataFormat === "channelsLast", w = new st(m.outShape, n.dtype), k = y.computeStrides(n.shape), _ = y.computeStrides(s.shape), E = k[0], A = C ? k[1] : k[2], R = C ? k[2] : 1, D = C ? 1 : k[1], P = w.strides[0], M = C ? w.strides[1] : w.strides[2], L = C ? w.strides[2] : 1, V = C ? 1 : w.strides[1], z = t10.data.get(n.dataId).values, U = t10.data.get(s.dataId).values, K = w.values; + Y([n, s], "conv2d"); + let l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l), d = m.filterHeight, f = m.filterWidth, h = m.dilationHeight, g = m.dilationWidth, x = m.padInfo.left, b = m.padInfo.top, w = m.dataFormat === "channelsLast", S = new tt(m.outShape, n.dtype), k = y.computeStrides(n.shape), _ = y.computeStrides(s.shape), E = k[0], R = w ? k[1] : k[2], D = w ? k[2] : 1, F = w ? 1 : k[1], O = S.strides[0], M = w ? S.strides[1] : S.strides[2], L = w ? S.strides[2] : 1, B = w ? 1 : S.strides[1], z = t10.data.get(n.dataId).values, U = t10.data.get(s.dataId).values, j = S.values; for (let H = 0; H < m.batchSize; ++H) { - let q = H * E, Z = H * P; - for (let ee = 0; ee < m.outHeight; ++ee) { - let oe = Z + ee * M, J = ee * m.strideHeight - b; - for (let te = 0; te < d; ++te) { - let ie = J + te * h; + let X = H * E, J = H * O; + for (let re = 0; re < m.outHeight; ++re) { + let ne = J + re * M, ee = re * m.strideHeight - b; + for (let oe = 0; oe < d; ++oe) { + let ie = ee + oe * h; if (ie < 0 || ie >= m.inHeight) continue; - let ce = te * _[0], ye = q + ie * A; - for (let Ne = 0; Ne < m.outWidth; ++Ne) { - let Ie = oe + Ne * L, Ae = Ne * m.strideWidth - x; - for (let Re = 0; Re < f; ++Re) { - let ot = Ae + Re * g; - if (ot < 0 || ot >= m.inWidth) + let le = oe * _[0], ye = X + ie * R; + for (let _e = 0; _e < m.outWidth; ++_e) { + let ve = ne + _e * L, Fe = _e * m.strideWidth - x; + for (let Pe = 0; Pe < f; ++Pe) { + let st = Fe + Pe * g; + if (st < 0 || st >= m.inWidth) continue; - let pt = ce + Re * _[1], ze = ye + ot * R, ct = pt; - for (let at = 0; at < m.inChannels; ++at) { - let ft = z[ze + at * D]; - for (let ht = 0; ht < m.outChannels; ++ht) - K[Ie + ht * V] += ft * U[ct + ht]; - ct += m.outChannels; + let lt = le + Pe * _[1], We = ye + st * D, mt = lt; + for (let it = 0; it < m.inChannels; ++it) { + let ht = z[We + it * F]; + for (let gt = 0; gt < m.outChannels; ++gt) + j[ve + gt * B] += ht * U[mt + gt]; + mt += m.outChannels; } } } } } } - return t10.makeTensorInfo(w.shape, w.dtype, K); + return t10.makeTensorInfo(S.shape, S.dtype, j); } -var w2 = { kernelName: Uo, backendName: "cpu", kernelFunc: MS }; -function Oj(r) { +var K_ = { kernelName: en, backendName: "cpu", kernelFunc: tI }; +function X8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, filterShape: c } = o; - j([n, s], "conv2dBackpropFilter"); - let l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), { strideHeight: d, strideWidth: f, filterHeight: h, filterWidth: g } = m, x = m.dataFormat === "channelsLast", b = new st(m.filterShape, "float32"), C = m.padInfo.left, w = m.padInfo.top, k = t10.data.get(n.dataId).values, _ = t10.data.get(s.dataId).values, E = new st(n.shape, n.dtype, k), A = new st(s.shape, s.dtype, _); - for (let R = 0; R < h; ++R) { - let D = Math.max(0, Math.ceil((w - R) / d)), P = Math.min(m.outHeight, (m.inHeight + w - R) / d); + Y([n, s], "conv2dBackpropFilter"); + let l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), { strideHeight: d, strideWidth: f, filterHeight: h, filterWidth: g } = m, x = m.dataFormat === "channelsLast", b = new tt(m.filterShape, "float32"), w = m.padInfo.left, S = m.padInfo.top, k = t10.data.get(n.dataId).values, _ = t10.data.get(s.dataId).values, E = new tt(n.shape, n.dtype, k), R = new tt(s.shape, s.dtype, _); + for (let D = 0; D < h; ++D) { + let F = Math.max(0, Math.ceil((S - D) / d)), O = Math.min(m.outHeight, (m.inHeight + S - D) / d); for (let M = 0; M < g; ++M) { - let L = Math.max(0, Math.ceil((C - M) / f)), V = Math.min(m.outWidth, (m.inWidth + C - M) / f); + let L = Math.max(0, Math.ceil((w - M) / f)), B = Math.min(m.outWidth, (m.inWidth + w - M) / f); for (let z = 0; z < m.inChannels; ++z) for (let U = 0; U < m.outChannels; ++U) { - let K = 0; + let j = 0; for (let H = 0; H < m.batchSize; ++H) - for (let q = D; q < P; ++q) { - let Z = R + q * d - w; - for (let ee = L; ee < V; ++ee) { - let oe = M + ee * f - C; - x ? K += E.get(H, Z, oe, z) * A.get(H, q, ee, U) : K += E.get(H, z, Z, oe) * A.get(H, U, q, ee); + for (let X = F; X < O; ++X) { + let J = D + X * d - S; + for (let re = L; re < B; ++re) { + let ne = M + re * f - w; + x ? j += E.get(H, J, ne, z) * R.get(H, X, re, U) : j += E.get(H, z, J, ne) * R.get(H, U, X, re); } } - b.set(K, R, M, z, U); + b.set(j, D, M, z, U); } } } return t10.makeTensorInfo(b.shape, b.dtype, b.values); } -var I2 = { kernelName: oi, backendName: "cpu", kernelFunc: Oj }; -function Pj(r) { +var q_ = { kernelName: $i, backendName: "cpu", kernelFunc: X8 }; +function Y8(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { inputShape: a, strides: i, pad: p, dataFormat: u, dimRoundingMode: c } = o; - j([n, s], "conv2dBackpropInput"); - let l = y.computeStrides(s.shape), m = y.computeStrides(n.shape), d = S.convertConv2DDataFormat(u), f = S.computeConv2DInfo(a, s.shape, i, 1, p, c, false, d), h = new st(f.inShape, "float32"), g = h.values, x = t10.data.get(n.dataId).values, b = t10.data.get(s.dataId).values, [C, w, k] = l, { batchSize: _, filterHeight: E, filterWidth: A, inChannels: R, inHeight: D, inWidth: P, outChannels: M, outHeight: L, outWidth: V, strideHeight: z, strideWidth: U } = f; + Y([n, s], "conv2dBackpropInput"); + let l = y.computeStrides(s.shape), m = y.computeStrides(n.shape), d = C.convertConv2DDataFormat(u), f = C.computeConv2DInfo(a, s.shape, i, 1, p, c, false, d), h = new tt(f.inShape, "float32"), g = h.values, x = t10.data.get(n.dataId).values, b = t10.data.get(s.dataId).values, [w, S, k] = l, { batchSize: _, filterHeight: E, filterWidth: R, inChannels: D, inHeight: F, inWidth: O, outChannels: M, outHeight: L, outWidth: B, strideHeight: z, strideWidth: U } = f; d = f.dataFormat; - let K = E - 1 - f.padInfo.top, H = A - 1 - f.padInfo.left, q = d === "channelsLast", Z = h.strides[0], ee = q ? h.strides[1] : h.strides[2], oe = q ? h.strides[2] : 1, J = q ? 1 : h.strides[1], te = m[0], ie = q ? m[1] : m[2], ce = q ? m[2] : 1, ye = q ? 1 : m[1]; - for (let Ne = 0; Ne < _; ++Ne) - for (let Ie = 0; Ie < R; ++Ie) - for (let Ae = 0; Ae < D; ++Ae) { - let Re = Ae - K, ot = Math.max(0, Math.ceil(Re / z)), pt = Math.min(L, (E + Re) / z); - for (let ze = 0; ze < P; ++ze) { - let ct = ze - H, at = Math.max(0, Math.ceil(ct / U)), ft = Math.min(V, (A + ct) / U), ht = 0; - for (let Pt = ot; Pt < pt; ++Pt) { - let qr = Pt * z - Re; - for (let er = at; er < ft; ++er) { - let Nt = er * U - ct, tr = te * Ne + ie * Pt + ce * er, rr = C * (E - 1 - qr) + w * (A - 1 - Nt) + k * Ie; - for (let jr = 0; jr < M; ++jr) { - let Xr = x[tr + ye * jr], cr = b[rr + jr]; - ht += Xr * cr; + let j = E - 1 - f.padInfo.top, H = R - 1 - f.padInfo.left, X = d === "channelsLast", J = h.strides[0], re = X ? h.strides[1] : h.strides[2], ne = X ? h.strides[2] : 1, ee = X ? 1 : h.strides[1], oe = m[0], ie = X ? m[1] : m[2], le = X ? m[2] : 1, ye = X ? 1 : m[1]; + for (let _e = 0; _e < _; ++_e) + for (let ve = 0; ve < D; ++ve) + for (let Fe = 0; Fe < F; ++Fe) { + let Pe = Fe - j, st = Math.max(0, Math.ceil(Pe / z)), lt = Math.min(L, (E + Pe) / z); + for (let We = 0; We < O; ++We) { + let mt = We - H, it = Math.max(0, Math.ceil(mt / U)), ht = Math.min(B, (R + mt) / U), gt = 0; + for (let Mt = st; Mt < lt; ++Mt) { + let Qr = Mt * z - Pe; + for (let or = it; or < ht; ++or) { + let Tt = or * U - mt, nr = oe * _e + ie * Mt + le * or, sr = w * (E - 1 - Qr) + S * (R - 1 - Tt) + k * ve; + for (let Zr = 0; Zr < M; ++Zr) { + let Jr = x[nr + ye * Zr], fr = b[sr + Zr]; + gt += Jr * fr; } } } - let Rr = Z * Ne + ee * Ae + oe * ze + J * Ie; - g[Rr] = ht; + let Or = J * _e + re * Fe + ne * We + ee * ve; + g[Or] = gt; } } return t10.makeTensorInfo(h.shape, h.dtype, h.values); } -var v2 = { kernelName: Go, backendName: "cpu", kernelFunc: Pj }; -function Mj(r) { +var j_ = { kernelName: tn, backendName: "cpu", kernelFunc: Y8 }; +function Q8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o; - j([n, s], "conv3d"); - let u = S.computeConv3DInfo(n.shape, s.shape, a, p, i), { filterDepth: c, filterHeight: l, filterWidth: m, dilationDepth: d, dilationHeight: f, dilationWidth: h, padInfo: g } = u, x = g.front, b = g.left, C = g.top, w = new st(u.outShape, n.dtype), k = t10.data.get(n.dataId).values, _ = t10.data.get(s.dataId).values, E = w.values, A = y.computeStrides(n.shape), R = y.computeStrides(s.shape); - for (let D = 0; D < u.batchSize; ++D) { - let P = D * A[0], M = D * w.strides[0]; + Y([n, s], "conv3d"); + let u = C.computeConv3DInfo(n.shape, s.shape, a, p, i), { filterDepth: c, filterHeight: l, filterWidth: m, dilationDepth: d, dilationHeight: f, dilationWidth: h, padInfo: g } = u, x = g.front, b = g.left, w = g.top, S = new tt(u.outShape, n.dtype), k = t10.data.get(n.dataId).values, _ = t10.data.get(s.dataId).values, E = S.values, R = y.computeStrides(n.shape), D = y.computeStrides(s.shape); + for (let F = 0; F < u.batchSize; ++F) { + let O = F * R[0], M = F * S.strides[0]; for (let L = 0; L < u.outDepth; ++L) { - let V = M + L * w.strides[1], z = L * u.strideDepth - x; + let B = M + L * S.strides[1], z = L * u.strideDepth - x; for (let U = 0; U < c; ++U) { - let K = z + U * d; - if (K < 0 || K >= u.inDepth) + let j = z + U * d; + if (j < 0 || j >= u.inDepth) continue; - let H = U * R[0], q = P + K * A[1]; - for (let Z = 0; Z < u.outHeight; ++Z) { - let ee = V + Z * w.strides[2], oe = Z * u.strideHeight - C; - for (let J = 0; J < l; ++J) { - let te = oe + J * f; - if (te < 0 || te >= u.inHeight) + let H = U * D[0], X = O + j * R[1]; + for (let J = 0; J < u.outHeight; ++J) { + let re = B + J * S.strides[2], ne = J * u.strideHeight - w; + for (let ee = 0; ee < l; ++ee) { + let oe = ne + ee * f; + if (oe < 0 || oe >= u.inHeight) continue; - let ie = H + J * R[1], ce = q + te * A[2]; + let ie = H + ee * D[1], le = X + oe * R[2]; for (let ye = 0; ye < u.outWidth; ++ye) { - let Ne = ee + ye * u.outChannels, Ie = ye * u.strideWidth - b; - for (let Ae = 0; Ae < m; ++Ae) { - let Re = Ie + Ae * h; - if (Re < 0 || Re >= u.inWidth) + let _e = re + ye * u.outChannels, ve = ye * u.strideWidth - b; + for (let Fe = 0; Fe < m; ++Fe) { + let Pe = ve + Fe * h; + if (Pe < 0 || Pe >= u.inWidth) continue; - let ot = ie + Ae * R[2], pt = ce + Re * u.inChannels, ze = ot; - for (let ct = 0; ct < u.inChannels; ++ct) { - let at = k[pt + ct]; - for (let ft = 0; ft < u.outChannels; ++ft) - E[Ne + ft] += at * _[ze + ft]; - ze += u.outChannels; + let st = ie + Fe * D[2], lt = le + Pe * u.inChannels, We = st; + for (let mt = 0; mt < u.inChannels; ++mt) { + let it = k[lt + mt]; + for (let ht = 0; ht < u.outChannels; ++ht) + E[_e + ht] += it * _[We + ht]; + We += u.outChannels; } } } @@ -13344,37 +13710,37 @@ function Mj(r) { } } } - return t10.makeTensorInfo(w.shape, w.dtype, w.values); + return t10.makeTensorInfo(S.shape, S.dtype, S.values); } -var k2 = { kernelName: gp, backendName: "cpu", kernelFunc: Mj }; -function Lj(r) { +var X_ = { kernelName: rn, backendName: "cpu", kernelFunc: Q8 }; +function Z8(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, filterShape: p } = o; - j([n, s], "conv3dBackpropFilterV2"); - let u = y.computeStrides(n.shape), c = y.computeStrides(s.shape), l = S.computeConv3DInfo(n.shape, p, a, 1, i), m = l.strideDepth, d = l.strideHeight, f = l.strideWidth, h = l.filterDepth, g = l.filterHeight, x = l.filterWidth, b = new st(l.filterShape, "float32"), C = b.values, [w, k, _, E] = b.strides, A = t10.data.get(s.dataId).values, [R, D, P, M] = c, L = t10.data.get(n.dataId).values, [V, z, U, K] = u, H = l.padInfo.front, q = l.padInfo.left, Z = l.padInfo.top; - for (let ee = 0; ee < h; ++ee) { - let oe = Math.max(0, Math.ceil((H - ee) / m)), J = Math.min(l.outDepth, (l.inDepth + H - ee) / m), te = ee * w; + Y([n, s], "conv3dBackpropFilterV2"); + let u = y.computeStrides(n.shape), c = y.computeStrides(s.shape), l = C.computeConv3DInfo(n.shape, p, a, 1, i), m = l.strideDepth, d = l.strideHeight, f = l.strideWidth, h = l.filterDepth, g = l.filterHeight, x = l.filterWidth, b = new tt(l.filterShape, "float32"), w = b.values, [S, k, _, E] = b.strides, R = t10.data.get(s.dataId).values, [D, F, O, M] = c, L = t10.data.get(n.dataId).values, [B, z, U, j] = u, H = l.padInfo.front, X = l.padInfo.left, J = l.padInfo.top; + for (let re = 0; re < h; ++re) { + let ne = Math.max(0, Math.ceil((H - re) / m)), ee = Math.min(l.outDepth, (l.inDepth + H - re) / m), oe = re * S; for (let ie = 0; ie < g; ++ie) { - let ce = Math.max(0, Math.ceil((Z - ie) / d)), ye = Math.min(l.outHeight, (l.inHeight + Z - ie) / d), Ne = ie * k + te; - for (let Ie = 0; Ie < x; ++Ie) { - let Ae = Math.max(0, Math.ceil((q - Ie) / f)), Re = Math.min(l.outWidth, (l.inWidth + q - Ie) / f), ot = Ie * _ + Ne; - for (let pt = 0; pt < l.inChannels; ++pt) { - let ze = pt * E + ot; - for (let ct = 0; ct < l.outChannels; ++ct) { - let at = 0; - for (let ft = 0; ft < l.batchSize; ++ft) { - let ht = ft * V, Rr = ft * R; - for (let Pt = oe; Pt < J; ++Pt) { - let er = (ee + Pt * m - H) * z + ht, Nt = Pt * D + Rr; - for (let tr = ce; tr < ye; ++tr) { - let jr = (ie + tr * d - Z) * U + er, Xr = tr * P + Nt; - for (let cr = Ae; cr < Re; ++cr) { - let Do = (Ie + cr * f - q) * K + jr, hs = cr * M + Xr; - at += L[Do + pt] * A[hs + ct]; + let le = Math.max(0, Math.ceil((J - ie) / d)), ye = Math.min(l.outHeight, (l.inHeight + J - ie) / d), _e = ie * k + oe; + for (let ve = 0; ve < x; ++ve) { + let Fe = Math.max(0, Math.ceil((X - ve) / f)), Pe = Math.min(l.outWidth, (l.inWidth + X - ve) / f), st = ve * _ + _e; + for (let lt = 0; lt < l.inChannels; ++lt) { + let We = lt * E + st; + for (let mt = 0; mt < l.outChannels; ++mt) { + let it = 0; + for (let ht = 0; ht < l.batchSize; ++ht) { + let gt = ht * B, Or = ht * D; + for (let Mt = ne; Mt < ee; ++Mt) { + let or = (re + Mt * m - H) * z + gt, Tt = Mt * F + Or; + for (let nr = le; nr < ye; ++nr) { + let Zr = (ie + nr * d - J) * U + or, Jr = nr * O + Tt; + for (let fr = Fe; fr < Pe; ++fr) { + let Mo = (ve + fr * f - X) * j + Zr, Vs = fr * M + Jr; + it += L[Mo + lt] * R[Vs + mt]; } } } } - C[ze + ct] = at; + w[We + mt] = it; } } } @@ -13382,215 +13748,215 @@ function Lj(r) { } return t10.makeTensorInfo(b.shape, b.dtype, b.values); } -var N2 = { kernelName: km, backendName: "cpu", kernelFunc: Lj }; -function Bj(r) { +var Y_ = { kernelName: za, backendName: "cpu", kernelFunc: Z8 }; +function J8(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { pad: a, strides: i, inputShape: p } = o; - j([n], "conv3dBackpropInputV2"); - let u = y.computeStrides(n.shape), c = y.computeStrides(s.shape), l = S.computeConv3DInfo(p, s.shape, i, 1, a), m = new st(l.inShape, "float32"), d = m.values, [f, h, g, x] = m.strides, b = t10.data.get(n.dataId).values, [C, w, k, _] = u, E = t10.data.get(s.dataId).values, [A, R, D, P] = c, { batchSize: M, filterDepth: L, filterHeight: V, filterWidth: z, inChannels: U, inDepth: K, inHeight: H, inWidth: q, outChannels: Z, outDepth: ee, outHeight: oe, outWidth: J, strideDepth: te, strideHeight: ie, strideWidth: ce } = l, ye = L - 1 - l.padInfo.front, Ne = V - 1 - l.padInfo.top, Ie = z - 1 - l.padInfo.left; - for (let Ae = 0; Ae < M; ++Ae) - for (let Re = 0; Re < U; ++Re) - for (let ot = 0; ot < K; ++ot) { - let pt = ot - ye, ze = Math.max(0, Math.ceil(pt / te)), ct = Math.min(ee, (L + pt) / te); - for (let at = 0; at < H; ++at) { - let ft = at - Ne, ht = Math.max(0, Math.ceil(ft / ie)), Rr = Math.min(oe, (V + ft) / ie); - for (let Pt = 0; Pt < q; ++Pt) { - let qr = Pt - Ie, er = Math.max(0, Math.ceil(qr / ce)), Nt = Math.min(J, (z + qr) / ce), tr = 0; - for (let rr = ze; rr < ct; ++rr) { - let jr = rr * te - pt; - for (let Xr = ht; Xr < Rr; ++Xr) { - let cr = Xr * ie - ft; - for (let ea = er; ea < Nt; ++ea) { - let Do = ea * ce - qr, hs = C * Ae + w * rr + k * Xr + _ * ea, qt = A * (L - 1 - jr) + R * (V - 1 - cr) + D * (z - 1 - Do) + P * Re; - for (let ta = 0; ta < Z; ++ta) { - let Dc = b[hs + ta], Fc = E[qt + ta]; - tr += Dc * Fc; + Y([n], "conv3dBackpropInputV2"); + let u = y.computeStrides(n.shape), c = y.computeStrides(s.shape), l = C.computeConv3DInfo(p, s.shape, i, 1, a), m = new tt(l.inShape, "float32"), d = m.values, [f, h, g, x] = m.strides, b = t10.data.get(n.dataId).values, [w, S, k, _] = u, E = t10.data.get(s.dataId).values, [R, D, F, O] = c, { batchSize: M, filterDepth: L, filterHeight: B, filterWidth: z, inChannels: U, inDepth: j, inHeight: H, inWidth: X, outChannels: J, outDepth: re, outHeight: ne, outWidth: ee, strideDepth: oe, strideHeight: ie, strideWidth: le } = l, ye = L - 1 - l.padInfo.front, _e = B - 1 - l.padInfo.top, ve = z - 1 - l.padInfo.left; + for (let Fe = 0; Fe < M; ++Fe) + for (let Pe = 0; Pe < U; ++Pe) + for (let st = 0; st < j; ++st) { + let lt = st - ye, We = Math.max(0, Math.ceil(lt / oe)), mt = Math.min(re, (L + lt) / oe); + for (let it = 0; it < H; ++it) { + let ht = it - _e, gt = Math.max(0, Math.ceil(ht / ie)), Or = Math.min(ne, (B + ht) / ie); + for (let Mt = 0; Mt < X; ++Mt) { + let Qr = Mt - ve, or = Math.max(0, Math.ceil(Qr / le)), Tt = Math.min(ee, (z + Qr) / le), nr = 0; + for (let sr = We; sr < mt; ++sr) { + let Zr = sr * oe - lt; + for (let Jr = gt; Jr < Or; ++Jr) { + let fr = Jr * ie - ht; + for (let Fa = or; Fa < Tt; ++Fa) { + let Mo = Fa * le - Qr, Vs = w * Fe + S * sr + k * Jr + _ * Fa, Xt = R * (L - 1 - Zr) + D * (B - 1 - fr) + F * (z - 1 - Mo) + O * Pe; + for (let Pa = 0; Pa < J; ++Pa) { + let el = b[Vs + Pa], tl = E[Xt + Pa]; + nr += el * tl; } } } } - d[f * Ae + h * ot + g * at + x * Pt + Re] = tr; + d[f * Fe + h * st + g * it + x * Mt + Pe] = nr; } } } return t10.makeTensorInfo(m.shape, m.dtype, m.values); } -var T2 = { kernelName: xp, backendName: "cpu", kernelFunc: Bj }; -var Vj = we(Ho, (r) => Math.cos(r)); -var _2 = { kernelName: Ho, backendName: "cpu", kernelFunc: Vj }; -var zj = we(Ko, (r) => Math.cosh(r)); -var $2 = { kernelName: Ko, backendName: "cpu", kernelFunc: zj }; -function Wj(r) { - let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, [c, l, m, d] = n.shape, f = s.shape[0], [h, g] = i, x = le([f, h, g, d], "float32"), b = t10.data.get(s.dataId).values, C = t10.data.get(a.dataId).values, w = t10.data.get(n.dataId).values, k = y.computeStrides(n.shape), _ = y.computeStrides(x.shape); +var Q_ = { kernelName: on, backendName: "cpu", kernelFunc: J8 }; +var eY = Ie(nn, (r) => Math.cos(r)); +var Z_ = { kernelName: nn, backendName: "cpu", kernelFunc: eY }; +var tY = Ie(sn, (r) => Math.cosh(r)); +var J_ = { kernelName: sn, backendName: "cpu", kernelFunc: tY }; +function rY(r) { + let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, [c, l, m, d] = n.shape, f = s.shape[0], [h, g] = i, x = me([f, h, g, d], "float32"), b = t10.data.get(s.dataId).values, w = t10.data.get(a.dataId).values, S = t10.data.get(n.dataId).values, k = y.computeStrides(n.shape), _ = y.computeStrides(x.shape); for (let E = 0; E < f; E++) { - let A = E * 4, R = b[A], D = b[A + 1], P = b[A + 2], M = b[A + 3], L = C[E]; + let R = E * 4, D = b[R], F = b[R + 1], O = b[R + 2], M = b[R + 3], L = w[E]; if (L >= c) continue; - let V = h > 1 ? (P - R) * (l - 1) / (h - 1) : 0, z = g > 1 ? (M - D) * (m - 1) / (g - 1) : 0; + let B = h > 1 ? (O - D) * (l - 1) / (h - 1) : 0, z = g > 1 ? (M - F) * (m - 1) / (g - 1) : 0; for (let U = 0; U < h; U++) { - let K = h > 1 ? R * (l - 1) + U * V : 0.5 * (R + P) * (l - 1); - if (K < 0 || K > l - 1) { + let j = h > 1 ? D * (l - 1) + U * B : 0.5 * (D + O) * (l - 1); + if (j < 0 || j > l - 1) { for (let H = 0; H < g; H++) - for (let q = 0; q < d; q++) { - let Z = q + H * _[2] + U * _[1] + E * _[0]; - x.values[Z] = u; + for (let X = 0; X < d; X++) { + let J = X + H * _[2] + U * _[1] + E * _[0]; + x.values[J] = u; } continue; } if (p === "bilinear") { - let H = Math.floor(K), q = Math.ceil(K), Z = K - H; - for (let ee = 0; ee < g; ee++) { - let oe = g > 1 ? D * (m - 1) + ee * z : 0.5 * (D + M) * (m - 1); - if (oe < 0 || oe > m - 1) { - for (let ce = 0; ce < d; ce++) { - let ye = ce + ee * _[2] + U * _[1] + E * _[0]; + let H = Math.floor(j), X = Math.ceil(j), J = j - H; + for (let re = 0; re < g; re++) { + let ne = g > 1 ? F * (m - 1) + re * z : 0.5 * (F + M) * (m - 1); + if (ne < 0 || ne > m - 1) { + for (let le = 0; le < d; le++) { + let ye = le + re * _[2] + U * _[1] + E * _[0]; x.values[ye] = u; } continue; } - let J = Math.floor(oe), te = Math.ceil(oe), ie = oe - J; - for (let ce = 0; ce < d; ce++) { - let ye = ce + J * k[2] + H * k[1] + L * k[0], Ne = w[ye]; - ye = ce + te * k[2] + H * k[1] + L * k[0]; - let Ie = w[ye]; - ye = ce + J * k[2] + q * k[1] + L * k[0]; - let Ae = w[ye]; - ye = ce + te * k[2] + q * k[1] + L * k[0]; - let Re = w[ye], ot = Ne + (Ie - Ne) * ie, pt = Ae + (Re - Ae) * ie; - ye = ce + ee * _[2] + U * _[1] + E * _[0], x.values[ye] = ot + (pt - ot) * Z; + let ee = Math.floor(ne), oe = Math.ceil(ne), ie = ne - ee; + for (let le = 0; le < d; le++) { + let ye = le + ee * k[2] + H * k[1] + L * k[0], _e = S[ye]; + ye = le + oe * k[2] + H * k[1] + L * k[0]; + let ve = S[ye]; + ye = le + ee * k[2] + X * k[1] + L * k[0]; + let Fe = S[ye]; + ye = le + oe * k[2] + X * k[1] + L * k[0]; + let Pe = S[ye], st = _e + (ve - _e) * ie, lt = Fe + (Pe - Fe) * ie; + ye = le + re * _[2] + U * _[1] + E * _[0], x.values[ye] = st + (lt - st) * J; } } } else for (let H = 0; H < g; ++H) { - let q = g > 1 ? D * (m - 1) + H * z : 0.5 * (D + M) * (m - 1); - if (q < 0 || q > m - 1) { - for (let oe = 0; oe < d; oe++) { - let J = oe + H * _[2] + U * _[1] + E * _[0]; - x.values[J] = u; + let X = g > 1 ? F * (m - 1) + H * z : 0.5 * (F + M) * (m - 1); + if (X < 0 || X > m - 1) { + for (let ne = 0; ne < d; ne++) { + let ee = ne + H * _[2] + U * _[1] + E * _[0]; + x.values[ee] = u; } continue; } - let Z = Math.round(q), ee = Math.round(K); - for (let oe = 0; oe < d; oe++) { - let J = oe + Z * k[2] + ee * k[1] + L * k[0], te = oe + H * _[2] + U * _[1] + E * _[0]; - x.values[te] = w[J]; + let J = Math.round(X), re = Math.round(j); + for (let ne = 0; ne < d; ne++) { + let ee = ne + J * k[2] + re * k[1] + L * k[0], oe = ne + H * _[2] + U * _[1] + E * _[0]; + x.values[oe] = S[ee]; } } } } return t10.makeTensorInfo(x.shape, x.dtype, x.values); } -var E2 = { kernelName: Xo, backendName: "cpu", kernelFunc: Wj }; -function Uj(r) { +var e$ = { kernelName: pn, backendName: "cpu", kernelFunc: rY }; +function oY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - j(n, "cumprod"); - let p = S.getAxesPermutation([s], n.shape.length), u = n; + Y(n, "cumprod"); + let p = C.getAxesPermutation([s], n.shape.length), u = n; p != null && (u = St({ inputs: { x: n }, backend: t10, attrs: { perm: p } })); - let c = S.getInnerMostAxes(1, n.shape.length)[0]; + let c = C.getInnerMostAxes(1, n.shape.length)[0]; if (c !== u.shape.length - 1) throw new Error(`backend.cumprod in CPU expects an inner-most axis=${u.shape.length - 1} but got axis=${c}`); let l = dt(u.dtype, "int32"), m = y.makeOnesTypedArray(y.sizeFromShape(u.shape), l), d = t10.data.get(u.dataId).values, f = u.shape[u.shape.length - 1], h = i ? (x, b) => x + f - b - 1 : (x, b) => x + b; for (let x = 0; x < d.length; x += f) for (let b = 0; b < f; b++) { - let C = h(x, b); + let w = h(x, b); if (b === 0) - m[C] = a ? 1 : d[C]; + m[w] = a ? 1 : d[w]; else { - let w = h(x, b - 1); - m[C] = a ? d[w] * m[w] : d[C] * m[w]; + let S = h(x, b - 1); + m[w] = a ? d[S] * m[S] : d[w] * m[S]; } } let g = t10.makeTensorInfo(u.shape, l, m); if (p != null) { - let x = S.getUndoAxesPermutation(p), b = St({ inputs: { x: g }, backend: t10, attrs: { perm: x } }); + let x = C.getUndoAxesPermutation(p), b = St({ inputs: { x: g }, backend: t10, attrs: { perm: x } }); return t10.disposeIntermediateTensorInfo(g), t10.disposeIntermediateTensorInfo(u), b; } return g; } -var A2 = { kernelName: qo, backendName: "cpu", kernelFunc: Uj }; -function Gj(r) { +var t$ = { kernelName: an, backendName: "cpu", kernelFunc: oY }; +function nY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - j(n, "cumsum"); - let p = S.getAxesPermutation([s], n.shape.length), u = n; + Y(n, "cumsum"); + let p = C.getAxesPermutation([s], n.shape.length), u = n; p != null && (u = St({ inputs: { x: n }, backend: t10, attrs: { perm: p } })); - let c = S.getInnerMostAxes(1, n.shape.length)[0]; + let c = C.getInnerMostAxes(1, n.shape.length)[0]; if (c !== u.shape.length - 1) throw new Error(`backend.cumsum in CPU expects an inner-most axis=${u.shape.length - 1} but got axis=${c}`); let l = dt(u.dtype, "int32"), m = y.makeZerosTypedArray(y.sizeFromShape(u.shape), l), d = t10.data.get(u.dataId).values, f = u.shape[u.shape.length - 1], h = i ? (x, b) => x + f - b - 1 : (x, b) => x + b; for (let x = 0; x < d.length; x += f) for (let b = 0; b < f; b++) { - let C = h(x, b); + let w = h(x, b); if (b === 0) - m[C] = a ? 0 : d[C]; + m[w] = a ? 0 : d[w]; else { - let w = h(x, b - 1); - m[C] = a ? d[w] + m[w] : d[C] + m[w]; + let S = h(x, b - 1); + m[w] = a ? d[S] + m[S] : d[w] + m[S]; } } let g = t10.makeTensorInfo(u.shape, l, m); if (p != null) { - let x = S.getUndoAxesPermutation(p), b = St({ inputs: { x: g }, backend: t10, attrs: { perm: x } }); + let x = C.getUndoAxesPermutation(p), b = St({ inputs: { x: g }, backend: t10, attrs: { perm: x } }); return t10.disposeIntermediateTensorInfo(g), t10.disposeIntermediateTensorInfo(u), b; } return g; } -var R2 = { kernelName: jo, backendName: "cpu", kernelFunc: Gj }; -function Hj(r) { +var r$ = { kernelName: un, backendName: "cpu", kernelFunc: nY }; +function sY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a, binaryOutput: i } = o; if (n.shape.length === 1) { - let p = t10.data.get(n.dataId).values, u = t10.data.get(s.dataId).values, c = jp(p, u, s.dtype, s.shape, a); + let p = t10.data.get(n.dataId).values, u = t10.data.get(s.dataId).values, c = yc(p, u, s.dtype, s.shape, a); return t10.makeTensorInfo([a], s.dtype, c); } else if (n.shape.length === 2) { - let p = t10.bufferSync(n), u = t10.bufferSync(s), c = uf(p, u, a, i); + let p = t10.bufferSync(n), u = t10.bufferSync(s), c = If(p, u, a, i); return t10.makeTensorInfo(c.shape, s.dtype, c.values); } throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`); } -var D2 = { kernelName: ni, backendName: "cpu", kernelFunc: Hj }; -function Kj(r) { +var o$ = { kernelName: Qs, backendName: "cpu", kernelFunc: sY }; +function aY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockSize: s, dataFormat: a } = o; y.assert(a === "NHWC", () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${a}`); let i = n.shape[0], p = n.shape[1], u = n.shape[2], c = n.shape[3], l = p * s, m = u * s, d = c / (s * s), f = t10.data.get(n.dataId).values, h = new Float32Array(i * l * m * d), g = 0; for (let x = 0; x < i; ++x) for (let b = 0; b < l; ++b) { - let C = Math.floor(b / s), w = b % s; + let w = Math.floor(b / s), S = b % s; for (let k = 0; k < m; ++k) { - let _ = Math.floor(k / s), E = k % s, A = (w * s + E) * d; - for (let R = 0; R < d; ++R) { - let P = R + A + c * (_ + u * (C + p * x)); - h[g++] = f[P]; + let _ = Math.floor(k / s), E = k % s, R = (S * s + E) * d; + for (let D = 0; D < d; ++D) { + let O = D + R + c * (_ + u * (w + p * x)); + h[g++] = f[O]; } } } return t10.makeTensorInfo([i, l, m, d], n.dtype, h); } -var F2 = { kernelName: Yo, backendName: "cpu", kernelFunc: Kj }; -function LS(r) { +var n$ = { kernelName: cn, backendName: "cpu", kernelFunc: aY }; +function rI(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p, dimRoundingMode: u } = o; - j([n, s], "depthwiseConv2DNative"); + Y([n, s], "depthwiseConv2DNative"); let c = y.computeStrides(n.shape), l = y.computeStrides(s.shape), m = p; - m == null && (m = [1, 1]), y.assert(S.eitherStridesOrDilationsAreOne(a, m), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`); - let d = S.computeConv2DInfo(n.shape, s.shape, a, m, i, u, true), { filterHeight: f, filterWidth: h, dilationHeight: g, dilationWidth: x, padInfo: b } = d, C = b.left, w = b.top, k = d.outChannels / d.inChannels, _ = new st(d.outShape, n.dtype), E = t10.data.get(n.dataId).values, A = t10.data.get(s.dataId).values, R = _.values; - for (let D = 0; D < d.batchSize; ++D) { - let P = D * c[0], M = D * _.strides[0]; + m == null && (m = [1, 1]), y.assert(C.eitherStridesOrDilationsAreOne(a, m), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`); + let d = C.computeConv2DInfo(n.shape, s.shape, a, m, i, u, true), { filterHeight: f, filterWidth: h, dilationHeight: g, dilationWidth: x, padInfo: b } = d, w = b.left, S = b.top, k = d.outChannels / d.inChannels, _ = new tt(d.outShape, n.dtype), E = t10.data.get(n.dataId).values, R = t10.data.get(s.dataId).values, D = _.values; + for (let F = 0; F < d.batchSize; ++F) { + let O = F * c[0], M = F * _.strides[0]; for (let L = 0; L < d.outHeight; ++L) { - let V = M + L * _.strides[1], z = L * d.strideHeight - w; + let B = M + L * _.strides[1], z = L * d.strideHeight - S; for (let U = 0; U < f; ++U) { - let K = z + U * g; - if (K < 0 || K >= d.inHeight) + let j = z + U * g; + if (j < 0 || j >= d.inHeight) continue; - let H = U * l[0], q = P + K * c[1]; - for (let Z = 0; Z < d.outWidth; ++Z) { - let ee = V + Z * _.strides[2], oe = Z * d.strideWidth - C; - for (let J = 0; J < h; ++J) { - let te = oe + J * x; - if (te < 0 || te >= d.inWidth) + let H = U * l[0], X = O + j * c[1]; + for (let J = 0; J < d.outWidth; ++J) { + let re = B + J * _.strides[2], ne = J * d.strideWidth - w; + for (let ee = 0; ee < h; ++ee) { + let oe = ne + ee * x; + if (oe < 0 || oe >= d.inWidth) continue; - let ie = H + J * l[1], ce = q + te * d.inChannels, ye = ee, Ne = ie; - for (let Ie = 0; Ie < d.inChannels; ++Ie) { - let Ae = E[ce + Ie]; - for (let Re = 0; Re < k; ++Re) - R[ye + Re] += Ae * A[Ne + Re]; - ye += k, Ne += k; + let ie = H + ee * l[1], le = X + oe * d.inChannels, ye = re, _e = ie; + for (let ve = 0; ve < d.inChannels; ++ve) { + let Fe = E[le + ve]; + for (let Pe = 0; Pe < k; ++Pe) + D[ye + Pe] += Fe * R[_e + Pe]; + ye += k, _e += k; } } } @@ -13599,282 +13965,282 @@ function LS(r) { } return t10.makeTensorInfo(_.shape, _.dtype, _.values); } -var O2 = { kernelName: Qo, backendName: "cpu", kernelFunc: LS }; -function qj(r) { +var s$ = { kernelName: ln, backendName: "cpu", kernelFunc: rI }; +function iY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, filterShape: c } = o; - j([n, s], "depthwiseConv2dNativeBackpropFilter"); - let l = S.computeConv2DInfo(n.shape, c, a, i, p, u, true), { strideHeight: m, strideWidth: d, filterHeight: f, filterWidth: h } = l, g = new st(l.filterShape, "float32"), x = l.padInfo.left, b = l.padInfo.top, C = l.outChannels / l.inChannels, w = t10.data.get(n.dataId).values, k = new st(n.shape, n.dtype, w), _ = t10.data.get(s.dataId).values, E = new st(s.shape, s.dtype, _); - for (let A = 0; A < f; ++A) { - let R = Math.max(0, Math.ceil((b - A) / m)), D = Math.min(l.outHeight, (l.inHeight + b - A) / m); - for (let P = 0; P < h; ++P) { - let M = Math.max(0, Math.ceil((x - P) / d)), L = Math.min(l.outWidth, (l.inWidth + x - P) / d); - for (let V = 0; V < l.outChannels; ++V) { - let z = Math.trunc(V / C), U = V % C, K = 0; + Y([n, s], "depthwiseConv2dNativeBackpropFilter"); + let l = C.computeConv2DInfo(n.shape, c, a, i, p, u, true), { strideHeight: m, strideWidth: d, filterHeight: f, filterWidth: h } = l, g = new tt(l.filterShape, "float32"), x = l.padInfo.left, b = l.padInfo.top, w = l.outChannels / l.inChannels, S = t10.data.get(n.dataId).values, k = new tt(n.shape, n.dtype, S), _ = t10.data.get(s.dataId).values, E = new tt(s.shape, s.dtype, _); + for (let R = 0; R < f; ++R) { + let D = Math.max(0, Math.ceil((b - R) / m)), F = Math.min(l.outHeight, (l.inHeight + b - R) / m); + for (let O = 0; O < h; ++O) { + let M = Math.max(0, Math.ceil((x - O) / d)), L = Math.min(l.outWidth, (l.inWidth + x - O) / d); + for (let B = 0; B < l.outChannels; ++B) { + let z = Math.trunc(B / w), U = B % w, j = 0; for (let H = 0; H < l.batchSize; ++H) - for (let q = R; q < D; ++q) { - let Z = A + q * m - b; - for (let ee = M; ee < L; ++ee) { - let oe = P + ee * d - x; - K += k.get(H, Z, oe, z) * E.get(H, q, ee, V); + for (let X = D; X < F; ++X) { + let J = R + X * m - b; + for (let re = M; re < L; ++re) { + let ne = O + re * d - x; + j += k.get(H, J, ne, z) * E.get(H, X, re, B); } } - g.set(K, A, P, z, U); + g.set(j, R, O, z, U); } } } return t10.makeTensorInfo(g.shape, g.dtype, g.values); } -var P2 = { kernelName: yp, backendName: "cpu", kernelFunc: qj }; -function jj(r) { +var a$ = { kernelName: Ei, backendName: "cpu", kernelFunc: iY }; +function uY(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, inputShape: c } = o; - j([n, s], "depthwiseConv2DNativeBackpropInput"); - let l = y.computeStrides(n.shape), m = y.computeStrides(s.shape), d = S.computeConv2DInfo(c, s.shape, a, i, p, u, true), f = new st(d.inShape, "float32"), h = f.values, [g, x, b] = f.strides, C = t10.data.get(n.dataId).values, [w, k, _] = l, E = t10.data.get(s.dataId).values, [A, R, D] = m, { batchSize: P, filterHeight: M, filterWidth: L, inChannels: V, inHeight: z, inWidth: U, outChannels: K, outHeight: H, outWidth: q, strideHeight: Z, strideWidth: ee } = d, oe = M - 1 - d.padInfo.top, J = L - 1 - d.padInfo.left, te = K / V; - for (let ie = 0; ie < P; ++ie) - for (let ce = 0; ce < V; ++ce) + Y([n, s], "depthwiseConv2DNativeBackpropInput"); + let l = y.computeStrides(n.shape), m = y.computeStrides(s.shape), d = C.computeConv2DInfo(c, s.shape, a, i, p, u, true), f = new tt(d.inShape, "float32"), h = f.values, [g, x, b] = f.strides, w = t10.data.get(n.dataId).values, [S, k, _] = l, E = t10.data.get(s.dataId).values, [R, D, F] = m, { batchSize: O, filterHeight: M, filterWidth: L, inChannels: B, inHeight: z, inWidth: U, outChannels: j, outHeight: H, outWidth: X, strideHeight: J, strideWidth: re } = d, ne = M - 1 - d.padInfo.top, ee = L - 1 - d.padInfo.left, oe = j / B; + for (let ie = 0; ie < O; ++ie) + for (let le = 0; le < B; ++le) for (let ye = 0; ye < z; ++ye) { - let Ne = ye - oe, Ie = Math.max(0, Math.ceil(Ne / Z)), Ae = Math.min(H, (M + Ne) / Z); - for (let Re = 0; Re < U; ++Re) { - let ot = Re - J, pt = Math.max(0, Math.ceil(ot / ee)), ze = Math.min(q, (L + ot) / ee), ct = 0; - for (let at = Ie; at < Ae; ++at) { - let ft = at * Z - Ne; - for (let ht = pt; ht < ze; ++ht) { - let Rr = ht * ee - ot, Pt = w * ie + k * at + _ * ht, qr = A * (M - 1 - ft) + R * (L - 1 - Rr) + D * ce; - for (let er = 0; er < te; ++er) { - let Nt = ce * te + er, tr = C[Pt + Nt], rr = E[qr + er]; - ct += tr * rr; + let _e = ye - ne, ve = Math.max(0, Math.ceil(_e / J)), Fe = Math.min(H, (M + _e) / J); + for (let Pe = 0; Pe < U; ++Pe) { + let st = Pe - ee, lt = Math.max(0, Math.ceil(st / re)), We = Math.min(X, (L + st) / re), mt = 0; + for (let it = ve; it < Fe; ++it) { + let ht = it * J - _e; + for (let gt = lt; gt < We; ++gt) { + let Or = gt * re - st, Mt = S * ie + k * it + _ * gt, Qr = R * (M - 1 - ht) + D * (L - 1 - Or) + F * le; + for (let or = 0; or < oe; ++or) { + let Tt = le * oe + or, nr = w[Mt + Tt], sr = E[Qr + or]; + mt += nr * sr; } } } - h[g * ie + x * ye + b * Re + ce] = ct; + h[g * ie + x * ye + b * Pe + le] = mt; } } return t10.makeTensorInfo(f.shape, f.dtype, f.values); } -var M2 = { kernelName: bp, backendName: "cpu", kernelFunc: jj }; -function Xj(r) { - let { inputs: e, backend: t10 } = r, { x: o } = e, n = y.sizeFromShape(o.shape), s = t10.data.get(o.dataId).values, a = le([n, n], o.dtype), i = a.values; +var i$ = { kernelName: Ri, backendName: "cpu", kernelFunc: uY }; +function pY(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = y.sizeFromShape(o.shape), s = t10.data.get(o.dataId).values, a = me([n, n], o.dtype), i = a.values; for (let u = 0; u < s.length; u++) i[u * n + u] = s[u]; let p = [...o.shape, ...o.shape]; return t10.makeTensorInfo(p, a.dtype, a.values); } -var L2 = { kernelName: si, backendName: "cpu", kernelFunc: Xj }; -var B2 = { kernelName: ai, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { - let { x: o, filter: n } = r, { strides: s, pad: a, dilations: i } = t10, p = e, u = p.data.get(o.dataId).values, c = o.shape.length, l = p.data.get(n.dataId).values, m = n.shape.length, { batchSize: d, inHeight: f, inWidth: h, inChannels: g, outHeight: x, outWidth: b, padInfo: C, strideHeight: w, strideWidth: k, filterHeight: _, filterWidth: E, dilationHeight: A, dilationWidth: R, outShape: D } = S.computeDilation2DInfo(o.shape, n.shape, s, a, "NHWC", i), P = y.sizeFromShape(D), M = D.length, L = y.getArrayFromDType(o.dtype, P); +var u$ = { kernelName: Zs, backendName: "cpu", kernelFunc: pY }; +var p$ = { kernelName: mn, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { + let { x: o, filter: n } = r, { strides: s, pad: a, dilations: i } = t10, p = e, u = p.data.get(o.dataId).values, c = o.shape.length, l = p.data.get(n.dataId).values, m = n.shape.length, { batchSize: d, inHeight: f, inWidth: h, inChannels: g, outHeight: x, outWidth: b, padInfo: w, strideHeight: S, strideWidth: k, filterHeight: _, filterWidth: E, dilationHeight: R, dilationWidth: D, outShape: F } = C.computeDilation2DInfo(o.shape, n.shape, s, a, "NHWC", i), O = y.sizeFromShape(F), M = F.length, L = y.getArrayFromDType(o.dtype, O); for (let z = 0; z < d; ++z) for (let U = 0; U < x; ++U) { - let K = U * w - C.top; + let j = U * S - w.top; for (let H = 0; H < b; ++H) { - let q = H * k - C.left; - for (let Z = 0; Z < g; ++Z) { - let ee = Number.MIN_SAFE_INTEGER; - for (let J = 0; J < _; ++J) { - let te = K + J * A; - if (te >= 0 && te < f) + let X = H * k - w.left; + for (let J = 0; J < g; ++J) { + let re = Number.MIN_SAFE_INTEGER; + for (let ee = 0; ee < _; ++ee) { + let oe = j + ee * R; + if (oe >= 0 && oe < f) for (let ie = 0; ie < E; ++ie) { - let ce = q + ie * R; - if (ce >= 0 && ce < h) { - let ye = y.locToIndex([z, te, ce, Z], c, y.computeStrides(o.shape)), Ne = y.locToIndex([J, ie, Z], m, y.computeStrides(n.shape)), Ie = u[ye] + l[Ne]; - Ie > ee && (ee = Ie); + let le = X + ie * D; + if (le >= 0 && le < h) { + let ye = y.locToIndex([z, oe, le, J], c, y.computeStrides(o.shape)), _e = y.locToIndex([ee, ie, J], m, y.computeStrides(n.shape)), ve = u[ye] + l[_e]; + ve > re && (re = ve); } } } - let oe = y.locToIndex([z, U, H, Z], M, y.computeStrides(D)); - L[oe] = ee; + let ne = y.locToIndex([z, U, H, J], M, y.computeStrides(F)); + L[ne] = re; } } } - return { dataId: p.write(y.toTypedArray(L, o.dtype), D, o.dtype), shape: D, dtype: o.dtype }; + return { dataId: p.write(y.toTypedArray(L, o.dtype), F, o.dtype), shape: F, dtype: o.dtype }; } }; -var V2 = { kernelName: $b, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { - let { x: o, filter: n, dy: s } = r, { strides: a, pad: i, dilations: p } = t10, u = e, c = y.toNestedArray(o.shape, u.data.get(o.dataId).values), l = y.toNestedArray(n.shape, u.data.get(n.dataId).values), { batchSize: m, inHeight: d, inWidth: f, inChannels: h, outHeight: g, outWidth: x, padInfo: b, strideHeight: C, strideWidth: w, filterHeight: k, filterWidth: _, dilationHeight: E, dilationWidth: A, outShape: R } = S.computeDilation2DInfo(o.shape, n.shape, a, i, "NHWC", p); - y.assert(s.rank === R.length, () => `Error in ${$b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`); - let D = y.toNestedArray(R, u.data.get(s.dataId).values), P = y.makeZerosNestedTypedArray(n.shape, n.dtype); +var c$ = { kernelName: Ai, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { + let { x: o, filter: n, dy: s } = r, { strides: a, pad: i, dilations: p } = t10, u = e, c = y.toNestedArray(o.shape, u.data.get(o.dataId).values), l = y.toNestedArray(n.shape, u.data.get(n.dataId).values), { batchSize: m, inHeight: d, inWidth: f, inChannels: h, outHeight: g, outWidth: x, padInfo: b, strideHeight: w, strideWidth: S, filterHeight: k, filterWidth: _, dilationHeight: E, dilationWidth: R, outShape: D } = C.computeDilation2DInfo(o.shape, n.shape, a, i, "NHWC", p); + y.assert(s.rank === D.length, () => `Error in ${Ai}, dy must have the same rank as output ${D.length}, but got ${s.rank}`); + let F = y.toNestedArray(D, u.data.get(s.dataId).values), O = y.makeZerosNestedTypedArray(n.shape, n.dtype); for (let L = 0; L < m; ++L) - for (let V = 0; V < g; ++V) { - let z = V * C - b.top; + for (let B = 0; B < g; ++B) { + let z = B * w - b.top; for (let U = 0; U < x; ++U) { - let K = U * w - b.left; + let j = U * S - b.left; for (let H = 0; H < h; ++H) { - let q = Number.MIN_SAFE_INTEGER, Z = 0, ee = 0; - for (let oe = 0; oe < k; ++oe) { - let J = z + oe * E; - if (J >= 0 && J < d) - for (let te = 0; te < _; ++te) { - let ie = K + te * A; + let X = Number.MIN_SAFE_INTEGER, J = 0, re = 0; + for (let ne = 0; ne < k; ++ne) { + let ee = z + ne * E; + if (ee >= 0 && ee < d) + for (let oe = 0; oe < _; ++oe) { + let ie = j + oe * R; if (ie >= 0 && ie < f) { - let ce = c[L][J][ie][H] + l[oe][te][H]; - ce > q && (q = ce, Z = oe, ee = te); + let le = c[L][ee][ie][H] + l[ne][oe][H]; + le > X && (X = le, J = ne, re = oe); } } } - P[Z][ee][H] += D[L][V][U][H]; + O[J][re][H] += F[L][B][U][H]; } } } - return { dataId: u.write(y.toTypedArray(P, o.dtype), n.shape, n.dtype), shape: n.shape, dtype: n.dtype }; + return { dataId: u.write(y.toTypedArray(O, o.dtype), n.shape, n.dtype), shape: n.shape, dtype: n.dtype }; } }; -var z2 = { kernelName: _b, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { - let { x: o, filter: n, dy: s } = r, { strides: a, pad: i, dilations: p } = t10, u = e, c = y.toNestedArray(o.shape, u.data.get(o.dataId).values), l = y.toNestedArray(n.shape, u.data.get(n.dataId).values), { batchSize: m, inHeight: d, inWidth: f, inChannels: h, outHeight: g, outWidth: x, padInfo: b, strideHeight: C, strideWidth: w, filterHeight: k, filterWidth: _, dilationHeight: E, dilationWidth: A, outShape: R } = S.computeDilation2DInfo(o.shape, n.shape, a, i, "NHWC", p); - y.assert(s.rank === R.length, () => `Error in ${_b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`); - let D = y.toNestedArray(R, u.data.get(s.dataId).values), P = y.makeZerosNestedTypedArray(o.shape, o.dtype); +var l$ = { kernelName: Di, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e, attrs: t10 }) => { + let { x: o, filter: n, dy: s } = r, { strides: a, pad: i, dilations: p } = t10, u = e, c = y.toNestedArray(o.shape, u.data.get(o.dataId).values), l = y.toNestedArray(n.shape, u.data.get(n.dataId).values), { batchSize: m, inHeight: d, inWidth: f, inChannels: h, outHeight: g, outWidth: x, padInfo: b, strideHeight: w, strideWidth: S, filterHeight: k, filterWidth: _, dilationHeight: E, dilationWidth: R, outShape: D } = C.computeDilation2DInfo(o.shape, n.shape, a, i, "NHWC", p); + y.assert(s.rank === D.length, () => `Error in ${Di}, dy must have the same rank as output ${D.length}, but got ${s.rank}`); + let F = y.toNestedArray(D, u.data.get(s.dataId).values), O = y.makeZerosNestedTypedArray(o.shape, o.dtype); for (let L = 0; L < m; ++L) - for (let V = 0; V < g; ++V) { - let z = V * C - b.top; + for (let B = 0; B < g; ++B) { + let z = B * w - b.top; for (let U = 0; U < x; ++U) { - let K = U * w - b.left; + let j = U * S - b.left; for (let H = 0; H < h; ++H) { - let q = Number.MIN_SAFE_INTEGER, Z = z < 0 ? 0 : z, ee = K < 0 ? 0 : K; - for (let oe = 0; oe < k; ++oe) { - let J = z + oe * E; - if (J >= 0 && J < d) - for (let te = 0; te < _; ++te) { - let ie = K + te * A; + let X = Number.MIN_SAFE_INTEGER, J = z < 0 ? 0 : z, re = j < 0 ? 0 : j; + for (let ne = 0; ne < k; ++ne) { + let ee = z + ne * E; + if (ee >= 0 && ee < d) + for (let oe = 0; oe < _; ++oe) { + let ie = j + oe * R; if (ie >= 0 && ie < f) { - let ce = c[L][J][ie][H] + l[oe][te][H]; - ce > q && (q = ce, Z = J, ee = ie); + let le = c[L][ee][ie][H] + l[ne][oe][H]; + le > X && (X = le, J = ee, re = ie); } } } - P[L][Z][ee][H] += D[L][V][U][H]; + O[L][J][re][H] += F[L][B][U][H]; } } } - return { dataId: u.write(y.toTypedArray(P, o.dtype), o.shape, o.dtype), shape: o.shape, dtype: o.dtype }; + return { dataId: u.write(y.toTypedArray(O, o.dtype), o.shape, o.dtype), shape: o.shape, dtype: o.dtype }; } }; -function za(r) { +function li(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - j(n, "sum"); + Y(n, "sum"); let i; - n.dtype === "bool" ? i = vo({ inputs: { x: n }, backend: t10, attrs: { dtype: "int32" } }) : i = ir({ inputs: { x: n }, backend: t10 }); - let p = i.shape.length, u = y.parseAxisParam(s, i.shape), c = S.getAxesPermutation(u, p), l = u, m = i; - c != null && (m = St({ inputs: { x: i }, backend: t10, attrs: { perm: c } }), l = S.getInnerMostAxes(l.length, p)), S.assertAxesAreInnerMostDims("sum", l, m.shape.length); - let [d, f] = S.computeOutAndReduceShapes(m.shape, l), h = S.upcastType(m.dtype, "int32"), g = Kp(t10, d, h), x = y.sizeFromShape(f), b = t10.data.get(g.dataId).values, C = t10.data.get(m.dataId).values; - for (let w = 0; w < b.length; ++w) { - let k = w * x, _ = 0; + n.dtype === "bool" ? i = _o({ inputs: { x: n }, backend: t10, attrs: { dtype: "int32" } }) : i = lr({ inputs: { x: n }, backend: t10 }); + let p = i.shape.length, u = y.parseAxisParam(s, i.shape), c = C.getAxesPermutation(u, p), l = u, m = i; + c != null && (m = St({ inputs: { x: i }, backend: t10, attrs: { perm: c } }), l = C.getInnerMostAxes(l.length, p)), C.assertAxesAreInnerMostDims("sum", l, m.shape.length); + let [d, f] = C.computeOutAndReduceShapes(m.shape, l), h = C.upcastType(m.dtype, "int32"), g = gc(t10, d, h), x = y.sizeFromShape(f), b = t10.data.get(g.dataId).values, w = t10.data.get(m.dataId).values; + for (let S = 0; S < b.length; ++S) { + let k = S * x, _ = 0; for (let E = 0; E < x; ++E) - _ += C[k + E]; - b[w] = _; + _ += w[k + E]; + b[S] = _; } if (a) { - let w = S.expandShapeToKeepDim(g.shape, u), k = g; - g = Le({ inputs: { x: g }, backend: t10, attrs: { shape: w } }), t10.disposeIntermediateTensorInfo(k); + let S = C.expandShapeToKeepDim(g.shape, u), k = g; + g = Ve({ inputs: { x: g }, backend: t10, attrs: { shape: S } }), t10.disposeIntermediateTensorInfo(k); } return t10.disposeIntermediateTensorInfo(i), c != null && t10.disposeIntermediateTensorInfo(m), g; } -var W2 = { kernelName: Kn, backendName: "cpu", kernelFunc: za }; -function Yj(r) { - let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = S.decodeEinsumEquation(n, s.length); - S.checkEinsumDimSizes(a.length, p, s); - let { path: u, steps: c } = S.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; +var m$ = { kernelName: ys, backendName: "cpu", kernelFunc: li }; +function cY(r) { + let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = C.decodeEinsumEquation(n, s.length); + C.checkEinsumDimSizes(a.length, p, s); + let { path: u, steps: c } = C.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; for (let h = 0; h < l; ++h) { for (let g of c[h]) { - let { permutationIndices: x, expandDims: b } = S.getEinsumPermutation(d, p[g]), C; - S.isIdentityPermutation(x) ? C = s[g] : (C = St({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(C)); - let w = C.shape.slice(); + let { permutationIndices: x, expandDims: b } = C.getEinsumPermutation(d, p[g]), w; + C.isIdentityPermutation(x) ? w = s[g] : (w = St({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(w)); + let S = w.shape.slice(); for (let k = 0; k < b.length; ++k) - w.splice(b[k], 0, 1); - y.arraysEqual(C.shape, w) || (C = Le({ inputs: { x: C }, backend: t10, attrs: { shape: w } }), f.push(C)), m === null ? m = C : (m = Tu({ inputs: { a: C, b: m }, backend: t10 }), f.push(m)); + S.splice(b[k], 0, 1); + y.arraysEqual(w.shape, S) || (w = Ve({ inputs: { x: w }, backend: t10, attrs: { shape: S } }), f.push(w)), m === null ? m = w : (m = sp({ inputs: { a: w, b: m }, backend: t10 }), f.push(m)); } - h < l - 1 && (u[h] >= 0 && (m = za({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); + h < l - 1 && (u[h] >= 0 && (m = li({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); } for (let h of f) h !== m && t10.disposeIntermediateTensorInfo(h); return m; } -var U2 = { kernelName: ii, backendName: "cpu", kernelFunc: Yj }; -function Qj(r) { +var d$ = { kernelName: Fi, backendName: "cpu", kernelFunc: cY }; +function lY(r) { let { inputs: e, backend: t10 } = r, { dy: o, y: n } = e; - j([o, n], "eluGrad"); + Y([o, n], "eluGrad"); let s = new Float32Array(y.sizeFromShape(n.shape)), a = t10.data.get(n.dataId).values, i = t10.data.get(o.dataId).values; for (let p = 0; p < a.length; ++p) { let u = a[p]; - u >= 1 ? s[p] = i[p] : s[p] = i[p] * (u + 1); + u >= 0 ? s[p] = i[p] : s[p] = i[p] * (u + 1); } return t10.makeTensorInfo(n.shape, "float32", s); } -var G2 = { kernelName: Nm, backendName: "cpu", kernelFunc: Qj }; -var Zj = S.ERF_P; -var Jj = S.ERF_A1; -var eX = S.ERF_A2; -var tX = S.ERF_A3; -var rX = S.ERF_A4; -var oX = S.ERF_A5; -var nX = we(da, (r) => { - let e = Math.sign(r), t10 = Math.abs(r), o = 1 / (1 + Zj * t10); - return e * (1 - ((((oX * o + rX) * o + tX) * o + eX) * o + Jj) * o * Math.exp(-t10 * t10)); +var f$ = { kernelName: Va, backendName: "cpu", kernelFunc: lY }; +var mY = C.ERF_P; +var dY = C.ERF_A1; +var fY = C.ERF_A2; +var hY = C.ERF_A3; +var gY = C.ERF_A4; +var xY = C.ERF_A5; +var yY = Ie(Wa, (r) => { + let e = Math.sign(r), t10 = Math.abs(r), o = 1 / (1 + mY * t10); + return e * (1 - ((((xY * o + gY) * o + hY) * o + fY) * o + dY) * o * Math.exp(-t10 * t10)); }); -var H2 = { kernelName: da, backendName: "cpu", kernelFunc: nX }; -function ec(r) { +var h$ = { kernelName: Wa, backendName: "cpu", kernelFunc: yY }; +function vc(r) { let { inputs: e, backend: t10, attrs: o } = r, { input: n } = e, { dim: s } = o, a = n.shape.length, i = n.shape.slice(), p = s; - return s < 0 && (y.assert(-(a + 1) <= s, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + s + 1), i.splice(p, 0, 1), Le({ inputs: { x: n }, backend: t10, attrs: { shape: i } }); + return s < 0 && (y.assert(-(a + 1) <= s, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + s + 1), i.splice(p, 0, 1), Ve({ inputs: { x: n }, backend: t10, attrs: { shape: i } }); } -var K2 = { kernelName: Ss, backendName: "cpu", kernelFunc: ec }; -var sX = Be((r, e) => r / e); -var yl = Qe(Zo, sX); -var bl = { kernelName: Zo, backendName: "cpu", kernelFunc: yl }; -function vf(r, e, t10) { +var g$ = { kernelName: Js, backendName: "cpu", kernelFunc: vc }; +var bY = ze((r, e) => r / e); +var zl = je(dn, bY); +var Vl = { kernelName: dn, backendName: "cpu", kernelFunc: zl }; +function Lf(r, e, t10) { let o = r.shape, n = o[0], s = o[1], a = t10.data.get(r.dataId), i = a.complexTensorInfos.real, p = a.complexTensorInfos.imag, u = [n, s], c = y.sizeFromShape(u), l = y.getTypedArrayFromDType("float32", c), m = y.getTypedArrayFromDType("float32", c); for (let g = 0; g < n; g++) { - let x = To({ inputs: { x: i }, backend: t10, attrs: { begin: [g, 0], size: [1, s] } }), b = To({ inputs: { x: p }, backend: t10, attrs: { begin: [g, 0], size: [1, s] } }), C = Ht({ inputs: { real: x, imag: b }, backend: t10 }), { real: w, imag: k } = aX(C, e, t10), _ = S.mergeRealAndImagArrays(w, k); + let x = Eo({ inputs: { x: i }, backend: t10, attrs: { begin: [g, 0], size: [1, s] } }), b = Eo({ inputs: { x: p }, backend: t10, attrs: { begin: [g, 0], size: [1, s] } }), w = Kt({ inputs: { real: x, imag: b }, backend: t10 }), { real: S, imag: k } = CY(w, e, t10), _ = C.mergeRealAndImagArrays(S, k); for (let E = 0; E < s; E++) { - let A = S.getComplexWithIndex(_, E); - l[g * s + E] = A.real, m[g * s + E] = A.imag; + let R = C.getComplexWithIndex(_, E); + l[g * s + E] = R.real, m[g * s + E] = R.imag; } - t10.disposeIntermediateTensorInfo(x), t10.disposeIntermediateTensorInfo(b), t10.disposeIntermediateTensorInfo(C); + t10.disposeIntermediateTensorInfo(x), t10.disposeIntermediateTensorInfo(b), t10.disposeIntermediateTensorInfo(w); } - let d = t10.makeTensorInfo(u, "float32", l), f = t10.makeTensorInfo(u, "float32", m), h = Ht({ inputs: { real: d, imag: f }, backend: t10 }); + let d = t10.makeTensorInfo(u, "float32", l), f = t10.makeTensorInfo(u, "float32", m), h = Kt({ inputs: { real: d, imag: f }, backend: t10 }); return t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), h; } -function aX(r, e, t10) { +function CY(r, e, t10) { let o = y.sizeFromShape(r.shape), n = t10.data.get(r.dataId), s = t10.data.get(n.complexTensorInfos.real.dataId).values, a = t10.data.get(n.complexTensorInfos.imag.dataId).values; - if (iX(o)) { - let i = BS(s, a, o, e, t10), p = [r.shape[0], r.shape[1]]; + if (wY(o)) { + let i = oI(s, a, o, e, t10), p = [r.shape[0], r.shape[1]]; if (e) { - let u = t10.makeTensorInfo(p, "float32", i.real), c = t10.makeTensorInfo(p, "float32", i.imag), l = t10.makeTensorInfo([], "float32", y.createScalarValue(o, "float32")), m = ir({ inputs: { x: l }, backend: t10 }), d = bl.kernelFunc({ inputs: { a: u, b: l }, backend: t10 }), f = bl.kernelFunc({ inputs: { a: c, b: m }, backend: t10 }), h = t10.data.get(d.dataId).values, g = t10.data.get(f.dataId).values; + let u = t10.makeTensorInfo(p, "float32", i.real), c = t10.makeTensorInfo(p, "float32", i.imag), l = t10.makeTensorInfo([], "float32", y.createScalarValue(o, "float32")), m = lr({ inputs: { x: l }, backend: t10 }), d = Vl.kernelFunc({ inputs: { a: u, b: l }, backend: t10 }), f = Vl.kernelFunc({ inputs: { a: c, b: m }, backend: t10 }), h = t10.data.get(d.dataId).values, g = t10.data.get(f.dataId).values; return t10.disposeIntermediateTensorInfo(u), t10.disposeIntermediateTensorInfo(c), t10.disposeIntermediateTensorInfo(l), t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), { real: h, imag: g }; } return i; } else { - let i = S.mergeRealAndImagArrays(s, a), p = uX(i, o, e); - return S.splitRealAndImagArrays(p); + let i = C.mergeRealAndImagArrays(s, a), p = SY(i, o, e); + return C.splitRealAndImagArrays(p); } } -function iX(r) { +function wY(r) { return (r & r - 1) === 0; } -function BS(r, e, t10, o, n) { +function oI(r, e, t10, o, n) { if (t10 === 1) return { real: r, imag: e }; - let s = S.mergeRealAndImagArrays(r, e), a = t10 / 2, i = S.complexWithEvenIndex(s), p = i.real, u = i.imag, c = [p.length], l = n.makeTensorInfo(c, "float32", p), m = n.makeTensorInfo(c, "float32", u), d = Ht({ inputs: { real: l, imag: m }, backend: n }), f = S.complexWithOddIndex(s), h = f.real, g = f.imag, x = [h.length], b = n.makeTensorInfo(x, "float32", h), C = n.makeTensorInfo(x, "float32", g), w = Ht({ inputs: { real: b, imag: C }, backend: n }), k = BS(p, u, a, o, n), _ = k.real, E = k.imag, A = [_.length], R = n.makeTensorInfo(A, "float32", _), D = n.makeTensorInfo(A, "float32", E), P = Ht({ inputs: { real: R, imag: D }, backend: n }), M = BS(h, g, a, o, n), L = M.real, V = M.imag, z = [L.length], U = n.makeTensorInfo(z, "float32", L), K = n.makeTensorInfo(z, "float32", V), H = Ht({ inputs: { real: U, imag: K }, backend: n }), q = S.exponents(t10, o), Z = [q.real.length], ee = n.makeTensorInfo(Z, "float32", q.real), oe = n.makeTensorInfo(Z, "float32", q.imag), J = Ht({ inputs: { real: ee, imag: oe }, backend: n }), te = Tu({ inputs: { a: J, b: H }, backend: n }), ie = Xs({ inputs: { a: P, b: te }, backend: n }), ce = gl({ inputs: { a: P, b: te }, backend: n }), ye = Io({ inputs: { input: ie }, backend: n }), Ne = Io({ inputs: { input: ce }, backend: n }), Ie = Ys({ inputs: { input: ie }, backend: n }), Ae = Ys({ inputs: { input: ce }, backend: n }), Re = Mi({ inputs: [ye, Ne], backend: n, attrs: { axis: 0 } }), ot = Mi({ inputs: [Ie, Ae], backend: n, attrs: { axis: 0 } }), pt = n.data.get(Re.dataId).values, ze = n.data.get(ot.dataId).values; - return n.disposeIntermediateTensorInfo(l), n.disposeIntermediateTensorInfo(m), n.disposeIntermediateTensorInfo(d), n.disposeIntermediateTensorInfo(b), n.disposeIntermediateTensorInfo(C), n.disposeIntermediateTensorInfo(w), n.disposeIntermediateTensorInfo(R), n.disposeIntermediateTensorInfo(D), n.disposeIntermediateTensorInfo(P), n.disposeIntermediateTensorInfo(U), n.disposeIntermediateTensorInfo(K), n.disposeIntermediateTensorInfo(H), n.disposeIntermediateTensorInfo(ee), n.disposeIntermediateTensorInfo(oe), n.disposeIntermediateTensorInfo(J), n.disposeIntermediateTensorInfo(te), n.disposeIntermediateTensorInfo(ie), n.disposeIntermediateTensorInfo(ce), n.disposeIntermediateTensorInfo(ye), n.disposeIntermediateTensorInfo(Ie), n.disposeIntermediateTensorInfo(Ne), n.disposeIntermediateTensorInfo(Ae), n.disposeIntermediateTensorInfo(Re), n.disposeIntermediateTensorInfo(ot), { real: pt, imag: ze }; + let s = C.mergeRealAndImagArrays(r, e), a = t10 / 2, i = C.complexWithEvenIndex(s), p = i.real, u = i.imag, c = [p.length], l = n.makeTensorInfo(c, "float32", p), m = n.makeTensorInfo(c, "float32", u), d = Kt({ inputs: { real: l, imag: m }, backend: n }), f = C.complexWithOddIndex(s), h = f.real, g = f.imag, x = [h.length], b = n.makeTensorInfo(x, "float32", h), w = n.makeTensorInfo(x, "float32", g), S = Kt({ inputs: { real: b, imag: w }, backend: n }), k = oI(p, u, a, o, n), _ = k.real, E = k.imag, R = [_.length], D = n.makeTensorInfo(R, "float32", _), F = n.makeTensorInfo(R, "float32", E), O = Kt({ inputs: { real: D, imag: F }, backend: n }), M = oI(h, g, a, o, n), L = M.real, B = M.imag, z = [L.length], U = n.makeTensorInfo(z, "float32", L), j = n.makeTensorInfo(z, "float32", B), H = Kt({ inputs: { real: U, imag: j }, backend: n }), X = C.exponents(t10, o), J = [X.real.length], re = n.makeTensorInfo(J, "float32", X.real), ne = n.makeTensorInfo(J, "float32", X.imag), ee = Kt({ inputs: { real: re, imag: ne }, backend: n }), oe = sp({ inputs: { a: ee, b: H }, backend: n }), ie = _a({ inputs: { a: O, b: oe }, backend: n }), le = Ll({ inputs: { a: O, b: oe }, backend: n }), ye = To({ inputs: { input: ie }, backend: n }), _e = To({ inputs: { input: le }, backend: n }), ve = $a({ inputs: { input: ie }, backend: n }), Fe = $a({ inputs: { input: le }, backend: n }), Pe = mu({ inputs: [ye, _e], backend: n, attrs: { axis: 0 } }), st = mu({ inputs: [ve, Fe], backend: n, attrs: { axis: 0 } }), lt = n.data.get(Pe.dataId).values, We = n.data.get(st.dataId).values; + return n.disposeIntermediateTensorInfo(l), n.disposeIntermediateTensorInfo(m), n.disposeIntermediateTensorInfo(d), n.disposeIntermediateTensorInfo(b), n.disposeIntermediateTensorInfo(w), n.disposeIntermediateTensorInfo(S), n.disposeIntermediateTensorInfo(D), n.disposeIntermediateTensorInfo(F), n.disposeIntermediateTensorInfo(O), n.disposeIntermediateTensorInfo(U), n.disposeIntermediateTensorInfo(j), n.disposeIntermediateTensorInfo(H), n.disposeIntermediateTensorInfo(re), n.disposeIntermediateTensorInfo(ne), n.disposeIntermediateTensorInfo(ee), n.disposeIntermediateTensorInfo(oe), n.disposeIntermediateTensorInfo(ie), n.disposeIntermediateTensorInfo(le), n.disposeIntermediateTensorInfo(ye), n.disposeIntermediateTensorInfo(ve), n.disposeIntermediateTensorInfo(_e), n.disposeIntermediateTensorInfo(Fe), n.disposeIntermediateTensorInfo(Pe), n.disposeIntermediateTensorInfo(st), { real: lt, imag: We }; } -function uX(r, e, t10) { +function SY(r, e, t10) { let o = new Float32Array(e * 2); for (let n = 0; n < e; n++) { let s = 0, a = 0; for (let i = 0; i < e; i++) { - let p = S.exponent(n * i, e, t10), u = S.getComplexWithIndex(r, i); + let p = C.exponent(n * i, e, t10), u = C.getComplexWithIndex(r, i); s += u.real * p.real - u.imag * p.imag, a += u.real * p.imag + u.imag * p.real; } - t10 && (s /= e, a /= e), S.assignToTypedArray(o, s, a, n); + t10 && (s /= e, a /= e), C.assignToTypedArray(o, s, a, n); } return o; } -function pX(r) { - let { inputs: e, backend: t10 } = r, { input: o } = e, n = y.sizeFromShape(o.shape), s = o.shape[o.shape.length - 1], a = n / s, i = Le({ inputs: { x: o }, backend: t10, attrs: { shape: [a, s] } }), p = vf(i, false, t10), u = Le({ inputs: { x: p }, backend: t10, attrs: { shape: o.shape } }); +function IY(r) { + let { inputs: e, backend: t10 } = r, { input: o } = e, n = y.sizeFromShape(o.shape), s = o.shape[o.shape.length - 1], a = n / s, i = Ve({ inputs: { x: o }, backend: t10, attrs: { shape: [a, s] } }), p = Lf(i, false, t10), u = Ve({ inputs: { x: p }, backend: t10, attrs: { shape: o.shape } }); return t10.disposeIntermediateTensorInfo(i), t10.disposeIntermediateTensorInfo(p), u; } -var q2 = { kernelName: ui, backendName: "cpu", kernelFunc: pX }; -function Cl(r) { +var x$ = { kernelName: Pi, backendName: "cpu", kernelFunc: IY }; +function Wl(r) { let { backend: e, attrs: t10 } = r, { shape: o, value: n, dtype: s } = t10, a = s || y.inferDtype(n), i = y.getArrayFromDType(a, y.sizeFromShape(o)); - return cX(i, n, a), e.makeTensorInfo(o, a, i); + return vY(i, n, a), e.makeTensorInfo(o, a, i); } -var j2 = { kernelName: ws, backendName: "cpu", kernelFunc: Cl }; -function cX(r, e, t10) { +var y$ = { kernelName: ea, backendName: "cpu", kernelFunc: Wl }; +function vY(r, e, t10) { r.fill(e); } -var X2 = { kernelName: rn, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { +var b$ = { kernelName: yn, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { let { image: o } = r, n = t10, s = y.getTypedArrayFromDType(o.dtype, y.sizeFromShape(o.shape)), [a, i, p, u] = o.shape, c = n.data.get(o.dataId).values; for (let m = 0; m < a; m++) { let d = m * p * i * u; @@ -13883,116 +14249,113 @@ var X2 = { kernelName: rn, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: for (let g = 0; g < p; g++) { let x = g * u; for (let b = 0; b < u; b++) { - let C = Math.round(p - g - 1), w = d + h + x + b, k = c[w]; - if (C >= 0 && C < p) { - let _ = C * u, E = d + h + _ + b; + let w = Math.round(p - g - 1), S = d + h + x + b, k = c[S]; + if (w >= 0 && w < p) { + let _ = w * u, E = d + h + _ + b; k = c[E]; } - s[w] = k; + s[S] = k; } } } } return { dataId: n.write(s, o.shape, o.dtype), shape: o.shape, dtype: o.dtype }; } }; -var lX = Be((r, e) => Math.floor(r / e)); -var mX = Qe(nn, lX, null, "int32"); -var Y2 = { kernelName: nn, backendName: "cpu", kernelFunc: mX }; -function dX(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = MS({ inputs: { x: n, filter: s }, backend: t10, attrs: { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m } }); +function kY(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = tI({ inputs: { x: n, filter: s }, backend: t10, attrs: { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m } }); if (a) { let g = h; if (c === "NCHW" && a.shape.length === 1 && a.shape[0] !== 1) { - let x = Le({ inputs: { x: a }, backend: t10, attrs: { shape: [a.shape[0], 1, 1] } }); - h = Xs({ inputs: { a: h, b: x }, backend: t10 }), t10.disposeIntermediateTensorInfo(x); + let x = Ve({ inputs: { x: a }, backend: t10, attrs: { shape: [a.shape[0], 1, 1] } }); + h = _a({ inputs: { a: h, b: x }, backend: t10 }), t10.disposeIntermediateTensorInfo(x); } else - h = Xs({ inputs: { a: h, b: a }, backend: t10 }); + h = _a({ inputs: { a: h, b: a }, backend: t10 }); t10.disposeIntermediateTensorInfo(g); } if (d) { let g = h; if (c === "NCHW" && d === "prelu" && i.shape.length === 1 && i.shape[0] !== 1) { - let x = Le({ inputs: { x: i }, backend: t10, attrs: { shape: [i.shape[0], 1, 1] } }); - h = Du(t10, h, d, x, f), t10.disposeIntermediateTensorInfo(x); + let x = Ve({ inputs: { x: i }, backend: t10, attrs: { shape: [i.shape[0], 1, 1] } }); + h = mp(t10, h, d, x, f), t10.disposeIntermediateTensorInfo(x); } else - h = Du(t10, h, d, i, f); + h = mp(t10, h, d, i, f); t10.disposeIntermediateTensorInfo(g); } return h; } -var Q2 = { kernelName: go, backendName: "cpu", kernelFunc: dX }; -function fX(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = LS({ inputs: { x: n, filter: s }, backend: t10, attrs: { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m } }); +var C$ = { kernelName: Co, backendName: "cpu", kernelFunc: kY }; +function NY(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = rI({ inputs: { x: n, filter: s }, backend: t10, attrs: { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m } }); if (a) { let g = h; - h = Xs({ inputs: { a: h, b: a }, backend: t10 }), t10.disposeIntermediateTensorInfo(g); + h = _a({ inputs: { a: h, b: a }, backend: t10 }), t10.disposeIntermediateTensorInfo(g); } if (d) { let g = h; - h = Du(t10, h, d, i, f), t10.disposeIntermediateTensorInfo(g); + h = mp(t10, h, d, i, f), t10.disposeIntermediateTensorInfo(g); } return h; } -var Z2 = { kernelName: xo, backendName: "cpu", kernelFunc: fX }; -function hX(r) { - let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = y.sizeFromShape(o.shape), a = n.shape, i = a[a.length - 1], [p, u, c, l] = S.prepareAndValidate(o, n); +var w$ = { kernelName: wo, backendName: "cpu", kernelFunc: NY }; +function TY(r) { + let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = y.sizeFromShape(o.shape), a = n.shape, i = a[a.length - 1], [p, u, c, l] = C.prepareAndValidate(o, n); if (u === 0) return t10.makeTensorInfo(p, o.dtype, []); - let m = t10.data.get(n.dataId).values, d = t10.bufferSync(o), f = pf(m, d, o.dtype, u, i, c, l, o.shape, s); + let m = t10.data.get(n.dataId).values, d = t10.bufferSync(o), f = vf(m, d, o.dtype, u, i, c, l, o.shape, s); return t10.makeTensorInfo(p, o.dtype, f.values); } -var J2 = { kernelName: an, backendName: "cpu", kernelFunc: hX }; -function gX(r) { +var S$ = { kernelName: Sn, backendName: "cpu", kernelFunc: TY }; +function _Y(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, indices: s } = e, { axis: a, batchDims: i } = o; - j([n, s], "gatherV2"); + Y([n, s], "gatherV2"); let p = y.parseAxisParam(a, n.shape)[0], u = t10.data.get(s.dataId).values, c = n.shape[p]; - for (let w = 0; w < u.length; ++w) { - let k = u[w]; + for (let S = 0; S < u.length; ++S) { + let k = u[S]; y.assert(k <= c - 1 && k >= 0, () => `GatherV2: the index value ${k} is not in [0, ${c - 1}]`); } let l = i; i == null && (l = 0); - let m = y.sizeFromShape(s.shape), d = S.segment_util.collectGatherOpShapeInfo(n, s, p, l), f = Le({ inputs: { x: n }, backend: t10, attrs: { shape: [d.batchSize, d.outerSize, d.dimSize, d.sliceSize] } }), h = Le({ inputs: { x: s }, backend: t10, attrs: { shape: [d.batchSize, m / d.batchSize] } }), g = [d.batchSize, d.outerSize, m / d.batchSize, d.sliceSize], x = t10.bufferSync(h), b = t10.bufferSync(f), C = cf(b, x, g); - return t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(h), t10.makeTensorInfo(d.outputShape, C.dtype, C.values); + let m = y.sizeFromShape(s.shape), d = C.segment_util.collectGatherOpShapeInfo(n, s, p, l), f = Ve({ inputs: { x: n }, backend: t10, attrs: { shape: [d.batchSize, d.outerSize, d.dimSize, d.sliceSize] } }), h = Ve({ inputs: { x: s }, backend: t10, attrs: { shape: [d.batchSize, m / d.batchSize] } }), g = [d.batchSize, d.outerSize, m / d.batchSize, d.sliceSize], x = t10.bufferSync(h), b = t10.bufferSync(f), w = kf(b, x, g); + return t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(h), t10.makeTensorInfo(d.outputShape, w.dtype, w.values); } -var e_ = { kernelName: Is, backendName: "cpu", kernelFunc: gX }; -function xX(r) { - let { inputs: e, backend: t10 } = r, { input: o } = e, n = y.sizeFromShape(o.shape), s = o.shape[o.shape.length - 1], a = n / s, i = Le({ inputs: { x: o }, backend: t10, attrs: { shape: [a, s] } }), p = vf(i, true, t10), u = Le({ inputs: { x: p }, backend: t10, attrs: { shape: o.shape } }); +var I$ = { kernelName: ta, backendName: "cpu", kernelFunc: _Y }; +function $Y(r) { + let { inputs: e, backend: t10 } = r, { input: o } = e, n = y.sizeFromShape(o.shape), s = o.shape[o.shape.length - 1], a = n / s, i = Ve({ inputs: { x: o }, backend: t10, attrs: { shape: [a, s] } }), p = Lf(i, true, t10), u = Ve({ inputs: { x: p }, backend: t10, attrs: { shape: o.shape } }); return t10.disposeIntermediateTensorInfo(i), t10.disposeIntermediateTensorInfo(p), u; } -var t_ = { kernelName: pi, backendName: "cpu", kernelFunc: xX }; -var yX = we(ha, (r) => Number.isFinite(r) ? 1 : 0, "bool"); -var r_ = { kernelName: ha, backendName: "cpu", kernelFunc: yX }; -var bX = we(ga, (r) => Math.abs(r) === 1 / 0 ? 1 : 0, "bool"); -var o_ = { kernelName: ga, backendName: "cpu", kernelFunc: bX }; -var CX = we(cn, (r) => Number.isNaN(r) ? 1 : 0, "bool"); -var n_ = { kernelName: cn, backendName: "cpu", kernelFunc: CX }; -function SX(r) { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = lf(o, n, s); +var v$ = { kernelName: Oi, backendName: "cpu", kernelFunc: $Y }; +var EY = Ie(kn, (r) => Number.isFinite(r) ? 1 : 0, "bool"); +var k$ = { kernelName: kn, backendName: "cpu", kernelFunc: EY }; +var RY = Ie(Nn, (r) => Math.abs(r) === 1 / 0 ? 1 : 0, "bool"); +var N$ = { kernelName: Nn, backendName: "cpu", kernelFunc: RY }; +var DY = Ie(Tn, (r) => Number.isNaN(r) ? 1 : 0, "bool"); +var T$ = { kernelName: Tn, backendName: "cpu", kernelFunc: DY }; +function AY(r) { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = Nf(o, n, s); return e.makeTensorInfo([a.length], "float32", a); } -var s_ = { kernelName: li, backendName: "cpu", kernelFunc: SX }; -var wX = we(xa, (r) => Math.log1p(r)); -var a_ = { kernelName: xa, backendName: "cpu", kernelFunc: wX }; -var IX = Be((r, e) => r && e); -var vX = Qe(hn, IX, null, "bool"); -var i_ = { kernelName: hn, backendName: "cpu", kernelFunc: vX }; -var kX = we(gn, (r) => r ? 0 : 1, "bool"); -var u_ = { kernelName: gn, backendName: "cpu", kernelFunc: kX }; -var NX = Be((r, e) => r || e); -var TX = Qe(xn, NX, null, "bool"); -var p_ = { kernelName: xn, backendName: "cpu", kernelFunc: TX }; -function _X(r) { +var _$ = { kernelName: Rn, backendName: "cpu", kernelFunc: AY }; +var FY = Ie(An, (r) => Math.log1p(r)); +var $$ = { kernelName: An, backendName: "cpu", kernelFunc: FY }; +var PY = ze((r, e) => r && e); +var OY = je(Fn, PY, null, "bool"); +var E$ = { kernelName: Fn, backendName: "cpu", kernelFunc: OY }; +var MY = Ie(Pn, (r) => r ? 0 : 1, "bool"); +var R$ = { kernelName: Pn, backendName: "cpu", kernelFunc: MY }; +var LY = ze((r, e) => r || e); +var BY = je(On, LY, null, "bool"); +var D$ = { kernelName: On, backendName: "cpu", kernelFunc: BY }; +function zY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { depthRadius: s, bias: a, alpha: i, beta: p } = o; - j(n, "LRN"); + Y(n, "LRN"); let u = n.shape[3], c = u - 1, l = t10.data.get(n.dataId).values, m = y.sizeFromShape(n.shape), d = new Float32Array(m); function f(h) { - let g = h % u, x = h - g + Math.max(0, g - s), b = h - g + Math.min(g + s, c), C = 0; + let g = h % u, x = h - g + Math.max(0, g - s), b = h - g + Math.min(g + s, c), w = 0; for (; x <= b; x++) { - let w = l[x]; - C += w * w; + let S = l[x]; + w += S * S; } - return C; + return w; } for (let h = 0; h < m; h++) { let g = f(h), x = l[h] * Math.pow(a + i * g, -p); @@ -14000,244 +14363,244 @@ function _X(r) { } return t10.makeTensorInfo(n.shape, n.dtype, d); } -var c_ = { kernelName: mi, backendName: "cpu", kernelFunc: _X }; -function $X(r) { +var A$ = { kernelName: Mn, backendName: "cpu", kernelFunc: zY }; +function VY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, y: s, dy: a } = e, { depthRadius: i, bias: p, alpha: u, beta: c } = o; - j(a, "LRNGrad"); + Y(a, "LRNGrad"); let l = y.sizeFromShape(a.shape), m = a.shape[3], d = t10.data.get(a.dataId).values, f = t10.data.get(n.dataId).values, h = t10.data.get(s.dataId).values, g = new Float32Array(l), x = l; for (let b = 0; b < x; b++) { - let C = b % m, w = b - C + Math.max(0, C - i), k = b - C + Math.min(m, C + i + 1), _ = 0; - for (let E = w; E < k; E++) + let w = b % m, S = b - w + Math.max(0, w - i), k = b - w + Math.min(m, w + i + 1), _ = 0; + for (let E = S; E < k; E++) _ += Math.pow(f[E], 2); _ = u * _ + p; - for (let E = w; E < k; E++) { - let A = -2 * u * c * f[E] * h[b] / _; - b === E && (A += Math.pow(_, -c)), A *= d[b], g[E] += A; + for (let E = S; E < k; E++) { + let R = -2 * u * c * f[E] * h[b] / _; + b === E && (R += Math.pow(_, -c)), R *= d[b], g[E] += R; } } return t10.makeTensorInfo(a.shape, n.dtype, g); } -var l_ = { kernelName: Tm, backendName: "cpu", kernelFunc: $X }; -function VS(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reductionIndices: s, keepDims: a } = o, i = t10, p = n.shape, u = p.length, c = y.parseAxisParam(s, p), l = c, m = S.getAxesPermutation(l, u), d = i.data.get(n.dataId).values; +var F$ = { kernelName: Ua, backendName: "cpu", kernelFunc: VY }; +function nI(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reductionIndices: s, keepDims: a } = o, i = t10, p = n.shape, u = p.length, c = y.parseAxisParam(s, p), l = c, m = C.getAxesPermutation(l, u), d = i.data.get(n.dataId).values; if (m != null) { - let w = new Array(u); - for (let k = 0; k < w.length; k++) - w[k] = p[m[k]]; - d = Xp(d, p, n.dtype, m, w), l = S.getInnerMostAxes(l.length, u), p = w; + let S = new Array(u); + for (let k = 0; k < S.length; k++) + S[k] = p[m[k]]; + d = bc(d, p, n.dtype, m, S), l = C.getInnerMostAxes(l.length, u), p = S; } - j(n, "max"), S.assertAxesAreInnerMostDims("max", l, u); - let [f, h] = S.computeOutAndReduceShapes(p, l), g = y.sizeFromShape(h), x = mf(d, g, f, n.dtype), b = i.write(x, f, n.dtype), C = f; - return a && (C = S.expandShapeToKeepDim(f, c)), { dataId: b, shape: C, dtype: n.dtype }; + Y(n, "max"), C.assertAxesAreInnerMostDims("max", l, u); + let [f, h] = C.computeOutAndReduceShapes(p, l), g = y.sizeFromShape(h), x = Tf(d, g, f, n.dtype), b = i.write(x, f, n.dtype), w = f; + return a && (w = C.expandShapeToKeepDim(f, c)), { dataId: b, shape: w, dtype: n.dtype }; } -var m_ = { kernelName: yn, backendName: "cpu", kernelFunc: VS }; -function EX(r) { +var P$ = { kernelName: Ln, backendName: "cpu", kernelFunc: nI }; +function WY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e; - j(n, "maxPool"); + Y(n, "maxPool"); let { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1; - y.assert(S.eitherStridesOrDilationsAreOne(a, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); - let c = S.computePool2DInfo(n.shape, s, a, u, i, p), l; + y.assert(C.eitherStridesOrDilationsAreOne(a, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); + let c = C.computePool2DInfo(n.shape, s, a, u, i, p), l; if (c.filterWidth === 1 && c.filterHeight === 1 && y.arraysEqual(c.inShape, c.outShape)) - l = ir({ inputs: { x: n }, backend: t10 }); + l = lr({ inputs: { x: n }, backend: t10 }); else { - let m = t10.data.get(n.dataId).values, d = y.computeStrides(n.shape), f = Jp(m, n.shape, n.dtype, d, c, "max"); + let m = t10.data.get(n.dataId).values, d = y.computeStrides(n.shape), f = Ic(m, n.shape, n.dtype, d, c, "max"); l = t10.makeTensorInfo(c.outShape, n.dtype, f.values); } return l; } -var d_ = { kernelName: Cn, backendName: "cpu", kernelFunc: EX }; -function AX(r) { +var O$ = { kernelName: zn, backendName: "cpu", kernelFunc: WY }; +function UY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o; - j(n, "maxPool3d"); - let c = S.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.data.get(n.dataId).values, m = If(l, n.shape, n.dtype, y.computeStrides(n.shape), c, "max"); + Y(n, "maxPool3d"); + let c = C.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.data.get(n.dataId).values, m = Mf(l, n.shape, n.dtype, y.computeStrides(n.shape), c, "max"); return t10.makeTensorInfo(m.shape, "float32", m.values); } -var f_ = { kernelName: Cp, backendName: "cpu", kernelFunc: AX }; -function RX(r) { +var M$ = { kernelName: ra, backendName: "cpu", kernelFunc: UY }; +function GY(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = o; - j([n, s], "maxPool3DGrad"); - let c = S.computePool3DInfo(s.shape, a, i, 1, p, u), l = t10.bufferSync(s), m = p2(l, c), d = c.strideDepth, f = c.strideHeight, h = c.strideWidth, g = c.dilationDepth, x = c.dilationHeight, b = c.dilationWidth, C = c.effectiveFilterDepth, w = c.effectiveFilterHeight, k = c.effectiveFilterWidth, _ = C - 1 - c.padInfo.front, E = k - 1 - c.padInfo.left, A = w - 1 - c.padInfo.top, R = le(s.shape, "float32"), D = t10.bufferSync(n); - for (let P = 0; P < c.batchSize; ++P) + Y([n, s], "maxPool3DGrad"); + let c = C.computePool3DInfo(s.shape, a, i, 1, p, u), l = t10.bufferSync(s), m = A_(l, c), d = c.strideDepth, f = c.strideHeight, h = c.strideWidth, g = c.dilationDepth, x = c.dilationHeight, b = c.dilationWidth, w = c.effectiveFilterDepth, S = c.effectiveFilterHeight, k = c.effectiveFilterWidth, _ = w - 1 - c.padInfo.front, E = k - 1 - c.padInfo.left, R = S - 1 - c.padInfo.top, D = me(s.shape, "float32"), F = t10.bufferSync(n); + for (let O = 0; O < c.batchSize; ++O) for (let M = 0; M < c.inChannels; ++M) for (let L = 0; L < c.inDepth; ++L) - for (let V = 0; V < c.inHeight; ++V) + for (let B = 0; B < c.inHeight; ++B) for (let z = 0; z < c.inWidth; ++z) { - let U = L - _, K = V - A, H = z - E, q = 0; - for (let Z = 0; Z < C; Z += g) { - let ee = (U + Z) / d; - if (!(ee < 0 || ee >= c.outDepth || Math.floor(ee) !== ee)) - for (let oe = 0; oe < w; oe += x) { - let J = (K + oe) / f; - if (!(J < 0 || J >= c.outHeight || Math.floor(J) !== J)) - for (let te = 0; te < k; te += b) { - let ie = (H + te) / h; + let U = L - _, j = B - R, H = z - E, X = 0; + for (let J = 0; J < w; J += g) { + let re = (U + J) / d; + if (!(re < 0 || re >= c.outDepth || Math.floor(re) !== re)) + for (let ne = 0; ne < S; ne += x) { + let ee = (j + ne) / f; + if (!(ee < 0 || ee >= c.outHeight || Math.floor(ee) !== ee)) + for (let oe = 0; oe < k; oe += b) { + let ie = (H + oe) / h; if (ie < 0 || ie >= c.outWidth || Math.floor(ie) !== ie) continue; - let ce = C * w * k - 1 - m.get(P, ee, J, ie, M), ye = Z * w * k + oe * k + te, Ne = ce === ye ? 1 : 0; - if (Ne === 0) + let le = w * S * k - 1 - m.get(O, re, ee, ie, M), ye = J * S * k + ne * k + oe, _e = le === ye ? 1 : 0; + if (_e === 0) continue; - let Ie = D.get(P, ee, J, ie, M); - q += Ie * Ne; + let ve = F.get(O, re, ee, ie, M); + X += ve * _e; } } } - R.set(q, P, L, V, z, M); + D.set(X, O, L, B, z, M); } - return t10.makeTensorInfo(R.shape, R.dtype, R.values); + return t10.makeTensorInfo(D.shape, D.dtype, D.values); } -var h_ = { kernelName: $m, backendName: "cpu", kernelFunc: RX }; -function DX(r) { +var L$ = { kernelName: Li, backendName: "cpu", kernelFunc: GY }; +function HY(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s, output: a } = e, i = s; - j([s, a], "maxPoolGrad"); - let { filterSize: p, strides: u, pad: c, dimRoundingMode: l } = o, m = S.computePool2DInfo(i.shape, p, u, 1, c, l), d = t10.data.get(i.dataId).values, f = le(m.outShape, i.dtype, wf(d, i.shape, i.dtype, m).values), h = m.strideHeight, g = m.strideWidth, x = m.dilationHeight, b = m.dilationWidth, C = m.effectiveFilterHeight, w = m.effectiveFilterWidth, k = w - 1 - m.padInfo.left, _ = C - 1 - m.padInfo.top, E = le(i.shape, "float32"), A = t10.data.get(n.dataId).values, R = le(n.shape, "float32", A); - for (let D = 0; D < m.batchSize; ++D) - for (let P = 0; P < m.inChannels; ++P) + Y([s, a], "maxPoolGrad"); + let { filterSize: p, strides: u, pad: c, dimRoundingMode: l } = o, m = C.computePool2DInfo(i.shape, p, u, 1, c, l), d = t10.data.get(i.dataId).values, f = me(m.outShape, i.dtype, Of(d, i.shape, i.dtype, m).values), h = m.strideHeight, g = m.strideWidth, x = m.dilationHeight, b = m.dilationWidth, w = m.effectiveFilterHeight, S = m.effectiveFilterWidth, k = S - 1 - m.padInfo.left, _ = w - 1 - m.padInfo.top, E = me(i.shape, "float32"), R = t10.data.get(n.dataId).values, D = me(n.shape, "float32", R); + for (let F = 0; F < m.batchSize; ++F) + for (let O = 0; O < m.inChannels; ++O) for (let M = 0; M < m.inHeight; ++M) for (let L = 0; L < m.inWidth; ++L) { - let V = M - _, z = L - k, U = 0; - for (let K = 0; K < C; K += x) { - let H = (V + K) / h; + let B = M - _, z = L - k, U = 0; + for (let j = 0; j < w; j += x) { + let H = (B + j) / h; if (!(H < 0 || H >= m.outHeight || Math.floor(H) !== H)) - for (let q = 0; q < w; q += b) { - let Z = (z + q) / g; - if (Z < 0 || Z >= m.outWidth || Math.floor(Z) !== Z) + for (let X = 0; X < S; X += b) { + let J = (z + X) / g; + if (J < 0 || J >= m.outWidth || Math.floor(J) !== J) continue; - let ee = C * w - 1 - f.get(D, H, Z, P), oe = K * w + q, J = ee === oe ? 1 : 0; - if (J === 0) + let re = w * S - 1 - f.get(F, H, J, O), ne = j * S + X, ee = re === ne ? 1 : 0; + if (ee === 0) continue; - let te = R.get(D, H, Z, P); - U += te * J; + let oe = D.get(F, H, J, O); + U += oe * ee; } } - E.set(U, D, M, L, P); + E.set(U, F, M, L, O); } return t10.makeTensorInfo(E.shape, E.dtype, E.values); } -var g_ = { kernelName: _m, backendName: "cpu", kernelFunc: DX }; -function x_(r, e, t10, o, n) { - let s = y.computeStrides(e), a = Jp(r, e, t10, s, n, "max"), i = wf(r, e, t10, n, true, o); +var B$ = { kernelName: Hp, backendName: "cpu", kernelFunc: HY }; +function z$(r, e, t10, o, n) { + let s = y.computeStrides(e), a = Ic(r, e, t10, s, n, "max"), i = Of(r, e, t10, n, true, o); return [a.values, i.values]; } -var y_ = { kernelName: Sp, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { +var V$ = { kernelName: Bi, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { let { x: o } = r, { filterSize: n, strides: s, pad: a, includeBatchInIndex: i } = e, p = t10; - j(o, "MaxPoolWithArgmax"); - let u = p.data.get(o.dataId).values, c = S.computePool2DInfo(o.shape, n, s, [1, 1], a), [l, m] = x_(u, o.shape, o.dtype, i, c), d = p.write(l, c.outShape, o.dtype), f = p.write(m, c.outShape, o.dtype); + Y(o, "MaxPoolWithArgmax"); + let u = p.data.get(o.dataId).values, c = C.computePool2DInfo(o.shape, n, s, [1, 1], a), [l, m] = z$(u, o.shape, o.dtype, i, c), d = p.write(l, c.outShape, o.dtype), f = p.write(m, c.outShape, o.dtype); return [{ dataId: d, shape: c.outShape, dtype: o.dtype }, { dataId: f, shape: c.outShape, dtype: "int32" }]; } }; -function FX(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = y.parseAxisParam(s, n.shape), u = S.computeOutAndReduceShapes(n.shape, i)[1], c = y.sizeFromShape(u), l = [], m = t10.makeTensorInfo([], "float32", new Float32Array([c])); +function KY(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = y.parseAxisParam(s, n.shape), u = C.computeOutAndReduceShapes(n.shape, i)[1], c = y.sizeFromShape(u), l = [], m = t10.makeTensorInfo([], "float32", new Float32Array([c])); l.push(m); - let d = vo({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }); + let d = _o({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }); l.push(d); - let f = yl({ inputs: { a: d, b: m }, backend: t10 }); + let f = zl({ inputs: { a: d, b: m }, backend: t10 }); l.push(f); - let h = za({ inputs: { x: f }, backend: t10, attrs: { axis: s, keepDims: a } }); + let h = li({ inputs: { x: f }, backend: t10, attrs: { axis: s, keepDims: a } }); return l.forEach((g) => t10.disposeIntermediateTensorInfo(g)), h; } -var b_ = { kernelName: Sn, backendName: "cpu", kernelFunc: FX }; -function OX(r) { +var W$ = { kernelName: Vn, backendName: "cpu", kernelFunc: KY }; +function qY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - j(n, "min"); - let i = y.parseAxisParam(s, n.shape), p = i, u = S.getAxesPermutation(p, n.shape.length), c = n; - u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = S.getInnerMostAxes(p.length, n.shape.length)), S.assertAxesAreInnerMostDims("min", p, c.shape.length); - let [l, m] = S.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; + Y(n, "min"); + let i = y.parseAxisParam(s, n.shape), p = i, u = C.getAxesPermutation(p, n.shape.length), c = n; + u != null && (c = St({ inputs: { x: n }, backend: t10, attrs: { perm: u } }), p = C.getInnerMostAxes(p.length, n.shape.length)), C.assertAxesAreInnerMostDims("min", p, c.shape.length); + let [l, m] = C.computeOutAndReduceShapes(c.shape, p), d = y.sizeFromShape(m), f = y.makeZerosTypedArray(y.sizeFromShape(l), c.dtype), h = t10.data.get(c.dataId).values; for (let x = 0; x < f.length; ++x) { - let b = x * d, C = h[b]; - for (let w = 0; w < d; ++w) { - let k = h[b + w]; - (Number.isNaN(k) || k < C) && (C = k); + let b = x * d, w = h[b]; + for (let S = 0; S < d; ++S) { + let k = h[b + S]; + (Number.isNaN(k) || k < w) && (w = k); } - f[x] = C; + f[x] = w; } u != null && t10.disposeIntermediateTensorInfo(c); let g = t10.makeTensorInfo(l, c.dtype, f); if (a) { - let x = S.expandShapeToKeepDim(l, i), b = Le({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); + let x = C.expandShapeToKeepDim(l, i), b = Ve({ inputs: { x: g }, backend: t10, attrs: { shape: x } }); return t10.disposeIntermediateTensorInfo(g), b; } return g; } -var C_ = { kernelName: wn, backendName: "cpu", kernelFunc: OX }; -function PX(r) { +var U$ = { kernelName: Wn, backendName: "cpu", kernelFunc: qY }; +function jY(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { paddings: s, mode: a } = o; - j(n, "mirrorPad"); - let i = s.map((C, w) => C[0] + n.shape[w] + C[1]), p = s.map((C) => C[0]), u = s.map((C, w) => C[0] + n.shape[w]), c = a === "reflect" ? 0 : 1, l = t10.data.get(n.dataId).values, m = n.shape.length, d = y.computeStrides(n.shape), f = y.sizeFromShape(i), h = i.length, g = y.computeStrides(i), x = y.getTypedArrayFromDType(n.dtype, f); - for (let C = 0; C < f; C++) { - let w = y.indexToLoc(C, h, g); + Y(n, "mirrorPad"); + let i = s.map((w, S) => w[0] + n.shape[S] + w[1]), p = s.map((w) => w[0]), u = s.map((w, S) => w[0] + n.shape[S]), c = a === "reflect" ? 0 : 1, l = t10.data.get(n.dataId).values, m = n.shape.length, d = y.computeStrides(n.shape), f = y.sizeFromShape(i), h = i.length, g = y.computeStrides(i), x = y.getTypedArrayFromDType(n.dtype, f); + for (let w = 0; w < f; w++) { + let S = y.indexToLoc(w, h, g); for (let _ = 0; _ < h; _++) - w[_] < p[_] ? w[_] = p[_] * 2 - w[_] - c : w[_] >= u[_] && (w[_] = (u[_] - 1) * 2 - w[_] + c); - w = w.map((_, E) => _ - p[E]); - let k = y.locToIndex(w, m, d); - x[C] = l[k]; + S[_] < p[_] ? S[_] = p[_] * 2 - S[_] - c : S[_] >= u[_] && (S[_] = (u[_] - 1) * 2 - S[_] + c); + S = S.map((_, E) => _ - p[E]); + let k = y.locToIndex(S, m, d); + x[w] = l[k]; } return { dataId: t10.write(x, i, n.dtype), shape: i, dtype: n.dtype }; } -var S_ = { kernelName: vn, backendName: "cpu", kernelFunc: PX }; -var MX = Be((r, e) => { +var G$ = { kernelName: Gn, backendName: "cpu", kernelFunc: jY }; +var XY = ze((r, e) => { let t10 = r % e; return r < 0 && e < 0 || r >= 0 && e >= 0 ? t10 : (t10 + e) % e; }); -var LX = Qe(ya, MX); -var w_ = { kernelName: ya, backendName: "cpu", kernelFunc: LX }; -var v_ = ap(gC()); -function zS(r) { +var YY = je(Ga, XY); +var H$ = { kernelName: Ga, backendName: "cpu", kernelFunc: YY }; +var q$ = Bp(Rw()); +function sI(r) { let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { dim: s } = o, a = n.shape.length, i = s; if (i === -1 && (i = a - 1), i !== a - 1) throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a} and dim was ${i}`); - let p = y.parseAxisParam([i], n.shape), u = VS({ inputs: { x: n }, backend: t10, attrs: { reductionIndices: p, keepDims: false } }), c = S.expandShapeToKeepDim(u.shape, p), l = Le({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), m = gl({ inputs: { a: n, b: l }, backend: t10 }), d = dS({ inputs: { x: m }, backend: t10 }), f = za({ inputs: { x: d }, backend: t10, attrs: { axis: p, keepDims: false } }), h = Le({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = yl({ inputs: { a: d, b: h }, backend: t10 }); + let p = y.parseAxisParam([i], n.shape), u = nI({ inputs: { x: n }, backend: t10, attrs: { reductionIndices: p, keepDims: false } }), c = C.expandShapeToKeepDim(u.shape, p), l = Ve({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), m = Ll({ inputs: { a: n, b: l }, backend: t10 }), d = $S({ inputs: { x: m }, backend: t10 }), f = li({ inputs: { x: d }, backend: t10, attrs: { axis: p, keepDims: false } }), h = Ve({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = zl({ inputs: { a: d, b: h }, backend: t10 }); return t10.disposeIntermediateTensorInfo(u), t10.disposeIntermediateTensorInfo(l), t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(h), g; } -var I_ = { kernelName: qn, backendName: "cpu", kernelFunc: zS }; -function BX(r) { +var K$ = { kernelName: bs, backendName: "cpu", kernelFunc: sI }; +function QY(r) { let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { numSamples: s, seed: a, normalized: i } = o; - j(n, "multinomial"); - let p = i ? n : zS({ inputs: { logits: n }, backend: t10, attrs: { dim: -1 } }), u = p.shape[0], c = p.shape[1], l = t10.data.get(p.dataId).values, m = [u, s], d = y.makeZerosTypedArray(y.sizeFromShape(m), "int32"); + Y(n, "multinomial"); + let p = i ? n : sI({ inputs: { logits: n }, backend: t10, attrs: { dim: -1 } }), u = p.shape[0], c = p.shape[1], l = t10.data.get(p.dataId).values, m = [u, s], d = y.makeZerosTypedArray(y.sizeFromShape(m), "int32"); for (let f = 0; f < u; ++f) { let h = f * c, g = new Float32Array(c - 1); g[0] = l[h]; - for (let C = 1; C < g.length; ++C) - g[C] = g[C - 1] + l[h + C]; - let x = v_.alea(a.toString()), b = f * s; - for (let C = 0; C < s; ++C) { - let w = x(); - d[b + C] = g.length; + for (let w = 1; w < g.length; ++w) + g[w] = g[w - 1] + l[h + w]; + let x = q$.alea(a.toString()), b = f * s; + for (let w = 0; w < s; ++w) { + let S = x(); + d[b + w] = g.length; for (let k = 0; k < g.length; k++) - if (w < g[k]) { - d[b + C] = k; + if (S < g[k]) { + d[b + w] = k; break; } } } return i || t10.disposeIntermediateTensorInfo(p), t10.makeTensorInfo(m, "int32", d); } -var k_ = { kernelName: wp, backendName: "cpu", kernelFunc: BX }; -var VX = Vt.nonMaxSuppressionV3Impl; -function zX(r) { +var j$ = { kernelName: Hn, backendName: "cpu", kernelFunc: QY }; +var ZY = Wt.nonMaxSuppressionV3Impl; +function JY(r) { let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p } = o; - j(n, "NonMaxSuppression"); - let u = t10.data.get(n.dataId).values, c = t10.data.get(s.dataId).values, { selectedIndices: l } = VX(u, c, a, i, p); + Y(n, "NonMaxSuppression"); + let u = t10.data.get(n.dataId).values, c = t10.data.get(s.dataId).values, { selectedIndices: l } = ZY(u, c, a, i, p); return t10.makeTensorInfo([l.length], "int32", new Int32Array(l)); } -var N_ = { kernelName: Tn, backendName: "cpu", kernelFunc: zX }; -var WX = Vt.nonMaxSuppressionV4Impl; -function UX(r) { +var X$ = { kernelName: jn, backendName: "cpu", kernelFunc: JY }; +var eQ = Wt.nonMaxSuppressionV4Impl; +function tQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, padToMaxOutputSize: u } = o; - j(n, "NonMaxSuppressionPadded"); - let c = t10.data.get(n.dataId).values, l = t10.data.get(s.dataId).values, { selectedIndices: m, validOutputs: d } = WX(c, l, a, i, p, u); + Y(n, "NonMaxSuppressionPadded"); + let c = t10.data.get(n.dataId).values, l = t10.data.get(s.dataId).values, { selectedIndices: m, validOutputs: d } = eQ(c, l, a, i, p, u); return [t10.makeTensorInfo([m.length], "int32", new Int32Array(m)), t10.makeTensorInfo([], "int32", new Int32Array([d]))]; } -var T_ = { kernelName: ba, backendName: "cpu", kernelFunc: UX }; -var GX = Vt.nonMaxSuppressionV5Impl; -function HX(r) { +var Y$ = { kernelName: Ha, backendName: "cpu", kernelFunc: tQ }; +var rQ = Wt.nonMaxSuppressionV5Impl; +function oQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, softNmsSigma: u } = o; - j(n, "NonMaxSuppressionWithScore"); - let c = t10.data.get(n.dataId).values, l = t10.data.get(s.dataId).values, m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = GX(c, l, m, d, f, h); + Y(n, "NonMaxSuppressionWithScore"); + let c = t10.data.get(n.dataId).values, l = t10.data.get(s.dataId).values, m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = rQ(c, l, m, d, f, h); return [t10.makeTensorInfo([g.length], "int32", new Int32Array(g)), t10.makeTensorInfo([x.length], "float32", new Float32Array(x))]; } -var __ = { kernelName: _n, backendName: "cpu", kernelFunc: HX }; -function KX(r) { +var Q$ = { kernelName: Xn, backendName: "cpu", kernelFunc: oQ }; +function nQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o; - j(n, "oneHot"); + Y(n, "oneHot"); let u = y.sizeFromShape(n.shape), c = new Float32Array(u * a); c.fill(p); let l = t10.data.get(n.dataId).values; @@ -14245,294 +14608,294 @@ function KX(r) { l[m] >= 0 && l[m] < a && (c[m * a + l[m]] = i); return t10.makeTensorInfo([...n.shape, a], s, c); } -var $_ = { kernelName: $n, backendName: "cpu", kernelFunc: KX }; -function Sl(r) { +var Z$ = { kernelName: Yn, backendName: "cpu", kernelFunc: nQ }; +function Ul(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "string") throw new Error("zerosLike is not supported for string tensors"); if (o.dtype === "complex64") { - let n = Io({ inputs: { input: o }, backend: t10 }), s = Sl({ inputs: { x: n }, backend: t10 }), a = Ys({ inputs: { input: o }, backend: t10 }), i = Sl({ inputs: { x: a }, backend: t10 }), p = Ht({ inputs: { real: s, imag: i }, backend: t10 }); + let n = To({ inputs: { input: o }, backend: t10 }), s = Ul({ inputs: { x: n }, backend: t10 }), a = $a({ inputs: { input: o }, backend: t10 }), i = Ul({ inputs: { x: a }, backend: t10 }), p = Kt({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeIntermediateTensorInfo(n), t10.disposeIntermediateTensorInfo(s), t10.disposeIntermediateTensorInfo(a), t10.disposeIntermediateTensorInfo(i), p; } else - return Cl({ backend: t10, attrs: { shape: o.shape, value: 0, dtype: o.dtype } }); + return Wl({ backend: t10, attrs: { shape: o.shape, value: 0, dtype: o.dtype } }); } -var E_ = { kernelName: Os, backendName: "cpu", kernelFunc: Sl }; -function A_(r) { +var J$ = { kernelName: fa, backendName: "cpu", kernelFunc: Ul }; +function eE(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "string") throw new Error("onesLike is not supported for string tensors"); if (o.dtype === "complex64") { - let n = Io({ inputs: { input: o }, backend: t10 }), s = A_({ inputs: { x: n }, backend: t10 }), a = Ys({ inputs: { input: o }, backend: t10 }), i = Sl({ inputs: { x: a }, backend: t10 }), p = Ht({ inputs: { real: s, imag: i }, backend: t10 }); + let n = To({ inputs: { input: o }, backend: t10 }), s = eE({ inputs: { x: n }, backend: t10 }), a = $a({ inputs: { input: o }, backend: t10 }), i = Ul({ inputs: { x: a }, backend: t10 }), p = Kt({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeIntermediateTensorInfo(n), t10.disposeIntermediateTensorInfo(s), t10.disposeIntermediateTensorInfo(a), t10.disposeIntermediateTensorInfo(i), p; } else - return Cl({ backend: t10, attrs: { shape: o.shape, value: 1, dtype: o.dtype } }); + return Wl({ backend: t10, attrs: { shape: o.shape, value: 1, dtype: o.dtype } }); } -var R_ = { kernelName: ks, backendName: "cpu", kernelFunc: A_ }; -function WS(r) { +var tE = { kernelName: na, backendName: "cpu", kernelFunc: eE }; +function aI(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o; if (e.length === 1) - return ec({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); + return vc({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); let s = e[0].shape, a = e[0].dtype; e.forEach((c) => { y.assertShapesMatch(s, c.shape, "All tensors passed to stack must have matching shapes"), y.assert(a === c.dtype, () => "All tensors passed to stack must have matching dtypes"); }); let i = [], p = e.map((c) => { - let l = ec({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); + let l = vc({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); return i.push(l), l; - }), u = Mi({ inputs: p, backend: t10, attrs: { axis: n } }); + }), u = mu({ inputs: p, backend: t10, attrs: { axis: n } }); return i.forEach((c) => t10.disposeIntermediateTensorInfo(c)), u; } -var D_ = { kernelName: Ns, backendName: "cpu", kernelFunc: WS }; -function qX(r) { +var rE = { kernelName: sa, backendName: "cpu", kernelFunc: aI }; +function sQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { paddings: s, constantValue: a } = o; - j(n, "pad"); - let i = s.map((b, C) => b[0] + n.shape[C] + b[1]), p = s.map((b) => b[0]), u = t10.data.get(n.dataId).values, c = y.sizeFromShape(n.shape), l = n.shape.length, m = y.computeStrides(n.shape), d = y.sizeFromShape(i), f = i.length, h = y.computeStrides(i), g = y.getTypedArrayFromDType(n.dtype, d); + Y(n, "pad"); + let i = s.map((b, w) => b[0] + n.shape[w] + b[1]), p = s.map((b) => b[0]), u = t10.data.get(n.dataId).values, c = y.sizeFromShape(n.shape), l = n.shape.length, m = y.computeStrides(n.shape), d = y.sizeFromShape(i), f = i.length, h = y.computeStrides(i), g = y.getTypedArrayFromDType(n.dtype, d); a !== 0 && g.fill(a); for (let b = 0; b < c; b++) { - let w = y.indexToLoc(b, l, m).map((_, E) => _ + p[E]), k = y.locToIndex(w, f, h); + let S = y.indexToLoc(b, l, m).map((_, E) => _ + p[E]), k = y.locToIndex(S, f, h); g[k] = u[b]; } return { dataId: t10.write(g, i, n.dtype), shape: i, dtype: n.dtype }; } -var kf = { kernelName: En, backendName: "cpu", kernelFunc: qX }; -var jX = Be((r, e) => Math.pow(r, e)); -var XX = Qe(An, jX); -var F_ = { kernelName: An, backendName: "cpu", kernelFunc: XX }; -function YX(r) { - let { inputs: e, backend: t10, attrs: o } = r, { paramsNestedSplits: n, paramsDenseValues: s, indices: a } = e, { outputRaggedRank: i } = o, p = n.map((x) => t10.data.get(x.dataId).values), u = n.map((x) => x.shape), c = t10.data.get(s.dataId).values, l = t10.data.get(a.dataId).values, [m, d, f] = df(p, u, c, s.shape, s.dtype, l, a.shape, i), h = m.map((x) => t10.makeTensorInfo([x.length], "int32", x)), g = t10.makeTensorInfo(f, s.dtype, d); +var Bf = { kernelName: Qn, backendName: "cpu", kernelFunc: sQ }; +var aQ = ze((r, e) => Math.pow(r, e)); +var iQ = je(Zn, aQ); +var oE = { kernelName: Zn, backendName: "cpu", kernelFunc: iQ }; +function uQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { paramsNestedSplits: n, paramsDenseValues: s, indices: a } = e, { outputRaggedRank: i } = o, p = n.map((x) => t10.data.get(x.dataId).values), u = n.map((x) => x.shape), c = t10.data.get(s.dataId).values, l = t10.data.get(a.dataId).values, [m, d, f] = _f(p, u, c, s.shape, s.dtype, l, a.shape, i), h = m.map((x) => t10.makeTensorInfo([x.length], "int32", x)), g = t10.makeTensorInfo(f, s.dtype, d); return h.concat([g]); } -var O_ = { kernelName: Ip, backendName: "cpu", kernelFunc: YX }; -function QX(r) { - let { inputs: e, backend: t10 } = r, { starts: o, limits: n, deltas: s } = e, a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = ff(a, o.shape, o.dtype, i, n.shape, p, s.shape), l = t10.makeTensorInfo([u.length], "int32", u), m = t10.makeTensorInfo([c.length], o.dtype, c); +var nE = { kernelName: Kp, backendName: "cpu", kernelFunc: uQ }; +function pQ(r) { + let { inputs: e, backend: t10 } = r, { starts: o, limits: n, deltas: s } = e, a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = $f(a, o.shape, o.dtype, i, n.shape, p, s.shape), l = t10.makeTensorInfo([u.length], "int32", u), m = t10.makeTensorInfo([c.length], o.dtype, c); return [l, m]; } -var P_ = { kernelName: vp, backendName: "cpu", kernelFunc: QX }; -function ZX(r) { - let { inputs: e, backend: t10, attrs: o } = r, { shape: n, values: s, defaultValue: a, rowPartitionTensors: i } = e, { rowPartitionTypes: p } = o, u = t10.data.get(n.dataId).values, c = t10.data.get(s.dataId).values, l = t10.data.get(a.dataId).values, m = i.map((g) => t10.data.get(g.dataId).values), d = i.map((g) => g.shape), [f, h] = hf(u, n.shape, c, s.shape, s.dtype, l, a.shape, m, d, p); +var sE = { kernelName: qp, backendName: "cpu", kernelFunc: pQ }; +function cQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { shape: n, values: s, defaultValue: a, rowPartitionTensors: i } = e, { rowPartitionTypes: p } = o, u = t10.data.get(n.dataId).values, c = t10.data.get(s.dataId).values, l = t10.data.get(a.dataId).values, m = i.map((g) => t10.data.get(g.dataId).values), d = i.map((g) => g.shape), [f, h] = Ef(u, n.shape, c, s.shape, s.dtype, l, a.shape, m, d, p); return t10.makeTensorInfo(f, s.dtype, h); } -var M_ = { kernelName: kp, backendName: "cpu", kernelFunc: ZX }; -function JX(r) { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, dtype: s, step: a } = t10, i = _u(o, n, a, s); +var aE = { kernelName: jp, backendName: "cpu", kernelFunc: cQ }; +function lQ(r) { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, dtype: s, step: a } = t10, i = ap(o, n, a, s); return e.makeTensorInfo([i.length], s, i); } -var L_ = { kernelName: Ts, backendName: "cpu", kernelFunc: JX }; -var e5 = we(Fn, (r) => 1 / r); -var B_ = { kernelName: Fn, backendName: "cpu", kernelFunc: e5 }; -function t5(r) { +var iE = { kernelName: aa, backendName: "cpu", kernelFunc: lQ }; +var mQ = Ie(ts, (r) => 1 / r); +var uE = { kernelName: ts, backendName: "cpu", kernelFunc: mQ }; +function dQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o; - j(n, "resizeBilinear"); - let p = y.computeStrides(n.shape), [u, c] = i, [l, m, d, f] = n.shape, h = t10.data.get(n.dataId).values, g = new Float32Array(y.sizeFromShape([l, u, c, f])), x = [s && u > 1 ? m - 1 : m, s && c > 1 ? d - 1 : d], b = [s && u > 1 ? u - 1 : u, s && c > 1 ? c - 1 : c], C = 0, w = x[0] / b[0], k = x[1] / b[1]; + Y(n, "resizeBilinear"); + let p = y.computeStrides(n.shape), [u, c] = i, [l, m, d, f] = n.shape, h = t10.data.get(n.dataId).values, g = new Float32Array(y.sizeFromShape([l, u, c, f])), x = [s && u > 1 ? m - 1 : m, s && c > 1 ? d - 1 : d], b = [s && u > 1 ? u - 1 : u, s && c > 1 ? c - 1 : c], w = 0, S = x[0] / b[0], k = x[1] / b[1]; for (let _ = 0; _ < l; _++) for (let E = 0; E < u; E++) { - let A; - a ? A = w * (E + 0.5) - 0.5 : A = w * E; - let R = Math.max(0, Math.floor(A)), D = A - R, P = Math.min(m - 1, Math.ceil(A)), M = _ * p[0] + R * p[1], L = _ * p[0] + P * p[1]; - for (let V = 0; V < c; V++) { + let R; + a ? R = S * (E + 0.5) - 0.5 : R = S * E; + let D = Math.max(0, Math.floor(R)), F = R - D, O = Math.min(m - 1, Math.ceil(R)), M = _ * p[0] + D * p[1], L = _ * p[0] + O * p[1]; + for (let B = 0; B < c; B++) { let z; - a ? z = k * (V + 0.5) - 0.5 : z = k * V; - let U = Math.max(0, Math.floor(z)), K = z - U, H = Math.min(d - 1, Math.ceil(z)), q = M + U * p[2], Z = L + U * p[2], ee = M + H * p[2], oe = L + H * p[2]; - for (let J = 0; J < f; J++) { - let te = h[q + J], ie = h[Z + J], ce = h[ee + J], ye = h[oe + J], Ne = te + (ce - te) * K, Ie = ie + (ye - ie) * K, Ae = Ne + (Ie - Ne) * D; - g[C++] = Ae; + a ? z = k * (B + 0.5) - 0.5 : z = k * B; + let U = Math.max(0, Math.floor(z)), j = z - U, H = Math.min(d - 1, Math.ceil(z)), X = M + U * p[2], J = L + U * p[2], re = M + H * p[2], ne = L + H * p[2]; + for (let ee = 0; ee < f; ee++) { + let oe = h[X + ee], ie = h[J + ee], le = h[re + ee], ye = h[ne + ee], _e = oe + (le - oe) * j, ve = ie + (ye - ie) * j, Fe = _e + (ve - _e) * F; + g[w++] = Fe; } } } return t10.makeTensorInfo([l, u, c, f], "float32", g); } -var V_ = { kernelName: Mn, backendName: "cpu", kernelFunc: t5 }; -function r5(r) { +var pE = { kernelName: ns, backendName: "cpu", kernelFunc: dQ }; +function fQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o; - j([s, n], "resizeBilinearGrad"); - let i = y.computeStrides(n.shape), [p, u, c, l] = n.shape, [, m, d] = s.shape, f = new Float32Array(p * u * c * l), h = [a && m > 1 ? u - 1 : u, a && d > 1 ? c - 1 : c], g = [a && m > 1 ? m - 1 : m, a && d > 1 ? d - 1 : d], x = h[0] / g[0], b = h[1] / g[1], C = t10.data.get(s.dataId).values, w = 0; + Y([s, n], "resizeBilinearGrad"); + let i = y.computeStrides(n.shape), [p, u, c, l] = n.shape, [, m, d] = s.shape, f = new Float32Array(p * u * c * l), h = [a && m > 1 ? u - 1 : u, a && d > 1 ? c - 1 : c], g = [a && m > 1 ? m - 1 : m, a && d > 1 ? d - 1 : d], x = h[0] / g[0], b = h[1] / g[1], w = t10.data.get(s.dataId).values, S = 0; for (let k = 0; k < p; k++) { let _ = k * i[0]; for (let E = 0; E < m; E++) { - let A = E * x, R = Math.floor(A), D = Math.min(Math.ceil(A), u - 1), P = _ + R * i[1], M = _ + D * i[1], L = A - R, V = 1 - L; + let R = E * x, D = Math.floor(R), F = Math.min(Math.ceil(R), u - 1), O = _ + D * i[1], M = _ + F * i[1], L = R - D, B = 1 - L; for (let z = 0; z < d; z++) { - let U = z * b, K = Math.floor(U), H = Math.min(Math.ceil(U), c - 1), q = U - K, Z = 1 - q, ee = P + K * i[2], oe = P + H * i[2], J = M + K * i[2], te = M + H * i[2], ie = V * Z, ce = V * q, ye = L * Z, Ne = L * q; - for (let Ie = 0; Ie < l; Ie++) { - let Ae = C[w++]; - f[ee + Ie] += Ae * ie, f[oe + Ie] += Ae * ce, f[J + Ie] += Ae * ye, f[te + Ie] += Ae * Ne; + let U = z * b, j = Math.floor(U), H = Math.min(Math.ceil(U), c - 1), X = U - j, J = 1 - X, re = O + j * i[2], ne = O + H * i[2], ee = M + j * i[2], oe = M + H * i[2], ie = B * J, le = B * X, ye = L * J, _e = L * X; + for (let ve = 0; ve < l; ve++) { + let Fe = w[S++]; + f[re + ve] += Fe * ie, f[ne + ve] += Fe * le, f[ee + ve] += Fe * ye, f[oe + ve] += Fe * _e; } } } } return t10.makeTensorInfo([p, c, u, l], "float32", f); } -var z_ = { kernelName: Am, backendName: "cpu", kernelFunc: r5 }; -function o5(r) { +var cE = { kernelName: qa, backendName: "cpu", kernelFunc: fQ }; +function hQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o; - j(n, "resizeNearestNeighbor"); - let p = y.computeStrides(n.shape), [u, c] = i, [l, m, d, f] = n.shape, h = t10.data.get(n.dataId).values, g = new Float32Array(l * u * c * f), x = [s && u > 1 ? m - 1 : m, s && c > 1 ? d - 1 : d], b = [s && u > 1 ? u - 1 : u, s && c > 1 ? c - 1 : c], C = x[0] / b[0], w = x[1] / b[1], k = 0; + Y(n, "resizeNearestNeighbor"); + let p = y.computeStrides(n.shape), [u, c] = i, [l, m, d, f] = n.shape, h = t10.data.get(n.dataId).values, g = new Float32Array(l * u * c * f), x = [s && u > 1 ? m - 1 : m, s && c > 1 ? d - 1 : d], b = [s && u > 1 ? u - 1 : u, s && c > 1 ? c - 1 : c], w = x[0] / b[0], S = x[1] / b[1], k = 0; for (let _ = 0; _ < l; _++) { let E = _ * p[0]; - for (let A = 0; A < u; A++) { - let R = a ? C * (A + 0.5) : C * A, D = Math.min(m - 1, s ? Math.round(R) : Math.floor(R)); - a && (D = Math.max(0, D)); - let P = E + D * p[1]; + for (let R = 0; R < u; R++) { + let D = a ? w * (R + 0.5) : w * R, F = Math.min(m - 1, s ? Math.round(D) : Math.floor(D)); + a && (F = Math.max(0, F)); + let O = E + F * p[1]; for (let M = 0; M < c; M++) { - let L = a ? w * (M + 0.5) : w * M, V = Math.min(d - 1, s ? Math.round(L) : Math.floor(L)); - a && (V = Math.max(0, V)); - let z = P + V * p[2]; + let L = a ? S * (M + 0.5) : S * M, B = Math.min(d - 1, s ? Math.round(L) : Math.floor(L)); + a && (B = Math.max(0, B)); + let z = O + B * p[2]; for (let U = 0; U < f; U++) { - let K = h[z + U]; - g[k++] = K; + let j = h[z + U]; + g[k++] = j; } } } } return t10.makeTensorInfo([l, u, c, f], n.dtype, g); } -var W_ = { kernelName: Pn, backendName: "cpu", kernelFunc: o5 }; -function n5(r) { +var lE = { kernelName: os, backendName: "cpu", kernelFunc: hQ }; +function gQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o; - j([s, n], "resizeNearestNeighborGrad"); - let i = y.computeStrides(n.shape), p = y.computeStrides(s.shape), [u, c, l, m] = n.shape, [, d, f] = s.shape, h = new Float32Array(u * c * l * m), g = t10.data.get(s.dataId).values, x = [a && d > 1 ? c - 1 : c, a && f > 1 ? l - 1 : l], b = [a && d > 1 ? d - 1 : d, a && f > 1 ? f - 1 : f], C = x[0] / b[0], w = x[1] / b[1], k = 1 / C, _ = 1 / w, E = Math.ceil(k) * 2 + 2, A = Math.ceil(_) * 2 + 2; - for (let R = 0; R < u; R++) { - let D = R * i[0]; - for (let P = 0; P < c; P++) { - let M = D + P * i[1], L = Math.floor(P * k), V = Math.floor(L - E / 2); + Y([s, n], "resizeNearestNeighborGrad"); + let i = y.computeStrides(n.shape), p = y.computeStrides(s.shape), [u, c, l, m] = n.shape, [, d, f] = s.shape, h = new Float32Array(u * c * l * m), g = t10.data.get(s.dataId).values, x = [a && d > 1 ? c - 1 : c, a && f > 1 ? l - 1 : l], b = [a && d > 1 ? d - 1 : d, a && f > 1 ? f - 1 : f], w = x[0] / b[0], S = x[1] / b[1], k = 1 / w, _ = 1 / S, E = Math.ceil(k) * 2 + 2, R = Math.ceil(_) * 2 + 2; + for (let D = 0; D < u; D++) { + let F = D * i[0]; + for (let O = 0; O < c; O++) { + let M = F + O * i[1], L = Math.floor(O * k), B = Math.floor(L - E / 2); for (let z = 0; z < l; z++) { - let U = M + z * i[2], K = Math.floor(z * _), H = Math.floor(K - A / 2); - for (let q = 0; q < m; q++) { - let Z = 0; - for (let ee = 0; ee < E; ee++) { - let oe = ee + V; - if (oe < 0 || oe >= d) + let U = M + z * i[2], j = Math.floor(z * _), H = Math.floor(j - R / 2); + for (let X = 0; X < m; X++) { + let J = 0; + for (let re = 0; re < E; re++) { + let ne = re + B; + if (ne < 0 || ne >= d) continue; - let J = D + oe * p[1], te = oe * C, ie = Math.min(c - 1, a ? Math.round(te) : Math.floor(te)); - if (P === ie) - for (let ce = 0; ce < A; ce++) { - let ye = ce + H; + let ee = F + ne * p[1], oe = ne * w, ie = Math.min(c - 1, a ? Math.round(oe) : Math.floor(oe)); + if (O === ie) + for (let le = 0; le < R; le++) { + let ye = le + H; if (ye < 0 || ye >= f) continue; - let Ne = J + ye * p[2], Ie = ye * w, Ae = Math.min(l - 1, a ? Math.round(Ie) : Math.floor(Ie)); - z === Ae && (Z += g[Ne + q]); + let _e = ee + ye * p[2], ve = ye * S, Fe = Math.min(l - 1, a ? Math.round(ve) : Math.floor(ve)); + z === Fe && (J += g[_e + X]); } } - h[U + q] = Z; + h[U + X] = J; } } } } return t10.makeTensorInfo(n.shape, n.dtype, h); } -var U_ = { kernelName: Em, backendName: "cpu", kernelFunc: n5 }; -function s5(r) { +var mE = { kernelName: Ka, backendName: "cpu", kernelFunc: gQ }; +function xQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dims: s } = o; - j(n, "reverse"); + Y(n, "reverse"); let a = n.shape.length, i = y.parseAxisParam(s, n.shape); if (a === 0) - return ir({ inputs: { x: n }, backend: t10 }); - let p = new st(n.shape, n.dtype), u = t10.bufferSync(n); + return lr({ inputs: { x: n }, backend: t10 }); + let p = new tt(n.shape, n.dtype), u = t10.bufferSync(n); for (let c = 0; c < p.size; c++) { let l = p.indexToLoc(c), m = l.slice(); i.forEach((d) => m[d] = n.shape[d] - 1 - m[d]), p.set(u.get(...m), ...l); } return t10.makeTensorInfo(p.shape, p.dtype, p.values); } -var G_ = { kernelName: Bn, backendName: "cpu", kernelFunc: s5 }; -var H_ = { kernelName: ts, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { - let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = y.getTypedArrayFromDType(o.dtype, y.sizeFromShape(o.shape)), [u, c, l, m] = o.shape, [d, f] = S.getImageCenter(a, c, l), h = 255, g = Math.sin(n), x = Math.cos(n), b = i.data.get(o.dataId).values; - for (let w = 0; w < u; w++) { - let k = w * l * c * m; +var dE = { kernelName: as, backendName: "cpu", kernelFunc: xQ }; +var fE = { kernelName: _s, backendName: "cpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { + let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = y.getTypedArrayFromDType(o.dtype, y.sizeFromShape(o.shape)), [u, c, l, m] = o.shape, [d, f] = C.getImageCenter(a, c, l), h = 255, g = Math.sin(n), x = Math.cos(n), b = i.data.get(o.dataId).values; + for (let S = 0; S < u; S++) { + let k = S * l * c * m; for (let _ = 0; _ < c; _++) { let E = _ * (l * m); - for (let A = 0; A < l; A++) { - let R = A * m; - for (let D = 0; D < m; D++) { - let P = [u, _, A, D], M = P[2], L = P[1], V = (M - d) * x - (L - f) * g, z = (M - d) * g + (L - f) * x; - V = Math.round(V + d), z = Math.round(z + f); + for (let R = 0; R < l; R++) { + let D = R * m; + for (let F = 0; F < m; F++) { + let O = [u, _, R, F], M = O[2], L = O[1], B = (M - d) * x - (L - f) * g, z = (M - d) * g + (L - f) * x; + B = Math.round(B + d), z = Math.round(z + f); let U = s; - if (typeof s != "number" && (D === 3 ? U = h : U = s[D]), V >= 0 && V < l && z >= 0 && z < c) { - let H = z * (l * m), q = V * m, Z = k + H + q + D; - U = b[Z]; + if (typeof s != "number" && (F === 3 ? U = h : U = s[F]), B >= 0 && B < l && z >= 0 && z < c) { + let H = z * (l * m), X = B * m, J = k + H + X + F; + U = b[J]; } - let K = k + E + R + D; - p[K] = U; + let j = k + E + D + F; + p[j] = U; } } } } return { dataId: i.write(p, o.shape, o.dtype), shape: o.shape, dtype: o.dtype }; } }; -var a5 = we(Vn, (r) => { +var yQ = Ie(is, (r) => { let e = Math.floor(r); return r - e < 0.5 ? Math.floor(r) : r - e > 0.5 ? Math.ceil(r) : e % 2 === 0 ? e : e + 1; }); -var K_ = { kernelName: Vn, backendName: "cpu", kernelFunc: a5 }; -function i5(r) { - let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = S.calculateShapes(s, n, a), m = true, d = t10.bufferSync(n), f = t10.bufferSync(s), h = Va(d, f, a, l, u, p, i, c, 0, m); +var hE = { kernelName: is, backendName: "cpu", kernelFunc: yQ }; +function bQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = C.calculateShapes(s, n, a), m = true, d = t10.bufferSync(n), f = t10.bufferSync(s), h = Fs(d, f, a, l, u, p, i, c, 0, m); return t10.makeTensorInfo(a, h.dtype, h.values); } -var q_ = { kernelName: Wn, backendName: "cpu", kernelFunc: i5 }; -function u5(r, e) { +var gE = { kernelName: ps, backendName: "cpu", kernelFunc: bQ }; +function CQ(r, e) { let t10 = 0, o = r.length, n = 0; for (; t10 < o; ) n = Math.floor((t10 + o) / 2), r[n] < e ? t10 = n + 1 : o = n; return o; } -function p5(r, e) { +function wQ(r, e) { let t10 = 0, o = r.length, n = 0; for (; t10 < o; ) n = Math.floor((t10 + o) / 2), r[n] <= e ? t10 = n + 1 : o = n; return o; } -function j_(r, e, t10, o, n, s) { +function xE(r, e, t10, o, n, s) { let a = y.getArrayFromDType("int32", t10 * n); for (let i = 0; i < t10; ++i) { let p = r.slice(i * o, (i + 1) * o), u = i * n; for (let c = 0; c < n; ++c) - a[u + c] = s === "left" ? u5(p, e[c + u]) : p5(p, e[c + u]); + a[u + c] = s === "left" ? CQ(p, e[c + u]) : wQ(p, e[c + u]); } return a; } -function c5(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, u = j_(i, p, n.shape[0], n.shape[1], s.shape[1], a); +function SQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, u = xE(i, p, n.shape[0], n.shape[1], s.shape[1], a); return t10.makeTensorInfo(s.shape, "int32", u); } -var X_ = { kernelName: fi, backendName: "cpu", kernelFunc: c5 }; -function l5(r) { +var yE = { kernelName: ls, backendName: "cpu", kernelFunc: SQ }; +function IQ(r) { let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e; - j([o, n, s], "select"); + Y([o, n, s], "select"); let a = o.shape.length, i = t10.data.get(o.dataId).values, p = t10.data.get(n.dataId).values, u = t10.data.get(s.dataId).values, c = dt(n.dtype, s.dtype), l = y.makeZerosTypedArray(y.sizeFromShape(n.shape), c), m = 0, d = a === 0 || a > 1 || n.shape.length === 1 ? 1 : y.sizeFromShape(n.shape.slice(1)); for (let f = 0; f < i.length; f++) for (let h = 0; h < d; h++) i[f] === 1 ? l[m++] = p[f] : l[m++] = u[f]; return t10.makeTensorInfo(n.shape, c, l); } -var Y_ = { kernelName: $s, backendName: "cpu", kernelFunc: l5 }; -var m5 = S.SELU_SCALEALPHA; -var d5 = S.SELU_SCALE; -var f5 = we(Ca, (r) => r >= 0 ? d5 * r : m5 * (Math.exp(r) - 1)); -var Q_ = { kernelName: Ca, backendName: "cpu", kernelFunc: f5 }; -var h5 = we(wa, (r) => r < 0 ? -1 : r > 0 ? 1 : 0); -var Z_ = { kernelName: wa, backendName: "cpu", kernelFunc: h5 }; -var g5 = we(Un, (r) => Math.sin(r)); -var J_ = { kernelName: Un, backendName: "cpu", kernelFunc: g5 }; -var x5 = we(Sa, (r) => Math.sinh(r)); -var e$ = { kernelName: Sa, backendName: "cpu", kernelFunc: x5 }; -var y5 = 11920928955078125e-23; -var t$ = Math.log(y5) + 2; -var b5 = we(Ia, (r) => { - let e = r > -t$, t10 = r < t$, o = Math.exp(r), n; +var bE = { kernelName: ua, backendName: "cpu", kernelFunc: IQ }; +var vQ = C.SELU_SCALEALPHA; +var kQ = C.SELU_SCALE; +var NQ = Ie(ms, (r) => r >= 0 ? kQ * r : vQ * (Math.exp(r) - 1)); +var CE = { kernelName: ms, backendName: "cpu", kernelFunc: NQ }; +var TQ = Ie(fs, (r) => r < 0 ? -1 : r > 0 ? 1 : 0); +var wE = { kernelName: fs, backendName: "cpu", kernelFunc: TQ }; +var _Q = Ie(ds, (r) => Math.sin(r)); +var SE = { kernelName: ds, backendName: "cpu", kernelFunc: _Q }; +var $Q = Ie(ja, (r) => Math.sinh(r)); +var IE = { kernelName: ja, backendName: "cpu", kernelFunc: $Q }; +var EQ = 11920928955078125e-23; +var vE = Math.log(EQ) + 2; +var RQ = Ie(gs, (r) => { + let e = r > -vE, t10 = r < vE, o = Math.exp(r), n; return t10 ? n = o : e ? n = r : n = Math.log(1 + o), n; }); -var r$ = { kernelName: Ia, backendName: "cpu", kernelFunc: b5 }; -function C5(r) { +var kE = { kernelName: gs, backendName: "cpu", kernelFunc: RQ }; +function DQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, paddings: a } = o; - j([n], "spaceToBatchND"); + Y([n], "spaceToBatchND"); let i = y.sizeFromShape(s), p = [[0, 0]]; p.push(...a); for (let _ = 1 + s.length; _ < n.shape.length; ++_) p.push([0, 0]); - let u = kf.kernelFunc({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), c = S.getReshaped(u.shape, s, i, false), l = S.getPermuted(c.length, s.length, false), m = S.getReshapedPermuted(u.shape, s, i, false), h = Le({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), b = St({ inputs: { x: h }, backend: t10, attrs: { perm: l } }), k = Le({ inputs: { x: b }, backend: t10, attrs: { shape: m } }); + let u = Bf.kernelFunc({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), c = C.getReshaped(u.shape, s, i, false), l = C.getPermuted(c.length, s.length, false), m = C.getReshapedPermuted(u.shape, s, i, false), h = Ve({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), b = St({ inputs: { x: h }, backend: t10, attrs: { perm: l } }), k = Ve({ inputs: { x: b }, backend: t10, attrs: { shape: m } }); return t10.disposeIntermediateTensorInfo(u), t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(b), k; } -var o$ = { kernelName: As, backendName: "cpu", kernelFunc: C5 }; -function S5(r) { +var NE = { kernelName: ca, backendName: "cpu", kernelFunc: DQ }; +function AQ(r) { let { inputs: e, backend: t10 } = r, { indices: o, values: n, denseShape: s, defaultValue: a } = e; if (s.shape.length !== 1) throw new Error(`Dense shape must be a vector, saw: @@ -14546,11 +14909,11 @@ function S5(r) { if (a.shape.length !== 0) throw new Error(`Default value must be a scalar, saw: ${a.shape}`); - let i = t10.data.get(o.dataId).values, p = t10.data.get(n.dataId).values, u = t10.data.get(s.dataId).values, c = t10.data.get(a.dataId).values[0], [l, m, d, f, h] = gf(i, o.shape, o.dtype, p, n.dtype, u, c); + let i = t10.data.get(o.dataId).values, p = t10.data.get(n.dataId).values, u = t10.data.get(s.dataId).values, c = t10.data.get(a.dataId).values[0], [l, m, d, f, h] = Rf(i, o.shape, o.dtype, p, n.dtype, u, c); return [t10.makeTensorInfo(m, o.dtype, l), t10.makeTensorInfo([m[0]], n.dtype, d), t10.makeTensorInfo([f.length], "bool", new Uint8Array(f.map((g) => Number(g)))), t10.makeTensorInfo([h.length], o.dtype, new Int32Array(h))]; } -var n$ = { kernelName: hi, backendName: "cpu", kernelFunc: S5 }; -function w5(r) { +var TE = { kernelName: Vi, backendName: "cpu", kernelFunc: AQ }; +function FQ(r) { let { inputs: e, backend: t10 } = r, { inputIndices: o, inputShape: n, newShape: s } = e; if (o.shape.length !== 2) throw new Error(`Input indices should be a matrix but received shape @@ -14560,11 +14923,11 @@ function w5(r) { ${n.shape}`); if (s.shape.length !== 1) throw new Error(`Target shape should be a vector but received shape ${s.shape}`); - let a = Array.from(t10.data.get(n.dataId).values), i = t10.data.get(o.dataId).values, p = Array.from(t10.data.get(s.dataId).values), [u, c, l] = xf(i, o.shape, o.dtype, a, p); + let a = Array.from(t10.data.get(n.dataId).values), i = t10.data.get(o.dataId).values, p = Array.from(t10.data.get(s.dataId).values), [u, c, l] = Df(i, o.shape, o.dtype, a, p); return [t10.makeTensorInfo(c, o.dtype, u), t10.makeTensorInfo([l.length], s.dtype, new Int32Array(l))]; } -var s$ = { kernelName: va, backendName: "cpu", kernelFunc: w5 }; -function I5(r) { +var _E = { kernelName: Xa, backendName: "cpu", kernelFunc: FQ }; +function PQ(r) { let { inputs: e, backend: t10 } = r, { data: o, indices: n, segmentIds: s } = e; if (o.shape.length < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -14576,11 +14939,11 @@ function I5(r) { ${s.shape}`); if (n.shape[0] !== s.shape[0]) throw new Error("segmentIds and indices should have same size."); - let a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = Qp(a, o.shape, o.dtype, i, p, true); + let a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = wc(a, o.shape, o.dtype, i, p, true); return t10.makeTensorInfo(c, o.dtype, u); } -var a$ = { kernelName: gi, backendName: "cpu", kernelFunc: I5 }; -function v5(r) { +var $E = { kernelName: Wi, backendName: "cpu", kernelFunc: PQ }; +function OQ(r) { let { inputs: e, backend: t10 } = r, { data: o, indices: n, segmentIds: s } = e; if (o.shape.length < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -14592,31 +14955,31 @@ function v5(r) { ${s.shape}`); if (n.shape[0] !== s.shape[0]) throw new Error("segmentIds and indices should have same size."); - let a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = Qp(a, o.shape, o.dtype, i, p); + let a = t10.data.get(o.dataId).values, i = t10.data.get(n.dataId).values, p = t10.data.get(s.dataId).values, [u, c] = wc(a, o.shape, o.dtype, i, p); return t10.makeTensorInfo(c, o.dtype, u); } -var i$ = { kernelName: xi, backendName: "cpu", kernelFunc: v5 }; -function k5(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = S.calculateShapes(s, n, i), d = false, f = t10.bufferSync(n), h; +var EE = { kernelName: Ui, backendName: "cpu", kernelFunc: OQ }; +function MQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = C.calculateShapes(s, n, i), d = false, f = t10.bufferSync(n), h; switch (s.dtype) { case "bool": { let g = t10.bufferSync(s), x = !!t10.data.get(a.dataId).values[0]; - h = Va(f, g, i, m, c, u, p, l, x, d); + h = Fs(f, g, i, m, c, u, p, l, x, d); break; } case "float32": { let g = t10.bufferSync(s), x = t10.data.get(a.dataId).values[0]; - h = Va(f, g, i, m, c, u, p, l, x, d); + h = Fs(f, g, i, m, c, u, p, l, x, d); break; } case "int32": { let g = t10.bufferSync(s), x = t10.data.get(a.dataId).values[0]; - h = Va(f, g, i, m, c, u, p, l, x, d); + h = Fs(f, g, i, m, c, u, p, l, x, d); break; } case "string": { let g = t10.bufferSync(s), x = y.decodeString(t10.data.get(a.dataId).values[0]); - h = Va(f, g, i, m, c, u, p, l, x, d); + h = Fs(f, g, i, m, c, u, p, l, x, d); break; } default: @@ -14624,20 +14987,20 @@ function k5(r) { } return t10.makeTensorInfo(i, h.dtype, h.values); } -var u$ = { kernelName: yi, backendName: "cpu", kernelFunc: k5 }; -function N5(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = S.prepareSplitSize(n, s, i), u = new Array(n.shape.length).fill(0), c = n.shape.slice(); +var RE = { kernelName: Cs, backendName: "cpu", kernelFunc: MQ }; +function LQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = C.prepareSplitSize(n, s, i), u = new Array(n.shape.length).fill(0), c = n.shape.slice(); return p.map((l) => { let m = [...c]; m[i] = l; - let d = To({ inputs: { x: n }, backend: t10, attrs: { begin: u, size: m } }); + let d = Eo({ inputs: { x: n }, backend: t10, attrs: { begin: u, size: m } }); return u[i] += l, d; }); } -var p$ = { kernelName: Rs, backendName: "cpu", kernelFunc: N5 }; -var c$ = { kernelName: bi, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e }) => { +var DE = { kernelName: la, backendName: "cpu", kernelFunc: LQ }; +var AE = { kernelName: Gi, backendName: "cpu", kernelFunc: ({ inputs: r, backend: e }) => { let { x: t10 } = r, o = e; - j(t10, "square"); + Y(t10, "square"); let n = o.data.get(t10.dataId).values, s = new Float32Array(n.length); for (let i = 0; i < n.length; ++i) { let p = n[i]; @@ -14645,34 +15008,34 @@ var c$ = { kernelName: bi, backendName: "cpu", kernelFunc: ({ inputs: r, backend } return { dataId: o.write(s, t10.shape, t10.dtype), shape: t10.shape, dtype: t10.dtype }; } }; -var T5 = we(fo, (r, e) => { +var BQ = Ie(yo, (r, e) => { let t10 = e; return isNaN(r) ? NaN : r > 0 ? 1 : t10.alpha; }); -var l$ = { kernelName: fo, backendName: "cpu", kernelFunc: T5 }; -function _5(r) { +var FE = { kernelName: yo, backendName: "cpu", kernelFunc: BQ }; +function zQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o; - j(n, "stridedSlice"); - let { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: C, strides: w } = ut.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; + Y(n, "stridedSlice"); + let { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: w, strides: S } = ct.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; if (h) - k = Le({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); + k = Ve({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); else if (g || x) { y.assert(n.shape.length >= 1, () => `Input must have rank at least 1, got: ${n.shape.length}`); - let _ = ut.computeOutShape(b, C, w), E = To({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: _ } }); - k = Le({ inputs: { x: E }, backend: t10, attrs: { shape: f } }), t10.disposeIntermediateTensorInfo(E); + let _ = ct.computeOutShape(b, w, S), E = Eo({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: _ } }); + k = Ve({ inputs: { x: E }, backend: t10, attrs: { shape: f } }), t10.disposeIntermediateTensorInfo(E); } else { - let _ = t10.bufferSync(n), E = yf(d, _, w, b); + let _ = t10.bufferSync(n), E = Af(d, _, S, b); k = t10.makeTensorInfo(f, E.dtype, E.values); } return k; } -var m$ = { kernelName: Xn, backendName: "cpu", kernelFunc: _5 }; -function $5(r) { - let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.data.get(c.dataId).values, d = t10.data.get(l.dataId).values, [f, h] = Eu(m, d, n, s, a, i, p, u); +var PE = { kernelName: Ss, backendName: "cpu", kernelFunc: zQ }; +function VQ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.data.get(c.dataId).values, d = t10.data.get(l.dataId).values, [f, h] = up(m, d, n, s, a, i, p, u); return [t10.makeTensorInfo([f.length], "string", f), t10.makeTensorInfo(l.shape, "int32", h)]; } -var d$ = { kernelName: Ds, backendName: "cpu", kernelFunc: $5 }; -function E5(r) { +var OE = { kernelName: ma, backendName: "cpu", kernelFunc: VQ }; +function WQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { skipEmpty: n } = o, { input: s, delimiter: a } = e; if (s.dtype !== "string") throw new Error("Input must be of datatype string"); @@ -14680,83 +15043,88 @@ function E5(r) { throw new Error(`Input must be a vector, got shape: ${s.shape}`); if (a.shape.length !== 0) throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`); - let i = t10.data.get(s.dataId).values, p = t10.data.get(a.dataId).values[0], [u, c, l] = Au(i, p, n), m = c.length; + let i = t10.data.get(s.dataId).values, p = t10.data.get(a.dataId).values[0], [u, c, l] = pp(i, p, n), m = c.length; return [t10.makeTensorInfo([m, 2], "int32", u), t10.makeTensorInfo([m], "string", c), t10.makeTensorInfo([2], "int32", new Int32Array(l))]; } -var f$ = { kernelName: Ci, backendName: "cpu", kernelFunc: E5 }; -function A5(r) { +var ME = { kernelName: Hi, backendName: "cpu", kernelFunc: WQ }; +function UQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { numBuckets: n } = o, { input: s } = e; if (s.dtype !== "string") throw new Error("Input must be of datatype string"); if (n <= 0) throw new Error("Number of buckets must be at least 1"); - let a = t10.data.get(s.dataId).values, i = Ru(a, n); + let a = t10.data.get(s.dataId).values, i = cp(a, n); return t10.makeTensorInfo(s.shape, "int32", i); } -var h$ = { kernelName: Si, backendName: "cpu", kernelFunc: A5 }; -var R5 = we(Qn, (r) => Math.tan(r)); -var g$ = { kernelName: Qn, backendName: "cpu", kernelFunc: R5 }; -var D5 = we(Zn, (r) => Math.tanh(r)); -var x$ = { kernelName: Zn, backendName: "cpu", kernelFunc: D5 }; -function F5(r) { +var LE = { kernelName: Ki, backendName: "cpu", kernelFunc: UQ }; +var GQ = Ie(vs, (r) => Math.tan(r)); +var BE = { kernelName: vs, backendName: "cpu", kernelFunc: GQ }; +var HQ = Ie(ks, (r) => Math.tanh(r)); +var zE = { kernelName: ks, backendName: "cpu", kernelFunc: HQ }; +function KQ(r) { + let { inputs: e, backend: t10 } = r, { tensor: o, indices: n, updates: s } = e, { sliceRank: a, numUpdates: i, sliceSize: p, strides: u, outputSize: c } = C.calculateShapes(s, n, o.shape), l = false, m = t10.bufferSync(n), d = t10.bufferSync(s), f = t10.bufferSync(o), h = Fs(m, d, o.shape, c, p, i, a, u, f, l); + return t10.makeTensorInfo(o.shape, h.dtype, h.values); +} +var VE = { kernelName: cs, backendName: "cpu", kernelFunc: KQ }; +function qQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reps: s } = o; - j(n, "tile"); - let a = bf(t10.bufferSync(n), s); + Y(n, "tile"); + let a = Ff(t10.bufferSync(n), s); return t10.makeTensorInfo(a.shape, a.dtype, a.values); } -var y$ = { kernelName: to, backendName: "cpu", kernelFunc: F5 }; -function O5(r) { +var WE = { kernelName: so, backendName: "cpu", kernelFunc: qQ }; +function jQ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { k: s, sorted: a } = o; - j(n, "topk"); - let i = t10.data.get(n.dataId).values, [p, u] = Cf(i, n.shape, n.dtype, s, a); + Y(n, "topk"); + let i = t10.data.get(n.dataId).values, [p, u] = Pf(i, n.shape, n.dtype, s, a); return [t10.makeTensorInfo(p.shape, p.dtype, p.values), t10.makeTensorInfo(u.shape, u.dtype, u.values)]; } -var b$ = { kernelName: Jn, backendName: "cpu", kernelFunc: O5 }; -function P5(r) { - let { inputs: e, attrs: t10, backend: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = t10, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = y.computeStrides(n.shape), b = x[0], C = x[1], w = x[2], k = y.computeStrides(g), _ = k[0], E = k[1], A = k[2], R = y.getTypedArrayFromDType(n.dtype, y.sizeFromShape(g)); - R.fill(p); - let D = o.data.get(n.dataId).values, P = o.data.get(s.dataId).values; +var UE = { kernelName: Ns, backendName: "cpu", kernelFunc: jQ }; +function XQ(r) { + let { inputs: e, attrs: t10, backend: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = t10, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = y.computeStrides(n.shape), b = x[0], w = x[1], S = x[2], k = y.computeStrides(g), _ = k[0], E = k[1], R = k[2], D = y.getTypedArrayFromDType(n.dtype, y.sizeFromShape(g)); + D.fill(p); + let F = o.data.get(n.dataId).values, O = o.data.get(s.dataId).values; for (let L = 0; L < c; ++L) { - let V = s.shape[0] === 1 ? P : P.subarray(L * 8, L * 8 + 8); + let B = s.shape[0] === 1 ? O : O.subarray(L * 8, L * 8 + 8); for (let z = 0; z < f; ++z) for (let U = 0; U < h; ++U) - for (let K = 0; K < d; ++K) { - let H, q = V[6] * U + V[7] * z + 1; - if (q === 0) + for (let j = 0; j < d; ++j) { + let H, X = B[6] * U + B[7] * z + 1; + if (X === 0) continue; - let Z = (V[0] * U + V[1] * z + V[2]) / q, ee = (V[3] * U + V[4] * z + V[5]) / q, oe = C$(Z, m, i), J = C$(ee, l, i); + let J = (B[0] * U + B[1] * z + B[2]) / X, re = (B[3] * U + B[4] * z + B[5]) / X, ne = GE(J, m, i), ee = GE(re, l, i); switch (a) { case "nearest": - H = z5(D, l, m, b, C, w, L, J, oe, K, p); + H = e7(F, l, m, b, w, S, L, ee, ne, j, p); break; case "bilinear": - H = W5(D, l, m, b, C, w, L, J, oe, K, p); + H = t7(F, l, m, b, w, S, L, ee, ne, j, p); break; default: throw new Error(`Error in Transform: Expect 'nearest' or 'bilinear', but got ${a}`); } - let te = L * _ + z * E + U * A + K; - R[te] = H; + let oe = L * _ + z * E + U * R + j; + D[oe] = H; } - return o.makeTensorInfo(g, n.dtype, R); + return o.makeTensorInfo(g, n.dtype, D); } - return { dataId: o.write(R, g, n.dtype), shape: n.shape, dtype: n.dtype }; + return { dataId: o.write(D, g, n.dtype), shape: n.shape, dtype: n.dtype }; } -var S$ = { kernelName: es, backendName: "cpu", kernelFunc: P5 }; -function C$(r, e, t10) { +var HE = { kernelName: Ts, backendName: "cpu", kernelFunc: XQ }; +function GE(r, e, t10) { switch (t10) { case "reflect": - return M5(r, e); + return YQ(r, e); case "wrap": - return L5(r, e); + return QQ(r, e); case "nearest": - return V5(r, e); + return JQ(r, e); case "constant": default: - return B5(r, e); + return ZQ(r, e); } } -function M5(r, e) { +function YQ(r, e) { let t10 = r; if (t10 < 0) if (e <= 1) @@ -14774,7 +15142,7 @@ function M5(r, e) { } return y.clamp(0, t10, e - 1); } -function L5(r, e) { +function QQ(r, e) { let t10 = r; if (t10 < 0) if (e <= 1) @@ -14792,32 +15160,32 @@ function L5(r, e) { } return y.clamp(0, t10, e - 1); } -function B5(r, e) { +function ZQ(r, e) { return r; } -function V5(r, e) { +function JQ(r, e) { return y.clamp(0, r, e - 1); } -function wl(r, e, t10, o, n, s, a, i, p, u, c) { +function Gl(r, e, t10, o, n, s, a, i, p, u, c) { let l = a * o + i * n + p * s + u; return 0 <= i && i < e && 0 <= p && p < t10 ? r[l] : c; } -function z5(r, e, t10, o, n, s, a, i, p, u, c) { +function e7(r, e, t10, o, n, s, a, i, p, u, c) { let l = Math.round(i), m = Math.round(p); - return wl(r, e, t10, o, n, s, a, l, m, u, c); + return Gl(r, e, t10, o, n, s, a, l, m, u, c); } -function W5(r, e, t10, o, n, s, a, i, p, u, c) { - let l = Math.floor(i), m = Math.floor(p), d = l + 1, f = m + 1, h = (f - p) * wl(r, e, t10, o, n, s, a, l, m, u, c) + (p - m) * wl(r, e, t10, o, n, s, a, l, f, u, c), g = (f - p) * wl(r, e, t10, o, n, s, a, d, m, u, c) + (p - m) * wl(r, e, t10, o, n, s, a, d, f, u, c); +function t7(r, e, t10, o, n, s, a, i, p, u, c) { + let l = Math.floor(i), m = Math.floor(p), d = l + 1, f = m + 1, h = (f - p) * Gl(r, e, t10, o, n, s, a, l, m, u, c) + (p - m) * Gl(r, e, t10, o, n, s, a, l, f, u, c), g = (f - p) * Gl(r, e, t10, o, n, s, a, d, m, u, c) + (p - m) * Gl(r, e, t10, o, n, s, a, d, f, u, c); return (d - i) * h + (i - l) * g; } -function U5(r) { +function r7(r) { let { inputs: e, attrs: t10, backend: o } = r, { axis: n } = t10, { x: s } = e; - j(s, "unique"); - let a = o.data.get(s.dataId).values, { outputValues: i, outputShape: p, indices: u } = Sf(a, n, s.shape, s.dtype); + Y(s, "unique"); + let a = o.data.get(s.dataId).values, { outputValues: i, outputShape: p, indices: u } = lp(a, n, s.shape, s.dtype); return [o.makeTensorInfo(p, s.dtype, i), o.makeTensorInfo([u.length], "int32", u)]; } -var w$ = { kernelName: Np, backendName: "cpu", kernelFunc: U5 }; -function G5(r) { +var KE = { kernelName: qi, backendName: "cpu", kernelFunc: r7 }; +function o7(r) { let { inputs: e, backend: t10, attrs: o } = r, { value: n } = e, { axis: s } = o; s < 0 && (s += n.shape.length); let a = n.shape.length, i = n.shape[s], p = new Array(a - 1), u = 0; @@ -14828,112 +15196,112 @@ function G5(r) { let m = new Array(i); for (let d = 0; d < m.length; d++) { c[s] = d; - let f = To({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: l } }); - m[d] = Le({ inputs: { x: f }, backend: t10, attrs: { shape: p } }), t10.disposeIntermediateTensorInfo(f); + let f = Eo({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: l } }); + m[d] = Ve({ inputs: { x: f }, backend: t10, attrs: { shape: p } }), t10.disposeIntermediateTensorInfo(f); } return m; } -var I$ = { kernelName: Fs, backendName: "cpu", kernelFunc: G5 }; -function H5(r) { +var qE = { kernelName: da, backendName: "cpu", kernelFunc: o7 }; +function n7(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, segmentIds: s } = e, { numSegments: a } = o; - j(n, "unsortedSegmentSum"); + Y(n, "unsortedSegmentSum"); let i = n.shape.length, p = s.shape.length, u = [], c = [], l = i - p, m = s; for (let f = 0; f < l; ++f) { - let h = ec({ inputs: { input: m }, backend: t10, attrs: { dim: f + 1 } }); + let h = vc({ inputs: { input: m }, backend: t10, attrs: { dim: f + 1 } }); m = h, c.push(h); } for (let f = 0; f < a; ++f) { - let h = y.createScalarValue(f, "int32"), g = t10.makeTensorInfo([], "int32", h), x = lS({ inputs: { a: g, b: m }, backend: t10 }), b = vo({ inputs: { x }, backend: t10, attrs: { dtype: "float32" } }), C = Tu({ inputs: { a: b, b: n }, backend: t10 }), w = za({ inputs: { x: C }, backend: t10, attrs: { axis: 0, keepDims: false } }); - u.push(w), c.push(g), c.push(x), c.push(b), c.push(C), c.push(w); + let h = y.createScalarValue(f, "int32"), g = t10.makeTensorInfo([], "int32", h), x = TS({ inputs: { a: g, b: m }, backend: t10 }), b = _o({ inputs: { x }, backend: t10, attrs: { dtype: "float32" } }), w = sp({ inputs: { a: b, b: n }, backend: t10 }), S = li({ inputs: { x: w }, backend: t10, attrs: { axis: 0, keepDims: false } }); + u.push(S), c.push(g), c.push(x), c.push(b), c.push(w), c.push(S); } - let d = WS({ inputs: u, backend: t10, attrs: { axis: 0 } }); + let d = aI({ inputs: u, backend: t10, attrs: { axis: 0 } }); return c.forEach((f) => t10.disposeIntermediateTensorInfo(f)), d; } -var v$ = { kernelName: Tp, backendName: "cpu", kernelFunc: H5 }; -var K5 = [YT, iT, QT, ZT, mT, JT, e2, t2, r2, o2, n2, s2, a2, i2, u2, c2, l2, m2, d2, XT, f2, h2, g2, x2, lT, dT, y2, uT, b2, S2, w2, I2, v2, k2, N2, T2, _2, $2, E2, A2, R2, D2, F2, O2, P2, M2, L2, B2, V2, z2, U2, UT, G2, fT, H2, hT, K2, gT, q2, j2, X2, xT, Y2, Q2, Z2, J2, e_, yT, bT, pT, t_, C2, r_, o_, n_, GT, CT, ST, s_, wT, a_, i_, u_, p_, c_, l_, m_, IT, d_, f_, h_, g_, y_, b_, C_, vT, S_, w_, k_, kT, NT, N_, T_, __, TT, $_, R_, D_, kf, F_, HT, $T, O_, P_, M_, L_, cT, bl, B_, KT, qT, jT, V_, z_, W_, U_, G_, H_, K_, FT, q_, X_, Y_, Q_, PT, Z_, J_, e$, MT, I_, r$, o$, n$, s$, a$, i$, u$, p$, BT, c$, VT, l$, m$, d$, f$, h$, zT, W2, g$, x$, y$, b$, S$, _T, w$, I$, v$, E_]; -for (let r of K5) - ka(r); -var nc = {}; -Ge(nc, { assertNotComplex: () => us, bindCanvasToFramebuffer: () => t8, bindColorTextureToFramebuffer: () => Nl, bindTextureToProgramUniformSampler: () => nw, bindTextureUnit: () => _$, bindVertexBufferToProgramAttribute: () => Af, callAndCheck: () => pe, canBeRepresented: () => KS, createFragmentShader: () => jS, createFramebuffer: () => tw, createProgram: () => XS, createStaticIndexBuffer: () => ZS, createStaticVertexBuffer: () => QS, createTexture: () => JS, createVertexShader: () => qS, getBatchDim: () => Ua, getExtensionOrThrow: () => tc, getFramebufferErrorMessage: () => $$, getMaxTexturesInShader: () => iw, getNumChannels: () => J5, getProgramUniformLocation: () => ow, getProgramUniformLocationOrThrow: () => rw, getRowsCols: () => Ga, getShapeAs3D: () => oc, getTextureShapeFromLogicalShape: () => sw, getWebGLDisjointQueryTimerVersion: () => uw, getWebGLErrorMessage: () => T$, getWebGLMaxTextureSize: () => aw, hasExtension: () => Wr, isCapableOfRenderingToFloatTexture: () => pw, isDownloadFloatTextureEnabled: () => cw, isReshapeFree: () => Bi, isWebGLFenceEnabled: () => lw, isWebGLVersionEnabled: () => Df, linkProgram: () => YS, logShaderSourceAndInfoLog: () => Ef, resetMaxTextureSize: () => r8, resetMaxTexturesInShader: () => o8, unbindColorTextureFromFramebuffer: () => Rf, unbindTextureUnit: () => e8, validateFramebuffer: () => rc, validateProgram: () => kl, validateTextureSize: () => ew }); -var Fu = {}; -var Nf = { alpha: false, antialias: false, premultipliedAlpha: false, preserveDrawingBuffer: false, depth: false, stencil: false, failIfMajorPerformanceCaveat: true }; -function US(r, e) { - Fu[r] = e; +var jE = { kernelName: ji, backendName: "cpu", kernelFunc: n7 }; +var s7 = [C_, _T, w_, S_, AT, I_, v_, k_, N_, T_, __, $_, E_, R_, D_, F_, P_, O_, M_, b_, L_, B_, z_, FT, V_, DT, PT, W_, $T, U_, H_, K_, q_, j_, X_, Y_, Q_, Z_, J_, e$, t$, r$, o$, n$, s$, a$, i$, u$, p$, c$, l$, d$, d_, f$, OT, h$, MT, g$, LT, x$, y$, b$, BT, zT, C$, w$, S$, I$, VT, WT, ET, v$, G_, k$, N$, T$, f_, UT, GT, _$, HT, $$, E$, R$, D$, A$, F$, P$, KT, O$, M$, L$, B$, V$, W$, U$, qT, G$, H$, j$, jT, XT, X$, Y$, Q$, YT, Z$, tE, rE, Bf, oE, h_, ZT, nE, sE, aE, iE, RT, Vl, uE, g_, x_, y_, pE, cE, lE, mE, dE, fE, hE, o_, gE, yE, bE, CE, s_, wE, SE, IE, a_, K$, kE, NE, TE, _E, $E, EE, RE, DE, u_, AE, p_, c_, FE, PE, OE, ME, LE, l_, m$, BE, zE, VE, WE, UE, HE, QT, KE, qE, jE, J$]; +for (let r of s7) + Ya(r); +var _c = {}; +He(_c, { assertNotComplex: () => Ps, bindCanvasToFramebuffer: () => f7, bindColorTextureToFramebuffer: () => jl, bindTextureToProgramUniformSampler: () => SI, bindTextureUnit: () => ZE, bindVertexBufferToProgramAttribute: () => Hf, callAndCheck: () => ce, canBeRepresented: () => cI, createFragmentShader: () => mI, createFramebuffer: () => bI, createProgram: () => dI, createStaticIndexBuffer: () => gI, createStaticVertexBuffer: () => hI, createTexture: () => xI, createVertexShader: () => lI, getBatchDim: () => di, getExtensionOrThrow: () => kc, getFramebufferErrorMessage: () => JE, getMaxTexturesInShader: () => kI, getNumChannels: () => m7, getProgramUniformLocation: () => wI, getProgramUniformLocationOrThrow: () => CI, getRowsCols: () => fi, getShapeAs3D: () => Tc, getTextureShapeFromLogicalShape: () => II, getWebGLDisjointQueryTimerVersion: () => NI, getWebGLErrorMessage: () => QE, getWebGLMaxTextureSize: () => vI, hasExtension: () => Hr, isCapableOfRenderingToFloatTexture: () => TI, isDownloadFloatTextureEnabled: () => _I, isReshapeFree: () => fu, isWebGLFenceEnabled: () => $I, isWebGLVersionEnabled: () => qf, linkProgram: () => fI, logShaderSourceAndInfoLog: () => Gf, resetMaxTextureSize: () => h7, resetMaxTexturesInShader: () => g7, unbindColorTextureFromFramebuffer: () => Kf, unbindTextureUnit: () => d7, validateFramebuffer: () => Nc, validateProgram: () => ql, validateTextureSize: () => yI }); +var dp = {}; +var zf = { alpha: false, antialias: false, premultipliedAlpha: false, preserveDrawingBuffer: false, depth: false, stencil: false, failIfMajorPerformanceCaveat: true }; +function iI(r, e) { + dp[r] = e; } -function zr(r, e) { - if (!(r in Fu) || e != null) { - let o = j5(r, e); +function Gr(r, e) { + if (!(r in dp) || e != null) { + let o = i7(r, e); if (o !== null) - Fu[r] = o; + dp[r] = o; else return console.log("Could not get context for WebGL version", r), null; } - let t10 = Fu[r]; - return t10 == null || t10.isContextLost() ? (delete Fu[r], zr(r)) : (t10.disable(t10.DEPTH_TEST), t10.disable(t10.STENCIL_TEST), t10.disable(t10.BLEND), t10.disable(t10.DITHER), t10.disable(t10.POLYGON_OFFSET_FILL), t10.disable(t10.SAMPLE_COVERAGE), t10.enable(t10.SCISSOR_TEST), t10.enable(t10.CULL_FACE), t10.cullFace(t10.BACK), Fu[r]); + let t10 = dp[r]; + return t10 == null || t10.isContextLost() ? (delete dp[r], Gr(r)) : (t10.disable(t10.DEPTH_TEST), t10.disable(t10.STENCIL_TEST), t10.disable(t10.BLEND), t10.disable(t10.DITHER), t10.disable(t10.POLYGON_OFFSET_FILL), t10.disable(t10.SAMPLE_COVERAGE), t10.enable(t10.SCISSOR_TEST), t10.enable(t10.CULL_FACE), t10.cullFace(t10.BACK), dp[r]); } -function q5(r) { - if (typeof OffscreenCanvas != "undefined" && r === 2) +function a7(r) { + if (!P().getBool("IS_SAFARI") && typeof OffscreenCanvas != "undefined" && r === 2) return new OffscreenCanvas(300, 150); if (typeof document != "undefined") return document.createElement("canvas"); throw new Error("Cannot create a canvas in this context"); } -function j5(r, e) { +function i7(r, e) { if (r !== 1 && r !== 2) throw new Error("Cannot get WebGL rendering context, WebGL is disabled."); - let t10 = e == null ? q5(r) : e; + let t10 = e == null ? a7(r) : e; return t10.addEventListener("webglcontextlost", (o) => { - o.preventDefault(), delete Fu[r]; - }, false), O().getBool("SOFTWARE_WEBGL_ENABLED") && (Nf.failIfMajorPerformanceCaveat = false), r === 1 ? t10.getContext("webgl", Nf) || t10.getContext("experimental-webgl", Nf) : t10.getContext("webgl2", Nf); + o.preventDefault(), delete dp[r]; + }, false), P().getBool("SOFTWARE_WEBGL_ENABLED") && (zf.failIfMajorPerformanceCaveat = false), r === 1 ? t10.getContext("webgl", zf) || t10.getContext("experimental-webgl", zf) : t10.getContext("webgl2", zf); } -var Li; +var du; (function(r) { r[r.DENSE = 0] = "DENSE", r[r.SHARED_BATCH = 1] = "SHARED_BATCH"; -})(Li || (Li = {})); -var ur; +})(du || (du = {})); +var mr; (function(r) { r[r.RENDER = 0] = "RENDER", r[r.UPLOAD = 1] = "UPLOAD", r[r.PIXELS = 2] = "PIXELS", r[r.DOWNLOAD = 3] = "DOWNLOAD"; -})(ur || (ur = {})); -var Zt; +})(mr || (mr = {})); +var er; (function(r) { r[r.UNPACKED_FLOAT16 = 0] = "UNPACKED_FLOAT16", r[r.UNPACKED_FLOAT32 = 1] = "UNPACKED_FLOAT32", r[r.PACKED_4X1_UNSIGNED_BYTE = 2] = "PACKED_4X1_UNSIGNED_BYTE", r[r.PACKED_2X2_FLOAT32 = 3] = "PACKED_2X2_FLOAT32", r[r.PACKED_2X2_FLOAT16 = 4] = "PACKED_2X2_FLOAT16"; -})(Zt || (Zt = {})); -function Ou(r, e) { +})(er || (er = {})); +function fp(r, e) { return [e, r]; } -function k$(r, e) { +function XE(r, e) { return r * e; } -function Il(r) { +function Hl(r) { let e = y.sizeFromShape(r), t10 = Math.ceil(e / 4); return y.sizeToSquarishShape(t10); } -function Qs(r, e) { +function Ea(r, e) { return [Math.max(1, Math.ceil(e / 2)), Math.max(1, Math.ceil(r / 2))]; } -function N$(r, e) { - let [t10, o] = Qs(r, e); +function YE(r, e) { + let [t10, o] = Ea(r, e); return t10 * o * 4; } -function vl(r, e) { +function Kl(r, e) { let t10 = r, o, n, s, a, i, p, u, c, l, m; - return O().getNumber("WEBGL_VERSION") === 2 ? (o = t10.R32F, n = t10.R16F, s = t10.RGBA16F, a = t10.RGBA32F, i = t10.RED, u = 4, c = 1, l = t10.HALF_FLOAT, m = t10.FLOAT, p = t10.RGBA8) : (o = r.RGBA, n = r.RGBA, s = r.RGBA, a = t10.RGBA, i = r.RGBA, u = 4, c = 4, l = e != null ? e.HALF_FLOAT_OES : null, m = r.FLOAT, p = r.RGBA), { internalFormatFloat: o, internalFormatHalfFloat: n, internalFormatPackedHalfFloat: s, internalFormatPackedFloat: a, textureFormatFloat: i, downloadTextureFormat: p, downloadUnpackNumChannels: u, defaultNumChannels: c, textureTypeHalfFloat: l, textureTypeFloat: m }; + return P().getNumber("WEBGL_VERSION") === 2 ? (o = t10.R32F, n = t10.R16F, s = t10.RGBA16F, a = t10.RGBA32F, i = t10.RED, u = 4, c = 1, l = t10.HALF_FLOAT, m = t10.FLOAT, p = t10.RGBA8) : (o = r.RGBA, n = r.RGBA, s = r.RGBA, a = t10.RGBA, i = r.RGBA, u = 4, c = 4, l = e != null ? e.HALF_FLOAT_OES : null, m = r.FLOAT, p = r.RGBA), { internalFormatFloat: o, internalFormatHalfFloat: n, internalFormatPackedHalfFloat: s, internalFormatPackedFloat: a, textureFormatFloat: i, downloadTextureFormat: p, downloadUnpackNumChannels: u, defaultNumChannels: c, textureTypeHalfFloat: l, textureTypeFloat: m }; } -function pe(r, e) { +function ce(r, e) { let t10 = e(); - return O().getBool("DEBUG") && X5(r), t10; + return P().getBool("DEBUG") && u7(r), t10; } -function X5(r) { +function u7(r) { let e = r.getError(); if (e !== r.NO_ERROR) - throw new Error("WebGL Error: " + T$(r, e)); + throw new Error("WebGL Error: " + QE(r, e)); } -var Y5 = 596e-10; -var Q5 = 65504; -function KS(r) { - return !!(O().getBool("WEBGL_RENDER_FLOAT32_ENABLED") || r === 0 || Y5 < Math.abs(r) && Math.abs(r) < Q5); +var p7 = 596e-10; +var c7 = 65504; +function cI(r) { + return !!(P().getBool("WEBGL_RENDER_FLOAT32_ENABLED") || r === 0 || p7 < Math.abs(r) && Math.abs(r) < c7); } -function T$(r, e) { +function QE(r, e) { switch (e) { case r.NO_ERROR: return "NO_ERROR"; @@ -14953,26 +15321,26 @@ function T$(r, e) { return `Unknown error code ${e}`; } } -function tc(r, e) { - return Wa(r, () => r.getExtension(e), 'Extension "' + e + '" not supported on this browser.'); +function kc(r, e) { + return mi(r, () => r.getExtension(e), 'Extension "' + e + '" not supported on this browser.'); } -function qS(r, e) { - let t10 = Wa(r, () => r.createShader(r.VERTEX_SHADER), "Unable to create vertex WebGLShader."); - if (pe(r, () => r.shaderSource(t10, e)), pe(r, () => r.compileShader(t10)), r.getShaderParameter(t10, r.COMPILE_STATUS) === false) +function lI(r, e) { + let t10 = mi(r, () => r.createShader(r.VERTEX_SHADER), "Unable to create vertex WebGLShader."); + if (ce(r, () => r.shaderSource(t10, e)), ce(r, () => r.compileShader(t10)), r.getShaderParameter(t10, r.COMPILE_STATUS) === false) throw console.log(r.getShaderInfoLog(t10)), new Error("Failed to compile vertex shader."); return t10; } -function jS(r, e) { - let t10 = Wa(r, () => r.createShader(r.FRAGMENT_SHADER), "Unable to create fragment WebGLShader."); - if (pe(r, () => r.shaderSource(t10, e)), pe(r, () => r.compileShader(t10)), O().get("ENGINE_COMPILE_ONLY")) +function mI(r, e) { + let t10 = mi(r, () => r.createShader(r.FRAGMENT_SHADER), "Unable to create fragment WebGLShader."); + if (ce(r, () => r.shaderSource(t10, e)), ce(r, () => r.compileShader(t10)), P().get("ENGINE_COMPILE_ONLY")) return t10; if (r.getShaderParameter(t10, r.COMPILE_STATUS) === false) - throw Ef(e, r.getShaderInfoLog(t10)), new Error("Failed to compile fragment shader."); + throw Gf(e, r.getShaderInfoLog(t10)), new Error("Failed to compile fragment shader."); return t10; } -var Z5 = /ERROR: [0-9]+:([0-9]+):/g; -function Ef(r, e) { - let t10 = Z5.exec(e); +var l7 = /ERROR: [0-9]+:([0-9]+):/g; +function Gf(r, e) { + let t10 = l7.exec(e); if (t10 == null) { console.log(`Couldn't parse line number in error: ${e}`), console.log(r); return; @@ -14987,33 +15355,33 @@ function Ef(r, e) { `)[0]), console.log(`%c ${y.rightPad(u[0], i)}`, "border:1px solid red; background-color:#e3d2d2; color:#a61717"), console.log(c.join(` `)); } -function XS(r) { - return Wa(r, () => r.createProgram(), "Unable to create WebGLProgram."); +function dI(r) { + return mi(r, () => r.createProgram(), "Unable to create WebGLProgram."); } -function YS(r, e) { - if (pe(r, () => r.linkProgram(e)), !O().get("ENGINE_COMPILE_ONLY") && r.getProgramParameter(e, r.LINK_STATUS) === false) +function fI(r, e) { + if (ce(r, () => r.linkProgram(e)), !P().get("ENGINE_COMPILE_ONLY") && r.getProgramParameter(e, r.LINK_STATUS) === false) throw console.log(r.getProgramInfoLog(e)), new Error("Failed to link vertex and fragment shaders."); } -function kl(r, e) { - if (pe(r, () => r.validateProgram(e)), r.getProgramParameter(e, r.VALIDATE_STATUS) === false) +function ql(r, e) { + if (ce(r, () => r.validateProgram(e)), r.getProgramParameter(e, r.VALIDATE_STATUS) === false) throw console.log(r.getProgramInfoLog(e)), new Error("Shader program validation failed."); } -function QS(r, e) { - let t10 = Wa(r, () => r.createBuffer(), "Unable to create WebGLBuffer"); - return pe(r, () => r.bindBuffer(r.ARRAY_BUFFER, t10)), pe(r, () => r.bufferData(r.ARRAY_BUFFER, e, r.STATIC_DRAW)), t10; +function hI(r, e) { + let t10 = mi(r, () => r.createBuffer(), "Unable to create WebGLBuffer"); + return ce(r, () => r.bindBuffer(r.ARRAY_BUFFER, t10)), ce(r, () => r.bufferData(r.ARRAY_BUFFER, e, r.STATIC_DRAW)), t10; } -function ZS(r, e) { - let t10 = Wa(r, () => r.createBuffer(), "Unable to create WebGLBuffer"); - return pe(r, () => r.bindBuffer(r.ELEMENT_ARRAY_BUFFER, t10)), pe(r, () => r.bufferData(r.ELEMENT_ARRAY_BUFFER, e, r.STATIC_DRAW)), t10; +function gI(r, e) { + let t10 = mi(r, () => r.createBuffer(), "Unable to create WebGLBuffer"); + return ce(r, () => r.bindBuffer(r.ELEMENT_ARRAY_BUFFER, t10)), ce(r, () => r.bufferData(r.ELEMENT_ARRAY_BUFFER, e, r.STATIC_DRAW)), t10; } -function J5() { - return O().getNumber("WEBGL_VERSION") === 2 ? 1 : 4; +function m7() { + return P().getNumber("WEBGL_VERSION") === 2 ? 1 : 4; } -function JS(r) { - return Wa(r, () => r.createTexture(), "Unable to create WebGLTexture."); +function xI(r) { + return mi(r, () => r.createTexture(), "Unable to create WebGLTexture."); } -function ew(r, e) { - let t10 = O().getNumber("WEBGL_MAX_TEXTURE_SIZE"); +function yI(r, e) { + let t10 = P().getNumber("WEBGL_MAX_TEXTURE_SIZE"); if (r <= 0 || e <= 0) { let o = `[${r}x${e}]`; throw new Error("Requested texture size " + o + " is invalid."); @@ -15023,43 +15391,43 @@ function ew(r, e) { throw new Error("Requested texture size " + o + " greater than WebGL maximum on this browser / GPU " + n + "."); } } -function tw(r) { - return Wa(r, () => r.createFramebuffer(), "Unable to create WebGLFramebuffer."); +function bI(r) { + return mi(r, () => r.createFramebuffer(), "Unable to create WebGLFramebuffer."); } -function Af(r, e, t10, o, n, s, a) { +function Hf(r, e, t10, o, n, s, a) { let i = r.getAttribLocation(e, t10); - return i === -1 ? false : (pe(r, () => r.bindBuffer(r.ARRAY_BUFFER, o)), pe(r, () => r.vertexAttribPointer(i, n, r.FLOAT, false, s, a)), pe(r, () => r.enableVertexAttribArray(i)), true); + return i === -1 ? false : (ce(r, () => r.bindBuffer(r.ARRAY_BUFFER, o)), ce(r, () => r.vertexAttribPointer(i, n, r.FLOAT, false, s, a)), ce(r, () => r.enableVertexAttribArray(i)), true); } -function _$(r, e, t10) { - E$(r, t10), pe(r, () => r.activeTexture(r.TEXTURE0 + t10)), pe(r, () => r.bindTexture(r.TEXTURE_2D, e)); +function ZE(r, e, t10) { + eR(r, t10), ce(r, () => r.activeTexture(r.TEXTURE0 + t10)), ce(r, () => r.bindTexture(r.TEXTURE_2D, e)); } -function e8(r, e) { - E$(r, e), pe(r, () => r.activeTexture(r.TEXTURE0 + e)), pe(r, () => r.bindTexture(r.TEXTURE_2D, null)); +function d7(r, e) { + eR(r, e), ce(r, () => r.activeTexture(r.TEXTURE0 + e)), ce(r, () => r.bindTexture(r.TEXTURE_2D, null)); } -function rw(r, e, t10) { - return Wa(r, () => r.getUniformLocation(e, t10), 'uniform "' + t10 + '" not present in program.'); +function CI(r, e, t10) { + return mi(r, () => r.getUniformLocation(e, t10), 'uniform "' + t10 + '" not present in program.'); } -function ow(r, e, t10) { +function wI(r, e, t10) { return r.getUniformLocation(e, t10); } -function nw(r, e, t10, o) { - pe(r, () => _$(r, e, o)), pe(r, () => r.uniform1i(t10, o)); +function SI(r, e, t10, o) { + ce(r, () => ZE(r, e, o)), ce(r, () => r.uniform1i(t10, o)); } -function t8(r) { - pe(r, () => r.bindFramebuffer(r.FRAMEBUFFER, null)), pe(r, () => r.viewport(0, 0, r.canvas.width, r.canvas.height)), pe(r, () => r.scissor(0, 0, r.canvas.width, r.canvas.height)); +function f7(r) { + ce(r, () => r.bindFramebuffer(r.FRAMEBUFFER, null)), ce(r, () => r.viewport(0, 0, r.canvas.width, r.canvas.height)), ce(r, () => r.scissor(0, 0, r.canvas.width, r.canvas.height)); } -function Nl(r, e, t10) { - pe(r, () => r.bindFramebuffer(r.FRAMEBUFFER, t10)), pe(r, () => r.framebufferTexture2D(r.FRAMEBUFFER, r.COLOR_ATTACHMENT0, r.TEXTURE_2D, e, 0)); +function jl(r, e, t10) { + ce(r, () => r.bindFramebuffer(r.FRAMEBUFFER, t10)), ce(r, () => r.framebufferTexture2D(r.FRAMEBUFFER, r.COLOR_ATTACHMENT0, r.TEXTURE_2D, e, 0)); } -function Rf(r, e) { - pe(r, () => r.bindFramebuffer(r.FRAMEBUFFER, e)), pe(r, () => r.framebufferTexture2D(r.FRAMEBUFFER, r.COLOR_ATTACHMENT0, r.TEXTURE_2D, null, 0)); +function Kf(r, e) { + ce(r, () => r.bindFramebuffer(r.FRAMEBUFFER, e)), ce(r, () => r.framebufferTexture2D(r.FRAMEBUFFER, r.COLOR_ATTACHMENT0, r.TEXTURE_2D, null, 0)); } -function rc(r) { +function Nc(r) { let e = r.checkFramebufferStatus(r.FRAMEBUFFER); if (e !== r.FRAMEBUFFER_COMPLETE) - throw new Error("Error binding framebuffer: " + $$(r, e)); + throw new Error("Error binding framebuffer: " + JE(r, e)); } -function $$(r, e) { +function JE(r, e) { switch (e) { case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT: return "FRAMEBUFFER_INCOMPLETE_ATTACHMENT"; @@ -15073,130 +15441,130 @@ function $$(r, e) { return `unknown error ${e}`; } } -function Wa(r, e, t10) { - let o = pe(r, () => e()); +function mi(r, e, t10) { + let o = ce(r, () => e()); if (o == null) throw new Error(t10); return o; } -function E$(r, e) { +function eR(r, e) { let t10 = r.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1, o = e + r.TEXTURE0; if (o < r.TEXTURE0 || o > t10) { let n = `[gl.TEXTURE0, gl.TEXTURE${t10}]`; throw new Error(`textureUnit must be in ${n}.`); } } -function Ua(r, e = 2) { +function di(r, e = 2) { return y.sizeFromShape(r.slice(0, r.length - e)); } -function Ga(r) { +function fi(r) { if (r.length === 0) throw Error("Cannot get rows and columns of an empty shape array."); return [r.length > 1 ? r[r.length - 2] : 1, r[r.length - 1]]; } -function oc(r) { +function Tc(r) { let e = [1, 1, 1]; - return r.length === 0 || r.length === 1 && r[0] === 1 || (e = [Ua(r), ...Ga(r)]), e; + return r.length === 0 || r.length === 1 && r[0] === 1 || (e = [di(r), ...fi(r)]), e; } -function sw(r, e = false) { - let t10 = O().getNumber("WEBGL_MAX_TEXTURE_SIZE"), o = O().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE"); - o === 1 / 0 && O().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE") && (o = t10 / 2), e && (t10 = t10 * 2, o = o * 2, r = r.map((i, p) => p >= r.length - 2 ? y.nearestLargerEven(r[p]) : r[p]), r.length === 1 && (r = [2, r[0]])), r.length !== 2 && (r = y.squeezeShape(r).newShape); +function II(r, e = false) { + let t10 = P().getNumber("WEBGL_MAX_TEXTURE_SIZE"), o = P().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE"); + o === 1 / 0 && P().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE") && (o = t10 / 2), e && (t10 = t10 * 2, o = o * 2, r = r.map((i, p) => p >= r.length - 2 ? y.nearestLargerEven(r[p]) : r[p]), r.length === 1 && (r = [2, r[0]])), r.length !== 2 && (r = y.squeezeShape(r).newShape); let n = y.sizeFromShape(r), s = null; r.length <= 1 && n <= t10 ? s = [1, n] : r.length === 2 && r[0] <= t10 && r[1] <= t10 ? s = r : r.length === 3 && r[0] * r[1] <= t10 && r[2] <= t10 ? s = [r[0] * r[1], r[2]] : r.length === 3 && r[0] <= t10 && r[1] * r[2] <= t10 ? s = [r[0], r[1] * r[2]] : r.length === 4 && r[0] * r[1] * r[2] <= t10 && r[3] <= t10 ? s = [r[0] * r[1] * r[2], r[3]] : r.length === 4 && r[0] <= t10 && r[1] * r[2] * r[3] <= t10 && (s = [r[0], r[1] * r[2] * r[3]]); let a = s != null && Math.max(...s) > o && Math.min(...s) <= (e ? 2 : 1) && Math.min(...s) > 0; if (s == null || a) if (e) { - let i = Ua(r), p = 2, u = 2; - r.length && ([p, u] = Ga(r)), n = i * (p / 2) * (u / 2), s = y.sizeToSquarishShape(n).map((c) => c * 2); + let i = di(r), p = 2, u = 2; + r.length && ([p, u] = fi(r)), n = i * (p / 2) * (u / 2), s = y.sizeToSquarishShape(n).map((c) => c * 2); } else s = y.sizeToSquarishShape(n); return s; } -function Tf(r) { +function Vf(r) { return r % 2 === 0; } -function Bi(r, e) { +function fu(r, e) { if (r = r.slice(-2), e = e.slice(-2), y.arraysEqual(r, e) || !r.length || !e.length || r[0] === 0 || r[1] === 0 || e[0] === 0 || e[1] === 0) return true; if (r.length !== e.length) { - let t10 = r.slice(-1)[0], o = e.slice(-1)[0]; - if (t10 === o || Tf(t10) && Tf(o) && (r[0] === 1 || e[0] === 1)) + let t10 = r[r.length - 1], o = e[e.length - 1]; + if (t10 === o || Vf(t10) && Vf(o) && (r[0] === 1 || e[0] === 1)) return true; } - return r[1] === e[1] && Tf(r[0]) && Tf(e[0]); + return r[1] === e[1] && Vf(r[0]) && Vf(e[0]); } -var _f; -var $f; -function aw(r) { - if (_f == null) { - let e = zr(r); - _f = e.getParameter(e.MAX_TEXTURE_SIZE); +var Wf; +var Uf; +function vI(r) { + if (Wf == null) { + let e = Gr(r); + Wf = e.getParameter(e.MAX_TEXTURE_SIZE); } - return _f; + return Wf; } -function r8() { - _f = null; +function h7() { + Wf = null; } -function o8() { - $f = null; +function g7() { + Uf = null; } -function iw(r) { - if ($f == null) { - let e = zr(r); - $f = e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS); +function kI(r) { + if (Uf == null) { + let e = Gr(r); + Uf = e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS); } - return Math.min(16, $f); + return Math.min(16, Uf); } -function uw(r) { +function NI(r) { if (r === 0) return 0; - let e, t10 = zr(r); - return Wr(t10, "EXT_disjoint_timer_query_webgl2") && r === 2 ? e = 2 : Wr(t10, "EXT_disjoint_timer_query") ? e = 1 : e = 0, e; + let e, t10 = Gr(r); + return Hr(t10, "EXT_disjoint_timer_query_webgl2") && r === 2 ? e = 2 : Hr(t10, "EXT_disjoint_timer_query") ? e = 1 : e = 0, e; } -function Wr(r, e) { +function Hr(r, e) { return r.getExtension(e) != null; } -function Df(r) { +function qf(r) { try { - if (zr(r) != null) + if (Gr(r) != null) return true; } catch (e) { return console.log("Error when getting WebGL context: ", e), false; } return false; } -function pw(r) { +function TI(r) { if (r === 0) return false; - let e = zr(r); + let e = Gr(r); if (r === 1) { - if (!Wr(e, "OES_texture_float")) + if (!Hr(e, "OES_texture_float")) return false; - } else if (!Wr(e, "EXT_color_buffer_float")) + } else if (!Hr(e, "EXT_color_buffer_float")) return false; - return HS(e); + return pI(e); } -function cw(r) { +function _I(r) { if (r === 0) return false; - let e = zr(r); + let e = Gr(r); if (r === 1) { - if (!Wr(e, "OES_texture_float") || !Wr(e, "WEBGL_color_buffer_float")) + if (!Hr(e, "OES_texture_float") || !Hr(e, "WEBGL_color_buffer_float")) return false; } else { - if (Wr(e, "EXT_color_buffer_float")) - return HS(e); + if (Hr(e, "EXT_color_buffer_float")) + return pI(e); let o = "EXT_color_buffer_half_float"; - if (Wr(e, o)) { + if (Hr(e, o)) { let n = e.getExtension(o); - return n8(e, n); + return x7(e, n); } return false; } - return HS(e); + return pI(e); } -function HS(r) { - let e = vl(r), t10 = r.createTexture(); +function pI(r) { + let e = Kl(r), t10 = r.createTexture(); r.bindTexture(r.TEXTURE_2D, t10); let o = 1, n = 1; r.texImage2D(r.TEXTURE_2D, 0, e.internalFormatFloat, o, n, 0, e.textureFormatFloat, e.textureTypeFloat, null); @@ -15205,8 +15573,8 @@ function HS(r) { let a = r.checkFramebufferStatus(r.FRAMEBUFFER) === r.FRAMEBUFFER_COMPLETE; return r.bindTexture(r.TEXTURE_2D, null), r.bindFramebuffer(r.FRAMEBUFFER, null), r.deleteTexture(t10), r.deleteFramebuffer(s), a; } -function n8(r, e) { - let t10 = vl(r, e), o = r.createTexture(); +function x7(r, e) { + let t10 = Kl(r, e), o = r.createTexture(); r.bindTexture(r.TEXTURE_2D, o); let n = 1, s = 1; r.texImage2D(r.TEXTURE_2D, 0, t10.internalFormatHalfFloat, n, s, 0, t10.textureFormatFloat, t10.textureTypeHalfFloat, null); @@ -15215,17 +15583,17 @@ function n8(r, e) { let i = r.checkFramebufferStatus(r.FRAMEBUFFER) === r.FRAMEBUFFER_COMPLETE; return r.bindTexture(r.TEXTURE_2D, null), r.bindFramebuffer(r.FRAMEBUFFER, null), r.deleteTexture(o), r.deleteFramebuffer(a), i; } -function lw(r) { - return r !== 2 ? false : zr(r).fenceSync != null; +function $I(r) { + return r !== 2 ? false : Gr(r).fenceSync != null; } -function us(r, e) { +function Ps(r, e) { Array.isArray(r) || (r = [r]), r.forEach((t10) => { t10 != null && y.assert(t10.dtype !== "complex64", () => `${e} does not support complex64 tensors in the WebGL backend.`); }); } -var Se = O(); +var Se = P(); Se.registerFlag("HAS_WEBGL", () => Se.getNumber("WEBGL_VERSION") > 0); -Se.registerFlag("WEBGL_VERSION", () => Df(2) ? 2 : Df(1) ? 1 : 0); +Se.registerFlag("WEBGL_VERSION", () => qf(2) ? 2 : qf(1) ? 1 : 0); Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS", () => false); Se.registerFlag("WEBGL_BUFFER_SUPPORTED", () => Se.get("WEBGL_VERSION") === 2); Se.registerFlag("WEBGL_CPU_FORWARD", () => true); @@ -15241,23 +15609,23 @@ Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS", () => Se.getBool("WEBGL_PACK")); Se.registerFlag("WEBGL_PACK_REDUCE", () => Se.getBool("WEBGL_PACK")); Se.registerFlag("WEBGL_LAZILY_UNPACK", () => Se.getBool("WEBGL_PACK")); Se.registerFlag("WEBGL_CONV_IM2COL", () => Se.getBool("WEBGL_PACK")); -Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE", () => aw(Se.getNumber("WEBGL_VERSION"))); -Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER", () => iw(Se.getNumber("WEBGL_VERSION"))); +Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE", () => vI(Se.getNumber("WEBGL_VERSION"))); +Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER", () => kI(Se.getNumber("WEBGL_VERSION"))); Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION", () => { let r = Se.getNumber("WEBGL_VERSION"); - return r === 0 ? 0 : uw(r); + return r === 0 ? 0 : NI(r); }); -Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE", () => Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 && !ki.isMobile()); -Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE", () => pw(Se.getNumber("WEBGL_VERSION"))); +Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE", () => Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 && !Zi.isMobile()); +Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE", () => TI(Se.getNumber("WEBGL_VERSION"))); Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED", () => Se.getBool("WEBGL_FORCE_F16_TEXTURES") ? false : Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")); -Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED", () => cw(Se.getNumber("WEBGL_VERSION"))); -Se.registerFlag("WEBGL_FENCE_API_ENABLED", () => lw(Se.getNumber("WEBGL_VERSION"))); +Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED", () => _I(Se.getNumber("WEBGL_VERSION"))); +Se.registerFlag("WEBGL_FENCE_API_ENABLED", () => $I(Se.getNumber("WEBGL_VERSION"))); Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM", () => Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED") ? 4 : 0); Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD", () => -1, (r) => { if (r < 0 && r !== -1) throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`); }); -Se.registerFlag("WEBGL_FLUSH_THRESHOLD", () => ki.isMobile() ? 1 : -1, (r) => { +Se.registerFlag("WEBGL_FLUSH_THRESHOLD", () => Zi.isMobile() ? 1 : -1, (r) => { if (r < 0 && r !== -1) throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`); }); @@ -15271,9 +15639,9 @@ Se.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE", () => 1 / 0); Se.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE", () => false); Se.registerFlag("WEBGL2_ISNAN_CUSTOM", () => false); Se.registerFlag("ENGINE_COMPILE_ONLY", () => false); -function wt() { +function It() { let r, e, t10, o, n, s, a, i, p, u; - return O().getNumber("WEBGL_VERSION") === 2 ? (r = "#version 300 es", e = "in", t10 = "out", o = "in", n = "texture", s = "outputColor", a = "out vec4 outputColor;", i = O().getBool("WEBGL2_ISNAN_CUSTOM") ? ` + return P().getNumber("WEBGL_VERSION") === 2 ? (r = "#version 300 es", e = "in", t10 = "out", o = "in", n = "texture", s = "outputColor", a = "out vec4 outputColor;", i = P().getBool("WEBGL2_ISNAN_CUSTOM") ? ` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -15321,35 +15689,35 @@ function wt() { } `), { version: r, attribute: e, varyingVs: t10, varyingFs: o, texture2D: n, output: s, defineOutput: a, defineSpecialNaN: i, defineSpecialInf: p, defineRound: u }; } -function ps(r, e, t10 = "index") { +function Os(r, e, t10 = "index") { let o = y.computeStrides(e); return o.map((n, s) => { let a = `int ${r[s]} = ${t10} / ${n}`, i = s === o.length - 1 ? `int ${r[s + 1]} = ${t10} - ${r[s]} * ${n}` : `index -= ${r[s]} * ${n}`; return `${a}; ${i};`; }).join(""); } -function Pu(r, e, t10 = "index") { +function hp(r, e, t10 = "index") { let o = y.computeStrides(e); return o.map((n, s) => { let a = `int ${r[s]} = ${t10} / outShapeStrides[${s}]`, i = s === o.length - 1 ? `int ${r[s + 1]} = ${t10} - ${r[s]} * outShapeStrides[${s}]` : `index -= ${r[s]} * outShapeStrides[${s}]`; return `${a}; ${i};`; }).join(""); } -function s8(r, e) { +function y7(r, e) { let t10 = r.length, o = r.map((s) => `${e}[${s}]`), n = new Array(t10 - 1); n[t10 - 2] = o[t10 - 1]; for (let s = t10 - 3; s >= 0; --s) n[s] = `(${n[s + 1]} * ${o[s + 1]})`; return n; } -function A$(r, e, t10 = "index") { - let o = r.map((s, a) => a), n = s8(o, e); +function tR(r, e, t10 = "index") { + let o = r.map((s, a) => a), n = y7(o, e); return n.map((s, a) => { let i = `int ${r[a]} = ${t10} / ${n[a]}`, p = a === n.length - 1 ? `int ${r[a + 1]} = ${t10} - ${r[a]} * ${n[a]}` : `index -= ${r[a]} * ${n[a]}`; return `${i}; ${p};`; }).join(""); } -function sc(r) { +function $c(r) { let e = y.computeStrides(r).map((t10) => t10.toString()); return ` int getFlatIndex(ivec3 coords) { @@ -15357,14 +15725,14 @@ function sc(r) { } `; } -function ac() { +function Ec() { return ` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } `; } -var Ff = ` +var jf = ` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -15404,13 +15772,13 @@ var Ff = ` return c / 255.0; } `; -var { getBroadcastDims: R$ } = S; -function D$(r, e, t10) { +var { getBroadcastDims: rR } = C; +function oR(r, e, t10) { let o = []; if (r.forEach((d) => { let f = y.sizeFromShape(d.shapeInfo.logicalShape); if (d.shapeInfo.isUniform ? o.push(`uniform float ${d.name}${f > 1 ? `[${f}]` : ""};`) : (o.push(`uniform sampler2D ${d.name};`), o.push(`uniform int offset${d.name};`)), t10.enableShapeUniforms) { - let { uniformShape: h } = Of(t10.packedInputs, d.shapeInfo.logicalShape, d.shapeInfo.texShape); + let { uniformShape: h } = Xf(t10.packedInputs, d.shapeInfo.logicalShape, d.shapeInfo.texShape); switch (h.length) { case 1: o.push(`uniform int ${d.name}Shape;`); @@ -15452,108 +15820,108 @@ function D$(r, e, t10) { o.push(`uniform ${d.type} ${d.name}${d.arrayIndex ? `[${d.arrayIndex}]` : ""};`); }); let n = o.join(` -`), s = r.map((d) => a8(d, e, t10.packedInputs, t10.enableShapeUniforms)).join(` -`), a = e.texShape, i = wt(), p = p8(i), u, c, l = m8(i); - return e.isPacked ? (u = i8(e.logicalShape, a, t10.enableShapeUniforms), c = l8(i)) : (u = u8(e.logicalShape, a, t10.enableShapeUniforms), c = c8(i)), t10.packedInputs && (l += g8), [l, p, c, n, u, s, t10.userCode].join(` +`), s = r.map((d) => b7(d, e, t10.packedInputs, t10.enableShapeUniforms)).join(` +`), a = e.texShape, i = It(), p = S7(i), u, c, l = k7(i); + return e.isPacked ? (u = C7(e.logicalShape, a, t10.enableShapeUniforms), c = v7(i)) : (u = w7(e.logicalShape, a, t10.enableShapeUniforms), c = I7(i)), t10.packedInputs && (l += $7), [l, p, c, n, u, s, t10.userCode].join(` `); } -function uc(r, e = false) { +function Dc(r, e = false) { let t10 = r.shapeInfo.logicalShape; switch (t10.length) { case 0: - return _8(r, e); + return V7(r, e); case 1: - return E8(r, e); + return U7(r, e); case 2: - return R8(r, e); + return H7(r, e); case 3: - return F8(r, e); + return q7(r, e); case 4: - return P8(r, e); + return X7(r, e); case 5: - return M8(r); + return Y7(r); case 6: - return L8(r); + return Q7(r); default: throw new Error(`${t10.length}-D input sampling is not yet supported`); } } -function F$(r, e) { +function nR(r, e) { switch (r.shapeInfo.logicalShape.length) { case 0: - return T8(r); + return z7(r); case 1: - return $8(r, e); + return W7(r, e); case 2: - return A8(r, e); + return G7(r, e); case 3: - return D8(r, e); + return K7(r, e); default: - return O8(r, e); + return j7(r, e); } } -function a8(r, e, t10 = false, o) { +function b7(r, e, t10 = false, o) { let n = ""; - t10 ? n += F$(r, o) : n += uc(r, o); + t10 ? n += nR(r, o) : n += Dc(r, o); let s = r.shapeInfo.logicalShape, a = e.logicalShape; - return s.length <= a.length && (t10 ? n += B8(r, e) : n += V8(r, e)), n; + return s.length <= a.length && (t10 ? n += Z7(r, e) : n += J7(r, e)), n; } -function i8(r, e, t10) { +function C7(r, e, t10) { switch (r.length) { case 0: - return O$(); + return sR(); case 1: - return x8(r, e, t10); + return E7(r, e, t10); case 2: - return k8(r, e, t10); + return L7(r, e, t10); case 3: - return b8(r, e, t10); + return D7(r, e, t10); default: - return S8(r, e, t10); + return F7(r, e, t10); } } -function u8(r, e, t10) { +function w7(r, e, t10) { switch (r.length) { case 0: - return O$(); + return sR(); case 1: - return y8(r, e, t10); + return R7(r, e, t10); case 2: - return N8(r, e, t10); + return B7(r, e, t10); case 3: - return C8(r, e, t10); + return A7(r, e, t10); case 4: - return w8(r, e, t10); + return P7(r, e, t10); case 5: - return I8(r, e); + return O7(r, e); case 6: - return v8(r, e); + return M7(r, e); default: throw new Error(`${r.length}-D output sampling is not yet supported`); } } -function p8(r) { +function S7(r) { return ` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${r.texture2D}(textureSampler, uv).r; } `; } -function c8(r) { +function I7(r) { return ` void setOutput(float val) { ${r.output} = vec4(val, 0, 0, 0); } `; } -function l8(r) { +function v7(r) { return ` void setOutput(vec4 val) { ${r.output} = val; } `; } -function m8(r) { +function k7(r) { return `${r.version} precision highp float; precision highp int; @@ -15609,12 +15977,12 @@ function m8(r) { return fract((p3.x + p3.y) * p3.z); } - ${d8} - ${f8} - ${h8} + ${N7} + ${T7} + ${_7} `; } -var d8 = ` +var N7 = ` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -15627,7 +15995,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `; -var f8 = ` +var T7 = ` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -15636,7 +16004,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `; -var h8 = ` +var _7 = ` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -15646,7 +16014,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `; -var g8 = ` +var $7 = ` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -15658,14 +16026,14 @@ var g8 = ` return modCoord == 0. ? frag.r : frag.g; } `; -function O$() { +function sR() { return ` int getOutputCoords() { return 0; } `; } -function x8(r, e, t10) { +function E7(r, e, t10) { let o = [Math.ceil(e[0] / 2), Math.ceil(e[1] / 2)]; return o[0] === 1 ? t10 ? ` int getOutputCoords() { @@ -15698,7 +16066,7 @@ function x8(r, e, t10) { } `; } -function y8(r, e, t10) { +function R7(r, e, t10) { return e[0] === 1 ? t10 ? ` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); @@ -15729,7 +16097,7 @@ function y8(r, e, t10) { } `; } -function b8(r, e, t10) { +function D7(r, e, t10) { if (t10) return ` ivec3 getOutputCoords() { @@ -15766,18 +16134,18 @@ function b8(r, e, t10) { } `; } -function C8(r, e, t10) { +function A7(r, e, t10) { if (t10) return ` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Pu(["r", "c", "d"], r)} + ${hp(["r", "c", "d"], r)} return ivec3(r, c, d); } `; - let o = ps(["r", "c", "d"], r); + let o = Os(["r", "c", "d"], r); return ` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * @@ -15788,7 +16156,7 @@ function C8(r, e, t10) { } `; } -function S8(r, e, t10) { +function F7(r, e, t10) { if (t10) return ` ivec4 getOutputCoords() { @@ -15837,18 +16205,18 @@ function S8(r, e, t10) { } `; } -function w8(r, e, t10) { +function P7(r, e, t10) { if (t10) return ` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Pu(["r", "c", "d", "d2"], r)} + ${hp(["r", "c", "d", "d2"], r)} return ivec4(r, c, d, d2); } `; - let o = ps(["r", "c", "d", "d2"], r); + let o = Os(["r", "c", "d", "d2"], r); return ` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * @@ -15859,8 +16227,8 @@ function w8(r, e, t10) { } `; } -function I8(r, e) { - let t10 = ps(["r", "c", "d", "d2", "d3"], r); +function O7(r, e) { + let t10 = Os(["r", "c", "d", "d2", "d3"], r); return ` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${e[0]}, @@ -15875,8 +16243,8 @@ function I8(r, e) { } `; } -function v8(r, e) { - let t10 = ps(["r", "c", "d", "d2", "d3", "d4"], r); +function M7(r, e) { + let t10 = Os(["r", "c", "d", "d2", "d3", "d4"], r); return ` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * @@ -15890,7 +16258,7 @@ function v8(r, e) { } `; } -function k8(r, e, t10) { +function L7(r, e, t10) { let o = [Math.ceil(e[0] / 2), Math.ceil(e[1] / 2)]; if (y.arraysEqual(r, e)) return t10 ? ` @@ -15930,7 +16298,7 @@ function k8(r, e, t10) { } `; } -function N8(r, e, t10) { +function B7(r, e, t10) { return y.arraysEqual(r, e) ? t10 ? ` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); @@ -15987,18 +16355,18 @@ function N8(r, e, t10) { } `; } -function Mu(r) { +function gp(r) { return `offset${r}`; } -function T8(r) { - let e = r.name, t10 = "get" + e.charAt(0).toUpperCase() + e.slice(1), o = wt(); +function z7(r) { + let e = r.name, t10 = "get" + e.charAt(0).toUpperCase() + e.slice(1), o = It(); return ` vec4 ${t10}() { return ${o.texture2D}(${e}, halfCR); } `; } -function _8(r, e) { +function V7(r, e) { let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1); if (r.shapeInfo.isUniform) return `float ${o}() {return ${t10};}`; @@ -16009,7 +16377,7 @@ function _8(r, e) { return sampleTexture(${t10}, halfCR); } `; - let a = Mu(t10); + let a = gp(t10); if (e) return ` float ${o}() { @@ -16025,8 +16393,8 @@ function _8(r, e) { } `; } -function $8(r, e) { - let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), n = r.shapeInfo.texShape, s = wt(); +function W7(r, e) { + let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), n = r.shapeInfo.texShape, s = It(); if (e) return ` vec4 ${o}(int index) { @@ -16045,12 +16413,12 @@ function $8(r, e) { } `; } -function E8(r, e) { +function U7(r, e) { let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1); if (r.shapeInfo.isUniform) return ` float ${o}(int index) { - ${pc(r)} + ${Ac(r)} } `; let n = r.shapeInfo.texShape, s = n[0], a = n[1]; @@ -16060,7 +16428,7 @@ function E8(r, e) { return sampleTexture(${t10}, halfCR); } `; - let i = Mu(t10); + let i = gp(t10); return a === 1 ? e ? ` float ${o}(int index) { vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / float(${t10}TexShape[0])); @@ -16093,8 +16461,8 @@ function E8(r, e) { } `; } -function A8(r, e) { - let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = r.shapeInfo.texShape, a = s[0], i = s[1], p = wt(); +function G7(r, e) { + let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = r.shapeInfo.texShape, a = s[0], i = s[1], p = It(); if (s != null && y.arraysEqual(t10, s)) return e ? ` vec4 ${n}(int row, int col) { @@ -16126,7 +16494,7 @@ function A8(r, e) { } `; } -function R8(r, e) { +function H7(r, e) { let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = r.shapeInfo.texShape; if (s != null && y.arraysEqual(t10, s)) { if (e) @@ -16146,11 +16514,11 @@ function R8(r, e) { } let { newShape: a, keptDims: i } = y.squeezeShape(t10), p = a; if (p.length < t10.length) { - let m = cc(r, p), d = ["row", "col"]; + let m = Fc(r, p), d = ["row", "col"]; return ` - ${uc(m, e)} + ${Dc(m, e)} float ${n}(int row, int col) { - return ${n}(${lc(d, i)}); + return ${n}(${Pc(d, i)}); } `; } @@ -16158,10 +16526,10 @@ function R8(r, e) { return ` float ${n}(int row, int col) { int index = round(dot(vec2(row, col), vec2(${t10[1]}, 1))); - ${pc(r)} + ${Ac(r)} } `; - let u = s[0], c = s[1], l = Mu(o); + let u = s[0], c = s[1], l = gp(o); return c === 1 ? e ? ` float ${n}(int row, int col) { float index = dot(vec3(row, col, ${l}), vec3(${o}Shape[1], 1, 1)); @@ -16202,18 +16570,18 @@ function R8(r, e) { } `; } -function D8(r, e) { +function K7(r, e) { let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = r.shapeInfo.texShape, a = [Math.ceil(s[0] / 2), Math.ceil(s[1] / 2)]; if (t10[0] === 1) { - let m = t10.slice(1), d = [1, 2], f = cc(r, m), h = ["b", "row", "col"]; + let m = t10.slice(1), d = [1, 2], f = Fc(r, m), h = ["b", "row", "col"]; return ` - ${F$(f, e)} + ${nR(f, e)} vec4 ${n}(int b, int row, int col) { - return ${n}(${lc(h, d)}); + return ${n}(${Pc(h, d)}); } `; } - let i = wt(); + let i = It(); if (e) return ` vec4 ${n}(int b, int row, int col) { @@ -16234,14 +16602,14 @@ function D8(r, e) { } `; } -function F8(r, e) { +function q7(r, e) { let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = t10[1] * t10[2], a = t10[2], { newShape: i, keptDims: p } = y.squeezeShape(t10), u = i; if (u.length < t10.length) { - let h = cc(r, u), g = ["row", "col", "depth"]; + let h = Fc(r, u), g = ["row", "col", "depth"]; return ` - ${uc(h, e)} + ${Dc(h, e)} float ${n}(int row, int col, int depth) { - return ${n}(${lc(g, p)}); + return ${n}(${Pc(g, p)}); } `; } @@ -16250,7 +16618,7 @@ function F8(r, e) { float ${n}(int row, int col, int depth) { int index = round(dot(vec3(row, col, depth), vec3(${s}, ${a}, 1))); - ${pc(r)} + ${Ac(r)} } `; let c = r.shapeInfo.texShape, l = c[0], m = c[1], d = r.shapeInfo.flatOffset; @@ -16289,7 +16657,7 @@ function F8(r, e) { return sampleTexture(${o}, uv); } `; - let f = Mu(o); + let f = gp(o); return e ? ` float ${n}(int row, int col, int depth) { // Explicitly use integer operations as dot() only works on floats. @@ -16308,8 +16676,8 @@ function F8(r, e) { } `; } -function O8(r, e) { - let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), n = wt(); +function j7(r, e) { + let t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), n = It(); if (e) return ` vec4 ${o}(int b2, int b, int row, int col) { @@ -16337,14 +16705,14 @@ function O8(r, e) { } `; } -function P8(r, e) { +function X7(r, e) { let t10 = r.shapeInfo.logicalShape, o = r.name, n = "get" + o.charAt(0).toUpperCase() + o.slice(1), s = t10[3], a = t10[2] * s, i = t10[1] * a, { newShape: p, keptDims: u } = y.squeezeShape(t10); if (p.length < t10.length) { - let b = cc(r, p), C = ["row", "col", "depth", "depth2"]; + let b = Fc(r, p), w = ["row", "col", "depth", "depth2"]; return ` - ${uc(b, e)} + ${Dc(b, e)} float ${n}(int row, int col, int depth, int depth2) { - return ${n}(${lc(C, u)}); + return ${n}(${Pc(w, u)}); } `; } @@ -16353,7 +16721,7 @@ function P8(r, e) { float ${n}(int row, int col, int depth, int depth2) { int index = round(dot(vec4(row, col, depth, depth2), vec4(${i}, ${a}, ${s}, 1))); - ${pc(r)} + ${Ac(r)} } `; let c = r.shapeInfo.flatOffset, l = r.shapeInfo.texShape, m = l[0], d = l[1], f = `int stride2 = ${o}Shape[3];`, h = `int stride1 = ${o}Shape[2] * stride2;`, g = `int stride0 = ${o}Shape[1] * stride1;`; @@ -16401,7 +16769,7 @@ function P8(r, e) { return sampleTexture(${o}, uv); } `; - let x = Mu(o); + let x = gp(o); return e ? ` float ${n}(int row, int col, int depth, int depth2) { // Explicitly use integer operations as dot() only works on floats. @@ -16423,14 +16791,14 @@ function P8(r, e) { } `; } -function M8(r) { +function Y7(r) { let e = r.shapeInfo.logicalShape, t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), n = e[4], s = e[3] * n, a = e[2] * s, i = e[1] * a, { newShape: p, keptDims: u } = y.squeezeShape(e); if (p.length < e.length) { - let h = cc(r, p), g = ["row", "col", "depth", "depth2", "depth3"]; + let h = Fc(r, p), g = ["row", "col", "depth", "depth2", "depth3"]; return ` - ${uc(h)} + ${Dc(h)} float ${o}(int row, int col, int depth, int depth2, int depth3) { - return ${o}(${lc(g, u)}); + return ${o}(${Pc(g, u)}); } `; } @@ -16441,7 +16809,7 @@ function M8(r) { vec4(row, col, depth, depth2), vec4(${i}, ${a}, ${s}, ${n})) + depth3; - ${pc(r)} + ${Ac(r)} } `; let c = r.shapeInfo.flatOffset, l = r.shapeInfo.texShape, m = l[0], d = l[1]; @@ -16469,7 +16837,7 @@ function M8(r) { return sampleTexture(${t10}, uv); } `; - let f = Mu(t10); + let f = gp(t10); return ` float ${o}(int row, int col, int depth, int depth2, int depth3) { // Explicitly use integer operations as dot() only works on floats. @@ -16480,15 +16848,15 @@ function M8(r) { } `; } -function L8(r) { +function Q7(r) { let e = r.shapeInfo.logicalShape, t10 = r.name, o = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), { newShape: n, keptDims: s } = y.squeezeShape(e); if (n.length < e.length) { - let g = cc(r, n), x = ["row", "col", "depth", "depth2", "depth3", "depth4"]; + let g = Fc(r, n), x = ["row", "col", "depth", "depth2", "depth3", "depth4"]; return ` - ${uc(g)} + ${Dc(g)} float ${o}(int row, int col, int depth, int depth2, int depth3, int depth4) { - return ${o}(${lc(x, s)}); + return ${o}(${Pc(x, s)}); } `; } @@ -16503,7 +16871,7 @@ function L8(r) { dot( vec2(depth3, depth4), vec2(${a}, 1))); - ${pc(r)} + ${Ac(r)} } `; let l = r.shapeInfo.flatOffset, m = r.shapeInfo.texShape, d = m[0], f = m[1]; @@ -16535,7 +16903,7 @@ function L8(r) { return sampleTexture(${t10}, uv); } `; - let h = Mu(t10); + let h = gp(t10); return ` float ${o}(int row, int col, int depth, int depth2, int depth3, int depth4) { @@ -16547,7 +16915,7 @@ function L8(r) { } `; } -function pc(r) { +function Ac(r) { let e = r.name, t10 = y.sizeFromShape(r.shapeInfo.logicalShape); return t10 < 2 ? `return ${e};` : ` for (int i = 0; i < ${t10}; i++) { @@ -16557,12 +16925,12 @@ function pc(r) { } `; } -function B8(r, e) { - let t10 = r.name, o = t10.charAt(0).toUpperCase() + t10.slice(1), n = "get" + o + "AtOutCoords", s = r.shapeInfo.logicalShape.length, a = e.logicalShape.length, i = R$(r.shapeInfo.logicalShape, e.logicalShape), p = $e(a), u = a - s, c, l = ["x", "y", "z", "w", "u", "v"]; +function Z7(r, e) { + let t10 = r.name, o = t10.charAt(0).toUpperCase() + t10.slice(1), n = "get" + o + "AtOutCoords", s = r.shapeInfo.logicalShape.length, a = e.logicalShape.length, i = rR(r.shapeInfo.logicalShape, e.logicalShape), p = Re(a), u = a - s, c, l = ["x", "y", "z", "w", "u", "v"]; s === 0 ? c = "" : a < 2 && i.length >= 1 ? c = "coords = 0;" : c = i.map((b) => `coords.${l[b + u]} = 0;`).join(` `); let m = ""; - a < 2 && s > 0 ? m = "coords" : m = r.shapeInfo.logicalShape.map((b, C) => `coords.${l[C + u]}`).join(", "); + a < 2 && s > 0 ? m = "coords" : m = r.shapeInfo.logicalShape.map((b, w) => `coords.${l[w + u]}`).join(", "); let d = "return outputValue;", h = y.sizeFromShape(r.shapeInfo.logicalShape) === 1, x = y.sizeFromShape(e.logicalShape) === 1; if (s === 1 && !h && !x) d = ` @@ -16575,8 +16943,8 @@ function B8(r, e) { return vec4(outputValue.x); `; else if (i.length) { - let b = s - 2, C = s - 1; - i.indexOf(b) > -1 && i.indexOf(C) > -1 ? d = "return vec4(outputValue.x);" : i.indexOf(b) > -1 ? d = "return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);" : i.indexOf(C) > -1 && (d = "return vec4(outputValue.xx, outputValue.zz);"); + let b = s - 2, w = s - 1; + i.indexOf(b) > -1 && i.indexOf(w) > -1 ? d = "return vec4(outputValue.x);" : i.indexOf(b) > -1 ? d = "return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);" : i.indexOf(w) > -1 && (d = "return vec4(outputValue.xx, outputValue.zz);"); } return ` vec4 ${n}() { @@ -16587,7 +16955,7 @@ function B8(r, e) { } `; } -function V8(r, e) { +function J7(r, e) { let t10 = r.name, o = t10.charAt(0).toUpperCase() + t10.slice(1), n = "get" + o + "AtOutCoords", s = e.texShape, a = r.shapeInfo.texShape, i = r.shapeInfo.logicalShape.length, p = e.logicalShape.length; if (!r.shapeInfo.isUniform && i === p && r.shapeInfo.flatOffset == null && y.arraysEqual(a, s)) return ` @@ -16595,7 +16963,7 @@ function V8(r, e) { return sampleTexture(${t10}, resultUV); } `; - let u = $e(p), c = R$(r.shapeInfo.logicalShape, e.logicalShape), l = p - i, m, d = ["x", "y", "z", "w", "u", "v"]; + let u = Re(p), c = rR(r.shapeInfo.logicalShape, e.logicalShape), l = p - i, m, d = ["x", "y", "z", "w", "u", "v"]; i === 0 ? m = "" : p < 2 && c.length >= 1 ? m = "coords = 0;" : m = c.map((h) => `coords.${d[h + l]} = 0;`).join(` `); let f = ""; @@ -16607,7 +16975,7 @@ function V8(r, e) { } `; } -function $e(r) { +function Re(r) { if (r <= 1) return "int"; if (r === 2) @@ -16622,37 +16990,38 @@ function $e(r) { return "ivec6"; throw Error(`GPU for rank ${r} is not yet supported`); } -function Of(r, e, t10) { +function Xf(r, e, t10) { let { newShape: o, keptDims: n } = y.squeezeShape(e), s = e.length, a = r && s === 3 && e[0] === 1, i = a ? e.slice(1) : o, p = !r && s > 1 && !y.arraysEqual(e, t10) && o.length < s || a; return { useSqueezeShape: p, uniformShape: p ? i : e, keptDims: n }; } -function cc(r, e) { +function Fc(r, e) { let t10 = JSON.parse(JSON.stringify(r)); return t10.shapeInfo.logicalShape = e, t10; } -function lc(r, e) { +function Pc(r, e) { return e.map((t10) => r[t10]).join(", "); } -function M$(r, e, t10, o) { +function iR(r, e, t10, o) { let n = t10.map((c, l) => { let m = { logicalShape: c.shape, texShape: c.isUniform ? null : c.texData.texShape, isUniform: c.isUniform, isPacked: c.isUniform ? false : c.texData.isPacked, flatOffset: null }; return c.texData != null && c.texData.slice != null && c.texData.slice.flatOffset > 0 && (m.flatOffset = c.texData.slice.flatOffset), { name: e.variableNames[l], shapeInfo: m }; - }), s = n.map((c) => c.shapeInfo), a = { logicalShape: o.shape, texShape: o.texData.texShape, isUniform: false, isPacked: o.texData.isPacked, flatOffset: null }, i = D$(n, a, e), p = jS(r.gl, i), u = r.createProgram(p); - return O().get("ENGINE_COMPILE_ONLY") ? { program: e, fragmentShader: p, source: i, webGLProgram: u, inShapeInfos: s, outShapeInfo: a, uniformLocations: null, customUniformLocations: null, infLoc: null, nanLoc: null, inShapesLocations: null, inTexShapesLocations: null, outShapeLocation: null, outShapeStridesLocation: null, outTexShapeLocation: null } : Object.assign({ program: e, fragmentShader: p, source: i, webGLProgram: u, inShapeInfos: s, outShapeInfo: a }, mw(r, e, u)); + }), s = n.map((c) => c.shapeInfo), a = { logicalShape: o.shape, texShape: o.texData.texShape, isUniform: false, isPacked: o.texData.isPacked, flatOffset: null }, i = oR(n, a, e), p = mI(r.gl, i), u = r.createProgram(p); + return P().get("ENGINE_COMPILE_ONLY") ? { program: e, fragmentShader: p, source: i, webGLProgram: u, inShapeInfos: s, outShapeInfo: a, variablesLocations: null, customUniformLocations: null, infLoc: null, nanLoc: null, outShapeLocation: null, outShapeStridesLocation: null, outTexShapeLocation: null } : (r.buildVao(u), Object.assign({ program: e, fragmentShader: p, source: i, webGLProgram: u, inShapeInfos: s, outShapeInfo: a }, EI(r, e, u))); } -function mw(r, e, t10) { - let o = {}, n = {}, s = {}, a = [], i, p, u, c = null, l = null; - l = r.getUniformLocation(t10, "NAN", false), O().getNumber("WEBGL_VERSION") === 1 && (c = r.getUniformLocation(t10, "INFINITY", false)); - let m = false; - for (let d = 0; d < e.variableNames.length; d++) { - let f = e.variableNames[d]; - o[f] = r.getUniformLocation(t10, f, m), o[`offset${f}`] = r.getUniformLocation(t10, `offset${f}`, m), e.enableShapeUniforms && (n[`${f}Shape`] = r.getUniformLocation(t10, `${f}Shape`, m), s[`${f}TexShape`] = r.getUniformLocation(t10, `${f}TexShape`, m)); +function EI(r, e, t10) { + let o = [], n = [], s, a, i, p = null, u = null; + u = r.getUniformLocation(t10, "NAN", false), P().getNumber("WEBGL_VERSION") === 1 && (p = r.getUniformLocation(t10, "INFINITY", false)); + let c = false; + for (let l of e.variableNames) { + let m = { name: l, uniform: r.getUniformLocation(t10, l, c), offset: r.getUniformLocation(t10, `offset${l}`, c) }; + e.enableShapeUniforms && (m.shape = r.getUniformLocation(t10, `${l}Shape`, c), m.texShape = r.getUniformLocation(t10, `${l}TexShape`, c)), o.push(m); } - return e.enableShapeUniforms && (i = r.getUniformLocation(t10, "outShape", m), u = r.getUniformLocation(t10, "outShapeStrides", m), p = r.getUniformLocation(t10, "outTexShape", m)), e.customUniforms && e.customUniforms.forEach((d, f) => { - a[f] = r.getUniformLocation(t10, d.name, m); - }), { uniformLocations: o, customUniformLocations: a, infLoc: c, nanLoc: l, inShapesLocations: n, inTexShapesLocations: s, outShapeLocation: i, outShapeStridesLocation: u, outTexShapeLocation: p }; + if (e.enableShapeUniforms && (s = r.getUniformLocation(t10, "outShape", c), i = r.getUniformLocation(t10, "outShapeStrides", c), a = r.getUniformLocation(t10, "outTexShape", c)), e.customUniforms) + for (let l of e.customUniforms) + n.push(r.getUniformLocation(t10, l.name, c)); + return { variablesLocations: o, customUniformLocations: n, infLoc: p, nanLoc: u, outShapeLocation: s, outShapeStridesLocation: i, outTexShapeLocation: a }; } -function P$(r, e) { +function aR(r, e) { if (r.length !== e.length) throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${e.length} inputs`); r.forEach((t10, o) => { @@ -16666,43 +17035,44 @@ function P$(r, e) { throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${p} must match`); }); } -function L$(r, e, t10, o, n) { - e.program.enableShapeUniforms || (P$(e.inShapeInfos, t10), P$([e.outShapeInfo], [o])); +function uR(r, e, t10, o, n) { + e.program.enableShapeUniforms || (aR(e.inShapeInfos, t10), aR([e.outShapeInfo], [o])); let s = o.texData.texture, a = o.texData.texShape; - o.texData.isPacked ? r.setOutputPackedMatrixTexture(s.texture, a[0], a[1]) : r.setOutputMatrixTexture(s.texture, a[0], a[1]), r.setProgram(e.webGLProgram), O().getNumber("WEBGL_VERSION") === 1 && e.infLoc !== null && r.gl.uniform1f(e.infLoc, 1 / 0), e.nanLoc !== null && r.gl.uniform1f(e.nanLoc, NaN), t10.forEach((p, u) => { - let c = e.program.variableNames[u], l = e.uniformLocations[c], m = e.uniformLocations[`offset${c}`], d = e.inShapesLocations[`${c}Shape`], f = e.inTexShapesLocations[`${c}TexShape`]; - if (d) { - let { uniformShape: h } = Of(e.program.packedInputs, p.shape, p.texData.texShape); - switch (h.length) { + o.texData.isPacked ? r.setOutputPackedMatrixTexture(s.texture, a[0], a[1]) : r.setOutputMatrixTexture(s.texture, a[0], a[1]), r.setProgram(e.webGLProgram), r.bindVertexArray(e.webGLProgram.vao), P().getNumber("WEBGL_VERSION") === 1 && e.infLoc !== null && r.gl.uniform1f(e.infLoc, 1 / 0), e.nanLoc !== null && r.gl.uniform1f(e.nanLoc, NaN); + for (let p = 0; p < t10.length; ++p) { + let u = t10[p], { uniform: c, offset: l, shape: m, texShape: d } = e.variablesLocations[p]; + if (m) { + let { uniformShape: f } = Xf(e.program.packedInputs, u.shape, u.texData.texShape); + switch (f.length) { case 1: - r.gl.uniform1iv(d, new Int32Array(h)); + r.gl.uniform1iv(m, new Int32Array(f)); break; case 2: - r.gl.uniform2iv(d, new Int32Array(h)); + r.gl.uniform2iv(m, new Int32Array(f)); break; case 3: - r.gl.uniform3iv(d, new Int32Array(h)); + r.gl.uniform3iv(m, new Int32Array(f)); break; case 4: - r.gl.uniform4iv(d, new Int32Array(h)); + r.gl.uniform4iv(m, new Int32Array(f)); break; default: break; } } - if (f && r.gl.uniform2i(f, p.texData.texShape[0], p.texData.texShape[1]), l != null) { - if (p.isUniform) { - if (y.sizeFromShape(p.shape) < 2) - r.gl.uniform1f(l, p.uniformValues[0]); + if (d && r.gl.uniform2i(d, u.texData.texShape[0], u.texData.texShape[1]), c != null) { + if (u.isUniform) { + if (y.sizeFromShape(u.shape) < 2) + r.gl.uniform1f(c, u.uniformValues[0]); else { - let h = p.uniformValues; - h instanceof Float32Array || (h = new Float32Array(h)), r.gl.uniform1fv(l, h); + let f = u.uniformValues; + f instanceof Float32Array || (f = new Float32Array(f)), r.gl.uniform1fv(c, f); } - return; + continue; } - p.texData.slice != null && m != null && r.gl.uniform1i(m, p.texData.slice.flatOffset), r.setInputMatrixTexture(p.texData.texture.texture, l, u); + u.texData.slice != null && l != null && r.gl.uniform1i(l, u.texData.slice.flatOffset), r.setInputMatrixTexture(u.texData.texture.texture, c, p); } - }); + } let i = e.outShapeLocation; if (i) switch (o.shape.length) { @@ -16737,34 +17107,36 @@ function L$(r, e, t10, o, n) { break; } } - e.outTexShapeLocation && r.gl.uniform2i(e.outTexShapeLocation, o.texData.texShape[0], o.texData.texShape[1]), e.program.customUniforms && n && e.program.customUniforms.forEach((p, u) => { - let c = e.customUniformLocations[u], l = n[u]; - if (p.type === "float") - r.gl.uniform1fv(c, l); - else if (p.type === "vec2") - r.gl.uniform2fv(c, l); - else if (p.type === "vec3") - r.gl.uniform3fv(c, l); - else if (p.type === "vec4") - r.gl.uniform4fv(c, l); - else if (p.type === "int") - r.gl.uniform1iv(c, l); - else if (p.type === "ivec2") - r.gl.uniform2iv(c, l); - else if (p.type === "ivec3") - r.gl.uniform3iv(c, l); - else if (p.type === "ivec4") - r.gl.uniform4iv(c, l); - else - throw Error(`uniform type ${p.type} is not supported yet.`); - }), r.executeProgram(); + if (e.outTexShapeLocation && r.gl.uniform2i(e.outTexShapeLocation, o.texData.texShape[0], o.texData.texShape[1]), e.program.customUniforms && n) + for (let p = 0; p < e.program.customUniforms.length; ++p) { + let u = e.program.customUniforms[p], c = e.customUniformLocations[p], l = n[p]; + if (u.type === "float") + r.gl.uniform1fv(c, l); + else if (u.type === "vec2") + r.gl.uniform2fv(c, l); + else if (u.type === "vec3") + r.gl.uniform3fv(c, l); + else if (u.type === "vec4") + r.gl.uniform4fv(c, l); + else if (u.type === "int") + r.gl.uniform1iv(c, l); + else if (u.type === "ivec2") + r.gl.uniform2iv(c, l); + else if (u.type === "ivec3") + r.gl.uniform3iv(c, l); + else if (u.type === "ivec4") + r.gl.uniform4iv(c, l); + else + throw Error(`uniform type ${u.type} is not supported yet.`); + } + r.executeProgram(); } -function B$(r, e, t10) { +function pR(r, e, t10) { let o = ""; e.concat(t10).forEach((a) => { let i = a.texData != null && a.texData.slice != null && a.texData.slice.flatOffset > 0; if (r.enableShapeUniforms && !a.isUniform) { - let p = a.texData.texShape, { useSqueezeShape: u, uniformShape: c, keptDims: l } = Of(r.packedInputs, a.shape, p), m = "", d = "", f = ""; + let p = a.texData.texShape, { useSqueezeShape: u, uniformShape: c, keptDims: l } = Xf(r.packedInputs, a.shape, p), m = "", d = "", f = ""; if (c.length === 1 && r.packedInputs) { let k = [Math.ceil(p[0] / 2), Math.ceil(p[1] / 2)]; m = `${k[0] > 1}_${k[1] > 1}`; @@ -16774,26 +17146,26 @@ function B$(r, e, t10) { let k = y.computeStrides(c); f = `${k[0] === p[1]}_${k[k.length - 1] === p[1]}`; } - let h = a.shape.length, g = c.length === 2 && y.arraysEqual(a.shape, p), x = y.sizeFromShape(a.shape) === 1, b = S.getBroadcastDims(a.shape, t10.shape), C = !r.packedInputs && h === t10.shape.length && y.arraysEqual(p, t10.texData.texShape), w = r.packedInputs || c.length > 2 ? "" : `${p[0] > 1}_${p[1] > 1}`; - o += `${h}_${C}_${u ? l : ""}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${w}_${i}`; + let h = a.shape.length, g = c.length === 2 && y.arraysEqual(a.shape, p), x = y.sizeFromShape(a.shape) === 1, b = C.getBroadcastDims(a.shape, t10.shape), w = !r.packedInputs && h === t10.shape.length && y.arraysEqual(p, t10.texData.texShape), S = r.packedInputs || c.length > 2 ? "" : `${p[0] > 1}_${p[1] > 1}`; + o += `${h}_${w}_${u ? l : ""}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${S}_${i}`; } else { let p = a.isUniform ? "uniform" : a.texData.texShape; o += `${a.shape}_${p}_${i}`; } }); let n = r.userCode, s = r.constructor.name; - return s += "_" + o + "_" + n + `${O().getNumber("WEBGL_VERSION")}`, s; + return s += "_" + o + "_" + n + `${P().getNumber("WEBGL_VERSION")}`, s; } -function lt(r) { - return O().getBool("WEBGL_USE_SHAPES_UNIFORMS") && r <= 4; +function ut(r) { + return P().getBool("WEBGL_USE_SHAPES_UNIFORMS") && r <= 4; } -var Pf = class { +var Yf = class { constructor(e) { - this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true, this.outPackingScheme = Li.DENSE, this.customUniforms = [{ name: "texShape", type: "ivec2" }]; - let t10 = wt(); - this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length), this.userCode = ` + this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true, this.outPackingScheme = du.DENSE, this.customUniforms = [{ name: "texShape", type: "ivec2" }]; + let t10 = It(); + this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length), this.userCode = ` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms ? Pu(["r", "c", "d"], e) : ps(["r", "c", "d"], e)} + ${this.enableShapeUniforms ? hp(["r", "c", "d"], e) : Os(["r", "c", "d"], e)} return ivec3(r, c, d); } @@ -16814,13 +17186,13 @@ var Pf = class { `; } }; -var Mf = class { +var Qf = class { constructor(e) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outPackingScheme = Li.DENSE, this.customUniforms = [{ name: "texShape", type: "ivec2" }]; - let t10 = wt(); - this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length), this.userCode = ` + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outPackingScheme = du.DENSE, this.customUniforms = [{ name: "texShape", type: "ivec2" }]; + let t10 = It(); + this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length), this.userCode = ` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms ? Pu(["r", "c", "d"], e) : ps(["r", "c", "d"], e)} + ${this.enableShapeUniforms ? hp(["r", "c", "d"], e) : Os(["r", "c", "d"], e)} return ivec3(r, c, d); } @@ -16841,12 +17213,12 @@ var Mf = class { `; } }; -var Lf = class { +var Zf = class { constructor(e) { - this.variableNames = ["A"], this.outTexUsage = ur.DOWNLOAD; - let t10 = wt(); + this.variableNames = ["A"], this.outTexUsage = mr.DOWNLOAD; + let t10 = It(); this.outputShape = e, this.userCode = ` - ${Ff} + ${jf} void main() { float x = getAAtOutCoords(); @@ -16855,12 +17227,12 @@ var Lf = class { `; } }; -var Bf = class { +var Jf = class { constructor(e) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = false, this.outTexUsage = ur.DOWNLOAD; - let t10 = wt(); + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = false, this.outTexUsage = mr.DOWNLOAD; + let t10 = It(); this.outputShape = e, this.userCode = ` - ${Ff} + ${jf} void main() { ivec3 coords = getOutputCoords(); @@ -16870,12 +17242,12 @@ var Bf = class { `; } }; -var U8 = { R: 0, G: 1, B: 2, A: 3 }; -var Tl = class { +var rZ = { R: 0, G: 1, B: 2, A: 3 }; +var Xl = class { constructor(e, t10 = false, o = "RGBA") { this.variableNames = ["A"], this.customUniforms = [{ name: "texShape", type: "ivec2" }]; - let n = wt(); - this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length); + let n = It(); + this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length); let s = "result"; t10 && (s = "floor(result * 255. + 0.5)"); let a = ""; @@ -16883,11 +17255,11 @@ var Tl = class { let p = o[i]; a += ` if(offset == ${i}) { - result = values[${U8[p]}]; + result = values[${rZ[p]}]; }`; } this.userCode = ` - ${this.enableShapeUniforms ? ac() : sc(e)} + ${this.enableShapeUniforms ? Ec() : $c(e)} void main() { ivec3 coords = getOutputCoords(); @@ -16909,11 +17281,11 @@ var Tl = class { `; } }; -var Vf = class { +var eh = class { constructor(e, t10 = false) { this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true, this.customUniforms = [{ name: "texShape", type: "ivec2" }]; - let o = wt(); - this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length); + let o = It(); + this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length); let n = "", s = "result"; t10 && (s = "floor(result * 255. + 0.5)"); for (let a = 0; a <= 1; a++) @@ -16950,7 +17322,7 @@ var Vf = class { `; } this.userCode = ` - ${this.enableShapeUniforms ? ac() : sc(e)} + ${this.enableShapeUniforms ? Ec() : $c(e)} void main() { ivec3 coords = getOutputCoords(); @@ -16968,10 +17340,10 @@ var Vf = class { `; } }; -var $w = {}; -Ge($w, { bindVertexProgramAttributeStreams: () => Sw, createBufferFromOutputTexture: () => vw, createFloat16MatrixTexture: () => xw, createFloat16PackedMatrixTexture: () => Cw, createFloat32MatrixTexture: () => gw, createIndexBuffer: () => hw, createPackedMatrixTexture: () => bw, createUnsignedBytesMatrixTexture: () => yw, createVertexBuffer: () => fw, createVertexShader: () => dw, downloadByteEncodedFloatMatrixFromOutputTexture: () => Nw, downloadFloat32MatrixFromBuffer: () => kw, downloadMatrixFromPackedOutputTexture: () => _w, downloadPackedMatrixFromBuffer: () => Tw, getInternalFormatForFloat16MatrixTexture: () => Wf, getInternalFormatForFloat16PackedMatrixTexture: () => Hf, getInternalFormatForFloat32MatrixTexture: () => zf, getInternalFormatForPackedMatrixTexture: () => Gf, getInternalFormatForUnsignedBytesMatrixTexture: () => Uf, uploadDenseMatrixToTexture: () => ww, uploadPixelDataToTexture: () => Iw }); -function dw(r) { - let e = wt(), t10 = `${e.version} +var qI = {}; +He(qI, { bindVertexProgramAttributeStreams: () => BI, createBufferFromOutputTexture: () => WI, createFloat16MatrixTexture: () => PI, createFloat16PackedMatrixTexture: () => LI, createFloat32MatrixTexture: () => FI, createIndexBuffer: () => AI, createPackedMatrixTexture: () => MI, createUnsignedBytesMatrixTexture: () => OI, createVertexBuffer: () => DI, createVertexShader: () => RI, downloadByteEncodedFloatMatrixFromOutputTexture: () => GI, downloadFloat32MatrixFromBuffer: () => UI, downloadMatrixFromPackedOutputTexture: () => KI, downloadPackedMatrixFromBuffer: () => HI, getInternalFormatForFloat16MatrixTexture: () => rh, getInternalFormatForFloat16PackedMatrixTexture: () => sh, getInternalFormatForFloat32MatrixTexture: () => th, getInternalFormatForPackedMatrixTexture: () => nh, getInternalFormatForUnsignedBytesMatrixTexture: () => oh, uploadDenseMatrixToTexture: () => zI, uploadPixelDataToTexture: () => VI }); +function RI(r) { + let e = It(), t10 = `${e.version} precision highp float; ${e.attribute} vec3 clipSpacePos; ${e.attribute} vec2 uv; @@ -16981,167 +17353,167 @@ function dw(r) { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; }`; - return qS(r, t10); + return lI(r, t10); } -function fw(r) { +function DI(r) { let e = new Float32Array([-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]); - return QS(r, e); + return hI(r, e); } -function hw(r) { +function AI(r) { let e = new Uint16Array([0, 1, 2, 2, 1, 3]); - return ZS(r, e); + return gI(r, e); } -function _l(r, e, t10, o, n, s) { - ew(e, t10); - let a = JS(r), i = r.TEXTURE_2D; - return pe(r, () => r.bindTexture(i, a)), pe(r, () => r.texParameteri(i, r.TEXTURE_WRAP_S, r.CLAMP_TO_EDGE)), pe(r, () => r.texParameteri(i, r.TEXTURE_WRAP_T, r.CLAMP_TO_EDGE)), pe(r, () => r.texParameteri(i, r.TEXTURE_MIN_FILTER, r.NEAREST)), pe(r, () => r.texParameteri(i, r.TEXTURE_MAG_FILTER, r.NEAREST)), O().getNumber("WEBGL_VERSION") === 1 ? pe(r, () => r.texImage2D(i, 0, o, e, t10, 0, n, s, null)) : pe(r, () => r.texStorage2D(i, 1, o, e, t10)), pe(r, () => r.bindTexture(r.TEXTURE_2D, null)), { texture: a, texShape: [t10, e] }; +function Yl(r, e, t10, o, n, s) { + yI(e, t10); + let a = xI(r), i = r.TEXTURE_2D; + return ce(r, () => r.bindTexture(i, a)), ce(r, () => r.texParameteri(i, r.TEXTURE_WRAP_S, r.CLAMP_TO_EDGE)), ce(r, () => r.texParameteri(i, r.TEXTURE_WRAP_T, r.CLAMP_TO_EDGE)), ce(r, () => r.texParameteri(i, r.TEXTURE_MIN_FILTER, r.NEAREST)), ce(r, () => r.texParameteri(i, r.TEXTURE_MAG_FILTER, r.NEAREST)), P().getNumber("WEBGL_VERSION") === 1 ? ce(r, () => r.texImage2D(i, 0, o, e, t10, 0, n, s, null)) : ce(r, () => r.texStorage2D(i, 1, o, e, t10)), ce(r, () => r.bindTexture(r.TEXTURE_2D, null)), { texture: a, texShape: [t10, e] }; } -function zf(r) { +function th(r) { return r.internalFormatFloat; } -function gw(r, e, t10, o) { - let [n, s] = Ou(e, t10); - return _l(r, n, s, zf(o), o.textureFormatFloat, r.FLOAT); +function FI(r, e, t10, o) { + let [n, s] = fp(e, t10); + return Yl(r, n, s, th(o), o.textureFormatFloat, r.FLOAT); } -function Wf(r) { +function rh(r) { return r.internalFormatHalfFloat; } -function xw(r, e, t10, o) { - let [n, s] = Ou(e, t10); - return _l(r, n, s, Wf(o), o.textureFormatFloat, o.textureTypeHalfFloat); +function PI(r, e, t10, o) { + let [n, s] = fp(e, t10); + return Yl(r, n, s, rh(o), o.textureFormatFloat, o.textureTypeHalfFloat); } -function Uf(r) { +function oh(r) { return r.downloadTextureFormat; } -function yw(r, e, t10, o) { - let [n, s] = Ou(e, t10); - return _l(r, n, s, Uf(o), r.RGBA, r.UNSIGNED_BYTE); +function OI(r, e, t10, o) { + let [n, s] = fp(e, t10); + return Yl(r, n, s, oh(o), r.RGBA, r.UNSIGNED_BYTE); } -function Gf(r) { +function nh(r) { return r.internalFormatPackedFloat; } -function bw(r, e, t10, o) { - let [n, s] = Qs(e, t10); - return _l(r, n, s, Gf(o), r.RGBA, r.FLOAT); +function MI(r, e, t10, o) { + let [n, s] = Ea(e, t10); + return Yl(r, n, s, nh(o), r.RGBA, r.FLOAT); } -function Hf(r) { +function sh(r) { return r.internalFormatPackedHalfFloat; } -function Cw(r, e, t10, o) { - let [n, s] = Qs(e, t10); - return _l(r, n, s, Hf(o), r.RGBA, o.textureTypeHalfFloat); +function LI(r, e, t10, o) { + let [n, s] = Ea(e, t10); + return Yl(r, n, s, sh(o), r.RGBA, o.textureTypeHalfFloat); } -function Sw(r, e, t10) { - return pe(r, () => r.bindBuffer(r.ARRAY_BUFFER, t10)), Af(r, e, "clipSpacePos", t10, 3, 20, 0) && Af(r, e, "uv", t10, 2, 20, 12); +function BI(r, e, t10) { + return ce(r, () => r.bindBuffer(r.ARRAY_BUFFER, t10)), Hf(r, e, "clipSpacePos", t10, 3, 20, 0) && Hf(r, e, "uv", t10, 2, 20, 12); } -function ww(r, e, t10, o, n, s) { - pe(r, () => r.bindTexture(r.TEXTURE_2D, e)); +function zI(r, e, t10, o, n, s) { + ce(r, () => r.bindTexture(r.TEXTURE_2D, e)); let a, i, p; - n instanceof Uint8Array ? (a = new Uint8Array(t10 * o * 4), i = r.UNSIGNED_BYTE, p = r.RGBA) : (a = new Float32Array(t10 * o * 4), i = r.FLOAT, p = s.internalFormatPackedFloat), a.set(n), O().getNumber("WEBGL_VERSION") === 2 ? pe(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, t10, o, r.RGBA, i, a)) : pe(r, () => r.texImage2D(r.TEXTURE_2D, 0, p, t10, o, 0, r.RGBA, i, a)), pe(r, () => r.bindTexture(r.TEXTURE_2D, null)); + n instanceof Uint8Array ? (a = new Uint8Array(t10 * o * 4), i = r.UNSIGNED_BYTE, p = r.RGBA) : (a = new Float32Array(t10 * o * 4), i = r.FLOAT, p = s.internalFormatPackedFloat), a.set(n), P().getNumber("WEBGL_VERSION") === 2 ? ce(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, t10, o, r.RGBA, i, a)) : ce(r, () => r.texImage2D(r.TEXTURE_2D, 0, p, t10, o, 0, r.RGBA, i, a)), ce(r, () => r.bindTexture(r.TEXTURE_2D, null)); } -function Iw(r, e, t10) { - pe(r, () => r.bindTexture(r.TEXTURE_2D, e)), t10.data instanceof Uint8Array ? O().getNumber("WEBGL_VERSION") === 2 ? pe(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, t10.width, t10.height, r.RGBA, r.UNSIGNED_BYTE, t10.data)) : pe(r, () => r.texImage2D(r.TEXTURE_2D, 0, r.RGBA, t10.width, t10.height, 0, r.RGBA, r.UNSIGNED_BYTE, t10.data)) : O().getNumber("WEBGL_VERSION") === 2 ? pe(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, r.RGBA, r.UNSIGNED_BYTE, t10)) : pe(r, () => r.texImage2D(r.TEXTURE_2D, 0, r.RGBA, r.RGBA, r.UNSIGNED_BYTE, t10)), pe(r, () => r.bindTexture(r.TEXTURE_2D, null)); +function VI(r, e, t10) { + ce(r, () => r.bindTexture(r.TEXTURE_2D, e)), t10.data instanceof Uint8Array ? P().getNumber("WEBGL_VERSION") === 2 ? ce(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, t10.width, t10.height, r.RGBA, r.UNSIGNED_BYTE, t10.data)) : ce(r, () => r.texImage2D(r.TEXTURE_2D, 0, r.RGBA, t10.width, t10.height, 0, r.RGBA, r.UNSIGNED_BYTE, t10.data)) : P().getNumber("WEBGL_VERSION") === 2 ? ce(r, () => r.texSubImage2D(r.TEXTURE_2D, 0, 0, 0, r.RGBA, r.UNSIGNED_BYTE, t10)) : ce(r, () => r.texImage2D(r.TEXTURE_2D, 0, r.RGBA, r.RGBA, r.UNSIGNED_BYTE, t10)), ce(r, () => r.bindTexture(r.TEXTURE_2D, null)); } -function vw(r, e, t10, o) { +function WI(r, e, t10, o) { let n = r.createBuffer(); - pe(r, () => r.bindBuffer(r.PIXEL_PACK_BUFFER, n)); + ce(r, () => r.bindBuffer(r.PIXEL_PACK_BUFFER, n)); let i = 4 * 4 * e * t10; - return pe(r, () => r.bufferData(r.PIXEL_PACK_BUFFER, i, r.STREAM_READ)), pe(r, () => r.readPixels(0, 0, t10, e, r.RGBA, r.FLOAT, 0)), pe(r, () => r.bindBuffer(r.PIXEL_PACK_BUFFER, null)), n; + return ce(r, () => r.bufferData(r.PIXEL_PACK_BUFFER, i, r.STREAM_READ)), ce(r, () => r.readPixels(0, 0, t10, e, r.RGBA, r.FLOAT, 0)), ce(r, () => r.bindBuffer(r.PIXEL_PACK_BUFFER, null)), n; } -function kw(r, e, t10) { +function UI(r, e, t10) { let o = r, n = new Float32Array(t10); return o.bindBuffer(o.PIXEL_PACK_BUFFER, e), o.getBufferSubData(o.PIXEL_PACK_BUFFER, 0, n), o.bindBuffer(o.PIXEL_PACK_BUFFER, null), n; } -function Nw(r, e, t10, o) { - let [n, s] = Ou(e, t10), a = 4, i = new Uint8Array(k$(e * t10, a)); - return pe(r, () => r.readPixels(0, 0, n, s, o.downloadTextureFormat, r.UNSIGNED_BYTE, i)), new Float32Array(i.buffer); +function GI(r, e, t10, o) { + let [n, s] = fp(e, t10), a = 4, i = new Uint8Array(XE(e * t10, a)); + return ce(r, () => r.readPixels(0, 0, n, s, o.downloadTextureFormat, r.UNSIGNED_BYTE, i)), new Float32Array(i.buffer); } -function Tw(r, e, t10, o, n, s, a, i) { - let p = r, u = new Float32Array(N$(s, a)); +function HI(r, e, t10, o, n, s, a, i) { + let p = r, u = new Float32Array(YE(s, a)); return p.bindBuffer(p.PIXEL_PACK_BUFFER, e), p.getBufferSubData(p.PIXEL_PACK_BUFFER, 0, u), p.bindBuffer(p.PIXEL_PACK_BUFFER, null), u; } -function _w(r, e, t10) { +function KI(r, e, t10) { let o = new Float32Array(e * t10 * 4); - return pe(r, () => r.readPixels(0, 0, t10, e, r.RGBA, r.FLOAT, o)), o; + return ce(r, () => r.readPixels(0, 0, t10, e, r.RGBA, r.FLOAT, o)), o; } -var Lu = class { +var xp = class { constructor(e) { this.outputTexture = null, this.program = null, this.disposed = false, this.itemsToPoll = []; - let t10 = O().getNumber("WEBGL_VERSION"); - if (e != null ? (this.gl = e, US(t10, e)) : this.gl = zr(t10), e = this.gl, O().getNumber("WEBGL_VERSION") === 2) { + let t10 = P().getNumber("WEBGL_VERSION"); + if (e != null ? (this.gl = e, iI(t10, e)) : this.gl = Gr(t10), e = this.gl, P().getNumber("WEBGL_VERSION") === 2) { let s = e; - this.createVertexArray = () => pe(s, () => s.createVertexArray()), this.bindVertexArray = (a) => pe(s, () => s.bindVertexArray(a)), this.deleteVertexArray = (a) => pe(s, () => s.deleteVertexArray(a)), this.getVertexArray = () => pe(s, () => s.getParameter(s.VERTEX_ARRAY_BINDING)); + this.createVertexArray = () => ce(s, () => s.createVertexArray()), this.bindVertexArray = (a) => ce(s, () => s.bindVertexArray(a)), this.deleteVertexArray = (a) => ce(s, () => s.deleteVertexArray(a)), this.getVertexArray = () => ce(s, () => s.getParameter(s.VERTEX_ARRAY_BINDING)); } else if (e != null) { let s = e.getExtension("OES_vertex_array_object"); if (s == null) throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object."); - this.createVertexArray = () => pe(e, () => s.createVertexArrayOES()), this.bindVertexArray = (a) => pe(e, () => s.bindVertexArrayOES(a)), this.deleteVertexArray = (a) => pe(e, () => s.deleteVertexArrayOES(a)), this.getVertexArray = () => pe(e, () => e.getParameter(s.VERTEX_ARRAY_BINDING_OES)); + this.createVertexArray = () => ce(e, () => s.createVertexArrayOES()), this.bindVertexArray = (a) => ce(e, () => s.bindVertexArrayOES(a)), this.deleteVertexArray = (a) => ce(e, () => s.deleteVertexArrayOES(a)), this.getVertexArray = () => ce(e, () => e.getParameter(s.VERTEX_ARRAY_BINDING_OES)); } let o = "WEBGL_color_buffer_float", n = "EXT_color_buffer_half_float"; - if (this.parallelCompilationExtension = this.gl.getExtension("KHR_parallel_shader_compile"), O().getNumber("WEBGL_VERSION") === 1) { + if (this.parallelCompilationExtension = this.gl.getExtension("KHR_parallel_shader_compile"), P().getNumber("WEBGL_VERSION") === 1) { let s = "OES_texture_float", a = "OES_texture_half_float"; - if (this.textureFloatExtension = tc(this.gl, s), Wr(this.gl, a)) - this.textureHalfFloatExtension = tc(this.gl, a); - else if (O().get("WEBGL_FORCE_F16_TEXTURES")) + if (this.textureFloatExtension = kc(this.gl, s), Hr(this.gl, a)) + this.textureHalfFloatExtension = kc(this.gl, a); + else if (P().get("WEBGL_FORCE_F16_TEXTURES")) throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true."); - if (this.colorBufferFloatExtension = this.gl.getExtension(o), Wr(this.gl, n)) - this.colorBufferHalfFloatExtension = tc(this.gl, n); - else if (O().get("WEBGL_FORCE_F16_TEXTURES")) + if (this.colorBufferFloatExtension = this.gl.getExtension(o), Hr(this.gl, n)) + this.colorBufferHalfFloatExtension = kc(this.gl, n); + else if (P().get("WEBGL_FORCE_F16_TEXTURES")) throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true."); - } else if (o = "EXT_color_buffer_float", Wr(this.gl, o)) + } else if (o = "EXT_color_buffer_float", Hr(this.gl, o)) this.colorBufferFloatExtension = this.gl.getExtension(o); - else if (Wr(this.gl, n)) + else if (Hr(this.gl, n)) this.colorBufferHalfFloatExtension = this.gl.getExtension(n); else throw new Error("GL context does not support color renderable floats"); - this.vertexBuffer = fw(this.gl), this.indexBuffer = hw(this.gl), this.framebuffer = tw(this.gl), this.textureConfig = vl(this.gl, this.textureHalfFloatExtension); + this.vertexBuffer = DI(this.gl), this.indexBuffer = AI(this.gl), this.framebuffer = bI(this.gl), this.textureConfig = Kl(this.gl, this.textureHalfFloatExtension); } get debug() { - return O().getBool("DEBUG"); + return P().getBool("DEBUG"); } dispose() { if (this.disposed) return; this.program != null && console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."), this.outputTexture != null && console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing."); let e = this.gl; - pe(e, () => e.finish()), pe(e, () => e.bindFramebuffer(e.FRAMEBUFFER, null)), pe(e, () => e.deleteFramebuffer(this.framebuffer)), pe(e, () => e.bindBuffer(e.ARRAY_BUFFER, null)), pe(e, () => e.bindBuffer(e.ELEMENT_ARRAY_BUFFER, null)), pe(e, () => e.deleteBuffer(this.indexBuffer)), this.disposed = true; + ce(e, () => e.finish()), ce(e, () => e.bindFramebuffer(e.FRAMEBUFFER, null)), ce(e, () => e.deleteFramebuffer(this.framebuffer)), ce(e, () => e.bindBuffer(e.ARRAY_BUFFER, null)), ce(e, () => e.bindBuffer(e.ELEMENT_ARRAY_BUFFER, null)), ce(e, () => e.deleteBuffer(this.indexBuffer)), this.disposed = true; } createFloat32MatrixTexture(e, t10) { - return this.throwIfDisposed(), gw(this.gl, e, t10, this.textureConfig); + return this.throwIfDisposed(), FI(this.gl, e, t10, this.textureConfig); } createFloat16MatrixTexture(e, t10) { - return this.throwIfDisposed(), xw(this.gl, e, t10, this.textureConfig); + return this.throwIfDisposed(), PI(this.gl, e, t10, this.textureConfig); } createUnsignedBytesMatrixTexture(e, t10) { - return this.throwIfDisposed(), yw(this.gl, e, t10, this.textureConfig); + return this.throwIfDisposed(), OI(this.gl, e, t10, this.textureConfig); } uploadPixelDataToTexture(e, t10) { - this.throwIfDisposed(), Iw(this.gl, e, t10); + this.throwIfDisposed(), VI(this.gl, e, t10); } uploadDenseMatrixToTexture(e, t10, o, n) { - this.throwIfDisposed(), ww(this.gl, e, t10, o, n, this.textureConfig); + this.throwIfDisposed(), zI(this.gl, e, t10, o, n, this.textureConfig); } createFloat16PackedMatrixTexture(e, t10) { - return this.throwIfDisposed(), Cw(this.gl, e, t10, this.textureConfig); + return this.throwIfDisposed(), LI(this.gl, e, t10, this.textureConfig); } createPackedMatrixTexture(e, t10) { - return this.throwIfDisposed(), bw(this.gl, e, t10, this.textureConfig); + return this.throwIfDisposed(), MI(this.gl, e, t10, this.textureConfig); } deleteMatrixTexture(e) { - this.throwIfDisposed(), this.outputTexture === e && (Rf(this.gl, this.framebuffer), this.outputTexture = null), pe(this.gl, () => this.gl.deleteTexture(e)); + this.throwIfDisposed(), this.outputTexture === e && (Kf(this.gl, this.framebuffer), this.outputTexture = null), ce(this.gl, () => this.gl.deleteTexture(e)); } downloadByteEncodedFloatMatrixFromOutputTexture(e, t10, o) { - return this.downloadMatrixDriver(e, () => Nw(this.gl, t10, o, this.textureConfig)); + return this.downloadMatrixDriver(e, () => GI(this.gl, t10, o, this.textureConfig)); } downloadPackedMatrixFromBuffer(e, t10, o, n, s, a) { - return Tw(this.gl, e, t10, o, n, s, a, this.textureConfig); + return HI(this.gl, e, t10, o, n, s, a, this.textureConfig); } downloadFloat32MatrixFromBuffer(e, t10) { - return kw(this.gl, e, t10); + return UI(this.gl, e, t10); } createBufferFromTexture(e, t10, o) { this.bindTextureToFrameBuffer(e); - let n = vw(this.gl, t10, o, this.textureConfig); + let n = WI(this.gl, t10, o, this.textureConfig); return this.unbindTextureToFrameBuffer(), n; } createAndWaitForFence() { @@ -17150,52 +17522,57 @@ var Lu = class { } createFence(e) { let t10, o; - if (O().getBool("WEBGL_FENCE_API_ENABLED")) { + if (P().getBool("WEBGL_FENCE_API_ENABLED")) { let n = e, s = n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE, 0); e.flush(), o = () => { let a = n.clientWaitSync(s, 0, 0); return a === n.ALREADY_SIGNALED || a === n.CONDITION_SATISFIED; }, t10 = s; } else - O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 ? (t10 = this.beginQuery(), this.endQuery(), o = () => this.isQueryAvailable(t10, O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))) : o = () => true; + P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 ? (t10 = this.beginQuery(), this.endQuery(), o = () => this.isQueryAvailable(t10, P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))) : o = () => true; return { query: t10, isFencePassed: o }; } downloadMatrixFromPackedTexture(e, t10, o) { - return this.downloadMatrixDriver(e, () => _w(this.gl, t10, o)); + return this.downloadMatrixDriver(e, () => KI(this.gl, t10, o)); } createProgram(e) { this.throwIfDisposed(); let t10 = this.gl; - this.vertexShader == null && (this.vertexShader = dw(t10)); - let o = XS(t10); - pe(t10, () => t10.attachShader(o, this.vertexShader)), pe(t10, () => t10.attachShader(o, e)), YS(t10, o); - let n; - return n = Object.assign(o, { vao: this.createVertexArray() }), this.bindVertexArray(n.vao), pe(t10, () => t10.bindBuffer(t10.ELEMENT_ARRAY_BUFFER, this.indexBuffer)), console.assert(Sw(t10, n, this.vertexBuffer), "gpgpu_util.bindVertexProgramAttributeStreams not fully successful."), this.debug && kl(t10, n), this.setProgram(n), n; + this.vertexShader == null && (this.vertexShader = RI(t10)); + let o = dI(t10); + ce(t10, () => t10.attachShader(o, this.vertexShader)), ce(t10, () => t10.attachShader(o, e)), fI(t10, o); + let n = Object.assign(o, { vao: this.createVertexArray() }); + return this.debug && ql(t10, n), n; + } + buildVao(e) { + this.setProgram(e), this.bindVertexArray(e.vao); + let t10 = this.gl; + ce(t10, () => t10.bindBuffer(t10.ELEMENT_ARRAY_BUFFER, this.indexBuffer)), BI(t10, e, this.vertexBuffer); } deleteProgram(e) { - this.throwIfDisposed(), e === this.program && (this.program = null), e != null && (pe(this.gl, () => this.gl.deleteProgram(e)), this.deleteVertexArray(e.vao)); + this.throwIfDisposed(), e === this.program && (this.program = null), e != null && (ce(this.gl, () => this.gl.deleteProgram(e)), this.deleteVertexArray(e.vao)); } setProgram(e) { - this.throwIfDisposed(), this.program = e, this.program != null && (this.bindVertexArray(this.program.vao), this.debug && kl(this.gl, this.program)), pe(this.gl, () => this.gl.useProgram(e)); + this.throwIfDisposed(), this.program = e, this.program != null && this.debug && ql(this.gl, this.program), ce(this.gl, () => this.gl.useProgram(e)); } getUniformLocation(e, t10, o = true) { - return this.throwIfDisposed(), o ? rw(this.gl, e, t10) : ow(this.gl, e, t10); + return this.throwIfDisposed(), o ? CI(this.gl, e, t10) : wI(this.gl, e, t10); } getAttributeLocation(e, t10) { - return this.throwIfDisposed(), pe(this.gl, () => this.gl.getAttribLocation(e, t10)); + return this.throwIfDisposed(), ce(this.gl, () => this.gl.getAttribLocation(e, t10)); } getUniformLocationNoThrow(e, t10) { return this.throwIfDisposed(), this.gl.getUniformLocation(e, t10); } setInputMatrixTexture(e, t10, o) { - this.throwIfDisposed(), this.throwIfNoProgram(), nw(this.gl, e, t10, o); + this.throwIfDisposed(), this.throwIfNoProgram(), SI(this.gl, e, t10, o); } setOutputMatrixTexture(e, t10, o) { this.setOutputMatrixTextureDriver(e, o, t10); } setOutputPackedMatrixTexture(e, t10, o) { this.throwIfDisposed(); - let [n, s] = Qs(t10, o); + let [n, s] = Ea(t10, o); this.setOutputMatrixTextureDriver(e, n, s); } setOutputMatrixWriteRegion(e, t10, o, n) { @@ -17205,7 +17582,7 @@ var Lu = class { throw new Error("setOutputPackedMatrixWriteRegion not implemented."); } debugValidate() { - this.program != null && kl(this.gl, this.program), rc(this.gl); + this.program != null && ql(this.gl, this.program), Nc(this.gl); } executeProgram() { this.throwIfDisposed(), this.throwIfNoProgram(); @@ -17214,13 +17591,13 @@ var Lu = class { let t10 = this.getVertexArray(); console.assert(t10 === this.program.vao, "VAO changed between setProgram and executeProgram!"), this.debugValidate(); } - pe(e, () => e.drawElements(e.TRIANGLES, 6, e.UNSIGNED_SHORT, 0)); + ce(e, () => e.drawElements(e.TRIANGLES, 6, e.UNSIGNED_SHORT, 0)); } blockUntilAllProgramsCompleted() { - this.throwIfDisposed(), pe(this.gl, () => this.gl.finish()); + this.throwIfDisposed(), ce(this.gl, () => this.gl.finish()); } getQueryTimerExtension() { - return this.disjointQueryTimerExtension == null && (this.disjointQueryTimerExtension = tc(this.gl, O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2 ? "EXT_disjoint_timer_query_webgl2" : "EXT_disjoint_timer_query")), this.disjointQueryTimerExtension; + return this.disjointQueryTimerExtension == null && (this.disjointQueryTimerExtension = kc(this.gl, P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2 ? "EXT_disjoint_timer_query_webgl2" : "EXT_disjoint_timer_query")), this.disjointQueryTimerExtension; } getQueryTimerExtensionWebGL2() { return this.getQueryTimerExtension(); @@ -17229,7 +17606,7 @@ var Lu = class { return this.getQueryTimerExtension(); } beginQuery() { - if (O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2) { + if (P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2) { let o = this.gl, n = this.getQueryTimerExtensionWebGL2(), s = o.createQuery(); return o.beginQuery(n.TIME_ELAPSED_EXT, s), s; } @@ -17237,7 +17614,7 @@ var Lu = class { return e.beginQueryEXT(e.TIME_ELAPSED_EXT, t10), t10; } endQuery() { - if (O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2) { + if (P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") === 2) { let t10 = this.gl, o = this.getQueryTimerExtensionWebGL2(); t10.endQuery(o.TIME_ELAPSED_EXT); return; @@ -17246,7 +17623,7 @@ var Lu = class { e.endQueryEXT(e.TIME_ELAPSED_EXT); } async waitForQueryAndGetTime(e) { - return await y.repeatedTry(() => this.disposed || this.isQueryAvailable(e, O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))), this.getQueryTime(e, O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")); + return await y.repeatedTry(() => this.disposed || this.isQueryAvailable(e, P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))), this.getQueryTime(e, P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")); } getQueryTime(e, t10) { if (t10 === 0) @@ -17276,7 +17653,7 @@ var Lu = class { }); } pollItems() { - let e = G8(this.itemsToPoll.map((t10) => t10.isDoneFn)); + let e = oZ(this.itemsToPoll.map((t10) => t10.isDoneFn)); for (let t10 = 0; t10 <= e; ++t10) { let { resolveFn: o } = this.itemsToPoll[t10]; o(); @@ -17287,13 +17664,13 @@ var Lu = class { if (this.itemsToPoll.push({ isDoneFn: e, resolveFn: t10 }), this.itemsToPoll.length > 1) return; let o; - "setTimeoutCustom" in O().platform && (o = O().platform.setTimeoutCustom.bind(O().platform)), y.repeatedTry(() => (this.pollItems(), this.itemsToPoll.length === 0), () => 0, null, o); + "setTimeoutCustom" in P().platform && (o = P().platform.setTimeoutCustom.bind(P().platform)), y.repeatedTry(() => (this.pollItems(), this.itemsToPoll.length === 0), () => 0, null, o); } bindTextureToFrameBuffer(e) { - this.throwIfDisposed(), Nl(this.gl, e, this.framebuffer), this.debug && rc(this.gl); + this.throwIfDisposed(), jl(this.gl, e, this.framebuffer), this.debug && Nc(this.gl); } unbindTextureToFrameBuffer() { - this.outputTexture != null ? (Nl(this.gl, this.outputTexture, this.framebuffer), this.debug && rc(this.gl)) : Rf(this.gl, this.framebuffer); + this.outputTexture != null ? (jl(this.gl, this.outputTexture, this.framebuffer), this.debug && Nc(this.gl)) : Kf(this.gl, this.framebuffer); } downloadMatrixDriver(e, t10) { this.bindTextureToFrameBuffer(e); @@ -17303,10 +17680,10 @@ var Lu = class { setOutputMatrixTextureDriver(e, t10, o) { this.throwIfDisposed(); let n = this.gl; - Nl(n, e, this.framebuffer), this.debug && rc(n), this.outputTexture = e, pe(n, () => n.viewport(0, 0, t10, o)), pe(n, () => n.scissor(0, 0, t10, o)); + jl(n, e, this.framebuffer), this.debug && Nc(n), this.outputTexture = e, ce(n, () => n.viewport(0, 0, t10, o)), ce(n, () => n.scissor(0, 0, t10, o)); } setOutputMatrixWriteRegionDriver(e, t10, o, n) { - this.throwIfDisposed(), pe(this.gl, () => this.gl.scissor(e, t10, o, n)); + this.throwIfDisposed(), ce(this.gl, () => this.gl.scissor(e, t10, o, n)); } throwIfDisposed() { if (this.disposed) @@ -17317,20 +17694,20 @@ var Lu = class { throw new Error("No GPU program is currently set."); } }; -function G8(r) { +function oZ(r) { let e = 0; for (; e < r.length && r[e](); ++e) ; return e - 1; } -var { addImpl: V$, bincountImpl: Kf, bincountReduceImpl: z$, castImpl: W$, ceilImpl: U$, concatImpl: G$, equalImpl: H$, expImpl: K$, expm1Impl: q$, floorImpl: j$, gatherNdImpl: X$, gatherV2Impl: Y$, greaterImpl: Q$, greaterEqualImpl: Z$, lessImpl: J$, lessEqualImpl: eE, linSpaceImpl: tE, logImpl: rE, maxImpl: oE, maximumImpl: nE, minimumImpl: sE, multiplyImpl: aE, negImpl: iE, notEqualImpl: uE, prodImpl: pE, raggedGatherImpl: cE, raggedRangeImpl: lE, raggedTensorToTensorImpl: mE, rangeImpl: dE, rsqrtImpl: fE, scatterImpl: hE, sigmoidImpl: gE, simpleAbsImpl: qf, sliceImpl: xE, sparseFillEmptyRowsImpl: yE, sparseReshapeImpl: bE, sparseSegmentReductionImpl: jf, sqrtImpl: CE, stridedSliceImpl: SE, stringNGramsImpl: wE, stringSplitImpl: IE, stringToHashBucketFastImpl: vE, subImpl: kE, tileImpl: NE, topKImpl: TE, transposeImpl: Bu, uniqueImpl: _E } = Zp; -function Ew(r, e) { +var { addImpl: cR, bincountImpl: ah, bincountReduceImpl: lR, castImpl: mR, ceilImpl: dR, concatImpl: fR, equalImpl: hR, expImpl: gR, expm1Impl: xR, floorImpl: yR, gatherNdImpl: bR, gatherV2Impl: CR, greaterImpl: wR, greaterEqualImpl: SR, lessImpl: IR, lessEqualImpl: vR, linSpaceImpl: kR, logImpl: NR, maxImpl: TR, maximumImpl: _R, minimumImpl: $R, multiplyImpl: ER, negImpl: RR, notEqualImpl: DR, prodImpl: AR, raggedGatherImpl: FR, raggedRangeImpl: PR, raggedTensorToTensorImpl: OR, rangeImpl: MR, rsqrtImpl: LR, scatterImpl: BR, sigmoidImpl: zR, simpleAbsImpl: ih, sliceImpl: VR, sparseFillEmptyRowsImpl: WR, sparseReshapeImpl: UR, sparseSegmentReductionImpl: uh, sqrtImpl: GR, staticRegexReplaceImpl: HR, stridedSliceImpl: KR, stringNGramsImpl: qR, stringSplitImpl: jR, stringToHashBucketFastImpl: XR, subImpl: YR, tileImpl: QR, topKImpl: ZR, transposeImpl: yp, uniqueImpl: JR } = Sc; +function jI(r, e) { return ["x", "y", "z", "w", "u", "v"].slice(0, e).map((t10) => `${r}.${t10}`); } -function Et(r, e) { - return e === 1 ? [r] : Ew(r, e); +function Rt(r, e) { + return e === 1 ? [r] : jI(r, e); } -function $E(r, e) { +function eD(r, e) { if (r === 1) return "rc"; let t10 = ""; @@ -17338,16 +17715,16 @@ function $E(r, e) { t10 += e[o], o < r - 1 && (t10 += ","); return t10; } -var Xf = class { +var ph = class { constructor(e) { - if (this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true, this.outputShape = e, this.rank = e.length, this.enableShapeUniforms = lt(this.outputShape.length), this.rank === 0) + if (this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true, this.outputShape = e, this.rank = e.length, this.enableShapeUniforms = ut(this.outputShape.length), this.rank === 0) this.userCode = ` void main() { setOutput(vec4(getA(), 0., 0., 0.)); } `; else { - let t10 = Et("rc", this.rank), o = $e(this.rank), n = this.getOutOfBoundsCondition(t10), s = this.getSetup(t10), a = this.getOutput(t10); + let t10 = Rt("rc", this.rank), o = Re(this.rank), n = this.getOutOfBoundsCondition(t10), s = this.getSetup(t10), a = this.getOutput(t10); this.userCode = ` void main() { ${o} rc = getOutputCoords(); @@ -17404,9 +17781,9 @@ var Xf = class { rEdge || cEdge ? 0. : getA(${t10[3]})`; } }; -var mc = class { +var Oc = class { constructor(e, t10) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "inputShape", type: "ivec3" }], this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length); + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "inputShape", type: "ivec3" }], this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length); let o = ""; for (let n = 0; n < 4; n++) { let s = "thisRC = rc;"; @@ -17424,8 +17801,8 @@ var mc = class { `; } this.userCode = ` - ${H8(t10, this.enableShapeUniforms)} - ${this.enableShapeUniforms ? ac() : sc(e)} + ${nZ(t10, this.enableShapeUniforms)} + ${this.enableShapeUniforms ? Ec() : $c(e)} void main() { ivec3 rc = getOutputCoords(); @@ -17443,41 +17820,41 @@ var mc = class { `; } }; -function H8(r, e) { +function nZ(r, e) { return ` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${e ? A$(["r", "c", "d"], "inputShape") : ps(["r", "c", "d"], r)} + ${e ? tR(["r", "c", "d"], "inputShape") : Os(["r", "c", "d"], r)} return ivec3(r, c, d); } `; } -var Yf = class { +var ch = class { constructor(e) { - this.gpgpu = e, this.numUsedTextures = 0, this.numFreeTextures = 0, this._numBytesAllocated = 0, this._numBytesFree = 0, this.freeTextures = {}, this.logEnabled = false, this.usedTextures = {}; + this.gpgpu = e, this.numUsedTextures = 0, this.numFreeTextures = 0, this._numBytesAllocated = 0, this._numBytesFree = 0, this.freeTextures = {}, this.usedTextures = {}, this.logEnabled = false; } acquireTexture(e, t10, o) { - let n = AE(t10, o), s = RE(e, n, o); + let n = rD(t10, o), s = oD(e, n, o); s in this.freeTextures || (this.freeTextures[s] = []), s in this.usedTextures || (this.usedTextures[s] = []); - let a = EE(e, n, this.gpgpu.gl, this.gpgpu.textureConfig, o); + let a = tD(e, n, this.gpgpu.gl, this.gpgpu.textureConfig, o); if (this.freeTextures[s].length > 0) { this.numFreeTextures--, this.numUsedTextures++, this._numBytesFree -= a, this.log(); - let p = this.freeTextures[s].shift(); + let p = this.freeTextures[s].pop(); return this.usedTextures[s].push(p), p; } let i; - return n === Zt.PACKED_2X2_FLOAT32 ? i = this.gpgpu.createPackedMatrixTexture(e[0], e[1]) : n === Zt.PACKED_2X2_FLOAT16 ? i = this.gpgpu.createFloat16PackedMatrixTexture(e[0], e[1]) : n === Zt.UNPACKED_FLOAT32 ? i = this.gpgpu.createFloat32MatrixTexture(e[0], e[1]) : n === Zt.UNPACKED_FLOAT16 ? i = this.gpgpu.createFloat16MatrixTexture(e[0], e[1]) : n === Zt.PACKED_4X1_UNSIGNED_BYTE && (i = this.gpgpu.createUnsignedBytesMatrixTexture(e[0], e[1])), this.usedTextures[s].push(i), this.numUsedTextures++, this._numBytesAllocated += a, this.log(), i; + return n === er.PACKED_2X2_FLOAT32 ? i = this.gpgpu.createPackedMatrixTexture(e[0], e[1]) : n === er.PACKED_2X2_FLOAT16 ? i = this.gpgpu.createFloat16PackedMatrixTexture(e[0], e[1]) : n === er.UNPACKED_FLOAT32 ? i = this.gpgpu.createFloat32MatrixTexture(e[0], e[1]) : n === er.UNPACKED_FLOAT16 ? i = this.gpgpu.createFloat16MatrixTexture(e[0], e[1]) : n === er.PACKED_4X1_UNSIGNED_BYTE && (i = this.gpgpu.createUnsignedBytesMatrixTexture(e[0], e[1])), this.usedTextures[s].push(i), this.numUsedTextures++, this._numBytesAllocated += a, this.log(), i; } releaseTexture(e, t10, o, n) { if (this.freeTextures == null) return; - let s = AE(o, n), a = RE(t10, s, n); + let s = rD(o, n), a = oD(t10, s, n); a in this.freeTextures || (this.freeTextures[a] = []); - let i = EE(t10, s, this.gpgpu.gl, this.gpgpu.textureConfig, n), p = O().get("WEBGL_DELETE_TEXTURE_THRESHOLD"); + let i = tD(t10, s, this.gpgpu.gl, this.gpgpu.textureConfig, n), p = P().get("WEBGL_DELETE_TEXTURE_THRESHOLD"); p !== -1 && this._numBytesAllocated > p ? (this.gpgpu.deleteMatrixTexture(e.texture), this._numBytesAllocated -= i) : (this.freeTextures[a].push(e), this.numFreeTextures++, this._numBytesFree += i), this.numUsedTextures--; - let u = this.usedTextures[a], c = u.indexOf(e); - if (c < 0) + let u = this.usedTextures[a], c = u && u.indexOf(e); + if (c == null || c < 0) throw new Error("Cannot release a texture that was never provided by this texture manager"); - u.splice(c, 1), this.log(); + u[c] = u[u.length - 1], u.pop(), this.log(); } log() { if (!this.logEnabled) @@ -17513,7 +17890,7 @@ var Yf = class { } } }; -function K8(r, e) { +function sZ(r, e) { let t10 = r; if (e === t10.R32F) return 4; @@ -17529,52 +17906,52 @@ function K8(r, e) { return 4; throw new Error(`Unknown internal format ${e}`); } -function EE(r, e, t10, o, n) { - let s = q8(e, o), a; +function tD(r, e, t10, o, n) { + let s = aZ(e, o), a; if (n) { - let [p, u] = Qs(r[0], r[1]); + let [p, u] = Ea(r[0], r[1]); a = p * u; } else { - let [p, u] = Ou(r[0], r[1]); + let [p, u] = fp(r[0], r[1]); a = p * u; } - let i = K8(t10, s); + let i = sZ(t10, s); return a * i; } -function q8(r, e) { +function aZ(r, e) { switch (r) { - case Zt.PACKED_2X2_FLOAT32: - return Gf(e); - case Zt.PACKED_2X2_FLOAT16: - return Hf(e); - case Zt.UNPACKED_FLOAT32: - return zf(e); - case Zt.UNPACKED_FLOAT16: - return Wf(e); - case Zt.PACKED_4X1_UNSIGNED_BYTE: - return Uf(e); + case er.PACKED_2X2_FLOAT32: + return nh(e); + case er.PACKED_2X2_FLOAT16: + return sh(e); + case er.UNPACKED_FLOAT32: + return th(e); + case er.UNPACKED_FLOAT16: + return rh(e); + case er.PACKED_4X1_UNSIGNED_BYTE: + return oh(e); default: throw new Error(`Unknown physical texture type ${r}`); } } -function j8(r) { - return O().getBool("WEBGL_RENDER_FLOAT32_ENABLED") ? r ? Zt.PACKED_2X2_FLOAT32 : Zt.UNPACKED_FLOAT32 : r ? Zt.PACKED_2X2_FLOAT16 : Zt.UNPACKED_FLOAT16; +function iZ(r) { + return P().getBool("WEBGL_RENDER_FLOAT32_ENABLED") ? r ? er.PACKED_2X2_FLOAT32 : er.UNPACKED_FLOAT32 : r ? er.PACKED_2X2_FLOAT16 : er.UNPACKED_FLOAT16; } -function AE(r, e) { - if (r === ur.UPLOAD) - return Zt.PACKED_2X2_FLOAT32; - if (r === ur.RENDER || r == null) - return j8(e); - if (r === ur.DOWNLOAD || r === ur.PIXELS) - return Zt.PACKED_4X1_UNSIGNED_BYTE; +function rD(r, e) { + if (r === mr.UPLOAD) + return er.PACKED_2X2_FLOAT32; + if (r === mr.RENDER || r == null) + return iZ(e); + if (r === mr.DOWNLOAD || r === mr.PIXELS) + return er.PACKED_4X1_UNSIGNED_BYTE; throw new Error(`Unknown logical texture type ${r}`); } -function RE(r, e, t10) { +function oD(r, e, t10) { return `${r[0]}_${r[1]}_${e}_${t10}`; } -var Jt = class { +var tr = class { constructor(e, t10) { - this.variableNames = ["A"], this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length), this.userCode = ` + this.variableNames = ["A"], this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length), this.userCode = ` float unaryOperation(float x) { ${t10} } @@ -17588,20 +17965,20 @@ var Jt = class { `; } }; -var zt = "if (isnan(x)) return x;"; -var DE = "return x;"; -var Aw = "return abs(x);"; -var FE = "return (x >= 0.0) ? x : (exp(x) - 1.0);"; -var OE = zt + ` +var Ut = "if (isnan(x)) return x;"; +var nD = "return x;"; +var XI = "return abs(x);"; +var sD = "return (x >= 0.0) ? x : (exp(x) - 1.0);"; +var aD = Ut + ` return (x < 0.0) ? 0.0 : x; `; -var PE = zt + ` +var iD = Ut + ` return (x < 0.0) ? 0.0 : min(6.0, x); `; -var Zs = "return x;"; -var ME = "return 1.0 / (1.0 + exp(-1.0 * x));"; -var BE = "return x;"; -var VE = ` +var Ra = "return x;"; +var uD = "return 1.0 / (1.0 + exp(-1.0 * x));"; +var cD = "return x;"; +var lD = ` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -17611,7 +17988,7 @@ var VE = ` return result; `; -var zE = ` +var mD = ` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -17622,7 +17999,7 @@ var zE = ` return result; `; -var WE = ` +var dD = ` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -17633,10 +18010,10 @@ var WE = ` return result; `; -var UE = "return 1.0 / (1.0 + exp(-1.0 * x));"; -var Er = class { +var fD = "return 1.0 / (1.0 + exp(-1.0 * x));"; +var Ar = class { constructor(e, t10) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length), this.userCode = ` + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length), this.userCode = ` vec4 unaryOperation(vec4 x) { ${t10} } @@ -17650,10 +18027,10 @@ var Er = class { `; } }; -var Qf = class { +var lh = class { constructor(e) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = false, this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length); - let t10 = e.length, o = Et("rc", t10), n = $e(t10), s = $E(t10, o), a = o.slice(-2), i = t10 <= 1 ? "rc" : `vec2(${a.join(",")})`; + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = false, this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length); + let t10 = e.length, o = Rt("rc", t10), n = Re(t10), s = eD(t10, o), a = o.slice(-2), i = t10 <= 1 ? "rc" : `vec2(${a.join(",")})`; this.userCode = ` void main() { ${n} rc = getOutputCoords(); @@ -17664,39 +18041,39 @@ var Qf = class { `; } }; -var Y8 = Vt.whereImpl; -var Q8 = 1e-7; -var Z8 = 1e-4; -var Zf = {}; -function J8(r) { - return r in Zf || (Zf[r] = {}), Zf[r]; +var pZ = Wt.whereImpl; +var cZ = 1e-7; +var lZ = 1e-4; +var mh = {}; +function mZ(r) { + return r in mh || (mh[r] = {}), mh[r]; } -var eY = O().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"); -var tY = 600; -function rY() { - return O().global.screen == null ? 1024 : O().global.screen.height * O().global.screen.width * window.devicePixelRatio * tY / 1024 / 1024; +var dZ = P().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"); +var fZ = 600; +function hZ() { + return P().global.screen == null ? 1024 : P().global.screen.height * P().global.screen.width * window.devicePixelRatio * fZ / 1024 / 1024; } -var Vi = class extends Zr { +var hu = class extends ro { + nextDataId() { + return hu.nextDataId++; + } constructor(e) { - if (super(), this.pendingRead = /* @__PURE__ */ new WeakMap(), this.pendingDisposal = /* @__PURE__ */ new WeakSet(), this.dataRefCount = /* @__PURE__ */ new WeakMap(), this.numBytesInGPU = 0, this.uploadWaitMs = 0, this.downloadWaitMs = 0, this.lastGlFlushTime = 0, this.warnedAboutMemory = false, this.pendingDeletes = 0, this.disposed = false, !O().getBool("HAS_WEBGL")) + if (super(), this.pendingRead = /* @__PURE__ */ new WeakMap(), this.pendingDisposal = /* @__PURE__ */ new WeakSet(), this.dataRefCount = /* @__PURE__ */ new WeakMap(), this.numBytesInGPU = 0, this.uploadWaitMs = 0, this.downloadWaitMs = 0, this.lastGlFlushTime = 0, this.warnedAboutMemory = false, this.pendingDeletes = 0, this.disposed = false, !P().getBool("HAS_WEBGL")) throw new Error("WebGL is not supported on this device"); let t10; if (e != null) { - if (e instanceof Lu) + if (e instanceof xp) t10 = e; else { - let o = zr(O().getNumber("WEBGL_VERSION"), e); - t10 = new Lu(o); + let o = Gr(P().getNumber("WEBGL_VERSION"), e); + t10 = new xp(o); } this.binaryCache = {}, this.gpgpuCreatedLocally = false; } else { - let o = zr(O().getNumber("WEBGL_VERSION")); - t10 = new Lu(o), this.binaryCache = J8(O().getNumber("WEBGL_VERSION")), this.gpgpuCreatedLocally = true; + let o = Gr(P().getNumber("WEBGL_VERSION")); + t10 = new xp(o), this.binaryCache = mZ(P().getNumber("WEBGL_VERSION")), this.gpgpuCreatedLocally = true; } - this.gpgpu = t10, this.canvas = this.gpgpu.gl.canvas, this.textureManager = new Yf(this.gpgpu), this.numMBBeforeWarning = rY(), this.texData = new Fo(this, sr()); - } - nextDataId() { - return Vi.nextDataId++; + this.gpgpu = t10, this.canvas = this.gpgpu.gl.canvas, this.textureManager = new ch(this.gpgpu), this.numMBBeforeWarning = hZ(), this.texData = new Lo(this, ur()); } numDataIds() { return this.texData.numDataIds() - this.pendingDeletes; @@ -17704,14 +18081,14 @@ var Vi = class extends Zr { writeTexture(e, t10, o, n, s, a) { let i = this.makeTensorInfo(t10, o), p = this.texData.get(i.dataId); p.isPacked = false, p.texture = { texture: e, texShape: [n, s] }, p.texShape = [n, s]; - let u = oc(t10), c = new Tl(u, false, a), l = this.runWebGLProgram(c, [i], o, [[n, s]]); + let u = Tc(t10), c = new Xl(u, false, a), l = this.runWebGLProgram(c, [i], o, [[n, s]]); return l.shape = t10, p.texture = null, this.disposeIntermediateTensorInfo(i), l.dataId; } write(e, t10, o) { - if ((O().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS") || O().getBool("DEBUG")) && this.checkNumericalProblems(e), o === "complex64" && e != null) + if ((P().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS") || P().getBool("DEBUG")) && this.checkNumericalProblems(e), o === "complex64" && e != null) throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag)."); let n = { id: this.nextDataId() }; - return this.texData.set(n, { shape: t10, dtype: o, values: e, usage: ur.UPLOAD, refCount: 1 }), n; + return this.texData.set(n, { shape: t10, dtype: o, values: e, usage: mr.UPLOAD, refCount: 1 }), n; } refCount(e) { return this.texData.has(e) ? this.texData.get(e).refCount : 0; @@ -17727,9 +18104,9 @@ var Vi = class extends Zr { } } move(e, t10, o, n, s) { - if (O().getBool("DEBUG") && this.checkNumericalProblems(t10), n === "complex64") + if (P().getBool("DEBUG") && this.checkNumericalProblems(t10), n === "complex64") throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag)."); - this.texData.set(e, { shape: o, dtype: n, values: t10, usage: ur.UPLOAD, refCount: s }); + this.texData.set(e, { shape: o, dtype: n, values: t10, usage: mr.UPLOAD, refCount: s }); } disposeIntermediateTensorInfo(e) { this.disposeData(e.dataId); @@ -17738,7 +18115,7 @@ var Vi = class extends Zr { let t10 = this.texData.get(e), { values: o, dtype: n, complexTensorInfos: s, slice: a, shape: i, isPacked: p } = t10; if (a != null) { let m; - p ? m = new Er(i, Zs) : m = new Jt(i, Zs); + p ? m = new Ar(i, Ra) : m = new tr(i, Ra); let d = this.runWebGLProgram(m, [{ dataId: e, shape: i, dtype: n }], n), f = this.readSync(d.dataId); return this.disposeIntermediateTensorInfo(d), f; } @@ -17751,7 +18128,7 @@ var Vi = class extends Zr { let l; if (n === "complex64") { let m = this.readSync(s.real.dataId), d = this.readSync(s.imag.dataId); - l = S.mergeRealAndImagArrays(m, d); + l = C.mergeRealAndImagArrays(m, d); } else l = this.getValuesFromTexture(e); return u && (this.downloadWaitMs += y.now() - c), this.convertAndCacheOnCPU(e, l); @@ -17764,25 +18141,25 @@ var Vi = class extends Zr { let t10 = this.texData.get(e), { values: o, shape: n, slice: s, dtype: a, complexTensorInfos: i, isPacked: p } = t10; if (s != null) { let f; - p ? f = new Er(n, Zs) : f = new Jt(n, Zs); + p ? f = new Ar(n, Ra) : f = new tr(n, Ra); let h = this.runWebGLProgram(f, [{ dataId: e, shape: n, dtype: a }], a), g = this.read(h.dataId); return this.disposeIntermediateTensorInfo(h), g; } if (o != null) return this.convertAndCacheOnCPU(e); - if (O().getBool("DEBUG") && !O().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED") && O().getNumber("WEBGL_VERSION") === 2) + if (P().getBool("DEBUG") && !P().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED") && P().getNumber("WEBGL_VERSION") === 2) throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported."); let u = null, c; - if (a !== "complex64" && O().get("WEBGL_BUFFER_SUPPORTED")) { + if (a !== "complex64" && P().get("WEBGL_BUFFER_SUPPORTED")) { c = this.decode(e); let f = this.texData.get(c.dataId); - u = this.gpgpu.createBufferFromTexture(f.texture.texture, ...Il(n)); + u = this.gpgpu.createBufferFromTexture(f.texture.texture, ...Hl(n)); } this.pendingRead.set(e, []), a !== "complex64" && await this.gpgpu.createAndWaitForFence(); let l; if (a === "complex64") { let f = await Promise.all([this.read(i.real.dataId), this.read(i.imag.dataId)]), h = f[0], g = f[1]; - l = S.mergeRealAndImagArrays(h, g); + l = C.mergeRealAndImagArrays(h, g); } else if (u == null) l = this.getValuesFromTexture(e); else { @@ -17791,10 +18168,10 @@ var Vi = class extends Zr { } if (c != null && this.disposeIntermediateTensorInfo(c), u != null) { let f = this.gpgpu.gl; - pe(f, () => f.deleteBuffer(u)); + ce(f, () => f.deleteBuffer(u)); } let m = this.convertAndCacheOnCPU(e, l), d = this.pendingRead.get(e); - return this.pendingRead.delete(e), d.forEach((f) => f(m)), this.pendingDisposal.has(e) && (this.pendingDisposal.delete(e), this.disposeData(e) && sr().removeDataId(e, this), this.pendingDeletes--), m; + return this.pendingRead.delete(e), d.forEach((f) => f(m)), this.pendingDisposal.has(e) && (this.pendingDisposal.delete(e), this.disposeData(e) && ur().removeDataId(e, this), this.pendingDeletes--), m; } readToGPU(e, t10 = {}) { let o = this.texData.get(e), { values: n, shape: s, slice: a, dtype: i, isPacked: p, texture: u } = o; @@ -17802,13 +18179,13 @@ var Vi = class extends Zr { throw new Error("Does not support reading texture for complex64 dtype."); if (a != null) { let d; - p ? d = new Er(s, Zs) : d = new Jt(s, Zs); + p ? d = new Ar(s, Ra) : d = new tr(s, Ra); let f = this.runWebGLProgram(d, [{ dataId: e, shape: s, dtype: i }], i), h = this.readToGPU(f, t10); return this.disposeIntermediateTensorInfo(f), h; } if (u == null) throw n != null ? new Error("Data is not on GPU but on CPU.") : new Error("There is no data on GPU or CPU."); - let c = this.decode(e, t10.customTexShape), l = sr().makeTensorFromTensorInfo(c), m = this.texData.get(c.dataId); + let c = this.decode(e, t10.customTexShape), l = ur().makeTensorFromTensorInfo(c), m = this.texData.get(c.dataId); return Object.assign({ tensorRef: l }, m.texture); } bufferSync(e) { @@ -17816,31 +18193,31 @@ var Vi = class extends Zr { if (e.dtype === "string") try { let o = t10.map((n) => y.decodeString(n)); - return le(e.shape, e.dtype, o); + return me(e.shape, e.dtype, o); } catch (o) { throw new Error("Failed to decode encoded string bytes into utf-8"); } - return le(e.shape, e.dtype, t10); + return me(e.shape, e.dtype, t10); } checkNumericalProblems(e) { if (e != null) for (let t10 = 0; t10 < e.length; t10++) { let o = e[t10]; - if (!KS(o)) - throw O().getBool("WEBGL_RENDER_FLOAT32_CAPABLE") ? Error(`The value ${o} cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`) : Error(`The value ${o} cannot be represented on this device.`); + if (!cI(o)) + throw P().getBool("WEBGL_RENDER_FLOAT32_CAPABLE") ? Error(`The value ${o} cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`) : Error(`The value ${o} cannot be represented on this device.`); } } getValuesFromTexture(e) { let { shape: t10, dtype: o, isPacked: n } = this.texData.get(e), s = y.sizeFromShape(t10); - if (O().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")) { - let m = this.decode(e), d = this.texData.get(m.dataId), f = this.gpgpu.downloadMatrixFromPackedTexture(d.texture.texture, ...Il(t10)).subarray(0, s); + if (P().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")) { + let m = this.decode(e), d = this.texData.get(m.dataId), f = this.gpgpu.downloadMatrixFromPackedTexture(d.texture.texture, ...Hl(t10)).subarray(0, s); return this.disposeIntermediateTensorInfo(m), f; } - let a = O().getBool("WEBGL_PACK") && n === true, i = a ? oc(t10) : t10, p = a ? new Bf(i) : new Lf(i), u = this.runWebGLProgram(p, [{ shape: i, dtype: o, dataId: e }], "float32"), c = this.texData.get(u.dataId), l = this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(c.texture.texture, c.texShape[0], c.texShape[1]).subarray(0, s); + let a = P().getBool("WEBGL_PACK") && n === true, i = a ? Tc(t10) : t10, p = a ? new Jf(i) : new Zf(i), u = this.runWebGLProgram(p, [{ shape: i, dtype: o, dataId: e }], "float32"), c = this.texData.get(u.dataId), l = this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(c.texture.texture, c.texShape[0], c.texShape[1]).subarray(0, s); return this.disposeIntermediateTensorInfo(u), l; } timerAvailable() { - return O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0; + return P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0; } time(e) { let t10 = this.activeTimers, o = [], n = false; @@ -17849,7 +18226,7 @@ var Vi = class extends Zr { this.activeTimers = t10, n && (this.programTimersStack = null); let i = { uploadWaitMs: this.uploadWaitMs, downloadWaitMs: this.downloadWaitMs, kernelMs: null, wallMs: null }; return (async () => { - if (O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0) { + if (P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0) { let p = await Promise.all(s); i.kernelMs = y.sum(p), i.getExtraProfileInfo = () => p.map((u, c) => ({ name: a[c], ms: u })).map((u) => `${u.name}: ${u.ms}`).join(", "); } else @@ -17861,13 +18238,13 @@ var Vi = class extends Zr { return { unreliable: false, numBytesInGPU: this.numBytesInGPU, numBytesInGPUAllocated: this.textureManager.numBytesAllocated, numBytesInGPUFree: this.textureManager.numBytesFree }; } startTimer() { - return O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0 ? this.gpgpu.beginQuery() : { startMs: y.now(), endMs: null }; + return P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0 ? this.gpgpu.beginQuery() : { startMs: y.now(), endMs: null }; } endTimer(e) { - return O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0 ? (this.gpgpu.endQuery(), e) : (e.endMs = y.now(), e); + return P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0 ? (this.gpgpu.endQuery(), e) : (e.endMs = y.now(), e); } async getQueryTime(e) { - if (O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0) + if (P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE") > 0) return this.gpgpu.waitForQueryAndGetTime(e); let t10 = e; return t10.endMs - t10.startMs; @@ -17897,30 +18274,30 @@ var Vi = class extends Zr { getDataInfo(e) { return this.texData.get(e); } - shouldExecuteOnCPU(e, t10 = eY) { - return O().getBool("WEBGL_CPU_FORWARD") && e.every((o) => this.texData.get(o.dataId).texture == null && y.sizeFromShape(o.shape) < t10); + shouldExecuteOnCPU(e, t10 = dZ) { + return P().getBool("WEBGL_CPU_FORWARD") && e.every((o) => this.texData.get(o.dataId).texture == null && y.sizeFromShape(o.shape) < t10); } getGPGPUContext() { return this.gpgpu; } where(e) { - S.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead"); + C.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead"); let t10 = e.dataSync(); - return Y8(e.shape, t10); + return pZ(e.shape, t10); } packedUnaryOp(e, t10, o) { - let n = new Er(e.shape, t10), s = this.compileAndRun(n, [e], o); - return sr().makeTensorFromTensorInfo(s); + let n = new Ar(e.shape, t10), s = this.compileAndRun(n, [e], o); + return ur().makeTensorFromTensorInfo(s); } abs(e) { if (this.shouldExecuteOnCPU([e]) && e.dtype !== "complex64") { - let n = qf(this.texData.get(e.dataId).values); + let n = ih(this.texData.get(e.dataId).values); return this.makeOutput(e.shape, e.dtype, n); } - if (O().getBool("WEBGL_PACK_UNARY_OPERATIONS")) - return this.packedUnaryOp(e, Aw, e.dtype); - let t10 = new Jt(e.shape, Aw), o = this.compileAndRun(t10, [e]); - return sr().makeTensorFromTensorInfo(o); + if (P().getBool("WEBGL_PACK_UNARY_OPERATIONS")) + return this.packedUnaryOp(e, XI, e.dtype); + let t10 = new tr(e.shape, XI), o = this.compileAndRun(t10, [e]); + return ur().makeTensorFromTensorInfo(o); } makeTensorInfo(e, t10, o) { let n; @@ -17932,18 +18309,18 @@ var Vi = class extends Zr { return this.texData.get(n).usage = null, { dataId: n, shape: e, dtype: t10 }; } makeOutput(e, t10, o) { - return sr().makeTensorFromTensorInfo(this.makeTensorInfo(e, t10, o), this); + return ur().makeTensorFromTensorInfo(this.makeTensorInfo(e, t10, o), this); } unpackTensor(e) { - let t10 = new Qf(e.shape); + let t10 = new lh(e.shape); return this.runWebGLProgram(t10, [e], e.dtype); } packTensor(e) { - let t10 = new Xf(e.shape), o = true; + let t10 = new ph(e.shape), o = true; return this.runWebGLProgram(t10, [e], e.dtype, null, o); } packedReshape(e, t10) { - let o = [Ua(e.shape), ...Ga(e.shape)], n = { dtype: e.dtype, shape: o, dataId: e.dataId }, s = [Ua(t10), ...Ga(t10)], a = new mc(s, o), i = true, p = [o], u = this.runWebGLProgram(a, [n], e.dtype, p, i); + let o = [di(e.shape), ...fi(e.shape)], n = { dtype: e.dtype, shape: o, dataId: e.dataId }, s = [di(t10), ...fi(t10)], a = new Oc(s, o), i = true, p = [o], u = this.runWebGLProgram(a, [n], e.dtype, p, i); return { dataId: u.dataId, shape: t10, dtype: u.dtype }; } decode(e, t10) { @@ -17952,15 +18329,15 @@ var Vi = class extends Zr { let m = y.sizeFromShape(s), d = t10[0] * t10[1] * 4; y.assert(m <= d, () => "customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."); } - let i = oc(s), p; - n ? p = new Mf(i) : p = new Pf(i); - let u = true, c = [t10 != null ? t10 : Il(i)], l = this.runWebGLProgram(p, [{ shape: i, dtype: a, dataId: e }], a, c, u, t10); + let i = Tc(s), p; + n ? p = new Qf(i) : p = new Yf(i); + let u = true, c = [t10 != null ? t10 : Hl(i)], l = this.runWebGLProgram(p, [{ shape: i, dtype: a, dataId: e }], a, c, u, t10); return { dtype: a, shape: s, dataId: l.dataId }; } runWebGLProgram(e, t10, o, n, s = false, a) { let i = this.makeTensorInfo(e.outputShape, o), p = this.texData.get(i.dataId); - if (e.packedOutput && (p.isPacked = true), e.outPackingScheme === Li.DENSE) { - let x = a != null ? a : Il(e.outputShape); + if (e.packedOutput && (p.isPacked = true), e.outPackingScheme === du.DENSE) { + let x = a != null ? a : Hl(e.outputShape); p.texShape = x.map((b) => b * 2); } if (e.outTexUsage != null && (p.usage = e.outTexUsage), y.sizeFromShape(i.shape) === 0) @@ -17970,27 +18347,27 @@ var Vi = class extends Zr { throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts."); let b = this.texData.get(x.dataId); if (b.texture == null) { - if (!e.packedInputs && y.sizeFromShape(x.shape) <= O().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM")) + if (!e.packedInputs && y.sizeFromShape(x.shape) <= P().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM")) return { shape: x.shape, texData: null, isUniform: true, uniformValues: b.values }; e.packedInputs && (b.isPacked = true, b.shape = x.shape); } if (this.uploadToGPU(x.dataId), !!b.isPacked != !!e.packedInputs) x = b.isPacked ? this.unpackTensor(x) : this.packTensor(x), u.push(x), b = this.texData.get(x.dataId); - else if (b.isPacked && !Bi(b.shape, x.shape)) { - let C = x, w = x.shape; - x.shape = b.shape, x = this.packedReshape(x, w), u.push(x), b = this.texData.get(x.dataId), C.shape = w; + else if (b.isPacked && !fu(b.shape, x.shape)) { + let w = x, S = x.shape; + x.shape = b.shape, x = this.packedReshape(x, S), u.push(x), b = this.texData.get(x.dataId), w.shape = S; } return { shape: x.shape, texData: b, isUniform: false }; }); this.uploadToGPU(i.dataId); - let l = { shape: i.shape, texData: p, isUniform: false }, m = B$(e, c, l), d = this.getAndSaveBinary(m, () => M$(this.gpgpu, e, c, l)), f = this.activeTimers != null, h; - f && (h = this.startTimer()), O().get("ENGINE_COMPILE_ONLY") || L$(this.gpgpu, d, c, l, n), u.forEach((x) => this.disposeIntermediateTensorInfo(x)), f && (h = this.endTimer(h), this.activeTimers.push({ name: e.constructor.name, query: this.getQueryTime(h) })); - let g = O().get("WEBGL_FLUSH_THRESHOLD"); + let l = { shape: i.shape, texData: p, isUniform: false }, m = pR(e, c, l), d = this.getAndSaveBinary(m, () => iR(this.gpgpu, e, c, l)), f = this.activeTimers != null, h; + f && (h = this.startTimer()), P().get("ENGINE_COMPILE_ONLY") || uR(this.gpgpu, d, c, l, n), u.forEach((x) => this.disposeIntermediateTensorInfo(x)), f && (h = this.endTimer(h), this.activeTimers.push({ name: e.constructor.name, query: this.getQueryTime(h) })); + let g = P().get("WEBGL_FLUSH_THRESHOLD"); if (g > 0) { let x = y.now(); x - this.lastGlFlushTime > g && (this.gpgpu.gl.flush(), this.lastGlFlushTime = x); } - if (!O().getBool("WEBGL_LAZILY_UNPACK") && p.isPacked && s === false) { + if (!P().getBool("WEBGL_LAZILY_UNPACK") && p.isPacked && s === false) { let x = this.unpackTensor(i); return this.disposeIntermediateTensorInfo(i), x; } @@ -18006,24 +18383,24 @@ var Vi = class extends Zr { return this.textureManager; } dispose() { - this.disposed || (O().getBool("IS_TEST") || Object.keys(this.binaryCache).forEach((t10) => { + this.disposed || (P().getBool("IS_TEST") || Object.keys(this.binaryCache).forEach((t10) => { this.gpgpu.deleteProgram(this.binaryCache[t10].webGLProgram), delete this.binaryCache[t10]; }), this.textureManager.dispose(), this.canvas != null && typeof HTMLCanvasElement != "undefined" && this.canvas instanceof HTMLCanvasElement ? this.canvas.remove() : this.canvas = null, this.gpgpuCreatedLocally && (this.gpgpu.program = null, this.gpgpu.dispose()), this.disposed = true); } floatPrecision() { - return this.floatPrecisionValue == null && (this.floatPrecisionValue = Ee(() => { - if (!O().get("WEBGL_RENDER_FLOAT32_ENABLED")) { - let e = O().getBool("DEBUG"); - O().set("DEBUG", false); - let t10 = this.abs(Ce(1e-8)).dataSync()[0]; - if (O().set("DEBUG", e), t10 > 0) + return this.floatPrecisionValue == null && (this.floatPrecisionValue = De(() => { + if (!P().get("WEBGL_RENDER_FLOAT32_ENABLED")) { + let e = P().getBool("DEBUG"); + P().set("DEBUG", false); + let t10 = this.abs(ke(1e-8)).dataSync()[0]; + if (P().set("DEBUG", e), t10 > 0) return 32; } return 16; })), this.floatPrecisionValue; } epsilon() { - return this.floatPrecision() === 32 ? Q8 : Z8; + return this.floatPrecision() === 32 ? cZ : lZ; } uploadToGPU(e) { let t10 = this.texData.get(e), { shape: o, dtype: n, values: s, texture: a, usage: i, isPacked: p } = t10; @@ -18032,13 +18409,13 @@ var Vi = class extends Zr { let u = this.activeTimers != null, c; u && (c = y.now()); let l = t10.texShape; - if (l == null && (l = sw(o, p), t10.texShape = l), s != null) { - let m = oc(o), d, f = l[1], h = l[0], g = s instanceof Uint8Array || s instanceof Uint8ClampedArray; - (p || !g) && ([f, h] = Qs(l[0], l[1])), p ? d = new Vf(m, g) : d = new Tl(m, g); - let x = g ? [h, f] : l, b = this.makeTensorInfo(x, n), C = this.texData.get(b.dataId); - g ? C.usage = ur.PIXELS : C.usage = ur.UPLOAD, C.texShape = x, this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId), f, h, s); - let w = [[h, f]], k = true, _ = this.runWebGLProgram(d, [b], n, w, k), E = this.texData.get(_.dataId); - t10.texShape = E.texShape, t10.isPacked = E.isPacked, t10.usage = E.usage, O().get("ENGINE_COMPILE_ONLY") ? this.disposeData(_.dataId) : (t10.texture = E.texture, t10.values = null, this.texData.delete(_.dataId)), this.disposeIntermediateTensorInfo(b), u && (this.uploadWaitMs += y.now() - c); + if (l == null && (l = II(o, p), t10.texShape = l), s != null) { + let m = Tc(o), d, f = l[1], h = l[0], g = s instanceof Uint8Array || s instanceof Uint8ClampedArray; + (p || !g) && ([f, h] = Ea(l[0], l[1])), p ? d = new eh(m, g) : d = new Xl(m, g); + let x = g ? [h, f] : l, b = this.makeTensorInfo(x, n), w = this.texData.get(b.dataId); + g ? w.usage = mr.PIXELS : w.usage = mr.UPLOAD, w.texShape = x, this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId), f, h, s); + let S = [[h, f]], k = true, _ = this.runWebGLProgram(d, [b], n, S, k), E = this.texData.get(_.dataId); + t10.texShape = E.texShape, t10.isPacked = E.isPacked, t10.usage = E.usage, P().get("ENGINE_COMPILE_ONLY") ? this.disposeData(_.dataId) : (t10.texture = E.texture, t10.values = null, this.texData.delete(_.dataId)), this.disposeIntermediateTensorInfo(b), u && (this.uploadWaitMs += y.now() - c); } else { let m = this.acquireTexture(l, i, n, p); t10.texture = m; @@ -18046,7 +18423,7 @@ var Vi = class extends Zr { } convertAndCacheOnCPU(e, t10) { let o = this.texData.get(e), { dtype: n } = o; - return t10 != null && (o.values = oY(t10, n)), o.values; + return t10 != null && (o.values = gZ(t10, n)), o.values; } acquireTexture(e, t10, o, n) { if (this.numBytesInGPU += this.computeBytes(e, o), !this.warnedAboutMemory && this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) { @@ -18083,30 +18460,31 @@ var Vi = class extends Zr { } } async checkCompletionAsync_(e) { - return this.gpgpu.gl.getProgramParameter(e.webGLProgram, this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR) ? this.checkCompletion_(e) : (await AC(), this.checkCompletionAsync_(e)); + return this.gpgpu.gl.getProgramParameter(e.webGLProgram, this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR) ? this.checkCompletion_(e) : (await Kw(), this.checkCompletionAsync_(e)); } checkCompletion_(e) { if (this.gpgpu.gl.getProgramParameter(e.webGLProgram, this.gpgpu.gl.LINK_STATUS) === false) - throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)), this.gpgpu.gl.getShaderParameter(e.fragmentShader, this.gpgpu.gl.COMPILE_STATUS) === false ? (Ef(e.source, this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)), new Error("Failed to compile fragment shader.")) : new Error("Failed to link vertex and fragment shaders."); + throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)), this.gpgpu.gl.getShaderParameter(e.fragmentShader, this.gpgpu.gl.COMPILE_STATUS) === false ? (Gf(e.source, this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)), new Error("Failed to compile fragment shader.")) : new Error("Failed to link vertex and fragment shaders."); return true; } getUniformLocations() { - for (let [, e] of Object.entries(this.binaryCache)) { - let { uniformLocations: t10, customUniformLocations: o, infLoc: n, nanLoc: s, inShapesLocations: a, inTexShapesLocations: i, outShapeLocation: p, outShapeStridesLocation: u, outTexShapeLocation: c } = mw(this.gpgpu, e.program, e.webGLProgram); - e.uniformLocations = t10, e.customUniformLocations = o, e.infLoc = n, e.nanLoc = s, e.inShapesLocations = a, e.inTexShapesLocations = i, e.outShapeLocation = p, e.outShapeStridesLocation = u, e.outTexShapeLocation = c; + for (let e of Object.values(this.binaryCache)) { + this.gpgpu.buildVao(e.webGLProgram); + let { variablesLocations: t10, customUniformLocations: o, infLoc: n, nanLoc: s, outShapeLocation: a, outShapeStridesLocation: i, outTexShapeLocation: p } = EI(this.gpgpu, e.program, e.webGLProgram); + e.variablesLocations = t10, e.customUniformLocations = o, e.infLoc = n, e.nanLoc = s, e.outShapeLocation = a, e.outShapeStridesLocation = i, e.outTexShapeLocation = p; } } createTensorFromGPUData(e, t10, o) { e.channels = e.channels || "RGBA"; - let { texture: n, height: s, width: a, channels: i } = e, p = sr().backend; + let { texture: n, height: s, width: a, channels: i } = e, p = ur().backend; if (!p.gpgpu.gl.isTexture(n)) throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'."); let u = p.writeTexture(n, t10, o, s, a, i); - return sr().makeTensorFromDataId(u, t10, o, p); + return ur().makeTensorFromDataId(u, t10, o, p); } }; -Vi.nextDataId = 0; -function oY(r, e) { +hu.nextDataId = 0; +function gZ(r, e) { if (e === "float32" || e === "complex64") return r; if (e === "int32" || e === "bool") { @@ -18117,19 +18495,19 @@ function oY(r, e) { } else throw new Error(`Unknown dtype ${e}`); } -var nY = "4.2.0"; -function GE() { - O().set("WEBGL_FORCE_F16_TEXTURES", true); +var xZ = "4.5.0"; +function hD() { + P().set("WEBGL_FORCE_F16_TEXTURES", true); } -ki.isBrowser() && Ti("webgl", () => new Vi(), 2); -var CJe = { forceHalfFloat: GE }; -var dc = ` +Zi.isBrowser() && eu("webgl", () => new hu(), 2); +var cst = { forceHalfFloat: hD }; +var Mc = ` if (isnan(a)) return a; if (isnan(b)) return b; `; -var io = class { +var lo = class { constructor(e, t10, o) { - this.variableNames = ["A", "B"], this.outputShape = S.assertAndGetBroadcastShape(t10, o), this.enableShapeUniforms = lt(this.outputShape.length), this.userCode = ` + this.variableNames = ["A", "B"], this.outputShape = C.assertAndGetBroadcastShape(t10, o), this.enableShapeUniforms = ut(this.outputShape.length), this.userCode = ` float binaryOperation(float a, float b) { ${e} } @@ -18142,17 +18520,17 @@ var io = class { `; } }; -var Js = ` +var Kr = ` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; `; -var _o = class { +var Ro = class { constructor(e, t10, o, n = false) { - this.variableNames = ["A", "B"], this.supportsBroadcasting = true, this.packedInputs = true, this.packedOutput = true, this.outputShape = S.assertAndGetBroadcastShape(t10, o); + this.variableNames = ["A", "B"], this.supportsBroadcasting = true, this.packedInputs = true, this.packedOutput = true, this.outputShape = C.assertAndGetBroadcastShape(t10, o); let s = this.outputShape.length; - this.enableShapeUniforms = lt(s); + this.enableShapeUniforms = ut(s); let a = ""; if (n) if (s === 0 || y.sizeFromShape(this.outputShape) === 1) @@ -18162,7 +18540,7 @@ var _o = class { result.w = 0.; `; else if (a = ` - ${$e(s)} coords = getOutputCoords(); + ${Re(s)} coords = getOutputCoords(); `, s === 1) this.enableShapeUniforms ? a += ` result.y = (coords + 1) >= outShape ? 0. : result.y; @@ -18174,7 +18552,7 @@ var _o = class { result.w = 0.; `; else { - let p = Et("coords", s); + let p = Rt("coords", s); this.enableShapeUniforms ? a += ` bool nextRowOutOfBounds = (${p[s - 2]} + 1) >= outShape[${s} - 2]; @@ -18210,87 +18588,87 @@ var _o = class { `; } }; -function At(r) { +function Dt(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; return t10.incRef(o.dataId), { dataId: o.dataId, shape: o.shape, dtype: o.dtype }; } -var HE = { kernelName: mo, backendName: "webgl", kernelFunc: At }; -function Ar(r) { - let { inputs: e, backend: t10 } = r, { real: o, imag: n } = e, s = t10.makeTensorInfo(o.shape, "complex64"), a = t10.texData.get(s.dataId), i = At({ inputs: { x: o }, backend: t10 }), p = At({ inputs: { x: n }, backend: t10 }); +var gD = { kernelName: xo, backendName: "webgl", kernelFunc: Dt }; +function Fr(r) { + let { inputs: e, backend: t10 } = r, { real: o, imag: n } = e, s = t10.makeTensorInfo(o.shape, "complex64"), a = t10.texData.get(s.dataId), i = Dt({ inputs: { x: o }, backend: t10 }), p = Dt({ inputs: { x: n }, backend: t10 }); return a.complexTensorInfos = { real: i, imag: p }, s; } -var KE = { kernelName: ri, backendName: "webgl", kernelFunc: Ar }; -var Rw = "return (a < 0.) ? b * a : a;"; -var Dw = ` +var xD = { kernelName: Ti, backendName: "webgl", kernelFunc: Fr }; +var YI = "return (a < 0.) ? b * a : a;"; +var QI = ` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); `; -function sY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { alpha: s } = o, a = t10.makeTensorInfo([], "float32", y.createScalarValue(s, "float32")), i = O().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new _o(Dw, n.shape, a.shape) : new io(Rw, n.shape, a.shape), p = t10.runWebGLProgram(i, [n, a], "float32"); +function yZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { alpha: s } = o, a = t10.makeTensorInfo([], "float32", y.createScalarValue(s, "float32")), i = P().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new Ro(QI, n.shape, a.shape) : new lo(YI, n.shape, a.shape), p = t10.runWebGLProgram(i, [n, a], "float32"); return t10.disposeIntermediateTensorInfo(a), p; } -var qE = { kernelName: ln, backendName: "webgl", kernelFunc: sY }; -var Fw = "return (a < 0.) ? b * a : a;"; -var Ow = ` +var yD = { kernelName: _n, backendName: "webgl", kernelFunc: yZ }; +var ZI = "return (a < 0.) ? b * a : a;"; +var JI = ` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); `; -function aY(r) { - let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e, s = O().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new _o(Ow, o.shape, n.shape) : new io(Fw, o.shape, n.shape); +function bZ(r) { + let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e, s = P().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new Ro(JI, o.shape, n.shape) : new lo(ZI, o.shape, n.shape); return t10.runWebGLProgram(s, [o, n], "float32"); } -var jE = { kernelName: Rn, backendName: "webgl", kernelFunc: aY }; -var $o = "if (isnan(x)) return x;"; -function he({ opSnippet: r, packedOpSnippet: e, cpuKernelImpl: t10, dtype: o }) { +var bD = { kernelName: Jn, backendName: "webgl", kernelFunc: bZ }; +var Do = "if (isnan(x)) return x;"; +function ge({ opSnippet: r, packedOpSnippet: e, cpuKernelImpl: t10, dtype: o }) { return ({ inputs: n, backend: s }) => { let { x: a } = n, i = s, p = o || a.dtype; if (i.shouldExecuteOnCPU([a]) && t10 != null) { let l = i.texData.get(a.dataId), m = t10(l.values, p); return i.makeTensorInfo(a.shape, p, m); } - let u = O().getBool("WEBGL_PACK_UNARY_OPERATIONS") && e != null, c; - return u ? c = new Er(a.shape, e) : c = new Jt(a.shape, r), i.runWebGLProgram(c, [a], p); + let u = P().getBool("WEBGL_PACK_UNARY_OPERATIONS") && e != null, c; + return u ? c = new Ar(a.shape, e) : c = new tr(a.shape, r), i.runWebGLProgram(c, [a], p); }; } -function tt({ opSnippet: r, packedOpSnippet: e, checkOutOfBounds: t10 = false, supportsComplex: o = false, cpuKernelImpl: n, dtype: s }) { +function nt({ opSnippet: r, packedOpSnippet: e, checkOutOfBounds: t10 = false, supportsComplex: o = false, cpuKernelImpl: n, dtype: s }) { return ({ inputs: a, backend: i }) => { let { a: p, b: u } = a, c = i; if (o && p.dtype === "complex64") { - let f = c.texData.get(p.dataId), h = c.texData.get(u.dataId), [g, x] = [[f.complexTensorInfos.real, h.complexTensorInfos.real], [f.complexTensorInfos.imag, h.complexTensorInfos.imag]].map((C) => { - let [w, k] = C, _ = { dataId: w.dataId, dtype: w.dtype, shape: p.shape }, E = { dataId: k.dataId, dtype: k.dtype, shape: u.shape }, A = new io(r, p.shape, u.shape); - return c.runWebGLProgram(A, [_, E], dt(w.dtype, k.dtype)); - }), b = Ar({ inputs: { real: g, imag: x }, backend: c }); + let f = c.texData.get(p.dataId), h = c.texData.get(u.dataId), [g, x] = [[f.complexTensorInfos.real, h.complexTensorInfos.real], [f.complexTensorInfos.imag, h.complexTensorInfos.imag]].map((w) => { + let [S, k] = w, _ = { dataId: S.dataId, dtype: S.dtype, shape: p.shape }, E = { dataId: k.dataId, dtype: k.dtype, shape: u.shape }, R = new lo(r, p.shape, u.shape); + return c.runWebGLProgram(R, [_, E], dt(S.dtype, k.dtype)); + }), b = Fr({ inputs: { real: g, imag: x }, backend: c }); return c.disposeIntermediateTensorInfo(g), c.disposeIntermediateTensorInfo(x), b; } let l = s || dt(p.dtype, u.dtype); if ((p.dtype === "string" || u.dtype === "string" || c.shouldExecuteOnCPU([p, u])) && n != null) { - let f = c.texData.get(p.dataId).values, h = c.texData.get(u.dataId).values, g = p.dtype === "string" ? S.fromUint8ToStringArray(f) : f, x = p.dtype === "string" ? S.fromUint8ToStringArray(h) : h, [b, C] = n(p.shape, u.shape, g, x, l), w = c.makeTensorInfo(C, l), k = c.texData.get(w.dataId); - return k.values = b, w; + let f = c.texData.get(p.dataId).values, h = c.texData.get(u.dataId).values, g = p.dtype === "string" ? C.fromUint8ToStringArray(f) : f, x = p.dtype === "string" ? C.fromUint8ToStringArray(h) : h, [b, w] = n(p.shape, u.shape, g, x, l), S = c.makeTensorInfo(w, l), k = c.texData.get(S.dataId); + return k.values = b, S; } - let m = O().getBool("WEBGL_PACK_BINARY_OPERATIONS") && e != null, d; - return m ? d = new _o(e, p.shape, u.shape, t10) : d = new io(r, p.shape, u.shape), c.runWebGLProgram(d, [p, u], l); + let m = P().getBool("WEBGL_PACK_BINARY_OPERATIONS") && e != null, d; + return m ? d = new Ro(e, p.shape, u.shape, t10) : d = new lo(r, p.shape, u.shape), c.runWebGLProgram(d, [p, u], l); }; } -function Ha(r, e = false) { +function hi(r, e = false) { if (r === "linear") - return e ? BE : DE; + return e ? cD : nD; if (r === "relu") - return e ? zE : OE; + return e ? mD : aD; if (r === "elu") - return e ? VE : FE; + return e ? lD : sD; if (r === "relu6") - return e ? WE : PE; + return e ? dD : iD; if (r === "prelu") - return e ? Ow : Fw; + return e ? JI : ZI; if (r === "leakyrelu") - return e ? Dw : Rw; + return e ? QI : YI; if (r === "sigmoid") - return e ? UE : ME; + return e ? fD : uD; throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`); } -var fc = class { +var Lc = class { constructor(e, t10, o, n = false, s = false, a = false, i = null, p = false, u = false) { - this.variableNames = ["matrixA", "matrixB"], this.packedInputs = true, this.packedOutput = true, this.outputShape = o, this.enableShapeUniforms = lt(this.outputShape.length); + this.variableNames = ["matrixA", "matrixB"], this.packedInputs = true, this.packedOutput = true, this.outputShape = o, this.enableShapeUniforms = ut(this.outputShape.length); let c = n ? e[1] : e[2], l = Math.ceil(c / 2), m = n ? "i * 2, rc.y" : "rc.y, i * 2", d = s ? "rc.z, i * 2" : "i * 2, rc.z", f = n ? ["a.xxyy", "a.zzww"] : ["a.xxzz", "a.yyww"], h = s ? ["b.xzxz", "b.ywyw"] : ["b.xyxy", "b.zwzw"], g = "", x = ""; i && (p ? g = `vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); @@ -18303,16 +18681,16 @@ var fc = class { }`, x = "result = activation(result);"); let b = a ? "result += getBiasAtOutCoords();" : ""; a && this.variableNames.push("bias"), p && this.variableNames.push("preluActivationWeights"), u && this.variableNames.push("leakyreluAlpha"); - let C = "rc.x", w = "rc.x"; - e[0] < t10[0] ? C = `imod(rc.x, ${e[0]})` : t10[0] < e[0] && (w = `imod(rc.x, ${t10[0]})`), this.userCode = ` + let w = "rc.x", S = "rc.x"; + e[0] < t10[0] ? w = `imod(rc.x, ${e[0]})` : t10[0] < e[0] && (S = `imod(rc.x, ${t10[0]})`), this.userCode = ` ${g} // Don't use uniform for sharedDimensionPacked for performance. const float sharedDimension = ${l}.0; vec4 dot2x2ARowBCol(ivec3 rc) { vec4 result = vec4(0); - int batchA = ${C}; - int batchB = ${w}; + int batchA = ${w}; + int batchB = ${S}; for (int i = 0; i < ${l}; i++) { vec4 a = getMatrixA(batchA, ${m}); vec4 b = getMatrixB(batchB, ${d}); @@ -18338,10 +18716,10 @@ var fc = class { `; } }; -var Pw = { REAL: "return areal * breal - aimag * bimag;", IMAG: "return areal * bimag + aimag * breal;" }; -var $l = class { +var ev = { REAL: "return areal * breal - aimag * bimag;", IMAG: "return areal * bimag + aimag * breal;" }; +var Ql = class { constructor(e, t10, o) { - this.variableNames = ["AReal", "AImag", "BReal", "BImag"], this.outputShape = S.assertAndGetBroadcastShape(t10, o), this.userCode = ` + this.variableNames = ["AReal", "AImag", "BReal", "BImag"], this.outputShape = C.assertAndGetBroadcastShape(t10, o), this.userCode = ` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${e} @@ -18357,33 +18735,33 @@ var $l = class { `; } }; -var XE = "return a * b;"; -function El(r) { - let { inputs: e, backend: t10 } = r, { a: o, b: n } = e, s = S.upcastType(o.dtype, n.dtype); +var CD = "return a * b;"; +function Zl(r) { + let { inputs: e, backend: t10 } = r, { a: o, b: n } = e, s = C.upcastType(o.dtype, n.dtype); if (o.dtype === "complex64") { - let i = t10.texData.get(o.dataId), p = t10.texData.get(n.dataId), u = new $l(Pw.REAL, o.shape, n.shape), c = new $l(Pw.IMAG, o.shape, n.shape), l = [{ dataId: i.complexTensorInfos.real.dataId, dtype: i.complexTensorInfos.real.dtype, shape: o.shape }, { dataId: i.complexTensorInfos.imag.dataId, dtype: i.complexTensorInfos.imag.dtype, shape: o.shape }, { dataId: p.complexTensorInfos.real.dataId, dtype: p.complexTensorInfos.real.dtype, shape: n.shape }, { dataId: p.complexTensorInfos.imag.dataId, dtype: p.complexTensorInfos.imag.dtype, shape: n.shape }], m = t10.runWebGLProgram(u, l, "float32"), d = t10.runWebGLProgram(c, l, "float32"), f = Ar({ inputs: { real: m, imag: d }, backend: t10 }); + let i = t10.texData.get(o.dataId), p = t10.texData.get(n.dataId), u = new Ql(ev.REAL, o.shape, n.shape), c = new Ql(ev.IMAG, o.shape, n.shape), l = [{ dataId: i.complexTensorInfos.real.dataId, dtype: i.complexTensorInfos.real.dtype, shape: o.shape }, { dataId: i.complexTensorInfos.imag.dataId, dtype: i.complexTensorInfos.imag.dtype, shape: o.shape }, { dataId: p.complexTensorInfos.real.dataId, dtype: p.complexTensorInfos.real.dtype, shape: n.shape }, { dataId: p.complexTensorInfos.imag.dataId, dtype: p.complexTensorInfos.imag.dtype, shape: n.shape }], m = t10.runWebGLProgram(u, l, "float32"), d = t10.runWebGLProgram(c, l, "float32"), f = Fr({ inputs: { real: m, imag: d }, backend: t10 }); return t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d), f; } if (t10.shouldExecuteOnCPU([o, n])) { - let i = t10.texData.get(o.dataId), p = t10.texData.get(n.dataId), [u, c] = aE(o.shape, n.shape, i.values, p.values, s), l = t10.makeTensorInfo(c, s), m = t10.texData.get(l.dataId); + let i = t10.texData.get(o.dataId), p = t10.texData.get(n.dataId), [u, c] = ER(o.shape, n.shape, i.values, p.values, s), l = t10.makeTensorInfo(c, s), m = t10.texData.get(l.dataId); return m.values = u, l; } let a; - return O().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? a = new _o(XE, o.shape, n.shape) : a = new io(XE, o.shape, n.shape), t10.runWebGLProgram(a, [o, n], s); + return P().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? a = new Ro(CD, o.shape, n.shape) : a = new lo(CD, o.shape, n.shape), t10.runWebGLProgram(a, [o, n], s); } -var YE = { kernelName: kn, backendName: "webgl", kernelFunc: El }; -function QE(r, e, t10) { - let o = [Ua(r.shape), ...Ga(r.shape)], n = { dtype: r.dtype, shape: o, dataId: r.dataId }, s = [Ua(e), ...Ga(e)], a = new mc(s, o), i = true, p = [o], u = t10.runWebGLProgram(a, [n], r.dtype, p, i); +var wD = { kernelName: Kn, backendName: "webgl", kernelFunc: Zl }; +function SD(r, e, t10) { + let o = [di(r.shape), ...fi(r.shape)], n = { dtype: r.dtype, shape: o, dataId: r.dataId }, s = [di(e), ...fi(e)], a = new Oc(s, o), i = true, p = [o], u = t10.runWebGLProgram(a, [n], r.dtype, p, i); return { dataId: u.dataId, shape: e, dtype: u.dtype }; } -function re(r) { +function te(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { shape: s } = o, a = t10, i = y.sizeFromShape(n.shape), p = y.inferFromImplicitShape(s, i), u = y.sizeFromShape(p); y.assert(i === u, () => `The new shape (${p}) has ${u} elements and the old shape (${n.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`); let c = a.texData.get(n.dataId); - return c.isPacked && !Bi(n.shape, p) && !(c.texture !== null && Bi(c.shape, p)) ? QE(n, p, a) : (a.incRef(n.dataId), { dataId: n.dataId, shape: p, dtype: n.dtype }); + return c.isPacked && !fu(n.shape, p) && !(c.texture !== null && fu(c.shape, p)) ? SD(n, p, a) : (a.incRef(n.dataId), { dataId: n.dataId, shape: p, dtype: n.dtype }); } -var ZE = { kernelName: _s, backendName: "webgl", kernelFunc: re }; -var Al = class { +var ID = { kernelName: ia, backendName: "webgl", kernelFunc: te }; +var Jl = class { constructor(e, t10) { this.variableNames = ["x"]; let { windowSize: o, batchSize: n, inSize: s, outSize: a } = e; @@ -18450,7 +18828,7 @@ var Al = class { `; } }; -var Jf = class { +var dh = class { constructor(e, t10) { this.variableNames = ["x"]; let { windowSize: o, batchSize: n, inSize: s, outSize: a } = e; @@ -18557,30 +18935,30 @@ var Jf = class { `; } }; -function uY(r) { +function wZ(r) { let e = []; for (; e.length === 0 || e[e.length - 1].outSize !== 1; ) { - let t10 = e.length ? e[e.length - 1].outSize : r[1], o = S.computeOptimalWindowSize(t10); + let t10 = e.length ? e[e.length - 1].outSize : r[1], o = C.computeOptimalWindowSize(t10); e.push({ inSize: t10, windowSize: o, outSize: Math.ceil(t10 / o) }); } return e; } -function Ur(r, e, t10, o) { - let n = uY(r.shape), s = r; +function qr(r, e, t10, o) { + let n = wZ(r.shape), s = r; for (let a = 0; a < n.length; a++) { let { inSize: i, windowSize: p, outSize: u } = n[a], c, l; - t10 === "mean" ? c = a === 0 ? new Al({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }, i) : new Al({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }) : c = new Jf({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }, t10), l = s, s = o.runWebGLProgram(c, [s], e), l.dataId !== r.dataId && o.disposeIntermediateTensorInfo(l); + t10 === "mean" ? c = a === 0 ? new Jl({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }, i) : new Jl({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }) : c = new dh({ windowSize: p, inSize: i, batchSize: r.shape[0], outSize: u }, t10), l = s, s = o.runWebGLProgram(c, [s], e), l.dataId !== r.dataId && o.disposeIntermediateTensorInfo(l); } return s; } -var eh = class { +var fh = class { constructor(e, t10) { this.variableNames = ["A"]; let o = new Array(e.length); for (let a = 0; a < o.length; a++) o[a] = e[t10[a]]; this.outputShape = o, this.rank = o.length; - let n = $e(this.rank), s = pY(t10); + let n = Re(this.rank), s = SZ(t10); this.userCode = ` void main() { ${n} resRC = getOutputCoords(); @@ -18589,7 +18967,7 @@ var eh = class { `; } }; -function pY(r) { +function SZ(r) { let e = r.length; if (e > 6) throw Error(`Transpose for rank ${e} is not yet supported`); @@ -18598,7 +18976,7 @@ function pY(r) { o[r[n]] = t10[n]; return o.join(); } -var th = class { +var hh = class { constructor(e, t10) { this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true; let o = new Array(e.length); @@ -18606,7 +18984,7 @@ var th = class { o[c] = e[t10[c]]; if (this.outputShape = o, this.rank = o.length, this.rank > 6) throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`); - let n = $e(this.rank), s = Ew("rc", this.rank), a = new Array(this.rank); + let n = Re(this.rank), s = jI("rc", this.rank), a = new Array(this.rank); for (let c = 0; c < t10.length; c++) a[t10[c]] = s[c]; let i = `vec2(${a.slice(-2).join()})`, p = `++${s[this.rank - 1]} < ${o[this.rank - 1]}`, u = `getChannel(getA(${a.join()}), ${i})`; @@ -18630,99 +19008,99 @@ var th = class { `; } }; -function zi(r, e, t10) { - let o = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new th(r.shape, e) : new eh(r.shape, e); +function gu(r, e, t10) { + let o = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new hh(r.shape, e) : new fh(r.shape, e); return t10.runWebGLProgram(o, [r], r.dtype); } -function JE(r, e, t10, o) { - let n = e, s = r.shape.length, a = y.parseAxisParam(n, r.shape), i = a, p = S.getAxesPermutation(i, s), u = p != null, c = r; - u && (c = zi(r, p, o), i = S.getInnerMostAxes(i.length, s)), S.assertAxesAreInnerMostDims("sum", i, s); - let [l, m] = S.computeOutAndReduceShapes(c.shape, i), d = l; - t10 && (d = S.expandShapeToKeepDim(l, a)); - let f = y.sizeFromShape(m), g = y.sizeFromShape(r.shape) / f, x = re({ inputs: { x: c }, attrs: { shape: [g, f] }, backend: o }), b = Ta(r.dtype), C = Ur(x, b, "sum", o), w = re({ inputs: { x: C }, attrs: { shape: d }, backend: o }); - return o.disposeIntermediateTensorInfo(x), o.disposeIntermediateTensorInfo(C), u && o.disposeIntermediateTensorInfo(c), w; +function vD(r, e, t10, o) { + let n = e, s = r.shape.length, a = y.parseAxisParam(n, r.shape), i = a, p = C.getAxesPermutation(i, s), u = p != null, c = r; + u && (c = gu(r, p, o), i = C.getInnerMostAxes(i.length, s)), C.assertAxesAreInnerMostDims("sum", i, s); + let [l, m] = C.computeOutAndReduceShapes(c.shape, i), d = l; + t10 && (d = C.expandShapeToKeepDim(l, a)); + let f = y.sizeFromShape(m), g = y.sizeFromShape(r.shape) / f, x = te({ inputs: { x: c }, attrs: { shape: [g, f] }, backend: o }), b = Za(r.dtype), w = qr(x, b, "sum", o), S = te({ inputs: { x: w }, attrs: { shape: d }, backend: o }); + return o.disposeIntermediateTensorInfo(x), o.disposeIntermediateTensorInfo(w), u && o.disposeIntermediateTensorInfo(c), S; } -function Vu(r) { +function bp(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - return JE(n, s, a, t10); + return vD(n, s, a, t10); } -var eA = { kernelName: Kn, backendName: "webgl", kernelFunc: Vu }; -function yt(r) { +var kD = { kernelName: ys, backendName: "webgl", kernelFunc: bp }; +function bt(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { perm: s } = o, a = t10, i = n.shape.length, p = new Array(i); for (let c = 0; c < p.length; c++) p[c] = n.shape[s[c]]; let u; if (a.shouldExecuteOnCPU([n])) { - let l = a.texData.get(n.dataId).values, m = Bu(l, n.shape, n.dtype, s, p); + let l = a.texData.get(n.dataId).values, m = yp(l, n.shape, n.dtype, s, p); u = a.makeTensorInfo(p, n.dtype); let d = a.texData.get(u.dataId); d.values = m; } else - u = zi(n, s, a); + u = gu(n, s, a); return u; } -var tA = { kernelName: ro, backendName: "webgl", kernelFunc: yt }; -var Mw = 1e3; -function zu({ a: r, b: e, transposeA: t10, transposeB: o, backend: n, bias: s = null, preluActivationWeights: a = null, leakyreluAlpha: i = 0, activation: p = null }) { - let u = r.shape.length, c = e.shape.length, l = t10 ? r.shape[u - 2] : r.shape[u - 1], m = o ? e.shape[c - 1] : e.shape[c - 2], d = t10 ? r.shape[u - 1] : r.shape[u - 2], f = o ? e.shape[c - 2] : e.shape[c - 1], h = r.shape.slice(0, -2), g = e.shape.slice(0, -2), x = y.sizeFromShape(h), b = y.sizeFromShape(g), w = yr.assertAndGetBroadcastShape(r.shape.slice(0, -2), e.shape.slice(0, -2)).concat([d, f]); +var ND = { kernelName: ao, backendName: "webgl", kernelFunc: bt }; +var tv = 1e3; +function Cp({ a: r, b: e, transposeA: t10, transposeB: o, backend: n, bias: s = null, preluActivationWeights: a = null, leakyreluAlpha: i = 0, activation: p = null }) { + let u = r.shape.length, c = e.shape.length, l = t10 ? r.shape[u - 2] : r.shape[u - 1], m = o ? e.shape[c - 1] : e.shape[c - 2], d = t10 ? r.shape[u - 1] : r.shape[u - 2], f = o ? e.shape[c - 2] : e.shape[c - 1], h = r.shape.slice(0, -2), g = e.shape.slice(0, -2), x = y.sizeFromShape(h), b = y.sizeFromShape(g), S = Sr.assertAndGetBroadcastShape(r.shape.slice(0, -2), e.shape.slice(0, -2)).concat([d, f]); y.assert(l === m, () => `Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t10} and transposeB=${o} must match.`); - let k = t10 ? [x, l, d] : [x, d, l], _ = o ? [b, f, m] : [b, m, f], E = re({ inputs: { x: r }, backend: n, attrs: { shape: k } }), A = re({ inputs: { x: e }, backend: n, attrs: { shape: _ } }), R = [E, A], D = Math.max(x, b), P = t10 ? E.shape[1] : E.shape[2], M = s != null, L = a != null, V = p === "leakyrelu", z = p != null ? Ha(p, true) : null, U = M || L || V || z != null, K; - if ((d === 1 || f === 1) && P > Mw && U === false) { - let q = E, Z = A; - t10 && (q = yt({ inputs: { x: E }, backend: n, attrs: { perm: [0, 2, 1] } }), R.push(q)), o && (Z = yt({ inputs: { x: A }, backend: n, attrs: { perm: [0, 2, 1] } }), R.push(Z)); - let ee = f !== 1, oe = f === 1, J = q; - ee && (J = re({ inputs: { x: q }, backend: n, attrs: { shape: [D, P, 1] } }), R.push(J)); - let te = f === 1 ? 2 : 1, ie = Z; - oe && (ie = re({ inputs: { x: Z }, backend: n, attrs: { shape: [D, 1, P] } }), R.push(ie)); - let ce = El({ inputs: { a: J, b: ie }, backend: n }); - K = Vu({ inputs: { x: ce }, backend: n, attrs: { axis: te, keepDims: true } }), R.push(ce); + let k = t10 ? [x, l, d] : [x, d, l], _ = o ? [b, f, m] : [b, m, f], E = te({ inputs: { x: r }, backend: n, attrs: { shape: k } }), R = te({ inputs: { x: e }, backend: n, attrs: { shape: _ } }), D = [E, R], F = Math.max(x, b), O = t10 ? E.shape[1] : E.shape[2], M = s != null, L = a != null, B = p === "leakyrelu", z = p != null ? hi(p, true) : null, U = M || L || B || z != null, j; + if ((d === 1 || f === 1) && O > tv && U === false) { + let X = E, J = R; + t10 && (X = bt({ inputs: { x: E }, backend: n, attrs: { perm: [0, 2, 1] } }), D.push(X)), o && (J = bt({ inputs: { x: R }, backend: n, attrs: { perm: [0, 2, 1] } }), D.push(J)); + let re = f !== 1, ne = f === 1, ee = X; + re && (ee = te({ inputs: { x: X }, backend: n, attrs: { shape: [F, O, 1] } }), D.push(ee)); + let oe = f === 1 ? 2 : 1, ie = J; + ne && (ie = te({ inputs: { x: J }, backend: n, attrs: { shape: [F, 1, O] } }), D.push(ie)); + let le = Zl({ inputs: { a: ee, b: ie }, backend: n }); + j = bp({ inputs: { x: le }, backend: n, attrs: { axis: oe, keepDims: true } }), D.push(le); } else { - let q = dt(r.dtype, e.dtype), Z = new fc(k, _, [D, d, f], t10, o, M, z, L, V), ee = [E, A]; - if (s != null && ee.push(s), L && ee.push(a), V) { - let oe = n.makeTensorInfo([], "float32", y.createScalarValue(i, "float32")); - ee.push(oe), R.push(oe); + let X = dt(r.dtype, e.dtype), J = new Lc(k, _, [F, d, f], t10, o, M, z, L, B), re = [E, R]; + if (s != null && re.push(s), L && re.push(a), B) { + let ne = n.makeTensorInfo([], "float32", y.createScalarValue(i, "float32")); + re.push(ne), D.push(ne); } - K = n.runWebGLProgram(Z, ee, q); + j = n.runWebGLProgram(J, re, X); } - let H = re({ inputs: { x: K }, backend: n, attrs: { shape: w } }); - R.push(K); - for (let q of R) - n.disposeIntermediateTensorInfo(q); + let H = te({ inputs: { x: j }, backend: n, attrs: { shape: S } }); + D.push(j); + for (let X of D) + n.disposeIntermediateTensorInfo(X); return H; } -function cY(r) { +function IZ(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s, bias: a, preluActivationWeights: i } = e, { transposeA: p, transposeB: u, activation: c, leakyreluAlpha: l } = o; - return zu({ a: n, b: s, transposeA: p, transposeB: u, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: l, activation: c }); + return Cp({ a: n, b: s, transposeA: p, transposeB: u, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: l, activation: c }); } -var rA = { kernelName: ho, backendName: "webgl", kernelFunc: cY }; -var oA = "return abs(x);"; -function lY(r) { +var TD = { kernelName: bo, backendName: "webgl", kernelFunc: IZ }; +var _D = "return abs(x);"; +function vZ(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (t10.shouldExecuteOnCPU([o]) && o.dtype !== "complex64") { - let s = t10.texData.get(o.dataId), a = qf(s.values); + let s = t10.texData.get(o.dataId), a = ih(s.values); return t10.makeTensorInfo(o.shape, o.dtype, a); } let n; - return O().getBool("WEBGL_PACK_UNARY_OPERATIONS") ? n = new Er(o.shape, oA) : n = new Jt(o.shape, oA), t10.runWebGLProgram(n, [o], o.dtype); + return P().getBool("WEBGL_PACK_UNARY_OPERATIONS") ? n = new Ar(o.shape, _D) : n = new tr(o.shape, _D), t10.runWebGLProgram(n, [o], o.dtype); } -var nA = { kernelName: ys, backendName: "webgl", kernelFunc: lY }; -var mY = zt + ` +var $D = { kernelName: Gs, backendName: "webgl", kernelFunc: vZ }; +var kZ = Ut + ` if (abs(x) > 1.) { return NAN; } return acos(x); `; -var dY = he({ opSnippet: mY }); -var sA = { kernelName: aa, backendName: "webgl", kernelFunc: dY }; -var fY = zt + ` +var NZ = ge({ opSnippet: kZ }); +var ED = { kernelName: zo, backendName: "webgl", kernelFunc: NZ }; +var TZ = Ut + ` if (x < 1.0) return NAN; return log(x + sqrt(x * x - 1.0));`; -var hY = he({ opSnippet: fY }); -var aA = { kernelName: ia, backendName: "webgl", kernelFunc: hY }; -var iA = "return a + b;"; -var gY = tt({ opSnippet: iA, packedOpSnippet: iA, supportsComplex: true, cpuKernelImpl: V$ }); -var uA = { kernelName: eo, backendName: "webgl", kernelFunc: gY }; -var rh = class { +var _Z = ge({ opSnippet: TZ }); +var RD = { kernelName: Vo, backendName: "webgl", kernelFunc: _Z }; +var DD = "return a + b;"; +var $Z = nt({ opSnippet: DD, packedOpSnippet: DD, supportsComplex: true, cpuKernelImpl: cR }); +var AD = { kernelName: no, backendName: "webgl", kernelFunc: $Z }; +var gh = class { constructor(e, t10) { this.outputShape = [], this.outputShape = e, this.variableNames = t10.map((s, a) => `T${a}`); let o = []; @@ -18741,7 +19119,7 @@ var rh = class { `; } }; -var oh = class { +var xh = class { constructor(e, t10) { this.outputShape = [], this.packedInputs = true, this.packedOutput = true, this.outputShape = e, this.variableNames = t10.map((s, a) => `T${a}`); let o = []; @@ -18760,43 +19138,43 @@ var oh = class { `; } }; -function nh(r) { +function yh(r) { let { inputs: e, backend: t10 } = r, o = e; if (o.length === 1) - return At({ inputs: { x: o[0] }, backend: t10 }); - if (o.length > O().get("WEBGL_MAX_TEXTURES_IN_SHADER")) { - let p = Math.floor(o.length / 2), u = nh({ inputs: o.slice(0, p), backend: t10 }), c = nh({ inputs: o.slice(p), backend: t10 }); - return nh({ inputs: [u, c], backend: t10 }); + return Dt({ inputs: { x: o[0] }, backend: t10 }); + if (o.length > P().get("WEBGL_MAX_TEXTURES_IN_SHADER")) { + let p = Math.floor(o.length / 2), u = yh({ inputs: o.slice(0, p), backend: t10 }), c = yh({ inputs: o.slice(p), backend: t10 }); + return yh({ inputs: [u, c], backend: t10 }); } - let n = o.map((p) => p.dtype).reduce((p, u) => dt(p, u)), s = o.map((p) => p.shape), i = O().getBool("WEBGL_PACK") ? new oh(o[0].shape, s) : new rh(o[0].shape, s); + let n = o.map((p) => p.dtype).reduce((p, u) => dt(p, u)), s = o.map((p) => p.shape), i = P().getBool("WEBGL_PACK") ? new xh(o[0].shape, s) : new gh(o[0].shape, s); return t10.runWebGLProgram(i, o, n); } -var pA = { kernelName: Po, backendName: "webgl", kernelFunc: nh }; -function xY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = S.getAxesPermutation(u, i), l = n; - c != null && (l = yt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = S.getInnerMostAxes(u.length, i)), S.assertAxesAreInnerMostDims("all", u, i); - let [m, d] = S.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = re({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = Ur(h, h.dtype, "all", t10), x; +var FD = { kernelName: Wo, backendName: "webgl", kernelFunc: yh }; +function EZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = C.getAxesPermutation(u, i), l = n; + c != null && (l = bt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = C.getInnerMostAxes(u.length, i)), C.assertAxesAreInnerMostDims("all", u, i); + let [m, d] = C.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = te({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = qr(h, h.dtype, "all", t10), x; if (a) { - let b = S.expandShapeToKeepDim(m, p); - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); + let b = C.expandShapeToKeepDim(m, p); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); } else - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); return t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(g), c != null && t10.disposeIntermediateTensorInfo(l), x; } -var cA = { kernelName: Mo, backendName: "webgl", kernelFunc: xY }; -function yY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = S.getAxesPermutation(u, i), l = n; - c != null && (l = yt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = S.getInnerMostAxes(u.length, i)), S.assertAxesAreInnerMostDims("any", u, i); - let [m, d] = S.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = re({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = Ur(h, h.dtype, "any", t10), x; +var PD = { kernelName: Uo, backendName: "webgl", kernelFunc: EZ }; +function RZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = C.getAxesPermutation(u, i), l = n; + c != null && (l = bt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = C.getInnerMostAxes(u.length, i)), C.assertAxesAreInnerMostDims("any", u, i); + let [m, d] = C.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = te({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = qr(h, h.dtype, "any", t10), x; if (a) { - let b = S.expandShapeToKeepDim(m, p); - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); + let b = C.expandShapeToKeepDim(m, p); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); } else - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); return t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(g), c != null && t10.disposeIntermediateTensorInfo(l), x; } -var lA = { kernelName: Lo, backendName: "webgl", kernelFunc: yY }; -var sh = class { +var OD = { kernelName: Go, backendName: "webgl", kernelFunc: RZ }; +var bh = class { constructor(e, t10, o) { this.variableNames = ["A"]; let { windowSize: n, batchSize: s, outSize: a } = e; @@ -18825,23 +19203,23 @@ var sh = class { `; } }; -var ah = class { +var Ch = class { constructor(e, t10, o, n) { this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, y.assert(e.length > 2, () => `Packed arg${o.charAt(0).toUpperCase() + o.slice(1)} supports only inputs with rank above 2.`); let s = e[e.length - 1], a = Math.ceil(s / t10); this.outputShape = e.slice(0, -1), a > 1 && this.outputShape.push(a), n || this.variableNames.push("bestIndicesA"); - let i = this.outputShape, p = i.length, u = $e(p), c = Et("coords", p), l, m; + let i = this.outputShape, p = i.length, u = Re(p), c = Rt("coords", p), l, m; if (a === 1) { m = p + 1; - let A = $e(m); + let R = Re(m); l = ` - ${A} sourceLocR = ${A}(${c.join()}, 0); + ${R} sourceLocR = ${R}(${c.join()}, 0); ++${c[p - 1]}; - ${A} sourceLocG = ${A}(${c.join()}, 0); + ${R} sourceLocG = ${R}(${c.join()}, 0); ++${c[p - 2]}; - ${A} sourceLocA = ${A}(${c.join()}, 0); + ${R} sourceLocA = ${R}(${c.join()}, 0); --${c[p - 1]}; - ${A} sourceLocB = ${A}(${c.join()}, 0); + ${R} sourceLocB = ${R}(${c.join()}, 0); --${c[p - 2]};`; } else m = p, l = ` @@ -18853,15 +19231,15 @@ var ah = class { --${c[p - 1]}; ${u} sourceLocB = coords; --${c[p - 2]};`; - let d = ["x", "y", "z", "w", "u", "v"].slice(0, m), f = "." + d[m - 1], h = d.map((A) => "int " + A), g = Et("sourceLocR", m - 1).concat("inIdx.r"), x = Et("sourceLocG", m - 1).concat("inIdx.g"), b = Et("sourceLocB", m - 1).concat("inIdx.b"), C = Et("sourceLocA", m - 1).concat("inIdx.a"), w = o === "max" ? "greaterThan" : "lessThan", k = n ? "" : ` + let d = ["x", "y", "z", "w", "u", "v"].slice(0, m), f = "." + d[m - 1], h = d.map((R) => "int " + R), g = Rt("sourceLocR", m - 1).concat("inIdx.r"), x = Rt("sourceLocG", m - 1).concat("inIdx.g"), b = Rt("sourceLocB", m - 1).concat("inIdx.b"), w = Rt("sourceLocA", m - 1).concat("inIdx.a"), S = o === "max" ? "greaterThan" : "lessThan", k = n ? "" : ` inIdx = round(vec4(getBestIndicesAChannel(${g.join()}), getBestIndicesAChannel(${x.join()}), getBestIndicesAChannel(${b.join()}), - getBestIndicesAChannel(${C.join()})));`, _ = `vec4( + getBestIndicesAChannel(${w.join()})));`, _ = `vec4( getAChannel(${g.join()}), hasNextCol ? getAChannel(${x.join()}) : 0., hasNextRow ? getAChannel(${b.join()}) : 0., - hasNextRow && hasNextCol ? getAChannel(${C.join()}) : 0.)`, E = n ? "" : ` + hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`, E = n ? "" : ` float getBestIndicesAChannel(${h.join()}) { return getChannel(getBestIndicesA(${d.join()}), vec2(${d.slice(-2).join()})); @@ -18889,7 +19267,7 @@ var ah = class { vec4 candidate = ${_}; bvec4 nan = isnan(candidate); bvec4 replace = bvec4( - vec4(${w}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); + vec4(${S}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); bestValue = vec4(replace.x ? candidate.x : bestValue.x, replace.y ? candidate.y : bestValue.y, @@ -18903,88 +19281,88 @@ var ah = class { `; } }; -function mA(r, e, t10, o = null) { +function MD(r, e, t10, o = null) { let n = e.shape[0], s = e.shape[1]; o != null && (n = o.shape[0], s = o.shape[1]); - let a = S.computeOptimalWindowSize(s), i = { windowSize: a, inSize: s, batchSize: n, outSize: Math.ceil(s / a) }, p = new sh(i, t10, o == null), u = [e]; + let a = C.computeOptimalWindowSize(s), i = { windowSize: a, inSize: s, batchSize: n, outSize: Math.ceil(s / a) }, p = new bh(i, t10, o == null), u = [e]; o != null && u.push(o); let c = r.runWebGLProgram(p, u, "int32"); if (c.shape[1] === 1) return c; - let l = mA(r, e, t10, c); + let l = MD(r, e, t10, c); return r.disposeIntermediateTensorInfo(c), l; } -function dA(r, e, t10, o = null) { - let n = o != null ? o.shape : e.shape, s = n[n.length - 1], a = S.computeOptimalWindowSize(s), i = new ah(n, a, t10, o == null), p = o == null ? [e] : [e, o], u = r.runWebGLProgram(i, p, "int32"); +function LD(r, e, t10, o = null) { + let n = o != null ? o.shape : e.shape, s = n[n.length - 1], a = C.computeOptimalWindowSize(s), i = new Ch(n, a, t10, o == null), p = o == null ? [e] : [e, o], u = r.runWebGLProgram(i, p, "int32"); if (u.shape.length === e.shape.length) { - let c = dA(r, e, t10, u); + let c = LD(r, e, t10, u); return r.disposeIntermediateTensorInfo(u), c; } return u; } -function ih(r, e, t10, o) { +function wh(r, e, t10, o) { let n = [t10]; - if (S.assertAxesAreInnerMostDims("arg" + o.charAt(0).toUpperCase() + o.slice(1), n, e.shape.length), !O().getBool("WEBGL_PACK_REDUCE") || e.shape.length <= 2) { + if (C.assertAxesAreInnerMostDims("arg" + o.charAt(0).toUpperCase() + o.slice(1), n, e.shape.length), !P().getBool("WEBGL_PACK_REDUCE") || e.shape.length <= 2) { let s = [], a = r.texData.get(e.dataId), i = a !== null && a.isPacked, p = e; i && (p = r.unpackTensor(e), s.push(p)); - let [u, c] = S.computeOutAndReduceShapes(p.shape, n), l = y.sizeFromShape(c), m = re({ inputs: { x: p }, backend: r, attrs: { shape: [-1, l] } }); + let [u, c] = C.computeOutAndReduceShapes(p.shape, n), l = y.sizeFromShape(c), m = te({ inputs: { x: p }, backend: r, attrs: { shape: [-1, l] } }); s.push(m); - let d = mA(r, m, o); + let d = MD(r, m, o); s.push(d); - let f = re({ inputs: { x: d }, backend: r, attrs: { shape: u } }); + let f = te({ inputs: { x: d }, backend: r, attrs: { shape: u } }); return s.forEach((h) => r.disposeIntermediateTensorInfo(h)), f; } - return dA(r, e, o); + return LD(r, e, o); } -function bY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = yt({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), S.assertAxesAreInnerMostDims("argMax", [a[0]], p.shape.length); - let c = ih(t10, p, a[0], "max"); +function DZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = bt({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), C.assertAxesAreInnerMostDims("argMax", [a[0]], p.shape.length); + let c = wh(t10, p, a[0], "max"); return u.forEach((l) => t10.disposeIntermediateTensorInfo(l)), c; } -var fA = { kernelName: Bo, backendName: "webgl", kernelFunc: bY }; -function CY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = yt({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), S.assertAxesAreInnerMostDims("argMin", [a[0]], p.shape.length); - let c = ih(t10, p, a[0], "min"); +var BD = { kernelName: Hs, backendName: "webgl", kernelFunc: DZ }; +function AZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = bt({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), C.assertAxesAreInnerMostDims("argMin", [a[0]], p.shape.length); + let c = wh(t10, p, a[0], "min"); return u.forEach((l) => t10.disposeIntermediateTensorInfo(l)), c; } -var hA = { kernelName: ei, backendName: "webgl", kernelFunc: CY }; -var SY = zt + ` +var zD = { kernelName: Ks, backendName: "webgl", kernelFunc: AZ }; +var FZ = Ut + ` if (abs(x) > 1.) { return NAN; } return asin(x); `; -var wY = he({ opSnippet: SY }); -var gA = { kernelName: ua, backendName: "webgl", kernelFunc: wY }; -var IY = zt + "return log(x + sqrt(x * x + 1.0));"; -var vY = he({ opSnippet: IY }); -var xA = { kernelName: pa, backendName: "webgl", kernelFunc: vY }; -var kY = zt + ` +var PZ = ge({ opSnippet: FZ }); +var VD = { kernelName: Ho, backendName: "webgl", kernelFunc: PZ }; +var OZ = Ut + "return log(x + sqrt(x * x + 1.0));"; +var MZ = ge({ opSnippet: OZ }); +var WD = { kernelName: Ko, backendName: "webgl", kernelFunc: MZ }; +var LZ = Ut + ` return atan(x); `; -var NY = he({ opSnippet: kY }); -var yA = { kernelName: ca, backendName: "webgl", kernelFunc: NY }; -var TY = dc + ` +var BZ = ge({ opSnippet: LZ }); +var UD = { kernelName: qo, backendName: "webgl", kernelFunc: BZ }; +var zZ = Mc + ` return atan(a, b); `; -var _Y = ` +var VZ = ` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - ` + Js + ` + ` + Kr + ` return result; `; -var $Y = tt({ opSnippet: TY, packedOpSnippet: _Y }); -var bA = { kernelName: ma, backendName: "webgl", kernelFunc: $Y }; -var EY = zt + ` +var WZ = nt({ opSnippet: zZ, packedOpSnippet: VZ }); +var GD = { kernelName: Xo, backendName: "webgl", kernelFunc: WZ }; +var UZ = Ut + ` if ((x < -1.0) || (x > 1.0)) return NAN; return (log(1.0 + x) - log(1.0 - x)) / 2.0;`; -var AY = he({ opSnippet: EY }); -var CA = { kernelName: la, backendName: "webgl", kernelFunc: AY }; -var cs = class { +var GZ = ge({ opSnippet: UZ }); +var HD = { kernelName: jo, backendName: "webgl", kernelFunc: GZ }; +var Ms = class { constructor(e, t10, o, n = false, s = false) { if (this.variableNames = ["x"], t10 === "avg" && o) throw new Error("Cannot compute positions for average pool."); @@ -18992,7 +19370,7 @@ var cs = class { this.outputShape = e.outShape; let h = t10 === "avg", g = `((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`, x = `(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`, b = "0.0"; if (h || (b = "-1.0 / 1e-20"), o) { - let A = ">="; + let R = ">="; this.userCode = ` const ivec2 strides = ivec2(${i}, ${p}); const ivec2 pads = ivec2(${d}, ${f}); @@ -19035,7 +19413,7 @@ var cs = class { // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${A} currMinMaxValue) { + if (value ${R} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n ? s ? g : x : `wR * ${m} + wC`}; @@ -19047,13 +19425,13 @@ var cs = class { `; return; } - let C = "max", w = `${t10}(${t10}(${t10}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`; - t10 === "avg" && (w = "avgValue / max(count, 1.0)"); + let w = "max", S = `${t10}(${t10}(${t10}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`; + t10 === "avg" && (S = "avgValue / max(count, 1.0)"); let k = Math.floor(a / 4) * 4, _ = a % 4, E = ` if (${h}) { avgValue += dot(values, ones); } else { - minMaxValue = ${C}(values, minMaxValue); + minMaxValue = ${w}(values, minMaxValue); } `; this.userCode = ` @@ -19138,20 +19516,20 @@ var cs = class { ${E} } } - setOutput(${w}); + setOutput(${S}); } `; } }; -var Wi = class { +var xu = class { constructor(e, t10, o, n = false, s = false) { if (this.variableNames = ["x"], t10 === "avg" && o) throw new Error("Cannot compute positions for average pool."); let a = e.filterWidth, i = e.strideDepth, p = e.strideHeight, u = e.strideWidth, c = e.dilationDepth, l = e.dilationHeight, m = e.dilationWidth, d = e.effectiveFilterDepth, f = e.effectiveFilterHeight, h = e.effectiveFilterWidth, g = e.padInfo.front, x = e.padInfo.top, b = e.padInfo.left; this.outputShape = e.outShape; - let C = t10 === "avg", w = "0.0"; - if (C || (w = "-1.0 / 1e-20"), o) { - let D = ">="; + let w = t10 === "avg", S = "0.0"; + if (w || (S = "-1.0 / 1e-20"), o) { + let F = ">="; this.userCode = ` const ivec3 strides = ivec3(${i}, ${p}, ${u}); @@ -19203,7 +19581,7 @@ var Wi = class { // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${D} currMinMaxValue) { + if (value ${F} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n ? s ? `(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch` : `((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch` : `wD * ${f} * ${h} + @@ -19219,8 +19597,8 @@ var Wi = class { } let k = "max", _ = `${t10}(${t10}(${t10}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`; t10 === "avg" && (_ = "avgValue / max(count, 1.0)"); - let E = Math.floor(a / 4) * 4, A = a % 4, R = ` - if (${C}) { + let E = Math.floor(a / 4) * 4, R = a % 4, D = ` + if (${w}) { avgValue += dot(values, ones); } else { minMaxValue = ${k}(values, minMaxValue); @@ -19230,7 +19608,7 @@ var Wi = class { const ivec3 strides = ivec3(${i}, ${p}, ${u}); const ivec3 pads = ivec3(${g}, ${x}, ${b}); - const float initializationValue = ${w}; + const float initializationValue = ${S}; const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float count = 0.0; @@ -19255,7 +19633,7 @@ var Wi = class { // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch). // ? = to be determined - vec4 minMaxValue = vec4(${w}); + vec4 minMaxValue = vec4(${S}); float avgValue = 0.0; count = 0.0; @@ -19285,11 +19663,11 @@ var Wi = class { getValue(batch, xD, xR, xC + 3 * ${m}, ch) ); - ${R} + ${D} } int xC = xCCorner + ${E}; - if (${A === 1}) { + if (${R === 1}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), initializationValue, @@ -19297,8 +19675,8 @@ var Wi = class { initializationValue ); - ${R} - } else if (${A === 2}) { + ${D} + } else if (${R === 2}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${m}, ch), @@ -19306,8 +19684,8 @@ var Wi = class { initializationValue ); - ${R} - } else if (${A === 3}) { + ${D} + } else if (${R === 3}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${m}, ch), @@ -19315,7 +19693,7 @@ var Wi = class { initializationValue ); - ${R} + ${D} } } } @@ -19324,24 +19702,24 @@ var Wi = class { `; } }; -function RY(r) { +function HZ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e; - us(n, "avgPool"); + Ps(n, "avgPool"); let { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1; - y.assert(S.eitherStridesOrDilationsAreOne(a, u), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); - let c = S.computePool2DInfo(n.shape, s, a, u, i, p); + y.assert(C.eitherStridesOrDilationsAreOne(a, u), () => `Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); + let c = C.computePool2DInfo(n.shape, s, a, u, i, p); if (c.filterWidth === 1 && c.filterHeight === 1 && y.arraysEqual(c.inShape, c.outShape)) - return At({ inputs: { x: n }, backend: t10 }); - let l = new cs(c, "avg", false); + return Dt({ inputs: { x: n }, backend: t10 }); + let l = new Ms(c, "avg", false); return t10.runWebGLProgram(l, [n], "float32"); } -var SA = { kernelName: Vo, backendName: "webgl", kernelFunc: RY }; -function DY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o, c = [1, 1, 1], l = S.computePool3DInfo(n.shape, s, a, c, i, p, u), m = new Wi(l, "avg", false); +var KD = { kernelName: Yo, backendName: "webgl", kernelFunc: HZ }; +function KZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o, c = [1, 1, 1], l = C.computePool3DInfo(n.shape, s, a, c, i, p, u), m = new xu(l, "avg", false); return t10.runWebGLProgram(m, [n], "float32"); } -var wA = { kernelName: dp, backendName: "webgl", kernelFunc: DY }; -var uh = class { +var qD = { kernelName: qs, backendName: "webgl", kernelFunc: KZ }; +var Sh = class { constructor(e) { this.variableNames = ["dy"], this.outputShape = e.inShape; let t10 = e.filterHeight, o = e.filterWidth, n = e.strideHeight, s = e.strideWidth, a = e.dilationHeight, i = e.dilationWidth, p = e.effectiveFilterHeight, u = e.effectiveFilterWidth, c = p - 1 - e.padInfo.top, l = u - 1 - e.padInfo.left, m = 1 / (t10 * o); @@ -19390,7 +19768,7 @@ var uh = class { `; } }; -var ph = class { +var Ih = class { constructor(e) { this.variableNames = ["dy"], this.outputShape = e.inShape; let t10 = e.filterDepth, o = e.filterHeight, n = e.filterWidth, s = e.strideDepth, a = e.strideHeight, i = e.strideWidth, p = e.dilationDepth, u = e.dilationHeight, c = e.dilationWidth, l = e.effectiveFilterDepth, m = e.effectiveFilterHeight, d = e.effectiveFilterWidth, f = l - 1 - e.padInfo.front, h = m - 1 - e.padInfo.top, g = d - 1 - e.padInfo.left, x = 1 / (t10 * o * n); @@ -19453,30 +19831,30 @@ var ph = class { `; } }; -function FY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = [1, 1, 1], m = S.computePool3DInfo(a.shape, i, p, l, u, c), d = new ph(m); +function qZ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = [1, 1, 1], m = C.computePool3DInfo(a.shape, i, p, l, u, c), d = new Ih(m); return t10.runWebGLProgram(d, [n], a.dtype); } -var IA = { kernelName: vm, backendName: "webgl", kernelFunc: FY }; -function OY(r) { +var jD = { kernelName: Ni, backendName: "webgl", kernelFunc: qZ }; +function jZ(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s; - us([n, s], "avgPoolGrad"); - let { filterSize: i, strides: p, pad: u } = o, c = S.computePool2DInfo(a.shape, i, p, 1, u), l = new uh(c); + Ps([n, s], "avgPoolGrad"); + let { filterSize: i, strides: p, pad: u } = o, c = C.computePool2DInfo(a.shape, i, p, 1, u), l = new Sh(c); return t10.runWebGLProgram(l, [n], a.dtype); } -var vA = { kernelName: mp, backendName: "webgl", kernelFunc: OY }; -function PY(r) { +var XD = { kernelName: Gp, backendName: "webgl", kernelFunc: jZ }; +function XZ(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s } = e, { transposeA: a, transposeB: i } = o; - return zu({ a: n, b: s, transposeA: a, transposeB: i, backend: t10 }); + return Cp({ a: n, b: s, transposeA: a, transposeB: i, backend: t10 }); } -var kA = { kernelName: zo, backendName: "webgl", kernelFunc: PY }; -var ch = class { +var YD = { kernelName: Qo, backendName: "webgl", kernelFunc: XZ }; +var vh = class { constructor(e, t10, o, n, s, a) { - this.outputShape = [], this.variableNames = ["x", "mean", "variance"], S.assertAndGetBroadcastShape(e, t10), S.assertAndGetBroadcastShape(e, o); + this.outputShape = [], this.variableNames = ["x", "mean", "variance"], C.assertAndGetBroadcastShape(e, t10), C.assertAndGetBroadcastShape(e, o); let i = "0.0"; - n != null && (S.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset"), i = "getOffsetAtOutCoords()"); + n != null && (C.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset"), i = "getOffsetAtOutCoords()"); let p = "1.0"; - s != null && (S.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale"), p = "getScaleAtOutCoords()"), this.outputShape = e, this.userCode = ` + s != null && (C.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale"), p = "getScaleAtOutCoords()"), this.outputShape = e, this.userCode = ` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -19489,13 +19867,13 @@ var ch = class { `; } }; -var lh = class { +var kh = class { constructor(e, t10, o, n, s, a) { - this.packedInputs = true, this.packedOutput = true, this.variableNames = ["x", "mean", "variance"], S.assertAndGetBroadcastShape(e, t10), S.assertAndGetBroadcastShape(e, o); + this.packedInputs = true, this.packedOutput = true, this.variableNames = ["x", "mean", "variance"], C.assertAndGetBroadcastShape(e, t10), C.assertAndGetBroadcastShape(e, o); let i = "vec4(0.0)"; - n != null && (S.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset"), i = "getOffsetAtOutCoords()"); + n != null && (C.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset"), i = "getOffsetAtOutCoords()"); let p = "vec4(1.0)"; - s != null && (S.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale"), p = "getScaleAtOutCoords()"), this.outputShape = e, this.userCode = ` + s != null && (C.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale"), p = "getScaleAtOutCoords()"), this.outputShape = e, this.userCode = ` void main() { vec4 offset = ${i}; vec4 scale = ${p}; @@ -19511,7 +19889,7 @@ var lh = class { `; } }; -var MY = ({ inputs: r, backend: e, attrs: t10 }) => { +var YZ = ({ inputs: r, backend: e, attrs: t10 }) => { let { x: o, mean: n, variance: s, offset: a, scale: i } = r; y.assert(n.shape.length === s.shape.length, () => "Batch normalization gradient requires mean and variance to have equal ranks."), y.assert(a == null || n.shape.length === a.shape.length, () => "Batch normalization gradient requires mean and offset to have equal ranks."), y.assert(i == null || n.shape.length === i.shape.length, () => "Batch normalization gradient requires mean and scale to have equal ranks."); let { varianceEpsilon: p } = t10; @@ -19520,16 +19898,16 @@ var MY = ({ inputs: r, backend: e, attrs: t10 }) => { a != null && (c = a.shape, u.push(a)); let l = null; i != null && (l = i.shape, u.push(i)); - let m = O().getBool("WEBGL_PACK_NORMALIZATION") ? new lh(o.shape, n.shape, s.shape, c, l, p) : new ch(o.shape, n.shape, s.shape, c, l, p); + let m = P().getBool("WEBGL_PACK_NORMALIZATION") ? new kh(o.shape, n.shape, s.shape, c, l, p) : new vh(o.shape, n.shape, s.shape, c, l, p); return e.runWebGLProgram(m, u, u[0].dtype); }; -var NA = { kernelName: sn, backendName: "webgl", kernelFunc: MY }; -var mh = class { +var QD = { kernelName: wn, backendName: "webgl", kernelFunc: YZ }; +var Nh = class { constructor(e) { this.variableNames = ["source"], this.outputShape = e, this.rank = e.length; - let t10 = $e(this.rank); + let t10 = Re(this.rank); this.customUniforms = [{ name: "start", arrayIndex: this.rank, type: "int" }]; - let o = LY(this.rank), n, s = e.map((a, i) => `sourceLoc.${Lw[i]} = start[${i}] + coords.${Lw[i]};`); + let o = QZ(this.rank), n, s = e.map((a, i) => `sourceLoc.${rv[i]} = start[${i}] + coords.${rv[i]};`); n = ` ${t10} sourceLoc; ${t10} coords = getOutputCoords(); @@ -19543,18 +19921,18 @@ var mh = class { `; } }; -var Lw = ["x", "y", "z", "w", "u", "v"]; -function LY(r) { +var rv = ["x", "y", "z", "w", "u", "v"]; +function QZ(r) { if (r === 1) return "sourceLoc"; if (r <= 6) - return Lw.slice(0, r).map((e) => "sourceLoc." + e).join(","); + return rv.slice(0, r).map((e) => "sourceLoc." + e).join(","); throw Error(`Slicing for rank ${r} is not yet supported`); } -var dh = class { +var Th = class { constructor(e) { this.variableNames = ["source"], this.packedInputs = true, this.packedOutput = true, this.outputShape = e, this.rank = e.length, this.customUniforms = [{ name: "start", arrayIndex: this.rank, type: "int" }]; - let t10 = $e(this.rank), o = Et("coords", this.rank), n = Et("sourceLoc", this.rank), s = this.rank === 1 ? "sourceLoc" : `vec2(${n.slice(-2).join()})`, a = `getChannel(getSource(${n.join()}), ${s})`, i = ` + let t10 = Re(this.rank), o = Rt("coords", this.rank), n = Rt("sourceLoc", this.rank), s = this.rank === 1 ? "sourceLoc" : `vec2(${n.slice(-2).join()})`, a = `getChannel(getSource(${n.join()}), ${s})`, i = ` result.x = ${a}; if (++${o[this.rank - 1]} < ${e[this.rank - 1]}) { ++${n[this.rank - 1]}; @@ -19587,93 +19965,93 @@ var dh = class { `; } }; -function BY(r, e, t10, o) { +function ZZ(r, e, t10, o) { let n = o.texData.get(r.dataId), s = o.makeTensorInfo(t10, r.dtype), a = o.texData.get(s.dataId); Object.assign(a, n), a.refCount = 1, a.shape = t10, a.dtype = r.dtype; - let i = ut.computeFlatOffset(e, y.computeStrides(r.shape)); + let i = ct.computeFlatOffset(e, y.computeStrides(r.shape)); n.slice && (i += n.slice.flatOffset), a.slice = { flatOffset: i, origDataId: n.slice && n.slice.origDataId || r.dataId }; let p = o.dataRefCount.get(a.slice.origDataId) || 1; return o.dataRefCount.set(a.slice.origDataId, p + 1), s; } -function ls(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, size: a } = o, [i, p] = ut.parseSliceParams(n, s, a); - if (ut.assertParamsValid(n, i, p), y.sizeFromShape(p) === 0) +function Ls(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, size: a } = o, [i, p] = ct.parseSliceParams(n, s, a); + if (ct.assertParamsValid(n, i, p), y.sizeFromShape(p) === 0) return t10.makeTensorInfo(p, n.dtype, []); if (t10.shouldExecuteOnCPU([n]) || n.dtype === "string") { - let l = t10.texData.get(n.dataId), m = xE(l.values, i, p, n.shape, n.dtype); + let l = t10.texData.get(n.dataId), m = VR(l.values, i, p, n.shape, n.dtype); return t10.makeTensorInfo(p, n.dtype, m); } - let { isPacked: u } = t10.texData.get(n.dataId), c = ut.isSliceContinous(n.shape, i, p); + let { isPacked: u } = t10.texData.get(n.dataId), c = ct.isSliceContinous(n.shape, i, p); if (u || !c) { - let l = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new dh(p) : new mh(p), m = [i]; + let l = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new Th(p) : new Nh(p), m = [i]; return t10.runWebGLProgram(l, [n], n.dtype, m); } - return t10.uploadToGPU(n.dataId), BY(n, i, p, t10); + return t10.uploadToGPU(n.dataId), ZZ(n, i, p, t10); } -var TA = { kernelName: Es, backendName: "webgl", kernelFunc: ls }; -var VY = (r) => { +var ZD = { kernelName: pa, backendName: "webgl", kernelFunc: Ls }; +var JZ = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, crops: a } = o; y.assert(n.shape.length <= 4, () => "batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"); - let i = s.reduce((b, C) => b * C), p = S.getReshaped(n.shape, s, i), u = S.getPermuted(p.length, s.length), c = S.getReshapedPermuted(n.shape, s, i), l = S.getSliceBeginCoords(a, s.length), m = S.getSliceSize(c, a, s.length), d = [], f = re({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), h = yt({ inputs: { x: f }, backend: t10, attrs: { perm: u } }), g = re({ inputs: { x: h }, backend: t10, attrs: { shape: c } }), x = ls({ inputs: { x: g }, backend: t10, attrs: { begin: l, size: m } }); + let i = s.reduce((b, w) => b * w), p = C.getReshaped(n.shape, s, i), u = C.getPermuted(p.length, s.length), c = C.getReshapedPermuted(n.shape, s, i), l = C.getSliceBeginCoords(a, s.length), m = C.getSliceSize(c, a, s.length), d = [], f = te({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), h = bt({ inputs: { x: f }, backend: t10, attrs: { perm: u } }), g = te({ inputs: { x: h }, backend: t10, attrs: { shape: c } }), x = Ls({ inputs: { x: g }, backend: t10, attrs: { begin: l, size: m } }); return d.push(f), d.push(h), d.push(g), d.forEach((b) => t10.disposeIntermediateTensorInfo(b)), x; }; -var _A = { kernelName: bs, backendName: "webgl", kernelFunc: VY }; -function zY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), u = Kf(i, p, s.dtype, s.shape, a); +var JD = { kernelName: js, backendName: "webgl", kernelFunc: JZ }; +function e9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), u = ah(i, p, s.dtype, s.shape, a); return t10.makeTensorInfo([a], s.dtype, u); } -var $A = { kernelName: ti, backendName: "webgl", kernelFunc: zY }; -function WY(r) { - let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e, s = t10.readSync(o.dataId), a = t10.readSync(n.dataId), i = S.assertAndGetBroadcastShape(Array.from(s), Array.from(a)); +var eA = { kernelName: Zo, backendName: "webgl", kernelFunc: e9 }; +function t9(r) { + let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e, s = t10.readSync(o.dataId), a = t10.readSync(n.dataId), i = C.assertAndGetBroadcastShape(Array.from(s), Array.from(a)); return t10.makeTensorInfo([i.length], "int32", Int32Array.from(i)); } -var EA = { kernelName: fp, backendName: "webgl", kernelFunc: WY }; -var UY = "return float(a != b);"; -var Bw = tt({ opSnippet: UY, cpuKernelImpl: uE, dtype: "bool" }); -var AA = { kernelName: Nn, backendName: "webgl", kernelFunc: Bw }; -function Ka(r) { +var tA = { kernelName: Xs, backendName: "webgl", kernelFunc: t9 }; +var r9 = "return float(a != b);"; +var ov = nt({ opSnippet: r9, cpuKernelImpl: DR, dtype: "bool" }); +var rA = { kernelName: qn, backendName: "webgl", kernelFunc: ov }; +function gi(r) { let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.texData.get(o.dataId); - return At({ inputs: { x: n.complexTensorInfos.real }, backend: t10 }); + return Dt({ inputs: { x: n.complexTensorInfos.real }, backend: t10 }); } -var RA = { kernelName: di, backendName: "webgl", kernelFunc: Ka }; -var GY = "return float(int(x));"; -function DA(r, e) { - let t10 = new Jt(r.shape, GY), o = e.runWebGLProgram(t10, [r], "int32"); +var oA = { kernelName: zi, backendName: "webgl", kernelFunc: gi }; +var o9 = "return float(int(x));"; +function nA(r, e) { + let t10 = new tr(r.shape, o9), o = e.runWebGLProgram(t10, [r], "int32"); return { dataId: o.dataId, shape: o.shape, dtype: o.dtype }; } -function Vw(r) { +function nv(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dtype: s } = o; if (s === "complex64") { if (n.dtype === "complex64") - return At({ inputs: { x: n }, backend: t10 }); - let a = Br(n.shape), i = Vw({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), p = Ar({ inputs: { real: i, imag: a }, backend: t10 }); + return Dt({ inputs: { x: n }, backend: t10 }); + let a = Wr(n.shape), i = nv({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), p = Fr({ inputs: { real: i, imag: a }, backend: t10 }); return a.dispose(), t10.disposeIntermediateTensorInfo(i), p; } if (n.dtype === "complex64") { - let a = Ka({ inputs: { input: n }, backend: t10 }), i = Vw({ inputs: { x: a }, backend: t10, attrs: { dtype: s } }); + let a = gi({ inputs: { input: n }, backend: t10 }), i = nv({ inputs: { x: a }, backend: t10, attrs: { dtype: s } }); return t10.disposeIntermediateTensorInfo(a), i; } if (!y.hasEncodingLoss(n.dtype, s)) { - let a = At({ inputs: { x: n }, backend: t10 }); + let a = Dt({ inputs: { x: n }, backend: t10 }); return { dataId: a.dataId, shape: a.shape, dtype: s }; } if (t10.shouldExecuteOnCPU([n])) { - let a = t10.texData.get(n.dataId).values, [i, p, u] = W$(a, n.shape, n.dtype, s); + let a = t10.texData.get(n.dataId).values, [i, p, u] = mR(a, n.shape, n.dtype, s); return t10.makeTensorInfo(i, p, u); } if (s === "int32") - return DA(n, t10); + return nA(n, t10); if (s === "bool") { - let a = t10.makeTensorInfo([], "bool", y.getTypedArrayFromDType("bool", 1)), p = Bw({ inputs: { a: n, b: a }, backend: t10 }); + let a = t10.makeTensorInfo([], "bool", y.getTypedArrayFromDType("bool", 1)), p = ov({ inputs: { a: n, b: a }, backend: t10 }); return t10.disposeIntermediateTensorInfo(a), p; } throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`); } -var FA = { kernelName: co, backendName: "webgl", kernelFunc: Vw }; -var OA = "return ceil(x);"; -var HY = he({ opSnippet: OA, packedOpSnippet: OA, cpuKernelImpl: U$ }); -var PA = { kernelName: Wo, backendName: "webgl", kernelFunc: HY }; -var fh = class { +var sA = { kernelName: ho, backendName: "webgl", kernelFunc: nv }; +var aA = "return ceil(x);"; +var n9 = ge({ opSnippet: aA, packedOpSnippet: aA, cpuKernelImpl: dR }); +var iA = { kernelName: Jo, backendName: "webgl", kernelFunc: n9 }; +var _h = class { constructor(e) { this.variableNames = ["A"], this.customUniforms = [{ name: "minVal", type: "float" }, { name: "maxVal", type: "float" }], this.outputShape = e, this.userCode = ` @@ -19689,7 +20067,7 @@ var fh = class { `; } }; -var hh = class { +var $h = class { constructor(e) { this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "minVal", type: "float" }, { name: "maxVal", type: "float" }], this.outputShape = e, this.userCode = ` void main() { @@ -19705,14 +20083,14 @@ var hh = class { `; } }; -function KY(r) { +function s9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { clipValueMin: s, clipValueMax: a } = o, i; - O().getBool("WEBGL_PACK_CLIP") ? i = new hh(n.shape) : i = new fh(n.shape); + P().getBool("WEBGL_PACK_CLIP") ? i = new $h(n.shape) : i = new _h(n.shape); let p = [[s], [a]]; return t10.runWebGLProgram(i, [n], n.dtype, p); } -var MA = { kernelName: lo, backendName: "webgl", kernelFunc: KY }; -var gh = class { +var uA = { kernelName: go, backendName: "webgl", kernelFunc: s9 }; +var Eh = class { constructor(e) { this.variableNames = ["real", "imag"], this.outputShape = e, this.userCode = ` void main() { @@ -19730,17 +20108,17 @@ var gh = class { `; } }; -function LA(r, e) { +function pA(r, e) { return { dataId: e.dataId, dtype: e.dtype, shape: r.shape }; } -function qY(r) { - let { inputs: e, backend: t10 } = r, { x: o } = e, n = t10.texData.get(o.dataId), s = new gh(o.shape), a = [LA(o, n.complexTensorInfos.real), LA(o, n.complexTensorInfos.imag)]; +function a9(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = t10.texData.get(o.dataId), s = new Eh(o.shape), a = [pA(o, n.complexTensorInfos.real), pA(o, n.complexTensorInfos.imag)]; return t10.runWebGLProgram(s, a, a[0].dtype); } -var BA = { kernelName: hp, backendName: "webgl", kernelFunc: qY }; -var xh = class { +var cA = { kernelName: _i, backendName: "webgl", kernelFunc: a9 }; +var Rh = class { constructor(e) { - this.outputShape = [], this.outputShape = S.computeOutShape(e, 1), this.variableNames = e.map((a, i) => `T${i}`); + this.outputShape = [], this.outputShape = C.computeOutShape(e, 1), this.variableNames = e.map((a, i) => `T${i}`); let t10 = new Array(e.length - 1); t10[0] = e[0][1]; for (let a = 1; a < t10.length; a++) @@ -19763,10 +20141,10 @@ var xh = class { `; } }; -var bh = class { +var Ah = class { constructor(e, t10) { - this.packedInputs = true, this.packedOutput = true, this.outputShape = [], this.outputShape = S.computeOutShape(e, t10); - let o = this.outputShape, n = o.length, s = $e(n), a = Et("coords", n), i = ["x", "y", "z", "w", "u", "v"].slice(0, n); + this.packedInputs = true, this.packedOutput = true, this.outputShape = [], this.outputShape = C.computeOutShape(e, t10); + let o = this.outputShape, n = o.length, s = Re(n), a = Rt("coords", n), i = ["x", "y", "z", "w", "u", "v"].slice(0, n); this.variableNames = e.map((h, g) => `T${g}`); let p = new Array(e.length - 1); p[0] = e[0][t10]; @@ -19781,15 +20159,15 @@ var bh = class { m += ` if (${u} < ${p[h]} && ${u} >= ${p[h - 1]}) { return getChannel( - getT${h}(${yh(i, u, g)}), - vec2(${yh(c, u, g)})); + getT${h}(${Dh(i, u, g)}), + vec2(${Dh(c, u, g)})); }`; } let d = p.length, f = p[p.length - 1]; m += ` return getChannel( - getT${d}(${yh(i, u, f)}), - vec2(${yh(c, u, f)}));`, this.userCode = ` + getT${d}(${Dh(i, u, f)}), + vec2(${Dh(c, u, f)}));`, this.userCode = ` float getValue(${i.map((h) => "int " + h)}) { ${m} } @@ -19818,87 +20196,87 @@ var bh = class { `; } }; -function yh(r, e, t10) { +function Dh(r, e, t10) { let o = r.indexOf(e); return r.map((s, a) => a === o ? `${s} - ${t10}` : s).join(); } -function Wu(r) { +function wp(r) { let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.texData.get(o.dataId); - return At({ inputs: { x: n.complexTensorInfos.imag }, backend: t10 }); + return Dt({ inputs: { x: n.complexTensorInfos.imag }, backend: t10 }); } -var VA = { kernelName: ci, backendName: "webgl", kernelFunc: Wu }; -function hc(r, e, t10) { +var lA = { kernelName: Mi, backendName: "webgl", kernelFunc: wp }; +function Bc(r, e, t10) { let o = r[0].dtype; if (o === "complex64") { - let d = r.map((b) => Ka({ inputs: { input: b }, backend: t10 })), f = r.map((b) => Wu({ inputs: { input: b }, backend: t10 })), h = hc(d, e, t10), g = hc(f, e, t10), x = Ar({ inputs: { real: h, imag: g }, backend: t10 }); + let d = r.map((b) => gi({ inputs: { input: b }, backend: t10 })), f = r.map((b) => wp({ inputs: { input: b }, backend: t10 })), h = Bc(d, e, t10), g = Bc(f, e, t10), x = Fr({ inputs: { real: h, imag: g }, backend: t10 }); return d.forEach((b) => t10.disposeIntermediateTensorInfo(b)), f.forEach((b) => t10.disposeIntermediateTensorInfo(b)), t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(g), x; } let n = t10.shouldExecuteOnCPU(r); if (o === "string" && (n = true), n) { - let d = r.map((w) => { - let _ = [-1, y.sizeFromShape(w.shape.slice(e))]; - return re({ inputs: { x: w }, backend: t10, attrs: { shape: _ } }); - }), f = d.map((w) => ({ vals: t10.readSync(w.dataId), shape: w.shape })), h = S.computeOutShape(d.map((w) => w.shape), 1), g = d[0].shape[0] === 1, x = G$(f, h, o, g), b = S.computeOutShape(r.map((w) => w.shape), e), C = t10.makeTensorInfo(b, o, x); - return d.forEach((w) => t10.disposeIntermediateTensorInfo(w)), C; + let d = r.map((S) => { + let _ = [-1, y.sizeFromShape(S.shape.slice(e))]; + return te({ inputs: { x: S }, backend: t10, attrs: { shape: _ } }); + }), f = d.map((S) => ({ vals: t10.readSync(S.dataId), shape: S.shape })), h = C.computeOutShape(d.map((S) => S.shape), 1), g = d[0].shape[0] === 1, x = fR(f, h, o, g), b = C.computeOutShape(r.map((S) => S.shape), e), w = t10.makeTensorInfo(b, o, x); + return d.forEach((S) => t10.disposeIntermediateTensorInfo(S)), w; } - let s = r.filter((d) => y.sizeFromShape(d.shape) > 0), a = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") && s[0].shape.length > 1; + let s = r.filter((d) => y.sizeFromShape(d.shape) > 0), a = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") && s[0].shape.length > 1; if (s.length === 1) { - let d = a ? new Jt(r[0].shape, Zs) : new Er(r[0].shape, Zs); + let d = a ? new tr(r[0].shape, Ra) : new Ar(r[0].shape, Ra); return t10.runWebGLProgram(d, r, o); } - let i = O().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER"); + let i = P().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER"); if (s.length > i) { let d = []; for (let h = 0; h < s.length; h += i) { let g = s.slice(h, h + i); - d.push(hc(g, e, t10)); + d.push(Bc(g, e, t10)); } - let f = hc(d, e, t10); + let f = Bc(d, e, t10); for (let h of d) t10.disposeIntermediateTensorInfo(h); return f; } if (a) { - let d = new bh(s.map((f) => f.shape), e); + let d = new Ah(s.map((f) => f.shape), e); return t10.runWebGLProgram(d, s, o); } - let { tensors2D: p, outShape: u } = jY(s, e, t10), c = new xh(p.map((d) => d.shape)), l = t10.runWebGLProgram(c, p, o); + let { tensors2D: p, outShape: u } = i9(s, e, t10), c = new Rh(p.map((d) => d.shape)), l = t10.runWebGLProgram(c, p, o); p.forEach((d) => t10.disposeIntermediateTensorInfo(d)); - let m = re({ inputs: { x: l }, attrs: { shape: u }, backend: t10 }); + let m = te({ inputs: { x: l }, attrs: { shape: u }, backend: t10 }); return t10.disposeIntermediateTensorInfo(l), m; } -function jY(r, e, t10) { - let o = S.computeOutShape(r.map((s) => s.shape), e); - return { tensors2D: r.map((s) => re({ inputs: { x: s }, attrs: { shape: [-1, y.sizeFromShape(s.shape.slice(e))] }, backend: t10 })), outShape: o }; +function i9(r, e, t10) { + let o = C.computeOutShape(r.map((s) => s.shape), e); + return { tensors2D: r.map((s) => te({ inputs: { x: s }, attrs: { shape: [-1, y.sizeFromShape(s.shape.slice(e))] }, backend: t10 })), outShape: o }; } -function zw(r) { +function sv(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o, s = y.parseAxisParam(n, e[0].shape)[0], a = e.map((u) => u.shape); - S.assertParamsConsistent(a, s); - let i = S.computeOutShape(e.map((u) => u.shape), s); + C.assertParamsConsistent(a, s); + let i = C.computeOutShape(e.map((u) => u.shape), s); if (y.sizeFromShape(i) === 0) return t10.makeTensorInfo(i, e[0].dtype, []); let p = e.filter((u) => y.sizeFromShape(u.shape) > 0); - return p.length === 1 ? At({ inputs: { x: p[0] }, backend: t10 }) : hc(p, s, t10); + return p.length === 1 ? Dt({ inputs: { x: p[0] }, backend: t10 }) : Bc(p, s, t10); } -var zA = { kernelName: Cs, backendName: "webgl", kernelFunc: zw }; -var gc = class { +var mA = { kernelName: Ys, backendName: "webgl", kernelFunc: sv }; +var zc = class { constructor(e, t10 = false, o = null, n = false, s = false) { this.variableNames = ["x", "W"], this.outputShape = e.outShape; - let a = e.padInfo.top, i = e.padInfo.left, p = e.strideHeight, u = e.strideWidth, c = e.dilationHeight, l = e.dilationWidth, m = e.filterHeight, d = e.filterWidth, f = Math.floor(e.inChannels / 4) * 4, h = e.inChannels % 4, g = e.dataFormat === "channelsLast", x = g ? 1 : 2, b = g ? 2 : 3, C = g ? 3 : 1, w = "", k = ""; - o && (n ? w = `float activation(float a) { + let a = e.padInfo.top, i = e.padInfo.left, p = e.strideHeight, u = e.strideWidth, c = e.dilationHeight, l = e.dilationWidth, m = e.filterHeight, d = e.filterWidth, f = Math.floor(e.inChannels / 4) * 4, h = e.inChannels % 4, g = e.dataFormat === "channelsLast", x = g ? 1 : 2, b = g ? 2 : 3, w = g ? 3 : 1, S = "", k = ""; + o && (n ? S = `float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${o} - }` : s ? w = `float activation(float a) { + }` : s ? S = `float activation(float a) { float b = getLeakyreluAlphaAtOutCoords(); ${o} - }` : w = ` + }` : S = ` float activation(float x) { ${o} } `, k = "result = activation(result);"); let _ = t10 ? "result += getBiasAtOutCoords();" : ""; t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), s && this.variableNames.push("leakyreluAlpha"), this.userCode = ` - ${w} + ${S} const ivec2 strides = ivec2(${p}, ${u}); const ivec2 pads = ivec2(${a}, ${i}); @@ -19906,7 +20284,7 @@ var gc = class { void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; - int d2 = coords[${C}]; + int d2 = coords[${w}]; ivec2 xRCCorner = ivec2(coords[${x}], coords[${b}]) * strides - pads; @@ -20024,7 +20402,7 @@ var gc = class { `; } }; -var Ch = class { +var Fh = class { constructor(e) { this.variableNames = ["x", "W"], this.outputShape = e.outShape; let t10 = e.padInfo.front, o = e.padInfo.top, n = e.padInfo.left, s = e.strideDepth, a = e.strideHeight, i = e.strideWidth, p = e.dilationDepth, u = e.dilationHeight, c = e.dilationWidth, l = e.filterDepth, m = e.filterHeight, d = e.filterWidth, f = Math.floor(e.inChannels / 4) * 4, h = e.inChannels % 4; @@ -20119,9 +20497,9 @@ var Ch = class { `; } }; -var xc = class { +var Vc = class { constructor(e, t10 = false, o = null, n = false, s = false) { - this.variableNames = ["x", "W"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = lt(this.outputShape.length); + this.variableNames = ["x", "W"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = ut(this.outputShape.length); let a = e.padInfo.left, i = e.strideWidth, p = e.dilationWidth, u = e.filterHeight, c = e.filterWidth, l = c, m = ` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`; @@ -20343,10 +20721,10 @@ var xc = class { `; } }; -var Sh = class { +var Ph = class { constructor(e, t10) { - this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "inputShape", type: "ivec4" }, { name: "pad", type: "ivec2" }, { name: "stride", type: "ivec2" }, { name: "dilation", type: "ivec2" }, { name: "inChannels", type: "int" }, { name: "itemsPerBlockRow", type: "int" }, { name: "outWidth", type: "int" }], this.outputShape = e, this.enableShapeUniforms = lt(this.outputShape.length); - let { dataFormat: o } = t10, n = wt(), s = o === "channelsLast", a = s ? 1 : 2, i = s ? 2 : 3, p = this.enableShapeUniforms ? "if(blockIndex < outShape[2] && pos < outShape[1]) {" : `if(blockIndex < ${e[2]} && pos < ${e[1]}) {`, u = ""; + this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "inputShape", type: "ivec4" }, { name: "pad", type: "ivec2" }, { name: "stride", type: "ivec2" }, { name: "dilation", type: "ivec2" }, { name: "inChannels", type: "int" }, { name: "itemsPerBlockRow", type: "int" }, { name: "outWidth", type: "int" }], this.outputShape = e, this.enableShapeUniforms = ut(this.outputShape.length); + let { dataFormat: o } = t10, n = It(), s = o === "channelsLast", a = s ? 1 : 2, i = s ? 2 : 3, p = this.enableShapeUniforms ? "if(blockIndex < outShape[2] && pos < outShape[1]) {" : `if(blockIndex < ${e[2]} && pos < ${e[1]}) {`, u = ""; for (let c = 0; c <= 1; c++) for (let l = 0; l <= 1; l++) u += ` @@ -20400,78 +20778,78 @@ var Sh = class { `; } }; -function wh(r, e) { +function Oh(r, e) { let t10 = r.length; return t10 >= 3 ? e ? [...r.slice(0, -3), r[t10 - 3] * r[t10 - 2], r[t10 - 1]] : [...r.slice(0, -3), r[t10 - 3], r[t10 - 2] * r[t10 - 1]] : !e && t10 === 1 && r[0] > 1 ? [r[0], 1] : null; } -function Ih({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { +function Mh({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { let p = r.shape, u = o.texData.get(r.dataId), c = t10.inChannels, l = p[0] * p[1] * p[2], m = t10.outChannels, d = t10.dataFormat === "channelsLast", f = false, h = false, g, x = []; if (s != null) { - let w = wh(s.shape, d); - w != null && (s = re({ inputs: { x: s }, backend: o, attrs: { shape: w } }), x.push(s)); + let S = Oh(s.shape, d); + S != null && (s = te({ inputs: { x: s }, backend: o, attrs: { shape: S } }), x.push(s)); } if (n != null) { - let w = wh(n.shape, d); - w != null && (n = re({ inputs: { x: n }, backend: o, attrs: { shape: w } }), x.push(n)); + let S = Oh(n.shape, d); + S != null && (n = te({ inputs: { x: n }, backend: o, attrs: { shape: S } }), x.push(n)); } - if (!((l === 1 || m === 1) && c > Mw) && u.isPacked && d && u.texture != null && p[2] % 2 !== 0 && y.arraysEqual(u.shape.slice(-3), p.slice(-3))) { - let w = p[0] * p[1] * (p[2] + 1), k = { dataId: r.dataId, shape: [1, w, t10.inChannels], dtype: r.dtype }, _ = u.shape; - u.shape = u.shape.slice(), u.shape[u.shape.length - 2]++, y.assert(Bi(u.shape, k.shape), () => `packed reshape ${u.shape} to ${k.shape} isn't free`); - let E = re({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }); + if (!((l === 1 || m === 1) && c > tv) && u.isPacked && d && u.texture != null && p[2] % 2 !== 0 && y.arraysEqual(u.shape.slice(-3), p.slice(-3))) { + let S = p[0] * p[1] * (p[2] + 1), k = { dataId: r.dataId, shape: [1, S, t10.inChannels], dtype: r.dtype }, _ = u.shape; + u.shape = u.shape.slice(), u.shape[u.shape.length - 2]++, y.assert(fu(u.shape, k.shape), () => `packed reshape ${u.shape} to ${k.shape} isn't free`); + let E = te({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }); x.push(E); - let A = zu({ a: k, b: E, backend: o, transposeA: f, transposeB: h, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), R = o.texData.get(A.dataId); - y.assert(R.isPacked, () => "batchMatMul result is expected to be packed"), u.shape = _, R.shape = t10.outShape, g = At({ inputs: { x: A }, backend: o }), g.shape = t10.outShape, x.push(A); + let R = Cp({ a: k, b: E, backend: o, transposeA: f, transposeB: h, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), D = o.texData.get(R.dataId); + y.assert(D.isPacked, () => "batchMatMul result is expected to be packed"), u.shape = _, D.shape = t10.outShape, g = Dt({ inputs: { x: R }, backend: o }), g.shape = t10.outShape, x.push(R); } else { - let w = t10.outHeight * t10.outWidth, k = re({ inputs: { x: r }, backend: o, attrs: { shape: d ? [t10.batchSize, w, t10.inChannels] : [t10.batchSize, t10.inChannels, w] } }), _ = re({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }), E = zu({ a: d ? k : _, b: d ? _ : k, transposeA: !d, transposeB: h, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }); - g = re({ inputs: { x: E }, backend: o, attrs: { shape: t10.outShape } }), x.push(k), x.push(_), x.push(E); + let S = t10.outHeight * t10.outWidth, k = te({ inputs: { x: r }, backend: o, attrs: { shape: d ? [t10.batchSize, S, t10.inChannels] : [t10.batchSize, t10.inChannels, S] } }), _ = te({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }), E = Cp({ a: d ? k : _, b: d ? _ : k, transposeA: !d, transposeB: h, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }); + g = te({ inputs: { x: E }, backend: o, attrs: { shape: t10.outShape } }), x.push(k), x.push(_), x.push(E); } - for (let w of x) - o.disposeIntermediateTensorInfo(w); + for (let S of x) + o.disposeIntermediateTensorInfo(S); return g; } -function vh({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { - let { filterWidth: p, filterHeight: u, inChannels: c, outWidth: l, outHeight: m, dataFormat: d } = t10, f = d === "channelsLast", h = p * u * c, g = m * l, x = [t10.batchSize, h, g], b = true, C = false, w = []; +function Lh({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { + let { filterWidth: p, filterHeight: u, inChannels: c, outWidth: l, outHeight: m, dataFormat: d } = t10, f = d === "channelsLast", h = p * u * c, g = m * l, x = [t10.batchSize, h, g], b = true, w = false, S = []; if (s != null) { - let H = wh(s.shape, f); - H != null && (s = re({ inputs: { x: s }, backend: o, attrs: { shape: H } }), w.push(s)); + let H = Oh(s.shape, f); + H != null && (s = te({ inputs: { x: s }, backend: o, attrs: { shape: H } }), S.push(s)); } if (n != null) { - let H = wh(n.shape, f); - H != null && (n = re({ inputs: { x: n }, backend: o, attrs: { shape: H } }), w.push(n)); + let H = Oh(n.shape, f); + H != null && (n = te({ inputs: { x: n }, backend: o, attrs: { shape: H } }), S.push(n)); } - let k = re({ inputs: { x: e }, backend: o, attrs: { shape: [1, h, y.sizeFromShape(e.shape) / h] } }); - w.push(k); - let _ = new Sh(x, t10), E = [r.shape, [t10.padInfo.top, t10.padInfo.left], [t10.strideHeight, t10.strideWidth], [t10.dilationHeight, t10.dilationWidth], [t10.inChannels], [t10.filterWidth * t10.inChannels], [t10.outWidth]], A = o.runWebGLProgram(_, [r], "float32", E), R = re({ inputs: { x: A }, backend: o, attrs: { shape: x } }); - w.push(A), w.push(R); - let D = n != null, P = s != null, M = i === "leakyrelu", L = i ? Ha(i, true) : null, V = new fc(f ? R.shape : k.shape, f ? k.shape : R.shape, f ? [t10.batchSize, g, t10.outChannels] : [t10.batchSize, t10.outChannels, g], b, C, D, L, P, M), z = f ? [R, k] : [k, R]; - if (n && z.push(n), P && z.push(s), M) { + let k = te({ inputs: { x: e }, backend: o, attrs: { shape: [1, h, y.sizeFromShape(e.shape) / h] } }); + S.push(k); + let _ = new Ph(x, t10), E = [r.shape, [t10.padInfo.top, t10.padInfo.left], [t10.strideHeight, t10.strideWidth], [t10.dilationHeight, t10.dilationWidth], [t10.inChannels], [t10.filterWidth * t10.inChannels], [t10.outWidth]], R = o.runWebGLProgram(_, [r], "float32", E), D = te({ inputs: { x: R }, backend: o, attrs: { shape: x } }); + S.push(R), S.push(D); + let F = n != null, O = s != null, M = i === "leakyrelu", L = i ? hi(i, true) : null, B = new Lc(f ? D.shape : k.shape, f ? k.shape : D.shape, f ? [t10.batchSize, g, t10.outChannels] : [t10.batchSize, t10.outChannels, g], b, w, F, L, O, M), z = f ? [D, k] : [k, D]; + if (n && z.push(n), O && z.push(s), M) { let H = o.makeTensorInfo([], "float32", y.createScalarValue(a, "float32")); - z.push(H), w.push(H); + z.push(H), S.push(H); } - let U = o.runWebGLProgram(V, z, "float32"), K = re({ inputs: { x: U }, backend: o, attrs: { shape: t10.outShape } }); - w.push(U); - for (let H of w) + let U = o.runWebGLProgram(B, z, "float32"), j = te({ inputs: { x: U }, backend: o, attrs: { shape: t10.outShape } }); + S.push(U); + for (let H of S) o.disposeIntermediateTensorInfo(H); - return K; + return j; } -function XY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = o, l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l), d; +function u9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = o, l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l), d; if (m.filterHeight === 1 && m.filterWidth === 1 && m.dilationHeight === 1 && m.dilationWidth === 1 && m.strideHeight === 1 && m.strideWidth === 1 && (m.padInfo.type === "SAME" || m.padInfo.type === "VALID")) - d = Ih({ x: n, filter: s, convInfo: m, backend: t10 }); - else if (m.strideWidth <= 2 && l === "channelsLast" && O().getBool("WEBGL_EXP_CONV")) { - let h = new xc(m), g = [[m.padInfo.top, m.padInfo.left], [m.strideHeight, m.strideWidth], [m.dilationHeight, m.dilationWidth], [m.inHeight, m.inWidth]]; + d = Mh({ x: n, filter: s, convInfo: m, backend: t10 }); + else if (m.strideWidth <= 2 && l === "channelsLast" && P().getBool("WEBGL_EXP_CONV")) { + let h = new Vc(m), g = [[m.padInfo.top, m.padInfo.left], [m.strideHeight, m.strideWidth], [m.dilationHeight, m.dilationWidth], [m.inHeight, m.inWidth]]; d = t10.runWebGLProgram(h, [n, s], "float32", g); - } else if (O().getBool("WEBGL_CONV_IM2COL")) - d = vh({ x: n, filter: s, convInfo: m, backend: t10 }); + } else if (P().getBool("WEBGL_CONV_IM2COL")) + d = Lh({ x: n, filter: s, convInfo: m, backend: t10 }); else { - let h = new gc(m); + let h = new zc(m); d = t10.runWebGLProgram(h, [n, s], "float32"); } - let f = re({ inputs: { x: d }, backend: t10, attrs: { shape: m.outShape } }); + let f = te({ inputs: { x: d }, backend: t10, attrs: { shape: m.outShape } }); return t10.disposeIntermediateTensorInfo(d), f; } -var WA = { kernelName: Uo, backendName: "webgl", kernelFunc: XY }; -var kh = class { +var dA = { kernelName: en, backendName: "webgl", kernelFunc: u9 }; +var Bh = class { constructor(e) { this.variableNames = ["x", "dy"], this.outputShape = e.filterShape; let t10 = e.strideHeight, o = e.strideWidth, n = e.padInfo.top, s = e.padInfo.left, a = e.dataFormat === "channelsLast"; @@ -20502,16 +20880,11 @@ var kh = class { continue; } - if (${a}) { - float dyValue = getDy(b, yR, yC, d2); - float xValue = getX(b, xR, xC, d1); - dotProd += (xValue * dyValue); - } else { - float dyValue = getDy(b, d2, yR, yC); - float xValue = getX(b, d1, xR, xC); - dotProd += (xValue * dyValue); - } - + ${a ? `float dyValue = getDy(b, yR, yC, d2); + float xValue = getX(b, xR, xC, d1); + dotProd += (xValue * dyValue);` : `float dyValue = getDy(b, d2, yR, yC); + float xValue = getX(b, d1, xR, xC); + dotProd += (xValue * dyValue);`} } } } @@ -20520,7 +20893,7 @@ var kh = class { `; } }; -var Nh = class { +var zh = class { constructor(e) { this.variableNames = ["dy", "W"], this.outputShape = e.inShape; let t10 = e.filterHeight, o = e.filterWidth, n = e.strideHeight, s = e.strideWidth, a = e.dataFormat === "channelsLast", i = t10 - 1 - e.padInfo.top, p = o - 1 - e.padInfo.left, u = a ? 1 : 2, c = a ? 2 : 3, l = a ? 3 : 1; @@ -20580,7 +20953,7 @@ var Nh = class { `; } }; -var Th = class { +var Vh = class { constructor(e) { this.variableNames = ["x", "dy"], this.outputShape = e.filterShape; let t10 = e.strideDepth, o = e.strideHeight, n = e.strideWidth, s = e.padInfo.front, a = e.padInfo.top, i = e.padInfo.left; @@ -20629,7 +21002,7 @@ var Th = class { `; } }; -var _h = class { +var Wh = class { constructor(e) { this.variableNames = ["dy", "W"], this.outputShape = e.inShape; let t10 = e.filterDepth, o = e.filterHeight, n = e.filterWidth, s = e.strideDepth, a = e.strideHeight, i = e.strideWidth, p = t10 - 1 - e.padInfo.front, u = o - 1 - e.padInfo.top, c = n - 1 - e.padInfo.left; @@ -20693,51 +21066,144 @@ var _h = class { `; } }; -function YY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, filterShape: c } = o, l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), d = new kh(m); +function p9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, filterShape: c } = o, l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), d = new Bh(m); return t10.runWebGLProgram(d, [n, s], "float32"); } -var UA = { kernelName: oi, backendName: "webgl", kernelFunc: YY }; -function QY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { inputShape: a, strides: i, pad: p, dataFormat: u, dimRoundingMode: c } = o, l = S.convertConv2DDataFormat(u), m = S.computeConv2DInfo(a, s.shape, i, 1, p, c, false, l), d = new Nh(m); - return t10.runWebGLProgram(d, [n, s], "float32"); +var fA = { kernelName: $i, backendName: "webgl", kernelFunc: p9 }; +var Uh = class { + constructor(e) { + this.variableNames = ["dy", "W"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "strides", type: "vec2" }], this.outputShape = e.inShape, this.enableShapeUniforms = ut(this.outputShape.length); + let t10 = e.filterHeight, o = e.filterWidth, n = t10 - 1 - e.padInfo.top, s = o - 1 - e.padInfo.left; + this.userCode = ` + const ivec2 pads = ivec2(${n}, ${s}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d1 = coords[3]; + + ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads; + int dyRCorner = dyCorner.x; + int dyCCorner = dyCorner.y; + + vec4 result = vec4(0.); + for (int wR = 0; wR < ${t10}; wR++) { + float dyR = float(dyRCorner + wR) / strides[0]; + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + int wRPerm = ${t10} - 1 - wR; + + for (int wC = 0; wC < ${o}; wC++) { + int wCPerm = ${o} - 1 - wC; + + float dyC = float(dyCCorner + wC) / strides[1]; + bool idyCVal = (dyC >= 0.0) && (dyC < ${e.outWidth}.0) + && (fract(dyC) == 0.0); + int idyC = int(dyC); + + float dyC2 = float(dyCCorner + wC + 1) / strides[1]; + bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ${e.outWidth}.0) + && (fract(dyC2) == 0.0); + int idyC2 = int(dyC2); + + if (idyCVal && idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec4 dySample2 = (idyC / 2 == idyC2 / 2) ? + dySample : getDy(batch, idyR, idyC2, d2); + + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + + dyValue = mod(float(idyC2), 2.) == 0. ? + dySample2.xy : dySample2.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC2, d2); + vec2 dyValue = mod(float(idyC2), 2.) == 0. ? + dySample.xy : dySample.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } + } + } + setOutput(result); + } + `; + } +}; +function c9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { inputShape: a, strides: i, pad: p, dataFormat: u, dimRoundingMode: c } = o, l = C.convertConv2DDataFormat(u), m = C.computeConv2DInfo(a, s.shape, i, 1, p, c, false, l); + if (P().getBool("WEBGL_PACK") && l === "channelsLast") { + let d = [[m.strideHeight, m.strideWidth]], f = new Uh(m); + return t10.runWebGLProgram(f, [n, s], "float32", d); + } else { + let d = new zh(m); + return t10.runWebGLProgram(d, [n, s], "float32"); + } } -var GA = { kernelName: Go, backendName: "webgl", kernelFunc: QY }; -function ZY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = S.computeConv3DInfo(n.shape, s.shape, a, p, i), c = new Ch(u); +var hA = { kernelName: tn, backendName: "webgl", kernelFunc: c9 }; +function l9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = C.computeConv3DInfo(n.shape, s.shape, a, p, i), c = new Fh(u); return t10.runWebGLProgram(c, [n, s], "float32"); } -var HA = { kernelName: gp, backendName: "webgl", kernelFunc: ZY }; -function JY(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, filterShape: p } = o, u = S.computeConv3DInfo(n.shape, p, a, 1, i), c = new Th(u); +var gA = { kernelName: rn, backendName: "webgl", kernelFunc: l9 }; +function m9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, filterShape: p } = o, u = C.computeConv3DInfo(n.shape, p, a, 1, i), c = new Vh(u); return t10.runWebGLProgram(c, [n, s], "float32"); } -var KA = { kernelName: km, backendName: "webgl", kernelFunc: JY }; -function eQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { pad: a, strides: i, inputShape: p } = o, u = S.computeConv3DInfo(p, s.shape, i, 1, a), c = new _h(u); +var xA = { kernelName: za, backendName: "webgl", kernelFunc: m9 }; +function d9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { pad: a, strides: i, inputShape: p } = o, u = C.computeConv3DInfo(p, s.shape, i, 1, a), c = new Wh(u); return t10.runWebGLProgram(c, [n, s], "float32"); } -var qA = { kernelName: xp, backendName: "webgl", kernelFunc: eQ }; -var tQ = $o + ` +var yA = { kernelName: on, backendName: "webgl", kernelFunc: d9 }; +var f9 = Do + ` return cos(x); `; -var rQ = he({ opSnippet: tQ }); -var jA = { kernelName: Ho, backendName: "webgl", kernelFunc: rQ }; -var oQ = ` +var h9 = ` + vec4 result = cos(x); + bvec4 isNaN = isnan(x); + ${Kr} + return result; +`; +var g9 = ge({ opSnippet: f9, packedOpSnippet: h9 }); +var bA = { kernelName: nn, backendName: "webgl", kernelFunc: g9 }; +var x9 = ` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; `; -var nQ = he({ opSnippet: oQ }); -var XA = { kernelName: Ko, backendName: "webgl", kernelFunc: nQ }; -var $h = class { +var y9 = ge({ opSnippet: x9 }); +var CA = { kernelName: sn, backendName: "webgl", kernelFunc: y9 }; +var Gh = class { constructor(e, t10, o, n, s) { this.variableNames = ["Image", "Boxes", "BoxInd"], this.outputShape = []; let [a, i, p, u] = e, [c] = t10, [l, m] = o; this.outputShape = [c, l, m, u]; - let d = n === "bilinear" ? 1 : 0, [f, h] = [`${i - 1}.0`, `${p - 1}.0`], [g, x, b] = l > 1 ? [`${(i - 1) / (l - 1)}`, "(y2-y1) * height_ratio", `y1*${f} + float(y)*(height_scale)`] : ["0.0", "0.0", `0.5 * (y1+y2) * ${f}`], [C, w, k] = m > 1 ? [`${(p - 1) / (m - 1)}`, "(x2-x1) * width_ratio", `x1*${h} + float(x)*(width_scale)`] : ["0.0", "0.0", `0.5 * (x1+x2) * ${h}`]; + let d = n === "bilinear" ? 1 : 0, [f, h] = [`${i - 1}.0`, `${p - 1}.0`], [g, x, b] = l > 1 ? [`${(i - 1) / (l - 1)}`, "(y2-y1) * height_ratio", `y1*${f} + float(y)*(height_scale)`] : ["0.0", "0.0", `0.5 * (y1+y2) * ${f}`], [w, S, k] = m > 1 ? [`${(p - 1) / (m - 1)}`, "(x2-x1) * width_ratio", `x1*${h} + float(x)*(width_scale)`] : ["0.0", "0.0", `0.5 * (x1+x2) * ${h}`]; this.userCode = ` const float height_ratio = float(${g}); - const float width_ratio = float(${C}); + const float width_ratio = float(${w}); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -20758,7 +21224,7 @@ var $h = class { } float height_scale = ${x}; - float width_scale = ${w}; + float width_scale = ${S}; float in_y = ${b}; if( in_y < 0.0 || in_y > ${f} ) { @@ -20799,36 +21265,36 @@ var $h = class { `; } }; -var sQ = (r) => { - let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, c = new $h(n.shape, s.shape, i, p, u); +var b9 = (r) => { + let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, c = new Gh(n.shape, s.shape, i, p, u); return t10.runWebGLProgram(c, [n, s, a], "float32"); }; -var YA = { kernelName: Xo, backendName: "webgl", kernelFunc: sQ }; -var Uu; +var wA = { kernelName: pn, backendName: "webgl", kernelFunc: b9 }; +var Sp; (function(r) { r.Prod = "*", r.Sum = "+"; -})(Uu || (Uu = {})); -var Rl = class { +})(Sp || (Sp = {})); +var em = class { constructor(e, t10, o, n) { this.op = e, this.outputShape = t10, this.variableNames = ["x"], this.customUniforms = [{ name: "index", type: "float" }]; - let s = this.outputShape.length, a = this.op === Uu.Prod ? "1.0" : "0.0", i = o ? a : `getX(${QA(s, "coords", this.op)})`, p = this.outputShape[this.outputShape.length - 1], u = "", c = ""; + let s = this.outputShape.length, a = this.op === Sp.Prod ? "1.0" : "0.0", i = o ? a : `getX(${SA(s, "coords", this.op)})`, p = this.outputShape[this.outputShape.length - 1], u = "", c = ""; o ? (u = n ? `end != ${p - 1}` : "end != 0", c = n ? "end + 1" : "end - 1") : (u = n ? `end + pow2 < ${p}` : "end >= pow2", c = n ? "end + pow2" : "end - pow2"), this.userCode = ` void main() { - ${$e(s)} coords = getOutputCoords(); - int end = ${ZA(s, "coords", this.op)}; + ${Re(s)} coords = getOutputCoords(); + int end = ${IA(s, "coords", this.op)}; float val = ${i}; int pow2 = int(pow(2.0, index)); if (${u}) { int idx = ${c}; - ${ZA(s, "coords", this.op)} = idx; - val ${this.op}= getX(${QA(s, "coords", this.op)}); + ${IA(s, "coords", this.op)} = idx; + val ${this.op}= getX(${SA(s, "coords", this.op)}); } setOutput(val); } `; } }; -function QA(r, e, t10) { +function SA(r, e, t10) { if (r === 1) return `${e}`; if (r === 2) @@ -20839,7 +21305,7 @@ function QA(r, e, t10) { return `${e}.x, ${e}.y, ${e}.z, ${e}.w`; throw new Error(`Cumulative ${t10} for rank ${r} is not yet supported`); } -function ZA(r, e, t10) { +function IA(r, e, t10) { if (r === 1) return `${e}`; if (r === 2) @@ -20850,50 +21316,50 @@ function ZA(r, e, t10) { return `${e}.w`; throw new Error(`Cumulative ${t10} for rank ${r} is not yet supported`); } -function Eh(r, e, t10, o, n, s) { - let a = e.shape.length, i = S.getAxesPermutation([o], a), p = e; - i != null && (p = yt({ inputs: { x: e }, backend: t10, attrs: { perm: i } })); - let u = S.getInnerMostAxes(1, a)[0]; +function Hh(r, e, t10, o, n, s) { + let a = e.shape.length, i = C.getAxesPermutation([o], a), p = e; + i != null && (p = bt({ inputs: { x: e }, backend: t10, attrs: { perm: i } })); + let u = C.getInnerMostAxes(1, a)[0]; if (u !== a - 1) throw new Error(`WebGL cumprod shader expects an inner-most axis=${e.shape.length - 1} but got axis=${o}`); - let c = p.shape[u], l = At({ inputs: { x: p }, backend: t10 }); + let c = p.shape[u], l = Dt({ inputs: { x: p }, backend: t10 }); for (let m = 0; m <= Math.ceil(Math.log2(c)) - 1; m++) { - let d = new Rl(r, p.shape, false, s), f = [[m]], h = l; + let d = new em(r, p.shape, false, s), f = [[m]], h = l; l = t10.runWebGLProgram(d, [l], l.dtype, f), t10.disposeIntermediateTensorInfo(h); } if (n) { - let m = new Rl(r, p.shape, n, s), d = l; + let m = new em(r, p.shape, n, s), d = l; l = t10.runWebGLProgram(m, [l], l.dtype), t10.disposeIntermediateTensorInfo(d); } if (i != null) { - let m = S.getUndoAxesPermutation(i), d = yt({ inputs: { x: l }, backend: t10, attrs: { perm: m } }); + let m = C.getUndoAxesPermutation(i), d = bt({ inputs: { x: l }, backend: t10, attrs: { perm: m } }); return t10.disposeIntermediateTensorInfo(l), t10.disposeIntermediateTensorInfo(p), d; } return l; } -function aQ(r) { +function C9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - return Eh(Uu.Prod, n, t10, s, a, i); + return Hh(Sp.Prod, n, t10, s, a, i); } -var JA = { kernelName: qo, backendName: "webgl", kernelFunc: aQ }; -function iQ(r) { +var vA = { kernelName: an, backendName: "webgl", kernelFunc: C9 }; +function w9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - return Eh(Uu.Sum, n, t10, s, a, i); + return Hh(Sp.Sum, n, t10, s, a, i); } -var eR = { kernelName: jo, backendName: "webgl", kernelFunc: iQ }; -function uQ(r) { +var kA = { kernelName: un, backendName: "webgl", kernelFunc: w9 }; +function S9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a, binaryOutput: i } = o; if (n.shape.length === 1) { - let p = t10.readSync(n.dataId), u = t10.readSync(s.dataId), c = Kf(p, u, s.dtype, s.shape, a); + let p = t10.readSync(n.dataId), u = t10.readSync(s.dataId), c = ah(p, u, s.dtype, s.shape, a); return t10.makeTensorInfo([a], s.dtype, c); } else if (n.shape.length === 2) { - let p = t10.bufferSync(n), u = t10.bufferSync(s), c = z$(p, u, a, i); + let p = t10.bufferSync(n), u = t10.bufferSync(s), c = lR(p, u, a, i); return t10.makeTensorInfo(c.shape, s.dtype, c.values); } throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`); } -var tR = { kernelName: ni, backendName: "webgl", kernelFunc: uQ }; -var Ah = class { +var NA = { kernelName: Qs, backendName: "webgl", kernelFunc: S9 }; +var Kh = class { constructor(e, t10, o) { this.variableNames = ["x"], this.outputShape = [], this.outputShape = e, this.blockSize = t10, this.dataFormat = o, this.userCode = ` void main() { @@ -20932,14 +21398,14 @@ var Ah = class { return this.dataFormat === "NHWC" ? "getX(b, in_h, in_w, in_d)" : "getX(b, in_d, in_h, in_w)"; } }; -function pQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = new Ah(f, s, a); +function I9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = new Kh(f, s, a); return t10.runWebGLProgram(h, [n], n.dtype); } -var rR = { kernelName: Yo, backendName: "webgl", kernelFunc: pQ }; -var yc = class { +var TA = { kernelName: cn, backendName: "webgl", kernelFunc: I9 }; +var Wc = class { constructor(e, t10 = false, o = null, n = false, s = false) { - this.variableNames = ["x", "W"], this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = lt(this.outputShape.length); + this.variableNames = ["x", "W"], this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = ut(this.outputShape.length); let a = e.filterHeight, i = e.filterWidth, p = e.outChannels / e.inChannels, u = "", c = ""; o && (n ? u = `float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); @@ -20999,9 +21465,9 @@ var yc = class { `; } }; -var bc = class { +var Uc = class { constructor(e, t10 = false, o = null, n = false, s = false) { - this.variableNames = ["x", "W"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = lt(this.outputShape.length); + this.variableNames = ["x", "W"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "pads", type: "ivec2" }, { name: "strides", type: "ivec2" }, { name: "dilations", type: "ivec2" }, { name: "inDims", type: "ivec2" }], this.outputShape = e.outShape, this.enableShapeUniforms = ut(this.outputShape.length); let a = e.outChannels / e.inChannels, i = e.padInfo.left, p = e.strideWidth, u = e.dilationWidth, c = e.filterHeight, l = e.filterWidth, m = l, d = ` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`; @@ -21072,9 +21538,9 @@ var bc = class { xC${b} = xTexelC${b}; `, b + 1 < l)) { - let C = i % 2 === 0 ? y.nearestLargerEven(u) : u; + let w = i % 2 === 0 ? y.nearestLargerEven(u) : u; u % 2 === 0 && i % 2 === 1 || u % 2 !== 0 && i % 2 !== 1 ? (d += ` - xCOffset = xC + imod(pads[1], 2) + ${C}; + xCOffset = xC + imod(pads[1], 2) + ${w}; if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b + 1}Ready == 0) { xTexelC${b + 1} = getX(batch, xR, xCOffset, d1); @@ -21096,10 +21562,10 @@ var bc = class { } ` : d += ` xC${b + 1} = vec4(xTexelC${b}.zw, xTexelC${b + 1}.xy); - `) : C === 1 ? d += ` + `) : w === 1 ? d += ` xC${b + 1} = xTexelC${b}; ` : d += ` - xCOffset = xC + ${C}; + xCOffset = xC + ${w}; if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b + 1}Ready == 0) { xTexelC${b + 1} = getX(batch, xR, xCOffset, d1); @@ -21216,16 +21682,16 @@ var bc = class { `; } }; -function cQ(r) { +function v9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p, dimRoundingMode: u } = o, c = p; - c == null && (c = [1, 1]), y.assert(S.eitherStridesOrDilationsAreOne(a, c), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`); - let l = S.computeConv2DInfo(n.shape, s.shape, a, c, i, u, true), m; - O().getBool("WEBGL_PACK_DEPTHWISECONV") && l.strideWidth <= 2 && l.outChannels / l.inChannels === 1 ? m = new bc(l) : m = new yc(l); + c == null && (c = [1, 1]), y.assert(C.eitherStridesOrDilationsAreOne(a, c), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`); + let l = C.computeConv2DInfo(n.shape, s.shape, a, c, i, u, true), m; + P().getBool("WEBGL_PACK_DEPTHWISECONV") && l.strideWidth <= 2 && l.outChannels / l.inChannels === 1 ? m = new Uc(l) : m = new Wc(l); let d = [[l.padInfo.top, l.padInfo.left], [l.strideHeight, l.strideWidth], [l.dilationHeight, l.dilationWidth], [l.inHeight, l.inWidth]]; return t10.runWebGLProgram(m, [n, s], "float32", d); } -var oR = { kernelName: Qo, backendName: "webgl", kernelFunc: cQ }; -var Rh = class { +var _A = { kernelName: ln, backendName: "webgl", kernelFunc: v9 }; +var qh = class { constructor(e) { this.variableNames = ["x", "dy"], this.outputShape = e.filterShape; let t10 = e.strideHeight, o = e.strideWidth, n = e.padInfo.top, s = e.padInfo.left, a = e.outChannels / e.inChannels; @@ -21267,7 +21733,7 @@ var Rh = class { `; } }; -var Dh = class { +var jh = class { constructor(e) { this.variableNames = ["dy", "W"], this.outputShape = e.inShape; let t10 = e.filterHeight, o = e.filterWidth, n = e.strideHeight, s = e.strideWidth, a = t10 - 1 - e.padInfo.top, i = o - 1 - e.padInfo.left, p = e.outChannels / e.inChannels; @@ -21319,17 +21785,17 @@ var Dh = class { `; } }; -function lQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, filterShape: c } = o, l = S.computeConv2DInfo(n.shape, c, a, i, p, u, true), m = new Rh(l); +function k9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, filterShape: c } = o, l = C.computeConv2DInfo(n.shape, c, a, i, p, u, true), m = new qh(l); return t10.runWebGLProgram(m, [n, s], "float32"); } -var nR = { kernelName: yp, backendName: "webgl", kernelFunc: lQ }; -function mQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, inputShape: c } = o, l = S.computeConv2DInfo(c, s.shape, a, i, p, u, true), m = new Dh(l); +var $A = { kernelName: Ei, backendName: "webgl", kernelFunc: k9 }; +function N9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, inputShape: c } = o, l = C.computeConv2DInfo(c, s.shape, a, i, p, u, true), m = new jh(l); return t10.runWebGLProgram(m, [n, s], "float32"); } -var sR = { kernelName: bp, backendName: "webgl", kernelFunc: mQ }; -var Fh = class { +var EA = { kernelName: Ri, backendName: "webgl", kernelFunc: N9 }; +var Xh = class { constructor(e) { this.variableNames = ["X"], this.outputShape = [e, e], this.userCode = ` void main() { @@ -21340,12 +21806,12 @@ var Fh = class { `; } }; -function dQ(r) { - let { inputs: e, backend: t10 } = r, { x: o } = e, n = [...o.shape, ...o.shape], s = y.sizeFromShape(o.shape), a = re({ inputs: { x: o }, backend: t10, attrs: { shape: [s] } }), i = new Fh(s), p = t10.runWebGLProgram(i, [a], a.dtype), u = re({ inputs: { x: p }, backend: t10, attrs: { shape: n } }); +function T9(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = [...o.shape, ...o.shape], s = y.sizeFromShape(o.shape), a = te({ inputs: { x: o }, backend: t10, attrs: { shape: [s] } }), i = new Xh(s), p = t10.runWebGLProgram(i, [a], a.dtype), u = te({ inputs: { x: p }, backend: t10, attrs: { shape: n } }); return t10.disposeIntermediateTensorInfo(a), t10.disposeIntermediateTensorInfo(p), u; } -var aR = { kernelName: si, backendName: "webgl", kernelFunc: dQ }; -var Oh = class { +var RA = { kernelName: Zs, backendName: "webgl", kernelFunc: T9 }; +var Yh = class { constructor(e) { this.variableNames = ["x", "W"], this.outputShape = e.outShape; let { inHeight: t10, inWidth: o, padInfo: n, strideHeight: s, strideWidth: a, filterHeight: i, filterWidth: p, dilationHeight: u, dilationWidth: c } = e, { top: l, left: m } = n; @@ -21390,35 +21856,35 @@ var Oh = class { `; } }; -function fQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = S.computeDilation2DInfo(n.shape, s.shape, a, i, "NHWC", p), c, l = new Oh(u); +function _9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = C.computeDilation2DInfo(n.shape, s.shape, a, i, "NHWC", p), c, l = new Yh(u); c = t10.runWebGLProgram(l, [n, s], "float32"); - let m = re({ inputs: { x: c }, backend: t10, attrs: { shape: u.outShape } }); + let m = te({ inputs: { x: c }, backend: t10, attrs: { shape: u.outShape } }); return t10.disposeIntermediateTensorInfo(c), m; } -var iR = { kernelName: ai, backendName: "webgl", kernelFunc: fQ }; -function hQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = S.decodeEinsumEquation(n, s.length); - S.checkEinsumDimSizes(a.length, p, s); - let { path: u, steps: c } = S.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; +var DA = { kernelName: mn, backendName: "webgl", kernelFunc: _9 }; +function $9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = C.decodeEinsumEquation(n, s.length); + C.checkEinsumDimSizes(a.length, p, s); + let { path: u, steps: c } = C.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; for (let h = 0; h < l; ++h) { for (let g of c[h]) { - let { permutationIndices: x, expandDims: b } = S.getEinsumPermutation(d, p[g]), C; - S.isIdentityPermutation(x) ? C = s[g] : (C = yt({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(C)); - let w = C.shape.slice(); + let { permutationIndices: x, expandDims: b } = C.getEinsumPermutation(d, p[g]), w; + C.isIdentityPermutation(x) ? w = s[g] : (w = bt({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(w)); + let S = w.shape.slice(); for (let k = 0; k < b.length; ++k) - w.splice(b[k], 0, 1); - y.arraysEqual(C.shape, w) || (C = re({ inputs: { x: C }, backend: t10, attrs: { shape: w } }), f.push(C)), m === null ? m = C : (m = El({ inputs: { a: C, b: m }, backend: t10 }), f.push(m)); + S.splice(b[k], 0, 1); + y.arraysEqual(w.shape, S) || (w = te({ inputs: { x: w }, backend: t10, attrs: { shape: S } }), f.push(w)), m === null ? m = w : (m = Zl({ inputs: { a: w, b: m }, backend: t10 }), f.push(m)); } - h < l - 1 && (u[h] >= 0 && (m = Vu({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); + h < l - 1 && (u[h] >= 0 && (m = bp({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); } for (let h of f) h !== m && t10.disposeIntermediateTensorInfo(h); return m; } -var uR = { kernelName: ii, backendName: "webgl", kernelFunc: hQ }; -var gQ = "return (x >= 0.0) ? x : (exp(x) - 1.0);"; -var xQ = ` +var AA = { kernelName: Fi, backendName: "webgl", kernelFunc: $9 }; +var E9 = "return (x >= 0.0) ? x : (exp(x) - 1.0);"; +var R9 = ` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -21428,46 +21894,46 @@ var xQ = ` return result; `; -var yQ = he({ opSnippet: gQ, packedOpSnippet: xQ }); -var pR = { kernelName: Jo, backendName: "webgl", kernelFunc: yQ }; -var bQ = "return (b >= 1.0) ? a : a * (b + 1.0);"; -var CQ = ` +var D9 = ge({ opSnippet: E9, packedOpSnippet: R9 }); +var FA = { kernelName: fn, backendName: "webgl", kernelFunc: D9 }; +var A9 = "return (b >= 0.0) ? a : a * (b + 1.0);"; +var F9 = ` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); `; -var SQ = (r) => { - let { inputs: e, backend: t10 } = r, { dy: o, y: n } = e, s = O().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new _o(CQ, o.shape, n.shape) : new io(bQ, o.shape, n.shape); +var P9 = (r) => { + let { inputs: e, backend: t10 } = r, { dy: o, y: n } = e, s = P().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new Ro(F9, o.shape, n.shape) : new lo(A9, o.shape, n.shape); return t10.runWebGLProgram(s, [o, n], o.dtype); }; -var cR = { kernelName: Nm, backendName: "webgl", kernelFunc: SQ }; -var wQ = ` +var PA = { kernelName: Va, backendName: "webgl", kernelFunc: P9 }; +var O9 = ` return vec4(equal(a, b)); `; -var IQ = "return float(a == b);"; -var vQ = tt({ opSnippet: IQ, packedOpSnippet: wQ, dtype: "bool", cpuKernelImpl: H$ }); -var lR = { kernelName: en, backendName: "webgl", kernelFunc: vQ }; -var kQ = ` +var M9 = "return float(a == b);"; +var L9 = nt({ opSnippet: M9, packedOpSnippet: O9, dtype: "bool", cpuKernelImpl: hR }); +var OA = { kernelName: hn, backendName: "webgl", kernelFunc: L9 }; +var B9 = ` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - float p = ${S.ERF_P}; - float a1 = ${S.ERF_A1}; - float a2 = ${S.ERF_A2}; - float a3 = ${S.ERF_A3}; - float a4 = ${S.ERF_A4}; - float a5 = ${S.ERF_A5}; + float p = ${C.ERF_P}; + float a1 = ${C.ERF_A1}; + float a2 = ${C.ERF_A2}; + float a3 = ${C.ERF_A3}; + float a4 = ${C.ERF_A4}; + float a5 = ${C.ERF_A5}; float sign = sign(x); x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); `; -var NQ = he({ opSnippet: kQ }); -var mR = { kernelName: da, backendName: "webgl", kernelFunc: NQ }; -var TQ = $o + ` +var z9 = ge({ opSnippet: B9 }); +var MA = { kernelName: Wa, backendName: "webgl", kernelFunc: z9 }; +var V9 = Do + ` return exp(x); `; -var _Q = ` +var W9 = ` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -21477,17 +21943,17 @@ var _Q = ` return result; `; -var Ww = he({ opSnippet: TQ, packedOpSnippet: _Q, cpuKernelImpl: K$, dtype: "float32" }); -var dR = { kernelName: tn, backendName: "webgl", kernelFunc: Ww }; -function Ph(r) { +var av = ge({ opSnippet: V9, packedOpSnippet: W9, cpuKernelImpl: gR, dtype: "float32" }); +var LA = { kernelName: gn, backendName: "webgl", kernelFunc: av }; +function Qh(r) { let { inputs: e, attrs: t10, backend: o } = r, { dim: n } = t10, { input: s } = e, a = s.shape.length, i = s.shape.slice(), p = n; - return n < 0 && (y.assert(-(a + 1) <= n, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + n + 1), i.splice(p, 0, 1), re({ inputs: { x: s }, backend: o, attrs: { shape: i } }); + return n < 0 && (y.assert(-(a + 1) <= n, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + n + 1), i.splice(p, 0, 1), te({ inputs: { x: s }, backend: o, attrs: { shape: i } }); } -var fR = { kernelName: Ss, backendName: "webgl", kernelFunc: Ph }; -var hR = "return exp(x) - 1.0;"; -var $Q = he({ opSnippet: hR, packedOpSnippet: hR, cpuKernelImpl: q$ }); -var gR = { kernelName: fa, backendName: "webgl", kernelFunc: $Q }; -var Dl = class { +var BA = { kernelName: Js, backendName: "webgl", kernelFunc: Qh }; +var zA = "return exp(x) - 1.0;"; +var U9 = ge({ opSnippet: zA, packedOpSnippet: zA, cpuKernelImpl: xR }); +var VA = { kernelName: xn, backendName: "webgl", kernelFunc: U9 }; +var tm = class { constructor(e, t10, o) { this.variableNames = ["real", "imag"]; let n = t10[1]; @@ -21535,18 +22001,18 @@ var Dl = class { `; } }; -function Mh(r, e, t10) { - let o = t10.texData.get(r.dataId), n = y.sizeFromShape(r.shape), s = r.shape[r.shape.length - 1], a = n / s, i = re({ inputs: { x: r }, backend: t10, attrs: { shape: [a, s] } }), p = i.shape, u = new Dl("real", p, e), c = new Dl("imag", p, e), l = [{ dataId: o.complexTensorInfos.real.dataId, dtype: o.complexTensorInfos.real.dtype, shape: p }, { dataId: o.complexTensorInfos.imag.dataId, dtype: o.complexTensorInfos.imag.dtype, shape: p }], m = t10.runWebGLProgram(u, l, "float32"), d = t10.runWebGLProgram(c, l, "float32"), f = Ar({ inputs: { real: m, imag: d }, backend: t10 }); +function Zh(r, e, t10) { + let o = t10.texData.get(r.dataId), n = y.sizeFromShape(r.shape), s = r.shape[r.shape.length - 1], a = n / s, i = te({ inputs: { x: r }, backend: t10, attrs: { shape: [a, s] } }), p = i.shape, u = new tm("real", p, e), c = new tm("imag", p, e), l = [{ dataId: o.complexTensorInfos.real.dataId, dtype: o.complexTensorInfos.real.dtype, shape: p }, { dataId: o.complexTensorInfos.imag.dataId, dtype: o.complexTensorInfos.imag.dtype, shape: p }], m = t10.runWebGLProgram(u, l, "float32"), d = t10.runWebGLProgram(c, l, "float32"), f = Fr({ inputs: { real: m, imag: d }, backend: t10 }); t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d); - let h = re({ inputs: { x: f }, backend: t10, attrs: { shape: r.shape } }); + let h = te({ inputs: { x: f }, backend: t10, attrs: { shape: r.shape } }); return t10.disposeIntermediateTensorInfo(i), t10.disposeIntermediateTensorInfo(f), h; } -function EQ(r) { +function G9(r) { let { inputs: e, backend: t10 } = r, { input: o } = e; - return Mh(o, false, t10); + return Zh(o, false, t10); } -var xR = { kernelName: ui, backendName: "webgl", kernelFunc: EQ }; -var Lh = class { +var WA = { kernelName: Pi, backendName: "webgl", kernelFunc: G9 }; +var Jh = class { constructor(e, t10) { this.outputShape = [], this.customUniforms = [{ name: "value", type: "float" }], this.variableNames = ["x"], this.outputShape = e, this.userCode = ` void main() { @@ -21556,18 +22022,18 @@ var Lh = class { `; } }; -function qa(r) { +function xi(r) { let { backend: e, attrs: t10 } = r, { shape: o, value: n } = t10, { dtype: s } = t10; if (s = s || y.inferDtype(n), s === "string") { let a = y.getArrayFromDType(s, y.sizeFromShape(o)); return a.fill(n), e.makeTensorInfo(o, s, a); } else { - let a = new Lh(o, n), i = [[n]]; + let a = new Jh(o, n), i = [[n]]; return e.runWebGLProgram(a, [], s, i); } } -var yR = { kernelName: ws, backendName: "webgl", kernelFunc: qa }; -var Bh = class { +var UA = { kernelName: ea, backendName: "webgl", kernelFunc: xi }; +var eg = class { constructor(e) { this.variableNames = ["Image"], this.outputShape = []; let t10 = e[2]; @@ -21588,14 +22054,14 @@ var Bh = class { `; } }; -var bR = { kernelName: rn, backendName: "webgl", kernelFunc: ({ inputs: r, backend: e }) => { - let { image: t10 } = r, o = e, n = new Bh(t10.shape); +var GA = { kernelName: yn, backendName: "webgl", kernelFunc: ({ inputs: r, backend: e }) => { + let { image: t10 } = r, o = e, n = new eg(t10.shape); return o.runWebGLProgram(n, [t10], t10.dtype); } }; -var CR = "return floor(x);"; -var AQ = he({ opSnippet: CR, packedOpSnippet: CR, cpuKernelImpl: j$ }); -var SR = { kernelName: on, backendName: "webgl", kernelFunc: AQ }; -var RQ = ` +var HA = "return floor(x);"; +var H9 = ge({ opSnippet: HA, packedOpSnippet: HA, cpuKernelImpl: yR }); +var KA = { kernelName: bn, backendName: "webgl", kernelFunc: H9 }; +var K9 = ` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -21606,7 +22072,7 @@ var RQ = ` return NAN; } `; -var DQ = ` +var q9 = ` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -21628,12 +22094,12 @@ var DQ = ` } return vec4(result); `; -var FQ = tt({ opSnippet: RQ, packedOpSnippet: DQ, dtype: "int32" }); -var wR = { kernelName: nn, backendName: "webgl", kernelFunc: FQ }; -var Vh = class { +var j9 = nt({ opSnippet: K9, packedOpSnippet: q9, dtype: "int32" }); +var qA = { kernelName: Cn, backendName: "webgl", kernelFunc: j9 }; +var tg = class { constructor(e) { this.variableNames = ["A"]; - let t10 = wt(), [o, n] = e; + let t10 = It(), [o, n] = e; this.outputShape = e, this.userCode = ` void main() { ivec3 coords = getOutputCoords(); @@ -21659,10 +22125,10 @@ var Vh = class { `; } }; -var zh = class { +var rg = class { constructor(e) { this.variableNames = ["A"], this.packedInputs = false, this.packedOutput = true; - let t10 = wt(), [o, n] = e; + let t10 = It(), [o, n] = e; this.outputShape = e, this.userCode = ` void main() { ivec3 coords = getOutputCoords(); @@ -21700,68 +22166,68 @@ var zh = class { `; } }; -var IR = { kernelName: Zi, backendName: "webgl", kernelFunc: OQ }; -var Cc; -var Uw = O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); -function OQ(r) { +var jA = { kernelName: $u, backendName: "webgl", kernelFunc: X9 }; +var Gc; +var iv = P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); +function X9(r) { let { inputs: e, backend: t10, attrs: o } = r, { pixels: n } = e, { numChannels: s } = o, a = typeof HTMLVideoElement != "undefined" && n instanceof HTMLVideoElement, i = typeof HTMLImageElement != "undefined" && n instanceof HTMLImageElement, [p, u] = a ? [n.videoWidth, n.videoHeight] : [n.width, n.height], c = [u, p], l = [u, p, s]; if (i || a) { - let h = O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); - (Cc == null || h !== Uw) && (Uw = h, Cc = document.createElement("canvas").getContext("2d", { willReadFrequently: Uw })), Cc.canvas.width = p, Cc.canvas.height = u, Cc.drawImage(n, 0, 0, p, u), n = Cc.canvas; + let h = P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); + (Gc == null || h !== iv) && (iv = h, Gc = document.createElement("canvas").getContext("2d", { willReadFrequently: iv })), Gc.canvas.width = p, Gc.canvas.height = u, Gc.drawImage(n, 0, 0, p, u), n = Gc.canvas; } let m = t10.makeTensorInfo(c, "int32"); - t10.texData.get(m.dataId).usage = ur.PIXELS, t10.gpgpu.uploadPixelDataToTexture(t10.getTexture(m.dataId), n); - let d = O().getBool("WEBGL_PACK") ? new zh(l) : new Vh(l), f = t10.runWebGLProgram(d, [m], "int32"); + t10.texData.get(m.dataId).usage = mr.PIXELS, t10.gpgpu.uploadPixelDataToTexture(t10.getTexture(m.dataId), n); + let d = P().getBool("WEBGL_PACK") ? new rg(l) : new tg(l), f = t10.runWebGLProgram(d, [m], "int32"); return t10.disposeData(m.dataId), f; } -function PQ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = S.convertConv2DDataFormat(c), g = S.computeConv2DInfo(n.shape, s.shape, p, l, u, m, false, h), x, b = [], C = a != null, w = i != null, k = d === "leakyrelu", _ = () => { - let A = [n, s], R = (D, P) => { - if (P === "NCHW" && D.shape.length === 1 && D.shape[0] !== 1) { - let M = re({ inputs: { x: D }, backend: t10, attrs: { shape: [D.shape[0], 1, 1] } }); +function Y9(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = C.convertConv2DDataFormat(c), g = C.computeConv2DInfo(n.shape, s.shape, p, l, u, m, false, h), x, b = [], w = a != null, S = i != null, k = d === "leakyrelu", _ = () => { + let R = [n, s], D = (F, O) => { + if (O === "NCHW" && F.shape.length === 1 && F.shape[0] !== 1) { + let M = te({ inputs: { x: F }, backend: t10, attrs: { shape: [F.shape[0], 1, 1] } }); return b.push(M), M; } - return D; + return F; }; - if (C && A.push(R(a, c)), w && A.push(R(i, c)), k) { - let D = t10.makeTensorInfo([], "float32", y.createScalarValue(f, "float32")); - A.push(D), b.push(D); + if (w && R.push(D(a, c)), S && R.push(D(i, c)), k) { + let F = t10.makeTensorInfo([], "float32", y.createScalarValue(f, "float32")); + R.push(F), b.push(F); } - return A; + return R; }; if (g.filterHeight === 1 && g.filterWidth === 1 && g.dilationHeight === 1 && g.dilationWidth === 1 && g.strideHeight === 1 && g.strideWidth === 1 && (g.padInfo.type === "SAME" || g.padInfo.type === "VALID")) - x = Ih({ x: n, filter: s, convInfo: g, backend: t10, bias: a, activation: d, preluActivationWeights: i, leakyreluAlpha: f }); - else if (g.strideWidth <= 2 && h === "channelsLast" && O().getBool("WEBGL_EXP_CONV")) { - let A = d ? Ha(d, true) : null, R = new xc(g, C, A, w, k), D = [[g.padInfo.top, g.padInfo.left], [g.strideHeight, g.strideWidth], [g.dilationHeight, g.dilationWidth], [g.inHeight, g.inWidth]], P = _(); - x = t10.runWebGLProgram(R, P, "float32", D); - } else if (O().getBool("WEBGL_CONV_IM2COL")) - x = vh({ x: n, filter: s, convInfo: g, backend: t10, bias: a, activation: d, preluActivationWeights: i, leakyreluAlpha: f }); + x = Mh({ x: n, filter: s, convInfo: g, backend: t10, bias: a, activation: d, preluActivationWeights: i, leakyreluAlpha: f }); + else if (g.strideWidth <= 2 && h === "channelsLast" && P().getBool("WEBGL_EXP_CONV")) { + let R = d ? hi(d, true) : null, D = new Vc(g, w, R, S, k), F = [[g.padInfo.top, g.padInfo.left], [g.strideHeight, g.strideWidth], [g.dilationHeight, g.dilationWidth], [g.inHeight, g.inWidth]], O = _(); + x = t10.runWebGLProgram(D, O, "float32", F); + } else if (P().getBool("WEBGL_CONV_IM2COL")) + x = Lh({ x: n, filter: s, convInfo: g, backend: t10, bias: a, activation: d, preluActivationWeights: i, leakyreluAlpha: f }); else { - let A = d ? Ha(d, false) : null, R = new gc(g, C, A, w, k), D = _(); - x = t10.runWebGLProgram(R, D, "float32"); + let R = d ? hi(d, false) : null, D = new zc(g, w, R, S, k), F = _(); + x = t10.runWebGLProgram(D, F, "float32"); } - let E = re({ inputs: { x }, backend: t10, attrs: { shape: g.outShape } }); - return b.push(x), b.forEach((A) => t10.disposeIntermediateTensorInfo(A)), E; + let E = te({ inputs: { x }, backend: t10, attrs: { shape: g.outShape } }); + return b.push(x), b.forEach((R) => t10.disposeIntermediateTensorInfo(R)), E; } -var vR = { kernelName: go, backendName: "webgl", kernelFunc: PQ }; -function MQ(r) { +var XA = { kernelName: Co, backendName: "webgl", kernelFunc: Y9 }; +function Q9(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dimRoundingMode: l, activation: m, leakyreluAlpha: d } = o, f = [], h = c; - h == null && (h = [1, 1]), y.assert(S.eitherStridesOrDilationsAreOne(p, h), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`); - let g = S.computeConv2DInfo(n.shape, s.shape, p, h, u, l, true), x = O().getBool("WEBGL_PACK_DEPTHWISECONV") && g.strideWidth <= 2 && g.outChannels / g.inChannels === 1, b = m ? Ha(m, x) : null, C = [n, s], w = a != null, k = i != null, _ = m === "leakyrelu"; - if (w && C.push(a), k && C.push(i), _) { - let D = t10.makeTensorInfo([], "float32", y.createScalarValue(d, "float32")); - C.push(D), f.push(D); + h == null && (h = [1, 1]), y.assert(C.eitherStridesOrDilationsAreOne(p, h), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`); + let g = C.computeConv2DInfo(n.shape, s.shape, p, h, u, l, true), x = P().getBool("WEBGL_PACK_DEPTHWISECONV") && g.strideWidth <= 2 && g.outChannels / g.inChannels === 1, b = m ? hi(m, x) : null, w = [n, s], S = a != null, k = i != null, _ = m === "leakyrelu"; + if (S && w.push(a), k && w.push(i), _) { + let F = t10.makeTensorInfo([], "float32", y.createScalarValue(d, "float32")); + w.push(F), f.push(F); } let E; - x ? E = new bc(g, w, b, k, _) : E = new yc(g, w, b, k, _); - let A = [[g.padInfo.top, g.padInfo.left], [g.strideHeight, g.strideWidth], [g.dilationHeight, g.dilationWidth], [g.inHeight, g.inWidth]], R = t10.runWebGLProgram(E, C, "float32", A); - return f.forEach((D) => t10.disposeIntermediateTensorInfo(D)), R; + x ? E = new Uc(g, S, b, k, _) : E = new Wc(g, S, b, k, _); + let R = [[g.padInfo.top, g.padInfo.left], [g.strideHeight, g.strideWidth], [g.dilationHeight, g.dilationWidth], [g.inHeight, g.inWidth]], D = t10.runWebGLProgram(E, w, "float32", R); + return f.forEach((F) => t10.disposeIntermediateTensorInfo(F)), D; } -var kR = { kernelName: xo, backendName: "webgl", kernelFunc: MQ }; -var Wh = class { +var YA = { kernelName: wo, backendName: "webgl", kernelFunc: Q9 }; +var og = class { constructor(e, t10, o, n) { this.sliceDim = e, this.strides = t10, this.paramsShape = n, this.variableNames = ["x", "indices"], this.outputShape = o; - let s = $e(o.length), a = ` + let s = Re(o.length), a = ` int index;`; for (let i = 0; i < this.sliceDim; i++) a += ` @@ -21782,20 +22248,20 @@ var Wh = class { `; } }; -function LQ(r) { - let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = n.shape, a = s[s.length - 1], i = y.sizeFromShape(o.shape), [p, u, c, l] = S.prepareAndValidate(o, n), m = re({ inputs: { x: n }, backend: t10, attrs: { shape: [u, a] } }), d = re({ inputs: { x: o }, backend: t10, attrs: { shape: [y.sizeFromShape(o.shape) / c, c] } }); +function Z9(r) { + let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = n.shape, a = s[s.length - 1], i = y.sizeFromShape(o.shape), [p, u, c, l] = C.prepareAndValidate(o, n), m = te({ inputs: { x: n }, backend: t10, attrs: { shape: [u, a] } }), d = te({ inputs: { x: o }, backend: t10, attrs: { shape: [y.sizeFromShape(o.shape) / c, c] } }); if (t10.shouldExecuteOnCPU([o, n]) || o.dtype === "string") { - let x = t10.readSync(n.dataId), b = t10.bufferSync(o), C = X$(x, b, o.dtype, u, a, c, l, o.shape, i); - return t10.makeTensorInfo(p, o.dtype, C.values); + let x = t10.readSync(n.dataId), b = t10.bufferSync(o), w = bR(x, b, o.dtype, u, a, c, l, o.shape, i); + return t10.makeTensorInfo(p, o.dtype, w.values); } - let f = new Wh(a, l, [u, c], o.shape), h = t10.runWebGLProgram(f, [d, m], d.dtype), g = re({ inputs: { x: h }, backend: t10, attrs: { shape: p } }); + let f = new og(a, l, [u, c], o.shape), h = t10.runWebGLProgram(f, [d, m], d.dtype), g = te({ inputs: { x: h }, backend: t10, attrs: { shape: p } }); return t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(h), g; } -var NR = { kernelName: an, backendName: "webgl", kernelFunc: LQ }; -var Uh = class { +var QA = { kernelName: Sn, backendName: "webgl", kernelFunc: Z9 }; +var ng = class { constructor(e, t10) { this.variableNames = ["A", "indices"], this.outputShape = t10, this.rank = t10.length; - let o = $e(this.rank), n = BQ(e, 2); + let o = Re(this.rank), n = J9(e, 2); this.userCode = ` void main() { ${o} resRC = getOutputCoords(); @@ -21806,81 +22272,81 @@ var Uh = class { `; } }; -function BQ(r, e) { +function J9(r, e) { let t10 = ["resRC.x", "resRC.y", "resRC.z", "resRC.w"], o = []; for (let n = 0; n < r.length; n++) n === 2 ? o.push("index") : o.push(`${t10[n]}`); return o.join(); } -function Gw(r) { +function uv(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, indices: s } = e, { axis: a, batchDims: i } = o, p = y.parseAxisParam(a, n.shape)[0]; - if (O().get("DEBUG")) { - let b = t10.readSync(s.dataId), C = n.shape[p]; - for (let w = 0; w < b.length; ++w) { - let k = b[w]; - y.assert(k <= C - 1 && k >= 0, () => `GatherV2: the index value ${k} is not in [0, ${C - 1}]`); + if (P().get("DEBUG")) { + let b = t10.readSync(s.dataId), w = n.shape[p]; + for (let S = 0; S < b.length; ++S) { + let k = b[S]; + y.assert(k <= w - 1 && k >= 0, () => `GatherV2: the index value ${k} is not in [0, ${w - 1}]`); } } - let u = S.segment_util.collectGatherOpShapeInfo(n, s, p, i), c = y.sizeFromShape(s.shape), l = [], m = re({ inputs: { x: n }, backend: t10, attrs: { shape: [u.batchSize, u.outerSize, u.dimSize, u.sliceSize] } }), d = re({ inputs: { x: s }, backend: t10, attrs: { shape: [u.batchSize, c / u.batchSize] } }); + let u = C.segment_util.collectGatherOpShapeInfo(n, s, p, i), c = y.sizeFromShape(s.shape), l = [], m = te({ inputs: { x: n }, backend: t10, attrs: { shape: [u.batchSize, u.outerSize, u.dimSize, u.sliceSize] } }), d = te({ inputs: { x: s }, backend: t10, attrs: { shape: [u.batchSize, c / u.batchSize] } }); l.push(m), l.push(d); let f = [u.batchSize, u.outerSize, c / u.batchSize, u.sliceSize]; if (t10.shouldExecuteOnCPU([n, s]) || n.dtype === "string") { - let b = t10.bufferSync(d), C = t10.bufferSync(m), w = Y$(C, b, f); - return l.forEach((k) => t10.disposeIntermediateTensorInfo(k)), t10.makeTensorInfo(u.outputShape, w.dtype, w.values); + let b = t10.bufferSync(d), w = t10.bufferSync(m), S = CR(w, b, f); + return l.forEach((k) => t10.disposeIntermediateTensorInfo(k)), t10.makeTensorInfo(u.outputShape, S.dtype, S.values); } - let h = new Uh(m.shape, f), g = t10.runWebGLProgram(h, [m, d], m.dtype); + let h = new ng(m.shape, f), g = t10.runWebGLProgram(h, [m, d], m.dtype); l.push(g); - let x = re({ inputs: { x: g }, backend: t10, attrs: { shape: u.outputShape } }); + let x = te({ inputs: { x: g }, backend: t10, attrs: { shape: u.outputShape } }); return l.forEach((b) => t10.disposeIntermediateTensorInfo(b)), x; } -var TR = { kernelName: Is, backendName: "webgl", kernelFunc: Gw }; -var VQ = "return float(a > b);"; -var zQ = ` +var ZA = { kernelName: ta, backendName: "webgl", kernelFunc: uv }; +var eJ = "return float(a > b);"; +var tJ = ` return vec4(greaterThan(a, b)); `; -var WQ = tt({ opSnippet: VQ, packedOpSnippet: zQ, cpuKernelImpl: Q$, dtype: "bool" }); -var _R = { kernelName: un, backendName: "webgl", kernelFunc: WQ }; -var UQ = "return float(a >= b);"; -var GQ = ` +var rJ = nt({ opSnippet: eJ, packedOpSnippet: tJ, cpuKernelImpl: wR, dtype: "bool" }); +var JA = { kernelName: In, backendName: "webgl", kernelFunc: rJ }; +var oJ = "return float(a >= b);"; +var nJ = ` return vec4(greaterThanEqual(a, b)); `; -var HQ = tt({ opSnippet: UQ, packedOpSnippet: GQ, dtype: "bool", cpuKernelImpl: Z$ }); -var $R = { kernelName: pn, backendName: "webgl", kernelFunc: HQ }; -function KQ(r) { +var sJ = nt({ opSnippet: oJ, packedOpSnippet: nJ, dtype: "bool", cpuKernelImpl: SR }); +var eF = { kernelName: vn, backendName: "webgl", kernelFunc: sJ }; +function aJ(r) { let { inputs: e, backend: t10 } = r, { input: o } = e; - return Mh(o, true, t10); + return Zh(o, true, t10); } -var ER = { kernelName: pi, backendName: "webgl", kernelFunc: KQ }; -var qQ = "return float(!isnan(x) && !isinf(x));"; -var jQ = he({ opSnippet: qQ, dtype: "bool" }); -var AR = { kernelName: ha, backendName: "webgl", kernelFunc: jQ }; -var XQ = "return float(isinf(x));"; -var YQ = he({ opSnippet: XQ, dtype: "bool" }); -var RR = { kernelName: ga, backendName: "webgl", kernelFunc: YQ }; -var QQ = "return float(isnan(x));"; -var ZQ = he({ opSnippet: QQ, dtype: "bool" }); -var DR = { kernelName: cn, backendName: "webgl", kernelFunc: ZQ }; -var JQ = "return float(a < b);"; -var e7 = ` +var tF = { kernelName: Oi, backendName: "webgl", kernelFunc: aJ }; +var iJ = "return float(!isnan(x) && !isinf(x));"; +var uJ = ge({ opSnippet: iJ, dtype: "bool" }); +var rF = { kernelName: kn, backendName: "webgl", kernelFunc: uJ }; +var pJ = "return float(isinf(x));"; +var cJ = ge({ opSnippet: pJ, dtype: "bool" }); +var oF = { kernelName: Nn, backendName: "webgl", kernelFunc: cJ }; +var lJ = "return float(isnan(x));"; +var mJ = ge({ opSnippet: lJ, dtype: "bool" }); +var nF = { kernelName: Tn, backendName: "webgl", kernelFunc: mJ }; +var dJ = "return float(a < b);"; +var fJ = ` return vec4(lessThan(a, b)); `; -var t7 = tt({ opSnippet: JQ, packedOpSnippet: e7, cpuKernelImpl: J$, dtype: "bool" }); -var FR = { kernelName: mn, backendName: "webgl", kernelFunc: t7 }; -var r7 = "return float(a <= b);"; -var o7 = ` +var hJ = nt({ opSnippet: dJ, packedOpSnippet: fJ, cpuKernelImpl: IR, dtype: "bool" }); +var sF = { kernelName: $n, backendName: "webgl", kernelFunc: hJ }; +var gJ = "return float(a <= b);"; +var xJ = ` return vec4(lessThanEqual(a, b)); `; -var n7 = tt({ opSnippet: r7, packedOpSnippet: o7, cpuKernelImpl: eE, dtype: "bool" }); -var OR = { kernelName: dn, backendName: "webgl", kernelFunc: n7 }; -function s7(r) { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = tE(o, n, s); +var yJ = nt({ opSnippet: gJ, packedOpSnippet: xJ, cpuKernelImpl: vR, dtype: "bool" }); +var aF = { kernelName: En, backendName: "webgl", kernelFunc: yJ }; +function bJ(r) { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = kR(o, n, s); return e.makeTensorInfo([a.length], "float32", a); } -var PR = { kernelName: li, backendName: "webgl", kernelFunc: s7 }; -var a7 = $o + ` +var iF = { kernelName: Rn, backendName: "webgl", kernelFunc: bJ }; +var CJ = Do + ` return x < 0.0 ? 0./0. : log(x); `; -var i7 = ` +var wJ = ` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -21889,34 +22355,34 @@ var i7 = ` result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; `; -var u7 = he({ opSnippet: a7, packedOpSnippet: i7, cpuKernelImpl: rE }); -var MR = { kernelName: fn, backendName: "webgl", kernelFunc: u7 }; -var p7 = $o + ` +var SJ = ge({ opSnippet: CJ, packedOpSnippet: wJ, cpuKernelImpl: NR }); +var uF = { kernelName: Dn, backendName: "webgl", kernelFunc: SJ }; +var IJ = Do + ` return log(1.0 + x); `; -var c7 = he({ opSnippet: p7 }); -var LR = { kernelName: xa, backendName: "webgl", kernelFunc: c7 }; -var l7 = "return float(a >= 1.0 && b >= 1.0);"; -var m7 = ` +var vJ = ge({ opSnippet: IJ }); +var pF = { kernelName: An, backendName: "webgl", kernelFunc: vJ }; +var kJ = "return float(a >= 1.0 && b >= 1.0);"; +var NJ = ` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); `; -var d7 = tt({ opSnippet: l7, packedOpSnippet: m7, dtype: "bool" }); -var BR = { kernelName: hn, backendName: "webgl", kernelFunc: d7 }; -var f7 = "return float(!(x >= 1.0));"; -var h7 = he({ opSnippet: f7 }); -var VR = { kernelName: gn, backendName: "webgl", kernelFunc: h7 }; -var g7 = "return float(a >= 1.0 || b >= 1.0);"; -var x7 = ` +var TJ = nt({ opSnippet: kJ, packedOpSnippet: NJ, dtype: "bool" }); +var cF = { kernelName: Fn, backendName: "webgl", kernelFunc: TJ }; +var _J = "return float(!(x >= 1.0));"; +var $J = ge({ opSnippet: _J }); +var lF = { kernelName: Pn, backendName: "webgl", kernelFunc: $J }; +var EJ = "return float(a >= 1.0 || b >= 1.0);"; +var RJ = ` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); `; -var y7 = tt({ opSnippet: g7, packedOpSnippet: x7, dtype: "bool" }); -var zR = { kernelName: xn, backendName: "webgl", kernelFunc: y7 }; -var Gh = class { +var DJ = nt({ opSnippet: EJ, packedOpSnippet: RJ, dtype: "bool" }); +var mF = { kernelName: On, backendName: "webgl", kernelFunc: DJ }; +var sg = class { constructor(e, t10, o, n, s) { this.variableNames = ["x"], this.outputShape = []; let a = t10, i = e[3] - 1; @@ -21944,7 +22410,7 @@ var Gh = class { `; } }; -var Hh = class { +var ag = class { constructor(e, t10, o, n, s) { this.variableNames = ["x"], this.outputShape = [], this.packedInputs = true, this.packedOutput = true; let a = t10, i = e[3] - 1; @@ -22015,12 +22481,12 @@ var Hh = class { `; } }; -var b7 = (r) => { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { depthRadius: s, bias: a, alpha: i, beta: p } = o, u = O().getBool("WEBGL_PACK_NORMALIZATION") ? new Hh(n.shape, s, a, i, p) : new Gh(n.shape, s, a, i, p); +var AJ = (r) => { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { depthRadius: s, bias: a, alpha: i, beta: p } = o, u = P().getBool("WEBGL_PACK_NORMALIZATION") ? new ag(n.shape, s, a, i, p) : new sg(n.shape, s, a, i, p); return t10.runWebGLProgram(u, [n], n.dtype); }; -var WR = { kernelName: mi, backendName: "webgl", kernelFunc: b7 }; -var Kh = class { +var dF = { kernelName: Mn, backendName: "webgl", kernelFunc: AJ }; +var ig = class { constructor(e, t10, o, n, s) { this.variableNames = ["inputImage", "outputImage", "dy"], this.outputShape = [], this.outputShape = e, this.depth = e[3], this.depthRadius = t10, this.bias = o, this.alpha = n, this.beta = s, this.userCode = ` void main() { @@ -22080,75 +22546,75 @@ var Kh = class { `; } }; -var C7 = (r) => { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, y: s, dy: a } = e, { depthRadius: i, bias: p, alpha: u, beta: c } = o, l = new Kh(n.shape, i, p, u, c); +var FJ = (r) => { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, y: s, dy: a } = e, { depthRadius: i, bias: p, alpha: u, beta: c } = o, l = new ig(n.shape, i, p, u, c); return t10.runWebGLProgram(l, [n, s, a], n.dtype); }; -var UR = { kernelName: Tm, backendName: "webgl", kernelFunc: C7 }; -function GR(r, e, t10, o) { - let n = y.sizeFromShape(e), a = y.sizeFromShape(r.shape) / n, i = re({ inputs: { x: r }, attrs: { shape: [a, n] }, backend: o }), p = Ur(i, r.dtype, "max", o), u = re({ inputs: { x: p }, attrs: { shape: t10 }, backend: o }); +var fF = { kernelName: Ua, backendName: "webgl", kernelFunc: FJ }; +function hF(r, e, t10, o) { + let n = y.sizeFromShape(e), a = y.sizeFromShape(r.shape) / n, i = te({ inputs: { x: r }, attrs: { shape: [a, n] }, backend: o }), p = qr(i, r.dtype, "max", o), u = te({ inputs: { x: p }, attrs: { shape: t10 }, backend: o }); return o.disposeIntermediateTensorInfo(i), o.disposeIntermediateTensorInfo(p), u; } -function Hw(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reductionIndices: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = S.getAxesPermutation(u, i), l = c != null, m = t10.shouldExecuteOnCPU([n]), d = n; +function pv(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reductionIndices: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = C.getAxesPermutation(u, i), l = c != null, m = t10.shouldExecuteOnCPU([n]), d = n; if (l) { if (m) { - let C = t10.texData.get(d.dataId).values, w = new Array(i); - for (let E = 0; E < w.length; E++) - w[E] = n.shape[c[E]]; - let k = Bu(C, n.shape, n.dtype, c, w); - d = t10.makeTensorInfo(w, n.dtype); + let w = t10.texData.get(d.dataId).values, S = new Array(i); + for (let E = 0; E < S.length; E++) + S[E] = n.shape[c[E]]; + let k = yp(w, n.shape, n.dtype, c, S); + d = t10.makeTensorInfo(S, n.dtype); let _ = t10.texData.get(d.dataId); _.values = k; } else - d = zi(n, c, t10); - u = S.getInnerMostAxes(u.length, i); + d = gu(n, c, t10); + u = C.getInnerMostAxes(u.length, i); } - S.assertAxesAreInnerMostDims("max", u, i); - let [f, h] = S.computeOutAndReduceShapes(d.shape, u), g = f; - a && (g = S.expandShapeToKeepDim(f, p)); + C.assertAxesAreInnerMostDims("max", u, i); + let [f, h] = C.computeOutAndReduceShapes(d.shape, u), g = f; + a && (g = C.expandShapeToKeepDim(f, p)); let x; if (m) { - let C = t10.texData.get(d.dataId).values, w = oE(C, y.sizeFromShape(h), g, n.dtype); + let w = t10.texData.get(d.dataId).values, S = TR(w, y.sizeFromShape(h), g, n.dtype); x = t10.makeTensorInfo(g, n.dtype); let k = t10.texData.get(x.dataId); - k.values = w; + k.values = S; } else - x = GR(d, h, g, t10); + x = hF(d, h, g, t10); return l && t10.disposeIntermediateTensorInfo(d), x; } -var HR = { kernelName: yn, backendName: "webgl", kernelFunc: Hw }; -var S7 = dc + ` +var gF = { kernelName: Ln, backendName: "webgl", kernelFunc: pv }; +var PJ = Mc + ` return max(a, b); `; -var w7 = ` +var OJ = ` vec4 result = vec4(max(a, b)); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - ` + Js + ` + ` + Kr + ` return result; `; -var I7 = tt({ opSnippet: S7, packedOpSnippet: w7, cpuKernelImpl: nE }); -var KR = { kernelName: bn, backendName: "webgl", kernelFunc: I7 }; -function v7(r) { +var MJ = nt({ opSnippet: PJ, packedOpSnippet: OJ, cpuKernelImpl: _R }); +var xF = { kernelName: Bn, backendName: "webgl", kernelFunc: MJ }; +function LJ(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e; - us(n, "maxPool"); + Ps(n, "maxPool"); let { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1; - y.assert(S.eitherStridesOrDilationsAreOne(a, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); - let c = S.computePool2DInfo(n.shape, s, a, u, i, p); + y.assert(C.eitherStridesOrDilationsAreOne(a, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`); + let c = C.computePool2DInfo(n.shape, s, a, u, i, p); if (c.filterWidth === 1 && c.filterHeight === 1 && y.arraysEqual(c.inShape, c.outShape)) - return At({ inputs: { x: n }, backend: t10 }); - let l = new cs(c, "max", false); + return Dt({ inputs: { x: n }, backend: t10 }); + let l = new Ms(c, "max", false); return t10.runWebGLProgram(l, [n], n.dtype); } -var qR = { kernelName: Cn, backendName: "webgl", kernelFunc: v7 }; -function k7(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dataFormat: p, dimRoundingMode: u } = o, c = [1, 1, 1], l = S.computePool3DInfo(n.shape, s, a, c, i, u, p), m = new Wi(l, "max", false); +var yF = { kernelName: zn, backendName: "webgl", kernelFunc: LJ }; +function BJ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dataFormat: p, dimRoundingMode: u } = o, c = [1, 1, 1], l = C.computePool3DInfo(n.shape, s, a, c, i, u, p), m = new xu(l, "max", false); return t10.runWebGLProgram(m, [n], n.dtype); } -var jR = { kernelName: Cp, backendName: "webgl", kernelFunc: k7 }; -var qh = class { +var bF = { kernelName: ra, backendName: "webgl", kernelFunc: BJ }; +var ug = class { constructor(e) { this.variableNames = ["dy", "maxPos"], this.outputShape = e.inShape; let t10 = e.strideHeight, o = e.strideWidth, n = e.dilationHeight, s = e.effectiveFilterHeight, a = e.effectiveFilterWidth, i = s - 1 - e.padInfo.top, p = a - 1 - e.padInfo.left, u = s * a - 1; @@ -22201,7 +22667,7 @@ var qh = class { `; } }; -var jh = class { +var pg = class { constructor(e) { this.variableNames = ["dy", "maxPos"], this.outputShape = e.inShape; let t10 = e.strideDepth, o = e.strideHeight, n = e.strideWidth, s = e.dilationDepth, a = e.dilationHeight, i = e.dilationWidth, p = e.effectiveFilterDepth, u = e.effectiveFilterHeight, c = e.effectiveFilterWidth, l = p - 1 - e.padInfo.front, m = u - 1 - e.padInfo.top, d = c - 1 - e.padInfo.left, f = p * u * c - 1; @@ -22272,88 +22738,88 @@ var jh = class { `; } }; -function N7(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = [1, 1, 1], m = S.computePool3DInfo(a.shape, i, p, l, u, c), d = new Wi(m, "max", true), f = t10.runWebGLProgram(d, [a], a.dtype), h = new jh(m), g = t10.runWebGLProgram(h, [n, f], a.dtype); +function zJ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = [1, 1, 1], m = C.computePool3DInfo(a.shape, i, p, l, u, c), d = new xu(m, "max", true), f = t10.runWebGLProgram(d, [a], a.dtype), h = new pg(m), g = t10.runWebGLProgram(h, [n, f], a.dtype); return t10.disposeIntermediateTensorInfo(f), g; } -var XR = { kernelName: $m, backendName: "webgl", kernelFunc: N7 }; -function T7(r) { +var CF = { kernelName: Li, backendName: "webgl", kernelFunc: zJ }; +function VJ(r) { let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s, output: a } = e, i = s; - us([s, a], "maxPoolGrad"); - let { filterSize: p, strides: u, pad: c, dimRoundingMode: l } = o, m = S.computePool2DInfo(i.shape, p, u, 1, c, l), d = true, f = new cs(m, "max", d), h = t10.runWebGLProgram(f, [i], i.dtype), g = new qh(m), x = t10.runWebGLProgram(g, [n, h], i.dtype); + Ps([s, a], "maxPoolGrad"); + let { filterSize: p, strides: u, pad: c, dimRoundingMode: l } = o, m = C.computePool2DInfo(i.shape, p, u, 1, c, l), d = true, f = new Ms(m, "max", d), h = t10.runWebGLProgram(f, [i], i.dtype), g = new ug(m), x = t10.runWebGLProgram(g, [n, h], i.dtype); return t10.disposeIntermediateTensorInfo(h), x; } -var YR = { kernelName: _m, backendName: "webgl", kernelFunc: T7 }; -function QR(r, e, t10, o) { - let n = new cs(t10, "max", false), s = o.runWebGLProgram(n, [r], "float32"); - n = new cs(t10, "max", true, true, e); +var wF = { kernelName: Hp, backendName: "webgl", kernelFunc: VJ }; +function SF(r, e, t10, o) { + let n = new Ms(t10, "max", false), s = o.runWebGLProgram(n, [r], "float32"); + n = new Ms(t10, "max", true, true, e); let a = o.runWebGLProgram(n, [r], "float32"); return [s, a]; } -var ZR = { kernelName: Sp, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { +var IF = { kernelName: Bi, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { let { x: o } = r, { filterSize: n, strides: s, pad: a, includeBatchInIndex: i } = e, p = t10; y.assert(o.shape.length === 4, () => `Error in maxPool: input must be rank 4 but got rank ${o.shape.length}.`); let u = [1, 1]; - y.assert(S.eitherStridesOrDilationsAreOne(s, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`); - let c = S.computePool2DInfo(o.shape, n, s, u, a), [l, m] = QR(o, i, c, p); + y.assert(C.eitherStridesOrDilationsAreOne(s, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`); + let c = C.computePool2DInfo(o.shape, n, s, u, a), [l, m] = SF(o, i, c, p); return [l, m]; } }; -function JR(r, e, t10, o) { - let n = y.sizeFromShape(e), a = y.sizeFromShape(r.shape) / n, i = re({ inputs: { x: r }, attrs: { shape: [a, n] }, backend: o }), p = Ur(i, "float32", "mean", o), u = re({ inputs: { x: p }, attrs: { shape: t10 }, backend: o }); +function vF(r, e, t10, o) { + let n = y.sizeFromShape(e), a = y.sizeFromShape(r.shape) / n, i = te({ inputs: { x: r }, attrs: { shape: [a, n] }, backend: o }), p = qr(i, "float32", "mean", o), u = te({ inputs: { x: p }, attrs: { shape: t10 }, backend: o }); return o.disposeIntermediateTensorInfo(i), o.disposeIntermediateTensorInfo(p), u; } -var eD = { kernelName: Sn, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { - let { x: o } = r, { keepDims: n, axis: s } = e, a = t10, i = o.shape.length, p = y.parseAxisParam(s, o.shape), u = p, c = S.getAxesPermutation(u, i), l = c != null, m = a.shouldExecuteOnCPU([o]), d = [], f = o; +var kF = { kernelName: Vn, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { + let { x: o } = r, { keepDims: n, axis: s } = e, a = t10, i = o.shape.length, p = y.parseAxisParam(s, o.shape), u = p, c = C.getAxesPermutation(u, i), l = c != null, m = a.shouldExecuteOnCPU([o]), d = [], f = o; if (l) { if (m) { - let w = a.texData.get(f.dataId).values, k = new Array(i); - for (let A = 0; A < k.length; A++) - k[A] = o.shape[c[A]]; - let _ = Bu(w, o.shape, o.dtype, c, k); + let S = a.texData.get(f.dataId).values, k = new Array(i); + for (let R = 0; R < k.length; R++) + k[R] = o.shape[c[R]]; + let _ = yp(S, o.shape, o.dtype, c, k); f = a.makeTensorInfo(k, o.dtype); let E = a.texData.get(f.dataId); E.values = _; } else - f = zi(o, c, a); - d.push(f), u = S.getInnerMostAxes(u.length, i); + f = gu(o, c, a); + d.push(f), u = C.getInnerMostAxes(u.length, i); } - S.assertAxesAreInnerMostDims("sum", u, i); - let [h, g] = S.computeOutAndReduceShapes(f.shape, u), x = h; - n && (x = S.expandShapeToKeepDim(h, p)); - let b = JR(f, g, x, a); - for (let C of d) - a.disposeIntermediateTensorInfo(C); + C.assertAxesAreInnerMostDims("sum", u, i); + let [h, g] = C.computeOutAndReduceShapes(f.shape, u), x = h; + n && (x = C.expandShapeToKeepDim(h, p)); + let b = vF(f, g, x, a); + for (let w of d) + a.disposeIntermediateTensorInfo(w); return b; } }; -function _7(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = S.getAxesPermutation(u, i), l = n; - c != null && (l = yt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = S.getInnerMostAxes(u.length, n.shape.length)), S.assertAxesAreInnerMostDims("min", u, i); - let [m, d] = S.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = re({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = Ur(h, h.dtype, "min", t10), x; +function WJ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = y.parseAxisParam(s, n.shape), u = p, c = C.getAxesPermutation(u, i), l = n; + c != null && (l = bt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), u = C.getInnerMostAxes(u.length, n.shape.length)), C.assertAxesAreInnerMostDims("min", u, i); + let [m, d] = C.computeOutAndReduceShapes(l.shape, u), f = y.sizeFromShape(d), h = te({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, f] } }), g = qr(h, h.dtype, "min", t10), x; if (a) { - let b = S.expandShapeToKeepDim(m, p); - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); + let b = C.expandShapeToKeepDim(m, p); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: b } }); } else - x = re({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); + x = te({ inputs: { x: g }, backend: t10, attrs: { shape: m } }); return t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(g), c != null && t10.disposeIntermediateTensorInfo(l), x; } -var tD = { kernelName: wn, backendName: "webgl", kernelFunc: _7 }; -var $7 = dc + ` +var NF = { kernelName: Wn, backendName: "webgl", kernelFunc: WJ }; +var UJ = Mc + ` return min(a, b); `; -var E7 = ` +var GJ = ` vec4 result = vec4(min(a, b)); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - ` + Js + ` + ` + Kr + ` return result; `; -var A7 = tt({ opSnippet: $7, packedOpSnippet: E7, cpuKernelImpl: sE }); -var rD = { kernelName: In, backendName: "webgl", kernelFunc: A7 }; -var Xh = class { +var HJ = nt({ opSnippet: UJ, packedOpSnippet: GJ, cpuKernelImpl: $R }); +var TF = { kernelName: Un, backendName: "webgl", kernelFunc: HJ }; +var cg = class { constructor(e, t10, o) { this.variableNames = ["x"], this.outputShape = t10.map((c, l) => c[0] + e[l] + c[1]); - let n = e.length, s = $e(n), a = t10.map((c) => c[0]).join(","), i = t10.map((c, l) => c[0] + e[l]).join(","), p = ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, n), u = o === "reflect" ? 0 : 1; + let n = e.length, s = Re(n), a = t10.map((c) => c[0]).join(","), i = t10.map((c, l) => c[0] + e[l]).join(","), p = ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, n), u = o === "reflect" ? 0 : 1; if (n === 1) { this.userCode = ` int start = ${a}; @@ -22390,10 +22856,10 @@ var Xh = class { `; } }; -var Yh = class { +var lg = class { constructor(e, t10, o) { this.variableNames = ["x"], this.packedInputs = true, this.packedOutput = true, this.outputShape = t10.map((f, h) => f[0] + e[h] + f[1]); - let n = e.length, s = $e(n), a = t10.map((f) => f[0]).join(","), i = t10.map((f, h) => f[0] + e[h]).join(","), p = Et("rc", n), u = Et("source", n), c = `${p[n - 1]} < ${this.outputShape[n - 1]}`, l = n === 1 ? "source" : `vec2(${u.slice(-2).join()})`, m = o === "reflect" ? 0 : 1, d = ""; + let n = e.length, s = Re(n), a = t10.map((f) => f[0]).join(","), i = t10.map((f, h) => f[0] + e[h]).join(","), p = Rt("rc", n), u = Rt("source", n), c = `${p[n - 1]} < ${this.outputShape[n - 1]}`, l = n === 1 ? "source" : `vec2(${u.slice(-2).join()})`, m = o === "reflect" ? 0 : 1, d = ""; if (n === 1) { let f = ` ${s} source = rc; @@ -22460,22 +22926,22 @@ var Yh = class { `; } }; -var R7 = ({ inputs: r, backend: e, attrs: t10 }) => { - let { x: o } = r, { paddings: n, mode: s } = t10, a = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new Yh(o.shape, n, s) : new Xh(o.shape, n, s); +var KJ = ({ inputs: r, backend: e, attrs: t10 }) => { + let { x: o } = r, { paddings: n, mode: s } = t10, a = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new lg(o.shape, n, s) : new cg(o.shape, n, s); return e.runWebGLProgram(a, [o], o.dtype); }; -var oD = { kernelName: vn, backendName: "webgl", kernelFunc: R7 }; -var D7 = `if (b == 0.0) return NAN; +var _F = { kernelName: Gn, backendName: "webgl", kernelFunc: KJ }; +var qJ = `if (b == 0.0) return NAN; return mod(a, b);`; -var F7 = ` +var jJ = ` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - ` + Js + ` + ` + Kr + ` return result; `; -var O7 = tt({ opSnippet: D7, packedOpSnippet: F7 }); -var nD = { kernelName: ya, backendName: "webgl", kernelFunc: O7 }; -var Qh = class { +var XJ = nt({ opSnippet: qJ, packedOpSnippet: jJ }); +var $F = { kernelName: Ga, backendName: "webgl", kernelFunc: XJ }; +var mg = class { constructor(e, t10, o) { this.variableNames = ["probs"], this.customUniforms = [{ name: "seed", type: "float" }], this.outputShape = [e, o], this.userCode = ` void main() { @@ -22500,12 +22966,12 @@ var Qh = class { `; } }; -var P7 = ` +var YJ = ` if (a == b) { return 1.0; }; return a / b;`; -var M7 = ` +var QJ = ` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -22524,25 +22990,25 @@ var M7 = ` return result; `; -var Kw = tt({ opSnippet: P7, packedOpSnippet: M7, checkOutOfBounds: true }); -var sD = { kernelName: Zo, backendName: "webgl", kernelFunc: Kw }; -var aD = "return a - b;"; -var qw = tt({ opSnippet: aD, packedOpSnippet: aD, supportsComplex: true, cpuKernelImpl: kE }); -var iD = { kernelName: Yn, backendName: "webgl", kernelFunc: qw }; -function jw(r) { - let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { dim: s } = o, a = y.parseAxisParam([s], n.shape), i = Hw({ inputs: { x: n }, backend: t10, attrs: { reductionIndices: a, keepDims: false } }), p = S.expandShapeToKeepDim(i.shape, a), u = re({ inputs: { x: i }, backend: t10, attrs: { shape: p } }), c = qw({ inputs: { a: n, b: u }, backend: t10 }), l = Ww({ inputs: { x: c }, backend: t10 }), m = Vu({ inputs: { x: l }, backend: t10, attrs: { axis: a, keepDims: false } }), d = re({ inputs: { x: m }, backend: t10, attrs: { shape: p } }), f = Kw({ inputs: { a: l, b: d }, backend: t10 }); +var cv = nt({ opSnippet: YJ, packedOpSnippet: QJ, checkOutOfBounds: true }); +var EF = { kernelName: dn, backendName: "webgl", kernelFunc: cv }; +var RF = "return a - b;"; +var lv = nt({ opSnippet: RF, packedOpSnippet: RF, supportsComplex: true, cpuKernelImpl: YR }); +var DF = { kernelName: Is, backendName: "webgl", kernelFunc: lv }; +function mv(r) { + let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { dim: s } = o, a = y.parseAxisParam([s], n.shape), i = pv({ inputs: { x: n }, backend: t10, attrs: { reductionIndices: a, keepDims: false } }), p = C.expandShapeToKeepDim(i.shape, a), u = te({ inputs: { x: i }, backend: t10, attrs: { shape: p } }), c = lv({ inputs: { a: n, b: u }, backend: t10 }), l = av({ inputs: { x: c }, backend: t10 }), m = bp({ inputs: { x: l }, backend: t10, attrs: { axis: a, keepDims: false } }), d = te({ inputs: { x: m }, backend: t10, attrs: { shape: p } }), f = cv({ inputs: { a: l, b: d }, backend: t10 }); return t10.disposeIntermediateTensorInfo(i), t10.disposeIntermediateTensorInfo(u), t10.disposeIntermediateTensorInfo(c), t10.disposeIntermediateTensorInfo(l), t10.disposeIntermediateTensorInfo(m), t10.disposeIntermediateTensorInfo(d), f; } -var uD = { kernelName: qn, backendName: "webgl", kernelFunc: jw }; -function L7(r) { - let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { numSamples: s, seed: a, normalized: i } = o, p = i ? n : jw({ inputs: { logits: n }, backend: t10, attrs: { dim: n.shape.length - 1 } }), u = p.shape[0], c = p.shape[1], l = new Qh(u, c, s), m = [[a]], d = t10.runWebGLProgram(l, [p], "int32", m); +var AF = { kernelName: bs, backendName: "webgl", kernelFunc: mv }; +function ZJ(r) { + let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { numSamples: s, seed: a, normalized: i } = o, p = i ? n : mv({ inputs: { logits: n }, backend: t10, attrs: { dim: n.shape.length - 1 } }), u = p.shape[0], c = p.shape[1], l = new mg(u, c, s), m = [[a]], d = t10.runWebGLProgram(l, [p], "int32", m); return i || t10.disposeIntermediateTensorInfo(p), d; } -var pD = { kernelName: wp, backendName: "webgl", kernelFunc: L7 }; -var B7 = zt + ` +var FF = { kernelName: Hn, backendName: "webgl", kernelFunc: ZJ }; +var JJ = Ut + ` return -x; `; -var V7 = ` +var eee = ` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -22553,38 +23019,38 @@ var V7 = ` return result; `; -function z7(r) { +function tee(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (t10.shouldExecuteOnCPU([o])) { - let s = t10.texData.get(o.dataId), [a, i] = iE(s.values, o.shape, o.dtype); + let s = t10.texData.get(o.dataId), [a, i] = RR(s.values, o.shape, o.dtype); return t10.makeTensorInfo(i, o.dtype, a); } let n; - return O().getBool("WEBGL_PACK_UNARY_OPERATIONS") ? n = new Er(o.shape, V7) : n = new Jt(o.shape, B7), t10.runWebGLProgram(n, [o], o.dtype); + return P().getBool("WEBGL_PACK_UNARY_OPERATIONS") ? n = new Ar(o.shape, eee) : n = new tr(o.shape, JJ), t10.runWebGLProgram(n, [o], o.dtype); } -var cD = { kernelName: vs, backendName: "webgl", kernelFunc: z7 }; -var W7 = Vt.nonMaxSuppressionV3Impl; -function U7(r) { - S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); - let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), { selectedIndices: l } = W7(u, c, a, i, p); +var PF = { kernelName: oa, backendName: "webgl", kernelFunc: tee }; +var ree = Wt.nonMaxSuppressionV3Impl; +function oee(r) { + C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); + let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), { selectedIndices: l } = ree(u, c, a, i, p); return t10.makeTensorInfo([l.length], "int32", new Int32Array(l)); } -var lD = { kernelName: Tn, backendName: "webgl", kernelFunc: U7 }; -var G7 = Vt.nonMaxSuppressionV4Impl; -function H7(r) { - S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); - let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, padToMaxOutputSize: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), { selectedIndices: m, validOutputs: d } = G7(c, l, a, i, p, u); +var OF = { kernelName: jn, backendName: "webgl", kernelFunc: oee }; +var nee = Wt.nonMaxSuppressionV4Impl; +function see(r) { + C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); + let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, padToMaxOutputSize: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), { selectedIndices: m, validOutputs: d } = nee(c, l, a, i, p, u); return [t10.makeTensorInfo([m.length], "int32", new Int32Array(m)), t10.makeTensorInfo([], "int32", new Int32Array([d]))]; } -var mD = { kernelName: ba, backendName: "webgl", kernelFunc: H7 }; -var K7 = Vt.nonMaxSuppressionV5Impl; -function q7(r) { - S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); - let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, softNmsSigma: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = K7(c, l, m, d, f, h); +var MF = { kernelName: Ha, backendName: "webgl", kernelFunc: see }; +var aee = Wt.nonMaxSuppressionV5Impl; +function iee(r) { + C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); + let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, softNmsSigma: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = aee(c, l, m, d, f, h); return [t10.makeTensorInfo([g.length], "int32", new Int32Array(g)), t10.makeTensorInfo([x.length], "float32", new Float32Array(x))]; } -var dD = { kernelName: _n, backendName: "webgl", kernelFunc: q7 }; -var Zh = class { +var LF = { kernelName: Xn, backendName: "webgl", kernelFunc: iee }; +var dg = class { constructor(e, t10, o, n) { this.variableNames = ["indices"], this.outputShape = [e, t10], this.userCode = ` void main() { @@ -22596,52 +23062,52 @@ var Zh = class { `; } }; -var j7 = (r) => { - let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o, u = y.sizeFromShape(n.shape), c = new Zh(u, a, i, p), l = re({ inputs: { x: n }, backend: t10, attrs: { shape: [u] } }), m = t10.runWebGLProgram(c, [l], s); +var uee = (r) => { + let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o, u = y.sizeFromShape(n.shape), c = new dg(u, a, i, p), l = te({ inputs: { x: n }, backend: t10, attrs: { shape: [u] } }), m = t10.runWebGLProgram(c, [l], s); t10.disposeIntermediateTensorInfo(l); - let d = [...n.shape, a], f = re({ inputs: { x: m }, backend: t10, attrs: { shape: d } }); + let d = [...n.shape, a], f = te({ inputs: { x: m }, backend: t10, attrs: { shape: d } }); return t10.disposeIntermediateTensorInfo(m), f; }; -var fD = { kernelName: $n, backendName: "webgl", kernelFunc: j7 }; -function Fl(r) { +var BF = { kernelName: Yn, backendName: "webgl", kernelFunc: uee }; +function rm(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "complex64") { - let n = Ka({ inputs: { input: o }, backend: t10 }), s = Fl({ inputs: { x: n }, backend: t10 }), a = Wu({ inputs: { input: o }, backend: t10 }), i = Fl({ inputs: { x: a }, backend: t10 }), p = Ar({ inputs: { real: s, imag: i }, backend: t10 }); + let n = gi({ inputs: { input: o }, backend: t10 }), s = rm({ inputs: { x: n }, backend: t10 }), a = wp({ inputs: { input: o }, backend: t10 }), i = rm({ inputs: { x: a }, backend: t10 }), p = Fr({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeIntermediateTensorInfo(n), t10.disposeIntermediateTensorInfo(s), t10.disposeIntermediateTensorInfo(a), t10.disposeIntermediateTensorInfo(i), p; } else - return qa({ attrs: { shape: o.shape, dtype: o.dtype, value: o.dtype === "string" ? "" : 0 }, backend: t10 }); + return xi({ attrs: { shape: o.shape, dtype: o.dtype, value: o.dtype === "string" ? "" : 0 }, backend: t10 }); } -var hD = { kernelName: Os, backendName: "webgl", kernelFunc: Fl }; -function gD(r) { +var zF = { kernelName: fa, backendName: "webgl", kernelFunc: rm }; +function VF(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "string") throw new Error("onesLike is not supported under string dtype"); if (o.dtype === "complex64") { - let n = Ka({ inputs: { input: o }, backend: t10 }), s = gD({ inputs: { x: n }, backend: t10 }), a = Wu({ inputs: { input: o }, backend: t10 }), i = Fl({ inputs: { x: a }, backend: t10 }), p = Ar({ inputs: { real: s, imag: i }, backend: t10 }); + let n = gi({ inputs: { input: o }, backend: t10 }), s = VF({ inputs: { x: n }, backend: t10 }), a = wp({ inputs: { input: o }, backend: t10 }), i = rm({ inputs: { x: a }, backend: t10 }), p = Fr({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeIntermediateTensorInfo(n), t10.disposeIntermediateTensorInfo(s), t10.disposeIntermediateTensorInfo(a), t10.disposeIntermediateTensorInfo(i), p; } else - return qa({ attrs: { shape: o.shape, dtype: o.dtype, value: 1 }, backend: t10 }); + return xi({ attrs: { shape: o.shape, dtype: o.dtype, value: 1 }, backend: t10 }); } -var xD = { kernelName: ks, backendName: "webgl", kernelFunc: gD }; -function X7(r) { +var WF = { kernelName: na, backendName: "webgl", kernelFunc: VF }; +function pee(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o; if (e.length === 1) - return Ph({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); + return Qh({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); let s = e[0].shape, a = e[0].dtype; e.forEach((c) => { y.assertShapesMatch(s, c.shape, "All tensors passed to stack must have matching shapes"), y.assert(a === c.dtype, () => "All tensors passed to stack must have matching dtypes"); }); let i = [], p = e.map((c) => { - let l = Ph({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); + let l = Qh({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); return i.push(l), l; - }), u = zw({ inputs: p, backend: t10, attrs: { axis: n } }); + }), u = sv({ inputs: p, backend: t10, attrs: { axis: n } }); return i.forEach((c) => t10.disposeIntermediateTensorInfo(c)), u; } -var yD = { kernelName: Ns, backendName: "webgl", kernelFunc: X7 }; -var Jh = class { +var UF = { kernelName: sa, backendName: "webgl", kernelFunc: pee }; +var fg = class { constructor(e, t10, o) { this.variableNames = ["x"], this.customUniforms = [{ name: "value", type: "float" }], this.outputShape = t10.map((u, c) => u[0] + e[c] + u[1]); - let n = e.length, s = $e(n), a = t10.map((u) => u[0]).join(","), i = t10.map((u, c) => u[0] + e[c]).join(","), p = ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, n); + let n = e.length, s = Re(n), a = t10.map((u) => u[0]).join(","), i = t10.map((u, c) => u[0] + e[c]).join(","), p = ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, n); if (n === 1) { this.userCode = ` int start = ${a}; @@ -22674,10 +23140,10 @@ var Jh = class { `; } }; -var eg = class { +var hg = class { constructor(e, t10, o) { this.variableNames = ["x"], this.packedInputs = true, this.packedOutput = true, this.customUniforms = [{ name: "value", type: "float" }], this.outputShape = t10.map((h, g) => h[0] + e[g] + h[1]); - let n = e.length, s = $e(n), a = t10.map((h) => h[0]).join(","), i = t10.map((h, g) => h[0] + e[g]).join(","), p = Et("rc", n), u = Et("source", n), c = `${p[n - 1]} < ${this.outputShape[n - 1]}`, l = n === 1 ? "source" : `vec2(${u.slice(-2).join()})`, m = [`${s} rc = outputLoc;`, `${p[n - 1]} += 1; + let n = e.length, s = Re(n), a = t10.map((h) => h[0]).join(","), i = t10.map((h, g) => h[0] + e[g]).join(","), p = Rt("rc", n), u = Rt("source", n), c = `${p[n - 1]} < ${this.outputShape[n - 1]}`, l = n === 1 ? "source" : `vec2(${u.slice(-2).join()})`, m = [`${s} rc = outputLoc;`, `${p[n - 1]} += 1; if(${c}) { `, n === 1 ? "" : `} rc = outputLoc; @@ -22707,17 +23173,17 @@ var eg = class { `; } }; -var Xw = (r) => { +var dv = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { paddings: s, constantValue: a } = o; if (y.sizeFromShape(n.shape) === 0) { let u = s.map((c, l) => c[0] + n.shape[l] + c[1]); - return qa({ backend: t10, attrs: { shape: u, value: a, dtype: n.dtype } }); + return xi({ backend: t10, attrs: { shape: u, value: a, dtype: n.dtype } }); } - let i = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new eg(n.shape, s, a) : new Jh(n.shape, s, a), p = [[a]]; + let i = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new hg(n.shape, s, a) : new fg(n.shape, s, a), p = [[a]]; return t10.runWebGLProgram(i, [n], n.dtype, p); }; -var bD = { kernelName: En, backendName: "webgl", kernelFunc: Xw }; -var Y7 = ` +var GF = { kernelName: Qn, backendName: "webgl", kernelFunc: dv }; +var cee = ` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -22727,7 +23193,7 @@ var Y7 = ` return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); `; -var Q7 = ` +var lee = ` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -22743,57 +23209,57 @@ var Q7 = ` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - ` + Js + ` + ` + Kr + ` return result; `; -var Z7 = tt({ opSnippet: Y7, packedOpSnippet: Q7 }); -var CD = { kernelName: An, backendName: "webgl", kernelFunc: Z7 }; -function J7(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = [], u = y.parseAxisParam(s, n.shape), c = u, l = S.getAxesPermutation(c, i), m = n; - l != null && (m = yt({ inputs: { x: n }, backend: t10, attrs: { perm: l } }), c = S.getInnerMostAxes(c.length, i), p.push(m)), S.assertAxesAreInnerMostDims("prod", c, i); +var mee = nt({ opSnippet: cee, packedOpSnippet: lee }); +var HF = { kernelName: Zn, backendName: "webgl", kernelFunc: mee }; +function dee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o, i = n.shape.length, p = [], u = y.parseAxisParam(s, n.shape), c = u, l = C.getAxesPermutation(c, i), m = n; + l != null && (m = bt({ inputs: { x: n }, backend: t10, attrs: { perm: l } }), c = C.getInnerMostAxes(c.length, i), p.push(m)), C.assertAxesAreInnerMostDims("prod", c, i); let d; if (t10.shouldExecuteOnCPU([m])) { - let f = t10.texData.get(m.dataId).values, { outVals: h, outShape: g, outDtype: x } = pE(m.shape, m.dtype, f, c); + let f = t10.texData.get(m.dataId).values, { outVals: h, outShape: g, outDtype: x } = AR(m.shape, m.dtype, f, c); d = t10.makeTensorInfo(g, x, h); } else { - let [f, h] = S.computeOutAndReduceShapes(m.shape, c), g = y.sizeFromShape(h), x = re({ inputs: { x: m }, backend: t10, attrs: { shape: [-1, g] } }), b = Ta(n.dtype), C = Ur(x, b, "prod", t10); - d = re({ inputs: { x: C }, backend: t10, attrs: { shape: f } }), p.push(x), p.push(C); + let [f, h] = C.computeOutAndReduceShapes(m.shape, c), g = y.sizeFromShape(h), x = te({ inputs: { x: m }, backend: t10, attrs: { shape: [-1, g] } }), b = Za(n.dtype), w = qr(x, b, "prod", t10); + d = te({ inputs: { x: w }, backend: t10, attrs: { shape: f } }), p.push(x), p.push(w); } if (a) { p.push(d); - let f = S.expandShapeToKeepDim(d.shape, u); - d = re({ inputs: { x: d }, backend: t10, attrs: { shape: f } }); + let f = C.expandShapeToKeepDim(d.shape, u); + d = te({ inputs: { x: d }, backend: t10, attrs: { shape: f } }); } return p.forEach((f) => t10.disposeIntermediateTensorInfo(f)), d; } -var SD = { kernelName: Dn, backendName: "webgl", kernelFunc: J7 }; -function eZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { paramsNestedSplits: n, paramsDenseValues: s, indices: a } = e, { outputRaggedRank: i } = o, p = n.map((x) => t10.readSync(x.dataId)), u = n.map((x) => x.shape), c = t10.readSync(s.dataId), l = t10.readSync(a.dataId), [m, d, f] = cE(p, u, c, s.shape, s.dtype, l, a.shape, i), h = m.map((x) => t10.makeTensorInfo([x.length], "int32", x)), g = t10.makeTensorInfo(f, s.dtype, d); +var KF = { kernelName: es, backendName: "webgl", kernelFunc: dee }; +function fee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { paramsNestedSplits: n, paramsDenseValues: s, indices: a } = e, { outputRaggedRank: i } = o, p = n.map((x) => t10.readSync(x.dataId)), u = n.map((x) => x.shape), c = t10.readSync(s.dataId), l = t10.readSync(a.dataId), [m, d, f] = FR(p, u, c, s.shape, s.dtype, l, a.shape, i), h = m.map((x) => t10.makeTensorInfo([x.length], "int32", x)), g = t10.makeTensorInfo(f, s.dtype, d); return h.concat([g]); } -var wD = { kernelName: Ip, backendName: "webgl", kernelFunc: eZ }; -function tZ(r) { - let { inputs: e, backend: t10 } = r, { starts: o, limits: n, deltas: s } = e, a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = lE(a, o.shape, o.dtype, i, n.shape, p, s.shape), l = t10.makeTensorInfo([u.length], "int32", u), m = t10.makeTensorInfo([c.length], o.dtype, c); +var qF = { kernelName: Kp, backendName: "webgl", kernelFunc: fee }; +function hee(r) { + let { inputs: e, backend: t10 } = r, { starts: o, limits: n, deltas: s } = e, a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = PR(a, o.shape, o.dtype, i, n.shape, p, s.shape), l = t10.makeTensorInfo([u.length], "int32", u), m = t10.makeTensorInfo([c.length], o.dtype, c); return [l, m]; } -var ID = { kernelName: vp, backendName: "webgl", kernelFunc: tZ }; -function rZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { shape: n, values: s, defaultValue: a, rowPartitionTensors: i } = e, { rowPartitionTypes: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), l = t10.readSync(a.dataId), m = i.map((g) => t10.readSync(g.dataId)), d = i.map((g) => g.shape), [f, h] = mE(u, n.shape, c, s.shape, s.dtype, l, a.shape, m, d, p); +var jF = { kernelName: qp, backendName: "webgl", kernelFunc: hee }; +function gee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { shape: n, values: s, defaultValue: a, rowPartitionTensors: i } = e, { rowPartitionTypes: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), l = t10.readSync(a.dataId), m = i.map((g) => t10.readSync(g.dataId)), d = i.map((g) => g.shape), [f, h] = OR(u, n.shape, c, s.shape, s.dtype, l, a.shape, m, d, p); return t10.makeTensorInfo(f, s.dtype, h); } -var vD = { kernelName: kp, backendName: "webgl", kernelFunc: rZ }; -var Yw = (r) => { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = dE(o, n, s, a); +var XF = { kernelName: jp, backendName: "webgl", kernelFunc: gee }; +var fv = (r) => { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = MR(o, n, s, a); return e.makeTensorInfo([i.length], a, i); }; -var kD = { kernelName: Ts, backendName: "webgl", kernelFunc: Yw }; -var oZ = "return 1.0 / x;"; -var nZ = he({ opSnippet: oZ }); -var ND = { kernelName: Fn, backendName: "webgl", kernelFunc: nZ }; -var sZ = zt + ` +var YF = { kernelName: aa, backendName: "webgl", kernelFunc: fv }; +var xee = "return 1.0 / x;"; +var yee = ge({ opSnippet: xee }); +var QF = { kernelName: ts, backendName: "webgl", kernelFunc: yee }; +var bee = Ut + ` return (x < 0.0) ? 0.0 : x; `; -var aZ = ` +var Cee = ` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -22804,12 +23270,12 @@ var aZ = ` return result; `; -var iZ = he({ opSnippet: sZ, packedOpSnippet: aZ }); -var TD = { kernelName: On, backendName: "webgl", kernelFunc: iZ }; -var uZ = zt + ` +var wee = ge({ opSnippet: bee, packedOpSnippet: Cee }); +var ZF = { kernelName: rs, backendName: "webgl", kernelFunc: wee }; +var See = Ut + ` return (x < 0.0) ? 0.0 : min(6.0, x); `; -var pZ = ` +var Iee = ` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -22820,9 +23286,9 @@ var pZ = ` return result; `; -var cZ = he({ opSnippet: uZ, packedOpSnippet: pZ }); -var _D = { kernelName: Ln, backendName: "webgl", kernelFunc: cZ }; -var tg = class { +var vee = ge({ opSnippet: See, packedOpSnippet: Iee }); +var JF = { kernelName: ss, backendName: "webgl", kernelFunc: vee }; +var gg = class { constructor(e, t10, o, n, s) { this.variableNames = ["A"], this.outputShape = []; let [a, i, p, u] = e; @@ -22864,7 +23330,7 @@ var tg = class { `; } }; -var rg = class { +var xg = class { constructor(e, t10, o, n, s) { this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outputShape = []; let [a, i, p, u] = e; @@ -22950,12 +23416,12 @@ var rg = class { `; } }; -function lZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = O().getBool("WEBGL_PACK_IMAGE_OPERATIONS") ? new rg(n.shape, p, u, s, a) : new tg(n.shape, p, u, s, a); +function kee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = P().getBool("WEBGL_PACK_IMAGE_OPERATIONS") ? new xg(n.shape, p, u, s, a) : new gg(n.shape, p, u, s, a); return t10.runWebGLProgram(c, [n], "float32"); } -var $D = { kernelName: Mn, backendName: "webgl", kernelFunc: lZ }; -var og = class { +var e3 = { kernelName: ns, backendName: "webgl", kernelFunc: kee }; +var yg = class { constructor(e, t10, o) { this.variableNames = ["dy"], this.outputShape = [], this.outputShape = t10; let [, n, s] = t10, [, a, i] = e, p = [o && a > 1 ? n - 1 : n, o && i > 1 ? s - 1 : s], u = [o && a > 1 ? a - 1 : a, o && i > 1 ? i - 1 : i], c = p[0] / u[0], l = p[1] / u[1], m = 1 / c, d = 1 / l, f = Math.ceil(m) * 2 + 2, h = Math.ceil(d) * 2 + 2; @@ -23043,12 +23509,12 @@ var og = class { `; } }; -function mZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = new og(s.shape, n.shape, a); +function Nee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = new yg(s.shape, n.shape, a); return t10.runWebGLProgram(i, [s], s.dtype); } -var ED = { kernelName: Am, backendName: "webgl", kernelFunc: mZ }; -var ng = class { +var t3 = { kernelName: qa, backendName: "webgl", kernelFunc: Nee }; +var bg = class { constructor(e, t10, o, n, s) { this.variableNames = ["A"], this.outputShape = []; let [a, i, p, u] = e; @@ -23079,7 +23545,7 @@ var ng = class { `; } }; -var sg = class { +var Cg = class { constructor(e, t10, o, n, s) { this.variableNames = ["A"], this.packedInputs = true, this.packedOutput = true, this.outputShape = []; let [a, i, p, u] = e; @@ -23129,12 +23595,12 @@ var sg = class { `; } }; -function dZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = O().getBool("WEBGL_PACK_IMAGE_OPERATIONS") ? new sg(n.shape, p, u, s, a) : new ng(n.shape, p, u, s, a); +function Tee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = P().getBool("WEBGL_PACK_IMAGE_OPERATIONS") ? new Cg(n.shape, p, u, s, a) : new bg(n.shape, p, u, s, a); return t10.runWebGLProgram(c, [n], n.dtype); } -var AD = { kernelName: Pn, backendName: "webgl", kernelFunc: dZ }; -var ag = class { +var r3 = { kernelName: os, backendName: "webgl", kernelFunc: Tee }; +var wg = class { constructor(e, t10, o) { this.variableNames = ["dy"], this.outputShape = [], this.outputShape = t10; let [, n, s] = t10, [, a, i] = e, p = [o && a > 1 ? n - 1 : n, o && i > 1 ? s - 1 : s], u = [o && a > 1 ? a - 1 : a, o && i > 1 ? i - 1 : i], c = p[0] / u[0], l = p[1] / u[1], m = 1 / c, d = 1 / l, f = Math.ceil(m) * 2 + 2, h = Math.ceil(d) * 2 + 2; @@ -23211,12 +23677,12 @@ var ag = class { `; } }; -function fZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = new ag(s.shape, n.shape, a); +function _ee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = new wg(s.shape, n.shape, a); return t10.runWebGLProgram(i, [s], s.dtype); } -var RD = { kernelName: Em, backendName: "webgl", kernelFunc: fZ }; -var ig = class { +var o3 = { kernelName: Ka, backendName: "webgl", kernelFunc: _ee }; +var Sg = class { constructor(e, t10) { this.variableNames = ["x"]; let o = e.length; @@ -23231,7 +23697,7 @@ var ig = class { `; return; } - let n = (i) => t10.indexOf(i) !== -1 && e[i] !== 1 ? `${e[i]} - coords[${i}] - 1` : `coords[${i}]`, s = e.map((i, p) => n(p)).join(","), a = $e(o); + let n = (i) => t10.indexOf(i) !== -1 && e[i] !== 1 ? `${e[i]} - coords[${i}] - 1` : `coords[${i}]`, s = e.map((i, p) => n(p)).join(","), a = Re(o); this.userCode = ` void main() { ${a} coords = getOutputCoords(); @@ -23240,14 +23706,14 @@ var ig = class { `; } }; -var ug = class { +var Ig = class { constructor(e, t10) { this.variableNames = ["x"], this.packedInputs = true, this.packedOutput = true; let o = e.length; if (o > 4) throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`); this.outputShape = e; - let n = Et("rc", o), s = `${n[o - 1]} + 1 < ${this.outputShape[o - 1]}`, a = `${n[o - 2]} + 1 < ${this.outputShape[o - 2]}`, i = $e(o); + let n = Rt("rc", o), s = `${n[o - 1]} + 1 < ${this.outputShape[o - 1]}`, a = `${n[o - 2]} + 1 < ${this.outputShape[o - 2]}`, i = Re(o); o === 1 ? this.userCode = ` void main(){ int rc = getOutputCoords(); @@ -23290,7 +23756,7 @@ var ug = class { return f[o - 1] = "(" + f[o - 1] + " + 1)", f[o - 2] = "(" + f[o - 2] + " + 1)", m(f); } function m(f) { - let h = e.map((b, C) => d(C, f)), g = h.join(","), x = h.slice(-2).join(","); + let h = e.map((b, w) => d(w, f)), g = h.join(","), x = h.slice(-2).join(","); return `getChannel(getX(${g}), vec2(${x}))`; } function d(f, h) { @@ -23298,15 +23764,15 @@ var ug = class { } } }; -function hZ(r) { +function $ee(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dims: s } = o, a = n.shape.length, i = y.parseAxisParam(s, n.shape); if (a === 0) - return At({ inputs: { x: n }, backend: t10 }); - let p = O().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new ug(n.shape, i) : new ig(n.shape, i); + return Dt({ inputs: { x: n }, backend: t10 }); + let p = P().getBool("WEBGL_PACK_ARRAY_OPERATIONS") ? new Ig(n.shape, i) : new Sg(n.shape, i); return t10.runWebGLProgram(p, [n], n.dtype); } -var DD = { kernelName: Bn, backendName: "webgl", kernelFunc: hZ }; -var pg = class { +var n3 = { kernelName: as, backendName: "webgl", kernelFunc: $ee }; +var vg = class { constructor(e, t10) { this.variableNames = ["Image"], this.outputShape = [], this.customUniforms = [{ name: "params", type: "vec4" }]; let o = e[1], n = e[2]; @@ -23334,11 +23800,11 @@ var pg = class { `; } }; -var FD = { kernelName: ts, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { - let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = new pg(o.shape, s), [u, c] = S.getImageCenter(a, o.shape[1], o.shape[2]), l = [[u, c, Math.sin(n), Math.cos(n)]]; +var s3 = { kernelName: _s, backendName: "webgl", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { + let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = new vg(o.shape, s), [u, c] = C.getImageCenter(a, o.shape[1], o.shape[2]), l = [[u, c, Math.sin(n), Math.cos(n)]]; return i.runWebGLProgram(p, [o], o.dtype, l); } }; -var gZ = ` +var Eee = ` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -23354,54 +23820,108 @@ var gZ = ` } } `; -var xZ = he({ opSnippet: gZ }); -var OD = { kernelName: Vn, backendName: "webgl", kernelFunc: xZ }; -var yZ = "return inversesqrt(x);"; -var bZ = he({ opSnippet: yZ, cpuKernelImpl: fE }); -var PD = { kernelName: zn, backendName: "webgl", kernelFunc: bZ }; -var Sc = class { - constructor(e, t10, o, n, s, a, i = true) { +var Ree = ge({ opSnippet: Eee }); +var a3 = { kernelName: is, backendName: "webgl", kernelFunc: Ree }; +var Dee = "return inversesqrt(x);"; +var Aee = ge({ opSnippet: Dee, cpuKernelImpl: LR }); +var i3 = { kernelName: us, backendName: "webgl", kernelFunc: Aee }; +var yu = class { + constructor(e, t10, o, n, s, a, i = true, p = false) { this.variableNames = ["updates", "indices", "defaultValue"], this.outputShape = a; - let p = $e(s.length), u = $e(a.length), c = ""; - o === 1 ? c = "i" : o === 2 && (c = "i, j"); - let l = `getIndices(${c})`, m = ""; - n === 1 ? m = "i" : n === 2 && (m = "i, coords[1]"); - let d = `getUpdates(${m})`, f = t10 > 1 ? "strides[j]" : "strides"; + let u = Re(s.length), c = Re(a.length), l = ""; + o === 1 ? l = "i" : o === 2 && (l = "i, j"); + let m = `getIndices(${l})`, d = ""; + n === 1 ? d = "i" : n === 2 && (d = "i, coords[1]"); + let f = `getUpdates(${d})`, h = ""; + p && (h = "coords[0], coords[1]"); + let g = `getDefaultValue(${h})`, x = t10 > 1 ? "strides[j]" : "strides"; this.userCode = ` - ${p} strides = ${p}(${s}); + ${u} strides = ${u}(${s}); void main() { - ${u} coords = getOutputCoords(); + ${c} coords = getOutputCoords(); float sum = 0.0; bool found = false; for (int i = 0; i < ${e}; i++) { int flattenedIndex = 0; for (int j = 0; j < ${t10}; j++) { - int index = round(${l}); - flattenedIndex += index * ${f}; + int index = round(${m}); + flattenedIndex += index * ${x}; } if (flattenedIndex == coords[0]) { - sum += ${d}; + sum += ${f}; found = true; } } - setOutput(mix(getDefaultValue(), sum, float(found))); + setOutput(mix(${g}, sum, float(found))); } `; } }; -function CZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = S.calculateShapes(s, n, a), m = [l / u, u]; +var kg = class { + constructor(e, t10, o, n, s, a, i = true, p = false) { + this.variableNames = ["updates", "indices", "defaultValue"], this.packedInputs = true, this.packedOutput = true, this.outputShape = a; + let u = Re(s.length), c = Re(a.length), l = ""; + o === 1 ? l = "i" : o === 2 && (l = "i, j"); + let m = `getIndices(${l})`, d = ""; + n === 1 ? d = "i" : n === 2 && (d = "i, coords[1]"); + let f = `getUpdates(${d})`, h = ""; + p && (h = "coords[0], coords[1]"); + let g = `getDefaultValue(${h})`, x = t10 > 1 ? "strides[j]" : "strides", b = t10 > 1 ? "strides[j + 1]" : "strides"; + this.userCode = ` + ${u} strides = ${u}(${s}); + + void main() { + ${c} coords = getOutputCoords(); + vec4 sum = vec4(0.); + vec4 found = vec4(0.); + for (int i = 0; i < ${e}; i+=2) { + ivec2 flattenedIndex = ivec2(0); + for (int j = 0; j < ${t10}; j+=2) { + ivec4 index = round(${m}); + flattenedIndex += index.xz * ${x}; + if (j + 1 < ${t10}) { + flattenedIndex += index.yw * ${b}; + } + } + if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] || + flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) { + vec4 updVals = ${f}; + if (flattenedIndex[0] == coords[0]) { + sum.xy += updVals.xy; + found.xy = vec2(1.); + } else if (flattenedIndex[0] == coords[0] + 1) { + sum.zw += updVals.xy; + found.zw = vec2(1.); + } + if (flattenedIndex[1] == coords[0]) { + sum.xy += updVals.zw; + found.xy = vec2(1.); + } else if (flattenedIndex[1] == coords[0] + 1) { + sum.zw += updVals.zw; + found.zw = vec2(1.); + } + } + } + setOutput(mix(${g}, sum, found)); + } + `; + } +}; +function Fee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = C.calculateShapes(s, n, a), m = [l / u, u]; if (l === 0) return t10.makeTensorInfo(a, n.dtype); - let d = re({ inputs: { x: n }, backend: t10, attrs: { shape: [p, i] } }), f = re({ inputs: { x: s }, backend: t10, attrs: { shape: [p, u] } }), h = t10.makeTensorInfo([], "float32", new Float32Array([0])), g = new Sc(p, i, d.shape.length, f.shape.length, c, m), x = t10.runWebGLProgram(g, [f, d, h], f.dtype), b = re({ inputs: { x }, backend: t10, attrs: { shape: a } }); + let d = te({ inputs: { x: n }, backend: t10, attrs: { shape: [p, i] } }), f = te({ inputs: { x: s }, backend: t10, attrs: { shape: [p, u] } }), h = t10.makeTensorInfo([], "float32", new Float32Array([0])), g; + P().getBool("WEBGL_PACK") ? g = new kg(p, i, d.shape.length, f.shape.length, c, m) : g = new yu(p, i, d.shape.length, f.shape.length, c, m); + let x = t10.runWebGLProgram(g, [f, d, h], f.dtype), b = te({ inputs: { x }, backend: t10, attrs: { shape: a } }); return t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(x), t10.disposeIntermediateTensorInfo(h), b; } -var MD = { kernelName: Wn, backendName: "webgl", kernelFunc: CZ }; -var cg = class { +var u3 = { kernelName: ps, backendName: "webgl", kernelFunc: Fee }; +var Ng = class { constructor(e, t10, o, n) { this.variableNames = ["sortedSequence", "values"], this.customUniforms = [{ name: "numInputs", type: "int" }], this.outputShape = [e, o]; - let s = "while (left < right) {", a = `for (int i = 0; i < ${Math.ceil(Math.log2(t10 + 1))}; ++i) { if (left >= right) break;`, i = O().getNumber("WEBGL_VERSION") === 2 ? s : a, p = n === "left" ? "<" : "<="; + let s = "while (left < right) {", a = `for (int i = 0; i < ${Math.ceil(Math.log2(t10 + 1))}; ++i) { if (left >= right) break;`, i = P().getNumber("WEBGL_VERSION") === 2 ? s : a, p = n === "left" ? "<" : "<="; this.userCode = ` int findBound(int batch, float value) { int left = 0; @@ -23430,12 +23950,12 @@ var cg = class { `; } }; -function SZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = new cg(n.shape[0], n.shape[1], s.shape[1], a), p = [[n.shape[1]]]; +function Pee(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = new Ng(n.shape[0], n.shape[1], s.shape[1], a), p = [[n.shape[1]]]; return t10.runWebGLProgram(i, [n, s], "int32", p); } -var LD = { kernelName: fi, backendName: "webgl", kernelFunc: SZ }; -var lg = class { +var p3 = { kernelName: ls, backendName: "webgl", kernelFunc: Pee }; +var Tg = class { constructor(e, t10, o) { this.variableNames = ["c", "a", "b"], this.outputShape = t10; let n, s; @@ -23449,7 +23969,7 @@ var lg = class { u.push(`${i[c]}`), c < e && p.push(`${i[c]}`); n = p.join(), s = u.join(); } - let a = $e(o); + let a = Re(o); this.userCode = ` void main() { ${a} resRC = getOutputCoords(); @@ -23463,24 +23983,24 @@ var lg = class { `; } }; -function wZ(r) { - let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e, a = new lg(o.shape.length, n.shape, n.shape.length); +function Oee(r) { + let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e, a = new Tg(o.shape.length, n.shape, n.shape.length); return t10.runWebGLProgram(a, [o, n, s], dt(n.dtype, s.dtype)); } -var BD = { kernelName: $s, backendName: "webgl", kernelFunc: wZ }; -var IZ = ` +var c3 = { kernelName: ua, backendName: "webgl", kernelFunc: Oee }; +var Mee = ` // Stable and Attracting Fixed Point (0, 1) for Normalized Weights. // see: https://arxiv.org/abs/1706.02515 - float scaleAlpha = ${S.SELU_SCALEALPHA}; - float scale = ${S.SELU_SCALE}; + float scaleAlpha = ${C.SELU_SCALEALPHA}; + float scale = ${C.SELU_SCALE}; return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); `; -var vZ = he({ opSnippet: IZ }); -var VD = { kernelName: Ca, backendName: "webgl", kernelFunc: vZ }; -var kZ = $o + ` +var Lee = ge({ opSnippet: Mee }); +var l3 = { kernelName: ms, backendName: "webgl", kernelFunc: Lee }; +var Bee = Do + ` return 1.0 / (1.0 + exp(-1.0 * x)); `; -var NZ = ` +var zee = ` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -23491,26 +24011,32 @@ var NZ = ` return result; `; -var TZ = he({ opSnippet: kZ, packedOpSnippet: NZ, cpuKernelImpl: gE }); -var zD = { kernelName: Gn, backendName: "webgl", kernelFunc: TZ }; -var _Z = ` +var Vee = ge({ opSnippet: Bee, packedOpSnippet: zee, cpuKernelImpl: zR }); +var m3 = { kernelName: hs, backendName: "webgl", kernelFunc: Vee }; +var Wee = ` if (isnan(x)) { return 0.0; } return sign(x); `; -var $Z = he({ opSnippet: _Z }); -var WD = { kernelName: wa, backendName: "webgl", kernelFunc: $Z }; -var EZ = $o + ` +var Uee = ge({ opSnippet: Wee }); +var d3 = { kernelName: fs, backendName: "webgl", kernelFunc: Uee }; +var Gee = Do + ` return sin(x); `; -var AZ = he({ opSnippet: EZ }); -var UD = { kernelName: Un, backendName: "webgl", kernelFunc: AZ }; -var RZ = ` +var Hee = ` + vec4 result = sin(x); + bvec4 isNaN = isnan(x); + ${Kr} + return result; +`; +var Kee = ge({ opSnippet: Gee, packedOpSnippet: Hee }); +var f3 = { kernelName: ds, backendName: "webgl", kernelFunc: Kee }; +var qee = ` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; `; -var DZ = he({ opSnippet: RZ }); -var GD = { kernelName: Sa, backendName: "webgl", kernelFunc: DZ }; -var FZ = ` +var jee = ge({ opSnippet: qee }); +var h3 = { kernelName: ja, backendName: "webgl", kernelFunc: jee }; +var Xee = ` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -23531,20 +24057,20 @@ var FZ = ` } return result; `; -var OZ = he({ opSnippet: FZ }); -var HD = { kernelName: Ia, backendName: "webgl", kernelFunc: OZ }; -var PZ = (r) => { +var Yee = ge({ opSnippet: Xee }); +var g3 = { kernelName: gs, backendName: "webgl", kernelFunc: Yee }; +var Qee = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, paddings: a } = o; y.assert(n.shape.length <= 4, () => "spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"); let i = s.reduce((x, b) => x * b), p = [[0, 0]]; p.push(...a); for (let x = 1 + s.length; x < n.shape.length; ++x) p.push([0, 0]); - let u = [], c = Xw({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), l = S.getReshaped(c.shape, s, i, false), m = S.getPermuted(l.length, s.length, false), d = S.getReshapedPermuted(c.shape, s, i, false), f = re({ inputs: { x: c }, backend: t10, attrs: { shape: l } }), h = yt({ inputs: { x: f }, backend: t10, attrs: { perm: m } }), g = re({ inputs: { x: h }, backend: t10, attrs: { shape: d } }); + let u = [], c = dv({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), l = C.getReshaped(c.shape, s, i, false), m = C.getPermuted(l.length, s.length, false), d = C.getReshapedPermuted(c.shape, s, i, false), f = te({ inputs: { x: c }, backend: t10, attrs: { shape: l } }), h = bt({ inputs: { x: f }, backend: t10, attrs: { perm: m } }), g = te({ inputs: { x: h }, backend: t10, attrs: { shape: d } }); return u.push(c), u.push(f), u.push(h), u.forEach((x) => t10.disposeIntermediateTensorInfo(x)), g; }; -var KD = { kernelName: As, backendName: "webgl", kernelFunc: PZ }; -function MZ(r) { +var x3 = { kernelName: ca, backendName: "webgl", kernelFunc: Qee }; +function Zee(r) { let { inputs: e, backend: t10 } = r, { indices: o, values: n, denseShape: s, defaultValue: a } = e; if (s.shape.length !== 1) throw new Error(`Dense shape must be a vector, saw: @@ -23558,11 +24084,11 @@ function MZ(r) { if (a.shape.length !== 0) throw new Error(`Default value must be a scalar, saw: ${a.shape}`); - let i = t10.readSync(o.dataId), p = t10.readSync(n.dataId), u = t10.readSync(s.dataId), c = t10.readSync(a.dataId)[0], [l, m, d, f, h] = yE(i, o.shape, o.dtype, p, n.dtype, u, c); + let i = t10.readSync(o.dataId), p = t10.readSync(n.dataId), u = t10.readSync(s.dataId), c = t10.readSync(a.dataId)[0], [l, m, d, f, h] = WR(i, o.shape, o.dtype, p, n.dtype, u, c); return [t10.makeTensorInfo(m, o.dtype, l), t10.makeTensorInfo([m[0]], n.dtype, d), t10.makeTensorInfo([f.length], "bool", new Uint8Array(f.map((g) => Number(g)))), t10.makeTensorInfo([h.length], o.dtype, new Int32Array(h))]; } -var qD = { kernelName: hi, backendName: "webgl", kernelFunc: MZ }; -function LZ(r) { +var y3 = { kernelName: Vi, backendName: "webgl", kernelFunc: Zee }; +function Jee(r) { let { inputs: e, backend: t10 } = r, { inputIndices: o, inputShape: n, newShape: s } = e; if (o.shape.length !== 2) throw new Error(`Input indices should be a matrix but received shape ${o.shape}`); @@ -23570,11 +24096,11 @@ function LZ(r) { throw new Error(`Input shape should be a vector but received shape ${n.shape}`); if (s.shape.length !== 1) throw new Error(`Target shape should be a vector but received shape ${s.shape}`); - let a = Array.from(t10.readSync(n.dataId)), i = t10.readSync(o.dataId), p = Array.from(t10.readSync(s.dataId)), [u, c, l] = bE(i, o.shape, o.dtype, a, p); + let a = Array.from(t10.readSync(n.dataId)), i = t10.readSync(o.dataId), p = Array.from(t10.readSync(s.dataId)), [u, c, l] = UR(i, o.shape, o.dtype, a, p); return [t10.makeTensorInfo(c, o.dtype, u), t10.makeTensorInfo([l.length], s.dtype, new Int32Array(l))]; } -var jD = { kernelName: va, backendName: "webgl", kernelFunc: LZ }; -function BZ(r) { +var b3 = { kernelName: Xa, backendName: "webgl", kernelFunc: Jee }; +function ete(r) { let { inputs: e, backend: t10 } = r, { data: o, indices: n, segmentIds: s } = e; if (o.shape.length < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -23584,11 +24110,11 @@ function BZ(r) { if (s.shape.length !== 1) throw new Error(`Segment ids should be a vector but received shape ${s.shape}`); - let a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = jf(a, o.shape, o.dtype, i, p, true); + let a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = uh(a, o.shape, o.dtype, i, p, true); return t10.makeTensorInfo(c, o.dtype, u); } -var XD = { kernelName: gi, backendName: "webgl", kernelFunc: BZ }; -function VZ(r) { +var C3 = { kernelName: Wi, backendName: "webgl", kernelFunc: ete }; +function tte(r) { let { inputs: e, backend: t10 } = r, { data: o, indices: n, segmentIds: s } = e; if (o.shape.length < 1) throw new Error("Data should be at least 1 dimensional but received scalar"); @@ -23598,50 +24124,58 @@ function VZ(r) { if (s.shape.length !== 1) throw new Error(`Segment ids should be a vector but received shape ${s.shape}`); - let a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = jf(a, o.shape, o.dtype, i, p); + let a = t10.readSync(o.dataId), i = t10.readSync(n.dataId), p = t10.readSync(s.dataId), [u, c] = uh(a, o.shape, o.dtype, i, p); return t10.makeTensorInfo(c, o.dtype, u); } -var YD = { kernelName: xi, backendName: "webgl", kernelFunc: VZ }; -function zZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = S.calculateShapes(s, n, i), d = false; +var w3 = { kernelName: Ui, backendName: "webgl", kernelFunc: tte }; +function rte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = C.calculateShapes(s, n, i), d = false; if (s.dtype === "string") { - let x = t10.bufferSync(n), b = t10.bufferSync(s), C = y.decodeString(t10.readSync(a.dataId)[0]), w = hE(x, b, i, m, c, u, p, l, C, d); - return t10.makeTensorInfo(i, w.dtype, w.values); + let x = t10.bufferSync(n), b = t10.bufferSync(s), w = y.decodeString(t10.readSync(a.dataId)[0]), S = BR(x, b, i, m, c, u, p, l, w, d); + return t10.makeTensorInfo(i, S.dtype, S.values); } - let f = new Sc(u, p, n.shape.length, s.shape.length, l, [m, 1], d), h = t10.runWebGLProgram(f, [s, n, a], s.dtype), g = re({ inputs: { x: h }, backend: t10, attrs: { shape: i } }); + let f = new yu(u, p, n.shape.length, s.shape.length, l, [m, 1], d), h = t10.runWebGLProgram(f, [s, n, a], s.dtype), g = te({ inputs: { x: h }, backend: t10, attrs: { shape: i } }); return t10.disposeIntermediateTensorInfo(h), g; } -var QD = { kernelName: yi, backendName: "webgl", kernelFunc: zZ }; -function WZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = S.prepareSplitSize(n, s, i), u = n.shape.length, c = new Array(u).fill(0), l = n.shape.slice(); +var S3 = { kernelName: Cs, backendName: "webgl", kernelFunc: rte }; +function ote(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = C.prepareSplitSize(n, s, i), u = n.shape.length, c = new Array(u).fill(0), l = n.shape.slice(); return p.map((m) => { let d = [...l]; d[i] = m; - let f = ls({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: d } }); + let f = Ls({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: d } }); return c[i] += m, f; }); } -var ZD = { kernelName: Rs, backendName: "webgl", kernelFunc: WZ }; -var JD = "return sqrt(x);"; -var UZ = he({ opSnippet: JD, packedOpSnippet: JD, cpuKernelImpl: CE }); -var eF = { kernelName: Hn, backendName: "webgl", kernelFunc: UZ }; -var GZ = "return x * x;"; -var HZ = he({ opSnippet: GZ }); -var tF = { kernelName: bi, backendName: "webgl", kernelFunc: HZ }; -var rF = "return (a - b) * (a - b);"; -var KZ = tt({ opSnippet: rF, packedOpSnippet: rF }); -var oF = { kernelName: jn, backendName: "webgl", kernelFunc: KZ }; -function qZ({ inputs: r, attrs: e, backend: t10 }) { - let { x: o } = r, n = zt + ` +var I3 = { kernelName: la, backendName: "webgl", kernelFunc: ote }; +var v3 = "return sqrt(x);"; +var nte = ge({ opSnippet: v3, packedOpSnippet: v3, cpuKernelImpl: GR }); +var k3 = { kernelName: xs, backendName: "webgl", kernelFunc: nte }; +var ste = "return x * x;"; +var ate = ge({ opSnippet: ste }); +var N3 = { kernelName: Gi, backendName: "webgl", kernelFunc: ate }; +var T3 = "return (a - b) * (a - b);"; +var ite = nt({ opSnippet: T3, packedOpSnippet: T3 }); +var _3 = { kernelName: ws, backendName: "webgl", kernelFunc: ite }; +function ute(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e; + if (n.dtype !== "string") + throw new Error("Input must be of datatype string"); + let s = t10.readSync(n.dataId), a = C.fromUint8ToStringArray(s), i = HR(a, "string", o); + return t10.makeTensorInfo(n.shape, "string", i); +} +var $3 = { kernelName: _u, backendName: "webgl", kernelFunc: ute }; +function pte({ inputs: r, attrs: e, backend: t10 }) { + let { x: o } = r, n = Ut + ` return x > 0.0 ? 1.0 : float(${e.alpha}); - `, s = new Jt(o.shape, n); + `, s = new tr(o.shape, n); return t10.runWebGLProgram(s, [o], o.dtype); } -var nF = { kernelName: fo, backendName: "webgl", kernelFunc: qZ }; -var mg = class { +var E3 = { kernelName: yo, backendName: "webgl", kernelFunc: pte }; +var _g = class { constructor(e, t10, o) { this.variableNames = ["x"], this.outputShape = o; - let n = o.length, s = $e(o.length), a = $e(o.length), i = ""; + let n = o.length, s = Re(o.length), a = Re(o.length), i = ""; if (n === 1) i = "coords * strides + begin"; else { @@ -23659,31 +24193,31 @@ var mg = class { `; } }; -function jZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: C, strides: w } = ut.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; +function cte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: w, strides: S } = ct.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; if (h) - k = re({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); + k = te({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); else if (g || x) { y.assert(n.shape.length >= 1, () => `Input must have rank at least 1, got: ${n.shape.length}`); - let E = ut.computeOutShape(b, C, w), A = ls({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: E } }); - k = re({ inputs: { x: A }, backend: t10, attrs: { shape: f } }), t10.disposeIntermediateTensorInfo(A); + let E = ct.computeOutShape(b, w, S), R = Ls({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: E } }); + k = te({ inputs: { x: R }, backend: t10, attrs: { shape: f } }), t10.disposeIntermediateTensorInfo(R); } else if (t10.shouldExecuteOnCPU([n])) { - let A = t10.readSync(n.dataId), R = le(n.shape, n.dtype, A), D = SE(d, R, w, b); - k = t10.makeTensorInfo(f, n.dtype, D.values); + let R = t10.readSync(n.dataId), D = me(n.shape, n.dtype, R), F = KR(d, D, S, b); + k = t10.makeTensorInfo(f, n.dtype, F.values); } else { - let A = new mg(b, w, d); - k = t10.runWebGLProgram(A, [n], n.dtype); + let R = new _g(b, S, d); + k = t10.runWebGLProgram(R, [n], n.dtype); } - let _ = re({ inputs: { x: k }, backend: t10, attrs: { shape: f } }); + let _ = te({ inputs: { x: k }, backend: t10, attrs: { shape: f } }); return t10.disposeIntermediateTensorInfo(k), _; } -var sF = { kernelName: Xn, backendName: "webgl", kernelFunc: jZ }; -function XZ(r) { - let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.readSync(c.dataId), d = t10.readSync(l.dataId), [f, h] = wE(m, d, n, s, a, i, p, u); +var R3 = { kernelName: Ss, backendName: "webgl", kernelFunc: cte }; +function lte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.readSync(c.dataId), d = t10.readSync(l.dataId), [f, h] = qR(m, d, n, s, a, i, p, u); return [t10.makeTensorInfo([f.length], "string", f), t10.makeTensorInfo(l.shape, "int32", h)]; } -var aF = { kernelName: Ds, backendName: "webgl", kernelFunc: XZ }; -function YZ(r) { +var D3 = { kernelName: ma, backendName: "webgl", kernelFunc: lte }; +function mte(r) { let { inputs: e, backend: t10, attrs: o } = r, { skipEmpty: n } = o, { input: s, delimiter: a } = e; if (s.dtype !== "string") throw new Error("Input must be of datatype string"); @@ -23691,37 +24225,45 @@ function YZ(r) { throw new Error(`Input must be a vector, got shape: ${s.shape}`); if (a.shape.length !== 0) throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`); - let i = t10.readSync(s.dataId), p = t10.readSync(a.dataId)[0], [u, c, l] = IE(i, p, n), m = c.length; + let i = t10.readSync(s.dataId), p = t10.readSync(a.dataId)[0], [u, c, l] = jR(i, p, n), m = c.length; return [t10.makeTensorInfo([m, 2], "int32", u), t10.makeTensorInfo([m], "string", c), t10.makeTensorInfo([2], "int32", new Int32Array(l))]; } -var iF = { kernelName: Ci, backendName: "webgl", kernelFunc: YZ }; -function QZ(r) { +var A3 = { kernelName: Hi, backendName: "webgl", kernelFunc: mte }; +function dte(r) { let { inputs: e, backend: t10, attrs: o } = r, { numBuckets: n } = o, { input: s } = e; if (s.dtype !== "string") throw new Error("Input must be of datatype string"); if (n <= 0) throw new Error("Number of buckets must be at least 1"); - let a = t10.readSync(s.dataId), i = vE(a, n); + let a = t10.readSync(s.dataId), i = XR(a, n); return t10.makeTensorInfo(s.shape, "int32", i); } -var uF = { kernelName: Si, backendName: "webgl", kernelFunc: QZ }; -var ZZ = "return tan(x);"; -var JZ = he({ opSnippet: ZZ }); -var pF = { kernelName: Qn, backendName: "webgl", kernelFunc: JZ }; -var e9 = ` +var F3 = { kernelName: Ki, backendName: "webgl", kernelFunc: dte }; +var fte = "return tan(x);"; +var hte = ge({ opSnippet: fte }); +var P3 = { kernelName: vs, backendName: "webgl", kernelFunc: hte }; +var gte = ` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); `; -var t9 = he({ opSnippet: e9 }); -var cF = { kernelName: Zn, backendName: "webgl", kernelFunc: t9 }; -var dg = class { +var xte = ge({ opSnippet: gte }); +var O3 = { kernelName: ks, backendName: "webgl", kernelFunc: xte }; +function yte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { tensor: n, indices: s, updates: a } = e, {} = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = C.calculateShapes(a, s, n.shape), m = [l / u, u]; + if (l === 0) + return t10.makeTensorInfo(n.shape, s.dtype); + let d = te({ inputs: { x: s }, backend: t10, attrs: { shape: [p, i] } }), f = te({ inputs: { x: a }, backend: t10, attrs: { shape: [p, u] } }), h = te({ inputs: { x: n }, backend: t10, attrs: { shape: m } }), g = new yu(p, i, d.shape.length, f.shape.length, c, m, false, true), x = t10.runWebGLProgram(g, [f, d, h], h.dtype), b = te({ inputs: { x }, backend: t10, attrs: { shape: n.shape } }); + return t10.disposeIntermediateTensorInfo(d), t10.disposeIntermediateTensorInfo(f), t10.disposeIntermediateTensorInfo(h), t10.disposeIntermediateTensorInfo(x), b; +} +var M3 = { kernelName: cs, backendName: "webgl", kernelFunc: yte }; +var $g = class { constructor(e, t10) { this.variableNames = ["A"]; let o = new Array(e.length); for (let a = 0; a < o.length; a++) o[a] = e[a] * t10[a]; this.outputShape = o, this.rank = o.length; - let n = $e(this.rank), s = r9(e); + let n = Re(this.rank), s = bte(e); this.userCode = ` void main() { ${n} resRC = getOutputCoords(); @@ -23730,7 +24272,7 @@ var dg = class { `; } }; -function r9(r) { +function bte(r) { let e = r.length; if (e > 5) throw Error(`Tile for rank ${e} is not yet supported`); @@ -23741,17 +24283,17 @@ function r9(r) { o.push(`imod(${t10[n]}, ${r[n]})`); return o.join(); } -function Qw(r) { +function hv(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reps: s } = o; if (n.dtype === "string" || n.shape.length > 5) { - let p = t10.readSync(n.dataId), u = n.dtype === "string" ? p.map((m) => y.decodeString(m)) : p, c = le(n.shape, n.dtype, u), l = NE(c, s); + let p = t10.readSync(n.dataId), u = n.dtype === "string" ? p.map((m) => y.decodeString(m)) : p, c = me(n.shape, n.dtype, u), l = QR(c, s); return t10.makeTensorInfo(l.shape, l.dtype, l.values); } - let a = new dg(n.shape, s); + let a = new $g(n.shape, s); return t10.runWebGLProgram(a, [n], n.dtype); } -var lF = { kernelName: to, backendName: "webgl", kernelFunc: Qw }; -var fg = class { +var L3 = { kernelName: so, backendName: "webgl", kernelFunc: hv }; +var Eg = class { constructor(e) { this.variableNames = ["x", "indices"], this.customUniforms = [{ name: "n", type: "int" }, { name: "firstPass", type: "int" }, { name: "negativeInf", type: "float" }, { name: "dir", type: "int" }, { name: "inc", type: "int" }], this.outputShape = e, this.userCode = ` void main() { @@ -23796,7 +24338,7 @@ var fg = class { `; } }; -var hg = class { +var Rg = class { constructor(e) { this.variableNames = ["x", "indices"], this.customUniforms = [{ name: "n", type: "int" }, { name: "firstPass", type: "int" }, { name: "k", type: "int" }], this.outputShape = e, this.userCode = ` void main() { @@ -23835,54 +24377,54 @@ var hg = class { `; } }; -function Gu(r, e) { +function Ip(r, e) { e !== null && r.disposeIntermediateTensorInfo(e); } -function mF(r) { +function B3(r) { let e = 1; for (; e < r; ) e *= 2; return e; } -function o9(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { k: s, sorted: a } = o, i = O().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"), p = O().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"), u = n.shape, c = u[u.length - 1]; +function Cte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { k: s, sorted: a } = o, i = P().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"), p = P().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"), u = n.shape, c = u[u.length - 1]; if (t10.shouldExecuteOnCPU([n]) || c < i || s > p) { - let D = t10.readSync(n.dataId), [P, M] = TE(D, u, n.dtype, s, a); - return [t10.makeTensorInfo(P.shape, P.dtype, P.values), t10.makeTensorInfo(M.shape, M.dtype, M.values)]; + let F = t10.readSync(n.dataId), [O, M] = ZR(F, u, n.dtype, s, a); + return [t10.makeTensorInfo(O.shape, O.dtype, O.values), t10.makeTensorInfo(M.shape, M.dtype, M.values)]; } if (s === 0) return u[u.length - 1] = 0, [t10.makeTensorInfo(u, n.dtype, []), t10.makeTensorInfo(u, "int32", [])]; if (c === 1) - return [n, qa({ attrs: { shape: u, dtype: "int32", value: 0 }, backend: t10 })]; - let l = t10.texData.get(n.dataId), m = l !== null && l.isPacked, d = m ? t10.unpackTensor(n) : n, h = y.sizeFromShape(u) / c, g = re({ inputs: { x: d }, attrs: { shape: [h, c] }, backend: t10 }); - m && Gu(t10, d); - let x = mF(s), b = mF(c), C = null, w = () => C === null ? [g, g] : [g, C], k = (D, P, M) => { - let L = w(), V = new fg(M), U = [[c], [C === null ? 1 : 0], [Number.NEGATIVE_INFINITY], [D], [P]], K = C; - C = t10.runWebGLProgram(V, L, "int32", U), Gu(t10, K); + return [n, xi({ attrs: { shape: u, dtype: "int32", value: 0 }, backend: t10 })]; + let l = t10.texData.get(n.dataId), m = l !== null && l.isPacked, d = m ? t10.unpackTensor(n) : n, h = y.sizeFromShape(u) / c, g = te({ inputs: { x: d }, attrs: { shape: [h, c] }, backend: t10 }); + m && Ip(t10, d); + let x = B3(s), b = B3(c), w = null, S = () => w === null ? [g, g] : [g, w], k = (F, O, M) => { + let L = S(), B = new Eg(M), U = [[c], [w === null ? 1 : 0], [Number.NEGATIVE_INFINITY], [F], [O]], j = w; + w = t10.runWebGLProgram(B, L, "int32", U), Ip(t10, j); }; - for (let D = 1; D < x; D *= 2) { - let P = D * 2; - for (let M = D; M >= 1; M /= 2) - k(P, M, [h, b]); + for (let F = 1; F < x; F *= 2) { + let O = F * 2; + for (let M = F; M >= 1; M /= 2) + k(O, M, [h, b]); } - for (let D = b; D > x; D /= 2) { - let P = w(), M = new hg([h, D / 2]), V = [[c], [C === null ? 1 : 0], [x]], z = C; - C = t10.runWebGLProgram(M, P, "int32", V), Gu(t10, z); - let U = x / 2, K = U * 2; + for (let F = b; F > x; F /= 2) { + let O = S(), M = new Rg([h, F / 2]), B = [[c], [w === null ? 1 : 0], [x]], z = w; + w = t10.runWebGLProgram(M, O, "int32", B), Ip(t10, z); + let U = x / 2, j = U * 2; for (let H = U; H >= 1; H /= 2) - k(K, H, C.shape); + k(j, H, w.shape); } - let _ = C; - C = ls({ inputs: { x: C }, backend: t10, attrs: { begin: 0, size: [h, s] } }), Gu(t10, _); - let E = Gw({ inputs: { x: g, indices: C }, backend: t10, attrs: { axis: 1, batchDims: 1 } }); - Gu(t10, g); - let A = u.slice(0, -1); - A.push(s), _ = C, C = re({ inputs: { x: C }, attrs: { shape: A }, backend: t10 }), Gu(t10, _); - let R = E; - return E = re({ inputs: { x: E }, attrs: { shape: A }, backend: t10 }), Gu(t10, R), [E, C]; + let _ = w; + w = Ls({ inputs: { x: w }, backend: t10, attrs: { begin: 0, size: [h, s] } }), Ip(t10, _); + let E = uv({ inputs: { x: g, indices: w }, backend: t10, attrs: { axis: 1, batchDims: 1 } }); + Ip(t10, g); + let R = u.slice(0, -1); + R.push(s), _ = w, w = te({ inputs: { x: w }, attrs: { shape: R }, backend: t10 }), Ip(t10, _); + let D = E; + return E = te({ inputs: { x: E }, attrs: { shape: R }, backend: t10 }), Ip(t10, D), [E, w]; } -var dF = { kernelName: Jn, backendName: "webgl", kernelFunc: o9 }; -var gg = class { +var z3 = { kernelName: Ns, backendName: "webgl", kernelFunc: Cte }; +var Dg = class { constructor(e, t10, o, n, s, a) { this.variableNames = ["Image", "Transforms"], this.outputShape = a; let i = o === "nearest" ? 1 : 2, p; @@ -24018,19 +24560,19 @@ var gg = class { `; } }; -function n9(r) { - let { inputs: e, backend: t10, attrs: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new gg(l, m, a, i, p, g); +function wte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new Dg(l, m, a, i, p, g); return t10.runWebGLProgram(x, [n, s], "float32"); } -var fF = { kernelName: es, backendName: "webgl", kernelFunc: n9 }; -function s9(r) { +var V3 = { kernelName: Ts, backendName: "webgl", kernelFunc: wte }; +function Ste(r) { let { inputs: e, attrs: t10, backend: o } = r, { axis: n } = t10, { x: s } = e; - us(s, "unique"), console.warn("WARNING: ", "UI might be locked temporarily as data is being downloaded"); - let a = o.readSync(s.dataId), { outputValues: i, outputShape: p, indices: u } = _E(a, n, s.shape, s.dtype); + Ps(s, "unique"), console.warn("WARNING: ", "UI might be locked temporarily as data is being downloaded"); + let a = o.readSync(s.dataId), { outputValues: i, outputShape: p, indices: u } = JR(a, n, s.shape, s.dtype); return [o.makeTensorInfo(p, s.dtype, i), o.makeTensorInfo([u.length], "int32", u)]; } -var hF = { kernelName: Np, backendName: "webgl", kernelFunc: s9 }; -function a9(r) { +var W3 = { kernelName: qi, backendName: "webgl", kernelFunc: Ste }; +function Ite(r) { let { inputs: e, backend: t10, attrs: o } = r, { value: n } = e, { axis: s } = o; s < 0 && (s += n.shape.length); let a = n, i = a.shape.length, p = n.shape[s], u = new Array(i - 1), c = 0; @@ -24041,13 +24583,13 @@ function a9(r) { let f = new Array(p); for (let h = 0; h < f.length; h++) { m[s] = h; - let g = ls({ inputs: { x: a }, backend: t10, attrs: { begin: m, size: d } }), x = re({ inputs: { x: g }, backend: t10, attrs: { shape: u } }); + let g = Ls({ inputs: { x: a }, backend: t10, attrs: { begin: m, size: d } }), x = te({ inputs: { x: g }, backend: t10, attrs: { shape: u } }); f[h] = x, l.push(g); } return l.forEach((h) => t10.disposeIntermediateTensorInfo(h)), f; } -var gF = { kernelName: Fs, backendName: "webgl", kernelFunc: a9 }; -var xg = class { +var U3 = { kernelName: da, backendName: "webgl", kernelFunc: Ite }; +var Ag = class { constructor(e, t10) { this.variableNames = ["x", "segmentIds"]; let o = e.windowSize, n = e.batchSize, s = e.inSize, a = e.numSegments, i = a * Math.ceil(s / o); @@ -24164,130 +24706,132 @@ var xg = class { `; } }; -function i9(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, segmentIds: s } = e, { numSegments: a } = o, i = n.shape.length, p = [], u = 0, c = S.getAxesPermutation([u], i), l = n; - c != null && (l = yt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), p.push(l), u = S.getInnerMostAxes(1, i)[0]); - let m = S.segment_util.computeOutShape(l.shape, u, a), d = y.sizeFromShape([l.shape[u]]), f = re({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, d] } }); +function vte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, segmentIds: s } = e, { numSegments: a } = o, i = n.shape.length, p = [], u = 0, c = C.getAxesPermutation([u], i), l = n; + c != null && (l = bt({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), p.push(l), u = C.getInnerMostAxes(1, i)[0]); + let m = C.segment_util.computeOutShape(l.shape, u, a), d = y.sizeFromShape([l.shape[u]]), f = te({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, d] } }); p.push(f); - let h = Ta(n.dtype), g = (w, k, _, E, A) => { - let R = w.shape[0], D = w.shape[1], P = S.segment_util.segOpComputeOptimalWindowSize(D, A), M = { windowSize: P, inSize: D, batchSize: R, numSegments: A }, L = new xg(M, k), V = t10.compileAndRun(L, [w, _], E); - if (p.push(V), V.shape[1] === A) - return V; - let z = Yw({ backend: t10, attrs: { start: 0, stop: A, step: 1, dtype: "float32" } }), U = Qw({ inputs: { x: z }, backend: t10, attrs: { reps: [D / P] } }); - return p.push(z), p.push(U), g(V, k, U, E, A); - }, x = g(f, "unsortedSegmentSum", s, h, a), b = re({ inputs: { x }, backend: t10, attrs: { shape: m } }), C = b; + let h = Za(n.dtype), g = (S, k, _, E, R) => { + let D = S.shape[0], F = S.shape[1], O = C.segment_util.segOpComputeOptimalWindowSize(F, R), M = { windowSize: O, inSize: F, batchSize: D, numSegments: R }, L = new Ag(M, k), B = t10.compileAndRun(L, [S, _], E); + if (p.push(B), B.shape[1] === R) + return B; + let z = fv({ backend: t10, attrs: { start: 0, stop: R, step: 1, dtype: "float32" } }), U = hv({ inputs: { x: z }, backend: t10, attrs: { reps: [F / O] } }); + return p.push(z), p.push(U), g(B, k, U, E, R); + }, x = g(f, "unsortedSegmentSum", s, h, a), b = te({ inputs: { x }, backend: t10, attrs: { shape: m } }), w = b; if (c != null) { p.push(b); - let w = S.getUndoAxesPermutation(c); - C = yt({ inputs: { x: C }, backend: t10, attrs: { perm: w } }); + let S = C.getUndoAxesPermutation(c); + w = bt({ inputs: { x: w }, backend: t10, attrs: { perm: S } }); } - return p.forEach((w) => t10.disposeIntermediateTensorInfo(w)), C; + return p.forEach((S) => t10.disposeIntermediateTensorInfo(S)), w; } -var xF = { kernelName: Tp, backendName: "webgl", kernelFunc: i9 }; -var u9 = [rA, nA, sA, aA, uA, pA, cA, lA, fA, hA, gA, xA, yA, bA, CA, SA, wA, IA, vA, kA, NA, _A, $A, EA, FA, PA, MA, KE, BA, zA, WA, UA, GA, HA, KA, qA, jA, XA, YA, JA, eR, tR, rR, oR, nR, sR, aR, iR, uR, pR, cR, lR, mR, dR, fR, gR, xR, yR, bR, SR, wR, IR, vR, kR, NR, TR, _R, $R, HE, ER, VA, AR, RR, DR, qE, FR, OR, PR, MR, LR, BR, VR, zR, WR, UR, HR, KR, qR, jR, XR, YR, ZR, eD, tD, rD, oD, nD, pD, YE, cD, lD, mD, dD, AA, fD, xD, yD, bD, CD, jE, SD, wD, ID, vD, kD, RA, sD, ND, TD, _D, ZE, $D, ED, AD, RD, DD, FD, OD, PD, MD, LD, BD, VD, zD, WD, UD, GD, TA, uD, HD, KD, qD, jD, XD, YD, QD, ZD, eF, tF, oF, nF, sF, aF, iF, uF, iD, eA, pF, cF, lF, dF, fF, tA, hF, gF, xF, hD]; -for (let r of u9) - ka(r); -var Fe; +var G3 = { kernelName: ji, backendName: "webgl", kernelFunc: vte }; +var kte = [TD, $D, ED, RD, AD, FD, PD, OD, BD, zD, VD, WD, UD, GD, HD, KD, qD, jD, XD, YD, QD, JD, eA, tA, sA, iA, uA, xD, cA, mA, dA, fA, hA, gA, xA, yA, bA, CA, wA, vA, kA, NA, TA, _A, $A, EA, RA, DA, AA, FA, PA, OA, MA, LA, BA, VA, WA, UA, GA, KA, qA, jA, XA, YA, QA, ZA, JA, eF, gD, tF, lA, rF, oF, nF, yD, sF, aF, iF, uF, pF, cF, lF, mF, dF, fF, gF, xF, yF, bF, CF, wF, IF, kF, NF, TF, _F, $F, FF, wD, PF, OF, MF, LF, rA, BF, WF, UF, GF, HF, bD, KF, qF, jF, XF, YF, oA, EF, QF, ZF, JF, ID, e3, t3, r3, o3, n3, s3, a3, i3, u3, p3, c3, l3, m3, d3, f3, h3, ZD, AF, g3, x3, y3, b3, C3, w3, S3, I3, k3, N3, _3, $3, E3, R3, D3, A3, F3, DF, kD, P3, O3, M3, L3, z3, V3, ND, W3, U3, G3, zF]; +for (let r of kte) + Ya(r); +var we; (function(r) { r[r.float32 = 0] = "float32", r[r.int32 = 1] = "int32", r[r.bool = 2] = "bool", r[r.string = 3] = "string", r[r.complex64 = 4] = "complex64"; -})(Fe || (Fe = {})); -var Ui; +})(we || (we = {})); +var bu; (function(r) { r[r.linear = 0] = "linear", r[r.relu = 1] = "relu", r[r.relu6 = 2] = "relu6", r[r.prelu = 3] = "prelu", r[r.leakyrelu = 4] = "leakyrelu", r[r.sigmoid = 5] = "sigmoid", r[r.elu = 6] = "elu"; -})(Ui || (Ui = {})); -var yF; -function p9(r) { - yF = r.wasm.cwrap(ho, null, ["number", "array", "number", "number", "array", "number", "number", "number", "number", "number", "number", "number", "number"]); +})(bu || (bu = {})); +var H3; +function Nte(r) { + H3 = r.wasm.cwrap(bo, null, ["number", "array", "number", "number", "array", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function c9(r) { +function Tte(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s, bias: a, preluActivationWeights: i } = e; if (n.dtype !== "float32" || s.dtype !== "float32") throw new Error("_FusedMatMul for non non-float32 tensors not yet supported."); let { transposeA: p, transposeB: u, activation: c, leakyreluAlpha: l } = o, m = t10.dataIdMap.get(n.dataId).id, d = t10.dataIdMap.get(s.dataId).id, f = 0; if (a != null) { - let A = t10.dataIdMap.get(a.dataId); - if (A.shape.length !== 1) - throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${A.shape.length}.`); - f = A.id; + let R = t10.dataIdMap.get(a.dataId); + if (R.shape.length !== 1) + throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${R.shape.length}.`); + f = R.id; } - let h = i == null ? 0 : t10.dataIdMap.get(i.dataId).id, g = Ui[c]; + let h = i == null ? 0 : t10.dataIdMap.get(i.dataId).id, g = bu[c]; if (g == null) throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`); - let x = p ? n.shape[2] : n.shape[1], b = u ? s.shape[1] : s.shape[2], C = yr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)), w = t10.makeOutput([...C, x, b], n.dtype), k = t10.dataIdMap.get(w.dataId).id, _ = new Uint8Array(new Int32Array(n.shape).buffer), E = new Uint8Array(new Int32Array(s.shape).buffer); - return yF(m, _, n.shape.length, d, E, s.shape.length, p, u, g, f, h, l || 0, k), w; + let x = p ? n.shape[2] : n.shape[1], b = u ? s.shape[1] : s.shape[2], w = Sr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)), S = t10.makeOutput([...w, x, b], n.dtype), k = t10.dataIdMap.get(S.dataId).id, _ = new Uint8Array(new Int32Array(n.shape).buffer), E = new Uint8Array(new Int32Array(s.shape).buffer); + return H3(m, _, n.shape.length, d, E, s.shape.length, p, u, g, f, h, l || 0, k), S; } -var bF = { kernelName: ho, backendName: "wasm", setupFunc: p9, kernelFunc: c9 }; -function Ve(r, e) { +var K3 = { kernelName: bo, backendName: "wasm", setupFunc: Nte, kernelFunc: Tte }; +function Ce(r, e) { let t10; function o(s) { t10 = s.wasm.cwrap(r, null, ["number", "number", "number"]); } function n(s) { let { backend: a, inputs: { x: i } } = s, p = a.dataIdMap.get(i.dataId).id, u = a.makeOutput(i.shape, e || i.dtype), c = a.dataIdMap.get(u.dataId).id; - return y.sizeFromShape(u.shape) === 0 || t10(p, Fe[i.dtype], c), u; + return y.sizeFromShape(u.shape) === 0 || t10(p, we[i.dtype], c), u; } return { kernelName: r, backendName: "wasm", setupFunc: o, kernelFunc: n }; } -var CF = Ve(ys); -function rt(r, e, t10) { +var q3 = Ce(Gs); +var j3 = Ce(zo); +var X3 = Ce(Vo); +function Je(r, e, t10) { let o; function n(a) { o = a.wasm.cwrap(r, null, ["number", "array", "number", "number", "array", "number", "number", "number"]); } function s(a) { - let { backend: i, inputs: p } = a, { a: u, b: c } = p, l = i.dataIdMap.get(u.dataId).id, m = i.dataIdMap.get(c.dataId).id, d = t10 != null ? t10 : u.dtype, f = S.assertAndGetBroadcastShape(u.shape, c.shape), h = i.makeOutput(f, d); + let { backend: i, inputs: p } = a, { a: u, b: c } = p, l = i.dataIdMap.get(u.dataId).id, m = i.dataIdMap.get(c.dataId).id, d = t10 != null ? t10 : u.dtype, f = C.assertAndGetBroadcastShape(u.shape, c.shape), h = i.makeOutput(f, d); if (y.sizeFromShape(f) === 0) return h; let g = new Uint8Array(new Int32Array(u.shape).buffer), x = new Uint8Array(new Int32Array(c.shape).buffer), b = i.dataIdMap.get(h.dataId).id; - return (() => o(l, g, u.shape.length, m, x, c.shape.length, Fe[u.dtype], b))(), h; + return (() => o(l, g, u.shape.length, m, x, c.shape.length, we[u.dtype], b))(), h; } return { kernelName: r, backendName: "wasm", setupFunc: n, kernelFunc: s }; } -var l9 = true; -var SF = rt(eo, l9); -var wF; -function m9(r) { - wF = r.wasm.cwrap(Po, null, ["array", "number", "number", "number"]); +var _te = true; +var Y3 = Je(no, _te); +var Q3; +function $te(r) { + Q3 = r.wasm.cwrap(Wo, null, ["array", "number", "number", "number"]); } -function d9(r) { +function Ete(r) { let { inputs: e, backend: t10 } = r, o = t10.makeOutput(e[0].shape, e[0].dtype); if (y.sizeFromShape(o.shape) === 0) return o; let n = e.map((i) => t10.dataIdMap.get(i.dataId).id), s = new Uint8Array(new Int32Array(n).buffer), a = t10.dataIdMap.get(o.dataId).id; - return wF(s, n.length, Fe[o.dtype], a), o; + return Q3(s, n.length, we[o.dtype], a), o; } -var IF = { kernelName: Po, backendName: "wasm", setupFunc: m9, kernelFunc: d9 }; -function Hu(r) { +var Z3 = { kernelName: Wo, backendName: "wasm", setupFunc: $te, kernelFunc: Ete }; +function vp(r) { let { inputs: { x: e }, backend: t10 } = r; if (e.dtype === "string") - return nr(t10.readSync(e.dataId), e.shape, e.dtype); + return ir(t10.readSync(e.dataId), e.shape, e.dtype); let o = t10.makeOutput(e.shape, e.dtype), n = t10.typedArrayFromHeap(e); return t10.typedArrayFromHeap(o).set(n), o; } -var vF = { kernelName: mo, backendName: "wasm", kernelFunc: Hu }; -var kF; -function f9(r) { - kF = r.wasm.cwrap(ro, null, ["number", "array", "number", "number", "number", "array", "number"]); +var J3 = { kernelName: xo, backendName: "wasm", kernelFunc: vp }; +var eP; +function Rte(r) { + eP = r.wasm.cwrap(ao, null, ["number", "array", "number", "number", "number", "array", "number"]); } -function uo(r) { - let { inputs: e, backend: t10, attrs: o } = r, [n, s] = g9(e.x.shape, o.perm), a = true; +function mo(r) { + let { inputs: e, backend: t10, attrs: o } = r, [n, s] = Ate(e.x.shape, o.perm), a = true; for (let f = 0; f < s.length; f++) s[f] !== f && (a = false); - let i = h9(e.x.shape, o.perm), p = { dataId: e.x.dataId, shape: n, dtype: e.x.dtype }; + let i = Dte(e.x.shape, o.perm), p = { dataId: e.x.dataId, shape: n, dtype: e.x.dtype }; if (a) { - let f = Hu({ inputs: e, backend: t10 }); + let f = vp({ inputs: e, backend: t10 }); return f.shape = i, f; } let u = t10.makeOutput(i, p.dtype), c = t10.dataIdMap.get(p.dataId).id, l = t10.dataIdMap.get(u.dataId).id, m = new Uint8Array(new Int32Array(s).buffer), d = new Uint8Array(new Int32Array(p.shape).buffer); - return kF(c, d, p.shape.length, Fe[p.dtype], l, m, s.length), u; + return eP(c, d, p.shape.length, we[p.dtype], l, m, s.length), u; } -function h9(r, e) { +function Dte(r, e) { let t10 = new Array(r.length); for (let o = 0; o < t10.length; o++) t10[o] = r[e[o]]; return t10; } -function g9(r, e) { +function Ate(r, e) { let t10 = [], o = []; for (let n = 0; n < r.length; ++n) r[n] !== 1 && t10.push(r[n]), r[e[n]] !== 1 && o.push(e[n]); @@ -24299,145 +24843,172 @@ function g9(r, e) { } return [t10, o]; } -var NF = { kernelName: ro, backendName: "wasm", kernelFunc: uo, setupFunc: f9 }; -function kr(r, e, t10) { - let o = r.shape, n = r.shape.length, s = y.parseAxisParam(e, o), a = s, i = S.getAxesPermutation(a, n), p = null, u = false; +var tP = { kernelName: ao, backendName: "wasm", kernelFunc: mo, setupFunc: Rte }; +function Tr(r, e, t10) { + let o = r.shape, n = r.shape.length, s = y.parseAxisParam(e, o), a = s, i = C.getAxesPermutation(a, n), p = null, u = false; if (i != null) { let c = new Array(n); for (let d = 0; d < c.length; d++) c[d] = o[i[d]]; - a = S.getInnerMostAxes(a.length, n), p = uo({ inputs: { x: r }, attrs: { perm: i }, backend: t10 }); + a = C.getInnerMostAxes(a.length, n), p = mo({ inputs: { x: r }, attrs: { perm: i }, backend: t10 }); let l = t10.dataIdMap.get(r.dataId).id; t10.dataIdMap.get(p.dataId).id !== l && (u = true); } return { transposed: p, originalAxes: s, axes: a, inputWasTransposed: u }; } -var TF; -function x9(r) { - TF = r.wasm.cwrap(Mo, null, ["number, number, number"]); +var rP; +function Fte(r) { + rP = r.wasm.cwrap(Uo, null, ["number, number, number"]); } -function y9(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e); +function Pte(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e); if (d) { - let C = e.dataIdMap.get(c.dataId).id; - u = c, p = C; + let w = e.dataIdMap.get(c.dataId).id; + u = c, p = w; } let f = u.shape.length; - S.assertAxesAreInnerMostDims("all", l, f); - let [h, g] = S.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); + C.assertAxesAreInnerMostDims("all", l, f); + let [h, g] = C.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - TF(p, x, C); + let w = e.dataIdMap.get(b.dataId).id; + rP(p, x, w); } if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; } return b; } -var _F = { kernelName: Mo, backendName: "wasm", setupFunc: x9, kernelFunc: y9 }; -var $F; -function b9(r) { - $F = r.wasm.cwrap(Lo, null, ["number, number, number"]); +var oP = { kernelName: Uo, backendName: "wasm", setupFunc: Fte, kernelFunc: Pte }; +var nP; +function Ote(r) { + nP = r.wasm.cwrap(Go, null, ["number, number, number"]); } -function C9(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e); +function Mte(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e); if (d) { - let C = e.dataIdMap.get(c.dataId).id; - u = c, p = C; + let w = e.dataIdMap.get(c.dataId).id; + u = c, p = w; } let f = u.shape.length; - S.assertAxesAreInnerMostDims("any", l, f); - let [h, g] = S.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); + C.assertAxesAreInnerMostDims("any", l, f); + let [h, g] = C.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - $F(p, x, C); + let w = e.dataIdMap.get(b.dataId).id; + nP(p, x, w); } if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; } return b; } -var EF = { kernelName: Lo, backendName: "wasm", setupFunc: b9, kernelFunc: C9 }; -var AF; -function S9(r) { - AF = r.wasm.cwrap(Bo, null, ["number", "number", "number", "number", "number"]); -} -function w9(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n } = o, { x: s } = t10, a = e.dataIdMap.get(s.dataId).id, i = a, p = s, { transposed: u, axes: c, inputWasTransposed: l } = kr(s, n, e); - if (l) { - let x = e.dataIdMap.get(u.dataId).id; - x !== a && (p = u, i = x); +var sP = { kernelName: Go, backendName: "wasm", setupFunc: Ote, kernelFunc: Mte }; +function Fg(r) { + let e; + function t10(n) { + e = n.wasm.cwrap(r, null, ["number", "number", "number", "number", "number"]); } - let m = p.shape.slice(0, -1), d = e.makeOutput(m, "int32"), f = e.dataIdMap.get(d.dataId).id, h = y.sizeFromShape(d.shape), g = p.shape[c[0]]; - return AF(i, Fe[p.dtype], h, g, f), l && e.disposeData(u.dataId), d; + function o(n) { + let { backend: s, inputs: a, attrs: i } = n, { axis: p } = i, { x: u } = a, c = s.dataIdMap.get(u.dataId).id, l = c, m = u, { transposed: d, axes: f, inputWasTransposed: h } = Tr(u, p, s); + if (h) { + let k = s.dataIdMap.get(d.dataId).id; + k !== c && (m = d, l = k); + } + let g = m.shape.slice(0, -1), x = s.makeOutput(g, "int32"), b = s.dataIdMap.get(x.dataId).id, w = y.sizeFromShape(x.shape), S = m.shape[f[0]]; + return e(l, we[m.dtype], w, S, b), h && s.disposeData(d.dataId), x; + } + return { kernelName: r, backendName: "wasm", setupFunc: t10, kernelFunc: o }; } -var RF = { kernelName: Bo, backendName: "wasm", kernelFunc: w9, setupFunc: S9 }; -var DF; -function I9(r) { - DF = r.wasm.cwrap(Vo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var aP = Fg(Hs); +var iP = Fg(Ks); +var uP = Ce(Ho); +var pP = Ce(Ko); +var cP = Ce(qo); +var lP = Je(Xo, false); +var mP = Ce(jo); +var dP; +function Lte(r) { + dP = r.wasm.cwrap(Yo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function v9(r) { - let { inputs: e, attrs: t10, backend: o } = r, n = e.x, s = o.dataIdMap.get(n.dataId).id, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = t10, c = S.computePool2DInfo(n.shape, a, i, 1, p, u), l = c.filterHeight, m = c.filterWidth, d = c.padInfo.top, f = c.padInfo.right, h = c.padInfo.bottom, g = c.padInfo.left, x = c.strideHeight, b = c.strideWidth, C = c.inChannels; +function Bte(r) { + let { inputs: e, attrs: t10, backend: o } = r, n = e.x, s = o.dataIdMap.get(n.dataId).id, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = t10, c = C.computePool2DInfo(n.shape, a, i, 1, p, u), l = c.filterHeight, m = c.filterWidth, d = c.padInfo.top, f = c.padInfo.right, h = c.padInfo.bottom, g = c.padInfo.left, x = c.strideHeight, b = c.strideWidth, w = c.inChannels; if (c.dataFormat !== "channelsLast") throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`); if (c.dilationWidth !== 1 || c.dilationHeight !== 1) throw new Error(`was backend only supports average pooling with dilation = [1, 1], got [${c.dilationHeight}, ${c.dilationWidth}].`); - let w = o.makeOutput(c.outShape, "float32"), k = o.dataIdMap.get(w.dataId).id; - return DF(s, n.shape[0], n.shape[1], n.shape[2], l, m, d, f, h, g, x, b, C, k), w; + let S = o.makeOutput(c.outShape, "float32"), k = o.dataIdMap.get(S.dataId).id; + return dP(s, n.shape[0], n.shape[1], n.shape[2], l, m, d, f, h, g, x, b, w, k), S; } -var FF = { kernelName: Vo, backendName: "wasm", setupFunc: I9, kernelFunc: v9 }; -function Lt(r) { +var fP = { kernelName: Yo, backendName: "wasm", setupFunc: Lte, kernelFunc: Bte }; +var hP; +function zte(r) { + hP = r.wasm.cwrap("AvgPool3D", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Vte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o, c = C.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.makeOutput(c.outShape, n.dtype); + return hP(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(l.dataId).id, c.batchSize, c.inChannels, c.inDepth, c.inHeight, c.inWidth, c.outDepth, c.outHeight, c.outWidth, c.strideDepth, c.strideHeight, c.strideWidth, c.dilationDepth, c.dilationHeight, c.dilationWidth, c.effectiveFilterDepth, c.effectiveFilterHeight, c.effectiveFilterWidth, c.padInfo.front, c.padInfo.top, c.padInfo.left), l; +} +var gP = { kernelName: qs, backendName: "wasm", setupFunc: zte, kernelFunc: Vte }; +var xP; +function Wte(r) { + xP = r.wasm.cwrap("AvgPool3DGrad", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Ute(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = o, c = C.computePool3DInfo(s.shape, a, i, 1, p, u), l = t10.makeOutput(s.shape, s.dtype); + return xP(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(l.dataId).id, c.batchSize, c.inChannels, c.inDepth, c.inHeight, c.inWidth, c.outDepth, c.outHeight, c.outWidth, c.strideDepth, c.strideHeight, c.strideWidth, c.dilationDepth, c.dilationHeight, c.dilationWidth, c.effectiveFilterDepth, c.effectiveFilterHeight, c.effectiveFilterWidth, c.padInfo.front, c.padInfo.top, c.padInfo.left, c.filterDepth, c.filterHeight, c.filterWidth), l; +} +var yP = { kernelName: Ni, backendName: "wasm", setupFunc: Wte, kernelFunc: Ute }; +function zt(r) { let { inputs: e, attrs: t10 } = r, { x: o } = e, { shape: n } = t10, s = y.sizeFromShape(o.shape), a = y.inferFromImplicitShape(n, s); return y.assert(s === y.sizeFromShape(a), () => `new shape: ${a}, old shape: ${o.shape}. New shape and old shape must have the same number of elements.`), r.backend.incRef(o.dataId), { dataId: o.dataId, shape: a, dtype: o.dtype }; } -var OF = { kernelName: _s, backendName: "wasm", kernelFunc: Lt }; -var PF; -function k9(r) { - PF = r.wasm.cwrap(zo, null, ["number", "array", "number", "number", "array", "number", "number", "number", "number"]); +var bP = { kernelName: ia, backendName: "wasm", kernelFunc: zt }; +var CP; +function Gte(r) { + CP = r.wasm.cwrap(Qo, null, ["number", "array", "number", "number", "array", "number", "number", "number", "number"]); } -function N9(r) { +function Hte(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s } = e, { transposeA: a, transposeB: i } = o; if (n.dtype !== "float32" || s.dtype !== "float32") throw new Error("BatchMatMul for non non-float32 tensors not yet supported."); - let p = n.shape.length, u = s.shape.length, c = a ? n.shape[p - 2] : n.shape[p - 1], l = i ? s.shape[u - 1] : s.shape[u - 2], m = a ? n.shape[p - 1] : n.shape[p - 2], d = i ? s.shape[u - 2] : s.shape[u - 1], f = n.shape.slice(0, -2), h = s.shape.slice(0, -2), g = y.sizeFromShape(f), x = y.sizeFromShape(h), C = yr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)).concat([m, d]); + let p = n.shape.length, u = s.shape.length, c = a ? n.shape[p - 2] : n.shape[p - 1], l = i ? s.shape[u - 1] : s.shape[u - 2], m = a ? n.shape[p - 1] : n.shape[p - 2], d = i ? s.shape[u - 2] : s.shape[u - 1], f = n.shape.slice(0, -2), h = s.shape.slice(0, -2), g = y.sizeFromShape(f), x = y.sizeFromShape(h), w = Sr.assertAndGetBroadcastShape(n.shape.slice(0, -2), s.shape.slice(0, -2)).concat([m, d]); y.assert(c === l, () => `Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`); - let w = a ? [g, c, m] : [g, m, c], k = i ? [x, d, l] : [x, l, d], _ = Lt({ inputs: { x: n }, backend: t10, attrs: { shape: w } }), E = Lt({ inputs: { x: s }, backend: t10, attrs: { shape: k } }), A = t10.dataIdMap.get(_.dataId).id, R = t10.dataIdMap.get(E.dataId).id, D = a ? _.shape[2] : _.shape[1], P = i ? E.shape[1] : E.shape[2], M = Math.max(g, x), L = t10.makeOutput([M, D, P], _.dtype), V = t10.dataIdMap.get(L.dataId).id, z = new Uint8Array(new Int32Array(_.shape).buffer), U = new Uint8Array(new Int32Array(E.shape).buffer); - return PF(A, z, _.shape.length, R, U, E.shape.length, a, i, V), t10.disposeData(_.dataId), t10.disposeData(E.dataId), L.shape = C, L; + let S = a ? [g, c, m] : [g, m, c], k = i ? [x, d, l] : [x, l, d], _ = zt({ inputs: { x: n }, backend: t10, attrs: { shape: S } }), E = zt({ inputs: { x: s }, backend: t10, attrs: { shape: k } }), R = t10.dataIdMap.get(_.dataId).id, D = t10.dataIdMap.get(E.dataId).id, F = a ? _.shape[2] : _.shape[1], O = i ? E.shape[1] : E.shape[2], M = Math.max(g, x), L = t10.makeOutput([M, F, O], _.dtype), B = t10.dataIdMap.get(L.dataId).id, z = new Uint8Array(new Int32Array(_.shape).buffer), U = new Uint8Array(new Int32Array(E.shape).buffer); + return CP(R, z, _.shape.length, D, U, E.shape.length, a, i, B), t10.disposeData(_.dataId), t10.disposeData(E.dataId), L.shape = w, L; } -var MF = { kernelName: zo, backendName: "wasm", setupFunc: k9, kernelFunc: N9 }; -function Eo(r) { - let { inputs: { x: e }, attrs: { begin: t10, size: o }, backend: n } = r, [s, a] = ut.parseSliceParams(e, t10, o), i = ut.isSliceContinous(e.shape, s, a), p = n.readSync(e.dataId), u = n.makeOutput(a, e.dtype), c = y.computeStrides(e.shape), l = n.dataIdMap.get(u.dataId); +var wP = { kernelName: Qo, backendName: "wasm", setupFunc: Gte, kernelFunc: Hte }; +function Ao(r) { + let { inputs: { x: e }, attrs: { begin: t10, size: o }, backend: n } = r, [s, a] = ct.parseSliceParams(e, t10, o), i = ct.isSliceContinous(e.shape, s, a), p = n.readSync(e.dataId), u = n.makeOutput(a, e.dtype), c = y.computeStrides(e.shape), l = n.dataIdMap.get(u.dataId); if (i) { - let f = ut.computeFlatOffset(s, c); + let f = ct.computeFlatOffset(s, c); return e.dtype === "string" ? l.stringBytes = p.slice(f, f + y.sizeFromShape(a)) : n.typedArrayFromHeap(u).set(p.subarray(f, f + y.sizeFromShape(a))), u; } if (e.dtype === "string") { - let f = $u(p, s, a, e.shape, e.dtype); + let f = ip(p, s, a, e.shape, e.dtype); return l.stringBytes = f, u; } let m = n.typedArrayFromHeap(u), d = e.shape.length; if (d === 2) - T9(p, c[0], m, s, a); + Kte(p, c[0], m, s, a); else if (d === 3) - _9(p, c[0], c[1], m, s, a); + qte(p, c[0], c[1], m, s, a); else if (d === 4) - $9(p, c[0], c[1], c[2], m, s, a); + jte(p, c[0], c[1], c[2], m, s, a); else { - let f = $u(p, s, a, e.shape, e.dtype); + let f = ip(p, s, a, e.shape, e.dtype); m.set(f); } return u; } -function T9(r, e, t10, o, n) { +function Kte(r, e, t10, o, n) { let s = 0, a = o[0], i = o[1], p = a + n[0]; for (let u = a; u < p; u++) { let c = u * e + i; t10.set(r.subarray(c, c + n[1]), s), s += n[1]; } } -function _9(r, e, t10, o, n, s) { +function qte(r, e, t10, o, n, s) { let a = 0, i = n[0], p = n[1], u = n[2], c = i + s[0], l = p + s[1]; for (let m = i; m < c; m++) for (let d = p; d < l; d++) { @@ -24445,7 +25016,7 @@ function _9(r, e, t10, o, n, s) { o.set(r.subarray(f, f + s[2]), a), a += s[2]; } } -function $9(r, e, t10, o, n, s, a) { +function jte(r, e, t10, o, n, s, a) { let i = 0, p = s[0], u = s[1], c = s[2], l = p + a[0], m = u + a[1], d = c + a[2], f = s[3]; for (let h = p; h < l; h++) for (let g = u; g < m; g++) @@ -24454,46 +25025,63 @@ function $9(r, e, t10, o, n, s, a) { n.set(r.subarray(b, b + a[3]), i), i += a[3]; } } -var LF = { kernelName: Es, backendName: "wasm", kernelFunc: Eo }; -function E9(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, crops: a } = o, i = s.reduce((x, b) => x * b), p = S.getReshaped(n.shape, s, i), u = S.getPermuted(p.length, s.length), c = S.getReshapedPermuted(n.shape, s, i), l = S.getSliceBeginCoords(a, s.length), m = S.getSliceSize(c, a, s.length), d = Lt({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), f = uo({ inputs: { x: d }, backend: t10, attrs: { perm: u } }), h = Lt({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = Eo({ inputs: { x: h }, backend: t10, attrs: { begin: l, size: m } }); +var SP = { kernelName: pa, backendName: "wasm", kernelFunc: Ao }; +function Xte(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, crops: a } = o, i = s.reduce((x, b) => x * b), p = C.getReshaped(n.shape, s, i), u = C.getPermuted(p.length, s.length), c = C.getReshapedPermuted(n.shape, s, i), l = C.getSliceBeginCoords(a, s.length), m = C.getSliceSize(c, a, s.length), d = zt({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), f = mo({ inputs: { x: d }, backend: t10, attrs: { perm: u } }), h = zt({ inputs: { x: f }, backend: t10, attrs: { shape: c } }), g = Ao({ inputs: { x: h }, backend: t10, attrs: { begin: l, size: m } }); return t10.disposeData(d.dataId), t10.disposeData(f.dataId), t10.disposeData(d.dataId), g; } -var BF = { kernelName: bs, backendName: "wasm", kernelFunc: E9 }; -function ms(r) { +var IP = { kernelName: js, backendName: "wasm", kernelFunc: Xte }; +var vP; +function Yte(r) { + vP = r.wasm.cwrap(Zo, null, ["number", "number", "boolean", "number", "number", "number"]); +} +function Qte(r) { + let { backend: e, inputs: t10, attrs: o } = r, { x: n, weights: s } = t10, { size: a } = o, i = s.shape.reduce((l, m) => l * m, 1) !== 0, p = n.shape.length === 1 ? [a] : [n.shape[0], a], u = e.makeOutput(p, s.dtype); + function c(l) { + return e.dataIdMap.get(l.dataId).id; + } + return vP(c(n), a, i, c(s), we[s.dtype], c(u)), u; +} +var kP = { kernelName: Zo, backendName: "wasm", setupFunc: Yte, kernelFunc: Qte }; +function Zte(r) { + let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e, s = t10.typedArrayFromHeap(o), a = t10.typedArrayFromHeap(n), i = C.assertAndGetBroadcastShape(Array.from(s), Array.from(a)); + return t10.makeOutput([i.length], "int32", void 0, new Int32Array(i)); +} +var NP = { kernelName: Xs, backendName: "wasm", kernelFunc: Zte }; +function Pr(r) { let { inputs: { x: e }, attrs: { dtype: t10 }, backend: o } = r, n = o.makeOutput(e.shape, t10), s = o.typedArrayFromHeap(e); return o.typedArrayFromHeap(n).set(s), n; } -var VF = { kernelName: co, backendName: "wasm", kernelFunc: ms }; -var zF = Ve(Wo); -var WF; -function A9(r) { - WF = r.wasm.cwrap(lo, null, ["number", "number", "number", "number"]); +var TP = { kernelName: ho, backendName: "wasm", kernelFunc: Pr }; +var _P = Ce(Jo); +var $P; +function Jte(r) { + $P = r.wasm.cwrap(go, null, ["number", "number", "number", "number"]); } -function R9(r) { +function ere(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { clipValueMin: s, clipValueMax: a } = o, i = t10.dataIdMap.get(n.dataId).id, p = t10.makeOutput(n.shape, n.dtype), u = t10.dataIdMap.get(p.dataId).id; - return WF(i, s, a, u), p; + return $P(i, s, a, u), p; } -var UF = { kernelName: lo, backendName: "wasm", setupFunc: A9, kernelFunc: R9 }; -function Zw(r) { +var EP = { kernelName: go, backendName: "wasm", setupFunc: Jte, kernelFunc: ere }; +function gv(r) { let { inputs: e, backend: t10 } = r, o = y.parseAxisParam(r.attrs.axis, e[0].shape)[0], n = e.map((d) => d.shape); - S.assertParamsConsistent(n, o); - let s = S.computeOutShape(e.map((d) => d.shape), o), a = e.filter((d) => y.sizeFromShape(d.shape) > 0); + C.assertParamsConsistent(n, o); + let s = C.computeOutShape(e.map((d) => d.shape), o), a = e.filter((d) => y.sizeFromShape(d.shape) > 0); if (a.length === 1) - return Hu({ inputs: { x: a[0] }, backend: t10 }); + return vp({ inputs: { x: a[0] }, backend: t10 }); let i = t10.makeOutput(s, e[0].dtype); if (y.sizeFromShape(s) === 0) return i; if (a[0].dtype === "string") { - let d = a.map((C) => { - let k = [-1, y.sizeFromShape(C.shape.slice(o))]; - return Lt({ inputs: { x: C }, backend: t10, attrs: { shape: k } }); - }), f = d.map((C) => ({ vals: t10.readSync(C.dataId), shape: C.shape })); - s = S.computeOutShape(d.map((C) => C.shape), 1); - let h = d[0].shape[0] === 1, g = Nu(f, s, e[0].dtype, h), x = S.computeOutShape(a.map((C) => C.shape), o); + let d = a.map((w) => { + let k = [-1, y.sizeFromShape(w.shape.slice(o))]; + return zt({ inputs: { x: w }, backend: t10, attrs: { shape: k } }); + }), f = d.map((w) => ({ vals: t10.readSync(w.dataId), shape: w.shape })); + s = C.computeOutShape(d.map((w) => w.shape), 1); + let h = d[0].shape[0] === 1, g = np(f, s, e[0].dtype, h), x = C.computeOutShape(a.map((w) => w.shape), o); i.shape = x; let b = t10.dataIdMap.get(i.dataId); - return b.stringBytes = S.fromStringArrayToUint8(g), d.forEach((C) => t10.disposeData(C.dataId)), i; + return b.stringBytes = C.fromStringArrayToUint8(g), d.forEach((w) => t10.disposeData(w.dataId)), i; } let p = y.sizeFromShape(a[0].shape.slice(0, o)), u = 0, c = a.map((d) => { let f = y.sizeFromShape(d.shape.slice(o)); @@ -24508,618 +25096,829 @@ function Zw(r) { } return i; } -var GF = { kernelName: Cs, backendName: "wasm", kernelFunc: Zw }; -var HF; -function D9(r) { - HF = r.wasm.cwrap(Uo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var RP = { kernelName: Ys, backendName: "wasm", kernelFunc: gv }; +var DP; +function tre(r) { + DP = r.wasm.cwrap(en, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function F9(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, a = o.dataIdMap.get(n.dataId).id, i = o.dataIdMap.get(s.dataId).id, { strides: p, dilations: u, pad: c, dimRoundingMode: l, dataFormat: m } = t10, d = S.convertConv2DDataFormat(m), f = S.computeConv2DInfo(n.shape, s.shape, p, u, c, l, false, d), h = f.filterHeight, g = f.filterWidth, x = f.padInfo.top, b = f.padInfo.right, C = f.padInfo.bottom, w = f.padInfo.left, k = f.dilationHeight, _ = f.dilationWidth, E = f.strideHeight, A = f.strideWidth, R = f.inChannels, D = f.outChannels, P = f.padInfo.type === "SAME" ? 1 : 0; +function rre(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, a = o.dataIdMap.get(n.dataId).id, i = o.dataIdMap.get(s.dataId).id, { strides: p, dilations: u, pad: c, dimRoundingMode: l, dataFormat: m } = t10, d = C.convertConv2DDataFormat(m), f = C.computeConv2DInfo(n.shape, s.shape, p, u, c, l, false, d), h = f.filterHeight, g = f.filterWidth, x = f.padInfo.top, b = f.padInfo.right, w = f.padInfo.bottom, S = f.padInfo.left, k = f.dilationHeight, _ = f.dilationWidth, E = f.strideHeight, R = f.strideWidth, D = f.inChannels, F = f.outChannels, O = f.padInfo.type === "SAME" ? 1 : 0; if (f.dataFormat !== "channelsLast") throw new Error(`wasm backend Conv2D does not support dataFormat:'${f.dataFormat}'. Please use 'channelsLast'.`); let M = o.makeOutput(f.outShape, "float32"), L = o.dataIdMap.get(M.dataId).id; - return HF(a, n.shape[0], n.shape[1], n.shape[2], i, h, g, x, b, C, w, P, k, _, E, A, R, D, L), M; + return DP(a, n.shape[0], n.shape[1], n.shape[2], i, h, g, x, b, w, S, O, k, _, E, R, D, F, L), M; } -var KF = { kernelName: Uo, backendName: "wasm", setupFunc: D9, kernelFunc: F9 }; -var qF; -function O9(r) { - qF = r.wasm.cwrap(Go, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var AP = { kernelName: en, backendName: "wasm", setupFunc: tre, kernelFunc: rre }; +var FP; +function ore(r) { + FP = r.wasm.cwrap(tn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function P9(r) { - let { backend: e, inputs: t10, attrs: o } = r, { dy: n, filter: s } = t10, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, inputShape: c } = o, l = 1, m = S.convertConv2DDataFormat(p), d = S.computeConv2DInfo(c, s.shape, a, l, i, u, false, m), { batchSize: f, filterHeight: h, filterWidth: g, inChannels: x, inHeight: b, inWidth: C, outChannels: w, outHeight: k, outWidth: _, strideHeight: E, strideWidth: A } = d, R = h - 1 - d.padInfo.top, D = g - 1 - d.padInfo.left, P = d.dataFormat === "channelsLast", M = y.computeStrides(d.inShape), L = y.computeStrides(n.shape), [V, z, U] = y.computeStrides(s.shape), K = M[0], H = P ? M[1] : M[2], q = P ? M[2] : 1, Z = P ? 1 : M[1], ee = L[0], oe = P ? L[1] : L[2], J = P ? L[2] : 1, te = P ? 1 : L[1], ie = e.makeOutput(d.inShape, "float32"), ce = e.dataIdMap.get(ie.dataId).id, ye = e.dataIdMap.get(n.dataId).id, Ne = e.dataIdMap.get(s.dataId).id; - return qF(ye, Ne, f, h, g, b, C, x, k, _, w, E, A, R, D, V, z, U, K, H, q, Z, ee, oe, J, te, ce), ie; +function nre(r) { + let { backend: e, inputs: t10, attrs: o } = r, { dy: n, filter: s } = t10, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, inputShape: c } = o, l = 1, m = C.convertConv2DDataFormat(p), d = C.computeConv2DInfo(c, s.shape, a, l, i, u, false, m), { batchSize: f, filterHeight: h, filterWidth: g, inChannels: x, inHeight: b, inWidth: w, outChannels: S, outHeight: k, outWidth: _, strideHeight: E, strideWidth: R } = d, D = h - 1 - d.padInfo.top, F = g - 1 - d.padInfo.left, O = d.dataFormat === "channelsLast", M = y.computeStrides(d.inShape), L = y.computeStrides(n.shape), [B, z, U] = y.computeStrides(s.shape), j = M[0], H = O ? M[1] : M[2], X = O ? M[2] : 1, J = O ? 1 : M[1], re = L[0], ne = O ? L[1] : L[2], ee = O ? L[2] : 1, oe = O ? 1 : L[1], ie = e.makeOutput(d.inShape, "float32"), le = e.dataIdMap.get(ie.dataId).id, ye = e.dataIdMap.get(n.dataId).id, _e = e.dataIdMap.get(s.dataId).id; + return FP(ye, _e, f, h, g, b, w, x, k, _, S, E, R, D, F, B, z, U, j, H, X, J, re, ne, ee, oe, le), ie; } -var jF = { kernelName: Go, backendName: "wasm", setupFunc: O9, kernelFunc: P9 }; -var XF = Ve(Ho); -var YF = Ve(Ko); -var Jw; +var PP = { kernelName: tn, backendName: "wasm", setupFunc: ore, kernelFunc: nre }; +var OP; +function sre(r) { + OP = r.wasm.cwrap(rn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function are(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o; + if (n.dtype !== "float32") + throw new Error(`Tensor x must have dtype float32, got ${n.dtype}`); + if (s.dtype !== "float32") + throw new Error(`Tensor filter must have dtype float32, got ${s.dtype}`); + let u = C.computeConv3DInfo(n.shape, s.shape, a, p, i), c = t10.makeOutput(u.outShape, n.dtype); + return OP(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(c.dataId).id, u.batchSize, u.inDepth, u.inHeight, u.inWidth, u.inChannels, u.outDepth, u.outHeight, u.outWidth, u.outChannels, u.strideDepth, u.strideHeight, u.strideWidth, u.dilationDepth, u.dilationHeight, u.dilationWidth, u.filterDepth, u.filterHeight, u.filterWidth, u.padInfo.front, u.padInfo.top, u.padInfo.left), c; +} +var MP = { kernelName: rn, backendName: "wasm", setupFunc: sre, kernelFunc: are }; +var LP; +function ire(r) { + LP = r.wasm.cwrap(za, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function ure(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, filterShape: p } = o; + if (n.dtype !== "float32") + throw new Error(`Tensor dy must have dtype float32, got ${n.dtype}`); + if (s.dtype !== "float32") + throw new Error(`Tensor filter must have dtype float32, got ${s.dtype}`); + let u = C.computeConv3DInfo(n.shape, p, a, 1, i), c = t10.makeOutput(u.filterShape, s.dtype); + return LP(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(c.dataId).id, u.batchSize, u.inDepth, u.inHeight, u.inWidth, u.inChannels, u.outDepth, u.outHeight, u.outWidth, u.outChannels, u.strideDepth, u.strideHeight, u.strideWidth, u.dilationDepth, u.dilationHeight, u.dilationWidth, u.filterDepth, u.filterHeight, u.filterWidth, u.padInfo.front, u.padInfo.top, u.padInfo.left), c; +} +var BP = { kernelName: za, backendName: "wasm", setupFunc: ire, kernelFunc: ure }; +var zP; +function pre(r) { + zP = r.wasm.cwrap(on, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function cre(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { pad: a, strides: i, inputShape: p } = o; + if (n.dtype !== "float32") + throw new Error(`Tensor dy must have dtype float32, got ${n.dtype}`); + if (s.dtype !== "float32") + throw new Error(`Tensor filter must have dtype float32, got ${s.dtype}`); + let u = C.computeConv3DInfo(p, s.shape, i, 1, a), c = t10.makeOutput(u.inShape, n.dtype); + return zP(t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(c.dataId).id, u.batchSize, u.inDepth, u.inHeight, u.inWidth, u.inChannels, u.outDepth, u.outHeight, u.outWidth, u.outChannels, u.strideDepth, u.strideHeight, u.strideWidth, u.dilationDepth, u.dilationHeight, u.dilationWidth, u.filterDepth, u.filterHeight, u.filterWidth, u.padInfo.front, u.padInfo.top, u.padInfo.left), c; +} +var VP = { kernelName: on, backendName: "wasm", setupFunc: pre, kernelFunc: cre }; +var WP = Ce(nn); +var UP = Ce(sn); +var xv; (function(r) { r[r.bilinear = 0] = "bilinear", r[r.nearest = 1] = "nearest"; -})(Jw || (Jw = {})); -var QF; -function M9(r) { - QF = r.wasm.cwrap(Xo, null, ["number", "number", "number", "number", "array", "number", "number", "number", "number", "number"]); +})(xv || (xv = {})); +var GP; +function lre(r) { + GP = r.wasm.cwrap(pn, null, ["number", "number", "number", "number", "array", "number", "number", "number", "number", "number"]); } -function L9(r) { +function mre(r) { let { backend: e, inputs: t10, attrs: o } = r, { method: n, extrapolationValue: s, cropSize: a } = o, { image: i, boxes: p, boxInd: u } = t10, c = p.shape[0], [l, m] = a, d = [c, l, m, i.shape[3]], f = e.dataIdMap.get(i.dataId), h; - i.dtype !== "float32" && (h = ms({ backend: e, inputs: { x: i }, attrs: { dtype: "float32" } }), f = e.dataIdMap.get(h.dataId)); - let g = f.id, x = e.dataIdMap.get(p.dataId).id, b = e.dataIdMap.get(u.dataId).id, C = e.makeOutput(d, "float32"), w = e.dataIdMap.get(C.dataId).id, k = new Uint8Array(new Int32Array(i.shape).buffer); - return QF(g, x, b, c, k, l, m, Jw[n], s, w), h != null && e.disposeData(h.dataId), C; + i.dtype !== "float32" && (h = Pr({ backend: e, inputs: { x: i }, attrs: { dtype: "float32" } }), f = e.dataIdMap.get(h.dataId)); + let g = f.id, x = e.dataIdMap.get(p.dataId).id, b = e.dataIdMap.get(u.dataId).id, w = e.makeOutput(d, "float32"), S = e.dataIdMap.get(w.dataId).id, k = new Uint8Array(new Int32Array(i.shape).buffer); + return GP(g, x, b, c, k, l, m, xv[n], s, S), h != null && e.disposeData(h.dataId), w; } -var ZF = { kernelName: Xo, backendName: "wasm", setupFunc: M9, kernelFunc: L9 }; -var JF; -function B9(r) { - JF = r.wasm.cwrap(qo, null, ["number", "number", "number", "number", "number", "number"]); +var HP = { kernelName: pn, backendName: "wasm", setupFunc: lre, kernelFunc: mre }; +var KP; +function dre(r) { + KP = r.wasm.cwrap(an, null, ["number", "number", "number", "number", "number", "number"]); } -function V9(r) { +function fre(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o, p = n.shape.length; y.assert(n.dtype === "float32" || n.dtype === "int32", () => `cumprod does not support ${n.dtype} tensors in the WASM backend`); - let u = S.getAxesPermutation([s], p), c = n; - u !== null && (c = uo({ inputs: { x: n }, attrs: { perm: u }, backend: t10 })); - let l = S.getInnerMostAxes(1, p)[0]; - S.assertAxesAreInnerMostDims("cumprod", [l], p); + let u = C.getAxesPermutation([s], p), c = n; + u !== null && (c = mo({ inputs: { x: n }, attrs: { perm: u }, backend: t10 })); + let l = C.getInnerMostAxes(1, p)[0]; + C.assertAxesAreInnerMostDims("cumprod", [l], p); let m = t10.makeOutput(c.shape, c.dtype), d = c.shape[l], f = t10.dataIdMap.get(c.dataId).id, h = t10.dataIdMap.get(m.dataId).id; - JF(f, a ? 1 : 0, i ? 1 : 0, d, h, Fe[n.dtype]); + KP(f, a ? 1 : 0, i ? 1 : 0, d, h, we[n.dtype]); let g = m; if (u !== null) { - let x = S.getUndoAxesPermutation(u); - g = uo({ inputs: { x: m }, attrs: { perm: x }, backend: t10 }), t10.disposeData(c.dataId), t10.disposeData(m.dataId); + let x = C.getUndoAxesPermutation(u); + g = mo({ inputs: { x: m }, attrs: { perm: x }, backend: t10 }), t10.disposeData(c.dataId), t10.disposeData(m.dataId); } return g; } -var eO = { kernelName: qo, backendName: "wasm", setupFunc: B9, kernelFunc: V9 }; -var tO; -function z9(r) { - tO = r.wasm.cwrap(jo, null, ["number", "number", "number", "number", "number", "number"]); +var qP = { kernelName: an, backendName: "wasm", setupFunc: dre, kernelFunc: fre }; +var jP; +function hre(r) { + jP = r.wasm.cwrap(un, null, ["number", "number", "number", "number", "number", "number"]); } -function W9(r) { +function gre(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o, p = n.shape.length; y.assert(n.dtype === "float32" || n.dtype === "int32", () => `cumsum does not support ${n.dtype} tensors in the WASM backend`); - let u = S.getAxesPermutation([s], p), c = n; - u !== null && (c = uo({ inputs: { x: n }, attrs: { perm: u }, backend: t10 })); - let l = S.getInnerMostAxes(1, p)[0]; - S.assertAxesAreInnerMostDims("cumsum", [l], p); + let u = C.getAxesPermutation([s], p), c = n; + u !== null && (c = mo({ inputs: { x: n }, attrs: { perm: u }, backend: t10 })); + let l = C.getInnerMostAxes(1, p)[0]; + C.assertAxesAreInnerMostDims("cumsum", [l], p); let m = t10.makeOutput(c.shape, c.dtype), d = c.shape[l], f = t10.dataIdMap.get(c.dataId).id, h = t10.dataIdMap.get(m.dataId).id; - tO(f, a ? 1 : 0, i ? 1 : 0, d, h, Fe[n.dtype]); + jP(f, a ? 1 : 0, i ? 1 : 0, d, h, we[n.dtype]); let g = m; if (u !== null) { - let x = S.getUndoAxesPermutation(u); - g = uo({ inputs: { x: m }, attrs: { perm: x }, backend: t10 }), t10.disposeData(c.dataId), t10.disposeData(m.dataId); + let x = C.getUndoAxesPermutation(u); + g = mo({ inputs: { x: m }, attrs: { perm: x }, backend: t10 }), t10.disposeData(c.dataId), t10.disposeData(m.dataId); } return g; } -var rO = { kernelName: jo, backendName: "wasm", setupFunc: z9, kernelFunc: W9 }; -var oO; -function U9(r) { - oO = r.wasm.cwrap(Yo, null, ["number", "number", "number", "array", "number", "array", "array", "number", "number"]); +var XP = { kernelName: un, backendName: "wasm", setupFunc: hre, kernelFunc: gre }; +var YP; +function xre(r) { + YP = r.wasm.cwrap("DenseBincount", null, ["number", "array", "number", "number", "boolean", "number", "number", "boolean", "number"]); } -function G9(r) { - let { backend: e, inputs: t10, attrs: o } = r, { x: n } = t10, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = e.makeOutput(f, "float32"), x = e.dataIdMap.get(n.dataId).id, b = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), C = new Uint8Array(new Int32Array(f).buffer), w = new Uint8Array(new Int32Array(y.computeStrides(f)).buffer), k = e.dataIdMap.get(h.dataId).id; - return oO(x, s, a === "NHWC" ? 1 : 0, b, n.shape.length - 1, C, w, f.length, k), h; +function yre(r) { + let { backend: e, inputs: t10, attrs: o } = r, { x: n, weights: s } = t10, { size: a, binaryOutput: i } = o, p = s.shape.reduce((m, d) => m * d, 1) !== 0, u = n.shape.length === 1 ? [a] : [n.shape[0], a], c = e.makeOutput(u, s.dtype); + function l(m) { + return e.dataIdMap.get(m.dataId).id; + } + return YP(l(n), new Uint8Array(new Int32Array(n.shape).buffer), n.shape.length, a, p, l(s), we[s.dtype], i, l(c)), c; } -var nO = { kernelName: Yo, backendName: "wasm", setupFunc: U9, kernelFunc: G9 }; -var sO; -function H9(r) { - sO = r.wasm.cwrap(Qo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var QP = { kernelName: Qs, backendName: "wasm", setupFunc: xre, kernelFunc: yre }; +var ZP; +function bre(r) { + ZP = r.wasm.cwrap(cn, null, ["number", "number", "number", "array", "number", "array", "array", "number", "number"]); } -function K9(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, a = o.dataIdMap.get(n.dataId).id, i = o.dataIdMap.get(s.dataId).id, { strides: p, dilations: u, pad: c, dimRoundingMode: l } = t10, m = u == null ? [1, 1] : u, d = S.computeConv2DInfo(n.shape, s.shape, p, m, c, l, true), f = d.filterHeight, h = d.filterWidth, g = d.padInfo.top, x = d.padInfo.right, b = d.padInfo.bottom, C = d.padInfo.left, w = d.dilationHeight, k = d.dilationWidth, _ = d.strideHeight, E = d.strideWidth, A = d.inChannels, R = d.outChannels, D = d.padInfo.type === "SAME" ? 1 : 0; +function Cre(r) { + let { backend: e, inputs: t10, attrs: o } = r, { x: n } = t10, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = e.makeOutput(f, "float32"), x = e.dataIdMap.get(n.dataId).id, b = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), w = new Uint8Array(new Int32Array(f).buffer), S = new Uint8Array(new Int32Array(y.computeStrides(f)).buffer), k = e.dataIdMap.get(h.dataId).id; + return ZP(x, s, a === "NHWC" ? 1 : 0, b, n.shape.length - 1, w, S, f.length, k), h; +} +var JP = { kernelName: cn, backendName: "wasm", setupFunc: bre, kernelFunc: Cre }; +var eO; +function wre(r) { + eO = r.wasm.cwrap(ln, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Sre(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, a = o.dataIdMap.get(n.dataId).id, i = o.dataIdMap.get(s.dataId).id, { strides: p, dilations: u, pad: c, dimRoundingMode: l } = t10, m = u == null ? [1, 1] : u, d = C.computeConv2DInfo(n.shape, s.shape, p, m, c, l, true), f = d.filterHeight, h = d.filterWidth, g = d.padInfo.top, x = d.padInfo.right, b = d.padInfo.bottom, w = d.padInfo.left, S = d.dilationHeight, k = d.dilationWidth, _ = d.strideHeight, E = d.strideWidth, R = d.inChannels, D = d.outChannels, F = d.padInfo.type === "SAME" ? 1 : 0; if (d.dataFormat !== "channelsLast") throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${d.dataFormat}'. Please use 'channelsLast'.`); - let P = o.makeOutput(d.outShape, "float32"), M = o.dataIdMap.get(P.dataId).id; - return sO(a, n.shape[0], n.shape[1], n.shape[2], i, f, h, g, x, b, C, D, w, k, _, E, A, R, M), P; + let O = o.makeOutput(d.outShape, "float32"), M = o.dataIdMap.get(O.dataId).id; + return eO(a, n.shape[0], n.shape[1], n.shape[2], i, f, h, g, x, b, w, F, S, k, _, E, R, D, M), O; } -var aO = { kernelName: Qo, backendName: "wasm", setupFunc: H9, kernelFunc: K9 }; -var iO = Ve(Jo); -var q9 = false; -var uO = rt(en, q9, "bool"); -var pO = Ve(tn, "float32"); -function yg(r) { +var tO = { kernelName: ln, backendName: "wasm", setupFunc: wre, kernelFunc: Sre }; +var rO; +function Ire(r) { + rO = r.wasm.cwrap("Diag", null, ["number", "number", "number", "number"]); +} +function vre(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = y.sizeFromShape(o.shape), s = t10.makeOutput([...o.shape, ...o.shape], o.dtype); + return rO(t10.dataIdMap.get(o.dataId).id, we[o.dtype], n, t10.dataIdMap.get(s.dataId).id), s; +} +var oO = { kernelName: Zs, backendName: "wasm", setupFunc: Ire, kernelFunc: vre }; +var nO; +function kre(r) { + nO = r.wasm.cwrap(mn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Nre(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o; + if (n.dtype !== s.dtype) + throw new Error(`Dilation2D error: x must have the same dtype as filter. Got ${n.dtype} and ${s.dtype}`); + let u = C.computeDilation2DInfo(n.shape, s.shape, a, i, "NHWC", p), c = t10.makeOutput(u.outShape, n.dtype); + return nO(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(c.dataId).id, we[n.dtype], u.batchSize, u.inChannels, u.inHeight, u.inWidth, u.outHeight, u.outWidth, u.strideHeight, u.strideWidth, u.dilationHeight, u.dilationWidth, u.filterHeight, u.filterWidth, u.padInfo.top, u.padInfo.left), c; +} +var sO = { kernelName: mn, backendName: "wasm", setupFunc: kre, kernelFunc: Nre }; +var aO; +function Tre(r) { + aO = r.wasm.cwrap(Ai, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function _re(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, dy: a } = e, { strides: i, pad: p, dilations: u } = o; + if (n.dtype !== s.dtype || n.dtype !== a.dtype) + throw new Error(`Dilation2DBackpropFilter error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`); + let c = C.computeDilation2DInfo(n.shape, s.shape, i, p, "NHWC", u), l = t10.makeOutput(s.shape, s.dtype); + return aO(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(a.dataId).id, t10.dataIdMap.get(l.dataId).id, we[n.dtype], c.batchSize, c.inChannels, c.inHeight, c.inWidth, c.outHeight, c.outWidth, c.strideHeight, c.strideWidth, c.dilationHeight, c.dilationWidth, c.filterHeight, c.filterWidth, c.padInfo.top, c.padInfo.left), l; +} +var iO = { kernelName: Ai, backendName: "wasm", setupFunc: Tre, kernelFunc: _re }; +var uO; +function $re(r) { + uO = r.wasm.cwrap(Di, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Ere(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, dy: a } = e, { strides: i, pad: p, dilations: u } = o; + if (n.dtype !== s.dtype || n.dtype !== a.dtype) + throw new Error(`Dilation2DBackpropInput error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`); + let c = C.computeDilation2DInfo(n.shape, s.shape, i, p, "NHWC", u), l = t10.makeOutput(n.shape, n.dtype); + return uO(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(a.dataId).id, t10.dataIdMap.get(l.dataId).id, we[n.dtype], c.batchSize, c.inChannels, c.inHeight, c.inWidth, c.outHeight, c.outWidth, c.strideHeight, c.strideWidth, c.dilationHeight, c.dilationWidth, c.filterHeight, c.filterWidth, c.padInfo.top, c.padInfo.left), l; +} +var pO = { kernelName: Di, backendName: "wasm", setupFunc: $re, kernelFunc: Ere }; +var cO = Ce(fn); +var lO; +function Rre(r) { + lO = r.wasm.cwrap(Va, null, ["number", "number", "number"]); +} +function Dre(r) { + let { inputs: e, backend: t10 } = r, { dy: o, y: n } = e, s = t10.makeOutput(n.shape, "float32"), a = (i) => t10.dataIdMap.get(i.dataId).id; + return lO(a(n), a(o), a(s)), s; +} +var mO = { kernelName: Va, backendName: "wasm", setupFunc: Rre, kernelFunc: Dre }; +var Are = false; +var dO = Je(hn, Are, "bool"); +var fO = Ce(gn, "float32"); +function Pg(r) { let { inputs: e, attrs: t10, backend: o } = r, { input: n } = e, { dim: s } = t10, a = n.shape.length, i = n.shape.slice(), p = s; - return s < 0 && (y.assert(-(a + 1) <= s, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + s + 1), i.splice(p, 0, 1), Lt({ inputs: { x: n }, backend: o, attrs: { shape: i } }); + return s < 0 && (y.assert(-(a + 1) <= s, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + s + 1), i.splice(p, 0, 1), zt({ inputs: { x: n }, backend: o, attrs: { shape: i } }); } -var cO = { kernelName: Ss, backendName: "wasm", kernelFunc: yg }; -function eI(r) { +var hO = { kernelName: Js, backendName: "wasm", kernelFunc: Pg }; +var gO = Ce(xn, "float32"); +function yv(r) { let { attrs: { shape: e, value: t10, dtype: o }, backend: n } = r, s = n.makeOutput(e, o); return n.typedArrayFromHeap(s).fill(t10), s; } -var lO = { kernelName: ws, backendName: "wasm", kernelFunc: eI }; -var mO; -function j9(r) { - mO = r.wasm.cwrap(rn, null, ["number", "number", "number", "number", "number", "number"]); +var xO = { kernelName: ea, backendName: "wasm", kernelFunc: yv }; +var yO; +function Fre(r) { + yO = r.wasm.cwrap(yn, null, ["number", "number", "number", "number", "number", "number"]); } -function X9(r) { +function Pre(r) { let { inputs: e, backend: t10 } = r, { image: o } = e, n = t10.makeOutput(o.shape, o.dtype), s = t10.dataIdMap.get(o.dataId).id, a = t10.dataIdMap.get(n.dataId).id, [i, p, u, c] = o.shape; - return mO(s, i, p, u, c, a), n; + return yO(s, i, p, u, c, a), n; } -var dO = { kernelName: rn, backendName: "wasm", kernelFunc: X9, setupFunc: j9 }; -var fO = Ve(on); -var Y9 = false; -var hO = rt(nn, Y9); -var gO; -function Q9(r) { - gO = r.wasm.cwrap(sn, null, ["number", "number", "number", "number", "number", "number", "number"]); +var bO = { kernelName: yn, backendName: "wasm", kernelFunc: Pre, setupFunc: Fre }; +var CO = Ce(bn); +var Ore = false; +var wO = Je(Cn, Ore); +var SO; +function Mre(r) { + SO = r.wasm.cwrap(wn, null, ["number", "number", "number", "number", "number", "number", "number"]); } -function Z9(r) { +function Lre(r) { let { backend: e, inputs: t10, attrs: o } = r, { varianceEpsilon: n } = o, { x: s, mean: a, variance: i, offset: p, scale: u } = t10, c = e.dataIdMap.get(s.dataId).id, l = e.dataIdMap.get(a.dataId).id, m = e.dataIdMap.get(i.dataId).id, d = p != null ? e.dataIdMap.get(p.dataId).id : 0, f = u != null ? e.dataIdMap.get(u.dataId).id : 0, h = e.makeOutput(s.shape, s.dtype); if (y.sizeFromShape(s.shape) === 0) return h; let g = e.dataIdMap.get(h.dataId).id; - return gO(c, l, m, d, f, n, g), h; + return SO(c, l, m, d, f, n, g), h; } -var xO = { kernelName: sn, backendName: "wasm", setupFunc: Q9, kernelFunc: Z9 }; -var yO; -function J9(r) { - yO = r.wasm.cwrap(go, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var IO = { kernelName: wn, backendName: "wasm", setupFunc: Mre, kernelFunc: Lre }; +var vO; +function Bre(r) { + vO = r.wasm.cwrap(Co, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function eJ(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dataFormat: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = t10, h = S.computeConv2DInfo(n.shape, s.shape, p, c, u, m), g = Ui[d]; +function zre(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dataFormat: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = t10, h = C.computeConv2DInfo(n.shape, s.shape, p, c, u, m), g = bu[d]; if (g == null) throw new Error(`${d} activation not yet supported for FusedConv2D in the wasm backend.`); - let x = o.dataIdMap.get(n.dataId).id, b = o.dataIdMap.get(s.dataId).id, C = h.outChannels, w = 0; + let x = o.dataIdMap.get(n.dataId).id, b = o.dataIdMap.get(s.dataId).id, w = h.outChannels, S = 0; if (a != null) { - let J = o.dataIdMap.get(a.dataId); - if (J.shape.length !== 1) - throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${J.shape.length}.`); - if (J.shape[0] !== C) - throw new Error(`FusedConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`); - w = J.id; + let ee = o.dataIdMap.get(a.dataId); + if (ee.shape.length !== 1) + throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`); + if (ee.shape[0] !== w) + throw new Error(`FusedConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`); + S = ee.id; } - let k = h.filterHeight, _ = h.filterWidth, E = h.padInfo.top, A = h.padInfo.right, R = h.padInfo.bottom, D = h.padInfo.left, P = h.dilationHeight, M = h.dilationWidth, L = h.strideHeight, V = h.strideWidth, z = h.inChannels, U = h.padInfo.type === "SAME" ? 1 : 0, K = h.batchSize, H = h.inHeight, q = h.inWidth; + let k = h.filterHeight, _ = h.filterWidth, E = h.padInfo.top, R = h.padInfo.right, D = h.padInfo.bottom, F = h.padInfo.left, O = h.dilationHeight, M = h.dilationWidth, L = h.strideHeight, B = h.strideWidth, z = h.inChannels, U = h.padInfo.type === "SAME" ? 1 : 0, j = h.batchSize, H = h.inHeight, X = h.inWidth; if (l !== "NHWC") throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`); - let Z = o.makeOutput(h.outShape, "float32"), ee = o.dataIdMap.get(Z.dataId).id, oe = i == null ? 0 : o.dataIdMap.get(i.dataId).id; - return yO(x, K, H, q, b, k, _, w, E, A, R, D, U, P, M, L, V, z, C, g, oe, f || 0, ee), Z; + let J = o.makeOutput(h.outShape, "float32"), re = o.dataIdMap.get(J.dataId).id, ne = i == null ? 0 : o.dataIdMap.get(i.dataId).id; + return vO(x, j, H, X, b, k, _, S, E, R, D, F, U, O, M, L, B, z, w, g, ne, f || 0, re), J; } -var bO = { kernelName: go, backendName: "wasm", setupFunc: J9, kernelFunc: eJ }; -var CO; -function tJ(r) { - CO = r.wasm.cwrap(xo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var kO = { kernelName: Co, backendName: "wasm", setupFunc: Bre, kernelFunc: zre }; +var NO; +function Vre(r) { + NO = r.wasm.cwrap(wo, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function rJ(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dataFormat: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = t10, h = S.computeConv2DInfo(n.shape, s.shape, p, c, u, m, true), g = Ui[d]; +function Wre(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dataFormat: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = t10, h = C.computeConv2DInfo(n.shape, s.shape, p, c, u, m, true), g = bu[d]; if (g == null) throw new Error(`${d} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`); - let x = o.dataIdMap.get(n.dataId).id, b = o.dataIdMap.get(s.dataId).id, C = h.outChannels, w = 0; + let x = o.dataIdMap.get(n.dataId).id, b = o.dataIdMap.get(s.dataId).id, w = h.outChannels, S = 0; if (a != null) { - let J = o.dataIdMap.get(a.dataId); - if (J.shape.length !== 1) - throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${J.shape.length}.`); - if (J.shape[0] !== C) - throw new Error(`FusedDepthwiseConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`); - w = J.id; + let ee = o.dataIdMap.get(a.dataId); + if (ee.shape.length !== 1) + throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`); + if (ee.shape[0] !== w) + throw new Error(`FusedDepthwiseConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`); + S = ee.id; } - let k = h.filterHeight, _ = h.filterWidth, E = h.padInfo.top, A = h.padInfo.right, R = h.padInfo.bottom, D = h.padInfo.left, P = h.dilationHeight, M = h.dilationWidth, L = h.strideHeight, V = h.strideWidth, z = h.inChannels, U = h.padInfo.type === "SAME" ? 1 : 0, K = h.batchSize, H = h.inHeight, q = h.inWidth; + let k = h.filterHeight, _ = h.filterWidth, E = h.padInfo.top, R = h.padInfo.right, D = h.padInfo.bottom, F = h.padInfo.left, O = h.dilationHeight, M = h.dilationWidth, L = h.strideHeight, B = h.strideWidth, z = h.inChannels, U = h.padInfo.type === "SAME" ? 1 : 0, j = h.batchSize, H = h.inHeight, X = h.inWidth; if (l !== "NHWC") throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`); - let Z = o.makeOutput(h.outShape, "float32"), ee = o.dataIdMap.get(Z.dataId).id, oe = i == null ? 0 : o.dataIdMap.get(i.dataId).id; - return CO(x, K, H, q, b, k, _, w, E, A, R, D, U, P, M, L, V, z, C, g, oe, f || 0, ee), Z; + let J = o.makeOutput(h.outShape, "float32"), re = o.dataIdMap.get(J.dataId).id, ne = i == null ? 0 : o.dataIdMap.get(i.dataId).id; + return NO(x, j, H, X, b, k, _, S, E, R, D, F, U, O, M, L, B, z, w, g, ne, f || 0, re), J; } -var SO = { kernelName: xo, backendName: "wasm", setupFunc: tJ, kernelFunc: rJ }; -var wO; -function oJ(r) { - wO = r.wasm.cwrap(an, null, ["number", "number", "number", "number", "number", "number", "array", "number"]); +var TO = { kernelName: wo, backendName: "wasm", setupFunc: Vre, kernelFunc: Wre }; +var _O; +function Ure(r) { + _O = r.wasm.cwrap(Sn, null, ["number", "number", "number", "number", "number", "number", "array", "number"]); } -function nJ(r) { - let { backend: e, inputs: t10 } = r, { params: o, indices: n } = t10, [s, a, i, p] = Wd.prepareAndValidate(o, n), u = e.makeOutput(s, o.dtype); +function Gre(r) { + let { backend: e, inputs: t10 } = r, { params: o, indices: n } = t10, [s, a, i, p] = of.prepareAndValidate(o, n), u = e.makeOutput(s, o.dtype); if (a === 0) return u; let c = n.shape, l = c[c.length - 1], d = e.dataIdMap.get(o.dataId).id, h = e.dataIdMap.get(n.dataId).id, g = new Uint8Array(new Int32Array(p).buffer), x = e.dataIdMap.get(u.dataId).id; - return wO(d, Fe[o.dtype], h, a, l, i, g, x), u; + return _O(d, we[o.dtype], h, a, l, i, g, x), u; } -var IO = { kernelName: an, backendName: "wasm", setupFunc: oJ, kernelFunc: nJ }; -var vO; -function sJ(r) { - vO = r.wasm.cwrap("Gather", null, ["number", "number", "array", "number", "number", "number", "array", "number"]); +var $O = { kernelName: Sn, backendName: "wasm", setupFunc: Ure, kernelFunc: Gre }; +var EO; +function Hre(r) { + EO = r.wasm.cwrap("Gather", null, ["number", "number", "array", "number", "number", "number", "array", "number"]); } -function aJ(r) { +function Kre(r) { let { backend: e, inputs: t10, attrs: o } = r, { x: n, indices: s } = t10, { axis: a, batchDims: i } = o, p = y.parseAxisParam(a, n.shape)[0], u = e.readSync(s.dataId), c = n.shape[p]; - for (let R = 0; R < u.length; ++R) { - let D = u[R]; - y.assert(D <= c - 1 && D >= 0, () => `GatherV2: the index value ${D} is not in [0, ${c - 1}]`); + for (let D = 0; D < u.length; ++D) { + let F = u[D]; + y.assert(F <= c - 1 && F >= 0, () => `GatherV2: the index value ${F} is not in [0, ${c - 1}]`); } - let l = S.segment_util.collectGatherOpShapeInfo(n, s, p, i), m = Lt({ inputs: { x: n }, attrs: { shape: [l.batchSize, l.outerSize, l.dimSize, l.sliceSize] }, backend: e }), d = y.sizeFromShape(s.shape), f = Lt({ inputs: { x: s }, attrs: { shape: [l.batchSize, d / l.batchSize] }, backend: e }), h = [l.batchSize, l.outerSize, d / l.batchSize, l.sliceSize], g = e.makeOutput(h, n.dtype); + let l = C.segment_util.collectGatherOpShapeInfo(n, s, p, i), m = zt({ inputs: { x: n }, attrs: { shape: [l.batchSize, l.outerSize, l.dimSize, l.sliceSize] }, backend: e }), d = y.sizeFromShape(s.shape), f = zt({ inputs: { x: s }, attrs: { shape: [l.batchSize, d / l.batchSize] }, backend: e }), h = [l.batchSize, l.outerSize, d / l.batchSize, l.sliceSize], g = e.makeOutput(h, n.dtype); if (y.sizeFromShape(n.shape) === 0) return g; - let x = m.shape.length - 1, C = e.dataIdMap.get(m.dataId).id, k = e.dataIdMap.get(f.dataId).id, _ = e.dataIdMap.get(g.dataId).id, E = new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer), A = new Uint8Array(new Int32Array(y.computeStrides(h)).buffer); - return vO(C, Fe[n.dtype], E, x, k, l.batchSize, A, _), e.disposeData(m.dataId), e.disposeData(f.dataId), g.shape = l.outputShape, g; + let x = m.shape.length - 1, w = e.dataIdMap.get(m.dataId).id, k = e.dataIdMap.get(f.dataId).id, _ = e.dataIdMap.get(g.dataId).id, E = new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer), R = new Uint8Array(new Int32Array(y.computeStrides(h)).buffer); + return EO(w, we[n.dtype], E, x, k, l.batchSize, R, _), e.disposeData(m.dataId), e.disposeData(f.dataId), g.shape = l.outputShape, g; } -var kO = { kernelName: Is, backendName: "wasm", setupFunc: sJ, kernelFunc: aJ }; -var iJ = false; -var NO = rt(un, iJ, "bool"); -var uJ = false; -var TO = rt(pn, uJ, "bool"); -var _O = Ve(cn, "bool"); -var $O; -function pJ(r) { - $O = r.wasm.cwrap(ln, null, ["number", "number", "number", "number"]); +var RO = { kernelName: ta, backendName: "wasm", setupFunc: Hre, kernelFunc: Kre }; +var qre = false; +var DO = Je(In, qre, "bool"); +var jre = false; +var AO = Je(vn, jre, "bool"); +var FO = Ce(kn, "bool"); +var PO = Ce(Nn, "bool"); +var OO = Ce(Tn, "bool"); +var MO; +function Xre(r) { + MO = r.wasm.cwrap(_n, null, ["number", "number", "number", "number"]); } -function cJ(r) { +function Yre(r) { let { inputs: { x: e }, attrs: { alpha: t10 }, backend: o } = r, n = o.dataIdMap.get(e.dataId).id, s = o.makeOutput(e.shape, "float32"); if (y.sizeFromShape(e.shape) !== 0) { let a = o.dataIdMap.get(s.dataId).id; - $O(n, Fe[e.dtype], t10, a); + MO(n, we[e.dtype], t10, a); } return s; } -var EO = { kernelName: ln, backendName: "wasm", setupFunc: pJ, kernelFunc: cJ }; -var lJ = false; -var AO = rt(mn, lJ, "bool"); -var mJ = false; -var RO = rt(dn, mJ, "bool"); -var DO = Ve(fn); -var dJ = false; -var FO = rt(hn, dJ, "bool"); -var OO = Ve(gn); -var fJ = false; -var PO = rt(xn, fJ, "bool"); -var hJ = false; -var MO = rt(XI, hJ, "bool"); -var LO; -function gJ(r) { - LO = r.wasm.cwrap(yn, null, ["number", "number", "number", "number"]); +var LO = { kernelName: _n, backendName: "wasm", setupFunc: Xre, kernelFunc: Yre }; +var Qre = false; +var BO = Je($n, Qre, "bool"); +var Zre = false; +var zO = Je(En, Zre, "bool"); +var VO; +function Jre(r) { + VO = r.wasm.cwrap(Rn, null, ["number", "number", "number", "number"]); } -function xJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { reductionIndices: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e); - if (d) { - let C = e.dataIdMap.get(c.dataId).id; - u = c, p = C; - } - let f = u.shape.length; - S.assertAxesAreInnerMostDims("max", l, f); - let [h, g] = S.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); - if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - LO(p, Fe[a.dtype], x, C); - } - if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; - } - return b; +function eoe(r) { + let { attrs: e, backend: t10 } = r, { start: o, stop: n, num: s } = e, a = Math.floor(s), i = t10.makeOutput([a], "float32"); + return VO(t10.dataIdMap.get(i.dataId).id, o, n, a), i; } -var BO = { kernelName: yn, backendName: "wasm", setupFunc: gJ, kernelFunc: xJ }; -var yJ = false; -var VO = rt(bn, yJ); -var zO; -function bJ(r) { - zO = r.wasm.cwrap(Cn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var WO = { kernelName: Rn, backendName: "wasm", setupFunc: Jre, kernelFunc: eoe }; +var UO = Ce(Dn); +var GO = Ce(An); +var toe = false; +var HO = Je(Fn, toe, "bool"); +var KO = Ce(Pn); +var roe = false; +var qO = Je(On, roe, "bool"); +var ooe = false; +var jO = Je(m0, ooe, "bool"); +var XO; +function noe(r) { + XO = r.wasm.cwrap(Mn, null, ["number", "number", "number", "number", "number", "number", "number"]); } -function CJ(r) { - let { inputs: e, attrs: t10, backend: o } = r, n = e.x, s = o.dataIdMap.get(n.dataId).id; - y.assert(n.dtype === "float32", () => `Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`); - let { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = t10, c = S.computePool2DInfo(n.shape, a, i, 1, p, u), l = c.filterHeight, m = c.filterWidth, d = c.padInfo.top, f = c.padInfo.right, h = c.padInfo.bottom, g = c.padInfo.left, x = c.dilationHeight, b = c.dilationWidth, C = c.strideHeight, w = c.strideWidth, k = c.inChannels, _ = c.outChannels; - if (c.dataFormat !== "channelsLast") - throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`); - let E = o.makeOutput(c.outShape, "float32"), A = o.dataIdMap.get(E.dataId).id; - return zO(s, n.shape[0], n.shape[1], n.shape[2], l, m, d, f, h, g, x, b, C, w, k, _, A), E; +function soe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { depthRadius: s, bias: a, alpha: i, beta: p } = o; + if (n.dtype !== "float32") + throw new Error("LRN error: x must have dtype float32"); + let u = t10.makeOutput(n.shape, n.dtype); + return XO(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(u.dataId).id, n.shape[3], s, a, i, p), u; } -var WO = { kernelName: Cn, backendName: "wasm", setupFunc: bJ, kernelFunc: CJ }; -var UO; -function SJ(r) { - UO = r.wasm.cwrap(Sn, null, ["number, number, number"]); +var YO = { kernelName: Mn, backendName: "wasm", setupFunc: noe, kernelFunc: soe }; +var QO; +function aoe(r) { + QO = r.wasm.cwrap(Ua, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function wJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e), f = l; +function ioe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, y: s, dy: a } = e, { depthRadius: i, bias: p, alpha: u, beta: c } = o; + if (n.dtype !== "float32" || s.dtype !== "float32" || a.dtype !== "float32") + throw new Error("LRNGrad error: x, y, and dy must have dtype float32"); + let l = t10.makeOutput(n.shape, n.dtype); + return QO(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(a.dataId).id, t10.dataIdMap.get(l.dataId).id, a.shape[3], i, p, u, c), l; +} +var ZO = { kernelName: Ua, backendName: "wasm", setupFunc: aoe, kernelFunc: ioe }; +var JO; +function uoe(r) { + JO = r.wasm.cwrap(Ln, null, ["number", "number", "number", "number"]); +} +function poe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { reductionIndices: n, keepDims: s } = o, { x: a } = t10, p = e.dataIdMap.get(a.dataId).id, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e); if (d) { let w = e.dataIdMap.get(c.dataId).id; - w !== i && (u = c, p = w, f = S.getInnerMostAxes(f.length, u.shape.length)); - } - S.assertAxesAreInnerMostDims("mean", f, u.shape.length); - let [h, g] = S.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = u; - u.dtype !== "float32" && (b = ms({ backend: e, inputs: { x: u }, attrs: { dtype: "float32" } }), p = e.dataIdMap.get(b.dataId).id); - let C = e.makeOutput(h, "float32"); - if (y.sizeFromShape(u.shape) !== 0) { - let w = e.dataIdMap.get(C.dataId).id; - UO(p, x, w); - } - if (d && e.disposeData(c.dataId), s) { - let w = S.expandShapeToKeepDim(C.shape, m); - C.shape = w; - } - return u.dtype !== "float32" && e.disposeData(b.dataId), C; -} -var GO = { kernelName: Sn, backendName: "wasm", setupFunc: SJ, kernelFunc: wJ }; -var HO; -function IJ(r) { - HO = r.wasm.cwrap(wn, null, ["number", "number", "number", "number"]); -} -function vJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e); - if (d) { - let C = e.dataIdMap.get(c.dataId).id; - C !== i && (u = c, p = C); + u = c, p = w; } let f = u.shape.length; - S.assertAxesAreInnerMostDims("min", l, f); - let [h, g] = S.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); + C.assertAxesAreInnerMostDims("max", l, f); + let [h, g] = C.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, a.dtype); if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - HO(p, Fe[a.dtype], x, C); + let w = e.dataIdMap.get(b.dataId).id; + JO(p, we[a.dtype], x, w); } if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; } return b; } -var KO = { kernelName: wn, backendName: "wasm", setupFunc: IJ, kernelFunc: vJ }; -var kJ = false; -var qO = rt(In, kJ); -var tI; +var eM = { kernelName: Ln, backendName: "wasm", setupFunc: uoe, kernelFunc: poe }; +var coe = false; +var tM = Je(Bn, coe); +var rM; +function loe(r) { + rM = r.wasm.cwrap(zn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function moe(r) { + let { inputs: e, attrs: t10, backend: o } = r, n = e.x, s = o.dataIdMap.get(n.dataId).id; + y.assert(n.dtype === "float32", () => `Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`); + let { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = t10, c = C.computePool2DInfo(n.shape, a, i, 1, p, u), l = c.filterHeight, m = c.filterWidth, d = c.padInfo.top, f = c.padInfo.right, h = c.padInfo.bottom, g = c.padInfo.left, x = c.dilationHeight, b = c.dilationWidth, w = c.strideHeight, S = c.strideWidth, k = c.inChannels, _ = c.outChannels; + if (c.dataFormat !== "channelsLast") + throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`); + let E = o.makeOutput(c.outShape, "float32"), R = o.dataIdMap.get(E.dataId).id; + return rM(s, n.shape[0], n.shape[1], n.shape[2], l, m, d, f, h, g, x, b, w, S, k, _, R), E; +} +var oM = { kernelName: zn, backendName: "wasm", setupFunc: loe, kernelFunc: moe }; +var nM; +function doe(r) { + nM = r.wasm.cwrap("MaxPool3D", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function foe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p, dataFormat: u } = o, c = C.computePool3DInfo(n.shape, s, a, 1, i, p, u), l = t10.makeOutput(c.outShape, n.dtype); + return nM(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(l.dataId).id, c.batchSize, c.inChannels, c.inDepth, c.inHeight, c.inWidth, c.outDepth, c.outHeight, c.outWidth, c.strideDepth, c.strideHeight, c.strideWidth, c.dilationDepth, c.dilationHeight, c.dilationWidth, c.effectiveFilterDepth, c.effectiveFilterHeight, c.effectiveFilterWidth, c.padInfo.front, c.padInfo.top, c.padInfo.left), l; +} +var sM = { kernelName: ra, backendName: "wasm", setupFunc: doe, kernelFunc: foe }; +var aM; +function hoe(r) { + aM = r.wasm.cwrap("MaxPool3DGrad", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function goe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, { filterSize: a, strides: i, pad: p, dimRoundingMode: u } = o, c = C.computePool3DInfo(s.shape, a, i, 1, p, u), l = t10.makeOutput(s.shape, s.dtype); + return aM(t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(l.dataId).id, c.batchSize, c.inChannels, c.inDepth, c.inHeight, c.inWidth, c.outDepth, c.outHeight, c.outWidth, c.strideDepth, c.strideHeight, c.strideWidth, c.dilationDepth, c.dilationHeight, c.dilationWidth, c.effectiveFilterDepth, c.effectiveFilterHeight, c.effectiveFilterWidth, c.padInfo.front, c.padInfo.top, c.padInfo.left), l; +} +var iM = { kernelName: Li, backendName: "wasm", setupFunc: hoe, kernelFunc: goe }; +var uM; +function xoe(r) { + uM = r.wasm.cwrap(Vn, null, ["number, number, number"]); +} +function yoe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e), f = l; + if (d) { + let S = e.dataIdMap.get(c.dataId).id; + S !== i && (u = c, p = S, f = C.getInnerMostAxes(f.length, u.shape.length)); + } + C.assertAxesAreInnerMostDims("mean", f, u.shape.length); + let [h, g] = C.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = u; + u.dtype !== "float32" && (b = Pr({ backend: e, inputs: { x: u }, attrs: { dtype: "float32" } }), p = e.dataIdMap.get(b.dataId).id); + let w = e.makeOutput(h, "float32"); + if (y.sizeFromShape(u.shape) !== 0) { + let S = e.dataIdMap.get(w.dataId).id; + uM(p, x, S); + } + if (d && e.disposeData(c.dataId), s) { + let S = C.expandShapeToKeepDim(w.shape, m); + w.shape = S; + } + return u.dtype !== "float32" && e.disposeData(b.dataId), w; +} +var pM = { kernelName: Vn, backendName: "wasm", setupFunc: xoe, kernelFunc: yoe }; +var cM; +function boe(r) { + cM = r.wasm.cwrap(Wn, null, ["number", "number", "number", "number"]); +} +function Coe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e); + if (d) { + let w = e.dataIdMap.get(c.dataId).id; + w !== i && (u = c, p = w); + } + let f = u.shape.length; + C.assertAxesAreInnerMostDims("min", l, f); + let [h, g] = C.computeOutAndReduceShapes(u.shape, l), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); + if (y.sizeFromShape(u.shape) !== 0) { + let w = e.dataIdMap.get(b.dataId).id; + cM(p, we[a.dtype], x, w); + } + if (d && e.disposeData(c.dataId), s) { + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; + } + return b; +} +var lM = { kernelName: Wn, backendName: "wasm", setupFunc: boe, kernelFunc: Coe }; +var woe = false; +var mM = Je(Un, woe); +var bv; (function(r) { r[r.reflect = 0] = "reflect", r[r.symmetric = 1] = "symmetric"; -})(tI || (tI = {})); -var jO; -function NJ(r) { - jO = r.wasm.cwrap(vn, null, ["number", "array", "number", "number", "array", "array", "number", "number"]); +})(bv || (bv = {})); +var dM; +function Soe(r) { + dM = r.wasm.cwrap(Gn, null, ["number", "array", "number", "number", "array", "array", "number", "number"]); } -function TJ(r) { +function Ioe(r) { let { inputs: { x: e }, backend: t10, attrs: { paddings: o, mode: n } } = r, s = o.map((f, h) => f[0] + e.shape[h] + f[1]), a = t10.dataIdMap.get(e.dataId).id, i = t10.makeOutput(s, e.dtype), p = t10.dataIdMap.get(i.dataId).id, u = new Uint8Array(new Int32Array(e.shape).buffer), c = o.map((f) => f[0]), l = o.map((f) => f[1]), m = new Uint8Array(new Int32Array(c).buffer), d = new Uint8Array(new Int32Array(l).buffer); - return jO(a, u, e.shape.length, Fe[e.dtype], m, d, tI[n], p), i; + return dM(a, u, e.shape.length, we[e.dtype], m, d, bv[n], p), i; } -var XO = { kernelName: vn, backendName: "wasm", kernelFunc: TJ, setupFunc: NJ }; -var _J = true; -var YO = rt(kn, _J); -var QO = Ve(vs); -function wc(r, e) { +var fM = { kernelName: Gn, backendName: "wasm", kernelFunc: Ioe, setupFunc: Soe }; +var hM; +function voe(r) { + hM = r.wasm.cwrap(bs, null, ["number", "number", "number", "number"]); +} +function Cv(r) { + let { backend: e, inputs: { logits: t10 }, attrs: { dim: o } } = r, n = e.dataIdMap.get(t10.dataId).id, s = e.makeOutput(t10.shape, t10.dtype), a = e.dataIdMap.get(s.dataId).id, i = t10.shape[o], p = y.sizeFromShape(t10.shape) / i; + return y.sizeFromShape(s.shape) === 0 || hM(n, a, i, p), s; +} +var gM = { kernelName: bs, backendName: "wasm", setupFunc: voe, kernelFunc: Cv }; +var xM; +function koe(r) { + xM = r.wasm.cwrap(Hn, null, ["number", "number", "number", "number", "number", "number"]); +} +function Noe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { numSamples: s, seed: a, normalized: i } = o; + if (n.dtype !== "float32") + throw new Error(`Tensor logits must have dtype float32, got ${n.dtype}`); + let p = i ? n : Cv({ inputs: { logits: n }, backend: t10, attrs: { dim: n.shape.length - 1 } }), [u, c] = p.shape, l = t10.makeOutput([u, s], "int32"); + return xM(t10.dataIdMap.get(p.dataId).id, u, c, s, a, t10.dataIdMap.get(l.dataId).id), i || t10.disposeData(p.dataId), l; +} +var yM = { kernelName: Hn, backendName: "wasm", setupFunc: koe, kernelFunc: Noe }; +var Toe = true; +var bM = Je(Kn, Toe); +var CM = Ce(oa); +function Hc(r, e) { let t10 = new Int32Array(r.wasm.HEAPU8.buffer, e, 4), o = t10[0], n = t10[1], s = t10[2], a = t10[3]; return r.wasm._free(e), { pSelectedIndices: o, selectedSize: n, pSelectedScores: s, pValidOutputs: a }; } -var ZO; -function $J(r) { - ZO = r.wasm.cwrap(Tn, "number", ["number", "number", "number", "number", "number"]); +var wM; +function _oe(r) { + wM = r.wasm.cwrap(jn, "number", ["number", "number", "number", "number", "number"]); } -function EJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a } = o, { boxes: i, scores: p } = t10, u = e.dataIdMap.get(i.dataId).id, c = e.dataIdMap.get(p.dataId).id, l = ZO(u, c, s, n, a), { pSelectedIndices: m, selectedSize: d, pSelectedScores: f, pValidOutputs: h } = wc(e, l); +function $oe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a } = o, { boxes: i, scores: p } = t10, u = e.dataIdMap.get(i.dataId).id, c = e.dataIdMap.get(p.dataId).id, l = wM(u, c, s, n, a), { pSelectedIndices: m, selectedSize: d, pSelectedScores: f, pValidOutputs: h } = Hc(e, l); return e.wasm._free(f), e.wasm._free(h), e.makeOutput([d], "int32", m); } -var JO = { kernelName: Tn, backendName: "wasm", setupFunc: $J, kernelFunc: EJ }; -var eP; -function AJ(r) { - eP = r.wasm.cwrap(ba, "number", ["number", "number", "number", "number", "number", "bool"]); +var SM = { kernelName: jn, backendName: "wasm", setupFunc: _oe, kernelFunc: $oe }; +var IM; +function Eoe(r) { + IM = r.wasm.cwrap(Ha, "number", ["number", "number", "number", "number", "number", "bool"]); } -function RJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a, padToMaxOutputSize: i } = o, { boxes: p, scores: u } = t10, c = e.dataIdMap.get(p.dataId).id, l = e.dataIdMap.get(u.dataId).id, m = eP(c, l, s, n, a, i), { pSelectedIndices: d, selectedSize: f, pSelectedScores: h, pValidOutputs: g } = wc(e, m); +function Roe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a, padToMaxOutputSize: i } = o, { boxes: p, scores: u } = t10, c = e.dataIdMap.get(p.dataId).id, l = e.dataIdMap.get(u.dataId).id, m = IM(c, l, s, n, a, i), { pSelectedIndices: d, selectedSize: f, pSelectedScores: h, pValidOutputs: g } = Hc(e, m); e.wasm._free(h); let x = e.makeOutput([f], "int32", d), b = e.makeOutput([], "int32", g); return [x, b]; } -var tP = { kernelName: ba, backendName: "wasm", setupFunc: AJ, kernelFunc: RJ }; -var rP; -function DJ(r) { - rP = r.wasm.cwrap(_n, "number", ["number", "number", "number", "number", "number", "number"]); +var vM = { kernelName: Ha, backendName: "wasm", setupFunc: Eoe, kernelFunc: Roe }; +var kM; +function Doe(r) { + kM = r.wasm.cwrap(Xn, "number", ["number", "number", "number", "number", "number", "number"]); } -function FJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a, softNmsSigma: i } = o, { boxes: p, scores: u } = t10, c = e.dataIdMap.get(p.dataId).id, l = e.dataIdMap.get(u.dataId).id, m = rP(c, l, s, n, a, i), { pSelectedIndices: d, selectedSize: f, pSelectedScores: h, pValidOutputs: g } = wc(e, m); +function Aoe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { iouThreshold: n, maxOutputSize: s, scoreThreshold: a, softNmsSigma: i } = o, { boxes: p, scores: u } = t10, c = e.dataIdMap.get(p.dataId).id, l = e.dataIdMap.get(u.dataId).id, m = kM(c, l, s, n, a, i), { pSelectedIndices: d, selectedSize: f, pSelectedScores: h, pValidOutputs: g } = Hc(e, m); e.wasm._free(g); let x = e.makeOutput([f], "int32", d), b = e.makeOutput([f], "float32", h); return [x, b]; } -var oP = { kernelName: _n, backendName: "wasm", setupFunc: DJ, kernelFunc: FJ }; -var OJ = false; -var nP = rt(Nn, OJ, "bool"); -var sP; -function PJ(r) { - sP = r.wasm.cwrap($n, null, ["number", "number", "number", "number", "number"]); +var NM = { kernelName: Xn, backendName: "wasm", setupFunc: Doe, kernelFunc: Aoe }; +var Foe = false; +var TM = Je(qn, Foe, "bool"); +var _M; +function Poe(r) { + _M = r.wasm.cwrap(Yn, null, ["number", "number", "number", "number", "number"]); } -function MJ(r) { +function Ooe(r) { let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o, u = t10.makeOutput([...n.shape, a], s), c = t10.dataIdMap.get(u.dataId).id, m = t10.dataIdMap.get(n.dataId).id; - return sP(m, a, i, p, c), u; + return _M(m, a, i, p, c), u; } -var aP = { kernelName: $n, backendName: "wasm", setupFunc: PJ, kernelFunc: MJ }; -function LJ(r) { +var $M = { kernelName: Yn, backendName: "wasm", setupFunc: Poe, kernelFunc: Ooe }; +function Moe(r) { let { inputs: { x: e }, backend: t10 } = r, o = t10.makeOutput(e.shape, e.dtype); return t10.typedArrayFromHeap(o).fill(1), o; } -var iP = { kernelName: ks, backendName: "wasm", kernelFunc: LJ }; -function BJ(r) { +var EM = { kernelName: na, backendName: "wasm", kernelFunc: Moe }; +function Loe(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o; if (e.length === 1) - return yg({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); + return Pg({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); let s = e[0].shape, a = e[0].dtype; e.forEach((c) => { y.assertShapesMatch(s, c.shape, "All tensors passed to stack must have matching shapes"), y.assert(a === c.dtype, () => "All tensors passed to stack must have matching dtypes"); }); let i = [], p = e.map((c) => { - let l = yg({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); + let l = Pg({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); return i.push(l), l; - }), u = Zw({ inputs: p, backend: t10, attrs: { axis: n } }); + }), u = gv({ inputs: p, backend: t10, attrs: { axis: n } }); return i.forEach((c) => t10.disposeData(c.dataId)), u; } -var uP = { kernelName: Ns, backendName: "wasm", kernelFunc: BJ }; -var pP; -function VJ(r) { - pP = r.wasm.cwrap(En, null, ["number", "array", "number", "number", "array", "array", "number", "number"]); +var RM = { kernelName: sa, backendName: "wasm", kernelFunc: Loe }; +var DM; +function Boe(r) { + DM = r.wasm.cwrap(Qn, null, ["number", "array", "number", "number", "array", "array", "number", "number"]); } -function zJ(r) { +function zoe(r) { let { inputs: { x: e }, backend: t10, attrs: { paddings: o, constantValue: n } } = r, s = o.map((h, g) => h[0] + e.shape[g] + h[1]); if (y.sizeFromShape(e.shape) === 0) - return eI({ backend: t10, attrs: { shape: s, value: n, dtype: e.dtype } }); + return yv({ backend: t10, attrs: { shape: s, value: n, dtype: e.dtype } }); let a = t10.dataIdMap.get(e.dataId).id, i = t10.makeOutput(s, e.dtype), u = t10.dataIdMap.get(i.dataId).id, c = new Uint8Array(new Int32Array(e.shape).buffer), l = o.map((h) => h[0]), m = o.map((h) => h[1]), d = new Uint8Array(new Int32Array(l).buffer), f = new Uint8Array(new Int32Array(m).buffer); - return pP(a, c, e.shape.length, Fe[e.dtype], d, f, n, u), i; + return DM(a, c, e.shape.length, we[e.dtype], d, f, n, u), i; } -var bg = { kernelName: En, backendName: "wasm", kernelFunc: zJ, setupFunc: VJ }; -var WJ = false; -var cP = rt(An, WJ); -var lP; -function UJ(r) { - lP = r.wasm.cwrap(Rn, null, ["number", "number", "number"]); +var Og = { kernelName: Qn, backendName: "wasm", kernelFunc: zoe, setupFunc: Boe }; +var Voe = false; +var AM = Je(Zn, Voe); +var FM; +function Woe(r) { + FM = r.wasm.cwrap(Jn, null, ["number", "number", "number"]); } -function GJ(r) { +function Uoe(r) { let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e, s = t10.dataIdMap.get(o.dataId).id, a = t10.dataIdMap.get(n.dataId).id, i = s, p = o, u = p; - p.dtype !== "float32" && (u = ms({ backend: t10, inputs: { x: o }, attrs: { dtype: "float32" } }), i = t10.dataIdMap.get(u.dataId).id); + p.dtype !== "float32" && (u = Pr({ backend: t10, inputs: { x: o }, attrs: { dtype: "float32" } }), i = t10.dataIdMap.get(u.dataId).id); let c = t10.makeOutput(o.shape, "float32"), l = t10.dataIdMap.get(c.dataId).id; - return lP(i, a, l), p.dtype !== "float32" && t10.disposeData(u.dataId), c; + return FM(i, a, l), p.dtype !== "float32" && t10.disposeData(u.dataId), c; } -var mP = { kernelName: Rn, backendName: "wasm", setupFunc: UJ, kernelFunc: GJ }; -var dP; -function HJ(r) { - dP = r.wasm.cwrap(Dn, null, ["number", "number", "number", "number"]); +var PM = { kernelName: Jn, backendName: "wasm", setupFunc: Woe, kernelFunc: Uoe }; +var OM; +function Goe(r) { + OM = r.wasm.cwrap(es, null, ["number", "number", "number", "number"]); } -function KJ(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e), f = l; +function Hoe(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e), f = l; if (d) { - let C = e.dataIdMap.get(c.dataId).id; - C !== i && (u = c, p = C, f = S.getInnerMostAxes(f.length, u.shape.length)); + let w = e.dataIdMap.get(c.dataId).id; + w !== i && (u = c, p = w, f = C.getInnerMostAxes(f.length, u.shape.length)); } - S.assertAxesAreInnerMostDims("prod", f, u.shape.length); - let [h, g] = S.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); + C.assertAxesAreInnerMostDims("prod", f, u.shape.length); + let [h, g] = C.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - dP(p, x, Fe[b.dtype], C); + let w = e.dataIdMap.get(b.dataId).id; + OM(p, x, we[b.dtype], w); } if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; } return b; } -var fP = { kernelName: Dn, backendName: "wasm", setupFunc: HJ, kernelFunc: KJ }; -var qJ = (r) => { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = _u(o, n, s, a), p = e.makeOutput([i.length], a); +var MM = { kernelName: es, backendName: "wasm", setupFunc: Goe, kernelFunc: Hoe }; +var Koe = (r) => { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = ap(o, n, s, a), p = e.makeOutput([i.length], a); return e.typedArrayFromHeap(p).set(i), p; }; -var hP = { kernelName: Ts, backendName: "wasm", kernelFunc: qJ }; -var jJ = true; -var gP = rt(Zo, jJ); -var xP = Ve(Fn); -var yP = Ve(On); -var bP = Ve(Ln); -var CP; -function XJ(r) { - CP = r.wasm.cwrap(Mn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var LM = { kernelName: aa, backendName: "wasm", kernelFunc: Koe }; +var qoe = true; +var BM = Je(dn, qoe); +var zM = Ce(ts); +var VM = Ce(rs); +var WM = Ce(ss); +var UM; +function joe(r) { + UM = r.wasm.cwrap(ns, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function YJ(r) { +function Xoe(r) { let { backend: e, inputs: t10, attrs: o } = r, { images: n } = t10, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, [c, l, m, d] = n.shape, f = [c, p, u, d], h = e.dataIdMap.get(n.dataId), g; - h.dtype !== "float32" && (g = ms({ backend: e, inputs: { x: n }, attrs: { dtype: "float32" } }), h = e.dataIdMap.get(g.dataId)); + h.dtype !== "float32" && (g = Pr({ backend: e, inputs: { x: n }, attrs: { dtype: "float32" } }), h = e.dataIdMap.get(g.dataId)); let x = h.id, b = e.makeOutput(f, "float32"); if (y.sizeFromShape(n.shape) === 0) return b; - let C = e.dataIdMap.get(b.dataId).id; - return CP(x, c, l, m, d, p, u, s ? 1 : 0, a ? 1 : 0, C), g != null && e.disposeData(g.dataId), b; + let w = e.dataIdMap.get(b.dataId).id; + return UM(x, c, l, m, d, p, u, s ? 1 : 0, a ? 1 : 0, w), g != null && e.disposeData(g.dataId), b; } -var SP = { kernelName: Mn, backendName: "wasm", setupFunc: XJ, kernelFunc: YJ }; -var wP; -function QJ(r) { - wP = r.wasm.cwrap(Pn, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var GM = { kernelName: ns, backendName: "wasm", setupFunc: joe, kernelFunc: Xoe }; +var HM; +function Yoe(r) { + HM = r.wasm.cwrap(qa, null, ["number", "number", "number", "array", "array", "boolean"]); } -function ZJ(r) { +function Qoe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = t10.makeOutput(n.shape, "float32"), p = t10.dataIdMap.get(n.dataId), u; + return p.dtype !== "float32" && (u = Pr({ backend: t10, inputs: { x: n }, attrs: { dtype: "float32" } }), p = t10.dataIdMap.get(u.dataId)), HM(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(i.dataId).id, new Uint8Array(new Int32Array(n.shape).buffer), new Uint8Array(new Int32Array(s.shape).buffer), a), u != null && t10.disposeData(u.dataId), i; +} +var KM = { kernelName: qa, backendName: "wasm", setupFunc: Yoe, kernelFunc: Qoe }; +var qM; +function Zoe(r) { + qM = r.wasm.cwrap(os, null, ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +} +function Joe(r) { let { backend: e, inputs: t10, attrs: o } = r, { images: n } = t10, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, [c, l, m, d] = n.shape, f = [c, p, u, d], h = e.makeOutput(f, "float32"); if (y.sizeFromShape(n.shape) === 0) return h; let g = e.dataIdMap.get(n.dataId), x; - g.dtype !== "float32" && (x = ms({ backend: e, inputs: { x: n }, attrs: { dtype: "float32" } }), g = e.dataIdMap.get(x.dataId)); - let b = g.id, C = e.dataIdMap.get(h.dataId).id; - return wP(b, c, l, m, d, p, u, s ? 1 : 0, a ? 1 : 0, C), x != null && e.disposeData(x.dataId), h; + g.dtype !== "float32" && (x = Pr({ backend: e, inputs: { x: n }, attrs: { dtype: "float32" } }), g = e.dataIdMap.get(x.dataId)); + let b = g.id, w = e.dataIdMap.get(h.dataId).id; + return qM(b, c, l, m, d, p, u, s ? 1 : 0, a ? 1 : 0, w), x != null && e.disposeData(x.dataId), h; } -var IP = { kernelName: Pn, backendName: "wasm", setupFunc: QJ, kernelFunc: ZJ }; -var vP; -function JJ(r) { - vP = r.wasm.cwrap(Bn, null, ["number", "array", "number", "array", "number", "number"]); +var jM = { kernelName: os, backendName: "wasm", setupFunc: Zoe, kernelFunc: Joe }; +var XM; +function ene(r) { + XM = r.wasm.cwrap(Ka, null, ["number", "number", "number", "array", "array", "boolean"]); } -function eee(r) { +function tne(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, i = t10.makeOutput(n.shape, "float32"), p = t10.dataIdMap.get(n.dataId), u; + return p.dtype !== "float32" && (u = Pr({ backend: t10, inputs: { x: n }, attrs: { dtype: "float32" } }), p = t10.dataIdMap.get(u.dataId)), XM(t10.dataIdMap.get(n.dataId).id, t10.dataIdMap.get(s.dataId).id, t10.dataIdMap.get(i.dataId).id, new Uint8Array(new Int32Array(n.shape).buffer), new Uint8Array(new Int32Array(s.shape).buffer), a), u != null && t10.disposeData(u.dataId), i; +} +var YM = { kernelName: Ka, backendName: "wasm", setupFunc: ene, kernelFunc: tne }; +var QM; +function rne(r) { + QM = r.wasm.cwrap(as, null, ["number", "array", "number", "array", "number", "number"]); +} +function one(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dims: s } = o, a = y.parseAxisParam(s, n.shape); if (n.shape.length === 0) - return Hu({ inputs: { x: n }, backend: t10 }); + return vp({ inputs: { x: n }, backend: t10 }); let i = t10.makeOutput(n.shape, n.dtype), p = t10.dataIdMap.get(n.dataId).id, u = t10.dataIdMap.get(i.dataId).id, c = new Uint8Array(new Int32Array(a).buffer), l = new Uint8Array(new Int32Array(n.shape).buffer); - vP(p, c, a.length, l, n.shape.length, u); - let m = Lt({ inputs: { x: i }, attrs: { shape: n.shape }, backend: t10 }); + QM(p, c, a.length, l, n.shape.length, u); + let m = zt({ inputs: { x: i }, attrs: { shape: n.shape }, backend: t10 }); return t10.disposeData(i.dataId), m; } -var kP = { kernelName: Bn, backendName: "wasm", kernelFunc: eee, setupFunc: JJ }; -var NP; -function tee(r) { - NP = r.wasm.cwrap(ts, null, ["number", "number", "number", "number", "number", "number", "number", "number", "array", "number", "number"]); +var ZM = { kernelName: as, backendName: "wasm", kernelFunc: one, setupFunc: rne }; +var JM; +function nne(r) { + JM = r.wasm.cwrap(_s, null, ["number", "number", "number", "number", "number", "number", "number", "number", "array", "number", "number"]); } -function ree(r) { - let { inputs: e, backend: t10, attrs: o } = r, { image: n } = e, { radians: s, fillValue: a, center: i } = o, p = t10.makeOutput(n.shape, n.dtype), u = t10.dataIdMap.get(n.dataId).id, c = t10.dataIdMap.get(p.dataId).id, [l, m, d, f] = n.shape, [h, g] = S.getImageCenter(i, m, d), x = a === 0, b = 255, C = typeof a == "number" ? [a, a, a, x ? 0 : b] : [...a, b], w = new Uint8Array(new Int32Array(C).buffer); - return NP(u, l, m, d, f, s, h, g, w, C.length, c), p; +function sne(r) { + let { inputs: e, backend: t10, attrs: o } = r, { image: n } = e, { radians: s, fillValue: a, center: i } = o, p = t10.makeOutput(n.shape, n.dtype), u = t10.dataIdMap.get(n.dataId).id, c = t10.dataIdMap.get(p.dataId).id, [l, m, d, f] = n.shape, [h, g] = C.getImageCenter(i, m, d), x = a === 0, b = 255, w = typeof a == "number" ? [a, a, a, x ? 0 : b] : [...a, b], S = new Uint8Array(new Int32Array(w).buffer); + return JM(u, l, m, d, f, s, h, g, S, w.length, c), p; } -var TP = { kernelName: ts, backendName: "wasm", kernelFunc: ree, setupFunc: tee }; -var _P = Ve(Vn); -var $P = Ve(zn); -var EP; -function oee(r) { - EP = r.wasm.cwrap(Wn, null, ["number", "number", "number", "number", "number", "number", "array", "number", "number"]); +var eL = { kernelName: _s, backendName: "wasm", kernelFunc: sne, setupFunc: nne }; +var tL = Ce(is); +var rL = Ce(us); +var oL; +function ane(r) { + oL = r.wasm.cwrap(ps, null, ["number", "number", "number", "number", "number", "number", "array", "number", "number"]); } -function nee(r) { +function ine(r) { let { backend: e, inputs: t10, attrs: o } = r, { indices: n, updates: s } = t10, { shape: a } = o, i = e.makeOutput(a, s.dtype); if (y.sizeFromShape(a) === 0) return i; - let { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = sl.calculateShapes(s, n, a), f = e.dataIdMap.get(n.dataId).id, g = e.dataIdMap.get(s.dataId).id, x = new Uint8Array(new Int32Array(l).buffer), b = e.dataIdMap.get(i.dataId).id; - return EP(f, g, Fe[s.dtype], p, u, c, x, m, b), i; + let { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = pu.calculateShapes(s, n, a), f = e.dataIdMap.get(n.dataId).id, g = e.dataIdMap.get(s.dataId).id, x = new Uint8Array(new Int32Array(l).buffer), b = e.dataIdMap.get(i.dataId).id; + return oL(f, g, we[s.dtype], p, u, c, x, m, b), i; } -var AP = { kernelName: Wn, backendName: "wasm", setupFunc: oee, kernelFunc: nee }; -var RP; -function see(r) { - RP = r.wasm.cwrap("SelectV2", null, ["number", "number", "number", "number", "number"]); +var nL = { kernelName: ps, backendName: "wasm", setupFunc: ane, kernelFunc: ine }; +var sL; +function une(r) { + sL = r.wasm.cwrap(ls, null, ["number", "number", "number", "number", "number", "number", "bool", "number"]); } -function aee(r) { +function pne(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o; + if (n.dtype !== s.dtype) + throw new Error(`SearchSorted error: sorted_sequence must have the same dtype as values. Got ${n.dtype} and ${s.dtype}`); + let i = t10.makeOutput(s.shape, "int32"); + function p(u) { + return t10.dataIdMap.get(u.dataId).id; + } + return sL(p(n), p(s), n.shape[0], n.shape[1], s.shape[1], we[n.dtype], a === "left", p(i)), i; +} +var aL = { kernelName: ls, backendName: "wasm", setupFunc: une, kernelFunc: pne }; +var iL; +function cne(r) { + iL = r.wasm.cwrap("SelectV2", null, ["number", "number", "number", "number", "number"]); +} +function lne(r) { let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e, a = t10.dataIdMap.get(o.dataId).id, i = t10.dataIdMap.get(n.dataId).id, p = t10.dataIdMap.get(s.dataId).id, u = t10.makeOutput(n.shape, n.dtype), c = t10.dataIdMap.get(u.dataId).id, l = o.shape.length, m = n.shape.length, d = l === 0 || l > 1 || m === 1 ? 1 : y.sizeFromShape(n.shape.slice(1)); - return RP(a, i, p, d, c), u; + return iL(a, i, p, d, c), u; } -var DP = { kernelName: $s, backendName: "wasm", kernelFunc: aee, setupFunc: see }; -var FP; -function iee(r) { - FP = r.wasm.cwrap(Gn, null, ["number", "number"]); +var uL = { kernelName: ua, backendName: "wasm", kernelFunc: lne, setupFunc: cne }; +var pL = Ce(ms); +var cL; +function mne(r) { + cL = r.wasm.cwrap(hs, null, ["number", "number"]); } -function uee(r) { +function dne(r) { let { backend: e, inputs: { x: t10 } } = r, o = e.dataIdMap.get(t10.dataId).id, n = e.makeOutput(t10.shape, t10.dtype), s = e.dataIdMap.get(n.dataId).id; - return y.sizeFromShape(n.shape) === 0 || FP(o, s), n; + return y.sizeFromShape(n.shape) === 0 || cL(o, s), n; } -var OP = { kernelName: "Sigmoid", backendName: "wasm", setupFunc: iee, kernelFunc: uee }; -var PP = Ve(Un); -var MP; -function pee(r) { - MP = r.wasm.cwrap(qn, null, ["number", "number", "number", "number"]); -} -function cee(r) { - let { backend: e, inputs: { logits: t10 }, attrs: { dim: o } } = r, n = e.dataIdMap.get(t10.dataId).id, s = e.makeOutput(t10.shape, t10.dtype), a = e.dataIdMap.get(s.dataId).id, i = t10.shape[o], p = y.sizeFromShape(t10.shape) / i; - return y.sizeFromShape(s.shape) === 0 || MP(n, a, i, p), s; -} -var LP = { kernelName: qn, backendName: "wasm", setupFunc: pee, kernelFunc: cee }; -function lee(r) { +var lL = { kernelName: "Sigmoid", backendName: "wasm", setupFunc: mne, kernelFunc: dne }; +var mL = Ce(fs); +var dL = Ce(ds); +var fL = Ce(gs); +function fne(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, paddings: a } = o, i = y.sizeFromShape(s), p = [[0, 0]]; p.push(...a); for (let _ = 1 + s.length; _ < n.shape.length; ++_) p.push([0, 0]); - let u = bg.kernelFunc({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), c = S.getReshaped(u.shape, s, i, false), l = S.getPermuted(c.length, s.length, false), m = S.getReshapedPermuted(u.shape, s, i, false), h = Lt({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), b = uo({ inputs: { x: h }, backend: t10, attrs: { perm: l } }), k = Lt({ inputs: { x: b }, backend: t10, attrs: { shape: m } }); + let u = Og.kernelFunc({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), c = C.getReshaped(u.shape, s, i, false), l = C.getPermuted(c.length, s.length, false), m = C.getReshapedPermuted(u.shape, s, i, false), h = zt({ inputs: { x: u }, backend: t10, attrs: { shape: c } }), b = mo({ inputs: { x: h }, backend: t10, attrs: { perm: l } }), k = zt({ inputs: { x: b }, backend: t10, attrs: { shape: m } }); return t10.disposeData(u.dataId), t10.disposeData(h.dataId), t10.disposeData(b.dataId), k; } -var BP = { kernelName: As, backendName: "wasm", kernelFunc: lee }; -var VP; -function mee(r) { - VP = r.wasm.cwrap("SparseFillEmptyRows", "number", ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var hL = { kernelName: ca, backendName: "wasm", kernelFunc: fne }; +var gL; +function hne(r) { + gL = r.wasm.cwrap("SparseFillEmptyRows", "number", ["number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function dee(r) { - let { backend: e, inputs: t10 } = r, { indices: o, values: n, denseShape: s, defaultValue: a } = t10, i = o.shape[0], p = o.shape[1], u = e.readSync(s.dataId)[0], c = [i + u, p], l = e.dataIdMap.get(o.dataId).id, m = e.dataIdMap.get(n.dataId).id, d = e.dataIdMap.get(a.dataId).id, f = e.makeOutput(c, o.dtype), h = e.dataIdMap.get(f.dataId).id, g = e.makeOutput(c.slice(0, 1), n.dtype), x = e.dataIdMap.get(g.dataId).id, b = e.makeOutput([u], "bool"), C = e.dataIdMap.get(b.dataId).id, w = e.makeOutput([i], o.dtype), k = e.dataIdMap.get(w.dataId).id, _ = e.makeOutput([4], "int32"), E = e.dataIdMap.get(_.dataId).id, A = VP(l, m, Fe[n.dtype], i, u, p, d, h, x, C, k, E), R = e.readSync(_.dataId), D; - switch (R[0]) { +function gne(r) { + let { backend: e, inputs: t10 } = r, { indices: o, values: n, denseShape: s, defaultValue: a } = t10, i = o.shape[0], p = o.shape[1], u = e.readSync(s.dataId)[0], c = [i + u, p], l = e.dataIdMap.get(o.dataId).id, m = e.dataIdMap.get(n.dataId).id, d = e.dataIdMap.get(a.dataId).id, f = e.makeOutput(c, o.dtype), h = e.dataIdMap.get(f.dataId).id, g = e.makeOutput(c.slice(0, 1), n.dtype), x = e.dataIdMap.get(g.dataId).id, b = e.makeOutput([u], "bool"), w = e.dataIdMap.get(b.dataId).id, S = e.makeOutput([i], o.dtype), k = e.dataIdMap.get(S.dataId).id, _ = e.makeOutput([4], "int32"), E = e.dataIdMap.get(_.dataId).id, R = gL(l, m, we[n.dtype], i, u, p, d, h, x, w, k, E), D = e.readSync(_.dataId), F; + switch (D[0]) { case 1: { - D = S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(R[1]); + F = C.getSparseFillEmptyRowsIndicesDenseShapeMismatch(D[1]); break; } case 2: { - D = S.getSparseFillEmptyRowsNegativeIndexErrorMessage(R[1], R[2]); + F = C.getSparseFillEmptyRowsNegativeIndexErrorMessage(D[1], D[2]); break; } case 3: - D = S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(R[1], R[2], R[3]); + F = C.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(D[1], D[2], D[3]); break; default: - D = ""; + F = ""; } - if (e.disposeData(_.dataId), D) - throw e.disposeData(f.dataId), e.disposeData(g.dataId), e.disposeData(b.dataId), e.disposeData(w.dataId), new Error(D); - let P = f, M = g; - return A !== c[0] && (P = Eo({ inputs: { x: f }, attrs: { begin: 0, size: [A, p] }, backend: e }), M = Eo({ inputs: { x: g }, attrs: { begin: 0, size: A }, backend: e }), e.disposeData(f.dataId), e.disposeData(g.dataId)), [P, M, b, w]; + if (e.disposeData(_.dataId), F) + throw e.disposeData(f.dataId), e.disposeData(g.dataId), e.disposeData(b.dataId), e.disposeData(S.dataId), new Error(F); + let O = f, M = g; + return R !== c[0] && (O = Ao({ inputs: { x: f }, attrs: { begin: 0, size: [R, p] }, backend: e }), M = Ao({ inputs: { x: g }, attrs: { begin: 0, size: R }, backend: e }), e.disposeData(f.dataId), e.disposeData(g.dataId)), [O, M, b, S]; } -var zP = { kernelName: hi, backendName: "wasm", setupFunc: mee, kernelFunc: dee }; -var WP; -function fee(r) { - WP = r.wasm.cwrap(va, null, ["number", "number", "number", "number", "number", "number", "number"]); +var xL = { kernelName: Vi, backendName: "wasm", setupFunc: hne, kernelFunc: gne }; +var yL; +function xne(r) { + yL = r.wasm.cwrap(Xa, null, ["number", "number", "number", "number", "number", "number", "number"]); } -function hee(r) { +function yne(r) { let { backend: e, inputs: t10 } = r, { inputIndices: o, inputShape: n, newShape: s } = t10; if (o.shape.length !== 2) throw new Error(`Input indices should be a matrix but received shape @@ -25130,28 +25929,28 @@ function hee(r) { if (s.shape.length !== 1) throw new Error(`Target shape should be a vector but received shape ${s.shape}`); let a = e.dataIdMap.get(o.dataId).id, i = e.dataIdMap.get(n.dataId).id, p = e.dataIdMap.get(s.dataId).id, u = o.shape[0], c = y.sizeFromShape(s.shape), l = e.makeOutput([u, c], o.dtype), m = e.dataIdMap.get(l.dataId).id, d = e.makeOutput([c], s.dtype), f = e.dataIdMap.get(d.dataId).id, h = e.makeOutput([3], "int32"), g = e.dataIdMap.get(h.dataId).id; - WP(a, i, p, u, m, f, g); + yL(a, i, p, u, m, f, g); let x = e.readSync(h.dataId), b; switch (x[0]) { case 0: { - b = S.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(x[1], x[2]); + b = C.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(x[1], x[2]); break; } case 1: { - b = S.getSparseReshapeNegativeOutputDimErrorMessage(x[1], x[2]); + b = C.getSparseReshapeNegativeOutputDimErrorMessage(x[1], x[2]); break; } case 2: - b = S.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage(); + b = C.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage(); break; case 3: { - let C = Array.from(e.readSync(n.dataId)), w = Array.from(e.readSync(d.dataId)); - b = S.getSparseReshapeInputOutputMultipleErrorMessage(C, w); + let w = Array.from(e.readSync(n.dataId)), S = Array.from(e.readSync(d.dataId)); + b = C.getSparseReshapeInputOutputMultipleErrorMessage(w, S); break; } case 4: { - let C = Array.from(e.readSync(n.dataId)), w = Array.from(e.readSync(d.dataId)); - b = S.getSparseReshapeInputOutputMismatchErrorMessage(C, w); + let w = Array.from(e.readSync(n.dataId)), S = Array.from(e.readSync(d.dataId)); + b = C.getSparseReshapeInputOutputMismatchErrorMessage(w, S); break; } default: @@ -25161,190 +25960,219 @@ function hee(r) { throw e.disposeData(l.dataId), e.disposeData(d.dataId), new Error(b); return [l, d]; } -var UP = { kernelName: va, backendName: "wasm", setupFunc: fee, kernelFunc: hee }; -var GP; -function Cg(r) { - GP = r.wasm.cwrap("SparseSegmentReduction", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number"]); +var bL = { kernelName: Xa, backendName: "wasm", setupFunc: xne, kernelFunc: yne }; +var CL; +function Mg(r) { + CL = r.wasm.cwrap("SparseSegmentReduction", null, ["number", "number", "number", "number", "number", "number", "number", "number", "number"]); } -function Sg(r, e) { +function Lg(r, e) { let { backend: t10, inputs: o } = r, { data: n, indices: s, segmentIds: a } = o, i = s.shape[0], p = t10.readSync(a.dataId, i - 1, i)[0], c = i > 0 ? p + 1 : 0; if (c < 0) - throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); + throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage()); let l = n.shape.slice(); l[0] = c; let m = t10.dataIdMap.get(n.dataId).id, d = t10.dataIdMap.get(s.dataId).id, f = t10.dataIdMap.get(a.dataId).id, h = t10.makeOutput(l, n.dtype), g = t10.dataIdMap.get(h.dataId).id, x = t10.makeOutput([4], "int32"), b = t10.dataIdMap.get(x.dataId).id; - GP(m, Fe[n.dtype], n.shape[0], d, f, g, b, e, 0); - let C = t10.readSync(x.dataId), w; - switch (C[0]) { + CL(m, we[n.dtype], n.shape[0], d, f, g, b, e, 0); + let w = t10.readSync(x.dataId), S; + switch (w[0]) { case 0: { - w = S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage(); + S = C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage(); break; } case 1: { - w = S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage(); + S = C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage(); break; } case 2: - w = S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(C[1], C[2]); + S = C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1], w[2]); break; case 3: - w = S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C[1], C[2], C[3]); + S = C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1], w[2], w[3]); break; default: - w = ""; + S = ""; } - if (t10.disposeData(x.dataId), w) - throw t10.disposeData(h.dataId), new Error(w); + if (t10.disposeData(x.dataId), S) + throw t10.disposeData(h.dataId), new Error(S); return h; } -function gee(r) { - return Sg(r, true); +function bne(r) { + return Lg(r, true); } -var HP = { kernelName: gi, backendName: "wasm", setupFunc: Cg, kernelFunc: gee }; -function xee(r) { - return Sg(r, false); +var wL = { kernelName: Wi, backendName: "wasm", setupFunc: Mg, kernelFunc: bne }; +function Cne(r) { + return Lg(r, false); } -var KP = { kernelName: xi, backendName: "wasm", setupFunc: Cg, kernelFunc: xee }; -function yee(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = t10, i = y.parseAxisParam(a, n.shape)[0], p = S.prepareSplitSize(n, s, i), u = new Array(n.shape.length).fill(0), c = n.shape.slice(); +var SL = { kernelName: Ui, backendName: "wasm", setupFunc: Mg, kernelFunc: Cne }; +var IL; +function wne(r) { + IL = r.wasm.cwrap(Cs, null, ["number", "number", "number", "number", "number", "number", "number", "number", "array", "number", "number"]); +} +function Sne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = t10, { outputShape: i } = o, p = e.makeOutput(i, a.dtype); + if (y.sizeFromShape(i) === 0) + return p; + let { sliceRank: u, numUpdates: c, sliceSize: l, strides: m, outputSize: d } = C.calculateShapes(s, n, i), f = e.dataIdMap.get(n.dataId).id, h = e.dataIdMap.get(s.dataId).id, g = e.dataIdMap.get(a.dataId).id, x = new Uint8Array(new Int32Array(m).buffer), b = e.dataIdMap.get(p.dataId).id; + return IL(f, h, s.shape.length, g, we[a.dtype], u, c, l, x, d, b), p; +} +var vL = { kernelName: Cs, backendName: "wasm", setupFunc: wne, kernelFunc: Sne }; +function Ine(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = t10, i = y.parseAxisParam(a, n.shape)[0], p = C.prepareSplitSize(n, s, i), u = new Array(n.shape.length).fill(0), c = n.shape.slice(); return p.map((l) => { let m = [...c]; m[i] = l; - let d = Eo({ inputs: { x: n }, attrs: { begin: u, size: m }, backend: o }); + let d = Ao({ inputs: { x: n }, attrs: { begin: u, size: m }, backend: o }); return u[i] += l, d; }); } -var qP = { kernelName: Rs, backendName: "wasm", kernelFunc: yee }; -var jP = Ve(Hn); -var XP = Ve(bi); -var bee = true; -var YP = rt(jn, bee); -var QP; -function Cee(r) { - QP = r.wasm.cwrap(fo, null, ["number", "number", "number", "number"]); +var kL = { kernelName: la, backendName: "wasm", kernelFunc: Ine }; +var NL = Ce(xs); +var TL = Ce(Gi); +var vne = true; +var _L = Je(ws, vne); +var $L; +function kne(r) { + $L = r.wasm.cwrap(yo, null, ["number", "number", "number", "number"]); } -function See(r) { +function Nne(r) { let { backend: e, inputs: t10, attrs: o } = r, { alpha: n } = o, { x: s } = t10, a = e.dataIdMap.get(s.dataId).id, i = e.makeOutput(s.shape, s.dtype), p = e.dataIdMap.get(i.dataId).id; - return QP(a, n, Fe[s.dtype], p), i; + return $L(a, n, we[s.dtype], p), i; } -var ZP = { kernelName: fo, backendName: "wasm", setupFunc: Cee, kernelFunc: See }; -var JP; -function wee(r) { - JP = r.wasm.cwrap(Xn, null, ["number", "array", "number", "array", "array", "array", "array", "array", "number", "number"]); +var EL = { kernelName: yo, backendName: "wasm", setupFunc: kne, kernelFunc: Nne }; +var RL; +function Tne(r) { + RL = r.wasm.cwrap(Ss, null, ["number", "array", "number", "array", "array", "array", "array", "array", "number", "number"]); } -function Iee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { x: n } = t10, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: C, strides: w } = ut.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; +function _ne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { x: n } = t10, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: w, strides: S } = ct.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; if (h) - k = Lt({ inputs: { x: n }, backend: e, attrs: { shape: f } }); + k = zt({ inputs: { x: n }, backend: e, attrs: { shape: f } }); else if (g || x) { y.assert(n.shape.length >= 1, () => `Input must have rank at least 1, got: ${n.shape.length}`); - let _ = ut.computeOutShape(b, C, w), E = Eo({ inputs: { x: n }, backend: e, attrs: { begin: b, size: _ } }); - k = Lt({ inputs: { x: E }, backend: e, attrs: { shape: f } }), e.disposeData(E.dataId); + let _ = ct.computeOutShape(b, w, S), E = Ao({ inputs: { x: n }, backend: e, attrs: { begin: b, size: _ } }); + k = zt({ inputs: { x: E }, backend: e, attrs: { shape: f } }), e.disposeData(E.dataId); } else { - let _ = e.makeOutput(d, "float32"), E = e.dataIdMap.get(n.dataId).id, A = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), R = new Uint8Array(new Int32Array(b).buffer), D = new Uint8Array(new Int32Array(C).buffer), P = new Uint8Array(new Int32Array(w).buffer), M = new Uint8Array(new Int32Array(d).buffer), L = new Uint8Array(new Int32Array(y.computeStrides(d)).buffer), V = e.dataIdMap.get(_.dataId).id; - JP(E, A, n.shape.length, R, D, P, M, L, d.length, V), k = Lt({ inputs: { x: _ }, backend: e, attrs: { shape: f } }), e.disposeData(_.dataId); + let _ = e.makeOutput(d, "float32"), E = e.dataIdMap.get(n.dataId).id, R = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), D = new Uint8Array(new Int32Array(b).buffer), F = new Uint8Array(new Int32Array(w).buffer), O = new Uint8Array(new Int32Array(S).buffer), M = new Uint8Array(new Int32Array(d).buffer), L = new Uint8Array(new Int32Array(y.computeStrides(d)).buffer), B = e.dataIdMap.get(_.dataId).id; + RL(E, R, n.shape.length, D, F, O, M, L, d.length, B), k = zt({ inputs: { x: _ }, backend: e, attrs: { shape: f } }), e.disposeData(_.dataId); } return k; } -var e3 = { kernelName: Xn, backendName: "wasm", setupFunc: wee, kernelFunc: Iee }; -function vee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { data: n, dataSplits: s } = t10, { separator: a, nGramWidths: i, leftPad: p, rightPad: u, padWidth: c, preserveShortSequences: l } = o, m = e.readSync(n.dataId), d = e.readSync(s.dataId), [f, h] = Eu(m, d, a, i, p, u, c, l), g = e.makeOutput([f.length], "string"), x = e.dataIdMap.get(g.dataId); +var DL = { kernelName: Ss, backendName: "wasm", setupFunc: Tne, kernelFunc: _ne }; +function $ne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { data: n, dataSplits: s } = t10, { separator: a, nGramWidths: i, leftPad: p, rightPad: u, padWidth: c, preserveShortSequences: l } = o, m = e.readSync(n.dataId), d = e.readSync(s.dataId), [f, h] = up(m, d, a, i, p, u, c, l), g = e.makeOutput([f.length], "string"), x = e.dataIdMap.get(g.dataId); x.stringBytes = f; let b = e.makeOutput(s.shape, "int32"); return e.typedArrayFromHeap(b).set(h), [g, b]; } -var t3 = { kernelName: Ds, backendName: "wasm", kernelFunc: vee }; -function kee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { input: n, delimiter: s } = t10, { skipEmpty: a } = o, i = e.readSync(n.dataId), p = e.readSync(s.dataId), [u, c, l] = Au(i, p[0], a), m = c.length, d = e.makeOutput([m, 2], "int32"); +var AL = { kernelName: ma, backendName: "wasm", kernelFunc: $ne }; +function Ene(r) { + let { backend: e, inputs: t10, attrs: o } = r, { input: n, delimiter: s } = t10, { skipEmpty: a } = o, i = e.readSync(n.dataId), p = e.readSync(s.dataId), [u, c, l] = pp(i, p[0], a), m = c.length, d = e.makeOutput([m, 2], "int32"); e.typedArrayFromHeap(d).set(u); let h = e.makeOutput([m], "string"), g = e.dataIdMap.get(h.dataId); g.stringBytes = c; let x = e.makeOutput([2], "int32"); return e.typedArrayFromHeap(x).set(l), [d, h, x]; } -var r3 = { kernelName: Ci, backendName: "wasm", kernelFunc: kee }; -function Nee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { input: n } = t10, { numBuckets: s } = o, a = e.readSync(n.dataId), i = Ru(a, s), p = e.makeOutput(n.shape, "int32"); +var FL = { kernelName: Hi, backendName: "wasm", kernelFunc: Ene }; +function Rne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { input: n } = t10, { numBuckets: s } = o, a = e.readSync(n.dataId), i = cp(a, s), p = e.makeOutput(n.shape, "int32"); return e.typedArrayFromHeap(p).set(i), p; } -var o3 = { kernelName: Si, backendName: "wasm", kernelFunc: Nee }; -var Tee = true; -var n3 = rt(Yn, Tee); -var s3; -function _ee(r) { - s3 = r.wasm.cwrap(Kn, null, ["number", "number", "number", "number"]); +var PL = { kernelName: Ki, backendName: "wasm", kernelFunc: Rne }; +var Dne = true; +var OL = Je(Is, Dne); +var ML; +function Ane(r) { + ML = r.wasm.cwrap(ys, null, ["number", "number", "number", "number"]); } -function $ee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = kr(a, n, e), f = l; +function Fne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { axis: n, keepDims: s } = o, { x: a } = t10, i = e.dataIdMap.get(a.dataId).id, p = i, u = a, { transposed: c, axes: l, originalAxes: m, inputWasTransposed: d } = Tr(a, n, e), f = l; if (d) { - let C = e.dataIdMap.get(c.dataId).id; - C !== i && (u = c, p = C, f = S.getInnerMostAxes(f.length, u.shape.length)); + let w = e.dataIdMap.get(c.dataId).id; + w !== i && (u = c, p = w, f = C.getInnerMostAxes(f.length, u.shape.length)); } - S.assertAxesAreInnerMostDims("sum", f, u.shape.length); - let [h, g] = S.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); + C.assertAxesAreInnerMostDims("sum", f, u.shape.length); + let [h, g] = C.computeOutAndReduceShapes(u.shape, f), x = y.sizeFromShape(g), b = e.makeOutput(h, u.dtype); if (y.sizeFromShape(u.shape) !== 0) { - let C = e.dataIdMap.get(b.dataId).id; - s3(p, x, Fe[b.dtype], C); + let w = e.dataIdMap.get(b.dataId).id; + ML(p, x, we[b.dtype], w); } if (d && e.disposeData(c.dataId), s) { - let C = S.expandShapeToKeepDim(b.shape, m); - b.shape = C; + let w = C.expandShapeToKeepDim(b.shape, m); + b.shape = w; } return b; } -var a3 = { kernelName: Kn, backendName: "wasm", setupFunc: _ee, kernelFunc: $ee }; -var i3 = Ve(Qn); -var u3 = Ve(Zn); -var p3; -function Eee(r) { - p3 = r.wasm.cwrap(to, null, ["number", "array", "number", "array", "number", "number"]); +var LL = { kernelName: ys, backendName: "wasm", setupFunc: Ane, kernelFunc: Fne }; +var BL = Ce(vs); +var zL = Ce(ks); +var VL; +function Pne(r) { + VL = r.wasm.cwrap(cs, null, ["number", "number", "number", "number", "number", "number", "array", "number", "number", "number"]); } -function Aee(r) { +function One(r) { + let { backend: e, inputs: t10, attrs: o } = r, { tensor: n, indices: s, updates: a } = t10, {} = o, i = e.makeOutput(n.shape, n.dtype); + if (y.sizeFromShape(n.shape) === 0) + return i; + let { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = pu.calculateShapes(a, s, n.shape), f = e.dataIdMap.get(s.dataId).id, g = e.dataIdMap.get(a.dataId).id, b = e.dataIdMap.get(n.dataId).id, w = new Uint8Array(new Int32Array(l).buffer), S = e.dataIdMap.get(i.dataId).id; + return VL(f, g, we[a.dtype], p, u, c, w, m, S, b), i; +} +var WL = { kernelName: cs, backendName: "wasm", setupFunc: Pne, kernelFunc: One }; +var UL; +function Mne(r) { + UL = r.wasm.cwrap(so, null, ["number", "array", "number", "array", "number", "number"]); +} +function Lne(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, s = t10.dataIdMap.get(n.dataId).id, { reps: a } = o, i = new Array(n.shape.length); for (let m = 0; m < i.length; m++) i[m] = n.shape[m] * a[m]; let p = new Uint8Array(new Int32Array(n.shape).buffer), u = new Uint8Array(new Int32Array(i).buffer), c = t10.makeOutput(i, n.dtype), l = t10.dataIdMap.get(c.dataId).id; - return p3(s, p, n.shape.length, u, i.length, Fe[c.dtype], l), c; + return UL(s, p, n.shape.length, u, i.length, we[c.dtype], l), c; } -var c3 = { kernelName: to, backendName: "wasm", setupFunc: Eee, kernelFunc: Aee }; -var l3; -function Ree(r) { - l3 = r.wasm.cwrap(Jn, null, ["number", "array", "number", "number", "number", "bool", "number", "number"]); +var GL = { kernelName: so, backendName: "wasm", setupFunc: Mne, kernelFunc: Lne }; +var HL; +function Bne(r) { + HL = r.wasm.cwrap(Ns, null, ["number", "array", "number", "number", "number", "bool", "number", "number"]); } -var Dee = ({ inputs: r, backend: e, attrs: t10 }) => { +var zne = ({ inputs: r, backend: e, attrs: t10 }) => { let { x: o } = r, { k: n, sorted: s } = t10, a = e.dataIdMap.get(o.dataId).id, i = new Uint8Array(new Int32Array(o.shape).buffer), p = o.shape.slice(); p[p.length - 1] = n; let u = e.makeOutput(p, o.dtype), c = e.dataIdMap.get(u.dataId).id, l = e.makeOutput(p, "int32"), m = e.dataIdMap.get(l.dataId).id; - return l3(a, i, o.shape.length, Fe[o.dtype], n, s, c, m), [u, l]; + return HL(a, i, o.shape.length, we[o.dtype], n, s, c, m), [u, l]; }; -var m3 = { kernelName: Jn, backendName: "wasm", setupFunc: Ree, kernelFunc: Dee }; -var d3; -function Fee(r) { - d3 = r.wasm.cwrap(es, null, ["number", "number", "bool", "number", "number", "number", "number", "number", "number", "array", "number", "array", "number", "number", "number", "number", "number"]); +var KL = { kernelName: Ns, backendName: "wasm", setupFunc: Bne, kernelFunc: zne }; +var qL; +function Vne(r) { + qL = r.wasm.cwrap(Ts, null, ["number", "number", "bool", "number", "number", "number", "number", "number", "number", "array", "number", "array", "number", "number", "number", "number", "number"]); } -function Oee(r) { - let { backend: e, inputs: t10, attrs: o } = r, { image: n, transforms: s } = t10, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), b = new Uint8Array(new Int32Array(y.computeStrides(g)).buffer), C = e.makeOutput(g, n.dtype), w = e.dataIdMap.get(C.dataId).id, _ = e.dataIdMap.get(n.dataId).id, A = e.dataIdMap.get(s.dataId).id, R = a === "nearest" ? 1 : 2, D; +function Wne(r) { + let { backend: e, inputs: t10, attrs: o } = r, { image: n, transforms: s } = t10, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer), b = new Uint8Array(new Int32Array(y.computeStrides(g)).buffer), w = e.makeOutput(g, n.dtype), S = e.dataIdMap.get(w.dataId).id, _ = e.dataIdMap.get(n.dataId).id, R = e.dataIdMap.get(s.dataId).id, D = a === "nearest" ? 1 : 2, F; switch (i) { case "constant": - D = 1; + F = 1; break; case "reflect": - D = 2; + F = 2; break; case "wrap": - D = 3; + F = 3; break; case "nearest": - D = 4; + F = 4; break; default: - D = 1; + F = 1; break; } - return d3(_, A, s.shape[0] > 1, c, f, h, d, m, l, x, n.shape.length - 1, b, g.length - 1, R, D, p, w), C; + return qL(_, R, s.shape[0] > 1, c, f, h, d, m, l, x, n.shape.length - 1, b, g.length - 1, D, F, p, S), w; } -var f3 = { kernelName: es, backendName: "wasm", setupFunc: Fee, kernelFunc: Oee }; -function Pee(r) { +var jL = { kernelName: Ts, backendName: "wasm", setupFunc: Vne, kernelFunc: Wne }; +function Une(r) { + let { inputs: e, attrs: t10, backend: o } = r, { axis: n } = t10, { x: s } = e, { outputValues: a, outputShape: i, indices: p } = lp(o.readSync(s.dataId), n, s.shape, s.dtype); + return [o.makeOutput(i, s.dtype, void 0, a), o.makeOutput([p.length], "int32", void 0, p)]; +} +var XL = { kernelName: qi, backendName: "wasm", kernelFunc: Une }; +function Gne(r) { let { inputs: e, backend: t10, attrs: o } = r, { value: n } = e, { axis: s } = o; s < 0 && (s += n.shape.length); let a = n.shape[s], i = n.shape.length, p = new Array(i - 1), u = 0; @@ -25353,28 +26181,28 @@ function Pee(r) { let c = new Array(a), l = new Array(i).fill(0), m = n.shape.slice(); m[s] = 1; for (let d = 0; d < c.length; d++) - l[s] = d, c[d] = Eo({ inputs: { x: n }, attrs: { begin: l, size: m }, backend: t10 }); + l[s] = d, c[d] = Ao({ inputs: { x: n }, attrs: { begin: l, size: m }, backend: t10 }); return c.map(({ dataId: d, dtype: f }) => ({ dataId: d, dtype: f, shape: p })); } -var h3 = { kernelName: Fs, backendName: "wasm", kernelFunc: Pee }; -function Mee(r) { +var YL = { kernelName: da, backendName: "wasm", kernelFunc: Gne }; +function Hne(r) { let { inputs: { x: e }, backend: t10 } = r, o = t10.makeOutput(e.shape, e.dtype); return t10.typedArrayFromHeap(o).fill(0), o; } -var g3 = { kernelName: Os, backendName: "wasm", kernelFunc: Mee }; -var Lee = [bF, CF, SF, IF, _F, EF, RF, FF, MF, BF, VF, zF, UF, GF, KF, jF, XF, YF, ZF, eO, rO, nO, aO, iO, uO, pO, cO, lO, dO, fO, hO, xO, bO, SO, IO, kO, NO, TO, vF, _O, EO, AO, RO, DO, FO, OO, PO, MO, BO, VO, WO, GO, KO, qO, XO, YO, QO, JO, tP, oP, nP, aP, iP, uP, bg, cP, mP, fP, hP, gP, xP, yP, bP, OF, SP, IP, kP, TP, _P, $P, AP, DP, OP, PP, LF, LP, BP, zP, UP, HP, KP, qP, jP, XP, YP, ZP, e3, t3, r3, o3, n3, a3, i3, u3, c3, m3, f3, NF, h3, g3]; -for (let r of Lee) - ka(r); -var rI = O(); -rI.registerFlag("WASM_HAS_SIMD_SUPPORT", async () => { +var QL = { kernelName: fa, backendName: "wasm", kernelFunc: Hne }; +var Kne = [K3, q3, j3, X3, Y3, Z3, oP, sP, aP, iP, uP, pP, cP, lP, mP, fP, gP, yP, wP, IP, kP, NP, TP, _P, EP, RP, AP, PP, MP, BP, VP, WP, UP, HP, qP, XP, QP, JP, tO, oO, sO, iO, pO, cO, mO, dO, fO, hO, gO, xO, bO, CO, wO, IO, kO, TO, $O, RO, DO, AO, J3, FO, PO, OO, LO, BO, zO, WO, GO, UO, HO, KO, qO, jO, YO, ZO, eM, tM, oM, sM, iM, pM, lM, mM, fM, yM, bM, CM, SM, vM, NM, TM, $M, EM, RM, Og, AM, PM, MM, LM, BM, zM, VM, WM, bP, GM, KM, jM, YM, ZM, eL, tL, rL, nL, aL, uL, pL, lL, mL, dL, SP, gM, fL, hL, xL, bL, wL, SL, vL, kL, NL, TL, _L, EL, DL, AL, FL, PL, OL, LL, BL, zL, WL, GL, KL, jL, tP, XL, YL, QL]; +for (let r of Kne) + Ya(r); +var wv = P(); +wv.registerFlag("WASM_HAS_SIMD_SUPPORT", async () => { try { return WebAssembly.validate(new Uint8Array([0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 9, 1, 7, 0, 65, 0, 253, 15, 26, 11])); } catch (r) { return false; } }); -rI.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT", async () => { - if (rI.get("IS_NODE")) +wv.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT", async () => { + if (wv.get("IS_NODE")) return false; try { return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)), WebAssembly.validate(new Uint8Array([0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 5, 4, 1, 3, 1, 1, 10, 11, 1, 9, 0, 65, 0, 254, 16, 2, 0, 26, 11])); @@ -25382,14 +26210,14 @@ rI.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT", async () => { return false; } }); -var cI = ap(C3()); -var N3 = ap(w3()); -var lI = ap(I3()); -var v3 = cI.default || cI; -var Bee = lI.default || lI; -var Ll = class extends Zr { +var $v = Bp(tB()); +var iB = Bp(oB()); +var Ev = Bp(nB()); +var sB = $v.default || $v; +var qne = Ev.default || Ev; +var am = class extends ro { constructor(e) { - super(), this.wasm = e, this.dataIdNextNumber = 1, this.wasm.tfjs.initWithThreadsCount(_3), pI = this.wasm.tfjs.getThreadsCount(), this.dataIdMap = new Fo(this, sr()); + super(), this.wasm = e, this.dataIdNextNumber = 1, this.wasm.tfjs.initWithThreadsCount(pB), _v = this.wasm.tfjs.getThreadsCount(), this.dataIdMap = new Lo(this, ur()); } write(e, t10, o) { let n = { id: this.dataIdNextNumber++ }; @@ -25409,7 +26237,7 @@ var Ll = class extends Zr { this.dataIdMap.set(e, { id: a, stringBytes: c, shape: o, dtype: n, memoryOffset: null, refCount: s }); return; } - let i = y.sizeFromShape(o), p = i * y.bytesPerElement(n), u = this.wasm._malloc(p); + let i = y.sizeFromShape(o), p = i * y.bytesPerElement(n), u = this.wasm._malloc(p) >>> 0; this.dataIdMap.set(e, { id: a, memoryOffset: u, shape: o, dtype: n, refCount: s }), this.wasm.tfjs.registerTensor(a, i, u), t10 != null && this.wasm.HEAPU8.set(new Uint8Array(t10.buffer, t10.byteOffset, p), u); } async read(e) { @@ -25421,7 +26249,7 @@ var Ll = class extends Zr { return (t10 == null || t10 === 0) && (o == null || o >= i.length) ? i : i.slice(t10, o); t10 = t10 || 0, o = o || y.sizeFromShape(a); let p = y.bytesPerElement(s), u = this.wasm.HEAPU8.slice(n + t10 * p, n + o * p); - return zee(u.buffer, s); + return Xne(u.buffer, s); } disposeData(e, t10 = false) { if (this.dataIdMap.has(e)) { @@ -25451,17 +26279,17 @@ var Ll = class extends Zr { memory() { return { unreliable: false }; } - makeOutput(e, t10, o) { - let n; + makeOutput(e, t10, o, n) { + let s; if (o == null) - n = this.write(null, e, t10); + s = this.write(n != null ? n : null, e, t10); else { - let s = this.dataIdNextNumber++; - n = { id: s }, this.dataIdMap.set(n, { id: s, memoryOffset: o, shape: e, dtype: t10, refCount: 1 }); - let a = y.sizeFromShape(e); - this.wasm.tfjs.registerTensor(s, a, o); + let a = this.dataIdNextNumber++; + s = { id: a }, this.dataIdMap.set(s, { id: a, memoryOffset: o, shape: e, dtype: t10, refCount: 1 }); + let i = y.sizeFromShape(e); + this.wasm.tfjs.registerTensor(a, i, o); } - return { dataId: n, shape: e, dtype: t10 }; + return { dataId: s, shape: e, dtype: t10 }; } typedArrayFromHeap({ shape: e, dtype: t10, dataId: o }) { let n = this.wasm.HEAPU8.buffer, { memoryOffset: s } = this.dataIdMap.get(o), a = y.sizeFromShape(e); @@ -25477,7 +26305,7 @@ var Ll = class extends Zr { } } }; -function Vee(r) { +function jne(r) { return (e, t10) => (y.fetch(r, { credentials: "same-origin" }).then((o) => { o.ok || e.env.a(`failed to load wasm binary file at '${r}'`), o.arrayBuffer().then((n) => { WebAssembly.instantiate(n, e).then((s) => { @@ -25486,38 +26314,38 @@ function Vee(r) { }); }), {}); } -function k3(r, e, t10) { - if (vg != null) - return vg; +function aB(r, e, t10) { + if (Vg != null) + return Vg; let o = "tfjs-backend-wasm.wasm"; - return r && e ? o = "tfjs-backend-wasm-threaded-simd.wasm" : r && (o = "tfjs-backend-wasm-simd.wasm"), Pl != null && Pl[o] != null ? Pl[o] : t10 + o; + return r && e ? o = "tfjs-backend-wasm-threaded-simd.wasm" : r && (o = "tfjs-backend-wasm-simd.wasm"), nm != null && nm[o] != null ? nm[o] : t10 + o; } -async function T3() { - let [r, e] = await Promise.all([O().getAsync("WASM_HAS_SIMD_SUPPORT"), O().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]); +async function uB() { + let [r, e] = await Promise.all([P().getAsync("WASM_HAS_SIMD_SUPPORT"), P().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]); return new Promise((t10, o) => { let n = {}; n.locateFile = (i, p) => { if (i.endsWith(".worker.js")) { - let u = N3.wasmWorkerContents.replace(/\n/g, "\\n"), c = new Blob([u], { type: "application/javascript" }); + let u = iB.wasmWorkerContents.replace(/\n/g, "\\n"), c = new Blob([u], { type: "application/javascript" }); return URL.createObjectURL(c); } - return i.endsWith(".wasm") ? k3(r, e, Ol != null ? Ol : p) : p + i; - }, mI && (n.instantiateWasm = Vee(k3(r, e, Ol != null ? Ol : ""))); + return i.endsWith(".wasm") ? aB(r, e, om != null ? om : p) : p + i; + }, Rv && (n.instantiateWasm = jne(aB(r, e, om != null ? om : ""))); let s = false; n.onAbort = () => { - if (s || Ml) + if (s || sm) return; - Ml = true, o({ message: "Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers" }); + sm = true, o({ message: "Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers" }); }; let a; - e && r && vg == null ? (n.mainScriptUrlOrBlob = new Blob(["var WasmBackendModuleThreadedSimd = " + v3.toString()], { type: "text/javascript" }), a = v3(n)) : a = Bee(n), a.then((i) => { - s = true, Ml = false; + e && r && Vg == null ? (n.mainScriptUrlOrBlob = new Blob(["var WasmBackendModuleThreadedSimd = " + sB.toString()], { type: "text/javascript" }), a = sB(n)) : a = qne(n), a.then((i) => { + s = true, sm = false; let p = null; i.tfjs = { init: i.cwrap("init", null, []), initWithThreadsCount: i.cwrap("init_with_threads_count", null, ["number"]), getThreadsCount: i.cwrap("get_threads_count", "number", []), registerTensor: i.cwrap("register_tensor", null, ["number", "number", "number"]), disposeData: i.cwrap("dispose_data", p, ["number"]), dispose: i.cwrap("dispose", p, []) }, t10({ wasm: i }); }).catch(o); }); } -function zee(r, e) { +function Xne(r, e) { switch (e) { case "float32": return new Float32Array(r); @@ -25529,59 +26357,60 @@ function zee(r, e) { throw new Error(`Unknown dtype ${e}`); } } -var Wee = ["tfjs-backend-wasm.wasm", "tfjs-backend-wasm-simd.wasm", "tfjs-backend-wasm-threaded-simd.wasm"]; -var vg = null; -var Ol = null; -var Pl = {}; -var Ml = false; -var mI = false; -function Uee(r, e = false) { - if (nC("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."), Ml) +var Yne = ["tfjs-backend-wasm.wasm", "tfjs-backend-wasm-simd.wasm", "tfjs-backend-wasm-threaded-simd.wasm"]; +var Vg = null; +var om = null; +var nm = {}; +var sm = false; +var Rv = false; +function Qne(r, e = false) { + if (bw("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."), sm) throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`"); - vg = r, mI = e; + Vg = r, Rv = e; } -function Gee(r, e = false) { - if (Ml) +function Zne(r, e = false) { + if (sm) throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`"); if (typeof r == "string") - Ol = r; + om = r; else { - Pl = r; - let t10 = Wee.filter((o) => Pl[o] == null); + nm = r; + let t10 = Yne.filter((o) => nm[o] == null); if (t10.length > 0) throw new Error(`There were no entries found for the following binaries: ${t10.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`); } - mI = e; + Rv = e; } -var _3 = -1; -var pI = -1; -function Hee(r) { - _3 = r; +var pB = -1; +var _v = -1; +function Jne(r) { + pB = r; } -function Kee() { - if (pI === -1) +function ese() { + if (_v === -1) throw new Error("WASM backend not initialized."); - return pI; + return _v; } -var qee = "4.2.0"; -var jee = 2; -Ti("wasm", async () => { - let { wasm: r } = await T3(); - return new Ll(r); -}, jee); -var ds = O(); -ds.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE", () => 15); -ds.registerFlag("WEBGPU_CPU_FORWARD", () => true); -ds.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE", () => -1); -ds.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE", () => false); -ds.registerFlag("WEBGPU_USE_LOW_POWER_GPU", () => false); -ds.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD", () => 1e3); -ds.registerFlag("WEBGPU_USE_PROFILE_TOOL", () => false); -ds.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE", () => true); -ds.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG", () => false); -ds.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL", () => 0); -ds.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER", () => false); -var kg = class { +var tse = "4.5.0"; +var rse = 2; +eu("wasm", async () => { + let { wasm: r } = await uB(); + return new am(r); +}, rse); +var Fo = P(); +Fo.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE", () => 15); +Fo.registerFlag("WEBGPU_CPU_FORWARD", () => true); +Fo.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE", () => -1); +Fo.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE", () => true); +Fo.registerFlag("WEBGPU_USE_LOW_POWER_GPU", () => false); +Fo.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD", () => 1e3); +Fo.registerFlag("WEBGPU_USE_PROFILE_TOOL", () => false); +Fo.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE", () => true); +Fo.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG", () => false); +Fo.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL", () => 0); +Fo.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER", () => false); +Fo.registerFlag("WEBGPU_PRINT_SHADER", () => ""); +var Wg = class { constructor(e) { e && (this.vendor = e.vendor, this.architecture = e.architecture, this.intelGPUGeneration = this.getIntelGPUGeneration()); } @@ -25598,39 +26427,21 @@ var kg = class { return this.vendor === "intel"; } }; -var Ng = class { +var Ug = class { constructor(e) { this.device = e, this.numUsedBuffers = 0, this.numFreeBuffers = 0, this.freeBuffers = /* @__PURE__ */ new Map(), this.usedBuffers = /* @__PURE__ */ new Map(), this.numBytesUsed = 0, this.numBytesAllocated = 0; } - acquireUploadBuffer(e, t10) { - return this.acquireBuffer(e, t10, true); + acquireBuffer(e, t10, o = false, n = true) { + let s, a = cB(e, t10); + return n ? (this.freeBuffers.has(a) || this.freeBuffers.set(a, []), this.freeBuffers.get(a).length > 0 ? (s = this.freeBuffers.get(a).pop(), this.numFreeBuffers--) : (s = this.device.createBuffer({ size: e, usage: t10, mappedAtCreation: o }), this.numBytesAllocated += e)) : (s = this.device.createBuffer({ size: e, usage: t10, mappedAtCreation: o }), this.numBytesAllocated += e), this.usedBuffers.has(a) || this.usedBuffers.set(a, []), this.usedBuffers.get(a).push(s), this.numUsedBuffers++, this.numBytesUsed += e, s; } - acquireBuffer(e, t10, o = false) { - let n = $3(e, t10); - if (this.freeBuffers.has(n) || this.freeBuffers.set(n, []), this.usedBuffers.has(n) || this.usedBuffers.set(n, []), this.numBytesUsed += e, this.numUsedBuffers++, this.freeBuffers.get(n).length > 0) { - this.numFreeBuffers--; - let a = this.freeBuffers.get(n).shift(); - return this.usedBuffers.get(n).push(a), a; - } - this.numBytesAllocated += e; - let s = this.device.createBuffer({ size: e, usage: t10, mappedAtCreation: o }); - return this.usedBuffers.get(n).push(s), s; - } - releaseBuffer(e, t10, o) { + releaseBuffer(e, t10, o, n = true) { if (this.freeBuffers.size === 0) return; - let n = $3(t10, o); - this.freeBuffers.has(n) || this.freeBuffers.set(n, []), this.freeBuffers.get(n).push(e), this.numFreeBuffers++, this.numUsedBuffers--; - let s = this.usedBuffers.get(n), a = s.indexOf(e); - if (a < 0) - throw new Error("Cannot release a buffer that was never provided by this buffer manager"); - s.splice(a, 1), this.numBytesUsed -= t10; - } - releaseUploadBuffer(e, t10, o) { - e.mapAsync(GPUMapMode.WRITE).then(() => { - this.releaseBuffer(e, t10, o); - }, (n) => { - }); + let s = cB(t10, o), a = this.usedBuffers.get(s), i = a.indexOf(e); + if (i < 0) + throw new Error("Cannot find the buffer in buffer manager"); + a[i] = a[a.length - 1], a.pop(), this.numUsedBuffers--, this.numBytesUsed -= t10, n ? (this.freeBuffers.get(s).push(e), this.numFreeBuffers++) : (e.destroy(), this.numBytesAllocated -= t10); } getNumUsedBuffers() { return this.numUsedBuffers; @@ -25650,15 +26461,15 @@ var Ng = class { }), this.freeBuffers = /* @__PURE__ */ new Map(), this.usedBuffers = /* @__PURE__ */ new Map(), this.numUsedBuffers = 0, this.numFreeBuffers = 0, this.numBytesUsed = 0, this.numBytesAllocated = 0; } }; -function $3(r, e) { +function cB(r, e) { return `${r}_${e}`; } -var Tg = class { +var Gg = class { constructor(e) { this.device = e, this.numUsedTextures = 0, this.numFreeTextures = 0, this.freeTextures = /* @__PURE__ */ new Map(), this.usedTextures = /* @__PURE__ */ new Map(), this.numBytesUsed = 0, this.numBytesAllocated = 0; } acquireTexture(e, t10, o, n) { - let s = A3(o), a = e * t10 * s, i = E3(e, t10, o, n); + let s = mB(o), a = e * t10 * s, i = lB(e, t10, o, n); if (this.freeTextures.has(i) || this.freeTextures.set(i, []), this.usedTextures.has(i) || this.usedTextures.set(i, []), this.numBytesUsed += a, this.numUsedTextures++, this.freeTextures.get(i).length > 0) { this.numFreeTextures--; let u = this.freeTextures.get(i).shift(); @@ -25671,13 +26482,13 @@ var Tg = class { releaseTexture(e, t10, o, n, s) { if (this.freeTextures.size === 0) return; - let a = E3(t10, o, n, s); + let a = lB(t10, o, n, s); this.freeTextures.has(a) || this.freeTextures.set(a, []), this.freeTextures.get(a).push(e), this.numFreeTextures++, this.numUsedTextures--; let i = this.usedTextures.get(a), p = i.indexOf(e); if (p < 0) throw new Error("Cannot release a texture that was never provided by this texture manager"); i.splice(p, 1); - let u = A3(n), c = t10 * o * u; + let u = mB(n), c = t10 * o * u; this.numBytesUsed -= c; } getNumUsedTextures() { @@ -25698,24 +26509,24 @@ var Tg = class { }), this.freeTextures = /* @__PURE__ */ new Map(), this.usedTextures = /* @__PURE__ */ new Map(), this.numUsedTextures = 0, this.numFreeTextures = 0, this.numBytesUsed = 0, this.numBytesAllocated = 0; } }; -function E3(r, e, t10, o) { +function lB(r, e, t10, o) { return `${r}_${e}_${t10}_${o}`; } -function A3(r) { +function mB(r) { if (r === "rgba8unorm") return 16; throw new Error(`${r} is not supported!`); } -function R3(r, e) { - if (Math.max(...r) > 3) - throw new Error("Cannot symbolically compute strides for rank > 4 tensor."); - let t10 = r.length, o = r.map((s) => `${e}[${s}]`), n = new Array(t10 - 1); - n[t10 - 2] = o[t10 - 1]; - for (let s = t10 - 3; s >= 0; --s) - n[s] = `(${n[s + 1]} * ${o[s + 1]})`; - return n; +function dB(r, e) { + if (Math.max(...r) > 5) + throw new Error("Cannot symbolically compute strides for rank > 6 tensor."); + let t10 = r.length, o = "xyzwuv", n = r.map((a) => `${e}.${o[a]}`), s = new Array(t10 - 1); + s[t10 - 2] = n[t10 - 1]; + for (let a = t10 - 3; a >= 0; --a) + s[a] = `(${s[a + 1]} * ${n[a + 1]})`; + return s; } -var Ic = (r, e, t10) => t10 === "int32" ? `atomicAdd(${r}, bitcast(${e}));` : ` +var Bs = (r, e, t10) => t10 === "int32" ? `atomicAdd(${r}, bitcast(${e}));` : ` { var oldValue = 0; loop { @@ -25728,11 +26539,30 @@ var Ic = (r, e, t10) => t10 === "int32" ? `atomicAdd(${r}, bitcast(${e}));` oldValue = res.old_value; } }`; -var M3 = (r, e, t10, o) => { - let n = { dtype: o.dtype, shape: o.shape }, s = Yee(t10, n, e), a = r.createShaderModule({ code: s, label: e.constructor.name }); - return r.createComputePipeline({ compute: { module: a, entryPoint: "_start" }, label: e.constructor.name, layout: "auto" }); +var xB = (r, e, t10, o, n) => { + let s = { dtype: o.dtype, shape: o.shape }, a = nse(t10, s, e), i = r.createShaderModule({ code: a, label: e.constructor.name }), p = r.createComputePipeline({ compute: { module: i, entryPoint: "_start" }, label: e.constructor.name, layout: "auto" }), u = P().get("WEBGPU_PRINT_SHADER"); + if (u !== "") { + u = u.toLowerCase(); + let c = u.split(","); + (u === "all" || c.some((l) => n.toLowerCase().includes(l))) && (console.group(n), console.debug(a), console.groupEnd()); + } + return p; }; -function Rt(r) { +var Ae = (r, e = "f32") => { + switch (r) { + case 1: + return `${e}`; + case 2: + return `vec2<${e}>`; + case 3: + return `vec3<${e}>`; + case 4: + return `vec4<${e}>`; + default: + throw new Error(`${r}-component ${e} is not supported.`); + } +}; +function Nt(r) { if (r <= 1) return "i32"; if (r === 2) @@ -25747,7 +26577,7 @@ function Rt(r) { return "vec6"; throw Error(`GPU for rank ${r} is not yet supported`); } -function Ao(r) { +function Po(r) { if (r === 0) return "x"; if (r === 1) @@ -25762,7 +26592,7 @@ function Ao(r) { return "v"; throw Error(`Index ${r} is not yet supported`); } -function Q(...r) { +function K(...r) { let e; switch (r.length) { case 0: @@ -25780,10 +26610,10 @@ function Q(...r) { } return e; } -function D3(r, e) { +function fB(r, e) { let t10; return t10 = ` - ${Xee(e)} + ${ose(e)} fn _start(@builtin(local_invocation_id) LocalId : vec3, @builtin(global_invocation_id) GlobalId : vec3, @builtin(local_invocation_index) LocalIndex: u32, @@ -25798,14 +26628,14 @@ function D3(r, e) { } `, t10; } -function Xee(r) { +function ose(r) { return ` @compute @workgroup_size(${r.workgroupSize[0]}, ${r.workgroupSize[1]}, ${r.workgroupSize[2]}) `; } -function Yee(r, e, t10) { +function nse(r, e, t10) { let o = [], n = t10.workgroupSize[0] * t10.workgroupSize[1] * t10.workgroupSize[2]; - if (o.push(` + if (t10.outputComponent = t10.outputComponent ? t10.outputComponent : 1, o.push(` var localId: vec3; var localIndex: u32; @@ -25815,7 +26645,7 @@ function Yee(r, e, t10) { // Only used when the y/z dimension of workgroup size is 1. fn getGlobalIndex() -> i32 { - ${B3(t10) ? " return i32(globalId.x);" : ` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + + ${bB(t10) ? " return i32(globalId.x);" : ` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + workgroupId.y * numWorkgroups.x + workgroupId.x) * ${n}u + localIndex); `} @@ -25828,52 +26658,52 @@ function Yee(r, e, t10) { outShapeStrides : vec2, }; - @group(0) @binding(0) var result: array<${vc(e.dtype, t10.isVec4)}>; + @group(0) @binding(0) var result: array<${kp(e.dtype, t10.outputComponent)}>; @group(0) @binding(2) var uniforms: Uniform; `); - let f = P3(t10); - return [F3, o.join(` -`), O3(e.shape), t10.getUserCode(), D3(f, t10)].join(` + let f = gB(t10); + return [hB, o.join(` +`), Dv(e.shape), t10.getUserCode(), fB(f, t10)].join(` `); } - let s = "struct Uniforms { NAN : f32, INFINITY : f32, "; + let s, a, i = "struct Uniforms { NAN : f32, INFINITY : f32, "; t10.variableNames.forEach((f, h) => { - let g = Rt(r[h].shape.length); - s += `${f.charAt(0).toLowerCase() + f.slice(1)}Shape : ${g}, `; + let g = Nt(r[h].shape.length); + i += `${f.charAt(0).toLowerCase() + f.slice(1)}Shape : ${g}, `, s = r[h].shape.length - 1, a = Nt(s), i += `${f.charAt(0).toLowerCase() + f.slice(1)}ShapeStrides: ${a}, `; }); - let a = Rt(e.shape.length); - s += `outShape : ${a}, `; - let i = e.shape.length - 1, p = Rt(i); - s += ` - outShapeStrides: ${p}, `, t10.size && (s += "size : i32, "), t10.uniforms && (s += t10.uniforms), s += "};", s = nte(s), o.push(s), t10.atomic ? o.push(` + let p = Nt(e.shape.length); + i += `outShape : ${p}, `, s = e.shape.length - 1, a = Nt(s), i += ` + outShapeStrides: ${a}, `, t10.size && (i += "size : i32, "), t10.uniforms && (i += t10.uniforms), i += "};", i = mse(i), o.push(i), t10.atomic ? o.push(` @group(0) @binding(0) var result: array>; `) : o.push(` - @group(0) @binding(0) var result: array<${vc(e.dtype, t10.isVec4)}>; + @group(0) @binding(0) var result: array<${kp(e.dtype, t10.outputComponent)}>; `), t10.variableNames.forEach((f, h) => { o.push(` - @group(0) @binding(${1 + h}) var ${f}: array<${t10.variableTypes ? t10.variableTypes[h] : vc(r[h].dtype, t10.isVec4)}>; + @group(0) @binding(${1 + h}) var ${f}: array<${t10.variableComponents ? kp(r[h].dtype, t10.variableComponents[h]) : kp(r[h].dtype, t10.outputComponent)}>; `); - }), s !== "" && o.push(` + }), i !== "" && o.push(` @group(0) @binding(${1 + t10.variableNames.length}) var uniforms: Uniforms; `); - let u = tte(e.shape, t10.dispatchLayout), c = [F3, o.join(` -`) + Qee, O3(e.shape), u, rte(e.shape.length)]; - t10.atomic || c.push(ote(e.shape, e.dtype, t10.isVec4)); - let l = r.map((f, h) => ete(f, e.shape, t10.variableTypes ? t10.variableTypes[h] === "vec4" : t10.isVec4, t10.dispatchLayout.x.length === e.shape.length)).join(` + let u = pse(e.shape, t10.dispatchLayout), c = [hB, o.join(` +`) + sse, Dv(e.shape), u, cse(e.shape.length)]; + t10.atomic || c.push(lse(e.shape, e.dtype, t10.outputComponent)), t10.variableNames.forEach((f, h) => { + c.push(`${Dv(r[h].shape, f)}`); + }); + let l = r.map((f, h) => use(f, e.shape, t10.variableComponents ? t10.variableComponents[h] : t10.outputComponent, t10.dispatchLayout.x.length === e.shape.length)).join(` `); c.push(l), c.push(t10.getUserCode()); - let m = P3(t10); - return c.push(D3(m, t10)), c.join(` + let m = gB(t10); + return c.push(fB(m, t10)), c.join(` `); } -function L3(r, e, t10, o) { +function yB(r, e, t10, o) { let n = r.shaderKey; if (r.isFromPixels) return n; - let s = t10.map((c) => c.dtype).concat(o.dtype), a = t10.map((c) => S.getBroadcastDims(c.shape, o.shape)), i = t10.map((c) => y.arraysEqual(c.shape, o.shape)).join("_"), p = a.map((c) => c.join("_")).join(";"), u = B3(r) ? "flatDispatch" : ""; + let s = t10.map((c) => c.dtype).concat(o.dtype), a = t10.map((c) => C.getBroadcastDims(c.shape, o.shape)), i = t10.map((c) => y.arraysEqual(c.shape, o.shape)).join("_"), p = a.map((c) => c.join("_")).join(";"), u = bB(r) ? "flatDispatch" : ""; return n += "_" + (r.workgroupSize ? r.workgroupSize.join(",") : "") + e.map((c) => c.length).join(",") + s.join(",") + r.variableNames.join(",") + p + i + u, n; } -var F3 = ` +var hB = ` struct vec5 {x: i32, y: i32, z: i32, w: i32, u: i32}; struct vec6 {x: i32, y: i32, z: i32, w: i32, u: i32, v: i32}; @@ -25933,145 +26763,108 @@ var F3 = ` return (floatToUint & vec4(0x7fffffffu)) > vec4(0x7f800000u); } `; -var Qee = ` +var sse = ` fn isinf(val: f32) -> bool { return abs(val) == uniforms.INFINITY; } `; -function O3(r) { - let e = r.length; - if (e <= 1) - return "fn getCoordsFromIndex(index : i32) -> i32 { return index; }"; - let t10 = y.computeStrides(r), o = Rt(e), n = []; - for (let a = 0; a < e; a++) - n.push(`d${a}`); - if (t10.length === 1) - return ` fn getCoordsFromIndex(index : i32) -> vec2 { - let d0 = index / uniforms.outShapeStrides; let d1 = index - d0 * uniforms.outShapeStrides; +function Dv(r, e = "") { + let t10 = r.length, o = e !== "" ? `get${e.charAt(0).toUpperCase() + e.slice(1)}CoordsFromIndex` : "getCoordsFromIndex", n = e !== "" ? `${e.charAt(0).toLowerCase() + e.slice(1)}ShapeStrides` : "outShapeStrides"; + if (t10 <= 1) + return `fn ${o}(index : i32) -> i32 { return index; }`; + let s = y.computeStrides(r), a = Nt(t10), i = []; + for (let u = 0; u < t10; u++) + i.push(`d${u}`); + if (s.length === 1) + return ` fn ${o}(index : i32) -> vec2 { + let d0 = index / uniforms.${n}; let d1 = index - d0 * uniforms.${n}; return vec2(d0, d1); }`; - let s; - return s = "var index2 = index;" + t10.map((a, i) => { - let p = `let ${n[i]} = index2 / uniforms.outShapeStrides.${Ao(i)}`, u = i === t10.length - 1 ? `let ${n[i + 1]} = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}` : `index2 = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}`; - return `${p}; ${u};`; + let p; + return p = "var index2 = index;" + s.map((u, c) => { + let l = `let ${i[c]} = index2 / uniforms.${n}.${Po(c)}`, m = c === s.length - 1 ? `let ${i[c + 1]} = index2 - ${i[c]} * uniforms.${n}.${Po(c)}` : `index2 = index2 - ${i[c]} * uniforms.${n}.${Po(c)}`; + return `${l}; ${m};`; }).join(""), ` - fn getCoordsFromIndex(index : i32) -> ${o} { - ${s} - return ${o}(${n.join(",")}); + fn ${o}(index : i32) -> ${a} { + ${p} + return ${a}(${i.join(",")}); } `; } -function Zee(r, e) { - let t10 = r.name, o = r.shape.length, n = Rt(o), s = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), a = ["d0", "d1", "d2", "d3", "d4", "d5"].slice(0, o), i = a.map((c) => `${c} : i32`).join(", "); +function ase(r, e) { + let t10 = r.name, o = r.shape.length, n = Nt(o), s = "get" + t10.charAt(0).toUpperCase() + t10.slice(1), a = ["d0", "d1", "d2", "d3", "d4", "d5"].slice(0, o), i = a.map((c) => `${c} : i32`).join(", "); if (o < 1) - return e ? ` - fn ${s}() -> vec4 { - return vec4(${t10}[0]); - } - ` : ` - fn ${s}() ->f32 { - return f32(${t10}[0]); + return ` + fn ${s}() -> ${Ae(e)} { + return ${Ae(e)}(${t10}[0]); } `; let p = `uniforms.${t10.charAt(0).toLowerCase() + t10.slice(1)}Shape`, u = `${o}D`; - return o === 0 && (u = "1D"), e ? ` - fn ${s}(${i}) -> vec4 { - return vec4(${t10}[getIndexFromCoords${u}(${n}(${a.join(",")}), - ${p}) / 4]); - } - ` : ` - fn ${s}(${i}) -> f32 { - return f32(${t10}[getIndexFromCoords${u}(${n}(${a.join(",")}), - ${p})]); + return o === 0 && (u = "1D"), ` + fn ${s}(${i}) -> ${Ae(e)} { + return ${Ae(e)}(${t10}[getIndexFromCoords${u}(${n}(${a.join(",")}), + ${p})${e === 1 ? "" : ` / ${e}`}]); } `; } -function Jee(r, e, t10, o) { - let n = r.name, s = n.charAt(0).toUpperCase() + n.slice(1), a = "get" + s + "ByOutput", i = r.shape.length, p = e.length, u = Rt(p); +function ise(r, e, t10, o) { + let n = r.name, s = n.charAt(0).toUpperCase() + n.slice(1), a = "get" + s + "ByOutput", i = r.shape.length, p = e.length, u = Nt(p); if (y.arraysEqual(r.shape, e) && o) - return t10 ? ` - fn ${a}Index(globalIndex : i32) -> vec4 { - return vec4(${n}[globalIndex]); - } - - fn ${a}Coords(coords : ${u}) -> vec4 { - return vec4(${n}[${p > 1 ? "getOutputIndexFromCoords(coords)" : "coords"} / 4]); - } - ` : ` - fn ${a}Index(globalIndex : i32) -> f32 { - return f32(${n}[globalIndex]); + return ` + fn ${a}Index(globalIndex : i32) -> ${Ae(t10)} { + return ${Ae(t10)}(${n}[globalIndex]); } - fn ${a}Coords(coords : ${u}) -> f32 { - return f32(${n}[${p > 1 ? "getOutputIndexFromCoords(coords)" : "coords"}]); + fn ${a}Coords(coords : ${u}) -> ${Ae(t10)} { + return ${Ae(t10)}(${n}[${p > 1 ? "getOutputIndexFromCoords(coords)" : "coords"}${t10 === 1 ? "" : ` / ${t10}`}]); } `; - let c = S.getBroadcastDims(r.shape, e), l = p - i, m = ""; + let c = C.getBroadcastDims(r.shape, e), l = p - i, m = ""; if (i === 0) - return t10 ? ` - fn ${a}Index(globalIndex : i32) -> vec4 { + return ` + fn ${a}Index(globalIndex : i32) -> ${Ae(t10)}{ return get${s}(); } - fn ${a}Coords(coords : ${u}) -> vec4 { - return get${s}(); - } - ` : ` - fn ${a}Index(globalIndex : i32) -> f32{ - return get${s}(); - } - - fn ${a}Coords(coords : ${u}) -> f32{ + fn ${a}Coords(coords : ${u}) -> ${Ae(t10)}{ return get${s}(); } `; - p < 2 && c.length >= 1 ? m = "coords = 0;" : m = c.map((g) => `coords.${Ao(g + l)} = 0;`).join(` + p < 2 && c.length >= 1 ? m = "coords = 0;" : m = c.map((g) => `coords.${Po(g + l)} = 0;`).join(` `); let d = ""; if (p < 2 && i > 0) d = "coords"; else if (p > 1) { - let g = Rt(i), x = r.shape.map((b, C) => `coords.${Ao(C + l)}`).join(", "); + let g = Nt(i), x = r.shape.map((b, w) => `coords.${Po(w + l)}`).join(", "); d = `${g}(${x})`; } else d = "coords"; let f = `uniforms.${n.charAt(0).toLowerCase() + n.slice(1)}Shape`, h = `${i}D`; - return t10 ? ` - fn ${a}Index(globalIndex : i32) -> vec4 { - var coords = getCoordsFromIndex(globalIndex); - ${m} - return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4]; - } - - fn ${a}Coords(coordsIn : ${u}) -> vec4 { - var coords = coordsIn; - ${m} - return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4]; - } - ` : ` - fn ${a}Index(globalIndex : i32) -> f32 { + return ` + fn ${a}Index(globalIndex : i32) -> ${Ae(t10)} { var coords = getCoordsFromIndex(globalIndex); ${m} - return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]); + return ${Ae(t10)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t10 === 1 ? "" : ` / ${t10}`}]); } - fn ${a}Coords(coordsIn : ${u}) -> f32 { + fn ${a}Coords(coordsIn : ${u}) -> ${Ae(t10)} { var coords = coordsIn; ${m} - return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]); + return ${Ae(t10)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t10 === 1 ? "" : ` / ${t10}`}]); } `; } -function ete(r, e, t10, o) { - let n = Zee(r, t10); - return r.shape.length <= e.length && (n += Jee(r, e, t10, o)), n; +function use(r, e, t10, o) { + let n = ase(r, t10); + return r.shape.length <= e.length && (n += ise(r, e, t10, o)), n; } -function tte(r, e) { +function pse(r, e) { let { x: t10, y: o = [], z: n = [] } = e, s = r.length, a = t10.length + o.length + n.length; if (a !== s) return ""; if (t10.length === s) - return `fn getOutputCoords() -> ${Rt(s)}{ + return `fn getOutputCoords() -> ${Nt(s)}{ let globalIndex = getGlobalIndex(); return getCoordsFromIndex(globalIndex); } @@ -26083,7 +26876,7 @@ function tte(r, e) { if (d.length === 1) i += `let d${d[0]} = i32(globalId[${m}]);`; else { - let f = R3(d, "uniforms.outShape"); + let f = dB(d, "uniforms.outShape"); i += `var index${m} = i32(globalId[${m}]);`; for (let h = 0; h < f.length; h++) i += `let d${d[h]} = index${m} / ${f[h]};`, h === f.length - 1 ? i += `let d${d[h + 1]} = index${m} - d${d[h]} * ${f[h]};` : i += `index${m} = index${m} - d${d[h]} * ${f[h]};`; @@ -26092,12 +26885,12 @@ function tte(r, e) { let u = []; for (let m = 0; m < a; m++) u.push(`d${m}`); - let c = Rt(a), l = `fn getOutputCoords() -> ${c} { + let c = Nt(a), l = `fn getOutputCoords() -> ${c} { ${i} `; return u.length === 0 ? l += `return ${c}(0); }` : l += `return ${c}(${u.join(",")}); }`, l; } -function rte(r) { +function cse(r) { let e = ""; switch (r) { case 0: @@ -26159,114 +26952,106 @@ function rte(r) { } return e; } -function B3(r) { +function bB(r) { return r.dispatch[1] === 1 && r.dispatch[2] === 1; } -function vc(r, e) { - return r === "float32" ? e ? "vec4" : "f32" : r === "int32" || r === "bool" ? e ? "vec4" : "i32" : r; +function kp(r, e = 1) { + if (r === "float32") + return Ae(e, "f32"); + if (r === "int32" || r === "bool") + return Ae(e, "i32"); + throw new Error(`type ${r} is not supported.`); } -function ote(r, e, t10) { - let o = r.length, n = vc(e, t10), s; - if (t10 ? s = `fn setOutputAtIndex(flatIndex : i32, value : vec4) { +function lse(r, e, t10) { + let o = r.length, n = kp(e, t10), s = `fn setOutputAtIndex(flatIndex : i32, value : ${Ae(t10)}) { result[flatIndex] = ${n}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : vec4) { - result[flatIndex] = ${n}(value); - }` : s = `fn setOutputAtIndex(flatIndex : i32, value : f32) { + + fn setOutputAtIndexI32(flatIndex : i32, value : ${Ae(t10, "i32")}) { result[flatIndex] = ${n}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : i32) { - result[flatIndex] = ${n}(value); - }`, o >= 2) { - let a = ["d0", "d1", "d2", "d3", "d4", "d5"].slice(0, o), i = Rt(o); - t10 ? s += ` - fn setOutputAtCoords(${a.map((p) => `${p} : i32`).join(", ")}, value : vec4) { + `; + if (o >= 2) { + let a = ["d0", "d1", "d2", "d3", "d4", "d5"].slice(0, o), i = Nt(o); + s += ` + fn setOutputAtCoords(${a.map((p) => `${p} : i32`).join(", ")}, value : ${Ae(t10)}) { let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndex(flatIndex / 4, value); + setOutputAtIndex(flatIndex${t10 === 1 ? "" : ` / ${t10}`}, value); } - fn setOutputAtCoordsI32(${a.map((p) => `${p} : i32`).join(", ")}, value : vec4) { + fn setOutputAtCoordsI32(${a.map((p) => `${p} : i32`).join(", ")}, value : ${Ae(t10, "i32")}) { let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndexI32(flatIndex / 4, value); - } - ` : s += ` - fn setOutputAtCoords(${a.map((p) => `${p} : i32`).join(", ")}, value : f32) { - let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndex(flatIndex, value); - } - fn setOutputAtCoordsI32(${a.map((p) => `${p} : i32`).join(", ")}, value : i32) { - let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndexI32(flatIndex, value); + setOutputAtIndexI32(flatIndex${t10 === 1 ? "" : ` / ${t10}`}, value); } `; } return s; } -function nte(r) { +function mse(r) { let e = /(\w+)\s*:\s*vec(5|6)/g; r = r.replace(e, (o) => "@align(16) " + o); let t10 = /vec(5|6)\s*,\s*(\w+)/g; return r = r.replace(t10, (o, n, s) => `vec${n}, @align(16) ${s}`), r; } -function P3(r) { +function gB(r) { return !(r.dispatchLayout.hasOwnProperty("y") && r.dispatchLayout.y.length !== 0 || r.dispatchLayout.hasOwnProperty("z") && r.dispatchLayout.z.length !== 0); } -var hI = {}; -Ge(hI, { GPUBytesPerElement: () => _g, MatMulProgramType: () => Ro, assertNotComplex: () => fI, computeDispatch: () => Y, computeWorkPerThreadForConv2d: () => Vl, computeWorkgroupInfoForMatMul: () => dI, computeWorkgroupSizeForConv2d: () => Bl, flatDispatchLayout: () => ae, isWebGPUSupported: () => zl, tilesFitEvenlyIntoShape: () => ate }); -var Ku = (r) => { +var Fv = {}; +He(Fv, { GPUBytesPerElement: () => Hg, MatMulProgramType: () => Oo, assertNotComplex: () => cm, computeDispatch: () => q, computeWorkPerThreadForConv2d: () => um, computeWorkgroupInfoForMatMul: () => Av, computeWorkgroupSizeForConv2d: () => im, flatDispatchLayout: () => Z, isWebGPUSupported: () => pm, tilesFitEvenlyIntoShape: () => fse }); +var Np = (r) => { let e = 1; for (let t10 = 0; t10 < r.length; t10++) e *= r[t10]; return e; }; -function ate(r, e) { +function fse(r, e) { if (r.length !== e.length) throw new Error(`Cannot compute whether rank ${r.length} tiles fit evenly into rank ${e.length} shape - ranks must match.`); return e.every((t10, o) => t10 % r[o] === 0); } -function Y(r, e, t10 = [1, 1, 1], o = [1, 1, 1]) { - let [n, s, a] = [Math.ceil(Ku(r.x.map((i) => e[i])) / (t10[0] * o[0])), r.y ? Math.ceil(Ku(r.y.map((i) => e[i])) / (t10[1] * o[1])) : 1, r.z ? Math.ceil(Ku(r.z.map((i) => e[i])) / (t10[2] * o[2])) : 1]; +function q(r, e, t10 = [1, 1, 1], o = [1, 1, 1]) { + let [n, s, a] = [Math.ceil(Np(r.x.map((i) => e[i])) / (t10[0] * o[0])), r.y ? Math.ceil(Np(r.y.map((i) => e[i])) / (t10[1] * o[1])) : 1, r.z ? Math.ceil(Np(r.z.map((i) => e[i])) / (t10[2] * o[2])) : 1]; return [n, s, a]; } -function dI(r, e, t10, o = false) { +function Av(r, e, t10, o = false) { let n = [8, 8, 1], s = [4, 4, 1]; return o || (r <= 8 && (s[1] = 1), e <= 16 && t10 <= 16 && (n[0] = 4)), { workgroupSize: n, elementsPerThread: s }; } -function Bl(r, e, t10 = false) { +function im(r, e, t10 = false) { if (t10) return [8, 8, 1]; - let o = Ku(r.x.map((s) => e[s])), n = Ku(r.y.map((s) => e[s])); + let o = Np(r.x.map((s) => e[s])), n = Np(r.y.map((s) => e[s])); return o <= 4 ? [4, 16, 1] : n <= 4 ? [16, 4, 1] : [16, 16, 1]; } -function Vl(r, e, t10 = false) { +function um(r, e, t10 = false) { if (t10) return [4, 4, 1]; - let o = Ku(r.x.map((s) => e[s])), n = Ku(r.y.map((s) => e[s])); + let o = Np(r.x.map((s) => e[s])), n = Np(r.y.map((s) => e[s])); return o <= 4 ? [1, 2, 1] : n <= 4 ? [2, 1, 1] : [2, 2, 1]; } -function ae(r) { +function Z(r) { return { x: r.map((e, t10) => t10) }; } -function _g(r) { +function Hg(r) { if (r === "float32" || r === "int32" || r === "bool" || r === "string") return 4; if (r === "complex64") return 8; throw new Error(`Unknown dtype ${r}`); } -function zl() { +function pm() { return (typeof window != "undefined" || typeof WorkerGlobalScope != "undefined") && !!navigator.gpu; } -function fI(r, e) { +function cm(r, e) { Array.isArray(r) || (r = [r]), r.forEach((t10) => { t10 != null && y.assert(t10.dtype !== "complex64", () => `${e} does not support complex64 tensors in the WebGPU backend.`); }); } -var Ro; +var Oo; (function(r) { r[r.MatMulReduceProgram = 0] = "MatMulReduceProgram", r[r.MatMulSplitKProgram = 1] = "MatMulSplitKProgram", r[r.MatMulSmallOutputSizeProgram = 2] = "MatMulSmallOutputSizeProgram", r[r.MatMulPackedProgram = 3] = "MatMulPackedProgram", r[r.MatMulMax = 4] = "MatMulMax"; -})(Ro || (Ro = {})); -var ite = O().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"); -var ute = (r, e) => { +})(Oo || (Oo = {})); +var hse = P().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"); +var gse = (r, e) => { let t10 = r.limits.maxComputeWorkgroupsPerDimension, o = e.dispatchLayout, n = e.dispatch; if (n.every((a) => a <= t10)) return n; @@ -26274,14 +27059,14 @@ var ute = (r, e) => { let s = Math.ceil(Math.sqrt(n[0])); return s > t10 ? (s = Math.ceil(Math.cbrt(n[0])), y.assert(s <= t10, () => "Total dispatch size exceeds WebGPU maximum."), [s, s, s]) : [s, s, 1]; }; -var Gi = class extends Zr { - constructor(e, t10) { - if (super(), this.commandQueueOwnedIds = /* @__PURE__ */ new WeakSet(), this.dispatchNumberInEncoder = 0, this.disposed = false, this.downloadWaitMs = 0, this.tensorDataPendingDisposal = [], this.stagingPendingDisposal = [], this.uniformPendingDisposal = [], this.uploadWaitMs = 0, !zl()) - throw new Error("WebGPU is not supported on this device"); - this.pipelineCache = {}, this.device = e, this.queue = e.queue, this.currentCommandEncoder = null, this.currentComputePass = null, this.supportTimeQuery = e.features.has("timestamp-query-inside-passes"), this.adapterInfo = new kg(t10), this.thresholdToIncreaseWorkgroups = this.adapterInfo.intelGPUGeneration >= 12 ? 16 : 8, this.bufferManager = new Ng(this.device), this.textureManager = new Tg(this.device), this.tensorMap = new Fo(this, sr()), this.supportTimeQuery && (this.querySet = this.device.createQuerySet({ type: "timestamp", count: 2 })), O().getBool("WEBGPU_USE_PROFILE_TOOL") && (this.dummyCanvas = document.createElement("canvas"), this.dummyCanvas.width = 1, this.dummyCanvas.height = 1, this.dummyContext = this.dummyCanvas.getContext("webgpu"), this.dummyContext.configure({ device: e, format: "bgra8unorm" }), document.body.appendChild(this.dummyCanvas)); - } +var Cu = class extends ro { nextDataId() { - return Gi.nextDataId++; + return Cu.nextDataId++; + } + constructor(e, t10) { + if (super(), this.commandQueueOwnedIds = /* @__PURE__ */ new WeakSet(), this.dispatchNumberInEncoder = 0, this.disposed = false, this.downloadWaitMs = 0, this.tensorDataPendingDisposal = [], this.stagingPendingDisposal = [], this.uniformPendingDisposal = [], this.uploadWaitMs = 0, !pm()) + throw new Error("WebGPU is not supported on this device"); + this.pipelineCache = {}, this.device = e, this.queue = e.queue, this.currentCommandEncoder = null, this.currentComputePass = null, this.supportTimeQuery = e.features.has("timestamp-query-inside-passes"), this.adapterInfo = new Wg(t10), this.thresholdToIncreaseWorkgroups = this.adapterInfo.intelGPUGeneration >= 12 ? 16 : 8, this.bufferManager = new Ug(this.device), this.textureManager = new Gg(this.device), this.tensorMap = new Lo(this, ur()), this.supportTimeQuery && (this.querySet = this.device.createQuerySet({ type: "timestamp", count: 2 })), P().getBool("WEBGPU_USE_PROFILE_TOOL") && (this.dummyCanvas = document.createElement("canvas"), this.dummyCanvas.width = 1, this.dummyCanvas.height = 1, this.dummyContext = this.dummyCanvas.getContext("webgpu"), this.dummyContext.configure({ device: e, format: "bgra8unorm" }), document.body.appendChild(this.dummyCanvas)); } floatPrecision() { return 32; @@ -26349,7 +27134,7 @@ var Gi = class extends Zr { submitQueue() { this.ensureComputePassEnded(), this.queue.submit([this.currentCommandEncoder.finish()]), this.currentCommandEncoder = null, this.dispatchNumberInEncoder = 0, this.commandQueueOwnedIds = /* @__PURE__ */ new WeakSet(), this.tensorDataPendingDisposal.forEach((e) => { this.releaseResource(e), this.tensorMap.delete(e); - }), this.uniformPendingDisposal.forEach((e) => this.bufferManager.releaseBuffer(e.buffer, e.size, e.usage)), this.stagingPendingDisposal.forEach((e) => this.bufferManager.releaseUploadBuffer(e.buffer, e.size, e.usage)), this.tensorDataPendingDisposal = [], this.uniformPendingDisposal = [], this.stagingPendingDisposal = []; + }), this.uniformPendingDisposal.forEach((e) => this.bufferManager.releaseBuffer(e.buffer, e.size, e.usage)), this.stagingPendingDisposal.forEach((e) => this.bufferManager.releaseBuffer(e.buffer, e.size, e.usage, false)), this.tensorDataPendingDisposal = [], this.uniformPendingDisposal = [], this.stagingPendingDisposal = []; } ensureCommandEncoderReady() { this.currentCommandEncoder || (this.currentCommandEncoder = this.device.createCommandEncoder()); @@ -26364,28 +27149,58 @@ var Gi = class extends Zr { let o = this.bufferManager.acquireBuffer(t10, GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ); this.ensureCommandEncoderReady(), this.ensureComputePassEnded(), this.currentCommandEncoder.copyBufferToBuffer(e, 0, o, 0, t10), this.submitQueue(), await o.mapAsync(GPUMapMode.READ); let n = o.getMappedRange().slice(0); - return o.unmap(), o != null && this.bufferManager.releaseBuffer(o, t10, GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ), O().getBool("WEBGPU_USE_PROFILE_TOOL") && (y.assert(this.dummyContext !== void 0, () => "Fail to get context for profiling tool"), this.dummyContext.getCurrentTexture()), n; + return o.unmap(), o != null && this.bufferManager.releaseBuffer(o, t10, GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ), P().getBool("WEBGPU_USE_PROFILE_TOOL") && (y.assert(this.dummyContext !== void 0, () => "Fail to get context for profiling tool"), this.dummyContext.getCurrentTexture()), n; } convertAndCacheOnCPU(e, t10) { let o = this.tensorMap.get(e); return this.releaseResource(e), o.values = t10, o.values; } readSync(e) { - let t10 = this.tensorMap.get(e), { values: o } = t10; - if (o == null) - throw new Error("WebGPU readSync is only available for CPU-resident tensors."); - return o; + let t10 = this.tensorMap.get(e), { values: o, complexTensorInfos: n } = t10; + if (o != null || t10.dtype === "string") + return o; + if (t10.dtype === "complex64") { + let h = this.readSync(n.real.dataId), g = this.readSync(n.imag.dataId), x = y.convertBackendValuesAndArrayBuffer(C.mergeRealAndImagArrays(h, g).buffer, "float32"); + return this.convertAndCacheOnCPU(e, x), x; + } + let s = ["opaque", "premultiplied"], a = t10.resourceInfo, i = a.size; + y.assert(i % 4 === 0, () => "Because there is 4 bytes for one pixel, buffer size must be multiple of 4."); + let p = i / 4, u = new ArrayBuffer(i), c = 256, l = 256, m = s.map((h) => new OffscreenCanvas(c, l)), d = new OffscreenCanvas(c, l); + this.ensureComputePassEnded(), m.map((h, g) => { + let x = h.getContext("webgpu"); + return x.configure({ device: this.device, format: "bgra8unorm", usage: GPUTextureUsage.COPY_DST, alphaMode: s[g] }), x.getCurrentTexture(); + }).map((h, g) => { + let x = c * 4, b = (R, D, F) => { + this.ensureCommandEncoderReady(), this.currentCommandEncoder.copyBufferToTexture({ buffer: a.buffer, bytesPerRow: x, offset: F }, { texture: h }, { width: R, height: D }), this.submitQueue(); + let O = d.getContext("2d", { willReadFrequently: true }); + O.clearRect(0, 0, R, D), O.drawImage(m[g], 0, 0); + let M = O.getImageData(0, 0, R, D).data, L = s[g], B = new Uint8ClampedArray(u, F, R * D * 4); + for (let z = 0; z < B.length; z += 4) + if (L === "premultiplied") + B[z + 3] = M[z + 3]; + else { + let U = M[z]; + B[z] = M[z + 2], B[z + 1] = M[z + 1], B[z + 2] = U; + } + }, w = Math.floor(p / (c * l)), S = c, k = l, _ = 0; + for (let R = 0; R < w; R++) + b(S, k, _), _ += c * l * 4; + let E = p % (c * l); + k = Math.floor(E / c), k > 0 && (b(S, k, _), _ += k * (c * 4)), S = E % c, S > 0 && b(S, 1, _); + }); + let f = y.convertBackendValuesAndArrayBuffer(u, t10.dtype); + return this.convertAndCacheOnCPU(e, f), f; } async read(e) { if (!this.tensorMap.has(e)) throw new Error(`Tensor ${e} was not registered!`); let t10 = this.tensorMap.get(e), { values: o } = t10; if (o != null) - return this.convertAndCacheOnCPU(e, o); + return o; let n; if (t10.dtype === "complex64") { let s = await Promise.all([this.read(t10.complexTensorInfos.real.dataId), this.read(t10.complexTensorInfos.imag.dataId)]), a = s[0], i = s[1]; - n = S.mergeRealAndImagArrays(a, i); + n = C.mergeRealAndImagArrays(a, i); } else { let s = t10.resourceInfo, a = await this.getBufferData(s.buffer, s.size); n = y.convertBackendValuesAndArrayBuffer(a, t10.dtype); @@ -26402,12 +27217,12 @@ var Gi = class extends Zr { throw new Error("Cannot write to a complex64 dtype. "); let s = { id: this.nextDataId() }; this.tensorMap.set(s, { dtype: o, shape: t10, values: null, refCount: 1, external: e.zeroCopy }); - let a = this.tensorMap.get(s), i = _g(a.dtype) * y.sizeFromShape(a.shape); + let a = this.tensorMap.get(s), i = Hg(a.dtype) * y.sizeFromShape(a.shape); if (e.buffer.size < i) throw new Error(`GPUBuffer size(${e.buffer.size}) is smaller than tensor size(${i})!`); if ((e.buffer.usage & (GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC)) !== (GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC)) throw new Error("GPUBuffer.usage should include GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC!"); - return e.zeroCopy !== true && (n = this.copyBuffer(n, i, n.usage)), a.resourceInfo = { size: n.size, usage: n.usage, buffer: n }, sr().makeTensorFromDataId(s, t10, o, this); + return e.zeroCopy !== true && (n = this.copyBuffer(n, i, n.usage)), a.resourceInfo = { size: n.size, usage: n.usage, buffer: n }, ur().makeTensorFromDataId(s, t10, o, this); } readToGPU(e) { let t10 = this.tensorMap.get(e), { values: o, dtype: n, shape: s, resourceInfo: a } = t10; @@ -26417,19 +27232,19 @@ var Gi = class extends Zr { throw o != null ? new Error("Data is not on GPU but on CPU.") : new Error("There is no data on GPU or CPU."); let i = a.size, p = this.bufferManager.acquireBuffer(i, a.usage); this.ensureCommandEncoderReady(), this.ensureComputePassEnded(), this.currentCommandEncoder.copyBufferToBuffer(a.buffer, 0, p, 0, i), this.submitQueue(); - let u = this.makeTensorInfo(s, n), c = sr().makeTensorFromTensorInfo(u), l = this.tensorMap.get(u.dataId); - return l.resourceInfo = { size: i, usage: this.defaultGpuBufferUsage(), buffer: p }, { tensorRef: c, buffer: p, bufSize: i }; + let u = this.makeTensorInfo(s, n), c = ur().makeTensorFromTensorInfo(u), l = this.tensorMap.get(u.dataId); + return l.resourceInfo = { size: i, usage: this.defaultGpuBufferUsage(), buffer: p }, { tensorRef: c, buffer: p }; } bufferSync(e) { let t10 = this.readSync(e.dataId); if (e.dtype === "string") try { let o = t10.map((n) => y.decodeString(n)); - return le(e.shape, e.dtype, o); + return me(e.shape, e.dtype, o); } catch (o) { throw new Error("Failed to decode encoded string bytes into utf-8"); } - return le(e.shape, e.dtype, t10); + return me(e.shape, e.dtype, t10); } async time(e) { this.supportTimeQuery || console.warn("This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU."); @@ -26461,13 +27276,19 @@ var Gi = class extends Zr { let t10 = this.tensorMap.get(e); if (t10.resourceInfo) return; - let o = _g(t10.dtype) * y.sizeFromShape(t10.shape), n = this.bufferManager.acquireBuffer(o, this.defaultGpuBufferUsage()); - if (t10.resourceInfo = { size: o, usage: this.defaultGpuBufferUsage(), buffer: n }, t10.values) { - let s = this.bufferManager.acquireUploadBuffer(o, GPUBufferUsage.MAP_WRITE | GPUBufferUsage.COPY_SRC), a = s.getMappedRange(); - t10.dtype === "int32" || t10.dtype === "bool" ? new Int32Array(a).set(t10.values) : new Float32Array(a).set(t10.values), s.unmap(), this.ensureCommandEncoderReady(), this.ensureComputePassEnded(), this.currentCommandEncoder.copyBufferToBuffer(s, 0, n, 0, o); - let i = { size: o, usage: GPUBufferUsage.MAP_WRITE | GPUBufferUsage.COPY_SRC, buffer: s }; - this.stagingPendingDisposal.push(i); - } + let o = Hg(t10.dtype) * y.sizeFromShape(t10.shape), n; + if (t10.values) { + if (n = this.bufferManager.acquireBuffer(o, this.defaultGpuBufferUsage(), true), n.mapState === "unmapped") { + let s = this.bufferManager.acquireBuffer(o, GPUBufferUsage.MAP_WRITE | GPUBufferUsage.COPY_SRC, true, false), a = s.getMappedRange(); + t10.dtype === "int32" || t10.dtype === "bool" ? new Int32Array(a).set(t10.values) : new Float32Array(a).set(t10.values), s.unmap(), this.ensureCommandEncoderReady(), this.ensureComputePassEnded(), this.currentCommandEncoder.copyBufferToBuffer(s, 0, n, 0, o), this.stagingPendingDisposal.push({ size: o, usage: GPUBufferUsage.MAP_WRITE | GPUBufferUsage.COPY_SRC, buffer: s }); + } else { + let s = n.getMappedRange(); + t10.dtype === "int32" || t10.dtype === "bool" ? new Int32Array(s).set(t10.values) : new Float32Array(s).set(t10.values), n.unmap(); + } + t10.values = null; + } else + n = this.bufferManager.acquireBuffer(o, this.defaultGpuBufferUsage()); + t10.resourceInfo = { size: o, usage: this.defaultGpuBufferUsage(), buffer: n }; } makeUniforms(e) { let t10 = 0, o = 0, n = [], s = 1; @@ -26511,32 +27332,32 @@ var Gi = class extends Zr { runWebGPUProgram(e, t10, o, n, s) { if (s || (s = this.makeTensorInfo(e.outputShape, o)), y.sizeFromShape(s.shape) === 0) return this.tensorMap.get(s.dataId).values = y.getTypedArrayFromDType(s.dtype, 0), s; - this.uploadToGPU(s.dataId), e.dispatch = ute(this.device, e); + this.uploadToGPU(s.dataId), e.dispatch = gse(this.device, e); let a = [], i = []; if (!e.isFromPixels) { - a.push({ type: "float32", data: [NaN] }, { type: "float32", data: [1 / 0] }), i = t10.concat(s).map((x) => x.shape); + a.push({ type: "float32", data: [NaN] }, { type: "float32", data: [1 / 0] }), i = t10.concat(s).map((g) => g.shape); let h = "int32"; - i.map((x) => { + if (i.map((g) => { + a.push({ type: h, data: g }); + let x = y.computeStrides(g); a.push({ type: h, data: x }); - }); - let g = y.computeStrides(s.shape); - if (a.push({ type: h, data: g }), e.size) { - let x = y.sizeFromShape(e.outputShape); - a.push({ type: h, data: [e.isVec4 ? x / 4 : x] }); + }), e.size) { + let g = y.sizeFromShape(e.outputShape); + a.push({ type: h, data: [e.outputComponent ? g / e.outputComponent : g] }); } } let p = t10.map((h, g) => { if (h.dtype === "complex64") throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts."); return this.uploadToGPU(h.dataId), { dtype: this.tensorMap.get(h.dataId).dtype, shape: h.shape, name: e.variableNames[g] }; - }), u = L3(e, i, p, s), c; - u in this.pipelineCache ? c = this.pipelineCache[u] : (c = M3(this.device, e, p, s), this.pipelineCache[u] = c), n && (a = [...a, ...n]); + }), u = yB(e, i, p, s), c; + u in this.pipelineCache ? c = this.pipelineCache[u] : (c = xB(this.device, e, p, s, u), this.pipelineCache[u] = c), n && (a = [...a, ...n]); let l = [this.tensorToBinding(s), ...t10.map((h) => this.tensorToBinding(h)), this.makeUniforms(a)], m = this.device.createBindGroup({ layout: c.getBindGroupLayout(0), entries: l.map((h, g) => ({ binding: g, resource: h })) }); this.ensureCommandEncoderReady(); let d = this.getComputePass(), f = this.activeTimers != null; return f && this.supportTimeQuery && d.writeTimestamp(this.querySet, 0), d.setPipeline(c), d.setBindGroup(0, m), d.dispatchWorkgroups(e.dispatch[0], e.dispatch[1], e.dispatch[2]), f && this.supportTimeQuery && d.writeTimestamp(this.querySet, 1), this.dispatchNumberInEncoder++, t10.forEach((h) => { this.commandQueueOwnedIds.add(h.dataId); - }), this.commandQueueOwnedIds.add(s.dataId), O().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE") <= this.dispatchNumberInEncoder && this.submitQueue(), f && this.activeTimers.push({ name: e.constructor.name, query: this.getQueryTime(this.querySet) }), s; + }), this.commandQueueOwnedIds.add(s.dataId), P().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE") <= this.dispatchNumberInEncoder && this.submitQueue(), f && this.activeTimers.push({ name: e.constructor.name, query: this.getQueryTime(this.querySet) }), s; } async getTimeFromQuerySet(e) { let t10 = this.bufferManager.acquireBuffer(16, GPUBufferUsage.COPY_SRC | GPUBufferUsage.QUERY_RESOLVE), o = this.bufferManager.acquireBuffer(16, GPUBufferUsage.MAP_READ | GPUBufferUsage.COPY_DST); @@ -26544,8 +27365,8 @@ var Gi = class extends Zr { let n = new BigUint64Array(o.getMappedRange()), s = Number(n[1] - n[0]); return o.unmap(), this.bufferManager.releaseBuffer(o, 16, GPUBufferUsage.MAP_READ | GPUBufferUsage.COPY_DST), this.bufferManager.releaseBuffer(t10, 16, GPUBufferUsage.COPY_SRC | GPUBufferUsage.QUERY_RESOLVE), s / 1e6; } - shouldExecuteOnCPU(e, t10 = ite) { - return O().getBool("WEBGPU_CPU_FORWARD") && e.every((o) => this.tensorMap.get(o.dataId).resourceInfo == null && y.sizeFromShape(o.shape) < t10); + shouldExecuteOnCPU(e, t10 = hse) { + return P().getBool("WEBGPU_CPU_FORWARD") && e.every((o) => this.tensorMap.get(o.dataId).resourceInfo == null && y.sizeFromShape(o.shape) < t10); } numDataIds() { return this.tensorMap.numDataIds() - this.tensorDataPendingDisposal.length; @@ -26554,46 +27375,46 @@ var Gi = class extends Zr { this.disposed || (this.bufferManager.dispose(), this.textureManager.dispose(), this.disposed = true); } }; -Gi.nextDataId = 0; -zl() && Ti("webgpu", async () => { - O().set("CHECK_COMPUTATION_FOR_ERRORS", false); - let r = { powerPreference: O().get("WEBGPU_USE_LOW_POWER_GPU") ? "low-power" : "high-performance" }, e = await navigator.gpu.requestAdapter(r), t10 = {}; +Cu.nextDataId = 0; +pm() && eu("webgpu", async () => { + let r = { powerPreference: P().get("WEBGPU_USE_LOW_POWER_GPU") ? "low-power" : "high-performance" }, e = await navigator.gpu.requestAdapter(r), t10 = {}; e.features.has("timestamp-query-inside-passes") && (t10.requiredFeatures = ["timestamp-query-inside-passes"]); let o = e.limits; - t10.requiredLimits = { maxComputeWorkgroupStorageSize: o.maxComputeWorkgroupStorageSize, maxComputeWorkgroupsPerDimension: o.maxComputeWorkgroupsPerDimension, maxStorageBufferBindingSize: o.maxStorageBufferBindingSize }; + t10.requiredLimits = { maxComputeWorkgroupStorageSize: o.maxComputeWorkgroupStorageSize, maxComputeWorkgroupsPerDimension: o.maxComputeWorkgroupsPerDimension, maxStorageBufferBindingSize: o.maxStorageBufferBindingSize, maxBufferSize: o.maxBufferSize, maxComputeWorkgroupSizeX: o.maxComputeWorkgroupSizeX, maxComputeInvocationsPerWorkgroup: o.maxComputeInvocationsPerWorkgroup }; let n = await e.requestDevice(t10), s = await e.requestAdapterInfo(); - return new Gi(n, s); + return new Cu(n, s); }, 3); -var ge; +var fe; (function(r) { - r[r.ADD = 0] = "ADD", r[r.ATAN2 = 1] = "ATAN2", r[r.COMPLEX_MULTIPLY_IMAG = 2] = "COMPLEX_MULTIPLY_IMAG", r[r.COMPLEX_MULTIPLY_REAL = 3] = "COMPLEX_MULTIPLY_REAL", r[r.DIV = 4] = "DIV", r[r.EQUAL = 5] = "EQUAL", r[r.GREATER = 6] = "GREATER", r[r.GREATER_EQUAL = 7] = "GREATER_EQUAL", r[r.INT_DIV = 8] = "INT_DIV", r[r.LESS = 9] = "LESS", r[r.LESS_EQUAL = 10] = "LESS_EQUAL", r[r.LOGICAL_AND = 11] = "LOGICAL_AND", r[r.LOGICAL_OR = 12] = "LOGICAL_OR", r[r.MAX = 13] = "MAX", r[r.MIN = 14] = "MIN", r[r.MOD = 15] = "MOD", r[r.MUL = 16] = "MUL", r[r.NOT_EQUAL = 17] = "NOT_EQUAL", r[r.POW = 18] = "POW", r[r.PRELU = 19] = "PRELU", r[r.SQUARED_DIFFERENCE = 20] = "SQUARED_DIFFERENCE", r[r.SUB = 21] = "SUB"; -})(ge || (ge = {})); -var V3 = ` - if (isnan(a)) { return a; } - if (isnan(b)) { return b; } - `; -var $g = ` + r[r.ADD = 0] = "ADD", r[r.ATAN2 = 1] = "ATAN2", r[r.COMPLEX_MULTIPLY_IMAG = 2] = "COMPLEX_MULTIPLY_IMAG", r[r.COMPLEX_MULTIPLY_REAL = 3] = "COMPLEX_MULTIPLY_REAL", r[r.DIV = 4] = "DIV", r[r.ELU_DER = 5] = "ELU_DER", r[r.EQUAL = 6] = "EQUAL", r[r.GREATER = 7] = "GREATER", r[r.GREATER_EQUAL = 8] = "GREATER_EQUAL", r[r.INT_DIV = 9] = "INT_DIV", r[r.LESS = 10] = "LESS", r[r.LESS_EQUAL = 11] = "LESS_EQUAL", r[r.LOGICAL_AND = 12] = "LOGICAL_AND", r[r.LOGICAL_OR = 13] = "LOGICAL_OR", r[r.MAX = 14] = "MAX", r[r.MIN = 15] = "MIN", r[r.MOD = 16] = "MOD", r[r.MUL = 17] = "MUL", r[r.NOT_EQUAL = 18] = "NOT_EQUAL", r[r.POW = 19] = "POW", r[r.PRELU = 20] = "PRELU", r[r.SQUARED_DIFFERENCE = 21] = "SQUARED_DIFFERENCE", r[r.SUB = 22] = "SUB"; +})(fe || (fe = {})); +var xse = ` + resultTemp = select(resultTemp, valueForNaN, isNaN | isnan(a) | isnan(b));`; +var yse = ` resultTemp = select( resultTemp, vec4(valueForNaN), vec4(isNaN) | isnanVec4(a) | isnanVec4(b)); `; -var pte = "return a + b;"; -var cte = "return areal * breal - aimag * bimag;"; -var lte = "return areal * bimag + aimag * breal;"; -var mte = "return a / b;"; -var dte = "return f32(a == b);"; -var fte = "return vec4(a == b);"; -var hte = "return f32(a > b);"; -var gte = "return vec4(a > b);"; -var xte = "return f32(a >= b);"; -var yte = "return vec4(a >= b);"; -var bte = ` +var bse = "return a + b;"; +var Cse = "var resultTemp = atan2(a, b);"; +var wse = "return areal * breal - aimag * bimag;"; +var Sse = "return areal * bimag + aimag * breal;"; +var Ise = "return a / b;"; +var vse = "return select(a * (b + 1.0), a, b >= 0.);"; +var kse = "return select(a * (b + vec4(1.0)), a, b >= vec4(0.));"; +var Nse = "return f32(a == b);"; +var Tse = "return vec4(a == b);"; +var _se = "return f32(a > b);"; +var $se = "return vec4(a > b);"; +var Ese = "return f32(a >= b);"; +var Rse = "return vec4(a >= b);"; +var Dse = ` let s = sign(a) * sign(b); let ia = i32(round(a)); let ib = i32(round(b)); return f32(idiv(ia, ib, s)); `; -var Cte = ` +var Ase = ` let ia = vec4(round(a)); let ib = vec4(round(b)); let cond = ib != vec4(0); @@ -26615,34 +27436,27 @@ var Cte = ` } return vec4(resultTemp); `; -var Ste = "return f32(a < b);"; -var wte = "return vec4(a < b);"; -var Ite = "return f32(a <= b);"; -var vte = "return vec4(a <= b);"; -var kte = "return f32(a >= 1.0 && b >= 1.0);"; -var Nte = `return (vec4(a >= vec4(1.0)) * +var Fse = "return f32(a < b);"; +var Pse = "return vec4(a < b);"; +var Ose = "return f32(a <= b);"; +var Mse = "return vec4(a <= b);"; +var Lse = "return f32(a >= 1.0 && b >= 1.0);"; +var Bse = `return (vec4(a >= vec4(1.0)) * vec4(b >= vec4(1.0)));`; -var Tte = "return f32(a >= 1.0 || b >= 1.0);"; -var _te = `return min(vec4(a >= vec4(1.0)) + +var zse = "return f32(a >= 1.0 || b >= 1.0);"; +var Vse = `return min(vec4(a >= vec4(1.0)) + vec4(b >= vec4(1.0)), vec4(1.0));`; -var $te = ` - ${V3} - if (b == 0.) { - return uniforms.NAN; - } +var Wse = "var resultTemp = max(a, b);"; +var Use = "var resultTemp = min(a, b);"; +var Gse = ` + let isNaN = b == 0.; var resultTemp = a % b; - if ((a < 0. && b < 0.) || (a >= 0. && b > 0.)) { - return resultTemp; - } else { - return (resultTemp + b) % b; - } + resultTemp = select((resultTemp + b) % b, resultTemp, + (a < 0. && b < 0.) || (a >= 0. && b > 0.)); `; -var Ete = ` +var Hse = ` let isNaN = !vec4(b); - let valueForNaN = uniforms.NAN; var resultTemp = vec4(a % b); - ${$g} - if (!((a[0] < 0. && b[0] < 0.) || (a[0] >= 0. && b[0] > 0.))) { resultTemp[0] = (resultTemp[0] + b[0]) % b[0]; } @@ -26655,36 +27469,25 @@ var Ete = ` if (!((a[3] < 0. && b[3] < 0.) || (a[3] >= 0. && b[3] > 0.))) { resultTemp[3] = (resultTemp[3] + b[3]) % b[3]; } - - return resultTemp; `; -var Ate = "return a * b;"; -var Rte = ` - if (isnan(a) || isnan(b)) { - return 1.0; - } - return f32(a != b); +var Kse = "return a * b;"; +var qse = ` + var resultTemp = f32(a != b); + let valueForNaN = 1.0; `; -var Dte = ` +var jse = ` var resultTemp = vec4(a != b); let valueForNaN = 1.0; - ${$g} - - return resultTemp; `; -var Fte = ` - if(a < 0.0 && floor(b) < b) { - return uniforms.NAN; - } +var Xse = ` + let isNaN = a < 0.0 && floor(b) < b; if (b == 0.0) { return 1.0; } - if (round(abs(b) % 2.0) != 1.0) { - return pow(abs(a), b); - } - return sign(a) * pow(abs(a), b); + var resultTemp = select(sign(a) * pow(abs(a), b), pow(abs(a), b), + round(abs(b) % 2.0) != 1.0); `; -var Ote = ` +var Yse = ` let isModRound1Bool = vec4(round(abs(b) % vec4(2.0))) == vec4(1); let isModRound1 = vec4(isModRound1Bool); let multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -26705,109 +27508,119 @@ var Ote = ` resultTemp.a = 1.0; } let isNaN = (a < vec4(0.0)) & (floor(b) < b); - let valueForNaN = uniforms.NAN; - ${$g} - return resultTemp; `; -var Pte = "if (a < 0.0) { return b * a; } return a;"; -var Mte = ` +var Qse = "if (a < 0.0) { return b * a; } return a;"; +var Zse = ` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); `; -var Lte = "return (a - b) * (a - b);"; -var Bte = "return a - b;"; -function gI(r, e, t10 = "uniforms.NAN") { - let o = e ? $g : V3; - return e ? ` - let valueForNaN = ${t10}; - var resultTemp = vec4(${r}(a, b)); - ` + o + ` - return resultTemp; - ` : o + ` - return ${r}(a, b); - `; -} -function kc(r, e) { +var Jse = "return (a - b) * (a - b);"; +var eae = "return a - b;"; +function Kc(r, e) { + do { + let t10; + switch (r) { + case fe.ATAN2: + t10 = Cse; + break; + case fe.MAX: + t10 = Wse; + break; + case fe.MIN: + t10 = Use; + break; + case fe.MOD: + t10 = e ? Hse : Gse; + break; + case fe.NOT_EQUAL: + t10 = e ? jse : qse; + break; + case fe.POW: + t10 = e ? Yse : Xse; + break; + default: + continue; + } + return ` + let isNaN = false; + let valueForNaN = uniforms.NAN; + { + ${t10} + ${e ? yse : xse} + return resultTemp; + } + `; + } while (false); switch (r) { - case ge.ADD: - return pte; - case ge.ATAN2: - return gI("atan2", e); - case ge.COMPLEX_MULTIPLY_IMAG: - return lte; - case ge.COMPLEX_MULTIPLY_REAL: - return cte; - case ge.DIV: - return mte; - case ge.EQUAL: - return e ? fte : dte; - case ge.GREATER: - return e ? gte : hte; - case ge.GREATER_EQUAL: - return e ? yte : xte; - case ge.INT_DIV: - return e ? Cte : bte; - case ge.LESS: - return e ? wte : Ste; - case ge.LESS_EQUAL: - return e ? vte : Ite; - case ge.LOGICAL_AND: - return e ? Nte : kte; - case ge.LOGICAL_OR: - return e ? _te : Tte; - case ge.MAX: - return gI("max", e); - case ge.MIN: - return gI("min", e); - case ge.MOD: - return e ? Ete : $te; - case ge.MUL: - return Ate; - case ge.NOT_EQUAL: - return e ? Dte : Rte; - case ge.POW: - return e ? Ote : Fte; - case ge.PRELU: - return e ? Mte : Pte; - case ge.SQUARED_DIFFERENCE: - return Lte; - case ge.SUB: - return Bte; + case fe.ADD: + return bse; + case fe.COMPLEX_MULTIPLY_IMAG: + return Sse; + case fe.COMPLEX_MULTIPLY_REAL: + return wse; + case fe.DIV: + return Ise; + case fe.ELU_DER: + return e ? kse : vse; + case fe.EQUAL: + return e ? Tse : Nse; + case fe.GREATER: + return e ? $se : _se; + case fe.GREATER_EQUAL: + return e ? Rse : Ese; + case fe.INT_DIV: + return e ? Ase : Dse; + case fe.LESS: + return e ? Pse : Fse; + case fe.LESS_EQUAL: + return e ? Mse : Ose; + case fe.LOGICAL_AND: + return e ? Bse : Lse; + case fe.LOGICAL_OR: + return e ? Vse : zse; + case fe.MUL: + return Kse; + case fe.PRELU: + return e ? Zse : Qse; + case fe.SQUARED_DIFFERENCE: + return Jse; + case fe.SUB: + return eae; default: throw new Error(`BinaryType ${r} is not implemented!`); } } -var X; +var Q; (function(r) { r[r.ABS = 0] = "ABS", r[r.ACOS = 1] = "ACOS", r[r.ACOSH = 2] = "ACOSH", r[r.ASIN = 3] = "ASIN", r[r.ASINH = 4] = "ASINH", r[r.ATAN = 5] = "ATAN", r[r.ATANH = 6] = "ATANH", r[r.CEIL = 7] = "CEIL", r[r.COS = 8] = "COS", r[r.COSH = 9] = "COSH", r[r.ELU = 10] = "ELU", r[r.ERF = 11] = "ERF", r[r.EXP = 12] = "EXP", r[r.EXPM1 = 13] = "EXPM1", r[r.FLOOR = 14] = "FLOOR", r[r.IS_FINITE = 15] = "IS_FINITE", r[r.IS_INF = 16] = "IS_INF", r[r.IS_NAN = 17] = "IS_NAN", r[r.LINEAR = 18] = "LINEAR", r[r.LOG = 19] = "LOG", r[r.LOG1P = 20] = "LOG1P", r[r.LOGICAL_NOT = 21] = "LOGICAL_NOT", r[r.NEG = 22] = "NEG", r[r.RELU = 23] = "RELU", r[r.RELU6 = 24] = "RELU6", r[r.LEAKYRELU = 25] = "LEAKYRELU", r[r.RECIPROCAL = 26] = "RECIPROCAL", r[r.ROUND = 27] = "ROUND", r[r.RSQRT = 28] = "RSQRT", r[r.SELU = 29] = "SELU", r[r.SIGMOID = 30] = "SIGMOID", r[r.SIGN = 31] = "SIGN", r[r.SIN = 32] = "SIN", r[r.SINH = 33] = "SINH", r[r.SOFTPLUS = 34] = "SOFTPLUS", r[r.SQRT = 35] = "SQRT", r[r.SQUARE = 36] = "SQUARE", r[r.STEP = 37] = "STEP", r[r.TAN = 38] = "TAN", r[r.TANH = 39] = "TANH", r[r.TO_INT = 40] = "TO_INT"; -})(X || (X = {})); -var Vte = "return abs(a);"; -var zte = ` +})(Q || (Q = {})); +var tae = "return abs(a);"; +var rae = ` if (abs(a) > 1.) { return uniforms.NAN; } return acos(a); `; -var Wte = ` +var oae = ` if (a < 1.) { return uniforms.NAN; } return acosh(a); `; -var Ute = ` +var nae = ` if (abs(a) > 1.) { return uniforms.NAN; } return asin(a); `; -var Gte = "return asinh(a);"; -var Hte = ` +var sae = "return asinh(a);"; +var aae = ` if (isnan(a)) { return uniforms.NAN; } return atan(a); `; -var Kte = ` +var iae = ` if (abs(a) > 1.) { return uniforms.NAN; } @@ -26819,15 +27632,15 @@ var Kte = ` } return atanh(a); `; -var qte = "return ceil(a);"; -var jte = "return cos(a);"; -var Xte = ` +var uae = "return ceil(a);"; +var pae = "return cos(a);"; +var cae = ` let e2x = exp(-a); return (e2x + 1.0 / e2x) / 2.0; `; -var Yte = "return exp(a) - 1.0;"; -var Qte = "if (a >= 0.0) { return a; } return (exp(a) - 1.0);"; -var Zte = ` +var lae = "return exp(a) - 1.0;"; +var mae = "if (a >= 0.0) { return a; } return (exp(a) - 1.0);"; +var dae = ` var resFloat = exp(a) - vec4(1.0); if (a.r >= 0.0) { resFloat.r = a.r; @@ -26843,65 +27656,65 @@ var Zte = ` } return resFloat; `; -var Jte = ` +var fae = ` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - let p = ${S.ERF_P}; - let a1 = ${S.ERF_A1}; - let a2 = ${S.ERF_A2}; - let a3 = ${S.ERF_A3}; - let a4 = ${S.ERF_A4}; - let a5 = ${S.ERF_A5}; + let p = ${C.ERF_P}; + let a1 = ${C.ERF_A1}; + let a2 = ${C.ERF_A2}; + let a3 = ${C.ERF_A3}; + let a4 = ${C.ERF_A4}; + let a5 = ${C.ERF_A5}; let sign = sign(a); let absA = abs(a); let t = 1.0 / (1.0 + p * absA); return sign * (1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * exp(-absA * absA)); `; -var ere = "return exp(a);"; -var tre = "return floor(a);"; -var rre = "return f32(!isnan(a) && !isinf(a));"; -var ore = "return f32(isinf(a));"; -var nre = "return f32(isnan(a));"; -var sre = "return a;"; -var are = `if (a < 0.0) { return uniforms.NAN; } +var hae = "return exp(a);"; +var gae = "return floor(a);"; +var xae = "return f32(!isnan(a) && !isinf(a));"; +var yae = "return f32(isinf(a));"; +var bae = "return f32(isnan(a));"; +var Cae = "return a;"; +var wae = `if (a < 0.0) { return uniforms.NAN; } return log(a);`; -var ire = ` +var Sae = ` if (isnan(a)) { return a; } return log(1.0 + a); `; -var ure = "return f32(!(a >= 1.0));"; -var pre = "return -a;"; -var cre = "if (a < 0.0) { return uniforms.alpha * a; } return a;"; -var lre = ` +var Iae = "return f32(!(a >= 1.0));"; +var vae = "return -a;"; +var kae = "if (a < 0.0) { return uniforms.alpha * a; } return a;"; +var Nae = ` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (uniforms.alpha * a)) + ((vec4(1.0) - aLessThanZero) * a); `; -var mre = "return 1.0 / a;"; -var dre = "return select(a, 0.0, a < 0.0);"; -var fre = "return clamp(a, 0.0, 6.0);"; -var hre = "return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));"; -var gre = ` +var Tae = "return 1.0 / a;"; +var _ae = "return select(a, 0.0, a < 0.0);"; +var $ae = "return clamp(a, 0.0, 6.0);"; +var Eae = "return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));"; +var Rae = ` return select(a, vec4(0.0), a < vec4(0.0)); `; -var xre = "return round(a);"; -var yre = "return inverseSqrt(a);"; -var bre = ` +var Dae = "return round(a);"; +var Aae = "return inverseSqrt(a);"; +var Fae = ` if (a >= 0.0) { - return ${S.SELU_SCALE} * a; + return ${C.SELU_SCALE} * a; } else { - return ${S.SELU_SCALEALPHA} * (exp(a) - 1.0); + return ${C.SELU_SCALEALPHA} * (exp(a) - 1.0); } `; -var Cre = "return 1.0 / (1.0 + exp(-1.0 * a));"; -var Sre = "return sign(a);"; -var wre = "return sin(a);"; -var Ire = ` +var Pae = "return 1.0 / (1.0 + exp(-1.0 * a));"; +var Oae = "return sign(a);"; +var Mae = "return sin(a);"; +var Lae = ` let e2x = exp(a); return (e2x - 1.0 / e2x) / 2.0; `; -var vre = ` +var Bae = ` let epsilon = 1.1920928955078125e-7; let threshold = log(epsilon) + 2.0; @@ -26917,144 +27730,130 @@ var vre = ` return log(exp_a + 1.0); } `; -var kre = "return sqrt(a);"; -var Nre = "return a * a;"; -var Tre = ` +var zae = "return sqrt(a);"; +var Vae = "return a * a;"; +var Wae = ` if (isnan(a)) { return a; } return select(uniforms.stepAlpha, 1.0, a > 0.0); `; -var _re = "return tan(a);"; -var $re = ` +var Uae = "return tan(a);"; +var Gae = ` let e2x = exp(-2.0 * abs(a)); return sign(a) * (1.0 - e2x) / (1.0 + e2x); `; -var Ere = "return f32(i32((a)));"; -function ja(r, e) { +var Hae = "return f32(i32((a)));"; +function yi(r, e) { switch (r) { - case X.ABS: - return Vte; - case X.ACOS: - return zte; - case X.ACOSH: - return Wte; - case X.ASIN: - return Ute; - case X.ASINH: - return Gte; - case X.ATAN: - return Hte; - case X.ATANH: - return Kte; - case X.COS: - return jte; - case X.COSH: - return Xte; - case X.CEIL: - return qte; - case X.ELU: - return e ? Zte : Qte; - case X.ERF: - return Jte; - case X.EXP: - return ere; - case X.EXPM1: - return Yte; - case X.FLOOR: - return tre; - case X.IS_FINITE: - return rre; - case X.IS_INF: - return ore; - case X.IS_NAN: - return nre; - case X.LINEAR: - return sre; - case X.LOG: - return are; - case X.LOG1P: - return ire; - case X.LOGICAL_NOT: - return ure; - case X.NEG: - return pre; - case X.LEAKYRELU: - return e ? lre : cre; - case X.RECIPROCAL: - return mre; - case X.RELU: - return e ? gre : dre; - case X.RELU6: - return e ? hre : fre; - case X.ROUND: - return xre; - case X.RSQRT: - return yre; - case X.SELU: - return bre; - case X.SIGMOID: - return Cre; - case X.SIGN: - return Sre; - case X.SIN: - return wre; - case X.SINH: - return Ire; - case X.SOFTPLUS: - return vre; - case X.SQRT: - return kre; - case X.SQUARE: - return Nre; - case X.STEP: - return Tre; - case X.TAN: - return _re; - case X.TANH: - return $re; - case X.TO_INT: - return Ere; + case Q.ABS: + return tae; + case Q.ACOS: + return rae; + case Q.ACOSH: + return oae; + case Q.ASIN: + return nae; + case Q.ASINH: + return sae; + case Q.ATAN: + return aae; + case Q.ATANH: + return iae; + case Q.COS: + return pae; + case Q.COSH: + return cae; + case Q.CEIL: + return uae; + case Q.ELU: + return e ? dae : mae; + case Q.ERF: + return fae; + case Q.EXP: + return hae; + case Q.EXPM1: + return lae; + case Q.FLOOR: + return gae; + case Q.IS_FINITE: + return xae; + case Q.IS_INF: + return yae; + case Q.IS_NAN: + return bae; + case Q.LINEAR: + return Cae; + case Q.LOG: + return wae; + case Q.LOG1P: + return Sae; + case Q.LOGICAL_NOT: + return Iae; + case Q.NEG: + return vae; + case Q.LEAKYRELU: + return e ? Nae : kae; + case Q.RECIPROCAL: + return Tae; + case Q.RELU: + return e ? Rae : _ae; + case Q.RELU6: + return e ? Eae : $ae; + case Q.ROUND: + return Dae; + case Q.RSQRT: + return Aae; + case Q.SELU: + return Fae; + case Q.SIGMOID: + return Pae; + case Q.SIGN: + return Oae; + case Q.SIN: + return Mae; + case Q.SINH: + return Lae; + case Q.SOFTPLUS: + return Bae; + case Q.SQRT: + return zae; + case Q.SQUARE: + return Vae; + case Q.STEP: + return Wae; + case Q.TAN: + return Uae; + case Q.TANH: + return Gae; + case Q.TO_INT: + return Hae; default: throw new Error(`BinaryType ${r} is not implemented!`); } } -var kt = (r) => { - switch (r) { - case 1: - return "f32"; - case 2: - return "vec2"; - case 3: - return "vec3"; - case 4: - return "vec4"; - default: - throw new Error(`${r}-component is not supported.`); - } -}; -function pr(r, e = false, t10 = false, o = 3) { +function dr(r, e = false, t10 = false, o = 3) { if (r === null) return ""; let n = ""; if (r === "linear") - n = ja(X.LINEAR); + n = yi(Q.LINEAR); else if (r === "relu") - n = ja(X.RELU, t10); + n = yi(Q.RELU, t10); else if (r === "elu") - n = ja(X.ELU, t10); + n = yi(Q.ELU, t10); else if (r === "relu6") - n = ja(X.RELU6, t10); + n = yi(Q.RELU6, t10); else if (r === "prelu") - n = kc(ge.PRELU, t10); + n = Kc(fe.PRELU, t10); else if (r === "sigmoid") - n = ja(X.SIGMOID, t10); + n = yi(Q.SIGMOID, t10); else if (r === "leakyrelu") - n = ja(X.LEAKYRELU, t10); + n = yi(Q.LEAKYRELU, t10); else throw new Error(`Activation ${r} has not been implemented for the WebGPU backend.`); - let a = kt(t10 ? 4 : 1), i = ""; + let a = Ae(t10 ? 4 : 1), i = ""; return e ? i = ` fn activation(a : ${a}, coords : vec${o}) -> ${a} { let b = getPreluActivationWeightsByOutputCoords(coords); @@ -27064,21 +27863,21 @@ function pr(r, e = false, t10 = false, o = 3) { ${n} }`, i; } -function Gr(r, e) { +function jr(r, e) { return ` ${r ? "value = value + getBiasByOutputCoords(coords);" : ""} ${e ? "value = activation(value, coords);" : ""} `; } -function xI(r, e, t10 = false, o = false, n = false, s = 1) { +function Pv(r, e, t10 = false, o = false, n = false, s = 1) { y.assert(r && s === 1 || !r, () => `transposeA ${r} is not compatible with component size ${s}`); let a = ` ${r ? "value = getA(batch, col, row);" : "value = getA(batch, row, col);"} `, i = e ? "value = getB(batch, col, row);" : "value = getB(batch, row, col);"; return ` - fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${kt(s)} { - var value = ${kt(s)}(0.0); + fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} { + var value = ${Ae(s)}(0.0); let col = colIn * ${s}; ${t10 && n ? a : ` ${r ? "if(row < uniforms.dimAOuter && col < uniforms.dimInner)" : "if(row < uniforms.aShape[1] && col < uniforms.aShape[2])"} @@ -27089,30 +27888,30 @@ function xI(r, e, t10 = false, o = false, n = false, s = 1) { return value; } - fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${kt(s)} { + fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} { let col = colIn * ${s}; - var value = ${kt(s)}(0.0); + var value = ${Ae(s)}(0.0); ${i} return value; } `; } -function Wl(r, e, t10, o, n = false, s = false, a = false, i = 1) { +function lm(r, e, t10, o, n = false, s = false, a = false, i = 1) { return ` - ${xI(t10, o, n, s, a, i)} - fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${kt(i)}) { + ${Pv(t10, o, n, s, a, i)} + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Ae(i)}) { let col = colIn * ${i}; ${n && s ? "" : "if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)"} { var value = valueIn; let coords = vec3(batch, row, col); - ${Gr(r, e)} + ${jr(r, e)} setOutputAtCoords(coords[0], coords[1], coords[2], value); } } `; } -var Are = (r, e) => r ? ` +var Kae = (r, e) => r ? ` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart / ${e} + inputCol); @@ -27121,61 +27920,61 @@ var Are = (r, e) => r ? ` globalRow + innerRow, kStart / ${e} + inputCol); `; -var Rre = (r, e, t10) => r ? ` +var qae = (r, e, t10) => r ? ` let ACached0 = mm_Asub[k * ${e}][localRow]; let ACached1 = mm_Asub[k * ${e} + 1][localRow]; let ACached2 = mm_Asub[k * ${e} + 2][localRow]; ${e === 3 ? "" : `let ACached3 = mm_Asub[k * ${e} + 3][localRow];`} for (var i = 0; i < ${t10}; i++) { - acc[i] = BCached0 * ACached0[i] + acc[i]; - acc[i] = BCached1 * ACached1[i] + acc[i]; - acc[i] = BCached2 * ACached2[i] + acc[i]; - ${e === 3 ? "" : "acc[i] = BCached3 * ACached3[i] + acc[i];"} + acc[i] = fma(BCached0, vec4(ACached0[i]), acc[i]); + acc[i] = fma(BCached1, vec4(ACached1[i]), acc[i]); + acc[i] = fma(BCached2, vec4(ACached2[i]), acc[i]); + ${e === 3 ? "" : "acc[i] = fma(BCached3, vec4(ACached3[i]), acc[i]);"} }` : ` for (var i = 0; i < ${t10}; i++) { let ACached = mm_Asub[tileRow + i][k]; - acc[i] = BCached0 * ACached.x + acc[i]; - acc[i] = BCached1 * ACached.y + acc[i]; - acc[i] = BCached2 * ACached.z + acc[i]; - ${e === 3 ? "" : "acc[i] = BCached3 * ACached.w + acc[i];"} + acc[i] = fma(BCached0, vec4(ACached.x), acc[i]); + acc[i] = fma(BCached1, vec4(ACached.y), acc[i]); + acc[i] = fma(BCached2, vec4(ACached.z), acc[i]); + ${e === 3 ? "" : "acc[i] = fma(BCached3, vec4(ACached.w), acc[i]);"} }`; -function qu(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) { - let p = e[1] * r[1], u = e[0] * r[0], c = t10 ? p : o, l = t10 ? o : p, m = c / e[0], d = o / e[1], f = r[1]; - return y.assert((t10 && m === 4 && r[1] === 4 || !t10 && (m === 3 || m === 4)) && c % e[0] === 0 && o % e[1] === 0 && r[0] === 4, () => `If transposeA ${t10} is true, innerElementSize ${m} and workPerThread[1] ${r[1]} must be 4. - Otherwise, innerElementSize ${m} must be 3 or 4. - tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`), ` - var mm_Asub : array, ${c / m}>, ${l}>; - var mm_Bsub : array, ${u / r[0]}>, ${o}>; +function Tp(r, e, t10 = false, o = 32, n = false, s = 32, a = false) { + let i = e[1] * r[1], p = e[0] * r[0], u = t10 ? i : o, c = t10 ? o : i, l = u / e[0], m = o / e[1], d = r[1]; + return y.assert((t10 && l === 4 && r[1] === 4 || !t10 && (l === 3 || l === 4)) && u % e[0] === 0 && o % e[1] === 0 && r[0] === 4, () => `If transposeA ${t10} is true, innerElementSize ${l} and workPerThread[1] ${r[1]} must be 4. + Otherwise, innerElementSize ${l} must be 3 or 4. + tileAWidth ${u} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`), ` + var mm_Asub : array, ${u / l}>, ${c}>; + var mm_Bsub : array, ${p / r[0]}>, ${o}>; - ${Q()} { + ${K()} { let localRow = i32(localId.y); - let tileRow = ${a ? "0" : `localRow * ${f}`}; + let tileRow = localRow * ${d}; let tileCol = i32(localId.x); - let globalRow = ${a ? "0" : `i32(globalId.y) * ${f}`}; + let globalRow = i32(globalId.y) * ${d}; let globalCol = i32(globalId.x); let batch = ${n ? "0" : "i32(globalId.z)"}; - let batchA = ${n || !i ? "batch" : "batch % uniforms.aShape[0]"}; - let batchB = ${n || !i ? "batch" : "batch % uniforms.bShape[0]"}; - let globalRowStart = i32(workgroupId.y) * ${p}; + let batchA = ${n || !a ? "batch" : "batch % uniforms.aShape[0]"}; + let batchB = ${n || !a ? "batch" : "batch % uniforms.bShape[0]"}; + let globalRowStart = i32(workgroupId.y) * ${i}; let numTiles = ${n ? `${Math.ceil(s / o)}` : `(uniforms.dimInner - 1) / ${o} + 1`}; var kStart = ${n ? `i32(globalId.z) * ${s}` : "0"}; - var acc: array, ${f}>; + var acc: array, ${d}>; // Loop over shared dimension. - let tileRowB = localRow * ${d}; + let tileRowB = localRow * ${m}; for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${d}; innerRow++) { let inputRow = tileRow + innerRow; let inputCol = tileCol; - ${Are(t10, m)} + ${Kae(t10, l)} } // Load one tile of B into local memory. - for (var innerRow = 0; innerRow < ${d}; innerRow++) { + for (var innerRow = 0; innerRow < ${m}; innerRow++) { let inputRow = tileRowB + innerRow; let inputCol = tileCol; mm_Bsub[inputRow][inputCol] = mm_readB(batchB, kStart + inputRow, globalCol); @@ -27184,24 +27983,24 @@ function qu(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) workgroupBarrier(); // Compute acc values for a single thread. - for (var k = 0; k < ${o / m}; k++) { - let BCached0 = mm_Bsub[k * ${m}][tileCol]; - let BCached1 = mm_Bsub[k * ${m} + 1][tileCol]; - let BCached2 = mm_Bsub[k * ${m} + 2][tileCol]; - ${m === 3 ? "" : `let BCached3 = mm_Bsub[k * ${m} + 3][tileCol];`} + for (var k = 0; k < ${o / l}; k++) { + let BCached0 = mm_Bsub[k * ${l}][tileCol]; + let BCached1 = mm_Bsub[k * ${l} + 1][tileCol]; + let BCached2 = mm_Bsub[k * ${l} + 2][tileCol]; + ${l === 3 ? "" : `let BCached3 = mm_Bsub[k * ${l} + 3][tileCol];`} - ${Rre(t10, m, f)} + ${qae(t10, l, d)} } workgroupBarrier(); } - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${d}; innerRow++) { mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); } }`; } -var z3 = (r) => r ? ` +var CB = (r) => r ? ` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart + inputCol); @@ -27210,8 +28009,8 @@ var z3 = (r) => r ? ` globalRowStart + inputRow, kStart + inputCol); `; -var Dre = (r) => r ? "let ACached = mm_Asub[k][tileRow + innerRow];" : "let ACached = mm_Asub[tileRow + innerRow][k];"; -function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) { +var jae = (r) => r ? "let ACached = mm_Asub[k][tileRow + innerRow];" : "let ACached = mm_Asub[tileRow + innerRow][k];"; +function _p(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) { let p = r[1] * e[1], u = r[0] * e[0], c = t10 ? p : o, l = t10 ? o : p; y.assert(l % e[1] === 0 && c % e[0] === 0 && o % e[1] === 0, () => `tileAHight ${l} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}, tileInner ${o} must be divisible by workgroupSize[1]${e[1]}`); let m = l / e[1], d = c / e[0], f = o / e[1], h = r[1], g = r[0], x = a ? ` @@ -27225,7 +28024,7 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) // Load one tile of A into local memory. for (var inputRow = localRow; inputRow < ${l}; inputRow = inputRow + ${e[1]}) { for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) { - ${z3(t10)} + ${CB(t10)} } } // Load one tile of B into local memory. @@ -27248,8 +28047,8 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) for (var innerRow = 0; innerRow < ${h}; innerRow++) { let ACached = ${t10 ? `mm_Asub[k][localRow + innerRow * ${e[1]}];` : `mm_Asub[localRow + innerRow * ${e[1]}][k];`} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + - ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -27280,7 +28079,7 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) for (var innerCol = 0; innerCol < ${d}; innerCol++) { let inputRow = tileRowA + innerRow; let inputCol = tileColA + innerCol; - ${z3(t10)} + ${CB(t10)} } } @@ -27305,9 +28104,10 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) } for (var innerRow = 0; innerRow < ${h}; innerRow++) { - ${Dre(t10)} + ${jae(t10)} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -27326,7 +28126,7 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) var mm_Asub : array, ${l}>; var mm_Bsub : array, ${o}>; - ${Q()} { + ${K()} { let batch = ${n ? "0" : "i32(globalId.z)"}; let batchA = ${n || !i ? "batch" : "batch % uniforms.aShape[0]"}; let batchB = ${n || !i ? "batch" : "batch % uniforms.bShape[0]"}; @@ -27345,7 +28145,7 @@ function ju(r, e, t10 = false, o = 32, n = false, s = 32, a = false, i = false) } `; } -var Fre = (r) => r ? ` +var Xae = (r) => r ? ` mm_readA(batchA, colA, globalRow), mm_readA(batchA, colA + 1, globalRow), mm_readA(batchA, colA + 2, globalRow), @@ -27356,13 +28156,13 @@ var Fre = (r) => r ? ` mm_readA(batchA, globalRow, colA + 2), mm_readA(batchA, globalRow, colA + 3) `; -function Ore(r, e = false) { +function Yae(r, e = false) { y.assert(r[1] === 1 && r[2] === 1, () => `A linear work group size is required. But got ${r}.`); let t10 = r[0] * 4; return ` var mm_Asub : array, ${r[0]}>; - ${Q()} { + ${K()} { let tileCol = i32(localId.x); let globalCol = i32(globalId.x); let globalRow = i32(globalId.y); @@ -27378,7 +28178,7 @@ function Ore(r, e = false) { for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. let colA = t * ${t10} + tileCol * 4; - mm_Asub[tileCol] = vec4(${Fre(e)}); + mm_Asub[tileCol] = vec4(${Xae(e)}); workgroupBarrier(); // Compute acc values for a single thread. @@ -27400,17 +28200,17 @@ function Ore(r, e = false) { } `; } -var Eg = class { +var Kg = class { constructor(e, t10, o = false, n = false, s = null, a = null, i = null, p = false) { this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.outputShape = t10, this.dispatchLayout = { x: [2], y: [1], z: [0] }; let u = o ? e[1] : e[2]; - if (this.isVec4 = (u % 4 === 0 && !o || t10[1] % 4 === 0 && o) && t10[2] % 4 === 0 && !n, this.isVectorA = t10[1] === 1 && !o, !this.isVec4 && this.isVectorA) + if (this.isVec4 = (u % 4 === 0 && !o || t10[1] % 4 === 0 && o) && t10[2] % 4 === 0 && !n, this.outputComponent = this.isVec4 ? 4 : 1, this.isVectorA = t10[1] === 1 && !o, !this.isVec4 && this.isVectorA) this.elementsPerThread = [1, 1, 1], this.workgroupSize = [32, 1, 1]; else { - let m = dI(t10[1], u, t10[2], o); + let m = Av(t10[1], u, t10[2], o); this.workgroupSize = m.workgroupSize, this.elementsPerThread = m.elementsPerThread; } - this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread); + this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread); let c = s != null, l = i != null; c && this.variableNames.push("bias"), l && this.variableNames.push("preluActivationWeights"), this.sequentialAccessByThreads = p, this.transposeA = o, this.transposeB = n, this.addBias = c, this.activation = a, this.hasPreluActivationWeights = l, [this.fitAOuter, this.fitBOuter, this.fitInner] = this.getShapeFit(t10[1], t10[2], u), this.shaderKey = `matMulPacked_${this.elementsPerThread}_${o}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`; } @@ -27422,16 +28222,16 @@ var Eg = class { } getUserCode() { return ` - ${pr(this.activation, this.hasPreluActivationWeights, this.isVec4)} - ${Wl(this.addBias, this.activation, false, this.transposeB, this.fitAOuter, this.fitBOuter, this.fitInner, this.isVec4 ? 4 : 1)} - ${this.isVec4 ? qu(this.elementsPerThread, this.workgroupSize, this.transposeA, this.tileInner, false, null, this.isVectorA, true) : this.isVectorA ? Ore(this.workgroupSize, this.transposeA) : ju(this.elementsPerThread, this.workgroupSize, this.transposeA, this.tileInner, false, null, this.sequentialAccessByThreads, true)} + ${dr(this.activation, this.hasPreluActivationWeights, this.isVec4)} + ${lm(this.addBias, this.activation, false, this.transposeB, this.fitAOuter, this.fitBOuter, this.fitInner, this.isVec4 ? 4 : 1)} + ${this.isVec4 ? Tp(this.elementsPerThread, this.workgroupSize, this.transposeA, this.tileInner, false, null, true) : this.isVectorA ? Yae(this.workgroupSize, this.transposeA) : _p(this.elementsPerThread, this.workgroupSize, this.transposeA, this.tileInner, false, null, this.sequentialAccessByThreads, true)} `; } }; -function Pre(r) { +function Qae(r) { return ` var sumValues : array; - ${Q()} { + ${K()} { let coords = getOutputCoords(); let batch = coords[0]; let batchA = batch % uniforms.aShape[0]; @@ -27464,21 +28264,21 @@ function Pre(r) { } `; } -var Ag = class { +var qg = class { constructor(e, t10 = false, o = false, n = null, s = null, a = null) { - this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.workgroupSize = [256, 1, 1], this.outputShape = e, this.dispatchLayout = { x: [], y: [1, 2], z: [0] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize); + this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.workgroupSize = [256, 1, 1], this.outputShape = e, this.dispatchLayout = { x: [], y: [1, 2], z: [0] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize); let i = n != null, p = a != null; i && this.variableNames.push("bias"), p && this.variableNames.push("preluActivationWeights"), this.transposeA = t10, this.transposeB = o, this.addBias = i, this.activation = s, this.hasPreluActivationWeights = p, this.shaderKey = `matMulReduce_${this.activation}_${t10}_${o}`; } getUserCode() { return ` - ${pr(this.activation, this.hasPreluActivationWeights)} - ${Wl(this.addBias, this.activation, this.transposeA, this.transposeB)} - ${Pre(this.workgroupSize[0])} + ${dr(this.activation, this.hasPreluActivationWeights)} + ${lm(this.addBias, this.activation, this.transposeA, this.transposeB)} + ${Qae(this.workgroupSize[0])} `; } }; -function Mre(r) { +function Zae(r) { let e = r[1], t10 = r[0], o = e > t10 ? e : t10; return ` var mm_Asub : array, ${e}>; @@ -27490,7 +28290,7 @@ function Mre(r) { // shared memory, so it is instruction-Level parallelism for arithmetic // operations and others handle IO operations between barrier api, makes ALU // and load/store units work simultaneously, could improves the performance. - ${Q()} { + ${K()} { let tileRow = i32(localId.y); let tileCol = i32(localId.x); let globalRow = i32(globalId.y); @@ -27534,7 +28334,7 @@ function Mre(r) { } `; } -var Rg = class { +var jg = class { constructor(e, t10, o, n = false, s = false, a = null, i = null, p = null) { this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.workgroupSize = [16, 8, 1], this.outputShape = o, this.dispatchLayout = { x: [2], y: [1], z: [0] }, this.dispatch = [Math.ceil(o[2] / this.workgroupSize[0]), Math.ceil(o[1] / this.workgroupSize[1]), o[0]]; let u = a != null; @@ -27544,21 +28344,23 @@ var Rg = class { } getUserCode() { return ` - ${pr(this.activation, this.hasPreluActivationWeights)} - ${Wl(this.addBias, this.activation, this.transposeA, this.transposeB)} - ${Mre(this.workgroupSize)} + ${dr(this.activation, this.hasPreluActivationWeights)} + ${lm(this.addBias, this.activation, this.transposeA, this.transposeB)} + ${Zae(this.workgroupSize)} `; } }; -var Dg = class { +var Xg = class { constructor(e, t10, o = false, n = false) { - this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.workgroupSize = [8, 8, 1], this.atomic = true, this.isVec4 = false, this.splitedDimInner = 128, y.assert(e[0] === 1, () => "MatMulSplitKProgram only supports batch = 1."), this.outputShape = e, this.dispatchLayout = { x: [2], y: [1], z: [0, 3] }, this.isVec4 = (o && this.outputShape[1] % 4 === 0 || !o && t10 % 4 === 0) && this.outputShape[2] % 4 === 0, this.elementsPerThread = [4, 4, this.splitedDimInner], this.isVec4 || (this.outputShape[1] < 16 && (this.elementsPerThread[1] = 1), this.outputShape[2] < 16 && (this.elementsPerThread[0] = 1)), this.dispatch = Y(this.dispatchLayout, [this.outputShape[0], this.outputShape[1], this.outputShape[2], t10], this.workgroupSize, this.elementsPerThread), this.transposeA = o, this.transposeB = n, this.shaderKey = `matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.isVec4}`; + this.variableNames = ["A", "B"], this.uniforms = "dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.workgroupSize = [8, 8, 1], this.atomic = true, this.splitedDimInner = 128, y.assert(e[0] === 1, () => "MatMulSplitKProgram only supports batch = 1."), this.outputShape = e, this.dispatchLayout = { x: [2], y: [1], z: [0, 3] }; + let s = (o && this.outputShape[1] % 4 === 0 || !o && t10 % 4 === 0) && this.outputShape[2] % 4 === 0; + this.elementsPerThread = [4, 4, this.splitedDimInner], this.outputComponent = s ? 4 : 1, s || (this.outputShape[1] < 16 && (this.elementsPerThread[1] = 1), this.outputShape[2] < 16 && (this.elementsPerThread[0] = 1)), this.dispatch = q(this.dispatchLayout, [this.outputShape[0], this.outputShape[1], this.outputShape[2], t10], this.workgroupSize, this.elementsPerThread), this.transposeA = o, this.transposeB = n, this.shaderKey = `matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.outputComponent}`; } getUserCode() { - let e = this.isVec4 ? 4 : 1; + let e = this.outputComponent; return ` - ${xI(false, this.transposeB, false, false, false, e)} - fn mm_write(batch: i32, row : i32, colIn : i32, value : ${kt(e)}) { + ${Pv(false, this.transposeB, false, false, false, e)} + fn mm_write(batch: i32, row : i32, colIn : i32, value : ${Ae(e)}) { let col = colIn * ${e}; if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) { let coords = vec3(batch, row, col); @@ -27566,39 +28368,39 @@ var Dg = class { // The problem is that we should initialize output to zero before using. // Otherwise, the original value will be added to the result. for (var i = 0; i < ${e}; i = i + 1) { - ${Ic("&result[flatIndex + i]", `${e > 1 ? "value[i]" : "value"}`, "float32")} + ${Bs("&result[flatIndex + i]", `${e > 1 ? "value[i]" : "value"}`, "float32")} } } } - ${this.isVec4 ? qu(this.elementsPerThread, this.workgroupSize, this.transposeA, 32, true, this.splitedDimInner) : ju(this.elementsPerThread, this.workgroupSize, this.transposeA, 32, true, this.splitedDimInner)} + ${e === 4 ? Tp(this.elementsPerThread, this.workgroupSize, this.transposeA, 32, true, this.splitedDimInner) : _p(this.elementsPerThread, this.workgroupSize, this.transposeA, 32, true, this.splitedDimInner)} `; } }; -var Fg = class { +var Yg = class { constructor(e, t10 = null, o = null, n = null) { - this.uniforms = "", this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.addBias = t10 != null, this.hasPreluActivationWeights = n != null, this.activation = o, this.addBias && this.variableNames.push("bias"), this.hasPreluActivationWeights && this.variableNames.push("preluActivationWeights"), this.shaderKey = `biasActivation_${o}`; + this.uniforms = "", this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.addBias = t10 != null, this.hasPreluActivationWeights = n != null, this.activation = o, this.addBias && this.variableNames.push("bias"), this.hasPreluActivationWeights && this.variableNames.push("preluActivationWeights"), this.shaderKey = `biasActivation_${o}`; } getUserCode() { return ` - ${pr(this.activation, this.hasPreluActivationWeights)} - ${Q("index")} { + ${dr(this.activation, this.hasPreluActivationWeights)} + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var value = getXByOutputIndex(index); - ${Gr(this.addBias, this.activation)} + ${jr(this.addBias, this.activation)} setOutputAtIndex(index, value); } } `; } }; -var Og = class { +var Qg = class { constructor(e) { - this.variableNames = [], this.outputShape = [], this.uniforms = "value : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "fill"; + this.variableNames = [], this.outputShape = [], this.uniforms = "value : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "fill"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.value); } @@ -27606,83 +28408,83 @@ var Og = class { `; } }; -function fr(r) { +function Vt(r) { let { backend: e, attrs: t10 } = r, { shape: o, value: n } = t10, { dtype: s } = t10; if (s = s || y.inferDtype(n), s === "string") { let a = y.getArrayFromDType(s, y.sizeFromShape(o)); return a.fill(n), e.makeTensorInfo(o, s, a); } else { - let a = new Og(o), i = [{ type: "float32", data: [n] }]; + let a = new Qg(o), i = [{ type: "float32", data: [n] }]; return e.runWebGPUProgram(a, [], s, i); } } -var W3 = { kernelName: ws, backendName: "webgpu", kernelFunc: fr }; -function me(r) { +var wB = { kernelName: ea, backendName: "webgpu", kernelFunc: Vt }; +function pe(r) { let { inputs: e, attrs: t10 } = r, { x: o } = e, { shape: n } = t10, s = y.sizeFromShape(o.shape), a = y.inferFromImplicitShape(n, s), i = y.sizeFromShape(a); return y.assert(s === i, () => `The new shape (${a}) has ${i} elements and the old shape (${o.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`), r.backend.incRef(o.dataId), { dataId: o.dataId, shape: a, dtype: o.dtype }; } -var U3 = { kernelName: _s, backendName: "webgpu", kernelFunc: me }; -function Xu({ a: r, b: e, transposeA: t10, transposeB: o, backend: n, bias: s = null, preluActivationWeights: a = null, leakyreluAlpha: i = 0, activation: p = null }) { - let u = r.shape.length, c = e.shape.length, l = t10 ? r.shape[u - 2] : r.shape[u - 1], m = o ? e.shape[c - 1] : e.shape[c - 2], d = t10 ? r.shape[u - 1] : r.shape[u - 2], f = o ? e.shape[c - 2] : e.shape[c - 1], h = r.shape.slice(0, -2), g = e.shape.slice(0, -2), x = y.sizeFromShape(h), b = y.sizeFromShape(g), w = yr.assertAndGetBroadcastShape(r.shape.slice(0, -2), e.shape.slice(0, -2)).concat([d, f]); +var SB = { kernelName: ia, backendName: "webgpu", kernelFunc: pe }; +function $p({ a: r, b: e, transposeA: t10, transposeB: o, backend: n, bias: s = null, preluActivationWeights: a = null, leakyreluAlpha: i = 0, activation: p = null }) { + let u = r.shape.length, c = e.shape.length, l = t10 ? r.shape[u - 2] : r.shape[u - 1], m = o ? e.shape[c - 1] : e.shape[c - 2], d = t10 ? r.shape[u - 1] : r.shape[u - 2], f = o ? e.shape[c - 2] : e.shape[c - 1], h = r.shape.slice(0, -2), g = e.shape.slice(0, -2), x = y.sizeFromShape(h), b = y.sizeFromShape(g), S = Sr.assertAndGetBroadcastShape(r.shape.slice(0, -2), e.shape.slice(0, -2)).concat([d, f]); y.assert(l === m, () => `Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t10} and transposeB=${o} must match.`); - let k = t10 ? [x, l, d] : [x, d, l], _ = o ? [b, f, m] : [b, m, f], E = me({ inputs: { x: r }, backend: n, attrs: { shape: k } }), A = me({ inputs: { x: e }, backend: n, attrs: { shape: _ } }), R = [E, A], D = Math.max(x, b), P = [E, A], M = [{ type: "int32", data: [d] }, { type: "int32", data: [f] }, { type: "int32", data: [l] }], L, V, z = [D, d, f], U = O().get("WEBGPU_MATMUL_PROGRAM_TYPE"); + let k = t10 ? [x, l, d] : [x, d, l], _ = o ? [b, f, m] : [b, m, f], E = pe({ inputs: { x: r }, backend: n, attrs: { shape: k } }), R = pe({ inputs: { x: e }, backend: n, attrs: { shape: _ } }), D = [E, R], F = Math.max(x, b), O = [E, R], M = [{ type: "int32", data: [d] }, { type: "int32", data: [f] }, { type: "int32", data: [l] }], L, B, z = [F, d, f], U = P().get("WEBGPU_MATMUL_PROGRAM_TYPE"); if (U < 0) { - let H = O().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"), q = H > 0 ? H : n.thresholdToIncreaseWorkgroups, Z = D * Math.ceil(d / 32) * Math.ceil(f / 32); - Z <= q || d <= 8 && Z <= q * 2 ? D * d * f <= 128 ? U = Ro.MatMulReduceProgram : D === 1 && m >= 2e3 ? U = Ro.MatMulSplitKProgram : U = Ro.MatMulSmallOutputSizeProgram : U = Ro.MatMulPackedProgram; + let H = P().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"), X = H > 0 ? H : n.thresholdToIncreaseWorkgroups, J = F * Math.ceil(d / 32) * Math.ceil(f / 32); + J <= X || d <= 8 && J <= X * 2 ? F * d * f <= 128 ? U = Oo.MatMulReduceProgram : F === 1 && m >= 2e3 ? U = Oo.MatMulSplitKProgram : U = Oo.MatMulSmallOutputSizeProgram : U = Oo.MatMulPackedProgram; } switch (U) { - case Ro.MatMulReduceProgram: - L = new Ag(z, t10, o, s, p, a); + case Oo.MatMulReduceProgram: + L = new qg(z, t10, o, s, p, a); break; - case Ro.MatMulSplitKProgram: { - if (V = fr({ backend: n, attrs: { shape: z, value: 0, dtype: r.dtype } }), L = new Dg(z, m, t10, o), s || p) { - V = n.runWebGPUProgram(L, P, r.dtype, M, V); - let q = new Fg(V.shape, s, p, a), Z = null, ee = [V]; - s && ee.push(s), a && ee.push(a), p === "leakyrelu" && (Z = [{ type: "float32", data: [i] }], q.uniforms += " alpha : f32,"); - let oe = n.runWebGPUProgram(q, ee, V.dtype, Z); - R.push(V); - let J = me({ inputs: { x: oe }, backend: n, attrs: { shape: w } }); - R.push(oe); - for (let te of R) - n.disposeData(te.dataId); - return J; + case Oo.MatMulSplitKProgram: { + if (B = Vt({ backend: n, attrs: { shape: z, value: 0, dtype: r.dtype } }), L = new Xg(z, m, t10, o), s || p) { + B = n.runWebGPUProgram(L, O, r.dtype, M, B); + let X = new Yg(B.shape, s, p, a), J = null, re = [B]; + s && re.push(s), a && re.push(a), p === "leakyrelu" && (J = [{ type: "float32", data: [i] }], X.uniforms += " alpha : f32,"); + let ne = n.runWebGPUProgram(X, re, B.dtype, J); + D.push(B); + let ee = pe({ inputs: { x: ne }, backend: n, attrs: { shape: S } }); + D.push(ne); + for (let oe of D) + n.disposeData(oe.dataId); + return ee; } break; } - case Ro.MatMulSmallOutputSizeProgram: - L = new Rg(k, _, z, t10, o, s, p, a); + case Oo.MatMulSmallOutputSizeProgram: + L = new jg(k, _, z, t10, o, s, p, a); break; - case Ro.MatMulPackedProgram: + case Oo.MatMulPackedProgram: let H = n.adapterInfo.isIntel(); - L = new Eg(k, z, t10, o, s, p, a, H); + L = new Kg(k, z, t10, o, s, p, a, H); break; default: throw new Error(`Unsupported MatMulProgramType ${U}.`); } - s && P.push(s), a && P.push(a), p === "leakyrelu" && (M.push({ type: "float32", data: [i] }), L.uniforms += " alpha : f32,"), V = n.runWebGPUProgram(L, P, r.dtype, M, V); - let K = me({ inputs: { x: V }, backend: n, attrs: { shape: w } }); - R.push(V); - for (let H of R) + s && O.push(s), a && O.push(a), p === "leakyrelu" && (M.push({ type: "float32", data: [i] }), L.uniforms += " alpha : f32,"), B = n.runWebGPUProgram(L, O, r.dtype, M, B); + let j = pe({ inputs: { x: B }, backend: n, attrs: { shape: S } }); + D.push(B); + for (let H of D) n.disposeData(H.dataId); - return K; + return j; } -function Lre(r) { +function Jae(r) { let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s, bias: a, preluActivationWeights: i } = e, { transposeA: p, transposeB: u, activation: c, leakyreluAlpha: l } = o; - return Xu({ a: n, b: s, transposeA: p, transposeB: u, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: l, activation: c }); + return $p({ a: n, b: s, transposeA: p, transposeB: u, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: l, activation: c }); } -var G3 = { kernelName: ho, backendName: "webgpu", kernelFunc: Lre }; -var Ul = class { +var IB = { kernelName: bo, backendName: "webgpu", kernelFunc: Jae }; +var mm = class { constructor(e, t10, o) { - this.variableNames = ["AReal", "AImag", "BReal", "BImag"], this.workgroupSize = [128, 1, 1], this.size = true, this.outputShape = S.assertAndGetBroadcastShape(t10, o), this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `binaryOpComplex_${e}`, this.op = e; + this.variableNames = ["AReal", "AImag", "BReal", "BImag"], this.workgroupSize = [128, 1, 1], this.size = true, this.outputShape = C.assertAndGetBroadcastShape(t10, o), this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `binaryOpComplex_${e}`, this.op = e; } getUserCode() { return ` fn binaryOpComplex( areal : f32, aimag : f32, breal : f32, bimag : f32) -> f32 { - ${kc(this.op, false)} + ${Kc(this.op, false)} } - ${Q("index")} { + ${K("index")} { if(index < uniforms.size) { let areal = getARealByOutputIndex(index); let aimag = getAImagByOutputIndex(index); @@ -27694,17 +28496,20 @@ var Ul = class { `; } }; -var Yu = class { +var bi = class { constructor(e, t10, o) { - this.size = true, this.variableNames = ["A", "B"], this.outputShape = S.assertAndGetBroadcastShape(t10, o), this.dispatchLayout = ae(this.outputShape), this.op = e, this.useSharedMemoryWithA = t10.length <= 1 && o.length > 1 && t10[0] < 128, this.useSharedMemoryWithB = o.length <= 1 && t10.length > 1 && o[0] < 128, this.useSharedMemoryWithA || this.useSharedMemoryWithB ? (this.isVec4 = false, this.lastDimensionSize = this.useSharedMemoryWithB ? o[0] : t10[0], this.shaderKey = `binary_${this.type}_${e}_${this.lastDimensionSize}_${this.useSharedMemoryWithB}`, this.type = "shared", this.workgroupSize = [256, 1, 1], this.workPerThread = 1) : (y.arraysEqual(t10, o) && y.sizeFromShape(t10) % 4 === 0 ? (this.isVec4 = true, this.type = "vec4", this.workPerThread = 4) : (this.isVec4 = false, this.type = "plain", this.workPerThread = 1), this.shaderKey = `binary_${this.type}_${e}`, this.workgroupSize = [128, 1, 1]), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]); + if (this.size = true, this.variableNames = ["A", "B"], this.outputShape = C.assertAndGetBroadcastShape(t10, o), this.dispatchLayout = Z(this.outputShape), this.op = e, this.useSharedMemoryWithA = t10.length <= 1 && o.length > 1 && t10[0] < 128, this.useSharedMemoryWithB = o.length <= 1 && t10.length > 1 && o[0] < 128, this.useSharedMemoryWithA || this.useSharedMemoryWithB) + this.outputComponent = 1, this.variableComponents = [1, 1], this.lastDimensionSize = this.useSharedMemoryWithB ? o[0] : t10[0], this.shaderKey = `binary_${e}_${this.lastDimensionSize}`, this.type = "shared", this.workgroupSize = [256, 1, 1]; + else { + let n = t10.length > 0 && t10[t10.length - 1] % 4 === 0, s = o.length > 0 && o[o.length - 1] % 4 === 0; + n && s ? (this.outputComponent = 4, this.variableComponents = [4, 4]) : n && (y.isScalarShape(o) || o[o.length - 1] === 1) || s && (y.isScalarShape(t10) || t10[t10.length - 1] === 1) ? (this.outputComponent = 4, this.variableComponents = n ? [4, 1] : [1, 4]) : (this.outputComponent = 1, this.variableComponents = [1, 1]), this.type = "nonshared", this.shaderKey = `binary_${e}_${this.variableComponents}`, this.workgroupSize = [128, 1, 1]; + } + this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.outputComponent, 1, 1]); } getUserCode() { - let e, t10 = this.isVec4 ? "vec4" : "f32", o = ` + let e, t10 = this.outputComponent === 4 ? "vec4" : "f32", o = ` fn binaryOperation(a : ${t10}, b : ${t10}) -> ${t10} { - let isNaN = false; - { - ${kc(this.op, this.isVec4)} - } + ${Kc(this.op, this.outputComponent === 4)} }; `; if (this.type === "shared") { @@ -27714,7 +28519,7 @@ var Yu = class { e = ` ${o} var sharedBuf : array; - ${Q("index")} { + ${K("index")} { // Fill in the shared memory buffer. let localIndex = i32(localId.x); if(localIndex < ${this.lastDimensionSize}) { @@ -27732,10 +28537,11 @@ var Yu = class { } else e = ` ${o} - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { - let a = getAByOutputIndex(index); - let b = getBByOutputIndex(index); + let coords = getCoordsFromIndex(index * ${this.outputComponent}); + let a = ${t10}(getAByOutputCoords(coords)); + let b = ${t10}(getBByOutputCoords(coords)); setOutputAtIndex(index, binaryOperation(a, b)); } } @@ -27743,28 +28549,28 @@ var Yu = class { return e; } }; -function Dt(r) { +function At(r) { let { inputs: e } = r, { x: t10 } = e; return r.backend.incRef(t10.dataId), { dataId: t10.dataId, shape: t10.shape, dtype: t10.dtype }; } -var H3 = { kernelName: mo, backendName: "webgpu", kernelFunc: Dt }; -function po(r) { - let { inputs: e, backend: t10 } = r, { real: o, imag: n } = e, s = t10.makeTensorInfo(o.shape, "complex64"), a = t10.tensorMap.get(s.dataId), i = Dt({ inputs: { x: o }, backend: t10 }), p = Dt({ inputs: { x: n }, backend: t10 }); +var vB = { kernelName: xo, backendName: "webgpu", kernelFunc: At }; +function fo(r) { + let { inputs: e, backend: t10 } = r, { real: o, imag: n } = e, s = t10.makeTensorInfo(o.shape, "complex64"), a = t10.tensorMap.get(s.dataId), i = At({ inputs: { x: o }, backend: t10 }), p = At({ inputs: { x: n }, backend: t10 }); return a.complexTensorInfos = { real: i, imag: p }, s; } -var K3 = { kernelName: ri, backendName: "webgpu", kernelFunc: po }; -var Hr = class { +var kB = { kernelName: Ti, backendName: "webgpu", kernelFunc: fo }; +var Xr = class { constructor(e, t10, o = "") { this.variableNames = ["A"], this.size = true; let n = 128; - this.workgroupSize = [n, 1, 1], this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.op = t10, o !== "" && (this.uniforms = o), this.shaderKey = `unary_${t10}`; + this.workgroupSize = [n, 1, 1], this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.op = t10, o !== "" && (this.uniforms = o), this.shaderKey = `unary_${t10}`; } getUserCode() { return ` fn unaryOperation(a : f32) -> f32 { - ${ja(this.op, false)} + ${yi(this.op, false)} } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let a = getAByOutputIndex(index); setOutputAtIndex(index, unaryOperation(a)); @@ -27780,48 +28586,48 @@ function xe({ opType: r, cpuKernelImpl: e, dtype: t10 }) { let u = a.tensorMap.get(s.dataId), c = e(u.values, i); return a.makeTensorInfo(s.shape, i, c); } - let p = new Hr(s.shape, r); + let p = new Xr(s.shape, r); return a.runWebGPUProgram(p, [s], i); }; } -function Ze({ opType: r, cpuKernelImpl: e, supportsComplex: t10 = false, dtype: o }) { +function et({ opType: r, cpuKernelImpl: e, supportsComplex: t10 = false, dtype: o }) { return ({ inputs: n, backend: s }) => { let { a, b: i } = n, p = s; if (t10 && a.dtype === "complex64") { let l = p.tensorMap.get(a.dataId), m = p.tensorMap.get(i.dataId), d, f; - if (r !== ge.MUL) + if (r !== fe.MUL) [d, f] = [[l.complexTensorInfos.real, m.complexTensorInfos.real], [l.complexTensorInfos.imag, m.complexTensorInfos.imag]].map((g) => { - let [x, b] = g, C = { dataId: x.dataId, dtype: x.dtype, shape: a.shape }, w = { dataId: b.dataId, dtype: b.dtype, shape: i.shape }, k = new Yu(r, a.shape, i.shape); - return p.runWebGPUProgram(k, [C, w], dt(x.dtype, b.dtype)); + let [x, b] = g, w = { dataId: x.dataId, dtype: x.dtype, shape: a.shape }, S = { dataId: b.dataId, dtype: b.dtype, shape: i.shape }, k = new bi(r, a.shape, i.shape); + return p.runWebGPUProgram(k, [w, S], dt(x.dtype, b.dtype)); }); else { - let g = new Ul(ge.COMPLEX_MULTIPLY_REAL, a.shape, i.shape), x = new Ul(ge.COMPLEX_MULTIPLY_IMAG, a.shape, i.shape), b = [{ dataId: l.complexTensorInfos.real.dataId, dtype: l.complexTensorInfos.real.dtype, shape: a.shape }, { dataId: l.complexTensorInfos.imag.dataId, dtype: l.complexTensorInfos.imag.dtype, shape: a.shape }, { dataId: m.complexTensorInfos.real.dataId, dtype: m.complexTensorInfos.real.dtype, shape: i.shape }, { dataId: m.complexTensorInfos.imag.dataId, dtype: m.complexTensorInfos.imag.dtype, shape: i.shape }]; + let g = new mm(fe.COMPLEX_MULTIPLY_REAL, a.shape, i.shape), x = new mm(fe.COMPLEX_MULTIPLY_IMAG, a.shape, i.shape), b = [{ dataId: l.complexTensorInfos.real.dataId, dtype: l.complexTensorInfos.real.dtype, shape: a.shape }, { dataId: l.complexTensorInfos.imag.dataId, dtype: l.complexTensorInfos.imag.dtype, shape: a.shape }, { dataId: m.complexTensorInfos.real.dataId, dtype: m.complexTensorInfos.real.dtype, shape: i.shape }, { dataId: m.complexTensorInfos.imag.dataId, dtype: m.complexTensorInfos.imag.dtype, shape: i.shape }]; d = p.runWebGPUProgram(g, b, "float32"), f = p.runWebGPUProgram(x, b, "float32"); } - let h = po({ inputs: { real: d, imag: f }, backend: p }); + let h = fo({ inputs: { real: d, imag: f }, backend: p }); return p.disposeData(d.dataId), p.disposeData(f.dataId), h; } let u = o || dt(a.dtype, i.dtype); if ((a.dtype === "string" || i.dtype === "string" || p.shouldExecuteOnCPU([a, i])) && e != null) { - let l = p.tensorMap.get(a.dataId).values, m = p.tensorMap.get(i.dataId).values, d = a.dtype === "string" ? S.fromUint8ToStringArray(l) : l, f = a.dtype === "string" ? S.fromUint8ToStringArray(m) : m, [h, g] = e(a.shape, i.shape, d, f, u); + let l = p.tensorMap.get(a.dataId).values, m = p.tensorMap.get(i.dataId).values, d = a.dtype === "string" ? C.fromUint8ToStringArray(l) : l, f = a.dtype === "string" ? C.fromUint8ToStringArray(m) : m, [h, g] = e(a.shape, i.shape, d, f, u); return p.makeTensorInfo(g, u, h); } - let c = new Yu(r, a.shape, i.shape); + let c = new bi(r, a.shape, i.shape); return p.runWebGPUProgram(c, [a, i], u); }; } -var { addImpl: q3, castImpl: j3, ceilImpl: X3, concatImpl: Y3, equalImpl: Q3, expImpl: Z3, expm1Impl: J3, floorImpl: eM, gatherNdImpl: tM, gatherV2Impl: rM, greaterEqualImpl: oM, greaterImpl: nM, lessEqualImpl: sM, lessImpl: aM, logImpl: iM, maxImpl: uM, maximumImpl: pM, minimumImpl: cM, multiplyImpl: lM, negImpl: mM, notEqualImpl: dM, prodImpl: fM, rangeImpl: hM, rsqrtImpl: gM, scatterImpl: xM, simpleAbsImpl: yM, sliceImpl: bM, stridedSliceImpl: CM, stringNGramsImpl: SM, subImpl: wM, tileImpl: IM, topKImpl: vM, transposeImpl: kM, uniqueImpl: iTt } = Zp; -var Bre = xe({ opType: X.ABS, cpuKernelImpl: yM }); -var NM = { kernelName: ys, backendName: "webgpu", kernelFunc: Bre }; -var Vre = xe({ opType: X.ACOS }); -var TM = { kernelName: aa, backendName: "webgpu", kernelFunc: Vre }; -var zre = xe({ opType: X.ACOSH }); -var _M = { kernelName: ia, backendName: "webgpu", kernelFunc: zre }; -var Wre = Ze({ opType: ge.ADD, cpuKernelImpl: q3, supportsComplex: true }); -var $M = { kernelName: eo, backendName: "webgpu", kernelFunc: Wre }; -var Pg = class { +var { addImpl: NB, castImpl: TB, ceilImpl: _B, concatImpl: $B, equalImpl: EB, expImpl: RB, expm1Impl: DB, floorImpl: AB, floorDivImpl: FB, gatherNdImpl: PB, gatherV2Impl: OB, greaterEqualImpl: MB, greaterImpl: LB, lessEqualImpl: BB, lessImpl: zB, logImpl: VB, maxImpl: WB, maximumImpl: UB, minimumImpl: GB, multiplyImpl: HB, negImpl: KB, notEqualImpl: qB, prodImpl: jB, rangeImpl: XB, rsqrtImpl: YB, scatterImpl: QB, simpleAbsImpl: ZB, sliceImpl: JB, stridedSliceImpl: ez, stringNGramsImpl: tz, subImpl: rz, tileImpl: oz, topKImpl: nz, transposeImpl: sz, uniqueImpl: o3t } = Sc; +var eie = xe({ opType: Q.ABS, cpuKernelImpl: ZB }); +var az = { kernelName: Gs, backendName: "webgpu", kernelFunc: eie }; +var tie = xe({ opType: Q.ACOS }); +var iz = { kernelName: zo, backendName: "webgpu", kernelFunc: tie }; +var rie = xe({ opType: Q.ACOSH }); +var uz = { kernelName: Vo, backendName: "webgpu", kernelFunc: rie }; +var oie = et({ opType: fe.ADD, cpuKernelImpl: NB, supportsComplex: true }); +var pz = { kernelName: no, backendName: "webgpu", kernelFunc: oie }; +var Zg = class { constructor(e) { - this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e[0], this.variableNames = e.map((t10, o) => `T${o}`), this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.shaderKey = "addN"; + this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e[0], this.variableNames = e.map((t10, o) => `T${o}`), this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.shaderKey = "addN"; } getUserCode() { let e = []; @@ -27830,7 +28636,7 @@ var Pg = class { }); let t10 = this.variableNames.map((n) => `v${n}`).join(" + "); return ` - ${Q("index")} { + ${K("index")} { for (var i = 0; i < ${this.workPerThread}; i = i + 1) { let flatIndex = index * ${this.workPerThread} + i; if (flatIndex < uniforms.size) { @@ -27844,28 +28650,28 @@ var Pg = class { `; } }; -function Ure(r) { +function nie(r) { let { inputs: e, backend: t10 } = r, o = e; if (o.length === 1) - return Dt({ inputs: { x: o[0] }, backend: t10 }); - let n = o.map((i) => i.dtype).reduce((i, p) => dt(i, p)), s = o.map((i) => i.shape), a = new Pg(s); + return At({ inputs: { x: o[0] }, backend: t10 }); + let n = o.map((i) => i.dtype).reduce((i, p) => dt(i, p)), s = o.map((i) => i.shape), a = new Zg(s); return t10.runWebGPUProgram(a, o, n); } -var EM = { kernelName: Po, backendName: "webgpu", kernelFunc: Ure }; -var Mg = class { +var cz = { kernelName: Wo, backendName: "webgpu", kernelFunc: nie }; +var Jg = class { constructor(e, t10) { this.variableNames = ["A"], this.workgroupSize = [16, 16, 1]; let o = new Array(e.length); for (let n = 0; n < o.length; n++) o[n] = e[t10[n]]; - this.outputShape = o, this.dispatchLayout = { x: [0], y: [1] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [1, 1, 1]), this.shaderKey = "transposeShared"; + this.outputShape = o, this.dispatchLayout = { x: [0], y: [1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [1, 1, 1]), this.shaderKey = "transposeShared"; } getUserCode() { y.assert(this.workgroupSize[0] === this.workgroupSize[1], () => `Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`); let e = this.workgroupSize[0]; return ` var tile : array, ${this.workgroupSize[0]}>; - ${Q()} { + ${K()} { var x = i32(workgroupId.x) * ${e} + i32(localId.x); var y = i32(workgroupId.y) * ${e} + i32(localId.y); let width = uniforms.outShape[0]; @@ -27885,18 +28691,18 @@ var Mg = class { `; } }; -var Lg = class { +var ex = class { constructor(e, t10) { this.variableNames = ["A"], this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true; let o = new Array(e.length); for (let n = 0; n < o.length; n++) o[n] = e[t10[n]]; - this.outputShape = o, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.newDim = t10, this.shaderKey = `transpose_${t10}`; + this.outputShape = o, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.newDim = t10, this.shaderKey = `transpose_${t10}`; } getUserCode() { - let e = Rt(this.outputShape.length), t10 = Gre(this.newDim); + let e = Nt(this.outputShape.length), t10 = sie(this.newDim); return ` - ${Q("index")} { + ${K("index")} { for(var i = 0; i < ${this.workPerThread}; i = i + 1) { let flatIndex = index * ${this.workPerThread} + i; if(flatIndex < uniforms.size) { @@ -27909,36 +28715,36 @@ var Lg = class { `; } }; -function Gre(r) { +function sie(r) { let e = r.length; if (e > 6) throw Error(`Transpose for rank ${e} is not yet supported`); let t10 = new Array(e); for (let o = 0; o < r.length; o++) - t10[r[o]] = `resRC.${Ao(o)}`; + t10[r[o]] = `resRC.${Po(o)}`; return t10.join(); } -function Nr(r) { +function rr(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { perm: s } = o, a = t10, i = n.shape.length, p = new Array(i); for (let c = 0; c < p.length; c++) p[c] = n.shape[s[c]]; if (t10.shouldExecuteOnCPU([n])) { - let l = a.tensorMap.get(n.dataId).values, m = kM(l, n.shape, n.dtype, s, p); + let l = a.tensorMap.get(n.dataId).values, m = sz(l, n.shape, n.dtype, s, p); return t10.makeTensorInfo(p, n.dtype, m); } if (n.shape.length === 2 && y.arraysEqual(s, [1, 0])) { - let c = new Mg(n.shape, s); + let c = new Jg(n.shape, s); return a.runWebGPUProgram(c, [n], n.dtype); } - let u = new Lg(n.shape, s); + let u = new ex(n.shape, s); return a.runWebGPUProgram(u, [n], n.dtype); } -var AM = { kernelName: ro, backendName: "webgpu", kernelFunc: Nr }; -var Bg = class { - constructor(e, t10) { - this.workgroupSize = [64, 1, 1], this.variableNames = ["x"], this.uniforms = "reduceSize : i32,", this.size = true, this.inputShape = [e.batchSize, e.inSize]; - let [o] = S.computeOutAndReduceShapes(this.inputShape, [1]); - this.outputShape = o.length === 0 ? [1] : o, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, [1, 1, 1]), this.reduceType = t10, this.shaderKey = `reduce_${t10}`; +var lz = { kernelName: ao, backendName: "webgpu", kernelFunc: rr }; +var tx = class { + constructor(e, t10, o) { + this.variableNames = ["x"], this.uniforms = "reduceSize : i32,", this.size = true, this.inputShape = [e.batchSize, e.inSize]; + let [n] = C.computeOutAndReduceShapes(this.inputShape, [1]); + this.outputShape = n.length === 0 ? [1] : n, e.inSize >= 32768 && o >= 512 ? this.workgroupSize = [512, 1, 1] : e.inSize >= 4096 ? this.workgroupSize = [256, 1, 1] : this.workgroupSize = [64, 1, 1], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, [1, 1, 1]), this.reduceType = t10, this.shaderKey = `reduce_${t10}`; } getUserCode() { let e = "", t10 = "0.0", o = this.workgroupSize[0]; @@ -27961,7 +28767,7 @@ var Bg = class { let offset = ${this.outputShape.length === 1 ? "outputCoords" : "outputCoords[0]"} * uniforms.reduceSize; return offset; } - ${Q("index")} { + ${K("index")} { let outputIndex = index / ${o}; let offset = getOffset(outputIndex); var bestValue = ${t10}; @@ -27995,58 +28801,58 @@ var Bg = class { `; } }; -function Kr(r, e, t10, o, n) { - let s = r.shape.length, a = [], i = y.parseAxisParam(e, r.shape), p = i, u = S.getAxesPermutation(p, s), c = r; - u != null && (c = Nr({ inputs: { x: r }, attrs: { perm: u }, backend: n }), p = S.getInnerMostAxes(p.length, s), a.push(c)), S.assertAxesAreInnerMostDims(o, p, s); - let [l, m] = S.computeOutAndReduceShapes(c.shape, p), d = l; - t10 && (d = S.expandShapeToKeepDim(l, i)); +function Yr(r, e, t10, o, n) { + let s = r.shape.length, a = [], i = y.parseAxisParam(e, r.shape), p = i, u = C.getAxesPermutation(p, s), c = r; + u != null && (c = rr({ inputs: { x: r }, attrs: { perm: u }, backend: n }), p = C.getInnerMostAxes(p.length, s), a.push(c)), C.assertAxesAreInnerMostDims(o, p, s); + let [l, m] = C.computeOutAndReduceShapes(c.shape, p), d = l; + t10 && (d = C.expandShapeToKeepDim(l, i)); let f; if ((o === "max" || o === "prod") && n.shouldExecuteOnCPU([c])) { let h = n.tensorMap.get(c.dataId).values; switch (o) { case "max": - let g = uM(h, y.sizeFromShape(m), d, r.dtype); + let g = WB(h, y.sizeFromShape(m), d, r.dtype); f = n.makeTensorInfo(d, r.dtype, g); break; case "prod": - let { outVals: x, outShape: b, outDtype: C } = fM(c.shape, c.dtype, h, p); - f = n.makeTensorInfo(b, C, x); + let { outVals: x, outShape: b, outDtype: w } = jB(c.shape, c.dtype, h, p); + f = n.makeTensorInfo(b, w, x); break; default: throw new Error(`${o} CPU implementation is not yet supported.`); } } else { - let h = y.sizeFromShape(m), x = y.sizeFromShape(c.shape) / h, b = { windowSize: h, inSize: h, batchSize: x, outSize: 1 }, C = o === "mean" ? "float32" : Ta(r.dtype), w = [{ type: "int32", data: [h] }], k = new Bg(b, o), _ = n.runWebGPUProgram(k, [c], C, w); - a.push(_), f = me({ inputs: { x: _ }, attrs: { shape: d }, backend: n }); + let h = y.sizeFromShape(m), x = y.sizeFromShape(c.shape) / h, b = { windowSize: h, inSize: h, batchSize: x, outSize: 1 }, w = o === "mean" ? "float32" : Za(r.dtype), S = [{ type: "int32", data: [h] }], k = new tx(b, o, n.device.limits.maxComputeWorkgroupSizeX), _ = n.runWebGPUProgram(k, [c], w, S); + a.push(_), f = pe({ inputs: { x: _ }, attrs: { shape: d }, backend: n }); } return a.forEach((h) => n.disposeData(h.dataId)), f; } -function Hre(r) { +function aie(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { keepDims: s, axis: a } = o; - return Kr(n, a, s, "all", t10); + return Yr(n, a, s, "all", t10); } -var RM = { kernelName: Mo, backendName: "webgpu", kernelFunc: Hre }; -function Kre(r) { +var mz = { kernelName: Uo, backendName: "webgpu", kernelFunc: aie }; +function iie(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { keepDims: s, axis: a } = o; - return Kr(n, a, s, "any", t10); + return Yr(n, a, s, "any", t10); } -var DM = { kernelName: Lo, backendName: "webgpu", kernelFunc: Kre }; -var Nc = class { +var dz = { kernelName: Go, backendName: "webgpu", kernelFunc: iie }; +var qc = class { constructor(e, t10, o) { this.workgroupSize = [64, 1, 1], this.variableNames = ["x"], this.uniforms = "infinityValue : f32,", this.size = true; let n = [t10]; this.op = o === "min" ? "<" : ">"; - let [s, a] = S.computeOutAndReduceShapes(e, n); - this.outputShape = s.length === 0 ? [1] : s, this.dispatchLayout = ae(this.outputShape), y.sizeFromShape(a) < 32 || y.sizeFromShape(s) > 1e3 ? (this.type = "plain", this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize)) : (this.type = "shared", this.dispatch = Y(this.dispatchLayout, this.outputShape, [1, 1, 1])), this.inputShape = e, this.shaderKey = `argMinMax_${this.op}_${this.type}`; + let [s, a] = C.computeOutAndReduceShapes(e, n); + this.outputShape = s.length === 0 ? [1] : s, this.dispatchLayout = Z(this.outputShape), y.sizeFromShape(a) < 32 || y.sizeFromShape(s) > 1e3 ? (this.type = "plain", this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize)) : (this.type = "shared", this.dispatch = q(this.dispatchLayout, this.outputShape, [1, 1, 1])), this.inputShape = e, this.shaderKey = `argMinMax_${this.op}_${this.type}`; } getUserCode() { - let e = this.workgroupSize[0], t10 = () => this.inputShape.length === 1 ? "uniforms.xShape" : `uniforms.xShape.${Ao(this.inputShape.length - 1)}`, o = () => { + let e = this.workgroupSize[0], t10 = () => this.inputShape.length === 1 ? "uniforms.xShape" : `uniforms.xShape.${Po(this.inputShape.length - 1)}`, o = () => { let n = ""; if (this.outputShape.length === 1) this.inputShape.length !== 1 && (n += "outputCoords,"); else for (let s = 0; s < this.outputShape.length; s++) - n += `outputCoords.${Ao(s)},`; + n += `outputCoords.${Po(s)},`; return n; }; return this.type === "shared" ? ` @@ -28059,7 +28865,7 @@ var Nc = class { var xBestValues : array; `} - ${Q("index")} { + ${K("index")} { let outputIndex = index / ${e}; let reduceLength = ${t10()}; @@ -28099,7 +28905,7 @@ var Nc = class { } } ` : ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let outputCoords = getCoordsFromIndex(index); var bestIndex = 0; @@ -28118,87 +28924,43 @@ var Nc = class { `; } }; -function qre(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = Nr({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), S.assertAxesAreInnerMostDims("argMax", [a[0]], p.shape.length); - let c = new Nc(p.shape, a[0], "max"), l = [{ type: "float32", data: [Number.NEGATIVE_INFINITY] }], m = t10.runWebGPUProgram(c, [p], "int32", l); +function uie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = rr({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), C.assertAxesAreInnerMostDims("argMax", [a[0]], p.shape.length); + let c = new qc(p.shape, a[0], "max"), l = [{ type: "float32", data: [Number.NEGATIVE_INFINITY] }], m = t10.runWebGPUProgram(c, [p], "int32", l); return u.forEach((d) => t10.disposeData(d.dataId)), m; } -var FM = { kernelName: Bo, backendName: "webgpu", kernelFunc: qre }; -function jre(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = S.getAxesPermutation(a, n.shape.length), p = n, u = []; - i != null && (p = Nr({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = S.getInnerMostAxes(a.length, p.shape.length)), S.assertAxesAreInnerMostDims("argMin", [a[0]], p.shape.length); - let c = new Nc(p.shape, a[0], "min"), l = [{ type: "float32", data: [Number.POSITIVE_INFINITY] }], m = t10.runWebGPUProgram(c, [p], "int32", l); +var fz = { kernelName: Hs, backendName: "webgpu", kernelFunc: uie }; +function pie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s } = o, a = y.parseAxisParam(s, n.shape), i = C.getAxesPermutation(a, n.shape.length), p = n, u = []; + i != null && (p = rr({ inputs: { x: n }, backend: t10, attrs: { perm: i } }), u.push(p), a = C.getInnerMostAxes(a.length, p.shape.length)), C.assertAxesAreInnerMostDims("argMin", [a[0]], p.shape.length); + let c = new qc(p.shape, a[0], "min"), l = [{ type: "float32", data: [Number.POSITIVE_INFINITY] }], m = t10.runWebGPUProgram(c, [p], "int32", l); return u.forEach((d) => t10.disposeData(d.dataId)), m; } -var OM = { kernelName: ei, backendName: "webgpu", kernelFunc: jre }; -var Xre = xe({ opType: X.ASIN }); -var PM = { kernelName: ua, backendName: "webgpu", kernelFunc: Xre }; -var Yre = xe({ opType: X.ASINH }); -var MM = { kernelName: pa, backendName: "webgpu", kernelFunc: Yre }; -var Qre = xe({ opType: X.ATAN }); -var LM = { kernelName: ca, backendName: "webgpu", kernelFunc: Qre }; -var Zre = Ze({ opType: ge.ATAN2 }); -var BM = { kernelName: ma, backendName: "webgpu", kernelFunc: Zre }; -var Jre = xe({ opType: X.ATANH }); -var VM = { kernelName: la, backendName: "webgpu", kernelFunc: Jre }; -var Gl = class { - constructor(e, t10) { - this.variableNames = ["x"], this.uniforms = "stride : vec2, pad : vec2, dilation : vec2, convDims : vec2, filterDims : vec2,", this.workgroupSize = [128, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `pool2D_${t10}`, this.poolType = t10; - } - getUserCode() { - let e = "resultValue = max(value, resultValue);"; - this.poolType === "avg" && (e = "resultValue = resultValue + value; count = count + 1.0;"); - let t10 = "resultValue"; - return this.poolType === "avg" && (t10 = "resultValue / max(count, 1.0)"), ` - ${Q("index")} { - if (index < uniforms.size) { - let coords = getCoordsFromIndex(index); - let batch = coords[0]; - let xRCCorner = vec2(coords.yz) * uniforms.stride - uniforms.pad; - let xRCorner = xRCCorner.x; - let xCCorner = xRCCorner.y; - - var resultValue = ${this.poolType === "avg" ? "0.0" : "-1.0 / pow(10.0, -20.0)"}; - var count = 0.0; - - for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilation.x) { - let xR = xRCorner + wR; - - if (xR < 0 || xR >= uniforms.convDims.x) { - continue; - } - - for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilation.y) { - let xC = xCCorner + wC; - if (xC < 0 || xC >= uniforms.convDims.y) { - continue; - } - - let value = getX(batch, xR, xC, coords[3]); - ${e} - } - } - - setOutputAtIndex(index, ${t10}); - } - } - `; - } -}; -var Vg = class { +var hz = { kernelName: Ks, backendName: "webgpu", kernelFunc: pie }; +var cie = xe({ opType: Q.ASIN }); +var gz = { kernelName: Ho, backendName: "webgpu", kernelFunc: cie }; +var lie = xe({ opType: Q.ASINH }); +var xz = { kernelName: Ko, backendName: "webgpu", kernelFunc: lie }; +var mie = xe({ opType: Q.ATAN }); +var yz = { kernelName: qo, backendName: "webgpu", kernelFunc: mie }; +var die = et({ opType: fe.ATAN2 }); +var bz = { kernelName: Xo, backendName: "webgpu", kernelFunc: die }; +var fie = xe({ opType: Q.ATANH }); +var Cz = { kernelName: jo, backendName: "webgpu", kernelFunc: fie }; +var rx = class { constructor(e) { - this.variableNames = ["x"], this.uniforms = "stride : vec2,", this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "poolWithFilterSizeEqualsOne"; + this.variableNames = ["x"], this.uniforms = "strides : vec2,", this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "poolWithFilterSizeEqualsOne"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; let d = coords[3]; - let xRCCorner = coords.yz * uniforms.stride; + let xRCCorner = coords.yz * uniforms.strides; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -28209,41 +28971,162 @@ var Vg = class { `; } }; -function Hl(r) { +var Da = class { + constructor(e, t10, o = false, n = false, s = false) { + if (this.variableNames = ["x"], this.uniforms = "strides : vec2, pads : vec2, dilations : vec2, convDims : vec2, filterDims : vec2,", this.workgroupSize = [128, 1, 1], this.size = true, t10 === "avg" && o) + throw new Error("Cannot compute positions for average pool."); + this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.poolType = t10, this.computePositions = o, this.flattenPositions = n, this.includeBatchIndex = s, this.shaderKey = `pool2D_${t10}_${o}_${n}_${s}`; + } + getUserCode() { + let e; + this.poolType === "avg" ? e = "resultValue = resultValue + value; count = count + 1.0;" : this.computePositions ? e = `let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions ? this.includeBatchIndex ? "((batch * uniforms.xShape[1] + xR) * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d" : "(xR * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d" : "wR * uniforms.filterDims.y + wC"}; + }` : e = "resultValue = max(value, resultValue);"; + let t10 = "resultValue"; + return this.poolType === "avg" && (t10 = "resultValue / max(count, 1.0)"), ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + let xRCCorner = vec2(coords.yz) * uniforms.strides - uniforms.pads; + let xRCorner = xRCCorner.x; + let xCCorner = xRCCorner.y; + + ${this.computePositions ? `var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;` : `var resultValue = ${this.poolType === "avg" ? "0.0" : "-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilations.x) { + let xR = xRCorner + wR; + + if (xR < 0 || xR >= uniforms.convDims.x) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilations.y) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.y) { + continue; + } + + let value = getX(batch, xR, xC, d); + ${e} + } + } + + ${this.computePositions ? "setOutputAtIndexI32(index, maxPosition);" : `setOutputAtIndex(index, ${t10});`} + } + } + `; + } +}; +var wu = class { + constructor(e, t10, o = false, n = false, s = false) { + if (this.variableNames = ["x"], this.uniforms = "strides : vec3, pads : vec3, convDims : vec3, filterDims : vec3,", this.workgroupSize = [128, 1, 1], this.size = true, t10 === "avg" && o) + throw new Error("Cannot compute positions for average pool."); + this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.poolType = t10, this.computePositions = o, this.flattenPositions = n, this.includeBatchIndex = s, this.shaderKey = `pool3D_${t10}_${o}_${n}_${s}`; + } + getUserCode() { + let e; + this.poolType === "avg" ? e = "resultValue += value; count += 1.0;" : this.computePositions ? e = `let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions ? this.includeBatchIndex ? "(((batch * uniforms.xShape.y + xD) * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch" : "((xD * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch" : "wD * uniforms.filterDims.y * uniforms.filterDims.y + wR * uniforms.filterDims.z + wC"}; + }` : e = "resultValue = max(value, resultValue);"; + let t10 = "resultValue"; + return this.poolType === "avg" && (t10 = "resultValue / max(count, 1.0)"), ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let xCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xDCorner = xCorner.x; + let xRCorner = xCorner.y; + let xCCorner = xCorner.z; + + ${this.computePositions ? `var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;` : `var resultValue = ${this.poolType === "avg" ? "0.0" : "-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wD = 0; wD < uniforms.filterDims.x; wD++) { + let xD = xDCorner + wD; + if (xD < 0 || xD >= uniforms.convDims.x) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims.y; wR++) { + let xR = xRCorner + wR; + if (xR < 0 || xR >= uniforms.convDims.y) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.z; wC++) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.z) { + continue; + } + + let value = getX(batch, xD, xR, xC, ch); + ${e} + } + } + } + + ${this.computePositions ? "setOutputAtIndexI32(index, maxPosition);" : `setOutputAtIndex(index, ${t10});`} + } + } + `; + } +}; +function Ov(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reductionIndices: s, keepDims: a } = o; - return Kr(n, s, a, "max", t10); + return Yr(n, s, a, "max", t10); } -var zM = { kernelName: yn, backendName: "webgpu", kernelFunc: Hl }; -function yI(r) { +var wz = { kernelName: Ln, backendName: "webgpu", kernelFunc: Ov }; +function Mv(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { keepDims: s, axis: a } = o; - return Kr(n, a, s, "mean", t10); + return Yr(n, a, s, "mean", t10); } -var WM = { kernelName: Sn, backendName: "webgpu", kernelFunc: yI }; -function zg(r, e, t10, o) { +var Sz = { kernelName: Vn, backendName: "webgpu", kernelFunc: Mv }; +function ox(r, e, t10, o) { if (e.filterWidth === 1 && e.filterHeight === 1 && y.arraysEqual(e.inShape, e.outShape)) - return Dt({ inputs: { x: r }, backend: o }); + return At({ inputs: { x: r }, backend: o }); if (e.filterWidth === e.inWidth && e.filterHeight === e.inHeight && e.batchSize === 1 && e.padInfo.type === "VALID") { - let a = r.shape.length, i = me({ inputs: { x: r }, backend: o, attrs: { shape: [r.shape[a - 3] * r.shape[a - 2], r.shape[a - 1]] } }), p; - t10 === "avg" ? p = yI({ inputs: { x: i }, backend: o, attrs: { axis: 0, keepDims: false } }) : (y.assert(t10 === "max", () => `Invalid pool type ${t10}`), p = Hl({ inputs: { x: i }, backend: o, attrs: { reductionIndices: 0, keepDims: false } })); - let u = me({ inputs: { x: p }, backend: o, attrs: { shape: e.outShape } }); + let a = r.shape.length, i = pe({ inputs: { x: r }, backend: o, attrs: { shape: [r.shape[a - 3] * r.shape[a - 2], r.shape[a - 1]] } }), p; + t10 === "avg" ? p = Mv({ inputs: { x: i }, backend: o, attrs: { axis: 0, keepDims: false } }) : (y.assert(t10 === "max", () => `Invalid pool type ${t10}`), p = Ov({ inputs: { x: i }, backend: o, attrs: { reductionIndices: 0, keepDims: false } })); + let u = pe({ inputs: { x: p }, backend: o, attrs: { shape: e.outShape } }); return o.disposeData(i.dataId), o.disposeData(p.dataId), u; } let n, s = [{ type: "int32", data: [e.strideHeight, e.strideWidth] }]; - return e.filterHeight === 1 && e.filterWidth === 1 ? n = new Vg(e) : (t10 === "avg" ? n = new Gl(e, "avg") : (y.assert(t10 === "max", () => `Invalid pool type ${t10}`), n = new Gl(e, "max")), s.push({ type: "int32", data: [e.padInfo.top, e.padInfo.left] }, { type: "int32", data: [e.dilationHeight, e.dilationWidth] }, { type: "int32", data: [e.inHeight, e.inWidth] }, { type: "int32", data: [e.effectiveFilterHeight, e.effectiveFilterWidth] })), o.runWebGPUProgram(n, [r], r.dtype, s); + return e.filterHeight === 1 && e.filterWidth === 1 ? n = new rx(e) : (t10 === "avg" ? n = new Da(e, "avg") : (y.assert(t10 === "max", () => `Invalid pool type ${t10}`), n = new Da(e, "max")), s.push({ type: "int32", data: [e.padInfo.top, e.padInfo.left] }, { type: "int32", data: [e.dilationHeight, e.dilationWidth] }, { type: "int32", data: [e.inHeight, e.inWidth] }, { type: "int32", data: [e.effectiveFilterHeight, e.effectiveFilterWidth] })), o.runWebGPUProgram(n, [r], r.dtype, s); } -function eoe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1, c = S.computePool2DInfo(n.shape, s, a, u, i, p); - return zg(n, c, "avg", t10); +function hie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1, c = C.computePool2DInfo(n.shape, s, a, u, i, p); + return ox(n, c, "avg", t10); } -var UM = { kernelName: Vo, backendName: "webgpu", kernelFunc: eoe }; -var Wg = class { +var Iz = { kernelName: Yo, backendName: "webgpu", kernelFunc: hie }; +function gie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dataFormat: p, dimRoundingMode: u } = o, c = [1, 1, 1], l = C.computePool3DInfo(n.shape, s, a, c, i, u, p), m = new wu(l, "avg"), d = [{ type: "int32", data: [l.strideDepth, l.strideHeight, l.strideWidth] }, { type: "int32", data: [l.padInfo.front, l.padInfo.top, l.padInfo.left] }, { type: "int32", data: [l.inDepth, l.inHeight, l.inWidth] }, { type: "int32", data: [l.effectiveFilterDepth, l.effectiveFilterHeight, l.effectiveFilterWidth] }]; + return t10.runWebGPUProgram(m, [n], n.dtype, d); +} +var vz = { kernelName: qs, backendName: "webgpu", kernelFunc: gie }; +var nx = class { constructor(e) { - this.variableNames = ["dy"], this.uniforms = `stride : vec2, pads : vec2, dilation : vec2, filterDims : vec2, - outHeight : i32, outWidth : i32, avgMultiplier : f32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "avg_pool2d_backprop"; + this.variableNames = ["dy"], this.uniforms = `strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, avgMultiplier : f32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "avgPool2DBackprop"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -28256,16 +29139,16 @@ var Wg = class { // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; - for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilation[0]) { - let dyR = f32(dyRCorner + wR) / f32(uniforms.stride[0]); + for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { continue; } let idyR = i32(dyR); - for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilation[1]) { - let dyC = f32(dyCCorner + wC) / f32(uniforms.stride[1]); + for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { continue; @@ -28283,26 +29166,88 @@ var Wg = class { `; } }; -function toe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s; - fI([n, s], "avgPoolGrad"); - let { filterSize: i, strides: p, pad: u } = o, c = S.computePool2DInfo(a.shape, i, p, 1, u), l = new Wg(c), m = 1 / (c.filterHeight * c.filterWidth), d = [{ type: "int32", data: [c.strideHeight, c.strideWidth] }, { type: "int32", data: [c.effectiveFilterHeight - 1 - c.padInfo.top, c.effectiveFilterWidth - 1 - c.padInfo.left] }, { type: "int32", data: [c.dilationHeight, c.dilationWidth] }, { type: "int32", data: [c.effectiveFilterHeight, c.effectiveFilterWidth] }, { type: "int32", data: [c.outHeight] }, { type: "int32", data: [c.outWidth] }, { type: "float32", data: [m] }]; - return t10.runWebGPUProgram(l, [n], a.dtype, d); -} -var GM = { kernelName: mp, backendName: "webgpu", kernelFunc: toe }; -function roe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s } = e, { transposeA: a, transposeB: i } = o; - return Xu({ a: n, b: s, transposeA: a, transposeB: i, backend: t10 }); -} -var HM = { kernelName: zo, backendName: "webgpu", kernelFunc: roe }; -var Ug = class { - constructor(e, t10) { - this.variableNames = ["source"], this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.rank = t10.length, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.start = e, this.uniforms = `start : ${Rt(e.length)}, `, this.shaderKey = "slice"; +var sx = class { + constructor(e) { + this.variableNames = ["dy"], this.uniforms = `strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, avgMultiplier : f32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "avgPool3DBackprop"; } getUserCode() { - let e = Rt(this.rank), t10 = ooe(this.rank), o; - return this.start.length === 1 ? o = this.outputShape.map((s, a) => "sourceLoc = uniforms.start + coords;") : o = this.outputShape.map((s, a) => `sourceLoc.${bI[a]} = uniforms.start.${Ao(a)} + coords.${bI[a]};`), ` - ${Q("index")} { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + dotProd += dyValue * uniforms.avgMultiplier; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +function xie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = C.computePool3DInfo(a.shape, i, p, 1, u, c), m = new sx(l), d = 1 / (l.filterDepth * l.filterHeight * l.filterWidth), f = [{ type: "int32", data: [l.strideDepth, l.strideHeight, l.strideWidth] }, { type: "int32", data: [l.effectiveFilterDepth - 1 - l.padInfo.front, l.effectiveFilterHeight - 1 - l.padInfo.top, l.effectiveFilterWidth - 1 - l.padInfo.left] }, { type: "int32", data: [l.effectiveFilterDepth, l.effectiveFilterHeight, l.effectiveFilterWidth] }, { type: "int32", data: [l.outDepth] }, { type: "int32", data: [l.outHeight] }, { type: "int32", data: [l.outWidth] }, { type: "float32", data: [d] }]; + return t10.runWebGPUProgram(m, [n], a.dtype, f); +} +var kz = { kernelName: Ni, backendName: "webgpu", kernelFunc: xie }; +function yie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s; + cm([n, s], "avgPoolGrad"); + let { filterSize: i, strides: p, pad: u } = o, c = C.computePool2DInfo(a.shape, i, p, 1, u), l = new nx(c), m = 1 / (c.filterHeight * c.filterWidth), d = [{ type: "int32", data: [c.strideHeight, c.strideWidth] }, { type: "int32", data: [c.effectiveFilterHeight - 1 - c.padInfo.top, c.effectiveFilterWidth - 1 - c.padInfo.left] }, { type: "int32", data: [c.dilationHeight, c.dilationWidth] }, { type: "int32", data: [c.effectiveFilterHeight, c.effectiveFilterWidth] }, { type: "int32", data: [c.outHeight] }, { type: "int32", data: [c.outWidth] }, { type: "float32", data: [m] }]; + return t10.runWebGPUProgram(l, [n], a.dtype, d); +} +var Nz = { kernelName: Gp, backendName: "webgpu", kernelFunc: yie }; +function bie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { a: n, b: s } = e, { transposeA: a, transposeB: i } = o; + return $p({ a: n, b: s, transposeA: a, transposeB: i, backend: t10 }); +} +var Tz = { kernelName: Qo, backendName: "webgpu", kernelFunc: bie }; +var ax = class { + constructor(e, t10) { + this.variableNames = ["source"], this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.rank = t10.length, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.start = e, this.uniforms = `start : ${Nt(e.length)}, `, this.shaderKey = "slice"; + } + getUserCode() { + let e = Nt(this.rank), t10 = Cie(this.rank), o; + return this.start.length === 1 ? o = this.outputShape.map((s, a) => "sourceLoc = uniforms.start + coords;") : o = this.outputShape.map((s, a) => `sourceLoc.${Lv[a]} = uniforms.start.${Po(a)} + coords.${Lv[a]};`), ` + ${K("index")} { if (index < uniforms.size) { var sourceLoc : ${e}; let coords = getCoordsFromIndex(index); @@ -28314,51 +29259,51 @@ var Ug = class { `; } }; -var bI = ["x", "y", "z", "w", "u", "v"]; -function ooe(r) { +var Lv = ["x", "y", "z", "w", "u", "v"]; +function Cie(r) { if (r === 1) return "sourceLoc"; if (r <= 6) - return bI.slice(0, r).map((e) => `sourceLoc.${e}`).join(","); + return Lv.slice(0, r).map((e) => `sourceLoc.${e}`).join(","); throw Error(`Slicing for rank ${r} is not yet supported`); } -function fs(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, size: a } = o, [i, p] = ut.parseSliceParams(n, s, a); - if (ut.assertParamsValid(n, i, p), t10.shouldExecuteOnCPU([n]) || n.dtype === "string") { - let l = t10.tensorMap.get(n.dataId), m = bM(l.values, i, p, n.shape, n.dtype); +function zs(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, size: a } = o, [i, p] = ct.parseSliceParams(n, s, a); + if (ct.assertParamsValid(n, i, p), t10.shouldExecuteOnCPU([n]) || n.dtype === "string") { + let l = t10.tensorMap.get(n.dataId), m = JB(l.values, i, p, n.shape, n.dtype); return t10.makeTensorInfo(p, n.dtype, m); } if (y.sizeFromShape(p) === 0) return t10.makeTensorInfo(p, n.dtype, []); - let u = new Ug(i, p), c = [{ type: "int32", data: i }]; + let u = new ax(i, p), c = [{ type: "int32", data: i }]; return t10.runWebGPUProgram(u, [n], n.dtype, c); } -var KM = { kernelName: Es, backendName: "webgpu", kernelFunc: fs }; -var noe = (r) => { +var _z = { kernelName: pa, backendName: "webgpu", kernelFunc: zs }; +var wie = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, crops: a } = o; y.assert(n.shape.length <= 4, () => "batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet"); - let i = s.reduce((b, C) => b * C), p = S.getReshaped(n.shape, s, i), u = S.getPermuted(p.length, s.length), c = S.getReshapedPermuted(n.shape, s, i), l = S.getSliceBeginCoords(a, s.length), m = S.getSliceSize(c, a, s.length), d = [], f = me({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), h = Nr({ inputs: { x: f }, backend: t10, attrs: { perm: u } }), g = me({ inputs: { x: h }, backend: t10, attrs: { shape: c } }), x = fs({ inputs: { x: g }, backend: t10, attrs: { begin: l, size: m } }); + let i = s.reduce((b, w) => b * w), p = C.getReshaped(n.shape, s, i), u = C.getPermuted(p.length, s.length), c = C.getReshapedPermuted(n.shape, s, i), l = C.getSliceBeginCoords(a, s.length), m = C.getSliceSize(c, a, s.length), d = [], f = pe({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), h = rr({ inputs: { x: f }, backend: t10, attrs: { perm: u } }), g = pe({ inputs: { x: h }, backend: t10, attrs: { shape: c } }), x = zs({ inputs: { x: g }, backend: t10, attrs: { begin: l, size: m } }); return d.push(f), d.push(h), d.push(g), d.forEach((b) => t10.disposeData(b.dataId)), x; }; -var qM = { kernelName: bs, backendName: "webgpu", kernelFunc: noe }; -var soe = ` +var $z = { kernelName: js, backendName: "webgpu", kernelFunc: wie }; +var Sie = ` fn bincount_write(index: i32, value: f32) { - ${Ic("&result[index]", "value", "float32")} + ${Bs("&result[index]", "value", "float32")} } `; -var aoe = ` +var Iie = ` fn bincount_write(index: i32, value: f32) { atomicStore(&result[index], bitcast(value)); } `; -var Tc = class { +var jc = class { constructor(e, t10, o = false) { - this.outputShape = [], this.variableNames = ["x"], this.uniforms = "binCountSize : i32,", this.workgroupSize = [64, 1, 1], this.atomic = true, this.hasWeights = true, this.binaryOutput = false, this.outputShape = e, this.rank = e.length, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.binaryOutput = o, o && (this.atomic = false), this.hasWeights = t10, this.hasWeights && this.variableNames.push("w"), this.shaderKey = `bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`; + this.outputShape = [], this.variableNames = ["x"], this.uniforms = "binCountSize : i32,", this.workgroupSize = [64, 1, 1], this.atomic = true, this.hasWeights = true, this.binaryOutput = false, this.outputShape = e, this.rank = e.length, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.binaryOutput = o, o && (this.atomic = false), this.hasWeights = t10, this.hasWeights && this.variableNames.push("w"), this.shaderKey = `bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`; } getUserCode() { return ` - ${this.binaryOutput ? aoe : soe} - ${Q("index")} { + ${this.binaryOutput ? Iie : Sie} + ${K("index")} { ${this.rank === 1 ? `if (index < uniforms.xShape) { let indexVal = i32(getX(index)); if (indexVal < uniforms.binCountSize) { @@ -28377,60 +29322,103 @@ var Tc = class { `; } }; -function ioe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = y.sizeFromShape(n.shape), u = y.sizeFromShape(s.shape) > 0, c = [a], l = s.dtype, m = fr({ backend: t10, attrs: { shape: c, value: 0, dtype: l } }), d = new Tc([i], u), f = [{ type: "int32", data: [a] }], h = u ? [n, s] : [n]; +function vie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a } = o, i = y.sizeFromShape(n.shape), u = y.sizeFromShape(s.shape) > 0, c = [a], l = s.dtype, m = Vt({ backend: t10, attrs: { shape: c, value: 0, dtype: l } }), d = new jc([i], u), f = [{ type: "int32", data: [a] }], h = u ? [n, s] : [n]; return t10.runWebGPUProgram(d, h, l, f, m); } -var jM = { kernelName: ti, backendName: "webgpu", kernelFunc: ioe }; -var CI = Ze({ opType: ge.NOT_EQUAL, dtype: "bool", cpuKernelImpl: dM }); -var XM = { kernelName: Nn, backendName: "webgpu", kernelFunc: CI }; -function Xa(r) { - let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.tensorMap.get(o.dataId); - return Dt({ inputs: { x: n.complexTensorInfos.real }, backend: t10 }); +var Ez = { kernelName: Zo, backendName: "webgpu", kernelFunc: vie }; +var ix = class { + constructor(e) { + this.outputShape = [], this.variableNames = ["s0", "s1"], this.uniforms = "s0Size : i32, s1Size : i32, ", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "broadcastArgs"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + var s0 = 1.0; + var s1 = 1.0; + let indexS0 = index - uniforms.size + uniforms.s0Size; + let indexS1 = index - uniforms.size + uniforms.s1Size; + if (indexS0 >= 0) { + s0 = getS0(indexS0); + } + if (indexS1 >= 0) { + s1 = getS1(indexS1); + } + + if (s0 == 1.0) { + setOutputAtIndex(index, s1); + } else if (s1 == 1.0) { + setOutputAtIndex(index, s0); + } else if (s0 != s1) { + setOutputAtIndex(index, uniforms.NAN); + } else { + setOutputAtIndex(index, s0); + } + } + } + `; + } +}; +function kie(r) { + let { inputs: e, backend: t10 } = r, { s0: o, s1: n } = e; + if (t10.shouldExecuteOnCPU([o, n])) { + let c = t10.tensorMap.get(o.dataId), l = t10.tensorMap.get(n.dataId), m = c.values, d = l.values, f = C.assertAndGetBroadcastShape(Array.from(m), Array.from(d)); + return t10.makeTensorInfo([f.length], "int32", Int32Array.from(f)); + } + let s = y.sizeFromShape(o.shape), a = y.sizeFromShape(n.shape), i = Math.max(s, a), p = new ix(i), u = [{ type: "int32", data: [s] }, { type: "int32", data: [a] }]; + return t10.runWebGPUProgram(p, [o, n], "int32", u); } -var YM = { kernelName: di, backendName: "webgpu", kernelFunc: Xa }; -function QM(r, e) { - let t10 = new Hr(r.shape, X.TO_INT), o = e.runWebGPUProgram(t10, [r], "int32"); +var Rz = { kernelName: Xs, backendName: "webgpu", kernelFunc: kie }; +var Bv = et({ opType: fe.NOT_EQUAL, dtype: "bool", cpuKernelImpl: qB }); +var Dz = { kernelName: qn, backendName: "webgpu", kernelFunc: Bv }; +function Ci(r) { + let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.tensorMap.get(o.dataId); + return At({ inputs: { x: n.complexTensorInfos.real }, backend: t10 }); +} +var Az = { kernelName: zi, backendName: "webgpu", kernelFunc: Ci }; +function Fz(r, e) { + let t10 = new Xr(r.shape, Q.TO_INT), o = e.runWebGPUProgram(t10, [r], "int32"); return { dataId: o.dataId, shape: o.shape, dtype: o.dtype }; } -function SI(r) { +function zv(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dtype: s } = o; if (s === "complex64") { if (n.dtype === "complex64") - return Dt({ inputs: { x: n }, backend: t10 }); - let a = Br(n.shape), i = SI({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), p = po({ inputs: { real: i, imag: a }, backend: t10 }); + return At({ inputs: { x: n }, backend: t10 }); + let a = Wr(n.shape), i = zv({ inputs: { x: n }, backend: t10, attrs: { dtype: "float32" } }), p = fo({ inputs: { real: i, imag: a }, backend: t10 }); return a.dispose(), t10.disposeData(i.dataId), p; } if (n.dtype === "complex64") { - let a = Xa({ inputs: { input: n }, backend: t10 }), i = SI({ inputs: { x: a }, backend: t10, attrs: { dtype: s } }); + let a = Ci({ inputs: { input: n }, backend: t10 }), i = zv({ inputs: { x: a }, backend: t10, attrs: { dtype: s } }); return t10.disposeData(a.dataId), i; } if (!y.hasEncodingLoss(n.dtype, s)) { - let a = Dt({ inputs: { x: n }, backend: t10 }); + let a = At({ inputs: { x: n }, backend: t10 }); return { dataId: a.dataId, shape: a.shape, dtype: s }; } if (t10.shouldExecuteOnCPU([n])) { - let a = t10.tensorMap.get(n.dataId).values, [i, p, u] = j3(a, n.shape, n.dtype, s); + let a = t10.tensorMap.get(n.dataId).values, [i, p, u] = TB(a, n.shape, n.dtype, s); return t10.makeTensorInfo(i, p, u); } if (s === "int32") - return QM(n, t10); + return Fz(n, t10); if (s === "bool") { - let a = t10.makeTensorInfo([], "bool", y.getTypedArrayFromDType("bool", 1)), p = CI({ inputs: { a: n, b: a }, backend: t10 }); + let a = t10.makeTensorInfo([], "bool", y.getTypedArrayFromDType("bool", 1)), p = Bv({ inputs: { a: n, b: a }, backend: t10 }); return t10.disposeData(a.dataId), p; } throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`); } -var ZM = { kernelName: co, backendName: "webgpu", kernelFunc: SI }; -var uoe = xe({ opType: X.CEIL, cpuKernelImpl: X3 }); -var JM = { kernelName: Wo, backendName: "webgpu", kernelFunc: uoe }; -var Gg = class { +var Pz = { kernelName: ho, backendName: "webgpu", kernelFunc: zv }; +var Nie = xe({ opType: Q.CEIL, cpuKernelImpl: _B }); +var Oz = { kernelName: Jo, backendName: "webgpu", kernelFunc: Nie }; +var ux = class { constructor(e) { - this.variableNames = ["A"], this.uniforms = "minVal : f32, maxVal : f32,", this.workPerThread = 4, this.workgroupSize = [64, 1, 1], this.isVec4 = true, this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.shaderKey = "clipVec4"; + this.variableNames = ["A"], this.uniforms = "minVal : f32, maxVal : f32,", this.workPerThread = 4, this.workgroupSize = [64, 1, 1], this.outputComponent = 4, this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.shaderKey = "clipVec4"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); var clampedValue = clamp( @@ -28442,13 +29430,13 @@ var Gg = class { `; } }; -var Hg = class { +var px = class { constructor(e) { - this.variableNames = ["A"], this.uniforms = "minVal : f32, maxVal : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "clip"; + this.variableNames = ["A"], this.uniforms = "minVal : f32, maxVal : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "clip"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); if (isnan(value)) { @@ -28461,14 +29449,42 @@ var Hg = class { `; } }; -function poe(r) { +function Tie(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { clipValueMin: s, clipValueMax: a } = o, i, p = [{ type: "float32", data: [s] }, { type: "float32", data: [a] }]; - return y.sizeFromShape(n.shape) % 4 === 0 ? i = new Gg(n.shape) : i = new Hg(n.shape), t10.runWebGPUProgram(i, [n], n.dtype, p); + return y.sizeFromShape(n.shape) % 4 === 0 ? i = new ux(n.shape) : i = new px(n.shape), t10.runWebGPUProgram(i, [n], n.dtype, p); } -var eL = { kernelName: lo, backendName: "webgpu", kernelFunc: poe }; -var Kg = class { +var Mz = { kernelName: go, backendName: "webgpu", kernelFunc: Tie }; +var cx = class { constructor(e) { - this.uniforms = "", this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = S.computeOutShape(e, 1), this.variableNames = e.map((t10, o) => `T${o}`), this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.offsetLength = e.length - 1; + this.outputShape = [], this.variableNames = ["real", "imag"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "complexAbs"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let re = abs(getRealByOutputIndex(index)); + let im = abs(getImagByOutputIndex(index)); + let mx = max(re, im); + + // The length function in wgsl may be not underflow-safe on some GPUs. + // So the safe solution is to ensure underflow-safety in all cases. + setOutputAtIndex(index, select(mx * length(vec2(1, min(re, im)/mx)), 0.0, mx == 0.0)); + } + } + `; + } +}; +function Lz(r, e) { + return { dataId: e.dataId, dtype: e.dtype, shape: r.shape }; +} +function _ie(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = t10.tensorMap.get(o.dataId), s = new cx(o.shape), a = [Lz(o, n.complexTensorInfos.real), Lz(o, n.complexTensorInfos.imag)]; + return t10.runWebGPUProgram(s, a, a[0].dtype); +} +var Bz = { kernelName: _i, backendName: "webgpu", kernelFunc: _ie }; +var lx = class { + constructor(e) { + this.uniforms = "", this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = C.computeOutShape(e, 1), this.variableNames = e.map((t10, o) => `T${o}`), this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]), this.offsetLength = e.length - 1; for (let t10 = 0; t10 < this.offsetLength; t10++) this.uniforms += `offset${t10} : i32,`; this.shaderKey = "concat"; @@ -28484,7 +29500,7 @@ var Kg = class { } else e.push("setOutputAtCoords(coords.x, coords.y, getT0(yR, yC));"); return ` - ${Q("index")} { + ${K("index")} { for(var i = 0; i < ${this.workPerThread}; i = i + 1) { let flatIndex = index * ${this.workPerThread} + i; if(flatIndex < uniforms.size) { @@ -28500,38 +29516,38 @@ var Kg = class { `; } }; -function Qu(r) { +function Ep(r) { let { inputs: e, backend: t10 } = r, { input: o } = e, n = t10.tensorMap.get(o.dataId); - return Dt({ inputs: { x: n.complexTensorInfos.imag }, backend: t10 }); + return At({ inputs: { x: n.complexTensorInfos.imag }, backend: t10 }); } -var tL = { kernelName: ci, backendName: "webgpu", kernelFunc: Qu }; -function _c(r, e, t10) { +var zz = { kernelName: Mi, backendName: "webgpu", kernelFunc: Ep }; +function Xc(r, e, t10) { let o = r[0].dtype; if (o === "complex64") { - let f = r.map((C) => Xa({ inputs: { input: C }, backend: t10 })), h = r.map((C) => Qu({ inputs: { input: C }, backend: t10 })), g = _c(f, e, t10), x = _c(h, e, t10), b = po({ inputs: { real: g, imag: x }, backend: t10 }); - return f.forEach((C) => t10.disposeData(C.dataId)), h.forEach((C) => t10.disposeData(C.dataId)), t10.disposeData(g.dataId), t10.disposeData(x.dataId), b; + let f = r.map((w) => Ci({ inputs: { input: w }, backend: t10 })), h = r.map((w) => Ep({ inputs: { input: w }, backend: t10 })), g = Xc(f, e, t10), x = Xc(h, e, t10), b = fo({ inputs: { real: g, imag: x }, backend: t10 }); + return f.forEach((w) => t10.disposeData(w.dataId)), h.forEach((w) => t10.disposeData(w.dataId)), t10.disposeData(g.dataId), t10.disposeData(x.dataId), b; } let n = t10.shouldExecuteOnCPU(r); if (o === "string" && (n = true), n) { let f = r.map((k) => { let E = [-1, y.sizeFromShape(k.shape.slice(e))]; - return me({ inputs: { x: k }, backend: t10, attrs: { shape: E } }); - }), h = f.map((k) => ({ vals: t10.readSync(k.dataId), shape: k.shape })), g = S.computeOutShape(f.map((k) => k.shape), 1), x = f[0].shape[0] === 1, b = Y3(h, g, o, x), C = S.computeOutShape(r.map((k) => k.shape), e), w = t10.makeTensorInfo(C, o, b); - return f.forEach((k) => t10.disposeData(k.dataId)), w; + return pe({ inputs: { x: k }, backend: t10, attrs: { shape: E } }); + }), h = f.map((k) => ({ vals: t10.readSync(k.dataId), shape: k.shape })), g = C.computeOutShape(f.map((k) => k.shape), 1), x = f[0].shape[0] === 1, b = $B(h, g, o, x), w = C.computeOutShape(r.map((k) => k.shape), e), S = t10.makeTensorInfo(w, o, b); + return f.forEach((k) => t10.disposeData(k.dataId)), S; } let s = t10.device.limits.maxStorageBuffersPerShaderStage - 1; if (r.length > s) { let f = []; for (let g = 0; g < r.length; g += s) { let x = r.slice(g, g + s); - f.push(_c(x, e, t10)); + f.push(Xc(x, e, t10)); } - let h = _c(f, e, t10); + let h = Xc(f, e, t10); for (let g of f) t10.disposeData(g.dataId); return h; } - let { tensors2D: a, outShape: i } = coe(r, e, t10), p = a.map((f) => f.shape), u = new Kg(p), c = [], l = new Array(p.length - 1); + let { tensors2D: a, outShape: i } = $ie(r, e, t10), p = a.map((f) => f.shape), u = new lx(p), c = [], l = new Array(p.length - 1); if (l.length > 0) { l[0] = p[0][1], c.push({ type: "int32", data: [l[0]] }); for (let f = 1; f < l.length; f++) @@ -28539,26 +29555,26 @@ function _c(r, e, t10) { } let m = t10.runWebGPUProgram(u, a, a[0].dtype, c); a.forEach((f) => t10.disposeData(f.dataId)); - let d = me({ inputs: { x: m }, backend: t10, attrs: { shape: i } }); + let d = pe({ inputs: { x: m }, backend: t10, attrs: { shape: i } }); return t10.disposeData(m.dataId), d; } -function coe(r, e, t10) { - let o = S.computeOutShape(r.map((s) => s.shape), e); - return { tensors2D: r.map((s) => me({ inputs: { x: s }, backend: t10, attrs: { shape: [y.sizeFromShape(s.shape.slice(0, e)), y.sizeFromShape(s.shape.slice(e))] } })), outShape: o }; +function $ie(r, e, t10) { + let o = C.computeOutShape(r.map((s) => s.shape), e); + return { tensors2D: r.map((s) => pe({ inputs: { x: s }, backend: t10, attrs: { shape: [y.sizeFromShape(s.shape.slice(0, e)), y.sizeFromShape(s.shape.slice(e))] } })), outShape: o }; } -function wI(r) { +function Vv(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o, s = y.parseAxisParam(n, e[0].shape)[0], a = e.map((u) => u.shape); - S.assertParamsConsistent(a, s); - let i = S.computeOutShape(e.map((u) => u.shape), s); + C.assertParamsConsistent(a, s); + let i = C.computeOutShape(e.map((u) => u.shape), s); if (y.sizeFromShape(i) === 0) return t10.makeTensorInfo(i, e[0].dtype, []); let p = e.filter((u) => y.sizeFromShape(u.shape) > 0); - return p.length === 1 ? Dt({ inputs: { x: p[0] }, backend: t10 }) : _c(p, s, t10); + return p.length === 1 ? At({ inputs: { x: p[0] }, backend: t10 }) : Xc(p, s, t10); } -var rL = { kernelName: Cs, backendName: "webgpu", kernelFunc: wI }; -function loe(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) { - let c = (R) => { - switch (R) { +var Vz = { kernelName: Ys, backendName: "webgpu", kernelFunc: Vv }; +function Eie(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) { + let c = (D) => { + switch (D) { case 1: return "resData = x[xIndex];"; case 3: @@ -28566,16 +29582,16 @@ function loe(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) case 4: return "resData = x[xIndex / 4];"; default: - throw new Error(`innerElementSize ${R} is not supported.`); + throw new Error(`innerElementSize ${D} is not supported.`); } - }, l = (R) => { - switch (R) { + }, l = (D) => { + switch (D) { case 1: return "return W[row * uniforms.wShape[3] + colIn];"; case 4: return "return W[row * uniforms.wShape[3] / 4 + colIn];"; default: - throw new Error(`innerElementSize ${R} is not supported.`); + throw new Error(`innerElementSize ${D} is not supported.`); } }, m = r ? ` let coord = vec4(batch, xRow, xCol, xCh); @@ -28601,10 +29617,10 @@ function loe(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) let WRow = ${x} / (uniforms.filterDims[1] * inChannels); let WCol = ${x} / inChannels % uniforms.filterDims[1]; - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * WRow - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * WCol - uniforms.pads[1]; let xCh = ${x} % inChannels; - var resData = ${kt(i)}(0.0); + var resData = ${Ae(i)}(0.0); // The bounds checking is always needed since we use it to pad zero for // the 'same' padding type. if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${h}) { @@ -28612,29 +29628,29 @@ function loe(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) let xIndex = getIndexFromCoords4D(coord, uniforms.xShape); ${c(i)} } - return resData;`, C = r ? e && o ? ` + return resData;`, w = r ? e && o ? ` let col = colIn * ${i}; ${b}` : ` let col = colIn * ${i}; if (row < uniforms.dimAOuter && col < uniforms.dimInner) { ${b} } - return ${kt(i)}(0.0);` : o && t10 ? ` + return ${Ae(i)}(0.0);` : o && t10 ? ` let col = colIn * ${i}; ${b}` : ` let col = colIn * ${i}; if (row < uniforms.dimInner && col < uniforms.dimBOuter) { ${b} } - return ${kt(i)}(0.0);`, w = `${l(p)}`, k = kt(u), _ = r ? kt(i) : kt(p), E = r ? kt(p) : kt(i); + return ${Ae(i)}(0.0);`, S = `${l(p)}`, k = Ae(u), _ = r ? Ae(i) : Ae(p), E = r ? Ae(p) : Ae(i); return ` - ${pr(s, a, u === 4, 4)} + ${dr(s, a, u === 4, 4)} fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${_} { - ${r ? C : w} + ${r ? w : S} } fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} { - ${r ? w : C} + ${r ? S : w} } fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${k}) { @@ -28644,30 +29660,30 @@ function loe(r, e, t10, o, n = false, s = null, a = false, i = 4, p = 4, u = 4) var value = valueIn; let outWidth = ${r ? "uniforms.outShape[2]" : "uniforms.outShape[3]"}; ${d} - ${Gr(n, s)} + ${jr(n, s)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } }`; } -var qg = class { +var mx = class { constructor(e, t10, o, n, s = false, a = null, i = false, p = false) { - this.variableNames = ["x", "W"], this.uniforms = "filterDims : vec2, pad : vec2, stride : vec2, dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.outputShape = e.outShape, this.isChannelsLast = e.dataFormat === "channelsLast", this.isVec4 = ((e.inChannels % 4 === 0 || e.inChannels % 3 === 0) && this.isChannelsLast || e.outWidth % 4 === 0 && !this.isChannelsLast) && e.outChannels % 4 === 0, this.dispatchLayout = this.isChannelsLast ? { x: [3], y: [1, 2], z: [0] } : { x: [2, 3], y: [1], z: [0] }, this.workgroupSize = Bl(this.dispatchLayout, this.outputShape, this.isVec4), this.elementsPerThread = Vl(this.dispatchLayout, this.outputShape, this.isVec4), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread), this.isVec4 ? (this.isChannelsLast && e.inChannels % 4 !== 0 ? (this.innerElementSize = 3, this.variableTypes = ["f32", "vec4"]) : (this.innerElementSize = 4, this.variableTypes = ["vec4", "vec4"]), s && (this.variableNames.push("bias"), this.variableTypes.push("vec4")), i && (this.variableNames.push("preluActivationWeights"), this.variableTypes.push("vec4"))) : (this.innerElementSize = this.elementsPerThread[0], s && this.variableNames.push("bias"), i && this.variableNames.push("preluActivationWeights")), this.sequentialAccessByThreads = p, this.addBias = s, this.activation = a, this.hasPreluActivationWeights = i, this.tileAOuter = this.workgroupSize[1] * this.elementsPerThread[1], this.tileBOuter = this.workgroupSize[0] * this.elementsPerThread[0], this.tileInner = Math.max(this.workgroupSize[0] * this.innerElementSize, this.workgroupSize[1]), this.fitAOuter = t10 % this.tileAOuter === 0, this.fitBOuter = o % this.tileBOuter === 0, this.fitInner = n % this.tileInner === 0, this.shaderKey = `conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`; + this.variableNames = ["x", "W"], this.uniforms = "filterDims : vec2, pads : vec2, strides : vec2, dilations : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.outputShape = e.outShape, this.isChannelsLast = e.dataFormat === "channelsLast", this.isVec4 = ((e.inChannels % 4 === 0 || e.inChannels % 3 === 0) && this.isChannelsLast || e.outWidth % 4 === 0 && !this.isChannelsLast) && e.outChannels % 4 === 0, this.dispatchLayout = this.isChannelsLast ? { x: [3], y: [1, 2], z: [0] } : { x: [2, 3], y: [1], z: [0] }, this.workgroupSize = im(this.dispatchLayout, this.outputShape, this.isVec4), this.elementsPerThread = um(this.dispatchLayout, this.outputShape, this.isVec4), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread), this.isVec4 ? (this.outputComponent = 4, this.isChannelsLast && e.inChannels % 4 !== 0 ? (this.innerElementSize = 3, this.variableComponents = [1, 4]) : (this.innerElementSize = 4, this.variableComponents = [4, 4]), s && (this.variableNames.push("bias"), this.variableComponents.push(4)), i && (this.variableNames.push("preluActivationWeights"), this.variableComponents.push(4))) : (this.innerElementSize = this.elementsPerThread[0], s && this.variableNames.push("bias"), i && this.variableNames.push("preluActivationWeights")), this.sequentialAccessByThreads = p, this.addBias = s, this.activation = a, this.hasPreluActivationWeights = i, this.tileAOuter = this.workgroupSize[1] * this.elementsPerThread[1], this.tileBOuter = this.workgroupSize[0] * this.elementsPerThread[0], this.tileInner = Math.max(this.workgroupSize[0] * this.innerElementSize, this.workgroupSize[1]), this.fitAOuter = t10 % this.tileAOuter === 0, this.fitBOuter = o % this.tileBOuter === 0, this.fitInner = n % this.tileInner === 0, this.shaderKey = `conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`; } getUserCode() { - let e = this.isVec4 ? qu(this.elementsPerThread, this.workgroupSize, !this.isChannelsLast, this.tileInner) : ju(this.elementsPerThread, this.workgroupSize, !this.isChannelsLast, this.tileInner, false, null, this.sequentialAccessByThreads), t10 = this.isVec4 ? [this.innerElementSize, 4, 4] : [1, 1, 1]; + let e = this.isVec4 ? Tp(this.elementsPerThread, this.workgroupSize, !this.isChannelsLast, this.tileInner) : _p(this.elementsPerThread, this.workgroupSize, !this.isChannelsLast, this.tileInner, false, null, this.sequentialAccessByThreads), t10 = this.isVec4 ? [this.innerElementSize, 4, 4] : [1, 1, 1]; return ` - ${loe(this.isChannelsLast, this.fitAOuter, this.fitBOuter, this.fitInner, this.addBias, this.activation, this.hasPreluActivationWeights, t10[0], t10[1], t10[2])} + ${Eie(this.isChannelsLast, this.fitAOuter, this.fitBOuter, this.fitInner, this.addBias, this.activation, this.hasPreluActivationWeights, t10[0], t10[1], t10[2])} ${e} `; } }; -var jg = class { +var dx = class { constructor(e, t10 = false, o = null, n = false) { - this.variableNames = ["x", "W"], this.uniforms = "filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2,", this.workgroupSize = [4, 4, 8], this.outputShape = e.outShape, this.isChannelsLast = e.dataFormat === "channelsLast", this.dispatchLayout = this.isChannelsLast ? { x: [2], y: [1], z: [0, 3] } : { x: [3], y: [2], z: [0, 1] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.addBias = t10, this.activation = o, this.hasPreluActivationWeights = n, t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.shaderKey = `conv2dnaive_${this.activation}_${this.isChannelsLast}`; + this.variableNames = ["x", "W"], this.uniforms = "filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2,", this.workgroupSize = [4, 4, 8], this.outputShape = e.outShape, this.isChannelsLast = e.dataFormat === "channelsLast", this.dispatchLayout = this.isChannelsLast ? { x: [2], y: [1], z: [0, 3] } : { x: [3], y: [2], z: [0, 1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.addBias = t10, this.activation = o, this.hasPreluActivationWeights = n, t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.shaderKey = `conv2dnaive_${this.activation}_${this.isChannelsLast}`; } getUserCode() { return ` - ${pr(this.activation, this.hasPreluActivationWeights, false, 4)} + ${dr(this.activation, this.hasPreluActivationWeights, false, 4)} fn readInp(batch : i32, row : i32, col : i32, chan : i32) -> f32{ let coords = vec4(batch, row, col, chan); if (coordsInBounds4D(coords, uniforms.xShape)) { @@ -28688,11 +29704,11 @@ var jg = class { let coords = ${this.isChannelsLast ? "vec4(batch, row, col, chan);" : "vec4(batch, chan, row, col);"} if (coordsInBounds4D(coords, uniforms.outShape)) { var value = valueIn; - ${Gr(this.addBias, this.activation)} + ${jr(this.addBias, this.activation)} setOutputAtCoords(coords.x, coords.y, coords.z, coords.w, value); } } - ${Q("index")} { + ${K("index")} { let coords = getOutputCoords(); let batch = coords[0]; let outChannel = ${this.isChannelsLast ? "coords[3];" : "coords[1];"} @@ -28701,8 +29717,8 @@ var jg = class { var acc : f32 = 0.0; for (var row = 0; row < uniforms.filterDims[0]; row = row + 1) { for (var col = 0; col < uniforms.filterDims[1]; col = col + 1) { - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * row - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * col - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * row - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * col - uniforms.pads[1]; for (var xChannel = 0; xChannel < ${this.isChannelsLast ? "uniforms.xShape[3];" : "uniforms.xShape[1];"} xChannel = xChannel + 1) { ${this.isChannelsLast ? "let v = readInp(batch, xRow, xCol, xChannel);" : "let v = readInp(batch, xChannel, xRow, xCol);"} let f = readFilt(row, col, xChannel, outChannel); @@ -28715,27 +29731,27 @@ var jg = class { `; } }; -var Xg = class { +var fx = class { constructor(e, t10) { - this.variableNames = ["x"], this.uniforms = `pad : vec2, stride : vec2, dilation : vec2, outWidth : i32, itemsPerBlockRow : i32, - inChannels : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = t10, this.shaderKey = `im2col_${this.isChannelsLast}`; + this.variableNames = ["x"], this.uniforms = `pads : vec2, strides : vec2, dilations : vec2, outWidth : i32, itemsPerBlockRow : i32, + inChannels : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = t10, this.shaderKey = `im2col_${this.isChannelsLast}`; } getUserCode() { let e = this.isChannelsLast ? 1 : 2, t10 = this.isChannelsLast ? 2 : 3, o = this.isChannelsLast ? "coords[1]" : "coords[2]", n = this.isChannelsLast ? "coords[2]" : "coords[1]", s = this.isChannelsLast ? "getX(batch, xRow, xCol, ch)" : "getX(batch, ch, xRow, xCol)"; return ` - ${Q("index")} { + ${K("index")} { let coords = getCoordsFromIndex(index); if(index < uniforms.size) { let batch = coords[0]; let row = ${o}; let col = ${n}; - let offsetY = (row / uniforms.outWidth) * uniforms.stride[0] - uniforms.pad[0]; - let xRow = offsetY + uniforms.dilation[0] * (col / uniforms.itemsPerBlockRow); + let offsetY = (row / uniforms.outWidth) * uniforms.strides[0] - uniforms.pads[0]; + let xRow = offsetY + uniforms.dilations[0] * (col / uniforms.itemsPerBlockRow); var value = 0.0; if(xRow < uniforms.xShape[${e}] && xRow >= 0) { - let offsetX = (row % uniforms.outWidth) * uniforms.stride[1] - - uniforms.pad[1]; - let xCol = offsetX + uniforms.dilation[1] * ((col % + let offsetX = (row % uniforms.outWidth) * uniforms.strides[1] - + uniforms.pads[1]; + let xCol = offsetX + uniforms.dilations[1] * ((col % uniforms.itemsPerBlockRow) / uniforms.inChannels); let ch = col % uniforms.inChannels; if(xCol < uniforms.xShape[${t10}] && xCol >= 0) { @@ -28748,85 +29764,186 @@ var Xg = class { `; } }; -function Yg(r, e) { +function hx(r, e) { let t10 = r.length; return t10 >= 3 ? e ? [...r.slice(0, -3), r[t10 - 3] * r[t10 - 2], r[t10 - 1]] : [...r.slice(0, -3), r[t10 - 3], r[t10 - 2] * r[t10 - 1]] : !e && t10 === 1 && r[0] > 1 ? [r[0], 1] : null; } -function moe({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { +function Rie({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { let p = t10.dataFormat === "channelsLast", u = !p, c = false, l = p && t10.filterHeight === t10.inHeight && t10.filterWidth === t10.inWidth && t10.padInfo.type === "VALID", m = [], d, f; if (l) { let x = t10.inHeight * t10.inWidth * t10.inChannels; - d = me({ inputs: { x: r }, backend: o, attrs: { shape: [1, t10.batchSize, x] } }), f = me({ inputs: { x: e }, backend: o, attrs: { shape: [1, x, t10.outChannels] } }); + d = pe({ inputs: { x: r }, backend: o, attrs: { shape: [1, t10.batchSize, x] } }), f = pe({ inputs: { x: e }, backend: o, attrs: { shape: [1, x, t10.outChannels] } }); } else - d = me({ inputs: { x: r }, backend: o, attrs: { shape: p ? [t10.batchSize, t10.inHeight * t10.inWidth, t10.inChannels] : [t10.batchSize, t10.inChannels, t10.inHeight * t10.inWidth] } }), f = me({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }); + d = pe({ inputs: { x: r }, backend: o, attrs: { shape: p ? [t10.batchSize, t10.inHeight * t10.inWidth, t10.inChannels] : [t10.batchSize, t10.inChannels, t10.inHeight * t10.inWidth] } }), f = pe({ inputs: { x: e }, backend: o, attrs: { shape: [1, t10.inChannels, t10.outChannels] } }); if (m.push(d), m.push(f), s != null) { - let x = Yg(s.shape, p); - x != null && (s = me({ inputs: { x: s }, backend: o, attrs: { shape: x } }), m.push(s)); + let x = hx(s.shape, p); + x != null && (s = pe({ inputs: { x: s }, backend: o, attrs: { shape: x } }), m.push(s)); } if (n != null) { - let x = Yg(n.shape, p); - x != null && (n = me({ inputs: { x: n }, backend: o, attrs: { shape: x } }), m.push(n)); + let x = hx(n.shape, p); + x != null && (n = pe({ inputs: { x: n }, backend: o, attrs: { shape: x } }), m.push(n)); } - let h = Xu({ a: p ? d : f, b: p ? f : d, transposeA: u, transposeB: c, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), g = me({ inputs: { x: h }, backend: o, attrs: { shape: t10.outShape } }); + let h = $p({ a: p ? d : f, b: p ? f : d, transposeA: u, transposeB: c, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), g = pe({ inputs: { x: h }, backend: o, attrs: { shape: t10.outShape } }); m.push(h); for (let x of m) o.disposeData(x.dataId); return g; } -function doe({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { - let { filterWidth: p, filterHeight: u, inChannels: c, strideWidth: l, strideHeight: m, padInfo: d, outWidth: f, outHeight: h, dilationWidth: g, dilationHeight: x, dataFormat: b } = t10, C = b === "channelsLast", w = p * u * c, k = h * f, _ = C ? [t10.batchSize, k, w] : [t10.batchSize, w, k], E = new Xg(_, C), A = [{ type: "int32", data: [d.top, d.left] }, { type: "int32", data: [m, l] }, { type: "int32", data: [x, g] }, { type: "int32", data: [f] }, { type: "int32", data: [c * p] }, { type: "int32", data: [c] }], R = o.runWebGPUProgram(E, [r], r.dtype, A), D = []; - D.push(R); - let P = me({ inputs: { x: e }, backend: o, attrs: { shape: [1, w, -1] } }); - if (D.push(P), s != null) { - let U = Yg(s.shape, C); - U != null && (s = me({ inputs: { x: s }, backend: o, attrs: { shape: U } }), D.push(s)); +function Die({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { + let { filterWidth: p, filterHeight: u, inChannels: c, strideWidth: l, strideHeight: m, padInfo: d, outWidth: f, outHeight: h, dilationWidth: g, dilationHeight: x, dataFormat: b } = t10, w = b === "channelsLast", S = p * u * c, k = h * f, _ = w ? [t10.batchSize, k, S] : [t10.batchSize, S, k], E = new fx(_, w), R = [{ type: "int32", data: [d.top, d.left] }, { type: "int32", data: [m, l] }, { type: "int32", data: [x, g] }, { type: "int32", data: [f] }, { type: "int32", data: [c * p] }, { type: "int32", data: [c] }], D = o.runWebGPUProgram(E, [r], r.dtype, R), F = []; + F.push(D); + let O = pe({ inputs: { x: e }, backend: o, attrs: { shape: [1, S, -1] } }); + if (F.push(O), s != null) { + let U = hx(s.shape, w); + U != null && (s = pe({ inputs: { x: s }, backend: o, attrs: { shape: U } }), F.push(s)); } if (n != null) { - let U = Yg(n.shape, C); - U != null && (n = me({ inputs: { x: n }, backend: o, attrs: { shape: U } }), D.push(n)); + let U = hx(n.shape, w); + U != null && (n = pe({ inputs: { x: n }, backend: o, attrs: { shape: U } }), F.push(n)); } - let V = Xu({ a: C ? R : P, b: C ? P : R, transposeA: !C, transposeB: false, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), z = me({ inputs: { x: V }, backend: o, attrs: { shape: t10.outShape } }); - D.push(V); - for (let U of D) + let B = $p({ a: w ? D : O, b: w ? O : D, transposeA: !w, transposeB: false, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }), z = pe({ inputs: { x: B }, backend: o, attrs: { shape: t10.outShape } }); + F.push(B); + for (let U of F) o.disposeData(U.dataId); return z; } -function Qg({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { - let p = n != null, u = s != null, c = t10.dataFormat === "channelsLast", l = c && t10.filterHeight === t10.inHeight && t10.filterWidth === t10.inWidth && t10.padInfo.type === "VALID", m = O().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG"); +function gx({ x: r, filter: e, convInfo: t10, backend: o, bias: n = null, preluActivationWeights: s = null, leakyreluAlpha: a = 0, activation: i = null }) { + let p = n != null, u = s != null, c = t10.dataFormat === "channelsLast", l = c && t10.filterHeight === t10.inHeight && t10.filterWidth === t10.inWidth && t10.padInfo.type === "VALID", m = P().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG"); if (!m && (l || t10.filterHeight === 1 && t10.filterWidth === 1 && t10.dilationHeight === 1 && t10.dilationWidth === 1 && t10.strideHeight === 1 && t10.strideWidth === 1 && (t10.padInfo.type === "SAME" || t10.padInfo.type === "VALID"))) - return moe({ x: r, filter: e, convInfo: t10, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }); - let d = O().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"), f = d > 0 ? d : o.thresholdToIncreaseWorkgroups, h = t10.batchSize * Math.ceil(t10.outHeight * t10.outWidth / 32) * Math.ceil(t10.outChannels / 32); - if (O().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER") || h <= f) - return doe({ x: r, filter: e, convInfo: t10, backend: o, bias: n, preluActivationWeights: s, leakyreluAlpha: a, activation: i }); + return Rie({ x: r, filter: e, convInfo: t10, backend: o, bias: n, activation: i, preluActivationWeights: s, leakyreluAlpha: a }); + let d = P().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"), f = d > 0 ? d : o.thresholdToIncreaseWorkgroups, h = t10.batchSize * Math.ceil(t10.outHeight * t10.outWidth / 32) * Math.ceil(t10.outChannels / 32); + if (P().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER") || h <= f) + return Die({ x: r, filter: e, convInfo: t10, backend: o, bias: n, preluActivationWeights: s, leakyreluAlpha: a, activation: i }); let g, x = [t10.padInfo.top, t10.padInfo.left], b = [{ type: "int32", data: [t10.filterHeight, t10.filterWidth] }, { type: "int32", data: [...x] }, { type: "int32", data: [t10.strideHeight, t10.strideWidth] }, { type: "int32", data: [t10.dilationHeight, t10.dilationWidth] }]; if (m) - g = new jg(t10, p, i, u); + g = new dx(t10, p, i, u); else { - let _ = c ? t10.outHeight * t10.outWidth : t10.outChannels, E = c ? t10.outChannels : t10.outHeight * t10.outWidth, A = t10.filterHeight * t10.filterWidth * t10.inChannels; - b.push({ type: "int32", data: [_] }, { type: "int32", data: [E] }, { type: "int32", data: [A] }); - let R = o.adapterInfo.isIntel(); - g = new qg(t10, _, E, A, p, i, u, R); + let _ = c ? t10.outHeight * t10.outWidth : t10.outChannels, E = c ? t10.outChannels : t10.outHeight * t10.outWidth, R = t10.filterHeight * t10.filterWidth * t10.inChannels; + b.push({ type: "int32", data: [_] }, { type: "int32", data: [E] }, { type: "int32", data: [R] }); + let D = o.adapterInfo.isIntel(); + g = new mx(t10, _, E, R, p, i, u, D); } - let C = [], w = [r, e]; - p && (!c && n.shape.length === 1 && (n = me({ inputs: { x: n }, backend: o, attrs: { shape: [n.shape[0], 1, 1] } }), C.push(n)), w.push(n)), u && (!c && s.shape.length === 1 && (s = me({ inputs: { x: s }, backend: o, attrs: { shape: [s.shape[0], 1, 1] } }), C.push(s)), w.push(s)), i === "leakyrelu" && (b.push({ type: "float32", data: [a] }), g.uniforms += " alpha : f32,"); - let k = o.runWebGPUProgram(g, w, r.dtype, b); - for (let _ of C) + let w = [], S = [r, e]; + p && (!c && n.shape.length === 1 && (n = pe({ inputs: { x: n }, backend: o, attrs: { shape: [n.shape[0], 1, 1] } }), w.push(n)), S.push(n)), u && (!c && s.shape.length === 1 && (s = pe({ inputs: { x: s }, backend: o, attrs: { shape: [s.shape[0], 1, 1] } }), w.push(s)), S.push(s)), i === "leakyrelu" && (b.push({ type: "float32", data: [a] }), g.uniforms += " alpha : f32,"); + let k = o.runWebGPUProgram(g, S, r.dtype, b); + for (let _ of w) o.disposeData(_.dataId); return k; } -function foe(r) { - let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = t10, l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l); - return Qg({ x: n, filter: s, convInfo: m, backend: o }); +function Aie(r) { + let { inputs: e, attrs: t10, backend: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = t10, l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, s.shape, a, u, i, c, false, l); + return gx({ x: n, filter: s, convInfo: m, backend: o }); } -var oL = { kernelName: Uo, backendName: "webgpu", kernelFunc: foe }; -var Zg = class { +var Wz = { kernelName: en, backendName: "webgpu", kernelFunc: Aie }; +var xx = class { constructor(e) { - this.variableNames = ["dy", "W"], this.uniforms = "filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = e.dataFormat === "channelsLast", this.shaderKey = `conv2DDerInput_${this.isChannelsLast}`; + this.variableNames = ["dy", "W"], this.uniforms = "filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4,", this.workgroupSize = [64, 1, 1], this.size = false, this.isVec4 = false, this.workPerThread = 1, this.outputShape = e.inShape, this.isChannelsLast = e.dataFormat === "channelsLast", this.isVec4 = this.isChannelsLast && e.outChannels % 4 === 0 && e.inChannels % 4 === 0, this.isVec4 ? (this.workPerThread = 2, this.outputComponent = 4, this.workgroupSize = [4, 4, 4], this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [4, this.workPerThread, 1])) : (this.size = true, this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize)), this.shaderKey = `conv2DDerInput_${this.isChannelsLast}_${this.isVec4}_${this.workPerThread}`; } getUserCode() { - let e = this.isChannelsLast ? 1 : 2, t10 = this.isChannelsLast ? 2 : 3, o = this.isChannelsLast ? 3 : 1; - return ` - ${Q("index")} { + let e = this.isChannelsLast ? 1 : 2, t10 = this.isChannelsLast ? 2 : 3, o = this.isChannelsLast ? 3 : 1, n = ` + ${K()} { + let batch = i32(globalId.z) / uniforms.outShape[1]; + let r = i32(globalId.z) % uniforms.outShape[1]; + let c = i32(globalId.y) * ${this.workPerThread}; + let d1 = i32(globalId.x) * 4; + + let dyCorner = vec2(r, c) - uniforms.pads; + + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd: array, ${this.workPerThread}>; + for (var i = 0; i < ${this.workPerThread}; i++) { + dotProd[i] = vec4(0.0); + } + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { + let dyR = f32(dyCorner.x + wR) / f32(uniforms.strides.x); + let wRPerm = uniforms.filterDims.x - 1 - wR; + if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || + fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { + let dyC = f32(dyCorner.y + wC) / f32(uniforms.strides.y); + let dyC2 = f32(dyCorner.y + 1 + wC) / f32(uniforms.strides.y); + let wCPerm = uniforms.filterDims.y - 1 - wC; + var bDyCVal = true; + var bDyCVal2 = true; + if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || + fract(dyC) > 0.0) { + bDyCVal = false; + } + if (dyC2 < 0.0 || dyC2 >= f32(uniforms.outBackprop[2]) || + fract(dyC2) > 0.0) { + bDyCVal2 = false; + } + + let idyC = i32(dyC); + let idyC2 = i32(dyC2); + if (bDyCVal && bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + xValue = getDy(batch, idyR, idyC2, d2); + dotProd[1] = dotProd[1] + vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + } + } else if (bDyCVal) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + } + } else if (bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC2, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[1] = dotProd[1] + tmpval; + } + } + } + } + + for (var i = 0; i < ${this.workPerThread}; i = i + 1) { + let coords = vec4(batch, r, c + i, d1); + if (coordsInBounds4D(coords, uniforms.outShape)) { + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], dotProd[i]); + } + } + } + `; + return this.isVec4 ? ` + ${n} + ` : ` + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -28840,7 +29957,7 @@ var Zg = class { // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { - let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.stride.x); + let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.strides.x); let wRPerm = uniforms.filterDims.x - 1 - wR; if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || fract(dyR) > 0.0 || wRPerm < 0) { @@ -28849,7 +29966,7 @@ var Zg = class { let idyR = i32(dyR); for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { - let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.stride.y); + let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.strides.y); let wCPerm = uniforms.filterDims.y - 1 - wC; if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || fract(dyC) > 0.0 || wCPerm < 0) { @@ -28858,16 +29975,9 @@ var Zg = class { let idyC = i32(dyC); for (var d2 = 0; d2 < uniforms.outBackprop[3]; d2 = d2 + 1) { - if (${this.isChannelsLast}) { - let xValue = getDy(batch, idyR, idyC, d2); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } else { - let xValue = getDy(batch, d2, idyR, idyC); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } - + let xValue = ${this.isChannelsLast ? "getDy(batch, idyR, idyC, d2)" : "getDy(batch, d2, idyR, idyC)"}; + let wValue = getW(wRPerm, wCPerm, d1, d2); + dotProd = dotProd + xValue * wValue; } } } @@ -28877,13 +29987,13 @@ var Zg = class { `; } }; -var Jg = class { +var yx = class { constructor(e) { - this.variableNames = ["x", "dy"], this.uniforms = "pad : vec2, stride : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.filterShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = e.dataFormat === "channelsLast", this.shaderKey = `conv2DDerFilter_${this.isChannelsLast}`; + this.variableNames = ["x", "dy"], this.uniforms = "pads : vec2, strides : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.filterShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = e.dataFormat === "channelsLast", this.shaderKey = `conv2DDerFilter_${this.isChannelsLast}`; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let wR = coords[0]; @@ -28896,13 +30006,13 @@ var Jg = class { var dotProd = 0.0; for (var b = 0; b < uniforms.batchSize; b = b + 1) { for (var yR = 0; yR < uniforms.outHeight; yR = yR + 1) { - let xR = wR + yR * uniforms.stride[0] - uniforms.pad[0]; + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; if (xR < 0 || xR >= uniforms.inHeight) { continue; } for (var yC = 0; yC < uniforms.outWidth; yC = yC + 1) { - let xC = wC + yC * uniforms.stride[1] - uniforms.pad[1]; + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; if (xC < 0 || xC >= uniforms.inWidth) { continue; @@ -28926,12 +30036,123 @@ var Jg = class { `; } }; -function hoe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, filterShape: c } = o, l = S.convertConv2DDataFormat(p), m = S.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), d = new Jg(m), f = [{ type: "int32", data: [m.padInfo.top, m.padInfo.left] }, { type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.batchSize] }, { type: "int32", data: [m.outHeight] }, { type: "int32", data: [m.outWidth] }, { type: "int32", data: [m.inHeight] }, { type: "int32", data: [m.inWidth] }]; +var bx = class { + constructor(e) { + this.variableNames = ["x", "dy"], this.uniforms = `pads : vec3, strides : vec3, batchSize : i32, outDepth : i32, + outHeight : i32, outWidth : i32, inDepth : i32, inHeight : i32, inWidth : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.filterShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "conv3DDerFilter"; + } + getUserCode() { + return ` + ${K("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wF = coords.x; + let wR = coords.y; + let wC = coords.z; + let d1 = coords.w; + let d2 = coords.u; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yF = 0; yF < uniforms.outDepth; yF++) { + let xF = wF + yF * uniforms.strides[0] - uniforms.pads[0]; + if (xF < 0 || xF >= uniforms.inDepth) { + continue; + } + + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[1] - uniforms.pads[1]; + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[2] - uniforms.pads[2]; + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yF, yR, yC, d2); + let xValue = getX(b, xF, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +var Cx = class { + constructor(e) { + this.variableNames = ["dy", "W"], this.uniforms = `filterDims : vec3, pads : vec3, strides : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, outChannels : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "conv3DDerInput"; + } + getUserCode() { + return ` + ${K("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let d1 = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyFCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let dyF = f32(dyFCorner + wF) / f32(uniforms.strides[0]); + if (dyF < 0.0 || dyF >= f32(uniforms.outDepth) || fract(dyF) > 0.0) { + continue; + } + let idyF = i32(dyF); + + let wFPerm = uniforms.filterDims[0] - 1 - wF; + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + let wRPerm = uniforms.filterDims[1] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let wCPerm = uniforms.filterDims[2] - 1 - wC; + + for (var d2 = 0; d2 < uniforms.outChannels; d2++) { + let xValue = getDy(batch, idyF, idyR, idyC, d2); + let wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +function Fie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, dataFormat: p, dimRoundingMode: u, filterShape: c } = o, l = C.convertConv2DDataFormat(p), m = C.computeConv2DInfo(n.shape, c, a, 1, i, u, false, l), d = new yx(m), f = [{ type: "int32", data: [m.padInfo.top, m.padInfo.left] }, { type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.batchSize] }, { type: "int32", data: [m.outHeight] }, { type: "int32", data: [m.outWidth] }, { type: "int32", data: [m.inHeight] }, { type: "int32", data: [m.inWidth] }]; return t10.runWebGPUProgram(d, [n, s], n.dtype, f); } -var nL = { kernelName: oi, backendName: "webgpu", kernelFunc: hoe }; -function goe(r = 4) { +var Uz = { kernelName: $i, backendName: "webgpu", kernelFunc: Fie }; +function Pie(r = 4) { let e = (s) => { switch (s) { case 1: @@ -28957,13 +30178,13 @@ function goe(r = 4) { let WRow = col / (uniforms.filterDims[1] * uniforms.outBackprop[3]); let WCol = col / uniforms.outBackprop[3] % uniforms.filterDims[1]; - let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.stride[0]); - let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.stride[1]); + let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.strides[0]); + let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.strides[1]); if (xR < 0.0 || xR >= f32(uniforms.outBackprop[1]) || fract(xR) > 0.0) { - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } if (xC < 0.0 || xC >= f32(uniforms.outBackprop[2]) || fract(xC) > 0.0) { - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } let coord = vec4( batch, @@ -28972,14 +30193,14 @@ function goe(r = 4) { col % uniforms.outBackprop[3]); return x[getIndexFromCoords4D(coord, uniforms.xShape)/${r}];`} } - return ${kt(r)}(0.0);`; + return ${Ae(r)}(0.0);`; return ` - fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${kt(r)} { + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} { let col = colIn * ${r}; ${o} } - fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${kt(r)} { + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} { let col = colIn * ${r}; let coordX = uniforms.filterDims.x - 1 - row / (uniforms.filterDims[1] * uniforms.outBackprop[3]); @@ -28991,10 +30212,10 @@ function goe(r = 4) { let coord = vec4(coordX, coordY, col, rowInner); ${e(r)} } - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } - fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${kt(r)}) { + fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${Ae(r)}) { let col = colIn * ${r}; if (row < uniforms.dimAOuter && (col + ${r - 1}) < uniforms.dimBOuter) { var value = valueInput; @@ -29007,44 +30228,149 @@ function goe(r = 4) { } }`; } -var ex = class { +var wx = class { constructor(e) { - this.variableNames = ["x", "W"], this.uniforms = "filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.outputShape = e.inShape, y.assert(e.dataFormat === "channelsLast", () => "TODO: NCHW is unimplemented"), this.isVec4 = e.inChannels % 4 === 0 && e.outChannels % 4 === 0, this.dispatchLayout = { x: [3], y: [1, 2], z: [0] }, this.workgroupSize = Bl(this.dispatchLayout, this.outputShape, this.isVec4), this.elementsPerThread = Vl(this.dispatchLayout, this.outputShape, this.isVec4), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread), this.isVec4 && (this.variableTypes = ["vec4", "f32"]), this.shaderKey = `conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`; + this.variableNames = ["x", "W"], this.uniforms = "filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,", this.outputShape = e.inShape, y.assert(e.dataFormat === "channelsLast", () => "TODO: NCHW is unimplemented"), this.isVec4 = e.inChannels % 4 === 0 && e.outChannels % 4 === 0, this.dispatchLayout = { x: [3], y: [1, 2], z: [0] }, this.workgroupSize = im(this.dispatchLayout, this.outputShape, this.isVec4), this.elementsPerThread = um(this.dispatchLayout, this.outputShape, this.isVec4), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, this.elementsPerThread), this.isVec4 && (this.outputComponent = 4, this.variableComponents = [4, 1]), this.shaderKey = `conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`; } getUserCode() { - let e = this.isVec4 ? qu(this.elementsPerThread, this.workgroupSize) : ju(this.elementsPerThread, this.workgroupSize); + let e = this.isVec4 ? Tp(this.elementsPerThread, this.workgroupSize) : _p(this.elementsPerThread, this.workgroupSize); return ` - ${goe(this.isVec4 ? 4 : 1)} + ${Pie(this.isVec4 ? 4 : 1)} ${e} `; } }; -function xoe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { inputShape: a, strides: i, pad: p, dataFormat: u, dimRoundingMode: c } = o, l = S.convertConv2DDataFormat(u), m = S.computeConv2DInfo(a, s.shape, i, 1, p, c, false, l), d = [{ type: "int32", data: [m.filterHeight, m.filterWidth] }, { type: "int32", data: [m.filterHeight - 1 - m.padInfo.top, m.filterWidth - 1 - m.padInfo.left] }, { type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.batchSize, m.outHeight, m.outWidth, m.outChannels] }], f; - if (O().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE") || m.filterHeight <= 2 && m.filterWidth <= 2 && m.outChannels <= 16 && m.inChannels === 1) - f = new Zg(m); +function Oie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { inputShape: a, strides: i, pad: p, dataFormat: u, dimRoundingMode: c } = o, l = C.convertConv2DDataFormat(u), m = C.computeConv2DInfo(a, s.shape, i, 1, p, c, false, l), d = [{ type: "int32", data: [m.filterHeight, m.filterWidth] }, { type: "int32", data: [m.filterHeight - 1 - m.padInfo.top, m.filterWidth - 1 - m.padInfo.left] }, { type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.batchSize, m.outHeight, m.outWidth, m.outChannels] }], f; + if (P().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE") || m.dataFormat !== "channelsLast") + f = new xx(m); else { - f = new ex(m); + f = new wx(m); let h = m.inHeight * m.inWidth, g = m.inChannels, x = m.filterHeight * m.filterWidth * m.outChannels; d.push({ type: "uint32", data: [h] }, { type: "uint32", data: [g] }, { type: "uint32", data: [x] }); } return t10.runWebGPUProgram(f, [n, s], "float32", d); } -var sL = { kernelName: Go, backendName: "webgpu", kernelFunc: xoe }; -var yoe = xe({ opType: X.COS }); -var aL = { kernelName: Ho, backendName: "webgpu", kernelFunc: yoe }; -var boe = xe({ opType: X.COSH }); -var iL = { kernelName: Ko, backendName: "webgpu", kernelFunc: boe }; -var tx = class { +var Gz = { kernelName: tn, backendName: "webgpu", kernelFunc: Oie }; +var Sx = class { + constructor(e) { + this.variableNames = ["x", "W"], this.uniforms = "filterDims: vec3, pads: vec3, strides: vec3, dilations: vec3,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "conv3dnaive"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords.x; + let d2 = coords.u; + + let xFRCCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + + let inputDepthNearestVec4 = (uniforms.xShape.u / 4) * 4; + let inputDepthVec4Remainder = uniforms.xShape.u % 4; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= uniforms.xShape.y) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= uniforms.xShape.z) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= uniforms.xShape.w) { + continue; + } + + for (var d1 = 0; d1 < inputDepthNearestVec4; d1 += 4) { + let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3) + ); + let wValues = vec4( + getW(wF, wR, wC, d1, d2), + getW(wF, wR, wC, d1 + 1, d2), + getW(wF, wR, wC, d1 + 2, d2), + getW(wF, wR, wC, d1 + 3, d2) + ); + + dotProd += dot(xValues, wValues); + } + + if (inputDepthVec4Remainder == 1) { + dotProd += getX(batch, xF, xR, xC, inputDepthNearestVec4) * + getW(wF, wR, wC, inputDepthNearestVec4, d2); + } else if (inputDepthVec4Remainder == 2) { + let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1) + ); + let wValues = vec2( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2) + ); + dotProd += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2) + ); + let wValues = vec3( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 2, d2) + ); + dotProd += dot(xValues, wValues); + } + } + } + } + setOutputAtIndex(index, dotProd); + } + }`; + } +}; +function Mie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = C.computeConv3DInfo(n.shape, s.shape, a, p, i), c = [u.padInfo.front, u.padInfo.top, u.padInfo.left], l = [{ type: "int32", data: [u.filterDepth, u.filterHeight, u.filterWidth] }, { type: "int32", data: [...c] }, { type: "int32", data: [u.strideDepth, u.strideHeight, u.strideWidth] }, { type: "int32", data: [u.dilationDepth, u.dilationHeight, u.dilationWidth] }], m = new Sx(u), d = dt(n.dtype, s.dtype); + return t10.runWebGPUProgram(m, [n, s], d, l); +} +var Hz = { kernelName: rn, backendName: "webgpu", kernelFunc: Mie }; +function Lie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, pad: i, filterShape: p } = o, u = C.computeConv3DInfo(n.shape, p, a, 1, i), c = new bx(u), l = [{ type: "int32", data: [u.padInfo.front, u.padInfo.top, u.padInfo.left] }, { type: "int32", data: [u.strideDepth, u.strideHeight, u.strideWidth] }, { type: "int32", data: [u.batchSize] }, { type: "int32", data: [u.outDepth] }, { type: "int32", data: [u.outHeight] }, { type: "int32", data: [u.outWidth] }, { type: "int32", data: [u.inDepth] }, { type: "int32", data: [u.inHeight] }, { type: "int32", data: [u.inWidth] }]; + return t10.runWebGPUProgram(c, [n, s], s.dtype, l); +} +var Kz = { kernelName: za, backendName: "webgpu", kernelFunc: Lie }; +function Bie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { strides: a, pad: i, inputShape: p } = o, u = C.computeConv3DInfo(p, s.shape, a, 1, i), c = new Cx(u), l = [{ type: "int32", data: [u.filterDepth, u.filterHeight, u.filterWidth] }, { type: "int32", data: [u.filterDepth - 1 - u.padInfo.front, u.filterHeight - 1 - u.padInfo.top, u.filterWidth - 1 - u.padInfo.left] }, { type: "int32", data: [u.strideDepth, u.strideHeight, u.strideWidth] }, { type: "int32", data: [u.outDepth] }, { type: "int32", data: [u.outHeight] }, { type: "int32", data: [u.outWidth] }, { type: "int32", data: [u.outChannels] }]; + return t10.runWebGPUProgram(c, [n, s], n.dtype, l); +} +var qz = { kernelName: on, backendName: "webgpu", kernelFunc: Bie }; +var zie = xe({ opType: Q.COS }); +var jz = { kernelName: nn, backendName: "webgpu", kernelFunc: zie }; +var Vie = xe({ opType: Q.COSH }); +var Xz = { kernelName: sn, backendName: "webgpu", kernelFunc: Vie }; +var Ix = class { constructor(e, t10, o, n) { this.variableNames = ["Image", "Boxes", "BoxInd"], this.uniforms = "extrapolationValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true; let [s] = t10; - this.outputShape = [s, o[0], o[1], e], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.methodId = n === "bilinear" ? 1 : 0, this.cropHeightBiggerThan1 = this.outputShape[1] > 1, this.cropWidthBiggerThan1 = this.outputShape[2] > 1, this.shaderKey = `cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`; + this.outputShape = [s, o[0], o[1], e], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.methodId = n === "bilinear" ? 1 : 0, this.cropHeightBiggerThan1 = this.outputShape[1] > 1, this.cropWidthBiggerThan1 = this.outputShape[2] > 1, this.shaderKey = `cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`; } getUserCode() { let [e, t10] = ["f32(uniforms.imageShape[1] - 1)", "f32(uniforms.imageShape[2] - 1)"], [o, n, s] = this.cropHeightBiggerThan1 ? [`(${e} / f32(uniforms.outShape[1] - 1))`, "(y2-y1) * height_ratio", `y1*${e} + f32(y)*(height_scale)`] : ["0.0", "0.0", `0.5 * (y1+y2) * ${e}`], [a, i, p] = this.cropWidthBiggerThan1 ? [`(${t10} / f32(uniforms.outShape[2] - 1))`, "(x2-x1) * width_ratio", `x1*${t10} + f32(x)*(width_scale)`] : ["0.0", "0.0", `0.5 * (x1+x2) * ${t10}`]; return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let height_ratio = f32(${o}); @@ -29102,33 +30428,33 @@ var tx = class { `; } }; -var Coe = (r) => { - let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, c = new tx(n.shape[3], s.shape, i, p), l = [{ type: "float32", data: [u] }]; +var Wie = (r) => { + let { inputs: e, backend: t10, attrs: o } = r, { image: n, boxes: s, boxInd: a } = e, { cropSize: i, method: p, extrapolationValue: u } = o, c = new Ix(n.shape[3], s.shape, i, p), l = [{ type: "float32", data: [u] }]; return t10.runWebGPUProgram(c, [n, s, a], "float32", l); }; -var uL = { kernelName: Xo, backendName: "webgpu", kernelFunc: Coe }; -var Zu; +var Yz = { kernelName: pn, backendName: "webgpu", kernelFunc: Wie }; +var Rp; (function(r) { r.Prod = "*", r.Sum = "+"; -})(Zu || (Zu = {})); -var Kl = class { +})(Rp || (Rp = {})); +var dm = class { constructor(e, t10, o, n) { - this.variableNames = ["x"], this.uniforms = "index : f32,", this.size = true, this.workgroupSize = [128, 1, 1], this.outputShape = t10, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.exclusive = o, this.reverse = n, this.op = e, this.shaderKey = `cum_${this.op}_${this.exclusive}_${this.reverse}`; + this.variableNames = ["x"], this.uniforms = "index : f32,", this.size = true, this.workgroupSize = [128, 1, 1], this.outputShape = t10, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.exclusive = o, this.reverse = n, this.op = e, this.shaderKey = `cum_${this.op}_${this.exclusive}_${this.reverse}`; } getUserCode() { - let e = this.outputShape.length, t10 = this.op === Zu.Prod ? "1.0" : "0.0", o = this.exclusive ? t10 : `getX(${pL(e, "coords", this.op)})`, n = this.outputShape[this.outputShape.length - 1], s = "", a = ""; + let e = this.outputShape.length, t10 = this.op === Rp.Prod ? "1.0" : "0.0", o = this.exclusive ? t10 : `getX(${Qz(e, "coords", this.op)})`, n = this.outputShape[this.outputShape.length - 1], s = "", a = ""; return this.exclusive ? (s = this.reverse ? `end != ${n - 1}` : "end != 0", a = this.reverse ? "end + 1" : "end - 1") : (s = this.reverse ? `end + pow2 < ${n}` : "end >= pow2", a = this.reverse ? "end + pow2" : "end - pow2"), ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { var coords = getCoordsFromIndex(index); - let end = ${cL(e, "coords", this.op)}; + let end = ${Zz(e, "coords", this.op)}; var val = ${o}; let pow2 = i32(pow(2.0, uniforms.index)); if (${s}) { let idx = ${a}; - ${cL(e, "coords", this.op)} = idx; - val ${this.op}= getX(${pL(e, "coords", this.op)}); + ${Zz(e, "coords", this.op)} = idx; + val ${this.op}= getX(${Qz(e, "coords", this.op)}); } setOutputAtIndex(index, val); } @@ -29136,7 +30462,7 @@ var Kl = class { `; } }; -function pL(r, e, t10) { +function Qz(r, e, t10) { if (r === 1) return `${e}`; if (r === 2) @@ -29147,7 +30473,7 @@ function pL(r, e, t10) { return `${e}.x, ${e}.y, ${e}.z, ${e}.w`; throw Error(`Cumulative ${t10} for rank ${r} is not yet supported`); } -function cL(r, e, t10) { +function Zz(r, e, t10) { if (r === 1) return `${e}`; if (r === 2) @@ -29158,49 +30484,49 @@ function cL(r, e, t10) { return `${e}.w`; throw Error(`Cumulative ${t10} for rank ${r} is not yet supported`); } -function rx(r, e, t10, o, n, s) { - let a = e.shape.length, i = S.getAxesPermutation([o], a), p = e; - i != null && (p = Nr({ inputs: { x: e }, backend: t10, attrs: { perm: i } })); - let u = S.getInnerMostAxes(1, a)[0]; +function vx(r, e, t10, o, n, s) { + let a = e.shape.length, i = C.getAxesPermutation([o], a), p = e; + i != null && (p = rr({ inputs: { x: e }, backend: t10, attrs: { perm: i } })); + let u = C.getInnerMostAxes(1, a)[0]; if (u !== a - 1) throw new Error(`WebGPU cumprod shader expects an inner-most axis=${e.shape.length - 1} but got axis=${o}`); - let c = p.shape[u], l = Dt({ inputs: { x: p }, backend: t10 }); + let c = p.shape[u], l = At({ inputs: { x: p }, backend: t10 }); for (let m = 0; m <= Math.ceil(Math.log2(c)) - 1; m++) { - let d = new Kl(r, p.shape, false, s), f = l, h = [{ type: "float32", data: [m] }]; + let d = new dm(r, p.shape, false, s), f = l, h = [{ type: "float32", data: [m] }]; l = t10.runWebGPUProgram(d, [l], l.dtype, h), t10.disposeData(f.dataId); } if (n) { - let m = new Kl(r, p.shape, n, s), d = l, f = [{ type: "float32", data: [0] }]; + let m = new dm(r, p.shape, n, s), d = l, f = [{ type: "float32", data: [0] }]; l = t10.runWebGPUProgram(m, [l], l.dtype, f), t10.disposeData(d.dataId); } if (i != null) { - let m = S.getUndoAxesPermutation(i), d = Nr({ inputs: { x: l }, backend: t10, attrs: { perm: m } }); + let m = C.getUndoAxesPermutation(i), d = rr({ inputs: { x: l }, backend: t10, attrs: { perm: m } }); return t10.disposeData(l.dataId), t10.disposeData(p.dataId), d; } return l; } -function Soe(r) { +function Uie(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - return rx(Zu.Prod, n, t10, s, a, i); + return vx(Rp.Prod, n, t10, s, a, i); } -var lL = { kernelName: qo, backendName: "webgpu", kernelFunc: Soe }; -function woe(r) { +var Jz = { kernelName: an, backendName: "webgpu", kernelFunc: Uie }; +function Gie(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, exclusive: a, reverse: i } = o; - return rx(Zu.Sum, n, t10, s, a, i); + return vx(Rp.Sum, n, t10, s, a, i); } -var mL = { kernelName: jo, backendName: "webgpu", kernelFunc: woe }; -function Ioe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a, binaryOutput: i } = o, p = n.shape.length === 1, c = y.sizeFromShape(s.shape) > 0, l = s.dtype, m = p ? [n.shape[0]] : [n.shape[0], n.shape[1]], d = p ? [a] : [n.shape[0], a], f = fr({ backend: t10, attrs: { shape: d, value: 0, dtype: l } }), h = new Tc(m, c, i), g = [{ type: "int32", data: [a] }], x = c ? [n, s] : [n]; +var eV = { kernelName: un, backendName: "webgpu", kernelFunc: Gie }; +function Hie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, weights: s } = e, { size: a, binaryOutput: i } = o, p = n.shape.length === 1, c = y.sizeFromShape(s.shape) > 0, l = s.dtype, m = p ? [n.shape[0]] : [n.shape[0], n.shape[1]], d = p ? [a] : [n.shape[0], a], f = Vt({ backend: t10, attrs: { shape: d, value: 0, dtype: l } }), h = new jc(m, c, i), g = [{ type: "int32", data: [a] }], x = c ? [n, s] : [n]; return t10.runWebGPUProgram(h, x, l, g, f); } -var dL = { kernelName: ni, backendName: "webgpu", kernelFunc: Ioe }; -var ox = class { +var tV = { kernelName: Qs, backendName: "webgpu", kernelFunc: Hie }; +var kx = class { constructor(e, t10) { - this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.uniforms = "blockSize : i32,", this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `depthToSpace_${t10}`, this.dataFormat = t10; + this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.uniforms = "blockSize : i32,", this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `depthToSpace_${t10}`, this.dataFormat = t10; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -29237,19 +30563,19 @@ var ox = class { return this.dataFormat === "NHWC" ? "getX(b, in_h, in_w, in_d)" : "getX(b, in_d, in_h, in_w)"; } }; -function voe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = [{ type: "int32", data: [s] }], g = new ox(f, a); +function Kie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockSize: s, dataFormat: a } = o, i = n.shape[0], p = a === "NHWC" ? n.shape[1] : n.shape[2], u = a === "NHWC" ? n.shape[2] : n.shape[3], c = a === "NHWC" ? n.shape[3] : n.shape[1], l = p * s, m = u * s, d = c / (s * s), f = a === "NHWC" ? [i, l, m, d] : [i, d, l, m], h = [{ type: "int32", data: [s] }], g = new kx(f, a); return t10.runWebGPUProgram(g, [n], n.dtype, h); } -var fL = { kernelName: Yo, backendName: "webgpu", kernelFunc: voe }; -var nx = class { +var rV = { kernelName: cn, backendName: "webgpu", kernelFunc: Kie }; +var Nx = class { constructor(e, t10, o, n = false, s = null, a = false) { - this.variableNames = ["x", "W"], this.uniforms = "pad : vec2, inDims : vec2,", this.workgroupSize = [16, 16, 1], this.outputShape = e, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), n && this.variableNames.push("bias"), a && this.variableNames.push("preluActivationWeights"), this.addBias = n, this.activation = s, this.hasPreluActivation = a, this.filterHeight = t10, this.filterWidth = o, this.shaderKey = `depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`; + this.variableNames = ["x", "W"], this.uniforms = "pads : vec2, inDims : vec2,", this.workgroupSize = [16, 16, 1], this.outputShape = e, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), n && this.variableNames.push("bias"), a && this.variableNames.push("preluActivationWeights"), this.addBias = n, this.activation = s, this.hasPreluActivation = a, this.filterHeight = t10, this.filterWidth = o, this.shaderKey = `depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`; } getUserCode() { let e = this.filterWidth * this.filterHeight, t10 = this.workgroupSize[0] * this.workgroupSize[1] * this.workgroupSize[2], o = this.workgroupSize[1] + this.filterHeight - 1, n = this.workgroupSize[0] + this.filterWidth - 1; return ` - ${pr(this.activation, this.hasPreluActivation, false, 4)} + ${dr(this.activation, this.hasPreluActivation, false, 4)} var mm_Asub : array, ${o}>; var mm_Bsub : array, ${this.filterHeight}>; @@ -29262,10 +30588,10 @@ var nx = class { return value; } - ${Q()} { + ${K()} { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.zw) - uniforms.pad; + let xRCCorner = vec2(coords.zw) - uniforms.pads; let channelMul = uniforms.wShape[3]; let d1 = coords[1] / channelMul; let q = coords[1] % channelMul; @@ -29305,7 +30631,7 @@ var nx = class { value = fma(xVal, wVal, value); } } - ${Gr(this.addBias, this.activation)} + ${jr(this.addBias, this.activation)} if (coordsInBounds4D(coords, uniforms.outShape)) { setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } @@ -29313,14 +30639,14 @@ var nx = class { `; } }; -var $c = class { +var Yc = class { constructor(e, t10 = false, o = null, n = false) { - this.variableNames = ["x", "W"], this.uniforms = "pad : vec2, inDims : vec2,", this.workgroupSize = [4, 4, 4], this.workPerThread = 4, this.isVec4 = true, this.outputShape = e.outShape, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [4, this.workPerThread, 1]), y.assert(e.dataFormat === "channelsLast", () => "TODO: NCHW is unimplemented"), t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.convInfo = e, this.addBias = t10, this.activation = o, this.hasPreluActivation = n, this.shaderKey = `depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`; + this.variableNames = ["x", "W"], this.uniforms = "pads : vec2, inDims : vec2,", this.workgroupSize = [4, 4, 4], this.workPerThread = 4, this.outputComponent = 4, this.outputShape = e.outShape, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [4, this.workPerThread, 1]), y.assert(e.dataFormat === "channelsLast", () => "TODO: NCHW is unimplemented"), t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.convInfo = e, this.addBias = t10, this.activation = o, this.hasPreluActivation = n, this.shaderKey = `depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`; } getUserCode() { let e = (this.workPerThread - 1) * this.convInfo.strideWidth + this.convInfo.filterWidth, t10 = this.convInfo.strideHeight, o = this.convInfo.strideWidth; return ` - ${pr(this.activation, this.hasPreluActivation, true, 4)} + ${dr(this.activation, this.hasPreluActivation, true, 4)} fn readX(batch : i32, row : i32, col : i32, channel : i32) -> vec4 { var value = vec4(0.0); if (col >=0 && col < uniforms.inDims[1]) { @@ -29329,12 +30655,12 @@ var $c = class { return value; } - ${Q()} { + ${K()} { let batch = i32(globalId.z) / uniforms.outShape[1]; let r = i32(globalId.z) % uniforms.outShape[1]; let c = i32(globalId.y) * ${this.workPerThread}; let d1 = i32(globalId.x) * 4; - let xRCCorner = vec2(r, c) * vec2(${t10}, ${o}) - uniforms.pad; + let xRCCorner = vec2(r, c) * vec2(${t10}, ${o}) - uniforms.pads; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -29364,7 +30690,7 @@ var $c = class { let coords = vec4(batch, r, c + i, d1); if (coordsInBounds4D(coords, uniforms.outShape)) { var value = dotProd[i]; - ${Gr(this.addBias, this.activation)} + ${jr(this.addBias, this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } @@ -29372,21 +30698,21 @@ var $c = class { `; } }; -var Ec = class { +var Qc = class { constructor(e, t10 = false, o = null, n = false) { - this.variableNames = ["x", "W"], this.uniforms = `pad : vec2, inDims : vec2, filterHeight : i32, - filterWidth : i32, stride : vec2, dilation : vec2,`, this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = e.dataFormat === "channelsLast", t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.convInfo = e, this.addBias = t10, this.activation = o, this.hasPreluActivation = n, this.shaderKey = `depthwise_${this.activation}_${this.isChannelsLast}`; + this.variableNames = ["x", "W"], this.uniforms = `pads : vec2, inDims : vec2, filterHeight : i32, + filterWidth : i32, strides : vec2, dilations : vec2,`, this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.isChannelsLast = e.dataFormat === "channelsLast", t10 && this.variableNames.push("bias"), n && this.variableNames.push("preluActivationWeights"), this.convInfo = e, this.addBias = t10, this.activation = o, this.hasPreluActivation = n, this.shaderKey = `depthwise_${this.activation}_${this.isChannelsLast}`; } getUserCode() { let e = this.isChannelsLast ? "getX(batch, xR, xC, d1);" : "getX(batch, d1, xR, xC);"; return ` - ${pr(this.activation, this.hasPreluActivation, false, 4)} + ${dr(this.activation, this.hasPreluActivation, false, 4)} - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.${this.isChannelsLast ? "yz" : "zw"}) * uniforms.stride - uniforms.pad; + let xRCCorner = vec2(coords.${this.isChannelsLast ? "yz" : "zw"}) * uniforms.strides - uniforms.pads; let d2 = coords[${this.isChannelsLast ? 3 : 1}]; let channelMul = uniforms.wShape[3]; let d1 = d2 / channelMul; @@ -29395,9 +30721,9 @@ var Ec = class { let inputRowStart = xRCCorner.x; let inputColStart = xRCCorner.y; let inputRowEnd = inputRowStart + uniforms.filterHeight * - uniforms.dilation[0]; + uniforms.dilations[0]; let inputColEnd = inputColStart + uniforms.filterWidth * - uniforms.dilation[1]; + uniforms.dilations[1]; // Convolve x(?, ?, d1)|x(d1, ?, ?) with w(:, :, d1, q) to get // y(yR, yC, d2)|y(d2, yR, yC). ? = to be determined. : = across all @@ -29410,10 +30736,10 @@ var Ec = class { inputRowEnd < uniforms.inDims[0] && inputColEnd < uniforms.inDims[1]) { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; let xVal = ${e}; let wVal = getW(wR, wC, d1, q); @@ -29422,14 +30748,14 @@ var Ec = class { } } else { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; if (xR < 0 || xR >= uniforms.inDims[0]) { continue; } for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; if (xC < 0 || xC >= uniforms.inDims[1]) { continue; @@ -29441,27 +30767,132 @@ var Ec = class { } } } - ${Gr(this.addBias, this.activation)} + ${jr(this.addBias, this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } `; } }; -function koe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = o, l = S.convertConv2DDataFormat(p), m = u; +function qie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dataFormat: p, dilations: u, dimRoundingMode: c } = o, l = C.convertConv2DDataFormat(p), m = u; m == null && (m = [1, 1]); - let d = S.computeConv2DInfo(n.shape, s.shape, a, m, i, c, true, l), f = [{ type: "int32", data: [d.padInfo.top, d.padInfo.left] }, { type: "int32", data: [d.inHeight, d.inWidth] }], h = d.dataFormat === "channelsLast", g; - return !h && d.inHeight > 16 && d.inWidth > 16 && d.strideHeight === 1 && d.strideWidth === 1 && d.dilationWidth === 1 && d.dilationHeight === 1 && d.inChannels === d.outChannels ? g = new nx(d.outShape, d.filterHeight, d.filterWidth) : h && d.outHeight > 4 && d.outWidth > 4 && d.strideWidth <= 2 && d.inChannels === d.outChannels && d.dilationHeight === 1 && d.dilationWidth === 1 && d.inChannels % 4 === 0 ? g = new $c(d) : (g = new Ec(d), f.push({ type: "int32", data: [d.filterHeight] }, { type: "int32", data: [d.filterWidth] }, { type: "int32", data: [d.strideHeight, d.strideWidth] }, { type: "int32", data: [d.dilationHeight, d.dilationWidth] })), t10.runWebGPUProgram(g, [n, s], n.dtype, f); + let d = C.computeConv2DInfo(n.shape, s.shape, a, m, i, c, true, l), f = [{ type: "int32", data: [d.padInfo.top, d.padInfo.left] }, { type: "int32", data: [d.inHeight, d.inWidth] }], h = d.dataFormat === "channelsLast", g; + return !h && d.inHeight > 16 && d.inWidth > 16 && d.strideHeight === 1 && d.strideWidth === 1 && d.dilationWidth === 1 && d.dilationHeight === 1 && d.inChannels === d.outChannels ? g = new Nx(d.outShape, d.filterHeight, d.filterWidth) : h && d.outHeight > 4 && d.outWidth > 4 && d.strideWidth <= 2 && d.inChannels === d.outChannels && d.dilationHeight === 1 && d.dilationWidth === 1 && d.inChannels % 4 === 0 ? g = new Yc(d) : (g = new Qc(d), f.push({ type: "int32", data: [d.filterHeight] }, { type: "int32", data: [d.filterWidth] }, { type: "int32", data: [d.strideHeight, d.strideWidth] }, { type: "int32", data: [d.dilationHeight, d.dilationWidth] })), t10.runWebGPUProgram(g, [n, s], n.dtype, f); } -var hL = { kernelName: Qo, backendName: "webgpu", kernelFunc: koe }; -var sx = class { +var oV = { kernelName: ln, backendName: "webgpu", kernelFunc: qie }; +var Tx = class { constructor(e) { - this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e, e], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "diag"; + this.variableNames = ["x", "dy"], this.uniforms = `strides : vec2, pads : vec2, filterDims : vec2, outHeight : i32, + outWidth : i32, inHeight : i32, inWidth : i32, batchSize : i32, channelMul : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.filterShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "depthwise_conv2d_backprop_filter"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wR = coords[0]; + let wC = coords[1]; + let d1 = coords[2]; + let dm = coords[3]; + let d2 = d1 * uniforms.channelMul + dm; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; + + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; + + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yR, yC, d2); + let xValue = getX(b, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +var _x = class { + constructor(e) { + this.variableNames = ["dy", "W"], this.uniforms = `strides : vec2, pads : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, channelMul : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "depthwise_conv2d_backprop_input"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d1 = coords[3]; + let dyCorner = coords.yz - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + + var dotProd = 0.0; + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + + let idyR = i32(dyR); + let wRPerm = uniforms.filterDims[0] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + + let idyC = i32(dyC); + let wCPerm = uniforms.filterDims[1] - 1 - wC; + + for (var dm = 0; dm < uniforms.channelMul; dm++) { + let d2 = d1 * uniforms.channelMul + dm; + let xValue = getDy(batch, idyR, idyC, d2); + let wValue = getW(wRPerm, wCPerm, d1, dm); + dotProd += xValue * wValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +function jie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, dy: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, filterShape: c } = o, l = C.computeConv2DInfo(n.shape, c, a, i, p, u, true), m = new Tx(l), d = [{ type: "int32", data: [l.strideHeight, l.strideWidth] }, { type: "int32", data: [l.padInfo.top, l.padInfo.left] }, { type: "int32", data: [l.filterHeight, l.filterWidth] }, { type: "int32", data: [l.outHeight] }, { type: "int32", data: [l.outWidth] }, { type: "int32", data: [l.inHeight] }, { type: "int32", data: [l.inWidth] }, { type: "int32", data: [l.batchSize] }, { type: "int32", data: [l.outChannels / l.inChannels] }]; + return t10.runWebGPUProgram(m, [n, s], "float32", d); +} +var nV = { kernelName: Ei, backendName: "webgpu", kernelFunc: jie }; +function Xie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, filter: s } = e, { strides: a, dilations: i, pad: p, dimRoundingMode: u, inputShape: c } = o, l = C.computeConv2DInfo(c, s.shape, a, i, p, u, true), m = new _x(l), d = [{ type: "int32", data: [l.strideHeight, l.strideWidth] }, { type: "int32", data: [l.filterHeight - 1 - l.padInfo.top, l.filterWidth - 1 - l.padInfo.left] }, { type: "int32", data: [l.filterHeight, l.filterWidth] }, { type: "int32", data: [l.outHeight] }, { type: "int32", data: [l.outWidth] }, { type: "int32", data: [l.outChannels / l.inChannels] }]; + return t10.runWebGPUProgram(m, [n, s], n.dtype, d); +} +var sV = { kernelName: Ri, backendName: "webgpu", kernelFunc: Xie }; +var $x = class { + constructor(e) { + this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e, e], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "diag"; + } + getUserCode() { + return ` + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let value = select(0.0, getX(coords[0]), coords[0] == coords[1]); @@ -29471,34 +30902,34 @@ var sx = class { `; } }; -function Noe(r) { - let { inputs: e, backend: t10 } = r, { x: o } = e, n = [...o.shape, ...o.shape], s = y.sizeFromShape(o.shape), a = me({ inputs: { x: o }, backend: t10, attrs: { shape: [s] } }), i = new sx(s), p = t10.runWebGPUProgram(i, [a], a.dtype), u = me({ inputs: { x: p }, backend: t10, attrs: { shape: n } }); +function Yie(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e, n = [...o.shape, ...o.shape], s = y.sizeFromShape(o.shape), a = pe({ inputs: { x: o }, backend: t10, attrs: { shape: [s] } }), i = new $x(s), p = t10.runWebGPUProgram(i, [a], a.dtype), u = pe({ inputs: { x: p }, backend: t10, attrs: { shape: n } }); return t10.disposeData(a.dataId), t10.disposeData(p.dataId), u; } -var gL = { kernelName: si, backendName: "webgpu", kernelFunc: Noe }; -var ax = class { +var aV = { kernelName: Zs, backendName: "webgpu", kernelFunc: Yie }; +var Ex = class { constructor(e) { - this.variableNames = ["x", "w"], this.uniforms = "filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "dilation2d"; + this.variableNames = ["x", "w"], this.uniforms = "filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.outShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "dilation2d"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let neg_infinity = -3.4e38; let coords = getOutputCoords(); let batch = coords.x; let d1 = coords.w; - let outTopLeftCorner = coords.yz * uniforms.stride - uniforms.pad; + let outTopLeftCorner = coords.yz * uniforms.strides - uniforms.pads; let hBeg = outTopLeftCorner.x; let wBeg = outTopLeftCorner.y; var curVal = neg_infinity; for (var h = 0; h < uniforms.filterDims[0]; h = h + 1) { - let hIn = hBeg + h * uniforms.dilation[0]; + let hIn = hBeg + h * uniforms.dilations[0]; if (hIn >= 0 && hIn < uniforms.xShape[1]) { for (var w = 0; w < uniforms.filterDims[1]; w = w + 1) { - let wIn = wBeg + w * uniforms.dilation[1]; + let wIn = wBeg + w * uniforms.dilations[1]; if (wIn >= 0 && wIn < uniforms.xShape[2]) { let val = getX(batch, hIn, wIn, d1) + getW(h, w, d1); @@ -29516,56 +30947,178 @@ var ax = class { `; } }; -function Toe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = S.computeDilation2DInfo(n.shape, s.shape, a, i, "NHWC", p), c = [u.padInfo.top, u.padInfo.left], l = [{ type: "int32", data: [u.filterHeight, u.filterWidth] }, { type: "int32", data: [...c] }, { type: "int32", data: [u.strideHeight, u.strideWidth] }, { type: "int32", data: [u.dilationHeight, u.dilationWidth] }], m = new ax(u); +function Qie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s } = e, { strides: a, pad: i, dilations: p } = o, u = C.computeDilation2DInfo(n.shape, s.shape, a, i, "NHWC", p), c = [u.padInfo.top, u.padInfo.left], l = [{ type: "int32", data: [u.filterHeight, u.filterWidth] }, { type: "int32", data: [...c] }, { type: "int32", data: [u.strideHeight, u.strideWidth] }, { type: "int32", data: [u.dilationHeight, u.dilationWidth] }], m = new Ex(u); return t10.runWebGPUProgram(m, [n, s], n.dtype, l); } -var xL = { kernelName: ai, backendName: "webgpu", kernelFunc: Toe }; -var II = Ze({ opType: ge.MUL, cpuKernelImpl: lM, supportsComplex: true }); -var yL = { kernelName: kn, backendName: "webgpu", kernelFunc: II }; -function ql(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - return Kr(n, s, a, "sum", t10); +var iV = { kernelName: mn, backendName: "webgpu", kernelFunc: Qie }; +var Rx = class { + constructor(e, t10) { + if (this.variableNames = ["x", "w", "dy"], this.uniforms = "filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,", this.workgroupSize = [64, 1, 1], this.atomic = true, this.outputShape = e.inShape, this.dispatchLayout = Z(e.outShape), this.dispatch = q(this.dispatchLayout, e.outShape, this.workgroupSize), t10 !== "float32" && t10 !== "int32") + throw new Error(`Dilation2DBackpropInput only supports float32 and int32 + types, does not support ${t10} type.`); + this.type = t10, this.shaderKey = "dilation2DBackpropInput"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var xRMax = 0; + var xCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + xRMax = xR; + xCMax = xC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.xShape[3] * + (xCMax + uniforms.xShape[2] * (xRMax + uniforms.xShape[1] * b)); + let value = getDy(b, r, c, d); + ${Bs("&result[flatIndexIn]", "value", this.type)} + } + } + `; + } +}; +var Dx = class { + constructor(e, t10, o) { + if (this.variableNames = ["x", "w", "dy"], this.uniforms = "filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,", this.workgroupSize = [64, 1, 1], this.atomic = true, this.outputShape = e.filterShape, this.dispatchLayout = Z(e.outShape), this.dispatch = q(this.dispatchLayout, e.outShape, this.workgroupSize), o !== "float32" && o !== "int32") + throw new Error(`Dilation2DBackpropFilter only supports float32 and int32 + types, does not support ${o} type.`); + this.type = o, this.shaderKey = "dilation2DBackpropFilter"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var wRMax = 0; + var wCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + wRMax = wR; + wCMax = wC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.wShape[2] * (wCMax + wRMax * uniforms.wShape[1]); + let value = getDy(b, r, c, d); + ${Bs("&result[flatIndexIn]", "value", this.type)} + } + } + `; + } +}; +function Zie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, dy: a } = e, { strides: i, pad: p, dilations: u } = o, c = C.computeDilation2DInfo(n.shape, s.shape, i, p, "NHWC", u), l = s.dtype, m = new Dx(c, s.shape, l), d = [{ type: "int32", data: [c.filterHeight, c.filterWidth] }, { type: "int32", data: [c.padInfo.top, c.padInfo.left] }, { type: "int32", data: [c.strideHeight, c.strideWidth] }, { type: "int32", data: [c.dilationHeight, c.dilationWidth] }, { type: "int32", data: [y.sizeFromShape(c.outShape)] }], f = Vt({ backend: t10, attrs: { shape: s.shape, value: 0, dtype: l } }); + return t10.runWebGPUProgram(m, [n, s, a], l, d, f); } -var bL = { kernelName: Kn, backendName: "webgpu", kernelFunc: ql }; -function _oe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = S.decodeEinsumEquation(n, s.length); - S.checkEinsumDimSizes(a.length, p, s); - let { path: u, steps: c } = S.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; +var uV = { kernelName: Ai, backendName: "webgpu", kernelFunc: Zie }; +function Jie(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, dy: a } = e, { strides: i, pad: p, dilations: u } = o, c = C.computeDilation2DInfo(n.shape, s.shape, i, p, "NHWC", u), l = n.dtype, m = new Rx(c, l), d = [{ type: "int32", data: [c.filterHeight, c.filterWidth] }, { type: "int32", data: [c.padInfo.top, c.padInfo.left] }, { type: "int32", data: [c.strideHeight, c.strideWidth] }, { type: "int32", data: [c.dilationHeight, c.dilationWidth] }, { type: "int32", data: [y.sizeFromShape(c.outShape)] }], f = Vt({ backend: t10, attrs: { shape: c.inShape, value: 0, dtype: l } }); + return t10.runWebGPUProgram(m, [n, s, a], l, d, f); +} +var pV = { kernelName: Di, backendName: "webgpu", kernelFunc: Jie }; +var Wv = et({ opType: fe.MUL, cpuKernelImpl: HB, supportsComplex: true }); +var cV = { kernelName: Kn, backendName: "webgpu", kernelFunc: Wv }; +function Uv(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; + return Yr(n, s, a, "sum", t10); +} +var lV = { kernelName: ys, backendName: "webgpu", kernelFunc: Uv }; +function eue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { equation: n } = o, s = e, { allDims: a, summedDims: i, idDims: p } = C.decodeEinsumEquation(n, s.length); + C.checkEinsumDimSizes(a.length, p, s); + let { path: u, steps: c } = C.getEinsumComputePath(i, p), l = c.length, m = null, d = a.length, f = []; for (let h = 0; h < l; ++h) { for (let g of c[h]) { - let { permutationIndices: x, expandDims: b } = S.getEinsumPermutation(d, p[g]), C; - S.isIdentityPermutation(x) ? C = s[g] : (C = Nr({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(C)); - let w = C.shape.slice(); + let { permutationIndices: x, expandDims: b } = C.getEinsumPermutation(d, p[g]), w; + C.isIdentityPermutation(x) ? w = s[g] : (w = rr({ inputs: { x: s[g] }, backend: t10, attrs: { perm: x } }), f.push(w)); + let S = w.shape.slice(); for (let k = 0; k < b.length; ++k) - w.splice(b[k], 0, 1); - y.arraysEqual(C.shape, w) || (C = me({ inputs: { x: C }, backend: t10, attrs: { shape: w } }), f.push(C)), m === null ? m = C : (m = II({ inputs: { a: C, b: m }, backend: t10 }), f.push(m)); + S.splice(b[k], 0, 1); + y.arraysEqual(w.shape, S) || (w = pe({ inputs: { x: w }, backend: t10, attrs: { shape: S } }), f.push(w)), m === null ? m = w : (m = Wv({ inputs: { a: w, b: m }, backend: t10 }), f.push(m)); } - h < l - 1 && (u[h] >= 0 && (m = ql({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); + h < l - 1 && (u[h] >= 0 && (m = Uv({ inputs: { x: m }, backend: t10, attrs: { axis: u[h] - (a.length - d), keepDims: false } }), f.push(m)), d--); } for (let h of f) h !== m && t10.disposeData(h.dataId); return m; } -var CL = { kernelName: ii, backendName: "webgpu", kernelFunc: _oe }; -var $oe = xe({ opType: X.ELU }); -var SL = { kernelName: Jo, backendName: "webgpu", kernelFunc: $oe }; -var Eoe = Ze({ opType: ge.EQUAL, dtype: "bool", cpuKernelImpl: Q3 }); -var wL = { kernelName: en, backendName: "webgpu", kernelFunc: Eoe }; -var Aoe = xe({ opType: X.ERF }); -var IL = { kernelName: da, backendName: "webgpu", kernelFunc: Aoe }; -var vI = xe({ opType: X.EXP, cpuKernelImpl: Z3, dtype: "float32" }); -var vL = { kernelName: tn, backendName: "webgpu", kernelFunc: vI }; -function ix(r) { +var mV = { kernelName: Fi, backendName: "webgpu", kernelFunc: eue }; +var tue = xe({ opType: Q.ELU }); +var dV = { kernelName: fn, backendName: "webgpu", kernelFunc: tue }; +var rue = (r) => { + let { inputs: e, backend: t10 } = r, { dy: o, y: n } = e, s = new bi(fe.ELU_DER, o.shape, n.shape); + return t10.runWebGPUProgram(s, [o, n], o.dtype); +}; +var fV = { kernelName: Va, backendName: "webgpu", kernelFunc: rue }; +var oue = et({ opType: fe.EQUAL, dtype: "bool", cpuKernelImpl: EB }); +var hV = { kernelName: hn, backendName: "webgpu", kernelFunc: oue }; +var nue = xe({ opType: Q.ERF }); +var gV = { kernelName: Wa, backendName: "webgpu", kernelFunc: nue }; +var sue = xe({ opType: Q.EXP, cpuKernelImpl: RB, dtype: "float32" }); +var xV = { kernelName: gn, backendName: "webgpu", kernelFunc: sue }; +function Ax(r) { let { inputs: e, attrs: t10, backend: o } = r, { dim: n } = t10, { input: s } = e, a = s.shape.length, i = s.shape.slice(), p = n; - return n < 0 && (y.assert(-(a + 1) <= n, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + n + 1), i.splice(p, 0, 1), me({ inputs: { x: s }, backend: o, attrs: { shape: i } }); + return n < 0 && (y.assert(-(a + 1) <= n, () => `Axis must be in the interval [${-(a + 1)}, ${a}]`), p = a + n + 1), i.splice(p, 0, 1), pe({ inputs: { x: s }, backend: o, attrs: { shape: i } }); } -var kL = { kernelName: Ss, backendName: "webgpu", kernelFunc: ix }; -var Roe = xe({ opType: X.EXPM1, cpuKernelImpl: J3 }); -var NL = { kernelName: fa, backendName: "webgpu", kernelFunc: Roe }; -var jl = class { +var yV = { kernelName: Js, backendName: "webgpu", kernelFunc: Ax }; +var aue = xe({ opType: Q.EXPM1, cpuKernelImpl: DB }); +var bV = { kernelName: xn, backendName: "webgpu", kernelFunc: aue }; +var fm = class { constructor(e, t10) { - this.variableNames = ["real", "imag"], this.outputShape = [], this.uniforms = "exponentMultiplier : f32, denominator: f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.component = e, this.shaderKey = `fft_${e}`; + this.variableNames = ["real", "imag"], this.outputShape = [], this.uniforms = "exponentMultiplier : f32, denominator: f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.component = e, this.shaderKey = `fft_${e}`; } getUserCode() { return ` @@ -29595,7 +31148,7 @@ var jl = class { return result; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); setOutputAtIndex(index, mulMatDFT(coords[0], coords[1])); @@ -29604,30 +31157,30 @@ var jl = class { `; } }; -function ux(r, e, t10) { - let o = t10.tensorMap.get(r.dataId), n = y.sizeFromShape(r.shape), s = r.shape[r.shape.length - 1], a = n / s, i = [], p = me({ inputs: { x: r }, backend: t10, attrs: { shape: [a, s] } }); +function Fx(r, e, t10) { + let o = t10.tensorMap.get(r.dataId), n = y.sizeFromShape(r.shape), s = r.shape[r.shape.length - 1], a = n / s, i = [], p = pe({ inputs: { x: r }, backend: t10, attrs: { shape: [a, s] } }); i.push(p); - let u = p.shape, c = new jl("real", u), l = new jl("imag", u), m = [{ dataId: o.complexTensorInfos.real.dataId, dtype: o.complexTensorInfos.real.dtype, shape: u }, { dataId: o.complexTensorInfos.imag.dataId, dtype: o.complexTensorInfos.imag.dtype, shape: u }], d = e ? 2 * Math.PI : -2 * Math.PI, f = e ? u[1] : 1, h = [{ type: "float32", data: [d] }, { type: "float32", data: [f] }], g = t10.runWebGPUProgram(c, m, "float32", h); + let u = p.shape, c = new fm("real", u), l = new fm("imag", u), m = [{ dataId: o.complexTensorInfos.real.dataId, dtype: o.complexTensorInfos.real.dtype, shape: u }, { dataId: o.complexTensorInfos.imag.dataId, dtype: o.complexTensorInfos.imag.dtype, shape: u }], d = e ? 2 * Math.PI : -2 * Math.PI, f = e ? u[1] : 1, h = [{ type: "float32", data: [d] }, { type: "float32", data: [f] }], g = t10.runWebGPUProgram(c, m, "float32", h); i.push(g); let x = t10.runWebGPUProgram(l, m, "float32", h); i.push(x); - let b = po({ inputs: { real: g, imag: x }, backend: t10 }); + let b = fo({ inputs: { real: g, imag: x }, backend: t10 }); i.push(b); - let C = me({ inputs: { x: b }, backend: t10, attrs: { shape: r.shape } }); - return i.forEach((w) => t10.disposeData(w.dataId)), C; + let w = pe({ inputs: { x: b }, backend: t10, attrs: { shape: r.shape } }); + return i.forEach((S) => t10.disposeData(S.dataId)), w; } -function Doe(r) { +function iue(r) { let { inputs: e, backend: t10 } = r, { input: o } = e; - return ux(o, false, t10); + return Fx(o, false, t10); } -var TL = { kernelName: ui, backendName: "webgpu", kernelFunc: Doe }; -var px = class { +var CV = { kernelName: Pi, backendName: "webgpu", kernelFunc: iue }; +var Px = class { constructor(e) { - this.outputShape = [], this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "flipLeftRight"; + this.outputShape = [], this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "flipLeftRight"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordX = uniforms.xShape[2] - coords[2] - 1; @@ -29638,23 +31191,23 @@ var px = class { `; } }; -var _L = { kernelName: rn, backendName: "webgpu", kernelFunc: ({ inputs: r, backend: e }) => { - let { image: t10 } = r, o = e, n = new px(t10.shape); +var wV = { kernelName: yn, backendName: "webgpu", kernelFunc: ({ inputs: r, backend: e }) => { + let { image: t10 } = r, o = e, n = new Px(t10.shape); return o.runWebGPUProgram(n, [t10], t10.dtype); } }; -var Foe = xe({ opType: X.FLOOR, cpuKernelImpl: eM }); -var $L = { kernelName: on, backendName: "webgpu", kernelFunc: Foe }; -var Ooe = Ze({ opType: ge.INT_DIV, dtype: "int32" }); -var EL = { kernelName: nn, backendName: "webgpu", kernelFunc: Ooe }; -var cx = class { +var uue = xe({ opType: Q.FLOOR, cpuKernelImpl: AB }); +var SV = { kernelName: bn, backendName: "webgpu", kernelFunc: uue }; +var pue = et({ opType: fe.INT_DIV, cpuKernelImpl: FB, dtype: "int32" }); +var IV = { kernelName: Cn, backendName: "webgpu", kernelFunc: pue }; +var Ox = class { constructor(e, t10, o = false) { - this.isFromPixels = true, this.outputShape = [0], this.variableNames = [], this.workgroupSize = [256, 1, 1], this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [t10, 1, 1]), this.importVideo = o, this.shaderKey = `fromPixels_${this.importVideo}`; + this.isFromPixels = true, this.outputShape = [0], this.variableNames = [], this.workgroupSize = [256, 1, 1], this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [t10, 1, 1]), this.importVideo = o, this.shaderKey = `fromPixels_${this.importVideo}`; } getUserCode() { let e = this.importVideo ? "textureLoad(src, vec2(coords.yx));" : "textureLoad(src, vec2(coords.yx), 0)"; return ` @binding(1) @group(0) var src: ${this.importVideo ? "texture_external" : "texture_2d"}; - ${Q("index")} { + ${K("index")} { let flatIndex = index * uniforms.numChannels; if (flatIndex < uniforms.size) { let coords = getCoordsFromIndex(flatIndex); @@ -29667,57 +31220,51 @@ var cx = class { `; } }; -var AL = { kernelName: Zi, backendName: "webgpu", kernelFunc: Poe }; -var Ac; -var kI = O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); -var lx = /* @__PURE__ */ new Map(); -function Poe(r) { +var vV = { kernelName: $u, backendName: "webgpu", kernelFunc: cue }; +var Zc; +var Gv = P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); +function cue(r) { let { inputs: e, backend: t10, attrs: o } = r, { pixels: n } = e, { numChannels: s } = o; if (n == null) throw new Error("pixels passed to tf.browser.fromPixels() can not be null"); let a = typeof HTMLVideoElement != "undefined" && n instanceof HTMLVideoElement, i = typeof HTMLImageElement != "undefined" && n instanceof HTMLImageElement, p = typeof HTMLCanvasElement != "undefined" && n instanceof HTMLCanvasElement || typeof OffscreenCanvas != "undefined" && n instanceof OffscreenCanvas, u = typeof ImageBitmap != "undefined" && n instanceof ImageBitmap, [c, l] = a ? [n.videoWidth, n.videoHeight] : [n.width, n.height], m = [l, c, s], d = false, f = a || i; if (u || p || f) { let b; - if (d) { - let D = n; - if (!lx.has(D) || lx.get(D).expired) { - let P = { source: D }; - lx.set(D, t10.device.importExternalTexture(P)); - } - b = { width: c, height: l, format: null, usage: null, texture: lx.get(D) }; - } else { + if (d) + b = { width: c, height: l, format: null, usage: null, texture: t10.device.importExternalTexture({ source: n }) }; + else { if (f) { - let L = O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); - (Ac == null || L !== kI) && (kI = L, Ac = document.createElement("canvas").getContext("2d", { willReadFrequently: kI })), Ac.canvas.width = c, Ac.canvas.height = l, Ac.drawImage(n, 0, 0, c, l), n = Ac.canvas; + let L = P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"); + (Zc == null || L !== Gv) && (Gv = L, Zc = document.createElement("canvas").getContext("2d", { willReadFrequently: Gv })), Zc.canvas.width = c, Zc.canvas.height = l, Zc.drawImage(n, 0, 0, c, l), n = Zc.canvas; } - let D = GPUTextureUsage.COPY_DST | GPUTextureUsage.RENDER_ATTACHMENT | GPUTextureUsage.TEXTURE_BINDING, P = "rgba8unorm", M = t10.textureManager.acquireTexture(m[1], m[0], P, D); - t10.queue.copyExternalImageToTexture({ source: n }, { texture: M }, [m[1], m[0]]), b = { width: c, height: l, format: P, usage: D, texture: M }; + let F = GPUTextureUsage.COPY_DST | GPUTextureUsage.RENDER_ATTACHMENT | GPUTextureUsage.TEXTURE_BINDING, O = "rgba8unorm", M = t10.textureManager.acquireTexture(m[1], m[0], O, F); + t10.queue.copyExternalImageToTexture({ source: n }, { texture: M }, [m[1], m[0]]), b = { width: c, height: l, format: O, usage: F, texture: M }; } - let C = y.sizeFromShape(m), w = y.computeStrides(m), k = new cx(m, s, d), _ = [{ type: "uint32", data: [C] }, { type: "uint32", data: [s] }, { type: "uint32", data: [...w] }], E = t10.makeTensorInfo([l, c], "int32"), A = t10.tensorMap.get(E.dataId); - A.resourceInfo = b; - let R = t10.runWebGPUProgram(k, [E], "int32", _); - return t10.disposeData(E.dataId), R; + let w = y.sizeFromShape(m), S = y.computeStrides(m), k = new Ox(m, s, d), _ = [{ type: "uint32", data: [w] }, { type: "uint32", data: [s] }, { type: "uint32", data: [...S] }], E = t10.makeTensorInfo([l, c], "int32"), R = t10.tensorMap.get(E.dataId); + R.resourceInfo = b; + let D = t10.runWebGPUProgram(k, [E], "int32", _); + return t10.disposeData(E.dataId), D; } let h = n.data, g = h; if (s != null && s !== 4) { g = new Uint8Array(n.width * n.height * s); - let b = h.length, C = 0; - for (let w = 0; w < b; w++) - w % 4 < s && (g[C++] = h[w]); + let b = h.length, w = 0; + for (let S = 0; S < b; S++) + S % 4 < s && (g[w++] = h[S]); } let x = t10.makeTensorInfo(m, "int32", new Int32Array(g)); return t10.uploadToGPU(x.dataId), x; } -var mx = class { +var Mx = class { constructor(e, t10, o, n, s) { - this.uniforms = "varianceEpsilon : f32,", this.workgroupSize = [128, 1, 1], this.size = true, this.variableNames = ["x", "mean", "variance"], S.assertAndGetBroadcastShape(e, t10), S.assertAndGetBroadcastShape(e, o), this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), n != null && (S.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset")), s != null && (S.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale")), this.offsetShape = n, this.scaleShape = s, this.shaderKey = "batchNorm"; + this.uniforms = "varianceEpsilon : f32,", this.workgroupSize = [128, 1, 1], this.size = true, this.variableNames = ["x", "mean", "variance"], C.assertAndGetBroadcastShape(e, t10), C.assertAndGetBroadcastShape(e, o), this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), n != null && (C.assertAndGetBroadcastShape(e, n), this.variableNames.push("offset")), s != null && (C.assertAndGetBroadcastShape(e, s), this.variableNames.push("scale")), this.offsetShape = n, this.scaleShape = s, this.shaderKey = "batchNorm"; } getUserCode() { let e = "0.0"; this.offsetShape != null && (e = "getOffsetByOutputIndex(index)"); let t10 = "1.0"; return this.scaleShape != null && (t10 = "getScaleByOutputIndex(index)"), ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let xValue = getXByOutputIndex(index); @@ -29732,36 +31279,36 @@ var mx = class { `; } }; -var RL = { kernelName: sn, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { +var kV = { kernelName: wn, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { let { x: o, scale: n, offset: s, mean: a, variance: i } = r, { varianceEpsilon: p } = e, u = t10, c = [o, a, i], l = null; s != null && (l = s.shape, c.push(s)); let m = null; n != null && (m = n.shape, c.push(n)); - let d = new mx(o.shape, a.shape, i.shape, l, m), f = [{ type: "float32", data: [p] }]; + let d = new Mx(o.shape, a.shape, i.shape, l, m), f = [{ type: "float32", data: [p] }]; return u.runWebGPUProgram(d, c, o.dtype, f); } }; -function Moe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = S.convertConv2DDataFormat(c), g = S.computeConv2DInfo(n.shape, s.shape, p, l, u, m, false, h); - return Qg({ x: n, filter: s, convInfo: g, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: f, activation: d }); +function lue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dataFormat: c, dilations: l, dimRoundingMode: m, activation: d, leakyreluAlpha: f } = o, h = C.convertConv2DDataFormat(c), g = C.computeConv2DInfo(n.shape, s.shape, p, l, u, m, false, h); + return gx({ x: n, filter: s, convInfo: g, backend: t10, bias: a, preluActivationWeights: i, leakyreluAlpha: f, activation: d }); } -var DL = { kernelName: go, backendName: "webgpu", kernelFunc: Moe }; -function Loe(r) { +var NV = { kernelName: Co, backendName: "webgpu", kernelFunc: lue }; +function mue(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n, filter: s, bias: a, preluActivationWeights: i } = e, { strides: p, pad: u, dilations: c, dimRoundingMode: l, activation: m, leakyreluAlpha: d } = o, f = c; - f == null && (f = [1, 1]), y.assert(S.eitherStridesOrDilationsAreOne(p, f), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`); - let h = S.computeConv2DInfo(n.shape, s.shape, p, f, u, l, true), g = [n, s], x = a != null, b = i != null; + f == null && (f = [1, 1]), y.assert(C.eitherStridesOrDilationsAreOne(p, f), () => `Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`); + let h = C.computeConv2DInfo(n.shape, s.shape, p, f, u, l, true), g = [n, s], x = a != null, b = i != null; x && g.push(a), b && g.push(i); - let C = [{ type: "int32", data: [h.padInfo.top, h.padInfo.left] }, { type: "int32", data: [h.inHeight, h.inWidth] }], w; - return h.outHeight > 4 && h.outWidth > 4 && h.strideWidth <= 2 && h.inChannels === h.outChannels && h.dilationHeight === 1 && h.dilationWidth === 1 && h.inChannels % 4 === 0 ? w = new $c(h, x, m, b) : (w = new Ec(h, x, m, b), C.push({ type: "int32", data: [h.filterHeight] }, { type: "int32", data: [h.filterWidth] }, { type: "int32", data: [h.strideHeight, h.strideWidth] }, { type: "int32", data: [h.dilationHeight, h.dilationWidth] })), m === "leakyrelu" && (C.push({ type: "float32", data: [d] }), w.uniforms += " alpha : f32,"), t10.runWebGPUProgram(w, g, "float32", C); + let w = [{ type: "int32", data: [h.padInfo.top, h.padInfo.left] }, { type: "int32", data: [h.inHeight, h.inWidth] }], S; + return h.outHeight > 4 && h.outWidth > 4 && h.strideWidth <= 2 && h.inChannels === h.outChannels && h.dilationHeight === 1 && h.dilationWidth === 1 && h.inChannels % 4 === 0 ? S = new Yc(h, x, m, b) : (S = new Qc(h, x, m, b), w.push({ type: "int32", data: [h.filterHeight] }, { type: "int32", data: [h.filterWidth] }, { type: "int32", data: [h.strideHeight, h.strideWidth] }, { type: "int32", data: [h.dilationHeight, h.dilationWidth] })), m === "leakyrelu" && (w.push({ type: "float32", data: [d] }), S.uniforms += " alpha : f32,"), t10.runWebGPUProgram(S, g, "float32", w); } -var FL = { kernelName: xo, backendName: "webgpu", kernelFunc: Loe }; -var dx = class { +var TV = { kernelName: wo, backendName: "webgpu", kernelFunc: mue }; +var Lx = class { constructor(e, t10) { - this.variableNames = ["A", "indices"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `gathernd_${e}`, this.sliceDim = e, this.uniforms = `sliceDim : i32, strides : ${Rt(e)},`; + this.variableNames = ["A", "indices"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = `gathernd_${e}`, this.sliceDim = e, this.uniforms = `sliceDim : i32, strides : ${Nt(e)},`; } getUserCode() { let e; return this.sliceDim > 1 ? e = "uniforms.strides[j]" : e = "uniforms.strides", ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var flattenIndex = 0; @@ -29777,24 +31324,24 @@ var dx = class { `; } }; -function Boe(r) { - let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = n.shape, a = s[s.length - 1], i = y.sizeFromShape(o.shape), [p, u, c, l] = S.prepareAndValidate(o, n), m = me({ inputs: { x: n }, backend: t10, attrs: { shape: [u, a] } }), d = me({ inputs: { x: o }, backend: t10, attrs: { shape: [y.sizeFromShape(o.shape) / c, c] } }); +function due(r) { + let { inputs: e, backend: t10 } = r, { params: o, indices: n } = e, s = n.shape, a = s[s.length - 1], i = y.sizeFromShape(o.shape), [p, u, c, l] = C.prepareAndValidate(o, n), m = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [u, a] } }), d = pe({ inputs: { x: o }, backend: t10, attrs: { shape: [y.sizeFromShape(o.shape) / c, c] } }); if (t10.shouldExecuteOnCPU([o, n]) || o.dtype === "string") { - let b = t10.readSync(n.dataId), C = t10.bufferSync(o), w = tM(b, C, o.dtype, u, a, c, l, o.shape, i); - return t10.makeTensorInfo(p, o.dtype, w.values); + let b = t10.readSync(n.dataId), w = t10.bufferSync(o), S = PB(b, w, o.dtype, u, a, c, l, o.shape, i); + return t10.makeTensorInfo(p, o.dtype, S.values); } - let f = new dx(a, [u, c]), h = [{ type: "int32", data: [a] }, { type: "int32", data: l }], g = t10.runWebGPUProgram(f, [d, m], d.dtype, h), x = me({ inputs: { x: g }, backend: t10, attrs: { shape: p } }); + let f = new Lx(a, [u, c]), h = [{ type: "int32", data: [a] }, { type: "int32", data: l }], g = t10.runWebGPUProgram(f, [d, m], d.dtype, h), x = pe({ inputs: { x: g }, backend: t10, attrs: { shape: p } }); return t10.disposeData(m.dataId), t10.disposeData(d.dataId), t10.disposeData(g.dataId), x; } -var OL = { kernelName: an, backendName: "webgpu", kernelFunc: Boe }; -var fx = class { +var _V = { kernelName: Sn, backendName: "webgpu", kernelFunc: due }; +var Bx = class { constructor(e, t10) { - this.variableNames = ["A", "indices"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.slice(), this.aShape = e, this.outputShape = t10, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "gather"; + this.variableNames = ["A", "indices"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.slice(), this.aShape = e, this.outputShape = t10, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "gather"; } getUserCode() { - let e = Voe(this.aShape); + let e = fue(this.aShape); return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let resRC = getCoordsFromIndex(index); let indexZ = i32(getIndices(resRC.x, resRC.z)); @@ -29805,57 +31352,57 @@ var fx = class { `; } }; -function Voe(r) { +function fue(r) { let e = ["resRC.x", "resRC.y", "resRC.z", "resRC.w"], t10 = []; for (let o = 0; o < r.length; o++) o === 2 ? t10.push("indexZ") : t10.push(`${e[o]}`); return t10.join(); } -function NI(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n, indices: s } = e, { axis: a, batchDims: i } = o, p = y.parseAxisParam(a, n.shape)[0], u = S.segment_util.collectGatherOpShapeInfo(n, s, p, i), c = y.sizeFromShape(s.shape), l = [], m = me({ inputs: { x: n }, backend: t10, attrs: { shape: [u.batchSize, u.outerSize, u.dimSize, u.sliceSize] } }), d = me({ inputs: { x: s }, backend: t10, attrs: { shape: [u.batchSize, c / u.batchSize] } }); +function Hv(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, indices: s } = e, { axis: a, batchDims: i } = o, p = y.parseAxisParam(a, n.shape)[0], u = C.segment_util.collectGatherOpShapeInfo(n, s, p, i), c = y.sizeFromShape(s.shape), l = [], m = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [u.batchSize, u.outerSize, u.dimSize, u.sliceSize] } }), d = pe({ inputs: { x: s }, backend: t10, attrs: { shape: [u.batchSize, c / u.batchSize] } }); l.push(m), l.push(d); let f = [u.batchSize, u.outerSize, c / u.batchSize, u.sliceSize]; if (t10.shouldExecuteOnCPU([n, s])) { - let C = t10.tensorMap.get(d.dataId).values, w = le(d.shape, d.dtype, C), _ = t10.tensorMap.get(m.dataId).values, E = le(m.shape, m.dtype, _), A = rM(E, w, f); - return l.forEach((R) => t10.disposeData(R.dataId)), t10.makeTensorInfo(u.outputShape, A.dtype, A.values); + let w = t10.tensorMap.get(d.dataId).values, S = me(d.shape, d.dtype, w), _ = t10.tensorMap.get(m.dataId).values, E = me(m.shape, m.dtype, _), R = OB(E, S, f); + return l.forEach((D) => t10.disposeData(D.dataId)), t10.makeTensorInfo(u.outputShape, R.dtype, R.values); } - let h = new fx(m.shape, f), g = t10.runWebGPUProgram(h, [m, d], m.dtype); + let h = new Bx(m.shape, f), g = t10.runWebGPUProgram(h, [m, d], m.dtype); l.push(g); - let x = me({ inputs: { x: g }, backend: t10, attrs: { shape: u.outputShape } }); + let x = pe({ inputs: { x: g }, backend: t10, attrs: { shape: u.outputShape } }); return l.forEach((b) => t10.disposeData(b.dataId)), x; } -var PL = { kernelName: Is, backendName: "webgpu", kernelFunc: NI }; -var zoe = Ze({ opType: ge.GREATER, cpuKernelImpl: nM, dtype: "bool" }); -var ML = { kernelName: un, backendName: "webgpu", kernelFunc: zoe }; -var Woe = Ze({ opType: ge.GREATER_EQUAL, dtype: "bool", cpuKernelImpl: oM }); -var LL = { kernelName: pn, backendName: "webgpu", kernelFunc: Woe }; -function Uoe(r) { +var $V = { kernelName: ta, backendName: "webgpu", kernelFunc: Hv }; +var hue = et({ opType: fe.GREATER, cpuKernelImpl: LB, dtype: "bool" }); +var EV = { kernelName: In, backendName: "webgpu", kernelFunc: hue }; +var gue = et({ opType: fe.GREATER_EQUAL, dtype: "bool", cpuKernelImpl: MB }); +var RV = { kernelName: vn, backendName: "webgpu", kernelFunc: gue }; +function xue(r) { let { inputs: e, backend: t10 } = r, { input: o } = e; - return ux(o, true, t10); + return Fx(o, true, t10); } -var BL = { kernelName: pi, backendName: "webgpu", kernelFunc: Uoe }; -var Goe = xe({ opType: X.IS_FINITE, dtype: "bool" }); -var VL = { kernelName: ha, backendName: "webgpu", kernelFunc: Goe }; -var Hoe = xe({ opType: X.IS_INF, dtype: "bool" }); -var zL = { kernelName: ga, backendName: "webgpu", kernelFunc: Hoe }; -var Koe = xe({ opType: X.IS_NAN, dtype: "bool" }); -var WL = { kernelName: cn, backendName: "webgpu", kernelFunc: Koe }; -function qoe(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { alpha: s } = o, a = [{ type: "float32", data: [s] }], i = new Hr(n.shape, X.LEAKYRELU, "alpha : f32,"); +var DV = { kernelName: Oi, backendName: "webgpu", kernelFunc: xue }; +var yue = xe({ opType: Q.IS_FINITE, dtype: "bool" }); +var AV = { kernelName: kn, backendName: "webgpu", kernelFunc: yue }; +var bue = xe({ opType: Q.IS_INF, dtype: "bool" }); +var FV = { kernelName: Nn, backendName: "webgpu", kernelFunc: bue }; +var Cue = xe({ opType: Q.IS_NAN, dtype: "bool" }); +var PV = { kernelName: Tn, backendName: "webgpu", kernelFunc: Cue }; +function wue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { alpha: s } = o, a = [{ type: "float32", data: [s] }], i = new Xr(n.shape, Q.LEAKYRELU, "alpha : f32,"); return t10.runWebGPUProgram(i, [n], "float32", a); } -var UL = { kernelName: ln, backendName: "webgpu", kernelFunc: qoe }; -var joe = Ze({ opType: ge.LESS, dtype: "bool", cpuKernelImpl: aM }); -var GL = { kernelName: mn, backendName: "webgpu", kernelFunc: joe }; -var Xoe = Ze({ opType: ge.LESS_EQUAL, dtype: "bool", cpuKernelImpl: sM }); -var HL = { kernelName: dn, backendName: "webgpu", kernelFunc: Xoe }; -var hx = class { +var OV = { kernelName: _n, backendName: "webgpu", kernelFunc: wue }; +var Sue = et({ opType: fe.LESS, dtype: "bool", cpuKernelImpl: zB }); +var MV = { kernelName: $n, backendName: "webgpu", kernelFunc: Sue }; +var Iue = et({ opType: fe.LESS_EQUAL, dtype: "bool", cpuKernelImpl: BB }); +var LV = { kernelName: En, backendName: "webgpu", kernelFunc: Iue }; +var zx = class { constructor(e) { - this.variableNames = [], this.outputShape = [], this.uniforms = "start : f32, step : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "linSpace"; + this.variableNames = [], this.outputShape = [], this.uniforms = "start : f32, step : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "linSpace"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.start + f32(index) * uniforms.step); } @@ -29863,22 +31410,22 @@ var hx = class { `; } }; -function Yoe(r) { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = (n - o) / (s - 1), i = new hx(s), p = [{ type: "float32", data: [o] }, { type: "float32", data: [a] }]; +function vue(r) { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, num: s } = t10, a = (n - o) / (s - 1), i = new zx(s), p = [{ type: "float32", data: [o] }, { type: "float32", data: [a] }]; return e.runWebGPUProgram(i, [], "float32", p); } -var KL = { kernelName: li, backendName: "webgpu", kernelFunc: Yoe }; -var Qoe = xe({ opType: X.LOG, cpuKernelImpl: iM }); -var qL = { kernelName: fn, backendName: "webgpu", kernelFunc: Qoe }; -var Zoe = xe({ opType: X.LOG1P }); -var jL = { kernelName: xa, backendName: "webgpu", kernelFunc: Zoe }; -var Joe = Ze({ opType: ge.LOGICAL_AND, dtype: "bool" }); -var XL = { kernelName: hn, backendName: "webgpu", kernelFunc: Joe }; -var ene = xe({ opType: X.LOGICAL_NOT }); -var YL = { kernelName: gn, backendName: "webgpu", kernelFunc: ene }; -var tne = Ze({ opType: ge.LOGICAL_OR }); -var QL = { kernelName: xn, backendName: "webgpu", kernelFunc: tne }; -var ZL = ` +var BV = { kernelName: Rn, backendName: "webgpu", kernelFunc: vue }; +var kue = xe({ opType: Q.LOG, cpuKernelImpl: VB }); +var zV = { kernelName: Dn, backendName: "webgpu", kernelFunc: kue }; +var Nue = xe({ opType: Q.LOG1P }); +var VV = { kernelName: An, backendName: "webgpu", kernelFunc: Nue }; +var Tue = et({ opType: fe.LOGICAL_AND, dtype: "bool" }); +var WV = { kernelName: Fn, backendName: "webgpu", kernelFunc: Tue }; +var _ue = xe({ opType: Q.LOGICAL_NOT }); +var UV = { kernelName: Pn, backendName: "webgpu", kernelFunc: _ue }; +var $ue = et({ opType: fe.LOGICAL_OR }); +var GV = { kernelName: On, backendName: "webgpu", kernelFunc: $ue }; +var HV = ` var powValue = 0.0; let basis = uniforms.bias + uniforms.alpha * sum; if (uniforms.beta == 0.5) { @@ -29889,13 +31436,13 @@ var ZL = ` powValue = exp(log(basis) * (-uniforms.beta)); } `; -var gx = class { +var Vx = class { constructor(e) { - this.outputShape = [], this.variableNames = ["x"], this.uniforms = "radius : i32, bias : f32, alpha : f32, beta : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "lrn"; + this.outputShape = [], this.variableNames = ["x"], this.uniforms = "radius : i32, bias : f32, alpha : f32, beta : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "lrn"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let b = coords[0]; @@ -29912,7 +31459,7 @@ var gx = class { sum = sum + z * z; } } - ${ZL} + ${HV} setOutputAtIndex(index, x * powValue); } @@ -29920,9 +31467,9 @@ var gx = class { `; } }; -var xx = class { +var Wx = class { constructor(e, t10) { - this.outputShape = [], this.variableNames = ["x"], this.uniforms = "radius : i32, bias : f32, alpha : f32, beta : f32,", this.workgroupSize = [256, 1, 1], this.maxAllowRadius = 16, y.assert(t10 <= this.maxAllowRadius, () => `Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t10}`), this.outputShape = e, this.elementsPerWorkgroup = this.workgroupSize[0] - 2 * this.maxAllowRadius, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = Y(this.dispatchLayout, this.outputShape, [this.elementsPerWorkgroup, this.workgroupSize[1], this.workgroupSize[2]]), this.shaderKey = "lrn_shared"; + this.outputShape = [], this.variableNames = ["x"], this.uniforms = "radius : i32, bias : f32, alpha : f32, beta : f32,", this.workgroupSize = [256, 1, 1], this.maxAllowRadius = 16, y.assert(t10 <= this.maxAllowRadius, () => `Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t10}`), this.outputShape = e, this.elementsPerWorkgroup = this.workgroupSize[0] - 2 * this.maxAllowRadius, this.dispatchLayout = { x: [3], y: [2], z: [0, 1] }, this.dispatch = q(this.dispatchLayout, this.outputShape, [this.elementsPerWorkgroup, this.workgroupSize[1], this.workgroupSize[2]]), this.shaderKey = "lrn_shared"; } getUserCode() { return ` @@ -29930,7 +31477,7 @@ var xx = class { const elementsPerWorkgroup = ${this.elementsPerWorkgroup}; const maxAllowRadius = ${this.maxAllowRadius}; - ${Q()} { + ${K()} { let localDepth = i32(localId.x); let workgroupDepth = i32(workgroupId.x) * elementsPerWorkgroup; let xDepth = workgroupDepth + localDepth - maxAllowRadius; @@ -29953,44 +31500,258 @@ var xx = class { let z = lrnSub[index + i]; sum = sum + z * z; } - ${ZL} + ${HV} setOutputAtCoords(b, r, c, d, lrnSub[index] * powValue); } } `; } }; -function rne(r) { +function Eue(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { depthRadius: s, bias: a, alpha: i, beta: p } = o, u; - s > 16 ? u = new gx(n.shape) : u = new xx(n.shape, s); + s > 16 ? u = new Vx(n.shape) : u = new Wx(n.shape, s); let c = [{ type: "int32", data: [s] }, { type: "float32", data: [a] }, { type: "float32", data: [i] }, { type: "float32", data: [p] }]; return t10.runWebGPUProgram(u, [n], n.dtype, c); } -var JL = { kernelName: mi, backendName: "webgpu", kernelFunc: rne }; -var one = Ze({ opType: ge.MAX, cpuKernelImpl: pM }); -var eB = { kernelName: bn, backendName: "webgpu", kernelFunc: one }; -function nne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1, c = S.computePool2DInfo(n.shape, s, a, u, i, p); - return zg(n, c, "max", t10); +var KV = { kernelName: Mn, backendName: "webgpu", kernelFunc: Eue }; +var Ux = class { + constructor(e) { + this.outputShape = [], this.variableNames = ["inputImage", "outputImage", "dy"], this.uniforms = "depthRadius : i32, bias : f32, alpha : f32, beta : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "lrn_grad"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + + let MIN_DEPTH_BEGIN = 0; + let MAX_DEPTH_END = uniforms.outShape[3]; + var result = 0.0; + for (var d = MIN_DEPTH_BEGIN; d < MAX_DEPTH_END; d++) { + let depthBegin = max(MIN_DEPTH_BEGIN, d - uniforms.depthRadius); + let depthEnd = min(MAX_DEPTH_END, d + uniforms.depthRadius + 1); + + var norm = 0.0; + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k); + } else { + break; + } + } + + norm = uniforms.alpha * norm + uniforms.bias; + + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + var dyi = -2.0 * uniforms.alpha * uniforms.beta + * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d) / norm; + if (k == d) { + dyi += pow(norm, -1.0 * uniforms.beta); + } + if (k == coords[3]) { + dyi *= getDy(b, r, c, d); + result += dyi; + } + } else { + break; + } + } + } + + setOutputAtIndex(index, result); + } + } + `; + } +}; +function Rue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, y: s, dy: a } = e, { depthRadius: i, bias: p, alpha: u, beta: c } = o, l = new Ux(n.shape), m = [{ type: "int32", data: [i] }, { type: "float32", data: [p] }, { type: "float32", data: [u] }, { type: "float32", data: [c] }]; + return t10.runWebGPUProgram(l, [n, s, a], n.dtype, m); } -var tB = { kernelName: Cn, backendName: "webgpu", kernelFunc: nne }; -function sne(r) { +var qV = { kernelName: Ua, backendName: "webgpu", kernelFunc: Rue }; +var Due = et({ opType: fe.MAX, cpuKernelImpl: UB }); +var jV = { kernelName: Bn, backendName: "webgpu", kernelFunc: Due }; +function Aue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dimRoundingMode: p } = o, u = 1, c = C.computePool2DInfo(n.shape, s, a, u, i, p); + return ox(n, c, "max", t10); +} +var XV = { kernelName: zn, backendName: "webgpu", kernelFunc: Aue }; +function Fue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { filterSize: s, strides: a, pad: i, dataFormat: p, dimRoundingMode: u } = o, c = [1, 1, 1], l = C.computePool3DInfo(n.shape, s, a, c, i, u, p), m = new wu(l, "max"), d = [{ type: "int32", data: [l.strideDepth, l.strideHeight, l.strideWidth] }, { type: "int32", data: [l.padInfo.front, l.padInfo.top, l.padInfo.left] }, { type: "int32", data: [l.inDepth, l.inHeight, l.inWidth] }, { type: "int32", data: [l.effectiveFilterDepth, l.effectiveFilterHeight, l.effectiveFilterWidth] }]; + return t10.runWebGPUProgram(m, [n], n.dtype, d); +} +var YV = { kernelName: ra, backendName: "webgpu", kernelFunc: Fue }; +var Gx = class { + constructor(e) { + this.variableNames = ["dy", "maxPos"], this.uniforms = `strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "maxPool2DBackprop"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + + let dyRCCorner = vec2(coords.yz) - uniforms.pads; + let dyRCorner = dyRCCorner.x; + let dyCCorner = dyRCCorner.y; + + // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] - 1; + for (var wR = 0; wR < uniforms.filterDims[0]; wR += uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[1]; wC += uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyR, idyC, d); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyR, idyC, d)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wR * uniforms.filterDims[1] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +var Hx = class { + constructor(e) { + this.variableNames = ["dy", "maxPos"], this.uniforms = `strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e.inShape, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "maxPool3DBackprop"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] * uniforms.filterDims[2] - 1; + + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyD, idyR, idyC, ch)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wD * uniforms.filterDims[1] * uniforms.filterDims[2] + wR * uniforms.filterDims[2] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + } + + setOutputAtIndex(index, dotProd); + } + } + `; + } +}; +function Pue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s } = e, a = s, { filterSize: i, strides: p, pad: u, dimRoundingMode: c } = o, l = [1, 1, 1], m = C.computePool3DInfo(a.shape, i, p, l, u, c), d = new wu(m, "max", true), f = [{ type: "int32", data: [m.strideDepth, m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.padInfo.front, m.padInfo.top, m.padInfo.left] }, { type: "int32", data: [m.inDepth, m.inHeight, m.inWidth] }, { type: "int32", data: [m.effectiveFilterDepth, m.effectiveFilterHeight, m.effectiveFilterWidth] }], h = t10.runWebGPUProgram(d, [a], "int32", f), g = new Hx(m); + f = [{ type: "int32", data: [m.strideDepth, m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.effectiveFilterDepth - 1 - m.padInfo.front, m.effectiveFilterHeight - 1 - m.padInfo.top, m.effectiveFilterWidth - 1 - m.padInfo.left] }, { type: "int32", data: [m.effectiveFilterDepth, m.effectiveFilterHeight, m.effectiveFilterWidth] }, { type: "int32", data: [m.outDepth] }, { type: "int32", data: [m.outHeight] }, { type: "int32", data: [m.outWidth] }]; + let x = t10.runWebGPUProgram(g, [n, h], a.dtype, f); + return t10.disposeData(h.dataId), x; +} +var QV = { kernelName: Li, backendName: "webgpu", kernelFunc: Pue }; +function Oue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { dy: n, input: s, output: a } = e, i = s; + cm([s, a], "maxPoolGrad"); + let { filterSize: p, strides: u, pad: c, dimRoundingMode: l } = o, m = C.computePool2DInfo(i.shape, p, u, 1, c, l), d = new Da(m, "max", true), f = [{ type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.padInfo.top, m.padInfo.left] }, { type: "int32", data: [m.dilationHeight, m.dilationWidth] }, { type: "int32", data: [m.inHeight, m.inWidth] }, { type: "int32", data: [m.effectiveFilterHeight, m.effectiveFilterWidth] }], h = t10.runWebGPUProgram(d, [i], "int32", f), g = new Gx(m); + f = [{ type: "int32", data: [m.strideHeight, m.strideWidth] }, { type: "int32", data: [m.effectiveFilterHeight - 1 - m.padInfo.top, m.effectiveFilterWidth - 1 - m.padInfo.left] }, { type: "int32", data: [m.dilationHeight, m.dilationWidth] }, { type: "int32", data: [m.effectiveFilterHeight, m.effectiveFilterWidth] }, { type: "int32", data: [m.outHeight] }, { type: "int32", data: [m.outWidth] }]; + let x = t10.runWebGPUProgram(g, [n, h], i.dtype, f); + return t10.disposeData(h.dataId), x; +} +var ZV = { kernelName: Hp, backendName: "webgpu", kernelFunc: Oue }; +function Mue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { filterSize: n, strides: s, pad: a, includeBatchInIndex: i } = o, { x: p } = e; + y.assert(p.shape.length === 4, () => `Error in maxPool: input must be rank 4 but got rank ${p.shape.length}.`); + let u = [1, 1]; + y.assert(C.eitherStridesOrDilationsAreOne(s, u), () => `Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`); + let c = C.computePool2DInfo(p.shape, n, s, u, a), l = [{ type: "int32", data: [c.strideHeight, c.strideWidth] }, { type: "int32", data: [c.padInfo.top, c.padInfo.left] }, { type: "int32", data: [c.dilationHeight, c.dilationWidth] }, { type: "int32", data: [c.inHeight, c.inWidth] }, { type: "int32", data: [c.effectiveFilterHeight, c.effectiveFilterWidth] }], m = new Da(c, "max", false), d = t10.runWebGPUProgram(m, [p], p.dtype, l); + m = new Da(c, "max", true, true, i); + let f = t10.runWebGPUProgram(m, [p], "int32", l); + return [d, f]; +} +var JV = { kernelName: Bi, backendName: "webgpu", kernelFunc: Mue }; +function Lue(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - return Kr(n, s, a, "min", t10); + return Yr(n, s, a, "min", t10); } -var rB = { kernelName: wn, backendName: "webgpu", kernelFunc: sne }; -var ane = Ze({ opType: ge.MIN, cpuKernelImpl: cM }); -var oB = { kernelName: In, backendName: "webgpu", kernelFunc: ane }; -var yx = class { +var eW = { kernelName: Wn, backendName: "webgpu", kernelFunc: Lue }; +var Bue = et({ opType: fe.MIN, cpuKernelImpl: GB }); +var tW = { kernelName: Un, backendName: "webgpu", kernelFunc: Bue }; +var Kx = class { constructor(e, t10, o) { - this.uniforms = "", this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10.map((n, s) => n[0] + e[s] + n[1]), this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.xShape = e, t10.map((n, s) => { + this.uniforms = "", this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10.map((n, s) => n[0] + e[s] + n[1]), this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.xShape = e, t10.map((n, s) => { this.uniforms += ` pad${s} : vec2,`; }), this.offset = o === "reflect" ? 0 : 1, this.shaderKey = `mirrorPad_${o}`; } getUserCode() { - let e = this.xShape.length, t10 = this.xShape.map((u, c) => `uniforms.pad${c}[0]`).join(","), o = this.xShape.map((u, c) => `uniforms.pad${c}[0] + uniforms.xShape${e > 1 ? `[${c}]` : ""}`).join(","), n = e === 1 ? "start" : "start[i]", s = e === 1 ? "end" : "end[i]", a = e === 1 ? "outC" : "outC[i]", i = Rt(e), p = e > 1 ? ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, e) : "coords"; + let e = this.xShape.length, t10 = this.xShape.map((u, c) => `uniforms.pad${c}[0]`).join(","), o = this.xShape.map((u, c) => `uniforms.pad${c}[0] + uniforms.xShape${e > 1 ? `[${c}]` : ""}`).join(","), n = e === 1 ? "start" : "start[i]", s = e === 1 ? "end" : "end[i]", a = e === 1 ? "outC" : "outC[i]", i = Nt(e), p = e > 1 ? ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, e) : "coords"; return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let start = ${i}(${t10}); let end = ${i}(${o}); @@ -30009,41 +31770,159 @@ var yx = class { `; } }; -var nB = { kernelName: vn, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { - let { x: o } = r, { paddings: n, mode: s } = e, a = t10, i = n.map((c) => ({ type: "int32", data: [c[0], c[1]] })), p = new yx(o.shape, n, s); +var rW = { kernelName: Gn, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { + let { x: o } = r, { paddings: n, mode: s } = e, a = t10, i = n.map((c) => ({ type: "int32", data: [c[0], c[1]] })), p = new Kx(o.shape, n, s); return a.runWebGPUProgram(p, [o], o.dtype, i); } }; -var ine = Ze({ opType: ge.MOD }); -var sB = { kernelName: ya, backendName: "webgpu", kernelFunc: ine }; -function une(r) { - let { inputs: e, backend: t10 } = r, { x: o } = e; - if (t10.shouldExecuteOnCPU([o])) { - let s = t10.tensorMap.get(o.dataId), [a, i] = mM(s.values, o.shape, o.dtype); - return t10.makeTensorInfo(i, o.dtype, a); - } - let n = new Hr(o.shape, X.NEG); - return t10.runWebGPUProgram(n, [o], o.dtype); -} -var aB = { kernelName: vs, backendName: "webgpu", kernelFunc: une }; -function pne(r) { - console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); - let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), { selectedIndices: l } = Vt.nonMaxSuppressionV3Impl(u, c, a, i, p); - return t10.makeTensorInfo([l.length], "int32", new Int32Array(l)); -} -var iB = { kernelName: Tn, backendName: "webgpu", kernelFunc: pne }; -function cne(r) { - console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); - let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, softNmsSigma: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = Vt.nonMaxSuppressionV5Impl(c, l, m, d, f, h); - return [t10.makeTensorInfo([g.length], "int32", new Int32Array(g)), t10.makeTensorInfo([x.length], "float32", new Float32Array(x))]; -} -var uB = { kernelName: _n, backendName: "webgpu", kernelFunc: cne }; -var bx = class { +var zue = et({ opType: fe.MOD }); +var oW = { kernelName: Ga, backendName: "webgpu", kernelFunc: zue }; +var qx = class { constructor(e, t10) { - this.variableNames = ["x"], this.uniforms = "onValue : f32, offValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e, t10], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "onehot"; + this.variableNames = ["probs"], this.outputShape = [], this.uniforms = "seed : f32, numOutcomes: i32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e, t10], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "multinomial"; } getUserCode() { return ` - ${Q("index")} { + //Based on the work of Dave Hoskins + //https://www.shadertoy.com/view/4djSRW + fn random (seed : f32, resultUV : vec2) -> f32 { + let HASHSCALE1 = 443.8975; + let p = resultUV * seed; + var p3 = fract(vec3(p.xyx) * HASHSCALE1); + p3 = p3 + dot(p3, p3.yzx + 19.19); + return fract((p3.x + p3.y) * p3.z); + } + + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords[0]; + + let resUV = vec2(f32(coords[1]) / f32(uniforms.outShape[1]), + f32(coords[0]) / f32(uniforms.outShape[0])); + let r = random(uniforms.seed, resUV); + var cdf = 0.0; + for (var i = 0; i < uniforms.numOutcomes - 1; i = i + 1) { + cdf = cdf + getProbs(batch, i); + + if (r < cdf) { + setOutputAtIndexI32(index, i); + return; + } + } + + // If no other event happened, last event happened. + setOutputAtIndexI32(index, uniforms.numOutcomes - 1); + } + } + `; + } +}; +var jx = class { + constructor(e) { + this.variableNames = ["logits"], this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = [this.outputShape[0], 1, 1], this.outputShape[1] >= 4096 ? this.workgroupSize = [256, 1, 1] : this.workgroupSize = [64, 1, 1], this.shaderKey = "softmax"; + } + getUserCode() { + return ` + var buf : array; + var rowMaxShared : f32; + var rowSumShared : f32; + const blockSize = ${this.workgroupSize[0]}; + ${K("index")} { + let row = index / blockSize; + let tid = i32(localId.x); + let cols = uniforms.outShape[1]; + + var threadMax = -3.402823e+38f; + for (var col = tid; col < cols; col += blockSize) { + let value = getLogits(row, col); + threadMax = max(threadMax, value); + } + if (tid < cols) { + buf[tid] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, blockSize); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (tid < currSize) { + buf[tid] = max(buf[tid], buf[tid + reduceSize]); + } + workgroupBarrier(); + } + + if (tid == 0) { + rowMaxShared = buf[0]; + } + workgroupBarrier(); + + var threadSum = 0.0; + for (var col = tid; col < cols; col += blockSize) { + let subExp = exp(getLogits(row, col) - rowMaxShared); + threadSum += subExp; + } + buf[tid] = threadSum; + workgroupBarrier(); + + for (var currSize = blockSize >> 1; currSize > 0; currSize = currSize >> 1) { + if (tid < currSize) { + buf[tid] = buf[tid] + buf[tid + currSize]; + } + workgroupBarrier(); + } + + if (tid == 0) { + rowSumShared = buf[0]; + } + workgroupBarrier(); + + for (var col = tid; col < cols; col += blockSize) { + let value = exp(getLogits(row, col) - rowMaxShared) / rowSumShared; + setOutputAtCoords(row, col, value); + } + } + `; + } +}; +function Kv(r) { + let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { dim: s } = o, a = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [y.sizeFromShape(n.shape) / n.shape[s], n.shape[s]] } }), i = new jx(a.shape), p = t10.runWebGPUProgram(i, [a], n.dtype), u = pe({ inputs: { x: p }, backend: t10, attrs: { shape: n.shape } }); + return t10.disposeData(a.dataId), t10.disposeData(p.dataId), u; +} +var nW = { kernelName: bs, backendName: "webgpu", kernelFunc: Kv }; +function Vue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { numSamples: s, seed: a, normalized: i } = o, p = i ? n : Kv({ inputs: { logits: n }, backend: t10, attrs: { dim: n.shape.length - 1 } }), u = p.shape[0], c = p.shape[1], l = new qx(u, s), m = [{ type: "float32", data: [a] }, { type: "int32", data: [c] }], d = t10.runWebGPUProgram(l, [p], "int32", m); + return i || t10.disposeData(p.dataId), d; +} +var sW = { kernelName: Hn, backendName: "webgpu", kernelFunc: Vue }; +function Wue(r) { + let { inputs: e, backend: t10 } = r, { x: o } = e; + if (t10.shouldExecuteOnCPU([o])) { + let s = t10.tensorMap.get(o.dataId), [a, i] = KB(s.values, o.shape, o.dtype); + return t10.makeTensorInfo(i, o.dtype, a); + } + let n = new Xr(o.shape, Q.NEG); + return t10.runWebGPUProgram(n, [o], o.dtype); +} +var aW = { kernelName: oa, backendName: "webgpu", kernelFunc: Wue }; +function Uue(r) { + console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); + let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p } = o, u = t10.readSync(n.dataId), c = t10.readSync(s.dataId), { selectedIndices: l } = Wt.nonMaxSuppressionV3Impl(u, c, a, i, p); + return t10.makeTensorInfo([l.length], "int32", new Int32Array(l)); +} +var iW = { kernelName: jn, backendName: "webgpu", kernelFunc: Uue }; +function Gue(r) { + console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"); + let { inputs: e, backend: t10, attrs: o } = r, { boxes: n, scores: s } = e, { maxOutputSize: a, iouThreshold: i, scoreThreshold: p, softNmsSigma: u } = o, c = t10.readSync(n.dataId), l = t10.readSync(s.dataId), m = a, d = i, f = p, h = u, { selectedIndices: g, selectedScores: x } = Wt.nonMaxSuppressionV5Impl(c, l, m, d, f, h); + return [t10.makeTensorInfo([g.length], "int32", new Int32Array(g)), t10.makeTensorInfo([x.length], "float32", new Float32Array(x))]; +} +var uW = { kernelName: Xn, backendName: "webgpu", kernelFunc: Gue }; +var Xx = class { + constructor(e, t10) { + this.variableNames = ["x"], this.uniforms = "onValue : f32, offValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e, t10], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "onehot"; + } + getUserCode() { + return ` + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, mix(uniforms.offValue, uniforms.onValue, @@ -30053,58 +31932,58 @@ var bx = class { `; } }; -function lne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o, u = y.sizeFromShape(n.shape), c = new bx(u, a), l = me({ inputs: { x: n }, backend: t10, attrs: { shape: [u] } }), m = [{ type: "float32", data: [i] }, { type: "float32", data: [p] }], d = t10.runWebGPUProgram(c, [l], s, m); +function Hue(r) { + let { inputs: e, backend: t10, attrs: o } = r, { indices: n } = e, { dtype: s, depth: a, onValue: i, offValue: p } = o, u = y.sizeFromShape(n.shape), c = new Xx(u, a), l = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [u] } }), m = [{ type: "float32", data: [i] }, { type: "float32", data: [p] }], d = t10.runWebGPUProgram(c, [l], s, m); t10.disposeData(l.dataId); - let f = [...n.shape, a], h = me({ inputs: { x: d }, backend: t10, attrs: { shape: f } }); + let f = [...n.shape, a], h = pe({ inputs: { x: d }, backend: t10, attrs: { shape: f } }); return t10.disposeData(d.dataId), h; } -var pB = { kernelName: $n, backendName: "webgpu", kernelFunc: lne }; -function Xl(r) { +var pW = { kernelName: Yn, backendName: "webgpu", kernelFunc: Hue }; +function hm(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "complex64") { - let n = Xa({ inputs: { input: o }, backend: t10 }), s = Xl({ inputs: { x: n }, backend: t10 }), a = Qu({ inputs: { input: o }, backend: t10 }), i = Xl({ inputs: { x: a }, backend: t10 }), p = po({ inputs: { real: s, imag: i }, backend: t10 }); + let n = Ci({ inputs: { input: o }, backend: t10 }), s = hm({ inputs: { x: n }, backend: t10 }), a = Ep({ inputs: { input: o }, backend: t10 }), i = hm({ inputs: { x: a }, backend: t10 }), p = fo({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeData(n.dataId), t10.disposeData(s.dataId), t10.disposeData(a.dataId), t10.disposeData(i.dataId), p; } else - return fr({ attrs: { shape: o.shape, dtype: o.dtype, value: o.dtype === "string" ? "" : 0 }, backend: t10 }); + return Vt({ attrs: { shape: o.shape, dtype: o.dtype, value: o.dtype === "string" ? "" : 0 }, backend: t10 }); } -var cB = { kernelName: Os, backendName: "webgpu", kernelFunc: Xl }; -function lB(r) { +var cW = { kernelName: fa, backendName: "webgpu", kernelFunc: hm }; +function lW(r) { let { inputs: e, backend: t10 } = r, { x: o } = e; if (o.dtype === "string") throw new Error("onesLike is not supported under string dtype"); if (o.dtype === "complex64") { - let n = Xa({ inputs: { input: o }, backend: t10 }), s = lB({ inputs: { x: n }, backend: t10 }), a = Qu({ inputs: { input: o }, backend: t10 }), i = Xl({ inputs: { x: a }, backend: t10 }), p = po({ inputs: { real: s, imag: i }, backend: t10 }); + let n = Ci({ inputs: { input: o }, backend: t10 }), s = lW({ inputs: { x: n }, backend: t10 }), a = Ep({ inputs: { input: o }, backend: t10 }), i = hm({ inputs: { x: a }, backend: t10 }), p = fo({ inputs: { real: s, imag: i }, backend: t10 }); return t10.disposeData(n.dataId), t10.disposeData(s.dataId), t10.disposeData(a.dataId), t10.disposeData(i.dataId), p; } else - return fr({ attrs: { shape: o.shape, dtype: o.dtype, value: 1 }, backend: t10 }); + return Vt({ attrs: { shape: o.shape, dtype: o.dtype, value: 1 }, backend: t10 }); } -var mB = { kernelName: ks, backendName: "webgpu", kernelFunc: lB }; -function mne(r) { +var mW = { kernelName: na, backendName: "webgpu", kernelFunc: lW }; +function Kue(r) { let { inputs: e, backend: t10, attrs: o } = r, { axis: n } = o; if (e.length === 1) - return ix({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); + return Ax({ inputs: { input: e[0] }, backend: t10, attrs: { dim: n } }); let s = e[0].shape, a = e[0].dtype; e.forEach((c) => { y.assertShapesMatch(s, c.shape, "All tensors passed to stack must have matching shapes"), y.assert(a === c.dtype, () => "All tensors passed to stack must have matching dtypes"); }); let i = [], p = e.map((c) => { - let l = ix({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); + let l = Ax({ inputs: { input: c }, backend: t10, attrs: { dim: n } }); return i.push(l), l; - }), u = wI({ inputs: p, backend: t10, attrs: { axis: n } }); + }), u = Vv({ inputs: p, backend: t10, attrs: { axis: n } }); return i.forEach((c) => t10.disposeData(c.dataId)), u; } -var dB = { kernelName: Ns, backendName: "webgpu", kernelFunc: mne }; -var Cx = class { +var dW = { kernelName: sa, backendName: "webgpu", kernelFunc: Kue }; +var Yx = class { constructor(e, t10) { - this.variableNames = ["x"], this.uniforms = "constantValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10.map((o, n) => o[0] + e[n] + o[1]), this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), t10.map((o, n) => { + this.variableNames = ["x"], this.uniforms = "constantValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10.map((o, n) => o[0] + e[n] + o[1]), this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), t10.map((o, n) => { this.uniforms += ` pad${n} : vec2,`; }), this.xShape = e, this.shaderKey = "pad"; } getUserCode() { - let e = this.xShape.length, t10 = Rt(e), o = this.xShape.map((l, m) => `uniforms.pad${m}[0]`).join(","), n = this.xShape.map((l, m) => `uniforms.pad${m}[0] + uniforms.xShape${e > 1 ? `[${m}]` : ""}`).join(","), s = e > 1 ? `${t10}(${o})` : `${o}`, a = e > 1 ? `${t10}(${n})` : `${n}`, i = e > 1 ? "any(outC < start)" : "outC < start", p = e > 1 ? "any(outC >= end)" : "outC >= end", u = e > 1 ? ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, e) : "coords"; + let e = this.xShape.length, t10 = Nt(e), o = this.xShape.map((l, m) => `uniforms.pad${m}[0]`).join(","), n = this.xShape.map((l, m) => `uniforms.pad${m}[0] + uniforms.xShape${e > 1 ? `[${m}]` : ""}`).join(","), s = e > 1 ? `${t10}(${o})` : `${o}`, a = e > 1 ? `${t10}(${n})` : `${n}`, i = e > 1 ? "any(outC < start)" : "outC < start", p = e > 1 ? "any(outC >= end)" : "outC >= end", u = e > 1 ? ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, e) : "coords"; return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let start = ${s}; let end = ${a}; @@ -30121,52 +32000,52 @@ var Cx = class { `; } }; -var TI = (r) => { +var qv = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { paddings: s, constantValue: a } = o; if (s.every((u) => y.arraysEqual(u, [0, 0]))) - return Dt({ inputs: { x: n }, backend: t10 }); + return At({ inputs: { x: n }, backend: t10 }); if (y.sizeFromShape(n.shape) === 0) { let u = s.map((c, l) => c[0] + n.shape[l] + c[1]); - return fr({ backend: t10, attrs: { shape: u, value: a, dtype: n.dtype } }); + return Vt({ backend: t10, attrs: { shape: u, value: a, dtype: n.dtype } }); } let i = [{ type: "float32", data: [a] }]; s.map((u) => i.push({ type: "int32", data: [u[0], u[1]] })); - let p = new Cx(n.shape, s); + let p = new Yx(n.shape, s); return t10.runWebGPUProgram(p, [n], n.dtype, i); }; -var fB = { kernelName: En, backendName: "webgpu", kernelFunc: TI }; -var dne = Ze({ opType: ge.POW }); -var hB = { kernelName: An, backendName: "webgpu", kernelFunc: dne }; -function fne(r) { - let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e, s = new Yu(ge.PRELU, o.shape, n.shape); +var fW = { kernelName: Qn, backendName: "webgpu", kernelFunc: qv }; +var que = et({ opType: fe.POW }); +var hW = { kernelName: Zn, backendName: "webgpu", kernelFunc: que }; +function jue(r) { + let { inputs: e, backend: t10 } = r, { x: o, alpha: n } = e, s = new bi(fe.PRELU, o.shape, n.shape); return t10.runWebGPUProgram(s, [o, n], "float32"); } -var gB = { kernelName: Rn, backendName: "webgpu", kernelFunc: fne }; -function hne(r) { +var gW = { kernelName: Jn, backendName: "webgpu", kernelFunc: jue }; +function Xue(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { axis: s, keepDims: a } = o; - return Kr(n, s, a, "prod", t10); + return Yr(n, s, a, "prod", t10); } -var xB = { kernelName: Dn, backendName: "webgpu", kernelFunc: hne }; -var gne = (r) => { - let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = hM(o, n, s, a); +var xW = { kernelName: es, backendName: "webgpu", kernelFunc: Xue }; +var Yue = (r) => { + let { backend: e, attrs: t10 } = r, { start: o, stop: n, step: s, dtype: a } = t10, i = XB(o, n, s, a); return e.makeTensorInfo([i.length], a, i); }; -var yB = { kernelName: Ts, backendName: "webgpu", kernelFunc: gne }; -var _I = Ze({ opType: ge.DIV }); -var bB = { kernelName: Zo, backendName: "webgpu", kernelFunc: _I }; -var xne = xe({ opType: X.RECIPROCAL }); -var CB = { kernelName: Fn, backendName: "webgpu", kernelFunc: xne }; -var yne = xe({ opType: X.RELU }); -var SB = { kernelName: On, backendName: "webgpu", kernelFunc: yne }; -var bne = xe({ opType: X.RELU6 }); -var wB = { kernelName: Ln, backendName: "webgpu", kernelFunc: bne }; -var Sx = class { +var yW = { kernelName: aa, backendName: "webgpu", kernelFunc: Yue }; +var Que = et({ opType: fe.DIV }); +var bW = { kernelName: dn, backendName: "webgpu", kernelFunc: Que }; +var Zue = xe({ opType: Q.RECIPROCAL }); +var CW = { kernelName: ts, backendName: "webgpu", kernelFunc: Zue }; +var Jue = xe({ opType: Q.RELU }); +var wW = { kernelName: rs, backendName: "webgpu", kernelFunc: Jue }; +var epe = xe({ opType: Q.RELU6 }); +var SW = { kernelName: ss, backendName: "webgpu", kernelFunc: epe }; +var Qx = class { constructor(e, t10, o) { - this.variableNames = ["x"], this.uniforms = "adjustHeightWidth : vec2, halfPixelCenters : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e[0], t10, o, e[3]], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "resizeBilinear"; + this.variableNames = ["x"], this.uniforms = "adjustHeightWidth : vec2, halfPixelCenters : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e[0], t10, o, e[3]], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "resizeBilinear"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -30211,19 +32090,107 @@ var Sx = class { `; } }; -function Cne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, size: a, halfPixelCenters: i } = o, [p, u] = a, c = s && p > 1 ? 1 : 0, l = s && u > 1 ? 1 : 0, d = [{ type: "float32", data: [c, l] }, { type: "float32", data: [i ? 0.5 : 0] }], f = new Sx(n.shape, p, u); +function tpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, size: a, halfPixelCenters: i } = o, [p, u] = a, c = s && p > 1 ? 1 : 0, l = s && u > 1 ? 1 : 0, d = [{ type: "float32", data: [c, l] }, { type: "float32", data: [i ? 0.5 : 0] }], f = new Qx(n.shape, p, u); return t10.runWebGPUProgram(f, [n], "float32", d); } -var IB = { kernelName: Mn, backendName: "webgpu", kernelFunc: Cne }; -var wx = class { +var IW = { kernelName: ns, backendName: "webgpu", kernelFunc: tpe }; +var Zx = class { + constructor(e, t10) { + this.variableNames = ["dy"], this.uniforms = `effectiveXSize : vec2, effectiveYSize : vec2, heightScale : f32, widthScale : f32, + invHeightScale : f32, invWidthScale : f32, winHeight : i32, winWidth : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.alignCorners = t10, this.shaderKey = `resizeBilinearBackprop_${t10}`; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(startRLerp - f32(uniforms.winHeight / 2)); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(startCLerp - f32(uniforms.winWidth / 2)); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let dxR = f32(dyR) * uniforms.heightScale; + let topDxRIndex = i32(floor(dxR)); + let bottomDxRIndex = i32(min(ceil(dxR), f32(uniforms.outShape[1] - 1))); + let dxRLerp = dxR - f32(topDxRIndex); + let inverseDxRLerp = 1.0 - dxRLerp; + + let dxC = f32(dyC) * uniforms.widthScale; + let leftDxCIndex = i32(floor(dxC)); + let rightDxCIndex = i32(min(ceil(dxC), f32(uniforms.outShape[2] - 1))); + let dxCLerp = dxC - f32(leftDxCIndex); + let inverseDxCLerp = 1.0 - dxCLerp; + + if (r == topDxRIndex && c == leftDxCIndex) { + // topLeft + accumulator += + getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp; + } + + if (r == topDxRIndex && c == rightDxCIndex) { + // topRight + accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp; + } + + if (r == bottomDxRIndex && c == leftDxCIndex) { + // bottomLeft + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp; + } + + if (r == bottomDxRIndex && c == rightDxCIndex) { + // bottomRight + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp; + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `; + } +}; +function rpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, [, i, p] = n.shape, [, u, c] = s.shape, l = [a && u > 1 ? i - 1 : i, a && c > 1 ? p - 1 : p], m = [a && u > 1 ? u - 1 : u, a && c > 1 ? c - 1 : c], d = l[0] / m[0], f = l[1] / m[1], h = 1 / d, g = 1 / f, x = Math.ceil(h) * 2 + 2, b = Math.ceil(g) * 2 + 2, w = new Zx(n.shape, a), S = [{ type: "int32", data: l }, { type: "int32", data: m }, { type: "float32", data: [d] }, { type: "float32", data: [f] }, { type: "float32", data: [h] }, { type: "float32", data: [g] }, { type: "int32", data: [x] }, { type: "int32", data: [b] }]; + return t10.runWebGPUProgram(w, [s], s.dtype, S); +} +var vW = { kernelName: qa, backendName: "webgpu", kernelFunc: rpe }; +var Jx = class { constructor(e, t10, o, n) { - this.variableNames = ["x"], this.uniforms = "adjustHeightWidth : vec2, roundBase : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e[0], t10, o, e[3]], this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.halfPixelCenters = n, this.shaderKey = `resizeNearest_${n}`; + this.variableNames = ["x"], this.uniforms = "adjustHeightWidth : vec2, roundBase : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = [e[0], t10, o, e[3]], this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.halfPixelCenters = n, this.shaderKey = `resizeNearest_${n}`; } getUserCode() { let e; return this.halfPixelCenters ? e = "max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))" : e = "vec2(rc) * effectiveInputOverOutputRatioRC", ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -30256,14 +32223,87 @@ var wx = class { `; } }; -function Sne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = s && p > 1 ? 1 : 0, l = s && u > 1 ? 1 : 0, d = [{ type: "float32", data: [c, l] }, { type: "float32", data: [s ? 0.5 : 0] }], f = new wx(n.shape, p, u, a); +function ope(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n } = e, { alignCorners: s, halfPixelCenters: a, size: i } = o, [p, u] = i, c = s && p > 1 ? 1 : 0, l = s && u > 1 ? 1 : 0, d = [{ type: "float32", data: [c, l] }, { type: "float32", data: [s ? 0.5 : 0] }], f = new Jx(n.shape, p, u, a); return t10.runWebGPUProgram(f, [n], n.dtype, d); } -var vB = { kernelName: Pn, backendName: "webgpu", kernelFunc: Sne }; -var Ix = class { +var kW = { kernelName: os, backendName: "webgpu", kernelFunc: ope }; +var ey = class { + constructor(e, t10) { + this.variableNames = ["dy"], this.uniforms = `effectiveXSize : vec2, effectiveYSize : vec2, invHeightScale : f32, invWidthScale : f32, + winHeight : i32, winWidth : i32,`, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.alignCorners = t10, this.shaderKey = `resizeNearestNeigborBackprop_${t10}`; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(floor(startRLerp - f32(uniforms.winHeight / 2))); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(floor(startCLerp - f32(uniforms.winWidth / 2))); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let sourceFracRow = f32(uniforms.effectiveXSize[0]) * + (f32(dyR) / f32(uniforms.effectiveYSize[0])); + + let sourceFracCol = f32(uniforms.effectiveXSize[1]) * + (f32(dyC) / f32(uniforms.effectiveYSize[1])); + + let sourceNearestRow = + i32(min(f32(uniforms.outShape[1] - 1), + ${this.alignCorners ? "floor(sourceFracRow + 0.5)" : "floor(sourceFracRow)"})); + + let sourceNearestCol = + i32(min(f32(uniforms.outShape[2] - 1), + ${this.alignCorners ? "floor(sourceFracCol + 0.5)" : "floor(sourceFracCol)"})); + + if (r == sourceNearestRow && c == sourceNearestCol) { + accumulator += getDy(b, dyR, dyC, d); + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `; + } +}; +function npe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { images: n, dy: s } = e, { alignCorners: a } = o, [, i, p] = n.shape, [, u, c] = s.shape, l = [a && u > 1 ? i - 1 : i, a && c > 1 ? p - 1 : p], m = [a && u > 1 ? u - 1 : u, a && c > 1 ? c - 1 : c], d = l[0] / m[0], f = l[1] / m[1], h = 1 / d, g = 1 / f, x = Math.ceil(h) * 2 + 2, b = Math.ceil(g) * 2 + 2, w = new ey(n.shape, a), S = [{ type: "int32", data: l }, { type: "int32", data: m }, { type: "float32", data: [h] }, { type: "float32", data: [g] }, { type: "int32", data: [x] }, { type: "int32", data: [b] }]; + return t10.runWebGPUProgram(w, [s], s.dtype, S); +} +var NW = { kernelName: Ka, backendName: "webgpu", kernelFunc: npe }; +var ty = class { constructor(e) { - this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = " axis : vec4,", this.shaderKey = "reverse"; + this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = " axis : vec4,", this.shaderKey = "reverse"; } getUserCode() { return ` @@ -30288,7 +32328,7 @@ var Ix = class { return reverseCoords; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let reverseCoords = getReverseCoords(coords); @@ -30299,10 +32339,10 @@ var Ix = class { `; } }; -function wne(r) { +function spe(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { dims: s } = o, a = n.shape.length; if (a === 0) - return Dt({ inputs: { x: n }, backend: t10 }); + return At({ inputs: { x: n }, backend: t10 }); let i = n.shape, p = [1, 1, 1, 1]; i.forEach((g, x) => { let b = x + 4 - a; @@ -30313,20 +32353,20 @@ function wne(r) { let x = g + 4 - a; c[x] = 1; }); - let l = [{ type: "int32", data: c }], m = me({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), d = new Ix(p), f = t10.runWebGPUProgram(d, [m], m.dtype, l); + let l = [{ type: "int32", data: c }], m = pe({ inputs: { x: n }, backend: t10, attrs: { shape: p } }), d = new ty(p), f = t10.runWebGPUProgram(d, [m], m.dtype, l); t10.disposeData(m.dataId); - let h = me({ inputs: { x: f }, backend: t10, attrs: { shape: i } }); + let h = pe({ inputs: { x: f }, backend: t10, attrs: { shape: i } }); return t10.disposeData(f.dataId), h; } -var kB = { kernelName: Bn, backendName: "webgpu", kernelFunc: wne }; -var vx = class { +var TW = { kernelName: as, backendName: "webgpu", kernelFunc: spe }; +var ry = class { constructor(e, t10) { - this.outputShape = [], this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = `centerX : f32, centerY : f32, sinRadians : f32, + this.outputShape = [], this.variableNames = ["x"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = `centerX : f32, centerY : f32, sinRadians : f32, cosRadians : f32,`, this.shaderKey = "rotate", this.outputShape = e, typeof t10 == "number" ? (this.uniforms += " fillValue : f32,", this.fillSnippet = "var outputValue = uniforms.fillValue;", this.shaderKey += "_float") : (this.uniforms += " fillValue : vec3,", this.fillSnippet = "var outputValue = uniforms.fillValue[coords[3]];", this.shaderKey += "_vec3"); } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordXFloat = (f32(coords[2]) - uniforms.centerX) * @@ -30348,18 +32388,18 @@ var vx = class { `; } }; -var NB = { kernelName: ts, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { - let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = new vx(o.shape, s), [u, c] = S.getImageCenter(a, o.shape[1], o.shape[2]), l = [{ type: "float32", data: [u] }, { type: "float32", data: [c] }, { type: "float32", data: [Math.sin(n)] }, { type: "float32", data: [Math.cos(n)] }]; +var _W = { kernelName: _s, backendName: "webgpu", kernelFunc: ({ inputs: r, attrs: e, backend: t10 }) => { + let { image: o } = r, { radians: n, fillValue: s, center: a } = e, i = t10, p = new ry(o.shape, s), [u, c] = C.getImageCenter(a, o.shape[1], o.shape[2]), l = [{ type: "float32", data: [u] }, { type: "float32", data: [c] }, { type: "float32", data: [Math.sin(n)] }, { type: "float32", data: [Math.cos(n)] }]; return typeof s == "number" ? l.push({ type: "float32", data: [Number.parseFloat(s.toFixed(2))] }) : l.push({ type: "float32", data: s }), i.runWebGPUProgram(p, [o], o.dtype, l); } }; -var Ine = xe({ opType: X.ROUND }); -var TB = { kernelName: Vn, backendName: "webgpu", kernelFunc: Ine }; -var vne = xe({ opType: X.RSQRT, cpuKernelImpl: gM }); -var _B = { kernelName: zn, backendName: "webgpu", kernelFunc: vne }; -var Hi = class { +var ape = xe({ opType: Q.ROUND }); +var $W = { kernelName: is, backendName: "webgpu", kernelFunc: ape }; +var ipe = xe({ opType: Q.RSQRT, cpuKernelImpl: YB }); +var EW = { kernelName: us, backendName: "webgpu", kernelFunc: ipe }; +var Aa = class { constructor(e, t10, o, n, s, a, i, p = true) { - this.variableNames = ["updates", "indices"], this.workgroupSize = [64, 1, 1], this.atomic = true, this.outputShape = a, this.type = i, this.sumDupeIndices = p, this.dispatchLayout = ae(e), this.dispatch = Y(this.dispatchLayout, e, this.workgroupSize), this.sliceDimGreaterThanOne = t10 > 1, this.shaderKey = `scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`; - let u = Rt(s.length); + this.variableNames = ["updates", "indices"], this.workgroupSize = [64, 1, 1], this.atomic = true, this.outputShape = a, this.type = i, this.sumDupeIndices = p, this.dispatchLayout = Z(e), this.dispatch = q(this.dispatchLayout, e, this.workgroupSize), this.sliceDimGreaterThanOne = t10 > 1, this.shaderKey = `scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`; + let u = Nt(s.length); this.uniforms = `sliceDim : i32, strides: ${u}, updatesSize: i32,`, this.updatesRank = n, this.indicesRank = o; } getUserCode() { @@ -30385,7 +32425,7 @@ var Hi = class { let i = `getUpdates(${Array.from({ length: this.updatesRank }, (u, c) => `coords[${c}]`).join(", ")})`; return ` ${s} - ${Q("index")} { + ${K("index")} { if (index < uniforms.updatesSize) { let coords = getUpdatesCoordsFromFlatIndex(index); var flattenedIndex = 0; @@ -30394,25 +32434,25 @@ var Hi = class { flattenedIndex = flattenedIndex + indexInside * ${o}; } let updateValue = - ${vc(this.type, false)}(${i}); + ${kp(this.type)}(${i}); let flatIndex = getOutputIndexFromCoords(${n}); - ${this.sumDupeIndices ? Ic("&result[flatIndex]", "updateValue", this.type) : "atomicStore(&result[flatIndex], bitcast(updateValue));"} + ${this.sumDupeIndices ? Bs("&result[flatIndex]", "updateValue", this.type) : "atomicStore(&result[flatIndex], bitcast(updateValue));"} } }`; } }; -function kne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = S.calculateShapes(s, n, a), m = [l / u, u]; +function upe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { indices: n, updates: s } = e, { shape: a } = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = C.calculateShapes(s, n, a), m = [l / u, u]; if (l === 0) return t10.makeTensorInfo(a, n.dtype); - let d = me({ inputs: { x: n }, backend: t10, attrs: { shape: [p, i] } }), f = me({ inputs: { x: s }, backend: t10, attrs: { shape: [p, u] } }), h = f.dtype, g = fr({ backend: t10, attrs: { shape: m, value: 0, dtype: h } }), x = y.sizeFromShape(f.shape), b = [{ type: "int32", data: [i] }, { type: "int32", data: c }, { type: "int32", data: [x] }], C = new Hi(f.shape, i, d.shape.length, f.shape.length, c, m, h), w = t10.runWebGPUProgram(C, [f, d], h, b, g), k = me({ inputs: { x: w }, backend: t10, attrs: { shape: a } }); - return t10.disposeData(d.dataId), t10.disposeData(f.dataId), t10.disposeData(w.dataId), k; + let d = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [p, i] } }), f = pe({ inputs: { x: s }, backend: t10, attrs: { shape: [p, u] } }), h = f.dtype, g = Vt({ backend: t10, attrs: { shape: m, value: 0, dtype: h } }), x = y.sizeFromShape(f.shape), b = [{ type: "int32", data: [i] }, { type: "int32", data: c }, { type: "int32", data: [x] }], w = new Aa(f.shape, i, d.shape.length, f.shape.length, c, m, h), S = t10.runWebGPUProgram(w, [f, d], h, b, g), k = pe({ inputs: { x: S }, backend: t10, attrs: { shape: a } }); + return t10.disposeData(d.dataId), t10.disposeData(f.dataId), t10.disposeData(S.dataId), k; } -var $B = { kernelName: Wn, backendName: "webgpu", kernelFunc: kne }; -var kx = class { +var RW = { kernelName: ps, backendName: "webgpu", kernelFunc: upe }; +var oy = class { constructor(e, t10) { - this.outputShape = [], this.variableNames = ["sortedSequence", "values"], this.uniforms = "numInputs : i32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.side = t10, this.shaderKey = `search_sorted_${t10}`; + this.outputShape = [], this.variableNames = ["sortedSequence", "values"], this.uniforms = "numInputs : i32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.side = t10, this.shaderKey = `search_sorted_${t10}`; } getUserCode() { return ` @@ -30430,7 +32470,7 @@ var kx = class { return right; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let value = getValuesByOutputIndex(index); @@ -30440,14 +32480,14 @@ var kx = class { `; } }; -function Nne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = new kx([s.shape[0], s.shape[1]], a), p = [{ type: "int32", data: [n.shape[1]] }]; +function ppe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sortedSequence: n, values: s } = e, { side: a } = o, i = new oy([s.shape[0], s.shape[1]], a), p = [{ type: "int32", data: [n.shape[1]] }]; return t10.runWebGPUProgram(i, [n, s], "int32", p); } -var EB = { kernelName: fi, backendName: "webgpu", kernelFunc: Nne }; -var Nx = class { +var DW = { kernelName: ls, backendName: "webgpu", kernelFunc: ppe }; +var ny = class { constructor(e, t10, o) { - this.variableNames = ["c", "a", "b"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.cRank = e, this.rank = o, this.shaderKey = "select"; + this.variableNames = ["c", "a", "b"], this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = t10, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.cRank = e, this.rank = o, this.shaderKey = "select"; } getUserCode() { let e, t10; @@ -30462,7 +32502,7 @@ var Nx = class { e = s.join(), t10 = a.join(); } return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let resRC = getCoordsFromIndex(index); let cVal = getC(${e}); @@ -30476,53 +32516,46 @@ var Nx = class { `; } }; -function Tne(r) { - let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e, a = new Nx(o.shape.length, n.shape, n.shape.length); +function cpe(r) { + let { inputs: e, backend: t10 } = r, { condition: o, t: n, e: s } = e, a = new ny(o.shape.length, n.shape, n.shape.length); return t10.runWebGPUProgram(a, [o, n, s], dt(n.dtype, s.dtype)); } -var AB = { kernelName: $s, backendName: "webgpu", kernelFunc: Tne }; -var _ne = xe({ opType: X.SELU }); -var RB = { kernelName: Ca, backendName: "webgpu", kernelFunc: _ne }; -var $ne = xe({ opType: X.SIGMOID }); -var DB = { kernelName: Gn, backendName: "webgpu", kernelFunc: $ne }; -var Ene = xe({ opType: X.SIGN }); -var FB = { kernelName: wa, backendName: "webgpu", kernelFunc: Ene }; -var Ane = xe({ opType: X.SIN }); -var OB = { kernelName: Un, backendName: "webgpu", kernelFunc: Ane }; -var Rne = xe({ opType: X.SINH }); -var PB = { kernelName: Sa, backendName: "webgpu", kernelFunc: Rne }; -var $I = Ze({ opType: ge.SUB, cpuKernelImpl: wM, supportsComplex: true }); -var MB = { kernelName: Yn, backendName: "webgpu", kernelFunc: $I }; -function Dne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { logits: n } = e, { dim: s } = o, a = y.parseAxisParam([s], n.shape), i = Hl({ inputs: { x: n }, backend: t10, attrs: { reductionIndices: a, keepDims: false } }), p = S.expandShapeToKeepDim(i.shape, a), u = me({ inputs: { x: i }, backend: t10, attrs: { shape: p } }), c = $I({ inputs: { a: n, b: u }, backend: t10 }), l = vI({ inputs: { x: c }, backend: t10 }), m = ql({ inputs: { x: l }, backend: t10, attrs: { axis: a, keepDims: false } }), d = me({ inputs: { x: m }, backend: t10, attrs: { shape: p } }), f = _I({ inputs: { a: l, b: d }, backend: t10 }); - return t10.disposeData(i.dataId), t10.disposeData(u.dataId), t10.disposeData(c.dataId), t10.disposeData(l.dataId), t10.disposeData(m.dataId), t10.disposeData(d.dataId), f; -} -var LB = { kernelName: qn, backendName: "webgpu", kernelFunc: Dne }; -var Fne = xe({ opType: X.SOFTPLUS }); -var BB = { kernelName: Ia, backendName: "webgpu", kernelFunc: Fne }; -var One = (r) => { +var AW = { kernelName: ua, backendName: "webgpu", kernelFunc: cpe }; +var lpe = xe({ opType: Q.SELU }); +var FW = { kernelName: ms, backendName: "webgpu", kernelFunc: lpe }; +var mpe = xe({ opType: Q.SIGMOID }); +var PW = { kernelName: hs, backendName: "webgpu", kernelFunc: mpe }; +var dpe = xe({ opType: Q.SIGN }); +var OW = { kernelName: fs, backendName: "webgpu", kernelFunc: dpe }; +var fpe = xe({ opType: Q.SIN }); +var MW = { kernelName: ds, backendName: "webgpu", kernelFunc: fpe }; +var hpe = xe({ opType: Q.SINH }); +var LW = { kernelName: ja, backendName: "webgpu", kernelFunc: hpe }; +var gpe = xe({ opType: Q.SOFTPLUS }); +var BW = { kernelName: gs, backendName: "webgpu", kernelFunc: gpe }; +var xpe = (r) => { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { blockShape: s, paddings: a } = o; y.assert(n.shape.length <= 4, () => "spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet"); let i = s.reduce((x, b) => x * b), p = [[0, 0]]; p.push(...a); for (let x = 1 + s.length; x < n.shape.length; ++x) p.push([0, 0]); - let u = [], c = TI({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), l = S.getReshaped(c.shape, s, i, false), m = S.getPermuted(l.length, s.length, false), d = S.getReshapedPermuted(c.shape, s, i, false), f = me({ inputs: { x: c }, backend: t10, attrs: { shape: l } }), h = Nr({ inputs: { x: f }, backend: t10, attrs: { perm: m } }), g = me({ inputs: { x: h }, backend: t10, attrs: { shape: d } }); + let u = [], c = qv({ inputs: { x: n }, backend: t10, attrs: { paddings: p, constantValue: 0 } }), l = C.getReshaped(c.shape, s, i, false), m = C.getPermuted(l.length, s.length, false), d = C.getReshapedPermuted(c.shape, s, i, false), f = pe({ inputs: { x: c }, backend: t10, attrs: { shape: l } }), h = rr({ inputs: { x: f }, backend: t10, attrs: { perm: m } }), g = pe({ inputs: { x: h }, backend: t10, attrs: { shape: d } }); return u.push(c), u.push(f), u.push(h), u.forEach((x) => t10.disposeData(x.dataId)), g; }; -var VB = { kernelName: As, backendName: "webgpu", kernelFunc: One }; -var Tx = class { +var zW = { kernelName: ca, backendName: "webgpu", kernelFunc: xpe }; +var sy = class { constructor(e, t10) { this.variableNames = ["A"], this.workgroupSize = [64, 1, 1], this.size = true; let o = new Array(e.length); for (let n = 0; n < o.length; n++) o[n] = e[n] * t10[n]; - this.outputShape = o, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.rank = this.outputShape.length, this.shaderKey = "tile"; + this.outputShape = o, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.rank = this.outputShape.length, this.shaderKey = "tile"; } getUserCode() { - let e = Pne(this.rank, "uniforms."); + let e = ype(this.rank, "uniforms."); return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let resRC = getCoordsFromIndex(index); setOutputAtIndex(index, getA(${e})); @@ -30531,7 +32564,7 @@ var Tx = class { `; } }; -function Pne(r, e = "") { +function ype(r, e = "") { if (r >= 5) throw Error(`Tile for rank ${r} is not yet supported`); if (r === 1) @@ -30541,73 +32574,73 @@ function Pne(r, e = "") { o.push(`(${t10[n]} % ${e}aShape[${n}])`); return o.join(); } -function EI(r) { +function gm(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { reps: s } = o; if (t10.shouldExecuteOnCPU([n]) || n.dtype === "string" || n.shape.length >= 5) { - let p = t10.readSync(n.dataId), u = n.dtype === "string" ? p.map((m) => y.decodeString(m)) : p, c = le(n.shape, n.dtype, u), l = IM(c, s); + let p = t10.readSync(n.dataId), u = n.dtype === "string" ? p.map((m) => y.decodeString(m)) : p, c = me(n.shape, n.dtype, u), l = oz(c, s); return t10.makeTensorInfo(l.shape, l.dtype, l.values); } - let a = new Tx(n.shape, s); + let a = new sy(n.shape, s); return t10.runWebGPUProgram(a, [n], n.dtype); } -var zB = { kernelName: to, backendName: "webgpu", kernelFunc: EI }; -function Mne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = S.calculateShapes(s, n, i), d = false; +var VW = { kernelName: so, backendName: "webgpu", kernelFunc: gm }; +function bpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { sparseIndices: n, sparseValues: s, defaultValue: a } = e, { outputShape: i } = o, { sliceRank: p, numUpdates: u, sliceSize: c, strides: l, outputSize: m } = C.calculateShapes(s, n, i), d = false; if (s.dtype === "string") { - let A = t10.bufferSync(n), R = t10.bufferSync(s), D = y.decodeString(t10.readSync(a.dataId)[0]), P = xM(A, R, i, m, c, u, p, l, D, d); - return t10.makeTensorInfo(i, P.dtype, P.values); + let R = t10.bufferSync(n), D = t10.bufferSync(s), F = y.decodeString(t10.readSync(a.dataId)[0]), O = QB(R, D, i, m, c, u, p, l, F, d); + return t10.makeTensorInfo(i, O.dtype, O.values); } - let f = [m / c, c], h = me({ inputs: { x: n }, backend: t10, attrs: { shape: [u, p] } }), g = s.shape.length ? me({ inputs: { x: s }, backend: t10, attrs: { shape: [u, c] } }) : Dt({ inputs: { x: s }, backend: t10 }), x = g.dtype, b = t10.makeTensorInfo([], x, y.makeZerosTypedArray(1, x)), C = me({ inputs: { x: a }, backend: t10, attrs: { shape: Array(f.length).fill(1) } }), w = EI({ inputs: { x: C }, backend: t10, attrs: { reps: f } }), k = y.sizeFromShape([u, c]), _ = [{ type: "int32", data: [p] }, { type: "int32", data: l }, { type: "int32", data: [k] }]; + let f = [m / c, c], h = pe({ inputs: { x: n }, backend: t10, attrs: { shape: [u, p] } }), g = s.shape.length ? pe({ inputs: { x: s }, backend: t10, attrs: { shape: [u, c] } }) : At({ inputs: { x: s }, backend: t10 }), x = g.dtype, b = t10.makeTensorInfo([], x, y.makeZerosTypedArray(1, x)), w = pe({ inputs: { x: a }, backend: t10, attrs: { shape: Array(f.length).fill(1) } }), S = gm({ inputs: { x: w }, backend: t10, attrs: { reps: f } }), k = y.sizeFromShape([u, c]), _ = [{ type: "int32", data: [p] }, { type: "int32", data: l }, { type: "int32", data: [k] }]; switch (u) { case 0: break; case 1: { - let A = new Hi([u, c], p, h.shape.length, g.shape.length, l, f, x, d); - t10.runWebGPUProgram(A, [g, h], x, _, w); + let R = new Aa([u, c], p, h.shape.length, g.shape.length, l, f, x, d); + t10.runWebGPUProgram(R, [g, h], x, _, S); } break; default: { - let A = new Hi([u, c], p, h.shape.length, b.shape.length, l, f, x, d); - t10.runWebGPUProgram(A, [b, h], x, _, w); + let R = new Aa([u, c], p, h.shape.length, b.shape.length, l, f, x, d); + t10.runWebGPUProgram(R, [b, h], x, _, S); } { - let A = new Hi([u, c], p, h.shape.length, g.shape.length, l, f, x); - t10.runWebGPUProgram(A, [g, h], x, _, w); + let R = new Aa([u, c], p, h.shape.length, g.shape.length, l, f, x); + t10.runWebGPUProgram(R, [g, h], x, _, S); } } - let E = me({ inputs: { x: w }, backend: t10, attrs: { shape: i } }); - return t10.disposeData(h.dataId), t10.disposeData(g.dataId), t10.disposeData(C.dataId), t10.disposeData(b.dataId), t10.disposeData(w.dataId), E; + let E = pe({ inputs: { x: S }, backend: t10, attrs: { shape: i } }); + return t10.disposeData(h.dataId), t10.disposeData(g.dataId), t10.disposeData(w.dataId), t10.disposeData(b.dataId), t10.disposeData(S.dataId), E; } -var WB = { kernelName: yi, backendName: "webgpu", kernelFunc: Mne }; -function Lne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = S.prepareSplitSize(n, s, i), u = n.shape.length, c = new Array(u).fill(0), l = n.shape.slice(); +var WW = { kernelName: Cs, backendName: "webgpu", kernelFunc: bpe }; +function Cpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { numOrSizeSplits: s, axis: a } = o, i = y.parseAxisParam(a, n.shape)[0], p = C.prepareSplitSize(n, s, i), u = n.shape.length, c = new Array(u).fill(0), l = n.shape.slice(); return p.map((m) => { let d = [...l]; d[i] = m; - let f = fs({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: d } }); + let f = zs({ inputs: { x: n }, backend: t10, attrs: { begin: c, size: d } }); return c[i] += m, f; }); } -var UB = { kernelName: Rs, backendName: "webgpu", kernelFunc: Lne }; -var Bne = xe({ opType: X.SQRT }); -var GB = { kernelName: Hn, backendName: "webgpu", kernelFunc: Bne }; -var HB = { kernelName: bi, backendName: "webgpu", kernelFunc: ({ inputs: r, backend: e }) => { - let { x: t10 } = r, o = e, n = new Hr(t10.shape, X.SQUARE); +var UW = { kernelName: la, backendName: "webgpu", kernelFunc: Cpe }; +var wpe = xe({ opType: Q.SQRT }); +var GW = { kernelName: xs, backendName: "webgpu", kernelFunc: wpe }; +var HW = { kernelName: Gi, backendName: "webgpu", kernelFunc: ({ inputs: r, backend: e }) => { + let { x: t10 } = r, o = e, n = new Xr(t10.shape, Q.SQUARE); return o.runWebGPUProgram(n, [t10], t10.dtype); } }; -var Vne = Ze({ opType: ge.SQUARED_DIFFERENCE }); -var KB = { kernelName: jn, backendName: "webgpu", kernelFunc: Vne }; -function zne({ inputs: r, attrs: e, backend: t10 }) { - let { x: o } = r, n = new Hr(o.shape, X.STEP, "stepAlpha : f32,"), s = [{ type: "float32", data: [e.alpha] }]; +var Spe = et({ opType: fe.SQUARED_DIFFERENCE }); +var KW = { kernelName: ws, backendName: "webgpu", kernelFunc: Spe }; +function Ipe({ inputs: r, attrs: e, backend: t10 }) { + let { x: o } = r, n = new Xr(o.shape, Q.STEP, "stepAlpha : f32,"), s = [{ type: "float32", data: [e.alpha] }]; return t10.runWebGPUProgram(n, [o], o.dtype, s); } -var qB = { kernelName: fo, backendName: "webgpu", kernelFunc: zne }; -var _x = class { +var qW = { kernelName: yo, backendName: "webgpu", kernelFunc: Ipe }; +var ay = class { constructor(e) { - this.variableNames = ["x"], this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]); - let t10 = Rt(this.outputShape.length); + this.variableNames = ["x"], this.workPerThread = 1, this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize, [this.workPerThread, 1, 1]); + let t10 = Nt(this.outputShape.length); this.uniforms = `begin : ${t10}, strides : ${t10}, `, this.shaderKey = "stridedSlice"; } getUserCode() { @@ -30619,7 +32652,7 @@ var _x = class { t10 = this.outputShape.map((s, a) => (n++, this.outputShape.length === 1 ? `coords * uniforms.strides[${a}] + uniforms.begin[${a}]` : `coords[${n - 1}] * uniforms.strides[${a}] + uniforms.begin[${a}]`)).join(","); } return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, getX(${t10})); @@ -30628,41 +32661,59 @@ var _x = class { `; } }; -function Wne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: C, strides: w } = ut.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; +function vpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { begin: s, end: a, strides: i, beginMask: p, endMask: u, ellipsisMask: c, newAxisMask: l, shrinkAxisMask: m } = o, { finalShapeSparse: d, finalShape: f, isIdentity: h, sliceDim0: g, isSimpleSlice: x, begin: b, end: w, strides: S } = ct.sliceInfo(n.shape, s, a, i, p, u, c, l, m), k; if (h) - k = me({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); + k = pe({ inputs: { x: n }, backend: t10, attrs: { shape: f } }); else if (g || x) { y.assert(n.shape.length >= 1, () => `Input must have rank at least 1, got: ${n.shape.length}`); - let _ = ut.computeOutShape(b, C, w), E = fs({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: _ } }); - k = me({ inputs: { x: E }, backend: t10, attrs: { shape: f } }), t10.disposeData(E.dataId); + let _ = ct.computeOutShape(b, w, S), E = zs({ inputs: { x: n }, backend: t10, attrs: { begin: b, size: _ } }); + k = pe({ inputs: { x: E }, backend: t10, attrs: { shape: f } }), t10.disposeData(E.dataId); } else if (t10.shouldExecuteOnCPU([n])) { - let E = t10.readSync(n.dataId), A = le(n.shape, n.dtype, E), R = CM(d, A, w, b); - k = t10.makeTensorInfo(f, n.dtype, R.values); + let E = t10.readSync(n.dataId), R = me(n.shape, n.dtype, E), D = ez(d, R, S, b); + k = t10.makeTensorInfo(f, n.dtype, D.values); } else { - let E = new _x(d), A = [{ type: "int32", data: b }, { type: "int32", data: w }], R = t10.runWebGPUProgram(E, [n], n.dtype, A); - k = me({ inputs: { x: R }, backend: t10, attrs: { shape: f } }), t10.disposeData(R.dataId); + let E = new ay(d), R = [{ type: "int32", data: b }, { type: "int32", data: S }], D = t10.runWebGPUProgram(E, [n], n.dtype, R); + k = pe({ inputs: { x: D }, backend: t10, attrs: { shape: f } }), t10.disposeData(D.dataId); } return k; } -var jB = { kernelName: Xn, backendName: "webgpu", kernelFunc: Wne }; -function Une(r) { - let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.readSync(c.dataId), d = t10.readSync(l.dataId), [f, h] = SM(m, d, n, s, a, i, p, u); +var jW = { kernelName: Ss, backendName: "webgpu", kernelFunc: vpe }; +function kpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { separator: n, nGramWidths: s, leftPad: a, rightPad: i, padWidth: p, preserveShortSequences: u } = o, { data: c, dataSplits: l } = e, m = t10.readSync(c.dataId), d = t10.readSync(l.dataId), [f, h] = tz(m, d, n, s, a, i, p, u); return [t10.makeTensorInfo([f.length], "string", f), t10.makeTensorInfo(l.shape, "int32", h)]; } -var XB = { kernelName: Ds, backendName: "webgpu", kernelFunc: Une }; -var Gne = xe({ opType: X.TAN }); -var YB = { kernelName: Qn, backendName: "webgpu", kernelFunc: Gne }; -var Hne = xe({ opType: X.TANH }); -var QB = { kernelName: Zn, backendName: "webgpu", kernelFunc: Hne }; -var $x = class { +var XW = { kernelName: ma, backendName: "webgpu", kernelFunc: kpe }; +var Npe = et({ opType: fe.SUB, cpuKernelImpl: rz, supportsComplex: true }); +var YW = { kernelName: Is, backendName: "webgpu", kernelFunc: Npe }; +var Tpe = xe({ opType: Q.TAN }); +var QW = { kernelName: vs, backendName: "webgpu", kernelFunc: Tpe }; +var _pe = xe({ opType: Q.TANH }); +var ZW = { kernelName: ks, backendName: "webgpu", kernelFunc: _pe }; +function $pe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { tensor: n, indices: s, updates: a } = e, {} = o, { sliceRank: i, numUpdates: p, sliceSize: u, strides: c, outputSize: l } = C.calculateShapes(a, s, n.shape), m = [l / u, u]; + if (l === 0) + return t10.makeTensorInfo(n.shape, s.dtype); + let d = [], f = pe({ inputs: { x: s }, backend: t10, attrs: { shape: [p, i] } }); + d.push(f); + let h = pe({ inputs: { x: a }, backend: t10, attrs: { shape: [p, u] } }); + d.push(h); + let g = pe({ inputs: { x: n }, backend: t10, attrs: { shape: m } }); + d.push(g); + let x = gm({ inputs: { x: g }, backend: t10, attrs: { reps: Array(m.length).fill(1) } }), b = new Aa([p, u], i, f.shape.length, h.shape.length, c, m, n.dtype, false), w = y.sizeFromShape([p, u]), S = [{ type: "int32", data: [i] }, { type: "int32", data: c }, { type: "int32", data: [w] }], k = t10.runWebGPUProgram(b, [h, f], g.dtype, S, x); + d.push(k); + let _ = pe({ inputs: { x: k }, backend: t10, attrs: { shape: n.shape } }); + return d.forEach((E) => t10.disposeData(E.dataId)), _; +} +var JW = { kernelName: cs, backendName: "webgpu", kernelFunc: $pe }; +var iy = class { constructor(e) { - this.variableNames = ["x", "indices"], this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = `inputSize : i32, firstPass : i32, negativeInf : f32, + this.variableNames = ["x", "indices"], this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = `inputSize : i32, firstPass : i32, negativeInf : f32, dir : i32, inc : i32,`, this.shaderKey = "swap"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -30731,13 +32782,13 @@ var $x = class { `; } }; -var Ex = class { +var uy = class { constructor(e) { - this.variableNames = ["x", "indices"], this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = "inputSize : i32, firstPass : i32, k : i32,", this.shaderKey = "merge"; + this.variableNames = ["x", "indices"], this.workgroupSize = [256, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.uniforms = "inputSize : i32, firstPass : i32, k : i32,", this.shaderKey = "merge"; } getUserCode() { return ` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -30798,28 +32849,28 @@ var Ex = class { `; } }; -function Rc(r, e) { +function Jc(r, e) { e !== null && r.disposeData(e.dataId); } -function ZB(r) { +function eU(r) { let e = 1; for (; e < r; ) e *= 2; return e; } -function Kne(r) { +function Epe(r) { let { inputs: e, backend: t10, attrs: o } = r, { x: n } = e, { k: s, sorted: a } = o, i = n.shape, p = i[i.length - 1]; if (t10.shouldExecuteOnCPU([n])) { - let k = t10.readSync(n.dataId), [_, E] = vM(k, i, n.dtype, s, a); + let k = t10.readSync(n.dataId), [_, E] = nz(k, i, n.dtype, s, a); return [t10.makeTensorInfo(_.shape, _.dtype, _.values), t10.makeTensorInfo(E.shape, E.dtype, E.values)]; } if (s === 0) return i[i.length - 1] = 0, [t10.makeTensorInfo(i, n.dtype, []), t10.makeTensorInfo(i, "int32", [])]; if (p === 1) - return [n, fr({ attrs: { shape: i, dtype: "int32", value: 0 }, backend: t10 })]; - let c = y.sizeFromShape(i) / p, l = me({ inputs: { x: n }, attrs: { shape: [c, p] }, backend: t10 }), m = ZB(s), d = ZB(p), f = null, h = () => f === null ? [l, l] : [l, f], g = (k, _, E) => { - let A = h(), R = new $x(E), P = [{ type: "int32", data: [p] }, { type: "int32", data: [f === null ? 1 : 0] }, { type: "float32", data: [Number.NEGATIVE_INFINITY] }, { type: "int32", data: [k] }, { type: "int32", data: [_] }], M = f; - f = t10.runWebGPUProgram(R, A, "int32", P), Rc(t10, M); + return [n, Vt({ attrs: { shape: i, dtype: "int32", value: 0 }, backend: t10 })]; + let c = y.sizeFromShape(i) / p, l = pe({ inputs: { x: n }, attrs: { shape: [c, p] }, backend: t10 }), m = eU(s), d = eU(p), f = null, h = () => f === null ? [l, l] : [l, f], g = (k, _, E) => { + let R = h(), D = new iy(E), O = [{ type: "int32", data: [p] }, { type: "int32", data: [f === null ? 1 : 0] }, { type: "float32", data: [Number.NEGATIVE_INFINITY] }, { type: "int32", data: [k] }, { type: "int32", data: [_] }], M = f; + f = t10.runWebGPUProgram(D, R, "int32", O), Jc(t10, M); }; for (let k = 1; k < m; k *= 2) { let _ = k * 2; @@ -30827,25 +32878,25 @@ function Kne(r) { g(_, E, [c, d]); } for (let k = d; k > m; k /= 2) { - let _ = h(), E = new Ex([c, k / 2]), R = [{ type: "int32", data: [p] }, { type: "int32", data: [f === null ? 1 : 0] }, { type: "int32", data: [m] }], D = f; - f = t10.runWebGPUProgram(E, _, "int32", R), Rc(t10, D); - let P = m / 2, M = P * 2; - for (let L = P; L >= 1; L /= 2) + let _ = h(), E = new uy([c, k / 2]), D = [{ type: "int32", data: [p] }, { type: "int32", data: [f === null ? 1 : 0] }, { type: "int32", data: [m] }], F = f; + f = t10.runWebGPUProgram(E, _, "int32", D), Jc(t10, F); + let O = m / 2, M = O * 2; + for (let L = O; L >= 1; L /= 2) g(M, L, f.shape); } let x = f; - f = fs({ inputs: { x: f }, backend: t10, attrs: { begin: 0, size: [c, s] } }), Rc(t10, x); - let b = NI({ inputs: { x: l, indices: f }, backend: t10, attrs: { axis: 1, batchDims: 1 } }); - Rc(t10, l); - let C = i.slice(0, -1); - C.push(s), x = f, f = me({ inputs: { x: f }, attrs: { shape: C }, backend: t10 }), Rc(t10, x); - let w = b; - return b = me({ inputs: { x: b }, attrs: { shape: C }, backend: t10 }), Rc(t10, w), [b, f]; + f = zs({ inputs: { x: f }, backend: t10, attrs: { begin: 0, size: [c, s] } }), Jc(t10, x); + let b = Hv({ inputs: { x: l, indices: f }, backend: t10, attrs: { axis: 1, batchDims: 1 } }); + Jc(t10, l); + let w = i.slice(0, -1); + w.push(s), x = f, f = pe({ inputs: { x: f }, attrs: { shape: w }, backend: t10 }), Jc(t10, x); + let S = b; + return b = pe({ inputs: { x: b }, attrs: { shape: w }, backend: t10 }), Jc(t10, S), [b, f]; } -var JB = { kernelName: Jn, backendName: "webgpu", kernelFunc: Kne }; -var Ax = class { +var tU = { kernelName: Ns, backendName: "webgpu", kernelFunc: Epe }; +var py = class { constructor(e) { - this.variableNames = ["Image", "Transforms"], this.uniforms = "interpolationModeId : i32, fillModeId : i32, fillValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = ae(this.outputShape), this.dispatch = Y(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "transform"; + this.variableNames = ["Image", "Transforms"], this.uniforms = "interpolationModeId : i32, fillModeId : i32, fillValue : f32,", this.workgroupSize = [64, 1, 1], this.size = true, this.outputShape = e, this.dispatchLayout = Z(this.outputShape), this.dispatch = q(this.dispatchLayout, this.outputShape, this.workgroupSize), this.shaderKey = "transform"; } getUserCode() { return ` @@ -30912,7 +32963,7 @@ var Ax = class { return outputValue; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var outputValue : f32; @@ -30967,30 +33018,30 @@ var Ax = class { `; } }; -function qne(r) { - let { inputs: e, backend: t10, attrs: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new Ax(g), b = a === "nearest" ? 1 : 2, C; +function Rpe(r) { + let { inputs: e, backend: t10, attrs: o } = r, { image: n, transforms: s } = e, { interpolation: a, fillMode: i, fillValue: p, outputShape: u } = o, [c, l, m, d] = n.shape, [f, h] = u != null ? u : [l, m], g = [c, f, h, d], x = new py(g), b = a === "nearest" ? 1 : 2, w; switch (i) { case "constant": - C = 1; + w = 1; break; case "reflect": - C = 2; + w = 2; break; case "wrap": - C = 3; + w = 3; break; case "nearest": - C = 4; + w = 4; break; default: - C = 1; + w = 1; break; } - let w = [{ type: "int32", data: [b] }, { type: "int32", data: [C] }, { type: "float32", data: [p] }]; - return t10.runWebGPUProgram(x, [n, s], "float32", w); + let S = [{ type: "int32", data: [b] }, { type: "int32", data: [w] }, { type: "float32", data: [p] }]; + return t10.runWebGPUProgram(x, [n, s], "float32", S); } -var eV = { kernelName: es, backendName: "webgpu", kernelFunc: qne }; -function jne(r) { +var rU = { kernelName: Ts, backendName: "webgpu", kernelFunc: Rpe }; +function Dpe(r) { let { inputs: e, backend: t10, attrs: o } = r, { value: n } = e, { axis: s } = o; s < 0 && (s += n.shape.length); let a = n, i = a.shape.length, p = n.shape[s], u = new Array(i - 1), c = 0; @@ -31001,22 +33052,65 @@ function jne(r) { let f = new Array(p); for (let h = 0; h < f.length; h++) { m[s] = h; - let g = fs({ inputs: { x: a }, backend: t10, attrs: { begin: m, size: d } }), x = me({ inputs: { x: g }, backend: t10, attrs: { shape: u } }); + let g = zs({ inputs: { x: a }, backend: t10, attrs: { begin: m, size: d } }), x = pe({ inputs: { x: g }, backend: t10, attrs: { shape: u } }); f[h] = x, l.push(g); } return l.forEach((h) => t10.disposeData(h.dataId)), f; } -var tV = { kernelName: Fs, backendName: "webgpu", kernelFunc: jne }; -var Xne = [G3, NM, TM, _M, $M, EM, RM, DM, FM, OM, PM, MM, LM, BM, VM, UM, GM, HM, qM, jM, ZM, JM, eL, K3, rL, oL, nL, sL, aL, iL, uL, lL, mL, dL, fL, hL, gL, xL, CL, SL, wL, IL, vL, kL, NL, TL, W3, _L, AL, $L, EL, RL, DL, FL, OL, PL, ML, LL, H3, BL, tL, VL, zL, WL, UL, GL, HL, KL, jL, qL, XL, YL, QL, JL, zM, eB, tB, WM, rB, oB, nB, sB, yL, aB, iB, uB, XM, pB, mB, dB, fB, hB, gB, xB, yB, YM, bB, CB, SB, wB, U3, IB, vB, kB, NB, TB, _B, $B, EB, AB, RB, DB, FB, OB, PB, KM, qB, jB, XB, LB, BB, VB, WB, UB, GB, HB, KB, MB, bL, YB, QB, zB, JB, eV, AM, tV, cB]; -for (let r of Xne) - ka(r); -var rV = "4.2.0"; -var Yne = "4.2.0"; -var Qne = "4.2.0"; -var Zne = "4.2.0"; -var Jne = "4.2.0"; -var ese = "0.0.1-alpha.17"; -var tse = { tfjs: rV, "tfjs-core": rV, "tfjs-converter": Yne, "tfjs-backend-cpu": Qne, "tfjs-backend-webgl": Zne, "tfjs-backend-wasm": Jne, "tfjs-backend-webgpu": ese }; +var oU = { kernelName: da, backendName: "webgpu", kernelFunc: Dpe }; +var cy = class { + constructor(e, t10, o) { + if (this.outputShape = [], this.variableNames = ["x", "segmentIds"], this.uniforms = "numSegments : i32, xSize: i32,", this.workgroupSize = [64, 1, 1], this.atomic = true, this.outputShape = t10, this.dispatchLayout = Z(e), this.dispatch = q(this.dispatchLayout, e, this.workgroupSize), o !== "float32" && o !== "int32") + throw new Error(`UnsortedSegmentSum only supports float32 and int32 + types, does not support ${o} type.`); + this.type = o, this.shaderKey = "unsortedSegmentSum"; + } + getUserCode() { + return ` + ${K("index")} { + if (index < uniforms.xSize) { + let coords = getXCoordsFromIndex(index); + let b = coords[0]; + let inCol = coords[1]; + + let segmentId = i32(getSegmentIds(inCol)); + if (segmentId >= 0) { + let flatIndex = b * uniforms.numSegments + segmentId % uniforms.numSegments; + let value = getX(b, inCol); + + ${Bs("&result[flatIndex]", "value", this.type)} + } + } + } + `; + } +}; +function Ape(r) { + let { inputs: e, backend: t10, attrs: o } = r, { x: n, segmentIds: s } = e, { numSegments: a } = o, i = n.shape.length, p = [], u = 0, c = C.getAxesPermutation([u], i), l = n; + c != null && (l = rr({ inputs: { x: n }, backend: t10, attrs: { perm: c } }), p.push(l), u = C.getInnerMostAxes(1, i)[0]); + let m = C.segment_util.computeOutShape(l.shape, u, a), d = y.sizeFromShape([l.shape[u]]), f = pe({ inputs: { x: l }, backend: t10, attrs: { shape: [-1, d] } }); + p.push(f); + let h = n.dtype, g = [f.shape[0], a], x = Vt({ backend: t10, attrs: { shape: g, value: 0, dtype: h } }), b = new cy(f.shape, g, h), w = [{ type: "int32", data: [a] }, { type: "int32", data: [y.sizeFromShape(f.shape)] }], S = t10.runWebGPUProgram(b, [f, s], h, w, x), k = pe({ inputs: { x: S }, backend: t10, attrs: { shape: m } }); + p.push(S); + let _ = k; + if (c != null) { + p.push(k); + let E = C.getUndoAxesPermutation(c); + _ = rr({ inputs: { x: _ }, backend: t10, attrs: { perm: E } }); + } + return p.forEach((E) => t10.disposeData(E.dataId)), _; +} +var nU = { kernelName: ji, backendName: "webgpu", kernelFunc: Ape }; +var Fpe = [IB, az, iz, uz, pz, cz, mz, dz, fz, hz, gz, xz, yz, bz, Cz, Iz, vz, kz, Nz, Tz, $z, Ez, Rz, Pz, Oz, Mz, kB, Bz, Vz, Wz, Uz, Gz, Hz, Kz, qz, jz, Xz, Yz, Jz, eV, tV, rV, nV, sV, oV, aV, iV, uV, pV, mV, dV, fV, hV, gV, xV, yV, bV, CV, wB, wV, vV, SV, IV, kV, NV, TV, _V, $V, EV, RV, vB, DV, zz, AV, FV, PV, OV, MV, LV, BV, VV, zV, WV, UV, GV, KV, qV, wz, jV, XV, ZV, YV, QV, JV, Sz, eW, tW, rW, oW, sW, cV, aW, iW, uW, Dz, pW, mW, dW, fW, hW, gW, xW, yW, Az, bW, CW, wW, SW, SB, IW, vW, kW, NW, TW, _W, $W, EW, RW, DW, AW, FW, PW, OW, MW, LW, _z, qW, jW, XW, nW, BW, zW, WW, UW, GW, HW, KW, YW, lV, QW, ZW, JW, VW, tU, rU, lz, oU, nU, cW]; +for (let r of Fpe) + Ya(r); +var sU = "4.5.0"; +var Ppe = "4.5.0"; +var Ope = "4.5.0"; +var Mpe = "4.5.0"; +var Lpe = "4.5.0"; +var Bpe = "0.0.1-alpha.20"; +var zpe = { tfjs: sU, "tfjs-core": sU, "tfjs-converter": Ppe, "tfjs-backend-cpu": Ope, "tfjs-backend-webgl": Mpe, "tfjs-backend-wasm": Lpe, "tfjs-backend-webgpu": Bpe }; // src/util/util.ts function log(...msg) { @@ -31501,20 +33595,20 @@ function GLImageFilter() { }, saturation: (amount) => { const x = (amount || 0) * 2 / 3 + 1; - const y6 = (x - 1) * -0.5; + const y5 = (x - 1) * -0.5; filter.colorMatrix([ x, - y6, - y6, + y5, + y5, 0, 0, - y6, + y5, x, - y6, + y5, 0, 0, - y6, - y6, + y5, + y5, x, 0, 0, @@ -31529,22 +33623,22 @@ function GLImageFilter() { filter.saturation(-1); }, contrast: (amount) => { - const v10 = (amount || 0) + 1; - const o = -128 * (v10 - 1); + const v5 = (amount || 0) + 1; + const o = -128 * (v5 - 1); filter.colorMatrix([ - v10, + v5, 0, 0, 0, o, 0, - v10, + v5, 0, 0, o, 0, 0, - v10, + v5, 0, o, 0, @@ -31915,24 +34009,24 @@ function GLImageFilter() { // src/image/enhance.ts async function histogramEqualization(inputImage) { - const squeeze = inputImage.shape.length === 4 ? Up(inputImage) : inputImage; - const rgb3 = Oa(squeeze, 3, 2); - const min = [rl(rgb3[0]), rl(rgb3[1]), rl(rgb3[2])]; - const max = [Gs(rgb3[0]), Gs(rgb3[1]), Gs(rgb3[2])]; + const squeeze = inputImage.shape.length === 4 ? lc(inputImage) : inputImage; + const rgb3 = ai(squeeze, 3, 2); + const min = [vl(rgb3[0]), vl(rgb3[1]), vl(rgb3[2])]; + const max = [Ia(rgb3[0]), Ia(rgb3[1]), Ia(rgb3[2])]; const absMax = await Promise.all(max.map((channel) => channel.data())); const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]); const maxRange = maxValue > 1 ? 255 : 1; const factor = maxRange / maxValue; let final; if (factor > 1) { - const sub = [ke(rgb3[0], min[0]), ke(rgb3[1], min[1]), ke(rgb3[2], min[2])]; - const range = [ke(max[0], min[0]), ke(max[1], min[1]), ke(max[2], min[2])]; - const enh = [ne(sub[0], factor), ne(sub[1], factor), ne(sub[2], factor)]; - const stack = Sr([enh[0], enh[1], enh[2]], 2); + const sub = [Te(rgb3[0], min[0]), Te(rgb3[1], min[1]), Te(rgb3[2], min[2])]; + const range = [Te(max[0], min[0]), Te(max[1], min[1]), Te(max[2], min[2])]; + const enh = [se(sub[0], factor), se(sub[1], factor), se(sub[2], factor)]; + const stack = vr([enh[0], enh[1], enh[2]], 2); final = W(stack, [1, squeeze.shape[0] || 0, squeeze.shape[1] || 0, 3]); - Ot([...sub, ...range, ...enh]); + Ot([...sub, ...range, ...enh, stack]); } else { - final = Ra(squeeze, 0); + final = oi(squeeze, 0); } Ot([...rgb3, ...min, ...max, rgb3, squeeze, inputImage]); return final; @@ -31994,16 +34088,16 @@ function copy(input, output) { return outputCanvas; } async function process2(input, config3, getTensor = true) { - var _a2, _b2, _c2; + var _a2, _b, _c2; if (!input) { if (config3.debug) log("input error: input is missing"); return { tensor: null, canvas: null }; } - if (!(input instanceof it) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { + if (!(input instanceof pt) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { throw new Error("input error: type not recognized"); } - if (input instanceof it) { + if (input instanceof pt) { let tensor2 = null; if (input["isDisposedInternal"]) throw new Error("input error: attempted to use tensor but it is disposed"); @@ -32011,23 +34105,23 @@ async function process2(input, config3, getTensor = true) { throw new Error("input error: attempted to use tensor without a shape"); if (input.shape.length === 3) { if (input.shape[2] === 3) { - tensor2 = Ra(input, 0); + tensor2 = oi(input, 0); } else if (input.shape[2] === 4) { - const rgb3 = Qk(input, [0, 0, 0], [-1, -1, 3]); - tensor2 = Ra(rgb3, 0); + const rgb3 = g1(input, [0, 0, 0], [-1, -1, 3]); + tensor2 = oi(rgb3, 0); Ot(rgb3); } } else if (input.shape.length === 4) { if (input.shape[3] === 3) { - tensor2 = Lr(input); + tensor2 = Vr(input); } else if (input.shape[3] === 4) { - tensor2 = Zk(input, [0, 0, 0, 0], [-1, -1, -1, 3]); + tensor2 = x1(input, [0, 0, 0, 0], [-1, -1, -1, 3]); } } if (tensor2 == null || tensor2.shape.length !== 4 || tensor2.shape[0] !== 1 || tensor2.shape[3] !== 3) throw new Error(`input error: attempted to use tensor with unrecognized shape: ${input.shape.toString()}`); if (tensor2.dtype === "int32") { - const cast = je(tensor2, "float32"); + const cast = Ye(tensor2, "float32"); Ot(tensor2); tensor2 = cast; } @@ -32057,7 +34151,7 @@ async function process2(input, config3, getTensor = true) { } if ((((_a2 = config3.filter) == null ? void 0 : _a2.width) || 0) > 0) targetWidth = config3.filter.width; - else if ((((_b2 = config3.filter) == null ? void 0 : _b2.height) || 0) > 0) + else if ((((_b = config3.filter) == null ? void 0 : _b.height) || 0) > 0) targetWidth = originalWidth * ((config3.filter.height || 0) / originalHeight); if ((config3.filter.height || 0) > 0) targetHeight = config3.filter.height; @@ -32140,22 +34234,22 @@ async function process2(input, config3, getTensor = true) { let pixels; let depth = 3; if (typeof ImageData !== "undefined" && input instanceof ImageData || input.data && input.width && input.height) { - if (env.browser && gN) { - pixels = gN ? gN.fromPixels(input) : null; + if (env.browser && MN) { + pixels = MN ? MN.fromPixels(input) : null; } else { depth = input.data.length / input.height / input.width; const arr = new Uint8Array(input.data.buffer); - pixels = nr(arr, [input.height, input.width, depth], "int32"); + pixels = ir(arr, [input.height, input.width, depth], "int32"); } } else { if (!tmpCanvas || outCanvas.width !== tmpCanvas.width || outCanvas.height !== tmpCanvas.height) tmpCanvas = canvas(outCanvas.width, outCanvas.height); - if (gN && env.browser) { + if (MN && env.browser) { if (config3.backend === "webgl" || config3.backend === "humangl" || config3.backend === "webgpu") { - pixels = gN.fromPixels(outCanvas); + pixels = MN.fromPixels(outCanvas); } else { tmpCanvas = copy(outCanvas); - pixels = gN.fromPixels(tmpCanvas); + pixels = MN.fromPixels(tmpCanvas); } } else { const tempCanvas = copy(outCanvas); @@ -32163,21 +34257,21 @@ async function process2(input, config3, getTensor = true) { const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight); depth = tempData.data.length / targetWidth / targetHeight; const arr = new Uint8Array(tempData.data.buffer); - pixels = nr(arr, [targetWidth, targetHeight, depth]); + pixels = ir(arr, [targetWidth, targetHeight, depth]); } } if (depth === 4) { - const rgb3 = Qk(pixels, [0, 0, 0], [-1, -1, 3]); + const rgb3 = g1(pixels, [0, 0, 0], [-1, -1, 3]); Ot(pixels); pixels = rgb3; } if (!pixels) throw new Error("input error: cannot create tensor"); - const casted = je(pixels, "float32"); - const tensor = config3.filter.equalization ? await histogramEqualization(casted) : Ra(casted, 0); + const casted = Ye(pixels, "float32"); + const tensor = config3.filter.equalization ? await histogramEqualization(casted) : oi(casted, 0); Ot([pixels, casted]); if (config3.filter.autoBrightness) { - const max = Gs(tensor); + const max = Ia(tensor); const maxVal = await max.data(); config3.filter.brightness = maxVal[0] > 1 ? 1 - maxVal[0] / 255 : 1 - maxVal[0]; Ot(max); @@ -32189,19 +34283,19 @@ async function skip(config3, input) { if (config3.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) return skipFrame; if (!last.inputTensor) { - last.inputTensor = Lr(input); + last.inputTensor = Vr(input); } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { Ot(last.inputTensor); - last.inputTensor = Lr(input); + last.inputTensor = Vr(input); } else { const t10 = {}; - t10.diff = ke(input, last.inputTensor); - t10.squared = ne(t10.diff, t10.diff); - t10.sum = et(t10.squared); + t10.diff = Te(input, last.inputTensor); + t10.squared = se(t10.diff, t10.diff); + t10.sum = ot(t10.squared); const diffSum = await t10.sum.data(); const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; Ot([last.inputTensor, t10.diff, t10.squared, t10.sum]); - last.inputTensor = Lr(input); + last.inputTensor = Vr(input); skipFrame = diffRelative <= (config3.cacheSensitivity || 0); } return skipFrame; @@ -32218,11 +34312,11 @@ async function compare(config3, input1, input2) { log("input tensors must be of shape [1, height, width, 3]:", input1.shape, input2.shape); return 0; } - t10.input1 = Lr(input1); - t10.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? eK.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : Lr(input2); - t10.diff = ke(t10.input1, t10.input2); - t10.squared = ne(t10.diff, t10.diff); - t10.sum = et(t10.squared); + t10.input1 = Vr(input1); + t10.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? uj.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : Vr(input2); + t10.diff = Te(t10.input1, t10.input2); + t10.squared = se(t10.diff, t10.diff); + t10.sum = ot(t10.squared); const diffSum = await t10.sum.data(); const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3; Ot([t10.input1, t10.input2, t10.diff, t10.squared, t10.sum]); @@ -32295,7 +34389,7 @@ var Env = class { __privateAdd(this, _imageData, void 0); this.browser = typeof navigator !== "undefined"; this.node = typeof process !== "undefined" && typeof process.versions !== "undefined" && typeof process.versions.node !== "undefined"; - this.tfjs = { version: tse["tfjs-core"] }; + this.tfjs = { version: zpe["tfjs-core"] }; this.offscreen = typeof OffscreenCanvas !== "undefined"; this.initial = true; this.worker = this.browser && this.offscreen ? typeof WorkerGlobalScope !== "undefined" : void 0; @@ -32340,19 +34434,19 @@ var Env = class { } /** update backend information */ async updateBackend() { - this.backends = Object.keys(sr().registryFactory); + this.backends = Object.keys(ur().registryFactory); try { this.tensorflow = { - version: Pie()["binding"] ? Pie()["binding"].TF_Version : void 0, - gpu: Pie()["binding"] ? Pie()["binding"].isUsingGpuDevice() : void 0 + version: Tme()["binding"] ? Tme()["binding"].TF_Version : void 0, + gpu: Tme()["binding"] ? Tme()["binding"].isUsingGpuDevice() : void 0 }; } catch (e) { } this.wasm.supported = typeof WebAssembly !== "undefined"; this.wasm.backend = this.backends.includes("wasm"); if (this.wasm.supported && this.wasm.backend) { - this.wasm.simd = await O().getAsync("WASM_HAS_SIMD_SUPPORT"); - this.wasm.multithread = await O().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + this.wasm.simd = await P().getAsync("WASM_HAS_SIMD_SUPPORT"); + this.wasm.multithread = await P().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); } const c = canvas(100, 100); const gl2 = c ? c.getContext("webgl2") : void 0; @@ -32375,7 +34469,7 @@ var Env = class { this.webgpu.supported = false; } try { - this.kernels = Rm(Rie()).map((kernel) => kernel.kernelName.toLowerCase()); + this.kernels = Km(Ime()).map((kernel) => kernel.kernelName.toLowerCase()); } catch (e) { } } @@ -32418,7 +34512,7 @@ var WebCam = class { }); /** start method initializizes webcam stream and associates it with a dom video element */ __publicField(this, "start", async (webcamConfig) => { - var _a2, _b2; + var _a2, _b; if (webcamConfig == null ? void 0 : webcamConfig.debug) this.config.debug = webcamConfig == null ? void 0 : webcamConfig.debug; if (webcamConfig == null ? void 0 : webcamConfig.crop) @@ -32433,9 +34527,9 @@ var WebCam = class { this.config.id = webcamConfig == null ? void 0 : webcamConfig.id; if (webcamConfig == null ? void 0 : webcamConfig.element) { if (typeof webcamConfig.element === "string") { - const el2 = document.getElementById(webcamConfig.element); - if (el2 && el2 instanceof HTMLVideoElement) { - this.element = el2; + const el = document.getElementById(webcamConfig.element); + if (el && el instanceof HTMLVideoElement) { + this.element = el; } else { if (this.config.debug) log("webcam", "cannot get dom element", webcamConfig.element); @@ -32461,7 +34555,7 @@ var WebCam = class { }; if (((_a2 = this.config) == null ? void 0 : _a2.width) > 0) requestedConstraints.video.width = { ideal: this.config.width }; - if (((_b2 = this.config) == null ? void 0 : _b2.height) > 0) + if (((_b = this.config) == null ? void 0 : _b.height) > 0) requestedConstraints.video.height = { ideal: this.config.height }; if (this.config.id) requestedConstraints.video.deviceId = this.config.id; @@ -32795,7 +34889,7 @@ function setModelLoadOptions(config3) { options.modelBasePath = config3.modelBasePath; } async function loadModel(modelPath) { - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; let modelUrl = join(options.modelBasePath, modelPath || ""); if (!modelUrl.toLowerCase().endsWith(".json")) modelUrl += ".json"; @@ -32813,14 +34907,14 @@ async function loadModel(modelPath) { options.cacheSupported = typeof indexedDB !== "undefined"; let cachedModels = {}; try { - cachedModels = options.cacheSupported && options.cacheModels ? await La.listModels() : {}; + cachedModels = options.cacheSupported && options.cacheModels ? await pi.listModels() : {}; } catch (e) { options.cacheSupported = false; } modelStats[shortModelName].inCache = options.cacheSupported && options.cacheModels && Object.keys(cachedModels).includes(cachedModelName); modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl; const tfLoadOptions = typeof fetch === "undefined" ? {} : { fetchFunc: (url, init4) => httpHandler(url, init4) }; - let model23 = new fl(modelStats[shortModelName].url, tfLoadOptions); + let model23 = new Ol(modelStats[shortModelName].url, tfLoadOptions); let loaded = false; try { model23.findIOHandler(); @@ -32831,11 +34925,11 @@ async function loadModel(modelPath) { } try { const artifacts = await ((_a2 = model23.handler) == null ? void 0 : _a2.load()) || null; - modelStats[shortModelName].sizeFromManifest = ((_b2 = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b2.byteLength) || 0; + modelStats[shortModelName].sizeFromManifest = ((_b = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b.byteLength) || 0; if (artifacts) model23.loadSync(artifacts); else - model23 = await A6(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); + model23 = await W5(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); modelStats[shortModelName].sizeLoadedWeights = ((_d2 = (_c2 = model23.artifacts) == null ? void 0 : _c2.weightData) == null ? void 0 : _d2.byteLength) || 0; if (options.verbose) log("load:", { model: shortModelName, url: model23["modelUrl"], bytes: modelStats[shortModelName].sizeLoadedWeights }); @@ -32889,11 +34983,11 @@ function register(instance) { var _a2; if (instance.config.backend !== "humangl") return; - if (config2.name in sr().registry && !((_a2 = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a2.getParameter(config2.gl.VERSION))) { + if (config2.name in ur().registry && !((_a2 = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a2.getParameter(config2.gl.VERSION))) { log("humangl error: backend invalid context"); instance.models.reset(); } - if (!Fie(config2.name)) { + if (!kme(config2.name)) { try { config2.canvas = canvas(100, 100); } catch (err) { @@ -32931,37 +35025,37 @@ function register(instance) { return; } try { - US(2, config2.gl); + iI(2, config2.gl); } catch (err) { log("humangl error: cannot set webgl context:", err); return; } try { - const ctx = new Lu(config2.gl); - Ti(config2.name, () => new Vi(ctx), config2.priority); + const ctx = new xp(config2.gl); + eu(config2.name, () => new hu(ctx), config2.priority); } catch (err) { log("humangl error: cannot register webgl backend:", err); return; } try { - const kernels = Rm("webgl"); + const kernels = Km("webgl"); kernels.forEach((kernelConfig) => { const newKernelConfig = { ...kernelConfig, backendName: config2.name }; - ka(newKernelConfig); + Ya(newKernelConfig); }); } catch (err) { log("humangl error: cannot update webgl backend registration:", err); return; } try { - if (O().flagRegistry.WEBGL_VERSION) - O().set("WEBGL_VERSION", 2); + if (P().flagRegistry.WEBGL_VERSION) + P().set("WEBGL_VERSION", 2); } catch (err) { log("humangl error: cannot set WebGL backend flags:", err); return; } extensions(); - const backend = Pie(); + const backend = Tme(); const current = typeof backend["gpgpu"] !== "undefined" ? backend["getGPGPUContext"]().gl : null; if (current) { if (instance.config.debug) @@ -32982,12 +35076,12 @@ var constants = { rgb: [0.2989, 0.587, 0.114] }; function init() { - constants.tf255 = Ce(255, "float32"); - constants.tf1 = Ce(1, "float32"); - constants.tf2 = Ce(2, "float32"); - constants.tf05 = Ce(0.5, "float32"); - constants.tf127 = Ce(127.5, "float32"); - constants.rgb = dr([0.2989, 0.587, 0.114], "float32"); + constants.tf255 = ke(255, "float32"); + constants.tf1 = ke(1, "float32"); + constants.tf2 = ke(2, "float32"); + constants.tf05 = ke(0.5, "float32"); + constants.tf127 = ke(127.5, "float32"); + constants.rgb = xr([0.2989, 0.587, 0.114], "float32"); } // src/tfjs/backend.ts @@ -33009,36 +35103,36 @@ function registerCustomOps(config3) { if (!env.kernels.includes("mod")) { const kernelMod = { kernelName: "Mod", - backendName: Rie(), - kernelFunc: (op) => Ee(() => ke(op.inputs.a, ne(He(op.inputs.a, op.inputs.b), op.inputs.b))) + backendName: Ime(), + kernelFunc: (op2) => De(() => Te(op2.inputs.a, se(Ke(op2.inputs.a, op2.inputs.b), op2.inputs.b))) }; - ka(kernelMod); + Ya(kernelMod); env.kernels.push("mod"); newKernels.push("mod"); } if (!env.kernels.includes("floormod")) { const kernelFloorMod = { kernelName: "FloorMod", - backendName: Rie(), - kernelFunc: (op) => Ee(() => be(ne(Km(op.inputs.a, op.inputs.b), op.inputs.b), Jv(op.inputs.a, op.inputs.b))) + backendName: Ime(), + kernelFunc: (op2) => De(() => be(se(pd(op2.inputs.a, op2.inputs.b), op2.inputs.b), x2(op2.inputs.a, op2.inputs.b))) }; - ka(kernelFloorMod); + Ya(kernelFloorMod); env.kernels.push("floormod"); newKernels.push("floormod"); } if (!env.kernels.includes("rotatewithoffset") && config3.softwareKernels) { const kernelRotateWithOffset = { kernelName: "RotateWithOffset", - backendName: Rie(), - kernelFunc: (op) => Ee(() => { - const backend = Rie(); - Eie("cpu"); - const t10 = eK.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center); - Eie(backend); + backendName: Ime(), + kernelFunc: (op2) => De(() => { + const backend = Ime(); + wme("cpu"); + const t10 = uj.rotateWithOffset(op2.inputs.image, op2.attrs.radians, op2.attrs.fillValue, op2.attrs.center); + wme(backend); return t10; }) }; - ka(kernelRotateWithOffset); + Ya(kernelRotateWithOffset); env.kernels.push("rotatewithoffset"); newKernels.push("rotatewithoffset"); } @@ -33047,25 +35141,25 @@ function registerCustomOps(config3) { } var defaultFlags = {}; async function check(instance, force = false) { - var _a2, _b2; + var _a2, _b; instance.state = "backend"; if (((_a2 = instance.config.backend) == null ? void 0 : _a2.length) === 0) instance.config.backend = await getBestBackend(); - if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && Rie() !== instance.config.backend) { + if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && Ime() !== instance.config.backend) { const timeStamp = now(); if (instance.config.backend && instance.config.backend.length > 0) { if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) { if (instance.config.debug) log("running inside web worker"); } - if (typeof navigator !== "undefined" && ((_b2 = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b2.toLowerCase().includes("electron"))) { + if (typeof navigator !== "undefined" && ((_b = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b.toLowerCase().includes("electron"))) { if (instance.config.debug) log("running inside electron"); } - let available = Object.keys(sr().registryFactory); + let available = Object.keys(ur().registryFactory); if (instance.config.backend === "humangl" && !available.includes("humangl")) { register(instance); - available = Object.keys(sr().registryFactory); + available = Object.keys(ur().registryFactory); } if (instance.config.debug) log("available backends:", available); @@ -33105,21 +35199,21 @@ async function check(instance, force = false) { if (instance.config.debug) log("setting backend:", [instance.config.backend]); if (instance.config.backend === "wasm") { - if (O().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) - O().set("CANVAS2D_WILL_READ_FREQUENTLY", true); + if (P().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) + P().set("CANVAS2D_WILL_READ_FREQUENTLY", true); if (instance.config.debug) log("wasm path:", instance.config.wasmPath); - if (typeof Gee !== "undefined") - Gee(instance.config.wasmPath, instance.config.wasmPlatformFetch); + if (typeof Zne !== "undefined") + Zne(instance.config.wasmPath, instance.config.wasmPlatformFetch); else throw new Error("backend error: attempting to use wasm backend but wasm path is not set"); - let mt2 = false; + let mt = false; let simd = false; try { - mt2 = await O().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); - simd = await O().getAsync("WASM_HAS_SIMD_SUPPORT"); + mt = await P().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + simd = await P().getAsync("WASM_HAS_SIMD_SUPPORT"); if (instance.config.debug) - log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt2 ? "multithreaded" : "singlethreaded"}`); + log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`); if (instance.config.debug && !simd) log("warning: wasm simd support is not enabled"); } catch (e) { @@ -33127,29 +35221,29 @@ async function check(instance, force = false) { } } try { - await Eie(instance.config.backend); - await Aie(); + await wme(instance.config.backend); + await Sme(); } catch (err) { log("error: cannot set backend:", instance.config.backend, err); return false; } if (instance.config.debug) - defaultFlags = JSON.parse(JSON.stringify(O().flags)); + defaultFlags = JSON.parse(JSON.stringify(P().flags)); } - if (Rie() === "humangl" || Rie() === "webgl") { - if (O().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) - O().set("WEBGL_USE_SHAPES_UNIFORMS", true); - if (O().flagRegistry.WEBGL_EXP_CONV) - O().set("WEBGL_EXP_CONV", true); + if (Ime() === "humangl" || Ime() === "webgl") { + if (P().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + P().set("WEBGL_USE_SHAPES_UNIFORMS", true); + if (P().flagRegistry.WEBGL_EXP_CONV) + P().set("WEBGL_EXP_CONV", true); if (instance.config.debug && typeof instance.config.deallocate !== "undefined" && instance.config.deallocate) { log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true); - O().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); + P().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); } } - if (Rie() === "webgpu") { + if (Ime() === "webgpu") { } if (instance.config.debug) { - const newFlags = O().flags; + const newFlags = P().flags; const updatedFlags = {}; for (const key of Object.keys(newFlags)) { if (defaultFlags[key] === newFlags[key]) @@ -33157,19 +35251,19 @@ async function check(instance, force = false) { updatedFlags[key] = newFlags[key]; } if (instance.config.debug && Object.keys(updatedFlags).length > 0) - log("backend:", Rie(), "flags:", updatedFlags); + log("backend:", Ime(), "flags:", updatedFlags); } if (instance.config.flags && Object.keys(instance.config.flags).length > 0) { if (instance.config.debug) log("flags:", instance.config["flags"]); for (const [key, val] of Object.entries(instance.config.flags)) { - O().set(key, val); + P().set(key, val); } } - Iie(); + fme(); init(); instance.performance.initBackend = Math.trunc(now() - timeStamp); - instance.config.backend = Rie(); + instance.config.backend = Ime(); await env.updateBackend(); registerCustomOps(instance.config); } @@ -33189,9 +35283,9 @@ function fakeOps(kernelNames, config3) { // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, }; - ka(kernelConfig); + Ya(kernelConfig); } - env.kernels = Rm(Rie()).map((kernel) => kernel.kernelName.toLowerCase()); + env.kernels = Km(Ime()).map((kernel) => kernel.kernelName.toLowerCase()); } // src/draw/draw.ts @@ -33236,38 +35330,38 @@ function labels(ctx, str, startX, startY, localOptions2) { const line = str.replace(/\[.*\]/g, "").split("\n").map((l) => l.trim()); const x = Math.max(0, startX); for (let i = line.length - 1; i >= 0; i--) { - const y6 = i * localOptions2.lineHeight + startY; + const y5 = i * localOptions2.lineHeight + startY; if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { ctx.fillStyle = localOptions2.shadowColor; - ctx.fillText(line[i], x + 5, y6 + 16); + ctx.fillText(line[i], x + 5, y5 + 16); } ctx.fillStyle = localOptions2.labelColor; - ctx.fillText(line[i], x + 4, y6 + 15); + ctx.fillText(line[i], x + 4, y5 + 15); } } -function point(ctx, x, y6, z, localOptions2) { +function point(ctx, x, y5, z, localOptions2) { ctx.fillStyle = colorDepth(z, localOptions2); ctx.beginPath(); - ctx.arc(x, y6, localOptions2.pointSize, 0, 2 * Math.PI); + ctx.arc(x, y5, localOptions2.pointSize, 0, 2 * Math.PI); ctx.fill(); } -function rect(ctx, x, y6, width, height, localOptions2) { +function rect(ctx, x, y5, width, height, localOptions2) { ctx.beginPath(); ctx.lineWidth = localOptions2.lineWidth; if (localOptions2.useCurves) { const cx2 = (x + x + width) / 2; - const cy = (y6 + y6 + height) / 2; - ctx.ellipse(cx2, cy, width / 2, height / 2, 0, 0, 2 * Math.PI); + const cy2 = (y5 + y5 + height) / 2; + ctx.ellipse(cx2, cy2, width / 2, height / 2, 0, 0, 2 * Math.PI); } else { - ctx.moveTo(x + localOptions2.roundRect, y6); - ctx.lineTo(x + width - localOptions2.roundRect, y6); - ctx.quadraticCurveTo(x + width, y6, x + width, y6 + localOptions2.roundRect); - ctx.lineTo(x + width, y6 + height - localOptions2.roundRect); - ctx.quadraticCurveTo(x + width, y6 + height, x + width - localOptions2.roundRect, y6 + height); - ctx.lineTo(x + localOptions2.roundRect, y6 + height); - ctx.quadraticCurveTo(x, y6 + height, x, y6 + height - localOptions2.roundRect); - ctx.lineTo(x, y6 + localOptions2.roundRect); - ctx.quadraticCurveTo(x, y6, x + localOptions2.roundRect, y6); + ctx.moveTo(x + localOptions2.roundRect, y5); + ctx.lineTo(x + width - localOptions2.roundRect, y5); + ctx.quadraticCurveTo(x + width, y5, x + width, y5 + localOptions2.roundRect); + ctx.lineTo(x + width, y5 + height - localOptions2.roundRect); + ctx.quadraticCurveTo(x + width, y5 + height, x + width - localOptions2.roundRect, y5 + height); + ctx.lineTo(x + localOptions2.roundRect, y5 + height); + ctx.quadraticCurveTo(x, y5 + height, x, y5 + height - localOptions2.roundRect); + ctx.lineTo(x, y5 + localOptions2.roundRect); + ctx.quadraticCurveTo(x, y5, x + localOptions2.roundRect, y5); ctx.closePath(); } ctx.stroke(); @@ -33277,9 +35371,9 @@ function lines(ctx, points, localOptions2) { return; ctx.beginPath(); ctx.moveTo(points[0][0], points[0][1]); - for (const pt of points) { - ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions2); - ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1])); + for (const pt2 of points) { + ctx.strokeStyle = colorDepth(pt2[2] || 0, localOptions2); + ctx.lineTo(Math.trunc(pt2[0]), Math.trunc(pt2[1])); } ctx.stroke(); if (localOptions2.fillPolygons) { @@ -33308,25 +35402,25 @@ function curves(ctx, points, localOptions2) { ctx.fill(); } } -function arrow(ctx, from, to2, radius = 5) { +function arrow(ctx, from, to, radius = 5) { let angle; let x; - let y6; + let y5; ctx.beginPath(); ctx.moveTo(from[0], from[1]); - ctx.lineTo(to2[0], to2[1]); - angle = Math.atan2(to2[1] - from[1], to2[0] - from[0]); - x = radius * Math.cos(angle) + to2[0]; - y6 = radius * Math.sin(angle) + to2[1]; - ctx.moveTo(x, y6); + ctx.lineTo(to[0], to[1]); + angle = Math.atan2(to[1] - from[1], to[0] - from[0]); + x = radius * Math.cos(angle) + to[0]; + y5 = radius * Math.sin(angle) + to[1]; + ctx.moveTo(x, y5); angle += 1 / 3 * (2 * Math.PI); - x = radius * Math.cos(angle) + to2[0]; - y6 = radius * Math.sin(angle) + to2[1]; - ctx.lineTo(x, y6); + x = radius * Math.cos(angle) + to[0]; + y5 = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y5); angle += 1 / 3 * (2 * Math.PI); - x = radius * Math.cos(angle) + to2[0]; - y6 = radius * Math.sin(angle) + to2[1]; - ctx.lineTo(x, y6); + x = radius * Math.cos(angle) + to[0]; + y5 = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y5); ctx.closePath(); ctx.stroke(); ctx.fill(); @@ -37146,7 +39240,7 @@ var LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [ // src/draw/face.ts var localOptions; function drawLabels(f, ctx) { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2; if (!localOptions.drawLabels || ((_a2 = localOptions.faceLabels) == null ? void 0 : _a2.length) === 0) return; let l = localOptions.faceLabels.slice(); @@ -37171,7 +39265,7 @@ function drawLabels(f, ctx) { emotion2.length = 3; l = replace(l, "[emotions]", emotion2.join(" ")); } - if ((_c2 = (_b2 = f.rotation) == null ? void 0 : _b2.angle) == null ? void 0 : _c2.roll) + if ((_c2 = (_b = f.rotation) == null ? void 0 : _b.angle) == null ? void 0 : _c2.roll) l = replace(l, "[roll]", rad2deg(f.rotation.angle.roll)); if ((_e = (_d2 = f.rotation) == null ? void 0 : _d2.angle) == null ? void 0 : _e.yaw) l = replace(l, "[yaw]", rad2deg(f.rotation.angle.yaw)); @@ -37182,8 +39276,8 @@ function drawLabels(f, ctx) { labels(ctx, l, f.box[0], f.box[1], localOptions); } function drawIrisElipse(f, ctx) { - var _a2, _b2, _c2, _d2; - if (((_a2 = f.annotations) == null ? void 0 : _a2.leftEyeIris) && ((_b2 = f.annotations) == null ? void 0 : _b2.leftEyeIris[0])) { + var _a2, _b, _c2, _d2; + if (((_a2 = f.annotations) == null ? void 0 : _a2.leftEyeIris) && ((_b = f.annotations) == null ? void 0 : _b.leftEyeIris[0])) { ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; ctx.beginPath(); const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2; @@ -37274,13 +39368,13 @@ function drawFacePoints(f, ctx) { } } } else { - for (const [k, v10] of Object.entries((f == null ? void 0 : f.annotations) || {})) { - if (!(v10 == null ? void 0 : v10[0])) + for (const [k, v5] of Object.entries((f == null ? void 0 : f.annotations) || {})) { + if (!(v5 == null ? void 0 : v5[0])) continue; - const pt = v10[0]; - point(ctx, pt[0], pt[1], 0, localOptions); + const pt2 = v5[0]; + point(ctx, pt2[0], pt2[1], 0, localOptions); if (localOptions.drawLabels) - labels(ctx, k, pt[0], pt[1], localOptions); + labels(ctx, k, pt2[0], pt2[1], localOptions); } } } @@ -37314,7 +39408,7 @@ function face(inCanvas2, result, drawOptions) { // src/draw/body.ts function body(inCanvas2, result, drawOptions) { - var _a2, _b2; + var _a2, _b; const localOptions2 = mergeDeep(options2, drawOptions); if (!result || !inCanvas2) return; @@ -37337,22 +39431,22 @@ function body(inCanvas2, result, drawOptions) { } } if (localOptions2.drawPoints && result[i].keypoints) { - for (let pt = 0; pt < result[i].keypoints.length; pt++) { - if (!result[i].keypoints[pt].score || result[i].keypoints[pt].score === 0) + for (let pt2 = 0; pt2 < result[i].keypoints.length; pt2++) { + if (!result[i].keypoints[pt2].score || result[i].keypoints[pt2].score === 0) continue; - ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions2); - point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions2); + ctx.fillStyle = colorDepth(result[i].keypoints[pt2].position[2], localOptions2); + point(ctx, result[i].keypoints[pt2].position[0], result[i].keypoints[pt2].position[1], 0, localOptions2); } } - if (localOptions2.drawLabels && ((_b2 = localOptions2.bodyPartLabels) == null ? void 0 : _b2.length) > 0 && result[i].keypoints) { + if (localOptions2.drawLabels && ((_b = localOptions2.bodyPartLabels) == null ? void 0 : _b.length) > 0 && result[i].keypoints) { ctx.font = localOptions2.font; - for (const pt of result[i].keypoints) { - if (!pt.score || pt.score === 0) + for (const pt2 of result[i].keypoints) { + if (!pt2.score || pt2.score === 0) continue; let l = localOptions2.bodyPartLabels.slice(); - l = replace(l, "[label]", pt.part); - l = replace(l, "[score]", 100 * pt.score); - labels(ctx, l, pt.position[0], pt.position[1], localOptions2); + l = replace(l, "[label]", pt2.part); + l = replace(l, "[score]", 100 * pt2.score); + labels(ctx, l, pt2.position[0], pt2.position[1], localOptions2); } } if (localOptions2.drawPolygons && result[i].keypoints && result[i].annotations) { @@ -37366,7 +39460,7 @@ function body(inCanvas2, result, drawOptions) { // src/draw/hand.ts function hand(inCanvas2, result, drawOptions) { - var _a2, _b2; + var _a2, _b; const localOptions2 = mergeDeep(options2, drawOptions); if (!result || !inCanvas2) return; @@ -37391,17 +39485,17 @@ function hand(inCanvas2, result, drawOptions) { } if (localOptions2.drawPoints) { if (h.keypoints && h.keypoints.length > 0) { - for (const pt of h.keypoints) { - ctx.fillStyle = colorDepth(pt[2], localOptions2); - point(ctx, pt[0], pt[1], 0, localOptions2); + for (const pt2 of h.keypoints) { + ctx.fillStyle = colorDepth(pt2[2], localOptions2); + point(ctx, pt2[0], pt2[1], 0, localOptions2); } } } - if (localOptions2.drawLabels && h.annotations && ((_b2 = localOptions2.fingerLabels) == null ? void 0 : _b2.length) > 0) { - for (const [part, pt] of Object.entries(h.annotations)) { + if (localOptions2.drawLabels && h.annotations && ((_b = localOptions2.fingerLabels) == null ? void 0 : _b.length) > 0) { + for (const [part, pt2] of Object.entries(h.annotations)) { let l = localOptions2.fingerLabels.slice(); l = replace(l, "[label]", part); - labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions2); + labels(ctx, l, pt2[pt2.length - 1][0], pt2[pt2.length - 1][1], localOptions2); } } if (localOptions2.drawPolygons && h.annotations) { @@ -37468,8 +39562,8 @@ function gesture(inCanvas2, result, drawOptions) { ctx.font = localOptions2.font; ctx.fillStyle = localOptions2.color; let i = 1; - for (let j10 = 0; j10 < result.length; j10++) { - const [where, what] = Object.entries(result[j10]); + for (let j = 0; j < result.length; j++) { + const [where, what] = Object.entries(result[j]); if (what.length > 1 && what[1].length > 0) { const who = where[1] > 0 ? `#${where[1]}` : ""; let l = localOptions2.gestureLabels.slice(); @@ -37701,16 +39795,16 @@ function createAnchors() { const stride = strides[layerId]; const featureMapHeight = Math.ceil(inputSize / stride); const featureMapWidth = Math.ceil(inputSize / stride); - for (let y6 = 0; y6 < featureMapHeight; ++y6) { + for (let y5 = 0; y5 < featureMapHeight; ++y5) { for (let x = 0; x < featureMapWidth; ++x) { for (let anchorId = 0; anchorId < anchorCount; ++anchorId) { - anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y6 + 0.5) / featureMapHeight }); + anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y5 + 0.5) / featureMapHeight }); } } } layerId = lastSameStrideLayer; } - anchorTensor = { x: dr(anchors3.map((a) => a.x)), y: dr(anchors3.map((a) => a.y)) }; + anchorTensor = { x: xr(anchors3.map((a) => a.x)), y: xr(anchors3.map((a) => a.y)) }; } async function loadDetector(config3) { if (env.initial) @@ -37726,31 +39820,31 @@ async function loadDetector(config3) { } var cropFactor = [5, 5]; function decodeBoxes(boxesTensor, anchor) { - return Ee(() => { - const split = Oa(boxesTensor, 12, 1); - let xCenter = Up(split[0]); - let yCenter = Up(split[1]); - let width = Up(split[2]); - let height = Up(split[3]); - xCenter = be(He(xCenter, inputSize), anchor.x); - yCenter = be(He(yCenter, inputSize), anchor.y); - width = ne(He(width, inputSize), cropFactor[0]); - height = ne(He(height, inputSize), cropFactor[1]); - const xMin = ke(xCenter, He(width, 2)); - const yMin = ke(yCenter, He(height, 2)); + return De(() => { + const split = ai(boxesTensor, 12, 1); + let xCenter = lc(split[0]); + let yCenter = lc(split[1]); + let width = lc(split[2]); + let height = lc(split[3]); + xCenter = be(Ke(xCenter, inputSize), anchor.x); + yCenter = be(Ke(yCenter, inputSize), anchor.y); + width = se(Ke(width, inputSize), cropFactor[0]); + height = se(Ke(height, inputSize), cropFactor[1]); + const xMin = Te(xCenter, Ke(width, 2)); + const yMin = Te(yCenter, Ke(height, 2)); const xMax = be(xMin, width); const yMax = be(yMin, height); - const boxes = Sr([xMin, yMin, xMax, yMax], 1); + const boxes = vr([xMin, yMin, xMax, yMax], 1); return boxes; }); } async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { - var _a2, _b2; + var _a2, _b; const detectedBoxes = []; const t10 = {}; t10.boxes = decodeBoxes(boxesTensor, anchorTensor); - t10.scores = Ws(logitsTensor); - t10.nms = await eK.nonMaxSuppressionAsync(t10.boxes, t10.scores, 1, ((_a2 = config3.body["detector"]) == null ? void 0 : _a2.minConfidence) || 0.1, ((_b2 = config3.body["detector"]) == null ? void 0 : _b2.iouThreshold) || 0.1); + t10.scores = wa(logitsTensor); + t10.nms = await uj.nonMaxSuppressionAsync(t10.boxes, t10.scores, 1, ((_a2 = config3.body["detector"]) == null ? void 0 : _a2.minConfidence) || 0.1, ((_b = config3.body["detector"]) == null ? void 0 : _b.iouThreshold) || 0.1); const nms = await t10.nms.data(); const scores = await t10.scores.data(); const boxes = await t10.boxes.array(); @@ -37767,10 +39861,10 @@ async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { async function detectBoxes(input, config3, outputSize2) { const t10 = {}; t10.res = model == null ? void 0 : model.execute(input, ["Identity"]); - t10.logitsRaw = Ke(t10.res, [0, 0, 0], [1, -1, 1]); - t10.boxesRaw = Ke(t10.res, [0, 0, 1], [1, -1, -1]); - t10.logits = Up(t10.logitsRaw); - t10.boxes = Up(t10.boxesRaw); + t10.logitsRaw = qe(t10.res, [0, 0, 0], [1, -1, 1]); + t10.boxesRaw = qe(t10.res, [0, 0, 1], [1, -1, -1]); + t10.logits = lc(t10.logitsRaw); + t10.boxes = lc(t10.boxesRaw); const boxes = await decodeResults(t10.boxes, t10.logits, config3, outputSize2); Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return boxes; @@ -37778,7 +39872,7 @@ async function detectBoxes(input, config3, outputSize2) { // src/util/box.ts function calc(keypoints, outputSize2 = [1, 1]) { - const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const coords = [keypoints.map((pt2) => pt2[0]), keypoints.map((pt2) => pt2[1])]; const min = [Math.min(...coords[0]), Math.min(...coords[1])]; const max = [Math.max(...coords[0]), Math.max(...coords[1])]; const box = [min[0], min[1], max[0] - min[0], max[1] - min[1]]; @@ -37786,7 +39880,7 @@ function calc(keypoints, outputSize2 = [1, 1]) { return { box, boxRaw }; } function square(keypoints, outputSize2 = [1, 1]) { - const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const coords = [keypoints.map((pt2) => pt2[0]), keypoints.map((pt2) => pt2[1])]; const min = [Math.min(...coords[0]), Math.min(...coords[1])]; const max = [Math.max(...coords[0]), Math.max(...coords[1])]; const center = [(min[0] + max[0]) / 2, (min[1] + max[1]) / 2]; @@ -37831,13 +39925,13 @@ async function loadPose(config3) { return model2; } function prepareImage(input, size2, cropBox) { - var _a2, _b2; + var _a2, _b; const t10 = {}; - if (!((_a2 = input == null ? void 0 : input.shape) == null ? void 0 : _a2[1]) || !((_b2 = input == null ? void 0 : input.shape) == null ? void 0 : _b2[2])) + if (!((_a2 = input == null ? void 0 : input.shape) == null ? void 0 : _a2[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) return input; let final; if (cropBox) { - t10.cropped = eK.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); + t10.cropped = uj.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); } if (input.shape[1] !== input.shape[2]) { const height = [ @@ -37858,14 +39952,14 @@ function prepareImage(input, size2, cropBox) { [0, 0] // dont touch rbg ]; - t10.pad = Ks(t10.cropped || input, padding); - t10.resize = eK.resizeBilinear(t10.pad, [size2, size2]); - final = He(t10.resize, constants.tf255); + t10.pad = ka(t10.cropped || input, padding); + t10.resize = uj.resizeBilinear(t10.pad, [size2, size2]); + final = Ke(t10.resize, constants.tf255); } else if (input.shape[1] !== size2) { - t10.resize = eK.resizeBilinear(t10.cropped || input, [size2, size2]); - final = He(t10.resize, constants.tf255); + t10.resize = uj.resizeBilinear(t10.cropped || input, [size2, size2]); + final = Ke(t10.resize, constants.tf255); } else { - final = He(t10.cropped || input, constants.tf255); + final = Ke(t10.cropped || input, constants.tf255); } Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return final; @@ -37944,20 +40038,20 @@ async function detectLandmarks(input, config3, outputSize2) { const boxes = calc(kpts, [outputSize2[0], outputSize2[1]]); const annotations2 = {}; for (const [name, indexes] of Object.entries(connected)) { - const pt = []; + const pt2 = []; for (let i = 0; i < indexes.length - 1; i++) { const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]); const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); if (pt0 && pt1) - pt.push([pt0.position, pt1.position]); + pt2.push([pt0.position, pt1.position]); } - annotations2[name] = pt; + annotations2[name] = pt2; } const body4 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations: annotations2 }; return body4; } async function predict(input, config3) { - var _a2, _b2, _c2; + var _a2, _b, _c2; const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; const skipTime = (config3.body.skipTime || 0) > now() - lastTime; const skipFrame = skipped < (config3.body.skipFrames || 0); @@ -37965,7 +40059,7 @@ async function predict(input, config3) { skipped++; } else { let boxes = []; - if ((_b2 = (_a2 = config3.body) == null ? void 0 : _a2["detector"]) == null ? void 0 : _b2["enabled"]) { + if ((_b = (_a2 = config3.body) == null ? void 0 : _a2["detector"]) == null ? void 0 : _b["enabled"]) { const preparedImage = prepareImage(input, 224); boxes = await detectBoxes(preparedImage, config3, outputSize2); Ot(preparedImage); @@ -38095,14 +40189,14 @@ async function process3(res, outputShape, config3) { const t10 = {}; const results = []; const detections = await res.array(); - t10.squeeze = Up(res); - const arr = Oa(t10.squeeze, 6, 1); - t10.stack = Sr([arr[1], arr[0], arr[3], arr[2]], 1); - t10.boxes = Up(t10.stack); - t10.scores = Up(arr[4]); - t10.classes = Up(arr[5]); + t10.squeeze = lc(res); + const arr = ai(t10.squeeze, 6, 1); + t10.stack = vr([arr[1], arr[0], arr[3], arr[2]], 1); + t10.boxes = lc(t10.stack); + t10.scores = lc(arr[4]); + t10.classes = lc(arr[5]); Ot([res, ...arr]); - t10.nms = await eK.nonMaxSuppressionAsync(t10.boxes, t10.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); + t10.nms = await uj.nonMaxSuppressionAsync(t10.boxes, t10.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); const nms = await t10.nms.data(); let i = 0; for (const id2 of Array.from(nms)) { @@ -38111,15 +40205,15 @@ async function process3(res, outputShape, config3) { if (Number.isNaN(classVal)) continue; const label = labels2[classVal].label; - const [x, y6] = [ + const [x, y5] = [ detections[0][id2][0] / inputSize3, detections[0][id2][1] / inputSize3 ]; const boxRaw = [ x, - y6, + y5, detections[0][id2][2] / inputSize3 - x, - detections[0][id2][3] / inputSize3 - y6 + detections[0][id2][3] / inputSize3 - y5 ]; const box = [ Math.trunc(boxRaw[0] * outputShape[0]), @@ -38144,7 +40238,7 @@ async function predict2(input, config3) { skipped2 = 0; return new Promise(async (resolve) => { const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; - const resize = eK.resizeBilinear(input, [inputSize3, inputSize3]); + const resize = uj.resizeBilinear(input, [inputSize3, inputSize3]); const objectT = config3.object.enabled ? model3 == null ? void 0 : model3.execute(resize, ["tower_0/detections"]) : null; lastTime2 = now(); Ot(resize); @@ -38204,16 +40298,16 @@ async function load2(config3) { async function max2d(inputs, minScore) { const [width, height] = inputs.shape; const reshaped = W(inputs, [height * width]); - const max = Gs(reshaped, 0); + const max = Ia(reshaped, 0); const newScore = (await max.data())[0]; if (newScore > minScore) { - const coordinates = X0(reshaped, 0); - const mod = Jv(coordinates, width); + const coordinates = mk(reshaped, 0); + const mod = x2(coordinates, width); const x = (await mod.data())[0]; - const div = He(coordinates, width); - const y6 = (await div.data())[0]; + const div = Ke(coordinates, width); + const y5 = (await div.data())[0]; Ot([reshaped, max, coordinates, mod, div]); - return [x, y6, newScore]; + return [x, y5, newScore]; } Ot([reshaped, max]); return [0, 0, newScore]; @@ -38229,11 +40323,11 @@ async function predict3(image, config3) { } skipped3 = 0; return new Promise(async (resolve) => { - const tensor = Ee(() => { - var _a2, _b2; - const resize = eK.resizeBilinear(image, [((_a2 = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a2[2]) || 0, ((_b2 = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b2[1]) || 0], false); - const enhance2 = ne(resize, constants.tf2); - const norm = ke(enhance2, constants.tf1); + const tensor = De(() => { + var _a2, _b; + const resize = uj.resizeBilinear(image, [((_a2 = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a2[2]) || 0, ((_b = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b[1]) || 0], false); + const enhance2 = se(resize, constants.tf2); + const norm = Te(enhance2, constants.tf1); return norm; }); let resT; @@ -38243,12 +40337,12 @@ async function predict3(image, config3) { Ot(tensor); if (resT) { cache2.keypoints.length = 0; - const squeeze = Up(resT); + const squeeze = lc(resT); Ot(resT); - const stack = so(squeeze, 2); + const stack = po(squeeze, 2); Ot(squeeze); for (let id2 = 0; id2 < stack.length; id2++) { - const [x6, y10, partScore] = await max2d(stack[id2], config3.body.minConfidence); + const [x5, y10, partScore] = await max2d(stack[id2], config3.body.minConfidence); if (partScore > (config3.body.minConfidence || 0)) { cache2.keypoints.push({ score: Math.round(100 * partScore) / 100, @@ -38256,13 +40350,13 @@ async function predict3(image, config3) { positionRaw: [ // normalized to 0..1 // @ts-ignore model is not undefined here - x6 / model4.inputs[0].shape[2], + x5 / model4.inputs[0].shape[2], y10 / model4.inputs[0].shape[1] ], position: [ // normalized to input image size // @ts-ignore model is not undefined here - Math.round(image.shape[2] * x6 / model4.inputs[0].shape[2]), + Math.round(image.shape[2] * x5 / model4.inputs[0].shape[2]), Math.round(image.shape[1] * y10 / model4.inputs[0].shape[1]) ] }); @@ -38272,12 +40366,12 @@ async function predict3(image, config3) { } cache2.score = cache2.keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); const x = cache2.keypoints.map((a) => a.position[0]); - const y6 = cache2.keypoints.map((a) => a.position[1]); + const y5 = cache2.keypoints.map((a) => a.position[1]); cache2.box = [ Math.min(...x), - Math.min(...y6), + Math.min(...y5), Math.max(...x) - Math.min(...x), - Math.max(...y6) - Math.min(...y6) + Math.max(...y5) - Math.min(...y5) ]; const xRaw = cache2.keypoints.map((a) => a.positionRaw[0]); const yRaw = cache2.keypoints.map((a) => a.positionRaw[1]); @@ -38288,14 +40382,14 @@ async function predict3(image, config3) { Math.max(...yRaw) - Math.min(...yRaw) ]; for (const [name, indexes] of Object.entries(connected2)) { - const pt = []; + const pt2 = []; for (let i = 0; i < indexes.length - 1; i++) { const pt0 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i]); const pt1 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) - pt.push([pt0.position, pt1.position]); + pt2.push([pt0.position, pt1.position]); } - cache2.annotations[name] = pt; + cache2.annotations[name] = pt2; } resolve([cache2]); }); @@ -38319,15 +40413,15 @@ var getRawBox = (box, input) => box ? [ var scaleBoxCoordinates = (box, factor, anchor) => { const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; - const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]); + const landmarks = box.landmarks.map((pt2) => [(pt2[0] + anchor[0]) * factor[0], (pt2[1] + anchor[1]) * factor[1]]); return { startPoint, endPoint, landmarks, confidence: box.confidence }; }; var cutAndResize = (box, image, cropSize) => { const h = image.shape[1]; const w = image.shape[2]; const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]; - const crop = eK.cropAndResize(image, [cutBox], [0], cropSize); - const norm = He(crop, constants.tf255); + const crop = uj.cropAndResize(image, [cutBox], [0], cropSize); + const norm = Ke(crop, constants.tf255); Ot(crop); return norm; }; @@ -38357,17 +40451,17 @@ var squarifyBox = (box) => { }; var calculateLandmarksBoundingBox = (landmarks) => { const x = landmarks.map((d) => d[0]); - const y6 = landmarks.map((d) => d[1]); + const y5 = landmarks.map((d) => d[1]); return { - startPoint: [Math.min(...x), Math.min(...y6)], - endPoint: [Math.max(...x), Math.max(...y6)], + startPoint: [Math.min(...x), Math.min(...y5)], + endPoint: [Math.max(...x), Math.max(...y5)], landmarks }; }; var fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]; var normalizeRadians = (angle) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); var computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0])); -var buildTranslationMatrix = (x, y6) => [[1, 0, x], [0, 1, y6], [0, 0, 1]]; +var buildTranslationMatrix = (x, y5) => [[1, 0, x], [0, 1, y5], [0, 0, 1]]; var dot = (v12, v22) => { let product = 0; for (let i = 0; i < v12.length; i++) @@ -38456,7 +40550,7 @@ function correctFaceRotation(rotate, box, input, inputSize10) { if (largeAngle) { const center = getBoxCenter(box); const centerRaw = [center[0] / input.shape[2], center[1] / input.shape[1]]; - const rotated = eK.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); + const rotated = uj.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); rotationMatrix = buildRotationMatrix(-angle, center); face4 = cutAndResize(box, rotated, [inputSize10, inputSize10]); Ot(rotated); @@ -38470,8 +40564,8 @@ function correctFaceRotation(rotate, box, input, inputSize10) { } var findFaceCenter = (mesh) => { const x = mesh.map((m) => m[0]); - const y6 = mesh.map((m) => m[1]); - return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y6) + (Math.max(...y6) - Math.min(...y6)) / 2]; + const y5 = mesh.map((m) => m[1]); + return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y5) + (Math.max(...y5) - Math.min(...y5)) / 2]; }; var calculateFaceBox = (mesh, previousBox) => { const center = findFaceCenter(mesh); @@ -38500,54 +40594,54 @@ async function load3(config3) { else if (config3.debug) log("cached model:", model5["modelUrl"]); inputSize4 = model5["executor"] && model5.inputs[0].shape ? model5.inputs[0].shape[2] : 256; - inputSizeT = Ce(inputSize4, "int32"); - anchors = Oi(generateAnchors(inputSize4)); + inputSizeT = ke(inputSize4, "int32"); + anchors = uu(generateAnchors(inputSize4)); return model5; } function decodeBoxes2(boxOutputs) { if (!anchors || !inputSizeT) - return Br([0, 0]); + return Wr([0, 0]); const t10 = {}; - t10.boxStarts = Ke(boxOutputs, [0, 1], [-1, 2]); + t10.boxStarts = qe(boxOutputs, [0, 1], [-1, 2]); t10.centers = be(t10.boxStarts, anchors); - t10.boxSizes = Ke(boxOutputs, [0, 3], [-1, 2]); - t10.boxSizesNormalized = He(t10.boxSizes, inputSizeT); - t10.centersNormalized = He(t10.centers, inputSizeT); - t10.halfBoxSize = He(t10.boxSizesNormalized, constants.tf2); - t10.starts = ke(t10.centersNormalized, t10.halfBoxSize); + t10.boxSizes = qe(boxOutputs, [0, 3], [-1, 2]); + t10.boxSizesNormalized = Ke(t10.boxSizes, inputSizeT); + t10.centersNormalized = Ke(t10.centers, inputSizeT); + t10.halfBoxSize = Ke(t10.boxSizesNormalized, constants.tf2); + t10.starts = Te(t10.centersNormalized, t10.halfBoxSize); t10.ends = be(t10.centersNormalized, t10.halfBoxSize); - t10.startNormalized = ne(t10.starts, inputSizeT); - t10.endNormalized = ne(t10.ends, inputSizeT); - const boxes = fv([t10.startNormalized, t10.endNormalized], 1); + t10.startNormalized = se(t10.starts, inputSizeT); + t10.endNormalized = se(t10.ends, inputSizeT); + const boxes = Dk([t10.startNormalized, t10.endNormalized], 1); Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return boxes; } async function getBoxes(inputImage, config3) { - var _a2, _b2, _c2, _d2, _e, _f2; + var _a2, _b, _c2, _d2, _e, _f2; if (!inputImage || inputImage["isDisposedInternal"] || inputImage.shape.length !== 4 || inputImage.shape[1] < 1 || inputImage.shape[2] < 1) return []; const t10 = {}; - t10.resized = eK.resizeBilinear(inputImage, [inputSize4, inputSize4]); - t10.div = He(t10.resized, constants.tf127); - t10.normalized = ke(t10.div, constants.tf05); + t10.resized = uj.resizeBilinear(inputImage, [inputSize4, inputSize4]); + t10.div = Ke(t10.resized, constants.tf127); + t10.normalized = Te(t10.div, constants.tf05); const res = model5 == null ? void 0 : model5.execute(t10.normalized); if (Array.isArray(res) && res.length > 2) { const sorted = res.sort((a, b) => a.size - b.size); - t10.concat384 = xt([sorted[0], sorted[2]], 2); - t10.concat512 = xt([sorted[1], sorted[3]], 2); - t10.concat = xt([t10.concat512, t10.concat384], 1); - t10.batch = Up(t10.concat, [0]); + t10.concat384 = yt([sorted[0], sorted[2]], 2); + t10.concat512 = yt([sorted[1], sorted[3]], 2); + t10.concat = yt([t10.concat512, t10.concat384], 1); + t10.batch = lc(t10.concat, [0]); } else if (Array.isArray(res)) { - t10.batch = Up(res[0]); + t10.batch = lc(res[0]); } else { - t10.batch = Up(res); + t10.batch = lc(res); } Ot(res); t10.boxes = decodeBoxes2(t10.batch); - t10.logits = Ke(t10.batch, [0, 0], [-1, 1]); - t10.sigmoid = Ws(t10.logits); - t10.scores = Up(t10.sigmoid); - t10.nms = await eK.nonMaxSuppressionAsync(t10.boxes, t10.scores, ((_a2 = config3.face.detector) == null ? void 0 : _a2.maxDetected) || 0, ((_b2 = config3.face.detector) == null ? void 0 : _b2.iouThreshold) || 0, ((_c2 = config3.face.detector) == null ? void 0 : _c2.minConfidence) || 0); + t10.logits = qe(t10.batch, [0, 0], [-1, 1]); + t10.sigmoid = wa(t10.logits); + t10.scores = lc(t10.sigmoid); + t10.nms = await uj.nonMaxSuppressionAsync(t10.boxes, t10.scores, ((_a2 = config3.face.detector) == null ? void 0 : _a2.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c2 = config3.face.detector) == null ? void 0 : _c2.minConfidence) || 0); const nms = await t10.nms.array(); const boxes = []; const scores = await t10.scores.data(); @@ -38555,9 +40649,9 @@ async function getBoxes(inputImage, config3) { const confidence = scores[nms[i]]; if (confidence > (((_d2 = config3.face.detector) == null ? void 0 : _d2.minConfidence) || 0)) { const b = {}; - b.bbox = Ke(t10.boxes, [nms[i], 0], [1, -1]); - b.slice = Ke(t10.batch, [nms[i], keypointsCount - 1], [1, -1]); - b.squeeze = Up(b.slice); + b.bbox = qe(t10.boxes, [nms[i], 0], [1, -1]); + b.slice = qe(t10.batch, [nms[i], keypointsCount - 1], [1, -1]); + b.squeeze = lc(b.slice); b.landmarks = W(b.squeeze, [keypointsCount, -1]); const points = await b.bbox.data(); const rawBox = { @@ -38566,7 +40660,7 @@ async function getBoxes(inputImage, config3) { landmarks: await b.landmarks.array(), confidence }; - b.anchor = Ke(anchors, [nms[i], 0], [1, 2]); + b.anchor = qe(anchors, [nms[i], 0], [1, 2]); const anchor = await b.anchor.data(); const scaledBox = scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize4, (inputImage.shape[1] || 0) / inputSize4], anchor); const enlargedBox = enlargeBox(scaledBox, config3.face["scale"] || faceBoxScaleFactor); @@ -38597,14 +40691,14 @@ var irisLandmarks = { numCoordinates: 76 }; async function load4(config3) { - var _a2, _b2; + var _a2, _b; if (env.initial) model6 = null; if (!model6) model6 = await loadModel((_a2 = config3.face.iris) == null ? void 0 : _a2.modelPath); else if (config3.debug) log("cached model:", model6["modelUrl"]); - inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b2 = model6.inputs) == null ? void 0 : _b2[0].shape) ? model6.inputs[0].shape[2] : 0; + inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b = model6.inputs) == null ? void 0 : _b[0].shape) ? model6.inputs[0].shape[2] : 0; if (inputSize5 === -1) inputSize5 = 64; return model6; @@ -38614,12 +40708,12 @@ function replaceIrisCoords(rawCoords, newCoords, prefix, keys) { const { key, indices } = irisIndices[i]; const originalIndices = meshAnnotations[`${prefix}${key}`]; if (!keys || keys.includes(key)) { - for (let j10 = 0; j10 < indices.length; j10++) { - const index2 = indices[j10]; - rawCoords[originalIndices[j10]] = [ + for (let j = 0; j < indices.length; j++) { + const index2 = indices[j]; + rawCoords[originalIndices[j]] = [ newCoords[index2][0], newCoords[index2][1], - (newCoords[index2][2] + rawCoords[originalIndices[j10]][2]) / 2 + (newCoords[index2][2] + rawCoords[originalIndices[j]][2]) / 2 ]; } } @@ -38633,14 +40727,14 @@ var getLeftToRightEyeDepthDifference = (rawCoords) => { var getEyeBox = (rawCoords, face4, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => { const box = squarifyBox(enlargeBox(calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge)); const boxSize = getBoxSize(box); - let crop = eK.cropAndResize(face4, [[ + let crop = uj.cropAndResize(face4, [[ box.startPoint[1] / meshSize, box.startPoint[0] / meshSize, box.endPoint[1] / meshSize, box.endPoint[0] / meshSize ]], [0], [inputSize5, inputSize5]); if (flip && env.kernels.includes("flipleftright")) { - const flipped = eK.flipLeftRight(crop); + const flipped = uj.flipLeftRight(crop); Ot(crop); crop = flipped; } @@ -38650,11 +40744,11 @@ var getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => { const eyeRawCoords = []; for (let i = 0; i < irisLandmarks.numCoordinates; i++) { const x = eyeData[i * 3]; - const y6 = eyeData[i * 3 + 1]; + const y5 = eyeData[i * 3 + 1]; const z = eyeData[i * 3 + 2]; eyeRawCoords.push([ (flip ? 1 - x / inputSize5 : x / inputSize5) * eyeBoxSize[0] + eyeBox.startPoint[0], - y6 / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], + y5 / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], z ]); } @@ -38679,7 +40773,7 @@ async function augmentIris(rawCoords, face4, meshSize) { return rawCoords; const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true); const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true); - const combined = xt([leftEyeCrop, rightEyeCrop]); + const combined = yt([leftEyeCrop, rightEyeCrop]); Ot(leftEyeCrop); Ot(rightEyeCrop); const eyePredictions = model6.execute(combined); @@ -38707,12 +40801,12 @@ async function augmentIris(rawCoords, face4, meshSize) { // src/face/attention.ts async function augment(rawCoords, results) { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2; const t10 = { // all attention models produce 2d results so it needs to be later augmented with correct z-coords // mesh: results[0], // already have it in rawCoords // output_mesh_identity // flag: results[1], // already processed in parent // conv_faceflag - lips: await ((_b2 = (_a2 = results.filter((r) => r.size === 160)) == null ? void 0 : _a2[0]) == null ? void 0 : _b2.data()), + lips: await ((_b = (_a2 = results.filter((r) => r.size === 160)) == null ? void 0 : _a2[0]) == null ? void 0 : _b.data()), // 80 x 2d = 160 // output_lips irisL: await ((_d2 = (_c2 = results.filter((r) => r.size === 10)) == null ? void 0 : _c2[0]) == null ? void 0 : _d2.data()), // 5 x 2d = 10 // output_right_iris @@ -38751,9 +40845,9 @@ var cache3 = { var model7 = null; var inputSize6 = 0; async function predict4(input, config3) { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2; const skipTime = (((_a2 = config3.face.detector) == null ? void 0 : _a2.skipTime) || 0) > now() - cache3.timestamp; - const skipFrame = cache3.skipped < (((_b2 = config3.face.detector) == null ? void 0 : _b2.skipFrames) || 0); + const skipFrame = cache3.skipped < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0); if (!config3.skipAllowed || !skipTime || !skipFrame || cache3.boxes.length === 0) { cache3.boxes = await getBoxes(input, config3); cache3.timestamp = now(); @@ -38798,7 +40892,7 @@ async function predict4(input, config3) { face4.score = face4.boxScore; face4.size = box.size; face4.mesh = box.landmarks; - face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + face4.meshRaw = face4.mesh.map((pt2) => [pt2[0] / (input.shape[2] || 0), pt2[1] / (input.shape[1] || 0), (pt2[2] || 0) / size2]); for (const key of Object.keys(blazeFaceLandmarks)) face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; } else if (!model7) { @@ -38821,7 +40915,7 @@ async function predict4(input, config3) { face4.boxRaw = getRawBox(box, input); face4.score = face4.boxScore; face4.mesh = box.landmarks; - face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size2]); + face4.meshRaw = face4.mesh.map((pt2) => [pt2[0] / (input.shape[2] || 1), pt2[1] / (input.shape[1] || 1), (pt2[2] || 0) / size2]); for (const key of Object.keys(blazeFaceLandmarks)) { face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; } @@ -38837,7 +40931,7 @@ async function predict4(input, config3) { rawCoords = await augmentIris(rawCoords, face4.tensor, inputSize6); } face4.mesh = transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize6); - face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + face4.meshRaw = face4.mesh.map((pt2) => [pt2[0] / (input.shape[2] || 0), pt2[1] / (input.shape[1] || 0), (pt2[2] || 0) / size2]); for (const key of Object.keys(meshAnnotations)) face4.annotations[key] = meshAnnotations[key].map((index2) => face4.mesh[index2]); face4.score = face4.faceScore; @@ -38862,11 +40956,11 @@ async function predict4(input, config3) { return faces; } async function load5(config3) { - var _a2, _b2, _c2, _d2, _e, _f2; + var _a2, _b, _c2, _d2, _e, _f2; if (env.initial) model7 = null; if (((_a2 = config3.face.attention) == null ? void 0 : _a2.enabled) && (model7 == null ? void 0 : model7["signature"])) { - if (Object.keys(((_b2 = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b2.outputs) || {}).length < 6) + if (Object.keys(((_b = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b.outputs) || {}).length < 6) model7 = null; } if (!model7) { @@ -38892,12 +40986,12 @@ var lastTime4 = 0; var skipped4 = Number.MAX_SAFE_INTEGER; var rgb = false; async function load6(config3) { - var _a2, _b2, _c2; + var _a2, _b, _c2; if (env.initial) model8 = null; if (!model8) { model8 = await loadModel((_a2 = config3.face.emotion) == null ? void 0 : _a2.modelPath); - rgb = ((_c2 = (_b2 = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b2[0].shape) == null ? void 0 : _c2[3]) === 3; + rgb = ((_c2 = (_b = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c2[3]) === 3; if (!rgb) annotations = ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"]; else @@ -38908,38 +41002,38 @@ async function load6(config3) { return model8; } async function predict5(image, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!model8) return []; const skipFrame = skipped4 < (((_a2 = config3.face.emotion) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face.emotion) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime4; + const skipTime = (((_b = config3.face.emotion) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime4; if (config3.skipAllowed && skipTime && skipFrame && lastCount === count2 && last3[idx] && last3[idx].length > 0) { skipped4++; return last3[idx]; } skipped4 = 0; return new Promise(async (resolve) => { - var _a3, _b3, _c2; + var _a3, _b2, _c2; const obj = []; if ((_a3 = config3.face.emotion) == null ? void 0 : _a3.enabled) { const t10 = {}; const inputSize10 = (model8 == null ? void 0 : model8.inputs[0].shape) ? model8.inputs[0].shape[2] : 0; - if (((_b3 = config3.face.emotion) == null ? void 0 : _b3["crop"]) > 0) { + if (((_b2 = config3.face.emotion) == null ? void 0 : _b2["crop"]) > 0) { const crop = (_c2 = config3.face.emotion) == null ? void 0 : _c2["crop"]; const box = [[crop, crop, 1 - crop, 1 - crop]]; - t10.resize = eK.cropAndResize(image, box, [0], [inputSize10, inputSize10]); + t10.resize = uj.cropAndResize(image, box, [0], [inputSize10, inputSize10]); } else { - t10.resize = eK.resizeBilinear(image, [inputSize10, inputSize10], false); + t10.resize = uj.resizeBilinear(image, [inputSize10, inputSize10], false); } if (rgb) { - t10.mul = ne(t10.resize, 255); - t10.normalize = ke(t10.mul, [103.939, 116.779, 123.68]); + t10.mul = se(t10.resize, 255); + t10.normalize = Te(t10.mul, [103.939, 116.779, 123.68]); t10.emotion = model8 == null ? void 0 : model8.execute(t10.normalize); } else { - t10.channels = ne(t10.resize, constants.rgb); - t10.grayscale = et(t10.channels, 3, true); - t10.grayscaleSub = ke(t10.grayscale, constants.tf05); - t10.grayscaleMul = ne(t10.grayscaleSub, constants.tf2); + t10.channels = se(t10.resize, constants.rgb); + t10.grayscale = ot(t10.channels, 3, true); + t10.grayscaleSub = Te(t10.grayscale, constants.tf05); + t10.grayscaleMul = se(t10.grayscaleSub, constants.tf2); t10.emotion = model8 == null ? void 0 : model8.execute(t10.grayscaleMul); } lastTime4 = now(); @@ -38974,24 +41068,24 @@ async function load7(config3) { return model9; } function enhance(input, config3) { - var _a2, _b2; + var _a2, _b; const tensor = input.image || input.tensor || input; if (!(model9 == null ? void 0 : model9.inputs[0].shape)) return tensor; let crop; if (((_a2 = config3.face.description) == null ? void 0 : _a2["crop"]) > 0) { - const cropval = (_b2 = config3.face.description) == null ? void 0 : _b2["crop"]; + const cropval = (_b = config3.face.description) == null ? void 0 : _b["crop"]; const box = [[cropval, cropval, 1 - cropval, 1 - cropval]]; - crop = eK.cropAndResize(tensor, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); + crop = uj.cropAndResize(tensor, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); } else { - crop = eK.resizeBilinear(tensor, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); + crop = uj.resizeBilinear(tensor, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); } - const norm = ne(crop, constants.tf255); + const norm = se(crop, constants.tf255); Ot(crop); return norm; } async function predict6(image, config3, idx, count2) { - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; const obj = { age: 0, gender: "unknown", @@ -39001,7 +41095,7 @@ async function predict6(image, config3, idx, count2) { if (!(model9 == null ? void 0 : model9["executor"])) return obj; const skipFrame = skipped5 < (((_a2 = config3.face.description) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face.description) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime5; + const skipTime = (((_b = config3.face.description) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime5; if (config3.skipAllowed && skipFrame && skipTime && lastCount2 === count2 && ((_c2 = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _c2.age) > 0 && ((_d2 = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _d2.genderScore) > 0) { skipped5++; return last4[idx]; @@ -39021,7 +41115,7 @@ async function predict6(image, config3, idx, count2) { obj.gender = gender2[0] <= 0.5 ? "female" : "male"; obj.genderScore = Math.min(0.99, confidence); } - const argmax = X0(resT.find((t10) => t10.shape[1] === 100), 1); + const argmax = mk(resT.find((t10) => t10.shape[1] === 100), 1); const ageIdx = (await argmax.data())[0]; Ot(argmax); const ageT = resT.find((t10) => t10.shape[1] === 100); @@ -39043,11 +41137,11 @@ async function predict6(image, config3, idx, count2) { // src/face/mask.ts var expandFact = 0.1; var alpha = 0.5; -function insidePoly(x, y6, polygon) { +function insidePoly(x, y5, polygon) { let inside = false; - let j10 = polygon.length - 1; - for (let i = 0; i < polygon.length; j10 = i++) { - if (polygon[i].y > y6 !== polygon[j10].y > y6 && x < (polygon[j10].x - polygon[i].x) * (y6 - polygon[i].y) / (polygon[j10].y - polygon[i].y) + polygon[i].x) + let j = polygon.length - 1; + for (let i = 0; i < polygon.length; j = i++) { + if (polygon[i].y > y5 !== polygon[j].y > y5 && x < (polygon[j].x - polygon[i].x) * (y5 - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x) inside = !inside; } return inside; @@ -39061,17 +41155,17 @@ async function mask(face4) { const height = face4.tensor.shape[1] || 0; const buffer = await face4.tensor.buffer(); let silhouette = []; - for (const pt of meshAnnotations.silhouette) - silhouette.push({ x: (face4.mesh[pt][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt][1] - face4.box[1]) / face4.box[3] }); + for (const pt2 of meshAnnotations.silhouette) + silhouette.push({ x: (face4.mesh[pt2][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt2][1] - face4.box[1]) / face4.box[3] }); if (expandFact && expandFact > 0) - silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); + silhouette = silhouette.map((pt2) => ({ x: pt2.x > 0.5 ? pt2.x + expandFact : pt2.x - expandFact, y: pt2.y > 0.5 ? pt2.y + expandFact : pt2.y - expandFact })); for (let x = 0; x < width; x++) { - for (let y6 = 0; y6 < height; y6++) { - const inside = insidePoly(x / width, y6 / width, silhouette); + for (let y5 = 0; y5 < height; y5++) { + const inside = insidePoly(x / width, y5 / width, silhouette); if (!inside) { - buffer.set(alpha * buffer.get(0, y6, x, 0), 0, y6, x, 0); - buffer.set(alpha * buffer.get(0, y6, x, 1), 0, y6, x, 1); - buffer.set(alpha * buffer.get(0, y6, x, 2), 0, y6, x, 2); + buffer.set(alpha * buffer.get(0, y5, x, 0), 0, y5, x, 0); + buffer.set(alpha * buffer.get(0, y5, x, 1), 0, y5, x, 1); + buffer.set(alpha * buffer.get(0, y5, x, 2), 0, y5, x, 2); } } } @@ -39096,18 +41190,18 @@ async function load8(config3) { return model10; } async function predict7(image, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!(model10 == null ? void 0 : model10["executor"])) return 0; const skipTime = (((_a2 = config3.face.antispoof) == null ? void 0 : _a2.skipTime) || 0) > now() - lastTime6; - const skipFrame = skipped6 < (((_b2 = config3.face.antispoof) == null ? void 0 : _b2.skipFrames) || 0); + const skipFrame = skipped6 < (((_b = config3.face.antispoof) == null ? void 0 : _b.skipFrames) || 0); if (config3.skipAllowed && skipTime && skipFrame && lastCount3 === count2 && cached[idx]) { skipped6++; return cached[idx]; } skipped6 = 0; return new Promise(async (resolve) => { - const resize = eK.resizeBilinear(image, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); + const resize = uj.resizeBilinear(image, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); const res = model10 == null ? void 0 : model10.execute(resize); const num = (await res.data())[0]; cached[idx] = Math.round(100 * num) / 100; @@ -39135,18 +41229,18 @@ async function load9(config3) { return model11; } async function predict8(image, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!(model11 == null ? void 0 : model11["executor"])) return 0; const skipTime = (((_a2 = config3.face.liveness) == null ? void 0 : _a2.skipTime) || 0) > now() - lastTime7; - const skipFrame = skipped7 < (((_b2 = config3.face.liveness) == null ? void 0 : _b2.skipFrames) || 0); + const skipFrame = skipped7 < (((_b = config3.face.liveness) == null ? void 0 : _b.skipFrames) || 0); if (config3.skipAllowed && skipTime && skipFrame && lastCount4 === count2 && cached2[idx]) { skipped7++; return cached2[idx]; } skipped7 = 0; return new Promise(async (resolve) => { - const resize = eK.resizeBilinear(image, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); + const resize = uj.resizeBilinear(image, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); const res = model11 == null ? void 0 : model11.execute(resize); const num = (await res.data())[0]; cached2[idx] = Math.round(100 * num) / 100; @@ -39176,27 +41270,27 @@ async function load10(config3) { return model12; } async function predict9(image, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!model12) return { age: 0, gender: "unknown", genderScore: 0, race: [] }; const skipFrame = skipped8 < (((_a2 = config3.face.gear) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face.gear) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime8; + const skipTime = (((_b = config3.face.gear) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime8; if (config3.skipAllowed && skipTime && skipFrame && lastCount5 === count2 && last5[idx]) { skipped8++; return last5[idx]; } skipped8 = 0; return new Promise(async (resolve) => { - var _a3, _b3, _c2, _d2; + var _a3, _b2, _c2, _d2; if (!(model12 == null ? void 0 : model12.inputs[0].shape)) return; const t10 = {}; let box = [[0, 0.1, 0.9, 0.9]]; if (((_a3 = config3.face.gear) == null ? void 0 : _a3["crop"]) > 0) { - const crop = (_b3 = config3.face.gear) == null ? void 0 : _b3["crop"]; + const crop = (_b2 = config3.face.gear) == null ? void 0 : _b2["crop"]; box = [[crop, crop, 1 - crop, 1 - crop]]; } - t10.resize = eK.cropAndResize(image, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); + t10.resize = uj.cropAndResize(image, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); const obj = { age: 0, gender: "unknown", genderScore: 0, race: [] }; if ((_c2 = config3.face.gear) == null ? void 0 : _c2.enabled) [t10.age, t10.gender, t10.race] = model12.execute(t10.resize, ["age_output", "gender_output", "race_output"]); @@ -39239,29 +41333,29 @@ async function load11(config3) { return model13; } async function predict10(image, config3, idx, count2) { - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; if (!model13) return { age: 0 }; const skipFrame = skipped9 < (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime9; + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime9; if (config3.skipAllowed && skipFrame && skipTime && lastCount6 === count2 && ((_c2 = last6[idx]) == null ? void 0 : _c2.age) && ((_d2 = last6[idx]) == null ? void 0 : _d2.age) > 0) { skipped9++; return last6[idx]; } skipped9 = 0; return new Promise(async (resolve) => { - var _a3, _b3, _c3; + var _a3, _b2, _c3; if (!(model13 == null ? void 0 : model13.inputs) || !model13.inputs[0] || !model13.inputs[0].shape) return; const t10 = {}; if (((_a3 = config3.face["ssrnet"]) == null ? void 0 : _a3["crop"]) > 0) { - const crop = (_b3 = config3.face["ssrnet"]) == null ? void 0 : _b3["crop"]; + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; const box = [[crop, crop, 1 - crop, 1 - crop]]; - t10.resize = eK.cropAndResize(image, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); + t10.resize = uj.cropAndResize(image, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); } else { - t10.resize = eK.resizeBilinear(image, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); + t10.resize = uj.resizeBilinear(image, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); } - t10.enhance = ne(t10.resize, constants.tf255); + t10.enhance = se(t10.resize, constants.tf255); const obj = { age: 0 }; if ((_c3 = config3.face["ssrnet"]) == null ? void 0 : _c3.enabled) t10.age = model13.execute(t10.enhance); @@ -39295,40 +41389,40 @@ async function load12(config3) { return model14; } async function predict11(image, config3, idx, count2) { - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; if (!model14) return { gender: "unknown", genderScore: 0 }; const skipFrame = skipped10 < (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime10; + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime10; if (config3.skipAllowed && skipFrame && skipTime && lastCount7 === count2 && ((_c2 = last7[idx]) == null ? void 0 : _c2.gender) && ((_d2 = last7[idx]) == null ? void 0 : _d2.genderScore) > 0) { skipped10++; return last7[idx]; } skipped10 = 0; return new Promise(async (resolve) => { - var _a3, _b3, _c3; + var _a3, _b2, _c3; if (!(model14 == null ? void 0 : model14.inputs[0].shape)) return; const t10 = {}; if (((_a3 = config3.face["ssrnet"]) == null ? void 0 : _a3["crop"]) > 0) { - const crop = (_b3 = config3.face["ssrnet"]) == null ? void 0 : _b3["crop"]; + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; const box = [[crop, crop, 1 - crop, 1 - crop]]; - t10.resize = eK.cropAndResize(image, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); + t10.resize = uj.cropAndResize(image, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); } else { - t10.resize = eK.resizeBilinear(image, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); + t10.resize = uj.resizeBilinear(image, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); } - t10.enhance = Ee(() => { - var _a4, _b4; + t10.enhance = De(() => { + var _a4, _b3; let normalize2; - if (((_b4 = (_a4 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a4[0].shape) == null ? void 0 : _b4[3]) === 1) { - const [red, green, blue] = Oa(t10.resize, 3, 3); - const redNorm = ne(red, rgb2[0]); - const greenNorm = ne(green, rgb2[1]); - const blueNorm = ne(blue, rgb2[2]); - const grayscale = K0([redNorm, greenNorm, blueNorm]); - normalize2 = ne(ke(grayscale, constants.tf05), 2); + if (((_b3 = (_a4 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a4[0].shape) == null ? void 0 : _b3[3]) === 1) { + const [red, green, blue] = ai(t10.resize, 3, 3); + const redNorm = se(red, rgb2[0]); + const greenNorm = se(green, rgb2[1]); + const blueNorm = se(blue, rgb2[2]); + const grayscale = pk([redNorm, greenNorm, blueNorm]); + normalize2 = se(Te(grayscale, constants.tf05), 2); } else { - normalize2 = ne(ke(t10.resize, constants.tf05), 2); + normalize2 = se(Te(t10.resize, constants.tf05), 2); } return normalize2; }); @@ -39363,11 +41457,11 @@ async function load13(config3) { return model15; } async function predict12(input, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!(model15 == null ? void 0 : model15["executor"])) return []; const skipFrame = skipped11 < (((_a2 = config3.face["mobilefacenet"]) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face["mobilefacenet"]) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime11; + const skipTime = (((_b = config3.face["mobilefacenet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime11; if (config3.skipAllowed && skipTime && skipFrame && lastCount8 === count2 && last8[idx]) { skipped11++; return last8[idx]; @@ -39377,7 +41471,7 @@ async function predict12(input, config3, idx, count2) { let data = []; if (((_a3 = config3.face["mobilefacenet"]) == null ? void 0 : _a3.enabled) && (model15 == null ? void 0 : model15.inputs[0].shape)) { const t10 = {}; - t10.crop = eK.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); + t10.crop = uj.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); t10.data = model15.execute(t10.crop); const output = await t10.data.data(); data = Array.from(output); @@ -39406,11 +41500,11 @@ async function load14(config3) { return model16; } async function predict13(input, config3, idx, count2) { - var _a2, _b2; + var _a2, _b; if (!(model16 == null ? void 0 : model16["executor"])) return []; const skipFrame = skipped12 < (((_a2 = config3.face["insightface"]) == null ? void 0 : _a2.skipFrames) || 0); - const skipTime = (((_b2 = config3.face["insightface"]) == null ? void 0 : _b2.skipTime) || 0) > now() - lastTime12; + const skipTime = (((_b = config3.face["insightface"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime12; if (config3.skipAllowed && skipTime && skipFrame && lastCount9 === count2 && last9[idx]) { skipped12++; return last9[idx]; @@ -39420,7 +41514,7 @@ async function predict13(input, config3, idx, count2) { let data = []; if (((_a3 = config3.face["insightface"]) == null ? void 0 : _a3.enabled) && (model16 == null ? void 0 : model16.inputs[0].shape)) { const t10 = {}; - t10.crop = eK.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); + t10.crop = uj.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); t10.data = model16.execute(t10.crop); const output = await t10.data.data(); data = Array.from(output); @@ -39455,24 +41549,24 @@ var calculateGaze = (face4) => { return { bearing, strength }; }; var calculateFaceAngle = (face4, imageSize) => { - const normalize2 = (v10) => { - const length = Math.sqrt(v10[0] * v10[0] + v10[1] * v10[1] + v10[2] * v10[2]); - v10[0] /= length; - v10[1] /= length; - v10[2] /= length; - return v10; + const normalize2 = (v5) => { + const length = Math.sqrt(v5[0] * v5[0] + v5[1] * v5[1] + v5[2] * v5[2]); + v5[0] /= length; + v5[1] /= length; + v5[2] /= length; + return v5; }; const subVectors = (a, b) => { const x = a[0] - b[0]; - const y6 = a[1] - b[1]; + const y5 = a[1] - b[1]; const z = a[2] - b[2]; - return [x, y6, z]; + return [x, y5, z]; }; const crossVectors = (a, b) => { const x = a[1] * b[2] - a[2] * b[1]; - const y6 = a[2] * b[0] - a[0] * b[2]; + const y5 = a[2] * b[0] - a[0] * b[2]; const z = a[0] * b[1] - a[1] * b[0]; - return [x, y6, z]; + return [x, y5, z]; }; const rotationMatrixToEulerAngle = (r) => { const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; @@ -39506,7 +41600,7 @@ var calculateFaceAngle = (face4, imageSize) => { if (!mesh || mesh.length < 300) return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } }; const size2 = Math.max(face4.boxRaw[2] * imageSize[0], face4.boxRaw[3] * imageSize[1]) / 1.5; - const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size2, pt[1] * imageSize[1] / size2, pt[2]]); + const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt2) => [pt2[0] * imageSize[0] / size2, pt2[1] * imageSize[1] / size2, pt2[2]]); const yAxis = normalize2(subVectors(pts[1], pts[0])); let xAxis = normalize2(subVectors(pts[3], pts[2])); const zAxis = normalize2(crossVectors(xAxis, yAxis)); @@ -39539,7 +41633,7 @@ function calculateCameraDistance(face4, width) { // src/face/face.ts var detectFace = async (instance, input) => { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k, _l2, _m2, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k2, _l2, _m, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w; let timeStamp = now(); let ageRes; let gearRes; @@ -39573,83 +41667,83 @@ var detectFace = async (instance, input) => { const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null; instance.analyze("Start Emotion:"); if (instance.config.async) { - emotionRes = ((_b2 = instance.config.face.emotion) == null ? void 0 : _b2.enabled) ? predict5(faces[i].tensor || nr([]), instance.config, i, faces.length) : []; + emotionRes = ((_b = instance.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || ir([]), instance.config, i, faces.length) : []; } else { instance.state = "run:emotion"; timeStamp = now(); - emotionRes = ((_c2 = instance.config.face.emotion) == null ? void 0 : _c2.enabled) ? await predict5(faces[i].tensor || nr([]), instance.config, i, faces.length) : []; + emotionRes = ((_c2 = instance.config.face.emotion) == null ? void 0 : _c2.enabled) ? await predict5(faces[i].tensor || ir([]), instance.config, i, faces.length) : []; instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); } instance.analyze("End Emotion:"); instance.analyze("Start AntiSpoof:"); if (instance.config.async) { - antispoofRes = ((_d2 = instance.config.face.antispoof) == null ? void 0 : _d2.enabled) ? predict7(faces[i].tensor || nr([]), instance.config, i, faces.length) : 0; + antispoofRes = ((_d2 = instance.config.face.antispoof) == null ? void 0 : _d2.enabled) ? predict7(faces[i].tensor || ir([]), instance.config, i, faces.length) : 0; } else { instance.state = "run:antispoof"; timeStamp = now(); - antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || nr([]), instance.config, i, faces.length) : 0; + antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || ir([]), instance.config, i, faces.length) : 0; instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); } instance.analyze("End AntiSpoof:"); instance.analyze("Start Liveness:"); if (instance.config.async) { - livenessRes = ((_f2 = instance.config.face.liveness) == null ? void 0 : _f2.enabled) ? predict8(faces[i].tensor || nr([]), instance.config, i, faces.length) : 0; + livenessRes = ((_f2 = instance.config.face.liveness) == null ? void 0 : _f2.enabled) ? predict8(faces[i].tensor || ir([]), instance.config, i, faces.length) : 0; } else { instance.state = "run:liveness"; timeStamp = now(); - livenessRes = ((_g2 = instance.config.face.liveness) == null ? void 0 : _g2.enabled) ? await predict8(faces[i].tensor || nr([]), instance.config, i, faces.length) : 0; + livenessRes = ((_g2 = instance.config.face.liveness) == null ? void 0 : _g2.enabled) ? await predict8(faces[i].tensor || ir([]), instance.config, i, faces.length) : 0; instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); } instance.analyze("End Liveness:"); instance.analyze("Start GEAR:"); if (instance.config.async) { - gearRes = ((_h2 = instance.config.face.gear) == null ? void 0 : _h2.enabled) ? predict9(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + gearRes = ((_h2 = instance.config.face.gear) == null ? void 0 : _h2.enabled) ? predict9(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; } else { instance.state = "run:gear"; timeStamp = now(); - gearRes = ((_i2 = instance.config.face.gear) == null ? void 0 : _i2.enabled) ? await predict9(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + gearRes = ((_i2 = instance.config.face.gear) == null ? void 0 : _i2.enabled) ? await predict9(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; instance.performance.gear = Math.trunc(now() - timeStamp); } instance.analyze("End GEAR:"); instance.analyze("Start SSRNet:"); if (instance.config.async) { - ageRes = ((_j2 = instance.config.face["ssrnet"]) == null ? void 0 : _j2.enabled) ? predict10(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; - genderRes = ((_k = instance.config.face["ssrnet"]) == null ? void 0 : _k.enabled) ? predict11(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + ageRes = ((_j2 = instance.config.face["ssrnet"]) == null ? void 0 : _j2.enabled) ? predict10(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; + genderRes = ((_k2 = instance.config.face["ssrnet"]) == null ? void 0 : _k2.enabled) ? predict11(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; } else { instance.state = "run:ssrnet"; timeStamp = now(); - ageRes = ((_l2 = instance.config.face["ssrnet"]) == null ? void 0 : _l2.enabled) ? await predict10(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; - genderRes = ((_m2 = instance.config.face["ssrnet"]) == null ? void 0 : _m2.enabled) ? await predict11(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + ageRes = ((_l2 = instance.config.face["ssrnet"]) == null ? void 0 : _l2.enabled) ? await predict10(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; + genderRes = ((_m = instance.config.face["ssrnet"]) == null ? void 0 : _m.enabled) ? await predict11(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; instance.performance.ssrnet = Math.trunc(now() - timeStamp); } instance.analyze("End SSRNet:"); instance.analyze("Start MobileFaceNet:"); if (instance.config.async) { - mobilefacenetRes = ((_n2 = instance.config.face["mobilefacenet"]) == null ? void 0 : _n2.enabled) ? predict12(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + mobilefacenetRes = ((_n2 = instance.config.face["mobilefacenet"]) == null ? void 0 : _n2.enabled) ? predict12(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; } else { instance.state = "run:mobilefacenet"; timeStamp = now(); - mobilefacenetRes = ((_o2 = instance.config.face["mobilefacenet"]) == null ? void 0 : _o2.enabled) ? await predict12(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + mobilefacenetRes = ((_o2 = instance.config.face["mobilefacenet"]) == null ? void 0 : _o2.enabled) ? await predict12(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); } instance.analyze("End MobileFaceNet:"); instance.analyze("Start InsightFace:"); if (instance.config.async) { - insightfaceRes = ((_p2 = instance.config.face["insightface"]) == null ? void 0 : _p2.enabled) ? predict13(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + insightfaceRes = ((_p2 = instance.config.face["insightface"]) == null ? void 0 : _p2.enabled) ? predict13(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; } else { instance.state = "run:mobilefacenet"; timeStamp = now(); - insightfaceRes = ((_q2 = instance.config.face["insightface"]) == null ? void 0 : _q2.enabled) ? await predict13(faces[i].tensor || nr([]), instance.config, i, faces.length) : null; + insightfaceRes = ((_q2 = instance.config.face["insightface"]) == null ? void 0 : _q2.enabled) ? await predict13(faces[i].tensor || ir([]), instance.config, i, faces.length) : null; instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); } instance.analyze("End InsightFace:"); instance.analyze("Start Description:"); if (instance.config.async) { - descRes = predict6(faces[i].tensor || nr([]), instance.config, i, faces.length); + descRes = predict6(faces[i].tensor || ir([]), instance.config, i, faces.length); } else { instance.state = "run:description"; timeStamp = now(); - descRes = await predict6(faces[i].tensor || nr([]), instance.config, i, faces.length); + descRes = await predict6(faces[i].tensor || ir([]), instance.config, i, faces.length); instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); } instance.analyze("End Description:"); @@ -39681,7 +41775,7 @@ var detectFace = async (instance, input) => { descRes.descriptor = insightfaceRes; } const irisSize = ((_v2 = instance.config.face.iris) == null ? void 0 : _v2.enabled) ? calculateCameraDistance(faces[i], input.shape[2]) : 0; - const tensor = ((_w2 = instance.config.face.detector) == null ? void 0 : _w2.return) ? Up(faces[i].tensor) : null; + const tensor = ((_w = instance.config.face.detector) == null ? void 0 : _w.return) ? lc(faces[i].tensor) : null; Ot(faces[i].tensor); if (faces[i].tensor) delete faces[i].tensor; @@ -39800,7 +41894,7 @@ var FingerGesture = class { weight(finger, weight) { this.weights[finger] = weight; const total = this.weights.reduce((a, b) => a + b, 0); - this.weightsRelative = this.weights.map((el2) => el2 * 5 / total); + this.weightsRelative = this.weights.map((el) => el * 5 / total); } matchAgainst(detectedCurls, detectedDirections) { let confidence = 0; @@ -40193,12 +42287,12 @@ var face2 = (res) => { return gestures; }; var iris2 = (res) => { - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; if (!res) return []; const gestures = []; for (let i = 0; i < res.length; i++) { - if (!((_b2 = (_a2 = res[i].annotations) == null ? void 0 : _a2.leftEyeIris) == null ? void 0 : _b2[0]) || !((_d2 = (_c2 = res[i].annotations) == null ? void 0 : _c2.rightEyeIris) == null ? void 0 : _d2[0])) + if (!((_b = (_a2 = res[i].annotations) == null ? void 0 : _a2.leftEyeIris) == null ? void 0 : _b[0]) || !((_d2 = (_c2 = res[i].annotations) == null ? void 0 : _c2.rightEyeIris) == null ? void 0 : _d2[0])) continue; const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0]; const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1]; @@ -40285,7 +42379,7 @@ function cutBoxFromImageAndResize(box, image, cropSize) { box.endPoint[1] / h, box.endPoint[0] / w ]]; - return eK.cropAndResize(image, boxes, [0], cropSize); + return uj.cropAndResize(image, boxes, [0], cropSize); } function scaleBoxCoordinates2(box, factor) { const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; @@ -40320,7 +42414,7 @@ function computeRotation2(point1, point2) { const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]); return normalizeRadians2(radians); } -var buildTranslationMatrix2 = (x, y6) => [[1, 0, x], [0, 1, y6], [0, 0, 1]]; +var buildTranslationMatrix2 = (x, y5) => [[1, 0, x], [0, 1, y5], [0, 0, 1]]; function dot2(v12, v22) { let product = 0; for (let i = 0; i < v12.length; i++) { @@ -43332,59 +45426,59 @@ var HandDetector = class { __publicField(this, "inputSize"); __publicField(this, "inputSizeTensor"); __publicField(this, "doubleInputSizeTensor"); - var _a2, _b2, _c2, _d2; + var _a2, _b, _c2, _d2; this.model = model23; this.anchors = anchors2.map((anchor) => [anchor.x, anchor.y]); - this.anchorsTensor = Oi(this.anchors); - this.inputSize = ((_d2 = (_c2 = (_b2 = (_a2 = this == null ? void 0 : this.model) == null ? void 0 : _a2.inputs) == null ? void 0 : _b2[0]) == null ? void 0 : _c2.shape) == null ? void 0 : _d2[2]) || 0; - this.inputSizeTensor = dr([this.inputSize, this.inputSize]); - this.doubleInputSizeTensor = dr([this.inputSize * 2, this.inputSize * 2]); + this.anchorsTensor = uu(this.anchors); + this.inputSize = ((_d2 = (_c2 = (_b = (_a2 = this == null ? void 0 : this.model) == null ? void 0 : _a2.inputs) == null ? void 0 : _b[0]) == null ? void 0 : _c2.shape) == null ? void 0 : _d2[2]) || 0; + this.inputSizeTensor = xr([this.inputSize, this.inputSize]); + this.doubleInputSizeTensor = xr([this.inputSize * 2, this.inputSize * 2]); } normalizeBoxes(boxes) { const t10 = {}; - t10.boxOffsets = Ke(boxes, [0, 0], [-1, 2]); - t10.boxSizes = Ke(boxes, [0, 2], [-1, 2]); - t10.div = He(t10.boxOffsets, this.inputSizeTensor); + t10.boxOffsets = qe(boxes, [0, 0], [-1, 2]); + t10.boxSizes = qe(boxes, [0, 2], [-1, 2]); + t10.div = Ke(t10.boxOffsets, this.inputSizeTensor); t10.boxCenterPoints = be(t10.div, this.anchorsTensor); - t10.halfBoxSizes = He(t10.boxSizes, this.doubleInputSizeTensor); - t10.sub = ke(t10.boxCenterPoints, t10.halfBoxSizes); - t10.startPoints = ne(t10.sub, this.inputSizeTensor); + t10.halfBoxSizes = Ke(t10.boxSizes, this.doubleInputSizeTensor); + t10.sub = Te(t10.boxCenterPoints, t10.halfBoxSizes); + t10.startPoints = se(t10.sub, this.inputSizeTensor); t10.add = be(t10.boxCenterPoints, t10.halfBoxSizes); - t10.endPoints = ne(t10.add, this.inputSizeTensor); - const res = fv([t10.startPoints, t10.endPoints], 1); + t10.endPoints = se(t10.add, this.inputSizeTensor); + const res = Dk([t10.startPoints, t10.endPoints], 1); Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return res; } normalizeLandmarks(rawPalmLandmarks, index2) { const t10 = {}; t10.reshape = W(rawPalmLandmarks, [-1, 7, 2]); - t10.div = He(t10.reshape, this.inputSizeTensor); + t10.div = Ke(t10.reshape, this.inputSizeTensor); t10.landmarks = be(t10.div, this.anchors[index2] ? this.anchors[index2] : 0); - const res = ne(t10.landmarks, this.inputSizeTensor); + const res = se(t10.landmarks, this.inputSizeTensor); Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return res; } async predict(input, config3) { var _a2; const t10 = {}; - t10.resize = eK.resizeBilinear(input, [this.inputSize, this.inputSize]); - t10.div = He(t10.resize, constants.tf127); - t10.image = ke(t10.div, constants.tf1); + t10.resize = uj.resizeBilinear(input, [this.inputSize, this.inputSize]); + t10.div = Ke(t10.resize, constants.tf127); + t10.image = Te(t10.div, constants.tf1); t10.batched = this.model.execute(t10.image); - t10.predictions = Up(t10.batched); - t10.slice = Ke(t10.predictions, [0, 0], [-1, 1]); - t10.sigmoid = Ws(t10.slice); - t10.scores = Up(t10.sigmoid); + t10.predictions = lc(t10.batched); + t10.slice = qe(t10.predictions, [0, 0], [-1, 1]); + t10.sigmoid = wa(t10.slice); + t10.scores = lc(t10.sigmoid); const scores = await t10.scores.data(); - t10.boxes = Ke(t10.predictions, [0, 1], [-1, 4]); + t10.boxes = qe(t10.predictions, [0, 1], [-1, 4]); t10.norm = this.normalizeBoxes(t10.boxes); - t10.nms = await eK.nonMaxSuppressionAsync(t10.norm, t10.scores, 3 * (((_a2 = config3.hand) == null ? void 0 : _a2.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); + t10.nms = await uj.nonMaxSuppressionAsync(t10.norm, t10.scores, 3 * (((_a2 = config3.hand) == null ? void 0 : _a2.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); const nms = await t10.nms.array(); const hands = []; for (const index2 of nms) { const p = {}; - p.box = Ke(t10.norm, [index2, 0], [1, -1]); - p.slice = Ke(t10.predictions, [index2, 5], [1, 14]); + p.box = qe(t10.norm, [index2, 0], [1, -1]); + p.slice = qe(t10.predictions, [index2, 5], [1, 14]); p.norm = this.normalizeLandmarks(p.slice, index2); p.palmLandmarks = W(p.norm, [-1, 2]); const box = await p.box.data(); @@ -43416,10 +45510,10 @@ var HandPipeline = class { __publicField(this, "storedBoxes"); __publicField(this, "skipped"); __publicField(this, "detectedHands"); - var _a2, _b2, _c2; + var _a2, _b, _c2; this.handDetector = handDetector; this.handPoseModel = handPoseModel2; - this.inputSize = ((_c2 = (_b2 = (_a2 = this.handPoseModel) == null ? void 0 : _a2.inputs) == null ? void 0 : _b2[0].shape) == null ? void 0 : _c2[2]) || 0; + this.inputSize = ((_c2 = (_b = (_a2 = this.handPoseModel) == null ? void 0 : _a2.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c2[2]) || 0; this.storedBoxes = []; this.skipped = Number.MAX_SAFE_INTEGER; this.detectedHands = 0; @@ -43496,11 +45590,11 @@ var HandPipeline = class { const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0; const palmCenter = getBoxCenter2(currentBox); const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]]; - const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? eK.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone(); + const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? uj.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone(); const rotationMatrix = buildRotationMatrix2(-angle, palmCenter); const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox; const croppedInput = cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]); - const handImage = He(croppedInput, constants.tf255); + const handImage = Ke(croppedInput, constants.tf255); Ot(croppedInput); Ot(rotatedImage); const [confidenceT, keypoints] = this.handPoseModel.execute(handImage); @@ -43576,15 +45670,15 @@ async function predict14(input, config3) { let box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; let boxRaw = [0, 0, 0, 0]; if (keypoints && keypoints.length > 0) { - for (const pt of keypoints) { - if (pt[0] < box[0]) - box[0] = pt[0]; - if (pt[1] < box[1]) - box[1] = pt[1]; - if (pt[0] > box[2]) - box[2] = pt[0]; - if (pt[1] > box[3]) - box[3] = pt[1]; + for (const pt2 of keypoints) { + if (pt2[0] < box[0]) + box[0] = pt2[0]; + if (pt2[1] < box[1]) + box[1] = pt2[1]; + if (pt2[0] > box[2]) + box[2] = pt2[0]; + if (pt2[1] > box[3]) + box[3] = pt2[1]; } box[2] -= box[0]; box[3] -= box[1]; @@ -43620,7 +45714,7 @@ async function predict14(input, config3) { return hands; } async function load15(config3) { - var _a2, _b2; + var _a2, _b; if (env.initial) { handDetectorModel = null; handPoseModel = null; @@ -43628,7 +45722,7 @@ async function load15(config3) { if (!handDetectorModel || !handPoseModel) { [handDetectorModel, handPoseModel] = await Promise.all([ config3.hand.enabled ? loadModel((_a2 = config3.hand.detector) == null ? void 0 : _a2.modelPath) : null, - config3.hand.landmarks ? loadModel((_b2 = config3.hand.skeleton) == null ? void 0 : _b2.modelPath) : null + config3.hand.landmarks ? loadModel((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) : null ]); } else { if (config3.debug) @@ -43710,25 +45804,25 @@ async function detectHands(input, config3) { const ratio2 = (input.shape[2] || 1) / (input.shape[1] || 1); const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); const width = Math.round(height * ratio2 / 8) * 8; - t10.resize = eK.resizeBilinear(input, [height, width]); - t10.cast = je(t10.resize, "int32"); + t10.resize = uj.resizeBilinear(input, [height, width]); + t10.cast = Ye(t10.resize, "int32"); [t10.rawScores, t10.rawBoxes] = await models2[0].executeAsync(t10.cast, modelOutputNodes); - t10.boxes = Up(t10.rawBoxes, [0, 2]); - t10.scores = Up(t10.rawScores, [0]); - const classScores = so(t10.scores, 1); + t10.boxes = lc(t10.rawBoxes, [0, 2]); + t10.scores = lc(t10.rawScores, [0]); + const classScores = po(t10.scores, 1); Ot(classScores[faceIndex]); classScores.splice(faceIndex, 1); - t10.filtered = Sr(classScores, 1); + t10.filtered = vr(classScores, 1); Ot(classScores); - t10.max = Gs(t10.filtered, 1); - t10.argmax = X0(t10.filtered, 1); + t10.max = Ia(t10.filtered, 1); + t10.argmax = mk(t10.filtered, 1); let id2 = 0; - t10.nms = await eK.nonMaxSuppressionAsync(t10.boxes, t10.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); + t10.nms = await uj.nonMaxSuppressionAsync(t10.boxes, t10.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); const nms = await t10.nms.data(); const scores = await t10.max.data(); const classNum = await t10.argmax.data(); for (const nmsIndex of Array.from(nms)) { - const boxSlice = Ke(t10.boxes, nmsIndex, 1); + const boxSlice = qe(t10.boxes, nmsIndex, 1); const boxYX = await boxSlice.data(); Ot(boxSlice); const boxData = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; @@ -43762,8 +45856,8 @@ async function detectFingers(input, h, config3) { if (input && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) { const t10 = {}; const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]]; - t10.crop = eK.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); - t10.div = He(t10.crop, constants.tf255); + t10.crop = uj.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); + t10.div = Ke(t10.crop, constants.tf255); [t10.score, t10.keypoints] = models2[1].execute(t10.div, ["Identity_1", "Identity"]); const rawScore = (await t10.score.data())[0]; const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; @@ -43784,8 +45878,8 @@ async function detectFingers(input, h, config3) { return hand3; } async function predict15(input, config3) { - var _a2, _b2; - if (!((_a2 = models2[0]) == null ? void 0 : _a2["executor"]) || !((_b2 = models2[1]) == null ? void 0 : _b2["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) + var _a2, _b; + if (!((_a2 = models2[0]) == null ? void 0 : _a2["executor"]) || !((_b = models2[1]) == null ? void 0 : _b["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) return []; outputSize = [input.shape[2] || 0, input.shape[1] || 0]; skipped13++; @@ -43897,7 +45991,7 @@ var connected3 = { var bufferedResult = empty(); var interpolateTime = 0; function calc2(newResult, config3) { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k, _l2, _m2, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w2, _x2, _y, _z2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k2, _l2, _m, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w, _x2, _y, _z2; const t0 = now(); if (!newResult) return empty(); @@ -43911,27 +46005,27 @@ function calc2(newResult, config3) { bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)); } else { for (let i = 0; i < newResult.body.length; i++) { - const box = newResult.body[i].box.map((newBoxCoord, j10) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j10] + newBoxCoord) / bufferedFactor); - const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j10) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j10] + newBoxCoord) / bufferedFactor); - const keypoints = newResult.body[i].keypoints.map((newKpt, j10) => { - var _a3, _b3, _c3, _d3, _e2, _f3, _g3, _h3, _i3; + const box = newResult.body[i].box.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor); + const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor); + const keypoints = newResult.body[i].keypoints.map((newKpt, j) => { + var _a3, _b2, _c3, _d3, _e2, _f3, _g3, _h3, _i3; return { score: newKpt.score, part: newKpt.part, position: [ - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] ], positionRaw: [ - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j10].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] ], distance: [ - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (((_a3 = bufferedResult.body[i].keypoints[j10].distance) == null ? void 0 : _a3[0]) || 0) + (((_b3 = newKpt.distance) == null ? void 0 : _b3[0]) || 0)) / bufferedFactor : (_c3 = newKpt.distance) == null ? void 0 : _c3[0], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (((_d3 = bufferedResult.body[i].keypoints[j10].distance) == null ? void 0 : _d3[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f3 = newKpt.distance) == null ? void 0 : _f3[1], - bufferedResult.body[i].keypoints[j10] ? ((bufferedFactor - 1) * (((_g3 = bufferedResult.body[i].keypoints[j10].distance) == null ? void 0 : _g3[2]) || 0) + (((_h3 = newKpt.distance) == null ? void 0 : _h3[2]) || 0)) / bufferedFactor : (_i3 = newKpt.distance) == null ? void 0 : _i3[2] + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_a3 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _a3[0]) || 0) + (((_b2 = newKpt.distance) == null ? void 0 : _b2[0]) || 0)) / bufferedFactor : (_c3 = newKpt.distance) == null ? void 0 : _c3[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_d3 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _d3[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f3 = newKpt.distance) == null ? void 0 : _f3[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_g3 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _g3[2]) || 0) + (((_h3 = newKpt.distance) == null ? void 0 : _h3[2]) || 0)) / bufferedFactor : (_i3 = newKpt.distance) == null ? void 0 : _i3[2] ] }; }); @@ -43939,19 +46033,19 @@ function calc2(newResult, config3) { let coords = { connected: {} }; if ((_a2 = config3.body.modelPath) == null ? void 0 : _a2.includes("efficientpose")) coords = efficientposecoords_exports; - else if ((_b2 = config3.body.modelPath) == null ? void 0 : _b2.includes("blazepose")) + else if ((_b = config3.body.modelPath) == null ? void 0 : _b.includes("blazepose")) coords = blazeposecoords_exports; else if ((_c2 = config3.body.modelPath) == null ? void 0 : _c2.includes("movenet")) coords = movenetcoords_exports; for (const [name, indexes] of Object.entries(coords.connected)) { - const pt = []; - for (let j10 = 0; j10 < indexes.length - 1; j10++) { - const pt0 = keypoints.find((kp2) => kp2.part === indexes[j10]); - const pt1 = keypoints.find((kp2) => kp2.part === indexes[j10 + 1]); + const pt2 = []; + for (let j = 0; j < indexes.length - 1; j++) { + const pt0 = keypoints.find((kp2) => kp2.part === indexes[j]); + const pt1 = keypoints.find((kp2) => kp2.part === indexes[j + 1]); if (pt0 && pt1) - pt.push([pt0.position, pt1.position]); + pt2.push([pt0.position, pt1.position]); } - annotations2[name] = pt; + annotations2[name] = pt2; } bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations2 }; } @@ -43960,18 +46054,18 @@ function calc2(newResult, config3) { bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); } else { for (let i = 0; i < newResult.hand.length; i++) { - const box = newResult.hand[i].box.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j10] + b) / bufferedFactor); - const boxRaw = newResult.hand[i].boxRaw.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j10] + b) / bufferedFactor); + const box = newResult.hand[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.hand[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor); if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; - const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j10) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j10][k] || 1) + (coord || 0)) / bufferedFactor)) : []; + const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; let annotations2 = {}; if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) { bufferedResult.hand[i].annotations = newResult.hand[i].annotations; annotations2 = bufferedResult.hand[i].annotations; } else if (newResult.hand[i].annotations) { for (const key of Object.keys(newResult.hand[i].annotations)) { - annotations2[key] = ((_f2 = (_e = (_d2 = newResult.hand[i]) == null ? void 0 : _d2.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f2[0]) ? newResult.hand[i].annotations[key].map((val, j10) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j10][k] + coord) / bufferedFactor)) : null; + annotations2[key] = ((_f2 = (_e = (_d2 = newResult.hand[i]) == null ? void 0 : _d2.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f2[0]) ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; } } bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations2 }; @@ -43981,28 +46075,28 @@ function calc2(newResult, config3) { bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)); } else { for (let i = 0; i < newResult.face.length; i++) { - const box = newResult.face[i].box.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j10] + b) / bufferedFactor); - const boxRaw = newResult.face[i].boxRaw.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j10] + b) / bufferedFactor); + const box = newResult.face[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.face[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor); let annotations2 = newResult.face[i].annotations; if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) { bufferedResult.face[i].annotations = newResult.face[i].annotations; annotations2 = bufferedResult.face[i].annotations; } else if (newResult.face[i].annotations) { for (const key of Object.keys(newResult.face[i].annotations)) { - annotations2[key] = ((_i2 = (_h2 = (_g2 = newResult.face[i]) == null ? void 0 : _g2.annotations) == null ? void 0 : _h2[key]) == null ? void 0 : _i2[0]) ? newResult.face[i].annotations[key].map((val, j10) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j10][k] + coord) / bufferedFactor)) : null; + annotations2[key] = ((_i2 = (_h2 = (_g2 = newResult.face[i]) == null ? void 0 : _g2.annotations) == null ? void 0 : _h2[key]) == null ? void 0 : _i2[0]) ? newResult.face[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; } } if (newResult.face[i].rotation) { const rotation = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } }; rotation.matrix = (_j2 = newResult.face[i].rotation) == null ? void 0 : _j2.matrix; rotation.angle = { - roll: ((bufferedFactor - 1) * (((_l2 = (_k = bufferedResult.face[i].rotation) == null ? void 0 : _k.angle) == null ? void 0 : _l2.roll) || 0) + (((_n2 = (_m2 = newResult.face[i].rotation) == null ? void 0 : _m2.angle) == null ? void 0 : _n2.roll) || 0)) / bufferedFactor, + roll: ((bufferedFactor - 1) * (((_l2 = (_k2 = bufferedResult.face[i].rotation) == null ? void 0 : _k2.angle) == null ? void 0 : _l2.roll) || 0) + (((_n2 = (_m = newResult.face[i].rotation) == null ? void 0 : _m.angle) == null ? void 0 : _n2.roll) || 0)) / bufferedFactor, yaw: ((bufferedFactor - 1) * (((_p2 = (_o2 = bufferedResult.face[i].rotation) == null ? void 0 : _o2.angle) == null ? void 0 : _p2.yaw) || 0) + (((_r2 = (_q2 = newResult.face[i].rotation) == null ? void 0 : _q2.angle) == null ? void 0 : _r2.yaw) || 0)) / bufferedFactor, pitch: ((bufferedFactor - 1) * (((_t = (_s2 = bufferedResult.face[i].rotation) == null ? void 0 : _s2.angle) == null ? void 0 : _t.pitch) || 0) + (((_v2 = (_u2 = newResult.face[i].rotation) == null ? void 0 : _u2.angle) == null ? void 0 : _v2.pitch) || 0)) / bufferedFactor }; rotation.gaze = { // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive - bearing: ((bufferedFactor - 1) * (((_w2 = bufferedResult.face[i].rotation) == null ? void 0 : _w2.gaze.bearing) || 0) + (((_x2 = newResult.face[i].rotation) == null ? void 0 : _x2.gaze.bearing) || 0)) / bufferedFactor, + bearing: ((bufferedFactor - 1) * (((_w = bufferedResult.face[i].rotation) == null ? void 0 : _w.gaze.bearing) || 0) + (((_x2 = newResult.face[i].rotation) == null ? void 0 : _x2.gaze.bearing) || 0)) / bufferedFactor, strength: ((bufferedFactor - 1) * (((_y = bufferedResult.face[i].rotation) == null ? void 0 : _y.gaze.strength) || 0) + (((_z2 = newResult.face[i].rotation) == null ? void 0 : _z2.gaze.strength) || 0)) / bufferedFactor }; bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations: annotations2 }; @@ -44015,8 +46109,8 @@ function calc2(newResult, config3) { bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)); } else { for (let i = 0; i < newResult.object.length; i++) { - const box = newResult.object[i].box.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j10] + b) / bufferedFactor); - const boxRaw = newResult.object[i].boxRaw.map((b, j10) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j10] + b) / bufferedFactor); + const box = newResult.object[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.object[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor); bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; } } @@ -44026,7 +46120,7 @@ function calc2(newResult, config3) { bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)); } else { for (let i = 0; i < newPersons.length; i++) { - bufferedResult.persons[i].box = newPersons[i].box.map((box, j10) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j10] + box) / bufferedFactor); + bufferedResult.persons[i].box = newPersons[i].box.map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor); } } } @@ -44057,27 +46151,27 @@ async function predict16(input, config3) { if (!(model17 == null ? void 0 : model17["executor"]) || !((_a2 = model17 == null ? void 0 : model17.inputs) == null ? void 0 : _a2[0].shape)) return null; const t10 = {}; - t10.resize = eK.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); - t10.norm = He(t10.resize, constants.tf255); + t10.resize = uj.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); + t10.norm = Ke(t10.resize, constants.tf255); t10.res = model17.execute(t10.norm); - t10.squeeze = Up(t10.res, [0]); - [t10.bgRaw, t10.fgRaw] = so(t10.squeeze, 2); - t10.fg = Jk(t10.fgRaw); - t10.mul = ne(t10.fg, constants.tf255); - t10.expand = Ra(t10.mul, 2); - t10.output = eK.resizeBilinear(t10.expand, [input.shape[1] || 0, input.shape[2] || 0]); + t10.squeeze = lc(t10.res, [0]); + [t10.bgRaw, t10.fgRaw] = po(t10.squeeze, 2); + t10.fg = y1(t10.fgRaw); + t10.mul = se(t10.fg, constants.tf255); + t10.expand = oi(t10.mul, 2); + t10.output = uj.resizeBilinear(t10.expand, [input.shape[1] || 0, input.shape[2] || 0]); let rgba; switch (config3.segmentation.mode || "default") { case "default": - t10.input = Up(input); - t10.concat = xt([t10.input, t10.output], -1); - rgba = je(t10.concat, "int32"); + t10.input = lc(input); + t10.concat = yt([t10.input, t10.output], -1); + rgba = Ye(t10.concat, "int32"); break; case "alpha": - rgba = je(t10.output, "int32"); + rgba = Ye(t10.output, "int32"); break; default: - rgba = nr(0); + rgba = ir(0); } Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return rgba; @@ -44203,9 +46297,9 @@ function jitter(keypoints) { return keypoints; } function padInput(input, inputSize10) { - var _a2, _b2; + var _a2, _b; const t10 = {}; - if (!((_a2 = input == null ? void 0 : input.shape) == null ? void 0 : _a2[1]) || !((_b2 = input == null ? void 0 : input.shape) == null ? void 0 : _b2[2])) + if (!((_a2 = input == null ? void 0 : input.shape) == null ? void 0 : _a2[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) return input; cache5.padding = [ [0, 0], @@ -44217,9 +46311,9 @@ function padInput(input, inputSize10) { [0, 0] // dont touch rbg ]; - t10.pad = Ks(input, cache5.padding); - t10.resize = eK.resizeBilinear(t10.pad, [inputSize10, inputSize10]); - const final = je(t10.resize, "int32"); + t10.pad = ka(input, cache5.padding); + t10.resize = uj.resizeBilinear(t10.pad, [inputSize10, inputSize10]); + const final = Ye(t10.resize, "int32"); Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return final; } @@ -44235,7 +46329,7 @@ function rescaleBody(body4, outputSize2) { kpt4.position[1] / outputSize2[1] ]; } - const rescaledBoxes = calc(body4.keypoints.map((pt) => pt.position), outputSize2); + const rescaledBoxes = calc(body4.keypoints.map((pt2) => pt2.position), outputSize2); body4.box = rescaledBoxes.box; body4.boxRaw = rescaledBoxes.boxRaw; return body4; @@ -44262,8 +46356,8 @@ async function load17(config3) { inputSize8 = (model18 == null ? void 0 : model18["executor"]) && ((_a2 = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a2[0].shape) ? model18.inputs[0].shape[2] : 0; if (inputSize8 < 64) inputSize8 = 256; - if (O().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) - O().set("WEBGL_USE_SHAPES_UNIFORMS", false); + if (P().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + P().set("WEBGL_USE_SHAPES_UNIFORMS", false); return model18; } function parseSinglePose(res, config3, image) { @@ -44288,17 +46382,17 @@ function parseSinglePose(res, config3, image) { } score = keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); const bodies = []; - const newBox = calc(keypoints.map((pt) => pt.position), [image.shape[2], image.shape[1]]); + const newBox = calc(keypoints.map((pt2) => pt2.position), [image.shape[2], image.shape[1]]); const annotations2 = {}; for (const [name, indexes] of Object.entries(connected3)) { - const pt = []; + const pt2 = []; for (let i = 0; i < indexes.length - 1; i++) { const pt0 = keypoints.find((kp2) => kp2.part === indexes[i]); const pt1 = keypoints.find((kp2) => kp2.part === indexes[i + 1]); if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) - pt.push([pt0.position, pt1.position]); + pt2.push([pt0.position, pt1.position]); } - annotations2[name] = pt; + annotations2[name] = pt2; } const body4 = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations: annotations2 }; bodyParts(body4); @@ -44328,14 +46422,14 @@ function parseMultiPose(res, config3, image) { const boxNorm = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))]; const annotations2 = {}; for (const [name, indexes] of Object.entries(connected3)) { - const pt = []; + const pt2 = []; for (let i = 0; i < indexes.length - 1; i++) { const pt0 = keypoints.find((kp2) => kp2.part === indexes[i]); const pt1 = keypoints.find((kp2) => kp2.part === indexes[i + 1]); if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) - pt.push([pt0.position, pt1.position]); + pt2.push([pt0.position, pt1.position]); } - annotations2[name] = pt; + annotations2[name] = pt2; } const body4 = { id: id2, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations: annotations2 }; bodyParts(body4); @@ -44393,34 +46487,34 @@ async function load18(config3) { return model19; } async function process4(res, outputShape, config3) { - var _a2, _b2; + var _a2, _b; let id2 = 0; let results = []; const size2 = inputSize9; for (const strideSize of [1, 2, 4]) { const baseSize = strideSize * 13; - const scoresT = Up(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); + const scoresT = lc(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); const scores = await scoresT.array(); - const featuresT = Up(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); + const featuresT = lc(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); const boxesMaxT = W(featuresT, [-1, 4, (((_a2 = featuresT.shape) == null ? void 0 : _a2[1]) || 0) / 4]); - const boxIdxT = X0(boxesMaxT, 2); + const boxIdxT = mk(boxesMaxT, 2); const boxIdx = await boxIdxT.array(); for (let i = 0; i < scoresT.shape[0]; i++) { - for (let j10 = 0; j10 < (((_b2 = scoresT.shape) == null ? void 0 : _b2[1]) || 0); j10++) { - const score = scores[i][j10]; - if (score > (config3.object.minConfidence || 0) && j10 !== 61) { + for (let j = 0; j < (((_b = scoresT.shape) == null ? void 0 : _b[1]) || 0); j++) { + const score = scores[i][j]; + if (score > (config3.object.minConfidence || 0) && j !== 61) { const cx2 = (0.5 + Math.trunc(i % baseSize)) / baseSize; - const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; + const cy2 = (0.5 + Math.trunc(i / baseSize)) / baseSize; const boxOffset = boxIdx[i].map((a) => a * (baseSize / strideSize / size2)); - const [x, y6] = [ + const [x, y5] = [ cx2 - scaleBox / strideSize * boxOffset[0], - cy - scaleBox / strideSize * boxOffset[1] + cy2 - scaleBox / strideSize * boxOffset[1] ]; const [w, h] = [ cx2 + scaleBox / strideSize * boxOffset[2] - x, - cy + scaleBox / strideSize * boxOffset[3] - y6 + cy2 + scaleBox / strideSize * boxOffset[3] - y5 ]; - let boxRaw = [x, y6, w, h]; + let boxRaw = [x, y5, w, h]; boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))); const box = [ // results normalized to input image pixels @@ -44433,8 +46527,8 @@ async function process4(res, outputShape, config3) { id: id2++, // strideSize, score: Math.round(100 * score) / 100, - class: j10 + 1, - label: labels2[j10].label, + class: j + 1, + label: labels2[j].label, // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)], // centerRaw: [cx, cy], box: box.map((a) => Math.trunc(a)), @@ -44450,7 +46544,7 @@ async function process4(res, outputShape, config3) { const nmsScores = results.map((a) => a.score); let nmsIdx = []; if (nmsBoxes && nmsBoxes.length > 0) { - const nms = await eK.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); + const nms = await uj.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); nmsIdx = Array.from(await nms.data()); Ot(nms); } @@ -44471,9 +46565,9 @@ async function predict18(image, config3) { return last10; return new Promise(async (resolve) => { const outputSize2 = [image.shape[2] || 0, image.shape[1] || 0]; - const resizeT = eK.resizeBilinear(image, [inputSize9, inputSize9], false); - const normT = He(resizeT, constants.tf255); - const transposeT = Gp(normT, [0, 3, 1, 2]); + const resizeT = uj.resizeBilinear(image, [inputSize9, inputSize9], false); + const normT = Ke(resizeT, constants.tf255); + const transposeT = dc(normT, [0, 3, 1, 2]); let objectT; if (config3.object.enabled) objectT = model19.execute(transposeT); @@ -44544,11 +46638,11 @@ var poseChain = [ ["rightKnee", "rightAnkle"] ]; function getBoundingBox(keypoints) { - const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y: y6 } }) => ({ + const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y: y5 } }) => ({ maxX: Math.max(maxX, x), - maxY: Math.max(maxY, y6), + maxY: Math.max(maxY, y5), minX: Math.min(minX, x), - minY: Math.min(minY, y6) + minY: Math.min(minY, y5) }), { maxX: Number.NEGATIVE_INFINITY, maxY: Number.NEGATIVE_INFINITY, @@ -44618,39 +46712,39 @@ var MaxHeap = class { } sink(k) { while (2 * k <= this.numberOfElements) { - let j10 = 2 * k; - if (j10 < this.numberOfElements && this.less(j10, j10 + 1)) - j10++; - if (!this.less(k, j10)) + let j = 2 * k; + if (j < this.numberOfElements && this.less(j, j + 1)) + j++; + if (!this.less(k, j)) break; - this.exchange(k, j10); - k = j10; + this.exchange(k, j); + k = j; } } getValueAt(i) { return this.getElementValue(this.priorityQueue[i]); } - less(i, j10) { - return this.getValueAt(i) < this.getValueAt(j10); + less(i, j) { + return this.getValueAt(i) < this.getValueAt(j); } - exchange(i, j10) { + exchange(i, j) { const t10 = this.priorityQueue[i]; - this.priorityQueue[i] = this.priorityQueue[j10]; - this.priorityQueue[j10] = t10; + this.priorityQueue[i] = this.priorityQueue[j]; + this.priorityQueue[j] = t10; } }; -function getOffsetPoint(y6, x, keypoint, offsets) { +function getOffsetPoint(y5, x, keypoint, offsets) { return { - y: offsets.get(y6, x, keypoint), - x: offsets.get(y6, x, keypoint + count) + y: offsets.get(y5, x, keypoint), + x: offsets.get(y5, x, keypoint + count) }; } function getImageCoords(part, outputStride2, offsets) { const { heatmapY, heatmapX, id: keypoint } = part; - const { y: y6, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); + const { y: y5, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); return { x: part.heatmapX * outputStride2 + x, - y: part.heatmapY * outputStride2 + y6 + y: part.heatmapY * outputStride2 + y5 }; } function clamp(a, min, max) { @@ -44771,13 +46865,13 @@ function buildPartWithScoreQueue(minConfidence2, scores) { } return queue; } -function withinRadius(poses, { x, y: y6 }, keypointId) { +function withinRadius(poses, { x, y: y5 }, keypointId) { return poses.some(({ keypoints }) => { var _a2; const correspondingKeypoint = (_a2 = keypoints[keypointId]) == null ? void 0 : _a2.position; if (!correspondingKeypoint) return false; - return squaredDistance(y6, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; + return squaredDistance(y5, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; }); } function getInstanceScore(existingPoses, keypoints) { @@ -44808,14 +46902,14 @@ function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected async function predict19(input, config3) { if (!(model20 == null ? void 0 : model20["executor"])) return []; - const res = Ee(() => { + const res = De(() => { if (!model20.inputs[0].shape) return []; - const resized = eK.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); - const normalized = ke(He(je(resized, "float32"), 127.5), 1); + const resized = uj.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + const normalized = Te(Ke(Ye(resized, "float32"), 127.5), 1); const results = model20.execute(normalized, poseNetOutputs); - const results3d = results.map((y6) => Up(y6, [0])); - results3d[1] = Ws(results3d[1]); + const results3d = results.map((y5) => lc(y5, [0])); + results3d[1] = wa(results3d[1]); return results3d; }); const buffers = await Promise.all(res.map((tensor) => tensor.buffer())); @@ -44842,12 +46936,12 @@ var t = {}; var ratio = 0; function init3(config3) { Ot([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]); - t.r1i = nr(0); - t.r2i = nr(0); - t.r3i = nr(0); - t.r4i = nr(0); + t.r1i = ir(0); + t.r2i = ir(0); + t.r3i = ir(0); + t.r4i = ir(0); ratio = config3.segmentation.ratio || 0.5; - t.downsample_ratio = nr(ratio); + t.downsample_ratio = ir(ratio); } async function load20(config3) { if (!model21 || env.initial) @@ -44857,34 +46951,34 @@ async function load20(config3) { init3(config3); return model21; } -var normalize = (r) => Ee(() => { - const squeeze = Up(r, [0]); - const mul = ne(squeeze, constants.tf255); - const cast = je(mul, "int32"); +var normalize = (r) => De(() => { + const squeeze = lc(r, [0]); + const mul = se(squeeze, constants.tf255); + const cast = Ye(mul, "int32"); return cast; }); function getRGBA(fgr, pha) { - const rgb3 = fgr ? normalize(fgr) : Us([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); - const a = pha ? normalize(pha) : Us([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); - const rgba = xt([rgb3, a], -1); + const rgb3 = fgr ? normalize(fgr) : Sa([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); + const a = pha ? normalize(pha) : Sa([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); + const rgba = yt([rgb3, a], -1); Ot([rgb3, a]); return rgba; } function getState(state) { - return Ee(() => { + return De(() => { const r = {}; - r.unstack = so(state, -1); - r.concat = xt(r.unstack, 1); - r.split = Oa(r.concat, 4, 1); - r.stack = xt(r.split, 2); - r.squeeze = Up(r.stack, [0]); - r.expand = Ra(r.squeeze, -1); + r.unstack = po(state, -1); + r.concat = yt(r.unstack, 1); + r.split = ai(r.concat, 4, 1); + r.stack = yt(r.split, 2); + r.squeeze = lc(r.stack, [0]); + r.expand = oi(r.squeeze, -1); r.add = be(r.expand, 1); - r.mul = ne(r.add, 127.5); - r.cast = je(r.mul, "int32"); - r.tile = Ai(r.cast, [1, 1, 3]); - r.alpha = Us([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); - return xt([r.tile, r.alpha], -1); + r.mul = se(r.add, 127.5); + r.cast = Ye(r.mul, "int32"); + r.tile = nu(r.cast, [1, 1, 3]); + r.alpha = Sa([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); + return yt([r.tile, r.alpha], -1); }); } async function predict20(input, config3) { @@ -44892,7 +46986,7 @@ async function predict20(input, config3) { model21 = await load20(config3); if (!(model21 == null ? void 0 : model21["executor"])) return null; - t.src = He(input, 255); + t.src = Ke(input, 255); if (ratio !== config3.segmentation.ratio) init3(config3); const [fgr, pha, r1o, r2o, r3o, r4o] = await model21.executeAsync(t, outputNodes2); @@ -44911,7 +47005,7 @@ async function predict20(input, config3) { rgba = getState(r1o); break; default: - rgba = nr(0); + rgba = ir(0); } Ot([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]); [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; @@ -44934,24 +47028,24 @@ async function predict21(input, config3) { if (!(model22 == null ? void 0 : model22["executor"]) || !((_a2 = model22 == null ? void 0 : model22.inputs) == null ? void 0 : _a2[0].shape)) return null; const t10 = {}; - t10.resize = eK.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); - t10.norm = He(t10.resize, constants.tf255); + t10.resize = uj.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); + t10.norm = Ke(t10.resize, constants.tf255); t10.res = model22.execute(t10.norm); - t10.squeeze = Up(t10.res, [0]); - t10.alpha = eK.resizeBilinear(t10.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); - t10.mul = ne(t10.alpha, constants.tf255); + t10.squeeze = lc(t10.res, [0]); + t10.alpha = uj.resizeBilinear(t10.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); + t10.mul = se(t10.alpha, constants.tf255); let rgba; switch (config3.segmentation.mode || "default") { case "default": - t10.input = Up(input); - t10.concat = xt([t10.input, t10.mul], -1); - rgba = je(t10.concat, "int32"); + t10.input = lc(input); + t10.concat = yt([t10.input, t10.mul], -1); + rgba = Ye(t10.concat, "int32"); break; case "alpha": - rgba = je(t10.mul, "int32"); + rgba = Ye(t10.mul, "int32"); break; default: - rgba = nr(0); + rgba = ir(0); } Object.keys(t10).forEach((tensor) => Ot(t10[tensor])); return rgba; @@ -44959,7 +47053,7 @@ async function predict21(input, config3) { // src/models.ts function validateModel(instance, model23, name) { - var _a2, _b2; + var _a2, _b; if (!model23) return null; if (!((_a2 = instance == null ? void 0 : instance.config) == null ? void 0 : _a2.validateModels)) @@ -44970,20 +47064,20 @@ function validateModel(instance, model23, name) { const missing = []; const url = model23["modelUrl"]; const executor = model23["executor"]; - if ((_b2 = executor == null ? void 0 : executor.graph) == null ? void 0 : _b2.nodes) { + if ((_b = executor == null ? void 0 : executor.graph) == null ? void 0 : _b.nodes) { for (const kernel of Object.values(executor.graph.nodes)) { - const op = kernel.op.toLowerCase(); - if (!ops.includes(op)) - ops.push(op); + const op2 = kernel.op.toLowerCase(); + if (!ops.includes(op2)) + ops.push(op2); } } else { if (!executor && instance.config.debug) { log("model not loaded", name); } } - for (const op of ops) { - if (!simpleOps.includes(op) && !ignoreOps.includes(op) && !instance.env.kernels.includes(op) && !instance.env.kernels.includes(op.replace("_", "")) && !instance.env.kernels.includes(op.replace("native", "")) && !instance.env.kernels.includes(op.replace("v2", ""))) { - missing.push(op); + for (const op2 of ops) { + if (!simpleOps.includes(op2) && !ignoreOps.includes(op2) && !instance.env.kernels.includes(op2) && !instance.env.kernels.includes(op2.replace("_", "")) && !instance.env.kernels.includes(op2.replace("native", "")) && !instance.env.kernels.includes(op2.replace("v2", ""))) { + missing.push(op2); } } if (instance.config.debug && missing.length > 0) @@ -45022,7 +47116,7 @@ var Models = class { this.models[model23] = null; } async load(instance) { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k, _l2, _m2, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w2, _x2, _y, _z2, _A2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k2, _l2, _m, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2, _v2, _w, _x2, _y, _z2, _A2; if (env.initial) this.reset(); if (instance) @@ -45030,7 +47124,7 @@ var Models = class { const m = {}; m.blazeface = this.instance.config.face.enabled && !this.models.blazeface ? load3(this.instance.config) : null; m.antispoof = this.instance.config.face.enabled && ((_a2 = this.instance.config.face.antispoof) == null ? void 0 : _a2.enabled) && !this.models.antispoof ? load8(this.instance.config) : null; - m.liveness = this.instance.config.face.enabled && ((_b2 = this.instance.config.face.liveness) == null ? void 0 : _b2.enabled) && !this.models.liveness ? load9(this.instance.config) : null; + m.liveness = this.instance.config.face.enabled && ((_b = this.instance.config.face.liveness) == null ? void 0 : _b.enabled) && !this.models.liveness ? load9(this.instance.config) : null; m.faceres = this.instance.config.face.enabled && ((_c2 = this.instance.config.face.description) == null ? void 0 : _c2.enabled) && !this.models.faceres ? load7(this.instance.config) : null; m.emotion = this.instance.config.face.enabled && ((_d2 = this.instance.config.face.emotion) == null ? void 0 : _d2.enabled) && !this.models.emotion ? load6(this.instance.config) : null; m.iris = this.instance.config.face.enabled && ((_e = this.instance.config.face.iris) == null ? void 0 : _e.enabled) && !((_f2 = this.instance.config.face.attention) == null ? void 0 : _f2.enabled) && !this.models.iris ? load4(this.instance.config) : null; @@ -45038,9 +47132,9 @@ var Models = class { m.gear = this.instance.config.face.enabled && ((_h2 = this.instance.config.face["gear"]) == null ? void 0 : _h2.enabled) && !this.models.gear ? load10(this.instance.config) : null; m.ssrnetage = this.instance.config.face.enabled && ((_i2 = this.instance.config.face["ssrnet"]) == null ? void 0 : _i2.enabled) && !this.models.ssrnetage ? load11(this.instance.config) : null; m.ssrnetgender = this.instance.config.face.enabled && ((_j2 = this.instance.config.face["ssrnet"]) == null ? void 0 : _j2.enabled) && !this.models.ssrnetgender ? load12(this.instance.config) : null; - m.mobilefacenet = this.instance.config.face.enabled && ((_k = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; + m.mobilefacenet = this.instance.config.face.enabled && ((_k2 = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k2.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; m.insightface = this.instance.config.face.enabled && ((_l2 = this.instance.config.face["insightface"]) == null ? void 0 : _l2.enabled) && !this.models.insightface ? load14(this.instance.config) : null; - m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m2 = this.instance.config.body.modelPath) == null ? void 0 : _m2.includes("blazepose")) ? loadPose(this.instance.config) : null; + m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m = this.instance.config.body.modelPath) == null ? void 0 : _m.includes("blazepose")) ? loadPose(this.instance.config) : null; m.blazeposedetect = this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body["detector"] && this.instance.config.body["detector"].modelPath ? loadDetect(this.instance.config) : null; m.efficientpose = this.instance.config.body.enabled && !this.models.efficientpose && ((_n2 = this.instance.config.body.modelPath) == null ? void 0 : _n2.includes("efficientpose")) ? load2(this.instance.config) : null; m.movenet = this.instance.config.body.enabled && !this.models.movenet && ((_o2 = this.instance.config.body.modelPath) == null ? void 0 : _o2.includes("movenet")) ? load17(this.instance.config) : null; @@ -45049,7 +47143,7 @@ var Models = class { m.handskeleton = this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && ((_t = (_s2 = this.instance.config.hand.detector) == null ? void 0 : _s2.modelPath) == null ? void 0 : _t.includes("handtrack")) ? loadSkeleton(this.instance.config) : null; if ((_v2 = (_u2 = this.instance.config.hand.detector) == null ? void 0 : _u2.modelPath) == null ? void 0 : _v2.includes("handdetect")) [m.handpose, m.handskeleton] = !this.models.handpose ? await load15(this.instance.config) : [null, null]; - m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w2 = this.instance.config.object.modelPath) == null ? void 0 : _w2.includes("centernet")) ? load(this.instance.config) : null; + m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w = this.instance.config.object.modelPath) == null ? void 0 : _w.includes("centernet")) ? load(this.instance.config) : null; m.nanodet = this.instance.config.object.enabled && !this.models.nanodet && ((_x2 = this.instance.config.object.modelPath) == null ? void 0 : _x2.includes("nanodet")) ? load18(this.instance.config) : null; m.selfie = this.instance.config.segmentation.enabled && !this.models.selfie && ((_y = this.instance.config.segmentation.modelPath) == null ? void 0 : _y.includes("selfie")) ? load21(this.instance.config) : null; m.meet = this.instance.config.segmentation.enabled && !this.models.meet && ((_z2 = this.instance.config.segmentation.modelPath) == null ? void 0 : _z2.includes("meet")) ? load16(this.instance.config) : null; @@ -45095,7 +47189,7 @@ var Models = class { // src/util/persons.ts function join2(faces, bodies, hands, gestures, shape) { - var _a2, _b2, _c2, _d2, _e, _f2; + var _a2, _b, _c2, _d2, _e, _f2; let id2 = 0; const persons = []; for (const face4 of faces) { @@ -45124,17 +47218,17 @@ function join2(faces, bodies, hands, gestures, shape) { person2.gestures.push(gesture2); else if (gesture2["body"] !== void 0 && gesture2["body"] === ((_a2 = person2.body) == null ? void 0 : _a2.id)) person2.gestures.push(gesture2); - else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b2 = person2.hands.left) == null ? void 0 : _b2.id)) + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b = person2.hands.left) == null ? void 0 : _b.id)) person2.gestures.push(gesture2); else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_c2 = person2.hands.right) == null ? void 0 : _c2.id)) person2.gestures.push(gesture2); } const x = []; - const y6 = []; + const y5 = []; const extractXY = (box) => { if (box && box.length === 4) { x.push(box[0], box[0] + box[2]); - y6.push(box[1], box[1] + box[3]); + y5.push(box[1], box[1] + box[3]); } }; extractXY(person2.face.box); @@ -45142,8 +47236,8 @@ function join2(faces, bodies, hands, gestures, shape) { extractXY((_e = person2.hands.left) == null ? void 0 : _e.box); extractXY((_f2 = person2.hands.right) == null ? void 0 : _f2.box); const minX = Math.min(...x); - const minY = Math.min(...y6); - person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y6) - minY]; + const minY = Math.min(...y5); + person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y5) - minY]; if ((shape == null ? void 0 : shape[1]) && (shape == null ? void 0 : shape[2])) person2.boxRaw = [person2.box[0] / shape[2], person2.box[1] / shape[1], person2.box[2] / shape[2], person2.box[3] / shape[1]]; persons.push(person2); @@ -45948,9 +48042,9 @@ async function warmupNode(instance) { else img = atob2(body3); let res; - if ("node" in tfjs_esm_exports && Rie() === "tensorflow") { + if ("node" in tfjs_esm_exports && Ime() === "tensorflow") { const data = (void 0).decodeJpeg(img); - const expanded = Ra(data, 0); + const expanded = oi(data, 0); instance.tf.dispose(data); res = await instance.detect(expanded, instance.config); instance.tf.dispose(expanded); @@ -45971,27 +48065,27 @@ async function runInference(instance) { return res; } async function runCompile(instance) { - var _a2, _b2, _c2, _d2; - if (!O().flagRegistry.ENGINE_COMPILE_ONLY) + var _a2, _b, _c2, _d2; + if (!P().flagRegistry.ENGINE_COMPILE_ONLY) return; - const backendType = Rie(); - const webGLBackend = Pie(); + const backendType = Ime(); + const webGLBackend = Tme(); if (backendType !== "webgl" && backendType !== "humangl" || !(webGLBackend == null ? void 0 : webGLBackend["checkCompileCompletion"])) { return; } - O().set("ENGINE_COMPILE_ONLY", true); - const numTensorsStart = sr().state.numTensors; + P().set("ENGINE_COMPILE_ONLY", true); + const numTensorsStart = ur().state.numTensors; const compiledModels = []; for (const [modelName, model23] of Object.entries(instance.models.models)) { if (!model23) continue; - const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b2 = (_a2 = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a2[0]) == null ? void 0 : _b2.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; + const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b = (_a2 = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a2[0]) == null ? void 0 : _b.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; const dtype = (model23 == null ? void 0 : model23.modelSignature) && ((_d2 = (_c2 = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _c2[0]) == null ? void 0 : _d2.dtype) ? model23.inputs[0].dtype : "float32"; for (let dim = 0; dim < shape.length; dim++) { if (shape[dim] === -1) shape[dim] = dim === 0 ? 1 : 64; } - const tensor = Br(shape, dtype); + const tensor = Wr(shape, dtype); try { const res = model23.execute(tensor); compiledModels.push(modelName); @@ -46009,8 +48103,8 @@ async function runCompile(instance) { webGLBackend["getUniformLocations"](); if (instance.config.debug) log("compile pass:", { models: compiledModels, kernels: kernels.length }); - O().set("ENGINE_COMPILE_ONLY", false); - const numTensorsEnd = sr().state.numTensors; + P().set("ENGINE_COMPILE_ONLY", false); + const numTensorsEnd = ur().state.numTensors; if (numTensorsEnd - numTensorsStart > 0) log("tensor leak:", numTensorsEnd - numTensorsStart); } @@ -46122,7 +48216,7 @@ var Human = class { return null; if (!input) return "input is not defined"; - if (this.env.node && !(input instanceof it)) + if (this.env.node && !(input instanceof pt)) return "input must be a tensor"; try { this.tf.getBackend(); @@ -46143,7 +48237,7 @@ var Human = class { }); /** internal structure that keeps track of processed videos @hidden */ __privateAdd(this, _loops, {}); - const tfVersion = (tse.tfjs || RK).replace(/-(.*)/, ""); + const tfVersion = (zpe.tfjs || Vj).replace(/-(.*)/, ""); config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`; config.modelBasePath = env.browser ? "../models/" : "file://models/"; this.version = version; @@ -46215,7 +48309,7 @@ var Human = class { * Returns tensor which contains image data in RGBA format */ async segmentation(input, userConfig) { - var _a2, _b2, _c2; + var _a2, _b, _c2; if (userConfig) this.config = mergeDeep(this.config, userConfig); if (!this.config.segmentation.enabled) @@ -46226,7 +48320,7 @@ var Human = class { let tensor = null; if ((_a2 = this.config.segmentation.modelPath) == null ? void 0 : _a2.includes("rvm")) tensor = await predict20(processed.tensor, this.config); - if ((_b2 = this.config.segmentation.modelPath) == null ? void 0 : _b2.includes("meet")) + if ((_b = this.config.segmentation.modelPath) == null ? void 0 : _b.includes("meet")) tensor = await predict16(processed.tensor, this.config); if ((_c2 = this.config.segmentation.modelPath) == null ? void 0 : _c2.includes("selfie")) tensor = await predict21(processed.tensor, this.config); @@ -46267,7 +48361,7 @@ var Human = class { if (this.env.initial) { if (!await check(this, false)) log("error: backend check failed"); - await Aie(); + await Sme(); if (this.env.browser) { if (this.config.debug) log("configuration:", this.config); @@ -46349,7 +48443,7 @@ var Human = class { async detect(input, userConfig) { this.state = "detect"; return new Promise(async (resolve) => { - var _a2, _b2, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k, _l2, _m2, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2; + var _a2, _b, _c2, _d2, _e, _f2, _g2, _h2, _i2, _j2, _k2, _l2, _m, _n2, _o2, _p2, _q2, _r2, _s2, _t, _u2; this.state = "config"; let timeStamp; this.config = mergeDeep(this.config, userConfig); @@ -46410,7 +48504,7 @@ var Human = class { if (this.config.async) { if ((_a2 = this.config.body.modelPath) == null ? void 0 : _a2.includes("posenet")) bodyRes = this.config.body.enabled ? predict19(img.tensor, bodyConfig) : []; - else if ((_b2 = this.config.body.modelPath) == null ? void 0 : _b2.includes("blazepose")) + else if ((_b = this.config.body.modelPath) == null ? void 0 : _b.includes("blazepose")) bodyRes = this.config.body.enabled ? predict(img.tensor, bodyConfig) : []; else if ((_c2 = this.config.body.modelPath) == null ? void 0 : _c2.includes("efficientpose")) bodyRes = this.config.body.enabled ? predict3(img.tensor, bodyConfig) : []; @@ -46437,13 +48531,13 @@ var Human = class { if (this.config.async) { if ((_j2 = (_i2 = this.config.hand.detector) == null ? void 0 : _i2.modelPath) == null ? void 0 : _j2.includes("handdetect")) handRes = this.config.hand.enabled ? predict14(img.tensor, handConfig) : []; - else if ((_l2 = (_k = this.config.hand.detector) == null ? void 0 : _k.modelPath) == null ? void 0 : _l2.includes("handtrack")) + else if ((_l2 = (_k2 = this.config.hand.detector) == null ? void 0 : _k2.modelPath) == null ? void 0 : _l2.includes("handtrack")) handRes = this.config.hand.enabled ? predict15(img.tensor, handConfig) : []; if (this.performance.hand) delete this.performance.hand; } else { timeStamp = now(); - if ((_n2 = (_m2 = this.config.hand.detector) == null ? void 0 : _m2.modelPath) == null ? void 0 : _n2.includes("handdetect")) + if ((_n2 = (_m = this.config.hand.detector) == null ? void 0 : _m.modelPath) == null ? void 0 : _n2.includes("handdetect")) handRes = this.config.hand.enabled ? await predict14(img.tensor, handConfig) : []; else if ((_p2 = (_o2 = this.config.hand.detector) == null ? void 0 : _o2.modelPath) == null ? void 0 : _p2.includes("handtrack")) handRes = this.config.hand.enabled ? await predict15(img.tensor, handConfig) : []; diff --git a/dist/human.esm.js.map b/dist/human.esm.js.map index ac0b373a..b7fe632d 100644 --- a/dist/human.esm.js.map +++ b/dist/human.esm.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["tfjs.esm.js", "../src/util/util.ts", "../src/config.ts", "../src/image/imagefxshaders.ts", "../src/image/imagefx.ts", "../src/image/enhance.ts", "../src/image/image.ts", "../src/util/env.ts", "../src/util/webcam.ts", "../models/models.json", "../src/tfjs/load.ts", "../package.json", "../src/tfjs/humangl.ts", "../src/tfjs/constants.ts", "../src/tfjs/backend.ts", "../src/draw/draw.ts", "../src/draw/primitives.ts", "../src/draw/options.ts", "../src/face/facemeshcoords.ts", "../src/face/constants.ts", "../src/draw/face.ts", "../src/draw/body.ts", "../src/draw/hand.ts", "../src/draw/object.ts", "../src/draw/gesture.ts", "../src/draw/labels.ts", "../src/body/blazeposecoords.ts", "../src/body/blazeposedetector.ts", "../src/util/box.ts", "../src/body/blazepose.ts", "../src/object/labels.ts", "../src/object/centernet.ts", "../src/body/efficientposecoords.ts", "../src/body/efficientpose.ts", "../src/face/facemeshutil.ts", "../src/face/blazeface.ts", "../src/face/iris.ts", "../src/face/attention.ts", "../src/face/facemesh.ts", "../src/gear/emotion.ts", "../src/face/faceres.ts", "../src/face/mask.ts", "../src/face/antispoof.ts", "../src/face/liveness.ts", "../src/gear/gear.ts", "../src/gear/ssrnet-age.ts", "../src/gear/ssrnet-gender.ts", "../src/face/mobilefacenet.ts", "../src/face/insightface.ts", "../src/face/angles.ts", "../src/face/anthropometry.ts", "../src/face/face.ts", "../src/hand/fingerdef.ts", "../src/hand/fingergesture.ts", "../src/hand/fingerpose.ts", "../src/gesture/gesture.ts", "../src/hand/handposeutil.ts", "../src/hand/handposeanchors.ts", "../src/hand/handposedetector.ts", "../src/hand/handposepipeline.ts", "../src/hand/handpose.ts", "../src/hand/handtrack.ts", "../src/result.ts", "../src/body/movenetcoords.ts", "../src/util/interpolate.ts", "../src/segmentation/meet.ts", "../src/face/match.ts", "../src/models.ts", "../src/body/movenetfix.ts", "../src/body/movenet.ts", "../src/object/nanodet.ts", "../src/body/posenetutils.ts", "../src/body/posenet.ts", "../src/segmentation/rvm.ts", "../src/segmentation/selfie.ts", "../src/util/persons.ts", "../src/sample.ts", "../src/warmup.ts", "../src/human.ts"], - "sourcesContent": ["/*\n Human\n homepage: \n author: '\n*/\n\nvar PV=Object.create;var yb=Object.defineProperty;var MV=Object.getOwnPropertyDescriptor;var LV=Object.getOwnPropertyNames;var BV=Object.getPrototypeOf,VV=Object.prototype.hasOwnProperty;var Kt=(r,e)=>()=>(e||r((e={exports:{}}).exports,e),e.exports),Ge=(r,e)=>{for(var t in e)yb(r,t,{get:e[t],enumerable:!0})},zV=(r,e,t,o)=>{if(e&&typeof e==\"object\"||typeof e==\"function\")for(let n of LV(e))!VV.call(r,n)&&n!==t&&yb(r,n,{get:()=>e[n],enumerable:!(o=MV(e,n))||o.enumerable});return r};var ap=(r,e,t)=>(t=r!=null?PV(BV(r)):{},zV(e||!r||!r.__esModule?yb(t,\"default\",{value:r,enumerable:!0}):t,r));var i0=Kt((Sse,a0)=>{a0.exports=It;var yo=null;try{yo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function It(r,e,t){this.low=r|0,this.high=e|0,this.unsigned=!!t}It.prototype.__isLong__;Object.defineProperty(It.prototype,\"__isLong__\",{value:!0});function Mr(r){return(r&&r.__isLong__)===!0}It.isLong=Mr;var QI={},ZI={};function eu(r,e){var t,o,n;return e?(r>>>=0,(n=0<=r&&r<256)&&(o=ZI[r],o)?o:(t=vt(r,(r|0)<0?-1:0,!0),n&&(ZI[r]=t),t)):(r|=0,(n=-128<=r&&r<128)&&(o=QI[r],o)?o:(t=vt(r,r<0?-1:0,!1),n&&(QI[r]=t),t))}It.fromInt=eu;function bo(r,e){if(isNaN(r))return e?Ji:Co;if(e){if(r<0)return Ji;if(r>=r0)return s0}else{if(r<=-e0)return Pr;if(r+1>=e0)return n0}return r<0?bo(-r,e).neg():vt(r%Ep|0,r/Ep|0,e)}It.fromNumber=bo;function vt(r,e,t){return new It(r,e,t)}It.fromBits=vt;var Dm=Math.pow;function Db(r,e,t){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return Co;if(typeof e==\"number\"?(t=e,e=!1):e=!!e,t=t||10,t<2||360)throw Error(\"interior hyphen\");if(o===0)return Db(r.substring(1),e,t).neg();for(var n=bo(Dm(t,8)),s=Co,a=0;a>>0:this.low};de.toNumber=function(){return this.unsigned?(this.high>>>0)*Ep+(this.low>>>0):this.high*Ep+(this.low>>>0)};de.toString=function(e){if(e=e||10,e<2||36>>0,c=u.toString(e);if(a=p,a.isZero())return c+i;for(;c.length<6;)c=\"0\"+c;i=\"\"+c+i}};de.getHighBits=function(){return this.high};de.getHighBitsUnsigned=function(){return this.high>>>0};de.getLowBits=function(){return this.low};de.getLowBitsUnsigned=function(){return this.low>>>0};de.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Pr)?64:this.neg().getNumBitsAbs();for(var e=this.high!=0?this.high:this.low,t=31;t>0&&!(e&1<=0};de.isOdd=function(){return(this.low&1)===1};de.isEven=function(){return(this.low&1)===0};de.equals=function(e){return Mr(e)||(e=rs(e)),this.unsigned!==e.unsigned&&this.high>>>31===1&&e.high>>>31===1?!1:this.high===e.high&&this.low===e.low};de.eq=de.equals;de.notEquals=function(e){return!this.eq(e)};de.neq=de.notEquals;de.ne=de.notEquals;de.lessThan=function(e){return this.comp(e)<0};de.lt=de.lessThan;de.lessThanOrEqual=function(e){return this.comp(e)<=0};de.lte=de.lessThanOrEqual;de.le=de.lessThanOrEqual;de.greaterThan=function(e){return this.comp(e)>0};de.gt=de.greaterThan;de.greaterThanOrEqual=function(e){return this.comp(e)>=0};de.gte=de.greaterThanOrEqual;de.ge=de.greaterThanOrEqual;de.compare=function(e){if(Mr(e)||(e=rs(e)),this.eq(e))return 0;var t=this.isNegative(),o=e.isNegative();return t&&!o?-1:!t&&o?1:this.unsigned?e.high>>>0>this.high>>>0||e.high===this.high&&e.low>>>0>this.low>>>0?-1:1:this.sub(e).isNegative()?-1:1};de.comp=de.compare;de.negate=function(){return!this.unsigned&&this.eq(Pr)?Pr:this.not().add($p)};de.neg=de.negate;de.add=function(e){Mr(e)||(e=rs(e));var t=this.high>>>16,o=this.high&65535,n=this.low>>>16,s=this.low&65535,a=e.high>>>16,i=e.high&65535,p=e.low>>>16,u=e.low&65535,c=0,l=0,m=0,d=0;return d+=s+u,m+=d>>>16,d&=65535,m+=n+p,l+=m>>>16,m&=65535,l+=o+i,c+=l>>>16,l&=65535,c+=t+a,c&=65535,vt(m<<16|d,c<<16|l,this.unsigned)};de.subtract=function(e){return Mr(e)||(e=rs(e)),this.add(e.neg())};de.sub=de.subtract;de.multiply=function(e){if(this.isZero())return Co;if(Mr(e)||(e=rs(e)),yo){var t=yo.mul(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}if(e.isZero())return Co;if(this.eq(Pr))return e.isOdd()?Pr:Co;if(e.eq(Pr))return this.isOdd()?Pr:Co;if(this.isNegative())return e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(t0)&&e.lt(t0))return bo(this.toNumber()*e.toNumber(),this.unsigned);var o=this.high>>>16,n=this.high&65535,s=this.low>>>16,a=this.low&65535,i=e.high>>>16,p=e.high&65535,u=e.low>>>16,c=e.low&65535,l=0,m=0,d=0,f=0;return f+=a*c,d+=f>>>16,f&=65535,d+=s*c,m+=d>>>16,d&=65535,d+=a*u,m+=d>>>16,d&=65535,m+=n*c,l+=m>>>16,m&=65535,m+=s*u,l+=m>>>16,m&=65535,m+=a*p,l+=m>>>16,m&=65535,l+=o*c+n*u+s*p+a*i,l&=65535,vt(d<<16|f,l<<16|m,this.unsigned)};de.mul=de.multiply;de.divide=function(e){if(Mr(e)||(e=rs(e)),e.isZero())throw Error(\"division by zero\");if(yo){if(!this.unsigned&&this.high===-2147483648&&e.low===-1&&e.high===-1)return this;var t=(this.unsigned?yo.div_u:yo.div_s)(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ji:Co;var o,n,s;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return Ji;if(e.gt(this.shru(1)))return o0;s=Ji}else{if(this.eq(Pr)){if(e.eq($p)||e.eq(Rb))return Pr;if(e.eq(Pr))return $p;var a=this.shr(1);return o=a.div(e).shl(1),o.eq(Co)?e.isNegative()?$p:Rb:(n=this.sub(e.mul(o)),s=o.add(n.div(e)),s)}else if(e.eq(Pr))return this.unsigned?Ji:Co;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();s=Co}for(n=this;n.gte(e);){o=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var i=Math.ceil(Math.log(o)/Math.LN2),p=i<=48?1:Dm(2,i-48),u=bo(o),c=u.mul(e);c.isNegative()||c.gt(n);)o-=p,u=bo(o,this.unsigned),c=u.mul(e);u.isZero()&&(u=$p),s=s.add(u),n=n.sub(c)}return s};de.div=de.divide;de.modulo=function(e){if(Mr(e)||(e=rs(e)),yo){var t=(this.unsigned?yo.rem_u:yo.rem_s)(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}return this.sub(this.div(e).mul(e))};de.mod=de.modulo;de.rem=de.modulo;de.not=function(){return vt(~this.low,~this.high,this.unsigned)};de.and=function(e){return Mr(e)||(e=rs(e)),vt(this.low&e.low,this.high&e.high,this.unsigned)};de.or=function(e){return Mr(e)||(e=rs(e)),vt(this.low|e.low,this.high|e.high,this.unsigned)};de.xor=function(e){return Mr(e)||(e=rs(e)),vt(this.low^e.low,this.high^e.high,this.unsigned)};de.shiftLeft=function(e){return Mr(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?vt(this.low<>>32-e,this.unsigned):vt(0,this.low<>>e|this.high<<32-e,this.high>>e,this.unsigned):vt(this.high>>e-32,this.high>=0?0:-1,this.unsigned)};de.shr=de.shiftRight;de.shiftRightUnsigned=function(e){if(Mr(e)&&(e=e.toInt()),e&=63,e===0)return this;var t=this.high;if(e<32){var o=this.low;return vt(o>>>e|t<<32-e,t>>>e,this.unsigned)}else return e===32?vt(t,0,this.unsigned):vt(t>>>e-32,0,this.unsigned)};de.shru=de.shiftRightUnsigned;de.shr_u=de.shiftRightUnsigned;de.toSigned=function(){return this.unsigned?vt(this.low,this.high,!1):this};de.toUnsigned=function(){return this.unsigned?this:vt(this.low,this.high,!0)};de.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()};de.toBytesLE=function(){var e=this.high,t=this.low;return[t&255,t>>>8&255,t>>>16&255,t>>>24,e&255,e>>>8&255,e>>>16&255,e>>>24]};de.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,e&255,t>>>24,t>>>16&255,t>>>8&255,t&255]};It.fromBytes=function(e,t,o){return o?It.fromBytesLE(e,t):It.fromBytesBE(e,t)};It.fromBytesLE=function(e,t){return new It(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)};It.fromBytesBE=function(e,t){return new It(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)}});var W0=Kt(()=>{});var U0=Kt(()=>{});var gk=Kt((hk,cC)=>{(function(r,e,t){function o(i){var p=this,u=a();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=u(\" \"),p.s1=u(\" \"),p.s2=u(\" \"),p.s0-=u(i),p.s0<0&&(p.s0+=1),p.s1-=u(i),p.s1<0&&(p.s1+=1),p.s2-=u(i),p.s2<0&&(p.s2+=1),u=null}function n(i,p){return p.c=i.c,p.s0=i.s0,p.s1=i.s1,p.s2=i.s2,p}function s(i,p){var u=new o(i),c=p&&p.state,l=u.next;return l.int32=function(){return u.next()*4294967296|0},l.double=function(){return l()+(l()*2097152|0)*11102230246251565e-32},l.quick=l,c&&(typeof c==\"object\"&&n(c,u),l.state=function(){return n(u,{})}),l}function a(){var i=4022871197,p=function(u){u=String(u);for(var c=0;c>>0,l-=i,l*=i,i=l>>>0,l-=i,i+=l*4294967296}return(i>>>0)*23283064365386963e-26};return p}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.alea=s})(hk,typeof cC==\"object\"&&cC,typeof define==\"function\"&&define)});var yk=Kt((xk,lC)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.x=0,i.y=0,i.z=0,i.w=0,i.next=function(){var c=i.x^i.x<<11;return i.x=i.y,i.y=i.z,i.z=i.w,i.w^=i.w>>>19^c^c>>>8},a===(a|0)?i.x=a:p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor128=s})(xk,typeof lC==\"object\"&&lC,typeof define==\"function\"&&define)});var Ck=Kt((bk,mC)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.next=function(){var c=i.x^i.x>>>2;return i.x=i.y,i.y=i.z,i.z=i.w,i.w=i.v,(i.d=i.d+362437|0)+(i.v=i.v^i.v<<4^(c^c<<1))|0},i.x=0,i.y=0,i.z=0,i.w=0,i.v=0,a===(a|0)?i.x=a:p+=a;for(var u=0;u>>4),i.next()}function n(a,i){return i.x=a.x,i.y=a.y,i.z=a.z,i.w=a.w,i.v=a.v,i.d=a.d,i}function s(a,i){var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorwow=s})(bk,typeof mC==\"object\"&&mC,typeof define==\"function\"&&define)});var wk=Kt((Sk,dC)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.x,c=i.i,l,m,d;return l=u[c],l^=l>>>7,m=l^l<<24,l=u[c+1&7],m^=l^l>>>10,l=u[c+3&7],m^=l^l>>>3,l=u[c+4&7],m^=l^l<<7,l=u[c+7&7],l=l^l<<13,m^=l^l<<9,u[c]=m,i.i=c+1&7,m};function p(u,c){var l,m,d=[];if(c===(c|0))m=d[0]=c;else for(c=\"\"+c,l=0;l0;--l)u.next()}p(i,a)}function n(a,i){return i.x=a.x.slice(),i.i=a.i,i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.x&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorshift7=s})(Sk,typeof dC==\"object\"&&dC,typeof define==\"function\"&&define)});var vk=Kt((Ik,fC)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.w,c=i.X,l=i.i,m,d;return i.w=u=u+1640531527|0,d=c[l+34&127],m=c[l=l+1&127],d^=d<<13,m^=m<<17,d^=d>>>15,m^=m>>>12,d=c[l]=d^m,i.i=l,d+(u^u>>>16)|0};function p(u,c){var l,m,d,f,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),d=0,f=-32;f>>15,m^=m<<4,m^=m>>>13,f>=0&&(h=h+1640531527|0,l=g[f&127]^=m+h,d=l==0?d+1:0);for(d>=128&&(g[(c&&c.length||0)&127]=-1),d=127,f=4*128;f>0;--f)m=g[d+34&127],l=g[d=d+1&127],m^=m<<13,l^=l<<17,m^=m>>>15,l^=l>>>12,g[d]=m^l;u.w=h,u.X=g,u.i=d}p(i,a)}function n(a,i){return i.i=a.i,i.w=a.w,i.X=a.X.slice(),i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.X&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor4096=s})(Ik,typeof fC==\"object\"&&fC,typeof define==\"function\"&&define)});var Nk=Kt((kk,hC)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.next=function(){var c=i.b,l=i.c,m=i.d,d=i.a;return c=c<<25^c>>>7^l,l=l-m|0,m=m<<24^m>>>8^d,d=d-c|0,i.b=c=c<<20^c>>>12^l,i.c=l=l-m|0,i.d=m<<16^l>>>16^d,i.a=d-c|0},i.a=0,i.b=0,i.c=-1640531527,i.d=1367130551,a===Math.floor(a)?(i.a=a/4294967296|0,i.b=a|0):p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.tychei=s})(kk,typeof hC==\"object\"&&hC,typeof define==\"function\"&&define)});var Tk=Kt(()=>{});var $k=Kt((_k,yd)=>{(function(r,e,t){var o=256,n=6,s=52,a=\"random\",i=t.pow(o,n),p=t.pow(2,s),u=p*2,c=o-1,l;function m(C,w,k){var _=[];w=w==!0?{entropy:!0}:w||{};var E=g(h(w.entropy?[C,b(e)]:C==null?x():C,3),_),A=new d(_),R=function(){for(var D=A.g(n),P=i,M=0;D=u;)D/=2,P/=2,M>>>=1;return(D+M)/P};return R.int32=function(){return A.g(4)|0},R.quick=function(){return A.g(4)/4294967296},R.double=R,g(b(A.S),e),(w.pass||k||function(D,P,M,L){return L&&(L.S&&f(L,A),D.state=function(){return f(A,{})}),M?(t[a]=D,P):D})(R,E,\"global\"in w?w.global:this==t,w.state)}function d(C){var w,k=C.length,_=this,E=0,A=_.i=_.j=0,R=_.S=[];for(k||(C=[k++]);E{var P4=gk(),M4=yk(),L4=Ck(),B4=wk(),V4=vk(),z4=Nk(),lu=$k();lu.alea=P4;lu.xor128=M4;lu.xorwow=L4;lu.xorshift7=B4;lu.xor4096=V4;lu.tychei=z4;Ek.exports=lu});var oI=Kt(()=>{});var nI=Kt(()=>{});var x3=Kt(()=>{});var y3=Kt(()=>{});var b3=Kt(()=>{});var C3=Kt((wg,aI)=>{var sI=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(e){e=e||{};function t(){return te.buffer!=ze&&Nt(te.buffer),ct}function o(){return te.buffer!=ze&&Nt(te.buffer),at}function n(){return te.buffer!=ze&&Nt(te.buffer),ft}function s(){return te.buffer!=ze&&Nt(te.buffer),Rr}function a(){return te.buffer!=ze&&Nt(te.buffer),Pt}function i(){return te.buffer!=ze&&Nt(te.buffer),qr}function p(){return te.buffer!=ze&&Nt(te.buffer),er}var u=typeof e!=\"undefined\"?e:{},c,l;u.ready=new Promise(function(F,B){c=F,l=B});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var d=Object.assign({},u),f=[],h=\"./this.program\",g=(F,B)=>{throw B},x=typeof window==\"object\",b=typeof importScripts==\"function\",C=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",w=u.ENVIRONMENT_IS_PTHREAD||!1,k=\"\";function _(F){return u.locateFile?u.locateFile(F,k):k+F}var E,A,R,D;function P(F){if(F instanceof qi)return;K(\"exiting due to exception: \"+F)}if(C){var M=oI(),L=nI();b?k=L.dirname(k)+\"/\":k=__dirname+\"/\",E=(B,ue)=>(B=ep(B)?new URL(B):L.normalize(B),M.readFileSync(B,ue?void 0:\"utf8\")),R=B=>{var ue=E(B,!0);return ue.buffer||(ue=new Uint8Array(ue)),ue},A=(B,ue,_e)=>{B=ep(B)?new URL(B):L.normalize(B),M.readFile(B,function(Me,Pe){Me?_e(Me):ue(Pe.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),f=process.argv.slice(2),process.on(\"uncaughtException\",function(B){if(!(B instanceof qi))throw B}),process.on(\"unhandledRejection\",function(B){throw B}),g=(B,ue)=>{if(Do())throw process.exitCode=B,ue;P(ue),process.exit(B)},u.inspect=function(){return\"[Emscripten Module object]\"};let F;try{F=x3()}catch(B){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),B}global.Worker=F.Worker}else(x||b)&&(b?k=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(k=document.currentScript.src),typeof r!=\"undefined\"&&r&&(k=r),k.indexOf(\"blob:\")!==0?k=k.substr(0,k.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):k=\"\",C||(E=F=>{var B=new XMLHttpRequest;return B.open(\"GET\",F,!1),B.send(null),B.responseText},b&&(R=F=>{var B=new XMLHttpRequest;return B.open(\"GET\",F,!1),B.responseType=\"arraybuffer\",B.send(null),new Uint8Array(B.response)}),A=(F,B,ue)=>{var _e=new XMLHttpRequest;_e.open(\"GET\",F,!0),_e.responseType=\"arraybuffer\",_e.onload=()=>{if(_e.status==200||_e.status==0&&_e.response){B(_e.response);return}ue()},_e.onerror=ue,_e.send(null)}),D=F=>document.title=F);C&&typeof performance==\"undefined\"&&(global.performance=y3().performance);var V=console.log.bind(console),z=console.warn.bind(console);C&&(V=F=>M.writeSync(1,F+`\n`),z=F=>M.writeSync(2,F+`\n`));var U=u.print||V,K=u.printErr||z;Object.assign(u,d),d=null,u.arguments&&(f=u.arguments),u.thisProgram&&(h=u.thisProgram),u.quit&&(g=u.quit);var H=4,q=Atomics.load,Z=Atomics.store,ee=Atomics.compareExchange,oe;u.wasmBinary&&(oe=u.wasmBinary);var J=u.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Ki(\"no native wasm support detected\");var te,ie,ce=!1,ye;function Ne(F,B){F||Ki(B)}var Ie=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Ae(F,B,ue){for(var _e=B+ue,Me=B;F[Me]&&!(Me>=_e);)++Me;if(Me-B>16&&F.buffer&&Ie)return Ie.decode(F.buffer instanceof SharedArrayBuffer?F.slice(B,Me):F.subarray(B,Me));for(var Pe=\"\";B>10,56320|Qr&1023)}}return Pe}function Re(F,B){return F?Ae(o(),F,B):\"\"}function ot(F,B,ue,_e){if(!(_e>0))return 0;for(var Me=ue,Pe=ue+_e-1,fe=0;fe=55296&&ve<=57343){var Ft=F.charCodeAt(++fe);ve=65536+((ve&1023)<<10)|Ft&1023}if(ve<=127){if(ue>=Pe)break;B[ue++]=ve}else if(ve<=2047){if(ue+1>=Pe)break;B[ue++]=192|ve>>6,B[ue++]=128|ve&63}else if(ve<=65535){if(ue+2>=Pe)break;B[ue++]=224|ve>>12,B[ue++]=128|ve>>6&63,B[ue++]=128|ve&63}else{if(ue+3>=Pe)break;B[ue++]=240|ve>>18,B[ue++]=128|ve>>12&63,B[ue++]=128|ve>>6&63,B[ue++]=128|ve&63}}return B[ue]=0,ue-Me}function pt(F,B,ue){return ot(F,o(),B,ue)}var ze,ct,at,ft,ht,Rr,Pt,qr,er;w&&(ze=u.buffer);function Nt(F){ze=F,u.HEAP8=ct=new Int8Array(F),u.HEAP16=ft=new Int16Array(F),u.HEAP32=Rr=new Int32Array(F),u.HEAPU8=at=new Uint8Array(F),u.HEAPU16=ht=new Uint16Array(F),u.HEAPU32=Pt=new Uint32Array(F),u.HEAPF32=qr=new Float32Array(F),u.HEAPF64=er=new Float64Array(F)}var tr=u.INITIAL_MEMORY||16777216;if(w)te=u.wasmMemory,ze=u.buffer;else if(u.wasmMemory)te=u.wasmMemory;else if(te=new WebAssembly.Memory({initial:tr/65536,maximum:32768,shared:!0}),!(te.buffer instanceof SharedArrayBuffer))throw K(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),C&&K(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)\"),Error(\"bad memory\");te&&(ze=te.buffer),tr=ze.byteLength,Nt(ze);var rr,jr=[],Xr=[],cr=[],ea=!1;function Do(){return J}function hs(){if(u.preRun)for(typeof u.preRun==\"function\"&&(u.preRun=[u.preRun]);u.preRun.length;)Dc(u.preRun.shift());Pc(jr)}function qt(){ea=!0,!w&&Pc(Xr)}function ta(){if(!w){if(u.postRun)for(typeof u.postRun==\"function\"&&(u.postRun=[u.postRun]);u.postRun.length;)AI(u.postRun.shift());Pc(cr)}}function Dc(F){jr.unshift(F)}function Fc(F){Xr.unshift(F)}function AI(F){cr.unshift(F)}var Ya=0,Ju=null,ra=null;function Rx(F){Ya++,u.monitorRunDependencies&&u.monitorRunDependencies(Ya)}function Yl(F){if(Ya--,u.monitorRunDependencies&&u.monitorRunDependencies(Ya),Ya==0&&(Ju!==null&&(clearInterval(Ju),Ju=null),ra)){var B=ra;ra=null,B()}}function Ki(F){u.onAbort&&u.onAbort(F),F=\"Aborted(\"+F+\")\",K(F),ce=!0,ye=1,F+=\". Build with -sASSERTIONS for more info.\";var B=new WebAssembly.RuntimeError(F);throw l(B),B}var Dx=\"data:application/octet-stream;base64,\";function Ql(F){return F.startsWith(Dx)}function ep(F){return F.startsWith(\"file://\")}var lr;lr=\"tfjs-backend-wasm-threaded-simd.wasm\",Ql(lr)||(lr=_(lr));function Zl(F){try{if(F==lr&&oe)return new Uint8Array(oe);if(R)return R(F);throw\"both async and sync fetching of the wasm failed\"}catch(B){Ki(B)}}function Fx(){if(!oe&&(x||b)){if(typeof fetch==\"function\"&&!ep(lr))return fetch(lr,{credentials:\"same-origin\"}).then(function(F){if(!F.ok)throw\"failed to load wasm binary file at '\"+lr+\"'\";return F.arrayBuffer()}).catch(function(){return Zl(lr)});if(A)return new Promise(function(F,B){A(lr,function(ue){F(new Uint8Array(ue))},B)})}return Promise.resolve().then(function(){return Zl(lr)})}function Ox(){var F={env:lm,wasi_snapshot_preview1:lm};function B(fe,ve){var Ft=fe.exports;if(u.asm=Ft,Gx(u.asm._emscripten_tls_init),rr=u.asm.__indirect_function_table,Fc(u.asm.__wasm_call_ctors),ie=ve,!w){var Qr=Oe.unusedWorkers.length;Oe.unusedWorkers.forEach(function(na){Oe.loadWasmModuleToWorker(na,function(){--Qr||Yl(\"wasm-instantiate\")})})}}w||Rx(\"wasm-instantiate\");function ue(fe){B(fe.instance,fe.module)}function _e(fe){return Fx().then(function(ve){return WebAssembly.instantiate(ve,F)}).then(function(ve){return ve}).then(fe,function(ve){K(\"failed to asynchronously prepare wasm: \"+ve),Ki(ve)})}function Me(){return!oe&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Ql(lr)&&!ep(lr)&&!C&&typeof fetch==\"function\"?fetch(lr,{credentials:\"same-origin\"}).then(function(fe){var ve=WebAssembly.instantiateStreaming(fe,F);return ve.then(ue,function(Ft){return K(\"wasm streaming compile failed: \"+Ft),K(\"falling back to ArrayBuffer instantiation\"),_e(ue)})}):_e(ue)}if(u.instantiateWasm)try{var Pe=u.instantiateWasm(F,B);return Pe}catch(fe){K(\"Module.instantiateWasm callback failed with error: \"+fe),l(fe)}return Me().catch(l),{}}var RI,DI,Jl={};function qi(F){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+F+\")\",this.status=F}function Px(F){var B=Oe.pthreads[F];delete Oe.pthreads[F],B.terminate(),hb(F),Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(B),1),B.pthread_ptr=0}function Mx(F){var B=Oe.pthreads[F];B.postMessage({cmd:\"cancel\"})}function Oc(F){var B=Oe.pthreads[F];Ne(B),Oe.returnWorkerToPool(B)}function Lx(F){var B=Oe.getNewWorker();if(!B)return 6;Oe.runningWorkers.push(B),Oe.pthreads[F.pthread_ptr]=B,B.pthread_ptr=F.pthread_ptr;var ue={cmd:\"run\",start_routine:F.startRoutine,arg:F.arg,pthread_ptr:F.pthread_ptr};return B.runPthread=()=>{C&&B.ref(),B.postMessage(ue,F.transferList),delete B.runPthread},B.loaded&&B.runPthread(),0}var em={varargs:void 0,get:function(){em.varargs+=4;var F=s()[em.varargs-4>>2];return F},getStr:function(F){var B=Re(F);return B}};function tm(F){if(w)return Qa(1,1,F);ye=F,Do()||(Oe.terminateAllThreads(),u.onExit&&u.onExit(F),ce=!0),g(F,new qi(F))}function Bx(F,B){if(ye=F,!B&&w)throw om(F),\"unwind\";tm(F)}var rm=Bx;function Vx(F){if(F instanceof qi||F==\"unwind\")return ye;g(1,F)}var Oe={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){w?Oe.initWorker():Oe.initMainThread()},initMainThread:function(){for(var F=8;F--;)Oe.allocateUnusedWorker()},initWorker:function(){J=!1},setExitStatus:function(F){ye=F},terminateAllThreads:function(){for(var F of Object.values(Oe.pthreads))Oe.returnWorkerToPool(F);for(var F of Oe.unusedWorkers)F.terminate();Oe.unusedWorkers=[]},returnWorkerToPool:function(F){var B=F.pthread_ptr;delete Oe.pthreads[B],Oe.unusedWorkers.push(F),Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(F),1),F.pthread_ptr=0,C&&F.unref(),hb(B)},receiveObjectTransfer:function(F){},threadInitTLS:function(){Oe.tlsInitFunctions.forEach(F=>F())},loadWasmModuleToWorker:function(F,B){F.onmessage=Pe=>{var fe=Pe.data,ve=fe.cmd;if(F.pthread_ptr&&(Oe.currentProxiedOperationCallerThread=F.pthread_ptr),fe.targetThread&&fe.targetThread!=xm()){var Ft=Oe.pthreads[fe.targetThread];Ft?Ft.postMessage(fe,fe.transferList):K('Internal error! Worker sent a message \"'+ve+'\" to target pthread '+fe.targetThread+\", but that thread no longer exists!\"),Oe.currentProxiedOperationCallerThread=void 0;return}ve===\"processProxyingQueue\"?Mc(fe.queue):ve===\"spawnThread\"?Lx(fe):ve===\"cleanupThread\"?Oc(fe.thread):ve===\"killThread\"?Px(fe.thread):ve===\"cancelThread\"?Mx(fe.thread):ve===\"loaded\"?(F.loaded=!0,C&&F.unref(),B&&B(F),F.runPthread&&F.runPthread()):ve===\"print\"?U(\"Thread \"+fe.threadId+\": \"+fe.text):ve===\"printErr\"?K(\"Thread \"+fe.threadId+\": \"+fe.text):ve===\"alert\"?alert(\"Thread \"+fe.threadId+\": \"+fe.text):fe.target===\"setimmediate\"?F.postMessage(fe):ve===\"callHandler\"?u[fe.handler](...fe.args):ve&&K(\"worker sent an unknown command \"+ve),Oe.currentProxiedOperationCallerThread=void 0},F.onerror=Pe=>{var fe=\"worker sent an error!\";throw K(fe+\" \"+Pe.filename+\":\"+Pe.lineno+\": \"+Pe.message),Pe},C&&(F.on(\"message\",function(Pe){F.onmessage({data:Pe})}),F.on(\"error\",function(Pe){F.onerror(Pe)}),F.on(\"detachedExit\",function(){}));var ue=[],_e=[\"onExit\",\"onAbort\",\"print\",\"printErr\"];for(var Me of _e)u.hasOwnProperty(Me)&&ue.push(Me);F.postMessage({cmd:\"load\",handlers:ue,urlOrBlob:u.mainScriptUrlOrBlob||r,wasmMemory:te,wasmModule:ie})},allocateUnusedWorker:function(){var F,B=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");F=new Worker(B),Oe.unusedWorkers.push(F)},getNewWorker:function(){return Oe.unusedWorkers.length==0&&(Oe.allocateUnusedWorker(),Oe.loadWasmModuleToWorker(Oe.unusedWorkers[0])),Oe.unusedWorkers.pop()}};u.PThread=Oe;function Pc(F){for(;F.length>0;)F.shift()(u)}function zx(){var F=xm(),B=s()[F+52>>2],ue=s()[F+56>>2],_e=B-ue;BI(B,_e),ym(B)}u.establishStackSpace=zx;function om(F){if(w)return Qa(2,0,F);try{rm(F)}catch(B){Vx(B)}}var tp=[];function Wx(F){var B=tp[F];return B||(F>=tp.length&&(tp.length=F+1),tp[F]=B=rr.get(F)),B}function Ux(F,B){var ue=Wx(F)(B);Do()?Oe.setExitStatus(ue):LI(ue)}u.invokeEntryPoint=Ux;function Gx(F){Oe.tlsInitFunctions.push(F)}function Hx(F){OI(F,!b,1,!x),Oe.threadInitTLS()}function Kx(F){w?postMessage({cmd:\"cleanupThread\",thread:F}):Oc(F)}function nm(F,B,ue,_e){return w?Qa(3,1,F,B,ue,_e):sm(F,B,ue,_e)}function sm(F,B,ue,_e){if(typeof SharedArrayBuffer==\"undefined\")return K(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var Me=[],Pe=0;if(w&&(Me.length===0||Pe))return nm(F,B,ue,_e);if(Pe)return Pe;var fe={startRoutine:ue,pthread_ptr:F,arg:_e,transferList:Me};return w?(fe.cmd=\"spawnThread\",postMessage(fe,Me),0):Lx(fe)}function qx(){return 65536}var jx=!0;function Xx(){return jx}function Mc(F){Atomics.store(s(),F>>2,1),xm()&&MI(F),Atomics.compareExchange(s(),F>>2,1,0)}u.executeNotifiedProxyingQueue=Mc;function Yx(F,B,ue,_e){if(F==B)setTimeout(()=>Mc(_e));else if(w)postMessage({targetThread:F,cmd:\"processProxyingQueue\",queue:_e});else{var Me=Oe.pthreads[F];if(!Me)return;Me.postMessage({cmd:\"processProxyingQueue\",queue:_e})}return 1}function Qx(F,B,ue){return-1}function Zx(){Ki(\"\")}function ji(F){ji.shown||(ji.shown={}),ji.shown[F]||(ji.shown[F]=1,C&&(F=\"warning: \"+F),K(F))}function Jx(){C||b||ji(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function ey(){return Date.now()}function am(){return 2147483648}function ty(){return am()}var Lc;C?Lc=()=>{var F=process.hrtime();return F[0]*1e3+F[1]/1e6}:Lc=()=>performance.timeOrigin+performance.now();function ry(F,B,ue){o().copyWithin(F,B,B+ue)}function oy(){return C?b3().cpus().length:navigator.hardwareConcurrency}function ny(F){var B=gb(),ue=F();return ym(B),ue}function Qa(F,B){var ue=arguments.length-2,_e=arguments;return ny(()=>{for(var Me=ue,Pe=bm(Me*8),fe=Pe>>3,ve=0;ve>3,Me=0;Me>>16),Nt(te.buffer),1}catch(B){}}function iy(F){var B=o().length;if(F=F>>>0,F<=B)return!1;var ue=am();if(F>ue)return!1;let _e=(Ft,Qr)=>Ft+(Qr-Ft%Qr)%Qr;for(var Me=1;Me<=4;Me*=2){var Pe=B*(1+.2/Me);Pe=Math.min(Pe,F+100663296);var fe=Math.min(ue,_e(Math.max(F,Pe),65536)),ve=ay(fe);if(ve)return!0}return!1}function uy(){throw\"unwind\"}function im(F){return w?Qa(4,1,F):52}function um(F,B,ue,_e,Me){return w?Qa(5,1,F,B,ue,_e,Me):70}var py=[null,[],[]];function cy(F,B){var ue=py[F];B===0||B===10?((F===1?U:K)(Ae(ue,0)),ue.length=0):ue.push(B)}function pm(F,B,ue,_e){if(w)return Qa(6,1,F,B,ue,_e);for(var Me=0,Pe=0;Pe>2],ve=a()[B+4>>2];B+=8;for(var Ft=0;Ft>2]=Me,0}function cm(F){var B=u[\"_\"+F];return B}function ly(F,B){t().set(F,B)}function my(F,B,ue,_e,Me){var Pe={string:Dr=>{var sp=0;if(Dr!=null&&Dr!==0){var WI=(Dr.length<<2)+1;sp=bm(WI),pt(Dr,sp,WI)}return sp},array:Dr=>{var sp=bm(Dr.length);return ly(Dr,sp),sp}};function fe(Dr){return B===\"string\"?Re(Dr):B===\"boolean\"?!!Dr:Dr}var ve=cm(F),Ft=[],Qr=0;if(_e)for(var na=0;na<_e.length;na++){var zI=Pe[ue[na]];zI?(Qr===0&&(Qr=gb()),Ft[na]=zI(_e[na])):Ft[na]=_e[na]}var xb=ve.apply(null,Ft);function OV(Dr){return Qr!==0&&ym(Qr),fe(Dr)}return xb=OV(xb),xb}function dy(F,B,ue,_e){ue=ue||[];var Me=ue.every(fe=>fe===\"number\"||fe===\"boolean\"),Pe=B!==\"string\";return Pe&&Me&&!_e?cm(F):function(){return my(F,B,ue,arguments,_e)}}Oe.init();var fy=[null,tm,om,nm,im,um,pm],lm={__emscripten_init_main_thread_js:Hx,__emscripten_thread_cleanup:Kx,__pthread_create_js:sm,_emscripten_default_pthread_stack_size:qx,_emscripten_get_now_is_monotonic:Xx,_emscripten_notify_task_queue:Yx,_emscripten_set_offscreencanvas_size:Qx,abort:Zx,emscripten_check_blocking_allowed:Jx,emscripten_date_now:ey,emscripten_get_heap_max:ty,emscripten_get_now:Lc,emscripten_memcpy_big:ry,emscripten_num_logical_cores:oy,emscripten_receive_on_main_thread_js:sy,emscripten_resize_heap:iy,emscripten_unwind_to_js_event_loop:uy,exit:rm,fd_close:im,fd_seek:um,fd_write:pm,memory:te||u.wasmMemory},FI=Ox(),hy=u.___wasm_call_ctors=function(){return(hy=u.___wasm_call_ctors=u.asm.__wasm_call_ctors).apply(null,arguments)},gy=u._init=function(){return(gy=u._init=u.asm.init).apply(null,arguments)},xy=u._init_with_threads_count=function(){return(xy=u._init_with_threads_count=u.asm.init_with_threads_count).apply(null,arguments)},yy=u._get_threads_count=function(){return(yy=u._get_threads_count=u.asm.get_threads_count).apply(null,arguments)},by=u._register_tensor=function(){return(by=u._register_tensor=u.asm.register_tensor).apply(null,arguments)},Cy=u._dispose_data=function(){return(Cy=u._dispose_data=u.asm.dispose_data).apply(null,arguments)},Sy=u._dispose=function(){return(Sy=u._dispose=u.asm.dispose).apply(null,arguments)},wy=u._Abs=function(){return(wy=u._Abs=u.asm.Abs).apply(null,arguments)},Iy=u._Add=function(){return(Iy=u._Add=u.asm.Add).apply(null,arguments)},vy=u._AddN=function(){return(vy=u._AddN=u.asm.AddN).apply(null,arguments)},ky=u._All=function(){return(ky=u._All=u.asm.All).apply(null,arguments)},Ny=u._Any=function(){return(Ny=u._Any=u.asm.Any).apply(null,arguments)},Ty=u._ArgMax=function(){return(Ty=u._ArgMax=u.asm.ArgMax).apply(null,arguments)},_y=u._AvgPool=function(){return(_y=u._AvgPool=u.asm.AvgPool).apply(null,arguments)},$y=u._BatchMatMul=function(){return($y=u._BatchMatMul=u.asm.BatchMatMul).apply(null,arguments)},Ey=u._Ceil=function(){return(Ey=u._Ceil=u.asm.Ceil).apply(null,arguments)},Ay=u._ClipByValue=function(){return(Ay=u._ClipByValue=u.asm.ClipByValue).apply(null,arguments)},Ry=u._Conv2D=function(){return(Ry=u._Conv2D=u.asm.Conv2D).apply(null,arguments)},Dy=u._Conv2DBackpropInput=function(){return(Dy=u._Conv2DBackpropInput=u.asm.Conv2DBackpropInput).apply(null,arguments)},Fy=u._Cos=function(){return(Fy=u._Cos=u.asm.Cos).apply(null,arguments)},Oy=u._Cosh=function(){return(Oy=u._Cosh=u.asm.Cosh).apply(null,arguments)},Py=u._CropAndResize=function(){return(Py=u._CropAndResize=u.asm.CropAndResize).apply(null,arguments)},My=u._Cumprod=function(){return(My=u._Cumprod=u.asm.Cumprod).apply(null,arguments)},Ly=u._Cumsum=function(){return(Ly=u._Cumsum=u.asm.Cumsum).apply(null,arguments)},By=u._DepthToSpace=function(){return(By=u._DepthToSpace=u.asm.DepthToSpace).apply(null,arguments)},Vy=u._DepthwiseConv2dNative=function(){return(Vy=u._DepthwiseConv2dNative=u.asm.DepthwiseConv2dNative).apply(null,arguments)},zy=u._Elu=function(){return(zy=u._Elu=u.asm.Elu).apply(null,arguments)},Wy=u._Equal=function(){return(Wy=u._Equal=u.asm.Equal).apply(null,arguments)},Uy=u._Exp=function(){return(Uy=u._Exp=u.asm.Exp).apply(null,arguments)},Gy=u._FlipLeftRight=function(){return(Gy=u._FlipLeftRight=u.asm.FlipLeftRight).apply(null,arguments)},Hy=u._Floor=function(){return(Hy=u._Floor=u.asm.Floor).apply(null,arguments)},Ky=u._FloorDiv=function(){return(Ky=u._FloorDiv=u.asm.FloorDiv).apply(null,arguments)},qy=u._FusedBatchNorm=function(){return(qy=u._FusedBatchNorm=u.asm.FusedBatchNorm).apply(null,arguments)},jy=u._FusedConv2D=function(){return(jy=u._FusedConv2D=u.asm.FusedConv2D).apply(null,arguments)},Xy=u._FusedDepthwiseConv2D=function(){return(Xy=u._FusedDepthwiseConv2D=u.asm.FusedDepthwiseConv2D).apply(null,arguments)},Yy=u._Gather=function(){return(Yy=u._Gather=u.asm.Gather).apply(null,arguments)},Qy=u._GatherNd=function(){return(Qy=u._GatherNd=u.asm.GatherNd).apply(null,arguments)},Zy=u._Greater=function(){return(Zy=u._Greater=u.asm.Greater).apply(null,arguments)},Jy=u._GreaterEqual=function(){return(Jy=u._GreaterEqual=u.asm.GreaterEqual).apply(null,arguments)},eb=u._IsNan=function(){return(eb=u._IsNan=u.asm.IsNan).apply(null,arguments)},tb=u._LeakyRelu=function(){return(tb=u._LeakyRelu=u.asm.LeakyRelu).apply(null,arguments)},rb=u._Less=function(){return(rb=u._Less=u.asm.Less).apply(null,arguments)},ob=u._LessEqual=function(){return(ob=u._LessEqual=u.asm.LessEqual).apply(null,arguments)},nb=u._Log=function(){return(nb=u._Log=u.asm.Log).apply(null,arguments)},sb=u._LogicalAnd=function(){return(sb=u._LogicalAnd=u.asm.LogicalAnd).apply(null,arguments)},ab=u._LogicalNot=function(){return(ab=u._LogicalNot=u.asm.LogicalNot).apply(null,arguments)},ib=u._LogicalOr=function(){return(ib=u._LogicalOr=u.asm.LogicalOr).apply(null,arguments)},ub=u._LogicalXor=function(){return(ub=u._LogicalXor=u.asm.LogicalXor).apply(null,arguments)},pb=u._Max=function(){return(pb=u._Max=u.asm.Max).apply(null,arguments)},cb=u._MaxPool=function(){return(cb=u._MaxPool=u.asm.MaxPool).apply(null,arguments)},mm=u._Maximum=function(){return(mm=u._Maximum=u.asm.Maximum).apply(null,arguments)},dm=u._Mean=function(){return(dm=u._Mean=u.asm.Mean).apply(null,arguments)},Vc=u._Min=function(){return(Vc=u._Min=u.asm.Min).apply(null,arguments)},lb=u._Minimum=function(){return(lb=u._Minimum=u.asm.Minimum).apply(null,arguments)},mb=u._MirrorPad=function(){return(mb=u._MirrorPad=u.asm.MirrorPad).apply(null,arguments)},rp=u._Multiply=function(){return(rp=u._Multiply=u.asm.Multiply).apply(null,arguments)},fm=u._Neg=function(){return(fm=u._Neg=u.asm.Neg).apply(null,arguments)},op=u._NonMaxSuppressionV3=function(){return(op=u._NonMaxSuppressionV3=u.asm.NonMaxSuppressionV3).apply(null,arguments)},np=u._NonMaxSuppressionV4=function(){return(np=u._NonMaxSuppressionV4=u.asm.NonMaxSuppressionV4).apply(null,arguments)},db=u._NonMaxSuppressionV5=function(){return(db=u._NonMaxSuppressionV5=u.asm.NonMaxSuppressionV5).apply(null,arguments)},G=u._NotEqual=function(){return(G=u._NotEqual=u.asm.NotEqual).apply(null,arguments)},se=u._OneHot=function(){return(se=u._OneHot=u.asm.OneHot).apply(null,arguments)},Te=u._PadV2=function(){return(Te=u._PadV2=u.asm.PadV2).apply(null,arguments)},nt=u._Pow=function(){return(nt=u._Pow=u.asm.Pow).apply(null,arguments)},Tt=u._Prelu=function(){return(Tt=u._Prelu=u.asm.Prelu).apply(null,arguments)},_t=u._Prod=function(){return(_t=u._Prod=u.asm.Prod).apply(null,arguments)},qe=u._RealDiv=function(){return(qe=u._RealDiv=u.asm.RealDiv).apply(null,arguments)},Ue=u._Reciprocal=function(){return(Ue=u._Reciprocal=u.asm.Reciprocal).apply(null,arguments)},Wt=u._Relu=function(){return(Wt=u._Relu=u.asm.Relu).apply(null,arguments)},Yr=u._Relu6=function(){return(Yr=u._Relu6=u.asm.Relu6).apply(null,arguments)},oa=u._ResizeBilinear=function(){return(oa=u._ResizeBilinear=u.asm.ResizeBilinear).apply(null,arguments)},hm=u._ResizeNearestNeighbor=function(){return(hm=u._ResizeNearestNeighbor=u.asm.ResizeNearestNeighbor).apply(null,arguments)},zc=u._Reverse=function(){return(zc=u._Reverse=u.asm.Reverse).apply(null,arguments)},fb=u._RotateWithOffset=function(){return(fb=u._RotateWithOffset=u.asm.RotateWithOffset).apply(null,arguments)},hr=u._Round=function(){return(hr=u._Round=u.asm.Round).apply(null,arguments)},Za=u._Rsqrt=function(){return(Za=u._Rsqrt=u.asm.Rsqrt).apply(null,arguments)},gm=u._ScatterNd=function(){return(gm=u._ScatterNd=u.asm.ScatterNd).apply(null,arguments)},oV=u._SelectV2=function(){return(oV=u._SelectV2=u.asm.SelectV2).apply(null,arguments)},nV=u._Sigmoid=function(){return(nV=u._Sigmoid=u.asm.Sigmoid).apply(null,arguments)},sV=u._Sin=function(){return(sV=u._Sin=u.asm.Sin).apply(null,arguments)},aV=u._Softmax=function(){return(aV=u._Softmax=u.asm.Softmax).apply(null,arguments)},iV=u._SparseFillEmptyRows=function(){return(iV=u._SparseFillEmptyRows=u.asm.SparseFillEmptyRows).apply(null,arguments)},uV=u._SparseReshape=function(){return(uV=u._SparseReshape=u.asm.SparseReshape).apply(null,arguments)},pV=u._SparseSegmentReduction=function(){return(pV=u._SparseSegmentReduction=u.asm.SparseSegmentReduction).apply(null,arguments)},cV=u._Sqrt=function(){return(cV=u._Sqrt=u.asm.Sqrt).apply(null,arguments)},lV=u._Square=function(){return(lV=u._Square=u.asm.Square).apply(null,arguments)},mV=u._SquaredDifference=function(){return(mV=u._SquaredDifference=u.asm.SquaredDifference).apply(null,arguments)},dV=u._Step=function(){return(dV=u._Step=u.asm.Step).apply(null,arguments)},fV=u._StridedSlice=function(){return(fV=u._StridedSlice=u.asm.StridedSlice).apply(null,arguments)},hV=u._Sub=function(){return(hV=u._Sub=u.asm.Sub).apply(null,arguments)},gV=u._Sum=function(){return(gV=u._Sum=u.asm.Sum).apply(null,arguments)},xV=u._Tan=function(){return(xV=u._Tan=u.asm.Tan).apply(null,arguments)},yV=u._Tanh=function(){return(yV=u._Tanh=u.asm.Tanh).apply(null,arguments)},bV=u._Tile=function(){return(bV=u._Tile=u.asm.Tile).apply(null,arguments)},CV=u._TopK=function(){return(CV=u._TopK=u.asm.TopK).apply(null,arguments)},SV=u._Transform=function(){return(SV=u._Transform=u.asm.Transform).apply(null,arguments)},wV=u._Transpose=function(){return(wV=u._Transpose=u.asm.Transpose).apply(null,arguments)},IV=u.__FusedMatMul=function(){return(IV=u.__FusedMatMul=u.asm._FusedMatMul).apply(null,arguments)},vV=u._malloc=function(){return(vV=u._malloc=u.asm.malloc).apply(null,arguments)},kV=u._free=function(){return(kV=u._free=u.asm.free).apply(null,arguments)},NV=u.__emscripten_tls_init=function(){return(NV=u.__emscripten_tls_init=u.asm._emscripten_tls_init).apply(null,arguments)},xm=u._pthread_self=function(){return(xm=u._pthread_self=u.asm.pthread_self).apply(null,arguments)},TV=u.___errno_location=function(){return(TV=u.___errno_location=u.asm.__errno_location).apply(null,arguments)},OI=u.__emscripten_thread_init=function(){return(OI=u.__emscripten_thread_init=u.asm._emscripten_thread_init).apply(null,arguments)},_V=u.__emscripten_thread_crashed=function(){return(_V=u.__emscripten_thread_crashed=u.asm._emscripten_thread_crashed).apply(null,arguments)},$V=u._emscripten_main_thread_process_queued_calls=function(){return($V=u._emscripten_main_thread_process_queued_calls=u.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},EV=u._emscripten_main_browser_thread_id=function(){return(EV=u._emscripten_main_browser_thread_id=u.asm.emscripten_main_browser_thread_id).apply(null,arguments)},PI=u._emscripten_run_in_main_runtime_thread_js=function(){return(PI=u._emscripten_run_in_main_runtime_thread_js=u.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},AV=u._emscripten_dispatch_to_thread_=function(){return(AV=u._emscripten_dispatch_to_thread_=u.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},MI=u.__emscripten_proxy_execute_task_queue=function(){return(MI=u.__emscripten_proxy_execute_task_queue=u.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},hb=u.__emscripten_thread_free_data=function(){return(hb=u.__emscripten_thread_free_data=u.asm._emscripten_thread_free_data).apply(null,arguments)},LI=u.__emscripten_thread_exit=function(){return(LI=u.__emscripten_thread_exit=u.asm._emscripten_thread_exit).apply(null,arguments)},BI=u._emscripten_stack_set_limits=function(){return(BI=u._emscripten_stack_set_limits=u.asm.emscripten_stack_set_limits).apply(null,arguments)},gb=u.stackSave=function(){return(gb=u.stackSave=u.asm.stackSave).apply(null,arguments)},ym=u.stackRestore=function(){return(ym=u.stackRestore=u.asm.stackRestore).apply(null,arguments)},bm=u.stackAlloc=function(){return(bm=u.stackAlloc=u.asm.stackAlloc).apply(null,arguments)},RV=u.dynCall_iijjiiii=function(){return(RV=u.dynCall_iijjiiii=u.asm.dynCall_iijjiiii).apply(null,arguments)},DV=u.dynCall_jiji=function(){return(DV=u.dynCall_jiji=u.asm.dynCall_jiji).apply(null,arguments)};u.keepRuntimeAlive=Do,u.wasmMemory=te,u.cwrap=dy,u.ExitStatus=qi,u.PThread=Oe;var Cm;ra=function F(){Cm||VI(),Cm||(ra=F)};function VI(F){if(F=F||f,Ya>0)return;if(w){c(u),qt(),startWorker(u);return}if(hs(),Ya>0)return;function B(){Cm||(Cm=!0,u.calledRun=!0,!ce&&(qt(),c(u),u.onRuntimeInitialized&&u.onRuntimeInitialized(),ta()))}u.setStatus?(u.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){u.setStatus(\"\")},1),B()},1)):B()}if(u.preInit)for(typeof u.preInit==\"function\"&&(u.preInit=[u.preInit]);u.preInit.length>0;)u.preInit.pop()();VI();var Sm;m&&(Sm={uncaughtException:process.listeners(\"uncaughtException\").filter(function(F){return!m.uncaughtException.indexOf(F)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(F){return!m.unhandledRejection.indexOf(F)>-1})});var wm;if(typeof WasmBackendModule!=\"undefined\")wm=WasmBackendModule;else if(typeof e!=\"undefined\")wm=e;else throw new Error(\"Could not find wasm module in post.js\");if(Sm){var FV=wm._dispose;wm._dispose=function(){FV(),Sm.uncaughtException.forEach(function(F){process.removeListener(\"uncaughtException\",F)}),Sm.unhandledRejection.forEach(function(F){process.removeListener(\"unhandledRejection\",F)})}}return e.ready}})();typeof wg==\"object\"&&typeof aI==\"object\"?aI.exports=sI:typeof define==\"function\"&&define.amd?define([],function(){return sI}):typeof wg==\"object\"&&(wg.WasmBackendModuleThreadedSimd=sI)});var w3=Kt((a1t,S3)=>{S3.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\")+\"//# sourceURL=\"+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({\"cmd\":\"loaded\"})};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:\"callHandler\",handler:handler,args:[...arguments]})}}Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd===\"run\"){Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var I3=Kt((Ig,uI)=>{var iI=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(e){e=e||{};var t=typeof e!=\"undefined\"?e:{},o,n;t.ready=new Promise(function(G,se){o=G,n=se});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var a=Object.assign({},t),i=[],p=\"./this.program\",u=(G,se)=>{throw se},c=typeof window==\"object\",l=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",d=\"\";function f(G){return t.locateFile?t.locateFile(G,d):d+G}var h,g,x,b;function C(G){if(G instanceof Ju)return;E(\"exiting due to exception: \"+G)}if(m){var w=oI(),k=nI();l?d=k.dirname(d)+\"/\":d=__dirname+\"/\",h=(G,se)=>(G=hs(G)?new URL(G):k.normalize(G),w.readFileSync(G,se?void 0:\"utf8\")),x=G=>{var se=h(G,!0);return se.buffer||(se=new Uint8Array(se)),se},g=(G,se,Te)=>{G=hs(G)?new URL(G):k.normalize(G),w.readFile(G,function(nt,Tt){nt?Te(nt):se(Tt.buffer)})},process.argv.length>1&&(p=process.argv[1].replace(/\\\\/g,\"/\")),i=process.argv.slice(2),process.on(\"uncaughtException\",function(G){if(!(G instanceof Ju))throw G}),process.on(\"unhandledRejection\",function(G){throw G}),u=(G,se)=>{if(at())throw process.exitCode=G,se;C(se),process.exit(G)},t.inspect=function(){return\"[Emscripten Module object]\"}}else(c||l)&&(l?d=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(d=document.currentScript.src),r&&(d=r),d.indexOf(\"blob:\")!==0?d=d.substr(0,d.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):d=\"\",h=G=>{var se=new XMLHttpRequest;return se.open(\"GET\",G,!1),se.send(null),se.responseText},l&&(x=G=>{var se=new XMLHttpRequest;return se.open(\"GET\",G,!1),se.responseType=\"arraybuffer\",se.send(null),new Uint8Array(se.response)}),g=(G,se,Te)=>{var nt=new XMLHttpRequest;nt.open(\"GET\",G,!0),nt.responseType=\"arraybuffer\",nt.onload=()=>{if(nt.status==200||nt.status==0&&nt.response){se(nt.response);return}Te()},nt.onerror=Te,nt.send(null)},b=G=>document.title=G);var _=t.print||console.log.bind(console),E=t.printErr||console.warn.bind(console);Object.assign(t,a),a=null,t.arguments&&(i=t.arguments),t.thisProgram&&(p=t.thisProgram),t.quit&&(u=t.quit);var A=4,R;t.wasmBinary&&(R=t.wasmBinary);var D=t.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&cr(\"no native wasm support detected\");var P,M=!1,L;function V(G,se){G||cr(se)}var z=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function U(G,se,Te){for(var nt=se+Te,Tt=se;G[Tt]&&!(Tt>=nt);)++Tt;if(Tt-se>16&&G.buffer&&z)return z.decode(G.subarray(se,Tt));for(var _t=\"\";se>10,56320|Yr&1023)}}return _t}function K(G,se){return G?U(oe,G,se):\"\"}function H(G,se,Te,nt){if(!(nt>0))return 0;for(var Tt=Te,_t=Te+nt-1,qe=0;qe=55296&&Ue<=57343){var Wt=G.charCodeAt(++qe);Ue=65536+((Ue&1023)<<10)|Wt&1023}if(Ue<=127){if(Te>=_t)break;se[Te++]=Ue}else if(Ue<=2047){if(Te+1>=_t)break;se[Te++]=192|Ue>>6,se[Te++]=128|Ue&63}else if(Ue<=65535){if(Te+2>=_t)break;se[Te++]=224|Ue>>12,se[Te++]=128|Ue>>6&63,se[Te++]=128|Ue&63}else{if(Te+3>=_t)break;se[Te++]=240|Ue>>18,se[Te++]=128|Ue>>12&63,se[Te++]=128|Ue>>6&63,se[Te++]=128|Ue&63}}return se[Te]=0,Te-Tt}function q(G,se,Te){return H(G,oe,se,Te)}var Z,ee,oe,J,te,ie,ce,ye,Ne;function Ie(G){Z=G,t.HEAP8=ee=new Int8Array(G),t.HEAP16=J=new Int16Array(G),t.HEAP32=ie=new Int32Array(G),t.HEAPU8=oe=new Uint8Array(G),t.HEAPU16=te=new Uint16Array(G),t.HEAPU32=ce=new Uint32Array(G),t.HEAPF32=ye=new Float32Array(G),t.HEAPF64=Ne=new Float64Array(G)}var Ae=t.INITIAL_MEMORY||16777216,Re,ot=[],pt=[],ze=[],ct=!1;function at(){return D}function ft(){if(t.preRun)for(typeof t.preRun==\"function\"&&(t.preRun=[t.preRun]);t.preRun.length;)Pt(t.preRun.shift());ra(ot)}function ht(){ct=!0,ra(pt)}function Rr(){if(t.postRun)for(typeof t.postRun==\"function\"&&(t.postRun=[t.postRun]);t.postRun.length;)er(t.postRun.shift());ra(ze)}function Pt(G){ot.unshift(G)}function qr(G){pt.unshift(G)}function er(G){ze.unshift(G)}var Nt=0,tr=null,rr=null;function jr(G){Nt++,t.monitorRunDependencies&&t.monitorRunDependencies(Nt)}function Xr(G){if(Nt--,t.monitorRunDependencies&&t.monitorRunDependencies(Nt),Nt==0&&(tr!==null&&(clearInterval(tr),tr=null),rr)){var se=rr;rr=null,se()}}function cr(G){t.onAbort&&t.onAbort(G),G=\"Aborted(\"+G+\")\",E(G),M=!0,L=1,G+=\". Build with -sASSERTIONS for more info.\";var se=new WebAssembly.RuntimeError(G);throw n(se),se}var ea=\"data:application/octet-stream;base64,\";function Do(G){return G.startsWith(ea)}function hs(G){return G.startsWith(\"file://\")}var qt;qt=\"tfjs-backend-wasm.wasm\",Do(qt)||(qt=f(qt));function ta(G){try{if(G==qt&&R)return new Uint8Array(R);if(x)return x(G);throw\"both async and sync fetching of the wasm failed\"}catch(se){cr(se)}}function Dc(){if(!R&&(c||l)){if(typeof fetch==\"function\"&&!hs(qt))return fetch(qt,{credentials:\"same-origin\"}).then(function(G){if(!G.ok)throw\"failed to load wasm binary file at '\"+qt+\"'\";return G.arrayBuffer()}).catch(function(){return ta(qt)});if(g)return new Promise(function(G,se){g(qt,function(Te){G(new Uint8Array(Te))},se)})}return Promise.resolve().then(function(){return ta(qt)})}function Fc(){var G={env:Oc,wasi_snapshot_preview1:Oc};function se(qe,Ue){var Wt=qe.exports;t.asm=Wt,P=t.asm.memory,Ie(P.buffer),Re=t.asm.__indirect_function_table,qr(t.asm.__wasm_call_ctors),Xr(\"wasm-instantiate\")}jr(\"wasm-instantiate\");function Te(qe){se(qe.instance)}function nt(qe){return Dc().then(function(Ue){return WebAssembly.instantiate(Ue,G)}).then(function(Ue){return Ue}).then(qe,function(Ue){E(\"failed to asynchronously prepare wasm: \"+Ue),cr(Ue)})}function Tt(){return!R&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Do(qt)&&!hs(qt)&&!m&&typeof fetch==\"function\"?fetch(qt,{credentials:\"same-origin\"}).then(function(qe){var Ue=WebAssembly.instantiateStreaming(qe,G);return Ue.then(Te,function(Wt){return E(\"wasm streaming compile failed: \"+Wt),E(\"falling back to ArrayBuffer instantiation\"),nt(Te)})}):nt(Te)}if(t.instantiateWasm)try{var _t=t.instantiateWasm(G,se);return _t}catch(qe){E(\"Module.instantiateWasm callback failed with error: \"+qe),n(qe)}return Tt().catch(n),{}}var AI,Ya;function Ju(G){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+G+\")\",this.status=G}function ra(G){for(;G.length>0;)G.shift()(t)}function Rx(){cr(\"\")}function Yl(){return 2147483648}function Ki(){return Yl()}function Dx(G,se,Te){oe.copyWithin(G,se,se+Te)}function Ql(G){try{return P.grow(G-Z.byteLength+65535>>>16),Ie(P.buffer),1}catch(se){}}function ep(G){var se=oe.length;G=G>>>0;var Te=Yl();if(G>Te)return!1;let nt=(Wt,Yr)=>Wt+(Yr-Wt%Yr)%Yr;for(var Tt=1;Tt<=4;Tt*=2){var _t=se*(1+.2/Tt);_t=Math.min(_t,G+100663296);var qe=Math.min(Te,nt(Math.max(G,_t),65536)),Ue=Ql(qe);if(Ue)return!0}return!1}var lr={varargs:void 0,get:function(){lr.varargs+=4;var G=ie[lr.varargs-4>>2];return G},getStr:function(G){var se=K(G);return se}};function Zl(G){return 52}function Fx(G,se,Te,nt,Tt){return 70}var Ox=[null,[],[]];function RI(G,se){var Te=Ox[G];se===0||se===10?((G===1?_:E)(U(Te,0)),Te.length=0):Te.push(se)}function DI(G,se,Te,nt){for(var Tt=0,_t=0;_t>2],Ue=ce[se+4>>2];se+=8;for(var Wt=0;Wt>2]=Tt,0}function Jl(G){var se=t[\"_\"+G];return se}function qi(G,se){ee.set(G,se)}function Px(G,se,Te,nt,Tt){var _t={string:hr=>{var Za=0;if(hr!=null&&hr!==0){var gm=(hr.length<<2)+1;Za=Vc(gm),q(hr,Za,gm)}return Za},array:hr=>{var Za=Vc(hr.length);return qi(hr,Za),Za}};function qe(hr){return se===\"string\"?K(hr):se===\"boolean\"?!!hr:hr}var Ue=Jl(G),Wt=[],Yr=0;if(nt)for(var oa=0;oaqe===\"number\"||qe===\"boolean\"),_t=se!==\"string\";return _t&&Tt&&!nt?Jl(G):function(){return Px(G,se,Te,arguments,nt)}}var Oc={abort:Rx,emscripten_get_heap_max:Ki,emscripten_memcpy_big:Dx,emscripten_resize_heap:ep,fd_close:Zl,fd_seek:Fx,fd_write:DI},Lx=Fc(),em=t.___wasm_call_ctors=function(){return(em=t.___wasm_call_ctors=t.asm.__wasm_call_ctors).apply(null,arguments)},tm=t._init=function(){return(tm=t._init=t.asm.init).apply(null,arguments)},Bx=t._init_with_threads_count=function(){return(Bx=t._init_with_threads_count=t.asm.init_with_threads_count).apply(null,arguments)},rm=t._get_threads_count=function(){return(rm=t._get_threads_count=t.asm.get_threads_count).apply(null,arguments)},Vx=t._register_tensor=function(){return(Vx=t._register_tensor=t.asm.register_tensor).apply(null,arguments)},Oe=t._dispose_data=function(){return(Oe=t._dispose_data=t.asm.dispose_data).apply(null,arguments)},Pc=t._dispose=function(){return(Pc=t._dispose=t.asm.dispose).apply(null,arguments)},zx=t._Abs=function(){return(zx=t._Abs=t.asm.Abs).apply(null,arguments)},om=t._Add=function(){return(om=t._Add=t.asm.Add).apply(null,arguments)},tp=t._AddN=function(){return(tp=t._AddN=t.asm.AddN).apply(null,arguments)},Wx=t._All=function(){return(Wx=t._All=t.asm.All).apply(null,arguments)},Ux=t._Any=function(){return(Ux=t._Any=t.asm.Any).apply(null,arguments)},Gx=t._ArgMax=function(){return(Gx=t._ArgMax=t.asm.ArgMax).apply(null,arguments)},Hx=t._AvgPool=function(){return(Hx=t._AvgPool=t.asm.AvgPool).apply(null,arguments)},Kx=t._BatchMatMul=function(){return(Kx=t._BatchMatMul=t.asm.BatchMatMul).apply(null,arguments)},nm=t._Ceil=function(){return(nm=t._Ceil=t.asm.Ceil).apply(null,arguments)},sm=t._ClipByValue=function(){return(sm=t._ClipByValue=t.asm.ClipByValue).apply(null,arguments)},qx=t._Conv2D=function(){return(qx=t._Conv2D=t.asm.Conv2D).apply(null,arguments)},jx=t._Conv2DBackpropInput=function(){return(jx=t._Conv2DBackpropInput=t.asm.Conv2DBackpropInput).apply(null,arguments)},Xx=t._Cos=function(){return(Xx=t._Cos=t.asm.Cos).apply(null,arguments)},Mc=t._Cosh=function(){return(Mc=t._Cosh=t.asm.Cosh).apply(null,arguments)},Yx=t._CropAndResize=function(){return(Yx=t._CropAndResize=t.asm.CropAndResize).apply(null,arguments)},Qx=t._Cumprod=function(){return(Qx=t._Cumprod=t.asm.Cumprod).apply(null,arguments)},Zx=t._Cumsum=function(){return(Zx=t._Cumsum=t.asm.Cumsum).apply(null,arguments)},ji=t._DepthToSpace=function(){return(ji=t._DepthToSpace=t.asm.DepthToSpace).apply(null,arguments)},Jx=t._DepthwiseConv2dNative=function(){return(Jx=t._DepthwiseConv2dNative=t.asm.DepthwiseConv2dNative).apply(null,arguments)},ey=t._Elu=function(){return(ey=t._Elu=t.asm.Elu).apply(null,arguments)},am=t._Equal=function(){return(am=t._Equal=t.asm.Equal).apply(null,arguments)},ty=t._Exp=function(){return(ty=t._Exp=t.asm.Exp).apply(null,arguments)},Lc=t._FlipLeftRight=function(){return(Lc=t._FlipLeftRight=t.asm.FlipLeftRight).apply(null,arguments)},ry=t._Floor=function(){return(ry=t._Floor=t.asm.Floor).apply(null,arguments)},oy=t._FloorDiv=function(){return(oy=t._FloorDiv=t.asm.FloorDiv).apply(null,arguments)},ny=t._FusedBatchNorm=function(){return(ny=t._FusedBatchNorm=t.asm.FusedBatchNorm).apply(null,arguments)},Qa=t._FusedConv2D=function(){return(Qa=t._FusedConv2D=t.asm.FusedConv2D).apply(null,arguments)},Bc=t._FusedDepthwiseConv2D=function(){return(Bc=t._FusedDepthwiseConv2D=t.asm.FusedDepthwiseConv2D).apply(null,arguments)},sy=t._Gather=function(){return(sy=t._Gather=t.asm.Gather).apply(null,arguments)},ay=t._GatherNd=function(){return(ay=t._GatherNd=t.asm.GatherNd).apply(null,arguments)},iy=t._Greater=function(){return(iy=t._Greater=t.asm.Greater).apply(null,arguments)},uy=t._GreaterEqual=function(){return(uy=t._GreaterEqual=t.asm.GreaterEqual).apply(null,arguments)},im=t._IsNan=function(){return(im=t._IsNan=t.asm.IsNan).apply(null,arguments)},um=t._LeakyRelu=function(){return(um=t._LeakyRelu=t.asm.LeakyRelu).apply(null,arguments)},py=t._Less=function(){return(py=t._Less=t.asm.Less).apply(null,arguments)},cy=t._LessEqual=function(){return(cy=t._LessEqual=t.asm.LessEqual).apply(null,arguments)},pm=t._Log=function(){return(pm=t._Log=t.asm.Log).apply(null,arguments)},cm=t._LogicalAnd=function(){return(cm=t._LogicalAnd=t.asm.LogicalAnd).apply(null,arguments)},ly=t._LogicalNot=function(){return(ly=t._LogicalNot=t.asm.LogicalNot).apply(null,arguments)},my=t._LogicalOr=function(){return(my=t._LogicalOr=t.asm.LogicalOr).apply(null,arguments)},dy=t._LogicalXor=function(){return(dy=t._LogicalXor=t.asm.LogicalXor).apply(null,arguments)},fy=t._Max=function(){return(fy=t._Max=t.asm.Max).apply(null,arguments)},lm=t._MaxPool=function(){return(lm=t._MaxPool=t.asm.MaxPool).apply(null,arguments)},FI=t._Maximum=function(){return(FI=t._Maximum=t.asm.Maximum).apply(null,arguments)},hy=t._Mean=function(){return(hy=t._Mean=t.asm.Mean).apply(null,arguments)},gy=t._Min=function(){return(gy=t._Min=t.asm.Min).apply(null,arguments)},xy=t._Minimum=function(){return(xy=t._Minimum=t.asm.Minimum).apply(null,arguments)},yy=t._MirrorPad=function(){return(yy=t._MirrorPad=t.asm.MirrorPad).apply(null,arguments)},by=t._Multiply=function(){return(by=t._Multiply=t.asm.Multiply).apply(null,arguments)},Cy=t._Neg=function(){return(Cy=t._Neg=t.asm.Neg).apply(null,arguments)},Sy=t._NonMaxSuppressionV3=function(){return(Sy=t._NonMaxSuppressionV3=t.asm.NonMaxSuppressionV3).apply(null,arguments)},wy=t._NonMaxSuppressionV4=function(){return(wy=t._NonMaxSuppressionV4=t.asm.NonMaxSuppressionV4).apply(null,arguments)},Iy=t._NonMaxSuppressionV5=function(){return(Iy=t._NonMaxSuppressionV5=t.asm.NonMaxSuppressionV5).apply(null,arguments)},vy=t._NotEqual=function(){return(vy=t._NotEqual=t.asm.NotEqual).apply(null,arguments)},ky=t._OneHot=function(){return(ky=t._OneHot=t.asm.OneHot).apply(null,arguments)},Ny=t._PadV2=function(){return(Ny=t._PadV2=t.asm.PadV2).apply(null,arguments)},Ty=t._Pow=function(){return(Ty=t._Pow=t.asm.Pow).apply(null,arguments)},_y=t._Prelu=function(){return(_y=t._Prelu=t.asm.Prelu).apply(null,arguments)},$y=t._Prod=function(){return($y=t._Prod=t.asm.Prod).apply(null,arguments)},Ey=t._RealDiv=function(){return(Ey=t._RealDiv=t.asm.RealDiv).apply(null,arguments)},Ay=t._Reciprocal=function(){return(Ay=t._Reciprocal=t.asm.Reciprocal).apply(null,arguments)},Ry=t._Relu=function(){return(Ry=t._Relu=t.asm.Relu).apply(null,arguments)},Dy=t._Relu6=function(){return(Dy=t._Relu6=t.asm.Relu6).apply(null,arguments)},Fy=t._ResizeBilinear=function(){return(Fy=t._ResizeBilinear=t.asm.ResizeBilinear).apply(null,arguments)},Oy=t._ResizeNearestNeighbor=function(){return(Oy=t._ResizeNearestNeighbor=t.asm.ResizeNearestNeighbor).apply(null,arguments)},Py=t._Reverse=function(){return(Py=t._Reverse=t.asm.Reverse).apply(null,arguments)},My=t._RotateWithOffset=function(){return(My=t._RotateWithOffset=t.asm.RotateWithOffset).apply(null,arguments)},Ly=t._Round=function(){return(Ly=t._Round=t.asm.Round).apply(null,arguments)},By=t._Rsqrt=function(){return(By=t._Rsqrt=t.asm.Rsqrt).apply(null,arguments)},Vy=t._ScatterNd=function(){return(Vy=t._ScatterNd=t.asm.ScatterNd).apply(null,arguments)},zy=t._SelectV2=function(){return(zy=t._SelectV2=t.asm.SelectV2).apply(null,arguments)},Wy=t._Sigmoid=function(){return(Wy=t._Sigmoid=t.asm.Sigmoid).apply(null,arguments)},Uy=t._Sin=function(){return(Uy=t._Sin=t.asm.Sin).apply(null,arguments)},Gy=t._Softmax=function(){return(Gy=t._Softmax=t.asm.Softmax).apply(null,arguments)},Hy=t._SparseFillEmptyRows=function(){return(Hy=t._SparseFillEmptyRows=t.asm.SparseFillEmptyRows).apply(null,arguments)},Ky=t._SparseReshape=function(){return(Ky=t._SparseReshape=t.asm.SparseReshape).apply(null,arguments)},qy=t._SparseSegmentReduction=function(){return(qy=t._SparseSegmentReduction=t.asm.SparseSegmentReduction).apply(null,arguments)},jy=t._Sqrt=function(){return(jy=t._Sqrt=t.asm.Sqrt).apply(null,arguments)},Xy=t._Square=function(){return(Xy=t._Square=t.asm.Square).apply(null,arguments)},Yy=t._SquaredDifference=function(){return(Yy=t._SquaredDifference=t.asm.SquaredDifference).apply(null,arguments)},Qy=t._Step=function(){return(Qy=t._Step=t.asm.Step).apply(null,arguments)},Zy=t._StridedSlice=function(){return(Zy=t._StridedSlice=t.asm.StridedSlice).apply(null,arguments)},Jy=t._Sub=function(){return(Jy=t._Sub=t.asm.Sub).apply(null,arguments)},eb=t._Sum=function(){return(eb=t._Sum=t.asm.Sum).apply(null,arguments)},tb=t._Tan=function(){return(tb=t._Tan=t.asm.Tan).apply(null,arguments)},rb=t._Tanh=function(){return(rb=t._Tanh=t.asm.Tanh).apply(null,arguments)},ob=t._Tile=function(){return(ob=t._Tile=t.asm.Tile).apply(null,arguments)},nb=t._TopK=function(){return(nb=t._TopK=t.asm.TopK).apply(null,arguments)},sb=t._Transform=function(){return(sb=t._Transform=t.asm.Transform).apply(null,arguments)},ab=t._Transpose=function(){return(ab=t._Transpose=t.asm.Transpose).apply(null,arguments)},ib=t.__FusedMatMul=function(){return(ib=t.__FusedMatMul=t.asm._FusedMatMul).apply(null,arguments)},ub=t._malloc=function(){return(ub=t._malloc=t.asm.malloc).apply(null,arguments)},pb=t._free=function(){return(pb=t._free=t.asm.free).apply(null,arguments)},cb=t.___errno_location=function(){return(cb=t.___errno_location=t.asm.__errno_location).apply(null,arguments)},mm=t.stackSave=function(){return(mm=t.stackSave=t.asm.stackSave).apply(null,arguments)},dm=t.stackRestore=function(){return(dm=t.stackRestore=t.asm.stackRestore).apply(null,arguments)},Vc=t.stackAlloc=function(){return(Vc=t.stackAlloc=t.asm.stackAlloc).apply(null,arguments)},lb=t.dynCall_iijjiiii=function(){return(lb=t.dynCall_iijjiiii=t.asm.dynCall_iijjiiii).apply(null,arguments)},mb=t.dynCall_jiji=function(){return(mb=t.dynCall_jiji=t.asm.dynCall_jiji).apply(null,arguments)};t.cwrap=Mx;var rp;rr=function G(){rp||fm(),rp||(rr=G)};function fm(G){if(G=G||i,Nt>0||(ft(),Nt>0))return;function se(){rp||(rp=!0,t.calledRun=!0,!M&&(ht(),o(t),t.onRuntimeInitialized&&t.onRuntimeInitialized(),Rr()))}t.setStatus?(t.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){t.setStatus(\"\")},1),se()},1)):se()}if(t.preInit)for(typeof t.preInit==\"function\"&&(t.preInit=[t.preInit]);t.preInit.length>0;)t.preInit.pop()();fm();var op;s&&(op={uncaughtException:process.listeners(\"uncaughtException\").filter(function(G){return!s.uncaughtException.indexOf(G)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(G){return!s.unhandledRejection.indexOf(G)>-1})});var np;if(typeof e!=\"undefined\")np=e;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")np=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(op){var db=np._dispose;np._dispose=function(){db(),op.uncaughtException.forEach(function(G){process.removeListener(\"uncaughtException\",G)}),op.unhandledRejection.forEach(function(G){process.removeListener(\"unhandledRejection\",G)})}}return e.ready}})();typeof Ig==\"object\"&&typeof uI==\"object\"?uI.exports=iI:typeof define==\"function\"&&define.amd?define([],function(){return iI}):typeof Ig==\"object\"&&(Ig.WasmBackendModule=iI)});var Fo=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},Zr=class{refCount(e){return Fr(\"refCount\")}incRef(e){return Fr(\"incRef\")}timerAvailable(){return!0}time(e){return Fr(\"time\")}read(e){return Fr(\"read\")}readSync(e){return Fr(\"readSync\")}readToGPU(e,t){return Fr(\"readToGPU\")}numDataIds(){return Fr(\"numDataIds\")}disposeData(e,t){return Fr(\"disposeData\")}write(e,t,o){return Fr(\"write\")}move(e,t,o,n,s){return Fr(\"move\")}createTensorFromGPUData(e,t,o){return Fr(\"createTensorFromGPUData\")}memory(){return Fr(\"memory\")}floatPrecision(){return Fr(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Fr(\"dispose\")}};function Fr(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function UI(r){let e=r.length,t=0;for(;e>0;)t=Math.random()*e|0,e--,Im(r,e,t)}function WV(r,e){if(r.length!==e.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${e.length}`);let t=r.length,o=0;for(;t>0;)o=Math.random()*t|0,t--,Im(r,t,o),Im(e,t,o)}function ip(r,e,t){return Math.max(r,Math.min(e,t))}function UV(r){return r%2===0?r:r+1}function Im(r,e,t){let o=r[e];r[e]=r[t],r[t]=o}function GV(r){let e=0;for(let t=0;tt+` Shapes ${r} and ${e} must match`)}function Jr(r){$(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function We(r){if(r.length===0)return 1;let e=r[0];for(let t=1;t0,t,o){return new Promise((n,s)=>{let a=0,i=()=>{if(r()){n();return}a++;let p=e(a);if(t!=null&&a>=t){s();return}o!=null?o(i,p):setTimeout(i,p)};i()})}function ZV(r,e){let t=1,o=-1;for(let s=0;s=0)t*=r[s];else if(r[s]===-1){if(o!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${o} and dim ${s}`);o=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(o===-1){if(e>0&&e!==t)throw Error(`Size(${e}) must match the product of shape ${r}`);return r}if(t===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(e%t!==0)throw Error(`The implicit shape can't be a fractional number. Got ${e} / ${t}`);let n=r.slice();return n[o]=e/t,n}function Ja(r,e){let t=e.length;return r=r==null?e.map((o,n)=>n):[].concat(r),$(r.every(o=>o>=-t&&o`All values in axis param must be in range [-${t}, ${t}) but got axis ${r}`),$(r.every(o=>sa(o)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(o=>o<0?t+o:o)}function bb(r,e){let t=[],o=[],n=e!=null&&Array.isArray(e)&&e.length===0,s=e==null||n?null:Ja(e,r).sort(),a=0;for(let i=0;ii)&&r[i]===1&&(t.push(r[i]),o.push(i)),s[a]<=i&&a++}r[i]!==1&&(t.push(r[i]),o.push(i))}return{newShape:t,keptDims:o}}function Cb(r,e){let t=null;if(r==null||r===\"float32\")t=new Float32Array(e);else if(r===\"int32\")t=new Int32Array(e);else if(r===\"bool\")t=new Uint8Array(e);else throw new Error(`Unknown data type ${r}`);return t}function Sb(r,e){let t=null;if(r==null||r===\"float32\")t=new Float32Array(e);else if(r===\"int32\")t=new Int32Array(e);else if(r===\"bool\")t=new Uint8Array(e);else if(r===\"string\")t=new Array(e);else throw new Error(`Unknown data type ${r}`);return t}function wb(r,e){for(let t=0;te+=t.length),e}function Oo(r){return typeof r==\"string\"||r instanceof String}function GI(r){return typeof r==\"boolean\"}function HI(r){return typeof r==\"number\"}function pp(r){return Array.isArray(r)?pp(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":HI(r)?\"float32\":Oo(r)?\"string\":GI(r)?\"bool\":\"float32\"}function gs(r){return!!(r&&r.constructor&&r.call&&r.apply)}function cp(r,e){for(let t=e;t=0;--o)t[o]=t[o+1]*r[o+1];return t}function KI(r,e,t,o=!1){let n=new Array;if(e.length===1){let s=e[0]*(o?2:1);for(let a=0;ap*u)*(o?2:1);for(let p=0;pn*s)*(t?2:1);if(o===0)return[];if(o!==e.length)throw new Error(`[${r}] does not match the input size ${e.length}${t?\" for a complex tensor\":\"\"}.`);return KI(0,r,e,t)}function ez(r,e){if(Array.isArray(r))return r;if(e===\"float32\")return r instanceof Float32Array?r:new Float32Array(r);if(e===\"int32\")return r instanceof Int32Array?r:new Int32Array(r);if(e===\"bool\"||e===\"string\")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${e}`)}function Wc(r,e){let t=lp(r,e);for(let o=0;oo*n,1);if(e==null||e===\"float32\")return Xi(r,new Float32Array(t));if(e===\"int32\")return Xi(r,new Int32Array(t));if(e===\"bool\")return Xi(r,new Uint8Array(t));throw new Error(`Unknown data type ${e}`)}function bt(r){r.forEach(e=>{$(Number.isInteger(e)&&e>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function rz(r,e,t){if(e===0)return 0;if(e===1)return r[0];let o=r[r.length-1];for(let n=0;n{let[n,s]=o.split(\":\");this.urlFlags[n]=iz(n,s)})}};function sz(r){let e={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(t,...o)=>(az(e,o[0],o[1]),o.join(\"=\"))),e}function az(r,e,t){r[decodeURIComponent(e)]=decodeURIComponent(t||\"\")}function iz(r,e){if(e=e.toLowerCase(),e===\"true\"||e===\"false\")return e===\"true\";if(`${+e}`===e)return+e;throw new Error(`Could not parse value flag value ${e} for flag ${r}.`)}function O(){return kb}var kb=null;function jI(r){kb=r}var Nb;function Tb(){if(Nb==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");Nb=r}return Nb}function uz(){let r=Tb();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Gc(r,e){let t=uz();if(t.has(r))return t.get(r);{let o=e();return t.set(r,o),t.get(r)}}var ys=\"Abs\",aa=\"Acos\",ia=\"Acosh\",eo=\"Add\",Po=\"AddN\",Mo=\"All\",Lo=\"Any\",Bo=\"ArgMax\",ei=\"ArgMin\",ua=\"Asin\",pa=\"Asinh\",ca=\"Atan\",la=\"Atanh\",ma=\"Atan2\",Vo=\"AvgPool\",mp=\"AvgPoolGrad\",dp=\"AvgPool3D\",vm=\"AvgPool3DGrad\",zo=\"BatchMatMul\",bs=\"BatchToSpaceND\",ti=\"Bincount\",ise=\"BroadcastTo\",fp=\"BroadcastArgs\",co=\"Cast\",Wo=\"Ceil\",lo=\"ClipByValue\",ri=\"Complex\",hp=\"ComplexAbs\",Cs=\"Concat\",Uo=\"Conv2D\",oi=\"Conv2DBackpropFilter\",Go=\"Conv2DBackpropInput\",gp=\"Conv3D\",km=\"Conv3DBackpropFilterV2\",xp=\"Conv3DBackpropInputV2\",Ho=\"Cos\",Ko=\"Cosh\",qo=\"Cumprod\",jo=\"Cumsum\",Xo=\"CropAndResize\",ni=\"DenseBincount\",Yo=\"DepthToSpace\",Qo=\"DepthwiseConv2dNative\",yp=\"DepthwiseConv2dNativeBackpropFilter\",bp=\"DepthwiseConv2dNativeBackpropInput\",si=\"Diag\",ai=\"Dilation2D\",_b=\"Dilation2DBackpropInput\",$b=\"Dilation2DBackpropFilter\",Zo=\"RealDiv\",ii=\"Einsum\",Jo=\"Elu\",Nm=\"EluGrad\",da=\"Erf\",en=\"Equal\",tn=\"Exp\",Ss=\"ExpandDims\",fa=\"Expm1\",ui=\"FFT\",ws=\"Fill\",rn=\"FlipLeftRight\",on=\"Floor\",nn=\"FloorDiv\",sn=\"FusedBatchNorm\",Is=\"GatherV2\",an=\"GatherNd\",un=\"Greater\",pn=\"GreaterEqual\",mo=\"Identity\",pi=\"IFFT\",ci=\"Imag\",ha=\"IsFinite\",ga=\"IsInf\",cn=\"IsNan\",ln=\"LeakyRelu\",mn=\"Less\",dn=\"LessEqual\",li=\"LinSpace\",fn=\"Log\",xa=\"Log1p\",hn=\"LogicalAnd\",gn=\"LogicalNot\",xn=\"LogicalOr\",XI=\"LogicalXor\",use=\"LogSoftmax\",pse=\"LowerBound\",mi=\"LRN\",Tm=\"LRNGrad\",yn=\"Max\",bn=\"Maximum\",Cn=\"MaxPool\",_m=\"MaxPoolGrad\",Cp=\"MaxPool3D\",$m=\"MaxPool3DGrad\",Sp=\"MaxPoolWithArgmax\",Sn=\"Mean\",wn=\"Min\",In=\"Minimum\",vn=\"MirrorPad\",ya=\"Mod\",wp=\"Multinomial\",kn=\"Multiply\",vs=\"Neg\",Nn=\"NotEqual\",Tn=\"NonMaxSuppressionV3\",ba=\"NonMaxSuppressionV4\",_n=\"NonMaxSuppressionV5\",ks=\"OnesLike\",$n=\"OneHot\",Ns=\"Pack\",En=\"PadV2\",cse=\"Pool\",An=\"Pow\",Rn=\"Prelu\",Dn=\"Prod\",Ip=\"RaggedGather\",vp=\"RaggedRange\",kp=\"RaggedTensorToTensor\",Ts=\"Range\",di=\"Real\",Fn=\"Reciprocal\",On=\"Relu\",_s=\"Reshape\",Pn=\"ResizeNearestNeighbor\",Em=\"ResizeNearestNeighborGrad\",Mn=\"ResizeBilinear\",Am=\"ResizeBilinearGrad\",Ln=\"Relu6\",Bn=\"Reverse\",Vn=\"Round\",zn=\"Rsqrt\",Wn=\"ScatterNd\",fi=\"SearchSorted\",$s=\"Select\",Ca=\"Selu\",Es=\"Slice\",Un=\"Sin\",Sa=\"Sinh\",wa=\"Sign\",Gn=\"Sigmoid\",Ia=\"Softplus\",Hn=\"Sqrt\",Kn=\"Sum\",As=\"SpaceToBatchND\",Rs=\"SplitV\",qn=\"Softmax\",hi=\"SparseFillEmptyRows\",va=\"SparseReshape\",gi=\"SparseSegmentMean\",xi=\"SparseSegmentSum\",yi=\"SparseToDense\",jn=\"SquaredDifference\",bi=\"Square\",Xn=\"StridedSlice\",Ds=\"StringNGrams\",Ci=\"StringSplit\",Si=\"StringToHashBucketFast\",Yn=\"Sub\",Qn=\"Tan\",Zn=\"Tanh\",to=\"Tile\",Jn=\"TopK\",es=\"Transform\",ro=\"Transpose\",Np=\"Unique\",Fs=\"Unpack\",Tp=\"UnsortedSegmentSum\",lse=\"UpperBound\",Os=\"ZerosLike\",fo=\"Step\",Zi=\"FromPixels\",ts=\"RotateWithOffset\",ho=\"_FusedMatMul\",go=\"FusedConv2D\",xo=\"FusedDepthwiseConv2D\";function Ps(...r){O().getBool(\"IS_TEST\")||O().getBool(\"PROD\")||console.warn(...r)}function pz(...r){O().getBool(\"IS_TEST\")||O().getBool(\"PROD\")||console.log(...r)}var _p=Gc(\"kernelRegistry\",()=>new Map),Hc=Gc(\"gradRegistry\",()=>new Map);function Kc(r,e){let t=Ab(r,e);return _p.get(t)}function Eb(r){return Hc.get(r)}function Rm(r){let e=_p.entries(),t=[];for(;;){let{done:o,value:n}=e.next();if(o)break;let[s,a]=n,[i]=s.split(\"_\");i===r&&t.push(a)}return t}function ka(r){let{kernelName:e,backendName:t}=r,o=Ab(e,t);_p.has(o)&&Ps(`The kernel '${e}' for backend '${t}' is already registered`),_p.set(o,r)}function gse(r){let{kernelName:e}=r;Hc.has(e)&&O().getBool(\"DEBUG\")&&Ps(`Overriding the gradient for '${e}'`),Hc.set(e,r)}function xse(r,e){let t=Ab(r,e);if(!_p.has(t))throw new Error(`The kernel '${r}' for backend '${e}' is not registered`);_p.delete(t)}function yse(r){if(!Hc.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Hc.delete(r)}function bse(r,e){Rm(r).forEach(o=>{let n=Object.assign({},o,{backendName:e});ka(n)})}function Ab(r,e){return`${e}_${r}`}var y={};Ge(y,{arraysEqual:()=>Or,assert:()=>$,assertNonNegativeIntegerDimensions:()=>bt,assertNonNull:()=>Jr,assertShapesMatch:()=>gt,bytesFromStringArray:()=>vb,bytesPerElement:()=>up,checkConversionForErrors:()=>wb,clamp:()=>ip,computeStrides:()=>xs,convertBackendValuesAndArrayBuffer:()=>ez,createScalarValue:()=>gz,createShuffledIndices:()=>YV,decodeString:()=>Rp,distSquared:()=>KV,encodeString:()=>Ii,fetch:()=>yz,fingerPrint64:()=>hz,flatten:()=>os,getArrayFromDType:()=>Sb,getTypedArrayFromDType:()=>Cb,hasEncodingLoss:()=>JV,hexToLong:()=>qc,indexToLoc:()=>oz,inferDtype:()=>pp,inferFromImplicitShape:()=>ZV,isBoolean:()=>GI,isFunction:()=>gs,isInt:()=>sa,isNumber:()=>HI,isPromise:()=>Qi,isScalarShape:()=>qV,isString:()=>Oo,isTypedArray:()=>Bt,isValidDtype:()=>Ib,locToIndex:()=>rz,makeOnesTypedArray:()=>Wc,makeZerosNestedTypedArray:()=>tz,makeZerosTypedArray:()=>lp,nearestDivisor:()=>cp,nearestLargerEven:()=>UV,now:()=>ou,parseAxisParam:()=>Ja,randUniform:()=>HV,repeatedTry:()=>QV,rightPad:()=>Yi,shuffle:()=>UI,shuffleCombo:()=>WV,sizeFromShape:()=>We,sizeToSquarishShape:()=>XV,squeezeShape:()=>bb,sum:()=>GV,swap:()=>Im,tanh:()=>jV,toNestedArray:()=>Xi,toTypedArray:()=>Ap});var Ob=ap(i0());var ru=Ob.default||Ob;function qc(r){return ru.fromString(r,!0,16)}var p0=qc(\"c3a5c85c97cb3127\"),tu=qc(\"b492b66fbe98f273\"),gr=qc(\"9ae16a3b2f90404f\");function Fb(r){return r.xor(r.shru(47))}function c0(r,e,t){let o=r.slice(e,e+t);return ru.fromBytes(Array.from(o),!0,!0)}function Ct(r,e){return c0(r,e,8)}function u0(r,e){return c0(r,e,4)}function jt(r,e){return e===0?r:r.shru(e).or(r.shl(64-e))}function wi(r,e,t=qc(\"9ddfea08eb382d69\")){let o=r.xor(e).mul(t);o=o.xor(o.shru(47));let n=e.xor(o).mul(t);return n=n.xor(n.shru(47)),n=n.mul(t),n}function lz(r,e,t,o,n,s){n=n.add(r),s=jt(s.add(n).add(o),21);let a=n;return n=n.add(e),n=n.add(t),s=s.add(jt(n,44)),[n.add(o),s.add(a)]}function Fm(r,e,t,o){return lz(Ct(r,e),Ct(r,e+8),Ct(r,e+16),Ct(r,e+24),t,o)}function mz(r,e=r.length){if(e>=8){let t=gr.add(e*2),o=Ct(r,0).add(gr),n=Ct(r,e-8),s=jt(n,37).mul(t).add(o),a=jt(o,25).add(n).mul(t);return wi(s,a,t)}if(e>=4){let t=gr.add(e*2),o=u0(r,0);return wi(o.shl(3).add(e),u0(r,e-4),t)}if(e>0){let t=r[0],o=r[e>>1],n=r[e-1],s=t+(o<<8),a=e+(n<<2);return Fb(gr.mul(s).xor(p0.mul(a))).mul(gr)}return gr}function dz(r,e=r.length){let t=gr.add(e*2),o=Ct(r,0).mul(tu),n=Ct(r,8),s=Ct(r,e-8).mul(t),a=Ct(r,e-16).mul(gr);return wi(jt(o.add(n),43).add(jt(s,30)).add(a),o.add(jt(n.add(gr),18)).add(s),t)}function fz(r,e=r.length){let t=gr.add(e*2),o=Ct(r,0).mul(gr),n=Ct(r,8),s=Ct(r,e-8).mul(t),a=Ct(r,e-16).mul(gr),i=jt(o.add(n),43).add(jt(s,30)).add(a),p=wi(i,o.add(jt(n.add(gr),18)).add(s),t),u=Ct(r,16).mul(t),c=Ct(r,24),l=i.add(Ct(r,e-32)).mul(t),m=p.add(Ct(r,e-24)).mul(t);return wi(jt(u.add(c),43).add(jt(l,30)).add(m),u.add(jt(c.add(o),18)).add(l),t)}function hz(r,e=r.length){let t=ru.fromNumber(81,!0);if(e<=32)return e<=16?mz(r,e):dz(r,e);if(e<=64)return fz(r,e);let o=t,n=t.mul(tu).add(113),s=Fb(n.mul(gr).add(113)).mul(gr),a=[ru.UZERO,ru.UZERO],i=[ru.UZERO,ru.UZERO];o=o.mul(gr).add(Ct(r,0));let p=0,u=(e-1>>6)*64,c=u+(e-1&63)-63;do o=jt(o.add(n).add(a[0]).add(Ct(r,p+8)),37).mul(tu),n=jt(n.add(a[1]).add(Ct(r,p+48)),42).mul(tu),o=o.xor(i[1]),n=n.add(a[0]).add(Ct(r,p+40)),s=jt(s.add(i[0]),33).mul(tu),a=Fm(r,p,a[1].mul(tu),o.add(i[0])),i=Fm(r,p+32,s.add(i[1]),n.add(Ct(r,p+16))),[s,o]=[o,s],p+=64;while(p!==u);let l=tu.add(s.and(255).shl(1));return p=c,i[0]=i[0].add(e-1&63),a[0]=a[0].add(i[0]),i[0]=i[0].add(a[0]),o=jt(o.add(n).add(a[0]).add(Ct(r,p+8)),37).mul(l),n=jt(n.add(a[1]).add(Ct(r,p+48)),42).mul(l),o=o.xor(i[1].mul(9)),n=n.add(a[0].mul(9).add(Ct(r,p+40))),s=jt(s.add(i[0]),33).mul(l),a=Fm(r,p,a[1].mul(l),o.add(i[0])),i=Fm(r,p+32,s.add(i[1]),n.add(Ct(r,p+16))),[s,o]=[o,s],wi(wi(a[0],i[0],l).add(Fb(n).mul(p0)).add(s),wi(a[1],i[1],l).add(o),l)}function gz(r,e){return e===\"string\"?Ii(r):Ap([r],e)}function xz(r,e){return r instanceof Float32Array&&e===\"float32\"||r instanceof Int32Array&&e===\"int32\"||r instanceof Uint8Array&&e===\"bool\"}function Ap(r,e){if(e===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=os(r)),O().getBool(\"DEBUG\")&&wb(r,e),xz(r,e))return r;if(e==null||e===\"float32\"||e===\"complex64\")return new Float32Array(r);if(e===\"int32\")return new Int32Array(r);if(e===\"bool\"){let t=new Uint8Array(r.length);for(let o=0;o{n=o()},a,i=ou();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(s);else{s();for(let u of n)u.dataSync();a=Promise.resolve({kernelMs:ou()-i})}if(O().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let u=0;u{bz(l,c.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:a.then(u=>u.kernelMs),extraInfo:a.then(u=>u.getExtraProfileInfo!=null?u.getExtraProfileInfo():\"\")}}logKernelProfile(e){let{kernelName:t,outputs:o,timeMs:n,inputs:s,extraInfo:a}=e;o.forEach(i=>{Promise.all([i.data(),n,a]).then(p=>{this.logger.logKernelProfile(t,i,p[0],p[1],s,p[2])})})}};function bz(r,e,t){if(e!==\"float32\")return!1;for(let o=0;o0?h:\"\"} `}}console.log(`%c${p}\t%c${i}\t%c${u}D ${l}\t%c${c}\t%c${m}\t%c${a}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function l0(r,e,t){let o={},n={};for(let p=0;po[h.id]=!0),d=!0,n[u.id]=!0;break}if(d)break}}let s={};s[t.id]=!0;let a={};for(let p=r.length-1;p>=0;p--){let u=r[p],c=u.inputs;for(let l=0;l=0;n--){let s=e[n],a=[];if(s.outputs.forEach(p=>{let u=r[p.id];u!=null?a.push(u):a.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let i=s.gradient(a);for(let p in s.inputs){if(!(p in i))throw new Error(`Cannot backprop through input ${p}. Available gradients found: ${Object.keys(i)}.`);let u=t(()=>i[p]());if(u.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${p} must have 'float32' dtype, but has '${u.dtype}'`);let c=s.inputs[p];if(!Or(u.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${p}' has shape '${u.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=u;else{let l=r[c.id];r[c.id]=o(l,u),l.dispose()}}}}var d0=20,jc=3,Mb=7;function f0(r,e,t,o){let n=xs(e),s=Cz(r,e,t,n),a=e.length,i=Pm(r,e,t,n,s),p=[\"Tensor\"];return o&&(p.push(` dtype: ${t}`),p.push(` rank: ${a}`),p.push(` shape: [${e}]`),p.push(\" values:\")),p.push(i.map(u=>\" \"+u).join(`\n`)),p.join(`\n`)}function Cz(r,e,t,o){let n=We(e),s=o[o.length-1],a=new Array(s).fill(0),i=e.length,p=t===\"complex64\"?Yc(r):r;if(i>1)for(let u=0;ud0){let g=jc*a,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((i-jc)*a,i*a));return t===\"complex64\"&&(x=Yc(x),b=Yc(b)),[\"[\"+x.map((C,w)=>Xc(C,n[w],t)).join(\", \")+\", ..., \"+b.map((C,w)=>Xc(C,n[i-jc+w],t)).join(\", \")+\"]\"]}return[\"[\"+(t===\"complex64\"?Yc(r):Array.from(r)).map((g,x)=>Xc(g,n[x],t)).join(\", \")+\"]\"]}let u=e.slice(1),c=o.slice(1),l=o[0]*a,m=[];if(i>d0){for(let h=0;h0?m[0]+d:\"\");for(let h=1;h`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=o||Sb(t,this.size),this.strides=xs(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let o=this.locToIndex(t);this.values[o]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let s=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(s)}t++}let o=e[e.length-1];for(let n=0;nRp(o))}catch(o){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return e}dataToGPU(e){return this.throwIfDisposed(),ns().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=ns().readSync(this.dataId);if(this.dtype===\"string\")try{return e.map(t=>Rp(t))}catch(t){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return e}async bytes(){this.throwIfDisposed();let e=await ns().read(this.dataId);return this.dtype===\"string\"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ns().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(e=!1){return Dp.print(this,e)}clone(){return this.throwIfDisposed(),Dp.clone(this)}toString(e=!1){let t=this.dataSync();return f0(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Dp.cast(this,e)}variable(e=!0,t,o){return this.throwIfDisposed(),ns().makeVariable(this,e,t,o)}};Object.defineProperty(it,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function wz(){return Gc(\"Tensor\",()=>it)}wz();var Na=class extends it{constructor(e,t,o,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=o}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Or(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);ns().disposeTensor(this),this.dataId=e.dataId,ns().incRef(this,null)}dispose(){ns().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Na,Symbol.hasInstance,{value:r=>r instanceof it&&r.assign!=null&&r.assign instanceof Function});var C0={};Ge(C0,{assertTypesMatch:()=>Ub,getTensorsInContainer:()=>Qc,isTensorInList:()=>vz,makeTypesMatch:()=>De});var Lb;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(Lb||(Lb={}));var Bb;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(Bb||(Bb={}));var Vb;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(Vb||(Vb={}));var zb;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(zb||(zb={}));var Wb;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(Wb||(Wb={}));var Iz={float32:zb,int32:Bb,bool:Vb,complex64:Wb};function dt(r,e){if(r===\"string\"||e===\"string\"){if(r===\"string\"&&e===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${e}`)}return Iz[r][e]}function Ta(r){return dt(r,\"int32\")}function De(r,e){if(r.dtype===e.dtype)return[r,e];let t=dt(r.dtype,e.dtype);return[r.cast(t),e.cast(t)]}function Ub(r,e){$(r.dtype===e.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${e.dtype}) input must match`)}function vz(r,e){return e.some(t=>t.id===r.id)}function Qc(r){let e=[];return b0(r,e,new Set),e}function b0(r,e,t){if(r==null)return;if(r instanceof it){e.push(r);return}if(!kz(r))return;let o=r;for(let n in o){let s=o[n];t.has(s)||(t.add(s),b0(s,e,t))}}function kz(r){return Array.isArray(r)||typeof r==\"object\"}function Gb(r){return r.kernelName!=null}var Mm=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},vi=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Mm}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Rm(e).forEach(o=>{o.disposeFunc!=null&&o.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let o=t.factory();if(o&&!(o instanceof Zr)&&typeof o.then==\"function\"){let n=++this.pendingBackendInitId,s=o.then(a=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(o),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),n))}scopedRun(e,t,o){e();try{let n=o();return t(),n}catch(n){throw t(),n}}nextTensorId(){return vi.nextTensorId++}nextVariableId(){return vi.nextVariableId++}clone(e){let t=T.runKernel(mo,{x:e}),o={x:e},n=a=>({x:()=>{let i=\"float32\",p={x:a},u={dtype:i};return T.runKernel(co,p,u)}}),s=[];return this.addTapeNode(this.state.activeScope.name,o,[t],n,s,{}),t}runKernel(e,t,o){if(this.backendName==null&&this.backend,!(Kc(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:o})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(e,t,o){let n=this.backend.numDataIds(),s=0;o.forEach(p=>{s+=p.dtype===\"complex64\"?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,o=[],n=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let p,u=Gb(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(Gb(e)){let{kernelName:f,inputs:h,attrs:g}=e;this.backendName==null&&this.backend;let x=Kc(f,this.backendName);$(x!=null,()=>`Cannot find registered kernel '${f}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();p=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let C=Array.isArray(p)?p:[p];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(f,b,C);let w=C.map(k=>k.rank!=null?k:this.makeTensorFromTensorInfo(k));if(n){let k=this.getTensorsForGradient(f,h,w);o=this.saveTensorsForBackwardMode(k)}return w}}else{let{forwardFunc:f}=e,h=g=>{n&&(o=g.map(x=>this.keep(this.clone(x))))};i=()=>{let g=this.backend.numDataIds();p=this.tidy(()=>f(this.backend,h));let x=Array.isArray(p)?p:[p];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(u,g,x),x}}let{inputs:c,attrs:l}=e,m=Gb(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(u,c,()=>i()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(u,c,t,m,o,l),this.state.profiling&&this.state.activeProfile.kernels.push({name:u,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(f=>c[f]!=null?c[f].shape:null),outputShapes:t.map(f=>f.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(p)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(o=>this.keep(this.clone(o)))}getTensorsForGradient(e,t,o){let n=Eb(e);if(n!=null){let s=n.inputsToSave||[],a=n.outputsToSave||[],i;n.saveAllInputs?($(Array.isArray(t),()=>\"saveAllInputs is true, expected inputs to be an array.\"),i=Object.keys(t).map(u=>t[u])):i=s.map(u=>t[u]);let p=o.filter((u,c)=>a[c]);return i.concat(p)}return[]}makeTensor(e,t,o,n){if(e==null)throw new Error(\"Values passed to engine.makeTensor() are null\");o=o||\"float32\",n=n||this.backend;let s=e;o===\"string\"&&Oo(e[0])&&(s=e.map(p=>Ii(p)));let a=n.write(s,t,o),i=new it(t,o,a,this.nextTensorId());if(this.trackTensor(i,n),o===\"string\"){let p=this.state.tensorInfo.get(a),u=vb(s);this.state.numBytes+=u-p.bytes,p.bytes=u}return i}makeTensorFromDataId(e,t,o,n){o=o||\"float32\";let s={dataId:e,shape:t,dtype:o};return this.makeTensorFromTensorInfo(s,n)}makeTensorFromTensorInfo(e,t){let{dataId:o,shape:n,dtype:s}=e,a=new it(n,s,o,this.nextTensorId());return this.trackTensor(a,t),a}makeVariable(e,t=!0,o,n){o=o||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let s=new Na(e,t,o,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(e,t){this.state.numTensors++,e.dtype===\"string\"&&this.state.numStringTensors++;let o=0;e.dtype!==\"complex64\"&&e.dtype!==\"string\"&&(o=e.size*up(e.dtype)),this.state.numBytes+=o,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o})),e instanceof Na||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!==\"complex64\"&&e.dtype!==\"string\"){let o=e.size*up(e.dtype);this.state.numBytes-=o}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,o=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-o;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,o,n,s,a){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:o,saved:s},p=Eb(e);p!=null&&(n=p.gradFunc),n!=null&&(i.gradient=u=>(u=u.map((c,l)=>{if(c==null){let m=o[l],d=lp(m.size,m.dtype);return this.makeTensor(d,m.shape,m.dtype)}return c}),n(u.length>1?u:u[0],s,a))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Qc(e),o=new Set(t.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===n.id&&this.track(s)})}gradients(e,t,o,n=!1){if($(t.length>0,()=>\"gradients() received an empty list of xs.\"),o!=null&&o.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${o.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",e));$(s instanceof it,()=>\"The result y returned by f() must be a tensor.\");let a=l0(this.state.activeTape,t,s);if(!n&&a.length===0&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let i={};i[s.id]=o==null?Nz(s.shape):o,m0(i,a,u=>this.tidy(u),Tz);let p=t.map(u=>i[u.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(u=>{for(let c of u.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:p}})}customGrad(e){return $(gs(e),()=>\"The f passed in customGrad(f) must be a function.\"),(...t)=>{$(t.every(i=>i instanceof it),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let o,n={};t.forEach((i,p)=>{n[p]=i});let s=(i,p)=>(o=e(...t,p),$(o.value instanceof it,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),$(gs(o.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),o.value),a=(i,p)=>{let u=o.gradFunc(i,p),c=Array.isArray(u)?u:[u];$(c.length===t.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),$(c.every(m=>m instanceof it),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let l={};return c.forEach((m,d)=>{l[d]=()=>m}),l};return this.runKernelFunc({forwardFunc:s,backwardsFunc:a,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=ou(),o=await this.backend.time(e);return o.wallMs=ou()-t,o}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Mm;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};vi.nextTensorId=0;vi.nextVariableId=0;function Nz(r){let e=Wc(We(r),\"float32\");return T.makeTensor(e,r,\"float32\")}function Hb(){let r=Tb();if(r._tfengine==null){let e=new Uc(r);r._tfengine=new vi(e)}return jI(r._tfengine.ENV),g0(()=>r._tfengine),r._tfengine}var T=Hb();function Tz(r,e){let t={a:r,b:e};return T.runKernel(eo,t)}var ki={};Ge(ki,{isBrowser:()=>qb,isMobile:()=>Ez,mockIsMobile:()=>$z});function _z(){return typeof navigator!=\"undefined\"&&navigator!=null}var Kb;function $z(r){Kb=r}function Ez(r){if(Kb!==void 0)return Kb;if(r||_z()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let e=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!e){let t=r;return t.userAgentData&&t.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(e.substr(0,4))}return!1}function qb(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var oo=O();oo.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});oo.registerFlag(\"IS_BROWSER\",()=>qb());oo.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");oo.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));oo.registerFlag(\"PROD\",()=>!1);oo.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>oo.getBool(\"DEBUG\"));oo.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);oo.registerFlag(\"IS_TEST\",()=>!1);oo.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>!0);oo.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);oo.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);oo.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function or(r,e){let t=r;if(Bt(r))return e===\"string\"?[]:[r.length];if(typeof r==\"object\"){if(\"texture\"in r){let s=r.channels||\"RGBA\";return[r.height,r.width*s.length]}else if(\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(e==null?4:up(e))]}if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(t)||Bt(t)&&e!==\"string\";)n.push(t.length),t=t[0];return Array.isArray(r)&&O().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&w0(r,n,[]),n}function w0(r,e,t){if(t=t||[],!Array.isArray(r)&&!Bt(r)){$(e.length===0,()=>`Element arr[${t.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${e[0]} elements`);return}$(e.length>0,()=>`Element arr[${t.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),$(r.length===e[0],()=>`Element arr[${t.join(\"][\")}] should have ${e[0]} elements, but has ${r.length} elements`);let o=e.slice(1);for(let n=0;n=0&&(n=o),S0(o,n,e,t),r==null||!Bt(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let p=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${e}' passed to '${t}' must be a Tensor or TensorLike, but got '${p}'`)}let s=or(r,n);!Bt(r)&&!Array.isArray(r)&&(r=[r]);let i=n!==\"string\"?Ap(r,n):os(r,[],!0);return T.makeTensor(i,s,n)}function _a(r,e,t,o=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${e} passed to ${t} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,a)=>v(s,`${e}[${a}]`,t,o))}var jb=\"__op\";function N(r){let e=Object.keys(r);if(e.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${e.length} keys.`);let t=e[0],o=r[t];t.endsWith(\"_\")&&(t=t.substring(0,t.length-1)),t=t+jb;let n=(...s)=>{T.startScope(t);try{let a=o(...s);return Qi(a)&&console.error(\"Cannot return a Promise inside of tidy.\"),T.endScope(a),a}catch(a){throw T.endScope(null),a}};return Object.defineProperty(n,\"name\",{value:t,configurable:!0}),n}function Az(r,e){let t=v(r,\"real\",\"complex\"),o=v(e,\"imag\",\"complex\");gt(t.shape,o.shape,`real and imag shapes, ${t.shape} and ${o.shape}, must match in call to tf.complex().`);let n={real:t,imag:o};return T.runKernel(ri,n)}var Tr=N({complex_:Az});function xr(r,e,t,o){if(o==null)o=pp(r);else if(o===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(typeof r==\"object\"&&(\"texture\"in r||\"buffer\"in r&&!(r.buffer instanceof ArrayBuffer))){if(o!==\"float32\"&&o!==\"int32\")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${o}.`);return T.backend.createTensorFromGPUData(r,e||t,o)}if(!Bt(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(e!=null){bt(e);let n=We(e),s=We(t);$(n===s,()=>`Based on the provided shape, [${e}], the tensor should have ${n} values but has ${s}`);for(let a=0;a`Error creating a new Tensor. Inferred shape (${t}) does not match the provided shape (${e}). `)}}return!Bt(r)&&!Array.isArray(r)&&(r=[r]),e=e||t,r=o!==\"string\"?Ap(r,o):os(r,[],!0),T.makeTensor(r,e,o)}function nr(r,e,t){let o=or(r,t);return xr(r,e,o,t)}var Zc={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Lm=4;async function v0(r,e){let t=[],o=[],n=Array.isArray(r)?r.map(a=>a.name):Object.keys(r);for(let a=0;a{let m=await p.bytes(),d=m.reduce((g,x)=>g+x.length,0)+Lm*m.length,f=new Uint8Array(d),h=0;for(let g=0;g{if(e+=s.byteLength,t.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let o=new Uint8Array(e),n=0;return t.forEach(s=>{o.set(new Uint8Array(s.buffer),n),n+=s.byteLength}),o.buffer}var Xb=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function I0(r){return Xb?Buffer.byteLength(r):new Blob([r]).size}function k0(r){if(Xb)return Buffer.from(r).toString(\"base64\");let e=new Uint8Array(r),t=\"\";for(let o=0,n=e.length;o{e+=n.byteLength});let t=new Uint8Array(e),o=0;return r.forEach(n=>{t.set(new Uint8Array(n),o),o+=n.byteLength}),t.buffer}function Yb(r){let e=\"/\";for(r=r.trim();r.endsWith(e);)r=r.slice(0,r.length-1);let t=r.split(e);return t[t.length-1]}function Vm(r,e){let t={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:e};return r.signature!=null&&(t.signature=r.signature),r.userDefinedMetadata!=null&&(t.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(t.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(t.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(t.trainingConfig=r.trainingConfig),t}function Qb(r,e,t){let o={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(o.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!e)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!t)throw new Error(\"modelJSON has weightsManifest but weightData is null\");o.weightSpecs=e,o.weightData=t}return r.signature!=null&&(o.signature=r.signature),r.userDefinedMetadata!=null&&(o.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(o.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(o.initializerSignature=r.initializerSignature),o}async function Op(r,e){let t,o;return r.weightsManifest!=null&&([t,o]=await e(r.weightsManifest)),Qb(r,t,o)}function Ms(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:I0(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:I0(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function zm(r){let e=[];for(let t of r)e.push(...t.weights);return e}function Dz(){let r=t=>{let o=t<<13,n=0;for(;!(o&8388608);)n-=8388608,o<<=1;return o&=-8388609,n+=947912704,o|n},e=new Uint32Array(2048);e[0]=0;for(let t=1;t<1024;t++)e[t]=r(t);for(let t=1024;t<2048;t++)e[t]=939524096+(t-1024<<13);return e}function Fz(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let e=1;e<31;e++)r[e]=e<<23;for(let e=33;e<63;e++)r[e]=2147483648+(e-32<<23);return r}function Oz(){let r=new Uint32Array(64);for(let e=0;e<64;e++)r[e]=1024;return r[0]=r[32]=0,r}function Pz(){let r=Dz(),e=Fz(),t=Oz();return o=>{let n=new ArrayBuffer(4*o.length),s=new Uint32Array(n);for(let a=0;a>10]+(i&1023)]+e[i>>10];s[a]=p}return new Float32Array(n)}}var mt=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return mt.instance==null&&(mt.instance=new mt),mt.instance}static registerSaveRouter(e){mt.getInstance().saveRouters.push(e)}static registerLoadRouter(e){mt.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return mt.getHandlers(e,\"save\")}static getLoadHandlers(e,t){return mt.getHandlers(e,\"load\",t)}static getHandlers(e,t,o){let n=[];return(t===\"load\"?mt.getInstance().loadRouters:mt.getInstance().saveRouters).forEach(a=>{let i=a(e,o);i!==null&&n.push(i)}),n}},T0=r=>mt.registerSaveRouter(r),_0=r=>mt.registerLoadRouter(r),$0=r=>mt.getSaveHandlers(r),E0=(r,e)=>mt.getLoadHandlers(r,e);var Zb=\"tensorflowjs\",Jb=1,nu=\"models_store\",Ni=\"model_info_store\";function A0(){if(!O().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,e=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(e==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return e}function eC(r){let e=r.result;e.createObjectStore(nu,{keyPath:\"modelPath\"}),e.createObjectStore(Ni,{keyPath:\"modelPath\"})}var Ls=class{constructor(e){if(this.indexedDB=A0(),e==null||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((o,n)=>{let s=this.indexedDB.open(Zb,Jb);s.onupgradeneeded=()=>eC(s),s.onsuccess=()=>{let a=s.result;if(t==null){let i=a.transaction(nu,\"readonly\"),u=i.objectStore(nu).get(this.modelPath);u.onsuccess=()=>{if(u.result==null)return a.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));o(u.result.modelArtifacts)},u.onerror=c=>(a.close(),n(u.error)),i.oncomplete=()=>a.close()}else{let i=Ms(t),p=a.transaction(Ni,\"readwrite\"),u=p.objectStore(Ni),c=u.put({modelPath:this.modelPath,modelArtifactsInfo:i}),l;c.onsuccess=()=>{l=a.transaction(nu,\"readwrite\");let d=l.objectStore(nu).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>o({modelArtifactsInfo:i}),d.onerror=f=>{u=p.objectStore(Ni);let h=u.delete(this.modelPath);h.onsuccess=()=>(a.close(),n(d.error)),h.onerror=g=>(a.close(),n(d.error))}},c.onerror=m=>(a.close(),n(c.error)),p.oncomplete=()=>{l==null?a.close():l.oncomplete=()=>a.close()}}},s.onerror=a=>n(s.error)})}};Ls.URL_SCHEME=\"indexeddb://\";var R0=r=>O().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ls.URL_SCHEME)?Mz(r.slice(Ls.URL_SCHEME.length)):null;mt.registerSaveRouter(R0);mt.registerLoadRouter(R0);function Mz(r){return new Ls(r)}function Lz(r){return r.startsWith(Ls.URL_SCHEME)?r.slice(Ls.URL_SCHEME.length):r}var Wm=class{constructor(){this.indexedDB=A0()}async listModels(){return new Promise((e,t)=>{let o=this.indexedDB.open(Zb,Jb);o.onupgradeneeded=()=>eC(o),o.onsuccess=()=>{let n=o.result,s=n.transaction(Ni,\"readonly\"),i=s.objectStore(Ni).getAll();i.onsuccess=()=>{let p={};for(let u of i.result)p[u.modelPath]=u.modelArtifactsInfo;e(p)},i.onerror=p=>(n.close(),t(i.error)),s.oncomplete=()=>n.close()},o.onerror=n=>t(o.error)})}async removeModel(e){return e=Lz(e),new Promise((t,o)=>{let n=this.indexedDB.open(Zb,Jb);n.onupgradeneeded=()=>eC(n),n.onsuccess=()=>{let s=n.result,a=s.transaction(Ni,\"readwrite\"),i=a.objectStore(Ni),p=i.get(e),u;p.onsuccess=()=>{if(p.result==null)return s.close(),o(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let c=i.delete(e),l=()=>{u=s.transaction(nu,\"readwrite\");let d=u.objectStore(nu).delete(e);d.onsuccess=()=>t(p.result.modelArtifactsInfo),d.onerror=f=>o(p.error)};c.onsuccess=l,c.onerror=m=>(l(),s.close(),o(p.error))}},p.onerror=c=>(s.close(),o(p.error)),a.oncomplete=()=>{u==null?s.close():u.oncomplete=()=>s.close()}},n.onerror=s=>o(n.error)})}};var $a=\"/\",Pp=\"tensorflowjs_models\",D0=\"info\",Bz=\"model_topology\",Vz=\"weight_specs\",zz=\"weight_data\",Wz=\"model_metadata\";function F0(r){return{info:[Pp,r,D0].join($a),topology:[Pp,r,Bz].join($a),weightSpecs:[Pp,r,Vz].join($a),weightData:[Pp,r,zz].join($a),modelMetadata:[Pp,r,Wz].join($a)}}function O0(r){for(let e of Object.values(r))window.localStorage.removeItem(e)}function Uz(r){let e=r.split($a);if(e.length<3)throw new Error(`Invalid key format: ${r}`);return e.slice(1,e.length-1).join($a)}function Gz(r){return r.startsWith(Bs.URL_SCHEME)?r.slice(Bs.URL_SCHEME.length):r}var Bs=class{constructor(e){if(!O().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,e==null||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=F0(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let t=JSON.stringify(e.modelTopology),o=JSON.stringify(e.weightSpecs),n=Ms(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,o),this.LS.setItem(this.keys.weightData,k0(e.weightData));let s={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:n}}catch(s){throw O0(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let t={},o=JSON.parse(this.LS.getItem(this.keys.topology));if(o==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=o;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let i=JSON.parse(s);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let a=this.LS.getItem(this.keys.weightData);if(a==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=N0(a),t}};Bs.URL_SCHEME=\"localstorage://\";var P0=r=>O().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Bs.URL_SCHEME)?Hz(r.slice(Bs.URL_SCHEME.length)):null;mt.registerSaveRouter(P0);mt.registerLoadRouter(P0);function Hz(r){return new Bs(r)}var Um=class{constructor(){$(O().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),$(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let e={},t=Pp+$a,o=$a+D0;for(let n=0;n\"scheme must not be undefined or null.\"),e.endsWith(Mp)&&(e=e.slice(0,e.indexOf(Mp))),$(e.length>0,()=>\"scheme must not be an empty string.\");let o=Xt.getInstance();$(o.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),o.managers[e]=t}static getManager(e){let t=Xt.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Xt.getInstance().managers)}};function Gm(r){if(r.indexOf(Mp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Xt.getSchemes().join(\",\")}`);return{scheme:r.split(Mp)[0],path:r.split(Mp)[1]}}async function M0(r,e,t=!1){$(r!==e,()=>`Old path and new path are the same: '${r}'`);let o=mt.getLoadHandlers(r);$(o.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),$(o.length<2,()=>`Copying failed because more than one (${o.length}) load handlers for source URL ${r}.`);let n=o[0],s=mt.getSaveHandlers(e);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${e}.`),$(s.length<2,()=>`Copying failed because more than one (${o.length}) save handlers for destination URL ${e}.`);let a=s[0],i=Gm(r).scheme,p=Gm(r).path,u=i===Gm(r).scheme,c=await n.load();t&&u&&await Xt.getManager(i).removeModel(p);let l=await a.save(c);return t&&!u&&await Xt.getManager(i).removeModel(p),l.modelArtifactsInfo}async function L0(){let r=Xt.getSchemes(),e={};for(let t of r){let o=await Xt.getManager(t).listModels();for(let n in o){let s=t+Mp+n;e[s]=o[n]}}return e}async function B0(r){let e=Gm(r);return Xt.getManager(e.scheme).removeModel(e.path)}async function V0(r,e){return M0(r,e,!1)}async function z0(r,e){return M0(r,e,!0)}var tC=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!==\"utf-8\"&&t!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window==\"undefined\"||!O().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",o=>{if(o.source===window&&o.data.name===this.messageName){o.stopPropagation();let n=this.functionRefs[o.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(O().get(\"IS_BROWSER\")){O().setPlatform(\"browser\",new tC);try{Xt.registerManager(Bs.URL_SCHEME,new Um)}catch(r){}try{Xt.registerManager(Ls.URL_SCHEME,new Wm)}catch(r){}}var Kz={importFetch:()=>W0()},rC;var oC=class{constructor(){this.util=U0(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return O().global.fetch!=null?O().global.fetch(e,t):(rC==null&&(rC=Kz.importFetch()),rC(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!==\"utf-8\"&&t!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?\"\":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};O().get(\"IS_NODE\")&&!O().get(\"IS_BROWSER\")&&O().setPlatform(\"node\",new oC);function le(r,e=\"float32\",t){return e=e||\"float32\",bt(r),new st(r,e,t)}function qz(r,e){let t=v(r,\"x\",\"cast\");if(!Ib(e))throw new Error(`Failed to cast to unknown dtype ${e}`);if(e===\"string\"&&t.dtype!==\"string\"||e!==\"string\"&&t.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let o={x:t},n={dtype:e};return T.runKernel(co,o,n)}var je=N({cast_:qz});function jz(r){let t={x:v(r,\"x\",\"clone\",\"string_or_numeric\")};return T.runKernel(mo,t)}var Lr=N({clone_:jz});function Hm(r,e=!1){console.log(r.toString(e))}Hb();var Xz={buffer:le,cast:je,clone:Lr,print:Hm};x0(Xz);function Iie(){O().set(\"PROD\",!0)}function vie(){O().set(\"DEBUG\",!0)}function kie(){O().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function nC(r){O().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}y0(nC);function Nie(){T.disposeVariables()}function sr(){return T}function Tie(){return T.memory()}function _ie(r){return T.profile(r)}function Ee(r,e){return T.tidy(r,e)}function Ot(r){Qc(r).forEach(t=>t.dispose())}function _r(r){return T.keep(r)}function $ie(r){return T.time(r)}function Eie(r){return T.setBackend(r)}function Aie(){return T.ready()}function Rie(){return T.backendName}function Die(r){T.removeBackend(r)}function Fie(r){return T.findBackend(r)}function Oie(r){return T.findBackendFactory(r)}function Ti(r,e,t=1){return T.registerBackend(r,e,t)}function Pie(){return T.backend}function Mie(r,e){O().setPlatform(r,e)}function Yz(r,e){let t=v(r,\"a\",\"add\"),o=v(e,\"b\",\"add\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(eo,n)}var be=N({add_:Yz});function Qz(r,e){let t=v(r,\"a\",\"floorDiv\"),o=v(e,\"b\",\"floorDiv\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(nn,n)}var Km=N({floorDiv_:Qz});function Zz(r,e){let t=v(r,\"a\",\"div\"),o=v(e,\"b\",\"div\");if([t,o]=De(t,o),t.dtype===\"int32\"&&o.dtype===\"int32\")return Km(t,o);let n={a:t,b:o},s={};return T.runKernel(Zo,n,s)}var He=N({div_:Zz});function Jz(r,e){let t=v(r,\"a\",\"mul\"),o=v(e,\"b\",\"mul\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(kn,n)}var ne=N({mul_:Jz});function eW(r){let e=v(r,\"x\",\"abs\");if(e.dtype===\"complex64\"){let t={x:e};return T.runKernel(hp,t)}else{let t={x:e};return T.runKernel(ys,t)}}var Yt=N({abs_:eW});function tW(r){let t={x:v(r,\"x\",\"acos\")};return T.runKernel(aa,t)}var G0=N({acos_:tW});function rW(r){let t={x:v(r,\"x\",\"acosh\")};return T.runKernel(ia,t)}var H0=N({acosh_:rW});function oW(r){$(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),$(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let e=r.map((n,s)=>v(n,`tensors${s}`,\"addN\")),t=e[0];e.forEach(n=>{if(n.dtype!==t.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),e.forEach(n=>{if(!Or(n.shape,t.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let o=e;return T.runKernel(Po,o)}var K0=N({addN_:oW});function nW(r,e=null,t=!1){let n={x:v(r,\"x\",\"all\",\"bool\")},s={axis:e,keepDims:t};return T.runKernel(Mo,n,s)}var q0=N({all_:nW});function sW(r,e=null,t=!1){let n={x:v(r,\"x\",\"any\",\"bool\")},s={axis:e,keepDims:t};return T.runKernel(Lo,n,s)}var j0=N({any_:sW});function aW(r,e=0){let o={x:v(r,\"x\",\"argMax\")},n={axis:e};return T.runKernel(Bo,o,n)}var X0=N({argMax_:aW});function iW(r,e=0){let o={x:v(r,\"x\",\"argMin\")},n={axis:e};return T.runKernel(ei,o,n)}var Y0=N({argMin_:iW});function uW(r){let t={x:v(r,\"x\",\"asin\")};return T.runKernel(ua,t)}var Q0=N({asin_:uW});function pW(r){let t={x:v(r,\"x\",\"asinh\")};return T.runKernel(pa,t)}var Z0=N({asinh_:pW});function cW(r){let t={x:v(r,\"x\",\"atan\")};return T.runKernel(ca,t)}var J0=N({atan_:cW});function lW(r,e){let t=v(r,\"a\",\"atan2\"),o=v(e,\"b\",\"atan2\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(ma,n)}var ev=N({atan2_:lW});function mW(r){let t={x:v(r,\"x\",\"atanh\")};return T.runKernel(la,t)}var tv=N({atanh_:mW});function dW(r,e,t,o,n=\"NHWC\",s){let a=r[3],i=[...e,a],p=ov(n);return au(r,i,t,s,o,null,null,p)}function aC(r,e,t,o,n,s,a=\"channelsLast\"){let[i,p]=Jc(e),u;if(a===\"channelsLast\")u=[i,p,r[3],r[3]];else if(a===\"channelsFirst\")u=[i,p,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return au(r,u,t,o,n,s,!1,a)}function fW(r,e,t,o,n,s,a=\"NDHWC\"){let[i,p,u]=sC(e),c,l;if(a===\"NDHWC\")l=\"channelsLast\",c=[i,p,u,r[4],r[4]];else if(a===\"NCDHW\")l=\"channelsFirst\",c=[i,p,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return rv(r,c,t,o,n,!1,l,s)}function au(r,e,t,o,n,s,a=!1,i=\"channelsLast\"){let[p,u,c,l]=[-1,-1,-1,-1];if(i===\"channelsLast\")[p,u,c,l]=r;else if(i===\"channelsFirst\")[p,l,u,c]=r;else throw new Error(`Unknown dataFormat ${i}`);let[m,d,,f]=e,[h,g]=Jc(t),[x,b]=Jc(o),C=Lp(m,x),w=Lp(d,b),{padInfo:k,outHeight:_,outWidth:E}=xW(n,u,c,h,g,C,w,s,i),A=a?f*l:f,R;return i===\"channelsFirst\"?R=[p,A,_,E]:i===\"channelsLast\"&&(R=[p,_,E,A]),{batchSize:p,dataFormat:i,inHeight:u,inWidth:c,inChannels:l,outHeight:_,outWidth:E,outChannels:A,padInfo:k,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:d,effectiveFilterHeight:C,effectiveFilterWidth:w,dilationHeight:x,dilationWidth:b,inShape:r,outShape:R,filterShape:e}}function rv(r,e,t,o,n,s=!1,a=\"channelsLast\",i){let[p,u,c,l,m]=[-1,-1,-1,-1,-1];if(a===\"channelsLast\")[p,u,c,l,m]=r;else if(a===\"channelsFirst\")[p,m,u,c,l]=r;else throw new Error(`Unknown dataFormat ${a}`);let[d,f,h,,g]=e,[x,b,C]=sC(t),[w,k,_]=sC(o),E=Lp(d,w),A=Lp(f,k),R=Lp(h,_),{padInfo:D,outDepth:P,outHeight:M,outWidth:L}=yW(n,u,c,l,x,b,C,E,A,R,i),V=s?g*m:g,z;return a===\"channelsFirst\"?z=[p,V,P,M,L]:a===\"channelsLast\"&&(z=[p,P,M,L,V]),{batchSize:p,dataFormat:a,inDepth:u,inHeight:c,inWidth:l,inChannels:m,outDepth:P,outHeight:M,outWidth:L,outChannels:V,padInfo:D,strideDepth:x,strideHeight:b,strideWidth:C,filterDepth:d,filterHeight:f,filterWidth:h,effectiveFilterDepth:E,effectiveFilterHeight:A,effectiveFilterWidth:R,dilationDepth:w,dilationHeight:k,dilationWidth:_,inShape:r,outShape:z,filterShape:e}}function hW(r,e,t,o,n){o==null&&(o=iC(r,e,t));let s=r[0],a=r[1],i=el((s-e+2*o)/t+1,n),p=el((a-e+2*o)/t+1,n);return[i,p]}function gW(r,e,t,o,n,s){n==null&&(n=iC(r,e[0],o[0]));let a=[0,0,0,t];for(let i=0;i<3;i++)r[i]+2*n>=e[i]&&(a[i]=el((r[i]-e[i]+2*n)/o[i]+1,s));return a}function iC(r,e,t,o=1){let n=Lp(e,o);return Math.floor((r[0]*(t-1)-t+n)/2)}function Jc(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function sC(r){return typeof r==\"number\"?[r,r,r]:r}function Lp(r,e){return e<=1?r:r+(r-1)*(e-1)}function xW(r,e,t,o,n,s,a,i,p){let u,c,l;if(typeof r==\"number\"){u={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let d=hW([e,t],s,o,r,i);c=d[0],l=d[1]}else if(r===\"same\"){c=Math.ceil(e/o),l=Math.ceil(t/n);let m=Math.max(0,(c-1)*o+s-e),d=Math.max(0,(l-1)*n+a-t),f=Math.floor(m/2),h=m-f,g=Math.floor(d/2),x=d-g;u={top:f,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((e-s+1)/o),l=Math.ceil((t-a+1)/n);else if(typeof r==\"object\"){let m=p===\"channelsLast\"?r[1][0]:r[2][0],d=p===\"channelsLast\"?r[1][1]:r[2][1],f=p===\"channelsLast\"?r[2][0]:r[3][0],h=p===\"channelsLast\"?r[2][1]:r[3][1];u={top:m,bottom:d,left:f,right:h,type:m===0&&d===0&&f===0&&h===0?\"VALID\":\"EXPLICIT\"},c=el((e-s+m+d)/o+1,i),l=el((t-a+f+h)/n+1,i)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:u,outHeight:c,outWidth:l}}function yW(r,e,t,o,n,s,a,i,p,u,c){let l,m,d,f;if(r===\"valid\"&&(r=0),typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=gW([e,t,o,1],[i,p,u],1,[n,s,a],r,c);m=g[0],d=g[1],f=g[2]}else if(r===\"same\"){m=Math.ceil(e/n),d=Math.ceil(t/s),f=Math.ceil(o/a);let h=(m-1)*n+i-e,g=(d-1)*s+p-t,x=(f-1)*a+u-o,b=Math.floor(h/2),C=h-b,w=Math.floor(g/2),k=g-w,_=Math.floor(x/2),E=x-_;l={top:w,bottom:k,left:_,right:E,front:b,back:C,type:\"SAME\"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outDepth:m,outHeight:d,outWidth:f}}function el(r,e){if(!e)return Math.trunc(r);switch(e){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${e}`)}}function su(r){let[e,t,o]=Jc(r);return e===1&&t===1&&o===1}function mr(r,e){return su(r)||su(e)}function Vs(r){return Jc(r).every(e=>e>0)}function ov(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function Mt(r,e,t){if(t!=null){if(typeof e==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);if(typeof e==\"number\")$(sa(e),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);else if(typeof e==\"object\")e.forEach(o=>{o.forEach(n=>{$(sa(n),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${n}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${e}`)}}function bW(r,e){let o={x:v(r,\"x\",\"reshape\",\"string_or_numeric\")},n={shape:e};return T.runKernel(_s,o,n)}var W=N({reshape_:bW});function CW(r,e,t,o,n){let s=v(r,\"x\",\"avgPool\",\"float32\"),a=1;$(mr(t,a),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`);let i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${i.rank}.`),Mt(\"avgPool\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Vo,u,c);return l=je(l,s.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var qm=N({avgPool_:CW});function SW(r,e,t,o,n,s=\"NDHWC\"){let a=v(r,\"x\",\"avgPool3d\",\"float32\"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),$(typeof t==\"number\"&&t>0||Array.isArray(t)&&t[0]>0&&t[1]>0&&t[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${t}'`),Mt(\"avgPool3d\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(dp,u,c);return l=je(l,i.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var nv=N({avgPool3d_:SW});function wW(r,e=0){$(r.length>=1,()=>\"Pass at least one tensor to concat\");let t=_a(r,\"tensors\",\"concat\",\"string_or_numeric\");if(t[0].dtype===\"complex64\"&&t.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),t.length===1)return Lr(t[0]);let o=t,n={axis:e};return T.runKernel(Cs,o,n)}var xt=N({concat_:wW});function IW(r,e,t=!1,o=!1){let n=v(r,\"a\",\"matMul\"),s=v(e,\"b\",\"matMul\");[n,s]=De(n,s);let a={a:n,b:s},i={transposeA:t,transposeB:o};return T.runKernel(zo,a,i)}var Xe=N({matMul_:IW});function vW(r){let t={x:v(r,\"x\",\"sigmoid\",\"float32\")};return T.runKernel(Gn,t)}var Ws=N({sigmoid_:vW});function kW(r,e,t){let o=v(r,\"x\",\"slice\",\"string_or_numeric\");if(o.rank===0)throw new Error(\"Slicing scalar is not possible\");let n={x:o},s={begin:e,size:t};return T.runKernel(Es,n,s)}var Ke=N({slice_:kW});function NW(r){let t={x:v(r,\"x\",\"tanh\",\"float32\")};return T.runKernel(Zn,t)}var tl=N({tanh_:NW});function TW(r,e,t,o,n,s){let a=v(r,\"forgetBias\",\"basicLSTMCell\"),i=v(e,\"lstmKernel\",\"basicLSTMCell\"),p=v(t,\"lstmBias\",\"basicLSTMCell\"),u=v(o,\"data\",\"basicLSTMCell\"),c=v(n,\"c\",\"basicLSTMCell\"),l=v(s,\"h\",\"basicLSTMCell\"),m=xt([u,l],1),d=Xe(m,i),f=be(d,p),h=f.shape[0],g=f.shape[1]/4,x=[h,g],b=Ke(f,[0,0],x),C=Ke(f,[0,g],x),w=Ke(f,[0,g*2],x),k=Ke(f,[0,g*3],x),_=be(ne(Ws(b),tl(C)),ne(c,Ws(be(a,w)))),E=ne(tl(_),Ws(k));return[_,E]}var sv=N({basicLSTMCell_:TW});function _W(r,e,t){let o=v(r,\"x\",\"batchToSpaceND\"),n=e.reduce((i,p)=>i*p);$(o.rank>=1+e.length,()=>`input rank is ${o.rank} but should be > than blockShape.length ${e.length}`),$(t.length===e.length,()=>`crops.length is ${t.length} but should be equal to blockShape.length ${e.length}`),$(o.shape[0]%n===0,()=>`input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(\" * \")} === ${n}`);let s={x:o},a={blockShape:e,crops:t};return T.runKernel(bs,s,a)}var jm=N({batchToSpaceND_:_W});function av(r){let e;return r.rank===0||r.rank===1?e=W(r,[1,1,1,r.size]):r.rank===2?e=W(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?e=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]):e=r,e}function $W(r,e,t,o,n,s){s==null&&(s=.001);let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(i.rank===p.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),$(c==null||i.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),$(u==null||i.rank===u.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:av(a),scale:u,offset:c,mean:i,variance:p},d={varianceEpsilon:s},f=T.runKernel(sn,m,d);return W(f,a.shape)}var _i=N({batchNorm_:$W});function EW(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`),$(i.rank===2||i.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`),$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var iv=N({batchNorm2d_:EW});function AW(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`),$(i.rank===3||i.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`),$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var uv=N({batchNorm3d_:AW});function RW(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),$(i.rank===4||i.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`),$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var pv=N({batchNorm4d_:RW});function DW(r,e,t){let o=v(r,\"x\",\"bincount\"),n=v(e,\"weights\",\"bincount\");$(o.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${o.dtype}`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(n.size===o.size||n.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${o.shape}, weights shape: ${n.shape}.`);let s={x:o,weights:n},a={size:t};return T.runKernel(ti,s,a)}var Xm=N({bincount_:DW});function FW(r,e){let t=v(r,\"s0\",\"broadcastArgs\",\"int32\"),o=v(e,\"s1\",\"broadcastArgs\",\"int32\");if(t.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${t.rank}`);if(o.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${o.rank}`);let n={s0:t,s1:o};return T.runKernel(fp,n)}var cv=N({broadcastArgs_:FW});function OW(r,e){let t=v(r,\"broadcastTo\",\"x\"),o=t.shape;if(bt(e),e.lengtht.rank){let u=t.shape.slice();for(;u.length=0;u--)if(n[u]===e[u])s[u]=1;else if(t.shape[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${e}].`);if(s.map((u,c)=>u>1?c:-1).filter(u=>u>=0).length===0)return Lr(t);let i={x:t},p={reps:s};return T.runKernel(to,i,p)}var $i=N({broadcastTo_:OW});function PW(r){let t={x:v(r,\"x\",\"ceil\",\"float32\")};return T.runKernel(Wo,t)}var lv=N({ceil_:PW});function Us(r,e,t){bt(r);let o={shape:r,value:e,dtype:t};return T.runKernel(ws,{},o)}function MW(r,e,t){let o=v(r,\"x\",\"clipByValue\");if($(e<=t,()=>`Error in clip: min (${e}) must be less than or equal to max (${t}).`),e===t)return Us(o.shape,e,o.dtype);let n={x:o},s={clipValueMin:e,clipValueMax:t};return T.runKernel(lo,n,s)}var mv=N({clipByValue_:MW});function LW(r){return xt(r,0)}var dv=N({concat1d_:LW});function BW(r,e){return xt(r,e)}var fv=N({concat2d_:BW});function VW(r,e){return xt(r,e)}var hv=N({concat3d_:VW});function zW(r,e){return xt(r,e)}var gv=N({concat4d_:zW});function WW(r,e,t,o,n=\"NHWC\",s=[1,1],a){let i=v(r,\"x\",\"conv2d\",\"float32\"),p=v(e,\"filter\",\"conv2d\",\"float32\"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`),Mt(\"conv2d\",o,a);let l=n===\"NHWC\"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`),$(mr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(Vs(s),()=>\"Error in conv2D: Dilated rates should be larger than 0.\"),$(Vs(t),()=>\"Error in conv2D: Strides should be larger than 0.\");let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(Uo,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ei=N({conv2d_:WW});function UW(r,e,t,o,n=\"NWC\",s=1,a){let i=v(r,\"x\",\"conv1d\"),p=v(e,\"filter\",\"conv1d\"),u=i,c=!1;i.rank===2&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(p.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`),Mt(\"conv1d\",o,a),$(u.shape[2]===p.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`),$(mr(t,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${t} and dilation '${s}'`),$(Vs(s),()=>\"Error in conv1D: Dilated rates should be larger than 0.\"),$(Vs(t),()=>\"Error in conv1D: Stride should be larger than 0.\"),$(n===\"NWC\",()=>`Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`);let l=W(p,[1,p.shape[0],p.shape[1],p.shape[2]]),m=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),g=Ei(m,l,[1,t],o,\"NHWC\",[1,s],a);return c?W(g,[g.shape[2],g.shape[3]]):W(g,[g.shape[0],g.shape[2],g.shape[3]])}var xv=N({conv1d_:UW});function GW(r,e,t,o,n,s=\"NHWC\",a){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let i=r,p=e,u=!1;e.rank===3&&(u=!0,p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]),i=[1,r[0],r[1],r[2]]),$(i.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`),$(p.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${p.rank}`),$(t.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${t.rank}`);let c=s===\"NHWC\"?i[3]:i[1],l=s===\"NHWC\"?p.shape[3]:p.shape[1];$(c===t.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t.shape[2]}.`),$(l===t.shape[3],()=>`Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t.shape[3]}.`),Mt(\"conv2dDerInput\",n,a);let m={dy:p,filter:t},d={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,inputShape:i},f=T.runKernel(Go,m,d);return u?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ym=N({conv2DBackpropInput_:GW});function HW(r,e,t,o,n,s){let a=v(r,\"x\",\"conv2dTranspose\"),i=v(e,\"filter\",\"conv2dTranspose\");return Ym(t,a,i,o,n,\"NHWC\",s)}var yv=N({conv2dTranspose_:HW});function KW(r,e,t,o,n=\"NDHWC\",s=[1,1,1]){let a=v(r,\"x\",\"conv3d\"),i=v(e,\"filter\",\"conv3d\"),p=a,u=!1;a.rank===4&&(u=!0,p=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(p.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${p.rank}.`),$(i.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`),$(p.shape[4]===i.shape[3],()=>`Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`),$(mr(t,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(n===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`),$(Vs(s),()=>\"Error in conv3D: Dilated rates should be larger than 0.\"),$(Vs(t),()=>\"Error in conv3D: Strides should be larger than 0.\");let c={x:p,filter:i},l={strides:t,pad:o,dataFormat:n,dilations:s},m=T.runKernel(gp,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var bv=N({conv3d_:KW});function qW(r,e,t,o,n){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let s=r,a=e,i=!1;e.rank===4&&(i=!0,a=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let p=s[4],u=a.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(a.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${a.rank}`),$(t.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${t.rank}`),$(p===t.shape[3],()=>`Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${t.shape[3]}.`),$(u===t.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t.shape[4]}.`);let c={dy:a,filter:t},l={pad:n,strides:o,inputShape:s},m=T.runKernel(xp,c,l);return i?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Cv=N({conv3DBackpropInput_:qW});function jW(r,e,t,o,n){let s=v(r,\"x\",\"conv3dTranspose\"),a=v(e,\"filter\",\"conv3dTranspose\");return Cv(t,s,a,o,n)}var Sv=N({conv3dTranspose_:jW});function XW(r){let t={x:v(r,\"x\",\"cos\",\"float32\")};return T.runKernel(Ho,t)}var wv=N({cos_:XW});function YW(r){let t={x:v(r,\"x\",\"cosh\",\"float32\")};return T.runKernel(Ko,t)}var Iv=N({cosh_:YW});function QW(r,e=0,t=!1,o=!1){let s={x:v(r,\"x\",\"cumprod\")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(qo,s,a)}var vv=N({cumprod_:QW});function ZW(r,e=0,t=!1,o=!1){let s={x:v(r,\"x\",\"cumsum\")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(jo,s,a)}var kv=N({cumsum_:ZW});function JW(r,e,t,o=!1){let n=v(r,\"x\",\"denseBincount\"),s=v(e,\"weights\",\"denseBincount\");$(n.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${n.dtype}`),$(n.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${n.rank}.`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(s.size===n.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${n.shape}, weights shape: ${s.shape}.`);let a={x:n,weights:s},i={size:t,binaryOutput:o};return T.runKernel(ni,a,i)}var Nv=N({denseBincount_:JW});function eU(r,e,t=\"NHWC\"){let o=v(r,\"x\",\"depthToSpace\",\"float32\"),n=t===\"NHWC\"?o.shape[1]:o.shape[2],s=t===\"NHWC\"?o.shape[2]:o.shape[3],a=t===\"NHWC\"?o.shape[3]:o.shape[1];$(e>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${e}`),$(n*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${n} and ${e} for depthToSpace with input shape\n ${o.shape}`),$(s*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${e} for depthToSpace with input shape\n ${o.shape}`),$(a%(e*e)===0,()=>`Dimension size must be evenly divisible by ${e*e} but is ${a} for depthToSpace with input shape ${o.shape}`);let i={x:o},p={blockSize:e,dataFormat:t};return T.runKernel(Yo,i,p)}var Tv=N({depthToSpace_:eU});function tU(r,e,t,o,n=\"NHWC\",s=[1,1],a){let i=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),p=v(e,\"filter\",\"depthwiseConv2d\",\"float32\"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${p.rank}.`);let l=n===\"NHWC\"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`),Mt(\"depthwiseConv2d\",o,a);let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(Qo,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Bp=N({depthwiseConv2d_:tU});function rU(r){let t={x:v(r,\"x\",\"diag\")};return T.runKernel(si,t)}var _v=N({diag_:rU});function oU(r,e,t,o,n=[1,1],s=\"NHWC\"){let a=v(r,\"x\",\"dilation2d\"),i=v(e,\"filter\",\"dilation2d\");$(a.rank===3||a.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`),$(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),$(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let p=a,u=!1;a.rank===3&&(p=W(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0),$(p.shape[3]===i.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${p.shape[3]} vs ${i.shape[2]}`);let c={x:p,filter:i},l={strides:t,pad:o,dilations:n},m=T.runKernel(ai,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $v=N({dilation2d_:oU});var yr={};Ge(yr,{assertAndGetBroadcastShape:()=>Je,getBroadcastDims:()=>Ev,getReductionAxes:()=>Qm});function Ev(r,e){let t=r.length,o=[];for(let n=0;n1&&a===1&&o.unshift(s)}return o}function Qm(r,e){let t=[];for(let o=0;o1)&&t.unshift(s)}return t}function Je(r,e){let t=[],o=Math.max(r.length,e.length);for(let n=0;n`Error in dot: inputs must all be rank 1 or 2, but got ranks ${t.rank} and ${o.rank}.`);let n=t.rank===1?t.size:t.shape[1],s=o.rank===1?o.size:o.shape[0];if($(n===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${n} and ${s}.`),t.rank===1&&o.rank===1){let a=W(t,[1,-1]),i=W(o,[-1,1]),p=Xe(a,i);return W(p,[])}else if(t.rank===1&&o.rank===2){let a=W(t,[1,-1]),i=W(o,[o.shape[0],o.shape[1]]),p=Xe(a,i);return W(p,[p.size])}else if(t.rank===2&&o.rank===1){let a=W(o,[-1,1]),i=Xe(t,a);return W(i,[i.size])}else{let a=W(o,[o.shape[0],o.shape[1]]);return Xe(t,a)}}var Rv=N({dot_:uU});function pU(r,...e){let t=e.map((n,s)=>v(n,`tensors${s}`,\"einsum\")),o={equation:r};return T.runKernel(ii,t,o)}var Dv=N({einsum_:pU});function cU(r){let t={x:v(r,\"x\",\"elu\",\"float32\")};return T.runKernel(Jo,t)}var Jm=N({elu_:cU});function lU(r){let e=v(r,\"x\",\"erf\");$(e.dtype===\"int32\"||e.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),e.dtype===\"int32\"&&(e=je(e,\"float32\"));let t={x:e};return T.runKernel(da,t)}var Fv=N({erf_:lU});function uC(r,e){for(let t=0;tr[s]);return[t,n]}function Ea(r,e){let t=e.map(o=>1);return Ov(r,t,e)}function dU(r,e,t){$(uC(e,t),()=>`${r} supports only inner-most axes for now. Got axes ${e} and rank-${t} input.`)}function fU(r,e){if(uC(r,e))return null;let t=[];for(let o=0;ot.push(o)),t}function hU(r){return r.map((e,t)=>[t,e]).sort((e,t)=>e[1]-t[1]).map(e=>e[0])}function gU(r,e){let t=[];for(let o=e-r;o\"Axis must be <= rank of the tensor\");let o={input:t},n={dim:e};return T.runKernel(Ss,o,n)}var Ra=N({expandDims_:TU});function _U(r){let t={x:v(r,\"x\",\"expm1\")};return T.runKernel(fa,t)}var Lv=N({expm1_:_U});function $U(r,e){let t=v(r,\"x\",\"tile\",\"string_or_numeric\");$(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let o={x:t},n={reps:e};return T.runKernel(to,o,n)}var Ai=N({tile_:$U});function EU(r,e,t,o=\"float32\"){e==null&&(e=r);let n=le([r,e],o),s=r<=e?r:e;for(let i=0;i`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),$(sa(e),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`);let a=s,i=!1;s.rank===3&&(i=!0,a=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let p={x:a},u={depthRadius:e,bias:t,alpha:o,beta:n},c=T.runKernel(mi,p,u);return i?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Gv=N({localResponseNormalization_:WU});function UU(r){let t={x:v(r,\"x\",\"log\",\"float32\")};return T.runKernel(fn,t)}var Da=N({log_:UU});function GU(r){let t={x:v(r,\"x\",\"log1p\")};return T.runKernel(xa,t)}var sd=N({log1p_:GU});function HU(r){return $(gs(r),()=>\"The f passed in grad(f) must be a function\"),(e,t)=>{let o=v(e,\"x\",\"tf.grad\",\"string_or_numeric\"),n=t!=null?v(t,\"dy\",\"tf.grad\"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(o),[o],n);return n!=null&>(s.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),ad(a),a[0]})}}function KU(r){return $(gs(r),()=>\"The f passed in grads(f) must be a function\"),(e,t)=>{$(Array.isArray(e),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let o=_a(e,\"args\",\"tf.grads\",\"string_or_numeric\"),n=t!=null?v(t,\"dy\",\"tf.grads\"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(...o),o,n);return n!=null&>(s.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),ad(a),a})}}function qU(r){return $(gs(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(e,t)=>{$(e instanceof it,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),$(t==null||t instanceof it,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:o,value:n}=T.gradients(()=>r(e),[e],t);return ad(o),{grad:o[0],value:n}}}function jU(r){return $(gs(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(e,t)=>{$(Array.isArray(e)&&e.every(n=>n instanceof it),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),$(t==null||t instanceof it,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let o=T.gradients(()=>r(...e),e,t);return t!=null&>(o.value.shape,t.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),ad(o.grads),o}}function pC(r,e){$(gs(r),()=>\"The f passed in variableGrads(f) must be a function\"),$(e==null||Array.isArray(e)&&e.every(u=>u instanceof Na),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let t=e!=null;if(!t){e=[];for(let u in T.registeredVariables)e.push(T.registeredVariables[u])}let o=t?e.filter(u=>!u.trainable):null,n=e.length;e=e.filter(u=>u.trainable),$(e.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${n} variables is trainable.`);let s=!0,{value:a,grads:i}=T.gradients(r,e,null,s);$(i.some(u=>u!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),$(a.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${a.rank} tensor`);let p={};return e.forEach((u,c)=>{i[c]!=null&&(p[u.name]=i[c])}),o!=null&&o.forEach(u=>p[u.name]=null),{value:a,grads:p}}function br(r){return T.customGrad(r)}function ad(r){if(r.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function XU(r){let t={x:v(r,\"x\",\"neg\")};return T.runKernel(vs,t)}var Cr=N({neg_:XU});function YU(r){let t={x:v(r,\"x\",\"softplus\")};return T.runKernel(Ia,t)}var id=N({softplus_:YU});function QU(r){let e=v(r,\"x\",\"logSigmoid\");return br(o=>({value:Cr(id(Cr(o))),gradFunc:a=>ne(a,Ws(Cr(o)))}))(e)}var Hv=N({logSigmoid_:QU});function ZU(r,e){let t=v(r,\"a\",\"sub\"),o=v(e,\"b\",\"sub\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(Yn,n)}var ke=N({sub_:ZU});function JU(r,e=-1){let t=v(r,\"logits\",\"logSoftmax\");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and axis was ${e}`);return br((n,s)=>{let i=Gs(n,e,!0),p=ke(n,i),u=ke(je(p,\"float32\"),Da(et(So(p),e,!0)));return s([u]),{value:u,gradFunc:(l,m)=>{let[d]=m,f=!0,h=So(d);return ke(l,ne(et(l,e,f),h))}}})(t)}var Kv=N({logSoftmax_:JU});function e4(r,e=null,t=!1){let o=v(r,\"x\",\"logSumExp\"),n=Ja(e,o.shape),s=Gs(o,n,!0),a=ke(o,s),i=So(a),p=et(i,n),u=Da(p),c=be(W(s,u.shape),u);if(t){let l=Ea(c.shape,n);return W(c,l)}return c}var ud=N({logSumExp_:e4});function t4(r,e){let t=v(r,\"a\",\"logicalAnd\",\"bool\"),o=v(e,\"b\",\"logicalAnd\",\"bool\");Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(hn,n)}var pu=N({logicalAnd_:t4});function r4(r){let t={x:v(r,\"x\",\"logicalNot\",\"bool\")};return T.runKernel(gn,t)}var pd=N({logicalNot_:r4});function o4(r,e){let t=v(r,\"a\",\"logicalOr\",\"bool\"),o=v(e,\"b\",\"logicalOr\",\"bool\");Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(xn,n)}var cd=N({logicalOr_:o4});function n4(r,e){let t=v(r,\"a\",\"logicalXor\",\"bool\"),o=v(e,\"b\",\"logicalXor\",\"bool\");return Je(t.shape,o.shape),pu(cd(r,e),pd(pu(r,e)))}var qv=N({logicalXor_:n4});var ld=2147483648;function s4(r,e,t=\"left\"){let o=v(r,\"sortedSequence\",\"searchSorted\"),n=v(e,\"values\",\"searchSorted\"),s=o.shape[o.shape.length-1],a=n.shape[n.shape.length-1],i=W(o,[-1,s]),p=W(n,[-1,a]);if(i.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(i.shape[0]!==p.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(We(p.shape)>=ld)throw new Error(`values tensor size must less than ${ld}`);if(i.shape[1]>=ld)throw new Error(`trailing dim_size must less than ${ld} for int32 output type, was ${i.shape[1]}`);let u={sortedSequence:i,values:p},c={side:t};return T.runKernel(fi,u,c)}var ol=N({searchSorted_:s4});function jv(r,e){return ol(r,e,\"left\")}function a4(r,e,t,o,n){let s=v(r,\"x\",\"maxPool\"),a=1,i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${i.rank}.`),$(mr(t,a),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`),Mt(\"maxPool\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Cn,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var md=N({maxPool_:a4});function i4(r,e=[1,1,1],t,o,n,s=\"NDHWC\"){let a=v(r,\"x\",\"maxPool3d\"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Mt(\"maxPool3d\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(Cp,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var Xv=N({maxPool3d_:i4});function u4(r,e,t,o,n=!1){let a={x:v(r,\"x\",\"maxPoolWithArgmax\")},i={filterSize:e,strides:t,pad:o,includeBatchInIndex:n},p=T.runKernel(Sp,a,i);return{result:p[0],indexes:p[1]}}var Yv=N({maxPoolWithArgmax_:u4});function p4(r,e){let t=v(r,\"a\",\"maximum\"),o=v(e,\"b\",\"maximum\");[t,o]=De(t,o),t.dtype===\"bool\"&&(t=je(t,\"int32\"),o=je(o,\"int32\")),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(bn,n)}var dd=N({maximum_:p4});function c4(r,e=null,t=!1){let n={x:v(r,\"x\",\"mean\")},s={axis:e,keepDims:t};return T.runKernel(Sn,n,s)}var cu=N({mean_:c4});function Br(r,e=\"float32\"){if(bt(r),e===\"complex64\"){let o=Br(r,\"float32\"),n=Br(r,\"float32\");return Tr(o,n)}let t=lp(We(r),e);return T.makeTensor(t,r,e)}function Hs(r,e=\"float32\"){if(bt(r),e===\"complex64\"){let o=Hs(r,\"float32\"),n=Br(r,\"float32\");return Tr(o,n)}let t=Wc(We(r),e);return T.makeTensor(t,r,e)}function Qv(r,e,{indexing:t=\"xy\"}={}){if(t!==\"xy\"&&t!==\"ij\")throw new TypeError(`${t} is not a valid third argument to meshgrid`);if(r===void 0)return[];let o=v(r,\"x\",\"meshgrid\",r instanceof it?r.dtype:\"float32\");if(e===void 0)return[o];let n=v(e,\"y\",\"meshgrid\",e instanceof it?e.dtype:\"float32\"),s=We(o.shape),a=We(n.shape);return t===\"xy\"?(o=W(o,[1,-1]),n=W(n,[-1,1]),[Xe(Hs([a,1],o.dtype),o),Xe(n,Hs([1,s],n.dtype))]):(o=W(o,[-1,1]),n=W(n,[1,-1]),[Xe(o,Hs([1,a],o.dtype)),Xe(Hs([s,1],n.dtype),n)])}function l4(r,e){let t=v(r,\"a\",\"minimum\"),o=v(e,\"b\",\"minimum\");[t,o]=De(t,o),t.dtype===\"bool\"&&(t=je(t,\"int32\"),o=je(o,\"int32\")),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(In,n)}var fd=N({minimum_:l4});function m4(r,e,t){$(t===\"reflect\"||t===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${t}.`);let o=v(r,\"x\",\"mirrorPad\");if(o.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");$(e.length===o.rank,()=>`Padding doesn't match input. Must be ${o.rank}. Got ${e.length}.`);let n=t===\"reflect\"?1:0;for(let i=0;i\"Invalid number of paddings. Must be length of 2 each.\"),$(e[i][0]>=0&&e[i][0]<=o.shape[i]-n&&e[i][1]>=0&&e[i][1]<=o.shape[i]-n,()=>`Padding in dimension ${i} cannot be greater than or equal to ${o.shape[i]-n} or less than 0 for input of shape ${o.shape}`);let s={paddings:e,mode:t},a={x:o};return T.runKernel(vn,a,s)}var Zv=N({mirrorPad_:m4});function d4(r,e){let t=v(r,\"a\",\"mod\"),o=v(e,\"b\",\"mod\");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(ya,n)}var Jv=N({mod_:d4});function f4(r,e=null,t=!1){r=v(r,\"x\",\"moments\");let o=Ja(e,r.shape),n=cu(r,o,t),s=n.shape;t||(s=Ea(n.shape,o));let a=Qt(ke(je(r,\"float32\"),W(n,s))),i=cu(a,o,t);return{mean:n,variance:i}}var ek=N({moments_:f4});function h4(r,e,t,o){let n=v(e,\"data\",\"multiRNNCell\"),s=_a(t,\"c\",\"multiRNNCell\"),a=_a(o,\"h\",\"multiRNNCell\"),i=n,p=[];for(let l=0;l2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${a}`);t=t||Math.random();let p={logits:a===1?W(n,[1,-1]):n},u={numSamples:e,seed:t,normalized:o},c=T.runKernel(wp,p,u);return a===1?W(c,[c.size]):c}var rk=N({multinomial_:g4});function x4(r,e){let t=v(r,\"a\",\"notEqual\",\"string_or_numeric\"),o=v(e,\"b\",\"notEqual\",\"string_or_numeric\");[t,o]=De(t,o),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Nn,n)}var hd=N({notEqual_:x4});function y4(r,e,t=1,o=0,n=\"int32\"){if(e<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${e}`);let a={indices:v(r,\"indices\",\"oneHot\",\"int32\")},i={dtype:n,depth:e,onValue:t,offValue:o};return T.runKernel($n,a,i)}var nl=N({oneHot_:y4});function b4(r){let t={x:v(r,\"x\",\"onesLike\")};return T.runKernel(ks,t)}var ok=N({onesLike_:b4});function C4(r,e){let t=v(r,\"v1\",\"outerProduct\"),o=v(e,\"v2\",\"outerProduct\");$(t.rank===1&&o.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${t.rank} and ${o.rank}.`);let n=W(t,[-1,1]),s=W(o,[1,-1]);return Xe(n,s)}var nk=N({outerProduct_:C4});function S4(r,e,t=0){let o=v(r,\"x\",\"pad\");if(o.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let n={paddings:e,constantValue:t},s={x:o};return T.runKernel(En,s,n)}var Ks=N({pad_:S4});function w4(r,e,t=0){return $(e.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),Ks(r,[e],t)}var sk=N({pad1d_:w4});function I4(r,e,t=0){return $(e.length===2&&e[0].length===2&&e[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),Ks(r,e,t)}var ak=N({pad2d_:I4});function v4(r,e,t=0){return $(e.length===3&&e[0].length===2&&e[1].length===2&&e[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),Ks(r,e,t)}var ik=N({pad3d_:v4});function k4(r,e,t=0){return $(e.length===4&&e[0].length===2&&e[1].length===2&&e[2].length===2&&e[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),Ks(r,e,t)}var uk=N({pad4d_:k4});function N4(r,e,t){let o=v(r,\"x\",\"spaceToBatchND\");$(o.rank>=1+e.length,()=>`input rank ${o.rank} should be > than [blockShape] ${e.length}`),$(t.length===e.length,()=>`paddings.shape[0] ${t.length} must be equal to [blockShape] ${e.length}`),$(o.shape.reduce((a,i,p)=>p>0&&p<=e.length?a&&(i+t[p-1][0]+t[p-1][1])%e[p-1]===0:a,!0),()=>`input spatial dimensions ${o.shape.slice(1)} with paddings ${t.toString()} must be divisible by blockShapes ${e.toString()}`);let n={x:o},s={blockShape:e,paddings:t};return T.runKernel(As,n,s)}var gd=N({spaceToBatchND_:N4});function T4(r,e,t,o,n,s,a){n==null&&(n=[1,1]),s==null&&(s=1),o===0&&(o=\"valid\");let i=v(r,\"x\",\"maxPool\"),p=i,u=!1;i.rank===3&&(u=!0,p=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(mr(s,n),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`);let c=aC(p.shape,e,s,n,o),l=[c.dilationHeight,c.dilationWidth],m;o===\"same\"?m=$4([c.filterHeight,c.filterWidth],l):m=[[0,0],[0,0]];let d=l[0]===1&&l[1]===1,[f,h]=_4([c.inHeight,c.inWidth],l,m),g=d?o:\"valid\",x=d?p:gd(p,l,f),C=(t===\"avg\"?()=>qm(x,e,s,g,a):()=>md(x,e,s,g,a))(),w=d?C:jm(C,l,h);return u?W(w,[w.shape[1],w.shape[2],w.shape[3]]):w}function _4(r,e,t){let o=t.map(c=>c[0]),n=t.map(c=>c[1]),s=r.concat(o,n),a=e.map((c,l)=>(c-s[l]%c)%c),i=n.map((c,l)=>c+a[l]),p=e.map((c,l)=>[o[l],i[l]]),u=e.map((c,l)=>[0,a[l]]);return[p,u]}function $4(r,e){let o=r.map((a,i)=>a+(a-1)*(e[i]-1)).map(a=>a-1),n=o.map(a=>Math.floor(a/2)),s=o.map((a,i)=>a-n[i]);return o.map((a,i)=>[n[i],s[i]])}var pk=N({pool_:T4});function E4(r,e){let t=v(r,\"x\",\"prelu\"),o=v(e,\"alpha\",\"prelu\"),n={x:t,alpha:o};return T.runKernel(Rn,n)}var xd=N({prelu_:E4});function A4(r,e=null,t=!1){let o=v(r,\"x\",\"prod\");o.dtype===\"bool\"&&(o=je(o,\"int32\"));let n={x:o},s={axis:e,keepDims:t};return T.runKernel(Dn,n,s)}var ck=N({prod_:A4});function R4(r,e,t,o){let n=r.map((c,l)=>v(c,`tensors${l}`,\"raggedGather\",\"int32\")),s=v(e,\"paramsDenseValues\",\"raggedGather\"),a=v(t,\"indices\",\"raggedGather\",\"int32\"),i={paramsNestedSplits:n,paramsDenseValues:s,indices:a},p={outputRaggedRank:o},u=T.runKernel(Ip,i,p);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var lk=N({raggedGather_:R4});function D4(r,e,t){let o=v(r,\"starts\",\"raggedRange\"),n=v(e,\"limits\",\"raggedRange\",o.dtype),s=v(t,\"deltas\",\"raggedRange\",o.dtype),a={starts:o,limits:n,deltas:s},i=T.runKernel(vp,a);return{rtNestedSplits:i[0],rtDenseValues:i[1]}}var mk=N({raggedRange_:D4});function F4(r,e,t,o,n){let s=v(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),a=v(e,\"values\",\"raggedTensorToTensor\"),i=v(t,\"defaultValue\",\"raggedTensorToTensor\",a.dtype),p=o.map((l,m)=>v(l,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),u={shape:s,values:a,defaultValue:i,rowPartitionTensors:p},c={rowPartitionTypes:n};return T.runKernel(kp,u,c)}var dk=N({raggedTensorToTensor_:F4});function O4(r,e,t){bt(r);let o=We(r),n=null;if(t==null||t===\"float32\")n=new Float32Array(o);else if(t===\"int32\")n=new Int32Array(o);else if(t===\"bool\")n=new Uint8Array(o);else throw new Error(`Unknown data type ${t}`);for(let s=0;sAk,createVideoElement:()=>j4,encodeStrings:()=>Dk,expectArrayBuffersEqual:()=>q4,expectArraysClose:()=>U4,expectArraysEqual:()=>H4,expectNumbersClose:()=>Rk,expectPromiseToFail:()=>G4,expectValuesInRange:()=>K4,play:()=>X4,testEpsilon:()=>bd});var W4=.001,Ak=.1;function U4(r,e,t){return t==null&&(t=bd()),xC(r,e,(o,n)=>yC(o,n,t))}function bd(){return T.backend.floatPrecision()===32?W4:Ak}function xC(r,e,t){let o=!0;if((Bt(r)||Bt(e))&&(o=!1),Bt(r)&&Bt(e)&&(o=!0),o){let a=r.constructor.name,i=e.constructor.name;if(a!==i)throw new Error(`Arrays are of different type. Actual: ${a}. Expected: ${i}`)}if(Array.isArray(r)&&Array.isArray(e)){let a=or(r),i=or(e);if(!Or(a,i))throw new Error(`Arrays have different shapes. Actual: [${a}]. Expected: [${i}]`)}let n=Bt(r)?r:os(r),s=Bt(e)?e:os(e);if(n.length!==s.length)throw new Error(`Arrays have different lengths actual: ${n.length} vs expected: ${s.length}.\nActual: ${n}.\nExpected: ${s}.`);for(let a=0;ae.fail(),()=>e()),typeof expect!=\"undefined\"&&expect().nothing()}function H4(r,e){let t=typeof e==\"string\"||typeof e==\"number\"||typeof e==\"boolean\"?[e]:e;return Oo(r)||Oo(r[0])||Oo(e)||Oo(e[0])?xC(r,t,(o,n)=>o==n):xC(r,e,(o,n)=>yC(o,n,0))}function Rk(r,e,t){if(t==null&&(t=bd()),!yC(r,e,t))throw new Error(`Numbers differ: actual === ${r}, expected === ${e}`);typeof expect!=\"undefined\"&&expect().nothing()}function yC(r,e,t){return!isFinite(r)&&!isFinite(e)?!0:!(isNaN(r)||isNaN(e)||Math.abs(r-e)>t)}function K4(r,e,t){for(let o=0;ot)throw new Error(`Value out of range:${r[o]} low: ${e}, high: ${t}`)}function q4(r,e){let t=new Float32Array(r),o=new Float32Array(e);if(t.length!==o.length)throw new Error(`Expected ArrayBuffer to be of length ${o.length}, but it was ${t.length}`);for(let n=0;n{e.addEventListener(\"loadeddata\",o=>t(e)),e.load()})}async function X4(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(e=>{r.requestVideoFrameCallback(e)})}var mu=class{constructor(e,t,o,n,s){this.mean=e,this.stdDev=t,this.dtype=o,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let a=s||Math.random();this.random=wd.alea(a.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,o=!1;for(;!o;){let n,s,a;do n=2*this.random()-1,s=2*this.random()-1,a=n*n+s*s;while(a>=1||a===0);let i=Math.sqrt(-2*Math.log(a)/a);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*s*i,(!this.truncated||this.isValidTruncated(e))&&(o=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype===\"float32\"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},Cd=class{constructor(e,t,o,n){this.alpha=e,this.beta=1/t,this.dtype=o;let s=n||Math.random();this.randu=wd.alea(s.toString()),this.randn=new mu(0,1,o,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,o,n,s,a;for(;;){do n=this.randn.nextValue(),a=1+this.c*n;while(a<=0);if(a*=a*a,e=n*n,t=1-.331*e*e,o=.5*e+this.d*(1-a+Math.log(a)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=e,this.range=t-e,this.dtype=o,n==null&&(n=Math.random()),typeof n==\"number\"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=wd.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function Y4(r,e,t=1,o=\"float32\",n){if(bt(r),t==null&&(t=1),o==null&&(o=\"float32\"),o!==\"float32\"&&o!==\"int32\")throw new Error(`Unsupported data type ${o}`);let s=new Cd(e,t,o,n),a=le(r,o);for(let i=0;i`Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`),no(e,0)}var Lk=N({reverse1d_:sG});function aG(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${t.rank}.`),no(t,e)}var Bk=N({reverse2d_:aG});function iG(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${t.rank}.`),no(t,e)}var Vk=N({reverse3d_:iG});function uG(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${t.rank}.`),no(t,e)}var zk=N({reverse4d_:uG});function pG(r){let t={x:v(r,\"x\",\"round\")};return T.runKernel(Vn,t)}var Nd=N({round_:pG});function cG(r){let t={x:v(r,\"x\",\"rsqrt\",\"float32\")};return T.runKernel(zn,t)}var Wk=N({rsqrt_:cG});function lG(r){let t={x:v(r,\"x\",\"selu\")};return T.runKernel(Ca,t)}var Uk=N({selu_:lG});function mG(r,e,t,o,n,s=[1,1],a=\"NHWC\"){let i=v(r,\"x\",\"separableConv2d\"),p=v(e,\"depthwiseFilter\",\"separableConv2d\"),u=v(t,\"pointwiseFilter\",\"separableConv2d\"),c=i,l=!1;if(i.rank===3&&(l=!0,c=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),a===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");$(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),$(p.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let m=p.shape[2],d=p.shape[3];$(u.shape[2]===m*d,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*d}, but got ${u.shape[2]}.`);let f=Bp(c,p,o,n,a,s),g=Ei(f,u,1,\"valid\",a);return l?W(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var Gk=N({separableConv2d_:mG});async function dG(r,e){let t=v(r,\"x\",\"setdiff1d\"),o=v(e,\"y\",\"setdiff1d\");$(t.dtype===o.dtype,()=>`x and y should have the same dtype, but got x (${t.dtype}) and y (${o.dtype}).`),$(t.rank===1,()=>`x should be 1D tensor, but got x (${t.shape}).`),$(o.rank===1,()=>`y should be 1D tensor, but got y (${o.shape}).`);let n=await t.data(),s=await o.data(),a=new Set(s),i=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`),Ke(o,[e],[t])}var Xk=N({slice1d_:xG});function yG(r,e,t){let o=v(r,\"x\",\"slice2d\");return $(o.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Yk=N({slice2d_:yG});function bG(r,e,t){let o=v(r,\"x\",\"slice3d\");return $(o.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Qk=N({slice3d_:bG});function CG(r,e,t){let o=v(r,\"x\",\"slice4d\");return $(o.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Zk=N({slice4d_:CG});function SG(r,e=-1){let t=v(r,\"logits\",\"softmax\",\"float32\");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and dim was ${e}`);let o={logits:t},n={dim:e};return T.runKernel(qn,o,n)}var Jk=N({softmax_:SG});function wG(r){$(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(ui,e)}var zp=N({fft_:wG});function IG(r){$(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(pi,e)}var du=N({ifft_:IG});function vG(r){let e=r.shape[r.shape.length-1],t=r.size/e,o;if(e<=2){let n=W(r,[t,e]);o=du(n)}else{let n=[t,2*(e-1)],s=W(Fa(r),[t,e]),a=W(Ri(r),[t,e]),i=no(Ke(s,[0,1],[t,e-2]),1),p=ne(no(Ke(a,[0,1],[t,e-2]),1),Ce(-1)),u=xt([s,i],1),c=xt([a,p],1),l=W(Tr(u,c),[n[0],n[1]]);o=du(l)}if(o=Fa(o),r.rank===3&&r.shape[0]!==0){let n=o,s=r.shape[0];o=W(o,[s,o.shape[0]/s,o.shape[1]]),n.dispose()}return o}var Td=N({irfft_:vG});function kG(r,e,t=0){let n={x:v(r,\"x\",\"split\")},s={numOrSizeSplits:e,axis:t};return T.runKernel(Rs,n,s)}var Oa=N({split_:kG});function NG(r,e){$(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let t=r.shape[r.shape.length-1],o=r.size/t,n;if(e!=null&&e0),h=r.shape.map(g=>g);h[r.shape.length-1]=e,n=Ke(r,f,h),t=e}else if(e!=null&&e>t){let f=r.shape.map(h=>h);f[r.shape.length-1]=e-t,n=xt([r,Br(f)],r.shape.length-1),t=e}else n=r;let s=Ut(n),a=W(Tr(n,s),[o,t]),i=zp(a),p=Math.floor(t/2)+1,u=Fa(i),c=Ri(i),l=Oa(u,[p,t-p],u.shape.length-1),m=Oa(c,[p,t-p],c.shape.length-1),d=n.shape.slice();return d[n.shape.length-1]=p,W(Tr(l[0],m[0]),d)}var Wp=N({rfft_:NG});function TG(r,e){let t=v(r,\"a\",\"squaredDifference\"),o=v(e,\"b\",\"squaredDifference\");[t,o]=De(t,o),Je(t.shape,o.shape);let n={a:t,b:o},s={};return T.runKernel(jn,n,s)}var _d=N({squaredDifference_:TG});function _G(r,e){let t=v(r,\"x\",\"squeeze\",\"string_or_numeric\");return W(t,bb(t.shape,e).newShape)}var Up=N({squeeze_:_G});function $G(r,e=0){let t=_a(r,\"tensors\",\"stack\",\"string_or_numeric\");$(t.length>=1,()=>\"Pass at least one tensor to tf.stack\"),t.length>0&&$(e<=t[0].rank,()=>\"Axis must be <= rank of the tensor\");let o=t,n={axis:e};return T.runKernel(Ns,o,n)}var Sr=N({stack_:$G});function EG(r,e=0){let o={x:v(r,\"x\",\"step\")},n={alpha:e};return T.runKernel(fo,o,n)}var $d=N({step_:EG});function AG(r,e,t,o,n=0,s=0,a=0,i=0,p=0){let c={x:v(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},l={begin:e,end:t,strides:o,beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};return T.runKernel(Xn,c,l)}var e1=N({stridedSlice_:AG});function RG(r){let t={x:v(r,\"x\",\"tan\",\"float32\")};return T.runKernel(Qn,t)}var t1=N({tan_:RG});function dr(r,e){Jr(r);let t=or(r,e);if(t.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return xr(r,null,t,e)}function Oi(r,e,t){if(Jr(r),e!=null&&e.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let o=or(r,t);if(o.length!==2&&o.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return xr(r,e,o,t)}function Ed(r,e,t){if(Jr(r),e!=null&&e.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let o=or(r,t);if(o.length!==3&&o.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return xr(r,e,o,t)}function r1(r,e,t){if(Jr(r),e!=null&&e.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let o=or(r,t);if(o.length!==4&&o.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return xr(r,e,o,t)}function o1(r,e,t){if(Jr(r),e!=null&&e.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let o=or(r,t);if(o.length!==5&&o.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return xr(r,e,o,t)}function n1(r,e,t){if(Jr(r),e!=null&&e.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let o=or(r,t);if(o.length!==6&&o.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return e=e||o,xr(r,e,o,t)}function DG(r,e=1,t=!0){let o=v(r,\"x\",\"topk\");if(o.rank===0)throw new Error(\"topk() expects the input to be of rank 1 or higher\");let n=o.shape[o.shape.length-1];if(e<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${e}`);if(e>n)throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`);let s={x:o},a={k:e,sorted:t},[i,p]=T.runKernel(Jn,s,a);return{values:i,indices:p}}var s1=N({topk_:DG});function FG(r,e=0,t=1,o,n){if(bt(r),o!=null&&o===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new mu(e,t,o,!0,n),a=le(r,o);for(let i=0;i0,()=>\"The input tensor must be at least 1D\");let o={x:t},n={axis:e},[s,a]=T.runKernel(Np,o,n);return{values:s,indices:a}}var i1=N({unique_:OG});function PG(r,e,t){let o=v(r,\"x\",\"unsortedSegmentSum\"),n=v(e,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");$(sa(t),()=>\"numSegments must be of dtype int\");let s={x:o,segmentIds:n},a={numSegments:t};return T.runKernel(Tp,s,a)}var u1=N({unsortedSegmentSum_:PG});function MG(r,e=0){let t=v(r,\"x\",\"unstack\",\"string_or_numeric\");$(e>=-t.shape.length&&e`Axis = ${e} is not in [-${t.shape.length}, ${t.shape.length})`);let o={value:t},n={axis:e};return T.runKernel(Fs,o,n)}var so=N({unstack_:MG});function p1(r,e){return ol(r,e,\"right\")}function c1(r,e=!0,t,o){return T.makeVariable(r,e,t,o)}function Ad(r,e){let t=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),gt(i.slice(s,s+a),n.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let p=1;for(let h=s;hi).reverse()),$(o.rank===e.length,()=>`Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`),e.forEach(a=>{$(a>=0&&a`All entries in 'perm' must be between 0 and ${o.rank-1} but got ${e}`)}),o.rank<=1)return o.clone();let n={x:o},s={perm:e};return o.dtype===\"complex64\"?Ee(()=>{let a=Fa(o),i=Ri(o);return a=T.runKernel(ro,{x:a},s),i=T.runKernel(ro,{x:i},s),t&&(i=Cr(i)),Tr(a,i)}):T.runKernel(ro,n,s)}var Gp=N({transpose_:zG});function WG(r,e,t,o,n=!0){let s=v(r,\"v\",\"movingAverage\"),a=v(e,\"x\",\"movingAverage\"),i=v(t,\"decay\",\"movingAverage\");Ub(s,a),$(Or(s.shape,a.shape),()=>\"Shape mismatch in v and x\");let p=Ce(1),u=ke(p,i),c=ne(ke(a,s),u);if(n){$(o!=null,()=>\"When using zeroDebias: true, step is required.\");let l=v(o,\"step\",\"movingAverage\");c=He(c,ke(p,Aa(i,l)))}return be(s,c)}var UG=N({movingAverage_:WG});var sl={};Ge(sl,{calculateShapes:()=>l1,validateInput:()=>Dd,validateUpdateShape:()=>bC});function bC(r,e,t){let o=e.rank>1?e.shape[e.rank-1]:1,n=e.rank>1?e.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${t.shape}, indices.shape: ${e.shape}, shape: ${r}, sliceDim: ${o}, and batchDim: ${n}.`;if(t.rank1?e.shape[o-1]:1,s=t.length,a=1;for(let l=n;l2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let n=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(t.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${t.length}, should be: ${s}.`);let a=e.size;if(!(e.rank===0||e.rank===1&&a===n))throw new Error(`sparseValues has incorrect shape ${e.shape}, should be [] or [${n}]`);if(e.dtype!==o.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function qG(r,e,t,o=0){bt(t);let n=v(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=v(e,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),a=v(o,\"defaultValue\",\"sparseToDense\",s.dtype);m1(n,s,t,a);let i={sparseIndices:n,sparseValues:s,defaultValue:a},p={outputShape:t};return T.runKernel(yi,i,p)}var jG=N({sparseToDense_:qG});function XG(r,e){let t=v(e,\"indices\",\"gatherND\",\"int32\"),n={params:v(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:t};return T.runKernel(an,n)}var YG=N({gatherND_:XG});function d1(r,e){if(e==null)return r.shape.slice();if(Or(r.shape,e))return e;if(r.shape.length===e.length){let t=[];for(let o=0;o`x has to be a floating point tensor since it's going to be scaled, but got a ${n.dtype} tensor instead.`),$(e>=0&&e<1,()=>`rate must be a float in the range [0, 1), but got ${e}.`),e===0)return r instanceof it?n.clone():n;let s=d1(n,t),a=1-e,i=He(td(be(vd(s,0,1,\"float32\",o),a)),a);return ne(n,i)}var ZG=N({dropout_:QG});function CC(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function al(r,e,t){let o=1-r%2,n=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`),$(o.rank-1===n.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`),gt(o.shape.slice(0,o.shape.length-1),n.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=o.shape[o.shape.length-1];$(t>0&&t<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${t}`);let a=await o.data(),i=await n.data(),[p,u]=[a.length/s,s],c=Cb(\"bool\",p);for(let l=0;lg.value-h.value),c[l]=0;for(let h=0;hh1,depthwiseConv2d:()=>y1,matMul:()=>b1});function tH(r,e,t,o,n,s=\"NHWC\",a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]])),$(i.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${i.shape}.`),$(p.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${p.shape}.`),$(t.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${t}.`);let u=s===\"NHWC\"?i.shape[3]:i.shape[1],c=s===\"NHWC\"?p.shape[3]:p.shape[1];$(u===t[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t[2]}.`),$(c===t[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t[3]}).`),Mt(\"conv2dDerFilter\",n,a);let l={x:i,dy:p},m={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,filterShape:t};return T.runKernel(oi,l,m)}var f1=N({conv2DBackpropFilter_:tH});function fu(r,e,t){if(t==null||t===\"linear\")return r;if(t===\"relu\")return ne(r,$d(e));throw new Error(`Cannot compute gradient for fused activation ${t}.`)}function hu(r,e){let t=e,o=Qm(r.shape,e.shape);return o.length>0&&(t=et(t,o)),W(t,r.shape)}function gu(r,e,t,o){if(e===\"linear\")return r;if(e===\"relu\")return Fi(r);if(e===\"elu\")return Jm(r);if(e===\"relu6\")return kd(r);if(e===\"prelu\")return xd(r,t);if(e===\"leakyrelu\")return nd(r,o);if(e===\"sigmoid\")return Ws(r);throw new Error(`Unknown fused activation ${e}.`)}var xu=(r,e)=>!(r>0)||e===\"linear\";function rH({x:r,filter:e,strides:t,pad:o,dataFormat:n=\"NHWC\",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p=\"linear\",preluActivationWeights:u,leakyreluAlpha:c}){if(p=p||\"linear\",xu(T.state.gradientDepth,p)===!1){$(n===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${n} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=Ei(r,e,t,o,n,s,a);return i!=null&&(_=be(_,i)),gu(_,p,u,c)}let l=v(r,\"x\",\"conv2d\",\"float32\"),m=v(e,\"filter\",\"conv2d\",\"float32\"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Mt(\"fused conv2d\",o,a);let h=n===\"NHWC\"?d.shape[3]:d.shape[1];$(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),$(mr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`);let g=au(d.shape,m.shape,t,s,o,a),x;i!=null&&(x=v(i,\"bias\",\"fused conv2d\"),[x]=De(x,l),n===\"NHWC\"?Je(g.outShape,x.shape):($(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),$(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(u!=null){let _=u.shape;if($(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)$(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Je(_,g.outShape)}catch(E){let A=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(A)}b=v(u,\"prelu weights\",\"fused conv2d\")}let C=(_,E)=>{$(n===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${n} but only NHWC is currently supported.`);let[A,R,D,P]=E,M=fu(_,D,p);$(su(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let L=Ym(R.shape,M,A,t,o),V=f1(R,M,A.shape,t,o),z=[L,V];if(P!=null){let U=hu(P,M);z.push(U)}return z},w={x:d,filter:m,bias:x,preluActivationWeights:b},k={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?br((E,A,R)=>{let D=T.runKernel(go,w,k);return R([A,E,D]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:C}})(d,m):br((E,A,R,D)=>{let P=T.runKernel(go,w,k);return D([A,E,P,R]),f&&(P=W(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:C}})(d,m,x)}var h1=N({fusedConv2d_:rH});function oH(r,e,t,o,n,s=[1,1],a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={x:i,dy:p},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,filterShape:t};return T.runKernel(yp,u,c)}var g1=N({depthwiseConv2dNativeBackpropFilter_:oH});function nH(r,e,t,o,n,s=[1,1],a){let i=e,p=!1;e.rank===3&&(p=!0,i=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={dy:i,filter:t},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,inputShape:r},l=T.runKernel(bp,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var x1=N({depthwiseConv2dNativeBackpropInput_:nH});function sH({x:r,filter:e,strides:t,pad:o,dataFormat:n=\"NHWC\",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p=\"linear\",preluActivationWeights:u,leakyreluAlpha:c}){if(xu(T.state.gradientDepth,p)===!1){let k=Bp(r,e,t,o,n,s,a);return i!=null&&(k=be(k,i)),gu(k,p,u,c)}let l=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=v(e,\"filter\",\"depthwiseConv2d\",\"float32\"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),$(d.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),$(mr(t,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),Mt(\"fused depthwiseConv2d\",o,a);let h=au(d.shape,m.shape,t,s,o,a,!0),g;i!=null&&(g=v(i,\"bias\",\"fused conv2d\"),[g]=De(g,l),Je(h.outShape,g.shape));let x;u!=null&&(x=v(u,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(k,_)=>{$(su(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[E,A,R,D]=_,P=fu(k,R,p),M=x1(A.shape,P,E,t,o,s,a),L=g1(A,P,E.shape,t,o,s,a);if(D!=null){let V=hu(g,P);return[M,L,V]}return[M,L]},C={x:d,filter:m,bias:g,preluActivationWeights:x},w={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?br((_,E,A)=>{let R=T.runKernel(xo,C,w);return A([E,_,R]),f&&(R=W(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:b}})(d,m):br((_,E,A,R)=>{let D=T.runKernel(xo,C,w);return R([E,_,D,A]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:b}})(d,m,g)}var y1=N({fusedDepthwiseConv2d_:sH});function aH({a:r,b:e,transposeA:t=!1,transposeB:o=!1,bias:n,activation:s=\"linear\",preluActivationWeights:a,leakyreluAlpha:i=.2}){if(xu(T.state.gradientDepth,s)===!1){let P=Xe(r,e,t,o);return n!=null&&(P=be(P,n)),gu(P,s,a,i)}let p=v(r,\"a\",\"fused matMul\"),u=v(e,\"b\",\"fused matMul\");[p,u]=De(p,u);let c=t?p.shape[p.rank-2]:p.shape[p.rank-1],l=o?u.shape[u.rank-1]:u.shape[u.rank-2],m=t?p.shape[p.rank-1]:p.shape[p.rank-2],d=o?u.shape[u.rank-2]:u.shape[u.rank-1],f=p.shape.slice(0,-2),h=u.shape.slice(0,-2),g=We(f),x=We(h);$(c===l,()=>`Error in fused matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${p.shape} and ${u.shape} and transposeA=${t} and transposeB=${o} must match.`);let C=Je(p.shape.slice(0,-2),u.shape.slice(0,-2)).concat([m,d]),w=t?W(p,[g,c,m]):W(p,[g,m,c]),k=o?W(u,[x,d,l]):W(u,[x,l,d]),_;n!=null&&(_=v(n,\"bias\",\"fused matMul\"),[_]=De(_,p),Je(C,_.shape));let E;a!=null&&(E=v(a,\"prelu weights\",\"fused matMul\"));let A=(P,M)=>{let[L,V,z,U]=M,K=fu(W(P,z.shape),z,s),H,q;if(!t&&!o?(H=Xe(K,V,!1,!0),q=Xe(L,K,!0,!1)):!t&&o?(H=Xe(K,V,!1,!1),q=Xe(K,L,!0,!1)):t&&!o?(H=Xe(V,K,!1,!0),q=Xe(L,K,!1,!1)):(H=Xe(V,K,!0,!0),q=Xe(K,L,!0,!0)),n!=null){let Z=hu(U,K);return[H,q,Z]}else return[H,q]},R={a:w,b:k,bias:_,preluActivationWeights:E},D={transposeA:t,transposeB:o,activation:s,leakyreluAlpha:i};return n==null?br((M,L,V)=>{let z=T.runKernel(ho,R,D);return V([M,L,z]),{value:W(z,C),gradFunc:A}})(w,k):br((M,L,V,z)=>{let U=T.runKernel(ho,R,D);return z([M,L,U,V]),{value:W(U,C),gradFunc:A}})(w,k,_)}var b1=N({fusedMatMul_:aH});function iH(r){return al(r,.54,.46)}var C1=N({hammingWindow_:iH});function uH(r){return al(r,.5,.5)}var Fd=N({hannWindow_:uH});function pH(r,e,t,o=!1,n=0){let s=0,a=[];for(;s+e<=r.size;)a.push(Ke(r,s,e)),s+=t;if(o)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&i.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${i.shape}.`),$(p.rank===1&&p.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${i.shape}.`),$(o.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${o.length}.`),$(o[0]>=1&&o[1]>=1,()=>`cropSize must be atleast [1,1], but was ${o}`),$(n===\"bilinear\"||n===\"nearest\",()=>`method must be bilinear or nearest, but was ${n}`);let c={image:a,boxes:i,boxInd:p},l={method:n,extrapolationValue:s,cropSize:o};return T.runKernel(Xo,c,l)}var w1=N({cropAndResize_:lH});function mH(r){let e=v(r,\"image\",\"flipLeftRight\",\"float32\");$(e.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`);let t={image:e};return T.runKernel(rn,t,{})}var I1=N({flipLeftRight_:mH});function dH(r){let e=v(r,\"image\",\"grayscaleToRGB\"),t=e.rank-1,o=e.shape[t];$(e.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${e.rank}.`),$(o===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${o}.`);let n=new Array(e.rank);return n.fill(1,0,t),n[t]=3,Ai(e,n)}var v1=N({grayscaleToRGB_:dH});function fH(r,e,t=0,o=.5){let n=v(r,\"image\",\"rotateWithOffset\",\"float32\");$(n.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${n.rank}.`);let s={image:n},a={radians:e,fillValue:t,center:o};return T.runKernel(ts,s,a)}var k1=N({rotateWithOffset_:fH});function wo(r,e,t,o,n,s){o==null&&(o=.5),n==null&&(n=Number.NEGATIVE_INFINITY),s==null&&(s=0);let a=r.shape[0];return t=Math.min(t,a),$(0<=o&&o<=1,()=>`iouThreshold must be in [0, 1], but was '${o}'`),$(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),$(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),$(e.rank===1,()=>\"scores must be a 1D tensor\"),$(e.shape[0]===a,()=>`scores has incompatible shape with boxes. Expected ${a}, but was ${e.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s}}function hH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),a=v(e,\"scores\",\"nonMaxSuppression\",\"float32\"),i=wo(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p={maxOutputSize:t,iouThreshold:o,scoreThreshold:n};return T.runKernel(Tn,{boxes:s,scores:a},p)}var N1=N({nonMaxSuppression_:hH});function T1(r,e,t){let o=gH(r,e,t),n=o<0?-(o+1):o;r.splice(n,0,e)}function gH(r,e,t){return yH(r,e,t||xH)}function xH(r,e){return r>e?1:r>>1);let i=t(e,r[s]);i>0?o=s+1:(n=s,a=!i)}return a?o:-o-1}function Pd(r,e,t,o,n){return wC(r,e,t,o,n,0)}function Md(r,e,t,o,n,s){return wC(r,e,t,o,n,0,!1,s,!0)}function Ld(r,e,t,o,n,s){return wC(r,e,t,o,n,s,!0)}function wC(r,e,t,o,n,s,a=!1,i=!1,p=!1){let u=[];for(let g=0;gn&&u.push({score:e[g],boxIndex:g,suppressBeginIndex:0});u.sort(_1);let c=s>0?-.5/s:0,l=[],m=[];for(;l.length0;){let g=u.pop(),{score:x,boxIndex:b,suppressBeginIndex:C}=g;if(x=C;--k){let _=bH(r,b,l[k]);if(_>=o){w=!0;break}if(g.score=g.score*CH(o,c,_),g.score<=n)break}g.suppressBeginIndex=l.length,w||(g.score===x?(l.push(b),m.push(g.score)):g.score>n&&T1(u,g,_1))}let d=l.length,f=t-d;i&&f>0&&(l.push(...new Array(f).fill(0)),m.push(...new Array(f).fill(0)));let h={selectedIndices:l};return a&&(h.selectedScores=m),p&&(h.validOutputs=d),h}function bH(r,e,t){let o=r.subarray(e*4,e*4+4),n=r.subarray(t*4,t*4+4),s=Math.min(o[0],o[2]),a=Math.min(o[1],o[3]),i=Math.max(o[0],o[2]),p=Math.max(o[1],o[3]),u=Math.min(n[0],n[2]),c=Math.min(n[1],n[3]),l=Math.max(n[0],n[2]),m=Math.max(n[1],n[3]),d=(i-s)*(p-a),f=(l-u)*(m-c);if(d<=0||f<=0)return 0;let h=Math.max(s,u),g=Math.max(a,c),x=Math.min(i,l),b=Math.min(p,m),C=Math.max(x-h,0)*Math.max(b-g,0);return C/(d+f-C)}function CH(r,e,t){let o=Math.exp(e*t*t);return t<=r?o:0}function _1(r,e){return r.score-e.score||r.score===e.score&&e.boxIndex-r.boxIndex}async function SH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(e,\"scores\",\"nonMaxSuppressionAsync\"),i=wo(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p=await Promise.all([s.data(),a.data()]),u=p[0],c=p[1],{selectedIndices:l}=Pd(u,c,t,o,n);return s!==r&&s.dispose(),a!==e&&a.dispose(),dr(l,\"int32\")}var $1=SH;function wH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,\"boxes\",\"nonMaxSuppression\"),i=v(e,\"scores\",\"nonMaxSuppression\"),p=wo(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u={boxes:a,scores:i},c={maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s},l=T.runKernel(_n,u,c);return{selectedIndices:l[0],selectedScores:l[1]}}var E1=N({nonMaxSuppressionWithScore_:wH});async function IH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(e,\"scores\",\"nonMaxSuppressionAsync\"),p=wo(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u=await Promise.all([a.data(),i.data()]),c=u[0],l=u[1],{selectedIndices:m,selectedScores:d}=Ld(c,l,t,o,n,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:dr(m,\"int32\"),selectedScores:dr(d)}}var A1=IH;function vH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,\"boxes\",\"nonMaxSuppression\"),i=v(e,\"scores\",\"nonMaxSuppression\"),p=wo(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,m={boxes:a,scores:i},d={maxOutputSize:u,iouThreshold:c,scoreThreshold:l,padToMaxOutputSize:s},f=T.runKernel(ba,m,d);return{selectedIndices:f[0],validOutputs:f[1]}}var R1=N({nonMaxSuppressionPadded_:vH});async function kH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(e,\"scores\",\"nonMaxSuppressionAsync\"),p=wo(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,[m,d]=await Promise.all([a.data(),i.data()]),{selectedIndices:f,validOutputs:h}=Md(m,d,u,c,l,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:dr(f,\"int32\"),validOutputs:Ce(h,\"int32\")}}var D1=kH;function NH(r,e,t=!1,o=!1){let n=v(r,\"images\",\"resizeBilinear\");$(n.rank===3||n.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${e}.`),$(o===!1||t===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(Mn,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var F1=N({resizeBilinear_:NH});function TH(r,e,t=!1,o=!1){let n=v(r,\"images\",\"resizeNearestNeighbor\");$(n.rank===3||n.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${e}.`),$(n.dtype===\"float32\"||n.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),$(o===!1||t===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(Pn,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var O1=N({resizeNearestNeighbor_:TH});function _H(r,e=\"binary\",t=!1,o=.5){let n=v(r,\"image\",\"threshold\"),s=.2989,a=.587,i=.114,p=n.shape[0]*n.shape[1],u=ne(dr([o]),255),c,l,m,d;if($(n.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${n.rank}.`),$(n.shape[2]===3||n.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${n.shape[2]}.`),$(n.dtype===\"int32\"||n.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${n.dtype}.`),$(e===\"otsu\"||e===\"binary\",()=>`Method must be binary or otsu, but was ${e}`),n.shape[2]===3){[c,l,m]=Oa(n,[1,1,1],-1);let g=ne(c,s),x=ne(l,a),b=ne(m,i);d=be(be(g,x),b)}else d=r;if(e===\"otsu\"){let g=Xm(je(Nd(d),\"int32\"),nr([]),256);u=$H(g,p)}let f=t?Vp(d,u):uu(d,u);return je(ne(f,255),\"int32\")}function $H(r,e){let t=dr([-1]),o=dr([0]),n=dr([0]),s,a,i,p,u,c;for(let l=0;l`Error in transform: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&(i.shape[0]===a.shape[0]||i.shape[0]===1)&&i.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let p={image:a,transforms:i},u={interpolation:t,fillMode:o,fillValue:n,outputShape:s};return T.runKernel(es,p,u)}var M1=N({transform_:EH});function AH(r,e,t){$(e%1===0,()=>`bandPart(): numLower must be an integer, got ${e}.`),$(t%1===0,()=>`bandPart(): numUpper must be an integer, got ${t}.`);let o=v(r,\"a\",\"bandPart\");$(o.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${o.rank}.`);let n=o.shape,[s,a]=o.shape.slice(-2);if(!(e<=s))throw new Error(`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`);if(!(t<=a))throw new Error(`bandPart(): numUpper (${t}) must not be greater than the number of columns (${a}).`);e<0&&(e=s),t<0&&(t=a);let i=W(Di(0,s,1,\"int32\"),[-1,1]),p=Di(0,a,1,\"int32\"),u=ke(i,p),c=pu(Vp(u,Ce(+e,\"int32\")),od(u,Ce(-t,\"int32\"))),l=Br([s,a],o.dtype);return W(Sr(so(W(o,[-1,s,a])).map(m=>ss(c,m,l))),n)}var L1=N({bandPart_:AH});function RH(r){let e;if(Array.isArray(r)){e=!1,$(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let n=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${n})`)}else e=!0,r=Oa(r,r.shape[0],0).map(n=>Up(n,[0]));$(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let t=[],o=r;for(let n=0;n{let s=o[n];if(n>0)for(let a=0;a=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return V1(r,e);{let t=r.shape.slice(0,r.shape.length-2).reduce((p,u)=>p*u),o=so(W(r,[t,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),n=[],s=[];o.forEach(p=>{let[u,c]=V1(p,e);n.push(u),s.push(c)});let a=W(Sr(n,0),r.shape),i=W(Sr(s,0),r.shape);return[a,i]}}function V1(r,e=!1){return T.tidy(()=>{$(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let t=r.shape[0],o=r.shape[1],n=ed(t),s=Lr(r),a=Oi([[1]],[1,1]),i=Lr(a),p=t>=o?o:t;for(let u=0;u{let d=Ke(s,[u,u],[t-u,1]),f=iu(d),h=Ke(s,[u,u],[1,1]),g=ss(uu(h,0),Oi([[-1]]),Oi([[1]])),x=ke(h,ne(g,f)),b=He(d,x);b.shape[0]===1?i=Lr(a):i=xt([a,Ke(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let C=Cr(He(Xe(g,x),f)),w=Ke(s,[u,0],[t-u,o]),k=ne(C,i),_=Gp(i);if(u===0)s=ke(w,Xe(k,Xe(_,w)));else{let R=ke(w,Xe(k,Xe(_,w)));s=xt([Ke(s,[0,0],[u,o]),R],0)}let E=Gp(k),A=Ke(n,[0,u],[t,n.shape[1]-u]);if(u===0)n=ke(A,Xe(Xe(A,i),E));else{let R=ke(A,Xe(Xe(A,i),E));n=xt([Ke(n,[0,0],[t,u]),R],1)}return[i,s,n]}),Ot([c,l,m])}return!e&&t>o&&(n=Ke(n,[0,0],[t,o]),s=Ke(s,[0,0],[o,o])),[n,s]})}var z1=N({qr_:DH});var $t;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})($t||($t={}));function FH(r,e,t=$t.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"losses\",\"computeWeightedLoss\"),n=null;e!=null&&(n=v(e,\"weights\",\"computeWeightedLoss\"));let s=n==null?o:ne(o,n);if(t===$t.NONE)return s;if(t===$t.SUM)return et(s);if(t===$t.MEAN){if(n==null)return cu(s);{let a=o.size/n.size,i=He(et(s),et(n));return a>1?He(i,Ce(a)):i}}if(t===$t.SUM_BY_NONZERO_WEIGHTS){if(n==null)return He(et(s),Ce(o.size));{let a=ne(n,Hs(o.shape)),i=je(et(hd(a,Ce(0))),\"float32\");return He(et(s),i)}}throw Error(`Unknown reduction: ${t}`)}var ar=N({computeWeightedLoss_:FH});function OH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"absoluteDifference\"),s=v(e,\"predictions\",\"absoluteDifference\"),a=null;t!=null&&(a=v(t,\"weights\",\"absoluteDifference\")),gt(n.shape,s.shape,\"Error in absoluteDifference: \");let i=Yt(ke(n,s));return ar(i,a,o)}var W1=N({absoluteDifference_:OH});function PH(r,e,t,o,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"cosineDistance\"),a=v(e,\"predictions\",\"cosineDistance\"),i=null;o!=null&&(i=v(o,\"weights\",\"cosineDistance\")),gt(s.shape,a.shape,\"Error in cosineDistance: \");let p=Ce(1),u=ke(p,et(ne(s,a),t,!0));return ar(u,i,n)}var U1=N({cosineDistance_:PH});function MH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"hingeLoss\"),s=v(e,\"predictions\",\"hingeLoss\"),a=null;t!=null&&(a=v(t,\"weights\",\"hingeLoss\")),gt(n.shape,s.shape,\"Error in hingeLoss: \");let i=Ce(1);n=ke(ne(Ce(2),n),i);let p=Fi(ke(i,ne(n,s)));return ar(p,a,o)}var G1=N({hingeLoss_:MH});function LH(r,e,t,o=1,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"huberLoss\"),a=v(e,\"predictions\",\"huberLoss\"),i=null;t!=null&&(i=v(t,\"weights\",\"huberLoss\")),gt(s.shape,a.shape,\"Error in huberLoss: \");let p=Ce(o),u=Yt(ke(a,s)),c=fd(u,p),l=ke(u,c),m=be(ne(Ce(.5),Qt(c)),ne(p,l));return ar(m,i,n)}var H1=N({huberLoss_:LH});function BH(r,e,t,o=1e-7,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"logLoss\"),a=v(e,\"predictions\",\"logLoss\"),i=null;t!=null&&(i=v(t,\"weights\",\"logLoss\")),gt(s.shape,a.shape,\"Error in logLoss: \");let p=Ce(1),u=Ce(o),c=Cr(ne(s,Da(be(a,u)))),l=ne(ke(p,s),Da(be(ke(p,a),u))),m=ke(c,l);return ar(m,i,n)}var K1=N({logLoss_:BH});function VH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"meanSquaredError\"),s=v(e,\"predictions\",\"meanSquaredError\"),a=null;t!=null&&(a=v(t,\"weights\",\"meanSquaredError\")),gt(n.shape,s.shape,\"Error in meanSquaredError: \");let i=_d(n,s);return ar(i,a,o)}var q1=N({meanSquaredError_:VH});function zH(r,e){let t=v(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),o=v(e,\"logits\",\"sigmoidCrossEntropyWithLogits\");gt(t.shape,o.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let n=Fi(o),s=ne(o,t),a=sd(So(Cr(Yt(o))));return be(ke(n,s),a)}function WH(r,e,t,o=0,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),a=v(e,\"logits\",\"sigmoidCrossEntropy\"),i=null;if(t!=null&&(i=v(t,\"weights\",\"sigmoidCrossEntropy\")),gt(s.shape,a.shape,\"Error in sigmoidCrossEntropy: \"),o>0){let u=Ce(o),c=Ce(1),l=Ce(.5);s=be(ne(s,ke(c,u)),ne(l,u))}let p=zH(s,a);return ar(p,i,n)}var j1=N({sigmoidCrossEntropy_:WH});function UH(r,e,t=-1){if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t}`);return br((n,s,a)=>{let p=ud(s,[t],!0),u=ke(je(s,\"float32\"),p);a([n,u]);let c=Cr(ne(u,n));return{value:et(c,[t]),gradFunc:(d,f)=>{let[h,g]=f,x=Ea(d.shape,[t]);return[ne(W(d,x),ke(je(h,\"float32\"),So(g))),ne(W(d,x),ke(So(g),je(h,\"float32\")))]}}})(r,e)}function GH(r,e,t,o=0,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"onehotLabels\",\"softmaxCrossEntropy\"),a=v(e,\"logits\",\"softmaxCrossEntropy\"),i=null;if(t!=null&&(i=v(t,\"weights\",\"softmaxCrossEntropy\")),gt(s.shape,a.shape,\"Error in softmaxCrossEntropy: \"),o>0){let u=Ce(o),c=Ce(1),l=Ce(s.shape[1]);s=be(ne(s,ke(c,u)),He(u,l))}let p=UH(s,a);return ar(p,i,n)}var X1=N({softmaxCrossEntropy_:GH});function HH(r,e,t,o){let n=v(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=v(e,\"values\",\"sparseFillEmptyRows\"),a=v(t,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),i=v(o,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(n.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(a.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${a.shape}`);if(i.rank!==0)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);let p={indices:n,values:s,denseShape:a,defaultValue:i},u=T.runKernel(hi,p);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var Y1=N({sparseFillEmptyRows_:HH});function KH(r,e,t){let o=v(r,\"inputIndices\",\"sparseReshape\",\"int32\"),n=v(e,\"inputShape\",\"sparseReshape\",\"int32\"),s=v(t,\"newShape\",\"sparseReshape\",\"int32\");if(o.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${o.shape}`);if(n.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let a={inputIndices:o,inputShape:n,newShape:s},i=T.runKernel(va,a);return{outputIndices:i[0],outputShape:i[1]}}var Q1=N({sparseReshape_:KH});function qH(r,e,t){let o=v(r,\"data\",\"sparseSegmentMean\"),n=v(e,\"indices\",\"sparseSegmentMean\",\"int32\"),s=v(t,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(o.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(gi,a)}var Z1=N({sparseSegmentMean_:qH});function jH(r,e,t){let o=v(r,\"data\",\"sparseSegmentSum\"),n=v(e,\"indices\",\"sparseSegmentSum\",\"int32\"),s=v(t,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(o.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(xi,a)}var J1=N({sparseSegmentSum_:jH});function XH(r,e,t,o,n,s,a,i){let p=v(r,\"data\",\"stringNGrams\",\"string\");if(p.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(p.shape.length!==1)throw new Error(`Data must be a vector, saw: ${p.shape}`);let u=v(e,\"dataSplits\",\"stringNGrams\");if(u.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:t,nGramWidths:o,leftPad:n,rightPad:s,padWidth:a,preserveShortSequences:i},l={data:p,dataSplits:u},m=T.runKernel(Ds,l,c);return{nGrams:m[0],nGramsSplits:m[1]}}var eN=N({stringNGrams_:XH});function YH(r,e,t=!0){let o=v(r,\"input\",\"stringSplit\",\"string\"),n=v(e,\"delimiter\",\"stringSplit\",\"string\");if(o.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${o.shape}`);if(n.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${n.shape}`);let s={skipEmpty:t},a={input:o,delimiter:n},i=T.runKernel(Ci,a,s);return{indices:i[0],values:i[1],shape:i[2]}}var tN=N({stringSplit_:YH});function QH(r,e){let t=v(r,\"input\",\"stringToHashBucketFast\",\"string\"),o={numBuckets:e};if(e<=0)throw new Error(\"Number of buckets must be at least 1\");let n={input:t};return T.runKernel(Si,n,o)}var rN=N({stringToHashBucketFast_:QH});var ZH={fft:zp,ifft:du,rfft:Wp,irfft:Td},JH={hammingWindow:C1,hannWindow:Fd,frame:Od,stft:S1},eK={flipLeftRight:I1,grayscaleToRGB:v1,resizeNearestNeighbor:O1,resizeBilinear:F1,rotateWithOffset:k1,cropAndResize:w1,nonMaxSuppression:N1,nonMaxSuppressionAsync:$1,nonMaxSuppressionWithScore:E1,nonMaxSuppressionWithScoreAsync:A1,nonMaxSuppressionPadded:R1,nonMaxSuppressionPaddedAsync:D1,threshold:P1,transform:M1},tK={bandPart:L1,gramSchmidt:B1,qr:z1},rK={absoluteDifference:W1,computeWeightedLoss:ar,cosineDistance:U1,hingeLoss:G1,huberLoss:H1,logLoss:K1,meanSquaredError:q1,sigmoidCrossEntropy:j1,softmaxCrossEntropy:X1},oK={sparseFillEmptyRows:Y1,sparseReshape:Q1,sparseSegmentMean:Z1,sparseSegmentSum:J1},nK={stringNGrams:eN,stringSplit:tN,stringToHashBucketFast:rN};var oN={};Ge(oN,{Serializable:()=>il,SerializationMap:()=>qs,registerClass:()=>IC});var il=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},qs=class{constructor(){this.classNameMap={}}static getMap(){return qs.instance==null&&(qs.instance=new qs),qs.instance}static register(e){qs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function IC(r){$(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),$(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),$(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),qs.register(r)}var wr=class extends il{minimize(e,t=!1,o){let{value:n,grads:s}=this.computeGradients(e,o);if(o!=null){let a=o.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ot(s),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return pC(e,t)}dispose(){this.iterations_!=null&&Ot(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:Ce(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(wr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var yu=class extends wr{constructor(e,t,o=null){super(),this.learningRate=e,this.rho=t,this.epsilon=o,this.accumulatedGrads=[],this.accumulatedUpdates=[],o==null&&(this.epsilon=T.backend.epsilon())}static get className(){return\"Adadelta\"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accum_grad`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${o}/accum_var`,variable:Ee(()=>Ut(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedGrads[n].variable,u=this.accumulatedUpdates[n].variable;Ee(()=>{let c=be(ne(p,this.rho),ne(Qt(i),1-this.rho)),l=ne(He($r(be(u,this.epsilon)),$r(be(p,this.epsilon))),i),m=be(ne(u,this.rho),ne(Qt(l),1-this.rho));p.assign(c),u.assign(m);let d=be(ne(l,-this.learningRate),s);s.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ot(this.accumulatedGrads.map(e=>e.variable)),Ot(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,o=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};var bu=class extends wr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}static get className(){return\"Adagrad\"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accumulator`,variable:Ee(()=>Us(s.shape,this.initialAccumulatorValue).variable(!1))});let a=Array.isArray(e)?e[n].tensor:e[o];if(a==null)return;let i=this.accumulatedGrads[n].variable;Ee(()=>{let p=be(i,Qt(a));i.assign(p);let u=be(ne(He(a,$r(be(p,T.backend.epsilon()))),-this.learningRate),s);s.assign(u)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Ot(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};var Cu=class extends wr{constructor(e,t,o,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Ee(()=>{this.accBeta1=Ce(t).variable(),this.accBeta2=Ce(o).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}static get className(){return\"Adam\"}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);Ee(()=>{let o=ke(1,this.accBeta1),n=ke(1,this.accBeta2);t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ee(()=>Ut(i).variable(p))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:Ee(()=>Ut(i).variable(p))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,m=be(ne(c,this.beta1),ne(u,1-this.beta1)),d=be(ne(l,this.beta2),ne(Qt(u),1-this.beta2)),f=He(m,o),h=He(d,n);c.assign(m),l.assign(d);let g=be(ne(He(f,be($r(h),this.epsilon)),-this.learningRate),i);i.assign(g)}),this.accBeta1.assign(ne(this.accBeta1,this.beta1)),this.accBeta2.assign(ne(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&Ot(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),Ee(()=>{this.accBeta1.assign(Aa(this.beta1,this.iterations_+1)),this.accBeta2.assign(Aa(this.beta2,this.iterations_+1))});let t=e.length/2,o=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};var Su=class extends wr{constructor(e,t,o,n=null,s=0){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Ee(()=>{this.iteration=Ce(0).variable(),this.accBeta1=Ce(t).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}static get className(){return\"Adamax\"}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);Ee(()=>{let o=ke(1,this.accBeta1),n=He(-this.learningRate,be(ne(this.iteration,this.decay),1));t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ut(i).variable(p)}),this.accumulatedWeightedInfNorm[a]==null&&(this.accumulatedWeightedInfNorm[a]={originalName:`${s}/v`,variable:Ut(i).variable(p)});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,m=be(ne(c,this.beta1),ne(u,1-this.beta1)),d=ne(l,this.beta2),f=Yt(u),h=dd(d,f);c.assign(m),l.assign(h);let g=be(ne(He(n,o),He(m,be(h,this.epsilon))),i);i.assign(g)}),this.iteration.assign(be(this.iteration,1)),this.accBeta1.assign(ne(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&Ot(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(e){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};var Pa=class extends wr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}static get className(){return\"SGD\"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=Array.isArray(e)?e[n].tensor:e[o];if(s==null)return;let a=T.registeredVariables[o];Ee(()=>{let i=be(ne(this.c,s),a);a.assign(i)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=_r(Ce(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};var wu=class extends Pa{constructor(e,t,o=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=o,this.accumulations=[],this.m=Ce(this.momentum)}static get className(){return\"Momentum\"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${o}/momentum`,variable:Ee(()=>Ut(s).variable(!1))});let a=this.accumulations[n].variable,i=Array.isArray(e)?e[n].tensor:e[o];i!=null&&Ee(()=>{let p,u=be(ne(this.m,a),i);this.useNesterov?p=be(ne(this.c,be(i,ne(u,this.m))),s):p=be(ne(this.c,u),s),a.assign(u),s.assign(p)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Ot(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};var Iu=class extends wr{constructor(e,t=.9,o=0,n=null,s=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=o,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,n==null&&(this.epsilon=T.backend.epsilon()),e==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}static get className(){return\"RMSProp\"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${o}/rms`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${o}/momentum`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${o}/mg`,variable:Ee(()=>Ut(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedMeanSquares[n].variable,u=this.accumulatedMoments[n].variable;Ee(()=>{let c=be(ne(p,this.decay),ne(Qt(i),1-this.decay));if(this.centered){let l=this.accumulatedMeanGrads[n].variable,m=be(ne(l,this.decay),ne(i,1-this.decay)),d=He(ne(i,this.learningRate),$r(ke(c,be(Qt(m),this.epsilon)))),f=be(ne(u,this.momentum),d);p.assign(c),l.assign(m),u.assign(f);let h=ke(s,f);s.assign(h)}else{let l=be(ne(p,this.decay),ne(Qt(i),1-this.decay)),m=be(ne(u,this.momentum),He(ne(i,this.learningRate),$r(be(l,this.epsilon))));p.assign(l),u.assign(m);let d=ke(s,m);s.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Ot(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Ot(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&Ot(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,o=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};var sK=[yu,bu,Cu,Su,wu,Iu,Pa];function nN(){for(let r of sK)IC(r)}var La={};Ge(La,{browserFiles:()=>aN,browserHTTPRequest:()=>pN,concatenateArrayBuffers:()=>Fp,copyModel:()=>V0,decodeWeights:()=>Bm,encodeWeights:()=>v0,fromMemory:()=>cN,fromMemorySync:()=>$C,getLoadHandlers:()=>E0,getModelArtifactsForJSON:()=>Op,getModelArtifactsForJSONSync:()=>Qb,getModelArtifactsInfoForJSON:()=>Ms,getSaveHandlers:()=>$0,getWeightSpecs:()=>zm,http:()=>Vd,isHTTPScheme:()=>Bd,listModels:()=>L0,loadWeights:()=>iN,moveModel:()=>z0,registerLoadRouter:()=>_0,registerSaveRouter:()=>T0,removeModel:()=>B0,weightsLoaderFactory:()=>TC,withSaveHandler:()=>lN,withSaveHandlerSync:()=>mN});var aK=\"model\",iK=\".json\",uK=\".weights.bin\";function sN(r){return new Promise(e=>setTimeout(e)).then(r)}var Ma=class{constructor(e){if(!O().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");e.startsWith(Ma.URL_SCHEME)&&(e=e.slice(Ma.URL_SCHEME.length)),(e==null||e.length===0)&&(e=aK),this.modelJsonFileName=e+iK,this.weightDataFileName=e+uK}async save(e){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let o=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],n=Vm(e,o),s=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:\"application/json\"})),a=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=s,await sN(()=>a.dispatchEvent(new MouseEvent(\"click\"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await sN(()=>i.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:Ms(e)}}}};Ma.URL_SCHEME=\"downloads://\";var vC=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let o=new FileReader;o.onload=n=>{let s=JSON.parse(n.target.result),a=s.modelTopology;if(a==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:a});return}let p=Op(s,u=>this.loadWeights(u));e(p)},o.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),o.readAsText(this.jsonFile)})}loadWeights(e){let t=[],o=[];for(let a of e)t.push(...a.weights),o.push(...a.paths);let n=this.checkManifestAndWeightFiles(e),s=o.map(a=>this.loadWeightsFile(a,n[a]));return Promise.all(s).then(a=>[t,Fp(a)])}loadWeightsFile(e,t){return new Promise((o,n)=>{let s=new FileReader;s.onload=a=>{let i=a.target.result;o(i)},s.onerror=a=>n(`Failed to weights data from file of path '${e}'.`),s.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],o=this.weightsFiles.map(s=>Yb(s.name)),n={};for(let s of e)s.paths.forEach(a=>{let i=Yb(a);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),o.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[a]=this.weightsFiles[o.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},pK=r=>O().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(Ma.URL_SCHEME)?cK(r.slice(Ma.URL_SCHEME.length)):null;mt.registerSaveRouter(pK);function cK(r=\"model\"){return new Ma(r)}function aN(r){return new vC(r)}function kC(r,e,t,o){a(r),t=t==null?0:t,o=o==null?1:o,i(t,o);let n=0,s=p=>(p.then(u=>{let c=t+ ++n/r.length*(o-t);return e(c),u}),p);function a(p){$(p!=null&&Array.isArray(p)&&p.length>0,()=>\"promises must be a none empty array\")}function i(p,u){$(p>=0&&p<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${p}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=p,()=>`startFraction must be no more than endFraction, but got startFraction ${p} and endFraction ${u}`)}return Promise.all(r.map(s))}async function NC(r,e){e==null&&(e={});let t=e.fetchFunc==null?O().platform.fetch:e.fetchFunc,o=r.map(l=>t(l,e.requestInit,{isBinary:!0})),n=0,s=.5,i=(e.onProgress==null?await Promise.all(o):await kC(o,e.onProgress,n,s)).map(l=>l.arrayBuffer()),p=.5,u=1;return e.onProgress==null?await Promise.all(i):await kC(i,e.onProgress,p,u)}async function iN(r,e=\"\",t,o){return TC(a=>NC(a,{requestInit:o}))(r,e,t)}function TC(r){return async(e,t=\"\",o)=>{let n=e.map(()=>!1),s={},a=o!=null?o.map(()=>!1):[],i=[];if(e.forEach((d,f)=>{let h=0;d.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=Zc[x]*We(g.shape),C=()=>{n[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};o!=null?o.forEach((w,k)=>{w===g.name&&(C(),a[k]=!0)}):C(),i.push(g.name),h+=b})}),!a.every(d=>d)){let d=o.filter((f,h)=>!a[h]);throw new Error(`Could not find weights in manifest with names: ${d.join(\", \")}. \nManifest JSON has weights with names: ${i.join(\", \")}.`)}let p=n.reduce((d,f,h)=>(f&&d.push(h),d),[]),u=[];p.forEach(d=>{e[d].paths.forEach(f=>{let h=t+(t.endsWith(\"/\")?\"\":\"/\")+f;u.push(h)})});let c=await r(u),l={},m=0;return p.forEach(d=>{let f=e[d].paths.length,h=0;for(let w=0;w{let k=g.slice(w.groupOffset,w.groupOffset+w.sizeBytes),_=Bm(k,[w.manifestEntry]);for(let E in _)l[E]=_[E]}),m+=f}),l}}var lK=\"application/octet-stream\",mK=\"application/json\",ul=class{constructor(e,t){if(this.DEFAULT_METHOD=\"POST\",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=t.fetchFunc):this.fetch=O().platform.fetch,$(e!=null&&e.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let o=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],n=Vm(e,o);t.body.append(\"model.json\",new Blob([JSON.stringify(n)],{type:mK}),\"model.json\"),e.weightData!=null&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:lK}),\"model.weights.bin\");let s=await this.fetch(this.path,t);if(s.ok)return{modelArtifactsInfo:Ms(e),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(s){let a=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?a+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":a+=\" Please make sure the server is serving valid JSON for this request.\",new Error(a)}let o=t.modelTopology,n=t.weightsManifest;if(o==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Op(t,s=>this.loadWeights(s))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[o,n]=dK(t),s=this.weightPathPrefix||o,a=zm(e),i=[],p=[];for(let c of e)for(let l of c.paths)this.weightUrlConverter!=null?p.push(this.weightUrlConverter(l)):i.push(s+l+n);this.weightUrlConverter&&i.push(...await Promise.all(p));let u=await NC(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[a,Fp(u)]}};ul.URL_SCHEME_REGEX=/^https?:\\/\\//;function dK(r){let e=r.lastIndexOf(\"/\"),t=r.lastIndexOf(\"?\"),o=r.substring(0,e),n=t>e?r.substring(t):\"\";return[o+\"/\",n]}function Bd(r){return r.match(ul.URL_SCHEME_REGEX)!=null}var uN=(r,e)=>{if(typeof fetch==\"undefined\"&&(e==null||e.fetchFunc==null))return null;{let t=!0;if(Array.isArray(r)?t=r.every(o=>Bd(o)):t=Bd(r),t)return Vd(r,e)}return null};mt.registerSaveRouter(uN);mt.registerLoadRouter(uN);function Vd(r,e){return new ul(r,e)}function pN(r,e){return Vd(r,e)}var pl=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},zd=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},_C=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function cN(r,e,t,o){let n=arguments;return new _C($C(...n))}function $C(r,e,t,o){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new pl(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new pl({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new pl({modelTopology:r,weightSpecs:e,weightData:t,trainingConfig:o}))}function lN(r){return new zd(r)}function mN(r){return new zd(r)}var fN={};Ge(fN,{confusionMatrix:()=>dN});function fK(r,e,t){let o=v(r,\"labels\",\"confusionMatrix\"),n=v(e,\"predictions\",\"confusionMatrix\");$(t==null||t>0&&Number.isInteger(t),()=>`If provided, numClasses must be a positive integer, but got ${t}`),$(o.rank===1,()=>`Expected the rank of labels to be 1, but got ${o.rank}`),$(n.rank===1,()=>`Expected the rank of predictions to be 1, but got ${n.rank}`),$(o.shape[0]===n.shape[0],()=>`Mismatch in the number of examples: ${o.shape[0]} vs. ${n.shape[0]}. Labels and predictions should have the same number of elements.`),$(t>0&&Number.isInteger(t),()=>`numClasses is required to be a positive integer, but got ${t}`);let s=nl(je(o,\"int32\"),t),a=nl(je(n,\"int32\"),t),i=Gp(s),p=Xe(i,a);return je(p,\"int32\")}var dN=N({confusionMatrix_:fK});var gN={};Ge(gN,{fromPixels:()=>SK,fromPixelsAsync:()=>bK,toPixels:()=>CK});var vu;function hN(r,e=3){if(e>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let t=!1,o=!1,n=!1,s=!1,a=!1,i=!1;if(r.data instanceof Uint8Array)t=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)o=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)n=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)a=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)i=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Kc(Zi,T.backendName)!=null){let f={pixels:r},h={numChannels:e};return T.runKernel(Zi,f,h)}let[u,c]=n?[r.videoWidth,r.videoHeight]:[r.width,r.height],l;if(a)l=r.getContext(\"2d\").getImageData(0,0,u,c).data;else if(o||t)l=r.data;else if(s||n||i){if(vu==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")vu=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else vu=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});vu.canvas.width=u,vu.canvas.height=c,vu.drawImage(r,0,0,u,c),l=vu.getImageData(0,0,u,c).data}let m;if(e===4)m=new Int32Array(l);else{let f=u*c;m=new Int32Array(f*e);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(t.dtype!==\"float32\"&&t.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${t.dtype}. Please use float32 or int32 tensors.`);let a=await t.data(),i=t.dtype===\"float32\"?255:1,p=new Uint8ClampedArray(n*o*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${d}.`)}else if(t.dtype===\"int32\"&&(d<0||d>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${d}.`);s===1?(c[0]=d*i,c[1]=d*i,c[2]=d*i):c[m]=d*i}let l=u*4;p[l+0]=Math.round(c[0]),p[l+1]=Math.round(c[1]),p[l+2]=Math.round(c[2]),p[l+3]=Math.round(c[3])}if(e!=null){e.width=n,e.height=o;let u=e.getContext(\"2d\"),c=new ImageData(p,n,o);u.putImageData(c,0,0)}return t!==r&&t.dispose(),p}var SK=N({fromPixels_:hN});var Wd={};Ge(Wd,{prepareAndValidate:()=>xN});function xN(r,e){let t=r.shape.length,o=e.shape.length;if(t<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${t}.`);if(o<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${o}.`);if(e.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.shape[o-1]>t)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[o-1]} vs. ${t}`);if(We(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let n=e.shape,s=n[n.length-1],a=1;for(let l=0;ll/u),1].slice(0,s);return[p,a,u,c]}var ut={};Ge(ut,{assertParamsValid:()=>IK,computeFlatOffset:()=>_K,computeOutShape:()=>kK,getNormalizedAxes:()=>NK,isSliceContinous:()=>TK,maskToAxes:()=>vK,parseSliceParams:()=>$K,sliceInfo:()=>EK,startForAxis:()=>kN,startIndicesWithElidedDims:()=>wN,stopForAxis:()=>NN,stopIndicesWithElidedDims:()=>IN,stridesForAxis:()=>vN,stridesWithElidedDims:()=>bN});var EC=-2,wK=-1;function IK(r,e,t){let o=r.shape.length;$(o===e.length,()=>`Error in slice${o}D: Length of begin ${e} must match the rank of the array (${o}).`),$(o===t.length,()=>`Error in slice${o}D: Length of size ${t} must match the rank of the array (${o}).`);for(let n=0;n`Error in slice${o}D: begin[${n}] + size[${n}] (${e[n]+t[n]}) would overflow input.shape[${n}] (${r.shape[n]})`)}function vK(r){let e=[],t=0;for(;r>0;)r&1&&e.push(t),r/=2,t++;return e}function kK(r,e,t){let o=[];for(let n=0;n0){let d=e[0],f=t+1;c=wN(a,d,f,o,r),l=IN(i,d,f,n,r),m=bN(s,d,f,r)}else for(let d=0;d-1)s[i]=0;else{let p=CN(e,t,i),u=o[p];r&1<-1)s[i]=Number.MAX_SAFE_INTEGER;else{let p=CN(e,t,i),u=o[p];r&1<0?a=Number.MIN_SAFE_INTEGER:a=Number.MAX_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),a=ip(0,a,p-1),a}function NN(r,e,t,o,n,s){let a=e[n],i=t[n]||1;(r&1<0?a=Number.MAX_SAFE_INTEGER:a=Number.MIN_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),i>0?a=ip(0,a,p):a=ip(-1,a,p-1),a}function TK(r,e,t){let o=t.length;for(let n=0;n1){o=n;break}for(let n=o+1;n0||t[n]!==r[n])return!1;return!0}function _K(r,e){let t=r.length>0?r[r.length-1]:1;for(let o=0;o{$(a!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return t==null?s=new Array(n).fill(-1):typeof t==\"number\"?s=[t,...new Array(n-1).fill(-1)]:t.lengtha>=0?a:($(a===-1,()=>`Negative size values should be exactly -1 but got ${a} for the slice() size at index ${i}.`),r.shape[i]-o[i])),[o,s]}function EK(r,e,t,o,n,s,a,i,p){let u;if(o==null?(u=new Array(e.length),u.fill(1)):u=o,a!=null&&a&a-1)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,l={dims:u.length,numAddAxisAfterEllipsis:0,begin:e.slice(),end:t.slice(),strides:u.slice(),beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};for(let C=0;C0?0:-1,m.strides[C]>0?k:k-1];if(w&&m.strides[C]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[C]===1;let A=!!(m.beginMask&1<=k)throw Error(`slice index ${m.begin[C]} of dimension ${C} out of bounds.`)}else m.begin[C]=yN(m.begin[C],0,m.strides[C],k,_,E),m.end[C]=yN(m.end[C],1,m.strides[C],k,_,E);let P=m.strides[C]===1&&m.begin[C]===0&&m.end[C]===k;d=d&&P,f=f&&(C===0&&m.strides[C]===1||P)}else d=d&&m.strides[C]===1&&A,f=f&&(C===0&&m.strides[C]===1||A);let R,D=!1;if(m.beginValid&&m.endValid?(R=m.end[C]-m.begin[C],D=!0):w?(R=1,D=!0):A&&k>=0&&(m.strides[C]<0?R=-k:R=k,D=!0),D){let P;R===0||R<0!=m.strides[C]<0?P=0:P=Math.trunc(R/m.strides[C])+(R%m.strides[C]!==0?1:0),g.push(P)}else g.push(-1)}for(let C=0;C=0?x.push(g[w]):w===EC&&x.push(1)}return{finalShapeSparse:x.filter((C,w)=>m.finalShapeGatherIndices[w]!==EC),finalShape:x,isIdentity:d,sliceDim0:f,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function AK(r,e){e.beginMask=0,e.endMask=0,e.shrinkAxisMask=0;let t=0;e.beginValid=r.begin!=null,e.endValid=r.end!=null,e.begin=new Array(e.dims),e.end=new Array(e.dims),e.strides=new Array(e.dims),e.finalShapeGatherIndices=[],e.finalShapeGatherIndicesSparse=[],e.inputShapeGatherIndicesSparse=new Array(e.dims);for(let o=0;o0?s[e]:s[e+1&1];{let a=r<0?o+r:r;return as[1]?s[1]:a}}var RK=\"4.2.0\";var cl=class{static sgd(e){return new Pa(e)}static momentum(e,t,o=!1){return new wu(e,t,o)}static rmsprop(e,t=.9,o=0,n=null,s=!1){return new Iu(e,t,o,n,s)}static adam(e=.001,t=.9,o=.999,n=null){return new Cu(e,t,o,n)}static adadelta(e=.001,t=.95,o=null){return new yu(e,t,o)}static adamax(e=.002,t=.9,o=.999,n=null,s=0){return new Su(e,t,o,n,s)}static adagrad(e,t=.1){return new bu(e,t)}};var YMe=cl;var DK=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function AC(){return new Promise(r=>DK(()=>r()))}var S={};Ge(S,{ERF_A1:()=>YK,ERF_A2:()=>QK,ERF_A3:()=>ZK,ERF_A4:()=>JK,ERF_A5:()=>eq,ERF_P:()=>XK,PARALLELIZE_THRESHOLD:()=>Ud,RowPartitionType:()=>js,SELU_SCALE:()=>jK,SELU_SCALEALPHA:()=>qK,applyActivation:()=>gu,assertAndGetBroadcastShape:()=>Je,assertAxesAreInnerMostDims:()=>dU,assertParamsConsistent:()=>FK,assignToTypedArray:()=>aq,axesAreInnerMostDims:()=>uC,calculateShapes:()=>l1,checkEinsumDimSizes:()=>mq,checkPadOnDimRoundingMode:()=>Mt,combineLocations:()=>Ov,combineRaggedTensorToTensorShapes:()=>PK,complexWithEvenIndex:()=>oq,complexWithOddIndex:()=>nq,computeConv2DInfo:()=>au,computeConv3DInfo:()=>rv,computeDefaultPad:()=>iC,computeDilation2DInfo:()=>dW,computeOptimalWindowSize:()=>VK,computeOutAndReduceShapes:()=>mU,computeOutShape:()=>OK,computePool2DInfo:()=>aC,computePool3DInfo:()=>fW,convertConv2DDataFormat:()=>ov,decodeEinsumEquation:()=>cq,eitherStridesOrDilationsAreOne:()=>mr,expandShapeToKeepDim:()=>Ea,exponent:()=>uq,exponents:()=>iq,fromStringArrayToUint8:()=>Dq,fromUint8ToStringArray:()=>Rq,getAxesPermutation:()=>fU,getBroadcastDims:()=>Ev,getComplexWithIndex:()=>sq,getEinsumComputePath:()=>dq,getEinsumPermutation:()=>lq,getFusedBiasGradient:()=>hu,getFusedDyActivation:()=>fu,getImageCenter:()=>zK,getInnerMostAxes:()=>gU,getPermuted:()=>UK,getRaggedRank:()=>LK,getReductionAxes:()=>Qm,getReshaped:()=>WK,getReshapedPermuted:()=>GK,getRowPartitionTypesHelper:()=>MK,getSliceBeginCoords:()=>HK,getSliceSize:()=>KK,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>xq,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>yq,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>bq,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>wq,getSparseReshapeInputOutputMismatchErrorMessage:()=>vq,getSparseReshapeInputOutputMultipleErrorMessage:()=>Iq,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>Cq,getSparseReshapeNegativeOutputDimErrorMessage:()=>Sq,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>_q,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>kq,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>Nq,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>Tq,getUndoAxesPermutation:()=>hU,isIdentityPermutation:()=>fq,log:()=>pz,mergeRealAndImagArrays:()=>tq,prepareAndValidate:()=>xN,prepareSplitSize:()=>gq,segment_util:()=>DC,shouldFuse:()=>xu,slice_util:()=>ut,splitRealAndImagArrays:()=>rq,stridesOrDilationsArePositive:()=>Vs,tupleValuesAreOne:()=>su,upcastType:()=>dt,validateDefaultValueShape:()=>BK,validateInput:()=>Dd,validateUpdateShape:()=>bC,warn:()=>Ps});function FK(r,e){let t=r[0].length;r.forEach((n,s)=>{$(n.length===t,()=>`Error in concat${t}D: rank of tensors[${s}] must be the same as the rank of the rest (${t})`)}),$(e>=0&&e`Error in concat${t}D: axis must be between 0 and ${t-1}.`);let o=r[0];r.forEach((n,s)=>{for(let a=0;a`Error in concat${t}D: Shape of tensors[${s}] (${n}) does not match the shape of the rest (${o}) along the non-concatenated axis ${s}.`)})}function OK(r,e){let t=r[0].slice();for(let o=1;o=0)if(i>=0){if(i!==s)throw new Error(`rt input.shape and shape=${e} are incompatible: rt input.shape[${n+r}] = ${s} but shape[${n+r}] = ${i}`)}else o[a]=s}return o}function MK(r){let e={FIRST_DIM_SIZE:js.FIRST_DIM_SIZE,VALUE_ROWIDS:js.VALUE_ROWIDS,ROW_LENGTHS:js.ROW_LENGTHS,ROW_SPLITS:js.ROW_SPLITS,ROW_LIMITS:js.ROW_LIMITS,ROW_STARTS:js.ROW_STARTS},t=[];for(let o of r)if(o in e)t.push(e[o]);else break;return t}function LK(r){return r.length===0?0:r[0]===js.FIRST_DIM_SIZE?r.length-1:r.length}function BK(r,e){if(r==null||e==null)return;let t=r.length,o=e.length;if(t>=o)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${e}, are incompatible: defaultValue.rank = ${t} must be less than ragged tensor input flatValues.rank = ${o})`);for(let n=0;n=0&&a>=0&&s!==1&&s!==a)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${e} are incompatible: defaultValue.shape[${n-r.length}] = ${s} but ragged tensor input.flatValues.shape[${n-r.length}] = ${a}`)}}var Ud=30;function VK(r){return r<=Ud?r:cp(r,Math.floor(Math.sqrt(r)))}function zK(r,e,t){let o=t*(typeof r==\"number\"?r:r[0]),n=e*(typeof r==\"number\"?r:r[1]);return[o,n]}function WK(r,e,t,o=!0){let n=[];if(o)n=n.concat(e.slice(0)),n.push(r[0]/t),n=n.concat(r.slice(1));else{n=n.concat(r[0]);let s=e.length;for(let a=0;a=e*2+1||a%2===1?s.push(a):n.push(a);o.push(...n),o.push(0),o.push(...s)}return o}function GK(r,e,t,o=!0){let n=[];o?n.push(r[0]/t):n.push(r[0]*t);for(let s=1;s\",pq=/->/g,TN=\",\",_N=\"...\";function cq(r,e){r=r.replace(/\\s/g,\"\");let t=(r.length-r.replace(pq,\"\").length)/RC.length;if(t<1)throw new Error(\"Equations without an arrow are not supported.\");if(t>1)throw new Error(`Equation must contain exactly one arrow (\"${RC}\").`);let[o,n]=r.split(RC);$(o.indexOf(_N)===-1,()=>`The ellipsis notation (\"${_N}\") is not supported yet.`);let s=o.split(TN),a=s.length;if(e!==a)throw new Error(`Expected ${a} input tensors, received ${e}`);if(a>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let i=[];for(let m=0;mf.indexOf(d)!==-1))throw new Error(`Output subscripts contain the label ${d} not present in the input subscripts.`);i.indexOf(d)===-1&&i.push(d)}for(let m=0;mn!==-1),{permutationIndices:t,expandDims:o}}function mq(r,e,t){let o=new Array(r);for(let n=0;n`Expected dimension ${o[e[n][a]]} at axis ${a} of input shaped ${JSON.stringify(s)}, but got dimension ${s[a]}`)}}function dq(r,e){let t=r,o=[],n=0;r.length===0&&t.push(-1),n=r.length+1;for(let a=0;ae===t)}function hq(r,e){let t=[];for(let o=0;o\"Number of splits must evenly divide the axis.\"),o=new Array(e).fill(r.shape[t]/e);else{let n=e.reduce((a,i)=>(i===-1&&(a+=1),a),0);$(n<=1,()=>\"There should be only one negative value in split array.\");let s=e.indexOf(-1);if(s!==-1){let a=e.reduce((i,p)=>p>0?i+p:i);e[s]=r.shape[t]-a}$(r.shape[t]===e.reduce((a,i)=>a+i),()=>\"The sum of sizes must match the size of the axis dimension.\"),o=e}return o}function xq(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function yq(r,e){return`indices(${r}, 0) is invalid: ${e} < 0`}function bq(r,e,t){return`indices(${r}, 0) is invalid: ${e} >= ${t}`}function Cq(r,e){return`only one output dimension may be -1, not both ${r} and ${e}`}function Sq(r,e){return`size ${r} must be non-negative, not ${e}`}function wq(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function Iq(r,e){let t=We(r),o=We(e);return`Input to reshape is a SparseTensor with ${t}\n dense values, but the requested shape requires a multiple of ${o}. inputShape=${r} outputShape= ${e}`}function vq(r,e){let t=We(r),o=We(e);return`Input to reshape is a tensor with ${t} dense values, but the requested shape has ${o}. inputShape=${r} outputShape=${e}`}function kq(){return\"segment ids must be >= 0\"}function Nq(){return\"segment ids are not increasing\"}function Tq(r,e){return`Segment id ${r} out of range [0, ${e}), possibly because segmentIds input is not sorted.`}function _q(r,e,t){return`Bad: indices[${r}] == ${e} out of range [0, ${t})`}var DC={};Ge(DC,{collectGatherOpShapeInfo:()=>Aq,computeOutShape:()=>Eq,segOpComputeOptimalWindowSize:()=>$q});function $q(r,e){let t=!1,o;for(r<=Ud?(o=r,t=!0):o=cp(r,Math.floor(Math.sqrt(r)));!t;)o>e||o===r?t=!0:o=cp(r,o+1);return o}function Eq(r,e,t){let o=[],n=r.length;for(let s=0;sn))throw new Error(`Expect batchDims in the range of [-${n}, ${n}], but got ${o}`);if(o<0&&(o+=n),o>s)throw new Error(`batchDims (${o}) must be less than rank(x) (\n ${s}).`);if(tRp(e))}catch(e){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${e}`)}}function Dq(r){return r.map(e=>Ii(e))}var Vt={};Ge(Vt,{nonMaxSuppressionV3Impl:()=>Pd,nonMaxSuppressionV4Impl:()=>Md,nonMaxSuppressionV5Impl:()=>Ld,whereImpl:()=>Ad});nN();var Fq=O();Fq.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var ao;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(ao||(ao={}));var $N;(function(r){let e;(function(t){t[t.LEGACY=0]=\"LEGACY\",t[t.V1=1]=\"V1\",t[t.V2=2]=\"V2\"})(e=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})($N||($N={}));var OC={};function Pq(r,e){let t={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:e};OC[r]=t}function Gd(r){return OC[r]}function Mq(r){delete OC[r]}function I(r,e,t,o,n){let s=e.inputParams[r];if(s&&s.inputIndexStart!==void 0){let i=s.inputIndexStart,p=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?i+1:s.inputIndexEnd;if(s.type===\"tensor\")return Gt(e.inputNames[s.inputIndexStart],t,o,n);if(s.type===\"tensors\")return e.inputNames.slice(i,p).map(m=>Gt(m,t,o,n));let u=Gt(e.inputNames.slice(i)[0],t,o,n),c=u.dataSync();return s.type===\"number\"?c[0]:y.toNestedArray(u.shape,c)}let a=e.attrParams[r];return a&&a.value}function Gt(r,e,t,o){let[n,s]=Ir(r);if(o!=null){let i=o.getHashTableHandleByName(n);if(i!=null)return i}let a=t.currentContextIds.find(i=>!!e[Hd(n,i)]);return a!==void 0?e[Hd(n,a)][s]:void 0}function EN(r,e,t){return e[Hd(r,t.currentContextId)]}function as(r,e){let[t,o,n]=Ir(r);return[Hd(t,e&&e.currentContextId),o,n]}function Hd(r,e){return e?`${r}-${e}`:r}function Ir(r){let e=r.split(\":\");if(e.length===1)return[r,0,void 0];let t=e[0],o=e.length===3?e[1]:void 0,n=Number(e[e.length-1]);return[t,n,o]}function ll(r,e,t){let o=I(\"pad\",r,e,t);if(o===\"explicit\"){o=I(\"explicitPaddings\",r,e,t);let n=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)n[s][0]=o[s*2],n[s][1]=o[s*2+1];return n}return o}function is(r){return r.kept?r:Lr(r)}var PC={};Ge(PC,{json:()=>Lq});var Lq=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var MC={};Ge(MC,{json:()=>Bq});var Bq=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prod\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axes\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var LC={};Ge(LC,{json:()=>Vq});var Vq=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var BC={};Ge(BC,{json:()=>zq});var zq=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var VC={};Ge(VC,{json:()=>Wq});var Wq=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var zC={};Ge(zC,{json:()=>Uq});var Uq=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var WC={};Ge(WC,{json:()=>Gq});var Gq=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var UC={};Ge(UC,{json:()=>Hq});var Hq=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var GC={};Ge(GC,{json:()=>Kq});var Kq=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"InitializeTable\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]},{tfOpName:\"InitializeTableV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]}];var HC={};Ge(HC,{json:()=>qq});var qq=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var KC={};Ge(KC,{json:()=>jq});var jq=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var qC={};Ge(qC,{json:()=>Xq});var Xq=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]}];var jC={};Ge(jC,{json:()=>Yq});var Yq=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"normalization\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!0,notSupported:!0}]}];var XC={};Ge(XC,{json:()=>Qq});var Qq=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var YC={};Ge(YC,{json:()=>Zq});var Zq=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}];var QC={};Ge(QC,{json:()=>Jq});var Jq=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var ZC={};Ge(ZC,{json:()=>e6});var e6=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var JC={};Ge(JC,{json:()=>t6});var t6=[{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var eS={};Ge(eS,{json:()=>r6});var r6=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var ml=class{constructor(){let e=[PC,MC,LC,BC,VC,zC,WC,UC,GC,HC,KC,qC,jC,XC,YC,QC,ZC,JC,eS],t=[].concat(...e.map(o=>o.json));this.opMappers=t.reduce((o,n)=>(o[n.tfOpName]=n,o),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let o=e.node,n=[],s=[],a=[],i=o.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?n.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&a.push(h[g.name]),h),{}),p=[],u=[],c={},l={};t!=null&&(c=this.mapSignatureEntries(t.inputs),l=this.mapSignatureEntries(t.outputs));let m=Object.keys(i);m.forEach(h=>{let g=i[h];g.inputNames.forEach((x,b)=>{let[C,,w]=as(x),k=i[C];if(k.outputs!=null){let _=k.outputs.indexOf(w);if(_!==-1){let E=`${C}:${_}`;g.inputNames[b]=E}}g.inputs.push(k),k.children.push(g)})}),Object.keys(l).length===0?m.forEach(h=>{let g=i[h];g.children.length===0&&u.push(g)}):Object.keys(l).forEach(h=>{let[g]=as(h),x=i[g];x!=null&&(x.signatureKey=l[h],u.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=as(h),x=i[g];x&&(x.signatureKey=c[h],p.push(x))}):p=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let f={nodes:i,inputs:p,outputs:u,weights:s,placeholders:n,signature:t,functions:d};return a.length>0&&(f.initNodes=a),f}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,o)=>(t[e[o].name]=o,t),{})}mapNode(e){let t=Gd(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let o={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith(\"^\")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(o.inputParams=t.inputs.reduce((n,s)=>(n[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},n),{})),t.attrs!=null&&(o.attrParams=t.attrs.reduce((n,s)=>{let a=s.type,i;switch(s.type){case\"string\":i=Kd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Kd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":i=Jd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Jd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":i=jd(e.attr,s.tfName,s.defaultValue||0),i===void 0&&s.tfDeprecatedName&&(i=jd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":i=Zd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Zd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":i=qd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=qd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":i=tf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=tf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":i=Qd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Qd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":i=ef(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=ef(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":i=Xd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Xd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":i=Yd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Yd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":i=AN(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=AN(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${e.op}`)}return n[s.name]={value:i,type:a},n},{})),o}mapFunction(e){let t=e.nodeDef,o=[],n=[],s={};t!=null&&(s=t.reduce((l,m)=>(l[m.name]=this.mapNode(m),m.op===\"Const\"&&n.push(l[m.name]),l),{}));let a=[],i=[];e.signature.inputArg.forEach(l=>{let[m]=as(l.name),d={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:tS(l.type),type:\"dtype\"}},children:[]};d.signatureKey=l.name,a.push(d),s[m]=d}),Object.keys(s).forEach(l=>{let m=s[l];m.inputNames.forEach((d,f)=>{let[h,,g]=as(d),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let C=`${h}:${b}`;m.inputNames[f]=C}}m.inputs.push(x),x.children.push(m)})});let u=e.ret;e.signature.outputArg.forEach(l=>{let[m,d]=as(u[l.name]),f=s[m];f!=null&&(f.defaultOutput=d,i.push(f))});let c=this.mapArgsToSignature(e);return{nodes:s,inputs:a,outputs:i,weights:n,placeholders:o,signature:c}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o),t),{}),outputs:e.signature.outputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o,e.ret),t),{})}}mapArgToTensorInfo(e,t){let o=e.name;return t!=null&&(o=t[o]),{name:o,dtype:e.type}}};function o6(r){let e=O().global;if(typeof e.atob!=\"undefined\")return e.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function RN(r,e){let t=Array.isArray(r)?String.fromCharCode.apply(null,r):o6(r);return e?t:t.toLowerCase()}function Kd(r,e,t,o=!1){let n=r[e];return n!=null?RN(n.s,o):t}function qd(r,e,t){let o=r[e];return o?o.b:t}function jd(r,e,t){let o=r[e]||{},n=o.i!=null?o.i:o.f!=null?o.f:t;return typeof n==\"number\"?n:parseInt(n,10)}function tS(r){switch(typeof r==\"string\"&&(r=ao[r]),r){case ao.DT_FLOAT:case ao.DT_HALF:return\"float32\";case ao.DT_INT32:case ao.DT_INT64:case ao.DT_INT8:case ao.DT_UINT8:return\"int32\";case ao.DT_BOOL:return\"bool\";case ao.DT_DOUBLE:return\"float32\";case ao.DT_STRING:return\"string\";default:return null}}function AN(r,e,t){let o=r[e];return o&&o.func?o.func.name:t}function Xd(r,e,t){let o=r[e];return o&&o.type?tS(o.type):t}function Yd(r,e,t){let o=r[e];return o&&o.list&&o.list.type?o.list.type.map(n=>tS(n)):t}function DN(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(e=>typeof e.size==\"number\"?e.size:parseInt(e.size,10)):[]}function Qd(r,e,t){let o=r[e];return o&&o.shape?DN(o.shape):t}function Zd(r,e,t){let o=r[e];return o?((o.list.f&&o.list.f.length?o.list.f:o.list.i)||[]).map(n=>typeof n==\"number\"?n:parseInt(n,10)):t}function Jd(r,e,t,o=!1){let n=r[e];return n&&n.list&&n.list.s?n.list.s.map(s=>RN(s,o)):t}function ef(r,e,t){let o=r[e];return o&&o.list&&o.list.shape?o.list.shape.map(n=>DN(n)):t}function tf(r,e,t){let o=r[e];return o&&o.list&&o.list.b?o.list.b:t}var rf=class{constructor(e,t,o){this.node=e,this.tensorMap=t,this.context=o,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,s)=>(n[s]=this.getAttr(s),n),{}))}getInput(e){return Gt(e,this.tensorMap,this.context)}getAttr(e,t){let o=this.node.rawAttrs[e];if(o.tensor!=null)return Gt(e,this.tensorMap,this.context);if(o.i!=null||o.f!=null)return jd(this.node.rawAttrs,e,t);if(o.s!=null)return Kd(this.node.rawAttrs,e,t);if(o.b!=null)return qd(this.node.rawAttrs,e,t);if(o.shape!=null)return Qd(this.node.rawAttrs,e,t);if(o.type!=null)return Xd(this.node.rawAttrs,e,t);if(o.list!=null){if(o.list.i!=null||o.list.f!=null)return Zd(this.node.rawAttrs,e,t);if(o.list.s!=null)return Jd(this.node.rawAttrs,e,t);if(o.list.shape!=null)return ef(this.node.rawAttrs,e,t);if(o.list.b!=null)return tf(this.node.rawAttrs,e,t);if(o.list.type!=null)return Yd(this.node.rawAttrs,e,t)}return t}};var Ye={};Ge(Ye,{OP_SCOPE_SUFFIX:()=>jb,abs:()=>Yt,acos:()=>G0,acosh:()=>H0,add:()=>be,addN:()=>K0,all:()=>q0,any:()=>j0,argMax:()=>X0,argMin:()=>Y0,asin:()=>Q0,asinh:()=>Z0,atan:()=>J0,atan2:()=>ev,atanh:()=>tv,avgPool:()=>qm,avgPool3d:()=>nv,basicLSTMCell:()=>sv,batchNorm:()=>_i,batchNorm2d:()=>iv,batchNorm3d:()=>uv,batchNorm4d:()=>pv,batchToSpaceND:()=>jm,bincount:()=>Xm,booleanMaskAsync:()=>VG,broadcastArgs:()=>cv,broadcastTo:()=>$i,buffer:()=>le,cast:()=>je,ceil:()=>lv,clipByValue:()=>mv,clone:()=>Lr,complex:()=>Tr,concat:()=>xt,concat1d:()=>dv,concat2d:()=>fv,concat3d:()=>hv,concat4d:()=>gv,conv1d:()=>xv,conv2d:()=>Ei,conv2dTranspose:()=>yv,conv3d:()=>bv,conv3dTranspose:()=>Sv,cos:()=>wv,cosh:()=>Iv,cosineWindow:()=>al,cumprod:()=>vv,cumsum:()=>kv,denseBincount:()=>Nv,depthToSpace:()=>Tv,depthwiseConv2d:()=>Bp,diag:()=>_v,dilation2d:()=>$v,div:()=>He,divNoNan:()=>Av,dot:()=>Rv,dropout:()=>ZG,einsum:()=>Dv,elu:()=>Jm,enclosingPowerOfTwo:()=>CC,equal:()=>Zm,erf:()=>Fv,euclideanNorm:()=>Mv,exp:()=>So,expandDims:()=>Ra,expm1:()=>Lv,eye:()=>ed,fft:()=>zp,fill:()=>Us,floor:()=>td,floorDiv:()=>Km,fused:()=>SC,gather:()=>rd,gatherND:()=>YG,greater:()=>uu,greaterEqual:()=>od,ifft:()=>du,imag:()=>Ri,image:()=>eK,inTopKAsync:()=>eH,irfft:()=>Td,isFinite:()=>Bv,isInf:()=>Vv,isNaN:()=>zv,leakyRelu:()=>nd,less:()=>Wv,lessEqual:()=>Vp,linalg:()=>tK,linspace:()=>Uv,localResponseNormalization:()=>Gv,log:()=>Da,log1p:()=>sd,logSigmoid:()=>Hv,logSoftmax:()=>Kv,logSumExp:()=>ud,logicalAnd:()=>pu,logicalNot:()=>pd,logicalOr:()=>cd,logicalXor:()=>qv,losses:()=>rK,lowerBound:()=>jv,matMul:()=>Xe,max:()=>Gs,maxPool:()=>md,maxPool3d:()=>Xv,maxPoolWithArgmax:()=>Yv,maximum:()=>dd,mean:()=>cu,meshgrid:()=>Qv,min:()=>rl,minimum:()=>fd,mirrorPad:()=>Zv,mod:()=>Jv,moments:()=>ek,movingAverage:()=>UG,mul:()=>ne,multiRNNCell:()=>tk,multinomial:()=>rk,neg:()=>Cr,norm:()=>iu,notEqual:()=>hd,oneHot:()=>nl,ones:()=>Hs,onesLike:()=>ok,op:()=>N,outerProduct:()=>nk,pad:()=>Ks,pad1d:()=>sk,pad2d:()=>ak,pad3d:()=>ik,pad4d:()=>uk,pool:()=>pk,pow:()=>Aa,prelu:()=>xd,print:()=>Hm,prod:()=>ck,raggedGather:()=>lk,raggedRange:()=>mk,raggedTensorToTensor:()=>dk,rand:()=>fk,randomGamma:()=>Ok,randomNormal:()=>Id,randomStandardNormal:()=>Pk,randomUniform:()=>vd,range:()=>Di,real:()=>Fa,reciprocal:()=>Mk,relu:()=>Fi,relu6:()=>kd,reshape:()=>W,reverse:()=>no,reverse1d:()=>Lk,reverse2d:()=>Bk,reverse3d:()=>Vk,reverse4d:()=>zk,rfft:()=>Wp,round:()=>Nd,rsqrt:()=>Wk,scalar:()=>Ce,scatterND:()=>HG,searchSorted:()=>ol,selu:()=>Uk,separableConv2d:()=>Gk,setdiff1dAsync:()=>Hk,sigmoid:()=>Ws,sign:()=>Kk,signal:()=>JH,sin:()=>qk,sinh:()=>jk,slice:()=>Ke,slice1d:()=>Xk,slice2d:()=>Yk,slice3d:()=>Qk,slice4d:()=>Zk,softmax:()=>Jk,softplus:()=>id,spaceToBatchND:()=>gd,sparse:()=>oK,sparseToDense:()=>jG,spectral:()=>ZH,split:()=>Oa,sqrt:()=>$r,square:()=>Qt,squaredDifference:()=>_d,squeeze:()=>Up,stack:()=>Sr,step:()=>$d,stridedSlice:()=>e1,string:()=>nK,sub:()=>ke,sum:()=>et,tan:()=>t1,tanh:()=>tl,tensor:()=>nr,tensor1d:()=>dr,tensor2d:()=>Oi,tensor3d:()=>Ed,tensor4d:()=>r1,tensor5d:()=>o1,tensor6d:()=>n1,tile:()=>Ai,topk:()=>s1,transpose:()=>Gp,truncatedNormal:()=>a1,unique:()=>i1,unsortedSegmentSum:()=>u1,unstack:()=>so,upperBound:()=>p1,variable:()=>c1,where:()=>ss,whereAsync:()=>Rd,zeros:()=>Br,zerosLike:()=>Ut});var FN=(r,e,t,o=Ye)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[o.add(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"AddN\":return[o.addN(I(\"tensors\",r,e,t))];case\"FloorMod\":case\"Mod\":return[o.mod(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Mul\":return[o.mul(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"RealDiv\":case\"Div\":return[o.div(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"DivNoNan\":return[o.divNoNan(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"FloorDiv\":return[o.floorDiv(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Sub\":return[o.sub(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Minimum\":return[o.minimum(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Maximum\":return[o.maximum(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Pow\":return[o.pow(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"SquaredDifference\":return[o.squaredDifference(I(\"a\",r,e,t),I(\"b\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ON=(r,e,t,o=Ye)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[o.abs(I(\"x\",r,e,t))];case\"Acos\":return[o.acos(I(\"x\",r,e,t))];case\"Acosh\":return[o.acosh(I(\"x\",r,e,t))];case\"Asin\":return[o.asin(I(\"x\",r,e,t))];case\"Asinh\":return[o.asinh(I(\"x\",r,e,t))];case\"Atan\":return[o.atan(I(\"x\",r,e,t))];case\"Atan2\":return[o.atan2(I(\"x\",r,e,t),I(\"y\",r,e,t))];case\"Atanh\":return[o.atanh(I(\"x\",r,e,t))];case\"Ceil\":return[o.ceil(I(\"x\",r,e,t))];case\"Complex\":return[o.complex(I(\"real\",r,e,t),I(\"imag\",r,e,t))];case\"Cos\":return[o.cos(I(\"x\",r,e,t))];case\"Cosh\":return[o.cosh(I(\"x\",r,e,t))];case\"Elu\":return[o.elu(I(\"x\",r,e,t))];case\"Erf\":return[o.erf(I(\"x\",r,e,t))];case\"Exp\":return[o.exp(I(\"x\",r,e,t))];case\"Expm1\":return[o.expm1(I(\"x\",r,e,t))];case\"Floor\":return[o.floor(I(\"x\",r,e,t))];case\"Log\":return[o.log(I(\"x\",r,e,t))];case\"Log1p\":return[o.log1p(I(\"x\",r,e,t))];case\"Imag\":return[o.imag(I(\"x\",r,e,t))];case\"Neg\":return[o.neg(I(\"x\",r,e,t))];case\"Reciprocal\":return[o.reciprocal(I(\"x\",r,e,t))];case\"Real\":return[o.real(I(\"x\",r,e,t))];case\"Relu\":return[o.relu(I(\"x\",r,e,t))];case\"Round\":return[o.round(I(\"x\",r,e,t))];case\"Selu\":return[o.selu(I(\"x\",r,e,t))];case\"Sigmoid\":return[o.sigmoid(I(\"x\",r,e,t))];case\"Sin\":return[o.sin(I(\"x\",r,e,t))];case\"Sign\":return[o.sign(I(\"x\",r,e,t))];case\"Sinh\":return[o.sinh(I(\"x\",r,e,t))];case\"Softplus\":return[o.softplus(I(\"x\",r,e,t))];case\"Sqrt\":return[o.sqrt(I(\"x\",r,e,t))];case\"Square\":return[o.square(I(\"x\",r,e,t))];case\"Tanh\":return[o.tanh(I(\"x\",r,e,t))];case\"Tan\":return[o.tan(I(\"x\",r,e,t))];case\"ClipByValue\":return[o.clipByValue(I(\"x\",r,e,t),I(\"clipValueMin\",r,e,t),I(\"clipValueMax\",r,e,t))];case\"Relu6\":return[o.relu6(I(\"x\",r,e,t))];case\"Rsqrt\":return[o.rsqrt(Gt(r.inputNames[0],e,t))];case\"Prod\":return[o.prod(I(\"x\",r,e,t),I(\"axes\",r,e,t))];case\"LeakyRelu\":return[o.leakyRelu(I(\"x\",r,e,t),I(\"alpha\",r,e,t))];case\"Prelu\":return[o.prelu(I(\"x\",r,e,t),I(\"alpha\",r,e,t))];case\"IsNan\":return[o.isNaN(Gt(r.inputNames[0],e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Vr(r,e,t=\"\"){if(!(typeof r==\"number\"||typeof e==\"number\")){y.assert(r.length===e.length,()=>t+` Shapes ${r} and ${e} must match`);for(let o=0;ot+` Shapes ${r} and ${e} must match`)}}}function PN(r){return!(typeof r==\"number\"||r.some(e=>e<0))}function Hp(r,e,t){let o=of(r,t),n=!PN(o);if(n&&e.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${o}`);if(n&&e.forEach(s=>{o=of(s.shape,o)}),!PN(o))throw new Error(`Non-fully-defined elementShape: ${o}`);return o}function of(r,e){if(typeof r==\"number\")return e;if(typeof e==\"number\")return r;if(r.length!==e.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${e}`);let t=[];for(let o=0;o=0&&s>=0&&n!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${e}`);t[o]=n>=0?n:s}return t}var nf=class{constructor(e,t,o,n,s,a,i){this.name=e,this.dtype=t,this.maxSize=o,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=a,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=Ce(0),_r(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let o=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e},\n because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Vr(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),o.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(o.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);o.tensor=t,_r(t),o.written=!0,this.tensors[e]=o}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((o,n)=>this.write(o,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${o} vs. ${this.maxSize})`);this.writeMany(e,so(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let o=0,n=e.map(p=>(o+=p,o));if(o!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${o}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let s=o===0?0:t.size/o,a=[];Ee(()=>{t=W(t,[1,o,s]);for(let p=0;p{if(o!==s.dtype)throw new Error(`Invalid data types; op elements ${o}, but list elements ${s.dtype}`);Vr(t,s.shape,\"TensorList shape mismatch: \"),_r(s)}),this.idTensor=Ce(0),this.maxNumElements=n,_r(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Ba([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,o=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(o!==-1&&this.tensors.length!==o)throw new Error(`Operation expected a list with ${o} elements but got a list with ${this.tensors.length} elements.`);Vr(e,this.elementShape,\"TensorList shape mismatch: \");let n=Hp(this.elementShape,this.tensors,e);return Ee(()=>{let s=this.tensors.map(a=>W(a,n));return Sr(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let o=Hp(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Vr(n.shape,e,\"TensorList shape mismatch: \"),W(n,o)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Vr(e.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");_r(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Ba([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let o=0;othis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Vr(this.tensors[e].shape,t,\"TensorList shape mismatch: \");let n=Hp(this.elementShape,this.tensors,t);return W(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Vr(this.elementShape,t.shape,\"TensorList shape mismatch: \"),_r(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,o){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Vr(this.elementShape,o,\"TensorList shape mismatch: \"),e=e.slice(0,this.size());let n=Hp(this.elementShape,this.tensors,o);return e.length===0?nr([],[0].concat(n)):Ee(()=>{let s=e.map(a=>W(this.tensors[a],n));return Sr(s,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Vr(this.elementShape,t,\"TensorList shape mismatch: \");let o=Hp(this.elementShape,this.tensors,t);return this.size()===0?nr([],[0].concat(o)):Ee(()=>{let n=this.tensors.map(s=>W(s,o));return xt(n,0)})}};function MN(r,e,t){let o=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==t)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${t}`);let n=r.shape.slice(1);Vr(n,e,\"TensorList shape mismatch: \");let s=so(r);return new Ba(s,e,o)}function LN(r,e,t,o){return new Ba([],r,e,o)}function BN(r,e,t,o){if(e.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${r.shape[0]}`);let n=Math.max(...e);if(o!=null&&o!==-1&&n>=o)throw new Error(`Max index must be < array size (${n} vs. ${o})`);let s=new Ba([],t,r.dtype,o),a=so(r,0);return e.forEach((i,p)=>{s.setItem(i,a[p])}),s}function VN(r,e,t){let o=0,n=e.map(c=>(o+=c,o));if(o!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${o}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),a=of(s,t),i=o===0?0:r.size/o,p=Ee(()=>{let c=[];r=W(r,[1,o,i]);for(let l=0;l{switch(r.op){case\"If\":case\"StatelessIf\":{let o=I(\"thenBranch\",r,e,t),n=I(\"elseBranch\",r,e,t),s=I(\"cond\",r,e,t),a=I(\"args\",r,e,t);return(await s.data())[0]?t.functionMap[o].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap):t.functionMap[n].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap)}case\"While\":case\"StatelessWhile\":{let o=I(\"body\",r,e,t),n=I(\"cond\",r,e,t),s=I(\"args\",r,e,t),a=await t.functionMap[n].executeFunctionAsync(s,t.tensorArrayMap,t.tensorListMap),i=s.map(c=>c.id),p=await a[0].data();a.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=s;for(;p[0];){let c=u;u=await t.functionMap[o].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);let l=u.map(d=>d.id);c.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()});let m=await t.functionMap[n].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);p=await m[0].data(),m.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()})}return u}case\"LoopCond\":{let o=I(\"pred\",r,e,t);return[is(o)]}case\"Switch\":{let o=I(\"pred\",r,e,t),n=I(\"data\",r,e,t);return n.kept||(n=is(n)),(await o.data())[0]?[void 0,n]:[n,void 0]}case\"Merge\":{let o=r.inputNames.find(n=>Gt(n,e,t)!==void 0);if(o){let n=Gt(o,e,t);return[is(n)]}return}case\"Enter\":{let o=I(\"frameName\",r,e,t),n=I(\"tensor\",r,e,t);return t.enterFrame(o),[is(n)]}case\"Exit\":{let o=I(\"tensor\",r,e,t);return t.exitFrame(),[is(o)]}case\"NextIteration\":{let o=I(\"tensor\",r,e,t);return t.nextIteration(),[is(o)]}case\"TensorArrayV3\":{let o=I(\"size\",r,e,t),n=I(\"dtype\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"dynamicSize\",r,e,t),i=I(\"clearAfterRead\",r,e,t),p=I(\"identicalElementShapes\",r,e,t),u=I(\"name\",r,e,t),c=new nf(u,n,o,s,p,a,i);return t.addTensorArray(c),[c.idTensor,Ce(1)]}case\"TensorArrayWriteV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorArray(o.id);return a.write(n,s),[a.idTensor]}case\"TensorArrayReadV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"index\",r,e,t);return[t.getTensorArray(o.id).read(n)]}case\"TensorArrayGatherV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"dtype\",r,e,t);return[t.getTensorArray(o.id).gather(n,s)]}case\"TensorArrayScatterV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorArray(o.id);return a.scatter(n,s),[a.idTensor]}case\"TensorArrayConcatV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id),s=I(\"dtype\",r,e,t);return[n.concat(s)]}case\"TensorArraySplitV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"tensor\",r,e,t),s=I(\"lengths\",r,e,t),a=t.getTensorArray(o.id);return a.split(s,n),[a.idTensor]}case\"TensorArraySizeV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id);return[Ce(n.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id);return n.clearAndClose(),[n.idTensor]}case\"TensorListSetItem\":{let o=I(\"tensorListId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorList(o.id);return a.setItem(n,s),[a.idTensor]}case\"TensorListGetItem\":{let o=I(\"tensorListId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).getItem(n,s,a)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let o=I(\"indices\",r,e,t),n=I(\"tensor\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"numElements\",r,e,t),i=BN(n,o,s,a);return t.addTensorList(i),[i.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let o=I(\"elementShape\",r,e,t),n=I(\"elementDType\",r,e,t),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let a=I(s,r,e,t),i=r.op===\"TensorListReserve\"?-1:a,p=LN(o,n,a,i);return t.addTensorList(p),[p.idTensor]}case\"TensorListGather\":{let o=I(\"tensorListId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).gather(n,a,s)]}case\"TensorListStack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t),a=I(\"numElements\",r,e,t);return[t.getTensorList(o.id).stack(n,s,a)]}case\"TensorListFromTensor\":{let o=I(\"tensor\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t),a=MN(o,n,s);return t.addTensorList(a),[a.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let o=I(\"tensorListId\",r,e,t),n=t.getTensorList(o.id),s=I(\"dtype\",r,e,t),a=I(\"elementShape\",r,e,t);return[n.concat(s,a)]}case\"TensorListPushBack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"tensor\",r,e,t),s=t.getTensorList(o.id);return s.pushBack(n),[s.idTensor]}case\"TensorListPopBack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).popBack(n,s)]}case\"TensorListSplit\":{let o=I(\"tensor\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"lengths\",r,e,t),a=VN(o,s,n);return t.addTensorList(a),[a.idTensor]}case\"TensorListLength\":{let o=I(\"tensorListId\",r,e,t),n=t.getTensorList(o.id);return[Ce(n.size(),\"int32\")]}case\"TensorListResize\":{let o=I(\"tensorListId\",r,e,t),n=I(\"size\",r,e,t),a=t.getTensorList(o.id).resize(n);return t.addTensorList(a),[a.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function WN(r,e,t){let[o,n]=I(\"fusedOps\",r,e,t),s=o===\"biasadd\",a=!s,i=n===\"prelu\",p=o===\"fusedbatchnorm\",u=I(\"numArgs\",r,e,t);if(s){if(i&&u!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!i&&s&&u!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(p)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=I(\"strides\",r,e,t),l=ll(r,e,t),m=I(\"dataFormat\",r,e,t).toUpperCase(),d=I(\"dilations\",r,e,t),[f,h]=I(\"args\",r,e,t);a&&(h=f,f=void 0);let g=I(\"leakyreluAlpha\",r,e,t);return{stride:c,pad:l,dataFormat:m,dilations:d,biasArg:f,preluArg:h,activationFunc:n,leakyreluAlpha:g}}var UN=(r,e,t,o=Ye)=>{switch(r.op){case\"Conv1D\":{let n=I(\"stride\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilation\",r,e,t);return[o.conv1d(I(\"x\",r,e,t),I(\"filter\",r,e,t),n,s,a,i)]}case\"Conv2D\":{let n=I(\"strides\",r,e,t),s=ll(r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilations\",r,e,t);return[o.conv2d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2]],s,a,[i[1],i[2]])]}case\"_FusedConv2D\":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=WN(r,e,t);return[o.fused.conv2d({x:I(\"x\",r,e,t),filter:I(\"filter\",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case\"FusedDepthwiseConv2dNative\":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=WN(r,e,t);return[o.fused.depthwiseConv2d({x:I(\"x\",r,e,t),filter:I(\"filter\",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let n=I(\"outputShape\",r,e,t),s=I(\"strides\",r,e,t),a=ll(r,e,t);return[o.conv2dTranspose(I(\"x\",r,e,t),I(\"filter\",r,e,t),n,[s[1],s[2]],a)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let n=I(\"strides\",r,e,t),s=ll(r,e,t),a=I(\"dilations\",r,e,t),i=I(\"dataFormat\",r,e,t).toUpperCase();return[o.depthwiseConv2d(I(\"input\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2]],s,i,[a[1],a[2]])]}case\"Conv3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilations\",r,e,t);return[o.conv3d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2],n[3]],s,a,[i[1],i[2],i[3]])]}case\"AvgPool\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.avgPool(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case\"MaxPool\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.maxPool(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case\"MaxPoolWithArgmax\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t),i=I(\"includeBatchInIndex\",r,e,t),{result:p,indexes:u}=o.maxPoolWithArgmax(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s,i);return[p,u]}case\"AvgPool3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.avgPool3d(I(\"x\",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case\"MaxPool3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.maxPool3d(I(\"x\",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case\"Dilation2D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dilations\",r,e,t),i=n[1],p=n[2],u=a[1],c=a[2];return[o.dilation2d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[i,p],s,[u,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var GN=(r,e,t,o=Ye)=>{switch(r.op){case\"Fill\":{let n=I(\"shape\",r,e,t),s=I(\"dtype\",r,e,t),a=I(\"value\",r,e,t);return[o.fill(n,a,s)]}case\"LinSpace\":{let n=I(\"start\",r,e,t),s=I(\"stop\",r,e,t),a=I(\"num\",r,e,t);return[o.linspace(n,s,a)]}case\"Multinomial\":{let n=I(\"logits\",r,e,t),s=I(\"numSamples\",r,e,t),a=I(\"seed\",r,e,t);return[o.multinomial(n,s,a)]}case\"OneHot\":{let n=I(\"indices\",r,e,t),s=I(\"depth\",r,e,t),a=I(\"onValue\",r,e,t),i=I(\"offValue\",r,e,t),p=I(\"dtype\",r,e,t);return[o.oneHot(n,s,a,i,p)]}case\"Ones\":return[o.ones(I(\"shape\",r,e,t),I(\"dtype\",r,e,t))];case\"OnesLike\":return[o.onesLike(I(\"x\",r,e,t))];case\"RandomStandardNormal\":return[o.randomStandardNormal(I(\"shape\",r,e,t),I(\"dtype\",r,e,t),I(\"seed\",r,e,t))];case\"RandomUniform\":return[o.randomUniform(I(\"shape\",r,e,t),I(\"minval\",r,e,t),I(\"maxval\",r,e,t),I(\"dtype\",r,e,t))];case\"Range\":{let n=I(\"start\",r,e,t),s=I(\"stop\",r,e,t),a=I(\"step\",r,e,t);return[o.range(n,s,a,I(\"dtype\",r,e,t))]}case\"TruncatedNormal\":{let n=I(\"shape\",r,e,t),s=I(\"mean\",r,e,t),a=I(\"stdDev\",r,e,t),i=I(\"seed\",r,e,t);return[o.truncatedNormal(n,s,a,I(\"dtype\",r,e,t),i)]}case\"Zeros\":return[o.zeros(I(\"shape\",r,e,t),I(\"dtype\",r,e,t))];case\"ZerosLike\":return[o.zerosLike(I(\"x\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function rS(r,e,t){let o=I(\"boxes\",r,e,t),n=I(\"scores\",r,e,t),s=I(\"maxOutputSize\",r,e,t),a=I(\"iouThreshold\",r,e,t),i=I(\"scoreThreshold\",r,e,t),p=I(\"softNmsSigma\",r,e,t);return{boxes:o,scores:n,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:p}}var HN=async(r,e,t,o,n=Ye)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u,softNmsSigma:c}=rS(r,e,t),l=await n.image.nonMaxSuppressionWithScoreAsync(s,a,i,p,u,c);return[l.selectedIndices,l.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=rS(r,e,t),c=I(\"padToMaxOutputSize\",r,e,t),l=await n.image.nonMaxSuppressionPaddedAsync(s,a,i,p,u,c);return[l.selectedIndices,l.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=rS(r,e,t);return[await n.image.nonMaxSuppressionAsync(s,a,i,p,u)]}case\"Where\":{let s=n.cast(I(\"condition\",r,e,t),\"bool\"),a=[await n.whereAsync(s)];return s.dispose(),a}case\"ListDiff\":return n.setdiff1dAsync(I(\"x\",r,e,t),I(\"y\",r,e,t));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var KN=(r,e,t,o=Ye)=>{switch(r.op){case\"LowerBound\":{let n=I(\"sortedSequence\",r,e,t),s=I(\"values\",r,e,t);return[o.lowerBound(n,s)]}case\"TopKV2\":{let n=I(\"x\",r,e,t),s=I(\"k\",r,e,t),a=I(\"sorted\",r,e,t),i=o.topk(n,s,a);return[i.values,i.indices]}case\"UpperBound\":{let n=I(\"sortedSequence\",r,e,t),s=I(\"values\",r,e,t);return[o.upperBound(n,s)]}case\"Unique\":{let n=I(\"x\",r,e,t),s=o.unique(n);return[s.values,s.indices]}case\"UniqueV2\":{let n=I(\"x\",r,e,t),s=I(\"axis\",r,e,t),a=o.unique(n,s);return[a.values,a.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var qN=(r,e,t,o=Ye)=>{switch(r.op){case\"Const\":return e[r.name];case\"PlaceholderWithDefault\":let n=I(\"default\",r,e,t);return[Gt(r.name,e,t)||n];case\"Placeholder\":return[Gt(r.name,e,t)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=I(\"x\",r,e,t);return[is(c)]}case\"IdentityN\":return I(\"x\",r,e,t).map(c=>is(c));case\"Snapshot\":let s=I(\"x\",r,e,t);return[is(s)];case\"Shape\":return[o.tensor1d(I(\"x\",r,e,t).shape,\"int32\")];case\"ShapeN\":return I(\"x\",r,e,t).map(c=>o.tensor1d(c.shape));case\"Size\":return[o.scalar(I(\"x\",r,e,t).size,\"int32\")];case\"Rank\":return[o.scalar(I(\"x\",r,e,t).rank,\"int32\")];case\"NoOp\":return[o.scalar(1)];case\"Print\":let a=I(\"x\",r,e,t),i=I(\"data\",r,e,t),p=I(\"message\",r,e,t),u=I(\"summarize\",r,e,t);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(p);for(let c=0;ce.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Ce(this.size(),\"int32\")}async import(e,t){this.checkKeyAndValueTensor(e,t);let o=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),Ee(()=>{let n=so(t),s=o.length,a=n.length;y.assert(s===a,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${a} elements.`);for(let i=0;i{let n=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let n=o.getHashTableHandleByName(r.name);if(n!=null)return[n];{let s=I(\"keyDType\",r,e,t),a=I(\"valueDType\",r,e,t),i=new sf(s,a);return o.addHashTable(r.name,i),[i.handle]}}case\"InitializeTable\":case\"InitializeTableV2\":case\"LookupTableImport\":case\"LookupTableImportV2\":{let n=I(\"tableHandle\",r,e,t,o),s=I(\"keys\",r,e,t),a=I(\"values\",r,e,t);return[await o.getHashTableById(n.id).import(s,a)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let n=I(\"tableHandle\",r,e,t,o),s=I(\"keys\",r,e,t),a=I(\"defaultValue\",r,e,t);return[await o.getHashTableById(n.id).find(s,a)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let n=I(\"tableHandle\",r,e,t,o);return[o.getHashTableById(n.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var XN=(r,e,t,o=Ye)=>{switch(r.op){case\"ResizeBilinear\":{let n=I(\"images\",r,e,t),s=I(\"size\",r,e,t),a=I(\"alignCorners\",r,e,t),i=I(\"halfPixelCenters\",r,e,t);return[o.image.resizeBilinear(n,[s[0],s[1]],a,i)]}case\"ResizeNearestNeighbor\":{let n=I(\"images\",r,e,t),s=I(\"size\",r,e,t),a=I(\"alignCorners\",r,e,t),i=I(\"halfPixelCenters\",r,e,t);return[o.image.resizeNearestNeighbor(n,[s[0],s[1]],a,i)]}case\"CropAndResize\":{let n=I(\"image\",r,e,t),s=I(\"boxes\",r,e,t),a=I(\"boxInd\",r,e,t),i=I(\"cropSize\",r,e,t),p=I(\"method\",r,e,t),u=I(\"extrapolationValue\",r,e,t);return[o.image.cropAndResize(n,s,a,i,p,u)]}case\"ImageProjectiveTransformV3\":{let n=I(\"images\",r,e,t),s=I(\"transforms\",r,e,t),a=I(\"outputShape\",r,e,t),i=I(\"fillValue\",r,e,t),p=I(\"interpolation\",r,e,t),u=I(\"fillMode\",r,e,t);return[o.image.transform(n,s,p.toLowerCase(),u.toLowerCase(),i,a)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YN=(r,e,t,o=Ye)=>{switch(r.op){case\"Equal\":return[o.equal(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"NotEqual\":return[o.notEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Greater\":return[o.greater(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"GreaterEqual\":return[o.greaterEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Less\":return[o.less(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LessEqual\":return[o.lessEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LogicalAnd\":return[o.logicalAnd(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LogicalNot\":return[o.logicalNot(I(\"a\",r,e,t))];case\"LogicalOr\":return[o.logicalOr(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Select\":case\"SelectV2\":return[o.where(I(\"condition\",r,e,t),I(\"a\",r,e,t),I(\"b\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QN=(r,e,t,o=Ye)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[o.matMul(I(\"a\",r,e,t),I(\"b\",r,e,t),I(\"transposeA\",r,e,t),I(\"transposeB\",r,e,t))];case\"Einsum\":return[o.einsum(I(\"equation\",r,e,t),...I(\"tensors\",r,e,t))];case\"Transpose\":return[o.transpose(I(\"x\",r,e,t),I(\"perm\",r,e,t))];case\"_FusedMatMul\":let[n,s]=I(\"fusedOps\",r,e,t),a=n===\"biasadd\",i=s===\"prelu\",p=I(\"numArgs\",r,e,t),u=I(\"leakyreluAlpha\",r,e,t);if(a){if(i&&p!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!i&&p!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,l]=I(\"args\",r,e,t);return[o.fused.matMul({a:I(\"a\",r,e,t),b:I(\"b\",r,e,t),transposeA:I(\"transposeA\",r,e,t),transposeB:I(\"transposeB\",r,e,t),bias:c,activation:s,preluActivationWeights:l,leakyreluAlpha:u})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZN=(r,e,t,o=Ye)=>{switch(r.op){case\"EuclideanNorm\":return[o.euclideanNorm(I(\"x\",r,e,t),I(\"axis\",r,e,t),I(\"keepDims\",r,e,t))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[o.batchNorm(I(\"x\",r,e,t),I(\"mean\",r,e,t),I(\"variance\",r,e,t),I(\"offset\",r,e,t),I(\"scale\",r,e,t),I(\"epsilon\",r,e,t))];case\"FusedBatchNormV3\":return[o.batchNorm(I(\"x\",r,e,t),I(\"mean\",r,e,t),I(\"variance\",r,e,t),I(\"offset\",r,e,t),I(\"scale\",r,e,t),I(\"epsilon\",r,e,t))];case\"LRN\":return[o.localResponseNormalization(I(\"x\",r,e,t),I(\"radius\",r,e,t),I(\"bias\",r,e,t),I(\"alpha\",r,e,t),I(\"beta\",r,e,t))];case\"Softmax\":return[o.softmax(I(\"x\",r,e,t))];case\"LogSoftmax\":return[o.logSoftmax(I(\"x\",r,e,t))];case\"SparseToDense\":return[o.sparseToDense(I(\"sparseIndices\",r,e,t),I(\"outputShape\",r,e,t),I(\"sparseValues\",r,e,t),I(\"defaultValue\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var JN=(r,e,t,o=Ye)=>{switch(r.op){case\"RaggedGather\":{let{outputNestedSplits:n,outputDenseValues:s}=o.raggedGather(I(\"paramsNestedSplits\",r,e,t),I(\"paramsDenseValues\",r,e,t),I(\"indices\",r,e,t),I(\"outputRaggedRank\",r,e,t));return n.concat(s)}case\"RaggedRange\":{let{rtNestedSplits:n,rtDenseValues:s}=o.raggedRange(I(\"starts\",r,e,t),I(\"limits\",r,e,t),I(\"splits\",r,e,t));return[n,s]}case\"RaggedTensorToTensor\":return[o.raggedTensorToTensor(I(\"shape\",r,e,t),I(\"values\",r,e,t),I(\"defaultValue\",r,e,t),I(\"rowPartitionTensors\",r,e,t),I(\"rowPartitionTypes\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eT=(r,e,t,o=Ye)=>{switch(r.op){case\"Max\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.max(I(\"x\",r,e,t),i,p)]}case\"Mean\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.mean(I(\"x\",r,e,t),i,p)]}case\"Min\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.min(I(\"x\",r,e,t),i,p)]}case\"Sum\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.sum(I(\"x\",r,e,t),i,p)]}case\"All\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.all(I(\"x\",r,e,t),i,p)]}case\"Any\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.any(I(\"x\",r,e,t),i,p)]}case\"ArgMax\":{let i=I(\"axis\",r,e,t);return[o.argMax(I(\"x\",r,e,t),i)]}case\"ArgMin\":{let i=I(\"axis\",r,e,t);return[o.argMin(I(\"x\",r,e,t),i)]}case\"Prod\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.prod(I(\"x\",r,e,t),i,p)]}case\"Cumprod\":{let i=I(\"axis\",r,e,t),p=I(\"exclusive\",r,e,t),u=I(\"reverse\",r,e,t);return[o.cumprod(I(\"x\",r,e,t),i,p,u)]}case\"Cumsum\":{let i=I(\"axis\",r,e,t),p=I(\"exclusive\",r,e,t),u=I(\"reverse\",r,e,t);return[o.cumsum(I(\"x\",r,e,t),i,p,u)]}case\"Bincount\":let n=I(\"x\",r,e,t),s=I(\"weights\",r,e,t),a=I(\"size\",r,e,t);return[o.bincount(n,s,a)];case\"DenseBincount\":{let i=I(\"x\",r,e,t),p=I(\"weights\",r,e,t),u=I(\"size\",r,e,t),c=I(\"binaryOutput\",r,e,t);return[o.denseBincount(i,p,u,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tT=(r,e,t,o=Ye)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let n=I(\"n\",r,e,t),s=I(\"axis\",r,e,t),a=I(\"tensors\",r,e,t);return a=a.slice(0,n),[o.concat(a,s)]}case\"Gather\":{let n=I(\"x\",r,e,t),s=I(\"indices\",r,e,t);return[o.gather(n,o.cast(s,\"int32\"),0)]}case\"GatherV2\":{let n=I(\"axis\",r,e,t),s=I(\"batchDims\",r,e,t),a=I(\"x\",r,e,t),i=I(\"indices\",r,e,t);return[o.gather(a,o.cast(i,\"int32\"),n,s)]}case\"Reverse\":{let n=I(\"dims\",r,e,t),s=[];for(let i=0;i{let n=I(\"axis\",r,e,t),s=I(\"tensors\",r,e,t),a=s[0].shape,i=o.squeeze(s[0]).shape,p=s.map(u=>{let c=y.arraysEqual(u.shape,a);if(!c&&!y.arraysEqual(o.squeeze(u).shape,i))throw new Error(\"the input tensors shape does not match\");return c?u:o.reshape(u,a)});return[o.stack(p,n)]});case\"Unpack\":{let n=I(\"axis\",r,e,t),s=I(\"tensor\",r,e,t);return o.unstack(s,n)}case\"Tile\":{let n=I(\"reps\",r,e,t);return[o.tile(I(\"x\",r,e,t),n)]}case\"Split\":case\"SplitV\":{let n=I(\"axis\",r,e,t),s=I(\"numOrSizeSplits\",r,e,t),a=I(\"x\",r,e,t);return o.split(a,s,n)}case\"ScatterNd\":{let n=I(\"indices\",r,e,t),s=I(\"values\",r,e,t),a=I(\"shape\",r,e,t);return[o.scatterND(n,s,a)]}case\"GatherNd\":{let n=I(\"x\",r,e,t),s=I(\"indices\",r,e,t);return[o.gatherND(n,s)]}case\"SparseToDense\":{let n=I(\"sparseIndices\",r,e,t),s=I(\"outputShape\",r,e,t),a=I(\"sparseValues\",r,e,t),i=I(\"defaultValue\",r,e,t);return[o.sparseToDense(n,a,s,a.dtype===i.dtype?i:o.cast(i,a.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rT=(r,e,t,o=Ye)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:n,outputValues:s,emptyRowIndicator:a,reverseIndexMap:i}=o.sparse.sparseFillEmptyRows(I(\"indices\",r,e,t),I(\"values\",r,e,t),I(\"denseShape\",r,e,t),I(\"defaultValue\",r,e,t));return[n,s,a,i]}case\"SparseReshape\":{let{outputIndices:n,outputShape:s}=o.sparse.sparseReshape(I(\"inputIndices\",r,e,t),I(\"inputShape\",r,e,t),I(\"newShape\",r,e,t));return[n,s]}case\"SparseSegmentMean\":return[o.sparse.sparseSegmentMean(I(\"data\",r,e,t),I(\"indices\",r,e,t),I(\"segmentIds\",r,e,t))];case\"SparseSegmentSum\":return[o.sparse.sparseSegmentSum(I(\"data\",r,e,t),I(\"indices\",r,e,t),I(\"segmentIds\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oT=(r,e,t,o=Ye)=>{switch(r.op){case\"FFT\":return[o.fft(I(\"x\",r,e,t))];case\"IFFT\":return[o.ifft(I(\"x\",r,e,t))];case\"RFFT\":return[o.rfft(I(\"x\",r,e,t))];case\"IRFFT\":return[o.irfft(I(\"x\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nT=(r,e,t,o=Ye)=>{switch(r.op){case\"StringNGrams\":{let{nGrams:n,nGramsSplits:s}=o.string.stringNGrams(I(\"data\",r,e,t),I(\"dataSplits\",r,e,t),I(\"separator\",r,e,t),I(\"nGramWidths\",r,e,t),I(\"leftPad\",r,e,t),I(\"rightPad\",r,e,t),I(\"padWidth\",r,e,t),I(\"preserveShortSequences\",r,e,t));return[n,s]}case\"StringSplit\":{let{indices:n,values:s,shape:a}=o.string.stringSplit(I(\"input\",r,e,t),I(\"delimiter\",r,e,t),I(\"skipEmpty\",r,e,t));return[n,s,a]}case\"StringToHashBucketFast\":return[o.string.stringToHashBucketFast(I(\"input\",r,e,t),I(\"numBuckets\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sT=(r,e,t,o=Ye)=>{switch(r.op){case\"Cast\":return[o.cast(I(\"x\",r,e,t),I(\"dtype\",r,e,t))];case\"ExpandDims\":{let n=I(\"axis\",r,e,t);return[o.expandDims(I(\"x\",r,e,t),n)]}case\"Squeeze\":{let n=I(\"axis\",r,e,t);return[o.squeeze(I(\"x\",r,e,t),n)]}case\"Reshape\":return[o.reshape(I(\"x\",r,e,t),I(\"shape\",r,e,t))];case\"MirrorPad\":return[o.mirrorPad(I(\"x\",r,e,t),I(\"padding\",r,e,t),I(\"mode\",r,e,t))];case\"PadV2\":case\"Pad\":return[o.pad(I(\"x\",r,e,t),I(\"padding\",r,e,t),I(\"constantValue\",r,e,t))];case\"SpaceToBatchND\":{let n=I(\"blockShape\",r,e,t),s=I(\"paddings\",r,e,t);return[o.spaceToBatchND(I(\"x\",r,e,t),n,s)]}case\"BatchToSpaceND\":{let n=I(\"blockShape\",r,e,t),s=I(\"crops\",r,e,t);return[o.batchToSpaceND(I(\"x\",r,e,t),n,s)]}case\"DepthToSpace\":{let n=I(\"blockSize\",r,e,t),s=I(\"dataFormat\",r,e,t).toUpperCase();return[o.depthToSpace(I(\"x\",r,e,t),n,s)]}case\"BroadcastTo\":return[o.broadcastTo(I(\"x\",r,e,t),I(\"shape\",r,e,t))];case\"BroadcastArgs\":return[o.broadcastArgs(I(\"s0\",r,e,t),I(\"s1\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function oS(r,e,t,o,n=Ee){let s=((a,i,p)=>{switch(a.category){case\"arithmetic\":return n(()=>FN(a,i,p));case\"basic_math\":return n(()=>ON(a,i,p));case\"control\":return zN(a,i,p);case\"convolution\":return n(()=>UN(a,i,p));case\"creation\":return n(()=>GN(a,i,p));case\"dynamic\":return HN(a,i,p);case\"evaluation\":return n(()=>KN(a,i,p));case\"image\":return n(()=>XN(a,i,p));case\"graph\":return n(()=>qN(a,i,p));case\"logical\":return n(()=>YN(a,i,p));case\"matrices\":return n(()=>QN(a,i,p));case\"normalization\":return n(()=>ZN(a,i,p));case\"ragged\":return n(()=>JN(a,i,p));case\"reduction\":return n(()=>eT(a,i,p));case\"slice_join\":return n(()=>tT(a,i,p));case\"sparse\":return n(()=>rT(a,i,p));case\"spectral\":return n(()=>oT(a,i,p));case\"string\":return n(()=>nT(a,i,p));case\"transformation\":return n(()=>sT(a,i,p));case\"hash_table\":return jN(a,i,p,o);case\"custom\":let u=Gd(a.op);if(u&&u.customExecutor)return u.customExecutor(new rf(a,i,p));throw TypeError(`Custom op ${a.op} is not registered.`);default:throw TypeError(`Unknown op '${a.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,e,t);return y.isPromise(s)?s.then(a=>[].concat(a)):[].concat(s)}var dl=class{constructor(e={},t={},o={},n={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=o,this.functionMap=n,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?\"\":`${t.frameName}-${t.iterationId}`).join(\"/\"):\"\"}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function nS(r,e,t,o){let n=new Set,s=[],a=null,i=null,p=new Set,u=Object.keys(r).map(m=>Ir(m)[0]),c=[];o!=null&&(c=o.map(m=>Ir(m.name)[0]));let l=[...e];for(;l.length>0;){let m=l.pop();if((sS(m)||T6(m)||_6(m))&&a==null&&(a=m,i=a.children.map(d=>d.name).filter(d=>n.has(d))),n.add(m.name),t[m.name]==null&&u.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(d=>{p.has(d.name)||(p.add(d.name),l.push(d))})}}return{inputs:r,outputs:e,usedNodes:n,missingInputs:s,dynamicNode:a,syncInputs:i}}function aT(r,e,t){let{usedNodes:o,inputs:n}=t,s=[],a=Object.keys(n).map(c=>Ir(c)[0]).map(c=>r.nodes[c]),i=r.initNodes;a.forEach(c=>{o.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{o.has(c.name)&&s.push(c)}),i!=null&&i.forEach(c=>{o.has(c.name)&&s.push(c)});let p=new Set,u=[];for(;s.length>0;){let c=s.pop();p.add(c.name),e[c.name]||u.push(c),c.children.forEach(l=>{!p.has(l.name)&&o.has(l.name)&&l.inputs.every(m=>p.has(m.name))&&s.push(l)})}return u}var v6=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\",\"StatelessIf\",\"StatelessWhile\",\"if\",\"While\"],k6=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"NonMaxSuppressionV5\",\"Where\"],N6=[\"HashTable\",\"HashTableV2\",\"LookupTableImport\",\"LookupTableImportV2\",\"LookupTableFind\",\"LookupTableFindV2\",\"LookupTableSize\",\"LookupTableSizeV2\"];function sS(r){return v6.indexOf(r.op)>=0}function T6(r){return k6.indexOf(r.op)>=0}function _6(r){return N6.indexOf(r.op)>=0}var ku=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(o=>{this._functionExecutorMap[o]=new ku(e.functions[o],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(o=>e[o].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let o=e.map(s=>s.name).sort(),n=t.map(s=>s.name).sort();return o.join(this.SEPERATOR)+\"--\"+n.join(this.SEPERATOR)}compile(e,t){let o=nS(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:s,syncInputs:a}=o;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${a}]`);if(n.length>0){let i=t.map(u=>u.name),p=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${p}]. Missing the following inputs: [${n}]`)}return aT(this.graph,this.weightMap,o)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return _r(t),t}cloneTensorList(e){return e?e.map(o=>this.cloneAndKeepTensor(o)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,o])=>[t,this.cloneTensorList(o)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let o=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=o.map(l=>this.graph.nodes[Ir(l)[0]]),s=t.map(l=>Ir(l)[0]),a=s.map(l=>this.graph.nodes[l]);a.length===0&&(a=this._outputs);let i=this.getCompilationKey(n,a),p=this.compiledMap.get(i);p==null&&(p=this.compile(e,a),this.compiledMap.set(i,p));try{this.keepIntermediateTensors=O().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(l){this.keepIntermediateTensors=!1,console.warn(l.message)}let u={},c={};return Ee(()=>{let l=new dl(this.weightMap,u,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(h=>{let[g,x]=Ir(h),b=[];b[x]=e[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let d=this.getFrozenTensorIds(m),f={};for(let h=0;hGt(h,m,l))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(o=>e[o]).map(o=>o.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,o,n,s,a,i){t.category===\"control\"||a.indexOf(e)!==-1||(o[e].forEach(p=>{p!=null&&(i[p.id]=(i[p.id]||0)+t.children.length)}),t.inputs.forEach(p=>{if(p.category!==\"control\"){let u=EN(p.name,o,n);u!=null&&u.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let l=i[c.id];l===1?(c.dispose(),delete i[c.id]):l!=null&&i[c.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,o=!1,n={},s={}){this.disposeIntermediateTensors(),o||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=O().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let a=new dl(this.weightMap,n,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,a,t,o),p=t.map(m=>Gt(m,i,a)),u=p.map(m=>m.id),c=Object.keys(e).map(m=>e[m].id),l=new Set([...u,...c,...this.weightIds]);return Object.values(i).forEach(m=>{m.forEach(d=>{d&&!d.isDisposed&&!l.has(d.id)&&d.dispose()})}),this.parent==null&&a.dispose(l),p}async executeFunctionAsync(e,t,o){let n=e.reduce((s,a,i)=>(s[this.inputs[i].name]=a,s),{});return this._executeAsync(n,this.outputNodes,!0,t,o)}async executeWithControlFlow(e,t,o,n){let s=Object.keys(e),a=s.map(C=>this.graph.nodes[Ir(C)[0]]),i=o.map(C=>Ir(C)[0]),p=i.map(C=>this.graph.nodes[C]);p.length===0&&(p=this._outputs);let{usedNodes:u,missingInputs:c,dynamicNode:l,syncInputs:m}=nS(e,p,this.weightMap,this._initNodes),d=[...a,...this.graph.weights,...this._initNodes||[]].map(C=>({node:C,contexts:t.currentContext})),f=Object.assign({},this.weightMap);Object.keys(e).forEach(C=>{let[w,k]=Ir(C),_=[];_[k]=e[C],f[w]=_});let h={},g=this.getFrozenTensorIds(f),x={};for(;d.length>0;){let C=this.processStack(a,d,t,f,x,g,i,h,u);await Promise.all(C)}l==null&&!n&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let b=p.filter(C=>!sS(C)&&!Gt(C.name,f,t)).map(C=>C.name);if(b.length>0){let C=\"\";throw l!=null&&(C=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${C}`)}return f}processStack(e,t,o,n,s,a,i,p,u){let c=[];for(;t.length>0;){let l=t.pop();o.currentContext=l.contexts;let m=\"\";if(l.node.op===\"Enter\"&&I(\"isConstant\",l.node,n,o)&&([m]=as(l.node.name,o)),n[l.node.name]==null){let d=oS(l.node,n,o,this._resourceManager);m||([m]=as(l.node.name,o));let f=o.currentContext;y.isPromise(d)?c.push(d.then(h=>(n[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),o.currentContext=f,this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u),h))):(n[m]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(d)),this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u))}else this.processChildNodes(l.node,t,o,n,s,u)}return c}processChildNodes(e,t,o,n,s,a){e.children.forEach(i=>{let[p]=as(i.name,o);s[p]||!a.has(i.name)||(i.op===\"Merge\"?i.inputNames.some(u=>!!Gt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})):i.inputNames.every(u=>!!Gt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let o=e[t],[n]=Ir(t),s=this.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===o.shape.length&&o.shape.every((p,u)=>a[u]===-1||a[u]===p);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${o.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(o.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${o.dtype}`)})}mapInputs(e){var t,o;let n={};for(let s in e){let a=(o=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||o===void 0?void 0:o[s];a!=null?n[a.name]=e[s]:n[s]=e[s]}return n}checkInputs(e){let t=Object.keys(e).filter(o=>{let[n]=Ir(o);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var o,n;let s=(n=(o=this._signature)===null||o===void 0?void 0:o.outputs)===null||n===void 0?void 0:n[t];return s!=null?s.name:t},{})}checkOutputs(e){e.forEach(t=>{let[o]=Ir(t);if(!this.graph.nodes[o])throw new Error(`The output '${t}' is not found in the graph`)})}};var af=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}};var $6=\"?tfjs-format=file\",E6=\"model.json\",fl=class{constructor(e,t={},o=La){this.modelUrl=e,this.loadOptions=t,this.version=\"n/a\",this.io=o,t==null&&(this.loadOptions={}),this.resourceManager=new af}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let e=this.handler.load();return y.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,o=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(o=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=o,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new ku(ml.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let s=ml.Instance.transformGraph(e.modelInitializer);this.initializer=new ku(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e==\"string\"){let o=this.io.getSaveHandlers(e);if(o.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(o.length>1)throw new Error(`Found more than one (${o.length}) save handlers for URL '${e}'`);e=o[0]}if(e.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof it?[e]:e,o={};return t.forEach((n,s)=>o[this.structuredOutputKeys[s]]=n),o}return e}predict(e,t){let o=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(o)}async predictAsync(e,t){let o=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(o)}normalizeInputs(e){var t;if(!(e instanceof it)&&!Array.isArray(e)){let s=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(s!=null)for(let a in s){let i=s[a];i.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-o} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((s,a)=>{var i,p,u;let c=(u=(p=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||p===void 0?void 0:p[a])===null||u===void 0?void 0:u.resourceId;return c!=null?s[a]=this.resourceIdToCapturedInput[c]:s[a]=e[n++],s},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,o=Object.keys(t);for(let n=0;n1?o:o[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let o=await this.executor.executeAsync(e,t);return o.length>1?o:o[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,o)=>(t[o]=[e[o]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Ot(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function A6(r,e={},t=La){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");e==null&&(e={}),e.fromTFHub&&typeof r==\"string\"&&(r=D6(r));let o=new fl(r,e,t);return await o.load(),o}function R6(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let e;if(r instanceof Array){let[o,n]=r;if(!o)throw new Error(\"modelJSON must be the first element of the array\");if(!n||!(n instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in o))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in o))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=La.getWeightSpecs(o.weightsManifest),a=La.getModelArtifactsForJSONSync(o,s,n);e=La.fromMemorySync(a)}else if(\"load\"in r)e=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)e=La.fromMemorySync(r);else throw new Error(\"Unknown model format\");let t=new fl(e);return t.load(),t}function D6(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${E6}${$6}`}var F6=\"4.2.0\";function j(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the CPU backend.`)})}var O6=Vt.whereImpl,Pi=class extends Zr{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Fo(this,sr())}nextDataId(){return Pi.nextDataId++}write(e,t,o){this.firstUse&&(this.firstUse=!1,O().get(\"IS_NODE\")&&S.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let n={id:this.nextDataId()};return this.data.set(n,{values:e,dtype:o,refCount:1}),n}makeTensorInfo(e,t,o){let n;if(t===\"string\"&&o!=null&&o.length>0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,o,n,s){this.data.set(e,{values:t,dtype:n,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:o}=this.data.get(e);if(t===\"complex64\"){let n=this.readSync(o.real.dataId),s=this.readSync(o.imag.dataId);return S.mergeRealAndImagArrays(n,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype===\"string\")try{let o=t.map(n=>y.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return le(e.shape,e.dtype,t)}makeOutput(e,t,o){return sr().makeTensorFromTensorInfo(this.makeTensorInfo(t,o,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:o}=this.data.get(e);o!=null&&(this.disposeData(o.real.dataId,!0),this.disposeData(o.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(e){j([e],\"where\");let t=this.readSync(e.dataId);return O6(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Pi.nextDataId=0;var Zp={};Ge(Zp,{addImpl:()=>uS,bincountImpl:()=>jp,bincountReduceImpl:()=>uf,castImpl:()=>iS,ceilImpl:()=>pS,concatImpl:()=>Nu,equalImpl:()=>cS,expImpl:()=>mS,expm1Impl:()=>fS,floorImpl:()=>hS,gatherNdImpl:()=>pf,gatherV2Impl:()=>cf,greaterEqualImpl:()=>xS,greaterImpl:()=>gS,lessEqualImpl:()=>bS,lessImpl:()=>yS,linSpaceImpl:()=>lf,logImpl:()=>CS,maxImpl:()=>mf,maximumImpl:()=>SS,minimumImpl:()=>wS,multiplyImpl:()=>hl,negImpl:()=>IS,notEqualImpl:()=>vS,prodImpl:()=>kS,raggedGatherImpl:()=>df,raggedRangeImpl:()=>ff,raggedTensorToTensorImpl:()=>hf,rangeImpl:()=>_u,rsqrtImpl:()=>NS,scatterImpl:()=>Va,sigmoidImpl:()=>OT,simpleAbsImpl:()=>aS,sliceImpl:()=>$u,sparseFillEmptyRowsImpl:()=>gf,sparseReshapeImpl:()=>xf,sparseSegmentReductionImpl:()=>Qp,sqrtImpl:()=>LT,squaredDifferenceImpl:()=>_S,stridedSliceImpl:()=>yf,stringNGramsImpl:()=>Eu,stringSplitImpl:()=>Au,stringToHashBucketFastImpl:()=>Ru,subImpl:()=>ES,tileImpl:()=>bf,topKImpl:()=>Cf,transposeImpl:()=>Xp,uniqueImpl:()=>Sf});function aS(r){let e=new Float32Array(r.length);for(let t=0;t{let{x:e}=r.inputs,t=r.backend;j(e,\"abs\");let o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId).values;return o=aS(n),t.makeOutput(o,e.shape,e.dtype)},iT={kernelName:ys,backendName:\"cpu\",kernelFunc:P6};function Be(r){return(e,t,o,n,s)=>{let a=S.assertAndGetBroadcastShape(e,t),i=a.length,p=y.computeStrides(a),u=y.sizeFromShape(a),c=y.getTypedArrayFromDType(s,u),l=e.length,m=t.length,d=y.computeStrides(e),f=y.computeStrides(t),h=S.getBroadcastDims(e,a),g=S.getBroadcastDims(t,a);if(h.length+g.length===0)for(let x=0;xC[E]=0);let w=y.locToIndex(C,l,d),k=b.slice(-m);g.forEach(E=>k[E]=0);let _=y.locToIndex(k,m,f);c[x]=r(o[w],n[_])}return[c,a]}}function Ht(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=t.makeTensorInfo(o.shape,\"complex64\"),p=t.data.get(i.dataId);return p.complexTensorInfos={real:t.makeTensorInfo(o.shape,\"float32\",s),imag:t.makeTensorInfo(n.shape,\"float32\",a)},i}var uT={kernelName:ri,backendName:\"cpu\",kernelFunc:Ht};function Kp(r,e,t=\"float32\"){if(t===\"complex64\"){let n=Kp(r,e,\"float32\"),s=Kp(r,e,\"float32\");return Ht({inputs:{real:n,imag:s},backend:r})}let o=y.makeZerosTypedArray(y.sizeFromShape(e),t);return r.makeTensorInfo(e,t,o)}function ir(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var pT={kernelName:mo,backendName:\"cpu\",kernelFunc:ir};function Io(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.data.get(o.dataId).complexTensorInfos.real,s=t.data.get(n.dataId).values;return t.makeTensorInfo(n.shape,n.dtype,s)}var cT={kernelName:di,backendName:\"cpu\",kernelFunc:Io};function iS(r,e,t,o){if(o===\"int32\"){let n=Int32Array.from(r);return[e,\"int32\",n]}if(o===\"bool\"){let n=y.toTypedArray([0],t),[s,a]=Be((i,p)=>i!==p?1:0)(e,[],r,n,\"bool\");return[a,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${t} to ${o}`)}function vo(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return ir({inputs:{x:n},backend:t});let c=Kp(t,n.shape,n.dtype),l=vo({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),m=Ht({inputs:{real:l,imag:c},backend:t});return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),m}if(n.dtype===\"complex64\"){let c=Io({inputs:{input:n},backend:t}),l=vo({inputs:{x:c},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(c),l}if(!y.hasEncodingLoss(n.dtype,s)){let c=ir({inputs:{x:n},backend:t});return{dataId:c.dataId,shape:c.shape,dtype:s}}let a=t.data.get(n.dataId).values,[i,p,u]=iS(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}var lT={kernelName:co,backendName:\"cpu\",kernelFunc:vo};function Qe(r,e,t,o){return t==null?({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;j([a,i],r);let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=a.dtype===\"string\"?S.fromUint8ToStringArray(u):u,m=a.dtype===\"string\"?S.fromUint8ToStringArray(c):c,d=o||a.dtype,[f,h]=e(a.shape,i.shape,l,m,d);return p.makeTensorInfo(h,d,f)}:({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(a.dtype===\"complex64\"||i.dtype===\"complex64\"){let u=vo({inputs:{x:a},backend:p,attrs:{dtype:\"complex64\"}}),c=p.data.get(u.dataId),l=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,d=p.data.get(l.dataId).values,f=p.data.get(m.dataId).values,h=vo({inputs:{x:i},backend:p,attrs:{dtype:\"complex64\"}}),g=p.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,C=p.data.get(x.dataId).values,w=p.data.get(b.dataId).values,[k,_,E]=t(a.shape,i.shape,d,f,C,w),A=p.makeTensorInfo(E,\"float32\",k),R=p.makeTensorInfo(E,\"float32\",_),D=Ht({inputs:{real:A,imag:R},backend:p});return p.disposeIntermediateTensorInfo(u),p.disposeIntermediateTensorInfo(h),p.disposeIntermediateTensorInfo(A),p.disposeIntermediateTensorInfo(R),D}else{let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=o||a.dtype,[m,d]=e(a.shape,i.shape,u,c,l);return p.makeTensorInfo(d,l,m)}}}function qp(r){return(e,t,o,n,s,a)=>{let i=S.assertAndGetBroadcastShape(e,t),p=y.sizeFromShape(i),u=i.length,c=y.computeStrides(i),l=y.getTypedArrayFromDType(\"float32\",p),m=y.getTypedArrayFromDType(\"float32\",p),d=S.getBroadcastDims(e,i),f=S.getBroadcastDims(t,i),h=S.mergeRealAndImagArrays(o,n),g=S.mergeRealAndImagArrays(s,a),x=e.length,b=y.computeStrides(e),C=t.length,w=y.computeStrides(t);if(d.length+f.length===0)for(let k=0;kE[M]=0);let A=y.locToIndex(E,x,b),R=_.slice(-C);f.forEach(M=>R[M]=0);let D=y.locToIndex(R,C,w),P=r(h[A*2],h[A*2+1],g[D*2],g[D*2+1]);l[k]=P.real,m[k]=P.imag}return[l,m,i]}}var uS=Be((r,e)=>r+e),M6=qp((r,e,t,o)=>({real:r+t,imag:e+o})),Xs=Qe(eo,uS,M6),mT={kernelName:eo,backendName:\"cpu\",kernelFunc:Xs};function jp(r,e,t,o,n){let s=y.sizeFromShape(o),a=y.makeZerosTypedArray(n,t);for(let i=0;i=n||(s>0?a[p]+=e[i]:a[p]+=1)}return a}function uf(r,e,t,o=!1){let n=r.shape[0],s=r.shape[1],a=le([n,t],e.dtype);for(let i=0;i=t||(o?a.set(1,i,u):e.size>0?a.set(a.get(i,u)+e.get(i,p),i,u):a.set(a.get(i,u)+1,i,u))}return a}function vr(r){return(e,t,o)=>{let n=y.getTypedArrayFromDType(t,e.length);for(let s=0;s{let{x:a}=o;if(j(a,r),a.dtype===\"string\"||t===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let i=s,p=i.data.get(a.dataId).values,u=y.sizeFromShape(a.shape),c=t||a.dtype,l=y.getArrayFromDType(c,u);for(let m=0;m{let{x:a}=o;if(j(a,r),a.dtype===\"string\"||t===\"string\")throw new Error(\"unaryKernelFunc does not support string input/output\");let i=s,p=i.data.get(a.dataId).values,u=t||a.dtype,c=e(p,u,n);return i.makeTensorInfo(a.shape,u,c)}}var pS=vr(r=>Math.ceil(r)),L6=ko(Wo,pS),dT={kernelName:Wo,backendName:\"cpu\",kernelFunc:L6};function Nu(r,e,t,o){let n=y.getArrayFromDType(t,y.sizeFromShape(e));if(o&&t!==\"string\"){let s=0;r.forEach(a=>{let i=y.sizeFromShape(a.shape);n.set(a.vals,s),s+=i})}else{let s=0;r.forEach(a=>{let i=t===\"string\"?S.fromUint8ToStringArray(a.vals):a.vals,p=0;for(let u=0;ur===e?1:0),lS=Qe(en,cS,null,\"bool\"),fT={kernelName:en,backendName:\"cpu\",kernelFunc:lS};var mS=vr(r=>Math.exp(r)),dS=ko(tn,mS,\"float32\"),hT={kernelName:tn,backendName:\"cpu\",kernelFunc:dS};var fS=vr(r=>Math.expm1(r)),B6=ko(fa,fS),gT={kernelName:fa,backendName:\"cpu\",kernelFunc:B6};var hS=vr(r=>Math.floor(r)),V6=ko(on,hS),xT={kernelName:on,backendName:\"cpu\",kernelFunc:V6};function pf(r,e,t,o,n,s,a,i,p){let u=le([o,s],t);for(let c=0;c=p/s)throw new Error(`Invalid indices: ${l} does not index into ${i}`);for(let d=0;dr>e?1:0),z6=Qe(un,gS,null,\"bool\"),yT={kernelName:un,backendName:\"cpu\",kernelFunc:z6};var xS=Be((r,e)=>r>=e?1:0),W6=Qe(pn,xS,null,\"bool\"),bT={kernelName:pn,backendName:\"cpu\",kernelFunc:W6};var yS=Be((r,e)=>rr<=e?1:0),G6=Qe(dn,bS,null,\"bool\"),ST={kernelName:dn,backendName:\"cpu\",kernelFunc:G6};function lf(r,e,t){let o=(e-r)/(t-1),n=y.makeZerosTypedArray(t,\"float32\");n[0]=r;for(let s=1;sMath.log(r)),H6=ko(fn,CS),wT={kernelName:fn,backendName:\"cpu\",kernelFunc:H6};function mf(r,e,t,o){let n=y.getTypedArrayFromDType(o,y.sizeFromShape(t));for(let s=0;si)&&(i=u)}n[s]=i}return n}var SS=Be((r,e)=>Math.max(r,e)),K6=Qe(bn,SS),IT={kernelName:bn,backendName:\"cpu\",kernelFunc:K6};var wS=Be((r,e)=>Math.min(r,e)),q6=Qe(In,wS),vT={kernelName:In,backendName:\"cpu\",kernelFunc:q6};var hl=Be((r,e)=>r*e),j6=qp((r,e,t,o)=>({real:r*t-e*o,imag:r*o+e*t})),Tu=Qe(kn,hl,j6),kT={kernelName:kn,backendName:\"cpu\",kernelFunc:Tu};function IS(r,e,t){let o=y.createScalarValue(-1,t);return hl([],e,o,r,t)}function X6(r){let{inputs:e,backend:t}=r,{x:o}=e;j(o,\"neg\");let n=t.data.get(o.dataId).values,[s,a]=IS(n,o.shape,o.dtype);return t.makeTensorInfo(a,o.dtype,s)}var NT={kernelName:vs,backendName:\"cpu\",kernelFunc:X6};var vS=Be((r,e)=>r!==e?1:0),Y6=Qe(Nn,vS,null,\"bool\"),TT={kernelName:Nn,backendName:\"cpu\",kernelFunc:Y6};function Xp(r,e,t,o,n){let s=e.length,a=y.sizeFromShape(e),i=y.computeStrides(e),p=y.computeStrides(n),u=y.getTypedArrayFromDType(t,y.sizeFromShape(n));for(let c=0;ct.disposeIntermediateTensorInfo(b)),t.makeTensorInfo(x,g,f)}var $T={kernelName:Dn,backendName:\"cpu\",kernelFunc:Q6};function Z6(r,e,t){r.forEach((o,n)=>{if(o<0||o>=t){let s=y.indexToLoc(n,e.length,y.computeStrides(e)).join(\",\");throw new Error(`indices[${s}] = ${o} is not in [0, ${t})`)}})}function J6(r,e){for(let t=0;tn)throw new Error(\"Ragged splits must not point past values\");for(let s=1;so[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function ej(r,e,t,o){let n=[],s=0,a=e.length-1+t.length,i=new Array(a).fill(null).map(()=>[0]);J6(t,o);let p=1;for(let u=0;u=0){let h=i[f],g=h[h.length-1]-d[c];for(let x=c;xn[a]=s)}return e}function ET(r,e){let t=r.slice(0,e);for(;t.length1)throw new Error(\"starts must be a scalar or vector\");if(n.length>1)throw new Error(\"limits must be a scalar or vector\");if(a.length>1)throw new Error(\"deltas must be a scalar or vector\");let i=e.length===0,p=n.length===0,u=a.length===0,c=[];i||c.push(e[0]),p||c.push(n[0]),u||c.push(a[0]);for(let g=1;g0&&bx)w=0;else if(w=Math.ceil(Math.abs((b-x)/C)),w>AT)throw new Error(`Requires ((limit - start) / delta) <= ${AT}`);m[g+1]=m[g]+w}let d=m[l],f=y.getArrayFromDType(t,d),h=0;for(let g=0;go&&(o=s)}return o}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let o=0,n=e[0],s=0;for(let a=1;a\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(e,t,o,n){let s=e.length,a=[];for(let i=0;i0&&a.length!==e[s-1])throw new Error(\"Invalid row split size.\");return a}calculateOutputIndexValueRowID(e,t,o,n){let s=e.length,a=[];if(s===0)return[];let i=0,p=e[0];if(p>=t.length)throw new Error(`Got currentValueRowId=${p}, which is not less than ${t.length}`);let u=t[p];a.push(u);for(let c=1;c=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${l} which is not less than ${t.length}`);u=t[l]}a.push(u)}if(a.length!==e.length)throw new Error(\"Invalid row ids.\");return a}calculateOutputIndex(e,t,o,n){let s=this.getRowPartitionTensor(e),a=this.getRowPartitionTypeByDimension(e);switch(a){case No.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,t,o,n);case No.ROW_SPLITS:if(s.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(s,t,o,n);default:throw new Error(`Unsupported partition type: ${No[a]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let t=this.rowPartitionTypes[0];switch(t){case No.FIRST_DIM_SIZE:return e[0];case No.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case No.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${No[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let t=this.getFirstDimensionSize(),o=this.calculateOutputSize(t),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let p=n.length-2;p>=0;--p)n[p]=n[p+1]*o[p+1];let s=DT(o,!1),a=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(n[0]*o[0]>0){let p=this.calculateFirstParentOutputIndex(t,n[0],o[0]);for(let u=1;u<=this.raggedRank;++u)p=this.calculateOutputIndex(u-1,p,n[u],o[u]);this.setOutput(this.raggedRank,p,a,s)}return[s,a]}setOutput(e,t,o,n){if(o.length===0)return;let s=this.values,a=o,i=n.slice();i=i.slice(e+1);let p=y.sizeFromShape(i),u=t.length,c=this.defaultValue;if(c.length!==p&&c.length!==1){let f=this.defaultValueShape;Ee(()=>{let h=W(c,f);c=$i(h,i).dataSync()})}let l=0,m=0,d=0;for(let f=0;f<=u;++f){let h=f=u){let g=o.length;h=Math.floor(g/p)}if(h>d)if(this.defaultValue.length===1)a.subarray(d*p,h*p).fill(this.defaultValue[0]),d=h;else for(;h>d;){let g=a.slice(d*p);RT(g,c,p),++d}h<0?(l=f+1,m=d):(l=f,m=d,d=m+1)}}};function RT(r,e,t){for(let o=0;o= 0`);if(o<-1)throw new Error(`Dimension ${o} must be >= -1`);o=-1}t.push(o)}return t}function hf(r,e,t,o,n,s,a,i,p,u){return new Yp(r,e,t,o,n,s,a,i,p,u).compute()}function _u(r,e,t,o){let n=r===e,s=r1;if(n||s||a)return y.makeZerosTypedArray(0,o);let i=Math.abs(Math.ceil((e-r)/t)),p=y.makeZerosTypedArray(i,o);e1/Math.sqrt(r)),nj=ko(zn,NS),FT={kernelName:zn,backendName:\"cpu\",kernelFunc:nj};function Va(r,e,t,o,n,s,a,i,p,u){let c=[o/n,n],l=r.values,m=e.values;if(o===0)return le(t,e.dtype);let d=le(c,e.dtype);typeof p==\"string\"||typeof p==\"number\"?d.values.fill(p):typeof p==\"boolean\"&&d.values.fill(+p);for(let f=0;f=o/n)throw new Error(`Invalid indices: ${h} does not index into ${t}`);for(let x=0;x1/(1+Math.exp(-r))),TS=we(Gn,r=>1/(1+Math.exp(-r))),PT={kernelName:Gn,backendName:\"cpu\",kernelFunc:TS};function $u(r,e,t,o,n){let s=ut.isSliceContinous(o,e,t),a=y.sizeFromShape(t),i=y.computeStrides(o);if(s){let l=ut.computeFlatOffset(e,i);return n===\"string\"?r.slice(l,l+a):r.subarray(l,l+a)}let p=n===\"string\"?S.fromUint8ToStringArray(r):r,u=le(o,n,p),c=le(t,n);for(let l=0;lf+e[h]);c.set(u.get(...d),...m)}return n===\"string\"?S.fromStringArrayToUint8(c.values):c.values}function To(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o;j(n,\"slice\");let[i,p]=ut.parseSliceParams(n,s,a);ut.assertParamsValid(n,i,p);let u=t.data.get(n.dataId).values,c=$u(u,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,c)}var MT={kernelName:Es,backendName:\"cpu\",kernelFunc:To};function gf(r,e,t,o,n,s,a){let i=e[0],p=s[0],u=new Array(p),c=new Array(i),l=e[1];if(p===0){if(i!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i));let g=y.getArrayFromDType(t,0),x=y.getArrayFromDType(n,0);return[g,[0,l],x,u,c]}let m=!0,d=0,f=new Array(p).fill(0);for(let g=0;g=p)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,p));++f[x],m=m&&x>=d,d=x}let h=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(h&&m){let g=r,x=o;for(let b=0;b0){d[m-1]=1;for(let g=m-2;g>=0;--g)d[g]=d[g+1]*o[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*p[g+1]}let h=y.getArrayFromDType(t,a*i);for(let g=0;g0?n[i-1]+1:0;if(l<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=e.slice();m[0]=l;let d=m.reduce((C,w)=>C*w,1),f=y.getArrayFromDType(t,d);if(i===0)return l>0&&f.fill(a),[f,m];if(l<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=n[h];for(;;){let C=0;if(g=C)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=l)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,l));b>x&&f.fill(a,x*u,b*u);for(let w=h;w=p[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w,o[w],p[0]));for(let _=0;_i)break}return xMath.sqrt(r)),sj=we(Hn,r=>Math.sqrt(r)),BT={kernelName:Hn,backendName:\"cpu\",kernelFunc:sj};var _S=Be((r,e)=>{let t=r-e;return t*t}),aj=Qe(jn,_S),VT={kernelName:jn,backendName:\"cpu\",kernelFunc:aj};function yf(r,e,t,o){let n=le(r,e.dtype);for(let s=0;s0?0:i-p),d=0;d+=u*this.leftPad.length;for(let b=0;bb.forEach(C=>h[g++]=C);for(let b=0;b0){x(e[m+l-1]);for(let b=0;b0){let p=t[0];if(p!==0)throw new Error(`First split value must be 0, got ${p}`);for(let u=1;u=p;if(c=c&&t[u]<=o,!c)throw new Error(`Invalid split value ${t[u]}, must be in [${p}, ${o}]`);p=t[u]}if(p!==o)throw new Error(`Last split value must be data size. Expected ${o}, got ${p}`)}let s=n-1,a=y.getArrayFromDType(\"int32\",n);if(o===0||n===0){let p=new Array(o);for(let u=0;u<=s;++u)a[u]=0;return[p,a]}a[0]=0;for(let p=1;p<=s;++p){let u=t[p]-t[p-1],c=0;this.nGramWidths.forEach(l=>{c+=this.getNumNGrams(u,l)}),this.preserveShort&&u>0&&c===0&&(c=1),a[p]=a[p-1]+c}let i=new Array(a[s]);for(let p=0;p{let m=t[p+1]-t[p],d=this.getNumNGrams(m,l);this.createNGrams(e,u,i,c,d,l),c+=d}),this.preserveShort&&c===a[p]){let l=t[p+1]-t[p];if(l===0)continue;let m=l+2*this.padWidth,d=1;this.createNGrams(e,u,i,c,d,m)}}return[i,a]}};function Eu(r,e,t,o,n,s,a,i){return new $S(t,o,n,s,a,i).compute(r,e)}function ij(r,e,t,o){if(!r.length)return;if(e.length===0){for(let s=0;sr-e),uj=qp((r,e,t,o)=>({real:r-t,imag:e-o})),gl=Qe(Yn,ES,uj),zT={kernelName:Yn,backendName:\"cpu\",kernelFunc:gl};function bf(r,e){let t=new Array(r.rank);for(let n=0;n{let t=e.value-r.value;return t===0?r.index-e.index:t};function WT(r,e,t=0,o=r.length-1){for(;o>t;){if(o-t>600){let i=o-t+1,p=e-t+1,u=Math.log(i),c=.5*Math.exp(2*u/3),l=.5*Math.sqrt(u*c*(i-c)/i)*Math.sign(p-i/2),m=Math.max(t,Math.floor(e-p*c/i+l)),d=Math.min(o,Math.floor(e+(i-p)*c/i+l));WT(r,e,m,d)}let n=r[e],s=t,a=o;for(y.swap(r,t,e),xl(r[o],n)>0&&y.swap(r,t,o);s0;)a=a-1}xl(r[t],n)===0?y.swap(r,t,a):(a=a+1,y.swap(r,a,o)),a<=e&&(t=a+1),e<=a&&(o=a-1)}}function Cf(r,e,t,o,n){let s=e[e.length-1],[a,i]=[r.length/s,s],p=y.getTypedArrayFromDType(t,a*o),u=y.getTypedArrayFromDType(\"int32\",a*o);for(let l=0;lf[C]={value:b,index:C}),o{for(let g=0;gnew Pi,1);var AS=we(Jo,r=>r>=0?r:Math.exp(r)-1),UT={kernelName:Jo,backendName:\"cpu\",kernelFunc:AS};function RS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o;j([n],\"leakyRelu\");let a=y.sizeFromShape(n.shape),i=t.data.get(n.dataId).values,p=y.getTypedArrayFromDType(\"float32\",a);for(let u=0;ur<0?e*r:r);function DS(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e;j([o,n],\"prelu\");let s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,[i,p]=cj(o.shape,n.shape,s,a,\"float32\");return t.makeTensorInfo(p,\"float32\",i)}var HT={kernelName:Rn,backendName:\"cpu\",kernelFunc:DS};var FS=we(On,r=>Math.max(0,r)),KT={kernelName:On,backendName:\"cpu\",kernelFunc:FS};var OS=we(Ln,r=>Math.min(Math.max(0,r),6)),qT={kernelName:Ln,backendName:\"cpu\",kernelFunc:OS};function Du(r,e,t,o,n){if(t===\"linear\")return ir({inputs:{x:e},backend:r});if(t===\"relu\")return FS({inputs:{x:e},backend:r});if(t===\"elu\")return AS({inputs:{x:e},backend:r});if(t===\"relu6\")return OS({inputs:{x:e},backend:r});if(t===\"prelu\")return DS({inputs:{x:e,alpha:o},backend:r});if(t===\"leakyrelu\")return RS({inputs:{x:e},backend:r,attrs:{alpha:n}});if(t===\"sigmoid\")return TS({inputs:{x:e},backend:r});throw new Error(`Activation ${t} has not been implemented for the CPU backend.`)}function Le(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{shape:s}=o,a=y.sizeFromShape(n.shape),i=y.inferFromImplicitShape(s,a),p=y.sizeFromShape(i);y.assert(a===p,()=>`The new shape (${i}) has ${p} elements and the old shape (${n.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`),t.incRef(n.dataId);let u=t.data.get(n.dataId);if(u.complexTensorInfos!=null){let c=u.complexTensorInfos.real,l=u.complexTensorInfos.imag;c.shape=i,l.shape=i}return{dataId:n.dataId,shape:i,dtype:n.dtype}}var jT={kernelName:_s,backendName:\"cpu\",kernelFunc:Le};function PS(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;j([n,s],\"matMul\");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let w=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Le({inputs:{x:n},backend:t,attrs:{shape:w}}),E=Le({inputs:{x:s},backend:t,attrs:{shape:k}}),A=a?_.shape[1]:_.shape[2],R=a?_.shape[2]:_.shape[1],D=i?E.shape[1]:E.shape[2],P=Math.max(g,x),M=t.data.get(_.dataId).values,L=t.data.get(E.dataId).values,V=y.computeStrides(_.shape),z=y.computeStrides(E.shape),[U,K,H]=a?[V[0],1,V[1]]:[V[0],V[1],1],[q,Z,ee]=i?[1,z[1],z[0]]:[z[1],1,z[0]],oe=R*D,J=le([P,R,D],_.dtype),te=J.values,ie=t.blockSize;for(let ce=0;ceMath.acos(r)),QT={kernelName:aa,backendName:\"cpu\",kernelFunc:mj};var dj=we(ia,r=>Math.acosh(r)),ZT={kernelName:ia,backendName:\"cpu\",kernelFunc:dj};function fj(r){let{inputs:e,backend:t}=r,o=e;j(e,\"addN\");let n=o.map(i=>t.data.get(i.dataId).values),s=le(o[0].shape,o[0].dtype),a=s.values;for(let i=0;ib&&(b=k,C=w)}d[g]=C}return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,\"int32\",d)}var r2={kernelName:Bo,backendName:\"cpu\",kernelFunc:xj};function yj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o;j(n,\"argMin\");let a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=St({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),a=[a[0]],S.assertAxesAreInnerMostDims(\"argMin\",a,p.shape.length);let[c,l]=S.computeOutAndReduceShapes(p.shape,a),m=y.sizeFromShape(c),d=y.makeZerosTypedArray(m,\"int32\"),f=y.sizeFromShape(l),h=t.data.get(p.dataId).values;for(let g=0;gt.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,\"int32\",d)}var o2={kernelName:ei,backendName:\"cpu\",kernelFunc:yj};var bj=we(ua,r=>Math.asin(r)),n2={kernelName:ua,backendName:\"cpu\",kernelFunc:bj};var Cj=we(pa,r=>Math.asinh(r)),s2={kernelName:pa,backendName:\"cpu\",kernelFunc:Cj};var Sj=we(ca,r=>Math.atan(r)),a2={kernelName:ca,backendName:\"cpu\",kernelFunc:Sj};var wj=Be((r,e)=>Math.atan2(r,e)),Ij=Qe(ma,wj),i2={kernelName:ma,backendName:\"cpu\",kernelFunc:Ij};var vj=we(la,r=>Math.atanh(r)),u2={kernelName:la,backendName:\"cpu\",kernelFunc:vj};function Jp(r,e,t,o,n,s){let a=n.strideHeight,i=n.strideWidth,p=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,m=n.padInfo.top,d=n.padInfo.left,f=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=le(n.outShape,t),g=h.values,x=n.outShape[1]*n.outShape[2]*n.outShape[3],b=n.outShape[2]*n.outShape[3],C=n.outShape[3];for(let w=0;wK?K=ie:s===\"avg\"&&(H+=ie,q++)}if(isNaN(K))break}let Z=M+L*C+E;g[Z]=s===\"avg\"?H/q:K}}}return h}function wf(r,e,t,o,n=!1,s=!1){let a=le(o.outShape,\"int32\"),i=o.strideHeight,p=o.strideWidth,u=o.dilationHeight,c=o.dilationWidth,l=o.effectiveFilterHeight,m=o.effectiveFilterWidth,d=o.padInfo.top,f=o.padInfo.left,h=le(e,t,r);for(let g=0;gD&&(D=U,n?P=s?((g*o.inHeight+M)*o.inWidth+V)*o.inChannels+x:(M*o.inWidth+V)*o.inChannels+x:P=L*m+z)}}a.set(P,g,b,_,x)}}return a}function If(r,e,t,o,n,s){let a=n.strideDepth,i=n.strideHeight,p=n.strideWidth,u=n.dilationDepth,c=n.dilationHeight,l=n.dilationWidth,m=n.effectiveFilterDepth,d=n.effectiveFilterHeight,f=n.effectiveFilterWidth,h=n.padInfo.front,g=n.padInfo.top,x=n.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,C=le(n.outShape,t),w=C.values,k=n.outShape[1]*n.outShape[2]*n.outShape[3]*n.outShape[4],_=n.outShape[2]*n.outShape[3]*n.outShape[4],E=n.outShape[3]*n.outShape[4],A=n.outShape[4];for(let R=0;RNe?Ne=ht:s===\"avg\"&&(Ie+=ht,Ae++),isNaN(Ne))break}if(isNaN(Ne))break}if(isNaN(Ne))break}let Re=ye+M;w[Re]=s===\"avg\"?Ie/Math.max(Ae,1):Ne}}}}return C}function p2(r,e){let t=le(e.outShape,\"int32\"),o=e.strideDepth,n=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,p=e.dilationWidth,u=e.effectiveFilterDepth,c=e.effectiveFilterHeight,l=e.effectiveFilterWidth,m=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left;for(let h=0;h=L&&(L=ee,V=U*c*l+H*c+Z)}}}t.set(V,h,x,k,R,g)}}}return t}function kj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;j(n,\"avgPool\");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(S.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=ir({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Jp(m,n.shape,n.dtype,d,c,\"avg\");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var c2={kernelName:Vo,backendName:\"cpu\",kernelFunc:kj};function Nj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;j(n,\"avgPool3d\");let c=S.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=If(l,n.shape,n.dtype,y.computeStrides(n.shape),c,\"avg\");return t.makeTensorInfo(m.shape,\"float32\",m.values)}var l2={kernelName:dp,backendName:\"cpu\",kernelFunc:Nj};function Tj(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;j([n,s],\"avgPool3DGrad\");let c=S.computePool3DInfo(s.shape,a,i,1,p,u),l=c.strideDepth,m=c.strideHeight,d=c.strideWidth,f=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,C=c.dilationWidth,w=c.effectiveFilterDepth,k=c.effectiveFilterHeight,_=c.effectiveFilterWidth,E=w-1-c.padInfo.front,A=_-1-c.padInfo.left,R=k-1-c.padInfo.top,D=le(s.shape,\"float32\"),P=1/(f*h*g),M=t.bufferSync(n);for(let L=0;L=c.outDepth||Math.floor(J)!==J))for(let te=0;te=c.outHeight||Math.floor(ie)!==ie))for(let ce=0;ce<_;ce+=C){let ye=(Z+ce)/d;if(ye<0||ye>=c.outWidth||Math.floor(ye)!==ye)continue;let Ne=M.get(L,J,ie,ye,V);ee+=Ne}}}D.set(ee*P,L,z,U,K,V)}return t.makeTensorInfo(D.shape,D.dtype,D.values)}var m2={kernelName:vm,backendName:\"cpu\",kernelFunc:Tj};function _j(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;j([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=c.strideHeight,m=c.strideWidth,d=c.filterHeight,f=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,C=b-1-c.padInfo.left,w=x-1-c.padInfo.top,k=le(a.shape,\"float32\"),_=1/(d*f),E=t.data.get(n.dataId).values,A=le(n.shape,\"float32\",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let H=0;H=c.outWidth||Math.floor(q)!==q)continue;let Z=A.get(R,K,q,D);z+=Z}}k.set(z*_,R,P,M,D)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var d2={kernelName:mp,backendName:\"cpu\",kernelFunc:_j};function $j(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,scale:s,offset:a,mean:i,variance:p}=e;y.assert(i.shape.length===p.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(a==null||i.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||i.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),j([n,i,p,s,a],\"batchNorm\");let{varianceEpsilon:u}=o;u==null&&(u=.001);let c=t.data.get(n.dataId).values,l=t.data.get(i.dataId).values,m=t.data.get(p.dataId).values,d=s?t.data.get(s.dataId).values:new Float32Array([1]),f=a?t.data.get(a.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=f.length,x=d.length,b=m.length,C=l.length,w=0,k=0,_=0,E=0;for(let A=0;A=g&&(w=0),k>=C&&(k=0),_>=x&&(_=0),E>=b&&(E=0);return t.makeTensorInfo(n.shape,n.dtype,h)}var f2={kernelName:sn,backendName:\"cpu\",kernelFunc:$j};function Ej(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;j([n],\"batchToSpaceND\");let i=s.reduce((x,b)=>x*b),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=Le({inputs:{x:n},backend:t,attrs:{shape:p}}),f=St({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Le({inputs:{x:f},backend:t,attrs:{shape:c}}),g=To({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var h2={kernelName:bs,backendName:\"cpu\",kernelFunc:Ej};function Aj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,u=jp(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var g2={kernelName:ti,backendName:\"cpu\",kernelFunc:Aj};function Rj(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=S.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],\"int32\",Int32Array.from(i))}var x2={kernelName:fp,backendName:\"cpu\",kernelFunc:Rj};var Dj=we(lo,(r,e)=>{let t=e;return r>t.clipValueMax?t.clipValueMax:r{let{x:e}=r.inputs,t=r.backend,o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId),s=n.complexTensorInfos.real,a=n.complexTensorInfos.imag,i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values;for(let u=0;uh.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(h=>h.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(h=>y.sizeFromShape(h.shape)>0);if(p.length===1)return ir({inputs:{x:p[0]},backend:t});if(p[0].dtype===\"complex64\"){let h=p.map(w=>Io({inputs:{input:w},backend:t})),g=p.map(w=>Ys({inputs:{input:w},backend:t})),x=Mi({inputs:h,backend:t,attrs:{axis:s}}),b=Mi({inputs:g,backend:t,attrs:{axis:s}}),C=Ht({inputs:{real:x,imag:b},backend:t});return h.forEach(w=>t.disposeIntermediateTensorInfo(w)),g.forEach(w=>t.disposeIntermediateTensorInfo(w)),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(b),C}let u=p.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Le({inputs:{x:h},backend:t,attrs:{shape:x}})}),c=u.map(h=>({vals:t.data.get(h.dataId).values,shape:h.shape}));i=S.computeOutShape(u.map(h=>h.shape),1);let l=u[0].shape[0]===1,m=Nu(c,i,e[0].dtype,l),d=S.computeOutShape(p.map(h=>h.shape),s),f=t.makeTensorInfo(d,e[0].dtype,m);return u.forEach(h=>t.disposeIntermediateTensorInfo(h)),f}var S2={kernelName:Cs,backendName:\"cpu\",kernelFunc:Mi};function MS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o;j([n,s],\"conv2d\");let l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d=m.filterHeight,f=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,C=m.dataFormat===\"channelsLast\",w=new st(m.outShape,n.dtype),k=y.computeStrides(n.shape),_=y.computeStrides(s.shape),E=k[0],A=C?k[1]:k[2],R=C?k[2]:1,D=C?1:k[1],P=w.strides[0],M=C?w.strides[1]:w.strides[2],L=C?w.strides[2]:1,V=C?1:w.strides[1],z=t.data.get(n.dataId).values,U=t.data.get(s.dataId).values,K=w.values;for(let H=0;H=m.inHeight)continue;let ce=te*_[0],ye=q+ie*A;for(let Ne=0;Ne=m.inWidth)continue;let pt=ce+Re*_[1],ze=ye+ot*R,ct=pt;for(let at=0;at=u.inDepth)continue;let H=U*R[0],q=P+K*A[1];for(let Z=0;Z=u.inHeight)continue;let ie=H+J*R[1],ce=q+te*A[2];for(let ye=0;ye=u.inWidth)continue;let ot=ie+Ae*R[2],pt=ce+Re*u.inChannels,ze=ot;for(let ct=0;ctMath.cos(r)),_2={kernelName:Ho,backendName:\"cpu\",kernelFunc:Vj};var zj=we(Ko,r=>Math.cosh(r)),$2={kernelName:Ko,backendName:\"cpu\",kernelFunc:zj};function Wj(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,[c,l,m,d]=n.shape,f=s.shape[0],[h,g]=i,x=le([f,h,g,d],\"float32\"),b=t.data.get(s.dataId).values,C=t.data.get(a.dataId).values,w=t.data.get(n.dataId).values,k=y.computeStrides(n.shape),_=y.computeStrides(x.shape);for(let E=0;E=c)continue;let V=h>1?(P-R)*(l-1)/(h-1):0,z=g>1?(M-D)*(m-1)/(g-1):0;for(let U=0;U1?R*(l-1)+U*V:.5*(R+P)*(l-1);if(K<0||K>l-1){for(let H=0;H1?D*(m-1)+ee*z:.5*(D+M)*(m-1);if(oe<0||oe>m-1){for(let ce=0;ce1?D*(m-1)+H*z:.5*(D+M)*(m-1);if(q<0||q>m-1){for(let oe=0;oex+f-b-1:(x,b)=>x+b;for(let x=0;xx+f-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${a}`);let i=n.shape[0],p=n.shape[1],u=n.shape[2],c=n.shape[3],l=p*s,m=u*s,d=c/(s*s),f=t.data.get(n.dataId).values,h=new Float32Array(i*l*m*d),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`);let d=S.computeConv2DInfo(n.shape,s.shape,a,m,i,u,!0),{filterHeight:f,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=d,C=b.left,w=b.top,k=d.outChannels/d.inChannels,_=new st(d.outShape,n.dtype),E=t.data.get(n.dataId).values,A=t.data.get(s.dataId).values,R=_.values;for(let D=0;D=d.inHeight)continue;let H=U*l[0],q=P+K*c[1];for(let Z=0;Z=d.inWidth)continue;let ie=H+J*l[1],ce=q+te*d.inChannels,ye=ee,Ne=ie;for(let Ie=0;Ie{let{x:o,filter:n}=r,{strides:s,pad:a,dilations:i}=t,p=e,u=p.data.get(o.dataId).values,c=o.shape.length,l=p.data.get(n.dataId).values,m=n.shape.length,{batchSize:d,inHeight:f,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:C,strideHeight:w,strideWidth:k,filterHeight:_,filterWidth:E,dilationHeight:A,dilationWidth:R,outShape:D}=S.computeDilation2DInfo(o.shape,n.shape,s,a,\"NHWC\",i),P=y.sizeFromShape(D),M=D.length,L=y.getArrayFromDType(o.dtype,P);for(let z=0;z=0&&te=0&&ceee&&(ee=Ie)}}}let oe=y.locToIndex([z,U,H,Z],M,y.computeStrides(D));L[oe]=ee}}}return{dataId:p.write(y.toTypedArray(L,o.dtype),D,o.dtype),shape:D,dtype:o.dtype}}};var V2={kernelName:$b,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:C,strideWidth:w,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:A,outShape:R}=S.computeDilation2DInfo(o.shape,n.shape,a,i,\"NHWC\",p);y.assert(s.rank===R.length,()=>`Error in ${$b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`);let D=y.toNestedArray(R,u.data.get(s.dataId).values),P=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let L=0;L=0&&J=0&&ieq&&(q=ce,Z=oe,ee=te)}}}P[Z][ee][H]+=D[L][V][U][H]}}}return{dataId:u.write(y.toTypedArray(P,o.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};var z2={kernelName:_b,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:C,strideWidth:w,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:A,outShape:R}=S.computeDilation2DInfo(o.shape,n.shape,a,i,\"NHWC\",p);y.assert(s.rank===R.length,()=>`Error in ${_b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`);let D=y.toNestedArray(R,u.data.get(s.dataId).values),P=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let L=0;L=0&&J=0&&ieq&&(q=ce,Z=J,ee=ie)}}}P[L][Z][ee][H]+=D[L][V][U][H]}}}return{dataId:u.write(y.toTypedArray(P,o.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};function za(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;j(n,\"sum\");let i;n.dtype===\"bool\"?i=vo({inputs:{x:n},backend:t,attrs:{dtype:\"int32\"}}):i=ir({inputs:{x:n},backend:t});let p=i.shape.length,u=y.parseAxisParam(s,i.shape),c=S.getAxesPermutation(u,p),l=u,m=i;c!=null&&(m=St({inputs:{x:i},backend:t,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,p)),S.assertAxesAreInnerMostDims(\"sum\",l,m.shape.length);let[d,f]=S.computeOutAndReduceShapes(m.shape,l),h=S.upcastType(m.dtype,\"int32\"),g=Kp(t,d,h),x=y.sizeFromShape(f),b=t.data.get(g.dataId).values,C=t.data.get(m.dataId).values;for(let w=0;w=0&&(m=za({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var U2={kernelName:ii,backendName:\"cpu\",kernelFunc:Yj};function Qj(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e;j([o,n],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(n.shape)),a=t.data.get(n.dataId).values,i=t.data.get(o.dataId).values;for(let p=0;p=1?s[p]=i[p]:s[p]=i[p]*(u+1)}return t.makeTensorInfo(n.shape,\"float32\",s)}var G2={kernelName:Nm,backendName:\"cpu\",kernelFunc:Qj};var Zj=S.ERF_P,Jj=S.ERF_A1,eX=S.ERF_A2,tX=S.ERF_A3,rX=S.ERF_A4,oX=S.ERF_A5,nX=we(da,r=>{let e=Math.sign(r),t=Math.abs(r),o=1/(1+Zj*t);return e*(1-((((oX*o+rX)*o+tX)*o+eX)*o+Jj)*o*Math.exp(-t*t))}),H2={kernelName:da,backendName:\"cpu\",kernelFunc:nX};function ec(r){let{inputs:e,backend:t,attrs:o}=r,{input:n}=e,{dim:s}=o,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Le({inputs:{x:n},backend:t,attrs:{shape:i}})}var K2={kernelName:Ss,backendName:\"cpu\",kernelFunc:ec};var sX=Be((r,e)=>r/e),yl=Qe(Zo,sX),bl={kernelName:Zo,backendName:\"cpu\",kernelFunc:yl};function vf(r,e,t){let o=r.shape,n=o[0],s=o[1],a=t.data.get(r.dataId),i=a.complexTensorInfos.real,p=a.complexTensorInfos.imag,u=[n,s],c=y.sizeFromShape(u),l=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:o}=r,n=t,s=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[a,i,p,u]=o.shape,c=n.data.get(o.dataId).values;for(let m=0;m=0&&CMath.floor(r/e)),mX=Qe(nn,lX,null,\"int32\"),Y2={kernelName:nn,backendName:\"cpu\",kernelFunc:mX};function dX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=MS({inputs:{x:n,filter:s},backend:t,attrs:{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m}});if(a){let g=h;if(c===\"NCHW\"&&a.shape.length===1&&a.shape[0]!==1){let x=Le({inputs:{x:a},backend:t,attrs:{shape:[a.shape[0],1,1]}});h=Xs({inputs:{a:h,b:x},backend:t}),t.disposeIntermediateTensorInfo(x)}else h=Xs({inputs:{a:h,b:a},backend:t});t.disposeIntermediateTensorInfo(g)}if(d){let g=h;if(c===\"NCHW\"&&d===\"prelu\"&&i.shape.length===1&&i.shape[0]!==1){let x=Le({inputs:{x:i},backend:t,attrs:{shape:[i.shape[0],1,1]}});h=Du(t,h,d,x,f),t.disposeIntermediateTensorInfo(x)}else h=Du(t,h,d,i,f);t.disposeIntermediateTensorInfo(g)}return h}var Q2={kernelName:go,backendName:\"cpu\",kernelFunc:dX};function fX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=LS({inputs:{x:n,filter:s},backend:t,attrs:{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m}});if(a){let g=h;h=Xs({inputs:{a:h,b:a},backend:t}),t.disposeIntermediateTensorInfo(g)}if(d){let g=h;h=Du(t,h,d,i,f),t.disposeIntermediateTensorInfo(g)}return h}var Z2={kernelName:xo,backendName:\"cpu\",kernelFunc:fX};function hX(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=y.sizeFromShape(o.shape),a=n.shape,i=a[a.length-1],[p,u,c,l]=S.prepareAndValidate(o,n);if(u===0)return t.makeTensorInfo(p,o.dtype,[]);let m=t.data.get(n.dataId).values,d=t.bufferSync(o),f=pf(m,d,o.dtype,u,i,c,l,o.shape,s);return t.makeTensorInfo(p,o.dtype,f.values)}var J2={kernelName:an,backendName:\"cpu\",kernelFunc:hX};function gX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,indices:s}=e,{axis:a,batchDims:i}=o;j([n,s],\"gatherV2\");let p=y.parseAxisParam(a,n.shape)[0],u=t.data.get(s.dataId).values,c=n.shape[p];for(let w=0;w=0,()=>`GatherV2: the index value ${k} is not in [0, ${c-1}]`)}let l=i;i==null&&(l=0);let m=y.sizeFromShape(s.shape),d=S.segment_util.collectGatherOpShapeInfo(n,s,p,l),f=Le({inputs:{x:n},backend:t,attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]}}),h=Le({inputs:{x:s},backend:t,attrs:{shape:[d.batchSize,m/d.batchSize]}}),g=[d.batchSize,d.outerSize,m/d.batchSize,d.sliceSize],x=t.bufferSync(h),b=t.bufferSync(f),C=cf(b,x,g);return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),t.makeTensorInfo(d.outputShape,C.dtype,C.values)}var e_={kernelName:Is,backendName:\"cpu\",kernelFunc:gX};function xX(r){let{inputs:e,backend:t}=r,{input:o}=e,n=y.sizeFromShape(o.shape),s=o.shape[o.shape.length-1],a=n/s,i=Le({inputs:{x:o},backend:t,attrs:{shape:[a,s]}}),p=vf(i,!0,t),u=Le({inputs:{x:p},backend:t,attrs:{shape:o.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(p),u}var t_={kernelName:pi,backendName:\"cpu\",kernelFunc:xX};var yX=we(ha,r=>Number.isFinite(r)?1:0,\"bool\"),r_={kernelName:ha,backendName:\"cpu\",kernelFunc:yX};var bX=we(ga,r=>Math.abs(r)===1/0?1:0,\"bool\"),o_={kernelName:ga,backendName:\"cpu\",kernelFunc:bX};var CX=we(cn,r=>Number.isNaN(r)?1:0,\"bool\"),n_={kernelName:cn,backendName:\"cpu\",kernelFunc:CX};function SX(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=lf(o,n,s);return e.makeTensorInfo([a.length],\"float32\",a)}var s_={kernelName:li,backendName:\"cpu\",kernelFunc:SX};var wX=we(xa,r=>Math.log1p(r)),a_={kernelName:xa,backendName:\"cpu\",kernelFunc:wX};var IX=Be((r,e)=>r&&e),vX=Qe(hn,IX,null,\"bool\"),i_={kernelName:hn,backendName:\"cpu\",kernelFunc:vX};var kX=we(gn,r=>r?0:1,\"bool\"),u_={kernelName:gn,backendName:\"cpu\",kernelFunc:kX};var NX=Be((r,e)=>r||e),TX=Qe(xn,NX,null,\"bool\"),p_={kernelName:xn,backendName:\"cpu\",kernelFunc:TX};function _X(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;j(n,\"LRN\");let u=n.shape[3],c=u-1,l=t.data.get(n.dataId).values,m=y.sizeFromShape(n.shape),d=new Float32Array(m);function f(h){let g=h%u,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),C=0;for(;x<=b;x++){let w=l[x];C+=w*w}return C}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=ir({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Jp(m,n.shape,n.dtype,d,c,\"max\");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var d_={kernelName:Cn,backendName:\"cpu\",kernelFunc:EX};function AX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;j(n,\"maxPool3d\");let c=S.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=If(l,n.shape,n.dtype,y.computeStrides(n.shape),c,\"max\");return t.makeTensorInfo(m.shape,\"float32\",m.values)}var f_={kernelName:Cp,backendName:\"cpu\",kernelFunc:AX};function RX(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;j([n,s],\"maxPool3DGrad\");let c=S.computePool3DInfo(s.shape,a,i,1,p,u),l=t.bufferSync(s),m=p2(l,c),d=c.strideDepth,f=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,C=c.effectiveFilterDepth,w=c.effectiveFilterHeight,k=c.effectiveFilterWidth,_=C-1-c.padInfo.front,E=k-1-c.padInfo.left,A=w-1-c.padInfo.top,R=le(s.shape,\"float32\"),D=t.bufferSync(n);for(let P=0;P=c.outDepth||Math.floor(ee)!==ee))for(let oe=0;oe=c.outHeight||Math.floor(J)!==J))for(let te=0;te=c.outWidth||Math.floor(ie)!==ie)continue;let ce=C*w*k-1-m.get(P,ee,J,ie,M),ye=Z*w*k+oe*k+te,Ne=ce===ye?1:0;if(Ne===0)continue;let Ie=D.get(P,ee,J,ie,M);q+=Ie*Ne}}}R.set(q,P,L,V,z,M)}return t.makeTensorInfo(R.shape,R.dtype,R.values)}var h_={kernelName:$m,backendName:\"cpu\",kernelFunc:RX};function DX(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;j([s,a],\"maxPoolGrad\");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=S.computePool2DInfo(i.shape,p,u,1,c,l),d=t.data.get(i.dataId).values,f=le(m.outShape,i.dtype,wf(d,i.shape,i.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,C=m.effectiveFilterHeight,w=m.effectiveFilterWidth,k=w-1-m.padInfo.left,_=C-1-m.padInfo.top,E=le(i.shape,\"float32\"),A=t.data.get(n.dataId).values,R=le(n.shape,\"float32\",A);for(let D=0;D=m.outHeight||Math.floor(H)!==H))for(let q=0;q=m.outWidth||Math.floor(Z)!==Z)continue;let ee=C*w-1-f.get(D,H,Z,P),oe=K*w+q,J=ee===oe?1:0;if(J===0)continue;let te=R.get(D,H,Z,P);U+=te*J}}E.set(U,D,M,L,P)}return t.makeTensorInfo(E.shape,E.dtype,E.values)}var g_={kernelName:_m,backendName:\"cpu\",kernelFunc:DX};function x_(r,e,t,o,n){let s=y.computeStrides(e),a=Jp(r,e,t,s,n,\"max\"),i=wf(r,e,t,n,!0,o);return[a.values,i.values]}var y_={kernelName:Sp,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;j(o,\"MaxPoolWithArgmax\");let u=p.data.get(o.dataId).values,c=S.computePool2DInfo(o.shape,n,s,[1,1],a),[l,m]=x_(u,o.shape,o.dtype,i,c),d=p.write(l,c.outShape,o.dtype),f=p.write(m,c.outShape,o.dtype);return[{dataId:d,shape:c.outShape,dtype:o.dtype},{dataId:f,shape:c.outShape,dtype:\"int32\"}]}};function FX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=y.parseAxisParam(s,n.shape),u=S.computeOutAndReduceShapes(n.shape,i)[1],c=y.sizeFromShape(u),l=[],m=t.makeTensorInfo([],\"float32\",new Float32Array([c]));l.push(m);let d=vo({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}});l.push(d);let f=yl({inputs:{a:d,b:m},backend:t});l.push(f);let h=za({inputs:{x:f},backend:t,attrs:{axis:s,keepDims:a}});return l.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}var b_={kernelName:Sn,backendName:\"cpu\",kernelFunc:FX};function OX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;j(n,\"min\");let i=y.parseAxisParam(s,n.shape),p=i,u=S.getAxesPermutation(p,n.shape.length),c=n;u!=null&&(c=St({inputs:{x:n},backend:t,attrs:{perm:u}}),p=S.getInnerMostAxes(p.length,n.shape.length)),S.assertAxesAreInnerMostDims(\"min\",p,c.shape.length);let[l,m]=S.computeOutAndReduceShapes(c.shape,p),d=y.sizeFromShape(m),f=y.makeZerosTypedArray(y.sizeFromShape(l),c.dtype),h=t.data.get(c.dataId).values;for(let x=0;xC[0]+n.shape[w]+C[1]),p=s.map(C=>C[0]),u=s.map((C,w)=>C[0]+n.shape[w]),c=a===\"reflect\"?0:1,l=t.data.get(n.dataId).values,m=n.shape.length,d=y.computeStrides(n.shape),f=y.sizeFromShape(i),h=i.length,g=y.computeStrides(i),x=y.getTypedArrayFromDType(n.dtype,f);for(let C=0;C=u[_]&&(w[_]=(u[_]-1)*2-w[_]+c);w=w.map((_,E)=>_-p[E]);let k=y.locToIndex(w,m,d);x[C]=l[k]}return{dataId:t.write(x,i,n.dtype),shape:i,dtype:n.dtype}}var S_={kernelName:vn,backendName:\"cpu\",kernelFunc:PX};var MX=Be((r,e)=>{let t=r%e;return r<0&&e<0||r>=0&&e>=0?t:(t+e)%e}),LX=Qe(ya,MX),w_={kernelName:ya,backendName:\"cpu\",kernelFunc:LX};var v_=ap(gC());function zS(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=n.shape.length,i=s;if(i===-1&&(i=a-1),i!==a-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a} and dim was ${i}`);let p=y.parseAxisParam([i],n.shape),u=VS({inputs:{x:n},backend:t,attrs:{reductionIndices:p,keepDims:!1}}),c=S.expandShapeToKeepDim(u.shape,p),l=Le({inputs:{x:u},backend:t,attrs:{shape:c}}),m=gl({inputs:{a:n,b:l},backend:t}),d=dS({inputs:{x:m},backend:t}),f=za({inputs:{x:d},backend:t,attrs:{axis:p,keepDims:!1}}),h=Le({inputs:{x:f},backend:t,attrs:{shape:c}}),g=yl({inputs:{a:d,b:h},backend:t});return t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var I_={kernelName:qn,backendName:\"cpu\",kernelFunc:zS};function BX(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;j(n,\"multinomial\");let p=i?n:zS({inputs:{logits:n},backend:t,attrs:{dim:-1}}),u=p.shape[0],c=p.shape[1],l=t.data.get(p.dataId).values,m=[u,s],d=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let f=0;f=0&&l[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=ec({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Mi({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var D_={kernelName:Ns,backendName:\"cpu\",kernelFunc:WS};function qX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;j(n,\"pad\");let i=s.map((b,C)=>b[0]+n.shape[C]+b[1]),p=s.map(b=>b[0]),u=t.data.get(n.dataId).values,c=y.sizeFromShape(n.shape),l=n.shape.length,m=y.computeStrides(n.shape),d=y.sizeFromShape(i),f=i.length,h=y.computeStrides(i),g=y.getTypedArrayFromDType(n.dtype,d);a!==0&&g.fill(a);for(let b=0;b_+p[E]),k=y.locToIndex(w,f,h);g[k]=u[b]}return{dataId:t.write(g,i,n.dtype),shape:i,dtype:n.dtype}}var kf={kernelName:En,backendName:\"cpu\",kernelFunc:qX};var jX=Be((r,e)=>Math.pow(r,e)),XX=Qe(An,jX),F_={kernelName:An,backendName:\"cpu\",kernelFunc:XX};function YX(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.data.get(x.dataId).values),u=n.map(x=>x.shape),c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,[m,d,f]=df(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],\"int32\",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var O_={kernelName:Ip,backendName:\"cpu\",kernelFunc:YX};function QX(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=ff(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],\"int32\",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var P_={kernelName:vp,backendName:\"cpu\",kernelFunc:QX};function ZX(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.data.get(n.dataId).values,c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,m=i.map(g=>t.data.get(g.dataId).values),d=i.map(g=>g.shape),[f,h]=hf(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var M_={kernelName:kp,backendName:\"cpu\",kernelFunc:ZX};function JX(r){let{backend:e,attrs:t}=r,{start:o,stop:n,dtype:s,step:a}=t,i=_u(o,n,a,s);return e.makeTensorInfo([i.length],s,i)}var L_={kernelName:Ts,backendName:\"cpu\",kernelFunc:JX};var e5=we(Fn,r=>1/r),B_={kernelName:Fn,backendName:\"cpu\",kernelFunc:e5};function t5(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o;j(n,\"resizeBilinear\");let p=y.computeStrides(n.shape),[u,c]=i,[l,m,d,f]=n.shape,h=t.data.get(n.dataId).values,g=new Float32Array(y.sizeFromShape([l,u,c,f])),x=[s&&u>1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],C=0,w=x[0]/b[0],k=x[1]/b[1];for(let _=0;_1?u-1:u,a&&d>1?c-1:c],g=[a&&m>1?m-1:m,a&&d>1?d-1:d],x=h[0]/g[0],b=h[1]/g[1],C=t.data.get(s.dataId).values,w=0;for(let k=0;k1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],C=x[0]/b[0],w=x[1]/b[1],k=0;for(let _=0;_1?c-1:c,a&&f>1?l-1:l],b=[a&&d>1?d-1:d,a&&f>1?f-1:f],C=x[0]/b[0],w=x[1]/b[1],k=1/C,_=1/w,E=Math.ceil(k)*2+2,A=Math.ceil(_)*2+2;for(let R=0;R=d)continue;let J=D+oe*p[1],te=oe*C,ie=Math.min(c-1,a?Math.round(te):Math.floor(te));if(P===ie)for(let ce=0;ce=f)continue;let Ne=J+ye*p[2],Ie=ye*w,Ae=Math.min(l-1,a?Math.round(Ie):Math.floor(Ie));z===Ae&&(Z+=g[Ne+q])}}h[U+q]=Z}}}}return t.makeTensorInfo(n.shape,n.dtype,h)}var U_={kernelName:Em,backendName:\"cpu\",kernelFunc:n5};function s5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o;j(n,\"reverse\");let a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return ir({inputs:{x:n},backend:t});let p=new st(n.shape,n.dtype),u=t.bufferSync(n);for(let c=0;cm[d]=n.shape[d]-1-m[d]),p.set(u.get(...m),...l)}return t.makeTensorInfo(p.shape,p.dtype,p.values)}var G_={kernelName:Bn,backendName:\"cpu\",kernelFunc:s5};var H_={kernelName:ts,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[u,c,l,m]=o.shape,[d,f]=S.getImageCenter(a,c,l),h=255,g=Math.sin(n),x=Math.cos(n),b=i.data.get(o.dataId).values;for(let w=0;w=0&&V=0&&z{let e=Math.floor(r);return r-e<.5?Math.floor(r):r-e>.5?Math.ceil(r):e%2===0?e:e+1}),K_={kernelName:Vn,backendName:\"cpu\",kernelFunc:a5};function i5(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=!0,d=t.bufferSync(n),f=t.bufferSync(s),h=Va(d,f,a,l,u,p,i,c,0,m);return t.makeTensorInfo(a,h.dtype,h.values)}var q_={kernelName:Wn,backendName:\"cpu\",kernelFunc:i5};function u5(r,e){let t=0,o=r.length,n=0;for(;t1||n.shape.length===1?1:y.sizeFromShape(n.shape.slice(1));for(let f=0;fr>=0?d5*r:m5*(Math.exp(r)-1)),Q_={kernelName:Ca,backendName:\"cpu\",kernelFunc:f5};var h5=we(wa,r=>r<0?-1:r>0?1:0),Z_={kernelName:wa,backendName:\"cpu\",kernelFunc:h5};var g5=we(Un,r=>Math.sin(r)),J_={kernelName:Un,backendName:\"cpu\",kernelFunc:g5};var x5=we(Sa,r=>Math.sinh(r)),e$={kernelName:Sa,backendName:\"cpu\",kernelFunc:x5};var y5=11920928955078125e-23,t$=Math.log(y5)+2,b5=we(Ia,r=>{let e=r>-t$,t=rNumber(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var n$={kernelName:hi,backendName:\"cpu\",kernelFunc:S5};function w5(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.data.get(n.dataId).values),i=t.data.get(o.dataId).values,p=Array.from(t.data.get(s.dataId).values),[u,c,l]=xf(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var s$={kernelName:va,backendName:\"cpu\",kernelFunc:w5};function I5(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=Qp(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var a$={kernelName:gi,backendName:\"cpu\",kernelFunc:I5};function v5(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=Qp(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var i$={kernelName:xi,backendName:\"cpu\",kernelFunc:v5};function k5(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1,f=t.bufferSync(n),h;switch(s.dtype){case\"bool\":{let g=t.bufferSync(s),x=!!t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case\"float32\":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case\"int32\":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case\"string\":{let g=t.bufferSync(s),x=y.decodeString(t.data.get(a.dataId).values[0]);h=Va(f,g,i,m,c,u,p,l,x,d);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return t.makeTensorInfo(i,h.dtype,h.values)}var u$={kernelName:yi,backendName:\"cpu\",kernelFunc:k5};function N5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=To({inputs:{x:n},backend:t,attrs:{begin:u,size:m}});return u[i]+=l,d})}var p$={kernelName:Rs,backendName:\"cpu\",kernelFunc:N5};var c$={kernelName:bi,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e;j(t,\"square\");let n=o.data.get(t.dataId).values,s=new Float32Array(n.length);for(let i=0;i{let t=e;return isNaN(r)?NaN:r>0?1:t.alpha}),l$={kernelName:fo,backendName:\"cpu\",kernelFunc:T5};function _5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o;j(n,\"stridedSlice\");let{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Le({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=To({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=Le({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(E)}else{let _=t.bufferSync(n),E=yf(d,_,w,b);k=t.makeTensorInfo(f,E.dtype,E.values)}return k}var m$={kernelName:Xn,backendName:\"cpu\",kernelFunc:_5};function $5(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.data.get(c.dataId).values,d=t.data.get(l.dataId).values,[f,h]=Eu(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var d$={kernelName:Ds,backendName:\"cpu\",kernelFunc:$5};function E5(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values[0],[u,c,l]=Au(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],\"int32\",u),t.makeTensorInfo([m],\"string\",c),t.makeTensorInfo([2],\"int32\",new Int32Array(l))]}var f$={kernelName:Ci,backendName:\"cpu\",kernelFunc:E5};function A5(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(n<=0)throw new Error(\"Number of buckets must be at least 1\");let a=t.data.get(s.dataId).values,i=Ru(a,n);return t.makeTensorInfo(s.shape,\"int32\",i)}var h$={kernelName:Si,backendName:\"cpu\",kernelFunc:A5};var R5=we(Qn,r=>Math.tan(r)),g$={kernelName:Qn,backendName:\"cpu\",kernelFunc:R5};var D5=we(Zn,r=>Math.tanh(r)),x$={kernelName:Zn,backendName:\"cpu\",kernelFunc:D5};function F5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reps:s}=o;j(n,\"tile\");let a=bf(t.bufferSync(n),s);return t.makeTensorInfo(a.shape,a.dtype,a.values)}var y$={kernelName:to,backendName:\"cpu\",kernelFunc:F5};function O5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{k:s,sorted:a}=o;j(n,\"topk\");let i=t.data.get(n.dataId).values,[p,u]=Cf(i,n.shape,n.dtype,s,a);return[t.makeTensorInfo(p.shape,p.dtype,p.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var b$={kernelName:Jn,backendName:\"cpu\",kernelFunc:O5};function P5(r){let{inputs:e,attrs:t,backend:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=t,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=y.computeStrides(n.shape),b=x[0],C=x[1],w=x[2],k=y.computeStrides(g),_=k[0],E=k[1],A=k[2],R=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(g));R.fill(p);let D=o.data.get(n.dataId).values,P=o.data.get(s.dataId).values;for(let L=0;Le-1)if(e<=1)t=0;else{let o=2*e;t-=o*Math.trunc(t/o),t>=e&&(t=o-t-1)}return y.clamp(0,t,e-1)}function L5(r,e){let t=r;if(t<0)if(e<=1)t=0;else{let o=e-1;t+=e*(Math.trunc(-t/o)+1)}else if(t>e-1)if(e<=1)t=0;else{let o=e-1;t-=e*Math.trunc(t/o)}return y.clamp(0,t,e-1)}function B5(r,e){return r}function V5(r,e){return y.clamp(0,r,e-1)}function wl(r,e,t,o,n,s,a,i,p,u,c){let l=a*o+i*n+p*s+u;return 0<=i&&it.disposeIntermediateTensorInfo(f)),d}var v$={kernelName:Tp,backendName:\"cpu\",kernelFunc:H5};var K5=[YT,iT,QT,ZT,mT,JT,e2,t2,r2,o2,n2,s2,a2,i2,u2,c2,l2,m2,d2,XT,f2,h2,g2,x2,lT,dT,y2,uT,b2,S2,w2,I2,v2,k2,N2,T2,_2,$2,E2,A2,R2,D2,F2,O2,P2,M2,L2,B2,V2,z2,U2,UT,G2,fT,H2,hT,K2,gT,q2,j2,X2,xT,Y2,Q2,Z2,J2,e_,yT,bT,pT,t_,C2,r_,o_,n_,GT,CT,ST,s_,wT,a_,i_,u_,p_,c_,l_,m_,IT,d_,f_,h_,g_,y_,b_,C_,vT,S_,w_,k_,kT,NT,N_,T_,__,TT,$_,R_,D_,kf,F_,HT,$T,O_,P_,M_,L_,cT,bl,B_,KT,qT,jT,V_,z_,W_,U_,G_,H_,K_,FT,q_,X_,Y_,Q_,PT,Z_,J_,e$,MT,I_,r$,o$,n$,s$,a$,i$,u$,p$,BT,c$,VT,l$,m$,d$,f$,h$,zT,W2,g$,x$,y$,b$,S$,_T,w$,I$,v$,E_];for(let r of K5)ka(r);var nc={};Ge(nc,{assertNotComplex:()=>us,bindCanvasToFramebuffer:()=>t8,bindColorTextureToFramebuffer:()=>Nl,bindTextureToProgramUniformSampler:()=>nw,bindTextureUnit:()=>_$,bindVertexBufferToProgramAttribute:()=>Af,callAndCheck:()=>pe,canBeRepresented:()=>KS,createFragmentShader:()=>jS,createFramebuffer:()=>tw,createProgram:()=>XS,createStaticIndexBuffer:()=>ZS,createStaticVertexBuffer:()=>QS,createTexture:()=>JS,createVertexShader:()=>qS,getBatchDim:()=>Ua,getExtensionOrThrow:()=>tc,getFramebufferErrorMessage:()=>$$,getMaxTexturesInShader:()=>iw,getNumChannels:()=>J5,getProgramUniformLocation:()=>ow,getProgramUniformLocationOrThrow:()=>rw,getRowsCols:()=>Ga,getShapeAs3D:()=>oc,getTextureShapeFromLogicalShape:()=>sw,getWebGLDisjointQueryTimerVersion:()=>uw,getWebGLErrorMessage:()=>T$,getWebGLMaxTextureSize:()=>aw,hasExtension:()=>Wr,isCapableOfRenderingToFloatTexture:()=>pw,isDownloadFloatTextureEnabled:()=>cw,isReshapeFree:()=>Bi,isWebGLFenceEnabled:()=>lw,isWebGLVersionEnabled:()=>Df,linkProgram:()=>YS,logShaderSourceAndInfoLog:()=>Ef,resetMaxTextureSize:()=>r8,resetMaxTexturesInShader:()=>o8,unbindColorTextureFromFramebuffer:()=>Rf,unbindTextureUnit:()=>e8,validateFramebuffer:()=>rc,validateProgram:()=>kl,validateTextureSize:()=>ew});var Fu={},Nf={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function US(r,e){Fu[r]=e}function zr(r,e){if(!(r in Fu)||e!=null){let o=j5(r,e);if(o!==null)Fu[r]=o;else return console.log(\"Could not get context for WebGL version\",r),null}let t=Fu[r];return t==null||t.isContextLost()?(delete Fu[r],zr(r)):(t.disable(t.DEPTH_TEST),t.disable(t.STENCIL_TEST),t.disable(t.BLEND),t.disable(t.DITHER),t.disable(t.POLYGON_OFFSET_FILL),t.disable(t.SAMPLE_COVERAGE),t.enable(t.SCISSOR_TEST),t.enable(t.CULL_FACE),t.cullFace(t.BACK),Fu[r])}function q5(r){if(typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function j5(r,e){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let t=e==null?q5(r):e;return t.addEventListener(\"webglcontextlost\",o=>{o.preventDefault(),delete Fu[r]},!1),O().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(Nf.failIfMajorPerformanceCaveat=!1),r===1?t.getContext(\"webgl\",Nf)||t.getContext(\"experimental-webgl\",Nf):t.getContext(\"webgl2\",Nf)}var Li;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(Li||(Li={}));var ur;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(ur||(ur={}));var Zt;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(Zt||(Zt={}));function Ou(r,e){return[e,r]}function k$(r,e){return r*e}function Il(r){let e=y.sizeFromShape(r),t=Math.ceil(e/4);return y.sizeToSquarishShape(t)}function Qs(r,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(r/2))]}function N$(r,e){let[t,o]=Qs(r,e);return t*o*4}function vl(r,e){let t=r,o,n,s,a,i,p,u,c,l,m;return O().getNumber(\"WEBGL_VERSION\")===2?(o=t.R32F,n=t.R16F,s=t.RGBA16F,a=t.RGBA32F,i=t.RED,u=4,c=1,l=t.HALF_FLOAT,m=t.FLOAT,p=t.RGBA8):(o=r.RGBA,n=r.RGBA,s=r.RGBA,a=t.RGBA,i=r.RGBA,u=4,c=4,l=e!=null?e.HALF_FLOAT_OES:null,m=r.FLOAT,p=r.RGBA),{internalFormatFloat:o,internalFormatHalfFloat:n,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:a,textureFormatFloat:i,downloadTextureFormat:p,downloadUnpackNumChannels:u,defaultNumChannels:c,textureTypeHalfFloat:l,textureTypeFloat:m}}function pe(r,e){let t=e();return O().getBool(\"DEBUG\")&&X5(r),t}function X5(r){let e=r.getError();if(e!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+T$(r,e))}var Y5=596e-10,Q5=65504;function KS(r){return!!(O().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||Y5r.getExtension(e),'Extension \"'+e+'\" not supported on this browser.')}function qS(r,e){let t=Wa(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(pe(r,()=>r.shaderSource(t,e)),pe(r,()=>r.compileShader(t)),r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(t)),new Error(\"Failed to compile vertex shader.\");return t}function jS(r,e){let t=Wa(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(pe(r,()=>r.shaderSource(t,e)),pe(r,()=>r.compileShader(t)),O().get(\"ENGINE_COMPILE_ONLY\"))return t;if(r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw Ef(e,r.getShaderInfoLog(t)),new Error(\"Failed to compile fragment shader.\");return t}var Z5=/ERROR: [0-9]+:([0-9]+):/g;function Ef(r,e){let t=Z5.exec(e);if(t==null){console.log(`Couldn't parse line number in error: ${e}`),console.log(r);return}let o=+t[1],n=r.split(`\n`),s=n.length.toString().length+2,a=n.map((l,m)=>y.rightPad((m+1).toString(),s)+l),i=0;for(let l=0;lr.createProgram(),\"Unable to create WebGLProgram.\")}function YS(r,e){if(pe(r,()=>r.linkProgram(e)),!O().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(e,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error(\"Failed to link vertex and fragment shaders.\")}function kl(r,e){if(pe(r,()=>r.validateProgram(e)),r.getProgramParameter(e,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error(\"Shader program validation failed.\")}function QS(r,e){let t=Wa(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),pe(r,()=>r.bufferData(r.ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function ZS(r,e){let t=Wa(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return pe(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t)),pe(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function J5(){return O().getNumber(\"WEBGL_VERSION\")===2?1:4}function JS(r){return Wa(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function ew(r,e){let t=O().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||e<=0){let o=`[${r}x${e}]`;throw new Error(\"Requested texture size \"+o+\" is invalid.\")}if(r>t||e>t){let o=`[${r}x${e}]`,n=`[${t}x${t}]`;throw new Error(\"Requested texture size \"+o+\" greater than WebGL maximum on this browser / GPU \"+n+\".\")}}function tw(r){return Wa(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function Af(r,e,t,o,n,s,a){let i=r.getAttribLocation(e,t);return i===-1?!1:(pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,o)),pe(r,()=>r.vertexAttribPointer(i,n,r.FLOAT,!1,s,a)),pe(r,()=>r.enableVertexAttribArray(i)),!0)}function _$(r,e,t){E$(r,t),pe(r,()=>r.activeTexture(r.TEXTURE0+t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,e))}function e8(r,e){E$(r,e),pe(r,()=>r.activeTexture(r.TEXTURE0+e)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function rw(r,e,t){return Wa(r,()=>r.getUniformLocation(e,t),'uniform \"'+t+'\" not present in program.')}function ow(r,e,t){return r.getUniformLocation(e,t)}function nw(r,e,t,o){pe(r,()=>_$(r,e,o)),pe(r,()=>r.uniform1i(t,o))}function t8(r){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),pe(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),pe(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Nl(r,e,t){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),pe(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0))}function Rf(r,e){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),pe(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function rc(r){let e=r.checkFramebufferStatus(r.FRAMEBUFFER);if(e!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+$$(r,e))}function $$(r,e){switch(e){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${e}`}}function Wa(r,e,t){let o=pe(r,()=>e());if(o==null)throw new Error(t);return o}function E$(r,e){let t=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,o=e+r.TEXTURE0;if(ot){let n=`[gl.TEXTURE0, gl.TEXTURE${t}]`;throw new Error(`textureUnit must be in ${n}.`)}}function Ua(r,e=2){return y.sizeFromShape(r.slice(0,r.length-e))}function Ga(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function oc(r){let e=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(e=[Ua(r),...Ga(r)]),e}function sw(r,e=!1){let t=O().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),o=O().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");o===1/0&&O().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(o=t/2),e&&(t=t*2,o=o*2,r=r.map((i,p)=>p>=r.length-2?y.nearestLargerEven(r[p]):r[p]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let n=y.sizeFromShape(r),s=null;r.length<=1&&n<=t?s=[1,n]:r.length===2&&r[0]<=t&&r[1]<=t?s=r:r.length===3&&r[0]*r[1]<=t&&r[2]<=t?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=t&&r[1]*r[2]<=t?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=t&&r[3]<=t?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=t&&r[1]*r[2]*r[3]<=t&&(s=[r[0],r[1]*r[2]*r[3]]);let a=s!=null&&Math.max(...s)>o&&Math.min(...s)<=(e?2:1)&&Math.min(...s)>0;if(s==null||a)if(e){let i=Ua(r),p=2,u=2;r.length&&([p,u]=Ga(r)),n=i*(p/2)*(u/2),s=y.sizeToSquarishShape(n).map(c=>c*2)}else s=y.sizeToSquarishShape(n);return s}function Tf(r){return r%2===0}function Bi(r,e){if(r=r.slice(-2),e=e.slice(-2),y.arraysEqual(r,e)||!r.length||!e.length||r[0]===0||r[1]===0||e[0]===0||e[1]===0)return!0;if(r.length!==e.length){let t=r.slice(-1)[0],o=e.slice(-1)[0];if(t===o||Tf(t)&&Tf(o)&&(r[0]===1||e[0]===1))return!0}return r[1]===e[1]&&Tf(r[0])&&Tf(e[0])}var _f,$f;function aw(r){if(_f==null){let e=zr(r);_f=e.getParameter(e.MAX_TEXTURE_SIZE)}return _f}function r8(){_f=null}function o8(){$f=null}function iw(r){if($f==null){let e=zr(r);$f=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,$f)}function uw(r){if(r===0)return 0;let e,t=zr(r);return Wr(t,\"EXT_disjoint_timer_query_webgl2\")&&r===2?e=2:Wr(t,\"EXT_disjoint_timer_query\")?e=1:e=0,e}function Wr(r,e){return r.getExtension(e)!=null}function Df(r){try{if(zr(r)!=null)return!0}catch(e){return console.log(\"Error when getting WebGL context: \",e),!1}return!1}function pw(r){if(r===0)return!1;let e=zr(r);if(r===1){if(!Wr(e,\"OES_texture_float\"))return!1}else if(!Wr(e,\"EXT_color_buffer_float\"))return!1;return HS(e)}function cw(r){if(r===0)return!1;let e=zr(r);if(r===1){if(!Wr(e,\"OES_texture_float\")||!Wr(e,\"WEBGL_color_buffer_float\"))return!1}else{if(Wr(e,\"EXT_color_buffer_float\"))return HS(e);let o=\"EXT_color_buffer_half_float\";if(Wr(e,o)){let n=e.getExtension(o);return n8(e,n)}return!1}return HS(e)}function HS(r){let e=vl(r),t=r.createTexture();r.bindTexture(r.TEXTURE_2D,t);let o=1,n=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatFloat,o,n,0,e.textureFormatFloat,e.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(t),r.deleteFramebuffer(s),a}function n8(r,e){let t=vl(r,e),o=r.createTexture();r.bindTexture(r.TEXTURE_2D,o);let n=1,s=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatHalfFloat,n,s,0,t.textureFormatFloat,t.textureTypeHalfFloat,null);let a=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,a),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,o,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(o),r.deleteFramebuffer(a),i}function lw(r){return r!==2?!1:zr(r).fenceSync!=null}function us(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the WebGL backend.`)})}var Se=O();Se.registerFlag(\"HAS_WEBGL\",()=>Se.getNumber(\"WEBGL_VERSION\")>0);Se.registerFlag(\"WEBGL_VERSION\",()=>Df(2)?2:Df(1)?1:0);Se.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Se.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Se.get(\"WEBGL_VERSION\")===2);Se.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Se.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Se.registerFlag(\"WEBGL_PACK\",()=>Se.getBool(\"HAS_WEBGL\"));Se.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_CLIP\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>aw(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>iw(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Se.getNumber(\"WEBGL_VERSION\");return r===0?0:uw(r)});Se.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Se.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!ki.isMobile());Se.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>pw(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Se.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Se.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Se.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>cw(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>lw(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Se.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Se.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Se.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>ki.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Se.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Se.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Se.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Se.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Se.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Se.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Se.getBool(\"IS_TEST\"));Se.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Se.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Se.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);Se.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);function wt(){let r,e,t,o,n,s,a,i,p,u;return O().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",e=\"in\",t=\"out\",o=\"in\",n=\"texture\",s=\"outputColor\",a=\"out vec4 outputColor;\",i=O().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",p=\"\",u=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",e=\"attribute\",t=\"varying\",o=\"varying\",n=\"texture2D\",s=\"gl_FragColor\",a=\"\",i=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,p=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,u=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:e,varyingVs:t,varyingFs:o,texture2D:n,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:p,defineRound:u}}function ps(r,e,t=\"index\"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / ${n}`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${n}`:`index -= ${r[s]} * ${n}`;return`${a}; ${i};`}).join(\"\")}function Pu(r,e,t=\"index\"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / outShapeStrides[${s}]`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${a}; ${i};`}).join(\"\")}function s8(r,e){let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}function A$(r,e,t=\"index\"){let o=r.map((s,a)=>a),n=s8(o,e);return n.map((s,a)=>{let i=`int ${r[a]} = ${t} / ${n[a]}`,p=a===n.length-1?`int ${r[a+1]} = ${t} - ${r[a]} * ${n[a]}`:`index -= ${r[a]} * ${n[a]}`;return`${i}; ${p};`}).join(\"\")}function sc(r){let e=y.computeStrides(r).map(t=>t.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z;\n }\n`}function ac(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var Ff=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:R$}=S;function D$(r,e,t){let o=[];if(r.forEach(d=>{let f=y.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?o.push(`uniform float ${d.name}${f>1?`[${f}]`:\"\"};`):(o.push(`uniform sampler2D ${d.name};`),o.push(`uniform int offset${d.name};`)),t.enableShapeUniforms){let{uniformShape:h}=Of(t.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(h.length){case 1:o.push(`uniform int ${d.name}Shape;`);break;case 2:o.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:o.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:o.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}o.push(`uniform ivec2 ${d.name}TexShape;`)}}),t.enableShapeUniforms){switch(e.logicalShape.length){case 1:o.push(\"uniform int outShape;\");break;case 2:o.push(\"uniform ivec2 outShape;\"),o.push(\"uniform int outShapeStrides;\");break;case 3:o.push(\"uniform ivec3 outShape;\"),o.push(\"uniform ivec2 outShapeStrides;\");break;case 4:o.push(\"uniform ivec4 outShape;\"),o.push(\"uniform ivec3 outShapeStrides;\");break;default:break}o.push(\"uniform ivec2 outTexShape;\")}t.customUniforms&&t.customUniforms.forEach(d=>{o.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:\"\"};`)});let n=o.join(`\n`),s=r.map(d=>a8(d,e,t.packedInputs,t.enableShapeUniforms)).join(`\n`),a=e.texShape,i=wt(),p=p8(i),u,c,l=m8(i);return e.isPacked?(u=i8(e.logicalShape,a,t.enableShapeUniforms),c=l8(i)):(u=u8(e.logicalShape,a,t.enableShapeUniforms),c=c8(i)),t.packedInputs&&(l+=g8),[l,p,c,n,u,s,t.userCode].join(`\n`)}function uc(r,e=!1){let t=r.shapeInfo.logicalShape;switch(t.length){case 0:return _8(r,e);case 1:return E8(r,e);case 2:return R8(r,e);case 3:return F8(r,e);case 4:return P8(r,e);case 5:return M8(r);case 6:return L8(r);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function F$(r,e){switch(r.shapeInfo.logicalShape.length){case 0:return T8(r);case 1:return $8(r,e);case 2:return A8(r,e);case 3:return D8(r,e);default:return O8(r,e)}}function a8(r,e,t=!1,o){let n=\"\";t?n+=F$(r,o):n+=uc(r,o);let s=r.shapeInfo.logicalShape,a=e.logicalShape;return s.length<=a.length&&(t?n+=B8(r,e):n+=V8(r,e)),n}function i8(r,e,t){switch(r.length){case 0:return O$();case 1:return x8(r,e,t);case 2:return k8(r,e,t);case 3:return b8(r,e,t);default:return S8(r,e,t)}}function u8(r,e,t){switch(r.length){case 0:return O$();case 1:return y8(r,e,t);case 2:return N8(r,e,t);case 3:return C8(r,e,t);case 4:return w8(r,e,t);case 5:return I8(r,e);case 6:return v8(r,e);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function p8(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function c8(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function l8(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function m8(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${d8}\n ${f8}\n ${h8}\n `}var d8=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,f8=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,h8=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,g8=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function O$(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function x8(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return o[0]===1?t?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${o[1]}.0);\n }\n `:o[1]===1?t?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${o[0]}.0);\n }\n `:t?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${o[0]}, ${o[1]}));\n return 2 * (resTexRC.x * ${o[1]} + resTexRC.y);\n }\n `}function y8(r,e,t){return e[0]===1?t?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${e[1]}.0);\n }\n `:e[1]===1?t?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${e[0]}.0);\n }\n `:t?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n return resTexRC.x * ${e[1]} + resTexRC.y;\n }\n `}function b8(r,e,t){if(t)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[2]/2),s=n*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${o[0]}, ${o[1]}));\n int index = resTexRC.x * ${o[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${n});\n int c = imod(index, ${n}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function C8(r,e,t){if(t)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${Pu([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let o=ps([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n int index = resTexRC.x * ${e[1]} + resTexRC.y;\n ${o}\n return ivec3(r, c, d);\n }\n `}function S8(r,e,t){if(t)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[r.length-1]/2),s=n*Math.ceil(r[r.length-2]/2),a=s,i=\"\",p=\"b, r, c\";for(let u=2;u=1?c=\"coords = 0;\":c=i.map(b=>`coords.${l[b+u]} = 0;`).join(`\n`);let m=\"\";a<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,C)=>`coords.${l[C+u]}`).join(\", \");let d=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(e.logicalShape)===1;if(s===1&&!h&&!x)d=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)a===1?d=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:d=`\n return vec4(outputValue.x);\n `;else if(i.length){let b=s-2,C=s-1;i.indexOf(b)>-1&&i.indexOf(C)>-1?d=\"return vec4(outputValue.x);\":i.indexOf(b)>-1?d=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":i.indexOf(C)>-1&&(d=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${n}() {\n ${p} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${o}(${m});\n ${d}\n }\n `}function V8(r,e){let t=r.name,o=t.charAt(0).toUpperCase()+t.slice(1),n=\"get\"+o+\"AtOutCoords\",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,p=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===p&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return`\n float ${n}() {\n return sampleTexture(${t}, resultUV);\n }\n `;let u=$e(p),c=R$(r.shapeInfo.logicalShape,e.logicalShape),l=p-i,m,d=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];i===0?m=\"\":p<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${d[h+l]} = 0;`).join(`\n`);let f=\"\";return p<2&&i>0?f=\"coords\":f=r.shapeInfo.logicalShape.map((h,g)=>`coords.${d[g+l]}`).join(\", \"),`\n float ${n}() {\n ${u} coords = getOutputCoords();\n ${m}\n return get${o}(${f});\n }\n `}function $e(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Of(r,e,t){let{newShape:o,keptDims:n}=y.squeezeShape(e),s=e.length,a=r&&s===3&&e[0]===1,i=a?e.slice(1):o,p=!r&&s>1&&!y.arraysEqual(e,t)&&o.lengthr[t]).join(\", \")}function M$(r,e,t,o){let n=t.map((c,l)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:e.variableNames[l],shapeInfo:m}}),s=n.map(c=>c.shapeInfo),a={logicalShape:o.shape,texShape:o.texData.texShape,isUniform:!1,isPacked:o.texData.isPacked,flatOffset:null},i=D$(n,a,e),p=jS(r.gl,i),u=r.createProgram(p);return O().get(\"ENGINE_COMPILE_ONLY\")?{program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a},mw(r,e,u))}function mw(r,e,t){let o={},n={},s={},a=[],i,p,u,c=null,l=null;l=r.getUniformLocation(t,\"NAN\",!1),O().getNumber(\"WEBGL_VERSION\")===1&&(c=r.getUniformLocation(t,\"INFINITY\",!1));let m=!1;for(let d=0;d{a[f]=r.getUniformLocation(t,d.name,m)}),{uniformLocations:o,customUniformLocations:a,infLoc:c,nanLoc:l,inShapesLocations:n,inTexShapesLocations:s,outShapeLocation:i,outShapeStridesLocation:u,outTexShapeLocation:p}}function P$(r,e){if(r.length!==e.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${e.length} inputs`);r.forEach((t,o)=>{let n=t.logicalShape,s=e[o],a=s.shape;if(!y.arraysEqual(n,a))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${n} and ${a} must match`);if(t.isUniform&&s.isUniform)return;let i=t.texShape,p=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(i,p))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${p} must match`)})}function L$(r,e,t,o,n){e.program.enableShapeUniforms||(P$(e.inShapeInfos,t),P$([e.outShapeInfo],[o]));let s=o.texData.texture,a=o.texData.texShape;o.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,a[0],a[1]):r.setOutputMatrixTexture(s.texture,a[0],a[1]),r.setProgram(e.webGLProgram),O().getNumber(\"WEBGL_VERSION\")===1&&e.infLoc!==null&&r.gl.uniform1f(e.infLoc,1/0),e.nanLoc!==null&&r.gl.uniform1f(e.nanLoc,NaN),t.forEach((p,u)=>{let c=e.program.variableNames[u],l=e.uniformLocations[c],m=e.uniformLocations[`offset${c}`],d=e.inShapesLocations[`${c}Shape`],f=e.inTexShapesLocations[`${c}TexShape`];if(d){let{uniformShape:h}=Of(e.program.packedInputs,p.shape,p.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(d,new Int32Array(h));break;case 2:r.gl.uniform2iv(d,new Int32Array(h));break;case 3:r.gl.uniform3iv(d,new Int32Array(h));break;case 4:r.gl.uniform4iv(d,new Int32Array(h));break;default:break}}if(f&&r.gl.uniform2i(f,p.texData.texShape[0],p.texData.texShape[1]),l!=null){if(p.isUniform){if(y.sizeFromShape(p.shape)<2)r.gl.uniform1f(l,p.uniformValues[0]);else{let h=p.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(l,h)}return}p.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,p.texData.slice.flatOffset),r.setInputMatrixTexture(p.texData.texture.texture,l,u)}});let i=e.outShapeLocation;if(i)switch(o.shape.length){case 1:r.gl.uniform1iv(i,new Int32Array(o.shape));break;case 2:r.gl.uniform2iv(i,new Int32Array(o.shape));break;case 3:r.gl.uniform3iv(i,new Int32Array(o.shape));break;case 4:r.gl.uniform4iv(i,new Int32Array(o.shape));break;default:break}if(e.outShapeStridesLocation){let p=y.computeStrides(o.shape);switch(o.shape.length){case 2:r.gl.uniform1iv(e.outShapeStridesLocation,new Int32Array(p));break;case 3:r.gl.uniform2iv(e.outShapeStridesLocation,new Int32Array(p));break;case 4:r.gl.uniform3iv(e.outShapeStridesLocation,new Int32Array(p));break;default:break}}e.outTexShapeLocation&&r.gl.uniform2i(e.outTexShapeLocation,o.texData.texShape[0],o.texData.texShape[1]),e.program.customUniforms&&n&&e.program.customUniforms.forEach((p,u)=>{let c=e.customUniformLocations[u],l=n[u];if(p.type===\"float\")r.gl.uniform1fv(c,l);else if(p.type===\"vec2\")r.gl.uniform2fv(c,l);else if(p.type===\"vec3\")r.gl.uniform3fv(c,l);else if(p.type===\"vec4\")r.gl.uniform4fv(c,l);else if(p.type===\"int\")r.gl.uniform1iv(c,l);else if(p.type===\"ivec2\")r.gl.uniform2iv(c,l);else if(p.type===\"ivec3\")r.gl.uniform3iv(c,l);else if(p.type===\"ivec4\")r.gl.uniform4iv(c,l);else throw Error(`uniform type ${p.type} is not supported yet.`)}),r.executeProgram()}function B$(r,e,t){let o=\"\";e.concat(t).forEach(a=>{let i=a.texData!=null&&a.texData.slice!=null&&a.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!a.isUniform){let p=a.texData.texShape,{useSqueezeShape:u,uniformShape:c,keptDims:l}=Of(r.packedInputs,a.shape,p),m=\"\",d=\"\",f=\"\";if(c.length===1&&r.packedInputs){let k=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];m=`${k[0]>1}_${k[1]>1}`}else if(c.length===2&&!r.packedInputs)d=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let k=y.computeStrides(c);f=`${k[0]===p[1]}_${k[k.length-1]===p[1]}`}let h=a.shape.length,g=c.length===2&&y.arraysEqual(a.shape,p),x=y.sizeFromShape(a.shape)===1,b=S.getBroadcastDims(a.shape,t.shape),C=!r.packedInputs&&h===t.shape.length&&y.arraysEqual(p,t.texData.texShape),w=r.packedInputs||c.length>2?\"\":`${p[0]>1}_${p[1]>1}`;o+=`${h}_${C}_${u?l:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${w}_${i}`}else{let p=a.isUniform?\"uniform\":a.texData.texShape;o+=`${a.shape}_${p}_${i}`}});let n=r.userCode,s=r.constructor.name;return s+=\"_\"+o+\"_\"+n+`${O().getNumber(\"WEBGL_VERSION\")}`,s}function lt(r){return O().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var Pf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Li.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let t=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Pu([\"r\",\"c\",\"d\"],e):ps([\"r\",\"c\",\"d\"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${t.output} = result;\n }\n `}};var Mf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Li.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let t=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?Pu([\"r\",\"c\",\"d\"],e):ps([\"r\",\"c\",\"d\"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${t.output} = result;\n }\n `}};var Lf=class{constructor(e){this.variableNames=[\"A\"],this.outTexUsage=ur.DOWNLOAD;let t=wt();this.outputShape=e,this.userCode=`\n ${Ff}\n\n void main() {\n float x = getAAtOutCoords();\n ${t.output} = encode_float(x);\n }\n `}};var Bf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ur.DOWNLOAD;let t=wt();this.outputShape=e,this.userCode=`\n ${Ff}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${t.output} = encode_float(x);\n }\n `}};var U8={R:0,G:1,B:2,A:3},Tl=class{constructor(e,t=!1,o=\"RGBA\"){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let n=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let s=\"result\";t&&(s=\"floor(result * 255. + 0.5)\");let a=\"\";for(let i=0;iSw,createBufferFromOutputTexture:()=>vw,createFloat16MatrixTexture:()=>xw,createFloat16PackedMatrixTexture:()=>Cw,createFloat32MatrixTexture:()=>gw,createIndexBuffer:()=>hw,createPackedMatrixTexture:()=>bw,createUnsignedBytesMatrixTexture:()=>yw,createVertexBuffer:()=>fw,createVertexShader:()=>dw,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Nw,downloadFloat32MatrixFromBuffer:()=>kw,downloadMatrixFromPackedOutputTexture:()=>_w,downloadPackedMatrixFromBuffer:()=>Tw,getInternalFormatForFloat16MatrixTexture:()=>Wf,getInternalFormatForFloat16PackedMatrixTexture:()=>Hf,getInternalFormatForFloat32MatrixTexture:()=>zf,getInternalFormatForPackedMatrixTexture:()=>Gf,getInternalFormatForUnsignedBytesMatrixTexture:()=>Uf,uploadDenseMatrixToTexture:()=>ww,uploadPixelDataToTexture:()=>Iw});function dw(r){let e=wt(),t=`${e.version}\n precision highp float;\n ${e.attribute} vec3 clipSpacePos;\n ${e.attribute} vec2 uv;\n ${e.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return qS(r,t)}function fw(r){let e=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return QS(r,e)}function hw(r){let e=new Uint16Array([0,1,2,2,1,3]);return ZS(r,e)}function _l(r,e,t,o,n,s){ew(e,t);let a=JS(r),i=r.TEXTURE_2D;return pe(r,()=>r.bindTexture(i,a)),pe(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),pe(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),pe(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),pe(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),O().getNumber(\"WEBGL_VERSION\")===1?pe(r,()=>r.texImage2D(i,0,o,e,t,0,n,s,null)):pe(r,()=>r.texStorage2D(i,1,o,e,t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:a,texShape:[t,e]}}function zf(r){return r.internalFormatFloat}function gw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,zf(o),o.textureFormatFloat,r.FLOAT)}function Wf(r){return r.internalFormatHalfFloat}function xw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,Wf(o),o.textureFormatFloat,o.textureTypeHalfFloat)}function Uf(r){return r.downloadTextureFormat}function yw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,Uf(o),r.RGBA,r.UNSIGNED_BYTE)}function Gf(r){return r.internalFormatPackedFloat}function bw(r,e,t,o){let[n,s]=Qs(e,t);return _l(r,n,s,Gf(o),r.RGBA,r.FLOAT)}function Hf(r){return r.internalFormatPackedHalfFloat}function Cw(r,e,t,o){let[n,s]=Qs(e,t);return _l(r,n,s,Hf(o),r.RGBA,o.textureTypeHalfFloat)}function Sw(r,e,t){return pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Af(r,e,\"clipSpacePos\",t,3,20,0)&&Af(r,e,\"uv\",t,2,20,12)}function ww(r,e,t,o,n,s){pe(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,p;n instanceof Uint8Array?(a=new Uint8Array(t*o*4),i=r.UNSIGNED_BYTE,p=r.RGBA):(a=new Float32Array(t*o*4),i=r.FLOAT,p=s.internalFormatPackedFloat),a.set(n),O().getNumber(\"WEBGL_VERSION\")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t,o,r.RGBA,i,a)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,p,t,o,0,r.RGBA,i,a)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Iw(r,e,t){pe(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?O().getNumber(\"WEBGL_VERSION\")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t.width,t.height,r.RGBA,r.UNSIGNED_BYTE,t.data)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):O().getNumber(\"WEBGL_VERSION\")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,t)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function vw(r,e,t,o){let n=r.createBuffer();pe(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,n));let i=4*4*e*t;return pe(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),pe(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),pe(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),n}function kw(r,e,t){let o=r,n=new Float32Array(t);return o.bindBuffer(o.PIXEL_PACK_BUFFER,e),o.getBufferSubData(o.PIXEL_PACK_BUFFER,0,n),o.bindBuffer(o.PIXEL_PACK_BUFFER,null),n}function Nw(r,e,t,o){let[n,s]=Ou(e,t),a=4,i=new Uint8Array(k$(e*t,a));return pe(r,()=>r.readPixels(0,0,n,s,o.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function Tw(r,e,t,o,n,s,a,i){let p=r,u=new Float32Array(N$(s,a));return p.bindBuffer(p.PIXEL_PACK_BUFFER,e),p.getBufferSubData(p.PIXEL_PACK_BUFFER,0,u),p.bindBuffer(p.PIXEL_PACK_BUFFER,null),u}function _w(r,e,t){let o=new Float32Array(e*t*4);return pe(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,o)),o}var Lu=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=O().getNumber(\"WEBGL_VERSION\");if(e!=null?(this.gl=e,US(t,e)):this.gl=zr(t),e=this.gl,O().getNumber(\"WEBGL_VERSION\")===2){let s=e;this.createVertexArray=()=>pe(s,()=>s.createVertexArray()),this.bindVertexArray=a=>pe(s,()=>s.bindVertexArray(a)),this.deleteVertexArray=a=>pe(s,()=>s.deleteVertexArray(a)),this.getVertexArray=()=>pe(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(e!=null){let s=e.getExtension(\"OES_vertex_array_object\");if(s==null)throw new Error(\"All WebGL1 implementations are expected to offer OES_vertex_array_object.\");this.createVertexArray=()=>pe(e,()=>s.createVertexArrayOES()),this.bindVertexArray=a=>pe(e,()=>s.bindVertexArrayOES(a)),this.deleteVertexArray=a=>pe(e,()=>s.deleteVertexArrayOES(a)),this.getVertexArray=()=>pe(e,()=>e.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let o=\"WEBGL_color_buffer_float\",n=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),O().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",a=\"OES_texture_half_float\";if(this.textureFloatExtension=tc(this.gl,s),Wr(this.gl,a))this.textureHalfFloatExtension=tc(this.gl,a);else if(O().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(o),Wr(this.gl,n))this.colorBufferHalfFloatExtension=tc(this.gl,n);else if(O().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(o=\"EXT_color_buffer_float\",Wr(this.gl,o))this.colorBufferFloatExtension=this.gl.getExtension(o);else if(Wr(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=fw(this.gl),this.indexBuffer=hw(this.gl),this.framebuffer=tw(this.gl),this.textureConfig=vl(this.gl,this.textureHalfFloatExtension)}get debug(){return O().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let e=this.gl;pe(e,()=>e.finish()),pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),pe(e,()=>e.deleteFramebuffer(this.framebuffer)),pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),pe(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),pe(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),gw(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),xw(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),yw(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),Iw(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,o,n){this.throwIfDisposed(),ww(this.gl,e,t,o,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),Cw(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),bw(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(Rf(this.gl,this.framebuffer),this.outputTexture=null),pe(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,o){return this.downloadMatrixDriver(e,()=>Nw(this.gl,t,o,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,o,n,s,a){return Tw(this.gl,e,t,o,n,s,a,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return kw(this.gl,e,t)}createBufferFromTexture(e,t,o){this.bindTextureToFrameBuffer(e);let n=vw(this.gl,t,o,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,o;if(O().getBool(\"WEBGL_FENCE_API_ENABLED\")){let n=e,s=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),o=()=>{let a=n.clientWaitSync(s,0,0);return a===n.ALREADY_SIGNALED||a===n.CONDITION_SATISFIED},t=s}else O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),o=()=>this.isQueryAvailable(t,O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):o=()=>!0;return{query:t,isFencePassed:o}}downloadMatrixFromPackedTexture(e,t,o){return this.downloadMatrixDriver(e,()=>_w(this.gl,t,o))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=dw(t));let o=XS(t);pe(t,()=>t.attachShader(o,this.vertexShader)),pe(t,()=>t.attachShader(o,e)),YS(t,o);let n;return n=Object.assign(o,{vao:this.createVertexArray()}),this.bindVertexArray(n.vao),pe(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),console.assert(Sw(t,n,this.vertexBuffer),\"gpgpu_util.bindVertexProgramAttributeStreams not fully successful.\"),this.debug&&kl(t,n),this.setProgram(n),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(pe(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&(this.bindVertexArray(this.program.vao),this.debug&&kl(this.gl,this.program)),pe(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,o=!0){return this.throwIfDisposed(),o?rw(this.gl,e,t):ow(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),pe(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,o){this.throwIfDisposed(),this.throwIfNoProgram(),nw(this.gl,e,t,o)}setOutputMatrixTexture(e,t,o){this.setOutputMatrixTextureDriver(e,o,t)}setOutputPackedMatrixTexture(e,t,o){this.throwIfDisposed();let[n,s]=Qs(t,o);this.setOutputMatrixTextureDriver(e,n,s)}setOutputMatrixWriteRegion(e,t,o,n){this.setOutputMatrixWriteRegionDriver(o,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,o,n){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&kl(this.gl,this.program),rc(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,\"VAO changed between setProgram and executeProgram!\"),this.debugValidate()}pe(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),pe(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=tc(this.gl,O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.createQuery();return o.beginQuery(n.TIME_ELAPSED_EXT,s),s}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let t=this.gl,o=this.getQueryTimerExtensionWebGL2();t.endQuery(o.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(e,O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let o=this.gl;return o.getQueryParameter(e,o.QUERY_RESULT)/1e6}else{let o=this.getQueryTimerExtensionWebGL1();return o.getQueryObjectEXT(e,o.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.getQueryParameter(e,o.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let o=this.getQueryTimerExtensionWebGL1(),n=o.getQueryObjectEXT(e,o.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=G8(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:o}=this.itemsToPoll[t];o()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let o;\"setTimeoutCustom\"in O().platform&&(o=O().platform.setTimeoutCustom.bind(O().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,o)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),Nl(this.gl,e,this.framebuffer),this.debug&&rc(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Nl(this.gl,this.outputTexture,this.framebuffer),this.debug&&rc(this.gl)):Rf(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let o=t();return this.unbindTextureToFrameBuffer(),o}setOutputMatrixTextureDriver(e,t,o){this.throwIfDisposed();let n=this.gl;Nl(n,e,this.framebuffer),this.debug&&rc(n),this.outputTexture=e,pe(n,()=>n.viewport(0,0,t,o)),pe(n,()=>n.scissor(0,0,t,o))}setOutputMatrixWriteRegionDriver(e,t,o,n){this.throwIfDisposed(),pe(this.gl,()=>this.gl.scissor(e,t,o,n))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function G8(r){let e=0;for(;e`${r}.${t}`)}function Et(r,e){return e===1?[r]:Ew(r,e)}function $E(r,e){if(r===1)return\"rc\";let t=\"\";for(let o=0;o ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let t=\"\";for(let o=this.rank-2;o= ${this.enableShapeUniforms?`outShape[${o}]`:this.outputShape[o]}`,o= ${o};\n bool rEdge = rp1 >= ${n};\n `}getOutput(e){let t=this.getSourceCoordsArr(e);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}),\n cEdge ? 0. : getA(${t[1]}),\n rEdge ? 0. : getA(${t[2]}),\n rEdge || cEdge ? 0. : getA(${t[3]})`}};var mc=class{constructor(e,t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let o=\"\";for(let n=0;n<4;n++){let s=\"thisRC = rc;\";n%2===1&&(s+=\"thisRC.z += 1;\"),n>1&&(s+=\"thisRC.y += 1;\"),o+=`\n ${s}\n ${n>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${n}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${n>0?\"}\":\"\"}\n `}this.userCode=`\n ${H8(t,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?ac():sc(e)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":e[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":e[2]};\n\n ${o}\n\n setOutput(result);\n }\n `}};function H8(r,e){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${e?A$([\"r\",\"c\",\"d\"],\"inputShape\"):ps([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var Yf=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,o){let n=AE(t,o),s=RE(e,n,o);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=EE(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,o);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let p=this.freeTextures[s].shift();return this.usedTextures[s].push(p),p}let i;return n===Zt.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===Zt.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===Zt.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===Zt.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===Zt.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,o,n){if(this.freeTextures==null)return;let s=AE(o,n),a=RE(t,s,n);a in this.freeTextures||(this.freeTextures[a]=[]);let i=EE(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,n),p=O().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");p!==-1&&this._numBytesAllocated>p?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u.indexOf(e);if(c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");u.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function K8(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;if(e===t.RGBA8)return 4;throw new Error(`Unknown internal format ${e}`)}function EE(r,e,t,o,n){let s=q8(e,o),a;if(n){let[p,u]=Qs(r[0],r[1]);a=p*u}else{let[p,u]=Ou(r[0],r[1]);a=p*u}let i=K8(t,s);return a*i}function q8(r,e){switch(r){case Zt.PACKED_2X2_FLOAT32:return Gf(e);case Zt.PACKED_2X2_FLOAT16:return Hf(e);case Zt.UNPACKED_FLOAT32:return zf(e);case Zt.UNPACKED_FLOAT16:return Wf(e);case Zt.PACKED_4X1_UNSIGNED_BYTE:return Uf(e);default:throw new Error(`Unknown physical texture type ${r}`)}}function j8(r){return O().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?Zt.PACKED_2X2_FLOAT32:Zt.UNPACKED_FLOAT32:r?Zt.PACKED_2X2_FLOAT16:Zt.UNPACKED_FLOAT16}function AE(r,e){if(r===ur.UPLOAD)return Zt.PACKED_2X2_FLOAT32;if(r===ur.RENDER||r==null)return j8(e);if(r===ur.DOWNLOAD||r===ur.PIXELS)return Zt.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function RE(r,e,t){return`${r[0]}_${r[1]}_${e}_${t}`}var Jt=class{constructor(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${t}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},zt=\"if (isnan(x)) return x;\",DE=\"return x;\",Aw=\"return abs(x);\";var FE=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",OE=zt+`\n return (x < 0.0) ? 0.0 : x;\n`,PE=zt+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Zs=\"return x;\",ME=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var BE=\"return x;\",VE=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,zE=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,WE=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,UE=\"return 1.0 / (1.0 + exp(-1.0 * x));\",Er=class{constructor(e,t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${t}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var Qf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let t=e.length,o=Et(\"rc\",t),n=$e(t),s=$E(t,o),a=o.slice(-2),i=t<=1?\"rc\":`vec2(${a.join(\",\")})`;this.userCode=`\n void main() {\n ${n} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${i}));\n }\n `}};var Y8=Vt.whereImpl,Q8=1e-7,Z8=1e-4,Zf={};function J8(r){return r in Zf||(Zf[r]={}),Zf[r]}var eY=O().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),tY=600;function rY(){return O().global.screen==null?1024:O().global.screen.height*O().global.screen.width*window.devicePixelRatio*tY/1024/1024}var Vi=class extends Zr{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!O().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let t;if(e!=null){if(e instanceof Lu)t=e;else{let o=zr(O().getNumber(\"WEBGL_VERSION\"),e);t=new Lu(o)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let o=zr(O().getNumber(\"WEBGL_VERSION\"));t=new Lu(o),this.binaryCache=J8(O().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Yf(this.gpgpu),this.numMBBeforeWarning=rY(),this.texData=new Fo(this,sr())}nextDataId(){return Vi.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,o,n,s,a){let i=this.makeTensorInfo(t,o),p=this.texData.get(i.dataId);p.isPacked=!1,p.texture={texture:e,texShape:[n,s]},p.texShape=[n,s];let u=oc(t),c=new Tl(u,!1,a),l=this.runWebGLProgram(c,[i],o,[[n,s]]);return l.shape=t,p.texture=null,this.disposeIntermediateTensorInfo(i),l.dataId}write(e,t,o){if((O().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||O().getBool(\"DEBUG\"))&&this.checkNumericalProblems(e),o===\"complex64\"&&e!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:o,values:e,usage:ur.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,o,n,s){if(O().getBool(\"DEBUG\")&&this.checkNumericalProblems(t),n===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(e,{shape:o,dtype:n,values:t,usage:ur.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:o,dtype:n,complexTensorInfos:s,slice:a,shape:i,isPacked:p}=t;if(a!=null){let m;p?m=new Er(i,Zs):m=new Jt(i,Zs);let d=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:n}],n),f=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),f}if(o!=null)return this.convertAndCacheOnCPU(e);if(n===\"string\")return o;let u=this.activeTimers!=null,c;u&&(c=y.now());let l;if(n===\"complex64\"){let m=this.readSync(s.real.dataId),d=this.readSync(s.imag.dataId);l=S.mergeRealAndImagArrays(m,d)}else l=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,l)}async read(e){if(this.pendingRead.has(e)){let f=this.pendingRead.get(e);return new Promise(h=>f.push(h))}let t=this.texData.get(e),{values:o,shape:n,slice:s,dtype:a,complexTensorInfos:i,isPacked:p}=t;if(s!=null){let f;p?f=new Er(n,Zs):f=new Jt(n,Zs);let h=this.runWebGLProgram(f,[{dataId:e,shape:n,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(o!=null)return this.convertAndCacheOnCPU(e);if(O().getBool(\"DEBUG\")&&!O().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&O().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let u=null,c;if(a!==\"complex64\"&&O().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(e);let f=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(f.texture.texture,...Il(n))}this.pendingRead.set(e,[]),a!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let l;if(a===\"complex64\"){let f=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=f[0],g=f[1];l=S.mergeRealAndImagArrays(h,g)}else if(u==null)l=this.getValuesFromTexture(e);else{let f=y.sizeFromShape(n);l=this.gpgpu.downloadFloat32MatrixFromBuffer(u,f)}if(c!=null&&this.disposeIntermediateTensorInfo(c),u!=null){let f=this.gpgpu.gl;pe(f,()=>f.deleteBuffer(u))}let m=this.convertAndCacheOnCPU(e,l),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(f=>f(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&sr().removeDataId(e,this),this.pendingDeletes--),m}readToGPU(e,t={}){let o=this.texData.get(e),{values:n,shape:s,slice:a,dtype:i,isPacked:p,texture:u}=o;if(i===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(a!=null){let d;p?d=new Er(s,Zs):d=new Jt(s,Zs);let f=this.runWebGLProgram(d,[{dataId:e,shape:s,dtype:i}],i),h=this.readToGPU(f,t);return this.disposeIntermediateTensorInfo(f),h}if(u==null)throw n!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(e,t.customTexShape),l=sr().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:l},m.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype===\"string\")try{let o=t.map(n=>y.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return le(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(p=>p.query)).filter(p=>p!=null),a=y.flatten(this.activeTimers.map(p=>p.name)).filter(p=>p!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let p=await Promise.all(s);i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(\", \")}else i.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(O().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:o}=this.texData.get(e);return o!=null&&(this.disposeData(o.real.dataId,t),this.disposeData(o.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:o,texShape:n,usage:s,isPacked:a,slice:i}=this.texData.get(e),p=i&&i.origDataId||e,u=this.dataRefCount.get(p);u>1?this.dataRefCount.set(p,u-1):(this.dataRefCount.delete(p),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,o),this.textureManager.releaseTexture(t,n,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=eY){return O().getBool(\"WEBGL_CPU_FORWARD\")&&e.every(o=>this.texData.get(o.dataId).texture==null&&y.sizeFromShape(o.shape)0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,o){return sr().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,o),this)}unpackTensor(e){let t=new Qf(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new Xf(e.shape),o=!0;return this.runWebGLProgram(t,[e],e.dtype,null,o)}packedReshape(e,t){let o=[Ua(e.shape),...Ga(e.shape)],n={dtype:e.dtype,shape:o,dataId:e.dataId},s=[Ua(t),...Ga(t)],a=new mc(s,o),i=!0,p=[o],u=this.runWebGLProgram(a,[n],e.dtype,p,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}decode(e,t){let o=this.texData.get(e),{isPacked:n,shape:s,dtype:a}=o;if(t!=null){let m=y.sizeFromShape(s),d=t[0]*t[1]*4;y.assert(m<=d,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let i=oc(s),p;n?p=new Mf(i):p=new Pf(i);let u=!0,c=[t!=null?t:Il(i)],l=this.runWebGLProgram(p,[{shape:i,dtype:a,dataId:e}],a,c,u,t);return{dtype:a,shape:s,dataId:l.dataId}}runWebGLProgram(e,t,o,n,s=!1,a){let i=this.makeTensorInfo(e.outputShape,o),p=this.texData.get(i.dataId);if(e.packedOutput&&(p.isPacked=!0),e.outPackingScheme===Li.DENSE){let x=a!=null?a:Il(e.outputShape);p.texShape=x.map(b=>b*2)}if(e.outTexUsage!=null&&(p.usage=e.outTexUsage),y.sizeFromShape(i.shape)===0)return p.values=y.getTypedArrayFromDType(i.dtype,0),i;let u=[],c=t.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!e.packedInputs&&y.sizeFromShape(x.shape)<=O().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!e.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),u.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Bi(b.shape,x.shape)){let C=x,w=x.shape;x.shape=b.shape,x=this.packedReshape(x,w),u.push(x),b=this.texData.get(x.dataId),C.shape=w}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let l={shape:i.shape,texData:p,isUniform:!1},m=B$(e,c,l),d=this.getAndSaveBinary(m,()=>M$(this.gpgpu,e,c,l)),f=this.activeTimers!=null,h;f&&(h=this.startTimer()),O().get(\"ENGINE_COMPILE_ONLY\")||L$(this.gpgpu,d,c,l,n),u.forEach(x=>this.disposeIntermediateTensorInfo(x)),f&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));let g=O().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!O().getBool(\"WEBGL_LAZILY_UNPACK\")&&p.isPacked&&s===!1){let x=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),x}return i}compileAndRun(e,t,o,n,s=!1){return o=o||t[0].dtype,this.runWebGLProgram(e,t,o,n,s)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(O().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=Ee(()=>{if(!O().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let e=O().getBool(\"DEBUG\");O().set(\"DEBUG\",!1);let t=this.abs(Ce(1e-8)).dataSync()[0];if(O().set(\"DEBUG\",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Q8:Z8}uploadToGPU(e){let t=this.texData.get(e),{shape:o,dtype:n,values:s,texture:a,usage:i,isPacked:p}=t;if(a!=null)return;let u=this.activeTimers!=null,c;u&&(c=y.now());let l=t.texShape;if(l==null&&(l=sw(o,p),t.texShape=l),s!=null){let m=oc(o),d,f=l[1],h=l[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(p||!g)&&([f,h]=Qs(l[0],l[1])),p?d=new Vf(m,g):d=new Tl(m,g);let x=g?[h,f]:l,b=this.makeTensorInfo(x,n),C=this.texData.get(b.dataId);g?C.usage=ur.PIXELS:C.usage=ur.UPLOAD,C.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),f,h,s);let w=[[h,f]],k=!0,_=this.runWebGLProgram(d,[b],n,w,k),E=this.texData.get(_.dataId);t.texShape=E.texShape,t.isPacked=E.isPacked,t.usage=E.usage,O().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(t.texture=E.texture,t.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),u&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(l,i,n,p);t.texture=m}}convertAndCacheOnCPU(e,t){let o=this.texData.get(e),{dtype:n}=o;return t!=null&&(o.values=oY(t,n)),o.values}acquireTexture(e,t,o,n){if(this.numBytesInGPU+=this.computeBytes(e,o),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*y.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let o=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(s){throw s}});e.push(o)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await AC(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Ef(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:o,infLoc:n,nanLoc:s,inShapesLocations:a,inTexShapesLocations:i,outShapeLocation:p,outShapeStridesLocation:u,outTexShapeLocation:c}=mw(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=o,e.infLoc=n,e.nanLoc=s,e.inShapesLocations=a,e.inTexShapesLocations=i,e.outShapeLocation=p,e.outShapeStridesLocation=u,e.outTexShapeLocation=c}}createTensorFromGPUData(e,t,o){e.channels=e.channels||\"RGBA\";let{texture:n,height:s,width:a,channels:i}=e,p=sr().backend;if(!p.gpgpu.gl.isTexture(n))throw new Error(\"The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.\");let u=p.writeTexture(n,t,o,s,a,i);return sr().makeTensorFromDataId(u,t,o,p)}};Vi.nextDataId=0;function oY(r,e){if(e===\"float32\"||e===\"complex64\")return r;if(e===\"int32\"||e===\"bool\"){let t=e===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let o=0;onew Vi,2);var CJe={forceHalfFloat:GE};var dc=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var io=class{constructor(e,t,o){this.variableNames=[\"A\",\"B\"],this.outputShape=S.assertAndGetBroadcastShape(t,o),this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${e}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var Js=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var _o=class{constructor(e,t,o,n=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(t,o);let s=this.outputShape.length;this.enableShapeUniforms=lt(s);let a=\"\";if(n)if(s===0||y.sizeFromShape(this.outputShape)===1)a=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(a=`\n ${$e(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?a+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:a+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let p=Et(\"coords\",s);this.enableShapeUniforms?a+=`\n bool nextRowOutOfBounds =\n (${p[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${p[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:a+=`\n bool nextRowOutOfBounds =\n (${p[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${p[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${e}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${a}\n\n setOutput(result);\n }\n `}};function At(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var HE={kernelName:mo,backendName:\"webgl\",kernelFunc:At};function Ar(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,\"complex64\"),a=t.texData.get(s.dataId),i=At({inputs:{x:o},backend:t}),p=At({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var KE={kernelName:ri,backendName:\"webgl\",kernelFunc:Ar};var Rw=\"return (a < 0.) ? b * a : a;\",Dw=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function sY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=t.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),i=O().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new _o(Dw,n.shape,a.shape):new io(Rw,n.shape,a.shape),p=t.runWebGLProgram(i,[n,a],\"float32\");return t.disposeIntermediateTensorInfo(a),p}var qE={kernelName:ln,backendName:\"webgl\",kernelFunc:sY};var Fw=\"return (a < 0.) ? b * a : a;\",Ow=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function aY(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=O().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new _o(Ow,o.shape,n.shape):new io(Fw,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],\"float32\")}var jE={kernelName:Rn,backendName:\"webgl\",kernelFunc:aY};var $o=\"if (isnan(x)) return x;\";function he({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:o}){return({inputs:n,backend:s})=>{let{x:a}=n,i=s,p=o||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let l=i.texData.get(a.dataId),m=t(l.values,p);return i.makeTensorInfo(a.shape,p,m)}let u=O().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&e!=null,c;return u?c=new Er(a.shape,e):c=new Jt(a.shape,r),i.runWebGLProgram(c,[a],p)}}function tt({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:o=!1,cpuKernelImpl:n,dtype:s}){return({inputs:a,backend:i})=>{let{a:p,b:u}=a,c=i;if(o&&p.dtype===\"complex64\"){let f=c.texData.get(p.dataId),h=c.texData.get(u.dataId),[g,x]=[[f.complexTensorInfos.real,h.complexTensorInfos.real],[f.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(C=>{let[w,k]=C,_={dataId:w.dataId,dtype:w.dtype,shape:p.shape},E={dataId:k.dataId,dtype:k.dtype,shape:u.shape},A=new io(r,p.shape,u.shape);return c.runWebGLProgram(A,[_,E],dt(w.dtype,k.dtype))}),b=Ar({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let l=s||dt(p.dtype,u.dtype);if((p.dtype===\"string\"||u.dtype===\"string\"||c.shouldExecuteOnCPU([p,u]))&&n!=null){let f=c.texData.get(p.dataId).values,h=c.texData.get(u.dataId).values,g=p.dtype===\"string\"?S.fromUint8ToStringArray(f):f,x=p.dtype===\"string\"?S.fromUint8ToStringArray(h):h,[b,C]=n(p.shape,u.shape,g,x,l),w=c.makeTensorInfo(C,l),k=c.texData.get(w.dataId);return k.values=b,w}let m=O().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&e!=null,d;return m?d=new _o(e,p.shape,u.shape,t):d=new io(r,p.shape,u.shape),c.runWebGLProgram(d,[p,u],l)}}function Ha(r,e=!1){if(r===\"linear\")return e?BE:DE;if(r===\"relu\")return e?zE:OE;if(r===\"elu\")return e?VE:FE;if(r===\"relu6\")return e?WE:PE;if(r===\"prelu\")return e?Ow:Fw;if(r===\"leakyrelu\")return e?Dw:Rw;if(r===\"sigmoid\")return e?UE:ME;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var fc=class{constructor(e,t,o,n=!1,s=!1,a=!1,i=null,p=!1,u=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o,this.enableShapeUniforms=lt(this.outputShape.length);let c=n?e[1]:e[2],l=Math.ceil(c/2),m=n?\"i * 2, rc.y\":\"rc.y, i * 2\",d=s?\"rc.z, i * 2\":\"i * 2, rc.z\",f=n?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";i&&(p?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${i}\n }`:u?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${i}\n }`:g=`vec4 activation(vec4 x) {\n ${i}\n }`,x=\"result = activation(result);\");let b=a?\"result += getBiasAtOutCoords();\":\"\";a&&this.variableNames.push(\"bias\"),p&&this.variableNames.push(\"preluActivationWeights\"),u&&this.variableNames.push(\"leakyreluAlpha\");let C=\"rc.x\",w=\"rc.x\";e[0]`The new shape (${p}) has ${u} elements and the old shape (${n.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(n.dataId);return c.isPacked&&!Bi(n.shape,p)&&!(c.texture!==null&&Bi(c.shape,p))?QE(n,p,a):(a.incRef(n.dataId),{dataId:n.dataId,shape:p,dtype:n.dtype})}var ZE={kernelName:_s,backendName:\"webgl\",kernelFunc:re};var Al=class{constructor(e,t){this.variableNames=[\"x\"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=Math.floor(o/4)*4,p=o%4,u=\"sumValue += dot(values, ones);\";if(t!=null){let l=1/t;u=`sumValue += dot(values * ${y.isInt(l)?l.toPrecision(2):l}, ones);`}let c=\"\";s%o>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${i}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${u}\n }\n\n int inIdx = inOffset + ${i};\n if (${p===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${u}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${u}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${u}\n }\n setOutput(sumValue);\n }\n `}};var Jf=class{constructor(e,t){this.variableNames=[\"x\"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=\"0.0\",p=\"\";t===\"prod\"?i=\"1.0\":t===\"min\"?(i=\"1.0 / 1e-20\",p=\"min\"):t===\"max\"&&(i=\"-1.0 / 1e-20\",p=\"max\");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"sum\"?u=\"sumValue\":t===\"prod\"?u=\"prodValue\":t===\"all\"?u=\"allValue\":t===\"any\"&&(u=\"anyValue\");let c=Math.floor(o/4)*4,l=o%4,m=`\n if (${t===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${t===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${p}(values, minMaxValue);\n if (${t===\"min\"} || ${t===\"max\"}) {\n minMaxValue = ${p}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,d=\"vec4\";t===\"all\"?(i=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,d=\"bvec4\"):t===\"any\"&&(i=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,d=\"bvec4\");let f=\"\";s%o>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${i};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n vec4 minMaxValue = vec4(${i});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${l===1}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${l===2}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${l===3}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${u});\n }\n `}};function uY(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],o=S.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:o,outSize:Math.ceil(t/o)})}return e}function Ur(r,e,t,o){let n=uY(r.shape),s=r;for(let a=0;a6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],o=new Array(e);for(let n=0;n6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=$e(this.rank),s=Ew(\"rc\",this.rank),a=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=re({inputs:{x:r},backend:n,attrs:{shape:k}}),A=re({inputs:{x:e},backend:n,attrs:{shape:_}}),R=[E,A],D=Math.max(x,b),P=t?E.shape[1]:E.shape[2],M=s!=null,L=a!=null,V=p===\"leakyrelu\",z=p!=null?Ha(p,!0):null,U=M||L||V||z!=null,K;if((d===1||f===1)&&P>Mw&&U===!1){let q=E,Z=A;t&&(q=yt({inputs:{x:E},backend:n,attrs:{perm:[0,2,1]}}),R.push(q)),o&&(Z=yt({inputs:{x:A},backend:n,attrs:{perm:[0,2,1]}}),R.push(Z));let ee=f!==1,oe=f===1,J=q;ee&&(J=re({inputs:{x:q},backend:n,attrs:{shape:[D,P,1]}}),R.push(J));let te=f===1?2:1,ie=Z;oe&&(ie=re({inputs:{x:Z},backend:n,attrs:{shape:[D,1,P]}}),R.push(ie));let ce=El({inputs:{a:J,b:ie},backend:n});K=Vu({inputs:{x:ce},backend:n,attrs:{axis:te,keepDims:!0}}),R.push(ce)}else{let q=dt(r.dtype,e.dtype),Z=new fc(k,_,[D,d,f],t,o,M,z,L,V),ee=[E,A];if(s!=null&&ee.push(s),L&&ee.push(a),V){let oe=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));ee.push(oe),R.push(oe)}K=n.runWebGLProgram(Z,ee,q)}let H=re({inputs:{x:K},backend:n,attrs:{shape:w}});R.push(K);for(let q of R)n.disposeIntermediateTensorInfo(q);return H}function cY(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return zu({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var rA={kernelName:ho,backendName:\"webgl\",kernelFunc:cY};var oA=\"return abs(x);\";function lY(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])&&o.dtype!==\"complex64\"){let s=t.texData.get(o.dataId),a=qf(s.values);return t.makeTensorInfo(o.shape,o.dtype,a)}let n;return O().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?n=new Er(o.shape,oA):n=new Jt(o.shape,oA),t.runWebGLProgram(n,[o],o.dtype)}var nA={kernelName:ys,backendName:\"webgl\",kernelFunc:lY};var mY=zt+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,dY=he({opSnippet:mY}),sA={kernelName:aa,backendName:\"webgl\",kernelFunc:dY};var fY=zt+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,backendName:\"webgl\",kernelFunc:hY};var iA=\"return a + b;\",gY=tt({opSnippet:iA,packedOpSnippet:iA,supportsComplex:!0,cpuKernelImpl:V$}),uA={kernelName:eo,backendName:\"webgl\",kernelFunc:gY};var rh=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`float v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${o.join(`\n `)}\n\n float result = ${n};\n setOutput(result);\n }\n `}};var oh=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`vec4 v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${o.join(`\n `)}\n\n vec4 result = ${n};\n setOutput(result);\n }\n `}};function nh(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return At({inputs:{x:o[0]},backend:t});if(o.length>O().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let p=Math.floor(o.length/2),u=nh({inputs:o.slice(0,p),backend:t}),c=nh({inputs:o.slice(p),backend:t});return nh({inputs:[u,c],backend:t})}let n=o.map(p=>p.dtype).reduce((p,u)=>dt(p,u)),s=o.map(p=>p.shape),i=O().getBool(\"WEBGL_PACK\")?new oh(o[0].shape,s):new rh(o[0].shape,s);return t.runWebGLProgram(i,o,n)}var pA={kernelName:Po,backendName:\"webgl\",kernelFunc:nh};function xY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=S.getInnerMostAxes(u.length,i)),S.assertAxesAreInnerMostDims(\"all\",u,i);let[m,d]=S.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=re({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=Ur(h,h.dtype,\"all\",t),x;if(a){let b=S.expandShapeToKeepDim(m,p);x=re({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=re({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var cA={kernelName:Mo,backendName:\"webgl\",kernelFunc:xY};function yY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=S.getInnerMostAxes(u.length,i)),S.assertAxesAreInnerMostDims(\"any\",u,i);let[m,d]=S.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=re({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=Ur(h,h.dtype,\"any\",t),x;if(a){let b=S.expandShapeToKeepDim(m,p);x=re({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=re({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var lA={kernelName:Lo,backendName:\"webgl\",kernelFunc:yY};var sh=class{constructor(e,t,o){this.variableNames=[\"A\"];let{windowSize:n,batchSize:s,outSize:a}=e;o||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,a];let i=t===\"max\"?\">\":\"<\",p=o?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${n}; i++) {\n int inIdx = ${p};\n float candidate = getA(batch, inIdx);\n if (candidate ${i} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var ah=class{constructor(e,t,o,n){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${o.charAt(0).toUpperCase()+o.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),n||this.variableNames.push(\"bestIndicesA\");let i=this.outputShape,p=i.length,u=$e(p),c=Et(\"coords\",p),l,m;if(a===1){m=p+1;let A=$e(m);l=`\n ${A} sourceLocR = ${A}(${c.join()}, 0);\n ++${c[p-1]};\n ${A} sourceLocG = ${A}(${c.join()}, 0);\n ++${c[p-2]};\n ${A} sourceLocA = ${A}(${c.join()}, 0);\n --${c[p-1]};\n ${A} sourceLocB = ${A}(${c.join()}, 0);\n --${c[p-2]};`}else m=p,l=`\n ${u} sourceLocR = coords;\n ++${c[p-1]};\n ${u} sourceLocG = coords;\n ++${c[p-2]};\n ${u} sourceLocA = coords;\n --${c[p-1]};\n ${u} sourceLocB = coords;\n --${c[p-2]};`;let d=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),f=\".\"+d[m-1],h=d.map(A=>\"int \"+A),g=Et(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=Et(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=Et(\"sourceLocB\",m-1).concat(\"inIdx.b\"),C=Et(\"sourceLocA\",m-1).concat(\"inIdx.a\"),w=o===\"max\"?\"greaterThan\":\"lessThan\",k=n?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${C.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${C.join()}) : 0.)`,E=n?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${d.join()}),\n vec2(${d.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${d.join()}),\n vec2(${d.slice(-2).join()}));\n }\n ${E}\n void main() {\n ${u} coords = getOutputCoords();\n bool hasNextCol = ${c[p-1]} < ${i[p-1]-1};\n bool hasNextRow = ${c[p-2]} < ${i[p-2]-1};\n ${l}\n ivec4 srcIdx = ivec4(sourceLocR${f}, sourceLocG${f},\n sourceLocB${f}, sourceLocA${f}) * ${t};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${t}; i++) {\n inIdx = srcIdx;\n ${k}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${w}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function mA(r,e,t,o=null){let n=e.shape[0],s=e.shape[1];o!=null&&(n=o.shape[0],s=o.shape[1]);let a=S.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:n,outSize:Math.ceil(s/a)},p=new sh(i,t,o==null),u=[e];o!=null&&u.push(o);let c=r.runWebGLProgram(p,u,\"int32\");if(c.shape[1]===1)return c;let l=mA(r,e,t,c);return r.disposeIntermediateTensorInfo(c),l}function dA(r,e,t,o=null){let n=o!=null?o.shape:e.shape,s=n[n.length-1],a=S.computeOptimalWindowSize(s),i=new ah(n,a,t,o==null),p=o==null?[e]:[e,o],u=r.runWebGLProgram(i,p,\"int32\");if(u.shape.length===e.shape.length){let c=dA(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function ih(r,e,t,o){let n=[t];if(S.assertAxesAreInnerMostDims(\"arg\"+o.charAt(0).toUpperCase()+o.slice(1),n,e.shape.length),!O().getBool(\"WEBGL_PACK_REDUCE\")||e.shape.length<=2){let s=[],a=r.texData.get(e.dataId),i=a!==null&&a.isPacked,p=e;i&&(p=r.unpackTensor(e),s.push(p));let[u,c]=S.computeOutAndReduceShapes(p.shape,n),l=y.sizeFromShape(c),m=re({inputs:{x:p},backend:r,attrs:{shape:[-1,l]}});s.push(m);let d=mA(r,m,o);s.push(d);let f=re({inputs:{x:d},backend:r,attrs:{shape:u}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),f}return dA(r,e,o)}function bY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=yt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims(\"argMax\",[a[0]],p.shape.length);let c=ih(t,p,a[0],\"max\");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var fA={kernelName:Bo,backendName:\"webgl\",kernelFunc:bY};function CY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=yt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims(\"argMin\",[a[0]],p.shape.length);let c=ih(t,p,a[0],\"min\");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var hA={kernelName:ei,backendName:\"webgl\",kernelFunc:CY};var SY=zt+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,wY=he({opSnippet:SY}),gA={kernelName:ua,backendName:\"webgl\",kernelFunc:wY};var IY=zt+\"return log(x + sqrt(x * x + 1.0));\",vY=he({opSnippet:IY}),xA={kernelName:pa,backendName:\"webgl\",kernelFunc:vY};var kY=zt+`\n return atan(x);\n`,NY=he({opSnippet:kY}),yA={kernelName:ca,backendName:\"webgl\",kernelFunc:NY};var TY=dc+`\n return atan(a, b);\n`,_Y=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+Js+`\n return result;\n`,$Y=tt({opSnippet:TY,packedOpSnippet:_Y}),bA={kernelName:ma,backendName:\"webgl\",kernelFunc:$Y};var EY=zt+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelName:la,backendName:\"webgl\",kernelFunc:AY};var cs=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=[\"x\"],t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");let a=e.filterWidth,i=e.strideHeight,p=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterHeight,m=e.effectiveFilterWidth,d=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;let h=t===\"avg\",g=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),o){let A=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${i}, ${p});\n const ivec2 pads = ivec2(${d}, ${f});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${l};\n wR += ${u}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${A} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${n?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let C=\"max\",w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"avg\"&&(w=\"avgValue / max(count, 1.0)\");let k=Math.floor(a/4)*4,_=a%4,E=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${C}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${i}, ${p});\n const ivec2 pads = ivec2(${d}, ${f});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${l};\n wR += ${u}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${k}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${E}\n }\n\n int xC = xCCorner + ${k};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${E}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${E}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${E}\n }\n }\n setOutput(${w});\n }\n `}},Wi=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=[\"x\"],t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");let a=e.filterWidth,i=e.strideDepth,p=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,l=e.dilationHeight,m=e.dilationWidth,d=e.effectiveFilterDepth,f=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let C=t===\"avg\",w=\"0.0\";if(C||(w=\"-1.0 / 1e-20\"),o){let D=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${p}, ${u});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${f};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${D} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${n?s?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${f} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let k=\"max\",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"avg\"&&(_=\"avgValue / max(count, 1.0)\");let E=Math.floor(a/4)*4,A=a%4,R=`\n if (${C}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${k}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${p}, ${u});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${w};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${w});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${f};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${E}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${R}\n }\n\n int xC = xCCorner + ${E};\n if (${A===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${R}\n } else if (${A===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${R}\n } else if (${A===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${R}\n }\n }\n }\n setOutput(${_});\n }\n `}};function RY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;us(n,\"avgPool\");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(S.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return At({inputs:{x:n},backend:t});let l=new cs(c,\"avg\",!1);return t.runWebGLProgram(l,[n],\"float32\")}var SA={kernelName:Vo,backendName:\"webgl\",kernelFunc:RY};function DY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=[1,1,1],l=S.computePool3DInfo(n.shape,s,a,c,i,p,u),m=new Wi(l,\"avg\",!1);return t.runWebGLProgram(m,[n],\"float32\")}var wA={kernelName:dp,backendName:\"webgl\",kernelFunc:DY};var uh=class{constructor(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=p-1-e.padInfo.top,l=u-1-e.padInfo.left,m=1/(t*o);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${l});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${p};\n wR += ${a}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${u};\n wC+= ${i}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},ph=class{constructor(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,m=e.effectiveFilterHeight,d=e.effectiveFilterWidth,f=l-1-e.padInfo.front,h=m-1-e.padInfo.top,g=d-1-e.padInfo.left,x=1/(t*o*n);this.userCode=`\n const ivec3 pads = ivec3(${f}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${l};\n wD += ${p}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${u}) {\n float dyR = float(dyRCorner + wR) / ${a}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${d};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function FY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=S.computePool3DInfo(a.shape,i,p,l,u,c),d=new ph(m);return t.runWebGLProgram(d,[n],a.dtype)}var IA={kernelName:vm,backendName:\"webgl\",kernelFunc:FY};function OY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;us([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=new uh(c);return t.runWebGLProgram(l,[n],a.dtype)}var vA={kernelName:mp,backendName:\"webgl\",kernelFunc:OY};function PY(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return zu({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var kA={kernelName:zo,backendName:\"webgl\",kernelFunc:PY};var ch=class{constructor(e,t,o,n,s,a){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,o);let i=\"0.0\";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");let p=\"1.0\";s!=null&&(S.assertAndGetBroadcastShape(e,s),this.variableNames.push(\"scale\"),p=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${i};\n float scale = ${p};\n float inv = scale * inversesqrt(variance + float(${a}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var lh=class{constructor(e,t,o,n,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,o);let i=\"vec4(0.0)\";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");let p=\"vec4(1.0)\";s!=null&&(S.assertAndGetBroadcastShape(e,s),this.variableNames.push(\"scale\"),p=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=`\n void main() {\n vec4 offset = ${i};\n vec4 scale = ${p};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${a}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var MY=({inputs:r,backend:e,attrs:t})=>{let{x:o,mean:n,variance:s,offset:a,scale:i}=r;y.assert(n.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(a==null||n.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(i==null||n.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:p}=t;p==null&&(p=.001);let u=[o,n,s],c=null;a!=null&&(c=a.shape,u.push(a));let l=null;i!=null&&(l=i.shape,u.push(i));let m=O().getBool(\"WEBGL_PACK_NORMALIZATION\")?new lh(o.shape,n.shape,s.shape,c,l,p):new ch(o.shape,n.shape,s.shape,c,l,p);return e.runWebGLProgram(m,u,u[0].dtype)},NA={kernelName:sn,backendName:\"webgl\",kernelFunc:MY};var mh=class{constructor(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;let t=$e(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let o=LY(this.rank),n,s=e.map((a,i)=>`sourceLoc.${Lw[i]} = start[${i}] + coords.${Lw[i]};`);n=`\n ${t} sourceLoc;\n ${t} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${n}\n setOutput(getSource(${o}));\n }\n `}},Lw=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function LY(r){if(r===1)return\"sourceLoc\";if(r<=6)return Lw.slice(0,r).map(e=>\"sourceLoc.\"+e).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var dh=class{constructor(e){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let t=$e(this.rank),o=Et(\"coords\",this.rank),n=Et(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${n.slice(-2).join()})`,a=`getChannel(getSource(${n.join()}), ${s})`,i=`\n result.x = ${a};\n if (++${o[this.rank-1]} < ${e[this.rank-1]}) {\n ++${n[this.rank-1]};\n result.y = ${a};\n --${n[this.rank-1]};\n }\n `,p=this.rank===1?\"\":`\n --${o[this.rank-1]};\n if (++${o[this.rank-2]} < ${e[this.rank-2]}) {\n ++${n[this.rank-2]};\n result.z = ${a};\n if (++${o[this.rank-1]} < ${e[this.rank-1]}) {\n ++${n[this.rank-1]};\n result.w = ${a};\n }\n }\n `,u=this.rank<=4?`sourceLoc = coords +\n ${t}(${e.map((c,l)=>`start[${l}]`).join()});`:e.map((c,l)=>`${n[l]} = ${o[l]} + start[${l}];`).join(`\n`);this.userCode=`\n void main() {\n ${t} coords = getOutputCoords();\n ${t} sourceLoc;\n ${u}\n vec4 result = vec4(0.);\n ${i}\n ${p}\n setOutput(result);\n }\n `}};function BY(r,e,t,o){let n=o.texData.get(r.dataId),s=o.makeTensorInfo(t,r.dtype),a=o.texData.get(s.dataId);Object.assign(a,n),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=ut.computeFlatOffset(e,y.computeStrides(r.shape));n.slice&&(i+=n.slice.flatOffset),a.slice={flatOffset:i,origDataId:n.slice&&n.slice.origDataId||r.dataId};let p=o.dataRefCount.get(a.slice.origDataId)||1;return o.dataRefCount.set(a.slice.origDataId,p+1),s}function ls(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ut.parseSliceParams(n,s,a);if(ut.assertParamsValid(n,i,p),y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);if(t.shouldExecuteOnCPU([n])||n.dtype===\"string\"){let l=t.texData.get(n.dataId),m=xE(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}let{isPacked:u}=t.texData.get(n.dataId),c=ut.isSliceContinous(n.shape,i,p);if(u||!c){let l=O().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new dh(p):new mh(p),m=[i];return t.runWebGLProgram(l,[n],n.dtype,m)}return t.uploadToGPU(n.dataId),BY(n,i,p,t)}var TA={kernelName:Es,backendName:\"webgl\",kernelFunc:ls};var VY=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let i=s.reduce((b,C)=>b*C),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=[],f=re({inputs:{x:n},backend:t,attrs:{shape:p}}),h=yt({inputs:{x:f},backend:t,attrs:{perm:u}}),g=re({inputs:{x:h},backend:t,attrs:{shape:c}}),x=ls({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},_A={kernelName:bs,backendName:\"webgl\",kernelFunc:VY};function zY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.readSync(n.dataId),p=t.readSync(s.dataId),u=Kf(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var $A={kernelName:ti,backendName:\"webgl\",kernelFunc:zY};function WY(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.readSync(o.dataId),a=t.readSync(n.dataId),i=S.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],\"int32\",Int32Array.from(i))}var EA={kernelName:fp,backendName:\"webgl\",kernelFunc:WY};var UY=\"return float(a != b);\",Bw=tt({opSnippet:UY,cpuKernelImpl:uE,dtype:\"bool\"}),AA={kernelName:Nn,backendName:\"webgl\",kernelFunc:Bw};function Ka(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.real},backend:t})}var RA={kernelName:di,backendName:\"webgl\",kernelFunc:Ka};var GY=\"return float(int(x));\";function DA(r,e){let t=new Jt(r.shape,GY),o=e.runWebGLProgram(t,[r],\"int32\");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function Vw(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return At({inputs:{x:n},backend:t});let a=Br(n.shape),i=Vw({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),p=Ar({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),p}if(n.dtype===\"complex64\"){let a=Ka({inputs:{input:n},backend:t}),i=Vw({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=At({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.texData.get(n.dataId).values,[i,p,u]=W$(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s===\"int32\")return DA(n,t);if(s===\"bool\"){let a=t.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),p=Bw({inputs:{a:n,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var FA={kernelName:co,backendName:\"webgl\",kernelFunc:Vw};var OA=\"return ceil(x);\",HY=he({opSnippet:OA,packedOpSnippet:OA,cpuKernelImpl:U$}),PA={kernelName:Wo,backendName:\"webgl\",kernelFunc:HY};var fh=class{constructor(e){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=e,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var hh=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=e,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function KY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i;O().getBool(\"WEBGL_PACK_CLIP\")?i=new hh(n.shape):i=new fh(n.shape);let p=[[s],[a]];return t.runWebGLProgram(i,[n],n.dtype,p)}var MA={kernelName:lo,backendName:\"webgl\",kernelFunc:KY};var gh=class{constructor(e){this.variableNames=[\"real\",\"imag\"],this.outputShape=e,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function LA(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function qY(r){let{inputs:e,backend:t}=r,{x:o}=e,n=t.texData.get(o.dataId),s=new gh(o.shape),a=[LA(o,n.complexTensorInfos.real),LA(o,n.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var BA={kernelName:hp,backendName:\"webgl\",kernelFunc:qY};var xh=class{constructor(e){this.outputShape=[],this.outputShape=S.computeOutShape(e,1),this.variableNames=e.map((a,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a`T${g}`);let p=new Array(e.length-1);p[0]=e[0][t];for(let h=1;h= ${p[h-1]}) {\n return getChannel(\n getT${h}(${yh(i,u,g)}),\n vec2(${yh(c,u,g)}));\n }`}let d=p.length,f=p[p.length-1];m+=`\n return getChannel(\n getT${d}(${yh(i,u,f)}),\n vec2(${yh(c,u,f)}));`,this.userCode=`\n float getValue(${i.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${a}), 0., 0., 0.);\n\n ${a[n-1]} = ${a[n-1]} + 1;\n if (${a[n-1]} < ${o[n-1]}) {\n result.g = getValue(${a});\n }\n\n ${a[n-2]} = ${a[n-2]} + 1;\n if (${a[n-2]} < ${o[n-2]}) {\n result.a = getValue(${a});\n }\n\n ${a[n-1]} = ${a[n-1]} - 1;\n if (${a[n-2]} < ${o[n-2]} &&\n ${a[n-1]} < ${o[n-1]}) {\n result.b = getValue(${a});\n }\n setOutput(result);\n }\n `}};function yh(r,e,t){let o=r.indexOf(e);return r.map((s,a)=>a===o?`${s} - ${t}`:s).join()}function Wu(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.imag},backend:t})}var VA={kernelName:ci,backendName:\"webgl\",kernelFunc:Wu};function hc(r,e,t){let o=r[0].dtype;if(o===\"complex64\"){let d=r.map(b=>Ka({inputs:{input:b},backend:t})),f=r.map(b=>Wu({inputs:{input:b},backend:t})),h=hc(d,e,t),g=hc(f,e,t),x=Ar({inputs:{real:h,imag:g},backend:t});return d.forEach(b=>t.disposeIntermediateTensorInfo(b)),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),x}let n=t.shouldExecuteOnCPU(r);if(o===\"string\"&&(n=!0),n){let d=r.map(w=>{let _=[-1,y.sizeFromShape(w.shape.slice(e))];return re({inputs:{x:w},backend:t,attrs:{shape:_}})}),f=d.map(w=>({vals:t.readSync(w.dataId),shape:w.shape})),h=S.computeOutShape(d.map(w=>w.shape),1),g=d[0].shape[0]===1,x=G$(f,h,o,g),b=S.computeOutShape(r.map(w=>w.shape),e),C=t.makeTensorInfo(b,o,x);return d.forEach(w=>t.disposeIntermediateTensorInfo(w)),C}let s=r.filter(d=>y.sizeFromShape(d.shape)>0),a=O().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")&&s[0].shape.length>1;if(s.length===1){let d=a?new Jt(r[0].shape,Zs):new Er(r[0].shape,Zs);return t.runWebGLProgram(d,r,o)}let i=O().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(s.length>i){let d=[];for(let h=0;hf.shape),e);return t.runWebGLProgram(d,s,o)}let{tensors2D:p,outShape:u}=jY(s,e,t),c=new xh(p.map(d=>d.shape)),l=t.runWebGLProgram(c,p,o);p.forEach(d=>t.disposeIntermediateTensorInfo(d));let m=re({inputs:{x:l},attrs:{shape:u},backend:t});return t.disposeIntermediateTensorInfo(l),m}function jY(r,e,t){let o=S.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>re({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:o}}function zw(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?At({inputs:{x:p[0]},backend:t}):hc(p,s,t)}var zA={kernelName:Cs,backendName:\"webgl\",kernelFunc:zw};var gc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,p=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,l=e.dilationWidth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,C=g?3:1,w=\"\",k=\"\";o&&(n?w=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${o}\n }`:s?w=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${o}\n }`:w=`\n float activation(float x) {\n ${o}\n }\n `,k=\"result = activation(result);\");let _=t?\"result += getBiasAtOutCoords();\":\"\";t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${w}\n\n const ivec2 strides = ivec2(${p}, ${u});\n const ivec2 pads = ivec2(${a}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${C}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${d}; wC++) {\n int xC = xCCorner + wC * ${l};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${f}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${f}) *\n getW(wR, wC, ${f}, d2);\n } else {\n dotProd +=\n getX(batch, ${f}, xR, xC) *\n getW(wR, wC, ${f}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${f}, d2),\n getW(wR, wC, ${f} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${f}),\n getX(batch, xR, xC, ${f} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${f}, xR, xC),\n getX(batch, ${f} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${f}, d2),\n getW(wR, wC, ${f} + 1, d2),\n getW(wR, wC, ${f} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${f}),\n getX(batch, xR, xC, ${f} + 1),\n getX(batch, xR, xC, ${f} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${f}, xR, xC),\n getX(batch, ${f} + 1, xR, xC),\n getX(batch, ${f} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${k}\n setOutput(result);\n }\n `}},Ch=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let t=e.padInfo.front,o=e.padInfo.top,n=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${a}, ${i});\n const ivec3 pads = ivec3(${t}, ${o}, ${n});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${l}; wF++) {\n int xF = xFCorner + wF * ${p};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${d}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${f}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${f}) *\n getW(wF, wR, wC, ${f}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${f}),\n getX(batch, xF, xR, xC, ${f} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${f}, d2),\n getW(wF, wR, wC, ${f} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${f}),\n getX(batch, xF, xR, xC, ${f} + 1),\n getX(batch, xF, xR, xC, ${f} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${f}, d2),\n getW(wF, wR, wC, ${f} + 1, d2),\n getW(wF, wR, wC, ${f} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var xc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.padInfo.left,i=e.strideWidth,p=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,l=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(l+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*p};\n `,i===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,p===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,p>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${i}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+l}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+l}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${u}\n\n ${n.output} = result;\n }\n `}};function wh(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Ih({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=r.shape,u=o.texData.get(r.dataId),c=t.inChannels,l=p[0]*p[1]*p[2],m=t.outChannels,d=t.dataFormat===\"channelsLast\",f=!1,h=!1,g,x=[];if(s!=null){let w=wh(s.shape,d);w!=null&&(s=re({inputs:{x:s},backend:o,attrs:{shape:w}}),x.push(s))}if(n!=null){let w=wh(n.shape,d);w!=null&&(n=re({inputs:{x:n},backend:o,attrs:{shape:w}}),x.push(n))}if(!((l===1||m===1)&&c>Mw)&&u.isPacked&&d&&u.texture!=null&&p[2]%2!==0&&y.arraysEqual(u.shape.slice(-3),p.slice(-3))){let w=p[0]*p[1]*(p[2]+1),k={dataId:r.dataId,shape:[1,w,t.inChannels],dtype:r.dtype},_=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(Bi(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let E=re({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(E);let A=zu({a:k,b:E,backend:o,transposeA:f,transposeB:h,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),R=o.texData.get(A.dataId);y.assert(R.isPacked,()=>\"batchMatMul result is expected to be packed\"),u.shape=_,R.shape=t.outShape,g=At({inputs:{x:A},backend:o}),g.shape=t.outShape,x.push(A)}else{let w=t.outHeight*t.outWidth,k=re({inputs:{x:r},backend:o,attrs:{shape:d?[t.batchSize,w,t.inChannels]:[t.batchSize,t.inChannels,w]}}),_=re({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}}),E=zu({a:d?k:_,b:d?_:k,transposeA:!d,transposeB:h,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=re({inputs:{x:E},backend:o,attrs:{shape:t.outShape}}),x.push(k),x.push(_),x.push(E)}for(let w of x)o.disposeIntermediateTensorInfo(w);return g}function vh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,outWidth:l,outHeight:m,dataFormat:d}=t,f=d===\"channelsLast\",h=p*u*c,g=m*l,x=[t.batchSize,h,g],b=!0,C=!1,w=[];if(s!=null){let H=wh(s.shape,f);H!=null&&(s=re({inputs:{x:s},backend:o,attrs:{shape:H}}),w.push(s))}if(n!=null){let H=wh(n.shape,f);H!=null&&(n=re({inputs:{x:n},backend:o,attrs:{shape:H}}),w.push(n))}let k=re({inputs:{x:e},backend:o,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});w.push(k);let _=new Sh(x,t),E=[r.shape,[t.padInfo.top,t.padInfo.left],[t.strideHeight,t.strideWidth],[t.dilationHeight,t.dilationWidth],[t.inChannels],[t.filterWidth*t.inChannels],[t.outWidth]],A=o.runWebGLProgram(_,[r],\"float32\",E),R=re({inputs:{x:A},backend:o,attrs:{shape:x}});w.push(A),w.push(R);let D=n!=null,P=s!=null,M=i===\"leakyrelu\",L=i?Ha(i,!0):null,V=new fc(f?R.shape:k.shape,f?k.shape:R.shape,f?[t.batchSize,g,t.outChannels]:[t.batchSize,t.outChannels,g],b,C,D,L,P,M),z=f?[R,k]:[k,R];if(n&&z.push(n),P&&z.push(s),M){let H=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));z.push(H),w.push(H)}let U=o.runWebGLProgram(V,z,\"float32\"),K=re({inputs:{x:U},backend:o,attrs:{shape:t.outShape}});w.push(U);for(let H of w)o.disposeIntermediateTensorInfo(H);return K}function XY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))d=Ih({x:n,filter:s,convInfo:m,backend:t});else if(m.strideWidth<=2&&l===\"channelsLast\"&&O().getBool(\"WEBGL_EXP_CONV\")){let h=new xc(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];d=t.runWebGLProgram(h,[n,s],\"float32\",g)}else if(O().getBool(\"WEBGL_CONV_IM2COL\"))d=vh({x:n,filter:s,convInfo:m,backend:t});else{let h=new gc(m);d=t.runWebGLProgram(h,[n,s],\"float32\")}let f=re({inputs:{x:d},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(d),f}var WA={kernelName:Uo,backendName:\"webgl\",kernelFunc:XY};var kh=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${n};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${s};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n if (${a}) {\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n } else {\n float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},Nh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dataFormat===\"channelsLast\",i=t-1-e.padInfo.top,p=o-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${p});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${l}];\n\n ivec2 dyCorner = ivec2(coords[${u}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n\n if (${a}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},Th=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yF = 0; yF < ${e.outDepth}; yF++) {\n int xF = wF + yF * ${t} - ${s};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${o} - ${a};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${i};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},_h=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=t-1-e.padInfo.front,u=o-1-e.padInfo.top,c=n-1-e.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${u}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${t}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${t} - 1 - wF;\n\n for (int wR = 0; wR < ${o}; wR++) {\n float dyR = float(dyRCorner + wR) / ${a}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${o} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function YY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new kh(m);return t.runWebGLProgram(d,[n,s],\"float32\")}var UA={kernelName:oi,backendName:\"webgl\",kernelFunc:YY};function QY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=new Nh(m);return t.runWebGLProgram(d,[n,s],\"float32\")}var GA={kernelName:Go,backendName:\"webgl\",kernelFunc:QY};function ZY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeConv3DInfo(n.shape,s.shape,a,p,i),c=new Ch(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var HA={kernelName:gp,backendName:\"webgl\",kernelFunc:ZY};function JY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=S.computeConv3DInfo(n.shape,p,a,1,i),c=new Th(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var KA={kernelName:km,backendName:\"webgl\",kernelFunc:JY};function eQ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{pad:a,strides:i,inputShape:p}=o,u=S.computeConv3DInfo(p,s.shape,i,1,a),c=new _h(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var qA={kernelName:xp,backendName:\"webgl\",kernelFunc:eQ};var tQ=$o+`\n return cos(x);\n`,rQ=he({opSnippet:tQ}),jA={kernelName:Ho,backendName:\"webgl\",kernelFunc:rQ};var oQ=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,nQ=he({opSnippet:oQ}),XA={kernelName:Ko,backendName:\"webgl\",kernelFunc:nQ};var $h=class{constructor(e,t,o,n,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[a,i,p,u]=e,[c]=t,[l,m]=o;this.outputShape=[c,l,m,u];let d=n===\"bilinear\"?1:0,[f,h]=[`${i-1}.0`,`${p-1}.0`],[g,x,b]=l>1?[`${(i-1)/(l-1)}`,\"(y2-y1) * height_ratio\",`y1*${f} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${f}`],[C,w,k]=m>1?[`${(p-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${C});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${a}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${w};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${f} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${k};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${d} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var sQ=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new $h(n.shape,s.shape,i,p,u);return t.runWebGLProgram(c,[n,s,a],\"float32\")},YA={kernelName:Xo,backendName:\"webgl\",kernelFunc:sQ};var Uu;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Uu||(Uu={}));var Rl=class{constructor(e,t,o,n){this.op=e,this.outputShape=t,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,a=this.op===Uu.Prod?\"1.0\":\"0.0\",i=o?a:`getX(${QA(s,\"coords\",this.op)})`,p=this.outputShape[this.outputShape.length-1],u=\"\",c=\"\";o?(u=n?`end != ${p-1}`:\"end != 0\",c=n?\"end + 1\":\"end - 1\"):(u=n?`end + pow2 < ${p}`:\"end >= pow2\",c=n?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${$e(s)} coords = getOutputCoords();\n int end = ${ZA(s,\"coords\",this.op)};\n float val = ${i};\n int pow2 = int(pow(2.0, index));\n if (${u}) {\n int idx = ${c};\n ${ZA(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${QA(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function QA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function ZA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Eh(r,e,t,o,n,s){let a=e.shape.length,i=S.getAxesPermutation([o],a),p=e;i!=null&&(p=yt({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=S.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=At({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new Rl(r,p.shape,!1,s),f=[[m]],h=l;l=t.runWebGLProgram(d,[l],l.dtype,f),t.disposeIntermediateTensorInfo(h)}if(n){let m=new Rl(r,p.shape,n,s),d=l;l=t.runWebGLProgram(m,[l],l.dtype),t.disposeIntermediateTensorInfo(d)}if(i!=null){let m=S.getUndoAxesPermutation(i),d=yt({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(p),d}return l}function aQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Eh(Uu.Prod,n,t,s,a,i)}var JA={kernelName:qo,backendName:\"webgl\",kernelFunc:aQ};function iQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Eh(Uu.Sum,n,t,s,a,i)}var eR={kernelName:jo,backendName:\"webgl\",kernelFunc:iQ};function uQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o;if(n.shape.length===1){let p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=Kf(p,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(n.shape.length===2){let p=t.bufferSync(n),u=t.bufferSync(s),c=z$(p,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`)}var tR={kernelName:ni,backendName:\"webgl\",kernelFunc:uQ};var Ah=class{constructor(e,t,o){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=o,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${t};\n int offset_h = imod(h, ${t});\n int in_w = w / ${t};\n int offset_w = imod(w, ${t});\n int offset_d = (offset_h * ${t} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function pQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=new Ah(f,s,a);return t.runWebGLProgram(h,[n],n.dtype)}var rR={kernelName:Yo,backendName:\"webgl\",kernelFunc:pQ};var yc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.filterHeight,i=e.filterWidth,p=e.outChannels/e.inChannels,u=\"\",c=\"\";o&&(n?u=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${o}\n }`:s?u=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${o}\n }`:u=`\n float activation(float x) {\n ${o}\n }\n `,c=\"result = activation(result);\");let l=t?\"result += getBiasAtOutCoords();\":\"\";t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${u}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${p};\n int q = d2 - d1 * ${p};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${a}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${i}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${l}\n ${c}\n setOutput(result);\n }\n `}};var bc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.outChannels/e.inChannels,i=e.padInfo.left,p=e.strideWidth,u=e.dilationWidth,c=e.filterHeight,l=e.filterWidth,m=l,d=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(d+=`\n xC = xCCorner + ${b*u};\n `,p===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,u===1&&b>0?d+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:d+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):d+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,u>1?d+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:d+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):C===1?d+=`\n xC${b+1} = xTexelC${b};\n `:d+=`\n xCOffset = xC + ${C};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(d+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let l=S.computeConv2DInfo(n.shape,s.shape,a,c,i,u,!0),m;O().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&l.strideWidth<=2&&l.outChannels/l.inChannels===1?m=new bc(l):m=new yc(l);let d=[[l.padInfo.top,l.padInfo.left],[l.strideHeight,l.strideWidth],[l.dilationHeight,l.dilationWidth],[l.inHeight,l.inWidth]];return t.runWebGLProgram(m,[n,s],\"float32\",d)}var oR={kernelName:Qo,backendName:\"webgl\",kernelFunc:cQ};var Rh=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${a} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${n};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${s};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},Dh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=o-1-e.padInfo.left,p=e.outChannels/e.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${p}; dm++) {\n int d2 = d1 * ${p} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function lQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=S.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new Rh(l);return t.runWebGLProgram(m,[n,s],\"float32\")}var nR={kernelName:yp,backendName:\"webgl\",kernelFunc:lQ};function mQ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=S.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new Dh(l);return t.runWebGLProgram(m,[n,s],\"float32\")}var sR={kernelName:bp,backendName:\"webgl\",kernelFunc:mQ};var Fh=class{constructor(e){this.variableNames=[\"X\"],this.outputShape=[e,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function dQ(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=re({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new Fh(s),p=t.runWebGLProgram(i,[a],a.dtype),u=re({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(p),u}var aR={kernelName:si,backendName:\"webgl\",kernelFunc:dQ};var Oh=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let{inHeight:t,inWidth:o,padInfo:n,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:p,dilationHeight:u,dilationWidth:c}=e,{top:l,left:m}=n;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${a});\n const ivec2 pads = ivec2(${l}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${i}; h++) {\n int hIn = hBeg + h * ${u};\n\n if (hIn >= 0 && hIn < ${t}) {\n for (int w = 0; w < ${p}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${o}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function fQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeDilation2DInfo(n.shape,s.shape,a,i,\"NHWC\",p),c,l=new Oh(u);c=t.runWebGLProgram(l,[n,s],\"float32\");let m=re({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var iR={kernelName:ai,backendName:\"webgl\",kernelFunc:fQ};function hQ(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=S.decodeEinsumEquation(n,s.length);S.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=S.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=Vu({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var uR={kernelName:ii,backendName:\"webgl\",kernelFunc:hQ};var gQ=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",xQ=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,yQ=he({opSnippet:gQ,packedOpSnippet:xQ}),pR={kernelName:Jo,backendName:\"webgl\",kernelFunc:yQ};var bQ=\"return (b >= 1.0) ? a : a * (b + 1.0);\",CQ=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,SQ=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=O().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new _o(CQ,o.shape,n.shape):new io(bQ,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],o.dtype)},cR={kernelName:Nm,backendName:\"webgl\",kernelFunc:SQ};var wQ=`\n return vec4(equal(a, b));\n`,IQ=\"return float(a == b);\",vQ=tt({opSnippet:IQ,packedOpSnippet:wQ,dtype:\"bool\",cpuKernelImpl:H$}),lR={kernelName:en,backendName:\"webgl\",kernelFunc:vQ};var kQ=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${S.ERF_P};\n float a1 = ${S.ERF_A1};\n float a2 = ${S.ERF_A2};\n float a3 = ${S.ERF_A3};\n float a4 = ${S.ERF_A4};\n float a5 = ${S.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,NQ=he({opSnippet:kQ}),mR={kernelName:da,backendName:\"webgl\",kernelFunc:NQ};var TQ=$o+`\n return exp(x);\n`,_Q=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Ww=he({opSnippet:TQ,packedOpSnippet:_Q,cpuKernelImpl:K$,dtype:\"float32\"}),dR={kernelName:tn,backendName:\"webgl\",kernelFunc:Ww};function Ph(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),re({inputs:{x:s},backend:o,attrs:{shape:i}})}var fR={kernelName:Ss,backendName:\"webgl\",kernelFunc:Ph};var hR=\"return exp(x) - 1.0;\",$Q=he({opSnippet:hR,packedOpSnippet:hR,cpuKernelImpl:q$}),gR={kernelName:fa,backendName:\"webgl\",kernelFunc:$Q};var Dl=class{constructor(e,t,o){this.variableNames=[\"real\",\"imag\"];let n=t[1];this.outputShape=t;let s=o?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=o?`${n}.0`:\"1.0\",i;if(e===\"real\")i=\"return real * expR - imag * expI;\";else if(e===\"imag\")i=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${e}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${i}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${n});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${n}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${a};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function Mh(r,e,t){let o=t.texData.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=re({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),p=i.shape,u=new Dl(\"real\",p,e),c=new Dl(\"imag\",p,e),l=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:p},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:p}],m=t.runWebGLProgram(u,l,\"float32\"),d=t.runWebGLProgram(c,l,\"float32\"),f=Ar({inputs:{real:m,imag:d},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d);let h=re({inputs:{x:f},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(f),h}function EQ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Mh(o,!1,t)}var xR={kernelName:ui,backendName:\"webgl\",kernelFunc:EQ};var Lh=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=e,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function qa(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s===\"string\"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Lh(o,n),i=[[n]];return e.runWebGLProgram(a,[],s,i)}}var yR={kernelName:ws,backendName:\"webgl\",kernelFunc:qa};var Bh=class{constructor(e){this.variableNames=[\"Image\"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${t} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${t}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var bR={kernelName:rn,backendName:\"webgl\",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new Bh(t.shape);return o.runWebGLProgram(n,[t],t.dtype)}};var CR=\"return floor(x);\",AQ=he({opSnippet:CR,packedOpSnippet:CR,cpuKernelImpl:j$}),SR={kernelName:on,backendName:\"webgl\",kernelFunc:AQ};var RQ=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,DQ=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,FQ=tt({opSnippet:RQ,packedOpSnippet:DQ,dtype:\"int32\"}),wR={kernelName:nn,backendName:\"webgl\",kernelFunc:FQ};var Vh=class{constructor(e){this.variableNames=[\"A\"];let t=wt(),[o,n]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${n}.0, ${o}.0);\n\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var zh=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let t=wt(),[o,n]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${n}.0, ${o}.0);\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${t.output} = result;\n }\n `}};var IR={kernelName:Zi,backendName:\"webgl\",kernelFunc:OQ},Cc,Uw=O().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function OQ(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o,a=typeof HTMLVideoElement!=\"undefined\"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!=\"undefined\"&&n instanceof HTMLImageElement,[p,u]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],c=[u,p],l=[u,p,s];if(i||a){let h=O().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Cc==null||h!==Uw)&&(Uw=h,Cc=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:Uw})),Cc.canvas.width=p,Cc.canvas.height=u,Cc.drawImage(n,0,0,p,u),n=Cc.canvas}let m=t.makeTensorInfo(c,\"int32\");t.texData.get(m.dataId).usage=ur.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(m.dataId),n);let d=O().getBool(\"WEBGL_PACK\")?new zh(l):new Vh(l),f=t.runWebGLProgram(d,[m],\"int32\");return t.disposeData(m.dataId),f}function PQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h),x,b=[],C=a!=null,w=i!=null,k=d===\"leakyrelu\",_=()=>{let A=[n,s],R=(D,P)=>{if(P===\"NCHW\"&&D.shape.length===1&&D.shape[0]!==1){let M=re({inputs:{x:D},backend:t,attrs:{shape:[D.shape[0],1,1]}});return b.push(M),M}return D};if(C&&A.push(R(a,c)),w&&A.push(R(i,c)),k){let D=t.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));A.push(D),b.push(D)}return A};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=Ih({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else if(g.strideWidth<=2&&h===\"channelsLast\"&&O().getBool(\"WEBGL_EXP_CONV\")){let A=d?Ha(d,!0):null,R=new xc(g,C,A,w,k),D=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],P=_();x=t.runWebGLProgram(R,P,\"float32\",D)}else if(O().getBool(\"WEBGL_CONV_IM2COL\"))x=vh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else{let A=d?Ha(d,!1):null,R=new gc(g,C,A,w,k),D=_();x=t.runWebGLProgram(R,D,\"float32\")}let E=re({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(A=>t.disposeIntermediateTensorInfo(A)),E}var vR={kernelName:go,backendName:\"webgl\",kernelFunc:PQ};function MQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(p,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`);let g=S.computeConv2DInfo(n.shape,s.shape,p,h,u,l,!0),x=O().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?Ha(m,x):null,C=[n,s],w=a!=null,k=i!=null,_=m===\"leakyrelu\";if(w&&C.push(a),k&&C.push(i),_){let D=t.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));C.push(D),f.push(D)}let E;x?E=new bc(g,w,b,k,_):E=new yc(g,w,b,k,_);let A=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],R=t.runWebGLProgram(E,C,\"float32\",A);return f.forEach(D=>t.disposeIntermediateTensorInfo(D)),R}var kR={kernelName:xo,backendName:\"webgl\",kernelFunc:MQ};var Wh=class{constructor(e,t,o,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=[\"x\",\"indices\"],this.outputShape=o;let s=$e(o.length),a=`\n int index;`;for(let i=0;i= ${this.paramsShape[i]};\n flattenIndex += index * ${this.strides[i]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${a}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function LQ(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=S.prepareAndValidate(o,n),m=re({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=re({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype===\"string\"){let x=t.readSync(n.dataId),b=t.bufferSync(o),C=X$(x,b,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,C.values)}let f=new Wh(a,l,[u,c],o.shape),h=t.runWebGLProgram(f,[d,m],d.dtype),g=re({inputs:{x:h},backend:t,attrs:{shape:p}});return t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(h),g}var NR={kernelName:an,backendName:\"webgl\",kernelFunc:LQ};var Uh=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.outputShape=t,this.rank=t.length;let o=$e(this.rank),n=BQ(e,2);this.userCode=`\n void main() {\n ${o} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${e[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${n}));\n }\n `}};function BQ(r,e){let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[];for(let n=0;n=0,()=>`GatherV2: the index value ${k} is not in [0, ${C-1}]`)}}let u=S.segment_util.collectGatherOpShapeInfo(n,s,p,i),c=y.sizeFromShape(s.shape),l=[],m=re({inputs:{x:n},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),d=re({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});l.push(m),l.push(d);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([n,s])||n.dtype===\"string\"){let b=t.bufferSync(d),C=t.bufferSync(m),w=Y$(C,b,f);return l.forEach(k=>t.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,w.dtype,w.values)}let h=new Uh(m.shape,f),g=t.runWebGLProgram(h,[m,d],m.dtype);l.push(g);let x=re({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var TR={kernelName:Is,backendName:\"webgl\",kernelFunc:Gw};var VQ=\"return float(a > b);\",zQ=`\n return vec4(greaterThan(a, b));\n`,WQ=tt({opSnippet:VQ,packedOpSnippet:zQ,cpuKernelImpl:Q$,dtype:\"bool\"}),_R={kernelName:un,backendName:\"webgl\",kernelFunc:WQ};var UQ=\"return float(a >= b);\",GQ=`\n return vec4(greaterThanEqual(a, b));\n`,HQ=tt({opSnippet:UQ,packedOpSnippet:GQ,dtype:\"bool\",cpuKernelImpl:Z$}),$R={kernelName:pn,backendName:\"webgl\",kernelFunc:HQ};function KQ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Mh(o,!0,t)}var ER={kernelName:pi,backendName:\"webgl\",kernelFunc:KQ};var qQ=\"return float(!isnan(x) && !isinf(x));\",jQ=he({opSnippet:qQ,dtype:\"bool\"}),AR={kernelName:ha,backendName:\"webgl\",kernelFunc:jQ};var XQ=\"return float(isinf(x));\",YQ=he({opSnippet:XQ,dtype:\"bool\"}),RR={kernelName:ga,backendName:\"webgl\",kernelFunc:YQ};var QQ=\"return float(isnan(x));\",ZQ=he({opSnippet:QQ,dtype:\"bool\"}),DR={kernelName:cn,backendName:\"webgl\",kernelFunc:ZQ};var JQ=\"return float(a < b);\",e7=`\n return vec4(lessThan(a, b));\n`,t7=tt({opSnippet:JQ,packedOpSnippet:e7,cpuKernelImpl:J$,dtype:\"bool\"}),FR={kernelName:mn,backendName:\"webgl\",kernelFunc:t7};var r7=\"return float(a <= b);\",o7=`\n return vec4(lessThanEqual(a, b));\n`,n7=tt({opSnippet:r7,packedOpSnippet:o7,cpuKernelImpl:eE,dtype:\"bool\"}),OR={kernelName:dn,backendName:\"webgl\",kernelFunc:n7};function s7(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=tE(o,n,s);return e.makeTensorInfo([a.length],\"float32\",a)}var PR={kernelName:li,backendName:\"webgl\",kernelFunc:s7};var a7=$o+`\n return x < 0.0 ? 0./0. : log(x);\n`,i7=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,u7=he({opSnippet:a7,packedOpSnippet:i7,cpuKernelImpl:rE}),MR={kernelName:fn,backendName:\"webgl\",kernelFunc:u7};var p7=$o+`\n return log(1.0 + x);\n`,c7=he({opSnippet:p7}),LR={kernelName:xa,backendName:\"webgl\",kernelFunc:c7};var l7=\"return float(a >= 1.0 && b >= 1.0);\",m7=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,d7=tt({opSnippet:l7,packedOpSnippet:m7,dtype:\"bool\"}),BR={kernelName:hn,backendName:\"webgl\",kernelFunc:d7};var f7=\"return float(!(x >= 1.0));\",h7=he({opSnippet:f7}),VR={kernelName:gn,backendName:\"webgl\",kernelFunc:h7};var g7=\"return float(a >= 1.0 || b >= 1.0);\",x7=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,y7=tt({opSnippet:g7,packedOpSnippet:x7,dtype:\"bool\"}),zR={kernelName:xn,backendName:\"webgl\",kernelFunc:y7};var Gh=class{constructor(e,t,o,n,s){this.variableNames=[\"x\"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${a}; j <= ${a}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${i}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${p};\n setOutput(val);\n }\n `}};var Hh=class{constructor(e,t,o,n,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${a};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${a}; j <= ${a}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${p};\n setOutput(result);\n }\n `}};var b7=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u=O().getBool(\"WEBGL_PACK_NORMALIZATION\")?new Hh(n.shape,s,a,i,p):new Gh(n.shape,s,a,i,p);return t.runWebGLProgram(u,[n],n.dtype)},WR={kernelName:mi,backendName:\"webgl\",kernelFunc:b7};var Kh=class{constructor(e,t,o,n,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=o,this.alpha=n,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${t})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${t} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${n}) * norm + float(${o});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${n})\n * float(${s})\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var C7=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new Kh(n.shape,i,p,u,c);return t.runWebGLProgram(l,[n,s,a],n.dtype)},UR={kernelName:Tm,backendName:\"webgl\",kernelFunc:C7};function GR(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=re({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=Ur(i,r.dtype,\"max\",o),u=re({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}function Hw(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=c!=null,m=t.shouldExecuteOnCPU([n]),d=n;if(l){if(m){let C=t.texData.get(d.dataId).values,w=new Array(i);for(let E=0;E`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return At({inputs:{x:n},backend:t});let l=new cs(c,\"max\",!1);return t.runWebGLProgram(l,[n],n.dtype)}var qR={kernelName:Cn,backendName:\"webgl\",kernelFunc:v7};function k7(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=S.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new Wi(l,\"max\",!1);return t.runWebGLProgram(m,[n],n.dtype)}var jR={kernelName:Cp,backendName:\"webgl\",kernelFunc:k7};var qh=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;let t=e.strideHeight,o=e.strideWidth,n=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,p=a-1-e.padInfo.left,u=s*a-1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${p});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${n}) {\n float dyR = float(dyRCorner + wR) / ${t}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${a}; wC++) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${u} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${a} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},jh=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=p-1-e.padInfo.front,m=u-1-e.padInfo.top,d=c-1-e.padInfo.left,f=p*u*c-1;this.userCode=`\n const ivec3 pads = ivec3(${l}, ${m}, ${d});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${t}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${u};\n wR += ${a}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${i}) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${f} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${u} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function N7(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=S.computePool3DInfo(a.shape,i,p,l,u,c),d=new Wi(m,\"max\",!0),f=t.runWebGLProgram(d,[a],a.dtype),h=new jh(m),g=t.runWebGLProgram(h,[n,f],a.dtype);return t.disposeIntermediateTensorInfo(f),g}var XR={kernelName:$m,backendName:\"webgl\",kernelFunc:N7};function T7(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;us([s,a],\"maxPoolGrad\");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=S.computePool2DInfo(i.shape,p,u,1,c,l),d=!0,f=new cs(m,\"max\",d),h=t.runWebGLProgram(f,[i],i.dtype),g=new qh(m),x=t.runWebGLProgram(g,[n,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var YR={kernelName:_m,backendName:\"webgl\",kernelFunc:T7};function QR(r,e,t,o){let n=new cs(t,\"max\",!1),s=o.runWebGLProgram(n,[r],\"float32\");n=new cs(t,\"max\",!0,!0,e);let a=o.runWebGLProgram(n,[r],\"float32\");return[s,a]}var ZR={kernelName:Sp,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;y.assert(o.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.shape.length}.`);let u=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=S.computePool2DInfo(o.shape,n,s,u,a),[l,m]=QR(o,i,c,p);return[l,m]}};function JR(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=re({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=Ur(i,\"float32\",\"mean\",o),u=re({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}var eD={kernelName:Sn,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{keepDims:n,axis:s}=e,a=t,i=o.shape.length,p=y.parseAxisParam(s,o.shape),u=p,c=S.getAxesPermutation(u,i),l=c!=null,m=a.shouldExecuteOnCPU([o]),d=[],f=o;if(l){if(m){let w=a.texData.get(f.dataId).values,k=new Array(i);for(let A=0;Ac[0]+e[l]+c[1]);let n=e.length,s=$e(n),a=t.map(c=>c[0]).join(\",\"),i=t.map((c,l)=>c[0]+e[l]).join(\",\"),p=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n),u=o===\"reflect\"?0:1;if(n===1){this.userCode=`\n int start = ${a};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${u};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${u};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${a});\n ${s} end = ${s}(${i});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${n}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${u};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${u};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${p}));\n }\n `}};var Yh=class{constructor(e,t,o){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,h)=>f[0]+e[h]+f[1]);let n=e.length,s=$e(n),a=t.map(f=>f[0]).join(\",\"),i=t.map((f,h)=>f[0]+e[h]).join(\",\"),p=Et(\"rc\",n),u=Et(\"source\",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?\"source\":`vec2(${u.slice(-2).join()})`,m=o===\"reflect\"?0:1,d=\"\";if(n===1){let f=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;d=`\n ${s} rc = outputLoc;\n ${f}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n `}else{let f=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;d=`\n ${s} rc = outputLoc;\n ${f}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n rc = outputLoc;\n ${p[n-2]} += 1;\n if(${p[n-2]} < ${this.outputShape[n-2]}) {\n ${f}\n result[2] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[3] = getChannel(getX(${u.join()}), ${l});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${a});\n const ${s} end = ${s}(${i});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${d}\n setOutput(result);\n }\n `}};var R7=({inputs:r,backend:e,attrs:t})=>{let{x:o}=r,{paddings:n,mode:s}=t,a=O().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new Yh(o.shape,n,s):new Xh(o.shape,n,s);return e.runWebGLProgram(a,[o],o.dtype)},oD={kernelName:vn,backendName:\"webgl\",kernelFunc:R7};var D7=`if (b == 0.0) return NAN;\n return mod(a, b);`,F7=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+Js+`\n return result;\n`,O7=tt({opSnippet:D7,packedOpSnippet:F7}),nD={kernelName:ya,backendName:\"webgl\",kernelFunc:O7};var Qh=class{constructor(e,t,o){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[e,o],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${t-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${t-1}));\n }\n `}};var P7=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,M7=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,Kw=tt({opSnippet:P7,packedOpSnippet:M7,checkOutOfBounds:!0}),sD={kernelName:Zo,backendName:\"webgl\",kernelFunc:Kw};var aD=\"return a - b;\",qw=tt({opSnippet:aD,packedOpSnippet:aD,supportsComplex:!0,cpuKernelImpl:kE}),iD={kernelName:Yn,backendName:\"webgl\",kernelFunc:qw};function jw(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=y.parseAxisParam([s],n.shape),i=Hw({inputs:{x:n},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),p=S.expandShapeToKeepDim(i.shape,a),u=re({inputs:{x:i},backend:t,attrs:{shape:p}}),c=qw({inputs:{a:n,b:u},backend:t}),l=Ww({inputs:{x:c},backend:t}),m=Vu({inputs:{x:l},backend:t,attrs:{axis:a,keepDims:!1}}),d=re({inputs:{x:m},backend:t,attrs:{shape:p}}),f=Kw({inputs:{a:l,b:d},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),f}var uD={kernelName:qn,backendName:\"webgl\",kernelFunc:jw};function L7(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:jw({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new Qh(u,c,s),m=[[a]],d=t.runWebGLProgram(l,[p],\"int32\",m);return i||t.disposeIntermediateTensorInfo(p),d}var pD={kernelName:wp,backendName:\"webgl\",kernelFunc:L7};var B7=zt+`\n return -x;\n`,V7=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function z7(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.texData.get(o.dataId),[a,i]=iE(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n;return O().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?n=new Er(o.shape,V7):n=new Jt(o.shape,B7),t.runWebGLProgram(n,[o],o.dtype)}var cD={kernelName:vs,backendName:\"webgl\",kernelFunc:z7};var W7=Vt.nonMaxSuppressionV3Impl;function U7(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=W7(u,c,a,i,p);return t.makeTensorInfo([l.length],\"int32\",new Int32Array(l))}var lD={kernelName:Tn,backendName:\"webgl\",kernelFunc:U7};var G7=Vt.nonMaxSuppressionV4Impl;function H7(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,padToMaxOutputSize:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),{selectedIndices:m,validOutputs:d}=G7(c,l,a,i,p,u);return[t.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),t.makeTensorInfo([],\"int32\",new Int32Array([d]))]}var mD={kernelName:ba,backendName:\"webgl\",kernelFunc:H7};var K7=Vt.nonMaxSuppressionV5Impl;function q7(r){S.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=K7(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),t.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var dD={kernelName:_n,backendName:\"webgl\",kernelFunc:q7};var Zh=class{constructor(e,t,o,n){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${n}), float(${o}),\n float(index == coords.y)));\n }\n `}};var j7=r=>{let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new Zh(u,a,i,p),l=re({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=t.runWebGLProgram(c,[l],s);t.disposeIntermediateTensorInfo(l);let d=[...n.shape,a],f=re({inputs:{x:m},backend:t,attrs:{shape:d}});return t.disposeIntermediateTensorInfo(m),f},fD={kernelName:$n,backendName:\"webgl\",kernelFunc:j7};function Fl(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"complex64\"){let n=Ka({inputs:{input:o},backend:t}),s=Fl({inputs:{x:n},backend:t}),a=Wu({inputs:{input:o},backend:t}),i=Fl({inputs:{x:a},backend:t}),p=Ar({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return qa({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype===\"string\"?\"\":0},backend:t})}var hD={kernelName:Os,backendName:\"webgl\",kernelFunc:Fl};function gD(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(o.dtype===\"complex64\"){let n=Ka({inputs:{input:o},backend:t}),s=gD({inputs:{x:n},backend:t}),a=Wu({inputs:{input:o},backend:t}),i=Fl({inputs:{x:a},backend:t}),p=Ar({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return qa({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var xD={kernelName:ks,backendName:\"webgl\",kernelFunc:gD};function X7(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Ph({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=Ph({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=zw({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var yD={kernelName:Ns,backendName:\"webgl\",kernelFunc:X7};var Jh=class{constructor(e,t,o){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let n=e.length,s=$e(n),a=t.map(u=>u[0]).join(\",\"),i=t.map((u,c)=>u[0]+e[c]).join(\",\"),p=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n);if(n===1){this.userCode=`\n int start = ${a};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${a});\n ${s} end = ${s}(${i});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${p}));\n }\n }\n `}};var eg=class{constructor(e,t,o){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let n=e.length,s=$e(n),a=t.map(h=>h[0]).join(\",\"),i=t.map((h,g)=>h[0]+e[g]).join(\",\"),p=Et(\"rc\",n),u=Et(\"source\",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?\"source\":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${p[n-1]} += 1;\n if(${c}) {\n `,n===1?\"\":`}\n rc = outputLoc;\n ${p[n-2]} += 1;\n if(${p[n-2]} < ${this.outputShape[n-2]}) {`,n===1?\"\":` ${p[n-1]} += 1;\n if(${c}) {`],d=n===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",f=\"\";for(let h=0,g=n===1?2:4;h{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return qa({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=O().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new eg(n.shape,s,a):new Jh(n.shape,s,a),p=[[a]];return t.runWebGLProgram(i,[n],n.dtype,p)},bD={kernelName:En,backendName:\"webgl\",kernelFunc:Xw};var Y7=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,Q7=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+Js+`\n return result;\n`,Z7=tt({opSnippet:Y7,packedOpSnippet:Q7}),CD={kernelName:An,backendName:\"webgl\",kernelFunc:Z7};function J7(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=[],u=y.parseAxisParam(s,n.shape),c=u,l=S.getAxesPermutation(c,i),m=n;l!=null&&(m=yt({inputs:{x:n},backend:t,attrs:{perm:l}}),c=S.getInnerMostAxes(c.length,i),p.push(m)),S.assertAxesAreInnerMostDims(\"prod\",c,i);let d;if(t.shouldExecuteOnCPU([m])){let f=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=pE(m.shape,m.dtype,f,c);d=t.makeTensorInfo(g,x,h)}else{let[f,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=re({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=Ta(n.dtype),C=Ur(x,b,\"prod\",t);d=re({inputs:{x:C},backend:t,attrs:{shape:f}}),p.push(x),p.push(C)}if(a){p.push(d);let f=S.expandShapeToKeepDim(d.shape,u);d=re({inputs:{x:d},backend:t,attrs:{shape:f}})}return p.forEach(f=>t.disposeIntermediateTensorInfo(f)),d}var SD={kernelName:Dn,backendName:\"webgl\",kernelFunc:J7};function eZ(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.readSync(x.dataId)),u=n.map(x=>x.shape),c=t.readSync(s.dataId),l=t.readSync(a.dataId),[m,d,f]=cE(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],\"int32\",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var wD={kernelName:Ip,backendName:\"webgl\",kernelFunc:eZ};function tZ(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=lE(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],\"int32\",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var ID={kernelName:vp,backendName:\"webgl\",kernelFunc:tZ};function rZ(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),l=t.readSync(a.dataId),m=i.map(g=>t.readSync(g.dataId)),d=i.map(g=>g.shape),[f,h]=mE(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var vD={kernelName:kp,backendName:\"webgl\",kernelFunc:rZ};var Yw=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=dE(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},kD={kernelName:Ts,backendName:\"webgl\",kernelFunc:Yw};var oZ=\"return 1.0 / x;\",nZ=he({opSnippet:oZ}),ND={kernelName:Fn,backendName:\"webgl\",kernelFunc:nZ};var sZ=zt+`\n return (x < 0.0) ? 0.0 : x;\n`,aZ=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,iZ=he({opSnippet:sZ,packedOpSnippet:aZ}),TD={kernelName:On,backendName:\"webgl\",kernelFunc:iZ};var uZ=zt+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,pZ=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,cZ=he({opSnippet:uZ,packedOpSnippet:pZ}),_D={kernelName:Ln,backendName:\"webgl\",kernelFunc:cZ};var tg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/l[0]},\n ${c[1]/l[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${p}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var rg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/l[0]},\n ${c[1]/l[1]},\n ${c[1]/l[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${p}.0,\n ${p}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${u-1};\n bool hasNextRow = coords.z < ${o-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function lZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=O().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new rg(n.shape,p,u,s,a):new tg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],\"float32\")}var $D={kernelName:Mn,backendName:\"webgl\",kernelFunc:lZ};var og=class{constructor(e,t,o){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${f});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${a}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${n-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function mZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new og(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var ED={kernelName:Am,backendName:\"webgl\",kernelFunc:mZ};var ng=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?\"0.5\":\"0.0\",d;s?d=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":d=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/l[0]},\n ${c[1]/l[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${p}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${d};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var sg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?\"0.5\":\"0.0\",d;s?d=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":d=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/l[0]},\n ${c[1]/l[1]},\n ${c[1]/l[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${p}.0,\n ${p}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${d};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${u-1};\n bool hasNextRow = coords.z < ${o-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function dZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=O().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new sg(n.shape,p,u,s,a):new ng(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],n.dtype)}var AD={kernelName:Pn,backendName:\"webgl\",kernelFunc:dZ};var ag=class{constructor(e,t,o){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${f});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${a}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float sourceFracRow =\n float(${p[0]}) *\n (float(dyR) / float(${u[0]}));\n\n float sourceFracCol =\n float(${p[1]}) *\n (float(dyC) / float(${u[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${n}) - 1),\n ${o} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${o} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function fZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new ag(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var RD={kernelName:Em,backendName:\"webgl\",kernelFunc:fZ};var ig=class{constructor(e,t){this.variableNames=[\"x\"];let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);if(this.outputShape=e,o===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${e[0]} - coord - 1));\n }\n `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,p)=>n(p)).join(\",\"),a=$e(o);this.userCode=`\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var ug=class{constructor(e,t){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);this.outputShape=e;let n=Et(\"rc\",o),s=`${n[o-1]} + 1 < ${this.outputShape[o-1]}`,a=`${n[o-2]} + 1 < ${this.outputShape[o-2]}`,i=$e(o);o===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${e[0]} - rc - 1),\n ${e[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),\n ${e[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${i} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${p(n.slice())};\n if(${s}){\n result.g = ${u(n.slice())};\n }\n if(${a}) {\n result.b = ${c(n.slice())};\n if(${s}) {\n result.a = ${l(n.slice())};\n }\n }\n setOutput(result);\n }\n `;function p(f){return m(f)}function u(f){return f[o-1]=\"(\"+f[o-1]+\" + 1)\",m(f)}function c(f){return f[o-2]=\"(\"+f[o-2]+\" + 1)\",m(f)}function l(f){return f[o-1]=\"(\"+f[o-1]+\" + 1)\",f[o-2]=\"(\"+f[o-2]+\" + 1)\",m(f)}function m(f){let h=e.map((b,C)=>d(C,f)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function d(f,h){return t.indexOf(f)!==-1&&e[f]!==1?`${e[f]} - ${h[f]} - 1`:`${h[f]}`}}};function hZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return At({inputs:{x:n},backend:t});let p=O().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new ug(n.shape,i):new ig(n.shape,i);return t.runWebGLProgram(p,[n],n.dtype)}var DD={kernelName:Bn,backendName:\"webgl\",kernelFunc:hZ};var pg=class{constructor(e,t){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let o=e[1],n=e[2];this.outputShape=e;let s=\"\";typeof t==\"number\"?s=`float outputValue = ${t.toFixed(2)};`:s=`\n vec3 fill = vec3(${t.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${n} && coordY >= 0 && coordY < ${o}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var FD={kernelName:ts,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new pg(o.shape,s),[u,c]=S.getImageCenter(a,o.shape[1],o.shape[2]),l=[[u,c,Math.sin(n),Math.cos(n)]];return i.runWebGLProgram(p,[o],o.dtype,l)}};var gZ=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,xZ=he({opSnippet:gZ}),OD={kernelName:Vn,backendName:\"webgl\",kernelFunc:xZ};var yZ=\"return inversesqrt(x);\",bZ=he({opSnippet:yZ,cpuKernelImpl:fE}),PD={kernelName:zn,backendName:\"webgl\",kernelFunc:bZ};var Sc=class{constructor(e,t,o,n,s,a,i=!0){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=a;let p=$e(s.length),u=$e(a.length),c=\"\";o===1?c=\"i\":o===2&&(c=\"i, j\");let l=`getIndices(${c})`,m=\"\";n===1?m=\"i\":n===2&&(m=\"i, coords[1]\");let d=`getUpdates(${m})`,f=t>1?\"strides[j]\":\"strides\";this.userCode=`\n ${p} strides = ${p}(${s});\n\n void main() {\n ${u} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${e}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${t}; j++) {\n int index = round(${l});\n flattenedIndex += index * ${f};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${d};\n found = true;\n }\n }\n setOutput(mix(getDefaultValue(), sum, float(found)));\n }\n `}};function CZ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=re({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=re({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=t.makeTensorInfo([],\"float32\",new Float32Array([0])),g=new Sc(p,i,d.shape.length,f.shape.length,c,m),x=t.runWebGLProgram(g,[f,d,h],f.dtype),b=re({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var MD={kernelName:Wn,backendName:\"webgl\",kernelFunc:CZ};var cg=class{constructor(e,t,o,n){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[e,o];let s=\"while (left < right) {\",a=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=O().getNumber(\"WEBGL_VERSION\")===2?s:a,p=n===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${i}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${p} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function SZ(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new cg(n.shape[0],n.shape[1],s.shape[1],a),p=[[n.shape[1]]];return t.runWebGLProgram(i,[n,s],\"int32\",p)}var LD={kernelName:fi,backendName:\"webgl\",kernelFunc:SZ};var lg=class{constructor(e,t,o){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t;let n,s;if(o>4)throw Error(`Where for rank ${o} is not yet supported`);if(o===1)s=\"resRC\",n=\"resRC\";else{let i=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],p=[],u=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function wZ(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=new lg(o.shape.length,n.shape,n.shape.length);return t.runWebGLProgram(a,[o,n,s],dt(n.dtype,s.dtype))}var BD={kernelName:$s,backendName:\"webgl\",kernelFunc:wZ};var IZ=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${S.SELU_SCALEALPHA};\n float scale = ${S.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,vZ=he({opSnippet:IZ}),VD={kernelName:Ca,backendName:\"webgl\",kernelFunc:vZ};var kZ=$o+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,NZ=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,TZ=he({opSnippet:kZ,packedOpSnippet:NZ,cpuKernelImpl:gE}),zD={kernelName:Gn,backendName:\"webgl\",kernelFunc:TZ};var _Z=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,$Z=he({opSnippet:_Z}),WD={kernelName:wa,backendName:\"webgl\",kernelFunc:$Z};var EZ=$o+`\n return sin(x);\n`,AZ=he({opSnippet:EZ}),UD={kernelName:Un,backendName:\"webgl\",kernelFunc:AZ};var RZ=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,DZ=he({opSnippet:RZ}),GD={kernelName:Sa,backendName:\"webgl\",kernelFunc:DZ};var FZ=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,OZ=he({opSnippet:FZ}),HD={kernelName:Ia,backendName:\"webgl\",kernelFunc:OZ};var PZ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeIntermediateTensorInfo(x)),g},KD={kernelName:As,backendName:\"webgl\",kernelFunc:PZ};function MZ(r){let{inputs:e,backend:t}=r,{indices:o,values:n,denseShape:s,defaultValue:a}=e;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(o.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${o.shape}`);if(n.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${n.shape}`);if(a.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${a.shape}`);let i=t.readSync(o.dataId),p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=t.readSync(a.dataId)[0],[l,m,d,f,h]=yE(i,o.shape,o.dtype,p,n.dtype,u,c);return[t.makeTensorInfo(m,o.dtype,l),t.makeTensorInfo([m[0]],n.dtype,d),t.makeTensorInfo([f.length],\"bool\",new Uint8Array(f.map(g=>Number(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var qD={kernelName:hi,backendName:\"webgl\",kernelFunc:MZ};function LZ(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.readSync(n.dataId)),i=t.readSync(o.dataId),p=Array.from(t.readSync(s.dataId)),[u,c,l]=bE(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var jD={kernelName:va,backendName:\"webgl\",kernelFunc:LZ};function BZ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=jf(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var XD={kernelName:gi,backendName:\"webgl\",kernelFunc:BZ};function VZ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=jf(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var YD={kernelName:xi,backendName:\"webgl\",kernelFunc:VZ};function zZ(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1;if(s.dtype===\"string\"){let x=t.bufferSync(n),b=t.bufferSync(s),C=y.decodeString(t.readSync(a.dataId)[0]),w=hE(x,b,i,m,c,u,p,l,C,d);return t.makeTensorInfo(i,w.dtype,w.values)}let f=new Sc(u,p,n.shape.length,s.shape.length,l,[m,1],d),h=t.runWebGLProgram(f,[s,n,a],s.dtype),g=re({inputs:{x:h},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(h),g}var QD={kernelName:yi,backendName:\"webgl\",kernelFunc:zZ};function WZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=ls({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var ZD={kernelName:Rs,backendName:\"webgl\",kernelFunc:WZ};var JD=\"return sqrt(x);\",UZ=he({opSnippet:JD,packedOpSnippet:JD,cpuKernelImpl:CE}),eF={kernelName:Hn,backendName:\"webgl\",kernelFunc:UZ};var GZ=\"return x * x;\",HZ=he({opSnippet:GZ}),tF={kernelName:bi,backendName:\"webgl\",kernelFunc:HZ};var rF=\"return (a - b) * (a - b);\",KZ=tt({opSnippet:rF,packedOpSnippet:rF}),oF={kernelName:jn,backendName:\"webgl\",kernelFunc:KZ};function qZ({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=zt+`\n return x > 0.0 ? 1.0 : float(${e.alpha});\n `,s=new Jt(o.shape,n);return t.runWebGLProgram(s,[o],o.dtype)}var nF={kernelName:fo,backendName:\"webgl\",kernelFunc:qZ};var mg=class{constructor(e,t,o){this.variableNames=[\"x\"],this.outputShape=o;let n=o.length,s=$e(o.length),a=$e(o.length),i=\"\";if(n===1)i=\"coords * strides + begin\";else{let p=0;i=o.map((u,c)=>(p++,o.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${p-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${e});\n ${s} strides = ${s}(${t});\n\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${i}));\n }\n `}};function jZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=re({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let E=ut.computeOutShape(b,C,w),A=ls({inputs:{x:n},backend:t,attrs:{begin:b,size:E}});k=re({inputs:{x:A},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(A)}else if(t.shouldExecuteOnCPU([n])){let A=t.readSync(n.dataId),R=le(n.shape,n.dtype,A),D=SE(d,R,w,b);k=t.makeTensorInfo(f,n.dtype,D.values)}else{let A=new mg(b,w,d);k=t.runWebGLProgram(A,[n],n.dtype)}let _=re({inputs:{x:k},backend:t,attrs:{shape:f}});return t.disposeIntermediateTensorInfo(k),_}var sF={kernelName:Xn,backendName:\"webgl\",kernelFunc:jZ};function XZ(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=wE(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var aF={kernelName:Ds,backendName:\"webgl\",kernelFunc:XZ};function YZ(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.readSync(s.dataId),p=t.readSync(a.dataId)[0],[u,c,l]=IE(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],\"int32\",u),t.makeTensorInfo([m],\"string\",c),t.makeTensorInfo([2],\"int32\",new Int32Array(l))]}var iF={kernelName:Ci,backendName:\"webgl\",kernelFunc:YZ};function QZ(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(n<=0)throw new Error(\"Number of buckets must be at least 1\");let a=t.readSync(s.dataId),i=vE(a,n);return t.makeTensorInfo(s.shape,\"int32\",i)}var uF={kernelName:Si,backendName:\"webgl\",kernelFunc:QZ};var ZZ=\"return tan(x);\",JZ=he({opSnippet:ZZ}),pF={kernelName:Qn,backendName:\"webgl\",kernelFunc:JZ};var e9=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,t9=he({opSnippet:e9}),cF={kernelName:Zn,backendName:\"webgl\",kernelFunc:t9};var dg=class{constructor(e,t){this.variableNames=[\"A\"];let o=new Array(e.length);for(let a=0;a5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`imod(resRC, ${r[0]})`;let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],o=[];for(let n=0;n5){let p=t.readSync(n.dataId),u=n.dtype===\"string\"?p.map(m=>y.decodeString(m)):p,c=le(n.shape,n.dtype,u),l=NE(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new dg(n.shape,s);return t.runWebGLProgram(a,[n],n.dtype)}var lF={kernelName:to,backendName:\"webgl\",kernelFunc:Qw};var fg=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=e,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},hg=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=e,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function Gu(r,e){e!==null&&r.disposeIntermediateTensorInfo(e)}function mF(r){let e=1;for(;ep){let D=t.readSync(n.dataId),[P,M]=TE(D,u,n.dtype,s,a);return[t.makeTensorInfo(P.shape,P.dtype,P.values),t.makeTensorInfo(M.shape,M.dtype,M.values)]}if(s===0)return u[u.length-1]=0,[t.makeTensorInfo(u,n.dtype,[]),t.makeTensorInfo(u,\"int32\",[])];if(c===1)return[n,qa({attrs:{shape:u,dtype:\"int32\",value:0},backend:t})];let l=t.texData.get(n.dataId),m=l!==null&&l.isPacked,d=m?t.unpackTensor(n):n,h=y.sizeFromShape(u)/c,g=re({inputs:{x:d},attrs:{shape:[h,c]},backend:t});m&&Gu(t,d);let x=mF(s),b=mF(c),C=null,w=()=>C===null?[g,g]:[g,C],k=(D,P,M)=>{let L=w(),V=new fg(M),U=[[c],[C===null?1:0],[Number.NEGATIVE_INFINITY],[D],[P]],K=C;C=t.runWebGLProgram(V,L,\"int32\",U),Gu(t,K)};for(let D=1;D=1;M/=2)k(P,M,[h,b])}for(let D=b;D>x;D/=2){let P=w(),M=new hg([h,D/2]),V=[[c],[C===null?1:0],[x]],z=C;C=t.runWebGLProgram(M,P,\"int32\",V),Gu(t,z);let U=x/2,K=U*2;for(let H=U;H>=1;H/=2)k(K,H,C.shape)}let _=C;C=ls({inputs:{x:C},backend:t,attrs:{begin:0,size:[h,s]}}),Gu(t,_);let E=Gw({inputs:{x:g,indices:C},backend:t,attrs:{axis:1,batchDims:1}});Gu(t,g);let A=u.slice(0,-1);A.push(s),_=C,C=re({inputs:{x:C},attrs:{shape:A},backend:t}),Gu(t,_);let R=E;return E=re({inputs:{x:E},attrs:{shape:A},backend:t}),Gu(t,R),[E,C]}var dF={kernelName:Jn,backendName:\"webgl\",kernelFunc:o9};var gg=class{constructor(e,t,o,n,s,a){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=a;let i=o===\"nearest\"?1:2,p;switch(n){case\"constant\":p=1;break;case\"reflect\":p=2;break;case\"wrap\":p=3;break;case\"nearest\":p=4;break;default:p=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${p} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${p} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${p} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${e} && 0 <= coordX && coordX < ${t}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${t}));\n float mapY = mapCoord(inY, float(${e}));\n\n if (${i} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function n9(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new gg(l,m,a,i,p,g);return t.runWebGLProgram(x,[n,s],\"float32\")}var fF={kernelName:es,backendName:\"webgl\",kernelFunc:n9};function s9(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e;us(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let a=o.readSync(s.dataId),{outputValues:i,outputShape:p,indices:u}=_E(a,n,s.shape,s.dtype);return[o.makeTensorInfo(p,s.dtype,i),o.makeTensorInfo([u.length],\"int32\",u)]}var hF={kernelName:Np,backendName:\"webgl\",kernelFunc:s9};function a9(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeIntermediateTensorInfo(h)),f}var gF={kernelName:Fs,backendName:\"webgl\",kernelFunc:a9};var xg=class{constructor(e,t){this.variableNames=[\"x\",\"segmentIds\"];let o=e.windowSize,n=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/o);this.outputShape=[n,i];let p=\"0.0\",u=\"sumValue\",c=Math.floor(o/4)*4,l=o%4,m=`\n sumValue += dot(values, segFilter);\n `,d=\"\";s%o>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let f=\"\";s%o>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${p};\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${f}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${a})) * float(${o}));\n int currentSeg = int(mod(float(outIdx), float(${a})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${l===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${l===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${l===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${u});\n }\n `}};function i9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,segmentIds:s}=e,{numSegments:a}=o,i=n.shape.length,p=[],u=0,c=S.getAxesPermutation([u],i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),p.push(l),u=S.getInnerMostAxes(1,i)[0]);let m=S.segment_util.computeOutShape(l.shape,u,a),d=y.sizeFromShape([l.shape[u]]),f=re({inputs:{x:l},backend:t,attrs:{shape:[-1,d]}});p.push(f);let h=Ta(n.dtype),g=(w,k,_,E,A)=>{let R=w.shape[0],D=w.shape[1],P=S.segment_util.segOpComputeOptimalWindowSize(D,A),M={windowSize:P,inSize:D,batchSize:R,numSegments:A},L=new xg(M,k),V=t.compileAndRun(L,[w,_],E);if(p.push(V),V.shape[1]===A)return V;let z=Yw({backend:t,attrs:{start:0,stop:A,step:1,dtype:\"float32\"}}),U=Qw({inputs:{x:z},backend:t,attrs:{reps:[D/P]}});return p.push(z),p.push(U),g(V,k,U,E,A)},x=g(f,\"unsortedSegmentSum\",s,h,a),b=re({inputs:{x},backend:t,attrs:{shape:m}}),C=b;if(c!=null){p.push(b);let w=S.getUndoAxesPermutation(c);C=yt({inputs:{x:C},backend:t,attrs:{perm:w}})}return p.forEach(w=>t.disposeIntermediateTensorInfo(w)),C}var xF={kernelName:Tp,backendName:\"webgl\",kernelFunc:i9};var u9=[rA,nA,sA,aA,uA,pA,cA,lA,fA,hA,gA,xA,yA,bA,CA,SA,wA,IA,vA,kA,NA,_A,$A,EA,FA,PA,MA,KE,BA,zA,WA,UA,GA,HA,KA,qA,jA,XA,YA,JA,eR,tR,rR,oR,nR,sR,aR,iR,uR,pR,cR,lR,mR,dR,fR,gR,xR,yR,bR,SR,wR,IR,vR,kR,NR,TR,_R,$R,HE,ER,VA,AR,RR,DR,qE,FR,OR,PR,MR,LR,BR,VR,zR,WR,UR,HR,KR,qR,jR,XR,YR,ZR,eD,tD,rD,oD,nD,pD,YE,cD,lD,mD,dD,AA,fD,xD,yD,bD,CD,jE,SD,wD,ID,vD,kD,RA,sD,ND,TD,_D,ZE,$D,ED,AD,RD,DD,FD,OD,PD,MD,LD,BD,VD,zD,WD,UD,GD,TA,uD,HD,KD,qD,jD,XD,YD,QD,ZD,eF,tF,oF,nF,sF,aF,iF,uF,iD,eA,pF,cF,lF,dF,fF,tA,hF,gF,xF,hD];for(let r of u9)ka(r);var Fe;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(Fe||(Fe={}));var Ui;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})(Ui||(Ui={}));var yF;function p9(r){yF=r.wasm.cwrap(ho,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function c9(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e;if(n.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o,m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=0;if(a!=null){let A=t.dataIdMap.get(a.dataId);if(A.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${A.shape.length}.`);f=A.id}let h=i==null?0:t.dataIdMap.get(i.dataId).id,g=Ui[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=p?n.shape[2]:n.shape[1],b=u?s.shape[1]:s.shape[2],C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)),w=t.makeOutput([...C,x,b],n.dtype),k=t.dataIdMap.get(w.dataId).id,_=new Uint8Array(new Int32Array(n.shape).buffer),E=new Uint8Array(new Int32Array(s.shape).buffer);return yF(m,_,n.shape.length,d,E,s.shape.length,p,u,g,f,h,l||0,k),w}var bF={kernelName:ho,backendName:\"wasm\",setupFunc:p9,kernelFunc:c9};function Ve(r,e){let t;function o(s){t=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function n(s){let{backend:a,inputs:{x:i}}=s,p=a.dataIdMap.get(i.dataId).id,u=a.makeOutput(i.shape,e||i.dtype),c=a.dataIdMap.get(u.dataId).id;return y.sizeFromShape(u.shape)===0||t(p,Fe[i.dtype],c),u}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:n}}var CF=Ve(ys);function rt(r,e,t){let o;function n(a){o=a.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(a){let{backend:i,inputs:p}=a,{a:u,b:c}=p,l=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,d=t!=null?t:u.dtype,f=S.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(f,d);if(y.sizeFromShape(f)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=i.dataIdMap.get(h.dataId).id;return(()=>o(l,g,u.shape.length,m,x,c.shape.length,Fe[u.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:s}}var l9=!0,SF=rt(eo,l9);var wF;function m9(r){wF=r.wasm.cwrap(Po,null,[\"array\",\"number\",\"number\",\"number\"])}function d9(r){let{inputs:e,backend:t}=r,o=t.makeOutput(e[0].shape,e[0].dtype);if(y.sizeFromShape(o.shape)===0)return o;let n=e.map(i=>t.dataIdMap.get(i.dataId).id),s=new Uint8Array(new Int32Array(n).buffer),a=t.dataIdMap.get(o.dataId).id;return wF(s,n.length,Fe[o.dtype],a),o}var IF={kernelName:Po,backendName:\"wasm\",setupFunc:m9,kernelFunc:d9};function Hu(r){let{inputs:{x:e},backend:t}=r;if(e.dtype===\"string\")return nr(t.readSync(e.dataId),e.shape,e.dtype);let o=t.makeOutput(e.shape,e.dtype),n=t.typedArrayFromHeap(e);return t.typedArrayFromHeap(o).set(n),o}var vF={kernelName:mo,backendName:\"wasm\",kernelFunc:Hu};var kF;function f9(r){kF=r.wasm.cwrap(ro,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function uo(r){let{inputs:e,backend:t,attrs:o}=r,[n,s]=g9(e.x.shape,o.perm),a=!0;for(let f=0;f=n&&(s===-1||o[s]>o[a])&&(s=a);o[s]=n}return[t,o]}var NF={kernelName:ro,backendName:\"wasm\",kernelFunc:uo,setupFunc:f9};function kr(r,e,t){let o=r.shape,n=r.shape.length,s=y.parseAxisParam(e,o),a=s,i=S.getAxesPermutation(a,n),p=null,u=!1;if(i!=null){let c=new Array(n);for(let d=0;d`new shape: ${a}, old shape: ${o.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var OF={kernelName:_s,backendName:\"wasm\",kernelFunc:Lt};var PF;function k9(r){PF=r.wasm.cwrap(zo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function N9(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;if(n.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let w=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Lt({inputs:{x:n},backend:t,attrs:{shape:w}}),E=Lt({inputs:{x:s},backend:t,attrs:{shape:k}}),A=t.dataIdMap.get(_.dataId).id,R=t.dataIdMap.get(E.dataId).id,D=a?_.shape[2]:_.shape[1],P=i?E.shape[1]:E.shape[2],M=Math.max(g,x),L=t.makeOutput([M,D,P],_.dtype),V=t.dataIdMap.get(L.dataId).id,z=new Uint8Array(new Int32Array(_.shape).buffer),U=new Uint8Array(new Int32Array(E.shape).buffer);return PF(A,z,_.shape.length,R,U,E.shape.length,a,i,V),t.disposeData(_.dataId),t.disposeData(E.dataId),L.shape=C,L}var MF={kernelName:zo,backendName:\"wasm\",setupFunc:k9,kernelFunc:N9};function Eo(r){let{inputs:{x:e},attrs:{begin:t,size:o},backend:n}=r,[s,a]=ut.parseSliceParams(e,t,o),i=ut.isSliceContinous(e.shape,s,a),p=n.readSync(e.dataId),u=n.makeOutput(a,e.dtype),c=y.computeStrides(e.shape),l=n.dataIdMap.get(u.dataId);if(i){let f=ut.computeFlatOffset(s,c);return e.dtype===\"string\"?l.stringBytes=p.slice(f,f+y.sizeFromShape(a)):n.typedArrayFromHeap(u).set(p.subarray(f,f+y.sizeFromShape(a))),u}if(e.dtype===\"string\"){let f=$u(p,s,a,e.shape,e.dtype);return l.stringBytes=f,u}let m=n.typedArrayFromHeap(u),d=e.shape.length;if(d===2)T9(p,c[0],m,s,a);else if(d===3)_9(p,c[0],c[1],m,s,a);else if(d===4)$9(p,c[0],c[1],c[2],m,s,a);else{let f=$u(p,s,a,e.shape,e.dtype);m.set(f)}return u}function T9(r,e,t,o,n){let s=0,a=o[0],i=o[1],p=a+n[0];for(let u=a;ux*b),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=Lt({inputs:{x:n},backend:t,attrs:{shape:p}}),f=uo({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Lt({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Eo({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(d.dataId),g}var BF={kernelName:bs,backendName:\"wasm\",kernelFunc:E9};function ms(r){let{inputs:{x:e},attrs:{dtype:t},backend:o}=r,n=o.makeOutput(e.shape,t),s=o.typedArrayFromHeap(e);return o.typedArrayFromHeap(n).set(s),n}var VF={kernelName:co,backendName:\"wasm\",kernelFunc:ms};var zF=Ve(Wo);var WF;function A9(r){WF=r.wasm.cwrap(lo,null,[\"number\",\"number\",\"number\",\"number\"])}function R9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i=t.dataIdMap.get(n.dataId).id,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(p.dataId).id;return WF(i,s,a,u),p}var UF={kernelName:lo,backendName:\"wasm\",setupFunc:A9,kernelFunc:R9};function Zw(r){let{inputs:e,backend:t}=r,o=y.parseAxisParam(r.attrs.axis,e[0].shape)[0],n=e.map(d=>d.shape);S.assertParamsConsistent(n,o);let s=S.computeOutShape(e.map(d=>d.shape),o),a=e.filter(d=>y.sizeFromShape(d.shape)>0);if(a.length===1)return Hu({inputs:{x:a[0]},backend:t});let i=t.makeOutput(s,e[0].dtype);if(y.sizeFromShape(s)===0)return i;if(a[0].dtype===\"string\"){let d=a.map(C=>{let k=[-1,y.sizeFromShape(C.shape.slice(o))];return Lt({inputs:{x:C},backend:t,attrs:{shape:k}})}),f=d.map(C=>({vals:t.readSync(C.dataId),shape:C.shape}));s=S.computeOutShape(d.map(C=>C.shape),1);let h=d[0].shape[0]===1,g=Nu(f,s,e[0].dtype,h),x=S.computeOutShape(a.map(C=>C.shape),o);i.shape=x;let b=t.dataIdMap.get(i.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),d.forEach(C=>t.disposeData(C.dataId)),i}let p=y.sizeFromShape(a[0].shape.slice(0,o)),u=0,c=a.map(d=>{let f=y.sizeFromShape(d.shape.slice(o));return u+=f,f}),l=a.map(d=>t.typedArrayFromHeap(d)),m=t.typedArrayFromHeap(i);for(let d=0;d`cumprod does not support ${n.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],p),c=n;u!==null&&(c=uo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=S.getInnerMostAxes(1,p)[0];S.assertAxesAreInnerMostDims(\"cumprod\",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;JF(f,a?1:0,i?1:0,d,h,Fe[n.dtype]);let g=m;if(u!==null){let x=S.getUndoAxesPermutation(u);g=uo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var eO={kernelName:qo,backendName:\"wasm\",setupFunc:B9,kernelFunc:V9};var tO;function z9(r){tO=r.wasm.cwrap(jo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function W9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o,p=n.shape.length;y.assert(n.dtype===\"float32\"||n.dtype===\"int32\",()=>`cumsum does not support ${n.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],p),c=n;u!==null&&(c=uo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=S.getInnerMostAxes(1,p)[0];S.assertAxesAreInnerMostDims(\"cumsum\",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;tO(f,a?1:0,i?1:0,d,h,Fe[n.dtype]);let g=m;if(u!==null){let x=S.getUndoAxesPermutation(u);g=uo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var rO={kernelName:jo,backendName:\"wasm\",setupFunc:z9,kernelFunc:W9};var oO;function U9(r){oO=r.wasm.cwrap(Yo,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function G9(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=e.makeOutput(f,\"float32\"),x=e.dataIdMap.get(n.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),C=new Uint8Array(new Int32Array(f).buffer),w=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),k=e.dataIdMap.get(h.dataId).id;return oO(x,s,a===\"NHWC\"?1:0,b,n.shape.length-1,C,w,f.length,k),h}var nO={kernelName:Yo,backendName:\"wasm\",setupFunc:U9,kernelFunc:G9};var sO;function H9(r){sO=r.wasm.cwrap(Qo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function K9(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,a=o.dataIdMap.get(n.dataId).id,i=o.dataIdMap.get(s.dataId).id,{strides:p,dilations:u,pad:c,dimRoundingMode:l}=t,m=u==null?[1,1]:u,d=S.computeConv2DInfo(n.shape,s.shape,p,m,c,l,!0),f=d.filterHeight,h=d.filterWidth,g=d.padInfo.top,x=d.padInfo.right,b=d.padInfo.bottom,C=d.padInfo.left,w=d.dilationHeight,k=d.dilationWidth,_=d.strideHeight,E=d.strideWidth,A=d.inChannels,R=d.outChannels,D=d.padInfo.type===\"SAME\"?1:0;if(d.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${d.dataFormat}'. Please use 'channelsLast'.`);let P=o.makeOutput(d.outShape,\"float32\"),M=o.dataIdMap.get(P.dataId).id;return sO(a,n.shape[0],n.shape[1],n.shape[2],i,f,h,g,x,b,C,D,w,k,_,E,A,R,M),P}var aO={kernelName:Qo,backendName:\"wasm\",setupFunc:H9,kernelFunc:K9};var iO=Ve(Jo);var q9=!1,uO=rt(en,q9,\"bool\");var pO=Ve(tn,\"float32\");function yg(r){let{inputs:e,attrs:t,backend:o}=r,{input:n}=e,{dim:s}=t,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Lt({inputs:{x:n},backend:o,attrs:{shape:i}})}var cO={kernelName:Ss,backendName:\"wasm\",kernelFunc:yg};function eI(r){let{attrs:{shape:e,value:t,dtype:o},backend:n}=r,s=n.makeOutput(e,o);return n.typedArrayFromHeap(s).fill(t),s}var lO={kernelName:ws,backendName:\"wasm\",kernelFunc:eI};var mO;function j9(r){mO=r.wasm.cwrap(rn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function X9(r){let{inputs:e,backend:t}=r,{image:o}=e,n=t.makeOutput(o.shape,o.dtype),s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,[i,p,u,c]=o.shape;return mO(s,i,p,u,c,a),n}var dO={kernelName:rn,backendName:\"wasm\",kernelFunc:X9,setupFunc:j9};var fO=Ve(on);var Y9=!1,hO=rt(nn,Y9);var gO;function Q9(r){gO=r.wasm.cwrap(sn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Z9(r){let{backend:e,inputs:t,attrs:o}=r,{varianceEpsilon:n}=o,{x:s,mean:a,variance:i,offset:p,scale:u}=t,c=e.dataIdMap.get(s.dataId).id,l=e.dataIdMap.get(a.dataId).id,m=e.dataIdMap.get(i.dataId).id,d=p!=null?e.dataIdMap.get(p.dataId).id:0,f=u!=null?e.dataIdMap.get(u.dataId).id:0,h=e.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=e.dataIdMap.get(h.dataId).id;return gO(c,l,m,d,f,n,g),h}var xO={kernelName:sn,backendName:\"wasm\",setupFunc:Q9,kernelFunc:Z9};var yO;function J9(r){yO=r.wasm.cwrap(go,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function eJ(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=S.computeConv2DInfo(n.shape,s.shape,p,c,u,m),g=Ui[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,C=h.outChannels,w=0;if(a!=null){let J=o.dataIdMap.get(a.dataId);if(J.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${J.shape.length}.`);if(J.shape[0]!==C)throw new Error(`FusedConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`);w=J.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,A=h.padInfo.right,R=h.padInfo.bottom,D=h.padInfo.left,P=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,V=h.strideWidth,z=h.inChannels,U=h.padInfo.type===\"SAME\"?1:0,K=h.batchSize,H=h.inHeight,q=h.inWidth;if(l!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let Z=o.makeOutput(h.outShape,\"float32\"),ee=o.dataIdMap.get(Z.dataId).id,oe=i==null?0:o.dataIdMap.get(i.dataId).id;return yO(x,K,H,q,b,k,_,w,E,A,R,D,U,P,M,L,V,z,C,g,oe,f||0,ee),Z}var bO={kernelName:go,backendName:\"wasm\",setupFunc:J9,kernelFunc:eJ};var CO;function tJ(r){CO=r.wasm.cwrap(xo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function rJ(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=S.computeConv2DInfo(n.shape,s.shape,p,c,u,m,!0),g=Ui[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,C=h.outChannels,w=0;if(a!=null){let J=o.dataIdMap.get(a.dataId);if(J.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${J.shape.length}.`);if(J.shape[0]!==C)throw new Error(`FusedDepthwiseConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`);w=J.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,A=h.padInfo.right,R=h.padInfo.bottom,D=h.padInfo.left,P=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,V=h.strideWidth,z=h.inChannels,U=h.padInfo.type===\"SAME\"?1:0,K=h.batchSize,H=h.inHeight,q=h.inWidth;if(l!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let Z=o.makeOutput(h.outShape,\"float32\"),ee=o.dataIdMap.get(Z.dataId).id,oe=i==null?0:o.dataIdMap.get(i.dataId).id;return CO(x,K,H,q,b,k,_,w,E,A,R,D,U,P,M,L,V,z,C,g,oe,f||0,ee),Z}var SO={kernelName:xo,backendName:\"wasm\",setupFunc:tJ,kernelFunc:rJ};var wO;function oJ(r){wO=r.wasm.cwrap(an,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function nJ(r){let{backend:e,inputs:t}=r,{params:o,indices:n}=t,[s,a,i,p]=Wd.prepareAndValidate(o,n),u=e.makeOutput(s,o.dtype);if(a===0)return u;let c=n.shape,l=c[c.length-1],d=e.dataIdMap.get(o.dataId).id,h=e.dataIdMap.get(n.dataId).id,g=new Uint8Array(new Int32Array(p).buffer),x=e.dataIdMap.get(u.dataId).id;return wO(d,Fe[o.dtype],h,a,l,i,g,x),u}var IO={kernelName:an,backendName:\"wasm\",setupFunc:oJ,kernelFunc:nJ};var vO;function sJ(r){vO=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function aJ(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,indices:s}=t,{axis:a,batchDims:i}=o,p=y.parseAxisParam(a,n.shape)[0],u=e.readSync(s.dataId),c=n.shape[p];for(let R=0;R=0,()=>`GatherV2: the index value ${D} is not in [0, ${c-1}]`)}let l=S.segment_util.collectGatherOpShapeInfo(n,s,p,i),m=Lt({inputs:{x:n},attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]},backend:e}),d=y.sizeFromShape(s.shape),f=Lt({inputs:{x:s},attrs:{shape:[l.batchSize,d/l.batchSize]},backend:e}),h=[l.batchSize,l.outerSize,d/l.batchSize,l.sliceSize],g=e.makeOutput(h,n.dtype);if(y.sizeFromShape(n.shape)===0)return g;let x=m.shape.length-1,C=e.dataIdMap.get(m.dataId).id,k=e.dataIdMap.get(f.dataId).id,_=e.dataIdMap.get(g.dataId).id,E=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),A=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return vO(C,Fe[n.dtype],E,x,k,l.batchSize,A,_),e.disposeData(m.dataId),e.disposeData(f.dataId),g.shape=l.outputShape,g}var kO={kernelName:Is,backendName:\"wasm\",setupFunc:sJ,kernelFunc:aJ};var iJ=!1,NO=rt(un,iJ,\"bool\");var uJ=!1,TO=rt(pn,uJ,\"bool\");var _O=Ve(cn,\"bool\");var $O;function pJ(r){$O=r.wasm.cwrap(ln,null,[\"number\",\"number\",\"number\",\"number\"])}function cJ(r){let{inputs:{x:e},attrs:{alpha:t},backend:o}=r,n=o.dataIdMap.get(e.dataId).id,s=o.makeOutput(e.shape,\"float32\");if(y.sizeFromShape(e.shape)!==0){let a=o.dataIdMap.get(s.dataId).id;$O(n,Fe[e.dtype],t,a)}return s}var EO={kernelName:ln,backendName:\"wasm\",setupFunc:pJ,kernelFunc:cJ};var lJ=!1,AO=rt(mn,lJ,\"bool\");var mJ=!1,RO=rt(dn,mJ,\"bool\");var DO=Ve(fn);var dJ=!1,FO=rt(hn,dJ,\"bool\");var OO=Ve(gn);var fJ=!1,PO=rt(xn,fJ,\"bool\");var hJ=!1,MO=rt(XI,hJ,\"bool\");var LO;function gJ(r){LO=r.wasm.cwrap(yn,null,[\"number\",\"number\",\"number\",\"number\"])}function xJ(r){let{backend:e,inputs:t,attrs:o}=r,{reductionIndices:n,keepDims:s}=o,{x:a}=t,p=e.dataIdMap.get(a.dataId).id,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e);if(d){let C=e.dataIdMap.get(c.dataId).id;u=c,p=C}let f=u.shape.length;S.assertAxesAreInnerMostDims(\"max\",l,f);let[h,g]=S.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,a.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;LO(p,Fe[a.dtype],x,C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var BO={kernelName:yn,backendName:\"wasm\",setupFunc:gJ,kernelFunc:xJ};var yJ=!1,VO=rt(bn,yJ);var zO;function bJ(r){zO=r.wasm.cwrap(Cn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function CJ(r){let{inputs:e,attrs:t,backend:o}=r,n=e.x,s=o.dataIdMap.get(n.dataId).id;y.assert(n.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`);let{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=t,c=S.computePool2DInfo(n.shape,a,i,1,p,u),l=c.filterHeight,m=c.filterWidth,d=c.padInfo.top,f=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,C=c.strideHeight,w=c.strideWidth,k=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let E=o.makeOutput(c.outShape,\"float32\"),A=o.dataIdMap.get(E.dataId).id;return zO(s,n.shape[0],n.shape[1],n.shape[2],l,m,d,f,h,g,x,b,C,w,k,_,A),E}var WO={kernelName:Cn,backendName:\"wasm\",setupFunc:bJ,kernelFunc:CJ};var UO;function SJ(r){UO=r.wasm.cwrap(Sn,null,[\"number, number, number\"])}function wJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims(\"mean\",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=u;u.dtype!==\"float32\"&&(b=ms({backend:e,inputs:{x:u},attrs:{dtype:\"float32\"}}),p=e.dataIdMap.get(b.dataId).id);let C=e.makeOutput(h,\"float32\");if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(C.dataId).id;UO(p,x,w)}if(d&&e.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(C.shape,m);C.shape=w}return u.dtype!==\"float32\"&&e.disposeData(b.dataId),C}var GO={kernelName:Sn,backendName:\"wasm\",setupFunc:SJ,kernelFunc:wJ};var HO;function IJ(r){HO=r.wasm.cwrap(wn,null,[\"number\",\"number\",\"number\",\"number\"])}function vJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e);if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C)}let f=u.shape.length;S.assertAxesAreInnerMostDims(\"min\",l,f);let[h,g]=S.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;HO(p,Fe[a.dtype],x,C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var KO={kernelName:wn,backendName:\"wasm\",setupFunc:IJ,kernelFunc:vJ};var kJ=!1,qO=rt(In,kJ);var tI;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(tI||(tI={}));var jO;function NJ(r){jO=r.wasm.cwrap(vn,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function TJ(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,mode:n}}=r,s=o.map((f,h)=>f[0]+e.shape[h]+f[1]),a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),p=t.dataIdMap.get(i.dataId).id,u=new Uint8Array(new Int32Array(e.shape).buffer),c=o.map(f=>f[0]),l=o.map(f=>f[1]),m=new Uint8Array(new Int32Array(c).buffer),d=new Uint8Array(new Int32Array(l).buffer);return jO(a,u,e.shape.length,Fe[e.dtype],m,d,tI[n],p),i}var XO={kernelName:vn,backendName:\"wasm\",kernelFunc:TJ,setupFunc:NJ};var _J=!0,YO=rt(kn,_J);var QO=Ve(vs);function wc(r,e){let t=new Int32Array(r.wasm.HEAPU8.buffer,e,4),o=t[0],n=t[1],s=t[2],a=t[3];return r.wasm._free(e),{pSelectedIndices:o,selectedSize:n,pSelectedScores:s,pValidOutputs:a}}var ZO;function $J(r){ZO=r.wasm.cwrap(Tn,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function EJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a}=o,{boxes:i,scores:p}=t,u=e.dataIdMap.get(i.dataId).id,c=e.dataIdMap.get(p.dataId).id,l=ZO(u,c,s,n,a),{pSelectedIndices:m,selectedSize:d,pSelectedScores:f,pValidOutputs:h}=wc(e,l);return e.wasm._free(f),e.wasm._free(h),e.makeOutput([d],\"int32\",m)}var JO={kernelName:Tn,backendName:\"wasm\",setupFunc:$J,kernelFunc:EJ};var eP;function AJ(r){eP=r.wasm.cwrap(ba,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function RJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,padToMaxOutputSize:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=eP(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=wc(e,m);e.wasm._free(h);let x=e.makeOutput([f],\"int32\",d),b=e.makeOutput([],\"int32\",g);return[x,b]}var tP={kernelName:ba,backendName:\"wasm\",setupFunc:AJ,kernelFunc:RJ};var rP;function DJ(r){rP=r.wasm.cwrap(_n,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function FJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,softNmsSigma:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=rP(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=wc(e,m);e.wasm._free(g);let x=e.makeOutput([f],\"int32\",d),b=e.makeOutput([f],\"float32\",h);return[x,b]}var oP={kernelName:_n,backendName:\"wasm\",setupFunc:DJ,kernelFunc:FJ};var OJ=!1,nP=rt(Nn,OJ,\"bool\");var sP;function PJ(r){sP=r.wasm.cwrap($n,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function MJ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=t.makeOutput([...n.shape,a],s),c=t.dataIdMap.get(u.dataId).id,m=t.dataIdMap.get(n.dataId).id;return sP(m,a,i,p,c),u}var aP={kernelName:$n,backendName:\"wasm\",setupFunc:PJ,kernelFunc:MJ};function LJ(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(1),o}var iP={kernelName:ks,backendName:\"wasm\",kernelFunc:LJ};function BJ(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return yg({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=yg({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Zw({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var uP={kernelName:Ns,backendName:\"wasm\",kernelFunc:BJ};var pP;function VJ(r){pP=r.wasm.cwrap(En,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function zJ(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,constantValue:n}}=r,s=o.map((h,g)=>h[0]+e.shape[g]+h[1]);if(y.sizeFromShape(e.shape)===0)return eI({backend:t,attrs:{shape:s,value:n,dtype:e.dtype}});let a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(e.shape).buffer),l=o.map(h=>h[0]),m=o.map(h=>h[1]),d=new Uint8Array(new Int32Array(l).buffer),f=new Uint8Array(new Int32Array(m).buffer);return pP(a,c,e.shape.length,Fe[e.dtype],d,f,n,u),i}var bg={kernelName:En,backendName:\"wasm\",kernelFunc:zJ,setupFunc:VJ};var WJ=!1,cP=rt(An,WJ);var lP;function UJ(r){lP=r.wasm.cwrap(Rn,null,[\"number\",\"number\",\"number\"])}function GJ(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,i=s,p=o,u=p;p.dtype!==\"float32\"&&(u=ms({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),i=t.dataIdMap.get(u.dataId).id);let c=t.makeOutput(o.shape,\"float32\"),l=t.dataIdMap.get(c.dataId).id;return lP(i,a,l),p.dtype!==\"float32\"&&t.disposeData(u.dataId),c}var mP={kernelName:Rn,backendName:\"wasm\",setupFunc:UJ,kernelFunc:GJ};var dP;function HJ(r){dP=r.wasm.cwrap(Dn,null,[\"number\",\"number\",\"number\",\"number\"])}function KJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims(\"prod\",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;dP(p,x,Fe[b.dtype],C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var fP={kernelName:Dn,backendName:\"wasm\",setupFunc:HJ,kernelFunc:KJ};var qJ=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=_u(o,n,s,a),p=e.makeOutput([i.length],a);return e.typedArrayFromHeap(p).set(i),p},hP={kernelName:Ts,backendName:\"wasm\",kernelFunc:qJ};var jJ=!0,gP=rt(Zo,jJ);var xP=Ve(Fn);var yP=Ve(On);var bP=Ve(Ln);var CP;function XJ(r){CP=r.wasm.cwrap(Mn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function YJ(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.dataIdMap.get(n.dataId),g;h.dtype!==\"float32\"&&(g=ms({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),h=e.dataIdMap.get(g.dataId));let x=h.id,b=e.makeOutput(f,\"float32\");if(y.sizeFromShape(n.shape)===0)return b;let C=e.dataIdMap.get(b.dataId).id;return CP(x,c,l,m,d,p,u,s?1:0,a?1:0,C),g!=null&&e.disposeData(g.dataId),b}var SP={kernelName:Mn,backendName:\"wasm\",setupFunc:XJ,kernelFunc:YJ};var wP;function QJ(r){wP=r.wasm.cwrap(Pn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function ZJ(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.makeOutput(f,\"float32\");if(y.sizeFromShape(n.shape)===0)return h;let g=e.dataIdMap.get(n.dataId),x;g.dtype!==\"float32\"&&(x=ms({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),g=e.dataIdMap.get(x.dataId));let b=g.id,C=e.dataIdMap.get(h.dataId).id;return wP(b,c,l,m,d,p,u,s?1:0,a?1:0,C),x!=null&&e.disposeData(x.dataId),h}var IP={kernelName:Pn,backendName:\"wasm\",setupFunc:QJ,kernelFunc:ZJ};var vP;function JJ(r){vP=r.wasm.cwrap(Bn,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function eee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=y.parseAxisParam(s,n.shape);if(n.shape.length===0)return Hu({inputs:{x:n},backend:t});let i=t.makeOutput(n.shape,n.dtype),p=t.dataIdMap.get(n.dataId).id,u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(a).buffer),l=new Uint8Array(new Int32Array(n.shape).buffer);vP(p,c,a.length,l,n.shape.length,u);let m=Lt({inputs:{x:i},attrs:{shape:n.shape},backend:t});return t.disposeData(i.dataId),m}var kP={kernelName:Bn,backendName:\"wasm\",kernelFunc:eee,setupFunc:JJ};var NP;function tee(r){NP=r.wasm.cwrap(ts,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function ree(r){let{inputs:e,backend:t,attrs:o}=r,{image:n}=e,{radians:s,fillValue:a,center:i}=o,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(n.dataId).id,c=t.dataIdMap.get(p.dataId).id,[l,m,d,f]=n.shape,[h,g]=S.getImageCenter(i,m,d),x=a===0,b=255,C=typeof a==\"number\"?[a,a,a,x?0:b]:[...a,b],w=new Uint8Array(new Int32Array(C).buffer);return NP(u,l,m,d,f,s,h,g,w,C.length,c),p}var TP={kernelName:ts,backendName:\"wasm\",kernelFunc:ree,setupFunc:tee};var _P=Ve(Vn);var $P=Ve(zn);var EP;function oee(r){EP=r.wasm.cwrap(Wn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function nee(r){let{backend:e,inputs:t,attrs:o}=r,{indices:n,updates:s}=t,{shape:a}=o,i=e.makeOutput(a,s.dtype);if(y.sizeFromShape(a)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=sl.calculateShapes(s,n,a),f=e.dataIdMap.get(n.dataId).id,g=e.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(l).buffer),b=e.dataIdMap.get(i.dataId).id;return EP(f,g,Fe[s.dtype],p,u,c,x,m,b),i}var AP={kernelName:Wn,backendName:\"wasm\",setupFunc:oee,kernelFunc:nee};var RP;function see(r){RP=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function aee(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=t.dataIdMap.get(o.dataId).id,i=t.dataIdMap.get(n.dataId).id,p=t.dataIdMap.get(s.dataId).id,u=t.makeOutput(n.shape,n.dtype),c=t.dataIdMap.get(u.dataId).id,l=o.shape.length,m=n.shape.length,d=l===0||l>1||m===1?1:y.sizeFromShape(n.shape.slice(1));return RP(a,i,p,d,c),u}var DP={kernelName:$s,backendName:\"wasm\",kernelFunc:aee,setupFunc:see};var FP;function iee(r){FP=r.wasm.cwrap(Gn,null,[\"number\",\"number\"])}function uee(r){let{backend:e,inputs:{x:t}}=r,o=e.dataIdMap.get(t.dataId).id,n=e.makeOutput(t.shape,t.dtype),s=e.dataIdMap.get(n.dataId).id;return y.sizeFromShape(n.shape)===0||FP(o,s),n}var OP={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:iee,kernelFunc:uee};var PP=Ve(Un);var MP;function pee(r){MP=r.wasm.cwrap(qn,null,[\"number\",\"number\",\"number\",\"number\"])}function cee(r){let{backend:e,inputs:{logits:t},attrs:{dim:o}}=r,n=e.dataIdMap.get(t.dataId).id,s=e.makeOutput(t.shape,t.dtype),a=e.dataIdMap.get(s.dataId).id,i=t.shape[o],p=y.sizeFromShape(t.shape)/i;return y.sizeFromShape(s.shape)===0||MP(n,a,i,p),s}var LP={kernelName:qn,backendName:\"wasm\",setupFunc:pee,kernelFunc:cee};function lee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o,i=y.sizeFromShape(s),p=[[0,0]];p.push(...a);for(let _=1+s.length;_0?p+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let l=n.shape.slice();l[0]=c;let m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=t.dataIdMap.get(a.dataId).id,h=t.makeOutput(l,n.dtype),g=t.dataIdMap.get(h.dataId).id,x=t.makeOutput([4],\"int32\"),b=t.dataIdMap.get(x.dataId).id;GP(m,Fe[n.dtype],n.shape[0],d,f,g,b,e,0);let C=t.readSync(x.dataId),w;switch(C[0]){case 0:{w=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{w=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:w=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(C[1],C[2]);break;case 3:w=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C[1],C[2],C[3]);break;default:w=\"\"}if(t.disposeData(x.dataId),w)throw t.disposeData(h.dataId),new Error(w);return h}function gee(r){return Sg(r,!0)}var HP={kernelName:gi,backendName:\"wasm\",setupFunc:Cg,kernelFunc:gee};function xee(r){return Sg(r,!1)}var KP={kernelName:xi,backendName:\"wasm\",setupFunc:Cg,kernelFunc:xee};function yee(r){let{inputs:e,attrs:t,backend:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=t,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Eo({inputs:{x:n},attrs:{begin:u,size:m},backend:o});return u[i]+=l,d})}var qP={kernelName:Rs,backendName:\"wasm\",kernelFunc:yee};var jP=Ve(Hn);var XP=Ve(bi);var bee=!0,YP=rt(jn,bee);var QP;function Cee(r){QP=r.wasm.cwrap(fo,null,[\"number\",\"number\",\"number\",\"number\"])}function See(r){let{backend:e,inputs:t,attrs:o}=r,{alpha:n}=o,{x:s}=t,a=e.dataIdMap.get(s.dataId).id,i=e.makeOutput(s.shape,s.dtype),p=e.dataIdMap.get(i.dataId).id;return QP(a,n,Fe[s.dtype],p),i}var ZP={kernelName:fo,backendName:\"wasm\",setupFunc:Cee,kernelFunc:See};var JP;function wee(r){JP=r.wasm.cwrap(Xn,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function Iee(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Lt({inputs:{x:n},backend:e,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=Eo({inputs:{x:n},backend:e,attrs:{begin:b,size:_}});k=Lt({inputs:{x:E},backend:e,attrs:{shape:f}}),e.disposeData(E.dataId)}else{let _=e.makeOutput(d,\"float32\"),E=e.dataIdMap.get(n.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),R=new Uint8Array(new Int32Array(b).buffer),D=new Uint8Array(new Int32Array(C).buffer),P=new Uint8Array(new Int32Array(w).buffer),M=new Uint8Array(new Int32Array(d).buffer),L=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),V=e.dataIdMap.get(_.dataId).id;JP(E,A,n.shape.length,R,D,P,M,L,d.length,V),k=Lt({inputs:{x:_},backend:e,attrs:{shape:f}}),e.disposeData(_.dataId)}return k}var e3={kernelName:Xn,backendName:\"wasm\",setupFunc:wee,kernelFunc:Iee};function vee(r){let{backend:e,inputs:t,attrs:o}=r,{data:n,dataSplits:s}=t,{separator:a,nGramWidths:i,leftPad:p,rightPad:u,padWidth:c,preserveShortSequences:l}=o,m=e.readSync(n.dataId),d=e.readSync(s.dataId),[f,h]=Eu(m,d,a,i,p,u,c,l),g=e.makeOutput([f.length],\"string\"),x=e.dataIdMap.get(g.dataId);x.stringBytes=f;let b=e.makeOutput(s.shape,\"int32\");return e.typedArrayFromHeap(b).set(h),[g,b]}var t3={kernelName:Ds,backendName:\"wasm\",kernelFunc:vee};function kee(r){let{backend:e,inputs:t,attrs:o}=r,{input:n,delimiter:s}=t,{skipEmpty:a}=o,i=e.readSync(n.dataId),p=e.readSync(s.dataId),[u,c,l]=Au(i,p[0],a),m=c.length,d=e.makeOutput([m,2],\"int32\");e.typedArrayFromHeap(d).set(u);let h=e.makeOutput([m],\"string\"),g=e.dataIdMap.get(h.dataId);g.stringBytes=c;let x=e.makeOutput([2],\"int32\");return e.typedArrayFromHeap(x).set(l),[d,h,x]}var r3={kernelName:Ci,backendName:\"wasm\",kernelFunc:kee};function Nee(r){let{backend:e,inputs:t,attrs:o}=r,{input:n}=t,{numBuckets:s}=o,a=e.readSync(n.dataId),i=Ru(a,s),p=e.makeOutput(n.shape,\"int32\");return e.typedArrayFromHeap(p).set(i),p}var o3={kernelName:Si,backendName:\"wasm\",kernelFunc:Nee};var Tee=!0,n3=rt(Yn,Tee);var s3;function _ee(r){s3=r.wasm.cwrap(Kn,null,[\"number\",\"number\",\"number\",\"number\"])}function $ee(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims(\"sum\",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;s3(p,x,Fe[b.dtype],C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var a3={kernelName:Kn,backendName:\"wasm\",setupFunc:_ee,kernelFunc:$ee};var i3=Ve(Qn);var u3=Ve(Zn);var p3;function Eee(r){p3=r.wasm.cwrap(to,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Aee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,s=t.dataIdMap.get(n.dataId).id,{reps:a}=o,i=new Array(n.shape.length);for(let m=0;m{let{x:o}=r,{k:n,sorted:s}=t,a=e.dataIdMap.get(o.dataId).id,i=new Uint8Array(new Int32Array(o.shape).buffer),p=o.shape.slice();p[p.length-1]=n;let u=e.makeOutput(p,o.dtype),c=e.dataIdMap.get(u.dataId).id,l=e.makeOutput(p,\"int32\"),m=e.dataIdMap.get(l.dataId).id;return l3(a,i,o.shape.length,Fe[o.dtype],n,s,c,m),[u,l]},m3={kernelName:Jn,backendName:\"wasm\",setupFunc:Ree,kernelFunc:Dee};var d3;function Fee(r){d3=r.wasm.cwrap(es,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Oee(r){let{backend:e,inputs:t,attrs:o}=r,{image:n,transforms:s}=t,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),C=e.makeOutput(g,n.dtype),w=e.dataIdMap.get(C.dataId).id,_=e.dataIdMap.get(n.dataId).id,A=e.dataIdMap.get(s.dataId).id,R=a===\"nearest\"?1:2,D;switch(i){case\"constant\":D=1;break;case\"reflect\":D=2;break;case\"wrap\":D=3;break;case\"nearest\":D=4;break;default:D=1;break}return d3(_,A,s.shape[0]>1,c,f,h,d,m,l,x,n.shape.length-1,b,g.length-1,R,D,p,w),C}var f3={kernelName:es,backendName:\"wasm\",setupFunc:Fee,kernelFunc:Oee};function Pee(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n.shape[s],i=n.shape.length,p=new Array(i-1),u=0;for(let d=0;d({dataId:d,dtype:f,shape:p}))}var h3={kernelName:Fs,backendName:\"wasm\",kernelFunc:Pee};function Mee(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(0),o}var g3={kernelName:Os,backendName:\"wasm\",kernelFunc:Mee};var Lee=[bF,CF,SF,IF,_F,EF,RF,FF,MF,BF,VF,zF,UF,GF,KF,jF,XF,YF,ZF,eO,rO,nO,aO,iO,uO,pO,cO,lO,dO,fO,hO,xO,bO,SO,IO,kO,NO,TO,vF,_O,EO,AO,RO,DO,FO,OO,PO,MO,BO,VO,WO,GO,KO,qO,XO,YO,QO,JO,tP,oP,nP,aP,iP,uP,bg,cP,mP,fP,hP,gP,xP,yP,bP,OF,SP,IP,kP,TP,_P,$P,AP,DP,OP,PP,LF,LP,BP,zP,UP,HP,KP,qP,jP,XP,YP,ZP,e3,t3,r3,o3,n3,a3,i3,u3,c3,m3,f3,NF,h3,g3];for(let r of Lee)ka(r);var rI=O();rI.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});rI.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(rI.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var cI=ap(C3()),N3=ap(w3()),lI=ap(I3());var v3=cI.default||cI,Bee=lI.default||lI,Ll=class extends Zr{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(_3),pI=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Fo(this,sr())}write(e,t,o){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,o,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}move(e,t,o,n,s){let a=this.dataIdNextNumber++;if(n===\"string\"){let c=t;this.dataIdMap.set(e,{id:a,stringBytes:c,shape:o,dtype:n,memoryOffset:null,refCount:s});return}let i=y.sizeFromShape(o),p=i*y.bytesPerElement(n),u=this.wasm._malloc(p);this.dataIdMap.set(e,{id:a,memoryOffset:u,shape:o,dtype:n,refCount:s}),this.wasm.tfjs.registerTensor(a,i,u),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,p),u)}async read(e){return this.readSync(e)}readSync(e,t,o){let{memoryOffset:n,dtype:s,shape:a,stringBytes:i}=this.dataIdMap.get(e);if(s===\"string\")return(t==null||t===0)&&(o==null||o>=i.length)?i:i.slice(t,o);t=t||0,o=o||y.sizeFromShape(a);let p=y.bytesPerElement(s),u=this.wasm.HEAPU8.slice(n+t*p,n+o*p);return zee(u.buffer,s)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let o=this.dataIdMap.get(e);if(o.refCount--,!t&&o.refCount>0)return!1;this.wasm._free(o.memoryOffset),this.wasm.tfjs.disposeData(o.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,o){let n;if(o==null)n=this.write(null,e,t);else{let s=this.dataIdNextNumber++;n={id:s},this.dataIdMap.set(n,{id:s,memoryOffset:o,shape:e,dtype:t,refCount:1});let a=y.sizeFromShape(e);this.wasm.tfjs.registerTensor(s,a,o)}return{dataId:n,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:o}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(o),a=y.sizeFromShape(e);switch(t){case\"float32\":return new Float32Array(n,s,a);case\"int32\":return new Int32Array(n,s,a);case\"bool\":return new Uint8Array(n,s,a);default:throw new Error(`Unknown dtype ${t}`)}}};function Vee(r){return(e,t)=>(y.fetch(r,{credentials:\"same-origin\"}).then(o=>{o.ok||e.env.a(`failed to load wasm binary file at '${r}'`),o.arrayBuffer().then(n=>{WebAssembly.instantiate(n,e).then(s=>{t(s.instance,s.module)})})}),{})}function k3(r,e,t){if(vg!=null)return vg;let o=\"tfjs-backend-wasm.wasm\";return r&&e?o=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(o=\"tfjs-backend-wasm-simd.wasm\"),Pl!=null&&Pl[o]!=null?Pl[o]:t+o}async function T3(){let[r,e]=await Promise.all([O().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),O().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((t,o)=>{let n={};n.locateFile=(i,p)=>{if(i.endsWith(\".worker.js\")){let u=N3.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([u],{type:\"application/javascript\"});return URL.createObjectURL(c)}return i.endsWith(\".wasm\")?k3(r,e,Ol!=null?Ol:p):p+i},mI&&(n.instantiateWasm=Vee(k3(r,e,Ol!=null?Ol:\"\")));let s=!1;n.onAbort=()=>{if(s||Ml)return;Ml=!0,o({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let a;e&&r&&vg==null?(n.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+v3.toString()],{type:\"text/javascript\"}),a=v3(n)):a=Bee(n),a.then(i=>{s=!0,Ml=!1;let p=null;i.tfjs={init:i.cwrap(\"init\",null,[]),initWithThreadsCount:i.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:i.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:i.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:i.cwrap(\"dispose_data\",p,[\"number\"]),dispose:i.cwrap(\"dispose\",p,[])},t({wasm:i})}).catch(o)})}function zee(r,e){switch(e){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${e}`)}}var Wee=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],vg=null,Ol=null,Pl={},Ml=!1,mI=!1;function Uee(r,e=!1){if(nC(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),Ml)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");vg=r,mI=e}function Gee(r,e=!1){if(Ml)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")Ol=r;else{Pl=r;let t=Wee.filter(o=>Pl[o]==null);if(t.length>0)throw new Error(`There were no entries found for the following binaries: ${t.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}mI=e}var _3=-1,pI=-1;function Hee(r){_3=r}function Kee(){if(pI===-1)throw new Error(\"WASM backend not initialized.\");return pI}var qee=\"4.2.0\";var jee=2;Ti(\"wasm\",async()=>{let{wasm:r}=await T3();return new Ll(r)},jee);var ds=O();ds.registerFlag(\"WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE\",()=>15);ds.registerFlag(\"WEBGPU_CPU_FORWARD\",()=>!0);ds.registerFlag(\"WEBGPU_MATMUL_PROGRAM_TYPE\",()=>-1);ds.registerFlag(\"WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE\",()=>!1);ds.registerFlag(\"WEBGPU_USE_LOW_POWER_GPU\",()=>!1);ds.registerFlag(\"WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e3);ds.registerFlag(\"WEBGPU_USE_PROFILE_TOOL\",()=>!1);ds.registerFlag(\"WEBGPU_IMPORT_EXTERNAL_TEXTURE\",()=>!0);ds.registerFlag(\"WEBGPU_USE_NAIVE_CONV2D_DEBUG\",()=>!1);ds.registerFlag(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\",()=>0);ds.registerFlag(\"WEBGPU_CONV_SEPARATE_IM2COL_SHADER\",()=>!1);var kg=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith(\"gen\"))return Number(this.architecture.match(/\\d+/));if(this.architecture.startsWith(\"xe\"))return 12}return 0}isIntel(){return this.vendor===\"intel\"}};var Ng=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireUploadBuffer(e,t){return this.acquireBuffer(e,t,!0)}acquireBuffer(e,t,o=!1){let n=$3(e,t);if(this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.usedBuffers.has(n)||this.usedBuffers.set(n,[]),this.numBytesUsed+=e,this.numUsedBuffers++,this.freeBuffers.get(n).length>0){this.numFreeBuffers--;let a=this.freeBuffers.get(n).shift();return this.usedBuffers.get(n).push(a),a}this.numBytesAllocated+=e;let s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o});return this.usedBuffers.get(n).push(s),s}releaseBuffer(e,t,o){if(this.freeBuffers.size===0)return;let n=$3(t,o);this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.freeBuffers.get(n).push(e),this.numFreeBuffers++,this.numUsedBuffers--;let s=this.usedBuffers.get(n),a=s.indexOf(e);if(a<0)throw new Error(\"Cannot release a buffer that was never provided by this buffer manager\");s.splice(a,1),this.numBytesUsed-=t}releaseUploadBuffer(e,t,o){e.mapAsync(GPUMapMode.WRITE).then(()=>{this.releaseBuffer(e,t,o)},n=>{})}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function $3(r,e){return`${r}_${e}`}var Tg=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,o,n){let s=A3(o),a=e*t*s,i=E3(e,t,o,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=a,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let u=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(u),u}this.numBytesAllocated+=a;let p=this.device.createTexture({size:[e,t],format:o,usage:n});return this.usedTextures.get(i).push(p),p}releaseTexture(e,t,o,n,s){if(this.freeTextures.size===0)return;let a=E3(t,o,n,s);this.freeTextures.has(a)||this.freeTextures.set(a,[]),this.freeTextures.get(a).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(a),p=i.indexOf(e);if(p<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");i.splice(p,1);let u=A3(n),c=t*o*u;this.numBytesUsed-=c}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function E3(r,e,t,o){return`${r}_${e}_${t}_${o}`}function A3(r){if(r===\"rgba8unorm\")return 16;throw new Error(`${r} is not supported!`)}function R3(r,e){if(Math.max(...r)>3)throw new Error(\"Cannot symbolically compute strides for rank > 4 tensor.\");let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}var Ic=(r,e,t)=>t===\"int32\"?`atomicAdd(${r}, bitcast(${e}));`:`\n {\n var oldValue = 0;\n loop {\n let newValueF32 = bitcast(oldValue) + (${e});\n let newValue = bitcast(newValueF32);\n let res = atomicCompareExchangeWeak(${r}, oldValue, newValue);\n if res.exchanged {\n break;\n }\n oldValue = res.old_value;\n }\n }`;var M3=(r,e,t,o)=>{let n={dtype:o.dtype,shape:o.shape},s=Yee(t,n,e),a=r.createShaderModule({code:s,label:e.constructor.name});return r.createComputePipeline({compute:{module:a,entryPoint:\"_start\"},label:e.constructor.name,layout:\"auto\"})};function Rt(r){if(r<=1)return\"i32\";if(r===2)return\"vec2\";if(r===3)return\"vec3\";if(r===4)return\"vec4\";if(r===5)return\"vec5\";if(r===6)return\"vec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Ao(r){if(r===0)return\"x\";if(r===1)return\"y\";if(r===2)return\"z\";if(r===3)return\"w\";if(r===4)return\"u\";if(r===5)return\"v\";throw Error(`Index ${r} is not yet supported`)}function Q(...r){let e;switch(r.length){case 0:e=`\n fn main()\n `;break;case 1:e=`\n fn main(${r[0]} : i32)\n `;break;default:throw Error(\"Unreachable\")}return e}function D3(r,e){let t;return t=`\n ${Xee(e)}\n fn _start(@builtin(local_invocation_id) LocalId : vec3,\n @builtin(global_invocation_id) GlobalId : vec3,\n @builtin(local_invocation_index) LocalIndex: u32,\n @builtin(workgroup_id) WorkgroupId : vec3,\n @builtin(num_workgroups) NumWorkgroups : vec3) {\n localId = LocalId;\n localIndex = LocalIndex;\n globalId = GlobalId;\n numWorkgroups = NumWorkgroups;\n workgroupId = WorkgroupId;\n ${r?\"main(getGlobalIndex());\":\"main();\"};\n }\n `,t}function Xee(r){return`\n @compute @workgroup_size(${r.workgroupSize[0]}, ${r.workgroupSize[1]}, ${r.workgroupSize[2]})\n`}function Yee(r,e,t){let o=[],n=t.workgroupSize[0]*t.workgroupSize[1]*t.workgroupSize[2];if(o.push(`\n\n var localId: vec3;\n var localIndex: u32;\n var globalId: vec3;\n var numWorkgroups: vec3;\n var workgroupId: vec3;\n\n // Only used when the y/z dimension of workgroup size is 1.\n fn getGlobalIndex() -> i32 {\n ${B3(t)?\" return i32(globalId.x);\":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y +\n workgroupId.y * numWorkgroups.x + workgroupId.x) * ${n}u +\n localIndex);\n `}\n }\n `),t.isFromPixels){o.push(`\n struct Uniform {\n size : i32,\n numChannels : i32,\n outShapeStrides : vec2,\n };\n\n @group(0) @binding(0) var result: array<${vc(e.dtype,t.isVec4)}>;\n @group(0) @binding(2) var uniforms: Uniform;\n `);let f=P3(t);return[F3,o.join(`\n`),O3(e.shape),t.getUserCode(),D3(f,t)].join(`\n`)}let s=\"struct Uniforms { NAN : f32, INFINITY : f32, \";t.variableNames.forEach((f,h)=>{let g=Rt(r[h].shape.length);s+=`${f.charAt(0).toLowerCase()+f.slice(1)}Shape : ${g}, `});let a=Rt(e.shape.length);s+=`outShape : ${a}, `;let i=e.shape.length-1,p=Rt(i);s+=`\n outShapeStrides: ${p}, `,t.size&&(s+=\"size : i32, \"),t.uniforms&&(s+=t.uniforms),s+=\"};\",s=nte(s),o.push(s),t.atomic?o.push(`\n @group(0) @binding(0) var result: array>;\n `):o.push(`\n @group(0) @binding(0) var result: array<${vc(e.dtype,t.isVec4)}>;\n `),t.variableNames.forEach((f,h)=>{o.push(`\n @group(0) @binding(${1+h}) var ${f}: array<${t.variableTypes?t.variableTypes[h]:vc(r[h].dtype,t.isVec4)}>;\n `)}),s!==\"\"&&o.push(`\n @group(0) @binding(${1+t.variableNames.length}) var uniforms: Uniforms;\n `);let u=tte(e.shape,t.dispatchLayout),c=[F3,o.join(`\n`)+Qee,O3(e.shape),u,rte(e.shape.length)];t.atomic||c.push(ote(e.shape,e.dtype,t.isVec4));let l=r.map((f,h)=>ete(f,e.shape,t.variableTypes?t.variableTypes[h]===\"vec4\":t.isVec4,t.dispatchLayout.x.length===e.shape.length)).join(`\n`);c.push(l),c.push(t.getUserCode());let m=P3(t);return c.push(D3(m,t)),c.join(`\n`)}function L3(r,e,t,o){let n=r.shaderKey;if(r.isFromPixels)return n;let s=t.map(c=>c.dtype).concat(o.dtype),a=t.map(c=>S.getBroadcastDims(c.shape,o.shape)),i=t.map(c=>y.arraysEqual(c.shape,o.shape)).join(\"_\"),p=a.map(c=>c.join(\"_\")).join(\";\"),u=B3(r)?\"flatDispatch\":\"\";return n+=\"_\"+(r.workgroupSize?r.workgroupSize.join(\",\"):\"\")+e.map(c=>c.length).join(\",\")+s.join(\",\")+r.variableNames.join(\",\")+p+i+u,n}var F3=`\n struct vec5 {x: i32, y: i32, z: i32, w: i32, u: i32};\n struct vec6 {x: i32, y: i32, z: i32, w: i32, u: i32, v: i32};\n\n // Checks whether coordinates lie within the bounds of the shape.\n fn coordsInBounds2D(coord : vec2, shape : vec2) -> bool {\n return all(coord >= vec2(0)) && all(coord < shape);\n }\n fn coordsInBounds3D(coord : vec3, shape : vec3) -> bool {\n return all(coord >= vec3(0)) && all(coord < shape);\n }\n fn coordsInBounds4D(coord : vec4, shape : vec4) -> bool {\n return all(coord >= vec4(0)) && all(coord < shape);\n }\n\n fn getIndexFromCoords1D(coord : i32, shape : i32) -> i32 {\n return coord;\n }\n fn getIndexFromCoords2D(coords : vec2, shape : vec2) -> i32 {\n return dot(coords, vec2(shape.y, 1));\n }\n fn getIndexFromCoords3D(coords : vec3, shape : vec3) -> i32 {\n return dot(coords, vec3(shape.y * shape.z, shape.z, 1));\n }\n fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 {\n return dot(coords, vec4(\n shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));\n }\n fn getIndexFromCoords5D(coords : vec5, shape : vec5) -> i32 {\n let shapeStrides: vec5 = vec5(shape.y * shape.z * shape.w * shape.u, shape.z * shape.w * shape.u, shape.w * shape.u, shape.u, 1);\n return coords.x*shapeStrides.x + coords.y*shapeStrides.y + coords.z*shapeStrides.z + coords.w*shapeStrides.w + coords.u*shapeStrides.u;\n }\n fn getIndexFromCoords6D(coords : vec6, shape : vec6) -> i32 {\n let shapeStrides: vec6 = vec6(shape.y * shape.z * shape.w * shape.u * shape.v, shape.z * shape.w * shape.u * shape.v, shape.w * shape.u * shape.v, shape.u * shape.v, shape.v, 1);\n return coords.x*shapeStrides.x + coords.y*shapeStrides.y + coords.z*shapeStrides.z + coords.w*shapeStrides.w + coords.u*shapeStrides.u + coords.v*shapeStrides.v;\n }\n\n fn idiv(a: i32, b: i32, sign: f32) -> i32 {\n var res: i32 = a / b;\n let modulo: i32 = a % b;\n if (sign < 0. && modulo != 0) {\n res = res - 1;\n }\n return res;\n }\n\n // NaN defination in IEEE 754-1985 is :\n // - sign = either 0 or 1.\n // - biased exponent = all 1 bits.\n // - fraction = anything except all 0 bits (since all 0 bits represents infinity).\n // https://en.wikipedia.org/wiki/IEEE_754-1985#Representation_of_non-numbers\n fn isnan(val: f32) -> bool {\n let floatToUint: u32 = bitcast(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n fn isnanVec4(val : vec4) -> vec4 {\n let floatToUint: vec4 = bitcast>(val);\n return (floatToUint & vec4(0x7fffffffu)) > vec4(0x7f800000u);\n }\n`,Qee=`\n fn isinf(val: f32) -> bool {\n return abs(val) == uniforms.INFINITY;\n }\n`;function O3(r){let e=r.length;if(e<=1)return\"fn getCoordsFromIndex(index : i32) -> i32 { return index; }\";let t=y.computeStrides(r),o=Rt(e),n=[];for(let a=0;a vec2 {\n let d0 = index / uniforms.outShapeStrides; let d1 = index - d0 * uniforms.outShapeStrides;\n return vec2(d0, d1);\n }`;let s;return s=\"var index2 = index;\"+t.map((a,i)=>{let p=`let ${n[i]} = index2 / uniforms.outShapeStrides.${Ao(i)}`,u=i===t.length-1?`let ${n[i+1]} = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}`:`index2 = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}`;return`${p}; ${u};`}).join(\"\"),`\n fn getCoordsFromIndex(index : i32) -> ${o} {\n ${s}\n return ${o}(${n.join(\",\")});\n }\n `}function Zee(r,e){let t=r.name,o=r.shape.length,n=Rt(o),s=\"get\"+t.charAt(0).toUpperCase()+t.slice(1),a=[\"d0\",\"d1\",\"d2\",\"d3\",\"d4\",\"d5\"].slice(0,o),i=a.map(c=>`${c} : i32`).join(\", \");if(o<1)return e?`\n fn ${s}() -> vec4 {\n return vec4(${t}[0]);\n }\n `:`\n fn ${s}() ->f32 {\n return f32(${t}[0]);\n }\n `;let p=`uniforms.${t.charAt(0).toLowerCase()+t.slice(1)}Shape`,u=`${o}D`;return o===0&&(u=\"1D\"),e?`\n fn ${s}(${i}) -> vec4 {\n return vec4(${t}[getIndexFromCoords${u}(${n}(${a.join(\",\")}),\n ${p}) / 4]);\n }\n `:`\n fn ${s}(${i}) -> f32 {\n return f32(${t}[getIndexFromCoords${u}(${n}(${a.join(\",\")}),\n ${p})]);\n }\n `}function Jee(r,e,t,o){let n=r.name,s=n.charAt(0).toUpperCase()+n.slice(1),a=\"get\"+s+\"ByOutput\",i=r.shape.length,p=e.length,u=Rt(p);if(y.arraysEqual(r.shape,e)&&o)return t?`\n fn ${a}Index(globalIndex : i32) -> vec4 {\n return vec4(${n}[globalIndex]);\n }\n\n fn ${a}Coords(coords : ${u}) -> vec4 {\n return vec4(${n}[${p>1?\"getOutputIndexFromCoords(coords)\":\"coords\"} / 4]);\n }\n `:`\n fn ${a}Index(globalIndex : i32) -> f32 {\n return f32(${n}[globalIndex]);\n }\n\n fn ${a}Coords(coords : ${u}) -> f32 {\n return f32(${n}[${p>1?\"getOutputIndexFromCoords(coords)\":\"coords\"}]);\n }\n `;let c=S.getBroadcastDims(r.shape,e),l=p-i,m=\"\";if(i===0)return t?`\n fn ${a}Index(globalIndex : i32) -> vec4 {\n return get${s}();\n }\n\n fn ${a}Coords(coords : ${u}) -> vec4 {\n return get${s}();\n }\n `:`\n fn ${a}Index(globalIndex : i32) -> f32{\n return get${s}();\n }\n\n fn ${a}Coords(coords : ${u}) -> f32{\n return get${s}();\n }\n `;p<2&&c.length>=1?m=\"coords = 0;\":m=c.map(g=>`coords.${Ao(g+l)} = 0;`).join(`\n`);let d=\"\";if(p<2&&i>0)d=\"coords\";else if(p>1){let g=Rt(i),x=r.shape.map((b,C)=>`coords.${Ao(C+l)}`).join(\", \");d=`${g}(${x})`}else d=\"coords\";let f=`uniforms.${n.charAt(0).toLowerCase()+n.slice(1)}Shape`,h=`${i}D`;return t?`\n fn ${a}Index(globalIndex : i32) -> vec4 {\n var coords = getCoordsFromIndex(globalIndex);\n ${m}\n return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4];\n }\n\n fn ${a}Coords(coordsIn : ${u}) -> vec4 {\n var coords = coordsIn;\n ${m}\n return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4];\n }\n `:`\n fn ${a}Index(globalIndex : i32) -> f32 {\n var coords = getCoordsFromIndex(globalIndex);\n ${m}\n return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]);\n }\n\n fn ${a}Coords(coordsIn : ${u}) -> f32 {\n var coords = coordsIn;\n ${m}\n return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]);\n }\n`}function ete(r,e,t,o){let n=Zee(r,t);return r.shape.length<=e.length&&(n+=Jee(r,e,t,o)),n}function tte(r,e){let{x:t,y:o=[],z:n=[]}=e,s=r.length,a=t.length+o.length+n.length;if(a!==s)return\"\";if(t.length===s)return`fn getOutputCoords() -> ${Rt(s)}{\n let globalIndex = getGlobalIndex();\n return getCoordsFromIndex(globalIndex);\n }\n `;let i=\"\",p=[t,o,n];for(let m=0;m ${c} {\n ${i}\n`;return u.length===0?l+=`return ${c}(0); }`:l+=`return ${c}(${u.join(\",\")}); }`,l}function rte(r){let e=\"\";switch(r){case 0:case 1:e+=`\n fn getOutputIndexFromCoords(coords : i32) -> i32 {\n return coords;\n }\n `;break;case 2:e+=`\n fn getOutputIndexFromCoords(coords : vec2) -> i32 {\n return dot(coords, vec2(uniforms.outShapeStrides, 1));\n }\n `;break;case 3:e+=`\n fn getOutputIndexFromCoords(coords : vec3) -> i32 {\n return dot(coords, vec3(uniforms.outShapeStrides.x, uniforms.outShapeStrides.y, 1));\n }\n `;break;case 4:e+=`\n fn getOutputIndexFromCoords(coords : vec4) -> i32 {\n return dot(coords, vec4(\n uniforms.outShapeStrides.x, uniforms.outShapeStrides.y, uniforms.outShapeStrides.z, 1));\n }\n `;break;case 5:e+=`\n fn getOutputIndexFromCoords(coords : vec5) -> i32 {\n return coords.x * uniforms.outShapeStrides.x +\n coords.y * uniforms.outShapeStrides.y +\n coords.z * uniforms.outShapeStrides.z +\n coords.w * uniforms.outShapeStrides.w +\n coords.u;\n }\n `;break;case 6:e+=`\n fn getOutputIndexFromCoords(coords : vec6) -> i32 {\n return coords.x * uniforms.outShapeStrides.x +\n coords.y * uniforms.outShapeStrides.y +\n coords.z * uniforms.outShapeStrides.z +\n coords.w * uniforms.outShapeStrides.w +\n coords.u * uniforms.outShapeStrides.u +\n coords.v;\n }\n `;break;default:y.assert(!1,()=>`Unsupported ${r}D shape`);break}return e}function B3(r){return r.dispatch[1]===1&&r.dispatch[2]===1}function vc(r,e){return r===\"float32\"?e?\"vec4\":\"f32\":r===\"int32\"||r===\"bool\"?e?\"vec4\":\"i32\":r}function ote(r,e,t){let o=r.length,n=vc(e,t),s;if(t?s=`fn setOutputAtIndex(flatIndex : i32, value : vec4) {\n result[flatIndex] = ${n}(value);\n }\n fn setOutputAtIndexI32(flatIndex : i32, value : vec4) {\n result[flatIndex] = ${n}(value);\n }`:s=`fn setOutputAtIndex(flatIndex : i32, value : f32) {\n result[flatIndex] = ${n}(value);\n }\n fn setOutputAtIndexI32(flatIndex : i32, value : i32) {\n result[flatIndex] = ${n}(value);\n }`,o>=2){let a=[\"d0\",\"d1\",\"d2\",\"d3\",\"d4\",\"d5\"].slice(0,o),i=Rt(o);t?s+=`\n fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(\", \")}, value : vec4) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndex(flatIndex / 4, value);\n }\n fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(\", \")}, value : vec4) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndexI32(flatIndex / 4, value);\n }\n `:s+=`\n fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(\", \")}, value : f32) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndex(flatIndex, value);\n }\n fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(\", \")}, value : i32) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndexI32(flatIndex, value);\n }\n `}return s}function nte(r){let e=/(\\w+)\\s*:\\s*vec(5|6)/g;r=r.replace(e,o=>\"@align(16) \"+o);let t=/vec(5|6)\\s*,\\s*(\\w+)/g;return r=r.replace(t,(o,n,s)=>`vec${n}, @align(16) ${s}`),r}function P3(r){return!(r.dispatchLayout.hasOwnProperty(\"y\")&&r.dispatchLayout.y.length!==0||r.dispatchLayout.hasOwnProperty(\"z\")&&r.dispatchLayout.z.length!==0)}var hI={};Ge(hI,{GPUBytesPerElement:()=>_g,MatMulProgramType:()=>Ro,assertNotComplex:()=>fI,computeDispatch:()=>Y,computeWorkPerThreadForConv2d:()=>Vl,computeWorkgroupInfoForMatMul:()=>dI,computeWorkgroupSizeForConv2d:()=>Bl,flatDispatchLayout:()=>ae,isWebGPUSupported:()=>zl,tilesFitEvenlyIntoShape:()=>ate});var Ku=r=>{let e=1;for(let t=0;tt%r[o]===0)}function Y(r,e,t=[1,1,1],o=[1,1,1]){let[n,s,a]=[Math.ceil(Ku(r.x.map(i=>e[i]))/(t[0]*o[0])),r.y?Math.ceil(Ku(r.y.map(i=>e[i]))/(t[1]*o[1])):1,r.z?Math.ceil(Ku(r.z.map(i=>e[i]))/(t[2]*o[2])):1];return[n,s,a]}function dI(r,e,t,o=!1){let n=[8,8,1],s=[4,4,1];return o||(r<=8&&(s[1]=1),e<=16&&t<=16&&(n[0]=4)),{workgroupSize:n,elementsPerThread:s}}function Bl(r,e,t=!1){if(t)return[8,8,1];let o=Ku(r.x.map(s=>e[s])),n=Ku(r.y.map(s=>e[s]));return o<=4?[4,16,1]:n<=4?[16,4,1]:[16,16,1]}function Vl(r,e,t=!1){if(t)return[4,4,1];let o=Ku(r.x.map(s=>e[s])),n=Ku(r.y.map(s=>e[s]));return o<=4?[1,2,1]:n<=4?[2,1,1]:[2,2,1]}function ae(r){return{x:r.map((e,t)=>t)}}function _g(r){if(r===\"float32\"||r===\"int32\"||r===\"bool\"||r===\"string\")return 4;if(r===\"complex64\")return 8;throw new Error(`Unknown dtype ${r}`)}function zl(){return(typeof window!=\"undefined\"||typeof WorkerGlobalScope!=\"undefined\")&&!!navigator.gpu}function fI(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the WebGPU backend.`)})}var Ro;(function(r){r[r.MatMulReduceProgram=0]=\"MatMulReduceProgram\",r[r.MatMulSplitKProgram=1]=\"MatMulSplitKProgram\",r[r.MatMulSmallOutputSizeProgram=2]=\"MatMulSmallOutputSizeProgram\",r[r.MatMulPackedProgram=3]=\"MatMulPackedProgram\",r[r.MatMulMax=4]=\"MatMulMax\"})(Ro||(Ro={}));var ite=O().getNumber(\"WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD\"),ute=(r,e)=>{let t=r.limits.maxComputeWorkgroupsPerDimension,o=e.dispatchLayout,n=e.dispatch;if(n.every(a=>a<=t))return n;y.assert(n[0]>t&&o.y===void 0&&o.z===void 0,()=>\"Dispatch size exceeds WebGPU limits in Y or Z dimension.\");let s=Math.ceil(Math.sqrt(n[0]));return s>t?(s=Math.ceil(Math.cbrt(n[0])),y.assert(s<=t,()=>\"Total dispatch size exceeds WebGPU maximum.\"),[s,s,s]):[s,s,1]},Gi=class extends Zr{constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!zl())throw new Error(\"WebGPU is not supported on this device\");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has(\"timestamp-query-inside-passes\"),this.adapterInfo=new kg(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new Ng(this.device),this.textureManager=new Tg(this.device),this.tensorMap=new Fo(this,sr()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:\"timestamp\",count:2})),O().getBool(\"WEBGPU_USE_PROFILE_TOOL\")&&(this.dummyCanvas=document.createElement(\"canvas\"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext(\"webgpu\"),this.dummyContext.configure({device:e,format:\"bgra8unorm\"}),document.body.appendChild(this.dummyCanvas))}nextDataId(){return Gi.nextDataId++}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let o=this.tensorMap.get(e);if(this.decRef(e),!t&&o.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if(\"texture\"in t.resourceInfo){let o=t.resourceInfo;o.texture instanceof GPUTexture&&this.textureManager.releaseTexture(o.texture,o.width,o.height,o.format,o.usage),o.texture=null}else{let o=t.resourceInfo;this.bufferManager.releaseBuffer(o.buffer,o.size,o.usage),o.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,o){if(o===\"complex64\"&&e!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:o,shape:t,values:e,refCount:1}),n}move(e,t,o,n,s){if(n===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.tensorMap.set(e,{dtype:n,shape:o,values:t,refCount:s})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseUploadBuffer(e.buffer,e.size,e.usage)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let o=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,o,0,t),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=o.getMappedRange().slice(0);return o.unmap(),o!=null&&this.bufferManager.releaseBuffer(o,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),O().getBool(\"WEBGPU_USE_PROFILE_TOOL\")&&(y.assert(this.dummyContext!==void 0,()=>\"Fail to get context for profiling tool\"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let o=this.tensorMap.get(e);return this.releaseResource(e),o.values=t,o.values}readSync(e){let t=this.tensorMap.get(e),{values:o}=t;if(o==null)throw new Error(\"WebGPU readSync is only available for CPU-resident tensors.\");return o}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:o}=t;if(o!=null)return this.convertAndCacheOnCPU(e,o);let n;if(t.dtype===\"complex64\"){let s=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),a=s[0],i=s[1];n=S.mergeRealAndImagArrays(a,i)}else{let s=t.resourceInfo,a=await this.getBufferData(s.buffer,s.size);n=y.convertBackendValuesAndArrayBuffer(a,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,o){let n=this.bufferManager.acquireBuffer(t,o);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,o){let n=e.buffer;if(o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. \");let s={id:this.nextDataId()};this.tensorMap.set(s,{dtype:o,shape:t,values:null,refCount:1,external:e.zeroCopy});let a=this.tensorMap.get(s),i=_g(a.dtype)*y.sizeFromShape(a.shape);if(e.buffer.sizey.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return le(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn(\"This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.\");let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),a=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},p=await Promise.all(s);return i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(\", \"),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,o){return t===\"string\"&&o!=null&&o.length>0&&y.isString(o[0])&&(o=o.map(s=>y.encodeString(s))),{dataId:this.write(o,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if(\"texture\"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let o=t.resourceInfo;return{offset:0,size:o.size,buffer:o.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let o=_g(t.dtype)*y.sizeFromShape(t.shape),n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage());if(t.resourceInfo={size:o,usage:this.defaultGpuBufferUsage(),buffer:n},t.values){let s=this.bufferManager.acquireUploadBuffer(o,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC),a=s.getMappedRange();t.dtype===\"int32\"||t.dtype===\"bool\"?new Int32Array(a).set(t.values):new Float32Array(a).set(t.values),s.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(s,0,n,0,o);let i={size:o,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:s};this.stagingPendingDisposal.push(i)}}makeUniforms(e){let t=0,o=0,n=[],s=1;e.forEach(u=>{u.data.length===0&&(u.data=[1]);let c;switch(u.data.length){case 1:c=4;break;case 2:c=8;break;case 3:c=16;break;case 4:c=16;break;case 5:c=16;break;case 6:c=16;break;default:y.assert(!1,()=>`Unsupported ${u.data.length}D shape`)}(o===5||o===6)&&(c=16),c>s&&(s=c),t=Math.ceil(t/c)*c,o=u.data.length,n.push(t),t+=u.data.length*4}),t=Math.ceil(t/s)*s;let a=new ArrayBuffer(t);e.forEach((u,c)=>{let l=n[c];u.type===\"int32\"?new Int32Array(a,l,u.data.length).set(u.data):u.type===\"uint32\"?new Uint32Array(a,l,u.data.length).set(u.data):new Float32Array(a,l,u.data.length).set(u.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,a,0,t);let p={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(p),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,o,n,s){if(s||(s=this.makeTensorInfo(e.outputShape,o)),y.sizeFromShape(s.shape)===0)return this.tensorMap.get(s.dataId).values=y.getTypedArrayFromDType(s.dtype,0),s;this.uploadToGPU(s.dataId),e.dispatch=ute(this.device,e);let a=[],i=[];if(!e.isFromPixels){a.push({type:\"float32\",data:[NaN]},{type:\"float32\",data:[1/0]}),i=t.concat(s).map(x=>x.shape);let h=\"int32\";i.map(x=>{a.push({type:h,data:x})});let g=y.computeStrides(s.shape);if(a.push({type:h,data:g}),e.size){let x=y.sizeFromShape(e.outputShape);a.push({type:h,data:[e.isVec4?x/4:x]})}}let p=t.map((h,g)=>{if(h.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");return this.uploadToGPU(h.dataId),{dtype:this.tensorMap.get(h.dataId).dtype,shape:h.shape,name:e.variableNames[g]}}),u=L3(e,i,p,s),c;u in this.pipelineCache?c=this.pipelineCache[u]:(c=M3(this.device,e,p,s),this.pipelineCache[u]=c),n&&(a=[...a,...n]);let l=[this.tensorToBinding(s),...t.map(h=>this.tensorToBinding(h)),this.makeUniforms(a)],m=this.device.createBindGroup({layout:c.getBindGroupLayout(0),entries:l.map((h,g)=>({binding:g,resource:h}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),f=this.activeTimers!=null;return f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(c),d.setBindGroup(0,m),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(h=>{this.commandQueueOwnedIds.add(h.dataId)}),this.commandQueueOwnedIds.add(s.dataId),O().get(\"WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE\")<=this.dispatchNumberInEncoder&&this.submitQueue(),f&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),s}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),o=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,o,0,16),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(o.getMappedRange()),s=Number(n[1]-n[0]);return o.unmap(),this.bufferManager.releaseBuffer(o,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),s/1e6}shouldExecuteOnCPU(e,t=ite){return O().getBool(\"WEBGPU_CPU_FORWARD\")&&e.every(o=>this.tensorMap.get(o.dataId).resourceInfo==null&&y.sizeFromShape(o.shape){O().set(\"CHECK_COMPUTATION_FOR_ERRORS\",!1);let r={powerPreference:O().get(\"WEBGPU_USE_LOW_POWER_GPU\")?\"low-power\":\"high-performance\"},e=await navigator.gpu.requestAdapter(r),t={};e.features.has(\"timestamp-query-inside-passes\")&&(t.requiredFeatures=[\"timestamp-query-inside-passes\"]);let o=e.limits;t.requiredLimits={maxComputeWorkgroupStorageSize:o.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:o.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:o.maxStorageBufferBindingSize};let n=await e.requestDevice(t),s=await e.requestAdapterInfo();return new Gi(n,s)},3);var ge;(function(r){r[r.ADD=0]=\"ADD\",r[r.ATAN2=1]=\"ATAN2\",r[r.COMPLEX_MULTIPLY_IMAG=2]=\"COMPLEX_MULTIPLY_IMAG\",r[r.COMPLEX_MULTIPLY_REAL=3]=\"COMPLEX_MULTIPLY_REAL\",r[r.DIV=4]=\"DIV\",r[r.EQUAL=5]=\"EQUAL\",r[r.GREATER=6]=\"GREATER\",r[r.GREATER_EQUAL=7]=\"GREATER_EQUAL\",r[r.INT_DIV=8]=\"INT_DIV\",r[r.LESS=9]=\"LESS\",r[r.LESS_EQUAL=10]=\"LESS_EQUAL\",r[r.LOGICAL_AND=11]=\"LOGICAL_AND\",r[r.LOGICAL_OR=12]=\"LOGICAL_OR\",r[r.MAX=13]=\"MAX\",r[r.MIN=14]=\"MIN\",r[r.MOD=15]=\"MOD\",r[r.MUL=16]=\"MUL\",r[r.NOT_EQUAL=17]=\"NOT_EQUAL\",r[r.POW=18]=\"POW\",r[r.PRELU=19]=\"PRELU\",r[r.SQUARED_DIFFERENCE=20]=\"SQUARED_DIFFERENCE\",r[r.SUB=21]=\"SUB\"})(ge||(ge={}));var V3=`\n if (isnan(a)) { return a; }\n if (isnan(b)) { return b; }\n `,$g=`\n resultTemp = select(\n resultTemp, vec4(valueForNaN),\n vec4(isNaN) | isnanVec4(a) | isnanVec4(b));\n `,pte=\"return a + b;\",cte=\"return areal * breal - aimag * bimag;\",lte=\"return areal * bimag + aimag * breal;\",mte=\"return a / b;\",dte=\"return f32(a == b);\",fte=\"return vec4(a == b);\",hte=\"return f32(a > b);\",gte=\"return vec4(a > b);\",xte=\"return f32(a >= b);\",yte=\"return vec4(a >= b);\",bte=`\n let s = sign(a) * sign(b);\n let ia = i32(round(a));\n let ib = i32(round(b));\n return f32(idiv(ia, ib, s));\n`,Cte=`\n let ia = vec4(round(a));\n let ib = vec4(round(b));\n let cond = ib != vec4(0);\n var resultTemp = vec4(0);\n let s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n resultTemp[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n resultTemp[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n resultTemp[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n resultTemp[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(resultTemp);\n`,Ste=\"return f32(a < b);\",wte=\"return vec4(a < b);\",Ite=\"return f32(a <= b);\",vte=\"return vec4(a <= b);\",kte=\"return f32(a >= 1.0 && b >= 1.0);\",Nte=`return (vec4(a >= vec4(1.0)) *\n vec4(b >= vec4(1.0)));`,Tte=\"return f32(a >= 1.0 || b >= 1.0);\",_te=`return min(vec4(a >= vec4(1.0)) +\n vec4(b >= vec4(1.0)), vec4(1.0));`,$te=`\n ${V3}\n if (b == 0.) {\n return uniforms.NAN;\n }\n var resultTemp = a % b;\n if ((a < 0. && b < 0.) || (a >= 0. && b > 0.)) {\n return resultTemp;\n } else {\n return (resultTemp + b) % b;\n }\n`,Ete=`\n let isNaN = !vec4(b);\n let valueForNaN = uniforms.NAN;\n var resultTemp = vec4(a % b);\n ${$g}\n\n if (!((a[0] < 0. && b[0] < 0.) || (a[0] >= 0. && b[0] > 0.))) {\n resultTemp[0] = (resultTemp[0] + b[0]) % b[0];\n }\n if (!((a[1] < 0. && b[1] < 0.) || (a[1] >= 0. && b[1] > 0.))) {\n resultTemp[1] = (resultTemp[1] + b[1]) % b[1];\n }\n if (!((a[2] < 0. && b[2] < 0.) || (a[2] >= 0. && b[2] > 0.))) {\n resultTemp[2] = (resultTemp[2] + b[2]) % b[2];\n }\n if (!((a[3] < 0. && b[3] < 0.) || (a[3] >= 0. && b[3] > 0.))) {\n resultTemp[3] = (resultTemp[3] + b[3]) % b[3];\n }\n\n return resultTemp;\n`,Ate=\"return a * b;\",Rte=`\n if (isnan(a) || isnan(b)) {\n return 1.0;\n }\n return f32(a != b);\n`,Dte=`\n var resultTemp = vec4(a != b);\n let valueForNaN = 1.0;\n ${$g}\n\n return resultTemp;\n`,Fte=`\n if(a < 0.0 && floor(b) < b) {\n return uniforms.NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n if (round(abs(b) % 2.0) != 1.0) {\n return pow(abs(a), b);\n }\n return sign(a) * pow(abs(a), b);\n`,Ote=`\n let isModRound1Bool = vec4(round(abs(b) % vec4(2.0))) == vec4(1);\n let isModRound1 = vec4(isModRound1Bool);\n let multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n var resultTemp = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n let isExpZero = b == vec4(0.0);\n if (isExpZero.r) {\n resultTemp.r = 1.0;\n }\n if (isExpZero.g) {\n resultTemp.g = 1.0;\n }\n if (isExpZero.b) {\n resultTemp.b = 1.0;\n }\n if (isExpZero.a) {\n resultTemp.a = 1.0;\n }\n let isNaN = (a < vec4(0.0)) & (floor(b) < b);\n let valueForNaN = uniforms.NAN;\n ${$g}\n return resultTemp;\n`,Pte=\"if (a < 0.0) { return b * a; } return a;\",Mte=`\n let aLessThanZero = vec4(a < vec4(0.0));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`,Lte=\"return (a - b) * (a - b);\",Bte=\"return a - b;\";function gI(r,e,t=\"uniforms.NAN\"){let o=e?$g:V3;return e?`\n let valueForNaN = ${t};\n var resultTemp = vec4(${r}(a, b));\n `+o+`\n return resultTemp;\n `:o+`\n return ${r}(a, b);\n `}function kc(r,e){switch(r){case ge.ADD:return pte;case ge.ATAN2:return gI(\"atan2\",e);case ge.COMPLEX_MULTIPLY_IMAG:return lte;case ge.COMPLEX_MULTIPLY_REAL:return cte;case ge.DIV:return mte;case ge.EQUAL:return e?fte:dte;case ge.GREATER:return e?gte:hte;case ge.GREATER_EQUAL:return e?yte:xte;case ge.INT_DIV:return e?Cte:bte;case ge.LESS:return e?wte:Ste;case ge.LESS_EQUAL:return e?vte:Ite;case ge.LOGICAL_AND:return e?Nte:kte;case ge.LOGICAL_OR:return e?_te:Tte;case ge.MAX:return gI(\"max\",e);case ge.MIN:return gI(\"min\",e);case ge.MOD:return e?Ete:$te;case ge.MUL:return Ate;case ge.NOT_EQUAL:return e?Dte:Rte;case ge.POW:return e?Ote:Fte;case ge.PRELU:return e?Mte:Pte;case ge.SQUARED_DIFFERENCE:return Lte;case ge.SUB:return Bte;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var X;(function(r){r[r.ABS=0]=\"ABS\",r[r.ACOS=1]=\"ACOS\",r[r.ACOSH=2]=\"ACOSH\",r[r.ASIN=3]=\"ASIN\",r[r.ASINH=4]=\"ASINH\",r[r.ATAN=5]=\"ATAN\",r[r.ATANH=6]=\"ATANH\",r[r.CEIL=7]=\"CEIL\",r[r.COS=8]=\"COS\",r[r.COSH=9]=\"COSH\",r[r.ELU=10]=\"ELU\",r[r.ERF=11]=\"ERF\",r[r.EXP=12]=\"EXP\",r[r.EXPM1=13]=\"EXPM1\",r[r.FLOOR=14]=\"FLOOR\",r[r.IS_FINITE=15]=\"IS_FINITE\",r[r.IS_INF=16]=\"IS_INF\",r[r.IS_NAN=17]=\"IS_NAN\",r[r.LINEAR=18]=\"LINEAR\",r[r.LOG=19]=\"LOG\",r[r.LOG1P=20]=\"LOG1P\",r[r.LOGICAL_NOT=21]=\"LOGICAL_NOT\",r[r.NEG=22]=\"NEG\",r[r.RELU=23]=\"RELU\",r[r.RELU6=24]=\"RELU6\",r[r.LEAKYRELU=25]=\"LEAKYRELU\",r[r.RECIPROCAL=26]=\"RECIPROCAL\",r[r.ROUND=27]=\"ROUND\",r[r.RSQRT=28]=\"RSQRT\",r[r.SELU=29]=\"SELU\",r[r.SIGMOID=30]=\"SIGMOID\",r[r.SIGN=31]=\"SIGN\",r[r.SIN=32]=\"SIN\",r[r.SINH=33]=\"SINH\",r[r.SOFTPLUS=34]=\"SOFTPLUS\",r[r.SQRT=35]=\"SQRT\",r[r.SQUARE=36]=\"SQUARE\",r[r.STEP=37]=\"STEP\",r[r.TAN=38]=\"TAN\",r[r.TANH=39]=\"TANH\",r[r.TO_INT=40]=\"TO_INT\"})(X||(X={}));var Vte=\"return abs(a);\",zte=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n return acos(a);\n`,Wte=`\n if (a < 1.) {\n return uniforms.NAN;\n }\n return acosh(a);\n`,Ute=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n return asin(a);\n`,Gte=\"return asinh(a);\",Hte=`\n if (isnan(a)) {\n return uniforms.NAN;\n }\n return atan(a);\n`,Kte=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n if (a == 1.) {\n return uniforms.INFINITY;\n }\n if (a == -1.) {\n return -uniforms.INFINITY;\n }\n return atanh(a);\n`,qte=\"return ceil(a);\",jte=\"return cos(a);\",Xte=`\n let e2x = exp(-a);\n return (e2x + 1.0 / e2x) / 2.0;\n`,Yte=\"return exp(a) - 1.0;\",Qte=\"if (a >= 0.0) { return a; } return (exp(a) - 1.0);\",Zte=`\n var resFloat = exp(a) - vec4(1.0);\n if (a.r >= 0.0) {\n resFloat.r = a.r;\n }\n if (a.g >= 0.0) {\n resFloat.g = a.g;\n }\n if (a.b >= 0.0) {\n resFloat.b = a.b;\n }\n if (a.a >= 0.0) {\n resFloat.a = a.a;\n }\n return resFloat;\n`,Jte=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n let p = ${S.ERF_P};\n let a1 = ${S.ERF_A1};\n let a2 = ${S.ERF_A2};\n let a3 = ${S.ERF_A3};\n let a4 = ${S.ERF_A4};\n let a5 = ${S.ERF_A5};\n\n let sign = sign(a);\n let absA = abs(a);\n let t = 1.0 / (1.0 + p * absA);\n return sign * (1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * exp(-absA * absA));\n`,ere=\"return exp(a);\",tre=\"return floor(a);\",rre=\"return f32(!isnan(a) && !isinf(a));\",ore=\"return f32(isinf(a));\",nre=\"return f32(isnan(a));\",sre=\"return a;\",are=`if (a < 0.0) { return uniforms.NAN; }\n return log(a);`,ire=`\n if (isnan(a)) { return a; }\n return log(1.0 + a);\n`,ure=\"return f32(!(a >= 1.0));\",pre=\"return -a;\",cre=\"if (a < 0.0) { return uniforms.alpha * a; } return a;\",lre=`\n let aLessThanZero = vec4(a < vec4(0.0));\n return (aLessThanZero * (uniforms.alpha * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`,mre=\"return 1.0 / a;\",dre=\"return select(a, 0.0, a < 0.0);\",fre=\"return clamp(a, 0.0, 6.0);\",hre=\"return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));\",gre=`\n return select(a, vec4(0.0), a < vec4(0.0));\n`,xre=\"return round(a);\",yre=\"return inverseSqrt(a);\",bre=`\n if (a >= 0.0) {\n return ${S.SELU_SCALE} * a;\n } else {\n return ${S.SELU_SCALEALPHA} * (exp(a) - 1.0);\n }\n`,Cre=\"return 1.0 / (1.0 + exp(-1.0 * a));\",Sre=\"return sign(a);\",wre=\"return sin(a);\",Ire=`\n let e2x = exp(a);\n return (e2x - 1.0 / e2x) / 2.0;\n`,vre=`\n let epsilon = 1.1920928955078125e-7;\n let threshold = log(epsilon) + 2.0;\n\n let too_large = a > -threshold;\n let too_small = a < threshold;\n let exp_a = exp(a);\n\n if (too_large) {\n return a;\n } else if (too_small) {\n return exp_a;\n } else {\n return log(exp_a + 1.0);\n }\n`,kre=\"return sqrt(a);\",Nre=\"return a * a;\",Tre=`\n if (isnan(a)) {\n return a;\n }\n\n return select(uniforms.stepAlpha, 1.0, a > 0.0);\n`,_re=\"return tan(a);\",$re=`\n let e2x = exp(-2.0 * abs(a));\n return sign(a) * (1.0 - e2x) / (1.0 + e2x);\n`,Ere=\"return f32(i32((a)));\";function ja(r,e){switch(r){case X.ABS:return Vte;case X.ACOS:return zte;case X.ACOSH:return Wte;case X.ASIN:return Ute;case X.ASINH:return Gte;case X.ATAN:return Hte;case X.ATANH:return Kte;case X.COS:return jte;case X.COSH:return Xte;case X.CEIL:return qte;case X.ELU:return e?Zte:Qte;case X.ERF:return Jte;case X.EXP:return ere;case X.EXPM1:return Yte;case X.FLOOR:return tre;case X.IS_FINITE:return rre;case X.IS_INF:return ore;case X.IS_NAN:return nre;case X.LINEAR:return sre;case X.LOG:return are;case X.LOG1P:return ire;case X.LOGICAL_NOT:return ure;case X.NEG:return pre;case X.LEAKYRELU:return e?lre:cre;case X.RECIPROCAL:return mre;case X.RELU:return e?gre:dre;case X.RELU6:return e?hre:fre;case X.ROUND:return xre;case X.RSQRT:return yre;case X.SELU:return bre;case X.SIGMOID:return Cre;case X.SIGN:return Sre;case X.SIN:return wre;case X.SINH:return Ire;case X.SOFTPLUS:return vre;case X.SQRT:return kre;case X.SQUARE:return Nre;case X.STEP:return Tre;case X.TAN:return _re;case X.TANH:return $re;case X.TO_INT:return Ere;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var kt=r=>{switch(r){case 1:return\"f32\";case 2:return\"vec2\";case 3:return\"vec3\";case 4:return\"vec4\";default:throw new Error(`${r}-component is not supported.`)}};function pr(r,e=!1,t=!1,o=3){if(r===null)return\"\";let n=\"\";if(r===\"linear\")n=ja(X.LINEAR);else if(r===\"relu\")n=ja(X.RELU,t);else if(r===\"elu\")n=ja(X.ELU,t);else if(r===\"relu6\")n=ja(X.RELU6,t);else if(r===\"prelu\")n=kc(ge.PRELU,t);else if(r===\"sigmoid\")n=ja(X.SIGMOID,t);else if(r===\"leakyrelu\")n=ja(X.LEAKYRELU,t);else throw new Error(`Activation ${r} has not been implemented for the WebGPU backend.`);let a=kt(t?4:1),i=\"\";return e?i=`\n fn activation(a : ${a}, coords : vec${o}) -> ${a} {\n let b = getPreluActivationWeightsByOutputCoords(coords);\n ${n}\n }`:i=`\n fn activation(a : ${a}, coords : vec${o}) -> ${a} {\n ${n}\n }`,i}function Gr(r,e){return`\n ${r?\"value = value + getBiasByOutputCoords(coords);\":\"\"}\n ${e?\"value = activation(value, coords);\":\"\"}\n `}function xI(r,e,t=!1,o=!1,n=!1,s=1){y.assert(r&&s===1||!r,()=>`transposeA ${r} is not compatible with component size ${s}`);let a=`\n ${r?\"value = getA(batch, col, row);\":\"value = getA(batch, row, col);\"}\n\n `,i=e?\"value = getB(batch, col, row);\":\"value = getB(batch, row, col);\";return`\n fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${kt(s)} {\n var value = ${kt(s)}(0.0);\n let col = colIn * ${s};\n ${t&&n?a:`\n ${r?\"if(row < uniforms.dimAOuter && col < uniforms.dimInner)\":\"if(row < uniforms.aShape[1] && col < uniforms.aShape[2])\"}\n {\n ${a}\n }\n `}\n return value;\n }\n\n fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${kt(s)} {\n let col = colIn * ${s};\n var value = ${kt(s)}(0.0);\n ${i}\n return value;\n }\n `}function Wl(r,e,t,o,n=!1,s=!1,a=!1,i=1){return`\n ${xI(t,o,n,s,a,i)}\n fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${kt(i)}) {\n let col = colIn * ${i};\n ${n&&s?\"\":\"if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)\"}\n {\n var value = valueIn;\n let coords = vec3(batch, row, col);\n ${Gr(r,e)}\n setOutputAtCoords(coords[0], coords[1], coords[2], value);\n }\n }\n `}var Are=(r,e)=>r?`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n kStart + inputRow,\n globalRowStart / ${e} + inputCol);\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n globalRow + innerRow,\n kStart / ${e} + inputCol);\n `,Rre=(r,e,t)=>r?`\n let ACached0 = mm_Asub[k * ${e}][localRow];\n let ACached1 = mm_Asub[k * ${e} + 1][localRow];\n let ACached2 = mm_Asub[k * ${e} + 2][localRow];\n ${e===3?\"\":`let ACached3 = mm_Asub[k * ${e} + 3][localRow];`}\n for (var i = 0; i < ${t}; i++) {\n acc[i] = BCached0 * ACached0[i] + acc[i];\n acc[i] = BCached1 * ACached1[i] + acc[i];\n acc[i] = BCached2 * ACached2[i] + acc[i];\n ${e===3?\"\":\"acc[i] = BCached3 * ACached3[i] + acc[i];\"}\n }`:`\n for (var i = 0; i < ${t}; i++) {\n let ACached = mm_Asub[tileRow + i][k];\n acc[i] = BCached0 * ACached.x + acc[i];\n acc[i] = BCached1 * ACached.y + acc[i];\n acc[i] = BCached2 * ACached.z + acc[i];\n ${e===3?\"\":\"acc[i] = BCached3 * ACached.w + acc[i];\"}\n }`;function qu(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=e[1]*r[1],u=e[0]*r[0],c=t?p:o,l=t?o:p,m=c/e[0],d=o/e[1],f=r[1];return y.assert((t&&m===4&&r[1]===4||!t&&(m===3||m===4))&&c%e[0]===0&&o%e[1]===0&&r[0]===4,()=>`If transposeA ${t} is true, innerElementSize ${m} and workPerThread[1] ${r[1]} must be 4.\n Otherwise, innerElementSize ${m} must be 3 or 4.\n tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`),`\n var mm_Asub : array, ${c/m}>, ${l}>;\n var mm_Bsub : array, ${u/r[0]}>, ${o}>;\n\n ${Q()} {\n let localRow = i32(localId.y);\n let tileRow = ${a?\"0\":`localRow * ${f}`};\n let tileCol = i32(localId.x);\n\n let globalRow = ${a?\"0\":`i32(globalId.y) * ${f}`};\n let globalCol = i32(globalId.x);\n let batch = ${n?\"0\":\"i32(globalId.z)\"};\n let batchA = ${n||!i?\"batch\":\"batch % uniforms.aShape[0]\"};\n let batchB = ${n||!i?\"batch\":\"batch % uniforms.bShape[0]\"};\n let globalRowStart = i32(workgroupId.y) * ${p};\n\n let numTiles = ${n?`${Math.ceil(s/o)}`:`(uniforms.dimInner - 1) / ${o} + 1`};\n var kStart = ${n?`i32(globalId.z) * ${s}`:\"0\"};\n\n var acc: array, ${f}>;\n\n // Loop over shared dimension.\n let tileRowB = localRow * ${d};\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${f}; innerRow++) {\n let inputRow = tileRow + innerRow;\n let inputCol = tileCol;\n ${Are(t,m)}\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${d}; innerRow++) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB, kStart + inputRow, globalCol);\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < ${o/m}; k++) {\n let BCached0 = mm_Bsub[k * ${m}][tileCol];\n let BCached1 = mm_Bsub[k * ${m} + 1][tileCol];\n let BCached2 = mm_Bsub[k * ${m} + 2][tileCol];\n ${m===3?\"\":`let BCached3 = mm_Bsub[k * ${m} + 3][tileCol];`}\n\n ${Rre(t,m,f)}\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < ${f}; innerRow++) {\n mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n }\n }`}var z3=r=>r?`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n kStart + inputRow,\n globalRowStart + inputCol);\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n globalRowStart + inputRow,\n kStart + inputCol);\n `,Dre=r=>r?\"let ACached = mm_Asub[k][tileRow + innerRow];\":\"let ACached = mm_Asub[tileRow + innerRow][k];\";function ju(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=r[1]*e[1],u=r[0]*e[0],c=t?p:o,l=t?o:p;y.assert(l%e[1]===0&&c%e[0]===0&&o%e[1]===0,()=>`tileAHight ${l} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}, tileInner ${o} must be divisible by workgroupSize[1]${e[1]}`);let m=l/e[1],d=c/e[0],f=o/e[1],h=r[1],g=r[0],x=a?`\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n let globalRowStart = i32(workgroupId.y) * ${p};\n let globalColStart = i32(workgroupId.x) * ${u};\n\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var inputRow = localRow; inputRow < ${l}; inputRow = inputRow + ${e[1]}) {\n for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) {\n ${z3(t)}\n }\n }\n // Load one tile of B into local memory.\n for (var inputRow = localRow; inputRow < ${o}; inputRow = inputRow + ${e[1]}) {\n for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${e[0]}) {\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB,\n kStart + inputRow,\n globalColStart + inputCol);\n }\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array;\n for (var k = 0; k < ${o}; k++) {\n for (var inner = 0; inner < ${g}; inner++) {\n BCached[inner] = mm_Bsub[k][localCol + inner * ${e[0]}];\n }\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n let ACached = ${t?`mm_Asub[k][localRow + innerRow * ${e[1]}];`:`mm_Asub[localRow + innerRow * ${e[1]}][k];`}\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] +\n ACached * BCached[innerCol];\n }\n }\n }\n workgroupBarrier();\n }\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n let gRow = globalRowStart + localRow + innerRow * ${e[1]};\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n let gCol = globalColStart + localCol + innerCol * ${e[0]};\n mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n }\n }\n `:`\n let tileRow = i32(localId.y) * ${h};\n let tileCol = i32(localId.x) * ${g};\n\n let globalRow = i32(globalId.y) * ${h};\n let globalCol = i32(globalId.x) * ${g};\n let globalRowStart = i32(workgroupId.y) * ${p};\n\n let tileRowA = i32(localId.y) * ${m};\n let tileColA = i32(localId.x) * ${d};\n let tileRowB = i32(localId.y) * ${f};\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${m}; innerRow++) {\n for (var innerCol = 0; innerCol < ${d}; innerCol++) {\n let inputRow = tileRowA + innerRow;\n let inputCol = tileColA + innerCol;\n ${z3(t)}\n }\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${f}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol + innerCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB,\n kStart + inputRow,\n globalCol + innerCol);\n }\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array;\n for (var k = 0; k < ${o}; k++) {\n for (var inner = 0; inner < ${g}; inner++) {\n BCached[inner] = mm_Bsub[k][tileCol + inner];\n }\n\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n ${Dre(t)}\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];\n }\n }\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n acc[innerRow][innerCol]);\n }\n }\n `;return`\n var mm_Asub : array, ${l}>;\n var mm_Bsub : array, ${o}>;\n\n ${Q()} {\n let batch = ${n?\"0\":\"i32(globalId.z)\"};\n let batchA = ${n||!i?\"batch\":\"batch % uniforms.aShape[0]\"};\n let batchB = ${n||!i?\"batch\":\"batch % uniforms.bShape[0]\"};\n let numTiles = ${n?`${Math.ceil(s/o)}`:`(uniforms.dimInner - 1) / ${o} + 1`};\n var kStart = ${n?`i32(globalId.z) * ${s}`:\"0\"};\n\n var acc : array, ${h}>;\n\n // Without this initialization strange values show up in acc.\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] = 0.0;\n }\n }\n ${x}\n }\n `}var Fre=r=>r?`\n mm_readA(batchA, colA, globalRow),\n mm_readA(batchA, colA + 1, globalRow),\n mm_readA(batchA, colA + 2, globalRow),\n mm_readA(batchA, colA + 3, globalRow)\n `:`\n mm_readA(batchA, globalRow, colA),\n mm_readA(batchA, globalRow, colA + 1),\n mm_readA(batchA, globalRow, colA + 2),\n mm_readA(batchA, globalRow, colA + 3)\n `;function Ore(r,e=!1){y.assert(r[1]===1&&r[2]===1,()=>`A linear work group size is required. But got ${r}.`);let t=r[0]*4;return`\n var mm_Asub : array, ${r[0]}>;\n\n ${Q()} {\n let tileCol = i32(localId.x);\n let globalCol = i32(globalId.x);\n let globalRow = i32(globalId.y);\n\n let numTiles = (uniforms.dimInner - 1) / ${t} + 1;\n let batch = i32(globalId.z);\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n // Without this initialization strange values show up in acc.\n var acc = 0.0;\n\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n let colA = t * ${t} + tileCol * 4;\n mm_Asub[tileCol] = vec4(${Fre(e)});\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < ${t/4}; k++) {\n let rowB = t * ${t} + k * 4;\n let BCached = vec4(mm_readB(batchB, rowB, globalCol),\n mm_readB(batchB, rowB + 1, globalCol),\n mm_readB(batchB, rowB + 2, globalCol),\n mm_readB(batchB, rowB + 3, globalCol));\n\n let ACached = mm_Asub[k];\n acc = acc + dot(ACached, BCached);\n }\n\n workgroupBarrier();\n }\n\n mm_write(batch, globalRow, globalCol, acc);\n }\n `}var Eg=class{constructor(e,t,o=!1,n=!1,s=null,a=null,i=null,p=!1){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let u=o?e[1]:e[2];if(this.isVec4=(u%4===0&&!o||t[1]%4===0&&o)&&t[2]%4===0&&!n,this.isVectorA=t[1]===1&&!o,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let m=dI(t[1],u,t[2],o);this.workgroupSize=m.workgroupSize,this.elementsPerThread=m.elementsPerThread}this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let c=s!=null,l=i!=null;c&&this.variableNames.push(\"bias\"),l&&this.variableNames.push(\"preluActivationWeights\"),this.sequentialAccessByThreads=p,this.transposeA=o,this.transposeB=n,this.addBias=c,this.activation=a,this.hasPreluActivationWeights=l,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],u),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${o}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,o){let n=this.workgroupSize[1]*this.elementsPerThread[1],s=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=s;let a=e%n===0,i=t%s===0,p=o%this.tileInner===0;return[a,i,p]}getUserCode(){return`\n ${pr(this.activation,this.hasPreluActivationWeights,this.isVec4)}\n ${Wl(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)}\n ${this.isVec4?qu(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.isVectorA,!0):this.isVectorA?Ore(this.workgroupSize,this.transposeA):ju(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)}\n `}};function Pre(r){return`\n var sumValues : array;\n ${Q()} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n let row = coords[1];\n let col = coords[2];\n var sum = 0.0;\n let Length = uniforms.dimInner;\n for (var k = i32(localId.x); k < Length; k = k + ${r}) {\n let dataA = mm_readA(batchA, row, k);\n let dataB = mm_readB(batchB, k, col);\n sum = sum + dataA * dataB;\n }\n sumValues[localId.x] = sum;\n workgroupBarrier();\n\n for(var currentSize = ${r/2}u; currentSize > 1u;\n currentSize = currentSize / 2u) {\n if (localId.x < currentSize)\n {\n sumValues[localId.x] = sumValues[localId.x] + sumValues[localId.x + currentSize];\n }\n workgroupBarrier();\n }\n\n if (localId.x == 0u) {\n sum = sumValues[0] + sumValues[1];\n mm_write(batch, row, col, sum);\n }\n }\n `}var Ag=class{constructor(e,t=!1,o=!1,n=null,s=null,a=null){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,p=a!=null;i&&this.variableNames.push(\"bias\"),p&&this.variableNames.push(\"preluActivationWeights\"),this.transposeA=t,this.transposeB=o,this.addBias=i,this.activation=s,this.hasPreluActivationWeights=p,this.shaderKey=`matMulReduce_${this.activation}_${t}_${o}`}getUserCode(){return`\n ${pr(this.activation,this.hasPreluActivationWeights)}\n ${Wl(this.addBias,this.activation,this.transposeA,this.transposeB)}\n ${Pre(this.workgroupSize[0])}\n `}};function Mre(r){let e=r[1],t=r[0],o=e>t?e:t;return`\n var mm_Asub : array, ${e}>;\n var mm_Bsub : array, ${o}>;\n\n // If the output size is small for matrix multiplication, avoid to use vec4\n // and handle some elements per thread to optimally utilize the ALU.\n // Read data from global memory to registers firstly, then store them into\n // shared memory, so it is instruction-Level parallelism for arithmetic\n // operations and others handle IO operations between barrier api, makes ALU\n // and load/store units work simultaneously, could improves the performance.\n ${Q()} {\n let tileRow = i32(localId.y);\n let tileCol = i32(localId.x);\n let globalRow = i32(globalId.y);\n let globalCol = i32(globalId.x);\n let batch = i32(globalId.z);\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n\n // uniforms.dimInner should be greater than 0.\n let numTiles = (uniforms.dimInner - 1) / ${o} + 1;\n var acc = 0.0;\n\n var globalColA = tileCol;\n var globalRowB = 0;\n var regA = mm_readA(batchA, globalRow, globalColA);\n var regB0 = mm_readB(batchB, globalRowB + 2 * tileRow, globalCol);\n var regB1 = mm_readB(batchB, globalRowB + 2 * tileRow + 1, globalCol);\n globalColA = globalColA + ${o};\n globalRowB = globalRowB + ${o};\n\n for (var t = 0; t < numTiles; t = t + 1) {\n mm_Asub[tileRow][tileCol] = regA;\n mm_Bsub[2 * tileRow][tileCol] = regB0;\n mm_Bsub[2 * tileRow + 1][tileCol] = regB1;\n\n workgroupBarrier();\n\n regA = mm_readA(batchA, globalRow, globalColA);\n regB0 = mm_readB(batchB, globalRowB + 2 * tileRow, globalCol);\n regB1 = mm_readB(batchB, globalRowB + 2 * tileRow + 1, globalCol);\n globalColA = globalColA + ${o};\n globalRowB = globalRowB + ${o};\n\n for (var k = 0; k < ${o}; k = k + 1) {\n acc = acc + mm_Asub[tileRow][k] * mm_Bsub[k][tileCol];\n }\n workgroupBarrier();\n }\n\n mm_write(batch, globalRow, globalCol, acc);\n }\n `}var Rg=class{constructor(e,t,o,n=!1,s=!1,a=null,i=null,p=null){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[16,8,1],this.outputShape=o,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(o[2]/this.workgroupSize[0]),Math.ceil(o[1]/this.workgroupSize[1]),o[0]];let u=a!=null;u&&this.variableNames.push(\"bias\");let c=p!=null;c&&this.variableNames.push(\"preluActivationWeights\"),this.transposeA=n,this.transposeB=s,this.addBias=u,this.activation=i,this.hasPreluActivationWeights=c,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${s}`}getUserCode(){return`\n ${pr(this.activation,this.hasPreluActivationWeights)}\n ${Wl(this.addBias,this.activation,this.transposeA,this.transposeB)}\n ${Mre(this.workgroupSize)}\n `}};var Dg=class{constructor(e,t,o=!1,n=!1){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[8,8,1],this.atomic=!0,this.isVec4=!1,this.splitedDimInner=128,y.assert(e[0]===1,()=>\"MatMulSplitKProgram only supports batch = 1.\"),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]},this.isVec4=(o&&this.outputShape[1]%4===0||!o&&t%4===0)&&this.outputShape[2]%4===0,this.elementsPerThread=[4,4,this.splitedDimInner],this.isVec4||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=Y(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=o,this.transposeB=n,this.shaderKey=`matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.isVec4}`}getUserCode(){let e=this.isVec4?4:1;return`\n ${xI(!1,this.transposeB,!1,!1,!1,e)}\n fn mm_write(batch: i32, row : i32, colIn : i32, value : ${kt(e)}) {\n let col = colIn * ${e};\n if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) {\n let coords = vec3(batch, row, col);\n let flatIndex = getOutputIndexFromCoords(coords);\n // The problem is that we should initialize output to zero before using.\n // Otherwise, the original value will be added to the result.\n for (var i = 0; i < ${e}; i = i + 1) {\n ${Ic(\"&result[flatIndex + i]\",`${e>1?\"value[i]\":\"value\"}`,\"float32\")}\n }\n }\n }\n ${this.isVec4?qu(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):ju(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)}\n `}},Fg=class{constructor(e,t=null,o=null,n=null){this.uniforms=\"\",this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=o,this.addBias&&this.variableNames.push(\"bias\"),this.hasPreluActivationWeights&&this.variableNames.push(\"preluActivationWeights\"),this.shaderKey=`biasActivation_${o}`}getUserCode(){return`\n ${pr(this.activation,this.hasPreluActivationWeights)}\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var value = getXByOutputIndex(index);\n ${Gr(this.addBias,this.activation)}\n setOutputAtIndex(index, value);\n }\n }\n `}};var Og=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms=\"value : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"fill\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n setOutputAtIndex(index, uniforms.value);\n }\n }\n `}};function fr(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s===\"string\"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Og(o),i=[{type:\"float32\",data:[n]}];return e.runWebGPUProgram(a,[],s,i)}}var W3={kernelName:ws,backendName:\"webgpu\",kernelFunc:fr};function me(r){let{inputs:e,attrs:t}=r,{x:o}=e,{shape:n}=t,s=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(n,s),i=y.sizeFromShape(a);return y.assert(s===i,()=>`The new shape (${a}) has ${i} elements and the old shape (${o.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var U3={kernelName:_s,backendName:\"webgpu\",kernelFunc:me};function Xu({a:r,b:e,transposeA:t,transposeB:o,backend:n,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:p=null}){let u=r.shape.length,c=e.shape.length,l=t?r.shape[u-2]:r.shape[u-1],m=o?e.shape[c-1]:e.shape[c-2],d=t?r.shape[u-1]:r.shape[u-2],f=o?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),w=yr.assertAndGetBroadcastShape(r.shape.slice(0,-2),e.shape.slice(0,-2)).concat([d,f]);y.assert(l===m,()=>`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=me({inputs:{x:r},backend:n,attrs:{shape:k}}),A=me({inputs:{x:e},backend:n,attrs:{shape:_}}),R=[E,A],D=Math.max(x,b),P=[E,A],M=[{type:\"int32\",data:[d]},{type:\"int32\",data:[f]},{type:\"int32\",data:[l]}],L,V,z=[D,d,f],U=O().get(\"WEBGPU_MATMUL_PROGRAM_TYPE\");if(U<0){let H=O().getNumber(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\"),q=H>0?H:n.thresholdToIncreaseWorkgroups,Z=D*Math.ceil(d/32)*Math.ceil(f/32);Z<=q||d<=8&&Z<=q*2?D*d*f<=128?U=Ro.MatMulReduceProgram:D===1&&m>=2e3?U=Ro.MatMulSplitKProgram:U=Ro.MatMulSmallOutputSizeProgram:U=Ro.MatMulPackedProgram}switch(U){case Ro.MatMulReduceProgram:L=new Ag(z,t,o,s,p,a);break;case Ro.MatMulSplitKProgram:{if(V=fr({backend:n,attrs:{shape:z,value:0,dtype:r.dtype}}),L=new Dg(z,m,t,o),s||p){V=n.runWebGPUProgram(L,P,r.dtype,M,V);let q=new Fg(V.shape,s,p,a),Z=null,ee=[V];s&&ee.push(s),a&&ee.push(a),p===\"leakyrelu\"&&(Z=[{type:\"float32\",data:[i]}],q.uniforms+=\" alpha : f32,\");let oe=n.runWebGPUProgram(q,ee,V.dtype,Z);R.push(V);let J=me({inputs:{x:oe},backend:n,attrs:{shape:w}});R.push(oe);for(let te of R)n.disposeData(te.dataId);return J}break}case Ro.MatMulSmallOutputSizeProgram:L=new Rg(k,_,z,t,o,s,p,a);break;case Ro.MatMulPackedProgram:let H=n.adapterInfo.isIntel();L=new Eg(k,z,t,o,s,p,a,H);break;default:throw new Error(`Unsupported MatMulProgramType ${U}.`)}s&&P.push(s),a&&P.push(a),p===\"leakyrelu\"&&(M.push({type:\"float32\",data:[i]}),L.uniforms+=\" alpha : f32,\"),V=n.runWebGPUProgram(L,P,r.dtype,M,V);let K=me({inputs:{x:V},backend:n,attrs:{shape:w}});R.push(V);for(let H of R)n.disposeData(H.dataId);return K}function Lre(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return Xu({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var G3={kernelName:ho,backendName:\"webgpu\",kernelFunc:Lre};var Ul=class{constructor(e,t,o){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=S.assertAndGetBroadcastShape(t,o),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return`\n fn binaryOpComplex(\n areal : f32, aimag : f32, breal : f32, bimag : f32) -> f32 {\n ${kc(this.op,!1)}\n }\n\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let areal = getARealByOutputIndex(index);\n let aimag = getAImagByOutputIndex(index);\n let breal = getBRealByOutputIndex(index);\n let bimag = getBImagByOutputIndex(index);\n setOutputAtIndex(index, binaryOpComplex(areal, aimag, breal, bimag));\n }\n }\n `}};var Yu=class{constructor(e,t,o){this.size=!0,this.variableNames=[\"A\",\"B\"],this.outputShape=S.assertAndGetBroadcastShape(t,o),this.dispatchLayout=ae(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&o.length>1&&t[0]<128,this.useSharedMemoryWithB=o.length<=1&&t.length>1&&o[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB?(this.isVec4=!1,this.lastDimensionSize=this.useSharedMemoryWithB?o[0]:t[0],this.shaderKey=`binary_${this.type}_${e}_${this.lastDimensionSize}_${this.useSharedMemoryWithB}`,this.type=\"shared\",this.workgroupSize=[256,1,1],this.workPerThread=1):(y.arraysEqual(t,o)&&y.sizeFromShape(t)%4===0?(this.isVec4=!0,this.type=\"vec4\",this.workPerThread=4):(this.isVec4=!1,this.type=\"plain\",this.workPerThread=1),this.shaderKey=`binary_${this.type}_${e}`,this.workgroupSize=[128,1,1]),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1])}getUserCode(){let e,t=this.isVec4?\"vec4\":\"f32\",o=`\n fn binaryOperation(a : ${t}, b : ${t}) -> ${t} {\n let isNaN = false;\n {\n ${kc(this.op,this.isVec4)}\n }\n };\n `;if(this.type===\"shared\"){let n=this.lastDimensionSize>1?`coords[${this.outputShape.length-1}]`:\"0\",s=this.useSharedMemoryWithB?`let a = getAByOutputIndex(index);\n let b = sharedBuf[${n}];`:`let a = sharedBuf[${n}];\n let b = getBByOutputIndex(index);`;e=`\n ${o}\n var sharedBuf : array;\n ${Q(\"index\")} {\n // Fill in the shared memory buffer.\n let localIndex = i32(localId.x);\n if(localIndex < ${this.lastDimensionSize}) {\n sharedBuf[localIndex] = f32(${this.useSharedMemoryWithB?\"B\":\"A\"}[localIndex]);\n }\n workgroupBarrier();\n\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n ${s}\n setOutputAtIndex(index, binaryOperation(a, b));\n }\n }\n `}else e=`\n ${o}\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let a = getAByOutputIndex(index);\n let b = getBByOutputIndex(index);\n setOutputAtIndex(index, binaryOperation(a, b));\n }\n }\n `;return e}};function Dt(r){let{inputs:e}=r,{x:t}=e;return r.backend.incRef(t.dataId),{dataId:t.dataId,shape:t.shape,dtype:t.dtype}}var H3={kernelName:mo,backendName:\"webgpu\",kernelFunc:Dt};function po(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,\"complex64\"),a=t.tensorMap.get(s.dataId),i=Dt({inputs:{x:o},backend:t}),p=Dt({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var K3={kernelName:ri,backendName:\"webgpu\",kernelFunc:po};var Hr=class{constructor(e,t,o=\"\"){this.variableNames=[\"A\"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,o!==\"\"&&(this.uniforms=o),this.shaderKey=`unary_${t}`}getUserCode(){return`\n fn unaryOperation(a : f32) -> f32 {\n ${ja(this.op,!1)}\n }\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let a = getAByOutputIndex(index);\n setOutputAtIndex(index, unaryOperation(a));\n }\n }\n `}};function xe({opType:r,cpuKernelImpl:e,dtype:t}){return({inputs:o,backend:n})=>{let{x:s}=o,a=n,i=t||s.dtype;if(a.shouldExecuteOnCPU([s])&&e!=null){let u=a.tensorMap.get(s.dataId),c=e(u.values,i);return a.makeTensorInfo(s.shape,i,c)}let p=new Hr(s.shape,r);return a.runWebGPUProgram(p,[s],i)}}function Ze({opType:r,cpuKernelImpl:e,supportsComplex:t=!1,dtype:o}){return({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(t&&a.dtype===\"complex64\"){let l=p.tensorMap.get(a.dataId),m=p.tensorMap.get(i.dataId),d,f;if(r!==ge.MUL)[d,f]=[[l.complexTensorInfos.real,m.complexTensorInfos.real],[l.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(g=>{let[x,b]=g,C={dataId:x.dataId,dtype:x.dtype,shape:a.shape},w={dataId:b.dataId,dtype:b.dtype,shape:i.shape},k=new Yu(r,a.shape,i.shape);return p.runWebGPUProgram(k,[C,w],dt(x.dtype,b.dtype))});else{let g=new Ul(ge.COMPLEX_MULTIPLY_REAL,a.shape,i.shape),x=new Ul(ge.COMPLEX_MULTIPLY_IMAG,a.shape,i.shape),b=[{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:m.complexTensorInfos.real.dataId,dtype:m.complexTensorInfos.real.dtype,shape:i.shape},{dataId:m.complexTensorInfos.imag.dataId,dtype:m.complexTensorInfos.imag.dtype,shape:i.shape}];d=p.runWebGPUProgram(g,b,\"float32\"),f=p.runWebGPUProgram(x,b,\"float32\")}let h=po({inputs:{real:d,imag:f},backend:p});return p.disposeData(d.dataId),p.disposeData(f.dataId),h}let u=o||dt(a.dtype,i.dtype);if((a.dtype===\"string\"||i.dtype===\"string\"||p.shouldExecuteOnCPU([a,i]))&&e!=null){let l=p.tensorMap.get(a.dataId).values,m=p.tensorMap.get(i.dataId).values,d=a.dtype===\"string\"?S.fromUint8ToStringArray(l):l,f=a.dtype===\"string\"?S.fromUint8ToStringArray(m):m,[h,g]=e(a.shape,i.shape,d,f,u);return p.makeTensorInfo(g,u,h)}let c=new Yu(r,a.shape,i.shape);return p.runWebGPUProgram(c,[a,i],u)}}var{addImpl:q3,castImpl:j3,ceilImpl:X3,concatImpl:Y3,equalImpl:Q3,expImpl:Z3,expm1Impl:J3,floorImpl:eM,gatherNdImpl:tM,gatherV2Impl:rM,greaterEqualImpl:oM,greaterImpl:nM,lessEqualImpl:sM,lessImpl:aM,logImpl:iM,maxImpl:uM,maximumImpl:pM,minimumImpl:cM,multiplyImpl:lM,negImpl:mM,notEqualImpl:dM,prodImpl:fM,rangeImpl:hM,rsqrtImpl:gM,scatterImpl:xM,simpleAbsImpl:yM,sliceImpl:bM,stridedSliceImpl:CM,stringNGramsImpl:SM,subImpl:wM,tileImpl:IM,topKImpl:vM,transposeImpl:kM,uniqueImpl:iTt}=Zp;var Bre=xe({opType:X.ABS,cpuKernelImpl:yM}),NM={kernelName:ys,backendName:\"webgpu\",kernelFunc:Bre};var Vre=xe({opType:X.ACOS}),TM={kernelName:aa,backendName:\"webgpu\",kernelFunc:Vre};var zre=xe({opType:X.ACOSH}),_M={kernelName:ia,backendName:\"webgpu\",kernelFunc:zre};var Wre=Ze({opType:ge.ADD,cpuKernelImpl:q3,supportsComplex:!0}),$M={kernelName:eo,backendName:\"webgpu\",kernelFunc:Wre};var Pg=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey=\"addN\"}getUserCode(){let e=[];this.variableNames.forEach(n=>{e.push(`let v${n} = get${n}ByOutputCoords(coords);`)});let t=this.variableNames.map(n=>`v${n}`).join(\" + \");return`\n ${Q(\"index\")} {\n for (var i = 0; i < ${this.workPerThread}; i = i + 1) {\n let flatIndex = index * ${this.workPerThread} + i;\n if (flatIndex < uniforms.size) {\n let coords = getCoordsFromIndex(flatIndex);\n ${e.join(`\n `)}\n setOutputAtIndex(flatIndex, ${t});\n }\n }\n }\n `}};function Ure(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return Dt({inputs:{x:o[0]},backend:t});let n=o.map(i=>i.dtype).reduce((i,p)=>dt(i,p)),s=o.map(i=>i.shape),a=new Pg(s);return t.runWebGPUProgram(a,o,n)}var EM={kernelName:Po,backendName:\"webgpu\",kernelFunc:Ure};var Mg=class{constructor(e,t){this.variableNames=[\"A\"],this.workgroupSize=[16,16,1];let o=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return`\n var tile : array, ${this.workgroupSize[0]}>;\n ${Q()} {\n var x = i32(workgroupId.x) * ${e} + i32(localId.x);\n var y = i32(workgroupId.y) * ${e} + i32(localId.y);\n let width = uniforms.outShape[0];\n let height = uniforms.outShape[1];\n if (x < width && y < height) {\n tile[localId.y][localId.x] = f32(A[y * width + x]);\n }\n workgroupBarrier();\n\n x = i32(workgroupId.y) * ${e} + i32(localId.x);\n y = i32(workgroupId.x) * ${e} + i32(localId.y);\n if (x < height && y < width) {\n setOutputAtIndex((y * height + x), tile[localId.x]\n [localId.y]);\n }\n }\n `}};var Lg=class{constructor(e,t){this.variableNames=[\"A\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=new Array(e);for(let o=0;o\"} bestValue)\n { bestValue = candidate; }`,t=\"f32(x[offset])\"):this.reduceType===\"sum\"||this.reduceType===\"mean\"?e=\" bestValue = bestValue + candidate; \":this.reduceType===\"prod\"?(e=\" bestValue = bestValue * candidate; \",t=\"1.0\"):this.reduceType===\"all\"?(e=\" bestValue = f32(bestValue >= 1.0 && candidate >= 1.0); \",t=\"1.0\"):this.reduceType===\"any\"&&(e=\" bestValue = f32(bestValue >= 1.0 || candidate >= 1.0); \",t=\"0.0\");let n=this.reduceType===\"mean\"?\"setOutputAtIndex(outputIndex, bestValue / f32(uniforms.reduceSize));\":\"setOutputAtIndex(outputIndex, bestValue);\";return`\n fn DIV_CEIL(a : u32, b : u32) -> u32 {\n return ((a - 1u) / b + 1u);\n }\n\n ${`\n var xBestValues : array;\n `}\n fn getOffset(outputIndex : i32) -> i32 {\n let outputCoords = getCoordsFromIndex(outputIndex);\n let offset = ${this.outputShape.length===1?\"outputCoords\":\"outputCoords[0]\"} * uniforms.reduceSize;\n return offset;\n }\n ${Q(\"index\")} {\n let outputIndex = index / ${o};\n let offset = getOffset(outputIndex);\n var bestValue = ${t};\n let Length = uniforms.reduceSize;\n let WorkPerThread = DIV_CEIL(u32(Length), ${o}u);\n for (var k = i32(localId.x); k < Length && outputIndex < uniforms.size;\n k = k + ${o}) {\n let candidate = f32(x[offset + k]);\n ${e}\n }\n xBestValues[localId.x] = bestValue;\n workgroupBarrier();\n\n var reduceSize = min(u32(Length), ${o}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (localId.x < currentSize) {\n let candidate = xBestValues[localId.x + interval];\n ${e}\n xBestValues[localId.x] = bestValue;\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (localId.x == 0u && outputIndex < uniforms.size) {\n ${n}\n }\n }\n `}};function Kr(r,e,t,o,n){let s=r.shape.length,a=[],i=y.parseAxisParam(e,r.shape),p=i,u=S.getAxesPermutation(p,s),c=r;u!=null&&(c=Nr({inputs:{x:r},attrs:{perm:u},backend:n}),p=S.getInnerMostAxes(p.length,s),a.push(c)),S.assertAxesAreInnerMostDims(o,p,s);let[l,m]=S.computeOutAndReduceShapes(c.shape,p),d=l;t&&(d=S.expandShapeToKeepDim(l,i));let f;if((o===\"max\"||o===\"prod\")&&n.shouldExecuteOnCPU([c])){let h=n.tensorMap.get(c.dataId).values;switch(o){case\"max\":let g=uM(h,y.sizeFromShape(m),d,r.dtype);f=n.makeTensorInfo(d,r.dtype,g);break;case\"prod\":let{outVals:x,outShape:b,outDtype:C}=fM(c.shape,c.dtype,h,p);f=n.makeTensorInfo(b,C,x);break;default:throw new Error(`${o} CPU implementation is not yet supported.`)}}else{let h=y.sizeFromShape(m),x=y.sizeFromShape(c.shape)/h,b={windowSize:h,inSize:h,batchSize:x,outSize:1},C=o===\"mean\"?\"float32\":Ta(r.dtype),w=[{type:\"int32\",data:[h]}],k=new Bg(b,o),_=n.runWebGPUProgram(k,[c],C,w);a.push(_),f=me({inputs:{x:_},attrs:{shape:d},backend:n})}return a.forEach(h=>n.disposeData(h.dataId)),f}function Hre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,\"all\",t)}var RM={kernelName:Mo,backendName:\"webgpu\",kernelFunc:Hre};function Kre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,\"any\",t)}var DM={kernelName:Lo,backendName:\"webgpu\",kernelFunc:Kre};var Nc=class{constructor(e,t,o){this.workgroupSize=[64,1,1],this.variableNames=[\"x\"],this.uniforms=\"infinityValue : f32,\",this.size=!0;let n=[t];this.op=o===\"min\"?\"<\":\">\";let[s,a]=S.computeOutAndReduceShapes(e,n);this.outputShape=s.length===0?[1]:s,this.dispatchLayout=ae(this.outputShape),y.sizeFromShape(a)<32||y.sizeFromShape(s)>1e3?(this.type=\"plain\",this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type=\"shared\",this.dispatch=Y(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?\"uniforms.xShape\":`uniforms.xShape.${Ao(this.inputShape.length-1)}`,o=()=>{let n=\"\";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+=\"outputCoords,\");else for(let s=0;s u32 {\n return ((a - 1u) / b + 1u);\n }\n\n ${`\n var xBestIndices : array;\n var xBestValues : array;\n `}\n\n ${Q(\"index\")} {\n let outputIndex = index / ${e};\n let reduceLength = ${t()};\n\n var bestIndex = i32(localId.x);\n var bestValue = uniforms.infinityValue;\n let outputCoords = getCoordsFromIndex(outputIndex);\n for (var k = i32(localId.x); k < reduceLength && outputIndex < uniforms.size;\n k = k + ${e}) {\n let candidate = getX(${o()} k);\n if (!isnan(candidate) && candidate ${this.op} bestValue) {\n bestValue = candidate;\n bestIndex = k;\n }\n }\n xBestValues[localId.x] = bestValue;\n xBestIndices[localId.x] = bestIndex;\n workgroupBarrier();\n\n var reduceSize = min(u32(reduceLength), ${e}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (localId.x < currentSize) {\n let candidate = xBestValues[localId.x + interval];\n if (candidate ${this.op} bestValue) {\n bestValue = candidate;\n xBestValues[localId.x] = bestValue;\n xBestIndices[localId.x] = xBestIndices[localId.x + interval];\n }\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (localId.x == 0u && outputIndex < uniforms.size) {\n setOutputAtIndexI32(outputIndex, xBestIndices[localId.x]);\n }\n }\n `:`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let outputCoords = getCoordsFromIndex(index);\n var bestIndex = 0;\n var bestValue = getX(${o()} 0);\n let reduceLength = ${t()};\n for (var i = 1; i < reduceLength; i++) {\n let candidate = getX(${o()} i);\n if (candidate ${this.op} bestValue) {\n bestValue = candidate;\n bestIndex = i;\n }\n }\n setOutputAtIndexI32(index, bestIndex);\n }\n }\n `}};function qre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=Nr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims(\"argMax\",[a[0]],p.shape.length);let c=new Nc(p.shape,a[0],\"max\"),l=[{type:\"float32\",data:[Number.NEGATIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],\"int32\",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var FM={kernelName:Bo,backendName:\"webgpu\",kernelFunc:qre};function jre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=Nr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims(\"argMin\",[a[0]],p.shape.length);let c=new Nc(p.shape,a[0],\"min\"),l=[{type:\"float32\",data:[Number.POSITIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],\"int32\",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var OM={kernelName:ei,backendName:\"webgpu\",kernelFunc:jre};var Xre=xe({opType:X.ASIN}),PM={kernelName:ua,backendName:\"webgpu\",kernelFunc:Xre};var Yre=xe({opType:X.ASINH}),MM={kernelName:pa,backendName:\"webgpu\",kernelFunc:Yre};var Qre=xe({opType:X.ATAN}),LM={kernelName:ca,backendName:\"webgpu\",kernelFunc:Qre};var Zre=Ze({opType:ge.ATAN2}),BM={kernelName:ma,backendName:\"webgpu\",kernelFunc:Zre};var Jre=xe({opType:X.ATANH}),VM={kernelName:la,backendName:\"webgpu\",kernelFunc:Jre};var Gl=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=\"stride : vec2, pad : vec2, dilation : vec2, convDims : vec2, filterDims : vec2,\",this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`pool2D_${t}`,this.poolType=t}getUserCode(){let e=\"resultValue = max(value, resultValue);\";this.poolType===\"avg\"&&(e=\"resultValue = resultValue + value; count = count + 1.0;\");let t=\"resultValue\";return this.poolType===\"avg\"&&(t=\"resultValue / max(count, 1.0)\"),`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let xRCCorner = vec2(coords.yz) * uniforms.stride - uniforms.pad;\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n\n var resultValue = ${this.poolType===\"avg\"?\"0.0\":\"-1.0 / pow(10.0, -20.0)\"};\n var count = 0.0;\n\n for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilation.x) {\n let xR = xRCorner + wR;\n\n if (xR < 0 || xR >= uniforms.convDims.x) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilation.y) {\n let xC = xCCorner + wC;\n if (xC < 0 || xC >= uniforms.convDims.y) {\n continue;\n }\n\n let value = getX(batch, xR, xC, coords[3]);\n ${e}\n }\n }\n\n setOutputAtIndex(index, ${t});\n }\n }\n `}};var Vg=class{constructor(e){this.variableNames=[\"x\"],this.uniforms=\"stride : vec2,\",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"poolWithFilterSizeEqualsOne\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n\n let xRCCorner = coords.yz * uniforms.stride;\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n\n let value = getX(batch, xRCorner, xCCorner, d);\n setOutputAtIndex(index, value);\n }\n }\n `}};function Hl(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o;return Kr(n,s,a,\"max\",t)}var zM={kernelName:yn,backendName:\"webgpu\",kernelFunc:Hl};function yI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,\"mean\",t)}var WM={kernelName:Sn,backendName:\"webgpu\",kernelFunc:yI};function zg(r,e,t,o){if(e.filterWidth===1&&e.filterHeight===1&&y.arraysEqual(e.inShape,e.outShape))return Dt({inputs:{x:r},backend:o});if(e.filterWidth===e.inWidth&&e.filterHeight===e.inHeight&&e.batchSize===1&&e.padInfo.type===\"VALID\"){let a=r.shape.length,i=me({inputs:{x:r},backend:o,attrs:{shape:[r.shape[a-3]*r.shape[a-2],r.shape[a-1]]}}),p;t===\"avg\"?p=yI({inputs:{x:i},backend:o,attrs:{axis:0,keepDims:!1}}):(y.assert(t===\"max\",()=>`Invalid pool type ${t}`),p=Hl({inputs:{x:i},backend:o,attrs:{reductionIndices:0,keepDims:!1}}));let u=me({inputs:{x:p},backend:o,attrs:{shape:e.outShape}});return o.disposeData(i.dataId),o.disposeData(p.dataId),u}let n,s=[{type:\"int32\",data:[e.strideHeight,e.strideWidth]}];return e.filterHeight===1&&e.filterWidth===1?n=new Vg(e):(t===\"avg\"?n=new Gl(e,\"avg\"):(y.assert(t===\"max\",()=>`Invalid pool type ${t}`),n=new Gl(e,\"max\")),s.push({type:\"int32\",data:[e.padInfo.top,e.padInfo.left]},{type:\"int32\",data:[e.dilationHeight,e.dilationWidth]},{type:\"int32\",data:[e.inHeight,e.inWidth]},{type:\"int32\",data:[e.effectiveFilterHeight,e.effectiveFilterWidth]})),o.runWebGPUProgram(n,[r],r.dtype,s)}function eoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=S.computePool2DInfo(n.shape,s,a,u,i,p);return zg(n,c,\"avg\",t)}var UM={kernelName:Vo,backendName:\"webgpu\",kernelFunc:eoe};var Wg=class{constructor(e){this.variableNames=[\"dy\"],this.uniforms=`stride : vec2, pads : vec2, dilation : vec2, filterDims : vec2,\n outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"avg_pool2d_backprop\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n\n let dyRCCorner = vec2(coords.yz) - uniforms.pads;\n let dyRCorner = dyRCCorner.x;\n let dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilation[0]) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.stride[0]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilation[1]) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.stride[1]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let dyValue = getDy(batch, idyR, idyC, d);\n\n dotProd = dotProd + dyValue * uniforms.avgMultiplier;\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function toe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;fI([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=new Wg(c),m=1/(c.filterHeight*c.filterWidth),d=[{type:\"int32\",data:[c.strideHeight,c.strideWidth]},{type:\"int32\",data:[c.effectiveFilterHeight-1-c.padInfo.top,c.effectiveFilterWidth-1-c.padInfo.left]},{type:\"int32\",data:[c.dilationHeight,c.dilationWidth]},{type:\"int32\",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]},{type:\"int32\",data:[c.outHeight]},{type:\"int32\",data:[c.outWidth]},{type:\"float32\",data:[m]}];return t.runWebGPUProgram(l,[n],a.dtype,d)}var GM={kernelName:mp,backendName:\"webgpu\",kernelFunc:toe};function roe(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return Xu({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var HM={kernelName:zo,backendName:\"webgpu\",kernelFunc:roe};var Ug=class{constructor(e,t){this.variableNames=[\"source\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${Rt(e.length)}, `,this.shaderKey=\"slice\"}getUserCode(){let e=Rt(this.rank),t=ooe(this.rank),o;return this.start.length===1?o=this.outputShape.map((s,a)=>\"sourceLoc = uniforms.start + coords;\"):o=this.outputShape.map((s,a)=>`sourceLoc.${bI[a]} = uniforms.start.${Ao(a)} + coords.${bI[a]};`),`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n var sourceLoc : ${e};\n let coords = getCoordsFromIndex(index);\n ${o.join(`\n`)}\n setOutputAtIndex(index, getSource(${t}));\n }\n }\n `}},bI=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function ooe(r){if(r===1)return\"sourceLoc\";if(r<=6)return bI.slice(0,r).map(e=>`sourceLoc.${e}`).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}function fs(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ut.parseSliceParams(n,s,a);if(ut.assertParamsValid(n,i,p),t.shouldExecuteOnCPU([n])||n.dtype===\"string\"){let l=t.tensorMap.get(n.dataId),m=bM(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}if(y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);let u=new Ug(i,p),c=[{type:\"int32\",data:i}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var KM={kernelName:Es,backendName:\"webgpu\",kernelFunc:fs};var noe=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet\");let i=s.reduce((b,C)=>b*C),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=[],f=me({inputs:{x:n},backend:t,attrs:{shape:p}}),h=Nr({inputs:{x:f},backend:t,attrs:{perm:u}}),g=me({inputs:{x:h},backend:t,attrs:{shape:c}}),x=fs({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeData(b.dataId)),x},qM={kernelName:bs,backendName:\"webgpu\",kernelFunc:noe};var soe=`\n fn bincount_write(index: i32, value: f32) {\n ${Ic(\"&result[index]\",\"value\",\"float32\")}\n }\n`,aoe=`\n fn bincount_write(index: i32, value: f32) {\n atomicStore(&result[index], bitcast(value));\n }\n`,Tc=class{constructor(e,t,o=!1){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"binCountSize : i32,\",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=o,o&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push(\"w\"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return`\n ${this.binaryOutput?aoe:soe}\n ${Q(\"index\")} {\n ${this.rank===1?`if (index < uniforms.xShape) {\n let indexVal = i32(getX(index));\n if (indexVal < uniforms.binCountSize) {\n let value = ${this.binaryOutput?1:this.hasWeights?\"getW(index)\":\"1.\"};\n bincount_write(indexVal, value);\n }\n }`:`let coord = getCoordsFromIndex(index);\n if (coordsInBounds2D(coord, uniforms.xShape)) {\n let indexVal = i32(getX(coord[0], coord[1]));\n if (indexVal < uniforms.binCountSize) {\n let value = ${this.binaryOutput?1:this.hasWeights?\"getW(coord[0], coord[1])\":\"1.\"};\n bincount_write(coord.x * uniforms.binCountSize + indexVal, value);\n }\n }`}\n }\n `}};function ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=y.sizeFromShape(n.shape),u=y.sizeFromShape(s.shape)>0,c=[a],l=s.dtype,m=fr({backend:t,attrs:{shape:c,value:0,dtype:l}}),d=new Tc([i],u),f=[{type:\"int32\",data:[a]}],h=u?[n,s]:[n];return t.runWebGPUProgram(d,h,l,f,m)}var jM={kernelName:ti,backendName:\"webgpu\",kernelFunc:ioe};var CI=Ze({opType:ge.NOT_EQUAL,dtype:\"bool\",cpuKernelImpl:dM}),XM={kernelName:Nn,backendName:\"webgpu\",kernelFunc:CI};function Xa(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.tensorMap.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.real},backend:t})}var YM={kernelName:di,backendName:\"webgpu\",kernelFunc:Xa};function QM(r,e){let t=new Hr(r.shape,X.TO_INT),o=e.runWebGPUProgram(t,[r],\"int32\");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function SI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return Dt({inputs:{x:n},backend:t});let a=Br(n.shape),i=SI({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),p=po({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeData(i.dataId),p}if(n.dtype===\"complex64\"){let a=Xa({inputs:{input:n},backend:t}),i=SI({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeData(a.dataId),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=Dt({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.tensorMap.get(n.dataId).values,[i,p,u]=j3(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s===\"int32\")return QM(n,t);if(s===\"bool\"){let a=t.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),p=CI({inputs:{a:n,b:a},backend:t});return t.disposeData(a.dataId),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var ZM={kernelName:co,backendName:\"webgpu\",kernelFunc:SI};var uoe=xe({opType:X.CEIL,cpuKernelImpl:X3}),JM={kernelName:Wo,backendName:\"webgpu\",kernelFunc:uoe};var Gg=class{constructor(e){this.variableNames=[\"A\"],this.uniforms=\"minVal : f32, maxVal : f32,\",this.workPerThread=4,this.workgroupSize=[64,1,1],this.isVec4=!0,this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey=\"clipVec4\"}getUserCode(){return`\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let value = getAByOutputIndex(index);\n var clampedValue = clamp(\n value, vec4(uniforms.minVal), vec4(uniforms.maxVal));\n clampedValue = select(clampedValue, value, isnanVec4(value));\n setOutputAtIndex(index, clampedValue);\n }\n }\n `}};var Hg=class{constructor(e){this.variableNames=[\"A\"],this.uniforms=\"minVal : f32, maxVal : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"clip\"}getUserCode(){return`\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let value = getAByOutputIndex(index);\n if (isnan(value)) {\n setOutputAtIndex(index, value);\n return;\n }\n setOutputAtIndex(index, clamp(value, uniforms.minVal, uniforms.maxVal));\n }\n }\n `}};function poe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i,p=[{type:\"float32\",data:[s]},{type:\"float32\",data:[a]}];return y.sizeFromShape(n.shape)%4===0?i=new Gg(n.shape):i=new Hg(n.shape),t.runWebGPUProgram(i,[n],n.dtype,p)}var eL={kernelName:lo,backendName:\"webgpu\",kernelFunc:poe};var Kg=class{constructor(e){this.uniforms=\"\",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=S.computeOutShape(e,1),this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push(\"if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }\");for(let s=1;sXa({inputs:{input:C},backend:t})),h=r.map(C=>Qu({inputs:{input:C},backend:t})),g=_c(f,e,t),x=_c(h,e,t),b=po({inputs:{real:g,imag:x},backend:t});return f.forEach(C=>t.disposeData(C.dataId)),h.forEach(C=>t.disposeData(C.dataId)),t.disposeData(g.dataId),t.disposeData(x.dataId),b}let n=t.shouldExecuteOnCPU(r);if(o===\"string\"&&(n=!0),n){let f=r.map(k=>{let E=[-1,y.sizeFromShape(k.shape.slice(e))];return me({inputs:{x:k},backend:t,attrs:{shape:E}})}),h=f.map(k=>({vals:t.readSync(k.dataId),shape:k.shape})),g=S.computeOutShape(f.map(k=>k.shape),1),x=f[0].shape[0]===1,b=Y3(h,g,o,x),C=S.computeOutShape(r.map(k=>k.shape),e),w=t.makeTensorInfo(C,o,b);return f.forEach(k=>t.disposeData(k.dataId)),w}let s=t.device.limits.maxStorageBuffersPerShaderStage-1;if(r.length>s){let f=[];for(let g=0;gf.shape),u=new Kg(p),c=[],l=new Array(p.length-1);if(l.length>0){l[0]=p[0][1],c.push({type:\"int32\",data:[l[0]]});for(let f=1;ft.disposeData(f.dataId));let d=me({inputs:{x:m},backend:t,attrs:{shape:i}});return t.disposeData(m.dataId),d}function coe(r,e,t){let o=S.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>me({inputs:{x:s},backend:t,attrs:{shape:[y.sizeFromShape(s.shape.slice(0,e)),y.sizeFromShape(s.shape.slice(e))]}})),outShape:o}}function wI(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?Dt({inputs:{x:p[0]},backend:t}):_c(p,s,t)}var rL={kernelName:Cs,backendName:\"webgpu\",kernelFunc:wI};function loe(r,e,t,o,n=!1,s=null,a=!1,i=4,p=4,u=4){let c=R=>{switch(R){case 1:return\"resData = x[xIndex];\";case 3:return\"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);\";case 4:return\"resData = x[xIndex / 4];\";default:throw new Error(`innerElementSize ${R} is not supported.`)}},l=R=>{switch(R){case 1:return\"return W[row * uniforms.wShape[3] + colIn];\";case 4:return\"return W[row * uniforms.wShape[3] / 4 + colIn];\";default:throw new Error(`innerElementSize ${R} is not supported.`)}},m=r?`\n let coord = vec4(batch, xRow, xCol, xCh);\n `:`\n let coord = vec4(batch, xCh, xRow, xCol);\n `,d=r?`\n let coords = vec4(\n batch,\n row / outWidth,\n row % outWidth,\n col);\n `:`\n let coords = vec4(\n batch,\n row,\n col / outWidth,\n col % outWidth);\n `,f=r?\"uniforms.xShape[1]\":\"uniforms.xShape[2]\",h=r?\"uniforms.xShape[2]\":\"uniforms.xShape[3]\",g=r?\"row\":\"col\",x=r?\"col\":\"row\",b=`\n let inChannels = uniforms.wShape[2];\n let outWidth = ${r?\"uniforms.outShape[2]\":\"uniforms.outShape[3]\"};\n let outRow = ${g} / outWidth;\n let outCol = ${g} % outWidth;\n\n let WRow = ${x} / (uniforms.filterDims[1] * inChannels);\n let WCol = ${x} / inChannels % uniforms.filterDims[1];\n let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];\n let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];\n let xCh = ${x} % inChannels;\n var resData = ${kt(i)}(0.0);\n // The bounds checking is always needed since we use it to pad zero for\n // the 'same' padding type.\n if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${h}) {\n ${m}\n let xIndex = getIndexFromCoords4D(coord, uniforms.xShape);\n ${c(i)}\n }\n return resData;`,C=r?e&&o?`\n let col = colIn * ${i};\n ${b}`:`\n let col = colIn * ${i};\n if (row < uniforms.dimAOuter && col < uniforms.dimInner) {\n ${b}\n }\n return ${kt(i)}(0.0);`:o&&t?`\n let col = colIn * ${i};\n ${b}`:`\n let col = colIn * ${i};\n if (row < uniforms.dimInner && col < uniforms.dimBOuter) {\n ${b}\n }\n return ${kt(i)}(0.0);`,w=`${l(p)}`,k=kt(u),_=r?kt(i):kt(p),E=r?kt(p):kt(i);return`\n ${pr(s,a,u===4,4)}\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${_} {\n ${r?C:w}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} {\n ${r?w:C}\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${k}) {\n let col = colIn * ${u};\n if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)\n {\n var value = valueIn;\n let outWidth = ${r?\"uniforms.outShape[2]\":\"uniforms.outShape[3]\"};\n ${d}\n ${Gr(n,s)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }`}var qg=class{constructor(e,t,o,n,s=!1,a=null,i=!1,p=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims : vec2, pad : vec2, stride : vec2, dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat===\"channelsLast\",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=Bl(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Vl(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableTypes=[\"f32\",\"vec4\"]):(this.innerElementSize=4,this.variableTypes=[\"vec4\",\"vec4\"]),s&&(this.variableNames.push(\"bias\"),this.variableTypes.push(\"vec4\")),i&&(this.variableNames.push(\"preluActivationWeights\"),this.variableTypes.push(\"vec4\"))):(this.innerElementSize=this.elementsPerThread[0],s&&this.variableNames.push(\"bias\"),i&&this.variableNames.push(\"preluActivationWeights\")),this.sequentialAccessByThreads=p,this.addBias=s,this.activation=a,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=o%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?qu(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):ju(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return`\n ${loe(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])}\n ${e}\n `}};var jg=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2,\",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat===\"channelsLast\",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=o,this.hasPreluActivationWeights=n,t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return`\n ${pr(this.activation,this.hasPreluActivationWeights,!1,4)}\n fn readInp(batch : i32, row : i32, col : i32, chan : i32) -> f32{\n let coords = vec4(batch, row, col, chan);\n if (coordsInBounds4D(coords, uniforms.xShape)) {\n return getX(batch, row, col, chan);\n } else {\n return 0.0;\n }\n }\n fn readFilt(row : i32, col : i32, xChannel : i32, outChannel : i32) -> f32{\n let coords = vec4(row, col, xChannel, outChannel);\n if(coordsInBounds4D(coords, uniforms.wShape)) {\n return getW(row, col, xChannel, outChannel);\n } else {\n return 0.0;\n }\n }\n fn writeResult(batch : i32, row : i32, col : i32, chan : i32, valueIn : f32) {\n let coords = ${this.isChannelsLast?\"vec4(batch, row, col, chan);\":\"vec4(batch, chan, row, col);\"}\n if (coordsInBounds4D(coords, uniforms.outShape)) {\n var value = valueIn;\n ${Gr(this.addBias,this.activation)}\n setOutputAtCoords(coords.x, coords.y, coords.z, coords.w, value);\n }\n }\n ${Q(\"index\")} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let outChannel = ${this.isChannelsLast?\"coords[3];\":\"coords[1];\"}\n let outRow = ${this.isChannelsLast?\"coords[1];\":\"coords[2];\"}\n let outCol = ${this.isChannelsLast?\"coords[2];\":\"coords[3];\"}\n var acc : f32 = 0.0;\n for (var row = 0; row < uniforms.filterDims[0]; row = row + 1) {\n for (var col = 0; col < uniforms.filterDims[1]; col = col + 1) {\n let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * row - uniforms.pad[0];\n let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * col - uniforms.pad[1];\n for (var xChannel = 0; xChannel < ${this.isChannelsLast?\"uniforms.xShape[3];\":\"uniforms.xShape[1];\"} xChannel = xChannel + 1) {\n ${this.isChannelsLast?\"let v = readInp(batch, xRow, xCol, xChannel);\":\"let v = readInp(batch, xChannel, xRow, xCol);\"}\n let f = readFilt(row, col, xChannel, outChannel);\n acc = acc + v * f;\n }\n }\n }\n writeResult(batch, outRow, outCol, outChannel, acc);\n }\n `}};var Xg=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=`pad : vec2, stride : vec2, dilation : vec2, outWidth : i32, itemsPerBlockRow : i32,\n inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?\"coords[1]\":\"coords[2]\",n=this.isChannelsLast?\"coords[2]\":\"coords[1]\",s=this.isChannelsLast?\"getX(batch, xRow, xCol, ch)\":\"getX(batch, ch, xRow, xCol)\";return`\n ${Q(\"index\")} {\n let coords = getCoordsFromIndex(index);\n if(index < uniforms.size) {\n let batch = coords[0];\n let row = ${o};\n let col = ${n};\n let offsetY = (row / uniforms.outWidth) * uniforms.stride[0] - uniforms.pad[0];\n let xRow = offsetY + uniforms.dilation[0] * (col / uniforms.itemsPerBlockRow);\n var value = 0.0;\n if(xRow < uniforms.xShape[${e}] && xRow >= 0) {\n let offsetX = (row % uniforms.outWidth) * uniforms.stride[1] -\n uniforms.pad[1];\n let xCol = offsetX + uniforms.dilation[1] * ((col %\n uniforms.itemsPerBlockRow) / uniforms.inChannels);\n let ch = col % uniforms.inChannels;\n if(xCol < uniforms.xShape[${t}] && xCol >= 0) {\n value = ${s};\n }\n }\n setOutputAtIndex(index, value);\n }\n }\n `}};function Yg(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function moe({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=t.dataFormat===\"channelsLast\",u=!p,c=!1,l=p&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type===\"VALID\",m=[],d,f;if(l){let x=t.inHeight*t.inWidth*t.inChannels;d=me({inputs:{x:r},backend:o,attrs:{shape:[1,t.batchSize,x]}}),f=me({inputs:{x:e},backend:o,attrs:{shape:[1,x,t.outChannels]}})}else d=me({inputs:{x:r},backend:o,attrs:{shape:p?[t.batchSize,t.inHeight*t.inWidth,t.inChannels]:[t.batchSize,t.inChannels,t.inHeight*t.inWidth]}}),f=me({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});if(m.push(d),m.push(f),s!=null){let x=Yg(s.shape,p);x!=null&&(s=me({inputs:{x:s},backend:o,attrs:{shape:x}}),m.push(s))}if(n!=null){let x=Yg(n.shape,p);x!=null&&(n=me({inputs:{x:n},backend:o,attrs:{shape:x}}),m.push(n))}let h=Xu({a:p?d:f,b:p?f:d,transposeA:u,transposeB:c,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),g=me({inputs:{x:h},backend:o,attrs:{shape:t.outShape}});m.push(h);for(let x of m)o.disposeData(x.dataId);return g}function doe({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,strideWidth:l,strideHeight:m,padInfo:d,outWidth:f,outHeight:h,dilationWidth:g,dilationHeight:x,dataFormat:b}=t,C=b===\"channelsLast\",w=p*u*c,k=h*f,_=C?[t.batchSize,k,w]:[t.batchSize,w,k],E=new Xg(_,C),A=[{type:\"int32\",data:[d.top,d.left]},{type:\"int32\",data:[m,l]},{type:\"int32\",data:[x,g]},{type:\"int32\",data:[f]},{type:\"int32\",data:[c*p]},{type:\"int32\",data:[c]}],R=o.runWebGPUProgram(E,[r],r.dtype,A),D=[];D.push(R);let P=me({inputs:{x:e},backend:o,attrs:{shape:[1,w,-1]}});if(D.push(P),s!=null){let U=Yg(s.shape,C);U!=null&&(s=me({inputs:{x:s},backend:o,attrs:{shape:U}}),D.push(s))}if(n!=null){let U=Yg(n.shape,C);U!=null&&(n=me({inputs:{x:n},backend:o,attrs:{shape:U}}),D.push(n))}let V=Xu({a:C?R:P,b:C?P:R,transposeA:!C,transposeB:!1,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),z=me({inputs:{x:V},backend:o,attrs:{shape:t.outShape}});D.push(V);for(let U of D)o.disposeData(U.dataId);return z}function Qg({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=n!=null,u=s!=null,c=t.dataFormat===\"channelsLast\",l=c&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type===\"VALID\",m=O().getBool(\"WEBGPU_USE_NAIVE_CONV2D_DEBUG\");if(!m&&(l||t.filterHeight===1&&t.filterWidth===1&&t.dilationHeight===1&&t.dilationWidth===1&&t.strideHeight===1&&t.strideWidth===1&&(t.padInfo.type===\"SAME\"||t.padInfo.type===\"VALID\")))return moe({x:r,filter:e,convInfo:t,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});let d=O().getNumber(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\"),f=d>0?d:o.thresholdToIncreaseWorkgroups,h=t.batchSize*Math.ceil(t.outHeight*t.outWidth/32)*Math.ceil(t.outChannels/32);if(O().getBool(\"WEBGPU_CONV_SEPARATE_IM2COL_SHADER\")||h<=f)return doe({x:r,filter:e,convInfo:t,backend:o,bias:n,preluActivationWeights:s,leakyreluAlpha:a,activation:i});let g,x=[t.padInfo.top,t.padInfo.left],b=[{type:\"int32\",data:[t.filterHeight,t.filterWidth]},{type:\"int32\",data:[...x]},{type:\"int32\",data:[t.strideHeight,t.strideWidth]},{type:\"int32\",data:[t.dilationHeight,t.dilationWidth]}];if(m)g=new jg(t,p,i,u);else{let _=c?t.outHeight*t.outWidth:t.outChannels,E=c?t.outChannels:t.outHeight*t.outWidth,A=t.filterHeight*t.filterWidth*t.inChannels;b.push({type:\"int32\",data:[_]},{type:\"int32\",data:[E]},{type:\"int32\",data:[A]});let R=o.adapterInfo.isIntel();g=new qg(t,_,E,A,p,i,u,R)}let C=[],w=[r,e];p&&(!c&&n.shape.length===1&&(n=me({inputs:{x:n},backend:o,attrs:{shape:[n.shape[0],1,1]}}),C.push(n)),w.push(n)),u&&(!c&&s.shape.length===1&&(s=me({inputs:{x:s},backend:o,attrs:{shape:[s.shape[0],1,1]}}),C.push(s)),w.push(s)),i===\"leakyrelu\"&&(b.push({type:\"float32\",data:[a]}),g.uniforms+=\" alpha : f32,\");let k=o.runWebGPUProgram(g,w,r.dtype,b);for(let _ of C)o.disposeData(_.dataId);return k}function foe(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=t,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l);return Qg({x:n,filter:s,convInfo:m,backend:o})}var oL={kernelName:Uo,backendName:\"webgpu\",kernelFunc:foe};var Zg=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.uniforms=\"filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat===\"channelsLast\",this.shaderKey=`conv2DDerInput_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?3:1;return`\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d1 = coords[${o}];\n\n let dyCorner = vec2(coords[${e}], coords[${t}]) - uniforms.pads;\n let dyRCorner = dyCorner.x;\n let dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) {\n let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.stride.x);\n let wRPerm = uniforms.filterDims.x - 1 - wR;\n if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || fract(dyR) > 0.0 ||\n wRPerm < 0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) {\n let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.stride.y);\n let wCPerm = uniforms.filterDims.y - 1 - wC;\n if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) ||\n fract(dyC) > 0.0 || wCPerm < 0) {\n continue;\n }\n let idyC = i32(dyC);\n\n for (var d2 = 0; d2 < uniforms.outBackprop[3]; d2 = d2 + 1) {\n if (${this.isChannelsLast}) {\n let xValue = getDy(batch, idyR, idyC, d2);\n let wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd = dotProd + xValue * wValue;\n } else {\n let xValue = getDy(batch, d2, idyR, idyC);\n let wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd = dotProd + xValue * wValue;\n }\n\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},Jg=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.uniforms=\"pad : vec2, stride : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat===\"channelsLast\",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return`\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let wR = coords[0];\n let wC = coords[1];\n let d1 = coords[2];\n let d2 = coords[3];\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var b = 0; b < uniforms.batchSize; b = b + 1) {\n for (var yR = 0; yR < uniforms.outHeight; yR = yR + 1) {\n let xR = wR + yR * uniforms.stride[0] - uniforms.pad[0];\n if (xR < 0 || xR >= uniforms.inHeight) {\n continue;\n }\n\n for (var yC = 0; yC < uniforms.outWidth; yC = yC + 1) {\n let xC = wC + yC * uniforms.stride[1] - uniforms.pad[1];\n\n if (xC < 0 || xC >= uniforms.inWidth) {\n continue;\n }\n\n if (${this.isChannelsLast}) {\n let dyValue = getDy(b, yR, yC, d2);\n let xValue = getX(b, xR, xC, d1);\n dotProd = dotProd + xValue * dyValue;\n } else {\n let dyValue = getDy(b, d2, yR, yC);\n let xValue = getX(b, d1, xR, xC);\n dotProd = dotProd + xValue * dyValue;\n }\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function hoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new Jg(m),f=[{type:\"int32\",data:[m.padInfo.top,m.padInfo.left]},{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.batchSize]},{type:\"int32\",data:[m.outHeight]},{type:\"int32\",data:[m.outWidth]},{type:\"int32\",data:[m.inHeight]},{type:\"int32\",data:[m.inWidth]}];return t.runWebGPUProgram(d,[n,s],n.dtype,f)}var nL={kernelName:oi,backendName:\"webgpu\",kernelFunc:hoe};function goe(r=4){let e=s=>{switch(s){case 1:return\"return W[getIndexFromCoords4D(coord, uniforms.wShape)];\";case 4:return`\n let coord1 = vec4(coordX, coordY, col + 1, rowInner);\n let coord2 = vec4(coordX, coordY, col + 2, rowInner);\n let coord3 = vec4(coordX, coordY, col + 3, rowInner);\n let v0 = W[getIndexFromCoords4D(coord, uniforms.wShape)];\n let v1 = W[getIndexFromCoords4D(coord1, uniforms.wShape)];\n let v2 = W[getIndexFromCoords4D(coord2, uniforms.wShape)];\n let v3 = W[getIndexFromCoords4D(coord3, uniforms.wShape)];\n return vec4(v0, v1, v2, v3);\n `;default:throw new Error(`innerElementSize ${s} is not supported.`)}},o=`if (row < uniforms.dimAOuter && col < uniforms.dimInner) {\n ${`\n let outRow = row / uniforms.outShape[2];\n let outCol = row % uniforms.outShape[2];\n\n let WRow = col / (uniforms.filterDims[1] * uniforms.outBackprop[3]);\n let WCol = col / uniforms.outBackprop[3] % uniforms.filterDims[1];\n let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.stride[0]);\n let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.stride[1]);\n if (xR < 0.0 || xR >= f32(uniforms.outBackprop[1]) || fract(xR) > 0.0) {\n return ${kt(r)}(0.0);\n }\n if (xC < 0.0 || xC >= f32(uniforms.outBackprop[2]) || fract(xC) > 0.0) {\n return ${kt(r)}(0.0);\n }\n let coord = vec4(\n batch,\n i32(xR),\n i32(xC),\n col % uniforms.outBackprop[3]);\n return x[getIndexFromCoords4D(coord, uniforms.xShape)/${r}];`}\n }\n return ${kt(r)}(0.0);`;return`\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${kt(r)} {\n let col = colIn * ${r};\n ${o}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${kt(r)} {\n let col = colIn * ${r};\n let coordX = uniforms.filterDims.x - 1 -\n row / (uniforms.filterDims[1] * uniforms.outBackprop[3]);\n let coordY = uniforms.filterDims.y - 1 -\n (row / uniforms.outBackprop[3]) % uniforms.filterDims[1];\n if (row < uniforms.dimInner && col < uniforms.dimBOuter &&\n coordX >= 0 && coordY >= 0) {\n let rowInner = row % uniforms.outBackprop[3];\n let coord = vec4(coordX, coordY, col, rowInner);\n ${e(r)}\n }\n return ${kt(r)}(0.0);\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${kt(r)}) {\n let col = colIn * ${r};\n if (row < uniforms.dimAOuter && (col + ${r-1}) < uniforms.dimBOuter) {\n var value = valueInput;\n let outCoord = vec4(\n batch,\n row / uniforms.outShape[2],\n row % uniforms.outShape[2],\n col);\n result[getIndexFromCoords4D(outCoord, uniforms.outShape)/${r}] = value;\n }\n }`}var ex=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=e.inShape,y.assert(e.dataFormat===\"channelsLast\",()=>\"TODO: NCHW is unimplemented\"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=Bl(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Vl(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.variableTypes=[\"vec4\",\"f32\"]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?qu(this.elementsPerThread,this.workgroupSize):ju(this.elementsPerThread,this.workgroupSize);return`\n ${goe(this.isVec4?4:1)}\n ${e}\n `}};function xoe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=[{type:\"int32\",data:[m.filterHeight,m.filterWidth]},{type:\"int32\",data:[m.filterHeight-1-m.padInfo.top,m.filterWidth-1-m.padInfo.left]},{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.batchSize,m.outHeight,m.outWidth,m.outChannels]}],f;if(O().getBool(\"WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE\")||m.filterHeight<=2&&m.filterWidth<=2&&m.outChannels<=16&&m.inChannels===1)f=new Zg(m);else{f=new ex(m);let h=m.inHeight*m.inWidth,g=m.inChannels,x=m.filterHeight*m.filterWidth*m.outChannels;d.push({type:\"uint32\",data:[h]},{type:\"uint32\",data:[g]},{type:\"uint32\",data:[x]})}return t.runWebGPUProgram(f,[n,s],\"float32\",d)}var sL={kernelName:Go,backendName:\"webgpu\",kernelFunc:xoe};var yoe=xe({opType:X.COS}),aL={kernelName:Ho,backendName:\"webgpu\",kernelFunc:yoe};var boe=xe({opType:X.COSH}),iL={kernelName:Ko,backendName:\"webgpu\",kernelFunc:boe};var tx=class{constructor(e,t,o,n){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.uniforms=\"extrapolationValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0;let[s]=t;this.outputShape=[s,o[0],o[1],e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n===\"bilinear\"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=[\"f32(uniforms.imageShape[1] - 1)\",\"f32(uniforms.imageShape[2] - 1)\"],[o,n,s]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,\"(y2-y1) * height_ratio\",`y1*${e} + f32(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${e}`],[a,i,p]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,\"(x2-x1) * width_ratio\",`x1*${t} + f32(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${t}`];return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let height_ratio = f32(${o});\n let width_ratio = f32(${a});\n let b = coords[0];\n let y = coords[1];\n let x = coords[2];\n let d = coords[3];\n // get box vals\n let y1 = getBoxes(b, 0);\n let x1 = getBoxes(b, 1);\n let y2 = getBoxes(b, 2);\n let x2 = getBoxes(b, 3);\n // get image in batch index\n let bInd = i32(round(getBoxInd(b)));\n if(bInd < 0 || bInd >= uniforms.outShape[0]) {\n return;\n }\n let height_scale = ${n};\n let width_scale = ${i};\n let in_y = ${s};\n if( in_y < 0.0 || in_y > ${e} ) {\n setOutputAtIndex(index, uniforms.extrapolationValue);\n return;\n }\n let in_x = ${p};\n if( in_x < 0.0 || in_x > ${t} ) {\n setOutputAtIndex(index, uniforms.extrapolationValue);\n return;\n }\n let sourceFracIndexCR = vec2(in_x,in_y);\n if(${this.methodId} == 1) {\n // Compute the four integer indices.\n let sourceFloorCR = vec2(sourceFracIndexCR);\n let sourceCeilCR = vec2(ceil(sourceFracIndexCR));\n let topLeft = getImage(bInd, sourceFloorCR.y, sourceFloorCR.x, d);\n let bottomLeft = getImage(bInd, sourceCeilCR.y, sourceFloorCR.x, d);\n let topRight = getImage(bInd, sourceFloorCR.y, sourceCeilCR.x, d);\n let bottomRight = getImage(bInd, sourceCeilCR.y, sourceCeilCR.x, d);\n let fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n let top = topLeft + (topRight - topLeft) * fracCR.x;\n let bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n let newValue = top + (bottom - top) * fracCR.y;\n setOutputAtIndex(index, newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n let sourceNearestCR = vec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n let newValue = getImage(\n bInd, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutputAtIndex(index, newValue);\n }\n }\n }\n `}};var Coe=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new tx(n.shape[3],s.shape,i,p),l=[{type:\"float32\",data:[u]}];return t.runWebGPUProgram(c,[n,s,a],\"float32\",l)},uL={kernelName:Xo,backendName:\"webgpu\",kernelFunc:Coe};var Zu;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Zu||(Zu={}));var Kl=class{constructor(e,t,o,n){this.variableNames=[\"x\"],this.uniforms=\"index : f32,\",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=o,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===Zu.Prod?\"1.0\":\"0.0\",o=this.exclusive?t:`getX(${pL(e,\"coords\",this.op)})`,n=this.outputShape[this.outputShape.length-1],s=\"\",a=\"\";return this.exclusive?(s=this.reverse?`end != ${n-1}`:\"end != 0\",a=this.reverse?\"end + 1\":\"end - 1\"):(s=this.reverse?`end + pow2 < ${n}`:\"end >= pow2\",a=this.reverse?\"end + pow2\":\"end - pow2\"),`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n var coords = getCoordsFromIndex(index);\n\n let end = ${cL(e,\"coords\",this.op)};\n var val = ${o};\n let pow2 = i32(pow(2.0, uniforms.index));\n if (${s}) {\n let idx = ${a};\n ${cL(e,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${pL(e,\"coords\",this.op)});\n }\n setOutputAtIndex(index, val);\n }\n }\n `}};function pL(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function cL(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function rx(r,e,t,o,n,s){let a=e.shape.length,i=S.getAxesPermutation([o],a),p=e;i!=null&&(p=Nr({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=S.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=Dt({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new Kl(r,p.shape,!1,s),f=l,h=[{type:\"float32\",data:[m]}];l=t.runWebGPUProgram(d,[l],l.dtype,h),t.disposeData(f.dataId)}if(n){let m=new Kl(r,p.shape,n,s),d=l,f=[{type:\"float32\",data:[0]}];l=t.runWebGPUProgram(m,[l],l.dtype,f),t.disposeData(d.dataId)}if(i!=null){let m=S.getUndoAxesPermutation(i),d=Nr({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeData(l.dataId),t.disposeData(p.dataId),d}return l}function Soe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return rx(Zu.Prod,n,t,s,a,i)}var lL={kernelName:qo,backendName:\"webgpu\",kernelFunc:Soe};function woe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return rx(Zu.Sum,n,t,s,a,i)}var mL={kernelName:jo,backendName:\"webgpu\",kernelFunc:woe};function Ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o,p=n.shape.length===1,c=y.sizeFromShape(s.shape)>0,l=s.dtype,m=p?[n.shape[0]]:[n.shape[0],n.shape[1]],d=p?[a]:[n.shape[0],a],f=fr({backend:t,attrs:{shape:d,value:0,dtype:l}}),h=new Tc(m,c,i),g=[{type:\"int32\",data:[a]}],x=c?[n,s]:[n];return t.runWebGPUProgram(h,x,l,g,f)}var dL={kernelName:ni,backendName:\"webgpu\",kernelFunc:Ioe};var ox=class{constructor(e,t){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms=\"blockSize : i32,\",this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let h = ${this.getHeightCoordString()};\n let w = ${this.getWidthCoordString()};\n let d = ${this.getDepthCoordString()};\n\n let in_h = h / uniforms.blockSize;\n let offset_h = h % uniforms.blockSize;\n let in_w = w / uniforms.blockSize;\n let offset_w = w % uniforms.blockSize;\n let offset_d = (offset_h * uniforms.blockSize + offset_w) *\n ${this.getOutputDepthSize()};\n let in_d = d + offset_d;\n\n let rlt = ${this.getInputSamplingString()};\n setOutputAtIndex(index, rlt);\n }\n }`}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?\"uniforms.outShape[3]\":\"uniforms.outShape[1]\"}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function voe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=[{type:\"int32\",data:[s]}],g=new ox(f,a);return t.runWebGPUProgram(g,[n],n.dtype,h)}var fL={kernelName:Yo,backendName:\"webgpu\",kernelFunc:voe};var nx=class{constructor(e,t,o,n=!1,s=null,a=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"pad : vec2, inDims : vec2,\",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push(\"bias\"),a&&this.variableNames.push(\"preluActivationWeights\"),this.addBias=n,this.activation=s,this.hasPreluActivation=a,this.filterHeight=t,this.filterWidth=o,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],o=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return`\n ${pr(this.activation,this.hasPreluActivation,!1,4)}\n\n var mm_Asub : array, ${o}>;\n var mm_Bsub : array, ${this.filterHeight}>;\n fn readX(batch : i32, channel : i32, row : i32, col : i32) -> f32 {\n var value = 0.0;\n if (row >=0 && row < uniforms.inDims[0] && col >=0 && col < uniforms.inDims[1])\n {\n value = getX(batch, channel, row, col);\n }\n return value;\n }\n\n ${Q()} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let xRCCorner = vec2(coords.zw) - uniforms.pad;\n let channelMul = uniforms.wShape[3];\n let d1 = coords[1] / channelMul;\n let q = coords[1] % channelMul;\n\n let inputRowStart = xRCCorner.x;\n let inputColStart = xRCCorner.y;\n\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n\n // Load one tile of X into local memory.\n for (var inputRow = localRow; inputRow < ${o}; inputRow = inputRow + ${this.workgroupSize[1]}) {\n for (var inputCol = localCol; inputCol < ${n}; inputCol = inputCol + ${this.workgroupSize[0]}) {\n let rowOffset = inputRow - localRow;\n let colOffset = inputCol - localCol;\n mm_Asub[inputRow][inputCol] = readX(batch, d1, inputRowStart + rowOffset, inputColStart + colOffset);\n }\n }\n\n // Load one tile of W into local memory.\n var wIndex = i32(localIndex);\n ${e, inDims : vec2,\",this.workgroupSize=[4,4,4],this.workPerThread=4,this.isVec4=!0,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),y.assert(e.dataFormat===\"channelsLast\",()=>\"TODO: NCHW is unimplemented\"),t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,o=this.convInfo.strideWidth;return`\n ${pr(this.activation,this.hasPreluActivation,!0,4)}\n fn readX(batch : i32, row : i32, col : i32, channel : i32) -> vec4 {\n var value = vec4(0.0);\n if (col >=0 && col < uniforms.inDims[1]) {\n value = getX(batch, row, col, channel);\n }\n return value;\n }\n\n ${Q()} {\n let batch = i32(globalId.z) / uniforms.outShape[1];\n let r = i32(globalId.z) % uniforms.outShape[1];\n let c = i32(globalId.y) * ${this.workPerThread};\n let d1 = i32(globalId.x) * 4;\n let xRCCorner = vec2(r, c) * vec2(${t}, ${o}) - uniforms.pad;\n\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n var xVals : array, ${e}>;\n var dotProd : array, ${this.workPerThread}>;\n for (var i = 0; i < ${this.workPerThread}; i++) {\n dotProd[i] = vec4(0.0);\n }\n\n // Use constant instead of uniform can give better performance.\n for (var wR = 0; wR < ${this.convInfo.filterHeight}; wR = wR + 1) {\n let xR = xRCorner + wR;\n if (xR >=0 && xR < uniforms.inDims[0]) {\n for (var i = 0; i < ${e}; i++) {\n xVals[i] = readX(batch, xR, xCCorner + i, d1);\n }\n for (var wC = 0; wC < ${this.convInfo.filterWidth}; wC = wC + 1) {\n let wValue = getW(wR, wC, d1, 0);\n for (var i = 0; i < ${this.workPerThread}; i++) {\n dotProd[i] = fma(xVals[i * ${o} + wC], wValue, dotProd[i]);\n }\n }\n }\n }\n\n for (var i = 0; i < ${this.workPerThread}; i = i + 1) {\n let coords = vec4(batch, r, c + i, d1);\n if (coordsInBounds4D(coords, uniforms.outShape)) {\n var value = dotProd[i];\n ${Gr(this.addBias,this.activation)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }\n }\n `}};var Ec=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=`pad : vec2, inDims : vec2, filterHeight : i32,\n filterWidth : i32, stride : vec2, dilation : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat===\"channelsLast\",t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?\"getX(batch, xR, xC, d1);\":\"getX(batch, d1, xR, xC);\";return`\n ${pr(this.activation,this.hasPreluActivation,!1,4)}\n\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let batch = coords[0];\n let xRCCorner = vec2(coords.${this.isChannelsLast?\"yz\":\"zw\"}) * uniforms.stride - uniforms.pad;\n let d2 = coords[${this.isChannelsLast?3:1}];\n let channelMul = uniforms.wShape[3];\n let d1 = d2 / channelMul;\n let q = d2 % channelMul;\n\n let inputRowStart = xRCCorner.x;\n let inputColStart = xRCCorner.y;\n let inputRowEnd = inputRowStart + uniforms.filterHeight *\n uniforms.dilation[0];\n let inputColEnd = inputColStart + uniforms.filterWidth *\n uniforms.dilation[1];\n\n // Convolve x(?, ?, d1)|x(d1, ?, ?) with w(:, :, d1, q) to get\n // y(yR, yC, d2)|y(d2, yR, yC). ? = to be determined. : = across all\n // values in that axis. x(?, ?, d1) and y(yR, yC, d2) is for NHWC.\n // x(d1, ?, ?) and y(d2, yR, yC) is for NCHW.\n var value = 0.0;\n\n // Extract if checking out of for loop for performance.\n if (inputRowStart >= 0 && inputColStart >= 0 &&\n inputRowEnd < uniforms.inDims[0] &&\n inputColEnd < uniforms.inDims[1]) {\n for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) {\n let xR = inputRowStart + wR * uniforms.dilation[0];\n\n for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) {\n let xC = inputColStart + wC * uniforms.dilation[1];\n\n let xVal = ${e};\n let wVal = getW(wR, wC, d1, q);\n value = value + xVal * wVal;\n }\n }\n } else {\n for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) {\n let xR = inputRowStart + wR * uniforms.dilation[0];\n\n if (xR < 0 || xR >= uniforms.inDims[0]) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) {\n let xC = inputColStart + wC * uniforms.dilation[1];\n\n if (xC < 0 || xC >= uniforms.inDims[1]) {\n continue;\n }\n\n let xVal = ${e};\n let wVal = getW(wR, wC, d1, q);\n value = value + xVal * wVal;\n }\n }\n }\n ${Gr(this.addBias,this.activation)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }\n `}};function koe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(p),m=u;m==null&&(m=[1,1]);let d=S.computeConv2DInfo(n.shape,s.shape,a,m,i,c,!0,l),f=[{type:\"int32\",data:[d.padInfo.top,d.padInfo.left]},{type:\"int32\",data:[d.inHeight,d.inWidth]}],h=d.dataFormat===\"channelsLast\",g;return!h&&d.inHeight>16&&d.inWidth>16&&d.strideHeight===1&&d.strideWidth===1&&d.dilationWidth===1&&d.dilationHeight===1&&d.inChannels===d.outChannels?g=new nx(d.outShape,d.filterHeight,d.filterWidth):h&&d.outHeight>4&&d.outWidth>4&&d.strideWidth<=2&&d.inChannels===d.outChannels&&d.dilationHeight===1&&d.dilationWidth===1&&d.inChannels%4===0?g=new $c(d):(g=new Ec(d),f.push({type:\"int32\",data:[d.filterHeight]},{type:\"int32\",data:[d.filterWidth]},{type:\"int32\",data:[d.strideHeight,d.strideWidth]},{type:\"int32\",data:[d.dilationHeight,d.dilationWidth]})),t.runWebGPUProgram(g,[n,s],n.dtype,f)}var hL={kernelName:Qo,backendName:\"webgpu\",kernelFunc:koe};var sx=class{constructor(e){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"diag\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let value = select(0.0, getX(coords[0]), coords[0] == coords[1]);\n setOutputAtIndex(index, value);\n }\n }\n `}};function Noe(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=me({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new sx(s),p=t.runWebGPUProgram(i,[a],a.dtype),u=me({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var gL={kernelName:si,backendName:\"webgpu\",kernelFunc:Noe};var ax=class{constructor(e){this.variableNames=[\"x\",\"w\"],this.uniforms=\"filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"dilation2d\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let neg_infinity = -3.4e38;\n let coords = getOutputCoords();\n let batch = coords.x;\n let d1 = coords.w;\n let outTopLeftCorner = coords.yz * uniforms.stride - uniforms.pad;\n let hBeg = outTopLeftCorner.x;\n let wBeg = outTopLeftCorner.y;\n\n var curVal = neg_infinity;\n for (var h = 0; h < uniforms.filterDims[0]; h = h + 1) {\n let hIn = hBeg + h * uniforms.dilation[0];\n\n if (hIn >= 0 && hIn < uniforms.xShape[1]) {\n for (var w = 0; w < uniforms.filterDims[1]; w = w + 1) {\n let wIn = wBeg + w * uniforms.dilation[1];\n\n if (wIn >= 0 && wIn < uniforms.xShape[2]) {\n let val = getX(batch, hIn, wIn, d1) + getW(h, w, d1);\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n setOutputAtIndex(index, curVal);\n }\n }\n `}};function Toe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeDilation2DInfo(n.shape,s.shape,a,i,\"NHWC\",p),c=[u.padInfo.top,u.padInfo.left],l=[{type:\"int32\",data:[u.filterHeight,u.filterWidth]},{type:\"int32\",data:[...c]},{type:\"int32\",data:[u.strideHeight,u.strideWidth]},{type:\"int32\",data:[u.dilationHeight,u.dilationWidth]}],m=new ax(u);return t.runWebGPUProgram(m,[n,s],n.dtype,l)}var xL={kernelName:ai,backendName:\"webgpu\",kernelFunc:Toe};var II=Ze({opType:ge.MUL,cpuKernelImpl:lM,supportsComplex:!0}),yL={kernelName:kn,backendName:\"webgpu\",kernelFunc:II};function ql(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,\"sum\",t)}var bL={kernelName:Kn,backendName:\"webgpu\",kernelFunc:ql};function _oe(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=S.decodeEinsumEquation(n,s.length);S.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=S.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=ql({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeData(h.dataId);return m}var CL={kernelName:ii,backendName:\"webgpu\",kernelFunc:_oe};var $oe=xe({opType:X.ELU}),SL={kernelName:Jo,backendName:\"webgpu\",kernelFunc:$oe};var Eoe=Ze({opType:ge.EQUAL,dtype:\"bool\",cpuKernelImpl:Q3}),wL={kernelName:en,backendName:\"webgpu\",kernelFunc:Eoe};var Aoe=xe({opType:X.ERF}),IL={kernelName:da,backendName:\"webgpu\",kernelFunc:Aoe};var vI=xe({opType:X.EXP,cpuKernelImpl:Z3,dtype:\"float32\"}),vL={kernelName:tn,backendName:\"webgpu\",kernelFunc:vI};function ix(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),me({inputs:{x:s},backend:o,attrs:{shape:i}})}var kL={kernelName:Ss,backendName:\"webgpu\",kernelFunc:ix};var Roe=xe({opType:X.EXPM1,cpuKernelImpl:J3}),NL={kernelName:fa,backendName:\"webgpu\",kernelFunc:Roe};var jl=class{constructor(e,t){this.variableNames=[\"real\",\"imag\"],this.outputShape=[],this.uniforms=\"exponentMultiplier : f32, denominator: f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return`\n fn unaryOpComplex(real: f32, expR: f32, imag: f32, expI: f32) -> f32 {\n ${this.component===\"real\"?\"return real * expR - imag * expI;\":\"return real * expI + imag * expR;\"}\n }\n\n fn mulMatDFT(batch: i32, index: i32) -> f32 {\n let indexRatio = f32(index) / f32(uniforms.realShape[1]);\n let exponentMultiplierTimesIndexRatio =\n uniforms.exponentMultiplier * indexRatio;\n\n var result = 0.0;\n\n for (var i = 0; i < uniforms.realShape[1]; i = i + 1) {\n // x = (-2|2 * PI / N) * index * i;\n let x = exponentMultiplierTimesIndexRatio * f32(i);\n let expR = cos(x);\n let expI = sin(x);\n let real = getReal(batch, i);\n let imag = getImag(batch, i);\n\n result = result +\n unaryOpComplex(real, expR, imag, expI) / uniforms.denominator;\n }\n\n return result;\n }\n\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n setOutputAtIndex(index, mulMatDFT(coords[0], coords[1]));\n }\n }\n `}};function ux(r,e,t){let o=t.tensorMap.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=[],p=me({inputs:{x:r},backend:t,attrs:{shape:[a,s]}});i.push(p);let u=p.shape,c=new jl(\"real\",u),l=new jl(\"imag\",u),m=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:u},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:u}],d=e?2*Math.PI:-2*Math.PI,f=e?u[1]:1,h=[{type:\"float32\",data:[d]},{type:\"float32\",data:[f]}],g=t.runWebGPUProgram(c,m,\"float32\",h);i.push(g);let x=t.runWebGPUProgram(l,m,\"float32\",h);i.push(x);let b=po({inputs:{real:g,imag:x},backend:t});i.push(b);let C=me({inputs:{x:b},backend:t,attrs:{shape:r.shape}});return i.forEach(w=>t.disposeData(w.dataId)),C}function Doe(r){let{inputs:e,backend:t}=r,{input:o}=e;return ux(o,!1,t)}var TL={kernelName:ui,backendName:\"webgpu\",kernelFunc:Doe};var px=class{constructor(e){this.outputShape=[],this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"flipLeftRight\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let coordX = uniforms.xShape[2] - coords[2] - 1;\n let outputValue = getX(coords[0], coords[1], coordX, coords[3]);\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};var _L={kernelName:rn,backendName:\"webgpu\",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new px(t.shape);return o.runWebGPUProgram(n,[t],t.dtype)}};var Foe=xe({opType:X.FLOOR,cpuKernelImpl:eM}),$L={kernelName:on,backendName:\"webgpu\",kernelFunc:Foe};var Ooe=Ze({opType:ge.INT_DIV,dtype:\"int32\"}),EL={kernelName:nn,backendName:\"webgpu\",kernelFunc:Ooe};var cx=class{constructor(e,t,o=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=o,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?\"textureLoad(src, vec2(coords.yx));\":\"textureLoad(src, vec2(coords.yx), 0)\";return`\n @binding(1) @group(0) var src: ${this.importVideo?\"texture_external\":\"texture_2d\"};\n ${Q(\"index\")} {\n let flatIndex = index * uniforms.numChannels;\n if (flatIndex < uniforms.size) {\n let coords = getCoordsFromIndex(flatIndex);\n let values = ${e};\n for (var i = 0; i < uniforms.numChannels; i = i + 1) {\n result[flatIndex + i] = i32(floor(255.0 * values[i]));\n }\n }\n }\n `}};var AL={kernelName:Zi,backendName:\"webgpu\",kernelFunc:Poe},Ac,kI=O().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\"),lx=new Map;function Poe(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o;if(n==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let a=typeof HTMLVideoElement!=\"undefined\"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!=\"undefined\"&&n instanceof HTMLImageElement,p=typeof HTMLCanvasElement!=\"undefined\"&&n instanceof HTMLCanvasElement||typeof OffscreenCanvas!=\"undefined\"&&n instanceof OffscreenCanvas,u=typeof ImageBitmap!=\"undefined\"&&n instanceof ImageBitmap,[c,l]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],m=[l,c,s],d=!1,f=a||i;if(u||p||f){let b;if(d){let D=n;if(!lx.has(D)||lx.get(D).expired){let P={source:D};lx.set(D,t.device.importExternalTexture(P))}b={width:c,height:l,format:null,usage:null,texture:lx.get(D)}}else{if(f){let L=O().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Ac==null||L!==kI)&&(kI=L,Ac=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:kI})),Ac.canvas.width=c,Ac.canvas.height=l,Ac.drawImage(n,0,0,c,l),n=Ac.canvas}let D=GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING,P=\"rgba8unorm\",M=t.textureManager.acquireTexture(m[1],m[0],P,D);t.queue.copyExternalImageToTexture({source:n},{texture:M},[m[1],m[0]]),b={width:c,height:l,format:P,usage:D,texture:M}}let C=y.sizeFromShape(m),w=y.computeStrides(m),k=new cx(m,s,d),_=[{type:\"uint32\",data:[C]},{type:\"uint32\",data:[s]},{type:\"uint32\",data:[...w]}],E=t.makeTensorInfo([l,c],\"int32\"),A=t.tensorMap.get(E.dataId);A.resourceInfo=b;let R=t.runWebGPUProgram(k,[E],\"int32\",_);return t.disposeData(E.dataId),R}let h=n.data,g=h;if(s!=null&&s!==4){g=new Uint8Array(n.width*n.height*s);let b=h.length,C=0;for(let w=0;w(xValue, -meanValue, offsetValue), vec3(inv, inv, 1.0)));\n }\n }\n `}};var RL={kernelName:sn,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o,scale:n,offset:s,mean:a,variance:i}=r,{varianceEpsilon:p}=e,u=t,c=[o,a,i],l=null;s!=null&&(l=s.shape,c.push(s));let m=null;n!=null&&(m=n.shape,c.push(n));let d=new mx(o.shape,a.shape,i.shape,l,m),f=[{type:\"float32\",data:[p]}];return u.runWebGPUProgram(d,c,o.dtype,f)}};function Moe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h);return Qg({x:n,filter:s,convInfo:g,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:f,activation:d})}var DL={kernelName:go,backendName:\"webgpu\",kernelFunc:Moe};function Loe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=c;f==null&&(f=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(p,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`);let h=S.computeConv2DInfo(n.shape,s.shape,p,f,u,l,!0),g=[n,s],x=a!=null,b=i!=null;x&&g.push(a),b&&g.push(i);let C=[{type:\"int32\",data:[h.padInfo.top,h.padInfo.left]},{type:\"int32\",data:[h.inHeight,h.inWidth]}],w;return h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?w=new $c(h,x,m,b):(w=new Ec(h,x,m,b),C.push({type:\"int32\",data:[h.filterHeight]},{type:\"int32\",data:[h.filterWidth]},{type:\"int32\",data:[h.strideHeight,h.strideWidth]},{type:\"int32\",data:[h.dilationHeight,h.dilationWidth]})),m===\"leakyrelu\"&&(C.push({type:\"float32\",data:[d]}),w.uniforms+=\" alpha : f32,\"),t.runWebGPUProgram(w,g,\"float32\",C)}var FL={kernelName:xo,backendName:\"webgpu\",kernelFunc:Loe};var dx=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${Rt(e)},`}getUserCode(){let e;return this.sliceDim>1?e=\"uniforms.strides[j]\":e=\"uniforms.strides\",`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var flattenIndex = 0;\n for (var j = 0; j < uniforms.sliceDim; j = j + 1) {\n let indexTemp = i32(round(getIndices(coords[0], j)));\n let strideNum = ${e};\n flattenIndex = flattenIndex + indexTemp * strideNum;\n }\n\n setOutputAtIndex(index, getA(flattenIndex, coords[1]));\n }\n }\n `}};function Boe(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=S.prepareAndValidate(o,n),m=me({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=me({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype===\"string\"){let b=t.readSync(n.dataId),C=t.bufferSync(o),w=tM(b,C,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,w.values)}let f=new dx(a,[u,c]),h=[{type:\"int32\",data:[a]},{type:\"int32\",data:l}],g=t.runWebGPUProgram(f,[d,m],d.dtype,h),x=me({inputs:{x:g},backend:t,attrs:{shape:p}});return t.disposeData(m.dataId),t.disposeData(d.dataId),t.disposeData(g.dataId),x}var OL={kernelName:an,backendName:\"webgpu\",kernelFunc:Boe};var fx=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"gather\"}getUserCode(){let e=Voe(this.aShape);return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let resRC = getCoordsFromIndex(index);\n let indexZ = i32(getIndices(resRC.x, resRC.z));\n let inBounds = select(0.0, 1.0, indexZ >= 0 && indexZ < uniforms.aShape[2]);\n setOutputAtIndex(index, inBounds * getA(${e}));\n }\n }\n `}};function Voe(r){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],t=[];for(let o=0;ot.disposeData(R.dataId)),t.makeTensorInfo(u.outputShape,A.dtype,A.values)}let h=new fx(m.shape,f),g=t.runWebGPUProgram(h,[m,d],m.dtype);l.push(g);let x=me({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeData(b.dataId)),x}var PL={kernelName:Is,backendName:\"webgpu\",kernelFunc:NI};var zoe=Ze({opType:ge.GREATER,cpuKernelImpl:nM,dtype:\"bool\"}),ML={kernelName:un,backendName:\"webgpu\",kernelFunc:zoe};var Woe=Ze({opType:ge.GREATER_EQUAL,dtype:\"bool\",cpuKernelImpl:oM}),LL={kernelName:pn,backendName:\"webgpu\",kernelFunc:Woe};function Uoe(r){let{inputs:e,backend:t}=r,{input:o}=e;return ux(o,!0,t)}var BL={kernelName:pi,backendName:\"webgpu\",kernelFunc:Uoe};var Goe=xe({opType:X.IS_FINITE,dtype:\"bool\"}),VL={kernelName:ha,backendName:\"webgpu\",kernelFunc:Goe};var Hoe=xe({opType:X.IS_INF,dtype:\"bool\"}),zL={kernelName:ga,backendName:\"webgpu\",kernelFunc:Hoe};var Koe=xe({opType:X.IS_NAN,dtype:\"bool\"}),WL={kernelName:cn,backendName:\"webgpu\",kernelFunc:Koe};function qoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=[{type:\"float32\",data:[s]}],i=new Hr(n.shape,X.LEAKYRELU,\"alpha : f32,\");return t.runWebGPUProgram(i,[n],\"float32\",a)}var UL={kernelName:ln,backendName:\"webgpu\",kernelFunc:qoe};var joe=Ze({opType:ge.LESS,dtype:\"bool\",cpuKernelImpl:aM}),GL={kernelName:mn,backendName:\"webgpu\",kernelFunc:joe};var Xoe=Ze({opType:ge.LESS_EQUAL,dtype:\"bool\",cpuKernelImpl:sM}),HL={kernelName:dn,backendName:\"webgpu\",kernelFunc:Xoe};var hx=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms=\"start : f32, step : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"linSpace\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n setOutputAtIndex(index, uniforms.start + f32(index) * uniforms.step);\n }\n }\n `}};function Yoe(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=(n-o)/(s-1),i=new hx(s),p=[{type:\"float32\",data:[o]},{type:\"float32\",data:[a]}];return e.runWebGPUProgram(i,[],\"float32\",p)}var KL={kernelName:li,backendName:\"webgpu\",kernelFunc:Yoe};var Qoe=xe({opType:X.LOG,cpuKernelImpl:iM}),qL={kernelName:fn,backendName:\"webgpu\",kernelFunc:Qoe};var Zoe=xe({opType:X.LOG1P}),jL={kernelName:xa,backendName:\"webgpu\",kernelFunc:Zoe};var Joe=Ze({opType:ge.LOGICAL_AND,dtype:\"bool\"}),XL={kernelName:hn,backendName:\"webgpu\",kernelFunc:Joe};var ene=xe({opType:X.LOGICAL_NOT}),YL={kernelName:gn,backendName:\"webgpu\",kernelFunc:ene};var tne=Ze({opType:ge.LOGICAL_OR}),QL={kernelName:xn,backendName:\"webgpu\",kernelFunc:tne};var ZL=`\n var powValue = 0.0;\n let basis = uniforms.bias + uniforms.alpha * sum;\n if (uniforms.beta == 0.5) {\n powValue = inverseSqrt(basis);\n } else if (uniforms.beta == 1.0) {\n powValue = 1.0 / basis;\n } else {\n powValue = exp(log(basis) * (-uniforms.beta));\n }\n`,gx=class{constructor(e){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"radius : i32, bias : f32, alpha : f32, beta : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"lrn\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let b = coords[0];\n let r = coords[1];\n let c = coords[2];\n let d = coords[3];\n\n let x = getX(b, r, c, d);\n var sum = 0.0;\n for (var i = -uniforms.radius; i <= uniforms.radius; i = i + 1) {\n let idx = d + i;\n if (idx >= 0 && idx < uniforms.xShape[3]) {\n let z = getX(b, r, c, idx);\n sum = sum + z * z;\n }\n }\n ${ZL}\n\n setOutputAtIndex(index, x * powValue);\n }\n }\n `}},xx=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"radius : i32, bias : f32, alpha : f32, beta : f32,\",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,y.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey=\"lrn_shared\"}getUserCode(){return`\n var lrnSub: array;\n const elementsPerWorkgroup = ${this.elementsPerWorkgroup};\n const maxAllowRadius = ${this.maxAllowRadius};\n\n ${Q()} {\n let localDepth = i32(localId.x);\n let workgroupDepth = i32(workgroupId.x) * elementsPerWorkgroup;\n let xDepth = workgroupDepth + localDepth - maxAllowRadius;\n let b = i32(globalId.z) / uniforms.xShape[1];\n let r = i32(globalId.z) - b * uniforms.xShape[1];\n let c = i32(globalId.y);\n let d = workgroupDepth + localDepth;\n\n var x = 0.0;\n if (xDepth >= 0 && xDepth < uniforms.xShape[3]) {\n x = getX(b, r, c, xDepth);\n }\n lrnSub[localDepth] = x;\n workgroupBarrier();\n\n if (localDepth < elementsPerWorkgroup && d < uniforms.outShape[3]) {\n var sum = 0.0;\n let index = localDepth + maxAllowRadius;\n for (var i = -uniforms.radius; i <= uniforms.radius; i = i + 1) {\n let z = lrnSub[index + i];\n sum = sum + z * z;\n }\n ${ZL}\n\n setOutputAtCoords(b, r, c, d, lrnSub[index] * powValue);\n }\n } `}};function rne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u;s>16?u=new gx(n.shape):u=new xx(n.shape,s);let c=[{type:\"int32\",data:[s]},{type:\"float32\",data:[a]},{type:\"float32\",data:[i]},{type:\"float32\",data:[p]}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var JL={kernelName:mi,backendName:\"webgpu\",kernelFunc:rne};var one=Ze({opType:ge.MAX,cpuKernelImpl:pM}),eB={kernelName:bn,backendName:\"webgpu\",kernelFunc:one};function nne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=S.computePool2DInfo(n.shape,s,a,u,i,p);return zg(n,c,\"max\",t)}var tB={kernelName:Cn,backendName:\"webgpu\",kernelFunc:nne};function sne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,\"min\",t)}var rB={kernelName:wn,backendName:\"webgpu\",kernelFunc:sne};var ane=Ze({opType:ge.MIN,cpuKernelImpl:cM}),oB={kernelName:In,backendName:\"webgpu\",kernelFunc:ane};var yx=class{constructor(e,t,o){this.uniforms=\"\",this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,s)=>n[0]+e[s]+n[1]),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,s)=>{this.uniforms+=` pad${s} : vec2,`}),this.offset=o===\"reflect\"?0:1,this.shaderKey=`mirrorPad_${o}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((u,c)=>`uniforms.pad${c}[0]`).join(\",\"),o=this.xShape.map((u,c)=>`uniforms.pad${c}[0] + uniforms.xShape${e>1?`[${c}]`:\"\"}`).join(\",\"),n=e===1?\"start\":\"start[i]\",s=e===1?\"end\":\"end[i]\",a=e===1?\"outC\":\"outC[i]\",i=Rt(e),p=e>1?[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,e):\"coords\";return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let start = ${i}(${t});\n let end = ${i}(${o});\n var outC = getCoordsFromIndex(index);\n for (var i = 0; i < ${e}; i = i + 1) {\n if (${a} < ${n}) {\n ${a} = ${n} * 2 - ${a} - ${this.offset};\n } else if(${a} >= ${s}) {\n ${a} = (${s} - 1) * 2 - ${a} + ${this.offset};\n }\n }\n let coords = outC - start;\n setOutputAtIndex(index, getX(${p}));\n }\n }\n `}};var nB={kernelName:vn,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{paddings:n,mode:s}=e,a=t,i=n.map(c=>({type:\"int32\",data:[c[0],c[1]]})),p=new yx(o.shape,n,s);return a.runWebGPUProgram(p,[o],o.dtype,i)}};var ine=Ze({opType:ge.MOD}),sB={kernelName:ya,backendName:\"webgpu\",kernelFunc:ine};function une(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.tensorMap.get(o.dataId),[a,i]=mM(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n=new Hr(o.shape,X.NEG);return t.runWebGPUProgram(n,[o],o.dtype)}var aB={kernelName:vs,backendName:\"webgpu\",kernelFunc:une};function pne(r){console.warn(\"tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=Vt.nonMaxSuppressionV3Impl(u,c,a,i,p);return t.makeTensorInfo([l.length],\"int32\",new Int32Array(l))}var iB={kernelName:Tn,backendName:\"webgpu\",kernelFunc:pne};function cne(r){console.warn(\"tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=Vt.nonMaxSuppressionV5Impl(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),t.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var uB={kernelName:_n,backendName:\"webgpu\",kernelFunc:cne};var bx=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=\"onValue : f32, offValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"onehot\"}getUserCode(){return`\n ${Q(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n setOutputAtIndex(index, mix(uniforms.offValue, uniforms.onValue,\n f32(i32(round(getX(coords.x))) == coords.y)));\n }\n }\n `}};function lne(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new bx(u,a),l=me({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=[{type:\"float32\",data:[i]},{type:\"float32\",data:[p]}],d=t.runWebGPUProgram(c,[l],s,m);t.disposeData(l.dataId);let f=[...n.shape,a],h=me({inputs:{x:d},backend:t,attrs:{shape:f}});return t.disposeData(d.dataId),h}var pB={kernelName:$n,backendName:\"webgpu\",kernelFunc:lne};function Xl(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"complex64\"){let n=Xa({inputs:{input:o},backend:t}),s=Xl({inputs:{x:n},backend:t}),a=Qu({inputs:{input:o},backend:t}),i=Xl({inputs:{x:a},backend:t}),p=po({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return fr({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype===\"string\"?\"\":0},backend:t})}var cB={kernelName:Os,backendName:\"webgpu\",kernelFunc:Xl};function lB(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(o.dtype===\"complex64\"){let n=Xa({inputs:{input:o},backend:t}),s=lB({inputs:{x:n},backend:t}),a=Qu({inputs:{input:o},backend:t}),i=Xl({inputs:{x:a},backend:t}),p=po({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return fr({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var mB={kernelName:ks,backendName:\"webgpu\",kernelFunc:lB};function mne(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return ix({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=ix({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=wI({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var dB={kernelName:Ns,backendName:\"webgpu\",kernelFunc:mne};var Cx=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=\"constantValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((o,n)=>o[0]+e[n]+o[1]),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((o,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey=\"pad\"}getUserCode(){let e=this.xShape.length,t=Rt(e),o=this.xShape.map((l,m)=>`uniforms.pad${m}[0]`).join(\",\"),n=this.xShape.map((l,m)=>`uniforms.pad${m}[0] + uniforms.xShape${e>1?`[${m}]`:\"\"}`).join(\",\"),s=e>1?`${t}(${o})`:`${o}`,a=e>1?`${t}(${n})`:`${n}`,i=e>1?\"any(outC < start)\":\"outC < start\",p=e>1?\"any(outC >= end)\":\"outC >= end\",u=e>1?[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,e):\"coords\";return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let start = ${s};\n let end = ${a};\n let outC = getCoordsFromIndex(index);\n\n if (${i} || ${p}) {\n setOutputAtIndex(index, uniforms.constantValue);\n } else {\n let coords = outC - start;\n setOutputAtIndex(index, getX(${u}));\n }\n }\n }\n `}};var TI=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(s.every(u=>y.arraysEqual(u,[0,0])))return Dt({inputs:{x:n},backend:t});if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return fr({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=[{type:\"float32\",data:[a]}];s.map(u=>i.push({type:\"int32\",data:[u[0],u[1]]}));let p=new Cx(n.shape,s);return t.runWebGPUProgram(p,[n],n.dtype,i)},fB={kernelName:En,backendName:\"webgpu\",kernelFunc:TI};var dne=Ze({opType:ge.POW}),hB={kernelName:An,backendName:\"webgpu\",kernelFunc:dne};function fne(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=new Yu(ge.PRELU,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],\"float32\")}var gB={kernelName:Rn,backendName:\"webgpu\",kernelFunc:fne};function hne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,\"prod\",t)}var xB={kernelName:Dn,backendName:\"webgpu\",kernelFunc:hne};var gne=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=hM(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},yB={kernelName:Ts,backendName:\"webgpu\",kernelFunc:gne};var _I=Ze({opType:ge.DIV}),bB={kernelName:Zo,backendName:\"webgpu\",kernelFunc:_I};var xne=xe({opType:X.RECIPROCAL}),CB={kernelName:Fn,backendName:\"webgpu\",kernelFunc:xne};var yne=xe({opType:X.RELU}),SB={kernelName:On,backendName:\"webgpu\",kernelFunc:yne};var bne=xe({opType:X.RELU6}),wB={kernelName:Ln,backendName:\"webgpu\",kernelFunc:bne};var Sx=class{constructor(e,t,o){this.variableNames=[\"x\"],this.uniforms=\"adjustHeightWidth : vec2, halfPixelCenters : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"resizeBilinear\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let d = coords[3];\n let rc = coords.yz;\n\n let effectiveInSize = vec2(\n f32(uniforms.xShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.xShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveOutSize = vec2(\n f32(uniforms.outShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.outShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveInputOverOutputRatioRC =\n effectiveInSize / effectiveOutSize;\n\n // Fractional source index\n let sourceFracIndexRC =\n (vec2(rc) + vec2(uniforms.halfPixelCenters)) *\n effectiveInputOverOutputRatioRC - vec2(uniforms.halfPixelCenters);\n\n // Compute the four integer indices.\n let sourceFloorRC = vec2(sourceFracIndexRC);\n let sourceCeilRC = vec2(\n min(vec2(uniforms.xShape.yz) - vec2(1.0), ceil(sourceFracIndexRC)));\n\n let topLeft = getX(b, sourceFloorRC.x, sourceFloorRC.y, d);\n let bottomLeft = getX(b, sourceCeilRC.x, sourceFloorRC.y, d);\n let topRight = getX(b, sourceFloorRC.x, sourceCeilRC.y, d);\n let bottomRight = getX(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n let fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n let top = topLeft + (topRight - topLeft) * fracRC.y;\n let bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n let newValue = top + (bottom - top) * fracRC.x;\n\n setOutputAtIndex(index, newValue);\n }\n }\n `}};function Cne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,size:a,halfPixelCenters:i}=o,[p,u]=a,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:\"float32\",data:[c,l]},{type:\"float32\",data:[i?.5:0]}],f=new Sx(n.shape,p,u);return t.runWebGPUProgram(f,[n],\"float32\",d)}var IB={kernelName:Mn,backendName:\"webgpu\",kernelFunc:Cne};var wx=class{constructor(e,t,o,n){this.variableNames=[\"x\"],this.uniforms=\"adjustHeightWidth : vec2, roundBase : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e=\"max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":e=\"vec2(rc) * effectiveInputOverOutputRatioRC\",`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let d = coords[3];\n let rc = coords.yz;\n\n let effectiveInSize = vec2(\n f32(uniforms.xShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.xShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveOutSize = vec2(\n f32(uniforms.outShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.outShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveInputOverOutputRatioRC =\n effectiveInSize / effectiveOutSize;\n\n // Fractional source index\n let sourceFracIndexRC = ${e};\n\n // Compute the coordinators of nearest neighbor point.\n let inputShapeRC = vec2(f32(uniforms.xShape.y), f32(uniforms.xShape.z));\n let sourceNearestRC = vec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + uniforms.roundBase)));\n let newValue = getX(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutputAtIndex(index, newValue);\n }\n }\n `}};function Sne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:\"float32\",data:[c,l]},{type:\"float32\",data:[s?.5:0]}],f=new wx(n.shape,p,u,a);return t.runWebGPUProgram(f,[n],n.dtype,d)}var vB={kernelName:Pn,backendName:\"webgpu\",kernelFunc:Sne};var Ix=class{constructor(e){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=\" axis : vec4,\",this.shaderKey=\"reverse\"}getUserCode(){return`\n \n // Using uniform variables as judging conditions, so the function has\n // coherent execution within all threads.\n fn getReverseCoords(coords : vec4) -> vec4 {\n var reverseCoords = coords;\n if (uniforms.axis[0] == 1) {\n reverseCoords[0] = uniforms.xShape[0] - coords[0] - 1;\n }\n if (uniforms.axis[1] == 1) {\n reverseCoords[1] = uniforms.xShape[1] - coords[1] - 1;\n }\n if (uniforms.axis[2] == 1) {\n reverseCoords[2] = uniforms.xShape[2] - coords[2] - 1;\n }\n if (uniforms.axis[3] == 1) {\n reverseCoords[3] = uniforms.xShape[3] - coords[3] - 1;\n }\n\n return reverseCoords;\n }\n \n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let reverseCoords = getReverseCoords(coords);\n setOutputAtIndex(index, getX(reverseCoords[0],\n reverseCoords[1], reverseCoords[2], reverseCoords[3]));\n }\n }\n `}};function wne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length;if(a===0)return Dt({inputs:{x:n},backend:t});let i=n.shape,p=[1,1,1,1];i.forEach((g,x)=>{let b=x+4-a;p[b]=g});let u=y.parseAxisParam(s,n.shape),c=[0,0,0,0];u.forEach(g=>{let x=g+4-a;c[x]=1});let l=[{type:\"int32\",data:c}],m=me({inputs:{x:n},backend:t,attrs:{shape:p}}),d=new Ix(p),f=t.runWebGPUProgram(d,[m],m.dtype,l);t.disposeData(m.dataId);let h=me({inputs:{x:f},backend:t,attrs:{shape:i}});return t.disposeData(f.dataId),h}var kB={kernelName:Bn,backendName:\"webgpu\",kernelFunc:wne};var vx=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32,\n cosRadians : f32,`,this.shaderKey=\"rotate\",this.outputShape=e,typeof t==\"number\"?(this.uniforms+=\" fillValue : f32,\",this.fillSnippet=\"var outputValue = uniforms.fillValue;\",this.shaderKey+=\"_float\"):(this.uniforms+=\" fillValue : vec3,\",this.fillSnippet=\"var outputValue = uniforms.fillValue[coords[3]];\",this.shaderKey+=\"_vec3\")}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let coordXFloat = (f32(coords[2]) - uniforms.centerX) *\n uniforms.cosRadians - (f32(coords[1]) - uniforms.centerY) *\n uniforms.sinRadians;\n let coordYFloat = (f32(coords[2]) - uniforms.centerX) *\n uniforms.sinRadians + (f32(coords[1]) - uniforms.centerY) *\n uniforms.cosRadians;\n let coordX = i32(round(coordXFloat + uniforms.centerX));\n let coordY = i32(round(coordYFloat + uniforms.centerY));\n ${this.fillSnippet}\n if(coordX >= 0 && coordX < uniforms.xShape[2] && coordY >= 0 &&\n coordY < uniforms.xShape[1]) {\n outputValue = getX(coords[0], coordY, coordX, coords[3]);\n }\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};var NB={kernelName:ts,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new vx(o.shape,s),[u,c]=S.getImageCenter(a,o.shape[1],o.shape[2]),l=[{type:\"float32\",data:[u]},{type:\"float32\",data:[c]},{type:\"float32\",data:[Math.sin(n)]},{type:\"float32\",data:[Math.cos(n)]}];return typeof s==\"number\"?l.push({type:\"float32\",data:[Number.parseFloat(s.toFixed(2))]}):l.push({type:\"float32\",data:s}),i.runWebGPUProgram(p,[o],o.dtype,l)}};var Ine=xe({opType:X.ROUND}),TB={kernelName:Vn,backendName:\"webgpu\",kernelFunc:Ine};var vne=xe({opType:X.RSQRT,cpuKernelImpl:gM}),_B={kernelName:zn,backendName:\"webgpu\",kernelFunc:vne};var Hi=class{constructor(e,t,o,n,s,a,i,p=!0){this.variableNames=[\"updates\",\"indices\"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=a,this.type=i,this.sumDupeIndices=p,this.dispatchLayout=ae(e),this.dispatch=Y(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`;let u=Rt(s.length);this.uniforms=`sliceDim : i32, strides: ${u}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=o}getUserCode(){let e=\"\";this.indicesRank===1?e=\"coords[0]\":this.indicesRank===2&&(e=\"coords[0], j\");let t=`getIndices(${e})`,o=this.sliceDimGreaterThanOne?\"uniforms.strides[j]\":\"uniforms.strides\",n=\"\",s=\"\";this.dispatchLayout.x.length===1?(n=\"flattenedIndex\",s=`\n fn getUpdatesCoordsFromFlatIndex(index : i32) -> i32 {\n return index;\n }\n `):this.dispatchLayout.x.length===2&&(n=\"vec2(flattenedIndex, coords[1])\",s=`\n fn getUpdatesCoordsFromFlatIndex(index : i32) -> vec2 {\n // N.B. |updates| could be a scalar tensor, conceptually representing a\n // 2D tensor with all values equal to that. By design, its size must be\n // the same as |outShape[1]| in one dimension, and |indicesShape[0]|\n // gives the other.\n let sliceSize = uniforms.outShape[1];\n let d0 = index / sliceSize;\n let d1 = index - d0 * sliceSize;\n return vec2(d0, d1);\n }\n `);let i=`getUpdates(${Array.from({length:this.updatesRank},(u,c)=>`coords[${c}]`).join(\", \")})`;return`\n ${s}\n ${Q(\"index\")} {\n if (index < uniforms.updatesSize) {\n let coords = getUpdatesCoordsFromFlatIndex(index);\n var flattenedIndex = 0;\n for (var j = 0; j < uniforms.sliceDim; j = j + 1) {\n let indexInside = i32(round(${t}));\n flattenedIndex = flattenedIndex + indexInside * ${o};\n }\n let updateValue =\n ${vc(this.type,!1)}(${i});\n let flatIndex = getOutputIndexFromCoords(${n});\n\n ${this.sumDupeIndices?Ic(\"&result[flatIndex]\",\"updateValue\",this.type):\"atomicStore(&result[flatIndex], bitcast(updateValue));\"}\n }\n }`}};function kne(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=me({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=me({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=f.dtype,g=fr({backend:t,attrs:{shape:m,value:0,dtype:h}}),x=y.sizeFromShape(f.shape),b=[{type:\"int32\",data:[i]},{type:\"int32\",data:c},{type:\"int32\",data:[x]}],C=new Hi(f.shape,i,d.shape.length,f.shape.length,c,m,h),w=t.runWebGPUProgram(C,[f,d],h,b,g),k=me({inputs:{x:w},backend:t,attrs:{shape:a}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(w.dataId),k}var $B={kernelName:Wn,backendName:\"webgpu\",kernelFunc:kne};var kx=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"sortedSequence\",\"values\"],this.uniforms=\"numInputs : i32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return`\n fn findBound(batch: i32, value: f32) -> i32 {\n var left = i32(0);\n var right = uniforms.numInputs;\n while (left < right) {\n var mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${this.side===\"left\"?\"<\":\"<=\"} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let value = getValuesByOutputIndex(index);\n setOutputAtIndexI32(index, findBound(coords[0], value));\n }\n }\n `}};function Nne(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new kx([s.shape[0],s.shape[1]],a),p=[{type:\"int32\",data:[n.shape[1]]}];return t.runWebGPUProgram(i,[n,s],\"int32\",p)}var EB={kernelName:fi,backendName:\"webgpu\",kernelFunc:Nne};var Nx=class{constructor(e,t,o){this.variableNames=[\"c\",\"a\",\"b\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.cRank=e,this.rank=o,this.shaderKey=\"select\"}getUserCode(){let e,t;if(this.rank>4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t=\"resRC\",e=\"resRC\";else{let n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],s=[],a=[];for(let i=0;i= 1.0) {\n setOutputAtIndex(index, getA(${t}));\n } else {\n setOutputAtIndex(index, getB(${t}));\n }\n }\n }\n `}};function Tne(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=new Nx(o.shape.length,n.shape,n.shape.length);return t.runWebGPUProgram(a,[o,n,s],dt(n.dtype,s.dtype))}var AB={kernelName:$s,backendName:\"webgpu\",kernelFunc:Tne};var _ne=xe({opType:X.SELU}),RB={kernelName:Ca,backendName:\"webgpu\",kernelFunc:_ne};var $ne=xe({opType:X.SIGMOID}),DB={kernelName:Gn,backendName:\"webgpu\",kernelFunc:$ne};var Ene=xe({opType:X.SIGN}),FB={kernelName:wa,backendName:\"webgpu\",kernelFunc:Ene};var Ane=xe({opType:X.SIN}),OB={kernelName:Un,backendName:\"webgpu\",kernelFunc:Ane};var Rne=xe({opType:X.SINH}),PB={kernelName:Sa,backendName:\"webgpu\",kernelFunc:Rne};var $I=Ze({opType:ge.SUB,cpuKernelImpl:wM,supportsComplex:!0}),MB={kernelName:Yn,backendName:\"webgpu\",kernelFunc:$I};function Dne(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=y.parseAxisParam([s],n.shape),i=Hl({inputs:{x:n},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),p=S.expandShapeToKeepDim(i.shape,a),u=me({inputs:{x:i},backend:t,attrs:{shape:p}}),c=$I({inputs:{a:n,b:u},backend:t}),l=vI({inputs:{x:c},backend:t}),m=ql({inputs:{x:l},backend:t,attrs:{axis:a,keepDims:!1}}),d=me({inputs:{x:m},backend:t,attrs:{shape:p}}),f=_I({inputs:{a:l,b:d},backend:t});return t.disposeData(i.dataId),t.disposeData(u.dataId),t.disposeData(c.dataId),t.disposeData(l.dataId),t.disposeData(m.dataId),t.disposeData(d.dataId),f}var LB={kernelName:qn,backendName:\"webgpu\",kernelFunc:Dne};var Fne=xe({opType:X.SOFTPLUS}),BB={kernelName:Ia,backendName:\"webgpu\",kernelFunc:Fne};var One=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet\");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeData(x.dataId)),g},VB={kernelName:As,backendName:\"webgpu\",kernelFunc:One};var Tx=class{constructor(e,t){this.variableNames=[\"A\"],this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n=5)throw Error(`Tile for rank ${r} is not yet supported`);if(r===1)return`(resRC % ${e}aShape)`;let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[];for(let n=0;n=5){let p=t.readSync(n.dataId),u=n.dtype===\"string\"?p.map(m=>y.decodeString(m)):p,c=le(n.shape,n.dtype,u),l=IM(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new Tx(n.shape,s);return t.runWebGPUProgram(a,[n],n.dtype)}var zB={kernelName:to,backendName:\"webgpu\",kernelFunc:EI};function Mne(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1;if(s.dtype===\"string\"){let A=t.bufferSync(n),R=t.bufferSync(s),D=y.decodeString(t.readSync(a.dataId)[0]),P=xM(A,R,i,m,c,u,p,l,D,d);return t.makeTensorInfo(i,P.dtype,P.values)}let f=[m/c,c],h=me({inputs:{x:n},backend:t,attrs:{shape:[u,p]}}),g=s.shape.length?me({inputs:{x:s},backend:t,attrs:{shape:[u,c]}}):Dt({inputs:{x:s},backend:t}),x=g.dtype,b=t.makeTensorInfo([],x,y.makeZerosTypedArray(1,x)),C=me({inputs:{x:a},backend:t,attrs:{shape:Array(f.length).fill(1)}}),w=EI({inputs:{x:C},backend:t,attrs:{reps:f}}),k=y.sizeFromShape([u,c]),_=[{type:\"int32\",data:[p]},{type:\"int32\",data:l},{type:\"int32\",data:[k]}];switch(u){case 0:break;case 1:{let A=new Hi([u,c],p,h.shape.length,g.shape.length,l,f,x,d);t.runWebGPUProgram(A,[g,h],x,_,w)}break;default:{let A=new Hi([u,c],p,h.shape.length,b.shape.length,l,f,x,d);t.runWebGPUProgram(A,[b,h],x,_,w)}{let A=new Hi([u,c],p,h.shape.length,g.shape.length,l,f,x);t.runWebGPUProgram(A,[g,h],x,_,w)}}let E=me({inputs:{x:w},backend:t,attrs:{shape:i}});return t.disposeData(h.dataId),t.disposeData(g.dataId),t.disposeData(C.dataId),t.disposeData(b.dataId),t.disposeData(w.dataId),E}var WB={kernelName:yi,backendName:\"webgpu\",kernelFunc:Mne};function Lne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=fs({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var UB={kernelName:Rs,backendName:\"webgpu\",kernelFunc:Lne};var Bne=xe({opType:X.SQRT}),GB={kernelName:Hn,backendName:\"webgpu\",kernelFunc:Bne};var HB={kernelName:bi,backendName:\"webgpu\",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e,n=new Hr(t.shape,X.SQUARE);return o.runWebGPUProgram(n,[t],t.dtype)}};var Vne=Ze({opType:ge.SQUARED_DIFFERENCE}),KB={kernelName:jn,backendName:\"webgpu\",kernelFunc:Vne};function zne({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=new Hr(o.shape,X.STEP,\"stepAlpha : f32,\"),s=[{type:\"float32\",data:[e.alpha]}];return t.runWebGPUProgram(n,[o],o.dtype,s)}var qB={kernelName:fo,backendName:\"webgpu\",kernelFunc:zne};var _x=class{constructor(e){this.variableNames=[\"x\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=Rt(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey=\"stridedSlice\"}getUserCode(){let e=this.outputShape.length,t=\"\";if(e===1)t=\"coords * uniforms.strides + uniforms.begin\";else{let n=0;t=this.outputShape.map((s,a)=>(n++,this.outputShape.length===1?`coords * uniforms.strides[${a}] + uniforms.begin[${a}]`:`coords[${n-1}] * uniforms.strides[${a}] + uniforms.begin[${a}]`)).join(\",\")}return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n setOutputAtIndex(index, getX(${t}));\n }\n }\n `}};function Wne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=me({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=fs({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=me({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeData(E.dataId)}else if(t.shouldExecuteOnCPU([n])){let E=t.readSync(n.dataId),A=le(n.shape,n.dtype,E),R=CM(d,A,w,b);k=t.makeTensorInfo(f,n.dtype,R.values)}else{let E=new _x(d),A=[{type:\"int32\",data:b},{type:\"int32\",data:w}],R=t.runWebGPUProgram(E,[n],n.dtype,A);k=me({inputs:{x:R},backend:t,attrs:{shape:f}}),t.disposeData(R.dataId)}return k}var jB={kernelName:Xn,backendName:\"webgpu\",kernelFunc:Wne};function Une(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=SM(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var XB={kernelName:Ds,backendName:\"webgpu\",kernelFunc:Une};var Gne=xe({opType:X.TAN}),YB={kernelName:Qn,backendName:\"webgpu\",kernelFunc:Gne};var Hne=xe({opType:X.TANH}),QB={kernelName:Zn,backendName:\"webgpu\",kernelFunc:Hne};var $x=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32,\n dir : i32, inc : i32,`,this.shaderKey=\"swap\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let outC = getCoordsFromIndex(index);\n let batch = outC[0];\n let elemIdx = outC[1];\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced\n // above, Figure5(a) shows that element[1] is in the second half of\n // the group when group size is 2, but it is in the first half of\n // the group when group size is 4.\n let isFirstInPair = elemIdx % (2 * uniforms.inc) < uniforms.inc;\n var i = 0;\n if (isFirstInPair) {\n i = elemIdx;\n } else {\n i = elemIdx - uniforms.inc;\n }\n\n var i0 = 0;\n if (uniforms.firstPass == 1) {\n i0 = i;\n } else {\n i0 = i32(getIndices(batch, i));\n }\n\n var i1 = 0;\n if (uniforms.firstPass == 1) {\n i1 = i + uniforms.inc;\n } else {\n i1 = i32(getIndices(batch, i + uniforms.inc));\n }\n\n var x0 = f32(0.0);\n var x1 = f32(0.0);\n if (i0 < uniforms.inputSize) {\n x0 = getX(batch, i0);\n } else {\n x0 = uniforms.negativeInf;\n }\n if (i1 < uniforms.inputSize) {\n x1 = getX(batch, i1);\n } else {\n x1 = uniforms.negativeInf;\n }\n\n let reverse = elemIdx % (2 * uniforms.dir) >= uniforms.dir;\n let isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) {\n // Elements in opposite order of direction\n let iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutputAtIndex(index, f32(i0));\n } else {\n setOutputAtIndex(index, f32(i1));\n }\n }\n }\n `}},Ex=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=\"inputSize : i32, firstPass : i32, k : i32,\",this.shaderKey=\"merge\"}getUserCode(){return`\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let outC = getCoordsFromIndex(index);\n let batch = outC[0];\n let elemIdx = outC[1];\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _\n // (k=4), we only need to output the indices at positions |, the\n // indices at positions _ can be thrown away, see Figure5(b) After\n // Phase 2 (Merge phase) in the Bitonic Top K paper referenced\n // above.\n // For example, the paper shows we only need to output the orange\n // bars. The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back to\n // the previous sequence to find the corresponding value, we need\n // to double the index. When we double the index, we basically\n // interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k\n // position of each 2k positions by - elemIdx % k. E.g. for output\n // at index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n var i = 0;\n if (elemIdx < uniforms.k) {\n i = elemIdx;\n } else {\n i = elemIdx * 2 - elemIdx % uniforms.k;\n }\n var i0 = 0;\n if (uniforms.firstPass == 1) {\n i0 = i;\n } else {\n i0 = i32(getIndices(batch, i));\n }\n var i1 = 0;\n if (uniforms.firstPass == 1) {\n i1 = i + uniforms.k;\n } else {\n i1 = i32(getIndices(batch, i + uniforms.k));\n }\n\n let x0 = getX(batch, i0);\n var x1 = f32(0.0);\n if (i1 < uniforms.inputSize) {\n x1 = getX(batch, i1);\n } else {\n x1 = x0;\n }\n\n if (x0 >= x1) {\n setOutputAtIndex(index, f32(i0));\n } else {\n setOutputAtIndex(index, f32(i1));\n }\n }\n }\n `}};function Rc(r,e){e!==null&&r.disposeData(e.dataId)}function ZB(r){let e=1;for(;ef===null?[l,l]:[l,f],g=(k,_,E)=>{let A=h(),R=new $x(E),P=[{type:\"int32\",data:[p]},{type:\"int32\",data:[f===null?1:0]},{type:\"float32\",data:[Number.NEGATIVE_INFINITY]},{type:\"int32\",data:[k]},{type:\"int32\",data:[_]}],M=f;f=t.runWebGPUProgram(R,A,\"int32\",P),Rc(t,M)};for(let k=1;k=1;E/=2)g(_,E,[c,d])}for(let k=d;k>m;k/=2){let _=h(),E=new Ex([c,k/2]),R=[{type:\"int32\",data:[p]},{type:\"int32\",data:[f===null?1:0]},{type:\"int32\",data:[m]}],D=f;f=t.runWebGPUProgram(E,_,\"int32\",R),Rc(t,D);let P=m/2,M=P*2;for(let L=P;L>=1;L/=2)g(M,L,f.shape)}let x=f;f=fs({inputs:{x:f},backend:t,attrs:{begin:0,size:[c,s]}}),Rc(t,x);let b=NI({inputs:{x:l,indices:f},backend:t,attrs:{axis:1,batchDims:1}});Rc(t,l);let C=i.slice(0,-1);C.push(s),x=f,f=me({inputs:{x:f},attrs:{shape:C},backend:t}),Rc(t,x);let w=b;return b=me({inputs:{x:b},attrs:{shape:C},backend:t}),Rc(t,w),[b,f]}var JB={kernelName:Jn,backendName:\"webgpu\",kernelFunc:Kne};var Ax=class{constructor(e){this.variableNames=[\"Image\",\"Transforms\"],this.uniforms=\"interpolationModeId : i32, fillModeId : i32, fillValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"transform\"}getUserCode(){return`\n fn mapCoord(outCoord : f32, len : f32) -> f32{\n var inCoord = outCoord;\n if(uniforms.fillModeId == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * f32(i32(f32(-inCoord / sz2))) +\n inCoord;\n }\n if (inCoord < -len) {\n inCoord = inCoord + sz2;\n } else {\n inCoord = -inCoord - 1.0;\n }\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz2 = 2.0 * len;\n inCoord = inCoord - sz2 * f32(i32(f32(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (uniforms.fillModeId == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz = len - 1.0;\n inCoord = inCoord + len * (f32(i32(f32(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz = len - 1.0;\n inCoord = inCoord - len * f32(i32(f32(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (uniforms.fillModeId == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n }\n return outCoord;\n }\n fn readWithFillValue(batch : i32, coordY : i32, coordX : i32,\n channel : i32) -> f32 {\n var outputValue : f32;\n if (0 <= coordY && coordY < uniforms.imageShape[1] && 0 <= coordX && coordX < uniforms.imageShape[2]) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = uniforms.fillValue;\n }\n return outputValue;\n }\n\n ${Q(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var outputValue : f32;\n let batch = coords[0];\n let x = coords[2];\n let y = coords[1];\n let channel = coords[3];\n let xf = f32(x);\n let yf = f32(y);\n let a1 = getTransforms(batch, 0);\n let a2 = getTransforms(batch, 1);\n let a3 = getTransforms(batch, 2);\n let b1 = getTransforms(batch, 3);\n let b2 = getTransforms(batch, 4);\n let b3 = getTransforms(batch, 5);\n let c1 = getTransforms(batch, 6);\n let c2 = getTransforms(batch, 7);\n let projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = uniforms.fillValue;\n } else {\n let inX = (a1 * xf + a2 * yf + a3) / projection;\n let inY = (b1 * xf + b2 * yf + b3) / projection;\n let mapX = mapCoord(inX, f32(uniforms.imageShape[2]));\n let mapY = mapCoord(inY, f32(uniforms.imageShape[1]));\n\n if (uniforms.interpolationModeId == 1) {\n let coordY = i32(round(mapY));\n let coordX = i32(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n let yFloor = floor(mapY);\n let xFloor = floor(mapX);\n let yCeil = yFloor + 1.0;\n let xCeil = xFloor + 1.0;\n let valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, i32(yFloor), i32(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, i32(yFloor), i32(xCeil), channel);\n let valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, i32(yCeil), i32(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, i32(yCeil), i32(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};function qne(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Ax(g),b=a===\"nearest\"?1:2,C;switch(i){case\"constant\":C=1;break;case\"reflect\":C=2;break;case\"wrap\":C=3;break;case\"nearest\":C=4;break;default:C=1;break}let w=[{type:\"int32\",data:[b]},{type:\"int32\",data:[C]},{type:\"float32\",data:[p]}];return t.runWebGPUProgram(x,[n,s],\"float32\",w)}var eV={kernelName:es,backendName:\"webgpu\",kernelFunc:qne};function jne(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeData(h.dataId)),f}var tV={kernelName:Fs,backendName:\"webgpu\",kernelFunc:jne};var Xne=[G3,NM,TM,_M,$M,EM,RM,DM,FM,OM,PM,MM,LM,BM,VM,UM,GM,HM,qM,jM,ZM,JM,eL,K3,rL,oL,nL,sL,aL,iL,uL,lL,mL,dL,fL,hL,gL,xL,CL,SL,wL,IL,vL,kL,NL,TL,W3,_L,AL,$L,EL,RL,DL,FL,OL,PL,ML,LL,H3,BL,tL,VL,zL,WL,UL,GL,HL,KL,jL,qL,XL,YL,QL,JL,zM,eB,tB,WM,rB,oB,nB,sB,yL,aB,iB,uB,XM,pB,mB,dB,fB,hB,gB,xB,yB,YM,bB,CB,SB,wB,U3,IB,vB,kB,NB,TB,_B,$B,EB,AB,RB,DB,FB,OB,PB,KM,qB,jB,XB,LB,BB,VB,WB,UB,GB,HB,KB,MB,bL,YB,QB,zB,JB,eV,AM,tV,cB];for(let r of Xne)ka(r);var rV=\"4.2.0\",Yne=\"4.2.0\",Qne=\"4.2.0\",Zne=\"4.2.0\",Jne=\"4.2.0\",ese=\"0.0.1-alpha.17\",tse={tfjs:rV,\"tfjs-core\":rV,\"tfjs-converter\":Yne,\"tfjs-backend-cpu\":Qne,\"tfjs-backend-webgl\":Zne,\"tfjs-backend-wasm\":Jne,\"tfjs-backend-webgpu\":ese};export{ys as Abs,aa as Acos,ia as Acosh,yu as AdadeltaOptimizer,bu as AdagradOptimizer,Cu as AdamOptimizer,Su as AdamaxOptimizer,eo as Add,Po as AddN,Mo as All,Lo as Any,Bo as ArgMax,ei as ArgMin,ua as Asin,pa as Asinh,ca as Atan,ma as Atan2,la as Atanh,Vo as AvgPool,dp as AvgPool3D,vm as AvgPool3DGrad,mp as AvgPoolGrad,Ll as BackendWasm,zo as BatchMatMul,bs as BatchToSpaceND,ti as Bincount,fp as BroadcastArgs,ise as BroadcastTo,co as Cast,Wo as Ceil,lo as ClipByValue,ri as Complex,hp as ComplexAbs,Cs as Concat,Uo as Conv2D,oi as Conv2DBackpropFilter,Go as Conv2DBackpropInput,gp as Conv3D,km as Conv3DBackpropFilterV2,xp as Conv3DBackpropInputV2,Ho as Cos,Ko as Cosh,Xo as CropAndResize,qo as Cumprod,jo as Cumsum,Fo as DataStorage,ni as DenseBincount,Yo as DepthToSpace,Qo as DepthwiseConv2dNative,yp as DepthwiseConv2dNativeBackpropFilter,bp as DepthwiseConv2dNativeBackpropInput,si as Diag,ai as Dilation2D,$b as Dilation2DBackpropFilter,_b as Dilation2DBackpropInput,kb as ENV,ii as Einsum,Jo as Elu,Nm as EluGrad,Uc as Environment,en as Equal,da as Erf,tn as Exp,Ss as ExpandDims,fa as Expm1,ui as FFT,ws as Fill,rn as FlipLeftRight,on as Floor,nn as FloorDiv,Zi as FromPixels,sn as FusedBatchNorm,go as FusedConv2D,xo as FusedDepthwiseConv2D,Lu as GPGPUContext,an as GatherNd,Is as GatherV2,fl as GraphModel,un as Greater,pn as GreaterEqual,pi as IFFT,mo as Identity,ci as Imag,ha as IsFinite,ga as IsInf,cn as IsNan,Zr as KernelBackend,mi as LRN,Tm as LRNGrad,ln as LeakyRelu,mn as Less,dn as LessEqual,li as LinSpace,fn as Log,xa as Log1p,use as LogSoftmax,hn as LogicalAnd,gn as LogicalNot,xn as LogicalOr,XI as LogicalXor,pse as LowerBound,Pi as MathBackendCPU,Vi as MathBackendWebGL,yn as Max,Cn as MaxPool,Cp as MaxPool3D,$m as MaxPool3DGrad,_m as MaxPoolGrad,Sp as MaxPoolWithArgmax,bn as Maximum,Sn as Mean,wn as Min,In as Minimum,vn as MirrorPad,ya as Mod,wu as MomentumOptimizer,wp as Multinomial,kn as Multiply,vs as Neg,Tn as NonMaxSuppressionV3,ba as NonMaxSuppressionV4,_n as NonMaxSuppressionV5,Nn as NotEqual,jb as OP_SCOPE_SUFFIX,$n as OneHot,ks as OnesLike,wr as Optimizer,cl as OptimizerConstructors,Ns as Pack,En as PadV2,cse as Pool,An as Pow,Rn as Prelu,Dn as Prod,Iu as RMSPropOptimizer,Ip as RaggedGather,vp as RaggedRange,kp as RaggedTensorToTensor,Ts as Range,Lb as Rank,di as Real,Zo as RealDiv,Fn as Reciprocal,$t as Reduction,On as Relu,Ln as Relu6,_s as Reshape,Mn as ResizeBilinear,Am as ResizeBilinearGrad,Pn as ResizeNearestNeighbor,Em as ResizeNearestNeighborGrad,Bn as Reverse,ts as RotateWithOffset,Vn as Round,zn as Rsqrt,Pa as SGDOptimizer,Wn as ScatterNd,fi as SearchSorted,$s as Select,Ca as Selu,Gn as Sigmoid,wa as Sign,Un as Sin,Sa as Sinh,Es as Slice,qn as Softmax,Ia as Softplus,As as SpaceToBatchND,hi as SparseFillEmptyRows,va as SparseReshape,gi as SparseSegmentMean,xi as SparseSegmentSum,yi as SparseToDense,Rs as SplitV,Hn as Sqrt,bi as Square,jn as SquaredDifference,fo as Step,Xn as StridedSlice,Ds as StringNGrams,Ci as StringSplit,Si as StringToHashBucketFast,Yn as Sub,Kn as Sum,Qn as Tan,Zn as Tanh,it as Tensor,st as TensorBuffer,to as Tile,Jn as TopK,es as Transform,ro as Transpose,Np as Unique,Fs as Unpack,Tp as UnsortedSegmentSum,lse as UpperBound,Na as Variable,Gi as WebGPUBackend,Os as ZerosLike,ho as _FusedMatMul,Yt as abs,G0 as acos,H0 as acosh,be as add,K0 as addN,q0 as all,j0 as any,X0 as argMax,Y0 as argMin,Q0 as asin,Z0 as asinh,J0 as atan,ev as atan2,tv as atanh,qm as avgPool,nv as avgPool3d,Pie as backend,S as backend_util,sv as basicLSTMCell,_i as batchNorm,iv as batchNorm2d,uv as batchNorm3d,pv as batchNorm4d,jm as batchToSpaceND,Xm as bincount,VG as booleanMaskAsync,cv as broadcastArgs,$i as broadcastTo,yr as broadcast_util,gN as browser,le as buffer,je as cast,lv as ceil,mv as clipByValue,Lr as clone,Tr as complex,xt as concat,dv as concat1d,fv as concat2d,hv as concat3d,gv as concat4d,xv as conv1d,Ei as conv2d,yv as conv2dTranspose,bv as conv3d,Sv as conv3dTranspose,bse as copyRegisteredKernels,wv as cos,Iv as cosh,al as cosineWindow,vv as cumprod,kv as cumsum,br as customGrad,Nv as denseBincount,nC as deprecationWarn,Tv as depthToSpace,Bp as depthwiseConv2d,Mq as deregisterOp,ki as device_util,_v as diag,$v as dilation2d,kie as disableDeprecationWarnings,Ot as dispose,Nie as disposeVariables,He as div,Av as divNoNan,Rv as dot,ZG as dropout,Dv as einsum,Jm as elu,vie as enableDebugMode,Iie as enableProdMode,CC as enclosingPowerOfTwo,sr as engine,O as env,Zm as equal,Fv as erf,Mv as euclideanNorm,So as exp,Ra as expandDims,Lv as expm1,ed as eye,zp as fft,Us as fill,Fie as findBackend,Oie as findBackendFactory,td as floor,Km as floorDiv,GE as forceHalfFloat,SC as fused,rd as gather,YG as gatherND,Wd as gather_util,Rie as getBackend,Eb as getGradient,Kc as getKernel,Rm as getKernelsForBackend,Kee as getThreadsCount,$w as gpgpu_util,HU as grad,KU as grads,uu as greater,od as greaterEqual,du as ifft,Ri as imag,eK as image,eH as inTopKAsync,La as io,Td as irfft,Bv as isFinite,Vv as isInf,zv as isNaN,_r as keep,Vt as kernel_impls,nd as leakyRelu,Wv as less,Vp as lessEqual,tK as linalg,Uv as linspace,A6 as loadGraphModel,R6 as loadGraphModelSync,Gv as localResponseNormalization,Da as log,sd as log1p,Hv as logSigmoid,Kv as logSoftmax,ud as logSumExp,pu as logicalAnd,pd as logicalNot,cd as logicalOr,qv as logicalXor,rK as losses,jv as lowerBound,Xe as matMul,fN as math,Gs as max,md as maxPool,Xv as maxPool3d,Yv as maxPoolWithArgmax,dd as maximum,cu as mean,Tie as memory,Qv as meshgrid,rl as min,fd as minimum,Zv as mirrorPad,Jv as mod,ek as moments,UG as movingAverage,ne as mul,tk as multiRNNCell,rk as multinomial,Cr as neg,AC as nextFrame,iu as norm,hd as notEqual,nl as oneHot,Hs as ones,ok as onesLike,N as op,nk as outerProduct,Ks as pad,sk as pad1d,ak as pad2d,ik as pad3d,uk as pad4d,pk as pool,Aa as pow,xd as prelu,Hm as print,ck as prod,_ie as profile,lk as raggedGather,mk as raggedRange,dk as raggedTensorToTensor,fk as rand,Ok as randomGamma,Id as randomNormal,Pk as randomStandardNormal,vd as randomUniform,Di as range,Aie as ready,Fa as real,Mk as reciprocal,Ti as registerBackend,gse as registerGradient,ka as registerKernel,Pq as registerOp,Fi as relu,kd as relu6,Die as removeBackend,W as reshape,no as reverse,Lk as reverse1d,Bk as reverse2d,Vk as reverse3d,zk as reverse4d,Wp as rfft,Nd as round,Wk as rsqrt,Ce as scalar,HG as scatterND,sl as scatter_util,ol as searchSorted,Uk as selu,Gk as separableConv2d,oN as serialization,Eie as setBackend,Mie as setPlatform,Hee as setThreadsCount,Uee as setWasmPath,Gee as setWasmPaths,US as setWebGLContext,Hk as setdiff1dAsync,Zp as shared,Ws as sigmoid,Kk as sign,JH as signal,qk as sin,jk as sinh,Ke as slice,Xk as slice1d,Yk as slice2d,Qk as slice3d,Zk as slice4d,ut as slice_util,Jk as softmax,id as softplus,gd as spaceToBatchND,oK as sparse,jG as sparseToDense,ZH as spectral,Oa as split,$r as sqrt,Qt as square,_d as squaredDifference,Up as squeeze,Sr as stack,$d as step,e1 as stridedSlice,nK as string,ke as sub,et as sum,Ta as sumOutType,t1 as tan,tl as tanh,nr as tensor,dr as tensor1d,Oi as tensor2d,Ed as tensor3d,r1 as tensor4d,o1 as tensor5d,n1 as tensor6d,C0 as tensor_util,Fk as test_util,Ee as tidy,Ai as tile,$ie as time,s1 as topk,YMe as train,Gp as transpose,a1 as truncatedNormal,i1 as unique,yse as unregisterGradient,xse as unregisterKernel,u1 as unsortedSegmentSum,so as unstack,dt as upcastType,p1 as upperBound,y as util,qU as valueAndGrad,jU as valueAndGrads,c1 as variable,pC as variableGrads,tse as version,F6 as version_converter,RK as version_core,pj as version_cpu,qee as version_wasm,nY as version_webgl,CJe as webgl,nc as webgl_util,hI as webgpu_util,ss as where,Rd as whereAsync,Br as zeros,Ut as zerosLike};\n", "import type { Config } from '../exports';\n\n/**\n * Simple helper functions used accross codebase\n */\n\n// helper function: wrapper around console output\nexport function log(...msg): void {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n if (msg) console.log(ts, 'Human:', ...msg); // eslint-disable-line no-console\n}\n\n// helper function: join two paths\nexport function join(folder: string, file: string): string {\n const separator = folder.endsWith('/') ? '' : '/';\n const skipJoin = file.startsWith('.') || file.startsWith('/') || file.startsWith('http:') || file.startsWith('https:') || file.startsWith('file:');\n const path = skipJoin ? `${file}` : `${folder}${separator}${file}`;\n if (!path.toLocaleLowerCase().includes('.json')) throw new Error(`modelpath error: expecting json file: ${path}`);\n return path;\n}\n\n// helper function: gets elapsed time on both browser and nodejs\nexport const now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: checks current config validity\nexport function validate(defaults: Partial, config: Partial, parent = 'config', msgs: { reason: string, where: string, expected?: string }[] = []) {\n for (const key of Object.keys(config)) {\n if (typeof config[key] === 'object') {\n validate(defaults[key], config[key], key, msgs);\n } else {\n const defined = defaults && (typeof defaults[key] !== 'undefined');\n if (!defined) msgs.push({ reason: 'unknown property', where: `${parent}.${key} = ${config[key]}` });\n const same = defaults && typeof defaults[key] === typeof config[key];\n if (defined && !same) msgs.push({ reason: 'property type mismatch', where: `${parent}.${key} = ${config[key]}`, expected: typeof defaults[key] });\n }\n // ok = ok && defined && same;\n }\n if (config.debug && parent === 'config' && msgs.length > 0) log('invalid configuration', msgs);\n return msgs;\n}\n\n// helper function: perform deep merge of multiple objects so it allows full inheritance with overrides\nexport function mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) prev[key] = pVal.concat(...oVal);\n else if (isObject(pVal) && isObject(oVal)) prev[key] = mergeDeep(pVal, oVal);\n else prev[key] = oVal;\n });\n return prev;\n }, {});\n}\n\n// helper function: return min and max from input array\nexport const minmax = (data: number[]) => data.reduce((acc: number[], val) => {\n acc[0] = (acc[0] === undefined || val < acc[0]) ? val : acc[0];\n acc[1] = (acc[1] === undefined || val > acc[1]) ? val : acc[1];\n return acc;\n}, []);\n\n// helper function: async wait\nexport async function wait(time: number) {\n const waiting = new Promise((resolve) => { setTimeout(() => resolve(true), time); });\n await waiting;\n}\n", "/* eslint-disable no-multi-spaces */\n\n/** Possible TensorFlow backends */\nexport type BackendEnum = '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu';\n\n/** Possible values for `human.warmup` */\nexport type WarmupEnum = '' | 'none' | 'face' | 'full' | 'body';\n\n/** Possible segmentation model behavior */\nexport type SegmentationEnum = 'default' | 'alpha' | 'foreground' | 'state'\n\n/** Generic config type inherited by all module types */\nexport interface GenericConfig {\n /** is module enabled? */\n enabled: boolean,\n /** path to model json file (relative to `modelBasePath` */\n modelPath: string,\n /** how many max frames to go without re-running model if cached results are acceptable\n * for two-phase models such as face and hand caching applies to bounding boxes detection only */\n skipFrames: number,\n /** how many max milliseconds to go without re-running model if cached results are acceptable\n * for two-phase models such as face and hand caching applies to bounding boxes detection only */\n skipTime: number,\n}\n\n/** Detector part of face configuration */\nexport interface FaceDetectorConfig extends GenericConfig {\n /** is face rotation correction performed after detecting face?\n * used to correctly analyze faces under high angles\n */\n rotation: boolean,\n /** maximum number of detected faces */\n maxDetected: number,\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n /** minimum size in pixels of a detected face box before resutls are discared */\n minSize: number,\n /** minimum overlap between two detected faces before one is discarded */\n iouThreshold: number,\n /** should child models perform on masked image of a face */\n mask: boolean,\n /** should face detection return processed and cropped face tensor that can with an external model for addtional processing?\n * if enabled it must be manually deallocated to avoid memory leak */\n return: boolean,\n}\n\n/** Mesh part of face configuration */\nexport interface FaceMeshConfig extends GenericConfig {\n /** Keep detected faces that cannot be verified using facemesh */\n keepInvalid: boolean\n}\n\n/** Iris part of face configuration */\nexport interface FaceIrisConfig extends GenericConfig {}\n\n/** Attention part of face configuration */\nexport interface FaceAttentionConfig extends GenericConfig {}\n\n/** Description or face embedding part of face configuration\n * - also used by age and gender detection\n */\nexport interface FaceDescriptionConfig extends GenericConfig {\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n}\n\n/** Emotion part of face configuration */\nexport interface FaceEmotionConfig extends GenericConfig {\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n}\n\n/** Anti-spoofing part of face configuration */\nexport interface FaceAntiSpoofConfig extends GenericConfig {}\n\n/** Liveness part of face configuration */\nexport interface FaceLivenessConfig extends GenericConfig {}\n\n/** Gear part of face configuration */\nexport interface FaceGearConfig extends GenericConfig {\n /** minimum confidence for a detected race before results are discarded */\n minConfidence: number,\n}\n\n/** Configures all face-specific options: face detection, mesh analysis, age, gender, emotion detection and face description */\nexport interface FaceConfig extends GenericConfig {\n detector: Partial,\n mesh: Partial,\n attention: Partial,\n iris: Partial,\n description: Partial,\n emotion: Partial,\n antispoof: Partial,\n liveness: Partial,\n gear: Partial,\n}\n\n/** Configures all body detection specific options */\nexport interface BodyConfig extends GenericConfig {\n /** maximum number of detected bodies */\n maxDetected: number,\n /** minimum confidence for a detected body before results are discarded */\n minConfidence: number,\n /* experimental\n /** experimental: detector used for body model before actual analysis\n detector?: {\n /** experimental: enable body detector before body landmarks\n enabled: boolean,\n /** experimental: path to optional body detector model json file\n modelPath: string,\n /** experimental: minimum confidence for a detected body before results are discarded\n minConfidence: number,\n /** experimental: minimum overlap between two detected bodies before one is discarded\n iouThreshold: number\n },\n */\n}\n\n/** Configures all hand detection specific options */\nexport interface HandConfig extends GenericConfig {\n /** should hand rotation correction be performed after hand detection? */\n rotation: boolean,\n /** minimum confidence for a detected hand before results are discarded */\n minConfidence: number,\n /** minimum overlap between two detected hands before one is discarded */\n iouThreshold: number,\n /** maximum number of detected hands */\n maxDetected: number,\n /** should hand landmarks be detected or just return detected hand box */\n landmarks: boolean,\n detector: {\n /** path to hand detector model json */\n modelPath?: string,\n },\n skeleton: {\n /** path to hand skeleton model json */\n modelPath?: string,\n },\n}\n\n/** Configures all object detection specific options */\nexport interface ObjectConfig extends GenericConfig {\n /** minimum confidence for a detected objects before results are discarded */\n minConfidence: number,\n /** minimum overlap between two detected objects before one is discarded */\n iouThreshold: number,\n /** maximum number of detected objects */\n maxDetected: number,\n}\n\n/** Configures all body segmentation module\n * removes background from input containing person\n * if segmentation is enabled it will run as preprocessing task before any other model\n * alternatively leave it disabled and use it on-demand using human.segmentation method which can\n * remove background or replace it with user-provided background\n*/\nexport interface SegmentationConfig extends GenericConfig {\n /** downsample ratio, adjust to reflect approximately how much of input is taken by body */\n ratio: number,\n /** possible rvm segmentation mode */\n mode: SegmentationEnum,\n}\n\n/** Run input through image filters before inference\n * - available only in Browser environments\n * - image filters run with near-zero latency as they are executed on the GPU using WebGL\n*/\nexport interface FilterConfig {\n /** are image filters enabled? */\n enabled: boolean,\n /** perform image histogram equalization\n * - equalization is performed on input as a whole and detected face before its passed for further analysis\n */\n equalization: boolean,\n /** resize input width\n * - if both width and height are set to 0, there is no resizing\n * - if just one is set, second one is scaled automatically\n * - if both are set, values are used as-is\n */\n width: number,\n /** resize input height\n * - if both width and height are set to 0, there is no resizing\n * - if just one is set, second one is scaled automatically\n * - if both are set, values are used as-is\n */\n height: number,\n /** return processed canvas imagedata in result */\n return: boolean,\n /** flip input as mirror image */\n flip: boolean,\n /** apply auto-brighness */\n autoBrightness: boolean,\n /** range: -1 (darken) to 1 (lighten) */\n brightness: number,\n /** range: -1 (reduce contrast) to 1 (increase contrast) */\n contrast: number,\n /** range: 0 (no sharpening) to 1 (maximum sharpening) */\n sharpness: number,\n /** range: 0 (no blur) to N (blur radius in pixels) */\n blur: number\n /** range: -1 (reduce saturation) to 1 (increase saturation) */\n saturation: number,\n /** range: 0 (no change) to 360 (hue rotation in degrees) */\n hue: number,\n /** image negative */\n negative: boolean,\n /** image sepia colors */\n sepia: boolean,\n /** image vintage colors */\n vintage: boolean,\n /** image kodachrome colors */\n kodachrome: boolean,\n /** image technicolor colors */\n technicolor: boolean,\n /** image polaroid camera effect */\n polaroid: boolean,\n /** range: 0 (no pixelate) to N (number of pixels to pixelate) */\n pixelate: number,\n}\n\n/** Controlls gesture detection */\nexport interface GestureConfig {\n /** is gesture detection enabled? */\n enabled: boolean,\n}\n/**\n * Configuration interface definition for **Human** library\n * Contains all configurable parameters\n * Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262)\n */\nexport interface Config {\n /** Backend used for TFJS operations\n * valid build-in backends are:\n * - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`\n * - NodeJS: `cpu`, `wasm`, `tensorflow`\n * default: `webgl` for browser and `tensorflow` for nodejs\n */\n backend: BackendEnum,\n\n /** Path to *.wasm files if backend is set to `wasm`\n *\n * default: auto-detects to link to CDN `jsdelivr` when running in browser\n */\n wasmPath: string,\n\n /** Force WASM loader to use platform fetch\n *\n * default: false\n */\n wasmPlatformFetch: boolean,\n\n /** Print debug statements to console\n *\n * default: `true`\n */\n debug: boolean,\n\n /** Perform model loading and inference concurrently or sequentially\n *\n * default: `true`\n */\n async: boolean,\n\n /** What to use for `human.warmup()`\n * - warmup pre-initializes all models for faster inference but can take significant time on startup\n * - used by `webgl`, `humangl` and `webgpu` backends\n *\n * default: `full`\n */\n warmup: WarmupEnum,\n\n /** Base model path (typically starting with file://, http:// or https://) for all models\n * - individual modelPath values are relative to this path\n *\n * default: `../models/` for browsers and `file://models/` for nodejs\n */\n modelBasePath: string,\n\n /** Cache models in IndexDB on first sucessfull load\n * default: true if indexdb is available (browsers), false if its not (nodejs)\n */\n cacheModels: boolean,\n\n /** Validate kernel ops used in model during model load\n * default: true\n * any errors will be printed on console but will be treated as non-fatal\n */\n validateModels: boolean,\n\n /** Cache sensitivity\n * - values 0..1 where 0.01 means reset cache if input changed more than 1%\n * - set to 0 to disable caching\n *\n * default: 0.7\n */\n cacheSensitivity: number;\n\n /** Explicit flags passed to initialize TFJS */\n flags: Record,\n\n /** Software Kernels\n * Registers software kernel ops running on CPU when accelerated version of kernel is not found in the current backend\n */\n softwareKernels: boolean,\n\n /** Perform immediate garbage collection on deallocated tensors instead of caching them */\n deallocate: boolean;\n\n /** Internal Variable */\n skipAllowed: boolean;\n\n /** Filter config {@link FilterConfig} */\n filter: Partial,\n\n /** Gesture config {@link GestureConfig} */\n gesture: Partial;\n\n /** Face config {@link FaceConfig} */\n face: Partial,\n\n /** Body config {@link BodyConfig} */\n body: Partial,\n\n /** Hand config {@link HandConfig} */\n hand: Partial,\n\n /** Object config {@link ObjectConfig} */\n object: Partial,\n\n /** Segmentation config {@link SegmentationConfig} */\n segmentation: Partial,\n}\n\n/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) */\nconst config: Config = {\n backend: '',\n modelBasePath: '',\n cacheModels: true,\n validateModels: true,\n wasmPath: '',\n wasmPlatformFetch: false,\n debug: false,\n async: true,\n warmup: 'full',\n cacheSensitivity: 0.70,\n skipAllowed: false,\n deallocate: false,\n flags: {},\n softwareKernels: false,\n filter: {\n enabled: true,\n equalization: false,\n width: 0,\n height: 0,\n flip: false,\n return: true,\n autoBrightness: true,\n brightness: 0,\n contrast: 0,\n sharpness: 0,\n blur: 0,\n saturation: 0,\n hue: 0,\n negative: false,\n sepia: false,\n vintage: false,\n kodachrome: false,\n technicolor: false,\n polaroid: false,\n pixelate: 0,\n },\n gesture: {\n enabled: true,\n },\n face: {\n enabled: true,\n detector: {\n modelPath: 'blazeface.json',\n rotation: false,\n maxDetected: 1,\n skipFrames: 99,\n skipTime: 2500,\n minConfidence: 0.2,\n minSize: 0,\n iouThreshold: 0.1,\n mask: false,\n return: false,\n },\n mesh: {\n enabled: true,\n modelPath: 'facemesh.json',\n keepInvalid: false,\n },\n attention: {\n enabled: false,\n modelPath: 'facemesh-attention.json',\n },\n iris: {\n enabled: true,\n modelPath: 'iris.json',\n },\n emotion: {\n enabled: true,\n minConfidence: 0.1,\n skipFrames: 99,\n skipTime: 1500,\n modelPath: 'emotion.json',\n },\n description: {\n enabled: true,\n modelPath: 'faceres.json',\n skipFrames: 99,\n skipTime: 3000,\n minConfidence: 0.1,\n },\n antispoof: {\n enabled: false,\n skipFrames: 99,\n skipTime: 4000,\n modelPath: 'antispoof.json',\n },\n liveness: {\n enabled: false,\n skipFrames: 99,\n skipTime: 4000,\n modelPath: 'liveness.json',\n },\n },\n body: {\n enabled: true,\n modelPath: 'movenet-lightning.json',\n maxDetected: -1,\n minConfidence: 0.3,\n skipFrames: 1,\n skipTime: 200,\n },\n hand: {\n enabled: true,\n rotation: true,\n skipFrames: 99,\n skipTime: 1000,\n minConfidence: 0.50,\n iouThreshold: 0.2,\n maxDetected: -1,\n landmarks: true,\n detector: {\n modelPath: 'handtrack.json',\n },\n skeleton: {\n modelPath: 'handlandmark-lite.json',\n },\n },\n object: {\n enabled: false,\n modelPath: 'centernet.json',\n minConfidence: 0.2,\n iouThreshold: 0.4,\n maxDetected: 10,\n skipFrames: 99,\n skipTime: 2000,\n },\n segmentation: {\n enabled: false,\n modelPath: 'rvm.json',\n ratio: 0.5,\n mode: 'default',\n },\n};\n\nexport { config as defaults };\n", "export const vertexIdentity = `\n precision highp float;\n attribute vec2 pos;\n attribute vec2 uv;\n varying vec2 vUv;\n uniform float flipY;\n void main(void) {\n vUv = uv;\n gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);\n }\n`;\n\nexport const fragmentIdentity = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n void main(void) {\n gl_FragColor = texture2D(texture, vUv);\n }\n`;\n\nexport const colorMatrixWithAlpha = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform float m[20];\n void main(void) {\n vec4 c = texture2D(texture, vUv);\n gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];\n gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];\n gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];\n gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];\n }\n`;\n\nexport const colorMatrixWithoutAlpha = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform float m[20];\n void main(void) {\n vec4 c = texture2D(texture, vUv);\n gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];\n gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];\n gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];\n gl_FragColor.a = c.a;\n }\n`;\n\nexport const pixelate = `\n precision highp float;\n varying vec2 vUv;\n uniform vec2 size;\n uniform sampler2D texture;\n vec2 pixelate(vec2 coord, vec2 size) {\n return floor( coord / size ) * size;\n }\n void main(void) {\n gl_FragColor = vec4(0.0);\n vec2 coord = pixelate(vUv, size);\n gl_FragColor += texture2D(texture, coord);\n }\n`;\n\nexport const blur = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform vec2 px;\n void main(void) {\n gl_FragColor = vec4(0.0);\n gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;\n gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;\n gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;\n gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;\n gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;\n gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;\n gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;\n gl_FragColor += texture2D(texture, vUv )*0.159576912161;\n gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;\n gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;\n gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;\n gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;\n gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;\n gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;\n gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;\n }\n`;\n\nexport const convolution = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform vec2 px;\n uniform float m[9];\n void main(void) {\n vec4 c11 = texture2D(texture, vUv - px); // top left\n vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center\n vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right\n vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left\n vec4 c22 = texture2D(texture, vUv); // mid center\n vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right\n vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left\n vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center\n vec4 c33 = texture2D(texture, vUv + px ); // bottom right\n gl_FragColor = \n c11 * m[0] + c12 * m[1] + c22 * m[2] +\n c21 * m[3] + c22 * m[4] + c23 * m[5] +\n c31 * m[6] + c32 * m[7] + c33 * m[8];\n gl_FragColor.a = c22.a;\n }\n`;\n", "/**\n * Image Filters in WebGL algoritm implementation\n * Based on: [WebGLImageFilter](https://github.com/phoboslab/WebGLImageFilter)\n */\n\n/* eslint-disable func-names */\n\nimport * as shaders from './imagefxshaders';\nimport { canvas } from './image';\nimport { log } from '../util/util';\n\nconst collect = (source, prefix: string, collection) => {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n};\n\nclass GLProgram {\n uniform = {};\n attribute = {};\n gl: WebGLRenderingContext;\n id: WebGLProgram;\n\n constructor(gl, vertexSource, fragmentSource) {\n this.gl = gl;\n const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER);\n const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER);\n this.id = this.gl.createProgram() as WebGLProgram;\n if (!vertexShader || !fragmentShader) return;\n if (!this.id) {\n log('filter: could not create webgl program');\n return;\n }\n this.gl.attachShader(this.id, vertexShader);\n this.gl.attachShader(this.id, fragmentShader);\n this.gl.linkProgram(this.id);\n if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) {\n log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || 'unknown'}`);\n return;\n }\n this.gl.useProgram(this.id);\n collect(vertexSource, 'attribute', this.attribute); // Collect attributes\n for (const a in this.attribute) this.attribute[a] = this.gl.getAttribLocation(this.id, a);\n collect(vertexSource, 'uniform', this.uniform); // Collect uniforms\n collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = this.gl.getUniformLocation(this.id, u);\n }\n\n compile = (source, type): WebGLShader | null => {\n const shader = this.gl.createShader(type);\n if (!shader) {\n log('filter: could not create shader');\n return null;\n }\n this.gl.shaderSource(shader, source);\n this.gl.compileShader(shader);\n if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) {\n log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || 'unknown'}`);\n return null;\n }\n return shader;\n };\n}\n\n// function that is instantiated as class so it has private this members\n/**\n * @class GLImageFilter\n * @property {function} reset reset current filter chain\n * @property {function} add add specified filter to filter chain\n * @property {function} apply execute filter chain and draw result\n * @property {function} draw just draw input to result\n */\n\nexport function GLImageFilter() {\n let drawCount = 0;\n let sourceTexture: WebGLTexture | null = null;\n let lastInChain = false;\n let currentFramebufferIndex = -1;\n let tempFramebuffers: [null, null] | [{ fbo: WebGLFramebuffer | null, texture: WebGLTexture | null }] = [null, null];\n let filterChain: Record[] = [];\n let vertexBuffer: WebGLBuffer | null = null;\n let currentProgram: GLProgram | null = null;\n const fxcanvas = canvas(100, 100) as HTMLCanvasElement;\n const shaderProgramCache = { }; // key is the shader program source, value is the compiled program\n const DRAW = { INTERMEDIATE: 1 };\n const gl = fxcanvas.getContext('webgl') as WebGLRenderingContext;\n if (!gl) {\n log('filter: cannot get webgl context');\n return;\n }\n // @ts-ignore used for sanity checks outside of imagefx\n this.gl = gl;\n\n function resize(width, height) {\n if (width === fxcanvas.width && height === fxcanvas.height) return; // Same width/height? Nothing to do here\n fxcanvas.width = width;\n fxcanvas.height = height;\n if (!vertexBuffer) { // Create the context if we don't have it yet\n const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n vertexBuffer = gl.createBuffer();\n gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer);\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, fxcanvas.width, fxcanvas.height);\n tempFramebuffers = [null, null]; // Delete old temp framebuffers\n }\n\n function createFramebufferTexture(width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n }\n\n function getTempFramebuffer(index): { fbo: WebGLFramebuffer | null, texture: WebGLTexture | null } {\n tempFramebuffers[index] = tempFramebuffers[index] || createFramebufferTexture(fxcanvas.width, fxcanvas.height);\n return tempFramebuffers[index] as { fbo: WebGLFramebuffer, texture: WebGLTexture };\n }\n\n function draw(flags = 0) {\n if (!currentProgram) return;\n let source: WebGLTexture | null = null;\n let target: WebGLFramebuffer | null = null;\n let flipY = false;\n if (drawCount === 0) source = sourceTexture; // First draw call - use the source texture\n else source = getTempFramebuffer(currentFramebufferIndex).texture || null; // All following draw calls use the temp buffer last drawn to\n drawCount++;\n if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { // Last filter in our chain - draw directly to the WebGL Canvas. We may also have to flip the image vertically now\n target = null;\n flipY = drawCount % 2 === 0;\n } else {\n currentFramebufferIndex = (currentFramebufferIndex + 1) % 2;\n target = getTempFramebuffer(currentFramebufferIndex).fbo || null; // Intermediate draw call - get a temp buffer to draw to\n }\n gl.bindTexture(gl.TEXTURE_2D, source); // Bind the source and target and draw the two triangles\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(currentProgram.uniform['flipY'], (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n }\n\n function compileShader(fragmentSource): GLProgram | null {\n if (shaderProgramCache[fragmentSource]) {\n currentProgram = shaderProgramCache[fragmentSource];\n gl.useProgram((currentProgram ? currentProgram.id : null) || null);\n return currentProgram;\n }\n currentProgram = new GLProgram(gl, shaders.vertexIdentity, fragmentSource);\n if (!currentProgram) {\n log('filter: could not get webgl program');\n return null;\n }\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(currentProgram.attribute['pos']);\n gl.vertexAttribPointer(currentProgram.attribute['pos'], 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(currentProgram.attribute['uv']);\n gl.vertexAttribPointer(currentProgram.attribute['uv'], 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n shaderProgramCache[fragmentSource] = currentProgram;\n return currentProgram;\n }\n\n const filter = {\n colorMatrix: (matrix: number[]) => { // general color matrix filter\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0) // Can we ignore the alpha value? Makes things a bit faster.\n ? shaders.colorMatrixWithoutAlpha\n : shaders.colorMatrixWithAlpha;\n const program = compileShader(shader);\n if (!program) return;\n gl.uniform1fv(program.uniform['m'], m);\n draw();\n },\n\n brightness: (brightness: number) => {\n const b = (brightness || 0) + 1;\n filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n saturation: (amount: number) => {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n desaturate: () => {\n filter.saturation(-1);\n },\n\n contrast: (amount: number) => {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n negative: () => {\n filter.contrast(-2);\n },\n\n hue: (rotation: number) => {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n desaturateLuminance: () => {\n filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n sepia: () => {\n filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n brownie: () => {\n filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n vintagePinhole: () => {\n filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n kodachrome: () => {\n filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n technicolor: () => {\n filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n polaroid: () => {\n filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n shiftToBGR: () => {\n filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n convolution: (matrix: number[]) => { // general convolution Filter\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / fxcanvas.width;\n const pixelSizeY = 1 / fxcanvas.height;\n const program = compileShader(shaders.convolution);\n if (!program) return;\n gl.uniform1fv(program.uniform['m'], m);\n gl.uniform2f(program.uniform['px'], pixelSizeX, pixelSizeY);\n draw();\n },\n\n detectEdges: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n },\n\n sobelX: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n },\n\n sobelY: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n },\n\n sharpen: (amount) => {\n const a = amount || 1;\n // @ts-ignore this\n filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n },\n\n emboss: (size: number) => {\n const s = size || 1;\n // @ts-ignore this\n filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n },\n\n blur: (size: number) => {\n const blurSizeX = (size / 7) / fxcanvas.width;\n const blurSizeY = (size / 7) / fxcanvas.height;\n const program = compileShader(shaders.blur);\n if (!program) return;\n // Vertical\n gl.uniform2f(program.uniform['px'], 0, blurSizeY);\n draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform['px'], blurSizeX, 0);\n draw();\n },\n\n pixelate: (size: number) => {\n const blurSizeX = (size) / fxcanvas.width;\n const blurSizeY = (size) / fxcanvas.height;\n const program = compileShader(shaders.pixelate);\n if (!program) return;\n gl.uniform2f(program.uniform['size'], blurSizeX, blurSizeY);\n draw();\n },\n };\n\n // @ts-ignore this\n this.add = function (name) {\n const args = Array.prototype.slice.call(arguments, 1); // eslint-disable-line prefer-rest-params\n const func = filter[name];\n filterChain.push({ func, args });\n };\n\n // @ts-ignore this\n this.reset = function () {\n filterChain = [];\n };\n\n // @ts-ignore this\n this.get = function () {\n return filterChain;\n };\n\n // @ts-ignore this\n this.apply = function (image) {\n resize(image.width, image.height);\n drawCount = 0;\n if (!sourceTexture) sourceTexture = gl.createTexture(); // Create the texture for the input image if we haven't yet\n gl.bindTexture(gl.TEXTURE_2D, sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n for (let i = 0; i < filterChain.length; i++) {\n lastInChain = (i === filterChain.length - 1);\n const f = filterChain[i];\n // @ts-ignore function assigment\n f.func.apply(this, f.args || []);\n }\n return fxcanvas;\n };\n\n // @ts-ignore this\n this.draw = function (image) {\n this.add('brightness', 0);\n return this.apply(image);\n };\n}\n", "/**\n * Image enhancements\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Tensor } from '../tfjs/types';\n\nexport async function histogramEqualization(inputImage: Tensor): Promise {\n const squeeze = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage;\n const rgb = tf.split(squeeze, 3, 2);\n const min: Tensor[] = [tf.min(rgb[0]), tf.min(rgb[1]), tf.min(rgb[2])]; // minimum pixel value per channel T[]\n const max: Tensor[] = [tf.max(rgb[0]), tf.max(rgb[1]), tf.max(rgb[2])]; // maximum pixel value per channel T[]\n // const absMin = await Promise.all(min.map((channel) => channel.data())); // minimum pixel value per channel A[]\n // const minValue = Math.min(absMax[0][0], absMin[1][0], absMin[2][0]);\n const absMax = await Promise.all(max.map((channel) => channel.data())); // maximum pixel value per channel A[]\n const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]);\n const maxRange = maxValue > 1 ? 255 : 1;\n const factor = maxRange / maxValue;\n let final: Tensor;\n if (factor > 1) {\n const sub = [tf.sub(rgb[0], min[0]), tf.sub(rgb[1], min[1]), tf.sub(rgb[2], min[2])]; // channels offset by min values\n const range = [tf.sub(max[0], min[0]), tf.sub(max[1], min[1]), tf.sub(max[2], min[2])]; // channel ranges\n // const fact = [tf.div(maxRange, absMax[0]), tf.div(maxRange, absMax[1]), tf.div(maxRange, absMax[1])]; // factors between\n const enh = [tf.mul(sub[0], factor), tf.mul(sub[1], factor), tf.mul(sub[2], factor)];\n const stack = tf.stack([enh[0], enh[1], enh[2]], 2);\n final = tf.reshape(stack, [1, squeeze.shape[0] || 0, squeeze.shape[1] || 0, 3]);\n tf.dispose([...sub, ...range, ...enh]);\n } else {\n final = tf.expandDims(squeeze, 0);\n }\n tf.dispose([...rgb, ...min, ...max, rgb, squeeze, inputImage]);\n return final;\n}\n", "/**\n * Image Processing algorithm implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\nimport type { Input, AnyCanvas, Config } from '../exports';\nimport type { Tensor, Tensor3D, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport * as enhance from './enhance';\n\nconst maxSize = 3840;\n// internal temp canvases\nlet inCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\nlet outCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\nlet tmpCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\n// @ts-ignore // imagefx is js module that should be converted to a class\nlet fx: fxImage.GLImageFilter | null; // instance of imagefx\n\nconst last: { inputSum: number, cacheDiff: number, sumMethod: number, inputTensor: undefined | Tensor } = {\n inputSum: 0,\n cacheDiff: 1,\n sumMethod: 0,\n inputTensor: undefined,\n};\n\nexport function reset() {\n last.inputSum = 0;\n last.cacheDiff = 1;\n last.sumMethod = 0;\n last.inputTensor = undefined;\n}\n\nexport function canvas(width: number, height: number): AnyCanvas {\n let c: AnyCanvas;\n if (env.browser) { // browser defines canvas object\n if (env.worker) { // if runing in web worker use OffscreenCanvas\n if (typeof OffscreenCanvas === 'undefined') throw new Error('canvas error: attempted to run in web worker but OffscreenCanvas is not supported');\n c = new OffscreenCanvas(width, height);\n } else { // otherwise use DOM canvas\n if (typeof document !== 'undefined') {\n c = document.createElement('canvas');\n c.width = width;\n c.height = height;\n } else if (typeof navigator !== 'undefined' && navigator.product === 'ReactNative') {\n // @ts-ignore // env.canvas is an external monkey-patch\n if (typeof env.Canvas !== 'undefined') c = new env.Canvas(width, height);\n else if (typeof globalThis.Canvas !== 'undefined') c = new globalThis.Canvas(width, height);\n else throw new Error('canvas error: attempted to use canvas in react-native without canvas support installed');\n } else {\n throw new Error('canvas error: attempted to run in browser but DOM is not defined');\n }\n }\n } else { // if not running in browser, there is no \"default\" canvas object, so we need monkey patch or fail\n // @ts-ignore // env.canvas is an external monkey-patch\n if (typeof env.Canvas !== 'undefined') c = new env.Canvas(width, height);\n else if (typeof globalThis.Canvas !== 'undefined') c = new globalThis.Canvas(width, height);\n // else throw new Error('canvas error: attempted to use canvas in nodejs without canvas support installed');\n }\n // @ts-ignore its either defined or we already threw an error\n return c;\n}\n\n// helper function to copy canvas from input to output\nexport function copy(input: AnyCanvas, output?: AnyCanvas) {\n const outputCanvas = output || canvas(input.width, input.height);\n const ctx = outputCanvas.getContext('2d') as CanvasRenderingContext2D;\n ctx.drawImage(input, 0, 0);\n return outputCanvas;\n}\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport async function process(input: Input, config: Config, getTensor: boolean = true): Promise<{ tensor: Tensor4D | null, canvas: AnyCanvas | null }> {\n if (!input) {\n // throw new Error('input is missing');\n if (config.debug) log('input error: input is missing');\n return { tensor: null, canvas: null }; // video may become temporarily unavailable due to onresize\n }\n // sanity checks since different browsers do not implement all dom elements\n if (\n !(input instanceof tf.Tensor)\n && !(typeof Image !== 'undefined' && input instanceof Image)\n && !(typeof globalThis.Canvas !== 'undefined' && input instanceof globalThis.Canvas)\n && !(typeof ImageData !== 'undefined' && input instanceof ImageData)\n && !(typeof ImageBitmap !== 'undefined' && input instanceof ImageBitmap)\n && !(typeof HTMLImageElement !== 'undefined' && input instanceof HTMLImageElement)\n && !(typeof HTMLMediaElement !== 'undefined' && input instanceof HTMLMediaElement)\n && !(typeof HTMLVideoElement !== 'undefined' && input instanceof HTMLVideoElement)\n && !(typeof HTMLCanvasElement !== 'undefined' && input instanceof HTMLCanvasElement)\n && !(typeof OffscreenCanvas !== 'undefined' && input instanceof OffscreenCanvas)\n ) {\n throw new Error('input error: type not recognized');\n }\n if (input instanceof tf.Tensor) { // if input is tensor use as-is without filters but correct shape as needed\n let tensor: Tensor | null = null;\n if (input['isDisposedInternal']) throw new Error('input error: attempted to use tensor but it is disposed');\n if (!(input as Tensor).shape) throw new Error('input error: attempted to use tensor without a shape');\n if ((input as Tensor).shape.length === 3) { // [height, width, 3 || 4]\n if ((input as Tensor).shape[2] === 3) { // [height, width, 3] so add batch\n tensor = tf.expandDims(input, 0);\n } else if ((input as Tensor).shape[2] === 4) { // [height, width, 4] so strip alpha and add batch\n const rgb = tf.slice3d(input as Tensor3D, [0, 0, 0], [-1, -1, 3]);\n tensor = tf.expandDims(rgb, 0);\n tf.dispose(rgb);\n }\n } else if ((input as Tensor).shape.length === 4) { // [1, width, height, 3 || 4]\n if ((input as Tensor).shape[3] === 3) { // [1, width, height, 3] just clone\n tensor = tf.clone(input);\n } else if ((input as Tensor).shape[3] === 4) { // [1, width, height, 4] so strip alpha\n tensor = tf.slice4d(input as Tensor4D, [0, 0, 0, 0], [-1, -1, -1, 3]);\n }\n }\n // at the end shape must be [1, height, width, 3]\n if (tensor == null || tensor.shape.length !== 4 || tensor.shape[0] !== 1 || tensor.shape[3] !== 3) throw new Error(`input error: attempted to use tensor with unrecognized shape: ${((input as Tensor).shape).toString()}`);\n if ((tensor).dtype === 'int32') {\n const cast = tf.cast(tensor, 'float32');\n tf.dispose(tensor);\n tensor = cast;\n }\n return { tensor: tensor as Tensor4D, canvas: (config.filter.return ? outCanvas : null) };\n }\n // check if resizing will be needed\n if (typeof input['readyState'] !== 'undefined' && (input as HTMLMediaElement).readyState <= 2) {\n if (config.debug) log('input stream is not ready');\n return { tensor: null, canvas: inCanvas }; // video may become temporarily unavailable due to onresize\n }\n const originalWidth: number = input['naturalWidth'] || input['videoWidth'] || input['width'] || (input['shape'] && (input['shape'][1] > 0));\n const originalHeight: number = input['naturalHeight'] || input['videoHeight'] || input['height'] || (input['shape'] && (input['shape'][2] > 0));\n if (!originalWidth || !originalHeight) {\n if (config.debug) log('cannot determine input dimensions');\n return { tensor: null, canvas: inCanvas }; // video may become temporarily unavailable due to onresize\n }\n let targetWidth: number = originalWidth;\n let targetHeight: number = originalHeight;\n if (targetWidth > maxSize) {\n targetWidth = maxSize;\n targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth);\n }\n if (targetHeight > maxSize) {\n targetHeight = maxSize;\n targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight);\n }\n\n // create our canvas and resize it if needed\n if ((config.filter?.width || 0) > 0) targetWidth = config.filter.width as number;\n else if ((config.filter?.height || 0) > 0) targetWidth = originalWidth * ((config.filter.height || 0) / originalHeight);\n if ((config.filter.height || 0) > 0) targetHeight = config.filter.height as number;\n else if ((config.filter.width || 0) > 0) targetHeight = originalHeight * ((config.filter.width || 0) / originalWidth);\n if (!targetWidth || !targetHeight) throw new Error('input error: cannot determine dimension');\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) inCanvas = canvas(targetWidth, targetHeight);\n\n // draw input to our canvas\n const inCtx = inCanvas.getContext('2d') as CanvasRenderingContext2D;\n if ((typeof ImageData !== 'undefined') && (input instanceof ImageData)) {\n inCtx.putImageData(input, 0, 0);\n } else {\n if (config.filter.flip && typeof inCtx.translate !== 'undefined') {\n inCtx.translate(originalWidth, 0);\n inCtx.scale(-1, 1);\n inCtx.drawImage(input as AnyCanvas, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n inCtx.setTransform(1, 0, 0, 1, 0, 0); // resets transforms to defaults\n } else {\n inCtx.drawImage(input as AnyCanvas, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n }\n }\n\n if (!outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) outCanvas = canvas(inCanvas.width, inCanvas.height); // init output canvas\n\n // imagefx transforms using gl from input canvas to output canvas\n if (config.filter.enabled && env.webgl.supported) {\n if (!fx) fx = env.browser ? new fxImage.GLImageFilter() : null; // && (typeof document !== 'undefined')\n env.filter = !!fx;\n if (!fx?.add) {\n if (config.debug) log('input process error: cannot initialize filters');\n env.webgl.supported = false;\n config.filter.enabled = false;\n copy(inCanvas, outCanvas); // filter failed to initialize\n // return { tensor: null, canvas: inCanvas };\n } else {\n fx.reset();\n if (config.filter.brightness !== 0) fx.add('brightness', config.filter.brightness);\n if (config.filter.contrast !== 0) fx.add('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.add('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.add('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.add('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.add('hue', config.filter.hue);\n if (config.filter.negative) fx.add('negative');\n if (config.filter.sepia) fx.add('sepia');\n if (config.filter.vintage) fx.add('brownie');\n if (config.filter.sepia) fx.add('sepia');\n if (config.filter.kodachrome) fx.add('kodachrome');\n if (config.filter.technicolor) fx.add('technicolor');\n if (config.filter.polaroid) fx.add('polaroid');\n if (config.filter.pixelate !== 0) fx.add('pixelate', config.filter.pixelate);\n if (fx.get()?.length > 1) outCanvas = fx.apply(inCanvas);\n else outCanvas = fx.draw(inCanvas);\n }\n } else {\n copy(inCanvas, outCanvas); // if no filters applied, output canvas is input canvas\n if (fx) fx = null;\n env.filter = !!fx;\n }\n\n if (!getTensor) return { tensor: null, canvas: outCanvas }; // just canvas was requested\n if (!outCanvas) throw new Error('canvas error: cannot create output');\n\n // create tensor from image unless input was a tensor already\n let pixels;\n let depth = 3;\n if ((typeof ImageData !== 'undefined' && input instanceof ImageData) || ((input as ImageData).data && (input as ImageData).width && (input as ImageData).height)) { // if input is imagedata, just use it\n if (env.browser && tf.browser) {\n pixels = tf.browser ? tf.browser.fromPixels(input as ImageData) : null;\n } else {\n depth = (input as ImageData).data.length / (input as ImageData).height / (input as ImageData).width;\n // const arr = Uint8Array.from(input['data']);\n const arr = new Uint8Array((input as ImageData).data.buffer);\n pixels = tf.tensor(arr, [(input as ImageData).height, (input as ImageData).width, depth], 'int32');\n }\n } else {\n if (!tmpCanvas || (outCanvas.width !== tmpCanvas.width) || (outCanvas.height !== tmpCanvas.height)) tmpCanvas = canvas(outCanvas.width, outCanvas.height); // init output canvas\n if (tf.browser && env.browser) {\n if (config.backend === 'webgl' || config.backend === 'humangl' || config.backend === 'webgpu') {\n pixels = tf.browser.fromPixels(outCanvas as HTMLCanvasElement); // safe to reuse since both backend and context are gl based\n } else {\n tmpCanvas = copy(outCanvas); // cannot use output canvas as it already has gl context so we do a silly one more canvas\n pixels = tf.browser.fromPixels(tmpCanvas as HTMLCanvasElement);\n }\n } else {\n const tempCanvas = copy(outCanvas); // cannot use output canvas as it already has gl context so we do a silly one more canvas\n const tempCtx = tempCanvas.getContext('2d') as CanvasRenderingContext2D;\n const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight);\n depth = tempData.data.length / targetWidth / targetHeight;\n const arr = new Uint8Array(tempData.data.buffer);\n pixels = tf.tensor(arr, [targetWidth, targetHeight, depth]);\n }\n }\n if (depth === 4) { // rgba to rgb\n const rgb = tf.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); // strip alpha channel\n tf.dispose(pixels);\n pixels = rgb;\n }\n if (!pixels) throw new Error('input error: cannot create tensor');\n const casted: Tensor = tf.cast(pixels, 'float32');\n const tensor: Tensor = config.filter.equalization ? await enhance.histogramEqualization(casted) : tf.expandDims(casted, 0);\n tf.dispose([pixels, casted]);\n\n if (config.filter.autoBrightness) {\n const max = tf.max(tensor);\n const maxVal = await max.data();\n config.filter.brightness = maxVal[0] > 1 ? (1 - maxVal[0] / 255) : (1 - maxVal[0]);\n tf.dispose(max);\n }\n\n return { tensor: tensor as Tensor4D, canvas: (config.filter.return ? outCanvas : null) };\n}\n\n/*\nconst checksum = async (input: Tensor): Promise => { // use tf sum or js based sum loop depending on which is faster\n const resizeFact = 48;\n const reduced: Tensor = tf.image.resizeBilinear(input, [Math.trunc((input.shape[1] || 1) / resizeFact), Math.trunc((input.shape[2] || 1) / resizeFact)]);\n const tfSum = async (): Promise => {\n const sumT = tf.sum(reduced);\n const sum0 = await sumT.data();\n tf.dispose(sumT);\n return sum0[0];\n };\n const jsSum = async (): Promise => {\n const reducedData = await reduced.data(); // raw image rgb array\n let sum0 = 0;\n for (let i = 0; i < reducedData.length / 3; i++) sum0 += reducedData[3 * i + 2]; // look only at green value of each pixel\n return sum0;\n };\n if (last.sumMethod === 0) {\n const t0 = now();\n await jsSum();\n const t1 = now();\n await tfSum();\n const t2 = now();\n last.sumMethod = t1 - t0 < t2 - t1 ? 1 : 2;\n }\n const res = last.sumMethod === 1 ? await jsSum() : await tfSum();\n tf.dispose(reduced);\n return res;\n};\n*/\n\nexport async function skip(config: Partial, input: Tensor) {\n let skipFrame = false;\n if (config.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) return skipFrame; // cache disabled or input is invalid or too large for cache analysis\n\n /*\n const checkSum = await checksum(input);\n const diff = 100 * (Math.max(checkSum, last.inputSum) / Math.min(checkSum, last.inputSum) - 1);\n last.inputSum = checkSum;\n // if previous frame was skipped, skip this frame if changed more than cacheSensitivity\n // if previous frame was not skipped, then look for cacheSensitivity or difference larger than one in previous frame to avoid resetting cache in subsequent frames unnecessarily\n let skipFrame = diff < Math.max(config.cacheSensitivity, last.cacheDiff);\n // if difference is above 10x threshold, don't use last value to force reset cache for significant change of scenes or images\n last.cacheDiff = diff > 10 * config.cacheSensitivity ? 0 : diff;\n skipFrame = skipFrame && (last.cacheDiff > 0); // if no cached diff value then force no skip\n */\n\n if (!last.inputTensor) {\n last.inputTensor = tf.clone(input);\n } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { // input resolution changed\n tf.dispose(last.inputTensor);\n last.inputTensor = tf.clone(input);\n } else {\n const t: Record = {};\n t.diff = tf.sub(input, last.inputTensor);\n t.squared = tf.mul(t.diff, t.diff);\n t.sum = tf.sum(t.squared);\n const diffSum = await t.sum.data();\n const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; // squared difference relative to input resolution and averaged per channel\n tf.dispose([last.inputTensor, t.diff, t.squared, t.sum]);\n last.inputTensor = tf.clone(input);\n skipFrame = diffRelative <= (config.cacheSensitivity || 0);\n }\n return skipFrame;\n}\n\nexport async function compare(config: Partial, input1: Tensor, input2: Tensor): Promise {\n const t: Record = {};\n if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) {\n if (!config.debug) log('invalid input tensor or tensor shapes do not match:', input1.shape, input2.shape);\n return 0;\n }\n if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) {\n if (!config.debug) log('input tensors must be of shape [1, height, width, 3]:', input1.shape, input2.shape);\n return 0;\n }\n t.input1 = tf.clone(input1);\n t.input2 = (input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2]) ? tf.image.resizeBilinear(input2 as Tensor3D, [input1.shape[1], input1.shape[2]]) : tf.clone(input2);\n t.diff = tf.sub(t.input1, t.input2);\n t.squared = tf.mul(t.diff, t.diff);\n t.sum = tf.sum(t.squared);\n const diffSum = await t.sum.data();\n const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3;\n tf.dispose([t.input1, t.input2, t.diff, t.squared, t.sum]);\n return diffRelative;\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport * as image from '../image/image';\n\n/** Env class that holds detected capabilities */\nexport class Env {\n /** Running in Browser */\n browser: boolean;\n /** Running in NodeJS */\n node: boolean;\n /** Running in WebWorker thread */\n worker: boolean;\n /** Detected platform */\n platform: string = '';\n /** Detected agent */\n agent: string = '';\n /** List of supported backends */\n backends: string[] = [];\n /** Has any work been performed so far */\n initial: boolean;\n /** Are image filters supported? */\n filter: boolean | undefined;\n /** TFJS instance details */\n tfjs: {\n version: undefined | string,\n };\n /** Is offscreenCanvas supported? */\n offscreen: undefined | boolean;\n /** Are performance counter instant values or additive */\n perfadd: boolean = false;\n /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */\n tensorflow: {\n version: undefined | string,\n gpu: undefined | boolean,\n } = {\n version: undefined,\n gpu: undefined,\n };\n /** WASM detected capabilities */\n wasm: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n simd: undefined | boolean,\n multithread: undefined | boolean,\n } = {\n supported: undefined,\n backend: undefined,\n simd: undefined,\n multithread: undefined,\n };\n /** WebGL detected capabilities */\n webgl: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n version: undefined | string,\n renderer: undefined | string,\n shader: undefined | string,\n vendor: undefined | string,\n } = {\n supported: undefined,\n backend: undefined,\n version: undefined,\n renderer: undefined,\n shader: undefined,\n vendor: undefined,\n };\n /** WebGPU detected capabilities */\n webgpu: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n adapter: undefined | GPUAdapterInfo,\n } = {\n supported: undefined,\n backend: undefined,\n adapter: undefined,\n };\n /** CPU info */\n cpu: {\n model: undefined | string,\n flags: string[],\n } = {\n model: undefined,\n flags: [],\n };\n /** List of supported kernels for current backend */\n kernels: string[] = [];\n\n /** MonkeyPatch for Canvas/Image/ImageData */\n #canvas: undefined;\n #image: undefined;\n #imageData: undefined;\n\n get Canvas() { return this.#canvas; }\n set Canvas(val) { this.#canvas = val; globalThis.Canvas = val; }\n get Image() { return this.#image; }\n // @ts-ignore monkey-patch;\n set Image(val) { this.#image = val; globalThis.Image = val; }\n get ImageData() { return this.#imageData; }\n // @ts-ignore monkey-patch;\n set ImageData(val) { this.#imageData = val; globalThis.ImageData = val; }\n\n constructor() {\n this.browser = typeof navigator !== 'undefined';\n this.node = (typeof process !== 'undefined') && (typeof process.versions !== 'undefined') && (typeof process.versions.node !== 'undefined');\n this.tfjs = { version: tf.version['tfjs-core'] };\n this.offscreen = typeof OffscreenCanvas !== 'undefined';\n this.initial = true;\n\n // @ts-ignore WorkerGlobalScope evaluated in browser only\n this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;\n if ((typeof navigator !== 'undefined') && (typeof navigator.userAgent !== 'undefined')) { // TBD replace with navigator.userAgentData once in mainline\n const agent = navigator.userAgent || '';\n const raw = agent.match(/\\(([^()]+)\\)/g);\n if (raw?.[0]) {\n const platformMatch = raw[0].match(/\\(([^()]+)\\)/g);\n this.platform = (platformMatch?.[0]) ? platformMatch[0].replace(/\\(|\\)/g, '') : '';\n this.agent = agent.replace(raw[0], '');\n if (this.platform[1]) this.agent = this.agent.replace(raw[1], '');\n this.agent = this.agent.replace(/ /g, ' ');\n }\n } else if (typeof process !== 'undefined') {\n this.platform = `${process.platform} ${process.arch}`;\n this.agent = `NodeJS ${process.version}`;\n }\n }\n\n /** update backend information */\n async updateBackend() {\n // analyze backends\n this.backends = Object.keys(tf.engine().registryFactory);\n try { // backend may not be initialized\n this.tensorflow = {\n version: (tf.backend()['binding'] ? tf.backend()['binding'].TF_Version : undefined),\n gpu: (tf.backend()['binding'] ? tf.backend()['binding'].isUsingGpuDevice() : undefined),\n };\n } catch { /**/ }\n this.wasm.supported = typeof WebAssembly !== 'undefined';\n this.wasm.backend = this.backends.includes('wasm');\n if (this.wasm.supported && this.wasm.backend) {\n this.wasm.simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT') as boolean;\n this.wasm.multithread = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT') as boolean;\n }\n const c = image.canvas(100, 100);\n const gl = c ? c.getContext('webgl2') as WebGL2RenderingContext : undefined; // causes too many gl contexts\n this.webgl.supported = typeof gl !== 'undefined';\n this.webgl.backend = this.backends.includes('webgl');\n if (this.webgl.supported && this.webgl.backend && gl) {\n this.webgl.version = gl.getParameter(gl.VERSION);\n this.webgl.vendor = gl.getParameter(gl.VENDOR);\n this.webgl.renderer = gl.getParameter(gl.RENDERER);\n this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION);\n }\n this.webgpu.supported = this.browser && typeof navigator !== 'undefined' && typeof navigator.gpu !== 'undefined';\n this.webgpu.backend = this.backends.includes('webgpu');\n try {\n if (this.webgpu.supported) {\n const adapter = await navigator.gpu.requestAdapter();\n this.webgpu.adapter = await adapter?.requestAdapterInfo();\n }\n } catch {\n this.webgpu.supported = false;\n }\n try {\n this.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());\n } catch { /**/ }\n }\n\n /** update cpu information */\n updateCPU() {\n const cpu = { model: '', flags: [] };\n if (this.node && this.platform.startsWith('linux')) {\n /*\n const fs = require('fs');\n try {\n const data = fs.readFileSync('/proc/cpuinfo').toString();\n for (const line of data.split('\\n')) {\n if (line.startsWith('model name')) cpu.model = line.match(/:(.*)/g)[0].replace(':', '').trim();\n if (line.startsWith('flags')) cpu.flags = line.match(/:(.*)/g)[0].replace(':', '').trim().split(' ').sort();\n }\n } catch { }\n */\n }\n if (!this.cpu) Object.defineProperty(this, 'cpu', { value: cpu });\n else this.cpu = cpu;\n }\n}\n\nexport const env = new Env();\n", "import { log } from './util';\n\n// const log = (...msg) => console.log('webcam', ...msg); // eslint-disable-line no-console\n\n/** WebCam configuration */\nexport interface WebCamConfig {\n /**\n * element can be:\n * - string which indicates dom element id\n * - actual HTMLVideo dom element\n * - undefined in which case a new HTMLVideoElement will be created\n */\n element: string | HTMLVideoElement | undefined,\n /** print messages on console */\n debug: boolean,\n /** use front or back camera */\n mode: 'front' | 'back',\n /** camera crop mode */\n crop: boolean,\n /** desired webcam width */\n width: number,\n /** desired webcam height */\n height: number,\n /** deviceId of the video device to use */\n id?: string,\n}\n\nexport class WebCam { // eslint-disable-line @typescript-eslint/no-extraneous-class\n /** current webcam configuration */\n config: WebCamConfig;\n /** instance of dom element associated with webcam stream */\n element: HTMLVideoElement | undefined;\n /** active webcam stream */\n stream: MediaStream | undefined;\n /** enumerated video devices */\n devices: MediaDeviceInfo[] = [];\n\n constructor() {\n this.config = {\n element: undefined,\n debug: true,\n mode: 'front',\n crop: false,\n width: 0,\n height: 0,\n };\n }\n\n /** get active webcam stream track */\n public get track(): MediaStreamTrack | undefined {\n if (!this.stream) return undefined;\n return this.stream.getVideoTracks()[0];\n }\n\n /** get webcam capabilities */\n public get capabilities(): MediaTrackCapabilities | undefined {\n if (!this.track) return undefined;\n return this.track.getCapabilities ? this.track.getCapabilities() : undefined;\n }\n\n /** get webcam constraints */\n public get constraints(): MediaTrackConstraints | undefined {\n if (!this.track) return undefined;\n return this.track.getConstraints ? this.track.getConstraints() : undefined;\n }\n\n /** get webcam settings */\n public get settings(): MediaTrackSettings | undefined {\n if (!this.stream) return undefined;\n const track: MediaStreamTrack = this.stream.getVideoTracks()[0];\n return track.getSettings ? track.getSettings() : undefined;\n }\n\n /** get webcam label */\n public get label(): string {\n if (!this.track) return '';\n return this.track.label;\n }\n\n /** is webcam paused */\n public get paused(): boolean {\n return this.element?.paused || false;\n }\n\n /** webcam current width */\n public get width(): number {\n return this.element?.videoWidth || 0;\n }\n\n /** webcam current height */\n public get height(): number {\n return this.element?.videoHeight || 0;\n }\n\n public enumerate = async (): Promise => {\n try {\n const devices = await navigator.mediaDevices.enumerateDevices();\n this.devices = devices.filter((device) => device.kind === 'videoinput');\n } catch {\n this.devices = [];\n }\n return this.devices;\n };\n\n /** start method initializizes webcam stream and associates it with a dom video element */\n public start = async (webcamConfig?: Partial): Promise => {\n // set config\n if (webcamConfig?.debug) this.config.debug = webcamConfig?.debug;\n if (webcamConfig?.crop) this.config.crop = webcamConfig?.crop;\n if (webcamConfig?.mode) this.config.mode = webcamConfig?.mode;\n if (webcamConfig?.width) this.config.width = webcamConfig?.width;\n if (webcamConfig?.height) this.config.height = webcamConfig?.height;\n if (webcamConfig?.id) this.config.id = webcamConfig?.id;\n\n // use or create dom element\n if (webcamConfig?.element) {\n if (typeof webcamConfig.element === 'string') {\n const el = document.getElementById(webcamConfig.element);\n if (el && el instanceof HTMLVideoElement) {\n this.element = el;\n } else {\n if (this.config.debug) log('webcam', 'cannot get dom element', webcamConfig.element);\n return;\n }\n } else if (webcamConfig.element instanceof HTMLVideoElement) {\n this.element = webcamConfig.element;\n } else {\n if (this.config.debug) log('webcam', 'unknown dom element', webcamConfig.element);\n return;\n }\n } else {\n this.element = document.createElement('video');\n }\n\n // set constraints to use\n const requestedConstraints: MediaStreamConstraints = {\n audio: false,\n video: {\n facingMode: this.config.mode === 'front' ? 'user' : 'environment',\n // @ts-ignore // resizeMode is still not defined in tslib\n resizeMode: this.config.crop ? 'crop-and-scale' : 'none',\n },\n };\n if (this.config?.width > 0) (requestedConstraints.video as MediaTrackConstraints).width = { ideal: this.config.width };\n if (this.config?.height > 0) (requestedConstraints.video as MediaTrackConstraints).height = { ideal: this.config.height };\n if (this.config.id) (requestedConstraints.video as MediaTrackConstraintSet).deviceId = this.config.id;\n\n // set default event listeners\n this.element.addEventListener('play', () => { if (this.config.debug) log('webcam', 'play'); });\n this.element.addEventListener('pause', () => { if (this.config.debug) log('webcam', 'pause'); });\n this.element.addEventListener('click', async () => { // pause when clicked on screen and resume on next click\n if (!this.element || !this.stream) return;\n if (this.element.paused) await this.element.play();\n else this.element.pause();\n });\n\n // get webcam and set it to run in dom element\n if (!navigator?.mediaDevices) {\n if (this.config.debug) log('webcam', 'no devices');\n return;\n }\n try {\n this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); // get stream that satisfies constraints\n } catch (err) {\n log('webcam', err);\n return;\n }\n if (!this.stream) {\n if (this.config.debug) log('webcam', 'no stream');\n return;\n }\n this.element.srcObject = this.stream; // assign it to dom element\n const ready = new Promise((resolve) => { // wait until stream is ready\n if (!this.element) resolve(false);\n else this.element.onloadeddata = () => resolve(true);\n });\n await ready;\n await this.element.play(); // start playing\n\n if (this.config.debug) {\n log('webcam', {\n width: this.width,\n height: this.height,\n label: this.label,\n stream: this.stream,\n track: this.track,\n settings: this.settings,\n constraints: this.constraints,\n capabilities: this.capabilities,\n });\n }\n };\n\n /** pause webcam video method */\n public pause = (): void => {\n if (this.element) this.element.pause();\n };\n\n /** play webcam video method */\n public play = async (): Promise => {\n if (this.element) await this.element.play();\n };\n\n /** stop method stops active webcam stream track and disconnects webcam */\n public stop = (): void => {\n if (this.config.debug) log('webcam', 'stop');\n if (this.track) this.track.stop();\n };\n}\n", "{\n \"antispoof\": 853098,\n \"blazeface\": 538928,\n \"centernet\": 4030290,\n \"emotion\": 820516,\n \"facemesh\": 1477958,\n \"faceres\": 6978814,\n \"handlandmark-lite\": 2023432,\n \"handtrack\": 2964837,\n \"iris\": 2599092,\n \"liveness\": 592976,\n \"models\": 0,\n \"movenet-lightning\": 4650216,\n \"affectnet-mobilenet\": 6920630,\n \"age\": 161240,\n \"blazeface-back\": 538928,\n \"blazeface-front\": 402048,\n \"blazepose-detector\": 5928856,\n \"blazepose-full\": 6339202,\n \"blazepose-heavy\": 27502466,\n \"blazepose-lite\": 2726402,\n \"efficientpose\": 5651240,\n \"faceboxes\": 2013002,\n \"facemesh-attention-pinto\": 2387598,\n \"facemesh-attention\": 2382414,\n \"facemesh-detection-full\": 1026192,\n \"facemesh-detection-short\": 201268,\n \"faceres-deep\": 13957620,\n \"gear-e1\": 112438,\n \"gear-e2\": 112438,\n \"gear\": 1498916,\n \"gender-ssrnet-imdb\": 161236,\n \"gender\": 201808,\n \"handdetect\": 3515612,\n \"handlandmark-full\": 5431368,\n \"handlandmark-sparse\": 5286322,\n \"handskeleton\": 5502280,\n \"meet\": 372228,\n \"mobileface\": 2183192,\n \"mobilefacenet\": 5171976,\n \"movenet-multipose\": 9448838,\n \"movenet-thunder\": 12477112,\n \"nanodet\": 7574558,\n \"posenet\": 5032780,\n \"rvm\": 3739355,\n \"selfie\": 212886,\n \"anti-spoofing\": 853098,\n \"efficientpose-i-lite\": 2269064,\n \"efficientpose-ii-lite\": 5651240,\n \"efficientpose-iv\": 25643252,\n \"insightface-efficientnet-b0\": 13013224,\n \"insightface-ghostnet-strides1\": 8093408,\n \"insightface-ghostnet-strides2\": 8049584,\n \"insightface-mobilenet-emore\": 6938536,\n \"insightface-mobilenet-swish\": 12168584,\n \"nanodet-e\": 12319156,\n \"nanodet-g\": 7574558,\n \"nanodet-m\": 1887474,\n \"nanodet-t\": 5294216\n}", "import * as tf from 'dist/tfjs.esm.js';\nimport { log, join } from '../util/util';\nimport type { GraphModel } from './types';\nimport type { Config } from '../config';\nimport * as modelsDefs from '../../models/models.json';\n\nconst options = {\n cacheModels: true,\n cacheSupported: true,\n verbose: true,\n debug: false,\n modelBasePath: '',\n};\n\nexport interface ModelInfo {\n name: string,\n inCache: boolean,\n sizeDesired: number,\n sizeFromManifest: number,\n sizeLoadedWeights: number,\n url: string,\n}\n\nexport const modelStats: Record = {};\n\nasync function httpHandler(url: string, init?: RequestInit): Promise {\n if (options.debug) log('load model fetch:', url, init);\n return fetch(url, init);\n}\n\nexport function setModelLoadOptions(config: Config) {\n options.cacheModels = config.cacheModels;\n options.verbose = config.debug;\n options.modelBasePath = config.modelBasePath;\n}\n\nexport async function loadModel(modelPath: string | undefined): Promise {\n let modelUrl = join(options.modelBasePath, modelPath || '');\n if (!modelUrl.toLowerCase().endsWith('.json')) modelUrl += '.json';\n const modelPathSegments = modelUrl.includes('/') ? modelUrl.split('/') : modelUrl.split('\\\\');\n const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace('.json', '');\n const cachedModelName = 'indexeddb://' + shortModelName; // generate short model name for cache\n modelStats[shortModelName] = {\n name: shortModelName,\n sizeFromManifest: 0,\n sizeLoadedWeights: 0,\n sizeDesired: modelsDefs[shortModelName],\n inCache: false,\n url: '',\n };\n options.cacheSupported = (typeof indexedDB !== 'undefined'); // check if localStorage and indexedb are available\n let cachedModels = {};\n try {\n cachedModels = (options.cacheSupported && options.cacheModels) ? await tf.io.listModels() : {}; // list all models already in cache // this fails for webview although localStorage is defined\n } catch {\n options.cacheSupported = false;\n }\n modelStats[shortModelName].inCache = (options.cacheSupported && options.cacheModels) && Object.keys(cachedModels).includes(cachedModelName); // is model found in cache\n modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl;\n const tfLoadOptions = typeof fetch === 'undefined' ? {} : { fetchFunc: (url: string, init?: RequestInit) => httpHandler(url, init) };\n let model: GraphModel = new tf.GraphModel(modelStats[shortModelName].url, tfLoadOptions) as unknown as GraphModel; // create model prototype and decide if load from cache or from original modelurl\n let loaded = false;\n try {\n // @ts-ignore private function\n model.findIOHandler(); // decide how to actually load a model\n if (options.debug) log('model load handler:', model['handler']);\n } catch (err) {\n log('error finding model i/o handler:', modelUrl, err);\n }\n try {\n // @ts-ignore private property\n const artifacts = await model.handler?.load() || null; // load manifest\n modelStats[shortModelName].sizeFromManifest = artifacts?.weightData?.byteLength || 0;\n if (artifacts) model.loadSync(artifacts); // load weights\n else model = await tf.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions) as unknown as GraphModel;\n // @ts-ignore private property\n modelStats[shortModelName].sizeLoadedWeights = model.artifacts?.weightData?.byteLength || 0;\n if (options.verbose) log('load:', { model: shortModelName, url: model['modelUrl'], bytes: modelStats[shortModelName].sizeLoadedWeights });\n loaded = true;\n } catch (err) {\n log('error loading model:', modelUrl, err);\n }\n if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { // save model to cache\n try {\n const saveResult = await model.save(cachedModelName);\n if (options.debug) log('model saved:', cachedModelName, saveResult);\n } catch (err) {\n log('error saving model:', modelUrl, err);\n }\n }\n return model;\n}\n", "{\n \"name\": \"@vladmandic/human\",\n \"version\": \"3.0.6\",\n \"description\": \"Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition\",\n \"sideEffects\": false,\n \"main\": \"dist/human.node.js\",\n \"module\": \"dist/human.esm.js\",\n \"browser\": \"dist/human.esm.js\",\n \"types\": \"types/human.d.ts\",\n \"exports\": {\n \"node\": {\n \"require\": \"./dist/human.node.js\",\n \"import\": \"./dist/human.node.js\",\n \"module\": \"./dist/human.node.js\"\n },\n \"require\": \"./dist/human.node.js\",\n \"import\": \"./dist/human.esm.js\",\n \"script\": \"./dist/human.js\",\n \"module\": \"./dist/human.esm.js\",\n \"types\": \"./types/human.d.ts\",\n \"dist/human\": \"./dist/human.js\",\n \"dist/human.js\": \"./dist/human.js\",\n \"dist/human.esm\": \"./dist/human.esm.js\",\n \"dist/human.esm.js\": \"./dist/human.esm.js\",\n \"dist/human.esm-nobundle\": \"./dist/human.esm-nobundle.js\",\n \"dist/human.esm-nobundle.js\": \"./dist/human.esm-nobundle.js\",\n \"dist/human.node\": \"./dist/human.node.js\",\n \"dist/human.node.js\": \"./dist/human.node.js\",\n \"dist/human.node-wasm\": \"./dist/human.node-wasm.js\",\n \"dist/human.node-wasm.js\": \"./dist/human.node-wasm.js\",\n \"dist/human.node-gpu\": \"./dist/human.node-gpu.js\",\n \"dist/human.node-gpu.js\": \"./dist/human.node-gpu.js\"\n },\n \"author\": \"Vladimir Mandic \",\n \"bugs\": {\n \"url\": \"https://github.com/vladmandic/human/issues\"\n },\n \"homepage\": \"https://vladmandic.github.io/human/demo/index.html\",\n \"license\": \"MIT\",\n \"engines\": {\n \"node\": \">=14.0.0\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/vladmandic/human.git\"\n },\n \"scripts\": {\n \"start\": \"node --no-warnings demo/nodejs/node.js\",\n \"dev\": \"build --profile development\",\n \"clean\": \"build --profile clean\",\n \"build\": \"rimraf test/build.log && node build.js\",\n \"test\": \"node --no-warnings --unhandled-rejections=strict --trace-uncaught test/node.js\",\n \"lint\": \"eslint *.json *.js src demo test models wiki\",\n \"scan\": \"npx auditjs@latest ossi --dev --quiet\"\n },\n \"keywords\": [\n \"human\",\n \"human-library\",\n \"face-detection\",\n \"faceid\",\n \"face-geometry\",\n \"face-embedding\",\n \"face-recognition\",\n \"face-description\",\n \"face-matching\",\n \"body-tracking\",\n \"body-segmentation\",\n \"hand-tracking\",\n \"iris-tracking\",\n \"age-estimation\",\n \"emotion-detection\",\n \"gender-prediction\",\n \"gesture-recognition\",\n \"gaze-tracking\",\n \"age-gender\",\n \"tensorflowjs\",\n \"tfjs\",\n \"tensorflow\"\n ],\n \"devDependencies\": {\n \"@html-eslint/eslint-plugin\": \"^0.17.2\",\n \"@html-eslint/parser\": \"^0.17.1\",\n \"@microsoft/api-extractor\": \"^7.34.4\",\n \"@tensorflow/tfjs-backend-cpu\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-wasm\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgl\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgpu\": \"0.0.1-alpha.17\",\n \"@tensorflow/tfjs-converter\": \"^4.2.0\",\n \"@tensorflow/tfjs-core\": \"^4.2.0\",\n \"@tensorflow/tfjs-data\": \"^4.2.0\",\n \"@tensorflow/tfjs-layers\": \"^4.2.0\",\n \"@tensorflow/tfjs-node\": \"^4.2.0\",\n \"@tensorflow/tfjs-node-gpu\": \"^4.2.0\",\n \"@types/node\": \"^18.15.11\",\n \"@types/offscreencanvas\": \"^2019.7.0\",\n \"@typescript-eslint/eslint-plugin\": \"^5.57.0\",\n \"@typescript-eslint/parser\": \"^5.57.0\",\n \"@vladmandic/build\": \"^0.9.2\",\n \"@vladmandic/pilogger\": \"^0.4.7\",\n \"@vladmandic/tfjs\": \"github:vladmandic/tfjs\",\n \"canvas\": \"^2.11.2\",\n \"esbuild\": \"^0.17.15\",\n \"eslint\": \"8.37.0\",\n \"eslint-config-airbnb-base\": \"^15.0.0\",\n \"eslint-plugin-html\": \"^7.1.0\",\n \"eslint-plugin-import\": \"^2.27.5\",\n \"eslint-plugin-json\": \"^3.1.0\",\n \"eslint-plugin-markdown\": \"^3.0.0\",\n \"eslint-plugin-node\": \"^11.1.0\",\n \"eslint-plugin-promise\": \"^6.1.1\",\n \"rimraf\": \"^4.4.1\",\n \"tslib\": \"^2.5.0\",\n \"typedoc\": \"0.23.28\",\n \"typescript\": \"5.0.3\"\n }\n}\n", "/** TFJS custom backend registration */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Human } from '../human';\nimport { log } from '../util/util';\nimport * as image from '../image/image';\nimport type { AnyCanvas } from '../exports';\n\nexport const config = {\n name: 'humangl',\n priority: 999,\n canvas: null as null | AnyCanvas,\n gl: null as null | WebGL2RenderingContext,\n extensions: [] as string[] | null,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false, // default=true\n desynchronized: true, // default=undefined\n },\n};\n\nfunction extensions(): void {\n /*\n https://www.khronos.org/registry/webgl/extensions/\n https://webglreport.com/?v=2\n */\n const gl = config.gl;\n if (!gl) return;\n config.extensions = gl.getSupportedExtensions();\n // gl.getExtension('KHR_parallel_shader_compile');\n}\n\n/**\n * Registers custom WebGL2 backend to be used by Human library\n *\n * @returns void\n */\nexport function register(instance: Human): void {\n // force backend reload if gl context is not valid\n if (instance.config.backend !== 'humangl') return;\n if ((config.name in tf.engine().registry) && !config?.gl?.getParameter(config.gl.VERSION)) {\n log('humangl error: backend invalid context');\n instance.models.reset();\n /*\n log('resetting humangl backend');\n await tf.removeBackend(config.name);\n await register(instance); // re-register\n */\n }\n if (!tf.findBackend(config.name)) {\n try {\n config.canvas = image.canvas(100, 100);\n } catch (err) {\n log('humangl error: cannot create canvas:', err);\n return;\n }\n try {\n config.gl = config.canvas.getContext('webgl2', config.webGLattr) as WebGL2RenderingContext;\n if (!config.gl) {\n log('humangl error: cannot get webgl context');\n return;\n }\n const glv2 = config.gl.getParameter(config.gl.VERSION).includes('2.0');\n if (!glv2) {\n log('backend override: using fallback webgl backend as webgl 2.0 is not detected');\n instance.config.backend = 'webgl';\n return;\n }\n if (config.canvas) {\n config.canvas.addEventListener('webglcontextlost', (e) => {\n log('humangl error:', e.type);\n log('possible browser memory leak using webgl or conflict with multiple backend registrations');\n instance.emit('error');\n throw new Error('backend error: webgl context lost');\n });\n config.canvas.addEventListener('webglcontextrestored', (e) => {\n log('humangl error: context restored:', e);\n });\n config.canvas.addEventListener('webglcontextcreationerror', (e) => {\n log('humangl error: context create:', e);\n });\n }\n } catch (err) {\n log('humangl error: cannot get webgl context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('humangl error: cannot set webgl context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n // @ts-ignore uncompatible kernelMs timing info\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('humangl error: cannot register webgl backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('humangl error: cannot update webgl backend registration:', err);\n return;\n }\n try {\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_VERSION) tf.env().set('WEBGL_VERSION', 2);\n } catch (err) {\n log('humangl error: cannot set WebGL backend flags:', err);\n return;\n }\n extensions();\n const backend = tf.backend();\n const current = typeof backend['gpgpu'] !== 'undefined' ? backend['getGPGPUContext']().gl : null;\n if (current) {\n if (instance.config.debug) log('humangl backend registered:', { webgl: current.getParameter(current.VERSION) as string, renderer: current.getParameter(current.RENDERER) as string });\n } else {\n log('humangl error: no current gl context:', current, config.gl);\n }\n }\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { Tensor } from './types';\n\nexport const constants: Record = {\n tf255: 255.0,\n tf1: 1.0,\n tf2: 2.0,\n tf05: 0.5,\n tf127: 127.5,\n rgb: [0.2989, 0.5870, 0.1140],\n};\n\nexport function init() {\n constants.tf255 = tf.scalar(255.0, 'float32');\n constants.tf1 = tf.scalar(1.0, 'float32');\n constants.tf2 = tf.scalar(2.0, 'float32');\n constants.tf05 = tf.scalar(0.5, 'float32');\n constants.tf127 = tf.scalar(127.5, 'float32');\n constants.rgb = tf.tensor1d([0.2989, 0.5870, 0.1140], 'float32'); // factors for red/green/blue colors when converting to grayscale\n}\n", "/** TFJS backend initialization and customization */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Human, Config, BackendEnum } from '../human';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as humangl from './humangl';\nimport * as constants from './constants';\nimport type { TensorInfo } from './types';\n\nexport async function getBestBackend(): Promise {\n await env.updateBackend(); // update env on backend init\n if (env.tensorflow?.version) return 'tensorflow';\n if (env.webgpu.supported && env.webgpu.backend) return 'webgpu';\n if (env.webgl.supported && env.webgl.backend) return 'webgl';\n if (env.wasm.supported && env.wasm.backend) return 'wasm';\n return 'cpu';\n}\n\nfunction registerCustomOps(config: Config) {\n const newKernels: string[] = [];\n if (!env.kernels.includes('mod')) {\n const kernelMod = {\n kernelName: 'Mod',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => tf.sub(op.inputs.a, tf.mul(tf.div(op.inputs.a, op.inputs.b), op.inputs.b))),\n };\n tf.registerKernel(kernelMod);\n env.kernels.push('mod');\n newKernels.push('mod');\n }\n if (!env.kernels.includes('floormod')) {\n const kernelFloorMod = {\n kernelName: 'FloorMod',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => tf.add(tf.mul(tf.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tf.mod(op.inputs.a, op.inputs.b))),\n };\n tf.registerKernel(kernelFloorMod);\n env.kernels.push('floormod');\n newKernels.push('floormod');\n }\n /*\n if (!env.kernels.includes('atan2') && config.softwareKernels) {\n const kernelAtan2 = {\n kernelName: 'Atan2',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => {\n const backend = tf.getBackend();\n tf.setBackend('cpu');\n const t = tf.atan2(op.inputs.a, op.inputs.b);\n tf.setBackend(backend);\n return t;\n }),\n };\n if (config.debug) log('registered kernel:', 'atan2');\n log('registered kernel:', 'atan2');\n tf.registerKernel(kernelAtan2);\n env.kernels.push('atan2');\n newKernels.push('atan2');\n }\n */\n if (!env.kernels.includes('rotatewithoffset') && config.softwareKernels) {\n const kernelRotateWithOffset = {\n kernelName: 'RotateWithOffset',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => {\n const backend = tf.getBackend();\n tf.setBackend('cpu'); // eslint-disable-line @typescript-eslint/no-floating-promises\n const t = tf.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center);\n tf.setBackend(backend); // eslint-disable-line @typescript-eslint/no-floating-promises\n return t;\n }),\n };\n tf.registerKernel(kernelRotateWithOffset);\n env.kernels.push('rotatewithoffset');\n newKernels.push('rotatewithoffset');\n }\n if ((newKernels.length > 0) && config.debug) log('registered kernels:', newKernels);\n}\n\nlet defaultFlags: Record = {};\n\nexport async function check(instance: Human, force = false) {\n instance.state = 'backend';\n if (instance.config.backend?.length === 0) instance.config.backend = await getBestBackend();\n if (force || env.initial || (instance.config.backend && (instance.config.backend.length > 0) && (tf.getBackend() !== instance.config.backend))) {\n const timeStamp = now();\n\n if (instance.config.backend && instance.config.backend.length > 0) {\n // detect web worker\n // @ts-ignore ignore missing type for WorkerGlobalScope as that is the point\n if (typeof window === 'undefined' && typeof WorkerGlobalScope !== 'undefined' && instance.config.debug) {\n if (instance.config.debug) log('running inside web worker');\n }\n\n if (typeof navigator !== 'undefined' && navigator?.userAgent?.toLowerCase().includes('electron')) {\n if (instance.config.debug) log('running inside electron');\n }\n\n // check available backends\n let available = Object.keys(tf.engine().registryFactory as Record);\n if (instance.config.backend === 'humangl' && !available.includes('humangl')) {\n humangl.register(instance);\n available = Object.keys(tf.engine().registryFactory as Record);\n }\n if (instance.config.debug) log('available backends:', available);\n\n // force browser vs node backend\n if (env.browser && !env.node && (instance.config.backend === 'tensorflow') && available.includes('webgl')) {\n if (instance.config.debug) log('override: backend set to tensorflow while running in browser');\n instance.config.backend = 'webgl';\n }\n if (env.node && !env.browser && (instance.config.backend === 'webgl' || instance.config.backend === 'humangl') && available.includes('tensorflow')) {\n if (instance.config.debug) log(`override: backend set to ${instance.config.backend} while running in nodejs`);\n instance.config.backend = 'tensorflow';\n }\n\n // handle webgpu\n if (env.browser && instance.config.backend === 'webgpu') {\n if (typeof navigator === 'undefined' || typeof navigator.gpu === 'undefined') {\n log('override: backend set to webgpu but browser does not support webgpu');\n instance.config.backend = 'webgl';\n } else {\n const adapter = await navigator.gpu.requestAdapter();\n if (instance.config.debug) log('enumerated webgpu adapter:', adapter);\n if (!adapter) {\n log('override: backend set to webgpu but browser reports no available gpu');\n instance.config.backend = 'webgl';\n } else {\n // @ts-ignore requestAdapterInfo is not in tslib\n const adapterInfo = 'requestAdapterInfo' in adapter ? await adapter.requestAdapterInfo() : undefined;\n // if (adapter.features) adapter.features.forEach((feature) => log('webgpu features:', feature));\n log('webgpu adapter info:', adapterInfo);\n }\n }\n }\n\n if (!available.includes(instance.config.backend)) {\n log(`error: backend ${instance.config.backend} not found in registry`);\n instance.config.backend = env.node ? 'tensorflow' : 'webgl';\n if (instance.config.debug) log(`override: setting backend ${instance.config.backend}`);\n }\n\n if (instance.config.debug) log('setting backend:', [instance.config.backend]);\n\n // customize wasm\n if (instance.config.backend === 'wasm') {\n // @ts-ignore private property\n if (tf.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) tf.env().set('CANVAS2D_WILL_READ_FREQUENTLY', true);\n if (instance.config.debug) log('wasm path:', instance.config.wasmPath);\n if (typeof tf.setWasmPaths !== 'undefined') tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);\n else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');\n let mt = false;\n let simd = false;\n try {\n mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT') as boolean;\n simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT') as boolean;\n if (instance.config.debug) log(`wasm execution: ${simd ? 'simd' : 'no simd'} ${mt ? 'multithreaded' : 'singlethreaded'}`);\n if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');\n } catch {\n log('wasm detection failed');\n }\n }\n\n try {\n await tf.setBackend(instance.config.backend);\n await tf.ready();\n } catch (err) {\n log('error: cannot set backend:', instance.config.backend, err);\n return false;\n }\n // @ts-ignore private property\n if (instance.config.debug) defaultFlags = JSON.parse(JSON.stringify(tf.env().flags));\n }\n\n // customize humangl\n if (tf.getBackend() === 'humangl' || tf.getBackend() === 'webgl') {\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) tf.env().set('WEBGL_USE_SHAPES_UNIFORMS', true); // default=false \n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_EXP_CONV) tf.env().set('WEBGL_EXP_CONV', true); // default=false \n // if (tf.env().flagRegistry['WEBGL_PACK_DEPTHWISECONV']) tf.env().set('WEBGL_PACK_DEPTHWISECONV', false); // default=true \n // if (tf.env().flagRegistry.USE_SETTIMEOUTCUSTOM) tf.env().set('USE_SETTIMEOUTCUSTOM', true); // default=false \n // if (tf.env().flagRegistry.CPU_HANDOFF_SIZE_THRESHOLD) tf.env().set('CPU_HANDOFF_SIZE_THRESHOLD', 1024); // default=1000\n // if (tf.env().flagRegistry['WEBGL_FORCE_F16_TEXTURES'] && !instance.config.object.enabled) tf.env().set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision\n if (instance.config.debug && typeof instance.config.deallocate !== 'undefined' && instance.config.deallocate) { // hidden param\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', true);\n tf.env().set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);\n }\n }\n\n // customize webgpu\n if (tf.getBackend() === 'webgpu') {\n // if (tf.env().flagRegistry['WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD']) tf.env().set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);\n // if (tf.env().flagRegistry['WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE']) tf.env().set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);\n // if (tf.env().flagRegistry['WEBGPU_CPU_FORWARD']) tf.env().set('WEBGPU_CPU_FORWARD', true);\n }\n\n if (instance.config.debug) {\n // @ts-ignore private property\n const newFlags = tf.env().flags;\n const updatedFlags = {};\n for (const key of Object.keys(newFlags)) {\n if (defaultFlags[key] === newFlags[key]) continue;\n updatedFlags[key] = newFlags[key];\n }\n if (instance.config.debug && Object.keys(updatedFlags).length > 0) log('backend:', tf.getBackend(), 'flags:', updatedFlags);\n }\n\n if (instance.config.flags && Object.keys(instance.config.flags).length > 0) {\n if (instance.config.debug) log('flags:', instance.config['flags']);\n for (const [key, val] of Object.entries(instance.config.flags)) {\n tf.env().set(key, val as number | boolean);\n }\n }\n\n tf.enableProdMode();\n constants.init();\n instance.performance.initBackend = Math.trunc(now() - timeStamp);\n instance.config.backend = tf.getBackend() as BackendEnum;\n await env.updateBackend(); // update env on backend init\n registerCustomOps(instance.config);\n // await env.updateBackend(); // update env on backend init\n // env.initial = false;\n }\n return true;\n}\n\n// register fake missing tfjs ops\nexport function fakeOps(kernelNames: string[], config) {\n // if (config.debug) log('registerKernel:', kernelNames);\n for (const kernelName of kernelNames) {\n const kernelConfig = {\n kernelName,\n backendName: config.backend,\n kernelFunc: (param): TensorInfo => {\n if (config.debug) log('kernelFunc', kernelName, config.backend, param);\n return param?.inputs?.info as TensorInfo;\n },\n // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\n // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\n };\n tf.registerKernel(kernelConfig);\n }\n env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); // re-scan registered ops\n}\n", "/**\n * Module that implements helper draw functions, exposed as human.draw\n */\n\nimport { mergeDeep, now } from '../util/util';\nimport { env } from '../util/env';\nimport { getCanvasContext, rect } from './primitives';\nimport { options } from './options';\nimport { face } from './face';\nimport { body } from './body';\nimport { hand } from './hand';\nimport { object } from './object';\nimport { gesture } from './gesture';\nimport { defaultLabels } from './labels';\nimport type { Result, PersonResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\nlet drawTime = 0;\n\nexport { options } from './options';\nexport { face } from './face';\nexport { body } from './body';\nexport { hand } from './hand';\nexport { object } from './object';\nexport { gesture } from './gesture';\n\n/** draw combined person results instead of individual detection result objects */\nexport function person(inCanvas: AnyCanvas, result: PersonResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n\n for (let i = 0; i < result.length; i++) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n if (localOptions.drawLabels) {\n const label = `person #${i}`;\n if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n ctx.fillStyle = localOptions.shadowColor;\n ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n }\n ctx.fillStyle = localOptions.labelColor;\n ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n }\n ctx.stroke();\n }\n }\n}\n\n/** draw processed canvas */\nexport function canvas(input: AnyCanvas | HTMLImageElement | HTMLVideoElement, output: AnyCanvas) {\n if (!input || !output) return;\n const ctx = getCanvasContext(output) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.drawImage(input, 0, 0);\n}\n\n/** meta-function that performs draw for: canvas, face, body, hand */\nexport async function all(inCanvas: AnyCanvas, result: Result, drawOptions?: Partial) {\n if (!result?.performance || !inCanvas) return null;\n const timeStamp = now();\n const localOptions = mergeDeep(options, drawOptions);\n const promise = Promise.all([\n face(inCanvas, result.face, localOptions),\n body(inCanvas, result.body, localOptions),\n hand(inCanvas, result.hand, localOptions),\n object(inCanvas, result.object, localOptions),\n gesture(inCanvas, result.gesture, localOptions), // gestures do not have buffering\n // person(inCanvas, result.persons, localOptions); // already included above\n ]);\n drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp);\n result.performance.draw = drawTime;\n return promise;\n}\n\n/** sets default label templates for face/body/hand/object/gestures */\nexport function init() {\n options.faceLabels = defaultLabels.face;\n options.bodyLabels = defaultLabels.body;\n options.bodyPartLabels = defaultLabels.bodyPart;\n options.handLabels = defaultLabels.hand;\n options.fingerLabels = defaultLabels.finger;\n options.objectLabels = defaultLabels.object;\n options.gestureLabels = defaultLabels.gesture;\n}\n", "import { log } from '../util/util';\nimport type { AnyCanvas } from '../exports';\nimport type { Point } from '../result';\nimport type { DrawOptions } from './options';\n\nexport const getCanvasContext = (input: AnyCanvas) => {\n if (!input) log('draw error: invalid canvas');\n else if (!input.getContext) log('draw error: canvas context not defined');\n else {\n const ctx = input.getContext('2d');\n if (!ctx) log('draw error: cannot get canvas context');\n else return ctx;\n }\n return null;\n};\n\nexport const rad2deg = (theta: number) => Math.round((theta * 180) / Math.PI);\n\nexport const replace = (str: string, source: string, target: string | number) => str.replace(source, typeof target === 'number' ? target.toFixed(1) : target);\n\nexport const colorDepth = (z: number | undefined, opt: DrawOptions): string => { // performance optimization needed\n if (!opt.useDepth || typeof z === 'undefined') return opt.color;\n const rgb = Uint8ClampedArray.from([127 + (2 * z), 127 - (2 * z), 255]);\n return `rgba(${rgb[0]}, ${rgb[1]}, ${rgb[2]}, ${opt.alpha})`;\n};\n\nexport function labels(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, str: string, startX: number, startY: number, localOptions: DrawOptions) {\n const line: string[] = str.replace(/\\[.*\\]/g, '').split('\\n').map((l) => l.trim()); // remove unmatched templates and split into array\n const x = Math.max(0, startX);\n for (let i = line.length - 1; i >= 0; i--) {\n const y = i * localOptions.lineHeight + startY;\n if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n ctx.fillStyle = localOptions.shadowColor;\n ctx.fillText(line[i], x + 5, y + 16);\n }\n ctx.fillStyle = localOptions.labelColor;\n ctx.fillText(line[i], x + 4, y + 15);\n }\n}\n\nexport function point(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, x: number, y: number, z: number | undefined, localOptions: DrawOptions) {\n ctx.fillStyle = colorDepth(z, localOptions);\n ctx.beginPath();\n ctx.arc(x, y, localOptions.pointSize, 0, 2 * Math.PI);\n ctx.fill();\n}\n\nexport function rect(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, x: number, y: number, width: number, height: number, localOptions: DrawOptions) {\n ctx.beginPath();\n ctx.lineWidth = localOptions.lineWidth;\n if (localOptions.useCurves) {\n const cx = (x + x + width) / 2;\n const cy = (y + y + height) / 2;\n ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI);\n } else {\n ctx.moveTo(x + localOptions.roundRect, y);\n ctx.lineTo(x + width - localOptions.roundRect, y);\n ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions.roundRect);\n ctx.lineTo(x + width, y + height - localOptions.roundRect);\n ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions.roundRect, y + height);\n ctx.lineTo(x + localOptions.roundRect, y + height);\n ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions.roundRect);\n ctx.lineTo(x, y + localOptions.roundRect);\n ctx.quadraticCurveTo(x, y, x + localOptions.roundRect, y);\n ctx.closePath();\n }\n ctx.stroke();\n}\n\nexport function lines(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, points: Point[], localOptions: DrawOptions) {\n if (points.length < 2) return;\n ctx.beginPath();\n ctx.moveTo(points[0][0], points[0][1]);\n for (const pt of points) {\n ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions);\n ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1]));\n }\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.closePath();\n ctx.fill();\n }\n}\n\nexport function curves(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, points: Point[], localOptions: DrawOptions) {\n if (points.length < 2) return;\n ctx.lineWidth = localOptions.lineWidth;\n if (!localOptions.useCurves || points.length <= 2) {\n lines(ctx, points, localOptions);\n return;\n }\n ctx.moveTo(points[0][0], points[0][1]);\n for (let i = 0; i < points.length - 2; i++) {\n const xc = (points[i][0] + points[i + 1][0]) / 2;\n const yc = (points[i][1] + points[i + 1][1]) / 2;\n ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc);\n }\n ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.closePath();\n ctx.fill();\n }\n}\n\nexport function arrow(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, from: Point, to: Point, radius = 5) {\n let angle;\n let x;\n let y;\n ctx.beginPath();\n ctx.moveTo(from[0], from[1]);\n ctx.lineTo(to[0], to[1]);\n angle = Math.atan2(to[1] - from[1], to[0] - from[0]);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.moveTo(x, y);\n angle += (1.0 / 3.0) * (2 * Math.PI);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.lineTo(x, y);\n angle += (1.0 / 3.0) * (2 * Math.PI);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.lineTo(x, y);\n ctx.closePath();\n ctx.stroke();\n ctx.fill();\n}\n", "/** Draw Options\n * - Accessed via `human.draw.options` or provided per each draw method as the drawOptions optional parameter\n */\n\nexport interface DrawOptions {\n /** draw line color */\n color: string,\n /** alpha value used for lines */\n alpha: number,\n /** label color */\n labelColor: string,\n /** label shadow color */\n shadowColor: string,\n /** label font */\n font: string,\n /** line spacing between labels */\n lineHeight: number,\n /** line width for drawn lines */\n lineWidth: number,\n /** size of drawn points */\n pointSize: number,\n /** draw rounded boxes by n pixels */\n roundRect: number,\n /** should points be drawn? */\n drawPoints: boolean,\n /** should labels be drawn? */\n drawLabels: boolean,\n /** should face attention keypoints be highlighted */\n drawAttention: boolean;\n /** should detected gestures be drawn? */\n drawGestures: boolean,\n /** should draw boxes around detection results? */\n drawBoxes: boolean,\n /** should draw polygons from detection points? */\n drawPolygons: boolean,\n /** should draw gaze arrows? */\n drawGaze: boolean,\n /** should fill polygons? */\n fillPolygons: boolean,\n /** use z-coordinate when available */\n useDepth: boolean,\n /** should lines be curved? */\n useCurves: boolean,\n /** string template for face labels */\n faceLabels: string,\n /** string template for body labels */\n bodyLabels: string,\n /** string template for body part labels */\n bodyPartLabels: string,\n /** string template for hand labels */\n handLabels: string,\n /** string template for hand labels */\n fingerLabels: string,\n /** string template for object labels */\n objectLabels: string,\n /** string template for gesture labels */\n gestureLabels: string,\n}\n\n/** currently set draw options {@link DrawOptions} */\nexport const options: DrawOptions = {\n color: 'rgba(173, 216, 230, 0.6)' as string, // 'lightblue' with light alpha channel\n labelColor: 'rgba(173, 216, 230, 1)' as string, // 'lightblue' with dark alpha channel\n shadowColor: 'black' as string,\n alpha: 0.5 as number,\n font: 'small-caps 16px \"Segoe UI\"' as string,\n lineHeight: 18 as number,\n lineWidth: 4 as number,\n pointSize: 2 as number,\n roundRect: 8 as number,\n drawPoints: false as boolean,\n drawLabels: true as boolean,\n drawBoxes: true as boolean,\n drawAttention: true as boolean,\n drawGestures: true as boolean,\n drawPolygons: true as boolean,\n drawGaze: true as boolean,\n fillPolygons: false as boolean,\n useDepth: true as boolean,\n useCurves: false as boolean,\n faceLabels: '' as string,\n bodyLabels: '' as string,\n bodyPartLabels: '' as string,\n objectLabels: '' as string,\n handLabels: '' as string,\n fingerLabels: '' as string,\n gestureLabels: '' as string,\n};\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nexport const meshAnnotations: Record = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11\n // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10\n // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11\n // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11\n lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409],\n lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306],\n lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408],\n lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292],\n lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], // 7\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], // 9\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], // 7\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], // 9\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], // 7\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], // 9\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], // 9\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], // 8\n rightEyebrowLower: [35, 124, 46, 53, 52, 65], // 6\n rightEyeIris: [473, 474, 475, 476, 477], // 5\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const meshLandmarks: Record = {\n count: 468,\n mouth: 13,\n symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]],\n};\n\nexport const blazeFaceLandmarks: Record = {\n leftEye: 0,\n rightEye: 1,\n nose: 2,\n mouth: 3,\n leftEar: 4,\n rightEar: 5,\n symmetryLine: [3, 2],\n};\n\nexport const irisIndices: { key: string, indices: number[] }[] = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] }, // 7 x 3d\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] }, // 7 x 3d\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] }, // 7 x 3d\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, // 7 x 3d\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, // 9 x 3d\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, // 9 x 3d\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, // 9 x 3d\n { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] }, // 8 x 3d\n { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] }, // 6 x 3d\n];\n\nexport const UV468: [number, number][] = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468: number[] = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68: number[] = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33: number[] = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7: number[] = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68: number[] = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33: number[] = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7: number[] = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n\n// https://github.com/tensorflow/tfjs-models/blob/master/face-landmarks-detection/src/constants.ts\n// https://github.com/google/mediapipe/mediapipe/python/solutions/face_mesh_connections.py\n\ntype PairArray = [number, number][];\n\nfunction connectionsToIndices(connections: PairArray) {\n const indices = connections.map((connection) => connection[0]);\n indices.push(connections[connections.length - 1][1]);\n return indices;\n}\n\nexport const pairsLips: PairArray = [\n [61, 146], [146, 91], [91, 181], [181, 84], [84, 17], [17, 314], [314, 405], [405, 321], [321, 375], [375, 291], [61, 185], [185, 40], [40, 39], [39, 37], [37, 0], [0, 267], [267, 269], [269, 270], [270, 409], [409, 291],\n [78, 95], [95, 88], [88, 178], [178, 87], [87, 14], [14, 317], [317, 402], [402, 318], [318, 324], [324, 308], [78, 191], [191, 80], [80, 81], [81, 82], [82, 13], [13, 312], [312, 311], [311, 310], [310, 415], [415, 308],\n];\n\nexport const pairsLeftEye: PairArray = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]];\n\nexport const pairsLeftEyebrow: PairArray = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]];\n\nexport const pairsLeftIris: PairArray = [[474, 475], [475, 476], [476, 477], [477, 474]];\n\nexport const pairsRightEye: PairArray = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]];\n\nexport const pairsRightEyebrow: PairArray = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]];\n\nexport const pairsRightIris: PairArray = [[469, 470], [470, 471], [471, 472], [472, 469]];\n\nexport const pairsFaceContour: PairArray = [\n [10, 338], [338, 297], [297, 332], [332, 284], [284, 251], [251, 389],\n [389, 356], [356, 454], [454, 323], [323, 361], [361, 288], [288, 397],\n [397, 365], [365, 379], [379, 378], [378, 400], [400, 377], [377, 152],\n [152, 148], [148, 176], [176, 149], [149, 150], [150, 136], [136, 172],\n [172, 58], [58, 132], [132, 93], [93, 234], [234, 127], [127, 162],\n [162, 21], [21, 54], [54, 103], [103, 67], [67, 109], [109, 10],\n];\n\nexport const contourKeypoints = {\n lips: connectionsToIndices(pairsLips),\n leftEye: connectionsToIndices(pairsLeftEye),\n leftEyebrow: connectionsToIndices(pairsLeftEyebrow),\n leftIris: connectionsToIndices(pairsLeftIris),\n rightEye: connectionsToIndices(pairsRightEye),\n rightEyebrow: connectionsToIndices(pairsRightEyebrow),\n rightIris: connectionsToIndices(pairsRightIris),\n faceOval: connectionsToIndices(pairsFaceContour),\n};\n\nexport const pairsFaceMesh: PairArray = [\n [127, 34], [34, 139], [139, 127], [11, 0], [0, 37], [37, 11],\n [232, 231], [231, 120], [120, 232], [72, 37], [37, 39], [39, 72],\n [128, 121], [121, 47], [47, 128], [232, 121], [121, 128], [128, 232],\n [104, 69], [69, 67], [67, 104], [175, 171], [171, 148], [148, 175],\n [118, 50], [50, 101], [101, 118], [73, 39], [39, 40], [40, 73],\n [9, 151], [151, 108], [108, 9], [48, 115], [115, 131], [131, 48],\n [194, 204], [204, 211], [211, 194], [74, 40], [40, 185], [185, 74],\n [80, 42], [42, 183], [183, 80], [40, 92], [92, 186], [186, 40],\n [230, 229], [229, 118], [118, 230], [202, 212], [212, 214], [214, 202],\n [83, 18], [18, 17], [17, 83], [76, 61], [61, 146], [146, 76],\n [160, 29], [29, 30], [30, 160], [56, 157], [157, 173], [173, 56],\n [106, 204], [204, 194], [194, 106], [135, 214], [214, 192], [192, 135],\n [203, 165], [165, 98], [98, 203], [21, 71], [71, 68], [68, 21],\n [51, 45], [45, 4], [4, 51], [144, 24], [24, 23], [23, 144],\n [77, 146], [146, 91], [91, 77], [205, 50], [50, 187], [187, 205],\n [201, 200], [200, 18], [18, 201], [91, 106], [106, 182], [182, 91],\n [90, 91], [91, 181], [181, 90], [85, 84], [84, 17], [17, 85],\n [206, 203], [203, 36], [36, 206], [148, 171], [171, 140], [140, 148],\n [92, 40], [40, 39], [39, 92], [193, 189], [189, 244], [244, 193],\n [159, 158], [158, 28], [28, 159], [247, 246], [246, 161], [161, 247],\n [236, 3], [3, 196], [196, 236], [54, 68], [68, 104], [104, 54],\n [193, 168], [168, 8], [8, 193], [117, 228], [228, 31], [31, 117],\n [189, 193], [193, 55], [55, 189], [98, 97], [97, 99], [99, 98],\n [126, 47], [47, 100], [100, 126], [166, 79], [79, 218], [218, 166],\n [155, 154], [154, 26], [26, 155], [209, 49], [49, 131], [131, 209],\n [135, 136], [136, 150], [150, 135], [47, 126], [126, 217], [217, 47],\n [223, 52], [52, 53], [53, 223], [45, 51], [51, 134], [134, 45],\n [211, 170], [170, 140], [140, 211], [67, 69], [69, 108], [108, 67],\n [43, 106], [106, 91], [91, 43], [230, 119], [119, 120], [120, 230],\n [226, 130], [130, 247], [247, 226], [63, 53], [53, 52], [52, 63],\n [238, 20], [20, 242], [242, 238], [46, 70], [70, 156], [156, 46],\n [78, 62], [62, 96], [96, 78], [46, 53], [53, 63], [63, 46],\n [143, 34], [34, 227], [227, 143], [123, 117], [117, 111], [111, 123],\n [44, 125], [125, 19], [19, 44], [236, 134], [134, 51], [51, 236],\n [216, 206], [206, 205], [205, 216], [154, 153], [153, 22], [22, 154],\n [39, 37], [37, 167], [167, 39], [200, 201], [201, 208], [208, 200],\n [36, 142], [142, 100], [100, 36], [57, 212], [212, 202], [202, 57],\n [20, 60], [60, 99], [99, 20], [28, 158], [158, 157], [157, 28],\n [35, 226], [226, 113], [113, 35], [160, 159], [159, 27], [27, 160],\n [204, 202], [202, 210], [210, 204], [113, 225], [225, 46], [46, 113],\n [43, 202], [202, 204], [204, 43], [62, 76], [76, 77], [77, 62],\n [137, 123], [123, 116], [116, 137], [41, 38], [38, 72], [72, 41],\n [203, 129], [129, 142], [142, 203], [64, 98], [98, 240], [240, 64],\n [49, 102], [102, 64], [64, 49], [41, 73], [73, 74], [74, 41],\n [212, 216], [216, 207], [207, 212], [42, 74], [74, 184], [184, 42],\n [169, 170], [170, 211], [211, 169], [170, 149], [149, 176], [176, 170],\n [105, 66], [66, 69], [69, 105], [122, 6], [6, 168], [168, 122],\n [123, 147], [147, 187], [187, 123], [96, 77], [77, 90], [90, 96],\n [65, 55], [55, 107], [107, 65], [89, 90], [90, 180], [180, 89],\n [101, 100], [100, 120], [120, 101], [63, 105], [105, 104], [104, 63],\n [93, 137], [137, 227], [227, 93], [15, 86], [86, 85], [85, 15],\n [129, 102], [102, 49], [49, 129], [14, 87], [87, 86], [86, 14],\n [55, 8], [8, 9], [9, 55], [100, 47], [47, 121], [121, 100],\n [145, 23], [23, 22], [22, 145], [88, 89], [89, 179], [179, 88],\n [6, 122], [122, 196], [196, 6], [88, 95], [95, 96], [96, 88],\n [138, 172], [172, 136], [136, 138], [215, 58], [58, 172], [172, 215],\n [115, 48], [48, 219], [219, 115], [42, 80], [80, 81], [81, 42],\n [195, 3], [3, 51], [51, 195], [43, 146], [146, 61], [61, 43],\n [171, 175], [175, 199], [199, 171], [81, 82], [82, 38], [38, 81],\n [53, 46], [46, 225], [225, 53], [144, 163], [163, 110], [110, 144],\n [52, 65], [65, 66], [66, 52], [229, 228], [228, 117], [117, 229],\n [34, 127], [127, 234], [234, 34], [107, 108], [108, 69], [69, 107],\n [109, 108], [108, 151], [151, 109], [48, 64], [64, 235], [235, 48],\n [62, 78], [78, 191], [191, 62], [129, 209], [209, 126], [126, 129],\n [111, 35], [35, 143], [143, 111], [117, 123], [123, 50], [50, 117],\n [222, 65], [65, 52], [52, 222], [19, 125], [125, 141], [141, 19],\n [221, 55], [55, 65], [65, 221], [3, 195], [195, 197], [197, 3],\n [25, 7], [7, 33], [33, 25], [220, 237], [237, 44], [44, 220],\n [70, 71], [71, 139], [139, 70], [122, 193], [193, 245], [245, 122],\n [247, 130], [130, 33], [33, 247], [71, 21], [21, 162], [162, 71],\n [170, 169], [169, 150], [150, 170], [188, 174], [174, 196], [196, 188],\n [216, 186], [186, 92], [92, 216], [2, 97], [97, 167], [167, 2],\n [141, 125], [125, 241], [241, 141], [164, 167], [167, 37], [37, 164],\n [72, 38], [38, 12], [12, 72], [38, 82], [82, 13], [13, 38],\n [63, 68], [68, 71], [71, 63], [226, 35], [35, 111], [111, 226],\n [101, 50], [50, 205], [205, 101], [206, 92], [92, 165], [165, 206],\n [209, 198], [198, 217], [217, 209], [165, 167], [167, 97], [97, 165],\n [220, 115], [115, 218], [218, 220], [133, 112], [112, 243], [243, 133],\n [239, 238], [238, 241], [241, 239], [214, 135], [135, 169], [169, 214],\n [190, 173], [173, 133], [133, 190], [171, 208], [208, 32], [32, 171],\n [125, 44], [44, 237], [237, 125], [86, 87], [87, 178], [178, 86],\n [85, 86], [86, 179], [179, 85], [84, 85], [85, 180], [180, 84],\n [83, 84], [84, 181], [181, 83], [201, 83], [83, 182], [182, 201],\n [137, 93], [93, 132], [132, 137], [76, 62], [62, 183], [183, 76],\n [61, 76], [76, 184], [184, 61], [57, 61], [61, 185], [185, 57],\n [212, 57], [57, 186], [186, 212], [214, 207], [207, 187], [187, 214],\n [34, 143], [143, 156], [156, 34], [79, 239], [239, 237], [237, 79],\n [123, 137], [137, 177], [177, 123], [44, 1], [1, 4], [4, 44],\n [201, 194], [194, 32], [32, 201], [64, 102], [102, 129], [129, 64],\n [213, 215], [215, 138], [138, 213], [59, 166], [166, 219], [219, 59],\n [242, 99], [99, 97], [97, 242], [2, 94], [94, 141], [141, 2],\n [75, 59], [59, 235], [235, 75], [24, 110], [110, 228], [228, 24],\n [25, 130], [130, 226], [226, 25], [23, 24], [24, 229], [229, 23],\n [22, 23], [23, 230], [230, 22], [26, 22], [22, 231], [231, 26],\n [112, 26], [26, 232], [232, 112], [189, 190], [190, 243], [243, 189],\n [221, 56], [56, 190], [190, 221], [28, 56], [56, 221], [221, 28],\n [27, 28], [28, 222], [222, 27], [29, 27], [27, 223], [223, 29],\n [30, 29], [29, 224], [224, 30], [247, 30], [30, 225], [225, 247],\n [238, 79], [79, 20], [20, 238], [166, 59], [59, 75], [75, 166],\n [60, 75], [75, 240], [240, 60], [147, 177], [177, 215], [215, 147],\n [20, 79], [79, 166], [166, 20], [187, 147], [147, 213], [213, 187],\n [112, 233], [233, 244], [244, 112], [233, 128], [128, 245], [245, 233],\n [128, 114], [114, 188], [188, 128], [114, 217], [217, 174], [174, 114],\n [131, 115], [115, 220], [220, 131], [217, 198], [198, 236], [236, 217],\n [198, 131], [131, 134], [134, 198], [177, 132], [132, 58], [58, 177],\n [143, 35], [35, 124], [124, 143], [110, 163], [163, 7], [7, 110],\n [228, 110], [110, 25], [25, 228], [356, 389], [389, 368], [368, 356],\n [11, 302], [302, 267], [267, 11], [452, 350], [350, 349], [349, 452],\n [302, 303], [303, 269], [269, 302], [357, 343], [343, 277], [277, 357],\n [452, 453], [453, 357], [357, 452], [333, 332], [332, 297], [297, 333],\n [175, 152], [152, 377], [377, 175], [347, 348], [348, 330], [330, 347],\n [303, 304], [304, 270], [270, 303], [9, 336], [336, 337], [337, 9],\n [278, 279], [279, 360], [360, 278], [418, 262], [262, 431], [431, 418],\n [304, 408], [408, 409], [409, 304], [310, 415], [415, 407], [407, 310],\n [270, 409], [409, 410], [410, 270], [450, 348], [348, 347], [347, 450],\n [422, 430], [430, 434], [434, 422], [313, 314], [314, 17], [17, 313],\n [306, 307], [307, 375], [375, 306], [387, 388], [388, 260], [260, 387],\n [286, 414], [414, 398], [398, 286], [335, 406], [406, 418], [418, 335],\n [364, 367], [367, 416], [416, 364], [423, 358], [358, 327], [327, 423],\n [251, 284], [284, 298], [298, 251], [281, 5], [5, 4], [4, 281],\n [373, 374], [374, 253], [253, 373], [307, 320], [320, 321], [321, 307],\n [425, 427], [427, 411], [411, 425], [421, 313], [313, 18], [18, 421],\n [321, 405], [405, 406], [406, 321], [320, 404], [404, 405], [405, 320],\n [315, 16], [16, 17], [17, 315], [426, 425], [425, 266], [266, 426],\n [377, 400], [400, 369], [369, 377], [322, 391], [391, 269], [269, 322],\n [417, 465], [465, 464], [464, 417], [386, 257], [257, 258], [258, 386],\n [466, 260], [260, 388], [388, 466], [456, 399], [399, 419], [419, 456],\n [284, 332], [332, 333], [333, 284], [417, 285], [285, 8], [8, 417],\n [346, 340], [340, 261], [261, 346], [413, 441], [441, 285], [285, 413],\n [327, 460], [460, 328], [328, 327], [355, 371], [371, 329], [329, 355],\n [392, 439], [439, 438], [438, 392], [382, 341], [341, 256], [256, 382],\n [429, 420], [420, 360], [360, 429], [364, 394], [394, 379], [379, 364],\n [277, 343], [343, 437], [437, 277], [443, 444], [444, 283], [283, 443],\n [275, 440], [440, 363], [363, 275], [431, 262], [262, 369], [369, 431],\n [297, 338], [338, 337], [337, 297], [273, 375], [375, 321], [321, 273],\n [450, 451], [451, 349], [349, 450], [446, 342], [342, 467], [467, 446],\n [293, 334], [334, 282], [282, 293], [458, 461], [461, 462], [462, 458],\n [276, 353], [353, 383], [383, 276], [308, 324], [324, 325], [325, 308],\n [276, 300], [300, 293], [293, 276], [372, 345], [345, 447], [447, 372],\n [352, 345], [345, 340], [340, 352], [274, 1], [1, 19], [19, 274],\n [456, 248], [248, 281], [281, 456], [436, 427], [427, 425], [425, 436],\n [381, 256], [256, 252], [252, 381], [269, 391], [391, 393], [393, 269],\n [200, 199], [199, 428], [428, 200], [266, 330], [330, 329], [329, 266],\n [287, 273], [273, 422], [422, 287], [250, 462], [462, 328], [328, 250],\n [258, 286], [286, 384], [384, 258], [265, 353], [353, 342], [342, 265],\n [387, 259], [259, 257], [257, 387], [424, 431], [431, 430], [430, 424],\n [342, 353], [353, 276], [276, 342], [273, 335], [335, 424], [424, 273],\n [292, 325], [325, 307], [307, 292], [366, 447], [447, 345], [345, 366],\n [271, 303], [303, 302], [302, 271], [423, 266], [266, 371], [371, 423],\n [294, 455], [455, 460], [460, 294], [279, 278], [278, 294], [294, 279],\n [271, 272], [272, 304], [304, 271], [432, 434], [434, 427], [427, 432],\n [272, 407], [407, 408], [408, 272], [394, 430], [430, 431], [431, 394],\n [395, 369], [369, 400], [400, 395], [334, 333], [333, 299], [299, 334],\n [351, 417], [417, 168], [168, 351], [352, 280], [280, 411], [411, 352],\n [325, 319], [319, 320], [320, 325], [295, 296], [296, 336], [336, 295],\n [319, 403], [403, 404], [404, 319], [330, 348], [348, 349], [349, 330],\n [293, 298], [298, 333], [333, 293], [323, 454], [454, 447], [447, 323],\n [15, 16], [16, 315], [315, 15], [358, 429], [429, 279], [279, 358],\n [14, 15], [15, 316], [316, 14], [285, 336], [336, 9], [9, 285],\n [329, 349], [349, 350], [350, 329], [374, 380], [380, 252], [252, 374],\n [318, 402], [402, 403], [403, 318], [6, 197], [197, 419], [419, 6],\n [318, 319], [319, 325], [325, 318], [367, 364], [364, 365], [365, 367],\n [435, 367], [367, 397], [397, 435], [344, 438], [438, 439], [439, 344],\n [272, 271], [271, 311], [311, 272], [195, 5], [5, 281], [281, 195],\n [273, 287], [287, 291], [291, 273], [396, 428], [428, 199], [199, 396],\n [311, 271], [271, 268], [268, 311], [283, 444], [444, 445], [445, 283],\n [373, 254], [254, 339], [339, 373], [282, 334], [334, 296], [296, 282],\n [449, 347], [347, 346], [346, 449], [264, 447], [447, 454], [454, 264],\n [336, 296], [296, 299], [299, 336], [338, 10], [10, 151], [151, 338],\n [278, 439], [439, 455], [455, 278], [292, 407], [407, 415], [415, 292],\n [358, 371], [371, 355], [355, 358], [340, 345], [345, 372], [372, 340],\n [346, 347], [347, 280], [280, 346], [442, 443], [443, 282], [282, 442],\n [19, 94], [94, 370], [370, 19], [441, 442], [442, 295], [295, 441],\n [248, 419], [419, 197], [197, 248], [263, 255], [255, 359], [359, 263],\n [440, 275], [275, 274], [274, 440], [300, 383], [383, 368], [368, 300],\n [351, 412], [412, 465], [465, 351], [263, 467], [467, 466], [466, 263],\n [301, 368], [368, 389], [389, 301], [395, 378], [378, 379], [379, 395],\n [412, 351], [351, 419], [419, 412], [436, 426], [426, 322], [322, 436],\n [2, 164], [164, 393], [393, 2], [370, 462], [462, 461], [461, 370],\n [164, 0], [0, 267], [267, 164], [302, 11], [11, 12], [12, 302],\n [268, 12], [12, 13], [13, 268], [293, 300], [300, 301], [301, 293],\n [446, 261], [261, 340], [340, 446], [330, 266], [266, 425], [425, 330],\n [426, 423], [423, 391], [391, 426], [429, 355], [355, 437], [437, 429],\n [391, 327], [327, 326], [326, 391], [440, 457], [457, 438], [438, 440],\n [341, 382], [382, 362], [362, 341], [459, 457], [457, 461], [461, 459],\n [434, 430], [430, 394], [394, 434], [414, 463], [463, 362], [362, 414],\n [396, 369], [369, 262], [262, 396], [354, 461], [461, 457], [457, 354],\n [316, 403], [403, 402], [402, 316], [315, 404], [404, 403], [403, 315],\n [314, 405], [405, 404], [404, 314], [313, 406], [406, 405], [405, 313],\n [421, 418], [418, 406], [406, 421], [366, 401], [401, 361], [361, 366],\n [306, 408], [408, 407], [407, 306], [291, 409], [409, 408], [408, 291],\n [287, 410], [410, 409], [409, 287], [432, 436], [436, 410], [410, 432],\n [434, 416], [416, 411], [411, 434], [264, 368], [368, 383], [383, 264],\n [309, 438], [438, 457], [457, 309], [352, 376], [376, 401], [401, 352],\n [274, 275], [275, 4], [4, 274], [421, 428], [428, 262], [262, 421],\n [294, 327], [327, 358], [358, 294], [433, 416], [416, 367], [367, 433],\n [289, 455], [455, 439], [439, 289], [462, 370], [370, 326], [326, 462],\n [2, 326], [326, 370], [370, 2], [305, 460], [460, 455], [455, 305],\n [254, 449], [449, 448], [448, 254], [255, 261], [261, 446], [446, 255],\n [253, 450], [450, 449], [449, 253], [252, 451], [451, 450], [450, 252],\n [256, 452], [452, 451], [451, 256], [341, 453], [453, 452], [452, 341],\n [413, 464], [464, 463], [463, 413], [441, 413], [413, 414], [414, 441],\n [258, 442], [442, 441], [441, 258], [257, 443], [443, 442], [442, 257],\n [259, 444], [444, 443], [443, 259], [260, 445], [445, 444], [444, 260],\n [467, 342], [342, 445], [445, 467], [459, 458], [458, 250], [250, 459],\n [289, 392], [392, 290], [290, 289], [290, 328], [328, 460], [460, 290],\n [376, 433], [433, 435], [435, 376], [250, 290], [290, 392], [392, 250],\n [411, 416], [416, 433], [433, 411], [341, 463], [463, 464], [464, 341],\n [453, 464], [464, 465], [465, 453], [357, 465], [465, 412], [412, 357],\n [343, 412], [412, 399], [399, 343], [360, 363], [363, 440], [440, 360],\n [437, 399], [399, 456], [456, 437], [420, 456], [456, 363], [363, 420],\n [401, 435], [435, 288], [288, 401], [372, 383], [383, 353], [353, 372],\n [339, 255], [255, 249], [249, 339], [448, 261], [261, 255], [255, 448],\n [133, 243], [243, 190], [190, 133], [133, 155], [155, 112], [112, 133],\n [33, 246], [246, 247], [247, 33], [33, 130], [130, 25], [25, 33],\n [398, 384], [384, 286], [286, 398], [362, 398], [398, 414], [414, 362],\n [362, 463], [463, 341], [341, 362], [263, 359], [359, 467], [467, 263],\n [263, 249], [249, 255], [255, 263], [466, 467], [467, 260], [260, 466],\n [75, 60], [60, 166], [166, 75], [238, 239], [239, 79], [79, 238],\n [162, 127], [127, 139], [139, 162], [72, 11], [11, 37], [37, 72],\n [121, 232], [232, 120], [120, 121], [73, 72], [72, 39], [39, 73],\n [114, 128], [128, 47], [47, 114], [233, 232], [232, 128], [128, 233],\n [103, 104], [104, 67], [67, 103], [152, 175], [175, 148], [148, 152],\n [119, 118], [118, 101], [101, 119], [74, 73], [73, 40], [40, 74],\n [107, 9], [9, 108], [108, 107], [49, 48], [48, 131], [131, 49],\n [32, 194], [194, 211], [211, 32], [184, 74], [74, 185], [185, 184],\n [191, 80], [80, 183], [183, 191], [185, 40], [40, 186], [186, 185],\n [119, 230], [230, 118], [118, 119], [210, 202], [202, 214], [214, 210],\n [84, 83], [83, 17], [17, 84], [77, 76], [76, 146], [146, 77],\n [161, 160], [160, 30], [30, 161], [190, 56], [56, 173], [173, 190],\n [182, 106], [106, 194], [194, 182], [138, 135], [135, 192], [192, 138],\n [129, 203], [203, 98], [98, 129], [54, 21], [21, 68], [68, 54],\n [5, 51], [51, 4], [4, 5], [145, 144], [144, 23], [23, 145],\n [90, 77], [77, 91], [91, 90], [207, 205], [205, 187], [187, 207],\n [83, 201], [201, 18], [18, 83], [181, 91], [91, 182], [182, 181],\n [180, 90], [90, 181], [181, 180], [16, 85], [85, 17], [17, 16],\n [205, 206], [206, 36], [36, 205], [176, 148], [148, 140], [140, 176],\n [165, 92], [92, 39], [39, 165], [245, 193], [193, 244], [244, 245],\n [27, 159], [159, 28], [28, 27], [30, 247], [247, 161], [161, 30],\n [174, 236], [236, 196], [196, 174], [103, 54], [54, 104], [104, 103],\n [55, 193], [193, 8], [8, 55], [111, 117], [117, 31], [31, 111],\n [221, 189], [189, 55], [55, 221], [240, 98], [98, 99], [99, 240],\n [142, 126], [126, 100], [100, 142], [219, 166], [166, 218], [218, 219],\n [112, 155], [155, 26], [26, 112], [198, 209], [209, 131], [131, 198],\n [169, 135], [135, 150], [150, 169], [114, 47], [47, 217], [217, 114],\n [224, 223], [223, 53], [53, 224], [220, 45], [45, 134], [134, 220],\n [32, 211], [211, 140], [140, 32], [109, 67], [67, 108], [108, 109],\n [146, 43], [43, 91], [91, 146], [231, 230], [230, 120], [120, 231],\n [113, 226], [226, 247], [247, 113], [105, 63], [63, 52], [52, 105],\n [241, 238], [238, 242], [242, 241], [124, 46], [46, 156], [156, 124],\n [95, 78], [78, 96], [96, 95], [70, 46], [46, 63], [63, 70],\n [116, 143], [143, 227], [227, 116], [116, 123], [123, 111], [111, 116],\n [1, 44], [44, 19], [19, 1], [3, 236], [236, 51], [51, 3],\n [207, 216], [216, 205], [205, 207], [26, 154], [154, 22], [22, 26],\n [165, 39], [39, 167], [167, 165], [199, 200], [200, 208], [208, 199],\n [101, 36], [36, 100], [100, 101], [43, 57], [57, 202], [202, 43],\n [242, 20], [20, 99], [99, 242], [56, 28], [28, 157], [157, 56],\n [124, 35], [35, 113], [113, 124], [29, 160], [160, 27], [27, 29],\n [211, 204], [204, 210], [210, 211], [124, 113], [113, 46], [46, 124],\n [106, 43], [43, 204], [204, 106], [96, 62], [62, 77], [77, 96],\n [227, 137], [137, 116], [116, 227], [73, 41], [41, 72], [72, 73],\n [36, 203], [203, 142], [142, 36], [235, 64], [64, 240], [240, 235],\n [48, 49], [49, 64], [64, 48], [42, 41], [41, 74], [74, 42],\n [214, 212], [212, 207], [207, 214], [183, 42], [42, 184], [184, 183],\n [210, 169], [169, 211], [211, 210], [140, 170], [170, 176], [176, 140],\n [104, 105], [105, 69], [69, 104], [193, 122], [122, 168], [168, 193],\n [50, 123], [123, 187], [187, 50], [89, 96], [96, 90], [90, 89],\n [66, 65], [65, 107], [107, 66], [179, 89], [89, 180], [180, 179],\n [119, 101], [101, 120], [120, 119], [68, 63], [63, 104], [104, 68],\n [234, 93], [93, 227], [227, 234], [16, 15], [15, 85], [85, 16],\n [209, 129], [129, 49], [49, 209], [15, 14], [14, 86], [86, 15],\n [107, 55], [55, 9], [9, 107], [120, 100], [100, 121], [121, 120],\n [153, 145], [145, 22], [22, 153], [178, 88], [88, 179], [179, 178],\n [197, 6], [6, 196], [196, 197], [89, 88], [88, 96], [96, 89],\n [135, 138], [138, 136], [136, 135], [138, 215], [215, 172], [172, 138],\n [218, 115], [115, 219], [219, 218], [41, 42], [42, 81], [81, 41],\n [5, 195], [195, 51], [51, 5], [57, 43], [43, 61], [61, 57],\n [208, 171], [171, 199], [199, 208], [41, 81], [81, 38], [38, 41],\n [224, 53], [53, 225], [225, 224], [24, 144], [144, 110], [110, 24],\n [105, 52], [52, 66], [66, 105], [118, 229], [229, 117], [117, 118],\n [227, 34], [34, 234], [234, 227], [66, 107], [107, 69], [69, 66],\n [10, 109], [109, 151], [151, 10], [219, 48], [48, 235], [235, 219],\n [183, 62], [62, 191], [191, 183], [142, 129], [129, 126], [126, 142],\n [116, 111], [111, 143], [143, 116], [118, 117], [117, 50], [50, 118],\n [223, 222], [222, 52], [52, 223], [94, 19], [19, 141], [141, 94],\n [222, 221], [221, 65], [65, 222], [196, 3], [3, 197], [197, 196],\n [45, 220], [220, 44], [44, 45], [156, 70], [70, 139], [139, 156],\n [188, 122], [122, 245], [245, 188], [139, 71], [71, 162], [162, 139],\n [149, 170], [170, 150], [150, 149], [122, 188], [188, 196], [196, 122],\n [206, 216], [216, 92], [92, 206], [164, 2], [2, 167], [167, 164],\n [242, 141], [141, 241], [241, 242], [0, 164], [164, 37], [37, 0],\n [11, 72], [72, 12], [12, 11], [12, 38], [38, 13], [13, 12],\n [70, 63], [63, 71], [71, 70], [31, 226], [226, 111], [111, 31],\n [36, 101], [101, 205], [205, 36], [203, 206], [206, 165], [165, 203],\n [126, 209], [209, 217], [217, 126], [98, 165], [165, 97], [97, 98],\n [237, 220], [220, 218], [218, 237], [237, 239], [239, 241], [241, 237],\n [210, 214], [214, 169], [169, 210], [140, 171], [171, 32], [32, 140],\n [241, 125], [125, 237], [237, 241], [179, 86], [86, 178], [178, 179],\n [180, 85], [85, 179], [179, 180], [181, 84], [84, 180], [180, 181],\n [182, 83], [83, 181], [181, 182], [194, 201], [201, 182], [182, 194],\n [177, 137], [137, 132], [132, 177], [184, 76], [76, 183], [183, 184],\n [185, 61], [61, 184], [184, 185], [186, 57], [57, 185], [185, 186],\n [216, 212], [212, 186], [186, 216], [192, 214], [214, 187], [187, 192],\n [139, 34], [34, 156], [156, 139], [218, 79], [79, 237], [237, 218],\n [147, 123], [123, 177], [177, 147], [45, 44], [44, 4], [4, 45],\n [208, 201], [201, 32], [32, 208], [98, 64], [64, 129], [129, 98],\n [192, 213], [213, 138], [138, 192], [235, 59], [59, 219], [219, 235],\n [141, 242], [242, 97], [97, 141], [97, 2], [2, 141], [141, 97],\n [240, 75], [75, 235], [235, 240], [229, 24], [24, 228], [228, 229],\n [31, 25], [25, 226], [226, 31], [230, 23], [23, 229], [229, 230],\n [231, 22], [22, 230], [230, 231], [232, 26], [26, 231], [231, 232],\n [233, 112], [112, 232], [232, 233], [244, 189], [189, 243], [243, 244],\n [189, 221], [221, 190], [190, 189], [222, 28], [28, 221], [221, 222],\n [223, 27], [27, 222], [222, 223], [224, 29], [29, 223], [223, 224],\n [225, 30], [30, 224], [224, 225], [113, 247], [247, 225], [225, 113],\n [99, 60], [60, 240], [240, 99], [213, 147], [147, 215], [215, 213],\n [60, 20], [20, 166], [166, 60], [192, 187], [187, 213], [213, 192],\n [243, 112], [112, 244], [244, 243], [244, 233], [233, 245], [245, 244],\n [245, 128], [128, 188], [188, 245], [188, 114], [114, 174], [174, 188],\n [134, 131], [131, 220], [220, 134], [174, 217], [217, 236], [236, 174],\n [236, 198], [198, 134], [134, 236], [215, 177], [177, 58], [58, 215],\n [156, 143], [143, 124], [124, 156], [25, 110], [110, 7], [7, 25],\n [31, 228], [228, 25], [25, 31], [264, 356], [356, 368], [368, 264],\n [0, 11], [11, 267], [267, 0], [451, 452], [452, 349], [349, 451],\n [267, 302], [302, 269], [269, 267], [350, 357], [357, 277], [277, 350],\n [350, 452], [452, 357], [357, 350], [299, 333], [333, 297], [297, 299],\n [396, 175], [175, 377], [377, 396], [280, 347], [347, 330], [330, 280],\n [269, 303], [303, 270], [270, 269], [151, 9], [9, 337], [337, 151],\n [344, 278], [278, 360], [360, 344], [424, 418], [418, 431], [431, 424],\n [270, 304], [304, 409], [409, 270], [272, 310], [310, 407], [407, 272],\n [322, 270], [270, 410], [410, 322], [449, 450], [450, 347], [347, 449],\n [432, 422], [422, 434], [434, 432], [18, 313], [313, 17], [17, 18],\n [291, 306], [306, 375], [375, 291], [259, 387], [387, 260], [260, 259],\n [424, 335], [335, 418], [418, 424], [434, 364], [364, 416], [416, 434],\n [391, 423], [423, 327], [327, 391], [301, 251], [251, 298], [298, 301],\n [275, 281], [281, 4], [4, 275], [254, 373], [373, 253], [253, 254],\n [375, 307], [307, 321], [321, 375], [280, 425], [425, 411], [411, 280],\n [200, 421], [421, 18], [18, 200], [335, 321], [321, 406], [406, 335],\n [321, 320], [320, 405], [405, 321], [314, 315], [315, 17], [17, 314],\n [423, 426], [426, 266], [266, 423], [396, 377], [377, 369], [369, 396],\n [270, 322], [322, 269], [269, 270], [413, 417], [417, 464], [464, 413],\n [385, 386], [386, 258], [258, 385], [248, 456], [456, 419], [419, 248],\n [298, 284], [284, 333], [333, 298], [168, 417], [417, 8], [8, 168],\n [448, 346], [346, 261], [261, 448], [417, 413], [413, 285], [285, 417],\n [326, 327], [327, 328], [328, 326], [277, 355], [355, 329], [329, 277],\n [309, 392], [392, 438], [438, 309], [381, 382], [382, 256], [256, 381],\n [279, 429], [429, 360], [360, 279], [365, 364], [364, 379], [379, 365],\n [355, 277], [277, 437], [437, 355], [282, 443], [443, 283], [283, 282],\n [281, 275], [275, 363], [363, 281], [395, 431], [431, 369], [369, 395],\n [299, 297], [297, 337], [337, 299], [335, 273], [273, 321], [321, 335],\n [348, 450], [450, 349], [349, 348], [359, 446], [446, 467], [467, 359],\n [283, 293], [293, 282], [282, 283], [250, 458], [458, 462], [462, 250],\n [300, 276], [276, 383], [383, 300], [292, 308], [308, 325], [325, 292],\n [283, 276], [276, 293], [293, 283], [264, 372], [372, 447], [447, 264],\n [346, 352], [352, 340], [340, 346], [354, 274], [274, 19], [19, 354],\n [363, 456], [456, 281], [281, 363], [426, 436], [436, 425], [425, 426],\n [380, 381], [381, 252], [252, 380], [267, 269], [269, 393], [393, 267],\n [421, 200], [200, 428], [428, 421], [371, 266], [266, 329], [329, 371],\n [432, 287], [287, 422], [422, 432], [290, 250], [250, 328], [328, 290],\n [385, 258], [258, 384], [384, 385], [446, 265], [265, 342], [342, 446],\n [386, 387], [387, 257], [257, 386], [422, 424], [424, 430], [430, 422],\n [445, 342], [342, 276], [276, 445], [422, 273], [273, 424], [424, 422],\n [306, 292], [292, 307], [307, 306], [352, 366], [366, 345], [345, 352],\n [268, 271], [271, 302], [302, 268], [358, 423], [423, 371], [371, 358],\n [327, 294], [294, 460], [460, 327], [331, 279], [279, 294], [294, 331],\n [303, 271], [271, 304], [304, 303], [436, 432], [432, 427], [427, 436],\n [304, 272], [272, 408], [408, 304], [395, 394], [394, 431], [431, 395],\n [378, 395], [395, 400], [400, 378], [296, 334], [334, 299], [299, 296],\n [6, 351], [351, 168], [168, 6], [376, 352], [352, 411], [411, 376],\n [307, 325], [325, 320], [320, 307], [285, 295], [295, 336], [336, 285],\n [320, 319], [319, 404], [404, 320], [329, 330], [330, 349], [349, 329],\n [334, 293], [293, 333], [333, 334], [366, 323], [323, 447], [447, 366],\n [316, 15], [15, 315], [315, 316], [331, 358], [358, 279], [279, 331],\n [317, 14], [14, 316], [316, 317], [8, 285], [285, 9], [9, 8],\n [277, 329], [329, 350], [350, 277], [253, 374], [374, 252], [252, 253],\n [319, 318], [318, 403], [403, 319], [351, 6], [6, 419], [419, 351],\n [324, 318], [318, 325], [325, 324], [397, 367], [367, 365], [365, 397],\n [288, 435], [435, 397], [397, 288], [278, 344], [344, 439], [439, 278],\n [310, 272], [272, 311], [311, 310], [248, 195], [195, 281], [281, 248],\n [375, 273], [273, 291], [291, 375], [175, 396], [396, 199], [199, 175],\n [312, 311], [311, 268], [268, 312], [276, 283], [283, 445], [445, 276],\n [390, 373], [373, 339], [339, 390], [295, 282], [282, 296], [296, 295],\n [448, 449], [449, 346], [346, 448], [356, 264], [264, 454], [454, 356],\n [337, 336], [336, 299], [299, 337], [337, 338], [338, 151], [151, 337],\n [294, 278], [278, 455], [455, 294], [308, 292], [292, 415], [415, 308],\n [429, 358], [358, 355], [355, 429], [265, 340], [340, 372], [372, 265],\n [352, 346], [346, 280], [280, 352], [295, 442], [442, 282], [282, 295],\n [354, 19], [19, 370], [370, 354], [285, 441], [441, 295], [295, 285],\n [195, 248], [248, 197], [197, 195], [457, 440], [440, 274], [274, 457],\n [301, 300], [300, 368], [368, 301], [417, 351], [351, 465], [465, 417],\n [251, 301], [301, 389], [389, 251], [394, 395], [395, 379], [379, 394],\n [399, 412], [412, 419], [419, 399], [410, 436], [436, 322], [322, 410],\n [326, 2], [2, 393], [393, 326], [354, 370], [370, 461], [461, 354],\n [393, 164], [164, 267], [267, 393], [268, 302], [302, 12], [12, 268],\n [312, 268], [268, 13], [13, 312], [298, 293], [293, 301], [301, 298],\n [265, 446], [446, 340], [340, 265], [280, 330], [330, 425], [425, 280],\n [322, 426], [426, 391], [391, 322], [420, 429], [429, 437], [437, 420],\n [393, 391], [391, 326], [326, 393], [344, 440], [440, 438], [438, 344],\n [458, 459], [459, 461], [461, 458], [364, 434], [434, 394], [394, 364],\n [428, 396], [396, 262], [262, 428], [274, 354], [354, 457], [457, 274],\n [317, 316], [316, 402], [402, 317], [316, 315], [315, 403], [403, 316],\n [315, 314], [314, 404], [404, 315], [314, 313], [313, 405], [405, 314],\n [313, 421], [421, 406], [406, 313], [323, 366], [366, 361], [361, 323],\n [292, 306], [306, 407], [407, 292], [306, 291], [291, 408], [408, 306],\n [291, 287], [287, 409], [409, 291], [287, 432], [432, 410], [410, 287],\n [427, 434], [434, 411], [411, 427], [372, 264], [264, 383], [383, 372],\n [459, 309], [309, 457], [457, 459], [366, 352], [352, 401], [401, 366],\n [1, 274], [274, 4], [4, 1], [418, 421], [421, 262], [262, 418],\n [331, 294], [294, 358], [358, 331], [435, 433], [433, 367], [367, 435],\n [392, 289], [289, 439], [439, 392], [328, 462], [462, 326], [326, 328],\n [94, 2], [2, 370], [370, 94], [289, 305], [305, 455], [455, 289],\n [339, 254], [254, 448], [448, 339], [359, 255], [255, 446], [446, 359],\n [254, 253], [253, 449], [449, 254], [253, 252], [252, 450], [450, 253],\n [252, 256], [256, 451], [451, 252], [256, 341], [341, 452], [452, 256],\n [414, 413], [413, 463], [463, 414], [286, 441], [441, 414], [414, 286],\n [286, 258], [258, 441], [441, 286], [258, 257], [257, 442], [442, 258],\n [257, 259], [259, 443], [443, 257], [259, 260], [260, 444], [444, 259],\n [260, 467], [467, 445], [445, 260], [309, 459], [459, 250], [250, 309],\n [305, 289], [289, 290], [290, 305], [305, 290], [290, 460], [460, 305],\n [401, 376], [376, 435], [435, 401], [309, 250], [250, 392], [392, 309],\n [376, 411], [411, 433], [433, 376], [453, 341], [341, 464], [464, 453],\n [357, 453], [453, 465], [465, 357], [343, 357], [357, 412], [412, 343],\n [437, 343], [343, 399], [399, 437], [344, 360], [360, 440], [440, 344],\n [420, 437], [437, 456], [456, 420], [360, 420], [420, 363], [363, 360],\n [361, 401], [401, 288], [288, 361], [265, 372], [372, 353], [353, 265],\n [390, 339], [339, 249], [249, 390], [339, 448], [448, 255], [255, 339],\n];\n", "// @tensorflow/tfjs-models/face-landmark-detection/src/constants.ts\n// https://github.com/google/mediapipe/mediapipe/python/solutions/face_mesh_connections.py\n\ntype PairArray = [number, number][];\n\nconst LIPS_CONNECTIONS: PairArray = [\n [61, 146], [146, 91], [91, 181], [181, 84], [84, 17], [17, 314], [314, 405], [405, 321], [321, 375], [375, 291], [61, 185], [185, 40], [40, 39], [39, 37], [37, 0], [0, 267], [267, 269], [269, 270], [270, 409], [409, 291],\n [78, 95], [95, 88], [88, 178], [178, 87], [87, 14], [14, 317], [317, 402], [402, 318], [318, 324], [324, 308], [78, 191], [191, 80], [80, 81], [81, 82], [82, 13], [13, 312], [312, 311], [311, 310], [310, 415], [415, 308],\n];\n\nconst LEFT_EYE_CONNECTIONS: PairArray = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]];\n\nconst LEFT_EYEBROW_CONNECTIONS: PairArray = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]];\n\nconst LEFT_IRIS_CONNECTIONS: PairArray = [[474, 475], [475, 476], [476, 477], [477, 474]];\n\nconst RIGHT_EYE_CONNECTIONS: PairArray = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]];\n\nconst RIGHT_EYEBROW_CONNECTIONS: PairArray = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]];\n\nconst RIGHT_IRIS_CONNECTIONS: PairArray = [[469, 470], [470, 471], [471, 472], [472, 469]];\n\nconst FACE_OVAL_CONNECTIONS: PairArray = [\n [10, 338], [338, 297], [297, 332], [332, 284], [284, 251], [251, 389], [389, 356], [356, 454], [454, 323], [323, 361], [361, 288], [288, 397], [397, 365], [365, 379], [379, 378], [378, 400], [400, 377], [377, 152],\n [152, 148], [148, 176], [176, 149], [149, 150], [150, 136], [136, 172], [172, 58], [58, 132], [132, 93], [93, 234], [234, 127], [127, 162], [162, 21], [21, 54], [54, 103], [103, 67], [67, 109], [109, 10],\n];\n\nexport const MEDIAPIPE_FACE_MESH_CONNECTED_KEYPOINTS_PAIRS: PairArray = [\n [127, 34], [34, 139], [139, 127], [11, 0], [0, 37], [37, 11], [232, 231], [231, 120], [120, 232], [72, 37], [37, 39], [39, 72], [128, 121], [121, 47], [47, 128], [232, 121], [121, 128], [128, 232],\n [104, 69], [69, 67], [67, 104], [175, 171], [171, 148], [148, 175], [118, 50], [50, 101], [101, 118], [73, 39], [39, 40], [40, 73], [9, 151], [151, 108], [108, 9], [48, 115], [115, 131], [131, 48],\n [194, 204], [204, 211], [211, 194], [74, 40], [40, 185], [185, 74], [80, 42], [42, 183], [183, 80], [40, 92], [92, 186], [186, 40], [230, 229], [229, 118], [118, 230], [202, 212], [212, 214], [214, 202],\n [83, 18], [18, 17], [17, 83], [76, 61], [61, 146], [146, 76], [160, 29], [29, 30], [30, 160], [56, 157], [157, 173], [173, 56], [106, 204], [204, 194], [194, 106], [135, 214], [214, 192], [192, 135],\n [203, 165], [165, 98], [98, 203], [21, 71], [71, 68], [68, 21], [51, 45], [45, 4], [4, 51], [144, 24], [24, 23], [23, 144], [77, 146], [146, 91], [91, 77], [205, 50], [50, 187], [187, 205],\n [201, 200], [200, 18], [18, 201], [91, 106], [106, 182], [182, 91], [90, 91], [91, 181], [181, 90], [85, 84], [84, 17], [17, 85], [206, 203], [203, 36], [36, 206], [148, 171], [171, 140], [140, 148],\n [92, 40], [40, 39], [39, 92], [193, 189], [189, 244], [244, 193], [159, 158], [158, 28], [28, 159], [247, 246], [246, 161], [161, 247], [236, 3], [3, 196], [196, 236], [54, 68], [68, 104], [104, 54],\n [193, 168], [168, 8], [8, 193], [117, 228], [228, 31], [31, 117], [189, 193], [193, 55], [55, 189], [98, 97], [97, 99], [99, 98], [126, 47], [47, 100], [100, 126], [166, 79], [79, 218], [218, 166],\n [155, 154], [154, 26], [26, 155], [209, 49], [49, 131], [131, 209], [135, 136], [136, 150], [150, 135], [47, 126], [126, 217], [217, 47], [223, 52], [52, 53], [53, 223], [45, 51], [51, 134], [134, 45],\n [211, 170], [170, 140], [140, 211], [67, 69], [69, 108], [108, 67], [43, 106], [106, 91], [91, 43], [230, 119], [119, 120], [120, 230], [226, 130], [130, 247], [247, 226], [63, 53], [53, 52], [52, 63],\n [238, 20], [20, 242], [242, 238], [46, 70], [70, 156], [156, 46], [78, 62], [62, 96], [96, 78], [46, 53], [53, 63], [63, 46], [143, 34], [34, 227], [227, 143], [123, 117], [117, 111], [111, 123],\n [44, 125], [125, 19], [19, 44], [236, 134], [134, 51], [51, 236], [216, 206], [206, 205], [205, 216], [154, 153], [153, 22], [22, 154], [39, 37], [37, 167], [167, 39], [200, 201], [201, 208], [208, 200],\n [36, 142], [142, 100], [100, 36], [57, 212], [212, 202], [202, 57], [20, 60], [60, 99], [99, 20], [28, 158], [158, 157], [157, 28], [35, 226], [226, 113], [113, 35], [160, 159], [159, 27], [27, 160],\n [204, 202], [202, 210], [210, 204], [113, 225], [225, 46], [46, 113], [43, 202], [202, 204], [204, 43], [62, 76], [76, 77], [77, 62], [137, 123], [123, 116], [116, 137], [41, 38], [38, 72], [72, 41],\n [203, 129], [129, 142], [142, 203], [64, 98], [98, 240], [240, 64], [49, 102], [102, 64], [64, 49], [41, 73], [73, 74], [74, 41], [212, 216], [216, 207], [207, 212], [42, 74], [74, 184], [184, 42],\n [169, 170], [170, 211], [211, 169], [170, 149], [149, 176], [176, 170], [105, 66], [66, 69], [69, 105], [122, 6], [6, 168], [168, 122], [123, 147], [147, 187], [187, 123], [96, 77], [77, 90], [90, 96],\n [65, 55], [55, 107], [107, 65], [89, 90], [90, 180], [180, 89], [101, 100], [100, 120], [120, 101], [63, 105], [105, 104], [104, 63], [93, 137], [137, 227], [227, 93], [15, 86], [86, 85], [85, 15],\n [129, 102], [102, 49], [49, 129], [14, 87], [87, 86], [86, 14], [55, 8], [8, 9], [9, 55], [100, 47], [47, 121], [121, 100], [145, 23], [23, 22], [22, 145], [88, 89], [89, 179], [179, 88],\n [6, 122], [122, 196], [196, 6], [88, 95], [95, 96], [96, 88], [138, 172], [172, 136], [136, 138], [215, 58], [58, 172], [172, 215], [115, 48], [48, 219], [219, 115], [42, 80], [80, 81], [81, 42],\n [195, 3], [3, 51], [51, 195], [43, 146], [146, 61], [61, 43], [171, 175], [175, 199], [199, 171], [81, 82], [82, 38], [38, 81], [53, 46], [46, 225], [225, 53], [144, 163], [163, 110], [110, 144],\n [52, 65], [65, 66], [66, 52], [229, 228], [228, 117], [117, 229], [34, 127], [127, 234], [234, 34], [107, 108], [108, 69], [69, 107], [109, 108], [108, 151], [151, 109], [48, 64], [64, 235], [235, 48],\n [62, 78], [78, 191], [191, 62], [129, 209], [209, 126], [126, 129], [111, 35], [35, 143], [143, 111], [117, 123], [123, 50], [50, 117], [222, 65], [65, 52], [52, 222], [19, 125], [125, 141], [141, 19],\n [221, 55], [55, 65], [65, 221], [3, 195], [195, 197], [197, 3], [25, 7], [7, 33], [33, 25], [220, 237], [237, 44], [44, 220], [70, 71], [71, 139], [139, 70], [122, 193], [193, 245], [245, 122],\n [247, 130], [130, 33], [33, 247], [71, 21], [21, 162], [162, 71], [170, 169], [169, 150], [150, 170], [188, 174], [174, 196], [196, 188], [216, 186], [186, 92], [92, 216], [2, 97], [97, 167], [167, 2],\n [141, 125], [125, 241], [241, 141], [164, 167], [167, 37], [37, 164], [72, 38], [38, 12], [12, 72], [38, 82], [82, 13], [13, 38], [63, 68], [68, 71], [71, 63], [226, 35], [35, 111], [111, 226],\n [101, 50], [50, 205], [205, 101], [206, 92], [92, 165], [165, 206], [209, 198], [198, 217], [217, 209], [165, 167], [167, 97], [97, 165], [220, 115], [115, 218], [218, 220], [133, 112], [112, 243], [243, 133],\n [239, 238], [238, 241], [241, 239], [214, 135], [135, 169], [169, 214], [190, 173], [173, 133], [133, 190], [171, 208], [208, 32], [32, 171], [125, 44], [44, 237], [237, 125], [86, 87], [87, 178], [178, 86],\n [85, 86], [86, 179], [179, 85], [84, 85], [85, 180], [180, 84], [83, 84], [84, 181], [181, 83], [201, 83], [83, 182], [182, 201], [137, 93], [93, 132], [132, 137], [76, 62], [62, 183], [183, 76],\n [61, 76], [76, 184], [184, 61], [57, 61], [61, 185], [185, 57], [212, 57], [57, 186], [186, 212], [214, 207], [207, 187], [187, 214], [34, 143], [143, 156], [156, 34], [79, 239], [239, 237], [237, 79],\n [123, 137], [137, 177], [177, 123], [44, 1], [1, 4], [4, 44], [201, 194], [194, 32], [32, 201], [64, 102], [102, 129], [129, 64], [213, 215], [215, 138], [138, 213], [59, 166], [166, 219], [219, 59],\n [242, 99], [99, 97], [97, 242], [2, 94], [94, 141], [141, 2], [75, 59], [59, 235], [235, 75], [24, 110], [110, 228], [228, 24], [25, 130], [130, 226], [226, 25], [23, 24], [24, 229], [229, 23],\n [22, 23], [23, 230], [230, 22], [26, 22], [22, 231], [231, 26], [112, 26], [26, 232], [232, 112], [189, 190], [190, 243], [243, 189], [221, 56], [56, 190], [190, 221], [28, 56], [56, 221], [221, 28],\n [27, 28], [28, 222], [222, 27], [29, 27], [27, 223], [223, 29], [30, 29], [29, 224], [224, 30], [247, 30], [30, 225], [225, 247], [238, 79], [79, 20], [20, 238], [166, 59], [59, 75], [75, 166],\n [60, 75], [75, 240], [240, 60], [147, 177], [177, 215], [215, 147], [20, 79], [79, 166], [166, 20], [187, 147], [147, 213], [213, 187], [112, 233], [233, 244], [244, 112], [233, 128], [128, 245], [245, 233],\n [128, 114], [114, 188], [188, 128], [114, 217], [217, 174], [174, 114], [131, 115], [115, 220], [220, 131], [217, 198], [198, 236], [236, 217], [198, 131], [131, 134], [134, 198], [177, 132], [132, 58], [58, 177],\n [143, 35], [35, 124], [124, 143], [110, 163], [163, 7], [7, 110], [228, 110], [110, 25], [25, 228], [356, 389], [389, 368], [368, 356], [11, 302], [302, 267], [267, 11], [452, 350], [350, 349], [349, 452],\n [302, 303], [303, 269], [269, 302], [357, 343], [343, 277], [277, 357], [452, 453], [453, 357], [357, 452], [333, 332], [332, 297], [297, 333], [175, 152], [152, 377], [377, 175], [347, 348], [348, 330], [330, 347],\n [303, 304], [304, 270], [270, 303], [9, 336], [336, 337], [337, 9], [278, 279], [279, 360], [360, 278], [418, 262], [262, 431], [431, 418], [304, 408], [408, 409], [409, 304], [310, 415], [415, 407], [407, 310],\n [270, 409], [409, 410], [410, 270], [450, 348], [348, 347], [347, 450], [422, 430], [430, 434], [434, 422], [313, 314], [314, 17], [17, 313], [306, 307], [307, 375], [375, 306], [387, 388], [388, 260], [260, 387],\n [286, 414], [414, 398], [398, 286], [335, 406], [406, 418], [418, 335], [364, 367], [367, 416], [416, 364], [423, 358], [358, 327], [327, 423], [251, 284], [284, 298], [298, 251], [281, 5], [5, 4], [4, 281],\n [373, 374], [374, 253], [253, 373], [307, 320], [320, 321], [321, 307], [425, 427], [427, 411], [411, 425], [421, 313], [313, 18], [18, 421], [321, 405], [405, 406], [406, 321], [320, 404], [404, 405], [405, 320],\n [315, 16], [16, 17], [17, 315], [426, 425], [425, 266], [266, 426], [377, 400], [400, 369], [369, 377], [322, 391], [391, 269], [269, 322], [417, 465], [465, 464], [464, 417], [386, 257], [257, 258], [258, 386],\n [466, 260], [260, 388], [388, 466], [456, 399], [399, 419], [419, 456], [284, 332], [332, 333], [333, 284], [417, 285], [285, 8], [8, 417], [346, 340], [340, 261], [261, 346], [413, 441], [441, 285], [285, 413],\n [327, 460], [460, 328], [328, 327], [355, 371], [371, 329], [329, 355], [392, 439], [439, 438], [438, 392], [382, 341], [341, 256], [256, 382], [429, 420], [420, 360], [360, 429], [364, 394], [394, 379], [379, 364],\n [277, 343], [343, 437], [437, 277], [443, 444], [444, 283], [283, 443], [275, 440], [440, 363], [363, 275], [431, 262], [262, 369], [369, 431], [297, 338], [338, 337], [337, 297], [273, 375], [375, 321], [321, 273],\n [450, 451], [451, 349], [349, 450], [446, 342], [342, 467], [467, 446], [293, 334], [334, 282], [282, 293], [458, 461], [461, 462], [462, 458], [276, 353], [353, 383], [383, 276], [308, 324], [324, 325], [325, 308],\n [276, 300], [300, 293], [293, 276], [372, 345], [345, 447], [447, 372], [352, 345], [345, 340], [340, 352], [274, 1], [1, 19], [19, 274], [456, 248], [248, 281], [281, 456], [436, 427], [427, 425], [425, 436],\n [381, 256], [256, 252], [252, 381], [269, 391], [391, 393], [393, 269], [200, 199], [199, 428], [428, 200], [266, 330], [330, 329], [329, 266], [287, 273], [273, 422], [422, 287], [250, 462], [462, 328], [328, 250],\n [258, 286], [286, 384], [384, 258], [265, 353], [353, 342], [342, 265], [387, 259], [259, 257], [257, 387], [424, 431], [431, 430], [430, 424], [342, 353], [353, 276], [276, 342], [273, 335], [335, 424], [424, 273],\n [292, 325], [325, 307], [307, 292], [366, 447], [447, 345], [345, 366], [271, 303], [303, 302], [302, 271], [423, 266], [266, 371], [371, 423], [294, 455], [455, 460], [460, 294], [279, 278], [278, 294], [294, 279],\n [271, 272], [272, 304], [304, 271], [432, 434], [434, 427], [427, 432], [272, 407], [407, 408], [408, 272], [394, 430], [430, 431], [431, 394], [395, 369], [369, 400], [400, 395], [334, 333], [333, 299], [299, 334],\n [351, 417], [417, 168], [168, 351], [352, 280], [280, 411], [411, 352], [325, 319], [319, 320], [320, 325], [295, 296], [296, 336], [336, 295], [319, 403], [403, 404], [404, 319], [330, 348], [348, 349], [349, 330],\n [293, 298], [298, 333], [333, 293], [323, 454], [454, 447], [447, 323], [15, 16], [16, 315], [315, 15], [358, 429], [429, 279], [279, 358], [14, 15], [15, 316], [316, 14], [285, 336], [336, 9], [9, 285],\n [329, 349], [349, 350], [350, 329], [374, 380], [380, 252], [252, 374], [318, 402], [402, 403], [403, 318], [6, 197], [197, 419], [419, 6], [318, 319], [319, 325], [325, 318], [367, 364], [364, 365], [365, 367],\n [435, 367], [367, 397], [397, 435], [344, 438], [438, 439], [439, 344], [272, 271], [271, 311], [311, 272], [195, 5], [5, 281], [281, 195], [273, 287], [287, 291], [291, 273], [396, 428], [428, 199], [199, 396],\n [311, 271], [271, 268], [268, 311], [283, 444], [444, 445], [445, 283], [373, 254], [254, 339], [339, 373], [282, 334], [334, 296], [296, 282], [449, 347], [347, 346], [346, 449], [264, 447], [447, 454], [454, 264],\n [336, 296], [296, 299], [299, 336], [338, 10], [10, 151], [151, 338], [278, 439], [439, 455], [455, 278], [292, 407], [407, 415], [415, 292], [358, 371], [371, 355], [355, 358], [340, 345], [345, 372], [372, 340],\n [346, 347], [347, 280], [280, 346], [442, 443], [443, 282], [282, 442], [19, 94], [94, 370], [370, 19], [441, 442], [442, 295], [295, 441], [248, 419], [419, 197], [197, 248], [263, 255], [255, 359], [359, 263],\n [440, 275], [275, 274], [274, 440], [300, 383], [383, 368], [368, 300], [351, 412], [412, 465], [465, 351], [263, 467], [467, 466], [466, 263], [301, 368], [368, 389], [389, 301], [395, 378], [378, 379], [379, 395],\n [412, 351], [351, 419], [419, 412], [436, 426], [426, 322], [322, 436], [2, 164], [164, 393], [393, 2], [370, 462], [462, 461], [461, 370], [164, 0], [0, 267], [267, 164], [302, 11], [11, 12], [12, 302],\n [268, 12], [12, 13], [13, 268], [293, 300], [300, 301], [301, 293], [446, 261], [261, 340], [340, 446], [330, 266], [266, 425], [425, 330], [426, 423], [423, 391], [391, 426], [429, 355], [355, 437], [437, 429],\n [391, 327], [327, 326], [326, 391], [440, 457], [457, 438], [438, 440], [341, 382], [382, 362], [362, 341], [459, 457], [457, 461], [461, 459], [434, 430], [430, 394], [394, 434], [414, 463], [463, 362], [362, 414],\n [396, 369], [369, 262], [262, 396], [354, 461], [461, 457], [457, 354], [316, 403], [403, 402], [402, 316], [315, 404], [404, 403], [403, 315], [314, 405], [405, 404], [404, 314], [313, 406], [406, 405], [405, 313],\n [421, 418], [418, 406], [406, 421], [366, 401], [401, 361], [361, 366], [306, 408], [408, 407], [407, 306], [291, 409], [409, 408], [408, 291], [287, 410], [410, 409], [409, 287], [432, 436], [436, 410], [410, 432],\n [434, 416], [416, 411], [411, 434], [264, 368], [368, 383], [383, 264], [309, 438], [438, 457], [457, 309], [352, 376], [376, 401], [401, 352], [274, 275], [275, 4], [4, 274], [421, 428], [428, 262], [262, 421],\n [294, 327], [327, 358], [358, 294], [433, 416], [416, 367], [367, 433], [289, 455], [455, 439], [439, 289], [462, 370], [370, 326], [326, 462], [2, 326], [326, 370], [370, 2], [305, 460], [460, 455], [455, 305],\n [254, 449], [449, 448], [448, 254], [255, 261], [261, 446], [446, 255], [253, 450], [450, 449], [449, 253], [252, 451], [451, 450], [450, 252], [256, 452], [452, 451], [451, 256], [341, 453], [453, 452], [452, 341],\n [413, 464], [464, 463], [463, 413], [441, 413], [413, 414], [414, 441], [258, 442], [442, 441], [441, 258], [257, 443], [443, 442], [442, 257], [259, 444], [444, 443], [443, 259], [260, 445], [445, 444], [444, 260],\n [467, 342], [342, 445], [445, 467], [459, 458], [458, 250], [250, 459], [289, 392], [392, 290], [290, 289], [290, 328], [328, 460], [460, 290], [376, 433], [433, 435], [435, 376], [250, 290], [290, 392], [392, 250],\n [411, 416], [416, 433], [433, 411], [341, 463], [463, 464], [464, 341], [453, 464], [464, 465], [465, 453], [357, 465], [465, 412], [412, 357], [343, 412], [412, 399], [399, 343], [360, 363], [363, 440], [440, 360],\n [437, 399], [399, 456], [456, 437], [420, 456], [456, 363], [363, 420], [401, 435], [435, 288], [288, 401], [372, 383], [383, 353], [353, 372], [339, 255], [255, 249], [249, 339], [448, 261], [261, 255], [255, 448],\n [133, 243], [243, 190], [190, 133], [133, 155], [155, 112], [112, 133], [33, 246], [246, 247], [247, 33], [33, 130], [130, 25], [25, 33], [398, 384], [384, 286], [286, 398], [362, 398], [398, 414], [414, 362],\n [362, 463], [463, 341], [341, 362], [263, 359], [359, 467], [467, 263], [263, 249], [249, 255], [255, 263], [466, 467], [467, 260], [260, 466], [75, 60], [60, 166], [166, 75], [238, 239], [239, 79], [79, 238],\n [162, 127], [127, 139], [139, 162], [72, 11], [11, 37], [37, 72], [121, 232], [232, 120], [120, 121], [73, 72], [72, 39], [39, 73], [114, 128], [128, 47], [47, 114], [233, 232], [232, 128], [128, 233],\n [103, 104], [104, 67], [67, 103], [152, 175], [175, 148], [148, 152], [119, 118], [118, 101], [101, 119], [74, 73], [73, 40], [40, 74], [107, 9], [9, 108], [108, 107], [49, 48], [48, 131], [131, 49],\n [32, 194], [194, 211], [211, 32], [184, 74], [74, 185], [185, 184], [191, 80], [80, 183], [183, 191], [185, 40], [40, 186], [186, 185], [119, 230], [230, 118], [118, 119], [210, 202], [202, 214], [214, 210],\n [84, 83], [83, 17], [17, 84], [77, 76], [76, 146], [146, 77], [161, 160], [160, 30], [30, 161], [190, 56], [56, 173], [173, 190], [182, 106], [106, 194], [194, 182], [138, 135], [135, 192], [192, 138],\n [129, 203], [203, 98], [98, 129], [54, 21], [21, 68], [68, 54], [5, 51], [51, 4], [4, 5], [145, 144], [144, 23], [23, 145], [90, 77], [77, 91], [91, 90], [207, 205], [205, 187], [187, 207],\n [83, 201], [201, 18], [18, 83], [181, 91], [91, 182], [182, 181], [180, 90], [90, 181], [181, 180], [16, 85], [85, 17], [17, 16], [205, 206], [206, 36], [36, 205], [176, 148], [148, 140], [140, 176],\n [165, 92], [92, 39], [39, 165], [245, 193], [193, 244], [244, 245], [27, 159], [159, 28], [28, 27], [30, 247], [247, 161], [161, 30], [174, 236], [236, 196], [196, 174], [103, 54], [54, 104], [104, 103],\n [55, 193], [193, 8], [8, 55], [111, 117], [117, 31], [31, 111], [221, 189], [189, 55], [55, 221], [240, 98], [98, 99], [99, 240], [142, 126], [126, 100], [100, 142], [219, 166], [166, 218], [218, 219],\n [112, 155], [155, 26], [26, 112], [198, 209], [209, 131], [131, 198], [169, 135], [135, 150], [150, 169], [114, 47], [47, 217], [217, 114], [224, 223], [223, 53], [53, 224], [220, 45], [45, 134], [134, 220],\n [32, 211], [211, 140], [140, 32], [109, 67], [67, 108], [108, 109], [146, 43], [43, 91], [91, 146], [231, 230], [230, 120], [120, 231], [113, 226], [226, 247], [247, 113], [105, 63], [63, 52], [52, 105],\n [241, 238], [238, 242], [242, 241], [124, 46], [46, 156], [156, 124], [95, 78], [78, 96], [96, 95], [70, 46], [46, 63], [63, 70], [116, 143], [143, 227], [227, 116], [116, 123], [123, 111], [111, 116],\n [1, 44], [44, 19], [19, 1], [3, 236], [236, 51], [51, 3], [207, 216], [216, 205], [205, 207], [26, 154], [154, 22], [22, 26], [165, 39], [39, 167], [167, 165], [199, 200], [200, 208], [208, 199],\n [101, 36], [36, 100], [100, 101], [43, 57], [57, 202], [202, 43], [242, 20], [20, 99], [99, 242], [56, 28], [28, 157], [157, 56], [124, 35], [35, 113], [113, 124], [29, 160], [160, 27], [27, 29],\n [211, 204], [204, 210], [210, 211], [124, 113], [113, 46], [46, 124], [106, 43], [43, 204], [204, 106], [96, 62], [62, 77], [77, 96], [227, 137], [137, 116], [116, 227], [73, 41], [41, 72], [72, 73],\n [36, 203], [203, 142], [142, 36], [235, 64], [64, 240], [240, 235], [48, 49], [49, 64], [64, 48], [42, 41], [41, 74], [74, 42], [214, 212], [212, 207], [207, 214], [183, 42], [42, 184], [184, 183],\n [210, 169], [169, 211], [211, 210], [140, 170], [170, 176], [176, 140], [104, 105], [105, 69], [69, 104], [193, 122], [122, 168], [168, 193], [50, 123], [123, 187], [187, 50], [89, 96], [96, 90], [90, 89],\n [66, 65], [65, 107], [107, 66], [179, 89], [89, 180], [180, 179], [119, 101], [101, 120], [120, 119], [68, 63], [63, 104], [104, 68], [234, 93], [93, 227], [227, 234], [16, 15], [15, 85], [85, 16],\n [209, 129], [129, 49], [49, 209], [15, 14], [14, 86], [86, 15], [107, 55], [55, 9], [9, 107], [120, 100], [100, 121], [121, 120], [153, 145], [145, 22], [22, 153], [178, 88], [88, 179], [179, 178],\n [197, 6], [6, 196], [196, 197], [89, 88], [88, 96], [96, 89], [135, 138], [138, 136], [136, 135], [138, 215], [215, 172], [172, 138], [218, 115], [115, 219], [219, 218], [41, 42], [42, 81], [81, 41],\n [5, 195], [195, 51], [51, 5], [57, 43], [43, 61], [61, 57], [208, 171], [171, 199], [199, 208], [41, 81], [81, 38], [38, 41], [224, 53], [53, 225], [225, 224], [24, 144], [144, 110], [110, 24],\n [105, 52], [52, 66], [66, 105], [118, 229], [229, 117], [117, 118], [227, 34], [34, 234], [234, 227], [66, 107], [107, 69], [69, 66], [10, 109], [109, 151], [151, 10], [219, 48], [48, 235], [235, 219],\n [183, 62], [62, 191], [191, 183], [142, 129], [129, 126], [126, 142], [116, 111], [111, 143], [143, 116], [118, 117], [117, 50], [50, 118], [223, 222], [222, 52], [52, 223], [94, 19], [19, 141], [141, 94],\n [222, 221], [221, 65], [65, 222], [196, 3], [3, 197], [197, 196], [45, 220], [220, 44], [44, 45], [156, 70], [70, 139], [139, 156], [188, 122], [122, 245], [245, 188], [139, 71], [71, 162], [162, 139],\n [149, 170], [170, 150], [150, 149], [122, 188], [188, 196], [196, 122], [206, 216], [216, 92], [92, 206], [164, 2], [2, 167], [167, 164], [242, 141], [141, 241], [241, 242], [0, 164], [164, 37], [37, 0],\n [11, 72], [72, 12], [12, 11], [12, 38], [38, 13], [13, 12], [70, 63], [63, 71], [71, 70], [31, 226], [226, 111], [111, 31], [36, 101], [101, 205], [205, 36], [203, 206], [206, 165], [165, 203],\n [126, 209], [209, 217], [217, 126], [98, 165], [165, 97], [97, 98], [237, 220], [220, 218], [218, 237], [237, 239], [239, 241], [241, 237], [210, 214], [214, 169], [169, 210], [140, 171], [171, 32], [32, 140],\n [241, 125], [125, 237], [237, 241], [179, 86], [86, 178], [178, 179], [180, 85], [85, 179], [179, 180], [181, 84], [84, 180], [180, 181], [182, 83], [83, 181], [181, 182], [194, 201], [201, 182], [182, 194],\n [177, 137], [137, 132], [132, 177], [184, 76], [76, 183], [183, 184], [185, 61], [61, 184], [184, 185], [186, 57], [57, 185], [185, 186], [216, 212], [212, 186], [186, 216], [192, 214], [214, 187], [187, 192],\n [139, 34], [34, 156], [156, 139], [218, 79], [79, 237], [237, 218], [147, 123], [123, 177], [177, 147], [45, 44], [44, 4], [4, 45], [208, 201], [201, 32], [32, 208], [98, 64], [64, 129], [129, 98],\n [192, 213], [213, 138], [138, 192], [235, 59], [59, 219], [219, 235], [141, 242], [242, 97], [97, 141], [97, 2], [2, 141], [141, 97], [240, 75], [75, 235], [235, 240], [229, 24], [24, 228], [228, 229],\n [31, 25], [25, 226], [226, 31], [230, 23], [23, 229], [229, 230], [231, 22], [22, 230], [230, 231], [232, 26], [26, 231], [231, 232], [233, 112], [112, 232], [232, 233], [244, 189], [189, 243], [243, 244],\n [189, 221], [221, 190], [190, 189], [222, 28], [28, 221], [221, 222], [223, 27], [27, 222], [222, 223], [224, 29], [29, 223], [223, 224], [225, 30], [30, 224], [224, 225], [113, 247], [247, 225], [225, 113],\n [99, 60], [60, 240], [240, 99], [213, 147], [147, 215], [215, 213], [60, 20], [20, 166], [166, 60], [192, 187], [187, 213], [213, 192], [243, 112], [112, 244], [244, 243], [244, 233], [233, 245], [245, 244],\n [245, 128], [128, 188], [188, 245], [188, 114], [114, 174], [174, 188], [134, 131], [131, 220], [220, 134], [174, 217], [217, 236], [236, 174], [236, 198], [198, 134], [134, 236], [215, 177], [177, 58], [58, 215],\n [156, 143], [143, 124], [124, 156], [25, 110], [110, 7], [7, 25], [31, 228], [228, 25], [25, 31], [264, 356], [356, 368], [368, 264], [0, 11], [11, 267], [267, 0], [451, 452], [452, 349], [349, 451],\n [267, 302], [302, 269], [269, 267], [350, 357], [357, 277], [277, 350], [350, 452], [452, 357], [357, 350], [299, 333], [333, 297], [297, 299], [396, 175], [175, 377], [377, 396], [280, 347], [347, 330], [330, 280],\n [269, 303], [303, 270], [270, 269], [151, 9], [9, 337], [337, 151], [344, 278], [278, 360], [360, 344], [424, 418], [418, 431], [431, 424], [270, 304], [304, 409], [409, 270], [272, 310], [310, 407], [407, 272],\n [322, 270], [270, 410], [410, 322], [449, 450], [450, 347], [347, 449], [432, 422], [422, 434], [434, 432], [18, 313], [313, 17], [17, 18], [291, 306], [306, 375], [375, 291], [259, 387], [387, 260], [260, 259],\n [424, 335], [335, 418], [418, 424], [434, 364], [364, 416], [416, 434], [391, 423], [423, 327], [327, 391], [301, 251], [251, 298], [298, 301], [275, 281], [281, 4], [4, 275], [254, 373], [373, 253], [253, 254],\n [375, 307], [307, 321], [321, 375], [280, 425], [425, 411], [411, 280], [200, 421], [421, 18], [18, 200], [335, 321], [321, 406], [406, 335], [321, 320], [320, 405], [405, 321], [314, 315], [315, 17], [17, 314],\n [423, 426], [426, 266], [266, 423], [396, 377], [377, 369], [369, 396], [270, 322], [322, 269], [269, 270], [413, 417], [417, 464], [464, 413], [385, 386], [386, 258], [258, 385], [248, 456], [456, 419], [419, 248],\n [298, 284], [284, 333], [333, 298], [168, 417], [417, 8], [8, 168], [448, 346], [346, 261], [261, 448], [417, 413], [413, 285], [285, 417], [326, 327], [327, 328], [328, 326], [277, 355], [355, 329], [329, 277],\n [309, 392], [392, 438], [438, 309], [381, 382], [382, 256], [256, 381], [279, 429], [429, 360], [360, 279], [365, 364], [364, 379], [379, 365], [355, 277], [277, 437], [437, 355], [282, 443], [443, 283], [283, 282],\n [281, 275], [275, 363], [363, 281], [395, 431], [431, 369], [369, 395], [299, 297], [297, 337], [337, 299], [335, 273], [273, 321], [321, 335], [348, 450], [450, 349], [349, 348], [359, 446], [446, 467], [467, 359],\n [283, 293], [293, 282], [282, 283], [250, 458], [458, 462], [462, 250], [300, 276], [276, 383], [383, 300], [292, 308], [308, 325], [325, 292], [283, 276], [276, 293], [293, 283], [264, 372], [372, 447], [447, 264],\n [346, 352], [352, 340], [340, 346], [354, 274], [274, 19], [19, 354], [363, 456], [456, 281], [281, 363], [426, 436], [436, 425], [425, 426], [380, 381], [381, 252], [252, 380], [267, 269], [269, 393], [393, 267],\n [421, 200], [200, 428], [428, 421], [371, 266], [266, 329], [329, 371], [432, 287], [287, 422], [422, 432], [290, 250], [250, 328], [328, 290], [385, 258], [258, 384], [384, 385], [446, 265], [265, 342], [342, 446],\n [386, 387], [387, 257], [257, 386], [422, 424], [424, 430], [430, 422], [445, 342], [342, 276], [276, 445], [422, 273], [273, 424], [424, 422], [306, 292], [292, 307], [307, 306], [352, 366], [366, 345], [345, 352],\n [268, 271], [271, 302], [302, 268], [358, 423], [423, 371], [371, 358], [327, 294], [294, 460], [460, 327], [331, 279], [279, 294], [294, 331], [303, 271], [271, 304], [304, 303], [436, 432], [432, 427], [427, 436],\n [304, 272], [272, 408], [408, 304], [395, 394], [394, 431], [431, 395], [378, 395], [395, 400], [400, 378], [296, 334], [334, 299], [299, 296], [6, 351], [351, 168], [168, 6], [376, 352], [352, 411], [411, 376],\n [307, 325], [325, 320], [320, 307], [285, 295], [295, 336], [336, 285], [320, 319], [319, 404], [404, 320], [329, 330], [330, 349], [349, 329], [334, 293], [293, 333], [333, 334], [366, 323], [323, 447], [447, 366],\n [316, 15], [15, 315], [315, 316], [331, 358], [358, 279], [279, 331], [317, 14], [14, 316], [316, 317], [8, 285], [285, 9], [9, 8], [277, 329], [329, 350], [350, 277], [253, 374], [374, 252], [252, 253],\n [319, 318], [318, 403], [403, 319], [351, 6], [6, 419], [419, 351], [324, 318], [318, 325], [325, 324], [397, 367], [367, 365], [365, 397], [288, 435], [435, 397], [397, 288], [278, 344], [344, 439], [439, 278],\n [310, 272], [272, 311], [311, 310], [248, 195], [195, 281], [281, 248], [375, 273], [273, 291], [291, 375], [175, 396], [396, 199], [199, 175], [312, 311], [311, 268], [268, 312], [276, 283], [283, 445], [445, 276],\n [390, 373], [373, 339], [339, 390], [295, 282], [282, 296], [296, 295], [448, 449], [449, 346], [346, 448], [356, 264], [264, 454], [454, 356], [337, 336], [336, 299], [299, 337], [337, 338], [338, 151], [151, 337],\n [294, 278], [278, 455], [455, 294], [308, 292], [292, 415], [415, 308], [429, 358], [358, 355], [355, 429], [265, 340], [340, 372], [372, 265], [352, 346], [346, 280], [280, 352], [295, 442], [442, 282], [282, 295],\n [354, 19], [19, 370], [370, 354], [285, 441], [441, 295], [295, 285], [195, 248], [248, 197], [197, 195], [457, 440], [440, 274], [274, 457], [301, 300], [300, 368], [368, 301], [417, 351], [351, 465], [465, 417],\n [251, 301], [301, 389], [389, 251], [394, 395], [395, 379], [379, 394], [399, 412], [412, 419], [419, 399], [410, 436], [436, 322], [322, 410], [326, 2], [2, 393], [393, 326], [354, 370], [370, 461], [461, 354],\n [393, 164], [164, 267], [267, 393], [268, 302], [302, 12], [12, 268], [312, 268], [268, 13], [13, 312], [298, 293], [293, 301], [301, 298], [265, 446], [446, 340], [340, 265], [280, 330], [330, 425], [425, 280],\n [322, 426], [426, 391], [391, 322], [420, 429], [429, 437], [437, 420], [393, 391], [391, 326], [326, 393], [344, 440], [440, 438], [438, 344], [458, 459], [459, 461], [461, 458], [364, 434], [434, 394], [394, 364],\n [428, 396], [396, 262], [262, 428], [274, 354], [354, 457], [457, 274], [317, 316], [316, 402], [402, 317], [316, 315], [315, 403], [403, 316], [315, 314], [314, 404], [404, 315], [314, 313], [313, 405], [405, 314],\n [313, 421], [421, 406], [406, 313], [323, 366], [366, 361], [361, 323], [292, 306], [306, 407], [407, 292], [306, 291], [291, 408], [408, 306], [291, 287], [287, 409], [409, 291], [287, 432], [432, 410], [410, 287],\n [427, 434], [434, 411], [411, 427], [372, 264], [264, 383], [383, 372], [459, 309], [309, 457], [457, 459], [366, 352], [352, 401], [401, 366], [1, 274], [274, 4], [4, 1], [418, 421], [421, 262], [262, 418],\n [331, 294], [294, 358], [358, 331], [435, 433], [433, 367], [367, 435], [392, 289], [289, 439], [439, 392], [328, 462], [462, 326], [326, 328], [94, 2], [2, 370], [370, 94], [289, 305], [305, 455], [455, 289],\n [339, 254], [254, 448], [448, 339], [359, 255], [255, 446], [446, 359], [254, 253], [253, 449], [449, 254], [253, 252], [252, 450], [450, 253], [252, 256], [256, 451], [451, 252], [256, 341], [341, 452], [452, 256],\n [414, 413], [413, 463], [463, 414], [286, 441], [441, 414], [414, 286], [286, 258], [258, 441], [441, 286], [258, 257], [257, 442], [442, 258], [257, 259], [259, 443], [443, 257], [259, 260], [260, 444], [444, 259],\n [260, 467], [467, 445], [445, 260], [309, 459], [459, 250], [250, 309], [305, 289], [289, 290], [290, 305], [305, 290], [290, 460], [460, 305], [401, 376], [376, 435], [435, 401], [309, 250], [250, 392], [392, 309],\n [376, 411], [411, 433], [433, 376], [453, 341], [341, 464], [464, 453], [357, 453], [453, 465], [465, 357], [343, 357], [357, 412], [412, 343], [437, 343], [343, 399], [399, 437], [344, 360], [360, 440], [440, 344],\n [420, 437], [437, 456], [456, 420], [360, 420], [420, 363], [363, 360], [361, 401], [401, 288], [288, 361], [265, 372], [372, 353], [353, 265], [390, 339], [339, 249], [249, 390], [339, 448], [448, 255], [255, 339],\n];\n\nfunction connectionsToIndices(connections: PairArray) {\n const indices = connections.map((connection) => connection[0]);\n indices.push(connections[connections.length - 1][1]);\n return indices;\n}\n\nexport const MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = {\n lips: connectionsToIndices(LIPS_CONNECTIONS),\n leftEye: connectionsToIndices(LEFT_EYE_CONNECTIONS),\n leftEyebrow: connectionsToIndices(LEFT_EYEBROW_CONNECTIONS),\n leftIris: connectionsToIndices(LEFT_IRIS_CONNECTIONS),\n rightEye: connectionsToIndices(RIGHT_EYE_CONNECTIONS),\n rightEyebrow: connectionsToIndices(RIGHT_EYEBROW_CONNECTIONS),\n rightIris: connectionsToIndices(RIGHT_IRIS_CONNECTIONS),\n faceOval: connectionsToIndices(FACE_OVAL_CONNECTIONS),\n};\n\nconst indexLabelPairs: [number, string][] = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR)\n .map(([label, indices]) => indices.map((index) => [index, label] as [number, string]))\n .flat();\n\nexport const MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs);\n\ntype AssignAverage = number[];\nexport interface LandmarksRefinementConfig {\n indexesMapping: number[]; // Maps indexes of the given set of landmarks to indexes of the resulting set of landmarks. Should be non empty and contain the same amount of indexes as landmarks in the corresponding input\n zRefinement: 'none'|'copy'|AssignAverage; // Z refinement instructions.\n}\n\nexport const LANDMARKS_REFINEMENT_LIPS_CONFIG = [\n 61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291, // Lower outer.\n 185, 40, 39, 37, 0, 267, 269, 270, 409, // Upper outer(excluding corners).\n 78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308, // Lower inner.\n 191, 80, 81, 82, 13, 312, 311, 310, 415, // Upper inner(excluding corners).\n 76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306, // Lower semi - outer.\n 184, 74, 73, 72, 11, 302, 303, 304, 408, // Upper semi - outer(excluding corners).\n 62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292, // Lower semi - inner.\n 183, 42, 41, 38, 12, 268, 271, 272, 407, // Upper semi - inner(excluding corners).\n];\n\nexport const LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [\n 33, 7, 163, 144, 145, 153, 154, 155, 133, // Lower contour.\n 246, 161, 160, 159, 158, 157, 173, // upper contour (excluding corners).\n 130, 25, 110, 24, 23, 22, 26, 112, 243, // Halo x2 lower contour.\n 247, 30, 29, 27, 28, 56, 190, // Halo x2 upper contour (excluding corners).\n 226, 31, 228, 229, 230, 231, 232, 233, 244, // Halo x3 lower contour.\n 113, 225, 224, 223, 222, 221, 189, // Halo x3 upper contour (excluding corners).\n 35, 124, 46, 53, 52, 65, // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour.\n 143, 111, 117, 118, 119, 120, 121, 128, 245, // Halo x5 lower contour.\n 156, 70, 63, 105, 66, 107, 55, 193, // Halo x5 upper contour (excluding corners) or eyebrow outer contour.\n];\n\nexport const LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [\n 263, 249, 390, 373, 374, 380, 381, 382, 362, // Lower contour.\n 466, 388, 387, 386, 385, 384, 398, // Upper contour (excluding corners).\n 359, 255, 339, 254, 253, 252, 256, 341, 463, // Halo x2 lower contour.\n 467, 260, 259, 257, 258, 286, 414, // Halo x2 upper contour (excluding corners).\n 446, 261, 448, 449, 450, 451, 452, 453, 464, // Halo x3 lower contour.\n 342, 445, 444, 443, 442, 441, 413, // Halo x3 upper contour (excluding corners).\n 265, 353, 276, 283, 282, 295, // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour.\n 372, 340, 346, 347, 348, 349, 350, 357, 465, // Halo x5 lower contour.\n 383, 300, 293, 334, 296, 336, 285, 417, // Halo x5 upper contour (excluding corners) or eyebrow outer contour.\n];\n\nexport const LANDMARKS_REFINEMENT_LEFT_IRIS_CONFIG = [\n 468, // Center.\n 469, // Iris right edge.\n 470, // Iris top edge.\n 471, // Iris left edge.\n 472, // Iris bottom edge.\n];\n/*\nzRefinement: [\n 33, 7, 163, 144, 145, 153, 154, 155, 133, // Lower contour.\n 246, 161, 160, 159, 158, 157, 173, // Upper contour (excluding corners).\n];\n*/\n\nexport const LANDMARKS_REFINEMENT_RIGHT_IRIS_CONFIG = [\n 473, // Center.\n 474, // Iris right edge.\n 475, // Iris top edge.\n 476, // Iris left edge.\n 477, // Iris bottom edge.\n];\n/*\nzRefinement: [\n 263, 249, 390, 373, 374, 380, 381, 382, 362, // Lower contour.\n 466, 388, 387, 386, 385, 384, 398, // Upper contour (excluding corners).\n];\n*/\n", "import { TRI468 as triangulation } from '../face/facemeshcoords';\nimport { mergeDeep } from '../util/util';\nimport { getCanvasContext, rad2deg, rect, point, lines, arrow, labels, replace } from './primitives';\nimport { options } from './options';\nimport * as facemeshConstants from '../face/constants';\nimport type { FaceResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\nlet localOptions: DrawOptions;\n\nfunction drawLabels(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (!localOptions.drawLabels || (localOptions.faceLabels?.length === 0)) return;\n let l = localOptions.faceLabels.slice();\n l = replace(l, '[id]', f.id.toFixed(0));\n if (f.score) l = replace(l, '[score]', 100 * f.score);\n if (f.gender) l = replace(l, '[gender]', f.gender);\n if (f.genderScore) l = replace(l, '[genderScore]', 100 * f.genderScore);\n if (f.age) l = replace(l, '[age]', f.age);\n if (f.distance) l = replace(l, '[distance]', 100 * f.distance);\n if (f.real) l = replace(l, '[real]', 100 * f.real);\n if (f.live) l = replace(l, '[live]', 100 * f.live);\n if (f.emotion && f.emotion.length > 0) {\n const emotion = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n if (emotion.length > 3) emotion.length = 3;\n l = replace(l, '[emotions]', emotion.join(' '));\n }\n if (f.rotation?.angle?.roll) l = replace(l, '[roll]', rad2deg(f.rotation.angle.roll));\n if (f.rotation?.angle?.yaw) l = replace(l, '[yaw]', rad2deg(f.rotation.angle.yaw));\n if (f.rotation?.angle?.pitch) l = replace(l, '[pitch]', rad2deg(f.rotation.angle.pitch));\n if (f.rotation?.gaze?.bearing) l = replace(l, '[gaze]', rad2deg(f.rotation.gaze.bearing));\n labels(ctx, l, f.box[0], f.box[1], localOptions);\n}\n\nfunction drawIrisElipse(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n // iris: array[center, left, top, right, bottom]\n if (f.annotations?.leftEyeIris && f.annotations?.leftEyeIris[0]) {\n ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;\n ctx.beginPath();\n const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;\n const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;\n ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;\n ctx.fill();\n }\n }\n if (f.annotations?.rightEyeIris && f.annotations?.rightEyeIris[0]) {\n ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;\n ctx.beginPath();\n const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;\n const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;\n ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;\n ctx.fill();\n }\n }\n}\n\nfunction drawGazeSpheres(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawGaze && f.rotation?.angle && typeof Path2D !== 'undefined') {\n ctx.strokeStyle = 'pink';\n const valX = (f.box[0] + f.box[2] / 2) - (f.box[3] * rad2deg(f.rotation.angle.yaw) / 90);\n const valY = (f.box[1] + f.box[3] / 2) + (f.box[2] * rad2deg(f.rotation.angle.pitch) / 90);\n const pathV = new Path2D(`\n M ${f.box[0] + f.box[2] / 2} ${f.box[1]}\n C\n ${valX} ${f.box[1]},\n ${valX} ${f.box[1] + f.box[3]},\n ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]}\n `);\n const pathH = new Path2D(`\n M ${f.box[0]} ${f.box[1] + f.box[3] / 2}\n C \n ${f.box[0]} ${valY},\n ${f.box[0] + f.box[2]} ${valY},\n ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2}\n `);\n ctx.stroke(pathH);\n ctx.stroke(pathV);\n }\n}\n\nfunction drawGazeArrows(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawGaze && f.rotation?.gaze.strength && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) {\n ctx.strokeStyle = 'pink';\n ctx.fillStyle = 'pink';\n const leftGaze = [\n f.annotations.leftEyeIris[0][0] + (Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3]),\n f.annotations.leftEyeIris[0][1] + (Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2]),\n ];\n arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4);\n const rightGaze = [\n f.annotations.rightEyeIris[0][0] + (Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3]),\n f.annotations.rightEyeIris[0][1] + (Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2]),\n ];\n arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4);\n }\n}\n\nfunction drawFacePolygons(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawPolygons && f.mesh.length >= 468) {\n ctx.lineWidth = 1;\n for (let i = 0; i < triangulation.length / 3; i++) {\n const points = [triangulation[i * 3 + 0], triangulation[i * 3 + 1], triangulation[i * 3 + 2]].map((index) => f.mesh[index]);\n lines(ctx, points, localOptions);\n }\n drawIrisElipse(f, ctx);\n }\n /*\n if (localOptions.drawPolygons && f.contours.length > 1) {\n ctx.lineWidth = 5;\n lines(ctx, f.contours, opt);\n }\n ctx.lineWidth = 1;\n */\n}\n\nfunction drawFacePoints(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawPoints) {\n if (f?.mesh.length >= 468) {\n for (let i = 0; i < f.mesh.length; i++) {\n point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions);\n if (localOptions.drawAttention) {\n if (facemeshConstants.LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) + 127, localOptions);\n if (facemeshConstants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) - 127, localOptions);\n if (facemeshConstants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) - 127, localOptions);\n }\n }\n } else {\n for (const [k, v] of Object.entries(f?.annotations || {})) {\n if (!v?.[0]) continue;\n const pt = v[0];\n point(ctx, pt[0], pt[1], 0, localOptions);\n if (localOptions.drawLabels) labels(ctx, k, pt[0], pt[1], localOptions);\n }\n }\n }\n}\n\nfunction drawFaceBoxes(f: FaceResult, ctx) {\n if (localOptions.drawBoxes) {\n rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions);\n }\n}\n\n/** draw detected faces */\nexport function face(inCanvas: AnyCanvas, result: FaceResult[], drawOptions?: Partial) {\n localOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.font = localOptions.font;\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n for (const f of result) {\n drawFaceBoxes(f, ctx);\n drawLabels(f, ctx);\n if (f.mesh && f.mesh.length > 0) {\n drawFacePoints(f, ctx);\n drawFacePolygons(f, ctx);\n drawGazeSpheres(f, ctx);\n drawGazeArrows(f, ctx);\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, point, curves, colorDepth, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { BodyResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected bodies */\nexport function body(inCanvas: AnyCanvas, result: BodyResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n for (let i = 0; i < result.length; i++) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n ctx.lineWidth = localOptions.lineWidth;\n ctx.font = localOptions.font;\n if (localOptions.drawBoxes && result[i].box && result[i].box.length === 4) {\n rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.bodyLabels?.length > 0)) {\n let l = localOptions.bodyLabels.slice();\n l = replace(l, '[id]', result[i].id.toFixed(0));\n l = replace(l, '[score]', 100 * result[i].score);\n labels(ctx, l, result[i].box[0], result[i].box[1], localOptions);\n }\n }\n if (localOptions.drawPoints && result[i].keypoints) {\n for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n if (!result[i].keypoints[pt].score || (result[i].keypoints[pt].score === 0)) continue;\n ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions);\n point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);\n }\n }\n if (localOptions.drawLabels && (localOptions.bodyPartLabels?.length > 0) && result[i].keypoints) {\n ctx.font = localOptions.font;\n for (const pt of result[i].keypoints) {\n if (!pt.score || (pt.score === 0)) continue;\n let l = localOptions.bodyPartLabels.slice();\n l = replace(l, '[label]', pt.part);\n l = replace(l, '[score]', 100 * pt.score);\n labels(ctx, l, pt.position[0], pt.position[1], localOptions);\n }\n }\n if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {\n for (const part of Object.values(result[i].annotations)) {\n for (const connected of part) curves(ctx, connected, localOptions);\n }\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, point, colorDepth, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { HandResult } from '../result';\nimport type { AnyCanvas, DrawOptions, Point } from '../exports';\n\n/** draw detected hands */\nexport function hand(inCanvas: AnyCanvas, result: HandResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n for (const h of result) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.handLabels?.length > 0)) {\n let l = localOptions.handLabels.slice();\n l = replace(l, '[id]', h.id.toFixed(0));\n l = replace(l, '[label]', h.label);\n l = replace(l, '[score]', 100 * h.score);\n labels(ctx, l, h.box[0], h.box[1], localOptions);\n }\n ctx.stroke();\n }\n if (localOptions.drawPoints) {\n if (h.keypoints && h.keypoints.length > 0) {\n for (const pt of h.keypoints) {\n ctx.fillStyle = colorDepth(pt[2], localOptions);\n point(ctx, pt[0], pt[1], 0, localOptions);\n }\n }\n }\n if (localOptions.drawLabels && h.annotations && (localOptions.fingerLabels?.length > 0)) {\n for (const [part, pt] of Object.entries(h.annotations)) {\n let l = localOptions.fingerLabels.slice();\n l = replace(l, '[label]', part);\n labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions);\n }\n }\n if (localOptions.drawPolygons && h.annotations) {\n const addHandLine = (part: Point[]) => {\n if (!part || part.length === 0 || !part[0]) return;\n for (let i = 0; i < part.length; i++) {\n ctx.beginPath();\n const z = part[i][2] || 0;\n ctx.strokeStyle = colorDepth(i * z, localOptions);\n ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n ctx.lineTo(part[i][0], part[i][1]);\n ctx.stroke();\n }\n };\n ctx.lineWidth = localOptions.lineWidth;\n addHandLine(h.annotations.index);\n addHandLine(h.annotations.middle);\n addHandLine(h.annotations.ring);\n addHandLine(h.annotations.pinky);\n addHandLine(h.annotations.thumb);\n // addPart(h.annotations.palm);\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { ObjectResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected objects */\nexport function object(inCanvas: AnyCanvas, result: ObjectResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n for (const h of result) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.objectLabels?.length > 0)) {\n let l = localOptions.objectLabels.slice();\n l = replace(l, '[id]', h.id.toFixed(0));\n l = replace(l, '[label]', h.label);\n l = replace(l, '[score]', 100 * h.score);\n labels(ctx, l, h.box[0], h.box[1], localOptions);\n }\n ctx.stroke();\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { GestureResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected gestures */\nexport function gesture(inCanvas: AnyCanvas, result: GestureResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n if (localOptions.drawGestures && (localOptions.gestureLabels?.length > 0)) {\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.font = localOptions.font;\n ctx.fillStyle = localOptions.color;\n let i = 1;\n for (let j = 0; j < result.length; j++) {\n const [where, what] = Object.entries(result[j]);\n if ((what.length > 1) && ((what[1] as string).length > 0)) {\n const who = where[1] as number > 0 ? `#${where[1]}` : '';\n let l = localOptions.gestureLabels.slice();\n l = replace(l, '[where]', where[0]);\n l = replace(l, '[who]', who);\n l = replace(l, '[what]', what[1]);\n labels(ctx, l, 8, 2 + (i * localOptions.lineHeight), localOptions);\n i += 1;\n }\n }\n }\n}\n", "export const defaultLabels = {\n face: `face\n confidence: [score]%\n [gender] [genderScore]%\n age: [age] years\n distance: [distance]cm\n real: [real]%\n live: [live]%\n [emotions]\n roll: [roll]\u00B0 yaw:[yaw]\u00B0 pitch:[pitch]\u00B0\n gaze: [gaze]\u00B0`,\n body: 'body [score]%',\n bodyPart: '[label] [score]%',\n object: '[label] [score]%',\n hand: '[label] [score]%',\n finger: '[label]',\n gesture: '[where] [who]: [what]',\n};\n", "/* eslint-disable no-multi-spaces */\n\nexport const kpt: string[] = [\n 'nose', // 0\n 'leftEyeInside', // 1\n 'leftEye', // 2\n 'leftEyeOutside', // 3\n 'rightEyeInside', // 4\n 'rightEye', // 5\n 'rightEyeOutside', // 6\n 'leftEar', // 7\n 'rightEar', // 8\n 'leftMouth', // 9\n 'rightMouth', // 10\n 'leftShoulder', // 11\n 'rightShoulder', // 12\n 'leftElbow', // 13\n 'rightElbow', // 14\n 'leftWrist', // 15\n 'rightWrist', // 16\n 'leftPinky', // 17\n 'rightPinky', // 18\n 'leftIndex', // 19\n 'rightIndex', // 20\n 'leftThumb', // 21\n 'rightThumb', // 22\n 'leftHip', // 23\n 'rightHip', // 24\n 'leftKnee', // 25\n 'rightKnee', // 26\n 'leftAnkle', // 27\n 'rightAnkle', // 28\n 'leftHeel', // 29\n 'rightHeel', // 30\n 'leftFoot', // 31\n 'rightFoot', // 32\n 'bodyCenter', // 33\n 'bodyTop', // 34\n 'leftPalm', // 35 // z-coord not ok\n 'leftHand', // 36 // similar to wrist but z-coord not ok\n 'rightPalm', // 37 // z-coord not ok\n 'rightHand', // 38 // similar to wrist but z-coord not ok\n];\n\nexport const connected: Record = {\n shoulders: ['leftShoulder', 'rightShoulder'],\n hips: ['rightHip', 'leftHip'],\n mouth: ['leftMouth', 'rightMouth'],\n leftLegUpper: ['leftHip', 'leftKnee'],\n leftLegLower: ['leftKnee', 'leftAnkle'],\n leftFoot: ['leftAnkle', 'leftHeel', 'leftFoot'],\n leftTorso: ['leftShoulder', 'leftHip'],\n leftArmUpper: ['leftShoulder', 'leftElbow'],\n leftArmLower: ['leftElbow', 'leftWrist'],\n leftHand: ['leftWrist', 'leftPalm'],\n leftHandPinky: ['leftPalm', 'leftPinky'],\n leftHandIndex: ['leftPalm', 'leftIndex'],\n leftHandThumb: ['leftPalm', 'leftThumb'],\n leftEyeOutline: ['leftEyeInside', 'leftEyeOutside'],\n rightLegUpper: ['rightHip', 'rightKnee'],\n rightLegLower: ['rightKnee', 'rightAnkle'],\n rightFoot: ['rightAnkle', 'rightHeel', 'rightFoot'],\n rightTorso: ['rightShoulder', 'rightHip'],\n rightArmUpper: ['rightShoulder', 'rightElbow'],\n rightArmLower: ['rightElbow', 'rightWrist'],\n rightHand: ['rightWrist', 'rightPalm'],\n rightHandPinky: ['rightPalm', 'rightPinky'],\n rightHandIndex: ['rightPalm', 'rightIndex'],\n rightHandThumb: ['rightPalm', 'rightThumb'],\n rightEyeOutline: ['rightEyeInside', 'rightEyeOutside'],\n};\n", "import * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { env } from '../util/env';\nimport { loadModel } from '../tfjs/load';\nimport type { Box } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D } from '../tfjs/types';\n\nexport interface DetectedBox { box: Box, boxRaw: Box, score: number }\n\nlet model: GraphModel | null;\nlet inputSize = 224;\nlet anchorTensor: { x, y };\nconst numLayers = 5;\nconst strides = [8, 16, 32, 32, 32];\n\nexport function createAnchors() {\n const anchors: { x: number, y: number }[] = [];\n let layerId = 0;\n while (layerId < numLayers) {\n let anchorCount = 0;\n let lastSameStrideLayer = layerId;\n while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) {\n anchorCount += 2;\n lastSameStrideLayer++;\n }\n const stride = strides[layerId];\n const featureMapHeight = Math.ceil(inputSize / stride);\n const featureMapWidth = Math.ceil(inputSize / stride);\n for (let y = 0; y < featureMapHeight; ++y) {\n for (let x = 0; x < featureMapWidth; ++x) {\n for (let anchorId = 0; anchorId < anchorCount; ++anchorId) {\n anchors.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight });\n }\n }\n }\n layerId = lastSameStrideLayer;\n }\n anchorTensor = { x: tf.tensor1d(anchors.map((a) => a.x)), y: tf.tensor1d(anchors.map((a) => a.y)) };\n}\n\nexport async function loadDetector(config: Config): Promise {\n if (env.initial) model = null;\n if (!model && config.body['detector'] && config.body['detector'].modelPath || '') {\n model = await loadModel(config.body['detector'].modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n } else if (config.debug && model) log('cached model:', model['modelUrl']);\n createAnchors();\n return model as GraphModel;\n}\n\nconst cropFactor = [5.0, 5.0];\nexport function decodeBoxes(boxesTensor, anchor) {\n return tf.tidy(() => {\n const split = tf.split(boxesTensor, 12, 1); // first 4 are box data [x,y,w,h] and 4 are keypoints data [x,y] for total of 12\n let xCenter = tf.squeeze(split[0]);\n let yCenter = tf.squeeze(split[1]);\n let width = tf.squeeze(split[2]);\n let height = tf.squeeze(split[3]);\n xCenter = tf.add(tf.div(xCenter, inputSize), anchor.x);\n yCenter = tf.add(tf.div(yCenter, inputSize), anchor.y);\n width = tf.mul(tf.div(width, inputSize), cropFactor[0]);\n height = tf.mul(tf.div(height, inputSize), cropFactor[1]);\n const xMin = tf.sub(xCenter, tf.div(width, 2));\n const yMin = tf.sub(yCenter, tf.div(height, 2));\n const xMax = tf.add(xMin, width);\n const yMax = tf.add(yMin, height);\n const boxes = tf.stack([xMin, yMin, xMax, yMax], 1);\n return boxes;\n });\n}\n\nasync function decodeResults(boxesTensor: Tensor, logitsTensor: Tensor, config: Config, outputSize: [number, number]): Promise {\n const detectedBoxes: DetectedBox[] = [];\n const t: Record = {};\n t.boxes = decodeBoxes(boxesTensor, anchorTensor);\n t.scores = tf.sigmoid(logitsTensor);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, 1, config.body['detector']?.minConfidence || 0.1, config.body['detector']?.iouThreshold || 0.1);\n const nms = await t.nms.data();\n const scores = await t.scores.data();\n const boxes = await t.boxes.array();\n for (const i of Array.from(nms)) {\n const score = scores[i];\n const boxRaw: Box = boxes[i];\n const box: Box = [Math.round(boxRaw[0] * outputSize[0]), Math.round(boxRaw[1] * outputSize[1]), Math.round(boxRaw[2] * outputSize[0]), Math.round(boxRaw[3] * outputSize[1])];\n const detectedBox: DetectedBox = { score, boxRaw, box };\n detectedBoxes.push(detectedBox);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return detectedBoxes;\n}\n\nexport async function detectBoxes(input: Tensor, config: Config, outputSize: [number, number]) {\n const t: Record = {};\n t.res = model?.execute(input, ['Identity']) as Tensor; //\n t.logitsRaw = tf.slice(t.res, [0, 0, 0], [1, -1, 1]);\n t.boxesRaw = tf.slice(t.res, [0, 0, 1], [1, -1, -1]);\n t.logits = tf.squeeze(t.logitsRaw);\n t.boxes = tf.squeeze(t.boxesRaw);\n const boxes = await decodeResults(t.boxes, t.logits, config, outputSize);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n", "import type { Point, Box } from '../result';\n\nexport function calc(keypoints: Point[], outputSize: [number, number] = [1, 1]) {\n const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; // all x/y coords\n const min = [Math.min(...coords[0]), Math.min(...coords[1])];\n const max = [Math.max(...coords[0]), Math.max(...coords[1])];\n const box: Box = [min[0], min[1], max[0] - min[0], max[1] - min[1]];\n const boxRaw: Box = [box[0] / outputSize[0], box[1] / outputSize[1], box[2] / outputSize[0], box[3] / outputSize[1]];\n return { box, boxRaw };\n}\n\nexport function square(keypoints: Point[], outputSize: [number, number] = [1, 1]) {\n const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; // all x/y coords\n const min = [Math.min(...coords[0]), Math.min(...coords[1])];\n const max = [Math.max(...coords[0]), Math.max(...coords[1])];\n const center = [(min[0] + max[0]) / 2, (min[1] + max[1]) / 2]; // find center x and y coord of all fingers\n const dist = Math.max(center[0] - min[0], center[1] - min[1], -center[0] + max[0], -center[1] + max[1]); // largest distance from center in any direction\n const box: Box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)];\n const boxRaw: Box = [box[0] / outputSize[0], box[1] / outputSize[1], box[2] / outputSize[0], box[3] / outputSize[1]];\n return { box, boxRaw };\n}\n\nexport function scale(box: Box, scaleFact: number) {\n const dist = [box[2] * scaleFact, box[3] * scaleFact];\n const newBox: Box = [\n box[0] - (dist[0] - box[2]) / 2,\n box[1] - (dist[1] - box[3]) / 2,\n dist[0],\n dist[1],\n ];\n return newBox;\n}\n\nexport function crop(box: Box) { // [y1, x1, y2, x2] clamped to 0..1\n const yxBox: Box = [Math.max(0, box[1]), Math.max(0, box[0]), Math.min(1, box[3] + box[1]), Math.min(1, box[2] + box[0])];\n return yxBox;\n}\n", "/**\n * BlazePose model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport { log, now } from '../util/util';\nimport type { BodyKeypoint, BodyResult, BodyLandmark, Box, Point, BodyAnnotation } from '../result';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport * as coords from './blazeposecoords';\nimport { loadDetector, detectBoxes, DetectedBox } from './blazeposedetector';\nimport * as box from '../util/box';\nimport { env } from '../util/env';\n\n// const models: [GraphModel | null, GraphModel | null] = [null, null];\nlet model: GraphModel | null;\nlet inputSize = 256;\nlet skipped = Number.MAX_SAFE_INTEGER;\nconst outputNodes: { detector: string[], landmarks: string[] } = {\n landmarks: ['ld_3d', 'activation_segmentation', 'activation_heatmap', 'world_3d', 'output_poseflag'],\n detector: [],\n};\n\nconst cache: BodyResult[] = [];\nlet padding: [number, number][] = [[0, 0], [0, 0], [0, 0], [0, 0]];\nlet lastTime = 0;\n\nconst sigmoid = (x) => (1 - (1 / (1 + Math.exp(x))));\n\nexport const loadDetect = (config: Config): Promise => loadDetector(config);\n\nexport async function loadPose(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n model = await loadModel(config.body.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nfunction prepareImage(input: Tensor4D, size: number, cropBox?: Box): Tensor {\n const t: Record = {};\n if (!input?.shape?.[1] || !input?.shape?.[2]) return input;\n let final: Tensor;\n if (cropBox) {\n t.cropped = tf.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); // if we have cached box use it to crop input\n }\n if (input.shape[1] !== input.shape[2]) { // only pad if width different than height\n const height: [number, number] = [\n input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0,\n input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0,\n ];\n const width: [number, number] = [\n input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0,\n input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0,\n ];\n padding = [\n [0, 0], // dont touch batch\n height, // height before&after\n width, // width before&after\n [0, 0], // dont touch rbg\n ];\n t.pad = tf.pad(t.cropped || input, padding); // use cropped box if it exists\n t.resize = tf.image.resizeBilinear(t.pad as Tensor4D, [size, size]);\n final = tf.div(t.resize, constants.tf255);\n } else if (input.shape[1] !== size) { // if input needs resizing\n t.resize = tf.image.resizeBilinear(t.cropped as Tensor4D || input, [size, size]);\n final = tf.div(t.resize, constants.tf255);\n } else { // if input is already in a correct resolution just normalize it\n final = tf.div(t.cropped || input, constants.tf255);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return final;\n}\n\nfunction rescaleKeypoints(keypoints: BodyKeypoint[], outputSize: [number, number], cropBox?: Box): BodyKeypoint[] {\n for (const kpt of keypoints) { // first rescale due to padding\n kpt.position = [\n Math.trunc(kpt.position[0] * (outputSize[0] + padding[2][0] + padding[2][1]) / outputSize[0] - padding[2][0]),\n Math.trunc(kpt.position[1] * (outputSize[1] + padding[1][0] + padding[1][1]) / outputSize[1] - padding[1][0]),\n kpt.position[2] as number,\n ];\n kpt.positionRaw = [kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1], 2 * (kpt.position[2] as number) / (outputSize[0] + outputSize[1])];\n }\n if (cropBox) { // second rescale due to cropping\n const width = cropBox[2] - cropBox[0];\n const height = cropBox[3] - cropBox[1];\n for (const kpt of keypoints) {\n kpt.positionRaw = [\n kpt.positionRaw[0] / height + cropBox[1], // correct offset due to crop\n kpt.positionRaw[1] / width + cropBox[0], // correct offset due to crop\n kpt.positionRaw[2] as number,\n ];\n kpt.position = [\n Math.trunc(kpt.positionRaw[0] * outputSize[0]),\n Math.trunc(kpt.positionRaw[1] * outputSize[1]),\n kpt.positionRaw[2] as number,\n ];\n }\n }\n return keypoints;\n}\n\nfunction fixKeypoints(keypoints: BodyKeypoint[]) {\n // palm z-coord is incorrect around near-zero so we approximate it\n const leftPalm = keypoints.find((k) => k.part === 'leftPalm') as BodyKeypoint;\n const leftWrist = keypoints.find((k) => k.part === 'leftWrist') as BodyKeypoint;\n const leftIndex = keypoints.find((k) => k.part === 'leftIndex') as BodyKeypoint;\n leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2;\n const rightPalm = keypoints.find((k) => k.part === 'rightPalm') as BodyKeypoint;\n const rightWrist = keypoints.find((k) => k.part === 'rightWrist') as BodyKeypoint;\n const rightIndex = keypoints.find((k) => k.part === 'rightIndex') as BodyKeypoint;\n rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2;\n}\n\nasync function detectLandmarks(input: Tensor, config: Config, outputSize: [number, number]): Promise {\n /**\n * t.ld: 39 keypoints [x,y,z,score,presence] normalized to input size\n * t.segmentation:\n * t.heatmap:\n * t.world: 39 keypoints [x,y,z] normalized to -1..1\n * t.poseflag: body score\n */\n if (!model?.['executor']) return null;\n const t: Record = {};\n [t.ld/* 1,195(39*5) */, t.segmentation/* 1,256,256,1 */, t.heatmap/* 1,64,64,39 */, t.world/* 1,117(39*3) */, t.poseflag/* 1,1 */] = model?.execute(input, outputNodes.landmarks) as Tensor[]; // run model\n const poseScore = (await t.poseflag.data())[0];\n const points = await t.ld.data();\n const distances = await t.world.data();\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor])); // dont need tensors after this\n const keypointsRelative: BodyKeypoint[] = [];\n const depth = 5; // each points has x,y,z,visibility,presence\n for (let i = 0; i < points.length / depth; i++) {\n const score = sigmoid(points[depth * i + 3]);\n const presence = sigmoid(points[depth * i + 4]);\n const adjScore = Math.trunc(100 * score * presence * poseScore) / 100;\n const positionRaw: Point = [points[depth * i + 0] / inputSize, points[depth * i + 1] / inputSize, points[depth * i + 2] + 0];\n const position: Point = [Math.trunc(outputSize[0] * positionRaw[0]), Math.trunc(outputSize[1] * positionRaw[1]), positionRaw[2] as number];\n const distance: Point = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0];\n keypointsRelative.push({ part: coords.kpt[i] as BodyLandmark, positionRaw, position, distance, score: adjScore });\n }\n if (poseScore < (config.body.minConfidence || 0)) return null;\n fixKeypoints(keypointsRelative);\n const keypoints: BodyKeypoint[] = rescaleKeypoints(keypointsRelative, outputSize); // keypoints were relative to input image which is padded\n const kpts = keypoints.map((k) => k.position);\n const boxes = box.calc(kpts, [outputSize[0], outputSize[1]]); // now find boxes based on rescaled keypoints\n const annotations: Record = {} as Record;\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kpt) => kpt.part === indexes[i]);\n const pt1 = keypoints.find((kpt) => kpt.part === indexes[i + 1]);\n if (pt0 && pt1) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n const body = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations };\n return body;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n const outputSize: [number, number] = [input.shape[2] || 0, input.shape[1] || 0];\n const skipTime = (config.body.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && cache !== null) {\n skipped++;\n } else {\n let boxes: DetectedBox[] = [];\n if (config.body?.['detector']?.['enabled']) {\n const preparedImage = prepareImage(input, 224);\n boxes = await detectBoxes(preparedImage, config, outputSize);\n tf.dispose(preparedImage);\n } else {\n boxes = [{ box: [0, 0, 0, 0] as Box, boxRaw: [0, 0, 1, 1], score: 0 }]; // running without detector\n }\n for (let i = 0; i < boxes.length; i++) {\n const preparedBox = prepareImage(input, 256, boxes[i]?.boxRaw); // padded and resized\n cache.length = 0;\n const bodyResult = await detectLandmarks(preparedBox, config, outputSize);\n tf.dispose(preparedBox);\n if (!bodyResult) continue;\n bodyResult.id = i;\n // bodyResult.score = 0; // TBD\n cache.push(bodyResult);\n }\n /*\n cropBox = [0, 0, 1, 1]; // reset crop coordinates\n if (cache?.boxRaw && config.skipAllowed) {\n const cx = (2.0 * cache.boxRaw[0] + cache.boxRaw[2]) / 2;\n const cy = (2.0 * cache.boxRaw[1] + cache.boxRaw[3]) / 2;\n let size = cache.boxRaw[2] > cache.boxRaw[3] ? cache.boxRaw[2] : cache.boxRaw[3];\n size = (size * 1.0) / 2; // enlarge and half it\n if (cx > 0.1 && cx < 0.9 && cy > 0.1 && cy < 0.9 && size > 0.1) { // only update if box is sane\n const y = 0; // cy - size;\n const x = cx - size;\n cropBox = [y, x, y + 1, x + 1]; // [y0,x0,y1,x1] used for cropping but width/height are not yet implemented so we only reposition image to center of body\n }\n }\n */\n lastTime = now();\n skipped = 0;\n }\n return cache;\n}\n", "/**\n * CoCo Labels used by object detection implementations\n */\nexport const labels = [\n { class: 1, label: 'person' },\n { class: 2, label: 'bicycle' },\n { class: 3, label: 'car' },\n { class: 4, label: 'motorcycle' },\n { class: 5, label: 'airplane' },\n { class: 6, label: 'bus' },\n { class: 7, label: 'train' },\n { class: 8, label: 'truck' },\n { class: 9, label: 'boat' },\n { class: 10, label: 'traffic light' },\n { class: 11, label: 'fire hydrant' },\n { class: 12, label: 'stop sign' },\n { class: 13, label: 'parking meter' },\n { class: 14, label: 'bench' },\n { class: 15, label: 'bird' },\n { class: 16, label: 'cat' },\n { class: 17, label: 'dog' },\n { class: 18, label: 'horse' },\n { class: 19, label: 'sheep' },\n { class: 20, label: 'cow' },\n { class: 21, label: 'elephant' },\n { class: 22, label: 'bear' },\n { class: 23, label: 'zebra' },\n { class: 24, label: 'giraffe' },\n { class: 25, label: 'backpack' },\n { class: 26, label: 'umbrella' },\n { class: 27, label: 'handbag' },\n { class: 28, label: 'tie' },\n { class: 29, label: 'suitcase' },\n { class: 30, label: 'frisbee' },\n { class: 31, label: 'skis' },\n { class: 32, label: 'snowboard' },\n { class: 33, label: 'sports ball' },\n { class: 34, label: 'kite' },\n { class: 35, label: 'baseball bat' },\n { class: 36, label: 'baseball glove' },\n { class: 37, label: 'skateboard' },\n { class: 38, label: 'surfboard' },\n { class: 39, label: 'tennis racket' },\n { class: 40, label: 'bottle' },\n { class: 41, label: 'wine glass' },\n { class: 42, label: 'cup' },\n { class: 43, label: 'fork' },\n { class: 44, label: 'knife' },\n { class: 45, label: 'spoon' },\n { class: 46, label: 'bowl' },\n { class: 47, label: 'banana' },\n { class: 48, label: 'apple' },\n { class: 49, label: 'sandwich' },\n { class: 50, label: 'orange' },\n { class: 51, label: 'broccoli' },\n { class: 52, label: 'carrot' },\n { class: 53, label: 'hot dog' },\n { class: 54, label: 'pizza' },\n { class: 55, label: 'donut' },\n { class: 56, label: 'cake' },\n { class: 57, label: 'chair' },\n { class: 58, label: 'couch' },\n { class: 59, label: 'potted plant' },\n { class: 60, label: 'bed' },\n { class: 61, label: 'dining table' },\n { class: 62, label: 'toilet' },\n { class: 63, label: 'tv' },\n { class: 64, label: 'laptop' },\n { class: 65, label: 'mouse' },\n { class: 66, label: 'remote' },\n { class: 67, label: 'keyboard' },\n { class: 68, label: 'cell phone' },\n { class: 69, label: 'microwave' },\n { class: 70, label: 'oven' },\n { class: 71, label: 'toaster' },\n { class: 72, label: 'sink' },\n { class: 73, label: 'refrigerator' },\n { class: 74, label: 'book' },\n { class: 75, label: 'clock' },\n { class: 76, label: 'vase' },\n { class: 77, label: 'scissors' },\n { class: 78, label: 'teddy bear' },\n { class: 79, label: 'hair drier' },\n { class: 80, label: 'toothbrush' },\n];\n", "/**\n * CenterNet object detection model implementation\n *\n * Based on: [**MB3-CenterNet**](https://github.com/610265158/mobilenetv3_centernet)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { labels } from './labels';\nimport type { ObjectResult, ObjectType, Box } from '../result';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\nlet last: ObjectResult[] = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n // fakeOps(['floormod'], config);\n model = await loadModel(config.object.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nasync function process(res: Tensor | null, outputShape: [number, number], config: Config) {\n if (!res) return [];\n const t: Record = {};\n const results: ObjectResult[] = [];\n const detections = await res.array() as number[][][];\n t.squeeze = tf.squeeze(res);\n const arr = tf.split(t.squeeze, 6, 1); // x1, y1, x2, y2, score, class\n t.stack = tf.stack([arr[1], arr[0], arr[3], arr[2]], 1); // reorder dims as tf.nms expects y, x\n t.boxes = tf.squeeze(t.stack);\n t.scores = tf.squeeze(arr[4]);\n t.classes = tf.squeeze(arr[5]);\n tf.dispose([res, ...arr]);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, config.object.maxDetected || 0, config.object.iouThreshold, (config.object.minConfidence || 0));\n const nms = await t.nms.data();\n let i = 0;\n for (const id of Array.from(nms)) {\n const score = Math.trunc(100 * detections[0][id][4]) / 100;\n const classVal = detections[0][id][5];\n if (Number.isNaN(classVal)) continue;\n const label = labels[classVal].label as ObjectType;\n const [x, y] = [\n detections[0][id][0] / inputSize,\n detections[0][id][1] / inputSize,\n ];\n const boxRaw: Box = [\n x,\n y,\n detections[0][id][2] / inputSize - x,\n detections[0][id][3] / inputSize - y,\n ];\n const box: Box = [\n Math.trunc(boxRaw[0] * outputShape[0]),\n Math.trunc(boxRaw[1] * outputShape[1]),\n Math.trunc(boxRaw[2] * outputShape[0]),\n Math.trunc(boxRaw[3] * outputShape[1]),\n ];\n results.push({ id: i++, score, class: classVal, label, box, boxRaw });\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return results;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model?.['executor']) return [];\n const skipTime = (config.object.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.object.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (last.length > 0)) {\n skipped++;\n return last;\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const outputSize = [input.shape[2] || 0, input.shape[1] || 0] as [number, number];\n const resize = tf.image.resizeBilinear(input, [inputSize, inputSize]);\n const objectT = config.object.enabled ? model?.execute(resize, ['tower_0/detections']) as Tensor : null;\n lastTime = now();\n tf.dispose(resize);\n\n const obj = await process(objectT, outputSize, config);\n last = obj;\n\n resolve(obj);\n });\n}\n", "export const kpt: string[] = [\n 'head',\n 'neck',\n 'rightShoulder',\n 'rightElbow',\n 'rightWrist',\n 'chest',\n 'leftShoulder',\n 'leftElbow',\n 'leftWrist',\n 'bodyCenter',\n 'rightHip',\n 'rightKnee',\n 'rightAnkle',\n 'leftHip',\n 'leftKnee',\n 'leftAnkle',\n];\n\nexport const connected: Record = {\n leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],\n rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],\n torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],\n rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],\n head: [],\n};\n", "/**\n * EfficientPose model implementation\n *\n * Based on: [**EfficientPose**](https://github.com/daniegr/EfficientPose)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport * as coords from './efficientposecoords';\nimport { constants } from '../tfjs/constants';\nimport type { BodyResult, Point, BodyLandmark, BodyAnnotation } from '../result';\nimport type { GraphModel, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet lastTime = 0;\nconst cache: BodyResult = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} as Record };\n\n// const keypoints: Array = [];\n// let box: Box = [0, 0, 0, 0];\n// let boxRaw: Box = [0, 0, 0, 0];\n// let score = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.body.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\n// performs argmax and max functions on a 2d tensor\nasync function max2d(inputs, minScore): Promise<[number, number, number]> {\n const [width, height] = inputs.shape;\n const reshaped = tf.reshape(inputs, [height * width]); // combine all data\n const max = tf.max(reshaped, 0);\n const newScore: number = (await max.data())[0]; // get highest score\n if (newScore > minScore) { // skip coordinate calculation is score is too low\n const coordinates = tf.argMax(reshaped, 0);\n const mod = tf.mod(coordinates, width);\n const x = (await mod.data())[0];\n const div = tf.div(coordinates, width);\n const y: number = (await div.data())[0];\n tf.dispose([reshaped, max, coordinates, mod, div]);\n return [x, y, newScore];\n }\n tf.dispose([reshaped, max]);\n return [0, 0, newScore];\n}\n\nexport async function predict(image: Tensor4D, config: Config): Promise {\n if (!model?.['executor'] || !model?.inputs[0].shape) return [];\n const skipTime = (config.body.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && Object.keys(cache.keypoints).length > 0) {\n skipped++;\n return [cache];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const tensor = tf.tidy(() => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape?.[2] || 0, model?.inputs[0].shape?.[1] || 0], false);\n const enhance = tf.mul(resize, constants.tf2);\n const norm = tf.sub(enhance, constants.tf1);\n return norm;\n });\n let resT;\n if (config.body.enabled) resT = model?.execute(tensor);\n lastTime = now();\n tf.dispose(tensor);\n\n if (resT) {\n cache.keypoints.length = 0;\n const squeeze = tf.squeeze(resT);\n tf.dispose(resT);\n // body parts are basically just a stack of 2d tensors\n const stack = tf.unstack(squeeze, 2);\n tf.dispose(squeeze);\n\n // process each unstacked tensor as a separate body part\n for (let id = 0; id < stack.length; id++) {\n // actual processing to get coordinates and score\n const [x, y, partScore] = await max2d(stack[id], config.body.minConfidence);\n if (partScore > (config.body.minConfidence || 0)) {\n cache.keypoints.push({\n score: Math.round(100 * partScore) / 100,\n part: coords.kpt[id] as BodyLandmark,\n positionRaw: [ // normalized to 0..1\n // @ts-ignore model is not undefined here\n x / model.inputs[0].shape[2], y / model.inputs[0].shape[1],\n ],\n position: [ // normalized to input image size\n // @ts-ignore model is not undefined here\n Math.round(image.shape[2] * x / model.inputs[0].shape[2]), Math.round(image.shape[1] * y / model.inputs[0].shape[1]),\n ],\n });\n }\n }\n stack.forEach((s) => tf.dispose(s));\n }\n cache.score = cache.keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);\n const x = cache.keypoints.map((a) => a.position[0]);\n const y = cache.keypoints.map((a) => a.position[1]);\n cache.box = [\n Math.min(...x),\n Math.min(...y),\n Math.max(...x) - Math.min(...x),\n Math.max(...y) - Math.min(...y),\n ];\n const xRaw = cache.keypoints.map((a) => a.positionRaw[0]);\n const yRaw = cache.keypoints.map((a) => a.positionRaw[1]);\n cache.boxRaw = [\n Math.min(...xRaw),\n Math.min(...yRaw),\n Math.max(...xRaw) - Math.min(...xRaw),\n Math.max(...yRaw) - Math.min(...yRaw),\n ];\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = cache.keypoints.find((kpt) => kpt.part === indexes[i]);\n const pt1 = cache.keypoints.find((kpt) => kpt.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n cache.annotations[name] = pt;\n }\n resolve([cache]);\n });\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as coords from './facemeshcoords';\nimport { constants } from '../tfjs/constants';\nimport type { Box, Point } from '../result';\nimport { env } from '../util/env';\n\nexport const createBox = (startEndTensor) => ({ startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]), endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]) });\n\nexport const disposeBox = (t) => tf.dispose([t.startPoint, t.endPoint]);\n\nexport const getBoxSize = (box): [number, number] => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])];\n\nexport const getBoxCenter = (box): [number, number, number] => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1];\n\nexport const clampBox = (box, input): Box => (box ? [\n Math.trunc(Math.max(0, box.startPoint[0])),\n Math.trunc(Math.max(0, box.startPoint[1])),\n Math.trunc(Math.min((input.shape[2] || 0), box.endPoint[0]) - Math.max(0, box.startPoint[0])),\n Math.trunc(Math.min((input.shape[1] || 0), box.endPoint[1]) - Math.max(0, box.startPoint[1])),\n] : [0, 0, 0, 0]);\n\nexport const getRawBox = (box, input): Box => (box ? [\n box.startPoint[0] / (input.shape[2] || 0),\n box.startPoint[1] / (input.shape[1] || 0),\n (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0),\n (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0),\n] : [0, 0, 0, 0]);\n\nexport const scaleBoxCoordinates = (box, factor, anchor) => {\n const startPoint: Point = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint: Point = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n // const centerPoint = [(startPoint[0] + endPoint[0]) / 2, (startPoint[1] + endPoint[1]) / 2];\n const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]);\n /**\n face.mesh = box.landmarks.map((pt) => [\n ((box.startPoint[0] + box.endPoint[0]) / 2) + (pt[0] * input.shape[2] / blazeface.size()),\n ((box.startPoint[1] + box.endPoint[1]) / 2) + (pt[1] * input.shape[1] / blazeface.size()),\n ]);\n */\n\n return { startPoint, endPoint, landmarks, confidence: box.confidence };\n};\n\nexport const cutAndResize = (box, image, cropSize) => {\n const h = image.shape[1];\n const w = image.shape[2];\n const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w];\n const crop = tf.image.cropAndResize(image, [cutBox], [0], cropSize);\n const norm = tf.div(crop, constants.tf255);\n tf.dispose(crop);\n return norm;\n};\n\nexport const enlargeBox = (box, factor) => {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const halfSize: [number, number] = [factor * size[0] / 2, factor * size[1] / 2];\n return {\n startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]] as Point,\n endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]] as Point,\n landmarks: box.landmarks,\n confidence: box.confidence,\n size,\n };\n};\n\nexport const squarifyBox = (box) => {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const halfSize = Math.max(...size) / 2;\n return {\n startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)] as Point,\n endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)] as Point,\n landmarks: box.landmarks,\n confidence: box.confidence,\n size: [Math.round(size[0]), Math.round(size[1])] as [number, number],\n };\n};\n\nexport const calculateLandmarksBoundingBox = (landmarks) => {\n const x = landmarks.map((d) => d[0]);\n const y = landmarks.map((d) => d[1]);\n return {\n startPoint: [Math.min(...x), Math.min(...y)] as Point,\n endPoint: [Math.max(...x), Math.max(...y)] as Point,\n landmarks,\n };\n};\n\nexport const fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n\nexport const normalizeRadians = (angle: number) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n\nexport const computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]));\n\nexport const radToDegrees = (rad) => rad * 180 / Math.PI;\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport const dot = (v1: number[], v2: number[]) => {\n let product = 0;\n for (let i = 0; i < v1.length; i++) product += v1[i] * v2[i];\n return product;\n};\n\nexport const getColumnFrom2DArr = (arr, columnIndex) => {\n const column: number[] = [];\n for (let i = 0; i < arr.length; i++) column.push(arr[i][columnIndex]);\n return column;\n};\n\nexport const multiplyTransformMatrices = (mat1, mat2) => {\n const product: number[][] = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n return product;\n};\n\nexport const buildRotationMatrix = (rotation, center) => {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n};\n\nexport const invertTransformMatrix = (matrix) => {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)];\n return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]];\n};\n\nexport const rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])];\n\nexport const xyDistanceBetweenPoints = (a, b) => Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n\nexport function generateAnchors(inputSize: number) {\n const spec = inputSize === 192\n ? { strides: [4], anchors: [1] } // facemesh-detector\n : { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] }; // blazeface\n const anchors: [number, number][] = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) anchors.push([anchorX, anchorY]);\n }\n }\n }\n return anchors;\n}\n\nexport function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize) {\n const boxSize = getBoxSize(box);\n const coordsScaled = coordsRaw.map((coord) => ([ // scaled around zero-point\n (boxSize[0] / inputSize) * (coord[0] - (inputSize / 2)),\n (boxSize[1] / inputSize) * (coord[1] - (inputSize / 2)),\n (coord[2] || 0),\n ]));\n const largeAngle = angle && (angle !== 0) && (Math.abs(angle) > 0.2);\n const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix;\n const coordsRotated = largeAngle ? coordsScaled.map((coord) => ([...rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix;\n const boxCenter = getBoxCenter(box);\n const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])];\n return coordsRotated.map((coord) => ([\n Math.trunc(coord[0] + offsets[0]),\n Math.trunc(coord[1] + offsets[1]),\n Math.trunc(coord[2] || 0),\n ]));\n}\n\nexport function correctFaceRotation(rotate, box, input, inputSize) {\n const symmetryLine = (box.landmarks.length >= coords.meshLandmarks.count)\n ? coords.meshLandmarks.symmetryLine\n : coords.blazeFaceLandmarks.symmetryLine;\n let angle = 0; // default\n let rotationMatrix = fixedRotationMatrix; // default\n let face; // default\n\n if (rotate && env.kernels.includes('rotatewithoffset')) {\n angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]);\n const largeAngle = angle && (angle !== 0) && (Math.abs(angle) > 0.2);\n if (largeAngle) { // perform rotation only if angle is sufficiently high\n const center: Point = getBoxCenter(box);\n const centerRaw: Point = [center[0] / input.shape[2], center[1] / input.shape[1]];\n const rotated = tf.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]);\n rotationMatrix = buildRotationMatrix(-angle, center);\n face = cutAndResize(box, rotated, [inputSize, inputSize]);\n tf.dispose(rotated);\n } else {\n face = cutAndResize(box, input, [inputSize, inputSize]);\n }\n } else {\n face = cutAndResize(box, input, [inputSize, inputSize]);\n }\n return [angle, rotationMatrix, face];\n}\n\nexport const findFaceCenter = (mesh) => {\n const x = mesh.map((m) => m[0]);\n const y = mesh.map((m) => m[1]);\n // weighted center\n /*\n const sum = (arr: number[]) => arr.reduce((prev, curr) => prev + curr, 0);\n return [sum(x) / mesh.length, sum(y) / mesh.length];\n */\n // absolute center\n return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2];\n};\n\nexport const calculateFaceBox = (mesh, previousBox) => {\n const center = findFaceCenter(mesh);\n const boxSize = getBoxSize(previousBox);\n const calculatedBox = {\n startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2] as Point,\n endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] as Point,\n };\n return calculatedBox;\n};\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport * as util from './facemeshutil';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Config } from '../config';\nimport type { Tensor, GraphModel, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\nimport type { Point } from '../result';\n\nconst keypointsCount = 6;\nconst faceBoxScaleFactor = 1.4;\nlet model: GraphModel | null;\nlet anchors: Tensor | null = null;\nlet inputSize = 0;\nlet inputSizeT: Tensor | null = null;\n\nexport interface DetectBox { startPoint: Point, endPoint: Point, landmarks: Point[], confidence: number, size: [number, number] }\n\nexport const size = () => inputSize;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.detector?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model['executor'] && model.inputs[0].shape) ? model.inputs[0].shape[2] : 256;\n inputSizeT = tf.scalar(inputSize, 'int32') as Tensor;\n anchors = tf.tensor2d(util.generateAnchors(inputSize)) as Tensor;\n return model;\n}\n\nfunction decodeBoxes(boxOutputs: Tensor) {\n if (!anchors || !inputSizeT) return tf.zeros([0, 0]);\n const t: Record = {};\n t.boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n t.centers = tf.add(t.boxStarts, anchors);\n t.boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n t.boxSizesNormalized = tf.div(t.boxSizes, inputSizeT);\n t.centersNormalized = tf.div(t.centers, inputSizeT);\n t.halfBoxSize = tf.div(t.boxSizesNormalized, constants.tf2);\n t.starts = tf.sub(t.centersNormalized, t.halfBoxSize);\n t.ends = tf.add(t.centersNormalized, t.halfBoxSize);\n t.startNormalized = tf.mul(t.starts, inputSizeT);\n t.endNormalized = tf.mul(t.ends, inputSizeT);\n const boxes = tf.concat2d([t.startNormalized as Tensor2D, t.endNormalized as Tensor2D], 1);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n\nexport async function getBoxes(inputImage: Tensor4D, config: Config): Promise {\n // sanity check on input\n if ((!inputImage) || (inputImage['isDisposedInternal']) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return [];\n const t: Record = {};\n t.resized = tf.image.resizeBilinear(inputImage, [inputSize, inputSize]);\n t.div = tf.div(t.resized, constants.tf127);\n t.normalized = tf.sub(t.div, constants.tf05);\n const res = model?.execute(t.normalized) as Tensor[];\n if (Array.isArray(res) && res.length > 2) { // pinto converted model?\n const sorted = res.sort((a, b) => a.size - b.size);\n t.concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n t.concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n t.concat = tf.concat([t.concat512, t.concat384], 1);\n t.batch = tf.squeeze(t.concat, [0]);\n } else if (Array.isArray(res)) { // new facemesh-detection tfhub model\n t.batch = tf.squeeze(res[0]);\n } else { // original blazeface tfhub model\n t.batch = tf.squeeze(res);\n }\n tf.dispose(res);\n t.boxes = decodeBoxes(t.batch);\n t.logits = tf.slice(t.batch, [0, 0], [-1, 1]);\n t.sigmoid = tf.sigmoid(t.logits);\n t.scores = tf.squeeze(t.sigmoid);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));\n const nms = await t.nms.array() as number[];\n const boxes: DetectBox[] = [];\n const scores = await t.scores.data();\n for (let i = 0; i < nms.length; i++) {\n const confidence = scores[nms[i]];\n\n if (confidence > (config.face.detector?.minConfidence || 0)) {\n const b: Record = {};\n b.bbox = tf.slice(t.boxes, [nms[i], 0], [1, -1]);\n b.slice = tf.slice(t.batch, [nms[i], keypointsCount - 1], [1, -1]);\n b.squeeze = tf.squeeze(b.slice);\n b.landmarks = tf.reshape(b.squeeze, [keypointsCount, -1]);\n const points = await b.bbox.data();\n const rawBox = {\n startPoint: [points[0], points[1]] as Point,\n endPoint: [points[2], points[3]] as Point,\n landmarks: (await b.landmarks.array()) as Point[],\n confidence,\n };\n b.anchor = tf.slice(anchors as Tensor, [nms[i], 0], [1, 2]);\n const anchor = await b.anchor.data();\n const scaledBox = util.scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize, (inputImage.shape[1] || 0) / inputSize], anchor);\n const enlargedBox = util.enlargeBox(scaledBox, config.face['scale'] || faceBoxScaleFactor);\n const squaredBox = util.squarifyBox(enlargedBox);\n if (squaredBox.size[0] > (config.face.detector?.['minSize'] || 0) && squaredBox.size[1] > (config.face.detector?.['minSize'] || 0)) boxes.push(squaredBox);\n Object.keys(b).forEach((tensor) => tf.dispose(b[tensor]));\n }\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport * as coords from './facemeshcoords';\nimport * as util from './facemeshutil';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Config } from '../config';\nimport type { Point } from '../result';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\n\nconst irisEnlarge = 2.3;\n\nconst leftOutline = coords.meshAnnotations.leftEyeLower0;\nconst rightOutline = coords.meshAnnotations.rightEyeLower0;\n\nconst eyeLandmarks = {\n leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]],\n rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]],\n};\n\nconst irisLandmarks = {\n upperCenter: 3,\n lowerCenter: 4,\n index: 71,\n numCoordinates: 76,\n};\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.iris?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model?.['executor'] && model.inputs?.[0].shape) ? model.inputs[0].shape[2] : 0;\n if (inputSize === -1) inputSize = 64;\n return model;\n}\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates and update the z coordinate to be an average of the original and the new.\nexport function replaceIrisCoords(rawCoords, newCoords, prefix, keys) {\n for (let i = 0; i < coords.irisIndices.length; i++) {\n const { key, indices } = coords.irisIndices[i];\n const originalIndices = coords.meshAnnotations[`${prefix}${key}`];\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0],\n newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n\nexport const getLeftToRightEyeDepthDifference = (rawCoords) => {\n const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2];\n const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2];\n return leftEyeZ - rightEyeZ;\n};\n\n// Returns a box describing a cropped region around the eye fit for passing to the iris model.\nexport const getEyeBox = (rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => {\n const box = util.squarifyBox(util.enlargeBox(util.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge));\n const boxSize = util.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / meshSize,\n box.startPoint[0] / meshSize, box.endPoint[1] / meshSize,\n box.endPoint[0] / meshSize,\n ]], [0], [inputSize, inputSize]);\n if (flip && env.kernels.includes('flipleftright')) {\n const flipped = tf.image.flipLeftRight(crop); // flipLeftRight is not defined for tfjs-node\n tf.dispose(crop);\n crop = flipped;\n }\n return { box, boxSize, crop };\n};\n\n// Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\nexport const getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => {\n const eyeRawCoords: Point[] = [];\n for (let i = 0; i < irisLandmarks.numCoordinates; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / inputSize)) : (x / inputSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / inputSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) };\n};\n\n// The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\nexport const getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => {\n const upperCenterZ = rawCoords[coords.meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2];\n const lowerCenterZ = rawCoords[coords.meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n};\n\nexport async function augmentIris(rawCoords, face, meshSize) {\n if (!model?.['executor']) return rawCoords;\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true);\n const combined = tf.concat([leftEyeCrop, rightEyeCrop]);\n tf.dispose(leftEyeCrop);\n tf.dispose(rightEyeCrop);\n const eyePredictions = model.execute(combined) as Tensor;\n tf.dispose(combined);\n const eyePredictionsData = await eyePredictions.data();\n tf.dispose(eyePredictions);\n const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false);\n const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceIrisCoords(rawCoords, leftEyeRawCoords, 'left', null);\n replaceIrisCoords(rawCoords, rightEyeRawCoords, 'right', null);\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged so we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n replaceIrisCoords(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n replaceIrisCoords(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n return newCoords;\n}\n", "import * as constants from './constants';\nimport type { Tensor } from '../tfjs/types';\n\nexport async function augment(rawCoords, results: Tensor[]) {\n const t: Record = { // all attention models produce 2d results so it needs to be later augmented with correct z-coords\n // mesh: results[0], // already have it in rawCoords // output_mesh_identity\n // flag: results[1], // already processed in parent // conv_faceflag\n lips: await results.filter((r) => r.size === 160)?.[0]?.data() as Float32Array, // 80 x 2d = 160 // output_lips\n irisL: await results.filter((r) => r.size === 10)?.[0]?.data() as Float32Array, // 5 x 2d = 10 // output_right_iris\n eyeL: await results.filter((r) => r.size === 142)?.[0]?.data() as Float32Array, // 71 x 2d = 142 // output_right_eye\n irisR: await results.filter((r) => r.size === 10)?.[1]?.data() as Float32Array, // 5 x 2d = 10 // output_left_iris\n eyeR: await results.filter((r) => r.size === 142)?.[1]?.data() as Float32Array, // 71 x 2d = 142// output_left_eye\n };\n for (const val of Object.values(t)) {\n if (!val) return rawCoords; // could not find tensor\n }\n\n // augment iris: adds additional 5 keypoints per eye\n const irisLDepth = constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; // get average z-coord for iris\n for (let i = 0; i < t.irisL.length / 2; i++) rawCoords.push([t.irisL[2 * i + 0], t.irisL[2 * i + 1], irisLDepth]);\n const irisRDepth = constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; // get average z-coord for iris\n for (let i = 0; i < t.irisR.length / 2; i++) rawCoords.push([t.irisR[2 * i + 0], t.irisR[2 * i + 1], irisRDepth]);\n\n // augment eyes: replaces eye keypoints based on heuristic mapping\n for (let i = 0; i < t.eyeL.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t.eyeL[2 * i + 0], t.eyeL[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]];\n for (let i = 0; i < t.eyeR.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t.eyeR[2 * i + 0], t.eyeR[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]];\n\n // augment lips: replaces eye keypoints based on heuristic mapping\n for (let i = 0; i < t.lips.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t.lips[2 * i + 0], t.lips[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]];\n\n return rawCoords;\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n *\n * Based on:\n * - [**MediaPipe BlazeFace**](https://drive.google.com/file/d/1f39lSzU5Oq-j_OXgS67KfN5wNsoeAZ4V/view)\n * - Facial Spacial Geometry: [**MediaPipe FaceMesh**](https://drive.google.com/file/d/1VFC_wIpw4O7xBOiTgUldl79d9LA-LsnA/view)\n * - Eye Iris Details: [**MediaPipe Iris**](https://drive.google.com/file/d/1bsWbokp9AklH2ANjCfmjqEzzxO1CNbMu/view)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport * as blazeface from './blazeface';\nimport * as util from './facemeshutil';\nimport * as coords from './facemeshcoords';\nimport * as iris from './iris';\nimport * as attention from './attention';\nimport { histogramEqualization } from '../image/enhance';\nimport { env } from '../util/env';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { FaceResult, FaceLandmark, Point } from '../result';\nimport type { Config } from '../config';\nimport type { DetectBox } from './blazeface';\n\nconst cache = {\n boxes: [] as DetectBox[],\n skipped: Number.MAX_SAFE_INTEGER,\n timestamp: 0,\n};\n\nlet model: GraphModel | null = null;\nlet inputSize = 0;\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n // reset cached boxes\n const skipTime = (config.face.detector?.skipTime || 0) > (now() - cache.timestamp);\n const skipFrame = cache.skipped < (config.face.detector?.skipFrames || 0);\n if (!config.skipAllowed || !skipTime || !skipFrame || cache.boxes.length === 0) {\n cache.boxes = await blazeface.getBoxes(input, config); // get results from blazeface detector\n cache.timestamp = now();\n cache.skipped = 0;\n } else {\n cache.skipped++;\n }\n const faces: FaceResult[] = [];\n const newCache: DetectBox[] = [];\n let id = 0;\n const size = inputSize;\n for (let i = 0; i < cache.boxes.length; i++) {\n const box = cache.boxes[i];\n let angle = 0;\n let rotationMatrix;\n const face: FaceResult = { // init face result\n id: id++,\n mesh: [],\n meshRaw: [],\n box: [0, 0, 0, 0],\n boxRaw: [0, 0, 0, 0],\n score: 0,\n boxScore: 0,\n faceScore: 0,\n size: [0, 0],\n // contoursRaw: [],\n // contours: [],\n annotations: {} as Record,\n };\n\n // optional rotation correction based on detector data only if mesh is disabled otherwise perform it later when we have more accurate mesh data. if no rotation correction this function performs crop\n [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(config.face.detector?.rotation, box, input, config.face.mesh?.enabled ? inputSize : blazeface.size());\n if (config.filter.equalization) {\n const equilized = face.tensor ? await histogramEqualization(face.tensor) : undefined;\n tf.dispose(face.tensor);\n if (equilized) face.tensor = equilized;\n }\n face.boxScore = Math.round(100 * box.confidence) / 100;\n if (!config.face.mesh?.enabled || !model?.['executor']) { // mesh not enabled or not loaded, return resuts from detector only\n face.box = util.clampBox(box, input);\n face.boxRaw = util.getRawBox(box, input);\n face.score = face.boxScore;\n face.size = box.size;\n face.mesh = box.landmarks;\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.blazeFaceLandmarks)) face.annotations[key] = [face.mesh[coords.blazeFaceLandmarks[key] as number]]; // add annotations\n } else if (!model) { // mesh enabled, but not loaded\n if (config.debug) log('face mesh detection requested, but model is not loaded');\n } else { // mesh enabled\n if (config.face.attention?.enabled && !env.kernels.includes('atan2')) {\n config.face.attention.enabled = false;\n tf.dispose(face.tensor);\n return faces;\n }\n const results = model.execute(face.tensor as Tensor) as Tensor[];\n const confidenceT = results.find((t) => t.shape[t.shape.length - 1] === 1) as Tensor;\n const faceConfidence = await confidenceT.data();\n face.faceScore = Math.round(100 * faceConfidence[0]) / 100;\n if (face.faceScore < (config.face.detector?.minConfidence || 1)) { // low confidence in detected mesh\n box.confidence = face.faceScore; // reset confidence of cached box\n if (config.face.mesh['keepInvalid']) {\n face.box = util.clampBox(box, input);\n face.boxRaw = util.getRawBox(box, input);\n face.score = face.boxScore;\n face.mesh = box.landmarks;\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.blazeFaceLandmarks)) {\n face.annotations[key] = [face.mesh[coords.blazeFaceLandmarks[key] as number]]; // add annotations\n }\n }\n } else {\n const meshT = results.find((t) => t.shape[t.shape.length - 1] === 1404) as Tensor;\n const coordsReshaped = tf.reshape(meshT, [-1, 3]);\n let rawCoords = await coordsReshaped.array();\n tf.dispose(coordsReshaped);\n if (config.face.attention?.enabled) {\n rawCoords = await attention.augment(rawCoords, results); // augment iris results using attention model results\n } else if (config.face.iris?.enabled) {\n rawCoords = await iris.augmentIris(rawCoords, face.tensor, inputSize); // run iris model and augment results\n }\n face.mesh = util.transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize); // get processed mesh\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.meshAnnotations)) face.annotations[key] = coords.meshAnnotations[key].map((index) => face.mesh[index]); // add annotations\n face.score = face.faceScore;\n const calculatedBox = {\n ...util.calculateFaceBox(face.mesh, box),\n confidence: box.confidence,\n landmarks: box.landmarks,\n size: box.size,\n };\n face.box = util.clampBox(calculatedBox, input);\n face.boxRaw = util.getRawBox(calculatedBox, input);\n /*\n const contoursT = results.find((t) => t.shape[t.shape.length - 1] === 266) as Tensor;\n const contoursData = contoursT && await contoursT.data(); // 133 x 2d points\n face.contoursRaw = [];\n for (let j = 0; j < contoursData.length / 2; j++) face.contoursRaw.push([contoursData[2 * j + 0] / inputSize, contoursData[2 * j + 1] / inputSize]);\n face.contours = face.contoursRaw.map((c) => [Math.trunc((input.shape[2] || 1) * c[0]), Math.trunc((input.shape[1] || 1) * c[1])]);\n */\n newCache.push(calculatedBox);\n }\n tf.dispose(results);\n }\n if (face.score > (config.face.detector?.minConfidence || 1)) faces.push(face);\n else tf.dispose(face.tensor);\n }\n cache.boxes = newCache; // reset cache\n return faces;\n}\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (config.face.attention?.enabled && model?.['signature']) {\n if (Object.keys(model?.['signature']?.outputs || {}).length < 6) model = null;\n }\n if (!model) {\n if (config.face.attention?.enabled) model = await loadModel(config.face.attention.modelPath);\n else model = await loadModel(config.face.mesh?.modelPath);\n } else if (config.debug) {\n log('cached model:', model['modelUrl']);\n }\n inputSize = (model['executor'] && model?.inputs?.[0].shape) ? model?.inputs?.[0].shape[2] : 256;\n return model;\n}\n\nexport const triangulation = coords.TRI468;\nexport const uvmap = coords.UV468;\n", "/**\n * Emotion model implementation\n *\n * [**Oarriaga**](https://github.com/oarriaga/face_classification)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Emotion } from '../result';\nimport { log, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\nimport { constants } from '../tfjs/constants';\n\nlet annotations: string[] = [];\nlet model: GraphModel | null;\nconst last: { score: number, emotion: Emotion }[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet rgb = false;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n model = await loadModel(config.face.emotion?.modelPath);\n rgb = model?.inputs?.[0].shape?.[3] === 3;\n if (!rgb) annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral']; // oarriaga and gear\n else annotations = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']; // affectnet\n } else if (config.debug) {\n log('cached model:', model['modelUrl']);\n }\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise<{ score: number, emotion: Emotion }[]> {\n if (!model) return [];\n const skipFrame = skipped < (config.face.emotion?.skipFrames || 0);\n const skipTime = (config.face.emotion?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx] && (last[idx].length > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const obj: { score: number, emotion: Emotion }[] = [];\n if (config.face.emotion?.enabled) {\n const t: Record = {};\n const inputSize = model?.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n if (config.face.emotion?.['crop'] > 0) { // optional crop\n const crop = config.face.emotion?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [inputSize, inputSize]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n }\n if (rgb) {\n t.mul = tf.mul(t.resize, 255);\n t.normalize = tf.sub(t.mul, [103.939, 116.779, 123.68]); // affectnet uses specific norm values\n t.emotion = model?.execute(t.normalize) as Tensor; // result is already in range 0..1, no need for additional activation\n } else {\n // [t.red, t.green, t.blue] = tf.split(t.resize, 3, 3);\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n // t.redNorm = tf.mul(t.red, rgb[0]);\n // t.greenNorm = tf.mul(t.green, rgb[1]);\n // t.blueNorm = tf.mul(t.blue, rgb[2]);\n // t.grayscale = tf.addN([t.redNorm, t.greenNorm, t.blueNorm]);\n t.channels = tf.mul(t.resize, constants.rgb);\n t.grayscale = tf.sum(t.channels, 3, true);\n t.grayscaleSub = tf.sub(t.grayscale, constants.tf05);\n t.grayscaleMul = tf.mul(t.grayscaleSub, constants.tf2);\n t.emotion = model?.execute(t.grayscaleMul) as Tensor; // result is already in range 0..1, no need for additional activation\n }\n lastTime = now();\n const data = await t.emotion.data();\n for (let i = 0; i < data.length; i++) {\n if (data[i] > (config.face.emotion.minConfidence || 0)) obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] as Emotion });\n }\n obj.sort((a, b) => b.score - a.score);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = obj;\n lastCount = count;\n resolve(obj);\n });\n}\n", "/**\n * FaceRes model implementation\n *\n * Returns Age, Gender, Descriptor\n * Implements Face similarity function\n *\n * Based on: [**HSE-FaceRes**](https://github.com/HSE-asavchenko/HSE_FaceRec_tf)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, GraphModel, Tensor4D, Tensor1D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport type { Gender, Race } from '../result';\n\nexport interface FaceRes { age: number, gender: Gender, genderScore: number, descriptor: number[], race?: { score: number, race: Race }[] }\n\nlet model: GraphModel | null;\nconst last: FaceRes[] = [];\n\nlet lastTime = 0;\nlet lastCount = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.description?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport function enhance(input, config: Config): Tensor {\n const tensor = (input.image || input.tensor || input) as Tensor4D; // input received from detector is already normalized to 0..1, input is also assumed to be straightened\n if (!model?.inputs[0].shape) return tensor; // model has no shape so no point continuing\n let crop: Tensor;\n if (config.face.description?.['crop'] > 0) { // optional crop\n const cropval = config.face.description?.['crop'];\n const box = [[cropval, cropval, 1 - cropval, 1 - cropval]];\n crop = tf.image.cropAndResize(tensor, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n crop = tf.image.resizeBilinear(tensor, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n const norm: Tensor = tf.mul(crop, constants.tf255);\n tf.dispose(crop);\n return norm;\n /*\n // do a tight crop of image and resize it to fit the model\n const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n const crop = (tensor.shape.length === 3)\n ? tf.image.cropAndResize(tf.expandDims(tensor, 0), box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]) // add batch dimension if missing\n : tf.image.cropAndResize(tensor, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n */\n /*\n // convert to black&white to avoid colorization impact\n const rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const [red, green, blue] = tf.split(crop, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n const merge = tf.stack([grayscale, grayscale, grayscale], 3).squeeze(4);\n */\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n const obj: FaceRes = {\n age: 0 as number,\n gender: 'unknown' as Gender,\n genderScore: 0 as number,\n descriptor: [] as number[],\n };\n if (!model?.['executor']) return obj;\n const skipFrame = skipped < (config.face.description?.skipFrames || 0);\n const skipTime = (config.face.description?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && (last?.[idx]?.age > 0) && (last?.[idx]?.genderScore > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (config.face.description?.enabled) {\n const enhanced = enhance(image, config);\n const resT = model?.execute(enhanced) as Tensor[];\n lastTime = now();\n tf.dispose(enhanced);\n const genderT = resT.find((t) => t.shape[1] === 1) as Tensor;\n const gender = await genderT.data();\n const confidence = Math.trunc(200 * Math.abs((gender[0] - 0.5))) / 100;\n if (confidence > (config.face.description.minConfidence || 0)) {\n obj.gender = gender[0] <= 0.5 ? 'female' : 'male';\n obj.genderScore = Math.min(0.99, confidence);\n }\n const argmax = tf.argMax(resT.find((t) => t.shape[1] === 100) as Tensor1D, 1);\n const ageIdx: number = (await argmax.data())[0];\n tf.dispose(argmax);\n const ageT = resT.find((t) => t.shape[1] === 100) as Tensor;\n const all = await ageT.data();\n obj.age = Math.round(all[ageIdx - 1] > all[ageIdx + 1] ? 10 * ageIdx - 100 * all[ageIdx - 1] : 10 * ageIdx + 100 * all[ageIdx + 1]) / 10;\n\n if (Number.isNaN(gender[0]) || Number.isNaN(all[0])) log('faceres error:', { model, result: resT });\n\n const desc = resT.find((t) => t.shape[1] === 1024);\n // const reshape = desc.reshape([128, 8]); // reshape large 1024-element descriptor to 128 x 8\n // const reduce = reshape.logSumExp(1); // reduce 2nd dimension by calculating logSumExp on it which leaves us with 128-element descriptor\n const descriptor = desc ? await desc.data() : [] as number[];\n obj.descriptor = Array.from(descriptor);\n resT.forEach((t) => tf.dispose(t));\n }\n last[idx] = obj;\n lastCount = count;\n resolve(obj);\n });\n}\n", "import type { Tensor } from '../tfjs/types';\nimport type { FaceResult } from '../result';\n// import * as tf from 'dist/tfjs.esm.js';\nimport { meshAnnotations } from './facemeshcoords';\n\nconst expandFact = 0.1;\nconst alpha = 0.5;\n\n// point inclusion in polygon based on https://wrf.ecse.rpi.edu/Research/Short_Notes/pnpoly.html\nfunction insidePoly(x: number, y: number, polygon: { x: number, y: number }[]): boolean {\n let inside = false;\n let j = polygon.length - 1;\n for (let i = 0; i < polygon.length; j = i++) {\n if (((polygon[i].y > y) !== (polygon[j].y > y)) && (x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x)) inside = !inside;\n }\n return inside;\n}\n\nexport async function mask(face: FaceResult): Promise {\n if (!face.tensor) return face.tensor;\n if (!face.mesh || face.mesh.length < 100) return face.tensor;\n const width = face.tensor.shape[2] || 0;\n const height = face.tensor.shape[1] || 0;\n const buffer = await face.tensor.buffer();\n let silhouette: { x: number, y: number }[] = [];\n for (const pt of meshAnnotations.silhouette) silhouette.push({ x: (face.mesh[pt][0] - face.box[0]) / face.box[2], y: (face.mesh[pt][1] - face.box[1]) / face.box[3] }); // add all silhouette points scaled to local box\n if (expandFact && expandFact > 0) silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); // expand silhouette\n for (let x = 0; x < width; x++) {\n for (let y = 0; y < height; y++) {\n const inside = insidePoly(x / width, y / width, silhouette);\n if (!inside) {\n buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0);\n buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1);\n buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2);\n }\n }\n }\n const output = buffer.toTensor();\n // tf.dispose(buffer);\n return output;\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: number[] = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastCount = 0;\nlet lastTime = 0;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.antispoof?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model?.['executor']) return 0;\n const skipTime = (config.face.antispoof?.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.face.antispoof?.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && cached[idx]) {\n skipped++;\n return cached[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape ? model.inputs[0].shape[2] : 0, model?.inputs[0].shape ? model.inputs[0].shape[1] : 0], false);\n const res = model?.execute(resize) as Tensor;\n const num = (await res.data())[0];\n cached[idx] = Math.round(100 * num) / 100;\n lastCount = count;\n lastTime = now();\n tf.dispose([resize, res]);\n resolve(cached[idx]);\n });\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: number[] = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastCount = 0;\nlet lastTime = 0;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.liveness?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model?.['executor']) return 0;\n const skipTime = (config.face.liveness?.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.face.liveness?.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && cached[idx]) {\n skipped++;\n return cached[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape ? model.inputs[0].shape[2] : 0, model?.inputs[0].shape ? model.inputs[0].shape[1] : 0], false);\n const res = model?.execute(resize) as Tensor;\n const num = (await res.data())[0];\n cached[idx] = Math.round(100 * num) / 100;\n lastCount = count;\n lastTime = now();\n tf.dispose([resize, res]);\n resolve(cached[idx]);\n });\n}\n", "/**\n * GEAR [gender/emotion/age/race] model implementation\n *\n * Based on: [**GEAR Predictor**](https://github.com/Udolf15/GEAR-Predictor)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Gender, Race } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nexport interface GearType { age: number, gender: Gender, genderScore: number, race: { score: number, race: Race }[] }\nlet model: GraphModel | null;\nconst last: GearType[] = [];\nconst raceNames = ['white', 'black', 'asian', 'indian', 'other'];\nconst ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.gear?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model) return { age: 0, gender: 'unknown', genderScore: 0, race: [] };\n const skipFrame = skipped < (config.face.gear?.skipFrames || 0);\n const skipTime = (config.face.gear?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs[0].shape) return;\n const t: Record = {};\n // t.resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape[2], model?.inputs[0].shape[1]], false);\n let box = [[0.0, 0.10, 0.90, 0.90]]; // empyrical values for top, left, bottom, right\n if (config.face.gear?.['crop'] > 0) { // optional crop config value\n const crop = config.face.gear?.['crop'];\n box = [[crop, crop, 1 - crop, 1 - crop]];\n }\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n const obj: GearType = { age: 0, gender: 'unknown', genderScore: 0, race: [] };\n if (config.face.gear?.enabled) [t.age, t.gender, t.race] = model.execute(t.resize, ['age_output', 'gender_output', 'race_output']) as Tensor[];\n const gender = await t.gender.data();\n obj.gender = gender[0] > gender[1] ? 'male' : 'female';\n obj.genderScore = Math.round(100 * (gender[0] > gender[1] ? gender[0] : gender[1])) / 100;\n const race = await t.race.data();\n for (let i = 0; i < race.length; i++) {\n if (race[i] > (config.face.gear?.minConfidence || 0.2)) obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] as Race });\n }\n obj.race.sort((a, b) => b.score - a.score);\n // {0: 'Below20', 1: '21-25', 2: '26-30', 3: '31-40',4: '41-50', 5: '51-60', 6: 'Above60'}\n const ageDistribution = Array.from(await t.age.data());\n const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]);\n let age = ageSorted[0][0]; // pick best starting point\n for (let i = 1; i < ageSorted.length; i++) age += ageSorted[i][1] * (ageSorted[i][0] - age); // adjust with each other choice by weight\n obj.age = Math.round(10 * age) / 10;\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * Age model implementation\n *\n * Based on: [**SSR-Net**](https://github.com/shamangary/SSR-Net)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\nimport { constants } from '../tfjs/constants';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\n\nlet model: GraphModel | null;\nconst last: { age: number }[] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['ssrnet'].modelPathAge);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise<{ age: number }> {\n if (!model) return { age: 0 };\n const skipFrame = skipped < (config.face['ssrnet']?.skipFrames || 0);\n const skipTime = (config.face['ssrnet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && last[idx]?.age && (last[idx]?.age > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs || !model.inputs[0] || !model.inputs[0].shape) return;\n const t: Record = {};\n if (config.face['ssrnet']?.['crop'] > 0) { // optional crop\n const crop = config.face['ssrnet']?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n t.enhance = tf.mul(t.resize, constants.tf255);\n const obj = { age: 0 };\n if (config.face['ssrnet']?.enabled) t.age = model.execute(t.enhance) as Tensor;\n if (t.age) {\n const data = await t.age.data();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * Gender model implementation\n *\n * Based on: [**SSR-Net**](https://github.com/shamangary/SSR-Net)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Gender } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: { gender: Gender, genderScore: number }[] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['ssrnet']?.modelPathGender);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx, count): Promise<{ gender: Gender, genderScore: number }> {\n if (!model) return { gender: 'unknown', genderScore: 0 };\n const skipFrame = skipped < (config.face['ssrnet']?.skipFrames || 0);\n const skipTime = (config.face['ssrnet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && last[idx]?.gender && (last[idx]?.genderScore > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs[0].shape) return;\n const t: Record = {};\n if (config.face['ssrnet']?.['crop'] > 0) { // optional crop\n const crop = config.face['ssrnet']?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n t.enhance = tf.tidy(() => {\n let normalize: Tensor;\n if (model?.inputs?.[0].shape?.[3] === 1) {\n const [red, green, blue] = tf.split(t.resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n normalize = tf.mul(tf.sub(grayscale, constants.tf05), 2); // range grayscale:-1..1\n } else {\n normalize = tf.mul(tf.sub(t.resize, constants.tf05), 2); // range rgb:-1..1\n }\n return normalize;\n });\n const obj: { gender: Gender, genderScore: number } = { gender: 'unknown', genderScore: 0 };\n if (config.face['ssrnet']?.enabled) t.gender = model.execute(t.enhance) as Tensor;\n const data = await t.gender.data();\n obj.gender = data[0] > data[1] ? 'female' : 'male'; // returns two values 0..1, bigger one is prediction\n obj.genderScore = data[0] > data[1] ? (Math.trunc(100 * data[0]) / 100) : (Math.trunc(100 * data[1]) / 100);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * MobileFaceNet model implementation\n *\n * Based on: [**BecauseofAI MobileFace**](https://github.com/becauseofAI/MobileFace)\n *\n * Obsolete and replaced by `faceres` that performs age/gender/descriptor analysis\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Tensor, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: number[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['mobilefacenet']?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\n/*\n// convert to black&white to avoid colorization impact\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\nconst [red, green, blue] = tf.split(crop, 3, 3);\nconst redNorm = tf.mul(red, rgb[0]);\nconst greenNorm = tf.mul(green, rgb[1]);\nconst blueNorm = tf.mul(blue, rgb[2]);\nconst grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\nconst merge = tf.stack([grayscale, grayscale, grayscale], 3).squeeze(4);\n\n// optional increase image contrast\n// or do it per-channel so mean is done on each channel\n// or do it based on histogram\nconst mean = merge.mean();\nconst factor = 5;\nconst contrast = merge.sub(mean).mul(factor).add(mean);\n*/\n\nexport async function predict(input: Tensor4D, config: Config, idx, count): Promise {\n if (!model?.['executor']) return [];\n const skipFrame = skipped < (config.face['mobilefacenet']?.skipFrames || 0);\n const skipTime = (config.face['mobilefacenet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n return new Promise(async (resolve) => {\n let data: number[] = [];\n if (config.face['mobilefacenet']?.enabled && model?.inputs[0].shape) {\n const t: Record = {};\n t.crop = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false); // just resize to fit the embedding model\n // do a tight crop of image and resize it to fit the model\n // const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n // t.crop = tf.image.cropAndResize(input, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n t.data = model.execute(t.crop) as Tensor;\n /*\n // optional normalize outputs with l2 normalization\n const scaled = tf.tidy(() => {\n const l2 = res.norm('euclidean');\n const scale = res.div(l2);\n return scale;\n });\n\n // optional reduce feature vector complexity\n const reshape = tf.reshape(res, [128, 2]); // split 256 vectors into 128 x 2\n const reduce = reshape.logSumExp(1); // reduce 2nd dimension by calculating logSumExp on it\n */\n const output = await t.data.data();\n data = Array.from(output); // convert typed array to simple array\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = data;\n lastCount = count;\n lastTime = now();\n resolve(data);\n });\n}\n", "/**\n * InsightFace model implementation\n *\n * Based on: [**DeepInsight InsightFace**](https://github.com/deepinsight/insightface)\n *\n * Alternative face embedding detection\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Tensor, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: number[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['insightface'].modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config, idx, count): Promise {\n if (!model?.['executor']) return [];\n const skipFrame = skipped < (config.face['insightface']?.skipFrames || 0);\n const skipTime = (config.face['insightface']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n return new Promise(async (resolve) => {\n let data: number[] = [];\n if (config.face['insightface']?.enabled && model?.inputs[0].shape) {\n const t: Record = {};\n t.crop = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false); // just resize to fit the embedding model\n // do a tight crop of image and resize it to fit the model\n // const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n // t.crop = tf.image.cropAndResize(input, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n t.data = model.execute(t.crop) as Tensor;\n const output = await t.data.data();\n data = Array.from(output); // convert typed array to simple array\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = data;\n lastCount = count;\n lastTime = now();\n resolve(data);\n });\n}\n", "import type { Point, FaceResult } from '../result';\n\ntype Vector = [number, number, number];\n\nconst calculateGaze = (face: FaceResult): { bearing: number, strength: number } => {\n const radians = (pt1: Point, pt2: Point) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); // function to calculate angle between any two points\n if (!face.annotations.rightEyeIris || !face.annotations.leftEyeIris) return { bearing: 0, strength: 0 };\n\n const offsetIris = [0, -0.1]; // iris center may not align with average of eye extremes\n const eyeRatio = 1; // factor to normalize changes x vs y\n\n const left = (face.mesh[33][2] || 0) > (face.mesh[263][2] || 0); // pick left or right eye depending which one is closer bazed on outsize point z axis\n const irisCenter = left ? face.mesh[473] : face.mesh[468];\n const eyeCenter = left // eye center is average of extreme points on x axis for both x and y, ignoring y extreme points as eyelids naturally open/close more when gazing up/down so relative point is less precise\n ? [(face.mesh[133][0] + face.mesh[33][0]) / 2, (face.mesh[133][1] + face.mesh[33][1]) / 2]\n : [(face.mesh[263][0] + face.mesh[362][0]) / 2, (face.mesh[263][1] + face.mesh[362][1]) / 2];\n const eyeSize = left // eye size is difference between extreme points for both x and y, used to normalize & squarify eye dimensions\n ? [face.mesh[133][0] - face.mesh[33][0], face.mesh[23][1] - face.mesh[27][1]]\n : [face.mesh[263][0] - face.mesh[362][0], face.mesh[253][1] - face.mesh[257][1]];\n const eyeDiff: Point = [ // x distance between extreme point and center point normalized with eye size\n (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0],\n eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1],\n ];\n let strength = Math.sqrt((eyeDiff[0] * eyeDiff[0]) + (eyeDiff[1] * eyeDiff[1])); // vector length is a diagonal between two differences\n strength = Math.min(strength, face.boxRaw[2] / 2, face.boxRaw[3] / 2); // limit strength to half of box size to avoid clipping due to low precision\n const bearing = (radians([0, 0], eyeDiff) + (Math.PI / 2)) % Math.PI; // using eyeDiff instead eyeCenter/irisCenter combo due to manual adjustments and rotate clockwise 90degrees\n return { bearing, strength };\n};\n\nexport const calculateFaceAngle = (face: FaceResult, imageSize: [number, number]): {\n angle: { pitch: number, yaw: number, roll: number },\n matrix: [number, number, number, number, number, number, number, number, number],\n gaze: { bearing: number, strength: number },\n} => {\n // const degrees = (theta) => Math.abs(((theta * 180) / Math.PI) % 360);\n const normalize = (v: Vector): Vector => { // normalize vector\n const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]);\n v[0] /= length;\n v[1] /= length;\n v[2] /= length;\n return v;\n };\n const subVectors = (a: Vector, b: Vector): Vector => { // vector subtraction (a - b)\n const x = a[0] - b[0];\n const y = a[1] - b[1];\n const z = a[2] - b[2];\n return [x, y, z];\n };\n const crossVectors = (a: Vector, b: Vector): Vector => { // vector cross product (a x b)\n const x = a[1] * b[2] - a[2] * b[1];\n const y = a[2] * b[0] - a[0] * b[2];\n const z = a[0] * b[1] - a[1] * b[0];\n return [x, y, z];\n };\n // 3x3 rotation matrix to Euler angles based on https://www.geometrictools.com/Documentation/EulerAngles.pdf\n const rotationMatrixToEulerAngle = (r: number[]): { pitch: number, yaw: number, roll: number } => {\n const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; // eslint-disable-line @typescript-eslint/no-unused-vars\n let thetaX: number;\n let thetaY: number;\n let thetaZ: number;\n if (r10 < 1) { // YZX calculation\n if (r10 > -1) {\n thetaZ = Math.asin(r10);\n thetaY = Math.atan2(-r20, r00);\n thetaX = Math.atan2(-r12, r11);\n } else {\n thetaZ = -Math.PI / 2;\n thetaY = -Math.atan2(r21, r22);\n thetaX = 0;\n }\n } else {\n thetaZ = Math.PI / 2;\n thetaY = Math.atan2(r21, r22);\n thetaX = 0;\n }\n if (Number.isNaN(thetaX)) thetaX = 0;\n if (Number.isNaN(thetaY)) thetaY = 0;\n if (Number.isNaN(thetaZ)) thetaZ = 0;\n return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };\n };\n\n /*\n const meshToEulerAngle = (mesh) => { // simple Euler angle calculation based existing 3D mesh\n const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);\n return { // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees, value of 0 means center\n pitch: radians(mesh[10][1], mesh[10][2], mesh[152][1], mesh[152][2]), // looking at y,z of top and bottom points of the face // pitch is face move up/down\n yaw: radians(mesh[33][0], mesh[33][2], mesh[263][0], mesh[263][2]), // looking at x,z of outside corners of leftEye and rightEye // yaw is face turn left/right\n roll: radians(mesh[33][0], mesh[33][1], mesh[263][0], mesh[263][1]), // looking at x,y of outside corners of leftEye and rightEye // roll is face lean left/right\n };\n };\n */\n\n // initialize gaze and mesh\n const mesh = face.meshRaw;\n if (!mesh || mesh.length < 300) return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } };\n\n const size = Math.max(face.boxRaw[2] * imageSize[0], face.boxRaw[3] * imageSize[1]) / 1.5;\n // top, bottom, left, right\n const pts: Point[] = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size, pt[1] * imageSize[1] / size, pt[2]] as Point); // make the xyz coordinates proportional, independent of the image/box size\n\n const yAxis = normalize(subVectors(pts[1] as Vector, pts[0] as Vector));\n let xAxis = normalize(subVectors(pts[3] as Vector, pts[2] as Vector));\n const zAxis = normalize(crossVectors(xAxis, yAxis));\n // adjust xAxis to make sure that all axes are perpendicular to each other\n xAxis = crossVectors(yAxis, zAxis);\n\n // Rotation Matrix from Axis Vectors - http://renderdan.blogspot.com/2006/05/rotation-matrix-from-axis-vectors.html\n // 3x3 rotation matrix is flatten to array in row-major order. Note that the rotation represented by this matrix is inverted.\n const matrix: [number, number, number, number, number, number, number, number, number] = [\n xAxis[0], xAxis[1], xAxis[2],\n yAxis[0], yAxis[1], yAxis[2],\n zAxis[0], zAxis[1], zAxis[2],\n ];\n const angle = rotationMatrixToEulerAngle(matrix);\n // const angle = meshToEulerAngle(mesh);\n\n // we have iris keypoints so we can calculate gaze direction\n const gaze = mesh.length === 478 ? calculateGaze(face) : { bearing: 0, strength: 0 };\n\n return { angle, matrix, gaze };\n};\n", "import type { FaceResult } from '../result';\n\nexport function calculateCameraDistance(face: FaceResult, width: number): number {\n // iris points are [center, left, top, right, bottom]\n // average size of human iris is 11.7mm - fairly constant for all ages/genders/races\n const f = face?.annotations;\n if (!f?.leftEyeIris || !f?.rightEyeIris) return 0;\n // get size of left and right iris in pixels, pick larger one as its likely to be more accurate and normalize to 0..1 range instead of pixels\n const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width;\n // distance of eye from camera in meters\n const cameraDistance = Math.round(1.17 / irisSize) / 100;\n return cameraDistance;\n}\n\nexport function calculateEyesDistance(face: FaceResult, width: number): number {\n // average distance between eyes is 65mm - fairly constant for typical adult male, but varies otherwise\n const f = face?.annotations;\n if (!f?.leftEyeIris || !f?.rightEyeIris) return 0;\n // get size of left and right iris in pixels, pick larger one as its likely to be more accurate and normalize to 0..1 range instead of pixels\n const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width;\n // pixel x and y distance of centers of left and right iris, you can use edges instead\n const irisDistanceXY = [f.leftEyeIris[0][0] - f.rightEyeIris[0][0], f.leftEyeIris[0][1] - f.rightEyeIris[0][1]];\n // absolute distance bewtween eyes in 0..1 range to account for head pitch (we can ignore yaw)\n const irisDistance = Math.sqrt((irisDistanceXY[0] * irisDistanceXY[0]) + (irisDistanceXY[1] * irisDistanceXY[1])) / width;\n // distance between eyes in meters\n const eyesDistance = Math.round(1.17 * irisDistance / irisSize) / 100;\n return eyesDistance;\n}\n", "/**\n * Face algorithm implementation\n * Uses FaceMesh, Emotion and FaceRes models to create a unified pipeline\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as facemesh from './facemesh';\nimport * as emotion from '../gear/emotion';\nimport * as faceres from './faceres';\nimport * as mask from './mask';\nimport * as antispoof from './antispoof';\nimport * as liveness from './liveness';\nimport * as gear from '../gear/gear';\nimport * as ssrnetAge from '../gear/ssrnet-age';\nimport * as ssrnetGender from '../gear/ssrnet-gender';\nimport * as mobilefacenet from './mobilefacenet';\nimport * as insightface from './insightface';\nimport type { FaceResult, Emotion, Gender, Race } from '../result';\nimport type { Tensor4D } from '../tfjs/types';\nimport type { Human } from '../human';\nimport { calculateFaceAngle } from './angles';\nimport { calculateCameraDistance } from './anthropometry';\n\ninterface DescRes { age: number, gender: Gender, genderScore: number, descriptor: number[], race?: { score: number, race: Race }[] }\n\nexport const detectFace = async (instance: Human /* instance of human */, input: Tensor4D): Promise => {\n // run facemesh, includes blazeface and iris\n let timeStamp: number = now();\n let ageRes: { age: number } | Promise<{ age: number }> | null;\n let gearRes: gear.GearType | Promise | null;\n let genderRes: { gender: string, genderScore: number } | Promise<{ gender: string, genderScore: number }> | null;\n let emotionRes: { score: number, emotion: Emotion }[] | Promise<{ score: number, emotion: Emotion }[]>;\n let mobilefacenetRes: number[] | Promise | null;\n let insightfaceRes: number[] | Promise | null;\n let antispoofRes: number | Promise | null;\n let livenessRes: number | Promise | null;\n let descRes: DescRes | Promise | null;\n\n const faceRes: FaceResult[] = [];\n instance.state = 'run:face';\n const faces: FaceResult[] = await facemesh.predict(input, instance.config);\n instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n if (!input.shape || input.shape.length !== 4) return [];\n if (!faces) return [];\n // for (const face of faces) {\n for (let i = 0; i < faces.length; i++) {\n instance.analyze('Get Face');\n\n // is something went wrong, skip the face\n // @ts-ignore possibly undefied\n if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) {\n log('Face object is disposed:', faces[i].tensor);\n continue;\n }\n\n // optional face mask\n if (instance.config.face.detector?.mask) {\n const masked = await mask.mask(faces[i]);\n tf.dispose(faces[i].tensor);\n if (masked) faces[i].tensor = masked;\n }\n\n // calculate face angles\n const rotation = faces[i].mesh && (faces[i].mesh.length > 200) ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null;\n\n // run emotion, inherits face from blazeface\n instance.analyze('Start Emotion:');\n if (instance.config.async) {\n emotionRes = instance.config.face.emotion?.enabled ? emotion.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : [];\n } else {\n instance.state = 'run:emotion';\n timeStamp = now();\n emotionRes = instance.config.face.emotion?.enabled ? await emotion.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : [];\n instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Emotion:');\n\n // run antispoof, inherits face from blazeface\n instance.analyze('Start AntiSpoof:');\n if (instance.config.async) {\n antispoofRes = instance.config.face.antispoof?.enabled ? antispoof.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n } else {\n instance.state = 'run:antispoof';\n timeStamp = now();\n antispoofRes = instance.config.face.antispoof?.enabled ? await antispoof.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End AntiSpoof:');\n\n // run liveness, inherits face from blazeface\n instance.analyze('Start Liveness:');\n if (instance.config.async) {\n livenessRes = instance.config.face.liveness?.enabled ? liveness.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n } else {\n instance.state = 'run:liveness';\n timeStamp = now();\n livenessRes = instance.config.face.liveness?.enabled ? await liveness.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Liveness:');\n\n // run gear, inherits face from blazeface\n instance.analyze('Start GEAR:');\n if (instance.config.async) {\n gearRes = instance.config.face.gear?.enabled ? gear.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:gear';\n timeStamp = now();\n gearRes = instance.config.face.gear?.enabled ? await gear.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.gear = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End GEAR:');\n\n // run gear, inherits face from blazeface\n instance.analyze('Start SSRNet:');\n if (instance.config.async) {\n ageRes = instance.config.face['ssrnet']?.enabled ? ssrnetAge.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n genderRes = instance.config.face['ssrnet']?.enabled ? ssrnetGender.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:ssrnet';\n timeStamp = now();\n ageRes = instance.config.face['ssrnet']?.enabled ? await ssrnetAge.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n genderRes = instance.config.face['ssrnet']?.enabled ? await ssrnetGender.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.ssrnet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End SSRNet:');\n\n // run mobilefacenet alternative, inherits face from blazeface\n instance.analyze('Start MobileFaceNet:');\n if (instance.config.async) {\n mobilefacenetRes = instance.config.face['mobilefacenet']?.enabled ? mobilefacenet.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:mobilefacenet';\n timeStamp = now();\n mobilefacenetRes = instance.config.face['mobilefacenet']?.enabled ? await mobilefacenet.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.mobilefacenet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End MobileFaceNet:');\n\n // run insightface alternative, inherits face from blazeface\n instance.analyze('Start InsightFace:');\n if (instance.config.async) {\n insightfaceRes = instance.config.face['insightface']?.enabled ? insightface.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:mobilefacenet';\n timeStamp = now();\n insightfaceRes = instance.config.face['insightface']?.enabled ? await insightface.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.mobilefacenet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End InsightFace:');\n\n // run faceres, inherits face from blazeface\n instance.analyze('Start Description:');\n if (instance.config.async) {\n descRes = faceres.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length);\n } else {\n instance.state = 'run:description';\n timeStamp = now();\n descRes = await faceres.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length);\n instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Description:');\n\n // if async wait for results\n if (instance.config.async) {\n [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]);\n }\n instance.analyze('Finish Face:');\n\n if (instance.config.face['ssrnet']?.enabled && ageRes && genderRes) { // override age/gender if ssrnet model is used\n descRes = {\n ...(descRes as DescRes),\n age: (ageRes as { age: number}).age,\n gender: (genderRes as { gender: Gender, genderScore: number }).gender,\n genderScore: (genderRes as { gender: Gender, genderScore: number }).genderScore,\n };\n }\n if (instance.config.face.gear?.enabled && gearRes) { // override age/gender/race if gear model is used\n descRes = {\n ...(descRes as DescRes),\n age: (gearRes as gear.GearType).age,\n gender: (gearRes as gear.GearType).gender,\n genderScore: (gearRes as gear.GearType).genderScore,\n race: (gearRes as gear.GearType).race,\n };\n }\n if (instance.config.face['mobilefacenet']?.enabled && mobilefacenetRes) { // override descriptor if mobilefacenet model is used\n (descRes as DescRes).descriptor = mobilefacenetRes as number[];\n }\n\n if (instance.config.face['insightface']?.enabled && insightfaceRes) { // override descriptor if insightface model is used\n (descRes as DescRes).descriptor = insightfaceRes as number[];\n }\n\n const irisSize = instance.config.face.iris?.enabled ? calculateCameraDistance(faces[i], input.shape[2]) : 0;\n\n // optionally return tensor\n const tensor = instance.config.face.detector?.return ? tf.squeeze(faces[i].tensor as Tensor4D) : null;\n // dispose original face tensor\n tf.dispose(faces[i].tensor);\n // delete temp face image\n if (faces[i].tensor) delete faces[i].tensor;\n // combine results\n const res: FaceResult = {\n ...faces[i],\n id: i,\n };\n if ((descRes as DescRes).age) res.age = (descRes as DescRes).age;\n if ((descRes as DescRes).gender) res.gender = (descRes as DescRes).gender;\n if ((descRes as DescRes).genderScore) res.genderScore = (descRes as DescRes).genderScore;\n if ((descRes as DescRes).descriptor) res.embedding = (descRes as DescRes).descriptor;\n if ((descRes as DescRes).race) res.race = (descRes as DescRes).race as { score: number, race: Race }[];\n if (emotionRes) res.emotion = emotionRes as { score: number, emotion: Emotion }[];\n if (antispoofRes) res.real = antispoofRes as number;\n if (livenessRes) res.live = livenessRes as number;\n if (irisSize > 0) res.distance = irisSize;\n if (rotation) res.rotation = rotation;\n if (tensor) res.tensor = tensor;\n faceRes.push(res);\n instance.analyze('End Face');\n }\n instance.analyze('End FaceMesh:');\n if (instance.config.async) {\n if (instance.performance.face) delete instance.performance.face;\n if (instance.performance.age) delete instance.performance.age;\n if (instance.performance.gender) delete instance.performance.gender;\n if (instance.performance.emotion) delete instance.performance.emotion;\n }\n return faceRes;\n};\n", "/**\n * FingerPose algorithm implementation\n * See `fingerpose.ts` for entry point\n */\n\nexport const Finger = {\n thumb: 0,\n index: 1,\n middle: 2,\n ring: 3,\n pinky: 4,\n all: [0, 1, 2, 3, 4], // just for convenience\n nameMapping: { 0: 'thumb', 1: 'index', 2: 'middle', 3: 'ring', 4: 'pinky' },\n // Describes mapping of joints based on the 21 points returned by handpose.\n // [0] Palm\n // [1-4] Thumb\n // [5-8] Index\n // [9-12] Middle\n // [13-16] Ring\n // [17-20] Pinky\n pointsMapping: {\n 0: [[0, 1], [1, 2], [2, 3], [3, 4]],\n 1: [[0, 5], [5, 6], [6, 7], [7, 8]],\n 2: [[0, 9], [9, 10], [10, 11], [11, 12]],\n 3: [[0, 13], [13, 14], [14, 15], [15, 16]],\n 4: [[0, 17], [17, 18], [18, 19], [19, 20]],\n },\n getName: (value) => Finger.nameMapping[value],\n getPoints: (value) => Finger.pointsMapping[value],\n};\n\nexport const FingerCurl = {\n none: 0,\n half: 1,\n full: 2,\n nameMapping: { 0: 'none', 1: 'half', 2: 'full' },\n getName: (value) => FingerCurl.nameMapping[value],\n};\n\nexport const FingerDirection = {\n verticalUp: 0,\n verticalDown: 1,\n horizontalLeft: 2,\n horizontalRight: 3,\n diagonalUpRight: 4,\n diagonalUpLeft: 5,\n diagonalDownRight: 6,\n diagonalDownLeft: 7,\n nameMapping: { 0: 'verticalUp', 1: 'verticalDown', 2: 'horizontalLeft', 3: 'horizontalRight', 4: 'diagonalUpRight', 5: 'diagonalUpLeft', 6: 'diagonalDownRight', 7: 'diagonalDownLeft' },\n getName: (value) => FingerDirection.nameMapping[value],\n};\n\nexport class FingerGesture {\n name;\n curls;\n directions;\n weights;\n weightsRelative;\n\n constructor(name) {\n // name (should be unique)\n this.name = name;\n this.curls = {};\n this.directions = {};\n this.weights = [1.0, 1.0, 1.0, 1.0, 1.0];\n this.weightsRelative = [1.0, 1.0, 1.0, 1.0, 1.0];\n }\n\n curl(finger, curl, confidence) {\n if (typeof this.curls[finger] === 'undefined') this.curls[finger] = [];\n this.curls[finger].push([curl, confidence]);\n }\n\n direction(finger, position, confidence) {\n if (!this.directions[finger]) this.directions[finger] = [];\n this.directions[finger].push([position, confidence]);\n }\n\n weight(finger, weight) {\n this.weights[finger] = weight;\n // recalculate relative weights\n const total = this.weights.reduce((a, b) => a + b, 0);\n this.weightsRelative = this.weights.map((el) => el * 5 / total);\n }\n\n matchAgainst(detectedCurls, detectedDirections) {\n let confidence = 0.0;\n // look at the detected curl of each finger and compare with\n // the expected curl of this finger inside current gesture\n for (const fingerIdx in detectedCurls) {\n const detectedCurl = detectedCurls[fingerIdx];\n const expectedCurls = this.curls[fingerIdx];\n if (typeof expectedCurls === 'undefined') {\n // no curl description available for this finger\n // add default confidence of \"1\"\n confidence += this.weightsRelative[fingerIdx];\n continue;\n }\n // compare to each possible curl of this specific finger\n for (const [expectedCurl, score] of expectedCurls) {\n if (detectedCurl === expectedCurl) {\n confidence += score * this.weightsRelative[fingerIdx];\n break;\n }\n }\n }\n // same for detected direction of each finger\n for (const fingerIdx in detectedDirections) {\n const detectedDirection = detectedDirections[fingerIdx];\n const expectedDirections = this.directions[fingerIdx];\n if (typeof expectedDirections === 'undefined') {\n // no direction description available for this finger\n // add default confidence of \"1\"\n confidence += this.weightsRelative[fingerIdx];\n continue;\n }\n // compare to each possible direction of this specific finger\n for (const [expectedDirection, score] of expectedDirections) {\n if (detectedDirection === expectedDirection) {\n confidence += score * this.weightsRelative[fingerIdx];\n break;\n }\n }\n }\n return confidence / 10;\n }\n}\n", "/**\n * FingerPose algorithm implementation\n * See `fingerpose.ts` for entry point\n */\n\nimport { Finger, FingerCurl, FingerDirection, FingerGesture } from './fingerdef';\n\nexport const { thumb, index, middle, ring, pinky } = Finger;\nexport const { none, half, full } = FingerCurl;\nexport const { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection;\n\n// describe thumbs up gesture \uD83D\uDC4D\nconst ThumbsUp = new FingerGesture('thumbs up');\nThumbsUp.curl(thumb, none, 1.0);\nThumbsUp.direction(thumb, verticalUp, 1.0);\nThumbsUp.direction(thumb, diagonalUpLeft, 0.25);\nThumbsUp.direction(thumb, diagonalUpRight, 0.25);\nfor (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) {\n ThumbsUp.curl(finger, full, 1.0);\n ThumbsUp.direction(finger, horizontalLeft, 1.0);\n ThumbsUp.direction(finger, horizontalRight, 1.0);\n}\n\n// describe Victory gesture \u270C\uFE0F\nconst Victory = new FingerGesture('victory');\nVictory.curl(thumb, half, 0.5);\nVictory.curl(thumb, none, 0.5);\nVictory.direction(thumb, verticalUp, 1.0);\nVictory.direction(thumb, diagonalUpLeft, 1.0);\nVictory.curl(index, none, 1.0);\nVictory.direction(index, verticalUp, 0.75);\nVictory.direction(index, diagonalUpLeft, 1.0);\nVictory.curl(middle, none, 1.0);\nVictory.direction(middle, verticalUp, 1.0);\nVictory.direction(middle, diagonalUpLeft, 0.75);\nVictory.curl(ring, full, 1.0);\nVictory.direction(ring, verticalUp, 0.2);\nVictory.direction(ring, diagonalUpLeft, 1.0);\nVictory.direction(ring, horizontalLeft, 0.2);\nVictory.curl(pinky, full, 1.0);\nVictory.direction(pinky, verticalUp, 0.2);\nVictory.direction(pinky, diagonalUpLeft, 1.0);\nVictory.direction(pinky, horizontalLeft, 0.2);\nVictory.weight(index, 2);\nVictory.weight(middle, 2);\n\n// describe Point gesture \u270C\uFE0F\nconst Point = new FingerGesture('point');\nPoint.curl(thumb, full, 1.0);\nPoint.curl(index, none, 0.5);\nPoint.curl(middle, full, 0.5);\nPoint.curl(ring, full, 0.5);\nPoint.curl(pinky, full, 0.5);\nPoint.weight(index, 2);\nPoint.weight(middle, 2);\n\n// describe Point gesture \u270C\uFE0F\nconst MiddleFinger = new FingerGesture('middle finger');\nMiddleFinger.curl(thumb, none, 1.0);\nMiddleFinger.curl(index, full, 0.5);\nMiddleFinger.curl(middle, full, 0.5);\nMiddleFinger.curl(ring, full, 0.5);\nMiddleFinger.curl(pinky, full, 0.5);\nMiddleFinger.weight(index, 2);\nMiddleFinger.weight(middle, 2);\n\n// describe Open Palm gesture \u270C\uFE0F\nconst OpenPalm = new FingerGesture('open palm');\nOpenPalm.curl(thumb, none, 0.75);\nOpenPalm.curl(index, none, 0.75);\nOpenPalm.curl(middle, none, 0.75);\nOpenPalm.curl(ring, none, 0.75);\nOpenPalm.curl(pinky, none, 0.75);\n\nexport default [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm];\n", "/**\n * FingerPose algorithm implementation constants\n *\n * Based on: [**FingerPose***](https://github.com/andypotato/fingerpose)\n */\n\n/* eslint-disable camelcase */\n\nimport { Finger, FingerCurl, FingerDirection } from './fingerdef';\nimport Gestures from '../hand/fingergesture';\n\nconst minConfidence = 0.7;\nconst options = {\n // curl estimation\n HALF_CURL_START_LIMIT: 60.0,\n NO_CURL_START_LIMIT: 130.0,\n // direction estimation\n DISTANCE_VOTE_POWER: 1.1,\n SINGLE_ANGLE_VOTE_POWER: 0.9,\n TOTAL_ANGLE_VOTE_POWER: 1.6,\n};\n\nfunction calculateSlope(point1x, point1y, point2x, point2y) {\n const value = (point1y - point2y) / (point1x - point2x);\n let slope = Math.atan(value) * 180 / Math.PI;\n if (slope <= 0) slope = -slope;\n else if (slope > 0) slope = 180 - slope;\n return slope;\n}\n\n// point1, point2 are 2d or 3d point arrays (xy[z])\n// returns either a single scalar (2d) or array of two slopes (3d)\nfunction getSlopes(point1, point2) {\n if (!point1 || !point2) return [0, 0];\n const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]);\n if (point1.length === 2) return slopeXY;\n const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]);\n return [slopeXY, slopeYZ];\n}\n\nfunction angleOrientationAt(angle, weightageAt = 1.0) {\n let isVertical = 0;\n let isDiagonal = 0;\n let isHorizontal = 0;\n if (angle >= 75.0 && angle <= 105.0) isVertical = 1 * weightageAt;\n else if (angle >= 25.0 && angle <= 155.0) isDiagonal = 1 * weightageAt;\n else isHorizontal = 1 * weightageAt;\n return [isVertical, isDiagonal, isHorizontal];\n}\n\nfunction estimateFingerCurl(startPoint, midPoint, endPoint) {\n const start_mid_x_dist = startPoint[0] - midPoint[0];\n const start_end_x_dist = startPoint[0] - endPoint[0];\n const mid_end_x_dist = midPoint[0] - endPoint[0];\n const start_mid_y_dist = startPoint[1] - midPoint[1];\n const start_end_y_dist = startPoint[1] - endPoint[1];\n const mid_end_y_dist = midPoint[1] - endPoint[1];\n const start_mid_z_dist = startPoint[2] - midPoint[2];\n const start_end_z_dist = startPoint[2] - endPoint[2];\n const mid_end_z_dist = midPoint[2] - endPoint[2];\n const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist);\n const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist);\n const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist);\n let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist);\n if (cos_in > 1.0) cos_in = 1.0;\n else if (cos_in < -1.0) cos_in = -1.0;\n let angleOfCurve = Math.acos(cos_in);\n angleOfCurve = (57.2958 * angleOfCurve) % 180;\n let fingerCurl;\n if (angleOfCurve > options.NO_CURL_START_LIMIT) fingerCurl = FingerCurl.none;\n else if (angleOfCurve > options.HALF_CURL_START_LIMIT) fingerCurl = FingerCurl.half;\n else fingerCurl = FingerCurl.full;\n return fingerCurl;\n}\n\nfunction estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) {\n let estimatedDirection;\n if (max_dist_x === Math.abs(start_end_x_dist)) {\n if (start_end_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n } else if (max_dist_x === Math.abs(start_mid_x_dist)) {\n if (start_mid_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n } else {\n if (mid_end_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n }\n return estimatedDirection;\n}\n\nfunction estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) {\n let estimatedDirection;\n if (max_dist_y === Math.abs(start_end_y_dist)) {\n if (start_end_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n } else if (max_dist_y === Math.abs(start_mid_y_dist)) {\n if (start_mid_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n } else {\n if (mid_end_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n }\n return estimatedDirection;\n}\n\nfunction estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) {\n let estimatedDirection;\n const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y);\n const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n if (reqd_vertical_direction === FingerDirection.verticalUp) {\n if (reqd_horizontal_direction === FingerDirection.horizontalLeft) estimatedDirection = FingerDirection.diagonalUpLeft;\n else estimatedDirection = FingerDirection.diagonalUpRight;\n } else {\n if (reqd_horizontal_direction === FingerDirection.horizontalLeft) estimatedDirection = FingerDirection.diagonalDownLeft;\n else estimatedDirection = FingerDirection.diagonalDownRight;\n }\n return estimatedDirection;\n}\n\nfunction calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) {\n const start_mid_x_dist = startPoint[0] - midPoint[0];\n const start_end_x_dist = startPoint[0] - endPoint[0];\n const mid_end_x_dist = midPoint[0] - endPoint[0];\n const start_mid_y_dist = startPoint[1] - midPoint[1];\n const start_end_y_dist = startPoint[1] - endPoint[1];\n const mid_end_y_dist = midPoint[1] - endPoint[1];\n const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist));\n const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist));\n let voteVertical = 0.0;\n let voteDiagonal = 0.0;\n let voteHorizontal = 0.0;\n const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 0.00001);\n if (start_end_x_y_dist_ratio > 1.5) voteVertical += options.DISTANCE_VOTE_POWER;\n else if (start_end_x_y_dist_ratio > 0.66) voteDiagonal += options.DISTANCE_VOTE_POWER;\n else voteHorizontal += options.DISTANCE_VOTE_POWER;\n const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist);\n const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist);\n const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist);\n const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist);\n let calc_start_point_x = startPoint[0];\n let calc_start_point_y = startPoint[1];\n let calc_end_point_x = endPoint[0];\n let calc_end_point_y = endPoint[1];\n if (max_dist === start_mid_dist) {\n calc_end_point_x = endPoint[0];\n calc_end_point_y = endPoint[1];\n } else if (max_dist === mid_end_dist) {\n calc_start_point_x = midPoint[0];\n calc_start_point_y = midPoint[1];\n }\n const calcStartPoint = [calc_start_point_x, calc_start_point_y];\n const calcEndPoint = [calc_end_point_x, calc_end_point_y];\n const totalAngle = getSlopes(calcStartPoint, calcEndPoint);\n const votes = angleOrientationAt(totalAngle, options.TOTAL_ANGLE_VOTE_POWER);\n voteVertical += votes[0];\n voteDiagonal += votes[1];\n voteHorizontal += votes[2];\n for (const fingerSlope of fingerSlopes) {\n const fingerVotes = angleOrientationAt(fingerSlope, options.SINGLE_ANGLE_VOTE_POWER);\n voteVertical += fingerVotes[0];\n voteDiagonal += fingerVotes[1];\n voteHorizontal += fingerVotes[2];\n }\n // in case of tie, highest preference goes to Vertical,\n // followed by horizontal and then diagonal\n let estimatedDirection;\n if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) {\n estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y);\n } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) {\n estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n } else {\n estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n }\n return estimatedDirection;\n}\n\nfunction estimate(landmarks) {\n // step 1: calculate slopes\n const slopesXY: number[][] = [];\n const slopesYZ: number[][] = [];\n const fingerCurls: number[] = [];\n const fingerDirections: number[] = [];\n if (!landmarks) return { curls: fingerCurls, directions: fingerDirections };\n\n // step 1: calculate slopes\n for (const finger of Finger.all) {\n const points = Finger.getPoints(finger);\n const slopeAtXY: number[] = [];\n const slopeAtYZ: number[] = [];\n for (const point of points) {\n const point1 = landmarks[point[0]];\n const point2 = landmarks[point[1]];\n // calculate single slope\n const slopes = getSlopes(point1, point2);\n const slopeXY = slopes[0];\n const slopeYZ = slopes[1];\n slopeAtXY.push(slopeXY);\n slopeAtYZ.push(slopeYZ);\n }\n slopesXY.push(slopeAtXY);\n slopesYZ.push(slopeAtYZ);\n }\n\n // step 2: calculate orientations\n for (const finger of Finger.all) {\n // start finger predictions from palm - except for thumb\n const pointIndexAt = (finger === Finger.thumb) ? 1 : 0;\n const fingerPointsAt = Finger.getPoints(finger);\n const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]];\n const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]];\n const endPoint = landmarks[fingerPointsAt[3][1]];\n // check if finger is curled\n const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint);\n const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt));\n fingerCurls[finger] = fingerCurled;\n fingerDirections[finger] = fingerPosition;\n }\n return { curls: fingerCurls, directions: fingerDirections };\n}\n\nexport function analyze(keypoints) { // get estimations of curl / direction for each finger\n if (!keypoints || keypoints.length === 0) return null;\n const estimatorRes = estimate(keypoints);\n const landmarks = {};\n for (const fingerIdx of Finger.all) {\n landmarks[Finger.getName(fingerIdx)] = {\n curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]),\n direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]),\n };\n }\n return landmarks;\n}\n\nexport function match(keypoints) { // compare gesture description to each known gesture\n const poses: { name: string, confidence: number }[] = [];\n if (!keypoints || keypoints.length === 0) return poses;\n const estimatorRes = estimate(keypoints);\n for (const gesture of Gestures) {\n const confidence = gesture.matchAgainst(estimatorRes.curls, estimatorRes.directions);\n if (confidence >= minConfidence) poses.push({ name: gesture.name, confidence });\n }\n return poses;\n}\n", "/**\n * Gesture detection algorithm\n */\n\nimport type { GestureResult, BodyResult, FaceResult, HandResult, Point } from '../result';\nimport * as fingerPose from '../hand/fingerpose';\n\n/** face gesture type */\nexport type FaceGesture =\n `facing ${'left' | 'center' | 'right'}`\n | `blink ${'left' | 'right'} eye`\n | `mouth ${number}% open`\n | `head ${'up' | 'down'}`;\n\n/** iris gesture type */\nexport type IrisGesture =\n 'facing center'\n | `looking ${'left' | 'right' | 'up' | 'down'}`\n | 'looking center';\n\n/** body gesture type */\nexport type BodyGesture =\n `leaning ${'left' | 'right'}`\n | `raise ${'left' | 'right'} hand`\n | 'i give up';\n\n/** hand gesture type */\nexport type HandGesture =\n `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} forward`\n | `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} up`\n | 'victory'\n | 'thumbs up';\n\nexport const body = (res: BodyResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { body: number, gesture: BodyGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position[1] < nose.position[1]) && (rightWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) {\n gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position[1] > rightShoulder.position[1]) ? 'left' : 'right'}` });\n }\n }\n return gestures;\n};\n\nexport const face = (res: FaceResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { face: number, gesture: FaceGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 450) {\n const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0);\n const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0];\n if (Math.abs(zDiff / xDiff) <= 0.15) gestures.push({ face: i, gesture: 'facing center' });\n else gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? 'left' : 'right'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2] || 0;\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res: FaceResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { iris: number, gesture: IrisGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations?.leftEyeIris?.[0] || !res[i].annotations?.rightEyeIris?.[0]) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n let center = false;\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) {\n center = true;\n gestures.push({ iris: i, gesture: 'facing center' });\n }\n\n const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2];\n const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2];\n if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) center = false;\n if (leftIrisCenterX > rightIrisCenterX) { // check eye with bigger offset\n if (leftIrisCenterX > 0.05) gestures.push({ iris: i, gesture: 'looking right' });\n } else {\n if (rightIrisCenterX > 0.05) gestures.push({ iris: i, gesture: 'looking left' });\n }\n\n const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3];\n const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3];\n if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) center = false;\n if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) gestures.push({ iris: i, gesture: 'looking down' });\n if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) gestures.push({ iris: i, gesture: 'looking up' });\n\n // still center;\n if (center) gestures.push({ iris: i, gesture: 'looking center' });\n }\n return gestures;\n};\n\nexport const hand = (res: HandResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { hand: number, gesture: HandGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: { name: string, position: Point }[] = [];\n if (res[i].annotations) {\n for (const [finger, pos] of Object.entries(res[i].annotations)) {\n if (finger !== 'palmBase' && Array.isArray(pos) && pos[0]) fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => ((best.position[2] || 0) < (a.position[2] || 0) ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward` as HandGesture });\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${highest.name} up` as HandGesture });\n }\n if (res[i].keypoints) {\n const poses = fingerPose.match(res[i].keypoints);\n for (const pose of poses) gestures.push({ hand: i, gesture: pose.name as HandGesture });\n }\n }\n return gestures;\n};\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { Point } from '../result';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]] as Point;\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]] as Point;\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]] as Point;\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize] as Point;\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]] as Point;\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: number[] = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: number[][] = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "/**\n * HandPose model implementation constants\n * See `handpose.ts` for entry point\n */\n\nexport const anchors = [\n { x: 0.015625, y: 0.015625 },\n { x: 0.015625, y: 0.015625 },\n { x: 0.046875, y: 0.015625 },\n { x: 0.046875, y: 0.015625 },\n { x: 0.078125, y: 0.015625 },\n { x: 0.078125, y: 0.015625 },\n { x: 0.109375, y: 0.015625 },\n { x: 0.109375, y: 0.015625 },\n { x: 0.140625, y: 0.015625 },\n { x: 0.140625, y: 0.015625 },\n { x: 0.171875, y: 0.015625 },\n { x: 0.171875, y: 0.015625 },\n { x: 0.203125, y: 0.015625 },\n { x: 0.203125, y: 0.015625 },\n { x: 0.234375, y: 0.015625 },\n { x: 0.234375, y: 0.015625 },\n { x: 0.265625, y: 0.015625 },\n { x: 0.265625, y: 0.015625 },\n { x: 0.296875, y: 0.015625 },\n { x: 0.296875, y: 0.015625 },\n { x: 0.328125, y: 0.015625 },\n { x: 0.328125, y: 0.015625 },\n { x: 0.359375, y: 0.015625 },\n { x: 0.359375, y: 0.015625 },\n { x: 0.390625, y: 0.015625 },\n { x: 0.390625, y: 0.015625 },\n { x: 0.421875, y: 0.015625 },\n { x: 0.421875, y: 0.015625 },\n { x: 0.453125, y: 0.015625 },\n { x: 0.453125, y: 0.015625 },\n { x: 0.484375, y: 0.015625 },\n { x: 0.484375, y: 0.015625 },\n { x: 0.515625, y: 0.015625 },\n { x: 0.515625, y: 0.015625 },\n { x: 0.546875, y: 0.015625 },\n { x: 0.546875, y: 0.015625 },\n { x: 0.578125, y: 0.015625 },\n { x: 0.578125, y: 0.015625 },\n { x: 0.609375, y: 0.015625 },\n { x: 0.609375, y: 0.015625 },\n { x: 0.640625, y: 0.015625 },\n { x: 0.640625, y: 0.015625 },\n { x: 0.671875, y: 0.015625 },\n { x: 0.671875, y: 0.015625 },\n { x: 0.703125, y: 0.015625 },\n { x: 0.703125, y: 0.015625 },\n { x: 0.734375, y: 0.015625 },\n { x: 0.734375, y: 0.015625 },\n { x: 0.765625, y: 0.015625 },\n { x: 0.765625, y: 0.015625 },\n { x: 0.796875, y: 0.015625 },\n { x: 0.796875, y: 0.015625 },\n { x: 0.828125, y: 0.015625 },\n { x: 0.828125, y: 0.015625 },\n { x: 0.859375, y: 0.015625 },\n { x: 0.859375, y: 0.015625 },\n { x: 0.890625, y: 0.015625 },\n { x: 0.890625, y: 0.015625 },\n { x: 0.921875, y: 0.015625 },\n { x: 0.921875, y: 0.015625 },\n { x: 0.953125, y: 0.015625 },\n { x: 0.953125, y: 0.015625 },\n { x: 0.984375, y: 0.015625 },\n { x: 0.984375, y: 0.015625 },\n { x: 0.015625, y: 0.046875 },\n { x: 0.015625, y: 0.046875 },\n { x: 0.046875, y: 0.046875 },\n { x: 0.046875, y: 0.046875 },\n { x: 0.078125, y: 0.046875 },\n { x: 0.078125, y: 0.046875 },\n { x: 0.109375, y: 0.046875 },\n { x: 0.109375, y: 0.046875 },\n { x: 0.140625, y: 0.046875 },\n { x: 0.140625, y: 0.046875 },\n { x: 0.171875, y: 0.046875 },\n { x: 0.171875, y: 0.046875 },\n { x: 0.203125, y: 0.046875 },\n { x: 0.203125, y: 0.046875 },\n { x: 0.234375, y: 0.046875 },\n { x: 0.234375, y: 0.046875 },\n { x: 0.265625, y: 0.046875 },\n { x: 0.265625, y: 0.046875 },\n { x: 0.296875, y: 0.046875 },\n { x: 0.296875, y: 0.046875 },\n { x: 0.328125, y: 0.046875 },\n { x: 0.328125, y: 0.046875 },\n { x: 0.359375, y: 0.046875 },\n { x: 0.359375, y: 0.046875 },\n { x: 0.390625, y: 0.046875 },\n { x: 0.390625, y: 0.046875 },\n { x: 0.421875, y: 0.046875 },\n { x: 0.421875, y: 0.046875 },\n { x: 0.453125, y: 0.046875 },\n { x: 0.453125, y: 0.046875 },\n { x: 0.484375, y: 0.046875 },\n { x: 0.484375, y: 0.046875 },\n { x: 0.515625, y: 0.046875 },\n { x: 0.515625, y: 0.046875 },\n { x: 0.546875, y: 0.046875 },\n { x: 0.546875, y: 0.046875 },\n { x: 0.578125, y: 0.046875 },\n { x: 0.578125, y: 0.046875 },\n { x: 0.609375, y: 0.046875 },\n { x: 0.609375, y: 0.046875 },\n { x: 0.640625, y: 0.046875 },\n { x: 0.640625, y: 0.046875 },\n { x: 0.671875, y: 0.046875 },\n { x: 0.671875, y: 0.046875 },\n { x: 0.703125, y: 0.046875 },\n { x: 0.703125, y: 0.046875 },\n { x: 0.734375, y: 0.046875 },\n { x: 0.734375, y: 0.046875 },\n { x: 0.765625, y: 0.046875 },\n { x: 0.765625, y: 0.046875 },\n { x: 0.796875, y: 0.046875 },\n { x: 0.796875, y: 0.046875 },\n { x: 0.828125, y: 0.046875 },\n { x: 0.828125, y: 0.046875 },\n { x: 0.859375, y: 0.046875 },\n { x: 0.859375, y: 0.046875 },\n { x: 0.890625, y: 0.046875 },\n { x: 0.890625, y: 0.046875 },\n { x: 0.921875, y: 0.046875 },\n { x: 0.921875, y: 0.046875 },\n { x: 0.953125, y: 0.046875 },\n { x: 0.953125, y: 0.046875 },\n { x: 0.984375, y: 0.046875 },\n { x: 0.984375, y: 0.046875 },\n { x: 0.015625, y: 0.078125 },\n { x: 0.015625, y: 0.078125 },\n { x: 0.046875, y: 0.078125 },\n { x: 0.046875, y: 0.078125 },\n { x: 0.078125, y: 0.078125 },\n { x: 0.078125, y: 0.078125 },\n { x: 0.109375, y: 0.078125 },\n { x: 0.109375, y: 0.078125 },\n { x: 0.140625, y: 0.078125 },\n { x: 0.140625, y: 0.078125 },\n { x: 0.171875, y: 0.078125 },\n { x: 0.171875, y: 0.078125 },\n { x: 0.203125, y: 0.078125 },\n { x: 0.203125, y: 0.078125 },\n { x: 0.234375, y: 0.078125 },\n { x: 0.234375, y: 0.078125 },\n { x: 0.265625, y: 0.078125 },\n { x: 0.265625, y: 0.078125 },\n { x: 0.296875, y: 0.078125 },\n { x: 0.296875, y: 0.078125 },\n { x: 0.328125, y: 0.078125 },\n { x: 0.328125, y: 0.078125 },\n { x: 0.359375, y: 0.078125 },\n { x: 0.359375, y: 0.078125 },\n { x: 0.390625, y: 0.078125 },\n { x: 0.390625, y: 0.078125 },\n { x: 0.421875, y: 0.078125 },\n { x: 0.421875, y: 0.078125 },\n { x: 0.453125, y: 0.078125 },\n { x: 0.453125, y: 0.078125 },\n { x: 0.484375, y: 0.078125 },\n { x: 0.484375, y: 0.078125 },\n { x: 0.515625, y: 0.078125 },\n { x: 0.515625, y: 0.078125 },\n { x: 0.546875, y: 0.078125 },\n { x: 0.546875, y: 0.078125 },\n { x: 0.578125, y: 0.078125 },\n { x: 0.578125, y: 0.078125 },\n { x: 0.609375, y: 0.078125 },\n { x: 0.609375, y: 0.078125 },\n { x: 0.640625, y: 0.078125 },\n { x: 0.640625, y: 0.078125 },\n { x: 0.671875, y: 0.078125 },\n { x: 0.671875, y: 0.078125 },\n { x: 0.703125, y: 0.078125 },\n { x: 0.703125, y: 0.078125 },\n { x: 0.734375, y: 0.078125 },\n { x: 0.734375, y: 0.078125 },\n { x: 0.765625, y: 0.078125 },\n { x: 0.765625, y: 0.078125 },\n { x: 0.796875, y: 0.078125 },\n { x: 0.796875, y: 0.078125 },\n { x: 0.828125, y: 0.078125 },\n { x: 0.828125, y: 0.078125 },\n { x: 0.859375, y: 0.078125 },\n { x: 0.859375, y: 0.078125 },\n { x: 0.890625, y: 0.078125 },\n { x: 0.890625, y: 0.078125 },\n { x: 0.921875, y: 0.078125 },\n { x: 0.921875, y: 0.078125 },\n { x: 0.953125, y: 0.078125 },\n { x: 0.953125, y: 0.078125 },\n { x: 0.984375, y: 0.078125 },\n { x: 0.984375, y: 0.078125 },\n { x: 0.015625, y: 0.109375 },\n { x: 0.015625, y: 0.109375 },\n { x: 0.046875, y: 0.109375 },\n { x: 0.046875, y: 0.109375 },\n { x: 0.078125, y: 0.109375 },\n { x: 0.078125, y: 0.109375 },\n { x: 0.109375, y: 0.109375 },\n { x: 0.109375, y: 0.109375 },\n { x: 0.140625, y: 0.109375 },\n { x: 0.140625, y: 0.109375 },\n { x: 0.171875, y: 0.109375 },\n { x: 0.171875, y: 0.109375 },\n { x: 0.203125, y: 0.109375 },\n { x: 0.203125, y: 0.109375 },\n { x: 0.234375, y: 0.109375 },\n { x: 0.234375, y: 0.109375 },\n { x: 0.265625, y: 0.109375 },\n { x: 0.265625, y: 0.109375 },\n { x: 0.296875, y: 0.109375 },\n { x: 0.296875, y: 0.109375 },\n { x: 0.328125, y: 0.109375 },\n { x: 0.328125, y: 0.109375 },\n { x: 0.359375, y: 0.109375 },\n { x: 0.359375, y: 0.109375 },\n { x: 0.390625, y: 0.109375 },\n { x: 0.390625, y: 0.109375 },\n { x: 0.421875, y: 0.109375 },\n { x: 0.421875, y: 0.109375 },\n { x: 0.453125, y: 0.109375 },\n { x: 0.453125, y: 0.109375 },\n { x: 0.484375, y: 0.109375 },\n { x: 0.484375, y: 0.109375 },\n { x: 0.515625, y: 0.109375 },\n { x: 0.515625, y: 0.109375 },\n { x: 0.546875, y: 0.109375 },\n { x: 0.546875, y: 0.109375 },\n { x: 0.578125, y: 0.109375 },\n { x: 0.578125, y: 0.109375 },\n { x: 0.609375, y: 0.109375 },\n { x: 0.609375, y: 0.109375 },\n { x: 0.640625, y: 0.109375 },\n { x: 0.640625, y: 0.109375 },\n { x: 0.671875, y: 0.109375 },\n { x: 0.671875, y: 0.109375 },\n { x: 0.703125, y: 0.109375 },\n { x: 0.703125, y: 0.109375 },\n { x: 0.734375, y: 0.109375 },\n { x: 0.734375, y: 0.109375 },\n { x: 0.765625, y: 0.109375 },\n { x: 0.765625, y: 0.109375 },\n { x: 0.796875, y: 0.109375 },\n { x: 0.796875, y: 0.109375 },\n { x: 0.828125, y: 0.109375 },\n { x: 0.828125, y: 0.109375 },\n { x: 0.859375, y: 0.109375 },\n { x: 0.859375, y: 0.109375 },\n { x: 0.890625, y: 0.109375 },\n { x: 0.890625, y: 0.109375 },\n { x: 0.921875, y: 0.109375 },\n { x: 0.921875, y: 0.109375 },\n { x: 0.953125, y: 0.109375 },\n { x: 0.953125, y: 0.109375 },\n { x: 0.984375, y: 0.109375 },\n { x: 0.984375, y: 0.109375 },\n { x: 0.015625, y: 0.140625 },\n { x: 0.015625, y: 0.140625 },\n { x: 0.046875, y: 0.140625 },\n { x: 0.046875, y: 0.140625 },\n { x: 0.078125, y: 0.140625 },\n { x: 0.078125, y: 0.140625 },\n { x: 0.109375, y: 0.140625 },\n { x: 0.109375, y: 0.140625 },\n { x: 0.140625, y: 0.140625 },\n { x: 0.140625, y: 0.140625 },\n { x: 0.171875, y: 0.140625 },\n { x: 0.171875, y: 0.140625 },\n { x: 0.203125, y: 0.140625 },\n { x: 0.203125, y: 0.140625 },\n { x: 0.234375, y: 0.140625 },\n { x: 0.234375, y: 0.140625 },\n { x: 0.265625, y: 0.140625 },\n { x: 0.265625, y: 0.140625 },\n { x: 0.296875, y: 0.140625 },\n { x: 0.296875, y: 0.140625 },\n { x: 0.328125, y: 0.140625 },\n { x: 0.328125, y: 0.140625 },\n { x: 0.359375, y: 0.140625 },\n { x: 0.359375, y: 0.140625 },\n { x: 0.390625, y: 0.140625 },\n { x: 0.390625, y: 0.140625 },\n { x: 0.421875, y: 0.140625 },\n { x: 0.421875, y: 0.140625 },\n { x: 0.453125, y: 0.140625 },\n { x: 0.453125, y: 0.140625 },\n { x: 0.484375, y: 0.140625 },\n { x: 0.484375, y: 0.140625 },\n { x: 0.515625, y: 0.140625 },\n { x: 0.515625, y: 0.140625 },\n { x: 0.546875, y: 0.140625 },\n { x: 0.546875, y: 0.140625 },\n { x: 0.578125, y: 0.140625 },\n { x: 0.578125, y: 0.140625 },\n { x: 0.609375, y: 0.140625 },\n { x: 0.609375, y: 0.140625 },\n { x: 0.640625, y: 0.140625 },\n { x: 0.640625, y: 0.140625 },\n { x: 0.671875, y: 0.140625 },\n { x: 0.671875, y: 0.140625 },\n { x: 0.703125, y: 0.140625 },\n { x: 0.703125, y: 0.140625 },\n { x: 0.734375, y: 0.140625 },\n { x: 0.734375, y: 0.140625 },\n { x: 0.765625, y: 0.140625 },\n { x: 0.765625, y: 0.140625 },\n { x: 0.796875, y: 0.140625 },\n { x: 0.796875, y: 0.140625 },\n { x: 0.828125, y: 0.140625 },\n { x: 0.828125, y: 0.140625 },\n { x: 0.859375, y: 0.140625 },\n { x: 0.859375, y: 0.140625 },\n { x: 0.890625, y: 0.140625 },\n { x: 0.890625, y: 0.140625 },\n { x: 0.921875, y: 0.140625 },\n { x: 0.921875, y: 0.140625 },\n { x: 0.953125, y: 0.140625 },\n { x: 0.953125, y: 0.140625 },\n { x: 0.984375, y: 0.140625 },\n { x: 0.984375, y: 0.140625 },\n { x: 0.015625, y: 0.171875 },\n { x: 0.015625, y: 0.171875 },\n { x: 0.046875, y: 0.171875 },\n { x: 0.046875, y: 0.171875 },\n { x: 0.078125, y: 0.171875 },\n { x: 0.078125, y: 0.171875 },\n { x: 0.109375, y: 0.171875 },\n { x: 0.109375, y: 0.171875 },\n { x: 0.140625, y: 0.171875 },\n { x: 0.140625, y: 0.171875 },\n { x: 0.171875, y: 0.171875 },\n { x: 0.171875, y: 0.171875 },\n { x: 0.203125, y: 0.171875 },\n { x: 0.203125, y: 0.171875 },\n { x: 0.234375, y: 0.171875 },\n { x: 0.234375, y: 0.171875 },\n { x: 0.265625, y: 0.171875 },\n { x: 0.265625, y: 0.171875 },\n { x: 0.296875, y: 0.171875 },\n { x: 0.296875, y: 0.171875 },\n { x: 0.328125, y: 0.171875 },\n { x: 0.328125, y: 0.171875 },\n { x: 0.359375, y: 0.171875 },\n { x: 0.359375, y: 0.171875 },\n { x: 0.390625, y: 0.171875 },\n { x: 0.390625, y: 0.171875 },\n { x: 0.421875, y: 0.171875 },\n { x: 0.421875, y: 0.171875 },\n { x: 0.453125, y: 0.171875 },\n { x: 0.453125, y: 0.171875 },\n { x: 0.484375, y: 0.171875 },\n { x: 0.484375, y: 0.171875 },\n { x: 0.515625, y: 0.171875 },\n { x: 0.515625, y: 0.171875 },\n { x: 0.546875, y: 0.171875 },\n { x: 0.546875, y: 0.171875 },\n { x: 0.578125, y: 0.171875 },\n { x: 0.578125, y: 0.171875 },\n { x: 0.609375, y: 0.171875 },\n { x: 0.609375, y: 0.171875 },\n { x: 0.640625, y: 0.171875 },\n { x: 0.640625, y: 0.171875 },\n { x: 0.671875, y: 0.171875 },\n { x: 0.671875, y: 0.171875 },\n { x: 0.703125, y: 0.171875 },\n { x: 0.703125, y: 0.171875 },\n { x: 0.734375, y: 0.171875 },\n { x: 0.734375, y: 0.171875 },\n { x: 0.765625, y: 0.171875 },\n { x: 0.765625, y: 0.171875 },\n { x: 0.796875, y: 0.171875 },\n { x: 0.796875, y: 0.171875 },\n { x: 0.828125, y: 0.171875 },\n { x: 0.828125, y: 0.171875 },\n { x: 0.859375, y: 0.171875 },\n { x: 0.859375, y: 0.171875 },\n { x: 0.890625, y: 0.171875 },\n { x: 0.890625, y: 0.171875 },\n { x: 0.921875, y: 0.171875 },\n { x: 0.921875, y: 0.171875 },\n { x: 0.953125, y: 0.171875 },\n { x: 0.953125, y: 0.171875 },\n { x: 0.984375, y: 0.171875 },\n { x: 0.984375, y: 0.171875 },\n { x: 0.015625, y: 0.203125 },\n { x: 0.015625, y: 0.203125 },\n { x: 0.046875, y: 0.203125 },\n { x: 0.046875, y: 0.203125 },\n { x: 0.078125, y: 0.203125 },\n { x: 0.078125, y: 0.203125 },\n { x: 0.109375, y: 0.203125 },\n { x: 0.109375, y: 0.203125 },\n { x: 0.140625, y: 0.203125 },\n { x: 0.140625, y: 0.203125 },\n { x: 0.171875, y: 0.203125 },\n { x: 0.171875, y: 0.203125 },\n { x: 0.203125, y: 0.203125 },\n { x: 0.203125, y: 0.203125 },\n { x: 0.234375, y: 0.203125 },\n { x: 0.234375, y: 0.203125 },\n { x: 0.265625, y: 0.203125 },\n { x: 0.265625, y: 0.203125 },\n { x: 0.296875, y: 0.203125 },\n { x: 0.296875, y: 0.203125 },\n { x: 0.328125, y: 0.203125 },\n { x: 0.328125, y: 0.203125 },\n { x: 0.359375, y: 0.203125 },\n { x: 0.359375, y: 0.203125 },\n { x: 0.390625, y: 0.203125 },\n { x: 0.390625, y: 0.203125 },\n { x: 0.421875, y: 0.203125 },\n { x: 0.421875, y: 0.203125 },\n { x: 0.453125, y: 0.203125 },\n { x: 0.453125, y: 0.203125 },\n { x: 0.484375, y: 0.203125 },\n { x: 0.484375, y: 0.203125 },\n { x: 0.515625, y: 0.203125 },\n { x: 0.515625, y: 0.203125 },\n { x: 0.546875, y: 0.203125 },\n { x: 0.546875, y: 0.203125 },\n { x: 0.578125, y: 0.203125 },\n { x: 0.578125, y: 0.203125 },\n { x: 0.609375, y: 0.203125 },\n { x: 0.609375, y: 0.203125 },\n { x: 0.640625, y: 0.203125 },\n { x: 0.640625, y: 0.203125 },\n { x: 0.671875, y: 0.203125 },\n { x: 0.671875, y: 0.203125 },\n { x: 0.703125, y: 0.203125 },\n { x: 0.703125, y: 0.203125 },\n { x: 0.734375, y: 0.203125 },\n { x: 0.734375, y: 0.203125 },\n { x: 0.765625, y: 0.203125 },\n { x: 0.765625, y: 0.203125 },\n { x: 0.796875, y: 0.203125 },\n { x: 0.796875, y: 0.203125 },\n { x: 0.828125, y: 0.203125 },\n { x: 0.828125, y: 0.203125 },\n { x: 0.859375, y: 0.203125 },\n { x: 0.859375, y: 0.203125 },\n { x: 0.890625, y: 0.203125 },\n { x: 0.890625, y: 0.203125 },\n { x: 0.921875, y: 0.203125 },\n { x: 0.921875, y: 0.203125 },\n { x: 0.953125, y: 0.203125 },\n { x: 0.953125, y: 0.203125 },\n { x: 0.984375, y: 0.203125 },\n { x: 0.984375, y: 0.203125 },\n { x: 0.015625, y: 0.234375 },\n { x: 0.015625, y: 0.234375 },\n { x: 0.046875, y: 0.234375 },\n { x: 0.046875, y: 0.234375 },\n { x: 0.078125, y: 0.234375 },\n { x: 0.078125, y: 0.234375 },\n { x: 0.109375, y: 0.234375 },\n { x: 0.109375, y: 0.234375 },\n { x: 0.140625, y: 0.234375 },\n { x: 0.140625, y: 0.234375 },\n { x: 0.171875, y: 0.234375 },\n { x: 0.171875, y: 0.234375 },\n { x: 0.203125, y: 0.234375 },\n { x: 0.203125, y: 0.234375 },\n { x: 0.234375, y: 0.234375 },\n { x: 0.234375, y: 0.234375 },\n { x: 0.265625, y: 0.234375 },\n { x: 0.265625, y: 0.234375 },\n { x: 0.296875, y: 0.234375 },\n { x: 0.296875, y: 0.234375 },\n { x: 0.328125, y: 0.234375 },\n { x: 0.328125, y: 0.234375 },\n { x: 0.359375, y: 0.234375 },\n { x: 0.359375, y: 0.234375 },\n { x: 0.390625, y: 0.234375 },\n { x: 0.390625, y: 0.234375 },\n { x: 0.421875, y: 0.234375 },\n { x: 0.421875, y: 0.234375 },\n { x: 0.453125, y: 0.234375 },\n { x: 0.453125, y: 0.234375 },\n { x: 0.484375, y: 0.234375 },\n { x: 0.484375, y: 0.234375 },\n { x: 0.515625, y: 0.234375 },\n { x: 0.515625, y: 0.234375 },\n { x: 0.546875, y: 0.234375 },\n { x: 0.546875, y: 0.234375 },\n { x: 0.578125, y: 0.234375 },\n { x: 0.578125, y: 0.234375 },\n { x: 0.609375, y: 0.234375 },\n { x: 0.609375, y: 0.234375 },\n { x: 0.640625, y: 0.234375 },\n { x: 0.640625, y: 0.234375 },\n { x: 0.671875, y: 0.234375 },\n { x: 0.671875, y: 0.234375 },\n { x: 0.703125, y: 0.234375 },\n { x: 0.703125, y: 0.234375 },\n { x: 0.734375, y: 0.234375 },\n { x: 0.734375, y: 0.234375 },\n { x: 0.765625, y: 0.234375 },\n { x: 0.765625, y: 0.234375 },\n { x: 0.796875, y: 0.234375 },\n { x: 0.796875, y: 0.234375 },\n { x: 0.828125, y: 0.234375 },\n { x: 0.828125, y: 0.234375 },\n { x: 0.859375, y: 0.234375 },\n { x: 0.859375, y: 0.234375 },\n { x: 0.890625, y: 0.234375 },\n { x: 0.890625, y: 0.234375 },\n { x: 0.921875, y: 0.234375 },\n { x: 0.921875, y: 0.234375 },\n { x: 0.953125, y: 0.234375 },\n { x: 0.953125, y: 0.234375 },\n { x: 0.984375, y: 0.234375 },\n { x: 0.984375, y: 0.234375 },\n { x: 0.015625, y: 0.265625 },\n { x: 0.015625, y: 0.265625 },\n { x: 0.046875, y: 0.265625 },\n { x: 0.046875, y: 0.265625 },\n { x: 0.078125, y: 0.265625 },\n { x: 0.078125, y: 0.265625 },\n { x: 0.109375, y: 0.265625 },\n { x: 0.109375, y: 0.265625 },\n { x: 0.140625, y: 0.265625 },\n { x: 0.140625, y: 0.265625 },\n { x: 0.171875, y: 0.265625 },\n { x: 0.171875, y: 0.265625 },\n { x: 0.203125, y: 0.265625 },\n { x: 0.203125, y: 0.265625 },\n { x: 0.234375, y: 0.265625 },\n { x: 0.234375, y: 0.265625 },\n { x: 0.265625, y: 0.265625 },\n { x: 0.265625, y: 0.265625 },\n { x: 0.296875, y: 0.265625 },\n { x: 0.296875, y: 0.265625 },\n { x: 0.328125, y: 0.265625 },\n { x: 0.328125, y: 0.265625 },\n { x: 0.359375, y: 0.265625 },\n { x: 0.359375, y: 0.265625 },\n { x: 0.390625, y: 0.265625 },\n { x: 0.390625, y: 0.265625 },\n { x: 0.421875, y: 0.265625 },\n { x: 0.421875, y: 0.265625 },\n { x: 0.453125, y: 0.265625 },\n { x: 0.453125, y: 0.265625 },\n { x: 0.484375, y: 0.265625 },\n { x: 0.484375, y: 0.265625 },\n { x: 0.515625, y: 0.265625 },\n { x: 0.515625, y: 0.265625 },\n { x: 0.546875, y: 0.265625 },\n { x: 0.546875, y: 0.265625 },\n { x: 0.578125, y: 0.265625 },\n { x: 0.578125, y: 0.265625 },\n { x: 0.609375, y: 0.265625 },\n { x: 0.609375, y: 0.265625 },\n { x: 0.640625, y: 0.265625 },\n { x: 0.640625, y: 0.265625 },\n { x: 0.671875, y: 0.265625 },\n { x: 0.671875, y: 0.265625 },\n { x: 0.703125, y: 0.265625 },\n { x: 0.703125, y: 0.265625 },\n { x: 0.734375, y: 0.265625 },\n { x: 0.734375, y: 0.265625 },\n { x: 0.765625, y: 0.265625 },\n { x: 0.765625, y: 0.265625 },\n { x: 0.796875, y: 0.265625 },\n { x: 0.796875, y: 0.265625 },\n { x: 0.828125, y: 0.265625 },\n { x: 0.828125, y: 0.265625 },\n { x: 0.859375, y: 0.265625 },\n { x: 0.859375, y: 0.265625 },\n { x: 0.890625, y: 0.265625 },\n { x: 0.890625, y: 0.265625 },\n { x: 0.921875, y: 0.265625 },\n { x: 0.921875, y: 0.265625 },\n { x: 0.953125, y: 0.265625 },\n { x: 0.953125, y: 0.265625 },\n { x: 0.984375, y: 0.265625 },\n { x: 0.984375, y: 0.265625 },\n { x: 0.015625, y: 0.296875 },\n { x: 0.015625, y: 0.296875 },\n { x: 0.046875, y: 0.296875 },\n { x: 0.046875, y: 0.296875 },\n { x: 0.078125, y: 0.296875 },\n { x: 0.078125, y: 0.296875 },\n { x: 0.109375, y: 0.296875 },\n { x: 0.109375, y: 0.296875 },\n { x: 0.140625, y: 0.296875 },\n { x: 0.140625, y: 0.296875 },\n { x: 0.171875, y: 0.296875 },\n { x: 0.171875, y: 0.296875 },\n { x: 0.203125, y: 0.296875 },\n { x: 0.203125, y: 0.296875 },\n { x: 0.234375, y: 0.296875 },\n { x: 0.234375, y: 0.296875 },\n { x: 0.265625, y: 0.296875 },\n { x: 0.265625, y: 0.296875 },\n { x: 0.296875, y: 0.296875 },\n { x: 0.296875, y: 0.296875 },\n { x: 0.328125, y: 0.296875 },\n { x: 0.328125, y: 0.296875 },\n { x: 0.359375, y: 0.296875 },\n { x: 0.359375, y: 0.296875 },\n { x: 0.390625, y: 0.296875 },\n { x: 0.390625, y: 0.296875 },\n { x: 0.421875, y: 0.296875 },\n { x: 0.421875, y: 0.296875 },\n { x: 0.453125, y: 0.296875 },\n { x: 0.453125, y: 0.296875 },\n { x: 0.484375, y: 0.296875 },\n { x: 0.484375, y: 0.296875 },\n { x: 0.515625, y: 0.296875 },\n { x: 0.515625, y: 0.296875 },\n { x: 0.546875, y: 0.296875 },\n { x: 0.546875, y: 0.296875 },\n { x: 0.578125, y: 0.296875 },\n { x: 0.578125, y: 0.296875 },\n { x: 0.609375, y: 0.296875 },\n { x: 0.609375, y: 0.296875 },\n { x: 0.640625, y: 0.296875 },\n { x: 0.640625, y: 0.296875 },\n { x: 0.671875, y: 0.296875 },\n { x: 0.671875, y: 0.296875 },\n { x: 0.703125, y: 0.296875 },\n { x: 0.703125, y: 0.296875 },\n { x: 0.734375, y: 0.296875 },\n { x: 0.734375, y: 0.296875 },\n { x: 0.765625, y: 0.296875 },\n { x: 0.765625, y: 0.296875 },\n { x: 0.796875, y: 0.296875 },\n { x: 0.796875, y: 0.296875 },\n { x: 0.828125, y: 0.296875 },\n { x: 0.828125, y: 0.296875 },\n { x: 0.859375, y: 0.296875 },\n { x: 0.859375, y: 0.296875 },\n { x: 0.890625, y: 0.296875 },\n { x: 0.890625, y: 0.296875 },\n { x: 0.921875, y: 0.296875 },\n { x: 0.921875, y: 0.296875 },\n { x: 0.953125, y: 0.296875 },\n { x: 0.953125, y: 0.296875 },\n { x: 0.984375, y: 0.296875 },\n { x: 0.984375, y: 0.296875 },\n { x: 0.015625, y: 0.328125 },\n { x: 0.015625, y: 0.328125 },\n { x: 0.046875, y: 0.328125 },\n { x: 0.046875, y: 0.328125 },\n { x: 0.078125, y: 0.328125 },\n { x: 0.078125, y: 0.328125 },\n { x: 0.109375, y: 0.328125 },\n { x: 0.109375, y: 0.328125 },\n { x: 0.140625, y: 0.328125 },\n { x: 0.140625, y: 0.328125 },\n { x: 0.171875, y: 0.328125 },\n { x: 0.171875, y: 0.328125 },\n { x: 0.203125, y: 0.328125 },\n { x: 0.203125, y: 0.328125 },\n { x: 0.234375, y: 0.328125 },\n { x: 0.234375, y: 0.328125 },\n { x: 0.265625, y: 0.328125 },\n { x: 0.265625, y: 0.328125 },\n { x: 0.296875, y: 0.328125 },\n { x: 0.296875, y: 0.328125 },\n { x: 0.328125, y: 0.328125 },\n { x: 0.328125, y: 0.328125 },\n { x: 0.359375, y: 0.328125 },\n { x: 0.359375, y: 0.328125 },\n { x: 0.390625, y: 0.328125 },\n { x: 0.390625, y: 0.328125 },\n { x: 0.421875, y: 0.328125 },\n { x: 0.421875, y: 0.328125 },\n { x: 0.453125, y: 0.328125 },\n { x: 0.453125, y: 0.328125 },\n { x: 0.484375, y: 0.328125 },\n { x: 0.484375, y: 0.328125 },\n { x: 0.515625, y: 0.328125 },\n { x: 0.515625, y: 0.328125 },\n { x: 0.546875, y: 0.328125 },\n { x: 0.546875, y: 0.328125 },\n { x: 0.578125, y: 0.328125 },\n { x: 0.578125, y: 0.328125 },\n { x: 0.609375, y: 0.328125 },\n { x: 0.609375, y: 0.328125 },\n { x: 0.640625, y: 0.328125 },\n { x: 0.640625, y: 0.328125 },\n { x: 0.671875, y: 0.328125 },\n { x: 0.671875, y: 0.328125 },\n { x: 0.703125, y: 0.328125 },\n { x: 0.703125, y: 0.328125 },\n { x: 0.734375, y: 0.328125 },\n { x: 0.734375, y: 0.328125 },\n { x: 0.765625, y: 0.328125 },\n { x: 0.765625, y: 0.328125 },\n { x: 0.796875, y: 0.328125 },\n { x: 0.796875, y: 0.328125 },\n { x: 0.828125, y: 0.328125 },\n { x: 0.828125, y: 0.328125 },\n { x: 0.859375, y: 0.328125 },\n { x: 0.859375, y: 0.328125 },\n { x: 0.890625, y: 0.328125 },\n { x: 0.890625, y: 0.328125 },\n { x: 0.921875, y: 0.328125 },\n { x: 0.921875, y: 0.328125 },\n { x: 0.953125, y: 0.328125 },\n { x: 0.953125, y: 0.328125 },\n { x: 0.984375, y: 0.328125 },\n { x: 0.984375, y: 0.328125 },\n { x: 0.015625, y: 0.359375 },\n { x: 0.015625, y: 0.359375 },\n { x: 0.046875, y: 0.359375 },\n { x: 0.046875, y: 0.359375 },\n { x: 0.078125, y: 0.359375 },\n { x: 0.078125, y: 0.359375 },\n { x: 0.109375, y: 0.359375 },\n { x: 0.109375, y: 0.359375 },\n { x: 0.140625, y: 0.359375 },\n { x: 0.140625, y: 0.359375 },\n { x: 0.171875, y: 0.359375 },\n { x: 0.171875, y: 0.359375 },\n { x: 0.203125, y: 0.359375 },\n { x: 0.203125, y: 0.359375 },\n { x: 0.234375, y: 0.359375 },\n { x: 0.234375, y: 0.359375 },\n { x: 0.265625, y: 0.359375 },\n { x: 0.265625, y: 0.359375 },\n { x: 0.296875, y: 0.359375 },\n { x: 0.296875, y: 0.359375 },\n { x: 0.328125, y: 0.359375 },\n { x: 0.328125, y: 0.359375 },\n { x: 0.359375, y: 0.359375 },\n { x: 0.359375, y: 0.359375 },\n { x: 0.390625, y: 0.359375 },\n { x: 0.390625, y: 0.359375 },\n { x: 0.421875, y: 0.359375 },\n { x: 0.421875, y: 0.359375 },\n { x: 0.453125, y: 0.359375 },\n { x: 0.453125, y: 0.359375 },\n { x: 0.484375, y: 0.359375 },\n { x: 0.484375, y: 0.359375 },\n { x: 0.515625, y: 0.359375 },\n { x: 0.515625, y: 0.359375 },\n { x: 0.546875, y: 0.359375 },\n { x: 0.546875, y: 0.359375 },\n { x: 0.578125, y: 0.359375 },\n { x: 0.578125, y: 0.359375 },\n { x: 0.609375, y: 0.359375 },\n { x: 0.609375, y: 0.359375 },\n { x: 0.640625, y: 0.359375 },\n { x: 0.640625, y: 0.359375 },\n { x: 0.671875, y: 0.359375 },\n { x: 0.671875, y: 0.359375 },\n { x: 0.703125, y: 0.359375 },\n { x: 0.703125, y: 0.359375 },\n { x: 0.734375, y: 0.359375 },\n { x: 0.734375, y: 0.359375 },\n { x: 0.765625, y: 0.359375 },\n { x: 0.765625, y: 0.359375 },\n { x: 0.796875, y: 0.359375 },\n { x: 0.796875, y: 0.359375 },\n { x: 0.828125, y: 0.359375 },\n { x: 0.828125, y: 0.359375 },\n { x: 0.859375, y: 0.359375 },\n { x: 0.859375, y: 0.359375 },\n { x: 0.890625, y: 0.359375 },\n { x: 0.890625, y: 0.359375 },\n { x: 0.921875, y: 0.359375 },\n { x: 0.921875, y: 0.359375 },\n { x: 0.953125, y: 0.359375 },\n { x: 0.953125, y: 0.359375 },\n { x: 0.984375, y: 0.359375 },\n { x: 0.984375, y: 0.359375 },\n { x: 0.015625, y: 0.390625 },\n { x: 0.015625, y: 0.390625 },\n { x: 0.046875, y: 0.390625 },\n { x: 0.046875, y: 0.390625 },\n { x: 0.078125, y: 0.390625 },\n { x: 0.078125, y: 0.390625 },\n { x: 0.109375, y: 0.390625 },\n { x: 0.109375, y: 0.390625 },\n { x: 0.140625, y: 0.390625 },\n { x: 0.140625, y: 0.390625 },\n { x: 0.171875, y: 0.390625 },\n { x: 0.171875, y: 0.390625 },\n { x: 0.203125, y: 0.390625 },\n { x: 0.203125, y: 0.390625 },\n { x: 0.234375, y: 0.390625 },\n { x: 0.234375, y: 0.390625 },\n { x: 0.265625, y: 0.390625 },\n { x: 0.265625, y: 0.390625 },\n { x: 0.296875, y: 0.390625 },\n { x: 0.296875, y: 0.390625 },\n { x: 0.328125, y: 0.390625 },\n { x: 0.328125, y: 0.390625 },\n { x: 0.359375, y: 0.390625 },\n { x: 0.359375, y: 0.390625 },\n { x: 0.390625, y: 0.390625 },\n { x: 0.390625, y: 0.390625 },\n { x: 0.421875, y: 0.390625 },\n { x: 0.421875, y: 0.390625 },\n { x: 0.453125, y: 0.390625 },\n { x: 0.453125, y: 0.390625 },\n { x: 0.484375, y: 0.390625 },\n { x: 0.484375, y: 0.390625 },\n { x: 0.515625, y: 0.390625 },\n { x: 0.515625, y: 0.390625 },\n { x: 0.546875, y: 0.390625 },\n { x: 0.546875, y: 0.390625 },\n { x: 0.578125, y: 0.390625 },\n { x: 0.578125, y: 0.390625 },\n { x: 0.609375, y: 0.390625 },\n { x: 0.609375, y: 0.390625 },\n { x: 0.640625, y: 0.390625 },\n { x: 0.640625, y: 0.390625 },\n { x: 0.671875, y: 0.390625 },\n { x: 0.671875, y: 0.390625 },\n { x: 0.703125, y: 0.390625 },\n { x: 0.703125, y: 0.390625 },\n { x: 0.734375, y: 0.390625 },\n { x: 0.734375, y: 0.390625 },\n { x: 0.765625, y: 0.390625 },\n { x: 0.765625, y: 0.390625 },\n { x: 0.796875, y: 0.390625 },\n { x: 0.796875, y: 0.390625 },\n { x: 0.828125, y: 0.390625 },\n { x: 0.828125, y: 0.390625 },\n { x: 0.859375, y: 0.390625 },\n { x: 0.859375, y: 0.390625 },\n { x: 0.890625, y: 0.390625 },\n { x: 0.890625, y: 0.390625 },\n { x: 0.921875, y: 0.390625 },\n { x: 0.921875, y: 0.390625 },\n { x: 0.953125, y: 0.390625 },\n { x: 0.953125, y: 0.390625 },\n { x: 0.984375, y: 0.390625 },\n { x: 0.984375, y: 0.390625 },\n { x: 0.015625, y: 0.421875 },\n { x: 0.015625, y: 0.421875 },\n { x: 0.046875, y: 0.421875 },\n { x: 0.046875, y: 0.421875 },\n { x: 0.078125, y: 0.421875 },\n { x: 0.078125, y: 0.421875 },\n { x: 0.109375, y: 0.421875 },\n { x: 0.109375, y: 0.421875 },\n { x: 0.140625, y: 0.421875 },\n { x: 0.140625, y: 0.421875 },\n { x: 0.171875, y: 0.421875 },\n { x: 0.171875, y: 0.421875 },\n { x: 0.203125, y: 0.421875 },\n { x: 0.203125, y: 0.421875 },\n { x: 0.234375, y: 0.421875 },\n { x: 0.234375, y: 0.421875 },\n { x: 0.265625, y: 0.421875 },\n { x: 0.265625, y: 0.421875 },\n { x: 0.296875, y: 0.421875 },\n { x: 0.296875, y: 0.421875 },\n { x: 0.328125, y: 0.421875 },\n { x: 0.328125, y: 0.421875 },\n { x: 0.359375, y: 0.421875 },\n { x: 0.359375, y: 0.421875 },\n { x: 0.390625, y: 0.421875 },\n { x: 0.390625, y: 0.421875 },\n { x: 0.421875, y: 0.421875 },\n { x: 0.421875, y: 0.421875 },\n { x: 0.453125, y: 0.421875 },\n { x: 0.453125, y: 0.421875 },\n { x: 0.484375, y: 0.421875 },\n { x: 0.484375, y: 0.421875 },\n { x: 0.515625, y: 0.421875 },\n { x: 0.515625, y: 0.421875 },\n { x: 0.546875, y: 0.421875 },\n { x: 0.546875, y: 0.421875 },\n { x: 0.578125, y: 0.421875 },\n { x: 0.578125, y: 0.421875 },\n { x: 0.609375, y: 0.421875 },\n { x: 0.609375, y: 0.421875 },\n { x: 0.640625, y: 0.421875 },\n { x: 0.640625, y: 0.421875 },\n { x: 0.671875, y: 0.421875 },\n { x: 0.671875, y: 0.421875 },\n { x: 0.703125, y: 0.421875 },\n { x: 0.703125, y: 0.421875 },\n { x: 0.734375, y: 0.421875 },\n { x: 0.734375, y: 0.421875 },\n { x: 0.765625, y: 0.421875 },\n { x: 0.765625, y: 0.421875 },\n { x: 0.796875, y: 0.421875 },\n { x: 0.796875, y: 0.421875 },\n { x: 0.828125, y: 0.421875 },\n { x: 0.828125, y: 0.421875 },\n { x: 0.859375, y: 0.421875 },\n { x: 0.859375, y: 0.421875 },\n { x: 0.890625, y: 0.421875 },\n { x: 0.890625, y: 0.421875 },\n { x: 0.921875, y: 0.421875 },\n { x: 0.921875, y: 0.421875 },\n { x: 0.953125, y: 0.421875 },\n { x: 0.953125, y: 0.421875 },\n { x: 0.984375, y: 0.421875 },\n { x: 0.984375, y: 0.421875 },\n { x: 0.015625, y: 0.453125 },\n { x: 0.015625, y: 0.453125 },\n { x: 0.046875, y: 0.453125 },\n { x: 0.046875, y: 0.453125 },\n { x: 0.078125, y: 0.453125 },\n { x: 0.078125, y: 0.453125 },\n { x: 0.109375, y: 0.453125 },\n { x: 0.109375, y: 0.453125 },\n { x: 0.140625, y: 0.453125 },\n { x: 0.140625, y: 0.453125 },\n { x: 0.171875, y: 0.453125 },\n { x: 0.171875, y: 0.453125 },\n { x: 0.203125, y: 0.453125 },\n { x: 0.203125, y: 0.453125 },\n { x: 0.234375, y: 0.453125 },\n { x: 0.234375, y: 0.453125 },\n { x: 0.265625, y: 0.453125 },\n { x: 0.265625, y: 0.453125 },\n { x: 0.296875, y: 0.453125 },\n { x: 0.296875, y: 0.453125 },\n { x: 0.328125, y: 0.453125 },\n { x: 0.328125, y: 0.453125 },\n { x: 0.359375, y: 0.453125 },\n { x: 0.359375, y: 0.453125 },\n { x: 0.390625, y: 0.453125 },\n { x: 0.390625, y: 0.453125 },\n { x: 0.421875, y: 0.453125 },\n { x: 0.421875, y: 0.453125 },\n { x: 0.453125, y: 0.453125 },\n { x: 0.453125, y: 0.453125 },\n { x: 0.484375, y: 0.453125 },\n { x: 0.484375, y: 0.453125 },\n { x: 0.515625, y: 0.453125 },\n { x: 0.515625, y: 0.453125 },\n { x: 0.546875, y: 0.453125 },\n { x: 0.546875, y: 0.453125 },\n { x: 0.578125, y: 0.453125 },\n { x: 0.578125, y: 0.453125 },\n { x: 0.609375, y: 0.453125 },\n { x: 0.609375, y: 0.453125 },\n { x: 0.640625, y: 0.453125 },\n { x: 0.640625, y: 0.453125 },\n { x: 0.671875, y: 0.453125 },\n { x: 0.671875, y: 0.453125 },\n { x: 0.703125, y: 0.453125 },\n { x: 0.703125, y: 0.453125 },\n { x: 0.734375, y: 0.453125 },\n { x: 0.734375, y: 0.453125 },\n { x: 0.765625, y: 0.453125 },\n { x: 0.765625, y: 0.453125 },\n { x: 0.796875, y: 0.453125 },\n { x: 0.796875, y: 0.453125 },\n { x: 0.828125, y: 0.453125 },\n { x: 0.828125, y: 0.453125 },\n { x: 0.859375, y: 0.453125 },\n { x: 0.859375, y: 0.453125 },\n { x: 0.890625, y: 0.453125 },\n { x: 0.890625, y: 0.453125 },\n { x: 0.921875, y: 0.453125 },\n { x: 0.921875, y: 0.453125 },\n { x: 0.953125, y: 0.453125 },\n { x: 0.953125, y: 0.453125 },\n { x: 0.984375, y: 0.453125 },\n { x: 0.984375, y: 0.453125 },\n { x: 0.015625, y: 0.484375 },\n { x: 0.015625, y: 0.484375 },\n { x: 0.046875, y: 0.484375 },\n { x: 0.046875, y: 0.484375 },\n { x: 0.078125, y: 0.484375 },\n { x: 0.078125, y: 0.484375 },\n { x: 0.109375, y: 0.484375 },\n { x: 0.109375, y: 0.484375 },\n { x: 0.140625, y: 0.484375 },\n { x: 0.140625, y: 0.484375 },\n { x: 0.171875, y: 0.484375 },\n { x: 0.171875, y: 0.484375 },\n { x: 0.203125, y: 0.484375 },\n { x: 0.203125, y: 0.484375 },\n { x: 0.234375, y: 0.484375 },\n { x: 0.234375, y: 0.484375 },\n { x: 0.265625, y: 0.484375 },\n { x: 0.265625, y: 0.484375 },\n { x: 0.296875, y: 0.484375 },\n { x: 0.296875, y: 0.484375 },\n { x: 0.328125, y: 0.484375 },\n { x: 0.328125, y: 0.484375 },\n { x: 0.359375, y: 0.484375 },\n { x: 0.359375, y: 0.484375 },\n { x: 0.390625, y: 0.484375 },\n { x: 0.390625, y: 0.484375 },\n { x: 0.421875, y: 0.484375 },\n { x: 0.421875, y: 0.484375 },\n { x: 0.453125, y: 0.484375 },\n { x: 0.453125, y: 0.484375 },\n { x: 0.484375, y: 0.484375 },\n { x: 0.484375, y: 0.484375 },\n { x: 0.515625, y: 0.484375 },\n { x: 0.515625, y: 0.484375 },\n { x: 0.546875, y: 0.484375 },\n { x: 0.546875, y: 0.484375 },\n { x: 0.578125, y: 0.484375 },\n { x: 0.578125, y: 0.484375 },\n { x: 0.609375, y: 0.484375 },\n { x: 0.609375, y: 0.484375 },\n { x: 0.640625, y: 0.484375 },\n { x: 0.640625, y: 0.484375 },\n { x: 0.671875, y: 0.484375 },\n { x: 0.671875, y: 0.484375 },\n { x: 0.703125, y: 0.484375 },\n { x: 0.703125, y: 0.484375 },\n { x: 0.734375, y: 0.484375 },\n { x: 0.734375, y: 0.484375 },\n { x: 0.765625, y: 0.484375 },\n { x: 0.765625, y: 0.484375 },\n { x: 0.796875, y: 0.484375 },\n { x: 0.796875, y: 0.484375 },\n { x: 0.828125, y: 0.484375 },\n { x: 0.828125, y: 0.484375 },\n { x: 0.859375, y: 0.484375 },\n { x: 0.859375, y: 0.484375 },\n { x: 0.890625, y: 0.484375 },\n { x: 0.890625, y: 0.484375 },\n { x: 0.921875, y: 0.484375 },\n { x: 0.921875, y: 0.484375 },\n { x: 0.953125, y: 0.484375 },\n { x: 0.953125, y: 0.484375 },\n { x: 0.984375, y: 0.484375 },\n { x: 0.984375, y: 0.484375 },\n { x: 0.015625, y: 0.515625 },\n { x: 0.015625, y: 0.515625 },\n { x: 0.046875, y: 0.515625 },\n { x: 0.046875, y: 0.515625 },\n { x: 0.078125, y: 0.515625 },\n { x: 0.078125, y: 0.515625 },\n { x: 0.109375, y: 0.515625 },\n { x: 0.109375, y: 0.515625 },\n { x: 0.140625, y: 0.515625 },\n { x: 0.140625, y: 0.515625 },\n { x: 0.171875, y: 0.515625 },\n { x: 0.171875, y: 0.515625 },\n { x: 0.203125, y: 0.515625 },\n { x: 0.203125, y: 0.515625 },\n { x: 0.234375, y: 0.515625 },\n { x: 0.234375, y: 0.515625 },\n { x: 0.265625, y: 0.515625 },\n { x: 0.265625, y: 0.515625 },\n { x: 0.296875, y: 0.515625 },\n { x: 0.296875, y: 0.515625 },\n { x: 0.328125, y: 0.515625 },\n { x: 0.328125, y: 0.515625 },\n { x: 0.359375, y: 0.515625 },\n { x: 0.359375, y: 0.515625 },\n { x: 0.390625, y: 0.515625 },\n { x: 0.390625, y: 0.515625 },\n { x: 0.421875, y: 0.515625 },\n { x: 0.421875, y: 0.515625 },\n { x: 0.453125, y: 0.515625 },\n { x: 0.453125, y: 0.515625 },\n { x: 0.484375, y: 0.515625 },\n { x: 0.484375, y: 0.515625 },\n { x: 0.515625, y: 0.515625 },\n { x: 0.515625, y: 0.515625 },\n { x: 0.546875, y: 0.515625 },\n { x: 0.546875, y: 0.515625 },\n { x: 0.578125, y: 0.515625 },\n { x: 0.578125, y: 0.515625 },\n { x: 0.609375, y: 0.515625 },\n { x: 0.609375, y: 0.515625 },\n { x: 0.640625, y: 0.515625 },\n { x: 0.640625, y: 0.515625 },\n { x: 0.671875, y: 0.515625 },\n { x: 0.671875, y: 0.515625 },\n { x: 0.703125, y: 0.515625 },\n { x: 0.703125, y: 0.515625 },\n { x: 0.734375, y: 0.515625 },\n { x: 0.734375, y: 0.515625 },\n { x: 0.765625, y: 0.515625 },\n { x: 0.765625, y: 0.515625 },\n { x: 0.796875, y: 0.515625 },\n { x: 0.796875, y: 0.515625 },\n { x: 0.828125, y: 0.515625 },\n { x: 0.828125, y: 0.515625 },\n { x: 0.859375, y: 0.515625 },\n { x: 0.859375, y: 0.515625 },\n { x: 0.890625, y: 0.515625 },\n { x: 0.890625, y: 0.515625 },\n { x: 0.921875, y: 0.515625 },\n { x: 0.921875, y: 0.515625 },\n { x: 0.953125, y: 0.515625 },\n { x: 0.953125, y: 0.515625 },\n { x: 0.984375, y: 0.515625 },\n { x: 0.984375, y: 0.515625 },\n { x: 0.015625, y: 0.546875 },\n { x: 0.015625, y: 0.546875 },\n { x: 0.046875, y: 0.546875 },\n { x: 0.046875, y: 0.546875 },\n { x: 0.078125, y: 0.546875 },\n { x: 0.078125, y: 0.546875 },\n { x: 0.109375, y: 0.546875 },\n { x: 0.109375, y: 0.546875 },\n { x: 0.140625, y: 0.546875 },\n { x: 0.140625, y: 0.546875 },\n { x: 0.171875, y: 0.546875 },\n { x: 0.171875, y: 0.546875 },\n { x: 0.203125, y: 0.546875 },\n { x: 0.203125, y: 0.546875 },\n { x: 0.234375, y: 0.546875 },\n { x: 0.234375, y: 0.546875 },\n { x: 0.265625, y: 0.546875 },\n { x: 0.265625, y: 0.546875 },\n { x: 0.296875, y: 0.546875 },\n { x: 0.296875, y: 0.546875 },\n { x: 0.328125, y: 0.546875 },\n { x: 0.328125, y: 0.546875 },\n { x: 0.359375, y: 0.546875 },\n { x: 0.359375, y: 0.546875 },\n { x: 0.390625, y: 0.546875 },\n { x: 0.390625, y: 0.546875 },\n { x: 0.421875, y: 0.546875 },\n { x: 0.421875, y: 0.546875 },\n { x: 0.453125, y: 0.546875 },\n { x: 0.453125, y: 0.546875 },\n { x: 0.484375, y: 0.546875 },\n { x: 0.484375, y: 0.546875 },\n { x: 0.515625, y: 0.546875 },\n { x: 0.515625, y: 0.546875 },\n { x: 0.546875, y: 0.546875 },\n { x: 0.546875, y: 0.546875 },\n { x: 0.578125, y: 0.546875 },\n { x: 0.578125, y: 0.546875 },\n { x: 0.609375, y: 0.546875 },\n { x: 0.609375, y: 0.546875 },\n { x: 0.640625, y: 0.546875 },\n { x: 0.640625, y: 0.546875 },\n { x: 0.671875, y: 0.546875 },\n { x: 0.671875, y: 0.546875 },\n { x: 0.703125, y: 0.546875 },\n { x: 0.703125, y: 0.546875 },\n { x: 0.734375, y: 0.546875 },\n { x: 0.734375, y: 0.546875 },\n { x: 0.765625, y: 0.546875 },\n { x: 0.765625, y: 0.546875 },\n { x: 0.796875, y: 0.546875 },\n { x: 0.796875, y: 0.546875 },\n { x: 0.828125, y: 0.546875 },\n { x: 0.828125, y: 0.546875 },\n { x: 0.859375, y: 0.546875 },\n { x: 0.859375, y: 0.546875 },\n { x: 0.890625, y: 0.546875 },\n { x: 0.890625, y: 0.546875 },\n { x: 0.921875, y: 0.546875 },\n { x: 0.921875, y: 0.546875 },\n { x: 0.953125, y: 0.546875 },\n { x: 0.953125, y: 0.546875 },\n { x: 0.984375, y: 0.546875 },\n { x: 0.984375, y: 0.546875 },\n { x: 0.015625, y: 0.578125 },\n { x: 0.015625, y: 0.578125 },\n { x: 0.046875, y: 0.578125 },\n { x: 0.046875, y: 0.578125 },\n { x: 0.078125, y: 0.578125 },\n { x: 0.078125, y: 0.578125 },\n { x: 0.109375, y: 0.578125 },\n { x: 0.109375, y: 0.578125 },\n { x: 0.140625, y: 0.578125 },\n { x: 0.140625, y: 0.578125 },\n { x: 0.171875, y: 0.578125 },\n { x: 0.171875, y: 0.578125 },\n { x: 0.203125, y: 0.578125 },\n { x: 0.203125, y: 0.578125 },\n { x: 0.234375, y: 0.578125 },\n { x: 0.234375, y: 0.578125 },\n { x: 0.265625, y: 0.578125 },\n { x: 0.265625, y: 0.578125 },\n { x: 0.296875, y: 0.578125 },\n { x: 0.296875, y: 0.578125 },\n { x: 0.328125, y: 0.578125 },\n { x: 0.328125, y: 0.578125 },\n { x: 0.359375, y: 0.578125 },\n { x: 0.359375, y: 0.578125 },\n { x: 0.390625, y: 0.578125 },\n { x: 0.390625, y: 0.578125 },\n { x: 0.421875, y: 0.578125 },\n { x: 0.421875, y: 0.578125 },\n { x: 0.453125, y: 0.578125 },\n { x: 0.453125, y: 0.578125 },\n { x: 0.484375, y: 0.578125 },\n { x: 0.484375, y: 0.578125 },\n { x: 0.515625, y: 0.578125 },\n { x: 0.515625, y: 0.578125 },\n { x: 0.546875, y: 0.578125 },\n { x: 0.546875, y: 0.578125 },\n { x: 0.578125, y: 0.578125 },\n { x: 0.578125, y: 0.578125 },\n { x: 0.609375, y: 0.578125 },\n { x: 0.609375, y: 0.578125 },\n { x: 0.640625, y: 0.578125 },\n { x: 0.640625, y: 0.578125 },\n { x: 0.671875, y: 0.578125 },\n { x: 0.671875, y: 0.578125 },\n { x: 0.703125, y: 0.578125 },\n { x: 0.703125, y: 0.578125 },\n { x: 0.734375, y: 0.578125 },\n { x: 0.734375, y: 0.578125 },\n { x: 0.765625, y: 0.578125 },\n { x: 0.765625, y: 0.578125 },\n { x: 0.796875, y: 0.578125 },\n { x: 0.796875, y: 0.578125 },\n { x: 0.828125, y: 0.578125 },\n { x: 0.828125, y: 0.578125 },\n { x: 0.859375, y: 0.578125 },\n { x: 0.859375, y: 0.578125 },\n { x: 0.890625, y: 0.578125 },\n { x: 0.890625, y: 0.578125 },\n { x: 0.921875, y: 0.578125 },\n { x: 0.921875, y: 0.578125 },\n { x: 0.953125, y: 0.578125 },\n { x: 0.953125, y: 0.578125 },\n { x: 0.984375, y: 0.578125 },\n { x: 0.984375, y: 0.578125 },\n { x: 0.015625, y: 0.609375 },\n { x: 0.015625, y: 0.609375 },\n { x: 0.046875, y: 0.609375 },\n { x: 0.046875, y: 0.609375 },\n { x: 0.078125, y: 0.609375 },\n { x: 0.078125, y: 0.609375 },\n { x: 0.109375, y: 0.609375 },\n { x: 0.109375, y: 0.609375 },\n { x: 0.140625, y: 0.609375 },\n { x: 0.140625, y: 0.609375 },\n { x: 0.171875, y: 0.609375 },\n { x: 0.171875, y: 0.609375 },\n { x: 0.203125, y: 0.609375 },\n { x: 0.203125, y: 0.609375 },\n { x: 0.234375, y: 0.609375 },\n { x: 0.234375, y: 0.609375 },\n { x: 0.265625, y: 0.609375 },\n { x: 0.265625, y: 0.609375 },\n { x: 0.296875, y: 0.609375 },\n { x: 0.296875, y: 0.609375 },\n { x: 0.328125, y: 0.609375 },\n { x: 0.328125, y: 0.609375 },\n { x: 0.359375, y: 0.609375 },\n { x: 0.359375, y: 0.609375 },\n { x: 0.390625, y: 0.609375 },\n { x: 0.390625, y: 0.609375 },\n { x: 0.421875, y: 0.609375 },\n { x: 0.421875, y: 0.609375 },\n { x: 0.453125, y: 0.609375 },\n { x: 0.453125, y: 0.609375 },\n { x: 0.484375, y: 0.609375 },\n { x: 0.484375, y: 0.609375 },\n { x: 0.515625, y: 0.609375 },\n { x: 0.515625, y: 0.609375 },\n { x: 0.546875, y: 0.609375 },\n { x: 0.546875, y: 0.609375 },\n { x: 0.578125, y: 0.609375 },\n { x: 0.578125, y: 0.609375 },\n { x: 0.609375, y: 0.609375 },\n { x: 0.609375, y: 0.609375 },\n { x: 0.640625, y: 0.609375 },\n { x: 0.640625, y: 0.609375 },\n { x: 0.671875, y: 0.609375 },\n { x: 0.671875, y: 0.609375 },\n { x: 0.703125, y: 0.609375 },\n { x: 0.703125, y: 0.609375 },\n { x: 0.734375, y: 0.609375 },\n { x: 0.734375, y: 0.609375 },\n { x: 0.765625, y: 0.609375 },\n { x: 0.765625, y: 0.609375 },\n { x: 0.796875, y: 0.609375 },\n { x: 0.796875, y: 0.609375 },\n { x: 0.828125, y: 0.609375 },\n { x: 0.828125, y: 0.609375 },\n { x: 0.859375, y: 0.609375 },\n { x: 0.859375, y: 0.609375 },\n { x: 0.890625, y: 0.609375 },\n { x: 0.890625, y: 0.609375 },\n { x: 0.921875, y: 0.609375 },\n { x: 0.921875, y: 0.609375 },\n { x: 0.953125, y: 0.609375 },\n { x: 0.953125, y: 0.609375 },\n { x: 0.984375, y: 0.609375 },\n { x: 0.984375, y: 0.609375 },\n { x: 0.015625, y: 0.640625 },\n { x: 0.015625, y: 0.640625 },\n { x: 0.046875, y: 0.640625 },\n { x: 0.046875, y: 0.640625 },\n { x: 0.078125, y: 0.640625 },\n { x: 0.078125, y: 0.640625 },\n { x: 0.109375, y: 0.640625 },\n { x: 0.109375, y: 0.640625 },\n { x: 0.140625, y: 0.640625 },\n { x: 0.140625, y: 0.640625 },\n { x: 0.171875, y: 0.640625 },\n { x: 0.171875, y: 0.640625 },\n { x: 0.203125, y: 0.640625 },\n { x: 0.203125, y: 0.640625 },\n { x: 0.234375, y: 0.640625 },\n { x: 0.234375, y: 0.640625 },\n { x: 0.265625, y: 0.640625 },\n { x: 0.265625, y: 0.640625 },\n { x: 0.296875, y: 0.640625 },\n { x: 0.296875, y: 0.640625 },\n { x: 0.328125, y: 0.640625 },\n { x: 0.328125, y: 0.640625 },\n { x: 0.359375, y: 0.640625 },\n { x: 0.359375, y: 0.640625 },\n { x: 0.390625, y: 0.640625 },\n { x: 0.390625, y: 0.640625 },\n { x: 0.421875, y: 0.640625 },\n { x: 0.421875, y: 0.640625 },\n { x: 0.453125, y: 0.640625 },\n { x: 0.453125, y: 0.640625 },\n { x: 0.484375, y: 0.640625 },\n { x: 0.484375, y: 0.640625 },\n { x: 0.515625, y: 0.640625 },\n { x: 0.515625, y: 0.640625 },\n { x: 0.546875, y: 0.640625 },\n { x: 0.546875, y: 0.640625 },\n { x: 0.578125, y: 0.640625 },\n { x: 0.578125, y: 0.640625 },\n { x: 0.609375, y: 0.640625 },\n { x: 0.609375, y: 0.640625 },\n { x: 0.640625, y: 0.640625 },\n { x: 0.640625, y: 0.640625 },\n { x: 0.671875, y: 0.640625 },\n { x: 0.671875, y: 0.640625 },\n { x: 0.703125, y: 0.640625 },\n { x: 0.703125, y: 0.640625 },\n { x: 0.734375, y: 0.640625 },\n { x: 0.734375, y: 0.640625 },\n { x: 0.765625, y: 0.640625 },\n { x: 0.765625, y: 0.640625 },\n { x: 0.796875, y: 0.640625 },\n { x: 0.796875, y: 0.640625 },\n { x: 0.828125, y: 0.640625 },\n { x: 0.828125, y: 0.640625 },\n { x: 0.859375, y: 0.640625 },\n { x: 0.859375, y: 0.640625 },\n { x: 0.890625, y: 0.640625 },\n { x: 0.890625, y: 0.640625 },\n { x: 0.921875, y: 0.640625 },\n { x: 0.921875, y: 0.640625 },\n { x: 0.953125, y: 0.640625 },\n { x: 0.953125, y: 0.640625 },\n { x: 0.984375, y: 0.640625 },\n { x: 0.984375, y: 0.640625 },\n { x: 0.015625, y: 0.671875 },\n { x: 0.015625, y: 0.671875 },\n { x: 0.046875, y: 0.671875 },\n { x: 0.046875, y: 0.671875 },\n { x: 0.078125, y: 0.671875 },\n { x: 0.078125, y: 0.671875 },\n { x: 0.109375, y: 0.671875 },\n { x: 0.109375, y: 0.671875 },\n { x: 0.140625, y: 0.671875 },\n { x: 0.140625, y: 0.671875 },\n { x: 0.171875, y: 0.671875 },\n { x: 0.171875, y: 0.671875 },\n { x: 0.203125, y: 0.671875 },\n { x: 0.203125, y: 0.671875 },\n { x: 0.234375, y: 0.671875 },\n { x: 0.234375, y: 0.671875 },\n { x: 0.265625, y: 0.671875 },\n { x: 0.265625, y: 0.671875 },\n { x: 0.296875, y: 0.671875 },\n { x: 0.296875, y: 0.671875 },\n { x: 0.328125, y: 0.671875 },\n { x: 0.328125, y: 0.671875 },\n { x: 0.359375, y: 0.671875 },\n { x: 0.359375, y: 0.671875 },\n { x: 0.390625, y: 0.671875 },\n { x: 0.390625, y: 0.671875 },\n { x: 0.421875, y: 0.671875 },\n { x: 0.421875, y: 0.671875 },\n { x: 0.453125, y: 0.671875 },\n { x: 0.453125, y: 0.671875 },\n { x: 0.484375, y: 0.671875 },\n { x: 0.484375, y: 0.671875 },\n { x: 0.515625, y: 0.671875 },\n { x: 0.515625, y: 0.671875 },\n { x: 0.546875, y: 0.671875 },\n { x: 0.546875, y: 0.671875 },\n { x: 0.578125, y: 0.671875 },\n { x: 0.578125, y: 0.671875 },\n { x: 0.609375, y: 0.671875 },\n { x: 0.609375, y: 0.671875 },\n { x: 0.640625, y: 0.671875 },\n { x: 0.640625, y: 0.671875 },\n { x: 0.671875, y: 0.671875 },\n { x: 0.671875, y: 0.671875 },\n { x: 0.703125, y: 0.671875 },\n { x: 0.703125, y: 0.671875 },\n { x: 0.734375, y: 0.671875 },\n { x: 0.734375, y: 0.671875 },\n { x: 0.765625, y: 0.671875 },\n { x: 0.765625, y: 0.671875 },\n { x: 0.796875, y: 0.671875 },\n { x: 0.796875, y: 0.671875 },\n { x: 0.828125, y: 0.671875 },\n { x: 0.828125, y: 0.671875 },\n { x: 0.859375, y: 0.671875 },\n { x: 0.859375, y: 0.671875 },\n { x: 0.890625, y: 0.671875 },\n { x: 0.890625, y: 0.671875 },\n { x: 0.921875, y: 0.671875 },\n { x: 0.921875, y: 0.671875 },\n { x: 0.953125, y: 0.671875 },\n { x: 0.953125, y: 0.671875 },\n { x: 0.984375, y: 0.671875 },\n { x: 0.984375, y: 0.671875 },\n { x: 0.015625, y: 0.703125 },\n { x: 0.015625, y: 0.703125 },\n { x: 0.046875, y: 0.703125 },\n { x: 0.046875, y: 0.703125 },\n { x: 0.078125, y: 0.703125 },\n { x: 0.078125, y: 0.703125 },\n { x: 0.109375, y: 0.703125 },\n { x: 0.109375, y: 0.703125 },\n { x: 0.140625, y: 0.703125 },\n { x: 0.140625, y: 0.703125 },\n { x: 0.171875, y: 0.703125 },\n { x: 0.171875, y: 0.703125 },\n { x: 0.203125, y: 0.703125 },\n { x: 0.203125, y: 0.703125 },\n { x: 0.234375, y: 0.703125 },\n { x: 0.234375, y: 0.703125 },\n { x: 0.265625, y: 0.703125 },\n { x: 0.265625, y: 0.703125 },\n { x: 0.296875, y: 0.703125 },\n { x: 0.296875, y: 0.703125 },\n { x: 0.328125, y: 0.703125 },\n { x: 0.328125, y: 0.703125 },\n { x: 0.359375, y: 0.703125 },\n { x: 0.359375, y: 0.703125 },\n { x: 0.390625, y: 0.703125 },\n { x: 0.390625, y: 0.703125 },\n { x: 0.421875, y: 0.703125 },\n { x: 0.421875, y: 0.703125 },\n { x: 0.453125, y: 0.703125 },\n { x: 0.453125, y: 0.703125 },\n { x: 0.484375, y: 0.703125 },\n { x: 0.484375, y: 0.703125 },\n { x: 0.515625, y: 0.703125 },\n { x: 0.515625, y: 0.703125 },\n { x: 0.546875, y: 0.703125 },\n { x: 0.546875, y: 0.703125 },\n { x: 0.578125, y: 0.703125 },\n { x: 0.578125, y: 0.703125 },\n { x: 0.609375, y: 0.703125 },\n { x: 0.609375, y: 0.703125 },\n { x: 0.640625, y: 0.703125 },\n { x: 0.640625, y: 0.703125 },\n { x: 0.671875, y: 0.703125 },\n { x: 0.671875, y: 0.703125 },\n { x: 0.703125, y: 0.703125 },\n { x: 0.703125, y: 0.703125 },\n { x: 0.734375, y: 0.703125 },\n { x: 0.734375, y: 0.703125 },\n { x: 0.765625, y: 0.703125 },\n { x: 0.765625, y: 0.703125 },\n { x: 0.796875, y: 0.703125 },\n { x: 0.796875, y: 0.703125 },\n { x: 0.828125, y: 0.703125 },\n { x: 0.828125, y: 0.703125 },\n { x: 0.859375, y: 0.703125 },\n { x: 0.859375, y: 0.703125 },\n { x: 0.890625, y: 0.703125 },\n { x: 0.890625, y: 0.703125 },\n { x: 0.921875, y: 0.703125 },\n { x: 0.921875, y: 0.703125 },\n { x: 0.953125, y: 0.703125 },\n { x: 0.953125, y: 0.703125 },\n { x: 0.984375, y: 0.703125 },\n { x: 0.984375, y: 0.703125 },\n { x: 0.015625, y: 0.734375 },\n { x: 0.015625, y: 0.734375 },\n { x: 0.046875, y: 0.734375 },\n { x: 0.046875, y: 0.734375 },\n { x: 0.078125, y: 0.734375 },\n { x: 0.078125, y: 0.734375 },\n { x: 0.109375, y: 0.734375 },\n { x: 0.109375, y: 0.734375 },\n { x: 0.140625, y: 0.734375 },\n { x: 0.140625, y: 0.734375 },\n { x: 0.171875, y: 0.734375 },\n { x: 0.171875, y: 0.734375 },\n { x: 0.203125, y: 0.734375 },\n { x: 0.203125, y: 0.734375 },\n { x: 0.234375, y: 0.734375 },\n { x: 0.234375, y: 0.734375 },\n { x: 0.265625, y: 0.734375 },\n { x: 0.265625, y: 0.734375 },\n { x: 0.296875, y: 0.734375 },\n { x: 0.296875, y: 0.734375 },\n { x: 0.328125, y: 0.734375 },\n { x: 0.328125, y: 0.734375 },\n { x: 0.359375, y: 0.734375 },\n { x: 0.359375, y: 0.734375 },\n { x: 0.390625, y: 0.734375 },\n { x: 0.390625, y: 0.734375 },\n { x: 0.421875, y: 0.734375 },\n { x: 0.421875, y: 0.734375 },\n { x: 0.453125, y: 0.734375 },\n { x: 0.453125, y: 0.734375 },\n { x: 0.484375, y: 0.734375 },\n { x: 0.484375, y: 0.734375 },\n { x: 0.515625, y: 0.734375 },\n { x: 0.515625, y: 0.734375 },\n { x: 0.546875, y: 0.734375 },\n { x: 0.546875, y: 0.734375 },\n { x: 0.578125, y: 0.734375 },\n { x: 0.578125, y: 0.734375 },\n { x: 0.609375, y: 0.734375 },\n { x: 0.609375, y: 0.734375 },\n { x: 0.640625, y: 0.734375 },\n { x: 0.640625, y: 0.734375 },\n { x: 0.671875, y: 0.734375 },\n { x: 0.671875, y: 0.734375 },\n { x: 0.703125, y: 0.734375 },\n { x: 0.703125, y: 0.734375 },\n { x: 0.734375, y: 0.734375 },\n { x: 0.734375, y: 0.734375 },\n { x: 0.765625, y: 0.734375 },\n { x: 0.765625, y: 0.734375 },\n { x: 0.796875, y: 0.734375 },\n { x: 0.796875, y: 0.734375 },\n { x: 0.828125, y: 0.734375 },\n { x: 0.828125, y: 0.734375 },\n { x: 0.859375, y: 0.734375 },\n { x: 0.859375, y: 0.734375 },\n { x: 0.890625, y: 0.734375 },\n { x: 0.890625, y: 0.734375 },\n { x: 0.921875, y: 0.734375 },\n { x: 0.921875, y: 0.734375 },\n { x: 0.953125, y: 0.734375 },\n { x: 0.953125, y: 0.734375 },\n { x: 0.984375, y: 0.734375 },\n { x: 0.984375, y: 0.734375 },\n { x: 0.015625, y: 0.765625 },\n { x: 0.015625, y: 0.765625 },\n { x: 0.046875, y: 0.765625 },\n { x: 0.046875, y: 0.765625 },\n { x: 0.078125, y: 0.765625 },\n { x: 0.078125, y: 0.765625 },\n { x: 0.109375, y: 0.765625 },\n { x: 0.109375, y: 0.765625 },\n { x: 0.140625, y: 0.765625 },\n { x: 0.140625, y: 0.765625 },\n { x: 0.171875, y: 0.765625 },\n { x: 0.171875, y: 0.765625 },\n { x: 0.203125, y: 0.765625 },\n { x: 0.203125, y: 0.765625 },\n { x: 0.234375, y: 0.765625 },\n { x: 0.234375, y: 0.765625 },\n { x: 0.265625, y: 0.765625 },\n { x: 0.265625, y: 0.765625 },\n { x: 0.296875, y: 0.765625 },\n { x: 0.296875, y: 0.765625 },\n { x: 0.328125, y: 0.765625 },\n { x: 0.328125, y: 0.765625 },\n { x: 0.359375, y: 0.765625 },\n { x: 0.359375, y: 0.765625 },\n { x: 0.390625, y: 0.765625 },\n { x: 0.390625, y: 0.765625 },\n { x: 0.421875, y: 0.765625 },\n { x: 0.421875, y: 0.765625 },\n { x: 0.453125, y: 0.765625 },\n { x: 0.453125, y: 0.765625 },\n { x: 0.484375, y: 0.765625 },\n { x: 0.484375, y: 0.765625 },\n { x: 0.515625, y: 0.765625 },\n { x: 0.515625, y: 0.765625 },\n { x: 0.546875, y: 0.765625 },\n { x: 0.546875, y: 0.765625 },\n { x: 0.578125, y: 0.765625 },\n { x: 0.578125, y: 0.765625 },\n { x: 0.609375, y: 0.765625 },\n { x: 0.609375, y: 0.765625 },\n { x: 0.640625, y: 0.765625 },\n { x: 0.640625, y: 0.765625 },\n { x: 0.671875, y: 0.765625 },\n { x: 0.671875, y: 0.765625 },\n { x: 0.703125, y: 0.765625 },\n { x: 0.703125, y: 0.765625 },\n { x: 0.734375, y: 0.765625 },\n { x: 0.734375, y: 0.765625 },\n { x: 0.765625, y: 0.765625 },\n { x: 0.765625, y: 0.765625 },\n { x: 0.796875, y: 0.765625 },\n { x: 0.796875, y: 0.765625 },\n { x: 0.828125, y: 0.765625 },\n { x: 0.828125, y: 0.765625 },\n { x: 0.859375, y: 0.765625 },\n { x: 0.859375, y: 0.765625 },\n { x: 0.890625, y: 0.765625 },\n { x: 0.890625, y: 0.765625 },\n { x: 0.921875, y: 0.765625 },\n { x: 0.921875, y: 0.765625 },\n { x: 0.953125, y: 0.765625 },\n { x: 0.953125, y: 0.765625 },\n { x: 0.984375, y: 0.765625 },\n { x: 0.984375, y: 0.765625 },\n { x: 0.015625, y: 0.796875 },\n { x: 0.015625, y: 0.796875 },\n { x: 0.046875, y: 0.796875 },\n { x: 0.046875, y: 0.796875 },\n { x: 0.078125, y: 0.796875 },\n { x: 0.078125, y: 0.796875 },\n { x: 0.109375, y: 0.796875 },\n { x: 0.109375, y: 0.796875 },\n { x: 0.140625, y: 0.796875 },\n { x: 0.140625, y: 0.796875 },\n { x: 0.171875, y: 0.796875 },\n { x: 0.171875, y: 0.796875 },\n { x: 0.203125, y: 0.796875 },\n { x: 0.203125, y: 0.796875 },\n { x: 0.234375, y: 0.796875 },\n { x: 0.234375, y: 0.796875 },\n { x: 0.265625, y: 0.796875 },\n { x: 0.265625, y: 0.796875 },\n { x: 0.296875, y: 0.796875 },\n { x: 0.296875, y: 0.796875 },\n { x: 0.328125, y: 0.796875 },\n { x: 0.328125, y: 0.796875 },\n { x: 0.359375, y: 0.796875 },\n { x: 0.359375, y: 0.796875 },\n { x: 0.390625, y: 0.796875 },\n { x: 0.390625, y: 0.796875 },\n { x: 0.421875, y: 0.796875 },\n { x: 0.421875, y: 0.796875 },\n { x: 0.453125, y: 0.796875 },\n { x: 0.453125, y: 0.796875 },\n { x: 0.484375, y: 0.796875 },\n { x: 0.484375, y: 0.796875 },\n { x: 0.515625, y: 0.796875 },\n { x: 0.515625, y: 0.796875 },\n { x: 0.546875, y: 0.796875 },\n { x: 0.546875, y: 0.796875 },\n { x: 0.578125, y: 0.796875 },\n { x: 0.578125, y: 0.796875 },\n { x: 0.609375, y: 0.796875 },\n { x: 0.609375, y: 0.796875 },\n { x: 0.640625, y: 0.796875 },\n { x: 0.640625, y: 0.796875 },\n { x: 0.671875, y: 0.796875 },\n { x: 0.671875, y: 0.796875 },\n { x: 0.703125, y: 0.796875 },\n { x: 0.703125, y: 0.796875 },\n { x: 0.734375, y: 0.796875 },\n { x: 0.734375, y: 0.796875 },\n { x: 0.765625, y: 0.796875 },\n { x: 0.765625, y: 0.796875 },\n { x: 0.796875, y: 0.796875 },\n { x: 0.796875, y: 0.796875 },\n { x: 0.828125, y: 0.796875 },\n { x: 0.828125, y: 0.796875 },\n { x: 0.859375, y: 0.796875 },\n { x: 0.859375, y: 0.796875 },\n { x: 0.890625, y: 0.796875 },\n { x: 0.890625, y: 0.796875 },\n { x: 0.921875, y: 0.796875 },\n { x: 0.921875, y: 0.796875 },\n { x: 0.953125, y: 0.796875 },\n { x: 0.953125, y: 0.796875 },\n { x: 0.984375, y: 0.796875 },\n { x: 0.984375, y: 0.796875 },\n { x: 0.015625, y: 0.828125 },\n { x: 0.015625, y: 0.828125 },\n { x: 0.046875, y: 0.828125 },\n { x: 0.046875, y: 0.828125 },\n { x: 0.078125, y: 0.828125 },\n { x: 0.078125, y: 0.828125 },\n { x: 0.109375, y: 0.828125 },\n { x: 0.109375, y: 0.828125 },\n { x: 0.140625, y: 0.828125 },\n { x: 0.140625, y: 0.828125 },\n { x: 0.171875, y: 0.828125 },\n { x: 0.171875, y: 0.828125 },\n { x: 0.203125, y: 0.828125 },\n { x: 0.203125, y: 0.828125 },\n { x: 0.234375, y: 0.828125 },\n { x: 0.234375, y: 0.828125 },\n { x: 0.265625, y: 0.828125 },\n { x: 0.265625, y: 0.828125 },\n { x: 0.296875, y: 0.828125 },\n { x: 0.296875, y: 0.828125 },\n { x: 0.328125, y: 0.828125 },\n { x: 0.328125, y: 0.828125 },\n { x: 0.359375, y: 0.828125 },\n { x: 0.359375, y: 0.828125 },\n { x: 0.390625, y: 0.828125 },\n { x: 0.390625, y: 0.828125 },\n { x: 0.421875, y: 0.828125 },\n { x: 0.421875, y: 0.828125 },\n { x: 0.453125, y: 0.828125 },\n { x: 0.453125, y: 0.828125 },\n { x: 0.484375, y: 0.828125 },\n { x: 0.484375, y: 0.828125 },\n { x: 0.515625, y: 0.828125 },\n { x: 0.515625, y: 0.828125 },\n { x: 0.546875, y: 0.828125 },\n { x: 0.546875, y: 0.828125 },\n { x: 0.578125, y: 0.828125 },\n { x: 0.578125, y: 0.828125 },\n { x: 0.609375, y: 0.828125 },\n { x: 0.609375, y: 0.828125 },\n { x: 0.640625, y: 0.828125 },\n { x: 0.640625, y: 0.828125 },\n { x: 0.671875, y: 0.828125 },\n { x: 0.671875, y: 0.828125 },\n { x: 0.703125, y: 0.828125 },\n { x: 0.703125, y: 0.828125 },\n { x: 0.734375, y: 0.828125 },\n { x: 0.734375, y: 0.828125 },\n { x: 0.765625, y: 0.828125 },\n { x: 0.765625, y: 0.828125 },\n { x: 0.796875, y: 0.828125 },\n { x: 0.796875, y: 0.828125 },\n { x: 0.828125, y: 0.828125 },\n { x: 0.828125, y: 0.828125 },\n { x: 0.859375, y: 0.828125 },\n { x: 0.859375, y: 0.828125 },\n { x: 0.890625, y: 0.828125 },\n { x: 0.890625, y: 0.828125 },\n { x: 0.921875, y: 0.828125 },\n { x: 0.921875, y: 0.828125 },\n { x: 0.953125, y: 0.828125 },\n { x: 0.953125, y: 0.828125 },\n { x: 0.984375, y: 0.828125 },\n { x: 0.984375, y: 0.828125 },\n { x: 0.015625, y: 0.859375 },\n { x: 0.015625, y: 0.859375 },\n { x: 0.046875, y: 0.859375 },\n { x: 0.046875, y: 0.859375 },\n { x: 0.078125, y: 0.859375 },\n { x: 0.078125, y: 0.859375 },\n { x: 0.109375, y: 0.859375 },\n { x: 0.109375, y: 0.859375 },\n { x: 0.140625, y: 0.859375 },\n { x: 0.140625, y: 0.859375 },\n { x: 0.171875, y: 0.859375 },\n { x: 0.171875, y: 0.859375 },\n { x: 0.203125, y: 0.859375 },\n { x: 0.203125, y: 0.859375 },\n { x: 0.234375, y: 0.859375 },\n { x: 0.234375, y: 0.859375 },\n { x: 0.265625, y: 0.859375 },\n { x: 0.265625, y: 0.859375 },\n { x: 0.296875, y: 0.859375 },\n { x: 0.296875, y: 0.859375 },\n { x: 0.328125, y: 0.859375 },\n { x: 0.328125, y: 0.859375 },\n { x: 0.359375, y: 0.859375 },\n { x: 0.359375, y: 0.859375 },\n { x: 0.390625, y: 0.859375 },\n { x: 0.390625, y: 0.859375 },\n { x: 0.421875, y: 0.859375 },\n { x: 0.421875, y: 0.859375 },\n { x: 0.453125, y: 0.859375 },\n { x: 0.453125, y: 0.859375 },\n { x: 0.484375, y: 0.859375 },\n { x: 0.484375, y: 0.859375 },\n { x: 0.515625, y: 0.859375 },\n { x: 0.515625, y: 0.859375 },\n { x: 0.546875, y: 0.859375 },\n { x: 0.546875, y: 0.859375 },\n { x: 0.578125, y: 0.859375 },\n { x: 0.578125, y: 0.859375 },\n { x: 0.609375, y: 0.859375 },\n { x: 0.609375, y: 0.859375 },\n { x: 0.640625, y: 0.859375 },\n { x: 0.640625, y: 0.859375 },\n { x: 0.671875, y: 0.859375 },\n { x: 0.671875, y: 0.859375 },\n { x: 0.703125, y: 0.859375 },\n { x: 0.703125, y: 0.859375 },\n { x: 0.734375, y: 0.859375 },\n { x: 0.734375, y: 0.859375 },\n { x: 0.765625, y: 0.859375 },\n { x: 0.765625, y: 0.859375 },\n { x: 0.796875, y: 0.859375 },\n { x: 0.796875, y: 0.859375 },\n { x: 0.828125, y: 0.859375 },\n { x: 0.828125, y: 0.859375 },\n { x: 0.859375, y: 0.859375 },\n { x: 0.859375, y: 0.859375 },\n { x: 0.890625, y: 0.859375 },\n { x: 0.890625, y: 0.859375 },\n { x: 0.921875, y: 0.859375 },\n { x: 0.921875, y: 0.859375 },\n { x: 0.953125, y: 0.859375 },\n { x: 0.953125, y: 0.859375 },\n { x: 0.984375, y: 0.859375 },\n { x: 0.984375, y: 0.859375 },\n { x: 0.015625, y: 0.890625 },\n { x: 0.015625, y: 0.890625 },\n { x: 0.046875, y: 0.890625 },\n { x: 0.046875, y: 0.890625 },\n { x: 0.078125, y: 0.890625 },\n { x: 0.078125, y: 0.890625 },\n { x: 0.109375, y: 0.890625 },\n { x: 0.109375, y: 0.890625 },\n { x: 0.140625, y: 0.890625 },\n { x: 0.140625, y: 0.890625 },\n { x: 0.171875, y: 0.890625 },\n { x: 0.171875, y: 0.890625 },\n { x: 0.203125, y: 0.890625 },\n { x: 0.203125, y: 0.890625 },\n { x: 0.234375, y: 0.890625 },\n { x: 0.234375, y: 0.890625 },\n { x: 0.265625, y: 0.890625 },\n { x: 0.265625, y: 0.890625 },\n { x: 0.296875, y: 0.890625 },\n { x: 0.296875, y: 0.890625 },\n { x: 0.328125, y: 0.890625 },\n { x: 0.328125, y: 0.890625 },\n { x: 0.359375, y: 0.890625 },\n { x: 0.359375, y: 0.890625 },\n { x: 0.390625, y: 0.890625 },\n { x: 0.390625, y: 0.890625 },\n { x: 0.421875, y: 0.890625 },\n { x: 0.421875, y: 0.890625 },\n { x: 0.453125, y: 0.890625 },\n { x: 0.453125, y: 0.890625 },\n { x: 0.484375, y: 0.890625 },\n { x: 0.484375, y: 0.890625 },\n { x: 0.515625, y: 0.890625 },\n { x: 0.515625, y: 0.890625 },\n { x: 0.546875, y: 0.890625 },\n { x: 0.546875, y: 0.890625 },\n { x: 0.578125, y: 0.890625 },\n { x: 0.578125, y: 0.890625 },\n { x: 0.609375, y: 0.890625 },\n { x: 0.609375, y: 0.890625 },\n { x: 0.640625, y: 0.890625 },\n { x: 0.640625, y: 0.890625 },\n { x: 0.671875, y: 0.890625 },\n { x: 0.671875, y: 0.890625 },\n { x: 0.703125, y: 0.890625 },\n { x: 0.703125, y: 0.890625 },\n { x: 0.734375, y: 0.890625 },\n { x: 0.734375, y: 0.890625 },\n { x: 0.765625, y: 0.890625 },\n { x: 0.765625, y: 0.890625 },\n { x: 0.796875, y: 0.890625 },\n { x: 0.796875, y: 0.890625 },\n { x: 0.828125, y: 0.890625 },\n { x: 0.828125, y: 0.890625 },\n { x: 0.859375, y: 0.890625 },\n { x: 0.859375, y: 0.890625 },\n { x: 0.890625, y: 0.890625 },\n { x: 0.890625, y: 0.890625 },\n { x: 0.921875, y: 0.890625 },\n { x: 0.921875, y: 0.890625 },\n { x: 0.953125, y: 0.890625 },\n { x: 0.953125, y: 0.890625 },\n { x: 0.984375, y: 0.890625 },\n { x: 0.984375, y: 0.890625 },\n { x: 0.015625, y: 0.921875 },\n { x: 0.015625, y: 0.921875 },\n { x: 0.046875, y: 0.921875 },\n { x: 0.046875, y: 0.921875 },\n { x: 0.078125, y: 0.921875 },\n { x: 0.078125, y: 0.921875 },\n { x: 0.109375, y: 0.921875 },\n { x: 0.109375, y: 0.921875 },\n { x: 0.140625, y: 0.921875 },\n { x: 0.140625, y: 0.921875 },\n { x: 0.171875, y: 0.921875 },\n { x: 0.171875, y: 0.921875 },\n { x: 0.203125, y: 0.921875 },\n { x: 0.203125, y: 0.921875 },\n { x: 0.234375, y: 0.921875 },\n { x: 0.234375, y: 0.921875 },\n { x: 0.265625, y: 0.921875 },\n { x: 0.265625, y: 0.921875 },\n { x: 0.296875, y: 0.921875 },\n { x: 0.296875, y: 0.921875 },\n { x: 0.328125, y: 0.921875 },\n { x: 0.328125, y: 0.921875 },\n { x: 0.359375, y: 0.921875 },\n { x: 0.359375, y: 0.921875 },\n { x: 0.390625, y: 0.921875 },\n { x: 0.390625, y: 0.921875 },\n { x: 0.421875, y: 0.921875 },\n { x: 0.421875, y: 0.921875 },\n { x: 0.453125, y: 0.921875 },\n { x: 0.453125, y: 0.921875 },\n { x: 0.484375, y: 0.921875 },\n { x: 0.484375, y: 0.921875 },\n { x: 0.515625, y: 0.921875 },\n { x: 0.515625, y: 0.921875 },\n { x: 0.546875, y: 0.921875 },\n { x: 0.546875, y: 0.921875 },\n { x: 0.578125, y: 0.921875 },\n { x: 0.578125, y: 0.921875 },\n { x: 0.609375, y: 0.921875 },\n { x: 0.609375, y: 0.921875 },\n { x: 0.640625, y: 0.921875 },\n { x: 0.640625, y: 0.921875 },\n { x: 0.671875, y: 0.921875 },\n { x: 0.671875, y: 0.921875 },\n { x: 0.703125, y: 0.921875 },\n { x: 0.703125, y: 0.921875 },\n { x: 0.734375, y: 0.921875 },\n { x: 0.734375, y: 0.921875 },\n { x: 0.765625, y: 0.921875 },\n { x: 0.765625, y: 0.921875 },\n { x: 0.796875, y: 0.921875 },\n { x: 0.796875, y: 0.921875 },\n { x: 0.828125, y: 0.921875 },\n { x: 0.828125, y: 0.921875 },\n { x: 0.859375, y: 0.921875 },\n { x: 0.859375, y: 0.921875 },\n { x: 0.890625, y: 0.921875 },\n { x: 0.890625, y: 0.921875 },\n { x: 0.921875, y: 0.921875 },\n { x: 0.921875, y: 0.921875 },\n { x: 0.953125, y: 0.921875 },\n { x: 0.953125, y: 0.921875 },\n { x: 0.984375, y: 0.921875 },\n { x: 0.984375, y: 0.921875 },\n { x: 0.015625, y: 0.953125 },\n { x: 0.015625, y: 0.953125 },\n { x: 0.046875, y: 0.953125 },\n { x: 0.046875, y: 0.953125 },\n { x: 0.078125, y: 0.953125 },\n { x: 0.078125, y: 0.953125 },\n { x: 0.109375, y: 0.953125 },\n { x: 0.109375, y: 0.953125 },\n { x: 0.140625, y: 0.953125 },\n { x: 0.140625, y: 0.953125 },\n { x: 0.171875, y: 0.953125 },\n { x: 0.171875, y: 0.953125 },\n { x: 0.203125, y: 0.953125 },\n { x: 0.203125, y: 0.953125 },\n { x: 0.234375, y: 0.953125 },\n { x: 0.234375, y: 0.953125 },\n { x: 0.265625, y: 0.953125 },\n { x: 0.265625, y: 0.953125 },\n { x: 0.296875, y: 0.953125 },\n { x: 0.296875, y: 0.953125 },\n { x: 0.328125, y: 0.953125 },\n { x: 0.328125, y: 0.953125 },\n { x: 0.359375, y: 0.953125 },\n { x: 0.359375, y: 0.953125 },\n { x: 0.390625, y: 0.953125 },\n { x: 0.390625, y: 0.953125 },\n { x: 0.421875, y: 0.953125 },\n { x: 0.421875, y: 0.953125 },\n { x: 0.453125, y: 0.953125 },\n { x: 0.453125, y: 0.953125 },\n { x: 0.484375, y: 0.953125 },\n { x: 0.484375, y: 0.953125 },\n { x: 0.515625, y: 0.953125 },\n { x: 0.515625, y: 0.953125 },\n { x: 0.546875, y: 0.953125 },\n { x: 0.546875, y: 0.953125 },\n { x: 0.578125, y: 0.953125 },\n { x: 0.578125, y: 0.953125 },\n { x: 0.609375, y: 0.953125 },\n { x: 0.609375, y: 0.953125 },\n { x: 0.640625, y: 0.953125 },\n { x: 0.640625, y: 0.953125 },\n { x: 0.671875, y: 0.953125 },\n { x: 0.671875, y: 0.953125 },\n { x: 0.703125, y: 0.953125 },\n { x: 0.703125, y: 0.953125 },\n { x: 0.734375, y: 0.953125 },\n { x: 0.734375, y: 0.953125 },\n { x: 0.765625, y: 0.953125 },\n { x: 0.765625, y: 0.953125 },\n { x: 0.796875, y: 0.953125 },\n { x: 0.796875, y: 0.953125 },\n { x: 0.828125, y: 0.953125 },\n { x: 0.828125, y: 0.953125 },\n { x: 0.859375, y: 0.953125 },\n { x: 0.859375, y: 0.953125 },\n { x: 0.890625, y: 0.953125 },\n { x: 0.890625, y: 0.953125 },\n { x: 0.921875, y: 0.953125 },\n { x: 0.921875, y: 0.953125 },\n { x: 0.953125, y: 0.953125 },\n { x: 0.953125, y: 0.953125 },\n { x: 0.984375, y: 0.953125 },\n { x: 0.984375, y: 0.953125 },\n { x: 0.015625, y: 0.984375 },\n { x: 0.015625, y: 0.984375 },\n { x: 0.046875, y: 0.984375 },\n { x: 0.046875, y: 0.984375 },\n { x: 0.078125, y: 0.984375 },\n { x: 0.078125, y: 0.984375 },\n { x: 0.109375, y: 0.984375 },\n { x: 0.109375, y: 0.984375 },\n { x: 0.140625, y: 0.984375 },\n { x: 0.140625, y: 0.984375 },\n { x: 0.171875, y: 0.984375 },\n { x: 0.171875, y: 0.984375 },\n { x: 0.203125, y: 0.984375 },\n { x: 0.203125, y: 0.984375 },\n { x: 0.234375, y: 0.984375 },\n { x: 0.234375, y: 0.984375 },\n { x: 0.265625, y: 0.984375 },\n { x: 0.265625, y: 0.984375 },\n { x: 0.296875, y: 0.984375 },\n { x: 0.296875, y: 0.984375 },\n { x: 0.328125, y: 0.984375 },\n { x: 0.328125, y: 0.984375 },\n { x: 0.359375, y: 0.984375 },\n { x: 0.359375, y: 0.984375 },\n { x: 0.390625, y: 0.984375 },\n { x: 0.390625, y: 0.984375 },\n { x: 0.421875, y: 0.984375 },\n { x: 0.421875, y: 0.984375 },\n { x: 0.453125, y: 0.984375 },\n { x: 0.453125, y: 0.984375 },\n { x: 0.484375, y: 0.984375 },\n { x: 0.484375, y: 0.984375 },\n { x: 0.515625, y: 0.984375 },\n { x: 0.515625, y: 0.984375 },\n { x: 0.546875, y: 0.984375 },\n { x: 0.546875, y: 0.984375 },\n { x: 0.578125, y: 0.984375 },\n { x: 0.578125, y: 0.984375 },\n { x: 0.609375, y: 0.984375 },\n { x: 0.609375, y: 0.984375 },\n { x: 0.640625, y: 0.984375 },\n { x: 0.640625, y: 0.984375 },\n { x: 0.671875, y: 0.984375 },\n { x: 0.671875, y: 0.984375 },\n { x: 0.703125, y: 0.984375 },\n { x: 0.703125, y: 0.984375 },\n { x: 0.734375, y: 0.984375 },\n { x: 0.734375, y: 0.984375 },\n { x: 0.765625, y: 0.984375 },\n { x: 0.765625, y: 0.984375 },\n { x: 0.796875, y: 0.984375 },\n { x: 0.796875, y: 0.984375 },\n { x: 0.828125, y: 0.984375 },\n { x: 0.828125, y: 0.984375 },\n { x: 0.859375, y: 0.984375 },\n { x: 0.859375, y: 0.984375 },\n { x: 0.890625, y: 0.984375 },\n { x: 0.890625, y: 0.984375 },\n { x: 0.921875, y: 0.984375 },\n { x: 0.921875, y: 0.984375 },\n { x: 0.953125, y: 0.984375 },\n { x: 0.953125, y: 0.984375 },\n { x: 0.984375, y: 0.984375 },\n { x: 0.984375, y: 0.984375 },\n { x: 0.03125, y: 0.03125 },\n { x: 0.03125, y: 0.03125 },\n { x: 0.09375, y: 0.03125 },\n { x: 0.09375, y: 0.03125 },\n { x: 0.15625, y: 0.03125 },\n { x: 0.15625, y: 0.03125 },\n { x: 0.21875, y: 0.03125 },\n { x: 0.21875, y: 0.03125 },\n { x: 0.28125, y: 0.03125 },\n { x: 0.28125, y: 0.03125 },\n { x: 0.34375, y: 0.03125 },\n { x: 0.34375, y: 0.03125 },\n { x: 0.40625, y: 0.03125 },\n { x: 0.40625, y: 0.03125 },\n { x: 0.46875, y: 0.03125 },\n { x: 0.46875, y: 0.03125 },\n { x: 0.53125, y: 0.03125 },\n { x: 0.53125, y: 0.03125 },\n { x: 0.59375, y: 0.03125 },\n { x: 0.59375, y: 0.03125 },\n { x: 0.65625, y: 0.03125 },\n { x: 0.65625, y: 0.03125 },\n { x: 0.71875, y: 0.03125 },\n { x: 0.71875, y: 0.03125 },\n { x: 0.78125, y: 0.03125 },\n { x: 0.78125, y: 0.03125 },\n { x: 0.84375, y: 0.03125 },\n { x: 0.84375, y: 0.03125 },\n { x: 0.90625, y: 0.03125 },\n { x: 0.90625, y: 0.03125 },\n { x: 0.96875, y: 0.03125 },\n { x: 0.96875, y: 0.03125 },\n { x: 0.03125, y: 0.09375 },\n { x: 0.03125, y: 0.09375 },\n { x: 0.09375, y: 0.09375 },\n { x: 0.09375, y: 0.09375 },\n { x: 0.15625, y: 0.09375 },\n { x: 0.15625, y: 0.09375 },\n { x: 0.21875, y: 0.09375 },\n { x: 0.21875, y: 0.09375 },\n { x: 0.28125, y: 0.09375 },\n { x: 0.28125, y: 0.09375 },\n { x: 0.34375, y: 0.09375 },\n { x: 0.34375, y: 0.09375 },\n { x: 0.40625, y: 0.09375 },\n { x: 0.40625, y: 0.09375 },\n { x: 0.46875, y: 0.09375 },\n { x: 0.46875, y: 0.09375 },\n { x: 0.53125, y: 0.09375 },\n { x: 0.53125, y: 0.09375 },\n { x: 0.59375, y: 0.09375 },\n { x: 0.59375, y: 0.09375 },\n { x: 0.65625, y: 0.09375 },\n { x: 0.65625, y: 0.09375 },\n { x: 0.71875, y: 0.09375 },\n { x: 0.71875, y: 0.09375 },\n { x: 0.78125, y: 0.09375 },\n { x: 0.78125, y: 0.09375 },\n { x: 0.84375, y: 0.09375 },\n { x: 0.84375, y: 0.09375 },\n { x: 0.90625, y: 0.09375 },\n { x: 0.90625, y: 0.09375 },\n { x: 0.96875, y: 0.09375 },\n { x: 0.96875, y: 0.09375 },\n { x: 0.03125, y: 0.15625 },\n { x: 0.03125, y: 0.15625 },\n { x: 0.09375, y: 0.15625 },\n { x: 0.09375, y: 0.15625 },\n { x: 0.15625, y: 0.15625 },\n { x: 0.15625, y: 0.15625 },\n { x: 0.21875, y: 0.15625 },\n { x: 0.21875, y: 0.15625 },\n { x: 0.28125, y: 0.15625 },\n { x: 0.28125, y: 0.15625 },\n { x: 0.34375, y: 0.15625 },\n { x: 0.34375, y: 0.15625 },\n { x: 0.40625, y: 0.15625 },\n { x: 0.40625, y: 0.15625 },\n { x: 0.46875, y: 0.15625 },\n { x: 0.46875, y: 0.15625 },\n { x: 0.53125, y: 0.15625 },\n { x: 0.53125, y: 0.15625 },\n { x: 0.59375, y: 0.15625 },\n { x: 0.59375, y: 0.15625 },\n { x: 0.65625, y: 0.15625 },\n { x: 0.65625, y: 0.15625 },\n { x: 0.71875, y: 0.15625 },\n { x: 0.71875, y: 0.15625 },\n { x: 0.78125, y: 0.15625 },\n { x: 0.78125, y: 0.15625 },\n { x: 0.84375, y: 0.15625 },\n { x: 0.84375, y: 0.15625 },\n { x: 0.90625, y: 0.15625 },\n { x: 0.90625, y: 0.15625 },\n { x: 0.96875, y: 0.15625 },\n { x: 0.96875, y: 0.15625 },\n { x: 0.03125, y: 0.21875 },\n { x: 0.03125, y: 0.21875 },\n { x: 0.09375, y: 0.21875 },\n { x: 0.09375, y: 0.21875 },\n { x: 0.15625, y: 0.21875 },\n { x: 0.15625, y: 0.21875 },\n { x: 0.21875, y: 0.21875 },\n { x: 0.21875, y: 0.21875 },\n { x: 0.28125, y: 0.21875 },\n { x: 0.28125, y: 0.21875 },\n { x: 0.34375, y: 0.21875 },\n { x: 0.34375, y: 0.21875 },\n { x: 0.40625, y: 0.21875 },\n { x: 0.40625, y: 0.21875 },\n { x: 0.46875, y: 0.21875 },\n { x: 0.46875, y: 0.21875 },\n { x: 0.53125, y: 0.21875 },\n { x: 0.53125, y: 0.21875 },\n { x: 0.59375, y: 0.21875 },\n { x: 0.59375, y: 0.21875 },\n { x: 0.65625, y: 0.21875 },\n { x: 0.65625, y: 0.21875 },\n { x: 0.71875, y: 0.21875 },\n { x: 0.71875, y: 0.21875 },\n { x: 0.78125, y: 0.21875 },\n { x: 0.78125, y: 0.21875 },\n { x: 0.84375, y: 0.21875 },\n { x: 0.84375, y: 0.21875 },\n { x: 0.90625, y: 0.21875 },\n { x: 0.90625, y: 0.21875 },\n { x: 0.96875, y: 0.21875 },\n { x: 0.96875, y: 0.21875 },\n { x: 0.03125, y: 0.28125 },\n { x: 0.03125, y: 0.28125 },\n { x: 0.09375, y: 0.28125 },\n { x: 0.09375, y: 0.28125 },\n { x: 0.15625, y: 0.28125 },\n { x: 0.15625, y: 0.28125 },\n { x: 0.21875, y: 0.28125 },\n { x: 0.21875, y: 0.28125 },\n { x: 0.28125, y: 0.28125 },\n { x: 0.28125, y: 0.28125 },\n { x: 0.34375, y: 0.28125 },\n { x: 0.34375, y: 0.28125 },\n { x: 0.40625, y: 0.28125 },\n { x: 0.40625, y: 0.28125 },\n { x: 0.46875, y: 0.28125 },\n { x: 0.46875, y: 0.28125 },\n { x: 0.53125, y: 0.28125 },\n { x: 0.53125, y: 0.28125 },\n { x: 0.59375, y: 0.28125 },\n { x: 0.59375, y: 0.28125 },\n { x: 0.65625, y: 0.28125 },\n { x: 0.65625, y: 0.28125 },\n { x: 0.71875, y: 0.28125 },\n { x: 0.71875, y: 0.28125 },\n { x: 0.78125, y: 0.28125 },\n { x: 0.78125, y: 0.28125 },\n { x: 0.84375, y: 0.28125 },\n { x: 0.84375, y: 0.28125 },\n { x: 0.90625, y: 0.28125 },\n { x: 0.90625, y: 0.28125 },\n { x: 0.96875, y: 0.28125 },\n { x: 0.96875, y: 0.28125 },\n { x: 0.03125, y: 0.34375 },\n { x: 0.03125, y: 0.34375 },\n { x: 0.09375, y: 0.34375 },\n { x: 0.09375, y: 0.34375 },\n { x: 0.15625, y: 0.34375 },\n { x: 0.15625, y: 0.34375 },\n { x: 0.21875, y: 0.34375 },\n { x: 0.21875, y: 0.34375 },\n { x: 0.28125, y: 0.34375 },\n { x: 0.28125, y: 0.34375 },\n { x: 0.34375, y: 0.34375 },\n { x: 0.34375, y: 0.34375 },\n { x: 0.40625, y: 0.34375 },\n { x: 0.40625, y: 0.34375 },\n { x: 0.46875, y: 0.34375 },\n { x: 0.46875, y: 0.34375 },\n { x: 0.53125, y: 0.34375 },\n { x: 0.53125, y: 0.34375 },\n { x: 0.59375, y: 0.34375 },\n { x: 0.59375, y: 0.34375 },\n { x: 0.65625, y: 0.34375 },\n { x: 0.65625, y: 0.34375 },\n { x: 0.71875, y: 0.34375 },\n { x: 0.71875, y: 0.34375 },\n { x: 0.78125, y: 0.34375 },\n { x: 0.78125, y: 0.34375 },\n { x: 0.84375, y: 0.34375 },\n { x: 0.84375, y: 0.34375 },\n { x: 0.90625, y: 0.34375 },\n { x: 0.90625, y: 0.34375 },\n { x: 0.96875, y: 0.34375 },\n { x: 0.96875, y: 0.34375 },\n { x: 0.03125, y: 0.40625 },\n { x: 0.03125, y: 0.40625 },\n { x: 0.09375, y: 0.40625 },\n { x: 0.09375, y: 0.40625 },\n { x: 0.15625, y: 0.40625 },\n { x: 0.15625, y: 0.40625 },\n { x: 0.21875, y: 0.40625 },\n { x: 0.21875, y: 0.40625 },\n { x: 0.28125, y: 0.40625 },\n { x: 0.28125, y: 0.40625 },\n { x: 0.34375, y: 0.40625 },\n { x: 0.34375, y: 0.40625 },\n { x: 0.40625, y: 0.40625 },\n { x: 0.40625, y: 0.40625 },\n { x: 0.46875, y: 0.40625 },\n { x: 0.46875, y: 0.40625 },\n { x: 0.53125, y: 0.40625 },\n { x: 0.53125, y: 0.40625 },\n { x: 0.59375, y: 0.40625 },\n { x: 0.59375, y: 0.40625 },\n { x: 0.65625, y: 0.40625 },\n { x: 0.65625, y: 0.40625 },\n { x: 0.71875, y: 0.40625 },\n { x: 0.71875, y: 0.40625 },\n { x: 0.78125, y: 0.40625 },\n { x: 0.78125, y: 0.40625 },\n { x: 0.84375, y: 0.40625 },\n { x: 0.84375, y: 0.40625 },\n { x: 0.90625, y: 0.40625 },\n { x: 0.90625, y: 0.40625 },\n { x: 0.96875, y: 0.40625 },\n { x: 0.96875, y: 0.40625 },\n { x: 0.03125, y: 0.46875 },\n { x: 0.03125, y: 0.46875 },\n { x: 0.09375, y: 0.46875 },\n { x: 0.09375, y: 0.46875 },\n { x: 0.15625, y: 0.46875 },\n { x: 0.15625, y: 0.46875 },\n { x: 0.21875, y: 0.46875 },\n { x: 0.21875, y: 0.46875 },\n { x: 0.28125, y: 0.46875 },\n { x: 0.28125, y: 0.46875 },\n { x: 0.34375, y: 0.46875 },\n { x: 0.34375, y: 0.46875 },\n { x: 0.40625, y: 0.46875 },\n { x: 0.40625, y: 0.46875 },\n { x: 0.46875, y: 0.46875 },\n { x: 0.46875, y: 0.46875 },\n { x: 0.53125, y: 0.46875 },\n { x: 0.53125, y: 0.46875 },\n { x: 0.59375, y: 0.46875 },\n { x: 0.59375, y: 0.46875 },\n { x: 0.65625, y: 0.46875 },\n { x: 0.65625, y: 0.46875 },\n { x: 0.71875, y: 0.46875 },\n { x: 0.71875, y: 0.46875 },\n { x: 0.78125, y: 0.46875 },\n { x: 0.78125, y: 0.46875 },\n { x: 0.84375, y: 0.46875 },\n { x: 0.84375, y: 0.46875 },\n { x: 0.90625, y: 0.46875 },\n { x: 0.90625, y: 0.46875 },\n { x: 0.96875, y: 0.46875 },\n { x: 0.96875, y: 0.46875 },\n { x: 0.03125, y: 0.53125 },\n { x: 0.03125, y: 0.53125 },\n { x: 0.09375, y: 0.53125 },\n { x: 0.09375, y: 0.53125 },\n { x: 0.15625, y: 0.53125 },\n { x: 0.15625, y: 0.53125 },\n { x: 0.21875, y: 0.53125 },\n { x: 0.21875, y: 0.53125 },\n { x: 0.28125, y: 0.53125 },\n { x: 0.28125, y: 0.53125 },\n { x: 0.34375, y: 0.53125 },\n { x: 0.34375, y: 0.53125 },\n { x: 0.40625, y: 0.53125 },\n { x: 0.40625, y: 0.53125 },\n { x: 0.46875, y: 0.53125 },\n { x: 0.46875, y: 0.53125 },\n { x: 0.53125, y: 0.53125 },\n { x: 0.53125, y: 0.53125 },\n { x: 0.59375, y: 0.53125 },\n { x: 0.59375, y: 0.53125 },\n { x: 0.65625, y: 0.53125 },\n { x: 0.65625, y: 0.53125 },\n { x: 0.71875, y: 0.53125 },\n { x: 0.71875, y: 0.53125 },\n { x: 0.78125, y: 0.53125 },\n { x: 0.78125, y: 0.53125 },\n { x: 0.84375, y: 0.53125 },\n { x: 0.84375, y: 0.53125 },\n { x: 0.90625, y: 0.53125 },\n { x: 0.90625, y: 0.53125 },\n { x: 0.96875, y: 0.53125 },\n { x: 0.96875, y: 0.53125 },\n { x: 0.03125, y: 0.59375 },\n { x: 0.03125, y: 0.59375 },\n { x: 0.09375, y: 0.59375 },\n { x: 0.09375, y: 0.59375 },\n { x: 0.15625, y: 0.59375 },\n { x: 0.15625, y: 0.59375 },\n { x: 0.21875, y: 0.59375 },\n { x: 0.21875, y: 0.59375 },\n { x: 0.28125, y: 0.59375 },\n { x: 0.28125, y: 0.59375 },\n { x: 0.34375, y: 0.59375 },\n { x: 0.34375, y: 0.59375 },\n { x: 0.40625, y: 0.59375 },\n { x: 0.40625, y: 0.59375 },\n { x: 0.46875, y: 0.59375 },\n { x: 0.46875, y: 0.59375 },\n { x: 0.53125, y: 0.59375 },\n { x: 0.53125, y: 0.59375 },\n { x: 0.59375, y: 0.59375 },\n { x: 0.59375, y: 0.59375 },\n { x: 0.65625, y: 0.59375 },\n { x: 0.65625, y: 0.59375 },\n { x: 0.71875, y: 0.59375 },\n { x: 0.71875, y: 0.59375 },\n { x: 0.78125, y: 0.59375 },\n { x: 0.78125, y: 0.59375 },\n { x: 0.84375, y: 0.59375 },\n { x: 0.84375, y: 0.59375 },\n { x: 0.90625, y: 0.59375 },\n { x: 0.90625, y: 0.59375 },\n { x: 0.96875, y: 0.59375 },\n { x: 0.96875, y: 0.59375 },\n { x: 0.03125, y: 0.65625 },\n { x: 0.03125, y: 0.65625 },\n { x: 0.09375, y: 0.65625 },\n { x: 0.09375, y: 0.65625 },\n { x: 0.15625, y: 0.65625 },\n { x: 0.15625, y: 0.65625 },\n { x: 0.21875, y: 0.65625 },\n { x: 0.21875, y: 0.65625 },\n { x: 0.28125, y: 0.65625 },\n { x: 0.28125, y: 0.65625 },\n { x: 0.34375, y: 0.65625 },\n { x: 0.34375, y: 0.65625 },\n { x: 0.40625, y: 0.65625 },\n { x: 0.40625, y: 0.65625 },\n { x: 0.46875, y: 0.65625 },\n { x: 0.46875, y: 0.65625 },\n { x: 0.53125, y: 0.65625 },\n { x: 0.53125, y: 0.65625 },\n { x: 0.59375, y: 0.65625 },\n { x: 0.59375, y: 0.65625 },\n { x: 0.65625, y: 0.65625 },\n { x: 0.65625, y: 0.65625 },\n { x: 0.71875, y: 0.65625 },\n { x: 0.71875, y: 0.65625 },\n { x: 0.78125, y: 0.65625 },\n { x: 0.78125, y: 0.65625 },\n { x: 0.84375, y: 0.65625 },\n { x: 0.84375, y: 0.65625 },\n { x: 0.90625, y: 0.65625 },\n { x: 0.90625, y: 0.65625 },\n { x: 0.96875, y: 0.65625 },\n { x: 0.96875, y: 0.65625 },\n { x: 0.03125, y: 0.71875 },\n { x: 0.03125, y: 0.71875 },\n { x: 0.09375, y: 0.71875 },\n { x: 0.09375, y: 0.71875 },\n { x: 0.15625, y: 0.71875 },\n { x: 0.15625, y: 0.71875 },\n { x: 0.21875, y: 0.71875 },\n { x: 0.21875, y: 0.71875 },\n { x: 0.28125, y: 0.71875 },\n { x: 0.28125, y: 0.71875 },\n { x: 0.34375, y: 0.71875 },\n { x: 0.34375, y: 0.71875 },\n { x: 0.40625, y: 0.71875 },\n { x: 0.40625, y: 0.71875 },\n { x: 0.46875, y: 0.71875 },\n { x: 0.46875, y: 0.71875 },\n { x: 0.53125, y: 0.71875 },\n { x: 0.53125, y: 0.71875 },\n { x: 0.59375, y: 0.71875 },\n { x: 0.59375, y: 0.71875 },\n { x: 0.65625, y: 0.71875 },\n { x: 0.65625, y: 0.71875 },\n { x: 0.71875, y: 0.71875 },\n { x: 0.71875, y: 0.71875 },\n { x: 0.78125, y: 0.71875 },\n { x: 0.78125, y: 0.71875 },\n { x: 0.84375, y: 0.71875 },\n { x: 0.84375, y: 0.71875 },\n { x: 0.90625, y: 0.71875 },\n { x: 0.90625, y: 0.71875 },\n { x: 0.96875, y: 0.71875 },\n { x: 0.96875, y: 0.71875 },\n { x: 0.03125, y: 0.78125 },\n { x: 0.03125, y: 0.78125 },\n { x: 0.09375, y: 0.78125 },\n { x: 0.09375, y: 0.78125 },\n { x: 0.15625, y: 0.78125 },\n { x: 0.15625, y: 0.78125 },\n { x: 0.21875, y: 0.78125 },\n { x: 0.21875, y: 0.78125 },\n { x: 0.28125, y: 0.78125 },\n { x: 0.28125, y: 0.78125 },\n { x: 0.34375, y: 0.78125 },\n { x: 0.34375, y: 0.78125 },\n { x: 0.40625, y: 0.78125 },\n { x: 0.40625, y: 0.78125 },\n { x: 0.46875, y: 0.78125 },\n { x: 0.46875, y: 0.78125 },\n { x: 0.53125, y: 0.78125 },\n { x: 0.53125, y: 0.78125 },\n { x: 0.59375, y: 0.78125 },\n { x: 0.59375, y: 0.78125 },\n { x: 0.65625, y: 0.78125 },\n { x: 0.65625, y: 0.78125 },\n { x: 0.71875, y: 0.78125 },\n { x: 0.71875, y: 0.78125 },\n { x: 0.78125, y: 0.78125 },\n { x: 0.78125, y: 0.78125 },\n { x: 0.84375, y: 0.78125 },\n { x: 0.84375, y: 0.78125 },\n { x: 0.90625, y: 0.78125 },\n { x: 0.90625, y: 0.78125 },\n { x: 0.96875, y: 0.78125 },\n { x: 0.96875, y: 0.78125 },\n { x: 0.03125, y: 0.84375 },\n { x: 0.03125, y: 0.84375 },\n { x: 0.09375, y: 0.84375 },\n { x: 0.09375, y: 0.84375 },\n { x: 0.15625, y: 0.84375 },\n { x: 0.15625, y: 0.84375 },\n { x: 0.21875, y: 0.84375 },\n { x: 0.21875, y: 0.84375 },\n { x: 0.28125, y: 0.84375 },\n { x: 0.28125, y: 0.84375 },\n { x: 0.34375, y: 0.84375 },\n { x: 0.34375, y: 0.84375 },\n { x: 0.40625, y: 0.84375 },\n { x: 0.40625, y: 0.84375 },\n { x: 0.46875, y: 0.84375 },\n { x: 0.46875, y: 0.84375 },\n { x: 0.53125, y: 0.84375 },\n { x: 0.53125, y: 0.84375 },\n { x: 0.59375, y: 0.84375 },\n { x: 0.59375, y: 0.84375 },\n { x: 0.65625, y: 0.84375 },\n { x: 0.65625, y: 0.84375 },\n { x: 0.71875, y: 0.84375 },\n { x: 0.71875, y: 0.84375 },\n { x: 0.78125, y: 0.84375 },\n { x: 0.78125, y: 0.84375 },\n { x: 0.84375, y: 0.84375 },\n { x: 0.84375, y: 0.84375 },\n { x: 0.90625, y: 0.84375 },\n { x: 0.90625, y: 0.84375 },\n { x: 0.96875, y: 0.84375 },\n { x: 0.96875, y: 0.84375 },\n { x: 0.03125, y: 0.90625 },\n { x: 0.03125, y: 0.90625 },\n { x: 0.09375, y: 0.90625 },\n { x: 0.09375, y: 0.90625 },\n { x: 0.15625, y: 0.90625 },\n { x: 0.15625, y: 0.90625 },\n { x: 0.21875, y: 0.90625 },\n { x: 0.21875, y: 0.90625 },\n { x: 0.28125, y: 0.90625 },\n { x: 0.28125, y: 0.90625 },\n { x: 0.34375, y: 0.90625 },\n { x: 0.34375, y: 0.90625 },\n { x: 0.40625, y: 0.90625 },\n { x: 0.40625, y: 0.90625 },\n { x: 0.46875, y: 0.90625 },\n { x: 0.46875, y: 0.90625 },\n { x: 0.53125, y: 0.90625 },\n { x: 0.53125, y: 0.90625 },\n { x: 0.59375, y: 0.90625 },\n { x: 0.59375, y: 0.90625 },\n { x: 0.65625, y: 0.90625 },\n { x: 0.65625, y: 0.90625 },\n { x: 0.71875, y: 0.90625 },\n { x: 0.71875, y: 0.90625 },\n { x: 0.78125, y: 0.90625 },\n { x: 0.78125, y: 0.90625 },\n { x: 0.84375, y: 0.90625 },\n { x: 0.84375, y: 0.90625 },\n { x: 0.90625, y: 0.90625 },\n { x: 0.90625, y: 0.90625 },\n { x: 0.96875, y: 0.90625 },\n { x: 0.96875, y: 0.90625 },\n { x: 0.03125, y: 0.96875 },\n { x: 0.03125, y: 0.96875 },\n { x: 0.09375, y: 0.96875 },\n { x: 0.09375, y: 0.96875 },\n { x: 0.15625, y: 0.96875 },\n { x: 0.15625, y: 0.96875 },\n { x: 0.21875, y: 0.96875 },\n { x: 0.21875, y: 0.96875 },\n { x: 0.28125, y: 0.96875 },\n { x: 0.28125, y: 0.96875 },\n { x: 0.34375, y: 0.96875 },\n { x: 0.34375, y: 0.96875 },\n { x: 0.40625, y: 0.96875 },\n { x: 0.40625, y: 0.96875 },\n { x: 0.46875, y: 0.96875 },\n { x: 0.46875, y: 0.96875 },\n { x: 0.53125, y: 0.96875 },\n { x: 0.53125, y: 0.96875 },\n { x: 0.59375, y: 0.96875 },\n { x: 0.59375, y: 0.96875 },\n { x: 0.65625, y: 0.96875 },\n { x: 0.65625, y: 0.96875 },\n { x: 0.71875, y: 0.96875 },\n { x: 0.71875, y: 0.96875 },\n { x: 0.78125, y: 0.96875 },\n { x: 0.78125, y: 0.96875 },\n { x: 0.84375, y: 0.96875 },\n { x: 0.84375, y: 0.96875 },\n { x: 0.90625, y: 0.96875 },\n { x: 0.90625, y: 0.96875 },\n { x: 0.96875, y: 0.96875 },\n { x: 0.96875, y: 0.96875 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n];\n", "/**\n * HandPose model implementation\n * See `handpose.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as util from './handposeutil';\nimport * as anchors from './handposeanchors';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, Tensor1D, Tensor2D, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Point } from '../result';\nimport type { Config } from '../config';\n\nexport class HandDetector {\n model: GraphModel;\n anchors: number[][];\n anchorsTensor: Tensor;\n inputSize: number;\n inputSizeTensor: Tensor;\n doubleInputSizeTensor: Tensor;\n\n constructor(model: GraphModel) {\n this.model = model;\n this.anchors = anchors.anchors.map((anchor) => [anchor.x, anchor.y]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSize = this?.model?.inputs?.[0]?.shape?.[2] || 0;\n this.inputSizeTensor = tf.tensor1d([this.inputSize, this.inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([this.inputSize * 2, this.inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n const t: Record = {};\n t.boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n t.boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n t.div = tf.div(t.boxOffsets, this.inputSizeTensor);\n t.boxCenterPoints = tf.add(t.div, this.anchorsTensor);\n t.halfBoxSizes = tf.div(t.boxSizes, this.doubleInputSizeTensor);\n t.sub = tf.sub(t.boxCenterPoints, t.halfBoxSizes);\n t.startPoints = tf.mul(t.sub, this.inputSizeTensor);\n t.add = tf.add(t.boxCenterPoints, t.halfBoxSizes);\n t.endPoints = tf.mul(t.add, this.inputSizeTensor);\n const res = tf.concat2d([t.startPoints as Tensor2D, t.endPoints as Tensor2D], 1);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return res as Tensor;\n }\n\n normalizeLandmarks(rawPalmLandmarks, index: number): Tensor {\n const t: Record = {};\n t.reshape = tf.reshape(rawPalmLandmarks, [-1, 7, 2]);\n t.div = tf.div(t.reshape, this.inputSizeTensor);\n t.landmarks = tf.add(t.div, this.anchors[index] ? this.anchors[index] : 0);\n const res = tf.mul(t.landmarks, this.inputSizeTensor);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return res;\n }\n\n async predict(input: Tensor4D, config: Config): Promise<{ startPoint: Point; endPoint: Point, palmLandmarks: Point[]; confidence: number }[]> {\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [this.inputSize, this.inputSize]);\n t.div = tf.div(t.resize, constants.tf127);\n t.image = tf.sub(t.div, constants.tf1);\n t.batched = this.model.execute(t.image) as Tensor;\n t.predictions = tf.squeeze(t.batched);\n t.slice = tf.slice(t.predictions, [0, 0], [-1, 1]);\n t.sigmoid = tf.sigmoid(t.slice);\n t.scores = tf.squeeze(t.sigmoid);\n const scores = await t.scores.data();\n t.boxes = tf.slice(t.predictions, [0, 1], [-1, 4]);\n t.norm = this.normalizeBoxes(t.boxes);\n // box detection is flaky so we look for 3x boxes than we need results\n t.nms = await tf.image.nonMaxSuppressionAsync(t.norm as Tensor2D, t.scores as Tensor1D, 3 * (config.hand?.maxDetected || 1), config.hand.iouThreshold, config.hand.minConfidence);\n const nms = await t.nms.array() as number[];\n const hands: { startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number }[] = [];\n for (const index of nms) {\n const p: Record = {};\n p.box = tf.slice(t.norm, [index, 0], [1, -1]);\n p.slice = tf.slice(t.predictions, [index, 5], [1, 14]);\n p.norm = this.normalizeLandmarks(p.slice, index);\n p.palmLandmarks = tf.reshape(p.norm, [-1, 2]);\n const box = await p.box.data();\n const startPoint = box.slice(0, 2) as unknown as Point;\n const endPoint = box.slice(2, 4) as unknown as Point;\n const palmLandmarks = await p.palmLandmarks.array();\n const hand = { startPoint, endPoint, palmLandmarks, confidence: scores[index] };\n const scaled = util.scaleBoxCoordinates(hand, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]);\n hands.push(scaled);\n Object.keys(p).forEach((tensor) => tf.dispose(p[tensor]));\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return hands;\n }\n}\n", "/**\n * HandPose model implementation\n * See `handpose.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as util from './handposeutil';\nimport type * as detector from './handposedetector';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { now } from '../util/util';\nimport type { Point } from '../result';\n\nconst palmBoxEnlargeFactor = 5; // default 3\nconst handBoxEnlargeFactor = 1.65; // default 1.65\nconst palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2];\nconst palmLandmarksPalmBase = 0;\nconst palmLandmarksMiddleFingerBase = 2;\nlet lastTime = 0;\n\nexport class HandPipeline {\n handDetector: detector.HandDetector;\n handPoseModel: GraphModel;\n inputSize: number;\n storedBoxes: ({ startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number } | null)[];\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, handPoseModel) {\n this.handDetector = handDetector;\n this.handPoseModel = handPoseModel;\n this.inputSize = this.handPoseModel?.inputs?.[0].shape?.[2] || 0;\n this.storedBoxes = [];\n this.skipped = Number.MAX_SAFE_INTEGER;\n this.detectedHands = 0;\n }\n\n calculateLandmarksBoundingBox(landmarks) { // eslint-disable-line class-methods-use-this\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n return util.enlargeBox(util.squarifyBox(boxAroundPalm), palmBoxEnlargeFactor);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n const boxAroundHand = util.enlargeBox(util.squarifyBox(boundingBox), handBoxEnlargeFactor);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < palmLandmarkIds.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = util.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...util.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n Math.trunc(coord[0] + originalBoxCenter[0]),\n Math.trunc(coord[1] + originalBoxCenter[1]),\n Math.trunc(coord[2]),\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames\n let boxes;\n const skipTime = (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrame = this.skipped < (config.hand.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n boxes = await this.handDetector.predict(image, config);\n this.skipped = 0;\n }\n if (config.skipAllowed) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxDetected) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: { landmarks: Point[], confidence: number, boxConfidence: number, fingerConfidence: number, box: { topLeft: Point, bottomRight: Point } }[] = [];\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0;\n const palmCenter = util.getBoxCenter(currentBox);\n const palmCenterNormalized: [number, number] = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation && env.kernels.includes('rotatewithoffset') ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = util.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = tf.div(croppedInput, constants.tf255);\n tf.dispose(croppedInput);\n tf.dispose(rotatedImage);\n const [confidenceT, keypoints] = this.handPoseModel.execute(handImage) as Tensor[];\n lastTime = now();\n tf.dispose(handImage);\n const confidence = (await confidenceT.data())[0];\n tf.dispose(confidenceT);\n if (confidence >= config.hand.minConfidence / 4) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = await keypointsReshaped.array();\n tf.dispose(keypoints);\n tf.dispose(keypointsReshaped);\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = { ...nextBoundingBox, confidence };\n const result = {\n landmarks: coords,\n confidence,\n boxConfidence: currentBox.confidence,\n fingerConfidence: confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n tf.dispose(keypoints);\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), handBoxEnlargeFactor);\n const enlarged = util.enlargeBox(util.squarifyBox(currentBox), handBoxEnlargeFactor);\n const result = {\n confidence: currentBox.confidence,\n boxConfidence: currentBox.confidence,\n fingerConfidence: 0,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n landmarks: [],\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n if (hands.length > config.hand.maxDetected) hands.length = config.hand.maxDetected;\n return hands;\n }\n}\n", "/**\n * HandPose model implementation\n *\n * Based on: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n */\n\nimport { log } from '../util/util';\nimport * as handdetector from './handposedetector';\nimport * as handpipeline from './handposepipeline';\nimport * as fingerPose from './fingerpose';\nimport { loadModel } from '../tfjs/load';\nimport type { HandResult, Box, Point } from '../result';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nconst meshAnnotations = {\n thumb: [1, 2, 3, 4],\n index: [5, 6, 7, 8],\n middle: [9, 10, 11, 12],\n ring: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palm: [0],\n};\n\nlet handDetectorModel: GraphModel | null;\nlet handPoseModel: GraphModel | null;\nlet handPipeline: handpipeline.HandPipeline;\n\nexport async function predict(input: Tensor, config: Config): Promise {\n const predictions = await handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: HandResult[] = [];\n for (let i = 0; i < predictions.length; i++) {\n const annotations = {};\n if (predictions[i].landmarks) {\n for (const key of Object.keys(meshAnnotations)) {\n annotations[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);\n }\n }\n const keypoints = predictions[i].landmarks as unknown as Point[];\n let box: Box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; // maximums so conditionals work\n let boxRaw: Box = [0, 0, 0, 0];\n if (keypoints && keypoints.length > 0) { // if we have landmarks, calculate box based on landmarks\n for (const pt of keypoints) {\n if (pt[0] < box[0]) box[0] = pt[0];\n if (pt[1] < box[1]) box[1] = pt[1];\n if (pt[0] > box[2]) box[2] = pt[0];\n if (pt[1] > box[3]) box[3] = pt[1];\n }\n box[2] -= box[0];\n box[3] -= box[1];\n boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)];\n } else { // otherwise use box from prediction\n box = predictions[i].box ? [\n Math.trunc(Math.max(0, predictions[i].box.topLeft[0])),\n Math.trunc(Math.max(0, predictions[i].box.topLeft[1])),\n Math.trunc(Math.min((input.shape[2] || 0), predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])),\n Math.trunc(Math.min((input.shape[1] || 0), predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])),\n ] : [0, 0, 0, 0];\n boxRaw = [\n (predictions[i].box.topLeft[0]) / (input.shape[2] || 0),\n (predictions[i].box.topLeft[1]) / (input.shape[1] || 0),\n (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0),\n (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0),\n ];\n }\n const landmarks = fingerPose.analyze(keypoints);\n hands.push({\n id: i,\n score: Math.round(100 * predictions[i].confidence) / 100,\n boxScore: Math.round(100 * predictions[i].boxConfidence) / 100,\n fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100,\n label: 'hand',\n box,\n boxRaw,\n keypoints,\n annotations: annotations as HandResult['annotations'],\n landmarks: landmarks as HandResult['landmarks'],\n });\n }\n return hands;\n}\n\nexport async function load(config: Config): Promise<[GraphModel | null, GraphModel | null]> {\n if (env.initial) {\n handDetectorModel = null;\n handPoseModel = null;\n }\n if (!handDetectorModel || !handPoseModel) {\n [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? loadModel(config.hand.detector?.modelPath) : null,\n config.hand.landmarks ? loadModel(config.hand.skeleton?.modelPath) : null,\n ]);\n } else {\n if (config.debug) log('cached model:', handDetectorModel['modelUrl']);\n if (config.debug) log('cached model:', handPoseModel['modelUrl']);\n }\n const handDetector = handDetectorModel ? new handdetector.HandDetector(handDetectorModel) : undefined;\n if (handDetector && handPoseModel) handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel);\n return [handDetectorModel, handPoseModel];\n}\n", "/**\n * HandTrack model implementation\n *\n * Based on:\n * - Hand Detection & Skeleton: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n * - Hand Tracking: [**HandTracking**](https://github.com/victordibia/handtracking)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport * as box from '../util/box';\nimport { loadModel } from '../tfjs/load';\nimport type { HandResult, HandType, Box, Point } from '../result';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as fingerPose from './fingerpose';\nimport { fakeOps } from '../tfjs/backend';\nimport { constants } from '../tfjs/constants';\n\nconst models: [GraphModel | null, GraphModel | null] = [null, null];\nconst modelOutputNodes = ['StatefulPartitionedCall/Postprocessor/Slice', 'StatefulPartitionedCall/Postprocessor/ExpandDims_1'];\n\nconst inputSize = [[0, 0], [0, 0]];\n\nconst classes = ['hand', 'fist', 'pinch', 'point', 'face', 'tip', 'pinchtip'];\nconst faceIndex = 4;\n\nconst boxExpandFact = 1.6;\nconst maxDetectorResolution = 512;\nconst detectorExpandFact = 1.4;\n\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastTime = 0;\nlet outputSize: [number, number] = [0, 0];\n\ninterface HandDetectResult {\n id: number,\n score: number,\n box: Box,\n boxRaw: Box,\n label: HandType,\n}\n\nconst cache: {\n boxes: HandDetectResult[],\n hands: HandResult[];\n} = {\n boxes: [],\n hands: [],\n};\n\nconst fingerMap = {\n /*\n thumb: [0, 1, 2, 3, 4],\n index: [0, 5, 6, 7, 8],\n middle: [0, 9, 10, 11, 12],\n ring: [0, 13, 14, 15, 16],\n pinky: [0, 17, 18, 19, 20],\n palm: [0],\n */\n thumb: [1, 2, 3, 4],\n index: [5, 6, 7, 8],\n middle: [9, 10, 11, 12],\n ring: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n base: [0],\n palm: [0, 17, 13, 9, 5, 1, 0],\n};\n\nexport async function loadDetect(config: Config): Promise {\n // HandTrack Model: Original: TFJS Port: \n if (env.initial) models[0] = null;\n if (!models[0]) {\n // handtrack model has some kernel ops defined in model but those are never referenced and non-existent in tfjs\n // ideally need to prune the model itself\n fakeOps(['tensorlistreserve', 'enter', 'tensorlistfromtensor', 'merge', 'loopcond', 'switch', 'exit', 'tensorliststack', 'nextiteration', 'tensorlistsetitem', 'tensorlistgetitem', 'reciprocal', 'shape', 'split', 'where'], config);\n models[0] = await loadModel(config.hand.detector?.modelPath);\n const inputs = models[0]['executor'] ? Object.values(models[0].modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', models[0]['modelUrl']);\n return models[0];\n}\n\nexport async function loadSkeleton(config: Config): Promise {\n if (env.initial) models[1] = null;\n if (!models[1]) {\n models[1] = await loadModel(config.hand.skeleton?.modelPath);\n const inputs = models[1]['executor'] ? Object.values(models[1].modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', models[1]['modelUrl']);\n return models[1];\n}\n\nexport async function load(config: Config): Promise<[GraphModel | null, GraphModel | null]> {\n if (!models[0]) await loadDetect(config);\n if (!models[1]) await loadSkeleton(config);\n return models;\n}\n\nasync function detectHands(input: Tensor4D, config: Config): Promise {\n const hands: HandDetectResult[] = [];\n if (!input || !models[0]) return hands;\n const t: Record = {};\n const ratio = (input.shape[2] || 1) / (input.shape[1] || 1);\n const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); // use dynamic input size but cap at 512\n const width = Math.round(height * ratio / 8) * 8;\n t.resize = tf.image.resizeBilinear(input, [height, width]); // todo: resize with padding\n t.cast = tf.cast(t.resize, 'int32');\n [t.rawScores, t.rawBoxes] = await models[0].executeAsync(t.cast, modelOutputNodes) as Tensor[];\n t.boxes = tf.squeeze(t.rawBoxes, [0, 2]);\n t.scores = tf.squeeze(t.rawScores, [0]);\n const classScores: Tensor[] = tf.unstack(t.scores, 1); // unstack scores based on classes\n tf.dispose(classScores[faceIndex]);\n classScores.splice(faceIndex, 1); // remove faces\n t.filtered = tf.stack(classScores, 1); // restack\n tf.dispose(classScores);\n // t.filtered = t.scores;\n t.max = tf.max(t.filtered, 1); // max overall score\n t.argmax = tf.argMax(t.filtered, 1); // class index of max overall score\n let id = 0;\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.max as Tensor1D, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);\n const nms = await t.nms.data();\n const scores = await t.max.data();\n const classNum = await t.argmax.data();\n for (const nmsIndex of Array.from(nms)) { // generates results for each class\n const boxSlice = tf.slice(t.boxes, nmsIndex, 1);\n const boxYX = await boxSlice.data();\n tf.dispose(boxSlice);\n const boxData: Box = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; // yx box reshaped to standard box\n const boxRaw: Box = box.scale(boxData, detectorExpandFact);\n const boxFull: Box = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])];\n const score = scores[nmsIndex];\n const label = classes[classNum[nmsIndex]] as HandType;\n const hand: HandDetectResult = { id: id++, score, box: boxFull, boxRaw, label };\n hands.push(hand);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n hands.sort((a, b) => b.score - a.score);\n if (hands.length > (config.hand.maxDetected || 1)) hands.length = (config.hand.maxDetected || 1);\n return hands;\n}\n\nasync function detectFingers(input: Tensor4D, h: HandDetectResult, config: Config): Promise {\n const hand: HandResult = { // initial values inherited from hand detect\n id: h.id,\n score: Math.round(100 * h.score) / 100,\n boxScore: Math.round(100 * h.score) / 100,\n fingerScore: 0,\n box: h.box,\n boxRaw: h.boxRaw,\n label: h.label,\n keypoints: [],\n landmarks: {} as HandResult['landmarks'],\n annotations: {} as HandResult['annotations'],\n };\n if (input && models[1] && config.hand.landmarks && h.score > (config.hand.minConfidence || 0)) {\n const t: Record = {};\n const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]] as Box;\n t.crop = tf.image.cropAndResize(input, [boxCrop], [0], [inputSize[1][0], inputSize[1][1]], 'bilinear');\n t.div = tf.div(t.crop, constants.tf255);\n [t.score, t.keypoints] = models[1].execute(t.div, ['Identity_1', 'Identity']) as Tensor[];\n const rawScore = (await t.score.data())[0];\n const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; // reverse sigmoid value\n if (score >= (config.hand.minConfidence || 0)) {\n hand.fingerScore = score;\n t.reshaped = tf.reshape(t.keypoints, [-1, 3]);\n const coordsData: Point[] = await t.reshaped.array() as Point[];\n const coordsRaw: Point[] = coordsData.map((kpt) => [kpt[0] / inputSize[1][1], kpt[1] / inputSize[1][0], (kpt[2] || 0)]);\n const coordsNorm: Point[] = coordsRaw.map((kpt) => [kpt[0] * h.boxRaw[2], kpt[1] * h.boxRaw[3], (kpt[2] || 0)]);\n hand.keypoints = (coordsNorm).map((kpt) => [outputSize[0] * (kpt[0] + h.boxRaw[0]), outputSize[1] * (kpt[1] + h.boxRaw[1]), (kpt[2] || 0)]);\n hand.landmarks = fingerPose.analyze(hand.keypoints) as HandResult['landmarks']; // calculate finger gestures\n for (const key of Object.keys(fingerMap)) { // map keypoints to per-finger annotations\n hand.annotations[key] = fingerMap[key].map((index: number) => (hand.landmarks && hand.keypoints[index] ? hand.keypoints[index] : null));\n }\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n return hand;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!models[0]?.['executor'] || !models[1]?.['executor'] || !models[0].inputs[0].shape || !models[1].inputs[0].shape) return []; // something is wrong with the model\n outputSize = [input.shape[2] || 0, input.shape[1] || 0];\n skipped++; // increment skip frames\n const skipTime = (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.hand.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n return cache.hands; // return cached results without running anything\n }\n return new Promise(async (resolve) => {\n const skipTimeExtended = 3 * (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrameExtended = skipped < 3 * (config.hand.skipFrames || 0);\n if (config.skipAllowed && cache.hands.length === config.hand.maxDetected) { // we have all detected hands so we're definitely skipping\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n } else if (config.skipAllowed && skipTimeExtended && skipFrameExtended && cache.hands.length > 0) { // we have some cached results: maybe not enough but anyhow continue for bit longer\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n } else { // finally rerun detector\n cache.boxes = await detectHands(input, config);\n lastTime = now();\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n skipped = 0;\n }\n\n const oldCache = [...cache.boxes];\n cache.boxes.length = 0; // reset cache\n if (config.cacheSensitivity > 0) {\n for (let i = 0; i < cache.hands.length; i++) {\n const boxKpt = box.square(cache.hands[i].keypoints, outputSize);\n if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache.hands[i].fingerScore && cache.hands[i].fingerScore > (config.hand.minConfidence || 0)) {\n const boxScale = box.scale(boxKpt.box, boxExpandFact);\n const boxScaleRaw = box.scale(boxKpt.boxRaw, boxExpandFact);\n // const boxCrop = box.crop(boxScaleRaw);\n cache.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw });\n }\n }\n }\n for (let i = 0; i < cache.hands.length; i++) { // replace detected boxes with calculated boxes in final output\n const bbox = box.calc(cache.hands[i].keypoints, outputSize);\n cache.hands[i].box = bbox.box;\n cache.hands[i].boxRaw = bbox.boxRaw;\n }\n resolve(cache.hands);\n });\n}\n", "/**\n * Type definitions for Human result object\n */\n\nimport type { Tensor } from './tfjs/types';\nimport type { FaceGesture, BodyGesture, HandGesture, IrisGesture } from './gesture/gesture';\nimport type { AnyCanvas } from './exports';\n\n/** generic box as [x, y, width, height] */\nexport type Box = [number, number, number, number];\n/** generic point as [x, y, z?] */\nexport type Point = [number, number, number?];\n\nexport type Emotion = 'angry' | 'disgust' | 'fear' | 'happy' | 'sad' | 'surprise' | 'neutral';\nexport type Gender = 'male' | 'female' | 'unknown';\nexport type Race = 'white' | 'black' | 'asian' | 'indian' | 'other';\nexport type FaceLandmark = 'leftEye' | 'rightEye' | 'nose' | 'mouth' | 'leftEar' | 'rightEar' | 'symmetryLine' | 'silhouette'\n | 'lipsUpperOuter' | 'lipsLowerOuter' | 'lipsUpperInner' | 'lipsLowerInner'\n | 'rightEyeUpper0' | 'rightEyeLower0' | 'rightEyeUpper1' | 'rightEyeLower1' | 'rightEyeUpper2' | 'rightEyeLower2' | 'rightEyeLower3' | 'rightEyebrowUpper' | 'rightEyebrowLower' | 'rightEyeIris'\n | 'leftEyeUpper0' | 'leftEyeLower0' | 'leftEyeUpper1' | 'leftEyeLower1' | 'leftEyeUpper2' | 'leftEyeLower2' | 'leftEyeLower3' | 'leftEyebrowUpper' | 'leftEyebrowLower' | 'leftEyeIris'\n | 'midwayBetweenEyes' | 'noseTip' | 'noseBottom' | 'noseRightCorner' | 'noseLeftCorner' | 'rightCheek' | 'leftCheek';\n\n/** Face results\n * - Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models\n * - Some values may be null if specific model is not enabled\n */\nexport interface FaceResult {\n /** face id */\n id: number\n /** overall face score */\n score: number,\n /** detection score */\n boxScore: number,\n /** mesh score */\n faceScore: number,\n /** detected face box */\n box: Box,\n /** detected face box normalized to 0..1 */\n boxRaw: Box,\n /** detected face box size */\n size: [number, number],\n /** detected face mesh */\n mesh: Point[]\n /** detected face mesh normalized to 0..1 */\n meshRaw: Point[],\n /** face contours as array of 2d points normalized to 0..1 */\n // contoursRaw: Array<[number, number]>,\n /** face contours as array of 2d points */\n // contours: Array<[number, number]>,\n /** mesh keypoints combined into annotated results */\n annotations: Record,\n /** detected age */\n age?: number,\n /** detected gender */\n gender?: Gender,\n /** gender detection score */\n genderScore?: number,\n /** detected emotions */\n emotion?: { score: number, emotion: Emotion }[],\n /** detected race */\n race?: { score: number, race: Race }[],\n /** face descriptor */\n embedding?: number[],\n /** face distance from camera */\n distance?: number,\n /** face anti-spoofing result confidence */\n real?: number,\n /** face liveness result confidence */\n live?: number,\n /** face rotation details */\n rotation?: {\n angle: { roll: number, yaw: number, pitch: number },\n matrix: [number, number, number, number, number, number, number, number, number],\n gaze: { bearing: number, strength: number },\n } | null,\n /** detected face as tensor that can be used in further pipelines */\n tensor?: Tensor,\n}\n\nexport type BodyLandmarkPoseNet = 'nose' | 'leftEye' | 'rightEye' | 'leftEar' | 'rightEar' | 'leftShoulder' | 'rightShoulder' | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle';\nexport type BodyLandmarkMoveNet = 'nose' | 'leftEye' | 'rightEye' | 'leftEar' | 'rightEar' | 'leftShoulder' | 'rightShoulder' | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle';\nexport type BodyLandmarkEfficientNet = 'head' | 'neck' | 'rightShoulder' | 'rightElbow' | 'rightWrist' | 'chest' | 'leftShoulder' | 'leftElbow' | 'leftWrist' | 'bodyCenter' | 'rightHip' | 'rightKnee' | 'rightAnkle' | 'leftHip' | 'leftKnee' | 'leftAnkle';\nexport type BodyLandmarkBlazePose = 'nose' | 'leftEyeInside' | 'leftEye' | 'leftEyeOutside' | 'rightEyeInside' | 'rightEye' | 'rightEyeOutside' | 'leftEar' | 'rightEar' | 'leftMouth' | 'rightMouth' | 'leftShoulder' | 'rightShoulder'\n | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftPinky' | 'rightPinky' | 'leftIndex' | 'rightIndex' | 'leftThumb' | 'rightThumb' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle'\n | 'leftHeel' | 'rightHeel' | 'leftFoot' | 'rightFoot' | 'bodyCenter' | 'bodyTop' | 'leftPalm' | 'leftHand' | 'rightPalm' | 'rightHand';\nexport type BodyLandmark = BodyLandmarkPoseNet | BodyLandmarkMoveNet | BodyLandmarkEfficientNet | BodyLandmarkBlazePose;\nexport type BodyAnnotationBlazePose = 'leftLeg' | 'rightLeg' | 'torso' | 'leftArm' | 'rightArm' | 'leftEye' | 'rightEye' | 'mouth';\nexport type BodyAnnotationEfficientPose = 'leftLeg' | 'rightLeg' | 'torso' | 'leftArm' | 'rightArm' | 'head';\nexport type BodyAnnotation = BodyAnnotationBlazePose | BodyAnnotationEfficientPose;\n\n/** Body Result keypoints */\nexport interface BodyKeypoint {\n /** body part name */\n part: BodyLandmark,\n /** body part position */\n position: Point,\n /** body part position normalized to 0..1 */\n positionRaw: Point,\n /** body part position relative to body center in meters */\n distance?: Point,\n /** body part detection score */\n score: number,\n}\n\n/** Body results */\nexport interface BodyResult {\n /** body id */\n id: number,\n /** body detection score */\n score: number,\n /** detected body box */\n box: Box,\n /** detected body box normalized to 0..1 */\n boxRaw: Box,\n /** detected body keypoints */\n keypoints: BodyKeypoint[]\n /** detected body keypoints combined into annotated parts */\n annotations: Record,\n}\n\nexport type HandType = 'hand' | 'fist' | 'pinch' | 'point' | 'face' | 'tip' | 'pinchtip';\nexport type Finger = 'index' | 'middle' | 'pinky' | 'ring' | 'thumb' | 'palm';\nexport type FingerCurl = 'none' | 'half' | 'full';\nexport type FingerDirection = 'verticalUp' | 'verticalDown' | 'horizontalLeft' | 'horizontalRight' | 'diagonalUpRight' | 'diagonalUpLeft' | 'diagonalDownRight' | 'diagonalDownLeft';\n\n/** Hand results */\nexport interface HandResult {\n /** hand id */\n id: number,\n /** hand overal score */\n score: number,\n /** hand detection score */\n boxScore: number,\n /** hand skelton score */\n fingerScore: number,\n /** detected hand box */\n box: Box,\n /** detected hand box normalized to 0..1 */\n boxRaw: Box,\n /** detected hand keypoints */\n keypoints: Point[],\n /** detected hand class */\n label: HandType,\n /** detected hand keypoints combined into annotated parts */\n annotations: Record,\n /** detected hand parts annotated with part gestures */\n landmarks: Record,\n}\n\nexport type ObjectType = 'person' | 'bicycle' | 'car' | 'motorcycle' | 'airplane' | 'bus' | 'train' | 'truck' | 'boat' | 'traffic light' | 'fire hydrant' | 'stop sign' | 'parking meter'\n | 'bench' | 'bird' | 'cat' | 'dog' | 'horse' | 'sheep' | 'cow' | 'elephant' | 'bear' | 'zebra' | 'giraffe' | 'backpack' | 'umbrella' | 'handbag' | 'tie' | 'suitcase' | 'frisbee'\n | 'skis' | 'snowboard' | 'sports ball' | 'kite' | 'baseball bat' | 'baseball glove' | 'skateboard' | 'surfboard' | 'tennis racket' | 'bottle' | 'wine glass' | 'cup' | 'fork'\n | 'knife' | 'spoon' | 'bowl' | 'banana' | 'apple' | 'sandwich' | 'orange' | 'broccoli' | 'carrot' | 'hot dog' | 'pizza' | 'donut' | 'cake' | 'chair' | 'couch' | 'potted plant'\n | 'bed' | 'dining table' | 'toilet' | 'tv' | 'laptop' | 'mouse' | 'remote' | 'keyboard' | 'cell phone' | 'microwave' | 'oven' | 'toaster' | 'sink' | 'refrigerator' | 'book'\n | 'clock' | 'vase' | 'scissors' | 'teddy bear' | 'hair drier' | 'toothbrush';\n\n/** Object results */\nexport interface ObjectResult {\n /** object id */\n id: number,\n /** object detection score */\n score: number,\n /** detected object class id */\n class: number,\n /** detected object class name */\n label: ObjectType,\n /** detected object box */\n box: Box,\n /** detected object box normalized to 0..1 */\n boxRaw: Box,\n}\n\n/** Gesture combined results\n * Each result has:\n * - part: part name and number where gesture was detected: `face`, `iris`, `body`, `hand`\n * - gesture: gesture detected\n */\nexport type GestureResult =\n { 'face': number, gesture: FaceGesture }\n | { 'iris': number, gesture: IrisGesture }\n | { 'body': number, gesture: BodyGesture }\n | { 'hand': number, gesture: HandGesture }\n\n/** Person getter\n* - Triggers combining all individual results into a virtual person object\n*/\nexport interface PersonResult {\n /** person id */\n id: number,\n /** face result that belongs to this person */\n face: FaceResult,\n /** body result that belongs to this person */\n body: BodyResult | null,\n /** left and right hand results that belong to this person */\n hands: { left: HandResult | null, right: HandResult | null },\n /** detected gestures specific to this person */\n gestures: GestureResult[],\n /** box that defines the person */\n box: Box,\n /** box that defines the person normalized to 0..1 */\n boxRaw?: Box,\n}\n\n/**\n * Result interface definition for **Human** library\n *\n * Contains all possible detection results\n */\nexport interface Result {\n /** {@link FaceResult}: detection & analysis results */\n face: FaceResult[],\n /** {@link BodyResult}: detection & analysis results */\n body: BodyResult[],\n /** {@link HandResult}: detection & analysis results */\n hand: HandResult[],\n /** {@link GestureResult}: detection & analysis results */\n gesture: GestureResult[],\n /** {@link ObjectResult}: detection & analysis results */\n object: ObjectResult[]\n /** global performance object with timing values for each operation */\n performance: Record,\n /** optional processed canvas that can be used to draw input on screen */\n canvas?: AnyCanvas | null,\n /** timestamp of detection representing the milliseconds elapsed since the UNIX epoch */\n readonly timestamp: number,\n /** getter property that returns unified persons object */\n persons: PersonResult[],\n /** Last known error message */\n error: string | null;\n /** Resolution width */\n width: number,\n /** Resolution height */\n height: number,\n}\n\nexport const empty = (error: string | null = null): Result => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error });\n", "export const kpt: string[] = [ // used to create part labels\n 'nose',\n 'leftEye',\n 'rightEye',\n 'leftEar',\n 'rightEar',\n 'leftShoulder',\n 'rightShoulder',\n 'leftElbow',\n 'rightElbow',\n 'leftWrist',\n 'rightWrist',\n 'leftHip',\n 'rightHip',\n 'leftKnee',\n 'rightKnee',\n 'leftAnkle',\n 'rightAnkle',\n];\n\nexport const horizontal: string[][] = [ // used to fix left vs right\n ['leftEye', 'rightEye'],\n ['leftEar', 'rightEar'],\n ['leftShoulder', 'rightShoulder'],\n ['leftElbow', 'rightElbow'],\n ['leftWrist', 'rightWrist'],\n ['leftHip', 'rightHip'],\n ['leftKnee', 'rightKnee'],\n ['leftAnkle', 'rightAnkle'],\n];\n\nexport const vertical: string[][] = [ // used to remove unlikely keypoint positions\n ['leftKnee', 'leftShoulder'],\n ['rightKnee', 'rightShoulder'],\n ['leftAnkle', 'leftKnee'],\n ['rightAnkle', 'rightKnee'],\n];\n\nexport const relative: string[][][] = [ // used to match relative body parts\n [['leftHip', 'rightHip'], ['leftShoulder', 'rightShoulder']],\n [['leftElbow', 'rightElbow'], ['leftShoulder', 'rightShoulder']],\n];\n\nexport const connected: Record = { // used to create body outline in annotations\n leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],\n rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],\n torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],\n rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],\n head: [],\n};\n", "/**\n * Results interpolation for smoothening of video detection results inbetween detected frames\n */\n\nimport { Result, FaceResult, BodyResult, HandResult, ObjectResult, PersonResult, Box, Point, BodyLandmark, BodyAnnotation, empty, FaceLandmark } from '../result';\nimport type { Config } from '../config';\n\nimport * as moveNetCoords from '../body/movenetcoords';\nimport * as blazePoseCoords from '../body/blazeposecoords';\nimport * as efficientPoseCoords from '../body/efficientposecoords';\nimport { now } from './util';\nimport { env } from './env';\n\nconst bufferedResult: Result = empty();\nlet interpolateTime = 0;\n\nexport function calc(newResult: Result, config: Config): Result {\n const t0 = now();\n if (!newResult) return empty();\n // each record is only updated using deep clone when number of detected record changes, otherwise it will converge by itself\n // otherwise bufferedResult is a shallow clone of result plus updated local calculated values\n // thus mixing by-reference and by-value assignments to minimize memory operations\n\n const elapsed = Date.now() - newResult.timestamp;\n\n /* curve fitted: buffer = 8 - ln(delay)\n interpolation formula: current = ((buffer - 1) * previous + live) / buffer\n - at 50ms delay buffer = ~4.1 => 28% towards live data\n - at 250ms delay buffer = ~2.5 => 40% towards live data\n - at 500ms delay buffer = ~1.8 => 55% towards live data\n - at 750ms delay buffer = ~1.4 => 71% towards live data\n - at 1sec delay buffer = 1 which means live data is used\n */\n const bufferedFactor = elapsed < 1000 ? 8 - Math.log(elapsed + 1) : 1;\n\n if (newResult.canvas) bufferedResult.canvas = newResult.canvas;\n if (newResult.error) bufferedResult.error = newResult.error;\n\n // interpolate body results\n if (!bufferedResult.body || (newResult.body.length !== bufferedResult.body.length)) {\n bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)) as BodyResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.body.length; i++) {\n const box = newResult.body[i].box // update box\n .map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor) as Box;\n const boxRaw = newResult.body[i].boxRaw // update boxRaw\n .map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor) as Box;\n const keypoints = (newResult.body[i].keypoints // update keypoints\n .map((newKpt, j) => ({\n score: newKpt.score,\n part: newKpt.part,\n position: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2],\n ],\n positionRaw: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2],\n ],\n distance: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[0] || 0) + (newKpt.distance?.[0] || 0)) / bufferedFactor : newKpt.distance?.[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[1] || 0) + (newKpt.distance?.[1] || 0)) / bufferedFactor : newKpt.distance?.[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[2] || 0) + (newKpt.distance?.[2] || 0)) / bufferedFactor : newKpt.distance?.[2],\n ],\n }))) as { score: number, part: BodyLandmark, position: [number, number, number?], positionRaw: [number, number, number?] }[];\n\n const annotations: Record = {} as Record; // recreate annotations\n let coords = { connected: {} };\n if (config.body.modelPath?.includes('efficientpose')) coords = efficientPoseCoords;\n else if (config.body.modelPath?.includes('blazepose')) coords = blazePoseCoords;\n else if (config.body.modelPath?.includes('movenet')) coords = moveNetCoords;\n for (const [name, indexes] of Object.entries(coords.connected as Record)) {\n const pt: Point[][] = [];\n for (let j = 0; j < indexes.length - 1; j++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[j]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]);\n // if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n if (pt0 && pt1) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations }; // shallow clone plus updated values\n }\n }\n\n // interpolate hand results\n if (!bufferedResult.hand || (newResult.hand.length !== bufferedResult.hand.length)) {\n bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); // deep clone once\n } else {\n for (let i = 0; i < newResult.hand.length; i++) {\n const box = (newResult.hand[i].box// update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.hand[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; // reset keypoints as previous frame did not have them\n const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints // update landmarks\n .map((landmark, j) => landmark\n .map((coord, k) => (((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) as Point)\n : [];\n let annotations = {};\n if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) {\n bufferedResult.hand[i].annotations = newResult.hand[i].annotations; // reset annotations as previous frame did not have them\n annotations = bufferedResult.hand[i].annotations;\n } else if (newResult.hand[i].annotations) {\n for (const key of Object.keys(newResult.hand[i].annotations)) { // update annotations\n annotations[key] = newResult.hand[i]?.annotations?.[key]?.[0]\n ? newResult.hand[i].annotations[key]\n .map((val, j: number) => val\n .map((coord: number, k: number) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor))\n : null;\n }\n }\n bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations as HandResult['annotations'] }; // shallow clone plus updated values\n }\n }\n\n // interpolate face results\n if (!bufferedResult.face || (newResult.face.length !== bufferedResult.face.length)) {\n bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)) as FaceResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.face.length; i++) {\n const box = (newResult.face[i].box // update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.face[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n let annotations: Record = newResult.face[i].annotations;\n if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) {\n bufferedResult.face[i].annotations = newResult.face[i].annotations; // reset annotations as previous frame did not have them\n annotations = bufferedResult.face[i].annotations;\n } else if (newResult.face[i].annotations) {\n for (const key of Object.keys(newResult.face[i].annotations)) { // update annotations\n annotations[key] = newResult.face[i]?.annotations?.[key]?.[0]\n ? newResult.face[i].annotations[key]\n .map((val, j: number) => val\n .map((coord: number, k: number) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor))\n : null;\n }\n }\n if (newResult.face[i].rotation) {\n const rotation: {\n matrix: [number, number, number, number, number, number, number, number, number],\n angle: { roll: number, yaw: number, pitch: number },\n gaze: { bearing: number, strength: number }\n } = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } };\n rotation.matrix = newResult.face[i].rotation?.matrix as [number, number, number, number, number, number, number, number, number];\n rotation.angle = {\n roll: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.roll || 0) + (newResult.face[i].rotation?.angle?.roll || 0)) / bufferedFactor,\n yaw: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.yaw || 0) + (newResult.face[i].rotation?.angle?.yaw || 0)) / bufferedFactor,\n pitch: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.pitch || 0) + (newResult.face[i].rotation?.angle?.pitch || 0)) / bufferedFactor,\n };\n rotation.gaze = {\n // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive\n bearing: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.gaze.bearing || 0) + (newResult.face[i].rotation?.gaze.bearing || 0)) / bufferedFactor,\n strength: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.gaze.strength || 0) + (newResult.face[i].rotation?.gaze.strength || 0)) / bufferedFactor,\n };\n bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations }; // shallow clone plus updated values\n } else {\n bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations }; // shallow clone plus updated values\n }\n }\n }\n\n // interpolate object detection results\n if (!bufferedResult.object || (newResult.object.length !== bufferedResult.object.length)) {\n bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)) as ObjectResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.object.length; i++) {\n const box = (newResult.object[i].box // update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.object[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; // shallow clone plus updated values\n }\n }\n\n // interpolate person results\n if (newResult.persons) {\n const newPersons = newResult.persons; // trigger getter function\n if (!bufferedResult.persons || (newPersons.length !== bufferedResult.persons.length)) {\n bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)) as PersonResult[];\n } else {\n for (let i = 0; i < newPersons.length; i++) { // update person box, we don't update the rest as it's updated as reference anyhow\n bufferedResult.persons[i].box = (newPersons[i].box\n .map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor)) as Box;\n }\n }\n }\n\n // copy latest gestures without interpolation\n if (newResult.gesture) bufferedResult.gesture = newResult.gesture;\n\n // copy resolution info\n bufferedResult.width = newResult.width;\n bufferedResult.height = newResult.height;\n\n // append interpolation performance data\n const t1 = now();\n interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0);\n if (newResult.performance) bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime };\n\n return bufferedResult;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return null; // something is wrong with the model\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n t.norm = tf.div(t.resize, constants.tf255);\n t.res = model.execute(t.norm) as Tensor;\n t.squeeze = tf.squeeze(t.res, [0]);\n // t.softmax = tf.softmax(t.squeeze); // model meet has two channels for fg and bg\n [t.bgRaw, t.fgRaw] = tf.unstack(t.squeeze, 2);\n // t.bg = tf.softmax(t.bgRaw); // we can ignore bg channel\n t.fg = tf.softmax(t.fgRaw);\n t.mul = tf.mul(t.fg, constants.tf255);\n t.expand = tf.expandDims(t.mul, 2);\n t.output = tf.image.resizeBilinear(t.expand as Tensor4D, [input.shape[1] || 0, input.shape[2] || 0]);\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n t.input = tf.squeeze(input);\n t.concat = tf.concat([t.input, t.output], -1);\n rgba = tf.cast(t.concat, 'int32'); // combined original with alpha\n break;\n case 'alpha':\n rgba = tf.cast(t.output, 'int32'); // just get alpha value from model\n break;\n default:\n rgba = tf.tensor(0);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return rgba;\n}\n", "/** Face descriptor type as number array */\nexport type Descriptor = number[]\nexport type MatchOptions = { order?: number, threshold?: number, multiplier?: number, min?: number, max?: number } | undefined;\n\n/** Calculates distance between two descriptors\n * @param options - calculation options\n * - order - algorithm to use\n * Euclidean distance if `order` is 2 (default), Minkowski distance algorithm of nth order if `order` is higher than 2\n * - multiplier - by how much to enhance difference analysis in range of 1..100\n * default is 20 which normalizes results to similarity above 0.5 can be considered a match\n */\nexport function distance(descriptor1: Descriptor, descriptor2: Descriptor, options: MatchOptions = { order: 2, multiplier: 25 }) {\n // general minkowski distance, euclidean distance is limited case where order is 2\n if (!descriptor1 || !descriptor1) return Number.MAX_SAFE_INTEGER;\n let sum = 0;\n for (let i = 0; i < descriptor1.length; i++) {\n const diff = (!options.order || options.order === 2) ? (descriptor1[i] - descriptor2[i]) : (Math.abs(descriptor1[i] - descriptor2[i]));\n sum += (!options.order || options.order === 2) ? (diff * diff) : (diff ** options.order);\n }\n return (options.multiplier || 20) * sum;\n}\n\n// invert distance to similarity, normalize to given range and clamp\nconst normalizeDistance = (dist, order, min, max) => {\n if (dist === 0) return 1; // short circuit for identical inputs\n const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); // take root of distance\n const norm = (1 - (root / 100) - min) / (max - min); // normalize to range\n const clamp = Math.max(Math.min(norm, 1), 0); // clamp to 0..1\n return clamp;\n};\n\n/** Calculates normalized similarity between two face descriptors based on their `distance`\n * @param options - calculation options\n * - order - algorithm to use\n * Euclidean distance if `order` is 2 (default), Minkowski distance algorithm of nth order if `order` is higher than 2\n * - multiplier - by how much to enhance difference analysis in range of 1..100\n * default is 20 which normalizes results to similarity above 0.5 can be considered a match\n * - min - normalize similarity result to a given range\n * - max - normalzie similarity resutl to a given range\n * default is 0.2...0.8\n * Returns similarity between two face descriptors normalized to 0..1 range where 0 is no similarity and 1 is perfect similarity\n */\nexport function similarity(descriptor1: Descriptor, descriptor2: Descriptor, options: MatchOptions = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) {\n const dist = distance(descriptor1, descriptor2, options);\n return normalizeDistance(dist, options.order || 2, options.min || 0, options.max || 1);\n}\n\n/** Matches given descriptor to a closest entry in array of descriptors\n * @param descriptor - face descriptor\n * @param descriptors - array of face descriptors to commpare given descriptor to\n * @param options - see `similarity` method for options description\n * Returns\n * - `index` index array index where best match was found or -1 if no matches\n * - `distance` calculated `distance` of given descriptor to the best match\n * - `similarity` calculated normalized `similarity` of given descriptor to the best match\n*/\nexport function find(descriptor: Descriptor, descriptors: Descriptor[], options: MatchOptions = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) {\n if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { // validate input\n return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 };\n }\n let lowestDistance = Number.MAX_SAFE_INTEGER;\n let index = -1;\n for (let i = 0; i < descriptors.length; i++) {\n const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options) : Number.MAX_SAFE_INTEGER;\n if (res < lowestDistance) {\n lowestDistance = res;\n index = i;\n }\n if (lowestDistance < (options.threshold || 0)) break;\n }\n const normalizedSimilarity = normalizeDistance(lowestDistance, options.order || 2, options.min || 0, options.max || 1);\n return { index, distance: lowestDistance, similarity: normalizedSimilarity };\n}\n", "/**\n * Loader and Validator for all models used by Human\n */\n\nimport { env } from './util/env';\nimport { log } from './util/util';\nimport * as antispoof from './face/antispoof';\nimport * as blazeface from './face/blazeface';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as efficientpose from './body/efficientpose';\nimport * as emotion from './gear/emotion';\nimport * as facemesh from './face/facemesh';\nimport * as faceres from './face/faceres';\nimport * as gear from './gear/gear';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as insightface from './face/insightface';\nimport * as iris from './face/iris';\nimport * as liveness from './face/liveness';\nimport * as meet from './segmentation/meet';\nimport * as mobilefacenet from './face/mobilefacenet';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as posenet from './body/posenet';\nimport * as rvm from './segmentation/rvm';\nimport * as selfie from './segmentation/selfie';\nimport * as ssrnetAge from './gear/ssrnet-age';\nimport * as ssrnetGender from './gear/ssrnet-gender';\nimport { modelStats, ModelInfo } from './tfjs/load';\nimport type { GraphModel } from './tfjs/types';\nimport type { Human } from './human';\n\nexport interface KernelOps { name: string, url: string, missing: string[], ops: string[] }\n\nexport function validateModel(instance: Human | null, model: GraphModel | null, name: string): KernelOps | null {\n if (!model) return null;\n if (!instance?.config?.validateModels) return null;\n const simpleOps = ['const', 'placeholder', 'noop', 'pad', 'squeeze', 'add', 'sub', 'mul', 'div'];\n const ignoreOps = ['biasadd', 'fusedbatchnormv3', 'matmul', 'switch', 'shape', 'merge', 'split', 'broadcastto'];\n const ops: string[] = [];\n const missing: string[] = [];\n interface Op { name: string, category: string, op: string }\n const url = model['modelUrl'] as string;\n const executor = model['executor'];\n if (executor?.graph?.nodes) {\n for (const kernel of Object.values(executor.graph.nodes)) {\n const op = (kernel as Op).op.toLowerCase();\n if (!ops.includes(op)) ops.push(op);\n }\n } else {\n if (!executor && instance.config.debug) {\n log('model not loaded', name);\n }\n }\n for (const op of ops) {\n if (!simpleOps.includes(op) // exclude simple ops\n && !ignoreOps.includes(op) // exclude specific ops\n && !instance.env.kernels.includes(op) // check actual kernel ops\n && !instance.env.kernels.includes(op.replace('_', '')) // check variation without _\n && !instance.env.kernels.includes(op.replace('native', '')) // check standard variation\n && !instance.env.kernels.includes(op.replace('v2', ''))) { // check non-versioned variation\n missing.push(op);\n }\n }\n if (instance.config.debug && missing.length > 0) log('model validation failed:', name, missing);\n return missing.length > 0 ? { name, missing, ops, url } : null;\n}\n\n/** structure that holds global stats for currently loaded models */\nexport interface ModelStats {\n numLoadedModels: number,\n numDefinedModels: number,\n percentageLoaded: number,\n totalSizeFromManifest: number,\n totalSizeWeights: number,\n totalSizeLoading: number,\n modelStats: ModelInfo[],\n}\n\n/** Models class used by Human\n * - models: record of all GraphModels\n * - list: returns list of configured models with their stats\n * - loaded: returns array of loaded models\n * - reset: unloads all models\n * - validate: checks loaded models for valid kernel ops vs current backend\n * - stats: live detailed model stats that can be checked during model load phase\n */\nexport class Models {\n private instance: Human;\n models: Record = {};\n\n constructor(currentInstance: Human) {\n this.models = {};\n this.instance = currentInstance;\n }\n\n stats(): ModelStats {\n let totalSizeFromManifest = 0;\n let totalSizeWeights = 0;\n let totalSizeLoading = 0;\n for (const m of Object.values(modelStats)) {\n totalSizeFromManifest += m.sizeFromManifest;\n totalSizeWeights += m.sizeLoadedWeights;\n totalSizeLoading += m.sizeDesired;\n }\n const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0;\n return {\n numLoadedModels: Object.values(modelStats).length,\n numDefinedModels: Object.keys(this.models).length,\n percentageLoaded,\n totalSizeFromManifest,\n totalSizeWeights,\n totalSizeLoading,\n modelStats: Object.values(modelStats),\n };\n }\n\n reset(): void {\n for (const model of Object.keys(this.models)) this.models[model] = null;\n }\n\n async load(instance?: Human): Promise {\n if (env.initial) this.reset();\n if (instance) this.instance = instance;\n const m: Record> = {};\n // face main models\n m.blazeface = (this.instance.config.face.enabled && !this.models.blazeface) ? blazeface.load(this.instance.config) : null;\n m.antispoof = (this.instance.config.face.enabled && this.instance.config.face.antispoof?.enabled && !this.models.antispoof) ? antispoof.load(this.instance.config) : null;\n m.liveness = (this.instance.config.face.enabled && this.instance.config.face.liveness?.enabled && !this.models.liveness) ? liveness.load(this.instance.config) : null;\n m.faceres = (this.instance.config.face.enabled && this.instance.config.face.description?.enabled && !this.models.faceres) ? faceres.load(this.instance.config) : null;\n m.emotion = (this.instance.config.face.enabled && this.instance.config.face.emotion?.enabled && !this.models.emotion) ? emotion.load(this.instance.config) : null;\n m.iris = (this.instance.config.face.enabled && this.instance.config.face.iris?.enabled && !this.instance.config.face.attention?.enabled && !this.models.iris) ? iris.load(this.instance.config) : null;\n m.facemesh = (this.instance.config.face.enabled && this.instance.config.face.mesh?.enabled && (!this.models.facemesh)) ? facemesh.load(this.instance.config) : null;\n // face alternatives\n m.gear = (this.instance.config.face.enabled && this.instance.config.face['gear']?.enabled && !this.models.gear) ? gear.load(this.instance.config) : null;\n m.ssrnetage = (this.instance.config.face.enabled && this.instance.config.face['ssrnet']?.enabled && !this.models.ssrnetage) ? ssrnetAge.load(this.instance.config) : null;\n m.ssrnetgender = (this.instance.config.face.enabled && this.instance.config.face['ssrnet']?.enabled && !this.models.ssrnetgender) ? ssrnetGender.load(this.instance.config) : null;\n m.mobilefacenet = (this.instance.config.face.enabled && this.instance.config.face['mobilefacenet']?.enabled && !this.models.mobilefacenet) ? mobilefacenet.load(this.instance.config) : null;\n m.insightface = (this.instance.config.face.enabled && this.instance.config.face['insightface']?.enabled && !this.models.insightface) ? insightface.load(this.instance.config) : null;\n // body alterinatives\n m.blazepose = (this.instance.config.body.enabled && !this.models.blazepose && this.instance.config.body.modelPath?.includes('blazepose')) ? blazepose.loadPose(this.instance.config) : null;\n m.blazeposedetect = (this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body['detector'] && this.instance.config.body['detector'].modelPath) ? blazepose.loadDetect(this.instance.config) : null;\n m.efficientpose = (this.instance.config.body.enabled && !this.models.efficientpose && this.instance.config.body.modelPath?.includes('efficientpose')) ? efficientpose.load(this.instance.config) : null;\n m.movenet = (this.instance.config.body.enabled && !this.models.movenet && this.instance.config.body.modelPath?.includes('movenet')) ? movenet.load(this.instance.config) : null;\n m.posenet = (this.instance.config.body.enabled && !this.models.posenet && this.instance.config.body.modelPath?.includes('posenet')) ? posenet.load(this.instance.config) : null;\n // hand alternatives\n m.handtrack = (this.instance.config.hand.enabled && !this.models.handtrack && this.instance.config.hand.detector?.modelPath?.includes('handtrack')) ? handtrack.loadDetect(this.instance.config) : null;\n m.handskeleton = (this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && this.instance.config.hand.detector?.modelPath?.includes('handtrack')) ? handtrack.loadSkeleton(this.instance.config) : null;\n if (this.instance.config.hand.detector?.modelPath?.includes('handdetect')) [m.handpose, m.handskeleton] = (!this.models.handpose) ? await handpose.load(this.instance.config) : [null, null];\n // object detection alternatives\n m.centernet = (this.instance.config.object.enabled && !this.models.centernet && this.instance.config.object.modelPath?.includes('centernet')) ? centernet.load(this.instance.config) : null;\n m.nanodet = (this.instance.config.object.enabled && !this.models.nanodet && this.instance.config.object.modelPath?.includes('nanodet')) ? nanodet.load(this.instance.config) : null;\n // segmentation alternatives\n m.selfie = (this.instance.config.segmentation.enabled && !this.models.selfie && this.instance.config.segmentation.modelPath?.includes('selfie')) ? selfie.load(this.instance.config) : null;\n m.meet = (this.instance.config.segmentation.enabled && !this.models.meet && this.instance.config.segmentation.modelPath?.includes('meet')) ? meet.load(this.instance.config) : null;\n m.rvm = (this.instance.config.segmentation.enabled && !this.models.rvm && this.instance.config.segmentation.modelPath?.includes('rvm')) ? rvm.load(this.instance.config) : null;\n\n // models are loaded in parallel asynchronously so lets wait until they are actually loaded\n for (const [model, promise] of Object.entries(m)) {\n if (promise?.['then']) promise['then']((val) => this.models[model] = val);\n }\n await Promise.all(Object.values(m)); // wait so this function does not resolve prematurely\n }\n\n list() {\n const models = Object.keys(this.models).map((model) => ({ name: model, loaded: (this.models[model] !== null), size: 0, url: this.models[model] ? this.models[model]?.['modelUrl'] : null }));\n for (const m of models) {\n const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name));\n if (!stats) continue;\n m.size = modelStats[stats].sizeLoadedWeights;\n m.url = modelStats[stats].url;\n }\n return models;\n }\n\n loaded() {\n const list = this.list();\n const loaded = list.filter((model) => model.loaded).map((model) => model.name);\n return loaded;\n }\n\n validate(): { name: string, missing: string[] }[] {\n const missing: KernelOps[] = [];\n for (const defined of Object.keys(this.models)) {\n const model: GraphModel | null = this.models[defined as keyof Models];\n if (!model) continue;\n const res = validateModel(this.instance, model, defined);\n if (res) missing.push(res);\n }\n return missing;\n }\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { BodyKeypoint, BodyResult } from '../result';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport type { Tensor, Tensor3D } from '../tfjs/types';\n\nconst maxJitter = 0.005; // default allowed jitter is within 0.5%\n\nconst cache: {\n keypoints: BodyKeypoint[],\n padding: [number, number][];\n} = {\n keypoints: [],\n padding: [[0, 0], [0, 0], [0, 0], [0, 0]],\n};\n\nexport function bodyParts(body: BodyResult) { // model sometimes mixes up left vs right keypoints so we fix them\n for (const pair of coords.horizontal) { // fix body parts left vs right\n const left = body.keypoints.findIndex((kp) => kp.part === pair[0]);\n const right = body.keypoints.findIndex((kp) => kp.part === pair[1]);\n if (body.keypoints[left] && body.keypoints[right]) {\n if (body.keypoints[left].position[0] < body.keypoints[right].position[0]) {\n const tmp = body.keypoints[left];\n body.keypoints[left] = body.keypoints[right];\n body.keypoints[right] = tmp;\n }\n }\n }\n for (const pair of coords.vertical) { // remove body parts with improbable vertical position\n const lower = body.keypoints.findIndex((kp) => (kp && kp.part === pair[0]));\n const higher = body.keypoints.findIndex((kp) => (kp && kp.part === pair[1]));\n if (body.keypoints[lower] && body.keypoints[higher]) {\n if (body.keypoints[lower].position[1] < body.keypoints[higher].position[1]) {\n body.keypoints.splice(lower, 1);\n }\n }\n }\n for (const [pair, compare] of coords.relative) { // rearrange body parts according to their relative position\n const left = body.keypoints.findIndex((kp) => (kp && kp.part === pair[0]));\n const right = body.keypoints.findIndex((kp) => (kp && kp.part === pair[1]));\n const leftTo = body.keypoints.findIndex((kp) => (kp && kp.part === compare[0]));\n const rightTo = body.keypoints.findIndex((kp) => (kp && kp.part === compare[1]));\n if (!body.keypoints[leftTo] || !body.keypoints[rightTo]) continue; // only if we have both compare points\n const distanceLeft = body.keypoints[left] ? [\n Math.abs(body.keypoints[leftTo].position[0] - body.keypoints[left].position[0]),\n Math.abs(body.keypoints[rightTo].position[0] - body.keypoints[left].position[0]),\n ] : [0, 0];\n const distanceRight = body.keypoints[right] ? [\n Math.abs(body.keypoints[rightTo].position[0] - body.keypoints[right].position[0]),\n Math.abs(body.keypoints[leftTo].position[0] - body.keypoints[right].position[0]),\n ] : [0, 0];\n if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { // should flip keypoints\n const tmp = body.keypoints[left];\n body.keypoints[left] = body.keypoints[right];\n body.keypoints[right] = tmp;\n }\n }\n}\n\nexport function jitter(keypoints: BodyKeypoint[]): BodyKeypoint[] {\n for (let i = 0; i < keypoints.length; i++) {\n if (keypoints[i] && cache.keypoints[i]) {\n const diff = [Math.abs(keypoints[i].positionRaw[0] - cache.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache.keypoints[i].positionRaw[1])];\n if (diff[0] < maxJitter && diff[1] < maxJitter) {\n keypoints[i] = cache.keypoints[i]; // below jitter so replace keypoint\n } else {\n cache.keypoints[i] = keypoints[i]; // above jitter so update cache\n }\n } else {\n cache.keypoints[i] = keypoints[i]; // cache for keypoint doesnt exist so create it here\n }\n }\n return keypoints;\n}\n\nexport function padInput(input: Tensor, inputSize: number): Tensor {\n const t: Record = {};\n if (!input?.shape?.[1] || !input?.shape?.[2]) return input;\n cache.padding = [\n [0, 0], // dont touch batch\n [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], // height before&after\n [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], // width before&after\n [0, 0], // dont touch rbg\n ];\n t.pad = tf.pad(input, cache.padding);\n t.resize = tf.image.resizeBilinear(t.pad as Tensor3D, [inputSize, inputSize]);\n const final = tf.cast(t.resize, 'int32');\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return final;\n}\n\nexport function rescaleBody(body: BodyResult, outputSize: [number, number]): BodyResult {\n body.keypoints = body.keypoints.filter((kpt) => kpt?.position); // filter invalid keypoints\n for (const kpt of body.keypoints) {\n kpt.position = [\n kpt.position[0] * (outputSize[0] + cache.padding[2][0] + cache.padding[2][1]) / outputSize[0] - cache.padding[2][0],\n kpt.position[1] * (outputSize[1] + cache.padding[1][0] + cache.padding[1][1]) / outputSize[1] - cache.padding[1][0],\n ];\n kpt.positionRaw = [\n kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1],\n ];\n }\n const rescaledBoxes = box.calc(body.keypoints.map((pt) => pt.position), outputSize);\n body.box = rescaledBoxes.box;\n body.boxRaw = rescaledBoxes.boxRaw;\n return body;\n}\n", "/**\n * MoveNet model implementation\n *\n * Based on: [**MoveNet**](https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport * as fix from './movenetfix';\nimport { loadModel } from '../tfjs/load';\nimport type { BodyKeypoint, BodyResult, BodyLandmark, BodyAnnotation, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { fakeOps } from '../tfjs/backend';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n// const boxExpandFact = 1.5; // increase to 150%\n\nconst cache: {\n boxes: Box[], // unused\n bodies: BodyResult[];\n last: number,\n} = {\n boxes: [],\n bodies: [],\n last: 0,\n};\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n fakeOps(['size'], config);\n model = await loadModel(config.body.modelPath);\n } else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model?.['executor'] && model?.inputs?.[0].shape) ? model.inputs[0].shape[2] : 0;\n if (inputSize < 64) inputSize = 256;\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) tf.env().set('WEBGL_USE_SHAPES_UNIFORMS', false); // default=false \n return model;\n}\n\nfunction parseSinglePose(res, config, image) {\n const kpt = res[0][0];\n const keypoints: BodyKeypoint[] = [];\n let score = 0;\n for (let id = 0; id < kpt.length; id++) {\n score = kpt[id][2];\n if (score > config.body.minConfidence) {\n const positionRaw: Point = [kpt[id][1], kpt[id][0]];\n keypoints.push({\n score: Math.round(100 * score) / 100,\n part: coords.kpt[id] as BodyLandmark,\n positionRaw,\n position: [ // normalized to input image size\n Math.round((image.shape[2] || 0) * positionRaw[0]),\n Math.round((image.shape[1] || 0) * positionRaw[1]),\n ],\n });\n }\n }\n score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);\n const bodies: BodyResult[] = [];\n const newBox = box.calc(keypoints.map((pt) => pt.position), [image.shape[2], image.shape[1]]);\n const annotations: Record = {};\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[i]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n const body: BodyResult = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations };\n fix.bodyParts(body);\n bodies.push(body);\n return bodies;\n}\n\nfunction parseMultiPose(res, config, image) {\n const bodies: BodyResult[] = [];\n for (let id = 0; id < res[0].length; id++) {\n const kpt = res[0][id];\n const boxScore = Math.round(100 * kpt[51 + 4]) / 100;\n if (boxScore > config.body.minConfidence) {\n const keypoints: BodyKeypoint[] = [];\n for (let i = 0; i < 17; i++) {\n const score = kpt[3 * i + 2];\n if (score > config.body.minConfidence) {\n const positionRaw: Point = [kpt[3 * i + 1], kpt[3 * i + 0]];\n keypoints.push({\n part: coords.kpt[i] as BodyLandmark,\n score: Math.round(100 * score) / 100,\n positionRaw,\n position: [Math.round((image.shape[2] || 0) * positionRaw[0]), Math.round((image.shape[1] || 0) * positionRaw[1])],\n });\n }\n }\n // const newBox = box.calc(keypoints.map((pt) => pt.position), [image.shape[2], image.shape[1]]);\n // movenet-multipose has built-in box details\n const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]];\n const boxNorm: Box = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))];\n const annotations: Record = {} as Record;\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[i]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n // const body: BodyResult = { id, score: totalScore, box: newBox.box, boxRaw: newBox.boxRaw, keypoints: [...keypoints], annotations };\n const body: BodyResult = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations };\n fix.bodyParts(body);\n bodies.push(body);\n }\n }\n bodies.sort((a, b) => b.score - a.score);\n if (bodies.length > config.body.maxDetected) bodies.length = config.body.maxDetected;\n return bodies;\n}\n\nexport async function predict(input: Tensor, config: Config): Promise {\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return []; // something is wrong with the model\n if (!config.skipAllowed) cache.boxes.length = 0; // allowed to use cache or not\n skipped++; // increment skip frames\n const skipTime = (config.body.skipTime || 0) > (now() - cache.last);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n return cache.bodies; // return cached results without running anything\n }\n return new Promise(async (resolve) => {\n const t: Record = {};\n skipped = 0;\n // run detection on squared input and no cached boxes\n t.input = fix.padInput(input, inputSize);\n t.res = model?.execute(t.input) as Tensor;\n cache.last = now();\n const res = await t.res.array();\n cache.bodies = (t.res.shape[2] === 17)\n ? parseSinglePose(res, config, input)\n : parseMultiPose(res, config, input);\n for (const body of cache.bodies) {\n fix.rescaleBody(body, [input.shape[2] || 1, input.shape[1] || 1]);\n fix.jitter(body.keypoints);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n\n resolve(cache.bodies);\n });\n}\n", "/**\n * NanoDet object detection model implementation\n *\n * Based on: [**NanoDet**](https://github.com/RangiLyu/nanodet)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport { labels } from './labels';\nimport type { ObjectResult, ObjectType, Box } from '../result';\nimport type { GraphModel, Tensor, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\nlet last: ObjectResult[] = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet inputSize = 0;\n\nconst scaleBox = 2.5; // increase box size\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) {\n model = await loadModel(config.object.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nasync function process(res: Tensor[], outputShape: [number, number], config: Config) {\n let id = 0;\n let results: ObjectResult[] = [];\n const size = inputSize;\n for (const strideSize of [1, 2, 4]) { // try each stride size as it detects large/medium/small objects\n // find scores, boxes, classes\n const baseSize = strideSize * 13; // 13x13=169, 26x26=676, 52x52=2704\n // find boxes and scores output depending on stride\n const scoresT = tf.squeeze(res.find((a) => (a.shape[1] === (baseSize ** 2) && (a.shape[2] || 0) === labels.length)) as Tensor2D);\n const scores = await scoresT.array(); // optionally use exponential scores or just as-is\n const featuresT = tf.squeeze(res.find((a) => (a.shape[1] === (baseSize ** 2) && (a.shape[2] || 0) < labels.length)) as Tensor2D);\n const boxesMaxT = tf.reshape(featuresT, [-1, 4, (featuresT.shape?.[1] || 0) / 4]); // reshape [output] to [4, output / 4] where number is number of different features inside each stride\n const boxIdxT = tf.argMax(boxesMaxT, 2); // what we need is indexes of features with highest scores, not values itself\n const boxIdx = await boxIdxT.array(); // what we need is indexes of features with highest scores, not values itself\n for (let i = 0; i < scoresT.shape[0]; i++) { // total strides (x * y matrix)\n for (let j = 0; j < (scoresT.shape?.[1] || 0); j++) { // one score for each class\n const score = scores[i][j]; // get score for current position\n if (score > (config.object.minConfidence || 0) && j !== 61) {\n const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; // center.x normalized to range 0..1\n const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; // center.y normalized to range 0..1\n const boxOffset = boxIdx[i].map((a: number) => a * (baseSize / strideSize / (size))); // just grab indexes of features with highest scores\n const [x, y] = [\n cx - (scaleBox / strideSize * boxOffset[0]),\n cy - (scaleBox / strideSize * boxOffset[1]),\n ];\n const [w, h] = [\n cx + (scaleBox / strideSize * boxOffset[2]) - x,\n cy + (scaleBox / strideSize * boxOffset[3]) - y,\n ];\n let boxRaw: Box = [x, y, w, h]; // results normalized to range 0..1\n boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))) as Box; // fix out-of-bounds coords\n const box = [ // results normalized to input image pixels\n boxRaw[0] * outputShape[0],\n boxRaw[1] * outputShape[1],\n boxRaw[2] * outputShape[0],\n boxRaw[3] * outputShape[1],\n ];\n const result = {\n id: id++,\n // strideSize,\n score: Math.round(100 * score) / 100,\n class: j + 1,\n label: labels[j].label as ObjectType,\n // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)],\n // centerRaw: [cx, cy],\n box: box.map((a) => Math.trunc(a)) as Box,\n boxRaw,\n };\n results.push(result);\n }\n }\n }\n tf.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]);\n }\n\n // normally nms is run on raw results, but since boxes need to be calculated this way we skip calulcation of\n // unnecessary boxes and run nms only on good candidates (basically it just does IOU analysis as scores are already filtered)\n const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); // switches coordinates from x,y to y,x as expected by tf.nms\n const nmsScores = results.map((a) => a.score);\n let nmsIdx: number[] = [];\n if (nmsBoxes && nmsBoxes.length > 0) {\n const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected || 0, config.object.iouThreshold, config.object.minConfidence);\n nmsIdx = Array.from(await nms.data());\n tf.dispose(nms);\n }\n\n // filter & sort results\n results = results\n .filter((_val, idx) => nmsIdx.includes(idx))\n .sort((a, b) => (b.score - a.score));\n\n return results;\n}\n\nexport async function predict(image: Tensor4D, config: Config): Promise {\n if (!model?.['executor']) return [];\n const skipTime = (config.object.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.object.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (last.length > 0)) {\n skipped++;\n return last;\n }\n skipped = 0;\n if (!env.kernels.includes('mod') || !env.kernels.includes('sparsetodense')) return last;\n return new Promise(async (resolve) => {\n const outputSize = [image.shape[2] || 0, image.shape[1] || 0];\n const resizeT = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n const normT = tf.div(resizeT, constants.tf255);\n const transposeT = tf.transpose(normT, [0, 3, 1, 2]);\n\n let objectT;\n if (config.object.enabled) objectT = model.execute(transposeT);\n lastTime = now();\n\n const obj = await process(objectT as Tensor[], outputSize as [number, number], config);\n last = obj;\n tf.dispose([resizeT, normT, transposeT, ...objectT]);\n resolve(obj);\n });\n}\n", "/**\n * PoseNet body detection model implementation constants\n * See `posenet.ts` for entry point\n */\n\nimport type { Point, BodyResult, BodyAnnotation, BodyLandmark } from '../result';\n\nexport const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const count = partNames.length; // 17 keypoints\n\nexport const partIds = partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport function eitherPointDoesntMeetConfidence(a: number, b: number, minConfidence: number) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence: number) {\n return connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nexport function getBoundingBox(keypoints): [number, number, number, number] {\n const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: Number.NEGATIVE_INFINITY,\n maxY: Number.NEGATIVE_INFINITY,\n minX: Number.POSITIVE_INFINITY,\n minY: Number.POSITIVE_INFINITY,\n });\n return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY];\n}\n\nexport function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]): BodyResult[] {\n const scaleY = height / inputResolutionHeight;\n const scaleX = width / inputResolutionWidth;\n const scalePose = (pose, i): BodyResult => ({\n id: i,\n score: pose.score,\n boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],\n box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score: score as number,\n part: part as BodyLandmark,\n position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)] as Point,\n positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] as Point,\n })),\n annotations: {} as Record,\n });\n const scaledPoses = poses.map((pose, i) => scalePose(pose, i));\n return scaledPoses;\n}\n\n// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nexport class MaxHeap {\n priorityQueue: unknown[]; // don't touch\n numberOfElements: number;\n getElementValue: unknown; // function call\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() { return this.numberOfElements === -1; }\n\n size() { return this.numberOfElements + 1; }\n\n all() { return this.priorityQueue.slice(0, this.numberOfElements + 1); }\n\n max() { return this.priorityQueue[0]; }\n\n swim(k) {\n while (k > 0 && this.less(Math.floor(k / 2), k)) {\n this.exchange(k, Math.floor(k / 2));\n k = Math.floor(k / 2);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n // @ts-ignore getter is of unknown type\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n\nexport function getOffsetPoint(y, x, keypoint: number, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + count),\n };\n}\n\nexport function getImageCoords(part, outputStride: number, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a: { x: number, y: number }, b: { x: number, y: number }) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "/**\n * PoseNet body detection model implementation\n *\n * Based on: [**PoseNet**](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { BodyResult, BodyLandmark, Box } from '../result';\nimport type { Tensor, GraphModel, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as utils from './posenetutils';\n\nlet model: GraphModel;\nconst poseNetOutputs = ['MobilenetV1/offset_2/BiasAdd'/* offsets */, 'MobilenetV1/heatmap_2/BiasAdd'/* heatmapScores */, 'MobilenetV1/displacement_fwd_2/BiasAdd'/* displacementFwd */, 'MobilenetV1/displacement_bwd_2/BiasAdd'/* displacementBwd */];\nconst localMaximumRadius = 1;\nconst outputStride = 16;\nconst squaredNmsRadius = 50 ** 2;\n\nfunction traverse(edgeId: number, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) {\n const getDisplacement = (point) => ({\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, (displacements.shape[2] / 2) + edgeId),\n });\n const getStridedIndexNearPoint = (point, height, width) => ({\n y: utils.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: utils.clamp(Math.round(point.x / outputStride), 0, width - 1),\n });\n\n const [height, width] = scores.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width);\n const displacement = getDisplacement(sourceKeypointIndices);\n const displacedPoint = utils.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width);\n const offsetPoint = utils.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets);\n targetKeypoint = utils.addVectors(\n { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride },\n { x: offsetPoint.x, y: offsetPoint.y },\n );\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width);\n const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId);\n return { position: targetKeypoint, part: utils.partNames[targetId], score };\n}\n\nexport function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) {\n const tuples = utils.poseChain.map(([parentJoinName, childJoinName]) => ([utils.partIds[parentJoinName], utils.partIds[childJoinName]]));\n const edgesFwd = tuples.map(([, childJointId]) => childJointId);\n const edgesBwd = tuples.map(([parentJointId]) => parentJointId);\n const numParts = scores.shape[2]; // [21,21,17]\n const numEdges = edgesFwd.length;\n const keypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const rootPoint = utils.getImageCoords(root.part, outputStride, offsets);\n keypoints[root.part.id] = {\n score: root.score,\n part: utils.partNames[root.part.id] as BodyLandmark,\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceId = edgesFwd[edge];\n const targetId = edgesBwd[edge];\n if (keypoints[sourceId] && !keypoints[targetId]) {\n keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceId = edgesBwd[edge];\n const targetId = edgesFwd[edge];\n if (keypoints[sourceId] && !keypoints[targetId]) {\n keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd);\n }\n }\n return keypoints;\n}\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score: number, heatmapY: number, heatmapX: number, scores) {\n const [height, width]: [number, number] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(minConfidence, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new utils.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < minConfidence) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n return queue;\n}\n\nfunction withinRadius(poses, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId]?.position;\n if (!correspondingKeypoint) return false;\n return utils.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, keypoints) {\n const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinRadius(existingPoses, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / keypoints.length;\n}\n\nexport function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence) {\n const poses: { keypoints, box: Box, score: number }[] = [];\n const queue = buildPartWithScoreQueue(minConfidence, scores);\n // Generate at most maxDetected object instances per image in decreasing root part score order.\n while (poses.length < maxDetected && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n // @ts-ignore this one is tree walk\n const rootImageCoords = utils.getImageCoords(root.part, outputStride, offsets);\n // @ts-ignore this one is tree walk\n if (withinRadius(poses, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd);\n keypoints = keypoints.filter((a) => a.score > minConfidence);\n const score = getInstanceScore(poses, keypoints);\n const box = utils.getBoundingBox(keypoints);\n if (score > minConfidence) poses.push({ keypoints, box, score: Math.round(100 * score) / 100 });\n }\n return poses;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n /** posenet is mostly obsolete\n * caching is not implemented\n */\n if (!model?.['executor']) return [];\n const res = tf.tidy(() => {\n if (!model.inputs[0].shape) return [];\n const resized = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n const normalized = tf.sub(tf.div(tf.cast(resized, 'float32'), 127.5), 1.0);\n const results: Tensor[] = model.execute(normalized, poseNetOutputs) as Tensor[];\n const results3d = results.map((y) => tf.squeeze(y, [0]));\n results3d[1] = tf.sigmoid(results3d[1]); // apply sigmoid on scores\n return results3d;\n });\n\n const buffers = await Promise.all(res.map((tensor: Tensor) => tensor.buffer()));\n for (const t of res) tf.dispose(t);\n\n const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config.body.maxDetected, config.body.minConfidence);\n if (!model.inputs[0].shape) return [];\n const scaled = utils.scalePoses(decoded, [input.shape[1], input.shape[2]], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n return scaled;\n}\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.body.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**Robust Video Matting**](https://github.com/PeterL1n/RobustVideoMatting)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\n// internal state varaibles\nconst outputNodes = ['fgr', 'pha', 'r1o', 'r2o', 'r3o', 'r4o'];\nconst t: Record = {}; // contains input tensor and recurrent states\nlet ratio = 0;\n\nfunction init(config: Config) {\n tf.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]);\n t.r1i = tf.tensor(0.0);\n t.r2i = tf.tensor(0.0);\n t.r3i = tf.tensor(0.0);\n t.r4i = tf.tensor(0.0);\n ratio = config.segmentation.ratio || 0.5;\n t.downsample_ratio = tf.tensor(ratio); // initialize downsample ratio\n}\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n init(config);\n return model;\n}\n\nconst normalize = (r: Tensor): Tensor => tf.tidy(() => {\n const squeeze = tf.squeeze(r, ([0]));\n const mul = tf.mul(squeeze, constants.tf255);\n const cast = tf.cast(mul, 'int32');\n return cast;\n});\n\nfunction getRGBA(fgr: Tensor | null, pha: Tensor | null): Tensor { // gets rgba // either fgr or pha must be present\n const rgb = fgr\n ? normalize(fgr) // normalize and use value\n : tf.fill([pha!.shape[1] || 0, pha!.shape[2] || 0, 3], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-non-null-assertion\n const a = pha\n ? normalize(pha) // normalize and use value\n : tf.fill([fgr!.shape[1] || 0, fgr!.shape[2] || 0, 1], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-non-null-assertion\n const rgba = tf.concat([rgb, a], -1);\n tf.dispose([rgb, a]);\n return rgba;\n}\n\nfunction getState(state: Tensor): Tensor { // gets internal recurrent states\n return tf.tidy(() => {\n const r: Record = {};\n r.unstack = tf.unstack(state, -1);\n r.concat = tf.concat(r.unstack, 1);\n r.split = tf.split(r.concat, 4, 1);\n r.stack = tf.concat(r.split, 2);\n r.squeeze = tf.squeeze(r.stack, [0]);\n r.expand = tf.expandDims(r.squeeze, -1);\n r.add = tf.add(r.expand, 1);\n r.mul = tf.mul(r.add, 127.5);\n r.cast = tf.cast(r.mul, 'int32');\n r.tile = tf.tile(r.cast, [1, 1, 3]);\n r.alpha = tf.fill([(r.tile as Tensor).shape[0] || 0, (r.tile as Tensor).shape[1] || 0, 1], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-unnecessary-type-assertion\n return tf.concat([r.tile, r.alpha], -1);\n });\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor']) return null;\n // const expand = tf.expandDims(input, 0);\n t.src = tf.div(input, 255);\n if (ratio !== config.segmentation.ratio) init(config); // reinitialize recurrent states if requested downsample ratio changed\n const [fgr, pha, r1o, r2o, r3o, r4o] = await model.executeAsync(t, outputNodes) as Tensor[]; // execute model\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n rgba = getRGBA(fgr, pha);\n break;\n case 'alpha':\n rgba = getRGBA(null, pha);\n break;\n case 'foreground':\n rgba = getRGBA(fgr, null);\n break;\n case 'state':\n rgba = getState(r1o); // can view any internal recurrent state r10, r20, r3o, r4o\n break;\n default:\n rgba = tf.tensor(0);\n }\n tf.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]);\n [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; // update recurrent states\n return rgba;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return null; // something is wrong with the model\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n t.norm = tf.div(t.resize, constants.tf255);\n t.res = model.execute(t.norm) as Tensor;\n t.squeeze = tf.squeeze(t.res, [0]); // meet.shape:[1,256,256,1], selfie.shape:[1,144,256,2]\n t.alpha = tf.image.resizeBilinear(t.squeeze as Tensor4D, [input.shape[1] || 0, input.shape[2] || 0]); // model selfie has a single channel that we can use directly\n t.mul = tf.mul(t.alpha, constants.tf255);\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n t.input = tf.squeeze(input);\n t.concat = tf.concat([t.input, t.mul], -1);\n rgba = tf.cast(t.concat, 'int32'); // combined original with alpha\n break;\n case 'alpha':\n rgba = tf.cast(t.mul, 'int32'); // just get alpha value from model\n break;\n default:\n rgba = tf.tensor(0);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return rgba;\n}\n", "/**\n * Analyze detection Results and sort&combine them into per-person view\n */\n\nimport type { FaceResult, BodyResult, HandResult, GestureResult, PersonResult, Box } from '../result';\n\nexport function join(faces: FaceResult[], bodies: BodyResult[], hands: HandResult[], gestures: GestureResult[], shape: number[] | undefined): PersonResult[] {\n let id = 0;\n const persons: PersonResult[] = [];\n for (const face of faces) { // person is defined primarily by face and then we append other objects as found\n const person: PersonResult = { id: id++, face, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] };\n for (const body of bodies) {\n if (face.box[0] > body.box[0] // x within body\n && face.box[0] < body.box[0] + body.box[2]\n && face.box[1] + face.box[3] > body.box[1] // y within body\n && face.box[1] + face.box[3] < body.box[1] + body.box[3]) {\n person.body = body;\n }\n }\n if (person.body) { // only try to join hands if body is found\n for (const hand of hands) {\n if (hand.box[0] + hand.box[2] > person.body.box[0] // x within body for left hand\n && hand.box[0] + hand.box[2] < person.body.box[0] + person.body.box[2]\n && hand.box[1] + hand.box[3] > person.body.box[1] // x within body for left hand\n && hand.box[1] + hand.box[3] < person.body.box[1] + person.body.box[3]) {\n if (person.hands) person.hands.left = hand;\n }\n if (hand.box[0] < person.body.box[0] + person.body.box[2] // x within body for right hand\n && hand.box[0] > person.body.box[0]\n && hand.box[1] + hand.box[3] > person.body.box[1] // x within body for right hand\n && hand.box[1] + hand.box[3] < person.body.box[1] + person.body.box[3]) {\n if (person.hands) person.hands.right = hand;\n }\n }\n }\n for (const gesture of gestures) { // append all gestures according to ids\n if (gesture['face'] !== undefined && gesture['face'] === face.id) person.gestures.push(gesture);\n else if (gesture['iris'] !== undefined && gesture['iris'] === face.id) person.gestures.push(gesture);\n else if (gesture['body'] !== undefined && gesture['body'] === person.body?.id) person.gestures.push(gesture);\n else if (gesture['hand'] !== undefined && gesture['hand'] === person.hands.left?.id) person.gestures.push(gesture);\n else if (gesture['hand'] !== undefined && gesture['hand'] === person.hands.right?.id) person.gestures.push(gesture);\n }\n\n // create new overarching box from all boxes belonging to person\n const x: number[] = [];\n const y: number[] = [];\n const extractXY = (box: Box | undefined) => { // extract all [x, y] coordinates from boxes [x, y, width, height]\n if (box && box.length === 4) {\n x.push(box[0], box[0] + box[2]);\n y.push(box[1], box[1] + box[3]);\n }\n };\n extractXY(person.face.box);\n extractXY(person.body?.box);\n extractXY(person.hands.left?.box);\n extractXY(person.hands.right?.box);\n const minX = Math.min(...x);\n const minY = Math.min(...y);\n person.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; // create new overarching box\n\n // shape is known so we calculate boxRaw as well\n if (shape?.[1] && shape?.[2]) person.boxRaw = [person.box[0] / shape[2], person.box[1] / shape[1], person.box[2] / shape[2], person.box[3] / shape[1]];\n\n persons.push(person);\n }\n return persons;\n}\n", "/**\n * Embedded sample images used during warmup in dataURL format\n */\n\n// data:image/jpeg;base64,\nexport const face = `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`;\n\n// data:image/jpeg;base64,\nexport const body = `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\n2Q==`;\n", "/**\n * Warmup algorithm that uses embedded images to exercise loaded models for faster future inference\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now, mergeDeep } from './util/util';\nimport * as sample from './sample';\nimport * as image from './image/image';\nimport * as backend from './tfjs/backend';\nimport { env } from './util/env';\nimport { empty, Result } from './result';\nimport type { Config } from './config';\nimport type { Human } from './human';\nimport type { Tensor, DataType } from './tfjs/types';\n\nasync function warmupBitmap(instance: Human): Promise {\n const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob: Blob | null;\n let res: Result | undefined;\n switch (instance.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'body':\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await instance.detect(bitmap, instance.config);\n bitmap.close();\n }\n return res;\n}\n\nasync function warmupCanvas(instance: Human): Promise {\n return new Promise((resolve) => {\n let src: string;\n // let size = 0;\n switch (instance.config.warmup) {\n case 'face':\n // size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n case 'body':\n // size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = '';\n }\n // src = encodeURI('../assets/human-sample-upper.jpg');\n let img: HTMLImageElement;\n if (typeof Image !== 'undefined') img = new Image();\n // @ts-ignore env.image is an external monkey-patch\n else if (env.Image) img = new env.Image();\n else {\n resolve(undefined);\n return;\n }\n img.onload = async () => {\n const canvas = image.canvas(img.naturalWidth, img.naturalHeight);\n if (!canvas) {\n log('Warmup: Canvas not found');\n resolve(undefined);\n } else {\n const ctx = canvas.getContext('2d') as CanvasRenderingContext2D;\n if (ctx) ctx.drawImage(img, 0, 0);\n // const data = ctx?.getImageData(0, 0, canvas.height, canvas.width);\n const tensor = await instance.image(canvas, true);\n const res = tensor.tensor ? await instance.detect(tensor.tensor, instance.config) : undefined;\n resolve(res);\n }\n };\n if (src) img.src = src;\n else resolve(undefined);\n });\n}\n\nasync function warmupNode(instance: Human): Promise {\n const atob = (str: string) => Buffer.from(str, 'base64');\n let img;\n if (instance.config.warmup === 'face') img = atob(sample.face);\n else img = atob(sample.body);\n let res: Result;\n if (('node' in tf) && (tf.getBackend() === 'tensorflow')) {\n // @ts-ignore\n const data: Tensor = tf['node'].decodeJpeg(img); // eslint-disable-line import/namespace\n const expanded: Tensor = tf.expandDims(data, 0);\n instance.tf.dispose(data);\n // log('Input:', expanded);\n res = await instance.detect(expanded, instance.config);\n instance.tf.dispose(expanded);\n } else {\n if (instance.config.debug) log('Warmup tfjs-node not loaded');\n /*\n const input = await canvasJS.loadImage(img);\n const canvas = canvasJS.createCanvas(input.width, input.height);\n const ctx = canvas.getContext('2d');\n ctx.drawImage(img, 0, 0, input.width, input.height);\n res = await instance.detect(input, instance.config);\n */\n }\n // @ts-ignore\n return res;\n}\n\nasync function runInference(instance: Human) {\n let res: Result | undefined;\n if (typeof createImageBitmap === 'function') res = await warmupBitmap(instance);\n else if ((typeof Image !== 'undefined') || (env.Canvas !== undefined)) res = await warmupCanvas(instance);\n else res = await warmupNode(instance);\n return res;\n}\n\n/** Runs pre-compile on all loaded models */\nexport async function runCompile(instance: Human) {\n // @ts-ignore private property\n if (!tf.env().flagRegistry.ENGINE_COMPILE_ONLY) return; // tfjs does not support compile-only inference\n const backendType = tf.getBackend();\n const webGLBackend = tf.backend();\n if ((backendType !== 'webgl' && backendType !== 'humangl') || !webGLBackend?.['checkCompileCompletion']) {\n // log('compile pass: skip');\n return;\n }\n tf.env().set('ENGINE_COMPILE_ONLY', true);\n const numTensorsStart = tf.engine().state.numTensors;\n const compiledModels: string[] = [];\n for (const [modelName, model] of Object.entries(instance.models.models)) {\n if (!model) continue;\n const shape = (model?.modelSignature && model?.inputs?.[0]?.shape) ? [...model.inputs[0].shape] : [1, 64, 64, 3];\n const dtype: DataType = (model?.modelSignature && model?.inputs?.[0]?.dtype) ? model.inputs[0].dtype : 'float32';\n for (let dim = 0; dim < shape.length; dim++) {\n if (shape[dim] === -1) shape[dim] = dim === 0 ? 1 : 64; // override batch number and any dynamic dimensions\n }\n const tensor = tf.zeros(shape, dtype);\n try {\n const res = model.execute(tensor);\n compiledModels.push(modelName);\n if (Array.isArray(res)) res.forEach((t) => tf.dispose(t));\n else tf.dispose(res);\n } catch {\n if (instance.config.debug) log('compile fail model:', modelName);\n }\n tf.dispose(tensor);\n }\n const kernels = await webGLBackend['checkCompileCompletionAsync']();\n webGLBackend['getUniformLocations']();\n if (instance.config.debug) log('compile pass:', { models: compiledModels, kernels: kernels.length });\n tf.env().set('ENGINE_COMPILE_ONLY', false);\n const numTensorsEnd = tf.engine().state.numTensors;\n if ((numTensorsEnd - numTensorsStart) > 0) log('tensor leak:', numTensorsEnd - numTensorsStart);\n}\n\n/** Warmup method pre-initializes all configured models for faster inference\n * - can take significant time on startup\n * - only used in browser environments for `webgl` and `humangl` backends\n * @param userConfig?: Config\n*/\nexport async function warmup(instance: Human, userConfig?: Partial): Promise {\n await backend.check(instance, false);\n const t0 = now();\n instance.state = 'warmup';\n if (userConfig) instance.config = mergeDeep(instance.config, userConfig) as Config;\n if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === 'none') {\n return empty();\n }\n return new Promise(async (resolve) => {\n await instance.models.load();\n await runCompile(instance);\n const res = await runInference(instance);\n const t1 = now();\n if (instance.config.debug) log('warmup', instance.config.warmup, Math.round(t1 - t0), 'ms');\n instance.emit('warmup');\n resolve(res);\n });\n}\n", "/**\n * Human main module\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\n// module imports\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now, mergeDeep, validate } from './util/util';\nimport { defaults } from './config';\nimport { env, Env } from './util/env';\nimport { WebCam } from './util/webcam';\nimport { setModelLoadOptions } from './tfjs/load';\nimport * as app from '../package.json';\nimport * as backend from './tfjs/backend';\nimport * as draw from './draw/draw';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as efficientpose from './body/efficientpose';\nimport * as face from './face/face';\nimport * as facemesh from './face/facemesh';\nimport * as gesture from './gesture/gesture';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as image from './image/image';\nimport * as interpolate from './util/interpolate';\nimport * as meet from './segmentation/meet';\nimport * as match from './face/match';\nimport * as models from './models';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as persons from './util/persons';\nimport * as posenet from './body/posenet';\nimport * as rvm from './segmentation/rvm';\nimport * as selfie from './segmentation/selfie';\nimport * as warmups from './warmup';\n\n// type definitions\nimport { Input, Config, Result, FaceResult, HandResult, BodyResult, ObjectResult, GestureResult, AnyCanvas, empty } from './exports';\nimport type { Tensor, Tensor4D } from './tfjs/types';\n// type exports\nexport * from './exports';\n\n/** **Human** library main class\n *\n * All methods and properties are available only as members of Human class\n *\n * - Configuration object definition: {@link Config}\n * - Results object definition: {@link Result}\n * - Possible inputs: {@link Input}\n *\n * @param userConfig - {@link Config}\n * @returns instance of {@link Human}\n */\nexport class Human {\n /** Current version of Human library in *semver* format */\n version: string;\n\n /** Current configuration\n * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262)\n */\n config: Config;\n\n /** Last known result of detect run\n * - Can be accessed anytime after initial detection\n */\n result: Result;\n\n /** Current state of Human library\n * - Can be polled to determine operations that are currently executed\n * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle'\n */\n state: string;\n\n /** currenty processed image tensor and canvas */\n process: { tensor: Tensor | null, canvas: AnyCanvas | null };\n\n /** Instance of TensorFlow/JS used by Human\n * - Can be embedded or externally provided\n * [TFJS API](https://js.tensorflow.org/api/latest/)\n */\n tf;\n\n /** Object containing environment information used for diagnostics */\n env: Env = env;\n\n /** Draw helper classes that can draw detected objects on canvas using specified draw\n * - canvas: draws input to canvas\n * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions}\n * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas\n */\n // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions };\n draw: typeof draw = draw;\n\n /** Face Matching\n * - similarity: compare two face descriptors and return similarity index\n * - distance: compare two face descriptors and return raw calculated differences\n * - find: compare face descriptor to array of face descriptors and return best match\n */\n match: typeof match = match;\n\n /** Currently loaded models\n * @internal\n * {@link models#Models}\n */\n models: models.Models;\n\n /** Container for events dispatched by Human\n * Possible events:\n * - `create`: triggered when Human object is instantiated\n * - `load`: triggered when models are loaded (explicitly or on-demand)\n * - `image`: triggered when input image is processed\n * - `result`: triggered when detection is complete\n * - `warmup`: triggered when warmup is complete\n * - `error`: triggered on some errors\n */\n events: EventTarget | undefined;\n /** Reference face triangualtion array of 468 points, used for triangle references between points */\n faceTriangulation: number[];\n /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */\n faceUVMap: [number, number][];\n /** Performance object that contains values for all recently performed operations */\n performance: Record; // perf members are dynamically defined as needed\n #numTensors: number;\n #analyzeMemoryLeaks: boolean;\n #checkSanity: boolean;\n // definition end\n\n /** Constructor for **Human** library that is futher used for all operations\n * @param userConfig - user configuration object {@link Config}\n */\n constructor(userConfig?: Partial) {\n /*\n defaults.wasmPath = tf.version['tfjs-core'].includes('-') // custom build or official build\n ? 'https://vladmandic.github.io/tfjs/dist/'\n : `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;\n */\n const tfVersion = (tf.version.tfjs || tf.version_core).replace(/-(.*)/, '');\n defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`;\n defaults.modelBasePath = env.browser ? '../models/' : 'file://models/';\n this.version = app.version; // expose version property on instance of class\n Object.defineProperty(this, 'version', { value: app.version }); // expose version property directly on class itself\n this.config = JSON.parse(JSON.stringify(defaults));\n Object.seal(this.config);\n this.config.cacheModels = typeof indexedDB !== 'undefined';\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n setModelLoadOptions(this.config);\n this.tf = tf;\n this.state = 'idle';\n this.#numTensors = 0;\n this.#analyzeMemoryLeaks = false;\n this.#checkSanity = false;\n this.performance = {};\n this.events = (typeof EventTarget !== 'undefined') ? new EventTarget() : undefined;\n // object that contains all initialized models\n this.models = new models.Models(this);\n // reexport draw methods\n draw.init();\n this.result = empty();\n // export access to image processing\n this.process = { tensor: null, canvas: null };\n // export raw access to underlying models\n this.faceTriangulation = facemesh.triangulation;\n this.faceUVMap = facemesh.uvmap;\n // init model validation\n models.validateModel(this, null, '');\n // include platform info\n this.emit('create');\n if (this.config.debug || this.env.browser) log(`version: ${this.version}`);\n if (this.config.debug) log(`tfjs version: ${this.tf.version['tfjs-core']}`);\n const envTemp = JSON.parse(JSON.stringify(this.env));\n delete envTemp.kernels;\n delete envTemp.initial;\n delete envTemp.perfadd;\n if (this.config.debug) log('environment:', envTemp);\n }\n\n /** internal function to measure tensor leaks */\n analyze = (...msg: string[]) => {\n if (!this.#analyzeMemoryLeaks) return;\n const currentTensors = this.tf.engine().state.numTensors;\n const previousTensors = this.#numTensors;\n this.#numTensors = currentTensors;\n const leaked = currentTensors - previousTensors;\n if (leaked !== 0) log(...msg, leaked);\n };\n\n /** internal function for quick sanity check on inputs @hidden */\n #sanity = (input: Input): null | string => {\n if (!this.#checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.env.node && !(input instanceof tf.Tensor)) return 'input must be a tensor';\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n };\n\n /** Reset configuration to default values */\n reset(): void {\n const currentBackend = this.config.backend; // save backend;\n this.config = JSON.parse(JSON.stringify(defaults));\n this.config.backend = currentBackend;\n image.reset();\n env.initial = true;\n }\n\n /** Validate current configuration schema */\n validate(userConfig?: Partial) {\n const msgs = validate(defaults, userConfig || this.config);\n if (msgs.length === 0) this.config = mergeDeep(this.config, userConfig) as Config;\n return msgs;\n }\n\n /** Utility wrapper for performance.now() */\n now(): number { // eslint-disable-line class-methods-use-this\n return now();\n }\n\n /** Process input as return canvas and tensor\n *\n * @param input - any input {@link Input}\n * @param getTensor - should image processing also return tensor or just canvas\n * Returns object with `tensor` and `canvas`\n */\n image(input: Input, getTensor: boolean = false) {\n return image.process(input, this.config, getTensor);\n }\n\n /** Segmentation method takes any input and returns RGBA tensor\n * Note: Segmentation is not triggered as part of detect process\n *\n * @param input - {@link Input}\n * Returns tensor which contains image data in RGBA format\n */\n async segmentation(input: Input, userConfig?: Partial): Promise {\n if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n if (!this.config.segmentation.enabled) return null;\n const processed = await image.process(input, this.config);\n if (!processed.tensor) return null;\n let tensor: Tensor | null = null;\n if (this.config.segmentation.modelPath?.includes('rvm')) tensor = await rvm.predict(processed.tensor, this.config);\n if (this.config.segmentation.modelPath?.includes('meet')) tensor = await meet.predict(processed.tensor, this.config);\n if (this.config.segmentation.modelPath?.includes('selfie')) tensor = await selfie.predict(processed.tensor, this.config);\n tf.dispose(processed.tensor);\n return tensor;\n }\n\n /** Compare two input tensors for pixel similarity\n * - use `human.image` to process any valid input and get a tensor that can be used for compare\n * - when passing manually generated tensors:\n * - both input tensors must be in format [1, height, width, 3]\n * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor\n * - return value is pixel similarity score normalized by input resolution and rgb channels\n */\n compare(firstImageTensor: Tensor, secondImageTensor: Tensor): Promise {\n return image.compare(this.config, firstImageTensor, secondImageTensor);\n }\n\n /** Explicit backend initialization\n * - Normally done implicitly during initial load phase\n * - Call to explictly register and initialize TFJS backend without any other operations\n * - Use when changing backend during runtime\n */\n async init(): Promise {\n await backend.check(this, true);\n await this.tf.ready();\n image.reset();\n }\n\n /** WebCam helper methods\n *\n */\n public webcam = new WebCam();\n\n /** Load method preloads all configured models on-demand\n * - Not explicitly required as any required model is load implicitly on it's first run\n *\n * @param userConfig - {@link Config}\n */\n async load(userConfig?: Partial): Promise {\n this.state = 'load';\n const timeStamp = now();\n const count = Object.values(this.models.models).filter((model) => model).length;\n if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n if (this.env.initial) { // print version info on first run and check for correct backend setup\n if (!await backend.check(this, false)) log('error: backend check failed');\n await tf.ready();\n if (this.env.browser) {\n if (this.config.debug) log('configuration:', this.config);\n if (this.config.debug) log('tf flags:', this.tf.ENV.flags);\n }\n }\n\n await this.models.load(this); // actually loads models\n if (this.env.initial && this.config.debug) log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors'); // print memory stats on first run\n this.env.initial = false;\n\n const loaded = Object.values(this.models.models).filter((model) => model).length;\n if (loaded !== count) { // number of loaded models changed\n this.models.validate(); // validate kernel ops used by model against current backend\n this.emit('load');\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.performance.loadModels || 0)) this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current;\n }\n\n /** emit event */\n emit = (event: string) => {\n if (this.events?.dispatchEvent) this.events.dispatchEvent(new Event(event));\n };\n\n /** Runs interpolation using last known result and returns smoothened result\n * Interpolation is based on time since last known result so can be called independently\n *\n * @param result - {@link Result} optional use specific result set to run interpolation on\n * @returns result - {@link Result}\n */\n next(result: Result = this.result): Result {\n return interpolate.calc(result, this.config);\n }\n\n /** Warmup method pre-initializes all configured models for faster inference\n * - can take significant time on startup\n * - only used for `webgl` and `humangl` backends\n * @param userConfig - {@link Config}\n * @returns result - {@link Result}\n */\n async warmup(userConfig?: Partial) {\n const t0 = now();\n const res = await warmups.warmup(this, userConfig);\n const t1 = now();\n this.performance.warmup = Math.trunc(t1 - t0);\n return res;\n }\n\n /** Run detect with tensorflow profiling\n * - result object will contain total exeuction time information for top-20 kernels\n * - actual detection object can be accessed via `human.result`\n */\n async profile(input: Input, userConfig?: Partial): Promise<{ kernel: string, time: number, perc: number }[]> {\n // @ts-ignore profile wraps method return values\n const profile = await this.tf.profile(() => this.detect(input, userConfig));\n const kernels: Record = {};\n let total = 0;\n for (const kernel of profile.kernels) { // sum kernel time values per kernel\n const ms = Number(kernel.kernelTimeMs) || 0;\n if (kernels[kernel.name]) kernels[kernel.name] += ms;\n else kernels[kernel.name] = ms;\n total += ms;\n }\n const kernelArr: { kernel: string, time: number, perc: number }[] = [];\n Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1] as unknown as number, perc: 0 })); // convert to array\n for (const kernel of kernelArr) {\n kernel.perc = Math.round(1000 * kernel.time / total) / 1000;\n kernel.time = Math.round(1000 * kernel.time) / 1000;\n }\n kernelArr.sort((a, b) => b.time - a.time); // sort\n kernelArr.length = 20; // crop\n return kernelArr;\n }\n\n /** Main detection method\n * - Analyze configuration: {@link Config}\n * - Pre-process input: {@link Input}\n * - Run inference for all configured models\n * - Process and return result: {@link Result}\n *\n * @param input - {@link Input}\n * @param userConfig - {@link Config}\n * @returns result - {@link Result}\n */\n async detect(input: Input, userConfig?: Partial): Promise {\n // detection happens inside a promise\n this.state = 'detect';\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig) as Config;\n\n // sanity checks\n this.state = 'check';\n const error = this.#sanity(input);\n if (error) {\n log(error, input);\n this.emit('error');\n resolve(empty(error));\n }\n\n const timeStart = now();\n\n // load models if enabled\n await this.load();\n\n timeStamp = now();\n this.state = 'image';\n const img = await image.process(input, this.config) as { canvas: AnyCanvas, tensor: Tensor4D };\n this.process = img;\n this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n if (!img.tensor) {\n if (this.config.debug) log('could not convert input to tensor');\n this.emit('error');\n resolve(empty('could not convert input to tensor'));\n return;\n }\n this.emit('image');\n\n timeStamp = now();\n this.config.skipAllowed = await image.skip(this.config, img.tensor);\n this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; // disable autoBrightness on scene change\n if (!this.performance.totalFrames) this.performance.totalFrames = 0;\n if (!this.performance.cachedFrames) this.performance.cachedFrames = 0;\n (this.performance.totalFrames)++;\n if (this.config.skipAllowed) this.performance.cachedFrames++;\n this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n this.analyze('Check Changed:');\n\n // prepare where to store model results\n // keep them with weak typing as it can be promise or not\n let faceRes: FaceResult[] | Promise | never[] = [];\n let bodyRes: BodyResult[] | Promise | never[] = [];\n let handRes: HandResult[] | Promise | never[] = [];\n let objectRes: ObjectResult[] | Promise | never[] = [];\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n this.state = 'detect:face';\n if (this.config.async) {\n faceRes = this.config.face.enabled ? face.detectFace(this, img.tensor) : [];\n if (this.performance.face) delete this.performance.face;\n } else {\n timeStamp = now();\n faceRes = this.config.face.enabled ? await face.detectFace(this, img.tensor) : [];\n this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n\n if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) faceRes = await faceRes; // need face result for auto-detect number of hands or bodies\n\n // run body: can be posenet, blazepose, efficientpose, movenet\n this.analyze('Start Body:');\n this.state = 'detect:body';\n const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * (faceRes as FaceResult[]).length : 1 } }) : this.config; // autodetect number of bodies\n if (this.config.async) {\n if (this.config.body.modelPath?.includes('posenet')) bodyRes = this.config.body.enabled ? posenet.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('blazepose')) bodyRes = this.config.body.enabled ? blazepose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('efficientpose')) bodyRes = this.config.body.enabled ? efficientpose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('movenet')) bodyRes = this.config.body.enabled ? movenet.predict(img.tensor, bodyConfig) : [];\n if (this.performance.body) delete this.performance.body;\n } else {\n timeStamp = now();\n if (this.config.body.modelPath?.includes('posenet')) bodyRes = this.config.body.enabled ? await posenet.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('blazepose')) bodyRes = this.config.body.enabled ? await blazepose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('efficientpose')) bodyRes = this.config.body.enabled ? await efficientpose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('movenet')) bodyRes = this.config.body.enabled ? await movenet.predict(img.tensor, bodyConfig) : [];\n this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n this.state = 'detect:hand';\n const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * (faceRes as FaceResult[]).length : 1 } }) : this.config; // autodetect number of hands\n if (this.config.async) {\n if (this.config.hand.detector?.modelPath?.includes('handdetect')) handRes = this.config.hand.enabled ? handpose.predict(img.tensor, handConfig) : [];\n else if (this.config.hand.detector?.modelPath?.includes('handtrack')) handRes = this.config.hand.enabled ? handtrack.predict(img.tensor, handConfig) : [];\n if (this.performance.hand) delete this.performance.hand;\n } else {\n timeStamp = now();\n if (this.config.hand.detector?.modelPath?.includes('handdetect')) handRes = this.config.hand.enabled ? await handpose.predict(img.tensor, handConfig) : [];\n else if (this.config.hand.detector?.modelPath?.includes('handtrack')) handRes = this.config.hand.enabled ? await handtrack.predict(img.tensor, handConfig) : [];\n this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // run object detection\n this.analyze('Start Object:');\n this.state = 'detect:object';\n if (this.config.async) {\n if (this.config.object.modelPath?.includes('nanodet')) objectRes = this.config.object.enabled ? nanodet.predict(img.tensor, this.config) : [];\n else if (this.config.object.modelPath?.includes('centernet')) objectRes = this.config.object.enabled ? centernet.predict(img.tensor, this.config) : [];\n if (this.performance.object) delete this.performance.object;\n } else {\n timeStamp = now();\n if (this.config.object.modelPath?.includes('nanodet')) objectRes = this.config.object.enabled ? await nanodet.predict(img.tensor, this.config) : [];\n else if (this.config.object.modelPath?.includes('centernet')) objectRes = this.config.object.enabled ? await centernet.predict(img.tensor, this.config) : [];\n this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Object:');\n\n // if async wait for results\n this.state = 'detect:await';\n if (this.config.async) [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]);\n\n // run gesture analysis last\n this.state = 'detect:gesture';\n let gestureRes: GestureResult[] = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n gestureRes = [...gesture.face(faceRes as FaceResult[]), ...gesture.body(bodyRes as BodyResult[]), ...gesture.hand(handRes as HandResult[]), ...gesture.iris(faceRes as FaceResult[])];\n if (!this.config.async) this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n else if (this.performance.gesture) delete this.performance.gesture;\n }\n\n this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart);\n const shape = this.process.tensor?.shape || [0, 0, 0, 0];\n this.result = {\n face: faceRes as FaceResult[],\n body: bodyRes as BodyResult[],\n hand: handRes as HandResult[],\n gesture: gestureRes,\n object: objectRes as ObjectResult[],\n performance: this.performance,\n canvas: this.process.canvas,\n timestamp: Date.now(),\n error: null,\n width: shape[2],\n height: shape[1],\n get persons() { return persons.join(faceRes as FaceResult[], bodyRes as BodyResult[], handRes as HandResult[], gestureRes, shape); },\n };\n\n // finally dispose input tensor\n tf.dispose(img.tensor);\n\n // log('Result:', result);\n this.emit('detect');\n this.state = 'idle';\n resolve(this.result);\n });\n }\n\n /** Helper function\n * @param ms - sleep time in miliseconds\n */\n async sleep(ms: number): Promise { // eslint-disable-line class-methods-use-this\n return new Promise((resolve) => { setTimeout(resolve, ms); });\n }\n\n /** internal structure that keeps track of processed videos @hidden */\n #loops: Record = {};\n /** Continously detect video frames\n * @param element - HTMLVideoElement input\n * @param run - boolean run continously or stop if already running, default true\n * @param delay - number delay detection between frames for number of miliseconds, default 0\n */\n async video(element: HTMLVideoElement, run: boolean = true, delay: number = 0) {\n if (run) {\n if (!this.#loops[element.id]) {\n if (this.config.debug) log('video start', element.id);\n this.#loops[element.id] = true;\n }\n if (!element.paused && this.#loops[element.id] && (element.readyState >= 2)) await this.detect(element);\n if (delay > 0) await this.sleep(delay);\n if (this.#loops[element.id]) requestAnimationFrame(() => this.video(element, run, delay));\n } else {\n if (this.config.debug) log('video stop', element.id);\n this.#loops[element.id] = false;\n }\n }\n}\n\n/** Class Human as default export */\n/* eslint no-restricted-exports: [\"off\", { \"restrictedNamedExports\": [\"default\"] }] */\nexport { Human as default, match, draw, models };\n"], - "mappings": ";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAMA,IAAI,KAAG,OAAO;AAAO,IAAI,KAAG,OAAO;AAAe,IAAI,KAAG,OAAO;AAAyB,IAAI,KAAG,OAAO;AAAoB,IAAI,KAAG,OAAO;AAAd,IAA6B,KAAG,OAAO,UAAU;AAAe,IAAI,KAAG,CAAC,GAAE,MAAI,OAAK,KAAG,GAAG,IAAE,EAAC,SAAQ,CAAC,EAAC,GAAG,SAAQ,CAAC,GAAE,EAAE;AAAtD,IAA+D,KAAG,CAAC,GAAE,MAAI;AAAC,WAAQA,OAAK;AAAE,OAAG,GAAEA,KAAE,EAAC,KAAI,EAAEA,GAAC,GAAE,YAAW,KAAE,CAAC;AAAC;AAAzH,IAA2H,KAAG,CAAC,GAAE,GAAEA,KAAE,MAAI;AAAC,MAAG,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG;AAAW,aAAQ,KAAK,GAAG,CAAC;AAAE,OAAC,GAAG,KAAK,GAAE,CAAC,KAAG,MAAIA,OAAG,GAAG,GAAE,GAAE,EAAC,KAAI,MAAI,EAAE,CAAC,GAAE,YAAW,EAAE,IAAE,GAAG,GAAE,CAAC,MAAI,EAAE,WAAU,CAAC;AAAE,SAAO;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,SAAKA,MAAE,KAAG,OAAK,GAAG,GAAG,CAAC,CAAC,IAAE,CAAC,GAAE,GAAG,KAAG,CAAC,KAAG,CAAC,EAAE,aAAW,GAAGA,KAAE,WAAU,EAAC,OAAM,GAAE,YAAW,KAAE,CAAC,IAAEA,KAAE,CAAC;AAAG,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,KAAG,UAAQ;AAAG,MAAI,KAAG;AAAK,MAAG;AAAC,SAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,KAAI,KAAI,KAAI,GAAE,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,KAAI,GAAE,IAAG,GAAE,IAAG,GAAE,IAAG,GAAE,GAAE,KAAI,KAAI,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,KAAI,KAAI,KAAI,GAAE,GAAE,IAAG,KAAI,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC,EAAE;AAAA,EAAO,SAAO,GAAN;AAAA,EAAS;AAAC,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAK,MAAI,IAAE,GAAE,KAAK,OAAK,IAAE,GAAE,KAAK,WAAS,CAAC,CAACA;AAAA,EAAC;AAAC,KAAG,UAAU;AAAW,SAAO,eAAe,GAAG,WAAU,cAAa,EAAC,OAAM,KAAE,CAAC;AAAE,WAAS,GAAG,GAAE;AAAC,YAAO,KAAG,EAAE,gBAAc;AAAA,EAAE;AAAC,KAAG,SAAO;AAAG,MAAI,KAAG,CAAC,GAAE,KAAG,CAAC;AAAE,WAAS,GAAG,GAAE,GAAE;AAAC,QAAIA,KAAE,GAAE;AAAE,WAAO,KAAG,OAAK,IAAG,IAAE,KAAG,KAAG,IAAE,SAAO,IAAE,GAAG,CAAC,GAAE,KAAG,KAAGA,MAAE,GAAG,IAAG,IAAE,KAAG,IAAE,KAAG,GAAE,IAAE,GAAE,MAAI,GAAG,CAAC,IAAEA,MAAGA,SAAK,KAAG,IAAG,IAAE,QAAM,KAAG,IAAE,SAAO,IAAE,GAAG,CAAC,GAAE,KAAG,KAAGA,MAAE,GAAG,GAAE,IAAE,IAAE,KAAG,GAAE,KAAE,GAAE,MAAI,GAAG,CAAC,IAAEA,MAAGA;AAAA,EAAG;AAAC,KAAG,UAAQ;AAAG,WAAS,GAAG,GAAE,GAAE;AAAC,QAAG,MAAM,CAAC;AAAE,aAAO,IAAE,KAAG;AAAG,QAAG,GAAE;AAAC,UAAG,IAAE;AAAE,eAAO;AAAG,UAAG,KAAG;AAAG,eAAO;AAAA,IAAE,OAAK;AAAC,UAAG,KAAG,CAAC;AAAG,eAAO;AAAG,UAAG,IAAE,KAAG;AAAG,eAAO;AAAA,IAAE;AAAC,WAAO,IAAE,IAAE,GAAG,CAAC,GAAE,CAAC,EAAE,IAAI,IAAE,GAAG,IAAE,KAAG,GAAE,IAAE,KAAG,GAAE,CAAC;AAAA,EAAC;AAAC,KAAG,aAAW;AAAG,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,KAAG,WAAS;AAAG,MAAI,KAAG,KAAK;AAAI,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,QAAG,EAAE,WAAS;AAAE,YAAM,MAAM,cAAc;AAAE,QAAG,MAAI,SAAO,MAAI,cAAY,MAAI,eAAa,MAAI;AAAY,aAAO;AAAG,QAAG,OAAO,KAAG,YAAUA,MAAE,GAAE,IAAE,SAAI,IAAE,CAAC,CAAC,GAAEA,MAAEA,OAAG,IAAGA,MAAE,KAAG,KAAGA;AAAE,YAAM,WAAW,OAAO;AAAE,QAAI;AAAE,SAAI,IAAE,EAAE,QAAQ,GAAG,KAAG;AAAE,YAAM,MAAM,iBAAiB;AAAE,QAAG,MAAI;AAAE,aAAO,GAAG,EAAE,UAAU,CAAC,GAAE,GAAEA,GAAC,EAAE,IAAI;AAAE,aAAQ,IAAE,GAAG,GAAGA,KAAE,CAAC,CAAC,GAAE,IAAE,IAAG,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,EAAE,SAAO,CAAC,GAAE,IAAE,SAAS,EAAE,UAAU,GAAE,IAAE,CAAC,GAAEA,GAAC;AAAE,UAAG,IAAE,GAAE;AAAC,YAAI,IAAE,GAAG,GAAGA,KAAE,CAAC,CAAC;AAAE,YAAE,EAAE,IAAI,CAAC,EAAE,IAAI,GAAG,CAAC,CAAC;AAAA,MAAC;AAAM,YAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,GAAG,CAAC,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,WAAS,GAAE;AAAA,EAAC;AAAC,KAAG,aAAW;AAAG,WAAS,GAAG,GAAE,GAAE;AAAC,WAAO,OAAO,KAAG,WAAS,GAAG,GAAE,CAAC,IAAE,OAAO,KAAG,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,EAAE,KAAI,EAAE,MAAK,OAAO,KAAG,YAAU,IAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,KAAG,YAAU;AAAG,MAAI,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,GAAE,KAAG,GAAG,EAAE,GAAE,KAAG,GAAG,CAAC;AAAE,KAAG,OAAK;AAAG,MAAI,KAAG,GAAG,GAAE,IAAE;AAAE,KAAG,QAAM;AAAG,MAAI,KAAG,GAAG,CAAC;AAAE,KAAG,MAAI;AAAG,MAAI,KAAG,GAAG,GAAE,IAAE;AAAE,KAAG,OAAK;AAAG,MAAI,KAAG,GAAG,EAAE;AAAE,KAAG,UAAQ;AAAG,MAAI,KAAG,GAAG,IAAG,YAAW,KAAE;AAAE,KAAG,YAAU;AAAG,MAAI,KAAG,GAAG,IAAG,IAAG,IAAE;AAAE,KAAG,qBAAmB;AAAG,MAAI,KAAG,GAAG,GAAE,aAAY,KAAE;AAAE,KAAG,YAAU;AAAG,MAAI,KAAG,GAAG;AAAU,KAAG,QAAM,WAAU;AAAC,WAAO,KAAK,WAAS,KAAK,QAAM,IAAE,KAAK;AAAA,EAAG;AAAE,KAAG,WAAS,WAAU;AAAC,WAAO,KAAK,YAAU,KAAK,SAAO,KAAG,MAAI,KAAK,QAAM,KAAG,KAAK,OAAK,MAAI,KAAK,QAAM;AAAA,EAAE;AAAE,KAAG,WAAS,SAAS,GAAE;AAAC,QAAG,IAAE,KAAG,IAAG,IAAE,KAAG,KAAG;AAAE,YAAM,WAAW,OAAO;AAAE,QAAG,KAAK,OAAO;AAAE,aAAM;AAAI,QAAG,KAAK,WAAW;AAAE,UAAG,KAAK,GAAG,EAAE,GAAE;AAAC,YAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,KAAK,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,EAAE,IAAI,IAAI;AAAE,eAAO,EAAE,SAAS,CAAC,IAAE,EAAE,MAAM,EAAE,SAAS,CAAC;AAAA,MAAC;AAAM,eAAM,MAAI,KAAK,IAAI,EAAE,SAAS,CAAC;AAAE,aAAQ,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,KAAK,QAAQ,GAAE,IAAE,MAAK,IAAE,QAAK;AAAC,UAAI,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,IAAI,CAAC,CAAC,EAAE,MAAM,MAAI,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,UAAG,IAAE,GAAE,EAAE,OAAO;AAAE,eAAO,IAAE;AAAE,aAAK,EAAE,SAAO;AAAG,YAAE,MAAI;AAAE,UAAE,KAAG,IAAE;AAAA,IAAC;AAAA,EAAC;AAAE,KAAG,cAAY,WAAU;AAAC,WAAO,KAAK;AAAA,EAAI;AAAE,KAAG,sBAAoB,WAAU;AAAC,WAAO,KAAK,SAAO;AAAA,EAAC;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK;AAAA,EAAG;AAAE,KAAG,qBAAmB,WAAU;AAAC,WAAO,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,gBAAc,WAAU;AAAC,QAAG,KAAK,WAAW;AAAE,aAAO,KAAK,GAAG,EAAE,IAAE,KAAG,KAAK,IAAI,EAAE,cAAc;AAAE,aAAQ,IAAE,KAAK,QAAM,IAAE,KAAK,OAAK,KAAK,KAAIA,MAAE,IAAGA,MAAE,KAAG,EAAE,IAAE,KAAGA,MAAGA;AAAI;AAAC,WAAO,KAAK,QAAM,IAAEA,MAAE,KAAGA,MAAE;AAAA,EAAC;AAAE,KAAG,SAAO,WAAU;AAAC,WAAO,KAAK,SAAO,KAAG,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,aAAW,WAAU;AAAC,WAAM,CAAC,KAAK,YAAU,KAAK,OAAK;AAAA,EAAC;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK,YAAU,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,QAAM,WAAU;AAAC,YAAO,KAAK,MAAI,OAAK;AAAA,EAAC;AAAE,KAAG,SAAO,WAAU;AAAC,YAAO,KAAK,MAAI,OAAK;AAAA,EAAC;AAAE,KAAG,SAAO,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,aAAW,EAAE,YAAU,KAAK,SAAO,OAAK,KAAG,EAAE,SAAO,OAAK,IAAE,QAAG,KAAK,SAAO,EAAE,QAAM,KAAK,QAAM,EAAE;AAAA,EAAG;AAAE,KAAG,KAAG,GAAG;AAAO,KAAG,YAAU,SAAS,GAAE;AAAC,WAAM,CAAC,KAAK,GAAG,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAU,KAAG,KAAG,GAAG;AAAU,KAAG,WAAS,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,IAAE;AAAA,EAAC;AAAE,KAAG,KAAG,GAAG;AAAS,KAAG,kBAAgB,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,KAAG;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAgB,KAAG,KAAG,GAAG;AAAgB,KAAG,cAAY,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,IAAE;AAAA,EAAC;AAAE,KAAG,KAAG,GAAG;AAAY,KAAG,qBAAmB,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,KAAG;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAmB,KAAG,KAAG,GAAG;AAAmB,KAAG,UAAQ,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,GAAG,CAAC;AAAE,aAAO;AAAE,QAAIA,MAAE,KAAK,WAAW,GAAE,IAAE,EAAE,WAAW;AAAE,WAAOA,OAAG,CAAC,IAAE,KAAG,CAACA,OAAG,IAAE,IAAE,KAAK,WAAS,EAAE,SAAO,IAAE,KAAK,SAAO,KAAG,EAAE,SAAO,KAAK,QAAM,EAAE,QAAM,IAAE,KAAK,QAAM,IAAE,KAAG,IAAE,KAAK,IAAI,CAAC,EAAE,WAAW,IAAE,KAAG;AAAA,EAAC;AAAE,KAAG,OAAK,GAAG;AAAQ,KAAG,SAAO,WAAU;AAAC,WAAM,CAAC,KAAK,YAAU,KAAK,GAAG,EAAE,IAAE,KAAG,KAAK,IAAI,EAAE,IAAI,EAAE;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,SAAS,GAAE;AAAC,OAAG,CAAC,MAAI,IAAE,GAAG,CAAC;AAAG,QAAIA,MAAE,KAAK,SAAO,IAAG,IAAE,KAAK,OAAK,OAAM,IAAE,KAAK,QAAM,IAAG,IAAE,KAAK,MAAI,OAAM,IAAE,EAAE,SAAO,IAAG,IAAE,EAAE,OAAK,OAAM,IAAE,EAAE,QAAM,IAAG,IAAE,EAAE,MAAI,OAAM,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAO,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAGA,MAAE,GAAE,KAAG,OAAM,GAAG,KAAG,KAAG,GAAE,KAAG,KAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,WAAS,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,IAAI,EAAE,IAAI,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAS,KAAG,WAAS,SAAS,GAAE;AAAC,QAAG,KAAK,OAAO;AAAE,aAAO;AAAG,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,IAAG;AAAC,UAAIA,MAAE,GAAG,IAAI,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAG,EAAE,OAAO;AAAE,aAAO;AAAG,QAAG,KAAK,GAAG,EAAE;AAAE,aAAO,EAAE,MAAM,IAAE,KAAG;AAAG,QAAG,EAAE,GAAG,EAAE;AAAE,aAAO,KAAK,MAAM,IAAE,KAAG;AAAG,QAAG,KAAK,WAAW;AAAE,aAAO,EAAE,WAAW,IAAE,KAAK,IAAI,EAAE,IAAI,EAAE,IAAI,CAAC,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,QAAG,EAAE,WAAW;AAAE,aAAO,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,QAAG,KAAK,GAAG,EAAE,KAAG,EAAE,GAAG,EAAE;AAAE,aAAO,GAAG,KAAK,SAAS,IAAE,EAAE,SAAS,GAAE,KAAK,QAAQ;AAAE,QAAI,IAAE,KAAK,SAAO,IAAG,IAAE,KAAK,OAAK,OAAM,IAAE,KAAK,QAAM,IAAG,IAAE,KAAK,MAAI,OAAM,IAAE,EAAE,SAAO,IAAG,IAAE,EAAE,OAAK,OAAM,IAAE,EAAE,QAAM,IAAG,IAAE,EAAE,MAAI,OAAM,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAO,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,OAAM,GAAG,KAAG,KAAG,GAAE,KAAG,KAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAS,KAAG,SAAO,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,EAAE,OAAO;AAAE,YAAM,MAAM,kBAAkB;AAAE,QAAG,IAAG;AAAC,UAAG,CAAC,KAAK,YAAU,KAAK,SAAO,eAAa,EAAE,QAAM,MAAI,EAAE,SAAO;AAAG,eAAO;AAAK,UAAIA,OAAG,KAAK,WAAS,GAAG,QAAM,GAAG,OAAO,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAG,KAAK,OAAO;AAAE,aAAO,KAAK,WAAS,KAAG;AAAG,QAAI,GAAE,GAAE;AAAE,QAAG,KAAK,UAAS;AAAC,UAAG,EAAE,aAAW,IAAE,EAAE,WAAW,IAAG,EAAE,GAAG,IAAI;AAAE,eAAO;AAAG,UAAG,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC;AAAE,eAAO;AAAG,UAAE;AAAA,IAAE,OAAK;AAAC,UAAG,KAAK,GAAG,EAAE,GAAE;AAAC,YAAG,EAAE,GAAG,EAAE,KAAG,EAAE,GAAG,EAAE;AAAE,iBAAO;AAAG,YAAG,EAAE,GAAG,EAAE;AAAE,iBAAO;AAAG,YAAI,IAAE,KAAK,IAAI,CAAC;AAAE,eAAO,IAAE,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,GAAG,EAAE,IAAE,EAAE,WAAW,IAAE,KAAG,MAAI,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,IAAI,CAAC,CAAC,GAAE;AAAA,MAAE,WAAS,EAAE,GAAG,EAAE;AAAE,eAAO,KAAK,WAAS,KAAG;AAAG,UAAG,KAAK,WAAW;AAAE,eAAO,EAAE,WAAW,IAAE,KAAK,IAAI,EAAE,IAAI,EAAE,IAAI,CAAC,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,UAAG,EAAE,WAAW;AAAE,eAAO,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,UAAE;AAAA,IAAE;AAAC,SAAI,IAAE,MAAK,EAAE,IAAI,CAAC,KAAG;AAAC,UAAE,KAAK,IAAI,GAAE,KAAK,MAAM,EAAE,SAAS,IAAE,EAAE,SAAS,CAAC,CAAC;AAAE,eAAQ,IAAE,KAAK,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,GAAG,GAAE,IAAE,KAAG,KAAG,IAAE,GAAG,GAAE,IAAE,EAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,EAAE,WAAW,KAAG,EAAE,GAAG,CAAC;AAAG,aAAG,GAAE,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,EAAE,IAAI,CAAC;AAAE,QAAE,OAAO,MAAI,IAAE,KAAI,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,SAAO,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,IAAG;AAAC,UAAIA,OAAG,KAAK,WAAS,GAAG,QAAM,GAAG,OAAO,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,WAAO,KAAK,IAAI,KAAK,IAAI,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,WAAU;AAAC,WAAO,GAAG,CAAC,KAAK,KAAI,CAAC,KAAK,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,KAAG,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,YAAU,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,KAAI,KAAG,QAAM,IAAE,OAAK,IAAE,KAAG,GAAG,KAAK,OAAK,GAAE,KAAK,QAAM,IAAE,KAAK,QAAM,KAAG,GAAE,KAAK,QAAQ,IAAE,GAAG,GAAE,KAAK,OAAK,IAAE,IAAG,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAU,KAAG,aAAW,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,KAAI,KAAG,QAAM,IAAE,OAAK,IAAE,KAAG,GAAG,KAAK,QAAM,IAAE,KAAK,QAAM,KAAG,GAAE,KAAK,QAAM,GAAE,KAAK,QAAQ,IAAE,GAAG,KAAK,QAAM,IAAE,IAAG,KAAK,QAAM,IAAE,IAAE,IAAG,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAW,KAAG,qBAAmB,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,IAAG,KAAG,IAAG,MAAI;AAAE,aAAO;AAAK,QAAIA,MAAE,KAAK;AAAK,QAAG,IAAE,IAAG;AAAC,UAAI,IAAE,KAAK;AAAI,aAAO,GAAG,MAAI,IAAEA,OAAG,KAAG,GAAEA,QAAI,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAM,aAAO,MAAI,KAAG,GAAGA,KAAE,GAAE,KAAK,QAAQ,IAAE,GAAGA,QAAI,IAAE,IAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,OAAK,GAAG;AAAmB,KAAG,QAAM,GAAG;AAAmB,KAAG,WAAS,WAAU;AAAC,WAAO,KAAK,WAAS,GAAG,KAAK,KAAI,KAAK,MAAK,KAAE,IAAE;AAAA,EAAI;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK,WAAS,OAAK,GAAG,KAAK,KAAI,KAAK,MAAK,IAAE;AAAA,EAAC;AAAE,KAAG,UAAQ,SAAS,GAAE;AAAC,WAAO,IAAE,KAAK,UAAU,IAAE,KAAK,UAAU;AAAA,EAAC;AAAE,KAAG,YAAU,WAAU;AAAC,QAAI,IAAE,KAAK,MAAKA,MAAE,KAAK;AAAI,WAAM,CAACA,MAAE,KAAIA,QAAI,IAAE,KAAIA,QAAI,KAAG,KAAIA,QAAI,IAAG,IAAE,KAAI,MAAI,IAAE,KAAI,MAAI,KAAG,KAAI,MAAI,EAAE;AAAA,EAAC;AAAE,KAAG,YAAU,WAAU;AAAC,QAAI,IAAE,KAAK,MAAKA,MAAE,KAAK;AAAI,WAAM,CAAC,MAAI,IAAG,MAAI,KAAG,KAAI,MAAI,IAAE,KAAI,IAAE,KAAIA,QAAI,IAAGA,QAAI,KAAG,KAAIA,QAAI,IAAE,KAAIA,MAAE,GAAG;AAAA,EAAC;AAAE,KAAG,YAAU,SAAS,GAAEA,KAAE,GAAE;AAAC,WAAO,IAAE,GAAG,YAAY,GAAEA,GAAC,IAAE,GAAG,YAAY,GAAEA,GAAC;AAAA,EAAC;AAAE,KAAG,cAAY,SAAS,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAGA,GAAC;AAAA,EAAC;AAAE,KAAG,cAAY,SAAS,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE,EAAE;AAAE,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,UAAQ,EAAE,KAAG,EAAE,IAAE;AAAsB,eAAO,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,KAAG,EAAE,IAAE,IAAE;AAAA,MAAE,GAAE,EAAE,IAAE,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,IAAE;AAAA,IAAI;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,EAAE;AAAK,aAAO,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,KAAK,IAAE,aAAW;AAAA,MAAC,GAAE,EAAE,SAAO,WAAU;AAAC,eAAO,EAAE,KAAG,EAAE,IAAE,UAAQ,KAAG;AAAA,MAAqB,GAAE,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,aAAS,IAAG;AAAC,UAAI,IAAE,YAAW,IAAE,SAAS,GAAE;AAAC,YAAE,OAAO,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,eAAG,EAAE,WAAW,CAAC;AAAE,cAAI,IAAE,sBAAmB;AAAE,cAAE,MAAI,GAAE,KAAG,GAAE,KAAG,GAAE,IAAE,MAAI,GAAE,KAAG,GAAE,KAAG,IAAE;AAAA,QAAU;AAAC,gBAAO,MAAI,KAAG;AAAA,MAAqB;AAAE,aAAO;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,OAAK;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,IAAE,EAAE,KAAG;AAAG,eAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,KAAG,EAAE,MAAI,KAAG,IAAE,MAAI;AAAA,MAAC,GAAE,OAAK,IAAE,KAAG,EAAE,IAAE,IAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,IAAE,EAAE,MAAI;AAAE,eAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,IAAG,EAAE,IAAE,EAAE,IAAE,SAAO,MAAI,EAAE,IAAE,EAAE,IAAE,EAAE,KAAG,KAAG,IAAE,KAAG,MAAI;AAAA,MAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,OAAK,IAAE,KAAG,EAAE,IAAE,IAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,KAAG,EAAE,WAAS,EAAE,IAAE,EAAE,KAAG,KAAG,EAAE,MAAI,IAAG,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE;AAAK,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,GAAE,GAAE;AAAE,eAAO,IAAE,EAAE,CAAC,GAAE,KAAG,MAAI,GAAE,IAAE,IAAE,KAAG,IAAG,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,MAAI,IAAG,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,MAAI,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,KAAG,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,KAAG,IAAG,KAAG,IAAE,KAAG,GAAE,EAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,IAAE,GAAE;AAAA,MAAC;AAAE,eAAS,EAAE,GAAE,GAAE;AAAC,YAAI,GAAE,GAAE,IAAE,CAAC;AAAE,YAAG,OAAK,IAAE;AAAG,cAAE,EAAE,CAAC,IAAE;AAAA;AAAO,eAAI,IAAE,KAAG,GAAE,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,cAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC,KAAG,KAAG,EAAE,WAAW,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC,KAAG;AAAG,eAAK,EAAE,SAAO;AAAG,YAAE,KAAK,CAAC;AAAE,aAAI,IAAE,GAAE,IAAE,KAAG,EAAE,CAAC,MAAI,GAAE,EAAE;AAAE;AAAC,aAAI,KAAG,IAAE,IAAE,EAAE,CAAC,IAAE,KAAG,IAAE,EAAE,CAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK;AAAA,MAAC;AAAC,QAAE,GAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,WAAG,SAAO,IAAE,CAAC,oBAAI;AAAM,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,YAAU;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE;AAAK,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,GAAE;AAAE,eAAO,EAAE,IAAE,IAAE,IAAE,aAAW,GAAE,IAAE,EAAE,IAAE,KAAG,GAAG,GAAE,IAAE,EAAE,IAAE,IAAE,IAAE,GAAG,GAAE,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,MAAI,IAAG,IAAE,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,IAAE,GAAE,KAAG,IAAE,MAAI,MAAI;AAAA,MAAC;AAAE,eAAS,EAAE,GAAE,GAAE;AAAC,YAAI,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAI,aAAI,OAAK,IAAE,MAAI,IAAE,GAAE,IAAE,SAAO,IAAE,IAAE,MAAK,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,EAAE,MAAM,IAAG,IAAE,GAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,gBAAI,KAAG,EAAE,YAAY,IAAE,MAAI,EAAE,MAAM,IAAG,MAAI,MAAI,IAAE,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,KAAG,GAAE,KAAG,MAAI,IAAG,KAAG,MAAI,IAAE,IAAE,aAAW,GAAE,IAAE,EAAE,IAAE,GAAG,KAAG,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE;AAAG,aAAI,KAAG,QAAM,GAAG,KAAG,EAAE,UAAQ,KAAG,GAAG,IAAE,KAAI,IAAE,KAAI,IAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,cAAE,EAAE,IAAE,KAAG,GAAG,GAAE,IAAE,EAAE,IAAE,IAAE,IAAE,GAAG,GAAE,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,MAAI,IAAG,EAAE,CAAC,IAAE,IAAE;AAAE,UAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE;AAAA,MAAC;AAAC,QAAE,GAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,WAAG,SAAO,IAAE,CAAC,oBAAI;AAAM,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,UAAQ;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE;AAAE,eAAO,IAAE,KAAG,KAAG,MAAI,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,KAAG,MAAI,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,EAAE,IAAE,IAAE,KAAG,KAAG,MAAI,KAAG,GAAE,EAAE,IAAE,IAAE,IAAE,IAAE,GAAE,EAAE,IAAE,KAAG,KAAG,MAAI,KAAG,GAAE,EAAE,IAAE,IAAE,IAAE;AAAA,MAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,aAAY,EAAE,IAAE,YAAW,MAAI,KAAK,MAAM,CAAC,KAAG,EAAE,IAAE,IAAE,aAAW,GAAE,EAAE,IAAE,IAAE,KAAG,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAI,IAAE,GAAE,IAAE,IAAG,IAAE,UAAS,IAAEA,IAAE,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,GAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE;AAAE,aAAS,EAAE,GAAE,GAAE,GAAE;AAAC,UAAI,IAAE,CAAC;AAAE,UAAE,KAAG,OAAG,EAAC,SAAQ,KAAE,IAAE,KAAG,CAAC;AAAE,UAAI,IAAE,EAAE,EAAE,EAAE,UAAQ,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,KAAG,OAAK,EAAE,IAAE,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,WAAU;AAAC,iBAAQ,IAAE,EAAE,EAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,eAAG,IAAE,KAAG,GAAE,KAAG,GAAE,IAAE,EAAE,EAAE,CAAC;AAAE,eAAK,KAAG;AAAG,eAAG,GAAE,KAAG,GAAE,OAAK;AAAE,gBAAO,IAAE,KAAG;AAAA,MAAC;AAAE,aAAO,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,EAAE,CAAC,IAAE;AAAA,MAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,EAAE,CAAC,IAAE;AAAA,MAAU,GAAE,EAAE,SAAO,GAAE,EAAE,EAAE,EAAE,CAAC,GAAE,CAAC,IAAG,EAAE,QAAM,KAAG,SAAS,GAAE,GAAE,GAAE,GAAE;AAAC,eAAO,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,iBAAO,EAAE,GAAE,CAAC,CAAC;AAAA,QAAC,IAAG,KAAGA,IAAE,CAAC,IAAE,GAAE,KAAG;AAAA,MAAC,GAAG,GAAE,GAAE,YAAW,IAAE,EAAE,SAAO,QAAMA,KAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,GAAE,IAAE,EAAE,IAAE,EAAE,IAAE,GAAE,IAAE,EAAE,IAAE,CAAC;AAAE,WAAI,MAAI,IAAE,CAAC,GAAG,IAAG,IAAE;AAAG,UAAE,CAAC,IAAE;AAAI,WAAI,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,CAAC,IAAE,EAAE,IAAE,IAAE,IAAE,EAAE,IAAE,CAAC,KAAG,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,CAAC,IAAE;AAAE,OAAC,EAAE,IAAE,SAAS,GAAE;AAAC,iBAAQ,GAAE,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE;AAAK,cAAE,EAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,KAAG,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,IAAE,CAAC,MAAI,EAAE,CAAC,IAAE,EAAE;AAAE,eAAO,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE;AAAA,MAAC,GAAG,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,CAAC,GAAE,IAAE,OAAO,GAAE;AAAE,UAAG,KAAG,KAAG;AAAS,aAAI,KAAK;AAAE,cAAG;AAAC,cAAE,KAAK,EAAE,EAAE,CAAC,GAAE,IAAE,CAAC,CAAC;AAAA,UAAC,SAAO,GAAN;AAAA,UAAS;AAAC,aAAO,EAAE,SAAO,IAAE,KAAG,WAAS,IAAE,IAAE;AAAA,IAAI;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,eAAQ,IAAE,IAAE,IAAG,GAAE,IAAE,GAAE,IAAE,EAAE;AAAQ,UAAE,IAAE,CAAC,IAAE,KAAG,KAAG,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,WAAW,GAAG;AAAE,aAAO,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,IAAG;AAAC,UAAG;AAAC,YAAI;AAAE,eAAO,MAAI,IAAE,EAAE,eAAa,IAAE,EAAE,CAAC,KAAG,IAAE,IAAI,WAAW,CAAC,IAAG,EAAE,UAAQ,EAAE,UAAU,gBAAgB,CAAC,IAAG,EAAE,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,YAAI,IAAE,EAAE,WAAU,IAAE,KAAG,EAAE;AAAQ,eAAM,CAAC,CAAC,oBAAI,QAAK,GAAE,GAAE,EAAE,QAAO,EAAE,CAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,OAAO,aAAa,MAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAEA,IAAE,OAAO,GAAE,CAAC,GAAE,OAAO,MAAI,YAAU,GAAG,SAAQ;AAAC,SAAG,UAAQ;AAAE,UAAG;AAAC,YAAE,GAAG;AAAA,MAAC,SAAO,GAAN;AAAA,MAAS;AAAA,IAAC;AAAM,aAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,WAAU;AAAC,eAAO;AAAA,MAAC,CAAC,IAAEA,IAAE,SAAO,CAAC,IAAE;AAAA,EAAC,GAAG,OAAO,QAAM,cAAY,OAAK,IAAG,CAAC,GAAE,IAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,MAAI,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG;AAAE,KAAG,OAAK;AAAG,KAAG,SAAO;AAAG,KAAG,SAAO;AAAG,KAAG,YAAU;AAAG,KAAG,UAAQ;AAAG,KAAG,SAAO;AAAG,KAAG,UAAQ;AAAE,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,MAAI,MAAI,MAAI;AAAC,QAAI,IAAE,OAAO,YAAU,eAAa,SAAS,gBAAc,SAAS,cAAc,MAAI;AAAO,WAAO,OAAO,cAAY,gBAAc,IAAE,KAAG,aAAY,SAAS,GAAE;AAAC,UAAE,KAAG,CAAC;AAAE,eAASA,MAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,UAAI,IAAE,OAAO,KAAG,cAAY,IAAE,CAAC,GAAE,GAAE;AAAE,QAAE,QAAM,IAAI,QAAQ,SAAS,GAAE,GAAE;AAAC,YAAE,GAAE,IAAE;AAAA,MAAC,CAAC;AAAE,UAAI;AAAE,aAAO,WAAS,eAAa,QAAQ,cAAY,IAAE,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAC;AAAG,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,kBAAiB,IAAE,CAAC,GAAE,MAAI;AAAC,cAAM;AAAA,MAAC,GAAE,IAAE,OAAO,UAAQ,UAAS,IAAE,OAAO,iBAAe,YAAW,IAAE,OAAO,WAAS,YAAU,OAAO,QAAQ,YAAU,YAAU,OAAO,QAAQ,SAAS,QAAM,UAAS,IAAE,EAAE,0BAAwB,OAAG,IAAE;AAAG,eAAS,EAAE,GAAE;AAAC,eAAO,EAAE,aAAW,EAAE,WAAW,GAAE,CAAC,IAAE,IAAE;AAAA,MAAC;AAAC,UAAI,GAAE,GAAE,GAAE;AAAE,eAAS,EAAE,GAAE;AAAC,YAAG,aAAa;AAAG;AAAO,UAAE,+BAA6B,CAAC;AAAA,MAAC;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,GAAG;AAAE,YAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,MAAI,IAAE,YAAU,KAAI,IAAE,CAAC,GAAE,QAAM,IAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,aAAa,GAAE,KAAG,SAAO,MAAM,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,EAAE,GAAE,IAAE;AAAE,iBAAO,GAAG,WAAS,KAAG,IAAI,WAAW,EAAE,IAAG;AAAA,QAAE,GAAE,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,SAAS,GAAE,SAAS,IAAG,IAAG;AAAC,iBAAG,GAAG,EAAE,IAAE,GAAG,GAAG,MAAM;AAAA,UAAC,CAAC;AAAA,QAAC,GAAE,QAAQ,KAAK,SAAO,MAAI,IAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,OAAM,GAAG,IAAG,IAAE,QAAQ,KAAK,MAAM,CAAC,GAAE,QAAQ,GAAG,qBAAoB,SAAS,GAAE;AAAC,cAAG,EAAE,aAAa;AAAI,kBAAM;AAAA,QAAC,CAAC,GAAE,QAAQ,GAAG,sBAAqB,SAAS,GAAE;AAAC,gBAAM;AAAA,QAAC,CAAC,GAAE,IAAE,CAAC,GAAE,OAAK;AAAC,cAAG,GAAG;AAAE,kBAAM,QAAQ,WAAS,GAAE;AAAG,YAAE,EAAE,GAAE,QAAQ,KAAK,CAAC;AAAA,QAAC,GAAE,EAAE,UAAQ,WAAU;AAAC,iBAAM;AAAA,QAA4B;AAAE,YAAI;AAAE,YAAG;AAAC,cAAE,GAAG;AAAA,QAAC,SAAO,GAAN;AAAS,gBAAM,QAAQ,MAAM,yGAAyG,GAAE;AAAA,QAAC;AAAC,eAAO,SAAO,EAAE;AAAA,MAAM;AAAK,SAAC,KAAG,OAAK,IAAE,IAAE,KAAK,SAAS,OAAK,OAAO,YAAU,eAAa,SAAS,kBAAgB,IAAE,SAAS,cAAc,MAAK,OAAO,KAAG,eAAa,MAAI,IAAE,IAAG,EAAE,QAAQ,OAAO,MAAI,IAAE,IAAE,EAAE,OAAO,GAAE,EAAE,QAAQ,UAAS,EAAE,EAAE,YAAY,GAAG,IAAE,CAAC,IAAE,IAAE,IAAG,MAAI,IAAE,OAAG;AAAC,cAAI,IAAE,IAAI;AAAe,iBAAO,EAAE,KAAK,OAAM,GAAE,KAAE,GAAE,EAAE,KAAK,IAAI,GAAE,EAAE;AAAA,QAAY,GAAE,MAAI,IAAE,OAAG;AAAC,cAAI,IAAE,IAAI;AAAe,iBAAO,EAAE,KAAK,OAAM,GAAE,KAAE,GAAE,EAAE,eAAa,eAAc,EAAE,KAAK,IAAI,GAAE,IAAI,WAAW,EAAE,QAAQ;AAAA,QAAC,IAAG,IAAE,CAAC,GAAE,GAAE,OAAK;AAAC,cAAI,KAAG,IAAI;AAAe,aAAG,KAAK,OAAM,GAAE,IAAE,GAAE,GAAG,eAAa,eAAc,GAAG,SAAO,MAAI;AAAC,gBAAG,GAAG,UAAQ,OAAK,GAAG,UAAQ,KAAG,GAAG,UAAS;AAAC,gBAAE,GAAG,QAAQ;AAAE;AAAA,YAAM;AAAC,eAAG;AAAA,UAAC,GAAE,GAAG,UAAQ,IAAG,GAAG,KAAK,IAAI;AAAA,QAAC,IAAG,IAAE,OAAG,SAAS,QAAM;AAAG,WAAG,OAAO,eAAa,gBAAc,OAAO,cAAY,GAAG,EAAE;AAAa,UAAI,IAAE,QAAQ,IAAI,KAAK,OAAO,GAAE,IAAE,QAAQ,KAAK,KAAK,OAAO;AAAE,YAAI,IAAE,OAAG,EAAE,UAAU,GAAE,IAAE;AAAA,CAC1loB,GAAE,IAAE,OAAG,EAAE,UAAU,GAAE,IAAE;AAAA,CACvB;AAAG,UAAI,IAAE,EAAE,SAAO,GAAE,IAAE,EAAE,YAAU;AAAE,aAAO,OAAO,GAAE,CAAC,GAAE,IAAE,MAAK,EAAE,cAAY,IAAE,EAAE,YAAW,EAAE,gBAAc,IAAE,EAAE,cAAa,EAAE,SAAO,IAAE,EAAE;AAAM,UAAI,IAAE,GAAE,IAAE,QAAQ,MAAK,IAAE,QAAQ,OAAM,KAAG,QAAQ,iBAAgB;AAAG,QAAE,eAAa,KAAG,EAAE;AAAY,UAAI,IAAE,EAAE,iBAAe;AAAG,aAAO,eAAa,YAAU,GAAG,iCAAiC;AAAE,UAAI,IAAG,IAAG,KAAG,OAAG;AAAG,eAAS,GAAG,GAAE,GAAE;AAAC,aAAG,GAAG,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,OAAO,eAAa,cAAY,IAAI,YAAY,MAAM,IAAE;AAAO,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,iBAAQ,KAAG,IAAE,IAAG,KAAG,GAAE,EAAE,EAAE,KAAG,EAAE,MAAI;AAAK,YAAE;AAAG,YAAG,KAAG,IAAE,MAAI,EAAE,UAAQ;AAAG,iBAAO,GAAG,OAAO,EAAE,kBAAkB,oBAAkB,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,SAAS,GAAE,EAAE,CAAC;AAAE,iBAAQ,KAAG,IAAG,IAAE,MAAI;AAAC,cAAI,KAAG,EAAE,GAAG;AAAE,cAAG,EAAE,KAAG,MAAK;AAAC,kBAAI,OAAO,aAAa,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,GAAG,IAAE;AAAG,eAAI,KAAG,QAAM,KAAI;AAAC,kBAAI,OAAO,cAAc,KAAG,OAAK,IAAE,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,GAAG,IAAE;AAAG,eAAI,KAAG,QAAM,MAAI,MAAI,KAAG,OAAK,KAAG,MAAI,IAAE,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,EAAE,GAAG,IAAE,IAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,EAAE;AAAA,eAAM;AAAC,gBAAI,KAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,QAAM,MAAI,IAAG,QAAM,KAAG,IAAI;AAAA,UAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,eAAO,IAAE,GAAG,EAAE,GAAE,GAAE,CAAC,IAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,EAAE,KAAG;AAAG,iBAAO;AAAE,iBAAQ,KAAG,IAAG,KAAG,KAAG,KAAG,GAAE,KAAG,GAAE,KAAG,EAAE,QAAO,EAAE,IAAG;AAAC,cAAI,KAAG,EAAE,WAAW,EAAE;AAAE,cAAG,MAAI,SAAO,MAAI,OAAM;AAAC,gBAAI,KAAG,EAAE,WAAW,EAAE,EAAE;AAAE,iBAAG,UAAQ,KAAG,SAAO,MAAI,KAAG;AAAA,UAAI;AAAC,cAAG,MAAI,KAAI;AAAC,gBAAG,MAAI;AAAG;AAAM,cAAE,IAAI,IAAE;AAAA,UAAE,WAAS,MAAI,MAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,IAAI,IAAE,MAAI,MAAI,GAAE,EAAE,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE,WAAS,MAAI,OAAM;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,IAAI,IAAE,MAAI,MAAI,IAAG,EAAE,IAAI,IAAE,MAAI,MAAI,IAAE,IAAG,EAAE,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE,OAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,IAAI,IAAE,MAAI,MAAI,IAAG,EAAE,IAAI,IAAE,MAAI,MAAI,KAAG,IAAG,EAAE,IAAI,IAAE,MAAI,MAAI,IAAE,IAAG,EAAE,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE;AAAA,QAAC;AAAC,eAAO,EAAE,EAAE,IAAE,GAAE,KAAG;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,eAAO,GAAG,GAAE,EAAE,GAAE,GAAE,EAAE;AAAA,MAAC;AAAC,UAAI,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG;AAAG,YAAI,KAAG,EAAE;AAAQ,eAAS,GAAG,GAAE;AAAC,aAAG,GAAE,EAAE,QAAM,KAAG,IAAI,UAAU,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,aAAa,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,aAAa,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAE,kBAAgB;AAAS,UAAG;AAAE,aAAG,EAAE,YAAW,KAAG,EAAE;AAAA,eAAe,EAAE;AAAW,aAAG,EAAE;AAAA,eAAmB,KAAG,IAAI,YAAY,OAAO,EAAC,SAAQ,KAAG,OAAM,SAAQ,OAAM,QAAO,KAAE,CAAC,GAAE,EAAE,GAAG,kBAAkB;AAAmB,cAAM,EAAE,6NAA6N,GAAE,KAAG,EAAE,2GAA2G,GAAE,MAAM,YAAY;AAAE,aAAK,KAAG,GAAG,SAAQ,KAAG,GAAG,YAAW,GAAG,EAAE;AAAE,UAAI,IAAG,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,EAAE;AAAO,eAAI,OAAO,EAAE,UAAQ,eAAa,EAAE,SAAO,CAAC,EAAE,MAAM,IAAG,EAAE,OAAO;AAAQ,eAAG,EAAE,OAAO,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,aAAG,MAAG,CAAC,KAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,GAAE;AAAC,cAAG,EAAE;AAAQ,iBAAI,OAAO,EAAE,WAAS,eAAa,EAAE,UAAQ,CAAC,EAAE,OAAO,IAAG,EAAE,QAAQ;AAAQ,iBAAG,EAAE,QAAQ,MAAM,CAAC;AAAE,aAAG,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,GAAE,KAAG,MAAK,KAAG;AAAK,eAAS,GAAG,GAAE;AAAC,cAAK,EAAE,0BAAwB,EAAE,uBAAuB,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG,MAAK,EAAE,0BAAwB,EAAE,uBAAuB,EAAE,GAAE,MAAI,MAAI,OAAK,SAAO,cAAc,EAAE,GAAE,KAAG,OAAM,KAAI;AAAC,cAAI,IAAE;AAAG,eAAG,MAAK,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,UAAE,WAAS,EAAE,QAAQ,CAAC,GAAE,IAAE,aAAW,IAAE,KAAI,EAAE,CAAC,GAAE,KAAG,MAAG,KAAG,GAAE,KAAG;AAA2C,YAAI,IAAE,IAAI,YAAY,aAAa,CAAC;AAAE,cAAM,EAAE,CAAC,GAAE;AAAA,MAAC;AAAC,UAAI,KAAG;AAAwC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,SAAS;AAAA,MAAC;AAAC,UAAI;AAAG,WAAG,wCAAuC,GAAG,EAAE,MAAI,KAAG,EAAE,EAAE;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,cAAG,KAAG,MAAI;AAAG,mBAAO,IAAI,WAAW,EAAE;AAAE,cAAG;AAAE,mBAAO,EAAE,CAAC;AAAE,gBAAK;AAAA,QAAiD,SAAO,GAAN;AAAS,aAAG,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,OAAK,KAAG,IAAG;AAAC,cAAG,OAAO,SAAO,cAAY,CAAC,GAAG,EAAE;AAAE,mBAAO,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,GAAE;AAAC,kBAAG,CAAC,EAAE;AAAG,sBAAK,yCAAuC,KAAG;AAAI,qBAAO,EAAE,YAAY;AAAA,YAAC,CAAC,EAAE,MAAM,WAAU;AAAC,qBAAO,GAAG,EAAE;AAAA,YAAC,CAAC;AAAE,cAAG;AAAE,mBAAO,IAAI,QAAQ,SAAS,GAAE,GAAE;AAAC,gBAAE,IAAG,SAAS,IAAG;AAAC,kBAAE,IAAI,WAAW,EAAE,CAAC;AAAA,cAAC,GAAE,CAAC;AAAA,YAAC,CAAC;AAAA,QAAC;AAAC,eAAO,QAAQ,QAAQ,EAAE,KAAK,WAAU;AAAC,iBAAO,GAAG,EAAE;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,EAAC,KAAI,IAAG,wBAAuB,GAAE;AAAE,iBAAS,EAAE,IAAG,IAAG;AAAC,cAAI,KAAG,GAAG;AAAQ,cAAG,EAAE,MAAI,IAAG,GAAG,EAAE,IAAI,oBAAoB,GAAE,KAAG,EAAE,IAAI,2BAA0B,GAAG,EAAE,IAAI,iBAAiB,GAAE,KAAG,IAAG,CAAC,GAAE;AAAC,gBAAI,KAAG,GAAG,cAAc;AAAO,eAAG,cAAc,QAAQ,SAAS,IAAG;AAAC,iBAAG,uBAAuB,IAAG,WAAU;AAAC,kBAAE,MAAI,GAAG,kBAAkB;AAAA,cAAC,CAAC;AAAA,YAAC,CAAC;AAAA,UAAC;AAAA,QAAC;AAAC,aAAG,GAAG,kBAAkB;AAAE,iBAAS,GAAG,IAAG;AAAC,YAAE,GAAG,UAAS,GAAG,MAAM;AAAA,QAAC;AAAC,iBAAS,GAAG,IAAG;AAAC,iBAAO,GAAG,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO,YAAY,YAAY,IAAG,CAAC;AAAA,UAAC,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO;AAAA,UAAE,CAAC,EAAE,KAAK,IAAG,SAAS,IAAG;AAAC,cAAE,4CAA0C,EAAE,GAAE,GAAG,EAAE;AAAA,UAAC,CAAC;AAAA,QAAC;AAAC,iBAAS,KAAI;AAAC,iBAAM,CAAC,MAAI,OAAO,YAAY,wBAAsB,cAAY,CAAC,GAAG,EAAE,KAAG,CAAC,GAAG,EAAE,KAAG,CAAC,KAAG,OAAO,SAAO,aAAW,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,gBAAI,KAAG,YAAY,qBAAqB,IAAG,CAAC;AAAE,mBAAO,GAAG,KAAK,IAAG,SAAS,IAAG;AAAC,qBAAO,EAAE,oCAAkC,EAAE,GAAE,EAAE,2CAA2C,GAAE,GAAG,EAAE;AAAA,YAAC,CAAC;AAAA,UAAC,CAAC,IAAE,GAAG,EAAE;AAAA,QAAC;AAAC,YAAG,EAAE;AAAgB,cAAG;AAAC,gBAAI,KAAG,EAAE,gBAAgB,GAAE,CAAC;AAAE,mBAAO;AAAA,UAAE,SAAO,IAAN;AAAU,cAAE,wDAAsD,EAAE,GAAE,EAAE,EAAE;AAAA,UAAC;AAAC,eAAO,GAAG,EAAE,MAAM,CAAC,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,IAAG,IAAG,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE;AAAC,aAAK,OAAK,cAAa,KAAK,UAAQ,kCAAgC,IAAE,KAAI,KAAK,SAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,eAAO,GAAG,SAAS,CAAC,GAAE,EAAE,UAAU,GAAE,GAAG,CAAC,GAAE,GAAG,eAAe,OAAO,GAAG,eAAe,QAAQ,CAAC,GAAE,CAAC,GAAE,EAAE,cAAY;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,UAAE,YAAY,EAAC,KAAI,SAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,WAAG,CAAC,GAAE,GAAG,mBAAmB,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,aAAa;AAAE,YAAG,CAAC;AAAE,iBAAO;AAAE,WAAG,eAAe,KAAK,CAAC,GAAE,GAAG,SAAS,EAAE,WAAW,IAAE,GAAE,EAAE,cAAY,EAAE;AAAY,YAAI,KAAG,EAAC,KAAI,OAAM,eAAc,EAAE,cAAa,KAAI,EAAE,KAAI,aAAY,EAAE,YAAW;AAAE,eAAO,EAAE,aAAW,MAAI;AAAC,eAAG,EAAE,IAAI,GAAE,EAAE,YAAY,IAAG,EAAE,YAAY,GAAE,OAAO,EAAE;AAAA,QAAU,GAAE,EAAE,UAAQ,EAAE,WAAW,GAAE;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,SAAQ,QAAO,KAAI,WAAU;AAAC,WAAG,WAAS;AAAE,YAAI,IAAE,EAAE,EAAE,GAAG,UAAQ,KAAG,CAAC;AAAE,eAAO;AAAA,MAAC,GAAE,QAAO,SAAS,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,eAAO;AAAA,MAAC,EAAC;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,CAAC;AAAE,aAAG,GAAE,GAAG,MAAI,GAAG,oBAAoB,GAAE,EAAE,UAAQ,EAAE,OAAO,CAAC,GAAE,KAAG,OAAI,EAAE,GAAE,IAAI,GAAG,CAAC,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAG,KAAG,GAAE,CAAC,KAAG;AAAE,gBAAM,GAAG,CAAC,GAAE;AAAS,WAAG,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG,aAAa,MAAI,KAAG;AAAS,iBAAO;AAAG,UAAE,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,eAAc,CAAC,GAAE,gBAAe,CAAC,GAAE,kBAAiB,CAAC,GAAE,UAAS,CAAC,GAAE,MAAK,WAAU;AAAC,YAAE,GAAG,WAAW,IAAE,GAAG,eAAe;AAAA,MAAC,GAAE,gBAAe,WAAU;AAAC,iBAAQ,IAAE,GAAE;AAAK,aAAG,qBAAqB;AAAA,MAAC,GAAE,YAAW,WAAU;AAAC,YAAE;AAAA,MAAE,GAAE,eAAc,SAAS,GAAE;AAAC,aAAG;AAAA,MAAC,GAAE,qBAAoB,WAAU;AAAC,iBAAQ,KAAK,OAAO,OAAO,GAAG,QAAQ;AAAE,aAAG,mBAAmB,CAAC;AAAE,iBAAQ,KAAK,GAAG;AAAc,YAAE,UAAU;AAAE,WAAG,gBAAc,CAAC;AAAA,MAAC,GAAE,oBAAmB,SAAS,GAAE;AAAC,YAAI,IAAE,EAAE;AAAY,eAAO,GAAG,SAAS,CAAC,GAAE,GAAG,cAAc,KAAK,CAAC,GAAE,GAAG,eAAe,OAAO,GAAG,eAAe,QAAQ,CAAC,GAAE,CAAC,GAAE,EAAE,cAAY,GAAE,KAAG,EAAE,MAAM,GAAE,GAAG,CAAC;AAAA,MAAC,GAAE,uBAAsB,SAAS,GAAE;AAAA,MAAC,GAAE,eAAc,WAAU;AAAC,WAAG,iBAAiB,QAAQ,OAAG,EAAE,CAAC;AAAA,MAAC,GAAE,wBAAuB,SAAS,GAAE,GAAE;AAAC,UAAE,YAAU,QAAI;AAAC,cAAI,KAAG,GAAG,MAAK,KAAG,GAAG;AAAI,cAAG,EAAE,gBAAc,GAAG,sCAAoC,EAAE,cAAa,GAAG,gBAAc,GAAG,gBAAc,GAAG,GAAE;AAAC,gBAAI,KAAG,GAAG,SAAS,GAAG,YAAY;AAAE,iBAAG,GAAG,YAAY,IAAG,GAAG,YAAY,IAAE,EAAE,4CAA0C,KAAG,yBAAuB,GAAG,eAAa,qCAAqC,GAAE,GAAG,sCAAoC;AAAO;AAAA,UAAM;AAAC,iBAAK,yBAAuB,GAAG,GAAG,KAAK,IAAE,OAAK,gBAAc,GAAG,EAAE,IAAE,OAAK,kBAAgB,GAAG,GAAG,MAAM,IAAE,OAAK,eAAa,GAAG,GAAG,MAAM,IAAE,OAAK,iBAAe,GAAG,GAAG,MAAM,IAAE,OAAK,YAAU,EAAE,SAAO,MAAG,KAAG,EAAE,MAAM,GAAE,KAAG,EAAE,CAAC,GAAE,EAAE,cAAY,EAAE,WAAW,KAAG,OAAK,UAAQ,EAAE,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,OAAK,aAAW,EAAE,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,OAAK,UAAQ,MAAM,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,GAAG,WAAS,iBAAe,EAAE,YAAY,EAAE,IAAE,OAAK,gBAAc,EAAE,GAAG,OAAO,EAAE,GAAG,GAAG,IAAI,IAAE,MAAI,EAAE,oCAAkC,EAAE,GAAE,GAAG,sCAAoC;AAAA,QAAM,GAAE,EAAE,UAAQ,QAAI;AAAC,cAAI,KAAG;AAAwB,gBAAM,EAAE,KAAG,MAAI,GAAG,WAAS,MAAI,GAAG,SAAO,OAAK,GAAG,OAAO,GAAE;AAAA,QAAE,GAAE,MAAI,EAAE,GAAG,WAAU,SAAS,IAAG;AAAC,YAAE,UAAU,EAAC,MAAK,GAAE,CAAC;AAAA,QAAC,CAAC,GAAE,EAAE,GAAG,SAAQ,SAAS,IAAG;AAAC,YAAE,QAAQ,EAAE;AAAA,QAAC,CAAC,GAAE,EAAE,GAAG,gBAAe,WAAU;AAAA,QAAC,CAAC;AAAG,YAAI,KAAG,CAAC,GAAE,KAAG,CAAC,UAAS,WAAU,SAAQ,UAAU;AAAE,iBAAQ,MAAM;AAAG,YAAE,eAAe,EAAE,KAAG,GAAG,KAAK,EAAE;AAAE,UAAE,YAAY,EAAC,KAAI,QAAO,UAAS,IAAG,WAAU,EAAE,uBAAqB,GAAE,YAAW,IAAG,YAAW,GAAE,CAAC;AAAA,MAAC,GAAE,sBAAqB,WAAU;AAAC,YAAI,GAAE,IAAE,EAAE,2CAA2C;AAAE,YAAE,IAAI,OAAO,CAAC,GAAE,GAAG,cAAc,KAAK,CAAC;AAAA,MAAC,GAAE,cAAa,WAAU;AAAC,eAAO,GAAG,cAAc,UAAQ,MAAI,GAAG,qBAAqB,GAAE,GAAG,uBAAuB,GAAG,cAAc,CAAC,CAAC,IAAG,GAAG,cAAc,IAAI;AAAA,MAAC,EAAC;AAAE,QAAE,UAAQ;AAAG,eAAS,GAAG,GAAE;AAAC,eAAK,EAAE,SAAO;AAAG,YAAE,MAAM,EAAE,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAE,MAAI,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,MAAI,CAAC,GAAE,KAAG,IAAE;AAAG,WAAG,GAAE,EAAE,GAAE,GAAG,CAAC;AAAA,MAAC;AAAC,QAAE,sBAAoB;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,CAAC;AAAE,YAAG;AAAC,aAAG,CAAC;AAAA,QAAC,SAAO,GAAN;AAAS,aAAG,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,UAAI,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,eAAO,MAAI,KAAG,GAAG,WAAS,GAAG,SAAO,IAAE,IAAG,GAAG,CAAC,IAAE,IAAE,GAAG,IAAI,CAAC,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,GAAG,CAAC,EAAE,CAAC;AAAE,WAAG,IAAE,GAAG,cAAc,EAAE,IAAE,GAAG,EAAE;AAAA,MAAC;AAAC,QAAE,mBAAiB;AAAG,eAAS,GAAG,GAAE;AAAC,WAAG,iBAAiB,KAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAG,cAAc;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAE,YAAY,EAAC,KAAI,iBAAgB,QAAO,EAAC,CAAC,IAAE,GAAG,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,EAAE,IAAE,GAAG,GAAE,GAAE,IAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,OAAO,qBAAmB;AAAY,iBAAO,EAAE,qFAAqF,GAAE;AAAE,YAAI,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG,MAAI,GAAG,WAAS,KAAG;AAAI,iBAAO,GAAG,GAAE,GAAE,IAAG,EAAE;AAAE,YAAG;AAAG,iBAAO;AAAG,YAAI,KAAG,EAAC,cAAa,IAAG,aAAY,GAAE,KAAI,IAAG,cAAa,GAAE;AAAE,eAAO,KAAG,GAAG,MAAI,eAAc,YAAY,IAAG,EAAE,GAAE,KAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAK;AAAC,UAAI,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE;AAAC,gBAAQ,MAAM,EAAE,GAAE,KAAG,GAAE,CAAC,GAAE,GAAG,KAAG,GAAG,CAAC,GAAE,QAAQ,gBAAgB,EAAE,GAAE,KAAG,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC,QAAE,+BAA6B;AAAG,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,KAAG;AAAE,qBAAW,MAAI,GAAG,EAAE,CAAC;AAAA,iBAAU;AAAE,sBAAY,EAAC,cAAa,GAAE,KAAI,wBAAuB,OAAM,GAAE,CAAC;AAAA,aAAM;AAAC,cAAI,KAAG,GAAG,SAAS,CAAC;AAAE,cAAG,CAAC;AAAG;AAAO,aAAG,YAAY,EAAC,KAAI,wBAAuB,OAAM,GAAE,CAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,eAAM;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,UAAQ,GAAG,QAAM,CAAC,IAAG,GAAG,MAAM,CAAC,MAAI,GAAG,MAAM,CAAC,IAAE,GAAE,MAAI,IAAE,cAAY,IAAG,EAAE,CAAC;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,aAAG,KAAG,GAAG,0IAA0I;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO,KAAK,IAAI;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAU;AAAC,eAAS,KAAI;AAAC,eAAO,GAAG;AAAA,MAAC;AAAC,UAAI;AAAG,UAAE,KAAG,MAAI;AAAC,YAAI,IAAE,QAAQ,OAAO;AAAE,eAAO,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAA,MAAG,IAAE,KAAG,MAAI,YAAY,aAAW,YAAY,IAAI;AAAE,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,UAAE,EAAE,WAAW,GAAE,GAAE,IAAE,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO,IAAE,GAAG,EAAE,KAAK,EAAE,SAAO,UAAU;AAAA,MAAmB;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,KAAG,EAAE;AAAE,eAAO,GAAG,CAAC,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,UAAU,SAAO,GAAE,KAAG;AAAU,eAAO,GAAG,MAAI;AAAC,mBAAQ,KAAG,IAAG,KAAG,GAAG,KAAG,CAAC,GAAE,KAAG,MAAI,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,gBAAI,KAAG,GAAG,IAAE,EAAE;AAAE,cAAE,EAAE,KAAG,EAAE,IAAE;AAAA,UAAE;AAAC,iBAAO,GAAG,GAAE,IAAG,IAAG,CAAC;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,WAAG,SAAO;AAAE,iBAAQ,KAAG,MAAI,GAAE,KAAG,GAAE,KAAG,GAAE;AAAK,aAAG,EAAE,IAAE,EAAE,EAAE,KAAG,EAAE;AAAE,YAAI,KAAG,IAAE,GAAE,KAAG,KAAG,GAAG,CAAC,IAAE,CAAC,IAAE,GAAG,CAAC;AAAE,eAAO,GAAG,MAAM,MAAK,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,iBAAO,GAAG,KAAK,IAAE,GAAG,aAAW,UAAQ,EAAE,GAAE,GAAG,GAAG,MAAM,GAAE;AAAA,QAAC,SAAO,GAAN;AAAA,QAAS;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE;AAAO,YAAG,IAAE,MAAI,GAAE,KAAG;AAAE,iBAAM;AAAG,YAAI,KAAG,GAAG;AAAE,YAAG,IAAE;AAAG,iBAAM;AAAG,YAAI,KAAG,CAAC,IAAG,OAAK,MAAI,KAAG,KAAG,MAAI;AAAG,iBAAQ,KAAG,GAAE,MAAI,GAAE,MAAI,GAAE;AAAC,cAAI,KAAG,KAAG,IAAE,MAAG;AAAI,eAAG,KAAK,IAAI,IAAG,IAAE,SAAS;AAAE,cAAI,KAAG,KAAK,IAAI,IAAG,GAAG,KAAK,IAAI,GAAE,EAAE,GAAE,KAAK,CAAC,GAAE,KAAG,GAAG,EAAE;AAAE,cAAG;AAAG,mBAAM;AAAA,QAAE;AAAC,eAAM;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,cAAK;AAAA,MAAQ;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,CAAC,IAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG,IAAG;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,EAAE,IAAE;AAAA,MAAE;AAAC,UAAI,KAAG,CAAC,MAAK,CAAC,GAAE,CAAC,CAAC;AAAE,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,GAAG,CAAC;AAAE,cAAI,KAAG,MAAI,OAAK,MAAI,IAAE,IAAE,GAAG,GAAG,IAAG,CAAC,CAAC,GAAE,GAAG,SAAO,KAAG,GAAG,KAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,EAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,cAAI,KAAG,EAAE,EAAE,KAAG,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,KAAG,CAAC;AAAE,eAAG;AAAE,mBAAQ,KAAG,GAAE,KAAG,IAAG;AAAK,eAAG,GAAE,EAAE,EAAE,KAAG,EAAE,CAAC;AAAE,gBAAI;AAAA,QAAE;AAAC,eAAO,EAAE,EAAE,MAAI,CAAC,IAAE,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,EAAE,MAAI,CAAC;AAAE,eAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,QAAAA,IAAE,EAAE,IAAI,GAAE,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG,IAAG;AAAC,YAAI,KAAG,EAAC,QAAO,QAAI;AAAC,cAAI,KAAG;AAAE,cAAG,MAAI,QAAM,OAAK,GAAE;AAAC,gBAAI,MAAI,GAAG,UAAQ,KAAG;AAAE,iBAAG,GAAG,EAAE,GAAE,GAAG,IAAG,IAAG,EAAE;AAAA,UAAC;AAAC,iBAAO;AAAA,QAAE,GAAE,OAAM,QAAI;AAAC,cAAI,KAAG,GAAG,GAAG,MAAM;AAAE,iBAAO,GAAG,IAAG,EAAE,GAAE;AAAA,QAAE,EAAC;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,MAAI,WAAS,GAAG,EAAE,IAAE,MAAI,YAAU,CAAC,CAAC,KAAG;AAAA,QAAE;AAAC,YAAI,KAAG,GAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG;AAAG,mBAAQ,KAAG,GAAE,KAAG,GAAG,QAAO,MAAK;AAAC,gBAAI,KAAG,GAAG,GAAG,EAAE,CAAC;AAAE,kBAAI,OAAK,MAAI,KAAG,GAAG,IAAG,GAAG,EAAE,IAAE,GAAG,GAAG,EAAE,CAAC,KAAG,GAAG,EAAE,IAAE,GAAG,EAAE;AAAA,UAAC;AAAC,YAAI,KAAG,GAAG,MAAM,MAAK,EAAE;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,KAAG,GAAG,EAAE,GAAE,GAAG,EAAE;AAAA,QAAC;AAAC,eAAO,KAAG,GAAG,EAAE,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,aAAG,MAAI,CAAC;AAAE,YAAI,KAAG,GAAG,MAAM,QAAI,OAAK,YAAU,OAAK,SAAS,GAAE,KAAG,MAAI;AAAS,eAAO,MAAI,MAAI,CAAC,KAAG,GAAG,CAAC,IAAE,WAAU;AAAC,iBAAO,GAAG,GAAE,GAAE,IAAG,WAAU,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,SAAG,KAAK;AAAE,UAAI,KAAG,CAAC,MAAK,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE,GAAE,KAAG,EAAC,kCAAiC,IAAG,6BAA4B,IAAG,qBAAoB,IAAG,wCAAuC,IAAG,kCAAiC,IAAG,+BAA8B,IAAG,sCAAqC,IAAG,OAAM,IAAG,mCAAkC,IAAG,qBAAoB,IAAG,yBAAwB,IAAG,oBAAmB,IAAG,uBAAsB,IAAG,8BAA6B,IAAG,sCAAqC,IAAG,wBAAuB,IAAG,oCAAmC,IAAG,MAAK,IAAG,UAAS,IAAG,SAAQ,IAAG,UAAS,IAAG,QAAO,MAAI,EAAE,WAAU,GAAE,KAAG,GAAG,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAG,EAAE,mBAAiB,EAAE,IAAI,iBAAiB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAG,EAAE,yBAAuB,EAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAG,EAAE,kBAAgB,EAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAG,EAAE,wBAAsB,EAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,IAAE,EAAE,YAAU,WAAU;AAAC,gBAAO,IAAE,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAG,EAAE,kBAAgB,EAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAG,EAAE,yBAAuB,EAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAG,EAAE,oBAAkB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAG,EAAE,0BAAwB,EAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAG,EAAE,wBAAsB,EAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAG,EAAE,oBAAkB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,8BAA4B,WAAU;AAAC,gBAAO,KAAG,EAAE,8BAA4B,EAAE,IAAI,4BAA4B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,+CAA6C,WAAU;AAAC,gBAAO,KAAG,EAAE,+CAA6C,EAAE,IAAI,6CAA6C,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qCAAmC,WAAU;AAAC,gBAAO,KAAG,EAAE,qCAAmC,EAAE,IAAI,mCAAmC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,4CAA0C,WAAU;AAAC,gBAAO,KAAG,EAAE,4CAA0C,EAAE,IAAI,0CAA0C,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kCAAgC,WAAU;AAAC,gBAAO,KAAG,EAAE,kCAAgC,EAAE,IAAI,gCAAgC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wCAAsC,WAAU;AAAC,gBAAO,KAAG,EAAE,wCAAsC,EAAE,IAAI,sCAAsC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gCAA8B,WAAU;AAAC,gBAAO,KAAG,EAAE,gCAA8B,EAAE,IAAI,8BAA8B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,+BAA6B,WAAU;AAAC,gBAAO,KAAG,EAAE,+BAA6B,EAAE,IAAI,6BAA6B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAG,EAAE,mBAAiB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC;AAAE,QAAE,mBAAiB,IAAG,EAAE,aAAW,IAAG,EAAE,QAAM,IAAG,EAAE,aAAW,IAAG,EAAE,UAAQ;AAAG,UAAI;AAAG,WAAG,SAAS,IAAG;AAAC,cAAI,GAAG,GAAE,OAAK,KAAG;AAAA,MAAE;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG,IAAE,KAAG,GAAE,KAAG;AAAE;AAAO,YAAG,GAAE;AAAC,YAAE,CAAC,GAAE,GAAG,GAAE,YAAY,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,GAAG,GAAE,KAAG;AAAE;AAAO,iBAAS,IAAG;AAAC,iBAAK,KAAG,MAAG,EAAE,YAAU,MAAG,CAAC,OAAK,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,wBAAsB,EAAE,qBAAqB,GAAE,GAAG;AAAA,QAAG;AAAC,UAAE,aAAW,EAAE,UAAU,YAAY,GAAE,WAAW,WAAU;AAAC,qBAAW,WAAU;AAAC,cAAE,UAAU,EAAE;AAAA,UAAC,GAAE,CAAC,GAAE,EAAE;AAAA,QAAC,GAAE,CAAC,KAAG,EAAE;AAAA,MAAC;AAAC,UAAG,EAAE;AAAQ,aAAI,OAAO,EAAE,WAAS,eAAa,EAAE,UAAQ,CAAC,EAAE,OAAO,IAAG,EAAE,QAAQ,SAAO;AAAG,YAAE,QAAQ,IAAI,EAAE;AAAE,SAAG;AAAE,UAAI;AAAG,YAAI,KAAG,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,kBAAkB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,mBAAmB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,EAAC;AAAG,UAAI;AAAG,UAAG,OAAO,qBAAmB;AAAY,aAAG;AAAA,eAA0B,OAAO,KAAG;AAAY,aAAG;AAAA;AAAO,cAAM,IAAI,MAAM,uCAAuC;AAAE,UAAG,IAAG;AAAC,YAAI,KAAG,GAAG;AAAS,WAAG,WAAS,WAAU;AAAC,aAAG,GAAE,GAAG,kBAAkB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,qBAAoB,CAAC;AAAA,UAAC,CAAC,GAAE,GAAG,mBAAmB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,sBAAqB,CAAC;AAAA,UAAC,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,aAAO,EAAE;AAAA,IAAK;AAAA,EAAC,GAAG;AAAE,SAAO,MAAI,YAAU,OAAO,MAAI,WAAS,GAAG,UAAQ,KAAG,OAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,CAAC,GAAE,WAAU;AAAC,WAAO;AAAA,EAAE,CAAC,IAAE,OAAO,MAAI,aAAW,GAAG,gCAA8B;AAAG,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,KAAG,QAAQ,qBAAmB;AAAA;AACv5uB,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,MAAI,MAAI,MAAI;AAAC,QAAI,IAAE,OAAO,YAAU,eAAa,SAAS,gBAAc,SAAS,cAAc,MAAI;AAAO,WAAO,OAAO,cAAY,gBAAc,IAAE,KAAG,aAAY,SAAS,GAAE;AAAC,UAAE,KAAG,CAAC;AAAE,UAAIA,MAAE,OAAO,KAAG,cAAY,IAAE,CAAC,GAAE,GAAE;AAAE,MAAAA,IAAE,QAAM,IAAI,QAAQ,SAAS,GAAE,IAAG;AAAC,YAAE,GAAE,IAAE;AAAA,MAAE,CAAC;AAAE,UAAI;AAAE,aAAO,WAAS,eAAa,QAAQ,cAAY,IAAE,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAC;AAAG,UAAI,IAAE,OAAO,OAAO,CAAC,GAAEA,GAAC,GAAE,IAAE,CAAC,GAAE,IAAE,kBAAiB,IAAE,CAAC,GAAE,OAAK;AAAC,cAAM;AAAA,MAAE,GAAE,IAAE,OAAO,UAAQ,UAAS,IAAE,OAAO,iBAAe,YAAW,IAAE,OAAO,WAAS,YAAU,OAAO,QAAQ,YAAU,YAAU,OAAO,QAAQ,SAAS,QAAM,UAAS,IAAE;AAAG,eAAS,EAAE,GAAE;AAAC,eAAOA,IAAE,aAAWA,IAAE,WAAW,GAAE,CAAC,IAAE,IAAE;AAAA,MAAC;AAAC,UAAI,GAAE,GAAE,GAAE;AAAE,eAAS,EAAE,GAAE;AAAC,YAAG,aAAa;AAAG;AAAO,UAAE,+BAA6B,CAAC;AAAA,MAAC;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,GAAG;AAAE,YAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,MAAI,IAAE,YAAU,KAAI,IAAE,CAAC,GAAE,QAAM,IAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,aAAa,GAAE,KAAG,SAAO,MAAM,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,EAAE,GAAE,IAAE;AAAE,iBAAO,GAAG,WAAS,KAAG,IAAI,WAAW,EAAE,IAAG;AAAA,QAAE,GAAE,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,SAAS,GAAE,SAAS,IAAG,IAAG;AAAC,iBAAG,GAAG,EAAE,IAAE,GAAG,GAAG,MAAM;AAAA,UAAC,CAAC;AAAA,QAAC,GAAE,QAAQ,KAAK,SAAO,MAAI,IAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,OAAM,GAAG,IAAG,IAAE,QAAQ,KAAK,MAAM,CAAC,GAAE,QAAQ,GAAG,qBAAoB,SAAS,GAAE;AAAC,cAAG,EAAE,aAAa;AAAI,kBAAM;AAAA,QAAC,CAAC,GAAE,QAAQ,GAAG,sBAAqB,SAAS,GAAE;AAAC,gBAAM;AAAA,QAAC,CAAC,GAAE,IAAE,CAAC,GAAE,OAAK;AAAC,cAAG,GAAG;AAAE,kBAAM,QAAQ,WAAS,GAAE;AAAG,YAAE,EAAE,GAAE,QAAQ,KAAK,CAAC;AAAA,QAAC,GAAEA,IAAE,UAAQ,WAAU;AAAC,iBAAM;AAAA,QAA4B;AAAA,MAAC;AAAK,SAAC,KAAG,OAAK,IAAE,IAAE,KAAK,SAAS,OAAK,OAAO,YAAU,eAAa,SAAS,kBAAgB,IAAE,SAAS,cAAc,MAAK,MAAI,IAAE,IAAG,EAAE,QAAQ,OAAO,MAAI,IAAE,IAAE,EAAE,OAAO,GAAE,EAAE,QAAQ,UAAS,EAAE,EAAE,YAAY,GAAG,IAAE,CAAC,IAAE,IAAE,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,IAAI;AAAe,iBAAO,GAAG,KAAK,OAAM,GAAE,KAAE,GAAE,GAAG,KAAK,IAAI,GAAE,GAAG;AAAA,QAAY,GAAE,MAAI,IAAE,OAAG;AAAC,cAAI,KAAG,IAAI;AAAe,iBAAO,GAAG,KAAK,OAAM,GAAE,KAAE,GAAE,GAAG,eAAa,eAAc,GAAG,KAAK,IAAI,GAAE,IAAI,WAAW,GAAG,QAAQ;AAAA,QAAC,IAAG,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAI,KAAG,IAAI;AAAe,aAAG,KAAK,OAAM,GAAE,IAAE,GAAE,GAAG,eAAa,eAAc,GAAG,SAAO,MAAI;AAAC,gBAAG,GAAG,UAAQ,OAAK,GAAG,UAAQ,KAAG,GAAG,UAAS;AAAC,iBAAG,GAAG,QAAQ;AAAE;AAAA,YAAM;AAAC,eAAG;AAAA,UAAC,GAAE,GAAG,UAAQ,IAAG,GAAG,KAAK,IAAI;AAAA,QAAC,GAAE,IAAE,OAAG,SAAS,QAAM;AAAG,UAAI,IAAEA,IAAE,SAAO,QAAQ,IAAI,KAAK,OAAO,GAAE,IAAEA,IAAE,YAAU,QAAQ,KAAK,KAAK,OAAO;AAAE,aAAO,OAAOA,KAAE,CAAC,GAAE,IAAE,MAAKA,IAAE,cAAY,IAAEA,IAAE,YAAWA,IAAE,gBAAc,IAAEA,IAAE,cAAaA,IAAE,SAAO,IAAEA,IAAE;AAAM,UAAI,IAAE,GAAE;AAAE,MAAAA,IAAE,eAAa,IAAEA,IAAE;AAAY,UAAI,IAAEA,IAAE,iBAAe;AAAG,aAAO,eAAa,YAAU,GAAG,iCAAiC;AAAE,UAAI,GAAE,IAAE,OAAG;AAAE,eAAS,EAAE,GAAE,IAAG;AAAC,aAAG,GAAG,EAAE;AAAA,MAAC;AAAC,UAAI,IAAE,OAAO,eAAa,cAAY,IAAI,YAAY,MAAM,IAAE;AAAO,eAAS,EAAE,GAAE,IAAG,IAAG;AAAC,iBAAQ,KAAG,KAAG,IAAG,KAAG,IAAG,EAAE,EAAE,KAAG,EAAE,MAAI;AAAK,YAAE;AAAG,YAAG,KAAG,KAAG,MAAI,EAAE,UAAQ;AAAE,iBAAO,EAAE,OAAO,EAAE,SAAS,IAAG,EAAE,CAAC;AAAE,iBAAQ,KAAG,IAAG,KAAG,MAAI;AAAC,cAAI,KAAG,EAAE,IAAI;AAAE,cAAG,EAAE,KAAG,MAAK;AAAC,kBAAI,OAAO,aAAa,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,IAAI,IAAE;AAAG,eAAI,KAAG,QAAM,KAAI;AAAC,kBAAI,OAAO,cAAc,KAAG,OAAK,IAAE,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,IAAI,IAAE;AAAG,eAAI,KAAG,QAAM,MAAI,MAAI,KAAG,OAAK,KAAG,MAAI,IAAE,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,EAAE,IAAI,IAAE,IAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,EAAE;AAAA,eAAM;AAAC,gBAAI,KAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,QAAM,MAAI,IAAG,QAAM,KAAG,IAAI;AAAA,UAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG;AAAC,eAAO,IAAE,EAAE,IAAG,GAAE,EAAE,IAAE;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG,IAAG,IAAG;AAAC,YAAG,EAAE,KAAG;AAAG,iBAAO;AAAE,iBAAQ,KAAG,IAAG,KAAG,KAAG,KAAG,GAAE,KAAG,GAAE,KAAG,EAAE,QAAO,EAAE,IAAG;AAAC,cAAI,KAAG,EAAE,WAAW,EAAE;AAAE,cAAG,MAAI,SAAO,MAAI,OAAM;AAAC,gBAAI,KAAG,EAAE,WAAW,EAAE,EAAE;AAAE,iBAAG,UAAQ,KAAG,SAAO,MAAI,KAAG;AAAA,UAAI;AAAC,cAAG,MAAI,KAAI;AAAC,gBAAG,MAAI;AAAG;AAAM,eAAG,IAAI,IAAE;AAAA,UAAE,WAAS,MAAI,MAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,IAAI,IAAE,MAAI,MAAI,GAAE,GAAG,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE,WAAS,MAAI,OAAM;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,IAAI,IAAE,MAAI,MAAI,IAAG,GAAG,IAAI,IAAE,MAAI,MAAI,IAAE,IAAG,GAAG,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE,OAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,IAAI,IAAE,MAAI,MAAI,IAAG,GAAG,IAAI,IAAE,MAAI,MAAI,KAAG,IAAG,GAAG,IAAI,IAAE,MAAI,MAAI,IAAE,IAAG,GAAG,IAAI,IAAE,MAAI,KAAG;AAAA,UAAE;AAAA,QAAC;AAAC,eAAO,GAAG,EAAE,IAAE,GAAE,KAAG;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG,IAAG;AAAC,eAAO,EAAE,GAAE,IAAG,IAAG,EAAE;AAAA,MAAC;AAAC,UAAI,GAAE,IAAG,IAAG,GAAE,IAAG,IAAG,IAAG,IAAG;AAAG,eAAS,GAAG,GAAE;AAAC,YAAE,GAAEA,IAAE,QAAM,KAAG,IAAI,UAAU,CAAC,GAAEA,IAAE,SAAO,IAAE,IAAI,WAAW,CAAC,GAAEA,IAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAEA,IAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,aAAa,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,aAAa,CAAC;AAAA,MAAC;AAAC,UAAI,KAAGA,IAAE,kBAAgB,UAAS,IAAG,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAGA,IAAE;AAAO,eAAI,OAAOA,IAAE,UAAQ,eAAaA,IAAE,SAAO,CAACA,IAAE,MAAM,IAAGA,IAAE,OAAO;AAAQ,eAAGA,IAAE,OAAO,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,aAAG,MAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAGA,IAAE;AAAQ,eAAI,OAAOA,IAAE,WAAS,eAAaA,IAAE,UAAQ,CAACA,IAAE,OAAO,IAAGA,IAAE,QAAQ;AAAQ,eAAGA,IAAE,QAAQ,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,GAAE,KAAG,MAAK,KAAG;AAAK,eAAS,GAAG,GAAE;AAAC,cAAKA,IAAE,0BAAwBA,IAAE,uBAAuB,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG,MAAKA,IAAE,0BAAwBA,IAAE,uBAAuB,EAAE,GAAE,MAAI,MAAI,OAAK,SAAO,cAAc,EAAE,GAAE,KAAG,OAAM,KAAI;AAAC,cAAI,KAAG;AAAG,eAAG,MAAK,GAAG;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,QAAAA,IAAE,WAASA,IAAE,QAAQ,CAAC,GAAE,IAAE,aAAW,IAAE,KAAI,EAAE,CAAC,GAAE,IAAE,MAAG,IAAE,GAAE,KAAG;AAA2C,YAAI,KAAG,IAAI,YAAY,aAAa,CAAC;AAAE,cAAM,EAAE,EAAE,GAAE;AAAA,MAAE;AAAC,UAAI,KAAG;AAAwC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,SAAS;AAAA,MAAC;AAAC,UAAI;AAAG,WAAG,0BAAyB,GAAG,EAAE,MAAI,KAAG,EAAE,EAAE;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,cAAG,KAAG,MAAI;AAAE,mBAAO,IAAI,WAAW,CAAC;AAAE,cAAG;AAAE,mBAAO,EAAE,CAAC;AAAE,gBAAK;AAAA,QAAiD,SAAO,IAAN;AAAU,aAAG,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,MAAI,KAAG,IAAG;AAAC,cAAG,OAAO,SAAO,cAAY,CAAC,GAAG,EAAE;AAAE,mBAAO,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,GAAE;AAAC,kBAAG,CAAC,EAAE;AAAG,sBAAK,yCAAuC,KAAG;AAAI,qBAAO,EAAE,YAAY;AAAA,YAAC,CAAC,EAAE,MAAM,WAAU;AAAC,qBAAO,GAAG,EAAE;AAAA,YAAC,CAAC;AAAE,cAAG;AAAE,mBAAO,IAAI,QAAQ,SAAS,GAAE,IAAG;AAAC,gBAAE,IAAG,SAAS,IAAG;AAAC,kBAAE,IAAI,WAAW,EAAE,CAAC;AAAA,cAAC,GAAE,EAAE;AAAA,YAAC,CAAC;AAAA,QAAC;AAAC,eAAO,QAAQ,QAAQ,EAAE,KAAK,WAAU;AAAC,iBAAO,GAAG,EAAE;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,EAAC,KAAI,IAAG,wBAAuB,GAAE;AAAE,iBAAS,GAAG,IAAG,IAAG;AAAC,cAAI,KAAG,GAAG;AAAQ,UAAAA,IAAE,MAAI,IAAG,IAAEA,IAAE,IAAI,QAAO,GAAG,EAAE,MAAM,GAAE,KAAGA,IAAE,IAAI,2BAA0B,GAAGA,IAAE,IAAI,iBAAiB,GAAE,GAAG,kBAAkB;AAAA,QAAC;AAAC,WAAG,kBAAkB;AAAE,iBAAS,GAAG,IAAG;AAAC,aAAG,GAAG,QAAQ;AAAA,QAAC;AAAC,iBAAS,GAAG,IAAG;AAAC,iBAAO,GAAG,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO,YAAY,YAAY,IAAG,CAAC;AAAA,UAAC,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO;AAAA,UAAE,CAAC,EAAE,KAAK,IAAG,SAAS,IAAG;AAAC,cAAE,4CAA0C,EAAE,GAAE,GAAG,EAAE;AAAA,UAAC,CAAC;AAAA,QAAC;AAAC,iBAAS,KAAI;AAAC,iBAAM,CAAC,KAAG,OAAO,YAAY,wBAAsB,cAAY,CAAC,GAAG,EAAE,KAAG,CAAC,GAAG,EAAE,KAAG,CAAC,KAAG,OAAO,SAAO,aAAW,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,gBAAI,KAAG,YAAY,qBAAqB,IAAG,CAAC;AAAE,mBAAO,GAAG,KAAK,IAAG,SAAS,IAAG;AAAC,qBAAO,EAAE,oCAAkC,EAAE,GAAE,EAAE,2CAA2C,GAAE,GAAG,EAAE;AAAA,YAAC,CAAC;AAAA,UAAC,CAAC,IAAE,GAAG,EAAE;AAAA,QAAC;AAAC,YAAGA,IAAE;AAAgB,cAAG;AAAC,gBAAI,KAAGA,IAAE,gBAAgB,GAAE,EAAE;AAAE,mBAAO;AAAA,UAAE,SAAO,IAAN;AAAU,cAAE,wDAAsD,EAAE,GAAE,EAAE,EAAE;AAAA,UAAC;AAAC,eAAO,GAAG,EAAE,MAAM,CAAC,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,IAAG;AAAG,eAAS,GAAG,GAAE;AAAC,aAAK,OAAK,cAAa,KAAK,UAAQ,kCAAgC,IAAE,KAAI,KAAK,SAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAK,EAAE,SAAO;AAAG,YAAE,MAAM,EAAEA,GAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAU;AAAC,eAAS,KAAI;AAAC,eAAO,GAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG;AAAC,WAAG,WAAW,GAAE,IAAG,KAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,iBAAO,EAAE,KAAK,IAAE,EAAE,aAAW,UAAQ,EAAE,GAAE,GAAG,EAAE,MAAM,GAAE;AAAA,QAAC,SAAO,IAAN;AAAA,QAAU;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,KAAG,GAAG;AAAO,YAAE,MAAI;AAAE,YAAI,KAAG,GAAG;AAAE,YAAG,IAAE;AAAG,iBAAM;AAAG,YAAI,KAAG,CAAC,IAAG,OAAK,MAAI,KAAG,KAAG,MAAI;AAAG,iBAAQ,KAAG,GAAE,MAAI,GAAE,MAAI,GAAE;AAAC,cAAI,KAAG,MAAI,IAAE,MAAG;AAAI,eAAG,KAAK,IAAI,IAAG,IAAE,SAAS;AAAE,cAAI,KAAG,KAAK,IAAI,IAAG,GAAG,KAAK,IAAI,GAAE,EAAE,GAAE,KAAK,CAAC,GAAE,KAAG,GAAG,EAAE;AAAE,cAAG;AAAG,mBAAM;AAAA,QAAE;AAAC,eAAM;AAAA,MAAE;AAAC,UAAI,KAAG,EAAC,SAAQ,QAAO,KAAI,WAAU;AAAC,WAAG,WAAS;AAAE,YAAI,IAAE,GAAG,GAAG,UAAQ,KAAG,CAAC;AAAE,eAAO;AAAA,MAAC,GAAE,QAAO,SAAS,GAAE;AAAC,YAAI,KAAG,EAAE,CAAC;AAAE,eAAO;AAAA,MAAE,EAAC;AAAE,eAAS,GAAG,GAAE;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG,IAAG;AAAC,eAAO;AAAA,MAAE;AAAC,UAAI,KAAG,CAAC,MAAK,CAAC,GAAE,CAAC,CAAC;AAAE,eAAS,GAAG,GAAE,IAAG;AAAC,YAAI,KAAG,GAAG,CAAC;AAAE,eAAK,KAAG,OAAK,OAAK,MAAI,IAAE,IAAE,GAAG,EAAE,IAAG,CAAC,CAAC,GAAE,GAAG,SAAO,KAAG,GAAG,KAAK,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG;AAAC,iBAAQ,KAAG,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,cAAI,KAAG,GAAG,MAAI,CAAC,GAAE,KAAG,GAAG,KAAG,KAAG,CAAC;AAAE,gBAAI;AAAE,mBAAQ,KAAG,GAAE,KAAG,IAAG;AAAK,eAAG,GAAE,GAAG,KAAG,EAAE,CAAC;AAAE,gBAAI;AAAA,QAAE;AAAC,eAAO,GAAG,MAAI,CAAC,IAAE,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,KAAGA,IAAE,MAAI,CAAC;AAAE,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG;AAAC,WAAG,IAAI,GAAE,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG,IAAG;AAAC,YAAI,KAAG,EAAC,QAAO,QAAI;AAAC,cAAI,KAAG;AAAE,cAAG,MAAI,QAAM,OAAK,GAAE;AAAC,gBAAI,MAAI,GAAG,UAAQ,KAAG;AAAE,iBAAG,GAAG,EAAE,GAAE,EAAE,IAAG,IAAG,EAAE;AAAA,UAAC;AAAC,iBAAO;AAAA,QAAE,GAAE,OAAM,QAAI;AAAC,cAAI,KAAG,GAAG,GAAG,MAAM;AAAE,iBAAO,GAAG,IAAG,EAAE,GAAE;AAAA,QAAE,EAAC;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,WAAS,EAAE,EAAE,IAAE,OAAK,YAAU,CAAC,CAAC,KAAG;AAAA,QAAE;AAAC,YAAI,KAAG,GAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG;AAAG,mBAAQ,KAAG,GAAE,KAAG,GAAG,QAAO,MAAK;AAAC,gBAAI,KAAG,GAAG,GAAG,EAAE,CAAC;AAAE,kBAAI,OAAK,MAAI,KAAG,GAAG,IAAG,GAAG,EAAE,IAAE,GAAG,GAAG,EAAE,CAAC,KAAG,GAAG,EAAE,IAAE,GAAG,EAAE;AAAA,UAAC;AAAC,YAAI,KAAG,GAAG,MAAM,MAAK,EAAE;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,KAAG,GAAG,EAAE,GAAE,GAAG,EAAE;AAAA,QAAC;AAAC,eAAO,KAAG,GAAG,EAAE,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG;AAAC,aAAG,MAAI,CAAC;AAAE,YAAI,KAAG,GAAG,MAAM,QAAI,OAAK,YAAU,OAAK,SAAS,GAAE,KAAG,OAAK;AAAS,eAAO,MAAI,MAAI,CAAC,KAAG,GAAG,CAAC,IAAE,WAAU;AAAC,iBAAO,GAAG,GAAE,IAAG,IAAG,WAAU,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,OAAM,IAAG,yBAAwB,IAAG,uBAAsB,IAAG,wBAAuB,IAAG,UAAS,IAAG,SAAQ,IAAG,UAAS,GAAE,GAAE,KAAG,GAAG,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAGA,IAAE,2BAAyBA,IAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAGA,IAAE,mBAAiBA,IAAE,IAAI,iBAAiB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAGA,IAAE,yBAAuBA,IAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAGA,IAAE,kBAAgBA,IAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAGA,IAAE,wBAAsBA,IAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAGA,IAAE,kBAAgBA,IAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAGA,IAAE,yBAAuBA,IAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAGA,IAAE,oBAAkBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAGA,IAAE,0BAAwBA,IAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAGA,IAAE,oBAAkBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAGA,IAAE,mBAAiBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC;AAAE,MAAAA,IAAE,QAAM;AAAG,UAAI;AAAG,WAAG,SAAS,IAAG;AAAC,cAAI,GAAG,GAAE,OAAK,KAAG;AAAA,MAAE;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG,IAAE,KAAG,GAAE,KAAG,MAAI,GAAG,GAAE,KAAG;AAAG;AAAO,iBAAS,KAAI;AAAC,iBAAK,KAAG,MAAGA,IAAE,YAAU,MAAG,CAAC,MAAI,GAAG,GAAE,EAAEA,GAAC,GAAEA,IAAE,wBAAsBA,IAAE,qBAAqB,GAAE,GAAG;AAAA,QAAG;AAAC,QAAAA,IAAE,aAAWA,IAAE,UAAU,YAAY,GAAE,WAAW,WAAU;AAAC,qBAAW,WAAU;AAAC,YAAAA,IAAE,UAAU,EAAE;AAAA,UAAC,GAAE,CAAC,GAAE,GAAG;AAAA,QAAC,GAAE,CAAC,KAAG,GAAG;AAAA,MAAC;AAAC,UAAGA,IAAE;AAAQ,aAAI,OAAOA,IAAE,WAAS,eAAaA,IAAE,UAAQ,CAACA,IAAE,OAAO,IAAGA,IAAE,QAAQ,SAAO;AAAG,UAAAA,IAAE,QAAQ,IAAI,EAAE;AAAE,SAAG;AAAE,UAAI;AAAG,YAAI,KAAG,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,kBAAkB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,mBAAmB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,EAAC;AAAG,UAAI;AAAG,UAAG,OAAO,KAAG;AAAY,aAAG;AAAA,eAAU,OAAO,iCAA+B;AAAY,aAAG;AAAA;AAAmC,cAAM,IAAI,MAAM,uCAAuC;AAAE,UAAG,IAAG;AAAC,YAAI,KAAG,GAAG;AAAS,WAAG,WAAS,WAAU;AAAC,aAAG,GAAE,GAAG,kBAAkB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,qBAAoB,CAAC;AAAA,UAAC,CAAC,GAAE,GAAG,mBAAmB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,sBAAqB,CAAC;AAAA,UAAC,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,aAAO,EAAE;AAAA,IAAK;AAAA,EAAC,GAAG;AAAE,SAAO,MAAI,YAAU,OAAO,MAAI,WAAS,GAAG,UAAQ,KAAG,OAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,CAAC,GAAE,WAAU;AAAC,WAAO;AAAA,EAAE,CAAC,IAAE,OAAO,MAAI,aAAW,GAAG,oBAAkB;AAAG,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,UAAQ,GAAE,KAAK,YAAUA,KAAE,KAAK,OAAK,oBAAI,WAAQ,KAAK,eAAa;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC,KAAG,KAAK,UAAU,SAAS,KAAK,SAAQ,CAAC,GAAE,KAAK,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAEA,KAAE;AAAC,SAAK,gBAAe,KAAK,KAAK,IAAI,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,WAAO,KAAK,gBAAe,KAAK,KAAK,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK;AAAA,EAAY;AAAC;AAA/W,IAAiX,KAAG,MAAK;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,UAAU;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,WAAO,GAAG,QAAQ;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,UAAU;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,WAAO,GAAG,WAAW;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,YAAY;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,WAAO,GAAG,aAAa;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,OAAO;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,yBAAyB;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAO,GAAG,QAAQ;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO,GAAG,gBAAgB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,eAAe,MAAI,KAAG,OAAK;AAAA,EAAI;AAAA,EAAC,UAAS;AAAC,WAAO,GAAG,SAAS;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,QAAM,IAAI,MAAM,IAAI,2HAA2H;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,QAAOA,MAAE;AAAE,SAAK,IAAE;AAAG,IAAAA,MAAE,KAAK,OAAO,IAAE,IAAE,GAAE,KAAI,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,yEAAyE,EAAE,iCAAiC,EAAE,QAAQ;AAAE,MAAIA,MAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAO,IAAEA,MAAE,GAAEA,OAAI,GAAG,GAAEA,KAAE,CAAC,GAAE,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,KAAK,IAAI,GAAE,KAAK,IAAI,GAAEA,GAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI,IAAE,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,IAAE,CAAC,IAAE,EAAEA,GAAC,GAAE,EAAEA,GAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,KAAK,OAAO;AAAE,SAAO,IAAEA,OAAG,IAAEA,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,CAAC,IAAE,OAAO,EAAE,CAAC,CAAC;AAAE,IAAAA,OAAG,IAAE;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,EAAE,GAAE,GAAE;AAAC,MAAG,CAAC;AAAE,UAAM,IAAI,MAAM,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,IAAE,GAAG,GAAE,CAAC,GAAE,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,KAAG,MAAK,MAAI,+DAA+D;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAS;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAG,KAAG,QAAM,KAAG,QAAM,EAAE,WAAS,EAAE;AAAO,WAAM;AAAG,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,QAAG,EAAEA,GAAC,MAAI,EAAEA,GAAC;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAK,QAAM;AAAK,WAAO,KAAK,KAAK,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,WAAO;AAAE,MAAG,MAAI,KAAG;AAAE,WAAM;AAAG;AAAC,QAAI,IAAE,KAAK,IAAI,IAAE,CAAC;AAAE,YAAO,IAAE,MAAI,IAAE;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,YAAY,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,GAAE,EAAEA;AAAE,MAAEA,GAAC,IAAEA;AAAE,SAAO,GAAG,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,KAAG,EAAE,SAAO,IAAE,IAAE,IAAI,OAAO,IAAE,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG,GAAEA,KAAE,GAAE;AAAC,SAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAE,IAAE,MAAI;AAAC,UAAG,EAAE,GAAE;AAAC,UAAE;AAAE;AAAA,MAAM;AAAC;AAAI,UAAI,IAAE,EAAE,CAAC;AAAE,UAAGA,OAAG,QAAM,KAAGA,KAAE;AAAC,UAAE;AAAE;AAAA,MAAM;AAAC,WAAG,OAAK,EAAE,GAAE,CAAC,IAAE,WAAW,GAAE,CAAC;AAAA,IAAC;AAAE,MAAE;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAG,EAAE,CAAC,KAAG;AAAE,MAAAA,OAAG,EAAE,CAAC;AAAA,aAAU,EAAE,CAAC,MAAI,IAAG;AAAC,UAAG,MAAI;AAAG,cAAM,MAAM,yDAAyD,aAAa,GAAG;AAAE,UAAE;AAAA,IAAC,WAAS,EAAE,CAAC,IAAE;AAAE,YAAM,MAAM,gCAAgC,EAAE,CAAC,YAAY,GAAG;AAAE,MAAG,MAAI,IAAG;AAAC,QAAG,IAAE,KAAG,MAAIA;AAAE,YAAM,MAAM,QAAQ,sCAAsC,GAAG;AAAE,WAAO;AAAA,EAAC;AAAC,MAAGA,QAAI;AAAE,UAAM,MAAM,qCAAqC,8BAA8B;AAAE,MAAG,IAAEA,QAAI;AAAE,UAAM,MAAM,wDAAwD,OAAOA,KAAG;AAAE,MAAI,IAAE,EAAE,MAAM;AAAE,SAAO,EAAE,CAAC,IAAE,IAAEA,KAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAO,IAAE,KAAG,OAAK,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,IAAE,CAAC,EAAE,OAAO,CAAC,GAAE,EAAE,EAAE,MAAM,OAAG,KAAG,CAACA,OAAG,IAAEA,GAAC,GAAE,MAAI,+CAA+CA,QAAMA,qBAAmB,GAAG,GAAE,EAAE,EAAE,MAAM,OAAG,GAAG,CAAC,CAAC,GAAE,MAAI,0DAA0D,GAAG,GAAE,EAAE,IAAI,OAAG,IAAE,IAAEA,MAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAS,GAAE,IAAE,KAAG,QAAM,IAAE,OAAK,GAAG,GAAE,CAAC,EAAE,KAAK,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAG,KAAG,MAAK;AAAC,UAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,cAAM,IAAI,MAAM,sBAAsB,oBAAoB,EAAE,CAAC,aAAa;AAAE,OAAC,EAAE,CAAC,KAAG,QAAM,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,CAAC,KAAG,KAAG;AAAA,IAAG;AAAC,MAAE,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,SAAM,EAAC,UAASA,KAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAK,MAAG,KAAG,QAAM,MAAI;AAAU,IAAAA,MAAE,IAAI,aAAa,CAAC;AAAA,WAAU,MAAI;AAAQ,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA,WAAU,MAAI;AAAO,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,qBAAqB,GAAG;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAK,MAAG,KAAG,QAAM,MAAI;AAAU,IAAAA,MAAE,IAAI,aAAa,CAAC;AAAA,WAAU,MAAI;AAAQ,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA,WAAU,MAAI;AAAO,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA,WAAU,MAAI;AAAS,IAAAA,MAAE,IAAI,MAAM,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,qBAAqB,GAAG;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,QAAI,IAAE,EAAEA,GAAC;AAAE,QAAG,MAAM,CAAC,KAAG,CAAC,SAAS,CAAC;AAAE,YAAM,MAAM,oBAAoB,6BAA6B,IAAI;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,UAAQ,MAAI,eAAa,MAAI,aAAW,MAAI,WAAS,MAAI;AAAQ;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,EAAE,MAAI,eAAa,MAAI,aAAW,MAAI,eAAa,MAAI,WAAS,MAAI,aAAW,MAAI,eAAa,MAAI,UAAQ,MAAI;AAAO;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI;AAAQ,WAAO;AAAE,MAAG,MAAI;AAAY,WAAO;AAAE,MAAG,MAAI;AAAO,WAAO;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAK,WAAO;AAAE,MAAI,IAAE;AAAE,SAAO,EAAE,QAAQ,CAAAA,QAAG,KAAGA,IAAE,MAAM,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,YAAU,aAAa;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG;AAAS;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG;AAAQ;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAM,QAAQ,CAAC,IAAE,GAAG,EAAE,CAAC,CAAC,IAAE,aAAa,eAAa,YAAU,aAAa,cAAY,aAAa,cAAY,aAAa,oBAAkB,UAAQ,GAAG,CAAC,IAAE,YAAU,GAAG,CAAC,IAAE,WAAS,GAAG,CAAC,IAAE,SAAO;AAAS;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,EAAE,KAAG,EAAE,eAAa,EAAE,QAAM,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,GAAE,EAAEA;AAAE,QAAG,IAAEA,QAAI;AAAE,aAAOA;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,WAAM,CAAC;AAAE,MAAIA,MAAE,IAAI,MAAM,IAAE,CAAC;AAAE,EAAAA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,IAAAA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,IAAI;AAAM,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,KAAG,IAAE,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAEA,IAAE,IAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,KAAG,IAAE,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,GAAG,IAAE,IAAE,GAAE,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,KAAGA,MAAE,IAAE;AAAG,MAAG,MAAI;AAAE,WAAM,CAAC;AAAE,MAAG,MAAI,EAAE;AAAO,UAAM,IAAI,MAAM,IAAI,oCAAoC,EAAE,SAASA,MAAE,0BAAwB,KAAK;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAM,QAAQ,CAAC;AAAE,WAAO;AAAE,MAAG,MAAI;AAAU,WAAO,aAAa,eAAa,IAAE,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,aAAa,aAAW,IAAE,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI,UAAQ,MAAI;AAAS,WAAO,WAAW,KAAK,IAAI,WAAW,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG,QAAM,MAAI,aAAW,MAAI;AAAY,WAAO,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI;AAAO,WAAO,IAAI,WAAW,CAAC;AAAE,QAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC;AAAE,MAAG,KAAG,QAAM,MAAI;AAAU,WAAO,GAAG,GAAE,IAAI,aAAaA,GAAC,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAE,IAAI,WAAWA,GAAC,CAAC;AAAE,MAAG,MAAI;AAAO,WAAO,GAAG,GAAE,IAAI,WAAWA,GAAC,CAAC;AAAE,QAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,QAAQ,OAAG;AAAC,MAAE,OAAO,UAAU,CAAC,KAAG,KAAG,GAAE,MAAI,0EAA0E,KAAK;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAO;AAAE,MAAG,MAAI;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,SAAGA,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,KAAK,MAAM,IAAEA,IAAE,CAAC,CAAC,GAAE,KAAG,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,EAAE,QAAM,OAAO,EAAE,QAAM;AAAU;AAAC,IAAI,KAAG;AAAP,IAAmB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,QAAM,CAAC,GAAE,KAAK,eAAa,CAAC,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,iBAAe,IAAG,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,YAAU,SAAO,EAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoE,IAAI,IAAG,KAAK,eAAa,GAAE,KAAK,WAASA;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,aAAa,CAAC,IAAE,EAAC,cAAaA,KAAE,SAAQ,EAAC,GAAE,KAAK,SAAS,CAAC,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,SAAS,CAAC;AAAE,QAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,qCAAqC,MAAM,IAAI,GAAE,KAAK,IAAI,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,QAAM,KAAK,MAAM,CAAC,KAAG,KAAK,MAAM,CAAC,IAAE,MAAM,KAAK,aAAa,CAAC,GAAE,KAAK,MAAM,CAAC;AAAA,EAAE;AAAA,EAAC,IAAI,GAAE;AAAC,QAAG,KAAK,KAAK;AAAM,aAAO,KAAK,MAAM,CAAC;AAAE,QAAIA,MAAE,KAAK,aAAa,CAAC;AAAE,QAAG,GAAGA,GAAC;AAAE,YAAM,IAAI,MAAM,QAAQ,qEAAqE;AAAE,WAAO,KAAK,MAAM,CAAC,IAAEA,KAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,WAAO,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,IAAI,WAAU;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,IAAI,GAAEA,KAAE;AAAC,QAAG,KAAK,aAAa,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,mBAAmB,kCAAkC;AAAE,SAAK,MAAM,CAAC,IAAEA,KAAE,KAAK,aAAa,CAAC,EAAE,WAAS,QAAM,KAAK,aAAa,CAAC,EAAE,QAAQA,GAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAG,KAAK,aAAa,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,yBAAyB,mCAAmC;AAAE,WAAO,KAAK,aAAa,CAAC,EAAE,aAAa;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,SAAK,QAAM,OAAO,OAAO,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAO;AAAC,SAAK,QAAM,CAAC,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,QAAG,OAAO,KAAK,UAAQ,eAAa,OAAO,KAAK,OAAO,YAAU,eAAa,OAAO,KAAK,OAAO,SAAS,UAAQ;AAAY;AAAO,QAAI,IAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM;AAAE,UAAM,KAAG,EAAE,EAAE,EAAE,MAAM,GAAG,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,GAAG;AAAE,WAAK,SAAS,CAAC,IAAE,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,+BAA8B,CAACA,QAAK,OAAK,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAG,EAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,mBAAmB,CAAC,CAAC,IAAE,mBAAmBA,OAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,IAAE,EAAE,YAAY,GAAE,MAAI,UAAQ,MAAI;AAAQ,WAAO,MAAI;AAAO,MAAG,GAAG,CAAC,QAAM;AAAE,WAAM,CAAC;AAAE,QAAM,IAAI,MAAM,oCAAoC,cAAc,IAAI;AAAC;AAAC,SAAS,IAAG;AAAC,SAAO;AAAE;AAAC,IAAI,KAAG;AAAK,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,IAAI;AAAG,SAAS,KAAI;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI;AAAE,QAAG,OAAO,UAAQ;AAAY,UAAE;AAAA,aAAe,OAAO,UAAQ;AAAY,UAAE;AAAA,aAAe,OAAO,WAAS;AAAY,UAAE;AAAA,aAAgB,OAAO,QAAM;AAAY,UAAE;AAAA;AAAU,YAAM,IAAI,MAAM,gCAAgC;AAAE,SAAG;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG;AAAE,SAAO,EAAE,cAAY,SAAO,EAAE,aAAW,oBAAI,QAAK,EAAE;AAAU;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG;AAAE,MAAGA,IAAE,IAAI,CAAC;AAAE,WAAOA,IAAE,IAAI,CAAC;AAAE;AAAC,QAAI,IAAE,EAAE;AAAE,WAAOA,IAAE,IAAI,GAAE,CAAC,GAAEA,IAAE,IAAI,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAa,KAAG;AAAhB,IAAuB,KAAG;AAA1B,IAAkC,KAAG;AAArC,IAA2C,KAAG;AAA9C,IAAqD,KAAG;AAAxD,IAA8D,KAAG;AAAjE,IAAuE,KAAG;AAA1E,IAAmF,KAAG;AAAtF,IAA+F,KAAG;AAAlG,IAAyG,KAAG;AAA5G,IAAoH,KAAG;AAAvH,IAA8H,KAAG;AAAjI,IAAyI,KAAG;AAA5I,IAAoJ,KAAG;AAAvJ,IAAiK,KAAG;AAApK,IAAkL,KAAG;AAArL,IAAiM,KAAG;AAApM,IAAoN,KAAG;AAAvN,IAAqO,KAAG;AAAxO,IAAyP,KAAG;AAA5P,IAAuQ,MAAI;AAA3Q,IAAyR,KAAG;AAA5R,IAA4S,KAAG;AAA/S,IAAsT,KAAG;AAAzT,IAAgU,KAAG;AAAnU,IAAiV,KAAG;AAApV,IAA8V,KAAG;AAAjW,IAA8W,KAAG;AAAjX,IAA0X,KAAG;AAA7X,IAAsY,KAAG;AAAzY,IAAga,KAAG;AAAna,IAAyb,KAAG;AAA5b,IAAqc,KAAG;AAAxc,IAAie,KAAG;AAApe,IAA4f,KAAG;AAA/f,IAAqgB,KAAG;AAAxgB,IAA+gB,KAAG;AAAlhB,IAA4hB,KAAG;AAA/hB,IAAwiB,KAAG;AAA3iB,IAA2jB,KAAG;AAA9jB,IAA8kB,KAAG;AAAjlB,IAAgmB,KAAG;AAAnmB,IAA2nB,KAAG;AAA9nB,IAAoqB,KAAG;AAAvqB,IAA4sB,KAAG;AAA/sB,IAAstB,KAAG;AAAztB,IAAsuB,KAAG;AAAzuB,IAAmwB,KAAG;AAAtwB,IAAiyB,KAAG;AAApyB,IAA8yB,KAAG;AAAjzB,IAA0zB,KAAG;AAA7zB,IAAm0B,KAAG;AAAt0B,IAAg1B,KAAG;AAAn1B,IAAy1B,KAAG;AAA51B,IAAo2B,KAAG;AAAv2B,IAA62B,KAAG;AAAh3B,IAA63B,KAAG;AAAh4B,IAAw4B,KAAG;AAA34B,IAAi5B,KAAG;AAAp5B,IAA25B,KAAG;AAA95B,IAA86B,KAAG;AAAj7B,IAAy7B,KAAG;AAA57B,IAAu8B,KAAG;AAA18B,IAA29B,KAAG;AAA99B,IAAy+B,KAAG;AAA5+B,IAAu/B,KAAG;AAA1/B,IAAogC,KAAG;AAAvgC,IAAshC,KAAG;AAAzhC,IAAoiC,KAAG;AAAviC,IAA8iC,KAAG;AAAjjC,IAAwjC,KAAG;AAA3jC,IAAskC,KAAG;AAAzkC,IAAilC,KAAG;AAAplC,IAA4lC,KAAG;AAA/lC,IAA2mC,KAAG;AAA9mC,IAAqnC,KAAG;AAAxnC,IAAooC,KAAG;AAAvoC,IAAkpC,KAAG;AAArpC,IAA2pC,KAAG;AAA9pC,IAAsqC,KAAG;AAAzqC,IAAsrC,KAAG;AAAzrC,IAAssC,KAAG;AAAzsC,IAAqtC,KAAG;AAAxtC,IAAquC,MAAI;AAAzuC,IAAsvC,MAAI;AAA1vC,IAAuwC,KAAG;AAA1wC,IAAgxC,KAAG;AAAnxC,IAA6xC,KAAG;AAAhyC,IAAsyC,KAAG;AAAzyC,IAAmzC,KAAG;AAAtzC,IAAg0C,KAAG;AAAn0C,IAAi1C,KAAG;AAAp1C,IAAg2C,KAAG;AAAn2C,IAAm3C,KAAG;AAAt3C,IAA04C,KAAG;AAA74C,IAAo5C,KAAG;AAAv5C,IAA65C,KAAG;AAAh6C,IAA06C,KAAG;AAA76C,IAAy7C,KAAG;AAA57C,IAAk8C,KAAG;AAAr8C,IAAm9C,KAAG;AAAt9C,IAAi+C,KAAG;AAAp+C,IAA0+C,KAAG;AAA7+C,IAAw/C,KAAG;AAA3/C,IAAihD,KAAG;AAAphD,IAA0iD,KAAG;AAA7iD,IAAmkD,KAAG;AAAtkD,IAAilD,KAAG;AAAplD,IAA6lD,KAAG;AAAhmD,IAAumD,KAAG;AAA1mD,IAAknD,MAAI;AAAtnD,IAA6nD,KAAG;AAAhoD,IAAsoD,KAAG;AAAzoD,IAAipD,KAAG;AAAppD,IAA2pD,KAAG;AAA9pD,IAA6qD,KAAG;AAAhrD,IAA8rD,KAAG;AAAjsD,IAAwtD,KAAG;AAA3tD,IAAmuD,KAAG;AAAtuD,IAA6uD,KAAG;AAAhvD,IAA6vD,KAAG;AAAhwD,IAAuwD,KAAG;AAA1wD,IAAoxD,KAAG;AAAvxD,IAA+yD,KAAG;AAAlzD,IAA80D,KAAG;AAAj1D,IAAk2D,KAAG;AAAr2D,IAA03D,KAAG;AAA73D,IAAq4D,KAAG;AAAx4D,IAAk5D,KAAG;AAAr5D,IAA65D,KAAG;AAAh6D,IAAw6D,KAAG;AAA36D,IAAu7D,KAAG;AAA17D,IAAy8D,KAAG;AAA58D,IAAq9D,KAAG;AAAx9D,IAA+9D,KAAG;AAAl+D,IAA0+D,KAAG;AAA7+D,IAAm/D,KAAG;AAAt/D,IAA6/D,KAAG;AAAhgE,IAAugE,KAAG;AAA1gE,IAAohE,KAAG;AAAvhE,IAAkiE,KAAG;AAAriE,IAA4iE,KAAG;AAA/iE,IAAqjE,KAAG;AAAxjE,IAAykE,KAAG;AAA5kE,IAAqlE,KAAG;AAAxlE,IAAkmE,KAAG;AAArmE,IAA2nE,KAAG;AAA9nE,IAA8oE,KAAG;AAAjpE,IAAqqE,KAAG;AAAxqE,IAA2rE,KAAG;AAA9rE,IAA8sE,KAAG;AAAjtE,IAAquE,KAAG;AAAxuE,IAAivE,KAAG;AAApvE,IAAmwE,KAAG;AAAtwE,IAAqxE,KAAG;AAAxxE,IAAsyE,KAAG;AAAzyE,IAAk0E,KAAG;AAAr0E,IAA20E,KAAG;AAA90E,IAAo1E,KAAG;AAAv1E,IAA81E,KAAG;AAAj2E,IAAw2E,KAAG;AAA32E,IAAk3E,KAAG;AAAr3E,IAAi4E,KAAG;AAAp4E,IAAg5E,KAAG;AAAn5E,IAA45E,KAAG;AAA/5E,IAAw6E,KAAG;AAA36E,IAAg8E,MAAI;AAAp8E,IAAi9E,KAAG;AAAp9E,IAAg+E,KAAG;AAAn+E,IAA0+E,KAAG;AAA7+E,IAA0/E,KAAG;AAA7/E,IAAghF,KAAG;AAAnhF,IAAkiF,KAAG;AAAriF,IAAmjF,KAAG;AAAuB,SAAS,MAAM,GAAE;AAAC,IAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,GAAG,CAAC;AAAC;AAAC,SAAS,MAAM,GAAE;AAAC,IAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG,kBAAiB,MAAI,oBAAI,KAAG;AAAtC,IAAwC,KAAG,GAAG,gBAAe,MAAI,oBAAI,KAAG;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,IAAIA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,QAAQ,GAAEA,MAAE,CAAC;AAAE,aAAO;AAAC,QAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,KAAK;AAAE,QAAG;AAAE;AAAM,QAAG,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,CAAC,IAAE,EAAE,MAAM,GAAG;AAAE,UAAI,KAAGA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,YAAW,GAAE,aAAYA,IAAC,IAAE,GAAE,IAAE,GAAG,GAAEA,GAAC;AAAE,KAAG,IAAI,CAAC,KAAG,GAAG,eAAe,mBAAmBA,4BAA0B,GAAE,GAAG,IAAI,GAAE,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,YAAW,EAAC,IAAE;AAAE,KAAG,IAAI,CAAC,KAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,gCAAgC,IAAI,GAAE,GAAG,IAAI,GAAE,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,MAAG,CAAC,GAAG,IAAIA,GAAC;AAAE,UAAM,IAAI,MAAM,eAAe,mBAAmB,sBAAsB;AAAE,KAAG,OAAOA,GAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,CAAC,GAAG,IAAI,CAAC;AAAE,UAAM,IAAI,MAAM,iBAAiB,kCAAkC;AAAE,KAAG,OAAO,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,KAAG,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,OAAO,OAAO,CAAC,GAAE,GAAE,EAAC,aAAY,EAAC,CAAC;AAAE,OAAG,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,GAAG,KAAK;AAAG;AAAC,IAAI,IAAE,CAAC;AAAE,GAAG,GAAE,EAAC,aAAY,MAAI,IAAG,QAAO,MAAI,GAAE,oCAAmC,MAAI,IAAG,eAAc,MAAI,IAAG,mBAAkB,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,OAAM,MAAI,IAAG,gBAAe,MAAI,IAAG,oCAAmC,MAAI,IAAG,mBAAkB,MAAI,IAAG,uBAAsB,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,OAAM,MAAI,IAAG,eAAc,MAAI,IAAG,SAAQ,MAAI,IAAG,mBAAkB,MAAI,IAAG,wBAAuB,MAAI,IAAG,iBAAgB,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,wBAAuB,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,oBAAmB,MAAI,IAAG,2BAA0B,MAAI,IAAG,qBAAoB,MAAI,IAAG,gBAAe,MAAI,IAAG,mBAAkB,MAAI,IAAG,KAAI,MAAI,IAAG,gBAAe,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,UAAS,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,cAAa,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,eAAc,MAAI,IAAG,cAAa,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,GAAG,WAAS;AAAG,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,WAAW,GAAE,MAAG,EAAE;AAAC;AAAC,IAAI,KAAG,GAAG,kBAAkB;AAA5B,IAA8B,KAAG,GAAG,kBAAkB;AAAtD,IAAwD,KAAG,GAAG,kBAAkB;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,GAAE,IAAEA,GAAC;AAAE,SAAO,GAAG,UAAU,MAAM,KAAK,CAAC,GAAE,MAAG,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,IAAE,IAAE,EAAE,KAAK,CAAC,EAAE,GAAG,EAAE,IAAI,KAAG,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAG,kBAAkB,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,MAAE,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,SAAO,IAAE,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,IAAE,CAAC,GAAE,GAAG,GAAE,IAAE,EAAE,GAAE,GAAG,GAAE,IAAE,EAAE,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAG,KAAG,GAAE;AAAC,QAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAIA,GAAC,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,WAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,MAAG,KAAG,GAAE;AAAC,QAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,GAAG,GAAE,IAAE,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,MAAG,IAAE,GAAE;AAAC,QAAIA,MAAE,EAAE,CAAC,GAAE,IAAE,EAAE,KAAG,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAEA,OAAG,KAAG,IAAG,IAAE,KAAG,KAAG;AAAG,WAAO,GAAG,GAAG,IAAI,CAAC,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAI,EAAE;AAAE,SAAO,GAAG,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,EAAE,IAAIA,GAAC;AAAE,SAAO,GAAG,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,WAAW,IAAG,IAAE;AAAE,MAAG,KAAG;AAAG,WAAO,KAAG,KAAG,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAG,KAAG;AAAG,WAAO,GAAG,GAAE,CAAC;AAAE,MAAI,IAAEA,KAAE,IAAEA,IAAE,IAAI,EAAE,EAAE,IAAI,GAAG,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,CAAC,GAAG,OAAM,GAAG,KAAK,GAAE,IAAE,CAAC,GAAG,OAAM,GAAG,KAAK;AAAE,MAAE,EAAE,IAAI,EAAE,EAAE,IAAI,GAAG,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAE,KAAG,IAAE,KAAG,KAAG,IAAG,IAAE,KAAG,IAAE,IAAE,MAAI;AAAG;AAAG,QAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,IAAI,EAAE,GAAE,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,IAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,KAAG;AAAA,SAAS,MAAI;AAAG,MAAI,IAAE,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC;AAAE,SAAO,IAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,IAAE,IAAE,EAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,IAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,GAAG,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,GAAG,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,WAAS,GAAG,CAAC,IAAE,GAAG,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,aAAa,gBAAc,MAAI,aAAW,aAAa,cAAY,MAAI,WAAS,aAAa,cAAY,MAAI;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAS,UAAM,IAAI,MAAM,2CAA2C;AAAE,MAAG,MAAM,QAAQ,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,CAAC;AAAE,WAAO;AAAE,MAAG,KAAG,QAAM,MAAI,aAAW,MAAI;AAAY,WAAO,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAIA,MAAE,IAAI,WAAW,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE;AAAE,WAAK,MAAM,EAAE,CAAC,CAAC,MAAI,MAAIA,IAAE,CAAC,IAAE;AAAG,WAAOA;AAAA,EAAC;AAAM,UAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,SAAS,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,EAAE,SAAS,MAAM,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,SAAQ;AAAC,SAAO,IAAE,KAAG,SAAQ,EAAE,EAAE,SAAS,OAAO,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,SAAQ;AAAC,SAAO,IAAE,KAAG,SAAQ,EAAE,EAAE,SAAS,OAAO,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,SAAS,aAAa,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,CAAC,GAAEA,MAAE,OAAG;AAAC,MAAG,KAAG,SAAO,IAAE,CAAC,IAAG,OAAO,KAAG,aAAW,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,GAAG,CAAC,KAAG,KAAG,QAAM,GAAG,CAAC,KAAGA;AAAE,MAAE,KAAK,CAAC;AAAA,WAAU,MAAM,QAAQ,CAAC,KAAG,GAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,SAAG,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAA,OAAM;AAAC,QAAI,IAAE;AAAG,aAAQ,KAAK,OAAO,KAAK,CAAC;AAAE,2BAAqB,KAAK,CAAC,MAAI,IAAE,KAAK,IAAI,GAAE,OAAO,CAAC,CAAC;AAAG,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,SAAG,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,eAAa,GAAE,KAAK,SAAOA,KAAEA,OAAG,SAAO,KAAK,SAAO,IAAI;AAAA,EAAG;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE;AAAC,QAAI,GAAE,IAAE,MAAI;AAAC,UAAE,EAAE;AAAA,IAAC,GAAE,GAAE,IAAE,GAAG;AAAE,QAAG,KAAK,aAAa,eAAe;AAAE,UAAE,KAAK,aAAa,KAAK,CAAC;AAAA,SAAM;AAAC,QAAE;AAAE,eAAQ,KAAK;AAAE,UAAE,SAAS;AAAE,UAAE,QAAQ,QAAQ,EAAC,UAAS,GAAG,IAAE,EAAC,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,EAAE,QAAQ,8BAA8B;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC;AAAE,UAAE,KAAK,EAAE,KAAK,OAAG;AAAC,aAAG,GAAE,EAAE,OAAM,CAAC;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,WAAM,EAAC,YAAW,GAAE,SAAQ,GAAE,QAAOA,KAAE,QAAO,EAAE,KAAK,OAAG,EAAE,QAAQ,GAAE,WAAU,EAAE,KAAK,OAAG,EAAE,uBAAqB,OAAK,EAAE,oBAAoB,IAAE,EAAE,EAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,QAAG,EAAC,YAAWA,KAAE,SAAQ,GAAE,QAAO,GAAE,QAAO,GAAE,WAAU,EAAC,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,cAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,GAAE,CAAC,CAAC,EAAE,KAAK,OAAG;AAAC,aAAK,OAAO,iBAAiBA,KAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAU,WAAM;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,MAAM,CAAC,KAAG,CAAC,SAAS,CAAC;AAAE,aAAO,QAAQ,KAAK,SAAS,uBAAuBA,MAAI,GAAE;AAAA,EAAE;AAAC,SAAM;AAAE;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,iBAAiB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,OAAO,KAAG,WAAS,GAAG,GAAG,OAAM,CAAC,IAAE,EAAE,OAAM,IAAE,GAAG,GAAE,EAAE,GAAE,IAAEA,IAAE,MAAK,IAAEA,IAAE,MAAK,IAAE,GAAGA,IAAE,MAAM,SAAS,GAAE,EAAE,GAAE,IAAE;AAAG,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,KAAG,MAAK;AAAC,YAAI,IAAE,EAAE,SAAOA,IAAE,OAAM,IAAE,EAAE;AAAO,aAAG,GAAG,MAAM,MAAM,IAAE,IAAE,IAAE;AAAA,MAAK;AAAA,IAAC;AAAC,YAAQ,IAAI,KAAK,OAAO,OAAO,MAAM,OAAO,OAAO,OAAO,KAAI,oBAAmB,aAAY,cAAa,iBAAgB,gBAAe,kBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,EAAE,CAAC,EAAE,EAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAG,EAAE,EAAE,EAAE,GAAE;AAAC,YAAE,QAAQ,QAAQ,OAAG,EAAE,EAAE,EAAE,IAAE,IAAE,GAAE,IAAE,MAAG,EAAE,EAAE,EAAE,IAAE;AAAG;AAAA,QAAK;AAAC,UAAG;AAAE;AAAA,IAAK;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,IAAEA,IAAE,EAAE,IAAE;AAAG,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAQ,QAAO;AAAI,UAAG,EAAE,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAE;AAAC,iBAAQ,KAAK;AAAE,YAAE,EAAE,CAAC,EAAE,EAAE,IAAE,MAAG,EAAE,EAAE,EAAE,IAAE;AAAG;AAAA,MAAK;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,EAAE,EAAE,EAAE,KAAG,EAAE,EAAE,EAAE,GAAE;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,KAAK,EAAE,QAAO;AAAC,YAAI,IAAE,EAAE,OAAO,CAAC;AAAE,UAAE,EAAE,EAAE,MAAI,EAAE,CAAC,IAAE;AAAA,MAAE;AAAC,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,CAAC;AAAE,QAAE,SAAO,GAAE,EAAE,UAAQ,EAAE,SAAQ,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,EAAE,QAAQ,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,EAAE,EAAE;AAAE,WAAG,OAAK,EAAE,KAAK,CAAC,IAAE,EAAE,KAAK,IAAI;AAAA,IAAC,CAAC,GAAE,EAAE,YAAU;AAAK,YAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa;AAAE,QAAI,IAAE,EAAE,SAAS,CAAC;AAAE,aAAQ,KAAK,EAAE,QAAO;AAAC,UAAG,EAAE,KAAK;AAAG,cAAM,IAAI,MAAM,iCAAiC,iCAAiC,OAAO,KAAK,CAAC,IAAI;AAAE,UAAI,IAAEA,IAAE,MAAI,EAAE,CAAC,EAAE,CAAC;AAAE,UAAG,EAAE,UAAQ;AAAU,cAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqC,yCAAyC,EAAE,QAAQ;AAAE,UAAI,IAAE,EAAE,OAAO,CAAC;AAAE,UAAG,CAAC,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,cAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsC,iBAAiB,EAAE,wDAAwD,EAAE,QAAQ;AAAE,UAAG,EAAE,EAAE,EAAE,KAAG;AAAK,UAAE,EAAE,EAAE,IAAE;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,EAAE,EAAE;AAAE,UAAE,EAAE,EAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,QAAQ;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAU,KAAG;AAAb,IAAe,KAAG;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,CAAC,QAAQ;AAAE,SAAO,MAAI,EAAE,KAAK,YAAYA,KAAG,GAAE,EAAE,KAAK,WAAW,GAAG,GAAE,EAAE,KAAK,aAAa,IAAI,GAAE,EAAE,KAAK,WAAW,IAAG,EAAE,KAAK,EAAE,IAAI,OAAG,SAAO,CAAC,EAAE,KAAK;AAAA,CAC901C,CAAC,GAAE,EAAE,KAAK;AAAA,CACV;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,QAAO,IAAEA,QAAI,cAAY,GAAG,CAAC,IAAE;AAAE,MAAG,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,CAAC,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,GAAG,EAAE,IAAE,CAAC,GAAE,GAAEA,GAAC,EAAE,MAAM;AAAA,IAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI;AAAE,SAAO,MAAM,QAAQ,CAAC,IAAE,IAAE,GAAG,WAAW,EAAE,CAAC,EAAE,QAAQ,EAAE,CAAC,OAAO,WAAW,EAAE,CAAC,EAAE,QAAQ,EAAE,CAAC,OAAK,GAAG,CAAC,IAAE,IAAE,IAAI,OAAKA,QAAI,SAAO,IAAE,GAAG,CAAC,IAAE,IAAE,WAAW,EAAE,QAAQ,EAAE,CAAC,EAAE,SAAS,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,IAAE,UAAQ;AAAM;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,MAAG;AAAC,MAAI,IAAEA,QAAI,cAAY,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,MAAG,MAAI,GAAE;AAAC,QAAGA,QAAI,aAAY;AAAC,UAAI,IAAE,GAAG,CAAC;AAAE,aAAM,CAAC,GAAG,EAAE,CAAC,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,WAAOA,QAAI,SAAO,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI,GAAE;AAAC,QAAG,IAAE,IAAG;AAAC,UAAI,IAAE,KAAG,GAAE,IAAE,MAAM,KAAK,EAAE,MAAM,GAAE,CAAC,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,OAAO,IAAE,MAAI,GAAE,IAAE,CAAC,CAAC;AAAE,aAAOA,QAAI,gBAAc,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,IAAG,CAAC,MAAI,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,YAAU,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,IAAE,KAAG,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,GAAG;AAAA,IAAC;AAAC,WAAM,CAAC,OAAKA,QAAI,cAAY,GAAG,CAAC,IAAE,MAAM,KAAK,CAAC,GAAG,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,GAAG;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,CAAC;AAAE,MAAG,IAAE,IAAG;AAAC,aAAQ,IAAE,GAAE,IAAE,IAAG,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,KAAE,CAAC;AAAA,IAAC;AAAC,MAAE,KAAK,KAAK;AAAE,aAAQ,IAAE,IAAE,IAAG,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAI,IAAE,CAAC,CAAC;AAAA,IAAC;AAAA,EAAC;AAAM,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAI,IAAE,CAAC,CAAC;AAAA,IAAC;AAAC,MAAI,IAAE,MAAI,IAAE,MAAI;AAAG,IAAE,CAAC,IAAE,OAAK,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE;AAAI,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAE,MAAI,IAAE;AAAA;AACz2C,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,SAAG;AAAA;AACvB,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,MAAI,EAAE,EAAE,SAAO,CAAC,IAAE,OAAK,IAAE,KAAG,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAG;AAAE,MAAE,KAAK,CAAC,EAAEA,GAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,QAAMA,KAAE,KAAK,QAAM,EAAE,MAAM,GAAE,KAAK,OAAK,GAAG,CAAC,GAAE,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE;AAAO,QAAE,MAAI,KAAK,MAAK,MAAI,qBAAqB,qDAAqD,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAGA,QAAI;AAAY,YAAM,IAAI,MAAM,4JAA4J;AAAE,SAAK,SAAO,KAAG,GAAGA,KAAE,KAAK,IAAI,GAAE,KAAK,UAAQ,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,MAAKA,KAAE;AAAC,IAAAA,IAAE,WAAS,MAAIA,MAAE,CAAC,CAAC,IAAG,EAAEA,IAAE,WAAS,KAAK,MAAK,MAAI,uCAAuCA,IAAE,gCAAgC,KAAK,OAAO;AAAE,QAAI,IAAE,KAAK,WAAWA,GAAC;AAAE,SAAK,OAAO,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,MAAE,WAAS,MAAI,IAAE,CAAC,CAAC;AAAG,QAAIA,MAAE;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAG,IAAE,KAAG,KAAG,KAAK,MAAMA,GAAC,GAAE;AAAC,YAAI,IAAE,qCAAqC,qBAAqB,KAAK;AAAQ,cAAM,IAAI,MAAM,CAAC;AAAA,MAAC;AAAC,MAAAA;AAAA,IAAG;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,WAAG,KAAK,QAAQ,CAAC,IAAE,EAAE,CAAC;AAAE,WAAO,KAAK,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAO;AAAE,QAAG,KAAK,SAAO;AAAE,aAAO,EAAE,CAAC;AAAE,QAAIA,MAAE,EAAE,EAAE,SAAO,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,MAAAA,OAAG,KAAK,QAAQ,CAAC,IAAE,EAAE,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM,CAAC;AAAE,QAAG,KAAK,SAAO;AAAE,aAAM,CAAC,CAAC;AAAE,QAAIA,MAAE,IAAI,MAAM,KAAK,MAAM,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,SAAO,GAAE,EAAE;AAAE,MAAAA,IAAE,CAAC,IAAE,KAAK,MAAM,IAAE,KAAK,QAAQ,CAAC,CAAC,GAAE,KAAGA,IAAE,CAAC,IAAE,KAAK,QAAQ,CAAC;AAAE,WAAOA,IAAEA,IAAE,SAAO,CAAC,IAAE,GAAEA;AAAA,EAAC;AAAA,EAAC,IAAI,OAAM;AAAC,WAAO,KAAK,MAAM;AAAA,EAAM;AAAA,EAAC,WAAU;AAAC,WAAO,GAAG,EAAE,WAAW,KAAK,QAAO,KAAK,OAAM,KAAK,KAAK;AAAA,EAAC;AAAC;AAAv3C,IAAy3C,KAAG;AAA53C,IAAi4C,KAAG;AAAp4C,IAAy4C,KAAG;AAAK,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,OAAK,OAAG,KAAK,qBAAmB,OAAG,KAAK,QAAM,EAAE,MAAM,GAAE,KAAK,QAAMA,OAAG,WAAU,KAAK,OAAK,GAAG,CAAC,GAAE,KAAK,UAAQ,GAAG,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,KAAG,GAAE,KAAK,WAAS,KAAK,OAAK,IAAE,KAAK,KAAK,SAAS,IAAE;AAAA,EAAQ;AAAA,EAAC,IAAI,OAAM;AAAC,WAAO,KAAK,MAAM;AAAA,EAAM;AAAA,EAAC,MAAM,SAAQ;AAAC,QAAI,IAAE,MAAM,KAAK,KAAK;AAAE,WAAO,GAAG,OAAO,KAAK,OAAM,KAAK,OAAM,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,OAAO,KAAK,OAAM,KAAK,OAAM,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,QAAO;AAAC,QAAI,IAAE,MAAM,KAAK,KAAK;AAAE,WAAO,GAAG,KAAK,OAAM,GAAE,KAAK,UAAQ,WAAW;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAO,GAAG,KAAK,OAAM,KAAK,SAAS,GAAE,KAAK,UAAQ,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,KAAK,MAAM;AAAE,QAAG,KAAK,UAAQ,UAAS;AAAC,UAAIA,MAAE,MAAM;AAAE,UAAG;AAAC,eAAOA,IAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,+FAA+F;AAAA,MAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,EAAE,UAAU,KAAK,QAAO,CAAC;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,GAAG,EAAE,SAAS,KAAK,MAAM;AAAE,QAAG,KAAK,UAAQ;AAAS,UAAG;AAAC,eAAO,EAAE,IAAI,CAAAA,QAAG,GAAGA,GAAC,CAAC;AAAA,MAAC,SAAOA,KAAN;AAAS,cAAM,IAAI,MAAM,+FAA+F;AAAA,MAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,MAAM,QAAO;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,MAAM,GAAG,EAAE,KAAK,KAAK,MAAM;AAAE,WAAO,KAAK,UAAQ,WAAS,IAAE,IAAI,WAAW,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,eAAa,GAAG,EAAE,cAAc,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAG;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,kBAAiB;AAAC,QAAG,KAAK;AAAW,YAAM,IAAI,MAAM,qBAAqB;AAAA,EAAC;AAAA,EAAC,MAAM,IAAE,OAAG;AAAC,WAAO,GAAG,MAAM,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,QAAO;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,MAAM,IAAI;AAAA,EAAC;AAAA,EAAC,SAAS,IAAE,OAAG;AAAC,QAAIA,MAAE,KAAK,SAAS;AAAE,WAAO,GAAGA,KAAE,KAAK,OAAM,KAAK,OAAM,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,IAAE,MAAGA,KAAE,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,EAAE,aAAa,MAAK,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,CAAC,CAAC,KAAG,EAAE,QAAM,QAAM,EAAE,YAAU,QAAM,EAAE,mBAAiB,KAAI,CAAC;AAAE,SAAS,KAAI;AAAC,SAAO,GAAG,UAAS,MAAI,EAAE;AAAC;AAAC,GAAG;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,UAAM,EAAE,OAAM,EAAE,OAAM,EAAE,QAAO,CAAC,GAAE,KAAK,YAAUA,KAAE,KAAK,OAAK;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,2BAA2B,EAAE,8BAA8B,KAAK,mBAAmB;AAAE,QAAG,CAAC,GAAG,EAAE,OAAM,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,2BAA2B,EAAE,8BAA8B,KAAK,mBAAmB;AAAE,OAAG,EAAE,cAAc,IAAI,GAAE,KAAK,SAAO,EAAE,QAAO,GAAG,EAAE,OAAO,MAAK,IAAI;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,OAAG,EAAE,gBAAgB,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAE;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,aAAa,MAAI,EAAE,UAAQ,QAAM,EAAE,kBAAkB,SAAQ,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,kBAAiB,MAAI,IAAG,uBAAsB,MAAI,IAAG,gBAAe,MAAI,IAAG,gBAAe,MAAI,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG;AAAI,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,SAAQ,EAAE,OAAK,SAAQ,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,SAAQ,EAAE,OAAK,QAAO,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,WAAU,EAAE,OAAK,WAAU,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,aAAY,EAAE,QAAM,aAAY,EAAE,OAAK,aAAY,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,EAAC,SAAQ,IAAG,OAAM,IAAG,MAAK,IAAG,WAAU,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,YAAU,MAAI,UAAS;AAAC,QAAG,MAAI,YAAU,MAAI;AAAS,aAAM;AAAS,UAAM,IAAI,MAAM,kBAAkB,UAAU,GAAG;AAAA,EAAC;AAAC,SAAO,GAAG,CAAC,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,UAAQ,EAAE;AAAM,WAAM,CAAC,GAAE,CAAC;AAAE,MAAIA,MAAE,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,KAAKA,GAAC,GAAE,EAAE,KAAKA,GAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,EAAE,OAAM,MAAI,2BAA2B,EAAE,qBAAqB,EAAE,yBAAyB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,KAAK,CAAAA,QAAGA,IAAE,OAAK,EAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,oBAAI,KAAG,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,KAAG;AAAK;AAAO,MAAG,aAAa,IAAG;AAAC,MAAE,KAAK,CAAC;AAAE;AAAA,EAAM;AAAC,MAAG,CAAC,GAAG,CAAC;AAAE;AAAO,MAAI,IAAE;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,IAAAA,IAAE,IAAI,CAAC,MAAIA,IAAE,IAAI,CAAC,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG;AAAQ;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,cAAY;AAAI;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,sBAAoB,CAAC,GAAE,KAAK,iBAAe,GAAE,KAAK,WAAS,GAAE,KAAK,aAAW,GAAE,KAAK,mBAAiB,GAAE,KAAK,iBAAe,GAAE,KAAK,gBAAc,GAAE,KAAK,cAAY,GAAE,KAAK,aAAW,CAAC,GAAE,KAAK,oBAAkB,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,aAAW,oBAAI,WAAQ,KAAK,YAAU,OAAG,KAAK,gBAAc,EAAC,UAAS,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,CAAC,GAAE,QAAO,MAAK,IAAI,cAAa;AAAC,aAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAI,OAAG,EAAE,IAAI,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,aAAQ,KAAK,KAAK;AAAoB,WAAK,oBAAoB,CAAC,EAAE,QAAQ;AAAA,EAAC;AAAC;AAApiB,IAAsiB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,MAAI,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,kBAAgB,CAAC,GAAE,KAAK,uBAAqB,GAAE,KAAK,QAAM,IAAI;AAAA,EAAE;AAAA,EAAC,MAAM,QAAO;AAAC,QAAG,KAAK,sBAAoB;AAAK,aAAO,KAAK,mBAAmB,KAAK,MAAI;AAAA,MAAC,CAAC;AAAE,QAAG,KAAK,mBAAiB;AAAK;AAAO,QAAI,IAAE,KAAK,kBAAkB;AAAE,aAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,UAAI,IAAE,EAAEA,GAAC;AAAE,UAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,SAAQ;AAAC,cAAM,KAAK,WAAW,CAAC;AAAE;AAAA,MAAM;AAAA,IAAC;AAAC,UAAM,IAAI,MAAM,wEAAwE;AAAA,EAAC;AAAA,EAAC,IAAI,UAAS;AAAC,QAAG,KAAK,sBAAoB;AAAK,YAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI;AAAE,QAAG,KAAK,mBAAiB,MAAK;AAAC,UAAG,EAAC,MAAK,GAAE,WAAUA,IAAC,IAAE,KAAK,gCAAgC;AAAE,UAAGA;AAAE,cAAM,IAAI,MAAM,iCAAiC,sHAAsH;AAAE,WAAK,WAAW,CAAC;AAAA,IAAC;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,eAAc;AAAC,WAAO,OAAO,KAAK,KAAK,eAAe;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,EAAE,KAAK,KAAK;AAAU,UAAG,KAAK,KAAK,iBAAgB;AAAC,YAAG,EAAC,WAAUA,IAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,YAAGA;AAAE,iBAAO;AAAA,MAAI;AAAM,eAAO;AAAK,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,WAAO,KAAK,KAAK,kBAAgB,KAAK,gBAAgB,CAAC,EAAE,UAAQ;AAAA,EAAI;AAAA,EAAC,gBAAgB,GAAEA,KAAE,IAAE,GAAE;AAAC,WAAO,KAAK,KAAK,mBAAiB,GAAG,GAAG,qEAAqE,GAAE,UAAK,KAAK,gBAAgB,CAAC,IAAE,EAAC,SAAQA,KAAE,UAAS,EAAC,GAAE;AAAA,EAAG;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAG,KAAK,gBAAgB,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,iBAAiB,0BAA0B;AAAE,QAAG,KAAK,cAAY,GAAE,KAAK,SAAS,CAAC,KAAG,MAAK;AAAC,WAAK,kBAAgB;AAAK,UAAG,EAAC,SAAQA,KAAE,WAAU,EAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,UAAG,EAAE,IAAE,MAAMA,MAAEA;AAAG,eAAM;AAAA,IAAE;AAAC,WAAO,KAAK,kBAAgB,KAAK,SAAS,CAAC,GAAE,KAAK,uBAAuB,GAAE,KAAK,WAAS,IAAI,GAAG,KAAK,eAAe,GAAE;AAAA,EAAE;AAAA,EAAC,yBAAwB;AAAC,OAAG,KAAK,WAAW,EAAE,QAAQ,CAAAA,QAAG;AAAC,MAAAA,IAAE,aAAW,QAAMA,IAAE,UAAU,KAAK,eAAe;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,OAAG,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAE,eAAa,QAAM,EAAE,YAAY,KAAK,SAAS,CAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAE;AAAC,QAAIA,MAAE,KAAK,gBAAgB,CAAC;AAAE,QAAGA,OAAG;AAAK,YAAM,IAAI,MAAM,6BAA6B,2BAA2B;AAAE,QAAG;AAAC,UAAI,IAAEA,IAAE,QAAQ;AAAE,UAAG,KAAG,EAAE,aAAa,OAAK,OAAO,EAAE,QAAM,YAAW;AAAC,YAAI,IAAE,EAAE,KAAK,sBAAqB,IAAE,EAAE,KAAK,OAAG,IAAE,KAAK,uBAAqB,SAAI,KAAK,SAAS,CAAC,IAAE,GAAE,KAAK,qBAAmB,MAAK,KAAG,EAAE,MAAM,QAAI,IAAE,KAAK,yBAAuB,KAAK,qBAAmB,MAAK,GAAG,6BAA6B,UAAU,GAAE,GAAG,EAAE,SAAO,EAAE,OAAO,IAAG,MAAG;AAAE,eAAO,KAAK,qBAAmB,GAAE,EAAC,SAAQ,GAAE,WAAU,KAAE;AAAA,MAAC;AAAM,eAAO,KAAK,SAAS,CAAC,IAAE,GAAE,EAAC,SAAQ,MAAG,WAAU,MAAE;AAAA,IAAC,SAAO,GAAN;AAAS,aAAO,GAAG,6BAA6B,UAAU,GAAE,GAAG,EAAE,SAAO,EAAE,OAAO,GAAE,EAAC,SAAQ,OAAG,WAAU,MAAE;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,QAAG,EAAE,KAAK,KAAK;AAAiB,YAAM,IAAI,MAAM,GAAG,iCAAiC;AAAE,SAAK,gBAAc,KAAG,KAAK,sBAAoB,QAAM,KAAK,wBAAuB,KAAK,KAAK,aAAW,KAAK,yBAAyB,CAAC,GAAE,KAAK,SAAS,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,SAAS,CAAC,IAAG,OAAO,KAAK,gBAAgB,CAAC,GAAE,KAAK,gBAAc,MAAI,KAAK,qBAAmB,MAAK,KAAK,cAAY,MAAK,KAAK,kBAAgB;AAAA,EAAK;AAAA,EAAC,oBAAmB;AAAC,QAAG,OAAO,KAAK,KAAK,eAAe,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,WAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAAC,GAAEA,QAAI,KAAK,gBAAgBA,GAAC,EAAE,WAAS,KAAK,gBAAgB,CAAC,EAAE,QAAQ;AAAA,EAAC;AAAA,EAAC,kCAAiC;AAAC,QAAI,IAAE,KAAK,kBAAkB;AAAE,aAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,UAAI,IAAE,EAAEA,GAAC,GAAE,EAAC,SAAQ,GAAE,WAAU,EAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,UAAG,KAAG;AAAE,eAAM,EAAC,MAAK,GAAE,WAAU,EAAC;AAAA,IAAC;AAAC,UAAM,IAAI,MAAM,wEAAwE;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,MAAM,WAAW,IAAIA,GAAC,GAAE,IAAE,EAAE,SAAQ,IAAE,KAAK,SAASA,GAAC,GAAE,IAAE,EAAE,SAASA,GAAC;AAAE,MAAE,YAAYA,KAAE,IAAE,GAAE,EAAE,UAAQ,GAAE,EAAE,KAAKA,KAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,KAAK,uBAAuB,KAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,SAAO,CAAC;AAAA,EAAG;AAAA,EAAC,KAAK,GAAEA,KAAE;AAAC,QAAI,IAAE;AAAK,QAAGA,OAAG,MAAK;AAAC,UAAG,OAAO,KAAG;AAAW,cAAM,IAAI,MAAM,qCAAqC;AAAE,MAAAA,MAAE;AAAA,IAAC,OAAK;AAAC,UAAG,OAAO,KAAG,YAAU,EAAE,aAAa;AAAQ,cAAM,IAAI,MAAM,gFAAgF;AAAE,UAAG,OAAOA,OAAG;AAAW,cAAM,IAAI,MAAM,gFAAgF;AAAE,UAAE;AAAA,IAAC;AAAC,QAAI;AAAE,WAAO,KAAK,UAAU,MAAI,KAAK,WAAW,CAAC,GAAE,MAAI,KAAK,SAAS,CAAC,GAAE,OAAK,IAAEA,IAAE,GAAE,aAAa,WAAS,QAAQ,MAAM,yCAAyC,GAAE,EAAE;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE;AAAC,MAAE;AAAE,QAAG;AAAC,UAAI,IAAE,EAAE;AAAE,aAAOA,IAAE,GAAE;AAAA,IAAC,SAAO,GAAN;AAAS,YAAMA,IAAE,GAAE;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,eAAc;AAAC,WAAO,GAAG;AAAA,EAAc;AAAA,EAAC,iBAAgB;AAAC,WAAO,GAAG;AAAA,EAAgB;AAAA,EAAC,MAAM,GAAE;AAAC,QAAIA,MAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,CAAC,GAAE,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,QAAI,EAAC,GAAE,MAAI;AAAC,UAAI,IAAE,WAAU,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,aAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAA,IAAC,EAAC,IAAG,IAAE,CAAC;AAAE,WAAO,KAAK,YAAY,KAAK,MAAM,YAAY,MAAK,GAAE,CAACA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,eAAa,QAAM,KAAK,SAAQ,EAAE,GAAG,GAAE,KAAK,WAAW,KAAG;AAAM,YAAM,IAAI,MAAM,WAAW,kCAAkC,KAAK,cAAc;AAAE,WAAO,KAAK,cAAc,EAAC,YAAW,GAAE,QAAOA,KAAE,OAAM,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,IAAI,QAAQ,SAAS;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,WAAW,GAAE,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,WAAG,EAAE,UAAQ,cAAY,IAAE;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,SAAO,CAAC,GAAE,IAAE,IAAEA,MAAE,IAAE;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,YAAY,KAAK,6CAA6C,8BAA8B,IAAI;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,QAAIA,KAAE,IAAE,CAAC,GAAE,IAAE,KAAK,SAAS,GAAE,IAAE,KAAK,MAAM,UAAS,IAAE,KAAK,MAAM;AAAW,SAAK,uBAAuB,KAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC;AAAE,QAAI;AAAE,SAAK,eAAa,QAAM,KAAK;AAAQ,QAAI,GAAE,IAAE,GAAG,CAAC,IAAE,EAAE,aAAW,KAAK,MAAM,eAAa,OAAK,KAAK,MAAM,YAAY,OAAK;AAAG,QAAG,GAAG,CAAC,GAAE;AAAC,UAAG,EAAC,YAAW,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE;AAAE,WAAK,eAAa,QAAM,KAAK;AAAQ,UAAI,IAAE,GAAG,GAAE,KAAK,WAAW;AAAE,QAAE,KAAG,MAAK,MAAI,kCAAkC,mBAAmB,KAAK,cAAc,GAAE,IAAE,MAAI;AAAC,YAAI,IAAE,KAAK,QAAQ,WAAW;AAAE,YAAE,EAAE,WAAW,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQ,KAAK,QAAO,CAAC;AAAE,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,aAAK,uBAAuB,KAAG,KAAK,sBAAsB,GAAE,GAAE,CAAC;AAAE,YAAI,IAAE,EAAE,IAAI,OAAG,EAAE,QAAM,OAAK,IAAE,KAAK,yBAAyB,CAAC,CAAC;AAAE,YAAG,GAAE;AAAC,cAAI,IAAE,KAAK,sBAAsB,GAAE,GAAE,CAAC;AAAE,cAAE,KAAK,2BAA2B,CAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAC;AAAA,IAAC,OAAK;AAAC,UAAG,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,OAAG;AAAC,cAAI,IAAE,EAAE,IAAI,OAAG,KAAK,KAAK,KAAK,MAAM,CAAC,CAAC,CAAC;AAAA,MAAE;AAAE,UAAE,MAAI;AAAC,YAAI,IAAE,KAAK,QAAQ,WAAW;AAAE,YAAE,KAAK,KAAK,MAAI,EAAE,KAAK,SAAQ,CAAC,CAAC;AAAE,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,eAAO,KAAK,uBAAuB,KAAG,KAAK,sBAAsB,GAAE,GAAE,CAAC,GAAE;AAAA,MAAC;AAAA,IAAC;AAAC,QAAG,EAAC,QAAO,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAG,CAAC,IAAE,OAAK,EAAE,eAAc;AAAE,WAAO,KAAK,UAAU,MAAI,KAAK,MAAM,eAAc,MAAI,KAAK,MAAM,eAAc,MAAI;AAAC,OAAC,KAAK,IAAI,QAAQ,OAAO,KAAG,CAAC,KAAK,MAAM,YAAUA,MAAE,EAAE,KAAG,IAAE,KAAK,SAAS,cAAc,GAAE,GAAE,MAAI,EAAE,CAAC,GAAE,KAAK,IAAI,QAAQ,OAAO,KAAG,KAAK,SAAS,iBAAiB,CAAC,GAAEA,MAAE,EAAE;AAAA,IAAQ,CAAC,GAAE,KAAG,KAAK,YAAY,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC,GAAE,KAAK,MAAM,aAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,EAAC,MAAK,GAAE,YAAW,KAAK,MAAM,WAAS,GAAE,oBAAmB,KAAK,MAAM,UAAS,cAAa,KAAK,MAAM,aAAW,GAAE,sBAAqB,KAAK,MAAM,YAAW,aAAY,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,KAAG,OAAK,EAAE,CAAC,EAAE,QAAM,IAAI,GAAE,cAAaA,IAAE,IAAI,OAAG,EAAE,KAAK,GAAE,cAAa,EAAE,QAAO,WAAU,EAAE,UAAS,CAAC,GAAE,MAAM,QAAQ,CAAC,IAAEA,MAAEA,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAE;AAAC,WAAO,EAAE,IAAI,OAAG,KAAK,KAAK,KAAK,MAAM,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,gBAAc,CAAC,GAAE,IAAE,EAAE,iBAAe,CAAC,GAAE;AAAE,QAAE,iBAAe,EAAE,MAAM,QAAQA,GAAC,GAAE,MAAI,wDAAwD,GAAE,IAAE,OAAO,KAAKA,GAAC,EAAE,IAAI,OAAGA,IAAE,CAAC,CAAC,KAAG,IAAE,EAAE,IAAI,OAAGA,IAAE,CAAC,CAAC;AAAE,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,EAAE,CAAC,CAAC;AAAE,aAAO,EAAE,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,+CAA+C;AAAE,QAAE,KAAG,WAAU,IAAE,KAAG,KAAK;AAAQ,QAAI,IAAE;AAAE,UAAI,YAAU,GAAG,EAAE,CAAC,CAAC,MAAI,IAAE,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAG,QAAI,IAAE,EAAE,MAAM,GAAEA,KAAE,CAAC,GAAE,IAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,KAAK,aAAa,CAAC;AAAE,QAAG,KAAK,YAAY,GAAE,CAAC,GAAE,MAAI,UAAS;AAAC,UAAI,IAAE,KAAK,MAAM,WAAW,IAAI,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,WAAK,MAAM,YAAU,IAAE,EAAE,OAAM,EAAE,QAAM;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAE,KAAG;AAAU,QAAI,IAAE,EAAC,QAAO,GAAE,OAAMA,KAAE,OAAM,EAAC;AAAE,WAAO,KAAK,yBAAyB,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAEA,KAAE;AAAC,QAAG,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,KAAK,aAAa,CAAC;AAAE,WAAO,KAAK,YAAY,GAAEA,GAAC,GAAE;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,MAAE,MAAG,GAAE,GAAE;AAAC,QAAE,KAAG,KAAK,eAAe,EAAE,SAAS,GAAE,KAAG,QAAM,MAAI,EAAE,UAAQ,IAAE,EAAE,KAAK,CAAC;AAAG,QAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,KAAK,aAAa,CAAC;AAAE,QAAG,KAAK,MAAM,oBAAoB,EAAE,IAAI,KAAG;AAAK,YAAM,IAAI,MAAM,sBAAsB,EAAE,6BAA6B;AAAE,WAAO,KAAK,MAAM,oBAAoB,EAAE,IAAI,IAAE,GAAE,KAAK,OAAO,GAAE,KAAK,OAAO,GAAE;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,MAAM,cAAa,EAAE,UAAQ,YAAU,KAAK,MAAM;AAAmB,QAAI,IAAE;AAAE,MAAE,UAAQ,eAAa,EAAE,UAAQ,aAAW,IAAE,EAAE,OAAK,GAAG,EAAE,KAAK,IAAG,KAAK,MAAM,YAAU,GAAE,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM,MAAI,KAAK,MAAM,kBAAiB,KAAK,MAAM,WAAW,IAAI,EAAE,QAAO,EAAC,SAAQA,OAAG,KAAK,SAAQ,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,CAAC,IAAG,aAAa,MAAI,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,SAAK,YAAY,GAAEA,GAAC,GAAE,KAAK,QAAQ,OAAO,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,SAAK,MAAM,WAAW,IAAI,CAAC,KAAG,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,YAAUA,QAAI,KAAK,MAAM,WAAW,OAAO,CAAC,GAAE,KAAK,MAAM;AAAA,EAAiB;AAAA,EAAC,cAAc,GAAE;AAAC,QAAG,CAAC,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM;AAAE;AAAO,QAAIA,MAAE,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM;AAAE,QAAG,KAAK,MAAM,cAAa,EAAE,UAAQ,aAAW,KAAK,MAAM,oBAAmB,KAAK,MAAM,YAAUA,IAAE,QAAO,EAAE,UAAQ,eAAa,EAAE,UAAQ,UAAS;AAAC,UAAI,IAAE,EAAE,OAAK,GAAG,EAAE,KAAK;AAAE,WAAK,MAAM,YAAU;AAAA,IAAC;AAAC,IAAAA,IAAE,QAAQ,YAAY,EAAE,MAAM,KAAG,KAAK,aAAa,EAAE,QAAOA,IAAE,OAAO;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,aAAQ,KAAK,KAAK,MAAM,qBAAoB;AAAC,UAAIA,MAAE,KAAK,MAAM,oBAAoB,CAAC;AAAE,WAAK,gBAAgBA,GAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,SAAK,cAAc,CAAC,GAAE,KAAK,MAAM,oBAAoB,EAAE,IAAI,KAAG,QAAM,OAAO,KAAK,MAAM,oBAAoB,EAAE,IAAI;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,QAAI,IAAE,KAAK,QAAQ,OAAO;AAAE,WAAO,EAAE,aAAW,KAAK,MAAM,YAAW,EAAE,iBAAe,KAAK,MAAM,gBAAe,EAAE,WAAS,KAAK,MAAM,UAAS,KAAK,MAAM,mBAAiB,MAAI,EAAE,aAAW,MAAG,EAAE,WAAS,SAAO,EAAE,UAAQ,CAAC,IAAG,EAAE,QAAQ,KAAK,uEAAuE,IAAG;AAAA,EAAC;AAAA,EAAC,MAAM,QAAQ,GAAE;AAAC,SAAK,MAAM,YAAU;AAAG,QAAIA,MAAE,KAAK,MAAM,UAAS,IAAE,KAAK,MAAM;AAAW,SAAK,MAAM,cAAc,UAAQ,CAAC,GAAE,KAAK,MAAM,cAAc,SAAO,MAAM,EAAE,GAAE,KAAK,MAAM,YAAU,OAAG,KAAK,MAAM,cAAc,YAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAI,OAAG,EAAE,kBAAkB,CAAC,GAAE,KAAK,MAAM,cAAc,WAAS,KAAK,MAAM,WAASA,KAAE,KAAK,MAAM,cAAc,aAAW,KAAK,MAAM,aAAW;AAAE,aAAQ,KAAK,KAAK,MAAM,cAAc;AAAQ,QAAE,eAAa,MAAM,EAAE,cAAa,EAAE,YAAU,MAAM,EAAE;AAAU,WAAO,KAAK,MAAM;AAAA,EAAa;AAAA,EAAC,WAAU;AAAC,WAAO,KAAK,MAAM,gBAAc,KAAG,KAAK,MAAM,gBAAc;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAC,IAAG,KAAK,MAAM,kBAAiB,YAAW,GAAE,QAAOA,KAAE,SAAQ,GAAE,OAAM,EAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAG,SAAO,IAAE,EAAE,WAAU,KAAG,SAAO,EAAE,WAAS,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAG,KAAG,MAAK;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,EAAE,MAAK,EAAE,KAAK;AAAE,eAAO,KAAK,WAAW,GAAE,EAAE,OAAM,EAAE,KAAK;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC,CAAC,GAAE,EAAE,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC,GAAE,GAAE,CAAC,KAAI,KAAK,MAAM,WAAW,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,EAAE,OAAK,MAAG;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,SAAK,MAAM,kBAAgB,MAAI,KAAK,MAAM,aAAW,CAAC,IAAG,KAAK,MAAM;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,SAAK,MAAM;AAAA,EAAe;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,EAAC,OAAM,CAAC,GAAE,MAAK,iBAAgB,IAAG,KAAK,MAAM,cAAa;AAAE,UAAIA,IAAE,OAAK,IAAG,KAAK,MAAM,WAAW,KAAKA,GAAC,GAAE,KAAK,MAAM,cAAYA;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,IAAI,IAAIA,IAAE,IAAI,OAAG,EAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,MAAM,YAAY,MAAM,QAAO,KAAI;AAAC,UAAI,IAAE,KAAK,MAAM,YAAY,MAAM,CAAC;AAAE,OAAC,EAAE,QAAM,CAAC,EAAE,IAAI,EAAE,EAAE,KAAG,EAAE,QAAQ;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,MAAM,WAAW,IAAI;AAAE,SAAK,MAAM,cAAY,KAAK,MAAM,WAAW,WAAS,IAAE,OAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,SAAO,CAAC,GAAEA,IAAE,QAAQ,OAAG;AAAC,OAAC,EAAE,QAAM,EAAE,YAAU,EAAE,MAAI,KAAK,MAAM,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,QAAG,EAAEA,IAAE,SAAO,GAAE,MAAI,2CAA2C,GAAE,KAAG,QAAM,EAAE,UAAQ;AAAU,YAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ;AAAE,QAAI,IAAE,KAAK,UAAU,MAAI,KAAK,UAAU,GAAE,MAAI,KAAK,QAAQ,GAAE,MAAI,KAAK,KAAK,WAAU,CAAC,CAAC;AAAE,MAAE,aAAa,IAAG,MAAI,gDAAgD;AAAE,QAAI,IAAE,GAAG,KAAK,MAAM,YAAWA,KAAE,CAAC;AAAE,QAAG,CAAC,KAAG,EAAE,WAAS,KAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,qIAAqI;AAAE,WAAO,KAAK,KAAK,YAAW,MAAI;AAAC,UAAI,IAAE,CAAC;AAAE,QAAE,EAAE,EAAE,IAAE,KAAG,OAAK,GAAG,EAAE,KAAK,IAAE,GAAE,GAAG,GAAE,GAAE,OAAG,KAAK,KAAK,CAAC,GAAE,EAAE;AAAE,UAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,EAAE,EAAE,CAAC;AAAE,aAAO,KAAK,MAAM,kBAAgB,MAAI,KAAK,MAAM,WAAW,QAAQ,OAAG;AAAC,iBAAQ,KAAK,EAAE;AAAM,YAAE,QAAQ;AAAA,MAAC,CAAC,GAAE,KAAK,MAAM,aAAW,OAAM,EAAC,OAAM,GAAE,OAAM,EAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,EAAE,GAAG,CAAC,GAAE,MAAI,mDAAmD,GAAE,IAAIA,QAAI;AAAC,QAAEA,IAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,kEAAkE;AAAE,UAAI,GAAE,IAAE,CAAC;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAE,CAAC,IAAE;AAAA,MAAC,CAAC;AAAE,UAAI,IAAE,CAAC,GAAE,OAAK,IAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,EAAE,EAAE,iBAAiB,IAAG,MAAI,4FAA4F,GAAE,EAAE,GAAG,EAAE,QAAQ,GAAE,MAAI,kGAAkG,GAAE,EAAE,QAAO,IAAE,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,SAAS,GAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,EAAE,WAASA,IAAE,QAAO,MAAI,qKAAqK,GAAE,EAAE,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,sIAAsI;AAAE,YAAI,IAAE,CAAC;AAAE,eAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAE,CAAC,IAAE,MAAI;AAAA,QAAC,CAAC,GAAE;AAAA,MAAC;AAAE,aAAO,KAAK,cAAc,EAAC,aAAY,GAAE,eAAc,GAAE,QAAO,EAAC,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,UAAU,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,GAAG,GAAE,IAAE,MAAM,KAAK,QAAQ,KAAK,CAAC;AAAE,WAAO,EAAE,SAAO,GAAG,IAAEA,KAAE;AAAA,EAAC;AAAA,EAAC,MAAM,GAAE;AAAC,WAAO,KAAK,MAAM,eAAa,SAAO,EAAE,UAAQ,KAAK,MAAM,YAAY,IAAG,KAAK,MAAM,YAAY,MAAM,KAAK,CAAC,IAAG;AAAA,EAAC;AAAA,EAAC,IAAI,sBAAqB;AAAC,WAAO,KAAK,MAAM;AAAA,EAAmB;AAAA,EAAC,QAAO;AAAC,SAAK,wBAAuB,KAAK,MAAM,QAAQ,GAAE,KAAK,IAAI,MAAM,GAAE,KAAK,QAAM,IAAI;AAAG,aAAQ,KAAK,KAAK;AAAS,WAAK,yBAAyB,CAAC,GAAE,KAAK,SAAS,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,SAAS,CAAC;AAAE,SAAK,cAAY,MAAK,KAAK,kBAAgB,MAAK,KAAK,qBAAmB;AAAA,EAAI;AAAC;AAAE,GAAG,eAAa;AAAE,GAAG,iBAAe;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,GAAG,CAAC,GAAE,SAAS;AAAE,SAAO,EAAE,WAAW,GAAE,GAAE,SAAS;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG;AAAE,MAAG,EAAE,aAAW,MAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC;AAAE,MAAE,YAAU,IAAI,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,EAAE,UAAU,GAAG,GAAE,GAAG,MAAI,EAAE,SAAS,GAAE,EAAE;AAAS;AAAC,IAAI,IAAE,GAAG;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,GAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,WAAU,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,GAAE,CAAC;AAAE,SAAS,KAAI;AAAC,SAAO,OAAO,aAAW,eAAa,aAAW;AAAI;AAAC,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,OAAK;AAAO,WAAO;AAAG,MAAG,KAAG,GAAG,GAAE;AAAC,QAAG,MAAI,IAAE,YAAW,EAAE,YAAU;AAAc,aAAM;AAAG,QAAI,IAAE,EAAE,aAAW,EAAE,WAAS,OAAO,UAAQ,cAAY,OAAO,QAAM;AAAI,QAAG,CAAC,GAAE;AAAC,UAAIA,MAAE;AAAE,aAAOA,IAAE,iBAAeA,IAAE,cAAc;AAAA,IAAM;AAAC,WAAM,2TAA2T,KAAK,CAAC,KAAG,0kDAA0kD,KAAK,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAM;AAAE;AAAC,SAAS,KAAI;AAAC,SAAO,OAAO,UAAQ,eAAa,OAAO,YAAU,QAAM,OAAO,qBAAmB;AAAW;AAAC,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,SAAQ,MAAI,OAAG,OAAG;AAAC,OAAG,QAAQ,KAAK,6IAA6I;AAAC,CAAC;AAAE,GAAG,aAAa,cAAa,MAAI,GAAG,CAAC;AAAE,GAAG,aAAa,WAAU,MAAI,OAAO,WAAS,eAAa,OAAO,QAAQ,YAAU,eAAa,OAAO,QAAQ,SAAS,QAAM,WAAW;AAAE,GAAG,aAAa,aAAY,MAAI,OAAO,aAAW,eAAa,aAAW,QAAM,UAAU,aAAW,QAAM,SAAS,KAAK,UAAU,SAAS,KAAG,aAAa,KAAK,UAAU,MAAM,CAAC;AAAE,GAAG,aAAa,QAAO,MAAI,KAAE;AAAE,GAAG,aAAa,sCAAqC,MAAI,GAAG,QAAQ,OAAO,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,IAAE;AAAE,GAAG,aAAa,WAAU,MAAI,KAAE;AAAE,GAAG,aAAa,gCAA+B,MAAI,IAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,GAAG,aAAa,yCAAwC,MAAI,KAAE;AAAE,GAAG,aAAa,wBAAuB,MAAI,KAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAG,GAAG,CAAC;AAAE,WAAO,MAAI,WAAS,CAAC,IAAE,CAAC,EAAE,MAAM;AAAE,MAAG,OAAO,KAAG,UAAS;AAAC,QAAG,aAAY,GAAE;AAAC,UAAI,IAAE,EAAE,YAAU;AAAO,aAAM,CAAC,EAAE,QAAO,EAAE,QAAM,EAAE,MAAM;AAAA,IAAC,WAAS,YAAW,KAAG,EAAE,EAAE,kBAAkB;AAAa,aAAM,CAAC,EAAE,OAAO,QAAM,KAAG,OAAK,IAAE,GAAG,CAAC,EAAE;AAAA,EAAC;AAAC,MAAG,CAAC,MAAM,QAAQ,CAAC;AAAE,WAAM,CAAC;AAAE,MAAI,IAAE,CAAC;AAAE,SAAK,MAAM,QAAQA,GAAC,KAAG,GAAGA,GAAC,KAAG,MAAI;AAAU,MAAE,KAAKA,IAAE,MAAM,GAAEA,MAAEA,IAAE,CAAC;AAAE,SAAO,MAAM,QAAQ,CAAC,KAAG,EAAE,EAAE,QAAQ,oCAAoC,KAAG,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,MAAEA,OAAG,CAAC,GAAE,CAAC,MAAM,QAAQ,CAAC,KAAG,CAAC,GAAG,CAAC,GAAE;AAAC,MAAE,EAAE,WAAS,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,2DAA2D,EAAE,CAAC,YAAY;AAAE;AAAA,EAAM;AAAC,IAAE,EAAE,SAAO,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,gDAAgD,EAAE,iBAAiB,GAAE,EAAE,EAAE,WAAS,EAAE,CAAC,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,kBAAkB,EAAE,CAAC,uBAAuB,EAAE,iBAAiB;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,OAAG,EAAE,CAAC,GAAE,GAAEA,IAAE,OAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI,qBAAoB;AAAC,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,gCAAgC;AAAE,QAAG,MAAI,aAAW,MAAI,KAAG,MAAI,aAAW,MAAI;AAAS,YAAM,IAAI,MAAM,aAAaA,mBAAiB,cAAc,qBAAqB,UAAU;AAAA,EAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,MAAG,aAAa;AAAG,WAAO,GAAG,GAAE,EAAE,OAAM,GAAEA,GAAC,GAAE;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,YAAU,CAAC,QAAO,SAAQ,SAAS,EAAE,QAAQ,CAAC,KAAG,MAAI,IAAE,IAAG,GAAG,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAG,QAAM,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG,aAAW,OAAO,KAAG,UAAS;AAAC,QAAI,IAAE,KAAG,OAAK,SAAO,EAAE,YAAY;AAAK,UAAM,IAAI,MAAM,aAAa,iBAAiBA,iDAA+C,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,GAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC;AAAG,MAAI,IAAE,MAAI,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE;AAAE,SAAO,EAAE,WAAW,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,MAAG,CAAC,MAAM,QAAQ,CAAC;AAAE,UAAM,IAAI,MAAM,YAAY,eAAeA,gDAA8C;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,GAAG,KAAK,MAAKA,KAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAO,SAAS,EAAE,GAAE;AAAC,MAAI,IAAE,OAAO,KAAK,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc;AAAE,MAAIA,MAAE,EAAE,CAAC,GAAE,IAAE,EAAEA,GAAC;AAAE,EAAAA,IAAE,SAAS,GAAG,MAAIA,MAAEA,IAAE,UAAU,GAAEA,IAAE,SAAO,CAAC,IAAGA,MAAEA,MAAE;AAAG,MAAI,IAAE,IAAI,MAAI;AAAC,MAAE,WAAWA,GAAC;AAAE,QAAG;AAAC,UAAI,IAAE,EAAE,GAAG,CAAC;AAAE,aAAO,GAAG,CAAC,KAAG,QAAQ,MAAM,yCAAyC,GAAE,EAAE,SAAS,CAAC,GAAE;AAAA,IAAC,SAAO,GAAN;AAAS,YAAM,EAAE,SAAS,IAAI,GAAE;AAAA,IAAC;AAAA,EAAC;AAAE,SAAO,OAAO,eAAe,GAAE,QAAO,EAAC,OAAMA,KAAE,cAAa,KAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,QAAO,SAAS,GAAE,IAAE,EAAE,GAAE,QAAO,SAAS;AAAE,KAAGA,IAAE,OAAM,EAAE,OAAM,yBAAyBA,IAAE,aAAa,EAAE,4CAA4C;AAAE,MAAI,IAAE,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,KAAG;AAAK,QAAE,GAAG,CAAC;AAAA,WAAU,MAAI;AAAY,UAAM,IAAI,MAAM,kFAAkF;AAAE,MAAG,OAAO,KAAG,aAAW,aAAY,KAAG,YAAW,KAAG,EAAE,EAAE,kBAAkB,eAAc;AAAC,QAAG,MAAI,aAAW,MAAI;AAAQ,YAAM,IAAI,MAAM,2FAA2F,IAAI;AAAE,WAAO,EAAE,QAAQ,wBAAwB,GAAE,KAAGA,KAAE,CAAC;AAAA,EAAC;AAAC,MAAG,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG,aAAW,OAAO,KAAG;AAAS,UAAM,IAAI,MAAM,0HAA0H;AAAE,MAAG,KAAG,MAAK;AAAC,OAAG,CAAC;AAAE,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAGA,GAAC;AAAE,MAAE,MAAI,GAAE,MAAI,iCAAiC,8BAA8B,oBAAoB,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,MAAIA,IAAE,SAAO,IAAE,MAAI,GAAG,EAAE,MAAM,CAAC,CAAC,IAAE;AAAG,QAAEA,IAAE,CAAC,MAAI,EAAE,CAAC,KAAG,CAAC,GAAE,MAAI,gDAAgDA,2CAAyC,MAAM;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,IAAE,KAAGA,KAAE,IAAE,MAAI,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,SAAQ,GAAE,SAAQ,GAAE,OAAM,GAAE,QAAO,GAAE,OAAM,GAAE,MAAK,GAAE,WAAU,EAAC;AAAE,IAAI,KAAG;AAAE,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,QAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAQ,EAAE,UAAQ,YAAU,EAAE,UAAQ;AAAY,YAAM,IAAI,MAAM,gCAAgC,OAAO,EAAE,OAAO;AAAE,QAAI,IAAE,EAAC,MAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAE,QAAG,EAAE,UAAQ,UAAS;AAAC,UAAI,IAAE,IAAI,QAAQ,OAAM,MAAG;AAAC,YAAI,IAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,EAAE,QAAO,CAAC,IAAE,KAAG,EAAE,QAAO,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,cAAI,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,YAAY,CAAC,EAAE,MAAM,CAAC,EAAE,MAAM;AAAE,YAAE,IAAI,GAAE,CAAC,GAAE,KAAG,IAAG,EAAE,IAAI,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,QAAM;AAAC,UAAE,CAAC;AAAA,MAAC,CAAC;AAAE,QAAE,KAAK,CAAC;AAAA,IAAC;AAAM,QAAE,KAAK,EAAE,KAAK,CAAC;AAAE,SAAG,SAAO,EAAE,QAAM,IAAGA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,SAAM,EAAC,MAAK,GAAG,CAAC,GAAE,OAAMA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,GAAE,IAAE;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAI,IAAE,EAAE,MAAK,IAAE,EAAE,OAAM,IAAE,EAAE,OAAM,IAAE,GAAG,CAAC,GAAE;AAAE,QAAG,kBAAiB,GAAE;AAAC,UAAI,IAAE,EAAE;AAAa,UAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAS;AAAC,YAAG,EAAE,SAAQ,KAAG,WAAU;AAAG,gBAAM,IAAI,MAAM,UAAU,EAAE,0BAA0B,EAAE,0DAA0D;AAAA,MAAC,WAAS,EAAE,UAAQ,WAAU;AAAC,YAAG,MAAI;AAAU,gBAAM,IAAI,MAAM,UAAU,EAAE,0BAA0B,EAAE,yDAAyD,IAAI;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,UAAU,EAAE,uCAAuC,EAAE,6EAA6E;AAAE,UAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,UAAQ,UAAQ,IAAI,WAAW,CAAC,IAAE,IAAI,YAAY,CAAC;AAAE,UAAG,MAAI;AAAU,YAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAS;AAAC,cAAE,IAAI,aAAa,EAAE,MAAM;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,gBAAI,IAAE,EAAE,CAAC;AAAE,cAAE,CAAC,IAAE,IAAE,EAAE,QAAM,EAAE;AAAA,UAAG;AAAA,QAAC,WAAS,EAAE,UAAQ;AAAU,gBAAI,WAAS,IAAE,GAAG,IAAG,IAAE,EAAE,CAAC;AAAA;AAAO,gBAAM,IAAI,MAAM,iCAAiC,EAAE,gCAAgC;AAAA,eAAU,MAAI,SAAQ;AAAC,YAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ;AAAS,gBAAM,IAAI,MAAM,iCAAiC,EAAE,8BAA8B;AAAE,YAAE,IAAI,WAAW,EAAE,MAAM;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,cAAI,IAAE,EAAE,CAAC;AAAE,YAAE,CAAC,IAAE,KAAK,MAAM,IAAE,EAAE,QAAM,EAAE,GAAG;AAAA,QAAC;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,gCAAgC,OAAO,GAAG;AAAE,WAAG,IAAE;AAAA,IAAC,WAAS,MAAI,UAAS;AAAC,UAAI,IAAE,GAAG,EAAE,KAAK;AAAE,UAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAI,YAAY,EAAE,MAAM,GAAE,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,aAAG;AAAG,YAAI,IAAE,IAAI,WAAW,EAAE,MAAM,GAAE,IAAE,CAAC,CAAC;AAAE,UAAE,KAAK,CAAC,GAAE,KAAG;AAAA,MAAC;AAAA,IAAC,OAAK;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,IAAE,IAAE,CAAC;AAAE,UAAG,MAAI;AAAU,YAAE,IAAI,aAAa,CAAC;AAAA,eAAU,MAAI;AAAQ,YAAE,IAAI,WAAW,CAAC;AAAA,eAAU,MAAI;AAAO,YAAE,IAAI,WAAW,CAAC;AAAA,eAAU,MAAI,aAAY;AAAC,YAAE,IAAI,aAAa,CAAC;AAAE,YAAI,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC,GAAE,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,YAAI,IAAE,GAAG,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,GAAE,SAAS;AAAE,QAAAA,IAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,gCAAgC,OAAO,GAAG;AAAE,WAAG,IAAE;AAAA,IAAC;AAAC,UAAI,gBAAcA,IAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAA,EAAE;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAK,UAAM,IAAI,MAAM,wBAAwB,KAAK,UAAU,CAAC,GAAG;AAAE,MAAI,IAAE,GAAEA,MAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAG,KAAG,EAAE,YAAWA,IAAE,KAAK,EAAE,eAAa,EAAE,OAAO,aAAW,IAAE,IAAI,EAAE,YAAY,CAAC,CAAC,GAAE,EAAE,aAAa,gBAAc,aAAa,cAAY,aAAa;AAAY,YAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,SAAOA,IAAE,QAAQ,OAAG;AAAC,MAAE,IAAI,IAAI,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,EAAU,CAAC,GAAE,EAAE;AAAM;AAAC,IAAI,KAAG,OAAO,UAAQ,gBAAc,OAAO,QAAM,eAAa,OAAO,QAAM,eAAa,OAAO,QAAM;AAAa,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,OAAO,WAAW,CAAC,IAAE,IAAI,KAAK,CAAC,CAAC,CAAC,EAAE;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAG,WAAO,OAAO,KAAK,CAAC,EAAE,SAAS,QAAQ;AAAE,MAAI,IAAE,IAAI,WAAW,CAAC,GAAEA,MAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,IAAE,GAAE;AAAI,IAAAA,OAAG,OAAO,aAAa,EAAE,CAAC,CAAC;AAAE,SAAO,KAAKA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,IAAG;AAAC,QAAI,IAAE,OAAO,KAAK,GAAE,QAAQ;AAAE,WAAO,EAAE,OAAO,MAAM,EAAE,YAAW,EAAE,aAAW,EAAE,UAAU;AAAA,EAAC;AAAC,MAAI,IAAE,KAAK,CAAC,GAAEA,MAAE,IAAI,WAAW,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,IAAI,CAAC,EAAE,WAAW,CAAC,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE;AAAE,IAAE,QAAQ,OAAG;AAAC,SAAG,EAAE;AAAA,EAAU,CAAC;AAAE,MAAIA,MAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,SAAO,EAAE,QAAQ,OAAG;AAAC,IAAAA,IAAE,IAAI,IAAI,WAAW,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,EAAU,CAAC,GAAEA,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAI,OAAI,IAAE,EAAE,KAAK,GAAE,EAAE,SAAS,CAAC;AAAG,QAAE,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC;AAAE,MAAIA,MAAE,EAAE,MAAM,CAAC;AAAE,SAAOA,IAAEA,IAAE,SAAO,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,eAAc,EAAE,eAAc,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,aAAY,iBAAgB,EAAC;AAAE,SAAO,EAAE,aAAW,SAAOA,IAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAOA,IAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAOA,IAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAOA,IAAE,uBAAqB,EAAE,uBAAsB,EAAE,kBAAgB,SAAOA,IAAE,iBAAe,EAAE,iBAAgBA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAC,eAAc,EAAE,eAAc,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,YAAW;AAAE,MAAG,EAAE,kBAAgB,SAAO,EAAE,iBAAe,EAAE,iBAAgB,EAAE,mBAAiB,MAAK;AAAC,QAAG,CAAC;AAAE,YAAM,IAAI,MAAM,uDAAuD;AAAE,QAAG,CAACA;AAAE,YAAM,IAAI,MAAM,sDAAsD;AAAE,MAAE,cAAY,GAAE,EAAE,aAAWA;AAAA,EAAC;AAAC,SAAO,EAAE,aAAW,SAAO,EAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAO,EAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAO,EAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAO,EAAE,uBAAqB,EAAE,uBAAsB;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,KAAE;AAAE,SAAO,EAAE,mBAAiB,SAAO,CAACA,KAAE,CAAC,IAAE,MAAM,EAAE,EAAE,eAAe,IAAG,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,yBAAyB;AAAY,UAAM,IAAI,MAAM,qDAAqD;AAAE,SAAM,EAAC,WAAU,oBAAI,QAAK,mBAAkB,QAAO,oBAAmB,EAAE,iBAAe,OAAK,IAAE,GAAG,KAAK,UAAU,EAAE,aAAa,CAAC,GAAE,kBAAiB,EAAE,eAAa,OAAK,IAAE,GAAG,KAAK,UAAU,EAAE,WAAW,CAAC,GAAE,iBAAgB,EAAE,cAAY,OAAK,IAAE,EAAE,WAAW,WAAU;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,OAAK;AAAE,MAAE,KAAK,GAAGA,IAAE,OAAO;AAAE,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,CAAAA,QAAG;AAAC,QAAI,IAAEA,OAAG,IAAG,IAAE;AAAE,WAAK,EAAE,IAAE;AAAU,WAAG,SAAQ,MAAI;AAAE,WAAO,KAAG,UAAS,KAAG,WAAU,IAAE;AAAA,EAAC,GAAE,IAAE,IAAI,YAAY,IAAI;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,MAAKA;AAAI,MAAEA,GAAC,IAAE,EAAEA,GAAC;AAAE,WAAQA,MAAE,MAAKA,MAAE,MAAKA;AAAI,MAAEA,GAAC,IAAE,aAAWA,MAAE,QAAM;AAAI,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,IAAI,YAAY,EAAE;AAAE,IAAE,CAAC,IAAE,GAAE,EAAE,EAAE,IAAE,YAAW,EAAE,EAAE,IAAE,YAAW,EAAE,EAAE,IAAE;AAAW,WAAQ,IAAE,GAAE,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE,KAAG;AAAG,WAAQ,IAAE,IAAG,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE,cAAY,IAAE,MAAI;AAAI,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,IAAI,YAAY,EAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE;AAAK,SAAO,EAAE,CAAC,IAAE,EAAE,EAAE,IAAE,GAAE;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG,GAAE,IAAE,GAAG,GAAEA,MAAE,GAAG;AAAE,SAAO,OAAG;AAAC,QAAI,IAAE,IAAI,YAAY,IAAE,EAAE,MAAM,GAAE,IAAE,IAAI,YAAY,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAEA,IAAE,KAAG,EAAE,KAAG,IAAE,KAAK,IAAE,EAAE,KAAG,EAAE;AAAE,QAAE,CAAC,IAAE;AAAA,IAAC;AAAC,WAAO,IAAI,aAAa,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,cAAa;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,mBAAmB,GAAE;AAAC,OAAG,YAAY,EAAE,YAAY,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,mBAAmB,GAAE;AAAC,OAAG,YAAY,EAAE,YAAY,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,gBAAgB,GAAE;AAAC,WAAO,GAAG,YAAY,GAAE,MAAM;AAAA,EAAC;AAAA,EAAC,OAAO,gBAAgB,GAAEA,KAAE;AAAC,WAAO,GAAG,YAAY,GAAE,QAAOA,GAAC;AAAA,EAAC;AAAA,EAAC,OAAO,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,YAAOA,QAAI,SAAO,GAAG,YAAY,EAAE,cAAY,GAAG,YAAY,EAAE,aAAa,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,YAAI,QAAM,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE;AAAA,EAAC;AAAC;AAAhjB,IAAkjB,KAAG,OAAG,GAAG,mBAAmB,CAAC;AAA/kB,IAAilB,KAAG,OAAG,GAAG,mBAAmB,CAAC;AAA9mB,IAAgnB,KAAG,OAAG,GAAG,gBAAgB,CAAC;AAA1oB,IAA4oB,KAAG,CAAC,GAAE,MAAI,GAAG,gBAAgB,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAsB,KAAG;AAAzB,IAA2B,KAAG;AAA9B,IAA6C,KAAG;AAAmB,SAAS,KAAI;AAAC,MAAG,CAAC,EAAE,EAAE,QAAQ,YAAY;AAAE,UAAM,IAAI,MAAM,yFAAyF;AAAE,MAAI,IAAE,OAAO,UAAQ,cAAY,OAAK,QAAO,IAAE,EAAE,aAAW,EAAE,gBAAc,EAAE,mBAAiB,EAAE,eAAa,EAAE;AAAc,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,2DAA2D;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,IAAE,kBAAkB,IAAG,EAAC,SAAQ,YAAW,CAAC,GAAE,EAAE,kBAAkB,IAAG,EAAC,SAAQ,YAAW,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAK,YAAU,GAAG,GAAE,KAAG,QAAM,CAAC;AAAE,YAAM,IAAI,MAAM,gEAAgE;AAAE,SAAK,YAAU;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,0FAA0F;AAAE,WAAO,KAAK,eAAe,KAAK,WAAU,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,WAAO,KAAK,eAAe,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE;AAAO,YAAGA,OAAG,MAAK;AAAC,cAAI,IAAE,EAAE,YAAY,IAAG,UAAU,GAAE,IAAE,EAAE,YAAY,EAAE,EAAE,IAAI,KAAK,SAAS;AAAE,YAAE,YAAU,MAAI;AAAC,gBAAG,EAAE,UAAQ;AAAK,qBAAO,EAAE,MAAM,GAAE,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC;AAAE,cAAE,EAAE,OAAO,cAAc;AAAA,UAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,QAAC,OAAK;AAAC,cAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,EAAE,YAAY,IAAG,WAAW,GAAE,IAAE,EAAE,YAAY,EAAE,GAAE,IAAE,EAAE,IAAI,EAAC,WAAU,KAAK,WAAU,oBAAmB,EAAC,CAAC,GAAE;AAAE,YAAE,YAAU,MAAI;AAAC,gBAAE,EAAE,YAAY,IAAG,WAAW;AAAE,gBAAI,IAAE,EAAE,YAAY,EAAE,EAAE,IAAI,EAAC,WAAU,KAAK,WAAU,gBAAeA,KAAE,oBAAmB,EAAC,CAAC;AAAE,cAAE,YAAU,MAAI,EAAE,EAAC,oBAAmB,EAAC,CAAC,GAAE,EAAE,UAAQ,OAAG;AAAC,kBAAE,EAAE,YAAY,EAAE;AAAE,kBAAI,IAAE,EAAE,OAAO,KAAK,SAAS;AAAE,gBAAE,YAAU,OAAK,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK;AAAA,YAAE;AAAA,UAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI;AAAC,iBAAG,OAAK,EAAE,MAAM,IAAE,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAe,IAAI,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,GAAG,UAAU,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,YAAU,GAAG;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAEA,QAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,IAAE,EAAE,YAAY,IAAG,UAAU,GAAE,IAAE,EAAE,YAAY,EAAE,EAAE,OAAO;AAAE,UAAE,YAAU,MAAI;AAAC,cAAI,IAAE,CAAC;AAAE,mBAAQ,KAAK,EAAE;AAAO,cAAE,EAAE,SAAS,IAAE,EAAE;AAAmB,YAAE,CAAC;AAAA,QAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAEA,IAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAGA,IAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,WAAO,IAAE,GAAG,CAAC,GAAE,IAAI,QAAQ,CAACA,KAAE,MAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,IAAE,EAAE,YAAY,IAAG,WAAW,GAAE,IAAE,EAAE,YAAY,EAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE;AAAE,UAAE,YAAU,MAAI;AAAC,cAAG,EAAE,UAAQ;AAAK,mBAAO,EAAE,MAAM,GAAE,EAAE,IAAI,MAAM,gCAAgC,kBAAkB,CAAC;AAAE;AAAC,gBAAI,IAAE,EAAE,OAAO,CAAC,GAAE,IAAE,MAAI;AAAC,kBAAE,EAAE,YAAY,IAAG,WAAW;AAAE,kBAAI,IAAE,EAAE,YAAY,EAAE,EAAE,OAAO,CAAC;AAAE,gBAAE,YAAU,MAAIA,IAAE,EAAE,OAAO,kBAAkB,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,YAAC;AAAE,cAAE,YAAU,GAAE,EAAE,UAAQ,QAAI,EAAE,GAAE,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK;AAAA,UAAE;AAAA,QAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI;AAAC,eAAG,OAAK,EAAE,MAAM,IAAE,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,QAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAAW,KAAG;AAAd,IAAoC,KAAG;AAAvC,IAA8C,KAAG;AAAjD,IAAkE,KAAG;AAArE,IAAoF,KAAG;AAAvF,IAAqG,KAAG;AAAiB,SAAS,GAAG,GAAE;AAAC,SAAM,EAAC,MAAK,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,UAAS,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,aAAY,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,YAAW,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,eAAc,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,WAAQ,KAAK,OAAO,OAAO,CAAC;AAAE,WAAO,aAAa,WAAW,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,EAAE;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,uBAAuB,GAAG;AAAE,SAAO,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,GAAG,UAAU,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,YAAY,KAAG,OAAO,UAAQ,eAAa,OAAO,OAAO,gBAAc;AAAY,YAAM,IAAI,MAAM,yDAAyD;AAAE,QAAG,KAAK,KAAG,OAAO,cAAa,KAAG,QAAM,CAAC;AAAE,YAAM,IAAI,MAAM,oEAAoE;AAAE,SAAK,YAAU,GAAE,KAAK,OAAK,GAAG,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,0FAA0F;AAAE;AAAC,UAAIA,MAAE,KAAK,UAAU,EAAE,aAAa,GAAE,IAAE,KAAK,UAAU,EAAE,WAAW,GAAE,IAAE,GAAG,CAAC;AAAE,UAAG;AAAC,aAAK,GAAG,QAAQ,KAAK,KAAK,MAAK,KAAK,UAAU,CAAC,CAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAASA,GAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAY,CAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAW,GAAG,EAAE,UAAU,CAAC;AAAE,YAAI,IAAE,EAAC,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,aAAY,WAAU,EAAE,aAAW,OAAK,EAAE,YAAU,QAAO,qBAAoB,EAAE,uBAAqB,OAAK,EAAE,sBAAoB,QAAO,kBAAiB,EAAE,oBAAkB,OAAK,EAAE,mBAAiB,QAAO,sBAAqB,EAAE,wBAAsB,OAAK,EAAE,uBAAqB,QAAO,gBAAe,EAAE,kBAAgB,OAAK,EAAE,iBAAe,OAAM;AAAE,eAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,eAAc,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,oBAAmB,EAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,GAAG,KAAK,IAAI,GAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkH,EAAE,wCAAwC,EAAE,qCAAqC,EAAE,kBAAkB;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY;AAAE,QAAG,EAAE,sBAAoB;AAAO,YAAM,IAAI,MAAM,2EAA2E;AAAE,QAAIA,MAAE,CAAC,GAAE,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB;AAAE,IAAAA,IAAE,gBAAc;AAAE,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB;AAAE,IAAAA,IAAE,cAAY;AAAE,QAAI,IAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,MAAM,CAAC;AAAE,MAAAA,IAAE,SAAO,EAAE,QAAOA,IAAE,cAAY,EAAE,aAAYA,IAAE,cAAY,EAAE,aAAY,EAAE,aAAW,SAAOA,IAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAOA,IAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAOA,IAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAOA,IAAE,uBAAqB,EAAE,uBAAsB,EAAE,kBAAgB,SAAOA,IAAE,iBAAe,EAAE;AAAA,IAAe;AAAC,QAAI,IAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB;AAAE,WAAOA,IAAE,aAAW,GAAG,CAAC,GAAEA;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAkB,IAAI,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,MAAE,EAAE,EAAE,QAAQ,YAAY,GAAE,MAAI,0CAA0C,GAAE,EAAE,OAAO,UAAQ,eAAa,OAAO,OAAO,gBAAc,aAAY,MAAI,yDAAyD,GAAE,KAAK,KAAG,OAAO;AAAA,EAAY;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAEA,MAAE,KAAG,IAAG,IAAE,KAAG;AAAG,aAAQ,IAAE,GAAE,IAAE,KAAK,GAAG,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,GAAG,IAAI,CAAC;AAAE,UAAG,EAAE,WAAWA,GAAC,KAAG,EAAE,SAAS,CAAC,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,UAAE,CAAC,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,CAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,QAAE,GAAG,CAAC;AAAE,QAAIA,MAAE,GAAG,CAAC;AAAE,QAAG,KAAK,GAAG,QAAQA,IAAE,IAAI,KAAG;AAAK,YAAM,IAAI,MAAM,8BAA8B,IAAI;AAAE,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQA,IAAE,IAAI,CAAC;AAAE,WAAO,GAAGA,GAAC,GAAE;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAAa,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,WAAS,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,cAAa;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,gBAAgB,GAAEA,KAAE;AAAC,MAAE,KAAG,MAAK,MAAI,uCAAuC,GAAE,EAAE,SAAS,EAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE,QAAQ,EAAE,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qCAAqC;AAAE,QAAI,IAAE,GAAG,YAAY;AAAE,MAAE,EAAE,SAAS,CAAC,KAAG,MAAK,MAAI,2DAA2D,KAAK,GAAE,EAAE,SAAS,CAAC,IAAEA;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAE;AAAC,QAAIA,MAAE,GAAG,YAAY,EAAE,SAAS,CAAC;AAAE,QAAGA,OAAG;AAAK,YAAM,IAAI,MAAM,yCAAyC,IAAI;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,OAAO,aAAY;AAAC,WAAO,OAAO,KAAK,GAAG,YAAY,EAAE,QAAQ;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,QAAQ,EAAE,MAAI;AAAG,UAAM,IAAI,MAAM,6EAA6E,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG;AAAE,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,EAAE,CAAC,GAAE,MAAK,EAAE,MAAM,EAAE,EAAE,CAAC,EAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,IAAE,MAAI,GAAE,MAAI,wCAAwC,IAAI;AAAE,MAAI,IAAE,GAAG,gBAAgB,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,kEAAkE,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,yCAAyC,EAAE,wCAAwC,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,gBAAgB,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,uEAAuE,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,yCAAyC,EAAE,6CAA6C,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,EAAE,QAAO,IAAE,GAAG,CAAC,EAAE,MAAK,IAAE,MAAI,GAAG,CAAC,EAAE,QAAO,IAAE,MAAM,EAAE,KAAK;AAAE,EAAAA,OAAG,KAAG,MAAM,GAAG,WAAW,CAAC,EAAE,YAAY,CAAC;AAAE,MAAI,IAAE,MAAM,EAAE,KAAK,CAAC;AAAE,SAAOA,OAAG,CAAC,KAAG,MAAM,GAAG,WAAW,CAAC,EAAE,YAAY,CAAC,GAAE,EAAE;AAAkB;AAAC,eAAe,KAAI;AAAC,MAAI,IAAE,GAAG,WAAW,GAAE,IAAE,CAAC;AAAE,WAAQA,OAAK,GAAE;AAAC,QAAI,IAAE,MAAM,GAAG,WAAWA,GAAC,EAAE,WAAW;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAEA,MAAE,KAAG;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,KAAE;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,cAAY,oBAAmB,KAAK,eAAa,CAAC,GAAE,KAAK,sBAAoB,GAAE,KAAK,mBAAiB;AAAA,EAAE;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,WAAO,MAAM,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAK;AAAC,WAAO,YAAY,IAAI;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,QAAI,WAASA,QAAI;AAAO,YAAM,IAAI,MAAM,kDAAkDA,KAAG;AAAE,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAI,gBAAa,KAAK,YAAY,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,WAAO,IAAI,YAAYA,GAAC,EAAE,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,QAAG,OAAO,UAAQ,eAAa,CAAC,EAAE,EAAE,QAAQ,sBAAsB,GAAE;AAAC,iBAAW,GAAEA,GAAC;AAAE;AAAA,IAAM;AAAC,SAAK,aAAa,KAAK,CAAC,GAAE,WAAW,MAAI;AAAC,aAAO,YAAY,EAAC,MAAK,KAAK,aAAY,OAAM,KAAK,aAAa,SAAO,EAAC,GAAE,GAAG;AAAA,IAAC,GAAEA,GAAC,GAAE,KAAK,qBAAmB,KAAK,mBAAiB,MAAG,OAAO,iBAAiB,WAAU,OAAG;AAAC,UAAG,EAAE,WAAS,UAAQ,EAAE,KAAK,SAAO,KAAK,aAAY;AAAC,UAAE,gBAAgB;AAAE,YAAI,IAAE,KAAK,aAAa,EAAE,KAAK,KAAK;AAAE,UAAE,GAAE,KAAK,uBAAsB,KAAK,wBAAsB,KAAK,aAAa,WAAS,KAAK,eAAa,CAAC,GAAE,KAAK,sBAAoB;AAAA,MAAE;AAAA,IAAC,GAAE,IAAE;AAAA,EAAE;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,aAAa,gBAAc,aAAa,cAAY,aAAa,cAAY,aAAa;AAAA,EAAiB;AAAC;AAAE,IAAG,EAAE,EAAE,IAAI,YAAY,GAAE;AAAC,IAAE,EAAE,YAAY,WAAU,IAAI,IAAE;AAAE,MAAG;AAAC,OAAG,gBAAgB,GAAG,YAAW,IAAI,IAAE;AAAA,EAAC,SAAO,GAAN;AAAA,EAAS;AAAC,MAAG;AAAC,OAAG,gBAAgB,GAAG,YAAW,IAAI,IAAE;AAAA,EAAC,SAAO,GAAN;AAAA,EAAS;AAAC;AAAC,IAAI,KAAG,EAAC,aAAY,MAAI,GAAG,EAAC;AAA5B,IAA8B;AAAG,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,OAAK,GAAG,GAAE,KAAK,cAAY,IAAI,KAAK,KAAK;AAAA,EAAW;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,WAAO,EAAE,EAAE,OAAO,SAAO,OAAK,EAAE,EAAE,OAAO,MAAM,GAAEA,GAAC,KAAG,MAAI,SAAO,KAAG,GAAG,YAAY,IAAG,GAAG,GAAEA,GAAC;AAAA,EAAE;AAAA,EAAC,MAAK;AAAC,QAAI,IAAE,QAAQ,OAAO;AAAE,WAAO,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAA,EAAG;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,QAAI,WAASA,QAAI;AAAO,YAAM,IAAI,MAAM,sDAAsDA,KAAG;AAAE,WAAO,KAAK,YAAY,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,WAAO,EAAE,WAAS,IAAE,KAAG,IAAI,KAAK,KAAK,YAAYA,GAAC,EAAE,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,KAAK,MAAM,eAAe,CAAC,KAAG,KAAK,KAAK,MAAM,aAAa,CAAC,KAAG,KAAK,KAAK,MAAM,aAAa,CAAC,KAAG,KAAK,KAAK,MAAM,oBAAoB,CAAC;AAAA,EAAC;AAAC;AAAE,EAAE,EAAE,IAAI,SAAS,KAAG,CAAC,EAAE,EAAE,IAAI,YAAY,KAAG,EAAE,EAAE,YAAY,QAAO,IAAI,IAAE;AAAE,SAAS,GAAG,GAAE,IAAE,WAAUA,KAAE;AAAC,SAAO,IAAE,KAAG,WAAU,GAAG,CAAC,GAAE,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAG,CAAC,GAAG,CAAC;AAAE,UAAM,IAAI,MAAM,mCAAmC,GAAG;AAAE,MAAG,MAAI,YAAUA,IAAE,UAAQ,YAAU,MAAI,YAAUA,IAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,uCAAuC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,UAAQ,IAAI,EAAE,SAAS,CAAC,CAAC;AAAC;AAAC,GAAG;AAAE,IAAI,KAAG,EAAC,QAAO,IAAG,MAAK,IAAG,OAAM,IAAG,OAAM,GAAE;AAAE,GAAG,EAAE;AAAE,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,QAAO,IAAE;AAAC;AAAC,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,SAAQ,IAAE;AAAC;AAAC,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,gCAA+B,KAAE,GAAE,QAAQ,KAAK,wDAAwD;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,QAAQ,8BAA8B,KAAG,QAAQ,KAAK,IAAE,6EAA6E;AAAC;AAAC,GAAG,EAAE;AAAE,SAAS,MAAK;AAAC,IAAE,iBAAiB;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE,OAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,KAAK,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,KAAG,CAAC,EAAE,QAAQ,CAAAA,QAAGA,IAAE,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,KAAK,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,KAAK,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,WAAW,CAAC;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE,MAAM;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE;AAAW;AAAC,SAAS,IAAI,GAAE;AAAC,IAAE,cAAc,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,YAAY,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,mBAAmB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,gBAAgB,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE;AAAO;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,IAAE,EAAE,YAAY,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,UAAU,GAAE,IAAE,EAAE,GAAE,KAAI,UAAU;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,CAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAAS,EAAE,UAAQ;AAAQ,WAAO,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC,GAAE,IAAE,CAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,WAAO,EAAE,UAAU,IAAGA,GAAC;AAAA,EAAC,OAAK;AAAC,QAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,WAAO,EAAE,UAAU,IAAGA,GAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,MAAM,QAAQ,CAAC,GAAE,MAAI,4DAA4D,GAAE,EAAE,EAAE,UAAQ,GAAE,MAAI,uDAAuD,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,MAAM,CAAC,GAAEA,MAAE,EAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAG,EAAE,UAAQA,IAAE;AAAM,YAAM,IAAI,MAAM,0DAA0D;AAAA,EAAC,CAAC,GAAE,EAAE,QAAQ,OAAG;AAAC,QAAG,CAAC,GAAG,EAAE,OAAMA,IAAE,KAAK;AAAE,YAAM,IAAI,MAAM,0DAA0D;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,KAAI,OAAO;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,CAAC,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAK,MAAK,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,gBAAe;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE;AAAE,MAAG,MAAI;AAAe,QAAE,CAAC,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,WAAU,MAAI;AAAgB,QAAE,CAAC,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAG,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE;AAAE,MAAG,MAAI;AAAQ,QAAE,gBAAe,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,iBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,OAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,OAAG,IAAE,gBAAe;AAAC,MAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,IAAG,EAAE;AAAE,MAAG,MAAI;AAAe,KAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA,WAAU,MAAI;AAAgB,KAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,MAAG,CAAC,GAAE,GAAE,EAAC,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE;AAAE,SAAO,MAAI,kBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,mBAAiB,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAG,EAAC,WAAU,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,aAAY,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,uBAAsB,GAAE,sBAAqB,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,GAAE,UAAS,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,gBAAe,GAAE;AAAC,MAAG,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,MAAG,MAAI;AAAe,KAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA,WAAU,MAAI;AAAgB,KAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,MAAG,CAAC,GAAE,GAAE,GAAE,EAAC,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,EAAC,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE;AAAE,SAAO,MAAI,kBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,mBAAiB,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAG,EAAC,WAAU,GAAE,YAAW,GAAE,SAAQ,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,GAAE,aAAY,GAAE,SAAQ,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,sBAAqB,GAAE,uBAAsB,GAAE,sBAAqB,GAAE,eAAc,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,GAAE,UAAS,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAG,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,CAAC,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,GAAE,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,IAAE,IAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,IAAE,GAAE,CAAC;AAAG,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,KAAK,OAAO,EAAE,CAAC,KAAGA,MAAE,KAAGA,MAAE,KAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,WAAS,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,KAAG,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,GAAE,GAAE;AAAE,MAAG,OAAO,KAAG,UAAS;AAAC,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,MAAI,IAAE,UAAQ,SAAQ;AAAE,QAAI,IAAE,GAAG,CAAC,GAAEA,GAAC,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,QAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC,WAAS,MAAI,QAAO;AAAC,QAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,MAAE,CAAC;AAAE,QAAI,IAAE,KAAK,IAAI,IAAG,IAAE,KAAG,IAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,IAAG,IAAE,KAAG,IAAE,IAAEA,GAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,OAAM;AAAA,EAAC,WAAS,MAAI;AAAQ,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,QAAO,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,KAAG,CAAC,GAAE,IAAE,KAAK,MAAMA,MAAE,IAAE,KAAG,CAAC;AAAA,WAAU,OAAO,KAAG,UAAS;AAAC,QAAI,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,UAAQ,WAAU,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAG,IAAE,GAAE,CAAC,GAAE,IAAE,IAAIA,MAAE,IAAE,IAAE,KAAG,IAAE,GAAE,CAAC;AAAA,EAAC;AAAM,UAAM,MAAM,8BAA8B,GAAG;AAAE,SAAM,EAAC,SAAQ,GAAE,WAAU,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,GAAE,GAAE,GAAE;AAAE,MAAG,MAAI,YAAU,IAAE,IAAG,OAAO,KAAG,UAAS;AAAC,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,OAAM,GAAE,MAAK,GAAE,MAAK,MAAI,IAAE,UAAQ,SAAQ;AAAE,QAAI,IAAE,GAAG,CAAC,GAAEA,KAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC,WAAS,MAAI,QAAO;AAAC,QAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,MAAE,CAAC,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC;AAAE,QAAI,KAAG,IAAE,KAAG,IAAE,IAAE,GAAE,KAAG,IAAE,KAAG,IAAE,IAAEA,KAAE,KAAG,IAAE,KAAG,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,OAAM,GAAE,MAAK,GAAE,MAAK,OAAM;AAAA,EAAC;AAAM,UAAM,MAAM,8BAA8B,GAAG;AAAE,SAAM,EAAC,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAAC;AAAE,WAAO,KAAK,MAAM,CAAC;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAQ,aAAO,KAAK,MAAM,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,KAAK,KAAK,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAO,KAAK,MAAM,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,wBAAwB,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,CAAC,GAAEA,KAAE,CAAC,IAAE,GAAG,CAAC;AAAE,SAAO,MAAI,KAAGA,QAAI,KAAG,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,CAAC,KAAG,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC,EAAE,MAAM,OAAG,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAO,WAAM;AAAe,MAAG,MAAI;AAAO,WAAM;AAAgB,QAAM,IAAI,MAAM,sBAAsB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,MAAK;AAAC,QAAG,OAAO,KAAG;AAAS,YAAM,MAAM,YAAY,wDAAwDA,mBAAiB,IAAI;AAAE,QAAG,OAAO,KAAG;AAAS,QAAE,GAAG,CAAC,GAAE,MAAI,YAAY,wDAAwDA,mBAAiB,IAAI;AAAA,aAAU,OAAO,KAAG;AAAS,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ,OAAG;AAAC,YAAE,GAAG,CAAC,GAAE,MAAI,YAAY,wDAAwDA,mBAAiB,IAAI;AAAA,QAAC,CAAC;AAAA,MAAC,CAAC;AAAA;AAAO,YAAM,MAAM,YAAY,iCAAiC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,IAAE,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAU,SAAS,GAAE,IAAE;AAAE,IAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,wEAAwEA,sBAAoB,IAAI;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,OAAO,GAAE,GAAG,WAAU,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,aAAY,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,EAAE,MAAI,SAAQ,MAAI,gFAAgF,GAAG,GAAE,EAAE,OAAOA,OAAG,YAAUA,MAAE,KAAG,MAAM,QAAQA,GAAC,KAAGA,IAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,IAAE,GAAE,MAAI,oDAAoDA,MAAI,GAAE,GAAG,aAAY,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,GAAE,MAAI,oCAAoC;AAAE,MAAIA,MAAE,GAAG,GAAE,WAAU,UAAS,mBAAmB;AAAE,MAAGA,IAAE,CAAC,EAAE,UAAQ,eAAaA,IAAE,QAAQ,OAAG;AAAC,QAAG,EAAE,UAAQ;AAAY,YAAM,IAAI,MAAM;AAAA,uBAC7yxD,EAAE,SAAS;AAAA,EAAC,CAAC,GAAEA,IAAE,WAAS;AAAE,WAAO,GAAGA,IAAE,CAAC,CAAC;AAAE,MAAI,IAAEA,KAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,KAAI,QAAQ;AAAE,GAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,IAAE,EAAC,YAAWA,KAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAU,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gCAAgC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,cAAa,eAAe,GAAE,IAAE,EAAE,GAAE,cAAa,eAAe,GAAE,IAAE,EAAEA,KAAE,YAAW,eAAe,GAAE,IAAE,EAAE,GAAE,QAAO,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe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gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAgB,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC;AAAE,IAAE,EAAE,QAAM,IAAE,EAAE,QAAO,MAAI,iBAAiB,EAAE,+CAA+C,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,EAAE,QAAO,MAAI,mBAAmBA,IAAE,oDAAoD,EAAE,QAAQ,GAAE,EAAE,EAAE,MAAM,CAAC,IAAE,MAAI,GAAE,MAAI,yBAAyB,EAAE,MAAM,CAAC,uEAAuE,EAAE,KAAK,KAAK,SAAS,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI;AAAE,SAAO,EAAE,SAAO,KAAG,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,GAAE,EAAE,IAAI,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE;AAAM,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,EAAE,MAAK,MAAI,8EAA8E,GAAE,EAAE,KAAG,QAAM,EAAE,SAAO,EAAE,MAAK,MAAI,4EAA4E,GAAE,EAAE,KAAG,QAAM,EAAE,SAAO,EAAE,MAAK,MAAI,2EAA2E;AAAE,MAAI,IAAE,EAAC,GAAE,GAAG,CAAC,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,GAAE,IAAE,EAAC,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,EAAE,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAU,GAAE,IAAE,EAAE,GAAE,WAAU,UAAU;AAAE,IAAE,EAAE,UAAQ,SAAQ,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAEA,OAAG,GAAE,MAAI,sCAAsCA,MAAI,GAAE,EAAE,EAAE,SAAO,EAAE,QAAM,EAAE,SAAO,GAAE,MAAI,gGAAgG,EAAE,yBAAyB,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,MAAK,iBAAgB,OAAO;AAAE,MAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oEAAoEA,IAAE,MAAM;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM;AAAE,MAAI,IAAE,EAAC,IAAGA,KAAE,IAAG,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,eAAc,GAAG,GAAE,IAAEA,IAAE;AAAM,MAAG,GAAG,CAAC,GAAE,EAAE,SAAOA,IAAE;AAAK,UAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,IAAE,OAAO;AAAE,MAAG,EAAE,SAAOA,IAAE,MAAK;AAAC,QAAI,IAAEA,IAAE,MAAM,MAAM;AAAE,WAAK,EAAE,SAAO,EAAE;AAAQ,QAAE,QAAQ,CAAC;AAAE,IAAAA,MAAE,EAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,OAAM,IAAE,MAAM,KAAK,CAAC;AAAE,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE;AAAI,QAAG,EAAE,CAAC,MAAI,EAAE,CAAC;AAAE,QAAE,CAAC,IAAE;AAAA,aAAUA,IAAE,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,mBAAmB,8BAA8B,KAAK;AAAE,MAAG,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,EAAE,EAAE,OAAO,OAAG,KAAG,CAAC,EAAE,WAAS;AAAE,WAAO,GAAGA,GAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,CAAC;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,aAAa;AAAE,MAAG,EAAE,KAAGA,KAAE,MAAI,uBAAuB,yCAAyCA,OAAK,GAAE,MAAIA;AAAE,WAAO,GAAG,EAAE,OAAM,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,cAAa,GAAE,cAAaA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,UAAS,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,GAAG,UAAS,GAAE,CAAC;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,mDAAmD;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAM,IAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,UAAS,QAAQ,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,GAAG,UAAS,GAAE,CAAC,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,MAAM,CAAC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,oEAAoEA,qBAAmB,IAAI,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,kDAAkD,GAAE,EAAE,MAAI,OAAM,MAAI,sCAAsC,wCAAwC;AAAE,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,GAAC,GAAE,GAAE,QAAO,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,QAAO,GAAE;AAAC,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,sBAAsB,EAAE,2BAA2B,EAAE,kBAAkB;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,EAAE,EAAE,WAAS,GAAE,MAAI,qEAAqE,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,MAAM,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,gEAAgEA,IAAE,MAAM;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,MAAM,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,6CAA6C,yCAAyCA,IAAE,MAAM,CAAC,IAAI,GAAE,GAAG,kBAAiB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,UAAS,iBAAiB;AAAE,SAAO,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,QAAO,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,SAAQ,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,UAAS,QAAQ,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,MAAM,CAAC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI,GAAE,EAAE,MAAI,SAAQ,MAAI,sCAAsC,0CAA0C,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,mDAAmD;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,sBAAsB,EAAE,2BAA2B,EAAE,kBAAkB;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,WAAS,GAAE,MAAI,qEAAqE,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,MAAM,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,gEAAgEA,IAAE,MAAM,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,MAAM,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,6CAA6C,yCAAyCA,IAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,UAAS,iBAAiB;AAAE,SAAO,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAS,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,WAAUA,KAAE,SAAQ,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,WAAUA,KAAE,SAAQ,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,WAAU,eAAe;AAAE,IAAE,EAAE,UAAQ,SAAQ,MAAI,8DAA8D,EAAE,OAAO,GAAE,EAAE,EAAE,QAAM,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,EAAEA,OAAG,GAAE,MAAI,sCAAsCA,MAAI,GAAE,EAAE,EAAE,SAAO,EAAE,QAAM,EAAE,SAAO,GAAE,MAAI,+FAA+F,EAAE,yBAAyB,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,KAAE,cAAa,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAe,SAAS,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,IAAE,GAAE,MAAI,sDAAsD,GAAG,GAAE,EAAE,IAAE,KAAG,GAAE,MAAI;AAAA,MACnya,SAAS;AAAA,MACT,EAAE,OAAO,GAAE,EAAE,IAAE,KAAG,GAAE,MAAI;AAAA,MACxB,SAAS;AAAA,UACL,EAAE,OAAO,GAAE,EAAE,KAAG,IAAE,OAAK,GAAE,MAAI,8CAA8C,IAAE,YAAY,uCAAuC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,WAAU,GAAE,YAAWA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,mBAAkB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAkB,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,iEAAiE,EAAE,OAAO;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,uDAAuD,oDAAoD,EAAE,MAAM,CAAC,IAAI,GAAE,GAAG,mBAAkB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,YAAY,GAAE,IAAE,EAAE,GAAE,UAAS,YAAY;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,OAAO,GAAE,EAAE,MAAI,QAAO,MAAI,gFAAgF,GAAG;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,OAAI,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oEAAoE,EAAE,MAAM,CAAC,QAAQ,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,4BAA2B,MAAI,IAAG,kBAAiB,MAAI,IAAG,kBAAiB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,KAAI;AAAC,QAAI,IAAEA,MAAE,IAAE,GAAE,IAAE,EAAE,CAAC,KAAG;AAAE,KAAC,EAAE,EAAE,SAAO,IAAE,CAAC,KAAG,KAAG,KAAG,MAAI,KAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC,GAAE,IAAE,EAAE,SAAO,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,KAAC,KAAG,QAAM,MAAI,KAAG,IAAE,MAAIA,IAAE,QAAQ,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,QAAO,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC;AAAE,SAAG,SAAO,IAAE;AAAG,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC;AAAE,QAAG,KAAG,SAAO,IAAE,IAAG,MAAI;AAAE,MAAAA,IAAE,QAAQ,CAAC;AAAA,aAAU,MAAI;AAAE,MAAAA,IAAE,QAAQ,CAAC;AAAA,aAAU,MAAI,GAAE;AAAC,UAAI,IAAE,wDAAwD,SAAS;AAAK,YAAM,MAAM,CAAC;AAAA,IAAC;AAAM,MAAAA,IAAE,QAAQ,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAEA,KAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,aAAY,SAAQ,MAAM,GAAE,IAAE,GAAG,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,KAAK,GAAE,IAAE,EAAE,GAAE,MAAK,KAAK;AAAE,KAAGA,IAAE,SAAO,KAAGA,IAAE,SAAO,OAAK,EAAE,SAAO,KAAG,EAAE,SAAO,IAAG,MAAI,+DAA+DA,IAAE,YAAY,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAO,IAAEA,IAAE,OAAKA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,SAAO,IAAE,EAAE,OAAK,EAAE,MAAM,CAAC;AAAE,MAAG,EAAE,MAAI,GAAE,MAAI,gEAAgE,SAAS,IAAI,GAAEA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAEA,KAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,CAAC;AAAA,EAAC,WAASA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAEA,KAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC;AAAA,EAAC,WAASA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAE,WAAO,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,MAAK,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,QAAQ,CAAC,GAAE,IAAE,EAAC,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,UAAQ,WAAU,MAAI,2CAA2C,GAAE,EAAE,UAAQ,YAAU,IAAE,GAAG,GAAE,SAAS;AAAG,MAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA;AAAE,QAAG,EAAE,EAAE,SAAOA,MAAE,CAAC,MAAI,IAAE,IAAEA;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAO,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,IAAE,QAAQ,CAAC,MAAI,KAAG,EAAE,KAAK,EAAE,GAAG,CAAC,IAAE,EAAE,KAAK,EAAE,GAAG,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,QAAQ,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC;AAAE,SAAM,CAACA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAI,OAAG,CAAC;AAAE,SAAO,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,GAAG,GAAEA,GAAC,GAAE,MAAI,GAAG,qDAAqD,cAAcA,YAAU;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,CAAC;AAAE,WAAO;AAAK,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAIA,IAAE,KAAK,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,KAAK,CAAC,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,CAAC,GAAEA,QAAI,CAACA,KAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAEA,QAAI,EAAE,CAAC,IAAEA,IAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,KAAK,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC,GAAE,IAAE,EAAC,kBAAiB,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,QAAO,KAAK,GAAE,IAAE,EAAE,GAAE,OAAM,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,OAAI,GAAG,CAAC,KAAG,MAAI,YAAU,MAAM,QAAQ,CAAC,MAAI,MAAI;AAAY,UAAM,IAAI,MAAM,gFAAgF;AAAE,MAAG,MAAI,YAAU,GAAG,CAAC,KAAG,EAAE,aAAa;AAAY,UAAM,IAAI,MAAM,2EAA2E;AAAE,SAAO,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAEA,MAAE,CAAC;AAAE,SAAO,EAAE,UAAU,UAAS,EAAC,GAAE,EAAC,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,IAAE,UAAQ,WAAS,IAAE,GAAG,GAAE,OAAO;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,aAAYA,MAAE,MAAK,IAAE,OAAG;AAAC,MAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE;AAAM,MAAG,GAAE;AAAC,QAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,QAAE,GAAG,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAK;AAAC,MAAG,EAAE,SAAO;AAAE,WAAO,GAAG,CAAC;AAAE,MAAG,EAAE,SAAO,KAAGA,QAAI;AAAK,WAAO,GAAG,EAAE,GAAE,CAAC,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAE,MAAG,EAAE,SAAO,KAAG,OAAOA,OAAG,YAAU,MAAM,QAAQA,GAAC,KAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,MAAI;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,IAAE;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,KAAG;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,eAAa,MAAI;AAAE,aAAO,GAAG,GAAG,GAAG,GAAG,CAAC,GAAE,GAAG,GAAE,OAAO,CAAC,GAAEA,GAAC,CAAC;AAAE,UAAM,IAAI,MAAM,qCAAqC,GAAG;AAAA,EAAC;AAAC,MAAG,MAAM,QAAQA,GAAC,KAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,MAAI;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,IAAE,CAAC;AAAE,QAAG,MAAI,IAAE;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,MAAI,KAAG;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,MAAI,SAAO,MAAI;AAAY,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,GAAC,CAAC;AAAE,UAAM,IAAI,MAAM,qCAAqC,GAAG;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,gCAAgCA,KAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,SAAO,GAAG,GAAE,aAAY,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,mBAAmB;AAAE,IAAE,KAAGA,IAAE,MAAK,MAAI,oCAAoC;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC,GAAE,IAAE,EAAC,KAAI,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB;AAAE,IAAEA,IAAE,SAAO,EAAE,QAAO,MAAI,qCAAqCA,IAAE,kCAAkC,IAAI;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,OAAG,SAAO,IAAE;AAAG,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,IAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,IAAI,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,SAAS,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,MAAGA,OAAG;AAAK,WAAO;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,qEAAqEA,IAAE,UAAU;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,WAAU,UAAS,OAAO,GAAE,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,KAAE,WAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,OAAM,EAAE,GAAE,SAAQ,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAW,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,aAAY,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,aAAY,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG;AAAE,UAAM,IAAI,MAAM,0CAA0C;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAIA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,IAAE,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,4BAA4B;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI;AAAA,sBAC92T,EAAE,OAAO,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,2FAA2F,IAAI;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,aAAY,GAAE,MAAKA,KAAE,OAAM,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,6BAA4B,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,4CAA4C,GAAE,CAAC,GAAEA,QAAI;AAAC,QAAI,IAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,GAAE,IAAEA,OAAG,OAAK,EAAEA,KAAE,MAAK,SAAS,IAAE;AAAK,WAAO,EAAE,KAAK,MAAI;AAAC,UAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,aAAO,KAAG,QAAM,GAAG,EAAE,OAAM,EAAE,OAAM,gFAAgF,GAAE,GAAG,CAAC,GAAE,EAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,6CAA6C,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,MAAM,QAAQ,CAAC,GAAE,MAAI,kFAAkF;AAAE,QAAI,IAAE,GAAG,GAAE,QAAO,YAAW,mBAAmB,GAAE,IAAEA,OAAG,OAAK,EAAEA,KAAE,MAAK,UAAU,IAAE;AAAK,WAAO,EAAE,KAAK,MAAI;AAAC,UAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,GAAG,CAAC,GAAE,GAAE,CAAC;AAAE,aAAO,KAAG,QAAM,GAAG,EAAE,OAAM,EAAE,OAAM,+FAA+F,GAAE,GAAG,CAAC,GAAE;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,oDAAoD,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,aAAa,IAAG,MAAI,qDAAqD,GAAE,EAAEA,OAAG,QAAMA,eAAa,IAAG,MAAI,0DAA0D;AAAE,QAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,CAAC,GAAE,CAAC,CAAC,GAAEA,GAAC;AAAE,WAAO,GAAG,CAAC,GAAE,EAAC,MAAK,EAAE,CAAC,GAAE,OAAM,EAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,qDAAqD,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,MAAM,QAAQ,CAAC,KAAG,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,oEAAoE,GAAE,EAAEA,OAAG,QAAMA,eAAa,IAAG,MAAI,8DAA8D;AAAE,QAAI,IAAE,EAAE,UAAU,MAAI,EAAE,GAAG,CAAC,GAAE,GAAEA,GAAC;AAAE,WAAOA,OAAG,QAAM,GAAG,EAAE,MAAM,OAAMA,IAAE,OAAM,uGAAuG,GAAE,GAAG,EAAE,KAAK,GAAE;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,GAAG,CAAC,GAAE,MAAI,qDAAqD,GAAE,EAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,+EAA+E;AAAE,MAAIA,MAAE,KAAG;AAAK,MAAG,CAACA,KAAE;AAAC,QAAE,CAAC;AAAE,aAAQ,KAAK,EAAE;AAAoB,QAAE,KAAK,EAAE,oBAAoB,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,MAAE,EAAE,OAAO,OAAG,CAAC,EAAE,SAAS,IAAE,MAAK,IAAE,EAAE;AAAO,MAAE,EAAE,OAAO,OAAG,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,gGAAgG,2BAA2B;AAAE,MAAI,IAAE,MAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,GAAE,GAAE,MAAK,CAAC;AAAE,IAAE,EAAE,KAAK,OAAG,KAAG,IAAI,GAAE,MAAI,8LAA8L,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,iFAAiF,EAAE,aAAa;AAAE,MAAI,IAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,CAAC,KAAG,SAAO,EAAE,EAAE,IAAI,IAAE,EAAE,CAAC;AAAA,EAAE,CAAC,GAAE,KAAG,QAAM,EAAE,QAAQ,OAAG,EAAE,EAAE,IAAI,IAAE,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,OAAO,CAAAA,QAAGA,OAAG,IAAI,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,oEACryG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,YAAY;AAAE,SAAO,GAAG,QAAI,EAAC,OAAM,GAAG,GAAG,GAAG,CAAC,CAAC,CAAC,GAAE,UAAS,OAAG,GAAG,GAAE,GAAG,GAAG,CAAC,CAAC,CAAC,EAAC,EAAE,EAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,IAAG;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,YAAY;AAAE,MAAG,MAAI,OAAK,IAAEA,IAAE,OAAK,IAAG,MAAIA,IAAE,OAAK;AAAE,UAAM,MAAM,gFAAgFA,IAAE,qBAAqB,GAAG;AAAE,SAAO,GAAG,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,SAAS,GAAE,GAAG,GAAG,GAAG,CAAC,GAAE,GAAE,IAAE,CAAC,CAAC;AAAE,WAAO,EAAE,CAAC,CAAC,CAAC,GAAE,EAAC,OAAM,GAAE,UAAS,CAAC,GAAE,MAAI;AAAC,UAAG,CAAC,CAAC,IAAE,GAAE,IAAE,MAAG,IAAE,GAAG,CAAC;AAAE,aAAO,GAAG,GAAE,GAAG,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC,CAAC,EAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,GAAE,EAAE,KAAK,GAAE,CAAC;AAAE,MAAGA,KAAE;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,cAAa,MAAM;AAAE,KAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,cAAa,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,aAAY,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,aAAY,MAAM;AAAE,KAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,cAAa,MAAM;AAAE,SAAO,GAAGA,IAAE,OAAM,EAAE,KAAK,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAG,GAAE,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG;AAAW,SAAS,GAAG,GAAE,GAAEA,MAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,kBAAiB,cAAc,GAAE,IAAE,EAAE,GAAE,UAAS,cAAc,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,sDAAsD;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,GAAG,EAAE,KAAK,KAAG;AAAG,UAAM,IAAI,MAAM,qCAAqC,IAAI;AAAE,MAAG,EAAE,MAAM,CAAC,KAAG;AAAG,UAAM,IAAI,MAAM,oCAAoC,iCAAiC,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,wEAAwEA,sBAAoB,IAAI,GAAE,GAAG,WAAU,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAEA,KAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,EAAE,MAAI,SAAQ,MAAI,gFAAgF,GAAG,GAAE,GAAG,aAAY,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,mBAAmB,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,qBAAoB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,CAAC,GAAE,SAAQ,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAASA,MAAE,GAAGA,KAAE,OAAO,GAAE,IAAE,GAAG,GAAE,OAAO,IAAG,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,WAAU;AAAC,MAAG,GAAG,CAAC,GAAE,MAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,SAAS;AAAE,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAIA,MAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,SAAO,EAAE,WAAWA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,WAAU;AAAC,MAAG,GAAG,CAAC,GAAE,MAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,SAAS;AAAE,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAIA,MAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,SAAO,EAAE,WAAWA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE,EAAC,UAASA,MAAE,KAAI,IAAE,CAAC,GAAE;AAAC,MAAGA,QAAI,QAAMA,QAAI;AAAK,UAAM,IAAI,UAAU,GAAGA,+CAA6C;AAAE,MAAG,MAAI;AAAO,WAAM,CAAC;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,YAAW,aAAa,KAAG,EAAE,QAAM,SAAS;AAAE,MAAG,MAAI;AAAO,WAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,YAAW,aAAa,KAAG,EAAE,QAAM,SAAS,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAE,KAAK;AAAE,SAAOA,QAAI,QAAM,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,CAAC,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,CAAC,GAAE,GAAG,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,CAAC,MAAI,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAG,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,CAAC,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAASA,MAAE,GAAGA,KAAE,OAAO,GAAE,IAAE,GAAG,GAAE,OAAO,IAAG,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAEA,QAAI,aAAWA,QAAI,aAAY,MAAI,+DAA+DA,MAAI;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,wCAAwC,EAAE,aAAa,EAAE,SAAS;AAAE,MAAI,IAAEA,QAAI,YAAU,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,MAAE,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,EAAE,EAAE,CAAC,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,EAAE,MAAM,CAAC,IAAE,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,EAAE,MAAM,CAAC,IAAE,GAAE,MAAI,wBAAwB,wCAAwC,EAAE,MAAM,CAAC,IAAE,uCAAuC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,UAAS,GAAE,MAAKA,IAAC,GAAE,IAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,MAAI,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE;AAAM,EAAAA,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAG,MAAI,IAAE,GAAG,GAAG,GAAG,GAAE,SAAS,GAAE,EAAE,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,MAAK,GAAE,UAAS,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,IAAE,GAAGA,KAAE,KAAI,cAAc,GAAE,IAAE,GAAG,GAAE,KAAI,cAAc,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,MAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,MAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,IAAE,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,aAAa,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE;AAAK,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,+DAA+D,IAAI;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,gDAAgD,GAAG;AAAE,EAAAA,MAAEA,OAAG,KAAK,OAAO;AAAE,MAAI,IAAE,EAAC,QAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,MAAKA,KAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,YAAW,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,YAAW,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,GAAE,IAAE,SAAQ;AAAC,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,iDAAiD,GAAG;AAAE,MAAI,IAAE,EAAC,SAAQ,EAAE,GAAE,WAAU,UAAS,OAAO,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQA,KAAE,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,cAAc,GAAE,IAAE,EAAE,GAAE,MAAK,cAAc;AAAE,IAAEA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,+DAA+DA,IAAE,YAAY,EAAE,OAAO;AAAE,MAAI,IAAE,EAAEA,KAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,MAAI,IAAE,EAAC,UAAS,GAAE,eAAcA,IAAC,GAAE,IAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,GAAE,MAAI,kDAAkD,GAAE,GAAG,GAAE,CAAC,CAAC,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAgB;AAAE,IAAE,EAAE,QAAM,IAAE,EAAE,QAAO,MAAI,cAAc,EAAE,sCAAsC,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,EAAE,QAAO,MAAI,qBAAqBA,IAAE,wCAAwC,EAAE,QAAQ,GAAE,EAAE,EAAE,MAAM,OAAO,CAAC,GAAE,GAAE,MAAI,IAAE,KAAG,KAAG,EAAE,SAAO,MAAI,IAAEA,IAAE,IAAE,CAAC,EAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,EAAE,CAAC,KAAG,EAAE,IAAE,CAAC,MAAI,IAAE,GAAE,IAAE,GAAE,MAAI,4BAA4B,EAAE,MAAM,MAAM,CAAC,mBAAmBA,IAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,KAAG,SAAO,IAAE,IAAG,MAAI,MAAI,IAAE;AAAS,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,GAAG,GAAE,CAAC,GAAE,MAAI,qEAAqE,oBAAoB,IAAI;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE;AAAE,QAAI,SAAO,IAAE,GAAG,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,IAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,EAAE,UAAS,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,SAAQ,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,KAAGA,QAAI,QAAM,MAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAG,GAAE,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,OAAO,GAAE,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,OAAK,IAAE,EAAE,CAAC,IAAE,KAAG,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,IAAE,MAAI,EAAE,CAAC,IAAE,EAAE,EAAE,IAAI,OAAG,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,SAAQ,OAAO,GAAE,IAAE,EAAC,GAAEA,KAAE,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,MAAM;AAAE,IAAE,UAAQ,WAAS,IAAE,GAAG,GAAE,OAAO;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,gBAAe,OAAO,CAAC,GAAE,IAAE,EAAE,GAAE,qBAAoB,cAAc,GAAE,IAAE,EAAEA,KAAE,WAAU,gBAAe,OAAO,GAAE,IAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,kBAAiB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,oBAAmB,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,GAAE,mBAAkB,EAAE,EAAE,SAAO,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,aAAa,GAAE,IAAE,EAAE,GAAE,UAAS,eAAc,EAAE,KAAK,GAAE,IAAE,EAAEA,KAAE,UAAS,eAAc,EAAE,KAAK,GAAE,IAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,gBAAe,EAAE,CAAC,GAAE,eAAc,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAuB,OAAO,GAAE,IAAE,EAAE,GAAE,UAAS,sBAAsB,GAAE,IAAE,EAAEA,KAAE,gBAAe,wBAAuB,EAAE,KAAK,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,wBAAuB,OAAO,CAAC,GAAE,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,GAAE,IAAE,EAAC,mBAAkB,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,CAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE;AAAK,MAAGA,OAAG,QAAMA,QAAI;AAAU,QAAE,IAAI,aAAa,CAAC;AAAA,WAAUA,QAAI;AAAQ,QAAE,IAAI,WAAW,CAAC;AAAA,WAAUA,QAAI;AAAO,QAAE,IAAI,WAAW,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,qBAAqBA,KAAG;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,IAAE,EAAE;AAAE,SAAO,EAAE,WAAW,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,sBAAqB,MAAI,IAAG,oBAAmB,MAAI,IAAG,eAAc,MAAI,IAAG,yBAAwB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,oBAAmB,MAAI,IAAG,qBAAoB,MAAI,IAAG,qBAAoB,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAY,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAOA,OAAG,SAAOA,MAAE,GAAG,IAAG,GAAG,GAAE,GAAE,CAAC,GAAE,MAAI,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,QAAQ,eAAe,MAAI,KAAG,KAAG;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE;AAAG,OAAI,GAAG,CAAC,KAAG,GAAG,CAAC,OAAK,IAAE,QAAI,GAAG,CAAC,KAAG,GAAG,CAAC,MAAI,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,YAAY,MAAK,IAAE,EAAE,YAAY;AAAK,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,yCAAyC,gBAAgB,GAAG;AAAA,EAAC;AAAC,MAAG,MAAM,QAAQ,CAAC,KAAG,MAAM,QAAQ,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,QAAG,CAAC,GAAG,GAAE,CAAC;AAAE,YAAM,IAAI,MAAM,0CAA0C,kBAAkB,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC;AAAE,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,yCAAyC,EAAE,uBAAuB,EAAE;AAAA,YAC77Y;AAAA,YACA,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,CAACA,IAAE,GAAE,CAAC;AAAE,YAAM,IAAI,MAAM,yBAAyB,QAAQ,eAAe,QAAQ;AAAA,YACvI;AAAA,YACA,IAAI;AAAA,EAAC;AAAC,SAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,KAAK,MAAI,EAAE,KAAK,GAAE,MAAI,EAAE,CAAC,GAAE,OAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,CAAC,CAAC,IAAE;AAAE,SAAO,GAAG,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,KAAG,GAAG,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,MAAI,KAAG,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,SAAOA,MAAE,GAAG,IAAG,CAAC,GAAG,GAAE,GAAEA,GAAC;AAAE,UAAM,IAAI,MAAM,8BAA8B,mBAAmB,GAAG;AAAE,SAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,CAAC,SAAS,CAAC,KAAG,CAAC,SAAS,CAAC,IAAE,OAAG,EAAE,MAAM,CAAC,KAAG,MAAM,CAAC,KAAG,KAAK,IAAI,IAAE,CAAC,IAAEA;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,CAAC,IAAE,KAAG,EAAE,CAAC,IAAEA;AAAE,YAAM,IAAI,MAAM,sBAAsB,EAAE,CAAC,UAAU,YAAYA,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,MAAGA,IAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,wCAAwC,EAAE,sBAAsBA,IAAE,QAAQ;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAGA,IAAE,CAAC,MAAI,EAAE,CAAC;AAAE,YAAM,IAAI,MAAM,iCAAiC,WAAW,EAAE,CAAC,aAAaA,IAAE,CAAC,WAAW;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAIA,MAAE,EAAE,CAAC;AAAE,UAAM,QAAQA,GAAC,IAAE,GAAGA,GAAC,IAAE,EAAE,CAAC,IAAE,GAAGA,GAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,SAAS,cAAc,OAAO;AAAE,SAAM,iBAAgB,MAAI,EAAE,cAAY,OAAI,EAAE,QAAM,MAAG,EAAE,OAAK,MAAG,EAAE,MAAM,WAAS,SAAQ,EAAE,MAAM,OAAK,OAAM,EAAE,MAAM,MAAI,OAAM,EAAE,UAAQ,QAAO,EAAE,YAAY,CAAC,GAAE,IAAI,QAAQ,CAAAA,QAAG;AAAC,MAAE,iBAAiB,cAAa,OAAGA,IAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,QAAM,EAAE,KAAK,GAAE,+BAA8B,KAAG,MAAM,IAAI,QAAQ,OAAG;AAAC,MAAE,0BAA0B,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,SAAOA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,KAAI,KAAK,YAAU,GAAE,KAAK,cAAY,KAAK,QAAM,KAAK,OAAK,KAAK,SAAO,GAAE,KAAK,QAAM,KAAK,OAAK,KAAK,SAAO;AAAG,QAAI,IAAE,KAAG,KAAK,OAAO;AAAE,SAAK,SAAO,GAAG,KAAK,EAAE,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAG,CAAC,MAAM,KAAK,OAAO,GAAE;AAAC,UAAI,IAAE,KAAK;AAAQ,aAAO,KAAK,UAAQ,KAAI;AAAA,IAAC;AAAC,QAAI,GAAEA,KAAE,IAAE;AAAG,WAAK,CAAC,KAAG;AAAC,UAAI,GAAE,GAAE;AAAE;AAAG,YAAE,IAAE,KAAK,OAAO,IAAE,GAAE,IAAE,IAAE,KAAK,OAAO,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAA,aAAQ,KAAG,KAAG,MAAI;AAAG,UAAI,IAAE,KAAK,KAAK,KAAG,KAAK,IAAI,CAAC,IAAE,CAAC;AAAE,UAAE,KAAK,OAAK,KAAK,SAAO,IAAE,GAAEA,MAAE,KAAK,OAAK,KAAK,SAAO,IAAE,IAAG,CAAC,KAAK,aAAW,KAAK,iBAAiB,CAAC,OAAK,IAAE;AAAA,IAAG;AAAC,YAAO,CAAC,KAAK,aAAW,KAAK,iBAAiBA,GAAC,OAAK,KAAK,UAAQ,KAAK,aAAaA,GAAC,IAAG,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,SAAO,QAAM,KAAK,UAAQ,YAAU,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,KAAG,KAAK,SAAO,KAAG,KAAK;AAAA,EAAK;AAAC;AAA3zB,IAA6zB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,OAAK,IAAEA,KAAE,KAAK,QAAM;AAAE,QAAI,IAAE,KAAG,KAAK,OAAO;AAAE,SAAK,QAAM,GAAG,KAAK,EAAE,SAAS,CAAC,GAAE,KAAK,QAAM,IAAI,GAAG,GAAE,GAAE,GAAE,OAAG,KAAK,MAAM,CAAC,GAAE,IAAE,IAAE,KAAK,IAAE,IAAE,IAAE,IAAE,KAAK,IAAE,IAAE,IAAE,GAAE,KAAK,IAAE,IAAE,KAAK,KAAK,IAAE,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAI,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAE,eAAO;AAAC;AAAG,YAAE,KAAK,MAAM,UAAU,GAAE,IAAE,IAAE,KAAK,IAAE;AAAA,aAAQ,KAAG;AAAG,UAAG,KAAG,IAAE,GAAE,IAAE,IAAE,GAAEA,MAAE,IAAE,QAAK,IAAE,GAAE,IAAE,MAAG,IAAE,KAAK,KAAG,IAAE,IAAE,KAAK,IAAI,CAAC,IAAG,IAAE,KAAK,MAAM,GAAE,IAAEA,OAAG,KAAK,IAAI,CAAC,IAAE;AAAE;AAAA,IAAK;AAAC,WAAO,IAAE,IAAE,KAAK,OAAK,KAAK,IAAE,GAAE,KAAK,QAAM,MAAI,KAAG,KAAK,IAAI,KAAK,MAAM,GAAE,IAAE,KAAK,KAAK,IAAG,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,UAAQ,YAAU,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAC;AAAr4C,IAAu4C,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,QAAG,KAAK,iBAAe,MAAI,KAAK,SAAO,QAAM,KAAK,UAAQ,WAAU,KAAK,MAAI,GAAE,KAAK,QAAMA,MAAE,GAAE,KAAK,QAAM,GAAE,KAAG,SAAO,IAAE,KAAK,OAAO,IAAG,OAAO,KAAG,aAAW,IAAE,EAAE,SAAS,IAAG,CAAC,KAAK,eAAe,KAAG,KAAK,SAAO;AAAE,YAAM,IAAI,MAAM,0BAA0B,OAAOA,iCAA+B;AAAE,SAAK,SAAO,GAAG,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,eAAe,IAAE,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAO,KAAK,aAAa,KAAK,MAAI,KAAK,QAAM,KAAK,OAAO,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,WAAU,GAAE;AAAC,MAAG,GAAG,CAAC,GAAEA,OAAG,SAAOA,MAAE,IAAG,KAAG,SAAO,IAAE,YAAW,MAAI,aAAW,MAAI;AAAQ,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,OAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,IAAE,WAAU,GAAE;AAAC,KAAG,CAAC;AAAE,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAEA,KAAE,MAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,WAAU;AAAC,MAAGA,QAAI;AAAE,UAAM,IAAI,MAAM,4BAA4B;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAKA,KAAE,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,OAAM,EAAE,GAAE,SAAQ,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,YAAY,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAS,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,mBAAkB,iBAAiB,GAAE,IAAE,EAAEA,KAAE,mBAAkB,iBAAiB,GAAE,IAAE,GAAE,IAAE;AAAG,MAAG,EAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,MAAI;AAAO,UAAM,IAAI,MAAM,oFAAoF;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,2EAA2E,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,2EAA2E,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,yFAAyF,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,yFAAyF,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,MAAM,CAAC,MAAI,IAAE,GAAE,MAAI,6EAA6E,IAAE,cAAc,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,SAAQ,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,IAAEA,IAAE,UAAQ,EAAE,OAAM,MAAI,kDAAkDA,IAAE,iBAAiB,EAAE,SAAS,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,qCAAqCA,IAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,qCAAqC,EAAE,SAAS;AAAE,MAAI,IAAE,MAAMA,IAAE,KAAK,GAAE,IAAE,MAAM,EAAE,KAAK,GAAE,IAAE,IAAI,IAAI,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAI,EAAE,CAAC,CAAC,KAAG;AAAI,MAAI,IAAE,IAAI,GAAG,CAAC,CAAC,GAAEA,IAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,CAAC,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAI,EAAE,CAAC,CAAC,MAAI,EAAE,OAAO,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,OAAO,CAAC,IAAE,GAAE;AAAK,SAAM,CAAC,EAAE,SAAS,GAAE,EAAE,SAAS,CAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,CAACA,GAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,IAAG;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,WAAU,SAAS;AAAE,MAAG,MAAI,OAAK,IAAEA,IAAE,OAAK,IAAG,MAAIA,IAAE,OAAK;AAAE,UAAM,MAAM,4EAA4EA,IAAE,oBAAoB,GAAG;AAAE,MAAI,IAAE,EAAC,QAAOA,IAAC,GAAE,IAAE,EAAC,KAAI,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,UAAQ,aAAY,MAAI,6DAA6D,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,UAAQ,aAAY,MAAI,8DAA8D,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAEA,MAAE,EAAE,OAAK,GAAE;AAAE,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,CAACA,KAAE,CAAC,CAAC;AAAE,QAAE,GAAG,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,CAACA,KAAE,KAAG,IAAE,EAAE,GAAE,IAAE,EAAE,GAAG,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,EAAE,GAAG,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,QAAE,GAAG,CAAC;AAAA,EAAC;AAAC,MAAG,IAAE,GAAG,CAAC,GAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,QAAI,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,QAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC,GAAE,IAAE,EAAC,iBAAgB,GAAE,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,WAAU,MAAI,mDAAmD,EAAE,OAAO;AAAE,MAAIA,MAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,OAAKA,KAAE;AAAE,MAAG,KAAG,QAAM,IAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC,GAAE,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC;AAAE,MAAE,EAAE,MAAM,SAAO,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,MAAE;AAAA,EAAC,WAAS,KAAG,QAAM,IAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC;AAAE,MAAE,EAAE,MAAM,SAAO,CAAC,IAAE,IAAEA,KAAE,IAAE,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAEA,MAAE;AAAA,EAAC;AAAM,QAAE;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAEA,GAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,KAAK,MAAMA,MAAE,CAAC,IAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,EAAE,MAAM,SAAO,CAAC,IAAE,GAAE,EAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC,GAAE,IAAE,CAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,SAAO,EAAEA,KAAE,GAAGA,IAAE,OAAM,CAAC,EAAE,QAAQ;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,WAAU,SAAQ,mBAAmB;AAAE,IAAEA,IAAE,UAAQ,GAAE,MAAI,sCAAsC,GAAEA,IAAE,SAAO,KAAG,EAAE,KAAGA,IAAE,CAAC,EAAE,MAAK,MAAI,oCAAoC;AAAE,MAAI,IAAEA,KAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,KAAIA,KAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,CAAC;AAAE,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,SAAO,GAAG,GAAE,MAAKA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,8EAA8E;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,iDAAiD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,kEAAkE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gDAAgD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,oEAAoE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gDAAgD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,sEAAsE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,wEAAwE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,IAAE,KAAG,GAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,6CAA6C,GAAG;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,uDAAuD,cAAc,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAOA,IAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,MAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,UAAS,mBAAmB;AAAE,IAAEA,IAAE,OAAK,GAAE,MAAI,sCAAsC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,oBAAoB,GAAE,IAAE,EAAE,GAAE,cAAa,sBAAqB,OAAO;AAAE,IAAE,GAAGA,GAAC,GAAE,MAAI,kCAAkC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,YAAW,EAAC,GAAE,IAAE,EAAC,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qBAAoB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,IAAE,KAAG,CAACA,IAAE,MAAM,UAAQ,IAAEA,IAAE,MAAM,QAAO,MAAI,UAAU,iBAAiBA,IAAE,MAAM,WAAWA,IAAE,MAAM,SAAS;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,MAAGA,KAAE,GAAE;AAAC,SAAO,EAAE,aAAa,GAAE,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,KAAGA,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,GAAE,OAAO,GAAE,IAAE,GAAG,CAACA,IAAE,QAAO,EAAE,MAAM,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,WAAWA,IAAE,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE;AAAO,MAAE,OAAO,IAAI,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,SAAS;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,aAAY,cAAa,MAAM,GAAEA,MAAE,MAAM,EAAE,KAAK,GAAE,IAAE,GAAG,EAAE,OAAMA,GAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG;AAAG,eAAe,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,UAAU,GAAE,IAAE,EAAE,GAAE,QAAO,YAAW,MAAM,GAAE,IAAEA,OAAG,OAAK,IAAEA,KAAE,IAAE,EAAE,MAAK,IAAE,EAAE;AAAM,IAAE,IAAE,GAAE,MAAI,uBAAuB,GAAE,GAAG,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,EAAE,OAAM,mEAAmE;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE;AAAI,SAAG,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,CAAC,EAAE,OAAO,CAAC,CAAC,GAAE,EAAE,MAAM,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAM,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,MAAG,KAAG,SAAO,IAAE,EAAE,MAAM,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,QAAQ,IAAG,EAAE,EAAE,SAAO,EAAE,QAAO,MAAI,qCAAqC,EAAE,kCAAkC,IAAI,GAAE,EAAE,QAAQ,OAAG;AAAC,MAAE,KAAG,KAAG,IAAE,EAAE,MAAK,MAAI,+CAA+C,EAAE,OAAK,aAAa,GAAG;AAAA,EAAC,CAAC,GAAE,EAAE,QAAM;AAAE,WAAO,EAAE,MAAM;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAQ,cAAY,GAAG,MAAI;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,WAAO,IAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,GAAE,CAAC,GAAEA,QAAI,IAAE,GAAG,CAAC,IAAG,GAAG,GAAE,CAAC;AAAA,EAAC,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAEA,KAAE,SAAQ,eAAe;AAAE,KAAG,GAAE,CAAC,GAAE,EAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,MAAI,2BAA2B;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,MAAE,KAAG,MAAK,MAAI,gDAAgD;AAAE,QAAI,IAAE,EAAE,GAAE,QAAO,eAAe;AAAE,QAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,GAAE,IAAE,EAAE,OAAK,IAAE,EAAE,OAAK,IAAE,GAAE,IAAE,6FAA6FA,IAAE,yBAAyB,EAAE,iBAAiB,gBAAgB,oBAAoB;AAAK,MAAGA,IAAE,OAAK;AAAE,UAAM,IAAI,MAAM,IAAE,kBAAkB,KAAK;AAAE,MAAG,EAAE,SAAO,KAAGA,IAAE,OAAK;AAAG,UAAM,IAAI,MAAM,IAAE,0BAA0B,KAAGA,IAAE,OAAK,IAAI;AAAE,MAAGA,IAAE,SAAO,IAAE,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,IAAE,mBAAmB,IAAE,EAAE,SAAO,GAAG;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAGA,IAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,IAAE,kBAAkB,OAAOA,IAAE,MAAM,CAAC,uBAAuB,OAAO,EAAE,MAAM,CAAC,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,OAAK,GAAE,EAAE;AAAE,QAAGA,IAAE,MAAM,IAAE,CAAC,MAAI,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,IAAE,kBAAkB,IAAE,OAAOA,IAAE,MAAM,IAAE,CAAC,eAAe,IAAE,OAAO,EAAE,IAAE,CAAC,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO;AAAE,MAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,6DAA6DA,KAAG;AAAE,MAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,QAAG,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAA,EAAC;AAAC,KAAGA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,QAAO,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,SAAGA,IAAE,CAAC;AAAE,MAAI,IAAE,IAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAE,KAAK,IAAE,GAAE,IAAE,CAAC,GAAG,GAAGA,IAAE,MAAM,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAGA,GAAC;AAAE,SAAM,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAGA,GAAC;AAAE,MAAI,IAAE,EAAE,GAAE,WAAU,aAAY,OAAO,GAAE,IAAE,EAAE,GAAE,WAAU,WAAW;AAAE,KAAG,GAAE,GAAEA,GAAC;AAAE,MAAI,IAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,8EAA8E,EAAE,QAAQ;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,sEAAsE,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE;AAAE,MAAGA,IAAE,WAAS;AAAE,UAAM,IAAI,MAAM,kDAAkDA,IAAE,sBAAsB,IAAI;AAAE,MAAI,IAAE,EAAE;AAAK,MAAG,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2B,IAAI;AAAE,MAAG,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,mDAAmD;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE;AAAC,KAAGA,GAAC;AAAE,MAAI,IAAE,EAAE,GAAE,iBAAgB,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,gBAAe,iBAAgB,mBAAmB,GAAE,IAAE,EAAE,GAAE,gBAAe,iBAAgB,EAAE,KAAK;AAAE,KAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,GAAE,IAAE,EAAC,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,WAAU,YAAW,OAAO,GAAE,IAAE,EAAC,QAAO,EAAE,GAAE,KAAI,YAAW,mBAAmB,GAAE,SAAQA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG;AAAK,WAAO,EAAE,MAAM,MAAM;AAAE,MAAG,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO;AAAE,MAAG,EAAE,MAAM,WAAS,EAAE,QAAO;AAAC,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO;AAAI,QAAE,CAAC,KAAG,QAAM,EAAE,MAAM,CAAC,KAAG,OAAKA,IAAE,KAAK,EAAE,MAAM,CAAC,CAAC,IAAEA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,MAAG,EAAE,EAAE,UAAQ,WAAU,MAAI,gFAAgF,EAAE,uBAAuB,GAAE,EAAE,KAAG,KAAG,IAAE,GAAE,MAAI,qDAAqD,IAAI,GAAE,MAAI;AAAE,WAAO,aAAa,KAAG,EAAE,MAAM,IAAE;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,GAAE,GAAE,GAAE,WAAU,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,KAAK,MAAM,KAAK,IAAI,GAAE,KAAK,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAE,IAAE,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,KAAK,KAAG,KAAG,IAAE,IAAE;AAAG,MAAE,CAAC,IAAE,IAAEA,MAAE,KAAK,IAAI,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,SAAS;AAAC;AAAC,eAAe,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,eAAc,QAAQ,GAAE,IAAE,EAAE,GAAE,WAAU,QAAQ;AAAE,IAAE,EAAE,OAAK,GAAE,MAAI,uEAAuE,EAAE,MAAM,GAAE,EAAE,EAAE,OAAK,MAAI,EAAE,MAAK,MAAI,mFAAmF,EAAE,yBAAyB,EAAE,MAAM,GAAE,GAAG,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,EAAE,OAAM,yFAAyF;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC;AAAE,IAAEA,MAAE,KAAGA,OAAG,GAAE,MAAI,4EAA4E,eAAeA,KAAG;AAAE,MAAI,IAAE,MAAM,EAAE,KAAK,GAAE,IAAE,MAAM,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,EAAE,SAAO,GAAE,CAAC,GAAE,IAAE,GAAG,QAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,KAAK,EAAC,OAAM,EAAE,CAAC,GAAE,OAAM,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,MAAI,EAAE,QAAM,EAAE,KAAK,GAAE,EAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,UAAG,EAAE,CAAC,EAAE,UAAQ,EAAE,CAAC,GAAE;AAAC,UAAE,CAAC,IAAE;AAAE;AAAA,MAAK;AAAA,EAAC;AAAC,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,GAAG,GAAE,EAAE,OAAM,MAAM;AAAC;AAAC,IAAI,KAAG;AAAG,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,QAAO,GAAE;AAAC,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,iEAAiE,EAAE,QAAQ,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,8DAA8D,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,GAAE,MAAI,mEAAmEA,MAAI;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAIA,IAAE,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,CAAC,GAAE,MAAI,0CAA0C,0CAA0CA,IAAE,CAAC,KAAK,GAAE,GAAG,mBAAkB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,IAAG,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,QAAMA,QAAI;AAAS,WAAO;AAAE,MAAGA,QAAI;AAAO,WAAO,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,gDAAgDA,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,EAAE,SAAO,MAAIA,MAAE,GAAGA,KAAE,CAAC,IAAG,EAAEA,KAAE,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI;AAAS,WAAO;AAAE,MAAG,MAAI;AAAO,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAM,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI;AAAY,WAAO,GAAG,GAAE,CAAC;AAAE,MAAG,MAAI;AAAU,WAAO,GAAG,CAAC;AAAE,QAAM,IAAI,MAAM,4BAA4B,IAAI;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI,EAAE,IAAE,MAAI,MAAI;AAAS,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,SAAQA,KAAE,KAAI,GAAE,YAAW,IAAE,QAAO,WAAU,IAAE,CAAC,GAAE,CAAC,GAAE,iBAAgB,GAAE,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,EAAC,GAAE;AAAC,MAAG,IAAE,KAAG,UAAS,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,MAAE,MAAI,QAAO,MAAI,4CAA4C,8GAA8G;AAAE,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,UAAS,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,8DAA8D,EAAE,OAAO,GAAE,GAAG,gBAAe,GAAE,CAAC;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oCAAoC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,EAAE,OAAMA,KAAE,GAAE,GAAE,CAAC,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,MAAI,SAAO,GAAG,EAAE,UAAS,EAAE,KAAK,KAAG,EAAE,EAAE,MAAM,UAAQ,GAAE,MAAI,2GAA2G,EAAE,MAAM,SAAS,GAAE,EAAE,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,EAAE,eAAa,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,sCAAsC,EAAE,gEAAgE,EAAE,cAAc;AAAI,MAAI;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE;AAAM,QAAG,EAAE,EAAE,UAAQ,KAAG,EAAE,WAAS,GAAE,MAAI,2HAA2H,EAAE,SAAS,GAAE,EAAE,WAAS;AAAE,QAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,EAAE,aAAY,MAAI,oDAAoD,4DAA4D,EAAE,eAAe;AAAA,aAAU,EAAE,WAAS;AAAE,UAAG;AAAC,WAAG,GAAE,EAAE,QAAQ;AAAA,MAAC,SAAO,GAAN;AAAS,YAAI,IAAE,oDAAoD,6DAA6D,EAAE;AAAa,cAAM,MAAM,CAAC;AAAA,MAAC;AAAC,QAAE,EAAE,GAAE,iBAAgB,cAAc;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,MAAE,MAAI,QAAO,MAAI,wDAAwD,yCAAyC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,GAAG,CAAC,GAAE,MAAI,uHAAuH,IAAI;AAAE,QAAI,IAAE,GAAG,EAAE,OAAM,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAMA,KAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,KAAK,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,GAAE,GAAE,IAAG,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,WAAU,GAAE,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sCAAqC,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,WAAU,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qCAAoC,GAAE,CAAC;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,SAAQA,KAAE,KAAI,GAAE,YAAW,IAAE,QAAO,WAAU,IAAE,CAAC,GAAE,CAAC,GAAE,iBAAgB,GAAE,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,EAAC,GAAE;AAAC,MAAG,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,mBAAkB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAkB,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,uEAAuE,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,6DAA6D,EAAE,MAAM,CAAC,oDAAoD,EAAE,MAAM,CAAC,IAAI,GAAE,KAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,sFAAsFA,sBAAoB,IAAI,GAAE,GAAG,yBAAwB,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,EAAE,OAAMA,KAAE,GAAE,GAAE,GAAE,IAAE,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAG,EAAE,UAAS,EAAE,KAAK;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,iBAAgB,uBAAuB;AAAG,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,MAAE,GAAG,CAAC,GAAE,MAAI,mHAAmH,IAAI;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,OAAM,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAMA,KAAE,GAAE,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,MAAE,OAAG,YAAW,IAAE,OAAG,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,IAAE,IAAE,GAAE;AAAC,MAAG,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,cAAc,GAAE,IAAE,EAAE,GAAE,KAAI,cAAc;AAAE,GAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAI,IAAEA,MAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,IAAE,MAAI,GAAE,MAAI,wCAAwC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAE,GAAG,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC,GAAE,IAAEA,MAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,EAAE,KAAK;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,iBAAgB,cAAc;AAAG,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,GAAE,EAAE,KAAK,GAAE,GAAE,CAAC,GAAE,GAAE;AAAE,QAAG,CAACA,OAAG,CAAC,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,KAAE,KAAG,CAACA,OAAG,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,KAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,KAAE,KAAGA,OAAG,CAAC,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,OAAG,KAAE,MAAI,IAAE,GAAG,GAAE,GAAE,MAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,IAAE,IAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAM,aAAM,CAAC,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,YAAWA,KAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,EAAC,OAAM,EAAE,GAAE,CAAC,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,EAAC,OAAM,EAAE,GAAE,CAAC,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,IAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,KAAG,GAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG,IAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,CAAC;AAAE,SAAK,IAAE,KAAG,EAAE;AAAM,MAAE,KAAK,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,KAAGA;AAAE,MAAG;AAAE,WAAK,IAAE,EAAE,QAAM;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,MAAK,IAAE,GAAG,CAAC,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE,GAAG,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,KAAGA;AAAA,IAAC;AAAC,SAAO,EAAE,WAAS,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,IAAE,EAAE,GAAG,CAAC,GAAE,CAAC,EAAE,QAAO,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,OAAG,SAAO,IAAE,GAAG,CAAC;AAAG,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,YAAW,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,eAAe,GAAE,IAAE,EAAE,GAAE,SAAQ,iBAAgB,SAAS,GAAE,IAAE,EAAEA,KAAE,UAAS,iBAAgB,OAAO,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oDAAoD,sBAAsB,EAAE,QAAQ,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,qDAAqD,oBAAoB,EAAE,QAAQ,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,wEAAwE,EAAE,SAAS,GAAE,EAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,GAAE,MAAI,2CAA2C,GAAG,GAAE,EAAE,MAAI,cAAY,MAAI,WAAU,MAAI,+CAA+C,GAAG;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,QAAO,GAAE,oBAAmB,GAAE,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,iBAAgB,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO;AAAE,MAAIA,MAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,KAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,gBAAgB,GAAEA,MAAE,EAAE,OAAK,GAAE,IAAE,EAAE,MAAMA,GAAC;AAAE,IAAE,EAAE,QAAM,GAAE,MAAI,yEAAyE,EAAE,OAAO,GAAE,EAAE,MAAI,GAAE,MAAI,+FAA+F,IAAI;AAAE,MAAI,IAAE,IAAI,MAAM,EAAE,IAAI;AAAE,SAAO,EAAE,KAAK,GAAE,GAAEA,GAAC,GAAE,EAAEA,GAAC,IAAE,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,oBAAmB,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,WAAUA,KAAE,QAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,MAAI,KAAG,SAAO,IAAE,OAAO,oBAAmB,KAAG,SAAO,IAAE;AAAG,MAAI,IAAE,EAAE,MAAM,CAAC;AAAE,SAAOA,MAAE,KAAK,IAAIA,KAAE,CAAC,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,4CAA4C,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,+CAA+C,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oDAAoD,EAAE,MAAM,CAAC,GAAG,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4BAA4B,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,sDAAsD,cAAc,EAAE,MAAM,CAAC,GAAG,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,4CAA4C,IAAI,GAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,qBAAoB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAoB,SAAS,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE;AAAe,MAAI,IAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAE,IAAE,EAAE,IAAE,KAAG;AAAE,IAAE,OAAO,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,OAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE,IAAE,IAAE,IAAE,IAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,QAAO,IAAE,GAAE,IAAE;AAAG,SAAK,IAAE,KAAG;AAAC,QAAE,KAAG,IAAE,MAAI;AAAG,QAAI,IAAEA,IAAE,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE,IAAE,IAAE,KAAG,IAAE,GAAE,IAAE,CAAC;AAAA,EAAE;AAAC,SAAO,IAAE,IAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,OAAG,GAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,KAAG,EAAE,KAAK,EAAC,OAAM,EAAE,CAAC,GAAE,UAAS,GAAE,oBAAmB,EAAC,CAAC;AAAE,IAAE,KAAK,EAAE;AAAE,MAAI,IAAE,IAAE,IAAE,OAAI,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,SAAK,EAAE,SAAOA,OAAG,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI,GAAE,EAAC,OAAM,GAAE,UAAS,GAAE,oBAAmB,EAAC,IAAE;AAAE,QAAG,IAAE;AAAE;AAAM,QAAI,IAAE;AAAG,aAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,CAAC;AAAE,UAAG,KAAG,GAAE;AAAC,YAAE;AAAG;AAAA,MAAK;AAAC,UAAG,EAAE,QAAM,EAAE,QAAM,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,SAAO;AAAE;AAAA,IAAK;AAAC,MAAE,qBAAmB,EAAE,QAAO,MAAI,EAAE,UAAQ,KAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,EAAE,KAAK,KAAG,EAAE,QAAM,KAAG,GAAG,GAAE,GAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAEA,MAAE;AAAE,OAAG,IAAE,MAAI,EAAE,KAAK,GAAG,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,CAAC,GAAE,EAAE,KAAK,GAAG,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,iBAAgB,EAAC;AAAE,SAAO,MAAI,EAAE,iBAAe,IAAG,MAAI,EAAE,eAAa,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAS,IAAE,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,SAASA,MAAE,GAAEA,MAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAG,IAAE,MAAI,IAAE,IAAG,KAAG,IAAE,MAAI,IAAE;AAAG,MAAG,KAAG,KAAG,KAAG;AAAE,WAAO;AAAE,MAAI,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC;AAAE,SAAO,KAAG,IAAE,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,KAAK,IAAI,IAAEA,MAAEA,GAAC;AAAE,SAAOA,OAAG,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,QAAM,EAAE,SAAO,EAAE,UAAQ,EAAE,SAAO,EAAE,WAAS,EAAE;AAAQ;AAAC,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE;AAAe,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,GAAG,GAAE,OAAO;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAmB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAa,MAAI,IAAE,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,iBAAgB,EAAE,CAAC,GAAE,gBAAe,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,6BAA4B,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAa,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAC,iBAAgB,GAAG,GAAE,OAAO,GAAE,gBAAe,GAAG,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAmB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAI,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,iBAAgB,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,0BAAyB,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAI,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,CAAC,GAAE,CAAC,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAC,iBAAgB,GAAG,GAAE,OAAO,GAAE,cAAa,GAAG,GAAE,OAAO,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,gBAAgB;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,6DAA6D,IAAI,GAAE,EAAE,MAAI,SAAIA,QAAI,OAAG,MAAI,mFAAmF;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAG,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,cAAaA,KAAE,kBAAiB,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,uBAAuB;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,uEAAuE,EAAE,OAAO,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,oEAAoE,IAAI,GAAE,EAAE,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,kDAAkD,GAAE,EAAE,MAAI,SAAIA,QAAI,OAAG,MAAI,0FAA0F;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAG,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,cAAaA,KAAE,kBAAiB,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,wBAAuB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,UAASA,MAAE,OAAG,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,WAAW,GAAE,IAAE,QAAM,IAAE,OAAK,IAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,CAAC,CAAC,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE;AAAE,MAAG,EAAE,EAAE,SAAO,GAAE,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,0EAA0E,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,EAAE,UAAQ,WAAS,EAAE,UAAQ,WAAU,MAAI,sEAAsE,EAAE,QAAQ,GAAE,EAAE,MAAI,UAAQ,MAAI,UAAS,MAAI,0CAA0C,GAAG,GAAE,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,KAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAM,QAAE;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAE,GAAG,GAAG,GAAG,CAAC,GAAE,OAAO,GAAE,GAAG,CAAC,CAAC,GAAE,GAAG;AAAE,QAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,MAAE,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAG,GAAE,GAAG,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAK,GAAE,KAAI;AAAC,QAAE,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAG,GAAE,GAAG,GAAE,EAAE,IAAI,CAAC,CAAC;AAAE,QAAE,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE,GAAG,GAAG,GAAE,EAAE,IAAI,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,MAAE,GAAG,GAAE,GAAG,CAAC,CAAC,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,WAAU,IAAE,YAAW,IAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,aAAY,SAAS,GAAE,IAAE,EAAE,GAAE,cAAa,aAAY,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,MAAI,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,KAAG,EAAE,MAAM,CAAC,MAAI,MAAI,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,kEAAkE,GAAE,EAAE,KAAG,QAAM,EAAE,WAAS,GAAE,MAAI,4EAA4E,IAAI;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,YAAW,EAAC,GAAE,IAAE,EAAC,eAAcA,KAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,IAAE,MAAI,GAAE,MAAI,gDAAgD,IAAI,GAAE,EAAEA,MAAE,MAAI,GAAE,MAAI,gDAAgDA,MAAI;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,UAAU;AAAE,IAAE,EAAE,QAAM,GAAE,MAAI,4CAA4C,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,MAAM,EAAE;AAAE,MAAG,EAAE,KAAG;AAAG,UAAM,IAAI,MAAM,yBAAyB,mDAAmD,KAAK;AAAE,MAAG,EAAEA,OAAG;AAAG,UAAM,IAAI,MAAM,yBAAyBA,wDAAsD,KAAK;AAAE,MAAE,MAAI,IAAE,IAAGA,MAAE,MAAIA,MAAE;AAAG,MAAI,IAAE,EAAE,GAAG,GAAE,GAAE,GAAE,OAAO,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,OAAO,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,GAAG,CAAC,GAAE,OAAO,CAAC,GAAE,GAAG,GAAE,GAAG,CAACA,KAAE,OAAO,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAO,EAAE,GAAG,GAAG,EAAE,GAAE,CAAC,IAAG,GAAE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI;AAAE,MAAG,MAAM,QAAQ,CAAC,GAAE;AAAC,QAAE,OAAG,EAAE,KAAG,QAAM,EAAE,SAAO,GAAE,MAAI,mEAAmE;AAAE,QAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,iEAAiE,EAAE,CAAC,EAAE,MAAM,CAAC,SAAS,IAAI;AAAA,EAAC;AAAM,QAAE,MAAG,IAAE,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC,EAAE,IAAI,OAAG,GAAG,GAAE,CAAC,CAAC,CAAC,CAAC;AAAE,IAAE,EAAE,UAAQ,EAAE,CAAC,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,yCAAyC,EAAE,CAAC,EAAE,MAAM,CAAC,KAAK;AAAE,MAAIA,MAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,KAAK,EAAE,KAAK,MAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,GAAG,GAAG,GAAGA,IAAE,CAAC,GAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,cAAE,GAAG,GAAE,CAAC;AAAA,QAAC;AAAC,aAAO,GAAG,GAAE,GAAG,GAAE,WAAW,CAAC;AAAA,IAAC,CAAC,CAAC;AAAE,SAAO,IAAE,GAAGA,KAAE,CAAC,IAAEA;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAG,EAAE,EAAE,QAAM,GAAE,MAAI,gEAAgE,EAAE,MAAM,GAAE,EAAE,SAAO;AAAE,WAAO,GAAG,GAAE,CAAC;AAAE;AAAC,QAAIA,MAAE,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,SAAO,CAAC,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAE,GAAE,CAACA,KAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,SAAO,EAAE,KAAK,MAAI;AAAC,MAAE,EAAE,MAAM,WAAS,GAAE,MAAI,0CAA0C,EAAE,MAAM,iBAAiB;AAAE,QAAIA,MAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAGA,GAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAEA,OAAG,IAAE,IAAEA;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,OAAC,GAAE,GAAE,CAAC,IAAE,EAAE,KAAK,MAAI;AAAC,YAAI,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,MAAE,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,GAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,MAAM,CAAC,MAAI,IAAE,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,GAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,GAAE,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,MAAE,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,YAAG,MAAI;AAAE,cAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,cAAE,GAAG,CAAC,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,QAAC;AAAC,YAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,EAAE,MAAM,CAAC,IAAE,CAAC,CAAC;AAAE,YAAG,MAAI;AAAE,cAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,cAAE,GAAG,CAAC,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,QAAC;AAAC,eAAM,CAAC,GAAE,GAAE,CAAC;AAAA,MAAC,CAAC,GAAE,GAAG,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,KAAGA,MAAE,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,IAAG,CAAC,GAAE,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,KAAI,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,yBAAuB,CAAC,IAAE;AAAwB,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,GAAE,WAAU,qBAAqB;AAAG,MAAI,IAAE,KAAG,OAAK,IAAE,GAAG,GAAE,CAAC;AAAE,MAAGA,QAAI,GAAG;AAAK,WAAO;AAAE,MAAGA,QAAI,GAAG;AAAI,WAAO,GAAG,CAAC;AAAE,MAAGA,QAAI,GAAG,MAAK;AAAC,QAAG,KAAG;AAAK,aAAO,GAAG,CAAC;AAAE;AAAC,UAAI,IAAE,EAAE,OAAK,EAAE,MAAK,IAAE,GAAG,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC;AAAE,aAAO,IAAE,IAAE,GAAG,GAAE,GAAG,CAAC,CAAC,IAAE;AAAA,IAAC;AAAA,EAAC;AAAC,MAAGA,QAAI,GAAG,wBAAuB;AAAC,QAAG,KAAG;AAAK,aAAO,GAAG,GAAG,CAAC,GAAE,GAAG,EAAE,IAAI,CAAC;AAAE;AAAC,UAAI,IAAE,GAAG,GAAE,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,CAAC,CAAC,CAAC,GAAE,SAAS;AAAE,aAAO,GAAG,GAAG,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,QAAM,MAAM,sBAAsBA,KAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,oBAAoB,GAAE,IAAE,EAAE,GAAE,eAAc,oBAAoB,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,oBAAoB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,+BAA+B;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qBAAoB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,gBAAgB,GAAE,IAAE,EAAE,GAAE,eAAc,gBAAgB,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,GAAE,WAAU,gBAAgB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,2BAA2B;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAEA,KAAE,IAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,WAAW,GAAE,IAAE,EAAE,GAAE,eAAc,WAAW,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,WAAW,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,sBAAsB;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,MAAE,GAAG,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,WAAW,GAAE,IAAE,EAAE,GAAE,eAAc,WAAW,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,WAAW,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,sBAAsB;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,GAAE,GAAG,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,eAAc,SAAS,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,SAAS,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,oBAAoB;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,kBAAkB,GAAE,IAAE,EAAE,GAAE,eAAc,kBAAkB,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,kBAAkB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,6BAA6B;AAAE,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,+BAA+B,GAAE,IAAE,EAAE,GAAE,UAAS,+BAA+B;AAAE,KAAGA,IAAE,OAAM,EAAE,OAAM,0CAA0C;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC;AAAE,SAAO,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,oBAAmB,qBAAqB,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,MAAGA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,qBAAqB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,gCAAgC,GAAE,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE;AAAE,QAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,MAAGA,QAAI,OAAKA,MAAE,EAAE,OAAK,IAAGA,QAAI,EAAE,OAAK;AAAE,UAAM,MAAM,mGAAmG,EAAE,oBAAoBA,KAAG;AAAE,SAAO,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,GAAE,CAACA,GAAC,GAAE,IAAE,GAAE,IAAE,GAAG,GAAG,GAAE,SAAS,GAAE,CAAC;AAAE,MAAE,CAAC,GAAE,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC;AAAE,WAAM,EAAC,OAAM,GAAG,GAAE,CAACA,GAAC,CAAC,GAAE,UAAS,CAAC,GAAE,MAAI;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,CAACA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAG,EAAE,GAAE,CAAC,GAAE,GAAG,GAAG,GAAE,SAAS,GAAE,GAAG,CAAC,CAAC,CAAC,GAAE,GAAG,EAAE,GAAE,CAAC,GAAE,GAAG,GAAG,CAAC,GAAE,GAAG,GAAE,SAAS,CAAC,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,gBAAe,qBAAqB,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,MAAGA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,qBAAqB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,gCAAgC,GAAE,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,MAAM,CAAC,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,WAAU,uBAAsB,OAAO,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE,EAAEA,KAAE,cAAa,uBAAsB,OAAO,GAAE,IAAE,EAAE,GAAE,gBAAe,uBAAsB,EAAE,KAAK;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,UAC3v8C,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,uDAAuD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,eAAc,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,GAAE,mBAAkB,EAAE,CAAC,GAAE,iBAAgB,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,gBAAe,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,cAAa,iBAAgB,OAAO,GAAE,IAAE,EAAEA,KAAE,YAAW,iBAAgB,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,UACnqB,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,eAAc,EAAE,CAAC,GAAE,aAAY,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,mBAAmB,GAAE,IAAE,EAAE,GAAE,WAAU,qBAAoB,OAAO,GAAE,IAAE,EAAEA,KAAE,cAAa,qBAAoB,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,YAC7lB,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,kBAAkB,GAAE,IAAE,EAAE,GAAE,WAAU,oBAAmB,OAAO,GAAE,IAAE,EAAEA,KAAE,cAAa,oBAAmB,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,WACvX,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,gBAAe,QAAQ;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,iCAAiC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,GAAE,cAAa,cAAc;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,uCAAuC;AAAE,MAAI,IAAE,EAAC,WAAUA,KAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,eAAc,QAAQ,GAAE,IAAE,EAAE,GAAE,aAAY,eAAc,QAAQ;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,+CAA+C,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,WAAUA,IAAC,GAAE,IAAE,EAAC,OAAM,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,SAAQ,EAAE,CAAC,GAAE,QAAO,EAAE,CAAC,GAAE,OAAM,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,SAAQ,0BAAyB,QAAQ,GAAE,IAAE,EAAC,YAAW,EAAC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,yBAAwB,GAAE,CAAC;AAAE,IAAI,KAAG,EAAC,KAAI,IAAG,MAAK,IAAG,MAAK,IAAG,OAAM,GAAE;AAAvC,IAAyC,KAAG,EAAC,eAAc,IAAG,YAAW,IAAG,OAAM,IAAG,MAAK,GAAE;AAA5F,IAA8F,KAAG,EAAC,eAAc,IAAG,gBAAe,IAAG,uBAAsB,IAAG,gBAAe,IAAG,kBAAiB,IAAG,eAAc,IAAG,mBAAkB,IAAG,wBAAuB,IAAG,4BAA2B,IAAG,iCAAgC,IAAG,yBAAwB,IAAG,8BAA6B,IAAG,WAAU,IAAG,WAAU,GAAE;AAAzZ,IAA2Z,KAAG,EAAC,UAAS,IAAG,aAAY,IAAG,IAAG,GAAE;AAA/b,IAAic,KAAG,EAAC,oBAAmB,IAAG,qBAAoB,IAAG,gBAAe,IAAG,WAAU,IAAG,WAAU,IAAG,SAAQ,IAAG,kBAAiB,IAAG,qBAAoB,IAAG,qBAAoB,GAAE;AAA1mB,IAA4mB,KAAG,EAAC,qBAAoB,IAAG,eAAc,IAAG,mBAAkB,IAAG,kBAAiB,GAAE;AAAhsB,IAAksB,KAAG,EAAC,cAAa,IAAG,aAAY,IAAG,wBAAuB,GAAE;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,eAAc,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,eAAc;AAAC,WAAO,KAAK,YAAY;AAAA,EAAS;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,GAAC;AAAA,EAAC;AAAC;AAArG,IAAuG,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,eAAa,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAQ;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,SAAS,GAAE;AAAC,OAAG,OAAO,EAAE,aAAa,EAAE,SAAS,IAAE,CAAC,GAAE,EAAE,UAAU;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,aAAW,MAAK,MAAI,6EAA6E,GAAE,EAAE,OAAO,EAAE,aAAW,UAAS,MAAI,wDAAsD,OAAO,EAAE,SAAS,GAAE,EAAE,EAAE,UAAU,SAAO,GAAE,MAAI,mFAAmF,GAAE,GAAG,SAAS,CAAC;AAAC;AAAC,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,SAAS,GAAEA,MAAE,OAAG,GAAE;AAAC,QAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,KAAK,iBAAiB,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,QAAO,EAAE,EAAE,IAAI,EAAC,EAAE;AAAE,WAAK,eAAe,CAAC;AAAA,IAAC;AAAM,WAAK,eAAe,CAAC;AAAE,WAAO,GAAG,CAAC,GAAEA,MAAE,KAAG,EAAE,QAAQ,GAAE;AAAA,EAAK;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAG,KAAK;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,SAAK,cAAY,KAAK,aAAW;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,WAAO,GAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,eAAa,QAAM,GAAG,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,iBAAgB;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAG,EAAC,MAAK,QAAO,QAAO,GAAG,KAAK,aAAY,OAAO,EAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,UAAM,IAAI,MAAM,yDAAyD;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,UAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG;AAAA,EAAC;AAAA,EAAC,MAAM,kBAAkB,GAAE;AAAC,WAAO,KAAK,eAAa,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,GAAG,CAAC,GAAE,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,EAAE,YAAU,QAAM,EAAE,oBAAkB,QAAM,EAAE,kBAAgB,KAAI,CAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,MAAK;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,MAAIA,KAAE,KAAK,UAAQ,GAAE,KAAK,mBAAiB,CAAC,GAAE,KAAK,qBAAmB,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAU;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,WAAK,iBAAiB,CAAC,KAAG,SAAO,KAAK,iBAAiB,CAAC,IAAE,EAAC,cAAa,GAAG,gBAAe,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,mBAAmB,CAAC,KAAG,SAAO,KAAK,mBAAmB,CAAC,IAAE,EAAC,cAAa,GAAG,eAAc,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,iBAAiB,CAAC,EAAE,UAAS,IAAE,KAAK,mBAAmB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,GAAE,KAAK,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,GAAE,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,GAAG,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,sBAAoB,SAAO,GAAG,KAAK,iBAAiB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,GAAG,KAAK,mBAAmB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAE;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,kBAAiB,GAAG,KAAK,kBAAkB;AAAE,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,mBAAiB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,qBAAmB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,KAAI,KAAK,KAAI,SAAQ,KAAK,QAAO;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,KAAIA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,MAAE,KAAG;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,0BAAwBA,KAAE,KAAK,mBAAiB,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAS;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,WAAK,iBAAiB,CAAC,KAAG,SAAO,KAAK,iBAAiB,CAAC,IAAE,EAAC,cAAa,GAAG,iBAAgB,UAAS,GAAG,MAAI,GAAG,EAAE,OAAM,KAAK,uBAAuB,EAAE,SAAS,KAAE,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,iBAAiB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,UAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,GAAG,GAAE,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,oBAAkB,QAAM,GAAG,KAAK,iBAAiB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAI,QAAI,EAAC,MAAK,EAAE,cAAa,QAAO,EAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE;AAAG,SAAK,mBAAiB,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAASA,GAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,yBAAwB,KAAK,wBAAuB;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,MAAK;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,0BAAwB,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,WAAS,GAAGA,GAAC,EAAE,SAAS,GAAE,KAAK,WAAS,GAAG,CAAC,EAAE,SAAS;AAAA,IAAC,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAM;AAAA,EAAC,eAAe,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,OAAG,MAAI;AAAC,UAAI,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,GAAG,GAAE,KAAK,QAAQ;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,aAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,wBAAwB,CAAC,KAAG,SAAO,KAAK,wBAAwB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,YAAG,KAAG;AAAK;AAAO,YAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,wBAAwB,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,KAAK,OAAO,CAAC,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,SAAS,QAAQ,GAAE,KAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,2BAAyB,QAAM,GAAG,KAAK,wBAAwB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,wBAAuB,GAAG,KAAK,uBAAuB;AAAE,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,SAAS,OAAO,GAAG,KAAK,OAAM,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,OAAM,KAAK,cAAY,CAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAIA,MAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,yBAAuB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,0BAAwB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,OAAM,KAAK,OAAM,SAAQ,KAAK,QAAO;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,OAAMA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,MAAK,IAAE,GAAE;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,GAAE,KAAK,QAAM,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,6BAA2B,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,YAAU,GAAG,CAAC,EAAE,SAAS,GAAE,KAAK,WAAS,GAAGA,GAAC,EAAE,SAAS;AAAA,IAAC,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAQ;AAAA,EAAC,eAAe,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,OAAG,MAAI;AAAC,UAAI,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,GAAG,CAAC,KAAK,cAAa,GAAG,GAAG,KAAK,WAAU,KAAK,KAAK,GAAE,CAAC,CAAC;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,aAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,CAAC,EAAE,SAAS,CAAC,EAAC,IAAG,KAAK,2BAA2B,CAAC,KAAG,SAAO,KAAK,2BAA2B,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,CAAC,EAAE,SAAS,CAAC,EAAC;AAAG,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,YAAG,KAAG;AAAK;AAAO,YAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,2BAA2B,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAE,KAAK,KAAK,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,UAAU,OAAO,GAAG,KAAK,WAAU,CAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,UAAU,QAAQ,GAAE,KAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,8BAA4B,QAAM,GAAG,KAAK,2BAA2B,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,UAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,UAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,OAAM,KAAK,OAAM,SAAQ,KAAK,SAAQ,OAAM,KAAK,MAAK;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,OAAMA,IAAE,SAAQA,IAAE,KAAK;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAE;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,gBAAgB,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAK;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,SAAK,eAAa,GAAE,KAAK,KAAG,QAAM,KAAK,EAAE,QAAQ,GAAE,KAAK,IAAE,GAAG,GAAG,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,EAAE,QAAQ;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAG,IAAE,MAAM,KAAK,kBAAkB,CAAC,GAAE,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,+CAA+C;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,aAAY;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,YAAY;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,UAAM,CAAC,GAAE,KAAK,eAAa,GAAE,KAAK,WAASA,KAAE,KAAK,cAAY,GAAE,KAAK,gBAAc,CAAC,GAAE,KAAK,IAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAU;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,WAAK,cAAc,CAAC,KAAG,SAAO,KAAK,cAAc,CAAC,IAAE,EAAC,cAAa,GAAG,cAAa,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,KAAE,CAAC,EAAC;AAAG,UAAI,IAAE,KAAK,cAAc,CAAC,EAAE,UAAS,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,WAAG,QAAM,GAAG,MAAI;AAAC,YAAI,GAAE,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC;AAAE,aAAK,cAAY,IAAE,GAAG,GAAG,KAAK,GAAE,GAAG,GAAE,GAAG,GAAE,KAAK,CAAC,CAAC,CAAC,GAAE,CAAC,IAAE,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,EAAE,QAAQ,GAAE,KAAK,iBAAe,QAAM,GAAG,KAAK,cAAc,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,WAAS;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAI,QAAI,EAAC,MAAK,EAAE,cAAa,QAAO,EAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE;AAAG,SAAK,gBAAc,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAASA,GAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,UAAS,KAAK,UAAS,aAAY,KAAK,YAAW;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,UAASA,IAAE,WAAW;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,MAAE,KAAG,IAAE,GAAE,IAAE,MAAK,IAAE,OAAG;AAAC,QAAG,MAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,WAAS,GAAE,KAAK,UAAQ,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,qBAAmB,CAAC,GAAE,KAAK,uBAAqB,CAAC,GAAE,KAAK,WAAS,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ,IAAG,KAAG;AAAK,YAAM,IAAI,MAAM,oDAAoD;AAAA,EAAC;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAS;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,WAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,SAAQ,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,mBAAmB,CAAC,KAAG,SAAO,KAAK,mBAAmB,CAAC,IAAE,EAAC,cAAa,GAAG,cAAa,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,qBAAqB,CAAC,KAAG,QAAM,KAAK,aAAW,KAAK,qBAAqB,CAAC,IAAE,EAAC,cAAa,GAAG,QAAO,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,mBAAmB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC;AAAE,YAAG,KAAK,UAAS;AAAC,cAAI,IAAE,KAAK,qBAAqB,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,YAAY,GAAE,GAAG,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,KAAK,OAAO,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,QAAQ,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,cAAI,IAAE,GAAG,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC;AAAA,QAAC,OAAK;AAAC,cAAI,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,QAAQ,GAAE,GAAG,GAAG,GAAE,KAAK,YAAY,GAAE,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,CAAC;AAAE,YAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,cAAI,IAAE,GAAG,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC;AAAA,QAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,wBAAsB,QAAM,KAAK,YAAU,GAAG,KAAK,qBAAqB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,sBAAoB,QAAM,GAAG,KAAK,mBAAmB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,wBAAuB,GAAG,KAAK,kBAAkB;AAAE,WAAO,KAAK,YAAU,EAAE,KAAK,GAAG,KAAK,oBAAoB,GAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE,KAAK,WAAS,EAAE,SAAO,IAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,yBAAuB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,qBAAmB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,aAAW,KAAK,uBAAqB,EAAE,MAAMA,MAAE,GAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAE;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,UAAS,KAAK,UAAS,SAAQ,KAAK,SAAQ,UAAS,KAAK,SAAQ;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,UAASA,IAAE,SAAQA,IAAE,QAAQ;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAS,KAAI;AAAC,WAAQ,KAAK;AAAG,OAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,cAAa,MAAI,IAAG,oBAAmB,MAAI,IAAG,yBAAwB,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,eAAc,MAAI,IAAG,YAAW,MAAI,IAAG,gBAAe,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,8BAA6B,MAAI,IAAG,8BAA6B,MAAI,IAAG,iBAAgB,MAAI,IAAG,gBAAe,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,aAAY,MAAI,IAAG,WAAU,MAAI,IAAG,oBAAmB,MAAI,IAAG,oBAAmB,MAAI,IAAG,aAAY,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAe,KAAG;AAAlB,IAA0B,KAAG;AAAe,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,QAAQ,OAAG,WAAW,CAAC,CAAC,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,YAAY;AAAE,YAAM,IAAI,MAAM,qFAAqF;AAAE,MAAE,WAAW,GAAG,UAAU,MAAI,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,KAAI,KAAG,QAAM,EAAE,WAAS,OAAK,IAAE,KAAI,KAAK,oBAAkB,IAAE,IAAG,KAAK,qBAAmB,IAAE;AAAA,EAAE;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,OAAO,YAAU;AAAY,YAAM,IAAI,MAAM,yFAAyF;AAAE,QAAIA,MAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,EAAE,UAAU,GAAE,EAAC,MAAK,2BAA0B,CAAC,CAAC;AAAE,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,uFAAuF;AAAE;AAAC,UAAI,IAAE,CAAC,EAAC,OAAM,CAAC,OAAK,KAAK,kBAAkB,GAAE,SAAQ,EAAE,YAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,MAAK,mBAAkB,CAAC,CAAC,GAAE,IAAE,KAAK,mBAAiB,OAAK,SAAS,cAAc,GAAG,IAAE,KAAK;AAAgB,UAAG,EAAE,WAAS,KAAK,mBAAkB,EAAE,OAAK,GAAE,MAAM,GAAG,MAAI,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,GAAE,EAAE,cAAY,MAAK;AAAC,YAAI,IAAE,KAAK,oBAAkB,OAAK,SAAS,cAAc,GAAG,IAAE,KAAK;AAAiB,UAAE,WAAS,KAAK,oBAAmB,EAAE,OAAKA,KAAE,MAAM,GAAG,MAAI,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC;AAAA,MAAC;AAAC,aAAM,EAAC,oBAAmB,GAAG,CAAC,EAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAe,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAG,QAAM,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,wEAAwE,GAAG;AAAE,SAAK,WAAS,EAAE,CAAC,GAAE,KAAK,eAAa,EAAE,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAEA,QAAI;AAAC,UAAI,IAAE,IAAI;AAAW,QAAE,SAAO,OAAG;AAAC,YAAI,IAAE,KAAK,MAAM,EAAE,OAAO,MAAM,GAAE,IAAE,EAAE;AAAc,YAAG,KAAG,MAAK;AAAC,UAAAA,IAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,EAAE,mBAAiB,MAAK;AAAC,UAAAA,IAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,KAAK,aAAa,WAAS,GAAE;AAAC,YAAE,EAAC,eAAc,EAAC,CAAC;AAAE;AAAA,QAAM;AAAC,YAAI,IAAE,GAAG,GAAE,OAAG,KAAK,YAAY,CAAC,CAAC;AAAE,UAAE,CAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAGA,IAAE,sEAAsE,KAAK,SAAS,2EAA2E,GAAE,EAAE,WAAW,KAAK,QAAQ;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,KAAK,GAAG,EAAE,OAAO,GAAE,EAAE,KAAK,GAAG,EAAE,KAAK;AAAE,QAAI,IAAE,KAAK,4BAA4B,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,gBAAgB,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,WAAO,QAAQ,IAAI,CAAC,EAAE,KAAK,OAAG,CAACA,KAAE,GAAG,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,IAAI;AAAW,QAAE,SAAO,OAAG;AAAC,YAAI,IAAE,EAAE,OAAO;AAAO,UAAE,CAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,6CAA6C,KAAK,GAAE,EAAE,kBAAkBA,GAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,4BAA4B,GAAE;AAAC,QAAIA,MAAE,CAAC,GAAE,IAAE,KAAK,aAAa,IAAI,OAAG,GAAG,EAAE,IAAI,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,QAAE,MAAM,QAAQ,OAAG;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,YAAGA,IAAE,QAAQ,CAAC,MAAI;AAAG,gBAAM,IAAI,MAAM,uDAAuD,IAAI;AAAE,YAAGA,IAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,CAAC,MAAI;AAAG,gBAAM,IAAI,MAAM,8BAA8B,qBAAqB;AAAE,UAAE,CAAC,IAAE,KAAK,aAAa,EAAE,QAAQ,CAAC,CAAC;AAAA,MAAC,CAAC;AAAE,QAAGA,IAAE,WAAS,KAAK,aAAa;AAAO,YAAM,IAAI,MAAM,wDAAwDA,IAAE,oDAAoD,KAAK,aAAa,UAAU;AAAE,WAAO;AAAA,EAAC;AAAC;AAA7xD,IAA+xD,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,IAAE,SAAQ;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,IAAE,CAAC,GAAEA,MAAEA,OAAG,OAAK,IAAEA,KAAE,IAAE,KAAG,OAAK,IAAE,GAAE,EAAEA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE,QAAI,EAAE,KAAK,OAAG;AAAC,QAAI,IAAEA,MAAG,EAAE,IAAE,EAAE,UAAQ,IAAEA;AAAG,WAAO,EAAE,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE;AAAG,WAAS,EAAE,GAAE;AAAC,MAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,SAAO,GAAE,MAAI,qCAAqC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE,GAAE;AAAC,MAAE,KAAG,KAAG,KAAG,GAAE,MAAI,oEAAoE,GAAG,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,kEAAkE,GAAG,GAAE,EAAE,KAAG,GAAE,MAAI,yEAAyE,qBAAqB,GAAG;AAAA,EAAC;AAAC,SAAO,QAAQ,IAAI,EAAE,IAAI,CAAC,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,CAAC;AAAG,MAAIA,MAAE,EAAE,aAAW,OAAK,EAAE,EAAE,SAAS,QAAM,EAAE,WAAU,IAAE,EAAE,IAAI,OAAGA,IAAE,GAAE,EAAE,aAAY,EAAC,UAAS,KAAE,CAAC,CAAC,GAAE,IAAE,GAAE,IAAE,KAAG,KAAG,EAAE,cAAY,OAAK,MAAM,QAAQ,IAAI,CAAC,IAAE,MAAM,GAAG,GAAE,EAAE,YAAW,GAAE,CAAC,GAAG,IAAI,OAAG,EAAE,YAAY,CAAC,GAAE,IAAE,KAAG,IAAE;AAAE,SAAO,EAAE,cAAY,OAAK,MAAM,QAAQ,IAAI,CAAC,IAAE,MAAM,GAAG,GAAE,EAAE,YAAW,GAAE,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,IAAE,IAAGA,KAAE,GAAE;AAAC,SAAO,GAAG,OAAG,GAAG,GAAE,EAAC,aAAY,EAAC,CAAC,CAAC,EAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAM,GAAEA,MAAE,IAAG,MAAI;AAAC,QAAI,IAAE,EAAE,IAAI,MAAI,KAAE,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,OAAK,EAAE,IAAI,MAAI,KAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE;AAAE,QAAE,QAAQ,QAAQ,OAAG;AAAC,YAAI,IAAE,kBAAiB,IAAE,EAAE,aAAa,QAAM,EAAE,OAAM,IAAE,GAAG,CAAC,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,MAAI;AAAC,YAAE,CAAC,IAAE,MAAG,EAAE,CAAC,KAAG,SAAO,EAAE,CAAC,IAAE,CAAC,IAAG,EAAE,CAAC,EAAE,KAAK,EAAC,eAAc,GAAE,aAAY,GAAE,WAAU,EAAC,CAAC;AAAA,QAAC;AAAE,aAAG,OAAK,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,gBAAI,EAAE,SAAO,EAAE,GAAE,EAAE,CAAC,IAAE;AAAA,QAAG,CAAC,IAAE,EAAE,GAAE,EAAE,KAAK,EAAE,IAAI,GAAE,KAAG;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,CAAC,EAAE,MAAM,OAAG,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,CAAC;AAAE,YAAM,IAAI,MAAM,kDAAkD,EAAE,KAAK,IAAI;AAAA,wCAC/5pB,EAAE,KAAK,IAAI,IAAI;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,GAAE,OAAK,KAAG,EAAE,KAAK,CAAC,GAAE,IAAG,CAAC,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,QAAE,CAAC,EAAE,MAAM,QAAQ,OAAG;AAAC,YAAI,IAAEA,OAAGA,IAAE,SAAS,GAAG,IAAE,KAAG,OAAK;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,MAAM,EAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAO,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC,EAAE,MAAM,QAAO,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAG,EAAE,IAAE,CAAC,EAAE;AAAW,UAAI,IAAE,IAAI,YAAY,CAAC,GAAE,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAI,WAAW,EAAE,IAAE,CAAC,CAAC;AAAE,UAAE,IAAI,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,MAAU;AAAC,QAAE,CAAC,EAAE,QAAQ,OAAG;AAAC,YAAI,IAAE,EAAE,MAAM,EAAE,aAAY,EAAE,cAAY,EAAE,SAAS,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,aAAa,CAAC;AAAE,iBAAQ,KAAK;AAAE,YAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC,CAAC,GAAE,KAAG;AAAA,IAAC,CAAC,GAAE;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAkC,KAAG;AAArC,IAAwD,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,QAAG,KAAK,iBAAe,QAAOA,OAAG,SAAOA,MAAE,CAAC,IAAG,KAAK,mBAAiBA,IAAE,kBAAiB,KAAK,aAAWA,IAAE,YAAW,KAAK,qBAAmBA,IAAE,oBAAmBA,IAAE,aAAW,QAAM,EAAE,OAAOA,IAAE,aAAW,YAAW,MAAI,6HAA6H,GAAE,KAAK,QAAMA,IAAE,aAAW,KAAK,QAAM,EAAE,EAAE,SAAS,OAAM,EAAE,KAAG,QAAM,EAAE,SAAO,GAAE,MAAI,yDAAyD,GAAE,MAAM,QAAQ,CAAC,KAAG,EAAE,EAAE,WAAS,GAAE,MAAI,iEAAiE,EAAE,UAAU,GAAE,KAAK,OAAK,GAAEA,IAAE,eAAa,QAAMA,IAAE,YAAY,QAAM;AAAK,YAAM,IAAI,MAAM,oEAAoE;AAAE,SAAK,cAAYA,IAAE,eAAa,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,yFAAyF;AAAE,QAAIA,MAAE,OAAO,OAAO,EAAC,QAAO,KAAK,eAAc,GAAE,KAAK,WAAW;AAAE,IAAAA,IAAE,OAAK,IAAI;AAAS,QAAI,IAAE,CAAC,EAAC,OAAM,CAAC,qBAAqB,GAAE,SAAQ,EAAE,YAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,IAAAA,IAAE,KAAK,OAAO,cAAa,IAAI,KAAK,CAAC,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,MAAK,GAAE,CAAC,GAAE,YAAY,GAAE,EAAE,cAAY,QAAMA,IAAE,KAAK,OAAO,qBAAoB,IAAI,KAAK,CAAC,EAAE,UAAU,GAAE,EAAC,MAAK,GAAE,CAAC,GAAE,mBAAmB;AAAE,QAAI,IAAE,MAAM,KAAK,MAAM,KAAK,MAAKA,GAAC;AAAE,QAAG,EAAE;AAAG,aAAM,EAAC,oBAAmB,GAAG,CAAC,GAAE,WAAU,CAAC,CAAC,EAAC;AAAE,UAAM,IAAI,MAAM,gEAAgE,EAAE,SAAS;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,QAAI,IAAE,MAAM,KAAK,MAAM,KAAK,MAAK,KAAK,WAAW;AAAE,QAAG,CAAC,EAAE;AAAG,YAAM,IAAI,MAAM,cAAc,KAAK,gCAAgC,EAAE,+EAA+E;AAAE,QAAIA;AAAE,QAAG;AAAC,MAAAA,MAAE,MAAM,EAAE,KAAK;AAAA,IAAC,SAAO,GAAN;AAAS,UAAI,IAAE,+CAA+C,KAAK;AAAQ,YAAM,KAAK,KAAK,SAAS,KAAK,IAAE,KAAG,iVAA+U,KAAG,wEAAuE,IAAI,MAAM,CAAC;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,eAAc,IAAEA,IAAE;AAAgB,QAAG,KAAG,QAAM,KAAG;AAAK,YAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D;AAAE,WAAO,GAAGA,KAAE,OAAG,KAAK,YAAY,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,KAAK,IAAI,IAAE,KAAK,KAAK,CAAC,IAAE,KAAK,MAAK,CAAC,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,IAAE,KAAK,oBAAkB,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,eAAQ,KAAK,EAAE;AAAM,aAAK,sBAAoB,OAAK,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,IAAE,EAAE,KAAK,IAAE,IAAE,CAAC;AAAE,SAAK,sBAAoB,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAI,CAAC,CAAC;AAAE,QAAI,IAAE,MAAM,GAAG,GAAE,EAAC,aAAY,KAAK,aAAY,WAAU,KAAK,OAAM,YAAW,KAAK,WAAU,CAAC;AAAE,WAAM,CAAC,GAAE,GAAG,CAAC,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,mBAAiB;AAAe,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,YAAY,GAAG,GAAEA,MAAE,EAAE,YAAY,GAAG,GAAE,IAAE,EAAE,UAAU,GAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,EAAE,UAAUA,GAAC,IAAE;AAAG,SAAM,CAAC,IAAE,KAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,MAAM,GAAG,gBAAgB,KAAG;AAAI;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI;AAAC,MAAG,OAAO,SAAO,gBAAc,KAAG,QAAM,EAAE,aAAW;AAAM,WAAO;AAAK;AAAC,QAAIA,MAAE;AAAG,QAAG,MAAM,QAAQ,CAAC,IAAEA,MAAE,EAAE,MAAM,OAAG,GAAG,CAAC,CAAC,IAAEA,MAAE,GAAG,CAAC,GAAEA;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAI;AAAE,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAI,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,iBAAe;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK;AAAA,EAAc;AAAC;AAApF,IAAsF,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,YAAY,CAAC;AAAA,EAAC;AAAC;AAApK,IAAsK,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,MAAE,SAAO,KAAK,OAAK,MAAI,QAAQ,QAAQ,EAAE,KAAK,CAAC,IAAG,EAAE,SAAO,KAAK,OAAK,CAAAA,QAAG,QAAQ,QAAQ,EAAE,KAAKA,GAAC,CAAC;AAAA,EAAE;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE;AAAU,SAAO,IAAI,GAAG,GAAG,GAAG,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,UAAU,WAAS,IAAE,EAAE,iBAAe,QAAM,EAAE,eAAa,OAAK,IAAI,GAAG,CAAC,KAAG,QAAQ,KAAK,uNAAuN,GAAE,IAAI,GAAG,EAAC,eAAc,EAAC,CAAC,MAAI,QAAQ,KAAK,uNAAuN,GAAE,IAAI,GAAG,EAAC,eAAc,GAAE,aAAY,GAAE,YAAWA,KAAE,gBAAe,EAAC,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,iBAAiB,GAAE,IAAE,EAAE,GAAE,eAAc,iBAAiB;AAAE,IAAEA,OAAG,QAAMA,MAAE,KAAG,OAAO,UAAUA,GAAC,GAAE,MAAI,+DAA+DA,KAAG,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,gDAAgD,EAAE,MAAM,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,MAAM,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,uCAAuC,EAAE,MAAM,CAAC,SAAS,EAAE,MAAM,CAAC,oEAAoE,GAAE,EAAEA,MAAE,KAAG,OAAO,UAAUA,GAAC,GAAE,MAAI,4DAA4DA,KAAG;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,OAAO,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAG,GAAE,OAAO,GAAEA,GAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,OAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,YAAW,MAAI,IAAG,iBAAgB,MAAI,IAAG,UAAS,MAAI,GAAE,CAAC;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAIA,MAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE;AAAG,MAAG,EAAE,gBAAgB;AAAW,IAAAA,MAAE;AAAA,WAAW,OAAO,aAAW,eAAa,aAAa;AAAU,QAAE;AAAA,WAAW,OAAO,oBAAkB,eAAa,aAAa;AAAiB,QAAE;AAAA,WAAW,OAAO,oBAAkB,eAAa,aAAa;AAAiB,QAAE;AAAA,WAAW,EAAE,cAAY;AAAK,QAAE;AAAA,WAAW,OAAO,eAAa,eAAa,aAAa;AAAY,QAAE;AAAA;AAAQ,UAAM,IAAI,MAAM,qPAAqP,EAAE,YAAY,MAAM;AAAE,MAAG,GAAG,IAAG,EAAE,WAAW,KAAG,MAAK;AAAC,QAAI,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,aAAY,EAAC;AAAE,WAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE;AAAE,MAAG;AAAE,QAAE,EAAE,WAAW,IAAI,EAAE,aAAa,GAAE,GAAE,GAAE,CAAC,EAAE;AAAA,WAAa,KAAGA;AAAE,QAAE,EAAE;AAAA,WAAa,KAAG,KAAG,GAAE;AAAC,QAAG,MAAI;AAAK,UAAG,OAAO,YAAU;AAAY,YAAG,OAAO,mBAAiB,eAAa,OAAO,qCAAmC;AAAY,eAAG,IAAI,gBAAgB,GAAE,CAAC,EAAE,WAAW,IAAI;AAAA;AAAO,gBAAM,IAAI,MAAM,sGAAsG;AAAA;AAAO,aAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,KAAE,CAAC;AAAE,OAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,aAAa,GAAE,GAAE,GAAE,CAAC,EAAE;AAAA,EAAI;AAAC,MAAI;AAAE,MAAG,MAAI;AAAE,QAAE,IAAI,WAAW,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAE;AAAE,QAAE,IAAI,WAAW,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,QAAM,EAAE,gBAAgB;AAAU;AAAC,SAAS,KAAI;AAAC,SAAO,OAAO,UAAQ,eAAa,OAAO,eAAa,eAAa,OAAO,eAAe,mBAAmB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,QAAM,EAAE,UAAQ,KAAG,EAAE,WAAS;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,KAAG,EAAE,aAAa,gBAAc,GAAG,CAAC,KAAG,CAAC,GAAG,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE;AAAK,MAAG,EAAE,EAAE,QAAQ,qBAAqB,KAAG,GAAG,CAAC,GAAE;AAAC,QAAI;AAAE,QAAG;AAAC,UAAE,MAAM,kBAAkB,GAAE,EAAC,kBAAiB,OAAM,CAAC;AAAA,IAAC,SAAO,GAAN;AAAS,UAAE;AAAA,IAAI;AAAC,SAAG,QAAM,EAAE,UAAQ,EAAE,SAAO,EAAE,WAAS,EAAE,SAAOA,MAAE,IAAEA,MAAE;AAAA,EAAC;AAAM,IAAAA,MAAE;AAAE,SAAO,GAAGA,KAAE,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,OAAM,UAAU;AAAE,MAAG,EAAE,aAAa,KAAI;AAAC,QAAI,IAAEA;AAAE,IAAAA,MAAE,GAAG,GAAE,OAAO,GAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,MAAGA,IAAE,SAAO,KAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,wDAAwDA,IAAE,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAEA,IAAE,MAAM,MAAM,GAAE,CAAC,GAAE,IAAEA,IAAE,SAAO,IAAE,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,IAAE,KAAG,MAAI;AAAE,UAAM,IAAI,MAAM,0DAA0D,GAAG;AAAE,MAAGA,IAAE,UAAQ,aAAWA,IAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,kCAAkCA,IAAE,6CAA6C;AAAE,MAAI,IAAE,MAAMA,IAAE,KAAK,GAAE,IAAEA,IAAE,UAAQ,YAAU,MAAI,GAAE,IAAE,IAAI,kBAAkB,IAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,CAAC,GAAE,GAAE,GAAE,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,UAAGA,IAAE,UAAQ,WAAU;AAAC,YAAG,IAAE,KAAG,IAAE;AAAE,gBAAM,IAAI,MAAM,mFAAmF,IAAI;AAAA,MAAC,WAASA,IAAE,UAAQ,YAAU,IAAE,KAAG,IAAE;AAAK,cAAM,IAAI,MAAM,mFAAmF,IAAI;AAAE,YAAI,KAAG,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,IAAE,IAAE;AAAA,IAAC;AAAC,QAAI,IAAE,IAAE;AAAE,MAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,MAAE,QAAM,GAAE,EAAE,SAAO;AAAE,QAAI,IAAE,EAAE,WAAW,IAAI,GAAE,IAAE,IAAI,UAAU,GAAE,GAAE,CAAC;AAAE,MAAE,aAAa,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,QAAI,KAAGA,IAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,oBAAmB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM;AAAO,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,4EAA4EA,MAAI;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,8EAA8E,IAAI;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ;AAAE,MAAG,EAAE,MAAM,IAAE,CAAC,IAAEA;AAAE,UAAM,IAAI,MAAM,iEAAiE,EAAE,MAAM,IAAE,CAAC,SAASA,KAAG;AAAE,MAAG,GAAG,EAAE,KAAK,MAAI;AAAE,UAAM,IAAI,MAAM,mEAAmE,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,SAAG,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM;AAAE,IAAE,IAAI;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE;AAAE,SAAG,EAAE,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,GAAG,EAAE,KAAK,EAAE,IAAI,OAAG,IAAE,CAAC,GAAE,CAAC,EAAE,MAAM,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,iBAAgB,MAAI,IAAG,mBAAkB,MAAI,IAAG,kBAAiB,MAAI,IAAG,YAAW,MAAI,IAAG,kBAAiB,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,4BAA2B,MAAI,IAAG,aAAY,MAAI,IAAG,2BAA0B,MAAI,IAAG,gBAAe,MAAI,IAAG,uBAAsB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,MAAI,EAAE,QAAO,MAAI,iBAAiB,uBAAuB,uCAAuC,KAAK,GAAE,EAAE,MAAIA,IAAE,QAAO,MAAI,iBAAiB,sBAAsBA,yCAAuC,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,EAAE,CAAC,IAAEA,IAAE,CAAC,KAAG,EAAE,MAAM,CAAC,GAAE,MAAI,iBAAiB,aAAa,aAAa,OAAO,EAAE,CAAC,IAAEA,IAAE,CAAC,iCAAiC,OAAO,EAAE,MAAM,CAAC,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC,GAAEA,MAAE;AAAE,SAAK,IAAE;AAAG,QAAE,KAAG,EAAE,KAAKA,GAAC,GAAE,KAAG,GAAEA;AAAI,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,IAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC;AAAE,WAAQ,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO;AAAI,MAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,UAAI,IAAE,EAAE,CAAC,IAAE,KAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,EAAE,IAAI;AAAG,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAOA,OAAG,IAAEA,MAAEA,OAAG,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,IAAE,KAAK,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,MAAG,EAAE,UAAQA,MAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE;AAAE,QAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAM,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAM,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,QAAQ,CAAC,IAAE;AAAG,QAAE,CAAC,IAAE;AAAA,SAAM;AAAC,UAAI,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,KAAG,MAAI,IAAE,IAAG,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,QAAQ,CAAC,IAAE;AAAG,QAAE,CAAC,IAAE,OAAO;AAAA,SAAqB;AAAC,UAAI,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,KAAG,MAAI,IAAE,OAAO,mBAAkB,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,KAAG,IAAG,EAAE,CAAC,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,UAAOA,MAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,KAAG;AAAE,GAAC,IAAE,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAE,IAAE,OAAO,mBAAiB,IAAE,OAAO;AAAkB,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,MAAI,KAAG,IAAG,IAAE,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,KAAG;AAAE,GAAC,IAAE,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAE,IAAE,OAAO,mBAAiB,IAAE,OAAO;AAAkB,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,MAAI,KAAG,IAAG,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC,IAAE,IAAE,GAAG,IAAG,GAAE,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE;AAAO,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAGA,IAAE,CAAC,IAAE,GAAE;AAAC,UAAE;AAAE;AAAA,IAAK;AAAC,WAAQ,IAAE,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAG,EAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,MAAI,EAAE,CAAC;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,SAAO,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,IAAAA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,GAAE,IAAE,EAAE,MAAM;AAAO,SAAO,KAAG,WAAS,IAAE,CAAC,GAAE,GAAG,IAAI,MAAM,IAAE,CAAC,EAAE,KAAK,CAAC,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,OAAO,IAAI,MAAM,IAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,IAAE,IAAE,EAAE,MAAM,GAAE,EAAE,QAAQ,OAAG;AAAC,MAAE,MAAI,IAAG,MAAI,mDAAmD;AAAA,EAAC,CAAC;AAAE,MAAI;AAAE,SAAOA,OAAG,OAAK,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,IAAE,OAAOA,OAAG,WAAS,IAAE,CAACA,KAAE,GAAG,IAAI,MAAM,IAAE,CAAC,EAAE,KAAK,EAAE,CAAC,IAAEA,IAAE,SAAO,IAAE,IAAEA,IAAE,OAAO,IAAI,MAAM,IAAEA,IAAE,MAAM,EAAE,KAAK,EAAE,CAAC,IAAE,IAAEA,KAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,IAAE,KAAG,EAAE,MAAI,IAAG,MAAI,qDAAqD,mCAAmC,IAAI,GAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,EAAE,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI;AAAE,MAAG,KAAG,QAAM,IAAE,IAAI,MAAM,EAAE,MAAM,GAAE,EAAE,KAAK,CAAC,KAAG,IAAE,GAAE,KAAG,QAAM,IAAE,IAAE;AAAE,UAAM,IAAI,MAAM,4CAA4C;AAAE,MAAI,IAAE,OAAG,IAAE,EAAC,MAAK,EAAE,QAAO,yBAAwB,GAAE,OAAM,EAAE,MAAM,GAAE,KAAIA,IAAE,MAAM,GAAE,SAAQ,EAAE,MAAM,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,SAAG,KAAG,IAAE,KAAG,EAAE,2BAA0B,KAAG,IAAE,MAAI,IAAE;AAAI,QAAI,EAAE,gBAAc,KAAG,EAAE,MAAK,EAAE;AAAQ,MAAI,IAAE,EAAC,MAAK,EAAE,QAAO,WAAU,GAAE,SAAQ,GAAE,YAAW,OAAG,UAAS,MAAE;AAAE,KAAG,GAAE,CAAC;AAAE,MAAI,IAAE,MAAG,IAAE,MAAG,IAAE,MAAG,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAG,EAAE,QAAQ,CAAC,MAAI;AAAE,YAAM,MAAM,WAAW,qBAAqB;AAAE,QAAI,IAAE,CAAC,EAAE,EAAE,iBAAe,KAAG,IAAG,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI,IAAG;AAAC,QAAE,KAAK,IAAE,IAAE,EAAE;AAAE;AAAA,IAAQ;AAAC,QAAI,IAAE,CAAC,EAAE,YAAU,KAAG,GAAE,EAAE,UAAQ,KAAG,CAAC,GAAE,IAAE,CAAC,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAG,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,QAAG,KAAG,EAAE,QAAQ,CAAC,KAAG;AAAE,YAAM,MAAM,8CAA8C;AAAE,QAAE,KAAG,EAAE,QAAQ,CAAC,MAAI;AAAE,QAAI,IAAE,CAAC,EAAE,EAAE,YAAU,KAAG,KAAG,EAAE,UAAQ,KAAG;AAAG,QAAG,EAAE,cAAY,EAAE,UAAS;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,EAAE,MAAM,CAAC,IAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,YAAG,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,IAAI,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,KAAG,KAAG;AAAE,gBAAM,MAAM,eAAe,EAAE,MAAM,CAAC,kBAAkB,kBAAkB;AAAA,MAAC;AAAM,UAAE,MAAM,CAAC,IAAE,GAAG,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,QAAQ,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,IAAI,CAAC,IAAE,GAAG,EAAE,IAAI,CAAC,GAAE,GAAE,EAAE,QAAQ,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,UAAI,IAAE,EAAE,QAAQ,CAAC,MAAI,KAAG,EAAE,MAAM,CAAC,MAAI,KAAG,EAAE,IAAI,CAAC,MAAI;AAAE,UAAE,KAAG,GAAE,IAAE,MAAI,MAAI,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG;AAAA,IAAE;AAAM,UAAE,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG,GAAE,IAAE,MAAI,MAAI,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG;AAAG,QAAI,GAAE,IAAE;AAAG,QAAG,EAAE,cAAY,EAAE,YAAU,IAAE,EAAE,IAAI,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,QAAI,KAAG,IAAE,GAAE,IAAE,QAAI,KAAG,KAAG,MAAI,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,CAAC,IAAE,IAAE,GAAE,IAAE,OAAI,GAAE;AAAC,UAAI;AAAE,YAAI,KAAG,IAAE,KAAG,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAE,IAAE,KAAK,MAAM,IAAE,EAAE,QAAQ,CAAC,CAAC,KAAG,IAAE,EAAE,QAAQ,CAAC,MAAI,IAAE,IAAE,IAAG,EAAE,KAAK,CAAC;AAAA,IAAC;AAAM,QAAE,KAAK,EAAE;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,wBAAwB,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,wBAAwB,CAAC;AAAE,SAAG,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC,IAAE,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,kBAAiB,EAAE,OAAO,CAAC,GAAE,MAAI,EAAE,wBAAwB,CAAC,MAAI,EAAE,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,EAAE,OAAM,KAAI,EAAE,KAAI,SAAQ,EAAE,QAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,YAAU,GAAE,EAAE,UAAQ,GAAE,EAAE,iBAAe;AAAE,MAAIA,MAAE;AAAE,IAAE,aAAW,EAAE,SAAO,MAAK,EAAE,WAAS,EAAE,OAAK,MAAK,EAAE,QAAM,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,MAAI,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,UAAQ,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,0BAAwB,CAAC,GAAE,EAAE,gCAA8B,CAAC,GAAE,EAAE,gCAA8B,IAAI,MAAM,EAAE,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,QAAG,KAAG,IAAE,EAAE,cAAa;AAAC,UAAI,IAAE,KAAK,IAAI,EAAE,QAAM,EAAE,OAAK,KAAG,IAAE,EAAE,yBAAwB,EAAE,IAAI;AAAE,aAAKA,MAAE,GAAEA;AAAI,UAAE,MAAMA,GAAC,IAAE,GAAE,EAAE,IAAIA,GAAC,IAAE,GAAE,EAAE,QAAQA,GAAC,IAAE,GAAE,EAAE,aAAW,KAAGA,KAAE,EAAE,WAAS,KAAGA,KAAE,EAAE,wBAAwB,KAAKA,GAAC,GAAE,EAAE,8BAA8B,KAAK,EAAE,GAAE,EAAE,8BAA8BA,GAAC,IAAE;AAAA,IAAC,WAAS,KAAG,IAAE,EAAE;AAAY,QAAE,wBAAwB,KAAK,EAAE,GAAE,EAAE,8BAA8B,KAAK,EAAE;AAAA,SAAM;AAAC,UAAGA,QAAI,EAAE,MAAM;AAAO,cAAM,MAAM,sCAAsCA,uBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS;AAAE,QAAE,SAAO,SAAO,EAAE,MAAMA,GAAC,IAAE,EAAE,MAAM,CAAC,IAAG,EAAE,OAAK,SAAO,EAAE,IAAIA,GAAC,IAAE,EAAE,IAAI,CAAC,IAAG,EAAE,QAAQA,GAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,EAAE,YAAU,KAAG,MAAI,EAAE,aAAW,KAAGA,MAAG,EAAE,UAAQ,KAAG,MAAI,EAAE,WAAS,KAAGA,MAAG,EAAE,iBAAe,KAAG,KAAG,EAAE,wBAAwB,KAAK,EAAE,GAAE,EAAE,8BAA8B,KAAK,EAAE,GAAE,EAAE,kBAAgB,KAAGA,QAAI,EAAE,wBAAwB,KAAKA,GAAC,GAAE,EAAE,8BAA8B,KAAK,CAAC,IAAG,EAAE,8BAA8BA,GAAC,IAAE,GAAEA;AAAA,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,CAAC;AAAE,WAAOA,MAAE,IAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,WAAO,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAQ,IAAI,KAAG,MAAK;AAAA,EAAC,OAAO,IAAI,GAAE;AAAC,WAAO,IAAI,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAS,GAAEA,KAAE,IAAE,OAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,QAAQ,GAAEA,MAAE,KAAG,IAAE,GAAE,IAAE,MAAK,IAAE,OAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,KAAK,IAAE,MAAKA,MAAE,KAAG,IAAE,OAAK,IAAE,MAAK;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAS,IAAE,MAAKA,MAAE,MAAI,IAAE,MAAK;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,OAAO,IAAE,MAAKA,MAAE,KAAG,IAAE,OAAK,IAAE,MAAK,IAAE,GAAE;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,QAAQ,GAAEA,MAAE,KAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,GAAC;AAAA,EAAC;AAAC;AAAE,IAAI,MAAI;AAAG,IAAI,MAAI,MAAI,OAAO,yBAAuB,cAAY,wBAAsB,OAAO,gBAAc,cAAY,eAAa,OAAG,EAAE,GAAG;AAAE,SAAS,KAAI;AAAC,SAAO,IAAI,QAAQ,OAAG,GAAG,MAAI,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI,IAAE,CAAC;AAAE,GAAG,GAAE,EAAC,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,OAAM,MAAI,IAAG,uBAAsB,MAAI,IAAG,kBAAiB,MAAI,IAAG,YAAW,MAAI,IAAG,iBAAgB,MAAI,IAAG,iBAAgB,MAAI,IAAG,4BAA2B,MAAI,IAAG,4BAA2B,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,IAAG,2BAA0B,MAAI,IAAG,kBAAiB,MAAI,IAAG,mCAAkC,MAAI,IAAG,sBAAqB,MAAI,IAAG,qBAAoB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,uBAAsB,MAAI,IAAG,0BAAyB,MAAI,IAAG,2BAA0B,MAAI,IAAG,iBAAgB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,yBAAwB,MAAI,IAAG,sBAAqB,MAAI,IAAG,gCAA+B,MAAI,IAAG,sBAAqB,MAAI,IAAG,UAAS,MAAI,IAAG,WAAU,MAAI,IAAG,wBAAuB,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,kBAAiB,MAAI,IAAG,qBAAoB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,gBAAe,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,qBAAoB,MAAI,IAAG,4BAA2B,MAAI,IAAG,qBAAoB,MAAI,IAAG,cAAa,MAAI,IAAG,iDAAgD,MAAI,IAAG,iDAAgD,MAAI,IAAG,mDAAkD,MAAI,IAAG,sDAAqD,MAAI,IAAG,iDAAgD,MAAI,IAAG,iDAAgD,MAAI,IAAG,0DAAyD,MAAI,IAAG,+CAA8C,MAAI,IAAG,wDAAuD,MAAI,IAAG,yDAAwD,MAAI,IAAG,8DAA6D,MAAI,IAAG,0DAAyD,MAAI,IAAG,wBAAuB,MAAI,IAAG,uBAAsB,MAAI,IAAG,KAAI,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,kBAAiB,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,wBAAuB,MAAI,IAAG,+BAA8B,MAAI,IAAG,mBAAkB,MAAI,IAAG,YAAW,MAAI,IAAG,2BAA0B,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,MAAK,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,CAAC,EAAE;AAAO,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,EAAE,WAASA,KAAE,MAAI,kBAAkBA,yBAAuB,gDAAgDA,MAAI;AAAA,EAAC,CAAC,GAAE,EAAE,KAAG,KAAG,IAAEA,KAAE,MAAI,kBAAkBA,oCAAkCA,MAAE,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,aAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,QAAE,MAAI,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,GAAE,MAAI,kBAAkBA,0BAAwB,OAAO,4CAA4C,sCAAsC,IAAI;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,CAAC,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,iBAAe,CAAC,IAAE,kBAAiB,EAAE,EAAE,eAAa,CAAC,IAAE,gBAAe,EAAE,EAAE,cAAY,CAAC,IAAE,eAAc,EAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,aAAW,CAAC,IAAE;AAAY,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI;AAAM,MAAGA,OAAG,QAAM,KAAG;AAAK,WAAO;AAAE,MAAG,KAAG;AAAK,WAAK,EAAE,SAAO,IAAEA,IAAE;AAAQ,QAAE,KAAK,EAAE;AAAA;AAAO,QAAE,EAAE,MAAM;AAAE,MAAGA,OAAG;AAAK,WAAO;AAAE,MAAG,IAAEA,IAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,4BAA4B,uCAAuC,IAAEA,IAAE,4BAA4B,EAAE,QAAQ;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,EAAE,EAAE,SAAOA,IAAE,SAAO,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG;AAAE,UAAG,KAAG,GAAE;AAAC,YAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,4BAA4B,sCAAsC,IAAE,QAAQ,eAAe,IAAE,QAAQ,GAAG;AAAA,MAAC;AAAM,UAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAC,gBAAe,GAAG,gBAAe,cAAa,GAAG,cAAa,aAAY,GAAG,aAAY,YAAW,GAAG,YAAW,YAAW,GAAG,YAAW,YAAW,GAAG,WAAU,GAAEA,MAAE,CAAC;AAAE,WAAQ,KAAK;AAAE,QAAG,KAAK;AAAE,MAAAA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAA;AAAO;AAAM,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAS,IAAE,IAAE,EAAE,CAAC,MAAI,GAAG,iBAAe,EAAE,SAAO,IAAE,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG,QAAM,KAAG;AAAK;AAAO,MAAIA,MAAE,EAAE,QAAO,IAAE,EAAE;AAAO,MAAGA,OAAG;AAAE,UAAM,IAAI,MAAM,sBAAsB,wCAAwC,4CAA4CA,+DAA6D,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,KAAK,IAAIA,KAAE,IAAE,CAAC,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC;AAAE,QAAG,KAAG,KAAG,KAAG,KAAG,MAAI,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,sBAAsB,+CAA+C,0CAA0C,IAAE,EAAE,aAAa,8CAA8C,IAAE,EAAE,aAAa,GAAG;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,KAAG,IAAE,GAAG,GAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,OAAG,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC,IAAG,IAAE,KAAG,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC;AAAG,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG;AAAE,QAAE,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC;AAAA,OAAM;AAAC,QAAE,EAAE,OAAO,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE;AAAO,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,EAAE,OAAO,CAAC,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,QAAE,EAAE,OAAO,EAAE,MAAM,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAGA,KAAE;AAAC,MAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,IAAE,KAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,KAAG,IAAE,EAAE,KAAG,EAAE,KAAK,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,EAAE,KAAK,CAAC,IAAE,EAAE,KAAK,CAAC;AAAE,MAAE,KAAK,GAAG,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC,IAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,SAAG,EAAE,SAAO,IAAE,EAAE,KAAK,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,CAAC,IAAE,EAAE,KAAK,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,CAAC,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE;AAAE,MAAE,KAAK,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG;AAAP,IAA0B,KAAG;AAAmB,IAAI,KAAG;AAAP,IAAgB,KAAG;AAAnB,IAA8B,KAAG;AAAjC,IAA6C,KAAG;AAAhD,IAA4D,KAAG;AAA/D,IAA4E,KAAG;AAAY,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,gEAAgE,EAAE,iBAAiB,EAAE,SAAS;AAAE,MAAIA,MAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,MAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAK,GAAE,MAAKA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,KAAK,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,IAAE,IAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,aAAa,IAAE,CAAC,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC,GAAE,KAAI;AAAC,QAAI,KAAG,IAAE,IAAE,MAAI,KAAK,MAAI,IAAE;AAAG,IAAAA,IAAE,CAAC,IAAE,KAAK,IAAI,CAAC,GAAE,EAAE,CAAC,IAAE,KAAK,IAAI,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,KAAGA,MAAE,IAAE,MAAI,KAAK,MAAI,IAAE,IAAG,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAK,IAAI,CAAC;AAAE,SAAM,EAAC,MAAK,GAAE,MAAK,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAY,KAAG;AAAf,IAAqB,KAAG;AAAxB,IAA4B,KAAG;AAAM,SAAS,GAAG,GAAE,GAAE;AAAC,MAAE,EAAE,QAAQ,OAAM,EAAE;AAAE,MAAIA,OAAG,EAAE,SAAO,EAAE,QAAQ,IAAG,EAAE,EAAE,UAAQ,GAAG;AAAO,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,6CAA6C,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,EAAE;AAAE,IAAE,EAAE,QAAQ,EAAE,MAAI,IAAG,MAAI,2BAA2B,4BAA4B;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE;AAAO,MAAG,MAAI;AAAE,UAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,+DAA+D;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,CAAC,EAAE,KAAK,OAAG,EAAE,QAAQ,CAAC,MAAI,EAAE;AAAE,YAAM,IAAI,MAAM,uCAAuC,wCAAwC;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAI,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAG,IAAI,IAAI,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC,EAAE;AAAO,YAAM,IAAI,MAAM,2CAA2C,EAAE,CAAC,gEAAgE;AAAE,MAAE,CAAC,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,CAAC;AAAE,SAAM,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,CAAC;AAAE,EAAAA,IAAE,KAAK,EAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,EAAE,CAAC,CAAC,IAAE;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,CAAC,MAAI,MAAI,EAAE,KAAK,CAAC;AAAE,SAAOA,MAAEA,IAAE,OAAO,OAAG,MAAI,EAAE,GAAE,EAAC,oBAAmBA,KAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,EAAE;AAAM,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,QAAO,EAAE;AAAE,QAAE,EAAE,CAAC,EAAE,CAAC,CAAC,MAAI,SAAO,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,MAAI,EAAE,CAAC,GAAE,MAAI,sBAAsB,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,aAAa,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,CAAC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,IAAE,WAAS,KAAGA,IAAE,KAAK,EAAE,GAAE,IAAE,EAAE,SAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,QAAE,QAAQ,CAAC,MAAI,OAAK,EAAE,CAAC,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,SAAM,EAAC,MAAKA,KAAE,OAAM,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,MAAM,CAAC,GAAEA,QAAI,MAAIA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,KAAC,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,QAAQ,CAAC,MAAI,MAAI,MAAI,OAAKA,IAAE,KAAK,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,OAAO,KAAG;AAAS,MAAE,EAAE,MAAMA,GAAC,IAAE,MAAI,GAAE,MAAI,+CAA+C,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,MAAMA,GAAC,IAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,OAAK,MAAI,OAAK,KAAG,IAAG,IAAG,CAAC;AAAE,MAAE,KAAG,GAAE,MAAI,yDAAyD;AAAE,QAAI,IAAE,EAAE,QAAQ,EAAE;AAAE,QAAG,MAAI,IAAG;AAAC,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,MAAMA,GAAC,IAAE;AAAA,IAAC;AAAC,MAAE,EAAE,MAAMA,GAAC,MAAI,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,MAAI,6DAA6D,GAAE,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA,uBACjm1B;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,WAAW,qBAAqB;AAAO;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,WAAW,qBAAqB,QAAQA;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,iDAAiD,SAAS;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,QAAQ,+BAA+B;AAAG;AAAC,SAAS,KAAI;AAAC,SAAM;AAA+G;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAM,2CAA2CA;AAAA,iEAC/c,iBAAiB,kBAAkB;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAM,qCAAqCA,iDAA+C,iBAAiB,iBAAiB;AAAG;AAAC,SAAS,KAAI;AAAC,SAAM;AAA0B;AAAC,SAAS,KAAI;AAAC,SAAM;AAAgC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,cAAc,sBAAsB;AAAsD;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,gBAAgB,SAAS,sBAAsBA;AAAI;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,0BAAyB,MAAI,IAAG,iBAAgB,MAAI,IAAG,+BAA8B,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,OAAG;AAAE,OAAI,KAAG,MAAI,IAAE,GAAEA,MAAE,QAAI,IAAE,GAAG,GAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,CAAC,GAAE,CAACA;AAAG,QAAE,KAAG,MAAI,IAAEA,MAAE,OAAG,IAAE,GAAG,GAAE,IAAE,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC,IAAE,EAAE,KAAKA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI,MAAI,IAAE,CAAC,KAAG,IAAE;AAAG,UAAM,IAAI,MAAM,sCAAsC,MAAM,eAAe,GAAG;AAAE,MAAG,IAAE,MAAI,KAAG,IAAG,IAAE;AAAE,UAAM,IAAI,MAAM,cAAc;AAAA,MACvkC,KAAK;AAAE,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,cAAc,0CAA0CA,OAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,WAAW,OAAO,EAAE,MAAM,CAAC,sCAAsC,OAAO,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAE,MAAMA,GAAC,GAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,SAAM,EAAC,WAAU,GAAE,WAAU,GAAE,WAAU,GAAE,SAAQ,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAC,WAAO,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,UAAM,IAAI,MAAM,4DAA4D,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,yBAAwB,MAAI,IAAG,yBAAwB,MAAI,IAAG,yBAAwB,MAAI,IAAG,WAAU,MAAI,GAAE,CAAC;AAAE,GAAG;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,6BAA4B,MAAI,OAAG,OAAG;AAAC,OAAG,QAAQ,KAAK,+OAA+O;AAAC,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,eAAa,CAAC,IAAE,gBAAe,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,WAAS,EAAE,IAAE,YAAW,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,gBAAc,EAAE,IAAE,iBAAgB,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,mBAAiB,GAAG,IAAE,oBAAmB,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,kBAAgB,GAAG,IAAE,mBAAkB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,iBAAe,GAAG,IAAE,kBAAiB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,oBAAkB,GAAG,IAAE,qBAAoB,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,kBAAgB,GAAG,IAAE,mBAAkB,EAAE,EAAE,iBAAe,GAAG,IAAE,kBAAiB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,gBAAc,GAAG,IAAE;AAAe,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,MAAI;AAAE,GAAC,SAASA,KAAE;AAAC,IAAAA,IAAEA,IAAE,SAAO,CAAC,IAAE,UAASA,IAAEA,IAAE,KAAG,CAAC,IAAE,MAAKA,IAAEA,IAAE,KAAG,CAAC,IAAE;AAAA,EAAI,GAAG,IAAE,EAAE,4BAA0B,EAAE,0BAAwB,CAAC,EAAE;AAAC,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,UAAS,GAAE,UAAS,UAAS,QAAO,CAAC,GAAE,OAAM,CAAC,GAAE,gBAAe,EAAC;AAAE,KAAG,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,YAAY,CAAC;AAAE,MAAG,KAAG,EAAE,oBAAkB,QAAO;AAAC,QAAI,IAAE,EAAE,iBAAgB,IAAE,EAAE,kBAAgB,IAAE,SAAO,EAAE,kBAAgB,SAAO,IAAE,IAAE,EAAE;AAAc,QAAG,EAAE,SAAO;AAAS,aAAO,GAAG,EAAE,WAAW,EAAE,eAAe,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAG,EAAE,SAAO;AAAU,aAAO,EAAE,WAAW,MAAM,GAAE,CAAC,EAAE,IAAI,OAAG,GAAG,GAAEA,KAAE,GAAE,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,WAAW,MAAM,CAAC,EAAE,CAAC,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS;AAAE,WAAO,EAAE,SAAO,WAAS,EAAE,CAAC,IAAE,EAAE,cAAc,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,WAAW,CAAC;AAAE,SAAO,KAAG,EAAE;AAAK;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,yBAAyB,CAAC;AAAE,QAAG,KAAG;AAAK,aAAO;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,kBAAkB,KAAK,OAAG,CAAC,CAAC,EAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,SAAO,MAAI,SAAO,EAAE,GAAG,GAAE,CAAC,CAAC,EAAE,CAAC,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,GAAG,GAAEA,IAAE,gBAAgB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAACA,KAAE,GAAE,CAAC,IAAE,GAAG,CAAC;AAAE,SAAM,CAAC,GAAGA,KAAE,KAAG,EAAE,gBAAgB,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE,GAAG,KAAK,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,GAAG;AAAE,MAAG,EAAE,WAAS;AAAE,WAAM,CAAC,GAAE,GAAE,MAAM;AAAE,MAAIA,MAAE,EAAE,CAAC,GAAE,IAAE,EAAE,WAAS,IAAE,EAAE,CAAC,IAAE,QAAO,IAAE,OAAO,EAAE,EAAE,SAAO,CAAC,CAAC;AAAE,SAAM,CAACA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC;AAAE,MAAG,MAAI,YAAW;AAAC,QAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,OAAK,IAAE,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,cAAa,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,cAAa,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,IAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,OAAM,GAAE,EAAC,QAAO,oBAAmB,MAAK,kBAAiB,MAAK,OAAM,GAAE,EAAC,QAAO,4BAA2B,MAAK,0BAAyB,MAAK,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,yBAAwB,MAAK,uBAAsB,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,MAAK,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,WAAU,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,0BAAyB,MAAK,uBAAsB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,MAAK,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,YAAW,MAAK,YAAW,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,iBAAgB,MAAK,iBAAgB,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,oBAAmB,MAAK,iBAAgB,MAAK,QAAO,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,CAAC,GAAE,GAAE,GAAE,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,mBAAkB,MAAK,kBAAiB,MAAK,UAAS,cAAa,IAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,yBAAwB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,8BAA6B,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,CAAC,GAAE,GAAE,GAAE,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,SAAQ,MAAK,aAAY,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,OAAM,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,aAAY,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,0BAAyB,MAAK,sBAAqB,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,0BAAyB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,SAAQ,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,QAAO,GAAE,EAAC,UAAS,YAAW,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,KAAI,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,KAAI,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,WAAU,MAAK,UAAS,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,2BAA0B,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,QAAO,yBAAwB,MAAK,sBAAqB,MAAK,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,cAAa,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,QAAO,yBAAwB,MAAK,sBAAqB,MAAK,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,kBAAiB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,GAAE,EAAC,QAAO,sBAAqB,MAAK,oBAAmB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,yBAAwB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,GAAE,EAAC,QAAO,sBAAqB,MAAK,oBAAmB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,uBAAsB,MAAK,sBAAqB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,8BAA6B,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,gBAAe,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,mBAAkB,MAAK,kBAAiB,MAAK,UAAS,cAAa,IAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,iBAAgB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,cAAa,MAAE,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,gBAAe,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,IAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,oBAAmB,MAAK,mBAAkB,MAAK,QAAO,cAAa,MAAG,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,YAAW,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,OAAM,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,OAAM,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,OAAM,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,IAAG,MAAK,WAAU,MAAK,UAAS,GAAE,EAAC,OAAM,IAAG,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,oBAAmB,MAAK,mBAAkB,MAAK,QAAO,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,OAAM,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,iBAAgB,MAAK,eAAc,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,oBAAmB,MAAK,kBAAiB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,mBAAkB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,mBAAkB,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,oBAAmB,MAAK,mBAAkB,MAAK,QAAO,cAAa,OAAG,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,uBAAsB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,gBAAe,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,4BAA2B,MAAK,0BAAyB,MAAK,OAAM,CAAC,GAAE,SAAQ,CAAC,UAAS,eAAe,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,OAAM,CAAC,GAAE,SAAQ,CAAC,WAAU,UAAS,OAAO,EAAC,GAAE,EAAC,UAAS,0BAAyB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,QAAO,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,UAAS,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,kBAAiB,MAAK,iBAAgB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,kBAAiB,gBAAe,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,MAAK,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,MAAK,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE,GAAEA,MAAE,CAAC,EAAE,OAAO,GAAG,EAAE,IAAI,OAAG,EAAE,IAAI,CAAC;AAAE,SAAK,YAAUA,IAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,QAAQ,IAAE,GAAE,IAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,WAAU;AAAC,WAAO,KAAK,cAAY,KAAK,YAAU,IAAI;AAAA,EAAK;AAAA,EAAC,eAAe,GAAEA,MAAE,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,MAAK,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,KAAK,QAAQ,CAAC,GAAE,EAAE,GAAG,WAAW,aAAa,IAAE,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,IAAE,EAAE,OAAK,UAAQ,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,KAAG,EAAE,SAAO,QAAM,EAAE,MAAM,WAAS,MAAI,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,GAAE,IAAG,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,IAAAA,OAAG,SAAO,IAAE,KAAK,oBAAoBA,IAAE,MAAM,GAAE,IAAE,KAAK,oBAAoBA,IAAE,OAAO;AAAG,QAAI,IAAE,OAAO,KAAK,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,WAAW,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAG,CAAC,GAAE,EAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAG,EAAE,WAAS,MAAK;AAAC,cAAI,IAAE,EAAE,QAAQ,QAAQ,CAAC;AAAE,cAAG,MAAI,IAAG;AAAC,gBAAI,IAAE,GAAG,KAAK;AAAI,cAAE,WAAW,CAAC,IAAE;AAAA,UAAC;AAAA,QAAC;AAAC,UAAE,OAAO,KAAK,CAAC,GAAE,EAAE,SAAS,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,WAAS,IAAE,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,SAAS,WAAS,KAAG,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC,IAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,SAAO,EAAE,eAAa,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,SAAO,IAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAI,EAAE,eAAa,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC,IAAE,IAAE;AAAE,QAAI,IAAE,CAAC;AAAE,MAAE,WAAS,QAAM,EAAE,QAAQ,YAAU,SAAO,IAAE,EAAE,QAAQ,SAAS,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,UAAU,IAAI,IAAE,KAAK,YAAY,CAAC,GAAE,IAAG,CAAC,CAAC;AAAG,QAAI,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,WAAUA,KAAE,WAAU,EAAC;AAAE,WAAO,EAAE,SAAO,MAAI,EAAE,YAAU,IAAG;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,WAAO,OAAO,KAAK,KAAG,CAAC,CAAC,EAAE,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,CAAC,EAAE,IAAI,IAAE,GAAEA,MAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,QAAIA,MAAE,GAAG,EAAE,EAAE,KAAG,KAAK,UAAU,EAAE,EAAE,KAAG,CAAC;AAAE,MAAE,QAAM,SAAO,EAAE,OAAK,CAAC;AAAG,QAAI,IAAE,EAAC,MAAK,EAAE,MAAK,IAAG,EAAE,IAAG,UAASA,IAAE,UAAS,aAAY,EAAE,SAAO,CAAC,GAAG,IAAI,OAAG,EAAE,WAAW,GAAG,IAAE,EAAE,MAAM,CAAC,IAAE,CAAC,GAAE,QAAO,CAAC,GAAE,UAAS,CAAC,GAAE,aAAY,CAAC,GAAE,YAAW,CAAC,GAAE,UAAS,EAAE,MAAK,SAAQA,IAAE,QAAO;AAAE,WAAOA,IAAE,UAAQ,SAAO,EAAE,cAAYA,IAAE,OAAO,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,EAAC,MAAK,EAAE,MAAK,iBAAgB,EAAE,OAAM,eAAc,EAAE,IAAG,GAAE,IAAG,CAAC,CAAC,IAAGA,IAAE,SAAO,SAAO,EAAE,aAAWA,IAAE,MAAM,OAAO,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,MAAK;AAAE,cAAO,EAAE,MAAK;AAAA,QAAC,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAW,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,gBAAc,CAAC,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAW,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAO,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAQ,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAU,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAQ,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAU,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAO,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAA,QAAS,KAAI;AAAU;AAAA,QAAM;AAAQ,gBAAM,IAAI,MAAM,2BAA2B,EAAE,gBAAgB,EAAE,IAAI;AAAA,MAAC;AAAC,aAAO,EAAE,EAAE,IAAI,IAAE,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE;AAAA,IAAC,GAAE,CAAC,CAAC,IAAG;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,IAAAA,OAAG,SAAO,IAAEA,IAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,KAAK,QAAQ,CAAC,GAAE,EAAE,OAAK,WAAS,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,GAAE,IAAG,CAAC,CAAC;AAAG,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,UAAU,SAAS,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,EAAE,IAAI,GAAE,IAAE,EAAC,MAAK,GAAE,IAAG,eAAc,QAAO,CAAC,GAAE,YAAW,CAAC,GAAE,UAAS,SAAQ,aAAY,CAAC,GAAE,YAAW,EAAC,OAAM,EAAC,OAAM,GAAG,EAAE,IAAI,GAAE,MAAK,QAAO,EAAC,GAAE,UAAS,CAAC,EAAC;AAAE,QAAE,eAAa,EAAE,MAAK,EAAE,KAAK,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,WAAW,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAG,CAAC,GAAE,EAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAG,EAAE,WAAS,MAAK;AAAC,cAAI,IAAE,EAAE,QAAQ,QAAQ,CAAC;AAAE,cAAG,MAAI,IAAG;AAAC,gBAAI,IAAE,GAAG,KAAK;AAAI,cAAE,WAAW,CAAC,IAAE;AAAA,UAAC;AAAA,QAAC;AAAC,UAAE,OAAO,KAAK,CAAC,GAAE,EAAE,SAAS,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,EAAE;AAAI,MAAE,UAAU,UAAU,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,SAAO,EAAE,gBAAc,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC;AAAE,QAAI,IAAE,KAAK,mBAAmB,CAAC;AAAE,WAAM,EAAC,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,WAAU,EAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,WAAM,EAAC,YAAW,EAAE,UAAU,MAAK,QAAO,EAAE,UAAU,SAAS,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,IAAI,IAAE,KAAK,mBAAmB,CAAC,GAAEA,MAAG,CAAC,CAAC,GAAE,SAAQ,EAAE,UAAU,UAAU,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,IAAI,IAAE,KAAK,mBAAmB,GAAE,EAAE,GAAG,GAAEA,MAAG,CAAC,CAAC,EAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE;AAAK,WAAOA,OAAG,SAAO,IAAEA,IAAE,CAAC,IAAG,EAAC,MAAK,GAAE,OAAM,EAAE,KAAI;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,EAAE;AAAO,MAAG,OAAO,EAAE,QAAM;AAAY,WAAO,EAAE,KAAK,CAAC;AAAE,MAAG,OAAO,UAAQ;AAAY,WAAO,IAAI,OAAO,GAAE,QAAQ,EAAE,SAAS;AAAE,QAAM,IAAI,MAAM,kFAAkF;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,OAAO,aAAa,MAAM,MAAK,CAAC,IAAE,GAAG,CAAC;AAAE,SAAO,IAAEA,MAAEA,IAAE,YAAY;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,OAAK,GAAG,EAAE,GAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,EAAE,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,KAAG,CAAC,GAAE,IAAE,EAAE,KAAG,OAAK,EAAE,IAAE,EAAE,KAAG,OAAK,EAAE,IAAEA;AAAE,SAAO,OAAO,KAAG,WAAS,IAAE,SAAS,GAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,UAAO,OAAO,KAAG,aAAW,IAAE,GAAG,CAAC,IAAG,GAAE;AAAA,IAAC,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAQ,aAAM;AAAA,IAAU,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAA,IAAQ,KAAK,GAAG;AAAS,aAAM;AAAA,IAAQ,KAAK,GAAG;AAAQ,aAAM;AAAA,IAAO,KAAK,GAAG;AAAU,aAAM;AAAA,IAAU,KAAK,GAAG;AAAU,aAAM;AAAA,IAAS;AAAQ,aAAO;AAAA,EAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,OAAK,EAAE,KAAK,OAAKA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,OAAK,GAAG,EAAE,IAAI,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,OAAK,EAAE,KAAK,KAAK,IAAI,OAAG,GAAG,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,CAAC,EAAE;AAAY,WAAO,EAAE,OAAK,OAAK,EAAE,IAAI,IAAI,OAAG,OAAO,EAAE,QAAM,WAAS,EAAE,OAAK,SAAS,EAAE,MAAK,EAAE,CAAC,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,GAAG,EAAE,KAAK,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,MAAI,EAAE,KAAK,KAAG,EAAE,KAAK,EAAE,SAAO,EAAE,KAAK,IAAE,EAAE,KAAK,MAAI,CAAC,GAAG,IAAI,OAAG,OAAO,KAAG,WAAS,IAAE,SAAS,GAAE,EAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,IAAE,EAAE,KAAK,EAAE,IAAI,OAAG,GAAG,GAAE,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,QAAM,EAAE,KAAK,MAAM,IAAI,OAAG,GAAG,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,IAAE,EAAE,KAAK,IAAEA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,YAAUA,KAAE,KAAK,UAAQ,GAAE,KAAK,SAAO,CAAC,GAAE,KAAK,QAAM,CAAC,GAAE,KAAK,SAAO,EAAE,WAAW,IAAI,OAAG,KAAK,SAAS,CAAC,CAAC,GAAE,EAAE,YAAU,SAAO,KAAK,QAAM,OAAO,KAAK,EAAE,QAAQ,EAAE,OAAO,CAAC,GAAE,OAAK,EAAE,CAAC,IAAE,KAAK,QAAQ,CAAC,GAAE,IAAG,CAAC,CAAC;AAAA,EAAE;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,GAAE,KAAK,WAAU,KAAK,OAAO;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,KAAK,SAAS,CAAC;AAAE,QAAG,EAAE,UAAQ;AAAK,aAAO,GAAG,GAAE,KAAK,WAAU,KAAK,OAAO;AAAE,QAAG,EAAE,KAAG,QAAM,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,SAAO;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,QAAM;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,QAAM,MAAK;AAAC,UAAG,EAAE,KAAK,KAAG,QAAM,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,SAAO;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,QAAM;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAA,IAAC;AAAC,WAAOA;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,WAAU,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,gBAAe,MAAI,IAAG,UAAS,MAAI,IAAG,kBAAiB,MAAI,IAAG,eAAc,MAAI,IAAG,aAAY,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,eAAc,MAAI,IAAG,cAAa,MAAI,IAAG,iBAAgB,MAAI,IAAG,MAAK,MAAI,IAAG,YAAW,MAAI,IAAG,KAAI,MAAI,IAAG,UAAS,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,qBAAoB,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,eAAc,MAAI,IAAG,KAAI,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,aAAY,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,WAAU,MAAI,IAAG,MAAK,MAAI,IAAG,WAAU,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,4BAA2B,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,QAAO,MAAI,IAAG,YAAW,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,mBAAkB,MAAI,IAAG,SAAQ,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,eAAc,MAAI,IAAG,KAAI,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,IAAG,MAAI,GAAE,cAAa,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,sBAAqB,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,sBAAqB,MAAI,IAAG,eAAc,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,YAAW,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,GAAE,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,QAAO,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,MAAK,MAAI,IAAG,iBAAgB,MAAI,IAAG,gBAAe,MAAI,IAAG,SAAQ,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,UAAS,MAAI,IAAG,gBAAe,MAAI,IAAG,QAAO,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,mBAAkB,MAAI,IAAG,SAAQ,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,WAAU,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,IAAG,oBAAmB,MAAI,IAAG,SAAQ,MAAI,IAAG,YAAW,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,WAAU,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAU,KAAI;AAAA,IAAQ,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAU,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAoB,aAAM,CAAC,EAAE,kBAAkB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAM,KAAI;AAAa,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAc,aAAM,CAAC,EAAE,YAAY,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,MAAG,EAAE,OAAO,KAAG,YAAU,OAAO,KAAG,WAAU;AAAC,MAAE,OAAO,EAAE,WAAS,EAAE,QAAO,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAE,OAAO,IAAE,KAAG,IAAE,KAAG,MAAI,GAAE,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,EAAE,OAAO,KAAG,YAAU,EAAE,KAAK,OAAG,IAAE,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,CAAC,GAAG,CAAC;AAAE,MAAG,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,qFAAqF,GAAG;AAAE,MAAG,KAAG,EAAE,QAAQ,OAAG;AAAC,QAAE,GAAG,EAAE,OAAM,CAAC;AAAA,EAAC,CAAC,GAAE,CAAC,GAAG,CAAC;AAAE,UAAM,IAAI,MAAM,mCAAmC,GAAG;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,OAAO,KAAG;AAAS,WAAO;AAAE,MAAG,OAAO,KAAG;AAAS,WAAO;AAAE,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,oCAAoC,SAAS,GAAG;AAAE,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG,KAAG,KAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,oCAAoC,SAAS,GAAG;AAAE,IAAAA,IAAE,CAAC,IAAE,KAAG,IAAE,IAAE;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,QAAMA,KAAE,KAAK,UAAQ,GAAE,KAAK,eAAa,GAAE,KAAK,yBAAuB,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAE,KAAK,UAAQ,CAAC,GAAE,KAAK,UAAQ,OAAG,KAAK,WAAS,GAAG,CAAC,GAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,SAAS;AAAA,EAAE;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK;AAAA,EAAO;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,QAAQ,QAAQ,CAAAA,QAAG;AAAC,OAAC,KAAG,QAAM,CAAC,EAAE,IAAIA,IAAE,OAAO,EAAE,MAAIA,IAAE,OAAO,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,UAAQ,CAAC,GAAE,KAAK,UAAQ,MAAG,KAAK,SAAS,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,QAAQ;AAAA,EAAM;AAAA,EAAC,KAAK,GAAE;AAAC,QAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B;AAAE,QAAG,IAAE,KAAG,KAAG,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,4BAA4B,yBAAyB,KAAK,KAAK,GAAG;AAAE,QAAIA,MAAE,KAAK,QAAQ,CAAC;AAAE,QAAGA,IAAE;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,8BAA8B,uGAAuG;AAAE,WAAO,KAAK,mBAAiBA,IAAE,UAAQ,OAAIA,IAAE,OAAK,MAAGA,IAAE;AAAA,EAAM;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,EAAE,IAAI,CAAAA,QAAG,KAAK,KAAKA,GAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,QAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B;AAAE,QAAG,IAAE,KAAG,CAAC,KAAK,eAAa,KAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,2BAA2B,+CAA+C,KAAK,SAAS;AAAE,QAAI,IAAE,KAAK,QAAQ,CAAC,KAAG,CAAC;AAAE,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C;AAAA,uCAC9urEA,IAAE,mCAAmC,KAAK,QAAQ;AAAE,QAAG,KAAK,KAAK,MAAI,MAAI,KAAK,gBAAc,QAAM,KAAK,aAAa,WAAS,OAAK,KAAK,eAAaA,IAAE,QAAO,GAAG,KAAK,cAAaA,IAAE,OAAM,eAAe,KAAK,8CAA8C,IAAI,GAAE,EAAE;AAAK,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C,sCAAsC;AAAE,QAAG,EAAE;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C,yCAAyC;AAAE,MAAE,SAAOA,KAAE,GAAGA,GAAC,GAAE,EAAE,UAAQ,MAAG,KAAK,QAAQ,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,QAAG,EAAE,WAASA,IAAE;AAAO,YAAM,IAAI,MAAM,eAAe,KAAK,kEAAkE,EAAE,2CAA2CA,IAAE,SAAS;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI,KAAK,MAAM,GAAEA,IAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,OAAGA,QAAI,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,KAAG;AAAE,QAAG;AAAE,UAAE,EAAE,MAAM,GAAE,KAAK,KAAK,CAAC;AAAA,SAAM;AAAC,UAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,GAAE;AAAI,UAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,WAAS;AAAE,aAAO,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC;AAAE,QAAI,IAAE,KAAK,SAAS,CAAC;AAAE,WAAO,GAAG,KAAK,cAAa,EAAE,CAAC,EAAE,OAAM,8BAA8B,GAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAG,MAAI,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoC,GAAG;AAAE,QAAG,KAAK,KAAK,MAAI;AAAE,aAAO,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC;AAAE,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,GAAE;AAAI,MAAAA,IAAE,KAAK,CAAC;AAAE,QAAI,IAAE,KAAK,SAASA,GAAC;AAAE,WAAO,GAAG,KAAK,cAAa,EAAE,CAAC,EAAE,OAAM,mDAAmD,KAAK,wCAAwC,EAAE,CAAC,EAAE,QAAQ,GAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,IAAE,OAAO;AAAE,QAAG,EAAE,WAASA,IAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,IAAE,MAAM,CAAC,GAAG;AAAE,QAAI,IAAE,KAAK,IAAI,GAAG,CAAC;AAAE,QAAG,CAAC,KAAK,eAAa,KAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU;AAAE,SAAK,UAAU,GAAE,GAAGA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,IAAE,OAAO;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,IAAI,QAAI,KAAG,GAAE,EAAE;AAAE,QAAG,MAAIA,IAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM;AAAA;AAAA,UAE3pE,6BAA6BA,IAAE,OAAO;AAAE,QAAG,CAAC,KAAK,eAAa,EAAE,WAAS,KAAK;AAAQ,YAAM,IAAI,MAAM,2DAA2D,KAAK,eAAe,EAAE,sEAAsE;AAAE,QAAI,IAAE,MAAI,IAAE,IAAEA,IAAE,OAAK,GAAE,IAAE,CAAC;AAAE,OAAG,MAAI;AAAC,MAAAA,MAAE,EAAEA,KAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,YAAI,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,GAAGA,KAAE,GAAE,CAAC,GAAE,KAAK,YAAY;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE;AAAE,SAAK,UAAU,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,SAAK,UAAQ,GAAE,KAAK,eAAaA,KAAE,KAAK,eAAa,GAAE,KAAG,QAAM,EAAE,QAAQ,OAAG;AAAC,UAAG,MAAI,EAAE;AAAM,cAAM,IAAI,MAAM,mCAAmC,wBAAwB,EAAE,OAAO;AAAE,SAAGA,KAAE,EAAE,OAAM,6BAA6B,GAAE,GAAG,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,WAAS,GAAG,CAAC,GAAE,KAAK,iBAAe,GAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,SAAS;AAAA,EAAE;AAAA,EAAC,OAAM;AAAC,WAAO,IAAI,GAAG,CAAC,GAAG,KAAK,OAAO,GAAE,KAAK,cAAa,KAAK,YAAY;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,QAAQ,QAAQ,CAAAA,QAAG;AAAC,OAAC,KAAG,QAAM,CAAC,EAAE,IAAIA,IAAE,EAAE,MAAIA,IAAE,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,QAAQ,SAAO,GAAE,KAAK,SAAS,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,QAAQ;AAAA,EAAM;AAAA,EAAC,MAAM,GAAEA,KAAE,IAAE,IAAG;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,QAAG,MAAI,MAAI,KAAK,QAAQ,WAAS;AAAE,YAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB;AAAE,OAAG,GAAE,KAAK,cAAa,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,KAAK,QAAQ,IAAI,OAAG,EAAE,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,QAAG,KAAK,KAAK,MAAI;AAAE,YAAM,IAAI,MAAM,mCAAmC;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI;AAAE,WAAO,EAAE,OAAK,OAAG,GAAG,EAAE,OAAM,GAAE,6BAA6B,GAAE,EAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmC,EAAE,4BAA4B,KAAK,cAAc;AAAE,QAAG,GAAG,EAAE,OAAM,KAAK,cAAa,6BAA6B,GAAE,KAAK,mBAAiB,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,0CAA0C;AAAE,OAAG,CAAC,GAAE,KAAK,QAAQ,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0DAA0D,GAAG;AAAE,QAAG,KAAK,mBAAiB,MAAI,IAAE,KAAK;AAAe,YAAM,IAAI,MAAM,+BAA+B,8BAA8B,KAAK,iBAAiB;AAAE,QAAIA,MAAE,IAAI,GAAG,CAAC,GAAE,KAAK,cAAa,KAAK,cAAa,KAAK,cAAc;AAAE,IAAAA,IAAE,QAAQ,SAAO;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,IAAI,KAAK,QAAQ,QAAO,CAAC,GAAE,EAAE;AAAE,MAAAA,IAAE,QAAQ,CAAC,IAAE,KAAK,QAAQ,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE,GAAE;AAAC,QAAG,MAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc;AAAE,QAAG,IAAE,KAAG,IAAE,KAAK,QAAQ;AAAO,YAAM,IAAI,MAAM,4BAA4B,oBAAoB,KAAK,QAAQ,kBAAkB;AAAE,QAAG,KAAK,QAAQ,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,oBAAoB,YAAY;AAAE,OAAG,KAAK,QAAQ,CAAC,EAAE,OAAMA,KAAE,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQA,GAAC;AAAE,WAAO,EAAE,KAAK,QAAQ,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,IAAE,4BAA4B,KAAK,cAAc;AAAE,QAAG,IAAE,KAAG,KAAK,mBAAiB,MAAI,KAAG,KAAK;AAAe,YAAM,IAAI,MAAM,yBAAyB,wBAAwB,KAAK,0BAA0B;AAAE,OAAG,KAAK,cAAaA,IAAE,OAAM,6BAA6B,GAAE,GAAGA,GAAC,GAAE,KAAK,QAAQ,CAAC,KAAG,SAAO,KAAK,QAAQ,CAAC,EAAE,OAAK,QAAI,KAAK,QAAQ,CAAC,IAAEA;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE,GAAE;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,OAAG,KAAK,cAAa,GAAE,6BAA6B,GAAE,IAAE,EAAE,MAAM,GAAE,KAAK,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC;AAAE,WAAO,EAAE,WAAS,IAAE,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,GAAG,MAAI;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,QAAQ,CAAC,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAG,KAAG,MAAI,KAAK;AAAa,YAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2C,GAAG;AAAE,OAAG,KAAK,cAAaA,KAAE,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQA,GAAC;AAAE,WAAO,KAAK,KAAK,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,GAAG,MAAI;AAAC,UAAI,IAAE,KAAK,QAAQ,IAAI,OAAG,EAAE,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE;AAAM,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQA;AAAE,UAAM,IAAI,MAAM,mCAAmC,EAAE,4BAA4BA,KAAG;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM,CAAC;AAAE,KAAG,GAAE,GAAE,6BAA6B;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAI,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,cAAc,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,KAAK,IAAI,GAAG,CAAC;AAAE,MAAG,KAAG,QAAM,MAAI,MAAI,KAAG;AAAE,UAAM,IAAI,MAAM,mCAAmC,UAAU,IAAI;AAAE,MAAI,IAAE,IAAI,GAAG,CAAC,GAAEA,KAAE,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,QAAQ,GAAE,EAAE,CAAC,CAAC;AAAA,EAAC,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,IAAI,QAAI,KAAG,GAAE,EAAE;AAAE,MAAG,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM;AAAA;AAAA,UAEj6J,6BAA6B,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM,CAAC,GAAE,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,MAAI,IAAE,IAAE,EAAE,OAAK,GAAE,IAAE,GAAG,MAAI;AAAC,QAAI,IAAE,CAAC;AAAE,QAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,QAAQ,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAEA,KAAE,EAAE,OAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,QAAQ,GAAE,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,OAAM,GAAE,GAAEA,QAAI;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAK,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,cAAO,MAAM,EAAE,KAAK,GAAG,CAAC,IAAEA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa,IAAEA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAQ,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE,GAAE,IAAE,MAAM,EAAE,CAAC,EAAE,KAAK;AAAE,QAAE,QAAQ,OAAG;AAAC,SAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,MAAC,CAAC;AAAE,UAAI,IAAE;AAAE,aAAK,EAAE,CAAC,KAAG;AAAC,YAAI,IAAE;AAAE,YAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAE,YAAI,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE;AAAE,UAAE,QAAQ,OAAG;AAAC,WAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,QAAC,CAAC;AAAE,YAAI,IAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAE,YAAE,MAAM,EAAE,CAAC,EAAE,KAAK,GAAE,EAAE,QAAQ,OAAG;AAAC,WAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,SAAO,IAAE,GAAG,CAAC,KAAI,MAAM,EAAE,KAAK,GAAG,CAAC,IAAE,CAAC,QAAO,CAAC,IAAE,CAAC,GAAE,MAAM;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,WAAW,KAAK,OAAG,GAAG,GAAE,GAAEA,GAAC,MAAI,MAAM;AAAE,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,eAAM,CAAC,GAAG,CAAC,CAAC;AAAA,MAAC;AAAC;AAAA,IAAM;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,WAAW,CAAC,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,UAAU,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,cAAc,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,0BAAyB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,eAAe,CAAC,GAAE,CAAC,EAAE,UAAS,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,eAAe,EAAE,EAAE,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,eAAe,EAAE,EAAE,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,wBAAuB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAM,CAAC,GAAG,EAAE,KAAK,GAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,cAAc,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,QAAQ,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAoB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE;AAAE,QAAE,OAAK,sBAAoB,IAAE,gBAAc,IAAE;AAAiB,UAAI,IAAE,EAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAK,sBAAoB,KAAG,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,OAAO,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,MAAM,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,wBAAuB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAmB,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAO,EAAE,SAAS,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAM,CAAC,GAAG,EAAE,KAAK,GAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE,EAAE,OAAO,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAI,WAAU,IAAE,CAAC,GAAE,IAAE,MAAI,SAAQ,IAAE,MAAI,kBAAiB,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,MAAG,GAAE;AAAC,QAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,uGAAuG;AAAE,QAAG,CAAC,KAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,kFAAkF;AAAA,EAAC;AAAC,MAAG;AAAE,UAAM,IAAI,MAAM,sEAAsE;AAAE,MAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,GAAE,IAAE;AAAQ,MAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAG,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,OAAO,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,QAAO,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,SAAQ,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,8BAA6B;AAAC,UAAG,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,gBAAgB,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,QAAO,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,SAAQ,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,gBAAgB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAwB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY;AAAE,aAAM,CAAC,EAAE,gBAAgB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,uBAAsB,GAAE,GAAEA,GAAC,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,EAAE,kBAAkB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,MAAM,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,YAAY,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAuB,aAAM,CAAC,EAAE,qBAAqB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,GAAE,GAAE,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,gBAAgB,GAAE,GAAE,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC;AAAC;AAAC,IAAI,KAAG,OAAM,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAM,EAAE,MAAM,gCAAgC,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAgB,EAAE,cAAc;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,sBAAqB,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAM,EAAE,MAAM,6BAA6B,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAgB,EAAE,YAAY;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,MAAM,uBAAuB,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,KAAK,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,MAAM,GAAE,IAAE,CAAC,MAAM,EAAE,WAAW,CAAC,CAAC;AAAE,aAAO,EAAE,QAAQ,GAAE;AAAA,IAAC;AAAA,IAAC,KAAI;AAAW,aAAO,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAK,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAQ,aAAO,EAAE,EAAE,IAAI;AAAA,IAAE,KAAI;AAAyB,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,KAAG,CAAC;AAAA,IAAE,KAAI;AAAc,aAAM,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW,KAAI;AAAA,IAAe,KAAI,2BAA0B;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAY,aAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,OAAM,OAAO,CAAC;AAAA,IAAE,KAAI;AAAS,aAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,IAAI,OAAG,EAAE,SAAS,EAAE,KAAK,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,MAAK,OAAO,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,MAAK,OAAO,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,cAAQ,KAAK,gGAAgG,GAAE,QAAQ,IAAI,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,gBAAQ,IAAI,MAAM,UAAU,MAAM,KAAK,EAAE,CAAC,EAAE,SAAS,CAAC,EAAE,MAAM,GAAE,CAAC,CAAC;AAAE,aAAM,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,WAAS,GAAE,KAAK,aAAWA,KAAE,KAAK,SAAO,GAAG,CAAC,GAAE,KAAK,YAAU,oBAAI,OAAI,GAAG,KAAK,MAAM;AAAA,EAAC;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,OAAO;AAAA,EAAE;AAAA,EAAC,gBAAe;AAAC,SAAK,UAAU,QAAQ,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,UAAU,MAAM,GAAE,KAAK,OAAO,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,UAAU;AAAA,EAAI;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,KAAK,KAAK,GAAE,OAAO;AAAA,EAAC;AAAA,EAAC,MAAM,OAAO,GAAEA,KAAE;AAAC,SAAK,uBAAuB,GAAEA,GAAC;AAAE,QAAI,IAAE,MAAM,EAAE,KAAK;AAAE,WAAO,KAAK,UAAU,QAAQ,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,UAAU,MAAM,GAAE,GAAG,MAAI;AAAC,UAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE;AAAO,QAAE,OAAO,MAAI,GAAE,MAAI,kDAAkD,8BAA8B,aAAa;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,CAAC,GAAE,KAAK,UAAU,IAAI,GAAE,CAAC;AAAA,MAAC;AAAC,aAAO,KAAK;AAAA,IAAM,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAEA,KAAE;AAAC,SAAK,uBAAuB,GAAEA,GAAC;AAAE,QAAI,IAAE,MAAM,EAAE,KAAK;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAEA,GAAC;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC;AAAC,aAAO,GAAG,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAG,OAAK,IAAEA;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAS,YAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqB,EAAE,OAAO;AAAE,QAAGA,IAAE,UAAQ,KAAK;AAAW,YAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,OAAM,GAAE,GAAEA,KAAE,MAAI;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAY,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,yBAAyB,EAAE,IAAI;AAAE,UAAG,KAAG;AAAK,eAAM,CAAC,CAAC;AAAE;AAAC,YAAI,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,eAAO,EAAE,aAAa,EAAE,MAAK,CAAC,GAAE,CAAC,EAAE,MAAM;AAAA,MAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI;AAAA,IAAoB,KAAI;AAAA,IAAoB,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,iBAAiB,EAAE,EAAE,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,iBAAiB,EAAE,EAAE,EAAE,KAAK,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAiB,EAAE,EAAE,EAAE,WAAW,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,eAAe,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,yBAAwB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,sBAAsB,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,sBAAqB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,cAAc,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,8BAA6B;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,UAAU,GAAE,GAAE,EAAE,YAAY,GAAE,EAAE,YAAY,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAe,aAAM,CAAC,EAAE,aAAa,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAS,KAAI;AAAW,aAAM,CAAC,EAAE,MAAM,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAc,KAAI;AAAA,IAAgB,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,GAAG,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAe,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAI,WAAU,IAAE,MAAI,SAAQ,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC;AAAE,UAAG,GAAE;AAAC,YAAG,KAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,oFAAoF;AAAE,YAAG,CAAC,KAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,+DAA+D;AAAA,MAAC;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,OAAO,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,YAAW,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,YAAW,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAiB,KAAI;AAAmB,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAmB,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,2BAA2B,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAG,EAAC,oBAAmB,GAAE,mBAAkB,EAAC,IAAE,EAAE,aAAa,EAAE,sBAAqB,GAAE,GAAEA,GAAC,GAAE,EAAE,qBAAoB,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAO,EAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAG,EAAC,gBAAe,GAAE,eAAc,EAAC,IAAE,EAAE,YAAY,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAuB,aAAM,CAAC,EAAE,qBAAqB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,uBAAsB,GAAE,GAAEA,GAAC,GAAE,EAAE,qBAAoB,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAW,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,GAAE,CAAC,CAAC;AAAA,IAAE,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,cAAc,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAW,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAO,IAAE,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,EAAE,KAAK,GAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,EAAE,KAAK,GAAE,OAAO,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,KAAG,EAAE,KAAK,CAAC;AAAE,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAO,aAAO,GAAG,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,QAAQ,EAAE,CAAC,CAAC,EAAE,OAAM,IAAE,EAAE,IAAI,OAAG;AAAC,cAAI,IAAE,EAAE,YAAY,EAAE,OAAM,CAAC;AAAE,cAAG,CAAC,KAAG,CAAC,EAAE,YAAY,EAAE,QAAQ,CAAC,EAAE,OAAM,CAAC;AAAE,kBAAM,IAAI,MAAM,wCAAwC;AAAE,iBAAO,IAAE,IAAE,EAAE,QAAQ,GAAE,CAAC;AAAA,QAAC,CAAC;AAAE,eAAM,CAAC,EAAE,MAAM,GAAE,CAAC,CAAC;AAAA,MAAC,CAAC;AAAA,IAAE,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAQ,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,mBAAkB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,MAAM,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,cAAc,GAAE,GAAE,GAAE,EAAE,UAAQ,EAAE,QAAM,IAAE,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,eAAc,GAAE,cAAa,GAAE,mBAAkB,GAAE,iBAAgB,EAAC,IAAE,EAAE,OAAO,oBAAoB,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAG,EAAC,eAAc,GAAE,aAAY,EAAC,IAAE,EAAE,OAAO,cAAc,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAoB,aAAM,CAAC,EAAE,OAAO,kBAAkB,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAmB,aAAM,CAAC,EAAE,OAAO,iBAAiB,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAG,EAAC,QAAO,GAAE,cAAa,EAAC,IAAE,EAAE,OAAO,aAAa,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,0BAAyB,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAG,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE,EAAE,OAAO,YAAY,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAyB,aAAM,CAAC,EAAE,OAAO,uBAAuB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAQ,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAI,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY;AAAE,aAAM,CAAC,EAAE,aAAa,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAc,aAAM,CAAC,EAAE,YAAY,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,MAAK,GAAE,GAAEA,GAAC,GAAE,EAAE,MAAK,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,MAAI,KAAG,CAAC,GAAE,GAAE,MAAI;AAAC,YAAO,EAAE,UAAS;AAAA,MAAC,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,GAAG,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAc,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,GAAG,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAgB,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAY,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAiB,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAS,YAAI,IAAE,GAAG,EAAE,EAAE;AAAE,YAAG,KAAG,EAAE;AAAe,iBAAO,EAAE,eAAe,IAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAE,cAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,MAAE;AAAQ,cAAM,UAAU,eAAe,EAAE,uIAAuI;AAAA,IAAC;AAAA,EAAC,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAO,EAAE,UAAU,CAAC,IAAE,EAAE,KAAK,OAAG,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,CAAC,EAAE,OAAO,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE;AAAC,SAAK,YAAU,GAAE,KAAK,iBAAeA,KAAE,KAAK,gBAAc,GAAE,KAAK,cAAY,GAAE,KAAK,cAAY,EAAC,IAAG,GAAE,WAAU,IAAG,aAAY,EAAC,GAAE,KAAK,WAAS,CAAC,KAAK,WAAW,GAAE,KAAK,SAAO,GAAE,KAAK,0BAA0B;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE;AAAC,WAAM,EAAC,IAAG,GAAE,WAAUA,KAAE,aAAY,EAAC;AAAA,EAAC;AAAA,EAAC,IAAI,eAAe,GAAE;AAAC,SAAK,aAAW,MAAI,KAAK,WAAS,GAAE,KAAK,0BAA0B;AAAA,EAAE;AAAA,EAAC,IAAI,iBAAgB;AAAC,WAAO,KAAK;AAAA,EAAQ;AAAA,EAAC,IAAI,mBAAkB;AAAC,WAAO,KAAK,mBAAmB,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,4BAA2B;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQA,MAAE,GAAEA,MAAE,KAAK,SAAS,SAAO,GAAEA,OAAI;AAAC,UAAI,IAAE,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,SAAOA,GAAC;AAAE,QAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC;AAAA,IAAC;AAAC,MAAE,KAAK,EAAE,GAAE,KAAK,qBAAmB;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAE;AAAC,WAAO,IAAE,EAAE,IAAI,CAAAA,QAAGA,IAAE,OAAK,KAAGA,IAAE,gBAAc,IAAE,KAAG,GAAGA,IAAE,aAAaA,IAAE,aAAa,EAAE,KAAK,GAAG,IAAE;AAAA,EAAE;AAAA,EAAC,WAAW,GAAE;AAAC,SAAK,aAAW,KAAK,UAAS,KAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,QAAO,CAAC,CAAC,GAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC;AAAA,EAAE;AAAA,EAAC,YAAW;AAAC,QAAG,KAAK,YAAU,KAAK,SAAS,SAAO;AAAE,WAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,OAAO,EAAE,GAAE,KAAK,kBAAkB,MAAM;AAAA;AAAO,YAAM,IAAI,MAAM,yCAAyC;AAAA,EAAC;AAAA,EAAC,gBAAe;AAAC,QAAG,KAAK,YAAU,KAAK,SAAS,SAAO,GAAE;AAAC,WAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK;AAAS,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS,KAAK,SAAS,SAAO,CAAC,CAAC;AAAE,QAAE,eAAa,GAAE,EAAE,KAAG,KAAK,QAAO,KAAK,SAAS,OAAO,IAAG,GAAE,CAAC,GAAE,KAAK,mBAAmB,OAAO,GAAE,GAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC;AAAA,IAAC;AAAM,YAAM,IAAI,MAAM,uDAAuD;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,UAAU,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,SAAK,eAAe,EAAE,EAAE,IAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,WAAO,KAAK,eAAe,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,cAAc,EAAE,EAAE,IAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,WAAO,KAAK,cAAc,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,aAAQA,OAAK,KAAK;AAAe,WAAK,eAAeA,GAAC,EAAE,cAAc,CAAC;AAAE,aAAQA,OAAK,KAAK;AAAc,WAAK,cAAcA,GAAC,EAAE,cAAc,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,oBAAI,OAAI,IAAE,CAAC,GAAE,IAAE,MAAK,IAAE,MAAK,IAAE,oBAAI,OAAI,IAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,EAAE,IAAI,OAAG,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,CAAC,GAAG,CAAC;AAAE,SAAK,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI;AAAE,SAAI,GAAG,CAAC,KAAG,GAAG,CAAC,KAAG,GAAG,CAAC,MAAI,KAAG,SAAO,IAAE,GAAE,IAAE,EAAE,SAAS,IAAI,OAAG,EAAE,IAAI,EAAE,OAAO,OAAG,EAAE,IAAI,CAAC,CAAC,IAAG,EAAE,IAAI,EAAE,IAAI,GAAEA,IAAE,EAAE,IAAI,KAAG,QAAM,EAAE,QAAQ,EAAE,IAAI,MAAI,MAAI,EAAE,QAAQ,EAAE,IAAI,MAAI,IAAG;AAAC,UAAG,EAAE,OAAO,WAAS,GAAE;AAAC,UAAE,KAAK,EAAE,IAAI;AAAE;AAAA,MAAQ;AAAC,QAAE,OAAO,QAAQ,OAAG;AAAC,UAAE,IAAI,EAAE,IAAI,MAAI,EAAE,IAAI,EAAE,IAAI,GAAE,EAAE,KAAK,CAAC;AAAA,MAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,GAAE,SAAQ,GAAE,WAAU,GAAE,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,EAAC,WAAU,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,CAAC,GAAE,IAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE;AAAU,IAAE,QAAQ,OAAG;AAAC,MAAE,IAAI,EAAE,IAAI,KAAG,EAAE,KAAK,CAAC;AAAA,EAAC,CAAC,GAAE,EAAE,QAAQ,QAAQ,OAAG;AAAC,MAAE,IAAI,EAAE,IAAI,KAAG,EAAE,KAAK,CAAC;AAAA,EAAC,CAAC,GAAE,KAAG,QAAM,EAAE,QAAQ,OAAG;AAAC,MAAE,IAAI,EAAE,IAAI,KAAG,EAAE,KAAK,CAAC;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,oBAAI,OAAI,IAAE,CAAC;AAAE,SAAK,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI;AAAE,MAAE,IAAI,EAAE,IAAI,GAAE,EAAE,EAAE,IAAI,KAAG,EAAE,KAAK,CAAC,GAAE,EAAE,SAAS,QAAQ,OAAG;AAAC,OAAC,EAAE,IAAI,EAAE,IAAI,KAAG,EAAE,IAAI,EAAE,IAAI,KAAG,EAAE,OAAO,MAAM,OAAG,EAAE,IAAI,EAAE,IAAI,CAAC,KAAG,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,CAAC,UAAS,SAAQ,SAAQ,QAAO,iBAAgB,eAAc,kBAAiB,MAAK,OAAO;AAAnG,IAAqG,KAAG,CAAC,uBAAsB,uBAAsB,uBAAsB,OAAO;AAAlL,IAAoL,KAAG,CAAC,aAAY,eAAc,qBAAoB,uBAAsB,mBAAkB,qBAAoB,mBAAkB,mBAAmB;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,QAAQ,EAAE,EAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,QAAQ,EAAE,EAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,QAAQ,EAAE,EAAE,KAAG;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,QAAM,GAAE,KAAK,SAAOA,KAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,aAAW,CAAC,GAAE,KAAK,YAAU,KAAI,KAAK,aAAW,CAAC,GAAE,KAAK,uBAAqB,CAAC,GAAE,KAAK,0BAAwB,OAAG,KAAK,WAAS,EAAE,SAAQ,KAAK,UAAQ,EAAE,QAAO,KAAK,aAAW,EAAE,WAAU,KAAK,aAAW,EAAE,WAAU,KAAK,aAAW,EAAE,WAAU,EAAE,aAAW,QAAM,OAAO,KAAK,EAAE,SAAS,EAAE,QAAQ,OAAG;AAAC,WAAK,qBAAqB,CAAC,IAAE,IAAI,GAAG,EAAE,UAAU,CAAC,GAAE,IAAI;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,YAAU,KAAK;AAAA,EAAU;AAAA,EAAC,IAAI,sBAAqB;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,sBAAoB,KAAK;AAAA,EAAoB;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,YAAU,KAAK;AAAA,EAAU;AAAA,EAAC,IAAI,UAAU,GAAE;AAAC,QAAIA,MAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,EAAE,IAAI,OAAG,EAAE,EAAE,CAAC;AAAE,SAAK,aAAW,CAAC,EAAE,OAAO,GAAGA,GAAC,GAAE,KAAK,aAAW;AAAA,EAAC;AAAA,EAAC,IAAI,gBAAgB,GAAE;AAAC,SAAK,mBAAiB;AAAA,EAAC;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK,QAAQ,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,QAAO,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,OAAM,EAAE;AAAA,EAAC;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,QAAO,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,OAAM,EAAE;AAAA,EAAC;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,QAAQ,IAAI,OAAG,EAAE,gBAAc,EAAE,IAAI;AAAA,EAAC;AAAA,EAAC,IAAI,cAAa;AAAC,WAAO,KAAK,SAAS,IAAI,OAAG;AAAC,UAAIA,MAAE,EAAE,gBAAc,EAAE;AAAK,aAAO,EAAE,gBAAc,GAAGA,OAAK,EAAE,kBAAgBA;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAAC,GAAEA,SAAK,EAAEA,GAAC,IAAE,KAAK,WAAWA,GAAC,EAAE,WAAU,IAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,EAAE,KAAK,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,IAAI,EAAE,KAAK;AAAE,WAAO,EAAE,KAAK,KAAK,SAAS,IAAE,OAAK,EAAE,KAAK,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,GAAG,GAAEA,KAAE,KAAK,WAAU,KAAK,UAAU,GAAE,EAAC,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC,IAAE;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,qCAAqC,EAAE,oCAAoC,EAAE,8GAA8G,IAAI;AAAE,QAAG,EAAE,SAAO,GAAE;AAAC,UAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,IAAI,GAAE,IAAE,OAAO,KAAK,CAAC;AAAE,YAAM,IAAI,MAAM,+BAA+B,gCAAgC,sCAAsC,IAAI;AAAA,IAAC;AAAC,WAAO,GAAG,KAAK,OAAM,KAAK,WAAU,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAG,KAAG;AAAK,aAAO;AAAK,QAAIA,MAAE,EAAE,MAAM;AAAE,WAAO,GAAGA,GAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,WAAO,IAAE,EAAE,IAAI,OAAG,KAAK,mBAAmB,CAAC,CAAC,IAAE;AAAA,EAAI;AAAA,EAAC,eAAe,GAAE;AAAC,WAAO,OAAO,YAAY,OAAO,QAAQ,CAAC,EAAE,IAAI,CAAC,CAACA,KAAE,CAAC,MAAI,CAACA,KAAE,KAAK,gBAAgB,CAAC,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,SAAK,2BAA2B,GAAE,IAAE,KAAK,UAAU,CAAC;AAAE,QAAI,IAAE,OAAO,KAAK,CAAC,EAAE,KAAK;AAAE,SAAK,YAAY,CAAC,GAAE,KAAK,uBAAuB,CAAC,GAAEA,MAAE,KAAK,WAAWA,GAAC,GAAE,KAAK,aAAaA,GAAC;AAAE,QAAI,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,CAAC,CAAC;AAAE,MAAE,WAAS,MAAI,IAAE,KAAK;AAAU,QAAI,IAAE,KAAK,kBAAkB,GAAE,CAAC,GAAE,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,SAAG,SAAO,IAAE,KAAK,QAAQ,GAAE,CAAC,GAAE,KAAK,YAAY,IAAI,GAAE,CAAC;AAAG,QAAG;AAAC,WAAK,0BAAwB,EAAE,EAAE,QAAQ,2BAA2B;AAAA,IAAC,SAAO,GAAN;AAAS,WAAK,0BAAwB,OAAG,QAAQ,KAAK,EAAE,OAAO;AAAA,IAAC;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,IAAI,GAAG,KAAK,WAAU,GAAE,GAAE,KAAK,mBAAmB,GAAE,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS;AAAE,WAAK,4BAA0B,KAAK,mBAAiB,KAAK,eAAe,KAAK,SAAS,IAAG,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,YAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC;AAAA,MAAE,CAAC;AAAE,UAAI,IAAE,KAAK,mBAAmB,CAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC;AAAE,YAAG,CAAC,EAAE,EAAE,IAAI,GAAE;AAAC,cAAI,IAAE,GAAG,GAAE,GAAE,GAAE,KAAK,gBAAgB;AAAE,cAAG,EAAE,UAAU,CAAC;AAAE,kBAAM,IAAI,MAAM,4BAA4B,EAAE,kEAAkE;AAAE,YAAE,EAAE,IAAI,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,EAAE,IAAI,IAAE,KAAK,gBAAgB,CAAC,IAAG,KAAK,uBAAuB,EAAE,MAAK,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,aAAO,KAAK,UAAQ,QAAM,EAAE,QAAQ,CAAC,GAAEA,IAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAIA,MAAE,CAAC,EAAE,OAAO,MAAM,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,IAAI,OAAG,EAAE,EAAE,CAAC,CAAC;AAAE,WAAO,IAAI,IAAIA,GAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,IAAAA,IAAE,aAAW,aAAW,EAAE,QAAQ,CAAC,MAAI,OAAK,EAAE,CAAC,EAAE,QAAQ,OAAG;AAAC,WAAG,SAAO,EAAE,EAAE,EAAE,KAAG,EAAE,EAAE,EAAE,KAAG,KAAGA,IAAE,SAAS;AAAA,IAAO,CAAC,GAAEA,IAAE,OAAO,QAAQ,OAAG;AAAC,UAAG,EAAE,aAAW,WAAU;AAAC,YAAI,IAAE,GAAG,EAAE,MAAK,GAAE,CAAC;AAAE,aAAG,QAAM,EAAE,QAAQ,OAAG;AAAC,cAAG,KAAG,CAAC,EAAE,QAAM,CAAC,EAAE,IAAI,EAAE,EAAE,GAAE;AAAC,gBAAI,IAAE,EAAE,EAAE,EAAE;AAAE,kBAAI,KAAG,EAAE,QAAQ,GAAE,OAAO,EAAE,EAAE,EAAE,KAAG,KAAG,QAAM,EAAE,EAAE,EAAE;AAAA,UAAG;AAAA,QAAC,CAAC;AAAA,MAAC;AAAA,IAAC,CAAC;AAAA,EAAE;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,WAAO,KAAK,cAAc,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,qBAAmB,OAAO,OAAO,KAAK,gBAAgB,EAAE,QAAQ,OAAG;AAAC,eAAQA,OAAK;AAAE,QAAAA,OAAG,CAACA,IAAE,cAAYA,IAAE,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,mBAAiB;AAAA,EAAK;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK;AAAA,EAAgB;AAAA,EAAC,MAAM,cAAc,GAAEA,KAAE,IAAE,OAAG,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE;AAAC,SAAK,2BAA2B,GAAE,MAAI,IAAE,KAAK,UAAU,CAAC,GAAE,KAAK,YAAY,CAAC,GAAE,KAAK,uBAAuB,CAAC,GAAEA,MAAE,KAAK,WAAWA,GAAC,GAAE,KAAK,aAAaA,GAAC;AAAG,QAAG;AAAC,WAAK,0BAAwB,EAAE,EAAE,QAAQ,2BAA2B;AAAA,IAAC,SAAO,GAAN;AAAS,WAAK,0BAAwB,OAAG,QAAQ,KAAK,EAAE,OAAO;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,KAAK,WAAU,GAAE,GAAE,KAAK,mBAAmB;AAAE,SAAK,4BAA0B,KAAK,mBAAiB,KAAK,eAAe,KAAK,SAAS;AAAG,QAAI,IAAE,MAAM,KAAK,uBAAuB,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE,GAAE,IAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,EAAE,EAAE,GAAE,IAAE,oBAAI,IAAI,CAAC,GAAG,GAAE,GAAG,GAAE,GAAG,KAAK,SAAS,CAAC;AAAE,WAAO,OAAO,OAAO,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAE,QAAQ,OAAG;AAAC,aAAG,CAAC,EAAE,cAAY,CAAC,EAAE,IAAI,EAAE,EAAE,KAAG,EAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,UAAQ,QAAM,EAAE,QAAQ,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,MAAM,qBAAqB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,GAAE,OAAK,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,IAAE,GAAE,IAAG,CAAC,CAAC;AAAE,WAAO,KAAK,cAAc,GAAE,KAAK,aAAY,MAAGA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,uBAAuB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,OAAO,KAAK,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,CAAC,CAAC;AAAE,MAAE,WAAS,MAAI,IAAE,KAAK;AAAU,QAAG,EAAC,WAAU,GAAE,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC,IAAE,GAAG,GAAE,GAAE,KAAK,WAAU,KAAK,UAAU,GAAE,IAAE,CAAC,GAAG,GAAE,GAAG,KAAK,MAAM,SAAQ,GAAG,KAAK,cAAY,CAAC,CAAC,EAAE,IAAI,QAAI,EAAC,MAAK,GAAE,UAASA,IAAE,eAAc,EAAE,GAAE,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS;AAAE,WAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,CAAC,GAAE,IAAE,KAAK,mBAAmB,CAAC,GAAE,IAAE,CAAC;AAAE,WAAK,EAAE,SAAO,KAAG;AAAC,UAAI,IAAE,KAAK,aAAa,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,YAAM,QAAQ,IAAI,CAAC;AAAA,IAAC;AAAC,SAAG,QAAM,CAAC,KAAG,QAAQ,KAAK,iIAAiI;AAAE,QAAI,IAAE,EAAE,OAAO,OAAG,CAAC,GAAG,CAAC,KAAG,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,CAAC,EAAE,IAAI,OAAG,EAAE,IAAI;AAAE,QAAG,EAAE,SAAO,GAAE;AAAC,UAAI,IAAE;AAAG,YAAM,KAAG,SAAO,IAAE,wFAAwF,OAAM,IAAI,MAAM,+BAA+B,gCAAgC,iDAAiD,OAAO,GAAG;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,WAAKA,IAAE,SAAO,KAAG;AAAC,UAAI,IAAEA,IAAE,IAAI;AAAE,QAAE,iBAAe,EAAE;AAAS,UAAI,IAAE;AAAG,UAAG,EAAE,KAAK,OAAK,WAAS,EAAE,cAAa,EAAE,MAAK,GAAE,CAAC,MAAI,CAAC,CAAC,IAAE,GAAG,EAAE,KAAK,MAAK,CAAC,IAAG,EAAE,EAAE,KAAK,IAAI,KAAG,MAAK;AAAC,YAAI,IAAE,GAAG,EAAE,MAAK,GAAE,GAAE,KAAK,gBAAgB;AAAE,cAAI,CAAC,CAAC,IAAE,GAAG,EAAE,KAAK,MAAK,CAAC;AAAG,YAAI,IAAE,EAAE;AAAe,UAAE,UAAU,CAAC,IAAE,EAAE,KAAK,EAAE,KAAK,QAAI,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC,IAAG,EAAE,iBAAe,GAAE,KAAK,uBAAuB,GAAE,EAAE,MAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC,IAAG,KAAK,uBAAuB,GAAE,EAAE,MAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAE;AAAM,aAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAE,SAAS,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,EAAE,MAAK,CAAC;AAAE,QAAE,CAAC,KAAG,CAAC,EAAE,IAAI,EAAE,IAAI,MAAI,EAAE,OAAK,UAAQ,EAAE,WAAW,KAAK,OAAG,CAAC,CAAC,GAAG,GAAE,GAAE,CAAC,CAAC,MAAI,EAAE,CAAC,IAAE,MAAGA,IAAE,KAAK,EAAC,UAAS,EAAE,gBAAe,MAAK,EAAC,CAAC,KAAG,EAAE,WAAW,MAAM,OAAG,CAAC,CAAC,GAAG,GAAE,GAAE,CAAC,CAAC,MAAI,EAAE,CAAC,IAAE,MAAGA,IAAE,KAAK,EAAC,UAAS,EAAE,gBAAe,MAAK,EAAC,CAAC;AAAA,IAAG,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,KAAK,SAAS,EAAE,QAAQ,OAAG,KAAK,UAAU,CAAC,EAAE,QAAQ,CAAAA,QAAGA,IAAE,QAAQ,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAE;AAAC,WAAO,KAAK,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,UAAI,IAAE,EAAEA,GAAC,GAAE,CAAC,CAAC,IAAE,GAAGA,GAAC,GAAE,IAAE,KAAK,MAAM,MAAM,CAAC;AAAE,UAAG,EAAE,WAAW,SAAO,EAAE,WAAW,MAAM,OAAM;AAAC,YAAI,IAAE,EAAE,WAAW,MAAM,OAAM,IAAE,EAAE,WAAS,EAAE,MAAM,UAAQ,EAAE,MAAM,MAAM,CAAC,GAAE,MAAI,EAAE,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,CAAC;AAAE,UAAE,OAAO,GAAE,MAAI,sBAAsB,EAAE,mDAAmD,gBAAgB,EAAE,QAAQ;AAAA,MAAC;AAAC,QAAE,WAAW,SAAO,EAAE,WAAW,MAAM,SAAO,EAAE,OAAO,EAAE,UAAQ,EAAE,WAAW,MAAM,OAAM,MAAI,sBAAsB,EAAE,kDAAkD,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,KAAE;AAAE,QAAI,IAAE,CAAC;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAI,KAAG,KAAGA,MAAE,KAAK,gBAAc,QAAMA,QAAI,SAAO,SAAOA,IAAE,YAAU,QAAM,MAAI,SAAO,SAAO,EAAE,CAAC;AAAE,WAAG,OAAK,EAAE,EAAE,IAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,OAAO,KAAK,CAAC,EAAE,OAAO,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC;AAAE,aAAO,KAAK,MAAM,MAAM,CAAC,KAAG;AAAA,IAAI,CAAC;AAAE,QAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,uDAAuDA,iCAA+B;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,EAAE,IAAI,CAAAA,QAAG;AAAC,UAAI,GAAE;AAAE,UAAI,KAAG,KAAG,IAAE,KAAK,gBAAc,QAAM,MAAI,SAAO,SAAO,EAAE,aAAW,QAAM,MAAI,SAAO,SAAO,EAAEA,GAAC;AAAE,aAAO,KAAG,OAAK,EAAE,OAAKA;AAAA,IAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,MAAE,QAAQ,CAAAA,QAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAGA,GAAC;AAAE,UAAG,CAAC,KAAK,MAAM,MAAM,CAAC;AAAE,cAAM,IAAI,MAAM,eAAeA,gCAA8B;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,CAAC,GAAEA,MAAE,CAAC,GAAE;AAAC,SAAK,wBAAsB,GAAE,KAAK,eAAaA;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,SAAK,sBAAsB,CAAC,IAAEA,IAAE,QAAO,KAAK,aAAaA,IAAE,EAAE,IAAEA;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,WAAO,KAAK,sBAAsB,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,aAAQ,KAAK,KAAK;AAAa,WAAK,aAAa,CAAC,EAAE,cAAc,GAAE,OAAO,KAAK,aAAa,CAAC;AAAE,aAAQ,KAAK,KAAK;AAAsB,WAAK,sBAAsB,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,sBAAsB,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAA2B,KAAG;AAA9B,IAA2C,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,CAAC,GAAE,IAAE,IAAG;AAAC,SAAK,WAAS,GAAE,KAAK,cAAYA,KAAE,KAAK,UAAQ,OAAM,KAAK,KAAG,GAAEA,OAAG,SAAO,KAAK,cAAY,CAAC,IAAG,KAAK,kBAAgB,IAAI;AAAA,EAAE;AAAA,EAAC,IAAI,eAAc;AAAC,WAAO,KAAK;AAAA,EAAO;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,SAAS;AAAA,EAAU;AAAA,EAAC,IAAI,cAAa;AAAC,WAAO,KAAK,SAAS;AAAA,EAAW;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK,SAAS;AAAA,EAAM;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS;AAAA,EAAO;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS;AAAA,EAAS;AAAA,EAAC,IAAI,WAAU;AAAC,WAAO,KAAK,UAAU;AAAA,EAAmB;AAAA,EAAC,IAAI,iBAAgB;AAAC,WAAO,KAAK;AAAA,EAAS;AAAA,EAAC,IAAI,4BAA2B;AAAC,WAAO,KAAK;AAAA,EAAoB;AAAA,EAAC,gBAAe;AAAC,QAAI,IAAE,KAAK;AAAS,QAAG,EAAE,QAAM;AAAK,WAAK,UAAQ;AAAA,aAAU,KAAK,YAAY,eAAa;AAAK,WAAK,UAAQ,KAAK,GAAG,mBAAmB,GAAE,KAAK,WAAW;AAAA,SAAM;AAAC,UAAIA,MAAE,KAAK,GAAG,gBAAgB,GAAE,KAAK,WAAW;AAAE,UAAGA,IAAE,WAAS;AAAE,QAAAA,IAAE,KAAK,KAAK,GAAG,mBAAmB,GAAE,KAAK,WAAW,CAAC;AAAA,eAAUA,IAAE,SAAO;AAAE,cAAM,IAAI,MAAM,wBAAwBA,IAAE,kCAAkC,CAAC,CAAC,IAAI;AAAE,WAAK,UAAQA,IAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,QAAG,KAAK,cAAc,GAAE,KAAK,QAAQ,QAAM;AAAK,YAAM,IAAI,MAAM,+GAA+G;AAAE,QAAI,IAAE,KAAK,QAAQ,KAAK;AAAE,WAAO,EAAE,UAAU,CAAC,IAAE,EAAE,KAAK,CAAAA,QAAG,KAAK,SAASA,GAAC,CAAC,IAAE,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,SAAK,YAAU;AAAE,QAAIA,MAAE,KAAK,UAAU,eAAc,IAAE,KAAK,UAAU;AAAU,QAAG,KAAK,UAAU,uBAAqB,MAAK;AAAC,UAAI,IAAE,KAAK,UAAU;AAAoB,QAAE,aAAW,SAAO,IAAE,EAAE,YAAW,EAAE,wBAAsB,SAAO,KAAK,uBAAqB,EAAE;AAAA,IAAqB;AAAC,SAAK,YAAU,GAAE,KAAK,UAAQ,GAAGA,IAAE,SAAS,YAAYA,IAAE,SAAS;AAAc,QAAI,IAAE,KAAK,GAAG,cAAc,KAAK,UAAU,YAAW,KAAK,UAAU,WAAW;AAAE,QAAG,KAAK,WAAS,IAAI,GAAG,GAAG,SAAS,eAAeA,KAAE,KAAK,SAAS,CAAC,GAAE,KAAK,SAAS,YAAU,KAAK,6BAA6B,CAAC,GAAE,KAAK,SAAS,kBAAgB,KAAK,iBAAgB,EAAE,oBAAkB,QAAM,EAAE,iBAAiB,QAAM,MAAK;AAAC,UAAI,IAAE,GAAG,SAAS,eAAe,EAAE,gBAAgB;AAAE,WAAK,cAAY,IAAI,GAAG,CAAC,GAAE,KAAK,YAAY,YAAU,KAAK,SAAS,WAAU,KAAK,YAAY,kBAAgB,KAAK,iBAAgB,KAAK,uBAAqB,EAAE;AAAA,IAAoB;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,MAAM,KAAK,GAAEA,KAAE;AAAC,QAAG,OAAO,KAAG,UAAS;AAAC,UAAI,IAAE,KAAK,GAAG,gBAAgB,CAAC;AAAE,UAAG,EAAE,WAAS;AAAE,cAAM,IAAI,MAAM,0CAA0C,IAAI;AAAE,UAAG,EAAE,SAAO;AAAE,cAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkC,IAAI;AAAE,UAAE,EAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,QAAM;AAAK,YAAM,IAAI,MAAM,6GAA6G;AAAE,WAAO,EAAE,KAAK,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,QAAG,KAAK,sBAAqB;AAAC,UAAIA,MAAE,aAAa,KAAG,CAAC,CAAC,IAAE,GAAE,IAAE,CAAC;AAAE,aAAOA,IAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,KAAK,qBAAqB,CAAC,CAAC,IAAE,CAAC,GAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,GAAE,KAAK,WAAW;AAAE,WAAO,KAAK,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,QAAI,IAAE,MAAM,KAAK,aAAa,GAAE,KAAK,WAAW;AAAE,WAAO,KAAK,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAIA;AAAE,QAAG,EAAE,aAAa,OAAK,CAAC,MAAM,QAAQ,CAAC,GAAE;AAAC,UAAI,KAAGA,MAAE,KAAK,eAAa,QAAMA,QAAI,SAAO,SAAOA,IAAE;AAAO,UAAG,KAAG;AAAK,iBAAQ,KAAK,GAAE;AAAC,cAAI,IAAE,EAAE,CAAC;AAAE,YAAE,cAAY,SAAO,EAAE,CAAC,IAAE,KAAK,0BAA0B,EAAE,UAAU;AAAA,QAAE;AAAC,aAAO;AAAA,IAAC;AAAC,QAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,QAAI,IAAE,OAAO,KAAK,KAAK,yBAAyB,EAAE;AAAO,QAAG,EAAE,SAAO,MAAI,KAAK,WAAW;AAAO,YAAM,IAAI,MAAM,oDAAoD,KAAK,WAAW,SAAO,gDAAgD,EAAE,gCAAgC;AAAE,QAAI,IAAE;AAAE,WAAO,KAAK,WAAW,OAAO,CAAC,GAAE,MAAI;AAAC,UAAI,GAAE,GAAE;AAAE,UAAI,KAAG,KAAG,KAAG,IAAE,KAAK,eAAa,QAAM,MAAI,SAAO,SAAO,EAAE,YAAU,QAAM,MAAI,SAAO,SAAO,EAAE,CAAC,OAAK,QAAM,MAAI,SAAO,SAAO,EAAE;AAAW,aAAO,KAAG,OAAK,EAAE,CAAC,IAAE,KAAK,0BAA0B,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,GAAG,GAAE;AAAA,IAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,IAAE,KAAG,KAAK,aAAY,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,0BAAyB;AAAC,WAAO,KAAK,eAAa,OAAK,CAAC,IAAE,KAAK,wBAAsB,OAAK,KAAK,YAAY,QAAQ,CAAC,GAAE,CAAC,CAAC,IAAE,KAAK,YAAY,QAAQ,CAAC,GAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,+BAA8B;AAAC,WAAO,KAAK,eAAa,OAAK,CAAC,IAAE,KAAK,wBAAsB,OAAK,KAAK,YAAY,aAAa,CAAC,GAAE,CAAC,CAAC,IAAE,KAAK,YAAY,aAAa,CAAC,GAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAE;AAAC,QAAG,KAAK,4BAA0B,CAAC,GAAE,KAAK,sBAAqB;AAAC,UAAIA,MAAE,KAAK,qBAAqB,SAAQ,IAAE,OAAO,KAAKA,GAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,aAAK,0BAA0B,EAAE,UAAU,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,SAAK,6BAA2B,QAAM,KAAK,6BAA6B,KAAK,wBAAwB,CAAC,GAAE,IAAE,KAAK,gBAAgB,CAAC,GAAEA,MAAE,KAAK,iBAAiBA,GAAC;AAAE,QAAI,IAAE,KAAK,SAAS,QAAQ,GAAEA,GAAC;AAAE,WAAO,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,SAAK,6BAA2B,QAAM,KAAK,6BAA6B,MAAM,KAAK,6BAA6B,CAAC,GAAE,IAAE,KAAK,gBAAgB,CAAC,GAAEA,MAAE,KAAK,iBAAiBA,GAAC;AAAE,QAAI,IAAE,MAAM,KAAK,SAAS,aAAa,GAAEA,GAAC;AAAE,WAAO,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,SAAS,uBAAuB;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,SAAS,2BAA2B;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAE;AAAC,WAAO,OAAO,KAAK,CAAC,EAAE,OAAO,CAACA,KAAE,OAAKA,IAAE,CAAC,IAAE,CAAC,EAAE,CAAC,CAAC,GAAEA,MAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,gBAAc,KAAK,YAAY,QAAQ,GAAE,KAAK,6BAA2B,GAAG,KAAK,yBAAyB,IAAG,KAAK,gBAAgB,QAAQ;AAAA,EAAC;AAAC;AAAE,eAAe,GAAG,GAAE,IAAE,CAAC,GAAEA,MAAE,IAAG;AAAC,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,wGAAwG;AAAE,OAAG,SAAO,IAAE,CAAC,IAAG,EAAE,aAAW,OAAO,KAAG,aAAW,IAAE,GAAG,CAAC;AAAG,MAAI,IAAE,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAO,MAAM,EAAE,KAAK,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,sHAAsH;AAAE,MAAI;AAAE,MAAG,aAAa,OAAM;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE;AAAE,QAAG,CAAC;AAAE,YAAM,IAAI,MAAM,kDAAkD;AAAE,QAAG,CAAC,KAAG,EAAE,aAAa;AAAa,YAAM,IAAI,MAAM,mEAAmE;AAAE,QAAG,EAAE,mBAAkB;AAAG,YAAM,IAAI,MAAM,uCAAuC;AAAE,QAAG,EAAE,qBAAoB;AAAG,YAAM,IAAI,MAAM,yCAAyC;AAAE,QAAI,IAAE,GAAG,eAAe,EAAE,eAAe,GAAE,IAAE,GAAG,6BAA6B,GAAE,GAAE,CAAC;AAAE,QAAE,GAAG,eAAe,CAAC;AAAA,EAAC,WAAS,UAAS;AAAE,QAAE;AAAA,WAAU,mBAAkB,KAAG,iBAAgB,KAAG,gBAAe;AAAE,QAAE,GAAG,eAAe,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB;AAAE,MAAIA,MAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,KAAK,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,SAAS,GAAG,MAAI,IAAE,IAAE,MAAK,GAAG,IAAI,KAAK;AAAI;AAAC,IAAI,KAAG;AAAQ,SAAS,EAAE,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,0DAA0D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG;AAAV,IAAoB,KAAG,cAAc,GAAE;AAAA,EAAC,cAAa;AAAC,UAAM,GAAE,KAAK,YAAU,IAAG,KAAK,WAAS,MAAG,KAAK,OAAK,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,SAAK,aAAW,KAAK,WAAS,OAAG,EAAE,EAAE,IAAI,SAAS,KAAG,EAAE,KAAK;AAAA;AAAA;AAAA,6BAGvw6C;AAAG,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,KAAK,IAAI,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI;AAAE,QAAGA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAA,IAAC;AAAM,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAE,WAAM,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,KAAK,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,KAAK,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,KAAK,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,KAAK,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,KAAK,IAAI,GAAE,EAAC,QAAOA,KAAE,OAAM,GAAE,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,EAAC,OAAMA,KAAE,oBAAmB,EAAC,IAAE,KAAK,KAAK,IAAI,CAAC;AAAE,QAAGA,QAAI,aAAY;AAAC,UAAI,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM;AAAE,aAAO,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,mCAAmC,KAAK,KAAK,IAAI,CAAC,EAAE,QAAOA,GAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,EAAE,yBAAyB,KAAK,eAAeA,KAAE,GAAE,CAAC,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,KAAK,IAAI,CAAC,GAAE;AAAC,UAAG,KAAK,KAAK,IAAI,CAAC,EAAE,YAAW,CAACA,OAAG,KAAK,KAAK,IAAI,CAAC,EAAE,WAAS;AAAE,eAAM;AAAG,UAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,KAAK,IAAI,CAAC;AAAE,WAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAO,IAAE,GAAE,KAAK,YAAY,EAAE,KAAK,QAAO,IAAE,IAAG,KAAK,KAAK,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,8BAA8B,GAAE;AAAC,SAAK,YAAY,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,EAAE,IAAI;AAAE,WAAO,EAAE,GAAE,EAAC,UAAS,EAAE,IAAI,IAAEA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,MAAG,SAAQ,CAAC,oHAAoH,EAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAE;AAAC,MAAE,CAAC,CAAC,GAAE,OAAO;AAAE,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,WAAO,GAAG,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,UAAS;AAAC,WAAO,MAAM,QAAQ;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,oBAAmB,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,UAAS,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,WAAU,MAAI,IAAG,yBAAwB,MAAI,IAAG,mBAAkB,MAAI,IAAG,4BAA2B,MAAI,IAAG,UAAS,MAAI,IAAG,uBAAsB,MAAI,IAAG,kBAAiB,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,IAAG,4BAA2B,MAAI,IAAG,SAAQ,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,eAAc,MAAI,IAAG,YAAW,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,EAAE,MAAM;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA;AAAE,MAAEA,GAAC,IAAE,KAAK,IAAI,EAAEA,GAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,EAAE,QAAOA,MAAE,EAAE;AAAQ,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAO,IAAE,GAAG,CAAC,GAAEA,IAAE,WAAW,GAAE,EAAE,OAAM,EAAE,KAAK;AAAC;AAAjL,IAAmL,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,eAAeA,GAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC;AAAE,QAAG,EAAE,SAAO,EAAE,WAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,CAAC,IAAE,EAAE,EAAE,IAAE,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,MAAM,CAAC;AAAA;AAAO,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,MAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAKA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC,GAAE,MAAKA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,WAAU;AAAC,MAAGA,QAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,GAAE,SAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAEA,GAAC;AAAE,SAAO,EAAE,eAAe,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,SAAOA,IAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI,SAAQ;AAAC,QAAI,IAAE,WAAW,KAAK,CAAC;AAAE,WAAM,CAAC,GAAE,SAAQ,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI,QAAO;AAAC,QAAI,IAAE,EAAE,aAAa,CAAC,CAAC,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC,EAAE,GAAE,CAAC,GAAE,GAAE,GAAE,MAAM;AAAE,WAAM,CAAC,GAAE,QAAO,CAAC;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiCA,UAAQ,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAGA,KAAE,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAOA,OAAG,OAAK,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,MAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,KAAG,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,IAAE,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAG,EAAE,UAAQ,eAAa,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,YAAW,EAAC,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,YAAW,EAAC,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAEA,IAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAA,IAAC,OAAK;AAAC,UAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,KAAG,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,aAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAEA,IAAE,QAAO,IAAE,EAAE,eAAeA,GAAC;AAAE,QAAG,EAAE,SAAO,EAAE,WAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,IAAE,EAAE,QAAO,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,MAAK,EAAE,CAAC,IAAE,EAAE;AAAA,MAAI;AAAA;AAAM,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,MAAK,EAAE,CAAC,IAAE,EAAE;AAAA,MAAI;AAAC,WAAM,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,KAAE,MAAK,IAAE,EAAC,EAAE;AAA5D,IAA8D,KAAG,GAAG,IAAG,IAAG,EAAE;AAA5E,IAA8E,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,SAAG,MAAI,IAAE,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG;AAAA,EAAE;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,CAAC,GAAEA,GAAC,GAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAI,GAAE,CAAC;AAAE,UAAG,IAAE;AAAE,cAAM,IAAI,MAAM,+BAA+B;AAAE,WAAGA,QAAI,IAAE,EAAE,IAAI,GAAE,GAAE,CAAC,IAAE,EAAE,OAAK,IAAE,EAAE,IAAI,EAAE,IAAI,GAAE,CAAC,IAAE,EAAE,IAAI,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,IAAI,EAAE,IAAI,GAAE,CAAC,IAAE,GAAE,GAAE,CAAC;AAAA,IAAE;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,MAAI;AAAC,QAAI,IAAE,EAAE,uBAAuBA,KAAE,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,GAAE,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE;AAAE,QAAG,EAAE,GAAE,CAAC,GAAE,EAAE,UAAQ,YAAUA,QAAI;AAAS,YAAM,IAAI,MAAM,sDAAsD;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,OAAG,EAAE,OAAM,IAAE,EAAE,kBAAkB,GAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,GAAE,CAAC;AAAE,WAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE;AAAE,QAAG,EAAE,GAAE,CAAC,GAAE,EAAE,UAAQ,YAAUA,QAAI;AAAS,YAAM,IAAI,MAAM,sDAAsD;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,OAAG,EAAE,OAAM,IAAE,EAAE,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,EAAE;AAAtC,IAAwC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkBA,KAAE,EAAE,cAAc,CAAC,CAAC;AAAE,MAAG,KAAGA,QAAI,UAAS;AAAC,QAAI,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,cAAc,EAAE,KAAK;AAAE,QAAE,IAAI,EAAE,MAAK,CAAC,GAAE,KAAG;AAAA,IAAC,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAEA,QAAI,WAAS,EAAE,uBAAuB,EAAE,IAAI,IAAE,EAAE,MAAK,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,EAAE,CAAC,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,EAAE;AAAE,YAAE,IAAE,CAAC,IAAE,EAAE,GAAG;AAAA,MAAC;AAAC,WAAG,EAAE,MAAM,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,SAAS;AAA/C,IAAiD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,EAAE;AAAvC,IAAyC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,EAAE;AAAvC,IAAyC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,WAAG,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG,IAAE;AAAE,YAAM,IAAI,MAAM,oBAAoB,yBAAyB,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,OAAO,IAAE,IAAE,CAAC,IAAE,EAAE,IAAI,GAAG,EAAE,WAAW,IAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,OAAO,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,CAAC;AAAE,SAAG,KAAG,IAAE,EAAE,OAAO,WAAS,EAAE,OAAO,CAAC,IAAE,EAAE,OAAO,CAAC;AAAA,EAAE;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAjD,IAAmD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,IAAE,IAAE,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAlD,IAAoD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAjD,IAAmD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,IAAE,IAAE,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAlD,IAAoD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,KAAG,IAAE,MAAIA,MAAE,IAAG,IAAE,EAAE,oBAAoBA,KAAE,SAAS;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,EAAE;AAArC,IAAuC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,uBAAuB,GAAE,EAAE,cAAcA,GAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,OAAC,OAAO,MAAM,CAAC,KAAG,IAAE,OAAK,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,MAAE,IAAE,GAAE,MAAK,IAAE,IAAE,IAAEA,IAAC,EAAE;AAApE,IAAsE,KAAG,GAAG,IAAG,IAAG,EAAE;AAApF,IAAsF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,IAAGA,GAAC;AAAE,SAAO,GAAG,CAAC,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuBA,KAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,OAAO,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAGA,IAAE,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAM,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAG,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE;AAAE,SAAO,MAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,IAAG,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAG,IAAE,KAAG,KAAGA,KAAE;AAAC,UAAI,IAAE,EAAE,WAAW,GAAE,EAAE,QAAO,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG;AAAE,YAAM,IAAI,MAAM,WAAW,QAAQ,mBAAmBA,MAAI;AAAA,IAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA,KAAE;AAAC,QAAI,IAAE,EAAEA,GAAC,GAAE,IAAEA,QAAI,EAAE,SAAO,IAAE,IAAE,EAAEA,MAAE,CAAC,EAAE;AAAO,QAAG,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,gCAAgC;AAAE,QAAG,EAAE,CAAC,IAAE;AAAE,YAAM,IAAI,MAAM,oCAAoC;AAAE,QAAG,EAAE,EAAE,SAAO,CAAC,IAAE;AAAE,YAAM,IAAI,MAAM,0CAA0C;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAG,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,cAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,SAAO,IAAEA,IAAE,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,MAAI,CAAC,CAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE,GAAE;AAAC,SAAG,EAAE,CAAC;AAAE,QAAI,IAAE,EAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,QAAE,CAAC,EAAE,KAAK,IAAE,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,SAAO;AAAE,UAAG,KAAG,GAAE;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,CAAC,EAAE,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC;AAAA,MAAC;AAAC,UAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,UAAI,MAAI,EAAE,KAAK,CAAC,GAAE,CAAC,CAAC,GAAE,KAAG,IAAE;AAAA,EAAE;AAAC,SAAM,EAAC,WAAU,GAAE,aAAY,GAAE,WAAU,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA,KAAE;AAAC,QAAI,IAAE,EAAEA,GAAC,EAAE,QAAO,IAAE,EAAE,kBAAkB,SAAQ,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAEA,GAAC,EAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAM,GAAE,CAAC;AAAE,SAAKA,IAAE,SAAO;AAAG,IAAAA,IAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,IAAE,CAAC,KAAG,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,KAAKA;AAAE,aAAQ,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,GAAE;AAAC,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE;AAAA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,kBAAkBA,KAAE,EAAE,cAAc,CAAC,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAG,EAAE,CAAC,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,CAAC,IAAE;AAAE,MAAG,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,6BAA6B;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,WAAU,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAW,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,EAAE,WAAS,GAAE,IAAE,EAAE,WAAS,GAAE,IAAE,EAAE,WAAS,GAAE,IAAE,CAAC;AAAE,OAAG,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAG,EAAE,CAAC,MAAI,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,qDAAqD;AAAE,MAAI,IAAE,EAAE,WAAS,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,SAAQ,IAAE,CAAC;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,qBAAqB;AAAE,QAAI;AAAE,QAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE;AAAE,UAAE;AAAA,aAAU,IAAE,KAAK,KAAK,KAAK,KAAK,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE;AAAG,YAAM,IAAI,MAAM,yCAAyC,IAAI;AAAE,MAAE,IAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,GAAG,IAAE,GAAE,KAAG;AAAA,EAAC;AAAC,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE;AAAT,IAA0B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,aAAWA,KAAE,KAAK,SAAO,GAAE,KAAK,cAAY,GAAE,KAAK,cAAY,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB,GAAE,KAAK,qBAAmB,GAAE,KAAK,2BAAyB,GAAE,KAAK,oBAAkB,EAAE,2BAA2B,CAAC,GAAE,KAAK,aAAW,EAAE,cAAc,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAE;AAAC,WAAO,KAAK,kBAAkB,CAAC,MAAI,GAAG,iBAAe,KAAK,kBAAkB,IAAE,CAAC,IAAE,KAAK,kBAAkB,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAE;AAAC,WAAO,KAAK,kBAAkB,CAAC,MAAI,GAAG,iBAAe,KAAK,mBAAmB,IAAE,CAAC,IAAE,KAAK,mBAAmB,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,sBAAsB,IAAE,CAAC;AAAE,YAAO,KAAK,+BAA+B,IAAE,CAAC,GAAE;AAAA,MAAC,KAAK,GAAG;AAAa,eAAO,GAAG,sBAAsBA,GAAC;AAAA,MAAE,KAAK,GAAG;AAAW,eAAO,GAAG,oBAAoBA,GAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,gCAAgC,GAAG,KAAK,+BAA+B,IAAE,CAAC,CAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,OAAO,oBAAoB,GAAE;AAAC,QAAIA,MAAE,EAAE;AAAO,QAAGA,QAAI,KAAGA,QAAI;AAAE,aAAO;AAAE,QAAI,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,MAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,UAAE,MAAI,IAAE;AAAA,IAAE;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,OAAO,sBAAsB,GAAE;AAAC,QAAIA,MAAE,EAAE;AAAO,QAAGA,QAAI;AAAE,aAAO;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,YAAI,MAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,GAAE,IAAE;AAAA,IAAE;AAAC,WAAO,KAAK,IAAIA,MAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,IAAE,MAAG;AAAC,QAAGA,IAAE,WAAS,GAAE;AAAC,UAAG,EAAE,CAAC,MAAI;AAAG,eAAM,CAAC;AAAE,YAAM,IAAI,MAAM,gFAAgF;AAAA,IAAC;AAAC,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,QAAIA,MAAE,KAAK,aAAY,IAAE,KAAK;AAAkB,MAAE,0BAA0B,GAAEA,GAAC;AAAE,QAAI,IAAE,KAAK,sBAAsB,KAAK,OAAM,KAAK,UAAU,GAAE,IAAE,EAAE,kCAAkC,KAAK,YAAW,GAAEA,GAAC;AAAE,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAG,aAAQ,IAAE,GAAE,KAAG,KAAK,YAAW,EAAE;AAAE,QAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE,KAAK,YAAY,CAAC;AAAG,WAAO;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE,KAAGA;AAAE,QAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,KAAK,EAAE;AAAE,WAAO,EAAE,OAAO,EAAE,WAAS,GAAE,MAAI,yDAAyD,GAAE;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,YAAI,OAAK,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,CAAC,GAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,EAAE;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,EAAE,WAAS,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,yBAAyB;AAAE,WAAO;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,QAAG,MAAI;AAAE,aAAM,CAAC;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAGA,IAAE;AAAO,YAAM,IAAI,MAAM,yBAAyB,6BAA6BA,IAAE,QAAQ;AAAE,QAAI,IAAEA,IAAE,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,MAAI;AAAE,aAAG,MAAI,EAAE,GAAE,IAAE,IAAE,KAAG,IAAE,IAAE;AAAA,WAAQ;AAAC,YAAG,IAAE,GAAE,IAAE,GAAE,KAAGA,IAAE;AAAO,gBAAM,IAAI,MAAM,sBAAsB,4BAA4BA,IAAE,QAAQ;AAAE,YAAEA,IAAE,CAAC;AAAA,MAAC;AAAC,QAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,WAAS,EAAE;AAAO,YAAM,IAAI,MAAM,kBAAkB;AAAE,WAAO;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK,sBAAsB,CAAC,GAAE,IAAE,KAAK,+BAA+B,CAAC;AAAE,YAAO,GAAE;AAAA,MAAC,KAAK,GAAG;AAAa,eAAO,KAAK,+BAA+B,GAAEA,KAAE,GAAE,CAAC;AAAA,MAAE,KAAK,GAAG;AAAW,YAAG,EAAE,SAAO,IAAEA,IAAE;AAAO,gBAAM,IAAI,MAAM,mDAAmD,EAAE,SAAO,OAAOA,IAAE,QAAQ;AAAE,eAAO,KAAK,6BAA6B,GAAEA,KAAE,GAAE,CAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,+BAA+B,GAAG,CAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,wBAAuB;AAAC,QAAI,IAAE,KAAK,mBAAmB,CAAC;AAAE,QAAG,KAAK,kBAAkB,WAAS;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,QAAIA,MAAE,KAAK,kBAAkB,CAAC;AAAE,YAAOA,KAAE;AAAA,MAAC,KAAK,GAAG;AAAe,eAAO,EAAE,CAAC;AAAA,MAAE,KAAK,GAAG;AAAa,cAAM,IAAI,MAAM,gDAAgD;AAAA,MAAE,KAAK,GAAG;AAAW,eAAO,KAAK,yBAAyB,CAAC,EAAE,CAAC,IAAE;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,sBAAsB,GAAGA,GAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK,mBAAmB,CAAC,EAAE,UAAQ;AAAE,YAAM,IAAI,MAAM,sEAAsE;AAAE,QAAIA,MAAE,KAAK,sBAAsB,GAAE,IAAE,KAAK,oBAAoBA,GAAC,GAAE,IAAE,IAAI,MAAM,KAAK,aAAW,CAAC;AAAE,MAAE,EAAE,SAAO,CAAC,IAAE;AAAE,aAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,KAAE,GAAE,IAAE,EAAE,kBAAkB,KAAK,aAAY,EAAE,cAAc,CAAC,CAAC;AAAE,QAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,GAAE;AAAC,UAAI,IAAE,KAAK,gCAAgCA,KAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,KAAG,KAAK,YAAW,EAAE;AAAE,YAAE,KAAK,qBAAqB,IAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,WAAK,UAAU,KAAK,YAAW,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,EAAE,WAAS;AAAE;AAAO,QAAI,IAAE,KAAK,QAAO,IAAE,GAAE,IAAE,EAAE,MAAM;AAAE,QAAE,EAAE,MAAM,IAAE,CAAC;AAAE,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,QAAO,IAAE,KAAK;AAAa,QAAG,EAAE,WAAS,KAAG,EAAE,WAAS,GAAE;AAAC,UAAI,IAAE,KAAK;AAAkB,SAAG,MAAI;AAAC,YAAI,IAAE,EAAE,GAAE,CAAC;AAAE,YAAE,GAAG,GAAE,CAAC,EAAE,SAAS;AAAA,MAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAEA,IAAE,CAAC,IAAE;AAAG,UAAG,MAAI,GAAE;AAAC,UAAE;AAAE;AAAA,MAAQ;AAAC,UAAG,IAAE,GAAE;AAAC,YAAI,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,KAAG,IAAE,KAAG;AAAE,WAAG,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC,UAAG,KAAG,GAAE;AAAC,YAAI,IAAE,EAAE;AAAO,YAAE,KAAK,MAAM,IAAE,CAAC;AAAA,MAAC;AAAC,UAAG,IAAE;AAAE,YAAG,KAAK,aAAa,WAAS;AAAE,YAAE,SAAS,IAAE,GAAE,IAAE,CAAC,EAAE,KAAK,KAAK,aAAa,CAAC,CAAC,GAAE,IAAE;AAAA;AAAO,iBAAK,IAAE,KAAG;AAAC,gBAAI,IAAE,EAAE,MAAM,IAAE,CAAC;AAAE,eAAG,GAAE,GAAE,CAAC,GAAE,EAAE;AAAA,UAAC;AAAC,UAAE,KAAG,IAAE,IAAE,GAAE,IAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,IAAE;AAAA,IAAE;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,MAAE,CAAC,IAAE,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAG,IAAE,GAAE;AAAC,UAAG,CAAC;AAAE,cAAM,IAAI,MAAM,aAAa,gBAAgB;AAAE,UAAG,IAAE;AAAG,cAAM,IAAI,MAAM,aAAa,iBAAiB;AAAE,UAAE;AAAA,IAAE;AAAC,IAAAA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAO,IAAI,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,MAAI,GAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,IAAE,IAAE,KAAGA,MAAE;AAAE,MAAG,KAAG,KAAG;AAAE,WAAO,EAAE,oBAAoB,GAAE,CAAC;AAAE,MAAI,IAAE,KAAK,IAAI,KAAK,MAAM,IAAE,KAAGA,GAAC,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,MAAE,KAAGA,QAAI,MAAIA,MAAE,KAAI,EAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAEA;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,IAAE,KAAK,KAAK,CAAC,CAAC;AAA3B,IAA6B,KAAG,GAAG,IAAG,EAAE;AAAxC,IAA0C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE;AAAO,MAAG,MAAI;AAAE,WAAO,GAAGA,KAAE,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,GAAE,EAAE,KAAK;AAAE,SAAO,KAAG,YAAU,OAAO,KAAG,WAAS,EAAE,OAAO,KAAK,CAAC,IAAE,OAAO,KAAG,aAAW,EAAE,OAAO,KAAK,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG,IAAE;AAAE,YAAM,IAAI,MAAM,oBAAoB,yBAAyBA,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,EAAE,OAAO,IAAE,IAAE,CAAC,KAAG,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE,OAAO,IAAE,IAAE,CAAC,IAAE,EAAE,SAAO,IAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAG,IAAE,KAAK,IAAI,CAAC,CAAC,EAAE;AAA/B,IAAiC,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,KAAK,IAAI,CAAC,CAAC,EAAE;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,iBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAcA,GAAC,GAAE,IAAE,EAAE,eAAe,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,kBAAkB,GAAE,CAAC;AAAE,WAAO,MAAI,WAAS,EAAE,MAAM,GAAE,IAAE,CAAC,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAI,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,MAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO,MAAI,WAAS,EAAE,uBAAuB,EAAE,MAAM,IAAE,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,KAAG,kBAAkB,GAAE,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,kBAAkBA,KAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,CAAC;AAAE,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAG,IAAE,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,QAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,kDAAkD,GAAE,GAAE,CAAC,CAAC;AAAE,MAAE,EAAE,CAAC,GAAE,IAAE,KAAG,KAAG,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,MAAI;AAAE,MAAE,CAAC,IAAE,GAAE,IAAE,KAAG,CAAC,GAAE,EAAE,CAAC,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,CAAC,GAAE,IAAE,MAAI,EAAE,CAAC,KAAG,EAAE,IAAE,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE;AAAE,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,IAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,KAAG,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,KAAG;AAAE,QAAE,CAAC;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAG,EAAE,CAAC,MAAI,GAAE;AAAC,YAAI,IAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,IAAE,IAAE,CAAC,IAAE;AAAE,UAAE,CAAC,IAAE;AAAA,MAAC;AAAC,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI,IAAG;AAAC,UAAG,MAAI;AAAG,cAAM,IAAI,MAAM,EAAE,yDAAyD,GAAE,CAAC,CAAC;AAAE,UAAE,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC,OAAK;AAAC,UAAG,IAAE;AAAE,cAAM,IAAI,MAAM,EAAE,8CAA8C,GAAE,CAAC,CAAC;AAAE,WAAG,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,MAAG,MAAI,IAAG;AAAC,QAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,qDAAqD,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC;AAAE,QAAG,IAAE,MAAI;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,UAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,MAAG,IAAE,GAAE;AAAC,MAAE,IAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,IAAE,GAAE;AAAC,MAAE,IAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,kBAAkBA,KAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,IAAE,IAAE,CAAC,IAAE,KAAK,MAAM,IAAE,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,SAAO,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,IAAE,CAAC,IAAE,IAAE;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAO,IAAE,KAAG,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAO;AAAC,QAAI,IAAE;AAAE,QAAG,IAAE,GAAE;AAAC,UAAG,IAAE,EAAE,CAAC,GAAE,MAAI,GAAE;AAAC,UAAE;AAAE;AAAA,MAAQ;AAAC,UAAG,KAAG;AAAE,cAAM,IAAI,MAAM,EAAE,6DAA6D,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,yDAAyD,GAAE,CAAC,CAAC;AAAE,QAAE,KAAG,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,IAAE,KAAG,KAAG,EAAE,CAAC;AAAE,cAAM,IAAI,MAAM,EAAE,uDAAuD,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,IAAE,CAAC,KAAG,EAAE,IAAE,IAAE,CAAC;AAAA,IAAC;AAAC,QAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,IAAE,CAAC,KAAG,IAAE;AAAE,QAAG,IAAE,GAAE,EAAE,GAAE,IAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE;AAAA,EAAK;AAAC,SAAO,IAAE,KAAG,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,IAAE;AAAE,SAAOA,MAAEA;AAAC,CAAC;AAAvC,IAAyC,KAAG,GAAG,IAAG,EAAE;AAApD,IAAsD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,MAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,YAAU,EAAE,aAAa,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,UAAQ,EAAE,aAAa,CAAC,GAAE,KAAK,WAAS,EAAE,aAAa,CAAC,GAAE,KAAK,WAAS,GAAE,KAAK,gBAAc;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,WAAO,KAAK,IAAI,KAAK,WAAS,IAAE,IAAE,IAAE,KAAK,UAAS,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,YAAYA,GAAC;AAAE,WAAO,KAAK,IAAI,GAAE,IAAE,IAAE,IAAEA,MAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,YAAY,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,KAAG,KAAG,IAAE,GAAG,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,OAAG,IAAE,IAAE,IAAE,IAAE,IAAG,IAAE;AAAE,WAAG,IAAE,KAAK,QAAQ;AAAO,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAG,EAAE,IAAE,CAAC,EAAE;AAAO,WAAG,IAAE,KAAK,SAAS;AAAO,UAAI,IAAE,IAAE,IAAE,IAAE;AAAE,WAAG,IAAE,KAAK,UAAU,QAAO,EAAE,IAAE,CAAC,IAAE,IAAI,WAAW,CAAC;AAAE,UAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,OAAG,EAAE,QAAQ,OAAG,EAAE,GAAG,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,OAAO,GAAE,EAAE,KAAK,SAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,UAAE,EAAE,IAAE,CAAC,CAAC,GAAE,EAAE,KAAK,SAAS;AAAE,UAAG,IAAE,GAAE;AAAC,UAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK,SAAS,GAAE,EAAE,KAAK,QAAQ;AAAA,MAAC,OAAK;AAAC,iBAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK,QAAQ,GAAE,EAAE,KAAK,SAAS;AAAE,UAAE,KAAK,QAAQ;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAEA,IAAE;AAAO,QAAG,IAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC;AAAE,UAAG,MAAI;AAAE,cAAM,IAAI,MAAM,oCAAoC,GAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAEA,IAAE,CAAC,KAAG;AAAE,YAAG,IAAE,KAAGA,IAAE,CAAC,KAAG,GAAE,CAAC;AAAE,gBAAM,IAAI,MAAM,uBAAuBA,IAAE,CAAC,kBAAkB,MAAM,IAAI;AAAE,YAAEA,IAAE,CAAC;AAAA,MAAC;AAAC,UAAG,MAAI;AAAE,cAAM,IAAI,MAAM,gDAAgD,UAAU,GAAG;AAAA,IAAC;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,SAAQ,CAAC;AAAE,QAAG,MAAI,KAAG,MAAI,GAAE;AAAC,UAAI,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,UAAE,CAAC,IAAE;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAK,YAAY,QAAQ,OAAG;AAAC,aAAG,KAAK,aAAa,GAAE,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,iBAAe,IAAE,KAAG,MAAI,MAAI,IAAE,IAAG,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,MAAM,EAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAG,KAAK,YAAY,QAAQ,OAAG;AAAC,YAAI,IAAEA,IAAE,IAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,IAAE,KAAK,aAAa,GAAE,CAAC;AAAE,aAAK,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG;AAAA,MAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,EAAE,CAAC,GAAE;AAAC,YAAI,IAAEA,IAAE,IAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,YAAG,MAAI;AAAE;AAAS,YAAI,IAAE,IAAE,IAAE,KAAK,UAAS,IAAE;AAAE,aAAK,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAO,IAAI,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC,EAAE,QAAQ,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,EAAE;AAAO;AAAO,MAAG,EAAE,WAAS,GAAE;AAAC,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,KAAK,EAAE,SAAS,GAAE,IAAE,CAAC,CAAC;AAAE;AAAA,EAAM;AAAC,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,WAAK,MAAI,MAAI;AAAC,UAAI,IAAE,EAAE,SAAS,GAAE,CAAC;AAAE,OAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAA,IAAC;AAAC,KAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC;AAAE;AAAA,EAAM;AAAC,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,QAAG,MAAI,EAAE,UAAQ,EAAE,QAAQ,EAAE,CAAC,CAAC,MAAI,IAAG;AAAC,UAAI,IAAE,EAAE,SAAS,GAAE,CAAC;AAAE,OAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC,GAAE,IAAE,IAAE;AAAA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE;AAAO,OAAG,EAAE,CAAC,GAAE,GAAEA,KAAE,CAAC;AAAE,QAAI,IAAE,EAAE,SAAO;AAAE,MAAE,CAAC,IAAE,GAAE,KAAG,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,kBAAkB,SAAQ,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,CAAC,IAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE;AAAE,SAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,kBAAkB,SAAQ,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,cAAc,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAAE,mBAAmB;AAAE,SAAOA;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,KAAE,MAAK,IAAE,EAAC,EAAE;AAA5D,IAA8D,KAAG,GAAG,IAAG,IAAG,EAAE;AAA5E,IAA8E,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,EAAE,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,IAAI;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,CAAC;AAAE,MAAE,OAAO,CAAC,IAAE,EAAE,OAAO,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,EAAE,QAAM,EAAE;AAAM,SAAOA,QAAI,IAAE,EAAE,QAAM,EAAE,QAAMA;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAC,SAAK,IAAEA,OAAG;AAAC,QAAG,IAAEA,MAAE,KAAI;AAAC,UAAI,IAAE,IAAEA,MAAE,GAAE,IAAE,IAAEA,MAAE,GAAE,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,MAAG,KAAK,IAAI,IAAE,IAAE,CAAC,GAAE,IAAE,MAAG,KAAK,KAAK,IAAE,KAAG,IAAE,KAAG,CAAC,IAAE,KAAK,KAAK,IAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAIA,KAAE,KAAK,MAAM,IAAE,IAAE,IAAE,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,KAAG,IAAE,KAAG,IAAE,IAAE,CAAC,CAAC;AAAE,SAAG,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,KAAE,IAAE;AAAE,SAAI,EAAE,KAAK,GAAEA,KAAE,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE,KAAG,EAAE,KAAK,GAAEA,KAAE,CAAC,GAAE,IAAE,KAAG;AAAC,WAAI,EAAE,KAAK,GAAE,GAAE,CAAC,GAAE,KAAI,KAAI,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE;AAAG,YAAE,IAAE;AAAE,aAAK,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE;AAAG,YAAE,IAAE;AAAA,IAAC;AAAC,OAAG,EAAEA,GAAC,GAAE,CAAC,MAAI,IAAE,EAAE,KAAK,GAAEA,KAAE,CAAC,KAAG,IAAE,IAAE,GAAE,EAAE,KAAK,GAAE,GAAE,CAAC,IAAG,KAAG,MAAIA,MAAE,IAAE,IAAG,KAAG,MAAI,IAAE,IAAE;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,EAAE,SAAO,GAAE,CAAC,GAAE,IAAE,EAAE,uBAAuBA,KAAE,IAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,SAAQ,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAC,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,IAAE,EAAE,WAAS,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,CAAC,IAAG,KAAG,EAAE,KAAK,EAAE;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE;AAAA,EAAK;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAAC,GAAG,GAAEA,KAAE,CAAC,GAAE,GAAG,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,GAAEA,GAAC,EAAE,CAAC,GAAE,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,KAAGA,IAAE,CAAC;AAAE,IAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,MAAE,CAAC,KAAGA,IAAE,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,IAAI,WAAWA,IAAE,CAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,CAAC,GAAE,KAAI;AAAC,QAAI;AAAE,QAAG;AAAE,UAAE,EAAE,CAAC,EAAE,SAAS;AAAA,SAAM;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,iBAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,YAAE,KAAK,EAAE,IAAI,GAAE,GAAE,CAAC,CAAC;AAAE,UAAE,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,QAAG,EAAE,CAAC,MAAI;AAAO,QAAE,CAAC,IAAE,EAAE,CAAC;AAAA,SAAM;AAAC,UAAI,IAAE,OAAO,KAAK,CAAC,EAAE;AAAO,QAAE,CAAC,IAAE,GAAE,EAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE,OAAO,KAAK,CAAC,EAAE;AAAO,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,UAAE,IAAI,EAAE,IAAI,GAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,MAAM;AAAE,SAAO,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAC,cAAa,EAAE,QAAO,aAAY,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG;AAAQ,GAAG,OAAM,MAAI,IAAI,MAAG,CAAC;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,IAAE,KAAK,IAAI,CAAC,IAAE,CAAC;AAApC,IAAsC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,uBAAuB,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,SAAS;AAAE,SAAOA,IAAE,eAAe,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,GAAE,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,KAAK,IAAI,GAAE,CAAC,GAAE,CAAC,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAGA,QAAI;AAAS,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAO,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAM,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAQ,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAQ,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAY,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAU,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,QAAM,IAAI,MAAM,cAAcA,mDAAiD;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF,GAAEA,IAAE,OAAO,EAAE,MAAM;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM;AAAE,MAAG,EAAE,sBAAoB,MAAK;AAAC,QAAI,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB;AAAK,MAAE,QAAM,GAAE,EAAE,QAAM;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwB,oBAAoB,eAAe;AAAE,MAAI,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAG,IAAE,GAAE,IAAE,GAAG,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,KAAG,EAAE,QAAO,KAAGA,IAAE;AAAU,WAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,QAAI,KAAG,KAAG,GAAE,KAAG,KAAG;AAAE,aAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,UAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,eAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,YAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,cAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG;AAAK,qBAAQ,KAAG,IAAG,KAAG,IAAG,MAAK;AAAC,kBAAI,KAAG;AAAE,uBAAQ,KAAG,IAAG,KAAG,IAAG,MAAK;AAAC,oBAAI,KAAG,EAAE,KAAG,IAAE,KAAG,IAAE,KAAG,CAAC,GAAE,KAAG,EAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAC,iBAAG,KAAG,MAAI,KAAG,IAAE,GAAG,KAAG;AAAA,YAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,GAAE,GAAE,GAAE,IAAE,CAAC;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,OAAM,EAAC,YAAW,GAAE,YAAW,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,IAAG,MAAI,IAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE;AAAG,WAAQ,KAAK;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,EAAE,KAAK,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,KAAG;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,KAAG;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,IAAE,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,2BAA2B,UAAS,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,OAAO,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,MAAI,IAAE,GAAE,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,IAAE,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,2BAA2B,UAAS,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,OAAO,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,MAAI,IAAE,GAAE,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,MAAM,GAAE,CAAC,CAAC;AAAhC,IAAkC,KAAG,GAAG,IAAG,EAAE;AAA7C,IAA+C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,QAAM,OAAO,oBAAkB,OAAO,mBAAkB,IAAE,GAAG,EAAE,UAASA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,KAAG,KAAG,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC;AAAE,oBAAI,SAAO,KAAG,IAAE,IAAE,KAAG,MAAI,UAAQ,KAAG,IAAG;AAAA,YAAI;AAAC,gBAAG,MAAM,CAAC;AAAE;AAAA,UAAK;AAAC,cAAI,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,CAAC,IAAE,MAAI,QAAM,IAAE,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,GAAG,EAAE,UAAS,OAAO,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,GAAG,GAAEA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,OAAO,mBAAkB,IAAE;AAAG,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,IAAE,IAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,IAAE,IAAE,GAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,kBAAE,MAAI,IAAE,GAAE,IAAE,IAAE,MAAI,IAAE,EAAE,WAAS,KAAG,EAAE,UAAQ,KAAG,EAAE,aAAW,KAAG,IAAE,EAAE,UAAQ,KAAG,EAAE,aAAW,IAAE,IAAE,IAAE,IAAE;AAAA,YAAE;AAAA,UAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,QAAM,OAAO,oBAAkB,OAAO,mBAAkB,IAAE,GAAG,EAAE,UAASA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,KAAG,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC,GAAE,KAAG,IAAE,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,gBAAI,KAAG,IAAE,IAAE,GAAE,KAAG;AAAG,mBAAK,KAAG;AAAG,oBAAI;AAAE,gBAAI,KAAG,KAAK,IAAI,EAAE,SAAQ,IAAE,EAAE,GAAE,KAAG,KAAG,IAAE,GAAE,KAAG,GAAE,KAAG,GAAE,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,kBAAI,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,uBAAQ,KAAG,GAAE,KAAG,IAAG,MAAI,GAAE;AAAC,oBAAI,KAAG,KAAG,KAAG,EAAE,CAAC;AAAE,yBAAQ,KAAG,IAAG,KAAG,IAAG,MAAI,GAAE;AAAC,sBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC;AAAE,sBAAG,MAAI,SAAO,KAAG,KAAG,KAAG,KAAG,MAAI,UAAQ,MAAI,IAAG,OAAM,MAAM,EAAE;AAAE;AAAA,gBAAK;AAAC,oBAAG,MAAM,EAAE;AAAE;AAAA,cAAK;AAAC,kBAAG,MAAM,EAAE;AAAE;AAAA,YAAK;AAAC,gBAAI,KAAG,KAAG;AAAE,cAAE,EAAE,IAAE,MAAI,QAAM,KAAG,KAAK,IAAI,IAAG,CAAC,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,EAAE,UAAS,OAAO,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAK,IAAE;AAAG,mBAAG;AAAE,gBAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,OAAO,mBAAkB,IAAE;AAAG,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,IAAE,IAAE;AAAE,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,IAAE,IAAE;AAAE,yBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,sBAAI,IAAE,IAAE,GAAE,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,wBAAI,MAAI,IAAE,IAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAA,gBAAE;AAAA,cAAC;AAAA,YAAC;AAAC,YAAAA,IAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,EAAE,UAAS,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,EAAE,eAAe,EAAE,KAAK,GAAE,GAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,eAAe;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAE,KAAG,IAAE,IAAE,IAAG,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,kBAAI,KAAG,IAAE,MAAI;AAAE,kBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,YAAU,KAAK,MAAM,CAAC,MAAI;AAAG,yBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,sBAAI,MAAI,IAAE,MAAI;AAAE,sBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,aAAW,KAAK,MAAM,EAAE,MAAI;AAAI,6BAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,0BAAI,MAAI,IAAE,MAAI;AAAE,0BAAG,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAG;AAAS,0BAAI,KAAG,EAAE,IAAI,GAAE,GAAE,IAAG,IAAG,CAAC;AAAE,4BAAI;AAAA,oBAAE;AAAA,gBAAC;AAAA,YAAC;AAAC,cAAE,IAAI,KAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,aAAW,KAAK,MAAM,CAAC,MAAI;AAAG,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,IAAE,KAAG,KAAG,EAAE,YAAU,KAAK,MAAM,CAAC,MAAI;AAAE;AAAS,oBAAI,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,qBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,IAAI,IAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,8EAA8E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,4EAA4E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,2EAA2E,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,WAAW;AAAE,MAAG,EAAC,iBAAgB,EAAC,IAAE;AAAE,OAAG,SAAO,IAAE;AAAM,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,SAAO,IAAI,aAAa,CAAC,CAAC,CAAC,GAAE,IAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,SAAO,IAAI,aAAa,CAAC,CAAC,CAAC,GAAE,IAAE,IAAI,aAAa,EAAE,MAAM,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,MAAE,CAAC,IAAE,EAAE,GAAG,KAAG,EAAE,CAAC,IAAE,EAAE,GAAG,KAAG,EAAE,GAAG,IAAE,KAAK,KAAK,EAAE,GAAG,IAAE,CAAC,GAAE,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE;AAAG,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,WAAW,KAAK,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE;AAAE,SAAO,IAAEA,IAAE,eAAaA,IAAE,eAAa,IAAEA,IAAE,eAAaA,IAAE,eAAa;AAAC,CAAC;AAAtG,IAAwG,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,EAAE,QAAOA,MAAE,EAAE,SAAQ,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,KAAK,MAAM,GAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,WAAW,GAAE,EAAE,OAAM,SAAS;AAAC;AAA5U,IAA8U,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,CAAC,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,OAAM,EAAE,MAAK,EAAE;AAAE,MAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,KAAG,GAAE,KAAG,EAAE,WAAU,EAAE,IAAG;AAAC,UAAI,KAAG,IAAE,KAAG,GAAE,IAAE,KAAG,EAAE,eAAa;AAAE,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,IAAE,KAAG;AAAE,YAAG,KAAG,KAAG,MAAI,EAAE;AAAS;AAAS,YAAI,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG;AAAE,iBAAQ,KAAG,GAAE,KAAG,EAAE,UAAS,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,KAAG,GAAE,KAAG,KAAG,EAAE,cAAY;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,gBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,KAAG,GAAE,KAAG;AAAG,qBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,kBAAI,KAAG,EAAE,KAAG,KAAG,CAAC;AAAE,uBAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE;AAAG,kBAAE,KAAG,KAAG,CAAC,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,oBAAI,EAAE;AAAA,YAAW;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,sBAAsB;AAAE,MAAI,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,KAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,KAAG,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,aAAY,EAAE,GAAE;AAAC,cAAI,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,kBAAI,IAAE,IAAE,IAAE,IAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG,IAAE;AAAE,oBAAE,KAAG,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,EAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,EAAE;AAAA,cAAC;AAAA,YAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,qBAAqB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE;AAAE,MAAE,EAAE;AAAW,MAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,gBAAe,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,QAAQ,CAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,QAAQ,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC,GAAE,KAAG;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAG,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,IAAE,IAAG,KAAG,KAAG,KAAG,KAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,EAAE,KAAG,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAA,YAAC;AAAA,UAAC;AAAC,cAAI,KAAG,IAAE,KAAG,KAAG,KAAG,KAAG,KAAG,IAAE;AAAG,YAAE,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,EAAC,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,eAAc,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,MAAK,IAAE,EAAE,KAAI,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,cAAY;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,YAAG,IAAE,KAAG,KAAG,EAAE;AAAQ;AAAS,YAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,KAAG,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,eAAa;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAS;AAAS,gBAAI,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,qBAAQ,KAAG,GAAE,KAAG,EAAE,UAAS,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG,EAAE,aAAY,KAAG,KAAG,EAAE,cAAY;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG;AAAE,oBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,oBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,KAAG,EAAE,YAAW,KAAG;AAAG,yBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,sBAAI,KAAG,EAAE,KAAG,EAAE;AAAE,2BAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE;AAAG,sBAAE,KAAG,EAAE,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,wBAAI,EAAE;AAAA,gBAAW;AAAA,cAAC;AAAA,YAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,wBAAwB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ;AAAI,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,QAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG;AAAE,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,UAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG,IAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG,IAAE;AAAG,iBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,IAAE;AAAG,mBAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE,IAAG;AAAC,gBAAI,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,EAAE,WAAU,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,GAAE,KAAG,KAAG;AAAE,uBAAQ,KAAG,IAAG,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,yBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,sBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,2BAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,wBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,0BAAI,EAAE,KAAG,EAAE,IAAE,EAAE,KAAG,EAAE;AAAA,kBAAC;AAAA,gBAAC;AAAA,cAAC;AAAA,YAAC;AAAC,cAAE,KAAG,EAAE,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,SAAQ,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,UAAS,IAAG,WAAU,IAAG,UAAS,GAAE,aAAY,IAAG,cAAa,IAAG,aAAY,GAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,QAAQ,OAAM,KAAG,IAAE,IAAE,EAAE,QAAQ,KAAI,KAAG,IAAE,IAAE,EAAE,QAAQ;AAAK,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,KAAI,IAAE,MAAI,EAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,KAAI,IAAE,MAAI,EAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,EAAE,GAAE,KAAG;AAAE,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG;AAAG,uBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG;AAAG,yBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,sBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,2BAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,wBAAI,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,0BAAI,KAAG;AAAA,kBAAE;AAAA,gBAAC;AAAA,cAAC;AAAA,YAAC;AAAC,cAAE,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,SAAS,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG;AAAE;AAAS,QAAI,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,KAAG,GAAE,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,UAAG,IAAE,KAAG,IAAE,IAAE,GAAE;AAAC,iBAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,gBAAI,IAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,cAAE,OAAO,CAAC,IAAE;AAAA,UAAC;AAAC;AAAA,MAAQ;AAAC,UAAG,MAAI,YAAW;AAAC,YAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,IAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,cAAI,KAAG,IAAE,IAAE,KAAG,IAAE,KAAG,KAAG,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,cAAG,KAAG,KAAG,KAAG,IAAE,GAAE;AAAC,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,kBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAE,OAAO,EAAE,IAAE;AAAA,YAAC;AAAC;AAAA,UAAQ;AAAC,cAAI,IAAE,KAAK,MAAM,EAAE,GAAE,KAAG,KAAK,KAAK,EAAE,GAAE,KAAG,KAAG;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,KAAG,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE,GAAE,KAAG,MAAI,KAAG,MAAI,IAAG,KAAG,MAAI,KAAG,MAAI;AAAG,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,EAAE,OAAO,EAAE,IAAE,MAAI,KAAG,MAAI;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAM,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,cAAG,IAAE,KAAG,IAAE,IAAE,GAAE;AAAC,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,kBAAI,IAAE,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAE,OAAO,CAAC,IAAE;AAAA,YAAC;AAAC;AAAA,UAAQ;AAAC,cAAI,IAAE,KAAK,MAAM,CAAC,GAAE,KAAG,KAAK,MAAM,CAAC;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,IAAE,KAAG,IAAE,EAAE,CAAC,IAAE,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,cAAE,OAAO,EAAE,IAAE,EAAE,CAAC;AAAA,UAAC;AAAA,QAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,EAAE,MAAM,MAAM,EAAE,CAAC;AAAE,MAAG,MAAI,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,OAAO,GAAE,IAAE,EAAE,mBAAmB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,UAAG,MAAI;AAAE,UAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,EAAE,MAAM,MAAM,EAAE,CAAC;AAAE,MAAG,MAAI,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,OAAO,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,UAAG,MAAI;AAAE,UAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC,WAAS,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,OAAO,MAAI,QAAO,MAAI,+DAA+D,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,KAAG;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE;AAAI,YAAE,GAAG,IAAE,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,KAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,eAAa;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,YAAG,IAAE,KAAG,KAAG,EAAE;AAAS;AAAS,YAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,KAAG,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,cAAY;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,gBAAI,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,EAAE,YAAW,KAAG,IAAG,KAAG;AAAG,qBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,kBAAI,KAAG,EAAE,KAAG,EAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,kBAAE,KAAG,EAAE,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,oBAAI,GAAE,MAAI;AAAA,YAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,qCAAqC;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,KAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,KAAG,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,aAAY,EAAE,GAAE;AAAC,YAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,IAAE,IAAE;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,kBAAI,KAAG,IAAE,KAAG,IAAE;AAAE,mBAAG,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC;AAAA,YAAC;AAAA,UAAC;AAAC,UAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,oCAAoC;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,GAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,KAAG,IAAE;AAAE,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,EAAE,GAAE,KAAG;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAG,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,uBAAQ,KAAG,GAAE,KAAG,IAAG,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAA,YAAC;AAAA,UAAC;AAAC,YAAE,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,kBAAkB,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,KAAG,OAAO;AAAiB,mBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,gBAAI,KAAG,IAAE,IAAE;AAAE,gBAAG,MAAI,KAAG,KAAG;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,WAAW,CAAC,GAAE,IAAG,IAAG,CAAC,GAAE,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,WAAW,CAAC,GAAE,IAAG,CAAC,GAAE,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,EAAE,EAAE;AAAE,uBAAG,OAAK,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,cAAI,KAAG,EAAE,WAAW,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,GAAE,EAAE,eAAe,CAAC,CAAC;AAAE,YAAE,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC;AAAE,IAAE,OAAO,EAAE,SAAO,EAAE,QAAO,MAAI,YAAY,4CAA4C,EAAE,mBAAmB,EAAE,MAAM;AAAE,MAAI,IAAE,EAAE,cAAc,GAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,OAAO,kBAAiB,IAAE,GAAE,KAAG;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,IAAE,IAAE,KAAG;AAAE,gBAAG,KAAG,KAAG,IAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC;AAAE,uBAAG,MAAI,IAAE,IAAG,IAAE,IAAG,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,CAAC,EAAE,EAAE,EAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC;AAAE,IAAE,OAAO,EAAE,SAAO,EAAE,QAAO,MAAI,YAAY,4CAA4C,EAAE,mBAAmB,EAAE,MAAM;AAAE,MAAI,IAAE,EAAE,cAAc,GAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,OAAO,kBAAiB,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,IAAE,IAAE,KAAG;AAAE,gBAAG,KAAG,KAAG,IAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC;AAAE,uBAAG,MAAI,IAAE,IAAG,IAAE,GAAE,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI;AAAE,IAAE,UAAQ,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,QAAO,EAAC,CAAC,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO,GAAE,IAAE,GAAGA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,EAAE,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,MAAI,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,SAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE;AAAA,EAAE;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAE;AAAT,IAAe,KAAG,EAAE;AAApB,IAA2B,KAAG,EAAE;AAAhC,IAAuC,KAAG,EAAE;AAA5C,IAAmD,KAAG,EAAE;AAAxD,IAA+D,KAAG,EAAE;AAApE,IAA2E,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,KAAK,KAAK,CAAC,GAAEA,MAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAG,IAAE,KAAGA;AAAG,SAAO,KAAG,QAAM,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,MAAI,IAAE,MAAI,IAAE,KAAK,IAAI,CAACA,MAAEA,GAAC;AAAE,CAAC;AAAnM,IAAqM,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,IAAG,EAAE;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,QAAE,IAAE,IAAE,CAAC,IAAE,EAAE,MAAK,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE;AAAA,IAAI;AAAC,IAAAA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,mBAAmB,KAAK,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,mBAAmB,KAAK,MAAM,EAAE;AAAO,MAAG,GAAG,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC;AAAE,QAAG,GAAE;AAAC,UAAI,IAAEA,IAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,IAAEA,IAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,aAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,uBAAuB,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,UAAO,IAAE,IAAE,OAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAGA,QAAI;AAAE,WAAM,EAAC,MAAK,GAAE,MAAK,EAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAEA,MAAE,GAAE,IAAE,EAAE,qBAAqB,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,UAAUA,KAAE,CAAC,GAAE,IAAE,CAAC,EAAE,KAAK,MAAM,GAAE,KAAG,EAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,KAAG,EAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,IAAG,MAAK,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,CAAC,IAAG,EAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,CAAC,IAAG,EAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,KAAG,EAAE,KAAK,IAAI,GAAG,MAAM,EAAE,QAAO,KAAG,EAAE,KAAK,IAAI,GAAG,MAAM,EAAE;AAAO,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAC,MAAK,IAAG,MAAK,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,SAAS,IAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,WAAG,EAAE,OAAK,EAAE,OAAK,EAAE,OAAK,EAAE,MAAK,KAAG,EAAE,OAAK,EAAE,OAAK,EAAE,OAAK,EAAE;AAAA,IAAI;AAAC,IAAAA,QAAI,KAAG,GAAE,KAAG,IAAG,EAAE,mBAAmB,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,OAAGA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,cAAG,KAAG,KAAG,IAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAE,gBAAE,EAAE,CAAC;AAAA,UAAC;AAAC,YAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,MAAM,IAAE,CAAC,CAAC;AAAhC,IAAkC,KAAG,GAAG,IAAG,IAAG,MAAK,OAAO;AAA1D,IAA4D,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,EAAC,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAG,MAAI,UAAQ,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,UAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,IAAC;AAAM,UAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAG,MAAI,UAAQ,MAAI,WAAS,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,UAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,IAAC;AAAM,UAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,EAAC,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,UAAU;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,OAAG,SAAO,IAAE;AAAG,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,MAAGA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,OAAO,SAAS,CAAC,IAAE,IAAE,GAAE,MAAM;AAA7C,IAA+C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,MAAI,IAAE,IAAE,IAAE,GAAE,MAAM;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,OAAO,MAAM,CAAC,IAAE,IAAE,GAAE,MAAM;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,CAAC;AAArB,IAAuB,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAA9C,IAAgD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,IAAE,GAAE,MAAM;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,CAAC;AAArB,IAAuB,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAA9C,IAAgD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAS,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,GAAE,IAAE;AAAE,WAAK,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,WAAG,IAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,KAAK,IAAI,IAAE,IAAE,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG,KAAK,IAAI,EAAE,CAAC,GAAE,CAAC;AAAE,QAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAE,YAAI,MAAI,KAAG,KAAK,IAAI,GAAE,CAAC,CAAC,IAAG,KAAG,EAAE,CAAC,GAAE,EAAE,CAAC,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,OAAM,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,IAAI,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,IAAE;AAAA,EAAC;AAAC,IAAE,GAAE,KAAK,GAAE,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE;AAAE,SAAO,MAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,IAAG,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,EAAE,UAAS,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,EAAE,eAAe,EAAE,KAAK,GAAE,GAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,eAAe;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,MAAI,IAAE,KAAG;AAAE,kBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAI,yBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,sBAAI,KAAG,IAAE,MAAI;AAAE,sBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,aAAW,KAAK,MAAM,CAAC,MAAI;AAAG,6BAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,0BAAI,MAAI,IAAE,MAAI;AAAE,0BAAG,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAG;AAAS,0BAAI,KAAG,IAAE,IAAE,IAAE,IAAE,EAAE,IAAI,GAAE,IAAG,GAAE,IAAG,CAAC,GAAE,KAAG,IAAE,IAAE,IAAE,KAAG,IAAE,IAAG,KAAG,OAAK,KAAG,IAAE;AAAE,0BAAG,OAAK;AAAE;AAAS,0BAAI,KAAG,EAAE,IAAI,GAAE,IAAG,GAAE,IAAG,CAAC;AAAE,2BAAG,KAAG;AAAA,oBAAE;AAAA,gBAAC;AAAA,YAAC;AAAC,cAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,UAAS,EAAE,OAAM,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,aAAW,KAAK,MAAM,CAAC,MAAI;AAAG,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,IAAE,KAAG,KAAG,EAAE,YAAU,KAAK,MAAM,CAAC,MAAI;AAAE;AAAS,oBAAI,KAAG,IAAE,IAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,IAAE,IAAE,GAAE,IAAE,OAAK,KAAG,IAAE;AAAE,oBAAG,MAAI;AAAE;AAAS,oBAAI,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,qBAAG,KAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,MAAG,CAAC;AAAE,SAAM,CAAC,EAAE,QAAO,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,qBAAoB,EAAC,IAAE,GAAE,IAAEA;AAAE,IAAE,GAAE,mBAAmB;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,EAAE,UAAS,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,EAAE,UAAS,EAAE,KAAK;AAAE,SAAM,CAAC,EAAC,QAAO,GAAE,OAAM,EAAE,UAAS,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,GAAE,OAAM,EAAE,UAAS,OAAM,QAAO,CAAC;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,EAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,OAAC,OAAO,MAAM,CAAC,KAAG,IAAE,OAAK,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,KAAG,IAAE,EAAE,CAAC,IAAE;AAAG,QAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAOA,IAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,IAAE;AAAE,SAAO,IAAE,KAAG,IAAE,KAAG,KAAG,KAAG,KAAG,IAAEA,OAAGA,MAAE,KAAG;AAAC,CAAC;AAAlE,IAAoE,KAAG,GAAG,IAAG,EAAE;AAA/E,IAAiF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE;AAAE,MAAG,MAAI,OAAK,IAAE,IAAE,IAAG,MAAI,IAAE;AAAE,UAAM,MAAM,4EAA4E,iBAAiB,GAAG;AAAE,MAAI,IAAE,EAAE,eAAe,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,aAAa;AAAE,MAAI,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,GAAE,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,EAAE,SAAS,CAAC,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,EAAE;AAAO,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAG,IAAE,EAAE,CAAC,GAAE;AAAC,YAAE,IAAE,CAAC,IAAE;AAAE;AAAA,QAAK;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE;AAAE,IAAE,GAAE,mBAAmB;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,iBAAgB,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE;AAAE,IAAE,GAAE,yBAAyB;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE;AAAE,IAAE,GAAE,4BAA4B;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,CAAC,KAAG,KAAG,EAAE,CAAC,IAAE,MAAI,EAAE,IAAE,IAAE,EAAE,CAAC,CAAC,IAAE;AAAG,SAAOA,IAAE,eAAe,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,CAAC;AAAE,QAAI,KAAG,EAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAOA,IAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,kBAAiB,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,OAAO,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,IAAE,GAAE,EAAC,mBAAkB,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,CAAC;AAAnB,IAAqB,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,EAAE,cAAc,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI;AAAE,UAAE,IAAE,KAAG,IAAE,OAAI,MAAG,IAAE,IAAE;AAAE,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,KAAK,KAAK,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI;AAAE,YAAE,IAAE,KAAG,IAAE,OAAI,MAAG,IAAE,IAAE;AAAE,YAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,KAAK,KAAK,CAAC,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,KAAG,EAAE,IAAE,CAAC,GAAE,KAAG,EAAE,IAAE,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC,GAAE,KAAG,MAAI,KAAG,MAAI,GAAE,KAAG,MAAI,KAAG,MAAI,GAAE,KAAG,MAAI,KAAG,MAAI;AAAE,YAAE,GAAG,IAAE;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,oBAAoB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,KAAK,KAAK,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,KAAK,KAAK,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,cAAI,KAAG,EAAE,GAAG;AAAE,YAAE,KAAG,EAAE,KAAG,KAAG,IAAG,EAAE,KAAG,EAAE,KAAG,KAAG,IAAG,EAAE,IAAE,EAAE,KAAG,KAAG,IAAG,EAAE,KAAG,EAAE,KAAG,KAAG;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,KAAG,IAAE,OAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,IAAE,KAAK,MAAM,CAAC,CAAC;AAAE,YAAI,IAAE,KAAK,IAAI,GAAE,CAAC;AAAG,UAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,KAAG,IAAE,OAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,IAAE,KAAK,MAAM,CAAC,CAAC;AAAE,cAAI,IAAE,KAAK,IAAI,GAAE,CAAC;AAAG,YAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,EAAE,IAAE,CAAC;AAAE,YAAE,GAAG,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,2BAA2B;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI;AAAE;AAAS,gBAAI,IAAE,IAAE,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,EAAE,IAAE,KAAK,MAAM,EAAE,CAAC;AAAE,gBAAG,MAAI;AAAG,uBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,oBAAI,KAAG,KAAG;AAAE,oBAAG,KAAG,KAAG,MAAI;AAAE;AAAS,oBAAI,KAAG,IAAE,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,EAAE,IAAE,KAAK,MAAM,EAAE,CAAC;AAAE,sBAAI,OAAK,KAAG,EAAE,KAAG,CAAC;AAAA,cAAE;AAAA,UAAC;AAAC,YAAE,IAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,MAAM;AAAE,MAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,IAAE,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC,GAAE,IAAE,KAAI,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,KAAG,IAAE,KAAG,GAAE,KAAG,IAAE,KAAG,KAAG,IAAE,KAAG;AAAE,cAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC;AAAE,cAAI,IAAE;AAAE,cAAG,OAAO,KAAG,aAAW,MAAI,IAAE,IAAE,IAAE,IAAE,EAAE,CAAC,IAAG,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,IAAE,GAAE;AAAC,gBAAI,IAAE,KAAG,IAAE,IAAG,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAE,gBAAE,EAAE,CAAC;AAAA,UAAC;AAAC,cAAI,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC;AAAE,SAAO,IAAE,IAAE,MAAG,KAAK,MAAM,CAAC,IAAE,IAAE,IAAE,MAAG,KAAK,KAAK,CAAC,IAAE,IAAE,MAAI,IAAE,IAAE,IAAE;AAAC,CAAC;AAAnG,IAAqG,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,MAAG,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAOA,MAAE,KAAG,CAAC,GAAE,EAAE,CAAC,IAAE,IAAEA,MAAE,IAAE,IAAE,IAAE;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAOA,MAAE,KAAG,CAAC,GAAE,EAAE,CAAC,KAAG,IAAEA,MAAE,IAAE,IAAE,IAAE;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,SAAQA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAE,IAAG,IAAE,KAAG,CAAC,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,MAAI,SAAO,GAAG,GAAE,EAAE,IAAE,CAAC,CAAC,IAAE,GAAG,GAAE,EAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,MAAI,KAAG,IAAE,KAAG,EAAE,MAAM,WAAS,IAAE,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,MAAI,IAAE,EAAE,GAAG,IAAE,EAAE,CAAC,IAAE,EAAE,GAAG,IAAE,EAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAE;AAAT,IAAyB,KAAG,EAAE;AAA9B,IAAyC,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,KAAG,IAAE,MAAI,KAAK,IAAI,CAAC,IAAE,EAAE;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,IAAE,KAAG,IAAE,IAAE,IAAE,CAAC;AAA9B,IAAgC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6B,KAAG,KAAK,IAAI,EAAE,IAAE;AAA7C,IAA+C,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,IAAE,CAAC,IAAGA,MAAE,IAAE,IAAG,IAAE,KAAK,IAAI,CAAC,GAAE;AAAE,SAAOA,MAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,KAAK,IAAI,IAAE,CAAC,GAAE;AAAC,CAAC;AAApI,IAAsI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjtuG,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,QAAO,IAAI,WAAW,EAAE,IAAI,OAAG,OAAO,CAAC,CAAC,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACnjB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,MAAM,KAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,MAAM,KAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,YAC9mB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,IAAE;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACvhB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,OAAG,IAAEA,IAAE,WAAW,CAAC,GAAE;AAAE,UAAO,EAAE,OAAM;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,CAAC,CAACA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC;AAAQ,YAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,GAAEA,IAAC,IAAE,GAAE,IAAE;AAAE,IAAEA,KAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,KAAK,IAAIA,IAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,IAAE;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAEA,IAAE,OAAMA,IAAE,KAAK,GAAE,OAAMA,IAAE,OAAM,OAAMA,IAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,GAAG,IAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE;AAAE,SAAO,MAAM,CAAC,IAAE,MAAI,IAAE,IAAE,IAAEA,IAAE;AAAK,CAAC;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE;AAAE,IAAE,GAAE,cAAc;AAAE,MAAG,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAO,SAAM,CAACA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,GAAGA,IAAE,WAAW,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAEA,KAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,CAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,MAAM,CAAC,MAAI,IAAE,IAAE,EAAE,SAAS,IAAE,GAAE,IAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,GAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE;AAAE,cAAG,MAAI;AAAE;AAAS,cAAI,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,GAAE,MAAI,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,GAAE,KAAG,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,IAAG,GAAE,CAAC;AAAE,kBAAO,GAAE;AAAA,YAAC,KAAI;AAAU,kBAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,CAAC;AAAE;AAAA,YAAM,KAAI;AAAW,kBAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,CAAC;AAAE;AAAA,YAAM;AAAQ,oBAAM,IAAI,MAAM,+DAA+D,GAAG;AAAA,UAAC;AAAC,cAAI,KAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,EAAE,IAAE;AAAA,QAAC;AAAC,WAAO,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAOA,KAAE;AAAA,IAAC,KAAI;AAAU,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAU,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW;AAAQ,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAGA,MAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,MAAE,MAAIA,MAAE,IAAE,KAAK,MAAM,CAACA,MAAE,CAAC,IAAEA,MAAGA,MAAEA,MAAE,CAAC,IAAEA,MAAE,IAAE,CAACA,MAAE;AAAA,IAAC;AAAA,WAASA,MAAE,IAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,IAAE,KAAK,MAAMA,MAAE,CAAC,GAAEA,OAAG,MAAIA,MAAE,IAAEA,MAAE;AAAA,IAAE;AAAC,SAAO,EAAE,MAAM,GAAEA,KAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAGA,MAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,KAAG,KAAK,MAAM,CAACA,MAAE,CAAC,IAAE;AAAA,IAAE;AAAA,WAASA,MAAE,IAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,IAAE,KAAK,MAAMA,MAAE,CAAC;AAAA,IAAC;AAAC,SAAO,EAAE,MAAM,GAAEA,KAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,MAAM,GAAE,GAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,SAAO,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,IAAEA,MAAE,EAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,MAAM,CAAC;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,UAAO,IAAE,KAAG,KAAG,IAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA,KAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,cAAa,GAAE,aAAY,GAAE,SAAQ,EAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAE,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE;AAAE,IAAE,GAAE,oBAAoB;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,IAAE,EAAC,EAAC,CAAC;AAAE,QAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,OAAO,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAG,KAAG,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,kBAAiB,MAAI,IAAG,yBAAwB,MAAI,IAAG,+BAA8B,MAAI,IAAG,oCAAmC,MAAI,IAAG,iBAAgB,MAAI,IAAG,oCAAmC,MAAI,IAAG,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,sBAAqB,MAAI,IAAG,mBAAkB,MAAI,IAAG,eAAc,MAAI,IAAG,yBAAwB,MAAI,IAAG,0BAAyB,MAAI,IAAG,eAAc,MAAI,IAAG,oBAAmB,MAAI,IAAG,aAAY,MAAI,IAAG,qBAAoB,MAAI,IAAG,4BAA2B,MAAI,IAAG,wBAAuB,MAAI,IAAG,gBAAe,MAAI,IAAG,2BAA0B,MAAI,IAAG,kCAAiC,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,iCAAgC,MAAI,IAAG,mCAAkC,MAAI,IAAG,sBAAqB,MAAI,IAAG,wBAAuB,MAAI,IAAG,cAAa,MAAI,IAAG,oCAAmC,MAAI,IAAG,+BAA8B,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,uBAAsB,MAAI,IAAG,aAAY,MAAI,IAAG,2BAA0B,MAAI,IAAG,qBAAoB,MAAI,IAAG,0BAAyB,MAAI,IAAG,mCAAkC,MAAI,IAAG,mBAAkB,MAAI,IAAG,qBAAoB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAR,IAAU,KAAG,EAAC,OAAM,OAAG,WAAU,OAAG,oBAAmB,OAAG,uBAAsB,OAAG,OAAM,OAAG,SAAQ,OAAG,8BAA6B,KAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,KAAK,OAAK,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAG,MAAI;AAAK,SAAG,CAAC,IAAE;AAAA;AAAO,aAAO,QAAQ,IAAI,2CAA0C,CAAC,GAAE;AAAA,EAAI;AAAC,MAAIA,MAAE,GAAG,CAAC;AAAE,SAAOA,OAAG,QAAMA,IAAE,cAAc,KAAG,OAAO,GAAG,CAAC,GAAE,GAAG,CAAC,MAAIA,IAAE,QAAQA,IAAE,UAAU,GAAEA,IAAE,QAAQA,IAAE,YAAY,GAAEA,IAAE,QAAQA,IAAE,KAAK,GAAEA,IAAE,QAAQA,IAAE,MAAM,GAAEA,IAAE,QAAQA,IAAE,mBAAmB,GAAEA,IAAE,QAAQA,IAAE,eAAe,GAAEA,IAAE,OAAOA,IAAE,YAAY,GAAEA,IAAE,OAAOA,IAAE,SAAS,GAAEA,IAAE,SAASA,IAAE,IAAI,GAAE,GAAG,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,OAAO,mBAAiB,eAAa,MAAI;AAAE,WAAO,IAAI,gBAAgB,KAAI,GAAG;AAAE,MAAG,OAAO,YAAU;AAAY,WAAO,SAAS,cAAc,QAAQ;AAAE,QAAM,IAAI,MAAM,wCAAwC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,KAAG,MAAI;AAAE,UAAM,IAAI,MAAM,wDAAwD;AAAE,MAAIA,MAAE,KAAG,OAAK,GAAG,CAAC,IAAE;AAAE,SAAOA,IAAE,iBAAiB,oBAAmB,OAAG;AAAC,MAAE,eAAe,GAAE,OAAO,GAAG,CAAC;AAAA,EAAC,GAAE,KAAE,GAAE,EAAE,EAAE,QAAQ,wBAAwB,MAAI,GAAG,+BAA6B,QAAI,MAAI,IAAEA,IAAE,WAAW,SAAQ,EAAE,KAAGA,IAAE,WAAW,sBAAqB,EAAE,IAAEA,IAAE,WAAW,UAAS,EAAE;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,eAAa,CAAC,IAAE;AAAc,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,WAAS,CAAC,IAAE;AAAU,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,mBAAiB,CAAC,IAAE,oBAAmB,EAAE,EAAE,mBAAiB,CAAC,IAAE,oBAAmB,EAAE,EAAE,2BAAyB,CAAC,IAAE,4BAA2B,EAAE,EAAE,qBAAmB,CAAC,IAAE,sBAAqB,EAAE,EAAE,qBAAmB,CAAC,IAAE;AAAoB,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAEA,MAAE,KAAK,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,oBAAoBA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,KAAK,IAAI,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC,GAAE,KAAK,IAAI,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAACA,KAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,MAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,IAAEA,IAAE,MAAK,IAAEA,IAAE,MAAK,IAAEA,IAAE,SAAQ,IAAEA,IAAE,SAAQ,IAAEA,IAAE,KAAI,IAAE,GAAE,IAAE,GAAE,IAAEA,IAAE,YAAW,IAAEA,IAAE,OAAM,IAAEA,IAAE,UAAQ,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAEA,IAAE,MAAK,IAAE,EAAE,MAAK,IAAE,GAAE,IAAE,GAAE,IAAE,KAAG,OAAK,EAAE,iBAAe,MAAK,IAAE,EAAE,OAAM,IAAE,EAAE,OAAM,EAAC,qBAAoB,GAAE,yBAAwB,GAAE,+BAA8B,GAAE,2BAA0B,GAAE,oBAAmB,GAAE,uBAAsB,GAAE,2BAA0B,GAAE,oBAAmB,GAAE,sBAAqB,GAAE,kBAAiB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAE,SAAO,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,SAAS;AAAE,MAAG,MAAI,EAAE;AAAS,UAAM,IAAI,MAAM,kBAAgB,GAAG,GAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAe,KAAG;AAAM,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,EAAE,EAAE,EAAE,QAAQ,8BAA8B,KAAG,MAAI,KAAG,KAAG,KAAK,IAAI,CAAC,KAAG,KAAK,IAAI,CAAC,IAAE;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAS,aAAM;AAAA,IAAW,KAAK,EAAE;AAAa,aAAM;AAAA,IAAe,KAAK,EAAE;AAAc,aAAM;AAAA,IAAgB,KAAK,EAAE;AAAkB,aAAM;AAAA,IAAoB,KAAK,EAAE;AAA8B,aAAM;AAAA,IAAgC,KAAK,EAAE;AAAc,aAAM;AAAA,IAAgB,KAAK,EAAE;AAAmB,aAAM;AAAA,IAAqB;AAAQ,aAAM,sBAAsB;AAAA,EAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,aAAa,CAAC,GAAE,gBAAc,IAAE,kCAAkC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,aAAa,GAAE,sCAAsC;AAAE,MAAG,GAAG,GAAE,MAAI,EAAE,aAAaA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAcA,GAAC,CAAC,GAAE,EAAE,mBAAmBA,KAAE,EAAE,cAAc,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,iBAAiBA,GAAC,CAAC,GAAE,IAAI,MAAM,kCAAkC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,eAAe,GAAE,wCAAwC;AAAE,MAAG,GAAG,GAAE,MAAI,EAAE,aAAaA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAcA,GAAC,CAAC,GAAE,EAAE,EAAE,IAAI,qBAAqB;AAAE,WAAOA;AAAE,MAAG,EAAE,mBAAmBA,KAAE,EAAE,cAAc,MAAI;AAAG,UAAM,GAAG,GAAE,EAAE,iBAAiBA,GAAC,CAAC,GAAE,IAAI,MAAM,oCAAoC;AAAE,SAAOA;AAAC;AAAC,IAAI,KAAG;AAA2B,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,KAAK,CAAC;AAAE,MAAGA,OAAG,MAAK;AAAC,YAAQ,IAAI,wCAAwC,GAAG,GAAE,QAAQ,IAAI,CAAC;AAAE;AAAA,EAAM;AAAC,MAAI,IAAE,CAACA,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM;AAAA,CAC//b,GAAE,IAAE,EAAE,OAAO,SAAS,EAAE,SAAO,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,UAAU,IAAE,GAAG,SAAS,GAAE,CAAC,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,KAAK,IAAI,EAAE,CAAC,EAAE,QAAO,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,UAAQ,IAAI,EAAE,KAAK;AAAA,CACjN,CAAC,GAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,CAAC,CAAC,GAAE,QAAQ,IAAI,MAAM,EAAE,SAAS,EAAE,CAAC,GAAE,CAAC,KAAI,+DAA+D,GAAE,QAAQ,IAAI,EAAE,KAAK;AAAA,CACjI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,gCAAgC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,MAAI,EAAE,YAAY,CAAC,CAAC,GAAE,CAAC,EAAE,EAAE,IAAI,qBAAqB,KAAG,EAAE,oBAAoB,GAAE,EAAE,WAAW,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,IAAI,MAAM,6CAA6C;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,MAAI,EAAE,gBAAgB,CAAC,CAAC,GAAE,EAAE,oBAAoB,GAAE,EAAE,eAAe,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,IAAI,MAAM,mCAAmC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,8BAA8B;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAaA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,GAAE,EAAE,WAAW,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,8BAA8B;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqBA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqB,GAAE,EAAE,WAAW,CAAC,GAAEA;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,gCAAgC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,EAAE,UAAU,wBAAwB;AAAE,MAAG,KAAG,KAAG,KAAG,GAAE;AAAC,QAAI,IAAE,IAAI,KAAK;AAAK,UAAM,IAAI,MAAM,4BAA0B,IAAE,cAAc;AAAA,EAAC;AAAC,MAAG,IAAEA,OAAG,IAAEA,KAAE;AAAC,QAAI,IAAE,IAAI,KAAK,MAAK,IAAE,IAAIA,OAAKA;AAAK,UAAM,IAAI,MAAM,4BAA0B,IAAE,uDAAqD,IAAE,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,kBAAkB,GAAE,oCAAoC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,GAAEA,GAAC;AAAE,SAAO,MAAI,KAAG,SAAI,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,oBAAoB,GAAE,GAAE,EAAE,OAAM,OAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,wBAAwB,CAAC,CAAC,GAAE;AAAG;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAEA,GAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,WAASA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,GAAE,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,WAAS,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,mBAAmB,GAAEA,GAAC,GAAE,cAAYA,MAAE,2BAA2B;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,mBAAmB,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,KAAG,GAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,UAAUA,KAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,SAAS,GAAE,GAAE,EAAE,OAAO,OAAM,EAAE,OAAO,MAAM,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,QAAQ,GAAE,GAAE,EAAE,OAAO,OAAM,EAAE,OAAO,MAAM,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAYA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,MAAK,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW;AAAE,MAAG,MAAI,EAAE;AAAqB,UAAM,IAAI,MAAM,gCAA8B,GAAG,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAkC,aAAM;AAAA,IAAoC,KAAK,EAAE;AAA0C,aAAM;AAAA,IAA4C,KAAK,EAAE;AAAkC,aAAM;AAAA,IAAoC,KAAK,EAAE;AAAwB,aAAM;AAAA,IAA0B;AAAQ,aAAM,iBAAiB;AAAA,EAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAMA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,mCAAiC,GAAE,IAAE,IAAE,EAAE;AAAS,MAAG,IAAE,EAAE,YAAU,IAAEA,KAAE;AAAC,QAAI,IAAE,2BAA2BA;AAAK,UAAM,IAAI,MAAM,0BAA0B,IAAI;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,SAAO,EAAE,cAAc,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,UAAM,MAAM,sDAAsD;AAAE,SAAM,CAAC,EAAE,SAAO,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,EAAE,EAAE,SAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,WAAS,KAAG,EAAE,WAAS,KAAG,EAAE,CAAC,MAAI,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,GAAG,GAAG,CAAC,CAAC,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAIA,MAAE,EAAE,EAAE,UAAU,wBAAwB,GAAE,IAAE,EAAE,EAAE,UAAU,mCAAmC;AAAE,QAAI,IAAE,KAAG,EAAE,EAAE,QAAQ,0CAA0C,MAAI,IAAEA,MAAE,IAAG,MAAIA,MAAEA,MAAE,GAAE,IAAE,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,EAAE,SAAO,IAAE,EAAE,kBAAkB,EAAE,CAAC,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,EAAE,WAAS,MAAI,IAAE,CAAC,GAAE,EAAE,CAAC,CAAC,KAAI,EAAE,WAAS,MAAI,IAAE,EAAE,aAAa,CAAC,EAAE;AAAU,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE;AAAK,IAAE,UAAQ,KAAG,KAAGA,MAAE,IAAE,CAAC,GAAE,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,QAAI,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,KAAG,QAAM,KAAK,IAAI,GAAG,CAAC,IAAE,KAAG,KAAK,IAAI,GAAG,CAAC,MAAI,IAAE,IAAE,MAAI,KAAK,IAAI,GAAG,CAAC,IAAE;AAAE,MAAG,KAAG,QAAM;AAAE,QAAG,GAAE;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,QAAE,WAAS,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,IAAG,IAAE,KAAG,IAAE,MAAI,IAAE,IAAG,IAAE,EAAE,oBAAoB,CAAC,EAAE,IAAI,OAAG,IAAE,CAAC;AAAA,IAAC;AAAM,UAAE,EAAE,oBAAoB,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,EAAE,YAAY,GAAE,CAAC,KAAG,CAAC,EAAE,UAAQ,CAAC,EAAE,UAAQ,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,WAAM;AAAG,MAAG,EAAE,WAAS,EAAE,QAAO;AAAC,QAAIA,MAAE,EAAE,MAAM,EAAE,EAAE,CAAC,GAAE,IAAE,EAAE,MAAM,EAAE,EAAE,CAAC;AAAE,QAAGA,QAAI,KAAG,GAAGA,GAAC,KAAG,GAAG,CAAC,MAAI,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAG,aAAM;AAAA,EAAE;AAAC,SAAO,EAAE,CAAC,MAAI,EAAE,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI;AAAJ,IAAO;AAAG,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAG,EAAE,aAAa,EAAE,gBAAgB;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,KAAI;AAAC,OAAG;AAAI;AAAC,SAAS,KAAI;AAAC,OAAG;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAG,EAAE,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC,SAAO,KAAK,IAAI,IAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAO;AAAE,MAAI,GAAEA,MAAE,GAAG,CAAC;AAAE,SAAO,GAAGA,KAAE,iCAAiC,KAAG,MAAI,IAAE,IAAE,IAAE,GAAGA,KAAE,0BAA0B,IAAE,IAAE,IAAE,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,aAAa,CAAC,KAAG;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAC,QAAG,GAAG,CAAC,KAAG;AAAK,aAAM;AAAA,EAAE,SAAO,GAAN;AAAS,WAAO,QAAQ,IAAI,sCAAqC,CAAC,GAAE;AAAA,EAAE;AAAC,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,CAAC,GAAG,GAAE,mBAAmB;AAAE,aAAM;AAAA,EAAE,WAAS,CAAC,GAAG,GAAE,wBAAwB;AAAE,WAAM;AAAG,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,CAAC,GAAG,GAAE,mBAAmB,KAAG,CAAC,GAAG,GAAE,0BAA0B;AAAE,aAAM;AAAA,EAAE,OAAK;AAAC,QAAG,GAAG,GAAE,wBAAwB;AAAE,aAAO,GAAG,CAAC;AAAE,QAAI,IAAE;AAA8B,QAAG,GAAG,GAAE,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,aAAa,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAEA,MAAE,EAAE,cAAc;AAAE,IAAE,YAAY,EAAE,YAAWA,GAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,IAAE,WAAW,EAAE,YAAW,GAAE,EAAE,qBAAoB,GAAE,GAAE,GAAE,EAAE,oBAAmB,EAAE,kBAAiB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB;AAAE,IAAE,gBAAgB,EAAE,aAAY,CAAC,GAAE,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAWA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW,MAAI,EAAE;AAAqB,SAAO,EAAE,YAAY,EAAE,YAAW,IAAI,GAAE,EAAE,gBAAgB,EAAE,aAAY,IAAI,GAAE,EAAE,cAAcA,GAAC,GAAE,EAAE,kBAAkB,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc;AAAE,IAAE,YAAY,EAAE,YAAW,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,IAAE,WAAW,EAAE,YAAW,GAAEA,IAAE,yBAAwB,GAAE,GAAE,GAAEA,IAAE,oBAAmBA,IAAE,sBAAqB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB;AAAE,IAAE,gBAAgB,EAAE,aAAY,CAAC,GAAE,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW,MAAI,EAAE;AAAqB,SAAO,EAAE,YAAY,EAAE,YAAW,IAAI,GAAE,EAAE,gBAAgB,EAAE,aAAY,IAAI,GAAE,EAAE,cAAc,CAAC,GAAE,EAAE,kBAAkB,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,IAAE,QAAG,GAAG,CAAC,EAAE,aAAW;AAAI;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,4DAA4D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,aAAY,MAAI,GAAG,UAAU,eAAe,IAAE,CAAC;AAAE,GAAG,aAAa,iBAAgB,MAAI,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,IAAE,IAAE,CAAC;AAAE,GAAG,aAAa,kCAAiC,MAAI,KAAE;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,IAAI,eAAe,MAAI,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,IAAE;AAAE,GAAG,aAAa,4BAA2B,MAAI,KAAE;AAAE,GAAG,aAAa,cAAa,MAAI,GAAG,QAAQ,WAAW,CAAC;AAAE,GAAG,aAAa,4BAA2B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,mBAAkB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,4BAA2B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,uBAAsB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gDAA+C,MAAI;AAAC,MAAI,IAAE,GAAG,UAAU,eAAe;AAAE,SAAO,MAAI,IAAE,IAAE,GAAG,CAAC;AAAC,CAAC;AAAE,GAAG,aAAa,iDAAgD,MAAI,GAAG,UAAU,8CAA8C,IAAE,KAAG,CAAC,GAAG,SAAS,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,QAAQ,0BAA0B,IAAE,QAAG,GAAG,QAAQ,8BAA8B,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,2BAA0B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,6BAA4B,MAAI,GAAG,QAAQ,8BAA8B,IAAE,IAAE,CAAC;AAAE,GAAG,aAAa,kCAAiC,MAAI,IAAG,OAAG;AAAC,MAAG,IAAE,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,8FAA8F,IAAI;AAAC,CAAC;AAAE,GAAG,aAAa,yBAAwB,MAAI,GAAG,SAAS,IAAE,IAAE,IAAG,OAAG;AAAC,MAAG,IAAE,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,2FAA2F,IAAI;AAAC,CAAC;AAAE,GAAG,aAAa,8BAA6B,MAAI,GAAG;AAAE,GAAG,aAAa,6BAA4B,MAAI,KAAE;AAAE,GAAG,aAAa,4CAA2C,MAAI,GAAG;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG;AAAE,GAAG,aAAa,kBAAiB,MAAI,KAAE;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,QAAQ,SAAS,CAAC;AAAE,GAAG,aAAa,qCAAoC,MAAI,IAAE,CAAC;AAAE,GAAG,aAAa,4CAA2C,MAAI,KAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,SAAS,KAAI;AAAC,MAAI,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,IAAE,mBAAkB,IAAE,MAAKA,MAAE,OAAM,IAAE,MAAK,IAAE,WAAU,IAAE,eAAc,IAAE,yBAAwB,IAAE,EAAE,EAAE,QAAQ,qBAAqB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAY1qU,IAAG,IAAE,IAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASR,IAAE,IAAG,IAAE,aAAYA,MAAE,WAAU,IAAE,WAAU,IAAE,aAAY,IAAE,gBAAe,IAAE,IAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQnF,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OASF,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAQD,EAAC,SAAQ,GAAE,WAAU,GAAE,WAAUA,KAAE,WAAU,GAAE,WAAU,GAAE,QAAO,GAAE,cAAa,GAAE,kBAAiB,GAAE,kBAAiB,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,SAAO,KAAI,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,OAAO,MAAI,YAAY,EAAE,CAAC,OAAO;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,yBAAuB,MAAK,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,uBAAuB,OAAK,YAAY,EAAE,CAAC,uBAAuB;AAAK,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,QAAO,IAAE,EAAE,IAAI,OAAG,GAAG,KAAK,IAAI,GAAE,IAAE,IAAI,MAAMA,MAAE,CAAC;AAAE,IAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,KAAG,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,IAAI,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAK,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,KAAI,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,OAAO,EAAE,CAAC,MAAI,YAAY,EAAE,CAAC,OAAO,EAAE,CAAC;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC,EAAE,IAAI,CAAAA,QAAGA,IAAE,SAAS,CAAC;AAAE,SAAM;AAAA;AAAA,wBAE9iC,EAAE,CAAC,kBAAkB,EAAE,CAAC;AAAA;AAAA;AAE/C;AAAC,SAAS,KAAI;AAAC,SAAM;AAAA;AAAA;AAAA;AAAA;AAIrB;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAuCP,IAAG,EAAC,kBAAiB,GAAE,IAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,EAAE,cAAc,EAAE,UAAU,YAAY;AAAE,QAAG,EAAE,UAAU,YAAU,EAAE,KAAK,iBAAiB,EAAE,OAAO,IAAE,IAAE,IAAI,OAAK,KAAK,KAAG,EAAE,KAAK,qBAAqB,EAAE,OAAO,GAAE,EAAE,KAAK,qBAAqB,EAAE,OAAO,IAAGA,IAAE,qBAAoB;AAAC,UAAG,EAAC,cAAa,EAAC,IAAE,GAAGA,IAAE,cAAa,EAAE,UAAU,cAAa,EAAE,UAAU,QAAQ;AAAE,cAAO,EAAE,QAAO;AAAA,QAAC,KAAK;AAAE,YAAE,KAAK,eAAe,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM;AAAQ;AAAA,MAAK;AAAC,QAAE,KAAK,iBAAiB,EAAE,eAAe;AAAA,IAAC;AAAA,EAAC,CAAC,GAAEA,IAAE,qBAAoB;AAAC,YAAO,EAAE,aAAa,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,KAAK,uBAAuB;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,8BAA8B;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,gCAAgC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,gCAAgC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAC,MAAE,KAAK,4BAA4B;AAAA,EAAC;AAAC,EAAAA,IAAE,kBAAgBA,IAAE,eAAe,QAAQ,OAAG;AAAC,MAAE,KAAK,WAAW,EAAE,QAAQ,EAAE,OAAO,EAAE,aAAW,IAAI,EAAE,gBAAc,KAAK;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK;AAAA,CACxsC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,GAAE,GAAEA,IAAE,cAAaA,IAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CAChE,GAAE,IAAE,EAAE,UAAS,IAAE,GAAG,GAAE,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,EAAE,YAAU,IAAE,GAAG,EAAE,cAAa,GAAEA,IAAE,mBAAmB,GAAE,IAAE,GAAG,CAAC,MAAI,IAAE,GAAG,EAAE,cAAa,GAAEA,IAAE,mBAAmB,GAAE,IAAE,GAAG,CAAC,IAAGA,IAAE,iBAAe,KAAG,KAAI,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAEA,IAAE,QAAQ,EAAE,KAAK;AAAA,CAChO;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAIA,MAAE,EAAE,UAAU;AAAa,UAAOA,IAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,GAAGA,IAAE,8CAA8C;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,EAAE,UAAU,aAAa,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE;AAAQ,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,GAAE;AAAC,MAAI,IAAE;AAAG,EAAAA,MAAE,KAAG,GAAG,GAAE,CAAC,IAAE,KAAG,GAAG,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,UAAU,cAAa,IAAE,EAAE;AAAa,SAAO,EAAE,UAAQ,EAAE,WAASA,MAAE,KAAG,GAAG,GAAE,CAAC,IAAE,KAAG,GAAG,GAAE,CAAC,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE;AAAQ,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,GAAG,EAAE,+CAA+C;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,eAEniC,EAAE;AAAA;AAAA;AAEd;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,QAEjB,EAAE;AAAA;AAAA;AAEP;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,QAEjB,EAAE;AAAA;AAAA;AAEP;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,GAAG,EAAE;AAAA;AAAA;AAAA;AAAA,MAIxB,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBF,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBF;AAAA,MACA;AAAA,MACA;AAAA;AACH;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAYF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAZD,IAoBF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AApBD,IA6BF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAWH,SAAS,KAAI;AAAC,SAAM;AAAA;AAAA;AAAA;AAAA;AAInB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAO,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAI/E;AAAA;AAAA,sCAEgC,EAAE,CAAC;AAAA;AAAA,QAEnC,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAIX;AAAA;AAAA,sCAEgC,EAAE,CAAC;AAAA;AAAA,QAEnCA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA;AAEjC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAInC;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,QAE/B,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAIX;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,QAE/BA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,4BACpB,EAAE,CAAC;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAiB9B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,oCAG5D,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA,wBAEZ;AAAA,qBACH;AAAA;AAAA,6BAEQ;AAAA,4BACD;AAAA;AAAA;AAAA;AAAA;AAIzB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK5B,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGtB,MAAI,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,QAC5B;AAAA;AAAA;AAAA;AAGL;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAsB9B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,EAAE,SAAO,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,EAAE,SAAO,CAAC,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,IAAG,IAAE;AAAU,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,SAAG,EAAE,EAAE,SAAO,IAAE,CAAC,GAAE,IAAE;AAAA,aACtK,eAAe;AAAA,kBACV,OAAO;AAAA,QACnB,GAAE,IAAE,IAAI,QAAM;AAAE,SAAM;AAAA,UAClB,EAAE;AAAA;AAAA,oCAEwB,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA,QAE5B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ;AAAA,4BACD;AAAA;AAAA,mBAET,EAAE,UAAU;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK1B,GAAG,CAAC,KAAI,KAAI,KAAI,IAAI,GAAE,CAAC;AAAA;AAAA;AAAA;AAG3B,MAAI,IAAE,GAAG,CAAC,KAAI,KAAI,KAAI,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA,QAC5B;AAAA;AAAA;AAAA;AAGL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,KAAI,KAAI,KAAI,MAAK,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA,kDAEb,EAAE,CAAC;AAAA,+BACtB,EAAE,CAAC;AAAA;AAAA,iCAED,EAAE,CAAC;AAAA;AAAA,QAE5BA;AAAA;AAAA;AAAA;AAAA;AAAA;AAKL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,KAAI,KAAI,KAAI,MAAK,MAAK,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,eAGrD,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA;AAAA,QAE5BA;AAAA;AAAA;AAAA;AAAA;AAAA;AAKL;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,MAAG,EAAE,YAAY,GAAE,CAAC;AAAE,WAAOA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA,QAK5F;AAAA;AAAA,8CAEwC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA;AAEpD,MAAI,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC;AAAE,SAAOA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAanC;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA,iCAEf,EAAE,CAAC;AAAA,6BACP;AAAA,4BACD;AAAA;AAAA;AAAA;AAAA;AAIzB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,YAAY,GAAE,CAAC,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAI7C;AAAA;AAAA,0CAEoC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA,QAEhD,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,QAGhC,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,QAGhCA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,wBACZ,EAAE,CAAC;AAAA,4BACC,EAAE,CAAC;AAAA;AAAA;AAAA;AAG5B;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,SAAS;AAAG;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAKA,MAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG;AAAE,SAAM;AAAA,WACjHA;AAAA,eACI,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM,SAAS,eAAeA;AAAM,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU;AAAS,MAAG,MAAI,KAAG,MAAI;AAAE,WAAM;AAAA,cAClL;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,MAAG;AAAE,WAAM;AAAA,YACjB;AAAA,6BACiBA,mBAAiBA,mBAAiB;AAAA,6BAClCA;AAAA;AAAA;AAEzB,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU;AAAS,SAAM;AAAA,YAC5B;AAAA,6BACiB,MAAM,MAAM;AAAA,6BACZA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WAC7G;AAAA,gDACqCA,sCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA;AAE1B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAM;AAAA,WAC3C;AAAA;AAAA,UAED,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,eACP,EAAE,aAAaA;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cAChG;AAAA,UACJ,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,MAAI;AAAE,WAAM;AAAA,cACvD;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAO,MAAI,IAAE,IAAE;AAAA,cACnB;AAAA,6CAC+B,qBAAqBA;AAAA,+BACnCA;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA,6CAC+B,eAAe;AAAA,+BAC7BA;AAAA;AAAA,QAEzB,MAAI,IAAE,IAAE;AAAA,cACA;AAAA,wCAC0B,qBAAqBA;AAAA,+BAC9BA;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA,wCAC0B,eAAe;AAAA,+BACxBA;AAAA;AAAA,QAEzB,IAAE;AAAA,YACI;AAAA,6BACiBA,mBAAiBA,2BAAyB;AAAA,6BAC1CA;AAAA;AAAA,MAEzB;AAAA,YACQ;AAAA,6BACiB,MAAM,cAAc;AAAA,6BACpBA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG;AAAE,MAAG,KAAG,QAAM,EAAE,YAAYA,KAAE,CAAC;AAAE,WAAO,IAAE;AAAA,aACjL;AAAA,qDACwC,iBAAiB;AAAA;AAAA,iBAErD,EAAE,aAAa;AAAA;AAAA,QAE1B;AAAA,aACO;AAAA,qDACwC,QAAQ;AAAA;AAAA,iBAE5C,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAG;AAAE,WAAM;AAAA,WACN;AAAA,gDACqC,oCAAoC;AAAA,0CAC1C;AAAA;AAAA,eAE3B,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA,WAC/D;AAAA,iCACsB,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,eACpC,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU;AAAS,MAAG,KAAG,QAAM,EAAE,YAAYA,KAAE,CAAC,GAAE;AAAC,QAAG;AAAE,aAAM;AAAA,cAC9J;AAAA,qDACuC,iBAAiB;AAAA,+BACvC;AAAA;AAAA;AAEzB,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAM;AAAA,YAClB;AAAA,mDACuC,QAAQ;AAAA,6BAC9B;AAAA;AAAA;AAAA,EAE1B;AAAC,MAAG,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC,GAAE,IAAE;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,KAAK;AAAE,WAAM;AAAA,QACvG,GAAG,GAAE,CAAC;AAAA,cACA;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA,qDACuCA,IAAE,CAAC;AAAA,UAC9C,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,MAAI,IAAE,IAAE;AAAA,cACjC;AAAA,2CAC6B,YAAY;AAAA,oDACH;AAAA,+BACrB;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,yCAC6B,YAAYA,IAAE,CAAC;AAAA,4CACZ;AAAA,6BACf;AAAA;AAAA,MAEzB,MAAI,IAAE,IAAE;AAAA,cACE;AAAA,2CAC6B,YAAY;AAAA,+CACR;AAAA,+BAChB;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,yCAC6B,YAAYA,IAAE,CAAC;AAAA,uCACjB;AAAA,6BACV;AAAA;AAAA,MAEzB,IAAE;AAAA,cACQ;AAAA;AAAA,4BAEc,qBAAqB;AAAA,+BAClB,iBAAiB;AAAA,+BACjB;AAAA;AAAA,QAEzB;AAAA,UACI;AAAA;AAAA,wBAEcA,IAAE,CAAC,aAAa;AAAA,2BACb,MAAM;AAAA,2BACN;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,CAAC,MAAI,GAAE;AAAC,QAAI,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,KAAI,OAAM,KAAK;AAAE,WAAM;AAAA,UACvO,GAAG,GAAE,CAAC;AAAA,eACD;AAAA,mBACI,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAI,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WACnB;AAAA,gDACqC,oCAAoC;AAAA,0CAC1C;AAAA,0DACgB;AAAA;AAAA;AAAA,eAG3C,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA,WAC3D;AAAA;AAAA,UAED,MAAM,MAAM,MAAM;AAAA,eACb,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC,GAAE,IAAE;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,OAAO;AAAE,WAAM;AAAA,UACnO,GAAG,GAAE,CAAC;AAAA,gBACA;AAAA,mBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACzB;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7B,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,UAAU;AAAW,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACrF;AAAA,wBACU;AAAA;AAAA;AAAA;AAAA,0BAIE,iBAAiB;AAAA,+BACZ;AAAA;AAAA,QAEzB;AAAA,gBACU;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExB,QAAQ;AAAA,iCACH;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACrB;AAAA,gDACkC;AAAA;AAAA,uDAEO,iBAAiB;AAAA,+BACzC;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,8CACkCA,IAAE,CAAC;AAAA;AAAA,qDAEI,QAAQ;AAAA,6BAChC;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAE;AAAA,YACb;AAAA;AAAA,sBAEU,eAAe;AAAA,sBACf;AAAA,4DACsC;AAAA,6BAC/B,iBAAiB;AAAA,6BACjB;AAAA;AAAA,QAEvB;AAAA,cACQ;AAAA;AAAA,4BAEc,aAAa,eAAe;AAAA,+BACzB,MAAM;AAAA,+BACN;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WACtF;AAAA,0CAC+BA;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,sCAAoCA;AAAA;AAAA;AAAA,mGAGe,EAAE,aAAaA;AAAA;AAAA;AAE9G,MAAI,IAAE,EAAE,UAAU,cAAa,IAAE,EAAE,QAAO,IAAE,EAAE,UAAU,UAAS,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,2BAA0B,IAAE,OAAO,mBAAmB;AAAgB,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE;AAAI,QAAE,QAAQ,QAAM,GAAE,KAAG,EAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAI,OAAO,SAAO;AAAE,SAAM;AAAA,WACtT,KAAK;AAAA,oBACI;AAAA,2BACO;AAAA,kCACO;AAAA,qDACmB,MAAM;AAAA,eAC5C,EAAE,aAAaA;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,CAAC,IAAE,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,QAAQ;AAAE,WAAM;AAAA,QAChP,GAAG,GAAE,CAAC;AAAA,cACA;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA;AAAA,iCAEmB,MAAM,MAAM;AAAA,UACnC,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,iBAAiB,cAAa,IAAE,iBAAiB,wBAAuB,IAAE,iBAAiB;AAAuB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACzM;AAAA,UACJ;AAAA,UACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB,iBAAiB;AAAA,+BACZ;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEH,QAAQ;AAAA,+BACH;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACnB;AAAA;AAAA,gCAEkB,eAAe,cAAc;AAAA;AAAA;AAAA,yBAGpC,iBAAiB;AAAA,+BACX;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA;AAAA,gCAEkBA,IAAE,CAAC,IAAEA,IAAE,CAAC,MAAMA,IAAE,CAAC;AAAA;AAAA;AAAA,yBAGxB,QAAQ;AAAA,+BACF;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAE;AAAA,YACf;AAAA;AAAA,QAEJ;AAAA,QACA;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB,iBAAiB,yBAAyB;AAAA,6BAC1C;AAAA;AAAA,MAEzB;AAAA,YACQ;AAAA;AAAA,0BAEc,aAAa;AAAA,oBACnB;AAAA,6BACS,MAAM,cAAc;AAAA,6BACpB;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,UAAU,cAAaA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,UAAS,QAAQ;AAAE,WAAM;AAAA,QAChQ,GAAG,CAAC;AAAA,cACE;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA;AAAA;AAAA,iBAGG,MAAM,MAAM,MAAM;AAAA;AAAA,UAEzB,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAClF;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAM;AAAA;AAAA,0BAElB,QAAQ;AAAA,+BACHA;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAChB;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,IAAE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGT,QAAQ;AAAA,+BACFA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAM;AAAA,YACZ;AAAA;AAAA,0BAEc,aAAa,eAAe;AAAA,qBACjC,gBAAgB;AAAA,6BACR,MAAM;AAAA,6BACNA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,UAAU,cAAaA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,UAAS,UAAS,QAAQ;AAAE,WAAM;AAAA,QACvO,GAAG,CAAC;AAAA,cACE;AAAA;AAAA,iBAEG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACtE;AAAA;AAAA;AAAA;AAAA,iBAIG,MAAM,MAAM,MAAM;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACT,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAClF;AAAA;AAAA;AAAA;AAAA,iBAIG,MAAM,MAAM,MAAM;AAAA;AAAA;AAAA,0BAGT,QAAQ;AAAA,+BACHA;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAChB;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBAClB,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACR,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGK,QAAQ;AAAA,+BACFA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAM;AAAA,YACZ;AAAA;AAAA;AAAA,0BAGc,aAAa,eAAe;AAAA,qBACjC,gBAAgB,gBAAgB;AAAA,6BACxB,MAAM;AAAA,6BACNA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAKA,MAAE,EAAE,cAAc,EAAE,UAAU,YAAY;AAAE,SAAOA,MAAE,IAAE,UAAU,OAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA;AAGd;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAEA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,eAAc,IAAE,EAAE,UAAU,aAAa,QAAO,IAAE,EAAE,aAAa,QAAO,IAAE,GAAG,EAAE,UAAU,cAAa,EAAE,YAAY,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,QAAI,IAAE,IAAE,KAAG,IAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,EAAE,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CACzU;AAAE,MAAI,IAAE;AAAG,MAAE,KAAG,IAAE,IAAE,IAAE,WAAS,IAAE,EAAE,UAAU,aAAa,IAAI,CAAC,GAAE,MAAI,UAAU,EAAE,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI;AAAE,MAAI,IAAE,uBAAsB,IAAE,EAAE,cAAc,EAAE,UAAU,YAAY,MAAI,GAAE,IAAE,EAAE,cAAc,EAAE,YAAY,MAAI;AAAE,MAAG,MAAI,KAAG,CAAC,KAAG,CAAC;AAAE,QAAE;AAAA;AAAA;AAAA,WAE5N,KAAG,CAAC;AAAE,UAAI,IAAE,IAAE;AAAA;AAAA,UAEpB,IAAE;AAAA;AAAA;AAAA,WAEM,EAAE,QAAO;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,MAAE,QAAQ,CAAC,IAAE,MAAI,EAAE,QAAQ,CAAC,IAAE,KAAG,IAAE,gCAA8B,EAAE,QAAQ,CAAC,IAAE,KAAG,IAAE,6EAA2E,EAAE,QAAQ,CAAC,IAAE,OAAK,IAAE;AAAA,EAA+C;AAAC,SAAM;AAAA,WACvQ;AAAA,QACH;AAAA,QACA;AAAA,8BACsB,KAAK;AAAA,QAC3B;AAAA;AAAA;AAEL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAEA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,eAAc,IAAE,EAAE,UAAS,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,UAAU,aAAa,QAAO,IAAE,EAAE,aAAa;AAAO,MAAG,CAAC,EAAE,UAAU,aAAW,MAAI,KAAG,EAAE,UAAU,cAAY,QAAM,EAAE,YAAY,GAAE,CAAC;AAAE,WAAM;AAAA,cAC1Q;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,UAAU,cAAa,EAAE,YAAY,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,QAAI,IAAE,IAAE,KAAG,IAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,EAAE,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CACxL;AAAE,MAAI,IAAE;AAAG,SAAO,IAAE,KAAG,IAAE,IAAE,IAAE,WAAS,IAAE,EAAE,UAAU,aAAa,IAAI,CAAC,GAAE,MAAI,UAAU,EAAE,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI,GAAE;AAAA,YAChG;AAAA,QACJ;AAAA,QACA;AAAA,kBACU,KAAK;AAAA;AAAA;AAEpB;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAE,WAAM;AAAM,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,QAAM,MAAM,gBAAgB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,KAAG,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,KAAG,CAAC,EAAE,YAAY,GAAEA,GAAC,KAAG,EAAE,SAAO,KAAG;AAAE,SAAM,EAAC,iBAAgB,GAAE,cAAa,IAAE,IAAE,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC;AAAE,SAAOA,IAAE,UAAU,eAAa,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,IAAI,CAAAA,QAAG,EAAEA,GAAC,CAAC,EAAE,KAAK,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,EAAC,cAAa,EAAE,OAAM,UAAS,EAAE,YAAU,OAAK,EAAE,QAAQ,UAAS,WAAU,EAAE,WAAU,UAAS,EAAE,YAAU,QAAG,EAAE,QAAQ,UAAS,YAAW,KAAI;AAAE,WAAO,EAAE,WAAS,QAAM,EAAE,QAAQ,SAAO,QAAM,EAAE,QAAQ,MAAM,aAAW,MAAI,EAAE,aAAW,EAAE,QAAQ,MAAM,aAAY,EAAC,MAAK,EAAE,cAAc,CAAC,GAAE,WAAU,EAAC;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,SAAS,GAAE,IAAE,EAAC,cAAa,EAAE,OAAM,UAAS,EAAE,QAAQ,UAAS,WAAU,OAAG,UAAS,EAAE,QAAQ,UAAS,YAAW,KAAI,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,IAAG,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,SAAO,EAAE,EAAE,IAAI,qBAAqB,IAAE,EAAC,SAAQ,GAAE,gBAAe,GAAE,QAAO,GAAE,cAAa,GAAE,cAAa,GAAE,cAAa,GAAE,kBAAiB,MAAK,wBAAuB,MAAK,QAAO,MAAK,QAAO,MAAK,mBAAkB,MAAK,sBAAqB,MAAK,kBAAiB,MAAK,yBAAwB,MAAK,qBAAoB,KAAI,IAAE,OAAO,OAAO,EAAC,SAAQ,GAAE,gBAAe,GAAE,QAAO,GAAE,cAAa,GAAE,cAAa,GAAE,cAAa,EAAC,GAAE,GAAG,GAAE,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,IAAE,MAAK,IAAE;AAAK,MAAE,EAAE,mBAAmBA,KAAE,OAAM,KAAE,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,MAAI,IAAE,EAAE,mBAAmBA,KAAE,YAAW,KAAE;AAAG,MAAI,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,cAAc,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,mBAAmBA,KAAE,GAAE,CAAC,GAAE,EAAE,SAAS,GAAG,IAAE,EAAE,mBAAmBA,KAAE,SAAS,KAAI,CAAC,GAAE,EAAE,wBAAsB,EAAE,GAAG,QAAQ,IAAE,EAAE,mBAAmBA,KAAE,GAAG,UAAS,CAAC,GAAE,EAAE,GAAG,WAAW,IAAE,EAAE,mBAAmBA,KAAE,GAAG,aAAY,CAAC;AAAA,EAAE;AAAC,SAAO,EAAE,wBAAsB,IAAE,EAAE,mBAAmBA,KAAE,YAAW,CAAC,GAAE,IAAE,EAAE,mBAAmBA,KAAE,mBAAkB,CAAC,GAAE,IAAE,EAAE,mBAAmBA,KAAE,eAAc,CAAC,IAAG,EAAE,kBAAgB,EAAE,eAAe,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,CAAC,IAAE,EAAE,mBAAmBA,KAAE,EAAE,MAAK,CAAC;AAAA,EAAC,CAAC,GAAE,EAAC,kBAAiB,GAAE,wBAAuB,GAAE,QAAO,GAAE,QAAO,GAAE,mBAAkB,GAAE,sBAAqB,GAAE,kBAAiB,GAAE,yBAAwB,GAAE,qBAAoB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,MAAM,4BAA4B,EAAE,wCAAwC,EAAE,eAAe;AAAE,IAAE,QAAQ,CAACA,KAAE,MAAI;AAAC,QAAI,IAAEA,IAAE,cAAa,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAM,QAAG,CAAC,EAAE,YAAY,GAAE,CAAC;AAAE,YAAM,MAAM,2EAA2E,SAAS,cAAc;AAAE,QAAGA,IAAE,aAAW,EAAE;AAAU;AAAO,QAAI,IAAEA,IAAE,UAAS,IAAE,EAAE,YAAU,OAAK,EAAE,QAAQ;AAAS,QAAG,CAAC,EAAE,YAAY,GAAE,CAAC;AAAE,YAAM,MAAM,kFAAkF,SAAS,cAAc;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,IAAE,QAAQ,wBAAsB,GAAG,EAAE,cAAaA,GAAC,GAAE,GAAG,CAAC,EAAE,YAAY,GAAE,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAE,QAAQ,SAAQ,IAAE,EAAE,QAAQ;AAAS,IAAE,QAAQ,WAAS,EAAE,6BAA6B,EAAE,SAAQ,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,uBAAuB,EAAE,SAAQ,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,EAAE,WAAW,EAAE,YAAY,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,EAAE,WAAS,QAAM,EAAE,GAAG,UAAU,EAAE,QAAO,IAAE,CAAC,GAAE,EAAE,WAAS,QAAM,EAAE,GAAG,UAAU,EAAE,QAAO,GAAG,GAAEA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,QAAQ,cAAc,CAAC,GAAE,IAAE,EAAE,iBAAiB,CAAC,GAAE,IAAE,EAAE,iBAAiB,SAAS,GAAG,GAAE,IAAE,EAAE,kBAAkB,GAAG,QAAQ,GAAE,IAAE,EAAE,qBAAqB,GAAG,WAAW;AAAE,QAAG,GAAE;AAAC,UAAG,EAAC,cAAa,EAAC,IAAE,GAAG,EAAE,QAAQ,cAAa,EAAE,OAAM,EAAE,QAAQ,QAAQ;AAAE,cAAO,EAAE,QAAO;AAAA,QAAC,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM;AAAQ;AAAA,MAAK;AAAA,IAAC;AAAC,QAAG,KAAG,EAAE,GAAG,UAAU,GAAE,EAAE,QAAQ,SAAS,CAAC,GAAE,EAAE,QAAQ,SAAS,CAAC,CAAC,GAAE,KAAG,MAAK;AAAC,UAAG,EAAE,WAAU;AAAC,YAAG,EAAE,cAAc,EAAE,KAAK,IAAE;AAAE,YAAE,GAAG,UAAU,GAAE,EAAE,cAAc,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,EAAE;AAAc,uBAAa,iBAAe,IAAE,IAAI,aAAa,CAAC,IAAG,EAAE,GAAG,WAAW,GAAE,CAAC;AAAA,QAAC;AAAC;AAAA,MAAM;AAAC,QAAE,QAAQ,SAAO,QAAM,KAAG,QAAM,EAAE,GAAG,UAAU,GAAE,EAAE,QAAQ,MAAM,UAAU,GAAE,EAAE,sBAAsB,EAAE,QAAQ,QAAQ,SAAQ,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE;AAAiB,MAAG;AAAE,YAAO,EAAE,MAAM,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAC,MAAG,EAAE,yBAAwB;AAAC,QAAI,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,YAAO,EAAE,MAAM,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAA,EAAC;AAAC,IAAE,uBAAqB,EAAE,GAAG,UAAU,EAAE,qBAAoB,EAAE,QAAQ,SAAS,CAAC,GAAE,EAAE,QAAQ,SAAS,CAAC,CAAC,GAAE,EAAE,QAAQ,kBAAgB,KAAG,EAAE,QAAQ,eAAe,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,EAAE,SAAO;AAAQ,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAO,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAO,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAO,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAM,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAQ,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAQ,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA,aAAU,EAAE,SAAO;AAAQ,QAAE,GAAG,WAAW,GAAE,CAAC;AAAA;AAAO,YAAM,MAAM,gBAAgB,EAAE,4BAA4B;AAAA,EAAC,CAAC,GAAE,EAAE,eAAe;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE;AAAG,IAAE,OAAOA,GAAC,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,EAAE,WAAS,QAAM,EAAE,QAAQ,SAAO,QAAM,EAAE,QAAQ,MAAM,aAAW;AAAE,QAAG,EAAE,uBAAqB,CAAC,EAAE,WAAU;AAAC,UAAI,IAAE,EAAE,QAAQ,UAAS,EAAC,iBAAgB,GAAE,cAAa,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,cAAa,EAAE,OAAM,CAAC,GAAE,IAAE,IAAG,IAAE,IAAG,IAAE;AAAG,UAAG,EAAE,WAAS,KAAG,EAAE,cAAa;AAAC,YAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,YAAE,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAA,MAAG,WAAS,EAAE,WAAS,KAAG,CAAC,EAAE;AAAa,YAAE,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAA,eAAY,EAAE,SAAO,KAAG,CAAC,EAAE,cAAa;AAAC,YAAI,IAAE,EAAE,eAAe,CAAC;AAAE,YAAE,GAAG,EAAE,CAAC,MAAI,EAAE,CAAC,KAAK,EAAE,EAAE,SAAO,CAAC,MAAI,EAAE,CAAC;AAAA,MAAG;AAAC,UAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,WAAS,KAAG,EAAE,YAAY,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE,IAAE,EAAE,iBAAiB,EAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,CAAC,EAAE,gBAAc,MAAIA,IAAE,MAAM,UAAQ,EAAE,YAAY,GAAEA,IAAE,QAAQ,QAAQ,GAAE,IAAE,EAAE,gBAAc,EAAE,SAAO,IAAE,KAAG,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAI,WAAG,GAAG,KAAK,KAAK,IAAE,IAAE,MAAM,EAAE,UAAU,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,IAAG,OAAK;AAAC,UAAI,IAAE,EAAE,YAAU,YAAU,EAAE,QAAQ;AAAS,WAAG,GAAG,EAAE,SAAS,KAAK;AAAA,IAAG;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,UAAS,IAAE,EAAE,YAAY;AAAK,SAAO,KAAG,MAAI,IAAE,MAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,KAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,QAAQ,2BAA2B,KAAG,KAAG;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,mBAAiB,GAAG,OAAM,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAE30N,KAAK,sBAAoB,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,mBAAiB,GAAG,OAAM,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAElR,KAAK,sBAAoB,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAG;AAAS,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA,QAC9H;AAAA;AAAA;AAAA;AAAA,UAIEA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAG;AAAS,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA,QACxK;AAAA;AAAA;AAAA;AAAA;AAAA,UAKEA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAC;AAAvB,IAAyB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,QAAO;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE;AAAS,IAAAA,QAAI,IAAE;AAA8B,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,WAAG;AAAA,yBACrT;AAAA,8BACK,GAAG,CAAC;AAAA;AAAA,IACtB;AAAC,SAAK,WAAS;AAAA,QACnB,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uCAMH,EAAE;AAAA;AAAA,sCAEH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMd,EAAE;AAAA,YAChB;AAAA;AAAA,UAEF,EAAE,iBAAiB;AAAA;AAAA;AAAA,EAExB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,IAAG,IAAE;AAAS,IAAAA,QAAI,IAAE;AAA8B,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,aAAG;AAAA;AAAA,gCAEtU,OAAO,KAAK,sBAAoB,gBAAc,GAAG,EAAE,CAAC;AAAA,8BACtD;AAAA,iCACG,OAAO,KAAK,sBAAoB,gBAAc,GAAG,EAAE,CAAC;AAAA,gCACrD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGF;AAAA;AAAA,uBAEA;AAAA;AAAA,uBAEA;AAAA;AAAA,uBAEA;AAAA;AAAA;AAAA;AAAA;AAAA,MAId;AAAC,SAAK,WAAS;AAAA,UACd,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhC;AAAA;AAAA,YAEA,EAAE,YAAY;AAAA;AAAA;AAAA,EAErB;AAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,mCAAkC,MAAI,IAAG,+BAA8B,MAAI,IAAG,4BAA2B,MAAI,IAAG,kCAAiC,MAAI,IAAG,4BAA2B,MAAI,IAAG,mBAAkB,MAAI,IAAG,2BAA0B,MAAI,IAAG,kCAAiC,MAAI,IAAG,oBAAmB,MAAI,IAAG,oBAAmB,MAAI,IAAG,iDAAgD,MAAI,IAAG,iCAAgC,MAAI,IAAG,uCAAsC,MAAI,IAAG,gCAA+B,MAAI,IAAG,0CAAyC,MAAI,IAAG,gDAA+C,MAAI,IAAG,0CAAyC,MAAI,IAAG,yCAAwC,MAAI,IAAG,gDAA+C,MAAI,IAAG,4BAA2B,MAAI,IAAG,0BAAyB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,MAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAKD,SAAO,GAAG,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,CAAC,IAAG,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,YAAY,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,KAAG,GAAEA,GAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE;AAAW,SAAO,GAAG,GAAE,MAAI,EAAE,YAAY,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,gBAAe,EAAE,aAAa,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,gBAAe,EAAE,aAAa,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,oBAAmB,EAAE,OAAO,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,oBAAmB,EAAE,OAAO,CAAC,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAE,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAI,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,GAAE,GAAE,GAAEA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC,GAAE,EAAC,SAAQ,GAAE,UAAS,CAACA,KAAE,CAAC,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAmB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,oBAAmB,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAuB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,oBAAmB,EAAE,oBAAoB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAqB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,aAAa;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAyB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAA6B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,oBAAoB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAaA,GAAC,CAAC,GAAE,GAAG,GAAE,GAAE,gBAAeA,KAAE,GAAE,IAAG,CAAC,KAAG,GAAG,GAAE,GAAE,MAAKA,KAAE,GAAE,IAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC;AAAE,MAAI,GAAE,GAAE;AAAE,eAAa,cAAY,IAAE,IAAI,WAAWA,MAAE,IAAE,CAAC,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,SAAO,IAAE,IAAI,aAAaA,MAAE,IAAE,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,4BAA2B,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,GAAEA,KAAE,GAAE,GAAE,EAAE,MAAK,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC,GAAEA,IAAE,gBAAgB,aAAW,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAEA,IAAE,OAAMA,IAAE,QAAO,EAAE,MAAK,EAAE,eAAcA,IAAE,IAAI,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,EAAE,MAAKA,IAAE,OAAMA,IAAE,QAAO,GAAE,EAAE,MAAK,EAAE,eAAcA,IAAE,IAAI,CAAC,IAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAE,EAAE,MAAK,EAAE,eAAcA,GAAC,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,EAAE,MAAK,EAAE,MAAK,EAAE,eAAcA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,aAAa;AAAE,KAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,CAAC,CAAC;AAAE,MAAI,IAAE,IAAE,IAAE,IAAEA;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,GAAE,EAAE,WAAW,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,EAAE,OAAM,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,IAAI,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,IAAI,aAAaA,GAAC;AAAE,SAAO,EAAE,WAAW,EAAE,mBAAkB,CAAC,GAAE,EAAE,iBAAiB,EAAE,mBAAkB,GAAE,CAAC,GAAE,EAAE,WAAW,EAAE,mBAAkB,IAAI,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,GAAE,IAAE,IAAI,WAAW,GAAG,IAAEA,KAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAE,GAAE,GAAE,EAAE,uBAAsB,EAAE,eAAc,CAAC,CAAC,GAAE,IAAI,aAAa,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,IAAI,aAAa,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,EAAE,WAAW,EAAE,mBAAkB,CAAC,GAAE,EAAE,iBAAiB,EAAE,mBAAkB,GAAE,CAAC,GAAE,EAAE,WAAW,EAAE,mBAAkB,IAAI,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,aAAa,IAAEA,MAAE,CAAC;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,EAAE,OAAM,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,MAAK,KAAK,UAAQ,MAAK,KAAK,WAAS,OAAG,KAAK,cAAY,CAAC;AAAE,QAAIA,MAAE,EAAE,EAAE,UAAU,eAAe;AAAE,QAAG,KAAG,QAAM,KAAK,KAAG,GAAE,GAAGA,KAAE,CAAC,KAAG,KAAK,KAAG,GAAGA,GAAC,GAAE,IAAE,KAAK,IAAG,EAAE,EAAE,UAAU,eAAe,MAAI,GAAE;AAAC,UAAI,IAAE;AAAE,WAAK,oBAAkB,MAAI,GAAG,GAAE,MAAI,EAAE,kBAAkB,CAAC,GAAE,KAAK,kBAAgB,OAAG,GAAG,GAAE,MAAI,EAAE,gBAAgB,CAAC,CAAC,GAAE,KAAK,oBAAkB,OAAG,GAAG,GAAE,MAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,oBAAoB,CAAC;AAAA,IAAC,WAAS,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,aAAa,yBAAyB;AAAE,UAAG,KAAG;AAAK,cAAM,IAAI,MAAM,2EAA2E;AAAE,WAAK,oBAAkB,MAAI,GAAG,GAAE,MAAI,EAAE,qBAAqB,CAAC,GAAE,KAAK,kBAAgB,OAAG,GAAG,GAAE,MAAI,EAAE,mBAAmB,CAAC,CAAC,GAAE,KAAK,oBAAkB,OAAG,GAAG,GAAE,MAAI,EAAE,qBAAqB,CAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,wBAAwB,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,4BAA2B,IAAE;AAA8B,QAAG,KAAK,+BAA6B,KAAK,GAAG,aAAa,6BAA6B,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,GAAE;AAAC,UAAI,IAAE,qBAAoB,IAAE;AAAyB,UAAG,KAAK,wBAAsB,GAAG,KAAK,IAAG,CAAC,GAAE,GAAG,KAAK,IAAG,CAAC;AAAE,aAAK,4BAA0B,GAAG,KAAK,IAAG,CAAC;AAAA,eAAU,EAAE,EAAE,IAAI,0BAA0B;AAAE,cAAM,IAAI,MAAM,oHAAoH;AAAE,UAAG,KAAK,4BAA0B,KAAK,GAAG,aAAa,CAAC,GAAE,GAAG,KAAK,IAAG,CAAC;AAAE,aAAK,gCAA8B,GAAG,KAAK,IAAG,CAAC;AAAA,eAAU,EAAE,EAAE,IAAI,0BAA0B;AAAE,cAAM,IAAI,MAAM,6HAA6H;AAAA,IAAC,WAAS,IAAE,0BAAyB,GAAG,KAAK,IAAG,CAAC;AAAE,WAAK,4BAA0B,KAAK,GAAG,aAAa,CAAC;AAAA,aAAU,GAAG,KAAK,IAAG,CAAC;AAAE,WAAK,gCAA8B,KAAK,GAAG,aAAa,CAAC;AAAA;AAAO,YAAM,IAAI,MAAM,qDAAqD;AAAE,SAAK,eAAa,GAAG,KAAK,EAAE,GAAE,KAAK,cAAY,GAAG,KAAK,EAAE,GAAE,KAAK,cAAY,GAAG,KAAK,EAAE,GAAE,KAAK,gBAAc,GAAG,KAAK,IAAG,KAAK,yBAAyB;AAAA,EAAC;AAAA,EAAC,IAAI,QAAO;AAAC,WAAO,EAAE,EAAE,QAAQ,OAAO;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK;AAAS;AAAO,SAAK,WAAS,QAAM,QAAQ,KAAK,sKAAsK,GAAE,KAAK,iBAAe,QAAM,QAAQ,KAAK,oMAAoM;AAAE,QAAI,IAAE,KAAK;AAAG,OAAG,GAAE,MAAI,EAAE,OAAO,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,kBAAkB,KAAK,WAAW,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqB,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,aAAa,KAAK,WAAW,CAAC,GAAE,KAAK,WAAS;AAAA,EAAE;AAAA,EAAC,2BAA2B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAEA,KAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,GAAE,GAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,0BAA0B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,kBAAgB,MAAI,GAAG,KAAK,IAAG,KAAK,WAAW,GAAE,KAAK,gBAAc,OAAM,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,cAAc,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gDAAgD,GAAEA,KAAE,GAAE;AAAC,WAAO,KAAK,qBAAqB,GAAE,MAAI,GAAG,KAAK,IAAGA,KAAE,GAAE,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,WAAO,GAAG,KAAK,IAAG,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE;AAAC,WAAO,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,SAAK,yBAAyB,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,IAAGA,KAAE,GAAE,KAAK,aAAa;AAAE,WAAO,KAAK,2BAA2B,GAAE;AAAA,EAAC;AAAA,EAAC,wBAAuB;AAAC,QAAI,IAAE,KAAK,YAAY,KAAK,EAAE;AAAE,WAAO,KAAK,UAAU,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,KAAE;AAAE,QAAG,EAAE,EAAE,QAAQ,yBAAyB,GAAE;AAAC,UAAI,IAAE,GAAE,IAAE,EAAE,UAAU,EAAE,4BAA2B,CAAC;AAAE,QAAE,MAAM,GAAE,IAAE,MAAI;AAAC,YAAI,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAE,eAAO,MAAI,EAAE,oBAAkB,MAAI,EAAE;AAAA,MAAmB,GAAEA,MAAE;AAAA,IAAC;AAAM,QAAE,EAAE,UAAU,8CAA8C,IAAE,KAAGA,MAAE,KAAK,WAAW,GAAE,KAAK,SAAS,GAAE,IAAE,MAAI,KAAK,iBAAiBA,KAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC,KAAG,IAAE,MAAI;AAAG,WAAM,EAAC,OAAMA,KAAE,eAAc,EAAC;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE,GAAE;AAAC,WAAO,KAAK,qBAAqB,GAAE,MAAI,GAAG,KAAK,IAAGA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAIA,MAAE,KAAK;AAAG,SAAK,gBAAc,SAAO,KAAK,eAAa,GAAGA,GAAC;AAAG,QAAI,IAAE,GAAGA,GAAC;AAAE,OAAGA,KAAE,MAAIA,IAAE,aAAa,GAAE,KAAK,YAAY,CAAC,GAAE,GAAGA,KAAE,MAAIA,IAAE,aAAa,GAAE,CAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI;AAAE,WAAO,IAAE,OAAO,OAAO,GAAE,EAAC,KAAI,KAAK,kBAAkB,EAAC,CAAC,GAAE,KAAK,gBAAgB,EAAE,GAAG,GAAE,GAAGA,KAAE,MAAIA,IAAE,WAAWA,IAAE,sBAAqB,KAAK,WAAW,CAAC,GAAE,QAAQ,OAAO,GAAGA,KAAE,GAAE,KAAK,YAAY,GAAE,oEAAoE,GAAE,KAAK,SAAO,GAAGA,KAAE,CAAC,GAAE,KAAK,WAAW,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,gBAAgB,GAAE,MAAI,KAAK,YAAU,KAAK,UAAQ,OAAM,KAAG,SAAO,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,cAAc,CAAC,CAAC,GAAE,KAAK,kBAAkB,EAAE,GAAG;AAAA,EAAE;AAAA,EAAC,WAAW,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,UAAQ,GAAE,KAAK,WAAS,SAAO,KAAK,gBAAgB,KAAK,QAAQ,GAAG,GAAE,KAAK,SAAO,GAAG,KAAK,IAAG,KAAK,OAAO,IAAG,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,WAAW,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,KAAE,IAAE,MAAG;AAAC,WAAO,KAAK,gBAAgB,GAAE,IAAE,GAAG,KAAK,IAAG,GAAEA,GAAC,IAAE,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,kBAAkB,GAAEA,GAAC,CAAC;AAAA,EAAC;AAAA,EAAC,0BAA0B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,KAAK,GAAG,mBAAmB,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,iBAAiB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE,GAAE;AAAC,SAAK,6BAA6B,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAG,CAAC,GAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,SAAK,6BAA6B,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,iCAAiC,GAAE,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE,GAAE,GAAE;AAAC,UAAM,IAAI,MAAM,mDAAmD;AAAA,EAAC;AAAA,EAAC,gBAAe;AAAC,SAAK,WAAS,QAAM,GAAG,KAAK,IAAG,KAAK,OAAO,GAAE,GAAG,KAAK,EAAE;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,SAAK,gBAAgB,GAAE,KAAK,iBAAiB;AAAE,QAAI,IAAE,KAAK;AAAG,QAAG,KAAK,OAAM;AAAC,UAAIA,MAAE,KAAK,eAAe;AAAE,cAAQ,OAAOA,QAAI,KAAK,QAAQ,KAAI,oDAAoD,GAAE,KAAK,cAAc;AAAA,IAAC;AAAC,OAAG,GAAE,MAAI,EAAE,aAAa,EAAE,WAAU,GAAE,EAAE,gBAAe,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iCAAgC;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,+BAA6B,SAAO,KAAK,8BAA4B,GAAG,KAAK,IAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,IAAE,oCAAkC,0BAA0B,IAAG,KAAK;AAAA,EAA2B;AAAA,EAAC,+BAA8B;AAAC,WAAO,KAAK,uBAAuB;AAAA,EAAC;AAAA,EAAC,+BAA8B;AAAC,WAAO,KAAK,uBAAuB;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,QAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,GAAE;AAAC,UAAI,IAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,YAAY;AAAE,aAAO,EAAE,WAAW,EAAE,kBAAiB,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,6BAA6B,GAAEA,MAAE,EAAE,eAAe;AAAE,WAAO,EAAE,cAAc,EAAE,kBAAiBA,GAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,QAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,GAAE;AAAC,UAAIA,MAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B;AAAE,MAAAA,IAAE,SAAS,EAAE,gBAAgB;AAAE;AAAA,IAAM;AAAC,QAAI,IAAE,KAAK,6BAA6B;AAAE,MAAE,YAAY,EAAE,gBAAgB;AAAA,EAAC;AAAA,EAAC,MAAM,uBAAuB,GAAE;AAAC,WAAO,MAAM,EAAE,YAAY,MAAI,KAAK,YAAU,KAAK,iBAAiB,GAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,GAAE,KAAK,aAAa,GAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,QAAGA,QAAI;AAAE,aAAO;AAAK,QAAGA,QAAI,GAAE;AAAC,UAAI,IAAE,KAAK;AAAG,aAAO,EAAE,kBAAkB,GAAE,EAAE,YAAY,IAAE;AAAA,IAAG,OAAK;AAAC,UAAI,IAAE,KAAK,6BAA6B;AAAE,aAAO,EAAE,kBAAkB,GAAE,EAAE,gBAAgB,IAAE;AAAA,IAAG;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,QAAGA,QAAI;AAAE,aAAM;AAAG,QAAGA,QAAI,GAAE;AAAC,UAAI,IAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,sBAAsB;AAAE,aAAO,KAAK,YAAU,SAAO,KAAK,WAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,IAAG,KAAG,CAAC,KAAK;AAAA,IAAQ,OAAK;AAAC,UAAI,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,0BAA0B;AAAE,aAAO,KAAK,YAAU,SAAO,KAAK,WAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,IAAG,KAAG,CAAC,KAAK;AAAA,IAAQ;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,IAAI,QAAQ,CAAAA,QAAG;AAAC,WAAK,cAAc,MAAI,EAAE,cAAc,GAAE,MAAIA,IAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAI,IAAE,GAAG,KAAK,YAAY,IAAI,CAAAA,QAAGA,IAAE,QAAQ,CAAC;AAAE,aAAQA,MAAE,GAAEA,OAAG,GAAE,EAAEA,KAAE;AAAC,UAAG,EAAC,WAAU,EAAC,IAAE,KAAK,YAAYA,GAAC;AAAE,QAAE;AAAA,IAAC;AAAC,SAAK,cAAY,KAAK,YAAY,MAAM,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE;AAAC,QAAG,KAAK,YAAY,KAAK,EAAC,UAAS,GAAE,WAAUA,IAAC,CAAC,GAAE,KAAK,YAAY,SAAO;AAAE;AAAO,QAAI;AAAE,0BAAqB,EAAE,EAAE,aAAW,IAAE,EAAE,EAAE,SAAS,iBAAiB,KAAK,EAAE,EAAE,QAAQ,IAAG,EAAE,YAAY,OAAK,KAAK,UAAU,GAAE,KAAK,YAAY,WAAS,IAAG,MAAI,GAAE,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAE,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,KAAK,EAAE;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,iBAAe,QAAM,GAAG,KAAK,IAAG,KAAK,eAAc,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,KAAK,EAAE,KAAG,GAAG,KAAK,IAAG,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,SAAK,yBAAyB,CAAC;AAAE,QAAI,IAAEA,IAAE;AAAE,WAAO,KAAK,2BAA2B,GAAE;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,KAAK;AAAG,OAAG,GAAE,GAAE,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,CAAC,GAAE,KAAK,gBAAc,GAAE,GAAG,GAAE,MAAI,EAAE,SAAS,GAAE,GAAEA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,QAAQ,GAAE,GAAEA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,QAAQ,GAAEA,KAAE,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAiB;AAAC,QAAG,KAAK;AAAS,YAAM,IAAI,MAAM,yCAAyC;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,QAAG,KAAK,WAAS;AAAK,YAAM,IAAI,MAAM,kCAAkC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE,EAAE,UAAQ,EAAE,CAAC,EAAE,GAAE,EAAE;AAAE;AAAC,SAAO,IAAE;AAAC;AAAC,IAAG,EAAC,SAAQ,IAAG,cAAa,IAAG,oBAAmB,IAAG,UAAS,IAAG,UAAS,IAAG,YAAW,IAAG,WAAU,IAAG,SAAQ,IAAG,WAAU,IAAG,WAAU,IAAG,cAAa,IAAG,cAAa,IAAG,aAAY,IAAG,kBAAiB,IAAG,UAAS,IAAG,eAAc,IAAG,cAAa,IAAG,SAAQ,IAAG,SAAQ,IAAG,aAAY,IAAG,aAAY,IAAG,cAAa,IAAG,SAAQ,IAAG,cAAa,IAAG,UAAS,IAAG,kBAAiB,IAAG,iBAAgB,IAAG,0BAAyB,IAAG,WAAU,IAAG,WAAU,IAAG,aAAY,IAAG,aAAY,IAAG,eAAc,IAAG,WAAU,IAAG,yBAAwB,IAAG,mBAAkB,IAAG,4BAA2B,IAAG,UAAS,IAAG,kBAAiB,IAAG,kBAAiB,IAAG,iBAAgB,IAAG,4BAA2B,IAAG,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,eAAc,IAAG,YAAW,GAAE,IAAE;AAAG,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC,EAAE,IAAI,CAAAA,QAAG,GAAG,KAAKA,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,IAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAK,MAAIA,MAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,OAAG,EAAE,CAAC,GAAE,IAAE,IAAE,MAAIA,OAAG;AAAK,SAAOA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,SAAO;AAAE,WAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,SAIvid;AAAC,UAAIA,MAAE,GAAG,MAAK,KAAK,IAAI,GAAE,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,KAAK,wBAAwBA,GAAC,GAAE,IAAE,KAAK,SAASA,GAAC,GAAE,IAAE,KAAK,UAAUA,GAAC;AAAE,WAAK,WAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEG;AAAA;AAAA;AAAA,cAGD;AAAA;AAAA,6BAEe;AAAA;AAAA;AAAA;AAAA,IAGtB;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE,KAAI;AAAC,YAAI,IAAE,GAAG,MAAI,IAAE,MAAI,UAAU,MAAI,IAAE,MAAI;AAAQ,iBAAQ,IAAE,GAAE,IAAE,KAAK,MAAK;AAAI,cAAE,GAAG,EAAE,EAAE,SAAO,IAAE,CAAC,OAAK;AAAE,QAAAA,IAAE,KAAK,CAAC;AAAA,MAAC;AAAC,WAAOA;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM,QAAQ,KAAK,sBAAoB,aAAW,KAAK,YAAY,CAAC;AAAI,QAAIA,MAAE;AAAG,aAAQ,IAAE,KAAK,OAAK,GAAE,IAAE,KAAK,MAAK;AAAI,MAAAA,OAAG,GAAG,EAAE,CAAC,QAAQ,KAAK,sBAAoB,YAAY,OAAK,KAAK,YAAY,CAAC,KAAI,IAAE,KAAK,OAAK,MAAIA,OAAG;AAAM,WAAOA;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM;AAAG,QAAIA,MAAE,EAAE,MAAM,EAAE,GAAE,IAAE,KAAK,sBAAoB,YAAY,KAAK,cAAY,KAAK,YAAY,KAAK,OAAK,CAAC,GAAE,IAAE,KAAK,sBAAoB,YAAY,KAAK,cAAY,KAAK,YAAY,KAAK,OAAK,CAAC;AAAE,WAAM;AAAA,gBAC3rBA,IAAE,CAAC;AAAA,gBACHA,IAAE,CAAC;AAAA;AAAA;AAAA;AAAA,4BAIS;AAAA,4BACA;AAAA;AAAA,EACvB;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,MAAE,KAAK,mBAAmB,CAAC;AAAE,WAAO,KAAK,SAAO,IAAE,wBAAwB,KAAK,sBAAoB,aAAW,KAAK,YAAY,CAAC,iCAA+B,QAAQA,IAAE,CAAC;AAAA,gCACjKA,IAAE,CAAC;AAAA,gCACHA,IAAE,CAAC;AAAA,yCACMA,IAAE,CAAC;AAAA,EAAI;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,cAAa,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE;AAAe,UAAE,MAAI,MAAI,KAAG,mBAAkB,IAAE,MAAI,KAAG,mBAAkB,KAAG;AAAA,UACzX;AAAA,UACA,IAAE,IAAE,4CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrC;AAAA;AAAA,UAET,IAAE,IAAE,MAAI;AAAA;AAAA,IACX;AAAC,SAAK,WAAS;AAAA,QACd,GAAGA,KAAE,KAAK,mBAAmB;AAAA,QAC7B,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,sBAAoB,gBAAc,EAAE,CAAC;AAAA,qBAC1C,KAAK,sBAAoB,gBAAc,EAAE,CAAC;AAAA;AAAA,UAErD;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM;AAAA;AAAA,QAEvB,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,YAAY,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGxD;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,GAAE,KAAK,gBAAc,GAAE,KAAK,eAAa,CAAC,GAAE,KAAK,aAAW,OAAG,KAAK,eAAa,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC,IAAG,KAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC;AAAG,QAAI,IAAE,GAAG,GAAE,GAAE,KAAK,MAAM,IAAG,KAAK,MAAM,eAAc,CAAC;AAAE,QAAG,KAAK,aAAa,CAAC,EAAE,SAAO,GAAE;AAAC,WAAK,mBAAkB,KAAK,mBAAkB,KAAK,iBAAe,GAAE,KAAK,IAAI;AAAE,UAAI,IAAE,KAAK,aAAa,CAAC,EAAE,MAAM;AAAE,aAAO,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI;AAAE,WAAO,MAAI,GAAG,qBAAmB,IAAE,KAAK,MAAM,0BAA0B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,qBAAmB,IAAE,KAAK,MAAM,iCAAiC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,mBAAiB,IAAE,KAAK,MAAM,2BAA2B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,mBAAiB,IAAE,KAAK,MAAM,2BAA2B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,6BAA2B,IAAE,KAAK,MAAM,iCAAiC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK,sBAAoB,GAAE,KAAK,IAAI,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAK,gBAAc;AAAK;AAAO,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAGA,KAAE,GAAE,CAAC;AAAE,SAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC;AAAG,QAAI,IAAE,GAAGA,KAAE,GAAE,KAAK,MAAM,IAAG,KAAK,MAAM,eAAc,CAAC,GAAE,IAAE,EAAE,EAAE,IAAI,gCAAgC;AAAE,UAAI,MAAI,KAAK,qBAAmB,KAAG,KAAK,MAAM,oBAAoB,EAAE,OAAO,GAAE,KAAK,sBAAoB,MAAI,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK,iBAAe,IAAG,KAAK;AAAkB,QAAI,IAAE,KAAK,aAAa,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0EAA0E;AAAE,MAAE,OAAO,GAAE,CAAC,GAAE,KAAK,IAAI;AAAA,EAAC;AAAA,EAAC,MAAK;AAAC,QAAG,CAAC,KAAK;AAAW;AAAO,QAAI,IAAE,KAAK,kBAAgB,KAAK;AAAgB,YAAQ,IAAI,aAAY,GAAG,KAAK,qBAAqB,KAAK,mBAAkB,IAAI,IAAI;AAAE,QAAIA,MAAE,KAAK,gBAAc,KAAK;AAAmB,YAAQ,IAAI,oBAAoB,KAAK,oBAAoB,GAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,MAAIA,GAAC,KAAK;AAAA,EAAC;AAAA,EAAC,IAAI,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,IAAI,eAAc;AAAC,WAAO,KAAK;AAAA,EAAa;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK,gBAAc,MAAK;AAAC,eAAQ,KAAK,KAAK;AAAa,aAAK,aAAa,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,eAAK,MAAM,oBAAoBA,IAAE,OAAO;AAAA,QAAC,CAAC;AAAE,eAAQ,KAAK,KAAK;AAAa,aAAK,aAAa,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,eAAK,MAAM,oBAAoBA,IAAE,OAAO;AAAA,QAAC,CAAC;AAAE,WAAK,eAAa,MAAK,KAAK,eAAa,MAAK,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,GAAE,KAAK,gBAAc;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAG,MAAIA,IAAE;AAAK,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAK,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAQ,WAAO;AAAG,MAAG,MAAI,EAAE;AAAK,WAAO;AAAG,MAAG,MAAIA,IAAE;AAAQ,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAM,WAAO;AAAE,QAAM,IAAI,MAAM,2BAA2B,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE;AAAA,EAAC,OAAK;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,GAAGA,KAAE,CAAC;AAAE,SAAO,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAmB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAmB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAiB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAiB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAyB,aAAO,GAAG,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,iCAAiC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAE,GAAG,qBAAmB,GAAG,mBAAiB,IAAE,GAAG,qBAAmB,GAAG;AAAgB;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,GAAG;AAAO,WAAO,GAAG;AAAmB,MAAG,MAAI,GAAG,UAAQ,KAAG;AAAK,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI,GAAG,YAAU,MAAI,GAAG;AAAO,WAAO,GAAG;AAAyB,QAAM,IAAI,MAAM,gCAAgC,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,GAAG,EAAE,CAAC,KAAK,EAAE,CAAC,KAAK,KAAKA;AAAG;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAExwHA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASL;AAAC;AAX+nH,IAW7nH,KAAG;AAX0nH,IAWhmH,KAAG;AAX6lH,IAWjlH,KAAG;AAAiB,IAAI,KAAG;AAAP,IAAiD,KAAG,KAAG;AAAA;AAAA;AAAvD,IAEtE,KAAG,KAAG;AAAA;AAAA;AAFgE,IAItE,KAAG;AAJmE,IAIvD,KAAG;AAAsC,IAAI,KAAG;AAAP,IAAmB,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAtB,IASxD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AATqD,IAmBxD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAnBqD,IA6BxD,KAAG;AA7BqD,IA6Bf,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAEpNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAIA,MAAE,EAAE,QAAO,IAAE,GAAG,MAAKA,GAAC,GAAE,IAAE,GAAGA,GAAC,GAAE,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,IAAEA,OAAG,IAAE,OAAK,QAAQ,EAAE,KAAK,GAAG;AAAK,SAAK,WAAS;AAAA;AAAA,UAElR;AAAA,kCACwB;AAAA;AAAA,4CAEU;AAAA;AAAA;AAAA,EAEvC;AAAC;AAAE,IAAI,KAAG,GAAG;AAAV,IAAoB,KAAG;AAAvB,IAA4B,KAAG;AAA/B,IAAoC,KAAG,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,KAAK,OAAK,GAAG,CAAC,IAAE,CAAC,IAAG,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAE,UAAU,4BAA4B;AAAjD,IAAmD,KAAG;AAAI,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,OAAO,UAAQ,OAAK,OAAK,EAAE,EAAE,OAAO,OAAO,SAAO,EAAE,EAAE,OAAO,OAAO,QAAM,OAAO,mBAAiB,KAAG,OAAK;AAAI;AAAC,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,MAAM,GAAE,KAAK,cAAY,oBAAI,WAAQ,KAAK,kBAAgB,oBAAI,WAAQ,KAAK,eAAa,oBAAI,WAAQ,KAAK,gBAAc,GAAE,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE,KAAK,kBAAgB,GAAE,KAAK,oBAAkB,OAAG,KAAK,iBAAe,GAAE,KAAK,WAAS,OAAG,CAAC,EAAE,EAAE,QAAQ,WAAW;AAAE,YAAM,IAAI,MAAM,uCAAuC;AAAE,QAAIA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAG,aAAa;AAAG,QAAAA,MAAE;AAAA,WAAM;AAAC,YAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,GAAE,CAAC;AAAE,QAAAA,MAAE,IAAI,GAAG,CAAC;AAAA,MAAC;AAAC,WAAK,cAAY,CAAC,GAAE,KAAK,sBAAoB;AAAA,IAAE,OAAK;AAAC,UAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,CAAC;AAAE,MAAAA,MAAE,IAAI,GAAG,CAAC,GAAE,KAAK,cAAY,GAAG,EAAE,EAAE,UAAU,eAAe,CAAC,GAAE,KAAK,sBAAoB;AAAA,IAAE;AAAC,SAAK,QAAMA,KAAE,KAAK,SAAO,KAAK,MAAM,GAAG,QAAO,KAAK,iBAAe,IAAI,GAAG,KAAK,KAAK,GAAE,KAAK,qBAAmB,GAAG,GAAE,KAAK,UAAQ,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,QAAQ,WAAW,IAAE,KAAK;AAAA,EAAc;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK,eAAeA,KAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,WAAS,OAAG,EAAE,UAAQ,EAAC,SAAQ,GAAE,UAAS,CAAC,GAAE,CAAC,EAAC,GAAE,EAAE,WAAS,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAG,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,WAAO,EAAE,QAAMA,KAAE,EAAE,UAAQ,MAAK,KAAK,8BAA8B,CAAC,GAAE,EAAE;AAAA,EAAM;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,SAAI,EAAE,EAAE,QAAQ,gCAAgC,KAAG,EAAE,EAAE,QAAQ,OAAO,MAAI,KAAK,uBAAuB,CAAC,GAAE,MAAI,eAAa,KAAG;AAAK,YAAM,IAAI,MAAM,uEAAuE;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,QAAQ,IAAI,GAAE,EAAC,OAAMA,KAAE,OAAM,GAAE,QAAO,GAAE,OAAM,GAAG,QAAO,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,QAAQ,IAAI,CAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,QAAQ,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,KAAK,uBAAuBA,GAAC,GAAE,MAAI;AAAY,YAAM,IAAI,MAAM,uEAAuE;AAAE,SAAK,QAAQ,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAOA,KAAE,OAAM,GAAG,QAAO,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,8BAA8B,GAAE;AAAC,SAAK,YAAY,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,oBAAmB,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,SAAS,EAAE,MAAM;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,aAAO,KAAK,qBAAqB,CAAC;AAAE,QAAG,MAAI;AAAS,aAAO;AAAE,QAAI,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,EAAE,IAAI;AAAG,QAAI;AAAE,QAAG,MAAI,aAAY;AAAC,UAAI,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC;AAAM,UAAE,KAAK,qBAAqB,CAAC;AAAE,WAAO,MAAI,KAAK,kBAAgB,EAAE,IAAI,IAAE,IAAG,KAAK,qBAAqB,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,KAAK,YAAY,IAAI,CAAC,GAAE;AAAC,UAAI,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,aAAO,IAAI,QAAQ,OAAG,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,OAAM,GAAE,oBAAmB,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,MAAM;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,aAAO,KAAK,qBAAqB,CAAC;AAAE,QAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,CAAC,EAAE,EAAE,QAAQ,8BAA8B,KAAG,EAAE,EAAE,UAAU,eAAe,MAAI;AAAE,YAAM,IAAI,MAAM,8FAA8F;AAAE,QAAI,IAAE,MAAK;AAAE,QAAG,MAAI,eAAa,EAAE,EAAE,IAAI,wBAAwB,GAAE;AAAC,UAAE,KAAK,OAAO,CAAC;AAAE,UAAI,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAE,KAAK,MAAM,wBAAwB,EAAE,QAAQ,SAAQ,GAAG,GAAG,CAAC,CAAC;AAAA,IAAC;AAAC,SAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,MAAI,eAAa,MAAM,KAAK,MAAM,sBAAsB;AAAE,QAAI;AAAE,QAAG,MAAI,aAAY;AAAC,UAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAK,EAAE,KAAK,MAAM,GAAE,KAAK,KAAK,EAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC,WAAS,KAAG;AAAK,UAAE,KAAK,qBAAqB,CAAC;AAAA,SAAM;AAAC,UAAI,IAAE,EAAE,cAAc,CAAC;AAAE,UAAE,KAAK,MAAM,gCAAgC,GAAE,CAAC;AAAA,IAAC;AAAC,QAAG,KAAG,QAAM,KAAK,8BAA8B,CAAC,GAAE,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,MAAM;AAAG,SAAG,GAAE,MAAI,EAAE,aAAa,CAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,qBAAqB,GAAE,CAAC,GAAE,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,WAAO,KAAK,YAAY,OAAO,CAAC,GAAE,EAAE,QAAQ,OAAG,EAAE,CAAC,CAAC,GAAE,KAAK,gBAAgB,IAAI,CAAC,MAAI,KAAK,gBAAgB,OAAO,CAAC,GAAE,KAAK,YAAY,CAAC,KAAG,GAAG,EAAE,aAAa,GAAE,IAAI,GAAE,KAAK,mBAAkB;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,MAAE,CAAC,GAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,GAAE,SAAQ,EAAC,IAAE;AAAE,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,uDAAuD;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,UAAU,GAAEA,GAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,YAAM,KAAG,OAAK,IAAI,MAAM,gCAAgC,IAAE,IAAI,MAAM,iCAAiC;AAAE,QAAI,IAAE,KAAK,OAAO,GAAEA,IAAE,cAAc,GAAE,IAAE,GAAG,EAAE,yBAAyB,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,WAAO,OAAO,OAAO,EAAC,WAAU,EAAC,GAAE,EAAE,OAAO;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAE;AAAC,QAAG,KAAG;AAAK,eAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,YAAI,IAAE,EAAEA,GAAC;AAAE,YAAG,CAAC,GAAG,CAAC;AAAE,gBAAM,EAAE,EAAE,QAAQ,8BAA8B,IAAE,MAAM,aAAa,gJAAgJ,IAAE,MAAM,aAAa,yCAAyC;AAAA,MAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAE;AAAC,QAAG,EAAC,OAAMA,KAAE,OAAM,GAAE,UAAS,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,IAAE,EAAE,cAAcA,GAAC;AAAE,QAAG,EAAE,EAAE,QAAQ,8BAA8B,GAAE;AAAC,UAAI,IAAE,KAAK,OAAO,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,KAAK,MAAM,gCAAgC,EAAE,QAAQ,SAAQ,GAAG,GAAGA,GAAC,CAAC,EAAE,SAAS,GAAE,CAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,YAAY,KAAG,MAAI,MAAG,IAAE,IAAE,GAAGA,GAAC,IAAEA,KAAE,IAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,CAAC,GAAE,SAAS,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,KAAK,MAAM,gDAAgD,EAAE,QAAQ,SAAQ,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,CAAC,EAAE,SAAS,GAAE,CAAC;AAAE,WAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,QAAIA,MAAE,KAAK,cAAa,IAAE,CAAC,GAAE,IAAE;AAAG,SAAK,sBAAoB,QAAM,KAAK,qBAAmB,GAAE,IAAE,QAAI,KAAK,aAAa,KAAK,CAAC,GAAE,KAAK,eAAa,GAAE,EAAE;AAAE,QAAI,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,KAAK,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI,GAAE,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,IAAI,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI;AAAE,SAAK,eAAaA,KAAE,MAAI,KAAK,qBAAmB;AAAM,QAAI,IAAE,EAAC,cAAa,KAAK,cAAa,gBAAe,KAAK,gBAAe,UAAS,MAAK,QAAO,KAAI;AAAE,YAAO,YAAS;AAAC,UAAG,EAAE,EAAE,UAAU,+CAA+C,IAAE,GAAE;AAAC,YAAI,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,UAAE,WAAS,EAAE,IAAI,CAAC,GAAE,EAAE,sBAAoB,MAAI,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,MAAK,EAAE,CAAC,GAAE,IAAG,EAAC,EAAE,EAAE,IAAI,OAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI;AAAA,MAAC;AAAM,UAAE,WAAS,EAAC,OAAM,4DAA2D;AAAE,aAAO,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE;AAAA,IAAC,GAAG;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,OAAG,eAAc,KAAK,eAAc,wBAAuB,KAAK,eAAe,mBAAkB,mBAAkB,KAAK,eAAe,aAAY;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE,IAAE,KAAK,MAAM,WAAW,IAAE,EAAC,SAAQ,EAAE,IAAI,GAAE,OAAM,KAAI;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE,KAAG,KAAK,MAAM,SAAS,GAAE,MAAI,EAAE,QAAM,EAAE,IAAI,GAAE;AAAA,EAAE;AAAA,EAAC,MAAM,aAAa,GAAE;AAAC,QAAG,EAAE,EAAE,UAAU,+CAA+C,IAAE;AAAE,aAAO,KAAK,MAAM,uBAAuB,CAAC;AAAE,QAAIA,MAAE;AAAE,WAAOA,IAAE,QAAMA,IAAE;AAAA,EAAO;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,gBAAgB,IAAI,CAAC;AAAE,aAAM;AAAG,QAAG,CAAC,KAAK,QAAQ,IAAI,CAAC;AAAE,aAAM;AAAG,QAAGA,MAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS,IAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,YAAW,CAACA,OAAG,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS;AAAE,aAAM;AAAG,QAAG,KAAK,YAAY,IAAI,CAAC;AAAE,aAAO,KAAK,gBAAgB,IAAI,CAAC,GAAE,KAAK,kBAAiB;AAAG,SAAK,eAAe,CAAC;AAAE,QAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,WAAO,KAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,GAAE,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,IAAG,KAAK,QAAQ,OAAO,CAAC,GAAE;AAAA,EAAE;AAAA,EAAC,eAAe,GAAE;AAAC,QAAG,EAAC,SAAQA,KAAE,OAAM,GAAE,UAAS,GAAE,OAAM,GAAE,UAAS,GAAE,OAAM,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,IAAE,KAAG,EAAE,cAAY,GAAE,IAAE,KAAK,aAAa,IAAI,CAAC;AAAE,QAAE,IAAE,KAAK,aAAa,IAAI,GAAE,IAAE,CAAC,KAAG,KAAK,aAAa,OAAO,CAAC,GAAEA,OAAG,SAAO,KAAK,iBAAe,KAAK,aAAa,GAAE,CAAC,GAAE,KAAK,eAAe,eAAeA,KAAE,GAAE,GAAE,CAAC;AAAI,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,MAAE,UAAQ,MAAK,EAAE,WAAS,MAAK,EAAE,WAAS,OAAG,EAAE,QAAM;AAAA,EAAI;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,KAAK,YAAY,CAAC,GAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,QAAQ;AAAA,EAAO;AAAA,EAAC,YAAY,GAAE;AAAC,WAAO,KAAK,QAAQ,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,MAAE,IAAG;AAAC,WAAO,EAAE,EAAE,QAAQ,mBAAmB,KAAG,EAAE,MAAM,OAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,WAAS,QAAM,EAAE,cAAc,EAAE,KAAK,IAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,kBAAiB;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,MAAM,GAAE;AAAC,MAAE,KAAK,uEAAuE;AAAE,QAAIA,MAAE,EAAE,SAAS;AAAE,WAAO,GAAG,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAMA,GAAC,GAAE,IAAE,KAAK,cAAc,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,QAAG,KAAK,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,MAAM;AAAE,aAAO,KAAK,WAAW,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,EAAE,QAAQ,6BAA6B;AAAE,aAAO,KAAK,cAAc,GAAE,IAAG,EAAE,KAAK;AAAE,QAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAE,IAAE,KAAK,cAAcA,KAAE,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAE,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI;AAAE,QAAGA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAA,IAAC;AAAM,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAE,WAAO,KAAK,QAAQ,IAAI,CAAC,EAAE,QAAM,MAAK,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,EAAE,yBAAyB,KAAK,eAAe,GAAEA,KAAE,CAAC,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAIA,MAAE,IAAI,GAAG,EAAE,KAAK;AAAE,WAAO,KAAK,gBAAgBA,KAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE;AAAG,WAAO,KAAK,gBAAgBA,KAAE,CAAC,CAAC,GAAE,EAAE,OAAM,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE;AAAC,QAAI,IAAE,CAAC,GAAG,EAAE,KAAK,GAAE,GAAG,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,QAAO,EAAE,OAAM,GAAE,IAAE,CAAC,GAAGA,GAAC,GAAE,GAAG,GAAGA,GAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAMA,KAAE,OAAM,EAAE,MAAK;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,UAAS,GAAE,OAAM,GAAE,OAAM,EAAC,IAAE;AAAE,QAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAEA,IAAE,CAAC,IAAE;AAAE,QAAE,OAAO,KAAG,GAAE,MAAI,2GAA2G;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE;AAAE,QAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAE,IAAI,GAAG,CAAC;AAAE,QAAI,IAAE,MAAG,IAAE,CAACA,OAAG,OAAKA,MAAE,GAAG,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,CAAC,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAE,WAAM,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAE,OAAM;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,GAAE;AAAC,QAAI,IAAE,KAAK,eAAe,EAAE,aAAY,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,iBAAe,EAAE,WAAS,OAAI,EAAE,qBAAmB,GAAG,OAAM;AAAC,UAAI,IAAE,KAAG,OAAK,IAAE,GAAG,EAAE,WAAW;AAAE,QAAE,WAAS,EAAE,IAAI,OAAG,IAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,eAAa,SAAO,EAAE,QAAM,EAAE,cAAa,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,aAAO,EAAE,SAAO,EAAE,uBAAuB,EAAE,OAAM,CAAC,GAAE;AAAE,QAAI,IAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG;AAAC,UAAG,EAAE,UAAQ;AAAY,cAAM,IAAI,MAAM,iIAAiI;AAAE,UAAI,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAG,EAAE,WAAS,MAAK;AAAC,YAAG,CAAC,EAAE,gBAAc,EAAE,cAAc,EAAE,KAAK,KAAG,EAAE,EAAE,UAAU,2BAA2B;AAAE,iBAAM,EAAC,OAAM,EAAE,OAAM,SAAQ,MAAK,WAAU,MAAG,eAAc,EAAE,OAAM;AAAE,UAAE,iBAAe,EAAE,WAAS,MAAG,EAAE,QAAM,EAAE;AAAA,MAAM;AAAC,UAAG,KAAK,YAAY,EAAE,MAAM,GAAE,CAAC,CAAC,EAAE,YAAU,CAAC,CAAC,EAAE;AAAa,YAAE,EAAE,WAAS,KAAK,aAAa,CAAC,IAAE,KAAK,WAAW,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAA,eAAU,EAAE,YAAU,CAAC,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE;AAAC,YAAI,IAAE,GAAE,IAAE,EAAE;AAAM,UAAE,QAAM,EAAE,OAAM,IAAE,KAAK,cAAc,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,EAAE,QAAM;AAAA,MAAC;AAAC,aAAM,EAAC,OAAM,EAAE,OAAM,SAAQ,GAAE,WAAU,MAAE;AAAA,IAAC,CAAC;AAAE,SAAK,YAAY,EAAE,MAAM;AAAE,QAAI,IAAE,EAAC,OAAM,EAAE,OAAM,SAAQ,GAAE,WAAU,MAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,KAAK,iBAAiB,GAAE,MAAI,GAAG,KAAK,OAAM,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,KAAK,WAAW,IAAG,EAAE,EAAE,IAAI,qBAAqB,KAAG,GAAG,KAAK,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,QAAQ,OAAG,KAAK,8BAA8B,CAAC,CAAC,GAAE,MAAI,IAAE,KAAK,SAAS,CAAC,GAAE,KAAK,aAAa,KAAK,EAAC,MAAK,EAAE,YAAY,MAAK,OAAM,KAAK,aAAa,CAAC,EAAC,CAAC;AAAG,QAAI,IAAE,EAAE,EAAE,IAAI,uBAAuB;AAAE,QAAG,IAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI;AAAE,UAAE,KAAK,kBAAgB,MAAI,KAAK,MAAM,GAAG,MAAM,GAAE,KAAK,kBAAgB;AAAA,IAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,qBAAqB,KAAG,EAAE,YAAU,MAAI,OAAG;AAAC,UAAI,IAAE,KAAK,aAAa,CAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG;AAAC,WAAO,IAAE,KAAGA,IAAE,CAAC,EAAE,OAAM,KAAK,gBAAgB,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,WAAO,KAAK,KAAK,gBAAc,KAAK,YAAY,CAAC,IAAEA,IAAE,IAAG,KAAK,YAAY,CAAC;AAAA,EAAC;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,UAAS;AAAC,SAAK,aAAW,EAAE,EAAE,QAAQ,SAAS,KAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,CAAAA,QAAG;AAAC,WAAK,MAAM,cAAc,KAAK,YAAYA,GAAC,EAAE,YAAY,GAAE,OAAO,KAAK,YAAYA,GAAC;AAAA,IAAC,CAAC,GAAE,KAAK,eAAe,QAAQ,GAAE,KAAK,UAAQ,QAAM,OAAO,qBAAmB,eAAa,KAAK,kBAAkB,oBAAkB,KAAK,OAAO,OAAO,IAAE,KAAK,SAAO,MAAK,KAAK,wBAAsB,KAAK,MAAM,UAAQ,MAAK,KAAK,MAAM,QAAQ,IAAG,KAAK,WAAS;AAAA,EAAG;AAAA,EAAC,iBAAgB;AAAC,WAAO,KAAK,uBAAqB,SAAO,KAAK,sBAAoB,GAAG,MAAI;AAAC,UAAG,CAAC,EAAE,EAAE,IAAI,8BAA8B,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE,QAAQ,OAAO;AAAE,UAAE,EAAE,IAAI,SAAQ,KAAE;AAAE,YAAIA,MAAE,KAAK,IAAI,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,CAAC;AAAE,YAAG,EAAE,EAAE,IAAI,SAAQ,CAAC,GAAEA,MAAE;AAAE,iBAAO;AAAA,MAAE;AAAC,aAAO;AAAA,IAAE,CAAC,IAAG,KAAK;AAAA,EAAmB;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,eAAe,MAAI,KAAG,KAAG;AAAA,EAAE;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,OAAM,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG;AAAK;AAAO,QAAI,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,EAAE,IAAI;AAAG,QAAI,IAAEA,IAAE;AAAS,QAAG,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,GAAEA,IAAE,WAAS,IAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,aAAa,cAAY,aAAa;AAAkB,OAAC,KAAG,CAAC,OAAK,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,IAAE,IAAE,IAAI,GAAG,GAAE,CAAC,IAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,UAAI,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAK,eAAe,GAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAE,EAAE,QAAM,GAAG,SAAO,EAAE,QAAM,GAAG,QAAO,EAAE,WAAS,GAAE,KAAK,MAAM,2BAA2B,KAAK,WAAW,EAAE,MAAM,GAAE,GAAE,GAAE,CAAC;AAAE,UAAI,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,MAAG,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAAA,IAAE,WAAS,EAAE,UAASA,IAAE,WAAS,EAAE,UAASA,IAAE,QAAM,EAAE,OAAM,EAAE,EAAE,IAAI,qBAAqB,IAAE,KAAK,YAAY,EAAE,MAAM,KAAGA,IAAE,UAAQ,EAAE,SAAQA,IAAE,SAAO,MAAK,KAAK,QAAQ,OAAO,EAAE,MAAM,IAAG,KAAK,8BAA8B,CAAC,GAAE,MAAI,KAAK,gBAAc,EAAE,IAAI,IAAE;AAAA,IAAE,OAAK;AAAC,UAAI,IAAE,KAAK,eAAe,GAAE,GAAE,GAAE,CAAC;AAAE,MAAAA,IAAE,UAAQ;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,WAAOA,OAAG,SAAO,EAAE,SAAO,GAAGA,KAAE,CAAC,IAAG,EAAE;AAAA,EAAM;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAK,iBAAe,KAAK,aAAa,GAAE,CAAC,GAAE,CAAC,KAAK,qBAAmB,KAAK,gBAAc,KAAK,qBAAmB,OAAK,MAAK;AAAC,UAAI,KAAG,KAAK,gBAAc,OAAK,MAAM,QAAQ,CAAC;AAAE,WAAK,oBAAkB,MAAG,QAAQ,KAAK,6BAA6B,wCAAwC;AAAA,IAAC;AAAC,WAAO,KAAK,eAAe,eAAe,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,WAAO,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,gBAAgBA,GAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,aAAO,CAAC,EAAC,CAAC,KAAI,OAAO,QAAQ,KAAK,WAAW;AAAE,WAAK,iBAAiB,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,8BAA6B;AAAC,QAAI,IAAE,CAAC;AAAE,QAAG,KAAK,MAAM,8BAA6B;AAAC,eAAO,CAAC,EAACA,GAAC,KAAI,OAAO,QAAQ,KAAK,WAAW;AAAE,UAAE,KAAK,KAAK,sBAAsBA,GAAC,CAAC;AAAE,aAAO,QAAQ,IAAI,CAAC;AAAA,IAAC,OAAK;AAAC,eAAO,CAAC,EAACA,GAAC,KAAI,OAAO,QAAQ,KAAK,WAAW,GAAE;AAAC,YAAI,IAAE,IAAI,QAAQ,OAAG;AAAC,cAAG;AAAC,iBAAK,iBAAiBA,GAAC,GAAE,EAAE,IAAE;AAAA,UAAC,SAAO,GAAN;AAAS,kBAAM;AAAA,UAAC;AAAA,QAAC,CAAC;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC;AAAC,aAAO,QAAQ,IAAI,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,sBAAsB,GAAE;AAAC,WAAO,KAAK,MAAM,GAAG,oBAAoB,EAAE,cAAa,KAAK,MAAM,6BAA6B,qBAAqB,IAAE,KAAK,iBAAiB,CAAC,KAAG,MAAM,GAAG,GAAE,KAAK,sBAAsB,CAAC;AAAA,EAAE;AAAA,EAAC,iBAAiB,GAAE;AAAC,QAAG,KAAK,MAAM,GAAG,oBAAoB,EAAE,cAAa,KAAK,MAAM,GAAG,WAAW,MAAI;AAAG,YAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkB,EAAE,YAAY,CAAC,GAAE,KAAK,MAAM,GAAG,mBAAmB,EAAE,gBAAe,KAAK,MAAM,GAAG,cAAc,MAAI,SAAI,GAAG,EAAE,QAAO,KAAK,MAAM,GAAG,iBAAiB,EAAE,cAAc,CAAC,GAAE,IAAI,MAAM,oCAAoC,KAAG,IAAI,MAAM,6CAA6C;AAAE,WAAM;AAAA,EAAE;AAAA,EAAC,sBAAqB;AAAC,aAAO,CAAC,EAAC,CAAC,KAAI,OAAO,QAAQ,KAAK,WAAW,GAAE;AAAC,UAAG,EAAC,kBAAiBA,KAAE,wBAAuB,GAAE,QAAO,GAAE,QAAO,GAAE,mBAAkB,GAAE,sBAAqB,GAAE,kBAAiB,GAAE,yBAAwB,GAAE,qBAAoB,EAAC,IAAE,GAAG,KAAK,OAAM,EAAE,SAAQ,EAAE,YAAY;AAAE,QAAE,mBAAiBA,KAAE,EAAE,yBAAuB,GAAE,EAAE,SAAO,GAAE,EAAE,SAAO,GAAE,EAAE,oBAAkB,GAAE,EAAE,uBAAqB,GAAE,EAAE,mBAAiB,GAAE,EAAE,0BAAwB,GAAE,EAAE,sBAAoB;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,MAAE,WAAS,EAAE,YAAU;AAAO,QAAG,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,GAAG,EAAE;AAAQ,QAAG,CAAC,EAAE,MAAM,GAAG,UAAU,CAAC;AAAE,YAAM,IAAI,MAAM,+RAA+R;AAAE,QAAI,IAAE,EAAE,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,qBAAqB,GAAEA,KAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI;AAAY,WAAO;AAAE,MAAG,MAAI,WAAS,MAAI,QAAO;AAAC,QAAIA,MAAE,MAAI,UAAQ,IAAI,WAAW,EAAE,MAAM,IAAE,IAAI,WAAW,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE;AAAE,MAAAA,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAM,UAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,IAAI,KAAG;AAAQ,SAAS,KAAI;AAAC,IAAE,EAAE,IAAI,4BAA2B,IAAE;AAAC;AAAC,GAAG,UAAU,KAAG,GAAG,SAAQ,MAAI,IAAI,MAAG,CAAC;AAAE,IAAI,MAAI,EAAC,gBAAe,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAGtyiB,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAE3K;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQL;AAAC;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAKb,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,uBAAqB,MAAG,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC;AAAE,QAAI,IAAE,KAAK,YAAY;AAAO,SAAK,sBAAoB,GAAG,CAAC;AAAE,QAAI,IAAE;AAAG,QAAG;AAAE,UAAG,MAAI,KAAG,EAAE,cAAc,KAAK,WAAW,MAAI;AAAE,YAAE;AAAA;AAAA;AAAA;AAAA;AAAA,eAIzS,IAAE;AAAA,YACR,GAAG,CAAC;AAAA,WACN,MAAI;AAAE,aAAK,sBAAoB,KAAG;AAAA;AAAA;AAAA;AAAA,cAIhC,KAAG;AAAA,yCAC0B,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA;AAAA,WAG3C;AAAC,YAAI,IAAE,GAAG,UAAS,CAAC;AAAE,aAAK,sBAAoB,KAAG;AAAA;AAAA,iBAEjD,EAAE,IAAE,CAAC,sBAAsB;AAAA;AAAA,iBAE3B,EAAE,IAAE,CAAC,sBAAsB;AAAA;AAAA;AAAA;AAAA,cAIhC,KAAG;AAAA;AAAA,iBAEE,EAAE,IAAE,CAAC,aAAa,KAAK,YAAY,IAAE,CAAC;AAAA;AAAA,iBAEtC,EAAE,IAAE,CAAC,aAAa,KAAK,YAAY,IAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAI5C;AAAC,SAAK,WAAS;AAAA;AAAA,UAEhB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,SAAOA,IAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAsC,KAAG;AAAA;AAAA;AAAA;AAGngB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAsC,KAAG;AAAA;AAAA;AAAA;AAGha,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAA0B,SAAS,GAAG,EAAC,WAAU,GAAE,iBAAgB,GAAE,eAAcA,KAAE,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,KAAG,EAAE;AAAM,QAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,KAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,EAAE,QAAO,CAAC;AAAE,aAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,KAAG,KAAG,MAAK;AAAE,WAAO,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,EAAC,WAAU,GAAE,iBAAgB,GAAE,kBAAiBA,MAAE,OAAG,iBAAgB,IAAE,OAAG,eAAc,GAAE,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAG,KAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,GAAE,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAI,OAAG;AAAC,YAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,eAAO,EAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAA,MAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAG,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAI,EAAE,UAAQ,YAAU,EAAE,UAAQ,YAAU,EAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,MAAI,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,aAAO,EAAE,SAAO,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,8BAA8B,KAAG,KAAG,MAAK;AAAE,WAAO,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,OAAMA,GAAC,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,EAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAG,MAAI;AAAS,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAO,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAM,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAQ,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAQ,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAY,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAU,WAAO,IAAE,KAAG;AAAG,QAAM,IAAI,MAAM,cAAc,mDAAmD;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,SAAS,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,IAAE,gBAAc,eAAc,IAAE,IAAE,gBAAc,eAAc,IAAE,IAAE,CAAC,UAAS,QAAQ,IAAE,CAAC,UAAS,QAAQ,GAAE,IAAE,IAAE,CAAC,UAAS,QAAQ,IAAE,CAAC,UAAS,QAAQ,GAAE,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAE1kF;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA,YACD;AAAA,YACD,IAAE;AAAgC,QAAI,IAAE,IAAE,oCAAkC;AAAG,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB;AAAE,QAAI,IAAE,QAAO,IAAE;AAAO,MAAE,CAAC,IAAEA,IAAE,CAAC,IAAE,IAAE,cAAc,EAAE,CAAC,OAAKA,IAAE,CAAC,IAAE,EAAE,CAAC,MAAI,IAAE,cAAcA,IAAE,CAAC,OAAM,KAAK,WAAS;AAAA,QAClU;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,uBAIf;AAAA,uBACA;AAAA,8BACO;AAAA,wCACU;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA,uBAIjB,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA,uBACb,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAS1B;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,IAAI,KAAG,EAAC,MAAK,yCAAwC,MAAK,wCAAuC;AAAjG,IAAmG,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,SAAQ,OAAO,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA,UAGnP;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUL;AAAC;AAAE,IAAI,KAAG;AAAgB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,IAAI,GAAG,GAAG,MAAK,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAG,MAAK,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,QAAO,EAAE,QAAO,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,CAAC,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,SAAO,GAAE;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,GAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAG,EAAE,KAAK,GAAE,GAAG,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,QAAO,EAAE,OAAM,GAAE,IAAE,CAAC,GAAG,CAAC,GAAE,GAAG,GAAG,CAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF;AAAE,MAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,EAAE,YAAU,CAAC,GAAG,EAAE,OAAM,CAAC,KAAG,EAAE,EAAE,YAAU,QAAM,GAAG,EAAE,OAAM,CAAC,KAAG,GAAG,GAAE,GAAE,CAAC,KAAG,EAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAE;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,QAAO,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAiC,QAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,IAAEA;AAAE,UAAE,4BAA4B,EAAE,MAAM,CAAC,IAAE,EAAE,YAAY,CAAC,IAAE;AAAA,IAAW;AAAC,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACtvE;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,UAIb;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA;AAAA,EAIP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,QAAO,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,OAAM,IAAE;AAAG,IAAAA,QAAI,SAAO,IAAE,QAAMA,QAAI,SAAO,IAAE,eAAc,IAAE,SAAOA,QAAI,UAAQ,IAAE,gBAAe,IAAE;AAAO,QAAI,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,QAAM,IAAE,aAAWA,QAAI,SAAO,IAAE,cAAYA,QAAI,QAAM,IAAE,aAAWA,QAAI,UAAQ,IAAE;AAAY,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YACrcA,QAAI;AAAA;AAAA,mBAEGA,QAAI;AAAA;AAAA;AAAA;AAAA,wBAIC;AAAA,cACVA,QAAI,YAAYA,QAAI;AAAA,0BACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAOpB,IAAE;AAAO,IAAAA,QAAI,SAAO,IAAE,OAAM,IAAE;AAAA;AAAA;AAAA;AAAA,SAI5B,IAAE,WAASA,QAAI,UAAQ,IAAE,OAAM,IAAE;AAAA;AAAA;AAAA;AAAA,SAIjC,IAAE;AAAS,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACF;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA,0CACmB;AAAA;AAAA;AAAA;AAAA,UAIhC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJ;AAAA;AAAA,YAElB,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA,YACN,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA,qBACS,MAAI;AAAA,YACb,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA,qBACS,MAAI;AAAA,YACb,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA;AAAA,oBAEQ;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAK,EAAE,WAAS,KAAG,EAAE,EAAE,SAAO,CAAC,EAAE,YAAU,KAAG;AAAC,QAAIA,MAAE,EAAE,SAAO,EAAE,EAAE,SAAO,CAAC,EAAE,UAAQ,EAAE,CAAC,GAAE,IAAE,EAAE,yBAAyBA,GAAC;AAAE,MAAE,KAAK,EAAC,QAAOA,KAAE,YAAW,GAAE,SAAQ,KAAK,KAAKA,MAAE,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAG,EAAC,QAAO,GAAE,YAAW,GAAE,SAAQ,EAAC,IAAE,EAAE,CAAC,GAAE,GAAE;AAAE,IAAAA,QAAI,SAAO,IAAE,MAAI,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,GAAE,CAAC,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,CAAC,IAAE,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,GAAEA,GAAC,GAAE,IAAE,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,EAAE,WAAS,EAAE,UAAQ,EAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAGA,GAAC;AAAE,SAAK,WAAS;AAAA;AAAA,QAEv0B;AAAA,uBACe;AAAA;AAAA;AAAA,EAElB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,sBAAsB,wBAAwB;AAAE,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,EAAE,CAAC,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,OAAK;AAAE,YAAM,MAAM,6BAA6B,KAAK,4BAA4B;AAAE,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,MAAK,KAAK,IAAI,GAAE,IAAE,IAAI,MAAM,KAAK,IAAI;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAEA,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC;AAAE,QAAI,IAAE,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,KAAK,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC,KAAI,IAAE,mBAAmB,EAAE,KAAK,OAAO;AAAK,SAAK,WAAS;AAAA;AAAA,QAE9vB;AAAA;AAAA,oBAEY;AAAA,WACT;AAAA,sBACW;AAAA;AAAA,UAEZ,EAAE,KAAK,OAAK,CAAC;AAAA,aACV,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,sBACxB;AAAA,aACT;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKnB;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE;AAAE,QAAI,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,EAAAA,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,KAAG,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAI;AAAE,MAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,QAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,QAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,SAAO;AAAA,EAAC;AAAM,QAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAI,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,KAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,KAAG,OAAK,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,KAAG,KAAG,KAAG,KAAG,MAAK;AAAE,OAAI,MAAI,KAAG,MAAI,MAAI,IAAE,MAAI,MAAI,OAAG;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,IAAAA,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,QAAI,KAAG,MAAI,GAAE,KAAG,MAAI,GAAE,IAAE;AAAE,WAAK,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,QAAI,KAAG,MAAI,IAAE,IAAE,GAAE,KAAG;AAAE,WAAK,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,EAAE;AAAG,QAAI,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,IAAG,UAAS,KAAE,EAAC,CAAC,GAAE,EAAE,KAAK,EAAE;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,CAAC,GAAE,CAAC;AAAE,QAAG,KAAG,QAAM,GAAG,KAAK,CAAC,GAAE,KAAG,GAAG,KAAK,CAAC,GAAE,GAAE;AAAC,UAAI,KAAG,EAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,SAAG,KAAK,EAAE,GAAE,EAAE,KAAK,EAAE;AAAA,IAAC;AAAC,QAAE,EAAE,gBAAgB,GAAE,IAAG,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAiB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAV,IAKttH,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AALksH,IAKhsH,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEzC,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFqB,IAEnB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAuB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,iBAAgB,MAAG,eAAc,GAAE,CAAC;AAAlG,IAAoG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,gBAAcA,IAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,UAAU,UAAU,iBAAiB;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,SAAK,WAAS;AAAA;AAAA,UAEvgB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgB;AAAA;AAAA;AAAA;AAAA,EAGpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,gBAAcA,IAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,SAAS,UAAU,iBAAiB;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,SAAK,WAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEe;AAAA;AAAA;AAAA;AAAA,EAGnB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,EAAE,IAAI,8BAA8B,GAAE;AAAC,QAAI,IAAE,KAAK,MAAM,EAAE,SAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAE,MAAM,GAAE,CAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAE,MAAM,CAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,CAAC,GAAE,CAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,CAAC,GAAE,MAAI,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,EAAE,EAAE,QAAQ,YAAY,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAG,KAAK,cAAc,KAAK,cAAc,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAEA,QAAI,QAAM,MAAI,KAAI,IAAE,IAAE,kBAAgB;AAA+C,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKtuE;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJ;AAAA,wBACN;AAAA;AAAA,0BAEE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,EAAE,OAAO,EAAE,SAAO,GAAE,MAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,2CAA2C;AAAE,QAAI,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,KAAK,KAAK,IAAEA,GAAC;AAAE,SAAK,cAAY,EAAE,MAAM,GAAE,EAAE,GAAE,IAAE,KAAG,KAAK,YAAY,KAAK,CAAC,GAAE,KAAG,KAAK,cAAc,KAAK,cAAc;AAAE,QAAI,IAAE,KAAK,aAAY,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,GAAE;AAAE,QAAG,MAAI,GAAE;AAAC,UAAE,IAAE;AAAE,UAAI,IAAE,GAAG,CAAC;AAAE,UAAE;AAAA,UAClc,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,IAAI;AAAM,UAAE,GAAE,IAAE;AAAA,UACvB;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAK,QAAI,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,MAAI,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,SAAO,CAAC,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,MAAI,QAAM,gBAAc,YAAW,IAAE,IAAE,KAAG;AAAA,sDAC7P,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK,SAAQ,IAAE;AAAA,0BAC7C,EAAE,KAAK;AAAA,uCACM,EAAE,KAAK;AAAA,uCACP,EAAE,KAAK;AAAA,qDACO,EAAE,KAAK,YAAW,IAAE,IAAE,KAAG;AAAA,qCACzC,EAAE,KAAK;AAAA,4CACA,EAAE,KAAK;AAAA,iDACF,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AACzD,SAAK,WAAS;AAAA,0BACG,EAAE,KAAK;AAAA,iCACA,EAAE,KAAK;AAAA,sCACF,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/C;AAAA;AAAA,UAEE;AAAA,4BACkB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC,IAAE;AAAA,4BACnB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC,IAAE;AAAA,UACrC;AAAA,yCAC+B,gBAAgB;AAAA,sBACnC,gBAAgB,QAAQA;AAAA;AAAA;AAAA,2BAGnB;AAAA;AAAA,8BAEGA;AAAA;AAAA,YAElB;AAAA,6BACiB;AAAA;AAAA;AAAA,mBAGV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWd;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,OAAG,SAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,EAAE,yBAAyB,CAAC,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,SAAQ,KAAK,KAAK,IAAE,CAAC,EAAC,GAAE,IAAE,IAAI,GAAG,GAAEA,KAAE,KAAG,IAAI,GAAE,IAAE,CAAC,CAAC;AAAE,OAAG,QAAM,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,GAAE,GAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK;AAAC,MAAI,IAAE,KAAG,OAAK,EAAE,QAAM,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,yBAAyB,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,KAAG,IAAI,GAAE,IAAE,KAAG,OAAK,CAAC,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,GAAE,GAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,WAAO,EAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAACA,GAAC;AAAE,MAAG,EAAE,2BAA2B,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,MAAM,MAAM,GAAE,CAAC,EAAE,EAAE,QAAQ,mBAAmB,KAAG,EAAE,MAAM,UAAQ,GAAE;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,MAAI,QAAM,EAAE,UAAS,IAAE;AAAE,UAAI,IAAE,EAAE,aAAa,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAG,EAAE,8BAA8B,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,GAAGA,KAAE,GAAE,EAAE,CAAC,GAAE,KAAK;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,GAAGA,KAAE,GAAE,EAAE,CAAC,GAAE,KAAK;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAV,IAK3lE,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AALukE,IAKrkE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAV,IAA+C,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAAnE,IAAqE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAErM,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFiL,IAE/K,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPsE,IAS3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAToC,IASlC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEnD,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAF+B,IAE7B,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAEA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,QAAI,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,cAAY,EAAE;AAAS,QAAI,IAAEA,QAAI,OAAM,IAAE,cAAc,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,kBAAiB,IAAE,SAAS,EAAE,mBAAmB,EAAE,kBAAiB,IAAE;AAAM,QAAG,MAAI,IAAE,iBAAgB,GAAE;AAAC,UAAI,IAAE;AAAK,WAAK,WAAS;AAAA,sCAC3nB,MAAM;AAAA,mCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZ;AAAA;AAAA;AAAA,mCAGS,IAAE,IAAE,IAAE,IAAE,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAM3C;AAAA,IAAM;AAAC,QAAI,IAAE,OAAM,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,UAAQ,IAAE;AAA8B,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YAChL;AAAA;AAAA;AAAA,wBAGY;AAAA;AAAA;AAElB,SAAK,WAAS;AAAA,oCACgB,MAAM;AAAA,iCACT,MAAM;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA;AAAA;AAAA,yCAIE;AAAA,6CACI;AAAA,6CACA;AAAA;AAAA;AAAA,cAG/B;AAAA;AAAA;AAAA,gCAGkB;AAAA,gBAChB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQN;AAAA,uBACS,MAAI;AAAA;AAAA;AAAA,yCAGc;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3B;AAAA,uBACS,MAAI;AAAA;AAAA;AAAA,yCAGc;AAAA,6CACI;AAAA;AAAA;AAAA;AAAA,cAI/B;AAAA;AAAA;AAAA,oBAGM;AAAA;AAAA;AAAA,EAEf;AAAC;AA7IkH,IA6IhH,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAEA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,QAAI,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,cAAY,EAAE;AAAS,QAAI,IAAEA,QAAI,OAAM,IAAE;AAAM,QAAG,MAAI,IAAE,iBAAgB,GAAE;AAAC,UAAI,IAAE;AAAK,WAAK,WAAS;AAAA;AAAA,oBAEre,MAAM,MAAM;AAAA,mCACG,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBb;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA;AAAA,0BACZ;AAAA;AAAA;AAAA,sCAGY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZ;AAAA;AAAA;AAAA,qCAGS,IAAE,IAAE,cAAc,EAAE,mBAAmB,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,oBAAkB,UAAU,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,oBAAkB,QAAQ,OAAO;AAAA,6BACtM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAOrB;AAAA,IAAM;AAAC,QAAI,IAAE,OAAM,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,UAAQ,IAAE;AAA8B,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YAChL;AAAA;AAAA;AAAA,wBAGY;AAAA;AAAA;AAElB,SAAK,WAAS;AAAA;AAAA,gBAEJ,MAAM,MAAM;AAAA,iCACK,MAAM,MAAM;AAAA,0CACH;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGc,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,yCACK;AAAA;AAAA;AAAA;AAAA,+CAIM;AAAA,mDACI;AAAA,mDACA;AAAA;AAAA;AAAA,gBAGnC;AAAA;AAAA;AAAA,kCAGkB;AAAA,kBAChB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQN;AAAA,yBACS,MAAI;AAAA;AAAA;AAAA,+CAGkB;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B;AAAA,yBACS,MAAI;AAAA;AAAA;AAAA,+CAGkB;AAAA,mDACI;AAAA;AAAA;AAAA;AAAA,gBAInC;AAAA;AAAA;AAAA;AAAA,oBAII;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,KAAGA,MAAE;AAAG,SAAK,WAAS;AAAA,iCAChnC,MAAM;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcV;AAAA,oBACZ;AAAA,gDAC4B;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACf;AAAA,kDAC+B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAanC;AAAC;AA1C21B,IA0Cz1B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,KAAGA,MAAE,IAAE;AAAG,SAAK,WAAS;AAAA,iCACtX,MAAM,MAAM;AAAA,0CACH;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZ;AAAA,gDAC4B;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZ;AAAA,kDAC4B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ;AAAA,wBACZ;AAAA,oDAC4B;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC;AAAE,QAAI,IAAE;AAAM,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,GAAE,IAAE;AAA0B,QAAI,IAAE;AAAM,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,GAAE,IAAE,0BAAyB,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK/pC;AAAA,wBACD;AAAA,2DACmC;AAAA;AAAA;AAAA;AAAA,EAGtD;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC;AAAE,QAAI,IAAE;AAAY,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,GAAE,IAAE;AAA0B,QAAI,IAAE;AAAY,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,GAAE,IAAE,0BAAyB,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA,wBAEtc;AAAA,uBACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkC;AAAA;AAAA;AAAA;AAAA;AAAA,EAIpD;AAAC;AAAE,IAAI,KAAG,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,MAAK,GAAE,UAAS,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,8EAA8E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,4EAA4E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,2EAA2E;AAAE,MAAG,EAAC,iBAAgB,EAAC,IAAEA;AAAE,OAAG,SAAO,IAAE;AAAM,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE,EAAE,EAAE,QAAQ,0BAA0B,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,GAAE,EAAE,CAAC,EAAE,KAAK;AAAC;AAArwB,IAAuwB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAIA,MAAE,GAAG,KAAK,IAAI;AAAE,SAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,YAAW,KAAK,MAAK,MAAK,MAAK,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,aAAa,GAAG,CAAC,aAAa,eAAe,GAAG,CAAC,IAAI;AAAE,QAAE;AAAA,UACjlCA;AAAA,UACAA;AAAA,UACA,EAAE,KAAK;AAAA,CAChB;AAAA,SACO,KAAK,WAAS;AAAA;AAAA,UAEZ;AAAA,8BACoB;AAAA;AAAA;AAAA,EAEzB;AAAC;AAV8zB,IAU5zB,KAAG,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,KAAG;AAAE,WAAO,GAAG,MAAM,GAAE,CAAC,EAAE,IAAI,OAAG,eAAa,CAAC,EAAE,KAAK,GAAG;AAAE,QAAM,MAAM,oBAAoB,wBAAwB;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,YAAW,KAAK,MAAK,MAAK,MAAK,CAAC;AAAE,QAAIA,MAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,UAAS,KAAK,IAAI,GAAE,IAAE,GAAG,aAAY,KAAK,IAAI,GAAE,IAAE,KAAK,SAAO,IAAE,cAAY,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,wBAAwB,EAAE,KAAK,OAAO,MAAK,IAAE;AAAA,mBACrjB;AAAA,cACL,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,YACnC,EAAE,KAAK,OAAK,CAAC;AAAA,qBACJ;AAAA,YACT,EAAE,KAAK,OAAK,CAAC;AAAA;AAAA,OAEnB,IAAE,KAAK,SAAO,IAAE,KAAG;AAAA,UACf,EAAE,KAAK,OAAK,CAAC;AAAA,cACT,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,YACnC,EAAE,KAAK,OAAK,CAAC;AAAA,qBACJ;AAAA,gBACL,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,cACnC,EAAE,KAAK,OAAK,CAAC;AAAA,uBACJ;AAAA;AAAA;AAAA,OAGjB,IAAE,KAAK,QAAM,IAAE;AAAA,cACPA,OAAK,EAAE,IAAI,CAAC,GAAE,MAAI,SAAS,IAAI,EAAE,KAAK,QAAM,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,EAAE,CAAC,OAAO,EAAE,CAAC,aAAa,KAAK,EAAE,KAAK;AAAA,CAC/G;AAAE,SAAK,WAAS;AAAA;AAAA,UAEPA;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,eAAeA,KAAE,EAAE,KAAK,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,OAAO,GAAE,CAAC,GAAE,EAAE,WAAS,GAAE,EAAE,QAAMA,KAAE,EAAE,QAAM,EAAE;AAAM,MAAI,IAAE,GAAG,kBAAkB,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC;AAAE,IAAE,UAAQ,KAAG,EAAE,MAAM,aAAY,EAAE,QAAM,EAAC,YAAW,GAAE,YAAW,EAAE,SAAO,EAAE,MAAM,cAAY,EAAE,OAAM;AAAE,MAAI,IAAE,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,KAAG;AAAE,SAAO,EAAE,aAAa,IAAI,EAAE,MAAM,YAAW,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,MAAG,GAAG,kBAAkB,GAAE,GAAE,CAAC,GAAE,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,QAAO,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAC,UAAS,EAAC,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,iBAAiB,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,sEAAsE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAtpB,IAAwpB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,WAAW,KAAK,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG,GAAG,EAAC,WAAU,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAwB,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAE,IAAE,EAAE,gBAAgBA,KAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,QAAO,EAAE,uBAAuB,QAAO,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiC,EAAE,YAAY,GAAG;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAyB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWnkI;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWnN;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE;AAAE,IAAE,EAAE,QAAQ,iBAAiB,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK;AAAE,MAAI,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAatX;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,GAAG,GAAE,EAAE,mBAAmB,IAAI,GAAE,GAAG,GAAE,EAAE,mBAAmB,IAAI,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,GAAE,EAAE,CAAC,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,EAAE,gBAAgB,GAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAIA,MAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,MAAAA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,QAAI,IAAE,CAAC,YAAYA,IAAE,CAAC,8BAA8B;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAI;AAAC,UAAI,IAAEA,IAAE,IAAE,CAAC;AAAE,QAAE,KAAK,iBAAiBA,IAAE,CAAC,oBAAoB,YAAY,MAAM;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,QAAO,IAAEA,IAAEA,IAAE,SAAO,CAAC;AAAE,MAAE,KAAK,sBAAsB,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAM/xB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA;AAAA,EAEJ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,EAAE,gBAAgB,GAAEA,GAAC;AAAE,QAAI,IAAE,KAAK,aAAY,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC;AAAE,SAAK,gBAAc,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC,EAAEA,GAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAEA,GAAC;AAAE,QAAI,IAAE,EAAEA,GAAC,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE,KAAK,GAAE,IAAE,OAAO,OAAO,EAAE,CAAC;AAAA;AAAA,oBAElZ,YAAY,EAAE,KAAK;AAAA;AAC5B,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,WAAG;AAAA,cACzC,OAAO,EAAE,CAAC,SAAS,QAAQ,EAAE,IAAE,CAAC;AAAA;AAAA,kBAE5B,KAAK,GAAG,GAAE,GAAE,CAAC;AAAA,mBACZ,GAAG,GAAE,GAAE,CAAC;AAAA;AAAA,IACjB;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,SAAG;AAAA;AAAA,gBAE7B,KAAK,GAAG,GAAE,GAAE,CAAC;AAAA,iBACZ,GAAG,GAAE,GAAE,CAAC,QAAO,KAAK,WAAS;AAAA,uBACvB,EAAE,IAAI,OAAG,SAAO,CAAC;AAAA,UAC9B;AAAA;AAAA;AAAA;AAAA,UAIA;AAAA,sCAC4B;AAAA;AAAA,UAE5B,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA,UAGtB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA,UAGtB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACjB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA;AAAA;AAAA,EAI3B;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAQ,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,MAAI,IAAE,GAAG,OAAOA,QAAI,CAAC,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,EAAE;AAAM,MAAG,MAAI,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,mBAAmB,CAAC;AAAE,MAAG,MAAI,aAAW,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,KAAG,EAAE,CAAC,EAAE,MAAM,SAAO;AAAE,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE;AAAE,WAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,EAAE,UAAU,8BAA8B;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC;AAAE,QAAE,KAAK,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,8BAA8B,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,EAAC,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,EAAE,IAAI,OAAG,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,SAAM,EAAC,WAAU,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,WAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAI,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,KAAK,MAAM,EAAE,aAAW,CAAC,IAAE,GAAE,IAAE,EAAE,aAAW,GAAE,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAElwF;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA;AAAA,cAEC;AAAA;AAAA,WAEJ,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACpO;AAAA;AAAA,oCAE4B,MAAM;AAAA,iCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA;AAAA,2BAGC,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOT;AAAA,qCACK;AAAA;AAAA,gCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA,kCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBF,MAAI;AAAA;AAAA,oBAEF;AAAA;AAAA,0CAEsB;AAAA,mCACP;AAAA;AAAA;AAAA,kCAGD;AAAA,mCACC;AAAA;AAAA;AAAA,yBAGV,MAAI;AAAA;AAAA,+BAEE;AAAA,+BACA;AAAA;AAAA;AAAA,oBAGX;AAAA;AAAA,wCAEoB;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKR;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKP,MAAI;AAAA;AAAA,+BAEE;AAAA,+BACA;AAAA,+BACA;AAAA;AAAA;AAAA,oBAGX;AAAA;AAAA,wCAEoB;AAAA,wCACA;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKR;AAAA,gCACA;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAtIu5E,IAsIr5E,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAIA,MAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,KAAK,MAAM,EAAE,aAAW,CAAC,IAAE,GAAE,IAAE,EAAE,aAAW;AAAE,SAAK,WAAS;AAAA,oCACnU,MAAM,MAAM;AAAA,iCACfA,QAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK;AAAA;AAAA,gCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA,kCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,yCACK;AAAA;AAAA,oCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlB,MAAI;AAAA;AAAA,4CAEoB;AAAA,qCACP;AAAA,2BACV,MAAI;AAAA;AAAA,4CAEa;AAAA,4CACA;AAAA;AAAA;AAAA,qCAGP;AAAA,qCACA;AAAA;AAAA;AAAA,2BAGV,MAAI;AAAA;AAAA,4CAEa;AAAA,4CACA;AAAA,4CACA;AAAA;AAAA;AAAA,qCAGP;AAAA,qCACA;AAAA,qCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAShC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,GAAE,IAAE;AAAA;AAAA;AAE5Y,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,yBAC9C,IAAE;AAAA,wBACH,IAAE;AAAA,yBACD,IAAE,IAAE;AAAA,wBACL,IAAE,IAAE;AAAA,oBACR;AAAK,SAAG;AAAA,2BACD;AAAA,8BACG,EAAE;AAAA;AACvB,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,oBACZ,IAAE;AAAA,oBACF,IAAE;AAAA,oBACF,IAAE,IAAE;AAAA,oBACJ,IAAE,IAAE;AAAA,eACT;AAAiB,SAAG;AAAA;AAAA;AAAA;AAG1B,aAAQ,IAAE,GAAE,KAAG,IAAE,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,UAAG,KAAG;AAAA,6BACvB,IAAE;AAAA,cAClB,MAAI,GAAE;AAAC,YAAG,IAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,uEAE8B;AAAA,4BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKE;AAAA;AAAA,4BAEF;AAAA;AAAA,kBAEX,MAAI,KAAG,IAAE,IAAE,KAAG;AAAA,qBACV,mBAAmB,IAAE,gBAAgB;AAAA,qBACvC,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYG,gCAAgC;AAAA;AAAA,yBAEhC,6BAA6B;AAAA;AAAA,wBAEhC,KAAG;AAAA,2DACkC;AAAA,4BAC/B;AAAA;AAAA,8BAEE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA,qBAGP,cAAc;AAAA,oBAChB,IAAE,IAAE,IAAG;AAAC,cAAI,IAAE,IAAE,MAAI,IAAE,EAAE,kBAAkB,CAAC,IAAE;AAAE,cAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,KAAG;AAAA,wDACjD;AAAA;AAAA,yEAEiB,IAAE;AAAA,8BAC7C,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKA,IAAE;AAAA;AAAA,8BAEJ,IAAE;AAAA;AAAA,sBAEX,IAAE,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,0BAIF,IAAE,gCAAgC,IAAE;AAAA;AAAA,0BAEpC,IAAE,6BAA6B,IAAE;AAAA;AAAA,yBAEpC,KAAG;AAAA,yBACD,IAAE,mBAAmB,gBAAgB,IAAE;AAAA,0BACxC,MAAI,IAAE,KAAG;AAAA,yBACR,IAAE,cAAc;AAAA,yBAClB,KAAG;AAAA,uCACa;AAAA;AAAA,2EAEoC,IAAE;AAAA,gCAC7C,IAAE;AAAA;AAAA,kCAEA,IAAE;AAAA;AAAA,gCAEJ,IAAE;AAAA;AAAA;AAAA,yBAGT,IAAE,cAAc,IAAE;AAAA;AAAA,QACrB;AAAA,MAAC;AAAM,YAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,sEAEuB;AAAA,4BAC1C;AAAA;AAAA;AAAA;AAAA,8BAIE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA,kEAGsC,IAAE;AAAA,4BACxC,IAAE;AAAA;AAAA;AAAA;AAAA,8BAIA,IAAE;AAAA;AAAA,4BAEJ,IAAE;AAAA;AAAA;AAAA,qBAGT,mBAAmB,gBAAgB,IAAE;AAAA,kBACzC,IAAE,IAAE,MAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAML,IAAE,mBAAmB,IAAE;AAAA,wBACxB,KAAG;AAAA,0DACiC;AAAA,4BAC9B;AAAA;AAAA,8BAEE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA;AAAA,sEAI0C,IAAE;AAAA,4BAC5C,IAAE;AAAA;AAAA,8BAEA,IAAE;AAAA;AAAA,4BAEJ,IAAE;AAAA;AAAA;AAAA,qBAGT;AAAA,4BACO,gBAAgB,IAAE;AAAA,kBAC7B,IAAE,IAAE,MAAI,KAAG;AAAA,uBACL,IAAE,mBAAmB,gBAAgB,IAAE;AAAA;AACxC,UAAE,MAAI,KAAG;AAAA,gCACC;AAAA,4BACJ;AAAA,2BACD,EAAE;AAAA,8BACC;AAAA;AAAA,cAEjB,IAAE,IAAE,MAAI,KAAG;AAAA,kCACU,IAAE;AAAA,8BACN,IAAE;AAAA,6BACH,EAAE;AAAA,gCACC,IAAE;AAAA;AAAA;AAAA,IAElB;AAAC,SAAG;AAAA;AAAA,MAEf,KAAG;AAAA;AAAA,MAEH,KAAG;AAAA;AAAA;AAEH,QAAI,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,aAEd;AAAA,cACD,IAAE,IAAE;AAAA;AAAA,aAEH;AAAA,cACD,IAAE;AAAA,aACD;AAAA,aACD,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,SACrO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaE;AAAA;AAAA;AAAA,WAGA;AAAA,WACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,cAAa,MAAK,QAAO,GAAE,EAAC,MAAK,OAAM,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,MAAK,cAAa,MAAK,MAAK,GAAE,EAAC,MAAK,oBAAmB,MAAK,MAAK,GAAE,EAAC,MAAK,YAAW,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAG,EAAC,YAAW,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,sBAAoB,wDAAsD,mBAAmB,EAAE,CAAC,cAAc,EAAE,CAAC,QAAO,IAAE;AAAG,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,aAAG;AAAA,gCACjnB;AAAA,yBACP;AAAA;AAAA,YAEb;AAAA;AAAA;AAAA;AAAA,iCAIqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQE;AAAA;AAAA;AAAA;AAAA,sBAIb;AAAA;AAAA,2BAEK,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJ,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAOrB,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEA,EAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAOA,OAAG,IAAE,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,KAAGA,QAAI,KAAG,EAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,CAAC,IAAE;AAAI;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,YAAW,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,aAAY,IAAEA,IAAE,eAAa,gBAAe,IAAE,OAAG,IAAE,OAAG,GAAE,IAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,GAAG,MAAI,KAAG,MAAI,MAAI,IAAE,OAAK,EAAE,YAAU,KAAG,EAAE,WAAS,QAAM,EAAE,CAAC,IAAE,MAAI,KAAG,EAAE,YAAY,EAAE,MAAM,MAAM,EAAE,GAAE,EAAE,MAAM,EAAE,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,IAAG,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,CAAC,GAAE,GAAEA,IAAE,UAAU,GAAE,OAAM,EAAE,MAAK,GAAE,IAAE,EAAE;AAAM,MAAE,QAAM,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,KAAI,EAAE,OAAO,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,MAAI,kBAAkB,EAAE,YAAY,EAAE,kBAAkB;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,SAAQ,GAAE,YAAW,GAAE,YAAW,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,OAAO,EAAE,UAAS,MAAI,6CAA6C,GAAE,EAAE,QAAM,GAAE,EAAE,QAAMA,IAAE,UAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,QAAMA,IAAE,UAAS,EAAE,KAAK,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAEA,IAAE,YAAUA,IAAE,UAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,IAAE,CAACA,IAAE,WAAU,GAAEA,IAAE,UAAU,IAAE,CAACA,IAAE,WAAUA,IAAE,YAAW,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,CAAC,GAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAG,EAAC,aAAY,GAAE,cAAa,GAAE,YAAW,GAAE,UAAS,GAAE,WAAU,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,OAAG,IAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,GAAC,GAAE,IAAE,CAAC,EAAE,OAAM,CAACA,IAAE,QAAQ,KAAIA,IAAE,QAAQ,IAAI,GAAE,CAACA,IAAE,cAAaA,IAAE,WAAW,GAAE,CAACA,IAAE,gBAAeA,IAAE,aAAa,GAAE,CAACA,IAAE,UAAU,GAAE,CAACA,IAAE,cAAYA,IAAE,UAAU,GAAE,CAACA,IAAE,QAAQ,CAAC,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,IAAE,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,IAAI,GAAG,IAAE,EAAE,QAAM,EAAE,OAAM,IAAE,EAAE,QAAM,EAAE,OAAM,IAAE,CAACA,IAAE,WAAU,GAAEA,IAAE,WAAW,IAAE,CAACA,IAAE,WAAUA,IAAE,aAAY,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC;AAAE,MAAG,KAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE;AAAE,MAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,MAAI,EAAE,QAAQ,SAAO,UAAQ,EAAE,QAAQ,SAAO;AAAS,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,IAAC,CAAC;AAAA,WAAU,EAAE,eAAa,KAAG,MAAI,kBAAgB,EAAE,EAAE,QAAQ,gBAAgB,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAA,EAAC,WAAS,EAAE,EAAE,QAAQ,mBAAmB;AAAE,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,eAAa;AAAe,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYvxI,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oBAIlB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAef;AAAC;AA1CkmI,IA0ChmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAa,gBAAe,IAAEA,MAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCAC7O,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtBA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAES,EAAE;AAAA;AAAA,oBAElB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAef;AAAC;AA/FkmI,IA+FhmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrL,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA,EAAE;AAAA,qCACH,OAAO;AAAA;AAAA,sCAEN,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAanC;AAAC;AAzIkmI,IAyIhmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAEA,MAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ;AAAK,SAAK,WAAS;AAAA,iCAC3O,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcbA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAES;AAAA,oDACgB;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMb;AAAA;AAAA,sCAES,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUnC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEx3C,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFo2C,IAEl2C,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAG3E,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAHuD,IAGrD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,QAAQ,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,CAAC,CAAC,IAAEA,KAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,QAAI,IAAE,MAAI,aAAW,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAG,IAAE,OAAM,GAAG,IAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,IAAE,CAAC,IAAI,IAAE,MAAI,IAAE,MAAK,0BAAyB,MAAM,6BAA6B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,IAAE,CAAC,IAAI,IAAE,MAAI,IAAE,MAAK,yBAAwB,MAAM,4BAA4B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG;AAAE,SAAK,WAAS;AAAA,yCACvgB;AAAA,wCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP;AAAA;AAAA;AAAA;AAAA,+BAIF;AAAA,8BACD;AAAA;AAAA,uBAEP;AAAA,mCACY;AAAA,4BACP;AAAA;AAAA;AAAA,uBAGL;AAAA,mCACY;AAAA,4BACP;AAAA;AAAA;AAAA;AAAA;AAAA,aAKf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwBR;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,SAAS;AAAC;AAApM,IAAsM,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,OAAK,KAAI,EAAE,MAAI;AAAG,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,KAAG,GAAE,KAAK,cAAYA,KAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,KAAK,YAAY,QAAO,IAAE,KAAK,OAAK,GAAG,OAAK,QAAM,OAAM,IAAE,IAAE,IAAE,QAAQ,GAAG,GAAE,UAAS,KAAK,EAAE,MAAK,IAAE,KAAK,YAAY,KAAK,YAAY,SAAO,CAAC,GAAE,IAAE,IAAG,IAAE;AAAG,SAAG,IAAE,IAAE,UAAU,IAAE,MAAI,YAAW,IAAE,IAAE,YAAU,cAAY,IAAE,IAAE,gBAAgB,MAAI,eAAc,IAAE,IAAE,eAAa,eAAc,KAAK,WAAS;AAAA;AAAA,UAExuB,GAAG,CAAC;AAAA,oBACM,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,sBACnB;AAAA;AAAA,cAER;AAAA,sBACQ;AAAA,YACV,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAY,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,EAIjD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ,QAAQ;AAAM,QAAM,IAAI,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,QAAM,IAAI,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,KAAG,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,OAAG,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,MAAK,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,KAAI,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC,WAAS,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,YAAUA,KAAE,KAAK,aAAW,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,gBAIjqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA;AAAA,EAGhD;AAAA,EAAC,uBAAsB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,YAAY,CAAC,IAAE,KAAK,YAAY,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,eAAa,SAAO,8BAA4B;AAAA,EAA2B;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAEvqC;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA;AAAA,cAEC;AAAA;AAAA,WAEJ,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgB;AAAA,4BACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,GAAE,IAAE;AAAA;AAAA;AAE1a,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,wBAC9C,IAAE;AAAA,uBACH,IAAE;AAAA,wBACD,IAAE,IAAE;AAAA,uBACL,IAAE,IAAE;AAAA,mBACR;AAAK,SAAG;AAAA,0BACD;AAAA;AAClB,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,mBACZ,IAAE;AAAA,mBACF,IAAE;AAAA,mBACF,IAAE,IAAE;AAAA,mBACJ,IAAE,IAAE;AAAA,cACT;AAAiB,SAAG;AAAA;AAAA;AAAA;AAG1B,aAAQ,IAAE,GAAE,KAAG,IAAE,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,UAAG,KAAG;AAAA,4BACvB,IAAE;AAAA,aAClB,MAAI,GAAE;AAAC,YAAG,IAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,sEAE8B;AAAA,2BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKE;AAAA;AAAA,2BAEF;AAAA;AAAA,iBAEX,MAAI,KAAG,IAAE,IAAE,KAAG;AAAA,oBACV,mBAAmB,IAAE,gBAAgB;AAAA,oBACvC,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYG,gCAAgC;AAAA;AAAA,wBAEhC,6BAA6B;AAAA;AAAA,uBAEhC,KAAG;AAAA,0DACkC;AAAA,2BAC/B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,oBAGP,cAAc;AAAA,mBAChB,IAAE,IAAE,IAAG;AAAC,cAAI,IAAE,IAAE,MAAI,IAAE,EAAE,kBAAkB,CAAC,IAAE;AAAE,cAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,KAAG;AAAA,uDACjD;AAAA;AAAA,wEAEiB,IAAE;AAAA,6BAC7C,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKA,IAAE;AAAA;AAAA,6BAEJ,IAAE;AAAA;AAAA,qBAEX,IAAE,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,yBAIF,IAAE,gCAAgC,IAAE;AAAA;AAAA,yBAEpC,IAAE,6BAA6B,IAAE;AAAA;AAAA,wBAEpC,KAAG;AAAA,wBACD,IAAE,mBAAmB,gBAAgB,IAAE;AAAA,yBACxC,MAAI,IAAE,KAAG;AAAA,wBACR,IAAE,cAAc;AAAA,wBAClB,KAAG;AAAA,sCACa;AAAA;AAAA,0EAEoC,IAAE;AAAA,+BAC7C,IAAE;AAAA;AAAA,iCAEA,IAAE;AAAA;AAAA,+BAEJ,IAAE;AAAA;AAAA;AAAA,wBAGT,IAAE,cAAc,IAAE;AAAA;AAAA,QACrB;AAAA,MAAC;AAAM,YAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,qEAEuB;AAAA,2BAC1C;AAAA;AAAA;AAAA;AAAA,6BAIE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,iEAGsC,IAAE;AAAA,2BACxC,IAAE;AAAA;AAAA;AAAA;AAAA,6BAIA,IAAE;AAAA;AAAA,2BAEJ,IAAE;AAAA;AAAA;AAAA,oBAGT,mBAAmB,gBAAgB,IAAE;AAAA,iBACzC,IAAE,IAAE,MAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAML,IAAE,mBAAmB,IAAE;AAAA,uBACxB,KAAG;AAAA,yDACiC;AAAA,2BAC9B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA;AAAA,qEAI0C,IAAE;AAAA,2BAC5C,IAAE;AAAA;AAAA,6BAEA,IAAE;AAAA;AAAA,2BAEJ,IAAE;AAAA;AAAA;AAAA,oBAGT;AAAA,2BACO,gBAAgB,IAAE;AAAA,iBAC7B,IAAE,IAAE,MAAI,KAAG;AAAA,sBACL,IAAE,mBAAmB,gBAAgB,IAAE;AAAA;AACxC,UAAE,MAAI,KAAG;AAAA,+BACC;AAAA,2BACJ;AAAA,aACf,IAAE,IAAE,MAAI,KAAG;AAAA,iCACU,IAAE;AAAA,6BACN,IAAE;AAAA;AAAA,IAChB;AAAC,SAAG;AAAA;AAAA,KAEf,KAAG;AAAA;AAAA;AAED,QAAI,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAEhB;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA,YACD;AAAA,YACD,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACrO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgB;AAAA,4BACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlB;AAAA;AAAA;AAAA,UAGA;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE;AAAE,IAAE,EAAE,QAAQ,0BAA0B,KAAG,EAAE,eAAa,KAAG,EAAE,cAAY,EAAE,eAAa,IAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAI,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAY,EAAE;AAAW,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOn3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKM,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYjC;AAAC;AAnC2rB,IAmCzrB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAEA,MAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAY,EAAE;AAAW,SAAK,WAAS;AAAA,iCAClN,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYPA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGS;AAAA,8BACN;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASzB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMvpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAG,EAAC,UAASA,KAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,MAAK,EAAC,IAAE;AAAE,SAAK,WAAS;AAAA,oCACtlB,MAAM;AAAA,iCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaT;AAAA,iCACG;AAAA;AAAA,kCAECA;AAAA,kCACA;AAAA,qCACG;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAgBjC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAApD,IAShwC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AATytC,IASvtC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAgD,KAAG;AAAA;AAAA;AAAA;AAAnD,IAG9F,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAC;AAH7F,IAG+F,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAP,IAElP,KAAG;AAF+O,IAEvN,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,eAAc,GAAE,CAAC;AAFkJ,IAEhJ,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA,cAIlJ,EAAE;AAAA,eACD,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AATwI,IAevJ,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAfmI,IAejI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAFwE,IAW3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,UAAS,CAAC;AAXG,IAWD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAtF,IAAwF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM;AAAE,QAAI,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAYA;AAAE,QAAI,IAAE,IAAE,SAAS,KAAK,OAAK,UAAU,KAAK,MAAK,IAAE,IAAE,GAAG,QAAM,OAAM;AAAE,QAAG,MAAI;AAAO,UAAE;AAAA,aAA4C,MAAI;AAAO,UAAE;AAAA;AAAyC,YAAM,IAAI,MAAM,sDAAsD,IAAI;AAAE,SAAK,WAAS;AAAA,yCACz5B;AAAA;AAAA;AAAA,UAG/B;AAAA;AAAA;AAAA;AAAA,kDAIwC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUpD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,QAAO,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,QAAO,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,EAAAA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,OAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKv+B;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAEA;AAAE,MAAG,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,MAAI,UAAS;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC;AAAE,WAAO,EAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,cAAY,CAAC;AAAE,QAAIA,MAAE,EAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aA;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOlC;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,OAAMA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,KAAK;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,KAAG;AAAP,IAA0B,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAlF,IAAoF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAU5S,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAVyS,IA+B5S,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,CAAC;AA/BuP,IA+BrP,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMhK,QAAQ;AAAA;AAAA,wBAEvCA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa;AAAG,QAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7H,QAAQ;AAAA,4BACVA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAvD,IAAyD;AAAzD,IAA4D,KAAG,EAAE,EAAE,QAAQ,uCAAuC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,uCAAuC;AAAE,KAAC,MAAI,QAAM,MAAI,QAAM,KAAG,GAAE,KAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,GAAE,CAAC,IAAG,GAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG;AAAA,EAAM;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,OAAO;AAAE,EAAAA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAM,GAAG,QAAOA,IAAE,MAAM,yBAAyBA,IAAE,WAAW,EAAE,MAAM,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,QAAQ,YAAY,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,MAAI;AAAC,QAAI,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,MAAI;AAAC,UAAG,MAAI,UAAQ,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,YAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,eAAO,EAAE,KAAK,CAAC,GAAE;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC;AAAE,QAAG,KAAG,EAAE,KAAK,EAAE,GAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,GAAE,CAAC,CAAC,GAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAE,MAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,MAAI,EAAE,QAAQ,SAAO,UAAQ,EAAE,QAAQ,SAAO;AAAS,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAA,WAAU,EAAE,eAAa,KAAG,MAAI,kBAAgB,EAAE,EAAE,QAAQ,gBAAgB,GAAE;AAAC,QAAI,IAAE,IAAE,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC,GAAE,IAAE,EAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,WAAU,CAAC;AAAA,EAAC,WAAS,EAAE,EAAE,QAAQ,mBAAmB;AAAE,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAE,GAAG,GAAE,KAAE,IAAE,MAAK,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,0BAA0B,KAAG,EAAE,eAAa,KAAG,EAAE,cAAY,EAAE,eAAa,GAAE,IAAE,IAAE,GAAG,GAAE,CAAC,IAAE,MAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI;AAAY,MAAG,KAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,MAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,WAAU,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,cAAY,GAAE,KAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAA;AACnnH,aAAQ,IAAE,GAAE,IAAE,KAAK,UAAS;AAAI,WAAG;AAAA,gDACH;AAAA;AAAA,sDAEM,KAAK,YAAY,CAAC;AAAA,oCACpC,KAAK,QAAQ,CAAC;AAAK,SAAK,WAAS;AAAA;AAAA,YAEzD;AAAA;AAAA;AAAA;AAAA,YAIA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,cAAYA,KAAE,KAAK,OAAKA,IAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE33B;AAAA;AAAA,oDAE0C,EAAE,CAAC;AAAA,oCACnB;AAAA;AAAA;AAAA,EAE/B;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAI,IAAE,EAAE,KAAK,OAAO,IAAE,EAAE,KAAK,GAAGA,IAAE,CAAC,GAAG;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC;AAAE,MAAG,EAAE,EAAE,IAAI,OAAO,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,IAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,YAAW,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG;AAAA;AAAA;AAAjC,IAEtuC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFiqC,IAE/pC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG;AAAA;AAAA;AAAlC,IAE5H,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,eAAc,GAAE,CAAC;AAFuD,IAErD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,MAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+C,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAhF,IAAkF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiC,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiC,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG;AAAA;AAAA;AAAjC,IAErnB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFgjB,IAE9iB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG;AAAA;AAAA;AAAlC,IAE5H,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFuD,IAErD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAElT,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAF+S,IAUlT,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAV0P,IAUxP,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE/G,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAF2F,IAEzF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAhD,IAI3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,OAAM,CAAC;AAJuB,IAIrB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAoC,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAAxD,IAA0D,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAhD,IAK1N,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,OAAM,CAAC;AALsK,IAKpK,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAI,IAAEA,KAAE,IAAE,EAAE,CAAC,IAAE;AAAE,SAAK,cAAY;AAAE,QAAI,GAAE,IAAE,SAAS,cAAc;AAAW,UAAI,MAAG,IAAE,eAAe,OAAK,MAAI,IAAE,IAAE,QAAQ,OAAK,IAAE,WAAW,eAAe,QAAO,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBASvV,WAAW;AAAA;AAAA,oCAEC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKV;AAAA;AAAA;AAAA;AAAA,EAGrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAEA,KAAE,IAAE,EAAE,CAAC,IAAE;AAAE,SAAK,cAAY;AAAE,QAAI,GAAE,IAAE,SAAS,cAAc;AAAW,UAAI,MAAG,IAAE,eAAe,OAAK,MAAI,IAAE,IAAE,QAAQ,OAAK,IAAE,WAAW,eAAe,QAAO,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY,CAAC;AAAA,gCAClB,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAejB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWR,WAAW;AAAA;AAAA;AAAA,6DAGyB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnB;AAAA;AAAA;AAAA;AAAA,EAGrC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,0BAA0B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAA9N,IAAgO,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,cAAa,eAAc,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,QAAM,EAAE,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,OAAK,GAAE,KAAK,QAAM,GAAE,KAAK,OAAK,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQrd,KAAK;AAAA,oDACiBA;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelB,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOL;AAAA,0BACf;AAAA;AAAA;AAAA;AAAA,0CAIgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK;AAAC;AAA3K,IAA6K,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAEA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAG,GAAE;AAAC,UAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,UAAI,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,UAAEA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,UAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAE,SAAO;AAAA,IAAC;AAAM,UAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,QAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAA,EAAC;AAAC,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI;AAAE,MAAG,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,cAAc,CAAC,GAAE,GAAE,EAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,SAAO;AAAA,EAAC;AAAM,QAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAE,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE92C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPy2C,IAS92C,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AATszC,IASpzC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCACzqC,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcP;AAAA,kBACd;AAAA,gDAC8BA;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQhC;AAAC;AA9Cg8B,IA8C97B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCAC5U,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBb;AAAA,mBACb;AAAA,gDAC6BA;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZ;AAAA,kDAC4B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ;AAAA,wBACZ;AAAA,oDAC4B;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAO;AAAA,yBACP;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,IAAE,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,IAAI,GAAG,GAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,IAAI,GAAGA,KAAE,OAAM,KAAE,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAE,MAAE,IAAI,GAAGA,KAAE,OAAM,MAAG,MAAG,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,qBAAoB,EAAC,IAAE,GAAE,IAAEA;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,GAAE,MAAI,uDAAuD,EAAE,MAAM,SAAS;AAAE,MAAI,IAAE,CAAC,GAAE,CAAC;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,WAAU,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAG,GAAE;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,UAAI,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,UAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAE,SAAO;AAAA,IAAC;AAAM,UAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAA,EAAC;AAAC,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE9pG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPypG,IAS9pG,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AATsmG,IASpmG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE;AAAE,QAAG,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA,sBACnY;AAAA,oBACF;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA;AAIpC;AAAA,IAAM;AAAC,SAAK,WAAS;AAAA,QACrB,aAAa,KAAK;AAAA,QAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGd;AAAA,8BACoB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3C;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,MAAI,IAAE,WAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,MAAI,YAAU,IAAE,GAAE,IAAE;AAAG,QAAG,MAAI,GAAE;AAAC,UAAI,IAAE;AAAA,UACpY;AAAA;AAAA,0CAEgC;AAAA;AAAA,8CAEI;AAAA;AAAA;AAAA;AAGtC,UAAE;AAAA,UACA;AAAA,UACA;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1C,EAAE,IAAE,CAAC;AAAA,aACF;AAAA,YACD;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,IAE/C,OAAK;AAAC,UAAI,IAAE;AAAA,UACT;AAAA,UACA,UAAU;AAAA,UACV,WAAW;AAAA,UACX;AAAA;AAAA,6CAEmC;AAAA,kDACK;AAAA;AAAA;AAE1C,UAAE;AAAA,UACA;AAAA,UACA;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1C,EAAE,IAAE,CAAC;AAAA,aACF;AAAA,YACD;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5C,EAAE,IAAE,CAAC;AAAA,aACF,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC;AAAA,YACjC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1C,EAAE,IAAE,CAAC;AAAA,eACF;AAAA,cACD;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA;AAAA,IAGjD;AAAC,SAAK,WAAS;AAAA,cACR,aAAa,KAAK;AAAA,cAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGpB;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAArM,IAAuM,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAP,IAC/O,KAAG;AAAA;AAAA;AAAA,MAGpB,KAAG;AAAA;AAAA;AAJ6P,IAMlQ,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAN2N,IAMzN,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQrNA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,MAAE;AAAA;AAAA;AAAA,EAEvB;AAAC;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAP,IAIO,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAJV,IAsBN,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,kBAAiB,KAAE,CAAC;AAtBrD,IAsBuD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAuB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,iBAAgB,MAAG,eAAc,GAAE,CAAC;AAAlG,IAAoG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAE,MAAM,SAAO,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEr1C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAUH,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,QAAO,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAS,GAAE,KAAK,cAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,8BAIl+D,aAAa;AAAA;AAAA;AAAA;AAAA,EAGtC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,EAAAA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAjX,IAAmX,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAE,UAAQ,WAAS,KAAG,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC;AAAE,QAAG,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA,sBACx8E;AAAA,oBACF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAUZ;AAAA,IAAM;AAAC,SAAK,WAAS;AAAA,QACrB,aAAa,KAAK;AAAA,QAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGd;AAAA;AAAA;AAAA;AAAA,YAIE;AAAA,2BACe;AAAA;AAAA;AAAA;AAAA,EAGtB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,MAAI,IAAE,WAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,CAAC,GAAG,qBAAoB,GAAG,EAAE,IAAE,CAAC;AAAA,YAC7a;AAAA,SACJ,MAAI,IAAE,KAAG;AAAA;AAAA,SAER,EAAE,IAAE,CAAC;AAAA,YACF,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,QAAO,MAAI,IAAE,KAAG,KAAK,EAAE,IAAE,CAAC;AAAA,cACxD,MAAM,GAAE,IAAE,MAAI,IAAE,4BAA0B,8DAA6D,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,MAAI,IAAE,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,UACnJ,EAAE,CAAC;AAAA,cACC;AAAA,mBACK;AAAA;AAAA,YAEP;AAAA,mBACO,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA;AAEjD,SAAG,MAAI,IAAE,OAAK,MAAK,KAAK,WAAS;AAAA,cAC3B,aAAa,KAAK;AAAA,cAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGpB;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAArW,IAAuW,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IASla,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAgBD,KAAG;AAAA;AAAA;AAzB6Z,IA2Bla,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AA3B2X,IA2BzX,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,2BAA2B,QAAO,GAAE,CAAC;AAAE,MAAI;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,QAAOA,GAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,kBAAiB,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,OAAO,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,IAAE,GAAE,EAAC,mBAAkB,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAA3H,IAA6H,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAyB,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAA7C,IAA+C,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEv5E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAFo5E,IAYv5E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAZg3E,IAY92E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE9F,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAF2F,IAY9F,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAZuD,IAYrD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE;AAAE,QAAE,IAAE,0EAAwE,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE3Z,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoB9B;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE;AAAE,QAAE,IAAE,0EAAwE,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE7W,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA,uCACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,IAAE;AAAA,uCACK,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAgDpC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAYA;AAAE,QAAG,CAAC,EAAC,GAAE,CAAC,IAAEA,KAAE,CAAC,EAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hB;AAAA,yCACD;AAAA;AAAA,6CAEI;AAAA,4CACD;AAAA;AAAA,oCAER;AAAA,mCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMH,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA8BlD;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,QAAM,OAAM;AAAE,QAAE,IAAE,8EAA4E,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE1iB,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZ;AAAA;AAAA;AAAA;AAAA,8DAI2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzD;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,QAAM,OAAM;AAAE,QAAE,IAAE,8EAA4E,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAEjY,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA,uCACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJ;AAAA;AAAA;AAAA;AAAA,8DAI2B;AAAA;AAAA;AAAA,gCAG9B,IAAE;AAAA,uCACK,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAapC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAYA;AAAE,QAAG,CAAC,EAAC,GAAE,CAAC,IAAEA,KAAE,CAAC,EAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAUzhB;AAAA,yCACD;AAAA;AAAA,6CAEI;AAAA,4CACD;AAAA;AAAA,oCAER;AAAA,mCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQE;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKd,EAAE,CAAC;AAAA,sCACa,EAAE,CAAC;AAAA;AAAA;AAAA,wBAGjB,EAAE,CAAC;AAAA,wCACa,EAAE,CAAC;AAAA;AAAA;AAAA,4BAGf;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIU;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYb;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,EAAE;AAAO,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,kCAAkC,+BAA+B;AAAE,QAAG,KAAK,cAAY,GAAE,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA;AAAA;AAAA,2BAG3Y,EAAE,CAAC;AAAA;AAAA;AAEtB;AAAA,IAAM;AAAC,QAAI,IAAE,OAAGA,IAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAE,CAAC,cAAc,WAAS,UAAU,MAAK,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE3I;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAE,EAAE;AAAO,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,kCAAkC,+BAA+B;AAAE,SAAK,cAAY;AAAE,QAAI,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,WAAW,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,GAAG,EAAE,IAAE,CAAC,WAAW,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,GAAG,CAAC;AAAE,UAAI,IAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,uCAIrU,EAAE,CAAC;AAAA,cAC5B,EAAE,CAAC;AAAA,eACF;AAAA,2CAC4B,EAAE,CAAC;AAAA,kBAC5B,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,UAIb,KAAK,WAAS;AAAA;AAAA,YAEV;AAAA;AAAA,uBAEW,EAAE,EAAE,MAAM,CAAC;AAAA,eACnB;AAAA,yBACU,EAAE,EAAE,MAAM,CAAC;AAAA;AAAA,eAErB;AAAA,yBACU,EAAE,EAAE,MAAM,CAAC;AAAA,iBACnB;AAAA,2BACU,EAAE,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAKhC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,KAAK,GAAG,GAAE,IAAE,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG;AAAE,aAAM,mBAAmB,YAAY;AAAA,IAAK;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAOA,IAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAE,CAAC,OAAO,EAAE,CAAC,UAAQ,GAAG,EAAE,CAAC;AAAA,IAAG;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,OAAM,CAAC;AAAE,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,SAAK,cAAY;AAAE,QAAI,IAAE;AAAG,WAAOA,OAAG,WAAS,IAAE,uBAAuBA,IAAE,QAAQ,CAAC,OAAK,IAAE;AAAA,2BACh9BA,IAAE,KAAK,GAAG;AAAA,+CACS,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD;AAAA,uCAC2B,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlE;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,GAAE,KAAK,IAAI,CAAC,GAAE,KAAK,IAAI,CAAC,CAAC,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAepS,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAfgR,IAe9Q,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAgC,KAAG,GAAG,EAAC,WAAU,IAAG,eAAc,GAAE,CAAC;AAArE,IAAuE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,IAAE,MAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,WAAU,cAAc,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAQ,QAAI,IAAE,cAAc,MAAK,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAgB,QAAI,IAAE,cAAc,MAAK,IAAEA,MAAE,IAAE,eAAa;AAAU,SAAK,WAAS;AAAA,UAClgB,eAAe,KAAK;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoB;AAAA;AAAA,kCAEEA;AAAA,kCACA;AAAA,0CACQ;AAAA;AAAA;AAAA,uBAGnB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMhB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,kBAAiB,QAAQ,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,aAAY,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,0BAAyB,IAAE,uBAAuB,KAAK,KAAK,KAAK,KAAKA,MAAE,CAAC,CAAC,uCAAsC,IAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,IAAE,GAAE,IAAE,MAAI,SAAO,MAAI;AAAK,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKnjC;AAAA;AAAA,+CAEoC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBzC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,KAAI,GAAG,GAAE,KAAK,cAAYA;AAAE,QAAI,GAAE;AAAE,QAAG,IAAE;AAAE,YAAM,MAAM,kBAAkB,wBAAwB;AAAE,QAAG,MAAI;AAAE,UAAE,SAAQ,IAAE;AAAA,SAAY;AAAC,UAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,UAAE,KAAK,GAAG,EAAE,CAAC,GAAG,GAAE,IAAE,KAAG,EAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,UAAE,EAAE,KAAK,GAAE,IAAE,EAAE,KAAK;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAEvmB;AAAA,4BACkB;AAAA;AAAA,2BAED;AAAA;AAAA,2BAEA;AAAA;AAAA;AAAA;AAAA,EAGtB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,QAAO,EAAE,OAAM,EAAE,MAAM,MAAM;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA,uBAG1N,EAAE;AAAA,kBACP,EAAE;AAAA;AAAA;AAJsN,IAMxO,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AANoN,IAMlN,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAFwE,IAY3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAZmB,IAYjB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAG/G,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAH2F,IAGzF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFuD,IAErD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAG3E,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAHuD,IAGrD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAoB3E,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AApBuD,IAoBrD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,sEAAsE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAA9rB,IAAgsB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACz7B,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,QAAO,IAAI,WAAW,EAAE,IAAI,OAAG,OAAO,CAAC,CAAC,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,uDAAuD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,MAAM,KAAKA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,MAAM,KAAKA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,gBAC7wC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,IAAE;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,eACxa,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE;AAAG,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAyB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAuB,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAmC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAA1E,IAA4E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,GAAE;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,KAAG;AAAA,mCAChlD,EAAE;AAAA,KACjC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAG,QAAG,MAAI;AAAE,UAAE;AAAA,SAA+B;AAAC,UAAI,IAAE;AAAE,UAAE,EAAE,IAAI,CAAC,GAAE,OAAK,KAAI,EAAE,WAAS,IAAE,oBAAoB,cAAc,OAAK,UAAU,IAAE,gBAAgB,cAAc,KAAK,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,SAAK,WAAS;AAAA,QACnb,aAAa,KAAK;AAAA,QAClB,eAAe,KAAKA;AAAA;AAAA;AAAA,UAGlB;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC,WAASA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAO,SAAM,CAACA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAwB,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAGj2E,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAH60E,IAG30E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE9Q;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,iBAAiB,wBAAwB;AAAE,MAAG,MAAI;AAAE,WAAM,eAAe,EAAE,CAAC;AAAK,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,KAAK,QAAQA,IAAE,CAAC,MAAM,EAAE,CAAC,IAAI;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,YAAU,EAAE,MAAM,SAAO,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,KAAI,MAAK,MAAK,GAAE,EAAC,MAAK,aAAY,MAAK,MAAK,GAAE,EAAC,MAAK,eAAc,MAAK,QAAO,GAAE,EAAC,MAAK,OAAM,MAAK,MAAK,GAAE,EAAC,MAAK,OAAM,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwCn5B;AAAC;AAxCspB,IAwCppB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,KAAI,MAAK,MAAK,GAAE,EAAC,MAAK,aAAY,MAAK,MAAK,GAAE,EAAC,MAAK,KAAI,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkC/L;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,QAAI,QAAM,EAAE,8BAA8B,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE;AAAG,SAAG;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,UAAU,0CAA0C,GAAE,IAAE,EAAE,EAAE,UAAU,8BAA8B,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,IAAE,KAAG,IAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAE,WAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC,CAAC,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,GAAE,GAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAM,SAAQ,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,MAAI,QAAM,EAAE,UAAS,IAAE,IAAEA,IAAE,aAAa,CAAC,IAAE,GAAE,IAAE,EAAE,cAAc,CAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,OAAG,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,MAAK,IAAE,MAAI,MAAI,OAAK,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,MAAI,OAAK,IAAE,CAAC,GAAE,CAAC,OAAO,iBAAiB,GAAE,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,MAAI,OAAK,IAAE,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,WAAU,EAAC,EAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE;AAAE,IAAE,KAAK,CAAC,GAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,YAAY,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,YAAO,GAAE;AAAA,MAAC,KAAI;AAAW,YAAE;AAAE;AAAA,MAAM,KAAI;AAAU,YAAE;AAAE;AAAA,MAAM,KAAI;AAAO,YAAE;AAAE;AAAA,MAAM,KAAI;AAAU,YAAE;AAAE;AAAA,MAAM;AAAQ,YAAE;AAAE;AAAA,IAAK;AAAC,SAAK,WAAS;AAAA;AAAA;AAAA,mBAG52D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiB,gCAAgCA;AAAA;AAAA;AAAA,sCAGtC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBA;AAAA;AAAA;AAAA;AAAA,mDAIaA;AAAA,mDACA;AAAA;AAAA,sBAE7B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwBb;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA,KAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,QAAQ,GAAE,QAAQ,KAAK,aAAY,4DAA4D;AAAE,MAAI,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,SAAQ,EAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAE,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,YAAY;AAAE,QAAI,IAAE,EAAE,YAAW,IAAE,EAAE,WAAU,IAAE,EAAE,QAAO,IAAE,EAAE,aAAY,IAAE,IAAE,KAAK,KAAK,IAAE,CAAC;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,OAAM,IAAE,YAAW,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA;AAAA,OAE18C,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACe;AAAA;AAAA;AAAA;AAG3B,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACQ;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA,0CACmB;AAAA;AAAA;AAAA,UAGhC;AAAA;AAAA;AAAA;AAAA;AAAA,UAKA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASE,eAAe;AAAA,wDAC6B;AAAA;AAAA;AAAA;AAAA,8BAI1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlB;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBN;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAeb;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAeb;AAAA;AAAA,oBAEQ;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAG,MAAI,IAAE,EAAE,aAAa,gBAAgB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,aAAa,8BAA8B,GAAE,CAAC,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,aAAY,EAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAEA,IAAE,cAAc,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,QAAG,EAAE,KAAK,CAAC,GAAE,EAAE,MAAM,CAAC,MAAI;AAAE,aAAO;AAAE,QAAI,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,CAAC,IAAE,CAAC,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAE,GAAE,sBAAqB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAG,KAAG,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,MAAI,CAAC,IAAE;AAAK,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,6DAA6D;AAAE,MAAG,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,uDAAuD,EAAE,MAAM,SAAS;AAAE,QAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,KAAG,OAAK,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,qEAAqE;AAAE,MAAI,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,GAAE,GAAE,KAAG,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA;AAAE,WAAS,EAAE,GAAE;AAAC,IAAAA,MAAE,EAAE,KAAK,MAAM,GAAE,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE;AAAC,QAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,KAAG,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,WAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAGA,IAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAA,EAAC;AAAC,SAAM,EAAC,YAAW,GAAE,aAAY,QAAO,WAAU,GAAE,YAAW,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI;AAAE,WAAS,EAAE,GAAE;AAAC,QAAE,EAAE,KAAK,MAAM,GAAE,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,QAAQ,CAAC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE;AAAC,QAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,OAAG,OAAKA,MAAE,EAAE,OAAM,IAAE,EAAE,2BAA2B,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,WAAW,GAAE,CAAC;AAAE,QAAG,EAAE,cAAc,CAAC,MAAI;AAAE,aAAO;AAAE,QAAI,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,YAAO,MAAI,EAAE,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAG,GAAE;AAAA,EAAC;AAAC,SAAM,EAAC,YAAW,GAAE,aAAY,QAAO,WAAU,GAAE,YAAW,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,SAAQ,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,IAAI,OAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,EAAE,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,WAAO,GAAGA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,mBAAmB,CAAC;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,MAAI,MAAI,IAAE;AAAI,MAAI,IAAE,GAAG,EAAE,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE,EAAC,QAAO,EAAE,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,EAAE,MAAK;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,MAAE,CAAC,MAAI,KAAGA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,CAAC,CAAC,MAAI,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,KAAG,MAAI,MAAI,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,OAAK,IAAE;AAAG,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAM,CAACA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,MAAK,IAAE;AAAG,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,IAAI,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,IAAAA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,OAAK,MAAI,IAAE;AAAA,EAAG;AAAC,SAAM,EAAC,YAAW,GAAE,cAAa,GAAE,MAAK,GAAE,oBAAmB,EAAC;AAAC;AAAC,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,WAAW,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE;AAAW,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,6CAA6C,EAAE,yCAAyC;AAAE,MAAG,EAAE,kBAAgB,KAAG,EAAE,mBAAiB;AAAE,UAAM,IAAI,MAAM,0EAA0E,EAAE,mBAAmB,EAAE,iBAAiB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC;AAAE,SAAO,EAAE,OAAO,MAAI,EAAE,cAAc,CAAC,GAAE,MAAI,cAAc,iBAAiB,EAAE,uEAAuE,GAAE,EAAE,QAAQ,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,4DAA4D;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwB,oBAAoB,eAAe;AAAE,MAAI,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE,EAAE,QAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,KAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAEA,KAAE,CAAC,GAAE,IAAE,GAAG,iBAAiB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,kBAAkB,GAAE,CAAC;AAAE,WAAO,EAAE,UAAQ,WAAS,EAAE,cAAY,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,CAAC,CAAC,IAAE,EAAE,mBAAmB,CAAC,EAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,cAAc,CAAC,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAO,EAAE,cAAY,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,mBAAmB,CAAC,GAAE,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI;AAAE,OAAG,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,WAAU,MAAI;AAAE,OAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,WAAU,MAAI;AAAE,OAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,MAAE,IAAI,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,IAAAA,IAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,IAAEA,MAAE;AAAE,QAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE,IAAEA,MAAE,IAAE,IAAE;AAAE,UAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,MAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,EAAE,OAAMA,GAAC,GAAE,IAAE,EAAE,mBAAmB,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE,EAAE,eAAe,EAAE,MAAM,MAAK,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,GAAE,EAAE,CAAC,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAO;AAAE,MAAG,EAAE,CAAC,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE;AAAE,QAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,QAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAE,QAAM;AAAE,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,cAAY,EAAE,uBAAuB,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,cAAc,EAAE,CAAC,EAAE,MAAM,MAAM,GAAE,CAAC,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,WAAO,KAAG,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,mBAAmB,CAAC,CAAC,GAAE,IAAEA,IAAE,mBAAmB,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,SAAS,GAAE,IAAE,CAAC;AAAE,QAAE,IAAI,GAAE,CAAC,GAAE,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE;AAAE,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,oDAAoD,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAEA,KAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,eAAa,gBAAe,IAAE,EAAE,eAAe,EAAE,OAAO,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,WAAW,EAAE,SAAQ,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,GAAG,MAAM,EAAE,IAAG,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,IAAG,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,IAAG,EAAE,GAAE;AAAE;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,CAAC,IAAE;AAAS,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,oBAAmB,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,IAAE,OAAO,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,4BAA4B,EAAE,mCAAmC;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,QAAI,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,IAAE,2BAA2B,WAAU,CAAC,CAAC,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,GAAE,GAAE,GAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE;AAAE,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,IAAE,OAAO,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,2BAA2B,EAAE,mCAAmC;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,QAAI,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,IAAE,2BAA2B,UAAS,CAAC,CAAC,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,GAAE,GAAE,GAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE;AAAE,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,SAAQ,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,MAAI,SAAO,IAAE,GAAE,GAAE,EAAE,MAAM,SAAO,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,KAAG,OAAK,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE;AAAE,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,mEAAmE,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,SAAS;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAMA,KAAE,OAAM,EAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,GAAE,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,KAAKA,GAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE;AAAM,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,GAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,MAAK,GAAE,UAAS,GAAE,QAAO,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,KAAG,OAAK,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,KAAG,GAAE,IAAE,KAAG,OAAK,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,KAAG,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,qEAAqE;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,aAAY,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,MAAM,SAAS;AAAE,QAAG,EAAE,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,2BAA2B,EAAE,wDAAwD,IAAI;AAAE,QAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE,GAAE,IAAE,EAAE,WAAU,IAAE,EAAE,UAAS,IAAE,EAAE;AAAQ,MAAG,MAAI;AAAO,UAAM,IAAI,MAAM,yDAAyD,wBAAwB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,KAAG,OAAK,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,KAAG,GAAE,EAAE,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,8EAA8E;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,aAAY,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,+DAA+D,EAAE,MAAM,SAAS;AAAE,QAAG,EAAE,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,oCAAoC,EAAE,wDAAwD,IAAI;AAAE,QAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE,GAAE,IAAE,EAAE,WAAU,IAAE,EAAE,UAAS,IAAE,EAAE;AAAQ,MAAG,MAAI;AAAO,UAAM,IAAI,MAAM,kEAAkE,wBAAwB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,KAAG,OAAK,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,KAAG,GAAE,EAAE,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAEA,KAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,mBAAmB,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,UAAS,MAAK,CAAC,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,MAAM,SAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,EAAE,WAAU,GAAE,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,QAAM,EAAE,aAAY;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,MAAM;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,IAAE,OAAO,EAAE,UAAQ,WAAU,MAAI,0DAA0D,EAAE,QAAQ;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE;AAAY,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,6CAA6C,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,QAAO,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAI,MAAI,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO,EAAE,UAAQ,aAAW,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,MAAK,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,WAAW,EAAE,KAAK,OAAO,QAAO,GAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,KAAK,MAAM,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC;AAAC;AAAC,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,KAAK,MAAM,CAAC,GAAE,EAAE,KAAK,MAAM,CAAC,GAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,MAAM,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,IAAE,KAAK,MAAM,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,IAAE,KAAK,MAAM,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,WAAU,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,IAAG,MAAM;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,KAAK,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAI,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,UAAQ,aAAWA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,QAAO,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAxJ,IAA0J,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG,GAAG,IAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAEA,KAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAEA,KAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,KAAG,GAAE,GAAE,EAAE,QAAO,GAAE,EAAE,MAAM,QAAO,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAE,MAAK,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC,GAAE,IAAE,MAAI,GAAE,IAAE,KAAI,IAAE,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,GAAE,IAAE,IAAE,CAAC,IAAE,CAAC,GAAG,GAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAO;AAAE,MAAG,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,YAAW,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,MAAI,KAAG,IAAE,KAAG,MAAI,IAAE,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAEA,IAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAIA,IAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAWA,IAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAG,GAAG,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,WAAU,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,QAAOA,IAAC,GAAE,OAAM,EAAC,KAAI,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAIA,IAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAWA,IAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,cAAcA,IAAE,KAAK,IAAE;AAAE,SAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAG,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,uBAAsB,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,gDAAgD,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,gDAAgD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,kDAAkD,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAM,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,SAAO,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAEA;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACnm4C,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,yDAAyD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,8CAA8C,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,qDAAqD;AAAE;AAAA,IAAM,KAAK,GAAE;AAAC,UAAI,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC;AAAE,UAAE,EAAE,gDAAgD,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAI,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC;AAAE,UAAE,EAAE,gDAAgD,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAM,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,0BAAyB,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,SAAS,EAAE,QAAO,IAAE,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,GAAG,EAAE,KAAK,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,wDAAwD;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,6DAA6D;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,yDAAyD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM,KAAK;AAAE,UAAE,EAAE,uDAAuD,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAGA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAMA,IAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,GAAG,GAAE,IAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,SAAO,GAAG,GAAE,KAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,SAAQ,SAAQ,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAEA,KAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,QAAQ,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,IAAE,cAAY;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAEA,KAAE,EAAC,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,GAAE,OAAO;AAAE,IAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,QAAQ,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,IAAE,cAAY;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,EAAC,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,EAAE,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,UAAS,QAAO,UAAS,QAAQ,CAAC;AAAC;AAAC,IAAI,MAAI,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,EAAE,SAAO,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAApW,IAAsW,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,QAAO,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAEA,KAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAW,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM,KAAI;AAAO,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAE;AAAA,EAAK;AAAC,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,CAAC,IAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,MAAM,SAAO,GAAE,GAAE,EAAE,SAAO,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,GAAE,EAAE,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,EAAC,QAAO,GAAE,OAAM,EAAC,OAAK,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,EAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,KAAK,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,MAAI,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAI,KAAG,CAAC;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,yBAAwB,YAAS;AAAC,MAAG;AAAC,WAAO,YAAY,SAAS,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,EAAE,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,WAAM;AAAA,EAAE;AAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,YAAS;AAAC,MAAG,GAAG,IAAI,SAAS;AAAE,WAAM;AAAG,MAAG;AAAC,WAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,GAAE,YAAY,SAAS,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,GAAE,GAAE,IAAG,GAAE,KAAI,IAAG,GAAE,GAAE,IAAG,EAAE,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,WAAM;AAAA,EAAE;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAd,IAAgB,KAAG,GAAG,GAAG,CAAC;AAA1B,IAA4B,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,GAAG,WAAS;AAAnB,IAAsB,MAAI,GAAG,WAAS;AAAtC,IAAyC,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAE;AAAC,UAAM,GAAE,KAAK,OAAK,GAAE,KAAK,mBAAiB,GAAE,KAAK,KAAK,KAAK,qBAAqB,EAAE,GAAE,KAAG,KAAK,KAAK,KAAK,gBAAgB,GAAE,KAAK,YAAU,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAC,IAAG,KAAK,mBAAkB;AAAE,WAAO,KAAK,KAAK,GAAE,GAAEA,KAAE,GAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,UAAU,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,EAAE,IAAI;AAAE,WAAO,EAAE,GAAE,EAAC,UAAS,EAAE,IAAI,IAAEA,IAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK;AAAmB,QAAG,MAAI,UAAS;AAAC,UAAI,IAAEA;AAAE,WAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,aAAY,GAAE,OAAM,GAAE,OAAM,GAAE,cAAa,MAAK,UAAS,EAAC,CAAC;AAAE;AAAA,IAAM;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,IAAE,EAAE,gBAAgB,CAAC,GAAE,IAAE,KAAK,KAAK,QAAQ,CAAC;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,cAAa,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,EAAC,CAAC,GAAE,KAAK,KAAK,KAAK,eAAe,GAAE,GAAE,CAAC,GAAEA,OAAG,QAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,IAAE,QAAOA,IAAE,YAAW,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE,GAAE;AAAC,QAAG,EAAC,cAAa,GAAE,OAAM,GAAE,OAAM,GAAE,aAAY,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,MAAI;AAAS,cAAOA,OAAG,QAAMA,QAAI,OAAK,KAAG,QAAM,KAAG,EAAE,UAAQ,IAAE,EAAE,MAAMA,KAAE,CAAC;AAAE,IAAAA,MAAEA,OAAG,GAAE,IAAE,KAAG,EAAE,cAAc,CAAC;AAAE,QAAI,IAAE,EAAE,gBAAgB,CAAC,GAAE,IAAE,KAAK,KAAK,OAAO,MAAM,IAAEA,MAAE,GAAE,IAAE,IAAE,CAAC;AAAE,WAAO,IAAI,EAAE,QAAO,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,UAAU,IAAI,CAAC,GAAE;AAAC,UAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,UAAG,EAAE,YAAW,CAACA,OAAG,EAAE,WAAS;AAAE,eAAM;AAAG,WAAK,KAAK,MAAM,EAAE,YAAY,GAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,GAAE,KAAK,UAAU,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,IAAE,KAAK,UAAU,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,IAAAA,OAAG,QAAMA,IAAE;AAAA,EAAU;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,gBAAgB,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,EAAE;AAAA,EAAY;AAAA,EAAC,UAAS;AAAC,SAAK,KAAK,KAAK,QAAQ,GAAE,aAAY,KAAK,QAAM,KAAK,KAAK,QAAQ,oBAAoB,GAAE,KAAK,OAAK;AAAA,EAAI;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,MAAE;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,QAAI;AAAE,QAAG,KAAG;AAAK,UAAE,KAAK,MAAM,MAAK,GAAEA,GAAC;AAAA,SAAM;AAAC,UAAI,IAAE,KAAK;AAAmB,UAAE,EAAC,IAAG,EAAC,GAAE,KAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,cAAa,GAAE,OAAM,GAAE,OAAMA,KAAE,UAAS,EAAC,CAAC;AAAE,UAAI,IAAE,EAAE,cAAc,CAAC;AAAE,WAAK,KAAK,KAAK,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,EAAC,GAAE;AAAC,QAAI,IAAE,KAAK,KAAK,OAAO,QAAO,EAAC,cAAa,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,YAAOA,KAAE;AAAA,MAAC,KAAI;AAAU,eAAO,IAAI,aAAa,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,IAAI,WAAW,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAO,eAAO,IAAI,WAAW,GAAE,GAAE,CAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,iBAAiBA,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,SAAM,CAAC,GAAEA,SAAK,EAAE,MAAM,GAAE,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,OAAG;AAAC,MAAE,MAAI,EAAE,IAAI,EAAE,uCAAuC,IAAI,GAAE,EAAE,YAAY,EAAE,KAAK,OAAG;AAAC,kBAAY,YAAY,GAAE,CAAC,EAAE,KAAK,OAAG;AAAC,QAAAA,IAAE,EAAE,UAAS,EAAE,MAAM;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC,CAAC,GAAE,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAK,WAAO;AAAG,MAAI,IAAE;AAAyB,SAAO,KAAG,IAAE,IAAE,yCAAuC,MAAI,IAAE,gCAA+B,MAAI,QAAM,GAAG,CAAC,KAAG,OAAK,GAAG,CAAC,IAAEA,MAAE;AAAC;AAAC,eAAe,KAAI;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,EAAE,SAAS,uBAAuB,GAAE,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC;AAAE,SAAO,IAAI,QAAQ,CAACA,KAAE,MAAI;AAAC,QAAI,IAAE,CAAC;AAAE,MAAE,aAAW,CAAC,GAAE,MAAI;AAAC,UAAG,EAAE,SAAS,YAAY,GAAE;AAAC,YAAI,IAAE,GAAG,mBAAmB,QAAQ,OAAM,KAAK,GAAE,IAAE,IAAI,KAAK,CAAC,CAAC,GAAE,EAAC,MAAK,yBAAwB,CAAC;AAAE,eAAO,IAAI,gBAAgB,CAAC;AAAA,MAAC;AAAC,aAAO,EAAE,SAAS,OAAO,IAAE,GAAG,GAAE,GAAE,MAAI,OAAK,KAAG,CAAC,IAAE,IAAE;AAAA,IAAC,GAAE,OAAK,EAAE,kBAAgB,IAAI,GAAG,GAAE,GAAE,MAAI,OAAK,KAAG,EAAE,CAAC;AAAG,QAAI,IAAE;AAAG,MAAE,UAAQ,MAAI;AAAC,UAAG,KAAG;AAAG;AAAO,WAAG,MAAG,EAAE,EAAC,SAAQ,kMAAiM,CAAC;AAAA,IAAC;AAAE,QAAI;AAAE,SAAG,KAAG,MAAI,QAAM,EAAE,sBAAoB,IAAI,KAAK,CAAC,yCAAuC,GAAG,SAAS,CAAC,GAAE,EAAC,MAAK,kBAAiB,CAAC,GAAE,IAAE,GAAG,CAAC,KAAG,IAAE,IAAI,CAAC,GAAE,EAAE,KAAK,OAAG;AAAC,UAAE,MAAG,KAAG;AAAG,UAAI,IAAE;AAAK,QAAE,OAAK,EAAC,MAAK,EAAE,MAAM,QAAO,MAAK,CAAC,CAAC,GAAE,sBAAqB,EAAE,MAAM,2BAA0B,MAAK,CAAC,QAAQ,CAAC,GAAE,iBAAgB,EAAE,MAAM,qBAAoB,UAAS,CAAC,CAAC,GAAE,gBAAe,EAAE,MAAM,mBAAkB,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC,GAAE,aAAY,EAAE,MAAM,gBAAe,GAAE,CAAC,QAAQ,CAAC,GAAE,SAAQ,EAAE,MAAM,WAAU,GAAE,CAAC,CAAC,EAAC,GAAEA,IAAE,EAAC,MAAK,EAAC,CAAC;AAAA,IAAC,CAAC,EAAE,MAAM,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAI;AAAU,aAAO,IAAI,aAAa,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAO,IAAI,WAAW,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,IAAI,WAAW,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,iBAAiB,GAAG;AAAA,EAAC;AAAC;AAAC,IAAI,MAAI,CAAC,0BAAyB,+BAA8B,sCAAsC;AAAtG,IAAwG,KAAG;AAA3G,IAAgH,KAAG;AAAnH,IAAwH,KAAG,CAAC;AAA5H,IAA8H,KAAG;AAAjI,IAAoI,KAAG;AAAG,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,MAAG,GAAG,mGAAmG,GAAE;AAAG,UAAM,IAAI,MAAM,gIAAgI;AAAE,OAAG,GAAE,KAAG;AAAC;AAAC,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,MAAG;AAAG,UAAM,IAAI,MAAM,iIAAiI;AAAE,MAAG,OAAO,KAAG;AAAS,SAAG;AAAA,OAAM;AAAC,SAAG;AAAE,QAAIA,MAAE,IAAI,OAAO,OAAG,GAAG,CAAC,KAAG,IAAI;AAAE,QAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,2DAA2DA,IAAE,KAAK,GAAG,gKAAgK;AAAA,EAAC;AAAC,OAAG;AAAC;AAAC,IAAI,KAAG;AAAP,IAAU,KAAG;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,MAAK;AAAC,MAAG,OAAK;AAAG,UAAM,IAAI,MAAM,+BAA+B;AAAE,SAAO;AAAE;AAAC,IAAI,MAAI;AAAQ,IAAI,MAAI;AAAE,GAAG,QAAO,YAAS;AAAC,MAAG,EAAC,MAAK,EAAC,IAAE,MAAM,GAAG;AAAE,SAAO,IAAI,GAAG,CAAC;AAAC,GAAE,GAAG;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,EAAE;AAAE,GAAG,aAAa,sBAAqB,MAAI,IAAE;AAAE,GAAG,aAAa,8BAA6B,MAAI,EAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,KAAE;AAAE,GAAG,aAAa,4BAA2B,MAAI,KAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,GAAG;AAAE,GAAG,aAAa,2BAA0B,MAAI,KAAE;AAAE,GAAG,aAAa,kCAAiC,MAAI,IAAE;AAAE,GAAG,aAAa,iCAAgC,MAAI,KAAE;AAAE,GAAG,aAAa,sDAAqD,MAAI,CAAC;AAAE,GAAG,aAAa,sCAAqC,MAAI,KAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,UAAI,KAAK,SAAO,EAAE,QAAO,KAAK,eAAa,EAAE,cAAa,KAAK,qBAAmB,KAAK,sBAAsB;AAAA,EAAE;AAAA,EAAC,wBAAuB;AAAC,QAAG,KAAK,QAAQ,GAAE;AAAC,UAAG,KAAK,aAAa,WAAW,KAAK;AAAE,eAAO,OAAO,KAAK,aAAa,MAAM,KAAK,CAAC;AAAE,UAAG,KAAK,aAAa,WAAW,IAAI;AAAE,eAAO;AAAA,IAAE;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,WAAS;AAAA,EAAO;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,iBAAe,GAAE,KAAK,iBAAe,GAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,cAAY,oBAAI,OAAI,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAEA,KAAE;AAAC,WAAO,KAAK,cAAc,GAAEA,KAAE,IAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,IAAE,OAAG;AAAC,QAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,QAAG,KAAK,YAAY,IAAI,CAAC,KAAG,KAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,YAAY,IAAI,CAAC,KAAG,KAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,gBAAc,GAAE,KAAK,kBAAiB,KAAK,YAAY,IAAI,CAAC,EAAE,SAAO,GAAE;AAAC,WAAK;AAAiB,UAAI,IAAE,KAAK,YAAY,IAAI,CAAC,EAAE,MAAM;AAAE,aAAO,KAAK,YAAY,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,IAAC;AAAC,SAAK,qBAAmB;AAAE,QAAI,IAAE,KAAK,OAAO,aAAa,EAAC,MAAK,GAAE,OAAMA,KAAE,kBAAiB,EAAC,CAAC;AAAE,WAAO,KAAK,YAAY,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,YAAY,SAAO;AAAE;AAAO,QAAI,IAAE,GAAGA,KAAE,CAAC;AAAE,SAAK,YAAY,IAAI,CAAC,KAAG,KAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,YAAY,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,kBAAiB,KAAK;AAAiB,QAAI,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,wEAAwE;AAAE,MAAE,OAAO,GAAE,CAAC,GAAE,KAAK,gBAAcA;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAEA,KAAE,GAAE;AAAC,MAAE,SAAS,WAAW,KAAK,EAAE,KAAK,MAAI;AAAC,WAAK,cAAc,GAAEA,KAAE,CAAC;AAAA,IAAC,GAAE,OAAG;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,UAAS;AAAC,SAAK,YAAY,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,YAAY,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,cAAY,oBAAI,OAAI,KAAK,iBAAe,GAAE,KAAK,iBAAe,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,GAAG,KAAK;AAAG;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,IAAEA,MAAE,GAAE,IAAE,GAAG,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAG,KAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,gBAAc,GAAE,KAAK,mBAAkB,KAAK,aAAa,IAAI,CAAC,EAAE,SAAO,GAAE;AAAC,WAAK;AAAkB,UAAI,IAAE,KAAK,aAAa,IAAI,CAAC,EAAE,MAAM;AAAE,aAAO,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,IAAC;AAAC,SAAK,qBAAmB;AAAE,QAAI,IAAE,KAAK,OAAO,cAAc,EAAC,MAAK,CAAC,GAAEA,GAAC,GAAE,QAAO,GAAE,OAAM,EAAC,CAAC;AAAE,WAAO,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,KAAK,aAAa,SAAO;AAAE;AAAO,QAAI,IAAE,GAAGA,KAAE,GAAE,GAAE,CAAC;AAAE,SAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK;AAAkB,QAAI,IAAE,KAAK,aAAa,IAAI,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0EAA0E;AAAE,MAAE,OAAO,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,CAAC,GAAE,IAAEA,MAAE,IAAE;AAAE,SAAK,gBAAc;AAAA,EAAC;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,SAAK,aAAa,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,aAAa,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,oBAAI,OAAI,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAM,GAAG,KAAK,KAAKA,OAAK;AAAG;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAa,WAAO;AAAG,QAAM,IAAI,MAAM,GAAG,qBAAqB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAK,IAAI,GAAG,CAAC,IAAE;AAAE,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAIA,MAAE,EAAE,QAAO,IAAE,EAAE,IAAI,OAAG,GAAG,KAAK,IAAI,GAAE,IAAE,IAAI,MAAMA,MAAE,CAAC;AAAE,IAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,KAAG,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,IAAI,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAK,SAAO;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,GAAEA,QAAIA,QAAI,UAAQ,aAAa,mBAAmB,SAAO;AAAA;AAAA;AAAA;AAAA,4DAI5hnB;AAAA;AAAA,oDAER;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAMvC,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,MAAI;AAAC,MAAI,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAIA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,mBAAmB,EAAC,MAAK,GAAE,OAAM,EAAE,YAAY,KAAI,CAAC;AAAE,SAAO,EAAE,sBAAsB,EAAC,SAAQ,EAAC,QAAO,GAAE,YAAW,SAAQ,GAAE,OAAM,EAAE,YAAY,MAAK,QAAO,OAAM,CAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAE,WAAM;AAAM,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAO,MAAG,MAAI;AAAE,WAAM;AAAO,QAAM,MAAM,gBAAgB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,QAAM,MAAM,SAAS,wBAAwB;AAAC;AAAC,SAAS,KAAK,GAAE;AAAC,MAAI;AAAE,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,UAAE;AAAA;AAAA;AAE3qB;AAAA,IAAM,KAAK;AAAE,UAAE;AAAA,kBACL,EAAE,CAAC;AAAA;AACb;AAAA,IAAM;AAAQ,YAAM,MAAM,aAAa;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA;AAAE,SAAOA,MAAE;AAAA,OACnF,IAAI,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAWF,IAAE,4BAA0B;AAAA;AAAA,OAEhCA;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAM;AAAA,6BACD,EAAE,cAAc,CAAC,MAAM,EAAE,cAAc,CAAC,MAAM,EAAE,cAAc,CAAC;AAAA;AAC3F;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAEA,IAAE,cAAc,CAAC,IAAEA,IAAE,cAAc,CAAC,IAAEA,IAAE,cAAc,CAAC;AAAE,MAAG,EAAE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAU1F,GAAGA,GAAC,IAAE,8BAA4B;AAAA,qEACyB;AAAA;AAAA;AAAA;AAAA,KAIhE,GAAEA,IAAE,cAAa;AAAC,MAAE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uEAOyC,GAAG,EAAE,OAAMA,IAAE,MAAM;AAAA;AAAA,OAEnF;AAAE,QAAI,IAAE,GAAGA,GAAC;AAAE,WAAM,CAAC,IAAG,EAAE,KAAK;AAAA,CACrC,GAAE,GAAG,EAAE,KAAK,GAAEA,IAAE,YAAY,GAAE,GAAG,GAAEA,GAAC,CAAC,EAAE,KAAK;AAAA,CAC5C;AAAA,EAAC;AAAC,MAAI,IAAE;AAAgD,EAAAA,IAAE,cAAc,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,EAAE,CAAC,EAAE,MAAM,MAAM;AAAE,SAAG,GAAG,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,YAAY;AAAA,EAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,MAAM,MAAM;AAAE,OAAG,cAAc;AAAM,MAAI,IAAE,EAAE,MAAM,SAAO,GAAE,IAAE,GAAG,CAAC;AAAE,OAAG;AAAA,4BACxO,OAAMA,IAAE,SAAO,KAAG,iBAAgBA,IAAE,aAAW,KAAGA,IAAE,WAAU,KAAG,MAAK,IAAE,IAAI,CAAC,GAAE,EAAE,KAAK,CAAC,GAAEA,IAAE,SAAO,EAAE,KAAK;AAAA;AAAA,KAEhI,IAAE,EAAE,KAAK;AAAA,qEACuD,GAAG,EAAE,OAAMA,IAAE,MAAM;AAAA,KACnF,GAAEA,IAAE,cAAc,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,KAAK;AAAA,2BACnB,IAAE,yBAAyB,YAAYA,IAAE,gBAAcA,IAAE,cAAc,CAAC,IAAE,GAAG,EAAE,CAAC,EAAE,OAAMA,IAAE,MAAM;AAAA,SAClH;AAAA,EAAC,CAAC,GAAE,MAAI,MAAI,EAAE,KAAK;AAAA,2BACD,IAAEA,IAAE,cAAc;AAAA,OACtC;AAAE,MAAI,IAAE,IAAI,EAAE,OAAMA,IAAE,cAAc,GAAE,IAAE,CAAC,IAAG,EAAE,KAAK;AAAA,CACzD,IAAE,KAAI,GAAG,EAAE,KAAK,GAAE,GAAE,IAAI,EAAE,MAAM,MAAM,CAAC;AAAE,EAAAA,IAAE,UAAQ,EAAE,KAAK,IAAI,EAAE,OAAM,EAAE,OAAMA,IAAE,MAAM,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAE,EAAE,OAAMA,IAAE,gBAAcA,IAAE,cAAc,CAAC,MAAI,cAAYA,IAAE,QAAOA,IAAE,eAAe,EAAE,WAAS,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK;AAAA,CACtO;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAKA,IAAE,YAAY,CAAC;AAAE,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAO,EAAE,KAAK,GAAG,GAAEA,GAAC,CAAC,GAAE,EAAE,KAAK;AAAA,CAC9E;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE;AAAU,MAAG,EAAE;AAAa,WAAO;AAAE,MAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,iBAAiB,EAAE,OAAM,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,YAAY,EAAE,OAAM,EAAE,KAAK,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAG,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,CAAC,IAAE,iBAAe;AAAG,SAAO,KAAG,OAAK,EAAE,gBAAc,EAAE,cAAc,KAAK,GAAG,IAAE,MAAI,EAAE,IAAI,OAAG,EAAE,MAAM,EAAE,KAAK,GAAG,IAAE,EAAE,KAAK,GAAG,IAAE,EAAE,cAAc,KAAK,GAAG,IAAE,IAAE,IAAE,GAAE;AAAC;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IA2DpZ,MAAI;AAAA;AAAA;AAAA;AAAA;AAIJ,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,KAAG;AAAE,WAAM;AAA8D,MAAIA,MAAE,EAAE,eAAe,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,IAAI,GAAG;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAM;AAAA;AAAA;AAAA;AAGtM,MAAI;AAAE,SAAO,IAAE,wBAAsBA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,yCAAyC,GAAG,CAAC,KAAI,IAAE,MAAIA,IAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,gBAAgB,EAAE,CAAC,gCAAgC,GAAG,CAAC,MAAI,qBAAqB,EAAE,CAAC,gCAAgC,GAAG,CAAC;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE,GAAE;AAAA,4CACtQ;AAAA,QACpC;AAAA,eACO,KAAK,EAAE,KAAK,GAAG;AAAA;AAAA;AAE3B;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,EAAE,MAAM,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,CAAC,MAAK,MAAK,MAAK,MAAK,MAAK,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAE,MAAG,IAAE;AAAE,WAAO,IAAE;AAAA,aAC7L;AAAA,6BACgBA;AAAA;AAAA,UAErB;AAAA,WACG;AAAA,qBACUA;AAAA;AAAA;AAEf,MAAI,IAAE,YAAYA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,UAAS,IAAE,GAAG;AAAK,SAAO,MAAI,MAAI,IAAE,OAAM,IAAE;AAAA,WAC5F,KAAK;AAAA,2BACWA,yBAAuB,KAAK,KAAK,EAAE,KAAK,GAAG;AAAA,YAC1D;AAAA;AAAA,UAEJ;AAAA,SACC,KAAK;AAAA,mBACKA,yBAAuB,KAAK,KAAK,EAAE,KAAK,GAAG;AAAA,UACpD;AAAA;AAAA;AAEN;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAK,IAAE,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,YAAW,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC;AAAE,MAAG,EAAE,YAAY,EAAE,OAAM,CAAC,KAAG;AAAE,WAAOA,MAAE;AAAA,WACrK;AAAA,2BACgB;AAAA;AAAA;AAAA,WAGhB,oBAAoB;AAAA,2BACJ,KAAK,IAAE,IAAE,qCAAmC;AAAA;AAAA,UAE/D;AAAA,SACC;AAAA,mBACU;AAAA;AAAA;AAAA,SAGV,oBAAoB;AAAA,mBACV,KAAK,IAAE,IAAE,qCAAmC;AAAA;AAAA;AAEzD,MAAI,IAAE,EAAE,iBAAiB,EAAE,OAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAG,MAAG,MAAI;AAAE,WAAOA,MAAE;AAAA,SAC9D;AAAA,kBACS;AAAA;AAAA;AAAA,SAGT,oBAAoB;AAAA,kBACX;AAAA;AAAA,MAEd;AAAA,SACK;AAAA,kBACS;AAAA;AAAA;AAAA,SAGT,oBAAoB;AAAA,kBACX;AAAA;AAAA;AAEd,MAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,GAAG,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CAC9E;AAAE,MAAI,IAAE;AAAG,MAAG,IAAE,KAAG,IAAE;AAAE,QAAE;AAAA,WAAiB,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,MAAM,IAAI,CAAC,GAAE,MAAI,UAAU,GAAG,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI;AAAE,QAAE,GAAG,KAAK;AAAA,EAAI;AAAM,QAAE;AAAS,MAAI,IAAE,YAAY,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,UAAS,IAAE,GAAG;AAAK,SAAOA,MAAE;AAAA,SACxN;AAAA;AAAA,QAED;AAAA,eACO,uBAAuB,KAAK,MAAM;AAAA;AAAA;AAAA,SAGxC,sBAAsB;AAAA;AAAA,QAEvB;AAAA,eACO,uBAAuB,KAAK,MAAM;AAAA;AAAA,MAE7C;AAAA,OACG;AAAA;AAAA,MAED;AAAA,iBACW,uBAAuB,KAAK,MAAM;AAAA;AAAA;AAAA,OAG5C,sBAAsB;AAAA;AAAA,MAEvB;AAAA,iBACW,uBAAuB,KAAK,MAAM;AAAA;AAAA;AAElD;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,IAAI,GAAEA,GAAC;AAAE,SAAO,EAAE,MAAM,UAAQ,EAAE,WAAS,KAAG,IAAI,GAAE,GAAEA,KAAE,CAAC,IAAG;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAG,EAAC,GAAEA,KAAE,GAAE,IAAE,CAAC,GAAE,GAAE,IAAE,CAAC,EAAC,IAAE,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,SAAO,EAAE,SAAO,EAAE;AAAO,MAAG,MAAI;AAAE,WAAM;AAAG,MAAGA,IAAE,WAAS;AAAE,WAAM,2BAA2B,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAIlP,MAAI,IAAE,IAAG,IAAE,CAACA,KAAE,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,EAAE,WAAS;AAAE,UAAG,EAAE,WAAS;AAAE,aAAG,QAAQ,EAAE,CAAC,oBAAoB;AAAA,WAAW;AAAC,YAAI,IAAE,GAAG,GAAE,mBAAmB;AAAE,aAAG,YAAY,oBAAoB;AAAO,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,eAAG,QAAQ,EAAE,CAAC,YAAY,OAAO,EAAE,CAAC,MAAK,MAAI,EAAE,SAAO,IAAE,KAAG,QAAQ,EAAE,IAAE,CAAC,YAAY,QAAQ,EAAE,CAAC,OAAO,EAAE,CAAC,OAAK,KAAG,QAAQ,YAAY,QAAQ,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA,MAAI;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,IAAI,GAAG;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,2BAA2B;AAAA,IACne;AAAA;AACF,SAAO,EAAE,WAAS,IAAE,KAAG,UAAU,YAAU,KAAG,UAAU,KAAK,EAAE,KAAK,GAAG,SAAQ;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE;AAAG,UAAO,GAAE;AAAA,IAAC,KAAK;AAAA,IAAE,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAI7H;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAIhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAIhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAKhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAQhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAShB;AAAA,IAAM;AAAQ,QAAE,OAAO,OAAG,MAAI,eAAe,UAAU;AAAE;AAAA,EAAK;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,SAAS,CAAC,MAAI,KAAG,EAAE,SAAS,CAAC,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,YAAU,IAAE,cAAY,QAAM,MAAI,WAAS,MAAI,SAAO,IAAE,cAAY,QAAM;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,GAAG,GAAEA,GAAC,GAAE;AAAE,MAAGA,MAAE,IAAE;AAAA,4BAC/Q;AAAA;AAAA;AAAA,4BAGA;AAAA,SACrB,IAAE;AAAA,4BACmB;AAAA;AAAA;AAAA,4BAGA;AAAA,QACrB,KAAG,GAAE;AAAC,QAAI,IAAE,CAAC,MAAK,MAAK,MAAK,MAAK,MAAK,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,IAAAA,MAAE,KAAG;AAAA,6BAC9C,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAA,mDACV,KAAK,EAAE,KAAK,IAAI;AAAA;AAAA;AAAA,gCAGnC,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAA,mDACb,KAAK,EAAE,KAAK,IAAI;AAAA;AAAA;AAAA,QAG7D,KAAG;AAAA,6BACoB,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAA,mDACV,KAAK,EAAE,KAAK,IAAI;AAAA;AAAA;AAAA,gCAGnC,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAA,mDACb,KAAK,EAAE,KAAK,IAAI;AAAA;AAAA;AAAA;AAAA,EAG9D;AAAC,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE;AAAwB,MAAE,EAAE,QAAQ,GAAE,OAAG,gBAAc,CAAC;AAAE,MAAIA,MAAE;AAAwB,SAAO,IAAE,EAAE,QAAQA,KAAE,CAAC,GAAE,GAAE,MAAI,MAAM,iBAAiB,GAAG,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,EAAE,EAAE,eAAe,eAAe,GAAG,KAAG,EAAE,eAAe,EAAE,WAAS,KAAG,EAAE,eAAe,eAAe,GAAG,KAAG,EAAE,eAAe,EAAE,WAAS;AAAE;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,oBAAmB,MAAI,IAAG,mBAAkB,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,GAAE,+BAA8B,MAAI,IAAG,+BAA8B,MAAI,IAAG,+BAA8B,MAAI,IAAG,oBAAmB,MAAI,IAAG,mBAAkB,MAAI,IAAG,yBAAwB,MAAI,IAAG,CAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAI,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAE,SAAS,IAAI,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,+BAA+B,EAAE,qCAAqC,EAAE,kCAAkC;AAAE,SAAO,EAAE,MAAM,CAACA,KAAE,MAAIA,MAAE,EAAE,CAAC,MAAI,CAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE;AAAC,MAAG,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,IAAE,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAE,GAAE,EAAE,IAAE,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAE,CAAC;AAAE,SAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,MAAI,EAAE,CAAC,IAAE,IAAG,KAAG,MAAIA,OAAG,OAAK,EAAE,CAAC,IAAE,KAAI,EAAC,eAAc,GAAE,mBAAkB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAGA;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,KAAG,IAAE,CAAC,GAAE,IAAG,CAAC,IAAE,KAAG,IAAE,CAAC,IAAG,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAGA;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,KAAG,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAG,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,EAAC,GAAE,EAAE,IAAI,CAAC,GAAEA,QAAIA,GAAC,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI,WAAS,MAAI,UAAQ,MAAI;AAAS,WAAO;AAAE,MAAG,MAAI;AAAY,WAAO;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,KAAI;AAAC,UAAO,OAAO,UAAQ,eAAa,OAAO,qBAAmB,gBAAc,CAAC,CAAC,UAAU;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,6DAA6D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,+BAA6B,CAAC,IAAE,gCAA+B,EAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,MAAI,EAAE,EAAE,UAAU,mCAAmC;AAAzD,IAA2D,MAAI,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,EAAE,OAAO,kCAAiC,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAS,MAAG,EAAE,MAAM,OAAG,KAAGA,GAAC;AAAE,WAAO;AAAE,IAAE,OAAO,EAAE,CAAC,IAAEA,OAAG,EAAE,MAAI,UAAQ,EAAE,MAAI,QAAO,MAAI,0DAA0D;AAAE,MAAI,IAAE,KAAK,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,IAAEA,OAAG,IAAE,KAAK,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,GAAE,EAAE,OAAO,KAAGA,KAAE,MAAI,6CAA6C,GAAE,CAAC,GAAE,GAAE,CAAC,KAAG,CAAC,GAAE,GAAE,CAAC;AAAC;AAA3b,IAA6b,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,QAAG,MAAM,GAAE,KAAK,uBAAqB,oBAAI,WAAQ,KAAK,0BAAwB,GAAE,KAAK,WAAS,OAAG,KAAK,iBAAe,GAAE,KAAK,4BAA0B,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,eAAa,GAAE,CAAC,GAAG;AAAE,YAAM,IAAI,MAAM,wCAAwC;AAAE,SAAK,gBAAc,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,QAAM,EAAE,OAAM,KAAK,wBAAsB,MAAK,KAAK,qBAAmB,MAAK,KAAK,mBAAiB,EAAE,SAAS,IAAI,+BAA+B,GAAE,KAAK,cAAY,IAAI,GAAGA,GAAC,GAAE,KAAK,gCAA8B,KAAK,YAAY,sBAAoB,KAAG,KAAG,GAAE,KAAK,gBAAc,IAAI,GAAG,KAAK,MAAM,GAAE,KAAK,iBAAe,IAAI,GAAG,KAAK,MAAM,GAAE,KAAK,YAAU,IAAI,GAAG,MAAK,GAAG,CAAC,GAAE,KAAK,qBAAmB,KAAK,WAAS,KAAK,OAAO,eAAe,EAAC,MAAK,aAAY,OAAM,EAAC,CAAC,IAAG,EAAE,EAAE,QAAQ,yBAAyB,MAAI,KAAK,cAAY,SAAS,cAAc,QAAQ,GAAE,KAAK,YAAY,QAAM,GAAE,KAAK,YAAY,SAAO,GAAE,KAAK,eAAa,KAAK,YAAY,WAAW,QAAQ,GAAE,KAAK,aAAa,UAAU,EAAC,QAAO,GAAE,QAAO,aAAY,CAAC,GAAE,SAAS,KAAK,YAAY,KAAK,WAAW;AAAA,EAAE;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,wBAAuB;AAAC,WAAO,eAAe,UAAQ,eAAe,WAAS,eAAe;AAAA,EAAQ;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,0BAA0B,QAAQ,CAAC,KAAG;AAAE,aAAM;AAAG,QAAG,CAAC,KAAK,UAAU,IAAI,CAAC;AAAE,aAAM;AAAG,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,KAAK,OAAO,CAAC,GAAE,CAACA,OAAG,EAAE,WAAS;AAAE,aAAM;AAAG,QAAG,KAAK,qBAAqB,IAAI,CAAC;AAAE,aAAO,KAAK,0BAA0B,KAAK,CAAC,GAAE;AAAG,QAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,GAAE,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,IAAG,KAAK,gBAAgB,CAAC,GAAE,KAAK,UAAU,OAAO,CAAC,GAAE;AAAA,EAAE;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,eAAc,KAAK,cAAc,cAAa,wBAAuB,KAAK,cAAc,mBAAkB,YAAW,MAAE;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,EAAE,CAACA,OAAG,CAACA,IAAE,eAAc;AAAC,UAAGA,IAAE,UAAS;AAAC,QAAAA,IAAE,eAAa;AAAK;AAAA,MAAM;AAAC,UAAG,aAAYA,IAAE,cAAa;AAAC,YAAI,IAAEA,IAAE;AAAa,UAAE,mBAAmB,cAAY,KAAK,eAAe,eAAe,EAAE,SAAQ,EAAE,OAAM,EAAE,QAAO,EAAE,QAAO,EAAE,KAAK,GAAE,EAAE,UAAQ;AAAA,MAAI,OAAK;AAAC,YAAI,IAAEA,IAAE;AAAa,aAAK,cAAc,cAAc,EAAE,QAAO,EAAE,MAAK,EAAE,KAAK,GAAE,EAAE,SAAO;AAAA,MAAI;AAAC,MAAAA,IAAE,eAAa;AAAA,IAAI;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,IAAE,KAAK,UAAU,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,UAAU,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,QAAG,MAAI,eAAa,KAAG;AAAK,YAAM,IAAI,MAAM,uEAAuE;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,GAAE,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,uEAAuE;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAOA,KAAE,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,SAAK,uBAAuB,GAAE,KAAK,MAAM,OAAO,CAAC,KAAK,sBAAsB,OAAO,CAAC,CAAC,GAAE,KAAK,wBAAsB,MAAK,KAAK,0BAAwB,GAAE,KAAK,uBAAqB,oBAAI,WAAQ,KAAK,0BAA0B,QAAQ,OAAG;AAAC,WAAK,gBAAgB,CAAC,GAAE,KAAK,UAAU,OAAO,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,uBAAuB,QAAQ,OAAG,KAAK,cAAc,cAAc,EAAE,QAAO,EAAE,MAAK,EAAE,KAAK,CAAC,GAAE,KAAK,uBAAuB,QAAQ,OAAG,KAAK,cAAc,oBAAoB,EAAE,QAAO,EAAE,MAAK,EAAE,KAAK,CAAC,GAAE,KAAK,4BAA0B,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,yBAAuB,CAAC;AAAA,EAAC;AAAA,EAAC,4BAA2B;AAAC,SAAK,0BAAwB,KAAK,wBAAsB,KAAK,OAAO,qBAAqB;AAAA,EAAE;AAAA,EAAC,yBAAwB;AAAC,SAAK,uBAAqB,KAAK,mBAAmB,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAK;AAAA,EAAC,iBAAgB;AAAC,WAAO,KAAK,uBAAqB,KAAK,qBAAmB,KAAK,sBAAsB,iBAAiB,IAAG,KAAK;AAAA,EAAkB;AAAA,EAAC,MAAM,cAAc,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,eAAe,WAAS,eAAe,QAAQ;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAK,YAAY,GAAE,MAAM,EAAE,SAAS,WAAW,IAAI;AAAE,QAAI,IAAE,EAAE,eAAe,EAAE,MAAM,CAAC;AAAE,WAAO,EAAE,MAAM,GAAE,KAAG,QAAM,KAAK,cAAc,cAAc,GAAEA,KAAE,eAAe,WAAS,eAAe,QAAQ,GAAE,EAAE,EAAE,QAAQ,yBAAyB,MAAI,EAAE,OAAO,KAAK,iBAAe,QAAO,MAAI,wCAAwC,GAAE,KAAK,aAAa,kBAAkB,IAAG;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAK,gBAAgB,CAAC,GAAE,EAAE,SAAOA,KAAE,EAAE;AAAA,EAAM;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,EAAC,IAAEA;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,6DAA6D;AAAE,WAAO;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,CAAC,KAAK,UAAU,IAAI,CAAC;AAAE,YAAM,IAAI,MAAM,UAAU,uBAAuB;AAAE,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,EAAC,IAAEA;AAAE,QAAG,KAAG;AAAK,aAAO,KAAK,qBAAqB,GAAE,CAAC;AAAE,QAAI;AAAE,QAAGA,IAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKA,IAAE,mBAAmB,KAAK,MAAM,GAAE,KAAK,KAAKA,IAAE,mBAAmB,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC,OAAK;AAAC,UAAI,IAAEA,IAAE,cAAa,IAAE,MAAM,KAAK,cAAc,EAAE,QAAO,EAAE,IAAI;AAAE,UAAE,EAAE,mCAAmC,GAAEA,IAAE,KAAK;AAAA,IAAC;AAAC,WAAO,KAAK,qBAAqB,GAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,CAAC;AAAE,WAAO,KAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAK,YAAY,GAAE;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAE;AAAO,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,qCAAqC;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,MAAK,UAAS,GAAE,UAAS,EAAE,SAAQ,CAAC;AAAE,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,IAAE,EAAE,cAAc,EAAE,KAAK;AAAE,QAAG,EAAE,OAAO,OAAK;AAAE,YAAM,IAAI,MAAM,kBAAkB,EAAE,OAAO,qCAAqC,KAAK;AAAE,SAAI,EAAE,OAAO,SAAO,eAAe,UAAQ,eAAe,gBAAc,eAAe,UAAQ,eAAe;AAAU,YAAM,IAAI,MAAM,kFAAkF;AAAE,WAAO,EAAE,aAAW,SAAK,IAAE,KAAK,WAAW,GAAE,GAAE,EAAE,KAAK,IAAG,EAAE,eAAa,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,OAAM,QAAO,EAAC,GAAE,GAAG,EAAE,qBAAqB,GAAEA,KAAE,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,cAAa,EAAC,IAAEA;AAAE,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,sDAAsD;AAAE,QAAG,KAAG;AAAK,YAAM,KAAG,OAAK,IAAI,MAAM,gCAAgC,IAAE,IAAI,MAAM,iCAAiC;AAAE,QAAI,IAAE,EAAE,MAAK,IAAE,KAAK,cAAc,cAAc,GAAE,EAAE,KAAK;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,EAAE,QAAO,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,YAAY;AAAE,QAAI,IAAE,KAAK,eAAe,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,yBAAyB,CAAC,GAAE,IAAE,KAAK,UAAU,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,eAAa,EAAC,MAAK,GAAE,OAAM,KAAK,sBAAsB,GAAE,QAAO,EAAC,GAAE,EAAC,WAAU,GAAE,QAAO,GAAE,SAAQ,EAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,SAAK,oBAAkB,QAAQ,KAAK,8VAA8V;AAAE,QAAIA,MAAE,KAAK,cAAa,IAAE,CAAC,GAAE,IAAE;AAAG,SAAK,sBAAoB,QAAM,KAAK,qBAAmB,GAAE,IAAE,QAAI,KAAK,aAAa,KAAK,CAAC,GAAE,KAAK,eAAa,GAAE,EAAE;AAAE,QAAI,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,KAAK,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI,GAAE,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,IAAI,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI;AAAE,SAAK,eAAaA,KAAE,MAAI,KAAK,qBAAmB;AAAM,QAAI,IAAE,EAAC,cAAa,KAAK,cAAa,gBAAe,KAAK,gBAAe,UAAS,MAAK,QAAO,KAAI,GAAE,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,WAAO,EAAE,WAAS,EAAE,IAAI,CAAC,GAAE,EAAE,sBAAoB,MAAI,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,MAAK,EAAE,CAAC,GAAE,IAAG,EAAC,EAAE,EAAE,IAAI,OAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,GAAE,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,WAAOA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAG,EAAC,QAAO,KAAK,MAAM,GAAE,GAAEA,GAAC,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAG,CAAC;AAAE,aAAO;AAAK,QAAIA,MAAE,KAAK,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,aAAYA,IAAE,cAAa;AAAC,UAAI,IAAEA,IAAE;AAAa,aAAO,EAAE,mBAAmB,qBAAmB,EAAE,UAAQ,EAAE,QAAQ,WAAW;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE;AAAa,WAAM,EAAC,QAAO,GAAE,MAAK,EAAE,MAAK,QAAO,EAAE,OAAM;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAE;AAAC,WAAO,KAAK,mBAAiB,KAAK,oBAAoB,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAGA,IAAE;AAAa;AAAO,QAAI,IAAE,GAAGA,IAAE,KAAK,IAAE,EAAE,cAAcA,IAAE,KAAK,GAAE,IAAE,KAAK,cAAc,cAAc,GAAE,KAAK,sBAAsB,CAAC;AAAE,QAAGA,IAAE,eAAa,EAAC,MAAK,GAAE,OAAM,KAAK,sBAAsB,GAAE,QAAO,EAAC,GAAEA,IAAE,QAAO;AAAC,UAAI,IAAE,KAAK,cAAc,oBAAoB,GAAE,eAAe,YAAU,eAAe,QAAQ,GAAE,IAAE,EAAE,eAAe;AAAE,MAAAA,IAAE,UAAQ,WAASA,IAAE,UAAQ,SAAO,IAAI,WAAW,CAAC,EAAE,IAAIA,IAAE,MAAM,IAAE,IAAI,aAAa,CAAC,EAAE,IAAIA,IAAE,MAAM,GAAE,EAAE,MAAM,GAAE,KAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,UAAI,IAAE,EAAC,MAAK,GAAE,OAAM,eAAe,YAAU,eAAe,UAAS,QAAO,EAAC;AAAE,WAAK,uBAAuB,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAIA,MAAE,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,QAAE,KAAK,WAAS,MAAI,EAAE,OAAK,CAAC,CAAC;AAAG,UAAI;AAAE,cAAO,EAAE,KAAK,QAAO;AAAA,QAAC,KAAK;AAAE,cAAE;AAAE;AAAA,QAAM,KAAK;AAAE,cAAE;AAAE;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM;AAAQ,YAAE,OAAO,OAAG,MAAI,eAAe,EAAE,KAAK,eAAe;AAAA,MAAC;AAAC,OAAC,MAAI,KAAG,MAAI,OAAK,IAAE,KAAI,IAAE,MAAI,IAAE,IAAGA,MAAE,KAAK,KAAKA,MAAE,CAAC,IAAE,GAAE,IAAE,EAAE,KAAK,QAAO,EAAE,KAAKA,GAAC,GAAEA,OAAG,EAAE,KAAK,SAAO;AAAA,IAAC,CAAC,GAAEA,MAAE,KAAK,KAAKA,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,IAAI,YAAYA,GAAC;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,SAAO,UAAQ,IAAI,WAAW,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI,IAAE,EAAE,SAAO,WAAS,IAAI,YAAY,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI,IAAE,IAAI,aAAa,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,eAAe,WAAS,eAAe,OAAO;AAAE,SAAK,MAAM,YAAY,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,EAAC,MAAKA,KAAE,OAAM,eAAe,WAAS,eAAe,SAAQ,QAAO,EAAC;AAAE,WAAO,KAAK,uBAAuB,KAAK,CAAC,GAAE,EAAC,QAAO,GAAE,MAAKA,KAAE,QAAO,EAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,MAAI,IAAE,KAAK,eAAe,EAAE,aAAY,CAAC,IAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,aAAO,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,SAAO,EAAE,uBAAuB,EAAE,OAAM,CAAC,GAAE;AAAE,SAAK,YAAY,EAAE,MAAM,GAAE,EAAE,WAAS,IAAI,KAAK,QAAO,CAAC;AAAE,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,CAAC,EAAE,cAAa;AAAC,QAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,GAAG,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,OAAO,CAAC,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,UAAI,IAAE;AAAQ,QAAE,IAAI,OAAG;AAAC,UAAE,KAAK,EAAC,MAAK,GAAE,MAAK,EAAC,CAAC;AAAA,MAAC,CAAC;AAAE,UAAI,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,UAAG,EAAE,KAAK,EAAC,MAAK,GAAE,MAAK,EAAC,CAAC,GAAE,EAAE,MAAK;AAAC,YAAI,IAAE,EAAE,cAAc,EAAE,WAAW;AAAE,UAAE,KAAK,EAAC,MAAK,GAAE,MAAK,CAAC,EAAE,SAAO,IAAE,IAAE,CAAC,EAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAG,EAAE,UAAQ;AAAY,cAAM,IAAI,MAAM,iIAAiI;AAAE,aAAO,KAAK,YAAY,EAAE,MAAM,GAAE,EAAC,OAAM,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,OAAM,OAAM,EAAE,OAAM,MAAK,EAAE,cAAc,CAAC,EAAC;AAAA,IAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,SAAK,KAAK,gBAAc,IAAE,KAAK,cAAc,CAAC,KAAG,IAAE,GAAG,KAAK,QAAO,GAAE,GAAE,CAAC,GAAE,KAAK,cAAc,CAAC,IAAE,IAAG,MAAI,IAAE,CAAC,GAAG,GAAE,GAAG,CAAC;AAAG,QAAI,IAAE,CAAC,KAAK,gBAAgB,CAAC,GAAE,GAAGA,IAAE,IAAI,OAAG,KAAK,gBAAgB,CAAC,CAAC,GAAE,KAAK,aAAa,CAAC,CAAC,GAAE,IAAE,KAAK,OAAO,gBAAgB,EAAC,QAAO,EAAE,mBAAmB,CAAC,GAAE,SAAQ,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,SAAQ,GAAE,UAAS,EAAC,EAAE,EAAC,CAAC;AAAE,SAAK,0BAA0B;AAAE,QAAI,IAAE,KAAK,eAAe,GAAE,IAAE,KAAK,gBAAc;AAAK,WAAO,KAAG,KAAK,oBAAkB,EAAE,eAAe,KAAK,UAAS,CAAC,GAAE,EAAE,YAAY,CAAC,GAAE,EAAE,aAAa,GAAE,CAAC,GAAE,EAAE,mBAAmB,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,CAAC,GAAE,KAAG,KAAK,oBAAkB,EAAE,eAAe,KAAK,UAAS,CAAC,GAAE,KAAK,2BAA0BA,IAAE,QAAQ,OAAG;AAAC,WAAK,qBAAqB,IAAI,EAAE,MAAM;AAAA,IAAC,CAAC,GAAE,KAAK,qBAAqB,IAAI,EAAE,MAAM,GAAE,EAAE,EAAE,IAAI,mCAAmC,KAAG,KAAK,2BAAyB,KAAK,YAAY,GAAE,KAAG,KAAK,aAAa,KAAK,EAAC,MAAK,EAAE,YAAY,MAAK,OAAM,KAAK,aAAa,KAAK,QAAQ,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,MAAM,oBAAoB,GAAE;AAAC,QAAIA,MAAE,KAAK,cAAc,cAAc,IAAG,eAAe,WAAS,eAAe,aAAa,GAAE,IAAE,KAAK,cAAc,cAAc,IAAG,eAAe,WAAS,eAAe,QAAQ;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,gBAAgB,GAAE,GAAE,GAAEA,KAAE,CAAC,GAAE,KAAK,sBAAsB,mBAAmBA,KAAE,GAAE,GAAE,GAAE,EAAE,GAAE,KAAK,YAAY,GAAE,MAAM,EAAE,SAAS,WAAW,IAAI;AAAE,QAAI,IAAE,IAAI,eAAe,EAAE,eAAe,CAAC,GAAE,IAAE,OAAO,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,EAAE,MAAM,GAAE,KAAK,cAAc,cAAc,GAAE,IAAG,eAAe,WAAS,eAAe,QAAQ,GAAE,KAAK,cAAc,cAAcA,KAAE,IAAG,eAAe,WAAS,eAAe,aAAa,GAAE,IAAE;AAAA,EAAG;AAAA,EAAC,mBAAmB,GAAEA,MAAE,KAAI;AAAC,WAAO,EAAE,EAAE,QAAQ,oBAAoB,KAAG,EAAE,MAAM,OAAG,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,gBAAc,QAAM,EAAE,cAAc,EAAE,KAAK,IAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,UAAU,WAAW,IAAE,KAAK,0BAA0B;AAAA,EAAM;AAAA,EAAC,UAAS;AAAC,SAAK,aAAW,KAAK,cAAc,QAAQ,GAAE,KAAK,eAAe,QAAQ,GAAE,KAAK,WAAS;AAAA,EAAG;AAAC;AAAE,GAAG,aAAW;AAAE,GAAG,KAAG,GAAG,UAAS,YAAS;AAAC,IAAE,EAAE,IAAI,gCAA+B,KAAE;AAAE,MAAI,IAAE,EAAC,iBAAgB,EAAE,EAAE,IAAI,0BAA0B,IAAE,cAAY,mBAAkB,GAAE,IAAE,MAAM,UAAU,IAAI,eAAe,CAAC,GAAEA,MAAE,CAAC;AAAE,IAAE,SAAS,IAAI,+BAA+B,MAAIA,IAAE,mBAAiB,CAAC,+BAA+B;AAAG,MAAI,IAAE,EAAE;AAAO,EAAAA,IAAE,iBAAe,EAAC,gCAA+B,EAAE,gCAA+B,kCAAiC,EAAE,kCAAiC,6BAA4B,EAAE,4BAA2B;AAAE,MAAI,IAAE,MAAM,EAAE,cAAcA,GAAC,GAAE,IAAE,MAAM,EAAE,mBAAmB;AAAE,SAAO,IAAI,GAAG,GAAE,CAAC;AAAC,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,wBAAsB,CAAC,IAAE,yBAAwB,EAAE,EAAE,wBAAsB,CAAC,IAAE,yBAAwB,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,gBAAc,CAAC,IAAE,iBAAgB,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,qBAAmB,EAAE,IAAE,sBAAqB,EAAE,EAAE,MAAI,EAAE,IAAE;AAAK,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAGv1hB,KAAG;AAAA;AAAA;AAAA;AAAA;AAHo1hB,IAOv1hB,MAAI;AAPm1hB,IAOn0hB,MAAI;AAP+zhB,IAOvxhB,MAAI;AAPmxhB,IAO3uhB,MAAI;AAPuuhB,IAOvthB,MAAI;AAPmthB,IAO7rhB,MAAI;AAPyrhB,IAO7phB,MAAI;AAPyphB,IAOpohB,MAAI;AAPgohB,IAOrmhB,MAAI;AAPimhB,IAO3khB,MAAI;AAPukhB,IAO3ihB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAPuihB,IAYz1hB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAZq1hB,IAiCz1hB,MAAI;AAjCq1hB,IAiCh0hB,MAAI;AAjC4zhB,IAiCjyhB,MAAI;AAjC6xhB,IAiCvwhB,MAAI;AAjCmwhB,IAiCvuhB,MAAI;AAjCmuhB,IAiC/rhB,MAAI;AAAA;AAjC2rhB,IAkCvzhB,MAAI;AAlCmzhB,IAkC/whB,MAAI;AAAA;AAlC2whB,IAmCvyhB,MAAI;AAAA,IACpD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AApCu1hB,IA8Cz1hB,MAAI;AAAA;AAAA;AAAA;AAAA,IAIF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlDu1hB,IAkEz1hB,MAAI;AAlEq1hB,IAkEr0hB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAlEi0hB,IAuEz1hB,MAAI;AAAA;AAAA;AAAA,IAGF;AAAA;AAAA;AAAA;AA1Eu1hB,IA6Ez1hB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA7Eq1hB,IAwFz1hB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAsBF;AAAA;AAAA;AA9Gu1hB,IAgHz1hB,MAAI;AAhHq1hB,IAgHzyhB,MAAI;AAAA;AAAA;AAAA;AAhHqyhB,IAmHz1hB,MAAI;AAnHq1hB,IAmHzzhB,MAAI;AAAgB,SAAS,GAAG,GAAE,GAAEA,MAAE,gBAAe;AAAC,MAAI,IAAE,IAAE,KAAG;AAAG,SAAO,IAAE;AAAA,wBACvFA;AAAA,iCACS;AAAA,QAC3B,IAAE;AAAA;AAAA,MAEJ,IAAE;AAAA,aACO;AAAA;AACV;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAM,aAAO,GAAG,SAAQ,CAAC;AAAA,IAAE,KAAK,GAAG;AAAsB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAsB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAQ,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAc,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAQ,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAK,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAW,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAY,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAW,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO,GAAG,OAAM,CAAC;AAAA,IAAE,KAAK,GAAG;AAAI,aAAO,GAAG,OAAM,CAAC;AAAA,IAAE,KAAK,GAAG;AAAI,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAU,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAmB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI;AAAQ,YAAM,IAAI,MAAM,cAAc,uBAAuB;AAAA,EAAC;AAAC;AAAC,IAAI;AAAA,CAAG,SAAS,GAAE;AAAC,IAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,WAAS,EAAE,IAAE,YAAW,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,SAAO,EAAE,IAAE;AAAQ,GAAG,MAAI,IAAE,CAAC,EAAE;AAAE,IAAI,MAAI;AAAR,IAAyB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAA7B,IAK3rD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AALurD,IAU3rD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAVurD,IAe3rD,MAAI;AAfurD,IAepqD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAfgqD,IAoB3rD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AApBurD,IA+B3rD,MAAI;AA/BurD,IA+BrqD,MAAI;AA/BiqD,IA+BhpD,MAAI;AAAA;AAAA;AAAA;AA/B4oD,IAkC3rD,MAAI;AAlCurD,IAkChqD,MAAI;AAlC4pD,IAkCtmD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlCkmD,IAiD3rD,MAAI;AAAA;AAAA;AAAA;AAAA,YAIM,EAAE;AAAA,aACD,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA1D8qD,IAgE3rD,MAAI;AAhEurD,IAgEtqD,MAAI;AAhEkqD,IAgE/oD,MAAI;AAhE2oD,IAgErmD,MAAI;AAhEimD,IAgEzkD,MAAI;AAhEqkD,IAgE7iD,MAAI;AAhEyiD,IAgE7hD,MAAI;AAAA;AAhEyhD,IAiE3qD,MAAI;AAAA;AAAA;AAAA;AAjEuqD,IAoE3rD,MAAI;AApEurD,IAoE5pD,MAAI;AApEwpD,IAoE3oD,MAAI;AApEuoD,IAoE/kD,MAAI;AAAA;AAAA;AAAA;AApE2kD,IAuE3rD,MAAI;AAvEurD,IAuErqD,MAAI;AAvEiqD,IAuE/nD,MAAI;AAvE2nD,IAuE9lD,MAAI;AAvE0lD,IAuEzgD,MAAI;AAAA;AAAA;AAvEqgD,IAyE3rD,MAAI;AAzEurD,IAyEpqD,MAAI;AAzEgqD,IAyEvoD,MAAI;AAAA;AAAA,aAE7C,EAAE;AAAA;AAAA,aAEF,EAAE;AAAA;AAAA;AA7E8qD,IA+E3rD,MAAI;AA/EurD,IA+EjpD,MAAI;AA/E6oD,IA+E3nD,MAAI;AA/EunD,IA+EtmD,MAAI;AAAA;AAAA;AAAA;AA/EkmD,IAkF3rD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlFurD,IAiG3rD,MAAI;AAjGurD,IAiGrqD,MAAI;AAjGiqD,IAiGjpD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAjG6oD,IAuG3rD,MAAI;AAvGurD,IAuGtqD,MAAI;AAAA;AAAA;AAAA;AAvGkqD,IA0G3rD,MAAI;AAAwB,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAU,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAY,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAU,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAW,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAQ,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAS,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI;AAAQ,YAAM,IAAI,MAAM,cAAc,uBAAuB;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,OAAG;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK;AAAE,aAAM;AAAA,IAAM,KAAK;AAAE,aAAM;AAAA,IAAY,KAAK;AAAE,aAAM;AAAA,IAAY,KAAK;AAAE,aAAM;AAAA,IAAY;AAAQ,YAAM,IAAI,MAAM,GAAG,+BAA+B;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,IAAE,OAAGA,MAAE,OAAG,IAAE,GAAE;AAAC,MAAG,MAAI;AAAK,WAAM;AAAG,MAAI,IAAE;AAAG,MAAG,MAAI;AAAS,QAAE,GAAG,EAAE,MAAM;AAAA,WAAU,MAAI;AAAO,QAAE,GAAG,EAAE,MAAKA,GAAC;AAAA,WAAU,MAAI;AAAM,QAAE,GAAG,EAAE,KAAIA,GAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,GAAG,EAAE,OAAMA,GAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,GAAG,GAAG,OAAMA,GAAC;AAAA,WAAU,MAAI;AAAU,QAAE,GAAG,EAAE,SAAQA,GAAC;AAAA,WAAU,MAAI;AAAY,QAAE,GAAG,EAAE,WAAUA,GAAC;AAAA;AAAO,UAAM,IAAI,MAAM,cAAc,oDAAoD;AAAE,MAAI,IAAE,GAAGA,MAAE,IAAE,CAAC,GAAE,IAAE;AAAG,SAAO,IAAE,IAAE;AAAA,0BACjrD,kBAAkB,cAAc;AAAA;AAAA,UAEhD;AAAA,WACD,IAAE;AAAA,0BACe,kBAAkB,cAAc;AAAA,UAChD;AAAA,UACD;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM;AAAA,QAC1B,IAAE,mDAAiD;AAAA,QACnD,IAAE,uCAAqC;AAAA;AACxC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,GAAE;AAAC,IAAE,OAAO,KAAG,MAAI,KAAG,CAAC,GAAE,MAAI,cAAc,2CAA2C,GAAG;AAAE,MAAI,IAAE;AAAA,QAClI,IAAE,mCAAiC;AAAA;AAAA,OAErC,IAAE,IAAE,mCAAiC;AAAiC,SAAM;AAAA,qDAC7B,GAAG,CAAC;AAAA,kBACvC,GAAG,CAAC;AAAA,wBACE;AAAA,MAClBA,OAAG,IAAE,IAAE;AAAA,MACP,IAAE,4DAA0D;AAAA;AAAA,QAE1D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAM6C,GAAG,CAAC;AAAA,wBACjC;AAAA,kBACN,GAAG,CAAC;AAAA,MAChB;AAAA;AAAA;AAAA;AAGH;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,GAAE;AAAC,SAAM;AAAA,IAC9C,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,2DACyC,GAAG,CAAC;AAAA,wBACvC;AAAA,MAClB,KAAG,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,QAIN,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAIX;AAAC,IAAI,MAAI,CAAC,GAAE,MAAI,IAAE;AAAA;AAAA;AAAA,6BAGQ;AAAA,YACnB;AAAA;AAAA;AAAA,qBAGW;AAAA;AAPjB,IAQM,MAAI,CAAC,GAAE,GAAEA,QAAI,IAAE;AAAA,qCACY;AAAA,qCACA;AAAA,qCACA;AAAA,UAC3B,MAAI,IAAE,KAAG,8BAA8B;AAAA,8BACnBA;AAAA;AAAA;AAAA;AAAA,YAIlB,MAAI,IAAE,KAAG;AAAA,aACV;AAAA,8BACmBA;AAAA;AAAA;AAAA;AAAA;AAAA,YAKlB,MAAI,IAAE,KAAG;AAAA;AACV,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,SAAO,EAAE,QAAQA,OAAG,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,CAACA,QAAI,MAAI,KAAG,MAAI,OAAK,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,MAAI,iBAAiBA,iCAA+B,0BAA0B,EAAE,CAAC;AAAA,wCACnQ;AAAA,mBACrB,0CAA0C,EAAE,CAAC,gBAAgB,2CAA2C,EAAE,CAAC,mBAAmB,EAAE,CAAC,cAAc,GAAE;AAAA,4CACxH,WAAW,IAAE,OAAO;AAAA,oDACZ,IAAE,EAAE,CAAC,OAAO;AAAA;AAAA,IAE5D,EAAE;AAAA;AAAA,oBAEc,IAAE,MAAI,cAAc;AAAA;AAAA;AAAA,sBAGlB,IAAE,MAAI,qBAAqB;AAAA;AAAA,kBAE/B,IAAE,MAAI;AAAA,mBACL,KAAG,CAAC,IAAE,UAAQ;AAAA,mBACd,KAAG,CAAC,IAAE,UAAQ;AAAA,gDACe;AAAA;AAAA,qBAE3B,IAAE,GAAG,KAAK,KAAK,IAAE,CAAC,MAAI,6BAA6B;AAAA,mBACrD,IAAE,qBAAqB,MAAI;AAAA;AAAA,gCAEd;AAAA;AAAA;AAAA,gCAGA;AAAA;AAAA;AAAA,4CAGY;AAAA;AAAA;AAAA,cAG9B,IAAIA,KAAE,CAAC;AAAA;AAAA;AAAA;AAAA,4CAIuB;AAAA;AAAA;AAAA;AAAA;AAAA,4BAKhB;AAAA;AAAA;AAAA;AAAA,8BAIE,IAAE;AAAA,yCACS;AAAA,yCACA;AAAA,yCACA;AAAA,cAC3B,MAAI,IAAE,KAAG,8BAA8B;AAAA;AAAA,cAEvC,IAAIA,KAAE,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wCAMiB;AAAA;AAAA;AAAA;AAGpC;AAAC,IAAI,KAAG,OAAG,IAAE;AAAA;AAAA;AAAA;AAAA,YAIP;AAAA;AAAA;AAAA;AAAA;AAJL,IAQK,MAAI,OAAG,IAAE,kDAAgD;AAAgD,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAEA,MAAE,IAAE;AAAE,IAAE,OAAO,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,GAAE,MAAI,cAAc,0CAA0C,EAAE,CAAC,iBAAiB,0CAA0C,EAAE,CAAC,gBAAgB,0CAA0C,EAAE,CAAC,GAAG;AAAE,MAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE;AAAA;AAAA;AAAA,kDAGxb;AAAA,kDACA;AAAA;AAAA;AAAA;AAAA;AAAA,mDAKC,4BAA4B,EAAE,CAAC;AAAA,qDAC7B,4BAA4B,EAAE,CAAC;AAAA,cACtE,GAAGA,GAAC;AAAA;AAAA;AAAA;AAAA,mDAIiC,4BAA4B,EAAE,CAAC;AAAA,yDACzB,4BAA4B,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAM5D;AAAA;AAAA;AAAA;AAAA,mCAIO;AAAA,8BACL;AAAA,wCACU;AAAA,6DACqB,EAAE,CAAC;AAAA;AAAA,8CAElB;AAAA,4BAClBA,MAAE,oCAAoC,EAAE,CAAC,QAAM,iCAAiC,EAAE,CAAC;AAAA,gDAC/D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAQN;AAAA,4DACkB,EAAE,CAAC;AAAA,4CACnB;AAAA,8DACkB,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,UAIzD;AAAA,mCAC2B;AAAA,mCACA;AAAA;AAAA,sCAEG;AAAA,sCACA;AAAA,8CACQ;AAAA;AAAA,oCAEV;AAAA,oCACA;AAAA,oCACA;AAAA;AAAA;AAAA;AAAA,wCAII;AAAA,0CACE;AAAA;AAAA;AAAA,UAGhC,GAAGA,GAAC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAK0B;AAAA,0CACE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAQlB;AAAA;AAAA;AAAA;AAAA,+BAIO;AAAA,0BACL;AAAA,oCACU;AAAA;AAAA;AAAA;AAAA,0CAIM;AAAA,UAChC,IAAIA,GAAC;AAAA,4CAC6B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCASN;AAAA,wCACE;AAAA;AAAA;AAAA;AAAA;AAAA;AAKpC,SAAM;AAAA,gDACsC,OAAO;AAAA,gDACP,OAAO;AAAA;AAAA,MAEjD,EAAE;AAAA,oBACY,IAAE,MAAI;AAAA,qBACL,KAAG,CAAC,IAAE,UAAQ;AAAA,qBACd,KAAG,CAAC,IAAE,UAAQ;AAAA,uBACZ,IAAE,GAAG,KAAK,KAAK,IAAE,CAAC,MAAI,6BAA6B;AAAA,qBACrD,IAAE,qBAAqB,MAAI;AAAA;AAAA,mCAEb,OAAO;AAAA;AAAA;AAAA,0CAGA;AAAA,4CACE;AAAA;AAAA;AAAA;AAAA,QAIpC;AAAA;AAAA;AAEL;AAAC,IAAI,MAAI,OAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAKb;AAAA;AAAA;AAAA;AAAA;AAAA;AAKA,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,IAAE,OAAO,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,MAAI,iDAAiD,IAAI;AAAE,MAAIA,MAAE,EAAE,CAAC,IAAE;AAAE,SAAM;AAAA,gDACnF,EAAE,CAAC;AAAA;AAAA,MAE7C,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,iDAKyCA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAUxBA;AAAA,uCACc,IAAI,CAAC;AAAA;AAAA;AAAA;AAAA,8BAIdA,MAAE;AAAA,2BACLA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAexB;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC;AAAE,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,QAAG,KAAK,UAAQ,IAAE,MAAI,KAAG,CAAC,KAAGA,IAAE,CAAC,IAAE,MAAI,KAAG,MAAIA,IAAE,CAAC,IAAE,MAAI,KAAG,CAAC,GAAE,KAAK,YAAUA,IAAE,CAAC,MAAI,KAAG,CAAC,GAAE,CAAC,KAAK,UAAQ,KAAK;AAAU,WAAK,oBAAkB,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC;AAAA,SAAM;AAAC,UAAI,IAAE,GAAGA,IAAE,CAAC,GAAE,GAAEA,IAAE,CAAC,GAAE,CAAC;AAAE,WAAK,gBAAc,EAAE,eAAc,KAAK,oBAAkB,EAAE;AAAA,IAAiB;AAAC,SAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB;AAAE,QAAI,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,4BAA0B,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,CAAC,KAAK,WAAU,KAAK,WAAU,KAAK,QAAQ,IAAE,KAAK,YAAYA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,CAAC,GAAE,KAAK,YAAU,gBAAgB,KAAK,qBAAqB,KAAK,KAAK,KAAK,cAAc,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,KAAK,UAAU,KAAK,aAAa,KAAK;AAAA,EAA2B;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,KAAC,KAAK,UAAQ,KAAK,YAAU,KAAK,YAAU,KAAK,cAAc,CAAC,IAAE,IAAE,KAAK,YAAU;AAAE,QAAI,IAAE,IAAE,MAAI,GAAE,IAAEA,MAAE,MAAI,GAAE,IAAE,IAAE,KAAK,cAAY;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACt5C,GAAG,KAAK,YAAW,KAAK,2BAA0B,KAAK,MAAM;AAAA,QAC7D,GAAG,KAAK,SAAQ,KAAK,YAAW,OAAG,KAAK,YAAW,KAAK,WAAU,KAAK,WAAU,KAAK,UAAS,KAAK,SAAO,IAAE,CAAC;AAAA,QAC9G,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,KAAK,WAAU,OAAG,MAAK,KAAK,WAAU,IAAE,IAAE,KAAK,YAAU,IAAI,KAAK,eAAc,KAAK,UAAU,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,KAAK,WAAU,OAAG,MAAK,KAAK,2BAA0B,IAAE;AAAA;AAAA,EAClS;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,SAAM;AAAA,4CACc;AAAA,MACtC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDASiD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQ3B,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAc7B;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa;AAAE,QAAI,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,aAAWA,KAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,YAAU,gBAAgB,KAAK,cAAcA,OAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC7lB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,QACjD,GAAG,KAAK,SAAQ,KAAK,YAAW,KAAK,YAAW,KAAK,UAAU;AAAA,QAC/D,IAAI,KAAK,cAAc,CAAC,CAAC;AAAA;AAAA,EAC5B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAEA,MAAE,EAAE,CAAC,GAAE,IAAE,IAAEA,MAAE,IAAEA;AAAE,SAAM;AAAA,8CACZ,OAAO;AAAA,8CACPA,SAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAQjD,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+CAUyC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQf;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAYE;AAAA,kCACA;AAAA;AAAA,4BAEN;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAQzB;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,KAAK,cAAc,CAAC,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,KAAK,cAAc,CAAC,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM;AAAE,QAAI,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,YAAU,yBAAyB,KAAK,cAAc,KAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACpoB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,QACjD,GAAG,KAAK,SAAQ,KAAK,YAAW,KAAK,YAAW,KAAK,UAAU;AAAA,QAC/D,IAAI,KAAK,aAAa;AAAA;AAAA,EACzB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,SAAO,OAAG,KAAK,kBAAgB,KAAI,EAAE,OAAO,EAAE,CAAC,MAAI,GAAE,MAAI,8CAA8C,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,UAAQ,KAAG,KAAK,YAAY,CAAC,IAAE,MAAI,KAAG,CAAC,KAAGA,MAAE,MAAI,MAAI,KAAK,YAAY,CAAC,IAAE,MAAI,GAAE,KAAK,oBAAkB,CAAC,GAAE,GAAE,KAAK,eAAe,GAAE,KAAK,WAAS,KAAK,YAAY,CAAC,IAAE,OAAK,KAAK,kBAAkB,CAAC,IAAE,IAAG,KAAK,YAAY,CAAC,IAAE,OAAK,KAAK,kBAAkB,CAAC,IAAE,KAAI,KAAK,WAAS,EAAE,KAAK,gBAAe,CAAC,KAAK,YAAY,CAAC,GAAE,KAAK,YAAY,CAAC,GAAE,KAAK,YAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,YAAU,gBAAgB,KAAK,KAAK,KAAK,qBAAqB,KAAK;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,SAAO,IAAE;AAAE,WAAM;AAAA,QAC14B,GAAG,OAAG,KAAK,YAAW,OAAG,OAAG,OAAG,CAAC;AAAA,gEACwB,GAAG,CAAC;AAAA,4BACxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAMI;AAAA,cAClB,GAAG,0BAAyB,GAAG,IAAE,IAAE,aAAW,WAAU,SAAS;AAAA;AAAA;AAAA;AAAA,QAIvE,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,IAAG,MAAG,KAAK,eAAe,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,IAAG,MAAG,KAAK,eAAe;AAAA;AAAA,EAC/L;AAAC;AAfE,IAeA,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,UAAQA,OAAG,MAAK,KAAK,4BAA0B,KAAG,MAAK,KAAK,aAAW,GAAE,KAAK,WAAS,KAAK,cAAc,KAAK,MAAM,GAAE,KAAK,6BAA2B,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,YAAU,kBAAkB;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC9gB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,MACjD,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,UAIL,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA,EAIpC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,gBAAe,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC7T,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKZ;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAEA;AAAE,MAAG,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,MAAI,UAAS;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,SAAO,EAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF,GAAE,EAAE,QAAQ,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,KAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,GAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,EAAE,IAAI,4BAA4B;AAAE,MAAG,IAAE,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,UAAU,oDAAoD,GAAE,IAAE,IAAE,IAAE,IAAE,EAAE,+BAA8B,IAAE,IAAE,KAAK,KAAK,IAAE,EAAE,IAAE,KAAK,KAAK,IAAE,EAAE;AAAE,SAAG,KAAG,KAAG,KAAG,KAAG,IAAE,IAAE,IAAE,IAAE,KAAG,MAAI,IAAE,GAAG,sBAAoB,MAAI,KAAG,KAAG,MAAI,IAAE,GAAG,sBAAoB,IAAE,GAAG,+BAA6B,IAAE,GAAG;AAAA,EAAmB;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAoB,UAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM,KAAK,GAAG,qBAAoB;AAAC,UAAG,IAAE,GAAG,EAAC,SAAQ,GAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,CAAC,GAAE,KAAG,GAAE;AAAC,YAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,YAAI,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,MAAK,KAAG,CAAC,CAAC;AAAE,aAAG,GAAG,KAAK,CAAC,GAAE,KAAG,GAAG,KAAK,CAAC,GAAE,MAAI,gBAAc,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU;AAAiB,YAAI,KAAG,EAAE,iBAAiB,GAAE,IAAG,EAAE,OAAM,CAAC;AAAE,UAAE,KAAK,CAAC;AAAE,YAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,UAAE,KAAK,EAAE;AAAE,iBAAQ,MAAM;AAAE,YAAE,YAAY,GAAG,MAAM;AAAE,eAAO;AAAA,MAAC;AAAC;AAAA,IAAK;AAAA,IAAC,KAAK,GAAG;AAA6B,UAAE,IAAI,GAAG,GAAE,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM,KAAK,GAAG;AAAoB,UAAI,IAAE,EAAE,YAAY,QAAQ;AAAE,UAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM;AAAQ,YAAM,IAAI,MAAM,iCAAiC,IAAI;AAAA,EAAC;AAAC,OAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU,kBAAiB,IAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,SAAQ,OAAO,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,mBAAmB,KAAI,KAAK,KAAG;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA,UAG/pH,GAAG,KAAK,IAAG,KAAE;AAAA;AAAA;AAAA,QAGf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,KAAG,GAAE,KAAK,uBAAqBA,IAAE,UAAQ,KAAG,EAAE,SAAO,KAAGA,IAAE,CAAC,IAAE,KAAI,KAAK,uBAAqB,EAAE,UAAQ,KAAGA,IAAE,SAAO,KAAG,EAAE,CAAC,IAAE,KAAI,KAAK,wBAAsB,KAAK,wBAAsB,KAAK,SAAO,OAAG,KAAK,oBAAkB,KAAK,uBAAqB,EAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,KAAK,YAAU,UAAU,KAAK,QAAQ,KAAK,KAAK,qBAAqB,KAAK,wBAAuB,KAAK,OAAK,UAAS,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,gBAAc,MAAI,EAAE,YAAYA,KAAE,CAAC,KAAG,EAAE,cAAcA,GAAC,IAAE,MAAI,KAAG,KAAK,SAAO,MAAG,KAAK,OAAK,QAAO,KAAK,gBAAc,MAAI,KAAK,SAAO,OAAG,KAAK,OAAK,SAAQ,KAAK,gBAAc,IAAG,KAAK,YAAU,UAAU,KAAK,QAAQ,KAAI,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,IAAG,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,QAAI,GAAEA,MAAE,KAAK,SAAO,cAAY,OAAM,IAAE;AAAA,6BACv7BA,YAAUA,WAASA;AAAA;AAAA;AAAA,UAGtC,GAAG,KAAK,IAAG,KAAK,MAAM;AAAA;AAAA;AAAA;AAG1B,QAAG,KAAK,SAAO,UAAS;AAAC,UAAI,IAAE,KAAK,oBAAkB,IAAE,UAAU,KAAK,YAAY,SAAO,OAAK,KAAI,IAAE,KAAK,uBAAqB;AAAA,8BACvG,QAAM,qBAAqB;AAAA;AACZ,UAAE;AAAA,UACrC;AAAA,gDACsC,KAAK;AAAA,UAC3C,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGS,KAAK;AAAA,0CACS,KAAK,uBAAqB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM1D;AAAA;AAAA;AAAA;AAAA;AAAA,IAIL;AAAM,UAAE;AAAA,SACR;AAAA,SACA,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAOT,WAAO;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,GAAEA,IAAC,IAAE;AAAE,SAAO,EAAE,QAAQ,OAAOA,IAAE,MAAM,GAAE,EAAC,QAAOA,IAAE,QAAO,OAAMA,IAAE,OAAM,OAAMA,IAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,IAAG;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE;AAAI,SAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,KAAGA,KAAE,MAAI,OAAK,KAAK,WAAS,IAAG,KAAK,YAAU,SAASA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA,UAEvyB,GAAG,KAAK,IAAG,KAAE;AAAA;AAAA,QAEf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMV;AAAC;AAAE,SAAS,GAAG,EAAC,QAAO,GAAE,eAAc,GAAE,OAAMA,IAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,GAAE,IAAEA,OAAG,EAAE;AAAM,QAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,EAAE,QAAO,CAAC;AAAE,aAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,EAAC,QAAO,GAAE,eAAc,GAAE,iBAAgBA,MAAE,OAAG,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAGA,OAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,GAAE;AAAE,UAAG,MAAI,GAAG;AAAI,SAAC,GAAE,CAAC,IAAE,CAAC,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,GAAE,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAI,OAAG;AAAC,cAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,iBAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAA,QAAC,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,IAAI,GAAG,GAAG,uBAAsB,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAG,uBAAsB,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,CAAC;AAAE,YAAE,EAAE,iBAAiB,GAAE,GAAE,SAAS,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,SAAS;AAAA,MAAC;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAG,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAI,EAAE,UAAQ,YAAU,EAAE,UAAQ,YAAU,EAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,MAAI,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,aAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAG,EAAC,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,YAAW,IAAG,WAAU,IAAG,SAAQ,IAAG,WAAU,IAAG,WAAU,IAAG,cAAa,IAAG,cAAa,IAAG,kBAAiB,IAAG,aAAY,IAAG,eAAc,IAAG,UAAS,IAAG,SAAQ,IAAG,SAAQ,IAAG,aAAY,IAAG,aAAY,IAAG,cAAa,IAAG,SAAQ,IAAG,cAAa,IAAG,UAAS,IAAG,WAAU,IAAG,WAAU,IAAG,aAAY,IAAG,eAAc,IAAG,WAAU,IAAG,kBAAiB,IAAG,kBAAiB,IAAG,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,eAAc,IAAG,YAAW,IAAG,IAAE;AAAG,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,GAAE,CAAC;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA9D,IAAgE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAACA,KAAE,MAAI,IAAI,GAAG,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,QAAQ,UAAU,0BAA0B;AAAA,IAAC,CAAC;AAAE,QAAIA,MAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,WAAM;AAAA,QACzsG,EAAE,OAAO;AAAA,8BACa,KAAK;AAAA,oCACC,KAAK;AAAA;AAAA;AAAA,cAG3B,EAAE,KAAK;AAAA,SACZ;AAAA,0CACiCA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIrC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,CAAC,GAAE,MAAI,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,IAAG,CAAC;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAiB;AAAA,EAAC,cAAa;AAAC,MAAE,OAAO,KAAK,cAAc,CAAC,MAAI,KAAK,cAAc,CAAC,GAAE,MAAI,gDAAgD,KAAK,cAAc,CAAC,OAAO,KAAK,cAAc,CAAC,GAAG;AAAE,QAAI,IAAE,KAAK,cAAc,CAAC;AAAE,WAAM;AAAA,+CACrvB,KAAK,cAAc,CAAC,IAAE,OAAO,KAAK,cAAc,CAAC;AAAA,QACxF,EAAE;AAAA,uCAC6B;AAAA,uCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQJ;AAAA,mCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAM9B;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,SAAOA,KAAE,KAAK,YAAU,aAAaA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,GAAG,KAAK,YAAY,MAAM,GAAEA,MAAE,IAAI,KAAK,MAAM;AAAE,WAAM;AAAA,QAC5c,EAAE,OAAO;AAAA,6BACY,KAAK;AAAA,oCACE,KAAK;AAAA;AAAA;AAAA,8DAGqB,KAAK,YAAY;AAAA,gBAC/D,KAAKA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIhB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,sBAAsB,wBAAwB;AAAE,MAAIA,MAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,EAAE,CAAC,CAAC,IAAE,SAAS,GAAG,CAAC;AAAI,SAAOA,IAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAE,MAAM,WAAS,KAAG,EAAE,YAAY,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,qBAAoB,KAAK,OAAK,MAAG,KAAK,aAAW,CAAC,EAAE,WAAU,EAAE,MAAM;AAAE,QAAG,CAAC,CAAC,IAAE,EAAE,0BAA0B,KAAK,YAAW,CAAC,CAAC,CAAC;AAAE,SAAK,cAAY,EAAE,WAAS,IAAE,CAAC,CAAC,IAAE,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,KAAK,aAAWA,KAAE,KAAK,YAAU,UAAUA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAGA,MAAE,OAAM,IAAE,KAAK,cAAc,CAAC;AAAE,SAAK,eAAa,SAAO,KAAK,eAAa,SAAO,IAAE;AAAA;AAAA;AAAA,qDAGzpC,KAAK,eAAa,QAAM,MAAI;AAAA,yCACzCA,MAAE,oBAAkB,KAAK,eAAa,SAAO,KAAK,eAAa,SAAO,IAAE,yCAAuC,KAAK,eAAa,UAAQ,IAAE,wCAAuCA,MAAE,SAAO,KAAK,eAAa,SAAO,IAAE,4DAA2DA,MAAE,SAAO,KAAK,eAAa,UAAQ,IAAE,4DAA2DA,MAAE;AAAO,QAAI,IAAE,KAAK,eAAa,SAAO,yEAAuE;AAA4C,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,SAKjjB;AAAA,mDAC0C;AAAA;AAAA;AAAA;AAAA,wBAI3B,KAAK,YAAY,WAAS,IAAE,iBAAe;AAAA;AAAA;AAAA,SAG1D,EAAE,OAAO;AAAA,qCACmB;AAAA;AAAA,2BAEVA;AAAA;AAAA,qDAE0B;AAAA;AAAA,uBAE9B;AAAA;AAAA,aAEV;AAAA;AAAA;AAAA;AAAA;AAAA,6CAKgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM/B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAQF;AAAA;AAAA;AAAA;AAAA,EAGN;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,2BAA2B,GAAE,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,EAAAA,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI;AAAE,OAAI,MAAI,SAAO,MAAI,WAAS,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAO,YAAO,GAAE;AAAA,MAAC,KAAI;AAAM,YAAI,IAAE,GAAG,GAAE,EAAE,cAAc,CAAC,GAAE,GAAE,EAAE,KAAK;AAAE,YAAE,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE;AAAA,MAAM,KAAI;AAAO,YAAG,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,YAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAE;AAAA,MAAM;AAAQ,cAAM,IAAI,MAAM,GAAG,4CAA4C;AAAA,IAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,SAAQ,EAAC,GAAE,IAAE,MAAI,SAAO,YAAU,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAG,EAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wBAAuB,KAAK,OAAK;AAAG,QAAI,IAAE,CAACA,GAAC;AAAE,SAAK,KAAG,MAAI,QAAM,MAAI;AAAI,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC;AAAE,SAAK,cAAY,EAAE,WAAS,IAAE,CAAC,CAAC,IAAE,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,EAAE,cAAc,CAAC,IAAE,MAAI,EAAE,cAAc,CAAC,IAAE,OAAK,KAAK,OAAK,SAAQ,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,MAAI,KAAK,OAAK,UAAS,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,GAAE,GAAE,CAAC,CAAC,IAAG,KAAK,aAAW,GAAE,KAAK,YAAU,aAAa,KAAK,MAAM,KAAK;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAc,CAAC,GAAEA,MAAE,MAAI,KAAK,WAAW,WAAS,IAAE,oBAAkB,mBAAmB,GAAG,KAAK,WAAW,SAAO,CAAC,KAAI,IAAE,MAAI;AAAC,UAAI,IAAE;AAAG,UAAG,KAAK,YAAY,WAAS;AAAE,aAAK,WAAW,WAAS,MAAI,KAAG;AAAA;AAAsB,iBAAQ,IAAE,GAAE,IAAE,KAAK,YAAY,QAAO;AAAI,eAAG,gBAAgB,GAAG,CAAC;AAAK,aAAO;AAAA,IAAC;AAAE,WAAO,KAAK,SAAO,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,QAKzvE;AAAA,iDACyC;AAAA,gDACD;AAAA;AAAA;AAAA,QAGxC,EAAE,OAAO;AAAA,oCACmB;AAAA,6BACPA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAMT;AAAA,iCACW,EAAE;AAAA,+CACY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kDASF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAMtB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAc3B;AAAA,QACE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,iCAIgB,EAAE;AAAA,+BACJA,IAAE;AAAA;AAAA,mCAEE,EAAE;AAAA,4BACT,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ1B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,CAAC,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,CAAC,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,MAAK,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,4GAA2G,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,UAAUA,OAAI,KAAK,WAASA;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE;AAAyC,SAAK,aAAW,UAAQ,IAAE;AAA2D,QAAIA,MAAE;AAAc,WAAO,KAAK,aAAW,UAAQA,MAAE,kCAAiC;AAAA,QACpnE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQa,KAAK,aAAW,QAAM,QAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAiB1C;AAAA;AAAA;AAAA;AAAA,oCAIoBA;AAAA;AAAA;AAAA;AAAA,EAG/B;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,uBAAsB,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAA6B;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAClV,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcZ;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,QAAOA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAG,EAAE,gBAAc,EAAE,WAAS,EAAE,iBAAe,EAAE,YAAU,EAAE,cAAY,KAAG,EAAE,QAAQ,SAAO,SAAQ;AAAC,QAAI,IAAE,EAAE,MAAM,QAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,EAAE,MAAM,IAAE,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE;AAAE,IAAAA,QAAI,QAAM,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,KAAG,EAAE,OAAOA,QAAI,OAAM,MAAI,qBAAqBA,KAAG,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC;AAAG,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,WAAO,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAe,KAAG,EAAE,gBAAc,IAAE,IAAE,IAAI,GAAG,CAAC,KAAGA,QAAI,QAAM,IAAE,IAAI,GAAG,GAAE,KAAK,KAAG,EAAE,OAAOA,QAAI,OAAM,MAAI,qBAAqBA,KAAG,GAAE,IAAE,IAAI,GAAG,GAAE,KAAK,IAAG,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC,IAAG,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,WAAS;AAAA,+DACtrD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAqB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACrS,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqCZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,KAAG,EAAE,eAAa,EAAE,cAAa,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,wBAAsB,IAAE,EAAE,QAAQ,KAAI,EAAE,uBAAqB,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,OAAKA,IAAE,QAAO,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,QAAM,GAAE,KAAK,WAAS,WAAW,GAAG,EAAE,MAAM,OAAM,KAAK,YAAU;AAAA,EAAO;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,GAAG,KAAK,IAAI,GAAEA,MAAE,IAAI,KAAK,IAAI,GAAE;AAAE,WAAO,KAAK,MAAM,WAAS,IAAE,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,MAAI,sCAAsC,IAAE,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,MAAI,aAAa,GAAG,CAAC,sBAAsB,GAAG,CAAC,cAAc,GAAG,CAAC,IAAI,GAAE;AAAA,QACv/C,EAAE,OAAO;AAAA;AAAA,4BAEW;AAAA;AAAA,YAEhB,EAAE,KAAK;AAAA,CAClB;AAAA,8CAC6CA;AAAA;AAAA;AAAA;AAAA,EAGzC;AAAC;AAVu4B,IAUr4B,KAAG,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,KAAG;AAAE,WAAO,GAAG,MAAM,GAAE,CAAC,EAAE,IAAI,OAAG,aAAa,GAAG,EAAE,KAAK,GAAG;AAAE,QAAM,MAAM,oBAAoB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,MAAG,GAAG,kBAAkB,GAAE,GAAE,CAAC,GAAEA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,QAAO,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,uEAAuE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAA7oB,IAA+oB,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA,MAEt4C,GAAG,kBAAiB,SAAQ,SAAS;AAAA;AAAA;AAFy1C,IAIl4C,MAAI;AAAA;AAAA;AAAA;AAAA;AAJ83C,IAQl4C,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,uBAAsB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,aAAW,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,eAAa,GAAE,MAAI,KAAK,SAAO,QAAI,KAAK,aAAWA,KAAE,KAAK,cAAY,KAAK,cAAc,KAAK,GAAG,GAAE,KAAK,YAAU,YAAY,KAAK,cAAc,KAAK,gBAAgB,KAAK;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACliB,KAAK,eAAa,MAAI;AAAA,IACxB,EAAE,OAAO;AAAA,MACP,KAAK,SAAO,IAAE;AAAA;AAAA;AAAA,sBAGE,KAAK,eAAa,IAAE,KAAK,aAAW,gBAAc;AAAA;AAAA;AAAA,SAGjE;AAAA;AAAA;AAAA;AAAA,sBAIe,KAAK,eAAa,IAAE,KAAK,aAAW,6BAA2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlF;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,WAAU,OAAM,QAAO,eAAc,GAAE,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,QAAO,EAAE,uBAAuB,QAAO,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiC,EAAE,YAAY,GAAG;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,+BAA8B,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAU;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACpvE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,+BAA8B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACzT,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,cAAc,EAAE,KAAK,IAAE,MAAI,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,gBAAgB,GAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAACA,KAAE,MAAI,IAAI,GAAG,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,eAAa,EAAE,SAAO;AAAE,aAAQA,MAAE,GAAEA,MAAE,KAAK,cAAaA;AAAI,WAAK,YAAU,SAASA;AAAW,SAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC;AAAE,QAAG,KAAK,eAAa,GAAE;AAAC,QAAE,KAAK,qFAAqF;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,cAAa;AAAI,UAAE,KAAK,gCAAgC,CAAC,CAAC,iDAAiD,6BAA6B,IAAE,QAAQ;AAAE,UAAI,IAAE,KAAK,cAAa,IAAE,KAAK,eAAa;AAAE,QAAE,KAAK,oDAAoD,6BAA6B,QAAQ;AAAA,IAAC;AAAM,QAAE,KAAK,uDAAuD;AAAE,WAAM;AAAA,QACjxC,EAAE,OAAO;AAAA,6BACY,KAAK;AAAA,oCACE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM3B,EAAE,KAAK;AAAA,SACZ;AAAA;AAAA;AAAA;AAAA;AAAA,EAIJ;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,EAAE;AAAM,MAAG,MAAI,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,mBAAmB,CAAC;AAAE,MAAG,MAAI,aAAW,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,OAAO,OAAO,kCAAgC;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC;AAAE,QAAE,KAAK,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,WAAO;AAAA,EAAC;AAAC,MAAG,EAAC,WAAU,GAAE,UAAS,EAAC,IAAE,IAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,MAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,CAAC,EAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,iBAAiB,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,IAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,SAAM,EAAC,WAAU,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,MAAM,MAAM,GAAE,CAAC,CAAC,GAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAC,EAAC,CAAC,CAAC,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,WAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAAuB,KAAK;AAAE,eAAM;AAAA,MAAgE,KAAK;AAAE,eAAM;AAAA,MAA2B;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAA8C,KAAK;AAAE,eAAM;AAAA,MAAkD;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE,IAAE;AAAA;AAAA,UAE7qF;AAAA;AAAA,SAEA,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAMA,IAAE,IAAE,uBAAqB,sBAAqB,IAAE,IAAE,uBAAqB,sBAAqB,IAAE,IAAE,QAAM,OAAM,IAAE,IAAE,QAAM,OAAM,IAAE;AAAA;AAAA,uBAE/G,IAAE,yBAAuB;AAAA,qBAC3B;AAAA,qBACA;AAAA;AAAA,mBAEF;AAAA,mBACA;AAAA;AAAA;AAAA,kBAGD;AAAA,sBACI,GAAG,CAAC;AAAA;AAAA;AAAA,gCAGM,4BAA4B;AAAA,UAClD;AAAA;AAAA,UAEA,EAAE,CAAC;AAAA;AAAA,wBAEU,IAAE,IAAE,KAAG,IAAE;AAAA,0BACN;AAAA,QAClB,MAAI;AAAA,0BACc;AAAA;AAAA,UAEhB;AAAA;AAAA,eAEK,GAAG,CAAC,YAAU,KAAGA,MAAE;AAAA,0BACR;AAAA,QAClB,MAAI;AAAA,0BACc;AAAA;AAAA,UAEhB;AAAA;AAAA,eAEK,GAAG,CAAC,WAAU,IAAE,GAAG,EAAE,CAAC,KAAI,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAG,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAG,CAAC,IAAE,GAAG,CAAC;AAAE,SAAM;AAAA,QAC/E,GAAG,GAAE,GAAE,MAAI,GAAE,CAAC;AAAA,2DACqC;AAAA,UACjD,IAAE,IAAE;AAAA;AAAA;AAAA,2DAG6C;AAAA,UACjD,IAAE,IAAE;AAAA;AAAA;AAAA,kEAGoD;AAAA,4BACtC;AAAA;AAAA;AAAA;AAAA,yBAIH,IAAE,yBAAuB;AAAA,UACxC;AAAA,UACA,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGR;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,wIAAuI,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,WAAS,EAAE,aAAW,MAAI,KAAG,EAAE,aAAW,MAAI,MAAI,KAAK,kBAAgB,EAAE,WAAS,MAAI,KAAG,CAAC,KAAK,mBAAiB,EAAE,cAAY,MAAI,GAAE,KAAK,iBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,IAAE,EAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,gBAAc,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,oBAAkB,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,UAAQ,KAAK,kBAAgB,EAAE,aAAW,MAAI,KAAG,KAAK,mBAAiB,GAAE,KAAK,gBAAc,CAAC,OAAM,WAAW,MAAI,KAAK,mBAAiB,GAAE,KAAK,gBAAc,CAAC,aAAY,WAAW,IAAG,MAAI,KAAK,cAAc,KAAK,MAAM,GAAE,KAAK,cAAc,KAAK,WAAW,IAAG,MAAI,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,cAAc,KAAK,WAAW,OAAK,KAAK,mBAAiB,KAAK,kBAAkB,CAAC,GAAE,KAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,IAAG,KAAK,4BAA0B,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,aAAW,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,KAAK,aAAW,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,KAAK,YAAU,KAAK,IAAI,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAiB,KAAK,cAAc,CAAC,CAAC,GAAE,KAAK,YAAUA,MAAE,KAAK,eAAa,GAAE,KAAK,YAAU,IAAE,KAAK,eAAa,GAAE,KAAK,WAAS,IAAE,KAAK,cAAY,GAAE,KAAK,YAAU,YAAY,KAAK,qBAAqB,KAAK,eAAe,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,KAAK,UAAU,KAAK,oBAAoB,KAAK,kBAAkB,KAAK;AAAA,EAA2B;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,eAAc,CAAC,KAAK,gBAAe,KAAK,SAAS,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,CAAC,KAAK,gBAAe,KAAK,WAAU,OAAG,MAAK,KAAK,yBAAyB,GAAEA,MAAE,KAAK,SAAO,CAAC,KAAK,kBAAiB,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,WAAM;AAAA,MACtqE,IAAI,KAAK,gBAAe,KAAK,WAAU,KAAK,WAAU,KAAK,UAAS,KAAK,SAAQ,KAAK,YAAW,KAAK,2BAA0BA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAA,MAC9I;AAAA;AAAA,EACH;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,kFAAiF,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,iBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,IAAE,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAEA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,YAAU,eAAe,KAAK,cAAc,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SACjqB,GAAG,KAAK,YAAW,KAAK,2BAA0B,OAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAkBvC,KAAK,iBAAe,sCAAoC;AAAA;AAAA;AAAA,aAGnE,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA,SAInC,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGU,KAAK,iBAAe,eAAa;AAAA,wBACrC,KAAK,iBAAe,eAAa;AAAA,wBACjC,KAAK,iBAAe,eAAa;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iDAMR,KAAK,iBAAe,wBAAsB;AAAA,iBAC1E,KAAK,iBAAe,kDAAgD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ/E;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS;AAAA,2BACpD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAeA,KAAE,KAAK,YAAU,UAAU,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,IAAE,GAAEA,MAAE,KAAK,iBAAe,IAAE,GAAE,IAAE,KAAK,iBAAe,cAAY,aAAY,IAAE,KAAK,iBAAe,cAAY,aAAY,IAAE,KAAK,iBAAe,gCAA8B;AAA8B,WAAM;AAAA,MACjgB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,oBAIK;AAAA,oBACA;AAAA;AAAA;AAAA;AAAA,oCAIgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAMEA;AAAA,sBAChB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMlB;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAOA,OAAG,IAAE,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,KAAGA,QAAI,KAAG,EAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,CAAC,IAAE;AAAI;AAAC,SAAS,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAEA,IAAE,eAAa,gBAAe,IAAE,CAAC,GAAE,IAAE,OAAG,IAAE,KAAGA,IAAE,iBAAeA,IAAE,YAAUA,IAAE,gBAAcA,IAAE,WAASA,IAAE,QAAQ,SAAO,SAAQ,IAAE,CAAC,GAAE,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAEA,IAAE,WAASA,IAAE,UAAQA,IAAE;AAAW,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,WAAU,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAEA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,IAAE,CAACA,IAAE,WAAUA,IAAE,WAASA,IAAE,SAAQA,IAAE,UAAU,IAAE,CAACA,IAAE,WAAUA,IAAE,YAAWA,IAAE,WAASA,IAAE,OAAO,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAE,MAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAG,EAAC,aAAY,GAAE,cAAa,GAAE,YAAW,GAAE,aAAY,GAAE,cAAa,GAAE,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,eAAc,GAAE,gBAAe,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,KAAI,EAAE,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,EAAE,EAAC,EAAC,CAAC;AAAE,MAAG,EAAE,KAAK,CAAC,GAAE,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,CAAC,GAAE,YAAW,OAAG,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAEA,IAAE,eAAa,gBAAe,IAAE,KAAGA,IAAE,iBAAeA,IAAE,YAAUA,IAAE,gBAAcA,IAAE,WAASA,IAAE,QAAQ,SAAO,SAAQ,IAAE,EAAE,EAAE,QAAQ,+BAA+B;AAAE,MAAG,CAAC,MAAI,KAAGA,IAAE,iBAAe,KAAGA,IAAE,gBAAc,KAAGA,IAAE,mBAAiB,KAAGA,IAAE,kBAAgB,KAAGA,IAAE,iBAAe,KAAGA,IAAE,gBAAc,MAAIA,IAAE,QAAQ,SAAO,UAAQA,IAAE,QAAQ,SAAO;AAAU,WAAO,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,UAAU,oDAAoD,GAAE,IAAE,IAAE,IAAE,IAAE,EAAE,+BAA8B,IAAEA,IAAE,YAAU,KAAK,KAAKA,IAAE,YAAUA,IAAE,WAAS,EAAE,IAAE,KAAK,KAAKA,IAAE,cAAY,EAAE;AAAE,MAAG,EAAE,EAAE,QAAQ,oCAAoC,KAAG,KAAG;AAAE,WAAO,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAE,MAAI,GAAE,IAAE,CAACA,IAAE,QAAQ,KAAIA,IAAE,QAAQ,IAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,cAAaA,IAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAG,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,cAAaA,IAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,gBAAeA,IAAE,aAAa,EAAC,CAAC;AAAE,MAAG;AAAE,QAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAEA,IAAE,YAAUA,IAAE,WAASA,IAAE,aAAY,IAAE,IAAEA,IAAE,cAAYA,IAAE,YAAUA,IAAE,UAAS,IAAEA,IAAE,eAAaA,IAAE,cAAYA,IAAE;AAAW,MAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAI,IAAE,EAAE,YAAY,QAAQ;AAAE,QAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC;AAAE,QAAI,CAAC,KAAG,EAAE,MAAM,WAAS,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,KAAK,CAAC,IAAG,MAAI,CAAC,KAAG,EAAE,MAAM,WAAS,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,KAAK,CAAC,IAAG,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU;AAAiB,MAAI,IAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQ,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,WAAS,0FAAyF,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,YAAU,kBAAkB,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,IAAE,GAAEA,MAAE,KAAK,iBAAe,IAAE,GAAE,IAAE,KAAK,iBAAe,IAAE;AAAE,WAAM;AAAA,MAC9iK,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,0BAIW;AAAA;AAAA,0CAEgB,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBA0BpC,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAgBtB;AAAC;AAjD0gJ,IAiDxgJ,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,WAAS,yHAAwH,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,aAAY,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,YAAU,mBAAmB,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACpf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAyBK,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAetB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,OAAO,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,IAAE,GAAE;AAAC,MAAI,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAA0D,KAAK;AAAE,eAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASnsB;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE;AAAA,UAC3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iBASO,GAAG,CAAC;AAAA;AAAA;AAAA,iBAGJ,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8DAOyC;AAAA;AAAA,eAE/C,GAAG,CAAC;AAAU,SAAM;AAAA,uDACoB,GAAG,CAAC;AAAA,wBACnC;AAAA,MAClB;AAAA;AAAA;AAAA,uDAGiD,GAAG,CAAC;AAAA,wBACnC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAShB,EAAE,CAAC;AAAA;AAAA,aAEE,GAAG,CAAC;AAAA;AAAA;AAAA,iEAGgD,GAAG,CAAC;AAAA,wBAC7C;AAAA,6CACqB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iEAOkB;AAAA;AAAA;AAE7D;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,4IAA2I,KAAK,cAAY,EAAE,SAAQ,EAAE,OAAO,EAAE,eAAa,gBAAe,MAAI,6BAA6B,GAAE,KAAK,SAAO,EAAE,aAAW,MAAI,KAAG,EAAE,cAAY,MAAI,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,gBAAc,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,oBAAkB,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,WAAS,KAAK,gBAAc,CAAC,aAAY,KAAK,IAAG,KAAK,YAAU,oBAAoB,KAAK,UAAU,KAAK;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,aAAa,IAAE,GAAG,KAAK,mBAAkB,KAAK,aAAa;AAAE,WAAM;AAAA,MAC34B,IAAI,KAAK,SAAO,IAAE,CAAC;AAAA,MACnB;AAAA;AAAA,EACD;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,eAAa,IAAE,EAAE,QAAQ,KAAI,EAAE,cAAY,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,UAAS,EAAE,WAAW,EAAC,CAAC,GAAE;AAAE,MAAG,EAAE,EAAE,QAAQ,mCAAmC,KAAG,EAAE,gBAAc,KAAG,EAAE,eAAa,KAAG,EAAE,eAAa,MAAI,EAAE,eAAa;AAAE,QAAE,IAAI,GAAG,CAAC;AAAA,OAAM;AAAC,QAAE,IAAI,GAAG,CAAC;AAAE,QAAI,IAAE,EAAE,WAAS,EAAE,SAAQ,IAAE,EAAE,YAAW,IAAE,EAAE,eAAa,EAAE,cAAY,EAAE;AAAY,MAAE,KAAK,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,QAAQ,GAAE,KAAK,WAAS,6BAA4B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAG,CAAC,CAAC,IAAEA;AAAE,SAAK,cAAY,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,MAAI,aAAW,IAAE,GAAE,KAAK,wBAAsB,KAAK,YAAY,CAAC,IAAE,GAAE,KAAK,uBAAqB,KAAK,YAAY,CAAC,IAAE,GAAE,KAAK,YAAU,iBAAiB,KAAK,YAAY,KAAK,yBAAyB,KAAK;AAAA,EAAsB;AAAA,EAAC,cAAa;AAAC,QAAG,CAAC,GAAEA,GAAC,IAAE,CAAC,mCAAkC,iCAAiC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAK,wBAAsB,CAAC,IAAI,sCAAqC,0BAAyB,MAAM,2BAA2B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAK,uBAAqB,CAAC,IAAIA,wCAAqC,yBAAwB,MAAMA,4BAA0B,IAAE,CAAC,OAAM,OAAM,mBAAmBA,KAAG;AAAE,WAAM;AAAA,MACthE,EAAE,OAAO;AAAA;AAAA;AAAA,iCAGkB;AAAA,gCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAeH;AAAA,4BACD;AAAA,qBACP;AAAA,mCACc;AAAA;AAAA;AAAA;AAAA,qBAId;AAAA,mCACcA;AAAA;AAAA;AAAA;AAAA;AAAA,aAKtB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuBb;AAAC;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAvO,IAAyO,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,OAAK,KAAI,EAAE,MAAI;AAAG,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,gBAAe,KAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,GAAE,KAAK,UAAQ,GAAE,KAAK,KAAG,GAAE,KAAK,YAAU,OAAO,KAAK,MAAM,KAAK,aAAa,KAAK;AAAA,EAAS;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,YAAY,QAAOA,MAAE,KAAK,OAAK,GAAG,OAAK,QAAM,OAAM,IAAE,KAAK,YAAUA,MAAE,QAAQ,GAAG,GAAE,UAAS,KAAK,EAAE,MAAK,IAAE,KAAK,YAAY,KAAK,YAAY,SAAO,CAAC,GAAE,IAAE,IAAG,IAAE;AAAG,WAAO,KAAK,aAAW,IAAE,KAAK,UAAQ,UAAU,IAAE,MAAI,YAAW,IAAE,KAAK,UAAQ,YAAU,cAAY,IAAE,KAAK,UAAQ,gBAAgB,MAAI,eAAc,IAAE,KAAK,UAAQ,eAAa,eAAc;AAAA,QACrkC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,qBAII,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,qBACrB;AAAA;AAAA,eAEN;AAAA,uBACQ;AAAA,aACV,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,iBACjB,KAAK,YAAY,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ,QAAQ;AAAM,QAAM,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,QAAM,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,KAAG,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,OAAG,CAAC,GAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,MAAK,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,KAAI,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,WAAS,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,IAAE,CAAC,EAAE,MAAM,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,WAAS,oBAAmB,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,gBAAgBA,OAAI,KAAK,aAAWA;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC1wE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,oBAIG,KAAK,qBAAqB;AAAA,oBAC1B,KAAK,oBAAoB;AAAA,oBACzB,KAAK,oBAAoB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAO/B,KAAK,mBAAmB;AAAA;AAAA;AAAA,sBAGhB,KAAK,uBAAuB;AAAA;AAAA;AAAA;AAAA,EAG1C;AAAA,EAAC,uBAAsB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK,eAAa,SAAO,yBAAuB;AAAA,EAAsB;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,eAAa,SAAO,8BAA4B;AAAA,EAA2B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,wCAAuC,KAAK,gBAAc,CAAC,IAAG,IAAG,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,eAAaA,KAAE,KAAK,cAAY,GAAE,KAAK,YAAU,iBAAiB,KAAK,cAAc,KAAK,gBAAgB,KAAK;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAY,KAAK,cAAaA,MAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAc,CAAC,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,eAAa,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAY;AAAE,WAAM;AAAA,QACzmD,GAAG,KAAK,YAAW,KAAK,oBAAmB,OAAG,CAAC;AAAA;AAAA,kDAEL,OAAO;AAAA,kDACP,KAAK,iBAAiB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUrE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mDAeyC,4BAA4B,KAAK,cAAc,CAAC;AAAA,qDAC9C,4BAA4B,KAAK,cAAc,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAS3F,IAAEA,MAAE,gBAAgB,OAAK,kBAAkB,wBAAwBA;AAAA;AAAA;AAAA,gCAG7C,KAAK;AAAA,gCACL,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOL,KAAK;AAAA,kCACH,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAM7B,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,wCAAuC,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,gBAAc,GAAE,KAAK,SAAO,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,GAAE,KAAK,eAAc,CAAC,CAAC,GAAE,EAAE,OAAO,EAAE,eAAa,gBAAe,MAAI,6BAA6B,GAAEA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,YAAU,iBAAiB,KAAK,KAAK,SAAS,gBAAgB,KAAK,SAAS,eAAe,KAAK,SAAS,gBAAgB,KAAK,SAAS,eAAe,KAAK;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,QAAI,KAAG,KAAK,gBAAc,KAAG,KAAK,SAAS,cAAY,KAAK,SAAS,aAAYA,MAAE,KAAK,SAAS,cAAa,IAAE,KAAK,SAAS;AAAY,WAAM;AAAA,QACj6B,GAAG,KAAK,YAAW,KAAK,oBAAmB,MAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAS/C,EAAE;AAAA;AAAA;AAAA,oCAG0B,KAAK;AAAA;AAAA,sDAEaA,QAAM;AAAA;AAAA;AAAA;AAAA,uCAIrB;AAAA,yCACE,KAAK;AAAA,8BAChB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKH,KAAK,SAAS;AAAA;AAAA;AAAA,kCAGZ;AAAA;AAAA;AAAA,oCAGE,KAAK,SAAS;AAAA;AAAA,oCAEd,KAAK;AAAA,6CACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMf,KAAK;AAAA;AAAA;AAAA;AAAA,cAIrB,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKxC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS;AAAA,qEAC5B,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAe,EAAE,eAAa,gBAAeA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,YAAU,aAAa,KAAK,cAAc,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,6BAA2B;AAA2B,WAAM;AAAA,QAClnB,GAAG,KAAK,YAAW,KAAK,oBAAmB,OAAG,CAAC;AAAA;AAAA,QAE/C,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,6CAI4B,KAAK,iBAAe,OAAK;AAAA,4BAC1C,KAAK,iBAAe,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+BA4BnB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+BAoBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAMjB,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA,EAIxC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC;AAAG,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,MAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,CAAC,GAAE,IAAE,EAAE,eAAa,gBAAe;AAAE,SAAM,CAAC,KAAG,EAAE,WAAS,MAAI,EAAE,UAAQ,MAAI,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,kBAAgB,KAAG,EAAE,mBAAiB,KAAG,EAAE,eAAa,EAAE,cAAY,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,cAAa,EAAE,WAAW,IAAE,KAAG,EAAE,YAAU,KAAG,EAAE,WAAS,KAAG,EAAE,eAAa,KAAG,EAAE,eAAa,EAAE,eAAa,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,aAAW,MAAI,IAAE,IAAE,IAAI,GAAG,CAAC,KAAG,IAAE,IAAI,GAAG,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,YAAY,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,IAAGA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACjxC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,iFAAgF,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SACxuB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA+BZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAG,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,OAAM,OAAM,QAAO,eAAc,GAAE,CAAC;AAA1D,IAA4D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,IAAG,OAAM,UAAS,CAAC;AAAzD,IAA2D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,+CAA8C,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,GAAE,KAAK,YAAU,OAAO;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA,QAErzF,KAAK,cAAY,SAAO,sCAAoC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyB9D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMZ;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,QAAO,CAAC,GAAE,IAAE,IAAI,GAAG,QAAO,CAAC,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,KAAG,KAAG,KAAK,IAAG,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAEA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,OAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACpqC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,OAAMA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,KAAK;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,SAAQ,OAAM,QAAO,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,SAAK,eAAa,MAAG,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAACA,KAAE,GAAE,CAAC,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,YAAU,cAAc,KAAK;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAY,4CAA0C;AAA4C,WAAM;AAAA,uCAC3xB,KAAK,cAAY,qBAAmB;AAAA,QACnE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,yBAIQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMtB;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAzD,IAA2D;AAA3D,IAA8D,KAAG,EAAE,EAAE,QAAQ,uCAAuC;AAApH,IAAsH,KAAG,oBAAI;AAAI,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAI,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,qBAAmB,eAAa,aAAa,qBAAmB,OAAO,mBAAiB,eAAa,aAAa,iBAAgB,IAAE,OAAO,eAAa,eAAa,aAAa,aAAY,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,OAAG,IAAE,KAAG;AAAE,MAAG,KAAG,KAAG,GAAE;AAAC,QAAI;AAAE,QAAG,GAAE;AAAC,UAAI,IAAE;AAAE,UAAG,CAAC,GAAG,IAAI,CAAC,KAAG,GAAG,IAAI,CAAC,EAAE,SAAQ;AAAC,YAAI,IAAE,EAAC,QAAO,EAAC;AAAE,WAAG,IAAI,GAAEA,IAAE,OAAO,sBAAsB,CAAC,CAAC;AAAA,MAAC;AAAC,UAAE,EAAC,OAAM,GAAE,QAAO,GAAE,QAAO,MAAK,OAAM,MAAK,SAAQ,GAAG,IAAI,CAAC,EAAC;AAAA,IAAC,OAAK;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE,QAAQ,uCAAuC;AAAE,SAAC,MAAI,QAAM,MAAI,QAAM,KAAG,GAAE,KAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,GAAE,CAAC,IAAG,GAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG;AAAA,MAAM;AAAC,UAAI,IAAE,gBAAgB,WAAS,gBAAgB,oBAAkB,gBAAgB,iBAAgB,IAAE,cAAa,IAAEA,IAAE,eAAe,eAAe,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,MAAAA,IAAE,MAAM,2BAA2B,EAAC,QAAO,EAAC,GAAE,EAAC,SAAQ,EAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,QAAO,GAAE,OAAM,GAAE,SAAQ,EAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,GAAG,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,OAAO,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,MAAE,eAAa;AAAE,QAAI,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAK,IAAE;AAAE,MAAG,KAAG,QAAM,MAAI,GAAE;AAAC,QAAE,IAAI,WAAW,EAAE,QAAM,EAAE,SAAO,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,MAAI,EAAE,GAAG,IAAE,EAAE,CAAC;AAAA,EAAE;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,WAAS,0BAAyB,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,IAAG,KAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,IAAG,KAAK,cAAY,GAAE,KAAK,aAAW,GAAE,KAAK,YAAU;AAAA,EAAW;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE;AAAM,SAAK,eAAa,SAAO,IAAE;AAAiC,QAAIA,MAAE;AAAM,WAAO,KAAK,cAAY,SAAOA,MAAE,iCAAgC;AAAA,QACtoF,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMa;AAAA,6BACDA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1B;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,OAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,CAAC,GAAE;AAAE,SAAO,EAAE,YAAU,KAAG,EAAE,WAAS,KAAG,EAAE,eAAa,KAAG,EAAE,eAAa,EAAE,eAAa,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,aAAW,MAAI,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,YAAY,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,IAAG,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU,kBAAiBA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,YAAY,KAAI,KAAK,WAAS,GAAE,KAAK,WAAS,6BAA6B,GAAG,CAAC;AAAA,EAAI;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,WAAO,KAAK,WAAS,IAAE,IAAE,wBAAsB,IAAE,oBAAmB;AAAA,QAC7yE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMa;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOvB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,MAAM,GAAE,KAAK,SAAO,GAAE,KAAK,cAAYA,KAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAI,KAAK,MAAM;AAAE,WAAM;AAAA,QACllC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA,oDAKmC;AAAA;AAAA;AAAA;AAAA,EAG/C;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAEA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAI,IAAEA,IAAE,KAAK,QAAQ,IAAEA,IAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,SAAOA,IAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,YAAW,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,SAAQ,eAAc,IAAG,OAAM,OAAM,CAAC;AAA5D,IAA8D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,eAAc,OAAM,QAAO,eAAc,GAAE,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,MAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,WAAU,OAAM,OAAM,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,OAAM,OAAM,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,OAAM,OAAM,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,WAAU,cAAc;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,MAAK,OAAM,QAAO,eAAc,GAAE,CAAC;AAAzD,IAA2D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,YAAW,OAAM,QAAO,eAAc,GAAE,CAAC;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,4BAA2B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAU;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC3hF,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,KAAG,IAAE,MAAI,IAAE,IAAG,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,GAAE,CAAC;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,aAAY,OAAM,OAAM,CAAC;AAA/C,IAAiD,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,YAAW,CAAC;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,WAAU,CAAC;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAUptB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,sDAAqD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAK;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC3V,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAiBL;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKP;AAAC;AAjCktB,IAiChtB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,sDAAqD,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,iBAAe,IAAG,EAAE,OAAOA,OAAG,KAAK,gBAAe,MAAI,wCAAwC,KAAK,qCAAqCA,KAAG,GAAE,KAAK,cAAY,GAAE,KAAK,uBAAqB,KAAK,cAAc,CAAC,IAAE,IAAE,KAAK,gBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,KAAK,sBAAqB,KAAK,cAAc,CAAC,GAAE,KAAK,cAAc,CAAC,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,wCACxkB,KAAK,cAAc,CAAC;AAAA,mCACzB,KAAK;AAAA,6BACX,KAAK;AAAA;AAAA,MAE5B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAuBE;AAAA;AAAA;AAAA;AAAA;AAAA,EAIH;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE;AAAE,MAAE,KAAG,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,SAAO,GAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,WAAK,YAAU,OAAO;AAAA,IAAgB,CAAC,GAAE,KAAK,SAAO,MAAI,YAAU,IAAE,GAAE,KAAK,YAAU,aAAa;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,OAAO,QAAOA,MAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,MAAM,EAAE,KAAK,GAAG,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,yBAAyB,IAAE,IAAE,IAAI,OAAK,IAAI,EAAE,KAAK,GAAG,GAAE,IAAE,MAAI,IAAE,UAAQ,YAAW,IAAE,MAAI,IAAE,QAAM,UAAS,IAAE,MAAI,IAAE,SAAO,WAAU,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,IAAE;AAAS,WAAM;AAAA,QACvrD,EAAE,OAAO;AAAA;AAAA,wBAEO,KAAKA;AAAA,sBACP,KAAK;AAAA;AAAA,gCAEK;AAAA,kBACd,OAAO;AAAA,gBACT,OAAO,WAAW,OAAO,KAAK;AAAA,wBACtB,QAAQ;AAAA,gBAChB,QAAQ,gBAAgB,OAAO,KAAK;AAAA;AAAA;AAAA;AAAA,yCAIX;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,EAAC,EAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,QAAO,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAG;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,UAAQ,KAAK,gGAAgG;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAG,wBAAwB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,UAAQ,KAAK,gGAAgG;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,wBAAwB,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,kCAAiC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACh8D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,EAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAE,UAAQ,WAAS,KAAG,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wBAAuB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,WAAK,YAAU,OAAO;AAAA,IAAgB,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,YAAU;AAAA,EAAK;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,OAAO,QAAOA,MAAE,GAAG,CAAC,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,MAAM,EAAE,KAAK,GAAG,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,yBAAyB,IAAE,IAAE,IAAI,OAAK,IAAI,EAAE,KAAK,GAAG,GAAE,IAAE,IAAE,IAAE,GAAGA,OAAK,OAAK,GAAG,KAAI,IAAE,IAAE,IAAE,GAAGA,OAAK,OAAK,GAAG,KAAI,IAAE,IAAE,IAAE,sBAAoB,gBAAe,IAAE,IAAE,IAAE,qBAAmB,eAAc,IAAE,IAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,IAAE;AAAS,WAAM;AAAA,QACz3F,EAAE,OAAO;AAAA;AAAA,wBAEO;AAAA,sBACF;AAAA;AAAA;AAAA,gBAGN,QAAQ;AAAA;AAAA;AAAA;AAAA,2CAImB;AAAA;AAAA;AAAA;AAAA;AAAA,EAItC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,OAAG,EAAE,YAAY,GAAE,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,IAAE,IAAI,OAAG,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,EAAC,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAA3b,IAA6b,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,GAAG,OAAM,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,QAAOA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAA5H,IAA8H,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,WAAU,CAAC;AAAhC,IAAkC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,0DAAyD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,EAAE,CAAC,GAAEA,KAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACtyD,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA0CZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,MAAK,GAAE,kBAAiB,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,MAAG,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,mDAAkD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,EAAE,CAAC,GAAEA,KAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,mBAAiB,GAAE,KAAK,YAAU,iBAAiB;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,WAAO,KAAK,mBAAiB,IAAE,4FAA0F,IAAE,mDAAkD;AAAA,QAC/3B,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAmBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAW/B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,MAAG,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,sBAAqB,KAAK,YAAU;AAAA,EAAS;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAsB9nB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,EAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS;AAAA,8BAC7yB,KAAK,YAAU,UAAS,KAAK,cAAY,GAAE,OAAOA,OAAG,YAAU,KAAK,YAAU,qBAAoB,KAAK,cAAY,yCAAwC,KAAK,aAAW,aAAW,KAAK,YAAU,2BAA0B,KAAK,cAAY,oDAAmD,KAAK,aAAW;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UACnW,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAWL,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,OAAO,KAAG,WAAS,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,WAAW,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAC,CAAC,IAAE,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,EAAC,CAAC,GAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,MAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,GAAE,KAAK,iBAAe,GAAE,KAAK,iBAAe,GAAG,CAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,GAAE,KAAK,aAAa,GAAE,KAAK,yBAAuBA,MAAE,GAAE,KAAK,YAAU,WAAW,KAAK,KAAK,KAAK,0BAA0B,KAAK;AAAI,QAAI,IAAE,GAAG,EAAE,MAAM;AAAE,SAAK,WAAS,4BAA4B,wBAAuB,KAAK,cAAY,GAAE,KAAK,cAAY;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE;AAAG,SAAK,gBAAc,IAAE,IAAE,cAAY,KAAK,gBAAc,MAAI,IAAE;AAAgB,QAAIA,MAAE,cAAc,MAAK,IAAE,KAAK,yBAAuB,wBAAsB,oBAAmB,IAAE,IAAG,IAAE;AAAG,SAAK,eAAe,EAAE,WAAS,KAAG,IAAE,kBAAiB,IAAE;AAAA;AAAA;AAAA;AAAA,WAI/5C,KAAK,eAAe,EAAE,WAAS,MAAI,IAAE,wCAAuC,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAW9E,QAAI,IAAE,cAAc,MAAM,KAAK,EAAC,QAAO,KAAK,YAAW,GAAE,CAAC,GAAE,MAAI,UAAU,IAAI,EAAE,KAAK,IAAI;AAAK,WAAM;AAAA,MACvG;AAAA,QACE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA,0CAKyBA;AAAA,8DACoB;AAAA;AAAA;AAAA,gBAG9C,GAAG,KAAK,MAAK,KAAE,KAAK;AAAA,qDACiB;AAAA;AAAA,YAEzC,KAAK,iBAAe,GAAG,sBAAqB,eAAc,KAAK,IAAI,IAAE;AAAA;AAAA;AAAA,EAEzE;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,kBAAiB,QAAQ,GAAE,KAAK,WAAS,oBAAmB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,OAAKA,KAAE,KAAK,YAAU,iBAAiBA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8CAMtlC,KAAK,SAAO,SAAO,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAS7D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,MAAM,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,KAAI,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,QAAM,GAAE,KAAK,OAAK,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,GAAEA;AAAE,QAAG,KAAK,OAAK;AAAE,YAAM,MAAM,kBAAkB,KAAK,2BAA2B;AAAE,QAAG,KAAK,SAAO;AAAE,MAAAA,MAAE,SAAQ,IAAE;AAAA,SAAY;AAAC,UAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,YAAY,QAAO;AAAI,UAAE,KAAK,GAAG,EAAE,CAAC,GAAG,GAAE,IAAE,KAAK,SAAO,EAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,UAAE,EAAE,KAAK,GAAEA,MAAE,EAAE,KAAK;AAAA,IAAC;AAAC,WAAM;AAAA,QAC72B,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGW;AAAA;AAAA,2CAEeA;AAAA;AAAA,2CAEAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAItC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,QAAO,EAAE,OAAM,EAAE,MAAM,MAAM;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,SAAQ,CAAC;AAA9B,IAAgC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,uEAAuE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAArrB,IAAurB,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,OAAK,KAAK,YAAY,QAAO,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAI,KAAK,MAAK,WAAW;AAAE,WAAM;AAAA,QAC3nF,EAAE,OAAO;AAAA;AAAA;AAAA,yCAGwB;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,SAAS,IAAI,GAAE,IAAE,IAAG;AAAC,MAAG,KAAG;AAAE,UAAM,MAAM,iBAAiB,wBAAwB;AAAE,MAAG,MAAI;AAAE,WAAM,YAAY;AAAW,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,IAAIA,IAAE,CAAC,OAAO,WAAW,KAAK;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,YAAU,EAAE,MAAM,UAAQ,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE;AAAG,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAEA,IAAE,eAAe,CAAC,GAAE,GAAE,EAAE,oBAAoB,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,MAAM,EAAE,MAAM,EAAE,KAAK,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,UAAO,GAAE;AAAA,IAAC,KAAK;AAAE;AAAA,IAAM,KAAK;AAAE;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC;AAAA,IAAM;AAAQ;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,GAAEA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,OAAM,EAAE,MAAM;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,mBAAkB,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,GAAE;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,MAAK,kBAAkB,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,EAAE,KAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC;AAAE,QAAIA,MAAE,GAAG,KAAK,YAAY,MAAM;AAAE,SAAK,WAAS,WAAWA,mBAAiBA,SAAM,KAAK,YAAU;AAAA,EAAc;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,YAAY,QAAOA,MAAE;AAAG,QAAG,MAAI;AAAE,MAAAA,MAAE;AAAA,SAAiD;AAAC,UAAI,IAAE;AAAE,MAAAA,MAAE,KAAK,YAAY,IAAI,CAAC,GAAE,OAAK,KAAI,KAAK,YAAY,WAAS,IAAE,6BAA6B,uBAAuB,OAAK,UAAU,IAAE,yBAAyB,uBAAuB,KAAK,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,WAAM;AAAA,SAC7oH,EAAE,OAAO;AAAA;AAAA;AAAA,0CAGwBA;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC,WAASA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS;AAAA,gCACluD,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UAC/D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkEZ;AAAC;AApE6/C,IAoE3/C,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,8CAA6C,KAAK,YAAU;AAAA,EAAO;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UAChV,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA0DZ;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,QAAI,QAAM,EAAE,YAAY,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE;AAAG,SAAG;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAE,WAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC,CAAC,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,GAAE,GAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAM,SAAQ,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,cAAc,CAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,MAAK,IAAE,MAAI,MAAI,OAAK,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,MAAI,OAAK,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,iBAAiB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,MAAI,OAAK,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,iBAAiB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,WAAU,EAAC,EAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE;AAAE,IAAE,KAAK,CAAC,GAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,YAAY,GAAE,KAAK,WAAS,iEAAgE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAG,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAW;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgE96D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoDZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAW,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM,KAAI;AAAO,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAE;AAAA,EAAK;AAAC,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAI,KAAG,CAAC;AAAE,IAAI,KAAG;AAAP,IAAe,MAAI;AAAnB,IAA2B,MAAI;AAA/B,IAAuC,MAAI;AAA3C,IAAmD,MAAI;AAAvD,IAA+D,MAAI;AAAnE,IAAoF,MAAI,EAAC,MAAK,IAAG,aAAY,IAAG,kBAAiB,KAAI,oBAAmB,KAAI,sBAAqB,KAAI,qBAAoB,KAAI,uBAAsB,IAAG;;;ACxxOttD,SAAS,OAAO,KAAW;AAChC,QAAMC,MAAK,oBAAI,KAAK;AACpB,QAAMC,MAAK,GAAGD,IAAG,SAAS,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,WAAW,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,WAAW,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,gBAAgB,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG;AACxM,MAAI;AAAK,YAAQ,IAAIC,KAAI,UAAU,GAAG,GAAG;AAC3C;AAGO,SAAS,KAAK,QAAgB,MAAsB;AACzD,QAAM,YAAY,OAAO,SAAS,GAAG,IAAI,KAAK;AAC9C,QAAM,WAAW,KAAK,WAAW,GAAG,KAAK,KAAK,WAAW,GAAG,KAAK,KAAK,WAAW,OAAO,KAAK,KAAK,WAAW,QAAQ,KAAK,KAAK,WAAW,OAAO;AACjJ,QAAM,OAAO,WAAW,GAAG,SAAS,GAAG,SAAS,YAAY;AAC5D,MAAI,CAAC,KAAK,kBAAkB,EAAE,SAAS,OAAO;AAAG,UAAM,IAAI,MAAM,yCAAyC,MAAM;AAChH,SAAO;AACT;AAGO,IAAM,MAAM,MAAM;AACvB,MAAI,OAAO,gBAAgB;AAAa,WAAO,YAAY,IAAI;AAC/D,SAAO,UAAU,OAAO,QAAQ,OAAO,OAAO,CAAC,IAAI,MAAO,KAAM,SAAS,CAAC;AAC5E;AAGO,SAAS,SAAS,UAA2BC,SAAyB,SAAS,UAAU,OAA+D,CAAC,GAAG;AACjK,aAAW,OAAO,OAAO,KAAKA,OAAM,GAAG;AACrC,QAAI,OAAOA,QAAO,GAAG,MAAM,UAAU;AACnC,eAAS,SAAS,GAAG,GAAGA,QAAO,GAAG,GAAG,KAAK,IAAI;AAAA,IAChD,OAAO;AACL,YAAM,UAAU,YAAa,OAAO,SAAS,GAAG,MAAM;AACtD,UAAI,CAAC;AAAS,aAAK,KAAK,EAAE,QAAQ,oBAAoB,OAAO,GAAG,UAAU,SAASA,QAAO,GAAG,IAAI,CAAC;AAClG,YAAM,OAAO,YAAY,OAAO,SAAS,GAAG,MAAM,OAAOA,QAAO,GAAG;AACnE,UAAI,WAAW,CAAC;AAAM,aAAK,KAAK,EAAE,QAAQ,0BAA0B,OAAO,GAAG,UAAU,SAASA,QAAO,GAAG,KAAK,UAAU,OAAO,SAAS,GAAG,EAAE,CAAC;AAAA,IAClJ;AAAA,EAEF;AACA,MAAIA,QAAO,SAAS,WAAW,YAAY,KAAK,SAAS;AAAG,QAAI,yBAAyB,IAAI;AAC7F,SAAO;AACT;AAGO,SAAS,aAAa,SAAS;AACpC,QAAM,WAAW,CAAC,QAAQ,OAAO,OAAO,QAAQ;AAChD,SAAO,QAAQ,OAAO,CAAC,MAAM,QAAQ;AACnC,WAAO,KAAK,OAAO,CAAC,CAAC,EAAE,QAAQ,CAAC,QAAQ;AACtC,YAAM,OAAO,KAAK,GAAG;AACrB,YAAM,OAAO,IAAI,GAAG;AACpB,UAAI,MAAM,QAAQ,IAAI,KAAK,MAAM,QAAQ,IAAI;AAAG,aAAK,GAAG,IAAI,KAAK,OAAO,GAAG,IAAI;AAAA,eACtE,SAAS,IAAI,KAAK,SAAS,IAAI;AAAG,aAAK,GAAG,IAAI,UAAU,MAAM,IAAI;AAAA;AACtE,aAAK,GAAG,IAAI;AAAA,IACnB,CAAC;AACD,WAAO;AAAA,EACT,GAAG,CAAC,CAAC;AACP;;;ACoRA,IAAM,SAAiB;AAAA,EACrB,SAAS;AAAA,EACT,eAAe;AAAA,EACf,aAAa;AAAA,EACb,gBAAgB;AAAA,EAChB,UAAU;AAAA,EACV,mBAAmB;AAAA,EACnB,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,kBAAkB;AAAA,EAClB,aAAa;AAAA,EACb,YAAY;AAAA,EACZ,OAAO,CAAC;AAAA,EACR,iBAAiB;AAAA,EACjB,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,cAAc;AAAA,IACd,OAAO;AAAA,IACP,QAAQ;AAAA,IACR,MAAM;AAAA,IACN,QAAQ;AAAA,IACR,gBAAgB;AAAA,IAChB,YAAY;AAAA,IACZ,UAAU;AAAA,IACV,WAAW;AAAA,IACX,MAAM;AAAA,IACN,YAAY;AAAA,IACZ,KAAK;AAAA,IACL,UAAU;AAAA,IACV,OAAO;AAAA,IACP,SAAS;AAAA,IACT,YAAY;AAAA,IACZ,aAAa;AAAA,IACb,UAAU;AAAA,IACV,UAAU;AAAA,EACZ;AAAA,EACA,SAAS;AAAA,IACP,SAAS;AAAA,EACX;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU;AAAA,MACR,WAAW;AAAA,MACX,UAAU;AAAA,MACV,aAAa;AAAA,MACb,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA,MACf,SAAS;AAAA,MACT,cAAc;AAAA,MACd,MAAM;AAAA,MACN,QAAQ;AAAA,IACV;AAAA,IACA,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA,MACX,aAAa;AAAA,IACf;AAAA,IACA,WAAW;AAAA,MACT,SAAS;AAAA,MACT,WAAW;AAAA,IACb;AAAA,IACA,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA,IACb;AAAA,IACA,SAAS;AAAA,MACP,SAAS;AAAA,MACT,eAAe;AAAA,MACf,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,IACA,aAAa;AAAA,MACX,SAAS;AAAA,MACT,WAAW;AAAA,MACX,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA,IACjB;AAAA,IACA,WAAW;AAAA,MACT,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,IACA,UAAU;AAAA,MACR,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,EACF;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,aAAa;AAAA,IACb,eAAe;AAAA,IACf,YAAY;AAAA,IACZ,UAAU;AAAA,EACZ;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU;AAAA,IACV,YAAY;AAAA,IACZ,UAAU;AAAA,IACV,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,WAAW;AAAA,IACX,UAAU;AAAA,MACR,WAAW;AAAA,IACb;AAAA,IACA,UAAU;AAAA,MACR,WAAW;AAAA,IACb;AAAA,EACF;AAAA,EACA,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,WAAW;AAAA,IACX,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,YAAY;AAAA,IACZ,UAAU;AAAA,EACZ;AAAA,EACA,cAAc;AAAA,IACZ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,OAAO;AAAA,IACP,MAAM;AAAA,EACR;AACF;;;ACndO,IAAM,iBAAiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAqBvB,IAAM,uBAAuB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAc7B,IAAM,0BAA0B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAchC,IAAM,WAAW;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAejB,IAAM,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAyBb,IAAM,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;;;AC9E3B,IAAM,UAAU,CAAC,QAAQ,QAAgB,eAAe;AACtD,QAAM,IAAI,IAAI,OAAO,QAAQ,SAAS,gBAAgB,IAAI;AAC1D,SAAO,QAAQ,GAAG,CAACC,QAAO,SAAS;AACjC,eAAW,IAAI,IAAI;AACnB,WAAOA;AAAA,EACT,CAAC;AACH;AAEA,IAAM,YAAN,MAAgB;AAAA,EAMd,YAAYC,KAAI,cAAc,gBAAgB;AAL9C,mCAAU,CAAC;AACX,qCAAY,CAAC;AACb;AACA;AA2BA,mCAAU,CAAC,QAAQ,SAA6B;AAC9C,YAAM,SAAS,KAAK,GAAG,aAAa,IAAI;AACxC,UAAI,CAAC,QAAQ;AACX,YAAI,iCAAiC;AACrC,eAAO;AAAA,MACT;AACA,WAAK,GAAG,aAAa,QAAQ,MAAM;AACnC,WAAK,GAAG,cAAc,MAAM;AAC5B,UAAI,CAAC,KAAK,GAAG,mBAAmB,QAAQ,KAAK,GAAG,cAAc,GAAG;AAC/D,YAAI,8BAA8B,KAAK,GAAG,iBAAiB,MAAM,KAAK,WAAW;AACjF,eAAO;AAAA,MACT;AACA,aAAO;AAAA,IACT;AArCE,SAAK,KAAKA;AACV,UAAM,eAAe,KAAK,QAAQ,cAAc,KAAK,GAAG,aAAa;AACrE,UAAM,iBAAiB,KAAK,QAAQ,gBAAgB,KAAK,GAAG,eAAe;AAC3E,SAAK,KAAK,KAAK,GAAG,cAAc;AAChC,QAAI,CAAC,gBAAgB,CAAC;AAAgB;AACtC,QAAI,CAAC,KAAK,IAAI;AACZ,UAAI,wCAAwC;AAC5C;AAAA,IACF;AACA,SAAK,GAAG,aAAa,KAAK,IAAI,YAAY;AAC1C,SAAK,GAAG,aAAa,KAAK,IAAI,cAAc;AAC5C,SAAK,GAAG,YAAY,KAAK,EAAE;AAC3B,QAAI,CAAC,KAAK,GAAG,oBAAoB,KAAK,IAAI,KAAK,GAAG,WAAW,GAAG;AAC9D,UAAI,2BAA2B,KAAK,GAAG,kBAAkB,KAAK,EAAE,KAAK,WAAW;AAChF;AAAA,IACF;AACA,SAAK,GAAG,WAAW,KAAK,EAAE;AAC1B,YAAQ,cAAc,aAAa,KAAK,SAAS;AACjD,eAAW,KAAK,KAAK;AAAW,WAAK,UAAU,CAAC,IAAI,KAAK,GAAG,kBAAkB,KAAK,IAAI,CAAC;AACxF,YAAQ,cAAc,WAAW,KAAK,OAAO;AAC7C,YAAQ,gBAAgB,WAAW,KAAK,OAAO;AAC/C,eAAW,KAAK,KAAK;AAAS,WAAK,QAAQ,CAAC,IAAI,KAAK,GAAG,mBAAmB,KAAK,IAAI,CAAC;AAAA,EACvF;AAgBF;AAWO,SAAS,gBAAgB;AAC9B,MAAI,YAAY;AAChB,MAAI,gBAAqC;AACzC,MAAI,cAAc;AAClB,MAAI,0BAA0B;AAC9B,MAAI,mBAAoG,CAAC,MAAM,IAAI;AACnH,MAAI,cAAyC,CAAC;AAC9C,MAAI,eAAmC;AACvC,MAAI,iBAAmC;AACvC,QAAM,WAAW,OAAO,KAAK,GAAG;AAChC,QAAM,qBAAqB,CAAE;AAC7B,QAAM,OAAO,EAAE,cAAc,EAAE;AAC/B,QAAMA,MAAK,SAAS,WAAW,OAAO;AACtC,MAAI,CAACA,KAAI;AACP,QAAI,kCAAkC;AACtC;AAAA,EACF;AAEA,OAAK,KAAKA;AAEV,WAAS,OAAO,OAAO,QAAQ;AAC7B,QAAI,UAAU,SAAS,SAAS,WAAW,SAAS;AAAQ;AAC5D,aAAS,QAAQ;AACjB,aAAS,SAAS;AAClB,QAAI,CAAC,cAAc;AACjB,YAAM,WAAW,IAAI,aAAa,CAAC,IAAI,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,CAAC;AAChH,qBAAeA,IAAG,aAAa;AAC/B,MAAAA,IAAG,WAAWA,IAAG,cAAc,YAAY;AAC3C,MAAAA,IAAG,WAAWA,IAAG,cAAc,UAAUA,IAAG,WAAW;AACvD,MAAAA,IAAG,YAAYA,IAAG,gCAAgC,IAAI;AAAA,IACxD;AACA,IAAAA,IAAG,SAAS,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AACjD,uBAAmB,CAAC,MAAM,IAAI;AAAA,EAChC;AAEA,WAAS,yBAAyB,OAAO,QAAQ;AAC/C,UAAM,MAAMA,IAAG,kBAAkB;AACjC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,GAAG;AACtC,UAAM,eAAeA,IAAG,mBAAmB;AAC3C,IAAAA,IAAG,iBAAiBA,IAAG,cAAc,YAAY;AACjD,UAAM,UAAUA,IAAG,cAAc;AACjC,IAAAA,IAAG,YAAYA,IAAG,YAAY,OAAO;AACrC,IAAAA,IAAG,WAAWA,IAAG,YAAY,GAAGA,IAAG,MAAM,OAAO,QAAQ,GAAGA,IAAG,MAAMA,IAAG,eAAe,IAAI;AAC1F,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,MAAM;AAChE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,MAAM;AAChE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,qBAAqBA,IAAG,aAAaA,IAAG,mBAAmBA,IAAG,YAAY,SAAS,CAAC;AACvF,IAAAA,IAAG,YAAYA,IAAG,YAAY,IAAI;AAClC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,IAAI;AACvC,WAAO,EAAE,KAAK,QAAQ;AAAA,EACxB;AAEA,WAAS,mBAAmBC,QAAuE;AACjG,qBAAiBA,MAAK,IAAI,iBAAiBA,MAAK,KAAK,yBAAyB,SAAS,OAAO,SAAS,MAAM;AAC7G,WAAO,iBAAiBA,MAAK;AAAA,EAC/B;AAEA,WAAS,KAAK,QAAQ,GAAG;AACvB,QAAI,CAAC;AAAgB;AACrB,QAAI,SAA8B;AAClC,QAAI,SAAkC;AACtC,QAAI,QAAQ;AACZ,QAAI,cAAc;AAAG,eAAS;AAAA;AACzB,eAAS,mBAAmB,uBAAuB,EAAE,WAAW;AACrE;AACA,QAAI,eAAe,EAAE,QAAQ,KAAK,eAAe;AAC/C,eAAS;AACT,cAAQ,YAAY,MAAM;AAAA,IAC5B,OAAO;AACL,iCAA2B,0BAA0B,KAAK;AAC1D,eAAS,mBAAmB,uBAAuB,EAAE,OAAO;AAAA,IAC9D;AACA,IAAAD,IAAG,YAAYA,IAAG,YAAY,MAAM;AACpC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,MAAM;AACzC,IAAAA,IAAG,UAAU,eAAe,QAAQ,OAAO,GAAI,QAAQ,KAAK,CAAE;AAC9D,IAAAA,IAAG,WAAWA,IAAG,WAAW,GAAG,CAAC;AAAA,EAClC;AAEA,WAAS,cAAc,gBAAkC;AACvD,QAAI,mBAAmB,cAAc,GAAG;AACtC,uBAAiB,mBAAmB,cAAc;AAClD,MAAAA,IAAG,YAAY,iBAAiB,eAAe,KAAK,SAAS,IAAI;AACjE,aAAO;AAAA,IACT;AACA,qBAAiB,IAAI,UAAUA,KAAY,gBAAgB,cAAc;AACzE,QAAI,CAAC,gBAAgB;AACnB,UAAI,qCAAqC;AACzC,aAAO;AAAA,IACT;AACA,UAAM,YAAY,aAAa;AAC/B,UAAM,WAAW,IAAI;AACrB,IAAAA,IAAG,wBAAwB,eAAe,UAAU,KAAK,CAAC;AAC1D,IAAAA,IAAG,oBAAoB,eAAe,UAAU,KAAK,GAAG,GAAGA,IAAG,OAAO,OAAO,UAAU,IAAI,SAAS;AACnG,IAAAA,IAAG,wBAAwB,eAAe,UAAU,IAAI,CAAC;AACzD,IAAAA,IAAG,oBAAoB,eAAe,UAAU,IAAI,GAAG,GAAGA,IAAG,OAAO,OAAO,UAAU,IAAI,SAAS;AAClG,uBAAmB,cAAc,IAAI;AACrC,WAAO;AAAA,EACT;AAEA,QAAM,SAAS;AAAA,IACb,aAAa,CAAC,WAAqB;AACjC,YAAM,IAAI,IAAI,aAAa,MAAM;AACjC,QAAE,CAAC,KAAK;AACR,QAAE,CAAC,KAAK;AACR,QAAE,EAAE,KAAK;AACT,QAAE,EAAE,KAAK;AACT,YAAM,SAAU,EAAE,EAAE,MAAM,KAAK,EAAE,CAAC,MAAM,KAAK,EAAE,CAAC,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,IACrH,0BACA;AACZ,YAAM,UAAU,cAAc,MAAM;AACpC,UAAI,CAAC;AAAS;AACd,MAAAA,IAAG,WAAW,QAAQ,QAAQ,GAAG,GAAG,CAAC;AACrC,WAAK;AAAA,IACP;AAAA,IAEA,YAAY,CAAC,eAAuB;AAClC,YAAM,KAAK,cAAc,KAAK;AAC9B,aAAO,YAAY;AAAA,QACjB;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,CAAC,WAAmB;AAC9B,YAAM,KAAK,UAAU,KAAK,IAAI,IAAI;AAClC,YAAME,MAAM,IAAI,KAAK;AACrB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAGA;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZA;AAAA,QAAG;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZA;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,WAAW,EAAE;AAAA,IACtB;AAAA,IAEA,UAAU,CAAC,WAAmB;AAC5B,YAAMC,OAAK,UAAU,KAAK;AAC1B,YAAM,IAAI,QAAQA,MAAI;AACtB,aAAO,YAAY;AAAA,QACjBA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,UAAU,MAAM;AACd,aAAO,SAAS,EAAE;AAAA,IACpB;AAAA,IAEA,KAAK,CAAC,aAAqB;AACzB,kBAAY,YAAY,KAAK,MAAM,KAAK;AACxC,YAAM,MAAM,KAAK,IAAI,QAAQ;AAC7B,YAAM,MAAM,KAAK,IAAI,QAAQ;AAC7B,YAAM,OAAO;AACb,YAAM,OAAO;AACb,YAAM,OAAO;AACb,aAAO,YAAY;AAAA,QACjB,OAAO,OAAO,IAAI,QAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,OAAO,IAAI;AAAA,QAAO;AAAA,QAAG;AAAA,QAC3H,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAQ,OAAO,OAAO,IAAI,QAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAS;AAAA,QAAG;AAAA,QACzH,OAAO,MAAO,CAAC,OAAQ,MAAO,EAAE,IAAI;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAO,OAAO,OAAO,IAAI,QAAQ,MAAO;AAAA,QAAO;AAAA,QAAG;AAAA,QAC5H;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,qBAAqB,MAAM;AACzB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,OAAO,MAAM;AACX,aAAO,YAAY;AAAA,QACjB;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,SAAS,MAAM;AACb,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAuB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,gBAAgB,MAAM;AACpB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAG;AAAA,QAChE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAsB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAsB;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,aAAa,MAAM;AACjB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAmB;AAAA,QAAG;AAAA,QAC/D;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,UAAU,MAAM;AACd,aAAO,YAAY;AAAA,QACjB;AAAA,QAAO;AAAA,QAAQ;AAAA,QAAQ;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAQ;AAAA,QAAO;AAAA,QAAQ;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAQ;AAAA,QAAQ;AAAA,QAAO;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,aAAa,CAAC,WAAqB;AACjC,YAAM,IAAI,IAAI,aAAa,MAAM;AACjC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,UAAU,cAAsB,WAAW;AACjD,UAAI,CAAC;AAAS;AACd,MAAAH,IAAG,WAAW,QAAQ,QAAQ,GAAG,GAAG,CAAC;AACrC,MAAAA,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,YAAY,UAAU;AAC1D,WAAK;AAAA,IACP;AAAA,IAEA,aAAa,MAAM;AAEjB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAG;AAAA,QAAG;AAAA,QACN;AAAA,QAAG;AAAA,QAAI;AAAA,QACP;AAAA,QAAG;AAAA,QAAG;AAAA,MACR,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,MAAM;AAEZ,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAI;AAAA,QAAG;AAAA,QACP;AAAA,QAAI;AAAA,QAAG;AAAA,QACP;AAAA,QAAI;AAAA,QAAG;AAAA,MACT,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,MAAM;AAEZ,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAI;AAAA,QAAI;AAAA,QACR;AAAA,QAAG;AAAA,QAAG;AAAA,QACN;AAAA,QAAG;AAAA,QAAG;AAAA,MACR,CAAC;AAAA,IACH;AAAA,IAEA,SAAS,CAAC,WAAW;AACnB,YAAM,IAAI,UAAU;AAEpB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,QACX,KAAK;AAAA,QAAG,IAAI,IAAI;AAAA,QAAG,KAAK;AAAA,QACxB;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,MACb,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,CAACI,UAAiB;AACxB,YAAM,IAAIA,SAAQ;AAElB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B,KAAK;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,QAChB,KAAK;AAAA,QAAG;AAAA,QAAG,IAAI;AAAA,QACf;AAAA,QAAG,IAAI;AAAA,QAAG,IAAI;AAAA,MAChB,CAAC;AAAA,IACH;AAAA,IAEA,MAAM,CAACA,UAAiB;AACtB,YAAM,YAAaA,QAAO,IAAK,SAAS;AACxC,YAAM,YAAaA,QAAO,IAAK,SAAS;AACxC,YAAM,UAAU,cAAsB,IAAI;AAC1C,UAAI,CAAC;AAAS;AAEd,MAAAJ,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,GAAG,SAAS;AAChD,WAAK,KAAK,YAAY;AAEtB,MAAAA,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,WAAW,CAAC;AAChD,WAAK;AAAA,IACP;AAAA,IAEA,UAAU,CAACI,UAAiB;AAC1B,YAAM,YAAaA,QAAQ,SAAS;AACpC,YAAM,YAAaA,QAAQ,SAAS;AACpC,YAAM,UAAU,cAAsB,QAAQ;AAC9C,UAAI,CAAC;AAAS;AACd,MAAAJ,IAAG,UAAU,QAAQ,QAAQ,MAAM,GAAG,WAAW,SAAS;AAC1D,WAAK;AAAA,IACP;AAAA,EACF;AAGA,OAAK,MAAM,SAAU,MAAM;AACzB,UAAM,OAAO,MAAM,UAAU,MAAM,KAAK,WAAW,CAAC;AACpD,UAAM,OAAO,OAAO,IAAI;AACxB,gBAAY,KAAK,EAAE,MAAM,KAAK,CAAC;AAAA,EACjC;AAGA,OAAK,QAAQ,WAAY;AACvB,kBAAc,CAAC;AAAA,EACjB;AAGA,OAAK,MAAM,WAAY;AACrB,WAAO;AAAA,EACT;AAGA,OAAK,QAAQ,SAAU,OAAO;AAC5B,WAAO,MAAM,OAAO,MAAM,MAAM;AAChC,gBAAY;AACZ,QAAI,CAAC;AAAe,sBAAgBA,IAAG,cAAc;AACrD,IAAAA,IAAG,YAAYA,IAAG,YAAY,aAAa;AAC3C,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,OAAO;AACjE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,OAAO;AACjE,IAAAA,IAAG,WAAWA,IAAG,YAAY,GAAGA,IAAG,MAAMA,IAAG,MAAMA,IAAG,eAAe,KAAK;AACzE,aAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,oBAAe,MAAM,YAAY,SAAS;AAC1C,YAAM,IAAI,YAAY,CAAC;AAEvB,QAAE,KAAK,MAAM,MAAM,EAAE,QAAQ,CAAC,CAAC;AAAA,IACjC;AACA,WAAO;AAAA,EACT;AAGA,OAAK,OAAO,SAAU,OAAO;AAC3B,SAAK,IAAI,cAAc,CAAC;AACxB,WAAO,KAAK,MAAM,KAAK;AAAA,EACzB;AACF;;;AClbA,eAAsB,sBAAsB,YAAqC;AAC/E,QAAM,UAAU,WAAW,MAAM,WAAW,IAAO,GAAQ,UAAU,IAAI;AACzE,QAAMK,OAAS,GAAM,SAAS,GAAG,CAAC;AAClC,QAAM,MAAgB,CAAI,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,CAAC;AACrE,QAAM,MAAgB,CAAI,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,CAAC;AAGrE,QAAM,SAAS,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,YAAY,QAAQ,KAAK,CAAC,CAAC;AACrE,QAAM,WAAW,KAAK,IAAI,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AAClE,QAAM,WAAW,WAAW,IAAI,MAAM;AACtC,QAAM,SAAS,WAAW;AAC1B,MAAI;AACJ,MAAI,SAAS,GAAG;AACd,UAAM,MAAM,CAAI,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,CAAC;AACnF,UAAM,QAAQ,CAAI,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,CAAC;AAErF,UAAM,MAAM,CAAI,GAAI,IAAI,CAAC,GAAG,MAAM,GAAM,GAAI,IAAI,CAAC,GAAG,MAAM,GAAM,GAAI,IAAI,CAAC,GAAG,MAAM,CAAC;AACnF,UAAM,QAAW,GAAM,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAG,CAAC;AAClD,YAAW,EAAQ,OAAO,CAAC,GAAG,QAAQ,MAAM,CAAC,KAAK,GAAG,QAAQ,MAAM,CAAC,KAAK,GAAG,CAAC,CAAC;AAC9E,IAAG,GAAQ,CAAC,GAAG,KAAK,GAAG,OAAO,GAAG,GAAG,CAAC;AAAA,EACvC,OAAO;AACL,YAAW,GAAW,SAAS,CAAC;AAAA,EAClC;AACA,EAAG,GAAQ,CAAC,GAAGA,MAAK,GAAG,KAAK,GAAG,KAAKA,MAAK,SAAS,UAAU,CAAC;AAC7D,SAAO;AACT;;;ACpBA,IAAM,UAAU;AAEhB,IAAI,WAA6B;AACjC,IAAI,YAA8B;AAClC,IAAI,YAA8B;AAElC,IAAIC;AAEJ,IAAM,OAAoG;AAAA,EACxG,UAAU;AAAA,EACV,WAAW;AAAA,EACX,WAAW;AAAA,EACX,aAAa;AACf;AAEO,SAAS,QAAQ;AACtB,OAAK,WAAW;AAChB,OAAK,YAAY;AACjB,OAAK,YAAY;AACjB,OAAK,cAAc;AACrB;AAEO,SAAS,OAAO,OAAe,QAA2B;AAC/D,MAAI;AACJ,MAAI,IAAI,SAAS;AACf,QAAI,IAAI,QAAQ;AACd,UAAI,OAAO,oBAAoB;AAAa,cAAM,IAAI,MAAM,mFAAmF;AAC/I,UAAI,IAAI,gBAAgB,OAAO,MAAM;AAAA,IACvC,OAAO;AACL,UAAI,OAAO,aAAa,aAAa;AACnC,YAAI,SAAS,cAAc,QAAQ;AACnC,UAAE,QAAQ;AACV,UAAE,SAAS;AAAA,MACb,WAAW,OAAO,cAAc,eAAe,UAAU,YAAY,eAAe;AAElF,YAAI,OAAO,IAAI,WAAW;AAAa,cAAI,IAAI,IAAI,OAAO,OAAO,MAAM;AAAA,iBAC9D,OAAO,WAAW,WAAW;AAAa,cAAI,IAAI,WAAW,OAAO,OAAO,MAAM;AAAA;AACrF,gBAAM,IAAI,MAAM,wFAAwF;AAAA,MAC/G,OAAO;AACL,cAAM,IAAI,MAAM,kEAAkE;AAAA,MACpF;AAAA,IACF;AAAA,EACF,OAAO;AAEL,QAAI,OAAO,IAAI,WAAW;AAAa,UAAI,IAAI,IAAI,OAAO,OAAO,MAAM;AAAA,aAC9D,OAAO,WAAW,WAAW;AAAa,UAAI,IAAI,WAAW,OAAO,OAAO,MAAM;AAAA,EAE5F;AAEA,SAAO;AACT;AAGO,SAAS,KAAK,OAAkB,QAAoB;AACzD,QAAM,eAAe,UAAU,OAAO,MAAM,OAAO,MAAM,MAAM;AAC/D,QAAM,MAAM,aAAa,WAAW,IAAI;AACxC,MAAI,UAAU,OAAO,GAAG,CAAC;AACzB,SAAO;AACT;AAKA,eAAsBC,SAAQ,OAAcC,SAAgB,YAAqB,MAAsE;AA3EvJ,MAAAC,KAAAC,KAAAC;AA4EE,MAAI,CAAC,OAAO;AAEV,QAAIH,QAAO;AAAO,UAAI,+BAA+B;AACrD,WAAO,EAAE,QAAQ,MAAM,QAAQ,KAAK;AAAA,EACtC;AAEA,MACE,EAAE,iBAAoB,OACnB,EAAE,OAAO,UAAU,eAAe,iBAAiB,UACnD,EAAE,OAAO,WAAW,WAAW,eAAe,iBAAiB,WAAW,WAC1E,EAAE,OAAO,cAAc,eAAe,iBAAiB,cACvD,EAAE,OAAO,gBAAgB,eAAe,iBAAiB,gBACzD,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,sBAAsB,eAAe,iBAAiB,sBAC/D,EAAE,OAAO,oBAAoB,eAAe,iBAAiB,kBAChE;AACA,UAAM,IAAI,MAAM,kCAAkC;AAAA,EACpD;AACA,MAAI,iBAAoB,IAAQ;AAC9B,QAAII,UAAwB;AAC5B,QAAI,MAAM,oBAAoB;AAAG,YAAM,IAAI,MAAM,yDAAyD;AAC1G,QAAI,CAAE,MAAiB;AAAO,YAAM,IAAI,MAAM,sDAAsD;AACpG,QAAK,MAAiB,MAAM,WAAW,GAAG;AACxC,UAAK,MAAiB,MAAM,CAAC,MAAM,GAAG;AACpC,QAAAA,UAAY,GAAW,OAAO,CAAC;AAAA,MACjC,WAAY,MAAiB,MAAM,CAAC,MAAM,GAAG;AAC3C,cAAMC,OAAS,GAAQ,OAAmB,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,CAAC,CAAC;AAChE,QAAAD,UAAY,GAAWC,MAAK,CAAC;AAC7B,QAAG,GAAQA,IAAG;AAAA,MAChB;AAAA,IACF,WAAY,MAAiB,MAAM,WAAW,GAAG;AAC/C,UAAK,MAAiB,MAAM,CAAC,MAAM,GAAG;AACpC,QAAAD,UAAY,GAAM,KAAK;AAAA,MACzB,WAAY,MAAiB,MAAM,CAAC,MAAM,GAAG;AAC3C,QAAAA,UAAY,GAAQ,OAAmB,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,CAAC;AAAA,MACtE;AAAA,IACF;AAEA,QAAIA,WAAU,QAAQA,QAAO,MAAM,WAAW,KAAKA,QAAO,MAAM,CAAC,MAAM,KAAKA,QAAO,MAAM,CAAC,MAAM;AAAG,YAAM,IAAI,MAAM,iEAAmE,MAAiB,MAAO,SAAS,GAAG;AAC1N,QAAKA,QAAQ,UAAU,SAAS;AAC9B,YAAM,OAAU,GAAKA,SAAQ,SAAS;AACtC,MAAG,GAAQA,OAAM;AACjB,MAAAA,UAAS;AAAA,IACX;AACA,WAAO,EAAE,QAAQA,SAAoB,QAASJ,QAAO,OAAO,SAAS,YAAY,KAAM;AAAA,EACzF;AAEA,MAAI,OAAO,MAAM,YAAY,MAAM,eAAgB,MAA2B,cAAc,GAAG;AAC7F,QAAIA,QAAO;AAAO,UAAI,2BAA2B;AACjD,WAAO,EAAE,QAAQ,MAAM,QAAQ,SAAS;AAAA,EAC1C;AACA,QAAM,gBAAwB,MAAM,cAAc,KAAK,MAAM,YAAY,KAAK,MAAM,OAAO,KAAM,MAAM,OAAO,KAAM,MAAM,OAAO,EAAE,CAAC,IAAI;AACxI,QAAM,iBAAyB,MAAM,eAAe,KAAK,MAAM,aAAa,KAAK,MAAM,QAAQ,KAAM,MAAM,OAAO,KAAM,MAAM,OAAO,EAAE,CAAC,IAAI;AAC5I,MAAI,CAAC,iBAAiB,CAAC,gBAAgB;AACrC,QAAIA,QAAO;AAAO,UAAI,mCAAmC;AACzD,WAAO,EAAE,QAAQ,MAAM,QAAQ,SAAS;AAAA,EAC1C;AACA,MAAI,cAAsB;AAC1B,MAAI,eAAuB;AAC3B,MAAI,cAAc,SAAS;AACzB,kBAAc;AACd,mBAAe,KAAK,MAAM,cAAc,iBAAiB,aAAa;AAAA,EACxE;AACA,MAAI,eAAe,SAAS;AAC1B,mBAAe;AACf,kBAAc,KAAK,MAAM,eAAe,gBAAgB,cAAc;AAAA,EACxE;AAGA,SAAKC,MAAAD,QAAO,WAAP,gBAAAC,IAAe,UAAS,KAAK;AAAG,kBAAcD,QAAO,OAAO;AAAA,cACvDE,MAAAF,QAAO,WAAP,gBAAAE,IAAe,WAAU,KAAK;AAAG,kBAAc,kBAAkBF,QAAO,OAAO,UAAU,KAAK;AACxG,OAAKA,QAAO,OAAO,UAAU,KAAK;AAAG,mBAAeA,QAAO,OAAO;AAAA,YACxDA,QAAO,OAAO,SAAS,KAAK;AAAG,mBAAe,mBAAmBA,QAAO,OAAO,SAAS,KAAK;AACvG,MAAI,CAAC,eAAe,CAAC;AAAc,UAAM,IAAI,MAAM,yCAAyC;AAC5F,MAAI,CAAC,YAAa,SAAS,UAAU,eAAiB,SAAS,WAAW;AAAe,eAAW,OAAO,aAAa,YAAY;AAGpI,QAAM,QAAQ,SAAS,WAAW,IAAI;AACtC,MAAK,OAAO,cAAc,eAAiB,iBAAiB,WAAY;AACtE,UAAM,aAAa,OAAO,GAAG,CAAC;AAAA,EAChC,OAAO;AACL,QAAIA,QAAO,OAAO,QAAQ,OAAO,MAAM,cAAc,aAAa;AAChE,YAAM,UAAU,eAAe,CAAC;AAChC,YAAM,MAAM,IAAI,CAAC;AACjB,YAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AAC9G,YAAM,aAAa,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC;AAAA,IACrC,OAAO;AACL,YAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AAAA,IAChH;AAAA,EACF;AAEA,MAAI,CAAC,aAAc,SAAS,UAAU,UAAU,SAAW,SAAS,WAAW,UAAU;AAAS,gBAAY,OAAO,SAAS,OAAO,SAAS,MAAM;AAGpJ,MAAIA,QAAO,OAAO,WAAW,IAAI,MAAM,WAAW;AAChD,QAAI,CAACF;AAAI,MAAAA,MAAK,IAAI,UAAU,IAAY,cAAc,IAAI;AAC1D,QAAI,SAAS,CAAC,CAACA;AACf,QAAI,EAACA,OAAA,gBAAAA,IAAI,MAAK;AACZ,UAAIE,QAAO;AAAO,YAAI,gDAAgD;AACtE,UAAI,MAAM,YAAY;AACtB,MAAAA,QAAO,OAAO,UAAU;AACxB,WAAK,UAAU,SAAS;AAAA,IAE1B,OAAO;AACL,MAAAF,IAAG,MAAM;AACT,UAAIE,QAAO,OAAO,eAAe;AAAG,QAAAF,IAAG,IAAI,cAAcE,QAAO,OAAO,UAAU;AACjF,UAAIA,QAAO,OAAO,aAAa;AAAG,QAAAF,IAAG,IAAI,YAAYE,QAAO,OAAO,QAAQ;AAC3E,UAAIA,QAAO,OAAO,cAAc;AAAG,QAAAF,IAAG,IAAI,WAAWE,QAAO,OAAO,SAAS;AAC5E,UAAIA,QAAO,OAAO,SAAS;AAAG,QAAAF,IAAG,IAAI,QAAQE,QAAO,OAAO,IAAI;AAC/D,UAAIA,QAAO,OAAO,eAAe;AAAG,QAAAF,IAAG,IAAI,cAAcE,QAAO,OAAO,UAAU;AACjF,UAAIA,QAAO,OAAO,QAAQ;AAAG,QAAAF,IAAG,IAAI,OAAOE,QAAO,OAAO,GAAG;AAC5D,UAAIA,QAAO,OAAO;AAAU,QAAAF,IAAG,IAAI,UAAU;AAC7C,UAAIE,QAAO,OAAO;AAAO,QAAAF,IAAG,IAAI,OAAO;AACvC,UAAIE,QAAO,OAAO;AAAS,QAAAF,IAAG,IAAI,SAAS;AAC3C,UAAIE,QAAO,OAAO;AAAO,QAAAF,IAAG,IAAI,OAAO;AACvC,UAAIE,QAAO,OAAO;AAAY,QAAAF,IAAG,IAAI,YAAY;AACjD,UAAIE,QAAO,OAAO;AAAa,QAAAF,IAAG,IAAI,aAAa;AACnD,UAAIE,QAAO,OAAO;AAAU,QAAAF,IAAG,IAAI,UAAU;AAC7C,UAAIE,QAAO,OAAO,aAAa;AAAG,QAAAF,IAAG,IAAI,YAAYE,QAAO,OAAO,QAAQ;AAC3E,YAAIG,MAAAL,IAAG,IAAI,MAAP,gBAAAK,IAAU,UAAS;AAAG,oBAAYL,IAAG,MAAM,QAAQ;AAAA;AAClD,oBAAYA,IAAG,KAAK,QAAQ;AAAA,IACnC;AAAA,EACF,OAAO;AACL,SAAK,UAAU,SAAS;AACxB,QAAIA;AAAI,MAAAA,MAAK;AACb,QAAI,SAAS,CAAC,CAACA;AAAA,EACjB;AAEA,MAAI,CAAC;AAAW,WAAO,EAAE,QAAQ,MAAM,QAAQ,UAAU;AACzD,MAAI,CAAC;AAAW,UAAM,IAAI,MAAM,oCAAoC;AAGpE,MAAI;AACJ,MAAI,QAAQ;AACZ,MAAK,OAAO,cAAc,eAAe,iBAAiB,aAAgB,MAAoB,QAAS,MAAoB,SAAU,MAAoB,QAAS;AAChK,QAAI,IAAI,WAAc,IAAS;AAC7B,eAAY,KAAa,GAAQ,WAAW,KAAkB,IAAI;AAAA,IACpE,OAAO;AACL,cAAS,MAAoB,KAAK,SAAU,MAAoB,SAAU,MAAoB;AAE9F,YAAM,MAAM,IAAI,WAAY,MAAoB,KAAK,MAAM;AAC3D,eAAY,GAAO,KAAK,CAAE,MAAoB,QAAS,MAAoB,OAAO,KAAK,GAAG,OAAO;AAAA,IACnG;AAAA,EACF,OAAO;AACL,QAAI,CAAC,aAAc,UAAU,UAAU,UAAU,SAAW,UAAU,WAAW,UAAU;AAAS,kBAAY,OAAO,UAAU,OAAO,UAAU,MAAM;AACxJ,QAAO,MAAW,IAAI,SAAS;AAC7B,UAAIE,QAAO,YAAY,WAAWA,QAAO,YAAY,aAAaA,QAAO,YAAY,UAAU;AAC7F,iBAAY,GAAQ,WAAW,SAA8B;AAAA,MAC/D,OAAO;AACL,oBAAY,KAAK,SAAS;AAC1B,iBAAY,GAAQ,WAAW,SAA8B;AAAA,MAC/D;AAAA,IACF,OAAO;AACL,YAAM,aAAa,KAAK,SAAS;AACjC,YAAM,UAAU,WAAW,WAAW,IAAI;AAC1C,YAAM,WAAW,QAAQ,aAAa,GAAG,GAAG,aAAa,YAAY;AACrE,cAAQ,SAAS,KAAK,SAAS,cAAc;AAC7C,YAAM,MAAM,IAAI,WAAW,SAAS,KAAK,MAAM;AAC/C,eAAY,GAAO,KAAK,CAAC,aAAa,cAAc,KAAK,CAAC;AAAA,IAC5D;AAAA,EACF;AACA,MAAI,UAAU,GAAG;AACf,UAAMK,OAAS,GAAQ,QAAQ,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,CAAC,CAAC;AACrD,IAAG,GAAQ,MAAM;AACjB,aAASA;AAAA,EACX;AACA,MAAI,CAAC;AAAQ,UAAM,IAAI,MAAM,mCAAmC;AAChE,QAAM,SAAoB,GAAK,QAAQ,SAAS;AAChD,QAAM,SAAiBL,QAAO,OAAO,eAAe,MAAc,sBAAsB,MAAM,IAAO,GAAW,QAAQ,CAAC;AACzH,EAAG,GAAQ,CAAC,QAAQ,MAAM,CAAC;AAE3B,MAAIA,QAAO,OAAO,gBAAgB;AAChC,UAAM,MAAS,GAAI,MAAM;AACzB,UAAM,SAAS,MAAM,IAAI,KAAK;AAC9B,IAAAA,QAAO,OAAO,aAAa,OAAO,CAAC,IAAI,IAAK,IAAI,OAAO,CAAC,IAAI,MAAQ,IAAI,OAAO,CAAC;AAChF,IAAG,GAAQ,GAAG;AAAA,EAChB;AAEA,SAAO,EAAE,QAA4B,QAASA,QAAO,OAAO,SAAS,YAAY,KAAM;AACzF;AAgCA,eAAsB,KAAKA,SAAyB,OAAe;AACjE,MAAI,YAAY;AAChB,MAAIA,QAAO,qBAAqB,KAAK,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,MAAM,MAAM,CAAC,IAAI;AAAM,WAAO;AAcxI,MAAI,CAAC,KAAK,aAAa;AACrB,SAAK,cAAiB,GAAM,KAAK;AAAA,EACnC,WAAW,KAAK,YAAY,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,GAAG;AACvG,IAAG,GAAQ,KAAK,WAAW;AAC3B,SAAK,cAAiB,GAAM,KAAK;AAAA,EACnC,OAAO;AACL,UAAMM,MAA4B,CAAC;AACnC,IAAAA,IAAE,OAAU,GAAI,OAAO,KAAK,WAAW;AACvC,IAAAA,IAAE,UAAa,GAAIA,IAAE,MAAMA,IAAE,IAAI;AACjC,IAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO;AACxB,UAAM,UAAU,MAAMA,IAAE,IAAI,KAAK;AACjC,UAAM,eAAe,QAAQ,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,MAAM,MAAM,MAAM,CAAC,KAAK,KAAK,MAAM;AACxF,IAAG,GAAQ,CAAC,KAAK,aAAaA,IAAE,MAAMA,IAAE,SAASA,IAAE,GAAG,CAAC;AACvD,SAAK,cAAiB,GAAM,KAAK;AACjC,gBAAY,iBAAiBN,QAAO,oBAAoB;AAAA,EAC1D;AACA,SAAO;AACT;AAEA,eAAsB,QAAQA,SAAyB,QAAgB,QAAiC;AACtG,QAAMM,MAA4B,CAAC;AACnC,MAAI,CAAC,UAAU,CAAC,UAAU,OAAO,MAAM,WAAW,KAAK,OAAO,MAAM,WAAW,OAAO,MAAM,QAAQ;AAClG,QAAI,CAACN,QAAO;AAAO,UAAI,uDAAuD,OAAO,OAAO,OAAO,KAAK;AACxG,WAAO;AAAA,EACT;AACA,MAAI,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,GAAG;AACpG,QAAI,CAACA,QAAO;AAAO,UAAI,yDAAyD,OAAO,OAAO,OAAO,KAAK;AAC1G,WAAO;AAAA,EACT;AACA,EAAAM,IAAE,SAAY,GAAM,MAAM;AAC1B,EAAAA,IAAE,SAAU,OAAO,MAAM,CAAC,MAAM,OAAO,MAAM,CAAC,KAAK,OAAO,MAAM,CAAC,MAAM,OAAO,MAAM,CAAC,IAAQ,GAAM,eAAe,QAAoB,CAAC,OAAO,MAAM,CAAC,GAAG,OAAO,MAAM,CAAC,CAAC,CAAC,IAAO,GAAM,MAAM;AAC3L,EAAAA,IAAE,OAAU,GAAIA,IAAE,QAAQA,IAAE,MAAM;AAClC,EAAAA,IAAE,UAAa,GAAIA,IAAE,MAAMA,IAAE,IAAI;AACjC,EAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO;AACxB,QAAM,UAAU,MAAMA,IAAE,IAAI,KAAK;AACjC,QAAM,eAAe,QAAQ,CAAC,KAAK,OAAO,MAAM,CAAC,KAAK,MAAM,OAAO,MAAM,CAAC,KAAK,KAAK,MAAM;AAC1F,EAAG,GAAQ,CAACA,IAAE,QAAQA,IAAE,QAAQA,IAAE,MAAMA,IAAE,SAASA,IAAE,GAAG,CAAC;AACzD,SAAO;AACT;;;ACvVA;AAIO,IAAM,MAAN,MAAU;AAAA,EAgGf,cAAc;AA9Fd;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA,oCAAmB;AAEnB;AAAA,iCAAgB;AAEhB;AAAA,oCAAqB,CAAC;AAEtB;AAAA;AAEA;AAAA;AAEA;AAAA;AAIA;AAAA;AAEA;AAAA,mCAAmB;AAEnB;AAAA,sCAGI;AAAA,MACA,SAAS;AAAA,MACT,KAAK;AAAA,IACP;AAEF;AAAA,gCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,MAAM;AAAA,MACN,aAAa;AAAA,IACf;AAEF;AAAA,iCAOI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,MACT,UAAU;AAAA,MACV,QAAQ;AAAA,MACR,QAAQ;AAAA,IACV;AAEF;AAAA,kCAII;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,IACX;AAEF;AAAA,+BAGI;AAAA,MACA,OAAO;AAAA,MACP,OAAO,CAAC;AAAA,IACV;AAEF;AAAA,mCAAoB,CAAC;AAGrB;AAAA;AACA;AACA;AAYE,SAAK,UAAU,OAAO,cAAc;AACpC,SAAK,OAAQ,OAAO,YAAY,eAAiB,OAAO,QAAQ,aAAa,eAAiB,OAAO,QAAQ,SAAS,SAAS;AAC/H,SAAK,OAAO,EAAE,SAAY,IAAQ,WAAW,EAAE;AAC/C,SAAK,YAAY,OAAO,oBAAoB;AAC5C,SAAK,UAAU;AAGf,SAAK,SAAS,KAAK,WAAW,KAAK,YAAa,OAAO,sBAAsB,cAAe;AAC5F,QAAK,OAAO,cAAc,eAAiB,OAAO,UAAU,cAAc,aAAc;AACtF,YAAM,QAAQ,UAAU,aAAa;AACrC,YAAM,MAAM,MAAM,MAAM,eAAe;AACvC,UAAI,2BAAM,IAAI;AACZ,cAAM,gBAAgB,IAAI,CAAC,EAAE,MAAM,eAAe;AAClD,aAAK,YAAY,+CAAgB,MAAM,cAAc,CAAC,EAAE,QAAQ,UAAU,EAAE,IAAI;AAChF,aAAK,QAAQ,MAAM,QAAQ,IAAI,CAAC,GAAG,EAAE;AACrC,YAAI,KAAK,SAAS,CAAC;AAAG,eAAK,QAAQ,KAAK,MAAM,QAAQ,IAAI,CAAC,GAAG,EAAE;AAChE,aAAK,QAAQ,KAAK,MAAM,QAAQ,OAAO,GAAG;AAAA,MAC5C;AAAA,IACF,WAAW,OAAO,YAAY,aAAa;AACzC,WAAK,WAAW,GAAG,QAAQ,YAAY,QAAQ;AAC/C,WAAK,QAAQ,UAAU,QAAQ;AAAA,IACjC;AAAA,EACF;AAAA,EAhCA,IAAI,SAAS;AAAE,WAAO,mBAAK;AAAA,EAAS;AAAA,EACpC,IAAI,OAAO,KAAK;AAAE,uBAAK,SAAU;AAAK,eAAW,SAAS;AAAA,EAAK;AAAA,EAC/D,IAAI,QAAQ;AAAE,WAAO,mBAAK;AAAA,EAAQ;AAAA;AAAA,EAElC,IAAI,MAAM,KAAK;AAAE,uBAAK,QAAS;AAAK,eAAW,QAAQ;AAAA,EAAK;AAAA,EAC5D,IAAI,YAAY;AAAE,WAAO,mBAAK;AAAA,EAAY;AAAA;AAAA,EAE1C,IAAI,UAAU,KAAK;AAAE,uBAAK,YAAa;AAAK,eAAW,YAAY;AAAA,EAAK;AAAA;AAAA,EA4BxE,MAAM,gBAAgB;AAEpB,SAAK,WAAW,OAAO,KAAQ,GAAO,EAAE,eAAe;AACvD,QAAI;AACF,WAAK,aAAa;AAAA,QAChB,SAAa,IAAQ,EAAE,SAAS,IAAO,IAAQ,EAAE,SAAS,EAAE,aAAa;AAAA,QACzE,KAAS,IAAQ,EAAE,SAAS,IAAO,IAAQ,EAAE,SAAS,EAAE,iBAAiB,IAAI;AAAA,MAC/E;AAAA,IACF,SAAQ,GAAN;AAAA,IAAa;AACf,SAAK,KAAK,YAAY,OAAO,gBAAgB;AAC7C,SAAK,KAAK,UAAU,KAAK,SAAS,SAAS,MAAM;AACjD,QAAI,KAAK,KAAK,aAAa,KAAK,KAAK,SAAS;AAC5C,WAAK,KAAK,OAAO,MAAS,EAAI,EAAE,SAAS,uBAAuB;AAChE,WAAK,KAAK,cAAc,MAAS,EAAI,EAAE,SAAS,8BAA8B;AAAA,IAChF;AACA,UAAM,IAAU,OAAO,KAAK,GAAG;AAC/B,UAAMC,MAAK,IAAI,EAAE,WAAW,QAAQ,IAA8B;AAClE,SAAK,MAAM,YAAY,OAAOA,QAAO;AACrC,SAAK,MAAM,UAAU,KAAK,SAAS,SAAS,OAAO;AACnD,QAAI,KAAK,MAAM,aAAa,KAAK,MAAM,WAAWA,KAAI;AACpD,WAAK,MAAM,UAAUA,IAAG,aAAaA,IAAG,OAAO;AAC/C,WAAK,MAAM,SAASA,IAAG,aAAaA,IAAG,MAAM;AAC7C,WAAK,MAAM,WAAWA,IAAG,aAAaA,IAAG,QAAQ;AACjD,WAAK,MAAM,SAASA,IAAG,aAAaA,IAAG,wBAAwB;AAAA,IACjE;AACA,SAAK,OAAO,YAAY,KAAK,WAAW,OAAO,cAAc,eAAe,OAAO,UAAU,QAAQ;AACrG,SAAK,OAAO,UAAU,KAAK,SAAS,SAAS,QAAQ;AACrD,QAAI;AACF,UAAI,KAAK,OAAO,WAAW;AACzB,cAAM,UAAU,MAAM,UAAU,IAAI,eAAe;AACnD,aAAK,OAAO,UAAU,OAAM,mCAAS;AAAA,MACvC;AAAA,IACF,SAAQ,GAAN;AACA,WAAK,OAAO,YAAY;AAAA,IAC1B;AACA,QAAI;AACF,WAAK,UAAa,GAAwB,IAAW,CAAC,EAAE,IAAI,CAAC,WAAW,OAAO,WAAW,YAAY,CAAC;AAAA,IACzG,SAAQ,GAAN;AAAA,IAAa;AAAA,EACjB;AAAA;AAAA,EAGA,YAAY;AACV,UAAM,MAAM,EAAE,OAAO,IAAI,OAAO,CAAC,EAAE;AACnC,QAAI,KAAK,QAAQ,KAAK,SAAS,WAAW,OAAO,GAAG;AAAA,IAWpD;AACA,QAAI,CAAC,KAAK;AAAK,aAAO,eAAe,MAAM,OAAO,EAAE,OAAO,IAAI,CAAC;AAAA;AAC3D,WAAK,MAAM;AAAA,EAClB;AACF;AAjGE;AACA;AACA;AAiGK,IAAM,MAAM,IAAI,IAAI;;;AC/JpB,IAAM,SAAN,MAAa;AAAA,EAUlB,cAAc;AARd;AAAA;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA,mCAA6B,CAAC;AA2D9B,wBAAO,aAAY,YAAwC;AACzD,UAAI;AACF,cAAM,UAAU,MAAM,UAAU,aAAa,iBAAiB;AAC9D,aAAK,UAAU,QAAQ,OAAO,CAAC,WAAW,OAAO,SAAS,YAAY;AAAA,MACxE,SAAQ,GAAN;AACA,aAAK,UAAU,CAAC;AAAA,MAClB;AACA,aAAO,KAAK;AAAA,IACd;AAGA;AAAA,wBAAO,SAAQ,OAAO,iBAAwD;AAzGhF,UAAAC,KAAAC;AA2GI,UAAI,6CAAc;AAAO,aAAK,OAAO,QAAQ,6CAAc;AAC3D,UAAI,6CAAc;AAAM,aAAK,OAAO,OAAO,6CAAc;AACzD,UAAI,6CAAc;AAAM,aAAK,OAAO,OAAO,6CAAc;AACzD,UAAI,6CAAc;AAAO,aAAK,OAAO,QAAQ,6CAAc;AAC3D,UAAI,6CAAc;AAAQ,aAAK,OAAO,SAAS,6CAAc;AAC7D,UAAI,6CAAc;AAAI,aAAK,OAAO,KAAK,6CAAc;AAGrD,UAAI,6CAAc,SAAS;AACzB,YAAI,OAAO,aAAa,YAAY,UAAU;AAC5C,gBAAMC,MAAK,SAAS,eAAe,aAAa,OAAO;AACvD,cAAIA,OAAMA,eAAc,kBAAkB;AACxC,iBAAK,UAAUA;AAAA,UACjB,OAAO;AACL,gBAAI,KAAK,OAAO;AAAO,kBAAI,UAAU,0BAA0B,aAAa,OAAO;AACnF;AAAA,UACF;AAAA,QACF,WAAW,aAAa,mBAAmB,kBAAkB;AAC3D,eAAK,UAAU,aAAa;AAAA,QAC9B,OAAO;AACL,cAAI,KAAK,OAAO;AAAO,gBAAI,UAAU,uBAAuB,aAAa,OAAO;AAChF;AAAA,QACF;AAAA,MACF,OAAO;AACL,aAAK,UAAU,SAAS,cAAc,OAAO;AAAA,MAC/C;AAGA,YAAM,uBAA+C;AAAA,QACnD,OAAO;AAAA,QACP,OAAO;AAAA,UACL,YAAY,KAAK,OAAO,SAAS,UAAU,SAAS;AAAA;AAAA,UAEpD,YAAY,KAAK,OAAO,OAAO,mBAAmB;AAAA,QACpD;AAAA,MACF;AACA,YAAIF,MAAA,KAAK,WAAL,gBAAAA,IAAa,SAAQ;AAAG,QAAC,qBAAqB,MAAgC,QAAQ,EAAE,OAAO,KAAK,OAAO,MAAM;AACrH,YAAIC,MAAA,KAAK,WAAL,gBAAAA,IAAa,UAAS;AAAG,QAAC,qBAAqB,MAAgC,SAAS,EAAE,OAAO,KAAK,OAAO,OAAO;AACxH,UAAI,KAAK,OAAO;AAAI,QAAC,qBAAqB,MAAkC,WAAW,KAAK,OAAO;AAGnG,WAAK,QAAQ,iBAAiB,QAAQ,MAAM;AAAE,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,MAAM;AAAA,MAAG,CAAC;AAC7F,WAAK,QAAQ,iBAAiB,SAAS,MAAM;AAAE,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,OAAO;AAAA,MAAG,CAAC;AAC/F,WAAK,QAAQ,iBAAiB,SAAS,YAAY;AACjD,YAAI,CAAC,KAAK,WAAW,CAAC,KAAK;AAAQ;AACnC,YAAI,KAAK,QAAQ;AAAQ,gBAAM,KAAK,QAAQ,KAAK;AAAA;AAC5C,eAAK,QAAQ,MAAM;AAAA,MAC1B,CAAC;AAGD,UAAI,EAAC,uCAAW,eAAc;AAC5B,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,YAAY;AACjD;AAAA,MACF;AACA,UAAI;AACF,aAAK,SAAS,MAAM,UAAU,aAAa,aAAa,oBAAoB;AAAA,MAC9E,SAAS,KAAP;AACA,YAAI,UAAU,GAAG;AACjB;AAAA,MACF;AACA,UAAI,CAAC,KAAK,QAAQ;AAChB,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,WAAW;AAChD;AAAA,MACF;AACA,WAAK,QAAQ,YAAY,KAAK;AAC9B,YAAM,QAAQ,IAAI,QAAQ,CAAC,YAAY;AACrC,YAAI,CAAC,KAAK;AAAS,kBAAQ,KAAK;AAAA;AAC3B,eAAK,QAAQ,eAAe,MAAM,QAAQ,IAAI;AAAA,MACrD,CAAC;AACD,YAAM;AACN,YAAM,KAAK,QAAQ,KAAK;AAExB,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,UAAU;AAAA,UACZ,OAAO,KAAK;AAAA,UACZ,QAAQ,KAAK;AAAA,UACb,OAAO,KAAK;AAAA,UACZ,QAAQ,KAAK;AAAA,UACb,OAAO,KAAK;AAAA,UACZ,UAAU,KAAK;AAAA,UACf,aAAa,KAAK;AAAA,UAClB,cAAc,KAAK;AAAA,QACrB,CAAC;AAAA,MACH;AAAA,IACF;AAGA;AAAA,wBAAO,SAAQ,MAAY;AACzB,UAAI,KAAK;AAAS,aAAK,QAAQ,MAAM;AAAA,IACvC;AAGA;AAAA,wBAAO,QAAO,YAA2B;AACvC,UAAI,KAAK;AAAS,cAAM,KAAK,QAAQ,KAAK;AAAA,IAC5C;AAGA;AAAA,wBAAO,QAAO,MAAY;AACxB,UAAI,KAAK,OAAO;AAAO,YAAI,UAAU,MAAM;AAC3C,UAAI,KAAK;AAAO,aAAK,MAAM,KAAK;AAAA,IAClC;AAzKE,SAAK,SAAS;AAAA,MACZ,SAAS;AAAA,MACT,OAAO;AAAA,MACP,MAAM;AAAA,MACN,MAAM;AAAA,MACN,OAAO;AAAA,MACP,QAAQ;AAAA,IACV;AAAA,EACF;AAAA;AAAA,EAGA,IAAW,QAAsC;AAC/C,QAAI,CAAC,KAAK;AAAQ,aAAO;AACzB,WAAO,KAAK,OAAO,eAAe,EAAE,CAAC;AAAA,EACvC;AAAA;AAAA,EAGA,IAAW,eAAmD;AAC5D,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM,kBAAkB,KAAK,MAAM,gBAAgB,IAAI;AAAA,EACrE;AAAA;AAAA,EAGA,IAAW,cAAiD;AAC1D,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM,iBAAiB,KAAK,MAAM,eAAe,IAAI;AAAA,EACnE;AAAA;AAAA,EAGA,IAAW,WAA2C;AACpD,QAAI,CAAC,KAAK;AAAQ,aAAO;AACzB,UAAM,QAA0B,KAAK,OAAO,eAAe,EAAE,CAAC;AAC9D,WAAO,MAAM,cAAc,MAAM,YAAY,IAAI;AAAA,EACnD;AAAA;AAAA,EAGA,IAAW,QAAgB;AACzB,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM;AAAA,EACpB;AAAA;AAAA,EAGA,IAAW,SAAkB;AAhF/B,QAAAD;AAiFI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,WAAU;AAAA,EACjC;AAAA;AAAA,EAGA,IAAW,QAAgB;AArF7B,QAAAA;AAsFI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,eAAc;AAAA,EACrC;AAAA;AAAA,EAGA,IAAW,SAAiB;AA1F9B,QAAAA;AA2FI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,gBAAe;AAAA,EACtC;AAoHF;;;AChNA;AAAA;AAAA,+BAAAG;AAAA,EAAA;AAAA,yBAAAC;AAAA,EAAA;AAAA;AAAA,0BAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA,4BAAAC;AAAA,EAAA,wBAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA,wBAAAC;AAAA,EAAA;AAAA;AAAA;AAAA,gCAAAC;AAAA,EAAA,+BAAAC;AAAA,EAAA,0BAAAC;AAAA,EAAA;AAAA;AAAA;AAAA,8BAAAC;AAAA,EAAA,kCAAAC;AAAA,EAAA,iCAAAC;AAAA,EAAA,kCAAAC;AAAA,EAAA;AAAA,wBAAAC;AAAA,EAAA;AAAA,mBAAAC;AAAA,EAAA,iBAAAC;AAAA,EAAA;AAAA,8BAAAC;AAAA,EAAA;AAAA,6BAAAC;AAAA,EAAA,2BAAAC;AAAA,EAAA,6BAAAC;AAAA,EAAA;AAAA;AAAA,uCAAAC;AAAA,EAAA,uCAAAC;AAAA,EAAA,uCAAAC;AAAA,EAAA,qCAAAC;AAAA,EAAA,qCAAAC;AAAA,EAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAAAC;AAAA,EAAA,2BAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA;AAAA,qBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA;AAAA;AAAA;AAAA;AACE,gBAAa;AACb,gBAAa;AACb,gBAAa;AACb,cAAW;AACX,eAAY;AACZ,cAAW;AACX,IAAAb,oBAAqB;AACrB,gBAAa;AACb,WAAQ;AACR,eAAY;AACZ,aAAU;AACV,IAAAO,oBAAqB;AACrB,IAAA3B,sBAAuB;AACvB,UAAO;AACP,IAAAE,iBAAkB;AAClB,IAAAC,kBAAmB;AACnB,IAAAC,qBAAsB;AACtB,IAAAC,iBAAkB;AAClB,IAAAC,kBAAmB;AACnB,IAAAC,iBAAkB;AAClB,oBAAiB;AACjB,gBAAa;AACb,IAAAK,2BAA4B;AAC5B,IAAAD,qBAAsB;AACtB,IAAAE,0BAA2B;AAC3B,IAAAC,2BAA4B;AAC5B,IAAAC,eAAgB;AAChB,IAAAC,UAAW;AACX,IAAAC,UAAW;AACX,WAAQ;AACR,IAAAC,qBAAsB;AACtB,aAAU;AACV,iBAAc;AACd,IAAAC,oBAAqB;AACrB,IAAAE,sBAAuB;AACvB,mBAAgB;AAChB,WAAQ;AACR,iBAAc;AACd,oBAAiB;AACjB,IAAAO,oBAAqB;AACrB,IAAAC,kBAAmB;AACnB,cAAW;AACX,cAAW;AACX,UAAO;AACP,aAAU;AACV,IAAA5B,gBAAiB;AACjB,IAAAO,uBAAwB;AACxB,IAAAC,wBAAyB;AACzB,IAAAC,mBAAoB;AACpB,IAAAY,8BAA+B;AAC/B,IAAAC,gCAAiC;AACjC,IAAAC,gCAAiC;AACjC,IAAAC,8BAA+B;AAC/B,IAAAC,8BAA+B;AAC/B,IAAAI,YAAa;AACb,IAAAC,YAAa;AACb,IAAAC,YAAa;AACb,IAAAC,YAAa;AA1Df;AAAA,EACE;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAb;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAO;AAAA,EACA,uBAAA3B;AAAA,EACA;AAAA,EACA,kBAAAE;AAAA,EACA,mBAAAC;AAAA,EACA,sBAAAC;AAAA,EACA,kBAAAC;AAAA,EACA,mBAAAC;AAAA,EACA,kBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA,4BAAAK;AAAA,EACA,sBAAAD;AAAA,EACA,2BAAAE;AAAA,EACA,4BAAAC;AAAA,EACA,gBAAAC;AAAA,EACA,WAAAC;AAAA,EACA,WAAAC;AAAA,EACA;AAAA,EACA,sBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAC;AAAA,EACA,uBAAAE;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAO;AAAA,EACA,mBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,iBAAA5B;AAAA,EACA,wBAAAO;AAAA,EACA,yBAAAC;AAAA,EACA,oBAAAC;AAAA,EACA,+BAAAY;AAAA,EACA,iCAAAC;AAAA,EACA,iCAAAC;AAAA,EACA,+BAAAC;AAAA,EACA,+BAAAC;AAAA,EACA,aAAAI;AAAA,EACA,aAAAC;AAAA,EACA,aAAAC;AAAA,EACA,aAAAC;AACF;;;ACrDA,IAAM,UAAU;AAAA,EACd,aAAa;AAAA,EACb,gBAAgB;AAAA,EAChB,SAAS;AAAA,EACT,OAAO;AAAA,EACP,eAAe;AACjB;AAWO,IAAM,aAAwC,CAAC;AAEtD,eAAe,YAAY,KAAaC,OAA8C;AACpF,MAAI,QAAQ;AAAO,QAAI,qBAAqB,KAAKA,KAAI;AACrD,SAAO,MAAM,KAAKA,KAAI;AACxB;AAEO,SAAS,oBAAoBC,SAAgB;AAClD,UAAQ,cAAcA,QAAO;AAC7B,UAAQ,UAAUA,QAAO;AACzB,UAAQ,gBAAgBA,QAAO;AACjC;AAEA,eAAsB,UAAU,WAAoD;AApCpF,MAAAC,KAAAC,KAAAC,KAAAC;AAqCE,MAAI,WAAW,KAAK,QAAQ,eAAe,aAAa,EAAE;AAC1D,MAAI,CAAC,SAAS,YAAY,EAAE,SAAS,OAAO;AAAG,gBAAY;AAC3D,QAAM,oBAAoB,SAAS,SAAS,GAAG,IAAI,SAAS,MAAM,GAAG,IAAI,SAAS,MAAM,IAAI;AAC5F,QAAM,iBAAiB,kBAAkB,kBAAkB,SAAS,CAAC,EAAE,QAAQ,SAAS,EAAE;AAC1F,QAAM,kBAAkB,iBAAiB;AACzC,aAAW,cAAc,IAAI;AAAA,IAC3B,MAAM;AAAA,IACN,kBAAkB;AAAA,IAClB,mBAAmB;AAAA,IACnB,aAAa,eAAW,cAAc;AAAA,IACtC,SAAS;AAAA,IACT,KAAK;AAAA,EACP;AACA,UAAQ,iBAAkB,OAAO,cAAc;AAC/C,MAAI,eAAe,CAAC;AACpB,MAAI;AACF,mBAAgB,QAAQ,kBAAkB,QAAQ,cAAe,MAAS,GAAG,WAAW,IAAI,CAAC;AAAA,EAC/F,SAAQ,GAAN;AACA,YAAQ,iBAAiB;AAAA,EAC3B;AACA,aAAW,cAAc,EAAE,UAAW,QAAQ,kBAAkB,QAAQ,eAAgB,OAAO,KAAK,YAAY,EAAE,SAAS,eAAe;AAC1I,aAAW,cAAc,EAAE,MAAM,WAAW,cAAc,EAAE,UAAU,kBAAkB;AACxF,QAAM,gBAAgB,OAAO,UAAU,cAAc,CAAC,IAAI,EAAE,WAAW,CAAC,KAAaL,UAAuB,YAAY,KAAKA,KAAI,EAAE;AACnI,MAAIM,UAAoB,IAAO,GAAW,WAAW,cAAc,EAAE,KAAK,aAAa;AACvF,MAAI,SAAS;AACb,MAAI;AAEF,IAAAA,QAAM,cAAc;AACpB,QAAI,QAAQ;AAAO,UAAI,uBAAuBA,QAAM,SAAS,CAAC;AAAA,EAChE,SAAS,KAAP;AACA,QAAI,oCAAoC,UAAU,GAAG;AAAA,EACvD;AACA,MAAI;AAEF,UAAM,YAAY,QAAMJ,MAAAI,QAAM,YAAN,gBAAAJ,IAAe,WAAU;AACjD,eAAW,cAAc,EAAE,qBAAmBC,MAAA,uCAAW,eAAX,gBAAAA,IAAuB,eAAc;AACnF,QAAI;AAAW,MAAAG,QAAM,SAAS,SAAS;AAAA;AAClC,MAAAA,UAAQ,MAAS,GAAe,WAAW,cAAc,EAAE,UAAU,kBAAkB,UAAU,aAAa;AAEnH,eAAW,cAAc,EAAE,sBAAoBD,OAAAD,MAAAE,QAAM,cAAN,gBAAAF,IAAiB,eAAjB,gBAAAC,IAA6B,eAAc;AAC1F,QAAI,QAAQ;AAAS,UAAI,SAAS,EAAE,OAAO,gBAAgB,KAAKC,QAAM,UAAU,GAAG,OAAO,WAAW,cAAc,EAAE,kBAAkB,CAAC;AACxI,aAAS;AAAA,EACX,SAAS,KAAP;AACA,QAAI,wBAAwB,UAAU,GAAG;AAAA,EAC3C;AACA,MAAI,UAAU,QAAQ,eAAe,QAAQ,kBAAkB,CAAC,WAAW,cAAc,EAAE,SAAS;AAClG,QAAI;AACF,YAAM,aAAa,MAAMA,QAAM,KAAK,eAAe;AACnD,UAAI,QAAQ;AAAO,YAAI,gBAAgB,iBAAiB,UAAU;AAAA,IACpE,SAAS,KAAP;AACA,UAAI,uBAAuB,UAAU,GAAG;AAAA,IAC1C;AAAA,EACF;AACA,SAAOA;AACT;;;ACzFE,cAAW;;;ACMN,IAAMC,UAAS;AAAA,EACpB,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAQ;AAAA,EACR,IAAI;AAAA,EACJ,YAAY,CAAC;AAAA,EACb,WAAW;AAAA;AAAA,IACT,OAAO;AAAA,IACP,WAAW;AAAA,IACX,oBAAoB;AAAA,IACpB,uBAAuB;AAAA,IACvB,OAAO;AAAA,IACP,SAAS;AAAA,IACT,8BAA8B;AAAA;AAAA,IAC9B,gBAAgB;AAAA;AAAA,EAClB;AACF;AAEA,SAAS,aAAmB;AAK1B,QAAMC,MAAKD,QAAO;AAClB,MAAI,CAACC;AAAI;AACT,EAAAD,QAAO,aAAaC,IAAG,uBAAuB;AAEhD;AAOO,SAAS,SAAS,UAAuB;AA1ChD,MAAAC;AA4CE,MAAI,SAAS,OAAO,YAAY;AAAW;AAC3C,MAAKF,QAAO,QAAW,GAAO,EAAE,YAAa,GAACE,MAAAF,WAAA,gBAAAA,QAAQ,OAAR,gBAAAE,IAAY,aAAaF,QAAO,GAAG,WAAU;AACzF,QAAI,wCAAwC;AAC5C,aAAS,OAAO,MAAM;AAAA,EAMxB;AACA,MAAI,CAAI,IAAYA,QAAO,IAAI,GAAG;AAChC,QAAI;AACF,MAAAA,QAAO,SAAe,OAAO,KAAK,GAAG;AAAA,IACvC,SAAS,KAAP;AACA,UAAI,wCAAwC,GAAG;AAC/C;AAAA,IACF;AACA,QAAI;AACF,MAAAA,QAAO,KAAKA,QAAO,OAAO,WAAW,UAAUA,QAAO,SAAS;AAC/D,UAAI,CAACA,QAAO,IAAI;AACd,YAAI,yCAAyC;AAC7C;AAAA,MACF;AACA,YAAM,OAAOA,QAAO,GAAG,aAAaA,QAAO,GAAG,OAAO,EAAE,SAAS,KAAK;AACrE,UAAI,CAAC,MAAM;AACT,YAAI,6EAA6E;AACjF,iBAAS,OAAO,UAAU;AAC1B;AAAA,MACF;AACA,UAAIA,QAAO,QAAQ;AACjB,QAAAA,QAAO,OAAO,iBAAiB,oBAAoB,CAAC,MAAM;AACxD,cAAI,kBAAkB,EAAE,IAAI;AAC5B,cAAI,0FAA0F;AAC9F,mBAAS,KAAK,OAAO;AACrB,gBAAM,IAAI,MAAM,mCAAmC;AAAA,QACrD,CAAC;AACD,QAAAA,QAAO,OAAO,iBAAiB,wBAAwB,CAAC,MAAM;AAC5D,cAAI,oCAAoC,CAAC;AAAA,QAC3C,CAAC;AACD,QAAAA,QAAO,OAAO,iBAAiB,6BAA6B,CAAC,MAAM;AACjE,cAAI,kCAAkC,CAAC;AAAA,QACzC,CAAC;AAAA,MACH;AAAA,IACF,SAAS,KAAP;AACA,UAAI,4CAA4C,GAAG;AACnD;AAAA,IACF;AACA,QAAI;AACF,MAAG,GAAgB,GAAGA,QAAO,EAAE;AAAA,IACjC,SAAS,KAAP;AACA,UAAI,4CAA4C,GAAG;AACnD;AAAA,IACF;AACA,QAAI;AACF,YAAM,MAAM,IAAO,GAAaA,QAAO,EAAE;AAEzC,MAAG,GAAgBA,QAAO,MAAM,MAAM,IAAO,GAAiB,GAAG,GAAGA,QAAO,QAAQ;AAAA,IACrF,SAAS,KAAP;AACA,UAAI,iDAAiD,GAAG;AACxD;AAAA,IACF;AACA,QAAI;AACF,YAAM,UAAa,GAAqB,OAAO;AAC/C,cAAQ,QAAQ,CAAC,iBAAiB;AAChC,cAAM,kBAAkB,EAAE,GAAG,cAAc,aAAaA,QAAO,KAAK;AACpE,QAAG,GAAe,eAAe;AAAA,MACnC,CAAC;AAAA,IACH,SAAS,KAAP;AACA,UAAI,4DAA4D,GAAG;AACnE;AAAA,IACF;AACA,QAAI;AAEF,UAAO,EAAI,EAAE,aAAa;AAAe,QAAG,EAAI,EAAE,IAAI,iBAAiB,CAAC;AAAA,IAC1E,SAAS,KAAP;AACA,UAAI,kDAAkD,GAAG;AACzD;AAAA,IACF;AACA,eAAW;AACX,UAAM,UAAa,IAAQ;AAC3B,UAAM,UAAU,OAAO,QAAQ,OAAO,MAAM,cAAc,QAAQ,iBAAiB,EAAE,EAAE,KAAK;AAC5F,QAAI,SAAS;AACX,UAAI,SAAS,OAAO;AAAO,YAAI,+BAA+B,EAAE,OAAO,QAAQ,aAAa,QAAQ,OAAO,GAAa,UAAU,QAAQ,aAAa,QAAQ,QAAQ,EAAY,CAAC;AAAA,IACtL,OAAO;AACL,UAAI,yCAAyC,SAASA,QAAO,EAAE;AAAA,IACjE;AAAA,EACF;AACF;;;AChIO,IAAM,YAAwD;AAAA,EACnE,OAAO;AAAA,EACP,KAAK;AAAA,EACL,KAAK;AAAA,EACL,MAAM;AAAA,EACN,OAAO;AAAA,EACP,KAAK,CAAC,QAAQ,OAAQ,KAAM;AAC9B;AAEO,SAAS,OAAO;AACrB,YAAU,QAAW,GAAO,KAAO,SAAS;AAC5C,YAAU,MAAS,GAAO,GAAK,SAAS;AACxC,YAAU,MAAS,GAAO,GAAK,SAAS;AACxC,YAAU,OAAU,GAAO,KAAK,SAAS;AACzC,YAAU,QAAW,GAAO,OAAO,SAAS;AAC5C,YAAU,MAAS,GAAS,CAAC,QAAQ,OAAQ,KAAM,GAAG,SAAS;AACjE;;;ACTA,eAAsB,iBAAuC;AAV7D,MAAAG;AAWE,QAAM,IAAI,cAAc;AACxB,OAAIA,MAAA,IAAI,eAAJ,gBAAAA,IAAgB;AAAS,WAAO;AACpC,MAAI,IAAI,OAAO,aAAa,IAAI,OAAO;AAAS,WAAO;AACvD,MAAI,IAAI,MAAM,aAAa,IAAI,MAAM;AAAS,WAAO;AACrD,MAAI,IAAI,KAAK,aAAa,IAAI,KAAK;AAAS,WAAO;AACnD,SAAO;AACT;AAEA,SAAS,kBAAkBC,SAAgB;AACzC,QAAM,aAAuB,CAAC;AAC9B,MAAI,CAAC,IAAI,QAAQ,SAAS,KAAK,GAAG;AAChC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAAC,OAAU,GAAK,MAAS,GAAI,GAAG,OAAO,GAAM,GAAO,GAAI,GAAG,OAAO,GAAG,GAAG,OAAO,CAAC,GAAG,GAAG,OAAO,CAAC,CAAC,CAAC;AAAA,IAC9G;AACA,IAAG,GAAe,SAAS;AAC3B,QAAI,QAAQ,KAAK,KAAK;AACtB,eAAW,KAAK,KAAK;AAAA,EACvB;AACA,MAAI,CAAC,IAAI,QAAQ,SAAS,UAAU,GAAG;AACrC,UAAM,iBAAiB;AAAA,MACrB,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAAC,OAAU,GAAK,MAAS,GAAO,GAAO,GAAS,GAAG,OAAO,GAAG,GAAG,OAAO,CAAC,GAAG,GAAG,OAAO,CAAC,GAAM,GAAI,GAAG,OAAO,GAAG,GAAG,OAAO,CAAC,CAAC,CAAC;AAAA,IACxI;AACA,IAAG,GAAe,cAAc;AAChC,QAAI,QAAQ,KAAK,UAAU;AAC3B,eAAW,KAAK,UAAU;AAAA,EAC5B;AAqBA,MAAI,CAAC,IAAI,QAAQ,SAAS,kBAAkB,KAAKA,QAAO,iBAAiB;AACvE,UAAM,yBAAyB;AAAA,MAC7B,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAAC,OAAU,GAAK,MAAM;AAChC,cAAM,UAAa,IAAW;AAC9B,QAAG,IAAW,KAAK;AACnB,cAAMC,MAAO,GAAM,iBAAiB,GAAG,OAAO,OAAO,GAAG,MAAM,SAAS,GAAG,MAAM,WAAW,GAAG,MAAM,MAAM;AAC1G,QAAG,IAAW,OAAO;AACrB,eAAOA;AAAA,MACT,CAAC;AAAA,IACH;AACA,IAAG,GAAe,sBAAsB;AACxC,QAAI,QAAQ,KAAK,kBAAkB;AACnC,eAAW,KAAK,kBAAkB;AAAA,EACpC;AACA,MAAK,WAAW,SAAS,KAAMD,QAAO;AAAO,QAAI,uBAAuB,UAAU;AACpF;AAEA,IAAI,eAAwC,CAAC;AAE7C,eAAsB,MAAM,UAAiB,QAAQ,OAAO;AAlF5D,MAAAD,KAAAG;AAmFE,WAAS,QAAQ;AACjB,QAAIH,MAAA,SAAS,OAAO,YAAhB,gBAAAA,IAAyB,YAAW;AAAG,aAAS,OAAO,UAAU,MAAM,eAAe;AAC1F,MAAI,SAAS,IAAI,WAAY,SAAS,OAAO,WAAY,SAAS,OAAO,QAAQ,SAAS,KAAU,IAAW,MAAM,SAAS,OAAO,SAAW;AAC9I,UAAM,YAAY,IAAI;AAEtB,QAAI,SAAS,OAAO,WAAW,SAAS,OAAO,QAAQ,SAAS,GAAG;AAGjE,UAAI,OAAO,WAAW,eAAe,OAAO,sBAAsB,eAAe,SAAS,OAAO,OAAO;AACtG,YAAI,SAAS,OAAO;AAAO,cAAI,2BAA2B;AAAA,MAC5D;AAEA,UAAI,OAAO,cAAc,iBAAeG,MAAA,uCAAW,cAAX,gBAAAA,IAAsB,cAAc,SAAS,cAAa;AAChG,YAAI,SAAS,OAAO;AAAO,cAAI,yBAAyB;AAAA,MAC1D;AAGA,UAAI,YAAY,OAAO,KAAQ,GAAO,EAAE,eAA0C;AAClF,UAAI,SAAS,OAAO,YAAY,aAAa,CAAC,UAAU,SAAS,SAAS,GAAG;AAC3E,QAAQ,SAAS,QAAQ;AACzB,oBAAY,OAAO,KAAQ,GAAO,EAAE,eAA0C;AAAA,MAChF;AACA,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB,SAAS;AAG/D,UAAI,IAAI,WAAW,CAAC,IAAI,QAAS,SAAS,OAAO,YAAY,gBAAiB,UAAU,SAAS,OAAO,GAAG;AACzG,YAAI,SAAS,OAAO;AAAO,cAAI,8DAA8D;AAC7F,iBAAS,OAAO,UAAU;AAAA,MAC5B;AACA,UAAI,IAAI,QAAQ,CAAC,IAAI,YAAY,SAAS,OAAO,YAAY,WAAW,SAAS,OAAO,YAAY,cAAc,UAAU,SAAS,YAAY,GAAG;AAClJ,YAAI,SAAS,OAAO;AAAO,cAAI,4BAA4B,SAAS,OAAO,iCAAiC;AAC5G,iBAAS,OAAO,UAAU;AAAA,MAC5B;AAGA,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,UAAU;AACvD,YAAI,OAAO,cAAc,eAAe,OAAO,UAAU,QAAQ,aAAa;AAC5E,cAAI,qEAAqE;AACzE,mBAAS,OAAO,UAAU;AAAA,QAC5B,OAAO;AACL,gBAAM,UAAU,MAAM,UAAU,IAAI,eAAe;AACnD,cAAI,SAAS,OAAO;AAAO,gBAAI,8BAA8B,OAAO;AACpE,cAAI,CAAC,SAAS;AACZ,gBAAI,sEAAsE;AAC1E,qBAAS,OAAO,UAAU;AAAA,UAC5B,OAAO;AAEL,kBAAM,cAAc,wBAAwB,UAAU,MAAM,QAAQ,mBAAmB,IAAI;AAE3F,gBAAI,wBAAwB,WAAW;AAAA,UACzC;AAAA,QACF;AAAA,MACF;AAEA,UAAI,CAAC,UAAU,SAAS,SAAS,OAAO,OAAO,GAAG;AAChD,YAAI,kBAAkB,SAAS,OAAO,+BAA+B;AACrE,iBAAS,OAAO,UAAU,IAAI,OAAO,eAAe;AACpD,YAAI,SAAS,OAAO;AAAO,cAAI,6BAA6B,SAAS,OAAO,SAAS;AAAA,MACvF;AAEA,UAAI,SAAS,OAAO;AAAO,YAAI,oBAAoB,CAAC,SAAS,OAAO,OAAO,CAAC;AAG5E,UAAI,SAAS,OAAO,YAAY,QAAQ;AAEtC,YAAO,EAAI,EAAE,aAAa;AAA+B,UAAG,EAAI,EAAE,IAAI,iCAAiC,IAAI;AAC3G,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,SAAS,OAAO,QAAQ;AACrE,YAAI,OAAU,QAAiB;AAAa,UAAG,IAAa,SAAS,OAAO,UAAU,SAAS,OAAO,iBAAiB;AAAA;AAClH,gBAAM,IAAI,MAAM,wEAAwE;AAC7F,YAAIC,MAAK;AACT,YAAI,OAAO;AACX,YAAI;AACF,UAAAA,MAAK,MAAS,EAAI,EAAE,SAAS,8BAA8B;AAC3D,iBAAO,MAAS,EAAI,EAAE,SAAS,uBAAuB;AACtD,cAAI,SAAS,OAAO;AAAO,gBAAI,mBAAmB,OAAO,SAAS,aAAaA,MAAK,kBAAkB,kBAAkB;AACxH,cAAI,SAAS,OAAO,SAAS,CAAC;AAAM,gBAAI,2CAA2C;AAAA,QACrF,SAAQ,GAAN;AACA,cAAI,uBAAuB;AAAA,QAC7B;AAAA,MACF;AAEA,UAAI;AACF,cAAS,IAAW,SAAS,OAAO,OAAO;AAC3C,cAAS,IAAM;AAAA,MACjB,SAAS,KAAP;AACA,YAAI,8BAA8B,SAAS,OAAO,SAAS,GAAG;AAC9D,eAAO;AAAA,MACT;AAEA,UAAI,SAAS,OAAO;AAAO,uBAAe,KAAK,MAAM,KAAK,UAAa,EAAI,EAAE,KAAK,CAAC;AAAA,IACrF;AAGA,QAAO,IAAW,MAAM,aAAgB,IAAW,MAAM,SAAS;AAEhE,UAAO,EAAI,EAAE,aAAa;AAA2B,QAAG,EAAI,EAAE,IAAI,6BAA6B,IAAI;AAEnG,UAAO,EAAI,EAAE,aAAa;AAAgB,QAAG,EAAI,EAAE,IAAI,kBAAkB,IAAI;AAK7E,UAAI,SAAS,OAAO,SAAS,OAAO,SAAS,OAAO,eAAe,eAAe,SAAS,OAAO,YAAY;AAC5G,YAAI,mDAAmD,IAAI;AAC3D,QAAG,EAAI,EAAE,IAAI,kCAAkC,CAAC;AAAA,MAClD;AAAA,IACF;AAGA,QAAO,IAAW,MAAM,UAAU;AAAA,IAIlC;AAEA,QAAI,SAAS,OAAO,OAAO;AAEzB,YAAM,WAAc,EAAI,EAAE;AAC1B,YAAM,eAAe,CAAC;AACtB,iBAAW,OAAO,OAAO,KAAK,QAAQ,GAAG;AACvC,YAAI,aAAa,GAAG,MAAM,SAAS,GAAG;AAAG;AACzC,qBAAa,GAAG,IAAI,SAAS,GAAG;AAAA,MAClC;AACA,UAAI,SAAS,OAAO,SAAS,OAAO,KAAK,YAAY,EAAE,SAAS;AAAG,YAAI,YAAe,IAAW,GAAG,UAAU,YAAY;AAAA,IAC5H;AAEA,QAAI,SAAS,OAAO,SAAS,OAAO,KAAK,SAAS,OAAO,KAAK,EAAE,SAAS,GAAG;AAC1E,UAAI,SAAS,OAAO;AAAO,YAAI,UAAU,SAAS,OAAO,OAAO,CAAC;AACjE,iBAAW,CAAC,KAAK,GAAG,KAAK,OAAO,QAAQ,SAAS,OAAO,KAAK,GAAG;AAC9D,QAAG,EAAI,EAAE,IAAI,KAAK,GAAuB;AAAA,MAC3C;AAAA,IACF;AAEA,IAAG,IAAe;AAClB,IAAU,KAAK;AACf,aAAS,YAAY,cAAc,KAAK,MAAM,IAAI,IAAI,SAAS;AAC/D,aAAS,OAAO,UAAa,IAAW;AACxC,UAAM,IAAI,cAAc;AACxB,sBAAkB,SAAS,MAAM;AAAA,EAGnC;AACA,SAAO;AACT;AAGO,SAAS,QAAQ,aAAuBH,SAAQ;AAErD,aAAW,cAAc,aAAa;AACpC,UAAM,eAAe;AAAA,MACnB;AAAA,MACA,aAAaA,QAAO;AAAA,MACpB,YAAY,CAAC,UAAsB;AA3OzC,YAAAD;AA4OQ,YAAIC,QAAO;AAAO,cAAI,cAAc,YAAYA,QAAO,SAAS,KAAK;AACrE,gBAAOD,MAAA,+BAAO,WAAP,gBAAAA,IAAe;AAAA,MACxB;AAAA;AAAA;AAAA,IAGF;AACA,IAAG,GAAe,YAAY;AAAA,EAChC;AACA,MAAI,UAAa,GAAwB,IAAW,CAAC,EAAE,IAAI,CAAC,WAAW,OAAO,WAAW,YAAY,CAAC;AACxG;;;ACrPA;AAAA;AAAA;AAAA;AAAA,gBAAAK;AAAA,EAAA;AAAA;AAAA;AAAA,cAAAC;AAAA,EAAA;AAAA,iBAAAC;AAAA,EAAA;AAAA;;;ACKO,IAAM,mBAAmB,CAAC,UAAqB;AACpD,MAAI,CAAC;AAAO,QAAI,4BAA4B;AAAA,WACnC,CAAC,MAAM;AAAY,QAAI,wCAAwC;AAAA,OACnE;AACH,UAAM,MAAM,MAAM,WAAW,IAAI;AACjC,QAAI,CAAC;AAAK,UAAI,uCAAuC;AAAA;AAChD,aAAO;AAAA,EACd;AACA,SAAO;AACT;AAEO,IAAM,UAAU,CAAC,UAAkB,KAAK,MAAO,QAAQ,MAAO,KAAK,EAAE;AAErE,IAAM,UAAU,CAAC,KAAa,QAAgB,WAA4B,IAAI,QAAQ,QAAQ,OAAO,WAAW,WAAW,OAAO,QAAQ,CAAC,IAAI,MAAM;AAErJ,IAAM,aAAa,CAAC,GAAuB,QAA6B;AAC7E,MAAI,CAAC,IAAI,YAAY,OAAO,MAAM;AAAa,WAAO,IAAI;AAC1D,QAAMC,OAAM,kBAAkB,KAAK,CAAC,MAAO,IAAI,GAAI,MAAO,IAAI,GAAI,GAAG,CAAC;AACtE,SAAO,QAAQA,KAAI,CAAC,MAAMA,KAAI,CAAC,MAAMA,KAAI,CAAC,MAAM,IAAI;AACtD;AAEO,SAAS,OAAO,KAAmE,KAAa,QAAgB,QAAgBC,eAA2B;AAChK,QAAM,OAAiB,IAAI,QAAQ,WAAW,EAAE,EAAE,MAAM,IAAI,EAAE,IAAI,CAAC,MAAM,EAAE,KAAK,CAAC;AACjF,QAAM,IAAI,KAAK,IAAI,GAAG,MAAM;AAC5B,WAAS,IAAI,KAAK,SAAS,GAAG,KAAK,GAAG,KAAK;AACzC,UAAMC,KAAI,IAAID,cAAa,aAAa;AACxC,QAAIA,cAAa,eAAeA,cAAa,gBAAgB,IAAI;AAC/D,UAAI,YAAYA,cAAa;AAC7B,UAAI,SAAS,KAAK,CAAC,GAAG,IAAI,GAAGC,KAAI,EAAE;AAAA,IACrC;AACA,QAAI,YAAYD,cAAa;AAC7B,QAAI,SAAS,KAAK,CAAC,GAAG,IAAI,GAAGC,KAAI,EAAE;AAAA,EACrC;AACF;AAEO,SAAS,MAAM,KAAmE,GAAWA,IAAW,GAAuBD,eAA2B;AAC/J,MAAI,YAAY,WAAW,GAAGA,aAAY;AAC1C,MAAI,UAAU;AACd,MAAI,IAAI,GAAGC,IAAGD,cAAa,WAAW,GAAG,IAAI,KAAK,EAAE;AACpD,MAAI,KAAK;AACX;AAEO,SAAS,KAAK,KAAmE,GAAWC,IAAW,OAAe,QAAgBD,eAA2B;AACtK,MAAI,UAAU;AACd,MAAI,YAAYA,cAAa;AAC7B,MAAIA,cAAa,WAAW;AAC1B,UAAME,OAAM,IAAI,IAAI,SAAS;AAC7B,UAAM,MAAMD,KAAIA,KAAI,UAAU;AAC9B,QAAI,QAAQC,KAAI,IAAI,QAAQ,GAAG,SAAS,GAAG,GAAG,GAAG,IAAI,KAAK,EAAE;AAAA,EAC9D,OAAO;AACL,QAAI,OAAO,IAAIF,cAAa,WAAWC,EAAC;AACxC,QAAI,OAAO,IAAI,QAAQD,cAAa,WAAWC,EAAC;AAChD,QAAI,iBAAiB,IAAI,OAAOA,IAAG,IAAI,OAAOA,KAAID,cAAa,SAAS;AACxE,QAAI,OAAO,IAAI,OAAOC,KAAI,SAASD,cAAa,SAAS;AACzD,QAAI,iBAAiB,IAAI,OAAOC,KAAI,QAAQ,IAAI,QAAQD,cAAa,WAAWC,KAAI,MAAM;AAC1F,QAAI,OAAO,IAAID,cAAa,WAAWC,KAAI,MAAM;AACjD,QAAI,iBAAiB,GAAGA,KAAI,QAAQ,GAAGA,KAAI,SAASD,cAAa,SAAS;AAC1E,QAAI,OAAO,GAAGC,KAAID,cAAa,SAAS;AACxC,QAAI,iBAAiB,GAAGC,IAAG,IAAID,cAAa,WAAWC,EAAC;AACxD,QAAI,UAAU;AAAA,EAChB;AACA,MAAI,OAAO;AACb;AAEO,SAAS,MAAM,KAAmE,QAAiBD,eAA2B;AACnI,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,UAAU;AACd,MAAI,OAAO,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACrC,aAAW,MAAM,QAAQ;AACvB,QAAI,cAAc,WAAW,GAAG,CAAC,KAAK,GAAGA,aAAY;AACrD,QAAI,OAAO,KAAK,MAAM,GAAG,CAAC,CAAC,GAAG,KAAK,MAAM,GAAG,CAAC,CAAC,CAAC;AAAA,EACjD;AACA,MAAI,OAAO;AACX,MAAIA,cAAa,cAAc;AAC7B,QAAI,UAAU;AACd,QAAI,KAAK;AAAA,EACX;AACF;AAEO,SAAS,OAAO,KAAmE,QAAiBA,eAA2B;AACpI,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,YAAYA,cAAa;AAC7B,MAAI,CAACA,cAAa,aAAa,OAAO,UAAU,GAAG;AACjD,UAAM,KAAK,QAAQA,aAAY;AAC/B;AAAA,EACF;AACA,MAAI,OAAO,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACrC,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,GAAG,KAAK;AAC1C,UAAMG,OAAM,OAAO,CAAC,EAAE,CAAC,IAAI,OAAO,IAAI,CAAC,EAAE,CAAC,KAAK;AAC/C,UAAMC,OAAM,OAAO,CAAC,EAAE,CAAC,IAAI,OAAO,IAAI,CAAC,EAAE,CAAC,KAAK;AAC/C,QAAI,iBAAiB,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,GAAGD,KAAIC,GAAE;AAAA,EACzD;AACA,MAAI,iBAAiB,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,CAAC;AAC3I,MAAI,OAAO;AACX,MAAIJ,cAAa,cAAc;AAC7B,QAAI,UAAU;AACd,QAAI,KAAK;AAAA,EACX;AACF;AAEO,SAAS,MAAM,KAAmE,MAAaK,KAAW,SAAS,GAAG;AAC3H,MAAI;AACJ,MAAI;AACJ,MAAIJ;AACJ,MAAI,UAAU;AACd,MAAI,OAAO,KAAK,CAAC,GAAG,KAAK,CAAC,CAAC;AAC3B,MAAI,OAAOI,IAAG,CAAC,GAAGA,IAAG,CAAC,CAAC;AACvB,UAAQ,KAAK,MAAMA,IAAG,CAAC,IAAI,KAAK,CAAC,GAAGA,IAAG,CAAC,IAAI,KAAK,CAAC,CAAC;AACnD,MAAI,SAAS,KAAK,IAAI,KAAK,IAAIA,IAAG,CAAC;AACnC,EAAAJ,KAAI,SAAS,KAAK,IAAI,KAAK,IAAII,IAAG,CAAC;AACnC,MAAI,OAAO,GAAGJ,EAAC;AACf,WAAU,IAAM,KAAQ,IAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,KAAK,IAAII,IAAG,CAAC;AACnC,EAAAJ,KAAI,SAAS,KAAK,IAAI,KAAK,IAAII,IAAG,CAAC;AACnC,MAAI,OAAO,GAAGJ,EAAC;AACf,WAAU,IAAM,KAAQ,IAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,KAAK,IAAII,IAAG,CAAC;AACnC,EAAAJ,KAAI,SAAS,KAAK,IAAI,KAAK,IAAII,IAAG,CAAC;AACnC,MAAI,OAAO,GAAGJ,EAAC;AACf,MAAI,UAAU;AACd,MAAI,OAAO;AACX,MAAI,KAAK;AACX;;;ACnEO,IAAMK,WAAuB;AAAA,EAClC,OAAO;AAAA;AAAA,EACP,YAAY;AAAA;AAAA,EACZ,aAAa;AAAA,EACb,OAAO;AAAA,EACP,MAAM;AAAA,EACN,YAAY;AAAA,EACZ,WAAW;AAAA,EACX,WAAW;AAAA,EACX,WAAW;AAAA,EACX,YAAY;AAAA,EACZ,YAAY;AAAA,EACZ,WAAW;AAAA,EACX,eAAe;AAAA,EACf,cAAc;AAAA,EACd,cAAc;AAAA,EACd,UAAU;AAAA,EACV,cAAc;AAAA,EACd,UAAU;AAAA,EACV,WAAW;AAAA,EACX,YAAY;AAAA,EACZ,YAAY;AAAA,EACZ,gBAAgB;AAAA,EAChB,cAAc;AAAA,EACd,YAAY;AAAA,EACZ,cAAc;AAAA,EACd,eAAe;AACjB;;;AClFO,IAAM,kBAA4C;AAAA,EACvD,YAAY;AAAA,IACV;AAAA,IAAI;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IACtD;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IACvD;AAAA,IAAK;AAAA,IAAI;AAAA,IAAK;AAAA,IAAI;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAI;AAAA,IAAI;AAAA,IAAK;AAAA,IAAI;AAAA,EACpD;AAAA;AAAA;AAAA;AAAA;AAAA,EAKA,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,GAAG;AAAA,EACvD,gBAAgB,CAAC,IAAI,KAAK,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAClE,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EACxD,gBAAgB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjE,oBAAoB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrE,oBAAoB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EAC5D,oBAAoB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrE,oBAAoB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EAC5D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAClD,gBAAgB,CAAC,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EACzD,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG;AAAA;AAAA,EAC7C,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,GAAG;AAAA;AAAA,EACvD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAClD,gBAAgB,CAAC,KAAK,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAC3D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAC5D,mBAAmB,CAAC,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,IAAI,GAAG;AAAA;AAAA,EACtD,mBAAmB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,EAAE;AAAA;AAAA,EAC3C,cAAc,CAAC,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EACtC,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACzD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC/C,aAAa,CAAC,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrC,mBAAmB,CAAC,GAAG;AAAA,EACvB,SAAS,CAAC,CAAC;AAAA,EACX,YAAY,CAAC,CAAC;AAAA,EACd,iBAAiB,CAAC,EAAE;AAAA,EACpB,gBAAgB,CAAC,GAAG;AAAA,EACpB,YAAY,CAAC,GAAG;AAAA,EAChB,WAAW,CAAC,GAAG;AACjB;AAEO,IAAM,gBAAmD;AAAA,EAC9D,OAAO;AAAA,EACP,OAAO;AAAA,EACP,cAAc,CAAC,IAAI,gBAAgB,kBAAkB,CAAC,CAAC;AACzD;AAEO,IAAM,qBAAwD;AAAA,EACnE,SAAS;AAAA,EACT,UAAU;AAAA,EACV,MAAM;AAAA,EACN,OAAO;AAAA,EACP,SAAS;AAAA,EACT,UAAU;AAAA,EACV,cAAc,CAAC,GAAG,CAAC;AACrB;AAEO,IAAM,cAAoD;AAAA;AAAA,EAC/D,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EACzD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAC1D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAC1D,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,EAAE;AAAA;AAAA,EACzD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,gBAAgB,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EACjE,EAAE,KAAK,gBAAgB,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAC3D;AAEO,IAAM,QAA4B;AAAA,EACvC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,gBAAgB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,gBAAgB;AAAA,EAClC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,gBAAgB,iBAAiB;AAAA,EAClC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AACvC;AAEO,IAAM,SAAmB;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACtJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EACr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lJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACtJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC7I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC7I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACnJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EACrJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACp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jJ;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAG;AAwB1I,IAAM,QAAkB;AAAA;AAAA,EACjB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC/E;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC1C;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA;AAAA,EAChC;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACtD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EAChD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAC7C;AAEO,IAAM,QAAkB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,KAAK,KAAK,GAAG,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,KAAK,GAAG;AAE7K,IAAM,OAAiB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI,GAAG;AAErD,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAEtC,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAEtC,IAAM,MAAM,KAAK,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAO3C,SAAS,qBAAqB,aAAwB;AACpD,QAAM,UAAU,YAAY,IAAI,CAAC,eAAe,WAAW,CAAC,CAAC;AAC7D,UAAQ,KAAK,YAAY,YAAY,SAAS,CAAC,EAAE,CAAC,CAAC;AACnD,SAAO;AACT;AAEO,IAAM,YAAuB;AAAA,EACl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eAA0B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE/N,IAAM,mBAA8B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEnI,IAAM,gBAA2B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEhF,IAAM,gBAA2B,CAAC,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE1N,IAAM,oBAA+B,CAAC,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,IAAI,GAAG,CAAC;AAEvH,IAAM,iBAA4B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEjF,IAAM,mBAA8B;AAAA,EACzC,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACpE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACjE,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAChE;AAEO,IAAM,mBAAmB;AAAA,EAC9B,MAAM,qBAAqB,SAAS;AAAA,EACpC,SAAS,qBAAqB,YAAY;AAAA,EAC1C,aAAa,qBAAqB,gBAAgB;AAAA,EAClD,UAAU,qBAAqB,aAAa;AAAA,EAC5C,UAAU,qBAAqB,aAAa;AAAA,EAC5C,cAAc,qBAAqB,iBAAiB;AAAA,EACpD,WAAW,qBAAqB,cAAc;AAAA,EAC9C,UAAU,qBAAqB,gBAAgB;AACjD;;;AC/sBA,IAAM,mBAA8B;AAAA,EACl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uBAAkC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEvO,IAAM,2BAAsC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE3I,IAAM,wBAAmC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAExF,IAAM,wBAAmC,CAAC,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAElO,IAAM,4BAAuC,CAAC,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,IAAI,GAAG,CAAC;AAE/H,IAAM,yBAAoC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEzF,IAAM,wBAAmC;AAAA,EACvC,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACpN,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAC5M;AAmJA,SAASC,sBAAqB,aAAwB;AACpD,QAAM,UAAU,YAAY,IAAI,CAAC,eAAe,WAAW,CAAC,CAAC;AAC7D,UAAQ,KAAK,YAAY,YAAY,SAAS,CAAC,EAAE,CAAC,CAAC;AACnD,SAAO;AACT;AAEO,IAAM,2CAA2C;AAAA,EACtD,MAAMA,sBAAqB,gBAAgB;AAAA,EAC3C,SAASA,sBAAqB,oBAAoB;AAAA,EAClD,aAAaA,sBAAqB,wBAAwB;AAAA,EAC1D,UAAUA,sBAAqB,qBAAqB;AAAA,EACpD,UAAUA,sBAAqB,qBAAqB;AAAA,EACpD,cAAcA,sBAAqB,yBAAyB;AAAA,EAC5D,WAAWA,sBAAqB,sBAAsB;AAAA,EACtD,UAAUA,sBAAqB,qBAAqB;AACtD;AAEA,IAAM,kBAAsC,OAAO,QAAQ,wCAAwC,EAChG,IAAI,CAAC,CAAC,OAAO,OAAO,MAAM,QAAQ,IAAI,CAACC,WAAU,CAACA,QAAO,KAAK,CAAqB,CAAC,EACpF,KAAK;AAED,IAAM,gCAAgC,IAAI,IAAI,eAAe;AAQ7D,IAAM,mCAAmC;AAAA,EAC9C;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACnC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACpC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACpC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AACtC;AAEO,IAAM,uCAAuC;AAAA,EAClD;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACrC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA;AAAA,EACnC;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EACzB;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACvC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EACrB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA;AACjC;AAEO,IAAM,wCAAwC;AAAA,EACnD;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACzB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AACrC;;;AClOA,IAAI;AAEJ,SAAS,WAAW,GAAe,KAAmE;AAVtG,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC;AAWE,MAAI,CAAC,aAAa,gBAAeP,MAAA,aAAa,eAAb,gBAAAA,IAAyB,YAAW;AAAI;AACzE,MAAI,IAAI,aAAa,WAAW,MAAM;AACtC,MAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,MAAI,EAAE;AAAO,QAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACpD,MAAI,EAAE;AAAQ,QAAI,QAAQ,GAAG,YAAY,EAAE,MAAM;AACjD,MAAI,EAAE;AAAa,QAAI,QAAQ,GAAG,iBAAiB,MAAM,EAAE,WAAW;AACtE,MAAI,EAAE;AAAK,QAAI,QAAQ,GAAG,SAAS,EAAE,GAAG;AACxC,MAAI,EAAE;AAAU,QAAI,QAAQ,GAAG,cAAc,MAAM,EAAE,QAAQ;AAC7D,MAAI,EAAE;AAAM,QAAI,QAAQ,GAAG,UAAU,MAAM,EAAE,IAAI;AACjD,MAAI,EAAE;AAAM,QAAI,QAAQ,GAAG,UAAU,MAAM,EAAE,IAAI;AACjD,MAAI,EAAE,WAAW,EAAE,QAAQ,SAAS,GAAG;AACrC,UAAMQ,WAAU,EAAE,QAAQ,IAAI,CAAC,MAAM,GAAG,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,EAAE,SAAS;AACjF,QAAIA,SAAQ,SAAS;AAAG,MAAAA,SAAQ,SAAS;AACzC,QAAI,QAAQ,GAAG,cAAcA,SAAQ,KAAK,GAAG,CAAC;AAAA,EAChD;AACA,OAAIN,OAAAD,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAZ,gBAAAC,IAAmB;AAAM,QAAI,QAAQ,GAAG,UAAU,QAAQ,EAAE,SAAS,MAAM,IAAI,CAAC;AACpF,OAAI,MAAAC,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAZ,mBAAmB;AAAK,QAAI,QAAQ,GAAG,SAAS,QAAQ,EAAE,SAAS,MAAM,GAAG,CAAC;AACjF,OAAIE,OAAAD,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAZ,gBAAAC,IAAmB;AAAO,QAAI,QAAQ,GAAG,WAAW,QAAQ,EAAE,SAAS,MAAM,KAAK,CAAC;AACvF,OAAIE,OAAAD,MAAA,EAAE,aAAF,gBAAAA,IAAY,SAAZ,gBAAAC,IAAkB;AAAS,QAAI,QAAQ,GAAG,UAAU,QAAQ,EAAE,SAAS,KAAK,OAAO,CAAC;AACxF,SAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,YAAY;AACjD;AAEA,SAAS,eAAe,GAAe,KAAmE;AAjC1G,MAAAP,KAAAC,KAAAC,KAAAC;AAmCE,QAAIH,MAAA,EAAE,gBAAF,gBAAAA,IAAe,kBAAeC,MAAA,EAAE,gBAAF,gBAAAA,IAAe,YAAY,KAAI;AAC/D,QAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,QAAI,UAAU;AACd,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI;AAC5F,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI;AAC5F,QAAI,QAAQ,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK,EAAE;AAC7G,QAAI,OAAO;AACX,QAAI,aAAa,cAAc;AAC7B,UAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,UAAI,KAAK;AAAA,IACX;AAAA,EACF;AACA,QAAIC,MAAA,EAAE,gBAAF,gBAAAA,IAAe,mBAAgBC,MAAA,EAAE,gBAAF,gBAAAA,IAAe,aAAa,KAAI;AACjE,QAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,QAAI,UAAU;AACd,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI;AAC9F,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI;AAC9F,QAAI,QAAQ,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK,EAAE;AAC/G,QAAI,OAAO;AACX,QAAI,aAAa,cAAc;AAC7B,UAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,UAAI,KAAK;AAAA,IACX;AAAA,EACF;AACF;AAEA,SAAS,gBAAgB,GAAe,KAAmE;AA7D3G,MAAAH;AA8DE,MAAI,aAAa,cAAYA,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAS,OAAO,WAAW,aAAa;AAC/E,QAAI,cAAc;AAClB,UAAM,OAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,IAAM,EAAE,IAAI,CAAC,IAAI,QAAQ,EAAE,SAAS,MAAM,GAAG,IAAI;AACrF,UAAM,OAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,IAAM,EAAE,IAAI,CAAC,IAAI,QAAQ,EAAE,SAAS,MAAM,KAAK,IAAI;AACvF,UAAM,QAAQ,IAAI,OAAO;AAAA,UACnB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,KAAK,EAAE,IAAI,CAAC;AAAA;AAAA,UAElC,QAAQ,EAAE,IAAI,CAAC;AAAA,UACf,QAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC;AAAA,UAC1B,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC;AAAA,KAClD;AACD,UAAM,QAAQ,IAAI,OAAO;AAAA,UACnB,EAAE,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI;AAAA;AAAA,UAElC,EAAE,IAAI,CAAC,KAAK;AAAA,UACZ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK;AAAA,UACvB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI;AAAA,KAClD;AACD,QAAI,OAAO,KAAK;AAChB,QAAI,OAAO,KAAK;AAAA,EAClB;AACF;AAEA,SAAS,eAAe,GAAe,KAAmE;AArF1G,MAAAA;AAsFE,MAAI,aAAa,cAAYA,MAAA,EAAE,aAAF,gBAAAA,IAAY,KAAK,aAAY,EAAE,SAAS,KAAK,WAAW,EAAE,YAAY,eAAe,EAAE,YAAY,gBAAgB,EAAE,YAAY,YAAY,CAAC,KAAK,EAAE,YAAY,aAAa,CAAC,GAAG;AAC7M,QAAI,cAAc;AAClB,QAAI,YAAY;AAChB,UAAM,WAAW;AAAA,MACf,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,MACzG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,IAC3G;AACA,UAAM,KAAK,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,SAAS,CAAC,GAAG,SAAS,CAAC,CAAC,GAAG,CAAC;AAC5G,UAAM,YAAY;AAAA,MAChB,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,MAC1G,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,IAC5G;AACA,UAAM,KAAK,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,UAAU,CAAC,GAAG,UAAU,CAAC,CAAC,GAAG,CAAC;AAAA,EAClH;AACF;AAEA,SAAS,iBAAiB,GAAe,KAAmE;AAC1G,MAAI,aAAa,gBAAgB,EAAE,KAAK,UAAU,KAAK;AACrD,QAAI,YAAY;AAChB,aAAS,IAAI,GAAG,IAAI,OAAc,SAAS,GAAG,KAAK;AACjD,YAAM,SAAS,CAAC,OAAc,IAAI,IAAI,CAAC,GAAG,OAAc,IAAI,IAAI,CAAC,GAAG,OAAc,IAAI,IAAI,CAAC,CAAC,EAAE,IAAI,CAACS,WAAU,EAAE,KAAKA,MAAK,CAAC;AAC1H,YAAM,KAAK,QAAQ,YAAY;AAAA,IACjC;AACA,mBAAe,GAAG,GAAG;AAAA,EACvB;AAQF;AAEA,SAAS,eAAe,GAAe,KAAmE;AACxG,MAAI,aAAa,YAAY;AAC3B,SAAI,uBAAG,KAAK,WAAU,KAAK;AACzB,eAAS,IAAI,GAAG,IAAI,EAAE,KAAK,QAAQ,KAAK;AACtC,cAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,YAAY;AACjE,YAAI,aAAa,eAAe;AAC9B,cAAsB,iCAAiC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AACvJ,cAAsB,qCAAqC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AAC3J,cAAsB,sCAAsC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AAAA,QAC9J;AAAA,MACF;AAAA,IACF,OAAO;AACL,iBAAW,CAAC,GAAGC,GAAC,KAAK,OAAO,SAAQ,uBAAG,gBAAe,CAAC,CAAC,GAAG;AACzD,YAAI,EAACA,OAAA,gBAAAA,IAAI;AAAI;AACb,cAAM,KAAKA,IAAE,CAAC;AACd,cAAM,KAAK,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,GAAG,YAAY;AACxC,YAAI,aAAa;AAAY,iBAAO,KAAK,GAAG,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,YAAY;AAAA,MACxE;AAAA,IACF;AAAA,EACF;AACF;AAEA,SAAS,cAAc,GAAe,KAAK;AACzC,MAAI,aAAa,WAAW;AAC1B,SAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,YAAY;AAAA,EAChE;AACF;AAGO,SAAS,KAAKC,WAAqB,QAAsB,aAAoC;AAClG,iBAAe,UAAUC,UAAS,WAAW;AAC7C,MAAI,CAAC,UAAU,CAACD;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,OAAO,aAAa;AACxB,MAAI,cAAc,aAAa;AAC/B,MAAI,YAAY,aAAa;AAC7B,aAAW,KAAK,QAAQ;AACtB,kBAAc,GAAG,GAAG;AACpB,eAAW,GAAG,GAAG;AACjB,QAAI,EAAE,QAAQ,EAAE,KAAK,SAAS,GAAG;AAC/B,qBAAe,GAAG,GAAG;AACrB,uBAAiB,GAAG,GAAG;AACvB,sBAAgB,GAAG,GAAG;AACtB,qBAAe,GAAG,GAAG;AAAA,IACvB;AAAA,EACF;AACF;;;AChKO,SAAS,KAAKE,WAAqB,QAAsB,aAAoC;AAPpG,MAAAC,KAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACJ;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,cAAcG,cAAa;AAC/B,QAAI,YAAYA,cAAa;AAC7B,QAAI,YAAYA,cAAa;AAC7B,QAAI,OAAOA,cAAa;AACxB,QAAIA,cAAa,aAAa,OAAO,CAAC,EAAE,OAAO,OAAO,CAAC,EAAE,IAAI,WAAW,GAAG;AACzE,WAAK,KAAK,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9F,UAAIA,cAAa,gBAAeF,MAAAE,cAAa,eAAb,gBAAAF,IAAyB,UAAS,GAAI;AACpE,YAAI,IAAIE,cAAa,WAAW,MAAM;AACtC,YAAI,QAAQ,GAAG,QAAQ,OAAO,CAAC,EAAE,GAAG,QAAQ,CAAC,CAAC;AAC9C,YAAI,QAAQ,GAAG,WAAW,MAAM,OAAO,CAAC,EAAE,KAAK;AAC/C,eAAO,KAAK,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjE;AAAA,IACF;AACA,QAAIA,cAAa,cAAc,OAAO,CAAC,EAAE,WAAW;AAClD,eAAS,KAAK,GAAG,KAAK,OAAO,CAAC,EAAE,UAAU,QAAQ,MAAM;AACtD,YAAI,CAAC,OAAO,CAAC,EAAE,UAAU,EAAE,EAAE,SAAU,OAAO,CAAC,EAAE,UAAU,EAAE,EAAE,UAAU;AAAI;AAC7E,YAAI,YAAY,WAAW,OAAO,CAAC,EAAE,UAAU,EAAE,EAAE,SAAS,CAAC,GAAGA,aAAY;AAC5E,cAAM,KAAK,OAAO,CAAC,EAAE,UAAU,EAAE,EAAE,SAAS,CAAC,GAAG,OAAO,CAAC,EAAE,UAAU,EAAE,EAAE,SAAS,CAAC,GAAG,GAAGA,aAAY;AAAA,MACtG;AAAA,IACF;AACA,QAAIA,cAAa,gBAAeD,MAAAC,cAAa,mBAAb,gBAAAD,IAA6B,UAAS,KAAM,OAAO,CAAC,EAAE,WAAW;AAC/F,UAAI,OAAOC,cAAa;AACxB,iBAAW,MAAM,OAAO,CAAC,EAAE,WAAW;AACpC,YAAI,CAAC,GAAG,SAAU,GAAG,UAAU;AAAI;AACnC,YAAI,IAAIA,cAAa,eAAe,MAAM;AAC1C,YAAI,QAAQ,GAAG,WAAW,GAAG,IAAI;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAM,GAAG,KAAK;AACxC,eAAO,KAAK,GAAG,GAAG,SAAS,CAAC,GAAG,GAAG,SAAS,CAAC,GAAGA,aAAY;AAAA,MAC7D;AAAA,IACF;AACA,QAAIA,cAAa,gBAAgB,OAAO,CAAC,EAAE,aAAa,OAAO,CAAC,EAAE,aAAa;AAC7E,iBAAW,QAAQ,OAAO,OAAO,OAAO,CAAC,EAAE,WAAW,GAAG;AACvD,mBAAWE,cAAa;AAAM,iBAAO,KAAKA,YAAWF,aAAY;AAAA,MACnE;AAAA,IACF;AAAA,EACF;AACF;;;AC3CO,SAAS,KAAKG,WAAqB,QAAsB,aAAoC;AAPpG,MAAAC,KAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACJ;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOG,cAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9D,UAAIA,cAAa,gBAAeF,MAAAE,cAAa,eAAb,gBAAAF,IAAyB,UAAS,GAAI;AACpE,YAAI,IAAIE,cAAa,WAAW,MAAM;AACtC,YAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,YAAI,QAAQ,GAAG,WAAW,EAAE,KAAK;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACvC,eAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjD;AACA,UAAI,OAAO;AAAA,IACb;AACA,QAAIA,cAAa,YAAY;AAC3B,UAAI,EAAE,aAAa,EAAE,UAAU,SAAS,GAAG;AACzC,mBAAW,MAAM,EAAE,WAAW;AAC5B,cAAI,YAAY,WAAW,GAAG,CAAC,GAAGA,aAAY;AAC9C,gBAAM,KAAK,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,GAAGA,aAAY;AAAA,QAC1C;AAAA,MACF;AAAA,IACF;AACA,QAAIA,cAAa,cAAc,EAAE,iBAAgBD,MAAAC,cAAa,iBAAb,gBAAAD,IAA2B,UAAS,GAAI;AACvF,iBAAW,CAAC,MAAM,EAAE,KAAK,OAAO,QAAQ,EAAE,WAAW,GAAG;AACtD,YAAI,IAAIC,cAAa,aAAa,MAAM;AACxC,YAAI,QAAQ,GAAG,WAAW,IAAI;AAC9B,eAAO,KAAK,GAAG,GAAG,GAAG,SAAS,CAAC,EAAE,CAAC,GAAG,GAAG,GAAG,SAAS,CAAC,EAAE,CAAC,GAAGA,aAAY;AAAA,MACzE;AAAA,IACF;AACA,QAAIA,cAAa,gBAAgB,EAAE,aAAa;AAC9C,YAAM,cAAc,CAAC,SAAkB;AACrC,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK,CAAC;AAAG;AAC5C,iBAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,cAAI,UAAU;AACd,gBAAM,IAAI,KAAK,CAAC,EAAE,CAAC,KAAK;AACxB,cAAI,cAAc,WAAW,IAAI,GAAGA,aAAY;AAChD,cAAI,OAAO,KAAK,IAAI,IAAI,IAAI,IAAI,CAAC,EAAE,CAAC,GAAG,KAAK,IAAI,IAAI,IAAI,IAAI,CAAC,EAAE,CAAC,CAAC;AACjE,cAAI,OAAO,KAAK,CAAC,EAAE,CAAC,GAAG,KAAK,CAAC,EAAE,CAAC,CAAC;AACjC,cAAI,OAAO;AAAA,QACb;AAAA,MACF;AACA,UAAI,YAAYA,cAAa;AAC7B,kBAAY,EAAE,YAAY,KAAK;AAC/B,kBAAY,EAAE,YAAY,MAAM;AAChC,kBAAY,EAAE,YAAY,IAAI;AAC9B,kBAAY,EAAE,YAAY,KAAK;AAC/B,kBAAY,EAAE,YAAY,KAAK;AAAA,IAEjC;AAAA,EACF;AACF;;;ACzDO,SAAS,OAAOE,WAAqB,QAAwB,aAAoC;AAPxG,MAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOE,cAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9D,UAAIA,cAAa,gBAAeD,MAAAC,cAAa,iBAAb,gBAAAD,IAA2B,UAAS,GAAI;AACtE,YAAI,IAAIC,cAAa,aAAa,MAAM;AACxC,YAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,YAAI,QAAQ,GAAG,WAAW,EAAE,KAAK;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACvC,eAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjD;AACA,UAAI,OAAO;AAAA,IACb;AAAA,EACF;AACF;;;ACtBO,SAAS,QAAQE,WAAqB,QAAyB,aAAoC;AAP1G,MAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,MAAIE,cAAa,kBAAiBD,MAAAC,cAAa,kBAAb,gBAAAD,IAA4B,UAAS,GAAI;AACzE,UAAM,MAAM,iBAAiBD,SAAQ;AACrC,QAAI,CAAC;AAAK;AACV,QAAI,OAAOE,cAAa;AACxB,QAAI,YAAYA,cAAa;AAC7B,QAAI,IAAI;AACR,aAASE,MAAI,GAAGA,MAAI,OAAO,QAAQA,OAAK;AACtC,YAAM,CAAC,OAAO,IAAI,IAAI,OAAO,QAAQ,OAAOA,GAAC,CAAC;AAC9C,UAAK,KAAK,SAAS,KAAQ,KAAK,CAAC,EAAa,SAAS,GAAI;AACzD,cAAM,MAAM,MAAM,CAAC,IAAc,IAAI,IAAI,MAAM,CAAC,MAAM;AACtD,YAAI,IAAIF,cAAa,cAAc,MAAM;AACzC,YAAI,QAAQ,GAAG,WAAW,MAAM,CAAC,CAAC;AAClC,YAAI,QAAQ,GAAG,SAAS,GAAG;AAC3B,YAAI,QAAQ,GAAG,UAAU,KAAK,CAAC,CAAC;AAChC,eAAO,KAAK,GAAG,GAAG,IAAK,IAAIA,cAAa,YAAaA,aAAY;AACjE,aAAK;AAAA,MACP;AAAA,IACF;AAAA,EACF;AACF;;;AC7BO,IAAM,gBAAgB;AAAA,EAC3B,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUN,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAQ;AAAA,EACR,MAAM;AAAA,EACN,QAAQ;AAAA,EACR,SAAS;AACX;;;AVAA,IAAI,WAAW;AAUR,SAAS,OAAOG,WAAqB,QAAwB,aAAoC;AACtG,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACF;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOC,cAAa;AAExB,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9F,UAAIA,cAAa,YAAY;AAC3B,cAAM,QAAQ,WAAW;AACzB,YAAIA,cAAa,eAAeA,cAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAYA,cAAa;AAC7B,cAAI,SAAS,OAAO,OAAO,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,IAAI,CAAC,IAAIA,cAAa,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,QAC5G;AACA,YAAI,YAAYA,cAAa;AAC7B,YAAI,SAAS,OAAO,OAAO,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,IAAI,CAAC,IAAIA,cAAa,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,MAC5G;AACA,UAAI,OAAO;AAAA,IACb;AAAA,EACF;AACF;AAGO,SAASE,QAAO,OAAwD,QAAmB;AAChG,MAAI,CAAC,SAAS,CAAC;AAAQ;AACvB,QAAM,MAAM,iBAAiB,MAAM;AACnC,MAAI,CAAC;AAAK;AACV,MAAI,UAAU,OAAO,GAAG,CAAC;AAC3B;AAGA,eAAsB,IAAIH,WAAqB,QAAgB,aAAoC;AACjG,MAAI,EAAC,iCAAQ,gBAAe,CAACA;AAAU,WAAO;AAC9C,QAAM,YAAY,IAAI;AACtB,QAAMC,gBAAe,UAAUC,UAAS,WAAW;AACnD,QAAM,UAAU,QAAQ,IAAI;AAAA,IAC1B,KAAKF,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,KAAKD,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,KAAKD,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,OAAOD,WAAU,OAAO,QAAQC,aAAY;AAAA,IAC5C,QAAQD,WAAU,OAAO,SAASC,aAAY;AAAA;AAAA;AAAA,EAEhD,CAAC;AACD,aAAW,IAAI,UAAU,WAAW,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAChG,SAAO,YAAY,OAAO;AAC1B,SAAO;AACT;AAGO,SAASG,QAAO;AACrB,EAAAF,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,iBAAiB,cAAc;AACvC,EAAAA,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,eAAe,cAAc;AACrC,EAAAA,SAAQ,eAAe,cAAc;AACrC,EAAAA,SAAQ,gBAAgB,cAAc;AACxC;;;AWzFA;AAAA;AAAA;AAAA;AAAA;AAEO,IAAM,MAAgB;AAAA,EAC3B;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AACF;AAEO,IAAM,YAAsC;AAAA,EACjD,WAAW,CAAC,gBAAgB,eAAe;AAAA,EAC3C,MAAM,CAAC,YAAY,SAAS;AAAA,EAC5B,OAAO,CAAC,aAAa,YAAY;AAAA,EACjC,cAAc,CAAC,WAAW,UAAU;AAAA,EACpC,cAAc,CAAC,YAAY,WAAW;AAAA,EACtC,UAAU,CAAC,aAAa,YAAY,UAAU;AAAA,EAC9C,WAAW,CAAC,gBAAgB,SAAS;AAAA,EACrC,cAAc,CAAC,gBAAgB,WAAW;AAAA,EAC1C,cAAc,CAAC,aAAa,WAAW;AAAA,EACvC,UAAU,CAAC,aAAa,UAAU;AAAA,EAClC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,gBAAgB,CAAC,iBAAiB,gBAAgB;AAAA,EAClD,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,aAAa,YAAY;AAAA,EACzC,WAAW,CAAC,cAAc,aAAa,WAAW;AAAA,EAClD,YAAY,CAAC,iBAAiB,UAAU;AAAA,EACxC,eAAe,CAAC,iBAAiB,YAAY;AAAA,EAC7C,eAAe,CAAC,cAAc,YAAY;AAAA,EAC1C,WAAW,CAAC,cAAc,WAAW;AAAA,EACrC,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,iBAAiB,CAAC,kBAAkB,iBAAiB;AACvD;;;AC5DA,IAAI;AACJ,IAAI,YAAY;AAChB,IAAI;AACJ,IAAM,YAAY;AAClB,IAAM,UAAU,CAAC,GAAG,IAAI,IAAI,IAAI,EAAE;AAE3B,SAAS,gBAAgB;AAC9B,QAAMG,WAAsC,CAAC;AAC7C,MAAI,UAAU;AACd,SAAO,UAAU,WAAW;AAC1B,QAAI,cAAc;AAClB,QAAI,sBAAsB;AAC1B,WAAO,sBAAsB,QAAQ,UAAU,QAAQ,mBAAmB,MAAM,QAAQ,OAAO,GAAG;AAChG,qBAAe;AACf;AAAA,IACF;AACA,UAAM,SAAS,QAAQ,OAAO;AAC9B,UAAM,mBAAmB,KAAK,KAAK,YAAY,MAAM;AACrD,UAAM,kBAAkB,KAAK,KAAK,YAAY,MAAM;AACpD,aAASC,KAAI,GAAGA,KAAI,kBAAkB,EAAEA,IAAG;AACzC,eAAS,IAAI,GAAG,IAAI,iBAAiB,EAAE,GAAG;AACxC,iBAAS,WAAW,GAAG,WAAW,aAAa,EAAE,UAAU;AACzD,UAAAD,SAAQ,KAAK,EAAE,IAAI,IAAI,OAAO,iBAAiB,IAAIC,KAAI,OAAO,iBAAiB,CAAC;AAAA,QAClF;AAAA,MACF;AAAA,IACF;AACA,cAAU;AAAA,EACZ;AACA,iBAAe,EAAE,GAAM,GAASD,SAAQ,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,GAAG,GAAM,GAASA,SAAQ,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE;AACpG;AAEA,eAAsB,aAAaE,SAAqC;AACtE,MAAI,IAAI;AAAS,YAAQ;AACzB,MAAI,CAAC,SAASA,QAAO,KAAK,UAAU,KAAKA,QAAO,KAAK,UAAU,EAAE,aAAa,IAAI;AAChF,YAAQ,MAAM,UAAUA,QAAO,KAAK,UAAU,EAAE,SAAS;AACzD,UAAM,UAAS,+BAAQ,eAAc,OAAO,OAAO,MAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,gBAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWA,QAAO,SAAS;AAAO,QAAI,iBAAiB,MAAM,UAAU,CAAC;AACxE,gBAAc;AACd,SAAO;AACT;AAEA,IAAM,aAAa,CAAC,GAAK,CAAG;AACrB,SAAS,YAAY,aAAa,QAAQ;AAC/C,SAAU,GAAK,MAAM;AACnB,UAAM,QAAW,GAAM,aAAa,IAAI,CAAC;AACzC,QAAI,UAAa,GAAQ,MAAM,CAAC,CAAC;AACjC,QAAI,UAAa,GAAQ,MAAM,CAAC,CAAC;AACjC,QAAI,QAAW,GAAQ,MAAM,CAAC,CAAC;AAC/B,QAAI,SAAY,GAAQ,MAAM,CAAC,CAAC;AAChC,cAAa,GAAO,GAAI,SAAS,SAAS,GAAG,OAAO,CAAC;AACrD,cAAa,GAAO,GAAI,SAAS,SAAS,GAAG,OAAO,CAAC;AACrD,YAAW,GAAO,GAAI,OAAO,SAAS,GAAG,WAAW,CAAC,CAAC;AACtD,aAAY,GAAO,GAAI,QAAQ,SAAS,GAAG,WAAW,CAAC,CAAC;AACxD,UAAM,OAAU,GAAI,SAAY,GAAI,OAAO,CAAC,CAAC;AAC7C,UAAM,OAAU,GAAI,SAAY,GAAI,QAAQ,CAAC,CAAC;AAC9C,UAAM,OAAU,GAAI,MAAM,KAAK;AAC/B,UAAM,OAAU,GAAI,MAAM,MAAM;AAChC,UAAM,QAAW,GAAM,CAAC,MAAM,MAAM,MAAM,IAAI,GAAG,CAAC;AAClD,WAAO;AAAA,EACT,CAAC;AACH;AAEA,eAAe,cAAc,aAAqB,cAAsBA,SAAgBC,aAAsD;AA1E9I,MAAAC,KAAAC;AA2EE,QAAM,gBAA+B,CAAC;AACtC,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,QAAQ,YAAY,aAAa,YAAY;AAC/C,EAAAA,IAAE,SAAY,GAAQ,YAAY;AAClC,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,QAAoB,KAAGF,MAAAF,QAAO,KAAK,UAAU,MAAtB,gBAAAE,IAAyB,kBAAiB,OAAKC,MAAAH,QAAO,KAAK,UAAU,MAAtB,gBAAAG,IAAyB,iBAAgB,GAAG;AACvL,QAAM,MAAM,MAAMC,IAAE,IAAI,KAAK;AAC7B,QAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,QAAM,QAAQ,MAAMA,IAAE,MAAM,MAAM;AAClC,aAAW,KAAK,MAAM,KAAK,GAAG,GAAG;AAC/B,UAAM,QAAQ,OAAO,CAAC;AACtB,UAAM,SAAc,MAAM,CAAC;AAC3B,UAAM,MAAW,CAAC,KAAK,MAAM,OAAO,CAAC,IAAIH,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,CAAC;AAC5K,UAAM,cAA2B,EAAE,OAAO,QAAQ,IAAI;AACtD,kBAAc,KAAK,WAAW;AAAA,EAChC;AACA,SAAO,KAAKG,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsB,YAAY,OAAeJ,SAAgBC,aAA8B;AAC7F,QAAMG,MAA4B,CAAC;AACnC,EAAAA,IAAE,MAAM,+BAAO,QAAQ,OAAO,CAAC,UAAU;AACzC,EAAAA,IAAE,YAAe,GAAMA,IAAE,KAAK,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,IAAI,CAAC,CAAC;AACnD,EAAAA,IAAE,WAAc,GAAMA,IAAE,KAAK,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,IAAI,EAAE,CAAC;AACnD,EAAAA,IAAE,SAAY,GAAQA,IAAE,SAAS;AACjC,EAAAA,IAAE,QAAW,GAAQA,IAAE,QAAQ;AAC/B,QAAM,QAAQ,MAAM,cAAcA,IAAE,OAAOA,IAAE,QAAQJ,SAAQC,WAAU;AACvE,SAAO,KAAKG,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACtGO,SAAS,KAAK,WAAoBC,cAA+B,CAAC,GAAG,CAAC,GAAG;AAC9E,QAAM,SAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,UAAU,IAAI,CAAC,OAAO,GAAG,CAAC,CAAC,CAAC;AAC1E,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAW,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAClE,QAAM,SAAc,CAAC,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,CAAC;AACnH,SAAO,EAAE,KAAK,OAAO;AACvB;AAEO,SAAS,OAAO,WAAoBA,cAA+B,CAAC,GAAG,CAAC,GAAG;AAChF,QAAM,SAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,UAAU,IAAI,CAAC,OAAO,GAAG,CAAC,CAAC,CAAC;AAC1E,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,SAAS,EAAE,IAAI,CAAC,IAAI,IAAI,CAAC,KAAK,IAAI,IAAI,CAAC,IAAI,IAAI,CAAC,KAAK,CAAC;AAC5D,QAAM,OAAO,KAAK,IAAI,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,CAAC,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,CAAC,OAAO,CAAC,IAAI,IAAI,CAAC,CAAC;AACtG,QAAM,MAAW,CAAC,KAAK,MAAM,OAAO,CAAC,IAAI,IAAI,GAAG,KAAK,MAAM,OAAO,CAAC,IAAI,IAAI,GAAG,KAAK,MAAM,IAAI,IAAI,GAAG,KAAK,MAAM,IAAI,IAAI,CAAC;AACxH,QAAM,SAAc,CAAC,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,CAAC;AACnH,SAAO,EAAE,KAAK,OAAO;AACvB;AAEO,SAAS,MAAM,KAAU,WAAmB;AACjD,QAAM,OAAO,CAAC,IAAI,CAAC,IAAI,WAAW,IAAI,CAAC,IAAI,SAAS;AACpD,QAAM,SAAc;AAAA,IAClB,IAAI,CAAC,KAAK,KAAK,CAAC,IAAI,IAAI,CAAC,KAAK;AAAA,IAC9B,IAAI,CAAC,KAAK,KAAK,CAAC,IAAI,IAAI,CAAC,KAAK;AAAA,IAC9B,KAAK,CAAC;AAAA,IACN,KAAK,CAAC;AAAA,EACR;AACA,SAAO;AACT;;;ACdA,IAAIC;AACJ,IAAIC,aAAY;AAChB,IAAI,UAAU,OAAO;AACrB,IAAM,cAA2D;AAAA,EAC/D,WAAW,CAAC,SAAS,2BAA2B,sBAAsB,YAAY,iBAAiB;AAAA,EACnG,UAAU,CAAC;AACb;AAEA,IAAM,QAAsB,CAAC;AAC7B,IAAI,UAA8B,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AACjE,IAAI,WAAW;AAEf,IAAM,UAAU,CAAC,MAAO,IAAK,KAAK,IAAI,KAAK,IAAI,CAAC;AAEzC,IAAM,aAAa,CAACC,YAAwC,aAAaA,OAAM;AAEtF,eAAsB,SAASA,SAAqC;AAClE,MAAI,IAAI;AAAS,IAAAF,SAAQ;AACzB,MAAI,CAACA,QAAO;AACV,IAAAA,SAAQ,MAAM,UAAUE,QAAO,KAAK,SAAS;AAC7C,UAAM,UAASF,UAAA,gBAAAA,OAAQ,eAAc,OAAO,OAAOA,OAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAC,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWC,QAAO;AAAO,QAAI,iBAAiBF,OAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,SAAS,aAAa,OAAiBG,OAAc,SAAuB;AA5C5E,MAAAC,KAAAC;AA6CE,QAAMC,MAA4B,CAAC;AACnC,MAAI,GAACF,MAAA,+BAAO,UAAP,gBAAAA,IAAe,OAAM,GAACC,MAAA,+BAAO,UAAP,gBAAAA,IAAe;AAAI,WAAO;AACrD,MAAI;AACJ,MAAI,SAAS;AACX,IAAAC,IAAE,UAAa,GAAM,cAAc,OAAO,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC;AAAA,EAC5F;AACA,MAAI,MAAM,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,GAAG;AACrC,UAAM,SAA2B;AAAA,MAC/B,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,MACtF,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,IACxF;AACA,UAAM,QAA0B;AAAA,MAC9B,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,MACtF,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,IACxF;AACA,cAAU;AAAA,MACR,CAAC,GAAG,CAAC;AAAA;AAAA,MACL;AAAA;AAAA,MACA;AAAA;AAAA,MACA,CAAC,GAAG,CAAC;AAAA;AAAA,IACP;AACA,IAAAA,IAAE,MAAS,GAAIA,IAAE,WAAW,OAAO,OAAO;AAC1C,IAAAA,IAAE,SAAY,GAAM,eAAeA,IAAE,KAAiB,CAACH,OAAMA,KAAI,CAAC;AAClE,YAAW,GAAIG,IAAE,QAAQ,UAAU,KAAK;AAAA,EAC1C,WAAW,MAAM,MAAM,CAAC,MAAMH,OAAM;AAClC,IAAAG,IAAE,SAAY,GAAM,eAAeA,IAAE,WAAuB,OAAO,CAACH,OAAMA,KAAI,CAAC;AAC/E,YAAW,GAAIG,IAAE,QAAQ,UAAU,KAAK;AAAA,EAC1C,OAAO;AACL,YAAW,GAAIA,IAAE,WAAW,OAAO,UAAU,KAAK;AAAA,EACpD;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,SAAS,iBAAiB,WAA2BC,aAA8B,SAA+B;AAChH,aAAWC,QAAO,WAAW;AAC3B,IAAAA,KAAI,WAAW;AAAA,MACb,KAAK,MAAMA,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,KAAKA,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,CAAC;AAAA,MAC5G,KAAK,MAAMC,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,KAAKA,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,CAAC;AAAA,MAC5GC,KAAI,SAAS,CAAC;AAAA,IAChB;AACA,IAAAA,KAAI,cAAc,CAACA,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC,GAAGC,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC,GAAG,IAAKC,KAAI,SAAS,CAAC,KAAgBD,YAAW,CAAC,IAAIA,YAAW,CAAC,EAAE;AAAA,EACxJ;AACA,MAAI,SAAS;AACX,UAAM,QAAQ,QAAQ,CAAC,IAAI,QAAQ,CAAC;AACpC,UAAM,SAAS,QAAQ,CAAC,IAAI,QAAQ,CAAC;AACrC,eAAWC,QAAO,WAAW;AAC3B,MAAAA,KAAI,cAAc;AAAA,QAChBA,KAAI,YAAY,CAAC,IAAI,SAAS,QAAQ,CAAC;AAAA;AAAA,QACvCA,KAAI,YAAY,CAAC,IAAI,QAAQ,QAAQ,CAAC;AAAA;AAAA,QACtCA,KAAI,YAAY,CAAC;AAAA,MACnB;AACA,MAAAA,KAAI,WAAW;AAAA,QACb,KAAK,MAAMA,KAAI,YAAY,CAAC,IAAID,YAAW,CAAC,CAAC;AAAA,QAC7C,KAAK,MAAMC,KAAI,YAAY,CAAC,IAAID,YAAW,CAAC,CAAC;AAAA,QAC7CC,KAAI,YAAY,CAAC;AAAA,MACnB;AAAA,IACF;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,aAAa,WAA2B;AAE/C,QAAM,WAAW,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,UAAU;AAC5D,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,WAAS,SAAS,CAAC,MAAM,UAAU,SAAS,CAAC,KAAK,MAAM,UAAU,SAAS,CAAC,KAAK,MAAM;AACvF,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,QAAM,aAAa,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,YAAY;AAChE,QAAM,aAAa,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,YAAY;AAChE,YAAU,SAAS,CAAC,MAAM,WAAW,SAAS,CAAC,KAAK,MAAM,WAAW,SAAS,CAAC,KAAK,MAAM;AAC5F;AAEA,eAAe,gBAAgB,OAAeN,SAAgBK,aAA0D;AAQtH,MAAI,EAACP,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAMM,MAA4B,CAAC;AACnC;AAAA,IAACA,IAAE;AAAA,IAAqBA,IAAE;AAAA,IAA+BA,IAAE;AAAA,IAAyBA,IAAE;AAAA,IAAwBA,IAAE;AAAA;AAAA,EAAiB,IAAIN,UAAA,gBAAAA,OAAO,QAAQ,OAAO,YAAY;AACvK,QAAM,aAAa,MAAMM,IAAE,SAAS,KAAK,GAAG,CAAC;AAC7C,QAAM,SAAS,MAAMA,IAAE,GAAG,KAAK;AAC/B,QAAM,YAAY,MAAMA,IAAE,MAAM,KAAK;AACrC,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,QAAM,oBAAoC,CAAC;AAC3C,QAAM,QAAQ;AACd,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,OAAO,KAAK;AAC9C,UAAM,QAAQ,QAAQ,OAAO,QAAQ,IAAI,CAAC,CAAC;AAC3C,UAAM,WAAW,QAAQ,OAAO,QAAQ,IAAI,CAAC,CAAC;AAC9C,UAAM,WAAW,KAAK,MAAM,MAAM,QAAQ,WAAW,SAAS,IAAI;AAClE,UAAM,cAAqB,CAAC,OAAO,QAAQ,IAAI,CAAC,IAAIL,YAAW,OAAO,QAAQ,IAAI,CAAC,IAAIA,YAAW,OAAO,QAAQ,IAAI,CAAC,IAAI,CAAC;AAC3H,UAAM,WAAkB,CAAC,KAAK,MAAMM,YAAW,CAAC,IAAI,YAAY,CAAC,CAAC,GAAG,KAAK,MAAMA,YAAW,CAAC,IAAI,YAAY,CAAC,CAAC,GAAG,YAAY,CAAC,CAAW;AACzI,UAAME,YAAkB,CAAC,UAAU,QAAQ,IAAI,CAAC,GAAG,UAAU,QAAQ,IAAI,CAAC,GAAG,UAAU,QAAQ,IAAI,CAAC,IAAI,CAAC;AACzG,sBAAkB,KAAK,EAAE,MAAa,IAAI,CAAC,GAAmB,aAAa,UAAU,UAAAA,WAAU,OAAO,SAAS,CAAC;AAAA,EAClH;AACA,MAAI,aAAaP,QAAO,KAAK,iBAAiB;AAAI,WAAO;AACzD,eAAa,iBAAiB;AAC9B,QAAM,YAA4B,iBAAiB,mBAAmBK,WAAU;AAChF,QAAM,OAAO,UAAU,IAAI,CAAC,MAAM,EAAE,QAAQ;AAC5C,QAAM,QAAY,KAAK,MAAM,CAACA,YAAW,CAAC,GAAGA,YAAW,CAAC,CAAC,CAAC;AAC3D,QAAMG,eAAiD,CAAC;AACxD,aAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAe,SAAS,GAAG;AAC9D,UAAM,KAAgB,CAAC;AACvB,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAACF,SAAQA,KAAI,SAAS,QAAQ,CAAC,CAAC;AAC3D,YAAM,MAAM,UAAU,KAAK,CAACA,SAAQA,KAAI,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC/D,UAAI,OAAO;AAAK,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,IACtD;AACA,IAAAE,aAAY,IAAI,IAAI;AAAA,EACtB;AACA,QAAMC,QAAO,EAAE,IAAI,GAAG,OAAO,KAAK,MAAM,MAAM,SAAS,IAAI,KAAK,KAAK,MAAM,KAAK,QAAQ,MAAM,QAAQ,WAAW,aAAAD,aAAY;AAC7H,SAAOC;AACT;AAEA,eAAsB,QAAQ,OAAiBT,SAAuC;AApKtF,MAAAE,KAAAC,KAAAO;AAqKE,QAAML,cAA+B,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC9E,QAAM,YAAYL,QAAO,KAAK,YAAY,KAAM,IAAI,IAAI;AACxD,QAAM,YAAY,WAAWA,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,aAAa,UAAU,MAAM;AACjE;AAAA,EACF,OAAO;AACL,QAAI,QAAuB,CAAC;AAC5B,SAAIG,OAAAD,MAAAF,QAAO,SAAP,gBAAAE,IAAc,gBAAd,gBAAAC,IAA4B,YAAY;AAC1C,YAAM,gBAAgB,aAAa,OAAO,GAAG;AAC7C,cAAQ,MAAM,YAAY,eAAeH,SAAQK,WAAU;AAC3D,MAAG,GAAQ,aAAa;AAAA,IAC1B,OAAO;AACL,cAAQ,CAAC,EAAE,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,GAAU,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,EAAE,CAAC;AAAA,IACvE;AACA,aAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,YAAM,cAAc,aAAa,OAAO,MAAKK,MAAA,MAAM,CAAC,MAAP,gBAAAA,IAAU,MAAM;AAC7D,YAAM,SAAS;AACf,YAAM,aAAa,MAAM,gBAAgB,aAAaV,SAAQK,WAAU;AACxE,MAAG,GAAQ,WAAW;AACtB,UAAI,CAAC;AAAY;AACjB,iBAAW,KAAK;AAEhB,YAAM,KAAK,UAAU;AAAA,IACvB;AAeA,eAAW,IAAI;AACf,cAAU;AAAA,EACZ;AACA,SAAO;AACT;;;AC5MO,IAAMM,UAAS;AAAA,EACpB,EAAE,OAAO,GAAG,OAAO,SAAS;AAAA,EAC5B,EAAE,OAAO,GAAG,OAAO,UAAU;AAAA,EAC7B,EAAE,OAAO,GAAG,OAAO,MAAM;AAAA,EACzB,EAAE,OAAO,GAAG,OAAO,aAAa;AAAA,EAChC,EAAE,OAAO,GAAG,OAAO,WAAW;AAAA,EAC9B,EAAE,OAAO,GAAG,OAAO,MAAM;AAAA,EACzB,EAAE,OAAO,GAAG,OAAO,QAAQ;AAAA,EAC3B,EAAE,OAAO,GAAG,OAAO,QAAQ;AAAA,EAC3B,EAAE,OAAO,GAAG,OAAO,OAAO;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,cAAc;AAAA,EAClC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,iBAAiB;AAAA,EACrC,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,KAAK;AAAA,EACzB,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,aAAa;AACnC;;;ACrEA,IAAIC;AACJ,IAAIC,aAAY;AAChB,IAAIC,QAAuB,CAAC;AAC5B,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsB,KAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAL,SAAQ;AACzB,MAAI,CAACA,QAAO;AAEV,IAAAA,SAAQ,MAAM,UAAUK,QAAO,OAAO,SAAS;AAC/C,UAAM,UAASL,UAAA,gBAAAA,OAAQ,eAAc,OAAO,OAAOA,OAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAC,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWI,QAAO;AAAO,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,eAAeM,SAAQ,KAAoB,aAA+BD,SAAgB;AACxF,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAME,MAA4B,CAAC;AACnC,QAAM,UAA0B,CAAC;AACjC,QAAM,aAAa,MAAM,IAAI,MAAM;AACnC,EAAAA,IAAE,UAAa,GAAQ,GAAG;AAC1B,QAAM,MAAS,GAAMA,IAAE,SAAS,GAAG,CAAC;AACpC,EAAAA,IAAE,QAAW,GAAM,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAG,CAAC;AACtD,EAAAA,IAAE,QAAW,GAAQA,IAAE,KAAK;AAC5B,EAAAA,IAAE,SAAY,GAAQ,IAAI,CAAC,CAAC;AAC5B,EAAAA,IAAE,UAAa,GAAQ,IAAI,CAAC,CAAC;AAC7B,EAAG,GAAQ,CAAC,KAAK,GAAG,GAAG,CAAC;AACxB,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,QAAoBF,QAAO,OAAO,eAAe,GAAGA,QAAO,OAAO,cAAeA,QAAO,OAAO,iBAAiB,CAAE;AACvL,QAAM,MAAM,MAAME,IAAE,IAAI,KAAK;AAC7B,MAAI,IAAI;AACR,aAAWC,OAAM,MAAM,KAAK,GAAG,GAAG;AAChC,UAAM,QAAQ,KAAK,MAAM,MAAM,WAAW,CAAC,EAAEA,GAAE,EAAE,CAAC,CAAC,IAAI;AACvD,UAAM,WAAW,WAAW,CAAC,EAAEA,GAAE,EAAE,CAAC;AACpC,QAAI,OAAO,MAAM,QAAQ;AAAG;AAC5B,UAAM,QAAQC,QAAO,QAAQ,EAAE;AAC/B,UAAM,CAAC,GAAGC,EAAC,IAAI;AAAA,MACb,WAAW,CAAC,EAAEF,GAAE,EAAE,CAAC,IAAIP;AAAA,MACvB,WAAW,CAAC,EAAEO,GAAE,EAAE,CAAC,IAAIP;AAAA,IACzB;AACA,UAAM,SAAc;AAAA,MAClB;AAAA,MACAS;AAAA,MACA,WAAW,CAAC,EAAEF,GAAE,EAAE,CAAC,IAAIP,aAAY;AAAA,MACnC,WAAW,CAAC,EAAEO,GAAE,EAAE,CAAC,IAAIP,aAAYS;AAAA,IACrC;AACA,UAAM,MAAW;AAAA,MACf,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,IACvC;AACA,YAAQ,KAAK,EAAE,IAAI,KAAK,OAAO,OAAO,UAAU,OAAO,KAAK,OAAO,CAAC;AAAA,EACtE;AACA,SAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsBI,SAAQ,OAAiBN,SAAyC;AACtF,MAAI,EAACL,UAAA,gBAAAA,OAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYK,QAAO,OAAO,YAAY,KAAM,IAAI,IAAIF;AAC1D,QAAM,YAAYC,YAAWC,QAAO,OAAO,cAAc;AACzD,MAAIA,QAAO,eAAe,YAAY,aAAcH,MAAK,SAAS,GAAI;AACpE,IAAAE;AACA,WAAOF;AAAA,EACT;AACA,EAAAE,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMQ,cAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC5D,UAAM,SAAY,GAAM,eAAe,OAAO,CAACX,YAAWA,UAAS,CAAC;AACpE,UAAM,UAAUI,QAAO,OAAO,UAAUL,UAAA,gBAAAA,OAAO,QAAQ,QAAQ,CAAC,oBAAoB,KAAe;AACnG,IAAAG,YAAW,IAAI;AACf,IAAG,GAAQ,MAAM;AAEjB,UAAM,MAAM,MAAMG,SAAQ,SAASM,aAAYP,OAAM;AACrD,IAAAH,QAAO;AAEP,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AChGA;AAAA;AAAA,mBAAAW;AAAA,EAAA,WAAAC;AAAA;AAAO,IAAMA,OAAgB;AAAA,EAC3B;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AACF;AAEO,IAAMD,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,WAAW;AAAA,EAC5C,UAAU,CAAC,YAAY,aAAa,YAAY;AAAA,EAChD,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW,cAAc;AAAA,EAC9E,SAAS,CAAC,gBAAgB,aAAa,WAAW;AAAA,EAClD,UAAU,CAAC,iBAAiB,cAAc,YAAY;AAAA,EACtD,MAAM,CAAC;AACT;;;ACVA,IAAIE;AACJ,IAAIC,YAAW;AACf,IAAMC,SAAoB,EAAE,IAAI,GAAG,WAAW,CAAC,GAAG,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,GAAG,aAAa,CAAC,EAAuC;AAM1J,IAAIC,WAAU,OAAO;AAErB,eAAsBC,MAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAL,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,UAAUK,QAAO,KAAK,SAAS;AAAA,WAChDA,QAAO;AAAO,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAGA,eAAe,MAAM,QAAQ,UAA6C;AACxE,QAAM,CAAC,OAAO,MAAM,IAAI,OAAO;AAC/B,QAAM,WAAc,EAAQ,QAAQ,CAAC,SAAS,KAAK,CAAC;AACpD,QAAM,MAAS,GAAI,UAAU,CAAC;AAC9B,QAAM,YAAoB,MAAM,IAAI,KAAK,GAAG,CAAC;AAC7C,MAAI,WAAW,UAAU;AACvB,UAAM,cAAiB,GAAO,UAAU,CAAC;AACzC,UAAM,MAAS,GAAI,aAAa,KAAK;AACrC,UAAM,KAAK,MAAM,IAAI,KAAK,GAAG,CAAC;AAC9B,UAAM,MAAS,GAAI,aAAa,KAAK;AACrC,UAAMM,MAAa,MAAM,IAAI,KAAK,GAAG,CAAC;AACtC,IAAG,GAAQ,CAAC,UAAU,KAAK,aAAa,KAAK,GAAG,CAAC;AACjD,WAAO,CAAC,GAAGA,IAAG,QAAQ;AAAA,EACxB;AACA,EAAG,GAAQ,CAAC,UAAU,GAAG,CAAC;AAC1B,SAAO,CAAC,GAAG,GAAG,QAAQ;AACxB;AAEA,eAAsBC,SAAQ,OAAiBF,SAAuC;AACpF,MAAI,EAACL,UAAA,gBAAAA,OAAQ,gBAAe,EAACA,UAAA,gBAAAA,OAAO,OAAO,GAAG;AAAO,WAAO,CAAC;AAC7D,QAAM,YAAYK,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIJ;AACxD,QAAM,YAAYE,YAAWE,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,aAAa,OAAO,KAAKH,OAAM,SAAS,EAAE,SAAS,GAAG;AAC1F,IAAAC;AACA,WAAO,CAACD,MAAK;AAAA,EACf;AACA,EAAAC,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAK,MAAM;AA9DjC,UAAAK,KAAAC;AA+DM,YAAM,SAAY,GAAM,eAAe,OAAO,GAACD,MAAAR,UAAA,gBAAAA,OAAO,OAAO,GAAG,UAAjB,gBAAAQ,IAAyB,OAAM,KAAGC,MAAAT,UAAA,gBAAAA,OAAO,OAAO,GAAG,UAAjB,gBAAAS,IAAyB,OAAM,CAAC,GAAG,KAAK;AACzH,YAAMC,WAAa,GAAI,QAAQ,UAAU,GAAG;AAC5C,YAAM,OAAU,GAAIA,UAAS,UAAU,GAAG;AAC1C,aAAO;AAAA,IACT,CAAC;AACD,QAAI;AACJ,QAAIL,QAAO,KAAK;AAAS,aAAOL,UAAA,gBAAAA,OAAO,QAAQ;AAC/C,IAAAC,YAAW,IAAI;AACf,IAAG,GAAQ,MAAM;AAEjB,QAAI,MAAM;AACR,MAAAC,OAAM,UAAU,SAAS;AACzB,YAAM,UAAa,GAAQ,IAAI;AAC/B,MAAG,GAAQ,IAAI;AAEf,YAAM,QAAW,GAAQ,SAAS,CAAC;AACnC,MAAG,GAAQ,OAAO;AAGlB,eAASS,MAAK,GAAGA,MAAK,MAAM,QAAQA,OAAM;AAExC,cAAM,CAACC,IAAGN,KAAG,SAAS,IAAI,MAAM,MAAM,MAAMK,GAAE,GAAGN,QAAO,KAAK,aAAa;AAC1E,YAAI,aAAaA,QAAO,KAAK,iBAAiB,IAAI;AAChD,UAAAH,OAAM,UAAU,KAAK;AAAA,YACnB,OAAO,KAAK,MAAM,MAAM,SAAS,IAAI;AAAA,YACrC,MAAaW,KAAIF,GAAE;AAAA,YACnB,aAAa;AAAA;AAAA;AAAA,cAEXC,KAAIZ,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC;AAAA,cAAGM,MAAIN,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC;AAAA,YAC3D;AAAA,YACA,UAAU;AAAA;AAAA;AAAA,cAER,KAAK,MAAM,MAAM,MAAM,CAAC,IAAIY,KAAIZ,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC;AAAA,cAAG,KAAK,MAAM,MAAM,MAAM,CAAC,IAAIM,MAAIN,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC;AAAA,YACrH;AAAA,UACF,CAAC;AAAA,QACH;AAAA,MACF;AACA,YAAM,QAAQ,CAAC,MAAS,GAAQ,CAAC,CAAC;AAAA,IACpC;AACA,IAAAE,OAAM,QAAQA,OAAM,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO,CAAC;AAC/F,UAAM,IAAIA,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS,CAAC,CAAC;AAClD,UAAMI,KAAIJ,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS,CAAC,CAAC;AAClD,IAAAA,OAAM,MAAM;AAAA,MACV,KAAK,IAAI,GAAG,CAAC;AAAA,MACb,KAAK,IAAI,GAAGI,EAAC;AAAA,MACb,KAAK,IAAI,GAAG,CAAC,IAAI,KAAK,IAAI,GAAG,CAAC;AAAA,MAC9B,KAAK,IAAI,GAAGA,EAAC,IAAI,KAAK,IAAI,GAAGA,EAAC;AAAA,IAChC;AACA,UAAM,OAAOJ,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY,CAAC,CAAC;AACxD,UAAM,OAAOA,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY,CAAC,CAAC;AACxD,IAAAA,OAAM,SAAS;AAAA,MACb,KAAK,IAAI,GAAG,IAAI;AAAA,MAChB,KAAK,IAAI,GAAG,IAAI;AAAA,MAChB,KAAK,IAAI,GAAG,IAAI,IAAI,KAAK,IAAI,GAAG,IAAI;AAAA,MACpC,KAAK,IAAI,GAAG,IAAI,IAAI,KAAK,IAAI,GAAG,IAAI;AAAA,IACtC;AACA,eAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeY,UAAS,GAAG;AAC9D,YAAM,KAAgB,CAAC;AACvB,eAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,cAAM,MAAMZ,OAAM,UAAU,KAAK,CAACW,SAAQA,KAAI,SAAS,QAAQ,CAAC,CAAC;AACjE,cAAM,MAAMX,OAAM,UAAU,KAAK,CAACW,SAAQA,KAAI,SAAS,QAAQ,IAAI,CAAC,CAAC;AACrE,YAAI,OAAO,OAAO,IAAI,SAASR,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,aAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,MACtJ;AACA,MAAAH,OAAM,YAAY,IAAI,IAAI;AAAA,IAC5B;AACA,YAAQ,CAACA,MAAK,CAAC;AAAA,EACjB,CAAC;AACH;;;ACnHO,IAAM,aAAa,CAAC,QAA0B,CAAC,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC,CAAC;AAE3I,IAAM,eAAe,CAAC,QAAkC,CAAC,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK,GAAG,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK,GAAG,CAAC;AAExL,IAAM,WAAW,CAAC,KAAK,UAAgB,MAAM;AAAA,EAClD,KAAK,MAAM,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EACzC,KAAK,MAAM,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EACzC,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,IAAI,SAAS,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EAC5F,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,IAAI,SAAS,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAC9F,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AAER,IAAM,YAAY,CAAC,KAAK,UAAgB,MAAM;AAAA,EACnD,IAAI,WAAW,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK;AAAA,EACvC,IAAI,WAAW,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK;AAAA,GACtC,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,GAC1D,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAC7D,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AAER,IAAM,sBAAsB,CAAC,KAAK,QAAQ,WAAW;AAC1D,QAAM,aAAoB,CAAC,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,CAAC;AACvF,QAAM,WAAkB,CAAC,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,CAAC;AAEjF,QAAM,YAAY,IAAI,UAAU,IAAI,CAAC,OAAO,EAAE,GAAG,CAAC,IAAI,OAAO,CAAC,KAAK,OAAO,CAAC,IAAI,GAAG,CAAC,IAAI,OAAO,CAAC,KAAK,OAAO,CAAC,CAAC,CAAC;AAQ9G,SAAO,EAAE,YAAY,UAAU,WAAW,YAAY,IAAI,WAAW;AACvE;AAEO,IAAM,eAAe,CAAC,KAAK,OAAO,aAAa;AACpD,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,SAAS,CAAC,IAAI,WAAW,CAAC,IAAI,GAAG,IAAI,WAAW,CAAC,IAAI,GAAG,IAAI,SAAS,CAAC,IAAI,GAAG,IAAI,SAAS,CAAC,IAAI,CAAC;AACtG,QAAM,OAAU,GAAM,cAAc,OAAO,CAAC,MAAM,GAAG,CAAC,CAAC,GAAG,QAAQ;AAClE,QAAM,OAAU,GAAI,MAAM,UAAU,KAAK;AACzC,EAAG,GAAQ,IAAI;AACf,SAAO;AACT;AAEO,IAAM,aAAa,CAAC,KAAK,WAAW;AACzC,QAAM,SAAS,aAAa,GAAG;AAC/B,QAAMa,QAAO,WAAW,GAAG;AAC3B,QAAM,WAA6B,CAAC,SAASA,MAAK,CAAC,IAAI,GAAG,SAASA,MAAK,CAAC,IAAI,CAAC;AAC9E,SAAO;AAAA,IACL,YAAY,CAAC,OAAO,CAAC,IAAI,SAAS,CAAC,GAAG,OAAO,CAAC,IAAI,SAAS,CAAC,CAAC;AAAA,IAC7D,UAAU,CAAC,OAAO,CAAC,IAAI,SAAS,CAAC,GAAG,OAAO,CAAC,IAAI,SAAS,CAAC,CAAC;AAAA,IAC3D,WAAW,IAAI;AAAA,IACf,YAAY,IAAI;AAAA,IAChB,MAAAA;AAAA,EACF;AACF;AAEO,IAAM,cAAc,CAAC,QAAQ;AAClC,QAAM,UAAU,aAAa,GAAG;AAChC,QAAMA,QAAO,WAAW,GAAG;AAC3B,QAAM,WAAW,KAAK,IAAI,GAAGA,KAAI,IAAI;AACrC,SAAO;AAAA,IACL,YAAY,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC;AAAA,IACjF,UAAU,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC;AAAA,IAC/E,WAAW,IAAI;AAAA,IACf,YAAY,IAAI;AAAA,IAChB,MAAM,CAAC,KAAK,MAAMA,MAAK,CAAC,CAAC,GAAG,KAAK,MAAMA,MAAK,CAAC,CAAC,CAAC;AAAA,EACjD;AACF;AAEO,IAAM,gCAAgC,CAAC,cAAc;AAC1D,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACnC,QAAMC,KAAI,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACnC,SAAO;AAAA,IACL,YAAY,CAAC,KAAK,IAAI,GAAG,CAAC,GAAG,KAAK,IAAI,GAAGA,EAAC,CAAC;AAAA,IAC3C,UAAU,CAAC,KAAK,IAAI,GAAG,CAAC,GAAG,KAAK,IAAI,GAAGA,EAAC,CAAC;AAAA,IACzC;AAAA,EACF;AACF;AAEO,IAAM,sBAAsB,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAE5D,IAAM,mBAAmB,CAAC,UAAkB,QAAQ,IAAI,KAAK,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,KAAK,GAAG;AAE9G,IAAM,kBAAkB,CAAC,QAAQ,WAAW,iBAAiB,KAAK,KAAK,IAAI,KAAK,MAAM,EAAE,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,CAAC,CAAC;AAItI,IAAM,yBAAyB,CAAC,GAAGC,OAAM,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAGA,EAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAEzE,IAAM,MAAM,CAACC,KAAcC,QAAiB;AACjD,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAID,IAAG,QAAQ;AAAK,eAAWA,IAAG,CAAC,IAAIC,IAAG,CAAC;AAC3D,SAAO;AACT;AAEO,IAAM,qBAAqB,CAAC,KAAK,gBAAgB;AACtD,QAAM,SAAmB,CAAC;AAC1B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ;AAAK,WAAO,KAAK,IAAI,CAAC,EAAE,WAAW,CAAC;AACpE,SAAO;AACT;AAEO,IAAM,4BAA4B,CAAC,MAAM,SAAS;AACvD,QAAM,UAAsB,CAAC;AAC7B,QAAMC,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,YAAQ,KAAK,CAAC,CAAC;AACf,aAAS,MAAM,GAAG,MAAMA,OAAM;AAAO,cAAQ,GAAG,EAAE,KAAK,IAAI,KAAK,GAAG,GAAG,mBAAmB,MAAM,GAAG,CAAC,CAAC;AAAA,EACtG;AACA,SAAO;AACT;AAEO,IAAM,sBAAsB,CAAC,UAAU,WAAW;AACvD,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AACpE,QAAM,oBAAoB,uBAAuB,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACrE,QAAM,2BAA2B,0BAA0B,mBAAmB,cAAc;AAC5F,QAAM,4BAA4B,uBAAuB,CAAC,OAAO,CAAC,GAAG,CAAC,OAAO,CAAC,CAAC;AAC/E,SAAO,0BAA0B,0BAA0B,yBAAyB;AACtF;AAEO,IAAM,wBAAwB,CAAC,WAAW;AAC/C,QAAM,oBAAoB,CAAC,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,CAAC;AACrF,QAAM,uBAAuB,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACxD,QAAM,sBAAsB,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,oBAAoB,GAAG,CAAC,IAAI,kBAAkB,CAAC,GAAG,oBAAoB,CAAC;AAC/H,SAAO,CAAC,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC,GAAG,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAC7H;AAEO,IAAM,cAAc,CAAC,uBAAuB,mBAAmB,CAAC,IAAI,uBAAuB,eAAe,CAAC,CAAC,GAAG,IAAI,uBAAuB,eAAe,CAAC,CAAC,CAAC;AAI5J,SAAS,gBAAgBC,aAAmB;AACjD,QAAM,OAAOA,gBAAc,MACvB,EAAE,SAAS,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC,EAAE,IAC7B,EAAE,SAAS,CAACA,cAAY,IAAIA,cAAY,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,EAAE;AAChE,QAAMC,WAA8B,CAAC;AACrC,WAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,QAAQ,KAAK;AAC5C,UAAM,SAAS,KAAK,QAAQ,CAAC;AAC7B,UAAM,WAAW,KAAK,OAAOD,cAAY,SAAS,KAAK,MAAM;AAC7D,UAAM,WAAW,KAAK,OAAOA,cAAY,SAAS,KAAK,MAAM;AAC7D,UAAM,aAAa,KAAK,QAAQ,CAAC;AACjC,aAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,YAAM,UAAU,UAAU,QAAQ;AAClC,eAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,cAAM,UAAU,UAAU,QAAQ;AAClC,iBAAS,IAAI,GAAG,IAAI,YAAY;AAAK,UAAAC,SAAQ,KAAK,CAAC,SAAS,OAAO,CAAC;AAAA,MACtE;AAAA,IACF;AAAA,EACF;AACA,SAAOA;AACT;AAEO,SAAS,mBAAmB,WAAW,KAAK,OAAO,gBAAgBD,aAAW;AACnF,QAAM,UAAU,WAAW,GAAG;AAC9B,QAAM,eAAe,UAAU,IAAI,CAAC,UAAW;AAAA;AAAA,IAC5C,QAAQ,CAAC,IAAIA,eAAc,MAAM,CAAC,IAAKA,cAAY;AAAA,IACnD,QAAQ,CAAC,IAAIA,eAAc,MAAM,CAAC,IAAKA,cAAY;AAAA,IACnD,MAAM,CAAC,KAAK;AAAA,EACf,CAAE;AACF,QAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,KAAK,IAAI;AAChE,QAAM,uBAAuB,aAAa,oBAAoB,OAAO,CAAC,GAAG,CAAC,CAAC,IAAI;AAC/E,QAAM,gBAAgB,aAAa,aAAa,IAAI,CAAC,UAAW,CAAC,GAAG,YAAY,OAAO,oBAAoB,GAAG,MAAM,CAAC,CAAC,CAAE,IAAI;AAC5H,QAAM,wBAAwB,aAAa,sBAAsB,cAAc,IAAI;AACnF,QAAM,YAAY,aAAa,GAAG;AAClC,QAAM,UAAU,CAAC,IAAI,WAAW,sBAAsB,CAAC,CAAC,GAAG,IAAI,WAAW,sBAAsB,CAAC,CAAC,CAAC;AACnG,SAAO,cAAc,IAAI,CAAC,UAAW;AAAA,IACnC,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,CAAC,CAAC;AAAA,IAChC,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,CAAC,CAAC;AAAA,IAChC,KAAK,MAAM,MAAM,CAAC,KAAK,CAAC;AAAA,EAC1B,CAAE;AACJ;AAEO,SAAS,oBAAoB,QAAQ,KAAK,OAAOA,aAAW;AACjE,QAAM,eAAgB,IAAI,UAAU,UAAiB,cAAc,QACxD,cAAc,eACd,mBAAmB;AAC9B,MAAI,QAAQ;AACZ,MAAI,iBAAiB;AACrB,MAAIE;AAEJ,MAAI,UAAU,IAAI,QAAQ,SAAS,kBAAkB,GAAG;AACtD,YAAQ,gBAAgB,IAAI,UAAU,aAAa,CAAC,CAAC,GAAG,IAAI,UAAU,aAAa,CAAC,CAAC,CAAC;AACtF,UAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,KAAK,IAAI;AAChE,QAAI,YAAY;AACd,YAAM,SAAgB,aAAa,GAAG;AACtC,YAAM,YAAmB,CAAC,OAAO,CAAC,IAAI,MAAM,MAAM,CAAC,GAAG,OAAO,CAAC,IAAI,MAAM,MAAM,CAAC,CAAC;AAChF,YAAM,UAAa,GAAM,iBAAiB,OAAO,OAAO,GAAG,CAAC,UAAU,CAAC,GAAG,UAAU,CAAC,CAAC,CAAC;AACvF,uBAAiB,oBAAoB,CAAC,OAAO,MAAM;AACnD,MAAAA,QAAO,aAAa,KAAK,SAAS,CAACF,aAAWA,WAAS,CAAC;AACxD,MAAG,GAAQ,OAAO;AAAA,IACpB,OAAO;AACL,MAAAE,QAAO,aAAa,KAAK,OAAO,CAACF,aAAWA,WAAS,CAAC;AAAA,IACxD;AAAA,EACF,OAAO;AACL,IAAAE,QAAO,aAAa,KAAK,OAAO,CAACF,aAAWA,WAAS,CAAC;AAAA,EACxD;AACA,SAAO,CAAC,OAAO,gBAAgBE,KAAI;AACrC;AAEO,IAAM,iBAAiB,CAAC,SAAS;AACtC,QAAM,IAAI,KAAK,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AAC9B,QAAMC,KAAI,KAAK,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AAO9B,SAAO,CAAC,KAAK,IAAI,GAAG,CAAC,KAAK,KAAK,IAAI,GAAG,CAAC,IAAI,KAAK,IAAI,GAAG,CAAC,KAAK,GAAG,KAAK,IAAI,GAAGA,EAAC,KAAK,KAAK,IAAI,GAAGA,EAAC,IAAI,KAAK,IAAI,GAAGA,EAAC,KAAK,CAAC;AACxH;AAEO,IAAM,mBAAmB,CAAC,MAAM,gBAAgB;AACrD,QAAM,SAAS,eAAe,IAAI;AAClC,QAAM,UAAU,WAAW,WAAW;AACtC,QAAM,gBAAgB;AAAA,IACpB,YAAY,CAAC,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,GAAG,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,CAAC;AAAA,IACnE,UAAU,CAAC,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,GAAG,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,CAAC;AAAA,EACnE;AACA,SAAO;AACT;;;AC5NA,IAAM,iBAAiB;AACvB,IAAM,qBAAqB;AAC3B,IAAIC;AACJ,IAAI,UAAyB;AAC7B,IAAIC,aAAY;AAChB,IAAI,aAA4B;AAIzB,IAAM,OAAO,MAAMA;AAE1B,eAAsBC,MAAKC,SAAqC;AA1BhE,MAAAC;AA2BE,MAAI,IAAI;AAAS,IAAAJ,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUI,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAAA,WAC1DD,QAAO;AAAO,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAC7D,EAAAC,aAAaD,OAAM,UAAU,KAAKA,OAAM,OAAO,CAAC,EAAE,QAASA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AACtF,eAAgB,GAAOC,YAAW,OAAO;AACzC,YAAa,GAAc,gBAAgBA,UAAS,CAAC;AACrD,SAAOD;AACT;AAEA,SAASK,aAAY,YAAoB;AACvC,MAAI,CAAC,WAAW,CAAC;AAAY,WAAU,GAAM,CAAC,GAAG,CAAC,CAAC;AACnD,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,YAAe,GAAM,YAAY,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAClD,EAAAA,IAAE,UAAa,GAAIA,IAAE,WAAW,OAAO;AACvC,EAAAA,IAAE,WAAc,GAAM,YAAY,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,EAAAA,IAAE,qBAAwB,GAAIA,IAAE,UAAU,UAAU;AACpD,EAAAA,IAAE,oBAAuB,GAAIA,IAAE,SAAS,UAAU;AAClD,EAAAA,IAAE,cAAiB,GAAIA,IAAE,oBAAoB,UAAU,GAAG;AAC1D,EAAAA,IAAE,SAAY,GAAIA,IAAE,mBAAmBA,IAAE,WAAW;AACpD,EAAAA,IAAE,OAAU,GAAIA,IAAE,mBAAmBA,IAAE,WAAW;AAClD,EAAAA,IAAE,kBAAqB,GAAIA,IAAE,QAAQ,UAAU;AAC/C,EAAAA,IAAE,gBAAmB,GAAIA,IAAE,MAAM,UAAU;AAC3C,QAAM,QAAW,GAAS,CAACA,IAAE,iBAA6BA,IAAE,aAAyB,GAAG,CAAC;AACzF,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsB,SAAS,YAAsBH,SAAsC;AAtD3F,MAAAC,KAAAG,KAAAC,KAAAC,KAAA,IAAAC;AAwDE,MAAK,CAAC,cAAgB,WAAW,oBAAoB,KAAO,WAAW,MAAM,WAAW,KAAO,WAAW,MAAM,CAAC,IAAI,KAAO,WAAW,MAAM,CAAC,IAAI;AAAI,WAAO,CAAC;AAC9J,QAAMJ,MAA4B,CAAC;AACnC,EAAAA,IAAE,UAAa,GAAM,eAAe,YAAY,CAACL,YAAWA,UAAS,CAAC;AACtE,EAAAK,IAAE,MAAS,GAAIA,IAAE,SAAS,UAAU,KAAK;AACzC,EAAAA,IAAE,aAAgB,GAAIA,IAAE,KAAK,UAAU,IAAI;AAC3C,QAAM,MAAMN,UAAA,gBAAAA,OAAO,QAAQM,IAAE;AAC7B,MAAI,MAAM,QAAQ,GAAG,KAAK,IAAI,SAAS,GAAG;AACxC,UAAM,SAAS,IAAI,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE,IAAI;AACjD,IAAAA,IAAE,YAAe,GAAO,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC,GAAG,CAAC;AACjD,IAAAA,IAAE,YAAe,GAAO,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC,GAAG,CAAC;AACjD,IAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,WAAWA,IAAE,SAAS,GAAG,CAAC;AAClD,IAAAA,IAAE,QAAW,GAAQA,IAAE,QAAQ,CAAC,CAAC,CAAC;AAAA,EACpC,WAAW,MAAM,QAAQ,GAAG,GAAG;AAC7B,IAAAA,IAAE,QAAW,GAAQ,IAAI,CAAC,CAAC;AAAA,EAC7B,OAAO;AACL,IAAAA,IAAE,QAAW,GAAQ,GAAG;AAAA,EAC1B;AACA,EAAG,GAAQ,GAAG;AACd,EAAAA,IAAE,QAAQD,aAAYC,IAAE,KAAK;AAC7B,EAAAA,IAAE,SAAY,GAAMA,IAAE,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC5C,EAAAA,IAAE,UAAa,GAAQA,IAAE,MAAM;AAC/B,EAAAA,IAAE,SAAY,GAAQA,IAAE,OAAO;AAC/B,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,UAAqBF,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,gBAAe,KAAKG,MAAAJ,QAAO,KAAK,aAAZ,gBAAAI,IAAsB,iBAAgB,KAAKC,MAAAL,QAAO,KAAK,aAAZ,gBAAAK,IAAsB,kBAAiB,CAAE;AACxN,QAAM,MAAM,MAAMF,IAAE,IAAI,MAAM;AAC9B,QAAM,QAAqB,CAAC;AAC5B,QAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,aAAa,OAAO,IAAI,CAAC,CAAC;AAEhC,QAAI,gBAAcG,MAAAN,QAAO,KAAK,aAAZ,gBAAAM,IAAsB,kBAAiB,IAAI;AAC3D,YAAM,IAA4B,CAAC;AACnC,QAAE,OAAU,GAAMH,IAAE,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AAC/C,QAAE,QAAW,GAAMA,IAAE,OAAO,CAAC,IAAI,CAAC,GAAG,iBAAiB,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AACjE,QAAE,UAAa,GAAQ,EAAE,KAAK;AAC9B,QAAE,YAAe,EAAQ,EAAE,SAAS,CAAC,gBAAgB,EAAE,CAAC;AACxD,YAAM,SAAS,MAAM,EAAE,KAAK,KAAK;AACjC,YAAM,SAAS;AAAA,QACb,YAAY,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AAAA,QACjC,UAAU,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AAAA,QAC/B,WAAY,MAAM,EAAE,UAAU,MAAM;AAAA,QACpC;AAAA,MACF;AACA,QAAE,SAAY,GAAM,SAAmB,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAC1D,YAAM,SAAS,MAAM,EAAE,OAAO,KAAK;AACnC,YAAM,YAAiB,oBAAoB,QAAQ,EAAE,WAAW,MAAM,CAAC,KAAK,KAAKL,aAAY,WAAW,MAAM,CAAC,KAAK,KAAKA,UAAS,GAAG,MAAM;AAC3I,YAAM,cAAmB,WAAW,WAAWE,QAAO,KAAK,OAAO,KAAK,kBAAkB;AACzF,YAAM,aAAkB,YAAY,WAAW;AAC/C,UAAI,WAAW,KAAK,CAAC,OAAK,KAAAA,QAAO,KAAK,aAAZ,mBAAuB,eAAc,MAAM,WAAW,KAAK,CAAC,OAAKO,MAAAP,QAAO,KAAK,aAAZ,gBAAAO,IAAuB,eAAc;AAAI,cAAM,KAAK,UAAU;AACzJ,aAAO,KAAK,CAAC,EAAE,QAAQ,CAAC,WAAc,GAAQ,EAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AAAA,EACF;AACA,SAAO,KAAKJ,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACnGA,IAAIK;AACJ,IAAIC,aAAY;AAEhB,IAAM,cAAc;AAEpB,IAAM,cAAqB,gBAAgB;AAC3C,IAAM,eAAsB,gBAAgB;AAE5C,IAAM,eAAe;AAAA,EACnB,YAAY,CAAC,YAAY,CAAC,GAAG,YAAY,YAAY,SAAS,CAAC,CAAC;AAAA,EAChE,aAAa,CAAC,aAAa,CAAC,GAAG,aAAa,aAAa,SAAS,CAAC,CAAC;AACtE;AAEA,IAAM,gBAAgB;AAAA,EACpB,aAAa;AAAA,EACb,aAAa;AAAA,EACb,OAAO;AAAA,EACP,gBAAgB;AAClB;AAEA,eAAsBC,MAAKC,SAAqC;AA9BhE,MAAAC,KAAAC;AA+BE,MAAI,IAAI;AAAS,IAAAL,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUI,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,SAAS;AAAA,WACtDD,QAAO;AAAO,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAC7D,EAAAC,cAAaD,UAAA,gBAAAA,OAAQ,kBAAeK,MAAAL,OAAM,WAAN,gBAAAK,IAAe,GAAG,SAASL,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AAC1F,MAAIC,eAAc;AAAI,IAAAA,aAAY;AAClC,SAAOD;AACT;AAGO,SAAS,kBAAkB,WAAW,WAAW,QAAQ,MAAM;AACpE,WAAS,IAAI,GAAG,IAAW,YAAY,QAAQ,KAAK;AAClD,UAAM,EAAE,KAAK,QAAQ,IAAW,YAAY,CAAC;AAC7C,UAAM,kBAAyB,gBAAgB,GAAG,SAAS,KAAK;AAChE,QAAI,CAAC,QAAQ,KAAK,SAAS,GAAG,GAAG;AAC/B,eAASM,MAAI,GAAGA,MAAI,QAAQ,QAAQA,OAAK;AACvC,cAAMC,SAAQ,QAAQD,GAAC;AACvB,kBAAU,gBAAgBA,GAAC,CAAC,IAAI;AAAA,UAC9B,UAAUC,MAAK,EAAE,CAAC;AAAA,UAClB,UAAUA,MAAK,EAAE,CAAC;AAAA,WACjB,UAAUA,MAAK,EAAE,CAAC,IAAI,UAAU,gBAAgBD,GAAC,CAAC,EAAE,CAAC,KAAK;AAAA,QAC7D;AAAA,MACF;AAAA,IACF;AAAA,EACF;AACF;AAEO,IAAM,mCAAmC,CAAC,cAAc;AAC7D,QAAM,WAAW,UAAU,aAAa,WAAW,CAAC,CAAC,EAAE,CAAC;AACxD,QAAM,YAAY,UAAU,aAAa,YAAY,CAAC,CAAC,EAAE,CAAC;AAC1D,SAAO,WAAW;AACpB;AAGO,IAAM,YAAY,CAAC,WAAWE,OAAM,qBAAqB,qBAAqB,UAAU,OAAO,UAAU;AAC9G,QAAM,MAAW,YAAiB,WAAgB,8BAA8B,CAAC,UAAU,mBAAmB,GAAG,UAAU,mBAAmB,CAAC,CAAC,GAAG,WAAW,CAAC;AAC/J,QAAM,UAAe,WAAW,GAAG;AACnC,MAAI,OAAU,GAAM,cAAcA,OAAM,CAAC;AAAA,IACvC,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,WAAW,CAAC,IAAI;AAAA,IAAU,IAAI,SAAS,CAAC,IAAI;AAAA,IAChD,IAAI,SAAS,CAAC,IAAI;AAAA,EACpB,CAAC,GAAG,CAAC,CAAC,GAAG,CAACP,YAAWA,UAAS,CAAC;AAC/B,MAAI,QAAQ,IAAI,QAAQ,SAAS,eAAe,GAAG;AACjD,UAAM,UAAa,GAAM,cAAc,IAAI;AAC3C,IAAG,GAAQ,IAAI;AACf,WAAO;AAAA,EACT;AACA,SAAO,EAAE,KAAK,SAAS,KAAK;AAC9B;AAGO,IAAM,eAAe,CAAC,SAAS,QAAQ,YAAY,OAAO,UAAU;AACzE,QAAM,eAAwB,CAAC;AAC/B,WAAS,IAAI,GAAG,IAAI,cAAc,gBAAgB,KAAK;AACrD,UAAM,IAAI,QAAQ,IAAI,CAAC;AACvB,UAAMQ,KAAI,QAAQ,IAAI,IAAI,CAAC;AAC3B,UAAM,IAAI,QAAQ,IAAI,IAAI,CAAC;AAC3B,iBAAa,KAAK;AAAA,OACf,OAAQ,IAAK,IAAIR,aAAe,IAAIA,cAAc,WAAW,CAAC,IAAI,OAAO,WAAW,CAAC;AAAA,MACrFQ,KAAIR,aAAa,WAAW,CAAC,IAAI,OAAO,WAAW,CAAC;AAAA,MAAG;AAAA,IAC1D,CAAC;AAAA,EACH;AACA,SAAO,EAAE,WAAW,cAAc,MAAM,aAAa,MAAM,cAAc,KAAK,EAAE;AAClF;AAGO,IAAM,wBAAwB,CAAC,WAAW,YAAY,cAAc;AACzE,QAAM,eAAe,UAAiB,gBAAgB,GAAG,oBAAoB,EAAE,cAAc,WAAW,CAAC,EAAE,CAAC;AAC5G,QAAM,eAAe,UAAiB,gBAAgB,GAAG,oBAAoB,EAAE,cAAc,WAAW,CAAC,EAAE,CAAC;AAC5G,QAAM,YAAY,eAAe,gBAAgB;AAEjD,SAAO,WAAW,IAAI,CAAC,OAAO,MAAM;AAClC,QAAI,IAAI;AACR,QAAI,MAAM,GAAG;AACX,UAAI;AAAA,IACN,WAAW,MAAM,GAAG;AAClB,UAAI;AAAA,IACN;AACA,WAAO,CAAC,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,CAAC;AAAA,EAC/B,CAAC;AACH;AAEA,eAAsB,YAAY,WAAWO,OAAM,UAAU;AAC3D,MAAI,EAACR,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAM,EAAE,KAAK,YAAY,SAAS,gBAAgB,MAAM,YAAY,IAAI,UAAU,WAAWQ,OAAM,aAAa,WAAW,CAAC,GAAG,aAAa,WAAW,CAAC,GAAG,UAAU,IAAI;AACzK,QAAM,EAAE,KAAK,aAAa,SAAS,iBAAiB,MAAM,aAAa,IAAI,UAAU,WAAWA,OAAM,aAAa,YAAY,CAAC,GAAG,aAAa,YAAY,CAAC,GAAG,UAAU,IAAI;AAC9K,QAAM,WAAc,GAAO,CAAC,aAAa,YAAY,CAAC;AACtD,EAAG,GAAQ,WAAW;AACtB,EAAG,GAAQ,YAAY;AACvB,QAAM,iBAAiBR,OAAM,QAAQ,QAAQ;AAC7C,EAAG,GAAQ,QAAQ;AACnB,QAAM,qBAAqB,MAAM,eAAe,KAAK;AACrD,EAAG,GAAQ,cAAc;AACzB,QAAM,cAAc,mBAAmB,MAAM,GAAG,cAAc,iBAAiB,CAAC;AAChF,QAAM,EAAE,WAAW,kBAAkB,MAAM,kBAAkB,IAAI,aAAa,aAAa,YAAY,gBAAgB,IAAI;AAC3H,QAAM,eAAe,mBAAmB,MAAM,cAAc,iBAAiB,CAAC;AAC9E,QAAM,EAAE,WAAW,mBAAmB,MAAM,mBAAmB,IAAI,aAAa,cAAc,aAAa,iBAAiB,KAAK;AACjI,QAAM,gCAAgC,iCAAiC,SAAS;AAChF,MAAI,KAAK,IAAI,6BAA6B,IAAI,IAAI;AAChD,sBAAkB,WAAW,kBAAkB,QAAQ,IAAI;AAC3D,sBAAkB,WAAW,mBAAmB,SAAS,IAAI;AAAA,EAE/D,WAAW,gCAAgC,GAAG;AAC5C,sBAAkB,WAAW,kBAAkB,QAAQ,CAAC,aAAa,WAAW,CAAC;AAAA,EACnF,OAAO;AACL,sBAAkB,WAAW,mBAAmB,SAAS,CAAC,aAAa,WAAW,CAAC;AAAA,EACrF;AACA,QAAM,yBAAyB,sBAAsB,WAAW,mBAAmB,MAAM;AACzF,QAAM,0BAA0B,sBAAsB,WAAW,oBAAoB,OAAO;AAC5F,QAAM,YAAY,UAAU,OAAO,sBAAsB,EAAE,OAAO,uBAAuB;AACzF,SAAO;AACT;;;AC1IA,eAAsB,QAAQ,WAAW,SAAmB;AAH5D,MAAAU,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC;AAIE,QAAMC,MAAkC;AAAA;AAAA;AAAA;AAAA,IAGtC,MAAM,QAAMR,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,gBAAAA,IAAwC,OAAxC,gBAAAC,IAA4C;AAAA;AAAA,IACxD,OAAO,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,EAAE,MAAnC,gBAAAA,IAAuC,OAAvC,gBAAAC,IAA2C;AAAA;AAAA,IACxD,MAAM,QAAMC,OAAA,aAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,mBAAwC,OAAxC,gBAAAA,IAA4C;AAAA;AAAA,IACxD,OAAO,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,EAAE,MAAnC,gBAAAA,IAAuC,OAAvC,gBAAAC,IAA2C;AAAA;AAAA,IACxD,MAAM,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,gBAAAA,IAAwC,OAAxC,gBAAAC,IAA4C;AAAA;AAAA,EAC1D;AACA,aAAW,OAAO,OAAO,OAAOC,GAAC,GAAG;AAClC,QAAI,CAAC;AAAK,aAAO;AAAA,EACnB;AAGA,QAAM,aAAuB,qCAAqC,OAAO,CAAC,MAAM,SAAS,QAAQ,UAAU,IAAI,EAAE,CAAC,GAAG,CAAC,IAAc,qCAAqC;AACzK,WAAS,IAAI,GAAG,IAAIA,IAAE,MAAM,SAAS,GAAG;AAAK,cAAU,KAAK,CAACA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAGA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAG,UAAU,CAAC;AAChH,QAAM,aAAuB,sCAAsC,OAAO,CAAC,MAAM,SAAS,QAAQ,UAAU,IAAI,EAAE,CAAC,GAAG,CAAC,IAAc,sCAAsC;AAC3K,WAAS,IAAI,GAAG,IAAIA,IAAE,MAAM,SAAS,GAAG;AAAK,cAAU,KAAK,CAACA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAGA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAG,UAAU,CAAC;AAGhH,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,qCAAqC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,qCAAqC,CAAC,CAAC,EAAE,CAAC,CAAC;AACjN,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,sCAAsC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,sCAAsC,CAAC,CAAC,EAAE,CAAC,CAAC;AAGnN,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,iCAAiC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,iCAAiC,CAAC,CAAC,EAAE,CAAC,CAAC;AAEzM,SAAO;AACT;;;ACPA,IAAMC,SAAQ;AAAA,EACZ,OAAO,CAAC;AAAA,EACR,SAAS,OAAO;AAAA,EAChB,WAAW;AACb;AAEA,IAAIC,SAA2B;AAC/B,IAAIC,aAAY;AAEhB,eAAsBC,SAAQ,OAAiBC,SAAuC;AAjCtF,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC;AAmCE,QAAM,cAAYR,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,aAAY,KAAM,IAAI,IAAIL,OAAM;AACxE,QAAM,YAAYA,OAAM,aAAWM,MAAAF,QAAO,KAAK,aAAZ,gBAAAE,IAAsB,eAAc;AACvE,MAAI,CAACF,QAAO,eAAe,CAAC,YAAY,CAAC,aAAaJ,OAAM,MAAM,WAAW,GAAG;AAC9E,IAAAA,OAAM,QAAQ,MAAgB,SAAS,OAAOI,OAAM;AACpD,IAAAJ,OAAM,YAAY,IAAI;AACtB,IAAAA,OAAM,UAAU;AAAA,EAClB,OAAO;AACL,IAAAA,OAAM;AAAA,EACR;AACA,QAAM,QAAsB,CAAC;AAC7B,QAAM,WAAwB,CAAC;AAC/B,MAAIc,MAAK;AACT,QAAMC,QAAOb;AACb,WAAS,IAAI,GAAG,IAAIF,OAAM,MAAM,QAAQ,KAAK;AAC3C,UAAM,MAAMA,OAAM,MAAM,CAAC;AACzB,QAAI,QAAQ;AACZ,QAAI;AACJ,UAAMgB,QAAmB;AAAA;AAAA,MACvB,IAAIF;AAAA,MACJ,MAAM,CAAC;AAAA,MACP,SAAS,CAAC;AAAA,MACV,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,MAChB,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,MACnB,OAAO;AAAA,MACP,UAAU;AAAA,MACV,WAAW;AAAA,MACX,MAAM,CAAC,GAAG,CAAC;AAAA;AAAA;AAAA,MAGX,aAAa,CAAC;AAAA,IAChB;AAGA,KAAC,OAAO,gBAAgBE,MAAK,MAAM,IAAS,qBAAoBT,MAAAH,QAAO,KAAK,aAAZ,gBAAAG,IAAsB,UAAU,KAAK,SAAOC,MAAAJ,QAAO,KAAK,SAAZ,gBAAAI,IAAkB,WAAUN,aAAsB,KAAK,CAAC;AACpK,QAAIE,QAAO,OAAO,cAAc;AAC9B,YAAM,YAAYY,MAAK,SAAS,MAAM,sBAAsBA,MAAK,MAAM,IAAI;AAC3E,MAAG,GAAQA,MAAK,MAAM;AACtB,UAAI;AAAW,QAAAA,MAAK,SAAS;AAAA,IAC/B;AACA,IAAAA,MAAK,WAAW,KAAK,MAAM,MAAM,IAAI,UAAU,IAAI;AACnD,QAAI,GAAC,KAAAZ,QAAO,KAAK,SAAZ,mBAAkB,YAAW,EAACH,UAAA,gBAAAA,OAAQ,cAAa;AACtD,MAAAe,MAAK,MAAW,SAAS,KAAK,KAAK;AACnC,MAAAA,MAAK,SAAc,UAAU,KAAK,KAAK;AACvC,MAAAA,MAAK,QAAQA,MAAK;AAClB,MAAAA,MAAK,OAAO,IAAI;AAChB,MAAAA,MAAK,OAAO,IAAI;AAChB,MAAAA,MAAK,UAAUA,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,GAAG,CAAC,KAAK,KAAKD,KAAI,CAAC;AACxH,iBAAW,OAAO,OAAO,KAAY,kBAAkB;AAAG,QAAAC,MAAK,YAAY,GAAG,IAAI,CAACA,MAAK,KAAY,mBAAmB,GAAG,CAAW,CAAC;AAAA,IACxI,WAAW,CAACf,QAAO;AACjB,UAAIG,QAAO;AAAO,YAAI,wDAAwD;AAAA,IAChF,OAAO;AACL,YAAIK,MAAAL,QAAO,KAAK,cAAZ,gBAAAK,IAAuB,YAAW,CAAC,IAAI,QAAQ,SAAS,OAAO,GAAG;AACpE,QAAAL,QAAO,KAAK,UAAU,UAAU;AAChC,QAAG,GAAQY,MAAK,MAAM;AACtB,eAAO;AAAA,MACT;AACA,YAAM,UAAUf,OAAM,QAAQe,MAAK,MAAgB;AACnD,YAAM,cAAc,QAAQ,KAAK,CAACC,QAAMA,IAAE,MAAMA,IAAE,MAAM,SAAS,CAAC,MAAM,CAAC;AACzE,YAAM,iBAAiB,MAAM,YAAY,KAAK;AAC9C,MAAAD,MAAK,YAAY,KAAK,MAAM,MAAM,eAAe,CAAC,CAAC,IAAI;AACvD,UAAIA,MAAK,eAAaN,MAAAN,QAAO,KAAK,aAAZ,gBAAAM,IAAsB,kBAAiB,IAAI;AAC/D,YAAI,aAAaM,MAAK;AACtB,YAAIZ,QAAO,KAAK,KAAK,aAAa,GAAG;AACnC,UAAAY,MAAK,MAAW,SAAS,KAAK,KAAK;AACnC,UAAAA,MAAK,SAAc,UAAU,KAAK,KAAK;AACvC,UAAAA,MAAK,QAAQA,MAAK;AAClB,UAAAA,MAAK,OAAO,IAAI;AAChB,UAAAA,MAAK,UAAUA,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,GAAG,CAAC,KAAK,KAAKD,KAAI,CAAC;AACxH,qBAAW,OAAO,OAAO,KAAY,kBAAkB,GAAG;AACxD,YAAAC,MAAK,YAAY,GAAG,IAAI,CAACA,MAAK,KAAY,mBAAmB,GAAG,CAAW,CAAC;AAAA,UAC9E;AAAA,QACF;AAAA,MACF,OAAO;AACL,cAAM,QAAQ,QAAQ,KAAK,CAACC,QAAMA,IAAE,MAAMA,IAAE,MAAM,SAAS,CAAC,MAAM,IAAI;AACtE,cAAM,iBAAoB,EAAQ,OAAO,CAAC,IAAI,CAAC,CAAC;AAChD,YAAI,YAAY,MAAM,eAAe,MAAM;AAC3C,QAAG,GAAQ,cAAc;AACzB,aAAIN,MAAAP,QAAO,KAAK,cAAZ,gBAAAO,IAAuB,SAAS;AAClC,sBAAY,MAAgB,QAAQ,WAAW,OAAO;AAAA,QACxD,YAAWC,MAAAR,QAAO,KAAK,SAAZ,gBAAAQ,IAAkB,SAAS;AACpC,sBAAY,MAAW,YAAY,WAAWI,MAAK,QAAQd,UAAS;AAAA,QACtE;AACA,QAAAc,MAAK,OAAY,mBAAmB,WAAW,KAAK,OAAO,gBAAgBd,UAAS;AACpF,QAAAc,MAAK,UAAUA,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,GAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,GAAG,CAAC,KAAK,KAAKD,KAAI,CAAC;AACxH,mBAAW,OAAO,OAAO,KAAY,eAAe;AAAG,UAAAC,MAAK,YAAY,GAAG,IAAW,gBAAgB,GAAG,EAAE,IAAI,CAACE,WAAUF,MAAK,KAAKE,MAAK,CAAC;AAC1I,QAAAF,MAAK,QAAQA,MAAK;AAClB,cAAM,gBAAgB;AAAA,UACpB,GAAQ,iBAAiBA,MAAK,MAAM,GAAG;AAAA,UACvC,YAAY,IAAI;AAAA,UAChB,WAAW,IAAI;AAAA,UACf,MAAM,IAAI;AAAA,QACZ;AACA,QAAAA,MAAK,MAAW,SAAS,eAAe,KAAK;AAC7C,QAAAA,MAAK,SAAc,UAAU,eAAe,KAAK;AAQjD,iBAAS,KAAK,aAAa;AAAA,MAC7B;AACA,MAAG,GAAQ,OAAO;AAAA,IACpB;AACA,QAAIA,MAAK,WAASH,MAAAT,QAAO,KAAK,aAAZ,gBAAAS,IAAsB,kBAAiB;AAAI,YAAM,KAAKG,KAAI;AAAA;AACvE,MAAG,GAAQA,MAAK,MAAM;AAAA,EAC7B;AACA,EAAAhB,OAAM,QAAQ;AACd,SAAO;AACT;AAEA,eAAsBmB,MAAKf,SAAqC;AAnJhE,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC;AAoJE,MAAI,IAAI;AAAS,IAAAR,SAAQ;AACzB,QAAII,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,aAAWJ,UAAA,gBAAAA,OAAQ,eAAc;AAC1D,QAAI,OAAO,OAAKK,MAAAL,UAAA,gBAAAA,OAAQ,iBAAR,gBAAAK,IAAsB,YAAW,CAAC,CAAC,EAAE,SAAS;AAAG,MAAAL,SAAQ;AAAA,EAC3E;AACA,MAAI,CAACA,QAAO;AACV,SAAIM,MAAAH,QAAO,KAAK,cAAZ,gBAAAG,IAAuB;AAAS,MAAAN,SAAQ,MAAM,UAAUG,QAAO,KAAK,UAAU,SAAS;AAAA;AACtF,MAAAH,SAAQ,MAAM,WAAUO,MAAAJ,QAAO,KAAK,SAAZ,gBAAAI,IAAkB,SAAS;AAAA,EAC1D,WAAWJ,QAAO,OAAO;AACvB,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAAA,EACxC;AACA,EAAAC,aAAaD,OAAM,UAAU,OAAK,KAAAA,UAAA,gBAAAA,OAAO,WAAP,mBAAgB,GAAG,UAASQ,MAAAR,UAAA,gBAAAA,OAAO,WAAP,gBAAAQ,IAAgB,GAAG,MAAM,KAAK;AAC5F,SAAOR;AACT;AAEO,IAAM,gBAAuB;AAC7B,IAAM,QAAe;;;ACpJ5B,IAAI,cAAwB,CAAC;AAC7B,IAAImB;AACJ,IAAMC,QAAgD,CAAC;AACvD,IAAI,YAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AACrB,IAAI,MAAM;AAEV,eAAsBC,MAAKC,SAAqC;AAvBhE,MAAAC,KAAAC,KAAAC;AAwBE,MAAI,IAAI;AAAS,IAAAR,SAAQ;AACzB,MAAI,CAACA,QAAO;AACV,IAAAA,SAAQ,MAAM,WAAUM,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,SAAS;AACtD,YAAME,OAAAD,MAAAP,UAAA,gBAAAA,OAAO,WAAP,gBAAAO,IAAgB,GAAG,UAAnB,gBAAAC,IAA2B,QAAO;AACxC,QAAI,CAAC;AAAK,oBAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,OAAO,YAAY,SAAS;AAAA;AACrF,oBAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,WAAW,OAAO,UAAU;AAAA,EACvF,WAAWH,QAAO,OAAO;AACvB,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAAA,EACxC;AACA,SAAOA;AACT;AAEA,eAAsBS,SAAQ,OAAiBJ,SAAgB,KAAaK,QAA+D;AApC3I,MAAAJ,KAAAC;AAqCE,MAAI,CAACP;AAAO,WAAO,CAAC;AACpB,QAAM,YAAYG,cAAWG,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,eAAc;AAChE,QAAM,cAAYC,MAAAF,QAAO,KAAK,YAAZ,gBAAAE,IAAqB,aAAY,KAAM,IAAI,IAAIL;AACjE,MAAIG,QAAO,eAAe,YAAY,aAAc,cAAcK,UAAUT,MAAK,GAAG,KAAMA,MAAK,GAAG,EAAE,SAAS,GAAI;AAC/G,IAAAE;AACA,WAAOF,MAAK,GAAG;AAAA,EACjB;AACA,EAAAE,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA7CxC,QAAAG,KAAAC,KAAAC;AA8CI,UAAM,MAA6C,CAAC;AACpD,SAAIF,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,SAAS;AAChC,YAAMK,MAA4B,CAAC;AACnC,YAAMC,eAAYZ,UAAA,gBAAAA,OAAO,OAAO,GAAG,SAAQA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AACtE,YAAIO,MAAAF,QAAO,KAAK,YAAZ,gBAAAE,IAAsB,WAAU,GAAG;AACrC,cAAM,QAAOC,MAAAH,QAAO,KAAK,YAAZ,gBAAAG,IAAsB;AACnC,cAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,QAAAG,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACC,aAAWA,WAAS,CAAC;AAAA,MAC3E,OAAO;AACL,QAAAD,IAAE,SAAY,GAAM,eAAe,OAAO,CAACC,aAAWA,WAAS,GAAG,KAAK;AAAA,MACzE;AACA,UAAI,KAAK;AACP,QAAAD,IAAE,MAAS,GAAIA,IAAE,QAAQ,GAAG;AAC5B,QAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,CAAC,SAAS,SAAS,MAAM,CAAC;AACtD,QAAAA,IAAE,UAAUX,UAAA,gBAAAA,OAAO,QAAQW,IAAE;AAAA,MAC/B,OAAO;AAOL,QAAAA,IAAE,WAAc,GAAIA,IAAE,QAAQ,UAAU,GAAG;AAC3C,QAAAA,IAAE,YAAe,GAAIA,IAAE,UAAU,GAAG,IAAI;AACxC,QAAAA,IAAE,eAAkB,GAAIA,IAAE,WAAW,UAAU,IAAI;AACnD,QAAAA,IAAE,eAAkB,GAAIA,IAAE,cAAc,UAAU,GAAG;AACrD,QAAAA,IAAE,UAAUX,UAAA,gBAAAA,OAAO,QAAQW,IAAE;AAAA,MAC/B;AACA,MAAAT,YAAW,IAAI;AACf,YAAM,OAAO,MAAMS,IAAE,QAAQ,KAAK;AAClC,eAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,YAAI,KAAK,CAAC,KAAKN,QAAO,KAAK,QAAQ,iBAAiB;AAAI,cAAI,KAAK,EAAE,OAAO,KAAK,IAAI,MAAM,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,GAAG,GAAG,SAAS,YAAY,CAAC,EAAa,CAAC;AAAA,MACjK;AACA,UAAI,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACpC,aAAO,KAAKM,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAV,MAAK,GAAG,IAAI;AACZ,gBAAYS;AACZ,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AClEA,IAAIG;AACJ,IAAMC,QAAkB,CAAC;AAEzB,IAAIC,YAAW;AACf,IAAIC,aAAY;AAChB,IAAIC,WAAU,OAAO;AAErB,eAAsBC,MAAKC,SAAqC;AA3BhE,MAAAC;AA4BE,MAAI,IAAI;AAAS,IAAAP,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,SAAS;AAAA,WAC7DD,QAAO;AAAO,QAAI,iBAAiBN,OAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEO,SAAS,QAAQ,OAAOM,SAAwB;AAlCvD,MAAAC,KAAAC;AAmCE,QAAM,SAAU,MAAM,SAAS,MAAM,UAAU;AAC/C,MAAI,EAACR,UAAA,gBAAAA,OAAO,OAAO,GAAG;AAAO,WAAO;AACpC,MAAI;AACJ,QAAIO,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAA0B,WAAU,GAAG;AACzC,UAAM,WAAUC,MAAAF,QAAO,KAAK,gBAAZ,gBAAAE,IAA0B;AAC1C,UAAM,MAAM,CAAC,CAAC,SAAS,SAAS,IAAI,SAAS,IAAI,OAAO,CAAC;AACzD,WAAU,GAAM,cAAc,QAAQ,KAAK,CAAC,CAAC,GAAG,CAACR,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,EACtG,OAAO;AACL,WAAU,GAAM,eAAe,QAAQ,CAACA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,EACpG;AACA,QAAM,OAAkB,GAAI,MAAM,UAAU,KAAK;AACjD,EAAG,GAAQ,IAAI;AACf,SAAO;AAkBT;AAEA,eAAsBS,SAAQ,OAAiBH,SAAgB,KAAaI,QAAiC;AAnE7G,MAAAH,KAAAC,KAAAG,KAAAC;AAoEE,QAAM,MAAe;AAAA,IACnB,KAAK;AAAA,IACL,QAAQ;AAAA,IACR,aAAa;AAAA,IACb,YAAY,CAAC;AAAA,EACf;AACA,MAAI,EAACZ,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAM,YAAYI,cAAWG,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,eAAc;AACpE,QAAM,cAAYC,MAAAF,QAAO,KAAK,gBAAZ,gBAAAE,IAAyB,aAAY,KAAM,IAAI,IAAIN;AACrE,MAAII,QAAO,eAAe,aAAa,YAAaH,eAAcO,YAAWC,MAAAV,SAAA,gBAAAA,MAAO,SAAP,gBAAAU,IAAa,OAAM,OAAOC,MAAAX,SAAA,gBAAAA,MAAO,SAAP,gBAAAW,IAAa,eAAc,GAAI;AACpI,IAAAR;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAlFxC,QAAAG;AAmFI,SAAIA,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,SAAS;AACpC,YAAM,WAAW,QAAQ,OAAOD,OAAM;AACtC,YAAM,OAAON,UAAA,gBAAAA,OAAO,QAAQ;AAC5B,MAAAE,YAAW,IAAI;AACf,MAAG,GAAQ,QAAQ;AACnB,YAAM,UAAU,KAAK,KAAK,CAACW,QAAMA,IAAE,MAAM,CAAC,MAAM,CAAC;AACjD,YAAMC,UAAS,MAAM,QAAQ,KAAK;AAClC,YAAM,aAAa,KAAK,MAAM,MAAM,KAAK,IAAKA,QAAO,CAAC,IAAI,GAAI,CAAC,IAAI;AACnE,UAAI,cAAcR,QAAO,KAAK,YAAY,iBAAiB,IAAI;AAC7D,YAAI,SAASQ,QAAO,CAAC,KAAK,MAAM,WAAW;AAC3C,YAAI,cAAc,KAAK,IAAI,MAAM,UAAU;AAAA,MAC7C;AACA,YAAM,SAAY,GAAO,KAAK,KAAK,CAACD,QAAMA,IAAE,MAAM,CAAC,MAAM,GAAG,GAAe,CAAC;AAC5E,YAAM,UAAkB,MAAM,OAAO,KAAK,GAAG,CAAC;AAC9C,MAAG,GAAQ,MAAM;AACjB,YAAM,OAAO,KAAK,KAAK,CAACA,QAAMA,IAAE,MAAM,CAAC,MAAM,GAAG;AAChD,YAAME,OAAM,MAAM,KAAK,KAAK;AAC5B,UAAI,MAAM,KAAK,MAAMA,KAAI,SAAS,CAAC,IAAIA,KAAI,SAAS,CAAC,IAAI,KAAK,SAAS,MAAMA,KAAI,SAAS,CAAC,IAAI,KAAK,SAAS,MAAMA,KAAI,SAAS,CAAC,CAAC,IAAI;AAEtI,UAAI,OAAO,MAAMD,QAAO,CAAC,CAAC,KAAK,OAAO,MAAMC,KAAI,CAAC,CAAC;AAAG,YAAI,kBAAkB,EAAE,OAAAf,QAAO,QAAQ,KAAK,CAAC;AAElG,YAAM,OAAO,KAAK,KAAK,CAACa,QAAMA,IAAE,MAAM,CAAC,MAAM,IAAI;AAGjD,YAAM,aAAa,OAAO,MAAM,KAAK,KAAK,IAAI,CAAC;AAC/C,UAAI,aAAa,MAAM,KAAK,UAAU;AACtC,WAAK,QAAQ,CAACA,QAAS,GAAQA,GAAC,CAAC;AAAA,IACnC;AACA,IAAAZ,MAAK,GAAG,IAAI;AACZ,IAAAE,aAAYO;AACZ,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC9GA,IAAM,aAAa;AACnB,IAAM,QAAQ;AAGd,SAAS,WAAW,GAAWM,IAAW,SAA8C;AACtF,MAAI,SAAS;AACb,MAAIC,MAAI,QAAQ,SAAS;AACzB,WAAS,IAAI,GAAG,IAAI,QAAQ,QAAQA,MAAI,KAAK;AAC3C,QAAM,QAAQ,CAAC,EAAE,IAAID,OAAQ,QAAQC,GAAC,EAAE,IAAID,MAAQ,KAAK,QAAQC,GAAC,EAAE,IAAI,QAAQ,CAAC,EAAE,MAAMD,KAAI,QAAQ,CAAC,EAAE,MAAM,QAAQC,GAAC,EAAE,IAAI,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE;AAAI,eAAS,CAAC;AAAA,EACxK;AACA,SAAO;AACT;AAEA,eAAsB,KAAKC,OAA+C;AACxE,MAAI,CAACA,MAAK;AAAQ,WAAOA,MAAK;AAC9B,MAAI,CAACA,MAAK,QAAQA,MAAK,KAAK,SAAS;AAAK,WAAOA,MAAK;AACtD,QAAM,QAAQA,MAAK,OAAO,MAAM,CAAC,KAAK;AACtC,QAAM,SAASA,MAAK,OAAO,MAAM,CAAC,KAAK;AACvC,QAAM,SAAS,MAAMA,MAAK,OAAO,OAAO;AACxC,MAAI,aAAyC,CAAC;AAC9C,aAAW,MAAM,gBAAgB;AAAY,eAAW,KAAK,EAAE,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,IAAIA,MAAK,IAAI,CAAC,KAAKA,MAAK,IAAI,CAAC,GAAG,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,IAAIA,MAAK,IAAI,CAAC,KAAKA,MAAK,IAAI,CAAC,EAAE,CAAC;AACrK,MAAI,cAAc,aAAa;AAAG,iBAAa,WAAW,IAAI,CAAC,QAAQ,EAAE,GAAG,GAAG,IAAI,MAAM,GAAG,IAAI,aAAa,GAAG,IAAI,YAAY,GAAG,GAAG,IAAI,MAAM,GAAG,IAAI,aAAa,GAAG,IAAI,WAAW,EAAE;AACxL,WAAS,IAAI,GAAG,IAAI,OAAO,KAAK;AAC9B,aAASF,KAAI,GAAGA,KAAI,QAAQA,MAAK;AAC/B,YAAM,SAAS,WAAW,IAAI,OAAOA,KAAI,OAAO,UAAU;AAC1D,UAAI,CAAC,QAAQ;AACX,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AACrD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AACrD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AAAA,MACvD;AAAA,IACF;AAAA,EACF;AACA,QAAM,SAAS,OAAO,SAAS;AAE/B,SAAO;AACT;;;AC7BA,IAAIG;AACJ,IAAM,SAAmB,CAAC;AAC1B,IAAIC,WAAU,OAAO;AACrB,IAAIC,aAAY;AAChB,IAAIC,YAAW;AAEf,eAAsBC,MAAKC,SAAqC;AAjBhE,MAAAC;AAkBE,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUM,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,SAAS;AAAA,WAC3DD,QAAO;AAAO,QAAI,iBAAiBL,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,SAAQ,OAAiBF,SAAgB,KAAaG,QAAgC;AAxB5G,MAAAF,KAAAG;AAyBE,MAAI,EAACT,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AACjC,QAAM,cAAYM,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,aAAY,KAAM,IAAI,IAAIH;AACnE,QAAM,YAAYF,cAAWQ,MAAAJ,QAAO,KAAK,cAAZ,gBAAAI,IAAuB,eAAc;AAClE,MAAIJ,QAAO,eAAe,YAAY,aAAcH,eAAcM,UAAU,OAAO,GAAG,GAAG;AACvF,IAAAP;AACA,WAAO,OAAO,GAAG;AAAA,EACnB;AACA,EAAAA,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAM,eAAe,OAAO,EAACD,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,IAAGA,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AACnK,UAAM,MAAMA,WAAA,gBAAAA,QAAO,QAAQ;AAC3B,UAAM,OAAO,MAAM,IAAI,KAAK,GAAG,CAAC;AAChC,WAAO,GAAG,IAAI,KAAK,MAAM,MAAM,GAAG,IAAI;AACtC,IAAAE,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,IAAG,GAAQ,CAAC,QAAQ,GAAG,CAAC;AACxB,YAAQ,OAAO,GAAG,CAAC;AAAA,EACrB,CAAC;AACH;;;AChCA,IAAIO;AACJ,IAAMC,UAAmB,CAAC;AAC1B,IAAIC,WAAU,OAAO;AACrB,IAAIC,aAAY;AAChB,IAAIC,YAAW;AAEf,eAAsBC,MAAKC,SAAqC;AAjBhE,MAAAC;AAkBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAAA,WAC1DD,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBQ,SAAQ,OAAiBF,SAAgB,KAAaG,QAAgC;AAxB5G,MAAAF,KAAAG;AAyBE,MAAI,EAACV,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AACjC,QAAM,cAAYO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,aAAY,KAAM,IAAI,IAAIH;AAClE,QAAM,YAAYF,cAAWQ,MAAAJ,QAAO,KAAK,aAAZ,gBAAAI,IAAsB,eAAc;AACjE,MAAIJ,QAAO,eAAe,YAAY,aAAcH,eAAcM,UAAUR,QAAO,GAAG,GAAG;AACvF,IAAAC;AACA,WAAOD,QAAO,GAAG;AAAA,EACnB;AACA,EAAAC,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAM,eAAe,OAAO,EAACF,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,IAAGA,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AACnK,UAAM,MAAMA,WAAA,gBAAAA,QAAO,QAAQ;AAC3B,UAAM,OAAO,MAAM,IAAI,KAAK,GAAG,CAAC;AAChC,IAAAC,QAAO,GAAG,IAAI,KAAK,MAAM,MAAM,GAAG,IAAI;AACtC,IAAAE,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,IAAG,GAAQ,CAAC,QAAQ,GAAG,CAAC;AACxB,YAAQH,QAAO,GAAG,CAAC;AAAA,EACrB,CAAC;AACH;;;AC5BA,IAAIU;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAM,YAAY,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO;AAC/D,IAAM,aAAa,CAAC,IAAI,IAAI,IAAI,MAAM,MAAM,MAAM,EAAE;AACpD,IAAIC,aAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAgB;AAvB3C,MAAAC;AAwBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,SAAS;AAAA,WACtDD,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBQ,SAAQ,OAAiBF,SAAgB,KAAaG,QAAkC;AA9B9G,MAAAF,KAAAG;AA+BE,MAAI,CAACV;AAAO,WAAO,EAAE,KAAK,GAAG,QAAQ,WAAW,aAAa,GAAG,MAAM,CAAC,EAAE;AACzE,QAAM,YAAYI,cAAWG,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,eAAc;AAC7D,QAAM,cAAYG,MAAAJ,QAAO,KAAK,SAAZ,gBAAAI,IAAkB,aAAY,KAAM,IAAI,IAAIP;AAC9D,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcO,UAAUR,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAvCxC,QAAAG,KAAAG,KAAAC,KAAAC;AAwCI,QAAI,EAACZ,WAAA,gBAAAA,QAAO,OAAO,GAAG;AAAO;AAC7B,UAAMa,MAA4B,CAAC;AAEnC,QAAI,MAAM,CAAC,CAAC,GAAK,KAAM,KAAM,GAAI,CAAC;AAClC,UAAIN,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAmB,WAAU,GAAG;AAClC,YAAM,QAAOG,MAAAJ,QAAO,KAAK,SAAZ,gBAAAI,IAAmB;AAChC,YAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAAA,IACzC;AACA,IAAAG,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AACvG,UAAM,MAAgB,EAAE,KAAK,GAAG,QAAQ,WAAW,aAAa,GAAG,MAAM,CAAC,EAAE;AAC5E,SAAIW,MAAAL,QAAO,KAAK,SAAZ,gBAAAK,IAAkB;AAAS,OAACE,IAAE,KAAKA,IAAE,QAAQA,IAAE,IAAI,IAAIb,QAAM,QAAQa,IAAE,QAAQ,CAAC,cAAc,iBAAiB,aAAa,CAAC;AACjI,UAAMC,UAAS,MAAMD,IAAE,OAAO,KAAK;AACnC,QAAI,SAASC,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAI,SAAS;AAC9C,QAAI,cAAc,KAAK,MAAM,OAAOA,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAIA,QAAO,CAAC,EAAE,IAAI;AACtF,UAAM,OAAO,MAAMD,IAAE,KAAK,KAAK;AAC/B,aAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,UAAI,KAAK,CAAC,OAAKD,MAAAN,QAAO,KAAK,SAAZ,gBAAAM,IAAkB,kBAAiB;AAAM,YAAI,KAAK,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,KAAK,MAAM,UAAU,CAAC,EAAU,CAAC;AAAA,IAC9I;AACA,QAAI,KAAK,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AAEzC,UAAM,kBAAkB,MAAM,KAAK,MAAMC,IAAE,IAAI,KAAK,CAAC;AACrD,UAAM,YAAY,gBAAgB,IAAI,CAAC,GAAG,MAAM,CAAC,WAAW,CAAC,GAAG,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,MAAM,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC;AAC9F,QAAIE,OAAM,UAAU,CAAC,EAAE,CAAC;AACxB,aAAS,IAAI,GAAG,IAAI,UAAU,QAAQ;AAAK,MAAAA,QAAO,UAAU,CAAC,EAAE,CAAC,KAAK,UAAU,CAAC,EAAE,CAAC,IAAIA;AACvF,QAAI,MAAM,KAAK,MAAM,KAAKA,IAAG,IAAI;AACjC,WAAO,KAAKF,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAZ,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYO;AACZ,IAAAN,YAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;ACzDA,IAAIa;AACJ,IAAMC,QAA0B,CAAC;AACjC,IAAIC,aAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAgB;AACzC,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,UAAUM,QAAO,KAAK,QAAQ,EAAE,YAAY;AAAA,WAC7DA,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,UAAQ,OAAiBD,SAAgB,KAAaE,QAAyC;AA3BrH,MAAAC,KAAAC,KAAAC,KAAAC;AA4BE,MAAI,CAACZ;AAAO,WAAO,EAAE,KAAK,EAAE;AAC5B,QAAM,YAAYI,cAAWK,MAAAH,QAAO,KAAK,QAAQ,MAApB,gBAAAG,IAAuB,eAAc;AAClE,QAAM,cAAYC,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAuB,aAAY,KAAM,IAAI,IAAIP;AACnE,MAAIG,QAAO,eAAe,aAAa,YAAaJ,eAAcM,YAAUG,MAAAV,MAAK,GAAG,MAAR,gBAAAU,IAAW,UAAQC,MAAAX,MAAK,GAAG,MAAR,gBAAAW,IAAW,OAAM,GAAI;AAClH,IAAAR;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AApCxC,QAAAK,KAAAC,KAAAC;AAqCI,QAAI,EAACX,WAAA,gBAAAA,QAAO,WAAU,CAACA,QAAM,OAAO,CAAC,KAAK,CAACA,QAAM,OAAO,CAAC,EAAE;AAAO;AAClE,UAAMa,MAA4B,CAAC;AACnC,UAAIJ,MAAAH,QAAO,KAAK,QAAQ,MAApB,gBAAAG,IAAwB,WAAU,GAAG;AACvC,YAAM,QAAOC,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAwB;AACrC,YAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,MAAAG,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,IACzG,OAAO;AACL,MAAAa,IAAE,SAAY,GAAM,eAAe,OAAO,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,IACvG;AACA,IAAAa,IAAE,UAAa,GAAIA,IAAE,QAAQ,UAAU,KAAK;AAC5C,UAAM,MAAM,EAAE,KAAK,EAAE;AACrB,SAAIF,MAAAL,QAAO,KAAK,QAAQ,MAApB,gBAAAK,IAAuB;AAAS,MAAAE,IAAE,MAAMb,QAAM,QAAQa,IAAE,OAAO;AACnE,QAAIA,IAAE,KAAK;AACT,YAAM,OAAO,MAAMA,IAAE,IAAI,KAAK;AAC9B,UAAI,MAAM,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,IAAI;AAAA,IACvC;AACA,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAZ,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC5CA,IAAIW;AACJ,IAAMC,QAAkD,CAAC;AACzD,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAGrB,IAAMC,OAAM,CAAC,QAAQ,OAAQ,KAAM;AAEnC,eAAsBC,OAAKC,SAAgB;AAxB3C,MAAAC;AAyBE,MAAI,IAAI;AAAS,IAAAR,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUQ,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAuB,eAAe;AAAA,WACjED,QAAO;AAAO,QAAI,iBAAiBP,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBS,UAAQ,OAAiBF,SAAgB,KAAKG,QAAyD;AA/B7H,MAAAF,KAAAG,KAAAC,KAAAC;AAgCE,MAAI,CAACb;AAAO,WAAO,EAAE,QAAQ,WAAW,aAAa,EAAE;AACvD,QAAM,YAAYI,eAAWI,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAuB,eAAc;AAClE,QAAM,cAAYG,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAuB,aAAY,KAAM,IAAI,IAAIR;AACnE,MAAII,QAAO,eAAe,aAAa,YAAaL,eAAcQ,YAAUE,MAAAX,MAAK,GAAG,MAAR,gBAAAW,IAAW,aAAWC,MAAAZ,MAAK,GAAG,MAAR,gBAAAY,IAAW,eAAc,GAAI;AAC7H,IAAAT;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,YAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAxCxC,QAAAI,KAAAG,KAAAC;AAyCI,QAAI,EAACZ,WAAA,gBAAAA,QAAO,OAAO,GAAG;AAAO;AAC7B,UAAMc,MAA4B,CAAC;AACnC,UAAIN,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAwB,WAAU,GAAG;AACvC,YAAM,QAAOG,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAwB;AACrC,YAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,MAAAG,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACd,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,IACzG,OAAO;AACL,MAAAc,IAAE,SAAY,GAAM,eAAe,OAAO,CAACd,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,IACvG;AACA,IAAAc,IAAE,UAAa,GAAK,MAAM;AAlD9B,UAAAN,KAAAG;AAmDM,UAAII;AACJ,YAAIJ,OAAAH,MAAAR,WAAA,gBAAAA,QAAO,WAAP,gBAAAQ,IAAgB,GAAG,UAAnB,gBAAAG,IAA2B,QAAO,GAAG;AACvC,cAAM,CAAC,KAAK,OAAO,IAAI,IAAO,GAAMG,IAAE,QAAQ,GAAG,CAAC;AAClD,cAAM,UAAa,GAAI,KAAKT,KAAI,CAAC,CAAC;AAClC,cAAM,YAAe,GAAI,OAAOA,KAAI,CAAC,CAAC;AACtC,cAAM,WAAc,GAAI,MAAMA,KAAI,CAAC,CAAC;AACpC,cAAM,YAAe,GAAK,CAAC,SAAS,WAAW,QAAQ,CAAC;AACxD,QAAAU,aAAe,GAAO,GAAI,WAAW,UAAU,IAAI,GAAG,CAAC;AAAA,MACzD,OAAO;AACL,QAAAA,aAAe,GAAO,GAAID,IAAE,QAAQ,UAAU,IAAI,GAAG,CAAC;AAAA,MACxD;AACA,aAAOC;AAAA,IACT,CAAC;AACD,UAAM,MAA+C,EAAE,QAAQ,WAAW,aAAa,EAAE;AACzF,SAAIH,MAAAL,QAAO,KAAK,QAAQ,MAApB,gBAAAK,IAAuB;AAAS,MAAAE,IAAE,SAASd,QAAM,QAAQc,IAAE,OAAO;AACtE,UAAM,OAAO,MAAMA,IAAE,OAAO,KAAK;AACjC,QAAI,SAAS,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,WAAW;AAC5C,QAAI,cAAc,KAAK,CAAC,IAAI,KAAK,CAAC,IAAK,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,MAAQ,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI;AACvG,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAb,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYQ;AACZ,IAAAP,aAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC5DA,IAAIa;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAqC;AArBhE,MAAAC;AAsBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,SAAS;AAAA,WAClED,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAoBA,eAAsBQ,UAAQ,OAAiBF,SAAgB,KAAKG,QAA0B;AA9C9F,MAAAF,KAAAG;AA+CE,MAAI,EAACV,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYI,eAAWG,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,eAAc;AACzE,QAAM,cAAYG,MAAAJ,QAAO,KAAK,eAAe,MAA3B,gBAAAI,IAA8B,aAAY,KAAM,IAAI,IAAIP;AAC1E,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcO,UAAUR,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AAtDxC,QAAAM;AAuDI,QAAI,OAAiB,CAAC;AACtB,UAAIA,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,aAAWP,WAAA,gBAAAA,QAAO,OAAO,GAAG,QAAO;AACnE,YAAMW,MAA4B,CAAC;AACnC,MAAAA,IAAE,OAAU,GAAM,eAAe,OAAO,CAACX,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAInG,MAAAW,IAAE,OAAOX,QAAM,QAAQW,IAAE,IAAI;AAa7B,YAAM,SAAS,MAAMA,IAAE,KAAK,KAAK;AACjC,aAAO,MAAM,KAAK,MAAM;AACxB,aAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAV,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYO;AACZ,IAAAN,aAAW,IAAI;AACf,YAAQ,IAAI;AAAA,EACd,CAAC;AACH;;;ACrEA,IAAIS;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,UAAUM,QAAO,KAAK,aAAa,EAAE,SAAS;AAAA,WAC/DA,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,UAAQ,OAAiBD,SAAgB,KAAKE,QAA0B;AA5B9F,MAAAC,KAAAC;AA6BE,MAAI,EAACV,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYI,eAAWK,MAAAH,QAAO,KAAK,aAAa,MAAzB,gBAAAG,IAA4B,eAAc;AACvE,QAAM,cAAYC,MAAAJ,QAAO,KAAK,aAAa,MAAzB,gBAAAI,IAA4B,aAAY,KAAM,IAAI,IAAIP;AACxE,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcM,UAAUP,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AApCxC,QAAAQ;AAqCI,QAAI,OAAiB,CAAC;AACtB,UAAIA,MAAAH,QAAO,KAAK,aAAa,MAAzB,gBAAAG,IAA4B,aAAWT,WAAA,gBAAAA,QAAO,OAAO,GAAG,QAAO;AACjE,YAAMW,MAA4B,CAAC;AACnC,MAAAA,IAAE,OAAU,GAAM,eAAe,OAAO,CAACX,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAInG,MAAAW,IAAE,OAAOX,QAAM,QAAQW,IAAE,IAAI;AAC7B,YAAM,SAAS,MAAMA,IAAE,KAAK,KAAK;AACjC,aAAO,MAAM,KAAK,MAAM;AACxB,aAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAV,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYM;AACZ,IAAAL,aAAW,IAAI;AACf,YAAQ,IAAI;AAAA,EACd,CAAC;AACH;;;AClDA,IAAM,gBAAgB,CAACS,UAA4D;AACjF,QAAM,UAAU,CAAC,KAAY,QAAe,KAAK,MAAM,IAAI,CAAC,IAAI,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AACvF,MAAI,CAACA,MAAK,YAAY,gBAAgB,CAACA,MAAK,YAAY;AAAa,WAAO,EAAE,SAAS,GAAG,UAAU,EAAE;AAEtG,QAAM,aAAa,CAAC,GAAG,IAAI;AAC3B,QAAM,WAAW;AAEjB,QAAM,QAAQA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,MAAMA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK;AAC7D,QAAM,aAAa,OAAOA,MAAK,KAAK,GAAG,IAAIA,MAAK,KAAK,GAAG;AACxD,QAAM,YAAY,OACd,EAAEA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,CAAC,IACvF,EAAEA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK,CAAC;AAC7F,QAAM,UAAU,OACZ,CAACA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,GAAGA,MAAK,KAAK,EAAE,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,CAAC,IAC1E,CAACA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,GAAGA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,CAAC;AACjF,QAAM,UAAiB;AAAA;AAAA,KACpB,UAAU,CAAC,IAAI,WAAW,CAAC,KAAK,QAAQ,CAAC,IAAI,WAAW,CAAC;AAAA,IAC1D,YAAY,WAAW,CAAC,IAAI,UAAU,CAAC,KAAK,QAAQ,CAAC,IAAI,WAAW,CAAC;AAAA,EACvE;AACA,MAAI,WAAW,KAAK,KAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,IAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,CAAE;AAC9E,aAAW,KAAK,IAAI,UAAUA,MAAK,OAAO,CAAC,IAAI,GAAGA,MAAK,OAAO,CAAC,IAAI,CAAC;AACpE,QAAM,WAAW,QAAQ,CAAC,GAAG,CAAC,GAAG,OAAO,IAAK,KAAK,KAAK,KAAM,KAAK;AAClE,SAAO,EAAE,SAAS,SAAS;AAC7B;AAEO,IAAM,qBAAqB,CAACA,OAAkB,cAIhD;AAEH,QAAMC,aAAY,CAACC,QAAsB;AACvC,UAAM,SAAS,KAAK,KAAKA,IAAE,CAAC,IAAIA,IAAE,CAAC,IAAIA,IAAE,CAAC,IAAIA,IAAE,CAAC,IAAIA,IAAE,CAAC,IAAIA,IAAE,CAAC,CAAC;AAChE,IAAAA,IAAE,CAAC,KAAK;AACR,IAAAA,IAAE,CAAC,KAAK;AACR,IAAAA,IAAE,CAAC,KAAK;AACR,WAAOA;AAAA,EACT;AACA,QAAM,aAAa,CAAC,GAAW,MAAsB;AACnD,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,UAAMC,KAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,WAAO,CAAC,GAAGA,IAAG,CAAC;AAAA,EACjB;AACA,QAAM,eAAe,CAAC,GAAW,MAAsB;AACrD,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,UAAMA,KAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,WAAO,CAAC,GAAGA,IAAG,CAAC;AAAA,EACjB;AAEA,QAAM,6BAA6B,CAAC,MAA8D;AAChG,UAAM,CAAC,KAAK,MAAM,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,IAAI;AACxD,QAAI;AACJ,QAAI;AACJ,QAAI;AACJ,QAAI,MAAM,GAAG;AACX,UAAI,MAAM,IAAI;AACZ,iBAAS,KAAK,KAAK,GAAG;AACtB,iBAAS,KAAK,MAAM,CAAC,KAAK,GAAG;AAC7B,iBAAS,KAAK,MAAM,CAAC,KAAK,GAAG;AAAA,MAC/B,OAAO;AACL,iBAAS,CAAC,KAAK,KAAK;AACpB,iBAAS,CAAC,KAAK,MAAM,KAAK,GAAG;AAC7B,iBAAS;AAAA,MACX;AAAA,IACF,OAAO;AACL,eAAS,KAAK,KAAK;AACnB,eAAS,KAAK,MAAM,KAAK,GAAG;AAC5B,eAAS;AAAA,IACX;AACA,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,WAAO,EAAE,OAAO,IAAI,CAAC,QAAQ,KAAK,IAAI,CAAC,QAAQ,MAAM,IAAI,CAAC,OAAO;AAAA,EACnE;AAcA,QAAM,OAAOH,MAAK;AAClB,MAAI,CAAC,QAAQ,KAAK,SAAS;AAAK,WAAO,EAAE,OAAO,EAAE,OAAO,GAAG,KAAK,GAAG,MAAM,EAAE,GAAG,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,GAAG,MAAM,EAAE,SAAS,GAAG,UAAU,EAAE,EAAE;AAEtJ,QAAMI,QAAO,KAAK,IAAIJ,MAAK,OAAO,CAAC,IAAI,UAAU,CAAC,GAAGA,MAAK,OAAO,CAAC,IAAI,UAAU,CAAC,CAAC,IAAI;AAEtF,QAAM,MAAe,CAAC,KAAK,EAAE,GAAG,KAAK,GAAG,GAAG,KAAK,GAAG,GAAG,KAAK,GAAG,CAAC,EAAE,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,IAAI,UAAU,CAAC,IAAII,OAAM,GAAG,CAAC,IAAI,UAAU,CAAC,IAAIA,OAAM,GAAG,CAAC,CAAC,CAAU;AAEvJ,QAAM,QAAQH,WAAU,WAAW,IAAI,CAAC,GAAa,IAAI,CAAC,CAAW,CAAC;AACtE,MAAI,QAAQA,WAAU,WAAW,IAAI,CAAC,GAAa,IAAI,CAAC,CAAW,CAAC;AACpE,QAAM,QAAQA,WAAU,aAAa,OAAO,KAAK,CAAC;AAElD,UAAQ,aAAa,OAAO,KAAK;AAIjC,QAAM,SAAmF;AAAA,IACvF,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAC3B,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAC3B,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,EAC7B;AACA,QAAM,QAAQ,2BAA2B,MAAM;AAI/C,QAAM,OAAO,KAAK,WAAW,MAAM,cAAcD,KAAI,IAAI,EAAE,SAAS,GAAG,UAAU,EAAE;AAEnF,SAAO,EAAE,OAAO,QAAQ,KAAK;AAC/B;;;ACtHO,SAAS,wBAAwBK,OAAkB,OAAuB;AAG/E,QAAM,IAAIA,SAAA,gBAAAA,MAAM;AAChB,MAAI,EAAC,uBAAG,gBAAe,EAAC,uBAAG;AAAc,WAAO;AAEhD,QAAM,WAAW,KAAK,IAAI,KAAK,IAAI,EAAE,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,CAAC,EAAE,CAAC,CAAC,GAAG,KAAK,IAAI,EAAE,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,aAAa,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI;AAExI,QAAM,iBAAiB,KAAK,MAAM,OAAO,QAAQ,IAAI;AACrD,SAAO;AACT;;;ACeO,IAAM,aAAa,OAAO,UAAyC,UAA2C;AA3BrH,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC;AA6BE,MAAI,YAAoB,IAAI;AAC5B,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AAEJ,QAAM,UAAwB,CAAC;AAC/B,WAAS,QAAQ;AACjB,QAAM,QAAsB,MAAeC,SAAQ,OAAO,SAAS,MAAM;AACzE,WAAS,YAAY,OAAO,IAAI,WAAW,SAAS,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACzI,MAAI,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW;AAAG,WAAO,CAAC;AACtD,MAAI,CAAC;AAAO,WAAO,CAAC;AAEpB,WAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,aAAS,QAAQ,UAAU;AAI3B,QAAI,CAAC,MAAM,CAAC,EAAE,UAAU,MAAM,CAAC,EAAE,OAAO,oBAAoB;AAC1D,UAAI,4BAA4B,MAAM,CAAC,EAAE,MAAM;AAC/C;AAAA,IACF;AAGA,SAAIpB,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,MAAM;AACvC,YAAM,SAAS,MAAW,KAAK,MAAM,CAAC,CAAC;AACvC,MAAG,GAAQ,MAAM,CAAC,EAAE,MAAM;AAC1B,UAAI;AAAQ,cAAM,CAAC,EAAE,SAAS;AAAA,IAChC;AAGA,UAAM,WAAW,MAAM,CAAC,EAAE,QAAS,MAAM,CAAC,EAAE,KAAK,SAAS,MAAO,mBAAmB,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI;AAGlI,aAAS,QAAQ,gBAAgB;AACjC,QAAI,SAAS,OAAO,OAAO;AACzB,qBAAaC,MAAA,SAAS,OAAO,KAAK,YAArB,gBAAAA,IAA8B,WAAkBmB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI,CAAC;AAAA,IAC1J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,qBAAalB,MAAA,SAAS,OAAO,KAAK,YAArB,gBAAAA,IAA8B,WAAU,MAAckB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI,CAAC;AAC9J,eAAS,YAAY,UAAU,IAAI,WAAW,SAAS,YAAY,WAAW,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACjJ;AACA,aAAS,QAAQ,cAAc;AAG/B,aAAS,QAAQ,kBAAkB;AACnC,QAAI,SAAS,OAAO,OAAO;AACzB,uBAAejB,MAAA,SAAS,OAAO,KAAK,cAArB,gBAAAA,IAAgC,WAAoBiB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC/J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,uBAAe,cAAS,OAAO,KAAK,cAArB,mBAAgC,WAAU,MAAgBA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACnK,eAAS,YAAY,YAAY,IAAI,WAAW,SAAS,YAAY,aAAa,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACrJ;AACA,aAAS,QAAQ,gBAAgB;AAGjC,aAAS,QAAQ,iBAAiB;AAClC,QAAI,SAAS,OAAO,OAAO;AACzB,sBAAchB,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,WAAmBgB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC5J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,sBAAcf,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,WAAU,MAAee,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAChK,eAAS,YAAY,WAAW,IAAI,WAAW,SAAS,YAAY,aAAa,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACpJ;AACA,aAAS,QAAQ,eAAe;AAGhC,aAAS,QAAQ,aAAa;AAC9B,QAAI,SAAS,OAAO,OAAO;AACzB,kBAAUd,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAec,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAChJ,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,kBAAUb,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAU,MAAWa,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACpJ,eAAS,YAAY,OAAO,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IAC1D;AACA,aAAS,QAAQ,WAAW;AAG5B,aAAS,QAAQ,eAAe;AAChC,QAAI,SAAS,OAAO,OAAO;AACzB,iBAASZ,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAoBY,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACvJ,oBAAY,cAAS,OAAO,KAAK,QAAQ,MAA7B,mBAAgC,WAAuBA,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC/J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,iBAASX,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAU,MAAgBW,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAC7J,oBAAYV,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAU,MAAmBU,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACnK,eAAS,YAAY,SAAS,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IAC5D;AACA,aAAS,QAAQ,aAAa;AAG9B,aAAS,QAAQ,sBAAsB;AACvC,QAAI,SAAS,OAAO,OAAO;AACzB,2BAAmBT,MAAA,SAAS,OAAO,KAAK,eAAe,MAApC,gBAAAA,IAAuC,WAAwBS,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC9K,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,2BAAmBR,MAAA,SAAS,OAAO,KAAK,eAAe,MAApC,gBAAAA,IAAuC,WAAU,MAAoBQ,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAClL,eAAS,YAAY,gBAAgB,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACnE;AACA,aAAS,QAAQ,oBAAoB;AAGrC,aAAS,QAAQ,oBAAoB;AACrC,QAAI,SAAS,OAAO,OAAO;AACzB,yBAAiBP,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,WAAsBO,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IACxK,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,yBAAiBN,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,WAAU,MAAkBM,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAC5K,eAAS,YAAY,gBAAgB,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACnE;AACA,aAAS,QAAQ,kBAAkB;AAGnC,aAAS,QAAQ,oBAAoB;AACrC,QAAI,SAAS,OAAO,OAAO;AACzB,gBAAkBA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM;AAAA,IAC1G,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,gBAAU,MAAcA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM;AAC9G,eAAS,YAAY,cAAc,IAAI,WAAW,SAAS,YAAY,eAAe,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACzJ;AACA,aAAS,QAAQ,kBAAkB;AAGnC,QAAI,SAAS,OAAO,OAAO;AACzB,OAAC,QAAQ,WAAW,YAAY,kBAAkB,gBAAgB,SAAS,SAAS,cAAc,WAAW,IAAI,MAAM,QAAQ,IAAI,CAAC,QAAQ,WAAW,YAAY,kBAAkB,gBAAgB,SAAS,SAAS,cAAc,WAAW,CAAC;AAAA,IACnP;AACA,aAAS,QAAQ,cAAc;AAE/B,UAAIL,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,YAAW,UAAU,WAAW;AAClE,gBAAU;AAAA,QACR,GAAI;AAAA,QACJ,KAAM,OAA0B;AAAA,QAChC,QAAS,UAAsD;AAAA,QAC/D,aAAc,UAAsD;AAAA,MACtE;AAAA,IACF;AACA,UAAIC,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,YAAW,SAAS;AACjD,gBAAU;AAAA,QACR,GAAI;AAAA,QACJ,KAAM,QAA0B;AAAA,QAChC,QAAS,QAA0B;AAAA,QACnC,aAAc,QAA0B;AAAA,QACxC,MAAO,QAA0B;AAAA,MACnC;AAAA,IACF;AACA,UAAI,cAAS,OAAO,KAAK,eAAe,MAApC,mBAAuC,YAAW,kBAAkB;AACtE,MAAC,QAAoB,aAAa;AAAA,IACpC;AAEA,UAAIC,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,YAAW,gBAAgB;AAClE,MAAC,QAAoB,aAAa;AAAA,IACpC;AAEA,UAAM,aAAWC,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAU,wBAAwB,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,IAAI;AAG1G,UAAM,WAASC,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,UAAY,GAAQ,MAAM,CAAC,EAAE,MAAkB,IAAI;AAEjG,IAAG,GAAQ,MAAM,CAAC,EAAE,MAAM;AAE1B,QAAI,MAAM,CAAC,EAAE;AAAQ,aAAO,MAAM,CAAC,EAAE;AAErC,UAAM,MAAkB;AAAA,MACtB,GAAG,MAAM,CAAC;AAAA,MACV,IAAI;AAAA,IACN;AACA,QAAK,QAAoB;AAAK,UAAI,MAAO,QAAoB;AAC7D,QAAK,QAAoB;AAAQ,UAAI,SAAU,QAAoB;AACnE,QAAK,QAAoB;AAAa,UAAI,cAAe,QAAoB;AAC7E,QAAK,QAAoB;AAAY,UAAI,YAAa,QAAoB;AAC1E,QAAK,QAAoB;AAAM,UAAI,OAAQ,QAAoB;AAC/D,QAAI;AAAY,UAAI,UAAU;AAC9B,QAAI;AAAc,UAAI,OAAO;AAC7B,QAAI;AAAa,UAAI,OAAO;AAC5B,QAAI,WAAW;AAAG,UAAI,WAAW;AACjC,QAAI;AAAU,UAAI,WAAW;AAC7B,QAAI;AAAQ,UAAI,SAAS;AACzB,YAAQ,KAAK,GAAG;AAChB,aAAS,QAAQ,UAAU;AAAA,EAC7B;AACA,WAAS,QAAQ,eAAe;AAChC,MAAI,SAAS,OAAO,OAAO;AACzB,QAAI,SAAS,YAAY;AAAM,aAAO,SAAS,YAAY;AAC3D,QAAI,SAAS,YAAY;AAAK,aAAO,SAAS,YAAY;AAC1D,QAAI,SAAS,YAAY;AAAQ,aAAO,SAAS,YAAY;AAC7D,QAAI,SAAS,YAAY;AAAS,aAAO,SAAS,YAAY;AAAA,EAChE;AACA,SAAO;AACT;;;AClOO,IAAM,SAAS;AAAA,EACpB,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,MAAM;AAAA,EACN,OAAO;AAAA,EACP,KAAK,CAAC,GAAG,GAAG,GAAG,GAAG,CAAC;AAAA;AAAA,EACnB,aAAa,EAAE,GAAG,SAAS,GAAG,SAAS,GAAG,UAAU,GAAG,QAAQ,GAAG,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ1E,eAAe;AAAA,IACb,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAAA,IAClC,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAAA,IAClC,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,IACvC,GAAG,CAAC,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,IACzC,GAAG,CAAC,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,EAC3C;AAAA,EACA,SAAS,CAAC,UAAU,OAAO,YAAY,KAAK;AAAA,EAC5C,WAAW,CAAC,UAAU,OAAO,cAAc,KAAK;AAClD;AAEO,IAAM,aAAa;AAAA,EACxB,MAAM;AAAA,EACN,MAAM;AAAA,EACN,MAAM;AAAA,EACN,aAAa,EAAE,GAAG,QAAQ,GAAG,QAAQ,GAAG,OAAO;AAAA,EAC/C,SAAS,CAAC,UAAU,WAAW,YAAY,KAAK;AAClD;AAEO,IAAM,kBAAkB;AAAA,EAC7B,YAAY;AAAA,EACZ,cAAc;AAAA,EACd,gBAAgB;AAAA,EAChB,iBAAiB;AAAA,EACjB,iBAAiB;AAAA,EACjB,gBAAgB;AAAA,EAChB,mBAAmB;AAAA,EACnB,kBAAkB;AAAA,EAClB,aAAa,EAAE,GAAG,cAAc,GAAG,gBAAgB,GAAG,kBAAkB,GAAG,mBAAmB,GAAG,mBAAmB,GAAG,kBAAkB,GAAG,qBAAqB,GAAG,mBAAmB;AAAA,EACvL,SAAS,CAAC,UAAU,gBAAgB,YAAY,KAAK;AACvD;AAEO,IAAM,gBAAN,MAAoB;AAAA,EAOzB,YAAY,MAAM;AANlB;AACA;AACA;AACA;AACA;AAIE,SAAK,OAAO;AACZ,SAAK,QAAQ,CAAC;AACd,SAAK,aAAa,CAAC;AACnB,SAAK,UAAU,CAAC,GAAK,GAAK,GAAK,GAAK,CAAG;AACvC,SAAK,kBAAkB,CAAC,GAAK,GAAK,GAAK,GAAK,CAAG;AAAA,EACjD;AAAA,EAEA,KAAK,QAAQ,MAAM,YAAY;AAC7B,QAAI,OAAO,KAAK,MAAM,MAAM,MAAM;AAAa,WAAK,MAAM,MAAM,IAAI,CAAC;AACrE,SAAK,MAAM,MAAM,EAAE,KAAK,CAAC,MAAM,UAAU,CAAC;AAAA,EAC5C;AAAA,EAEA,UAAU,QAAQ,UAAU,YAAY;AACtC,QAAI,CAAC,KAAK,WAAW,MAAM;AAAG,WAAK,WAAW,MAAM,IAAI,CAAC;AACzD,SAAK,WAAW,MAAM,EAAE,KAAK,CAAC,UAAU,UAAU,CAAC;AAAA,EACrD;AAAA,EAEA,OAAO,QAAQ,QAAQ;AACrB,SAAK,QAAQ,MAAM,IAAI;AAEvB,UAAM,QAAQ,KAAK,QAAQ,OAAO,CAAC,GAAG,MAAM,IAAI,GAAG,CAAC;AACpD,SAAK,kBAAkB,KAAK,QAAQ,IAAI,CAACE,QAAOA,MAAK,IAAI,KAAK;AAAA,EAChE;AAAA,EAEA,aAAa,eAAe,oBAAoB;AAC9C,QAAI,aAAa;AAGjB,eAAW,aAAa,eAAe;AACrC,YAAM,eAAe,cAAc,SAAS;AAC5C,YAAM,gBAAgB,KAAK,MAAM,SAAS;AAC1C,UAAI,OAAO,kBAAkB,aAAa;AAGxC,sBAAc,KAAK,gBAAgB,SAAS;AAC5C;AAAA,MACF;AAEA,iBAAW,CAAC,cAAc,KAAK,KAAK,eAAe;AACjD,YAAI,iBAAiB,cAAc;AACjC,wBAAc,QAAQ,KAAK,gBAAgB,SAAS;AACpD;AAAA,QACF;AAAA,MACF;AAAA,IACF;AAEA,eAAW,aAAa,oBAAoB;AAC1C,YAAM,oBAAoB,mBAAmB,SAAS;AACtD,YAAM,qBAAqB,KAAK,WAAW,SAAS;AACpD,UAAI,OAAO,uBAAuB,aAAa;AAG7C,sBAAc,KAAK,gBAAgB,SAAS;AAC5C;AAAA,MACF;AAEA,iBAAW,CAAC,mBAAmB,KAAK,KAAK,oBAAoB;AAC3D,YAAI,sBAAsB,mBAAmB;AAC3C,wBAAc,QAAQ,KAAK,gBAAgB,SAAS;AACpD;AAAA,QACF;AAAA,MACF;AAAA,IACF;AACA,WAAO,aAAa;AAAA,EACtB;AACF;;;ACvHO,IAAM,EAAE,OAAO,OAAO,QAAQ,MAAM,MAAM,IAAI;AAC9C,IAAM,EAAE,MAAM,MAAM,KAAK,IAAI;AAC7B,IAAM,EAAE,YAAY,cAAc,gBAAgB,iBAAiB,iBAAiB,gBAAgB,mBAAmB,iBAAiB,IAAI;AAGnJ,IAAM,WAAW,IAAI,cAAc,WAAW;AAC9C,SAAS,KAAK,OAAO,MAAM,CAAG;AAC9B,SAAS,UAAU,OAAO,YAAY,CAAG;AACzC,SAAS,UAAU,OAAO,gBAAgB,IAAI;AAC9C,SAAS,UAAU,OAAO,iBAAiB,IAAI;AAC/C,WAAW,UAAU,CAAC,OAAO,OAAO,OAAO,QAAQ,OAAO,MAAM,OAAO,KAAK,GAAG;AAC7E,WAAS,KAAK,QAAQ,MAAM,CAAG;AAC/B,WAAS,UAAU,QAAQ,gBAAgB,CAAG;AAC9C,WAAS,UAAU,QAAQ,iBAAiB,CAAG;AACjD;AAGA,IAAM,UAAU,IAAI,cAAc,SAAS;AAC3C,QAAQ,KAAK,OAAO,MAAM,GAAG;AAC7B,QAAQ,KAAK,OAAO,MAAM,GAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,CAAG;AACxC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,KAAK,OAAO,MAAM,CAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,IAAI;AACzC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,KAAK,QAAQ,MAAM,CAAG;AAC9B,QAAQ,UAAU,QAAQ,YAAY,CAAG;AACzC,QAAQ,UAAU,QAAQ,gBAAgB,IAAI;AAC9C,QAAQ,KAAK,MAAM,MAAM,CAAG;AAC5B,QAAQ,UAAU,MAAM,YAAY,GAAG;AACvC,QAAQ,UAAU,MAAM,gBAAgB,CAAG;AAC3C,QAAQ,UAAU,MAAM,gBAAgB,GAAG;AAC3C,QAAQ,KAAK,OAAO,MAAM,CAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,GAAG;AACxC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,UAAU,OAAO,gBAAgB,GAAG;AAC5C,QAAQ,OAAO,OAAO,CAAC;AACvB,QAAQ,OAAO,QAAQ,CAAC;AAGxB,IAAM,QAAQ,IAAI,cAAc,OAAO;AACvC,MAAM,KAAK,OAAO,MAAM,CAAG;AAC3B,MAAM,KAAK,OAAO,MAAM,GAAG;AAC3B,MAAM,KAAK,QAAQ,MAAM,GAAG;AAC5B,MAAM,KAAK,MAAM,MAAM,GAAG;AAC1B,MAAM,KAAK,OAAO,MAAM,GAAG;AAC3B,MAAM,OAAO,OAAO,CAAC;AACrB,MAAM,OAAO,QAAQ,CAAC;AAGtB,IAAM,eAAe,IAAI,cAAc,eAAe;AACtD,aAAa,KAAK,OAAO,MAAM,CAAG;AAClC,aAAa,KAAK,OAAO,MAAM,GAAG;AAClC,aAAa,KAAK,QAAQ,MAAM,GAAG;AACnC,aAAa,KAAK,MAAM,MAAM,GAAG;AACjC,aAAa,KAAK,OAAO,MAAM,GAAG;AAClC,aAAa,OAAO,OAAO,CAAC;AAC5B,aAAa,OAAO,QAAQ,CAAC;AAG7B,IAAM,WAAW,IAAI,cAAc,WAAW;AAC9C,SAAS,KAAK,OAAO,MAAM,IAAI;AAC/B,SAAS,KAAK,OAAO,MAAM,IAAI;AAC/B,SAAS,KAAK,QAAQ,MAAM,IAAI;AAChC,SAAS,KAAK,MAAM,MAAM,IAAI;AAC9B,SAAS,KAAK,OAAO,MAAM,IAAI;AAE/B,IAAO,wBAAQ,CAAC,UAAU,SAAS,OAAO,cAAc,QAAQ;;;AC/DhE,IAAM,gBAAgB;AACtB,IAAMC,WAAU;AAAA;AAAA,EAEd,uBAAuB;AAAA,EACvB,qBAAqB;AAAA;AAAA,EAErB,qBAAqB;AAAA,EACrB,yBAAyB;AAAA,EACzB,wBAAwB;AAC1B;AAEA,SAAS,eAAe,SAAS,SAAS,SAAS,SAAS;AAC1D,QAAM,SAAS,UAAU,YAAY,UAAU;AAC/C,MAAI,QAAQ,KAAK,KAAK,KAAK,IAAI,MAAM,KAAK;AAC1C,MAAI,SAAS;AAAG,YAAQ,CAAC;AAAA,WAChB,QAAQ;AAAG,YAAQ,MAAM;AAClC,SAAO;AACT;AAIA,SAAS,UAAU,QAAQ,QAAQ;AACjC,MAAI,CAAC,UAAU,CAAC;AAAQ,WAAO,CAAC,GAAG,CAAC;AACpC,QAAM,UAAU,eAAe,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACzE,MAAI,OAAO,WAAW;AAAG,WAAO;AAChC,QAAM,UAAU,eAAe,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACzE,SAAO,CAAC,SAAS,OAAO;AAC1B;AAEA,SAAS,mBAAmB,OAAO,cAAc,GAAK;AACpD,MAAI,aAAa;AACjB,MAAI,aAAa;AACjB,MAAI,eAAe;AACnB,MAAI,SAAS,MAAQ,SAAS;AAAO,iBAAa,IAAI;AAAA,WAC7C,SAAS,MAAQ,SAAS;AAAO,iBAAa,IAAI;AAAA;AACtD,mBAAe,IAAI;AACxB,SAAO,CAAC,YAAY,YAAY,YAAY;AAC9C;AAEA,SAAS,mBAAmB,YAAY,UAAU,UAAU;AAC1D,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAChJ,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAChJ,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,iBAAiB,iBAAiB,cAAc;AAClI,MAAI,UAAU,eAAe,eAAe,iBAAiB,iBAAiB,iBAAiB,mBAAmB,IAAI,eAAe;AACrI,MAAI,SAAS;AAAK,aAAS;AAAA,WAClB,SAAS;AAAM,aAAS;AACjC,MAAI,eAAe,KAAK,KAAK,MAAM;AACnC,iBAAgB,UAAU,eAAgB;AAC1C,MAAI;AACJ,MAAI,eAAeA,SAAQ;AAAqB,iBAAa,WAAW;AAAA,WAC/D,eAAeA,SAAQ;AAAuB,iBAAa,WAAW;AAAA;AAC1E,iBAAa,WAAW;AAC7B,SAAO;AACT;AAEA,SAAS,4BAA4B,kBAAkB,kBAAkB,gBAAgB,YAAY;AACnG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,gBAAgB,GAAG;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,WAAW,eAAe,KAAK,IAAI,gBAAgB,GAAG;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,gBAAgB,GAAG;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,WAAW,eAAe,KAAK,IAAI,gBAAgB,GAAG;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjK,MAAI;AACJ,QAAM,0BAA0B,0BAA0B,kBAAkB,kBAAkB,gBAAgB,UAAU;AACxH,QAAM,4BAA4B,4BAA4B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAC5H,MAAI,4BAA4B,gBAAgB,YAAY;AAC1D,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,yBAAyB,YAAY,UAAU,UAAU,cAAc;AAC9E,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,cAAc,CAAC;AAC5G,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,cAAc,CAAC;AAC5G,MAAI,eAAe;AACnB,MAAI,eAAe;AACnB,MAAI,iBAAiB;AACrB,QAAM,2BAA2B,cAAc,aAAa;AAC5D,MAAI,2BAA2B;AAAK,oBAAgBA,SAAQ;AAAA,WACnD,2BAA2B;AAAM,oBAAgBA,SAAQ;AAAA;AAC7D,sBAAkBA,SAAQ;AAC/B,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAC1G,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAC1G,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,cAAc;AAChG,QAAM,WAAW,KAAK,IAAI,gBAAgB,gBAAgB,YAAY;AACtE,MAAI,qBAAqB,WAAW,CAAC;AACrC,MAAI,qBAAqB,WAAW,CAAC;AACrC,MAAI,mBAAmB,SAAS,CAAC;AACjC,MAAI,mBAAmB,SAAS,CAAC;AACjC,MAAI,aAAa,gBAAgB;AAC/B,uBAAmB,SAAS,CAAC;AAC7B,uBAAmB,SAAS,CAAC;AAAA,EAC/B,WAAW,aAAa,cAAc;AACpC,yBAAqB,SAAS,CAAC;AAC/B,yBAAqB,SAAS,CAAC;AAAA,EACjC;AACA,QAAM,iBAAiB,CAAC,oBAAoB,kBAAkB;AAC9D,QAAM,eAAe,CAAC,kBAAkB,gBAAgB;AACxD,QAAM,aAAa,UAAU,gBAAgB,YAAY;AACzD,QAAM,QAAQ,mBAAmB,YAAYA,SAAQ,sBAAsB;AAC3E,kBAAgB,MAAM,CAAC;AACvB,kBAAgB,MAAM,CAAC;AACvB,oBAAkB,MAAM,CAAC;AACzB,aAAW,eAAe,cAAc;AACtC,UAAM,cAAc,mBAAmB,aAAaA,SAAQ,uBAAuB;AACnF,oBAAgB,YAAY,CAAC;AAC7B,oBAAgB,YAAY,CAAC;AAC7B,sBAAkB,YAAY,CAAC;AAAA,EACjC;AAGA,MAAI;AACJ,MAAI,iBAAiB,KAAK,IAAI,cAAc,cAAc,cAAc,GAAG;AACzE,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EAC/G,WAAW,mBAAmB,KAAK,IAAI,cAAc,cAAc,GAAG;AACpE,yBAAqB,4BAA4B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EACjH,OAAO;AACL,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EAC/K;AACA,SAAO;AACT;AAEA,SAAS,SAAS,WAAW;AAE3B,QAAM,WAAuB,CAAC;AAC9B,QAAM,WAAuB,CAAC;AAC9B,QAAM,cAAwB,CAAC;AAC/B,QAAM,mBAA6B,CAAC;AACpC,MAAI,CAAC;AAAW,WAAO,EAAE,OAAO,aAAa,YAAY,iBAAiB;AAG1E,aAAW,UAAU,OAAO,KAAK;AAC/B,UAAM,SAAS,OAAO,UAAU,MAAM;AACtC,UAAM,YAAsB,CAAC;AAC7B,UAAM,YAAsB,CAAC;AAC7B,eAAWC,UAAS,QAAQ;AAC1B,YAAM,SAAS,UAAUA,OAAM,CAAC,CAAC;AACjC,YAAMC,UAAS,UAAUD,OAAM,CAAC,CAAC;AAEjC,YAAM,SAAS,UAAU,QAAQC,OAAM;AACvC,YAAM,UAAU,OAAO,CAAC;AACxB,YAAM,UAAU,OAAO,CAAC;AACxB,gBAAU,KAAK,OAAO;AACtB,gBAAU,KAAK,OAAO;AAAA,IACxB;AACA,aAAS,KAAK,SAAS;AACvB,aAAS,KAAK,SAAS;AAAA,EACzB;AAGA,aAAW,UAAU,OAAO,KAAK;AAE/B,UAAM,eAAgB,WAAW,OAAO,QAAS,IAAI;AACrD,UAAM,iBAAiB,OAAO,UAAU,MAAM;AAC9C,UAAM,aAAa,UAAU,eAAe,YAAY,EAAE,CAAC,CAAC;AAC5D,UAAM,WAAW,UAAU,eAAe,eAAe,CAAC,EAAE,CAAC,CAAC;AAC9D,UAAM,WAAW,UAAU,eAAe,CAAC,EAAE,CAAC,CAAC;AAE/C,UAAM,eAAe,mBAAmB,YAAY,UAAU,QAAQ;AACtE,UAAM,iBAAiB,yBAAyB,YAAY,UAAU,UAAU,SAAS,MAAM,EAAE,MAAM,YAAY,CAAC;AACpH,gBAAY,MAAM,IAAI;AACtB,qBAAiB,MAAM,IAAI;AAAA,EAC7B;AACA,SAAO,EAAE,OAAO,aAAa,YAAY,iBAAiB;AAC5D;AAEO,SAAS,QAAQ,WAAW;AACjC,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS,SAAS;AACvC,QAAM,YAAY,CAAC;AACnB,aAAW,aAAa,OAAO,KAAK;AAClC,cAAU,OAAO,QAAQ,SAAS,CAAC,IAAI;AAAA,MACrC,MAAM,WAAW,QAAQ,aAAa,MAAM,SAAS,CAAC;AAAA,MACtD,WAAW,gBAAgB,QAAQ,aAAa,WAAW,SAAS,CAAC;AAAA,IACvE;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAAS,MAAM,WAAW;AAC/B,QAAM,QAAgD,CAAC;AACvD,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS,SAAS;AACvC,aAAWC,YAAW,uBAAU;AAC9B,UAAM,aAAaA,SAAQ,aAAa,aAAa,OAAO,aAAa,UAAU;AACnF,QAAI,cAAc;AAAe,YAAM,KAAK,EAAE,MAAMA,SAAQ,MAAM,WAAW,CAAC;AAAA,EAChF;AACA,SAAO;AACT;;;ACjNO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AAEnC,UAAM,YAAY,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,WAAY;AACvE,UAAM,aAAa,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,YAAa;AACzE,UAAM,OAAO,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,MAAO;AAC7D,QAAI,QAAQ,aAAa,cAAe,UAAU,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC,KAAO,WAAW,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,YAAY,CAAC;AAAA,aACxK,QAAQ,aAAc,UAAU,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,kBAAkB,CAAC;AAAA,aACtH,QAAQ,cAAe,WAAW,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,mBAAmB,CAAC;AAGlI,UAAM,eAAe,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,cAAe;AAC7E,UAAM,gBAAgB,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,eAAgB;AAC/E,QAAI,gBAAgB,iBAAiB,KAAK,IAAI,aAAa,YAAY,CAAC,IAAI,cAAc,YAAY,CAAC,CAAC,IAAI,KAAK;AAC/G,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,WAAY,aAAa,SAAS,CAAC,IAAI,cAAc,SAAS,CAAC,IAAK,SAAS,UAAU,CAAC;AAAA,IAC5H;AAAA,EACF;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,IAAI,CAAC,EAAE,QAAQ,IAAI,CAAC,EAAE,KAAK,SAAS,KAAK;AAC3C,YAAM,SAAS,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,KAAK,MAAM,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,KAAK;AAClE,YAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC;AACrD,UAAI,KAAK,IAAI,QAAQ,KAAK,KAAK;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA;AACnF,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,UAAU,QAAQ,IAAI,SAAS,UAAU,CAAC;AACjF,YAAM,WAAW,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC;AACzH,UAAI,WAAW;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,iBAAiB,CAAC;AACxE,YAAM,YAAY,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC;AAC1H,UAAI,YAAY;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,kBAAkB,CAAC;AAC1E,YAAM,YAAY,KAAK,IAAI,KAAK,MAAM,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,CAAC;AAC5I,UAAI,YAAY;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,SAAS,KAAK,MAAM,SAAS,UAAU,CAAC;AAC9F,YAAM,YAAY,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,KAAK;AACzC,UAAI,KAAK,IAAI,SAAS,IAAI;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,QAAQ,YAAY,IAAI,OAAO,SAAS,CAAC;AAAA,IAC3G;AAAA,EACF;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AA7E5D,MAAAC,KAAAC,KAAAC,KAAAC;AA8EE,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,GAACF,OAAAD,MAAA,IAAI,CAAC,EAAE,gBAAP,gBAAAA,IAAoB,gBAApB,gBAAAC,IAAkC,OAAM,GAACE,OAAAD,MAAA,IAAI,CAAC,EAAE,gBAAP,gBAAAA,IAAoB,iBAApB,gBAAAC,IAAmC;AAAI;AACrF,UAAM,YAAY,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC;AAC5F,UAAM,YAAY,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC;AAC5F,UAAM,WAAW,KAAK,IAAI,YAAY,SAAS;AAE/C,UAAM,aAAa,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC;AAC/F,UAAM,aAAa,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC;AAC/F,UAAM,YAAY,KAAK,IAAI,aAAa,UAAU;AAElD,QAAI,SAAS;AACb,UAAM,aAAa,KAAK,IAAI,WAAW,SAAS,IAAI,KAAK,IAAI,UAAU,SAAS;AAChF,QAAI,aAAa,MAAM;AACrB,eAAS;AACT,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA,IACrD;AAEA,UAAM,kBAAkB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC3G,UAAM,mBAAmB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC5G,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS;AAChE,QAAI,kBAAkB,kBAAkB;AACtC,UAAI,kBAAkB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA,IACjF,OAAO;AACL,UAAI,mBAAmB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,eAAe,CAAC;AAAA,IACjF;AAEA,UAAM,mBAAmB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC7G,UAAM,kBAAkB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC3G,QAAI,kBAAkB,QAAQ,mBAAmB,QAAQ,kBAAkB,SAAS,mBAAmB;AAAO,eAAS;AACvH,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,eAAe,CAAC;AACzG,QAAI,kBAAkB,SAAS,mBAAmB;AAAO,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,aAAa,CAAC;AAGzG,QAAI;AAAQ,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,iBAAiB,CAAC;AAAA,EAClE;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,UAA+C,CAAC;AACtD,QAAI,IAAI,CAAC,EAAE,aAAa;AACtB,iBAAW,CAAC,QAAQ,GAAG,KAAK,OAAO,QAAQ,IAAI,CAAC,EAAE,WAAW,GAAG;AAC9D,YAAI,WAAW,cAAc,MAAM,QAAQ,GAAG,KAAK,IAAI,CAAC;AAAG,kBAAQ,KAAK,EAAE,MAAM,OAAO,YAAY,GAAG,UAAU,IAAI,CAAC,EAAE,CAAC;AAAA,MAC1H;AAAA,IACF;AACA,QAAI,WAAW,QAAQ,SAAS,GAAG;AACjC,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,OAAQ,KAAK,SAAS,CAAC,KAAK,MAAM,EAAE,SAAS,CAAC,KAAK,KAAK,OAAO,CAAE;AACvG,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ,eAA8B,CAAC;AAC5E,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,CAAC,IAAI,EAAE,SAAS,CAAC,IAAI,OAAO,CAAE;AACzF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ,UAAyB,CAAC;AAAA,IACzE;AACA,QAAI,IAAI,CAAC,EAAE,WAAW;AACpB,YAAM,QAAmB,MAAM,IAAI,CAAC,EAAE,SAAS;AAC/C,iBAAW,QAAQ;AAAO,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,KAAK,KAAoB,CAAC;AAAA,IACxF;AAAA,EACF;AACA,SAAO;AACT;;;ACzIO,SAASC,YAAW,KAAK;AAC9B,SAAO;AAAA,IACL,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC;AAAA,IAC5C,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC;AAAA,EAC9C;AACF;AAEO,SAASC,cAAa,KAAK;AAChC,SAAO;AAAA,IACL,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK;AAAA,IAC5D,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK;AAAA,EAC9D;AACF;AAEO,SAAS,yBAAyB,KAAK,OAAO,UAAU;AAC7D,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,QAAQ,CAAC;AAAA,IACb,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,SAAS,CAAC,IAAI;AAAA,IAClB,IAAI,SAAS,CAAC,IAAI;AAAA,EACpB,CAAC;AACD,SAAU,GAAM,cAAc,OAAO,OAAO,CAAC,CAAC,GAAG,QAAQ;AAC3D;AAEO,SAASC,qBAAoB,KAAK,QAAQ;AAC/C,QAAM,aAAa,CAAC,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,CAAC;AAChF,QAAM,WAAW,CAAC,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,CAAC;AAC1E,QAAM,gBAAgB,IAAI,cAAc,IAAI,CAAC,UAAU;AACrD,UAAM,cAAc,CAAC,MAAM,CAAC,IAAI,OAAO,CAAC,GAAG,MAAM,CAAC,IAAI,OAAO,CAAC,CAAC;AAC/D,WAAO;AAAA,EACT,CAAC;AACD,SAAO,EAAE,YAAY,UAAU,eAAe,YAAY,IAAI,WAAW;AAC3E;AAEO,SAASC,YAAW,KAAK,SAAS,KAAK;AAC5C,QAAM,SAASF,cAAa,GAAG;AAC/B,QAAMG,QAAOJ,YAAW,GAAG;AAC3B,QAAM,cAAc,CAAC,SAASI,MAAK,CAAC,IAAI,GAAG,SAASA,MAAK,CAAC,IAAI,CAAC;AAC/D,QAAM,aAAa,CAAC,OAAO,CAAC,IAAI,YAAY,CAAC,GAAG,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAC1E,QAAM,WAAW,CAAC,OAAO,CAAC,IAAI,YAAY,CAAC,GAAG,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AACxE,SAAO,EAAE,YAAY,UAAU,eAAe,IAAI,cAAc;AAClE;AAEO,SAASC,aAAY,KAAK;AAC/B,QAAM,UAAUJ,cAAa,GAAG;AAChC,QAAMG,QAAOJ,YAAW,GAAG;AAC3B,QAAM,UAAU,KAAK,IAAI,GAAGI,KAAI;AAChC,QAAM,WAAW,UAAU;AAC3B,QAAM,aAAa,CAAC,QAAQ,CAAC,IAAI,UAAU,QAAQ,CAAC,IAAI,QAAQ;AAChE,QAAM,WAAW,CAAC,QAAQ,CAAC,IAAI,UAAU,QAAQ,CAAC,IAAI,QAAQ;AAC9D,SAAO,EAAE,YAAY,UAAU,eAAe,IAAI,cAAc;AAClE;AAaO,SAASE,kBAAiB,OAAO;AACtC,SAAO,QAAQ,IAAI,KAAK,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,KAAK,GAAG;AAC3E;AAEO,SAASC,iBAAgB,QAAQ,QAAQ;AAC9C,QAAM,UAAU,KAAK,KAAK,IAAI,KAAK,MAAM,EAAE,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,CAAC;AACxF,SAAOD,kBAAiB,OAAO;AACjC;AAEO,IAAME,0BAAyB,CAAC,GAAGC,OAAM,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAGA,EAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAEzE,SAASC,KAAIC,KAAIC,KAAI;AAC1B,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAID,IAAG,QAAQ,KAAK;AAClC,eAAWA,IAAG,CAAC,IAAIC,IAAG,CAAC;AAAA,EACzB;AACA,SAAO;AACT;AAEO,SAASC,oBAAmB,KAAK,aAAa;AACnD,QAAM,SAAmB,CAAC;AAC1B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,WAAO,KAAK,IAAI,CAAC,EAAE,WAAW,CAAC;AAAA,EACjC;AACA,SAAO;AACT;AAEO,SAASC,2BAA0B,MAAM,MAAM;AACpD,QAAM,UAAsB,CAAC;AAC7B,QAAMC,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,YAAQ,KAAK,CAAC,CAAC;AACf,aAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,cAAQ,GAAG,EAAE,KAAKL,KAAI,KAAK,GAAG,GAAGG,oBAAmB,MAAM,GAAG,CAAC,CAAC;AAAA,IACjE;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAASG,qBAAoB,UAAU,QAAQ;AACpD,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AACpE,QAAM,oBAAoBR,wBAAuB,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACrE,QAAM,2BAA2BM,2BAA0B,mBAAmB,cAAc;AAC5F,QAAM,4BAA4BN,wBAAuB,CAAC,OAAO,CAAC,GAAG,CAAC,OAAO,CAAC,CAAC;AAC/E,SAAOM,2BAA0B,0BAA0B,yBAAyB;AACtF;AAEO,SAASG,uBAAsB,QAAQ;AAC5C,QAAM,oBAAoB,CAAC,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,CAAC;AACrF,QAAM,uBAAuB,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACxD,QAAM,sBAAsB;AAAA,IAC1B,CAACP,KAAI,kBAAkB,CAAC,GAAG,oBAAoB;AAAA,IAC/C,CAACA,KAAI,kBAAkB,CAAC,GAAG,oBAAoB;AAAA,EACjD;AACA,SAAO;AAAA,IACL,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC;AAAA,IAClD,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC;AAAA,IAClD,CAAC,GAAG,GAAG,CAAC;AAAA,EACV;AACF;AAEO,SAASQ,aAAY,uBAAuB,gBAAgB;AACjE,SAAO;AAAA,IACLR,KAAI,uBAAuB,eAAe,CAAC,CAAC;AAAA,IAC5CA,KAAI,uBAAuB,eAAe,CAAC,CAAC;AAAA,EAC9C;AACF;;;ACpIO,IAAMS,WAAU;AAAA,EACrB,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AACzB;;;ACz3FO,IAAM,eAAN,MAAmB;AAAA,EAQxB,YAAYC,SAAmB;AAP/B;AACA;AACA;AACA;AACA;AACA;AAnBF,QAAAC,KAAAC,KAAAC,KAAAC;AAsBI,SAAK,QAAQJ;AACb,SAAK,UAAkBK,SAAQ,IAAI,CAAC,WAAW,CAAC,OAAO,GAAG,OAAO,CAAC,CAAC;AACnE,SAAK,gBAAmB,GAAS,KAAK,OAAO;AAC7C,SAAK,cAAYD,OAAAD,OAAAD,OAAAD,MAAA,6BAAM,UAAN,gBAAAA,IAAa,WAAb,gBAAAC,IAAsB,OAAtB,gBAAAC,IAA0B,UAA1B,gBAAAC,IAAkC,OAAM;AACzD,SAAK,kBAAqB,GAAS,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AACnE,SAAK,wBAA2B,GAAS,CAAC,KAAK,YAAY,GAAG,KAAK,YAAY,CAAC,CAAC;AAAA,EACnF;AAAA,EAEA,eAAe,OAAO;AACpB,UAAME,MAA4B,CAAC;AACnC,IAAAA,IAAE,aAAgB,GAAM,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC9C,IAAAA,IAAE,WAAc,GAAM,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC5C,IAAAA,IAAE,MAAS,GAAIA,IAAE,YAAY,KAAK,eAAe;AACjD,IAAAA,IAAE,kBAAqB,GAAIA,IAAE,KAAK,KAAK,aAAa;AACpD,IAAAA,IAAE,eAAkB,GAAIA,IAAE,UAAU,KAAK,qBAAqB;AAC9D,IAAAA,IAAE,MAAS,GAAIA,IAAE,iBAAiBA,IAAE,YAAY;AAChD,IAAAA,IAAE,cAAiB,GAAIA,IAAE,KAAK,KAAK,eAAe;AAClD,IAAAA,IAAE,MAAS,GAAIA,IAAE,iBAAiBA,IAAE,YAAY;AAChD,IAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,KAAK,eAAe;AAChD,UAAM,MAAS,GAAS,CAACA,IAAE,aAAyBA,IAAE,SAAqB,GAAG,CAAC;AAC/E,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AAAA,EAEA,mBAAmB,kBAAkBC,QAAuB;AAC1D,UAAMD,MAA4B,CAAC;AACnC,IAAAA,IAAE,UAAa,EAAQ,kBAAkB,CAAC,IAAI,GAAG,CAAC,CAAC;AACnD,IAAAA,IAAE,MAAS,GAAIA,IAAE,SAAS,KAAK,eAAe;AAC9C,IAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,KAAK,QAAQC,MAAK,IAAI,KAAK,QAAQA,MAAK,IAAI,CAAC;AACzE,UAAM,MAAS,GAAID,IAAE,WAAW,KAAK,eAAe;AACpD,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AAAA,EAEA,MAAM,QAAQ,OAAiBE,SAA+G;AAxDhJ,QAAAP;AAyDI,UAAMK,MAA4B,CAAC;AACnC,IAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AAC1E,IAAAA,IAAE,MAAS,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACxC,IAAAA,IAAE,QAAW,GAAIA,IAAE,KAAK,UAAU,GAAG;AACrC,IAAAA,IAAE,UAAU,KAAK,MAAM,QAAQA,IAAE,KAAK;AACtC,IAAAA,IAAE,cAAiB,GAAQA,IAAE,OAAO;AACpC,IAAAA,IAAE,QAAW,GAAMA,IAAE,aAAa,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,IAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK;AAC9B,IAAAA,IAAE,SAAY,GAAQA,IAAE,OAAO;AAC/B,UAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,IAAAA,IAAE,QAAW,GAAMA,IAAE,aAAa,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,IAAAA,IAAE,OAAO,KAAK,eAAeA,IAAE,KAAK;AAEpC,IAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,MAAkBA,IAAE,QAAoB,OAAKL,MAAAO,QAAO,SAAP,gBAAAP,IAAa,gBAAe,IAAIO,QAAO,KAAK,cAAcA,QAAO,KAAK,aAAa;AAChL,UAAM,MAAM,MAAMF,IAAE,IAAI,MAAM;AAC9B,UAAM,QAA8F,CAAC;AACrG,eAAWC,UAAS,KAAK;AACvB,YAAM,IAA4B,CAAC;AACnC,QAAE,MAAS,GAAMD,IAAE,MAAM,CAACC,QAAO,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AAC5C,QAAE,QAAW,GAAMD,IAAE,aAAa,CAACC,QAAO,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AACrD,QAAE,OAAO,KAAK,mBAAmB,EAAE,OAAOA,MAAK;AAC/C,QAAE,gBAAmB,EAAQ,EAAE,MAAM,CAAC,IAAI,CAAC,CAAC;AAC5C,YAAM,MAAM,MAAM,EAAE,IAAI,KAAK;AAC7B,YAAM,aAAa,IAAI,MAAM,GAAG,CAAC;AACjC,YAAM,WAAW,IAAI,MAAM,GAAG,CAAC;AAC/B,YAAM,gBAAgB,MAAM,EAAE,cAAc,MAAM;AAClD,YAAME,QAAO,EAAE,YAAY,UAAU,eAAe,YAAY,OAAOF,MAAK,EAAE;AAC9E,YAAM,SAAcG,qBAAoBD,OAAM,EAAE,MAAM,MAAM,CAAC,KAAK,KAAK,KAAK,YAAY,MAAM,MAAM,CAAC,KAAK,KAAK,KAAK,SAAS,CAAC;AAC9H,YAAM,KAAK,MAAM;AACjB,aAAO,KAAK,CAAC,EAAE,QAAQ,CAAC,WAAc,GAAQ,EAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,WAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AACF;;;AC7EA,IAAM,uBAAuB;AAC7B,IAAM,uBAAuB;AAC7B,IAAM,kBAAkB,CAAC,GAAG,GAAG,GAAG,IAAI,IAAI,GAAG,CAAC;AAC9C,IAAM,wBAAwB;AAC9B,IAAM,gCAAgC;AACtC,IAAIK,aAAW;AAER,IAAM,eAAN,MAAmB;AAAA,EAQxB,YAAY,cAAcC,gBAAe;AAPzC;AACA;AACA;AACA;AACA;AACA;AA3BF,QAAAC,KAAAC,KAAAC;AA8BI,SAAK,eAAe;AACpB,SAAK,gBAAgBH;AACrB,SAAK,cAAYG,OAAAD,OAAAD,MAAA,KAAK,kBAAL,gBAAAA,IAAoB,WAApB,gBAAAC,IAA6B,GAAG,UAAhC,gBAAAC,IAAwC,OAAM;AAC/D,SAAK,cAAc,CAAC;AACpB,SAAK,UAAU,OAAO;AACtB,SAAK,gBAAgB;AAAA,EACvB;AAAA,EAEA,8BAA8B,WAAW;AACvC,UAAMC,MAAK,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACpC,UAAMC,MAAK,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACpC,UAAM,aAAa,CAAC,KAAK,IAAI,GAAGD,GAAE,GAAG,KAAK,IAAI,GAAGC,GAAE,CAAC;AACpD,UAAM,WAAW,CAAC,KAAK,IAAI,GAAGD,GAAE,GAAG,KAAK,IAAI,GAAGC,GAAE,CAAC;AAClD,WAAO,EAAE,YAAY,SAAS;AAAA,EAChC;AAAA,EAEA,uBAAuB,eAAe,gBAAgB;AACpD,UAAM,uBAAuB,cAAc,IAAI,CAAC,UAAeC,aAAY,CAAC,GAAG,OAAO,CAAC,GAAG,cAAc,CAAC;AACzG,UAAM,gBAAgB,KAAK,8BAA8B,oBAAoB;AAC7E,WAAYC,YAAgBC,aAAY,aAAa,GAAG,oBAAoB;AAAA,EAC9E;AAAA,EAEA,uBAAuB,WAAW;AAChC,UAAM,cAAc,KAAK,8BAA8B,SAAS;AAChE,UAAM,gBAAqBD,YAAgBC,aAAY,WAAW,GAAG,oBAAoB;AACzF,kBAAc,gBAAgB,CAAC;AAC/B,aAAS,IAAI,GAAG,IAAI,gBAAgB,QAAQ,KAAK;AAC/C,oBAAc,cAAc,KAAK,UAAU,gBAAgB,CAAC,CAAC,EAAE,MAAM,GAAG,CAAC,CAAC;AAAA,IAC5E;AACA,WAAO;AAAA,EACT;AAAA,EAEA,mBAAmB,WAAW,MAAM,OAAO,gBAAgB;AACzD,UAAM,UAAeC,YAAW,IAAI;AACpC,UAAM,cAAc,CAAC,QAAQ,CAAC,IAAI,KAAK,WAAW,QAAQ,CAAC,IAAI,KAAK,YAAY,QAAQ,CAAC,IAAI,QAAQ,CAAC,KAAK,KAAK,YAAY,CAAC;AAC7H,UAAM,eAAe,UAAU,IAAI,CAAC,UAAU;AAAA,MAC5C,YAAY,CAAC,KAAK,MAAM,CAAC,IAAI,KAAK,YAAY;AAAA,MAC9C,YAAY,CAAC,KAAK,MAAM,CAAC,IAAI,KAAK,YAAY;AAAA,MAC9C,YAAY,CAAC,IAAI,MAAM,CAAC;AAAA,IAC1B,CAAC;AACD,UAAM,uBAA4BC,qBAAoB,OAAO,CAAC,GAAG,CAAC,CAAC;AACnE,UAAM,gBAAgB,aAAa,IAAI,CAAC,UAAU;AAChD,YAAM,UAAeJ,aAAY,OAAO,oBAAoB;AAC5D,aAAO,CAAC,GAAG,SAAS,MAAM,CAAC,CAAC;AAAA,IAC9B,CAAC;AACD,UAAM,wBAA6BK,uBAAsB,cAAc;AACvE,UAAM,YAAY,CAAC,GAAQC,cAAa,IAAI,GAAG,CAAC;AAChD,UAAM,oBAAoB;AAAA,MACnBC,KAAI,WAAW,sBAAsB,CAAC,CAAC;AAAA,MACvCA,KAAI,WAAW,sBAAsB,CAAC,CAAC;AAAA,IAC9C;AACA,WAAO,cAAc,IAAI,CAAC,UAAU;AAAA,MAClC,KAAK,MAAM,MAAM,CAAC,IAAI,kBAAkB,CAAC,CAAC;AAAA,MAC1C,KAAK,MAAM,MAAM,CAAC,IAAI,kBAAkB,CAAC,CAAC;AAAA,MAC1C,KAAK,MAAM,MAAM,CAAC,CAAC;AAAA,IACrB,CAAC;AAAA,EACH;AAAA,EAEA,MAAM,cAAc,OAAOC,SAAQ;AACjC,QAAI,cAAc;AAGlB,QAAI;AACJ,UAAM,YAAYA,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIf;AACxD,UAAM,YAAY,KAAK,WAAWe,QAAO,KAAK,cAAc;AAC5D,QAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,cAAQ,MAAM,KAAK,aAAa,QAAQ,OAAOA,OAAM;AACrD,WAAK,UAAU;AAAA,IACjB;AACA,QAAIA,QAAO;AAAa,WAAK;AAG7B,QAAI,SAAU,MAAM,SAAS,MAAQ,MAAM,WAAW,KAAK,iBAAmB,KAAK,kBAAkBA,QAAO,KAAK,eAAgB,CAACA,QAAO,KAAK,YAAY;AACxJ,WAAK,gBAAgB;AACrB,WAAK,cAAc,CAAC,GAAG,KAAK;AAE5B,UAAI,KAAK,YAAY,SAAS;AAAG,sBAAc;AAAA,IACjD;AACA,UAAM,QAAoJ,CAAC;AAG3J,aAAS,IAAI,GAAG,IAAI,KAAK,YAAY,QAAQ,KAAK;AAChD,YAAM,aAAa,KAAK,YAAY,CAAC;AACrC,UAAI,CAAC;AAAY;AACjB,UAAIA,QAAO,KAAK,WAAW;AACzB,cAAM,QAAQA,QAAO,KAAK,WAAgBC,iBAAgB,WAAW,cAAc,qBAAqB,GAAG,WAAW,cAAc,6BAA6B,CAAC,IAAI;AACtK,cAAM,aAAkBH,cAAa,UAAU;AAC/C,cAAM,uBAAyC,CAAC,WAAW,CAAC,IAAI,MAAM,MAAM,CAAC,GAAG,WAAW,CAAC,IAAI,MAAM,MAAM,CAAC,CAAC;AAC9G,cAAM,eAAeE,QAAO,KAAK,YAAY,IAAI,QAAQ,SAAS,kBAAkB,IAAO,GAAM,iBAAiB,OAAO,OAAO,GAAG,oBAAoB,IAAI,MAAM,MAAM;AACvK,cAAM,iBAAsBJ,qBAAoB,CAAC,OAAO,UAAU;AAClE,cAAM,SAAS,cAAc,KAAK,uBAAuB,WAAW,eAAe,cAAc,IAAI;AACrG,cAAM,eAAoB,yBAAyB,QAAQ,cAAc,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AACzG,cAAM,YAAe,GAAI,cAAc,UAAU,KAAK;AACtD,QAAG,GAAQ,YAAY;AACvB,QAAG,GAAQ,YAAY;AACvB,cAAM,CAAC,aAAa,SAAS,IAAI,KAAK,cAAc,QAAQ,SAAS;AACrE,QAAAX,aAAW,IAAI;AACf,QAAG,GAAQ,SAAS;AACpB,cAAM,cAAc,MAAM,YAAY,KAAK,GAAG,CAAC;AAC/C,QAAG,GAAQ,WAAW;AACtB,YAAI,cAAce,QAAO,KAAK,gBAAgB,GAAG;AAC/C,gBAAM,oBAAuB,EAAQ,WAAW,CAAC,IAAI,CAAC,CAAC;AACvD,gBAAM,YAAY,MAAM,kBAAkB,MAAM;AAChD,UAAG,GAAQ,SAAS;AACpB,UAAG,GAAQ,iBAAiB;AAC5B,gBAAM,SAAS,KAAK,mBAAmB,WAAW,QAAQ,OAAO,cAAc;AAC/E,gBAAM,kBAAkB,KAAK,uBAAuB,MAAM;AAC1D,eAAK,YAAY,CAAC,IAAI,EAAE,GAAG,iBAAiB,WAAW;AACvD,gBAAM,SAAS;AAAA,YACb,WAAW;AAAA,YACX;AAAA,YACA,eAAe,WAAW;AAAA,YAC1B,kBAAkB;AAAA,YAClB,KAAK,EAAE,SAAS,gBAAgB,YAAY,aAAa,gBAAgB,SAAS;AAAA,UACpF;AACA,gBAAM,KAAK,MAAM;AAAA,QACnB,OAAO;AACL,eAAK,YAAY,CAAC,IAAI;AAAA,QACxB;AACA,QAAG,GAAQ,SAAS;AAAA,MACtB,OAAO;AAEL,cAAM,WAAgBP,YAAgBC,aAAY,UAAU,GAAG,oBAAoB;AACnF,cAAM,SAAS;AAAA,UACb,YAAY,WAAW;AAAA,UACvB,eAAe,WAAW;AAAA,UAC1B,kBAAkB;AAAA,UAClB,KAAK,EAAE,SAAS,SAAS,YAAY,aAAa,SAAS,SAAS;AAAA,UACpE,WAAW,CAAC;AAAA,QACd;AACA,cAAM,KAAK,MAAM;AAAA,MACnB;AAAA,IACF;AACA,SAAK,cAAc,KAAK,YAAY,OAAO,CAAC,MAAM,MAAM,IAAI;AAC5D,SAAK,gBAAgB,MAAM;AAC3B,QAAI,MAAM,SAASM,QAAO,KAAK;AAAa,YAAM,SAASA,QAAO,KAAK;AACvE,WAAO;AAAA,EACT;AACF;;;ACxJA,IAAME,mBAAkB;AAAA,EACtB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,QAAQ,CAAC,GAAG,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACrB,OAAO,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,CAAC;AACV;AAEA,IAAI;AACJ,IAAI;AACJ,IAAI;AAEJ,eAAsBC,UAAQ,OAAeC,SAAuC;AAClF,QAAM,cAAc,MAAM,aAAa,cAAc,OAAOA,OAAM;AAClE,MAAI,CAAC;AAAa,WAAO,CAAC;AAC1B,QAAM,QAAsB,CAAC;AAC7B,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAMC,eAAc,CAAC;AACrB,QAAI,YAAY,CAAC,EAAE,WAAW;AAC5B,iBAAW,OAAO,OAAO,KAAKH,gBAAe,GAAG;AAC9C,QAAAG,aAAY,GAAG,IAAIH,iBAAgB,GAAG,EAAE,IAAI,CAACI,WAAU,YAAY,CAAC,EAAE,UAAUA,MAAK,CAAC;AAAA,MACxF;AAAA,IACF;AACA,UAAM,YAAY,YAAY,CAAC,EAAE;AACjC,QAAI,MAAW,CAAC,OAAO,kBAAkB,OAAO,kBAAkB,GAAG,CAAC;AACtE,QAAI,SAAc,CAAC,GAAG,GAAG,GAAG,CAAC;AAC7B,QAAI,aAAa,UAAU,SAAS,GAAG;AACrC,iBAAW,MAAM,WAAW;AAC1B,YAAI,GAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAI,GAAG,CAAC;AACjC,YAAI,GAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAI,GAAG,CAAC;AACjC,YAAI,GAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAI,GAAG,CAAC;AACjC,YAAI,GAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAI,GAAG,CAAC;AAAA,MACnC;AACA,UAAI,CAAC,KAAK,IAAI,CAAC;AACf,UAAI,CAAC,KAAK,IAAI,CAAC;AACf,eAAS,CAAC,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE;AAAA,IAC1I,OAAO;AACL,YAAM,YAAY,CAAC,EAAE,MAAM;AAAA,QACzB,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QACrD,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QACrD,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QAC1H,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,MAC5H,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AACf,eAAS;AAAA,QACN,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,KAAM,MAAM,MAAM,CAAC,KAAK;AAAA,QACpD,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,KAAM,MAAM,MAAM,CAAC,KAAK;AAAA,SACpD,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,SACxF,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,MAC3F;AAAA,IACF;AACA,UAAM,YAAuB,QAAQ,SAAS;AAC9C,UAAM,KAAK;AAAA,MACT,IAAI;AAAA,MACJ,OAAO,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,UAAU,IAAI;AAAA,MACrD,UAAU,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,aAAa,IAAI;AAAA,MAC3D,aAAa,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,gBAAgB,IAAI;AAAA,MACjE,OAAO;AAAA,MACP;AAAA,MACA;AAAA,MACA;AAAA,MACA,aAAaD;AAAA,MACb;AAAA,IACF,CAAC;AAAA,EACH;AACA,SAAO;AACT;AAEA,eAAsBE,OAAKH,SAAiE;AApF5F,MAAAI,KAAAC;AAqFE,MAAI,IAAI,SAAS;AACf,wBAAoB;AACpB,oBAAgB;AAAA,EAClB;AACA,MAAI,CAAC,qBAAqB,CAAC,eAAe;AACxC,KAAC,mBAAmB,aAAa,IAAI,MAAM,QAAQ,IAAI;AAAA,MACrDL,QAAO,KAAK,UAAU,WAAUI,MAAAJ,QAAO,KAAK,aAAZ,gBAAAI,IAAsB,SAAS,IAAI;AAAA,MACnEJ,QAAO,KAAK,YAAY,WAAUK,MAAAL,QAAO,KAAK,aAAZ,gBAAAK,IAAsB,SAAS,IAAI;AAAA,IACvE,CAAC;AAAA,EACH,OAAO;AACL,QAAIL,QAAO;AAAO,UAAI,iBAAiB,kBAAkB,UAAU,CAAC;AACpE,QAAIA,QAAO;AAAO,UAAI,iBAAiB,cAAc,UAAU,CAAC;AAAA,EAClE;AACA,QAAM,eAAe,oBAAoB,IAAiB,aAAa,iBAAiB,IAAI;AAC5F,MAAI,gBAAgB;AAAe,mBAAe,IAAiB,aAAa,cAAc,aAAa;AAC3G,SAAO,CAAC,mBAAmB,aAAa;AAC1C;;;ACjFA,IAAMM,UAAiD,CAAC,MAAM,IAAI;AAClE,IAAM,mBAAmB,CAAC,+CAA+C,oDAAoD;AAE7H,IAAMC,aAAY,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAEjC,IAAM,UAAU,CAAC,QAAQ,QAAQ,SAAS,SAAS,QAAQ,OAAO,UAAU;AAC5E,IAAM,YAAY;AAElB,IAAM,gBAAgB;AACtB,IAAM,wBAAwB;AAC9B,IAAM,qBAAqB;AAE3B,IAAIC,YAAU,OAAO;AACrB,IAAIC,aAAW;AACf,IAAI,aAA+B,CAAC,GAAG,CAAC;AAUxC,IAAMC,SAGF;AAAA,EACF,OAAO,CAAC;AAAA,EACR,OAAO,CAAC;AACV;AAEA,IAAM,YAAY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAShB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,QAAQ,CAAC,GAAG,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACrB,OAAO,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,CAAC;AAAA,EACR,MAAM,CAAC,GAAG,IAAI,IAAI,GAAG,GAAG,GAAG,CAAC;AAC9B;AAEA,eAAsBC,YAAWC,SAAqC;AAtEtE,MAAAC;AAwEE,MAAI,IAAI;AAAS,IAAAP,QAAO,CAAC,IAAI;AAC7B,MAAI,CAACA,QAAO,CAAC,GAAG;AAGd,YAAQ,CAAC,qBAAqB,SAAS,wBAAwB,SAAS,YAAY,UAAU,QAAQ,mBAAmB,iBAAiB,qBAAqB,qBAAqB,cAAc,SAAS,SAAS,OAAO,GAAGM,OAAM;AACpO,IAAAN,QAAO,CAAC,IAAI,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAC3D,UAAM,SAASP,QAAO,CAAC,EAAE,UAAU,IAAI,OAAO,OAAOA,QAAO,CAAC,EAAE,eAAe,QAAQ,CAAC,IAAI;AAE3F,IAAAC,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAExF,IAAAA,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EAC1F,WAAWK,QAAO;AAAO,QAAI,iBAAiBN,QAAO,CAAC,EAAE,UAAU,CAAC;AACnE,SAAOA,QAAO,CAAC;AACjB;AAEA,eAAsB,aAAaM,SAAqC;AAvFxE,MAAAC;AAwFE,MAAI,IAAI;AAAS,IAAAP,QAAO,CAAC,IAAI;AAC7B,MAAI,CAACA,QAAO,CAAC,GAAG;AACd,IAAAA,QAAO,CAAC,IAAI,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAC3D,UAAM,SAASP,QAAO,CAAC,EAAE,UAAU,IAAI,OAAO,OAAOA,QAAO,CAAC,EAAE,eAAe,QAAQ,CAAC,IAAI;AAE3F,IAAAC,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAExF,IAAAA,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EAC1F,WAAWK,QAAO;AAAO,QAAI,iBAAiBN,QAAO,CAAC,EAAE,UAAU,CAAC;AACnE,SAAOA,QAAO,CAAC;AACjB;AAQA,eAAe,YAAY,OAAiBQ,SAA6C;AACvF,QAAM,QAA4B,CAAC;AACnC,MAAI,CAAC,SAAS,CAACC,QAAO,CAAC;AAAG,WAAO;AACjC,QAAMC,MAA4B,CAAC;AACnC,QAAMC,UAAS,MAAM,MAAM,CAAC,KAAK,MAAM,MAAM,MAAM,CAAC,KAAK;AACzD,QAAM,SAAS,KAAK,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,CAAC,IAAI,GAAG,qBAAqB;AACxF,QAAM,QAAQ,KAAK,MAAM,SAASA,SAAQ,CAAC,IAAI;AAC/C,EAAAD,IAAE,SAAY,GAAM,eAAe,OAAO,CAAC,QAAQ,KAAK,CAAC;AACzD,EAAAA,IAAE,OAAU,GAAKA,IAAE,QAAQ,OAAO;AAClC,GAACA,IAAE,WAAWA,IAAE,QAAQ,IAAI,MAAMD,QAAO,CAAC,EAAE,aAAaC,IAAE,MAAM,gBAAgB;AACjF,EAAAA,IAAE,QAAW,GAAQA,IAAE,UAAU,CAAC,GAAG,CAAC,CAAC;AACvC,EAAAA,IAAE,SAAY,GAAQA,IAAE,WAAW,CAAC,CAAC,CAAC;AACtC,QAAM,cAA2B,GAAQA,IAAE,QAAQ,CAAC;AACpD,EAAG,GAAQ,YAAY,SAAS,CAAC;AACjC,cAAY,OAAO,WAAW,CAAC;AAC/B,EAAAA,IAAE,WAAc,GAAM,aAAa,CAAC;AACpC,EAAG,GAAQ,WAAW;AAEtB,EAAAA,IAAE,MAAS,GAAIA,IAAE,UAAU,CAAC;AAC5B,EAAAA,IAAE,SAAY,GAAOA,IAAE,UAAU,CAAC;AAClC,MAAIE,MAAK;AACT,EAAAF,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,MAAkBF,QAAO,KAAK,eAAe,KAAK,GAAGA,QAAO,KAAK,gBAAgB,GAAGA,QAAO,KAAK,iBAAiB,CAAC;AACvL,QAAM,MAAM,MAAME,IAAE,IAAI,KAAK;AAC7B,QAAM,SAAS,MAAMA,IAAE,IAAI,KAAK;AAChC,QAAM,WAAW,MAAMA,IAAE,OAAO,KAAK;AACrC,aAAW,YAAY,MAAM,KAAK,GAAG,GAAG;AACtC,UAAM,WAAc,GAAMA,IAAE,OAAO,UAAU,CAAC;AAC9C,UAAM,QAAQ,MAAM,SAAS,KAAK;AAClC,IAAG,GAAQ,QAAQ;AACnB,UAAM,UAAe,CAAC,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,MAAM,CAAC,IAAI,MAAM,CAAC,GAAG,MAAM,CAAC,IAAI,MAAM,CAAC,CAAC;AAClF,UAAM,SAAkB,MAAM,SAAS,kBAAkB;AACzD,UAAM,UAAe,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,CAAC;AACpL,UAAM,QAAQ,OAAO,QAAQ;AAC7B,UAAM,QAAQ,QAAQ,SAAS,QAAQ,CAAC;AACxC,UAAMG,QAAyB,EAAE,IAAID,OAAM,OAAO,KAAK,SAAS,QAAQ,MAAM;AAC9E,UAAM,KAAKC,KAAI;AAAA,EACjB;AACA,SAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,QAAM,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACtC,MAAI,MAAM,UAAUF,QAAO,KAAK,eAAe;AAAI,UAAM,SAAUA,QAAO,KAAK,eAAe;AAC9F,SAAO;AACT;AAEA,eAAe,cAAc,OAAiB,GAAqBA,SAAqC;AACtG,QAAMK,QAAmB;AAAA;AAAA,IACvB,IAAI,EAAE;AAAA,IACN,OAAO,KAAK,MAAM,MAAM,EAAE,KAAK,IAAI;AAAA,IACnC,UAAU,KAAK,MAAM,MAAM,EAAE,KAAK,IAAI;AAAA,IACtC,aAAa;AAAA,IACb,KAAK,EAAE;AAAA,IACP,QAAQ,EAAE;AAAA,IACV,OAAO,EAAE;AAAA,IACT,WAAW,CAAC;AAAA,IACZ,WAAW,CAAC;AAAA,IACZ,aAAa,CAAC;AAAA,EAChB;AACA,MAAI,SAASJ,QAAO,CAAC,KAAKD,QAAO,KAAK,aAAa,EAAE,SAASA,QAAO,KAAK,iBAAiB,IAAI;AAC7F,UAAME,MAA4B,CAAC;AACnC,UAAM,UAAU,CAAC,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,IAAI,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,IAAI,EAAE,OAAO,CAAC,CAAC;AAC/F,IAAAA,IAAE,OAAU,GAAM,cAAc,OAAO,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,CAACI,WAAU,CAAC,EAAE,CAAC,GAAGA,WAAU,CAAC,EAAE,CAAC,CAAC,GAAG,UAAU;AACrG,IAAAJ,IAAE,MAAS,GAAIA,IAAE,MAAM,UAAU,KAAK;AACtC,KAACA,IAAE,OAAOA,IAAE,SAAS,IAAID,QAAO,CAAC,EAAE,QAAQC,IAAE,KAAK,CAAC,cAAc,UAAU,CAAC;AAC5E,UAAM,YAAY,MAAMA,IAAE,MAAM,KAAK,GAAG,CAAC;AACzC,UAAM,SAAS,MAAM,KAAK,MAAM,OAAO,IAAI,KAAK,IAAI,QAAQ,EAAE,KAAK;AACnE,QAAI,UAAUF,QAAO,KAAK,iBAAiB,IAAI;AAC7C,MAAAK,MAAK,cAAc;AACnB,MAAAH,IAAE,WAAc,EAAQA,IAAE,WAAW,CAAC,IAAI,CAAC,CAAC;AAC5C,YAAM,aAAsB,MAAMA,IAAE,SAAS,MAAM;AACnD,YAAM,YAAqB,WAAW,IAAI,CAACK,SAAQ,CAACA,KAAI,CAAC,IAAID,WAAU,CAAC,EAAE,CAAC,GAAGC,KAAI,CAAC,IAAID,WAAU,CAAC,EAAE,CAAC,GAAIC,KAAI,CAAC,KAAK,CAAE,CAAC;AACtH,YAAM,aAAsB,UAAU,IAAI,CAACA,SAAQ,CAACA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,GAAGA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,GAAIA,KAAI,CAAC,KAAK,CAAE,CAAC;AAC9G,MAAAF,MAAK,YAAa,WAAY,IAAI,CAACE,SAAQ,CAAC,WAAW,CAAC,KAAKA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,IAAI,WAAW,CAAC,KAAKA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,IAAKA,KAAI,CAAC,KAAK,CAAE,CAAC;AAC1I,MAAAF,MAAK,YAAuB,QAAQA,MAAK,SAAS;AAClD,iBAAW,OAAO,OAAO,KAAK,SAAS,GAAG;AACxC,QAAAA,MAAK,YAAY,GAAG,IAAI,UAAU,GAAG,EAAE,IAAI,CAACG,WAAmBH,MAAK,aAAaA,MAAK,UAAUG,MAAK,IAAIH,MAAK,UAAUG,MAAK,IAAI,IAAK;AAAA,MACxI;AAAA,IACF;AACA,WAAO,KAAKN,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,EAC1D;AACA,SAAOG;AACT;AAEA,eAAsBI,UAAQ,OAAiBT,SAAuC;AA3LtF,MAAAU,KAAAC;AA4LE,MAAI,GAACD,MAAAT,QAAO,CAAC,MAAR,gBAAAS,IAAY,gBAAe,GAACC,MAAAV,QAAO,CAAC,MAAR,gBAAAU,IAAY,gBAAe,CAACV,QAAO,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAACA,QAAO,CAAC,EAAE,OAAO,CAAC,EAAE;AAAO,WAAO,CAAC;AAC9H,eAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AACtD,EAAAW;AACA,QAAM,YAAYZ,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIa;AACxD,QAAM,YAAYD,aAAWZ,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAOc,OAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,mBAAmB,KAAKd,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIa;AACpE,UAAM,oBAAoBD,YAAU,KAAKZ,QAAO,KAAK,cAAc;AACnE,QAAIA,QAAO,eAAec,OAAM,MAAM,WAAWd,QAAO,KAAK,aAAa;AACxE,MAAAc,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASd,OAAM,CAAC,CAAC;AAAA,IACrG,WAAWA,QAAO,eAAe,oBAAoB,qBAAqBc,OAAM,MAAM,SAAS,GAAG;AAChG,MAAAA,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASd,OAAM,CAAC,CAAC;AAAA,IACrG,OAAO;AACL,MAAAc,OAAM,QAAQ,MAAM,YAAY,OAAOd,OAAM;AAC7C,MAAAa,aAAW,IAAI;AACf,MAAAC,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASd,OAAM,CAAC,CAAC;AACnG,MAAAY,YAAU;AAAA,IACZ;AAEA,UAAM,WAAW,CAAC,GAAGE,OAAM,KAAK;AAChC,IAAAA,OAAM,MAAM,SAAS;AACrB,QAAId,QAAO,mBAAmB,GAAG;AAC/B,eAAS,IAAI,GAAG,IAAIc,OAAM,MAAM,QAAQ,KAAK;AAC3C,cAAM,SAAa,OAAOA,OAAM,MAAM,CAAC,EAAE,WAAW,UAAU;AAC9D,YAAI,OAAO,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,QAAQ,OAAO,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,QAAQA,OAAM,MAAM,CAAC,EAAE,eAAeA,OAAM,MAAM,CAAC,EAAE,eAAed,QAAO,KAAK,iBAAiB,IAAI;AAC/L,gBAAM,WAAe,MAAM,OAAO,KAAK,aAAa;AACpD,gBAAM,cAAkB,MAAM,OAAO,QAAQ,aAAa;AAE1D,UAAAc,OAAM,MAAM,KAAK,EAAE,GAAG,SAAS,CAAC,GAAG,KAAK,UAAU,QAAQ,YAAY,CAAC;AAAA,QACzE;AAAA,MACF;AAAA,IACF;AACA,aAAS,IAAI,GAAG,IAAIA,OAAM,MAAM,QAAQ,KAAK;AAC3C,YAAM,OAAW,KAAKA,OAAM,MAAM,CAAC,EAAE,WAAW,UAAU;AAC1D,MAAAA,OAAM,MAAM,CAAC,EAAE,MAAM,KAAK;AAC1B,MAAAA,OAAM,MAAM,CAAC,EAAE,SAAS,KAAK;AAAA,IAC/B;AACA,YAAQA,OAAM,KAAK;AAAA,EACrB,CAAC;AACH;;;ACKO,IAAM,QAAQ,CAAC,QAAuB,UAAkB,EAAE,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,SAAS,CAAC,GAAG,QAAQ,CAAC,GAAG,SAAS,CAAC,GAAG,aAAa,CAAC,GAAG,WAAW,GAAG,OAAO,GAAG,QAAQ,GAAG,MAAM;;;AC3O/L;AAAA;AAAA,mBAAAC;AAAA,EAAA;AAAA,aAAAC;AAAA,EAAA;AAAA;AAAA;AAAO,IAAMA,OAAgB;AAAA;AAAA,EAC3B;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AACF;AAEO,IAAM,aAAyB;AAAA;AAAA,EACpC,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,gBAAgB,eAAe;AAAA,EAChC,CAAC,aAAa,YAAY;AAAA,EAC1B,CAAC,aAAa,YAAY;AAAA,EAC1B,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,YAAY,WAAW;AAAA,EACxB,CAAC,aAAa,YAAY;AAC5B;AAEO,IAAM,WAAuB;AAAA;AAAA,EAClC,CAAC,YAAY,cAAc;AAAA,EAC3B,CAAC,aAAa,eAAe;AAAA,EAC7B,CAAC,aAAa,UAAU;AAAA,EACxB,CAAC,cAAc,WAAW;AAC5B;AAEO,IAAM,WAAyB;AAAA;AAAA,EACpC,CAAC,CAAC,WAAW,UAAU,GAAG,CAAC,gBAAgB,eAAe,CAAC;AAAA,EAC3D,CAAC,CAAC,aAAa,YAAY,GAAG,CAAC,gBAAgB,eAAe,CAAC;AACjE;AAEO,IAAMD,aAAsC;AAAA;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,WAAW;AAAA,EAC5C,UAAU,CAAC,YAAY,aAAa,YAAY;AAAA,EAChD,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW,cAAc;AAAA,EAC9E,SAAS,CAAC,gBAAgB,aAAa,WAAW;AAAA,EAClD,UAAU,CAAC,iBAAiB,cAAc,YAAY;AAAA,EACtD,MAAM,CAAC;AACT;;;ACrCA,IAAM,iBAAyB,MAAM;AACrC,IAAI,kBAAkB;AAEf,SAASE,MAAK,WAAmBC,SAAwB;AAhBhE,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC;AAiBE,QAAM,KAAK,IAAI;AACf,MAAI,CAAC;AAAW,WAAO,MAAM;AAK7B,QAAM,UAAU,KAAK,IAAI,IAAI,UAAU;AAUvC,QAAM,iBAAiB,UAAU,MAAO,IAAI,KAAK,IAAI,UAAU,CAAC,IAAI;AAEpE,MAAI,UAAU;AAAQ,mBAAe,SAAS,UAAU;AACxD,MAAI,UAAU;AAAO,mBAAe,QAAQ,UAAU;AAGtD,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAM,UAAU,KAAK,CAAC,EAAE,IAC3B,IAAI,CAAC,aAAaC,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAIA,GAAC,IAAI,eAAe,cAAc;AAChH,YAAM,SAAS,UAAU,KAAK,CAAC,EAAE,OAC9B,IAAI,CAAC,aAAaA,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAOA,GAAC,IAAI,eAAe,cAAc;AACnH,YAAM,YAAa,UAAU,KAAK,CAAC,EAAE,UAClC,IAAI,CAAC,QAAQA,QAAG;AAhDzB,YAAAtB,KAAAC,KAAAC,KAAAC,KAAAoB,KAAAnB,KAAAC,KAAAC,KAAAC;AAgD6B;AAAA,UACnB,OAAO,OAAO;AAAA,UACd,MAAM,OAAO;AAAA,UACb,UAAU;AAAA,YACR,eAAe,KAAK,CAAC,EAAE,UAAUe,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,YACtL,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,YACtL,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,UACxL;AAAA,UACA,aAAa;AAAA,YACX,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,YAC/L,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,YAC/L,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,UACjM;AAAA,UACA,UAAU;AAAA,YACR,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,MAAM,iBAAiB,QAAMtB,MAAA,eAAe,KAAK,CAAC,EAAE,UAAUsB,GAAC,EAAE,aAApC,gBAAAtB,IAA+C,OAAM,QAAMC,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBC,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,YAC3L,eAAe,KAAK,CAAC,EAAE,UAAUoB,GAAC,MAAM,iBAAiB,QAAMnB,MAAA,eAAe,KAAK,CAAC,EAAE,UAAUmB,GAAC,EAAE,aAApC,gBAAAnB,IAA+C,OAAM,QAAMoB,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBnB,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,YAC3L,eAAe,KAAK,CAAC,EAAE,UAAUkB,GAAC,MAAM,iBAAiB,QAAMjB,MAAA,eAAe,KAAK,CAAC,EAAE,UAAUiB,GAAC,EAAE,aAApC,gBAAAjB,IAA+C,OAAM,QAAMC,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBC,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,UAC7L;AAAA,QACF;AAAA,OAAE;AAEJ,YAAMiB,eAAiD,CAAC;AACxD,UAAI,SAAS,EAAE,WAAW,CAAC,EAAE;AAC7B,WAAIxB,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,SAAS;AAAkB,iBAAS;AAAA,gBACtDC,MAAAF,QAAO,KAAK,cAAZ,gBAAAE,IAAuB,SAAS;AAAc,iBAAS;AAAA,gBACvDC,MAAAH,QAAO,KAAK,cAAZ,gBAAAG,IAAuB,SAAS;AAAY,iBAAS;AAC9D,iBAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAQ,OAAO,SAAqC,GAAG;AAC1F,cAAM,KAAgB,CAAC;AACvB,iBAASoB,MAAI,GAAGA,MAAI,QAAQ,SAAS,GAAGA,OAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAACG,QAAOA,IAAG,SAAS,QAAQH,GAAC,CAAC;AACzD,gBAAM,MAAM,UAAU,KAAK,CAACG,QAAOA,IAAG,SAAS,QAAQH,MAAI,CAAC,CAAC;AAE7D,cAAI,OAAO;AAAK,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,QACtD;AACA,QAAAE,aAAY,IAAI,IAAI;AAAA,MACtB;AACA,qBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,WAAW,aAAAA,aAAY;AAAA,IACvF;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAO,UAAU,KAAK,CAAC,EAAE,IAC5B,IAAI,CAAC,GAAGF,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAIA,GAAC,IAAI,KAAK,cAAc;AAC5F,YAAM,SAAU,UAAU,KAAK,CAAC,EAAE,OAC/B,IAAI,CAAC,GAAGA,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAOA,GAAC,IAAI,KAAK,cAAc;AAC/F,UAAI,eAAe,KAAK,CAAC,EAAE,UAAU,WAAW,UAAU,KAAK,CAAC,EAAE,UAAU;AAAQ,uBAAe,KAAK,CAAC,EAAE,YAAY,UAAU,KAAK,CAAC,EAAE;AACzI,YAAM,YAAY,UAAU,KAAK,CAAC,EAAE,aAAa,UAAU,KAAK,CAAC,EAAE,UAAU,SAAS,IAAI,UAAU,KAAK,CAAC,EAAE,UACzG,IAAI,CAAC,UAAUA,QAAM,SACnB,IAAI,CAAC,OAAO,QAAS,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAUA,GAAC,EAAE,CAAC,KAAK,MAAM,SAAS,MAAM,cAAe,CAAU,IACrI,CAAC;AACL,UAAIE,eAAc,CAAC;AACnB,UAAI,OAAO,KAAK,eAAe,KAAK,CAAC,EAAE,WAAW,EAAE,WAAW,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,EAAE,QAAQ;AAChH,uBAAe,KAAK,CAAC,EAAE,cAAc,UAAU,KAAK,CAAC,EAAE;AACvD,QAAAA,eAAc,eAAe,KAAK,CAAC,EAAE;AAAA,MACvC,WAAW,UAAU,KAAK,CAAC,EAAE,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,GAAG;AAC5D,UAAAA,aAAY,GAAG,MAAIpB,OAAA,MAAAD,MAAA,UAAU,KAAK,CAAC,MAAhB,gBAAAA,IAAmB,gBAAnB,mBAAiC,SAAjC,gBAAAC,IAAwC,MACvD,UAAU,KAAK,CAAC,EAAE,YAAY,GAAG,EAChC,IAAI,CAAC,KAAKkB,QAAc,IACtB,IAAI,CAAC,OAAe,QAAgB,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,YAAY,GAAG,EAAEA,GAAC,EAAE,CAAC,IAAI,SAAS,cAAc,CAAC,IACrI;AAAA,QACN;AAAA,MACF;AACA,qBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,WAAW,aAAaE,aAAyC;AAAA,IACjI;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAO,UAAU,KAAK,CAAC,EAAE,IAC5B,IAAI,CAAC,GAAGF,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAIA,GAAC,IAAI,KAAK,cAAc;AAC5F,YAAM,SAAU,UAAU,KAAK,CAAC,EAAE,OAC/B,IAAI,CAAC,GAAGA,UAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAOA,GAAC,IAAI,KAAK,cAAc;AAC/F,UAAIE,eAA6C,UAAU,KAAK,CAAC,EAAE;AACnE,UAAI,OAAO,KAAK,eAAe,KAAK,CAAC,EAAE,WAAW,EAAE,WAAW,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,EAAE,QAAQ;AAChH,uBAAe,KAAK,CAAC,EAAE,cAAc,UAAU,KAAK,CAAC,EAAE;AACvD,QAAAA,eAAc,eAAe,KAAK,CAAC,EAAE;AAAA,MACvC,WAAW,UAAU,KAAK,CAAC,EAAE,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,GAAG;AAC5D,UAAAA,aAAY,GAAG,MAAIjB,OAAAD,OAAAD,MAAA,UAAU,KAAK,CAAC,MAAhB,gBAAAA,IAAmB,gBAAnB,gBAAAC,IAAiC,SAAjC,gBAAAC,IAAwC,MACvD,UAAU,KAAK,CAAC,EAAE,YAAY,GAAG,EAChC,IAAI,CAAC,KAAKe,QAAc,IACtB,IAAI,CAAC,OAAe,QAAgB,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,YAAY,GAAG,EAAEA,GAAC,EAAE,CAAC,IAAI,SAAS,cAAc,CAAC,IACrI;AAAA,QACN;AAAA,MACF;AACA,UAAI,UAAU,KAAK,CAAC,EAAE,UAAU;AAC9B,cAAM,WAIF,EAAE,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,EAAE,MAAM,GAAG,KAAK,GAAG,OAAO,EAAE,GAAG,MAAM,EAAE,SAAS,GAAG,UAAU,EAAE,EAAE;AACnH,iBAAS,UAASd,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B;AAC9C,iBAAS,QAAQ;AAAA,UACf,QAAQ,iBAAiB,QAAMC,OAAA,oBAAe,KAAK,CAAC,EAAE,aAAvB,mBAAiC,UAAjC,gBAAAA,IAAwC,SAAQ,QAAME,OAAAD,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,UAA5B,gBAAAC,IAAmC,SAAQ,MAAM;AAAA,UACtI,OAAO,iBAAiB,QAAME,OAAAD,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,UAAjC,gBAAAC,IAAwC,QAAO,QAAME,OAAAD,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,UAA5B,gBAAAC,IAAmC,QAAO,MAAM;AAAA,UACnI,SAAS,iBAAiB,QAAM,MAAAC,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,UAAjC,mBAAwC,UAAS,QAAME,OAAAD,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,UAA5B,gBAAAC,IAAmC,UAAS,MAAM;AAAA,QAC3I;AACA,iBAAS,OAAO;AAAA;AAAA,UAEd,WAAW,iBAAiB,QAAMC,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,KAAK,YAAW,QAAMC,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,KAAK,YAAW,MAAM;AAAA,UAC3I,YAAY,iBAAiB,QAAM,oBAAe,KAAK,CAAC,EAAE,aAAvB,mBAAiC,KAAK,aAAY,QAAMC,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,KAAK,aAAY,MAAM;AAAA,QAChJ;AACA,uBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,UAAU,KAAK,QAAQ,aAAAG,aAAY;AAAA,MACtF,OAAO;AACL,uBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,aAAAA,aAAY;AAAA,MAC5E;AAAA,IACF;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,UAAW,UAAU,OAAO,WAAW,eAAe,OAAO,QAAS;AACxF,mBAAe,SAAS,KAAK,MAAM,KAAK,UAAU,UAAU,MAAM,CAAC;AAAA,EACrE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,OAAO,QAAQ,KAAK;AAChD,YAAM,MAAO,UAAU,OAAO,CAAC,EAAE,IAC9B,IAAI,CAAC,GAAGF,UAAQ,iBAAiB,KAAK,eAAe,OAAO,CAAC,EAAE,IAAIA,GAAC,IAAI,KAAK,cAAc;AAC9F,YAAM,SAAU,UAAU,OAAO,CAAC,EAAE,OACjC,IAAI,CAAC,GAAGA,UAAQ,iBAAiB,KAAK,eAAe,OAAO,CAAC,EAAE,OAAOA,GAAC,IAAI,KAAK,cAAc;AACjG,qBAAe,OAAO,CAAC,IAAI,EAAE,GAAG,UAAU,OAAO,CAAC,GAAG,KAAK,OAAO;AAAA,IACnE;AAAA,EACF;AAGA,MAAI,UAAU,SAAS;AACrB,UAAM,aAAa,UAAU;AAC7B,QAAI,CAAC,eAAe,WAAY,WAAW,WAAW,eAAe,QAAQ,QAAS;AACpF,qBAAe,UAAU,KAAK,MAAM,KAAK,UAAU,UAAU,CAAC;AAAA,IAChE,OAAO;AACL,eAAS,IAAI,GAAG,IAAI,WAAW,QAAQ,KAAK;AAC1C,uBAAe,QAAQ,CAAC,EAAE,MAAO,WAAW,CAAC,EAAE,IAC5C,IAAI,CAAC,KAAKA,UAAQ,iBAAiB,KAAK,eAAe,QAAQ,CAAC,EAAE,IAAIA,GAAC,IAAI,OAAO,cAAc;AAAA,MACrG;AAAA,IACF;AAAA,EACF;AAGA,MAAI,UAAU;AAAS,mBAAe,UAAU,UAAU;AAG1D,iBAAe,QAAQ,UAAU;AACjC,iBAAe,SAAS,UAAU;AAGlC,QAAMI,MAAK,IAAI;AACf,oBAAkB,IAAI,UAAU,kBAAkB,KAAK,MAAMA,MAAK,EAAE,IAAI,KAAK,MAAMA,MAAK,EAAE;AAC1F,MAAI,UAAU;AAAa,mBAAe,cAAc,EAAE,GAAG,UAAU,aAAa,aAAa,gBAAgB;AAEjH,SAAO;AACT;;;AC5LA,IAAIC;AAEJ,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACF,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUE,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBF,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBG,UAAQ,OAAiBD,SAAwC;AAvBvF,MAAAE;AAwBE,MAAI,CAACJ;AAAO,IAAAA,UAAQ,MAAMC,OAAKC,OAAM;AACrC,MAAI,EAACF,WAAA,gBAAAA,QAAQ,gBAAe,GAACI,MAAAJ,WAAA,gBAAAA,QAAO,WAAP,gBAAAI,IAAgB,GAAG;AAAO,WAAO;AAC9D,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAACL,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,GAAGA,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AAC7J,EAAAK,IAAE,OAAU,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACzC,EAAAA,IAAE,MAAML,QAAM,QAAQK,IAAE,IAAI;AAC5B,EAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK,CAAC,CAAC,CAAC;AAEjC,GAACA,IAAE,OAAOA,IAAE,KAAK,IAAO,GAAQA,IAAE,SAAS,CAAC;AAE5C,EAAAA,IAAE,KAAQ,GAAQA,IAAE,KAAK;AACzB,EAAAA,IAAE,MAAS,GAAIA,IAAE,IAAI,UAAU,KAAK;AACpC,EAAAA,IAAE,SAAY,GAAWA,IAAE,KAAK,CAAC;AACjC,EAAAA,IAAE,SAAY,GAAM,eAAeA,IAAE,QAAoB,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AACnG,MAAI;AACJ,UAAQH,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,MAAAG,IAAE,QAAW,GAAQ,KAAK;AAC1B,MAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,OAAOA,IAAE,MAAM,GAAG,EAAE;AAC5C,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF,KAAK;AACH,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACrDA;AAAA;AAAA;AAAA;AAAA;AAAA;AAWO,SAAS,SAAS,aAAyB,aAAyBC,WAAwB,EAAE,OAAO,GAAG,YAAY,GAAG,GAAG;AAE/H,MAAI,CAAC,eAAe,CAAC;AAAa,WAAO,OAAO;AAChD,MAAI,MAAM;AACV,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,OAAQ,CAACA,SAAQ,SAASA,SAAQ,UAAU,IAAM,YAAY,CAAC,IAAI,YAAY,CAAC,IAAM,KAAK,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,CAAC;AACpI,WAAQ,CAACA,SAAQ,SAASA,SAAQ,UAAU,IAAM,OAAO,OAAS,QAAQA,SAAQ;AAAA,EACpF;AACA,UAAQA,SAAQ,cAAc,MAAM;AACtC;AAGA,IAAM,oBAAoB,CAAC,MAAM,OAAO,KAAK,QAAQ;AACnD,MAAI,SAAS;AAAG,WAAO;AACvB,QAAM,OAAO,UAAU,IAAI,KAAK,KAAK,IAAI,IAAI,SAAS,IAAI;AAC1D,QAAM,QAAQ,IAAK,OAAO,MAAO,QAAQ,MAAM;AAC/C,QAAMC,SAAQ,KAAK,IAAI,KAAK,IAAI,MAAM,CAAC,GAAG,CAAC;AAC3C,SAAOA;AACT;AAaO,SAAS,WAAW,aAAyB,aAAyBD,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,KAAK,KAAK,KAAK,IAAI,GAAG;AACrJ,QAAM,OAAO,SAAS,aAAa,aAAaA,QAAO;AACvD,SAAO,kBAAkB,MAAMA,SAAQ,SAAS,GAAGA,SAAQ,OAAO,GAAGA,SAAQ,OAAO,CAAC;AACvF;AAWO,SAAS,KAAK,YAAwB,aAA2BA,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,WAAW,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG;AAC9J,MAAI,CAAC,MAAM,QAAQ,UAAU,KAAK,CAAC,MAAM,QAAQ,WAAW,KAAK,WAAW,SAAS,MAAM,YAAY,WAAW,GAAG;AACnH,WAAO,EAAE,OAAO,IAAI,UAAU,OAAO,mBAAmB,YAAY,EAAE;AAAA,EACxE;AACA,MAAI,iBAAiB,OAAO;AAC5B,MAAIE,SAAQ;AACZ,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,MAAM,YAAY,CAAC,EAAE,WAAW,WAAW,SAAS,SAAS,YAAY,YAAY,CAAC,GAAGF,QAAO,IAAI,OAAO;AACjH,QAAI,MAAM,gBAAgB;AACxB,uBAAiB;AACjB,MAAAE,SAAQ;AAAA,IACV;AACA,QAAI,kBAAkBF,SAAQ,aAAa;AAAI;AAAA,EACjD;AACA,QAAM,uBAAuB,kBAAkB,gBAAgBA,SAAQ,SAAS,GAAGA,SAAQ,OAAO,GAAGA,SAAQ,OAAO,CAAC;AACrH,SAAO,EAAE,OAAAE,QAAO,UAAU,gBAAgB,YAAY,qBAAqB;AAC7E;;;ACxEA,IAAAC,kBAAA;AAAA,SAAAA,iBAAA;AAAA;AAAA;AAAA;;;ACMA,IAAM,YAAY;AAElB,IAAMC,SAGF;AAAA,EACF,WAAW,CAAC;AAAA,EACZ,SAAS,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAC1C;AAEO,SAAS,UAAUC,OAAkB;AAC1C,aAAW,QAAe,YAAY;AACpC,UAAM,OAAOA,MAAK,UAAU,UAAU,CAACC,QAAOA,IAAG,SAAS,KAAK,CAAC,CAAC;AACjE,UAAM,QAAQD,MAAK,UAAU,UAAU,CAACC,QAAOA,IAAG,SAAS,KAAK,CAAC,CAAC;AAClE,QAAID,MAAK,UAAU,IAAI,KAAKA,MAAK,UAAU,KAAK,GAAG;AACjD,UAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,GAAG;AACxE,cAAM,MAAMA,MAAK,UAAU,IAAI;AAC/B,QAAAA,MAAK,UAAU,IAAI,IAAIA,MAAK,UAAU,KAAK;AAC3C,QAAAA,MAAK,UAAU,KAAK,IAAI;AAAA,MAC1B;AAAA,IACF;AAAA,EACF;AACA,aAAW,QAAe,UAAU;AAClC,UAAM,QAAQA,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC1E,UAAM,SAASD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC3E,QAAID,MAAK,UAAU,KAAK,KAAKA,MAAK,UAAU,MAAM,GAAG;AACnD,UAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,GAAG;AAC1E,QAAAA,MAAK,UAAU,OAAO,OAAO,CAAC;AAAA,MAChC;AAAA,IACF;AAAA,EACF;AACA,aAAW,CAAC,MAAME,QAAO,KAAY,UAAU;AAC7C,UAAM,OAAOF,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AACzE,UAAM,QAAQD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC1E,UAAM,SAASD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAASC,SAAQ,CAAC,CAAE;AAC9E,UAAM,UAAUF,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAASC,SAAQ,CAAC,CAAE;AAC/E,QAAI,CAACF,MAAK,UAAU,MAAM,KAAK,CAACA,MAAK,UAAU,OAAO;AAAG;AACzD,UAAM,eAAeA,MAAK,UAAU,IAAI,IAAI;AAAA,MAC1C,KAAK,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,CAAC;AAAA,MAC9E,KAAK,IAAIA,MAAK,UAAU,OAAO,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,CAAC;AAAA,IACjF,IAAI,CAAC,GAAG,CAAC;AACT,UAAM,gBAAgBA,MAAK,UAAU,KAAK,IAAI;AAAA,MAC5C,KAAK,IAAIA,MAAK,UAAU,OAAO,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,CAAC;AAAA,MAChF,KAAK,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,CAAC;AAAA,IACjF,IAAI,CAAC,GAAG,CAAC;AACT,QAAI,aAAa,CAAC,IAAI,aAAa,CAAC,KAAK,cAAc,CAAC,IAAI,cAAc,CAAC,GAAG;AAC5E,YAAM,MAAMA,MAAK,UAAU,IAAI;AAC/B,MAAAA,MAAK,UAAU,IAAI,IAAIA,MAAK,UAAU,KAAK;AAC3C,MAAAA,MAAK,UAAU,KAAK,IAAI;AAAA,IAC1B;AAAA,EACF;AACF;AAEO,SAAS,OAAO,WAA2C;AAChE,WAAS,IAAI,GAAG,IAAI,UAAU,QAAQ,KAAK;AACzC,QAAI,UAAU,CAAC,KAAKD,OAAM,UAAU,CAAC,GAAG;AACtC,YAAM,OAAO,CAAC,KAAK,IAAI,UAAU,CAAC,EAAE,YAAY,CAAC,IAAIA,OAAM,UAAU,CAAC,EAAE,YAAY,CAAC,CAAC,GAAG,KAAK,IAAI,UAAU,CAAC,EAAE,YAAY,CAAC,IAAIA,OAAM,UAAU,CAAC,EAAE,YAAY,CAAC,CAAC,CAAC;AAClK,UAAI,KAAK,CAAC,IAAI,aAAa,KAAK,CAAC,IAAI,WAAW;AAC9C,kBAAU,CAAC,IAAIA,OAAM,UAAU,CAAC;AAAA,MAClC,OAAO;AACL,QAAAA,OAAM,UAAU,CAAC,IAAI,UAAU,CAAC;AAAA,MAClC;AAAA,IACF,OAAO;AACL,MAAAA,OAAM,UAAU,CAAC,IAAI,UAAU,CAAC;AAAA,IAClC;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAAS,SAAS,OAAeI,aAA2B;AA3EnE,MAAAC,KAAAC;AA4EE,QAAMC,MAA4B,CAAC;AACnC,MAAI,GAACF,MAAA,+BAAO,UAAP,gBAAAA,IAAe,OAAM,GAACC,MAAA,+BAAO,UAAP,gBAAAA,IAAe;AAAI,WAAO;AACrD,EAAAN,OAAM,UAAU;AAAA,IACd,CAAC,GAAG,CAAC;AAAA;AAAA,IACL,CAAC,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,GAAG,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC;AAAA;AAAA,IACjL,CAAC,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,GAAG,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC;AAAA;AAAA,IACjL,CAAC,GAAG,CAAC;AAAA;AAAA,EACP;AACA,EAAAO,IAAE,MAAS,GAAI,OAAOP,OAAM,OAAO;AACnC,EAAAO,IAAE,SAAY,GAAM,eAAeA,IAAE,KAAiB,CAACH,aAAWA,WAAS,CAAC;AAC5E,QAAM,QAAW,GAAKG,IAAE,QAAQ,OAAO;AACvC,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEO,SAAS,YAAYN,OAAkBO,aAA0C;AACtF,EAAAP,MAAK,YAAYA,MAAK,UAAU,OAAO,CAACQ,SAAQA,QAAA,gBAAAA,KAAK,QAAQ;AAC7D,aAAWA,QAAOR,MAAK,WAAW;AAChC,IAAAQ,KAAI,WAAW;AAAA,MACbA,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAIR,OAAM,QAAQ,CAAC,EAAE,CAAC,IAAIA,OAAM,QAAQ,CAAC,EAAE,CAAC,KAAKQ,YAAW,CAAC,IAAIR,OAAM,QAAQ,CAAC,EAAE,CAAC;AAAA,MAClHS,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAIR,OAAM,QAAQ,CAAC,EAAE,CAAC,IAAIA,OAAM,QAAQ,CAAC,EAAE,CAAC,KAAKQ,YAAW,CAAC,IAAIR,OAAM,QAAQ,CAAC,EAAE,CAAC;AAAA,IACpH;AACA,IAAAS,KAAI,cAAc;AAAA,MAChBA,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC;AAAA,MAAGC,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC;AAAA,IACjE;AAAA,EACF;AACA,QAAM,gBAAoB,KAAKP,MAAK,UAAU,IAAI,CAAC,OAAO,GAAG,QAAQ,GAAGO,WAAU;AAClF,EAAAP,MAAK,MAAM,cAAc;AACzB,EAAAA,MAAK,SAAS,cAAc;AAC5B,SAAOA;AACT;;;ACxFA,IAAIS;AACJ,IAAIC,aAAY;AAChB,IAAIC,YAAU,OAAO;AAGrB,IAAMC,SAIF;AAAA,EACF,OAAO,CAAC;AAAA,EACR,QAAQ,CAAC;AAAA,EACT,MAAM;AACR;AAEA,eAAsBC,OAAKC,SAAqC;AAjChE,MAAAC;AAkCE,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA,SAAO;AACV,YAAQ,CAAC,MAAM,GAAGK,OAAM;AACxB,IAAAL,UAAQ,MAAM,UAAUK,QAAO,KAAK,SAAS;AAAA,EAC/C,WAAWA,QAAO;AAAO,QAAI,iBAAiBL,QAAM,UAAU,CAAC;AAC/D,EAAAC,cAAaD,WAAA,gBAAAA,QAAQ,kBAAeM,MAAAN,WAAA,gBAAAA,QAAO,WAAP,gBAAAM,IAAgB,GAAG,SAASN,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AAC3F,MAAIC,aAAY;AAAI,IAAAA,aAAY;AAEhC,MAAO,EAAI,EAAE,aAAa;AAA2B,IAAG,EAAI,EAAE,IAAI,6BAA6B,KAAK;AACpG,SAAOD;AACT;AAEA,SAAS,gBAAgB,KAAKK,SAAQ,OAAO;AAC3C,QAAME,OAAM,IAAI,CAAC,EAAE,CAAC;AACpB,QAAM,YAA4B,CAAC;AACnC,MAAI,QAAQ;AACZ,WAASC,MAAK,GAAGA,MAAKD,KAAI,QAAQC,OAAM;AACtC,YAAQD,KAAIC,GAAE,EAAE,CAAC;AACjB,QAAI,QAAQH,QAAO,KAAK,eAAe;AACrC,YAAM,cAAqB,CAACE,KAAIC,GAAE,EAAE,CAAC,GAAGD,KAAIC,GAAE,EAAE,CAAC,CAAC;AAClD,gBAAU,KAAK;AAAA,QACb,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,QACjC,MAAaD,KAAIC,GAAE;AAAA,QACnB;AAAA,QACA,UAAU;AAAA;AAAA,UACR,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC;AAAA,UACjD,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC;AAAA,QACnD;AAAA,MACF,CAAC;AAAA,IACH;AAAA,EACF;AACA,UAAQ,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO,CAAC;AACnF,QAAM,SAAuB,CAAC;AAC9B,QAAM,SAAa,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG,QAAQ,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC;AAC5F,QAAMC,eAAyC,CAAC;AAChD,aAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeC,UAAS,GAAG;AAC9D,UAAM,KAAgB,CAAC;AACvB,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAACC,QAAOA,IAAG,SAAS,QAAQ,CAAC,CAAC;AACzD,YAAM,MAAM,UAAU,KAAK,CAACA,QAAOA,IAAG,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC7D,UAAI,OAAO,OAAO,IAAI,SAASN,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,IACtJ;AACA,IAAAI,aAAY,IAAI,IAAI;AAAA,EACtB;AACA,QAAMG,QAAmB,EAAE,IAAI,GAAG,OAAO,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW,aAAAH,aAAY;AACxG,EAAI,UAAUG,KAAI;AAClB,SAAO,KAAKA,KAAI;AAChB,SAAO;AACT;AAEA,SAAS,eAAe,KAAKP,SAAQ,OAAO;AAC1C,QAAM,SAAuB,CAAC;AAC9B,WAASG,MAAK,GAAGA,MAAK,IAAI,CAAC,EAAE,QAAQA,OAAM;AACzC,UAAMD,OAAM,IAAI,CAAC,EAAEC,GAAE;AACrB,UAAM,WAAW,KAAK,MAAM,MAAMD,KAAI,KAAK,CAAC,CAAC,IAAI;AACjD,QAAI,WAAWF,QAAO,KAAK,eAAe;AACxC,YAAM,YAA4B,CAAC;AACnC,eAAS,IAAI,GAAG,IAAI,IAAI,KAAK;AAC3B,cAAM,QAAQE,KAAI,IAAI,IAAI,CAAC;AAC3B,YAAI,QAAQF,QAAO,KAAK,eAAe;AACrC,gBAAM,cAAqB,CAACE,KAAI,IAAI,IAAI,CAAC,GAAGA,KAAI,IAAI,IAAI,CAAC,CAAC;AAC1D,oBAAU,KAAK;AAAA,YACb,MAAaA,KAAI,CAAC;AAAA,YAClB,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,YACjC;AAAA,YACA,UAAU,CAAC,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC,GAAG,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC,CAAC;AAAA,UACnH,CAAC;AAAA,QACH;AAAA,MACF;AAGA,YAAM,SAAc,CAACA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,IAAIA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,IAAIA,KAAI,KAAK,CAAC,CAAC;AACnG,YAAM,UAAe,CAAC,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,CAAC;AAChN,YAAME,eAAiD,CAAC;AACxD,iBAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeC,UAAS,GAAG;AAC9D,cAAM,KAAgB,CAAC;AACvB,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAACC,QAAOA,IAAG,SAAS,QAAQ,CAAC,CAAC;AACzD,gBAAM,MAAM,UAAU,KAAK,CAACA,QAAOA,IAAG,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC7D,cAAI,OAAO,OAAO,IAAI,SAASN,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,QACtJ;AACA,QAAAI,aAAY,IAAI,IAAI;AAAA,MACtB;AAEA,YAAMG,QAAmB,EAAE,IAAAJ,KAAI,OAAO,UAAU,KAAK,SAAS,QAAQ,WAAW,CAAC,GAAG,SAAS,GAAG,aAAAC,aAAY;AAC7G,MAAI,UAAUG,KAAI;AAClB,aAAO,KAAKA,KAAI;AAAA,IAClB;AAAA,EACF;AACA,SAAO,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACvC,MAAI,OAAO,SAASP,QAAO,KAAK;AAAa,WAAO,SAASA,QAAO,KAAK;AACzE,SAAO;AACT;AAEA,eAAsBQ,UAAQ,OAAeR,SAAuC;AAhIpF,MAAAC;AAiIE,MAAI,EAACN,WAAA,gBAAAA,QAAQ,gBAAe,GAACM,MAAAN,WAAA,gBAAAA,QAAO,WAAP,gBAAAM,IAAgB,GAAG;AAAO,WAAO,CAAC;AAC/D,MAAI,CAACD,QAAO;AAAa,IAAAF,OAAM,MAAM,SAAS;AAC9C,EAAAD;AACA,QAAM,YAAYG,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIF,OAAM;AAC9D,QAAM,YAAYD,aAAWG,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAOF,OAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMW,MAA4B,CAAC;AACnC,IAAAZ,YAAU;AAEV,IAAAY,IAAE,QAAY,SAAS,OAAOb,UAAS;AACvC,IAAAa,IAAE,MAAMd,WAAA,gBAAAA,QAAO,QAAQc,IAAE;AACzB,IAAAX,OAAM,OAAO,IAAI;AACjB,UAAM,MAAM,MAAMW,IAAE,IAAI,MAAM;AAC9B,IAAAX,OAAM,SAAUW,IAAE,IAAI,MAAM,CAAC,MAAM,KAC/B,gBAAgB,KAAKT,SAAQ,KAAK,IAClC,eAAe,KAAKA,SAAQ,KAAK;AACrC,eAAWO,SAAQT,OAAM,QAAQ;AAC/B,MAAI,YAAYS,OAAM,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AAChE,MAAI,OAAOA,MAAK,SAAS;AAAA,IAC3B;AACA,WAAO,KAAKE,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAExD,YAAQX,OAAM,MAAM;AAAA,EACtB,CAAC;AACH;;;AC5IA,IAAIY;AACJ,IAAIC,SAAuB,CAAC;AAC5B,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AACrB,IAAIC,aAAY;AAEhB,IAAM,WAAW;AAEjB,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACN,WAAS,IAAI,SAAS;AACzB,IAAAA,UAAQ,MAAM,UAAUM,QAAO,OAAO,SAAS;AAC/C,UAAM,UAASN,WAAA,gBAAAA,QAAQ,eAAc,OAAO,OAAOA,QAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAI,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWE,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,eAAeO,SAAQ,KAAe,aAA+BD,SAAgB;AAlCrF,MAAAE,KAAAC;AAmCE,MAAIC,MAAK;AACT,MAAI,UAA0B,CAAC;AAC/B,QAAMC,QAAOP;AACb,aAAW,cAAc,CAAC,GAAG,GAAG,CAAC,GAAG;AAElC,UAAM,WAAW,aAAa;AAE9B,UAAM,UAAa,GAAQ,IAAI,KAAK,CAAC,MAAO,EAAE,MAAM,CAAC,MAAO,YAAY,MAAO,EAAE,MAAM,CAAC,KAAK,OAAOQ,QAAO,MAAO,CAAa;AAC/H,UAAM,SAAS,MAAM,QAAQ,MAAM;AACnC,UAAM,YAAe,GAAQ,IAAI,KAAK,CAAC,MAAO,EAAE,MAAM,CAAC,MAAO,YAAY,MAAO,EAAE,MAAM,CAAC,KAAK,KAAKA,QAAO,MAAO,CAAa;AAC/H,UAAM,YAAe,EAAQ,WAAW,CAAC,IAAI,MAAIJ,MAAA,UAAU,UAAV,gBAAAA,IAAkB,OAAM,KAAK,CAAC,CAAC;AAChF,UAAM,UAAa,GAAO,WAAW,CAAC;AACtC,UAAM,SAAS,MAAM,QAAQ,MAAM;AACnC,aAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,CAAC,GAAG,KAAK;AACzC,eAASK,MAAI,GAAGA,SAAKJ,MAAA,QAAQ,UAAR,gBAAAA,IAAgB,OAAM,IAAII,OAAK;AAClD,cAAM,QAAQ,OAAO,CAAC,EAAEA,GAAC;AACzB,YAAI,SAASP,QAAO,OAAO,iBAAiB,MAAMO,QAAM,IAAI;AAC1D,gBAAMC,OAAM,MAAM,KAAK,MAAM,IAAI,QAAQ,KAAK;AAC9C,gBAAM,MAAM,MAAM,KAAK,MAAM,IAAI,QAAQ,KAAK;AAC9C,gBAAM,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,MAAc,KAAK,WAAW,aAAcH,MAAM;AACnF,gBAAM,CAAC,GAAGI,EAAC,IAAI;AAAA,YACbD,MAAM,WAAW,aAAa,UAAU,CAAC;AAAA,YACzC,KAAM,WAAW,aAAa,UAAU,CAAC;AAAA,UAC3C;AACA,gBAAM,CAAC,GAAG,CAAC,IAAI;AAAA,YACbA,MAAM,WAAW,aAAa,UAAU,CAAC,IAAK;AAAA,YAC9C,KAAM,WAAW,aAAa,UAAU,CAAC,IAAKC;AAAA,UAChD;AACA,cAAI,SAAc,CAAC,GAAGA,IAAG,GAAG,CAAC;AAC7B,mBAAS,OAAO,IAAI,CAAC,MAAM,KAAK,IAAI,GAAG,KAAK,IAAI,GAAG,CAAC,CAAC,CAAC;AACtD,gBAAM,MAAM;AAAA;AAAA,YACV,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,UAC3B;AACA,gBAAM,SAAS;AAAA,YACb,IAAIL;AAAA;AAAA,YAEJ,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,YACjC,OAAOG,MAAI;AAAA,YACX,OAAOD,QAAOC,GAAC,EAAE;AAAA;AAAA;AAAA,YAGjB,KAAK,IAAI,IAAI,CAAC,MAAM,KAAK,MAAM,CAAC,CAAC;AAAA,YACjC;AAAA,UACF;AACA,kBAAQ,KAAK,MAAM;AAAA,QACrB;AAAA,MACF;AAAA,IACF;AACA,IAAG,GAAQ,CAAC,SAAS,WAAW,WAAW,OAAO,CAAC;AAAA,EACrD;AAIA,QAAM,WAAW,QAAQ,IAAI,CAAC,MAAM,CAAC,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,CAAC,CAAC;AACxF,QAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,EAAE,KAAK;AAC5C,MAAI,SAAmB,CAAC;AACxB,MAAI,YAAY,SAAS,SAAS,GAAG;AACnC,UAAM,MAAM,MAAS,GAAM,uBAAuB,UAAU,WAAWP,QAAO,OAAO,eAAe,GAAGA,QAAO,OAAO,cAAcA,QAAO,OAAO,aAAa;AAC9J,aAAS,MAAM,KAAK,MAAM,IAAI,KAAK,CAAC;AACpC,IAAG,GAAQ,GAAG;AAAA,EAChB;AAGA,YAAU,QACP,OAAO,CAAC,MAAM,QAAQ,OAAO,SAAS,GAAG,CAAC,EAC1C,KAAK,CAAC,GAAG,MAAO,EAAE,QAAQ,EAAE,KAAM;AAErC,SAAO;AACT;AAEA,eAAsBU,UAAQ,OAAiBV,SAAyC;AACtF,MAAI,EAACN,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYM,QAAO,OAAO,YAAY,KAAM,IAAI,IAAIJ;AAC1D,QAAM,YAAYC,aAAWG,QAAO,OAAO,cAAc;AACzD,MAAIA,QAAO,eAAe,YAAY,aAAcL,OAAK,SAAS,GAAI;AACpE,IAAAE;AACA,WAAOF;AAAA,EACT;AACA,EAAAE,YAAU;AACV,MAAI,CAAC,IAAI,QAAQ,SAAS,KAAK,KAAK,CAAC,IAAI,QAAQ,SAAS,eAAe;AAAG,WAAOF;AACnF,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMgB,cAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC5D,UAAM,UAAa,GAAM,eAAe,OAAO,CAACb,YAAWA,UAAS,GAAG,KAAK;AAC5E,UAAM,QAAW,GAAI,SAAS,UAAU,KAAK;AAC7C,UAAM,aAAgB,GAAU,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC,CAAC;AAEnD,QAAI;AACJ,QAAIE,QAAO,OAAO;AAAS,gBAAUN,QAAM,QAAQ,UAAU;AAC7D,IAAAE,aAAW,IAAI;AAEf,UAAM,MAAM,MAAMK,SAAQ,SAAqBU,aAAgCX,OAAM;AACrF,IAAAL,SAAO;AACP,IAAG,GAAQ,CAAC,SAAS,OAAO,YAAY,GAAG,OAAO,CAAC;AACnD,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC9HO,IAAM,YAAY;AAAA,EACvB;AAAA,EAAQ;AAAA,EAAW;AAAA,EAAY;AAAA,EAAW;AAAA,EAAY;AAAA,EACtD;AAAA,EAAiB;AAAA,EAAa;AAAA,EAAc;AAAA,EAAa;AAAA,EACzD;AAAA,EAAW;AAAA,EAAY;AAAA,EAAY;AAAA,EAAa;AAAA,EAAa;AAC/D;AAEO,IAAM,QAAQ,UAAU;AAExB,IAAM,UAAU,UAAU,OAAO,CAAC,QAAQ,WAAW,MAAM;AAChE,SAAO,SAAS,IAAI;AACpB,SAAO;AACT,GAAG,CAAC,CAAC;AAEL,IAAM,qBAAqB;AAAA,EACzB,CAAC,WAAW,cAAc;AAAA,EAAG,CAAC,aAAa,cAAc;AAAA,EACzD,CAAC,aAAa,WAAW;AAAA,EAAG,CAAC,WAAW,UAAU;AAAA,EAClD,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,YAAY,eAAe;AAAA,EACvD,CAAC,cAAc,eAAe;AAAA,EAAG,CAAC,cAAc,YAAY;AAAA,EAC5D,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,aAAa,YAAY;AAAA,EACrD,CAAC,gBAAgB,eAAe;AAAA,EAAG,CAAC,WAAW,UAAU;AAC3D;AACO,IAAM,uBAAuB,mBAAmB,IAAI,CAAC,CAAC,YAAY,UAAU,MAAO,CAAC,QAAQ,UAAU,GAAG,QAAQ,UAAU,CAAC,CAAE;AAE9H,IAAM,YAAY;AAAA,EACvB,CAAC,QAAQ,SAAS;AAAA,EAAG,CAAC,WAAW,SAAS;AAAA,EAAG,CAAC,QAAQ,UAAU;AAAA,EAChE,CAAC,YAAY,UAAU;AAAA,EAAG,CAAC,QAAQ,cAAc;AAAA,EACjD,CAAC,gBAAgB,WAAW;AAAA,EAAG,CAAC,aAAa,WAAW;AAAA,EACxD,CAAC,gBAAgB,SAAS;AAAA,EAAG,CAAC,WAAW,UAAU;AAAA,EACnD,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,QAAQ,eAAe;AAAA,EACnD,CAAC,iBAAiB,YAAY;AAAA,EAAG,CAAC,cAAc,YAAY;AAAA,EAC5D,CAAC,iBAAiB,UAAU;AAAA,EAAG,CAAC,YAAY,WAAW;AAAA,EACvD,CAAC,aAAa,YAAY;AAC5B;AAgBO,SAAS,eAAe,WAA6C;AAC1E,QAAM,QAAQ,UAAU,OAAO,CAAC,EAAE,MAAM,MAAM,MAAM,KAAK,GAAG,EAAE,UAAU,EAAE,GAAG,GAAAiB,GAAE,EAAE,OAAO;AAAA,IACtF,MAAM,KAAK,IAAI,MAAM,CAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAMA,EAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAM,CAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAMA,EAAC;AAAA,EACxB,IAAI;AAAA,IACF,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,EACf,CAAC;AACD,SAAO,CAAC,MAAM,MAAM,MAAM,MAAM,MAAM,OAAO,MAAM,MAAM,MAAM,OAAO,MAAM,IAAI;AAClF;AAEO,SAAS,WAAW,OAAO,CAAC,QAAQ,KAAK,GAAG,CAAC,uBAAuB,oBAAoB,GAAiB;AAC9G,QAAM,SAAS,SAAS;AACxB,QAAM,SAAS,QAAQ;AACvB,QAAM,YAAY,CAAC,MAAM,OAAmB;AAAA,IAC1C,IAAI;AAAA,IACJ,OAAO,KAAK;AAAA,IACZ,QAAQ,CAAC,KAAK,IAAI,CAAC,IAAI,sBAAsB,KAAK,IAAI,CAAC,IAAI,uBAAuB,KAAK,IAAI,CAAC,IAAI,sBAAsB,KAAK,IAAI,CAAC,IAAI,qBAAqB;AAAA,IACzJ,KAAK,CAAC,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,CAAC;AAAA,IAC5I,WAAW,KAAK,UAAU,IAAI,CAAC,EAAE,OAAO,MAAM,SAAS,OAAO;AAAA,MAC5D;AAAA,MACA;AAAA,MACA,UAAU,CAAC,KAAK,MAAM,SAAS,IAAI,MAAM,GAAG,KAAK,MAAM,SAAS,IAAI,MAAM,CAAC;AAAA,MAC3E,aAAa,CAAC,SAAS,IAAI,uBAAuB,SAAS,IAAI,qBAAqB;AAAA,IACtF,EAAE;AAAA,IACF,aAAa,CAAC;AAAA,EAChB;AACA,QAAM,cAAc,MAAM,IAAI,CAAC,MAAM,MAAM,UAAU,MAAM,CAAC,CAAC;AAC7D,SAAO;AACT;AAGO,IAAM,UAAN,MAAc;AAAA;AAAA,EAKnB,YAAYC,UAAS,iBAAiB;AAJtC;AACA;AAAA;AACA;AAGE,SAAK,gBAAgB,IAAI,MAAMA,QAAO;AACtC,SAAK,mBAAmB;AACxB,SAAK,kBAAkB;AAAA,EACzB;AAAA,EAEA,QAAQ,GAAG;AACT,SAAK,cAAc,EAAE,KAAK,gBAAgB,IAAI;AAC9C,SAAK,KAAK,KAAK,gBAAgB;AAAA,EACjC;AAAA,EAEA,UAAU;AACR,UAAM,MAAM,KAAK,cAAc,CAAC;AAChC,SAAK,SAAS,GAAG,KAAK,kBAAkB;AACxC,SAAK,KAAK,CAAC;AACX,SAAK,cAAc,KAAK,mBAAmB,CAAC,IAAI;AAChD,WAAO;AAAA,EACT;AAAA,EAEA,QAAQ;AAAE,WAAO,KAAK,qBAAqB;AAAA,EAAI;AAAA,EAE/C,OAAO;AAAE,WAAO,KAAK,mBAAmB;AAAA,EAAG;AAAA,EAE3C,MAAM;AAAE,WAAO,KAAK,cAAc,MAAM,GAAG,KAAK,mBAAmB,CAAC;AAAA,EAAG;AAAA,EAEvE,MAAM;AAAE,WAAO,KAAK,cAAc,CAAC;AAAA,EAAG;AAAA,EAEtC,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,KAAK,KAAK,MAAM,IAAI,CAAC,GAAG,CAAC,GAAG;AAC/C,WAAK,SAAS,GAAG,KAAK,MAAM,IAAI,CAAC,CAAC;AAClC,UAAI,KAAK,MAAM,IAAI,CAAC;AAAA,IACtB;AAAA,EACF;AAAA,EAEA,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,kBAAkB;AACrC,UAAIC,MAAI,IAAI;AACZ,UAAIA,MAAI,KAAK,oBAAoB,KAAK,KAAKA,KAAGA,MAAI,CAAC;AAAG,QAAAA;AACtD,UAAI,CAAC,KAAK,KAAK,GAAGA,GAAC;AAAG;AACtB,WAAK,SAAS,GAAGA,GAAC;AAClB,UAAIA;AAAA,IACN;AAAA,EACF;AAAA,EAEA,WAAW,GAAG;AAEZ,WAAO,KAAK,gBAAgB,KAAK,cAAc,CAAC,CAAC;AAAA,EACnD;AAAA,EAEA,KAAK,GAAGA,KAAG;AACT,WAAO,KAAK,WAAW,CAAC,IAAI,KAAK,WAAWA,GAAC;AAAA,EAC/C;AAAA,EAEA,SAAS,GAAGA,KAAG;AACb,UAAMC,MAAI,KAAK,cAAc,CAAC;AAC9B,SAAK,cAAc,CAAC,IAAI,KAAK,cAAcD,GAAC;AAC5C,SAAK,cAAcA,GAAC,IAAIC;AAAA,EAC1B;AACF;AAEO,SAAS,eAAeH,IAAG,GAAG,UAAkB,SAAS;AAC9D,SAAO;AAAA,IACL,GAAG,QAAQ,IAAIA,IAAG,GAAG,QAAQ;AAAA,IAC7B,GAAG,QAAQ,IAAIA,IAAG,GAAG,WAAW,KAAK;AAAA,EACvC;AACF;AAEO,SAAS,eAAe,MAAMI,eAAsB,SAAS;AAClE,QAAM,EAAE,UAAU,UAAU,IAAI,SAAS,IAAI;AAC7C,QAAM,EAAE,GAAAJ,IAAG,EAAE,IAAI,eAAe,UAAU,UAAU,UAAU,OAAO;AACrE,SAAO;AAAA,IACL,GAAG,KAAK,WAAWI,gBAAe;AAAA,IAClC,GAAG,KAAK,WAAWA,gBAAeJ;AAAA,EACpC;AACF;AAUO,SAAS,MAAM,GAAG,KAAK,KAAK;AACjC,MAAI,IAAI;AAAK,WAAO;AACpB,MAAI,IAAI;AAAK,WAAO;AACpB,SAAO;AACT;AAEO,SAAS,gBAAgBK,KAAIC,KAAIC,KAAIC,KAAI;AAC9C,QAAM,KAAKD,MAAKF;AAChB,QAAMI,MAAKD,MAAKF;AAChB,SAAO,KAAK,KAAKG,MAAKA;AACxB;AAEO,SAAS,WAAW,GAA6B,GAA6B;AACnF,SAAO,EAAE,GAAG,EAAE,IAAI,EAAE,GAAG,GAAG,EAAE,IAAI,EAAE,EAAE;AACtC;;;ACnLA,IAAIC;AACJ,IAAM,iBAAiB;AAAA,EAAC;AAAA,EAA6C;AAAA,EAAoD;AAAA,EAA+D;AAAA;AAA6D;AACrP,IAAM,qBAAqB;AAC3B,IAAM,eAAe;AACrB,IAAM,mBAAmB,MAAM;AAE/B,SAAS,SAAS,QAAgB,gBAAgB,UAAU,QAAQ,SAAS,eAAe,mBAAmB,GAAG;AAChH,QAAM,kBAAkB,CAACC,YAAW;AAAA,IAClC,GAAG,cAAc,IAAIA,OAAM,GAAGA,OAAM,GAAG,MAAM;AAAA,IAC7C,GAAG,cAAc,IAAIA,OAAM,GAAGA,OAAM,GAAI,cAAc,MAAM,CAAC,IAAI,IAAK,MAAM;AAAA,EAC9E;AACA,QAAM,2BAA2B,CAACA,QAAOC,SAAQC,YAAW;AAAA,IAC1D,GAAS,MAAM,KAAK,MAAMF,OAAM,IAAI,YAAY,GAAG,GAAGC,UAAS,CAAC;AAAA,IAChE,GAAS,MAAM,KAAK,MAAMD,OAAM,IAAI,YAAY,GAAG,GAAGE,SAAQ,CAAC;AAAA,EACjE;AAEA,QAAM,CAAC,QAAQ,KAAK,IAAI,OAAO;AAE/B,QAAM,wBAAwB,yBAAyB,eAAe,UAAU,QAAQ,KAAK;AAC7F,QAAM,eAAe,gBAAgB,qBAAqB;AAC1D,QAAM,iBAAuB,WAAW,eAAe,UAAU,YAAY;AAC7E,MAAI,iBAAiB;AACrB,WAAS,IAAI,GAAG,IAAI,kBAAkB,KAAK;AACzC,UAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ,KAAK;AACpF,UAAM,cAAoB,eAAe,sBAAsB,GAAG,sBAAsB,GAAG,UAAU,OAAO;AAC5G,qBAAuB;AAAA,MACrB,EAAE,GAAG,sBAAsB,IAAI,cAAc,GAAG,sBAAsB,IAAI,aAAa;AAAA,MACvF,EAAE,GAAG,YAAY,GAAG,GAAG,YAAY,EAAE;AAAA,IACvC;AAAA,EACF;AACA,QAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ,KAAK;AACpF,QAAM,QAAQ,OAAO,IAAI,sBAAsB,GAAG,sBAAsB,GAAG,QAAQ;AACnF,SAAO,EAAE,UAAU,gBAAgB,MAAY,UAAU,QAAQ,GAAG,MAAM;AAC5E;AAEO,SAAS,WAAW,MAAM,QAAQ,SAAS,kBAAkB,kBAAkB;AACpF,QAAM,SAAe,UAAU,IAAI,CAAC,CAAC,gBAAgB,aAAa,MAAO,CAAO,QAAQ,cAAc,GAAS,QAAQ,aAAa,CAAC,CAAE;AACvI,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,EAAE,YAAY,MAAM,YAAY;AAC9D,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,aAAa,MAAM,aAAa;AAC9D,QAAM,WAAW,OAAO,MAAM,CAAC;AAC/B,QAAM,WAAW,SAAS;AAC1B,QAAM,YAAY,IAAI,MAAM,QAAQ;AAEpC,QAAM,YAAkB,eAAe,KAAK,MAAM,cAAc,OAAO;AACvE,YAAU,KAAK,KAAK,EAAE,IAAI;AAAA,IACxB,OAAO,KAAK;AAAA,IACZ,MAAY,UAAU,KAAK,KAAK,EAAE;AAAA,IAClC,UAAU;AAAA,EACZ;AAEA,WAAS,OAAO,WAAW,GAAG,QAAQ,GAAG,EAAE,MAAM;AAC/C,UAAM,WAAW,SAAS,IAAI;AAC9B,UAAM,WAAW,SAAS,IAAI;AAC9B,QAAI,UAAU,QAAQ,KAAK,CAAC,UAAU,QAAQ,GAAG;AAC/C,gBAAU,QAAQ,IAAI,SAAS,MAAM,UAAU,QAAQ,GAAG,UAAU,QAAQ,SAAS,gBAAgB;AAAA,IACvG;AAAA,EACF;AAEA,WAAS,OAAO,GAAG,OAAO,UAAU,EAAE,MAAM;AAC1C,UAAM,WAAW,SAAS,IAAI;AAC9B,UAAM,WAAW,SAAS,IAAI;AAC9B,QAAI,UAAU,QAAQ,KAAK,CAAC,UAAU,QAAQ,GAAG;AAC/C,gBAAU,QAAQ,IAAI,SAAS,MAAM,UAAU,QAAQ,GAAG,UAAU,QAAQ,SAAS,gBAAgB;AAAA,IACvG;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,4BAA4B,YAAY,OAAe,UAAkB,UAAkB,QAAQ;AAC1G,QAAM,CAAC,QAAQ,KAAK,IAAsB,OAAO;AACjD,MAAI,eAAe;AACnB,QAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB,CAAC;AACxD,QAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG,MAAM;AAC/D,WAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB,CAAC;AACxD,UAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG,KAAK;AAC9D,aAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAI,OAAO,IAAI,UAAU,UAAU,UAAU,IAAI,OAAO;AACtD,uBAAe;AACf;AAAA,MACF;AAAA,IACF;AACA,QAAI,CAAC;AAAc;AAAA,EACrB;AACA,SAAO;AACT;AAEO,SAAS,wBAAwBC,gBAAe,QAAQ;AAC7D,QAAM,CAAC,QAAQ,OAAO,YAAY,IAAI,OAAO;AAC7C,QAAM,QAAQ,IAAU,QAAQ,SAAS,QAAQ,cAAc,CAAC,EAAE,MAAM,MAAM,KAAK;AACnF,WAAS,WAAW,GAAG,WAAW,QAAQ,EAAE,UAAU;AACpD,aAAS,WAAW,GAAG,WAAW,OAAO,EAAE,UAAU;AACnD,eAAS,aAAa,GAAG,aAAa,cAAc,EAAE,YAAY;AAChE,cAAM,QAAQ,OAAO,IAAI,UAAU,UAAU,UAAU;AAEvD,YAAI,QAAQA;AAAe;AAE3B,YAAI,4BAA4B,YAAY,OAAO,UAAU,UAAU,MAAM;AAAG,gBAAM,QAAQ,EAAE,OAAO,MAAM,EAAE,UAAU,UAAU,IAAI,WAAW,EAAE,CAAC;AAAA,MACvJ;AAAA,IACF;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,aAAa,OAAO,EAAE,GAAG,GAAAC,GAAE,GAAG,YAAY;AACjD,SAAO,MAAM,KAAK,CAAC,EAAE,UAAU,MAAM;AAxHvC,QAAAC;AAyHI,UAAM,yBAAwBA,MAAA,UAAU,UAAU,MAApB,gBAAAA,IAAuB;AACrD,QAAI,CAAC;AAAuB,aAAO;AACnC,WAAa,gBAAgBD,IAAG,GAAG,sBAAsB,GAAG,sBAAsB,CAAC,KAAK;AAAA,EAC1F,CAAC;AACH;AAEA,SAAS,iBAAiB,eAAe,WAAW;AAClD,QAAM,8BAA8B,UAAU,OAAO,CAAC,QAAQ,EAAE,UAAU,MAAM,GAAG,eAAe;AAChG,QAAI,CAAC,aAAa,eAAe,UAAU,UAAU;AAAG,gBAAU;AAClE,WAAO;AAAA,EACT,GAAG,CAAG;AACN,SAAO,8BAA8B,UAAU;AACjD;AAEO,SAAS,OAAO,SAAS,QAAQ,kBAAkB,kBAAkB,aAAaD,gBAAe;AACtG,QAAM,QAAkD,CAAC;AACzD,QAAM,QAAQ,wBAAwBA,gBAAe,MAAM;AAE3D,SAAO,MAAM,SAAS,eAAe,CAAC,MAAM,MAAM,GAAG;AAEnD,UAAM,OAAO,MAAM,QAAQ;AAG3B,UAAM,kBAAwB,eAAe,KAAK,MAAM,cAAc,OAAO;AAE7E,QAAI,aAAa,OAAO,iBAAiB,KAAK,KAAK,EAAE;AAAG;AAExD,QAAI,YAAY,WAAW,MAAM,QAAQ,SAAS,kBAAkB,gBAAgB;AACpF,gBAAY,UAAU,OAAO,CAAC,MAAM,EAAE,QAAQA,cAAa;AAC3D,UAAM,QAAQ,iBAAiB,OAAO,SAAS;AAC/C,UAAM,MAAY,eAAe,SAAS;AAC1C,QAAI,QAAQA;AAAe,YAAM,KAAK,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI,IAAI,CAAC;AAAA,EAChG;AACA,SAAO;AACT;AAEA,eAAsBG,UAAQ,OAAiBC,SAAuC;AAIpF,MAAI,EAACR,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,MAAS,GAAK,MAAM;AACxB,QAAI,CAACA,QAAM,OAAO,CAAC,EAAE;AAAO,aAAO,CAAC;AACpC,UAAM,UAAa,GAAM,eAAe,OAAO,CAACA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AACnG,UAAM,aAAgB,GAAO,GAAO,GAAK,SAAS,SAAS,GAAG,KAAK,GAAG,CAAG;AACzE,UAAM,UAAoBA,QAAM,QAAQ,YAAY,cAAc;AAClE,UAAM,YAAY,QAAQ,IAAI,CAACK,OAAS,GAAQA,IAAG,CAAC,CAAC,CAAC,CAAC;AACvD,cAAU,CAAC,IAAO,GAAQ,UAAU,CAAC,CAAC;AACtC,WAAO;AAAA,EACT,CAAC;AAED,QAAM,UAAU,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,WAAmB,OAAO,OAAO,CAAC,CAAC;AAC9E,aAAWI,OAAK;AAAK,IAAG,GAAQA,GAAC;AAEjC,QAAM,UAAU,OAAO,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAGD,QAAO,KAAK,aAAaA,QAAO,KAAK,aAAa;AACzH,MAAI,CAACR,QAAM,OAAO,CAAC,EAAE;AAAO,WAAO,CAAC;AACpC,QAAM,SAAe,WAAW,SAAS,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,GAAG,CAACA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAC/H,SAAO;AACT;AAEA,eAAsBU,OAAKF,SAAqC;AAC9D,MAAI,CAACR,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUQ,QAAO,KAAK,SAAS;AAAA,WAC/DA,QAAO;AAAO,QAAI,iBAAiBR,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;;;AC1KA,IAAIW;AAGJ,IAAMC,eAAc,CAAC,OAAO,OAAO,OAAO,OAAO,OAAO,KAAK;AAC7D,IAAM,IAA4B,CAAC;AACnC,IAAI,QAAQ;AAEZ,SAASC,MAAKC,SAAgB;AAC5B,EAAG,GAAQ,CAAC,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,gBAAgB,CAAC;AAC3D,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,UAAQA,QAAO,aAAa,SAAS;AACrC,IAAE,mBAAsB,GAAO,KAAK;AACtC;AAEA,eAAsBC,OAAKD,SAAqC;AAC9D,MAAI,CAACH,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUG,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBH,QAAM,UAAU,CAAC;AAC7D,EAAAE,MAAKC,OAAM;AACX,SAAOH;AACT;AAEA,IAAM,YAAY,CAAC,MAAyB,GAAK,MAAM;AACrD,QAAM,UAAa,GAAQ,GAAI,CAAC,CAAC,CAAE;AACnC,QAAM,MAAS,GAAI,SAAS,UAAU,KAAK;AAC3C,QAAM,OAAU,GAAK,KAAK,OAAO;AACjC,SAAO;AACT,CAAC;AAED,SAAS,QAAQ,KAAoB,KAA4B;AAC/D,QAAMK,OAAM,MACR,UAAU,GAAG,IACV,GAAK,CAAC,IAAK,MAAM,CAAC,KAAK,GAAG,IAAK,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACrE,QAAM,IAAI,MACN,UAAU,GAAG,IACV,GAAK,CAAC,IAAK,MAAM,CAAC,KAAK,GAAG,IAAK,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACrE,QAAM,OAAU,GAAO,CAACA,MAAK,CAAC,GAAG,EAAE;AACnC,EAAG,GAAQ,CAACA,MAAK,CAAC,CAAC;AACnB,SAAO;AACT;AAEA,SAAS,SAAS,OAAuB;AACvC,SAAU,GAAK,MAAM;AACnB,UAAM,IAAuC,CAAC;AAC9C,MAAE,UAAa,GAAQ,OAAO,EAAE;AAChC,MAAE,SAAY,GAAO,EAAE,SAAS,CAAC;AACjC,MAAE,QAAW,GAAM,EAAE,QAAQ,GAAG,CAAC;AACjC,MAAE,QAAW,GAAO,EAAE,OAAO,CAAC;AAC9B,MAAE,UAAa,GAAQ,EAAE,OAAO,CAAC,CAAC,CAAC;AACnC,MAAE,SAAY,GAAW,EAAE,SAAS,EAAE;AACtC,MAAE,MAAS,GAAI,EAAE,QAAQ,CAAC;AAC1B,MAAE,MAAS,GAAI,EAAE,KAAK,KAAK;AAC3B,MAAE,OAAU,GAAK,EAAE,KAAK,OAAO;AAC/B,MAAE,OAAU,GAAK,EAAE,MAAM,CAAC,GAAG,GAAG,CAAC,CAAC;AAClC,MAAE,QAAW,GAAK,CAAE,EAAE,KAAgB,MAAM,CAAC,KAAK,GAAI,EAAE,KAAgB,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACvG,WAAU,GAAO,CAAC,EAAE,MAAM,EAAE,KAAK,GAAG,EAAE;AAAA,EACxC,CAAC;AACH;AAEA,eAAsBC,UAAQ,OAAiBH,SAAwC;AACrF,MAAI,CAACH;AAAO,IAAAA,UAAQ,MAAMI,OAAKD,OAAM;AACrC,MAAI,EAACH,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AAEjC,IAAE,MAAS,GAAI,OAAO,GAAG;AACzB,MAAI,UAAUG,QAAO,aAAa;AAAO,IAAAD,MAAKC,OAAM;AACpD,QAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,IAAI,MAAMH,QAAM,aAAa,GAAGC,YAAW;AAC9E,MAAI;AACJ,UAAQE,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,aAAO,QAAQ,KAAK,GAAG;AACvB;AAAA,IACF,KAAK;AACH,aAAO,QAAQ,MAAM,GAAG;AACxB;AAAA,IACF,KAAK;AACH,aAAO,QAAQ,KAAK,IAAI;AACxB;AAAA,IACF,KAAK;AACH,aAAO,SAAS,GAAG;AACnB;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,EAAG,GAAQ,CAAC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,GAAG,CAAC;AACxD,GAAC,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,GAAG,IAAI,CAAC,KAAK,KAAK,KAAK,GAAG;AAClD,SAAO;AACT;;;ACxFA,IAAII;AAEJ,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACF,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUE,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBF,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBG,UAAQ,OAAiBD,SAAwC;AAvBvF,MAAAE;AAwBE,MAAI,CAACJ;AAAO,IAAAA,UAAQ,MAAMC,OAAKC,OAAM;AACrC,MAAI,EAACF,WAAA,gBAAAA,QAAQ,gBAAe,GAACI,MAAAJ,WAAA,gBAAAA,QAAO,WAAP,gBAAAI,IAAgB,GAAG;AAAO,WAAO;AAC9D,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAACL,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,GAAGA,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AAC7J,EAAAK,IAAE,OAAU,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACzC,EAAAA,IAAE,MAAML,QAAM,QAAQK,IAAE,IAAI;AAC5B,EAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK,CAAC,CAAC,CAAC;AACjC,EAAAA,IAAE,QAAW,GAAM,eAAeA,IAAE,SAAqB,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AACnG,EAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO,UAAU,KAAK;AACvC,MAAI;AACJ,UAAQH,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,MAAAG,IAAE,QAAW,GAAQ,KAAK;AAC1B,MAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,OAAOA,IAAE,GAAG,GAAG,EAAE;AACzC,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF,KAAK;AACH,aAAU,GAAKA,IAAE,KAAK,OAAO;AAC7B;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;APbO,SAAS,cAAc,UAAwBC,SAA0B,MAAgC;AAnChH,MAAAC,KAAAC;AAoCE,MAAI,CAACF;AAAO,WAAO;AACnB,MAAI,GAACC,MAAA,qCAAU,WAAV,gBAAAA,IAAkB;AAAgB,WAAO;AAC9C,QAAM,YAAY,CAAC,SAAS,eAAe,QAAQ,OAAO,WAAW,OAAO,OAAO,OAAO,KAAK;AAC/F,QAAM,YAAY,CAAC,WAAW,oBAAoB,UAAU,UAAU,SAAS,SAAS,SAAS,aAAa;AAC9G,QAAM,MAAgB,CAAC;AACvB,QAAM,UAAoB,CAAC;AAE3B,QAAM,MAAMD,QAAM,UAAU;AAC5B,QAAM,WAAWA,QAAM,UAAU;AACjC,OAAIE,MAAA,qCAAU,UAAV,gBAAAA,IAAiB,OAAO;AAC1B,eAAW,UAAU,OAAO,OAAO,SAAS,MAAM,KAAK,GAAG;AACxD,YAAM,KAAM,OAAc,GAAG,YAAY;AACzC,UAAI,CAAC,IAAI,SAAS,EAAE;AAAG,YAAI,KAAK,EAAE;AAAA,IACpC;AAAA,EACF,OAAO;AACL,QAAI,CAAC,YAAY,SAAS,OAAO,OAAO;AACtC,UAAI,oBAAoB,IAAI;AAAA,IAC9B;AAAA,EACF;AACA,aAAW,MAAM,KAAK;AACpB,QAAI,CAAC,UAAU,SAAS,EAAE,KACrB,CAAC,UAAU,SAAS,EAAE,KACtB,CAAC,SAAS,IAAI,QAAQ,SAAS,EAAE,KACjC,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,KAAK,EAAE,CAAC,KAClD,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,UAAU,EAAE,CAAC,KACvD,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,MAAM,EAAE,CAAC,GAAG;AACzD,cAAQ,KAAK,EAAE;AAAA,IACjB;AAAA,EACF;AACA,MAAI,SAAS,OAAO,SAAS,QAAQ,SAAS;AAAG,QAAI,4BAA4B,MAAM,OAAO;AAC9F,SAAO,QAAQ,SAAS,IAAI,EAAE,MAAM,SAAS,KAAK,IAAI,IAAI;AAC5D;AAqBO,IAAM,SAAN,MAAa;AAAA,EAIlB,YAAY,iBAAwB;AAHpC,wBAAQ;AACR,kCAA4C,CAAC;AAG3C,SAAK,SAAS,CAAC;AACf,SAAK,WAAW;AAAA,EAClB;AAAA,EAEA,QAAoB;AAClB,QAAI,wBAAwB;AAC5B,QAAI,mBAAmB;AACvB,QAAI,mBAAmB;AACvB,eAAW,KAAK,OAAO,OAAO,UAAU,GAAG;AACzC,+BAAyB,EAAE;AAC3B,0BAAoB,EAAE;AACtB,0BAAoB,EAAE;AAAA,IACxB;AACA,UAAM,mBAAmB,mBAAmB,IAAI,mBAAmB,mBAAmB;AACtF,WAAO;AAAA,MACL,iBAAiB,OAAO,OAAO,UAAU,EAAE;AAAA,MAC3C,kBAAkB,OAAO,KAAK,KAAK,MAAM,EAAE;AAAA,MAC3C;AAAA,MACA;AAAA,MACA;AAAA,MACA;AAAA,MACA,YAAY,OAAO,OAAO,UAAU;AAAA,IACtC;AAAA,EACF;AAAA,EAEA,QAAc;AACZ,eAAWF,WAAS,OAAO,KAAK,KAAK,MAAM;AAAG,WAAK,OAAOA,OAAK,IAAI;AAAA,EACrE;AAAA,EAEA,MAAM,KAAK,UAAiC;AA1H9C,QAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC;AA2HI,QAAI,IAAI;AAAS,WAAK,MAAM;AAC5B,QAAI;AAAU,WAAK,WAAW;AAC9B,UAAM,IAA6D,CAAC;AAEpE,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,YAAuBC,MAAK,KAAK,SAAS,MAAM,IAAI;AACrH,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,aAAWvB,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,YAAuBuB,MAAK,KAAK,SAAS,MAAM,IAAI;AACrK,MAAE,WAAY,KAAK,SAAS,OAAO,KAAK,aAAWtB,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,YAAW,CAAC,KAAK,OAAO,WAAqBsB,MAAK,KAAK,SAAS,MAAM,IAAI;AACjK,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,aAAWrB,MAAA,KAAK,SAAS,OAAO,KAAK,gBAA1B,gBAAAA,IAAuC,YAAW,CAAC,KAAK,OAAO,UAAmBqB,MAAK,KAAK,SAAS,MAAM,IAAI;AACjK,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,aAAWpB,MAAA,KAAK,SAAS,OAAO,KAAK,YAA1B,gBAAAA,IAAmC,YAAW,CAAC,KAAK,OAAO,UAAmBoB,MAAK,KAAK,SAAS,MAAM,IAAI;AAC7J,MAAE,OAAQ,KAAK,SAAS,OAAO,KAAK,aAAW,UAAK,SAAS,OAAO,KAAK,SAA1B,mBAAgC,YAAW,GAACnB,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,OAAamB,MAAK,KAAK,SAAS,MAAM,IAAI;AAClM,MAAE,WAAY,KAAK,SAAS,OAAO,KAAK,aAAWlB,MAAA,KAAK,SAAS,OAAO,KAAK,SAA1B,gBAAAA,IAAgC,YAAY,CAAC,KAAK,OAAO,WAAsBkB,MAAK,KAAK,SAAS,MAAM,IAAI;AAE/J,MAAE,OAAQ,KAAK,SAAS,OAAO,KAAK,aAAWjB,MAAA,KAAK,SAAS,OAAO,KAAK,MAAM,MAAhC,gBAAAA,IAAmC,YAAW,CAAC,KAAK,OAAO,OAAaiB,OAAK,KAAK,SAAS,MAAM,IAAI;AACpJ,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,aAAWhB,MAAA,KAAK,SAAS,OAAO,KAAK,QAAQ,MAAlC,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,YAAuBgB,OAAK,KAAK,SAAS,MAAM,IAAI;AACrK,MAAE,eAAgB,KAAK,SAAS,OAAO,KAAK,aAAWf,MAAA,KAAK,SAAS,OAAO,KAAK,QAAQ,MAAlC,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,eAA6Be,OAAK,KAAK,SAAS,MAAM,IAAI;AAC9K,MAAE,gBAAiB,KAAK,SAAS,OAAO,KAAK,aAAW,UAAK,SAAS,OAAO,KAAK,eAAe,MAAzC,mBAA4C,YAAW,CAAC,KAAK,OAAO,gBAA+BA,OAAK,KAAK,SAAS,MAAM,IAAI;AACxL,MAAE,cAAe,KAAK,SAAS,OAAO,KAAK,aAAWd,MAAA,KAAK,SAAS,OAAO,KAAK,aAAa,MAAvC,gBAAAA,IAA0C,YAAW,CAAC,KAAK,OAAO,cAA2Bc,OAAK,KAAK,SAAS,MAAM,IAAI;AAEhL,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,eAAab,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,gBAA0B,SAAS,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,kBAAmB,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,mBAAmB,KAAK,SAAS,OAAO,KAAK,UAAU,KAAK,KAAK,SAAS,OAAO,KAAK,UAAU,EAAE,YAAuB,WAAW,KAAK,SAAS,MAAM,IAAI;AACnO,MAAE,gBAAiB,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,mBAAiBC,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,oBAAkCY,MAAK,KAAK,SAAS,MAAM,IAAI;AACnM,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,aAAWX,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,cAAsBW,OAAK,KAAK,SAAS,MAAM,IAAI;AAC3K,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,aAAWV,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,cAAsBU,OAAK,KAAK,SAAS,MAAM,IAAI;AAE3K,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,eAAaR,OAAAD,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,gBAAAC,IAA+C,SAAS,gBAA0BS,YAAW,KAAK,SAAS,MAAM,IAAI;AACnM,MAAE,eAAgB,KAAK,SAAS,OAAO,KAAK,WAAW,KAAK,SAAS,OAAO,KAAK,aAAa,CAAC,KAAK,OAAO,kBAAgB,MAAAR,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,mBAA+C,SAAS,gBAA0B,aAAa,KAAK,SAAS,MAAM,IAAI;AAClP,SAAIE,OAAAD,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,gBAAAC,IAA+C,SAAS;AAAe,OAAC,EAAE,UAAU,EAAE,YAAY,IAAK,CAAC,KAAK,OAAO,WAAY,MAAeK,OAAK,KAAK,SAAS,MAAM,IAAI,CAAC,MAAM,IAAI;AAE3L,MAAE,YAAa,KAAK,SAAS,OAAO,OAAO,WAAW,CAAC,KAAK,OAAO,eAAaJ,MAAA,KAAK,SAAS,OAAO,OAAO,cAA5B,gBAAAA,IAAuC,SAAS,gBAA0B,KAAK,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,UAAW,KAAK,SAAS,OAAO,OAAO,WAAW,CAAC,KAAK,OAAO,aAAWC,MAAA,KAAK,SAAS,OAAO,OAAO,cAA5B,gBAAAA,IAAuC,SAAS,cAAsBG,OAAK,KAAK,SAAS,MAAM,IAAI;AAE/K,MAAE,SAAU,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,YAAU,UAAK,SAAS,OAAO,aAAa,cAAlC,mBAA6C,SAAS,aAAoBA,OAAK,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,OAAQ,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,UAAQF,MAAA,KAAK,SAAS,OAAO,aAAa,cAAlC,gBAAAA,IAA6C,SAAS,WAAgBE,OAAK,KAAK,SAAS,MAAM,IAAI;AAC/K,MAAE,MAAO,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,SAAOD,MAAA,KAAK,SAAS,OAAO,aAAa,cAAlC,gBAAAA,IAA6C,SAAS,UAAcC,OAAK,KAAK,SAAS,MAAM,IAAI;AAG3K,eAAW,CAACxB,SAAO,OAAO,KAAK,OAAO,QAAQ,CAAC,GAAG;AAChD,UAAI,mCAAU;AAAS,gBAAQ,MAAM,EAAE,CAAC,QAAQ,KAAK,OAAOA,OAAK,IAAI,GAAG;AAAA,IAC1E;AACA,UAAM,QAAQ,IAAI,OAAO,OAAO,CAAC,CAAC;AAAA,EACpC;AAAA,EAEA,OAAO;AACL,UAAM0B,UAAS,OAAO,KAAK,KAAK,MAAM,EAAE,IAAI,CAAC1B,YAAO;AAtKxD,UAAAC;AAsK4D,eAAE,MAAMD,SAAO,QAAS,KAAK,OAAOA,OAAK,MAAM,MAAO,MAAM,GAAG,KAAK,KAAK,OAAOA,OAAK,KAAIC,MAAA,KAAK,OAAOD,OAAK,MAAjB,gBAAAC,IAAqB,cAAc,KAAK;AAAA,KAAE;AAC3L,eAAW,KAAKyB,SAAQ;AACtB,YAAM,QAAQ,OAAO,KAAK,UAAU,EAAE,KAAK,CAAC,MAAM,EAAE,WAAW,EAAE,IAAI,CAAC;AACtE,UAAI,CAAC;AAAO;AACZ,QAAE,OAAO,WAAW,KAAK,EAAE;AAC3B,QAAE,MAAM,WAAW,KAAK,EAAE;AAAA,IAC5B;AACA,WAAOA;AAAA,EACT;AAAA,EAEA,SAAS;AACP,UAAM,OAAO,KAAK,KAAK;AACvB,UAAM,SAAS,KAAK,OAAO,CAAC1B,YAAUA,QAAM,MAAM,EAAE,IAAI,CAACA,YAAUA,QAAM,IAAI;AAC7E,WAAO;AAAA,EACT;AAAA,EAEA,WAAkD;AAChD,UAAM,UAAuB,CAAC;AAC9B,eAAW,WAAW,OAAO,KAAK,KAAK,MAAM,GAAG;AAC9C,YAAMA,UAA2B,KAAK,OAAO,OAAuB;AACpE,UAAI,CAACA;AAAO;AACZ,YAAM,MAAM,cAAc,KAAK,UAAUA,SAAO,OAAO;AACvD,UAAI;AAAK,gBAAQ,KAAK,GAAG;AAAA,IAC3B;AACA,WAAO;AAAA,EACT;AACF;;;AQ1LO,SAAS2B,MAAK,OAAqB,QAAsB,OAAqB,UAA2B,OAA6C;AAN7J,MAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC;AAOE,MAAIC,MAAK;AACT,QAAM,UAA0B,CAAC;AACjC,aAAWC,SAAQ,OAAO;AACxB,UAAMC,UAAuB,EAAE,IAAIF,OAAM,MAAAC,OAAM,MAAM,MAAM,OAAO,EAAE,MAAM,MAAM,OAAO,KAAK,GAAG,UAAU,CAAC,GAAG,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,EAAE;AAC/H,eAAWE,SAAQ,QAAQ;AACzB,UAAIF,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,KACvBF,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,KACtCF,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,KACtCF,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,GAAG;AAC1D,QAAAD,QAAO,OAAOC;AAAA,MAChB;AAAA,IACF;AACA,QAAID,QAAO,MAAM;AACf,iBAAWE,SAAQ,OAAO;AACxB,YAAIA,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC5CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,KAClEE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC7CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,GAAG;AACxE,cAAIA,QAAO;AAAO,YAAAA,QAAO,MAAM,OAAOE;AAAA,QACxC;AACA,YAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,KACnDE,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC/BE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC7CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,GAAG;AACxE,cAAIA,QAAO;AAAO,YAAAA,QAAO,MAAM,QAAQE;AAAA,QACzC;AAAA,MACF;AAAA,IACF;AACA,eAAWC,YAAW,UAAU;AAC9B,UAAIA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,MAAMJ,MAAK;AAAI,QAAAC,QAAO,SAAS,KAAKG,QAAO;AAAA,eACrFA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,MAAMJ,MAAK;AAAI,QAAAC,QAAO,SAAS,KAAKG,QAAO;AAAA,eAC1FA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAMV,MAAAO,QAAO,SAAP,gBAAAP,IAAa;AAAI,QAAAO,QAAO,SAAS,KAAKG,QAAO;AAAA,eAClGA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAMT,MAAAM,QAAO,MAAM,SAAb,gBAAAN,IAAmB;AAAI,QAAAM,QAAO,SAAS,KAAKG,QAAO;AAAA,eACxGA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAMR,MAAAK,QAAO,MAAM,UAAb,gBAAAL,IAAoB;AAAI,QAAAK,QAAO,SAAS,KAAKG,QAAO;AAAA,IACpH;AAGA,UAAM,IAAc,CAAC;AACrB,UAAMC,KAAc,CAAC;AACrB,UAAM,YAAY,CAAC,QAAyB;AAC1C,UAAI,OAAO,IAAI,WAAW,GAAG;AAC3B,UAAE,KAAK,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAC9B,QAAAA,GAAE,KAAK,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAAA,MAChC;AAAA,IACF;AACA,cAAUJ,QAAO,KAAK,GAAG;AACzB,eAAUJ,MAAAI,QAAO,SAAP,gBAAAJ,IAAa,GAAG;AAC1B,eAAU,KAAAI,QAAO,MAAM,SAAb,mBAAmB,GAAG;AAChC,eAAUH,MAAAG,QAAO,MAAM,UAAb,gBAAAH,IAAoB,GAAG;AACjC,UAAM,OAAO,KAAK,IAAI,GAAG,CAAC;AAC1B,UAAM,OAAO,KAAK,IAAI,GAAGO,EAAC;AAC1B,IAAAJ,QAAO,MAAM,CAAC,MAAM,MAAM,KAAK,IAAI,GAAG,CAAC,IAAI,MAAM,KAAK,IAAI,GAAGI,EAAC,IAAI,IAAI;AAGtE,SAAI,+BAAQ,QAAM,+BAAQ;AAAI,MAAAJ,QAAO,SAAS,CAACA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,CAAC;AAErJ,YAAQ,KAAKA,OAAM;AAAA,EACrB;AACA,SAAO;AACT;;;AC7DO,IAAMK,QAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA0Jb,IAAMC,QAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;;;AChJpB,eAAe,aAAa,UAA8C;AACxE,QAAM,YAAY,CAAC,QAAgB,OAAO,+BAA+B,MAAM,QAAQ,eAAe,QAAQ,EAAE,KAAK,CAACC,SAAQA,KAAI,KAAK,CAAC;AACxI,MAAI;AACJ,MAAI;AACJ,UAAQ,SAAS,OAAO,QAAQ;AAAA,IAC9B,KAAK;AAAQ,aAAO,MAAM,UAAiBC,KAAI;AAAG;AAAA,IAClD,KAAK;AAAA,IACL,KAAK;AAAQ,aAAO,MAAM,UAAiBC,KAAI;AAAG;AAAA,IAClD;AAAS,aAAO;AAAA,EAClB;AACA,MAAI,MAAM;AACR,UAAM,SAAS,MAAM,kBAAkB,IAAI;AAC3C,UAAM,MAAM,SAAS,OAAO,QAAQ,SAAS,MAAM;AACnD,WAAO,MAAM;AAAA,EACf;AACA,SAAO;AACT;AAEA,eAAe,aAAa,UAA8C;AACxE,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,QAAI;AAEJ,YAAQ,SAAS,OAAO,QAAQ;AAAA,MAC9B,KAAK;AAEH,cAAM,4BAAmCD;AACzC;AAAA,MACF,KAAK;AAAA,MACL,KAAK;AAEH,cAAM,4BAAmCC;AACzC;AAAA,MACF;AACE,cAAM;AAAA,IACV;AAEA,QAAI;AACJ,QAAI,OAAO,UAAU;AAAa,YAAM,IAAI,MAAM;AAAA,aAEzC,IAAI;AAAO,YAAM,IAAI,IAAI,MAAM;AAAA,SACnC;AACH,cAAQ,MAAS;AACjB;AAAA,IACF;AACA,QAAI,SAAS,YAAY;AACvB,YAAMC,UAAe,OAAO,IAAI,cAAc,IAAI,aAAa;AAC/D,UAAI,CAACA,SAAQ;AACX,YAAI,0BAA0B;AAC9B,gBAAQ,MAAS;AAAA,MACnB,OAAO;AACL,cAAM,MAAMA,QAAO,WAAW,IAAI;AAClC,YAAI;AAAK,cAAI,UAAU,KAAK,GAAG,CAAC;AAEhC,cAAM,SAAS,MAAM,SAAS,MAAMA,SAAQ,IAAI;AAChD,cAAM,MAAM,OAAO,SAAS,MAAM,SAAS,OAAO,OAAO,QAAQ,SAAS,MAAM,IAAI;AACpF,gBAAQ,GAAG;AAAA,MACb;AAAA,IACF;AACA,QAAI;AAAK,UAAI,MAAM;AAAA;AACd,cAAQ,MAAS;AAAA,EACxB,CAAC;AACH;AAEA,eAAe,WAAW,UAA8C;AACtE,QAAMC,QAAO,CAAC,QAAgB,OAAO,KAAK,KAAK,QAAQ;AACvD,MAAI;AACJ,MAAI,SAAS,OAAO,WAAW;AAAQ,UAAMA,MAAYH,KAAI;AAAA;AACxD,UAAMG,MAAYF,KAAI;AAC3B,MAAI;AACJ,MAAK,UAAU,oBAAW,IAAW,MAAM,cAAe;AAExD,UAAM,OAAkB,SAAQ,WAAW,GAAG;AAC9C,UAAM,WAAsB,GAAW,MAAM,CAAC;AAC9C,aAAS,GAAG,QAAQ,IAAI;AAExB,UAAM,MAAM,SAAS,OAAO,UAAU,SAAS,MAAM;AACrD,aAAS,GAAG,QAAQ,QAAQ;AAAA,EAC9B,OAAO;AACL,QAAI,SAAS,OAAO;AAAO,UAAI,6BAA6B;AAAA,EAQ9D;AAEA,SAAO;AACT;AAEA,eAAe,aAAa,UAAiB;AAC3C,MAAI;AACJ,MAAI,OAAO,sBAAsB;AAAY,UAAM,MAAM,aAAa,QAAQ;AAAA,WACpE,OAAO,UAAU,eAAiB,IAAI,WAAW;AAAY,UAAM,MAAM,aAAa,QAAQ;AAAA;AACnG,UAAM,MAAM,WAAW,QAAQ;AACpC,SAAO;AACT;AAGA,eAAsB,WAAW,UAAiB;AAnHlD,MAAAG,KAAAC,KAAAC,KAAAC;AAqHE,MAAI,CAAI,EAAI,EAAE,aAAa;AAAqB;AAChD,QAAM,cAAiB,IAAW;AAClC,QAAM,eAAkB,IAAQ;AAChC,MAAK,gBAAgB,WAAW,gBAAgB,aAAc,EAAC,6CAAe,4BAA2B;AAEvG;AAAA,EACF;AACA,EAAG,EAAI,EAAE,IAAI,uBAAuB,IAAI;AACxC,QAAM,kBAAqB,GAAO,EAAE,MAAM;AAC1C,QAAM,iBAA2B,CAAC;AAClC,aAAW,CAAC,WAAWC,OAAK,KAAK,OAAO,QAAQ,SAAS,OAAO,MAAM,GAAG;AACvE,QAAI,CAACA;AAAO;AACZ,UAAM,SAASA,WAAA,gBAAAA,QAAO,qBAAkBH,OAAAD,MAAAI,WAAA,gBAAAA,QAAO,WAAP,gBAAAJ,IAAgB,OAAhB,gBAAAC,IAAoB,SAAS,CAAC,GAAGG,QAAM,OAAO,CAAC,EAAE,KAAK,IAAI,CAAC,GAAG,IAAI,IAAI,CAAC;AAC/G,UAAM,SAAmBA,WAAA,gBAAAA,QAAO,qBAAkBD,OAAAD,MAAAE,WAAA,gBAAAA,QAAO,WAAP,gBAAAF,IAAgB,OAAhB,gBAAAC,IAAoB,SAASC,QAAM,OAAO,CAAC,EAAE,QAAQ;AACvG,aAAS,MAAM,GAAG,MAAM,MAAM,QAAQ,OAAO;AAC3C,UAAI,MAAM,GAAG,MAAM;AAAI,cAAM,GAAG,IAAI,QAAQ,IAAI,IAAI;AAAA,IACtD;AACA,UAAM,SAAY,GAAM,OAAO,KAAK;AACpC,QAAI;AACF,YAAM,MAAMA,QAAM,QAAQ,MAAM;AAChC,qBAAe,KAAK,SAAS;AAC7B,UAAI,MAAM,QAAQ,GAAG;AAAG,YAAI,QAAQ,CAACC,QAAS,GAAQA,GAAC,CAAC;AAAA;AACnD,QAAG,GAAQ,GAAG;AAAA,IACrB,SAAQ,GAAN;AACA,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB,SAAS;AAAA,IACjE;AACA,IAAG,GAAQ,MAAM;AAAA,EACnB;AACA,QAAM,UAAU,MAAM,aAAa,6BAA6B,EAAE;AAClE,eAAa,qBAAqB,EAAE;AACpC,MAAI,SAAS,OAAO;AAAO,QAAI,iBAAiB,EAAE,QAAQ,gBAAgB,SAAS,QAAQ,OAAO,CAAC;AACnG,EAAG,EAAI,EAAE,IAAI,uBAAuB,KAAK;AACzC,QAAM,gBAAmB,GAAO,EAAE,MAAM;AACxC,MAAK,gBAAgB,kBAAmB;AAAG,QAAI,gBAAgB,gBAAgB,eAAe;AAChG;AAOA,eAAsB,OAAO,UAAiB,YAA2D;AACvG,QAAc,MAAM,UAAU,KAAK;AACnC,QAAM,KAAK,IAAI;AACf,WAAS,QAAQ;AACjB,MAAI;AAAY,aAAS,SAAS,UAAU,SAAS,QAAQ,UAAU;AACvE,MAAI,CAAC,SAAS,OAAO,UAAU,SAAS,OAAO,OAAO,WAAW,KAAK,SAAS,OAAO,WAAW,QAAQ;AACvG,WAAO,MAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,OAAO,KAAK;AAC3B,UAAM,WAAW,QAAQ;AACzB,UAAM,MAAM,MAAM,aAAa,QAAQ;AACvC,UAAMC,MAAK,IAAI;AACf,QAAI,SAAS,OAAO;AAAO,UAAI,UAAU,SAAS,OAAO,QAAQ,KAAK,MAAMA,MAAK,EAAE,GAAG,IAAI;AAC1F,aAAS,KAAK,QAAQ;AACtB,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC/KA;AAyDO,IAAM,QAAN,MAAY;AAAA;AAAA;AAAA;AAAA;AAAA,EA6EjB,YAAY,YAA8B;AA3E1C;AAAA;AAKA;AAAA;AAAA;AAAA;AAKA;AAAA;AAAA;AAAA;AAMA;AAAA;AAAA;AAAA;AAAA;AAGA;AAAA;AAMA;AAAA;AAAA;AAAA;AAAA;AAGA;AAAA,+BAAW;AAQX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAAoB;AAOpB;AAAA;AAAA;AAAA;AAAA;AAAA,iCAAsB;AAMtB;AAAA;AAAA;AAAA;AAAA;AAWA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA;AACA;AAAA;AACA;AACA;AAqDA;AAAA,mCAAU,IAAI,QAAkB;AAC9B,UAAI,CAAC,mBAAK;AAAqB;AAC/B,YAAM,iBAAiB,KAAK,GAAG,OAAO,EAAE,MAAM;AAC9C,YAAM,kBAAkB,mBAAK;AAC7B,yBAAK,aAAc;AACnB,YAAM,SAAS,iBAAiB;AAChC,UAAI,WAAW;AAAG,YAAI,GAAG,KAAK,MAAM;AAAA,IACtC;AAGA;AAAA,gCAAU,CAAC,UAAgC;AACzC,UAAI,CAAC,mBAAK;AAAc,eAAO;AAC/B,UAAI,CAAC;AAAO,eAAO;AACnB,UAAI,KAAK,IAAI,QAAQ,EAAE,iBAAoB;AAAS,eAAO;AAC3D,UAAI;AACF,aAAK,GAAG,WAAW;AAAA,MACrB,SAAQ,GAAN;AACA,eAAO;AAAA,MACT;AACA,aAAO;AAAA,IACT;AA6EA;AAAA;AAAA;AAAA,wBAAO,UAAS,IAAI,OAAO;AAoC3B;AAAA,gCAAO,CAAC,UAAkB;AA1T5B,UAAAC;AA2TI,WAAIA,MAAA,KAAK,WAAL,gBAAAA,IAAa;AAAe,aAAK,OAAO,cAAc,IAAI,MAAM,KAAK,CAAC;AAAA,IAC5E;AAuOA;AAAA,+BAAkC,CAAC;AAvZjC,UAAM,aAAgB,IAAQ,QAAW,IAAc,QAAQ,SAAS,EAAE;AAC1E,WAAS,WAAW,8DAA8D;AAClF,WAAS,gBAAgB,IAAI,UAAU,eAAe;AACtD,SAAK,UAAc;AACnB,WAAO,eAAe,MAAM,WAAW,EAAE,OAAW,QAAQ,CAAC;AAC7D,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU,MAAQ,CAAC;AACjD,WAAO,KAAK,KAAK,MAAM;AACvB,SAAK,OAAO,cAAc,OAAO,cAAc;AAC/C,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,wBAAoB,KAAK,MAAM;AAC/B,SAAK,KAAK;AACV,SAAK,QAAQ;AACb,uBAAK,aAAc;AACnB,uBAAK,qBAAsB;AAC3B,uBAAK,cAAe;AACpB,SAAK,cAAc,CAAC;AACpB,SAAK,SAAU,OAAO,gBAAgB,cAAe,IAAI,YAAY,IAAI;AAEzE,SAAK,SAAS,IAAW,OAAO,IAAI;AAEpC,IAAKC,MAAK;AACV,SAAK,SAAS,MAAM;AAEpB,SAAK,UAAU,EAAE,QAAQ,MAAM,QAAQ,KAAK;AAE5C,SAAK,oBAA6B;AAClC,SAAK,YAAqB;AAE1B,IAAO,cAAc,MAAM,MAAM,EAAE;AAEnC,SAAK,KAAK,QAAQ;AAClB,QAAI,KAAK,OAAO,SAAS,KAAK,IAAI;AAAS,UAAI,YAAY,KAAK,SAAS;AACzE,QAAI,KAAK,OAAO;AAAO,UAAI,iBAAiB,KAAK,GAAG,QAAQ,WAAW,GAAG;AAC1E,UAAM,UAAU,KAAK,MAAM,KAAK,UAAU,KAAK,GAAG,CAAC;AACnD,WAAO,QAAQ;AACf,WAAO,QAAQ;AACf,WAAO,QAAQ;AACf,QAAI,KAAK,OAAO;AAAO,UAAI,gBAAgB,OAAO;AAAA,EACpD;AAAA;AAAA,EA0BA,QAAc;AACZ,UAAM,iBAAiB,KAAK,OAAO;AACnC,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU,MAAQ,CAAC;AACjD,SAAK,OAAO,UAAU;AACtB,IAAM,MAAM;AACZ,QAAI,UAAU;AAAA,EAChB;AAAA;AAAA,EAGA,SAAS,YAA8B;AACrC,UAAM,OAAO,SAAS,QAAU,cAAc,KAAK,MAAM;AACzD,QAAI,KAAK,WAAW;AAAG,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AACtE,WAAO;AAAA,EACT;AAAA;AAAA,EAGA,MAAc;AACZ,WAAO,IAAI;AAAA,EACb;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,OAAc,YAAqB,OAAO;AAC9C,WAAaC,SAAQ,OAAO,KAAK,QAAQ,SAAS;AAAA,EACpD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,aAAa,OAAc,YAAsD;AAhPzF,QAAAF,KAAAG,KAAAC;AAiPI,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,QAAI,CAAC,KAAK,OAAO,aAAa;AAAS,aAAO;AAC9C,UAAM,YAAY,MAAYF,SAAQ,OAAO,KAAK,MAAM;AACxD,QAAI,CAAC,UAAU;AAAQ,aAAO;AAC9B,QAAI,SAAwB;AAC5B,SAAIF,MAAA,KAAK,OAAO,aAAa,cAAzB,gBAAAA,IAAoC,SAAS;AAAQ,eAAS,MAAUK,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACjH,SAAIF,MAAA,KAAK,OAAO,aAAa,cAAzB,gBAAAA,IAAoC,SAAS;AAAS,eAAS,MAAWE,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACnH,SAAID,MAAA,KAAK,OAAO,aAAa,cAAzB,gBAAAA,IAAoC,SAAS;AAAW,eAAS,MAAaC,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACvH,IAAG,GAAQ,UAAU,MAAM;AAC3B,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASA,QAAQ,kBAA0B,mBAA4C;AAC5E,WAAa,QAAQ,KAAK,QAAQ,kBAAkB,iBAAiB;AAAA,EACvE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOA,MAAM,OAAsB;AAC1B,UAAc,MAAM,MAAM,IAAI;AAC9B,UAAM,KAAK,GAAG,MAAM;AACpB,IAAM,MAAM;AAAA,EACd;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYA,MAAM,KAAK,YAA6C;AACtD,SAAK,QAAQ;AACb,UAAM,YAAY,IAAI;AACtB,UAAMC,SAAQ,OAAO,OAAO,KAAK,OAAO,MAAM,EAAE,OAAO,CAACC,YAAUA,OAAK,EAAE;AACzE,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,QAAI,KAAK,IAAI,SAAS;AACpB,UAAI,CAAC,MAAc,MAAM,MAAM,KAAK;AAAG,YAAI,6BAA6B;AACxE,YAAS,IAAM;AACf,UAAI,KAAK,IAAI,SAAS;AACpB,YAAI,KAAK,OAAO;AAAO,cAAI,kBAAkB,KAAK,MAAM;AACxD,YAAI,KAAK,OAAO;AAAO,cAAI,aAAa,KAAK,GAAG,IAAI,KAAK;AAAA,MAC3D;AAAA,IACF;AAEA,UAAM,KAAK,OAAO,KAAK,IAAI;AAC3B,QAAI,KAAK,IAAI,WAAW,KAAK,OAAO;AAAO,UAAI,oBAAoB,KAAK,GAAG,OAAO,EAAE,MAAM,UAAU,SAAS,KAAK,GAAG,OAAO,EAAE,MAAM,YAAY,SAAS;AACzJ,SAAK,IAAI,UAAU;AAEnB,UAAM,SAAS,OAAO,OAAO,KAAK,OAAO,MAAM,EAAE,OAAO,CAACA,YAAUA,OAAK,EAAE;AAC1E,QAAI,WAAWD,QAAO;AACpB,WAAK,OAAO,SAAS;AACrB,WAAK,KAAK,MAAM;AAAA,IAClB;AAEA,UAAM,UAAU,KAAK,MAAM,IAAI,IAAI,SAAS;AAC5C,QAAI,WAAW,KAAK,YAAY,cAAc;AAAI,WAAK,YAAY,aAAa,KAAK,IAAI,WAAW,KAAK,YAAY,cAAc,KAAK,UAAU;AAAA,EACpJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAaA,KAAK,SAAiB,KAAK,QAAgB;AACzC,WAAmBE,MAAK,QAAQ,KAAK,MAAM;AAAA,EAC7C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,OAAO,YAA8B;AACzC,UAAM,KAAK,IAAI;AACf,UAAM,MAAM,MAAc,OAAO,MAAM,UAAU;AACjD,UAAMC,MAAK,IAAI;AACf,SAAK,YAAY,SAAS,KAAK,MAAMA,MAAK,EAAE;AAC5C,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA,EAMA,MAAM,QAAQ,OAAc,YAAyF;AAEnH,UAAM,UAAU,MAAM,KAAK,GAAG,QAAQ,MAAM,KAAK,OAAO,OAAO,UAAU,CAAC;AAC1E,UAAM,UAAkC,CAAC;AACzC,QAAI,QAAQ;AACZ,eAAW,UAAU,QAAQ,SAAS;AACpC,YAAMC,MAAK,OAAO,OAAO,YAAY,KAAK;AAC1C,UAAI,QAAQ,OAAO,IAAI;AAAG,gBAAQ,OAAO,IAAI,KAAKA;AAAA;AAC7C,gBAAQ,OAAO,IAAI,IAAIA;AAC5B,eAASA;AAAA,IACX;AACA,UAAM,YAA8D,CAAC;AACrE,WAAO,QAAQ,OAAO,EAAE,QAAQ,CAAC,QAAQ,UAAU,KAAK,EAAE,QAAQ,IAAI,CAAC,GAAG,MAAM,IAAI,CAAC,GAAwB,MAAM,EAAE,CAAC,CAAC;AACvH,eAAW,UAAU,WAAW;AAC9B,aAAO,OAAO,KAAK,MAAM,MAAO,OAAO,OAAO,KAAK,IAAI;AACvD,aAAO,OAAO,KAAK,MAAM,MAAO,OAAO,IAAI,IAAI;AAAA,IACjD;AACA,cAAU,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE,IAAI;AACxC,cAAU,SAAS;AACnB,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYA,MAAM,OAAO,OAAc,YAA+C;AAExE,SAAK,QAAQ;AACb,WAAO,IAAI,QAAQ,OAAO,YAAY;AA7X1C,UAAAV,KAAAG,KAAAC,KAAAO,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC;AA8XM,WAAK,QAAQ;AACb,UAAI;AAGJ,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAG/C,WAAK,QAAQ;AACb,YAAM,QAAQ,mBAAK,SAAL,WAAa;AAC3B,UAAI,OAAO;AACT,YAAI,OAAO,KAAK;AAChB,aAAK,KAAK,OAAO;AACjB,gBAAQ,MAAM,KAAK,CAAC;AAAA,MACtB;AAEA,YAAM,YAAY,IAAI;AAGtB,YAAM,KAAK,KAAK;AAEhB,kBAAY,IAAI;AAChB,WAAK,QAAQ;AACb,YAAM,MAAM,MAAYvB,SAAQ,OAAO,KAAK,MAAM;AAClD,WAAK,UAAU;AACf,WAAK,YAAY,eAAe,KAAK,IAAI,WAAW,KAAK,YAAY,gBAAgB,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACtJ,WAAK,QAAQ,YAAY;AAEzB,UAAI,CAAC,IAAI,QAAQ;AACf,YAAI,KAAK,OAAO;AAAO,cAAI,mCAAmC;AAC9D,aAAK,KAAK,OAAO;AACjB,gBAAQ,MAAM,mCAAmC,CAAC;AAClD;AAAA,MACF;AACA,WAAK,KAAK,OAAO;AAEjB,kBAAY,IAAI;AAChB,WAAK,OAAO,cAAc,MAAY,KAAK,KAAK,QAAQ,IAAI,MAAM;AAClE,WAAK,OAAO,OAAO,kBAAkB,KAAK,OAAO,OAAO,kBAAkB,UAAU,KAAK,OAAO;AAChG,UAAI,CAAC,KAAK,YAAY;AAAa,aAAK,YAAY,cAAc;AAClE,UAAI,CAAC,KAAK,YAAY;AAAc,aAAK,YAAY,eAAe;AACpE,MAAC,KAAK,YAAY;AAClB,UAAI,KAAK,OAAO;AAAa,aAAK,YAAY;AAC9C,WAAK,YAAY,aAAa,KAAK,IAAI,WAAW,KAAK,YAAY,cAAc,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAClJ,WAAK,QAAQ,gBAAgB;AAI7B,UAAI,UAA0D,CAAC;AAC/D,UAAI,UAA0D,CAAC;AAC/D,UAAI,UAA0D,CAAC;AAC/D,UAAI,YAAgE,CAAC;AAGrE,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,kBAAU,KAAK,OAAO,KAAK,UAAe,WAAW,MAAM,IAAI,MAAM,IAAI,CAAC;AAC1E,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,kBAAU,KAAK,OAAO,KAAK,UAAU,MAAW,WAAW,MAAM,IAAI,MAAM,IAAI,CAAC;AAChF,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AAEA,UAAI,KAAK,OAAO,UAAU,KAAK,OAAO,KAAK,gBAAgB,MAAM,KAAK,OAAO,KAAK,gBAAgB;AAAK,kBAAU,MAAM;AAGvH,WAAK,QAAQ,aAAa;AAC1B,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,EAAE,EAAE,CAAC,IAAI,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIF,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAkBK,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC5HF,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAoB,QAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBACrIC,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAwBC,SAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC7IM,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAkBN,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAC1I,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAI,UAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAcA,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAClIO,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAgB,QAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC3IC,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAoBR,SAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBACnJS,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAcT,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAChJ,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AACA,WAAK,QAAQ,WAAW;AAGxB,WAAK,QAAQ,aAAa;AAC1B,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,EAAE,EAAE,CAAC,IAAI,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIW,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAmBX,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC1IY,OAAA,UAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,gBAAAA,IAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAoBZ,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AACxJ,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAIc,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAed,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAChJgB,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAgBhB,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAC9J,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AACA,WAAK,QAAQ,WAAW;AAGxB,WAAK,QAAQ,eAAe;AAC5B,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIiB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAkBjB,UAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAAA,kBACnIkB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAoBlB,SAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AACrJ,YAAI,KAAK,YAAY;AAAQ,iBAAO,KAAK,YAAY;AAAA,MACvD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAImB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAcnB,UAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAAA,kBACzI,UAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAgBA,SAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAC3J,aAAK,YAAY,SAAS,KAAK,IAAI,WAAW,KAAK,YAAY,UAAU,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MAC5I;AACA,WAAK,QAAQ,aAAa;AAG1B,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO;AAAO,SAAC,SAAS,SAAS,SAAS,SAAS,IAAI,MAAM,QAAQ,IAAI,CAAC,SAAS,SAAS,SAAS,SAAS,CAAC;AAGxH,WAAK,QAAQ;AACb,UAAI,aAA8B,CAAC;AACnC,UAAI,KAAK,OAAO,QAAQ,SAAS;AAC/B,oBAAY,IAAI;AAChB,qBAAa,CAAC,GAAWqB,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,CAAC;AACpL,YAAI,CAAC,KAAK,OAAO;AAAO,eAAK,YAAY,UAAU,KAAK,IAAI,WAAW,KAAK,YAAY,WAAW,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,iBAC3J,KAAK,YAAY;AAAS,iBAAO,KAAK,YAAY;AAAA,MAC7D;AAEA,WAAK,YAAY,QAAQ,KAAK,IAAI,WAAW,KAAK,YAAY,SAAS,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACxI,YAAM,UAAQJ,MAAA,KAAK,QAAQ,WAAb,gBAAAA,IAAqB,UAAS,CAAC,GAAG,GAAG,GAAG,CAAC;AACvD,WAAK,SAAS;AAAA,QACZ,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,SAAS;AAAA,QACT,QAAQ;AAAA,QACR,aAAa,KAAK;AAAA,QAClB,QAAQ,KAAK,QAAQ;AAAA,QACrB,WAAW,KAAK,IAAI;AAAA,QACpB,OAAO;AAAA,QACP,OAAO,MAAM,CAAC;AAAA,QACd,QAAQ,MAAM,CAAC;AAAA,QACf,IAAI,UAAU;AAAE,iBAAeK,MAAK,SAAyB,SAAyB,SAAyB,YAAY,KAAK;AAAA,QAAG;AAAA,MACrI;AAGA,MAAG,GAAQ,IAAI,MAAM;AAGrB,WAAK,KAAK,QAAQ;AAClB,WAAK,QAAQ;AACb,cAAQ,KAAK,MAAM;AAAA,IACrB,CAAC;AAAA,EACH;AAAA;AAAA;AAAA;AAAA,EAKA,MAAM,MAAMpB,KAA2B;AACrC,WAAO,IAAI,QAAQ,CAAC,YAAY;AAAE,iBAAW,SAASA,GAAE;AAAA,IAAG,CAAC;AAAA,EAC9D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASA,MAAM,MAAM,SAA2B,MAAe,MAAM,QAAgB,GAAG;AAC7E,QAAI,KAAK;AACP,UAAI,CAAC,mBAAK,QAAO,QAAQ,EAAE,GAAG;AAC5B,YAAI,KAAK,OAAO;AAAO,cAAI,eAAe,QAAQ,EAAE;AACpD,2BAAK,QAAO,QAAQ,EAAE,IAAI;AAAA,MAC5B;AACA,UAAI,CAAC,QAAQ,UAAU,mBAAK,QAAO,QAAQ,EAAE,KAAM,QAAQ,cAAc;AAAI,cAAM,KAAK,OAAO,OAAO;AACtG,UAAI,QAAQ;AAAG,cAAM,KAAK,MAAM,KAAK;AACrC,UAAI,mBAAK,QAAO,QAAQ,EAAE;AAAG,8BAAsB,MAAM,KAAK,MAAM,SAAS,KAAK,KAAK,CAAC;AAAA,IAC1F,OAAO;AACL,UAAI,KAAK,OAAO;AAAO,YAAI,cAAc,QAAQ,EAAE;AACnD,yBAAK,QAAO,QAAQ,EAAE,IAAI;AAAA,IAC5B;AAAA,EACF;AACF;AAzbE;AACA;AACA;AA+DA;AAoWA;", - "names": ["t", "dt", "ts", "config", "match", "gl", "index", "y", "v", "size", "rgb", "fx", "process", "config", "_a", "_b", "_c", "tensor", "rgb", "t", "gl", "_a", "_b", "el", "affectnet-mobilenet", "anti-spoofing", "blazeface-back", "blazeface-front", "blazepose-detector", "blazepose-full", "blazepose-heavy", "blazepose-lite", "efficientpose-i-lite", "efficientpose-ii-lite", "efficientpose-iv", "facemesh-attention", "facemesh-attention-pinto", "facemesh-detection-full", "facemesh-detection-short", "faceres-deep", "gear-e1", "gear-e2", "gender-ssrnet-imdb", "handlandmark-full", "handlandmark-lite", "handlandmark-sparse", "insightface-efficientnet-b0", "insightface-ghostnet-strides1", "insightface-ghostnet-strides2", "insightface-mobilenet-emore", "insightface-mobilenet-swish", "movenet-lightning", "movenet-multipose", "movenet-thunder", "nanodet-e", "nanodet-g", "nanodet-m", "nanodet-t", "init", "config", "_a", "_b", "_c", "_d", "model", "config", "gl", "_a", "_a", "config", "t", "_b", "mt", "canvas", "init", "options", "rgb", "localOptions", "y", "cx", "xc", "yc", "to", "options", "connectionsToIndices", "index", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "emotion", "index", "v", "inCanvas", "options", "inCanvas", "_a", "_b", "localOptions", "options", "connected", "inCanvas", "_a", "_b", "localOptions", "options", "inCanvas", "_a", "localOptions", "options", "inCanvas", "_a", "localOptions", "options", "j", "inCanvas", "localOptions", "options", "canvas", "init", "anchors", "y", "config", "outputSize", "_a", "_b", "t", "outputSize", "model", "inputSize", "config", "size", "_a", "_b", "t", "outputSize", "kpt", "distance", "annotations", "body", "_c", "labels", "model", "inputSize", "last", "lastTime", "skipped", "config", "process", "t", "id", "labels", "y", "predict", "outputSize", "connected", "kpt", "model", "lastTime", "cache", "skipped", "load", "config", "y", "predict", "_a", "_b", "enhance", "id", "x", "kpt", "connected", "size", "y", "y", "v1", "v2", "size", "inputSize", "anchors", "face", "y", "model", "inputSize", "load", "config", "_a", "decodeBoxes", "t", "_b", "_c", "_d", "_f", "model", "inputSize", "load", "config", "_a", "_b", "j", "index", "face", "y", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "t", "cache", "model", "inputSize", "predict", "config", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "id", "size", "face", "t", "index", "load", "model", "last", "lastTime", "skipped", "load", "config", "_a", "_b", "_c", "predict", "count", "t", "inputSize", "model", "last", "lastTime", "lastCount", "skipped", "load", "config", "_a", "_b", "predict", "count", "_c", "_d", "t", "gender", "all", "y", "j", "face", "model", "skipped", "lastCount", "lastTime", "load", "config", "_a", "predict", "count", "_b", "model", "cached", "skipped", "lastCount", "lastTime", "load", "config", "_a", "predict", "count", "_b", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "_a", "predict", "count", "_b", "_c", "_d", "t", "gender", "age", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "predict", "count", "_a", "_b", "_c", "_d", "t", "model", "last", "lastCount", "lastTime", "skipped", "rgb", "load", "config", "_a", "predict", "count", "_b", "_c", "_d", "t", "normalize", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "_a", "predict", "count", "_b", "t", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "predict", "count", "_a", "_b", "t", "face", "normalize", "v", "y", "size", "face", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_l", "_m", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "_w", "predict", "el", "options", "point", "point2", "gesture", "body", "face", "iris", "_a", "_b", "_c", "_d", "hand", "getBoxSize", "getBoxCenter", "scaleBoxCoordinates", "enlargeBox", "size", "squarifyBox", "normalizeRadians", "computeRotation", "buildTranslationMatrix", "y", "dot", "v1", "v2", "getColumnFrom2DArr", "multiplyTransformMatrices", "size", "buildRotationMatrix", "invertTransformMatrix", "rotatePoint", "anchors", "model", "_a", "_b", "_c", "_d", "anchors", "t", "index", "config", "hand", "scaleBoxCoordinates", "lastTime", "handPoseModel", "_a", "_b", "_c", "xs", "ys", "rotatePoint", "enlargeBox", "squarifyBox", "getBoxSize", "buildRotationMatrix", "invertTransformMatrix", "getBoxCenter", "dot", "config", "computeRotation", "meshAnnotations", "predict", "config", "annotations", "index", "load", "_a", "_b", "models", "inputSize", "skipped", "lastTime", "cache", "loadDetect", "config", "_a", "config", "models", "t", "ratio", "id", "hand", "inputSize", "kpt", "index", "predict", "_a", "_b", "skipped", "lastTime", "cache", "connected", "kpt", "calc", "config", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_l", "_m", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "_w", "_x", "_z", "j", "_e", "annotations", "kp", "t1", "model", "load", "config", "predict", "_a", "t", "options", "clamp", "index", "models_exports", "cache", "body", "kp", "compare", "inputSize", "_a", "_b", "t", "outputSize", "kpt", "model", "inputSize", "skipped", "cache", "load", "config", "_a", "kpt", "id", "annotations", "connected", "kp", "body", "predict", "t", "model", "last", "lastTime", "skipped", "inputSize", "load", "config", "process", "_a", "_b", "id", "size", "labels", "j", "cx", "y", "predict", "outputSize", "y", "maxSize", "j", "t", "outputStride", "y1", "x1", "y2", "x2", "dx", "model", "point", "height", "width", "minConfidence", "y", "_a", "predict", "config", "t", "load", "model", "outputNodes", "init", "config", "load", "rgb", "predict", "model", "load", "config", "predict", "_a", "t", "model", "_a", "_b", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_l", "_m", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "_w", "_x", "_z", "_A", "load", "loadDetect", "models", "join", "_a", "_b", "_c", "_d", "_f", "id", "face", "person", "body", "hand", "gesture", "y", "face", "body", "res", "face", "body", "canvas", "atob", "_a", "_b", "_c", "_d", "model", "t", "t1", "_a", "init", "process", "_b", "_c", "predict", "count", "model", "calc", "t1", "ms", "_d", "_f", "_g", "_h", "_i", "_j", "_l", "_m", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "face", "body", "hand", "iris", "join"] + "sourcesContent": ["/*\n Human\n homepage: \n author: '\n*/\n\nvar BU=Object.create;var PC=Object.defineProperty;var zU=Object.getOwnPropertyDescriptor;var VU=Object.getOwnPropertyNames;var WU=Object.getPrototypeOf,UU=Object.prototype.hasOwnProperty;var qt=(r,e)=>()=>(e||r((e={exports:{}}).exports,e),e.exports),He=(r,e)=>{for(var t in e)PC(r,t,{get:e[t],enumerable:!0})},GU=(r,e,t,o)=>{if(e&&typeof e==\"object\"||typeof e==\"function\")for(let n of VU(e))!UU.call(r,n)&&n!==t&&PC(r,n,{get:()=>e[n],enumerable:!(o=zU(e,n))||o.enumerable});return r};var Bp=(r,e,t)=>(t=r!=null?BU(WU(r)):{},GU(e||!r||!r.__esModule?PC(t,\"default\",{value:r,enumerable:!0}):t,r));var v0=qt((uce,I0)=>{I0.exports=vt;var So=null;try{So=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function vt(r,e,t){this.low=r|0,this.high=e|0,this.unsigned=!!t}vt.prototype.__isLong__;Object.defineProperty(vt.prototype,\"__isLong__\",{value:!0});function zr(r){return(r&&r.__isLong__)===!0}vt.isLong=zr;var f0={},h0={};function Ru(r,e){var t,o,n;return e?(r>>>=0,(n=0<=r&&r<256)&&(o=h0[r],o)?o:(t=kt(r,(r|0)<0?-1:0,!0),n&&(h0[r]=t),t)):(r|=0,(n=-128<=r&&r<128)&&(o=f0[r],o)?o:(t=kt(r,r<0?-1:0,!1),n&&(f0[r]=t),t))}vt.fromInt=Ru;function Io(r,e){if(isNaN(r))return e?Eu:vo;if(e){if(r<0)return Eu;if(r>=b0)return S0}else{if(r<=-x0)return Br;if(r+1>=x0)return w0}return r<0?Io(-r,e).neg():kt(r%Qp|0,r/Qp|0,e)}vt.fromNumber=Io;function kt(r,e,t){return new vt(r,e,t)}vt.fromBits=kt;var jm=Math.pow;function jC(r,e,t){if(r.length===0)throw Error(\"empty string\");if(r===\"NaN\"||r===\"Infinity\"||r===\"+Infinity\"||r===\"-Infinity\")return vo;if(typeof e==\"number\"?(t=e,e=!1):e=!!e,t=t||10,t<2||360)throw Error(\"interior hyphen\");if(o===0)return jC(r.substring(1),e,t).neg();for(var n=Io(jm(t,8)),s=vo,a=0;a>>0:this.low};de.toNumber=function(){return this.unsigned?(this.high>>>0)*Qp+(this.low>>>0):this.high*Qp+(this.low>>>0)};de.toString=function(e){if(e=e||10,e<2||36>>0,c=u.toString(e);if(a=p,a.isZero())return c+i;for(;c.length<6;)c=\"0\"+c;i=\"\"+c+i}};de.getHighBits=function(){return this.high};de.getHighBitsUnsigned=function(){return this.high>>>0};de.getLowBits=function(){return this.low};de.getLowBitsUnsigned=function(){return this.low>>>0};de.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Br)?64:this.neg().getNumBitsAbs();for(var e=this.high!=0?this.high:this.low,t=31;t>0&&!(e&1<=0};de.isOdd=function(){return(this.low&1)===1};de.isEven=function(){return(this.low&1)===0};de.equals=function(e){return zr(e)||(e=$s(e)),this.unsigned!==e.unsigned&&this.high>>>31===1&&e.high>>>31===1?!1:this.high===e.high&&this.low===e.low};de.eq=de.equals;de.notEquals=function(e){return!this.eq(e)};de.neq=de.notEquals;de.ne=de.notEquals;de.lessThan=function(e){return this.comp(e)<0};de.lt=de.lessThan;de.lessThanOrEqual=function(e){return this.comp(e)<=0};de.lte=de.lessThanOrEqual;de.le=de.lessThanOrEqual;de.greaterThan=function(e){return this.comp(e)>0};de.gt=de.greaterThan;de.greaterThanOrEqual=function(e){return this.comp(e)>=0};de.gte=de.greaterThanOrEqual;de.ge=de.greaterThanOrEqual;de.compare=function(e){if(zr(e)||(e=$s(e)),this.eq(e))return 0;var t=this.isNegative(),o=e.isNegative();return t&&!o?-1:!t&&o?1:this.unsigned?e.high>>>0>this.high>>>0||e.high===this.high&&e.low>>>0>this.low>>>0?-1:1:this.sub(e).isNegative()?-1:1};de.comp=de.compare;de.negate=function(){return!this.unsigned&&this.eq(Br)?Br:this.not().add(Yp)};de.neg=de.negate;de.add=function(e){zr(e)||(e=$s(e));var t=this.high>>>16,o=this.high&65535,n=this.low>>>16,s=this.low&65535,a=e.high>>>16,i=e.high&65535,p=e.low>>>16,u=e.low&65535,c=0,l=0,m=0,d=0;return d+=s+u,m+=d>>>16,d&=65535,m+=n+p,l+=m>>>16,m&=65535,l+=o+i,c+=l>>>16,l&=65535,c+=t+a,c&=65535,kt(m<<16|d,c<<16|l,this.unsigned)};de.subtract=function(e){return zr(e)||(e=$s(e)),this.add(e.neg())};de.sub=de.subtract;de.multiply=function(e){if(this.isZero())return vo;if(zr(e)||(e=$s(e)),So){var t=So.mul(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}if(e.isZero())return vo;if(this.eq(Br))return e.isOdd()?Br:vo;if(e.eq(Br))return this.isOdd()?Br:vo;if(this.isNegative())return e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(y0)&&e.lt(y0))return Io(this.toNumber()*e.toNumber(),this.unsigned);var o=this.high>>>16,n=this.high&65535,s=this.low>>>16,a=this.low&65535,i=e.high>>>16,p=e.high&65535,u=e.low>>>16,c=e.low&65535,l=0,m=0,d=0,f=0;return f+=a*c,d+=f>>>16,f&=65535,d+=s*c,m+=d>>>16,d&=65535,d+=a*u,m+=d>>>16,d&=65535,m+=n*c,l+=m>>>16,m&=65535,m+=s*u,l+=m>>>16,m&=65535,m+=a*p,l+=m>>>16,m&=65535,l+=o*c+n*u+s*p+a*i,l&=65535,kt(d<<16|f,l<<16|m,this.unsigned)};de.mul=de.multiply;de.divide=function(e){if(zr(e)||(e=$s(e)),e.isZero())throw Error(\"division by zero\");if(So){if(!this.unsigned&&this.high===-2147483648&&e.low===-1&&e.high===-1)return this;var t=(this.unsigned?So.div_u:So.div_s)(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Eu:vo;var o,n,s;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return Eu;if(e.gt(this.shru(1)))return C0;s=Eu}else{if(this.eq(Br)){if(e.eq(Yp)||e.eq(qC))return Br;if(e.eq(Br))return Yp;var a=this.shr(1);return o=a.div(e).shl(1),o.eq(vo)?e.isNegative()?Yp:qC:(n=this.sub(e.mul(o)),s=o.add(n.div(e)),s)}else if(e.eq(Br))return this.unsigned?Eu:vo;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();s=vo}for(n=this;n.gte(e);){o=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var i=Math.ceil(Math.log(o)/Math.LN2),p=i<=48?1:jm(2,i-48),u=Io(o),c=u.mul(e);c.isNegative()||c.gt(n);)o-=p,u=Io(o,this.unsigned),c=u.mul(e);u.isZero()&&(u=Yp),s=s.add(u),n=n.sub(c)}return s};de.div=de.divide;de.modulo=function(e){if(zr(e)||(e=$s(e)),So){var t=(this.unsigned?So.rem_u:So.rem_s)(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}return this.sub(this.div(e).mul(e))};de.mod=de.modulo;de.rem=de.modulo;de.not=function(){return kt(~this.low,~this.high,this.unsigned)};de.and=function(e){return zr(e)||(e=$s(e)),kt(this.low&e.low,this.high&e.high,this.unsigned)};de.or=function(e){return zr(e)||(e=$s(e)),kt(this.low|e.low,this.high|e.high,this.unsigned)};de.xor=function(e){return zr(e)||(e=$s(e)),kt(this.low^e.low,this.high^e.high,this.unsigned)};de.shiftLeft=function(e){return zr(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?kt(this.low<>>32-e,this.unsigned):kt(0,this.low<>>e|this.high<<32-e,this.high>>e,this.unsigned):kt(this.high>>e-32,this.high>=0?0:-1,this.unsigned)};de.shr=de.shiftRight;de.shiftRightUnsigned=function(e){if(zr(e)&&(e=e.toInt()),e&=63,e===0)return this;var t=this.high;if(e<32){var o=this.low;return kt(o>>>e|t<<32-e,t>>>e,this.unsigned)}else return e===32?kt(t,0,this.unsigned):kt(t>>>e-32,0,this.unsigned)};de.shru=de.shiftRightUnsigned;de.shr_u=de.shiftRightUnsigned;de.toSigned=function(){return this.unsigned?kt(this.low,this.high,!1):this};de.toUnsigned=function(){return this.unsigned?this:kt(this.low,this.high,!0)};de.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()};de.toBytesLE=function(){var e=this.high,t=this.low;return[t&255,t>>>8&255,t>>>16&255,t>>>24,e&255,e>>>8&255,e>>>16&255,e>>>24]};de.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,e&255,t>>>24,t>>>16&255,t>>>8&255,t&255]};vt.fromBytes=function(e,t,o){return o?vt.fromBytesLE(e,t):vt.fromBytesBE(e,t)};vt.fromBytesLE=function(e,t){return new vt(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)};vt.fromBytesBE=function(e,t){return new vt(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)}});var sk=qt(()=>{});var ak=qt(()=>{});var F2=qt((A2,kw)=>{(function(r,e,t){function o(i){var p=this,u=a();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=u(\" \"),p.s1=u(\" \"),p.s2=u(\" \"),p.s0-=u(i),p.s0<0&&(p.s0+=1),p.s1-=u(i),p.s1<0&&(p.s1+=1),p.s2-=u(i),p.s2<0&&(p.s2+=1),u=null}function n(i,p){return p.c=i.c,p.s0=i.s0,p.s1=i.s1,p.s2=i.s2,p}function s(i,p){var u=new o(i),c=p&&p.state,l=u.next;return l.int32=function(){return u.next()*4294967296|0},l.double=function(){return l()+(l()*2097152|0)*11102230246251565e-32},l.quick=l,c&&(typeof c==\"object\"&&n(c,u),l.state=function(){return n(u,{})}),l}function a(){var i=4022871197,p=function(u){u=String(u);for(var c=0;c>>0,l-=i,l*=i,i=l>>>0,l-=i,i+=l*4294967296}return(i>>>0)*23283064365386963e-26};return p}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.alea=s})(A2,typeof kw==\"object\"&&kw,typeof define==\"function\"&&define)});var O2=qt((P2,Nw)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.x=0,i.y=0,i.z=0,i.w=0,i.next=function(){var c=i.x^i.x<<11;return i.x=i.y,i.y=i.z,i.z=i.w,i.w^=i.w>>>19^c^c>>>8},a===(a|0)?i.x=a:p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor128=s})(P2,typeof Nw==\"object\"&&Nw,typeof define==\"function\"&&define)});var L2=qt((M2,Tw)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.next=function(){var c=i.x^i.x>>>2;return i.x=i.y,i.y=i.z,i.z=i.w,i.w=i.v,(i.d=i.d+362437|0)+(i.v=i.v^i.v<<4^(c^c<<1))|0},i.x=0,i.y=0,i.z=0,i.w=0,i.v=0,a===(a|0)?i.x=a:p+=a;for(var u=0;u>>4),i.next()}function n(a,i){return i.x=a.x,i.y=a.y,i.z=a.z,i.w=a.w,i.v=a.v,i.d=a.d,i}function s(a,i){var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorwow=s})(M2,typeof Tw==\"object\"&&Tw,typeof define==\"function\"&&define)});var z2=qt((B2,_w)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.x,c=i.i,l,m,d;return l=u[c],l^=l>>>7,m=l^l<<24,l=u[c+1&7],m^=l^l>>>10,l=u[c+3&7],m^=l^l>>>3,l=u[c+4&7],m^=l^l<<7,l=u[c+7&7],l=l^l<<13,m^=l^l<<9,u[c]=m,i.i=c+1&7,m};function p(u,c){var l,m,d=[];if(c===(c|0))m=d[0]=c;else for(c=\"\"+c,l=0;l0;--l)u.next()}p(i,a)}function n(a,i){return i.x=a.x.slice(),i.i=a.i,i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.x&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorshift7=s})(B2,typeof _w==\"object\"&&_w,typeof define==\"function\"&&define)});var W2=qt((V2,$w)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.w,c=i.X,l=i.i,m,d;return i.w=u=u+1640531527|0,d=c[l+34&127],m=c[l=l+1&127],d^=d<<13,m^=m<<17,d^=d>>>15,m^=m>>>12,d=c[l]=d^m,i.i=l,d+(u^u>>>16)|0};function p(u,c){var l,m,d,f,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+\"\\0\",m=0,x=Math.max(x,c.length)),d=0,f=-32;f>>15,m^=m<<4,m^=m>>>13,f>=0&&(h=h+1640531527|0,l=g[f&127]^=m+h,d=l==0?d+1:0);for(d>=128&&(g[(c&&c.length||0)&127]=-1),d=127,f=4*128;f>0;--f)m=g[d+34&127],l=g[d=d+1&127],m^=m<<13,l^=l<<17,m^=m>>>15,l^=l>>>12,g[d]=m^l;u.w=h,u.X=g,u.i=d}p(i,a)}function n(a,i){return i.i=a.i,i.w=a.w,i.X=a.X.slice(),i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.X&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor4096=s})(V2,typeof $w==\"object\"&&$w,typeof define==\"function\"&&define)});var G2=qt((U2,Ew)=>{(function(r,e,t){function o(a){var i=this,p=\"\";i.next=function(){var c=i.b,l=i.c,m=i.d,d=i.a;return c=c<<25^c>>>7^l,l=l-m|0,m=m<<24^m>>>8^d,d=d-c|0,i.b=c=c<<20^c>>>12^l,i.c=l=l-m|0,i.d=m<<16^l>>>16^d,i.a=d-c|0},i.a=0,i.b=0,i.c=-1640531527,i.d=1367130551,a===Math.floor(a)?(i.a=a/4294967296|0,i.b=a|0):p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u==\"object\"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.tychei=s})(U2,typeof Ew==\"object\"&&Ew,typeof define==\"function\"&&define)});var H2=qt(()=>{});var q2=qt((K2,Fd)=>{(function(r,e,t){var o=256,n=6,s=52,a=\"random\",i=t.pow(o,n),p=t.pow(2,s),u=p*2,c=o-1,l;function m(w,S,k){var _=[];S=S==!0?{entropy:!0}:S||{};var E=g(h(S.entropy?[w,b(e)]:w==null?x():w,3),_),R=new d(_),D=function(){for(var F=R.g(n),O=i,M=0;F=u;)F/=2,O/=2,M>>>=1;return(F+M)/O};return D.int32=function(){return R.g(4)|0},D.quick=function(){return R.g(4)/4294967296},D.double=D,g(b(R.S),e),(S.pass||k||function(F,O,M,L){return L&&(L.S&&f(L,R),F.state=function(){return f(R,{})}),M?(t[a]=F,O):F})(D,E,\"global\"in S?S.global:this==t,S.state)}function d(w){var S,k=w.length,_=this,E=0,R=_.i=_.j=0,D=_.S=[];for(k||(w=[k++]);E{var VK=F2(),WK=O2(),UK=L2(),GK=z2(),HK=W2(),KK=G2(),Uu=q2();Uu.alea=VK;Uu.xor128=WK;Uu.xorwow=UK;Uu.xorshift7=GK;Uu.xor4096=HK;Uu.tychei=KK;j2.exports=Uu});var Sv=qt(()=>{});var Iv=qt(()=>{});var ZL=qt(()=>{});var JL=qt(()=>{});var eB=qt(()=>{});var tB=qt((Bg,kv)=>{var vv=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(e){e=e||{};function t(){return oe.buffer!=We&&Tt(oe.buffer),mt}function o(){return oe.buffer!=We&&Tt(oe.buffer),it}function n(){return oe.buffer!=We&&Tt(oe.buffer),ht}function s(){return oe.buffer!=We&&Tt(oe.buffer),Or}function a(){return oe.buffer!=We&&Tt(oe.buffer),Mt}function i(){return oe.buffer!=We&&Tt(oe.buffer),Qr}function p(){return oe.buffer!=We&&Tt(oe.buffer),or}var u=typeof e!=\"undefined\"?e:{},c,l;u.ready=new Promise(function(A,V){c=A,l=V});var m;typeof process!=\"undefined\"&&process.listeners&&(m={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var d=Object.assign({},u),f=[],h=\"./this.program\",g=(A,V)=>{throw V},x=typeof window==\"object\",b=typeof importScripts==\"function\",w=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",S=u.ENVIRONMENT_IS_PTHREAD||!1,k=\"\";function _(A){return u.locateFile?u.locateFile(A,k):k+A}var E,R,D,F;function O(A){if(A instanceof Iu)return;j(\"exiting due to exception: \"+A)}if(w){var M=Sv(),L=Iv();b?k=L.dirname(k)+\"/\":k=__dirname+\"/\",E=(V,ue)=>(V=Ap(V)?new URL(V):L.normalize(V),M.readFileSync(V,ue?void 0:\"utf8\")),D=V=>{var ue=E(V,!0);return ue.buffer||(ue=new Uint8Array(ue)),ue},R=(V,ue,Ee)=>{V=Ap(V)?new URL(V):L.normalize(V),M.readFile(V,function(Be,Le){Be?Ee(Be):ue(Le.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\\\/g,\"/\")),f=process.argv.slice(2),process.on(\"uncaughtException\",function(V){if(!(V instanceof Iu))throw V}),process.on(\"unhandledRejection\",function(V){throw V}),g=(V,ue)=>{if(Mo())throw process.exitCode=V,ue;O(ue),process.exit(V)},u.inspect=function(){return\"[Emscripten Module object]\"};let A;try{A=ZL()}catch(V){throw console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?'),V}global.Worker=A.Worker}else(x||b)&&(b?k=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(k=document.currentScript.src),typeof r!=\"undefined\"&&r&&(k=r),k.indexOf(\"blob:\")!==0?k=k.substr(0,k.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):k=\"\",w||(E=A=>{var V=new XMLHttpRequest;return V.open(\"GET\",A,!1),V.send(null),V.responseText},b&&(D=A=>{var V=new XMLHttpRequest;return V.open(\"GET\",A,!1),V.responseType=\"arraybuffer\",V.send(null),new Uint8Array(V.response)}),R=(A,V,ue)=>{var Ee=new XMLHttpRequest;Ee.open(\"GET\",A,!0),Ee.responseType=\"arraybuffer\",Ee.onload=()=>{if(Ee.status==200||Ee.status==0&&Ee.response){V(Ee.response);return}ue()},Ee.onerror=ue,Ee.send(null)}),F=A=>document.title=A);w&&typeof performance==\"undefined\"&&(global.performance=JL().performance);var B=console.log.bind(console),z=console.warn.bind(console);w&&(B=A=>M.writeSync(1,A+`\n`),z=A=>M.writeSync(2,A+`\n`));var U=u.print||B,j=u.printErr||z;Object.assign(u,d),d=null,u.arguments&&(f=u.arguments),u.thisProgram&&(h=u.thisProgram),u.quit&&(g=u.quit);var H=4,X=Atomics.load,J=Atomics.store,re=Atomics.compareExchange,ne;u.wasmBinary&&(ne=u.wasmBinary);var ee=u.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&Su(\"no native wasm support detected\");var oe,ie,le=!1,ye;function _e(A,V){A||Su(V)}var ve=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function Fe(A,V,ue){V>>>=0;for(var Ee=V+ue,Be=V;A[Be]&&!(Be>=Ee);)++Be;if(Be-V>16&&A.buffer&&ve)return ve.decode(A.buffer instanceof SharedArrayBuffer?A.slice(V,Be):A.subarray(V,Be));for(var Le=\"\";V>10,56320|to&1023)}}return Le}function Pe(A,V){return A>>>=0,A?Fe(o(),A,V):\"\"}function st(A,V,ue,Ee){if(ue>>>=0,!(Ee>0))return 0;for(var Be=ue,Le=ue+Ee-1,he=0;he=55296&&Ne<=57343){var Ft=A.charCodeAt(++he);Ne=65536+((Ne&1023)<<10)|Ft&1023}if(Ne<=127){if(ue>=Le)break;V[ue++>>>0]=Ne}else if(Ne<=2047){if(ue+1>=Le)break;V[ue++>>>0]=192|Ne>>6,V[ue++>>>0]=128|Ne&63}else if(Ne<=65535){if(ue+2>=Le)break;V[ue++>>>0]=224|Ne>>12,V[ue++>>>0]=128|Ne>>6&63,V[ue++>>>0]=128|Ne&63}else{if(ue+3>=Le)break;V[ue++>>>0]=240|Ne>>18,V[ue++>>>0]=128|Ne>>12&63,V[ue++>>>0]=128|Ne>>6&63,V[ue++>>>0]=128|Ne&63}}return V[ue>>>0]=0,ue-Be}function lt(A,V,ue){return st(A,o(),V,ue)}var We,mt,it,ht,gt,Or,Mt,Qr,or;S&&(We=u.buffer);function Tt(A){We=A,u.HEAP8=mt=new Int8Array(A),u.HEAP16=ht=new Int16Array(A),u.HEAP32=Or=new Int32Array(A),u.HEAPU8=it=new Uint8Array(A),u.HEAPU16=gt=new Uint16Array(A),u.HEAPU32=Mt=new Uint32Array(A),u.HEAPF32=Qr=new Float32Array(A),u.HEAPF64=or=new Float64Array(A)}var nr=u.INITIAL_MEMORY||16777216;if(S)oe=u.wasmMemory,We=u.buffer;else if(u.wasmMemory)oe=u.wasmMemory;else if(oe=new WebAssembly.Memory({initial:nr/65536,maximum:65536,shared:!0}),!(oe.buffer instanceof SharedArrayBuffer))throw j(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\"),w&&j(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)\"),Error(\"bad memory\");oe&&(We=oe.buffer),nr=We.byteLength,Tt(We);var sr,Zr=[],Jr=[],fr=[],Fa=!1;function Mo(){return ee}function Vs(){if(u.preRun)for(typeof u.preRun==\"function\"&&(u.preRun=[u.preRun]);u.preRun.length;)el(u.preRun.shift());ol(Zr)}function Xt(){Fa=!0,!S&&ol(Jr)}function Pa(){if(!S){if(u.postRun)for(typeof u.postRun==\"function\"&&(u.postRun=[u.postRun]);u.postRun.length;)jv(u.postRun.shift());ol(fr)}}function el(A){Zr.unshift(A)}function tl(A){Jr.unshift(A)}function jv(A){fr.unshift(A)}var wi=0,Dp=null,Oa=null;function ly(A){wi++,u.monitorRunDependencies&&u.monitorRunDependencies(wi)}function xm(A){if(wi--,u.monitorRunDependencies&&u.monitorRunDependencies(wi),wi==0&&(Dp!==null&&(clearInterval(Dp),Dp=null),Oa)){var V=Oa;Oa=null,V()}}function Su(A){u.onAbort&&u.onAbort(A),A=\"Aborted(\"+A+\")\",j(A),le=!0,ye=1,A+=\". Build with -sASSERTIONS for more info.\";var V=new WebAssembly.RuntimeError(A);throw l(V),V}var my=\"data:application/octet-stream;base64,\";function ym(A){return A.startsWith(my)}function Ap(A){return A.startsWith(\"file://\")}var hr;hr=\"tfjs-backend-wasm-threaded-simd.wasm\",ym(hr)||(hr=_(hr));function bm(A){try{if(A==hr&&ne)return new Uint8Array(ne);if(D)return D(A);throw\"both async and sync fetching of the wasm failed\"}catch(V){Su(V)}}function dy(){if(!ne&&(x||b)){if(typeof fetch==\"function\"&&!Ap(hr))return fetch(hr,{credentials:\"same-origin\"}).then(function(A){if(!A.ok)throw\"failed to load wasm binary file at '\"+hr+\"'\";return A.arrayBuffer()}).catch(function(){return bm(hr)});if(R)return new Promise(function(A,V){R(hr,function(ue){A(new Uint8Array(ue))},V)})}return Promise.resolve().then(function(){return bm(hr)})}function fy(){var A={env:Dm,wasi_snapshot_preview1:Dm};function V(he,Ne){var Ft=he.exports;if(u.asm=Ft,Iy(u.asm._emscripten_tls_init),sr=u.asm.__indirect_function_table,tl(u.asm.__wasm_call_ctors),ie=Ne,!S){var to=Me.unusedWorkers.length;Me.unusedWorkers.forEach(function(La){Me.loadWasmModuleToWorker(La,function(){--to||xm(\"wasm-instantiate\")})})}}S||ly(\"wasm-instantiate\");function ue(he){V(he.instance,he.module)}function Ee(he){return dy().then(function(Ne){return WebAssembly.instantiate(Ne,A)}).then(function(Ne){return Ne}).then(he,function(Ne){j(\"failed to asynchronously prepare wasm: \"+Ne),Su(Ne)})}function Be(){return!ne&&typeof WebAssembly.instantiateStreaming==\"function\"&&!ym(hr)&&!Ap(hr)&&!w&&typeof fetch==\"function\"?fetch(hr,{credentials:\"same-origin\"}).then(function(he){var Ne=WebAssembly.instantiateStreaming(he,A);return Ne.then(ue,function(Ft){return j(\"wasm streaming compile failed: \"+Ft),j(\"falling back to ArrayBuffer instantiation\"),Ee(ue)})}):Ee(ue)}if(u.instantiateWasm)try{var Le=u.instantiateWasm(A,V);return Le}catch(he){j(\"Module.instantiateWasm callback failed with error: \"+he),l(he)}return Be().catch(l),{}}var Xv,Yv,Cm={};function Iu(A){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+A+\")\",this.status=A}function hy(A){var V=Me.pthreads[A];delete Me.pthreads[A],V.terminate(),DC(A),Me.runningWorkers.splice(Me.runningWorkers.indexOf(V),1),V.pthread_ptr=0}function gy(A){var V=Me.pthreads[A];V.postMessage({cmd:\"cancel\"})}function rl(A){var V=Me.pthreads[A];_e(V),Me.returnWorkerToPool(V)}function xy(A){var V=Me.getNewWorker();if(!V)return 6;Me.runningWorkers.push(V),Me.pthreads[A.pthread_ptr]=V,V.pthread_ptr=A.pthread_ptr;var ue={cmd:\"run\",start_routine:A.startRoutine,arg:A.arg,pthread_ptr:A.pthread_ptr};return V.runPthread=()=>{w&&V.ref(),V.postMessage(ue,A.transferList),delete V.runPthread},V.loaded&&V.runPthread(),0}var wm={varargs:void 0,get:function(){wm.varargs+=4;var A=s()[wm.varargs-4>>>2];return A},getStr:function(A){var V=Pe(A);return V}};function Sm(A){if(S)return Si(1,1,A);ye=A,Mo()||(Me.terminateAllThreads(),u.onExit&&u.onExit(A),le=!0),g(A,new Iu(A))}function yy(A,V){if(ye=A,!V&&S)throw vm(A),\"unwind\";Sm(A)}var Im=yy;function by(A){if(A instanceof Iu||A==\"unwind\")return ye;g(1,A)}var Me={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){S?Me.initWorker():Me.initMainThread()},initMainThread:function(){for(var A=8;A--;)Me.allocateUnusedWorker()},initWorker:function(){ee=!1},setExitStatus:function(A){ye=A},terminateAllThreads:function(){for(var A of Object.values(Me.pthreads))Me.returnWorkerToPool(A);for(var A of Me.unusedWorkers)A.terminate();Me.unusedWorkers=[]},returnWorkerToPool:function(A){var V=A.pthread_ptr;delete Me.pthreads[V],Me.unusedWorkers.push(A),Me.runningWorkers.splice(Me.runningWorkers.indexOf(A),1),A.pthread_ptr=0,w&&A.unref(),DC(V)},receiveObjectTransfer:function(A){},threadInitTLS:function(){Me.tlsInitFunctions.forEach(A=>A())},loadWasmModuleToWorker:function(A,V){A.onmessage=Le=>{var he=Le.data,Ne=he.cmd;if(A.pthread_ptr&&(Me.currentProxiedOperationCallerThread=A.pthread_ptr),he.targetThread&&he.targetThread!=Lm()){var Ft=Me.pthreads[he.targetThread];Ft?Ft.postMessage(he,he.transferList):j('Internal error! Worker sent a message \"'+Ne+'\" to target pthread '+he.targetThread+\", but that thread no longer exists!\"),Me.currentProxiedOperationCallerThread=void 0;return}Ne===\"processProxyingQueue\"?nl(he.queue):Ne===\"spawnThread\"?xy(he):Ne===\"cleanupThread\"?rl(he.thread):Ne===\"killThread\"?hy(he.thread):Ne===\"cancelThread\"?gy(he.thread):Ne===\"loaded\"?(A.loaded=!0,w&&A.unref(),V&&V(A),A.runPthread&&A.runPthread()):Ne===\"print\"?U(\"Thread \"+he.threadId+\": \"+he.text):Ne===\"printErr\"?j(\"Thread \"+he.threadId+\": \"+he.text):Ne===\"alert\"?alert(\"Thread \"+he.threadId+\": \"+he.text):he.target===\"setimmediate\"?A.postMessage(he):Ne===\"callHandler\"?u[he.handler](...he.args):Ne&&j(\"worker sent an unknown command \"+Ne),Me.currentProxiedOperationCallerThread=void 0},A.onerror=Le=>{var he=\"worker sent an error!\";throw j(he+\" \"+Le.filename+\":\"+Le.lineno+\": \"+Le.message),Le},w&&(A.on(\"message\",function(Le){A.onmessage({data:Le})}),A.on(\"error\",function(Le){A.onerror(Le)}),A.on(\"detachedExit\",function(){}));var ue=[],Ee=[\"onExit\",\"onAbort\",\"print\",\"printErr\"];for(var Be of Ee)u.hasOwnProperty(Be)&&ue.push(Be);A.postMessage({cmd:\"load\",handlers:ue,urlOrBlob:u.mainScriptUrlOrBlob||r,wasmMemory:oe,wasmModule:ie})},allocateUnusedWorker:function(){var A,V=_(\"tfjs-backend-wasm-threaded-simd.worker.js\");A=new Worker(V),Me.unusedWorkers.push(A)},getNewWorker:function(){return Me.unusedWorkers.length==0&&(Me.allocateUnusedWorker(),Me.loadWasmModuleToWorker(Me.unusedWorkers[0])),Me.unusedWorkers.pop()}};u.PThread=Me;function ol(A){for(;A.length>0;)A.shift()(u)}function Cy(){var A=Lm(),V=s()[A+52>>>2],ue=s()[A+56>>>2],Ee=V-ue;r0(V,Ee),Bm(V)}u.establishStackSpace=Cy;function vm(A){if(S)return Si(2,0,A);try{Im(A)}catch(V){by(V)}}var Fp=[];function wy(A){var V=Fp[A];return V||(A>=Fp.length&&(Fp.length=A+1),Fp[A]=V=sr.get(A)),V}function Sy(A,V){var ue=wy(A)(V);Mo()?Me.setExitStatus(ue):t0(ue)}u.invokeEntryPoint=Sy;function Iy(A){Me.tlsInitFunctions.push(A)}function vy(A){Zv(A,!b,1,!x),Me.threadInitTLS()}function ky(A){S?postMessage({cmd:\"cleanupThread\",thread:A}):rl(A)}function km(A,V,ue,Ee){return S?Si(3,1,A,V,ue,Ee):Nm(A,V,ue,Ee)}function Nm(A,V,ue,Ee){if(typeof SharedArrayBuffer==\"undefined\")return j(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\"),6;var Be=[],Le=0;if(S&&(Be.length===0||Le))return km(A,V,ue,Ee);if(Le)return Le;var he={startRoutine:ue,pthread_ptr:A,arg:Ee,transferList:Be};return S?(he.cmd=\"spawnThread\",postMessage(he,Be),0):xy(he)}function Ny(){return 65536}var Ty=!0;function _y(){return Ty}function nl(A){Atomics.store(s(),A>>2,1),Lm()&&e0(A),Atomics.compareExchange(s(),A>>2,1,0)}u.executeNotifiedProxyingQueue=nl;function $y(A,V,ue,Ee){if(A==V)setTimeout(()=>nl(Ee));else if(S)postMessage({targetThread:A,cmd:\"processProxyingQueue\",queue:Ee});else{var Be=Me.pthreads[A];if(!Be)return;Be.postMessage({cmd:\"processProxyingQueue\",queue:Ee})}return 1}function Ey(A,V,ue){return-1}function Ry(){Su(\"\")}function vu(A){vu.shown||(vu.shown={}),vu.shown[A]||(vu.shown[A]=1,w&&(A=\"warning: \"+A),j(A))}function Dy(){w||b||vu(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\")}function Ay(){return Date.now()}function Tm(){return 4294901760}function Fy(){return Tm()}var sl;w?sl=()=>{var A=process.hrtime();return A[0]*1e3+A[1]/1e6}:sl=()=>performance.timeOrigin+performance.now();function Py(A,V,ue){o().copyWithin(A>>>0,V>>>0,V+ue>>>0)}function Oy(){return w?eB().cpus().length:navigator.hardwareConcurrency}function My(A){var V=AC(),ue=A();return Bm(V),ue}function Si(A,V){var ue=arguments.length-2,Ee=arguments;return My(()=>{for(var Be=ue,Le=zm(Be*8),he=Le>>3,Ne=0;Ne>>0]=Ft}return Jv(A,Be,Le,V)})}var al=[];function Ly(A,V,ue){al.length=V;for(var Ee=ue>>3,Be=0;Be>>0];var Le=A<0,he=Le?Cm[-A-1]:qy[A];return he.apply(null,al)}function By(A){try{return oe.grow(A-We.byteLength+65535>>>16),Tt(oe.buffer),1}catch(V){}}function zy(A){var V=o().length;if(A=A>>>0,A<=V)return!1;var ue=Tm();if(A>ue)return!1;let Ee=(Ft,to)=>Ft+(to-Ft%to)%to;for(var Be=1;Be<=4;Be*=2){var Le=V*(1+.2/Be);Le=Math.min(Le,A+100663296);var he=Math.min(ue,Ee(Math.max(A,Le),65536)),Ne=By(he);if(Ne)return!0}return!1}function Vy(){throw\"unwind\"}function _m(A){return S?Si(4,1,A):52}function $m(A,V,ue,Ee,Be){return S?Si(5,1,A,V,ue,Ee,Be):70}var Wy=[null,[],[]];function Uy(A,V){var ue=Wy[A];V===0||V===10?((A===1?U:j)(Fe(ue,0)),ue.length=0):ue.push(V)}function Em(A,V,ue,Ee){if(S)return Si(6,1,A,V,ue,Ee);for(var Be=0,Le=0;Le>>2],Ne=a()[V+4>>>2];V+=8;for(var Ft=0;Ft>>0]);Be+=Ne}return a()[Ee>>>2]=Be,0}function Rm(A){var V=u[\"_\"+A];return V}function Gy(A,V){t().set(A,V>>>0)}function Hy(A,V,ue,Ee,Be){var Le={string:Mr=>{var Lp=0;if(Mr!=null&&Mr!==0){var s0=(Mr.length<<2)+1;Lp=zm(s0),lt(Mr,Lp,s0)}return Lp},array:Mr=>{var Lp=zm(Mr.length);return Gy(Mr,Lp),Lp}};function he(Mr){return V===\"string\"?Pe(Mr):V===\"boolean\"?!!Mr:Mr}var Ne=Rm(A),Ft=[],to=0;if(Ee)for(var La=0;Lahe===\"number\"||he===\"boolean\"),Le=V!==\"string\";return Le&&Be&&!Ee?Rm(A):function(){return Hy(A,V,ue,arguments,Ee)}}Me.init();var qy=[null,Sm,vm,km,_m,$m,Em],Dm={__emscripten_init_main_thread_js:vy,__emscripten_thread_cleanup:ky,__pthread_create_js:Nm,_emscripten_default_pthread_stack_size:Ny,_emscripten_get_now_is_monotonic:_y,_emscripten_notify_task_queue:$y,_emscripten_set_offscreencanvas_size:Ey,abort:Ry,emscripten_check_blocking_allowed:Dy,emscripten_date_now:Ay,emscripten_get_heap_max:Fy,emscripten_get_now:sl,emscripten_memcpy_big:Py,emscripten_num_logical_cores:Oy,emscripten_receive_on_main_thread_js:Ly,emscripten_resize_heap:zy,emscripten_unwind_to_js_event_loop:Vy,exit:Im,fd_close:_m,fd_seek:$m,fd_write:Em,memory:oe||u.wasmMemory},Qv=fy(),jy=u.___wasm_call_ctors=function(){return(jy=u.___wasm_call_ctors=u.asm.__wasm_call_ctors).apply(null,arguments)},Xy=u._init=function(){return(Xy=u._init=u.asm.init).apply(null,arguments)},Yy=u._init_with_threads_count=function(){return(Yy=u._init_with_threads_count=u.asm.init_with_threads_count).apply(null,arguments)},Qy=u._get_threads_count=function(){return(Qy=u._get_threads_count=u.asm.get_threads_count).apply(null,arguments)},Zy=u._register_tensor=function(){return(Zy=u._register_tensor=u.asm.register_tensor).apply(null,arguments)},Jy=u._dispose_data=function(){return(Jy=u._dispose_data=u.asm.dispose_data).apply(null,arguments)},eb=u._dispose=function(){return(eb=u._dispose=u.asm.dispose).apply(null,arguments)},tb=u._Abs=function(){return(tb=u._Abs=u.asm.Abs).apply(null,arguments)},rb=u._Acos=function(){return(rb=u._Acos=u.asm.Acos).apply(null,arguments)},ob=u._Acosh=function(){return(ob=u._Acosh=u.asm.Acosh).apply(null,arguments)},nb=u._Add=function(){return(nb=u._Add=u.asm.Add).apply(null,arguments)},sb=u._AddN=function(){return(sb=u._AddN=u.asm.AddN).apply(null,arguments)},ab=u._All=function(){return(ab=u._All=u.asm.All).apply(null,arguments)},ib=u._Any=function(){return(ib=u._Any=u.asm.Any).apply(null,arguments)},ub=u._ArgMax=function(){return(ub=u._ArgMax=u.asm.ArgMax).apply(null,arguments)},pb=u._ArgMin=function(){return(pb=u._ArgMin=u.asm.ArgMin).apply(null,arguments)},cb=u._Asin=function(){return(cb=u._Asin=u.asm.Asin).apply(null,arguments)},lb=u._Asinh=function(){return(lb=u._Asinh=u.asm.Asinh).apply(null,arguments)},mb=u._Atan=function(){return(mb=u._Atan=u.asm.Atan).apply(null,arguments)},db=u._Atan2=function(){return(db=u._Atan2=u.asm.Atan2).apply(null,arguments)},fb=u._Atanh=function(){return(fb=u._Atanh=u.asm.Atanh).apply(null,arguments)},hb=u._AvgPool=function(){return(hb=u._AvgPool=u.asm.AvgPool).apply(null,arguments)},gb=u._AvgPool3D=function(){return(gb=u._AvgPool3D=u.asm.AvgPool3D).apply(null,arguments)},xb=u._AvgPool3DGrad=function(){return(xb=u._AvgPool3DGrad=u.asm.AvgPool3DGrad).apply(null,arguments)},yb=u._BatchMatMul=function(){return(yb=u._BatchMatMul=u.asm.BatchMatMul).apply(null,arguments)},bb=u._Bincount=function(){return(bb=u._Bincount=u.asm.Bincount).apply(null,arguments)},Cb=u._Ceil=function(){return(Cb=u._Ceil=u.asm.Ceil).apply(null,arguments)},wb=u._ClipByValue=function(){return(wb=u._ClipByValue=u.asm.ClipByValue).apply(null,arguments)},Sb=u._Conv2D=function(){return(Sb=u._Conv2D=u.asm.Conv2D).apply(null,arguments)},Ib=u._Conv2DBackpropInput=function(){return(Ib=u._Conv2DBackpropInput=u.asm.Conv2DBackpropInput).apply(null,arguments)},vb=u._Conv3D=function(){return(vb=u._Conv3D=u.asm.Conv3D).apply(null,arguments)},kb=u._Conv3DBackpropFilterV2=function(){return(kb=u._Conv3DBackpropFilterV2=u.asm.Conv3DBackpropFilterV2).apply(null,arguments)},Nb=u._Conv3DBackpropInputV2=function(){return(Nb=u._Conv3DBackpropInputV2=u.asm.Conv3DBackpropInputV2).apply(null,arguments)},Tb=u._Cos=function(){return(Tb=u._Cos=u.asm.Cos).apply(null,arguments)},_b=u._Cosh=function(){return(_b=u._Cosh=u.asm.Cosh).apply(null,arguments)},$b=u._CropAndResize=function(){return($b=u._CropAndResize=u.asm.CropAndResize).apply(null,arguments)},Eb=u._Cumprod=function(){return(Eb=u._Cumprod=u.asm.Cumprod).apply(null,arguments)},Rb=u._Cumsum=function(){return(Rb=u._Cumsum=u.asm.Cumsum).apply(null,arguments)},Db=u._DenseBincount=function(){return(Db=u._DenseBincount=u.asm.DenseBincount).apply(null,arguments)},Ab=u._DepthToSpace=function(){return(Ab=u._DepthToSpace=u.asm.DepthToSpace).apply(null,arguments)},Fb=u._DepthwiseConv2dNative=function(){return(Fb=u._DepthwiseConv2dNative=u.asm.DepthwiseConv2dNative).apply(null,arguments)},Pb=u._Diag=function(){return(Pb=u._Diag=u.asm.Diag).apply(null,arguments)},Ob=u._Dilation2D=function(){return(Ob=u._Dilation2D=u.asm.Dilation2D).apply(null,arguments)},Mb=u._Dilation2DBackpropFilter=function(){return(Mb=u._Dilation2DBackpropFilter=u.asm.Dilation2DBackpropFilter).apply(null,arguments)},Lb=u._Dilation2DBackpropInput=function(){return(Lb=u._Dilation2DBackpropInput=u.asm.Dilation2DBackpropInput).apply(null,arguments)},Bb=u._Elu=function(){return(Bb=u._Elu=u.asm.Elu).apply(null,arguments)},zb=u._EluGrad=function(){return(zb=u._EluGrad=u.asm.EluGrad).apply(null,arguments)},Vb=u._Equal=function(){return(Vb=u._Equal=u.asm.Equal).apply(null,arguments)},Wb=u._Exp=function(){return(Wb=u._Exp=u.asm.Exp).apply(null,arguments)},Ub=u._Expm1=function(){return(Ub=u._Expm1=u.asm.Expm1).apply(null,arguments)},Gb=u._FlipLeftRight=function(){return(Gb=u._FlipLeftRight=u.asm.FlipLeftRight).apply(null,arguments)},Hb=u._Floor=function(){return(Hb=u._Floor=u.asm.Floor).apply(null,arguments)},Kb=u._FloorDiv=function(){return(Kb=u._FloorDiv=u.asm.FloorDiv).apply(null,arguments)},qb=u._FusedBatchNorm=function(){return(qb=u._FusedBatchNorm=u.asm.FusedBatchNorm).apply(null,arguments)},jb=u._FusedConv2D=function(){return(jb=u._FusedConv2D=u.asm.FusedConv2D).apply(null,arguments)},Xb=u._FusedDepthwiseConv2D=function(){return(Xb=u._FusedDepthwiseConv2D=u.asm.FusedDepthwiseConv2D).apply(null,arguments)},Yb=u._Gather=function(){return(Yb=u._Gather=u.asm.Gather).apply(null,arguments)},Qb=u._GatherNd=function(){return(Qb=u._GatherNd=u.asm.GatherNd).apply(null,arguments)},Zb=u._Greater=function(){return(Zb=u._Greater=u.asm.Greater).apply(null,arguments)},Jb=u._GreaterEqual=function(){return(Jb=u._GreaterEqual=u.asm.GreaterEqual).apply(null,arguments)},eC=u._IsFinite=function(){return(eC=u._IsFinite=u.asm.IsFinite).apply(null,arguments)},tC=u._IsInf=function(){return(tC=u._IsInf=u.asm.IsInf).apply(null,arguments)},rC=u._IsNan=function(){return(rC=u._IsNan=u.asm.IsNan).apply(null,arguments)},oC=u._LRN=function(){return(oC=u._LRN=u.asm.LRN).apply(null,arguments)},nC=u._LRNGrad=function(){return(nC=u._LRNGrad=u.asm.LRNGrad).apply(null,arguments)},sC=u._LeakyRelu=function(){return(sC=u._LeakyRelu=u.asm.LeakyRelu).apply(null,arguments)},aC=u._Less=function(){return(aC=u._Less=u.asm.Less).apply(null,arguments)},iC=u._LessEqual=function(){return(iC=u._LessEqual=u.asm.LessEqual).apply(null,arguments)},uC=u._LinSpace=function(){return(uC=u._LinSpace=u.asm.LinSpace).apply(null,arguments)},pC=u._Log=function(){return(pC=u._Log=u.asm.Log).apply(null,arguments)},cC=u._Log1p=function(){return(cC=u._Log1p=u.asm.Log1p).apply(null,arguments)},lC=u._LogicalAnd=function(){return(lC=u._LogicalAnd=u.asm.LogicalAnd).apply(null,arguments)},mC=u._LogicalNot=function(){return(mC=u._LogicalNot=u.asm.LogicalNot).apply(null,arguments)},dC=u._LogicalOr=function(){return(dC=u._LogicalOr=u.asm.LogicalOr).apply(null,arguments)},fC=u._LogicalXor=function(){return(fC=u._LogicalXor=u.asm.LogicalXor).apply(null,arguments)},hC=u._Max=function(){return(hC=u._Max=u.asm.Max).apply(null,arguments)},gC=u._MaxPool=function(){return(gC=u._MaxPool=u.asm.MaxPool).apply(null,arguments)},xC=u._MaxPool3D=function(){return(xC=u._MaxPool3D=u.asm.MaxPool3D).apply(null,arguments)},yC=u._MaxPool3DGrad=function(){return(yC=u._MaxPool3DGrad=u.asm.MaxPool3DGrad).apply(null,arguments)},bC=u._Maximum=function(){return(bC=u._Maximum=u.asm.Maximum).apply(null,arguments)},CC=u._Mean=function(){return(CC=u._Mean=u.asm.Mean).apply(null,arguments)},wC=u._Min=function(){return(wC=u._Min=u.asm.Min).apply(null,arguments)},SC=u._Minimum=function(){return(SC=u._Minimum=u.asm.Minimum).apply(null,arguments)},IC=u._MirrorPad=function(){return(IC=u._MirrorPad=u.asm.MirrorPad).apply(null,arguments)},vC=u._Multinomial=function(){return(vC=u._Multinomial=u.asm.Multinomial).apply(null,arguments)},kC=u._Multiply=function(){return(kC=u._Multiply=u.asm.Multiply).apply(null,arguments)},NC=u._Neg=function(){return(NC=u._Neg=u.asm.Neg).apply(null,arguments)},TC=u._NonMaxSuppressionV3=function(){return(TC=u._NonMaxSuppressionV3=u.asm.NonMaxSuppressionV3).apply(null,arguments)},Am=u._NonMaxSuppressionV4=function(){return(Am=u._NonMaxSuppressionV4=u.asm.NonMaxSuppressionV4).apply(null,arguments)},Fm=u._NonMaxSuppressionV5=function(){return(Fm=u._NonMaxSuppressionV5=u.asm.NonMaxSuppressionV5).apply(null,arguments)},il=u._NotEqual=function(){return(il=u._NotEqual=u.asm.NotEqual).apply(null,arguments)},_C=u._OneHot=function(){return(_C=u._OneHot=u.asm.OneHot).apply(null,arguments)},$C=u._PadV2=function(){return($C=u._PadV2=u.asm.PadV2).apply(null,arguments)},Pp=u._Pow=function(){return(Pp=u._Pow=u.asm.Pow).apply(null,arguments)},Pm=u._Prelu=function(){return(Pm=u._Prelu=u.asm.Prelu).apply(null,arguments)},Op=u._Prod=function(){return(Op=u._Prod=u.asm.Prod).apply(null,arguments)},Mp=u._RealDiv=function(){return(Mp=u._RealDiv=u.asm.RealDiv).apply(null,arguments)},EC=u._Reciprocal=function(){return(EC=u._Reciprocal=u.asm.Reciprocal).apply(null,arguments)},G=u._Relu=function(){return(G=u._Relu=u.asm.Relu).apply(null,arguments)},ae=u._Relu6=function(){return(ae=u._Relu6=u.asm.Relu6).apply(null,arguments)},$e=u._ResizeBilinear=function(){return($e=u._ResizeBilinear=u.asm.ResizeBilinear).apply(null,arguments)},at=u._ResizeBilinearGrad=function(){return(at=u._ResizeBilinearGrad=u.asm.ResizeBilinearGrad).apply(null,arguments)},_t=u._ResizeNearestNeighbor=function(){return(_t=u._ResizeNearestNeighbor=u.asm.ResizeNearestNeighbor).apply(null,arguments)},$t=u._ResizeNearestNeighborGrad=function(){return($t=u._ResizeNearestNeighborGrad=u.asm.ResizeNearestNeighborGrad).apply(null,arguments)},Xe=u._Reverse=function(){return(Xe=u._Reverse=u.asm.Reverse).apply(null,arguments)},Ge=u._RotateWithOffset=function(){return(Ge=u._RotateWithOffset=u.asm.RotateWithOffset).apply(null,arguments)},Gt=u._Round=function(){return(Gt=u._Round=u.asm.Round).apply(null,arguments)},eo=u._Rsqrt=function(){return(eo=u._Rsqrt=u.asm.Rsqrt).apply(null,arguments)},Ma=u._ScatterNd=function(){return(Ma=u._ScatterNd=u.asm.ScatterNd).apply(null,arguments)},Om=u._SearchSorted=function(){return(Om=u._SearchSorted=u.asm.SearchSorted).apply(null,arguments)},ul=u._SelectV2=function(){return(ul=u._SelectV2=u.asm.SelectV2).apply(null,arguments)},RC=u._Selu=function(){return(RC=u._Selu=u.asm.Selu).apply(null,arguments)},yr=u._Sigmoid=function(){return(yr=u._Sigmoid=u.asm.Sigmoid).apply(null,arguments)},Ii=u._Sign=function(){return(Ii=u._Sign=u.asm.Sign).apply(null,arguments)},Mm=u._Sin=function(){return(Mm=u._Sin=u.asm.Sin).apply(null,arguments)},aU=u._Softmax=function(){return(aU=u._Softmax=u.asm.Softmax).apply(null,arguments)},iU=u._Softplus=function(){return(iU=u._Softplus=u.asm.Softplus).apply(null,arguments)},uU=u._SparseFillEmptyRows=function(){return(uU=u._SparseFillEmptyRows=u.asm.SparseFillEmptyRows).apply(null,arguments)},pU=u._SparseReshape=function(){return(pU=u._SparseReshape=u.asm.SparseReshape).apply(null,arguments)},cU=u._SparseSegmentReduction=function(){return(cU=u._SparseSegmentReduction=u.asm.SparseSegmentReduction).apply(null,arguments)},lU=u._SparseToDense=function(){return(lU=u._SparseToDense=u.asm.SparseToDense).apply(null,arguments)},mU=u._Sqrt=function(){return(mU=u._Sqrt=u.asm.Sqrt).apply(null,arguments)},dU=u._Square=function(){return(dU=u._Square=u.asm.Square).apply(null,arguments)},fU=u._SquaredDifference=function(){return(fU=u._SquaredDifference=u.asm.SquaredDifference).apply(null,arguments)},hU=u._Step=function(){return(hU=u._Step=u.asm.Step).apply(null,arguments)},gU=u._StridedSlice=function(){return(gU=u._StridedSlice=u.asm.StridedSlice).apply(null,arguments)},xU=u._Sub=function(){return(xU=u._Sub=u.asm.Sub).apply(null,arguments)},yU=u._Sum=function(){return(yU=u._Sum=u.asm.Sum).apply(null,arguments)},bU=u._Tan=function(){return(bU=u._Tan=u.asm.Tan).apply(null,arguments)},CU=u._Tanh=function(){return(CU=u._Tanh=u.asm.Tanh).apply(null,arguments)},wU=u._TensorScatterUpdate=function(){return(wU=u._TensorScatterUpdate=u.asm.TensorScatterUpdate).apply(null,arguments)},SU=u._Tile=function(){return(SU=u._Tile=u.asm.Tile).apply(null,arguments)},IU=u._TopK=function(){return(IU=u._TopK=u.asm.TopK).apply(null,arguments)},vU=u._Transform=function(){return(vU=u._Transform=u.asm.Transform).apply(null,arguments)},kU=u._Transpose=function(){return(kU=u._Transpose=u.asm.Transpose).apply(null,arguments)},NU=u.__FusedMatMul=function(){return(NU=u.__FusedMatMul=u.asm._FusedMatMul).apply(null,arguments)},TU=u._malloc=function(){return(TU=u._malloc=u.asm.malloc).apply(null,arguments)},_U=u._free=function(){return(_U=u._free=u.asm.free).apply(null,arguments)},$U=u.__emscripten_tls_init=function(){return($U=u.__emscripten_tls_init=u.asm._emscripten_tls_init).apply(null,arguments)},Lm=u._pthread_self=function(){return(Lm=u._pthread_self=u.asm.pthread_self).apply(null,arguments)},EU=u.___errno_location=function(){return(EU=u.___errno_location=u.asm.__errno_location).apply(null,arguments)},Zv=u.__emscripten_thread_init=function(){return(Zv=u.__emscripten_thread_init=u.asm._emscripten_thread_init).apply(null,arguments)},RU=u.__emscripten_thread_crashed=function(){return(RU=u.__emscripten_thread_crashed=u.asm._emscripten_thread_crashed).apply(null,arguments)},DU=u._emscripten_main_thread_process_queued_calls=function(){return(DU=u._emscripten_main_thread_process_queued_calls=u.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},AU=u._emscripten_main_browser_thread_id=function(){return(AU=u._emscripten_main_browser_thread_id=u.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jv=u._emscripten_run_in_main_runtime_thread_js=function(){return(Jv=u._emscripten_run_in_main_runtime_thread_js=u.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},FU=u._emscripten_dispatch_to_thread_=function(){return(FU=u._emscripten_dispatch_to_thread_=u.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},e0=u.__emscripten_proxy_execute_task_queue=function(){return(e0=u.__emscripten_proxy_execute_task_queue=u.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},DC=u.__emscripten_thread_free_data=function(){return(DC=u.__emscripten_thread_free_data=u.asm._emscripten_thread_free_data).apply(null,arguments)},t0=u.__emscripten_thread_exit=function(){return(t0=u.__emscripten_thread_exit=u.asm._emscripten_thread_exit).apply(null,arguments)},r0=u._emscripten_stack_set_limits=function(){return(r0=u._emscripten_stack_set_limits=u.asm.emscripten_stack_set_limits).apply(null,arguments)},AC=u.stackSave=function(){return(AC=u.stackSave=u.asm.stackSave).apply(null,arguments)},Bm=u.stackRestore=function(){return(Bm=u.stackRestore=u.asm.stackRestore).apply(null,arguments)},zm=u.stackAlloc=function(){return(zm=u.stackAlloc=u.asm.stackAlloc).apply(null,arguments)},PU=u.dynCall_iijjiiii=function(){return(PU=u.dynCall_iijjiiii=u.asm.dynCall_iijjiiii).apply(null,arguments)},OU=u.dynCall_jiji=function(){return(OU=u.dynCall_jiji=u.asm.dynCall_jiji).apply(null,arguments)};u.keepRuntimeAlive=Mo,u.wasmMemory=oe,u.cwrap=Ky,u.ExitStatus=Iu,u.PThread=Me;var Vm;Oa=function A(){Vm||o0(),Vm||(Oa=A)};function o0(A){if(A=A||f,wi>0)return;if(S){c(u),Xt(),startWorker(u);return}if(Vs(),wi>0)return;function V(){Vm||(Vm=!0,u.calledRun=!0,!le&&(Xt(),c(u),u.onRuntimeInitialized&&u.onRuntimeInitialized(),Pa()))}u.setStatus?(u.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){u.setStatus(\"\")},1),V()},1)):V()}if(u.preInit)for(typeof u.preInit==\"function\"&&(u.preInit=[u.preInit]);u.preInit.length>0;)u.preInit.pop()();o0();var Wm;m&&(Wm={uncaughtException:process.listeners(\"uncaughtException\").filter(function(A){return!m.uncaughtException.indexOf(A)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(A){return!m.unhandledRejection.indexOf(A)>-1})});var Um;if(typeof WasmBackendModule!=\"undefined\")Um=WasmBackendModule;else if(typeof e!=\"undefined\")Um=e;else throw new Error(\"Could not find wasm module in post.js\");if(Wm){var MU=Um._dispose;Um._dispose=function(){MU(),Wm.uncaughtException.forEach(function(A){process.removeListener(\"uncaughtException\",A)}),Wm.unhandledRejection.forEach(function(A){process.removeListener(\"unhandledRejection\",A)})}}return e.ready}})();typeof Bg==\"object\"&&typeof kv==\"object\"?kv.exports=vv:typeof define==\"function\"&&define.amd?define([],function(){return vv}):typeof Bg==\"object\"&&(Bg.WasmBackendModuleThreadedSimd=vv)});var oB=qt((tAt,rB)=>{rB.exports.wasmWorkerContents=`\"use strict\";var Module={};var ENVIRONMENT_IS_NODE=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require(\"worker_threads\");var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",data=>onmessage({data:data}));var fs=require(\"fs\");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,\"utf8\")+\"//# sourceURL=\"+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+\"\n\");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:Module[\"_pthread_self\"]()})}var err=threadPrintErr;self.alert=threadAlert;Module[\"instantiateWasm\"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);receiveInstance(instance);Module[\"wasmModule\"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({\"cmd\":\"loaded\"})};self.onmessage=e=>{try{if(e.data.cmd===\"load\"){Module[\"wasmModule\"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:\"callHandler\",handler:handler,args:[...arguments]})}}Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob==\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd===\"run\"){Module[\"__emscripten_thread_init\"](e.data.pthread_ptr,0,0,1);Module[\"establishStackSpace\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module[\"executeNotifiedProxyingQueue\"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module[\"invokeEntryPoint\"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!=\"unwind\"){if(ex instanceof Module[\"ExitStatus\"]){if(Module[\"keepRuntimeAlive\"]()){}else{Module[\"__emscripten_thread_exit\"](ex.status)}}else{throw ex}}}}else if(e.data.cmd===\"cancel\"){if(Module[\"_pthread_self\"]()){Module[\"__emscripten_thread_exit\"](-1)}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processProxyingQueue\"){if(initializedJS){Module[\"executeNotifiedProxyingQueue\"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){if(Module[\"__emscripten_thread_crashed\"]){Module[\"__emscripten_thread_crashed\"]()}throw ex}};`});var nB=qt((zg,Tv)=>{var Nv=(()=>{var r=typeof document!=\"undefined\"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!=\"undefined\"&&(r=r||__filename),function(e){e=e||{};var t=typeof e!=\"undefined\"?e:{},o,n;t.ready=new Promise(function(G,ae){o=G,n=ae});var s;typeof process!=\"undefined\"&&process.listeners&&(s={uncaughtException:process.listeners(\"uncaughtException\"),unhandledRejection:process.listeners(\"unhandledRejection\")});var a=Object.assign({},t),i=[],p=\"./this.program\",u=(G,ae)=>{throw ae},c=typeof window==\"object\",l=typeof importScripts==\"function\",m=typeof process==\"object\"&&typeof process.versions==\"object\"&&typeof process.versions.node==\"string\",d=\"\";function f(G){return t.locateFile?t.locateFile(G,d):d+G}var h,g,x,b;function w(G){if(G instanceof Dp)return;E(\"exiting due to exception: \"+G)}if(m){var S=Sv(),k=Iv();l?d=k.dirname(d)+\"/\":d=__dirname+\"/\",h=(G,ae)=>(G=Vs(G)?new URL(G):k.normalize(G),S.readFileSync(G,ae?void 0:\"utf8\")),x=G=>{var ae=h(G,!0);return ae.buffer||(ae=new Uint8Array(ae)),ae},g=(G,ae,$e)=>{G=Vs(G)?new URL(G):k.normalize(G),S.readFile(G,function(at,_t){at?$e(at):ae(_t.buffer)})},process.argv.length>1&&(p=process.argv[1].replace(/\\\\/g,\"/\")),i=process.argv.slice(2),process.on(\"uncaughtException\",function(G){if(!(G instanceof Dp))throw G}),process.on(\"unhandledRejection\",function(G){throw G}),u=(G,ae)=>{if(it())throw process.exitCode=G,ae;w(ae),process.exit(G)},t.inspect=function(){return\"[Emscripten Module object]\"}}else(c||l)&&(l?d=self.location.href:typeof document!=\"undefined\"&&document.currentScript&&(d=document.currentScript.src),r&&(d=r),d.indexOf(\"blob:\")!==0?d=d.substr(0,d.replace(/[?#].*/,\"\").lastIndexOf(\"/\")+1):d=\"\",h=G=>{var ae=new XMLHttpRequest;return ae.open(\"GET\",G,!1),ae.send(null),ae.responseText},l&&(x=G=>{var ae=new XMLHttpRequest;return ae.open(\"GET\",G,!1),ae.responseType=\"arraybuffer\",ae.send(null),new Uint8Array(ae.response)}),g=(G,ae,$e)=>{var at=new XMLHttpRequest;at.open(\"GET\",G,!0),at.responseType=\"arraybuffer\",at.onload=()=>{if(at.status==200||at.status==0&&at.response){ae(at.response);return}$e()},at.onerror=$e,at.send(null)},b=G=>document.title=G);var _=t.print||console.log.bind(console),E=t.printErr||console.warn.bind(console);Object.assign(t,a),a=null,t.arguments&&(i=t.arguments),t.thisProgram&&(p=t.thisProgram),t.quit&&(u=t.quit);var R=4,D;t.wasmBinary&&(D=t.wasmBinary);var F=t.noExitRuntime||!0;typeof WebAssembly!=\"object\"&&fr(\"no native wasm support detected\");var O,M=!1,L;function B(G,ae){G||fr(ae)}var z=typeof TextDecoder!=\"undefined\"?new TextDecoder(\"utf8\"):void 0;function U(G,ae,$e){ae>>>=0;for(var at=ae+$e,_t=ae;G[_t]&&!(_t>=at);)++_t;if(_t-ae>16&&G.buffer&&z)return z.decode(G.subarray(ae,_t));for(var $t=\"\";ae<_t;){var Xe=G[ae++];if(!(Xe&128)){$t+=String.fromCharCode(Xe);continue}var Ge=G[ae++]&63;if((Xe&224)==192){$t+=String.fromCharCode((Xe&31)<<6|Ge);continue}var Gt=G[ae++]&63;if((Xe&240)==224?Xe=(Xe&15)<<12|Ge<<6|Gt:Xe=(Xe&7)<<18|Ge<<12|Gt<<6|G[ae++]&63,Xe<65536)$t+=String.fromCharCode(Xe);else{var eo=Xe-65536;$t+=String.fromCharCode(55296|eo>>10,56320|eo&1023)}}return $t}function j(G,ae){return G>>>=0,G?U(ne,G,ae):\"\"}function H(G,ae,$e,at){if($e>>>=0,!(at>0))return 0;for(var _t=$e,$t=$e+at-1,Xe=0;Xe=55296&&Ge<=57343){var Gt=G.charCodeAt(++Xe);Ge=65536+((Ge&1023)<<10)|Gt&1023}if(Ge<=127){if($e>=$t)break;ae[$e++>>>0]=Ge}else if(Ge<=2047){if($e+1>=$t)break;ae[$e++>>>0]=192|Ge>>6,ae[$e++>>>0]=128|Ge&63}else if(Ge<=65535){if($e+2>=$t)break;ae[$e++>>>0]=224|Ge>>12,ae[$e++>>>0]=128|Ge>>6&63,ae[$e++>>>0]=128|Ge&63}else{if($e+3>=$t)break;ae[$e++>>>0]=240|Ge>>18,ae[$e++>>>0]=128|Ge>>12&63,ae[$e++>>>0]=128|Ge>>6&63,ae[$e++>>>0]=128|Ge&63}}return ae[$e>>>0]=0,$e-_t}function X(G,ae,$e){return H(G,ne,ae,$e)}var J,re,ne,ee,oe,ie,le,ye,_e;function ve(G){J=G,t.HEAP8=re=new Int8Array(G),t.HEAP16=ee=new Int16Array(G),t.HEAP32=ie=new Int32Array(G),t.HEAPU8=ne=new Uint8Array(G),t.HEAPU16=oe=new Uint16Array(G),t.HEAPU32=le=new Uint32Array(G),t.HEAPF32=ye=new Float32Array(G),t.HEAPF64=_e=new Float64Array(G)}var Fe=t.INITIAL_MEMORY||16777216,Pe,st=[],lt=[],We=[],mt=!1;function it(){return F}function ht(){if(t.preRun)for(typeof t.preRun==\"function\"&&(t.preRun=[t.preRun]);t.preRun.length;)Mt(t.preRun.shift());Oa(st)}function gt(){mt=!0,Oa(lt)}function Or(){if(t.postRun)for(typeof t.postRun==\"function\"&&(t.postRun=[t.postRun]);t.postRun.length;)or(t.postRun.shift());Oa(We)}function Mt(G){st.unshift(G)}function Qr(G){lt.unshift(G)}function or(G){We.unshift(G)}var Tt=0,nr=null,sr=null;function Zr(G){Tt++,t.monitorRunDependencies&&t.monitorRunDependencies(Tt)}function Jr(G){if(Tt--,t.monitorRunDependencies&&t.monitorRunDependencies(Tt),Tt==0&&(nr!==null&&(clearInterval(nr),nr=null),sr)){var ae=sr;sr=null,ae()}}function fr(G){t.onAbort&&t.onAbort(G),G=\"Aborted(\"+G+\")\",E(G),M=!0,L=1,G+=\". Build with -sASSERTIONS for more info.\";var ae=new WebAssembly.RuntimeError(G);throw n(ae),ae}var Fa=\"data:application/octet-stream;base64,\";function Mo(G){return G.startsWith(Fa)}function Vs(G){return G.startsWith(\"file://\")}var Xt;Xt=\"tfjs-backend-wasm.wasm\",Mo(Xt)||(Xt=f(Xt));function Pa(G){try{if(G==Xt&&D)return new Uint8Array(D);if(x)return x(G);throw\"both async and sync fetching of the wasm failed\"}catch(ae){fr(ae)}}function el(){if(!D&&(c||l)){if(typeof fetch==\"function\"&&!Vs(Xt))return fetch(Xt,{credentials:\"same-origin\"}).then(function(G){if(!G.ok)throw\"failed to load wasm binary file at '\"+Xt+\"'\";return G.arrayBuffer()}).catch(function(){return Pa(Xt)});if(g)return new Promise(function(G,ae){g(Xt,function($e){G(new Uint8Array($e))},ae)})}return Promise.resolve().then(function(){return Pa(Xt)})}function tl(){var G={env:rl,wasi_snapshot_preview1:rl};function ae(Xe,Ge){var Gt=Xe.exports;t.asm=Gt,O=t.asm.memory,ve(O.buffer),Pe=t.asm.__indirect_function_table,Qr(t.asm.__wasm_call_ctors),Jr(\"wasm-instantiate\")}Zr(\"wasm-instantiate\");function $e(Xe){ae(Xe.instance)}function at(Xe){return el().then(function(Ge){return WebAssembly.instantiate(Ge,G)}).then(function(Ge){return Ge}).then(Xe,function(Ge){E(\"failed to asynchronously prepare wasm: \"+Ge),fr(Ge)})}function _t(){return!D&&typeof WebAssembly.instantiateStreaming==\"function\"&&!Mo(Xt)&&!Vs(Xt)&&!m&&typeof fetch==\"function\"?fetch(Xt,{credentials:\"same-origin\"}).then(function(Xe){var Ge=WebAssembly.instantiateStreaming(Xe,G);return Ge.then($e,function(Gt){return E(\"wasm streaming compile failed: \"+Gt),E(\"falling back to ArrayBuffer instantiation\"),at($e)})}):at($e)}if(t.instantiateWasm)try{var $t=t.instantiateWasm(G,ae);return $t}catch(Xe){E(\"Module.instantiateWasm callback failed with error: \"+Xe),n(Xe)}return _t().catch(n),{}}var jv,wi;function Dp(G){this.name=\"ExitStatus\",this.message=\"Program terminated with exit(\"+G+\")\",this.status=G}function Oa(G){for(;G.length>0;)G.shift()(t)}function ly(){fr(\"\")}function xm(){return 4294901760}function Su(){return xm()}function my(G,ae,$e){ne.copyWithin(G>>>0,ae>>>0,ae+$e>>>0)}function ym(G){try{return O.grow(G-J.byteLength+65535>>>16),ve(O.buffer),1}catch(ae){}}function Ap(G){var ae=ne.length;G=G>>>0;var $e=xm();if(G>$e)return!1;let at=(Gt,eo)=>Gt+(eo-Gt%eo)%eo;for(var _t=1;_t<=4;_t*=2){var $t=ae*(1+.2/_t);$t=Math.min($t,G+100663296);var Xe=Math.min($e,at(Math.max(G,$t),65536)),Ge=ym(Xe);if(Ge)return!0}return!1}var hr={varargs:void 0,get:function(){hr.varargs+=4;var G=ie[hr.varargs-4>>>2];return G},getStr:function(G){var ae=j(G);return ae}};function bm(G){return 52}function dy(G,ae,$e,at,_t){return 70}var fy=[null,[],[]];function Xv(G,ae){var $e=fy[G];ae===0||ae===10?((G===1?_:E)(U($e,0)),$e.length=0):$e.push(ae)}function Yv(G,ae,$e,at){for(var _t=0,$t=0;$t<$e;$t++){var Xe=le[ae>>>2],Ge=le[ae+4>>>2];ae+=8;for(var Gt=0;Gt>>0]);_t+=Ge}return le[at>>>2]=_t,0}function Cm(G){var ae=t[\"_\"+G];return ae}function Iu(G,ae){re.set(G,ae>>>0)}function hy(G,ae,$e,at,_t){var $t={string:yr=>{var Ii=0;if(yr!=null&&yr!==0){var Mm=(yr.length<<2)+1;Ii=il(Mm),X(yr,Ii,Mm)}return Ii},array:yr=>{var Ii=il(yr.length);return Iu(yr,Ii),Ii}};function Xe(yr){return ae===\"string\"?j(yr):ae===\"boolean\"?!!yr:yr}var Ge=Cm(G),Gt=[],eo=0;if(at)for(var Ma=0;MaXe===\"number\"||Xe===\"boolean\"),$t=ae!==\"string\";return $t&&_t&&!at?Cm(G):function(){return hy(G,ae,$e,arguments,at)}}var rl={abort:ly,emscripten_get_heap_max:Su,emscripten_memcpy_big:my,emscripten_resize_heap:Ap,fd_close:bm,fd_seek:dy,fd_write:Yv},xy=tl(),wm=t.___wasm_call_ctors=function(){return(wm=t.___wasm_call_ctors=t.asm.__wasm_call_ctors).apply(null,arguments)},Sm=t._init=function(){return(Sm=t._init=t.asm.init).apply(null,arguments)},yy=t._init_with_threads_count=function(){return(yy=t._init_with_threads_count=t.asm.init_with_threads_count).apply(null,arguments)},Im=t._get_threads_count=function(){return(Im=t._get_threads_count=t.asm.get_threads_count).apply(null,arguments)},by=t._register_tensor=function(){return(by=t._register_tensor=t.asm.register_tensor).apply(null,arguments)},Me=t._dispose_data=function(){return(Me=t._dispose_data=t.asm.dispose_data).apply(null,arguments)},ol=t._dispose=function(){return(ol=t._dispose=t.asm.dispose).apply(null,arguments)},Cy=t._Abs=function(){return(Cy=t._Abs=t.asm.Abs).apply(null,arguments)},vm=t._Acos=function(){return(vm=t._Acos=t.asm.Acos).apply(null,arguments)},Fp=t._Acosh=function(){return(Fp=t._Acosh=t.asm.Acosh).apply(null,arguments)},wy=t._Add=function(){return(wy=t._Add=t.asm.Add).apply(null,arguments)},Sy=t._AddN=function(){return(Sy=t._AddN=t.asm.AddN).apply(null,arguments)},Iy=t._All=function(){return(Iy=t._All=t.asm.All).apply(null,arguments)},vy=t._Any=function(){return(vy=t._Any=t.asm.Any).apply(null,arguments)},ky=t._ArgMax=function(){return(ky=t._ArgMax=t.asm.ArgMax).apply(null,arguments)},km=t._ArgMin=function(){return(km=t._ArgMin=t.asm.ArgMin).apply(null,arguments)},Nm=t._Asin=function(){return(Nm=t._Asin=t.asm.Asin).apply(null,arguments)},Ny=t._Asinh=function(){return(Ny=t._Asinh=t.asm.Asinh).apply(null,arguments)},Ty=t._Atan=function(){return(Ty=t._Atan=t.asm.Atan).apply(null,arguments)},_y=t._Atan2=function(){return(_y=t._Atan2=t.asm.Atan2).apply(null,arguments)},nl=t._Atanh=function(){return(nl=t._Atanh=t.asm.Atanh).apply(null,arguments)},$y=t._AvgPool=function(){return($y=t._AvgPool=t.asm.AvgPool).apply(null,arguments)},Ey=t._AvgPool3D=function(){return(Ey=t._AvgPool3D=t.asm.AvgPool3D).apply(null,arguments)},Ry=t._AvgPool3DGrad=function(){return(Ry=t._AvgPool3DGrad=t.asm.AvgPool3DGrad).apply(null,arguments)},vu=t._BatchMatMul=function(){return(vu=t._BatchMatMul=t.asm.BatchMatMul).apply(null,arguments)},Dy=t._Bincount=function(){return(Dy=t._Bincount=t.asm.Bincount).apply(null,arguments)},Ay=t._Ceil=function(){return(Ay=t._Ceil=t.asm.Ceil).apply(null,arguments)},Tm=t._ClipByValue=function(){return(Tm=t._ClipByValue=t.asm.ClipByValue).apply(null,arguments)},Fy=t._Conv2D=function(){return(Fy=t._Conv2D=t.asm.Conv2D).apply(null,arguments)},sl=t._Conv2DBackpropInput=function(){return(sl=t._Conv2DBackpropInput=t.asm.Conv2DBackpropInput).apply(null,arguments)},Py=t._Conv3D=function(){return(Py=t._Conv3D=t.asm.Conv3D).apply(null,arguments)},Oy=t._Conv3DBackpropFilterV2=function(){return(Oy=t._Conv3DBackpropFilterV2=t.asm.Conv3DBackpropFilterV2).apply(null,arguments)},My=t._Conv3DBackpropInputV2=function(){return(My=t._Conv3DBackpropInputV2=t.asm.Conv3DBackpropInputV2).apply(null,arguments)},Si=t._Cos=function(){return(Si=t._Cos=t.asm.Cos).apply(null,arguments)},al=t._Cosh=function(){return(al=t._Cosh=t.asm.Cosh).apply(null,arguments)},Ly=t._CropAndResize=function(){return(Ly=t._CropAndResize=t.asm.CropAndResize).apply(null,arguments)},By=t._Cumprod=function(){return(By=t._Cumprod=t.asm.Cumprod).apply(null,arguments)},zy=t._Cumsum=function(){return(zy=t._Cumsum=t.asm.Cumsum).apply(null,arguments)},Vy=t._DenseBincount=function(){return(Vy=t._DenseBincount=t.asm.DenseBincount).apply(null,arguments)},_m=t._DepthToSpace=function(){return(_m=t._DepthToSpace=t.asm.DepthToSpace).apply(null,arguments)},$m=t._DepthwiseConv2dNative=function(){return($m=t._DepthwiseConv2dNative=t.asm.DepthwiseConv2dNative).apply(null,arguments)},Wy=t._Diag=function(){return(Wy=t._Diag=t.asm.Diag).apply(null,arguments)},Uy=t._Dilation2D=function(){return(Uy=t._Dilation2D=t.asm.Dilation2D).apply(null,arguments)},Em=t._Dilation2DBackpropFilter=function(){return(Em=t._Dilation2DBackpropFilter=t.asm.Dilation2DBackpropFilter).apply(null,arguments)},Rm=t._Dilation2DBackpropInput=function(){return(Rm=t._Dilation2DBackpropInput=t.asm.Dilation2DBackpropInput).apply(null,arguments)},Gy=t._Elu=function(){return(Gy=t._Elu=t.asm.Elu).apply(null,arguments)},Hy=t._EluGrad=function(){return(Hy=t._EluGrad=t.asm.EluGrad).apply(null,arguments)},Ky=t._Equal=function(){return(Ky=t._Equal=t.asm.Equal).apply(null,arguments)},qy=t._Exp=function(){return(qy=t._Exp=t.asm.Exp).apply(null,arguments)},Dm=t._Expm1=function(){return(Dm=t._Expm1=t.asm.Expm1).apply(null,arguments)},Qv=t._FlipLeftRight=function(){return(Qv=t._FlipLeftRight=t.asm.FlipLeftRight).apply(null,arguments)},jy=t._Floor=function(){return(jy=t._Floor=t.asm.Floor).apply(null,arguments)},Xy=t._FloorDiv=function(){return(Xy=t._FloorDiv=t.asm.FloorDiv).apply(null,arguments)},Yy=t._FusedBatchNorm=function(){return(Yy=t._FusedBatchNorm=t.asm.FusedBatchNorm).apply(null,arguments)},Qy=t._FusedConv2D=function(){return(Qy=t._FusedConv2D=t.asm.FusedConv2D).apply(null,arguments)},Zy=t._FusedDepthwiseConv2D=function(){return(Zy=t._FusedDepthwiseConv2D=t.asm.FusedDepthwiseConv2D).apply(null,arguments)},Jy=t._Gather=function(){return(Jy=t._Gather=t.asm.Gather).apply(null,arguments)},eb=t._GatherNd=function(){return(eb=t._GatherNd=t.asm.GatherNd).apply(null,arguments)},tb=t._Greater=function(){return(tb=t._Greater=t.asm.Greater).apply(null,arguments)},rb=t._GreaterEqual=function(){return(rb=t._GreaterEqual=t.asm.GreaterEqual).apply(null,arguments)},ob=t._IsFinite=function(){return(ob=t._IsFinite=t.asm.IsFinite).apply(null,arguments)},nb=t._IsInf=function(){return(nb=t._IsInf=t.asm.IsInf).apply(null,arguments)},sb=t._IsNan=function(){return(sb=t._IsNan=t.asm.IsNan).apply(null,arguments)},ab=t._LRN=function(){return(ab=t._LRN=t.asm.LRN).apply(null,arguments)},ib=t._LRNGrad=function(){return(ib=t._LRNGrad=t.asm.LRNGrad).apply(null,arguments)},ub=t._LeakyRelu=function(){return(ub=t._LeakyRelu=t.asm.LeakyRelu).apply(null,arguments)},pb=t._Less=function(){return(pb=t._Less=t.asm.Less).apply(null,arguments)},cb=t._LessEqual=function(){return(cb=t._LessEqual=t.asm.LessEqual).apply(null,arguments)},lb=t._LinSpace=function(){return(lb=t._LinSpace=t.asm.LinSpace).apply(null,arguments)},mb=t._Log=function(){return(mb=t._Log=t.asm.Log).apply(null,arguments)},db=t._Log1p=function(){return(db=t._Log1p=t.asm.Log1p).apply(null,arguments)},fb=t._LogicalAnd=function(){return(fb=t._LogicalAnd=t.asm.LogicalAnd).apply(null,arguments)},hb=t._LogicalNot=function(){return(hb=t._LogicalNot=t.asm.LogicalNot).apply(null,arguments)},gb=t._LogicalOr=function(){return(gb=t._LogicalOr=t.asm.LogicalOr).apply(null,arguments)},xb=t._LogicalXor=function(){return(xb=t._LogicalXor=t.asm.LogicalXor).apply(null,arguments)},yb=t._Max=function(){return(yb=t._Max=t.asm.Max).apply(null,arguments)},bb=t._MaxPool=function(){return(bb=t._MaxPool=t.asm.MaxPool).apply(null,arguments)},Cb=t._MaxPool3D=function(){return(Cb=t._MaxPool3D=t.asm.MaxPool3D).apply(null,arguments)},wb=t._MaxPool3DGrad=function(){return(wb=t._MaxPool3DGrad=t.asm.MaxPool3DGrad).apply(null,arguments)},Sb=t._Maximum=function(){return(Sb=t._Maximum=t.asm.Maximum).apply(null,arguments)},Ib=t._Mean=function(){return(Ib=t._Mean=t.asm.Mean).apply(null,arguments)},vb=t._Min=function(){return(vb=t._Min=t.asm.Min).apply(null,arguments)},kb=t._Minimum=function(){return(kb=t._Minimum=t.asm.Minimum).apply(null,arguments)},Nb=t._MirrorPad=function(){return(Nb=t._MirrorPad=t.asm.MirrorPad).apply(null,arguments)},Tb=t._Multinomial=function(){return(Tb=t._Multinomial=t.asm.Multinomial).apply(null,arguments)},_b=t._Multiply=function(){return(_b=t._Multiply=t.asm.Multiply).apply(null,arguments)},$b=t._Neg=function(){return($b=t._Neg=t.asm.Neg).apply(null,arguments)},Eb=t._NonMaxSuppressionV3=function(){return(Eb=t._NonMaxSuppressionV3=t.asm.NonMaxSuppressionV3).apply(null,arguments)},Rb=t._NonMaxSuppressionV4=function(){return(Rb=t._NonMaxSuppressionV4=t.asm.NonMaxSuppressionV4).apply(null,arguments)},Db=t._NonMaxSuppressionV5=function(){return(Db=t._NonMaxSuppressionV5=t.asm.NonMaxSuppressionV5).apply(null,arguments)},Ab=t._NotEqual=function(){return(Ab=t._NotEqual=t.asm.NotEqual).apply(null,arguments)},Fb=t._OneHot=function(){return(Fb=t._OneHot=t.asm.OneHot).apply(null,arguments)},Pb=t._PadV2=function(){return(Pb=t._PadV2=t.asm.PadV2).apply(null,arguments)},Ob=t._Pow=function(){return(Ob=t._Pow=t.asm.Pow).apply(null,arguments)},Mb=t._Prelu=function(){return(Mb=t._Prelu=t.asm.Prelu).apply(null,arguments)},Lb=t._Prod=function(){return(Lb=t._Prod=t.asm.Prod).apply(null,arguments)},Bb=t._RealDiv=function(){return(Bb=t._RealDiv=t.asm.RealDiv).apply(null,arguments)},zb=t._Reciprocal=function(){return(zb=t._Reciprocal=t.asm.Reciprocal).apply(null,arguments)},Vb=t._Relu=function(){return(Vb=t._Relu=t.asm.Relu).apply(null,arguments)},Wb=t._Relu6=function(){return(Wb=t._Relu6=t.asm.Relu6).apply(null,arguments)},Ub=t._ResizeBilinear=function(){return(Ub=t._ResizeBilinear=t.asm.ResizeBilinear).apply(null,arguments)},Gb=t._ResizeBilinearGrad=function(){return(Gb=t._ResizeBilinearGrad=t.asm.ResizeBilinearGrad).apply(null,arguments)},Hb=t._ResizeNearestNeighbor=function(){return(Hb=t._ResizeNearestNeighbor=t.asm.ResizeNearestNeighbor).apply(null,arguments)},Kb=t._ResizeNearestNeighborGrad=function(){return(Kb=t._ResizeNearestNeighborGrad=t.asm.ResizeNearestNeighborGrad).apply(null,arguments)},qb=t._Reverse=function(){return(qb=t._Reverse=t.asm.Reverse).apply(null,arguments)},jb=t._RotateWithOffset=function(){return(jb=t._RotateWithOffset=t.asm.RotateWithOffset).apply(null,arguments)},Xb=t._Round=function(){return(Xb=t._Round=t.asm.Round).apply(null,arguments)},Yb=t._Rsqrt=function(){return(Yb=t._Rsqrt=t.asm.Rsqrt).apply(null,arguments)},Qb=t._ScatterNd=function(){return(Qb=t._ScatterNd=t.asm.ScatterNd).apply(null,arguments)},Zb=t._SearchSorted=function(){return(Zb=t._SearchSorted=t.asm.SearchSorted).apply(null,arguments)},Jb=t._SelectV2=function(){return(Jb=t._SelectV2=t.asm.SelectV2).apply(null,arguments)},eC=t._Selu=function(){return(eC=t._Selu=t.asm.Selu).apply(null,arguments)},tC=t._Sigmoid=function(){return(tC=t._Sigmoid=t.asm.Sigmoid).apply(null,arguments)},rC=t._Sign=function(){return(rC=t._Sign=t.asm.Sign).apply(null,arguments)},oC=t._Sin=function(){return(oC=t._Sin=t.asm.Sin).apply(null,arguments)},nC=t._Softmax=function(){return(nC=t._Softmax=t.asm.Softmax).apply(null,arguments)},sC=t._Softplus=function(){return(sC=t._Softplus=t.asm.Softplus).apply(null,arguments)},aC=t._SparseFillEmptyRows=function(){return(aC=t._SparseFillEmptyRows=t.asm.SparseFillEmptyRows).apply(null,arguments)},iC=t._SparseReshape=function(){return(iC=t._SparseReshape=t.asm.SparseReshape).apply(null,arguments)},uC=t._SparseSegmentReduction=function(){return(uC=t._SparseSegmentReduction=t.asm.SparseSegmentReduction).apply(null,arguments)},pC=t._SparseToDense=function(){return(pC=t._SparseToDense=t.asm.SparseToDense).apply(null,arguments)},cC=t._Sqrt=function(){return(cC=t._Sqrt=t.asm.Sqrt).apply(null,arguments)},lC=t._Square=function(){return(lC=t._Square=t.asm.Square).apply(null,arguments)},mC=t._SquaredDifference=function(){return(mC=t._SquaredDifference=t.asm.SquaredDifference).apply(null,arguments)},dC=t._Step=function(){return(dC=t._Step=t.asm.Step).apply(null,arguments)},fC=t._StridedSlice=function(){return(fC=t._StridedSlice=t.asm.StridedSlice).apply(null,arguments)},hC=t._Sub=function(){return(hC=t._Sub=t.asm.Sub).apply(null,arguments)},gC=t._Sum=function(){return(gC=t._Sum=t.asm.Sum).apply(null,arguments)},xC=t._Tan=function(){return(xC=t._Tan=t.asm.Tan).apply(null,arguments)},yC=t._Tanh=function(){return(yC=t._Tanh=t.asm.Tanh).apply(null,arguments)},bC=t._TensorScatterUpdate=function(){return(bC=t._TensorScatterUpdate=t.asm.TensorScatterUpdate).apply(null,arguments)},CC=t._Tile=function(){return(CC=t._Tile=t.asm.Tile).apply(null,arguments)},wC=t._TopK=function(){return(wC=t._TopK=t.asm.TopK).apply(null,arguments)},SC=t._Transform=function(){return(SC=t._Transform=t.asm.Transform).apply(null,arguments)},IC=t._Transpose=function(){return(IC=t._Transpose=t.asm.Transpose).apply(null,arguments)},vC=t.__FusedMatMul=function(){return(vC=t.__FusedMatMul=t.asm._FusedMatMul).apply(null,arguments)},kC=t._malloc=function(){return(kC=t._malloc=t.asm.malloc).apply(null,arguments)},NC=t._free=function(){return(NC=t._free=t.asm.free).apply(null,arguments)},TC=t.___errno_location=function(){return(TC=t.___errno_location=t.asm.__errno_location).apply(null,arguments)},Am=t.stackSave=function(){return(Am=t.stackSave=t.asm.stackSave).apply(null,arguments)},Fm=t.stackRestore=function(){return(Fm=t.stackRestore=t.asm.stackRestore).apply(null,arguments)},il=t.stackAlloc=function(){return(il=t.stackAlloc=t.asm.stackAlloc).apply(null,arguments)},_C=t.dynCall_iijjiiii=function(){return(_C=t.dynCall_iijjiiii=t.asm.dynCall_iijjiiii).apply(null,arguments)},$C=t.dynCall_jiji=function(){return($C=t.dynCall_jiji=t.asm.dynCall_jiji).apply(null,arguments)};t.cwrap=gy;var Pp;sr=function G(){Pp||Pm(),Pp||(sr=G)};function Pm(G){if(G=G||i,Tt>0||(ht(),Tt>0))return;function ae(){Pp||(Pp=!0,t.calledRun=!0,!M&&(gt(),o(t),t.onRuntimeInitialized&&t.onRuntimeInitialized(),Or()))}t.setStatus?(t.setStatus(\"Running...\"),setTimeout(function(){setTimeout(function(){t.setStatus(\"\")},1),ae()},1)):ae()}if(t.preInit)for(typeof t.preInit==\"function\"&&(t.preInit=[t.preInit]);t.preInit.length>0;)t.preInit.pop()();Pm();var Op;s&&(Op={uncaughtException:process.listeners(\"uncaughtException\").filter(function(G){return!s.uncaughtException.indexOf(G)>-1}),unhandledRejection:process.listeners(\"unhandledRejection\").filter(function(G){return!s.unhandledRejection.indexOf(G)>-1})});var Mp;if(typeof e!=\"undefined\")Mp=e;else if(typeof WasmBackendModuleThreadedSimd!=\"undefined\")Mp=WasmBackendModuleThreadedSimd;else throw new Error(\"Could not find wasm module in post.js\");if(Op){var EC=Mp._dispose;Mp._dispose=function(){EC(),Op.uncaughtException.forEach(function(G){process.removeListener(\"uncaughtException\",G)}),Op.unhandledRejection.forEach(function(G){process.removeListener(\"unhandledRejection\",G)})}}return e.ready}})();typeof zg==\"object\"&&typeof Tv==\"object\"?Tv.exports=Nv:typeof define==\"function\"&&define.amd?define([],function(){return Nv}):typeof zg==\"object\"&&(zg.WasmBackendModule=Nv)});var Lo=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},ro=class{refCount(e){return Lr(\"refCount\")}incRef(e){return Lr(\"incRef\")}timerAvailable(){return!0}time(e){return Lr(\"time\")}read(e){return Lr(\"read\")}readSync(e){return Lr(\"readSync\")}readToGPU(e,t){return Lr(\"readToGPU\")}numDataIds(){return Lr(\"numDataIds\")}disposeData(e,t){return Lr(\"disposeData\")}write(e,t,o){return Lr(\"write\")}move(e,t,o,n,s){return Lr(\"move\")}createTensorFromGPUData(e,t,o){return Lr(\"createTensorFromGPUData\")}memory(){return Lr(\"memory\")}floatPrecision(){return Lr(\"floatPrecision\")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Lr(\"dispose\")}};function Lr(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function a0(r){let e=r.length,t=0;for(;e>0;)t=Math.random()*e|0,e--,Gm(r,e,t)}function HU(r,e){if(r.length!==e.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${e.length}`);let t=r.length,o=0;for(;t>0;)o=Math.random()*t|0,t--,Gm(r,t,o),Gm(e,t,o)}function zp(r,e,t){return Math.max(r,Math.min(e,t))}function KU(r){return r%2===0?r:r+1}function Gm(r,e,t){let o=r[e];r[e]=r[t],r[t]=o}function qU(r){let e=0;for(let t=0;tt+` Shapes ${r} and ${e} must match`)}function oo(r){$(r!=null,()=>\"The input to the tensor constructor must be a non-null value.\")}function Ue(r){if(r.length===0)return 1;let e=r[0];for(let t=1;t0,t,o){return new Promise((n,s)=>{let a=0,i=()=>{if(r()){n();return}a++;let p=e(a);if(t!=null&&a>=t){s();return}o!=null?o(i,p):setTimeout(i,p)};i()})}function tG(r,e){let t=1,o=-1;for(let s=0;s=0)t*=r[s];else if(r[s]===-1){if(o!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${o} and dim ${s}`);o=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(o===-1){if(e>0&&e!==t)throw Error(`Size(${e}) must match the product of shape ${r}`);return r}if(t===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(e%t!==0)throw Error(`The implicit shape can't be a fractional number. Got ${e} / ${t}`);let n=r.slice();return n[o]=e/t,n}function vi(r,e){let t=e.length;return r=r==null?e.map((o,n)=>n):[].concat(r),$(r.every(o=>o>=-t&&o`All values in axis param must be in range [-${t}, ${t}) but got axis ${r}`),$(r.every(o=>Ba(o)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(o=>o<0?t+o:o)}function MC(r,e){let t=[],o=[],n=e!=null&&Array.isArray(e)&&e.length===0,s=e==null||n?null:vi(e,r).sort(),a=0;for(let i=0;ii)&&r[i]===1&&(t.push(r[i]),o.push(i)),s[a]<=i&&a++}r[i]!==1&&(t.push(r[i]),o.push(i))}return{newShape:t,keptDims:o}}function LC(r,e){return Hm(r,e)}function Hm(r,e){let t=null;if(r==null||r===\"float32\")t=new Float32Array(e);else if(r===\"int32\")t=new Int32Array(e);else if(r===\"bool\")t=new Uint8Array(e);else if(r===\"string\")t=new Array(e);else throw new Error(`Unknown data type ${r}`);return t}function BC(r,e){for(let t=0;te+=t.length),e}function Bo(r){return typeof r==\"string\"||r instanceof String}function i0(r){return typeof r==\"boolean\"}function u0(r){return typeof r==\"number\"}function ki(r){return Array.isArray(r)?ki(r[0]):r instanceof Float32Array?\"float32\":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?\"int32\":u0(r)?\"float32\":Bo(r)?\"string\":i0(r)?\"bool\":\"float32\"}function Ws(r){return!!(r&&r.constructor&&r.call&&r.apply)}function Wp(r,e){for(let t=e;t=0;--o)t[o]=t[o+1]*r[o+1];return t}function p0(r,e,t,o=!1){let n=new Array;if(e.length===1){let s=e[0]*(o?2:1);for(let a=0;ap*u)*(o?2:1);for(let p=0;pn*s)*(t?2:1);if(o===0)return[];if(o!==e.length)throw new Error(`[${r}] does not match the input size ${e.length}${t?\" for a complex tensor\":\"\"}.`);return p0(0,r,e,t)}function oG(r,e){if(Array.isArray(r))return r;if(e===\"float32\")return r instanceof Float32Array?r:new Float32Array(r);if(e===\"int32\")return r instanceof Int32Array?r:new Int32Array(r);if(e===\"bool\"||e===\"string\")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${e}`)}function pl(r,e){let t=Up(r,e);for(let o=0;oo*n,1);if(e==null||e===\"float32\")return ku(r,new Float32Array(t));if(e===\"int32\")return ku(r,new Int32Array(t));if(e===\"bool\")return ku(r,new Uint8Array(t));throw new Error(`Unknown data type ${e}`)}function Ct(r){r.forEach(e=>{$(Number.isInteger(e)&&e>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function sG(r,e,t){if(e===0)return 0;if(e===1)return r[0];let o=r[r.length-1];for(let n=0;n{let[n,s]=o.split(\":\");this.urlFlags[n]=cG(n,s)})}};function uG(r){let e={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(t,...o)=>(pG(e,o[0],o[1]),o.join(\"=\"))),e}function pG(r,e,t){r[decodeURIComponent(e)]=decodeURIComponent(t||\"\")}function cG(r,e){let t=e.toLowerCase();return t===\"true\"||t===\"false\"?t===\"true\":`${+t}`===t?+t:e}function P(){return WC}var WC=null;function l0(r){WC=r}var UC;function GC(){if(UC==null){let r;if(typeof window!=\"undefined\")r=window;else if(typeof global!=\"undefined\")r=global;else if(typeof process!=\"undefined\")r=process;else if(typeof self!=\"undefined\")r=self;else throw new Error(\"Could not find a global object\");UC=r}return UC}function lG(){let r=GC();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function ll(r,e){let t=lG();if(t.has(r))return t.get(r);{let o=e();return t.set(r,o),t.get(r)}}var Gs=\"Abs\",zo=\"Acos\",Vo=\"Acosh\",no=\"Add\",Wo=\"AddN\",Uo=\"All\",Go=\"Any\",Hs=\"ArgMax\",Ks=\"ArgMin\",Ho=\"Asin\",Ko=\"Asinh\",qo=\"Atan\",jo=\"Atanh\",Xo=\"Atan2\",Yo=\"AvgPool\",Gp=\"AvgPoolGrad\",qs=\"AvgPool3D\",Ni=\"AvgPool3DGrad\",Qo=\"BatchMatMul\",js=\"BatchToSpaceND\",Zo=\"Bincount\",ml=\"BitwiseAnd\",Kpe=\"BroadcastTo\",Xs=\"BroadcastArgs\",ho=\"Cast\",Jo=\"Ceil\",go=\"ClipByValue\",Ti=\"Complex\",_i=\"ComplexAbs\",Ys=\"Concat\",en=\"Conv2D\",$i=\"Conv2DBackpropFilter\",tn=\"Conv2DBackpropInput\",rn=\"Conv3D\",za=\"Conv3DBackpropFilterV2\",on=\"Conv3DBackpropInputV2\",nn=\"Cos\",sn=\"Cosh\",an=\"Cumprod\",un=\"Cumsum\",pn=\"CropAndResize\",Qs=\"DenseBincount\",cn=\"DepthToSpace\",ln=\"DepthwiseConv2dNative\",Ei=\"DepthwiseConv2dNativeBackpropFilter\",Ri=\"DepthwiseConv2dNativeBackpropInput\",Zs=\"Diag\",mn=\"Dilation2D\",Di=\"Dilation2DBackpropInput\",Ai=\"Dilation2DBackpropFilter\",dn=\"RealDiv\",Fi=\"Einsum\",fn=\"Elu\",Va=\"EluGrad\",Wa=\"Erf\",hn=\"Equal\",gn=\"Exp\",Js=\"ExpandDims\",xn=\"Expm1\",Pi=\"FFT\",ea=\"Fill\",yn=\"FlipLeftRight\",bn=\"Floor\",Cn=\"FloorDiv\",wn=\"FusedBatchNorm\",ta=\"GatherV2\",Sn=\"GatherNd\",In=\"Greater\",vn=\"GreaterEqual\",xo=\"Identity\",Oi=\"IFFT\",Mi=\"Imag\",kn=\"IsFinite\",Nn=\"IsInf\",Tn=\"IsNan\",_n=\"LeakyRelu\",$n=\"Less\",En=\"LessEqual\",Rn=\"LinSpace\",Dn=\"Log\",An=\"Log1p\",Fn=\"LogicalAnd\",Pn=\"LogicalNot\",On=\"LogicalOr\",m0=\"LogicalXor\",qpe=\"LogSoftmax\",jpe=\"LowerBound\",Mn=\"LRN\",Ua=\"LRNGrad\",Xpe=\"MatrixBandPart\",Ln=\"Max\",Bn=\"Maximum\",zn=\"MaxPool\",Hp=\"MaxPoolGrad\",ra=\"MaxPool3D\",Li=\"MaxPool3DGrad\",Bi=\"MaxPoolWithArgmax\",Vn=\"Mean\",Wn=\"Min\",Un=\"Minimum\",Gn=\"MirrorPad\",Ga=\"Mod\",Hn=\"Multinomial\",Kn=\"Multiply\",oa=\"Neg\",qn=\"NotEqual\",jn=\"NonMaxSuppressionV3\",Ha=\"NonMaxSuppressionV4\",Xn=\"NonMaxSuppressionV5\",na=\"OnesLike\",Yn=\"OneHot\",sa=\"Pack\",Qn=\"PadV2\",Ype=\"Pool\",Zn=\"Pow\",Jn=\"Prelu\",es=\"Prod\",Kp=\"RaggedGather\",qp=\"RaggedRange\",jp=\"RaggedTensorToTensor\",aa=\"Range\",zi=\"Real\",ts=\"Reciprocal\",rs=\"Relu\",ia=\"Reshape\",os=\"ResizeNearestNeighbor\",Ka=\"ResizeNearestNeighborGrad\",ns=\"ResizeBilinear\",qa=\"ResizeBilinearGrad\",ss=\"Relu6\",as=\"Reverse\",is=\"Round\",us=\"Rsqrt\",ps=\"ScatterNd\",cs=\"TensorScatterUpdate\",ls=\"SearchSorted\",ua=\"Select\",ms=\"Selu\",pa=\"Slice\",ds=\"Sin\",ja=\"Sinh\",fs=\"Sign\",hs=\"Sigmoid\",gs=\"Softplus\",xs=\"Sqrt\",ys=\"Sum\",ca=\"SpaceToBatchND\",la=\"SplitV\",bs=\"Softmax\",Vi=\"SparseFillEmptyRows\",Xa=\"SparseReshape\",Wi=\"SparseSegmentMean\",Ui=\"SparseSegmentSum\",Cs=\"SparseToDense\",ws=\"SquaredDifference\",Gi=\"Square\",_u=\"StaticRegexReplace\",Ss=\"StridedSlice\",ma=\"StringNGrams\",Hi=\"StringSplit\",Ki=\"StringToHashBucketFast\",Is=\"Sub\",vs=\"Tan\",ks=\"Tanh\",so=\"Tile\",Ns=\"TopK\",Ts=\"Transform\",ao=\"Transpose\",qi=\"Unique\",da=\"Unpack\",ji=\"UnsortedSegmentSum\",Qpe=\"UpperBound\",fa=\"ZerosLike\",yo=\"Step\",$u=\"FromPixels\",_s=\"RotateWithOffset\",bo=\"_FusedMatMul\",Co=\"FusedConv2D\",wo=\"FusedDepthwiseConv2D\";function ha(...r){P().getBool(\"IS_TEST\")||P().getBool(\"PROD\")||console.warn(...r)}function mG(...r){P().getBool(\"IS_TEST\")||P().getBool(\"PROD\")||console.log(...r)}var Xp=ll(\"kernelRegistry\",()=>new Map),dl=ll(\"gradRegistry\",()=>new Map);function fl(r,e){let t=KC(r,e);return Xp.get(t)}function HC(r){return dl.get(r)}function Km(r){let e=Xp.entries(),t=[];for(;;){let{done:o,value:n}=e.next();if(o)break;let[s,a]=n,[i]=s.split(\"_\");i===r&&t.push(a)}return t}function Ya(r){let{kernelName:e,backendName:t}=r,o=KC(e,t);Xp.has(o)&&ha(`The kernel '${e}' for backend '${t}' is already registered`),Xp.set(o,r)}function rce(r){let{kernelName:e}=r;dl.has(e)&&P().getBool(\"DEBUG\")&&ha(`Overriding the gradient for '${e}'`),dl.set(e,r)}function oce(r,e){let t=KC(r,e);if(!Xp.has(t))throw new Error(`The kernel '${r}' for backend '${e}' is not registered`);Xp.delete(t)}function nce(r){if(!dl.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);dl.delete(r)}function sce(r,e){Km(r).forEach(o=>{let n=Object.assign({},o,{backendName:e});Ya(n)})}function KC(r,e){return`${e}_${r}`}var y={};He(y,{arraysEqual:()=>br,arraysEqualWithNull:()=>OC,assert:()=>$,assertNonNegativeIntegerDimensions:()=>Ct,assertNonNull:()=>oo,assertShapesMatch:()=>xt,bytesFromStringArray:()=>VC,bytesPerElement:()=>Vp,checkConversionForErrors:()=>BC,clamp:()=>zp,computeStrides:()=>Us,convertBackendValuesAndArrayBuffer:()=>oG,createScalarValue:()=>bG,createShuffledIndices:()=>JU,decodeString:()=>Jp,distSquared:()=>XU,encodeString:()=>Yi,fetch:()=>wG,fingerPrint64:()=>yG,flatten:()=>Es,getArrayFromDType:()=>Hm,getTypedArrayFromDType:()=>LC,hasEncodingLoss:()=>rG,hexToLong:()=>hl,indexToLoc:()=>aG,inferDtype:()=>ki,inferFromImplicitShape:()=>tG,isBoolean:()=>i0,isFunction:()=>Ws,isInt:()=>Ba,isNumber:()=>u0,isPromise:()=>Tu,isScalarShape:()=>YU,isString:()=>Bo,isTypedArray:()=>Pt,isValidDtype:()=>zC,locToIndex:()=>sG,makeOnesTypedArray:()=>pl,makeZerosNestedTypedArray:()=>nG,makeZerosTypedArray:()=>Up,nearestDivisor:()=>Wp,nearestLargerEven:()=>KU,now:()=>Fu,parseAxisParam:()=>vi,randUniform:()=>jU,repeatedTry:()=>eG,rightPad:()=>Nu,shuffle:()=>a0,shuffleCombo:()=>HU,sizeFromShape:()=>Ue,sizeToSquarishShape:()=>ZU,squeezeShape:()=>MC,sum:()=>qU,swap:()=>Gm,tanh:()=>QU,toNestedArray:()=>ku,toTypedArray:()=>Zp});function qm(r){return r instanceof Float32Array||r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray}var YC=Bp(v0());var Au=YC.default||YC;function hl(r){return Au.fromString(r,!0,16)}var N0=hl(\"c3a5c85c97cb3127\"),Du=hl(\"b492b66fbe98f273\"),Cr=hl(\"9ae16a3b2f90404f\");function XC(r){return r.xor(r.shru(47))}function T0(r,e,t){let o=r.slice(e,e+t);return Au.fromBytes(Array.from(o),!0,!0)}function wt(r,e){return T0(r,e,8)}function k0(r,e){return T0(r,e,4)}function Yt(r,e){return e===0?r:r.shru(e).or(r.shl(64-e))}function Xi(r,e,t=hl(\"9ddfea08eb382d69\")){let o=r.xor(e).mul(t);o=o.xor(o.shru(47));let n=e.xor(o).mul(t);return n=n.xor(n.shru(47)),n=n.mul(t),n}function fG(r,e,t,o,n,s){n=n.add(r),s=Yt(s.add(n).add(o),21);let a=n;return n=n.add(e),n=n.add(t),s=s.add(Yt(n,44)),[n.add(o),s.add(a)]}function Xm(r,e,t,o){return fG(wt(r,e),wt(r,e+8),wt(r,e+16),wt(r,e+24),t,o)}function hG(r,e=r.length){if(e>=8){let t=Cr.add(e*2),o=wt(r,0).add(Cr),n=wt(r,e-8),s=Yt(n,37).mul(t).add(o),a=Yt(o,25).add(n).mul(t);return Xi(s,a,t)}if(e>=4){let t=Cr.add(e*2),o=k0(r,0);return Xi(o.shl(3).add(e),k0(r,e-4),t)}if(e>0){let t=r[0],o=r[e>>1],n=r[e-1],s=t+(o<<8),a=e+(n<<2);return XC(Cr.mul(s).xor(N0.mul(a))).mul(Cr)}return Cr}function gG(r,e=r.length){let t=Cr.add(e*2),o=wt(r,0).mul(Du),n=wt(r,8),s=wt(r,e-8).mul(t),a=wt(r,e-16).mul(Cr);return Xi(Yt(o.add(n),43).add(Yt(s,30)).add(a),o.add(Yt(n.add(Cr),18)).add(s),t)}function xG(r,e=r.length){let t=Cr.add(e*2),o=wt(r,0).mul(Cr),n=wt(r,8),s=wt(r,e-8).mul(t),a=wt(r,e-16).mul(Cr),i=Yt(o.add(n),43).add(Yt(s,30)).add(a),p=Xi(i,o.add(Yt(n.add(Cr),18)).add(s),t),u=wt(r,16).mul(t),c=wt(r,24),l=i.add(wt(r,e-32)).mul(t),m=p.add(wt(r,e-24)).mul(t);return Xi(Yt(u.add(c),43).add(Yt(l,30)).add(m),u.add(Yt(c.add(o),18)).add(l),t)}function yG(r,e=r.length){let t=Au.fromNumber(81,!0);if(e<=32)return e<=16?hG(r,e):gG(r,e);if(e<=64)return xG(r,e);let o=t,n=t.mul(Du).add(113),s=XC(n.mul(Cr).add(113)).mul(Cr),a=[Au.UZERO,Au.UZERO],i=[Au.UZERO,Au.UZERO];o=o.mul(Cr).add(wt(r,0));let p=0,u=(e-1>>6)*64,c=u+(e-1&63)-63;do o=Yt(o.add(n).add(a[0]).add(wt(r,p+8)),37).mul(Du),n=Yt(n.add(a[1]).add(wt(r,p+48)),42).mul(Du),o=o.xor(i[1]),n=n.add(a[0]).add(wt(r,p+40)),s=Yt(s.add(i[0]),33).mul(Du),a=Xm(r,p,a[1].mul(Du),o.add(i[0])),i=Xm(r,p+32,s.add(i[1]),n.add(wt(r,p+16))),[s,o]=[o,s],p+=64;while(p!==u);let l=Du.add(s.and(255).shl(1));return p=c,i[0]=i[0].add(e-1&63),a[0]=a[0].add(i[0]),i[0]=i[0].add(a[0]),o=Yt(o.add(n).add(a[0]).add(wt(r,p+8)),37).mul(l),n=Yt(n.add(a[1]).add(wt(r,p+48)),42).mul(l),o=o.xor(i[1].mul(9)),n=n.add(a[0].mul(9).add(wt(r,p+40))),s=Yt(s.add(i[0]),33).mul(l),a=Xm(r,p,a[1].mul(l),o.add(i[0])),i=Xm(r,p+32,s.add(i[1]),n.add(wt(r,p+16))),[s,o]=[o,s],Xi(Xi(a[0],i[0],l).add(XC(n).mul(N0)).add(s),Xi(a[1],i[1],l).add(o),l)}function bG(r,e){return e===\"string\"?Yi(r):Zp([r],e)}function CG(r,e){return r instanceof Float32Array&&e===\"float32\"||r instanceof Int32Array&&e===\"int32\"||r instanceof Uint8Array&&e===\"bool\"}function Zp(r,e){if(e===\"string\")throw new Error(\"Cannot convert a string[] to a TypedArray\");if(Array.isArray(r)&&(r=Es(r)),P().getBool(\"DEBUG\")&&BC(r,e),CG(r,e))return r;if(e==null||e===\"float32\"||e===\"complex64\")return new Float32Array(r);if(e===\"int32\")return new Int32Array(r);if(e===\"bool\"){let t=new Uint8Array(r.length);for(let o=0;o{n=o()},a,i=Fu();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(s);else{s();for(let u of n)u.dataSync();a=Promise.resolve({kernelMs:Fu()-i})}if(P().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\"))for(let u=0;u{SG(l,c.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:a.then(u=>u.kernelMs),extraInfo:a.then(u=>u.getExtraProfileInfo!=null?u.getExtraProfileInfo():\"\")}}logKernelProfile(e){let{kernelName:t,outputs:o,timeMs:n,inputs:s,extraInfo:a}=e;o.forEach(i=>{Promise.all([i.data(),n,a]).then(p=>{this.logger.logKernelProfile(t,i,p[0],p[1],s,p[2])})})}};function SG(r,e,t){if(e!==\"float32\")return!1;for(let o=0;o0?h:\"\"} `}}console.log(`%c${p}\t%c${i}\t%c${u}D ${l}\t%c${c}\t%c${m}\t%c${a}`,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\",\"color: steelblue\")}};function _0(r,e,t){let o={},n={};for(let p=0;po[h.id]=!0),d=!0,n[u.id]=!0;break}if(d)break}}let s={};s[t.id]=!0;let a={};for(let p=r.length-1;p>=0;p--){let u=r[p],c=u.inputs;for(let l=0;l=0;n--){let s=e[n],a=[];if(s.outputs.forEach(p=>{let u=r[p.id];u!=null?a.push(u):a.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let i=s.gradient(a);for(let p in s.inputs){if(!(p in i))throw new Error(`Cannot backprop through input ${p}. Available gradients found: ${Object.keys(i)}.`);let u=t(()=>i[p]());if(u.dtype!==\"float32\")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${p} must have 'float32' dtype, but has '${u.dtype}'`);let c=s.inputs[p];if(!br(u.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${p}' has shape '${u.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=u;else{let l=r[c.id];r[c.id]=o(l,u),l.dispose()}}}}var E0=20,gl=3,ZC=7;function R0(r,e,t,o){let n=Us(e),s=IG(r,e,t,n),a=e.length,i=Qm(r,e,t,n,s),p=[\"Tensor\"];return o&&(p.push(` dtype: ${t}`),p.push(` rank: ${a}`),p.push(` shape: [${e}]`),p.push(\" values:\")),p.push(i.map(u=>\" \"+u).join(`\n`)),p.join(`\n`)}function IG(r,e,t,o){let n=Ue(e),s=o[o.length-1],a=new Array(s).fill(0),i=e.length,p=t===\"complex64\"?yl(r):r;if(i>1)for(let u=0;uE0){let g=gl*a,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((i-gl)*a,i*a));return t===\"complex64\"&&(x=yl(x),b=yl(b)),[\"[\"+x.map((w,S)=>xl(w,n[S],t)).join(\", \")+\", ..., \"+b.map((w,S)=>xl(w,n[i-gl+S],t)).join(\", \")+\"]\"]}return[\"[\"+(t===\"complex64\"?yl(r):Array.from(r)).map((g,x)=>xl(g,n[x],t)).join(\", \")+\"]\"]}let u=e.slice(1),c=o.slice(1),l=o[0]*a,m=[];if(i>E0){for(let h=0;h0?m[0]+d:\"\");for(let h=1;h`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t===\"complex64\")throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=o||Hm(t,this.size),this.strides=Us(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let o=this.locToIndex(t);this.values[o]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let s=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(s)}t++}let o=e[e.length-1];for(let n=0;nJp(o))}catch(o){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}}return e}dataToGPU(e){return this.throwIfDisposed(),Rs().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Rs().readSync(this.dataId);if(this.dtype===\"string\")try{return e.map(t=>Jp(t))}catch(t){throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\")}return e}async bytes(){this.throwIfDisposed();let e=await Rs().read(this.dataId);return this.dtype===\"string\"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Rs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")}print(e=!1){return ec.print(this,e)}clone(){return this.throwIfDisposed(),ec.clone(this)}toString(e=!1){let t=this.dataSync();return R0(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),ec.cast(this,e)}variable(e=!0,t,o){return this.throwIfDisposed(),Rs().makeVariable(this,e,t,o)}};Object.defineProperty(pt,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function kG(){return ll(\"Tensor\",()=>pt)}kG();var Qa=class extends pt{constructor(e,t,o,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=o}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!br(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Rs().disposeTensor(this),this.dataId=e.dataId,Rs().incRef(this,null)}dispose(){Rs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Qa,Symbol.hasInstance,{value:r=>r instanceof pt&&r.assign!=null&&r.assign instanceof Function});var M0={};He(M0,{assertTypesMatch:()=>nw,getTensorsInContainer:()=>bl,isTensorInList:()=>TG,makeTypesMatch:()=>Oe});var JC;(function(r){r.R0=\"R0\",r.R1=\"R1\",r.R2=\"R2\",r.R3=\"R3\",r.R4=\"R4\",r.R5=\"R5\",r.R6=\"R6\"})(JC||(JC={}));var ew;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"int32\",r.complex64=\"complex64\"})(ew||(ew={}));var tw;(function(r){r.float32=\"float32\",r.int32=\"int32\",r.bool=\"bool\",r.complex64=\"complex64\"})(tw||(tw={}));var rw;(function(r){r.float32=\"float32\",r.int32=\"float32\",r.bool=\"float32\",r.complex64=\"complex64\"})(rw||(rw={}));var ow;(function(r){r.float32=\"complex64\",r.int32=\"complex64\",r.bool=\"complex64\",r.complex64=\"complex64\"})(ow||(ow={}));var NG={float32:rw,int32:ew,bool:tw,complex64:ow};function dt(r,e){if(r===\"string\"||e===\"string\"){if(r===\"string\"&&e===\"string\")return\"string\";throw new Error(`Can not upcast ${r} with ${e}`)}return NG[r][e]}function Za(r){return dt(r,\"int32\")}function Zm(r){return r!=null&&typeof r==\"object\"&&\"texture\"in r&&r.texture instanceof WebGLTexture}function Jm(r){return typeof GPUBuffer!=\"undefined\"&&r!=null&&typeof r==\"object\"&&\"buffer\"in r&&r.buffer instanceof GPUBuffer}function Oe(r,e){if(r.dtype===e.dtype)return[r,e];let t=dt(r.dtype,e.dtype);return[r.cast(t),e.cast(t)]}function nw(r,e){$(r.dtype===e.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${e.dtype}) input must match`)}function TG(r,e){return e.some(t=>t.id===r.id)}function bl(r){let e=[];return O0(r,e,new Set),e}function O0(r,e,t){if(r==null)return;if(r instanceof pt){e.push(r);return}if(!_G(r))return;let o=r;for(let n in o){let s=o[n];t.has(s)||(t.add(s),O0(s,e,t))}}function _G(r){return Array.isArray(r)||typeof r==\"object\"}function sw(r){return r.kernelName!=null}var ed=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Qi=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ed}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Km(e).forEach(o=>{o.disposeFunc!=null&&o.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let o=t.factory();if(o&&!(o instanceof ro)&&typeof o.then==\"function\"){let n=++this.pendingBackendInitId,s=o.then(a=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(o),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),n))}scopedRun(e,t,o){e();try{let n=o();return t(),n}catch(n){throw t(),n}}nextTensorId(){return Qi.nextTensorId++}nextVariableId(){return Qi.nextVariableId++}clone(e){let t=T.runKernel(xo,{x:e}),o={x:e},n=a=>({x:()=>{let i=\"float32\",p={x:a},u={dtype:i};return T.runKernel(ho,p,u)}}),s=[];return this.addTapeNode(this.state.activeScope.name,o,[t],n,s,{}),t}runKernel(e,t,o){if(this.backendName==null&&this.backend,!(fl(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:o})}shouldCheckForMemLeaks(){return this.ENV.getBool(\"IS_TEST\")}checkKernelForMemLeak(e,t,o){let n=this.backend.numDataIds(),s=0;o.forEach(p=>{s+=p.dtype===\"complex64\"?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,o=[],n=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let p,u=sw(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:\"\";if(sw(e)){let{kernelName:f,inputs:h,attrs:g}=e;this.backendName==null&&this.backend;let x=fl(f,this.backendName);$(x!=null,()=>`Cannot find registered kernel '${f}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();p=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(p)?p:[p];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(f,b,w);let S=w.map(k=>k.rank!=null?k:this.makeTensorFromTensorInfo(k));if(n){let k=this.getTensorsForGradient(f,h,S);o=this.saveTensorsForBackwardMode(k)}return S}}else{let{forwardFunc:f}=e,h=g=>{n&&(o=g.map(x=>this.keep(this.clone(x))))};i=()=>{let g=this.backend.numDataIds();p=this.tidy(()=>f(this.backend,h));let x=Array.isArray(p)?p:[p];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(u,g,x),x}}let{inputs:c,attrs:l}=e,m=sw(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool(\"DEBUG\")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(u,c,()=>i()),this.ENV.getBool(\"DEBUG\")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(u,c,t,m,o,l),this.state.profiling&&this.state.activeProfile.kernels.push({name:u,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(f=>c[f]!=null?c[f].shape:null),outputShapes:t.map(f=>f.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(p)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(o=>this.keep(this.clone(o)))}getTensorsForGradient(e,t,o){let n=HC(e);if(n!=null){let s=n.inputsToSave||[],a=n.outputsToSave||[],i;n.saveAllInputs?($(Array.isArray(t),()=>\"saveAllInputs is true, expected inputs to be an array.\"),i=Object.keys(t).map(u=>t[u])):i=s.map(u=>t[u]);let p=o.filter((u,c)=>a[c]);return i.concat(p)}return[]}makeTensor(e,t,o,n){if(e==null)throw new Error(\"Values passed to engine.makeTensor() are null\");o=o||\"float32\",n=n||this.backend;let s=e;o===\"string\"&&Bo(e[0])&&(s=e.map(p=>Yi(p)));let a=n.write(s,t,o),i=new pt(t,o,a,this.nextTensorId());if(this.trackTensor(i,n),o===\"string\"){let p=this.state.tensorInfo.get(a),u=VC(s);this.state.numBytes+=u-p.bytes,p.bytes=u}return i}makeTensorFromDataId(e,t,o,n){o=o||\"float32\";let s={dataId:e,shape:t,dtype:o};return this.makeTensorFromTensorInfo(s,n)}makeTensorFromTensorInfo(e,t){let{dataId:o,shape:n,dtype:s}=e,a=new pt(n,s,o,this.nextTensorId());return this.trackTensor(a,t),a}makeVariable(e,t=!0,o,n){o=o||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let s=new Qa(e,t,o,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(e,t){this.state.numTensors++,e.dtype===\"string\"&&this.state.numStringTensors++;let o=0;e.dtype!==\"complex64\"&&e.dtype!==\"string\"&&(o=e.size*Vp(e.dtype)),this.state.numBytes+=o,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o})),e instanceof Qa||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype===\"string\"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!==\"complex64\"&&e.dtype!==\"string\"){let o=e.size*Vp(e.dtype);this.state.numBytes-=o}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,o=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-o;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,o,n,s,a){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:o,saved:s},p=HC(e);p!=null&&(n=p.gradFunc),n!=null&&(i.gradient=u=>(u=u.map((c,l)=>{if(c==null){let m=o[l],d=Up(m.size,m.dtype);return this.makeTensor(d,m.shape,m.dtype)}return c}),n(u.length>1?u:u[0],s,a))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:\"unnamed scope\",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=bl(e),o=new Set(t.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===n.id&&this.track(s)})}gradients(e,t,o,n=!1){if($(t.length>0,()=>\"gradients() received an empty list of xs.\"),o!=null&&o.dtype!==\"float32\")throw new Error(`dy must have 'float32' dtype, but has '${o.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy(\"forward\",e));$(s instanceof pt,()=>\"The result y returned by f() must be a tensor.\");let a=_0(this.state.activeTape,t,s);if(!n&&a.length===0&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");return this.tidy(\"backward\",()=>{let i={};i[s.id]=o==null?$G(s.shape):o,$0(i,a,u=>this.tidy(u),EG);let p=t.map(u=>i[u.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(u=>{for(let c of u.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:p}})}customGrad(e){return $(Ws(e),()=>\"The f passed in customGrad(f) must be a function.\"),(...t)=>{$(t.every(i=>i instanceof pt),()=>\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");let o,n={};t.forEach((i,p)=>{n[p]=i});let s=(i,p)=>(o=e(...t,p),$(o.value instanceof pt,()=>\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),$(Ws(o.gradFunc),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),o.value),a=(i,p)=>{let u=o.gradFunc(i,p),c=Array.isArray(u)?u:[u];$(c.length===t.length,()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),$(c.every(m=>m instanceof pt),()=>\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");let l={};return c.forEach((m,d)=>{l[d]=()=>m}),l};return this.runKernelFunc({forwardFunc:s,backwardsFunc:a,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Fu(),o=await this.backend.time(e);return o.wallMs=Fu()-t,o}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new ed;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Qi.nextTensorId=0;Qi.nextVariableId=0;function $G(r){let e=pl(Ue(r),\"float32\");return T.makeTensor(e,r,\"float32\")}function aw(){let r=GC();if(r._tfengine==null){let e=new cl(r);r._tfengine=new Qi(e)}return l0(r._tfengine.ENV),A0(()=>r._tfengine),r._tfengine}var T=aw();function EG(r,e){let t={a:r,b:e};return T.runKernel(no,t)}var Zi={};He(Zi,{isBrowser:()=>uw,isMobile:()=>AG,mockIsMobile:()=>DG});function RG(){return typeof navigator!=\"undefined\"&&navigator!=null}var iw;function DG(r){iw=r}function AG(r){if(iw!==void 0)return iw;if(r||RG()){if(r||(r=navigator),r.product===\"ReactNative\")return!0;let e=r.userAgent||r.vendor||(typeof window!=\"undefined\"?window.opera:\"\");if(!e){let t=r;return t.userAgentData&&t.userAgentData.mobile}return/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i.test(e.substr(0,4))}return!1}function uw(){return typeof window!=\"undefined\"&&window.document!=null||typeof WorkerGlobalScope!=\"undefined\"}var _r=P();_r.registerFlag(\"DEBUG\",()=>!1,r=>{r&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")});_r.registerFlag(\"IS_BROWSER\",()=>uw());_r.registerFlag(\"IS_NODE\",()=>typeof process!=\"undefined\"&&typeof process.versions!=\"undefined\"&&typeof process.versions.node!=\"undefined\");_r.registerFlag(\"IS_CHROME\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));_r.registerFlag(\"IS_SAFARI\",()=>typeof navigator!=\"undefined\"&&navigator!=null&&navigator.userAgent!=null&&/Safari/.test(navigator.userAgent)&&/Apple/.test(navigator.vendor));_r.registerFlag(\"PROD\",()=>!1);_r.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",()=>_r.getBool(\"DEBUG\"));_r.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\",()=>!0);_r.registerFlag(\"IS_TEST\",()=>!1);_r.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\",()=>_r.getBool(\"DEBUG\"));_r.registerFlag(\"WRAP_TO_IMAGEBITMAP\",()=>!1);_r.registerFlag(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\",()=>!1);_r.registerFlag(\"USE_SETTIMEOUTCUSTOM\",()=>!1);function ar(r,e){let t=r;if(Pt(r))return e===\"string\"?[]:[r.length];if(Zm(r)){let n=r.channels||\"RGBA\";return[r.height,r.width*n.length]}else if(Jm(r))return[r.buffer.size/(e==null?4:Vp(e))];if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(t)||Pt(t)&&e!==\"string\";)o.push(t.length),t=t[0];return Array.isArray(r)&&P().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&B0(r,o,[]),o}function B0(r,e,t){if(t=t||[],!Array.isArray(r)&&!Pt(r)){$(e.length===0,()=>`Element arr[${t.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${e[0]} elements`);return}$(e.length>0,()=>`Element arr[${t.join(\"][\")}] should be a primitive, but is an array of ${r.length} elements`),$(r.length===e[0],()=>`Element arr[${t.join(\"][\")}] should have ${e[0]} elements, but has ${r.length} elements`);let o=e.slice(1);for(let n=0;n=0&&(n=o),L0(o,n,e,t),r==null||!Pt(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\"){let p=r==null?\"null\":r.constructor.name;throw new Error(`Argument '${e}' passed to '${t}' must be a Tensor or TensorLike, but got '${p}'`)}let s=ar(r,n);!Pt(r)&&!Array.isArray(r)&&(r=[r]);let i=n!==\"string\"?Zp(r,n):Es(r,[],!0);return T.makeTensor(i,s,n)}function Ja(r,e,t,o=\"numeric\"){if(!Array.isArray(r))throw new Error(`Argument ${e} passed to ${t} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);return r.map((s,a)=>v(s,`${e}[${a}]`,t,o))}var pw=\"__op\";function N(r){let e=Object.keys(r);if(e.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${e.length} keys.`);let t=e[0],o=r[t];t.endsWith(\"_\")&&(t=t.substring(0,t.length-1)),t=t+pw;let n=(...s)=>{T.startScope(t);try{let a=o(...s);return Tu(a)&&console.error(\"Cannot return a Promise inside of tidy.\"),T.endScope(a),a}catch(a){throw T.endScope(null),a}};return Object.defineProperty(n,\"name\",{value:t,configurable:!0}),n}function FG(r,e){let t=v(r,\"real\",\"complex\"),o=v(e,\"imag\",\"complex\");xt(t.shape,o.shape,`real and imag shapes, ${t.shape} and ${o.shape}, must match in call to tf.complex().`);let n={real:t,imag:o};return T.runKernel(Ti,n)}var $r=N({complex_:FG});function wr(r,e,t,o){if(o==null)o=ki(r);else if(o===\"complex64\")throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(Jm(r)||Zm(r)){if(o!==\"float32\"&&o!==\"int32\")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${o}.`);return T.backend.createTensorFromGPUData(r,e||t,o)}if(!Pt(r)&&!Array.isArray(r)&&typeof r!=\"number\"&&typeof r!=\"boolean\"&&typeof r!=\"string\")throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");if(e!=null){Ct(e);let n=Ue(e),s=Ue(t);$(n===s,()=>`Based on the provided shape, [${e}], the tensor should have ${n} values but has ${s}`);for(let a=0;a`Error creating a new Tensor. Inferred shape (${t}) does not match the provided shape (${e}). `)}}return!Pt(r)&&!Array.isArray(r)&&(r=[r]),e=e||t,r=o!==\"string\"?Zp(r,o):Es(r,[],!0),T.makeTensor(r,e,o)}function ir(r,e,t){let o=ar(r,t);return wr(r,e,o,t)}var Cl={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var td=4;async function V0(r,e){let t=[],o=[],n=Array.isArray(r)?r.map(a=>a.name):Object.keys(r);for(let a=0;a{let m=await p.bytes(),d=m.reduce((g,x)=>g+x.length,0)+td*m.length,f=new Uint8Array(d),h=0;for(let g=0;g{if(e+=s.byteLength,t.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let o=new Uint8Array(e),n=0;return t.forEach(s=>{o.set(new Uint8Array(s.buffer),n),n+=s.byteLength}),o.buffer}var cw=typeof Buffer!=\"undefined\"&&(typeof Blob==\"undefined\"||typeof atob==\"undefined\"||typeof btoa==\"undefined\");function z0(r){return cw?Buffer.byteLength(r):new Blob([r]).size}function W0(r){if(cw)return Buffer.from(r).toString(\"base64\");let e=new Uint8Array(r),t=\"\";for(let o=0,n=e.length;o{e+=n.byteLength});let t=new Uint8Array(e),o=0;return r.forEach(n=>{t.set(new Uint8Array(n),o),o+=n.byteLength}),t.buffer}function lw(r){let e=\"/\";for(r=r.trim();r.endsWith(e);)r=r.slice(0,r.length-1);let t=r.split(e);return t[t.length-1]}function od(r,e){let t={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:e};return r.signature!=null&&(t.signature=r.signature),r.userDefinedMetadata!=null&&(t.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(t.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(t.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(t.trainingConfig=r.trainingConfig),t}function mw(r,e,t){let o={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(o.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!e)throw new Error(\"modelJSON has weightsManifest but weightSpecs is null\");if(!t)throw new Error(\"modelJSON has weightsManifest but weightData is null\");o.weightSpecs=e,o.weightData=t}return r.signature!=null&&(o.signature=r.signature),r.userDefinedMetadata!=null&&(o.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(o.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(o.initializerSignature=r.initializerSignature),o}async function rc(r,e){let t,o;return r.weightsManifest!=null&&([t,o]=await e(r.weightsManifest)),mw(r,t,o)}function ga(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:r.modelTopology==null?0:z0(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:z0(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function nd(r){let e=[];for(let t of r)e.push(...t.weights);return e}function OG(){let r=t=>{let o=t<<13,n=0;for(;!(o&8388608);)n-=8388608,o<<=1;return o&=-8388609,n+=947912704,o|n},e=new Uint32Array(2048);e[0]=0;for(let t=1;t<1024;t++)e[t]=r(t);for(let t=1024;t<2048;t++)e[t]=939524096+(t-1024<<13);return e}function MG(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let e=1;e<31;e++)r[e]=e<<23;for(let e=33;e<63;e++)r[e]=2147483648+(e-32<<23);return r}function LG(){let r=new Uint32Array(64);for(let e=0;e<64;e++)r[e]=1024;return r[0]=r[32]=0,r}function BG(){let r=OG(),e=MG(),t=LG();return o=>{let n=new ArrayBuffer(4*o.length),s=new Uint32Array(n);for(let a=0;a>10]+(i&1023)]+e[i>>10];s[a]=p}return new Float32Array(n)}}var ft=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return ft.instance==null&&(ft.instance=new ft),ft.instance}static registerSaveRouter(e){ft.getInstance().saveRouters.push(e)}static registerLoadRouter(e){ft.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return ft.getHandlers(e,\"save\")}static getLoadHandlers(e,t){return ft.getHandlers(e,\"load\",t)}static getHandlers(e,t,o){let n=[];return(t===\"load\"?ft.getInstance().loadRouters:ft.getInstance().saveRouters).forEach(a=>{let i=a(e,o);i!==null&&n.push(i)}),n}},G0=r=>ft.registerSaveRouter(r),H0=r=>ft.registerLoadRouter(r),K0=r=>ft.getSaveHandlers(r),q0=(r,e)=>ft.getLoadHandlers(r,e);var dw=\"tensorflowjs\",fw=1,Pu=\"models_store\",Ji=\"model_info_store\";function j0(){if(!P().getBool(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");let r=typeof window==\"undefined\"?self:window,e=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(e==null)throw new Error(\"The current browser does not appear to support IndexedDB.\");return e}function hw(r){let e=r.result;e.createObjectStore(Pu,{keyPath:\"modelPath\"}),e.createObjectStore(Ji,{keyPath:\"modelPath\"})}var xa=class{constructor(e){if(this.indexedDB=j0(),e==null||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((o,n)=>{let s=this.indexedDB.open(dw,fw);s.onupgradeneeded=()=>hw(s),s.onsuccess=()=>{let a=s.result;if(t==null){let i=a.transaction(Pu,\"readonly\"),u=i.objectStore(Pu).get(this.modelPath);u.onsuccess=()=>{if(u.result==null)return a.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));o(u.result.modelArtifacts)},u.onerror=c=>(a.close(),n(u.error)),i.oncomplete=()=>a.close()}else{let i=ga(t),p=a.transaction(Ji,\"readwrite\"),u=p.objectStore(Ji),c;try{c=u.put({modelPath:this.modelPath,modelArtifactsInfo:i})}catch(m){return n(m)}let l;c.onsuccess=()=>{l=a.transaction(Pu,\"readwrite\");let m=l.objectStore(Pu),d;try{d=m.put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i})}catch(f){return n(f)}d.onsuccess=()=>o({modelArtifactsInfo:i}),d.onerror=f=>{u=p.objectStore(Ji);let h=u.delete(this.modelPath);h.onsuccess=()=>(a.close(),n(d.error)),h.onerror=g=>(a.close(),n(d.error))}},c.onerror=m=>(a.close(),n(c.error)),p.oncomplete=()=>{l==null?a.close():l.oncomplete=()=>a.close()}}},s.onerror=a=>n(s.error)})}};xa.URL_SCHEME=\"indexeddb://\";var X0=r=>P().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(xa.URL_SCHEME)?zG(r.slice(xa.URL_SCHEME.length)):null;ft.registerSaveRouter(X0);ft.registerLoadRouter(X0);function zG(r){return new xa(r)}function VG(r){return r.startsWith(xa.URL_SCHEME)?r.slice(xa.URL_SCHEME.length):r}var sd=class{constructor(){this.indexedDB=j0()}async listModels(){return new Promise((e,t)=>{let o=this.indexedDB.open(dw,fw);o.onupgradeneeded=()=>hw(o),o.onsuccess=()=>{let n=o.result,s=n.transaction(Ji,\"readonly\"),i=s.objectStore(Ji).getAll();i.onsuccess=()=>{let p={};for(let u of i.result)p[u.modelPath]=u.modelArtifactsInfo;e(p)},i.onerror=p=>(n.close(),t(i.error)),s.oncomplete=()=>n.close()},o.onerror=n=>t(o.error)})}async removeModel(e){return e=VG(e),new Promise((t,o)=>{let n=this.indexedDB.open(dw,fw);n.onupgradeneeded=()=>hw(n),n.onsuccess=()=>{let s=n.result,a=s.transaction(Ji,\"readwrite\"),i=a.objectStore(Ji),p=i.get(e),u;p.onsuccess=()=>{if(p.result==null)return s.close(),o(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let c=i.delete(e),l=()=>{u=s.transaction(Pu,\"readwrite\");let d=u.objectStore(Pu).delete(e);d.onsuccess=()=>t(p.result.modelArtifactsInfo),d.onerror=f=>o(p.error)};c.onsuccess=l,c.onerror=m=>(l(),s.close(),o(p.error))}},p.onerror=c=>(s.close(),o(p.error)),a.oncomplete=()=>{u==null?s.close():u.oncomplete=()=>s.close()}},n.onerror=s=>o(n.error)})}};var ei=\"/\",oc=\"tensorflowjs_models\",Y0=\"info\",WG=\"model_topology\",UG=\"weight_specs\",GG=\"weight_data\",HG=\"model_metadata\";function Q0(r){return{info:[oc,r,Y0].join(ei),topology:[oc,r,WG].join(ei),weightSpecs:[oc,r,UG].join(ei),weightData:[oc,r,GG].join(ei),modelMetadata:[oc,r,HG].join(ei)}}function Z0(r){for(let e of Object.values(r))window.localStorage.removeItem(e)}function KG(r){let e=r.split(ei);if(e.length<3)throw new Error(`Invalid key format: ${r}`);return e.slice(1,e.length-1).join(ei)}function qG(r){return r.startsWith(ya.URL_SCHEME)?r.slice(ya.URL_SCHEME.length):r}var ya=class{constructor(e){if(!P().getBool(\"IS_BROWSER\")||typeof window==\"undefined\"||typeof window.localStorage==\"undefined\")throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,e==null||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=Q0(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");{let t=JSON.stringify(e.modelTopology),o=JSON.stringify(e.weightSpecs),n=ga(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,o),this.LS.setItem(this.keys.weightData,W0(e.weightData));let s={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:n}}catch(s){throw Z0(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!==\"JSON\")throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");let t={},o=JSON.parse(this.LS.getItem(this.keys.topology));if(o==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=o;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let i=JSON.parse(s);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let a=this.LS.getItem(this.keys.weightData);if(a==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=U0(a),t}};ya.URL_SCHEME=\"localstorage://\";var J0=r=>P().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(ya.URL_SCHEME)?jG(r.slice(ya.URL_SCHEME.length)):null;ft.registerSaveRouter(J0);ft.registerLoadRouter(J0);function jG(r){return new ya(r)}var ad=class{constructor(){$(P().getBool(\"IS_BROWSER\"),()=>\"Current environment is not a web browser\"),$(typeof window==\"undefined\"||typeof window.localStorage!=\"undefined\",()=>\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}async listModels(){let e={},t=oc+ei,o=ei+Y0;for(let n=0;n\"scheme must not be undefined or null.\"),e.endsWith(nc)&&(e=e.slice(0,e.indexOf(nc))),$(e.length>0,()=>\"scheme must not be an empty string.\");let o=Qt.getInstance();$(o.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),o.managers[e]=t}static getManager(e){let t=Qt.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Qt.getInstance().managers)}};function id(r){if(r.indexOf(nc)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Qt.getSchemes().join(\",\")}`);return{scheme:r.split(nc)[0],path:r.split(nc)[1]}}async function ek(r,e,t=!1){$(r!==e,()=>`Old path and new path are the same: '${r}'`);let o=ft.getLoadHandlers(r);$(o.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),$(o.length<2,()=>`Copying failed because more than one (${o.length}) load handlers for source URL ${r}.`);let n=o[0],s=ft.getSaveHandlers(e);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${e}.`),$(s.length<2,()=>`Copying failed because more than one (${o.length}) save handlers for destination URL ${e}.`);let a=s[0],i=id(r).scheme,p=id(r).path,u=i===id(r).scheme,c=await n.load();t&&u&&await Qt.getManager(i).removeModel(p);let l=await a.save(c);return t&&!u&&await Qt.getManager(i).removeModel(p),l.modelArtifactsInfo}async function tk(){let r=Qt.getSchemes(),e={};for(let t of r){let o=await Qt.getManager(t).listModels();for(let n in o){let s=t+nc+n;e[s]=o[n]}}return e}async function rk(r){let e=id(r);return Qt.getManager(e.scheme).removeModel(e.path)}async function ok(r,e){return ek(r,e,!1)}async function nk(r,e){return ek(r,e,!0)}var gw=class{constructor(){this.messageName=\"setTimeoutCustom\",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!==\"utf-8\"&&t!==\"utf8\")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window==\"undefined\"||!P().getBool(\"USE_SETTIMEOUTCUSTOM\")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},\"*\")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener(\"message\",o=>{if(o.source===window&&o.data.name===this.messageName){o.stopPropagation();let n=this.functionRefs[o.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return qm(e)}};if(P().get(\"IS_BROWSER\")){P().setPlatform(\"browser\",new gw);try{Qt.registerManager(ya.URL_SCHEME,new ad)}catch(r){}try{Qt.registerManager(xa.URL_SCHEME,new sd)}catch(r){}}var XG={importFetch:()=>sk()},xw;var yw=class{constructor(){this.util=ak(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return P().global.fetch!=null?P().global.fetch(e,t):(xw==null&&(xw=XG.importFetch()),xw(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!==\"utf-8\"&&t!==\"utf8\")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?\"\":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};P().get(\"IS_NODE\")&&!P().get(\"IS_BROWSER\")&&P().setPlatform(\"node\",new yw);function me(r,e=\"float32\",t){return e=e||\"float32\",Ct(r),new tt(r,e,t)}function YG(r,e){let t=v(r,\"x\",\"cast\");if(!zC(e))throw new Error(`Failed to cast to unknown dtype ${e}`);if(e===\"string\"&&t.dtype!==\"string\"||e!==\"string\"&&t.dtype===\"string\")throw new Error(\"Only strings can be casted to strings\");let o={x:t},n={dtype:e};return T.runKernel(ho,o,n)}var Ye=N({cast_:YG});function QG(r){let t={x:v(r,\"x\",\"clone\",\"string_or_numeric\")};return T.runKernel(xo,t)}var Vr=N({clone_:QG});function ud(r,e=!1){console.log(r.toString(e))}aw();var ZG={buffer:me,cast:Ye,clone:Vr,print:ud};F0(ZG);function fme(){P().set(\"PROD\",!0)}function hme(){P().set(\"DEBUG\",!0)}function gme(){P().set(\"DEPRECATION_WARNINGS_ENABLED\",!1),console.warn(\"TensorFlow.js deprecation warnings have been disabled.\")}function bw(r){P().getBool(\"DEPRECATION_WARNINGS_ENABLED\")&&console.warn(r+\" You can disable deprecation warnings with tf.disableDeprecationWarnings().\")}P0(bw);function xme(){T.disposeVariables()}function ur(){return T}function yme(){return T.memory()}function bme(r){return T.profile(r)}function De(r,e){return T.tidy(r,e)}function Ot(r){bl(r).forEach(t=>t.dispose())}function Er(r){return T.keep(r)}function Cme(r){return T.time(r)}function wme(r){return T.setBackend(r)}function Sme(){return T.ready()}function Ime(){return T.backendName}function vme(r){T.removeBackend(r)}function kme(r){return T.findBackend(r)}function Nme(r){return T.findBackendFactory(r)}function eu(r,e,t=1){return T.registerBackend(r,e,t)}function Tme(){return T.backend}function _me(r,e){P().setPlatform(r,e)}function JG(r,e){let t=v(r,\"a\",\"add\"),o=v(e,\"b\",\"add\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(no,n)}var be=N({add_:JG});function e4(r,e){let t=v(r,\"a\",\"floorDiv\"),o=v(e,\"b\",\"floorDiv\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Cn,n)}var pd=N({floorDiv_:e4});function t4(r,e){let t=v(r,\"a\",\"div\"),o=v(e,\"b\",\"div\");if([t,o]=Oe(t,o),t.dtype===\"int32\"&&o.dtype===\"int32\")return pd(t,o);let n={a:t,b:o},s={};return T.runKernel(dn,n,s)}var Ke=N({div_:t4});function r4(r,e){let t=v(r,\"a\",\"mul\"),o=v(e,\"b\",\"mul\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Kn,n)}var se=N({mul_:r4});function o4(r){let e=v(r,\"x\",\"abs\");if(e.dtype===\"complex64\"){let t={x:e};return T.runKernel(_i,t)}else{let t={x:e};return T.runKernel(Gs,t)}}var Zt=N({abs_:o4});function n4(r){let t={x:v(r,\"x\",\"acos\")};return T.runKernel(zo,t)}var ik=N({acos_:n4});function s4(r){let t={x:v(r,\"x\",\"acosh\")};return T.runKernel(Vo,t)}var uk=N({acosh_:s4});function a4(r){$(Array.isArray(r),()=>\"The argument passed to tf.addN() must be a list of tensors\"),$(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let e=r.map((n,s)=>v(n,`tensors${s}`,\"addN\")),t=e[0];e.forEach(n=>{if(n.dtype!==t.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),e.forEach(n=>{if(!br(n.shape,t.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});let o=e;return T.runKernel(Wo,o)}var pk=N({addN_:a4});function i4(r,e=null,t=!1){let n={x:v(r,\"x\",\"all\",\"bool\")},s={axis:e,keepDims:t};return T.runKernel(Uo,n,s)}var ck=N({all_:i4});function u4(r,e=null,t=!1){let n={x:v(r,\"x\",\"any\",\"bool\")},s={axis:e,keepDims:t};return T.runKernel(Go,n,s)}var lk=N({any_:u4});function p4(r,e=0){let o={x:v(r,\"x\",\"argMax\")},n={axis:e};return T.runKernel(Hs,o,n)}var mk=N({argMax_:p4});function c4(r,e=0){let o={x:v(r,\"x\",\"argMin\")},n={axis:e};return T.runKernel(Ks,o,n)}var dk=N({argMin_:c4});function l4(r){let t={x:v(r,\"x\",\"asin\")};return T.runKernel(Ho,t)}var fk=N({asin_:l4});function m4(r){let t={x:v(r,\"x\",\"asinh\")};return T.runKernel(Ko,t)}var hk=N({asinh_:m4});function d4(r){let t={x:v(r,\"x\",\"atan\")};return T.runKernel(qo,t)}var gk=N({atan_:d4});function f4(r,e){let t=v(r,\"a\",\"atan2\"),o=v(e,\"b\",\"atan2\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Xo,n)}var xk=N({atan2_:f4});function h4(r){let t={x:v(r,\"x\",\"atanh\")};return T.runKernel(jo,t)}var yk=N({atanh_:h4});function g4(r,e,t,o,n=\"NHWC\",s){let a=r[3],i=[...e,a],p=Ck(n);return Mu(r,i,t,s,o,null,null,p)}function ww(r,e,t,o,n,s,a=\"channelsLast\"){let[i,p]=wl(e),u;if(a===\"channelsLast\")u=[i,p,r[3],r[3]];else if(a===\"channelsFirst\")u=[i,p,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return Mu(r,u,t,o,n,s,!1,a)}function x4(r,e,t,o,n,s,a=\"NDHWC\"){let[i,p,u]=Cw(e),c,l;if(a===\"NDHWC\")l=\"channelsLast\",c=[i,p,u,r[4],r[4]];else if(a===\"NCDHW\")l=\"channelsFirst\",c=[i,p,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return bk(r,c,t,o,n,!1,l,s)}function Mu(r,e,t,o,n,s,a=!1,i=\"channelsLast\"){let[p,u,c,l]=[-1,-1,-1,-1];if(i===\"channelsLast\")[p,u,c,l]=r;else if(i===\"channelsFirst\")[p,l,u,c]=r;else throw new Error(`Unknown dataFormat ${i}`);let[m,d,,f]=e,[h,g]=wl(t),[x,b]=wl(o),w=sc(m,x),S=sc(d,b),{padInfo:k,outHeight:_,outWidth:E}=C4(n,u,c,h,g,w,S,s,i),R=a?f*l:f,D;return i===\"channelsFirst\"?D=[p,R,_,E]:i===\"channelsLast\"&&(D=[p,_,E,R]),{batchSize:p,dataFormat:i,inHeight:u,inWidth:c,inChannels:l,outHeight:_,outWidth:E,outChannels:R,padInfo:k,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:d,effectiveFilterHeight:w,effectiveFilterWidth:S,dilationHeight:x,dilationWidth:b,inShape:r,outShape:D,filterShape:e}}function bk(r,e,t,o,n,s=!1,a=\"channelsLast\",i){let[p,u,c,l,m]=[-1,-1,-1,-1,-1];if(a===\"channelsLast\")[p,u,c,l,m]=r;else if(a===\"channelsFirst\")[p,m,u,c,l]=r;else throw new Error(`Unknown dataFormat ${a}`);let[d,f,h,,g]=e,[x,b,w]=Cw(t),[S,k,_]=Cw(o),E=sc(d,S),R=sc(f,k),D=sc(h,_),{padInfo:F,outDepth:O,outHeight:M,outWidth:L}=w4(n,u,c,l,x,b,w,E,R,D,i),B=s?g*m:g,z;return a===\"channelsFirst\"?z=[p,B,O,M,L]:a===\"channelsLast\"&&(z=[p,O,M,L,B]),{batchSize:p,dataFormat:a,inDepth:u,inHeight:c,inWidth:l,inChannels:m,outDepth:O,outHeight:M,outWidth:L,outChannels:B,padInfo:F,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:d,filterHeight:f,filterWidth:h,effectiveFilterDepth:E,effectiveFilterHeight:R,effectiveFilterWidth:D,dilationDepth:S,dilationHeight:k,dilationWidth:_,inShape:r,outShape:z,filterShape:e}}function y4(r,e,t,o,n){o==null&&(o=Sw(r,e,t));let s=r[0],a=r[1],i=Sl((s-e+2*o)/t+1,n),p=Sl((a-e+2*o)/t+1,n);return[i,p]}function b4(r,e,t,o,n,s){n==null&&(n=Sw(r,e[0],o[0]));let a=[0,0,0,t];for(let i=0;i<3;i++)r[i]+2*n>=e[i]&&(a[i]=Sl((r[i]-e[i]+2*n)/o[i]+1,s));return a}function Sw(r,e,t,o=1){let n=sc(e,o);return Math.floor((r[0]*(t-1)-t+n)/2)}function wl(r){return typeof r==\"number\"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function Cw(r){return typeof r==\"number\"?[r,r,r]:r}function sc(r,e){return e<=1?r:r+(r-1)*(e-1)}function C4(r,e,t,o,n,s,a,i,p){let u,c,l;if(typeof r==\"number\"){u={top:r,bottom:r,left:r,right:r,type:r===0?\"VALID\":\"NUMBER\"};let d=y4([e,t],s,o,r,i);c=d[0],l=d[1]}else if(r===\"same\"){c=Math.ceil(e/o),l=Math.ceil(t/n);let m=Math.max(0,(c-1)*o+s-e),d=Math.max(0,(l-1)*n+a-t),f=Math.floor(m/2),h=m-f,g=Math.floor(d/2),x=d-g;u={top:f,bottom:h,left:g,right:x,type:\"SAME\"}}else if(r===\"valid\")u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},c=Math.ceil((e-s+1)/o),l=Math.ceil((t-a+1)/n);else if(typeof r==\"object\"){let m=p===\"channelsLast\"?r[1][0]:r[2][0],d=p===\"channelsLast\"?r[1][1]:r[2][1],f=p===\"channelsLast\"?r[2][0]:r[3][0],h=p===\"channelsLast\"?r[2][1]:r[3][1];u={top:m,bottom:d,left:f,right:h,type:m===0&&d===0&&f===0&&h===0?\"VALID\":\"EXPLICIT\"},c=Sl((e-s+m+d)/o+1,i),l=Sl((t-a+f+h)/n+1,i)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:u,outHeight:c,outWidth:l}}function w4(r,e,t,o,n,s,a,i,p,u,c){let l,m,d,f;if(r===\"valid\"&&(r=0),typeof r==\"number\"){l={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?\"VALID\":\"NUMBER\"};let g=b4([e,t,o,1],[i,p,u],1,[n,s,a],r,c);m=g[0],d=g[1],f=g[2]}else if(r===\"same\"){m=Math.ceil(e/n),d=Math.ceil(t/s),f=Math.ceil(o/a);let h=(m-1)*n+i-e,g=(d-1)*s+p-t,x=(f-1)*a+u-o,b=Math.floor(h/2),w=h-b,S=Math.floor(g/2),k=g-S,_=Math.floor(x/2),E=x-_;l={top:S,bottom:k,left:_,right:E,front:b,back:w,type:\"SAME\"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outDepth:m,outHeight:d,outWidth:f}}function Sl(r,e){if(!e)return Math.trunc(r);switch(e){case\"round\":return Math.round(r);case\"ceil\":return Math.ceil(r);case\"floor\":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${e}`)}}function Ou(r){let[e,t,o]=wl(r);return e===1&&t===1&&o===1}function gr(r,e){return Ou(r)||Ou(e)}function ba(r){return wl(r).every(e=>e>0)}function Ck(r){if(r===\"NHWC\")return\"channelsLast\";if(r===\"NCHW\")return\"channelsFirst\";throw new Error(`Unknown dataFormat ${r}`)}function Lt(r,e,t){if(t!=null){if(typeof e==\"string\")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);if(typeof e==\"number\")$(Ba(e),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);else if(typeof e==\"object\")e.forEach(o=>{o.forEach(n=>{$(Ba(n),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${n}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${e}`)}}function S4(r,e){let o={x:v(r,\"x\",\"reshape\",\"string_or_numeric\")},n={shape:e};return T.runKernel(ia,o,n)}var W=N({reshape_:S4});function I4(r,e,t,o,n){let s=v(r,\"x\",\"avgPool\",\"float32\"),a=1;$(gr(t,a),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`);let i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${i.rank}.`),Lt(\"avgPool\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Yo,u,c);return l=Ye(l,s.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var cd=N({avgPool_:I4});function v4(r,e,t,o,n,s=\"NDHWC\"){let a=v(r,\"x\",\"avgPool3d\",\"float32\"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s===\"NDHWC\",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),$(typeof t==\"number\"&&t>0||Array.isArray(t)&&t[0]>0&&t[1]>0&&t[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${t}'`),Lt(\"avgPool3d\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(qs,u,c);return l=Ye(l,i.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var wk=N({avgPool3d_:v4});function k4(r,e=0){$(r.length>=1,()=>\"Pass at least one tensor to concat\");let t=Ja(r,\"tensors\",\"concat\",\"string_or_numeric\");if(t[0].dtype===\"complex64\"&&t.forEach(s=>{if(s.dtype!==\"complex64\")throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${s.dtype}. `)}),t.length===1)return Vr(t[0]);let o=t,n={axis:e};return T.runKernel(Ys,o,n)}var yt=N({concat_:k4});function N4(r,e,t=!1,o=!1){let n=v(r,\"a\",\"matMul\"),s=v(e,\"b\",\"matMul\");[n,s]=Oe(n,s);let a={a:n,b:s},i={transposeA:t,transposeB:o};return T.runKernel(Qo,a,i)}var Qe=N({matMul_:N4});function T4(r){let t={x:v(r,\"x\",\"sigmoid\",\"float32\")};return T.runKernel(hs,t)}var wa=N({sigmoid_:T4});function _4(r,e,t){let o=v(r,\"x\",\"slice\",\"string_or_numeric\");if(o.rank===0)throw new Error(\"Slicing scalar is not possible\");let n={x:o},s={begin:e,size:t};return T.runKernel(pa,n,s)}var qe=N({slice_:_4});function $4(r){let t={x:v(r,\"x\",\"tanh\",\"float32\")};return T.runKernel(ks,t)}var Il=N({tanh_:$4});function E4(r,e,t,o,n,s){let a=v(r,\"forgetBias\",\"basicLSTMCell\"),i=v(e,\"lstmKernel\",\"basicLSTMCell\"),p=v(t,\"lstmBias\",\"basicLSTMCell\"),u=v(o,\"data\",\"basicLSTMCell\"),c=v(n,\"c\",\"basicLSTMCell\"),l=v(s,\"h\",\"basicLSTMCell\"),m=yt([u,l],1),d=Qe(m,i),f=be(d,p),h=f.shape[0],g=f.shape[1]/4,x=[h,g],b=qe(f,[0,0],x),w=qe(f,[0,g],x),S=qe(f,[0,g*2],x),k=qe(f,[0,g*3],x),_=be(se(wa(b),Il(w)),se(c,wa(be(a,S)))),E=se(Il(_),wa(k));return[_,E]}var Sk=N({basicLSTMCell_:E4});function R4(r,e,t){let o=v(r,\"x\",\"batchToSpaceND\"),n=e.reduce((i,p)=>i*p);$(o.rank>=1+e.length,()=>`input rank is ${o.rank} but should be > than blockShape.length ${e.length}`),$(t.length===e.length,()=>`crops.length is ${t.length} but should be equal to blockShape.length ${e.length}`),$(o.shape[0]%n===0,()=>`input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(\" * \")} === ${n}`);let s={x:o},a={blockShape:e,crops:t};return T.runKernel(js,s,a)}var ld=N({batchToSpaceND_:R4});function Ik(r){let e;return r.rank===0||r.rank===1?e=W(r,[1,1,1,r.size]):r.rank===2?e=W(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?e=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]):e=r,e}function D4(r,e,t,o,n,s){s==null&&(s=.001);let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(i.rank===p.rank,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),$(c==null||i.rank===c.rank,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),$(u==null||i.rank===u.rank,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let m={x:Ik(a),scale:u,offset:c,mean:i,variance:p},d={varianceEpsilon:s},f=T.runKernel(wn,m,d);return W(f,a.shape)}var tu=N({batchNorm_:D4});function A4(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`),$(i.rank===2||i.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`),$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var vk=N({batchNorm2d_:A4});function F4(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`),$(i.rank===3||i.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`),$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var kk=N({batchNorm3d_:F4});function P4(r,e,t,o,n,s){let a=v(r,\"x\",\"batchNorm\"),i=v(e,\"mean\",\"batchNorm\"),p=v(t,\"variance\",\"batchNorm\"),u;n!=null&&(u=v(n,\"scale\",\"batchNorm\"));let c;return o!=null&&(c=v(o,\"offset\",\"batchNorm\")),$(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),$(i.rank===4||i.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`),$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var Nk=N({batchNorm4d_:P4});function O4(r,e,t){let o=v(r,\"x\",\"bincount\"),n=v(e,\"weights\",\"bincount\");$(o.dtype===\"int32\",()=>`Error in bincount: input dtype must be int32, but got ${o.dtype}`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(n.size===o.size||n.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${o.shape}, weights shape: ${n.shape}.`);let s={x:o,weights:n},a={size:t};return T.runKernel(Zo,s,a)}var md=N({bincount_:O4});function M4(r,e){let t=v(r,\"x\",\"bitwiseAnd\"),o=v(e,\"y\",\"bitwiseAnd\");if(!br(t.shape,o.shape))throw new Error(`BitwiseAnd: Tensors must have the same shape. x: ${t.shape}, y: ${o.shape}`);if(t.dtype!==\"int32\"||o.dtype!==\"int32\")throw new Error(`BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ${t.dtype} and type of y: ${o.dtype}`);let n={a:t,b:o};return T.runKernel(ml,n)}var Tk=N({bitwiseAnd_:M4});function L4(r,e){let t=v(r,\"s0\",\"broadcastArgs\",\"int32\"),o=v(e,\"s1\",\"broadcastArgs\",\"int32\");if(t.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${t.rank}`);if(o.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${o.rank}`);let n={s0:t,s1:o};return T.runKernel(Xs,n)}var _k=N({broadcastArgs_:L4});function B4(r,e){let t=v(r,\"broadcastTo\",\"x\"),o=t.shape;if(Ct(e),e.lengtht.rank){let u=t.shape.slice();for(;u.length=0;u--)if(n[u]===e[u])s[u]=1;else if(t.shape[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${e}].`);if(s.map((u,c)=>u>1?c:-1).filter(u=>u>=0).length===0)return Vr(t);let i={x:t},p={reps:s};return T.runKernel(so,i,p)}var ru=N({broadcastTo_:B4});function z4(r){let t={x:v(r,\"x\",\"ceil\",\"float32\")};return T.runKernel(Jo,t)}var $k=N({ceil_:z4});function Sa(r,e,t){Ct(r),t=t||ki(e);let o={shape:r,value:e,dtype:t};return T.runKernel(ea,{},o)}function V4(r,e,t){let o=v(r,\"x\",\"clipByValue\");if($(e<=t,()=>`Error in clip: min (${e}) must be less than or equal to max (${t}).`),e===t)return Sa(o.shape,e,o.dtype);let n={x:o},s={clipValueMin:e,clipValueMax:t};return T.runKernel(go,n,s)}var Ek=N({clipByValue_:V4});function W4(r){return yt(r,0)}var Rk=N({concat1d_:W4});function U4(r,e){return yt(r,e)}var Dk=N({concat2d_:U4});function G4(r,e){return yt(r,e)}var Ak=N({concat3d_:G4});function H4(r,e){return yt(r,e)}var Fk=N({concat4d_:H4});function K4(r,e,t,o,n=\"NHWC\",s=[1,1],a){let i=v(r,\"x\",\"conv2d\",\"float32\"),p=v(e,\"filter\",\"conv2d\",\"float32\"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`),Lt(\"conv2d\",o,a);let l=n===\"NHWC\"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`),$(gr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(ba(s),()=>\"Error in conv2D: Dilated rates should be larger than 0.\"),$(ba(t),()=>\"Error in conv2D: Strides should be larger than 0.\");let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(en,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ou=N({conv2d_:K4});function q4(r,e,t,o,n=\"NWC\",s=1,a){let i=v(r,\"x\",\"conv1d\"),p=v(e,\"filter\",\"conv1d\"),u=i,c=!1;i.rank===2&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(p.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`),Lt(\"conv1d\",o,a),$(u.shape[2]===p.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`),$(gr(t,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${t} and dilation '${s}'`),$(ba(s),()=>\"Error in conv1D: Dilated rates should be larger than 0.\"),$(ba(t),()=>\"Error in conv1D: Stride should be larger than 0.\"),$(n===\"NWC\",()=>`Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`);let l=W(p,[1,p.shape[0],p.shape[1],p.shape[2]]),m=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),g=ou(m,l,[1,t],o,\"NHWC\",[1,s],a);return c?W(g,[g.shape[2],g.shape[3]]):W(g,[g.shape[0],g.shape[2],g.shape[3]])}var Pk=N({conv1d_:q4});function j4(r,e,t,o,n,s=\"NHWC\",a){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let i=r,p=e,u=!1;e.rank===3&&(u=!0,p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]),i=[1,r[0],r[1],r[2]]),$(i.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`),$(p.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${p.rank}`),$(t.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${t.rank}`);let c=s===\"NHWC\"?i[3]:i[1],l=s===\"NHWC\"?p.shape[3]:p.shape[1];$(c===t.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t.shape[2]}.`),$(l===t.shape[3],()=>`Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t.shape[3]}.`),Lt(\"conv2dDerInput\",n,a);let m={dy:p,filter:t},d={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,inputShape:i},f=T.runKernel(tn,m,d);return u?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var dd=N({conv2DBackpropInput_:j4});function X4(r,e,t,o,n,s){let a=v(r,\"x\",\"conv2dTranspose\"),i=v(e,\"filter\",\"conv2dTranspose\");return dd(t,a,i,o,n,\"NHWC\",s)}var Ok=N({conv2dTranspose_:X4});function Y4(r,e,t,o,n=\"NDHWC\",s=[1,1,1]){let a=v(r,\"x\",\"conv3d\"),i=v(e,\"filter\",\"conv3d\"),p=a,u=!1;a.rank===4&&(u=!0,p=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(p.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${p.rank}.`),$(i.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`),$(p.shape[4]===i.shape[3],()=>`Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`),$(gr(t,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(n===\"NDHWC\",()=>`Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`),$(ba(s),()=>\"Error in conv3D: Dilated rates should be larger than 0.\"),$(ba(t),()=>\"Error in conv3D: Strides should be larger than 0.\");let c={x:p,filter:i},l={strides:t,pad:o,dataFormat:n,dilations:s},m=T.runKernel(rn,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Mk=N({conv3d_:Y4});function Q4(r,e,t,o,n){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let s=r,a=e,i=!1;e.rank===4&&(i=!0,a=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let p=s[4],u=a.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(a.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${a.rank}`),$(t.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${t.rank}`),$(p===t.shape[3],()=>`Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${t.shape[3]}.`),$(u===t.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t.shape[4]}.`);let c={dy:a,filter:t},l={pad:n,strides:o,inputShape:s},m=T.runKernel(on,c,l);return i?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Lk=N({conv3DBackpropInput_:Q4});function Z4(r,e,t,o,n){let s=v(r,\"x\",\"conv3dTranspose\"),a=v(e,\"filter\",\"conv3dTranspose\");return Lk(t,s,a,o,n)}var Bk=N({conv3dTranspose_:Z4});function J4(r){let t={x:v(r,\"x\",\"cos\",\"float32\")};return T.runKernel(nn,t)}var zk=N({cos_:J4});function eH(r){let t={x:v(r,\"x\",\"cosh\",\"float32\")};return T.runKernel(sn,t)}var Vk=N({cosh_:eH});function tH(r,e=0,t=!1,o=!1){let s={x:v(r,\"x\",\"cumprod\")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(an,s,a)}var Wk=N({cumprod_:tH});function rH(r,e=0,t=!1,o=!1){let s={x:v(r,\"x\",\"cumsum\")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(un,s,a)}var Uk=N({cumsum_:rH});function oH(r,e,t,o=!1){let n=v(r,\"x\",\"denseBincount\"),s=v(e,\"weights\",\"denseBincount\");$(n.dtype===\"int32\",()=>`Error in denseBincount: input dtype must be int32, but got ${n.dtype}`),$(n.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${n.rank}.`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(s.size===n.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${n.shape}, weights shape: ${s.shape}.`);let a={x:n,weights:s},i={size:t,binaryOutput:o};return T.runKernel(Qs,a,i)}var Gk=N({denseBincount_:oH});function nH(r,e,t=\"NHWC\"){let o=v(r,\"x\",\"depthToSpace\",\"float32\"),n=t===\"NHWC\"?o.shape[1]:o.shape[2],s=t===\"NHWC\"?o.shape[2]:o.shape[3],a=t===\"NHWC\"?o.shape[3]:o.shape[1];$(e>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${e}`),$(n*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${n} and ${e} for depthToSpace with input shape\n ${o.shape}`),$(s*e>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${e} for depthToSpace with input shape\n ${o.shape}`),$(a%(e*e)===0,()=>`Dimension size must be evenly divisible by ${e*e} but is ${a} for depthToSpace with input shape ${o.shape}`);let i={x:o},p={blockSize:e,dataFormat:t};return T.runKernel(cn,i,p)}var Hk=N({depthToSpace_:nH});function sH(r,e,t,o,n=\"NHWC\",s=[1,1],a){let i=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),p=v(e,\"filter\",\"depthwiseConv2d\",\"float32\"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${p.rank}.`);let l=n===\"NHWC\"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`),Lt(\"depthwiseConv2d\",o,a);let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(ln,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ac=N({depthwiseConv2d_:sH});function aH(r){let t={x:v(r,\"x\",\"diag\")};return T.runKernel(Zs,t)}var Kk=N({diag_:aH});function iH(r,e,t,o,n=[1,1],s=\"NHWC\"){let a=v(r,\"x\",\"dilation2d\"),i=v(e,\"filter\",\"dilation2d\");$(a.rank===3||a.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`),$(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),$(s===\"NHWC\",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let p=a,u=!1;a.rank===3&&(p=W(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0),$(p.shape[3]===i.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${p.shape[3]} vs ${i.shape[2]}`);let c={x:p,filter:i},l={strides:t,pad:o,dilations:n},m=T.runKernel(mn,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var qk=N({dilation2d_:iH});var Sr={};He(Sr,{assertAndGetBroadcastShape:()=>rt,getBroadcastDims:()=>jk,getReductionAxes:()=>fd});function jk(r,e){let t=r.length,o=[];for(let n=0;n1&&a===1&&o.unshift(s)}return o}function fd(r,e){let t=[];for(let o=0;o1)&&t.unshift(s)}return t}function rt(r,e){let t=Math.max(r.length,e.length),o=new Array(t);for(let n=0;n`Error in dot: inputs must all be rank 1 or 2, but got ranks ${t.rank} and ${o.rank}.`);let n=t.rank===1?t.size:t.shape[1],s=o.rank===1?o.size:o.shape[0];if($(n===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${n} and ${s}.`),t.rank===1&&o.rank===1){let a=W(t,[1,-1]),i=W(o,[-1,1]),p=Qe(a,i);return W(p,[])}else if(t.rank===1&&o.rank===2){let a=W(t,[1,-1]),i=W(o,[o.shape[0],o.shape[1]]),p=Qe(a,i);return W(p,[p.size])}else if(t.rank===2&&o.rank===1){let a=W(o,[-1,1]),i=Qe(t,a);return W(i,[i.size])}else{let a=W(o,[o.shape[0],o.shape[1]]);return Qe(t,a)}}var Yk=N({dot_:mH});function dH(r,...e){let t=e.map((n,s)=>v(n,`tensors${s}`,\"einsum\")),o={equation:r};return T.runKernel(Fi,t,o)}var Qk=N({einsum_:dH});function fH(r){let t={x:v(r,\"x\",\"elu\",\"float32\")};return T.runKernel(fn,t)}var gd=N({elu_:fH});function hH(r,e){let t=v(r,\"x\",\"ensureShape\",\"string_or_numeric\");if(!OC(t.shape,e))throw new Error(`EnsureShape: Shape of tensor ${t.shape} is not compatible with expected shape ${e}`);return r}var Zk=N({ensureShape_:hH});function gH(r){let e=v(r,\"x\",\"erf\");$(e.dtype===\"int32\"||e.dtype===\"float32\",()=>\"Input dtype must be `int32` or `float32`.\"),e.dtype===\"int32\"&&(e=Ye(e,\"float32\"));let t={x:e};return T.runKernel(Wa,t)}var Jk=N({erf_:gH});function Iw(r,e){for(let t=0;tr[s]);return[t,n]}function ti(r,e){let t=e.map(o=>1);return e2(r,t,e)}function yH(r,e,t){$(Iw(e,t),()=>`${r} supports only inner-most axes for now. Got axes ${e} and rank-${t} input.`)}function bH(r,e){if(Iw(r,e))return null;let t=[];for(let o=0;ot.push(o)),t}function CH(r){return r.map((e,t)=>[t,e]).sort((e,t)=>e[1]-t[1]).map(e=>e[0])}function wH(r,e){let t=[];for(let o=e-r;o\"Axis must be <= rank of the tensor\");let o={input:t},n={dim:e};return T.runKernel(Js,o,n)}var oi=N({expandDims_:DH});function AH(r){let t={x:v(r,\"x\",\"expm1\")};return T.runKernel(xn,t)}var o2=N({expm1_:AH});function FH(r,e){let t=v(r,\"x\",\"tile\",\"string_or_numeric\");$(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let o={x:t},n={reps:e};return T.runKernel(so,o,n)}var nu=N({tile_:FH});function PH(r,e,t,o=\"float32\"){e==null&&(e=r);let n=me([r,e],o),s=r<=e?r:e;for(let i=0;i`Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank ${s.rank}.`),$(Ba(e),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`);let a=s,i=!1;s.rank===3&&(i=!0,a=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let p={x:a},u={depthRadius:e,bias:t,alpha:o,beta:n},c=T.runKernel(Mn,p,u);return i?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var u2=N({localResponseNormalization_:qH});function jH(r){let t={x:v(r,\"x\",\"log\",\"float32\")};return T.runKernel(Dn,t)}var ni=N({log_:jH});function XH(r){let t={x:v(r,\"x\",\"log1p\")};return T.runKernel(An,t)}var Sd=N({log1p_:XH});function YH(r){return $(Ws(r),()=>\"The f passed in grad(f) must be a function\"),(e,t)=>{let o=v(e,\"x\",\"tf.grad\",\"string_or_numeric\"),n=t!=null?v(t,\"dy\",\"tf.grad\"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(o),[o],n);return n!=null&&xt(s.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),Id(a),a[0]})}}function QH(r){return $(Ws(r),()=>\"The f passed in grads(f) must be a function\"),(e,t)=>{$(Array.isArray(e),()=>\"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s\");let o=Ja(e,\"args\",\"tf.grads\",\"string_or_numeric\"),n=t!=null?v(t,\"dy\",\"tf.grads\"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(...o),o,n);return n!=null&&xt(s.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Id(a),a})}}function ZH(r){return $(Ws(r),()=>\"The f passed in valueAndGrad(f) must be a function\"),(e,t)=>{$(e instanceof pt,()=>\"The x passed in valueAndGrad(f)(x) must be a tensor\"),$(t==null||t instanceof pt,()=>\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");let{grads:o,value:n}=T.gradients(()=>r(e),[e],t);return Id(o),{grad:o[0],value:n}}}function JH(r){return $(Ws(r),()=>\"The f passed in valueAndGrads(f) must be a function\"),(e,t)=>{$(Array.isArray(e)&&e.every(n=>n instanceof pt),()=>\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),$(t==null||t instanceof pt,()=>\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");let o=T.gradients(()=>r(...e),e,t);return t!=null&&xt(o.value.shape,t.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),Id(o.grads),o}}function vw(r,e){$(Ws(r),()=>\"The f passed in variableGrads(f) must be a function\"),$(e==null||Array.isArray(e)&&e.every(u=>u instanceof Qa),()=>\"The varList passed in variableGrads(f, varList) must be an array of variables\");let t=e!=null;if(!t){e=[];for(let u in T.registeredVariables)e.push(T.registeredVariables[u])}let o=t?e.filter(u=>!u.trainable):null,n=e.length;e=e.filter(u=>u.trainable),$(e.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${n} variables is trainable.`);let s=!0,{value:a,grads:i}=T.gradients(r,e,null,s);$(i.some(u=>u!=null),()=>\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),$(a.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${a.rank} tensor`);let p={};return e.forEach((u,c)=>{i[c]!=null&&(p[u.name]=i[c])}),o!=null&&o.forEach(u=>p[u.name]=null),{value:a,grads:p}}function Ir(r){return T.customGrad(r)}function Id(r){if(r.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that\n the f you passed encloses all operations that lead from x to y.`)}function eK(r){let t={x:v(r,\"x\",\"neg\")};return T.runKernel(oa,t)}var pr=N({neg_:eK});function tK(r){let t={x:v(r,\"x\",\"softplus\")};return T.runKernel(gs,t)}var vd=N({softplus_:tK});function rK(r){let e=v(r,\"x\",\"logSigmoid\");return Ir(o=>({value:pr(vd(pr(o))),gradFunc:a=>se(a,wa(pr(o)))}))(e)}var p2=N({logSigmoid_:rK});function oK(r,e){let t=v(r,\"a\",\"sub\"),o=v(e,\"b\",\"sub\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Is,n)}var Te=N({sub_:oK});function nK(r,e=-1){let t=v(r,\"logits\",\"logSoftmax\");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and axis was ${e}`);return Ir((n,s)=>{let i=Ia(n,e,!0),p=Te(n,i),u=Te(Ye(p,\"float32\"),ni(ot(ko(p),e,!0)));return s([u]),{value:u,gradFunc:(l,m)=>{let[d]=m,f=!0,h=ko(d);return Te(l,se(ot(l,e,f),h))}}})(t)}var c2=N({logSoftmax_:nK});function sK(r,e=null,t=!1){let o=v(r,\"x\",\"logSumExp\"),n=vi(e,o.shape),s=Ia(o,n,!0),a=Te(o,s),i=ko(a),p=ot(i,n),u=ni(p),c=be(W(s,u.shape),u);if(t){let l=ti(c.shape,n);return W(c,l)}return c}var kd=N({logSumExp_:sK});function aK(r,e){let t=v(r,\"a\",\"logicalAnd\",\"bool\"),o=v(e,\"b\",\"logicalAnd\",\"bool\");rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Fn,n)}var zu=N({logicalAnd_:aK});function iK(r){let t={x:v(r,\"x\",\"logicalNot\",\"bool\")};return T.runKernel(Pn,t)}var Nd=N({logicalNot_:iK});function uK(r,e){let t=v(r,\"a\",\"logicalOr\",\"bool\"),o=v(e,\"b\",\"logicalOr\",\"bool\");rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(On,n)}var Td=N({logicalOr_:uK});function pK(r,e){let t=v(r,\"a\",\"logicalXor\",\"bool\"),o=v(e,\"b\",\"logicalXor\",\"bool\");return rt(t.shape,o.shape),zu(Td(r,e),Nd(zu(r,e)))}var l2=N({logicalXor_:pK});var _d=2147483648;function cK(r,e,t=\"left\"){let o=v(r,\"sortedSequence\",\"searchSorted\"),n=v(e,\"values\",\"searchSorted\"),s=o.shape[o.shape.length-1],a=n.shape[n.shape.length-1],i=W(o,[-1,s]),p=W(n,[-1,a]);if(i.rank<2)throw new Error(\"Sorted input argument must be at least 2-dimensional\");if(i.shape[0]!==p.shape[0])throw new Error(\"Leading dimension of 'sortedSequence' and 'values' must match.\");if(Ue(p.shape)>=_d)throw new Error(`values tensor size must less than ${_d}`);if(i.shape[1]>=_d)throw new Error(`trailing dim_size must less than ${_d} for int32 output type, was ${i.shape[1]}`);let u={sortedSequence:i,values:p},c={side:t};return T.runKernel(ls,u,c)}var Nl=N({searchSorted_:cK});function m2(r,e){return Nl(r,e,\"left\")}function lK(r,e,t,o,n){let s=v(r,\"x\",\"maxPool\"),a=1,i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${i.rank}.`),$(gr(t,a),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`),Lt(\"maxPool\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(zn,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var $d=N({maxPool_:lK});function mK(r,e=[1,1,1],t,o,n,s=\"NDHWC\"){let a=v(r,\"x\",\"maxPool3d\"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s===\"NDHWC\",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Lt(\"maxPool3d\",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(ra,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var d2=N({maxPool3d_:mK});function dK(r,e,t,o,n=!1){let a={x:v(r,\"x\",\"maxPoolWithArgmax\")},i={filterSize:e,strides:t,pad:o,includeBatchInIndex:n},p=T.runKernel(Bi,a,i);return{result:p[0],indexes:p[1]}}var f2=N({maxPoolWithArgmax_:dK});function fK(r,e){let t=v(r,\"a\",\"maximum\"),o=v(e,\"b\",\"maximum\");[t,o]=Oe(t,o),t.dtype===\"bool\"&&(t=Ye(t,\"int32\"),o=Ye(o,\"int32\")),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Bn,n)}var Ed=N({maximum_:fK});function hK(r,e=null,t=!1){let n={x:v(r,\"x\",\"mean\")},s={axis:e,keepDims:t};return T.runKernel(Vn,n,s)}var Vu=N({mean_:hK});function Wr(r,e=\"float32\"){if(Ct(r),e===\"complex64\"){let o=Wr(r,\"float32\"),n=Wr(r,\"float32\");return $r(o,n)}let t=Up(Ue(r),e);return T.makeTensor(t,r,e)}function va(r,e=\"float32\"){if(Ct(r),e===\"complex64\"){let o=va(r,\"float32\"),n=Wr(r,\"float32\");return $r(o,n)}let t=pl(Ue(r),e);return T.makeTensor(t,r,e)}function h2(r,e,{indexing:t=\"xy\"}={}){if(t!==\"xy\"&&t!==\"ij\")throw new TypeError(`${t} is not a valid third argument to meshgrid`);if(r===void 0)return[];let o=v(r,\"x\",\"meshgrid\",r instanceof pt?r.dtype:\"float32\");if(e===void 0)return[o];let n=v(e,\"y\",\"meshgrid\",e instanceof pt?e.dtype:\"float32\"),s=Ue(o.shape),a=Ue(n.shape);return t===\"xy\"?(o=W(o,[1,-1]),n=W(n,[-1,1]),[Qe(va([a,1],o.dtype),o),Qe(n,va([1,s],n.dtype))]):(o=W(o,[-1,1]),n=W(n,[1,-1]),[Qe(o,va([1,a],o.dtype)),Qe(va([s,1],n.dtype),n)])}function gK(r,e){let t=v(r,\"a\",\"minimum\"),o=v(e,\"b\",\"minimum\");[t,o]=Oe(t,o),t.dtype===\"bool\"&&(t=Ye(t,\"int32\"),o=Ye(o,\"int32\")),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Un,n)}var Wu=N({minimum_:gK});function xK(r,e,t){$(t===\"reflect\"||t===\"symmetric\",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${t}.`);let o=v(r,\"x\",\"mirrorPad\");if(o.rank===0)throw new Error(\"mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad\");$(e.length===o.rank,()=>`Padding doesn't match input. Must be ${o.rank}. Got ${e.length}.`);let n=t===\"reflect\"?1:0;for(let i=0;i\"Invalid number of paddings. Must be length of 2 each.\"),$(e[i][0]>=0&&e[i][0]<=o.shape[i]-n&&e[i][1]>=0&&e[i][1]<=o.shape[i]-n,()=>`Padding in dimension ${i} cannot be greater than or equal to ${o.shape[i]-n} or less than 0 for input of shape ${o.shape}`);let s={paddings:e,mode:t},a={x:o};return T.runKernel(Gn,a,s)}var g2=N({mirrorPad_:xK});function yK(r,e){let t=v(r,\"a\",\"mod\"),o=v(e,\"b\",\"mod\");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Ga,n)}var x2=N({mod_:yK});function bK(r,e=null,t=!1){r=v(r,\"x\",\"moments\");let o=vi(e,r.shape),n=Vu(r,o,t),s=n.shape;t||(s=ti(n.shape,o));let a=Jt(Te(Ye(r,\"float32\"),W(n,s))),i=Vu(a,o,t);return{mean:n,variance:i}}var y2=N({moments_:bK});function CK(r,e,t,o){let n=v(e,\"data\",\"multiRNNCell\"),s=Ja(t,\"c\",\"multiRNNCell\"),a=Ja(o,\"h\",\"multiRNNCell\"),i=n,p=[];for(let l=0;l2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${a}`);t=t||Math.random();let p={logits:a===1?W(n,[1,-1]):n},u={numSamples:e,seed:t,normalized:o},c=T.runKernel(Hn,p,u);return a===1?W(c,[c.size]):c}var C2=N({multinomial_:wK});function SK(r,e){let t=v(r,\"a\",\"notEqual\",\"string_or_numeric\"),o=v(e,\"b\",\"notEqual\",\"string_or_numeric\");[t,o]=Oe(t,o),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(qn,n)}var Rd=N({notEqual_:SK});function IK(r,e,t=1,o=0,n=\"int32\"){if(e<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${e}`);let a={indices:v(r,\"indices\",\"oneHot\",\"int32\")},i={dtype:n,depth:e,onValue:t,offValue:o};return T.runKernel(Yn,a,i)}var Tl=N({oneHot_:IK});function vK(r){let t={x:v(r,\"x\",\"onesLike\")};return T.runKernel(na,t)}var w2=N({onesLike_:vK});function kK(r,e){let t=v(r,\"v1\",\"outerProduct\"),o=v(e,\"v2\",\"outerProduct\");$(t.rank===1&&o.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${t.rank} and ${o.rank}.`);let n=W(t,[-1,1]),s=W(o,[1,-1]);return Qe(n,s)}var S2=N({outerProduct_:kK});function NK(r,e,t=0){let o=v(r,\"x\",\"pad\");if(o.rank===0)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");let n={paddings:e,constantValue:t},s={x:o};return T.runKernel(Qn,s,n)}var ka=N({pad_:NK});function TK(r,e,t=0){return $(e.length===2,()=>\"Invalid number of paddings. Must be length of 2.\"),ka(r,[e],t)}var I2=N({pad1d_:TK});function _K(r,e,t=0){return $(e.length===2&&e[0].length===2&&e[1].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),ka(r,e,t)}var v2=N({pad2d_:_K});function $K(r,e,t=0){return $(e.length===3&&e[0].length===2&&e[1].length===2&&e[2].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),ka(r,e,t)}var k2=N({pad3d_:$K});function EK(r,e,t=0){return $(e.length===4&&e[0].length===2&&e[1].length===2&&e[2].length===2&&e[3].length===2,()=>\"Invalid number of paddings. Must be length of 2 each.\"),ka(r,e,t)}var N2=N({pad4d_:EK});function RK(r,e,t){let o=v(r,\"x\",\"spaceToBatchND\");$(o.rank>=1+e.length,()=>`input rank ${o.rank} should be > than [blockShape] ${e.length}`),$(t.length===e.length,()=>`paddings.shape[0] ${t.length} must be equal to [blockShape] ${e.length}`),$(o.shape.reduce((a,i,p)=>p>0&&p<=e.length?a&&(i+t[p-1][0]+t[p-1][1])%e[p-1]===0:a,!0),()=>`input spatial dimensions ${o.shape.slice(1)} with paddings ${t.toString()} must be divisible by blockShapes ${e.toString()}`);let n={x:o},s={blockShape:e,paddings:t};return T.runKernel(ca,n,s)}var Dd=N({spaceToBatchND_:RK});function DK(r,e,t,o,n,s,a){n==null&&(n=[1,1]),s==null&&(s=1),o===0&&(o=\"valid\");let i=v(r,\"x\",\"maxPool\"),p=i,u=!1;i.rank===3&&(u=!0,p=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(gr(s,n),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`);let c=ww(p.shape,e,s,n,o),l=[c.dilationHeight,c.dilationWidth],m;o===\"same\"?m=FK([c.filterHeight,c.filterWidth],l):m=[[0,0],[0,0]];let d=l[0]===1&&l[1]===1,[f,h]=AK([c.inHeight,c.inWidth],l,m),g=d?o:\"valid\",x=d?p:Dd(p,l,f),w=(t===\"avg\"?()=>cd(x,e,s,g,a):()=>$d(x,e,s,g,a))(),S=d?w:ld(w,l,h);return u?W(S,[S.shape[1],S.shape[2],S.shape[3]]):S}function AK(r,e,t){let o=t.map(c=>c[0]),n=t.map(c=>c[1]),s=r.concat(o,n),a=e.map((c,l)=>(c-s[l]%c)%c),i=n.map((c,l)=>c+a[l]),p=e.map((c,l)=>[o[l],i[l]]),u=e.map((c,l)=>[0,a[l]]);return[p,u]}function FK(r,e){let o=r.map((a,i)=>a+(a-1)*(e[i]-1)).map(a=>a-1),n=o.map(a=>Math.floor(a/2)),s=o.map((a,i)=>a-n[i]);return o.map((a,i)=>[n[i],s[i]])}var T2=N({pool_:DK});function PK(r,e){let t=v(r,\"x\",\"prelu\"),o=v(e,\"alpha\",\"prelu\"),n={x:t,alpha:o};return T.runKernel(Jn,n)}var Ad=N({prelu_:PK});function OK(r,e=null,t=!1){let o=v(r,\"x\",\"prod\");o.dtype===\"bool\"&&(o=Ye(o,\"int32\"));let n={x:o},s={axis:e,keepDims:t};return T.runKernel(es,n,s)}var _2=N({prod_:OK});function MK(r,e,t,o){let n=r.map((c,l)=>v(c,`tensors${l}`,\"raggedGather\",\"int32\")),s=v(e,\"paramsDenseValues\",\"raggedGather\"),a=v(t,\"indices\",\"raggedGather\",\"int32\"),i={paramsNestedSplits:n,paramsDenseValues:s,indices:a},p={outputRaggedRank:o},u=T.runKernel(Kp,i,p);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var $2=N({raggedGather_:MK});function LK(r,e,t){let o=v(r,\"starts\",\"raggedRange\"),n=v(e,\"limits\",\"raggedRange\",o.dtype),s=v(t,\"deltas\",\"raggedRange\",o.dtype),a={starts:o,limits:n,deltas:s},i=T.runKernel(qp,a);return{rtNestedSplits:i[0],rtDenseValues:i[1]}}var E2=N({raggedRange_:LK});function BK(r,e,t,o,n){let s=v(r,\"shape\",\"raggedTensorToTensor\",\"int32\"),a=v(e,\"values\",\"raggedTensorToTensor\"),i=v(t,\"defaultValue\",\"raggedTensorToTensor\",a.dtype),p=o.map((l,m)=>v(l,`tensors${m}`,\"raggedTensorToTensor\",\"int32\")),u={shape:s,values:a,defaultValue:i,rowPartitionTensors:p},c={rowPartitionTypes:n};return T.runKernel(jp,u,c)}var R2=N({raggedTensorToTensor_:BK});function zK(r,e,t){Ct(r);let o=Ue(r),n=null;if(t==null||t===\"float32\")n=new Float32Array(o);else if(t===\"int32\")n=new Int32Array(o);else if(t===\"bool\")n=new Uint8Array(o);else throw new Error(`Unknown data type ${t}`);for(let s=0;sX2,createVideoElement:()=>JK,encodeStrings:()=>Q2,expectArrayBuffersEqual:()=>ZK,expectArraysClose:()=>jK,expectArraysEqual:()=>YK,expectNumbersClose:()=>Y2,expectPromiseToFail:()=>XK,expectValuesInRange:()=>QK,play:()=>eq,testEpsilon:()=>Pd});var qK=.001,X2=.1;function jK(r,e,t){return t==null&&(t=Pd()),Dw(r,e,(o,n)=>Aw(o,n,t))}function Pd(){return T.backend.floatPrecision()===32?qK:X2}function Dw(r,e,t){let o=!0;if((Pt(r)||Pt(e))&&(o=!1),Pt(r)&&Pt(e)&&(o=!0),o){let a=r.constructor.name,i=e.constructor.name;if(a!==i)throw new Error(`Arrays are of different type. Actual: ${a}. Expected: ${i}`)}if(Array.isArray(r)&&Array.isArray(e)){let a=ar(r),i=ar(e);if(!br(a,i))throw new Error(`Arrays have different shapes. Actual: [${a}]. Expected: [${i}]`)}let n=Pt(r)?r:Es(r),s=Pt(e)?e:Es(e);if(n.length!==s.length)throw new Error(`Arrays have different lengths actual: ${n.length} vs expected: ${s.length}.\nActual: ${n}.\nExpected: ${s}.`);for(let a=0;ae.fail(),()=>e()),typeof expect!=\"undefined\"&&expect().nothing()}function YK(r,e){let t=typeof e==\"string\"||typeof e==\"number\"||typeof e==\"boolean\"?[e]:e;return Bo(r)||Bo(r[0])||Bo(e)||Bo(e[0])?Dw(r,t,(o,n)=>o==n):Dw(r,e,(o,n)=>Aw(o,n,0))}function Y2(r,e,t){if(t==null&&(t=Pd()),!Aw(r,e,t))throw new Error(`Numbers differ: actual === ${r}, expected === ${e}`);typeof expect!=\"undefined\"&&expect().nothing()}function Aw(r,e,t){return!isFinite(r)&&!isFinite(e)?!0:!(isNaN(r)||isNaN(e)||Math.abs(r-e)>t)}function QK(r,e,t){for(let o=0;ot)throw new Error(`Value out of range:${r[o]} low: ${e}, high: ${t}`)}function ZK(r,e){let t=new Float32Array(r),o=new Float32Array(e);if(t.length!==o.length)throw new Error(`Expected ArrayBuffer to be of length ${o.length}, but it was ${t.length}`);for(let n=0;n{e.addEventListener(\"loadeddata\",o=>t(e)),e.load()})}async function eq(r){await r.play(),\"requestVideoFrameCallback\"in r&&await new Promise(e=>{r.requestVideoFrameCallback(e)})}var Gu=class{constructor(e,t,o,n,s){this.mean=e,this.stdDev=t,this.dtype=o,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let a=s||Math.random();this.random=Ld.alea(a.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,o=!1;for(;!o;){let n,s,a;do n=2*this.random()-1,s=2*this.random()-1,a=n*n+s*s;while(a>=1||a===0);let i=Math.sqrt(-2*Math.log(a)/a);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*s*i,(!this.truncated||this.isValidTruncated(e))&&(o=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype===\"float32\"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},Od=class{constructor(e,t,o,n){this.alpha=e,this.beta=1/t,this.dtype=o;let s=n||Math.random();this.randu=Ld.alea(s.toString()),this.randn=new Gu(0,1,o,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,o,n,s,a;for(;;){do n=this.randn.nextValue(),a=1+this.c*n;while(a<=0);if(a*=a*a,e=n*n,t=1-.331*e*e,o=.5*e+this.d*(1-a+Math.log(a)),s=this.randu(),sthis.dtype==null||this.dtype===\"float32\",this.min=e,this.range=t-e,this.dtype=o,n==null&&(n=Math.random()),typeof n==\"number\"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Ld.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function tq(r,e,t=1,o=\"float32\",n){if(Ct(r),t==null&&(t=1),o==null&&(o=\"float32\"),o!==\"float32\"&&o!==\"int32\")throw new Error(`Unsupported data type ${o}`);let s=new Od(e,t,o,n),a=me(r,o);for(let i=0;i`Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`),uo(e,0)}var o1=N({reverse1d_:lq});function mq(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${t.rank}.`),uo(t,e)}var n1=N({reverse2d_:mq});function dq(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${t.rank}.`),uo(t,e)}var s1=N({reverse3d_:dq});function fq(r,e){let t=v(r,\"x\",\"reverse\");return $(t.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${t.rank}.`),uo(t,e)}var a1=N({reverse4d_:fq});function hq(r){let t={x:v(r,\"x\",\"round\")};return T.runKernel(is,t)}var Vd=N({round_:hq});function gq(r){let t={x:v(r,\"x\",\"rsqrt\",\"float32\")};return T.runKernel(us,t)}var i1=N({rsqrt_:gq});function xq(r){let t={x:v(r,\"x\",\"selu\")};return T.runKernel(ms,t)}var u1=N({selu_:xq});function yq(r,e,t,o,n,s=[1,1],a=\"NHWC\"){let i=v(r,\"x\",\"separableConv2d\"),p=v(e,\"depthwiseFilter\",\"separableConv2d\"),u=v(t,\"pointwiseFilter\",\"separableConv2d\"),c=i,l=!1;if(i.rank===3&&(l=!0,c=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),a===\"NCHW\")throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");$(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),$(p.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let m=p.shape[2],d=p.shape[3];$(u.shape[2]===m*d,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*d}, but got ${u.shape[2]}.`);let f=ac(c,p,o,n,a,s),g=ou(f,u,1,\"valid\",a);return l?W(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var p1=N({separableConv2d_:yq});async function bq(r,e){let t=v(r,\"x\",\"setdiff1d\"),o=v(e,\"y\",\"setdiff1d\");$(t.dtype===o.dtype,()=>`x and y should have the same dtype, but got x (${t.dtype}) and y (${o.dtype}).`),$(t.rank===1,()=>`x should be 1D tensor, but got x (${t.shape}).`),$(o.rank===1,()=>`y should be 1D tensor, but got y (${o.shape}).`);let n=await t.data(),s=await o.data(),a=new Set(s),i=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`),qe(o,[e],[t])}var f1=N({slice1d_:Iq});function vq(r,e,t){let o=v(r,\"x\",\"slice2d\");return $(o.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var h1=N({slice2d_:vq});function kq(r,e,t){let o=v(r,\"x\",\"slice3d\");return $(o.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var g1=N({slice3d_:kq});function Nq(r,e,t){let o=v(r,\"x\",\"slice4d\");return $(o.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var x1=N({slice4d_:Nq});function Tq(r,e=-1){let t=v(r,\"logits\",\"softmax\",\"float32\");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and dim was ${e}`);let o={logits:t},n={dim:e};return T.runKernel(bs,o,n)}var y1=N({softmax_:Tq});function _q(r){$(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(Pi,e)}var pc=N({fft_:_q});function $q(r){$(r.dtype===\"complex64\",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(Oi,e)}var Hu=N({ifft_:$q});function Eq(r){let e=r.shape[r.shape.length-1],t=r.size/e,o;if(e<=2){let n=W(r,[t,e]);o=Hu(n)}else{let n=[t,2*(e-1)],s=W(si(r),[t,e]),a=W(su(r),[t,e]),i=uo(qe(s,[0,1],[t,e-2]),1),p=se(uo(qe(a,[0,1],[t,e-2]),1),ke(-1)),u=yt([s,i],1),c=yt([a,p],1),l=W($r(u,c),[n[0],n[1]]);o=Hu(l)}if(o=si(o),r.rank===3&&r.shape[0]!==0){let n=o,s=r.shape[0];o=W(o,[s,o.shape[0]/s,o.shape[1]]),n.dispose()}return o}var Wd=N({irfft_:Eq});function Rq(r,e,t=0){let n={x:v(r,\"x\",\"split\")},s={numOrSizeSplits:e,axis:t};return T.runKernel(la,n,s)}var ai=N({split_:Rq});function Dq(r,e){$(r.dtype===\"float32\",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let t=r.shape[r.shape.length-1],o=r.size/t,n;if(e!=null&&e0),h=r.shape.map(g=>g);h[r.shape.length-1]=e,n=qe(r,f,h),t=e}else if(e!=null&&e>t){let f=r.shape.map(h=>h);f[r.shape.length-1]=e-t,n=yt([r,Wr(f)],r.shape.length-1),t=e}else n=r;let s=Ht(n),a=W($r(n,s),[o,t]),i=pc(a),p=Math.floor(t/2)+1,u=si(i),c=su(i),l=ai(u,[p,t-p],u.shape.length-1),m=ai(c,[p,t-p],c.shape.length-1),d=n.shape.slice();return d[n.shape.length-1]=p,W($r(l[0],m[0]),d)}var cc=N({rfft_:Dq});function Aq(r,e){let t=v(r,\"a\",\"squaredDifference\"),o=v(e,\"b\",\"squaredDifference\");[t,o]=Oe(t,o),rt(t.shape,o.shape);let n={a:t,b:o},s={};return T.runKernel(ws,n,s)}var Ud=N({squaredDifference_:Aq});function Fq(r,e){let t=v(r,\"x\",\"squeeze\",\"string_or_numeric\");return W(t,MC(t.shape,e).newShape)}var lc=N({squeeze_:Fq});function Pq(r,e=0){let t=Ja(r,\"tensors\",\"stack\",\"string_or_numeric\");$(t.length>=1,()=>\"Pass at least one tensor to tf.stack\"),t.length>0&&$(e<=t[0].rank,()=>\"Axis must be <= rank of the tensor\");let o=t,n={axis:e};return T.runKernel(sa,o,n)}var vr=N({stack_:Pq});function Oq(r,e=0){let o={x:v(r,\"x\",\"step\")},n={alpha:e};return T.runKernel(yo,o,n)}var Gd=N({step_:Oq});function Mq(r,e,t,o,n=0,s=0,a=0,i=0,p=0){let c={x:v(r,\"x\",\"stridedSlice\",\"string_or_numeric\")},l={begin:e,end:t,strides:o,beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};return T.runKernel(Ss,c,l)}var b1=N({stridedSlice_:Mq});function Lq(r){let t={x:v(r,\"x\",\"tan\",\"float32\")};return T.runKernel(vs,t)}var C1=N({tan_:Lq});function xr(r,e){oo(r);let t=ar(r,e);if(t.length!==1)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return wr(r,null,t,e)}function uu(r,e,t){if(oo(r),e!=null&&e.length!==2)throw new Error(\"tensor2d() requires shape to have two numbers\");let o=ar(r,t);if(o.length!==2&&o.length!==1)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return wr(r,e,o,t)}function Hd(r,e,t){if(oo(r),e!=null&&e.length!==3)throw new Error(\"tensor3d() requires shape to have three numbers\");let o=ar(r,t);if(o.length!==3&&o.length!==1)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return wr(r,e,o,t)}function w1(r,e,t){if(oo(r),e!=null&&e.length!==4)throw new Error(\"tensor4d() requires shape to have four numbers\");let o=ar(r,t);if(o.length!==4&&o.length!==1)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return wr(r,e,o,t)}function S1(r,e,t){if(oo(r),e!=null&&e.length!==5)throw new Error(\"tensor5d() requires shape to have five numbers\");let o=ar(r,t);if(o.length!==5&&o.length!==1)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return wr(r,e,o,t)}function I1(r,e,t){if(oo(r),e!=null&&e.length!==6)throw new Error(\"tensor6d() requires shape to have six numbers\");let o=ar(r,t);if(o.length!==6&&o.length!==1)throw new Error(\"tensor6d() requires values to be number[][][][][][] or flat/TypedArray\");if(o.length===1&&e==null)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return e=e||o,wr(r,e,o,t)}var pu={};He(pu,{calculateShapes:()=>v1,validateInput:()=>mc,validateUpdateShape:()=>Fw});function Fw(r,e,t){let o=e.rank>1?e.shape[e.rank-1]:1,n=e.rank>1?e.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${t.shape}, indices.shape: ${e.shape}, shape: ${r}, sliceDim: ${o}, and batchDim: ${n}.`;if(t.rank1?e.shape[o-1]:1,s=t.length,a=1;for(let l=n;l= 0 but got ${e}`);if(e>n)throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`);let s={x:o},a={k:e,sorted:t},[i,p]=T.runKernel(Ns,s,a);return{values:i,indices:p}}var N1=N({topk_:zq});function Vq(r,e=0,t=1,o,n){if(Ct(r),o!=null&&o===\"bool\")throw new Error(\"Unsupported data type $ { dtype }\");let s=new Gu(e,t,o,!0,n),a=me(r,o);for(let i=0;i0,()=>\"The input tensor must be at least 1D\");let o={x:t},n={axis:e},[s,a]=T.runKernel(qi,o,n);return{values:s,indices:a}}var _1=N({unique_:Wq});function Uq(r,e,t){let o=v(r,\"x\",\"unsortedSegmentSum\"),n=v(e,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");$(Ba(t),()=>\"numSegments must be of dtype int\");let s={x:o,segmentIds:n},a={numSegments:t};return T.runKernel(ji,s,a)}var $1=N({unsortedSegmentSum_:Uq});function Gq(r,e=0){let t=v(r,\"x\",\"unstack\",\"string_or_numeric\");$(e>=-t.shape.length&&e`Axis = ${e} is not in [-${t.shape.length}, ${t.shape.length})`);let o={value:t},n={axis:e};return T.runKernel(da,o,n)}var po=N({unstack_:Gq});function E1(r,e){return Nl(r,e,\"right\")}function R1(r,e=!0,t,o){return T.makeVariable(r,e,t,o)}function Kd(r,e){let t=[];for(let s=0;s0,()=>\"mask cannot be scalar\"),xt(i.slice(s,s+a),n.shape,\"mask's shape must match the first K dimensions of tensor's shape,\");let p=1;for(let h=s;hi).reverse()),$(o.rank===e.length,()=>`Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`),e.forEach(a=>{$(a>=0&&a`All entries in 'perm' must be between 0 and ${o.rank-1} but got ${e}`)}),o.rank<=1)return o.clone();let n={x:o},s={perm:e};return o.dtype===\"complex64\"?De(()=>{let a=si(o),i=su(o);return a=T.runKernel(ao,{x:a},s),i=T.runKernel(ao,{x:i},s),t&&(i=pr(i)),$r(a,i)}):T.runKernel(ao,n,s)}var dc=N({transpose_:jq});function Xq(r,e,t,o,n=!0){let s=v(r,\"v\",\"movingAverage\"),a=v(e,\"x\",\"movingAverage\"),i=v(t,\"decay\",\"movingAverage\");nw(s,a),$(br(s.shape,a.shape),()=>\"Shape mismatch in v and x\");let p=ke(1),u=Te(p,i),c=se(Te(a,s),u);if(n){$(o!=null,()=>\"When using zeroDebias: true, step is required.\");let l=v(o,\"step\",\"movingAverage\");c=Ke(c,Te(p,ri(i,l)))}return be(s,c)}var Yq=N({movingAverage_:Xq});function Qq(r,e,t){Ct(t);let o=v(r,\"indices\",\"scatterND\",\"int32\"),n=v(e,\"updates\",\"scatterND\");mc(n,o,t);let s={indices:o,updates:n},a={shape:t};return T.runKernel(ps,s,a)}var Zq=N({scatterND_:Qq});function D1(r,e,t,o){if(r.dtype!==\"int32\")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let n=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(t.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${t.length}, should be: ${s}.`);let a=e.size;if(!(e.rank===0||e.rank===1&&a===n))throw new Error(`sparseValues has incorrect shape ${e.shape}, should be [] or [${n}]`);if(e.dtype!==o.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function e6(r,e,t,o=0){Ct(t);let n=v(r,\"sparseIndices\",\"sparseToDense\",\"int32\"),s=v(e,\"sparseValues\",\"sparseToDense\",\"string_or_numeric\"),a=v(o,\"defaultValue\",\"sparseToDense\",s.dtype);D1(n,s,t,a);let i={sparseIndices:n,sparseValues:s,defaultValue:a},p={outputShape:t};return T.runKernel(Cs,i,p)}var t6=N({sparseToDense_:e6});function r6(r,e){let t=v(e,\"indices\",\"gatherND\",\"int32\"),n={params:v(r,\"x\",\"gatherND\",\"string_or_numeric\"),indices:t};return T.runKernel(Sn,n)}var o6=N({gatherND_:r6});function A1(r,e){if(e==null)return r.shape.slice();if(br(r.shape,e))return e;if(r.shape.length===e.length){let t=[];for(let o=0;o`x has to be a floating point tensor since it's going to be scaled, but got a ${n.dtype} tensor instead.`),$(e>=0&&e<1,()=>`rate must be a float in the range [0, 1), but got ${e}.`),e===0)return r instanceof pt?n.clone():n;let s=A1(n,t),a=1-e,i=Ke(yd(be(uc(s,0,1,\"float32\",o),a)),a);return se(n,i)}var s6=N({dropout_:n6});function Pw(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function _l(r,e,t){let o=1-r%2,n=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`),$(o.rank-1===n.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`),xt(o.shape.slice(0,o.shape.length-1),n.shape,\"predictions's shape should be align with the targets' shape, except the last dimension.\");let s=o.shape[o.shape.length-1];$(t>0&&t<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${t}`);let a=await o.data(),i=await n.data(),[p,u]=[a.length/s,s],c=LC(\"bool\",p);for(let l=0;lg.value-h.value),c[l]=0;for(let h=0;hP1,depthwiseConv2d:()=>L1,matMul:()=>B1});function u6(r,e,t,o,n,s=\"NHWC\",a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]])),$(i.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${i.shape}.`),$(p.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${p.shape}.`),$(t.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${t}.`);let u=s===\"NHWC\"?i.shape[3]:i.shape[1],c=s===\"NHWC\"?p.shape[3]:p.shape[1];$(u===t[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t[2]}.`),$(c===t[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t[3]}).`),Lt(\"conv2dDerFilter\",n,a);let l={x:i,dy:p},m={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,filterShape:t};return T.runKernel($i,l,m)}var F1=N({conv2DBackpropFilter_:u6});function Ku(r,e,t){if(t==null||t===\"linear\")return r;if(t===\"relu\")return se(r,Gd(e));throw new Error(`Cannot compute gradient for fused activation ${t}.`)}function qu(r,e){let t=e,o=fd(r.shape,e.shape);return o.length>0&&(t=ot(t,o)),W(t,r.shape)}function ju(r,e,t,o){if(e===\"linear\")return r;if(e===\"relu\")return iu(r);if(e===\"elu\")return gd(r);if(e===\"relu6\")return zd(r);if(e===\"prelu\")return Ad(r,t);if(e===\"leakyrelu\")return wd(r,o);if(e===\"sigmoid\")return wa(r);throw new Error(`Unknown fused activation ${e}.`)}var Xu=(r,e)=>!(r>0)||e===\"linear\";function p6({x:r,filter:e,strides:t,pad:o,dataFormat:n=\"NHWC\",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p=\"linear\",preluActivationWeights:u,leakyreluAlpha:c}){if(p=p||\"linear\",Xu(T.state.gradientDepth,p)===!1){$(n===\"NHWC\",()=>`Error in fused conv2d: got dataFormat of ${n} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=ou(r,e,t,o,n,s,a);return i!=null&&(_=be(_,i)),ju(_,p,u,c)}let l=v(r,\"x\",\"conv2d\",\"float32\"),m=v(e,\"filter\",\"conv2d\",\"float32\"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Lt(\"fused conv2d\",o,a);let h=n===\"NHWC\"?d.shape[3]:d.shape[1];$(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),$(gr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`);let g=Mu(d.shape,m.shape,t,s,o,a),x;i!=null&&(x=v(i,\"bias\",\"fused conv2d\"),[x]=Oe(x,l),n===\"NHWC\"?rt(g.outShape,x.shape):($(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),$(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(u!=null){let _=u.shape;if($(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)$(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{rt(_,g.outShape)}catch(E){let R=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(R)}b=v(u,\"prelu weights\",\"fused conv2d\")}let w=(_,E)=>{$(n===\"NHWC\",()=>`Error in gradient of fused conv2D: got dataFormat of ${n} but only NHWC is currently supported.`);let[R,D,F,O]=E,M=Ku(_,F,p);$(Ou(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let L=dd(D.shape,M,R,t,o),B=F1(D,M,R.shape,t,o),z=[L,B];if(O!=null){let U=qu(O,M);z.push(U)}return z},S={x:d,filter:m,bias:x,preluActivationWeights:b},k={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?Ir((E,R,D)=>{let F=T.runKernel(Co,S,k);return D([R,E,F]),f&&(F=W(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:w}})(d,m):Ir((E,R,D,F)=>{let O=T.runKernel(Co,S,k);return F([R,E,O,D]),f&&(O=W(O,[O.shape[1],O.shape[2],O.shape[3]])),{value:O,gradFunc:w}})(d,m,x)}var P1=N({fusedConv2d_:p6});function c6(r,e,t,o,n,s=[1,1],a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={x:i,dy:p},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,filterShape:t};return T.runKernel(Ei,u,c)}var O1=N({depthwiseConv2dNativeBackpropFilter_:c6});function l6(r,e,t,o,n,s=[1,1],a){let i=e,p=!1;e.rank===3&&(p=!0,i=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={dy:i,filter:t},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,inputShape:r},l=T.runKernel(Ri,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var M1=N({depthwiseConv2dNativeBackpropInput_:l6});function m6({x:r,filter:e,strides:t,pad:o,dataFormat:n=\"NHWC\",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p=\"linear\",preluActivationWeights:u,leakyreluAlpha:c}){if(Xu(T.state.gradientDepth,p)===!1){let k=ac(r,e,t,o,n,s,a);return i!=null&&(k=be(k,i)),ju(k,p,u,c)}let l=v(r,\"x\",\"depthwiseConv2d\",\"float32\"),m=v(e,\"filter\",\"depthwiseConv2d\",\"float32\"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),$(d.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),$(gr(t,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),Lt(\"fused depthwiseConv2d\",o,a);let h=Mu(d.shape,m.shape,t,s,o,a,!0),g;i!=null&&(g=v(i,\"bias\",\"fused conv2d\"),[g]=Oe(g,l),rt(h.outShape,g.shape));let x;u!=null&&(x=v(u,\"prelu weights\",\"fused depthwiseConv2d\"));let b=(k,_)=>{$(Ou(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[E,R,D,F]=_,O=Ku(k,D,p),M=M1(R.shape,O,E,t,o,s,a),L=O1(R,O,E.shape,t,o,s,a);if(F!=null){let B=qu(g,O);return[M,L,B]}return[M,L]},w={x:d,filter:m,bias:g,preluActivationWeights:x},S={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?Ir((_,E,R)=>{let D=T.runKernel(wo,w,S);return R([E,_,D]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:b}})(d,m):Ir((_,E,R,D)=>{let F=T.runKernel(wo,w,S);return D([E,_,F,R]),f&&(F=W(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(d,m,g)}var L1=N({fusedDepthwiseConv2d_:m6});function d6({a:r,b:e,transposeA:t=!1,transposeB:o=!1,bias:n,activation:s=\"linear\",preluActivationWeights:a,leakyreluAlpha:i=.2}){if(Xu(T.state.gradientDepth,s)===!1){let O=Qe(r,e,t,o);return n!=null&&(O=be(O,n)),ju(O,s,a,i)}let p=v(r,\"a\",\"fused matMul\"),u=v(e,\"b\",\"fused matMul\");[p,u]=Oe(p,u);let c=t?p.shape[p.rank-2]:p.shape[p.rank-1],l=o?u.shape[u.rank-1]:u.shape[u.rank-2],m=t?p.shape[p.rank-1]:p.shape[p.rank-2],d=o?u.shape[u.rank-2]:u.shape[u.rank-1],f=p.shape.slice(0,-2),h=u.shape.slice(0,-2),g=Ue(f),x=Ue(h);$(c===l,()=>`Error in fused matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${p.shape} and ${u.shape} and transposeA=${t} and transposeB=${o} must match.`);let w=rt(p.shape.slice(0,-2),u.shape.slice(0,-2)).concat([m,d]),S=t?W(p,[g,c,m]):W(p,[g,m,c]),k=o?W(u,[x,d,l]):W(u,[x,l,d]),_;n!=null&&(_=v(n,\"bias\",\"fused matMul\"),[_]=Oe(_,p),rt(w,_.shape));let E;a!=null&&(E=v(a,\"prelu weights\",\"fused matMul\"));let R=(O,M)=>{let[L,B,z,U]=M,j=Ku(W(O,z.shape),z,s),H,X;if(!t&&!o?(H=Qe(j,B,!1,!0),X=Qe(L,j,!0,!1)):!t&&o?(H=Qe(j,B,!1,!1),X=Qe(j,L,!0,!1)):t&&!o?(H=Qe(B,j,!1,!0),X=Qe(L,j,!1,!1)):(H=Qe(B,j,!0,!0),X=Qe(j,L,!0,!0)),n!=null){let J=qu(U,j);return[H,X,J]}else return[H,X]},D={a:S,b:k,bias:_,preluActivationWeights:E},F={transposeA:t,transposeB:o,activation:s,leakyreluAlpha:i};return n==null?Ir((M,L,B)=>{let z=T.runKernel(bo,D,F);return B([M,L,z]),{value:W(z,w),gradFunc:R}})(S,k):Ir((M,L,B,z)=>{let U=T.runKernel(bo,D,F);return z([M,L,U,B]),{value:W(U,w),gradFunc:R}})(S,k,_)}var B1=N({fusedMatMul_:d6});function f6(r){return _l(r,.54,.46)}var z1=N({hammingWindow_:f6});function h6(r){return _l(r,.5,.5)}var jd=N({hannWindow_:h6});function g6(r,e,t,o=!1,n=0){let s=0,a=[];for(;s+e<=r.size;)a.push(qe(r,s,e)),s+=t;if(o)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&i.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${i.shape}.`),$(p.rank===1&&p.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${i.shape}.`),$(o.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${o.length}.`),$(o[0]>=1&&o[1]>=1,()=>`cropSize must be atleast [1,1], but was ${o}`),$(n===\"bilinear\"||n===\"nearest\",()=>`method must be bilinear or nearest, but was ${n}`);let c={image:a,boxes:i,boxInd:p},l={method:n,extrapolationValue:s,cropSize:o};return T.runKernel(pn,c,l)}var W1=N({cropAndResize_:y6});function b6(r){let e=v(r,\"image\",\"flipLeftRight\",\"float32\");$(e.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`);let t={image:e};return T.runKernel(yn,t,{})}var U1=N({flipLeftRight_:b6});function C6(r){let e=v(r,\"image\",\"grayscaleToRGB\"),t=e.rank-1,o=e.shape[t];$(e.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${e.rank}.`),$(o===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${o}.`);let n=new Array(e.rank);return n.fill(1,0,t),n[t]=3,nu(e,n)}var G1=N({grayscaleToRGB_:C6});function w6(r,e,t=0,o=.5){let n=v(r,\"image\",\"rotateWithOffset\",\"float32\");$(n.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${n.rank}.`);let s={image:n},a={radians:e,fillValue:t,center:o};return T.runKernel(_s,s,a)}var H1=N({rotateWithOffset_:w6});function No(r,e,t,o,n,s){o==null&&(o=.5),n==null&&(n=Number.NEGATIVE_INFINITY),s==null&&(s=0);let a=r.shape[0];return t=Math.min(t,a),$(0<=o&&o<=1,()=>`iouThreshold must be in [0, 1], but was '${o}'`),$(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),$(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),$(e.rank===1,()=>\"scores must be a 1D tensor\"),$(e.shape[0]===a,()=>`scores has incompatible shape with boxes. Expected ${a}, but was ${e.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s}}function S6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppression\",\"float32\"),a=v(e,\"scores\",\"nonMaxSuppression\",\"float32\"),i=No(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p={maxOutputSize:t,iouThreshold:o,scoreThreshold:n};return T.runKernel(jn,{boxes:s,scores:a},p)}var K1=N({nonMaxSuppression_:S6});function q1(r,e,t){let o=I6(r,e,t),n=o<0?-(o+1):o;r.splice(n,0,e)}function I6(r,e,t){return k6(r,e,t||v6)}function v6(r,e){return r>e?1:r>>1);let i=t(e,r[s]);i>0?o=s+1:(n=s,a=!i)}return a?o:-o-1}function Yd(r,e,t,o,n){return Mw(r,e,t,o,n,0)}function Qd(r,e,t,o,n,s){return Mw(r,e,t,o,n,0,!1,s,!0)}function Zd(r,e,t,o,n,s){return Mw(r,e,t,o,n,s,!0)}function Mw(r,e,t,o,n,s,a=!1,i=!1,p=!1){let u=[];for(let g=0;gn&&u.push({score:e[g],boxIndex:g,suppressBeginIndex:0});u.sort(j1);let c=s>0?-.5/s:0,l=[],m=[];for(;l.length0;){let g=u.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--k){let _=N6(r,b,l[k]);if(_>=o){S=!0;break}if(g.score=g.score*T6(o,c,_),g.score<=n)break}g.suppressBeginIndex=l.length,S||(g.score===x?(l.push(b),m.push(g.score)):g.score>n&&q1(u,g,j1))}let d=l.length,f=t-d;i&&f>0&&(l.push(...new Array(f).fill(0)),m.push(...new Array(f).fill(0)));let h={selectedIndices:l};return a&&(h.selectedScores=m),p&&(h.validOutputs=d),h}function N6(r,e,t){let o=r.subarray(e*4,e*4+4),n=r.subarray(t*4,t*4+4),s=Math.min(o[0],o[2]),a=Math.min(o[1],o[3]),i=Math.max(o[0],o[2]),p=Math.max(o[1],o[3]),u=Math.min(n[0],n[2]),c=Math.min(n[1],n[3]),l=Math.max(n[0],n[2]),m=Math.max(n[1],n[3]),d=(i-s)*(p-a),f=(l-u)*(m-c);if(d<=0||f<=0)return 0;let h=Math.max(s,u),g=Math.max(a,c),x=Math.min(i,l),b=Math.min(p,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(d+f-w)}function T6(r,e,t){let o=Math.exp(e*t*t);return t<=r?o:0}function j1(r,e){return r.score-e.score||r.score===e.score&&e.boxIndex-r.boxIndex}async function _6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),a=v(e,\"scores\",\"nonMaxSuppressionAsync\"),i=No(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p=await Promise.all([s.data(),a.data()]),u=p[0],c=p[1],{selectedIndices:l}=Yd(u,c,t,o,n);return s!==r&&s.dispose(),a!==e&&a.dispose(),xr(l,\"int32\")}var X1=_6;function $6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,\"boxes\",\"nonMaxSuppression\"),i=v(e,\"scores\",\"nonMaxSuppression\"),p=No(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u={boxes:a,scores:i},c={maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s},l=T.runKernel(Xn,u,c);return{selectedIndices:l[0],selectedScores:l[1]}}var Y1=N({nonMaxSuppressionWithScore_:$6});async function E6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(e,\"scores\",\"nonMaxSuppressionAsync\"),p=No(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u=await Promise.all([a.data(),i.data()]),c=u[0],l=u[1],{selectedIndices:m,selectedScores:d}=Zd(c,l,t,o,n,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:xr(m,\"int32\"),selectedScores:xr(d)}}var Q1=E6;function R6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,\"boxes\",\"nonMaxSuppression\"),i=v(e,\"scores\",\"nonMaxSuppression\"),p=No(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,m={boxes:a,scores:i},d={maxOutputSize:u,iouThreshold:c,scoreThreshold:l,padToMaxOutputSize:s},f=T.runKernel(Ha,m,d);return{selectedIndices:f[0],validOutputs:f[1]}}var Z1=N({nonMaxSuppressionPadded_:R6});async function D6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,\"boxes\",\"nonMaxSuppressionAsync\"),i=v(e,\"scores\",\"nonMaxSuppressionAsync\"),p=No(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,[m,d]=await Promise.all([a.data(),i.data()]),{selectedIndices:f,validOutputs:h}=Qd(m,d,u,c,l,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:xr(f,\"int32\"),validOutputs:ke(h,\"int32\")}}var J1=D6;function A6(r,e,t=!1,o=!1){let n=v(r,\"images\",\"resizeBilinear\");$(n.rank===3||n.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${e}.`),$(o===!1||t===!1,()=>\"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.\");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(ns,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var eN=N({resizeBilinear_:A6});function F6(r,e,t=!1,o=!1){let n=v(r,\"images\",\"resizeNearestNeighbor\");$(n.rank===3||n.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${e}.`),$(n.dtype===\"float32\"||n.dtype===\"int32\",()=>\"`images` must have `int32` or `float32` as dtype\"),$(o===!1||t===!1,()=>\"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.\");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(os,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var tN=N({resizeNearestNeighbor_:F6});function P6(r,e=\"binary\",t=!1,o=.5){let n=v(r,\"image\",\"threshold\"),s=.2989,a=.587,i=.114,p=n.shape[0]*n.shape[1],u=se(xr([o]),255),c,l,m,d;if($(n.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${n.rank}.`),$(n.shape[2]===3||n.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${n.shape[2]}.`),$(n.dtype===\"int32\"||n.dtype===\"float32\",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${n.dtype}.`),$(e===\"otsu\"||e===\"binary\",()=>`Method must be binary or otsu, but was ${e}`),n.shape[2]===3){[c,l,m]=ai(n,[1,1,1],-1);let g=se(c,s),x=se(l,a),b=se(m,i);d=be(be(g,x),b)}else d=r;if(e===\"otsu\"){let g=md(Ye(Vd(d),\"int32\"),ir([]),256);u=O6(g,p)}let f=t?ic(d,u):Bu(d,u);return Ye(se(f,255),\"int32\")}function O6(r,e){let t=xr([-1]),o=xr([0]),n=xr([0]),s,a,i,p,u,c;for(let l=0;l`Error in transform: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&(i.shape[0]===a.shape[0]||i.shape[0]===1)&&i.shape[1]===8,()=>\"Error in transform: Input transform should be batch x 8 or 1 x 8\"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let p={image:a,transforms:i},u={interpolation:t,fillMode:o,fillValue:n,outputShape:s};return T.runKernel(Ts,p,u)}var oN=N({transform_:M6});function L6(r,e,t){let o=v(r,\"a\",\"bandPart\");$(o.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${o.rank}.`);let n=o.shape,[s,a]=o.shape.slice(-2),i,p;typeof e==\"number\"?($(e%1===0,()=>`bandPart(): numLower must be an integer, got ${e}.`),$(e<=s,()=>`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`),i=v(e<0?s:e,\"numLower\",\"bandPart\")):($(e.dtype===\"int32\",()=>\"bandPart(): numLower's dtype must be an int32.\"),i=io(kl(e,0),s,Wu(e,s))),typeof t==\"number\"?($(t%1===0,()=>`bandPart(): numUpper must be an integer, got ${t}.`),$(t<=a,()=>`bandPart(): numUpper (${t}) must not be greater than the number of columns (${a}).`),p=v(t<0?a:t,\"numUpper\",\"bandPart\")):($(t.dtype===\"int32\",()=>\"bandPart(): numUpper's dtype must be an int32.\"),p=io(kl(t,0),a,Wu(t,a)));let u=W(au(0,s,1,\"int32\"),[-1,1]),c=au(0,a,1,\"int32\"),l=Te(u,c),m=zu(ic(l,i),Cd(l,pr(p))),d=Wr([s,a],o.dtype);return W(vr(po(W(o,[-1,s,a])).map(f=>io(m,f,d))),n)}var nN=N({bandPart_:L6});function B6(r){let e;if(Array.isArray(r)){e=!1,$(r!=null&&r.length>0,()=>\"Gram-Schmidt process: input must not be null, undefined, or empty\");let n=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${n})`)}else e=!0,r=ai(r,r.shape[0],0).map(n=>lc(n,[0]));$(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let t=[],o=r;for(let n=0;n{let s=o[n];if(n>0)for(let a=0;a=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return aN(r,e);{let t=r.shape.slice(0,r.shape.length-2).reduce((p,u)=>p*u),o=po(W(r,[t,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),n=[],s=[];o.forEach(p=>{let[u,c]=aN(p,e);n.push(u),s.push(c)});let a=W(vr(n,0),r.shape),i=W(vr(s,0),r.shape);return[a,i]}}function aN(r,e=!1){return T.tidy(()=>{$(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let t=r.shape[0],o=r.shape[1],n=xd(t),s=Vr(r),a=uu([[1]],[1,1]),i=Vr(a),p=t>=o?o:t;for(let u=0;u{let d=qe(s,[u,u],[t-u,1]),f=Lu(d),h=qe(s,[u,u],[1,1]),g=io(Bu(h,0),uu([[-1]]),uu([[1]])),x=Te(h,se(g,f)),b=Ke(d,x);b.shape[0]===1?i=Vr(a):i=yt([a,qe(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=pr(Ke(Qe(g,x),f)),S=qe(s,[u,0],[t-u,o]),k=se(w,i),_=dc(i);if(u===0)s=Te(S,Qe(k,Qe(_,S)));else{let D=Te(S,Qe(k,Qe(_,S)));s=yt([qe(s,[0,0],[u,o]),D],0)}let E=dc(k),R=qe(n,[0,u],[t,n.shape[1]-u]);if(u===0)n=Te(R,Qe(Qe(R,i),E));else{let D=Te(R,Qe(Qe(R,i),E));n=yt([qe(n,[0,0],[t,u]),D],1)}return[i,s,n]}),Ot([c,l,m])}return!e&&t>o&&(n=qe(n,[0,0],[t,o]),s=qe(s,[0,0],[o,o])),[n,s]})}var iN=N({qr_:z6});var Et;(function(r){r[r.NONE=0]=\"NONE\",r[r.MEAN=1]=\"MEAN\",r[r.SUM=2]=\"SUM\",r[r.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"})(Et||(Et={}));function V6(r,e,t=Et.SUM_BY_NONZERO_WEIGHTS){let o=v(r,\"losses\",\"computeWeightedLoss\"),n=null;e!=null&&(n=v(e,\"weights\",\"computeWeightedLoss\"));let s=n==null?o:se(o,n);if(t===Et.NONE)return s;if(t===Et.SUM)return ot(s);if(t===Et.MEAN){if(n==null)return Vu(s);{let a=o.size/n.size,i=Ke(ot(s),ot(n));return a>1?Ke(i,ke(a)):i}}if(t===Et.SUM_BY_NONZERO_WEIGHTS){if(n==null)return Ke(ot(s),ke(o.size));{let a=se(n,va(o.shape)),i=Ye(ot(Rd(a,ke(0))),\"float32\");return Ke(ot(s),i)}}throw Error(`Unknown reduction: ${t}`)}var cr=N({computeWeightedLoss_:V6});function W6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"absoluteDifference\"),s=v(e,\"predictions\",\"absoluteDifference\"),a=null;t!=null&&(a=v(t,\"weights\",\"absoluteDifference\")),xt(n.shape,s.shape,\"Error in absoluteDifference: \");let i=Zt(Te(n,s));return cr(i,a,o)}var uN=N({absoluteDifference_:W6});function U6(r,e,t,o,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"cosineDistance\"),a=v(e,\"predictions\",\"cosineDistance\"),i=null;o!=null&&(i=v(o,\"weights\",\"cosineDistance\")),xt(s.shape,a.shape,\"Error in cosineDistance: \");let p=ke(1),u=Te(p,ot(se(s,a),t,!0));return cr(u,i,n)}var pN=N({cosineDistance_:U6});function G6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"hingeLoss\"),s=v(e,\"predictions\",\"hingeLoss\"),a=null;t!=null&&(a=v(t,\"weights\",\"hingeLoss\")),xt(n.shape,s.shape,\"Error in hingeLoss: \");let i=ke(1);n=Te(se(ke(2),n),i);let p=iu(Te(i,se(n,s)));return cr(p,a,o)}var cN=N({hingeLoss_:G6});function H6(r,e,t,o=1,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"huberLoss\"),a=v(e,\"predictions\",\"huberLoss\"),i=null;t!=null&&(i=v(t,\"weights\",\"huberLoss\")),xt(s.shape,a.shape,\"Error in huberLoss: \");let p=ke(o),u=Zt(Te(a,s)),c=Wu(u,p),l=Te(u,c),m=be(se(ke(.5),Jt(c)),se(p,l));return cr(m,i,n)}var lN=N({huberLoss_:H6});function K6(r,e,t,o=1e-7,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"labels\",\"logLoss\"),a=v(e,\"predictions\",\"logLoss\"),i=null;t!=null&&(i=v(t,\"weights\",\"logLoss\")),xt(s.shape,a.shape,\"Error in logLoss: \");let p=ke(1),u=ke(o),c=pr(se(s,ni(be(a,u)))),l=se(Te(p,s),ni(be(Te(p,a),u))),m=Te(c,l);return cr(m,i,n)}var mN=N({logLoss_:K6});function q6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,\"labels\",\"meanSquaredError\"),s=v(e,\"predictions\",\"meanSquaredError\"),a=null;t!=null&&(a=v(t,\"weights\",\"meanSquaredError\")),xt(n.shape,s.shape,\"Error in meanSquaredError: \");let i=Ud(n,s);return cr(i,a,o)}var dN=N({meanSquaredError_:q6});function j6(r,e){let t=v(r,\"labels\",\"sigmoidCrossEntropyWithLogits\"),o=v(e,\"logits\",\"sigmoidCrossEntropyWithLogits\");xt(t.shape,o.shape,\"Error in sigmoidCrossEntropyWithLogits: \");let n=iu(o),s=se(o,t),a=Sd(ko(pr(Zt(o))));return be(Te(n,s),a)}function X6(r,e,t,o=0,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"multiClassLabels\",\"sigmoidCrossEntropy\"),a=v(e,\"logits\",\"sigmoidCrossEntropy\"),i=null;if(t!=null&&(i=v(t,\"weights\",\"sigmoidCrossEntropy\")),xt(s.shape,a.shape,\"Error in sigmoidCrossEntropy: \"),o>0){let u=ke(o),c=ke(1),l=ke(.5);s=be(se(s,Te(c,u)),se(l,u))}let p=j6(s,a);return cr(p,i,n)}var fN=N({sigmoidCrossEntropy_:X6});function Y6(r,e,t=-1){if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t}`);return Ir((n,s,a)=>{let p=kd(s,[t],!0),u=Te(Ye(s,\"float32\"),p);a([n,u]);let c=pr(se(u,n));return{value:ot(c,[t]),gradFunc:(d,f)=>{let[h,g]=f,x=ti(d.shape,[t]);return[se(W(d,x),Te(Ye(h,\"float32\"),ko(g))),se(W(d,x),Te(ko(g),Ye(h,\"float32\")))]}}})(r,e)}function Q6(r,e,t,o=0,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,\"onehotLabels\",\"softmaxCrossEntropy\"),a=v(e,\"logits\",\"softmaxCrossEntropy\"),i=null;if(t!=null&&(i=v(t,\"weights\",\"softmaxCrossEntropy\")),xt(s.shape,a.shape,\"Error in softmaxCrossEntropy: \"),o>0){let u=ke(o),c=ke(1),l=ke(s.shape[1]);s=be(se(s,Te(c,u)),Ke(u,l))}let p=Y6(s,a);return cr(p,i,n)}var hN=N({softmaxCrossEntropy_:Q6});function Z6(r,e,t,o){let n=v(r,\"indices\",\"sparseFillEmptyRows\",\"int32\"),s=v(e,\"values\",\"sparseFillEmptyRows\"),a=v(t,\"denseShape\",\"sparseFillEmptyRows\",\"int32\"),i=v(o,\"defaultValue\",\"sparseFillEmptyRows\",s.dtype);if(n.rank!==2)throw new Error(`Indices should be Tensor2D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(a.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${a.shape}`);if(i.rank!==0)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);let p={indices:n,values:s,denseShape:a,defaultValue:i},u=T.runKernel(Vi,p);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var gN=N({sparseFillEmptyRows_:Z6});function J6(r,e,t){let o=v(r,\"inputIndices\",\"sparseReshape\",\"int32\"),n=v(e,\"inputShape\",\"sparseReshape\",\"int32\"),s=v(t,\"newShape\",\"sparseReshape\",\"int32\");if(o.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape\n ${o.shape}`);if(n.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let a={inputIndices:o,inputShape:n,newShape:s},i=T.runKernel(Xa,a);return{outputIndices:i[0],outputShape:i[1]}}var xN=N({sparseReshape_:J6});function ej(r,e,t){let o=v(r,\"data\",\"sparseSegmentMean\"),n=v(e,\"indices\",\"sparseSegmentMean\",\"int32\"),s=v(t,\"segmentIds\",\"sparseSegmentMean\",\"int32\");if(o.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(Wi,a)}var yN=N({sparseSegmentMean_:ej});function tj(r,e,t){let o=v(r,\"data\",\"sparseSegmentSum\"),n=v(e,\"indices\",\"sparseSegmentSum\",\"int32\"),s=v(t,\"segmentIds\",\"sparseSegmentSum\",\"int32\");if(o.rank<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape\n ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(Ui,a)}var bN=N({sparseSegmentSum_:tj});function rj(r,e,t,o,n,s,a,i){let p=v(r,\"data\",\"stringNGrams\",\"string\");if(p.dtype!==\"string\")throw new Error(\"Data must be of datatype string\");if(p.shape.length!==1)throw new Error(`Data must be a vector, saw: ${p.shape}`);let u=v(e,\"dataSplits\",\"stringNGrams\");if(u.dtype!==\"int32\")throw new Error(\"Data splits must be of datatype int32\");let c={separator:t,nGramWidths:o,leftPad:n,rightPad:s,padWidth:a,preserveShortSequences:i},l={data:p,dataSplits:u},m=T.runKernel(ma,l,c);return{nGrams:m[0],nGramsSplits:m[1]}}var CN=N({stringNGrams_:rj});function oj(r,e,t=!0){let o=v(r,\"input\",\"stringSplit\",\"string\"),n=v(e,\"delimiter\",\"stringSplit\",\"string\");if(o.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${o.shape}`);if(n.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${n.shape}`);let s={skipEmpty:t},a={input:o,delimiter:n},i=T.runKernel(Hi,a,s);return{indices:i[0],values:i[1],shape:i[2]}}var wN=N({stringSplit_:oj});function nj(r,e){let t=v(r,\"input\",\"stringToHashBucketFast\",\"string\"),o={numBuckets:e};if(e<=0)throw new Error(\"Number of buckets must be at least 1\");let n={input:t};return T.runKernel(Ki,n,o)}var SN=N({stringToHashBucketFast_:nj});function sj(r,e,t,o=!0){let n=v(r,\"input\",\"staticRegexReplace\",\"string\"),s={pattern:e,rewrite:t,replaceGlobal:o};return T.runKernel(_u,{x:n},s)}var IN=N({staticRegexReplace_:sj});var aj={fft:pc,ifft:Hu,rfft:cc,irfft:Wd},ij={hammingWindow:z1,hannWindow:jd,frame:Xd,stft:V1},uj={flipLeftRight:U1,grayscaleToRGB:G1,resizeNearestNeighbor:tN,resizeBilinear:eN,rotateWithOffset:H1,cropAndResize:W1,nonMaxSuppression:K1,nonMaxSuppressionAsync:X1,nonMaxSuppressionWithScore:Y1,nonMaxSuppressionWithScoreAsync:Q1,nonMaxSuppressionPadded:Z1,nonMaxSuppressionPaddedAsync:J1,threshold:rN,transform:oN},pj={bandPart:nN,gramSchmidt:sN,qr:iN},cj={absoluteDifference:uN,computeWeightedLoss:cr,cosineDistance:pN,hingeLoss:cN,huberLoss:lN,logLoss:mN,meanSquaredError:dN,sigmoidCrossEntropy:fN,softmaxCrossEntropy:hN},lj={sparseFillEmptyRows:gN,sparseReshape:xN,sparseSegmentMean:yN,sparseSegmentSum:bN},mj={stringNGrams:CN,stringSplit:wN,stringToHashBucketFast:SN,staticRegexReplace:IN};var vN={};He(vN,{Serializable:()=>$l,SerializationMap:()=>Na,registerClass:()=>Lw});var $l=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Na=class{constructor(){this.classNameMap={}}static getMap(){return Na.instance==null&&(Na.instance=new Na),Na.instance}static register(e){Na.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function Lw(r){$(r.className!=null,()=>\"Class being registered does not have the static className property defined.\"),$(typeof r.className==\"string\",()=>\"className is required to be a string, but got type \"+typeof r.className),$(r.className.length>0,()=>\"Class being registered has an empty-string as its className, which is disallowed.\"),Na.register(r)}var kr=class extends $l{minimize(e,t=!1,o){let{value:n,grads:s}=this.computeGradients(e,o);if(o!=null){let a=o.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ot(s),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return vw(e,t)}dispose(){this.iterations_!=null&&Ot(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:\"iter\",tensor:ke(this.iterations_,\"int32\")}}async getWeights(){throw new Error(\"getWeights() is not implemented for this optimizer yet.\")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(kr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var Yu=class extends kr{static get className(){return\"Adadelta\"}constructor(e,t,o=null){super(),this.learningRate=e,this.rho=t,this.epsilon=o,this.accumulatedGrads=[],this.accumulatedUpdates=[],o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accum_grad`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${o}/accum_var`,variable:De(()=>Ht(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedGrads[n].variable,u=this.accumulatedUpdates[n].variable;De(()=>{let c=be(se(p,this.rho),se(Jt(i),1-this.rho)),l=se(Ke(Rr(be(u,this.epsilon)),Rr(be(p,this.epsilon))),i),m=be(se(u,this.rho),se(Jt(l),1-this.rho));p.assign(c),u.assign(m);let d=be(se(l,-this.learningRate),s);s.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ot(this.accumulatedGrads.map(e=>e.variable)),Ot(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,o=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};var Qu=class extends kr{static get className(){return\"Adagrad\"}constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accumulator`,variable:De(()=>Sa(s.shape,this.initialAccumulatorValue).variable(!1))});let a=Array.isArray(e)?e[n].tensor:e[o];if(a==null)return;let i=this.accumulatedGrads[n].variable;De(()=>{let p=be(i,Jt(a));i.assign(p);let u=be(se(Ke(a,Rr(be(p,T.backend.epsilon()))),-this.learningRate),s);s.assign(u)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Ot(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};var Zu=class extends kr{static get className(){return\"Adam\"}constructor(e,t,o,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],De(()=>{this.accBeta1=ke(t).variable(),this.accBeta2=ke(o).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);De(()=>{let o=Te(1,this.accBeta1),n=Te(1,this.accBeta2);t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:De(()=>Ht(i).variable(p))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:De(()=>Ht(i).variable(p))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,m=be(se(c,this.beta1),se(u,1-this.beta1)),d=be(se(l,this.beta2),se(Jt(u),1-this.beta2)),f=Ke(m,o),h=Ke(d,n);c.assign(m),l.assign(d);let g=be(se(Ke(f,be(Rr(h),this.epsilon)),-this.learningRate),i);i.assign(g)}),this.accBeta1.assign(se(this.accBeta1,this.beta1)),this.accBeta2.assign(se(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&Ot(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),De(()=>{this.accBeta1.assign(ri(this.beta1,this.iterations_+1)),this.accBeta2.assign(ri(this.beta2,this.iterations_+1))});let t=e.length/2,o=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};var Ju=class extends kr{static get className(){return\"Adamax\"}constructor(e,t,o,n=null,s=0){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],De(()=>{this.iteration=ke(0).variable(),this.accBeta1=ke(t).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);De(()=>{let o=Te(1,this.accBeta1),n=Ke(-this.learningRate,be(se(this.iteration,this.decay),1));t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ht(i).variable(p)}),this.accumulatedWeightedInfNorm[a]==null&&(this.accumulatedWeightedInfNorm[a]={originalName:`${s}/v`,variable:Ht(i).variable(p)});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,m=be(se(c,this.beta1),se(u,1-this.beta1)),d=se(l,this.beta2),f=Zt(u),h=Ed(d,f);c.assign(m),l.assign(h);let g=be(se(Ke(n,o),Ke(m,be(h,this.epsilon))),i);i.assign(g)}),this.iteration.assign(be(this.iteration,1)),this.accBeta1.assign(se(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&Ot(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error(\"getWeights() is not implemented for Adamax yet.\")}async setWeights(e){throw new Error(\"setWeights() is not implemented for Adamax yet.\")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};var ii=class extends kr{static get className(){return\"SGD\"}constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=Array.isArray(e)?e[n].tensor:e[o];if(s==null)return;let a=T.registeredVariables[o];De(()=>{let i=be(se(this.c,s),a);a.assign(i)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Er(ke(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error(\"SGD optimizer does not have settable weights.\")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};var ep=class extends ii{static get className(){return\"Momentum\"}constructor(e,t,o=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=o,this.accumulations=[],this.m=ke(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${o}/momentum`,variable:De(()=>Ht(s).variable(!1))});let a=this.accumulations[n].variable,i=Array.isArray(e)?e[n].tensor:e[o];i!=null&&De(()=>{let p,u=be(se(this.m,a),i);this.useNesterov?p=be(se(this.c,be(i,se(u,this.m))),s):p=be(se(this.c,u),s),a.assign(u),s.assign(p)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Ot(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};var tp=class extends kr{static get className(){return\"RMSProp\"}constructor(e,t=.9,o=0,n=null,s=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=o,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,n==null&&(this.epsilon=T.backend.epsilon()),e==null)throw new Error(\"learningRate for RMSPropOptimizer must be defined.\")}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${o}/rms`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${o}/momentum`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${o}/mg`,variable:De(()=>Ht(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedMeanSquares[n].variable,u=this.accumulatedMoments[n].variable;De(()=>{let c=be(se(p,this.decay),se(Jt(i),1-this.decay));if(this.centered){let l=this.accumulatedMeanGrads[n].variable,m=be(se(l,this.decay),se(i,1-this.decay)),d=Ke(se(i,this.learningRate),Rr(Te(c,be(Jt(m),this.epsilon)))),f=be(se(u,this.momentum),d);p.assign(c),l.assign(m),u.assign(f);let h=Te(s,f);s.assign(h)}else{let l=be(se(p,this.decay),se(Jt(i),1-this.decay)),m=be(se(u,this.momentum),Ke(se(i,this.learningRate),Rr(be(l,this.epsilon))));p.assign(l),u.assign(m);let d=Te(s,m);s.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Ot(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Ot(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&Ot(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,o=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};var dj=[Yu,Qu,Zu,Ju,ep,tp,ii];function kN(){for(let r of dj)Lw(r)}var pi={};He(pi,{browserFiles:()=>TN,browserHTTPRequest:()=>EN,concatenateArrayBuffers:()=>tc,copyModel:()=>ok,decodeWeights:()=>rd,encodeWeights:()=>V0,fromMemory:()=>RN,fromMemorySync:()=>Gw,getLoadHandlers:()=>q0,getModelArtifactsForJSON:()=>rc,getModelArtifactsForJSONSync:()=>mw,getModelArtifactsInfoForJSON:()=>ga,getSaveHandlers:()=>K0,getWeightSpecs:()=>nd,http:()=>tf,isHTTPScheme:()=>ef,listModels:()=>tk,loadWeights:()=>_N,moveModel:()=>nk,registerLoadRouter:()=>H0,registerSaveRouter:()=>G0,removeModel:()=>rk,weightsLoaderFactory:()=>Ww,withSaveHandler:()=>DN,withSaveHandlerSync:()=>AN});var fj=\"model\",hj=\".json\",gj=\".weights.bin\";function NN(r){return new Promise(e=>setTimeout(e)).then(r)}var ui=class{constructor(e){if(!P().getBool(\"IS_BROWSER\"))throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");e.startsWith(ui.URL_SCHEME)&&(e=e.slice(ui.URL_SCHEME.length)),(e==null||e.length===0)&&(e=fj),this.modelJsonFileName=e+hj,this.weightDataFileName=e+gj}async save(e){if(typeof document==\"undefined\")throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");{let o=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],n=od(e,o),s=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:\"application/json\"})),a=this.modelJsonAnchor==null?document.createElement(\"a\"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=s,await NN(()=>a.dispatchEvent(new MouseEvent(\"click\"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement(\"a\"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await NN(()=>i.dispatchEvent(new MouseEvent(\"click\")))}return{modelArtifactsInfo:ga(e)}}}};ui.URL_SCHEME=\"downloads://\";var Bw=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let o=new FileReader;o.onload=n=>{let s=JSON.parse(n.target.result),a=s.modelTopology;if(a==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:a});return}let p=rc(s,u=>this.loadWeights(u));e(p)},o.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),o.readAsText(this.jsonFile)})}loadWeights(e){let t=[],o=[];for(let a of e)t.push(...a.weights),o.push(...a.paths);let n=this.checkManifestAndWeightFiles(e),s=o.map(a=>this.loadWeightsFile(a,n[a]));return Promise.all(s).then(a=>[t,tc(a)])}loadWeightsFile(e,t){return new Promise((o,n)=>{let s=new FileReader;s.onload=a=>{let i=a.target.result;o(i)},s.onerror=a=>n(`Failed to weights data from file of path '${e}'.`),s.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],o=this.weightsFiles.map(s=>lw(s.name)),n={};for(let s of e)s.paths.forEach(a=>{let i=lw(a);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),o.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[a]=this.weightsFiles[o.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},xj=r=>P().getBool(\"IS_BROWSER\")&&!Array.isArray(r)&&r.startsWith(ui.URL_SCHEME)?yj(r.slice(ui.URL_SCHEME.length)):null;ft.registerSaveRouter(xj);function yj(r=\"model\"){return new ui(r)}function TN(r){return new Bw(r)}var Jd=class{constructor(e){if(this.shards=[],this.previousShardIndex=0,e instanceof Array||(e=[e]),e=e.map(o=>Pt(o)?o.buffer:o),e.length===0)return;this.bufferUniformSize=e[0].byteLength;let t=0;for(let o=0;o=this.byteLength)return-1;if(this.bufferUniformSize!=null)return this.previousShardIndex=Math.floor(e/this.bufferUniformSize),this.previousShardIndex;function t(n){return e=n.end?1:0}if(t(this.shards[this.previousShardIndex])===0)return this.previousShardIndex;let o=bj(this.shards,t);return o===-1?-1:(this.previousShardIndex=o,this.previousShardIndex)}};function bj(r,e){let t=0,o=r.length;for(;t<=o;){let n=Math.floor((o-t)/2)+t,s=e(r[n]);if(s===0)return n;s<0?o=n:t=n+1}return-1}function zw(r,e,t,o){a(r),t=t==null?0:t,o=o==null?1:o,i(t,o);let n=0,s=p=>(p.then(u=>{let c=t+ ++n/r.length*(o-t);return e(c),u}),p);function a(p){$(p!=null&&Array.isArray(p)&&p.length>0,()=>\"promises must be a none empty array\")}function i(p,u){$(p>=0&&p<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${p}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=p,()=>`startFraction must be no more than endFraction, but got startFraction ${p} and endFraction ${u}`)}return Promise.all(r.map(s))}async function Vw(r,e){e==null&&(e={});let t=e.fetchFunc==null?P().platform.fetch:e.fetchFunc,o=r.map(l=>t(l,e.requestInit,{isBinary:!0})),n=0,s=.5,i=(e.onProgress==null?await Promise.all(o):await zw(o,e.onProgress,n,s)).map(l=>l.arrayBuffer()),p=.5,u=1;return e.onProgress==null?await Promise.all(i):await zw(i,e.onProgress,p,u)}async function _N(r,e=\"\",t,o){return Ww(a=>Vw(a,{requestInit:o}))(r,e,t)}function Ww(r){return async(e,t=\"\",o)=>{let n=e.map(()=>!1),s={},a=o!=null?o.map(()=>!1):[],i=[];if(e.forEach((d,f)=>{let h=0;d.weights.forEach(g=>{let x=\"quantization\"in g?g.quantization.dtype:g.dtype,b=Cl[x]*Ue(g.shape),w=()=>{n[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};o!=null?o.forEach((S,k)=>{S===g.name&&(w(),a[k]=!0)}):w(),i.push(g.name),h+=b})}),!a.every(d=>d)){let d=o.filter((f,h)=>!a[h]);throw new Error(`Could not find weights in manifest with names: ${d.join(\", \")}. \nManifest JSON has weights with names: ${i.join(\", \")}.`)}let p=n.reduce((d,f,h)=>(f&&d.push(h),d),[]),u=[];p.forEach(d=>{e[d].paths.forEach(f=>{let h=t+(t.endsWith(\"/\")?\"\":\"/\")+f;u.push(h)})});let c=await r(u),l={},m=0;return p.forEach(d=>{let f=e[d].paths.length,h=new Jd(c.slice(m,m+f));s[d].forEach(x=>{let b=h.slice(x.groupOffset,x.groupOffset+x.sizeBytes),w=rd(b,[x.manifestEntry]);for(let S in w)l[S]=w[S]}),m+=f}),l}}var Cj=\"application/octet-stream\",wj=\"application/json\",El=class{constructor(e,t){if(this.DEFAULT_METHOD=\"POST\",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc==\"function\",()=>\"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\"),this.fetch=t.fetchFunc):this.fetch=P().platform.fetch,$(e!=null&&e.length>0,()=>\"URL path for http must not be null, undefined or empty.\"),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let o=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],n=od(e,o);t.body.append(\"model.json\",new Blob([JSON.stringify(n)],{type:wj}),\"model.json\"),e.weightData!=null&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:Cj}),\"model.weights.bin\");let s=await this.fetch(this.path,t);if(s.ok)return{modelArtifactsInfo:ga(e),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(s){let a=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(\".pb\")?a+=\" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.\":a+=\" Please make sure the server is serving valid JSON for this request.\",new Error(a)}let o=t.modelTopology,n=t.weightsManifest;if(o==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return rc(t,s=>this.loadWeights(s))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[o,n]=Sj(t),s=this.weightPathPrefix||o,a=nd(e),i=[],p=[];for(let c of e)for(let l of c.paths)this.weightUrlConverter!=null?p.push(this.weightUrlConverter(l)):i.push(s+l+n);this.weightUrlConverter&&i.push(...await Promise.all(p));let u=await Vw(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[a,tc(u)]}};El.URL_SCHEME_REGEX=/^https?:\\/\\//;function Sj(r){let e=r.lastIndexOf(\"/\"),t=r.lastIndexOf(\"?\"),o=r.substring(0,e),n=t>e?r.substring(t):\"\";return[o+\"/\",n]}function ef(r){return r.match(El.URL_SCHEME_REGEX)!=null}var $N=(r,e)=>{if(typeof fetch==\"undefined\"&&(e==null||e.fetchFunc==null))return null;{let t=!0;if(Array.isArray(r)?t=r.every(o=>ef(o)):t=ef(r),t)return tf(r,e)}return null};ft.registerSaveRouter($N);ft.registerLoadRouter($N);function tf(r,e){return new El(r,e)}function EN(r,e){return tf(r,e)}var Rl=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},rf=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},Uw=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function RN(r,e,t,o){let n=arguments;return new Uw(Gw(...n))}function Gw(r,e,t,o){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new Rl(r):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new Rl({modelTopology:r})):(console.warn(\"Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release.\"),new Rl({modelTopology:r,weightSpecs:e,weightData:t,trainingConfig:o}))}function DN(r){return new rf(r)}function AN(r){return new rf(r)}var PN={};He(PN,{confusionMatrix:()=>FN});function Ij(r,e,t){let o=v(r,\"labels\",\"confusionMatrix\"),n=v(e,\"predictions\",\"confusionMatrix\");$(t==null||t>0&&Number.isInteger(t),()=>`If provided, numClasses must be a positive integer, but got ${t}`),$(o.rank===1,()=>`Expected the rank of labels to be 1, but got ${o.rank}`),$(n.rank===1,()=>`Expected the rank of predictions to be 1, but got ${n.rank}`),$(o.shape[0]===n.shape[0],()=>`Mismatch in the number of examples: ${o.shape[0]} vs. ${n.shape[0]}. Labels and predictions should have the same number of elements.`),$(t>0&&Number.isInteger(t),()=>`numClasses is required to be a positive integer, but got ${t}`);let s=Tl(Ye(o,\"int32\"),t),a=Tl(Ye(n,\"int32\"),t),i=dc(s),p=Qe(i,a);return Ye(p,\"int32\")}var FN=N({confusionMatrix_:Ij});var MN={};He(MN,{fromPixels:()=>Ej,fromPixelsAsync:()=>_j,toPixels:()=>$j});var rp;function ON(r,e=3){if(e>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");if(r==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let t=!1,o=!1,n=!1,s=!1,a=!1,i=!1;if(r.data instanceof Uint8Array)t=!0;else if(typeof ImageData!=\"undefined\"&&r instanceof ImageData)o=!0;else if(typeof HTMLVideoElement!=\"undefined\"&&r instanceof HTMLVideoElement)n=!0;else if(typeof HTMLImageElement!=\"undefined\"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)a=!0;else if(typeof ImageBitmap!=\"undefined\"&&r instanceof ImageBitmap)i=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(fl($u,T.backendName)!=null){let f={pixels:r},h={numChannels:e};return T.runKernel($u,f,h)}let[u,c]=n?[r.videoWidth,r.videoHeight]:[r.width,r.height],l;if(a)l=r.getContext(\"2d\").getImageData(0,0,u,c).data;else if(o||t)l=r.data;else if(s||n||i){if(rp==null)if(typeof document==\"undefined\")if(typeof OffscreenCanvas!=\"undefined\"&&typeof OffscreenCanvasRenderingContext2D!=\"undefined\")rp=new OffscreenCanvas(1,1).getContext(\"2d\");else throw new Error(\"Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.\");else rp=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:!0});rp.canvas.width=u,rp.canvas.height=c,rp.drawImage(r,0,0,u,c),l=rp.getImageData(0,0,u,c).data}let m;if(e===4)m=new Int32Array(l);else{let f=u*c;m=new Int32Array(f*e);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(t.dtype!==\"float32\"&&t.dtype!==\"int32\")throw new Error(`Unsupported type for toPixels: ${t.dtype}. Please use float32 or int32 tensors.`);let a=await t.data(),i=t.dtype===\"float32\"?255:1,p=new Uint8ClampedArray(n*o*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${d}.`)}else if(t.dtype===\"int32\"&&(d<0||d>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${d}.`);s===1?(c[0]=d*i,c[1]=d*i,c[2]=d*i):c[m]=d*i}let l=u*4;p[l+0]=Math.round(c[0]),p[l+1]=Math.round(c[1]),p[l+2]=Math.round(c[2]),p[l+3]=Math.round(c[3])}if(e!=null){e.width=n,e.height=o;let u=e.getContext(\"2d\"),c=new ImageData(p,n,o);u.putImageData(c,0,0)}return t!==r&&t.dispose(),p}var Ej=N({fromPixels_:ON});var of={};He(of,{prepareAndValidate:()=>LN});function LN(r,e){let t=r.shape.length,o=e.shape.length;if(t<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${t}.`);if(o<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${o}.`);if(e.dtype!==\"int32\")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.shape[o-1]>t)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[o-1]} vs. ${t}`);if(Ue(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let n=e.shape,s=n[n.length-1],a=1;for(let l=0;ll/u),1].slice(0,s);return[p,a,u,c]}var ct={};He(ct,{assertParamsValid:()=>Dj,computeFlatOffset:()=>Mj,computeOutShape:()=>Fj,getNormalizedAxes:()=>Pj,isSliceContinous:()=>Oj,maskToAxes:()=>Aj,parseSliceParams:()=>Lj,sliceInfo:()=>Bj,startForAxis:()=>KN,startIndicesWithElidedDims:()=>UN,stopForAxis:()=>qN,stopIndicesWithElidedDims:()=>GN,stridesForAxis:()=>HN,stridesWithElidedDims:()=>zN});var Hw=-2,Rj=-1;function Dj(r,e,t){let o=r.shape.length;$(o===e.length,()=>`Error in slice${o}D: Length of begin ${e} must match the rank of the array (${o}).`),$(o===t.length,()=>`Error in slice${o}D: Length of size ${t} must match the rank of the array (${o}).`);for(let n=0;n`Error in slice${o}D: begin[${n}] + size[${n}] (${e[n]+t[n]}) would overflow input.shape[${n}] (${r.shape[n]})`)}function Aj(r){let e=[],t=0;for(;r>0;)r&1&&e.push(t),r/=2,t++;return e}function Fj(r,e,t){let o=[];for(let n=0;n0){let d=e[0],f=t+1;c=UN(a,d,f,o,r),l=GN(i,d,f,n,r),m=zN(s,d,f,r)}else for(let d=0;d-1)s[i]=0;else{let p=VN(e,t,i),u=o[p];r&1<-1)s[i]=Number.MAX_SAFE_INTEGER;else{let p=VN(e,t,i),u=o[p];r&1<0?a=Number.MIN_SAFE_INTEGER:a=Number.MAX_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),a=zp(0,a,p-1),a}function qN(r,e,t,o,n,s){let a=e[n],i=t[n]||1;(r&1<0?a=Number.MAX_SAFE_INTEGER:a=Number.MIN_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),i>0?a=zp(0,a,p):a=zp(-1,a,p-1),a}function Oj(r,e,t){let o=t.length;for(let n=0;n1){o=n;break}for(let n=o+1;n0||t[n]!==r[n])return!1;return!0}function Mj(r,e){let t=r.length>0?r[r.length-1]:1;for(let o=0;o{$(a!==-1,()=>\"slice() does not support negative begin indexing.\")});let s;return t==null?s=new Array(n).fill(-1):typeof t==\"number\"?s=[t,...new Array(n-1).fill(-1)]:t.lengtha>=0?a:($(a===-1,()=>`Negative size values should be exactly -1 but got ${a} for the slice() size at index ${i}.`),r.shape[i]-o[i])),[o,s]}function Bj(r,e,t,o,n,s,a,i,p){let u;if(o==null?(u=new Array(e.length),u.fill(1)):u=o,a!=null&&a&a-1)throw new Error(\"Multiple ellipses in slice is not allowed.\");let c=!1,l={dims:u.length,numAddAxisAfterEllipsis:0,begin:e.slice(),end:t.slice(),strides:u.slice(),beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};for(let w=0;w0?0:-1,m.strides[w]>0?k:k-1];if(S&&m.strides[w]<=0)throw Error(\"only stride 1 allowed on non-range indexing.\");h=h&&m.strides[w]===1;let R=!!(m.beginMask&1<=k)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=BN(m.begin[w],0,m.strides[w],k,_,E),m.end[w]=BN(m.end[w],1,m.strides[w],k,_,E);let O=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===k;d=d&&O,f=f&&(w===0&&m.strides[w]===1||O)}else d=d&&m.strides[w]===1&&R,f=f&&(w===0&&m.strides[w]===1||R);let D,F=!1;if(m.beginValid&&m.endValid?(D=m.end[w]-m.begin[w],F=!0):S?(D=1,F=!0):R&&k>=0&&(m.strides[w]<0?D=-k:D=k,F=!0),F){let O;D===0||D<0!=m.strides[w]<0?O=0:O=Math.trunc(D/m.strides[w])+(D%m.strides[w]!==0?1:0),g.push(O)}else g.push(-1)}for(let w=0;w=0?x.push(g[S]):S===Hw&&x.push(1)}return{finalShapeSparse:x.filter((w,S)=>m.finalShapeGatherIndices[S]!==Hw),finalShape:x,isIdentity:d,sliceDim0:f,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function zj(r,e){e.beginMask=0,e.endMask=0,e.shrinkAxisMask=0;let t=0;e.beginValid=r.begin!=null,e.endValid=r.end!=null,e.begin=new Array(e.dims),e.end=new Array(e.dims),e.strides=new Array(e.dims),e.finalShapeGatherIndices=[],e.finalShapeGatherIndicesSparse=[],e.inputShapeGatherIndicesSparse=new Array(e.dims);for(let o=0;o0?s[e]:s[e+1&1];{let a=r<0?o+r:r;return as[1]?s[1]:a}}var Vj=\"4.5.0\";var Dl=class{static sgd(e){return new ii(e)}static momentum(e,t,o=!1){return new ep(e,t,o)}static rmsprop(e,t=.9,o=0,n=null,s=!1){return new tp(e,t,o,n,s)}static adam(e=.001,t=.9,o=.999,n=null){return new Zu(e,t,o,n)}static adadelta(e=.001,t=.95,o=null){return new Yu(e,t,o)}static adamax(e=.002,t=.9,o=.999,n=null,s=0){return new Ju(e,t,o,n,s)}static adagrad(e,t=.1){return new Qu(e,t)}};var CUe=Dl;var Wj=(()=>typeof requestAnimationFrame!=\"undefined\"?requestAnimationFrame:typeof setImmediate!=\"undefined\"?setImmediate:r=>r())();function Kw(){return new Promise(r=>Wj(()=>r()))}var C={};He(C,{ERF_A1:()=>sX,ERF_A2:()=>aX,ERF_A3:()=>iX,ERF_A4:()=>uX,ERF_A5:()=>pX,ERF_P:()=>nX,PARALLELIZE_THRESHOLD:()=>nf,RowPartitionType:()=>Ta,SELU_SCALE:()=>oX,SELU_SCALEALPHA:()=>rX,applyActivation:()=>ju,assertAndGetBroadcastShape:()=>rt,assertAxesAreInnerMostDims:()=>yH,assertParamsConsistent:()=>Uj,assignToTypedArray:()=>hX,axesAreInnerMostDims:()=>Iw,calculateShapes:()=>v1,checkEinsumDimSizes:()=>wX,checkPadOnDimRoundingMode:()=>Lt,combineLocations:()=>e2,combineRaggedTensorToTensorShapes:()=>Hj,complexWithEvenIndex:()=>mX,complexWithOddIndex:()=>dX,computeConv2DInfo:()=>Mu,computeConv3DInfo:()=>bk,computeDefaultPad:()=>Sw,computeDilation2DInfo:()=>g4,computeOptimalWindowSize:()=>Xj,computeOutAndReduceShapes:()=>xH,computeOutShape:()=>Gj,computePool2DInfo:()=>ww,computePool3DInfo:()=>x4,convertConv2DDataFormat:()=>Ck,decodeEinsumEquation:()=>bX,eitherStridesOrDilationsAreOne:()=>gr,expandShapeToKeepDim:()=>ti,exponent:()=>xX,exponents:()=>gX,fromStringArrayToUint8:()=>WX,fromUint8ToStringArray:()=>VX,getAxesPermutation:()=>bH,getBroadcastDims:()=>jk,getComplexWithIndex:()=>fX,getEinsumComputePath:()=>SX,getEinsumPermutation:()=>CX,getFusedBiasGradient:()=>qu,getFusedDyActivation:()=>Ku,getImageCenter:()=>Yj,getInnerMostAxes:()=>wH,getPermuted:()=>Zj,getRaggedRank:()=>qj,getReductionAxes:()=>fd,getReshaped:()=>Qj,getReshapedPermuted:()=>Jj,getRowPartitionTypesHelper:()=>Kj,getSliceBeginCoords:()=>eX,getSliceSize:()=>tX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>NX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>TX,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>_X,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>RX,getSparseReshapeInputOutputMismatchErrorMessage:()=>AX,getSparseReshapeInputOutputMultipleErrorMessage:()=>DX,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>$X,getSparseReshapeNegativeOutputDimErrorMessage:()=>EX,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>MX,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>FX,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>PX,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>OX,getUndoAxesPermutation:()=>CH,isIdentityPermutation:()=>IX,log:()=>mG,mergeRealAndImagArrays:()=>cX,prepareAndValidate:()=>LN,prepareSplitSize:()=>kX,segment_util:()=>jw,shouldFuse:()=>Xu,slice_util:()=>ct,splitRealAndImagArrays:()=>lX,stridesOrDilationsArePositive:()=>ba,tupleValuesAreOne:()=>Ou,upcastType:()=>dt,validateDefaultValueShape:()=>jj,validateInput:()=>mc,validateUpdateShape:()=>Fw,warn:()=>ha});function Uj(r,e){let t=r[0].length;r.forEach((n,s)=>{$(n.length===t,()=>`Error in concat${t}D: rank of tensors[${s}] must be the same as the rank of the rest (${t})`)}),$(e>=0&&e`Error in concat${t}D: axis must be between 0 and ${t-1}.`);let o=r[0];r.forEach((n,s)=>{for(let a=0;a`Error in concat${t}D: Shape of tensors[${s}] (${n}) does not match the shape of the rest (${o}) along the non-concatenated axis ${s}.`)})}function Gj(r,e){let t=r[0].slice();for(let o=1;o=0)if(i>=0){if(i!==s)throw new Error(`rt input.shape and shape=${e} are incompatible: rt input.shape[${n+r}] = ${s} but shape[${n+r}] = ${i}`)}else o[a]=s}return o}function Kj(r){let e={FIRST_DIM_SIZE:Ta.FIRST_DIM_SIZE,VALUE_ROWIDS:Ta.VALUE_ROWIDS,ROW_LENGTHS:Ta.ROW_LENGTHS,ROW_SPLITS:Ta.ROW_SPLITS,ROW_LIMITS:Ta.ROW_LIMITS,ROW_STARTS:Ta.ROW_STARTS},t=[];for(let o of r)if(o in e)t.push(e[o]);else break;return t}function qj(r){return r.length===0?0:r[0]===Ta.FIRST_DIM_SIZE?r.length-1:r.length}function jj(r,e){if(r==null||e==null)return;let t=r.length,o=e.length;if(t>=o)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${e}, are incompatible: defaultValue.rank = ${t} must be less than ragged tensor input flatValues.rank = ${o})`);for(let n=0;n=0&&a>=0&&s!==1&&s!==a)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${e} are incompatible: defaultValue.shape[${n-r.length}] = ${s} but ragged tensor input.flatValues.shape[${n-r.length}] = ${a}`)}}var nf=30;function Xj(r){return r<=nf?r:Wp(r,Math.floor(Math.sqrt(r)))}function Yj(r,e,t){let o=t*(typeof r==\"number\"?r:r[0]),n=e*(typeof r==\"number\"?r:r[1]);return[o,n]}function Qj(r,e,t,o=!0){let n=[];if(o)n=n.concat(e.slice(0)),n.push(r[0]/t),n=n.concat(r.slice(1));else{n=n.concat(r[0]);let s=e.length;for(let a=0;a=e*2+1||a%2===1?s.push(a):n.push(a);o.push(...n),o.push(0),o.push(...s)}return o}function Jj(r,e,t,o=!0){let n=[];o?n.push(r[0]/t):n.push(r[0]*t);for(let s=1;s\",yX=/->/g,jN=\",\",XN=\"...\";function bX(r,e){r=r.replace(/\\s/g,\"\");let t=(r.length-r.replace(yX,\"\").length)/qw.length;if(t<1)throw new Error(\"Equations without an arrow are not supported.\");if(t>1)throw new Error(`Equation must contain exactly one arrow (\"${qw}\").`);let[o,n]=r.split(qw);$(o.indexOf(XN)===-1,()=>`The ellipsis notation (\"${XN}\") is not supported yet.`);let s=o.split(jN),a=s.length;if(e!==a)throw new Error(`Expected ${a} input tensors, received ${e}`);if(a>2)throw new Error(\"Support for more than 2 input tensors is not implemented yet.\");let i=[];for(let m=0;mf.indexOf(d)!==-1))throw new Error(`Output subscripts contain the label ${d} not present in the input subscripts.`);i.indexOf(d)===-1&&i.push(d)}for(let m=0;mn!==-1),{permutationIndices:t,expandDims:o}}function wX(r,e,t){let o=new Array(r);for(let n=0;n`Expected dimension ${o[e[n][a]]} at axis ${a} of input shaped ${JSON.stringify(s)}, but got dimension ${s[a]}`)}}function SX(r,e){let t=r,o=[],n=0;r.length===0&&t.push(-1),n=r.length+1;for(let a=0;ae===t)}function vX(r,e){let t=[];for(let o=0;o\"Number of splits must evenly divide the axis.\"),o=new Array(e).fill(r.shape[t]/e);else{let n=e.reduce((a,i)=>(i===-1&&(a+=1),a),0);$(n<=1,()=>\"There should be only one negative value in split array.\");let s=e.indexOf(-1);if(s!==-1){let a=e.reduce((i,p)=>p>0?i+p:i);e[s]=r.shape[t]-a}$(r.shape[t]===e.reduce((a,i)=>a+i),()=>\"The sum of sizes must match the size of the axis dimension.\"),o=e}return o}function NX(r){return`Received SparseTensor with denseShape[0] = 0 but\n indices.shape[0] = ${r}`}function TX(r,e){return`indices(${r}, 0) is invalid: ${e} < 0`}function _X(r,e,t){return`indices(${r}, 0) is invalid: ${e} >= ${t}`}function $X(r,e){return`only one output dimension may be -1, not both ${r} and ${e}`}function EX(r,e){return`size ${r} must be non-negative, not ${e}`}function RX(){return\"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero\"}function DX(r,e){let t=Ue(r),o=Ue(e);return`Input to reshape is a SparseTensor with ${t}\n dense values, but the requested shape requires a multiple of ${o}. inputShape=${r} outputShape= ${e}`}function AX(r,e){let t=Ue(r),o=Ue(e);return`Input to reshape is a tensor with ${t} dense values, but the requested shape has ${o}. inputShape=${r} outputShape=${e}`}function FX(){return\"segment ids must be >= 0\"}function PX(){return\"segment ids are not increasing\"}function OX(r,e){return`Segment id ${r} out of range [0, ${e}), possibly because segmentIds input is not sorted.`}function MX(r,e,t){return`Bad: indices[${r}] == ${e} out of range [0, ${t})`}var jw={};He(jw,{collectGatherOpShapeInfo:()=>zX,computeOutShape:()=>BX,segOpComputeOptimalWindowSize:()=>LX});function LX(r,e){let t=!1,o;for(r<=nf?(o=r,t=!0):o=Wp(r,Math.floor(Math.sqrt(r)));!t;)o>e||o===r?t=!0:o=Wp(r,o+1);return o}function BX(r,e,t){let o=[],n=r.length;for(let s=0;sn))throw new Error(`Expect batchDims in the range of [-${n}, ${n}], but got ${o}`);if(o<0&&(o+=n),o>s)throw new Error(`batchDims (${o}) must be less than rank(x) (\n ${s}).`);if(tJp(e))}catch(e){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${e}`)}}function WX(r){return r.map(e=>Yi(e))}var Wt={};He(Wt,{nonMaxSuppressionV3Impl:()=>Yd,nonMaxSuppressionV4Impl:()=>Qd,nonMaxSuppressionV5Impl:()=>Zd,whereImpl:()=>Kd});kN();var UX=P();UX.registerFlag(\"KEEP_INTERMEDIATE_TENSORS\",()=>!1,r=>{r&&console.warn(\"Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.\")});var co;(function(r){r[r.DT_INVALID=0]=\"DT_INVALID\",r[r.DT_FLOAT=1]=\"DT_FLOAT\",r[r.DT_DOUBLE=2]=\"DT_DOUBLE\",r[r.DT_INT32=3]=\"DT_INT32\",r[r.DT_UINT8=4]=\"DT_UINT8\",r[r.DT_INT16=5]=\"DT_INT16\",r[r.DT_INT8=6]=\"DT_INT8\",r[r.DT_STRING=7]=\"DT_STRING\",r[r.DT_COMPLEX64=8]=\"DT_COMPLEX64\",r[r.DT_INT64=9]=\"DT_INT64\",r[r.DT_BOOL=10]=\"DT_BOOL\",r[r.DT_QINT8=11]=\"DT_QINT8\",r[r.DT_QUINT8=12]=\"DT_QUINT8\",r[r.DT_QINT32=13]=\"DT_QINT32\",r[r.DT_BFLOAT16=14]=\"DT_BFLOAT16\",r[r.DT_QINT16=15]=\"DT_QINT16\",r[r.DT_QUINT16=16]=\"DT_QUINT16\",r[r.DT_UINT16=17]=\"DT_UINT16\",r[r.DT_COMPLEX128=18]=\"DT_COMPLEX128\",r[r.DT_HALF=19]=\"DT_HALF\",r[r.DT_RESOURCE=20]=\"DT_RESOURCE\",r[r.DT_VARIANT=21]=\"DT_VARIANT\",r[r.DT_UINT32=22]=\"DT_UINT32\",r[r.DT_UINT64=23]=\"DT_UINT64\",r[r.DT_FLOAT_REF=101]=\"DT_FLOAT_REF\",r[r.DT_DOUBLE_REF=102]=\"DT_DOUBLE_REF\",r[r.DT_INT32_REF=103]=\"DT_INT32_REF\",r[r.DT_UINT8_REF=104]=\"DT_UINT8_REF\",r[r.DT_INT16_REF=105]=\"DT_INT16_REF\",r[r.DT_INT8_REF=106]=\"DT_INT8_REF\",r[r.DT_STRING_REF=107]=\"DT_STRING_REF\",r[r.DT_COMPLEX64_REF=108]=\"DT_COMPLEX64_REF\",r[r.DT_INT64_REF=109]=\"DT_INT64_REF\",r[r.DT_BOOL_REF=110]=\"DT_BOOL_REF\",r[r.DT_QINT8_REF=111]=\"DT_QINT8_REF\",r[r.DT_QUINT8_REF=112]=\"DT_QUINT8_REF\",r[r.DT_QINT32_REF=113]=\"DT_QINT32_REF\",r[r.DT_BFLOAT16_REF=114]=\"DT_BFLOAT16_REF\",r[r.DT_QINT16_REF=115]=\"DT_QINT16_REF\",r[r.DT_QUINT16_REF=116]=\"DT_QUINT16_REF\",r[r.DT_UINT16_REF=117]=\"DT_UINT16_REF\",r[r.DT_COMPLEX128_REF=118]=\"DT_COMPLEX128_REF\",r[r.DT_HALF_REF=119]=\"DT_HALF_REF\",r[r.DT_RESOURCE_REF=120]=\"DT_RESOURCE_REF\",r[r.DT_VARIANT_REF=121]=\"DT_VARIANT_REF\",r[r.DT_UINT32_REF=122]=\"DT_UINT32_REF\",r[r.DT_UINT64_REF=123]=\"DT_UINT64_REF\"})(co||(co={}));var YN;(function(r){let e;(function(t){t[t.LEGACY=0]=\"LEGACY\",t[t.V1=1]=\"V1\",t[t.V2=2]=\"V2\"})(e=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(YN||(YN={}));var Yw={};function HX(r,e){let t={tfOpName:r,category:\"custom\",inputs:[],attrs:[],customExecutor:e};Yw[r]=t}function sf(r){return Yw[r]}function KX(r){delete Yw[r]}function I(r,e,t,o,n){let s=e.inputParams[r];if(s&&s.inputIndexStart!==void 0){let i=s.inputIndexStart,p=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?i+1:s.inputIndexEnd,u=i<0?e.inputNames.length+i:i;if(s.type===\"tensor\")return Bt(e.inputNames[u],t,o,n);if(s.type===\"tensors\"){let m=e.inputs.slice(i,p);return e.inputNames.slice(i,p).filter((f,h)=>{var g;return((g=m[h])===null||g===void 0?void 0:g.op)!==\"NoOp\"}).map(f=>Bt(f,t,o,n))}let c=Bt(e.inputNames[u],t,o,n),l=c.dataSync();return s.type===\"number\"?l[0]:y.toNestedArray(c.shape,l)}let a=e.attrParams[r];return a&&a.value}function Bt(r,e,t,o){let[n,s]=Nr(r,t);if(o!=null){let i=o.getHashTableHandleByName(n);if(i!=null)return i}let a=t.currentContextIds.find(i=>!!e[af(n,i)]);return a!==void 0?e[af(n,a)][s]:void 0}function Qw(r,e,t){return e[af(r,t.currentContextId)]}function Ds(r,e){let[t,o,n]=Nr(r,e);return[af(t,e&&e.currentContextId),o,n]}function af(r,e){return e?`${r}-${e}`:r}function Nr(r,e){if(r===\"\")return[\"\",0,void 0];let t=e!=null&&e.parseNodeNameCache!=null;if(t){let s=e.parseNodeNameCache.get(r);if(s!=null)return s}let o=r.split(\":\"),n;if(o.length===1)n=[r,0,void 0];else{let s=o[0],a=o.length===3?o[1]:void 0,i=Number(o[o.length-1]);n=[s,i,a]}return t&&e.parseNodeNameCache.set(r,n),n}function Al(r,e,t){let o=I(\"pad\",r,e,t);if(o===\"explicit\"){o=I(\"explicitPaddings\",r,e,t);let n=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)n[s][0]=o[s*2],n[s][1]=o[s*2+1];return n}return o}function As(r){return r.kept?r:Vr(r)}var Zw={};He(Zw,{json:()=>qX});var qX=[{tfOpName:\"Add\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddV2\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AddN\",category:\"arithmetic\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"BiasAdd\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"Sub\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"RealDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Div\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"DivNoNan\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorDiv\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mul\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Maximum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Minimum\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Pow\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SquaredDifference\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Mod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"FloorMod\",category:\"arithmetic\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var Jw={};He(Jw,{json:()=>jX});var jX=[{tfOpName:\"Abs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atan2\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Ceil\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ClipByValue\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"clipValueMin\",type:\"number\"},{start:2,name:\"clipValueMax\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Complex\",category:\"basic_math\",inputs:[{start:0,name:\"real\",type:\"tensor\"},{start:1,name:\"imag\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ComplexAbs\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cos\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Elu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Exp\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Floor\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Imag\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Neg\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Real\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"outputType\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Prelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"alpha\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Relu6\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Selu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sigmoid\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sin\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Rsqrt\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Square\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Tanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Sign\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Round\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Expm1\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Log1p\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Reciprocal\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Softplus\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Asinh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Acosh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Atanh\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Erf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LeakyRelu\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsNan\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsFinite\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"IsInf\",category:\"basic_math\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var eS={};He(eS,{json:()=>XX});var XX=[{tfOpName:\"EmptyTensorList\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"maxNumElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"LoopCond\",category:\"control\",inputs:[{start:0,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Switch\",category:\"control\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"pred\",type:\"tensor\"}]},{tfOpName:\"Merge\",category:\"control\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}]},{tfOpName:\"Enter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"frame_name\",name:\"frameName\",type:\"string\"},{tfName:\"is_constant\",name:\"isConstant\",type:\"bool\"}]},{tfOpName:\"Exit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NextIteration\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayV3\",category:\"control\",inputs:[{start:0,name:\"size\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"dynamic_size\",name:\"dynamicSize\",type:\"bool\"},{tfName:\"clear_after_read\",name:\"clearAfterRead\",type:\"bool\"},{tfName:\"identical_element_shapes\",name:\"identicalElementShapes\",type:\"bool\"},{tfName:\"tensor_array_name\",name:\"name\",type:\"string\"}]},{tfOpName:\"TensorArrayWriteV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayReadV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"TensorArrayGatherV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"}]},{tfOpName:\"TensorArrayScatterV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"tensor\",type:\"tensor\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArrayConcatV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"element_shape_except0\",name:\"elementShapeExcept0\",type:\"shape\",notSupported:!0}]},{tfOpName:\"TensorArraySplitV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"},{start:2,name:\"lengths\",type:\"number[]\"},{start:3,name:\"flowIn\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TensorArraySizeV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"},{start:1,name:\"flowIn\",type:\"number\"}]},{tfOpName:\"TensorArrayCloseV3\",category:\"control\",inputs:[{start:0,name:\"tensorArrayId\",type:\"tensor\"}]},{tfOpName:\"StatelessIf\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"If\",category:\"control\",inputs:[{start:0,name:\"cond\",type:\"tensor\"},{start:1,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"then_branch\",name:\"thenBranch\",type:\"func\"},{tfName:\"else_branch\",name:\"elseBranch\",type:\"func\"}]},{tfOpName:\"StatelessWhile\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"While\",category:\"control\",inputs:[{start:0,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"cond\",name:\"cond\",type:\"func\"},{tfName:\"body\",name:\"body\",type:\"func\"}]},{tfOpName:\"TensorListScatter\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListScatterV2\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"},{start:3,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGather\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"indices\",type:\"number[]\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListGetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListSetItem\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"index\",type:\"number\"},{start:2,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListReserve\",category:\"control\",inputs:[{start:0,name:\"elementShape\",type:\"shape\"},{start:1,name:\"numElements\",type:\"number\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListFromTensor\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListStack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"},{tfName:\"num_elements\",name:\"numElements\",type:\"dtype\"}]},{tfOpName:\"TensorListSplit\",category:\"control\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"},{start:2,name:\"lengths\",type:\"number[]\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcat\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListConcatV2\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}],attrs:[{tfName:\"element_shape\",name:\"elementShape\",type:\"shape\"},{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPopBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"elementShape\",type:\"shape\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListPushBack\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"element_dtype\",name:\"elementDType\",type:\"dtype\"}]},{tfOpName:\"TensorListLength\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"}]},{tfOpName:\"TensorListResize\",category:\"control\",inputs:[{start:0,name:\"tensorListId\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"}]}];var tS={};He(tS,{json:()=>YX});var YX=[{tfOpName:\"AvgPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[],notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPoolWithArgmax\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"include_batch_in_index\",name:\"includeBatchInIndex\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"AvgPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MaxPool3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"ksize\",name:\"kernelSize\",type:\"number[]\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Conv1D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"stride\",name:\"stride\",type:\"number\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NWC\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"dilation\",name:\"dilation\",type:\"number\",defaultValue:1}]},{tfOpName:\"Conv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"useCudnnOnGpu\",name:\"useCudnnOnGpu\",type:\"bool\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"_FusedConv2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"use_cudnn_on_gpu\",name:\"useCudnnOnGpu\",type:\"bool\",defaultValue:!0},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2}]},{tfOpName:\"Conv2DBackpropInput\",category:\"convolution\",inputs:[{start:2,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:0,name:\"outputShape\",type:\"number[]\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",notSupported:!0}]},{tfOpName:\"DepthwiseConv2d\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"DepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"FusedDepthwiseConv2dNative\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\",defaultValue:[1,1,1,1]},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"explicit_paddings\",name:\"explicitPaddings\",type:\"number[]\",defaultValue:[]}]},{tfOpName:\"Conv3D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",defaultValue:\"NHWC\"},{tfName:\"dilations\",name:\"dilations\",type:\"number[]\"}]},{tfOpName:\"Dilation2D\",category:\"convolution\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"filter\",type:\"tensor\"}],attrs:[{tfName:\"strides\",name:\"strides\",type:\"number[]\"},{tfName:\"rates\",name:\"dilations\",type:\"number[]\"},{tfName:\"padding\",name:\"pad\",type:\"string\"}]}];var rS={};He(rS,{json:()=>QX});var QX=[{tfOpName:\"Fill\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"},{start:1,name:\"value\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"LinSpace\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"num\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"OneHot\",category:\"creation\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"depth\",type:\"number\"},{start:2,name:\"onValue\",type:\"number\",defaultValue:1},{start:3,name:\"offValue\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",notSupported:!0},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Ones\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"OnesLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"RandomStandardNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniform\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\",defaultValue:0},{tfName:\"maxval\",name:\"maxval\",type:\"number\",defaultValue:1},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"RandomUniformInt\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"minval\",name:\"minval\",type:\"number\"},{tfName:\"maxval\",name:\"maxval\",type:\"number\"},{tfName:\"seed\",name:\"seed\",type:\"number\",defaultValue:0},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Range\",category:\"creation\",inputs:[{start:0,name:\"start\",type:\"number\"},{start:1,name:\"stop\",type:\"number\"},{start:2,name:\"step\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"Tidx\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"TruncatedNormal\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"means\",name:\"mean\",type:\"number\",defaultValue:0},{tfName:\"stddev\",name:\"stdDev\",type:\"number\",defaultValue:1},{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\",defaultValue:0,notSupported:!0},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"},{tfName:\"T\",name:\"T\",type:\"number\",notSupported:!0}]},{tfOpName:\"Zeros\",category:\"creation\",inputs:[{start:0,name:\"shape\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ZerosLike\",category:\"creation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Multinomial\",category:\"creation\",inputs:[{start:0,name:\"logits\",type:\"tensor\"},{start:1,name:\"numSamples\",type:\"number\"}],attrs:[{tfName:\"seed\",name:\"seed\",type:\"number\"},{tfName:\"seed2\",name:\"seed2\",type:\"number\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\"},{tfName:\"output_dtype\",name:\"output_dtype\",type:\"dtype\"}]}];var oS={};He(oS,{json:()=>ZX});var ZX=[{tfOpName:\"NonMaxSuppressionV2\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV3\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}]},{tfOpName:\"NonMaxSuppressionV4\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0},{tfName:\"T_threshold\",name:\"threshold\",type:\"dtype\",notSupported:!0},{tfName:\"pad_to_max_output_size\",name:\"padToMaxOutputSize\",type:\"bool\"}]},{tfOpName:\"NonMaxSuppressionV5\",category:\"dynamic\",inputs:[{start:0,name:\"boxes\",type:\"tensor\"},{start:1,name:\"scores\",type:\"tensor\"},{start:2,name:\"maxOutputSize\",type:\"number\"},{start:3,name:\"iouThreshold\",type:\"number\"},{start:4,name:\"scoreThreshold\",type:\"number\"},{start:5,name:\"softNmsSigma\",type:\"number\"}]},{tfOpName:\"Where\",category:\"dynamic\",inputs:[{start:0,name:\"condition\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ListDiff\",category:\"dynamic\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]}];var nS={};He(nS,{json:()=>JX});var JX=[{tfOpName:\"LowerBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"TopKV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"k\",type:\"number\"}],attrs:[{tfName:\"sorted\",name:\"sorted\",type:\"bool\"}]},{tfOpName:\"UpperBound\",category:\"evaluation\",inputs:[{start:0,name:\"sortedSequence\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"}]},{tfOpName:\"Unique\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"UniqueV2\",category:\"evaluation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]}];var sS={};He(sS,{json:()=>e5});var e5=[{tfOpName:\"PlaceholderWithDefault\",category:\"graph\",inputs:[{start:0,name:\"default\",type:\"tensor\"}],attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Placeholder\",category:\"graph\",attrs:[{tfName:\"shape\",name:\"shape\",type:\"shape\"},{tfName:\"dtype\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"Const\",category:\"graph\"},{tfOpName:\"Identity\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IdentityN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Snapshot\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Rank\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Size\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"Shape\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"ShapeN\",category:\"graph\",inputs:[{start:0,end:0,name:\"x\",type:\"tensors\"}]},{tfOpName:\"Print\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"data\",type:\"tensors\"}],attrs:[{tfName:\"message\",name:\"message\",type:\"string\"},{tfName:\"first_n\",name:\"firstN\",type:\"number\",notSupported:!0},{tfName:\"summarize\",name:\"summarize\",type:\"number\",defaultValue:3}]},{tfOpName:\"NoOp\",category:\"graph\",inputs:[]},{tfOpName:\"StopGradient\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"FakeQuantWithMinMaxVars\",category:\"graph\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"min\",name:\"min\",type:\"number\"},{tfName:\"max\",name:\"max\",type:\"number\"}]}];var aS={};He(aS,{json:()=>t5});var t5=[{tfOpName:\"HashTable\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"HashTableV2\",category:\"hash_table\",inputs:[],attrs:[{tfName:\"shared_name\",name:\"sharedName\",type:\"string\"},{tfName:\"use_node_name_sharing\",name:\"useNodeNameSharing\",type:\"bool\"},{tfName:\"key_dtype\",name:\"keyDType\",type:\"dtype\"},{tfName:\"value_dtype\",name:\"valueDType\",type:\"dtype\"}]},{tfOpName:\"LookupTableImport\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableImportV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFind\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableFindV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"Tin\",name:\"tIn\",type:\"dtype\",notSupported:!0},{tfName:\"Tout\",name:\"tOut\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LookupTableSize\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"LookupTableSizeV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"}]},{tfOpName:\"InitializeTable\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]},{tfOpName:\"InitializeTableV2\",category:\"hash_table\",inputs:[{start:0,name:\"tableHandle\",type:\"tensor\"},{start:1,name:\"keys\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]}];var iS={};He(iS,{json:()=>r5});var r5=[{tfOpName:\"ResizeBilinear\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"ResizeNearestNeighbor\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"size\",type:\"number[]\"}],attrs:[{tfName:\"align_corners\",name:\"alignCorners\",type:\"bool\"},{tfName:\"half_pixel_centers\",name:\"halfPixelCenters\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"CropAndResize\",category:\"image\",inputs:[{start:0,name:\"image\",type:\"tensor\"},{start:1,name:\"boxes\",type:\"tensor\"},{start:2,name:\"boxInd\",type:\"tensor\"},{start:3,name:\"cropSize\",type:\"number[]\"}],attrs:[{tfName:\"method\",name:\"method\",type:\"string\"},{tfName:\"extrapolation_value\",name:\"extrapolationValue\",type:\"number\"}]},{tfOpName:\"ImageProjectiveTransformV3\",category:\"image\",inputs:[{start:0,name:\"images\",type:\"tensor\"},{start:1,name:\"transforms\",type:\"tensor\"},{start:2,name:\"outputShape\",type:\"number[]\"},{start:3,name:\"fillValue\",type:\"number\"}],attrs:[{tfName:\"interpolation\",name:\"interpolation\",type:\"string\"},{tfName:\"fill_mode\",name:\"fillMode\",type:\"string\"}]}];var uS={};He(uS,{json:()=>o5});var o5=[{tfOpName:\"Equal\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"NotEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Greater\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"GreaterEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Less\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LessEqual\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalAnd\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalNot\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"LogicalOr\",category:\"logical\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Select\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SelectV2\",category:\"logical\",inputs:[{start:0,name:\"condition\",type:\"tensor\"},{start:1,name:\"a\",type:\"tensor\"},{start:2,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BitwiseAnd\",category:\"logical\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"y\",type:\"tensor\"}]}];var pS={};He(pS,{json:()=>n5});var n5=[{tfOpName:\"_FusedMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"},{start:2,end:0,name:\"args\",type:\"tensors\"}],attrs:[{tfName:\"num_args\",name:\"numArgs\",type:\"number\"},{tfName:\"fused_ops\",name:\"fusedOps\",type:\"string[]\",defaultValue:[]},{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:1e-4},{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"leakyrelu_alpha\",name:\"leakyreluAlpha\",type:\"number\",defaultValue:.2},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"MatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"transpose_a\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"transpose_b\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMul\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"BatchMatMulV2\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"b\",type:\"tensor\"}],attrs:[{tfName:\"adj_x\",name:\"transposeA\",type:\"bool\",defaultValue:!1},{tfName:\"adj_y\",name:\"transposeB\",type:\"bool\",defaultValue:!1},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Transpose\",category:\"matrices\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"perm\",type:\"number[]\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Einsum\",category:\"matrices\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"equation\",name:\"equation\",type:\"string\"},{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2},{tfName:\"T\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"MatrixBandPart\",category:\"matrices\",inputs:[{start:0,name:\"a\",type:\"tensor\"},{start:1,name:\"numLower\",type:\"tensor\"},{start:1,name:\"numUpper\",type:\"tensor\"}]}];var cS={};He(cS,{json:()=>s5});var s5=[{tfOpName:\"EuclideanNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\",defaultValue:!1}]},{tfOpName:\"FusedBatchNorm\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV2\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"FusedBatchNormV3\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"scale\",type:\"tensor\"},{start:2,name:\"offset\",type:\"tensor\"},{start:3,name:\"mean\",type:\"tensor\"},{start:4,name:\"variance\",type:\"tensor\"}],attrs:[{tfName:\"epsilon\",name:\"epsilon\",type:\"number\",defaultValue:.001},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\",notSupported:!0}]},{tfOpName:\"LRN\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"depth_radius\",name:\"radius\",type:\"number\",defaultValue:5},{tfName:\"bias\",name:\"bias\",type:\"number\",defaultValue:1},{tfName:\"alpha\",name:\"alpha\",type:\"number\",defaultValue:1},{tfName:\"beta\",name:\"beta\",type:\"number\",defaultValue:.5}]},{tfOpName:\"Softmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"LogSoftmax\",category:\"normalization\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]}];var lS={};He(lS,{json:()=>a5});var a5=[{tfOpName:\"Bincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}]},{tfOpName:\"DenseBincount\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"size\",type:\"number\"},{start:2,name:\"weights\",type:\"tensor\"}],attrs:[{tfName:\"binary_output\",name:\"binaryOutput\",type:\"bool\"}]},{tfOpName:\"Max\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Mean\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Min\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Sum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"All\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"Any\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"}]},{tfOpName:\"ArgMax\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"ArgMin\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"Prod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}],attrs:[{tfName:\"keep_dims\",name:\"keepDims\",type:\"bool\"},{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"Cumprod\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]},{tfOpName:\"Cumsum\",category:\"reduction\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"exclusive\",name:\"exclusive\",type:\"bool\"},{tfName:\"reverse\",name:\"reverse\",type:\"bool\"}]}];var mS={};He(mS,{json:()=>i5});var i5=[{tfOpName:\"ConcatV2\",category:\"slice_join\",inputs:[{start:0,end:-1,name:\"tensors\",type:\"tensors\"},{start:-1,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"Concat\",category:\"slice_join\",inputs:[{start:1,end:0,name:\"tensors\",type:\"tensors\"},{start:0,name:\"axis\",type:\"number\"}],attrs:[{tfName:\"N\",name:\"n\",type:\"number\",defaultValue:2}]},{tfOpName:\"GatherV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}],attrs:[{tfName:\"batch_dims\",name:\"batchDims\",type:\"number\",defaultValue:0}]},{tfOpName:\"Gather\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",notSupported:!0}]},{tfOpName:\"Reverse\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"dims\",type:\"bool[]\"}]},{tfOpName:\"ReverseV2\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number[]\"}]},{tfOpName:\"Slice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"size\",type:\"number[]\"}]},{tfOpName:\"StridedSlice\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"begin\",type:\"number[]\"},{start:2,name:\"end\",type:\"number[]\"},{start:3,name:\"strides\",type:\"number[]\"}],attrs:[{tfName:\"begin_mask\",name:\"beginMask\",type:\"number\",defaultValue:0},{tfName:\"end_mask\",name:\"endMask\",type:\"number\",defaultValue:0},{tfName:\"new_axis_mask\",name:\"newAxisMask\",type:\"number\",defaultValue:0},{tfName:\"ellipsis_mask\",name:\"ellipsisMask\",type:\"number\",defaultValue:0},{tfName:\"shrink_axis_mask\",name:\"shrinkAxisMask\",type:\"number\",defaultValue:0}]},{tfOpName:\"Pack\",category:\"slice_join\",inputs:[{start:0,end:0,name:\"tensors\",type:\"tensors\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"Unpack\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"}],attrs:[{tfName:\"axis\",name:\"axis\",type:\"number\",defaultValue:0},{tfName:\"num\",name:\"num\",type:\"number\",defaultValue:0,notSupported:!0}]},{tfOpName:\"Tile\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"reps\",type:\"number[]\"}]},{tfOpName:\"Split\",category:\"slice_join\",inputs:[{start:0,name:\"axis\",type:\"number\",defaultValue:0},{start:1,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"num_split\",name:\"numOrSizeSplits\",type:\"number\",defaultValue:1}]},{tfOpName:\"SplitV\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"numOrSizeSplits\",type:\"number[]\"},{start:2,name:\"axis\",type:\"number\",defaultValue:0}]},{tfOpName:\"ScatterNd\",category:\"slice_join\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"GatherNd\",category:\"slice_join\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",category:\"slice_join\",inputs:[{start:0,name:\"sparseIndices\",type:\"tensor\"},{start:1,name:\"outputShape\",type:\"number[]\"},{start:2,name:\"sparseValues\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}],attrs:[{tfName:\"validate_indices\",name:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]},{tfOpName:\"TensorScatterUpdate\",category:\"slice_join\",inputs:[{start:0,name:\"tensor\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"values\",type:\"tensor\"}]}];var dS={};He(dS,{json:()=>u5});var u5=[{tfOpName:\"SparseFillEmptyRows\",category:\"sparse\",inputs:[{start:0,name:\"indices\",type:\"tensor\"},{start:1,name:\"values\",type:\"tensor\"},{start:2,name:\"denseShape\",type:\"tensor\"},{start:3,name:\"defaultValue\",type:\"tensor\"}]},{tfOpName:\"SparseReshape\",category:\"sparse\",inputs:[{start:0,name:\"inputIndices\",type:\"tensor\"},{start:1,name:\"inputShape\",type:\"tensor\"},{start:2,name:\"newShape\",type:\"tensor\"}],attrs:[{tfName:\"T\",name:\"dtype\",type:\"dtype\",notSupported:!0}]},{tfOpName:\"SparseSegmentMean\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]},{tfOpName:\"SparseSegmentSum\",category:\"sparse\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"indices\",type:\"tensor\"},{start:2,name:\"segmentIds\",type:\"tensor\"}]}];var fS={};He(fS,{json:()=>p5});var p5=[{tfOpName:\"FFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"IFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"}]},{tfOpName:\"RFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]},{tfOpName:\"IRFFT\",category:\"spectral\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"fft_length\",type:\"number\",notSupported:!0}]}];var hS={};He(hS,{json:()=>c5});var c5=[{tfOpName:\"StaticRegexReplace\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"pattern\",name:\"pattern\",type:\"string\"},{tfName:\"rewrite\",name:\"rewrite\",type:\"string\"},{tfName:\"replace_global\",name:\"replaceGlobal\",type:\"bool\"}]},{tfOpName:\"StringNGrams\",category:\"string\",inputs:[{start:0,name:\"data\",type:\"tensor\"},{start:1,name:\"dataSplits\",type:\"tensor\"}],attrs:[{tfName:\"separator\",name:\"separator\",type:\"string\"},{tfName:\"ngram_widths\",name:\"nGramWidths\",type:\"number[]\"},{tfName:\"left_pad\",name:\"leftPad\",type:\"string\"},{tfName:\"right_pad\",name:\"rightPad\",type:\"string\"},{tfName:\"pad_width\",name:\"padWidth\",type:\"number\"},{tfName:\"preserve_short_sequences\",name:\"preserveShortSequences\",type:\"bool\"}],outputs:[\"ngrams\",\"ngrams_splits\"]},{tfOpName:\"StringSplit\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"},{start:1,name:\"delimiter\",type:\"tensor\"}],attrs:[{tfName:\"skip_empty\",name:\"skipEmpty\",type:\"bool\"}],outputs:[\"indices\",\"values\",\"shape\"]},{tfOpName:\"StringToHashBucketFast\",category:\"string\",inputs:[{start:0,name:\"input\",type:\"tensor\"}],attrs:[{tfName:\"num_buckets\",name:\"numBuckets\",type:\"number\"}]}];var gS={};He(gS,{json:()=>l5});var l5=[{tfOpName:\"Cast\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"SrcT\",name:\"sdtype\",type:\"dtype\",notSupported:!0},{tfName:\"DstT\",name:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"axis\",type:\"number\"}]},{tfOpName:\"MirrorPad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"mode\",name:\"mode\",type:\"string\"}]},{tfOpName:\"Pad\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"}],attrs:[{tfName:\"constant_value\",name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"padding\",type:\"number[]\"},{start:2,name:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"EnsureShape\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"axis\",tfDeprecatedName:\"squeeze_dims\",name:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"blockShape\",type:\"number[]\"},{start:2,name:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"}],attrs:[{tfName:\"block_size\",name:\"blockSize\",type:\"number\"},{tfName:\"data_format\",name:\"dataFormat\",type:\"string\"}]},{tfOpName:\"BroadcastTo\",category:\"transformation\",inputs:[{start:0,name:\"x\",type:\"tensor\"},{start:1,name:\"shape\",type:\"number[]\"}],attrs:[]},{tfOpName:\"BroadcastArgs\",category:\"transformation\",inputs:[{start:0,name:\"s0\",type:\"tensor\"},{start:1,name:\"s1\",type:\"tensor\"}],attrs:[]}];var Fl=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let e=[Zw,Jw,eS,tS,rS,oS,nS,sS,aS,iS,uS,pS,cS,lS,mS,dS,fS,hS,gS],t=[].concat(...e.map(o=>o.json));this.opMappers=t.reduce((o,n)=>(o[n.tfOpName]=n,o),{})}transformGraph(e,t={}){let o=e.node,n=[],s=[],a=[],i=o.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith(\"Placeholder\")?n.push(h[g.name]):g.op===\"Const\"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&a.push(h[g.name]),h),{}),p=[],u=[],c={},l={};t!=null&&(c=this.mapSignatureEntries(t.inputs),l=this.mapSignatureEntries(t.outputs));let m=Object.keys(i);m.forEach(h=>{let g=i[h];g.inputNames.forEach((x,b)=>{let[w,,S]=Ds(x),k=i[w];if(k.outputs!=null){let _=k.outputs.indexOf(S);if(_!==-1){let E=`${w}:${_}`;g.inputNames[b]=E}}g.inputs.push(k),k.children.push(g)})}),Object.keys(l).length===0?m.forEach(h=>{let g=i[h];g.children.length===0&&u.push(g)}):Object.keys(l).forEach(h=>{let[g]=Ds(h),x=i[g];x!=null&&(x.signatureKey=l[h],u.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Ds(h),x=i[g];x&&(x.signatureKey=c[h],p.push(x))}):p=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let f={nodes:i,inputs:p,outputs:u,weights:s,placeholders:n,signature:t,functions:d};return a.length>0&&(f.initNodes=a),f}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,o)=>(t[e[o].name]=o,t),{})}mapNode(e){let t=sf(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let o={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith(\"^\")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(o.inputParams=t.inputs.reduce((n,s)=>(n[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},n),{})),t.attrs!=null&&(o.attrParams=t.attrs.reduce((n,s)=>{let a=s.type,i;switch(s.type){case\"string\":i=uf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=uf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"string[]\":i=hf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=hf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number\":i=cf(e.attr,s.tfName,s.defaultValue||0),i===void 0&&s.tfDeprecatedName&&(i=cf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"number[]\":i=ff(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=ff(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool\":i=pf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=pf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"bool[]\":i=xf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=xf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape\":i=df(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=df(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"shape[]\":i=gf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=gf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype\":i=lf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=lf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"dtype[]\":i=mf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=mf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"func\":i=QN(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=QN(e.attr,s.tfDeprecatedName,s.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${e.op}`)}return n[s.name]={value:i,type:a},n},{})),o}mapFunction(e){let t=e.nodeDef,o=[],n=[],s={};t!=null&&(s=t.reduce((l,m)=>(l[m.name]=this.mapNode(m),m.op===\"Const\"&&n.push(l[m.name]),l),{}));let a=[],i=[];e.signature.inputArg.forEach(l=>{let[m]=Ds(l.name),d={name:m,op:\"Placeholder\",inputs:[],inputNames:[],category:\"graph\",inputParams:{},attrParams:{dtype:{value:xS(l.type),type:\"dtype\"}},children:[]};d.signatureKey=l.name,a.push(d),s[m]=d}),Object.keys(s).forEach(l=>{let m=s[l];m.inputNames.forEach((d,f)=>{let[h,,g]=Ds(d),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[f]=w}}m.inputs.push(x),x.children.push(m)})});let u=e.ret;e.signature.outputArg.forEach(l=>{let[m,d]=Ds(u[l.name]),f=s[m];f!=null&&(f.defaultOutput=d,i.push(f))});let c=this.mapArgsToSignature(e);return{nodes:s,inputs:a,outputs:i,weights:n,placeholders:o,signature:c}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o),t),{}),outputs:e.signature.outputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o,e.ret),t),{})}}mapArgToTensorInfo(e,t){let o=e.name;return t!=null&&(o=t[o]),{name:o,dtype:e.type}}};function m5(r){let e=P().global;if(typeof e.atob!=\"undefined\")return e.atob(r);if(typeof Buffer!=\"undefined\")return new Buffer(r,\"base64\").toString();throw new Error(\"Unable to decode base64 in this environment. Missing built-in atob() or Buffer()\")}function ZN(r,e){let t=Array.isArray(r)?String.fromCharCode.apply(null,r):m5(r);return e?t:t.toLowerCase()}function uf(r,e,t,o=!1){let n=r[e];return n!=null?ZN(n.s,o):t}function pf(r,e,t){let o=r[e];return o?o.b:t}function cf(r,e,t){let o=r[e]||{},n=o.i!=null?o.i:o.f!=null?o.f:t;return typeof n==\"number\"?n:parseInt(n,10)}function xS(r){switch(typeof r==\"string\"&&(r=co[r]),r){case co.DT_FLOAT:case co.DT_HALF:return\"float32\";case co.DT_INT32:case co.DT_INT64:case co.DT_INT8:case co.DT_UINT8:return\"int32\";case co.DT_BOOL:return\"bool\";case co.DT_DOUBLE:return\"float32\";case co.DT_STRING:return\"string\";default:return null}}function QN(r,e,t){let o=r[e];return o&&o.func?o.func.name:t}function lf(r,e,t){let o=r[e];return o&&o.type?xS(o.type):t}function mf(r,e,t){let o=r[e];return o&&o.list&&o.list.type?o.list.type.map(n=>xS(n)):t}function JN(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(e=>typeof e.size==\"number\"?e.size:parseInt(e.size,10)):[]}function df(r,e,t){let o=r[e];return o&&o.shape?JN(o.shape):t}function ff(r,e,t){let o=r[e];return o?((o.list.f&&o.list.f.length?o.list.f:o.list.i)||[]).map(n=>typeof n==\"number\"?n:parseInt(n,10)):t}function hf(r,e,t,o=!1){let n=r[e];return n&&n.list&&n.list.s?n.list.s.map(s=>ZN(s,o)):t}function gf(r,e,t){let o=r[e];return o&&o.list&&o.list.shape?o.list.shape.map(n=>JN(n)):t}function xf(r,e,t){let o=r[e];return o&&o.list&&o.list.b?o.list.b:t}var yf=class{constructor(e,t,o){this.node=e,this.tensorMap=t,this.context=o,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,s)=>(n[s]=this.getAttr(s),n),{}))}getInput(e){return Bt(e,this.tensorMap,this.context)}getAttr(e,t){let o=this.node.rawAttrs[e];if(o.tensor!=null)return Bt(e,this.tensorMap,this.context);if(o.i!=null||o.f!=null)return cf(this.node.rawAttrs,e,t);if(o.s!=null)return uf(this.node.rawAttrs,e,t);if(o.b!=null)return pf(this.node.rawAttrs,e,t);if(o.shape!=null)return df(this.node.rawAttrs,e,t);if(o.type!=null)return lf(this.node.rawAttrs,e,t);if(o.list!=null){if(o.list.i!=null||o.list.f!=null)return ff(this.node.rawAttrs,e,t);if(o.list.s!=null)return hf(this.node.rawAttrs,e,t);if(o.list.shape!=null)return gf(this.node.rawAttrs,e,t);if(o.list.b!=null)return xf(this.node.rawAttrs,e,t);if(o.list.type!=null)return mf(this.node.rawAttrs,e,t)}return t}};var Ze={};He(Ze,{OP_SCOPE_SUFFIX:()=>pw,abs:()=>Zt,acos:()=>ik,acosh:()=>uk,add:()=>be,addN:()=>pk,all:()=>ck,any:()=>lk,argMax:()=>mk,argMin:()=>dk,asin:()=>fk,asinh:()=>hk,atan:()=>gk,atan2:()=>xk,atanh:()=>yk,avgPool:()=>cd,avgPool3d:()=>wk,basicLSTMCell:()=>Sk,batchNorm:()=>tu,batchNorm2d:()=>vk,batchNorm3d:()=>kk,batchNorm4d:()=>Nk,batchToSpaceND:()=>ld,bincount:()=>md,bitwiseAnd:()=>Tk,booleanMaskAsync:()=>qq,broadcastArgs:()=>_k,broadcastTo:()=>ru,buffer:()=>me,cast:()=>Ye,ceil:()=>$k,clipByValue:()=>Ek,clone:()=>Vr,complex:()=>$r,concat:()=>yt,concat1d:()=>Rk,concat2d:()=>Dk,concat3d:()=>Ak,concat4d:()=>Fk,conv1d:()=>Pk,conv2d:()=>ou,conv2dTranspose:()=>Ok,conv3d:()=>Mk,conv3dTranspose:()=>Bk,cos:()=>zk,cosh:()=>Vk,cosineWindow:()=>_l,cumprod:()=>Wk,cumsum:()=>Uk,denseBincount:()=>Gk,depthToSpace:()=>Hk,depthwiseConv2d:()=>ac,diag:()=>Kk,dilation2d:()=>qk,div:()=>Ke,divNoNan:()=>Xk,dot:()=>Yk,dropout:()=>s6,einsum:()=>Qk,elu:()=>gd,enclosingPowerOfTwo:()=>Pw,ensureShape:()=>Zk,equal:()=>hd,erf:()=>Jk,euclideanNorm:()=>r2,exp:()=>ko,expandDims:()=>oi,expm1:()=>o2,eye:()=>xd,fft:()=>pc,fill:()=>Sa,floor:()=>yd,floorDiv:()=>pd,fused:()=>Ow,gather:()=>bd,gatherND:()=>o6,greater:()=>Bu,greaterEqual:()=>Cd,ifft:()=>Hu,imag:()=>su,image:()=>uj,inTopKAsync:()=>i6,irfft:()=>Wd,isFinite:()=>n2,isInf:()=>s2,isNaN:()=>a2,leakyRelu:()=>wd,less:()=>kl,lessEqual:()=>ic,linalg:()=>pj,linspace:()=>i2,localResponseNormalization:()=>u2,log:()=>ni,log1p:()=>Sd,logSigmoid:()=>p2,logSoftmax:()=>c2,logSumExp:()=>kd,logicalAnd:()=>zu,logicalNot:()=>Nd,logicalOr:()=>Td,logicalXor:()=>l2,losses:()=>cj,lowerBound:()=>m2,matMul:()=>Qe,max:()=>Ia,maxPool:()=>$d,maxPool3d:()=>d2,maxPoolWithArgmax:()=>f2,maximum:()=>Ed,mean:()=>Vu,meshgrid:()=>h2,min:()=>vl,minimum:()=>Wu,mirrorPad:()=>g2,mod:()=>x2,moments:()=>y2,movingAverage:()=>Yq,mul:()=>se,multiRNNCell:()=>b2,multinomial:()=>C2,neg:()=>pr,norm:()=>Lu,notEqual:()=>Rd,oneHot:()=>Tl,ones:()=>va,onesLike:()=>w2,op:()=>N,outerProduct:()=>S2,pad:()=>ka,pad1d:()=>I2,pad2d:()=>v2,pad3d:()=>k2,pad4d:()=>N2,pool:()=>T2,pow:()=>ri,prelu:()=>Ad,print:()=>ud,prod:()=>_2,raggedGather:()=>$2,raggedRange:()=>E2,raggedTensorToTensor:()=>R2,rand:()=>D2,randomGamma:()=>J2,randomNormal:()=>Bd,randomStandardNormal:()=>e1,randomUniform:()=>uc,randomUniformInt:()=>t1,range:()=>au,real:()=>si,reciprocal:()=>r1,relu:()=>iu,relu6:()=>zd,reshape:()=>W,reverse:()=>uo,reverse1d:()=>o1,reverse2d:()=>n1,reverse3d:()=>s1,reverse4d:()=>a1,rfft:()=>cc,round:()=>Vd,rsqrt:()=>i1,scalar:()=>ke,scatterND:()=>Zq,searchSorted:()=>Nl,selu:()=>u1,separableConv2d:()=>p1,setdiff1dAsync:()=>c1,sigmoid:()=>wa,sign:()=>l1,signal:()=>ij,sin:()=>m1,sinh:()=>d1,slice:()=>qe,slice1d:()=>f1,slice2d:()=>h1,slice3d:()=>g1,slice4d:()=>x1,softmax:()=>y1,softplus:()=>vd,spaceToBatchND:()=>Dd,sparse:()=>lj,sparseToDense:()=>t6,spectral:()=>aj,split:()=>ai,sqrt:()=>Rr,square:()=>Jt,squaredDifference:()=>Ud,squeeze:()=>lc,stack:()=>vr,step:()=>Gd,stridedSlice:()=>b1,string:()=>mj,sub:()=>Te,sum:()=>ot,tan:()=>C1,tanh:()=>Il,tensor:()=>ir,tensor1d:()=>xr,tensor2d:()=>uu,tensor3d:()=>Hd,tensor4d:()=>w1,tensor5d:()=>S1,tensor6d:()=>I1,tensorScatterUpdate:()=>k1,tile:()=>nu,topk:()=>N1,transpose:()=>dc,truncatedNormal:()=>T1,unique:()=>_1,unsortedSegmentSum:()=>$1,unstack:()=>po,upperBound:()=>E1,variable:()=>R1,where:()=>io,whereAsync:()=>qd,zeros:()=>Wr,zerosLike:()=>Ht});var eT=(r,e,t,o=Ze)=>{switch(r.op){case\"BiasAdd\":case\"AddV2\":case\"Add\":return[o.add(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"AddN\":return[o.addN(I(\"tensors\",r,e,t))];case\"FloorMod\":case\"Mod\":return[o.mod(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Mul\":return[o.mul(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"RealDiv\":case\"Div\":return[o.div(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"DivNoNan\":return[o.divNoNan(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"FloorDiv\":return[o.floorDiv(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Sub\":return[o.sub(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Minimum\":return[o.minimum(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Maximum\":return[o.maximum(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Pow\":return[o.pow(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"SquaredDifference\":return[o.squaredDifference(I(\"a\",r,e,t),I(\"b\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tT=(r,e,t,o=Ze)=>{switch(r.op){case\"Abs\":case\"ComplexAbs\":return[o.abs(I(\"x\",r,e,t))];case\"Acos\":return[o.acos(I(\"x\",r,e,t))];case\"Acosh\":return[o.acosh(I(\"x\",r,e,t))];case\"Asin\":return[o.asin(I(\"x\",r,e,t))];case\"Asinh\":return[o.asinh(I(\"x\",r,e,t))];case\"Atan\":return[o.atan(I(\"x\",r,e,t))];case\"Atan2\":return[o.atan2(I(\"x\",r,e,t),I(\"y\",r,e,t))];case\"Atanh\":return[o.atanh(I(\"x\",r,e,t))];case\"Ceil\":return[o.ceil(I(\"x\",r,e,t))];case\"Complex\":return[o.complex(I(\"real\",r,e,t),I(\"imag\",r,e,t))];case\"Cos\":return[o.cos(I(\"x\",r,e,t))];case\"Cosh\":return[o.cosh(I(\"x\",r,e,t))];case\"Elu\":return[o.elu(I(\"x\",r,e,t))];case\"Erf\":return[o.erf(I(\"x\",r,e,t))];case\"Exp\":return[o.exp(I(\"x\",r,e,t))];case\"Expm1\":return[o.expm1(I(\"x\",r,e,t))];case\"Floor\":return[o.floor(I(\"x\",r,e,t))];case\"Log\":return[o.log(I(\"x\",r,e,t))];case\"Log1p\":return[o.log1p(I(\"x\",r,e,t))];case\"Imag\":return[o.imag(I(\"x\",r,e,t))];case\"Neg\":return[o.neg(I(\"x\",r,e,t))];case\"Reciprocal\":return[o.reciprocal(I(\"x\",r,e,t))];case\"Real\":return[o.real(I(\"x\",r,e,t))];case\"Relu\":return[o.relu(I(\"x\",r,e,t))];case\"Round\":return[o.round(I(\"x\",r,e,t))];case\"Selu\":return[o.selu(I(\"x\",r,e,t))];case\"Sigmoid\":return[o.sigmoid(I(\"x\",r,e,t))];case\"Sin\":return[o.sin(I(\"x\",r,e,t))];case\"Sign\":return[o.sign(I(\"x\",r,e,t))];case\"Sinh\":return[o.sinh(I(\"x\",r,e,t))];case\"Softplus\":return[o.softplus(I(\"x\",r,e,t))];case\"Sqrt\":return[o.sqrt(I(\"x\",r,e,t))];case\"Square\":return[o.square(I(\"x\",r,e,t))];case\"Tanh\":return[o.tanh(I(\"x\",r,e,t))];case\"Tan\":return[o.tan(I(\"x\",r,e,t))];case\"ClipByValue\":return[o.clipByValue(I(\"x\",r,e,t),I(\"clipValueMin\",r,e,t),I(\"clipValueMax\",r,e,t))];case\"Relu6\":return[o.relu6(I(\"x\",r,e,t))];case\"Rsqrt\":return[o.rsqrt(Bt(r.inputNames[0],e,t))];case\"LeakyRelu\":return[o.leakyRelu(I(\"x\",r,e,t),I(\"alpha\",r,e,t))];case\"Prelu\":return[o.prelu(I(\"x\",r,e,t),I(\"alpha\",r,e,t))];case\"IsNan\":return[o.isNaN(Bt(r.inputNames[0],e,t))];case\"IsInf\":return[o.isInf(Bt(r.inputNames[0],e,t))];case\"IsFinite\":return[o.isFinite(Bt(r.inputNames[0],e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Ur(r,e,t=\"\"){if(!(typeof r==\"number\"||typeof e==\"number\")){y.assert(r.length===e.length,()=>t+` Shapes ${r} and ${e} must match`);for(let o=0;ot+` Shapes ${r} and ${e} must match`)}}}function rT(r){return!(typeof r==\"number\"||r.some(e=>e<0))}function fc(r,e,t){let o=bf(r,t),n=!rT(o);if(n&&e.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${o}`);if(n&&e.forEach(s=>{o=bf(s.shape,o)}),!rT(o))throw new Error(`Non-fully-defined elementShape: ${o}`);return o}function bf(r,e){if(typeof r==\"number\")return e;if(typeof e==\"number\")return r;if(r.length!==e.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${e}`);let t=[];for(let o=0;o=0&&s>=0&&n!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${e}`);t[o]=n>=0?n:s}return t}var Cf=class{constructor(e,t,o,n,s,a,i){this.name=e,this.dtype=t,this.maxSize=o,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=a,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ke(0),Er(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let o=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e},\n because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ur(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),o.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(o.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);o.tensor=t,Er(t),o.written=!0,this.tensors[e]=o}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((o,n)=>this.write(o,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${o} vs. ${this.maxSize})`);this.writeMany(e,po(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let o=0,n=e.map(p=>(o+=p,o));if(o!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${o}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let s=o===0?0:t.size/o,a=[];De(()=>{t=W(t,[1,o,s]);for(let p=0;p{if(o!==s.dtype)throw new Error(`Invalid data types; op elements ${o}, but list elements ${s.dtype}`);Ur(t,s.shape,\"TensorList shape mismatch: \"),Er(s)}),this.idTensor=ke(0),this.maxNumElements=n,Er(this.idTensor)}copy(){return new ci([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,o=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(o!==-1&&this.tensors.length!==o)throw new Error(`Operation expected a list with ${o} elements but got a list with ${this.tensors.length} elements.`);Ur(e,this.elementShape,\"TensorList shape mismatch: \");let n=fc(this.elementShape,this.tensors,e);return De(()=>{let s=this.tensors.map(a=>W(a,n));return vr(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error(\"Trying to pop from an empty list.\");let o=fc(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Ur(n.shape,e,\"TensorList shape mismatch: \"),W(n,o)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ur(e.shape,this.elementShape,\"TensorList shape mismatch: \"),this.maxNumElements===this.size())throw new Error(\"Trying to push element into a full list.\");Er(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new ci([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let o=0;othis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ur(this.tensors[e].shape,t,\"TensorList shape mismatch: \");let n=fc(this.elementShape,this.tensors,t);return W(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ur(this.elementShape,t.shape,\"TensorList shape mismatch: \"),Er(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,o){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ur(this.elementShape,o,\"TensorList shape mismatch: \"),e=e.slice(0,this.size());let n=fc(this.elementShape,this.tensors,o);return e.length===0?ir([],[0].concat(n)):De(()=>{let s=e.map(a=>W(this.tensors[a],n));return vr(s,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ur(this.elementShape,t,\"TensorList shape mismatch: \");let o=fc(this.elementShape,this.tensors,t);return this.size()===0?ir([],[0].concat(o)):De(()=>{let n=this.tensors.map(s=>W(s,o));return yt(n,0)})}};function oT(r,e,t){let o=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==t)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${t}`);let n=r.shape.slice(1);Ur(n,e,\"TensorList shape mismatch: \");let s=po(r);return new ci(s,e,o)}function nT(r,e,t,o){return new ci([],r,e,o)}function sT(r,e,t,o){if(e.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${r.shape[0]}`);let n=Math.max(...e);if(o!=null&&o!==-1&&n>=o)throw new Error(`Max index must be < array size (${n} vs. ${o})`);let s=new ci([],t,r.dtype,o),a=po(r,0);return e.forEach((i,p)=>{s.setItem(i,a[p])}),s}function aT(r,e,t){let o=0,n=e.map(c=>(o+=c,o));if(o!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${o}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),a=bf(s,t),i=o===0?0:r.size/o,p=De(()=>{let c=[];r=W(r,[1,o,i]);for(let l=0;l{switch(r.op){case\"If\":case\"StatelessIf\":{let o=I(\"thenBranch\",r,e,t),n=I(\"elseBranch\",r,e,t),s=I(\"cond\",r,e,t),a=I(\"args\",r,e,t);return(await s.data())[0]?t.functionMap[o].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap):t.functionMap[n].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap)}case\"While\":case\"StatelessWhile\":{let o=I(\"body\",r,e,t),n=I(\"cond\",r,e,t),s=I(\"args\",r,e,t),a=await t.functionMap[n].executeFunctionAsync(s,t.tensorArrayMap,t.tensorListMap),i=s.map(c=>c.id),p=await a[0].data();a.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=s;for(;p[0];){let c=u;u=await t.functionMap[o].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);let l=u.map(d=>d.id);c.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()});let m=await t.functionMap[n].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);p=await m[0].data(),m.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()})}return u}case\"LoopCond\":{let o=I(\"pred\",r,e,t);return[As(o)]}case\"Switch\":{let o=I(\"pred\",r,e,t),n=I(\"data\",r,e,t);return n.kept||(n=As(n)),(await o.data())[0]?[void 0,n]:[n,void 0]}case\"Merge\":{let o=r.inputNames.find(n=>Bt(n,e,t)!==void 0);if(o){let n=Bt(o,e,t);return[As(n)]}return}case\"Enter\":{let o=I(\"frameName\",r,e,t),n=I(\"tensor\",r,e,t);return t.enterFrame(o),[As(n)]}case\"Exit\":{let o=I(\"tensor\",r,e,t);return t.exitFrame(),[As(o)]}case\"NextIteration\":{let o=I(\"tensor\",r,e,t);return t.nextIteration(),[As(o)]}case\"TensorArrayV3\":{let o=I(\"size\",r,e,t),n=I(\"dtype\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"dynamicSize\",r,e,t),i=I(\"clearAfterRead\",r,e,t),p=I(\"identicalElementShapes\",r,e,t),u=I(\"name\",r,e,t),c=new Cf(u,n,o,s,p,a,i);return t.addTensorArray(c),[c.idTensor,ke(1)]}case\"TensorArrayWriteV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorArray(o.id);return a.write(n,s),[a.idTensor]}case\"TensorArrayReadV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"index\",r,e,t);return[t.getTensorArray(o.id).read(n)]}case\"TensorArrayGatherV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"dtype\",r,e,t);return[t.getTensorArray(o.id).gather(n,s)]}case\"TensorArrayScatterV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorArray(o.id);return a.scatter(n,s),[a.idTensor]}case\"TensorArrayConcatV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id),s=I(\"dtype\",r,e,t);return[n.concat(s)]}case\"TensorArraySplitV3\":{let o=I(\"tensorArrayId\",r,e,t),n=I(\"tensor\",r,e,t),s=I(\"lengths\",r,e,t),a=t.getTensorArray(o.id);return a.split(s,n),[a.idTensor]}case\"TensorArraySizeV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id);return[ke(n.size(),\"int32\")]}case\"TensorArrayCloseV3\":{let o=I(\"tensorArrayId\",r,e,t),n=t.getTensorArray(o.id);return n.clearAndClose(),[n.idTensor]}case\"TensorListSetItem\":{let o=I(\"tensorListId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"tensor\",r,e,t),a=t.getTensorList(o.id);return a.setItem(n,s),[a.idTensor]}case\"TensorListGetItem\":{let o=I(\"tensorListId\",r,e,t),n=I(\"index\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).getItem(n,s,a)]}case\"TensorListScatterV2\":case\"TensorListScatter\":{let o=I(\"indices\",r,e,t),n=I(\"tensor\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"numElements\",r,e,t),i=sT(n,o,s,a);return t.addTensorList(i),[i.idTensor]}case\"TensorListReserve\":case\"EmptyTensorList\":{let o=I(\"elementShape\",r,e,t),n=I(\"elementDType\",r,e,t),s;r.op===\"TensorListReserve\"?s=\"numElements\":s=\"maxNumElements\";let a=I(s,r,e,t),i=r.op===\"TensorListReserve\"?-1:a,p=nT(o,n,a,i);return t.addTensorList(p),[p.idTensor]}case\"TensorListGather\":{let o=I(\"tensorListId\",r,e,t),n=I(\"indices\",r,e,t),s=I(\"elementShape\",r,e,t),a=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).gather(n,a,s)]}case\"TensorListStack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t),a=I(\"numElements\",r,e,t);return[t.getTensorList(o.id).stack(n,s,a)]}case\"TensorListFromTensor\":{let o=I(\"tensor\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t),a=oT(o,n,s);return t.addTensorList(a),[a.idTensor]}case\"TensorListConcat\":case\"TensorListConcatV2\":{let o=I(\"tensorListId\",r,e,t),n=t.getTensorList(o.id),s=I(\"dtype\",r,e,t),a=I(\"elementShape\",r,e,t);return[n.concat(s,a)]}case\"TensorListPushBack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"tensor\",r,e,t),s=t.getTensorList(o.id);return s.pushBack(n),[s.idTensor]}case\"TensorListPopBack\":{let o=I(\"tensorListId\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"elementDType\",r,e,t);return[t.getTensorList(o.id).popBack(n,s)]}case\"TensorListSplit\":{let o=I(\"tensor\",r,e,t),n=I(\"elementShape\",r,e,t),s=I(\"lengths\",r,e,t),a=aT(o,s,n);return t.addTensorList(a),[a.idTensor]}case\"TensorListLength\":{let o=I(\"tensorListId\",r,e,t),n=t.getTensorList(o.id);return[ke(n.size(),\"int32\")]}case\"TensorListResize\":{let o=I(\"tensorListId\",r,e,t),n=I(\"size\",r,e,t),a=t.getTensorList(o.id).resize(n);return t.addTensorList(a),[a.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function uT(r,e,t){let[o,n]=I(\"fusedOps\",r,e,t),s=o===\"biasadd\",a=!s,i=n===\"prelu\",p=o===\"fusedbatchnorm\",u=I(\"numArgs\",r,e,t);if(s){if(i&&u!==2)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!i&&s&&u!==1)throw new Error(\"FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.\")}if(p)throw new Error(\"FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported\");let c=I(\"strides\",r,e,t),l=Al(r,e,t),m=I(\"dataFormat\",r,e,t).toUpperCase(),d=I(\"dilations\",r,e,t),[f,h]=I(\"args\",r,e,t);a&&(h=f,f=void 0);let g=I(\"leakyreluAlpha\",r,e,t);return{stride:c,pad:l,dataFormat:m,dilations:d,biasArg:f,preluArg:h,activationFunc:n,leakyreluAlpha:g}}var pT=(r,e,t,o=Ze)=>{switch(r.op){case\"Conv1D\":{let n=I(\"stride\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilation\",r,e,t);return[o.conv1d(I(\"x\",r,e,t),I(\"filter\",r,e,t),n,s,a,i)]}case\"Conv2D\":{let n=I(\"strides\",r,e,t),s=Al(r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilations\",r,e,t);return[o.conv2d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2]],s,a,[i[1],i[2]])]}case\"_FusedConv2D\":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=uT(r,e,t);return[o.fused.conv2d({x:I(\"x\",r,e,t),filter:I(\"filter\",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case\"FusedDepthwiseConv2dNative\":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=uT(r,e,t);return[o.fused.depthwiseConv2d({x:I(\"x\",r,e,t),filter:I(\"filter\",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case\"Conv2DBackpropInput\":case\"Conv2dTranspose\":{let n=I(\"outputShape\",r,e,t),s=I(\"strides\",r,e,t),a=Al(r,e,t);return[o.conv2dTranspose(I(\"x\",r,e,t),I(\"filter\",r,e,t),n,[s[1],s[2]],a)]}case\"DepthwiseConv2dNative\":case\"DepthwiseConv2d\":{let n=I(\"strides\",r,e,t),s=Al(r,e,t),a=I(\"dilations\",r,e,t),i=I(\"dataFormat\",r,e,t).toUpperCase();return[o.depthwiseConv2d(I(\"input\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2]],s,i,[a[1],a[2]])]}case\"Conv3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dataFormat\",r,e,t).toUpperCase(),i=I(\"dilations\",r,e,t);return[o.conv3d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[n[1],n[2],n[3]],s,a,[i[1],i[2],i[3]])]}case\"AvgPool\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.avgPool(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case\"MaxPool\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.maxPool(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case\"MaxPoolWithArgmax\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t),i=I(\"includeBatchInIndex\",r,e,t),{result:p,indexes:u}=o.maxPoolWithArgmax(I(\"x\",r,e,t),[a[1],a[2]],[n[1],n[2]],s,i);return[p,u]}case\"AvgPool3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.avgPool3d(I(\"x\",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case\"MaxPool3D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"kernelSize\",r,e,t);return[o.maxPool3d(I(\"x\",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case\"Dilation2D\":{let n=I(\"strides\",r,e,t),s=I(\"pad\",r,e,t),a=I(\"dilations\",r,e,t),i=n[1],p=n[2],u=a[1],c=a[2];return[o.dilation2d(I(\"x\",r,e,t),I(\"filter\",r,e,t),[i,p],s,[u,c],\"NHWC\")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var cT=(r,e,t,o=Ze)=>{switch(r.op){case\"Fill\":{let n=I(\"shape\",r,e,t),s=I(\"dtype\",r,e,t),a=I(\"value\",r,e,t);return[o.fill(n,a,s)]}case\"LinSpace\":{let n=I(\"start\",r,e,t),s=I(\"stop\",r,e,t),a=I(\"num\",r,e,t);return[o.linspace(n,s,a)]}case\"Multinomial\":{let n=I(\"logits\",r,e,t),s=I(\"numSamples\",r,e,t),a=I(\"seed\",r,e,t);return[o.multinomial(n,s,a)]}case\"OneHot\":{let n=I(\"indices\",r,e,t),s=I(\"depth\",r,e,t),a=I(\"onValue\",r,e,t),i=I(\"offValue\",r,e,t),p=I(\"dtype\",r,e,t);return[o.oneHot(n,s,a,i,p)]}case\"Ones\":return[o.ones(I(\"shape\",r,e,t),I(\"dtype\",r,e,t))];case\"OnesLike\":return[o.onesLike(I(\"x\",r,e,t))];case\"RandomStandardNormal\":return[o.randomStandardNormal(I(\"shape\",r,e,t),I(\"dtype\",r,e,t),I(\"seed\",r,e,t))];case\"RandomUniform\":return[o.randomUniform(I(\"shape\",r,e,t),I(\"minval\",r,e,t),I(\"maxval\",r,e,t),I(\"dtype\",r,e,t))];case\"RandomUniformInt\":return[o.randomUniformInt(I(\"shape\",r,e,t),I(\"minval\",r,e,t),I(\"maxval\",r,e,t),I(\"seed\",r,e,t))];case\"Range\":{let n=I(\"start\",r,e,t),s=I(\"stop\",r,e,t),a=I(\"step\",r,e,t);return[o.range(n,s,a,I(\"dtype\",r,e,t))]}case\"TruncatedNormal\":{let n=I(\"shape\",r,e,t),s=I(\"mean\",r,e,t),a=I(\"stdDev\",r,e,t),i=I(\"seed\",r,e,t);return[o.truncatedNormal(n,s,a,I(\"dtype\",r,e,t),i)]}case\"Zeros\":return[o.zeros(I(\"shape\",r,e,t),I(\"dtype\",r,e,t))];case\"ZerosLike\":return[o.zerosLike(I(\"x\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function yS(r,e,t){let o=I(\"boxes\",r,e,t),n=I(\"scores\",r,e,t),s=I(\"maxOutputSize\",r,e,t),a=I(\"iouThreshold\",r,e,t),i=I(\"scoreThreshold\",r,e,t),p=I(\"softNmsSigma\",r,e,t);return{boxes:o,scores:n,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:p}}var lT=async(r,e,t,o,n=Ze)=>{switch(r.op){case\"NonMaxSuppressionV5\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u,softNmsSigma:c}=yS(r,e,t),l=await n.image.nonMaxSuppressionWithScoreAsync(s,a,i,p,u,c);return[l.selectedIndices,l.selectedScores]}case\"NonMaxSuppressionV4\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=yS(r,e,t),c=I(\"padToMaxOutputSize\",r,e,t),l=await n.image.nonMaxSuppressionPaddedAsync(s,a,i,p,u,c);return[l.selectedIndices,l.validOutputs]}case\"NonMaxSuppressionV3\":case\"NonMaxSuppressionV2\":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=yS(r,e,t);return[await n.image.nonMaxSuppressionAsync(s,a,i,p,u)]}case\"Where\":{let s=n.cast(I(\"condition\",r,e,t),\"bool\"),a=[await n.whereAsync(s)];return s.dispose(),a}case\"ListDiff\":return n.setdiff1dAsync(I(\"x\",r,e,t),I(\"y\",r,e,t));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var mT=(r,e,t,o=Ze)=>{switch(r.op){case\"LowerBound\":{let n=I(\"sortedSequence\",r,e,t),s=I(\"values\",r,e,t);return[o.lowerBound(n,s)]}case\"TopKV2\":{let n=I(\"x\",r,e,t),s=I(\"k\",r,e,t),a=I(\"sorted\",r,e,t),i=o.topk(n,s,a);return[i.values,i.indices]}case\"UpperBound\":{let n=I(\"sortedSequence\",r,e,t),s=I(\"values\",r,e,t);return[o.upperBound(n,s)]}case\"Unique\":{let n=I(\"x\",r,e,t),s=o.unique(n);return[s.values,s.indices]}case\"UniqueV2\":{let n=I(\"x\",r,e,t),s=I(\"axis\",r,e,t),a=o.unique(n,s);return[a.values,a.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var dT=(r,e,t,o=Ze)=>{switch(r.op){case\"Const\":return e[r.name];case\"PlaceholderWithDefault\":let n=I(\"default\",r,e,t);return[Bt(r.name,e,t)||n];case\"Placeholder\":return[Bt(r.name,e,t)];case\"Identity\":case\"StopGradient\":case\"FakeQuantWithMinMaxVars\":{let c=I(\"x\",r,e,t);return[As(c)]}case\"IdentityN\":return I(\"x\",r,e,t).map(c=>As(c));case\"Snapshot\":let s=I(\"x\",r,e,t);return[As(s)];case\"Shape\":return[o.tensor1d(I(\"x\",r,e,t).shape,\"int32\")];case\"ShapeN\":return I(\"x\",r,e,t).map(c=>o.tensor1d(c.shape));case\"Size\":return[o.scalar(I(\"x\",r,e,t).size,\"int32\")];case\"Rank\":return[o.scalar(I(\"x\",r,e,t).rank,\"int32\")];case\"NoOp\":return[o.scalar(1)];case\"Print\":let a=I(\"x\",r,e,t),i=I(\"data\",r,e,t),p=I(\"message\",r,e,t),u=I(\"summarize\",r,e,t);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(p);for(let c=0;ce.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ke(this.size(),\"int32\")}async import(e,t){this.checkKeyAndValueTensor(e,t);let o=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),De(()=>{let n=po(t),s=o.length,a=n.length;y.assert(s===a,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${a} elements.`);for(let i=0;i{let n=[];for(let s=0;s{switch(r.op){case\"HashTable\":case\"HashTableV2\":{let n=o.getHashTableHandleByName(r.name);if(n!=null)return[n];{let s=I(\"keyDType\",r,e,t),a=I(\"valueDType\",r,e,t),i=new wf(s,a);return o.addHashTable(r.name,i),[i.handle]}}case\"InitializeTable\":case\"InitializeTableV2\":case\"LookupTableImport\":case\"LookupTableImportV2\":{let n=I(\"tableHandle\",r,e,t,o),s=I(\"keys\",r,e,t),a=I(\"values\",r,e,t);return[await o.getHashTableById(n.id).import(s,a)]}case\"LookupTableFind\":case\"LookupTableFindV2\":{let n=I(\"tableHandle\",r,e,t,o),s=I(\"keys\",r,e,t),a=I(\"defaultValue\",r,e,t);return[await o.getHashTableById(n.id).find(s,a)]}case\"LookupTableSize\":case\"LookupTableSizeV2\":{let n=I(\"tableHandle\",r,e,t,o);return[o.getHashTableById(n.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var hT=(r,e,t,o=Ze)=>{switch(r.op){case\"ResizeBilinear\":{let n=I(\"images\",r,e,t),s=I(\"size\",r,e,t),a=I(\"alignCorners\",r,e,t),i=I(\"halfPixelCenters\",r,e,t);return[o.image.resizeBilinear(n,[s[0],s[1]],a,i)]}case\"ResizeNearestNeighbor\":{let n=I(\"images\",r,e,t),s=I(\"size\",r,e,t),a=I(\"alignCorners\",r,e,t),i=I(\"halfPixelCenters\",r,e,t);return[o.image.resizeNearestNeighbor(n,[s[0],s[1]],a,i)]}case\"CropAndResize\":{let n=I(\"image\",r,e,t),s=I(\"boxes\",r,e,t),a=I(\"boxInd\",r,e,t),i=I(\"cropSize\",r,e,t),p=I(\"method\",r,e,t),u=I(\"extrapolationValue\",r,e,t);return[o.image.cropAndResize(n,s,a,i,p,u)]}case\"ImageProjectiveTransformV3\":{let n=I(\"images\",r,e,t),s=I(\"transforms\",r,e,t),a=I(\"outputShape\",r,e,t),i=I(\"fillValue\",r,e,t),p=I(\"interpolation\",r,e,t),u=I(\"fillMode\",r,e,t);return[o.image.transform(n,s,p.toLowerCase(),u.toLowerCase(),i,a)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var gT=(r,e,t,o=Ze)=>{switch(r.op){case\"Equal\":return[o.equal(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"NotEqual\":return[o.notEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Greater\":return[o.greater(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"GreaterEqual\":return[o.greaterEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Less\":return[o.less(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LessEqual\":return[o.lessEqual(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LogicalAnd\":return[o.logicalAnd(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"LogicalNot\":return[o.logicalNot(I(\"a\",r,e,t))];case\"LogicalOr\":return[o.logicalOr(I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"Select\":case\"SelectV2\":return[o.where(I(\"condition\",r,e,t),I(\"a\",r,e,t),I(\"b\",r,e,t))];case\"BitwiseAnd\":return[o.bitwiseAnd(I(\"a\",r,e,t),I(\"b\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var xT=(r,e,t,o=Ze)=>{switch(r.op){case\"BatchMatMul\":case\"BatchMatMulV2\":case\"MatMul\":return[o.matMul(I(\"a\",r,e,t),I(\"b\",r,e,t),I(\"transposeA\",r,e,t),I(\"transposeB\",r,e,t))];case\"Einsum\":return[o.einsum(I(\"equation\",r,e,t),...I(\"tensors\",r,e,t))];case\"Transpose\":return[o.transpose(I(\"x\",r,e,t),I(\"perm\",r,e,t))];case\"_FusedMatMul\":let[n,s]=I(\"fusedOps\",r,e,t),a=n===\"biasadd\",i=s===\"prelu\",p=I(\"numArgs\",r,e,t),u=I(\"leakyreluAlpha\",r,e,t);if(a){if(i&&p!==2)throw new Error(\"Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.\");if(!i&&p!==1)throw new Error(\"Fused MatMul with BiasAdd must have one extra argument: bias.\")}let[c,l]=I(\"args\",r,e,t);return[o.fused.matMul({a:I(\"a\",r,e,t),b:I(\"b\",r,e,t),transposeA:I(\"transposeA\",r,e,t),transposeB:I(\"transposeB\",r,e,t),bias:c,activation:s,preluActivationWeights:l,leakyreluAlpha:u})];case\"MatrixBandPart\":return[o.linalg.bandPart(I(\"a\",r,e,t),I(\"numLower\",r,e,t),I(\"numUpper\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var yT=(r,e,t,o=Ze)=>{switch(r.op){case\"EuclideanNorm\":return[o.euclideanNorm(I(\"x\",r,e,t),I(\"axis\",r,e,t),I(\"keepDims\",r,e,t))];case\"FusedBatchNorm\":case\"FusedBatchNormV2\":return[o.batchNorm(I(\"x\",r,e,t),I(\"mean\",r,e,t),I(\"variance\",r,e,t),I(\"offset\",r,e,t),I(\"scale\",r,e,t),I(\"epsilon\",r,e,t))];case\"FusedBatchNormV3\":return[o.batchNorm(I(\"x\",r,e,t),I(\"mean\",r,e,t),I(\"variance\",r,e,t),I(\"offset\",r,e,t),I(\"scale\",r,e,t),I(\"epsilon\",r,e,t))];case\"LRN\":return[o.localResponseNormalization(I(\"x\",r,e,t),I(\"radius\",r,e,t),I(\"bias\",r,e,t),I(\"alpha\",r,e,t),I(\"beta\",r,e,t))];case\"Softmax\":return[o.softmax(I(\"x\",r,e,t))];case\"LogSoftmax\":return[o.logSoftmax(I(\"x\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var bT=(r,e,t,o=Ze)=>{switch(r.op){case\"RaggedGather\":{let{outputNestedSplits:n,outputDenseValues:s}=o.raggedGather(I(\"paramsNestedSplits\",r,e,t),I(\"paramsDenseValues\",r,e,t),I(\"indices\",r,e,t),I(\"outputRaggedRank\",r,e,t));return n.concat(s)}case\"RaggedRange\":{let{rtNestedSplits:n,rtDenseValues:s}=o.raggedRange(I(\"starts\",r,e,t),I(\"limits\",r,e,t),I(\"splits\",r,e,t));return[n,s]}case\"RaggedTensorToTensor\":return[o.raggedTensorToTensor(I(\"shape\",r,e,t),I(\"values\",r,e,t),I(\"defaultValue\",r,e,t),I(\"rowPartitionTensors\",r,e,t),I(\"rowPartitionTypes\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var CT=(r,e,t,o=Ze)=>{switch(r.op){case\"Max\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.max(I(\"x\",r,e,t),i,p)]}case\"Mean\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.mean(I(\"x\",r,e,t),i,p)]}case\"Min\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.min(I(\"x\",r,e,t),i,p)]}case\"Sum\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.sum(I(\"x\",r,e,t),i,p)]}case\"All\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.all(I(\"x\",r,e,t),i,p)]}case\"Any\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.any(I(\"x\",r,e,t),i,p)]}case\"ArgMax\":{let i=I(\"axis\",r,e,t);return[o.argMax(I(\"x\",r,e,t),i)]}case\"ArgMin\":{let i=I(\"axis\",r,e,t);return[o.argMin(I(\"x\",r,e,t),i)]}case\"Prod\":{let i=I(\"axis\",r,e,t),p=I(\"keepDims\",r,e,t);return[o.prod(I(\"x\",r,e,t),i,p)]}case\"Cumprod\":{let i=I(\"axis\",r,e,t),p=I(\"exclusive\",r,e,t),u=I(\"reverse\",r,e,t);return[o.cumprod(I(\"x\",r,e,t),i,p,u)]}case\"Cumsum\":{let i=I(\"axis\",r,e,t),p=I(\"exclusive\",r,e,t),u=I(\"reverse\",r,e,t);return[o.cumsum(I(\"x\",r,e,t),i,p,u)]}case\"Bincount\":let n=I(\"x\",r,e,t),s=I(\"weights\",r,e,t),a=I(\"size\",r,e,t);return[o.bincount(n,s,a)];case\"DenseBincount\":{let i=I(\"x\",r,e,t),p=I(\"weights\",r,e,t),u=I(\"size\",r,e,t),c=I(\"binaryOutput\",r,e,t);return[o.denseBincount(i,p,u,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var wT=(r,e,t,o=Ze)=>{switch(r.op){case\"ConcatV2\":case\"Concat\":{let n=I(\"n\",r,e,t),s=I(\"axis\",r,e,t),a=I(\"tensors\",r,e,t);return a=a.slice(0,n),[o.concat(a,s)]}case\"Gather\":{let n=I(\"x\",r,e,t),s=I(\"indices\",r,e,t);return[o.gather(n,o.cast(s,\"int32\"),0)]}case\"GatherV2\":{let n=I(\"axis\",r,e,t),s=I(\"batchDims\",r,e,t),a=I(\"x\",r,e,t),i=I(\"indices\",r,e,t);return[o.gather(a,o.cast(i,\"int32\"),n,s)]}case\"Reverse\":{let n=I(\"dims\",r,e,t),s=[];for(let i=0;i{let n=I(\"axis\",r,e,t),s=I(\"tensors\",r,e,t),a=s[0].shape,i=o.squeeze(s[0]).shape,p=s.map(u=>{let c=y.arraysEqual(u.shape,a);if(!c&&!y.arraysEqual(o.squeeze(u).shape,i))throw new Error(\"the input tensors shape does not match\");return c?u:o.reshape(u,a)});return[o.stack(p,n)]});case\"Unpack\":{let n=I(\"axis\",r,e,t),s=I(\"tensor\",r,e,t);return o.unstack(s,n)}case\"Tile\":{let n=I(\"reps\",r,e,t);return[o.tile(I(\"x\",r,e,t),n)]}case\"Split\":case\"SplitV\":{let n=I(\"axis\",r,e,t),s=I(\"numOrSizeSplits\",r,e,t),a=I(\"x\",r,e,t);return o.split(a,s,n)}case\"ScatterNd\":{let n=I(\"indices\",r,e,t),s=I(\"values\",r,e,t),a=I(\"shape\",r,e,t);return[o.scatterND(n,s,a)]}case\"GatherNd\":{let n=I(\"x\",r,e,t),s=I(\"indices\",r,e,t);return[o.gatherND(n,s)]}case\"SparseToDense\":{let n=I(\"sparseIndices\",r,e,t),s=I(\"outputShape\",r,e,t),a=I(\"sparseValues\",r,e,t),i=I(\"defaultValue\",r,e,t);return[o.sparseToDense(n,a,s,a.dtype===i.dtype?i:o.cast(i,a.dtype))]}case\"TensorScatterUpdate\":{let n=I(\"indices\",r,e,t),s=I(\"values\",r,e,t),a=I(\"tensor\",r,e,t);return[o.tensorScatterUpdate(a,n,s)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ST=(r,e,t,o=Ze)=>{switch(r.op){case\"SparseFillEmptyRows\":{let{outputIndices:n,outputValues:s,emptyRowIndicator:a,reverseIndexMap:i}=o.sparse.sparseFillEmptyRows(I(\"indices\",r,e,t),I(\"values\",r,e,t),I(\"denseShape\",r,e,t),I(\"defaultValue\",r,e,t));return[n,s,a,i]}case\"SparseReshape\":{let{outputIndices:n,outputShape:s}=o.sparse.sparseReshape(I(\"inputIndices\",r,e,t),I(\"inputShape\",r,e,t),I(\"newShape\",r,e,t));return[n,s]}case\"SparseSegmentMean\":return[o.sparse.sparseSegmentMean(I(\"data\",r,e,t),I(\"indices\",r,e,t),I(\"segmentIds\",r,e,t))];case\"SparseSegmentSum\":return[o.sparse.sparseSegmentSum(I(\"data\",r,e,t),I(\"indices\",r,e,t),I(\"segmentIds\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var IT=(r,e,t,o=Ze)=>{switch(r.op){case\"FFT\":return[o.fft(I(\"x\",r,e,t))];case\"IFFT\":return[o.ifft(I(\"x\",r,e,t))];case\"RFFT\":return[o.rfft(I(\"x\",r,e,t))];case\"IRFFT\":return[o.irfft(I(\"x\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var vT=(r,e,t,o=Ze)=>{switch(r.op){case\"StaticRegexReplace\":return[o.string.staticRegexReplace(I(\"input\",r,e,t),I(\"pattern\",r,e,t),I(\"rewrite\",r,e,t),I(\"replaceGlobal\",r,e,t))];case\"StringNGrams\":{let{nGrams:n,nGramsSplits:s}=o.string.stringNGrams(I(\"data\",r,e,t),I(\"dataSplits\",r,e,t),I(\"separator\",r,e,t),I(\"nGramWidths\",r,e,t),I(\"leftPad\",r,e,t),I(\"rightPad\",r,e,t),I(\"padWidth\",r,e,t),I(\"preserveShortSequences\",r,e,t));return[n,s]}case\"StringSplit\":{let{indices:n,values:s,shape:a}=o.string.stringSplit(I(\"input\",r,e,t),I(\"delimiter\",r,e,t),I(\"skipEmpty\",r,e,t));return[n,s,a]}case\"StringToHashBucketFast\":return[o.string.stringToHashBucketFast(I(\"input\",r,e,t),I(\"numBuckets\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var kT=(r,e,t,o=Ze)=>{switch(r.op){case\"Cast\":return[o.cast(I(\"x\",r,e,t),I(\"dtype\",r,e,t))];case\"ExpandDims\":{let n=I(\"axis\",r,e,t);return[o.expandDims(I(\"x\",r,e,t),n)]}case\"Squeeze\":{let n=I(\"axis\",r,e,t);return[o.squeeze(I(\"x\",r,e,t),n)]}case\"Reshape\":return[o.reshape(I(\"x\",r,e,t),I(\"shape\",r,e,t))];case\"EnsureShape\":return[o.ensureShape(I(\"x\",r,e,t),I(\"shape\",r,e,t))];case\"MirrorPad\":return[o.mirrorPad(I(\"x\",r,e,t),I(\"padding\",r,e,t),I(\"mode\",r,e,t))];case\"PadV2\":case\"Pad\":return[o.pad(I(\"x\",r,e,t),I(\"padding\",r,e,t),I(\"constantValue\",r,e,t))];case\"SpaceToBatchND\":{let n=I(\"blockShape\",r,e,t),s=I(\"paddings\",r,e,t);return[o.spaceToBatchND(I(\"x\",r,e,t),n,s)]}case\"BatchToSpaceND\":{let n=I(\"blockShape\",r,e,t),s=I(\"crops\",r,e,t);return[o.batchToSpaceND(I(\"x\",r,e,t),n,s)]}case\"DepthToSpace\":{let n=I(\"blockSize\",r,e,t),s=I(\"dataFormat\",r,e,t).toUpperCase();return[o.depthToSpace(I(\"x\",r,e,t),n,s)]}case\"BroadcastTo\":return[o.broadcastTo(I(\"x\",r,e,t),I(\"shape\",r,e,t))];case\"BroadcastArgs\":return[o.broadcastArgs(I(\"s0\",r,e,t),I(\"s1\",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function bS(r,e,t,o,n=De){let s=((a,i,p)=>{switch(a.category){case\"arithmetic\":return n(()=>eT(a,i,p));case\"basic_math\":return n(()=>tT(a,i,p));case\"control\":return iT(a,i,p);case\"convolution\":return n(()=>pT(a,i,p));case\"creation\":return n(()=>cT(a,i,p));case\"dynamic\":return lT(a,i,p);case\"evaluation\":return n(()=>mT(a,i,p));case\"image\":return n(()=>hT(a,i,p));case\"graph\":return n(()=>dT(a,i,p));case\"logical\":return n(()=>gT(a,i,p));case\"matrices\":return n(()=>xT(a,i,p));case\"normalization\":return n(()=>yT(a,i,p));case\"ragged\":return n(()=>bT(a,i,p));case\"reduction\":return n(()=>CT(a,i,p));case\"slice_join\":return n(()=>wT(a,i,p));case\"sparse\":return n(()=>ST(a,i,p));case\"spectral\":return n(()=>IT(a,i,p));case\"string\":return n(()=>vT(a,i,p));case\"transformation\":return n(()=>kT(a,i,p));case\"hash_table\":return fT(a,i,p,o);case\"custom\":let u=sf(a.op);if(u&&u.customExecutor)return u.customExecutor(new yf(a,i,p));throw TypeError(`Custom op ${a.op} is not registered.`);default:throw TypeError(`Unknown op '${a.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,e,t);return y.isPromise(s)?s.then(a=>[].concat(a)):[].concat(s)}var Pl=class{constructor(e={},t={},o={},n={},s){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=o,this.functionMap=n,this.parseNodeNameCache=s,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?\"\":`${t.frameName}-${t.iterationId}`).join(\"/\"):\"\"}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error(\"Cannot exit frame, the context is empty\")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error(\"Cannot increase frame iteration, the context is empty\")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function CS(r,e,t,o){let n=new Set,s=[],a=null,i=null,p=new Set,u=new Set(Object.keys(r).map(m=>Nr(m)[0]));o=o||[];let c=new Set(o.map(m=>Nr(m.name)[0])),l=[...e];for(;l.length>0;){let m=l.pop();if((cu(m)||L5(m)||B5(m))&&a==null&&(a=m,i=a.children.map(d=>d.name).filter(d=>n.has(d))),n.add(m.name),t[m.name]==null&&!u.has(m.name)&&!c.has(m.name)){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(d=>{p.has(d.name)||(p.add(d.name),l.push(d))})}}return{inputs:r,outputs:e,usedNodes:n,missingInputs:s,dynamicNode:a,syncInputs:i}}function NT(r,e){let{usedNodes:t,inputs:o}=e,n=Object.keys(o).map(g=>Nr(g)[0]).map(g=>r.nodes[g]),s=r.initNodes||[],a=g=>t.has(typeof g==\"string\"?g:g.name);function i(g){return[...new Map(g.map(x=>[x.name,x])).values()]}let p=i([...n,...r.weights,...s]).filter(a),u=i([...p,...Object.values(r.nodes)]).filter(a),c=new Map(u.map(g=>[g.name,g])),l={};for(let g of u){l[g.name]=l[g.name]||0;for(let x of g.children)a(x)||(l[x.name]=Number.POSITIVE_INFINITY),l[x.name]=(l[x.name]||0)+1}let m=Object.entries(l).filter(([,g])=>g===0).map(([g])=>g),d=[...m];for(;m.length>0;){let g=m.pop(),x=c.get(g);for(let b of x.children.filter(a))--l[b.name]===0&&(d.push(b.name),m.push(b.name))}let f=d.map(g=>c.get(g)),h=A5(f,p);return F5(h,p),h}function A5(r,e){let t=new Map(r.map(a=>[a.name,a])),o=e.map(a=>a.name),n=new Set(o);for(;o.length>0;){let a=o.pop(),i=t.get(a);for(let p of i.children)!t.has(p.name)||n.has(p.name)||(n.add(p.name),o.push(p.name))}return r.filter(a=>n.has(a.name))}var hc=class extends Error{constructor(e){super(`NodesExecutionOrderError: ${e}`)}};function F5(r,e){let t=new Map(r.map((i,p)=>[i.name,p])),o=new Set(e.map(i=>i.name)),n=i=>o.has(typeof i==\"string\"?i:i.name),s=new Set(r.map(i=>i.name)),a=i=>s.has(typeof i==\"string\"?i:i.name);for(let i of r){for(let p of i.children.filter(a)){if(!t.has(p.name))throw new hc(`Child ${p.name} of node ${i.name} is unreachable.`);if(t.get(i.name)>t.get(p.name))throw new hc(`Node ${i.name} is scheduled to run after its child ${p.name}.`)}if(!n(i))for(let p of i.inputs){if(!t.has(p.name))throw new hc(`Input ${p.name} of node ${i.name} is unreachable.`);if(t.get(p.name)>t.get(i.name))throw new hc(`Node ${i.name} is scheduled to run before its input ${p.name}.`)}}}function TT(r){let e=new Map(r.map((i,p)=>[i.name,p])),t=Number.MAX_SAFE_INTEGER,o=r.map((i,p)=>cu(i)?t:p),n=i=>{let p=o[e.get(i.name)];return p==null?-1:p},s=r.map((i,p)=>i.children.map(n).reduce((u,c)=>Math.max(u,c),o[p])),a=new Map;for(let i=0;ie[o].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=\",\",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(o=>{this._functionExecutorMap[o]=new op(e.functions[o],this)})}getCompilationKey(e,t){let o=e.map(s=>s.name).sort(),n=t.map(s=>s.name).sort();return o.join(this.SEPARATOR)+\"--\"+n.join(this.SEPARATOR)}compile(e,t){let o=CS(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:s,syncInputs:a}=o;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${a}]`);if(n.length>0){let u=t.map(l=>l.name),c=Object.keys(e);throw new Error(`Cannot compute the outputs [${u}] from the provided inputs [${c}]. Missing the following inputs: [${n}]`)}let i=NT(this.graph,o),p=TT(i);return{orderedNodes:i,nodeLiveUntilMap:p}}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Er(t),t}cloneTensorList(e){return e?e.map(o=>this.cloneAndKeepTensor(o)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,o])=>[t,this.cloneTensorList(o)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let o=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=o.map(m=>this.graph.nodes[Nr(m)[0]]),s=t.map(m=>Nr(m)[0]),a=new Set(s),i=s.map(m=>this.graph.nodes[m]);i.length===0&&(i=this._outputs);let p=this.getCompilationKey(n,i),u=this.compiledMap.get(p);u==null&&(u=this.compile(e,i),this.compiledMap.set(p,u));try{this.keepIntermediateTensors=P().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let c={},l={};return De(()=>{let m=new Pl(this.weightMap,c,l,this.functionExecutorMap,this.parseNodeNameCache),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(x=>{let[b,w]=Nr(x,m),S=[];S[w]=e[x],d[b]=S,this.keepIntermediateTensors&&(this.clonedTensorsMap[b]=this.cloneTensorList(S))});let f=this.getFrozenTensorIds(d),{orderedNodes:h,nodeLiveUntilMap:g}=u;for(let x of h){if(d[x.name])continue;let b=bS(x,d,m,this._resourceManager);if(y.isPromise(b))throw new Error(`The execution of the op '${x.op}' returned a promise. Please use model.executeAsync() instead.`);d[x.name]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[x.name]=this.cloneTensorList(b)),this.checkTensorForDisposalWithNodeLiveUntilInfo(x,d,m,f,a,g.get(x.name))}return this.parent==null&&m.dispose(f),t.map(x=>Bt(x,d,m))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(o=>e[o]).map(o=>o.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,o,n,s,a,i){if(!(cu(t)||a.has(e))){for(let p of o[e])p!=null&&(i[p.id]=(i[p.id]||0)+t.children.length);for(let p of t.inputs){if(cu(p))continue;let u=Qw(p.name,o,n);if(u!=null)for(let c of u){if(!c||c.kept||s.has(c.id))continue;let l=i[c.id];l===1?(c.dispose(),delete i[c.id]):l!=null&&i[c.id]--}}}}checkTensorForDisposalWithNodeLiveUntilInfo(e,t,o,n,s,a){function i(p){return cu(p)||s.has(p.name)}if(!(cu(e)||a==null))for(let p of a){if(i(p))continue;let u=Qw(p.name,t,o);for(let c of u)!c||c.kept||n.has(c.id)||c.dispose()}}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,o=!1,n={},s={}){this.disposeIntermediateTensors(),o||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=P().getBool(\"KEEP_INTERMEDIATE_TENSORS\")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let a=new Pl(this.weightMap,n,s,this.functionExecutorMap,this.parseNodeNameCache);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,a,t,o),p=t.map(m=>Bt(m,i,a)),u=p.map(m=>m.id),c=Object.keys(e).map(m=>e[m].id),l=new Set([...u,...c,...this.weightIds]);return Object.values(i).forEach(m=>{m.forEach(d=>{d&&!d.isDisposed&&!l.has(d.id)&&d.dispose()})}),this.parent==null&&a.dispose(l),p}async executeFunctionAsync(e,t,o){let n=e.reduce((s,a,i)=>(s[this.inputs[i].name]=a,s),{});return this._executeAsync(n,this.outputNodes,!0,t,o)}async executeWithControlFlow(e,t,o,n){let s=Object.keys(e),a=s.map(S=>this.graph.nodes[Nr(S)[0]]),i=o.map(S=>Nr(S)[0]),p=new Set(i),u=i.map(S=>this.graph.nodes[S]);u.length===0&&(u=this._outputs);let{usedNodes:c,missingInputs:l,dynamicNode:m,syncInputs:d}=CS(e,u,this.weightMap,this._initNodes),f=[...a,...this.graph.weights,...this._initNodes||[]].map(S=>({node:S,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(S=>{let[k,_]=Nr(S),E=[];E[_]=e[S],h[k]=E});let g={},x=this.getFrozenTensorIds(h),b={};for(;f.length>0;){let S=this.processStack(a,f,t,h,b,x,p,g,c);await Promise.all(S)}m==null&&!n&&console.warn(\"This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.\");let w=u.filter(S=>!cu(S)&&!Bt(S.name,h,t)).map(S=>S.name);if(w.length>0){let S=\"\";throw m!=null&&(S=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${w}] from the provided inputs [${s}]. Consider providing the following inputs: [${l}]. ${S}`)}return h}processStack(e,t,o,n,s,a,i,p,u){let c=[];for(;t.length>0;){let l=t.pop();o.currentContext=l.contexts;let m=\"\";if(l.node.op===\"Enter\"&&I(\"isConstant\",l.node,n,o)&&([m]=Ds(l.node.name,o)),n[l.node.name]==null){let d=bS(l.node,n,o,this._resourceManager);m||([m]=Ds(l.node.name,o));let f=o.currentContext;y.isPromise(d)?c.push(d.then(h=>(n[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),o.currentContext=f,this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u),h))):(n[m]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(d)),this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u))}else this.processChildNodes(l.node,t,o,n,s,u)}return c}processChildNodes(e,t,o,n,s,a){e.children.forEach(i=>{let[p]=Ds(i.name,o);s[p]||!a.has(i.name)||(i.op===\"Merge\"?i.inputNames.some(u=>!!Bt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})):i.inputNames.every(u=>!!Bt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let o=e[t],[n]=Nr(t),s=this.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===o.shape.length&&o.shape.every((p,u)=>a[u]===-1||a[u]===p);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${o.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(o.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${o.dtype}`)})}mapInputs(e){var t,o;let n={};for(let s in e){let a=(o=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||o===void 0?void 0:o[s];a!=null?n[a.name]=e[s]:n[s]=e[s]}return n}checkInputs(e){let t=Object.keys(e).filter(o=>{let[n]=Nr(o);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var o,n;let s=(n=(o=this._signature)===null||o===void 0?void 0:o.outputs)===null||n===void 0?void 0:n[t];return s!=null?s.name:t},{})}checkOutputs(e){e.forEach(t=>{let[o]=Nr(t);if(!this.graph.nodes[o])throw new Error(`The output '${t}' is not found in the graph`)})}};var Sf=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}};var z5=\"?tfjs-format=file\",V5=\"model.json\",Ol=class{get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}constructor(e,t={},o=pi){this.modelUrl=e,this.loadOptions=t,this.version=\"n/a\",this.io=o,t==null&&(this.loadOptions={}),this.resourceManager=new Sf}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");let e=this.handler.load();return y.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,o=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(o=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=o,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new op(Fl.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let s=Fl.Instance.transformGraph(e.modelInitializer);this.initializer=new op(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e==\"string\"){let o=this.io.getSaveHandlers(e);if(o.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(o.length>1)throw new Error(`Found more than one (${o.length}) save handlers for URL '${e}'`);e=o[0]}if(e.save==null)throw new Error(\"GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof pt?[e]:e,o={};return t.forEach((n,s)=>o[this.structuredOutputKeys[s]]=n),o}return e}predict(e,t){let o=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(o)}async predictAsync(e,t){let o=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(o)}normalizeInputs(e){var t;if(!(e instanceof pt)&&!Array.isArray(e)){let s=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(s!=null)for(let a in s){let i=s[a];i.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-o} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((s,a)=>{var i,p,u;let c=(u=(p=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||p===void 0?void 0:p[a])===null||u===void 0?void 0:u.resourceId;return c!=null?s[a]=this.resourceIdToCapturedInput[c]:s[a]=e[n++],s},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,o=Object.keys(t);for(let n=0;n1?o:o[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let o=await this.executor.executeAsync(e,t);return o.length>1?o:o[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,o)=>(t[o]=[e[o]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Ot(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function W5(r,e={},t=pi){if(r==null)throw new Error(\"modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model\");e==null&&(e={}),e.fromTFHub&&typeof r==\"string\"&&(r=G5(r));let o=new Ol(r,e,t);return await o.load(),o}function U5(r){if(r==null)throw new Error(\"modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model\");let e;if(r instanceof Array){let[o,n]=r;if(!o)throw new Error(\"modelJSON must be the first element of the array\");if(!n||!(n instanceof ArrayBuffer))throw new Error(\"An ArrayBuffer of weights must be the second element of the array\");if(!(\"modelTopology\"in o))throw new Error(\"Model JSON is missing 'modelTopology'\");if(!(\"weightsManifest\"in o))throw new Error(\"Model JSON is missing 'weightsManifest'\");let s=pi.getWeightSpecs(o.weightsManifest),a=pi.getModelArtifactsForJSONSync(o,s,n);e=pi.fromMemorySync(a)}else if(\"load\"in r)e=r;else if(\"modelTopology\"in r&&\"weightSpecs\"in r&&\"weightData\"in r)e=pi.fromMemorySync(r);else throw new Error(\"Unknown model format\");let t=new Ol(e);return t.load(),t}function G5(r){return r.endsWith(\"/\")||(r=r+\"/\"),`${r}${V5}${z5}`}var H5=\"4.5.0\";function Y(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the CPU backend.`)})}var K5=Wt.whereImpl,lu=class extends ro{nextDataId(){return lu.nextDataId++}constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Lo(this,ur())}write(e,t,o){this.firstUse&&(this.firstUse=!1,P().get(\"IS_NODE\")&&C.warn(`\n============================\nHi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. \n============================`));let n={id:this.nextDataId()};return this.data.set(n,{values:e,dtype:o,refCount:1}),n}makeTensorInfo(e,t,o){let n;if(t===\"string\"&&o!=null&&o.length>0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,o,n,s){this.data.set(e,{values:t,dtype:n,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:o}=this.data.get(e);if(t===\"complex64\"){let n=this.readSync(o.real.dataId),s=this.readSync(o.imag.dataId);return C.mergeRealAndImagArrays(n,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype===\"string\")try{let o=t.map(n=>y.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return me(e.shape,e.dtype,t)}makeOutput(e,t,o){return ur().makeTensorFromTensorInfo(this.makeTensorInfo(t,o,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:o}=this.data.get(e);o!=null&&(this.disposeData(o.real.dataId,!0),this.disposeData(o.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}memory(){return{unreliable:!0,reasons:[\"The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less.\"]}}where(e){Y([e],\"where\");let t=this.readSync(e.dataId);return K5(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};lu.nextDataId=0;var Sc={};He(Sc,{addImpl:()=>IS,bincountImpl:()=>yc,bincountReduceImpl:()=>If,bitwiseAndImpl:()=>vS,castImpl:()=>SS,ceilImpl:()=>kS,concatImpl:()=>np,equalImpl:()=>NS,expImpl:()=>_S,expm1Impl:()=>ES,floorDivImpl:()=>DS,floorImpl:()=>RS,gatherNdImpl:()=>vf,gatherV2Impl:()=>kf,greaterEqualImpl:()=>FS,greaterImpl:()=>AS,lessEqualImpl:()=>OS,lessImpl:()=>PS,linSpaceImpl:()=>Nf,logImpl:()=>MS,maxImpl:()=>Tf,maximumImpl:()=>LS,minimumImpl:()=>BS,multiplyImpl:()=>Ml,negImpl:()=>zS,notEqualImpl:()=>VS,prodImpl:()=>WS,raggedGatherImpl:()=>_f,raggedRangeImpl:()=>$f,raggedTensorToTensorImpl:()=>Ef,rangeImpl:()=>ap,rsqrtImpl:()=>US,scatterImpl:()=>Fs,sigmoidImpl:()=>n_,simpleAbsImpl:()=>wS,sliceImpl:()=>ip,sparseFillEmptyRowsImpl:()=>Rf,sparseReshapeImpl:()=>Df,sparseSegmentReductionImpl:()=>wc,sqrtImpl:()=>i_,squaredDifferenceImpl:()=>HS,staticRegexReplaceImpl:()=>KS,stridedSliceImpl:()=>Af,stringNGramsImpl:()=>up,stringSplitImpl:()=>pp,stringToHashBucketFastImpl:()=>cp,subImpl:()=>jS,tileImpl:()=>Ff,topKImpl:()=>Pf,transposeImpl:()=>bc,uniqueImpl:()=>lp});function wS(r){let e=new Float32Array(r.length);for(let t=0;t{let{x:e}=r.inputs,t=r.backend;Y(e,\"abs\");let o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId).values;return o=wS(n),t.makeOutput(o,e.shape,e.dtype)},_T={kernelName:Gs,backendName:\"cpu\",kernelFunc:q5};function ze(r){return(e,t,o,n,s)=>{let a=C.assertAndGetBroadcastShape(e,t),i=a.length,p=y.computeStrides(a),u=y.sizeFromShape(a),c=y.getTypedArrayFromDType(s,u),l=e.length,m=t.length,d=y.computeStrides(e),f=y.computeStrides(t),h=C.getBroadcastDims(e,a),g=C.getBroadcastDims(t,a);if(h.length+g.length===0)for(let x=0;xw[E]=0);let S=y.locToIndex(w,l,d),k=b.slice(-m);g.forEach(E=>k[E]=0);let _=y.locToIndex(k,m,f);c[x]=r(o[S],n[_])}return[c,a]}}function Kt(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=t.makeTensorInfo(o.shape,\"complex64\"),p=t.data.get(i.dataId);return p.complexTensorInfos={real:t.makeTensorInfo(o.shape,\"float32\",s),imag:t.makeTensorInfo(n.shape,\"float32\",a)},i}var $T={kernelName:Ti,backendName:\"cpu\",kernelFunc:Kt};function gc(r,e,t=\"float32\"){if(t===\"complex64\"){let n=gc(r,e,\"float32\"),s=gc(r,e,\"float32\");return Kt({inputs:{real:n,imag:s},backend:r})}let o=y.makeZerosTypedArray(y.sizeFromShape(e),t);return r.makeTensorInfo(e,t,o)}function lr(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var ET={kernelName:xo,backendName:\"cpu\",kernelFunc:lr};function To(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.data.get(o.dataId).complexTensorInfos.real,s=t.data.get(n.dataId).values;return t.makeTensorInfo(n.shape,n.dtype,s)}var RT={kernelName:zi,backendName:\"cpu\",kernelFunc:To};function SS(r,e,t,o){if(o===\"int32\"){let n=Int32Array.from(r);return[e,\"int32\",n]}if(o===\"bool\"){let n=y.toTypedArray([0],t),[s,a]=ze((i,p)=>i!==p?1:0)(e,[],r,n,\"bool\");return[a,\"bool\",s]}throw new Error(`Error in Cast: failed to cast ${t} to ${o}`)}function _o(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return lr({inputs:{x:n},backend:t});let c=gc(t,n.shape,n.dtype),l=_o({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),m=Kt({inputs:{real:l,imag:c},backend:t});return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),m}if(n.dtype===\"complex64\"){let c=To({inputs:{input:n},backend:t}),l=_o({inputs:{x:c},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(c),l}if(!y.hasEncodingLoss(n.dtype,s)){let c=lr({inputs:{x:n},backend:t});return{dataId:c.dataId,shape:c.shape,dtype:s}}let a=t.data.get(n.dataId).values,[i,p,u]=SS(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}var DT={kernelName:ho,backendName:\"cpu\",kernelFunc:_o};function je(r,e,t,o){return t==null?({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;Y([a,i],r);let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=a.dtype===\"string\"?C.fromUint8ToStringArray(u):u,m=a.dtype===\"string\"?C.fromUint8ToStringArray(c):c,d=o||a.dtype,[f,h]=e(a.shape,i.shape,l,m,d);return p.makeTensorInfo(h,d,f)}:({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(a.dtype===\"complex64\"||i.dtype===\"complex64\"){let u=_o({inputs:{x:a},backend:p,attrs:{dtype:\"complex64\"}}),c=p.data.get(u.dataId),l=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,d=p.data.get(l.dataId).values,f=p.data.get(m.dataId).values,h=_o({inputs:{x:i},backend:p,attrs:{dtype:\"complex64\"}}),g=p.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=p.data.get(x.dataId).values,S=p.data.get(b.dataId).values,[k,_,E]=t(a.shape,i.shape,d,f,w,S),R=p.makeTensorInfo(E,\"float32\",k),D=p.makeTensorInfo(E,\"float32\",_),F=Kt({inputs:{real:R,imag:D},backend:p});return p.disposeIntermediateTensorInfo(u),p.disposeIntermediateTensorInfo(h),p.disposeIntermediateTensorInfo(R),p.disposeIntermediateTensorInfo(D),F}else{let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=o||a.dtype,[m,d]=e(a.shape,i.shape,u,c,l);return p.makeTensorInfo(d,l,m)}}}function xc(r){return(e,t,o,n,s,a)=>{let i=C.assertAndGetBroadcastShape(e,t),p=y.sizeFromShape(i),u=i.length,c=y.computeStrides(i),l=y.getTypedArrayFromDType(\"float32\",p),m=y.getTypedArrayFromDType(\"float32\",p),d=C.getBroadcastDims(e,i),f=C.getBroadcastDims(t,i),h=C.mergeRealAndImagArrays(o,n),g=C.mergeRealAndImagArrays(s,a),x=e.length,b=y.computeStrides(e),w=t.length,S=y.computeStrides(t);if(d.length+f.length===0)for(let k=0;kE[M]=0);let R=y.locToIndex(E,x,b),D=_.slice(-w);f.forEach(M=>D[M]=0);let F=y.locToIndex(D,w,S),O=r(h[R*2],h[R*2+1],g[F*2],g[F*2+1]);l[k]=O.real,m[k]=O.imag}return[l,m,i]}}var IS=ze((r,e)=>r+e),j5=xc((r,e,t,o)=>({real:r+t,imag:e+o})),_a=je(no,IS,j5),AT={kernelName:no,backendName:\"cpu\",kernelFunc:_a};function yc(r,e,t,o,n){let s=y.sizeFromShape(o),a=y.makeZerosTypedArray(n,t);for(let i=0;i=n||(s>0?a[p]+=e[i]:a[p]+=1)}return a}function If(r,e,t,o=!1){let n=r.shape[0],s=r.shape[1],a=me([n,t],e.dtype);for(let i=0;i=t||(o?a.set(1,i,u):e.size>0?a.set(a.get(i,u)+e.get(i,p),i,u):a.set(a.get(i,u)+1,i,u))}return a}var vS=ze((r,e)=>r&e),X5=je(ml,vS),FT={kernelName:ml,backendName:\"cpu\",kernelFunc:X5};function jt(r){return(e,t,o)=>{let n=y.getArrayFromDType(t,e.length);for(let s=0;s{let{x:a}=o;Y(a,r);let i=s,p=i.data.get(a.dataId).values,u;if(a.dtype===\"string\"){if(!Array.isArray(p))throw new Error(\"String tensor's value was not an instance of Array\");u=C.fromUint8ToStringArray(p)}else u=p;let c=t||a.dtype,l=e(u,c,n);return i.makeTensorInfo(a.shape,c,l)}}var kS=jt(r=>Math.ceil(r)),Y5=Dr(Jo,kS),PT={kernelName:Jo,backendName:\"cpu\",kernelFunc:Y5};function np(r,e,t,o){let n=y.getArrayFromDType(t,y.sizeFromShape(e));if(o&&t!==\"string\"){let s=0;r.forEach(a=>{let i=y.sizeFromShape(a.shape);n.set(a.vals,s),s+=i})}else{let s=0;r.forEach(a=>{let i=t===\"string\"?C.fromUint8ToStringArray(a.vals):a.vals,p=0;for(let u=0;ur===e?1:0),TS=je(hn,NS,null,\"bool\"),OT={kernelName:hn,backendName:\"cpu\",kernelFunc:TS};var _S=jt(r=>Math.exp(r)),$S=Dr(gn,_S,\"float32\"),MT={kernelName:gn,backendName:\"cpu\",kernelFunc:$S};var ES=jt(r=>Math.expm1(r)),Q5=Dr(xn,ES),LT={kernelName:xn,backendName:\"cpu\",kernelFunc:Q5};var RS=jt(r=>Math.floor(r)),Z5=Dr(bn,RS),BT={kernelName:bn,backendName:\"cpu\",kernelFunc:Z5};var DS=ze((r,e)=>Math.floor(r/e)),J5=je(Cn,DS,null,\"int32\"),zT={kernelName:Cn,backendName:\"cpu\",kernelFunc:J5};function vf(r,e,t,o,n,s,a,i,p){let u=me([o,s],t);for(let c=0;c=p/s)throw new Error(`Invalid indices: ${l} does not index into ${i}`);for(let d=0;dr>e?1:0),e8=je(In,AS,null,\"bool\"),VT={kernelName:In,backendName:\"cpu\",kernelFunc:e8};var FS=ze((r,e)=>r>=e?1:0),t8=je(vn,FS,null,\"bool\"),WT={kernelName:vn,backendName:\"cpu\",kernelFunc:t8};var PS=ze((r,e)=>rr<=e?1:0),o8=je(En,OS,null,\"bool\"),GT={kernelName:En,backendName:\"cpu\",kernelFunc:o8};function Nf(r,e,t){let o=(e-r)/(t-1),n=y.makeZerosTypedArray(t,\"float32\");n[0]=r;for(let s=1;sMath.log(r)),n8=Dr(Dn,MS),HT={kernelName:Dn,backendName:\"cpu\",kernelFunc:n8};function Tf(r,e,t,o){let n=y.getTypedArrayFromDType(o,y.sizeFromShape(t));for(let s=0;si)&&(i=u)}n[s]=i}return n}var LS=ze((r,e)=>Math.max(r,e)),s8=je(Bn,LS),KT={kernelName:Bn,backendName:\"cpu\",kernelFunc:s8};var BS=ze((r,e)=>Math.min(r,e)),a8=je(Un,BS),qT={kernelName:Un,backendName:\"cpu\",kernelFunc:a8};var Ml=ze((r,e)=>r*e),i8=xc((r,e,t,o)=>({real:r*t-e*o,imag:r*o+e*t})),sp=je(Kn,Ml,i8),jT={kernelName:Kn,backendName:\"cpu\",kernelFunc:sp};function zS(r,e,t){let o=y.createScalarValue(-1,t);return Ml([],e,o,r,t)}function u8(r){let{inputs:e,backend:t}=r,{x:o}=e;Y(o,\"neg\");let n=t.data.get(o.dataId).values,[s,a]=zS(n,o.shape,o.dtype);return t.makeTensorInfo(a,o.dtype,s)}var XT={kernelName:oa,backendName:\"cpu\",kernelFunc:u8};var VS=ze((r,e)=>r!==e?1:0),p8=je(qn,VS,null,\"bool\"),YT={kernelName:qn,backendName:\"cpu\",kernelFunc:p8};function bc(r,e,t,o,n){let s=e.length,a=y.sizeFromShape(e),i=y.computeStrides(e),p=y.computeStrides(n),u=y.getTypedArrayFromDType(t,y.sizeFromShape(n));for(let c=0;ct.disposeIntermediateTensorInfo(b)),t.makeTensorInfo(x,g,f)}var ZT={kernelName:es,backendName:\"cpu\",kernelFunc:c8};function l8(r,e,t){r.forEach((o,n)=>{if(o<0||o>=t){let s=y.indexToLoc(n,e.length,y.computeStrides(e)).join(\",\");throw new Error(`indices[${s}] = ${o} is not in [0, ${t})`)}})}function m8(r,e){for(let t=0;tn)throw new Error(\"Ragged splits must not point past values\");for(let s=1;so[s])throw new Error(\"Ragged splits must be sorted in ascending order\")}}function d8(r,e,t,o){let n=[],s=0,a=e.length-1+t.length,i=new Array(a).fill(null).map(()=>[0]);m8(t,o);let p=1;for(let u=0;u=0){let h=i[f],g=h[h.length-1]-d[c];for(let x=c;xn[a]=s)}return e}function JT(r,e){let t=r.slice(0,e);for(;t.length1)throw new Error(\"starts must be a scalar or vector\");if(n.length>1)throw new Error(\"limits must be a scalar or vector\");if(a.length>1)throw new Error(\"deltas must be a scalar or vector\");let i=e.length===0,p=n.length===0,u=a.length===0,c=[];i||c.push(e[0]),p||c.push(n[0]),u||c.push(a[0]);for(let g=1;g0&&bx)S=0;else if(S=Math.ceil(Math.abs((b-x)/w)),S>e_)throw new Error(`Requires ((limit - start) / delta) <= ${e_}`);m[g+1]=m[g]+S}let d=m[l],f=y.getArrayFromDType(t,d),h=0;for(let g=0;go&&(o=s)}return o}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let o=0,n=e[0],s=0;for(let a=1;a\"Final length of result must be equal to firstDimension.\"),s}calculateOutputIndexRowSplit(e,t,o,n){let s=e.length,a=[];for(let i=0;i0&&a.length!==e[s-1])throw new Error(\"Invalid row split size.\");return a}calculateOutputIndexValueRowID(e,t,o,n){let s=e.length,a=[];if(s===0)return[];let i=0,p=e[0];if(p>=t.length)throw new Error(`Got currentValueRowId=${p}, which is not less than ${t.length}`);let u=t[p];a.push(u);for(let c=1;c=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${l} which is not less than ${t.length}`);u=t[l]}a.push(u)}if(a.length!==e.length)throw new Error(\"Invalid row ids.\");return a}calculateOutputIndex(e,t,o,n){let s=this.getRowPartitionTensor(e),a=this.getRowPartitionTypeByDimension(e);switch(a){case $o.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,t,o,n);case $o.ROW_SPLITS:if(s.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(s,t,o,n);default:throw new Error(`Unsupported partition type: ${$o[a]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error(\"No row_partition_types given.\");let t=this.rowPartitionTypes[0];switch(t){case $o.FIRST_DIM_SIZE:return e[0];case $o.VALUE_ROWIDS:throw new Error(\"Cannot handle VALUE_ROWIDS in first dimension.\");case $o.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${$o[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error(\"Invalid first partition input. Tensor requires at least one element.\");let t=this.getFirstDimensionSize(),o=this.calculateOutputSize(t),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let p=n.length-2;p>=0;--p)n[p]=n[p+1]*o[p+1];let s=r_(o,!1),a=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(n[0]*o[0]>0){let p=this.calculateFirstParentOutputIndex(t,n[0],o[0]);for(let u=1;u<=this.raggedRank;++u)p=this.calculateOutputIndex(u-1,p,n[u],o[u]);this.setOutput(this.raggedRank,p,a,s)}return[s,a]}setOutput(e,t,o,n){if(o.length===0)return;let s=this.values,a=o,i=n.slice();i=i.slice(e+1);let p=y.sizeFromShape(i),u=t.length,c=this.defaultValue;if(c.length!==p&&c.length!==1){let f=this.defaultValueShape;De(()=>{let h=W(c,f);c=ru(h,i).dataSync()})}let l=0,m=0,d=0;for(let f=0;f<=u;++f){let h=f=u){let g=o.length;h=Math.floor(g/p)}if(h>d)if(this.defaultValue.length===1)a.subarray(d*p,h*p).fill(this.defaultValue[0]),d=h;else for(;h>d;){let g=a.slice(d*p);t_(g,c,p),++d}h<0?(l=f+1,m=d):(l=f,m=d,d=m+1)}}};function t_(r,e,t){for(let o=0;o= 0`);if(o<-1)throw new Error(`Dimension ${o} must be >= -1`);o=-1}t.push(o)}return t}function Ef(r,e,t,o,n,s,a,i,p,u){return new Cc(r,e,t,o,n,s,a,i,p,u).compute()}function ap(r,e,t,o){let n=r===e,s=r1;if(n||s||a)return y.makeZerosTypedArray(0,o);let i=Math.abs(Math.ceil((e-r)/t)),p=y.makeZerosTypedArray(i,o);e1/Math.sqrt(r)),x8=Dr(us,US),o_={kernelName:us,backendName:\"cpu\",kernelFunc:x8};function Fs(r,e,t,o,n,s,a,i,p,u){let c=[o/n,n],l=r.values,m=e.values;if(o===0)return me(t,e.dtype);let d=p instanceof tt?p:me(c,e.dtype);typeof p==\"string\"||typeof p==\"number\"?d.values.fill(p):typeof p==\"boolean\"&&d.values.fill(+p);for(let f=0;f=o/n)throw new Error(`Invalid indices: ${h} does not index into ${t}`);for(let x=0;x1/(1+Math.exp(-r))),GS=Ie(hs,r=>1/(1+Math.exp(-r))),s_={kernelName:hs,backendName:\"cpu\",kernelFunc:GS};function ip(r,e,t,o,n){let s=ct.isSliceContinous(o,e,t),a=y.sizeFromShape(t),i=y.computeStrides(o);if(s){let l=ct.computeFlatOffset(e,i);return n===\"string\"?r.slice(l,l+a):r.subarray(l,l+a)}let p=n===\"string\"?C.fromUint8ToStringArray(r):r,u=me(o,n,p),c=me(t,n);for(let l=0;lf+e[h]);c.set(u.get(...d),...m)}return n===\"string\"?C.fromStringArrayToUint8(c.values):c.values}function Eo(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o;Y(n,\"slice\");let[i,p]=ct.parseSliceParams(n,s,a);ct.assertParamsValid(n,i,p);let u=t.data.get(n.dataId).values,c=ip(u,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,c)}var a_={kernelName:pa,backendName:\"cpu\",kernelFunc:Eo};function Rf(r,e,t,o,n,s,a){let i=e[0],p=s[0],u=new Array(p),c=new Array(i),l=e[1];if(p===0){if(i!==0)throw new Error(C.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i));let g=y.getArrayFromDType(t,0),x=y.getArrayFromDType(n,0);return[g,[0,l],x,u,c]}let m=!0,d=0,f=new Array(p).fill(0);for(let g=0;g=p)throw new Error(C.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,p));++f[x],m=m&&x>=d,d=x}let h=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(h&&m){let g=r,x=o;for(let b=0;b0){d[m-1]=1;for(let g=m-2;g>=0;--g)d[g]=d[g+1]*o[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*p[g+1]}let h=y.getArrayFromDType(t,a*i);for(let g=0;g0?n[i-1]+1:0;if(l<0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=e.slice();m[0]=l;let d=m.reduce((w,S)=>w*S,1),f=y.getArrayFromDType(t,d);if(i===0)return l>0&&f.fill(a),[f,m];if(l<=0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=n[h];for(;;){let w=0;if(g=w)throw new Error(C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=l)throw new Error(C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,l));b>x&&f.fill(a,x*u,b*u);for(let S=h;S=p[0])throw new Error(C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(S,o[S],p[0]));for(let _=0;_i)break}return xMath.sqrt(r)),y8=Ie(xs,r=>Math.sqrt(r)),u_={kernelName:xs,backendName:\"cpu\",kernelFunc:y8};var HS=ze((r,e)=>{let t=r-e;return t*t}),b8=je(ws,HS),p_={kernelName:ws,backendName:\"cpu\",kernelFunc:b8};var KS=jt((r,e)=>{let{pattern:t,replaceGlobal:o,rewrite:n}=e;return r.replace(new RegExp(t,o?\"g\":\"\"),n)}),C8=Dr(_u,KS),c_={kernelName:_u,backendName:\"cpu\",kernelFunc:C8};function Af(r,e,t,o){let n=me(r,e.dtype);for(let s=0;s0?0:i-p),d=0;d+=u*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(e[m+l-1]);for(let b=0;b0){let p=t[0];if(p!==0)throw new Error(`First split value must be 0, got ${p}`);for(let u=1;u=p;if(c=c&&t[u]<=o,!c)throw new Error(`Invalid split value ${t[u]}, must be in [${p}, ${o}]`);p=t[u]}if(p!==o)throw new Error(`Last split value must be data size. Expected ${o}, got ${p}`)}let s=n-1,a=y.getArrayFromDType(\"int32\",n);if(o===0||n===0){let p=new Array(o);for(let u=0;u<=s;++u)a[u]=0;return[p,a]}a[0]=0;for(let p=1;p<=s;++p){let u=t[p]-t[p-1],c=0;this.nGramWidths.forEach(l=>{c+=this.getNumNGrams(u,l)}),this.preserveShort&&u>0&&c===0&&(c=1),a[p]=a[p-1]+c}let i=new Array(a[s]);for(let p=0;p{let m=t[p+1]-t[p],d=this.getNumNGrams(m,l);this.createNGrams(e,u,i,c,d,l),c+=d}),this.preserveShort&&c===a[p]){let l=t[p+1]-t[p];if(l===0)continue;let m=l+2*this.padWidth,d=1;this.createNGrams(e,u,i,c,d,m)}}return[i,a]}};function up(r,e,t,o,n,s,a,i){return new qS(t,o,n,s,a,i).compute(r,e)}function w8(r,e,t,o){if(!r.length)return;if(e.length===0){for(let s=0;sr-e),S8=xc((r,e,t,o)=>({real:r-t,imag:e-o})),Ll=je(Is,jS,S8),l_={kernelName:Is,backendName:\"cpu\",kernelFunc:Ll};function Ff(r,e){let t=new Array(r.rank);for(let n=0;n{let t=e.value-r.value;return t===0?r.index-e.index:t};function m_(r,e,t=0,o=r.length-1){for(;o>t;){if(o-t>600){let i=o-t+1,p=e-t+1,u=Math.log(i),c=.5*Math.exp(2*u/3),l=.5*Math.sqrt(u*c*(i-c)/i)*Math.sign(p-i/2),m=Math.max(t,Math.floor(e-p*c/i+l)),d=Math.min(o,Math.floor(e+(i-p)*c/i+l));m_(r,e,m,d)}let n=r[e],s=t,a=o;for(y.swap(r,t,e),Bl(r[o],n)>0&&y.swap(r,t,o);s0;)a=a-1}Bl(r[t],n)===0?y.swap(r,t,a):(a=a+1,y.swap(r,a,o)),a<=e&&(t=a+1),e<=a&&(o=a-1)}}function Pf(r,e,t,o,n){let s=e[e.length-1],[a,i]=[r.length/s,s],p=y.getTypedArrayFromDType(t,a*o),u=y.getTypedArrayFromDType(\"int32\",a*o);for(let l=0;lf[w]={value:b,index:w}),o{for(let g=0;gnew lu,1);var XS=Ie(fn,r=>r>=0?r:Math.exp(r)-1),d_={kernelName:fn,backendName:\"cpu\",kernelFunc:XS};function YS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o;Y([n],\"leakyRelu\");let a=y.sizeFromShape(n.shape),i=t.data.get(n.dataId).values,p=y.getTypedArrayFromDType(\"float32\",a);for(let u=0;ur<0?e*r:r);function QS(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e;Y([o,n],\"prelu\");let s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,[i,p]=v8(o.shape,n.shape,s,a,\"float32\");return t.makeTensorInfo(p,\"float32\",i)}var h_={kernelName:Jn,backendName:\"cpu\",kernelFunc:QS};var ZS=Ie(rs,r=>Math.max(0,r)),g_={kernelName:rs,backendName:\"cpu\",kernelFunc:ZS};var JS=Ie(ss,r=>Math.min(Math.max(0,r),6)),x_={kernelName:ss,backendName:\"cpu\",kernelFunc:JS};function mp(r,e,t,o,n){if(t===\"linear\")return lr({inputs:{x:e},backend:r});if(t===\"relu\")return ZS({inputs:{x:e},backend:r});if(t===\"elu\")return XS({inputs:{x:e},backend:r});if(t===\"relu6\")return JS({inputs:{x:e},backend:r});if(t===\"prelu\")return QS({inputs:{x:e,alpha:o},backend:r});if(t===\"leakyrelu\")return YS({inputs:{x:e},backend:r,attrs:{alpha:n}});if(t===\"sigmoid\")return GS({inputs:{x:e},backend:r});throw new Error(`Activation ${t} has not been implemented for the CPU backend.`)}function Ve(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{shape:s}=o,a=y.sizeFromShape(n.shape),i=y.inferFromImplicitShape(s,a),p=y.sizeFromShape(i);y.assert(a===p,()=>`The new shape (${i}) has ${p} elements and the old shape (${n.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`),t.incRef(n.dataId);let u=t.data.get(n.dataId);if(u.complexTensorInfos!=null){let c=u.complexTensorInfos.real,l=u.complexTensorInfos.imag;c.shape=i,l.shape=i}return{dataId:n.dataId,shape:i,dtype:n.dtype}}var y_={kernelName:ia,backendName:\"cpu\",kernelFunc:Ve};function eI(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;Y([n,s],\"matMul\");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let S=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Ve({inputs:{x:n},backend:t,attrs:{shape:S}}),E=Ve({inputs:{x:s},backend:t,attrs:{shape:k}}),R=a?_.shape[1]:_.shape[2],D=a?_.shape[2]:_.shape[1],F=i?E.shape[1]:E.shape[2],O=Math.max(g,x),M=t.data.get(_.dataId).values,L=t.data.get(E.dataId).values,B=y.computeStrides(_.shape),z=y.computeStrides(E.shape),[U,j,H]=a?[B[0],1,B[1]]:[B[0],B[1],1],[X,J,re]=i?[1,z[1],z[0]]:[z[1],1,z[0]],ne=D*F,ee=me([O,D,F],_.dtype),oe=ee.values,ie=t.blockSize;for(let le=0;leMath.acos(r)),w_={kernelName:zo,backendName:\"cpu\",kernelFunc:N8};var T8=Ie(Vo,r=>Math.acosh(r)),S_={kernelName:Vo,backendName:\"cpu\",kernelFunc:T8};function _8(r){let{inputs:e,backend:t}=r,o=e;Y(e,\"addN\");let n=o.map(i=>t.data.get(i.dataId).values),s=me(o[0].shape,o[0].dtype),a=s.values;for(let i=0;ib&&(b=k,w=S)}d[g]=w}return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,\"int32\",d)}var N_={kernelName:Hs,backendName:\"cpu\",kernelFunc:R8};function D8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o;Y(n,\"argMin\");let a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=St({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),a=[a[0]],C.assertAxesAreInnerMostDims(\"argMin\",a,p.shape.length);let[c,l]=C.computeOutAndReduceShapes(p.shape,a),m=y.sizeFromShape(c),d=y.makeZerosTypedArray(m,\"int32\"),f=y.sizeFromShape(l),h=t.data.get(p.dataId).values;for(let g=0;gt.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,\"int32\",d)}var T_={kernelName:Ks,backendName:\"cpu\",kernelFunc:D8};var A8=Ie(Ho,r=>Math.asin(r)),__={kernelName:Ho,backendName:\"cpu\",kernelFunc:A8};var F8=Ie(Ko,r=>Math.asinh(r)),$_={kernelName:Ko,backendName:\"cpu\",kernelFunc:F8};var P8=Ie(qo,r=>Math.atan(r)),E_={kernelName:qo,backendName:\"cpu\",kernelFunc:P8};var O8=ze((r,e)=>Math.atan2(r,e)),M8=je(Xo,O8),R_={kernelName:Xo,backendName:\"cpu\",kernelFunc:M8};var L8=Ie(jo,r=>Math.atanh(r)),D_={kernelName:jo,backendName:\"cpu\",kernelFunc:L8};function Ic(r,e,t,o,n,s){let a=n.strideHeight,i=n.strideWidth,p=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,m=n.padInfo.top,d=n.padInfo.left,f=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=me(n.outShape,t),g=h.values,x=n.outShape[1]*n.outShape[2]*n.outShape[3],b=n.outShape[2]*n.outShape[3],w=n.outShape[3];for(let S=0;Sj?j=ie:s===\"avg\"&&(H+=ie,X++)}if(isNaN(j))break}let J=M+L*w+E;g[J]=s===\"avg\"?H/X:j}}}return h}function Of(r,e,t,o,n=!1,s=!1){let a=me(o.outShape,\"int32\"),i=o.strideHeight,p=o.strideWidth,u=o.dilationHeight,c=o.dilationWidth,l=o.effectiveFilterHeight,m=o.effectiveFilterWidth,d=o.padInfo.top,f=o.padInfo.left,h=me(e,t,r);for(let g=0;gF&&(F=U,n?O=s?((g*o.inHeight+M)*o.inWidth+B)*o.inChannels+x:(M*o.inWidth+B)*o.inChannels+x:O=L*m+z)}}a.set(O,g,b,_,x)}}return a}function Mf(r,e,t,o,n,s){let a=n.strideDepth,i=n.strideHeight,p=n.strideWidth,u=n.dilationDepth,c=n.dilationHeight,l=n.dilationWidth,m=n.effectiveFilterDepth,d=n.effectiveFilterHeight,f=n.effectiveFilterWidth,h=n.padInfo.front,g=n.padInfo.top,x=n.padInfo.left,b=s===\"max\"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=me(n.outShape,t),S=w.values,k=n.outShape[1]*n.outShape[2]*n.outShape[3]*n.outShape[4],_=n.outShape[2]*n.outShape[3]*n.outShape[4],E=n.outShape[3]*n.outShape[4],R=n.outShape[4];for(let D=0;D_e?_e=gt:s===\"avg\"&&(ve+=gt,Fe++),isNaN(_e))break}if(isNaN(_e))break}if(isNaN(_e))break}let Pe=ye+M;S[Pe]=s===\"avg\"?ve/Math.max(Fe,1):_e}}}}return w}function A_(r,e){let t=me(e.outShape,\"int32\"),o=e.strideDepth,n=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,p=e.dilationWidth,u=e.effectiveFilterDepth,c=e.effectiveFilterHeight,l=e.effectiveFilterWidth,m=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left;for(let h=0;h=L&&(L=re,B=U*c*l+H*c+J)}}}t.set(B,h,x,k,D,g)}}}return t}function B8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;Y(n,\"avgPool\");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=lr({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Ic(m,n.shape,n.dtype,d,c,\"avg\");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var F_={kernelName:Yo,backendName:\"cpu\",kernelFunc:B8};function z8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;Y(n,\"avgPool3d\");let c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=Mf(l,n.shape,n.dtype,y.computeStrides(n.shape),c,\"avg\");return t.makeTensorInfo(m.shape,\"float32\",m.values)}var P_={kernelName:qs,backendName:\"cpu\",kernelFunc:z8};function V8(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;Y([n,s],\"avgPool3DGrad\");let c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=c.strideDepth,m=c.strideHeight,d=c.strideWidth,f=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,S=c.effectiveFilterDepth,k=c.effectiveFilterHeight,_=c.effectiveFilterWidth,E=S-1-c.padInfo.front,R=_-1-c.padInfo.left,D=k-1-c.padInfo.top,F=me(s.shape,\"float32\"),O=1/(f*h*g),M=t.bufferSync(n);for(let L=0;L=c.outDepth||Math.floor(ee)!==ee))for(let oe=0;oe=c.outHeight||Math.floor(ie)!==ie))for(let le=0;le<_;le+=w){let ye=(J+le)/d;if(ye<0||ye>=c.outWidth||Math.floor(ye)!==ye)continue;let _e=M.get(L,ee,ie,ye,B);re+=_e}}}F.set(re*O,L,z,U,j,B)}return t.makeTensorInfo(F.shape,F.dtype,F.values)}var O_={kernelName:Ni,backendName:\"cpu\",kernelFunc:V8};function W8(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;Y([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=c.strideHeight,m=c.strideWidth,d=c.filterHeight,f=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,S=x-1-c.padInfo.top,k=me(a.shape,\"float32\"),_=1/(d*f),E=t.data.get(n.dataId).values,R=me(n.shape,\"float32\",E);for(let D=0;D=c.outHeight||Math.floor(j)!==j))for(let H=0;H=c.outWidth||Math.floor(X)!==X)continue;let J=R.get(D,j,X,F);z+=J}}k.set(z*_,D,O,M,F)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var M_={kernelName:Gp,backendName:\"cpu\",kernelFunc:W8};function U8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,scale:s,offset:a,mean:i,variance:p}=e;y.assert(i.shape.length===p.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(a==null||i.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(s==null||i.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\"),Y([n,i,p,s,a],\"batchNorm\");let{varianceEpsilon:u}=o;u==null&&(u=.001);let c=t.data.get(n.dataId).values,l=t.data.get(i.dataId).values,m=t.data.get(p.dataId).values,d=s?t.data.get(s.dataId).values:new Float32Array([1]),f=a?t.data.get(a.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=f.length,x=d.length,b=m.length,w=l.length,S=0,k=0,_=0,E=0;for(let R=0;R=g&&(S=0),k>=w&&(k=0),_>=x&&(_=0),E>=b&&(E=0);return t.makeTensorInfo(n.shape,n.dtype,h)}var L_={kernelName:wn,backendName:\"cpu\",kernelFunc:U8};function G8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;Y([n],\"batchToSpaceND\");let i=s.reduce((x,b)=>x*b),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=Ve({inputs:{x:n},backend:t,attrs:{shape:p}}),f=St({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Ve({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Eo({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var B_={kernelName:js,backendName:\"cpu\",kernelFunc:G8};function H8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,u=yc(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var z_={kernelName:Zo,backendName:\"cpu\",kernelFunc:H8};function K8(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],\"int32\",Int32Array.from(i))}var V_={kernelName:Xs,backendName:\"cpu\",kernelFunc:K8};var q8=Ie(go,(r,e)=>{let t=e;return r>t.clipValueMax?t.clipValueMax:r{let{x:e}=r.inputs,t=r.backend,o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId),s=n.complexTensorInfos.real,a=n.complexTensorInfos.imag,i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values;for(let u=0;uh.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(h=>h.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(h=>y.sizeFromShape(h.shape)>0);if(p.length===1)return lr({inputs:{x:p[0]},backend:t});if(p[0].dtype===\"complex64\"){let h=p.map(S=>To({inputs:{input:S},backend:t})),g=p.map(S=>$a({inputs:{input:S},backend:t})),x=mu({inputs:h,backend:t,attrs:{axis:s}}),b=mu({inputs:g,backend:t,attrs:{axis:s}}),w=Kt({inputs:{real:x,imag:b},backend:t});return h.forEach(S=>t.disposeIntermediateTensorInfo(S)),g.forEach(S=>t.disposeIntermediateTensorInfo(S)),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(b),w}let u=p.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Ve({inputs:{x:h},backend:t,attrs:{shape:x}})}),c=u.map(h=>({vals:t.data.get(h.dataId).values,shape:h.shape}));i=C.computeOutShape(u.map(h=>h.shape),1);let l=u[0].shape[0]===1,m=np(c,i,e[0].dtype,l),d=C.computeOutShape(p.map(h=>h.shape),s),f=t.makeTensorInfo(d,e[0].dtype,m);return u.forEach(h=>t.disposeIntermediateTensorInfo(h)),f}var H_={kernelName:Ys,backendName:\"cpu\",kernelFunc:mu};function tI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o;Y([n,s],\"conv2d\");let l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d=m.filterHeight,f=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat===\"channelsLast\",S=new tt(m.outShape,n.dtype),k=y.computeStrides(n.shape),_=y.computeStrides(s.shape),E=k[0],R=w?k[1]:k[2],D=w?k[2]:1,F=w?1:k[1],O=S.strides[0],M=w?S.strides[1]:S.strides[2],L=w?S.strides[2]:1,B=w?1:S.strides[1],z=t.data.get(n.dataId).values,U=t.data.get(s.dataId).values,j=S.values;for(let H=0;H=m.inHeight)continue;let le=oe*_[0],ye=X+ie*R;for(let _e=0;_e=m.inWidth)continue;let lt=le+Pe*_[1],We=ye+st*D,mt=lt;for(let it=0;it=u.inDepth)continue;let H=U*D[0],X=O+j*R[1];for(let J=0;J=u.inHeight)continue;let ie=H+ee*D[1],le=X+oe*R[2];for(let ye=0;ye=u.inWidth)continue;let st=ie+Fe*D[2],lt=le+Pe*u.inChannels,We=st;for(let mt=0;mtMath.cos(r)),Z_={kernelName:nn,backendName:\"cpu\",kernelFunc:eY};var tY=Ie(sn,r=>Math.cosh(r)),J_={kernelName:sn,backendName:\"cpu\",kernelFunc:tY};function rY(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,[c,l,m,d]=n.shape,f=s.shape[0],[h,g]=i,x=me([f,h,g,d],\"float32\"),b=t.data.get(s.dataId).values,w=t.data.get(a.dataId).values,S=t.data.get(n.dataId).values,k=y.computeStrides(n.shape),_=y.computeStrides(x.shape);for(let E=0;E=c)continue;let B=h>1?(O-D)*(l-1)/(h-1):0,z=g>1?(M-F)*(m-1)/(g-1):0;for(let U=0;U1?D*(l-1)+U*B:.5*(D+O)*(l-1);if(j<0||j>l-1){for(let H=0;H1?F*(m-1)+re*z:.5*(F+M)*(m-1);if(ne<0||ne>m-1){for(let le=0;le1?F*(m-1)+H*z:.5*(F+M)*(m-1);if(X<0||X>m-1){for(let ne=0;nex+f-b-1:(x,b)=>x+b;for(let x=0;xx+f-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${a}`);let i=n.shape[0],p=n.shape[1],u=n.shape[2],c=n.shape[3],l=p*s,m=u*s,d=c/(s*s),f=t.data.get(n.dataId).values,h=new Float32Array(i*l*m*d),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`);let d=C.computeConv2DInfo(n.shape,s.shape,a,m,i,u,!0),{filterHeight:f,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=d,w=b.left,S=b.top,k=d.outChannels/d.inChannels,_=new tt(d.outShape,n.dtype),E=t.data.get(n.dataId).values,R=t.data.get(s.dataId).values,D=_.values;for(let F=0;F=d.inHeight)continue;let H=U*l[0],X=O+j*c[1];for(let J=0;J=d.inWidth)continue;let ie=H+ee*l[1],le=X+oe*d.inChannels,ye=re,_e=ie;for(let ve=0;ve{let{x:o,filter:n}=r,{strides:s,pad:a,dilations:i}=t,p=e,u=p.data.get(o.dataId).values,c=o.shape.length,l=p.data.get(n.dataId).values,m=n.shape.length,{batchSize:d,inHeight:f,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:S,strideWidth:k,filterHeight:_,filterWidth:E,dilationHeight:R,dilationWidth:D,outShape:F}=C.computeDilation2DInfo(o.shape,n.shape,s,a,\"NHWC\",i),O=y.sizeFromShape(F),M=F.length,L=y.getArrayFromDType(o.dtype,O);for(let z=0;z=0&&oe=0&&lere&&(re=ve)}}}let ne=y.locToIndex([z,U,H,J],M,y.computeStrides(F));L[ne]=re}}}return{dataId:p.write(y.toTypedArray(L,o.dtype),F,o.dtype),shape:F,dtype:o.dtype}}};var c$={kernelName:Ai,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:S,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:R,outShape:D}=C.computeDilation2DInfo(o.shape,n.shape,a,i,\"NHWC\",p);y.assert(s.rank===D.length,()=>`Error in ${Ai}, dy must have the same rank as output ${D.length}, but got ${s.rank}`);let F=y.toNestedArray(D,u.data.get(s.dataId).values),O=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let L=0;L=0&&ee=0&&ieX&&(X=le,J=ne,re=oe)}}}O[J][re][H]+=F[L][B][U][H]}}}return{dataId:u.write(y.toTypedArray(O,o.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};var l$={kernelName:Di,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:S,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:R,outShape:D}=C.computeDilation2DInfo(o.shape,n.shape,a,i,\"NHWC\",p);y.assert(s.rank===D.length,()=>`Error in ${Di}, dy must have the same rank as output ${D.length}, but got ${s.rank}`);let F=y.toNestedArray(D,u.data.get(s.dataId).values),O=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let L=0;L=0&&ee=0&&ieX&&(X=le,J=ee,re=ie)}}}O[L][J][re][H]+=F[L][B][U][H]}}}return{dataId:u.write(y.toTypedArray(O,o.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};function li(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;Y(n,\"sum\");let i;n.dtype===\"bool\"?i=_o({inputs:{x:n},backend:t,attrs:{dtype:\"int32\"}}):i=lr({inputs:{x:n},backend:t});let p=i.shape.length,u=y.parseAxisParam(s,i.shape),c=C.getAxesPermutation(u,p),l=u,m=i;c!=null&&(m=St({inputs:{x:i},backend:t,attrs:{perm:c}}),l=C.getInnerMostAxes(l.length,p)),C.assertAxesAreInnerMostDims(\"sum\",l,m.shape.length);let[d,f]=C.computeOutAndReduceShapes(m.shape,l),h=C.upcastType(m.dtype,\"int32\"),g=gc(t,d,h),x=y.sizeFromShape(f),b=t.data.get(g.dataId).values,w=t.data.get(m.dataId).values;for(let S=0;S=0&&(m=li({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var d$={kernelName:Fi,backendName:\"cpu\",kernelFunc:cY};function lY(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e;Y([o,n],\"eluGrad\");let s=new Float32Array(y.sizeFromShape(n.shape)),a=t.data.get(n.dataId).values,i=t.data.get(o.dataId).values;for(let p=0;p=0?s[p]=i[p]:s[p]=i[p]*(u+1)}return t.makeTensorInfo(n.shape,\"float32\",s)}var f$={kernelName:Va,backendName:\"cpu\",kernelFunc:lY};var mY=C.ERF_P,dY=C.ERF_A1,fY=C.ERF_A2,hY=C.ERF_A3,gY=C.ERF_A4,xY=C.ERF_A5,yY=Ie(Wa,r=>{let e=Math.sign(r),t=Math.abs(r),o=1/(1+mY*t);return e*(1-((((xY*o+gY)*o+hY)*o+fY)*o+dY)*o*Math.exp(-t*t))}),h$={kernelName:Wa,backendName:\"cpu\",kernelFunc:yY};function vc(r){let{inputs:e,backend:t,attrs:o}=r,{input:n}=e,{dim:s}=o,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Ve({inputs:{x:n},backend:t,attrs:{shape:i}})}var g$={kernelName:Js,backendName:\"cpu\",kernelFunc:vc};var bY=ze((r,e)=>r/e),zl=je(dn,bY),Vl={kernelName:dn,backendName:\"cpu\",kernelFunc:zl};function Lf(r,e,t){let o=r.shape,n=o[0],s=o[1],a=t.data.get(r.dataId),i=a.complexTensorInfos.real,p=a.complexTensorInfos.imag,u=[n,s],c=y.sizeFromShape(u),l=y.getTypedArrayFromDType(\"float32\",c),m=y.getTypedArrayFromDType(\"float32\",c);for(let g=0;g{let{image:o}=r,n=t,s=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[a,i,p,u]=o.shape,c=n.data.get(o.dataId).values;for(let m=0;m=0&&w=0,()=>`GatherV2: the index value ${k} is not in [0, ${c-1}]`)}let l=i;i==null&&(l=0);let m=y.sizeFromShape(s.shape),d=C.segment_util.collectGatherOpShapeInfo(n,s,p,l),f=Ve({inputs:{x:n},backend:t,attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]}}),h=Ve({inputs:{x:s},backend:t,attrs:{shape:[d.batchSize,m/d.batchSize]}}),g=[d.batchSize,d.outerSize,m/d.batchSize,d.sliceSize],x=t.bufferSync(h),b=t.bufferSync(f),w=kf(b,x,g);return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),t.makeTensorInfo(d.outputShape,w.dtype,w.values)}var I$={kernelName:ta,backendName:\"cpu\",kernelFunc:_Y};function $Y(r){let{inputs:e,backend:t}=r,{input:o}=e,n=y.sizeFromShape(o.shape),s=o.shape[o.shape.length-1],a=n/s,i=Ve({inputs:{x:o},backend:t,attrs:{shape:[a,s]}}),p=Lf(i,!0,t),u=Ve({inputs:{x:p},backend:t,attrs:{shape:o.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(p),u}var v$={kernelName:Oi,backendName:\"cpu\",kernelFunc:$Y};var EY=Ie(kn,r=>Number.isFinite(r)?1:0,\"bool\"),k$={kernelName:kn,backendName:\"cpu\",kernelFunc:EY};var RY=Ie(Nn,r=>Math.abs(r)===1/0?1:0,\"bool\"),N$={kernelName:Nn,backendName:\"cpu\",kernelFunc:RY};var DY=Ie(Tn,r=>Number.isNaN(r)?1:0,\"bool\"),T$={kernelName:Tn,backendName:\"cpu\",kernelFunc:DY};function AY(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=Nf(o,n,s);return e.makeTensorInfo([a.length],\"float32\",a)}var _$={kernelName:Rn,backendName:\"cpu\",kernelFunc:AY};var FY=Ie(An,r=>Math.log1p(r)),$$={kernelName:An,backendName:\"cpu\",kernelFunc:FY};var PY=ze((r,e)=>r&&e),OY=je(Fn,PY,null,\"bool\"),E$={kernelName:Fn,backendName:\"cpu\",kernelFunc:OY};var MY=Ie(Pn,r=>r?0:1,\"bool\"),R$={kernelName:Pn,backendName:\"cpu\",kernelFunc:MY};var LY=ze((r,e)=>r||e),BY=je(On,LY,null,\"bool\"),D$={kernelName:On,backendName:\"cpu\",kernelFunc:BY};function zY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;Y(n,\"LRN\");let u=n.shape[3],c=u-1,l=t.data.get(n.dataId).values,m=y.sizeFromShape(n.shape),d=new Float32Array(m);function f(h){let g=h%u,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let S=l[x];w+=S*S}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=lr({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Ic(m,n.shape,n.dtype,d,c,\"max\");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var O$={kernelName:zn,backendName:\"cpu\",kernelFunc:WY};function UY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;Y(n,\"maxPool3d\");let c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=Mf(l,n.shape,n.dtype,y.computeStrides(n.shape),c,\"max\");return t.makeTensorInfo(m.shape,\"float32\",m.values)}var M$={kernelName:ra,backendName:\"cpu\",kernelFunc:UY};function GY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;Y([n,s],\"maxPool3DGrad\");let c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=t.bufferSync(s),m=A_(l,c),d=c.strideDepth,f=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,S=c.effectiveFilterHeight,k=c.effectiveFilterWidth,_=w-1-c.padInfo.front,E=k-1-c.padInfo.left,R=S-1-c.padInfo.top,D=me(s.shape,\"float32\"),F=t.bufferSync(n);for(let O=0;O=c.outDepth||Math.floor(re)!==re))for(let ne=0;ne=c.outHeight||Math.floor(ee)!==ee))for(let oe=0;oe=c.outWidth||Math.floor(ie)!==ie)continue;let le=w*S*k-1-m.get(O,re,ee,ie,M),ye=J*S*k+ne*k+oe,_e=le===ye?1:0;if(_e===0)continue;let ve=F.get(O,re,ee,ie,M);X+=ve*_e}}}D.set(X,O,L,B,z,M)}return t.makeTensorInfo(D.shape,D.dtype,D.values)}var L$={kernelName:Li,backendName:\"cpu\",kernelFunc:GY};function HY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;Y([s,a],\"maxPoolGrad\");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=C.computePool2DInfo(i.shape,p,u,1,c,l),d=t.data.get(i.dataId).values,f=me(m.outShape,i.dtype,Of(d,i.shape,i.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,S=m.effectiveFilterWidth,k=S-1-m.padInfo.left,_=w-1-m.padInfo.top,E=me(i.shape,\"float32\"),R=t.data.get(n.dataId).values,D=me(n.shape,\"float32\",R);for(let F=0;F=m.outHeight||Math.floor(H)!==H))for(let X=0;X=m.outWidth||Math.floor(J)!==J)continue;let re=w*S-1-f.get(F,H,J,O),ne=j*S+X,ee=re===ne?1:0;if(ee===0)continue;let oe=D.get(F,H,J,O);U+=oe*ee}}E.set(U,F,M,L,O)}return t.makeTensorInfo(E.shape,E.dtype,E.values)}var B$={kernelName:Hp,backendName:\"cpu\",kernelFunc:HY};function z$(r,e,t,o,n){let s=y.computeStrides(e),a=Ic(r,e,t,s,n,\"max\"),i=Of(r,e,t,n,!0,o);return[a.values,i.values]}var V$={kernelName:Bi,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;Y(o,\"MaxPoolWithArgmax\");let u=p.data.get(o.dataId).values,c=C.computePool2DInfo(o.shape,n,s,[1,1],a),[l,m]=z$(u,o.shape,o.dtype,i,c),d=p.write(l,c.outShape,o.dtype),f=p.write(m,c.outShape,o.dtype);return[{dataId:d,shape:c.outShape,dtype:o.dtype},{dataId:f,shape:c.outShape,dtype:\"int32\"}]}};function KY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=y.parseAxisParam(s,n.shape),u=C.computeOutAndReduceShapes(n.shape,i)[1],c=y.sizeFromShape(u),l=[],m=t.makeTensorInfo([],\"float32\",new Float32Array([c]));l.push(m);let d=_o({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}});l.push(d);let f=zl({inputs:{a:d,b:m},backend:t});l.push(f);let h=li({inputs:{x:f},backend:t,attrs:{axis:s,keepDims:a}});return l.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}var W$={kernelName:Vn,backendName:\"cpu\",kernelFunc:KY};function qY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;Y(n,\"min\");let i=y.parseAxisParam(s,n.shape),p=i,u=C.getAxesPermutation(p,n.shape.length),c=n;u!=null&&(c=St({inputs:{x:n},backend:t,attrs:{perm:u}}),p=C.getInnerMostAxes(p.length,n.shape.length)),C.assertAxesAreInnerMostDims(\"min\",p,c.shape.length);let[l,m]=C.computeOutAndReduceShapes(c.shape,p),d=y.sizeFromShape(m),f=y.makeZerosTypedArray(y.sizeFromShape(l),c.dtype),h=t.data.get(c.dataId).values;for(let x=0;xw[0]+n.shape[S]+w[1]),p=s.map(w=>w[0]),u=s.map((w,S)=>w[0]+n.shape[S]),c=a===\"reflect\"?0:1,l=t.data.get(n.dataId).values,m=n.shape.length,d=y.computeStrides(n.shape),f=y.sizeFromShape(i),h=i.length,g=y.computeStrides(i),x=y.getTypedArrayFromDType(n.dtype,f);for(let w=0;w=u[_]&&(S[_]=(u[_]-1)*2-S[_]+c);S=S.map((_,E)=>_-p[E]);let k=y.locToIndex(S,m,d);x[w]=l[k]}return{dataId:t.write(x,i,n.dtype),shape:i,dtype:n.dtype}}var G$={kernelName:Gn,backendName:\"cpu\",kernelFunc:jY};var XY=ze((r,e)=>{let t=r%e;return r<0&&e<0||r>=0&&e>=0?t:(t+e)%e}),YY=je(Ga,XY),H$={kernelName:Ga,backendName:\"cpu\",kernelFunc:YY};var q$=Bp(Rw());function sI(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=n.shape.length,i=s;if(i===-1&&(i=a-1),i!==a-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a} and dim was ${i}`);let p=y.parseAxisParam([i],n.shape),u=nI({inputs:{x:n},backend:t,attrs:{reductionIndices:p,keepDims:!1}}),c=C.expandShapeToKeepDim(u.shape,p),l=Ve({inputs:{x:u},backend:t,attrs:{shape:c}}),m=Ll({inputs:{a:n,b:l},backend:t}),d=$S({inputs:{x:m},backend:t}),f=li({inputs:{x:d},backend:t,attrs:{axis:p,keepDims:!1}}),h=Ve({inputs:{x:f},backend:t,attrs:{shape:c}}),g=zl({inputs:{a:d,b:h},backend:t});return t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var K$={kernelName:bs,backendName:\"cpu\",kernelFunc:sI};function QY(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;Y(n,\"multinomial\");let p=i?n:sI({inputs:{logits:n},backend:t,attrs:{dim:-1}}),u=p.shape[0],c=p.shape[1],l=t.data.get(p.dataId).values,m=[u,s],d=y.makeZerosTypedArray(y.sizeFromShape(m),\"int32\");for(let f=0;f=0&&l[m]{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=vc({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=mu({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var rE={kernelName:sa,backendName:\"cpu\",kernelFunc:aI};function sQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;Y(n,\"pad\");let i=s.map((b,w)=>b[0]+n.shape[w]+b[1]),p=s.map(b=>b[0]),u=t.data.get(n.dataId).values,c=y.sizeFromShape(n.shape),l=n.shape.length,m=y.computeStrides(n.shape),d=y.sizeFromShape(i),f=i.length,h=y.computeStrides(i),g=y.getTypedArrayFromDType(n.dtype,d);a!==0&&g.fill(a);for(let b=0;b_+p[E]),k=y.locToIndex(S,f,h);g[k]=u[b]}return{dataId:t.write(g,i,n.dtype),shape:i,dtype:n.dtype}}var Bf={kernelName:Qn,backendName:\"cpu\",kernelFunc:sQ};var aQ=ze((r,e)=>Math.pow(r,e)),iQ=je(Zn,aQ),oE={kernelName:Zn,backendName:\"cpu\",kernelFunc:iQ};function uQ(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.data.get(x.dataId).values),u=n.map(x=>x.shape),c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,[m,d,f]=_f(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],\"int32\",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var nE={kernelName:Kp,backendName:\"cpu\",kernelFunc:uQ};function pQ(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=$f(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],\"int32\",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var sE={kernelName:qp,backendName:\"cpu\",kernelFunc:pQ};function cQ(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.data.get(n.dataId).values,c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,m=i.map(g=>t.data.get(g.dataId).values),d=i.map(g=>g.shape),[f,h]=Ef(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var aE={kernelName:jp,backendName:\"cpu\",kernelFunc:cQ};function lQ(r){let{backend:e,attrs:t}=r,{start:o,stop:n,dtype:s,step:a}=t,i=ap(o,n,a,s);return e.makeTensorInfo([i.length],s,i)}var iE={kernelName:aa,backendName:\"cpu\",kernelFunc:lQ};var mQ=Ie(ts,r=>1/r),uE={kernelName:ts,backendName:\"cpu\",kernelFunc:mQ};function dQ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o;Y(n,\"resizeBilinear\");let p=y.computeStrides(n.shape),[u,c]=i,[l,m,d,f]=n.shape,h=t.data.get(n.dataId).values,g=new Float32Array(y.sizeFromShape([l,u,c,f])),x=[s&&u>1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],w=0,S=x[0]/b[0],k=x[1]/b[1];for(let _=0;_1?u-1:u,a&&d>1?c-1:c],g=[a&&m>1?m-1:m,a&&d>1?d-1:d],x=h[0]/g[0],b=h[1]/g[1],w=t.data.get(s.dataId).values,S=0;for(let k=0;k1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],w=x[0]/b[0],S=x[1]/b[1],k=0;for(let _=0;_1?c-1:c,a&&f>1?l-1:l],b=[a&&d>1?d-1:d,a&&f>1?f-1:f],w=x[0]/b[0],S=x[1]/b[1],k=1/w,_=1/S,E=Math.ceil(k)*2+2,R=Math.ceil(_)*2+2;for(let D=0;D=d)continue;let ee=F+ne*p[1],oe=ne*w,ie=Math.min(c-1,a?Math.round(oe):Math.floor(oe));if(O===ie)for(let le=0;le=f)continue;let _e=ee+ye*p[2],ve=ye*S,Fe=Math.min(l-1,a?Math.round(ve):Math.floor(ve));z===Fe&&(J+=g[_e+X])}}h[U+X]=J}}}}return t.makeTensorInfo(n.shape,n.dtype,h)}var mE={kernelName:Ka,backendName:\"cpu\",kernelFunc:gQ};function xQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o;Y(n,\"reverse\");let a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return lr({inputs:{x:n},backend:t});let p=new tt(n.shape,n.dtype),u=t.bufferSync(n);for(let c=0;cm[d]=n.shape[d]-1-m[d]),p.set(u.get(...m),...l)}return t.makeTensorInfo(p.shape,p.dtype,p.values)}var dE={kernelName:as,backendName:\"cpu\",kernelFunc:xQ};var fE={kernelName:_s,backendName:\"cpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[u,c,l,m]=o.shape,[d,f]=C.getImageCenter(a,c,l),h=255,g=Math.sin(n),x=Math.cos(n),b=i.data.get(o.dataId).values;for(let S=0;S=0&&B=0&&z{let e=Math.floor(r);return r-e<.5?Math.floor(r):r-e>.5?Math.ceil(r):e%2===0?e:e+1}),hE={kernelName:is,backendName:\"cpu\",kernelFunc:yQ};function bQ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=!0,d=t.bufferSync(n),f=t.bufferSync(s),h=Fs(d,f,a,l,u,p,i,c,0,m);return t.makeTensorInfo(a,h.dtype,h.values)}var gE={kernelName:ps,backendName:\"cpu\",kernelFunc:bQ};function CQ(r,e){let t=0,o=r.length,n=0;for(;t1||n.shape.length===1?1:y.sizeFromShape(n.shape.slice(1));for(let f=0;fr>=0?kQ*r:vQ*(Math.exp(r)-1)),CE={kernelName:ms,backendName:\"cpu\",kernelFunc:NQ};var TQ=Ie(fs,r=>r<0?-1:r>0?1:0),wE={kernelName:fs,backendName:\"cpu\",kernelFunc:TQ};var _Q=Ie(ds,r=>Math.sin(r)),SE={kernelName:ds,backendName:\"cpu\",kernelFunc:_Q};var $Q=Ie(ja,r=>Math.sinh(r)),IE={kernelName:ja,backendName:\"cpu\",kernelFunc:$Q};var EQ=11920928955078125e-23,vE=Math.log(EQ)+2,RQ=Ie(gs,r=>{let e=r>-vE,t=rNumber(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var TE={kernelName:Vi,backendName:\"cpu\",kernelFunc:AQ};function FQ(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape\n ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.data.get(n.dataId).values),i=t.data.get(o.dataId).values,p=Array.from(t.data.get(s.dataId).values),[u,c,l]=Df(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var _E={kernelName:Xa,backendName:\"cpu\",kernelFunc:FQ};function PQ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=wc(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var $E={kernelName:Wi,backendName:\"cpu\",kernelFunc:PQ};function OQ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error(\"segmentIds and indices should have same size.\");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=wc(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var EE={kernelName:Ui,backendName:\"cpu\",kernelFunc:OQ};function MQ(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1,f=t.bufferSync(n),h;switch(s.dtype){case\"bool\":{let g=t.bufferSync(s),x=!!t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case\"float32\":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case\"int32\":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case\"string\":{let g=t.bufferSync(s),x=y.decodeString(t.data.get(a.dataId).values[0]);h=Fs(f,g,i,m,c,u,p,l,x,d);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return t.makeTensorInfo(i,h.dtype,h.values)}var RE={kernelName:Cs,backendName:\"cpu\",kernelFunc:MQ};function LQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Eo({inputs:{x:n},backend:t,attrs:{begin:u,size:m}});return u[i]+=l,d})}var DE={kernelName:la,backendName:\"cpu\",kernelFunc:LQ};var AE={kernelName:Gi,backendName:\"cpu\",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e;Y(t,\"square\");let n=o.data.get(t.dataId).values,s=new Float32Array(n.length);for(let i=0;i{let t=e;return isNaN(r)?NaN:r>0?1:t.alpha}),FE={kernelName:yo,backendName:\"cpu\",kernelFunc:BQ};function zQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o;Y(n,\"stridedSlice\");let{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Ve({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=Eo({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=Ve({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(E)}else{let _=t.bufferSync(n),E=Af(d,_,S,b);k=t.makeTensorInfo(f,E.dtype,E.values)}return k}var PE={kernelName:Ss,backendName:\"cpu\",kernelFunc:zQ};function VQ(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.data.get(c.dataId).values,d=t.data.get(l.dataId).values,[f,h]=up(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var OE={kernelName:ma,backendName:\"cpu\",kernelFunc:VQ};function WQ(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values[0],[u,c,l]=pp(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],\"int32\",u),t.makeTensorInfo([m],\"string\",c),t.makeTensorInfo([2],\"int32\",new Int32Array(l))]}var ME={kernelName:Hi,backendName:\"cpu\",kernelFunc:WQ};function UQ(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(n<=0)throw new Error(\"Number of buckets must be at least 1\");let a=t.data.get(s.dataId).values,i=cp(a,n);return t.makeTensorInfo(s.shape,\"int32\",i)}var LE={kernelName:Ki,backendName:\"cpu\",kernelFunc:UQ};var GQ=Ie(vs,r=>Math.tan(r)),BE={kernelName:vs,backendName:\"cpu\",kernelFunc:GQ};var HQ=Ie(ks,r=>Math.tanh(r)),zE={kernelName:ks,backendName:\"cpu\",kernelFunc:HQ};function KQ(r){let{inputs:e,backend:t}=r,{tensor:o,indices:n,updates:s}=e,{sliceRank:a,numUpdates:i,sliceSize:p,strides:u,outputSize:c}=C.calculateShapes(s,n,o.shape),l=!1,m=t.bufferSync(n),d=t.bufferSync(s),f=t.bufferSync(o),h=Fs(m,d,o.shape,c,p,i,a,u,f,l);return t.makeTensorInfo(o.shape,h.dtype,h.values)}var VE={kernelName:cs,backendName:\"cpu\",kernelFunc:KQ};function qQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reps:s}=o;Y(n,\"tile\");let a=Ff(t.bufferSync(n),s);return t.makeTensorInfo(a.shape,a.dtype,a.values)}var WE={kernelName:so,backendName:\"cpu\",kernelFunc:qQ};function jQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{k:s,sorted:a}=o;Y(n,\"topk\");let i=t.data.get(n.dataId).values,[p,u]=Pf(i,n.shape,n.dtype,s,a);return[t.makeTensorInfo(p.shape,p.dtype,p.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var UE={kernelName:Ns,backendName:\"cpu\",kernelFunc:jQ};function XQ(r){let{inputs:e,attrs:t,backend:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=t,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=y.computeStrides(n.shape),b=x[0],w=x[1],S=x[2],k=y.computeStrides(g),_=k[0],E=k[1],R=k[2],D=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(g));D.fill(p);let F=o.data.get(n.dataId).values,O=o.data.get(s.dataId).values;for(let L=0;Le-1)if(e<=1)t=0;else{let o=2*e;t-=o*Math.trunc(t/o),t>=e&&(t=o-t-1)}return y.clamp(0,t,e-1)}function QQ(r,e){let t=r;if(t<0)if(e<=1)t=0;else{let o=e-1;t+=e*(Math.trunc(-t/o)+1)}else if(t>e-1)if(e<=1)t=0;else{let o=e-1;t-=e*Math.trunc(t/o)}return y.clamp(0,t,e-1)}function ZQ(r,e){return r}function JQ(r,e){return y.clamp(0,r,e-1)}function Gl(r,e,t,o,n,s,a,i,p,u,c){let l=a*o+i*n+p*s+u;return 0<=i&&it.disposeIntermediateTensorInfo(f)),d}var jE={kernelName:ji,backendName:\"cpu\",kernelFunc:n7};var s7=[C_,_T,w_,S_,AT,I_,v_,k_,N_,T_,__,$_,E_,R_,D_,F_,P_,O_,M_,b_,L_,B_,z_,FT,V_,DT,PT,W_,$T,U_,H_,K_,q_,j_,X_,Y_,Q_,Z_,J_,e$,t$,r$,o$,n$,s$,a$,i$,u$,p$,c$,l$,d$,d_,f$,OT,h$,MT,g$,LT,x$,y$,b$,BT,zT,C$,w$,S$,I$,VT,WT,ET,v$,G_,k$,N$,T$,f_,UT,GT,_$,HT,$$,E$,R$,D$,A$,F$,P$,KT,O$,M$,L$,B$,V$,W$,U$,qT,G$,H$,j$,jT,XT,X$,Y$,Q$,YT,Z$,tE,rE,Bf,oE,h_,ZT,nE,sE,aE,iE,RT,Vl,uE,g_,x_,y_,pE,cE,lE,mE,dE,fE,hE,o_,gE,yE,bE,CE,s_,wE,SE,IE,a_,K$,kE,NE,TE,_E,$E,EE,RE,DE,u_,AE,p_,c_,FE,PE,OE,ME,LE,l_,m$,BE,zE,VE,WE,UE,HE,QT,KE,qE,jE,J$];for(let r of s7)Ya(r);var _c={};He(_c,{assertNotComplex:()=>Ps,bindCanvasToFramebuffer:()=>f7,bindColorTextureToFramebuffer:()=>jl,bindTextureToProgramUniformSampler:()=>SI,bindTextureUnit:()=>ZE,bindVertexBufferToProgramAttribute:()=>Hf,callAndCheck:()=>ce,canBeRepresented:()=>cI,createFragmentShader:()=>mI,createFramebuffer:()=>bI,createProgram:()=>dI,createStaticIndexBuffer:()=>gI,createStaticVertexBuffer:()=>hI,createTexture:()=>xI,createVertexShader:()=>lI,getBatchDim:()=>di,getExtensionOrThrow:()=>kc,getFramebufferErrorMessage:()=>JE,getMaxTexturesInShader:()=>kI,getNumChannels:()=>m7,getProgramUniformLocation:()=>wI,getProgramUniformLocationOrThrow:()=>CI,getRowsCols:()=>fi,getShapeAs3D:()=>Tc,getTextureShapeFromLogicalShape:()=>II,getWebGLDisjointQueryTimerVersion:()=>NI,getWebGLErrorMessage:()=>QE,getWebGLMaxTextureSize:()=>vI,hasExtension:()=>Hr,isCapableOfRenderingToFloatTexture:()=>TI,isDownloadFloatTextureEnabled:()=>_I,isReshapeFree:()=>fu,isWebGLFenceEnabled:()=>$I,isWebGLVersionEnabled:()=>qf,linkProgram:()=>fI,logShaderSourceAndInfoLog:()=>Gf,resetMaxTextureSize:()=>h7,resetMaxTexturesInShader:()=>g7,unbindColorTextureFromFramebuffer:()=>Kf,unbindTextureUnit:()=>d7,validateFramebuffer:()=>Nc,validateProgram:()=>ql,validateTextureSize:()=>yI});var dp={},zf={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function iI(r,e){dp[r]=e}function Gr(r,e){if(!(r in dp)||e!=null){let o=i7(r,e);if(o!==null)dp[r]=o;else return console.log(\"Could not get context for WebGL version\",r),null}let t=dp[r];return t==null||t.isContextLost()?(delete dp[r],Gr(r)):(t.disable(t.DEPTH_TEST),t.disable(t.STENCIL_TEST),t.disable(t.BLEND),t.disable(t.DITHER),t.disable(t.POLYGON_OFFSET_FILL),t.disable(t.SAMPLE_COVERAGE),t.enable(t.SCISSOR_TEST),t.enable(t.CULL_FACE),t.cullFace(t.BACK),dp[r])}function a7(r){if(!P().getBool(\"IS_SAFARI\")&&typeof OffscreenCanvas!=\"undefined\"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!=\"undefined\")return document.createElement(\"canvas\");throw new Error(\"Cannot create a canvas in this context\")}function i7(r,e){if(r!==1&&r!==2)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");let t=e==null?a7(r):e;return t.addEventListener(\"webglcontextlost\",o=>{o.preventDefault(),delete dp[r]},!1),P().getBool(\"SOFTWARE_WEBGL_ENABLED\")&&(zf.failIfMajorPerformanceCaveat=!1),r===1?t.getContext(\"webgl\",zf)||t.getContext(\"experimental-webgl\",zf):t.getContext(\"webgl2\",zf)}var du;(function(r){r[r.DENSE=0]=\"DENSE\",r[r.SHARED_BATCH=1]=\"SHARED_BATCH\"})(du||(du={}));var mr;(function(r){r[r.RENDER=0]=\"RENDER\",r[r.UPLOAD=1]=\"UPLOAD\",r[r.PIXELS=2]=\"PIXELS\",r[r.DOWNLOAD=3]=\"DOWNLOAD\"})(mr||(mr={}));var er;(function(r){r[r.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",r[r.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",r[r.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",r[r.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",r[r.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"})(er||(er={}));function fp(r,e){return[e,r]}function XE(r,e){return r*e}function Hl(r){let e=y.sizeFromShape(r),t=Math.ceil(e/4);return y.sizeToSquarishShape(t)}function Ea(r,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(r/2))]}function YE(r,e){let[t,o]=Ea(r,e);return t*o*4}function Kl(r,e){let t=r,o,n,s,a,i,p,u,c,l,m;return P().getNumber(\"WEBGL_VERSION\")===2?(o=t.R32F,n=t.R16F,s=t.RGBA16F,a=t.RGBA32F,i=t.RED,u=4,c=1,l=t.HALF_FLOAT,m=t.FLOAT,p=t.RGBA8):(o=r.RGBA,n=r.RGBA,s=r.RGBA,a=t.RGBA,i=r.RGBA,u=4,c=4,l=e!=null?e.HALF_FLOAT_OES:null,m=r.FLOAT,p=r.RGBA),{internalFormatFloat:o,internalFormatHalfFloat:n,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:a,textureFormatFloat:i,downloadTextureFormat:p,downloadUnpackNumChannels:u,defaultNumChannels:c,textureTypeHalfFloat:l,textureTypeFloat:m}}function ce(r,e){let t=e();return P().getBool(\"DEBUG\")&&u7(r),t}function u7(r){let e=r.getError();if(e!==r.NO_ERROR)throw new Error(\"WebGL Error: \"+QE(r,e))}var p7=596e-10,c7=65504;function cI(r){return!!(P().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")||r===0||p7r.getExtension(e),'Extension \"'+e+'\" not supported on this browser.')}function lI(r,e){let t=mi(r,()=>r.createShader(r.VERTEX_SHADER),\"Unable to create vertex WebGLShader.\");if(ce(r,()=>r.shaderSource(t,e)),ce(r,()=>r.compileShader(t)),r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(t)),new Error(\"Failed to compile vertex shader.\");return t}function mI(r,e){let t=mi(r,()=>r.createShader(r.FRAGMENT_SHADER),\"Unable to create fragment WebGLShader.\");if(ce(r,()=>r.shaderSource(t,e)),ce(r,()=>r.compileShader(t)),P().get(\"ENGINE_COMPILE_ONLY\"))return t;if(r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw Gf(e,r.getShaderInfoLog(t)),new Error(\"Failed to compile fragment shader.\");return t}var l7=/ERROR: [0-9]+:([0-9]+):/g;function Gf(r,e){let t=l7.exec(e);if(t==null){console.log(`Couldn't parse line number in error: ${e}`),console.log(r);return}let o=+t[1],n=r.split(`\n`),s=n.length.toString().length+2,a=n.map((l,m)=>y.rightPad((m+1).toString(),s)+l),i=0;for(let l=0;lr.createProgram(),\"Unable to create WebGLProgram.\")}function fI(r,e){if(ce(r,()=>r.linkProgram(e)),!P().get(\"ENGINE_COMPILE_ONLY\")&&r.getProgramParameter(e,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error(\"Failed to link vertex and fragment shaders.\")}function ql(r,e){if(ce(r,()=>r.validateProgram(e)),r.getProgramParameter(e,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error(\"Shader program validation failed.\")}function hI(r,e){let t=mi(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),ce(r,()=>r.bufferData(r.ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function gI(r,e){let t=mi(r,()=>r.createBuffer(),\"Unable to create WebGLBuffer\");return ce(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t)),ce(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function m7(){return P().getNumber(\"WEBGL_VERSION\")===2?1:4}function xI(r){return mi(r,()=>r.createTexture(),\"Unable to create WebGLTexture.\")}function yI(r,e){let t=P().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\");if(r<=0||e<=0){let o=`[${r}x${e}]`;throw new Error(\"Requested texture size \"+o+\" is invalid.\")}if(r>t||e>t){let o=`[${r}x${e}]`,n=`[${t}x${t}]`;throw new Error(\"Requested texture size \"+o+\" greater than WebGL maximum on this browser / GPU \"+n+\".\")}}function bI(r){return mi(r,()=>r.createFramebuffer(),\"Unable to create WebGLFramebuffer.\")}function Hf(r,e,t,o,n,s,a){let i=r.getAttribLocation(e,t);return i===-1?!1:(ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,o)),ce(r,()=>r.vertexAttribPointer(i,n,r.FLOAT,!1,s,a)),ce(r,()=>r.enableVertexAttribArray(i)),!0)}function ZE(r,e,t){eR(r,t),ce(r,()=>r.activeTexture(r.TEXTURE0+t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,e))}function d7(r,e){eR(r,e),ce(r,()=>r.activeTexture(r.TEXTURE0+e)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function CI(r,e,t){return mi(r,()=>r.getUniformLocation(e,t),'uniform \"'+t+'\" not present in program.')}function wI(r,e,t){return r.getUniformLocation(e,t)}function SI(r,e,t,o){ce(r,()=>ZE(r,e,o)),ce(r,()=>r.uniform1i(t,o))}function f7(r){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),ce(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),ce(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function jl(r,e,t){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),ce(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0))}function Kf(r,e){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),ce(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function Nc(r){let e=r.checkFramebufferStatus(r.FRAMEBUFFER);if(e!==r.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+JE(r,e))}function JE(r,e){switch(e){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case r.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return`unknown error ${e}`}}function mi(r,e,t){let o=ce(r,()=>e());if(o==null)throw new Error(t);return o}function eR(r,e){let t=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,o=e+r.TEXTURE0;if(ot){let n=`[gl.TEXTURE0, gl.TEXTURE${t}]`;throw new Error(`textureUnit must be in ${n}.`)}}function di(r,e=2){return y.sizeFromShape(r.slice(0,r.length-e))}function fi(r){if(r.length===0)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function Tc(r){let e=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(e=[di(r),...fi(r)]),e}function II(r,e=!1){let t=P().getNumber(\"WEBGL_MAX_TEXTURE_SIZE\"),o=P().getNumber(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\");o===1/0&&P().getBool(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\")&&(o=t/2),e&&(t=t*2,o=o*2,r=r.map((i,p)=>p>=r.length-2?y.nearestLargerEven(r[p]):r[p]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let n=y.sizeFromShape(r),s=null;r.length<=1&&n<=t?s=[1,n]:r.length===2&&r[0]<=t&&r[1]<=t?s=r:r.length===3&&r[0]*r[1]<=t&&r[2]<=t?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=t&&r[1]*r[2]<=t?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=t&&r[3]<=t?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=t&&r[1]*r[2]*r[3]<=t&&(s=[r[0],r[1]*r[2]*r[3]]);let a=s!=null&&Math.max(...s)>o&&Math.min(...s)<=(e?2:1)&&Math.min(...s)>0;if(s==null||a)if(e){let i=di(r),p=2,u=2;r.length&&([p,u]=fi(r)),n=i*(p/2)*(u/2),s=y.sizeToSquarishShape(n).map(c=>c*2)}else s=y.sizeToSquarishShape(n);return s}function Vf(r){return r%2===0}function fu(r,e){if(r=r.slice(-2),e=e.slice(-2),y.arraysEqual(r,e)||!r.length||!e.length||r[0]===0||r[1]===0||e[0]===0||e[1]===0)return!0;if(r.length!==e.length){let t=r[r.length-1],o=e[e.length-1];if(t===o||Vf(t)&&Vf(o)&&(r[0]===1||e[0]===1))return!0}return r[1]===e[1]&&Vf(r[0])&&Vf(e[0])}var Wf,Uf;function vI(r){if(Wf==null){let e=Gr(r);Wf=e.getParameter(e.MAX_TEXTURE_SIZE)}return Wf}function h7(){Wf=null}function g7(){Uf=null}function kI(r){if(Uf==null){let e=Gr(r);Uf=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Uf)}function NI(r){if(r===0)return 0;let e,t=Gr(r);return Hr(t,\"EXT_disjoint_timer_query_webgl2\")&&r===2?e=2:Hr(t,\"EXT_disjoint_timer_query\")?e=1:e=0,e}function Hr(r,e){return r.getExtension(e)!=null}function qf(r){try{if(Gr(r)!=null)return!0}catch(e){return console.log(\"Error when getting WebGL context: \",e),!1}return!1}function TI(r){if(r===0)return!1;let e=Gr(r);if(r===1){if(!Hr(e,\"OES_texture_float\"))return!1}else if(!Hr(e,\"EXT_color_buffer_float\"))return!1;return pI(e)}function _I(r){if(r===0)return!1;let e=Gr(r);if(r===1){if(!Hr(e,\"OES_texture_float\")||!Hr(e,\"WEBGL_color_buffer_float\"))return!1}else{if(Hr(e,\"EXT_color_buffer_float\"))return pI(e);let o=\"EXT_color_buffer_half_float\";if(Hr(e,o)){let n=e.getExtension(o);return x7(e,n)}return!1}return pI(e)}function pI(r){let e=Kl(r),t=r.createTexture();r.bindTexture(r.TEXTURE_2D,t);let o=1,n=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatFloat,o,n,0,e.textureFormatFloat,e.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(t),r.deleteFramebuffer(s),a}function x7(r,e){let t=Kl(r,e),o=r.createTexture();r.bindTexture(r.TEXTURE_2D,o);let n=1,s=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatHalfFloat,n,s,0,t.textureFormatFloat,t.textureTypeHalfFloat,null);let a=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,a),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,o,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(o),r.deleteFramebuffer(a),i}function $I(r){return r!==2?!1:Gr(r).fenceSync!=null}function Ps(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the WebGL backend.`)})}var Se=P();Se.registerFlag(\"HAS_WEBGL\",()=>Se.getNumber(\"WEBGL_VERSION\")>0);Se.registerFlag(\"WEBGL_VERSION\",()=>qf(2)?2:qf(1)?1:0);Se.registerFlag(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\",()=>!1);Se.registerFlag(\"WEBGL_BUFFER_SUPPORTED\",()=>Se.get(\"WEBGL_VERSION\")===2);Se.registerFlag(\"WEBGL_CPU_FORWARD\",()=>!0);Se.registerFlag(\"WEBGL_FORCE_F16_TEXTURES\",()=>!1);Se.registerFlag(\"WEBGL_PACK\",()=>Se.getBool(\"HAS_WEBGL\"));Se.registerFlag(\"WEBGL_PACK_NORMALIZATION\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_CLIP\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_DEPTHWISECONV\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_BINARY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_UNARY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_ARRAY_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_IMAGE_OPERATIONS\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_PACK_REDUCE\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_LAZILY_UNPACK\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_CONV_IM2COL\",()=>Se.getBool(\"WEBGL_PACK\"));Se.registerFlag(\"WEBGL_MAX_TEXTURE_SIZE\",()=>vI(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_MAX_TEXTURES_IN_SHADER\",()=>kI(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",()=>{let r=Se.getNumber(\"WEBGL_VERSION\");return r===0?0:NI(r)});Se.registerFlag(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",()=>Se.getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!Zi.isMobile());Se.registerFlag(\"WEBGL_RENDER_FLOAT32_CAPABLE\",()=>TI(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_RENDER_FLOAT32_ENABLED\",()=>Se.getBool(\"WEBGL_FORCE_F16_TEXTURES\")?!1:Se.getBool(\"WEBGL_RENDER_FLOAT32_CAPABLE\"));Se.registerFlag(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",()=>_I(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_FENCE_API_ENABLED\",()=>$I(Se.getNumber(\"WEBGL_VERSION\")));Se.registerFlag(\"WEBGL_SIZE_UPLOAD_UNIFORM\",()=>Se.getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0);Se.registerFlag(\"WEBGL_DELETE_TEXTURE_THRESHOLD\",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Se.registerFlag(\"WEBGL_FLUSH_THRESHOLD\",()=>Zi.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Se.registerFlag(\"CPU_HANDOFF_SIZE_THRESHOLD\",()=>128);Se.registerFlag(\"WEBGL_USE_SHAPES_UNIFORMS\",()=>!1);Se.registerFlag(\"TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e5);Se.registerFlag(\"TOPK_K_CPU_HANDOFF_THRESHOLD\",()=>128);Se.registerFlag(\"WEBGL_EXP_CONV\",()=>!1);Se.registerFlag(\"SOFTWARE_WEBGL_ENABLED\",()=>Se.getBool(\"IS_TEST\"));Se.registerFlag(\"WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE\",()=>1/0);Se.registerFlag(\"WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE\",()=>!1);Se.registerFlag(\"WEBGL2_ISNAN_CUSTOM\",()=>!1);Se.registerFlag(\"ENGINE_COMPILE_ONLY\",()=>!1);function It(){let r,e,t,o,n,s,a,i,p,u;return P().getNumber(\"WEBGL_VERSION\")===2?(r=\"#version 300 es\",e=\"in\",t=\"out\",o=\"in\",n=\"texture\",s=\"outputColor\",a=\"out vec4 outputColor;\",i=P().getBool(\"WEBGL2_ISNAN_CUSTOM\")?`\n bool isnan_custom(float val) {\n uint floatToUint = floatBitsToUint(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan_custom(val.x),\n isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n }\n\n #define isnan(value) isnan_custom(value)\n `:\"\",p=\"\",u=`\n #define round(value) newRound(value)\n int newRound(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 newRound(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `):(r=\"\",e=\"attribute\",t=\"varying\",o=\"varying\",n=\"texture2D\",s=\"gl_FragColor\",a=\"\",i=`\n #define isnan(value) isnan_custom(value)\n bool isnan_custom(float val) {\n return (val > 0. || val < 1. || val == 0.) ? false : true;\n }\n bvec4 isnan_custom(vec4 val) {\n return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n }\n `,p=`\n uniform float INFINITY;\n\n bool isinf(float val) {\n return abs(val) == INFINITY;\n }\n bvec4 isinf(vec4 val) {\n return equal(abs(val), vec4(INFINITY));\n }\n `,u=`\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n ivec4 round(vec4 value) {\n return ivec4(floor(value + vec4(0.5)));\n }\n `),{version:r,attribute:e,varyingVs:t,varyingFs:o,texture2D:n,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:p,defineRound:u}}function Os(r,e,t=\"index\"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / ${n}`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${n}`:`index -= ${r[s]} * ${n}`;return`${a}; ${i};`}).join(\"\")}function hp(r,e,t=\"index\"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / outShapeStrides[${s}]`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${a}; ${i};`}).join(\"\")}function y7(r,e){let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}function tR(r,e,t=\"index\"){let o=r.map((s,a)=>a),n=y7(o,e);return n.map((s,a)=>{let i=`int ${r[a]} = ${t} / ${n[a]}`,p=a===n.length-1?`int ${r[a+1]} = ${t} - ${r[a]} * ${n[a]}`:`index -= ${r[a]} * ${n[a]}`;return`${i}; ${p};`}).join(\"\")}function $c(r){let e=y.computeStrides(r).map(t=>t.toString());return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z;\n }\n`}function Ec(){return`\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n`}var jf=`\n const float FLOAT_MAX = 1.70141184e38;\n const float FLOAT_MIN = 1.17549435e-38;\n\n lowp vec4 encode_float(highp float v) {\n if (isnan(v)) {\n return vec4(255, 255, 255, 255);\n }\n\n highp float av = abs(v);\n\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n highp float e = floor(log2(av));\n highp float m = exp2(fract(log2(av))) - 1.0;\n\n c[2] = floor(128.0 * m);\n m -= c[2] / 128.0;\n c[1] = floor(32768.0 * m);\n m -= c[1] / 32768.0;\n c[0] = floor(8388608.0 * m);\n\n highp float ebias = e + 127.0;\n c[3] = floor(ebias / 2.0);\n ebias -= c[3] * 2.0;\n c[2] += floor(ebias) * 128.0;\n\n c[3] += 128.0 * step(0.0, -v);\n\n return c / 255.0;\n }\n`;var{getBroadcastDims:rR}=C;function oR(r,e,t){let o=[];if(r.forEach(d=>{let f=y.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?o.push(`uniform float ${d.name}${f>1?`[${f}]`:\"\"};`):(o.push(`uniform sampler2D ${d.name};`),o.push(`uniform int offset${d.name};`)),t.enableShapeUniforms){let{uniformShape:h}=Xf(t.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(h.length){case 1:o.push(`uniform int ${d.name}Shape;`);break;case 2:o.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:o.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:o.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}o.push(`uniform ivec2 ${d.name}TexShape;`)}}),t.enableShapeUniforms){switch(e.logicalShape.length){case 1:o.push(\"uniform int outShape;\");break;case 2:o.push(\"uniform ivec2 outShape;\"),o.push(\"uniform int outShapeStrides;\");break;case 3:o.push(\"uniform ivec3 outShape;\"),o.push(\"uniform ivec2 outShapeStrides;\");break;case 4:o.push(\"uniform ivec4 outShape;\"),o.push(\"uniform ivec3 outShapeStrides;\");break;default:break}o.push(\"uniform ivec2 outTexShape;\")}t.customUniforms&&t.customUniforms.forEach(d=>{o.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:\"\"};`)});let n=o.join(`\n`),s=r.map(d=>b7(d,e,t.packedInputs,t.enableShapeUniforms)).join(`\n`),a=e.texShape,i=It(),p=S7(i),u,c,l=k7(i);return e.isPacked?(u=C7(e.logicalShape,a,t.enableShapeUniforms),c=v7(i)):(u=w7(e.logicalShape,a,t.enableShapeUniforms),c=I7(i)),t.packedInputs&&(l+=$7),[l,p,c,n,u,s,t.userCode].join(`\n`)}function Dc(r,e=!1){let t=r.shapeInfo.logicalShape;switch(t.length){case 0:return V7(r,e);case 1:return U7(r,e);case 2:return H7(r,e);case 3:return q7(r,e);case 4:return X7(r,e);case 5:return Y7(r);case 6:return Q7(r);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function nR(r,e){switch(r.shapeInfo.logicalShape.length){case 0:return z7(r);case 1:return W7(r,e);case 2:return G7(r,e);case 3:return K7(r,e);default:return j7(r,e)}}function b7(r,e,t=!1,o){let n=\"\";t?n+=nR(r,o):n+=Dc(r,o);let s=r.shapeInfo.logicalShape,a=e.logicalShape;return s.length<=a.length&&(t?n+=Z7(r,e):n+=J7(r,e)),n}function C7(r,e,t){switch(r.length){case 0:return sR();case 1:return E7(r,e,t);case 2:return L7(r,e,t);case 3:return D7(r,e,t);default:return F7(r,e,t)}}function w7(r,e,t){switch(r.length){case 0:return sR();case 1:return R7(r,e,t);case 2:return B7(r,e,t);case 3:return A7(r,e,t);case 4:return P7(r,e,t);case 5:return O7(r,e);case 6:return M7(r,e);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function S7(r){return`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${r.texture2D}(textureSampler, uv).r;\n }\n `}function I7(r){return`\n void setOutput(float val) {\n ${r.output} = vec4(val, 0, 0, 0);\n }\n `}function v7(r){return`\n void setOutput(vec4 val) {\n ${r.output} = val;\n }\n `}function k7(r){return`${r.version}\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ${r.varyingFs} vec2 resultUV;\n ${r.defineOutput}\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ${r.defineSpecialNaN}\n ${r.defineSpecialInf}\n ${r.defineRound}\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign < 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${N7}\n ${T7}\n ${_7}\n `}var N7=`\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n int texelIndex = index / 2;\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,T7=`\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n int texNumC, int row, int col) {\n int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = texelIndex / texNumC;\n int texC = texelIndex - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,_7=`\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n int texelsInBatch, int texelsInLogicalRow, int b,\n int row, int col) {\n int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n int texR = index / texNumC;\n int texC = index - texR * texNumC;\n return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`,$7=`\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return modCoord.x == 0. ?\n (modCoord.y == 0. ? frag.r : frag.g) :\n (modCoord.y == 0. ? frag.b : frag.a);\n }\n float getChannel(vec4 frag, int dim) {\n float modCoord = mod(float(dim), 2.);\n return modCoord == 0. ? frag.r : frag.g;\n }\n`;function sR(){return`\n int getOutputCoords() {\n return 0;\n }\n `}function E7(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return o[0]===1?t?`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.x * ${o[1]}.0);\n }\n `:o[1]===1?t?`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n `:`\n int getOutputCoords() {\n return 2 * int(resultUV.y * ${o[0]}.0);\n }\n `:t?`\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${o[0]}, ${o[1]}));\n return 2 * (resTexRC.x * ${o[1]} + resTexRC.y);\n }\n `}function R7(r,e,t){return e[0]===1?t?`\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.x * ${e[1]}.0);\n }\n `:e[1]===1?t?`\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n `:`\n int getOutputCoords() {\n return int(resultUV.y * ${e[0]}.0);\n }\n `:t?`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n `:`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n return resTexRC.x * ${e[1]} + resTexRC.y;\n }\n `}function D7(r,e,t){if(t)return`\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n `;let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[2]/2),s=n*Math.ceil(r[1]/2);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${o[0]}, ${o[1]}));\n int index = resTexRC.x * ${o[1]} + resTexRC.y;\n\n int b = index / ${s};\n index -= b * ${s};\n\n int r = 2 * (index / ${n});\n int c = imod(index, ${n}) * 2;\n\n return ivec3(b, r, c);\n }\n `}function A7(r,e,t){if(t)return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ${hp([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n`;let o=Os([\"r\",\"c\",\"d\"],r);return`\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(${e[0]}, ${e[1]}));\n int index = resTexRC.x * ${e[1]} + resTexRC.y;\n ${o}\n return ivec3(r, c, d);\n }\n `}function F7(r,e,t){if(t)return`\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n `;let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[r.length-1]/2),s=n*Math.ceil(r[r.length-2]/2),a=s,i=\"\",p=\"b, r, c\";for(let u=2;u=1?c=\"coords = 0;\":c=i.map(b=>`coords.${l[b+u]} = 0;`).join(`\n`);let m=\"\";a<2&&s>0?m=\"coords\":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${l[w+u]}`).join(\", \");let d=\"return outputValue;\",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(e.logicalShape)===1;if(s===1&&!h&&!x)d=`\n return vec4(outputValue.xy, outputValue.xy);\n `;else if(h&&!x)a===1?d=`\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n `:d=`\n return vec4(outputValue.x);\n `;else if(i.length){let b=s-2,w=s-1;i.indexOf(b)>-1&&i.indexOf(w)>-1?d=\"return vec4(outputValue.x);\":i.indexOf(b)>-1?d=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":i.indexOf(w)>-1&&(d=\"return vec4(outputValue.xx, outputValue.zz);\")}return`\n vec4 ${n}() {\n ${p} coords = getOutputCoords();\n ${c}\n vec4 outputValue = get${o}(${m});\n ${d}\n }\n `}function J7(r,e){let t=r.name,o=t.charAt(0).toUpperCase()+t.slice(1),n=\"get\"+o+\"AtOutCoords\",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,p=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===p&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return`\n float ${n}() {\n return sampleTexture(${t}, resultUV);\n }\n `;let u=Re(p),c=rR(r.shapeInfo.logicalShape,e.logicalShape),l=p-i,m,d=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];i===0?m=\"\":p<2&&c.length>=1?m=\"coords = 0;\":m=c.map(h=>`coords.${d[h+l]} = 0;`).join(`\n`);let f=\"\";return p<2&&i>0?f=\"coords\":f=r.shapeInfo.logicalShape.map((h,g)=>`coords.${d[g+l]}`).join(\", \"),`\n float ${n}() {\n ${u} coords = getOutputCoords();\n ${m}\n return get${o}(${f});\n }\n `}function Re(r){if(r<=1)return\"int\";if(r===2)return\"ivec2\";if(r===3)return\"ivec3\";if(r===4)return\"ivec4\";if(r===5)return\"ivec5\";if(r===6)return\"ivec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Xf(r,e,t){let{newShape:o,keptDims:n}=y.squeezeShape(e),s=e.length,a=r&&s===3&&e[0]===1,i=a?e.slice(1):o,p=!r&&s>1&&!y.arraysEqual(e,t)&&o.lengthr[t]).join(\", \")}function iR(r,e,t,o){let n=t.map((c,l)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:e.variableNames[l],shapeInfo:m}}),s=n.map(c=>c.shapeInfo),a={logicalShape:o.shape,texShape:o.texData.texShape,isUniform:!1,isPacked:o.texData.isPacked,flatOffset:null},i=oR(n,a,e),p=mI(r.gl,i),u=r.createProgram(p);return P().get(\"ENGINE_COMPILE_ONLY\")?{program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(r.buildVao(u),Object.assign({program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a},EI(r,e,u)))}function EI(r,e,t){let o=[],n=[],s,a,i,p=null,u=null;u=r.getUniformLocation(t,\"NAN\",!1),P().getNumber(\"WEBGL_VERSION\")===1&&(p=r.getUniformLocation(t,\"INFINITY\",!1));let c=!1;for(let l of e.variableNames){let m={name:l,uniform:r.getUniformLocation(t,l,c),offset:r.getUniformLocation(t,`offset${l}`,c)};e.enableShapeUniforms&&(m.shape=r.getUniformLocation(t,`${l}Shape`,c),m.texShape=r.getUniformLocation(t,`${l}TexShape`,c)),o.push(m)}if(e.enableShapeUniforms&&(s=r.getUniformLocation(t,\"outShape\",c),i=r.getUniformLocation(t,\"outShapeStrides\",c),a=r.getUniformLocation(t,\"outTexShape\",c)),e.customUniforms)for(let l of e.customUniforms)n.push(r.getUniformLocation(t,l.name,c));return{variablesLocations:o,customUniformLocations:n,infLoc:p,nanLoc:u,outShapeLocation:s,outShapeStridesLocation:i,outTexShapeLocation:a}}function aR(r,e){if(r.length!==e.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${e.length} inputs`);r.forEach((t,o)=>{let n=t.logicalShape,s=e[o],a=s.shape;if(!y.arraysEqual(n,a))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${n} and ${a} must match`);if(t.isUniform&&s.isUniform)return;let i=t.texShape,p=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(i,p))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${p} must match`)})}function uR(r,e,t,o,n){e.program.enableShapeUniforms||(aR(e.inShapeInfos,t),aR([e.outShapeInfo],[o]));let s=o.texData.texture,a=o.texData.texShape;o.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,a[0],a[1]):r.setOutputMatrixTexture(s.texture,a[0],a[1]),r.setProgram(e.webGLProgram),r.bindVertexArray(e.webGLProgram.vao),P().getNumber(\"WEBGL_VERSION\")===1&&e.infLoc!==null&&r.gl.uniform1f(e.infLoc,1/0),e.nanLoc!==null&&r.gl.uniform1f(e.nanLoc,NaN);for(let p=0;p{let i=a.texData!=null&&a.texData.slice!=null&&a.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!a.isUniform){let p=a.texData.texShape,{useSqueezeShape:u,uniformShape:c,keptDims:l}=Xf(r.packedInputs,a.shape,p),m=\"\",d=\"\",f=\"\";if(c.length===1&&r.packedInputs){let k=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];m=`${k[0]>1}_${k[1]>1}`}else if(c.length===2&&!r.packedInputs)d=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let k=y.computeStrides(c);f=`${k[0]===p[1]}_${k[k.length-1]===p[1]}`}let h=a.shape.length,g=c.length===2&&y.arraysEqual(a.shape,p),x=y.sizeFromShape(a.shape)===1,b=C.getBroadcastDims(a.shape,t.shape),w=!r.packedInputs&&h===t.shape.length&&y.arraysEqual(p,t.texData.texShape),S=r.packedInputs||c.length>2?\"\":`${p[0]>1}_${p[1]>1}`;o+=`${h}_${w}_${u?l:\"\"}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${S}_${i}`}else{let p=a.isUniform?\"uniform\":a.texData.texShape;o+=`${a.shape}_${p}_${i}`}});let n=r.userCode,s=r.constructor.name;return s+=\"_\"+o+\"_\"+n+`${P().getNumber(\"WEBGL_VERSION\")}`,s}function ut(r){return P().getBool(\"WEBGL_USE_SHAPES_UNIFORMS\")&&r<=4}var Yf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=du.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let t=It();this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?hp([\"r\",\"c\",\"d\"],e):Os([\"r\",\"c\",\"d\"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n ${t.output} = result;\n }\n `}};var Qf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=du.DENSE,this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let t=It();this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=`\n ivec3 outCoordsFromFlatIndex(int index) {\n ${this.enableShapeUniforms?hp([\"r\",\"c\",\"d\"],e):Os([\"r\",\"c\",\"d\"],e)}\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n ${t.output} = result;\n }\n `}};var Zf=class{constructor(e){this.variableNames=[\"A\"],this.outTexUsage=mr.DOWNLOAD;let t=It();this.outputShape=e,this.userCode=`\n ${jf}\n\n void main() {\n float x = getAAtOutCoords();\n ${t.output} = encode_float(x);\n }\n `}};var Jf=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=mr.DOWNLOAD;let t=It();this.outputShape=e,this.userCode=`\n ${jf}\n\n void main() {\n ivec3 coords = getOutputCoords();\n float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n ${t.output} = encode_float(x);\n }\n `}};var rZ={R:0,G:1,B:2,A:3},Xl=class{constructor(e,t=!1,o=\"RGBA\"){this.variableNames=[\"A\"],this.customUniforms=[{name:\"texShape\",type:\"ivec2\"}];let n=It();this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length);let s=\"result\";t&&(s=\"floor(result * 255. + 0.5)\");let a=\"\";for(let i=0;iBI,createBufferFromOutputTexture:()=>WI,createFloat16MatrixTexture:()=>PI,createFloat16PackedMatrixTexture:()=>LI,createFloat32MatrixTexture:()=>FI,createIndexBuffer:()=>AI,createPackedMatrixTexture:()=>MI,createUnsignedBytesMatrixTexture:()=>OI,createVertexBuffer:()=>DI,createVertexShader:()=>RI,downloadByteEncodedFloatMatrixFromOutputTexture:()=>GI,downloadFloat32MatrixFromBuffer:()=>UI,downloadMatrixFromPackedOutputTexture:()=>KI,downloadPackedMatrixFromBuffer:()=>HI,getInternalFormatForFloat16MatrixTexture:()=>rh,getInternalFormatForFloat16PackedMatrixTexture:()=>sh,getInternalFormatForFloat32MatrixTexture:()=>th,getInternalFormatForPackedMatrixTexture:()=>nh,getInternalFormatForUnsignedBytesMatrixTexture:()=>oh,uploadDenseMatrixToTexture:()=>zI,uploadPixelDataToTexture:()=>VI});function RI(r){let e=It(),t=`${e.version}\n precision highp float;\n ${e.attribute} vec3 clipSpacePos;\n ${e.attribute} vec2 uv;\n ${e.varyingVs} vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }`;return lI(r,t)}function DI(r){let e=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return hI(r,e)}function AI(r){let e=new Uint16Array([0,1,2,2,1,3]);return gI(r,e)}function Yl(r,e,t,o,n,s){yI(e,t);let a=xI(r),i=r.TEXTURE_2D;return ce(r,()=>r.bindTexture(i,a)),ce(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),ce(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),ce(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),ce(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),P().getNumber(\"WEBGL_VERSION\")===1?ce(r,()=>r.texImage2D(i,0,o,e,t,0,n,s,null)):ce(r,()=>r.texStorage2D(i,1,o,e,t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:a,texShape:[t,e]}}function th(r){return r.internalFormatFloat}function FI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,th(o),o.textureFormatFloat,r.FLOAT)}function rh(r){return r.internalFormatHalfFloat}function PI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,rh(o),o.textureFormatFloat,o.textureTypeHalfFloat)}function oh(r){return r.downloadTextureFormat}function OI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,oh(o),r.RGBA,r.UNSIGNED_BYTE)}function nh(r){return r.internalFormatPackedFloat}function MI(r,e,t,o){let[n,s]=Ea(e,t);return Yl(r,n,s,nh(o),r.RGBA,r.FLOAT)}function sh(r){return r.internalFormatPackedHalfFloat}function LI(r,e,t,o){let[n,s]=Ea(e,t);return Yl(r,n,s,sh(o),r.RGBA,o.textureTypeHalfFloat)}function BI(r,e,t){return ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Hf(r,e,\"clipSpacePos\",t,3,20,0)&&Hf(r,e,\"uv\",t,2,20,12)}function zI(r,e,t,o,n,s){ce(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,p;n instanceof Uint8Array?(a=new Uint8Array(t*o*4),i=r.UNSIGNED_BYTE,p=r.RGBA):(a=new Float32Array(t*o*4),i=r.FLOAT,p=s.internalFormatPackedFloat),a.set(n),P().getNumber(\"WEBGL_VERSION\")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t,o,r.RGBA,i,a)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,p,t,o,0,r.RGBA,i,a)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function VI(r,e,t){ce(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?P().getNumber(\"WEBGL_VERSION\")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t.width,t.height,r.RGBA,r.UNSIGNED_BYTE,t.data)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):P().getNumber(\"WEBGL_VERSION\")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,t)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function WI(r,e,t,o){let n=r.createBuffer();ce(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,n));let i=4*4*e*t;return ce(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),ce(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),ce(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),n}function UI(r,e,t){let o=r,n=new Float32Array(t);return o.bindBuffer(o.PIXEL_PACK_BUFFER,e),o.getBufferSubData(o.PIXEL_PACK_BUFFER,0,n),o.bindBuffer(o.PIXEL_PACK_BUFFER,null),n}function GI(r,e,t,o){let[n,s]=fp(e,t),a=4,i=new Uint8Array(XE(e*t,a));return ce(r,()=>r.readPixels(0,0,n,s,o.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function HI(r,e,t,o,n,s,a,i){let p=r,u=new Float32Array(YE(s,a));return p.bindBuffer(p.PIXEL_PACK_BUFFER,e),p.getBufferSubData(p.PIXEL_PACK_BUFFER,0,u),p.bindBuffer(p.PIXEL_PACK_BUFFER,null),u}function KI(r,e,t){let o=new Float32Array(e*t*4);return ce(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,o)),o}var xp=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=P().getNumber(\"WEBGL_VERSION\");if(e!=null?(this.gl=e,iI(t,e)):this.gl=Gr(t),e=this.gl,P().getNumber(\"WEBGL_VERSION\")===2){let s=e;this.createVertexArray=()=>ce(s,()=>s.createVertexArray()),this.bindVertexArray=a=>ce(s,()=>s.bindVertexArray(a)),this.deleteVertexArray=a=>ce(s,()=>s.deleteVertexArray(a)),this.getVertexArray=()=>ce(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(e!=null){let s=e.getExtension(\"OES_vertex_array_object\");if(s==null)throw new Error(\"All WebGL1 implementations are expected to offer OES_vertex_array_object.\");this.createVertexArray=()=>ce(e,()=>s.createVertexArrayOES()),this.bindVertexArray=a=>ce(e,()=>s.bindVertexArrayOES(a)),this.deleteVertexArray=a=>ce(e,()=>s.deleteVertexArrayOES(a)),this.getVertexArray=()=>ce(e,()=>e.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let o=\"WEBGL_color_buffer_float\",n=\"EXT_color_buffer_half_float\";if(this.parallelCompilationExtension=this.gl.getExtension(\"KHR_parallel_shader_compile\"),P().getNumber(\"WEBGL_VERSION\")===1){let s=\"OES_texture_float\",a=\"OES_texture_half_float\";if(this.textureFloatExtension=kc(this.gl,s),Hr(this.gl,a))this.textureHalfFloatExtension=kc(this.gl,a);else if(P().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\");if(this.colorBufferFloatExtension=this.gl.getExtension(o),Hr(this.gl,n))this.colorBufferHalfFloatExtension=kc(this.gl,n);else if(P().get(\"WEBGL_FORCE_F16_TEXTURES\"))throw new Error(\"GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.\")}else if(o=\"EXT_color_buffer_float\",Hr(this.gl,o))this.colorBufferFloatExtension=this.gl.getExtension(o);else if(Hr(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error(\"GL context does not support color renderable floats\");this.vertexBuffer=DI(this.gl),this.indexBuffer=AI(this.gl),this.framebuffer=bI(this.gl),this.textureConfig=Kl(this.gl,this.textureHalfFloatExtension)}get debug(){return P().getBool(\"DEBUG\")}dispose(){if(this.disposed)return;this.program!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),this.outputTexture!=null&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");let e=this.gl;ce(e,()=>e.finish()),ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ce(e,()=>e.deleteFramebuffer(this.framebuffer)),ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),ce(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),ce(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),FI(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),PI(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),OI(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),VI(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,o,n){this.throwIfDisposed(),zI(this.gl,e,t,o,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),LI(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),MI(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(Kf(this.gl,this.framebuffer),this.outputTexture=null),ce(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,o){return this.downloadMatrixDriver(e,()=>GI(this.gl,t,o,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,o,n,s,a){return HI(this.gl,e,t,o,n,s,a,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return UI(this.gl,e,t)}createBufferFromTexture(e,t,o){this.bindTextureToFrameBuffer(e);let n=WI(this.gl,t,o,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,o;if(P().getBool(\"WEBGL_FENCE_API_ENABLED\")){let n=e,s=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),o=()=>{let a=n.clientWaitSync(s,0,0);return a===n.ALREADY_SIGNALED||a===n.CONDITION_SATISFIED},t=s}else P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),o=()=>this.isQueryAvailable(t,P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))):o=()=>!0;return{query:t,isFencePassed:o}}downloadMatrixFromPackedTexture(e,t,o){return this.downloadMatrixDriver(e,()=>KI(this.gl,t,o))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=RI(t));let o=dI(t);ce(t,()=>t.attachShader(o,this.vertexShader)),ce(t,()=>t.attachShader(o,e)),fI(t,o);let n=Object.assign(o,{vao:this.createVertexArray()});return this.debug&&ql(t,n),n}buildVao(e){this.setProgram(e),this.bindVertexArray(e.vao);let t=this.gl;ce(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),BI(t,e,this.vertexBuffer)}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(ce(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&ql(this.gl,this.program),ce(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,o=!0){return this.throwIfDisposed(),o?CI(this.gl,e,t):wI(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),ce(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,o){this.throwIfDisposed(),this.throwIfNoProgram(),SI(this.gl,e,t,o)}setOutputMatrixTexture(e,t,o){this.setOutputMatrixTextureDriver(e,o,t)}setOutputPackedMatrixTexture(e,t,o){this.throwIfDisposed();let[n,s]=Ea(t,o);this.setOutputMatrixTextureDriver(e,n,s)}setOutputMatrixWriteRegion(e,t,o,n){this.setOutputMatrixWriteRegionDriver(o,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,o,n){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")}debugValidate(){this.program!=null&&ql(this.gl,this.program),Nc(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,\"VAO changed between setProgram and executeProgram!\"),this.debugValidate()}ce(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ce(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=kc(this.gl,P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.createQuery();return o.beginQuery(n.TIME_ELAPSED_EXT,s),s}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")===2){let t=this.gl,o=this.getQueryTimerExtensionWebGL2();t.endQuery(o.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))),this.getQueryTime(e,P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let o=this.gl;return o.getQueryParameter(e,o.QUERY_RESULT)/1e6}else{let o=this.getQueryTimerExtensionWebGL1();return o.getQueryObjectEXT(e,o.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.getQueryParameter(e,o.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let o=this.getQueryTimerExtensionWebGL1(),n=o.getQueryObjectEXT(e,o.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=oZ(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:o}=this.itemsToPoll[t];o()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let o;\"setTimeoutCustom\"in P().platform&&(o=P().platform.setTimeoutCustom.bind(P().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,o)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),jl(this.gl,e,this.framebuffer),this.debug&&Nc(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(jl(this.gl,this.outputTexture,this.framebuffer),this.debug&&Nc(this.gl)):Kf(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let o=t();return this.unbindTextureToFrameBuffer(),o}setOutputMatrixTextureDriver(e,t,o){this.throwIfDisposed();let n=this.gl;jl(n,e,this.framebuffer),this.debug&&Nc(n),this.outputTexture=e,ce(n,()=>n.viewport(0,0,t,o)),ce(n,()=>n.scissor(0,0,t,o))}setOutputMatrixWriteRegionDriver(e,t,o,n){this.throwIfDisposed(),ce(this.gl,()=>this.gl.scissor(e,t,o,n))}throwIfDisposed(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")}throwIfNoProgram(){if(this.program==null)throw new Error(\"No GPU program is currently set.\")}};function oZ(r){let e=0;for(;e`${r}.${t}`)}function Rt(r,e){return e===1?[r]:jI(r,e)}function eD(r,e){if(r===1)return\"rc\";let t=\"\";for(let o=0;o ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]}`;let t=\"\";for(let o=this.rank-2;o= ${this.enableShapeUniforms?`outShape[${o}]`:this.outputShape[o]}`,o= ${o};\n bool rEdge = rp1 >= ${n};\n `}getOutput(e){let t=this.getSourceCoordsArr(e);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?\"outShape\":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}),\n cEdge ? 0. : getA(${t[1]}),\n rEdge ? 0. : getA(${t[2]}),\n rEdge || cEdge ? 0. : getA(${t[3]})`}};var Oc=class{constructor(e,t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"inputShape\",type:\"ivec3\"}],this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length);let o=\"\";for(let n=0;n<4;n++){let s=\"thisRC = rc;\";n%2===1&&(s+=\"thisRC.z += 1;\"),n>1&&(s+=\"thisRC.y += 1;\"),o+=`\n ${s}\n ${n>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\"}\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[${n}] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ${n>0?\"}\":\"\"}\n `}this.userCode=`\n ${nZ(t,this.enableShapeUniforms)}\n ${this.enableShapeUniforms?Ec():$c(e)}\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ${this.enableShapeUniforms?\"outShape[1]\":e[1]};\n int cols = ${this.enableShapeUniforms?\"outShape[2]\":e[2]};\n\n ${o}\n\n setOutput(result);\n }\n `}};function nZ(r,e){return`\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ${e?tR([\"r\",\"c\",\"d\"],\"inputShape\"):Os([\"r\",\"c\",\"d\"],r)}\n return ivec3(r, c, d);\n }\n `}var ch=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}acquireTexture(e,t,o){let n=rD(t,o),s=oD(e,n,o);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=tD(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,o);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let p=this.freeTextures[s].pop();return this.usedTextures[s].push(p),p}let i;return n===er.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===er.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===er.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===er.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===er.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,o,n){if(this.freeTextures==null)return;let s=rD(o,n),a=oD(t,s,n);a in this.freeTextures||(this.freeTextures[a]=[]);let i=tD(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,n),p=P().get(\"WEBGL_DELETE_TEXTURE_THRESHOLD\");p!==-1&&this._numBytesAllocated>p?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u&&u.indexOf(e);if(c==null||c<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");u[c]=u[u.length-1],u.pop(),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function sZ(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;if(e===t.RGBA8)return 4;throw new Error(`Unknown internal format ${e}`)}function tD(r,e,t,o,n){let s=aZ(e,o),a;if(n){let[p,u]=Ea(r[0],r[1]);a=p*u}else{let[p,u]=fp(r[0],r[1]);a=p*u}let i=sZ(t,s);return a*i}function aZ(r,e){switch(r){case er.PACKED_2X2_FLOAT32:return nh(e);case er.PACKED_2X2_FLOAT16:return sh(e);case er.UNPACKED_FLOAT32:return th(e);case er.UNPACKED_FLOAT16:return rh(e);case er.PACKED_4X1_UNSIGNED_BYTE:return oh(e);default:throw new Error(`Unknown physical texture type ${r}`)}}function iZ(r){return P().getBool(\"WEBGL_RENDER_FLOAT32_ENABLED\")?r?er.PACKED_2X2_FLOAT32:er.UNPACKED_FLOAT32:r?er.PACKED_2X2_FLOAT16:er.UNPACKED_FLOAT16}function rD(r,e){if(r===mr.UPLOAD)return er.PACKED_2X2_FLOAT32;if(r===mr.RENDER||r==null)return iZ(e);if(r===mr.DOWNLOAD||r===mr.PIXELS)return er.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function oD(r,e,t){return`${r[0]}_${r[1]}_${e}_${t}`}var tr=class{constructor(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=`\n float unaryOperation(float x) {\n ${t}\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n `}},Ut=\"if (isnan(x)) return x;\",nD=\"return x;\",XI=\"return abs(x);\";var sD=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",aD=Ut+`\n return (x < 0.0) ? 0.0 : x;\n`,iD=Ut+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Ra=\"return x;\",uD=\"return 1.0 / (1.0 + exp(-1.0 * x));\";var cD=\"return x;\",lD=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,mD=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,dD=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,fD=\"return 1.0 / (1.0 + exp(-1.0 * x));\",Ar=class{constructor(e,t){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=`\n vec4 unaryOperation(vec4 x) {\n ${t}\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n `}};var lh=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length);let t=e.length,o=Rt(\"rc\",t),n=Re(t),s=eD(t,o),a=o.slice(-2),i=t<=1?\"rc\":`vec2(${a.join(\",\")})`;this.userCode=`\n void main() {\n ${n} rc = getOutputCoords();\n vec4 packedInput = getA(${s});\n\n setOutput(getChannel(packedInput, ${i}));\n }\n `}};var pZ=Wt.whereImpl,cZ=1e-7,lZ=1e-4,mh={};function mZ(r){return r in mh||(mh[r]={}),mh[r]}var dZ=P().getNumber(\"CPU_HANDOFF_SIZE_THRESHOLD\"),fZ=600;function hZ(){return P().global.screen==null?1024:P().global.screen.height*P().global.screen.width*window.devicePixelRatio*fZ/1024/1024}var hu=class extends ro{nextDataId(){return hu.nextDataId++}constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!P().getBool(\"HAS_WEBGL\"))throw new Error(\"WebGL is not supported on this device\");let t;if(e!=null){if(e instanceof xp)t=e;else{let o=Gr(P().getNumber(\"WEBGL_VERSION\"),e);t=new xp(o)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let o=Gr(P().getNumber(\"WEBGL_VERSION\"));t=new xp(o),this.binaryCache=mZ(P().getNumber(\"WEBGL_VERSION\")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new ch(this.gpgpu),this.numMBBeforeWarning=hZ(),this.texData=new Lo(this,ur())}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,o,n,s,a){let i=this.makeTensorInfo(t,o),p=this.texData.get(i.dataId);p.isPacked=!1,p.texture={texture:e,texShape:[n,s]},p.texShape=[n,s];let u=Tc(t),c=new Xl(u,!1,a),l=this.runWebGLProgram(c,[i],o,[[n,s]]);return l.shape=t,p.texture=null,this.disposeIntermediateTensorInfo(i),l.dataId}write(e,t,o){if((P().getBool(\"WEBGL_CHECK_NUMERICAL_PROBLEMS\")||P().getBool(\"DEBUG\"))&&this.checkNumericalProblems(e),o===\"complex64\"&&e!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:o,values:e,usage:mr.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,o,n,s){if(P().getBool(\"DEBUG\")&&this.checkNumericalProblems(t),n===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.texData.set(e,{shape:o,dtype:n,values:t,usage:mr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:o,dtype:n,complexTensorInfos:s,slice:a,shape:i,isPacked:p}=t;if(a!=null){let m;p?m=new Ar(i,Ra):m=new tr(i,Ra);let d=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:n}],n),f=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),f}if(o!=null)return this.convertAndCacheOnCPU(e);if(n===\"string\")return o;let u=this.activeTimers!=null,c;u&&(c=y.now());let l;if(n===\"complex64\"){let m=this.readSync(s.real.dataId),d=this.readSync(s.imag.dataId);l=C.mergeRealAndImagArrays(m,d)}else l=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,l)}async read(e){if(this.pendingRead.has(e)){let f=this.pendingRead.get(e);return new Promise(h=>f.push(h))}let t=this.texData.get(e),{values:o,shape:n,slice:s,dtype:a,complexTensorInfos:i,isPacked:p}=t;if(s!=null){let f;p?f=new Ar(n,Ra):f=new tr(n,Ra);let h=this.runWebGLProgram(f,[{dataId:e,shape:n,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(o!=null)return this.convertAndCacheOnCPU(e);if(P().getBool(\"DEBUG\")&&!P().getBool(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&P().getNumber(\"WEBGL_VERSION\")===2)throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");let u=null,c;if(a!==\"complex64\"&&P().get(\"WEBGL_BUFFER_SUPPORTED\")){c=this.decode(e);let f=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(f.texture.texture,...Hl(n))}this.pendingRead.set(e,[]),a!==\"complex64\"&&await this.gpgpu.createAndWaitForFence();let l;if(a===\"complex64\"){let f=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=f[0],g=f[1];l=C.mergeRealAndImagArrays(h,g)}else if(u==null)l=this.getValuesFromTexture(e);else{let f=y.sizeFromShape(n);l=this.gpgpu.downloadFloat32MatrixFromBuffer(u,f)}if(c!=null&&this.disposeIntermediateTensorInfo(c),u!=null){let f=this.gpgpu.gl;ce(f,()=>f.deleteBuffer(u))}let m=this.convertAndCacheOnCPU(e,l),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(f=>f(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&ur().removeDataId(e,this),this.pendingDeletes--),m}readToGPU(e,t={}){let o=this.texData.get(e),{values:n,shape:s,slice:a,dtype:i,isPacked:p,texture:u}=o;if(i===\"complex64\")throw new Error(\"Does not support reading texture for complex64 dtype.\");if(a!=null){let d;p?d=new Ar(s,Ra):d=new tr(s,Ra);let f=this.runWebGLProgram(d,[{dataId:e,shape:s,dtype:i}],i),h=this.readToGPU(f,t);return this.disposeIntermediateTensorInfo(f),h}if(u==null)throw n!=null?new Error(\"Data is not on GPU but on CPU.\"):new Error(\"There is no data on GPU or CPU.\");let c=this.decode(e,t.customTexShape),l=ur().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:l},m.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype===\"string\")try{let o=t.map(n=>y.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return me(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(p=>p.query)).filter(p=>p!=null),a=y.flatten(this.activeTimers.map(p=>p.name)).filter(p=>p!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0){let p=await Promise.all(s);i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(\", \")}else i.kernelMs={error:\"WebGL query timers are not supported in this environment.\"};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(P().getNumber(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:o}=this.texData.get(e);return o!=null&&(this.disposeData(o.real.dataId,t),this.disposeData(o.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:o,texShape:n,usage:s,isPacked:a,slice:i}=this.texData.get(e),p=i&&i.origDataId||e,u=this.dataRefCount.get(p);u>1?this.dataRefCount.set(p,u-1):(this.dataRefCount.delete(p),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,o),this.textureManager.releaseTexture(t,n,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=dZ){return P().getBool(\"WEBGL_CPU_FORWARD\")&&e.every(o=>this.texData.get(o.dataId).texture==null&&y.sizeFromShape(o.shape)0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,o){return ur().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,o),this)}unpackTensor(e){let t=new lh(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new ph(e.shape),o=!0;return this.runWebGLProgram(t,[e],e.dtype,null,o)}packedReshape(e,t){let o=[di(e.shape),...fi(e.shape)],n={dtype:e.dtype,shape:o,dataId:e.dataId},s=[di(t),...fi(t)],a=new Oc(s,o),i=!0,p=[o],u=this.runWebGLProgram(a,[n],e.dtype,p,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}decode(e,t){let o=this.texData.get(e),{isPacked:n,shape:s,dtype:a}=o;if(t!=null){let m=y.sizeFromShape(s),d=t[0]*t[1]*4;y.assert(m<=d,()=>\"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.\")}let i=Tc(s),p;n?p=new Qf(i):p=new Yf(i);let u=!0,c=[t!=null?t:Hl(i)],l=this.runWebGLProgram(p,[{shape:i,dtype:a,dataId:e}],a,c,u,t);return{dtype:a,shape:s,dataId:l.dataId}}runWebGLProgram(e,t,o,n,s=!1,a){let i=this.makeTensorInfo(e.outputShape,o),p=this.texData.get(i.dataId);if(e.packedOutput&&(p.isPacked=!0),e.outPackingScheme===du.DENSE){let x=a!=null?a:Hl(e.outputShape);p.texShape=x.map(b=>b*2)}if(e.outTexUsage!=null&&(p.usage=e.outTexUsage),y.sizeFromShape(i.shape)===0)return p.values=y.getTypedArrayFromDType(i.dtype,0),i;let u=[],c=t.map(x=>{if(x.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");let b=this.texData.get(x.dataId);if(b.texture==null){if(!e.packedInputs&&y.sizeFromShape(x.shape)<=P().getNumber(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!e.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),u.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!fu(b.shape,x.shape)){let w=x,S=x.shape;x.shape=b.shape,x=this.packedReshape(x,S),u.push(x),b=this.texData.get(x.dataId),w.shape=S}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let l={shape:i.shape,texData:p,isUniform:!1},m=pR(e,c,l),d=this.getAndSaveBinary(m,()=>iR(this.gpgpu,e,c,l)),f=this.activeTimers!=null,h;f&&(h=this.startTimer()),P().get(\"ENGINE_COMPILE_ONLY\")||uR(this.gpgpu,d,c,l,n),u.forEach(x=>this.disposeIntermediateTensorInfo(x)),f&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));let g=P().get(\"WEBGL_FLUSH_THRESHOLD\");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!P().getBool(\"WEBGL_LAZILY_UNPACK\")&&p.isPacked&&s===!1){let x=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),x}return i}compileAndRun(e,t,o,n,s=!1){return o=o||t[0].dtype,this.runWebGLProgram(e,t,o,n,s)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(P().getBool(\"IS_TEST\")||Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!=\"undefined\"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=De(()=>{if(!P().get(\"WEBGL_RENDER_FLOAT32_ENABLED\")){let e=P().getBool(\"DEBUG\");P().set(\"DEBUG\",!1);let t=this.abs(ke(1e-8)).dataSync()[0];if(P().set(\"DEBUG\",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?cZ:lZ}uploadToGPU(e){let t=this.texData.get(e),{shape:o,dtype:n,values:s,texture:a,usage:i,isPacked:p}=t;if(a!=null)return;let u=this.activeTimers!=null,c;u&&(c=y.now());let l=t.texShape;if(l==null&&(l=II(o,p),t.texShape=l),s!=null){let m=Tc(o),d,f=l[1],h=l[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(p||!g)&&([f,h]=Ea(l[0],l[1])),p?d=new eh(m,g):d=new Xl(m,g);let x=g?[h,f]:l,b=this.makeTensorInfo(x,n),w=this.texData.get(b.dataId);g?w.usage=mr.PIXELS:w.usage=mr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),f,h,s);let S=[[h,f]],k=!0,_=this.runWebGLProgram(d,[b],n,S,k),E=this.texData.get(_.dataId);t.texShape=E.texShape,t.isPacked=E.isPacked,t.usage=E.usage,P().get(\"ENGINE_COMPILE_ONLY\")?this.disposeData(_.dataId):(t.texture=E.texture,t.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),u&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(l,i,n,p);t.texture=m}}convertAndCacheOnCPU(e,t){let o=this.texData.get(e),{dtype:n}=o;return t!=null&&(o.values=gZ(t,n)),o.values}acquireTexture(e,t,o,n){if(this.numBytesInGPU+=this.computeBytes(e,o),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*y.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let o=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(s){throw s}});e.push(o)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Kw(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Gf(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error(\"Failed to compile fragment shader.\")):new Error(\"Failed to link vertex and fragment shaders.\");return!0}getUniformLocations(){for(let e of Object.values(this.binaryCache)){this.gpgpu.buildVao(e.webGLProgram);let{variablesLocations:t,customUniformLocations:o,infLoc:n,nanLoc:s,outShapeLocation:a,outShapeStridesLocation:i,outTexShapeLocation:p}=EI(this.gpgpu,e.program,e.webGLProgram);e.variablesLocations=t,e.customUniformLocations=o,e.infLoc=n,e.nanLoc=s,e.outShapeLocation=a,e.outShapeStridesLocation=i,e.outTexShapeLocation=p}}createTensorFromGPUData(e,t,o){e.channels=e.channels||\"RGBA\";let{texture:n,height:s,width:a,channels:i}=e,p=ur().backend;if(!p.gpgpu.gl.isTexture(n))throw new Error(\"The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.\");let u=p.writeTexture(n,t,o,s,a,i);return ur().makeTensorFromDataId(u,t,o,p)}};hu.nextDataId=0;function gZ(r,e){if(e===\"float32\"||e===\"complex64\")return r;if(e===\"int32\"||e===\"bool\"){let t=e===\"int32\"?new Int32Array(r.length):new Uint8Array(r.length);for(let o=0;onew hu,2);var cst={forceHalfFloat:hD};var Mc=`\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n`;var lo=class{constructor(e,t,o){this.variableNames=[\"A\",\"B\"],this.outputShape=C.assertAndGetBroadcastShape(t,o),this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=`\n float binaryOperation(float a, float b) {\n ${e}\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n `}};var Kr=`\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n`;var Ro=class{constructor(e,t,o,n=!1){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=C.assertAndGetBroadcastShape(t,o);let s=this.outputShape.length;this.enableShapeUniforms=ut(s);let a=\"\";if(n)if(s===0||y.sizeFromShape(this.outputShape)===1)a=`\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n `;else if(a=`\n ${Re(s)} coords = getOutputCoords();\n `,s===1)this.enableShapeUniforms?a+=`\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `:a+=`\n result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n `;else{let p=Rt(\"coords\",s);this.enableShapeUniforms?a+=`\n bool nextRowOutOfBounds =\n (${p[s-2]} + 1) >= outShape[${s} - 2];\n bool nextColOutOfBounds =\n (${p[s-1]} + 1) >= outShape[${s} - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `:a+=`\n bool nextRowOutOfBounds =\n (${p[s-2]} + 1) >= ${this.outputShape[s-2]};\n bool nextColOutOfBounds =\n (${p[s-1]} + 1) >= ${this.outputShape[s-1]};\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n `}this.userCode=`\n vec4 binaryOperation(vec4 a, vec4 b) {\n ${e}\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n ${a}\n\n setOutput(result);\n }\n `}};function Dt(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var gD={kernelName:xo,backendName:\"webgl\",kernelFunc:Dt};function Fr(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,\"complex64\"),a=t.texData.get(s.dataId),i=Dt({inputs:{x:o},backend:t}),p=Dt({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var xD={kernelName:Ti,backendName:\"webgl\",kernelFunc:Fr};var YI=\"return (a < 0.) ? b * a : a;\",QI=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function yZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=t.makeTensorInfo([],\"float32\",y.createScalarValue(s,\"float32\")),i=P().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Ro(QI,n.shape,a.shape):new lo(YI,n.shape,a.shape),p=t.runWebGLProgram(i,[n,a],\"float32\");return t.disposeIntermediateTensorInfo(a),p}var yD={kernelName:_n,backendName:\"webgl\",kernelFunc:yZ};var ZI=\"return (a < 0.) ? b * a : a;\",JI=`\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;function bZ(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=P().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Ro(JI,o.shape,n.shape):new lo(ZI,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],\"float32\")}var bD={kernelName:Jn,backendName:\"webgl\",kernelFunc:bZ};var Do=\"if (isnan(x)) return x;\";function ge({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:o}){return({inputs:n,backend:s})=>{let{x:a}=n,i=s,p=o||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let l=i.texData.get(a.dataId),m=t(l.values,p);return i.makeTensorInfo(a.shape,p,m)}let u=P().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")&&e!=null,c;return u?c=new Ar(a.shape,e):c=new tr(a.shape,r),i.runWebGLProgram(c,[a],p)}}function nt({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:o=!1,cpuKernelImpl:n,dtype:s}){return({inputs:a,backend:i})=>{let{a:p,b:u}=a,c=i;if(o&&p.dtype===\"complex64\"){let f=c.texData.get(p.dataId),h=c.texData.get(u.dataId),[g,x]=[[f.complexTensorInfos.real,h.complexTensorInfos.real],[f.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[S,k]=w,_={dataId:S.dataId,dtype:S.dtype,shape:p.shape},E={dataId:k.dataId,dtype:k.dtype,shape:u.shape},R=new lo(r,p.shape,u.shape);return c.runWebGLProgram(R,[_,E],dt(S.dtype,k.dtype))}),b=Fr({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let l=s||dt(p.dtype,u.dtype);if((p.dtype===\"string\"||u.dtype===\"string\"||c.shouldExecuteOnCPU([p,u]))&&n!=null){let f=c.texData.get(p.dataId).values,h=c.texData.get(u.dataId).values,g=p.dtype===\"string\"?C.fromUint8ToStringArray(f):f,x=p.dtype===\"string\"?C.fromUint8ToStringArray(h):h,[b,w]=n(p.shape,u.shape,g,x,l),S=c.makeTensorInfo(w,l),k=c.texData.get(S.dataId);return k.values=b,S}let m=P().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")&&e!=null,d;return m?d=new Ro(e,p.shape,u.shape,t):d=new lo(r,p.shape,u.shape),c.runWebGLProgram(d,[p,u],l)}}function hi(r,e=!1){if(r===\"linear\")return e?cD:nD;if(r===\"relu\")return e?mD:aD;if(r===\"elu\")return e?lD:sD;if(r===\"relu6\")return e?dD:iD;if(r===\"prelu\")return e?JI:ZI;if(r===\"leakyrelu\")return e?QI:YI;if(r===\"sigmoid\")return e?fD:uD;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Lc=class{constructor(e,t,o,n=!1,s=!1,a=!1,i=null,p=!1,u=!1){this.variableNames=[\"matrixA\",\"matrixB\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o,this.enableShapeUniforms=ut(this.outputShape.length);let c=n?e[1]:e[2],l=Math.ceil(c/2),m=n?\"i * 2, rc.y\":\"rc.y, i * 2\",d=s?\"rc.z, i * 2\":\"i * 2, rc.z\",f=n?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],h=s?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"],g=\"\",x=\"\";i&&(p?g=`vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ${i}\n }`:u?g=`vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ${i}\n }`:g=`vec4 activation(vec4 x) {\n ${i}\n }`,x=\"result = activation(result);\");let b=a?\"result += getBiasAtOutCoords();\":\"\";a&&this.variableNames.push(\"bias\"),p&&this.variableNames.push(\"preluActivationWeights\"),u&&this.variableNames.push(\"leakyreluAlpha\");let w=\"rc.x\",S=\"rc.x\";e[0]`The new shape (${p}) has ${u} elements and the old shape (${n.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(n.dataId);return c.isPacked&&!fu(n.shape,p)&&!(c.texture!==null&&fu(c.shape,p))?SD(n,p,a):(a.incRef(n.dataId),{dataId:n.dataId,shape:p,dtype:n.dtype})}var ID={kernelName:ia,backendName:\"webgl\",kernelFunc:te};var Jl=class{constructor(e,t){this.variableNames=[\"x\"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=Math.floor(o/4)*4,p=o%4,u=\"sumValue += dot(values, ones);\";if(t!=null){let l=1/t;u=`sumValue += dot(values * ${y.isInt(l)?l.toPrecision(2):l}, ones);`}let c=\"\";s%o>0&&(c=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return 0.0;\n }\n `),this.userCode=`\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${c}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${i}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${u}\n }\n\n int inIdx = inOffset + ${i};\n if (${p===1}) {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n ${u}\n } else if (${p===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n ${u}\n } else if (${p===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n ${u}\n }\n setOutput(sumValue);\n }\n `}};var dh=class{constructor(e,t){this.variableNames=[\"x\"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=\"0.0\",p=\"\";t===\"prod\"?i=\"1.0\":t===\"min\"?(i=\"1.0 / 1e-20\",p=\"min\"):t===\"max\"&&(i=\"-1.0 / 1e-20\",p=\"max\");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"sum\"?u=\"sumValue\":t===\"prod\"?u=\"prodValue\":t===\"all\"?u=\"allValue\":t===\"any\"&&(u=\"anyValue\");let c=Math.floor(o/4)*4,l=o%4,m=`\n if (${t===\"sum\"}) {\n sumValue += dot(values, ones);\n } else if (${t===\"prod\"}) {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = ${p}(values, minMaxValue);\n if (${t===\"min\"} || ${t===\"max\"}) {\n minMaxValue = ${p}(values, minMaxValue);\n bvec4 isNaN = isnan(values);\n if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n minMaxValue = vec4(NAN);\n }\n }\n }\n `,d=\"vec4\";t===\"all\"?(i=\"1.0\",m=`\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n `,d=\"bvec4\"):t===\"any\"&&(i=\"0.0\",m=`\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n `,d=\"bvec4\");let f=\"\";s%o>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `),this.userCode=`\n const float initializationValue = ${i};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n ${f}\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${o};\n\n vec4 minMaxValue = vec4(${i});\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${l===1}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${l===2}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n ${m}\n } else if (${l===3}) {\n ${d} values = ${d}(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n ${m}\n }\n setOutput(${u});\n }\n `}};function wZ(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],o=C.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:o,outSize:Math.ceil(t/o)})}return e}function qr(r,e,t,o){let n=wZ(r.shape),s=r;for(let a=0;a6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],o=new Array(e);for(let n=0;n6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=Re(this.rank),s=jI(\"rc\",this.rank),a=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=te({inputs:{x:r},backend:n,attrs:{shape:k}}),R=te({inputs:{x:e},backend:n,attrs:{shape:_}}),D=[E,R],F=Math.max(x,b),O=t?E.shape[1]:E.shape[2],M=s!=null,L=a!=null,B=p===\"leakyrelu\",z=p!=null?hi(p,!0):null,U=M||L||B||z!=null,j;if((d===1||f===1)&&O>tv&&U===!1){let X=E,J=R;t&&(X=bt({inputs:{x:E},backend:n,attrs:{perm:[0,2,1]}}),D.push(X)),o&&(J=bt({inputs:{x:R},backend:n,attrs:{perm:[0,2,1]}}),D.push(J));let re=f!==1,ne=f===1,ee=X;re&&(ee=te({inputs:{x:X},backend:n,attrs:{shape:[F,O,1]}}),D.push(ee));let oe=f===1?2:1,ie=J;ne&&(ie=te({inputs:{x:J},backend:n,attrs:{shape:[F,1,O]}}),D.push(ie));let le=Zl({inputs:{a:ee,b:ie},backend:n});j=bp({inputs:{x:le},backend:n,attrs:{axis:oe,keepDims:!0}}),D.push(le)}else{let X=dt(r.dtype,e.dtype),J=new Lc(k,_,[F,d,f],t,o,M,z,L,B),re=[E,R];if(s!=null&&re.push(s),L&&re.push(a),B){let ne=n.makeTensorInfo([],\"float32\",y.createScalarValue(i,\"float32\"));re.push(ne),D.push(ne)}j=n.runWebGLProgram(J,re,X)}let H=te({inputs:{x:j},backend:n,attrs:{shape:S}});D.push(j);for(let X of D)n.disposeIntermediateTensorInfo(X);return H}function IZ(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return Cp({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var TD={kernelName:bo,backendName:\"webgl\",kernelFunc:IZ};var _D=\"return abs(x);\";function vZ(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])&&o.dtype!==\"complex64\"){let s=t.texData.get(o.dataId),a=ih(s.values);return t.makeTensorInfo(o.shape,o.dtype,a)}let n;return P().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?n=new Ar(o.shape,_D):n=new tr(o.shape,_D),t.runWebGLProgram(n,[o],o.dtype)}var $D={kernelName:Gs,backendName:\"webgl\",kernelFunc:vZ};var kZ=Ut+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n`,NZ=ge({opSnippet:kZ}),ED={kernelName:zo,backendName:\"webgl\",kernelFunc:NZ};var TZ=Ut+`\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));`,_Z=ge({opSnippet:TZ}),RD={kernelName:Vo,backendName:\"webgl\",kernelFunc:_Z};var DD=\"return a + b;\",$Z=nt({opSnippet:DD,packedOpSnippet:DD,supportsComplex:!0,cpuKernelImpl:cR}),AD={kernelName:no,backendName:\"webgl\",kernelFunc:$Z};var gh=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`float v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${o.join(`\n `)}\n\n float result = ${n};\n setOutput(result);\n }\n `}};var xh=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`vec4 v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(\" + \");this.userCode=`\n void main() {\n ${o.join(`\n `)}\n\n vec4 result = ${n};\n setOutput(result);\n }\n `}};function yh(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return Dt({inputs:{x:o[0]},backend:t});if(o.length>P().get(\"WEBGL_MAX_TEXTURES_IN_SHADER\")){let p=Math.floor(o.length/2),u=yh({inputs:o.slice(0,p),backend:t}),c=yh({inputs:o.slice(p),backend:t});return yh({inputs:[u,c],backend:t})}let n=o.map(p=>p.dtype).reduce((p,u)=>dt(p,u)),s=o.map(p=>p.shape),i=P().getBool(\"WEBGL_PACK\")?new xh(o[0].shape,s):new gh(o[0].shape,s);return t.runWebGLProgram(i,o,n)}var FD={kernelName:Wo,backendName:\"webgl\",kernelFunc:yh};function EZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=n;c!=null&&(l=bt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims(\"all\",u,i);let[m,d]=C.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=te({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=qr(h,h.dtype,\"all\",t),x;if(a){let b=C.expandShapeToKeepDim(m,p);x=te({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=te({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var PD={kernelName:Uo,backendName:\"webgl\",kernelFunc:EZ};function RZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=n;c!=null&&(l=bt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims(\"any\",u,i);let[m,d]=C.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=te({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=qr(h,h.dtype,\"any\",t),x;if(a){let b=C.expandShapeToKeepDim(m,p);x=te({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=te({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var OD={kernelName:Go,backendName:\"webgl\",kernelFunc:RZ};var bh=class{constructor(e,t,o){this.variableNames=[\"A\"];let{windowSize:n,batchSize:s,outSize:a}=e;o||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[s,a];let i=t===\"max\"?\">\":\"<\",p=o?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * ${n};\n\n int bestIndex = inOffset;\n float bestValue = getA(batch, bestIndex);\n\n for (int i = 0; i < ${n}; i++) {\n int inIdx = ${p};\n float candidate = getA(batch, inIdx);\n if (candidate ${i} bestValue) {\n bestValue = candidate;\n bestIndex = inIdx;\n }\n }\n setOutput(float(bestIndex));\n }\n `}};var Ch=class{constructor(e,t,o,n){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${o.charAt(0).toUpperCase()+o.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),n||this.variableNames.push(\"bestIndicesA\");let i=this.outputShape,p=i.length,u=Re(p),c=Rt(\"coords\",p),l,m;if(a===1){m=p+1;let R=Re(m);l=`\n ${R} sourceLocR = ${R}(${c.join()}, 0);\n ++${c[p-1]};\n ${R} sourceLocG = ${R}(${c.join()}, 0);\n ++${c[p-2]};\n ${R} sourceLocA = ${R}(${c.join()}, 0);\n --${c[p-1]};\n ${R} sourceLocB = ${R}(${c.join()}, 0);\n --${c[p-2]};`}else m=p,l=`\n ${u} sourceLocR = coords;\n ++${c[p-1]};\n ${u} sourceLocG = coords;\n ++${c[p-2]};\n ${u} sourceLocA = coords;\n --${c[p-1]};\n ${u} sourceLocB = coords;\n --${c[p-2]};`;let d=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,m),f=\".\"+d[m-1],h=d.map(R=>\"int \"+R),g=Rt(\"sourceLocR\",m-1).concat(\"inIdx.r\"),x=Rt(\"sourceLocG\",m-1).concat(\"inIdx.g\"),b=Rt(\"sourceLocB\",m-1).concat(\"inIdx.b\"),w=Rt(\"sourceLocA\",m-1).concat(\"inIdx.a\"),S=o===\"max\"?\"greaterThan\":\"lessThan\",k=n?\"\":`\n inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),\n getBestIndicesAChannel(${x.join()}),\n getBestIndicesAChannel(${b.join()}),\n getBestIndicesAChannel(${w.join()})));`,_=`vec4(\n getAChannel(${g.join()}),\n hasNextCol ? getAChannel(${x.join()}) : 0.,\n hasNextRow ? getAChannel(${b.join()}) : 0.,\n hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,E=n?\"\":`\n float getBestIndicesAChannel(${h.join()}) {\n return getChannel(getBestIndicesA(${d.join()}),\n vec2(${d.slice(-2).join()}));\n }`;this.userCode=`\n float getAChannel(${h.join()}) {\n return getChannel(getA(${d.join()}),\n vec2(${d.slice(-2).join()}));\n }\n ${E}\n void main() {\n ${u} coords = getOutputCoords();\n bool hasNextCol = ${c[p-1]} < ${i[p-1]-1};\n bool hasNextRow = ${c[p-2]} < ${i[p-2]-1};\n ${l}\n ivec4 srcIdx = ivec4(sourceLocR${f}, sourceLocG${f},\n sourceLocB${f}, sourceLocA${f}) * ${t};\n ivec4 inIdx = srcIdx;\n vec4 bestIndex = vec4(inIdx);\n vec4 bestValue = ${_};\n\n for (int i = 0; i < ${t}; i++) {\n inIdx = srcIdx;\n ${k}\n vec4 candidate = ${_};\n bvec4 nan = isnan(candidate);\n bvec4 replace = bvec4(\n vec4(${S}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n `}};function MD(r,e,t,o=null){let n=e.shape[0],s=e.shape[1];o!=null&&(n=o.shape[0],s=o.shape[1]);let a=C.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:n,outSize:Math.ceil(s/a)},p=new bh(i,t,o==null),u=[e];o!=null&&u.push(o);let c=r.runWebGLProgram(p,u,\"int32\");if(c.shape[1]===1)return c;let l=MD(r,e,t,c);return r.disposeIntermediateTensorInfo(c),l}function LD(r,e,t,o=null){let n=o!=null?o.shape:e.shape,s=n[n.length-1],a=C.computeOptimalWindowSize(s),i=new Ch(n,a,t,o==null),p=o==null?[e]:[e,o],u=r.runWebGLProgram(i,p,\"int32\");if(u.shape.length===e.shape.length){let c=LD(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function wh(r,e,t,o){let n=[t];if(C.assertAxesAreInnerMostDims(\"arg\"+o.charAt(0).toUpperCase()+o.slice(1),n,e.shape.length),!P().getBool(\"WEBGL_PACK_REDUCE\")||e.shape.length<=2){let s=[],a=r.texData.get(e.dataId),i=a!==null&&a.isPacked,p=e;i&&(p=r.unpackTensor(e),s.push(p));let[u,c]=C.computeOutAndReduceShapes(p.shape,n),l=y.sizeFromShape(c),m=te({inputs:{x:p},backend:r,attrs:{shape:[-1,l]}});s.push(m);let d=MD(r,m,o);s.push(d);let f=te({inputs:{x:d},backend:r,attrs:{shape:u}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),f}return LD(r,e,o)}function DZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=bt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims(\"argMax\",[a[0]],p.shape.length);let c=wh(t,p,a[0],\"max\");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var BD={kernelName:Hs,backendName:\"webgl\",kernelFunc:DZ};function AZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=bt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims(\"argMin\",[a[0]],p.shape.length);let c=wh(t,p,a[0],\"min\");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var zD={kernelName:Ks,backendName:\"webgl\",kernelFunc:AZ};var FZ=Ut+`\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n`,PZ=ge({opSnippet:FZ}),VD={kernelName:Ho,backendName:\"webgl\",kernelFunc:PZ};var OZ=Ut+\"return log(x + sqrt(x * x + 1.0));\",MZ=ge({opSnippet:OZ}),WD={kernelName:Ko,backendName:\"webgl\",kernelFunc:MZ};var LZ=Ut+`\n return atan(x);\n`,BZ=ge({opSnippet:LZ}),UD={kernelName:qo,backendName:\"webgl\",kernelFunc:BZ};var zZ=Mc+`\n return atan(a, b);\n`,VZ=`\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n `+Kr+`\n return result;\n`,WZ=nt({opSnippet:zZ,packedOpSnippet:VZ}),GD={kernelName:Xo,backendName:\"webgl\",kernelFunc:WZ};var UZ=Ut+`\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;`,GZ=ge({opSnippet:UZ}),HD={kernelName:jo,backendName:\"webgl\",kernelFunc:GZ};var Ms=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=[\"x\"],t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");let a=e.filterWidth,i=e.strideHeight,p=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterHeight,m=e.effectiveFilterWidth,d=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;let h=t===\"avg\",g=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b=\"0.0\";if(h||(b=\"-1.0 / 1e-20\"),o){let R=\">=\";this.userCode=`\n const ivec2 strides = ivec2(${i}, ${p});\n const ivec2 pads = ivec2(${d}, ${f});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR < ${l};\n wR += ${u}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${m};\n wC += ${c}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${R} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${n?s?g:x:`wR * ${m} + wC`};\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let w=\"max\",S=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"avg\"&&(S=\"avgValue / max(count, 1.0)\");let k=Math.floor(a/4)*4,_=a%4,E=`\n if (${h}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${w}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec2 strides = ivec2(${i}, ${p});\n const ivec2 pads = ivec2(${d}, ${f});\n const float initializationValue = ${b};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(${b});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ${l};\n wR += ${u}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${k}; wC += 4) {\n int xC = xCCorner + wC * ${c};\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n getValue(batch, xR, xC + 3 * ${c}, d)\n );\n\n ${E}\n }\n\n int xC = xCCorner + ${k};\n if (${_===1}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${E}\n } else if (${_===2}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n initializationValue,\n initializationValue\n );\n\n ${E}\n } else if (${_===3}) {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ${c}, d),\n getValue(batch, xR, xC + 2 * ${c}, d),\n initializationValue\n );\n\n ${E}\n }\n }\n setOutput(${S});\n }\n `}},xu=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=[\"x\"],t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");let a=e.filterWidth,i=e.strideDepth,p=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,l=e.dilationHeight,m=e.dilationWidth,d=e.effectiveFilterDepth,f=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let w=t===\"avg\",S=\"0.0\";if(w||(S=\"-1.0 / 1e-20\"),o){let F=\">=\";this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${p}, ${u});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${f};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${h};\n wC += ${m}) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ${F} currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ${n?s?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${f} * ${h} +\n wR * ${h} + wC`};\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n `;return}let k=\"max\",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t===\"avg\"&&(_=\"avgValue / max(count, 1.0)\");let E=Math.floor(a/4)*4,R=a%4,D=`\n if (${w}) {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ${k}(values, minMaxValue);\n }\n `;this.userCode=`\n const ivec3 strides =\n ivec3(${i}, ${p}, ${u});\n const ivec3 pads = ivec3(${g}, ${x}, ${b});\n const float initializationValue = ${S};\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC < 0 || xC >= ${e.inWidth}) {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(${S});\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD < ${d};\n wD += ${c}) {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${f};\n wR += ${l}) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${E}; wC += 4) {\n int xC = xCCorner + wC * ${m};\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n getValue(batch, xD, xR, xC + 3 * ${m}, ch)\n );\n\n ${D}\n }\n\n int xC = xCCorner + ${E};\n if (${R===1}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ${D}\n } else if (${R===2}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n initializationValue,\n initializationValue\n );\n\n ${D}\n } else if (${R===3}) {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ${m}, ch),\n getValue(batch, xD, xR, xC + 2 * ${m}, ch),\n initializationValue\n );\n\n ${D}\n }\n }\n }\n setOutput(${_});\n }\n `}};function HZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;Ps(n,\"avgPool\");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Dt({inputs:{x:n},backend:t});let l=new Ms(c,\"avg\",!1);return t.runWebGLProgram(l,[n],\"float32\")}var KD={kernelName:Yo,backendName:\"webgl\",kernelFunc:HZ};function KZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,p,u),m=new xu(l,\"avg\",!1);return t.runWebGLProgram(m,[n],\"float32\")}var qD={kernelName:qs,backendName:\"webgl\",kernelFunc:KZ};var Sh=class{constructor(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=p-1-e.padInfo.top,l=u-1-e.padInfo.left,m=1/(t*o);this.userCode=`\n const ivec2 pads = ivec2(${c}, ${l});\n const float avgMultiplier = float(${m});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${p};\n wR += ${a}) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${u};\n wC+= ${i}) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n `}},Ih=class{constructor(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,m=e.effectiveFilterHeight,d=e.effectiveFilterWidth,f=l-1-e.padInfo.front,h=m-1-e.padInfo.top,g=d-1-e.padInfo.left,x=1/(t*o*n);this.userCode=`\n const ivec3 pads = ivec3(${f}, ${h}, ${g});\n const float avgMultiplier = float(${x});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${l};\n wD += ${p}) {\n float dyD = float(dyDCorner + wD) / ${s}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${m};\n wR += ${u}) {\n float dyR = float(dyRCorner + wR) / ${a}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${d};\n wC += ${c}) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function qZ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=C.computePool3DInfo(a.shape,i,p,l,u,c),d=new Ih(m);return t.runWebGLProgram(d,[n],a.dtype)}var jD={kernelName:Ni,backendName:\"webgl\",kernelFunc:qZ};function jZ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;Ps([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=new Sh(c);return t.runWebGLProgram(l,[n],a.dtype)}var XD={kernelName:Gp,backendName:\"webgl\",kernelFunc:jZ};function XZ(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return Cp({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var YD={kernelName:Qo,backendName:\"webgl\",kernelFunc:XZ};var vh=class{constructor(e,t,o,n,s,a){this.outputShape=[],this.variableNames=[\"x\",\"mean\",\"variance\"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,o);let i=\"0.0\";n!=null&&(C.assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");let p=\"1.0\";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push(\"scale\"),p=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=`\n void main() {\n float x = getXAtOutCoords();\n float mean = getMeanAtOutCoords();\n float variance = getVarianceAtOutCoords();\n float offset = ${i};\n float scale = ${p};\n float inv = scale * inversesqrt(variance + float(${a}));\n setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n }\n `}};var kh=class{constructor(e,t,o,n,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,o);let i=\"vec4(0.0)\";n!=null&&(C.assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");let p=\"vec4(1.0)\";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push(\"scale\"),p=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=`\n void main() {\n vec4 offset = ${i};\n vec4 scale = ${p};\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(${a}));\n\n setOutput((x - mean) * inv + offset);\n }\n `}};var YZ=({inputs:r,backend:e,attrs:t})=>{let{x:o,mean:n,variance:s,offset:a,scale:i}=r;y.assert(n.shape.length===s.shape.length,()=>\"Batch normalization gradient requires mean and variance to have equal ranks.\"),y.assert(a==null||n.shape.length===a.shape.length,()=>\"Batch normalization gradient requires mean and offset to have equal ranks.\"),y.assert(i==null||n.shape.length===i.shape.length,()=>\"Batch normalization gradient requires mean and scale to have equal ranks.\");let{varianceEpsilon:p}=t;p==null&&(p=.001);let u=[o,n,s],c=null;a!=null&&(c=a.shape,u.push(a));let l=null;i!=null&&(l=i.shape,u.push(i));let m=P().getBool(\"WEBGL_PACK_NORMALIZATION\")?new kh(o.shape,n.shape,s.shape,c,l,p):new vh(o.shape,n.shape,s.shape,c,l,p);return e.runWebGLProgram(m,u,u[0].dtype)},QD={kernelName:wn,backendName:\"webgl\",kernelFunc:YZ};var Nh=class{constructor(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;let t=Re(this.rank);this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let o=QZ(this.rank),n,s=e.map((a,i)=>`sourceLoc.${rv[i]} = start[${i}] + coords.${rv[i]};`);n=`\n ${t} sourceLoc;\n ${t} coords = getOutputCoords();\n ${s.join(`\n`)}\n `,this.userCode=`\n void main() {\n ${n}\n setOutput(getSource(${o}));\n }\n `}},rv=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function QZ(r){if(r===1)return\"sourceLoc\";if(r<=6)return rv.slice(0,r).map(e=>\"sourceLoc.\"+e).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}var Th=class{constructor(e){this.variableNames=[\"source\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:\"start\",arrayIndex:this.rank,type:\"int\"}];let t=Re(this.rank),o=Rt(\"coords\",this.rank),n=Rt(\"sourceLoc\",this.rank),s=this.rank===1?\"sourceLoc\":`vec2(${n.slice(-2).join()})`,a=`getChannel(getSource(${n.join()}), ${s})`,i=`\n result.x = ${a};\n if (++${o[this.rank-1]} < ${e[this.rank-1]}) {\n ++${n[this.rank-1]};\n result.y = ${a};\n --${n[this.rank-1]};\n }\n `,p=this.rank===1?\"\":`\n --${o[this.rank-1]};\n if (++${o[this.rank-2]} < ${e[this.rank-2]}) {\n ++${n[this.rank-2]};\n result.z = ${a};\n if (++${o[this.rank-1]} < ${e[this.rank-1]}) {\n ++${n[this.rank-1]};\n result.w = ${a};\n }\n }\n `,u=this.rank<=4?`sourceLoc = coords +\n ${t}(${e.map((c,l)=>`start[${l}]`).join()});`:e.map((c,l)=>`${n[l]} = ${o[l]} + start[${l}];`).join(`\n`);this.userCode=`\n void main() {\n ${t} coords = getOutputCoords();\n ${t} sourceLoc;\n ${u}\n vec4 result = vec4(0.);\n ${i}\n ${p}\n setOutput(result);\n }\n `}};function ZZ(r,e,t,o){let n=o.texData.get(r.dataId),s=o.makeTensorInfo(t,r.dtype),a=o.texData.get(s.dataId);Object.assign(a,n),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=ct.computeFlatOffset(e,y.computeStrides(r.shape));n.slice&&(i+=n.slice.flatOffset),a.slice={flatOffset:i,origDataId:n.slice&&n.slice.origDataId||r.dataId};let p=o.dataRefCount.get(a.slice.origDataId)||1;return o.dataRefCount.set(a.slice.origDataId,p+1),s}function Ls(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ct.parseSliceParams(n,s,a);if(ct.assertParamsValid(n,i,p),y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);if(t.shouldExecuteOnCPU([n])||n.dtype===\"string\"){let l=t.texData.get(n.dataId),m=VR(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}let{isPacked:u}=t.texData.get(n.dataId),c=ct.isSliceContinous(n.shape,i,p);if(u||!c){let l=P().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new Th(p):new Nh(p),m=[i];return t.runWebGLProgram(l,[n],n.dtype,m)}return t.uploadToGPU(n.dataId),ZZ(n,i,p,t)}var ZD={kernelName:pa,backendName:\"webgl\",kernelFunc:Ls};var JZ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");let i=s.reduce((b,w)=>b*w),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=[],f=te({inputs:{x:n},backend:t,attrs:{shape:p}}),h=bt({inputs:{x:f},backend:t,attrs:{perm:u}}),g=te({inputs:{x:h},backend:t,attrs:{shape:c}}),x=Ls({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},JD={kernelName:js,backendName:\"webgl\",kernelFunc:JZ};function e9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.readSync(n.dataId),p=t.readSync(s.dataId),u=ah(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var eA={kernelName:Zo,backendName:\"webgl\",kernelFunc:e9};function t9(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.readSync(o.dataId),a=t.readSync(n.dataId),i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],\"int32\",Int32Array.from(i))}var tA={kernelName:Xs,backendName:\"webgl\",kernelFunc:t9};var r9=\"return float(a != b);\",ov=nt({opSnippet:r9,cpuKernelImpl:DR,dtype:\"bool\"}),rA={kernelName:qn,backendName:\"webgl\",kernelFunc:ov};function gi(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.real},backend:t})}var oA={kernelName:zi,backendName:\"webgl\",kernelFunc:gi};var o9=\"return float(int(x));\";function nA(r,e){let t=new tr(r.shape,o9),o=e.runWebGLProgram(t,[r],\"int32\");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function nv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return Dt({inputs:{x:n},backend:t});let a=Wr(n.shape),i=nv({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),p=Fr({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),p}if(n.dtype===\"complex64\"){let a=gi({inputs:{input:n},backend:t}),i=nv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=Dt({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.texData.get(n.dataId).values,[i,p,u]=mR(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s===\"int32\")return nA(n,t);if(s===\"bool\"){let a=t.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),p=ov({inputs:{a:n,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var sA={kernelName:ho,backendName:\"webgl\",kernelFunc:nv};var aA=\"return ceil(x);\",n9=ge({opSnippet:aA,packedOpSnippet:aA,cpuKernelImpl:dR}),iA={kernelName:Jo,backendName:\"webgl\",kernelFunc:n9};var _h=class{constructor(e){this.variableNames=[\"A\"],this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=e,this.userCode=`\n\n void main() {\n float value = getAAtOutCoords();\n if (isnan(value)) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, minVal, maxVal));\n }\n `}};var $h=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"minVal\",type:\"float\"},{name:\"maxVal\",type:\"float\"}],this.outputShape=e,this.userCode=`\n void main() {\n vec4 value = getAAtOutCoords();\n\n if (any(isnan(value))) {\n setOutput(value);\n return;\n }\n\n setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n }\n `}};function s9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i;P().getBool(\"WEBGL_PACK_CLIP\")?i=new $h(n.shape):i=new _h(n.shape);let p=[[s],[a]];return t.runWebGLProgram(i,[n],n.dtype,p)}var uA={kernelName:go,backendName:\"webgl\",kernelFunc:s9};var Eh=class{constructor(e){this.variableNames=[\"real\",\"imag\"],this.outputShape=e,this.userCode=`\n void main() {\n float re = abs(getRealAtOutCoords());\n float im = abs(getImagAtOutCoords());\n float mx = max(re, im);\n\n // sadly the length function in glsl is not underflow-safe\n // (at least not on Intel GPUs). So the safe solution is\n // to ensure underflow-safety in all cases.\n setOutput(\n mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n );\n }\n `}};function pA(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function a9(r){let{inputs:e,backend:t}=r,{x:o}=e,n=t.texData.get(o.dataId),s=new Eh(o.shape),a=[pA(o,n.complexTensorInfos.real),pA(o,n.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var cA={kernelName:_i,backendName:\"webgl\",kernelFunc:a9};var Rh=class{constructor(e){this.outputShape=[],this.outputShape=C.computeOutShape(e,1),this.variableNames=e.map((a,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a`T${g}`);let p=new Array(e.length-1);p[0]=e[0][t];for(let h=1;h= ${p[h-1]}) {\n return getChannel(\n getT${h}(${Dh(i,u,g)}),\n vec2(${Dh(c,u,g)}));\n }`}let d=p.length,f=p[p.length-1];m+=`\n return getChannel(\n getT${d}(${Dh(i,u,f)}),\n vec2(${Dh(c,u,f)}));`,this.userCode=`\n float getValue(${i.map(h=>\"int \"+h)}) {\n ${m}\n }\n\n void main() {\n ${s} coords = getOutputCoords();\n vec4 result = vec4(getValue(${a}), 0., 0., 0.);\n\n ${a[n-1]} = ${a[n-1]} + 1;\n if (${a[n-1]} < ${o[n-1]}) {\n result.g = getValue(${a});\n }\n\n ${a[n-2]} = ${a[n-2]} + 1;\n if (${a[n-2]} < ${o[n-2]}) {\n result.a = getValue(${a});\n }\n\n ${a[n-1]} = ${a[n-1]} - 1;\n if (${a[n-2]} < ${o[n-2]} &&\n ${a[n-1]} < ${o[n-1]}) {\n result.b = getValue(${a});\n }\n setOutput(result);\n }\n `}};function Dh(r,e,t){let o=r.indexOf(e);return r.map((s,a)=>a===o?`${s} - ${t}`:s).join()}function wp(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.imag},backend:t})}var lA={kernelName:Mi,backendName:\"webgl\",kernelFunc:wp};function Bc(r,e,t){let o=r[0].dtype;if(o===\"complex64\"){let d=r.map(b=>gi({inputs:{input:b},backend:t})),f=r.map(b=>wp({inputs:{input:b},backend:t})),h=Bc(d,e,t),g=Bc(f,e,t),x=Fr({inputs:{real:h,imag:g},backend:t});return d.forEach(b=>t.disposeIntermediateTensorInfo(b)),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),x}let n=t.shouldExecuteOnCPU(r);if(o===\"string\"&&(n=!0),n){let d=r.map(S=>{let _=[-1,y.sizeFromShape(S.shape.slice(e))];return te({inputs:{x:S},backend:t,attrs:{shape:_}})}),f=d.map(S=>({vals:t.readSync(S.dataId),shape:S.shape})),h=C.computeOutShape(d.map(S=>S.shape),1),g=d[0].shape[0]===1,x=fR(f,h,o,g),b=C.computeOutShape(r.map(S=>S.shape),e),w=t.makeTensorInfo(b,o,x);return d.forEach(S=>t.disposeIntermediateTensorInfo(S)),w}let s=r.filter(d=>y.sizeFromShape(d.shape)>0),a=P().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")&&s[0].shape.length>1;if(s.length===1){let d=a?new tr(r[0].shape,Ra):new Ar(r[0].shape,Ra);return t.runWebGLProgram(d,r,o)}let i=P().getNumber(\"WEBGL_MAX_TEXTURES_IN_SHADER\");if(s.length>i){let d=[];for(let h=0;hf.shape),e);return t.runWebGLProgram(d,s,o)}let{tensors2D:p,outShape:u}=i9(s,e,t),c=new Rh(p.map(d=>d.shape)),l=t.runWebGLProgram(c,p,o);p.forEach(d=>t.disposeIntermediateTensorInfo(d));let m=te({inputs:{x:l},attrs:{shape:u},backend:t});return t.disposeIntermediateTensorInfo(l),m}function i9(r,e,t){let o=C.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>te({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:o}}function sv(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?Dt({inputs:{x:p[0]},backend:t}):Bc(p,s,t)}var mA={kernelName:Ys,backendName:\"webgl\",kernelFunc:sv};var zc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,p=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,l=e.dilationWidth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat===\"channelsLast\",x=g?1:2,b=g?2:3,w=g?3:1,S=\"\",k=\"\";o&&(n?S=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${o}\n }`:s?S=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${o}\n }`:S=`\n float activation(float x) {\n ${o}\n }\n `,k=\"result = activation(result);\");let _=t?\"result += getBiasAtOutCoords();\":\"\";t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${S}\n\n const ivec2 strides = ivec2(${p}, ${u});\n const ivec2 pads = ivec2(${a}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[${w}];\n\n ivec2 xRCCorner =\n ivec2(coords[${x}], coords[${b}]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${c};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${d}; wC++) {\n int xC = xCCorner + wC * ${l};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${f}; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (${g}) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (${h===1}) {\n\n if (${g}) {\n dotProd +=\n getX(batch, xR, xC, ${f}) *\n getW(wR, wC, ${f}, d2);\n } else {\n dotProd +=\n getX(batch, ${f}, xR, xC) *\n getW(wR, wC, ${f}, d2);\n }\n\n } else if (${h===2}) {\n vec2 wValues = vec2(\n getW(wR, wC, ${f}, d2),\n getW(wR, wC, ${f} + 1, d2)\n );\n\n if (${g}) {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ${f}),\n getX(batch, xR, xC, ${f} + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ${f}, xR, xC),\n getX(batch, ${f} + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (${h===3}) {\n vec3 wValues = vec3(\n getW(wR, wC, ${f}, d2),\n getW(wR, wC, ${f} + 1, d2),\n getW(wR, wC, ${f} + 2, d2)\n );\n\n if (${g}) {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ${f}),\n getX(batch, xR, xC, ${f} + 1),\n getX(batch, xR, xC, ${f} + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ${f}, xR, xC),\n getX(batch, ${f} + 1, xR, xC),\n getX(batch, ${f} + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ${_}\n ${k}\n setOutput(result);\n }\n `}},Fh=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let t=e.padInfo.front,o=e.padInfo.top,n=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=`\n const ivec3 strides = ivec3(${s}, ${a}, ${i});\n const ivec3 pads = ivec3(${t}, ${o}, ${n});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ${l}; wF++) {\n int xF = xFCorner + wF * ${p};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int wR = 0; wR < ${m}; wR++) {\n int xR = xRCorner + wR * ${u};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int wC = 0; wC < ${d}; wC++) {\n int xC = xCCorner + wC * ${c};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n for (int d1 = 0; d1 < ${f}; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (${h===1}) {\n dotProd +=\n getX(batch, xF, xR, xC, ${f}) *\n getW(wF, wR, wC, ${f}, d2);\n } else if (${h===2}) {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ${f}),\n getX(batch, xF, xR, xC, ${f} + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ${f}, d2),\n getW(wF, wR, wC, ${f} + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (${h===3}) {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ${f}),\n getX(batch, xF, xR, xC, ${f} + 1),\n getX(batch, xF, xR, xC, ${f} + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ${f}, d2),\n getW(wF, wR, wC, ${f} + 1, d2),\n getW(wF, wR, wC, ${f} + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};var Vc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.padInfo.left,i=e.strideWidth,p=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,l=c,m=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) {\n `;for(let g=0;g<(l+1)/2;g++){let x=g*2;if(m+=`\n xC = xCCorner + ${x*p};\n `,i===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n `,p===1&&x>0?m+=`\n xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);\n `:m+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${x} = vec4(previous.zw, xTexelC${x}.xy);\n } else {\n xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);\n }\n `):m+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xC${x} = xTexelC${x};\n `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n `,p>1?m+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);\n } else {\n xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);\n }\n `:m+=`\n xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);\n `):b===1?m+=`\n xC${x+1} = xTexelC${x};\n `:m+=`\n xCOffset = xC + ${b};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x+1} = xTexelC${x+1};\n `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.0);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);\n `,x+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);\n `)):(m+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {\n xTexelC${x} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${x}.zw = vec2(0.0);\n }\n xTexelC${x}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {\n xTexelC${x+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${x+1}.zw = vec2(0.);\n }\n xTexelC${x+1}Ready = 1;\n }\n\n xC${x} = vec4(\n xTexelC${x}.xy, xTexelC${x+1}.xy);\n `,x+1= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[${i}] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (${s}) {\n innerDims = vec2(d1, ch);\n result[${c*2+l}] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[${c*2+l}] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n `;this.userCode=`\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ${u}\n\n ${n.output} = result;\n }\n `}};function Oh(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Mh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=r.shape,u=o.texData.get(r.dataId),c=t.inChannels,l=p[0]*p[1]*p[2],m=t.outChannels,d=t.dataFormat===\"channelsLast\",f=!1,h=!1,g,x=[];if(s!=null){let S=Oh(s.shape,d);S!=null&&(s=te({inputs:{x:s},backend:o,attrs:{shape:S}}),x.push(s))}if(n!=null){let S=Oh(n.shape,d);S!=null&&(n=te({inputs:{x:n},backend:o,attrs:{shape:S}}),x.push(n))}if(!((l===1||m===1)&&c>tv)&&u.isPacked&&d&&u.texture!=null&&p[2]%2!==0&&y.arraysEqual(u.shape.slice(-3),p.slice(-3))){let S=p[0]*p[1]*(p[2]+1),k={dataId:r.dataId,shape:[1,S,t.inChannels],dtype:r.dtype},_=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(fu(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let E=te({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(E);let R=Cp({a:k,b:E,backend:o,transposeA:f,transposeB:h,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),D=o.texData.get(R.dataId);y.assert(D.isPacked,()=>\"batchMatMul result is expected to be packed\"),u.shape=_,D.shape=t.outShape,g=Dt({inputs:{x:R},backend:o}),g.shape=t.outShape,x.push(R)}else{let S=t.outHeight*t.outWidth,k=te({inputs:{x:r},backend:o,attrs:{shape:d?[t.batchSize,S,t.inChannels]:[t.batchSize,t.inChannels,S]}}),_=te({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}}),E=Cp({a:d?k:_,b:d?_:k,transposeA:!d,transposeB:h,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=te({inputs:{x:E},backend:o,attrs:{shape:t.outShape}}),x.push(k),x.push(_),x.push(E)}for(let S of x)o.disposeIntermediateTensorInfo(S);return g}function Lh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,outWidth:l,outHeight:m,dataFormat:d}=t,f=d===\"channelsLast\",h=p*u*c,g=m*l,x=[t.batchSize,h,g],b=!0,w=!1,S=[];if(s!=null){let H=Oh(s.shape,f);H!=null&&(s=te({inputs:{x:s},backend:o,attrs:{shape:H}}),S.push(s))}if(n!=null){let H=Oh(n.shape,f);H!=null&&(n=te({inputs:{x:n},backend:o,attrs:{shape:H}}),S.push(n))}let k=te({inputs:{x:e},backend:o,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});S.push(k);let _=new Ph(x,t),E=[r.shape,[t.padInfo.top,t.padInfo.left],[t.strideHeight,t.strideWidth],[t.dilationHeight,t.dilationWidth],[t.inChannels],[t.filterWidth*t.inChannels],[t.outWidth]],R=o.runWebGLProgram(_,[r],\"float32\",E),D=te({inputs:{x:R},backend:o,attrs:{shape:x}});S.push(R),S.push(D);let F=n!=null,O=s!=null,M=i===\"leakyrelu\",L=i?hi(i,!0):null,B=new Lc(f?D.shape:k.shape,f?k.shape:D.shape,f?[t.batchSize,g,t.outChannels]:[t.batchSize,t.outChannels,g],b,w,F,L,O,M),z=f?[D,k]:[k,D];if(n&&z.push(n),O&&z.push(s),M){let H=o.makeTensorInfo([],\"float32\",y.createScalarValue(a,\"float32\"));z.push(H),S.push(H)}let U=o.runWebGLProgram(B,z,\"float32\"),j=te({inputs:{x:U},backend:o,attrs:{shape:t.outShape}});S.push(U);for(let H of S)o.disposeIntermediateTensorInfo(H);return j}function u9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type===\"SAME\"||m.padInfo.type===\"VALID\"))d=Mh({x:n,filter:s,convInfo:m,backend:t});else if(m.strideWidth<=2&&l===\"channelsLast\"&&P().getBool(\"WEBGL_EXP_CONV\")){let h=new Vc(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];d=t.runWebGLProgram(h,[n,s],\"float32\",g)}else if(P().getBool(\"WEBGL_CONV_IM2COL\"))d=Lh({x:n,filter:s,convInfo:m,backend:t});else{let h=new zc(m);d=t.runWebGLProgram(h,[n,s],\"float32\")}let f=te({inputs:{x:d},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(d),f}var dA={kernelName:en,backendName:\"webgl\",kernelFunc:u9};var Bh=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat===\"channelsLast\";this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${n};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${s};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n ${a?`float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);`:`float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);`}\n }\n }\n }\n setOutput(dotProd);\n }\n `}},zh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dataFormat===\"channelsLast\",i=t-1-e.padInfo.top,p=o-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${p});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[${l}];\n\n ivec2 dyCorner = ivec2(coords[${u}], coords[${c}]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n\n if (${a}) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n `}},Vh=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=`\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yF = 0; yF < ${e.outDepth}; yF++) {\n int xF = wF + yF * ${t} - ${s};\n\n if (xF < 0 || xF >= ${e.inDepth}) {\n continue;\n }\n\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${o} - ${a};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${n} - ${i};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}},Wh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=t-1-e.padInfo.front,u=o-1-e.padInfo.top,c=n-1-e.padInfo.left;this.userCode=`\n const ivec3 pads = ivec3(${p}, ${u}, ${c});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < ${t}; wF++) {\n float dyF = float(dyFCorner + wF) / ${s}.0;\n\n if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ${t} - 1 - wF;\n\n for (int wR = 0; wR < ${o}; wR++) {\n float dyR = float(dyRCorner + wR) / ${a}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${o} - 1 - wR;\n\n for (int wC = 0; wC < ${n}; wC++) {\n float dyC = float(dyCCorner + wC) / ${i}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${n} - 1 - wC;\n\n for (int d2 = 0; d2 < ${e.outChannels}; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function p9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new Bh(m);return t.runWebGLProgram(d,[n,s],\"float32\")}var fA={kernelName:$i,backendName:\"webgl\",kernelFunc:p9};var Uh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"strides\",type:\"vec2\"}],this.outputShape=e.inShape,this.enableShapeUniforms=ut(this.outputShape.length);let t=e.filterHeight,o=e.filterWidth,n=t-1-e.padInfo.top,s=o-1-e.padInfo.left;this.userCode=`\n const ivec2 pads = ivec2(${n}, ${s});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n\n ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n vec4 result = vec4(0.);\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / strides[0];\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n int wCPerm = ${o} - 1 - wC;\n\n float dyC = float(dyCCorner + wC) / strides[1];\n bool idyCVal = (dyC >= 0.0) && (dyC < ${e.outWidth}.0)\n && (fract(dyC) == 0.0);\n int idyC = int(dyC);\n\n float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ${e.outWidth}.0)\n && (fract(dyC2) == 0.0);\n int idyC2 = int(dyC2);\n\n if (idyCVal && idyCVal2) {\n for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n dySample : getDy(batch, idyR, idyC2, d2);\n\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n\n dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample2.xy : dySample2.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal) {\n for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal2) {\n for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC2, d2);\n vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n }\n }\n }\n setOutput(result);\n }\n `}};function c9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(u),m=C.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l);if(P().getBool(\"WEBGL_PACK\")&&l===\"channelsLast\"){let d=[[m.strideHeight,m.strideWidth]],f=new Uh(m);return t.runWebGLProgram(f,[n,s],\"float32\",d)}else{let d=new zh(m);return t.runWebGLProgram(d,[n,s],\"float32\")}}var hA={kernelName:tn,backendName:\"webgl\",kernelFunc:c9};function l9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeConv3DInfo(n.shape,s.shape,a,p,i),c=new Fh(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var gA={kernelName:rn,backendName:\"webgl\",kernelFunc:l9};function m9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=C.computeConv3DInfo(n.shape,p,a,1,i),c=new Vh(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var xA={kernelName:za,backendName:\"webgl\",kernelFunc:m9};function d9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{pad:a,strides:i,inputShape:p}=o,u=C.computeConv3DInfo(p,s.shape,i,1,a),c=new Wh(u);return t.runWebGLProgram(c,[n,s],\"float32\")}var yA={kernelName:on,backendName:\"webgl\",kernelFunc:d9};var f9=Do+`\n return cos(x);\n`,h9=`\n vec4 result = cos(x);\n bvec4 isNaN = isnan(x);\n ${Kr}\n return result;\n`,g9=ge({opSnippet:f9,packedOpSnippet:h9}),bA={kernelName:nn,backendName:\"webgl\",kernelFunc:g9};var x9=`\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n`,y9=ge({opSnippet:x9}),CA={kernelName:sn,backendName:\"webgl\",kernelFunc:y9};var Gh=class{constructor(e,t,o,n,s){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];let[a,i,p,u]=e,[c]=t,[l,m]=o;this.outputShape=[c,l,m,u];let d=n===\"bilinear\"?1:0,[f,h]=[`${i-1}.0`,`${p-1}.0`],[g,x,b]=l>1?[`${(i-1)/(l-1)}`,\"(y2-y1) * height_ratio\",`y1*${f} + float(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${f}`],[w,S,k]=m>1?[`${(p-1)/(m-1)}`,\"(x2-x1) * width_ratio\",`x1*${h} + float(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${h}`];this.userCode=`\n const float height_ratio = float(${g});\n const float width_ratio = float(${w});\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ${a}) {\n return;\n }\n\n float height_scale = ${x};\n float width_scale = ${S};\n\n float in_y = ${b};\n if( in_y < 0.0 || in_y > ${f} ) {\n setOutput(float(${s}));\n return;\n }\n float in_x = ${k};\n if( in_x < 0.0 || in_x > ${h} ) {\n setOutput(float(${s}));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(${d} == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n `}};var b9=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new Gh(n.shape,s.shape,i,p,u);return t.runWebGLProgram(c,[n,s,a],\"float32\")},wA={kernelName:pn,backendName:\"webgl\",kernelFunc:b9};var Sp;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Sp||(Sp={}));var em=class{constructor(e,t,o,n){this.op=e,this.outputShape=t,this.variableNames=[\"x\"],this.customUniforms=[{name:\"index\",type:\"float\"}];let s=this.outputShape.length,a=this.op===Sp.Prod?\"1.0\":\"0.0\",i=o?a:`getX(${SA(s,\"coords\",this.op)})`,p=this.outputShape[this.outputShape.length-1],u=\"\",c=\"\";o?(u=n?`end != ${p-1}`:\"end != 0\",c=n?\"end + 1\":\"end - 1\"):(u=n?`end + pow2 < ${p}`:\"end >= pow2\",c=n?\"end + pow2\":\"end - pow2\"),this.userCode=`\n void main() {\n ${Re(s)} coords = getOutputCoords();\n int end = ${IA(s,\"coords\",this.op)};\n float val = ${i};\n int pow2 = int(pow(2.0, index));\n if (${u}) {\n int idx = ${c};\n ${IA(s,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${SA(s,\"coords\",this.op)});\n }\n setOutput(val);\n }\n `}};function SA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function IA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Hh(r,e,t,o,n,s){let a=e.shape.length,i=C.getAxesPermutation([o],a),p=e;i!=null&&(p=bt({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=C.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=Dt({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new em(r,p.shape,!1,s),f=[[m]],h=l;l=t.runWebGLProgram(d,[l],l.dtype,f),t.disposeIntermediateTensorInfo(h)}if(n){let m=new em(r,p.shape,n,s),d=l;l=t.runWebGLProgram(m,[l],l.dtype),t.disposeIntermediateTensorInfo(d)}if(i!=null){let m=C.getUndoAxesPermutation(i),d=bt({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(p),d}return l}function C9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Hh(Sp.Prod,n,t,s,a,i)}var vA={kernelName:an,backendName:\"webgl\",kernelFunc:C9};function w9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Hh(Sp.Sum,n,t,s,a,i)}var kA={kernelName:un,backendName:\"webgl\",kernelFunc:w9};function S9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o;if(n.shape.length===1){let p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=ah(p,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(n.shape.length===2){let p=t.bufferSync(n),u=t.bufferSync(s),c=lR(p,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`)}var NA={kernelName:Qs,backendName:\"webgl\",kernelFunc:S9};var Kh=class{constructor(e,t,o){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=o,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ${this.getHeightCoordString()};\n int w = ${this.getWidthCoordString()};\n int d = ${this.getDepthCoordString()};\n\n int in_h = h / ${t};\n int offset_h = imod(h, ${t});\n int in_w = w / ${t};\n int offset_w = imod(w, ${t});\n int offset_d = (offset_h * ${t} + offset_w) *\n ${this.getOutputDepthSize()};\n int in_d = d + offset_d;\n\n float result = ${this.getInputSamplingString()};\n setOutput(result);\n }\n `}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function I9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=new Kh(f,s,a);return t.runWebGLProgram(h,[n],n.dtype)}var TA={kernelName:cn,backendName:\"webgl\",kernelFunc:I9};var Wc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.filterHeight,i=e.filterWidth,p=e.outChannels/e.inChannels,u=\"\",c=\"\";o&&(n?u=`float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ${o}\n }`:s?u=`float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ${o}\n }`:u=`\n float activation(float x) {\n ${o}\n }\n `,c=\"result = activation(result);\");let l=t?\"result += getBiasAtOutCoords();\":\"\";t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),s&&this.variableNames.push(\"leakyreluAlpha\"),this.userCode=`\n ${u}\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ${p};\n int q = d2 - d1 * ${p};\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < ${a}; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ${i}; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n ${l}\n ${c}\n setOutput(result);\n }\n `}};var Uc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=[\"x\",\"W\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"pads\",type:\"ivec2\"},{name:\"strides\",type:\"ivec2\"},{name:\"dilations\",type:\"ivec2\"},{name:\"inDims\",type:\"ivec2\"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.outChannels/e.inChannels,i=e.padInfo.left,p=e.strideWidth,u=e.dilationWidth,c=e.filterHeight,l=e.filterWidth,m=l,d=`\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x=0 && xR < inDims[0]) {\n `;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(d+=`\n xC = xCCorner + ${b*u};\n `,p===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n `,u===1&&b>0?d+=`\n xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy);\n `:d+=`\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC${b} = vec4(previous.zw, xTexelC${b}.xy);\n } else {\n xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy);\n }\n `):d+=`\n if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xC${b} = xTexelC${b};\n `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n `,u>1?d+=`\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);\n } else {\n xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);\n }\n `:d+=`\n xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);\n `):w===1?d+=`\n xC${b+1} = xTexelC${b};\n `:d+=`\n xCOffset = xC + ${w};\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b+1} = xTexelC${b+1};\n `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.0);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw);\n `,b+1= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy);\n `)):(d+=`\n if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) {\n xTexelC${b} = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC${b}.zw = vec2(0.0);\n }\n xTexelC${b}Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) {\n xTexelC${b+1} = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC${b+1}.zw = vec2(0.);\n }\n xTexelC${b+1}Ready = 1;\n }\n\n xC${b} = vec4(\n xTexelC${b}.xy, xTexelC${b+1}.xy);\n `,b+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let l=C.computeConv2DInfo(n.shape,s.shape,a,c,i,u,!0),m;P().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&l.strideWidth<=2&&l.outChannels/l.inChannels===1?m=new Uc(l):m=new Wc(l);let d=[[l.padInfo.top,l.padInfo.left],[l.strideHeight,l.strideWidth],[l.dilationHeight,l.dilationWidth],[l.inHeight,l.inWidth]];return t.runWebGLProgram(m,[n,s],\"float32\",d)}var _A={kernelName:ln,backendName:\"webgl\",kernelFunc:v9};var qh=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ${a} + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ${e.batchSize}; b++) {\n for (int yR = 0; yR < ${e.outHeight}; yR++) {\n int xR = wR + yR * ${t} - ${n};\n\n if (xR < 0 || xR >= ${e.inHeight}) {\n continue;\n }\n\n for (int yC = 0; yC < ${e.outWidth}; yC++) {\n int xC = wC + yC * ${o} - ${s};\n\n if (xC < 0 || xC >= ${e.inWidth}) {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n `}},jh=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=o-1-e.padInfo.left,p=e.outChannels/e.inChannels;this.userCode=`\n const ivec2 pads = ivec2(${a}, ${i});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < ${t}; wR++) {\n float dyR = float(dyRCorner + wR) / ${n}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ${t} - 1 - wR;\n\n for (int wC = 0; wC < ${o}; wC++) {\n float dyC = float(dyCCorner + wC) / ${s}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ${o} - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm < ${p}; dm++) {\n int d2 = d1 * ${p} + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function k9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=C.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new qh(l);return t.runWebGLProgram(m,[n,s],\"float32\")}var $A={kernelName:Ei,backendName:\"webgl\",kernelFunc:k9};function N9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=C.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new jh(l);return t.runWebGLProgram(m,[n,s],\"float32\")}var EA={kernelName:Ri,backendName:\"webgl\",kernelFunc:N9};var Xh=class{constructor(e){this.variableNames=[\"X\"],this.outputShape=[e,e],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n `}};function T9(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=te({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new Xh(s),p=t.runWebGLProgram(i,[a],a.dtype),u=te({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(p),u}var RA={kernelName:Zs,backendName:\"webgl\",kernelFunc:T9};var Yh=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;let{inHeight:t,inWidth:o,padInfo:n,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:p,dilationHeight:u,dilationWidth:c}=e,{top:l,left:m}=n;this.userCode=`\n const ivec2 strides = ivec2(${s}, ${a});\n const ivec2 pads = ivec2(${l}, ${m});\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; h < ${i}; h++) {\n int hIn = hBeg + h * ${u};\n\n if (hIn >= 0 && hIn < ${t}) {\n for (int w = 0; w < ${p}; w++) {\n int wIn = wBeg + w * ${c};\n\n if (wIn >= 0 && wIn < ${o}) {\n float xVal = getX(batch, hIn, wIn, d1);\n float wVal = getW(h, w, d1);\n\n float val = xVal + wVal;\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n float result = curVal;\n setOutput(result);\n }\n `}};function _9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeDilation2DInfo(n.shape,s.shape,a,i,\"NHWC\",p),c,l=new Yh(u);c=t.runWebGLProgram(l,[n,s],\"float32\");let m=te({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var DA={kernelName:mn,backendName:\"webgl\",kernelFunc:_9};function $9(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=C.decodeEinsumEquation(n,s.length);C.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=C.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=bp({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var AA={kernelName:Fi,backendName:\"webgl\",kernelFunc:$9};var E9=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",R9=`\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n`,D9=ge({opSnippet:E9,packedOpSnippet:R9}),FA={kernelName:fn,backendName:\"webgl\",kernelFunc:D9};var A9=\"return (b >= 0.0) ? a : a * (b + 1.0);\",F9=`\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`,P9=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=P().getBool(\"WEBGL_PACK_BINARY_OPERATIONS\")?new Ro(F9,o.shape,n.shape):new lo(A9,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],o.dtype)},PA={kernelName:Va,backendName:\"webgl\",kernelFunc:P9};var O9=`\n return vec4(equal(a, b));\n`,M9=\"return float(a == b);\",L9=nt({opSnippet:M9,packedOpSnippet:O9,dtype:\"bool\",cpuKernelImpl:hR}),OA={kernelName:hn,backendName:\"webgl\",kernelFunc:L9};var B9=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n float p = ${C.ERF_P};\n float a1 = ${C.ERF_A1};\n float a2 = ${C.ERF_A2};\n float a3 = ${C.ERF_A3};\n float a4 = ${C.ERF_A4};\n float a5 = ${C.ERF_A5};\n\n float sign = sign(x);\n x = abs(x);\n float t = 1.0 / (1.0 + p * x);\n return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`,z9=ge({opSnippet:B9}),MA={kernelName:Wa,backendName:\"webgl\",kernelFunc:z9};var V9=Do+`\n return exp(x);\n`,W9=`\n vec4 result = exp(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,av=ge({opSnippet:V9,packedOpSnippet:W9,cpuKernelImpl:gR,dtype:\"float32\"}),LA={kernelName:gn,backendName:\"webgl\",kernelFunc:av};function Qh(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),te({inputs:{x:s},backend:o,attrs:{shape:i}})}var BA={kernelName:Js,backendName:\"webgl\",kernelFunc:Qh};var zA=\"return exp(x) - 1.0;\",U9=ge({opSnippet:zA,packedOpSnippet:zA,cpuKernelImpl:xR}),VA={kernelName:xn,backendName:\"webgl\",kernelFunc:U9};var tm=class{constructor(e,t,o){this.variableNames=[\"real\",\"imag\"];let n=t[1];this.outputShape=t;let s=o?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=o?`${n}.0`:\"1.0\",i;if(e===\"real\")i=\"return real * expR - imag * expI;\";else if(e===\"imag\")i=\"return real * expI + imag * expR;\";else throw new Error(`FFT component must be either \"real\" or \"imag\", got ${e}.`);this.userCode=`\n const float exponentMultiplier = ${s};\n\n float unaryOpComplex(float real, float expR, float imag, float expI) {\n ${i}\n }\n\n float mulMatDFT(int batch, int index) {\n float indexRatio = float(index) / float(${n});\n float exponentMultiplierTimesIndexRatio =\n exponentMultiplier * indexRatio;\n\n float result = 0.0;\n\n for (int i = 0; i < ${n}; i++) {\n // x = (-2|2 * PI / N) * index * i;\n float x = exponentMultiplierTimesIndexRatio * float(i);\n float expR = cos(x);\n float expI = sin(x);\n float real = getReal(batch, i);\n float imag = getImag(batch, i);\n\n result +=\n unaryOpComplex(real, expR, imag, expI) / ${a};\n }\n\n return result;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n setOutput(mulMatDFT(coords[0], coords[1]));\n }\n `}};function Zh(r,e,t){let o=t.texData.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=te({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),p=i.shape,u=new tm(\"real\",p,e),c=new tm(\"imag\",p,e),l=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:p},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:p}],m=t.runWebGLProgram(u,l,\"float32\"),d=t.runWebGLProgram(c,l,\"float32\"),f=Fr({inputs:{real:m,imag:d},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d);let h=te({inputs:{x:f},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(f),h}function G9(r){let{inputs:e,backend:t}=r,{input:o}=e;return Zh(o,!1,t)}var WA={kernelName:Pi,backendName:\"webgl\",kernelFunc:G9};var Jh=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:\"value\",type:\"float\"}],this.variableNames=[\"x\"],this.outputShape=e,this.userCode=`\n void main() {\n // Input can be obtained from uniform value.\n setOutput(value);\n }\n `}};function xi(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s===\"string\"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Jh(o,n),i=[[n]];return e.runWebGLProgram(a,[],s,i)}}var UA={kernelName:ea,backendName:\"webgl\",kernelFunc:xi};var eg=class{constructor(e){this.variableNames=[\"Image\"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n\n int coordX = ${t} - x - 1;\n float outputValue;\n if(coordX >= 0 && coordX < ${t}) {\n outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n } else {\n outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var GA={kernelName:yn,backendName:\"webgl\",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new eg(t.shape);return o.runWebGLProgram(n,[t],t.dtype)}};var HA=\"return floor(x);\",H9=ge({opSnippet:HA,packedOpSnippet:HA,cpuKernelImpl:yR}),KA={kernelName:bn,backendName:\"webgl\",kernelFunc:H9};var K9=`\n float s = sign(a) * sign(b);\n int ia = round(a);\n int ib = round(b);\n if (ib != 0) {\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n return float(idiv(ia, ib, s));\n } else {\n return NAN;\n }\n`,q9=`\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n`,j9=nt({opSnippet:K9,packedOpSnippet:q9,dtype:\"int32\"}),qA={kernelName:Cn,backendName:\"webgl\",kernelFunc:j9};var tg=class{constructor(e){this.variableNames=[\"A\"];let t=It(),[o,n]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${n}.0, ${o}.0);\n\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n setOutput(floor(value * 255.0 + 0.5));\n }\n `}};var rg=class{constructor(e){this.variableNames=[\"A\"],this.packedInputs=!1,this.packedOutput=!0;let t=It(),[o,n]=e;this.outputShape=e,this.userCode=`\n void main() {\n ivec3 coords = getOutputCoords();\n int texR = coords[0];\n int texC = coords[1];\n int depth = coords[2];\n\n vec4 result = vec4(0.);\n\n for(int row=0; row<=1; row++) {\n for(int col=0; col<=1; col++) {\n texC = coords[1] + row;\n depth = coords[2] + col;\n\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(${n}.0, ${o}.0);\n vec4 values = ${t.texture2D}(A, uv);\n float value;\n if (depth == 0) {\n value = values.r;\n } else if (depth == 1) {\n value = values.g;\n } else if (depth == 2) {\n value = values.b;\n } else if (depth == 3) {\n value = values.a;\n }\n\n result[row * 2 + col] = floor(value * 255.0 + 0.5);\n }\n }\n\n ${t.output} = result;\n }\n `}};var jA={kernelName:$u,backendName:\"webgl\",kernelFunc:X9},Gc,iv=P().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function X9(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o,a=typeof HTMLVideoElement!=\"undefined\"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!=\"undefined\"&&n instanceof HTMLImageElement,[p,u]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],c=[u,p],l=[u,p,s];if(i||a){let h=P().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Gc==null||h!==iv)&&(iv=h,Gc=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:iv})),Gc.canvas.width=p,Gc.canvas.height=u,Gc.drawImage(n,0,0,p,u),n=Gc.canvas}let m=t.makeTensorInfo(c,\"int32\");t.texData.get(m.dataId).usage=mr.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(m.dataId),n);let d=P().getBool(\"WEBGL_PACK\")?new rg(l):new tg(l),f=t.runWebGLProgram(d,[m],\"int32\");return t.disposeData(m.dataId),f}function Y9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=C.convertConv2DDataFormat(c),g=C.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h),x,b=[],w=a!=null,S=i!=null,k=d===\"leakyrelu\",_=()=>{let R=[n,s],D=(F,O)=>{if(O===\"NCHW\"&&F.shape.length===1&&F.shape[0]!==1){let M=te({inputs:{x:F},backend:t,attrs:{shape:[F.shape[0],1,1]}});return b.push(M),M}return F};if(w&&R.push(D(a,c)),S&&R.push(D(i,c)),k){let F=t.makeTensorInfo([],\"float32\",y.createScalarValue(f,\"float32\"));R.push(F),b.push(F)}return R};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type===\"SAME\"||g.padInfo.type===\"VALID\"))x=Mh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else if(g.strideWidth<=2&&h===\"channelsLast\"&&P().getBool(\"WEBGL_EXP_CONV\")){let R=d?hi(d,!0):null,D=new Vc(g,w,R,S,k),F=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],O=_();x=t.runWebGLProgram(D,O,\"float32\",F)}else if(P().getBool(\"WEBGL_CONV_IM2COL\"))x=Lh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else{let R=d?hi(d,!1):null,D=new zc(g,w,R,S,k),F=_();x=t.runWebGLProgram(D,F,\"float32\")}let E=te({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(R=>t.disposeIntermediateTensorInfo(R)),E}var XA={kernelName:Co,backendName:\"webgl\",kernelFunc:Y9};function Q9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=[],h=c;h==null&&(h=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(p,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`);let g=C.computeConv2DInfo(n.shape,s.shape,p,h,u,l,!0),x=P().getBool(\"WEBGL_PACK_DEPTHWISECONV\")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?hi(m,x):null,w=[n,s],S=a!=null,k=i!=null,_=m===\"leakyrelu\";if(S&&w.push(a),k&&w.push(i),_){let F=t.makeTensorInfo([],\"float32\",y.createScalarValue(d,\"float32\"));w.push(F),f.push(F)}let E;x?E=new Uc(g,S,b,k,_):E=new Wc(g,S,b,k,_);let R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],D=t.runWebGLProgram(E,w,\"float32\",R);return f.forEach(F=>t.disposeIntermediateTensorInfo(F)),D}var YA={kernelName:wo,backendName:\"webgl\",kernelFunc:Q9};var og=class{constructor(e,t,o,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=[\"x\",\"indices\"],this.outputShape=o;let s=Re(o.length),a=`\n int index;`;for(let i=0;i= ${this.paramsShape[i]};\n flattenIndex += index * ${this.strides[i]};`;this.userCode=`\n void main() {\n ${s} coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n ${a}\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n `}};function Z9(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=C.prepareAndValidate(o,n),m=te({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=te({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype===\"string\"){let x=t.readSync(n.dataId),b=t.bufferSync(o),w=bR(x,b,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,w.values)}let f=new og(a,l,[u,c],o.shape),h=t.runWebGLProgram(f,[d,m],d.dtype),g=te({inputs:{x:h},backend:t,attrs:{shape:p}});return t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(h),g}var QA={kernelName:Sn,backendName:\"webgl\",kernelFunc:Z9};var ng=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.outputShape=t,this.rank=t.length;let o=Re(this.rank),n=J9(e,2);this.userCode=`\n void main() {\n ${o} resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ${e[2]}) ? 1.0 : 0.0;\n setOutput(inBounds * getA(${n}));\n }\n `}};function J9(r,e){let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[];for(let n=0;n=0,()=>`GatherV2: the index value ${k} is not in [0, ${w-1}]`)}}let u=C.segment_util.collectGatherOpShapeInfo(n,s,p,i),c=y.sizeFromShape(s.shape),l=[],m=te({inputs:{x:n},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),d=te({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});l.push(m),l.push(d);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([n,s])||n.dtype===\"string\"){let b=t.bufferSync(d),w=t.bufferSync(m),S=CR(w,b,f);return l.forEach(k=>t.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,S.dtype,S.values)}let h=new ng(m.shape,f),g=t.runWebGLProgram(h,[m,d],m.dtype);l.push(g);let x=te({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var ZA={kernelName:ta,backendName:\"webgl\",kernelFunc:uv};var eJ=\"return float(a > b);\",tJ=`\n return vec4(greaterThan(a, b));\n`,rJ=nt({opSnippet:eJ,packedOpSnippet:tJ,cpuKernelImpl:wR,dtype:\"bool\"}),JA={kernelName:In,backendName:\"webgl\",kernelFunc:rJ};var oJ=\"return float(a >= b);\",nJ=`\n return vec4(greaterThanEqual(a, b));\n`,sJ=nt({opSnippet:oJ,packedOpSnippet:nJ,dtype:\"bool\",cpuKernelImpl:SR}),eF={kernelName:vn,backendName:\"webgl\",kernelFunc:sJ};function aJ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Zh(o,!0,t)}var tF={kernelName:Oi,backendName:\"webgl\",kernelFunc:aJ};var iJ=\"return float(!isnan(x) && !isinf(x));\",uJ=ge({opSnippet:iJ,dtype:\"bool\"}),rF={kernelName:kn,backendName:\"webgl\",kernelFunc:uJ};var pJ=\"return float(isinf(x));\",cJ=ge({opSnippet:pJ,dtype:\"bool\"}),oF={kernelName:Nn,backendName:\"webgl\",kernelFunc:cJ};var lJ=\"return float(isnan(x));\",mJ=ge({opSnippet:lJ,dtype:\"bool\"}),nF={kernelName:Tn,backendName:\"webgl\",kernelFunc:mJ};var dJ=\"return float(a < b);\",fJ=`\n return vec4(lessThan(a, b));\n`,hJ=nt({opSnippet:dJ,packedOpSnippet:fJ,cpuKernelImpl:IR,dtype:\"bool\"}),sF={kernelName:$n,backendName:\"webgl\",kernelFunc:hJ};var gJ=\"return float(a <= b);\",xJ=`\n return vec4(lessThanEqual(a, b));\n`,yJ=nt({opSnippet:gJ,packedOpSnippet:xJ,cpuKernelImpl:vR,dtype:\"bool\"}),aF={kernelName:En,backendName:\"webgl\",kernelFunc:yJ};function bJ(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=kR(o,n,s);return e.makeTensorInfo([a.length],\"float32\",a)}var iF={kernelName:Rn,backendName:\"webgl\",kernelFunc:bJ};var CJ=Do+`\n return x < 0.0 ? 0./0. : log(x);\n`,wJ=`\n vec4 result = log(x);\n bvec4 isNaN = isnan(x);\n result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n return result;\n`,SJ=ge({opSnippet:CJ,packedOpSnippet:wJ,cpuKernelImpl:NR}),uF={kernelName:Dn,backendName:\"webgl\",kernelFunc:SJ};var IJ=Do+`\n return log(1.0 + x);\n`,vJ=ge({opSnippet:IJ}),pF={kernelName:An,backendName:\"webgl\",kernelFunc:vJ};var kJ=\"return float(a >= 1.0 && b >= 1.0);\",NJ=`\n return vec4(\n vec4(greaterThanEqual(a, vec4(1.0))) *\n vec4(greaterThanEqual(b, vec4(1.0))));\n`,TJ=nt({opSnippet:kJ,packedOpSnippet:NJ,dtype:\"bool\"}),cF={kernelName:Fn,backendName:\"webgl\",kernelFunc:TJ};var _J=\"return float(!(x >= 1.0));\",$J=ge({opSnippet:_J}),lF={kernelName:Pn,backendName:\"webgl\",kernelFunc:$J};var EJ=\"return float(a >= 1.0 || b >= 1.0);\",RJ=`\n return min(\n vec4(greaterThanEqual(a, vec4(1.0))) +\n vec4(greaterThanEqual(b, vec4(1.0))),\n vec4(1.0));\n`,DJ=nt({opSnippet:EJ,packedOpSnippet:RJ,dtype:\"bool\"}),mF={kernelName:On,backendName:\"webgl\",kernelFunc:DJ};var sg=class{constructor(e,t,o,n,s){this.variableNames=[\"x\"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -${a}; j <= ${a}; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= ${i}) {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * ${p};\n setOutput(val);\n }\n `}};var ag=class{constructor(e,t,o,n,s){this.variableNames=[\"x\"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords.x;\n int r = coords.y;\n int c = coords.z;\n int d = coords.w;\n\n bool hasNextCol = d < ${this.outputShape[3]};\n bool hasNextRow = c < ${this.outputShape[2]};\n\n vec4 sum = vec4(0.);\n vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n vec4 xAtOutputCoords = vec4(\n getChannel(xFragAtOutputCoords, vec2(c, d)),\n hasNextCol ?\n getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n hasNextRow ?\n getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n (hasNextRow && hasNextCol) ?\n getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n );\n\n int firstChannel = d - ${a};\n vec2 cache = vec2(0.);\n if(firstChannel >= 0){\n vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n if(hasNextRow){\n cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n }\n }\n\n ivec2 depth = ivec2(d, d + 1);\n for (int j = - ${a}; j <= ${a}; j++) {\n ivec2 idx = depth + j;\n bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));\n\n bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n if(depthInRange || depthPlusOneInRange){\n vec4 z = vec4(0.);\n vec4 xFragAtCurrentDepth;\n z.xz = cache.xy;\n if(depthPlusOneInRange && hasNextCol){\n xFragAtCurrentDepth = idx.y != d ?\n getX(b, r, c, idx.y) : xFragAtOutputCoords;\n z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n if(hasNextRow){\n z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n }\n }\n cache.xy = z.yw;\n sum += z * z;\n }\n }\n vec4 result = xAtOutputCoords * ${p};\n setOutput(result);\n }\n `}};var AJ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u=P().getBool(\"WEBGL_PACK_NORMALIZATION\")?new ag(n.shape,s,a,i,p):new sg(n.shape,s,a,i,p);return t.runWebGLProgram(u,[n],n.dtype)},dF={kernelName:Mn,backendName:\"webgl\",kernelFunc:AJ};var ig=class{constructor(e,t,o,n,s){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=o,this.alpha=n,this.beta=s,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n\n float result = 0.0;\n for (int d = 0; d < ${this.depth}; ++d) {\n int depthBegin = int(max(0.0, float(d - ${t})));\n int depthEnd = int(min(float(${this.depth}),\n float(d + ${t} + 1)));\n\n const int MIN_DEPTH_BEGIN = 0;\n const int MAX_DEPTH_END = ${this.depth};\n\n float norm = 0.0;\n for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n }\n else {\n break;\n }\n }\n\n norm = float(${n}) * norm + float(${o});\n\n for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n if (k < depthBegin){\n continue;\n }\n else if (k >= depthBegin && k < depthEnd){\n float dyi = -2.0 * float(${n})\n * float(${s})\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * ${s});\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n }\n else {\n break;\n }\n }\n }\n setOutput(result);\n }\n `}};var FJ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new ig(n.shape,i,p,u,c);return t.runWebGLProgram(l,[n,s,a],n.dtype)},fF={kernelName:Ua,backendName:\"webgl\",kernelFunc:FJ};function hF(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=te({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=qr(i,r.dtype,\"max\",o),u=te({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}function pv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=c!=null,m=t.shouldExecuteOnCPU([n]),d=n;if(l){if(m){let w=t.texData.get(d.dataId).values,S=new Array(i);for(let E=0;E`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Dt({inputs:{x:n},backend:t});let l=new Ms(c,\"max\",!1);return t.runWebGLProgram(l,[n],n.dtype)}var yF={kernelName:zn,backendName:\"webgl\",kernelFunc:LJ};function BJ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new xu(l,\"max\",!1);return t.runWebGLProgram(m,[n],n.dtype)}var bF={kernelName:ra,backendName:\"webgl\",kernelFunc:BJ};var ug=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;let t=e.strideHeight,o=e.strideWidth,n=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,p=a-1-e.padInfo.left,u=s*a-1;this.userCode=`\n const ivec2 pads = ivec2(${i}, ${p});\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ${s};\n wR += ${n}) {\n float dyR = float(dyRCorner + wR) / ${t}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${a}; wC++) {\n float dyC = float(dyCCorner + wC) / ${o}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = ${u} - int(getMaxPos(b, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue = wR * ${a} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n `}},pg=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=p-1-e.padInfo.front,m=u-1-e.padInfo.top,d=c-1-e.padInfo.left,f=p*u*c-1;this.userCode=`\n const ivec3 pads = ivec3(${l}, ${m}, ${d});\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD < ${p};\n wD += ${s}) {\n float dyD = float(dyDCorner + wD) / ${t}.0;\n\n if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {\n continue;\n }\n int idyD = int(dyD);\n\n for (int wR = 0; wR < ${u};\n wR += ${a}) {\n float dyR = float(dyRCorner + wR) / ${o}.0;\n\n if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < ${c};\n wC += ${i}) {\n float dyC = float(dyCCorner + wC) / ${n}.0;\n\n if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n int maxPosValue = ${f} -\n int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n int curPosValue =\n wD * ${u} * ${c} +\n wR * ${c} + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n }\n setOutput(dotProd);\n }\n `}};function zJ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=C.computePool3DInfo(a.shape,i,p,l,u,c),d=new xu(m,\"max\",!0),f=t.runWebGLProgram(d,[a],a.dtype),h=new pg(m),g=t.runWebGLProgram(h,[n,f],a.dtype);return t.disposeIntermediateTensorInfo(f),g}var CF={kernelName:Li,backendName:\"webgl\",kernelFunc:zJ};function VJ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;Ps([s,a],\"maxPoolGrad\");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=C.computePool2DInfo(i.shape,p,u,1,c,l),d=!0,f=new Ms(m,\"max\",d),h=t.runWebGLProgram(f,[i],i.dtype),g=new ug(m),x=t.runWebGLProgram(g,[n,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var wF={kernelName:Hp,backendName:\"webgl\",kernelFunc:VJ};function SF(r,e,t,o){let n=new Ms(t,\"max\",!1),s=o.runWebGLProgram(n,[r],\"float32\");n=new Ms(t,\"max\",!0,!0,e);let a=o.runWebGLProgram(n,[r],\"float32\");return[s,a]}var IF={kernelName:Bi,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;y.assert(o.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.shape.length}.`);let u=[1,1];y.assert(C.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=C.computePool2DInfo(o.shape,n,s,u,a),[l,m]=SF(o,i,c,p);return[l,m]}};function vF(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=te({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=qr(i,\"float32\",\"mean\",o),u=te({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}var kF={kernelName:Vn,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{keepDims:n,axis:s}=e,a=t,i=o.shape.length,p=y.parseAxisParam(s,o.shape),u=p,c=C.getAxesPermutation(u,i),l=c!=null,m=a.shouldExecuteOnCPU([o]),d=[],f=o;if(l){if(m){let S=a.texData.get(f.dataId).values,k=new Array(i);for(let R=0;Rc[0]+e[l]+c[1]);let n=e.length,s=Re(n),a=t.map(c=>c[0]).join(\",\"),i=t.map((c,l)=>c[0]+e[l]).join(\",\"),p=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n),u=o===\"reflect\"?0:1;if(n===1){this.userCode=`\n int start = ${a};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start) {\n outC = start * 2 - outC - ${u};\n } else if(outC >= end) {\n outC = (end - 1) * 2 - outC + ${u};\n }\n setOutput(getX(outC - start));\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${a});\n ${s} end = ${s}(${i});\n\n void main() {\n ${s} outC = getOutputCoords();\n for (int i = 0; i < ${n}; i++) {\n if (outC[i] < start[i]) {\n outC[i] = start[i] * 2 - outC[i] - ${u};\n } else if(outC[i] >= end[i]) {\n outC[i] = (end[i] - 1) * 2 - outC[i] + ${u};\n }\n }\n ${s} coords = outC - start;\n setOutput(getX(${p}));\n }\n `}};var lg=class{constructor(e,t,o){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,h)=>f[0]+e[h]+f[1]);let n=e.length,s=Re(n),a=t.map(f=>f[0]).join(\",\"),i=t.map((f,h)=>f[0]+e[h]).join(\",\"),p=Rt(\"rc\",n),u=Rt(\"source\",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?\"source\":`vec2(${u.slice(-2).join()})`,m=o===\"reflect\"?0:1,d=\"\";if(n===1){let f=`\n ${s} source = rc;\n if (source < start) {\n source = start * 2 - source - ${m};\n } else if (source >= end) {\n source = (end - 1) * 2 - source + ${m};\n }\n source -= start;\n `;d=`\n ${s} rc = outputLoc;\n ${f}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n `}else{let f=`\n ${s} source = rc;\n ${s} lt = ${s}(lessThan(source, start));\n ${s} gte = ${s}(greaterThanEqual(source, end));\n ${s} orig = 1 - (lt + gte);\n source = orig * source +\n lt * (start * 2 - source - ${m}) +\n gte * ((end - 1) * 2 - source + ${m});\n source -= start;\n `;d=`\n ${s} rc = outputLoc;\n ${f}\n result[0] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[1] = getChannel(getX(${u.join()}), ${l});\n }\n rc = outputLoc;\n ${p[n-2]} += 1;\n if(${p[n-2]} < ${this.outputShape[n-2]}) {\n ${f}\n result[2] = getChannel(getX(${u.join()}), ${l});\n ${p[n-1]} += 1;\n if(${c}) {\n ${f}\n result[3] = getChannel(getX(${u.join()}), ${l});\n }\n }\n `}this.userCode=`\n const ${s} start = ${s}(${a});\n const ${s} end = ${s}(${i});\n\n void main() {\n ${s} outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n ${d}\n setOutput(result);\n }\n `}};var KJ=({inputs:r,backend:e,attrs:t})=>{let{x:o}=r,{paddings:n,mode:s}=t,a=P().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new lg(o.shape,n,s):new cg(o.shape,n,s);return e.runWebGLProgram(a,[o],o.dtype)},_F={kernelName:Gn,backendName:\"webgl\",kernelFunc:KJ};var qJ=`if (b == 0.0) return NAN;\n return mod(a, b);`,jJ=`\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n `+Kr+`\n return result;\n`,XJ=nt({opSnippet:qJ,packedOpSnippet:jJ}),$F={kernelName:Ga,backendName:\"webgl\",kernelFunc:XJ};var mg=class{constructor(e,t,o){this.variableNames=[\"probs\"],this.customUniforms=[{name:\"seed\",type:\"float\"}],this.outputShape=[e,o],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < ${t-1}; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(${t-1}));\n }\n `}};var YJ=`\nif (a == b) {\n return 1.0;\n};\nreturn a / b;`,QJ=`\n // vec4 one = vec4(equal(a, b));\n // return one + (vec4(1.0) - one) * a / b;\n vec4 result = a / b;\n if(a.x == b.x) {\n result.x = 1.;\n }\n if(a.y == b.y) {\n result.y = 1.;\n }\n if(a.z == b.z) {\n result.z = 1.;\n }\n if(a.w == b.w) {\n result.w = 1.;\n }\n\n return result;\n`,cv=nt({opSnippet:YJ,packedOpSnippet:QJ,checkOutOfBounds:!0}),EF={kernelName:dn,backendName:\"webgl\",kernelFunc:cv};var RF=\"return a - b;\",lv=nt({opSnippet:RF,packedOpSnippet:RF,supportsComplex:!0,cpuKernelImpl:YR}),DF={kernelName:Is,backendName:\"webgl\",kernelFunc:lv};function mv(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=y.parseAxisParam([s],n.shape),i=pv({inputs:{x:n},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),p=C.expandShapeToKeepDim(i.shape,a),u=te({inputs:{x:i},backend:t,attrs:{shape:p}}),c=lv({inputs:{a:n,b:u},backend:t}),l=av({inputs:{x:c},backend:t}),m=bp({inputs:{x:l},backend:t,attrs:{axis:a,keepDims:!1}}),d=te({inputs:{x:m},backend:t,attrs:{shape:p}}),f=cv({inputs:{a:l,b:d},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),f}var AF={kernelName:bs,backendName:\"webgl\",kernelFunc:mv};function ZJ(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:mv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new mg(u,c,s),m=[[a]],d=t.runWebGLProgram(l,[p],\"int32\",m);return i||t.disposeIntermediateTensorInfo(p),d}var FF={kernelName:Hn,backendName:\"webgl\",kernelFunc:ZJ};var JJ=Ut+`\n return -x;\n`,eee=`\n vec4 result = -x;\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`;function tee(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.texData.get(o.dataId),[a,i]=RR(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n;return P().getBool(\"WEBGL_PACK_UNARY_OPERATIONS\")?n=new Ar(o.shape,eee):n=new tr(o.shape,JJ),t.runWebGLProgram(n,[o],o.dtype)}var PF={kernelName:oa,backendName:\"webgl\",kernelFunc:tee};var ree=Wt.nonMaxSuppressionV3Impl;function oee(r){C.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=ree(u,c,a,i,p);return t.makeTensorInfo([l.length],\"int32\",new Int32Array(l))}var OF={kernelName:jn,backendName:\"webgl\",kernelFunc:oee};var nee=Wt.nonMaxSuppressionV4Impl;function see(r){C.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,padToMaxOutputSize:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),{selectedIndices:m,validOutputs:d}=nee(c,l,a,i,p,u);return[t.makeTensorInfo([m.length],\"int32\",new Int32Array(m)),t.makeTensorInfo([],\"int32\",new Int32Array([d]))]}var MF={kernelName:Ha,backendName:\"webgl\",kernelFunc:see};var aee=Wt.nonMaxSuppressionV5Impl;function iee(r){C.warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=aee(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),t.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var LF={kernelName:Xn,backendName:\"webgl\",kernelFunc:iee};var dg=class{constructor(e,t,o,n){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float(${n}), float(${o}),\n float(index == coords.y)));\n }\n `}};var uee=r=>{let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new dg(u,a,i,p),l=te({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=t.runWebGLProgram(c,[l],s);t.disposeIntermediateTensorInfo(l);let d=[...n.shape,a],f=te({inputs:{x:m},backend:t,attrs:{shape:d}});return t.disposeIntermediateTensorInfo(m),f},BF={kernelName:Yn,backendName:\"webgl\",kernelFunc:uee};function rm(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"complex64\"){let n=gi({inputs:{input:o},backend:t}),s=rm({inputs:{x:n},backend:t}),a=wp({inputs:{input:o},backend:t}),i=rm({inputs:{x:a},backend:t}),p=Fr({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return xi({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype===\"string\"?\"\":0},backend:t})}var zF={kernelName:fa,backendName:\"webgl\",kernelFunc:rm};function VF(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(o.dtype===\"complex64\"){let n=gi({inputs:{input:o},backend:t}),s=VF({inputs:{x:n},backend:t}),a=wp({inputs:{input:o},backend:t}),i=rm({inputs:{x:a},backend:t}),p=Fr({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return xi({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var WF={kernelName:na,backendName:\"webgl\",kernelFunc:VF};function pee(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Qh({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=Qh({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=sv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var UF={kernelName:sa,backendName:\"webgl\",kernelFunc:pee};var fg=class{constructor(e,t,o){this.variableNames=[\"x\"],this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let n=e.length,s=Re(n),a=t.map(u=>u[0]).join(\",\"),i=t.map((u,c)=>u[0]+e[c]).join(\",\"),p=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n);if(n===1){this.userCode=`\n int start = ${a};\n int end = ${i};\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(value);\n } else {\n setOutput(getX(outC - start));\n }\n }\n `;return}this.userCode=`\n ${s} start = ${s}(${a});\n ${s} end = ${s}(${i});\n\n void main() {\n ${s} outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(value);\n } else {\n ${s} coords = outC - start;\n setOutput(getX(${p}));\n }\n }\n `}};var hg=class{constructor(e,t,o){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:\"value\",type:\"float\"}],this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let n=e.length,s=Re(n),a=t.map(h=>h[0]).join(\",\"),i=t.map((h,g)=>h[0]+e[g]).join(\",\"),p=Rt(\"rc\",n),u=Rt(\"source\",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?\"source\":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${p[n-1]} += 1;\n if(${c}) {\n `,n===1?\"\":`}\n rc = outputLoc;\n ${p[n-2]} += 1;\n if(${p[n-2]} < ${this.outputShape[n-2]}) {`,n===1?\"\":` ${p[n-1]} += 1;\n if(${c}) {`],d=n===1?\"rc < start || rc >= end\":\"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))\",f=\"\";for(let h=0,g=n===1?2:4;h{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return xi({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=P().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new hg(n.shape,s,a):new fg(n.shape,s,a),p=[[a]];return t.runWebGLProgram(i,[n],n.dtype,p)},GF={kernelName:Qn,backendName:\"webgl\",kernelFunc:dv};var cee=`\n if(a < 0.0 && floor(b) < b){\n return NAN;\n }\n if (b == 0.0) {\n return 1.0;\n }\n return (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`,lee=`\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n `+Kr+`\n return result;\n`,mee=nt({opSnippet:cee,packedOpSnippet:lee}),HF={kernelName:Zn,backendName:\"webgl\",kernelFunc:mee};function dee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=[],u=y.parseAxisParam(s,n.shape),c=u,l=C.getAxesPermutation(c,i),m=n;l!=null&&(m=bt({inputs:{x:n},backend:t,attrs:{perm:l}}),c=C.getInnerMostAxes(c.length,i),p.push(m)),C.assertAxesAreInnerMostDims(\"prod\",c,i);let d;if(t.shouldExecuteOnCPU([m])){let f=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=AR(m.shape,m.dtype,f,c);d=t.makeTensorInfo(g,x,h)}else{let[f,h]=C.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=te({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=Za(n.dtype),w=qr(x,b,\"prod\",t);d=te({inputs:{x:w},backend:t,attrs:{shape:f}}),p.push(x),p.push(w)}if(a){p.push(d);let f=C.expandShapeToKeepDim(d.shape,u);d=te({inputs:{x:d},backend:t,attrs:{shape:f}})}return p.forEach(f=>t.disposeIntermediateTensorInfo(f)),d}var KF={kernelName:es,backendName:\"webgl\",kernelFunc:dee};function fee(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.readSync(x.dataId)),u=n.map(x=>x.shape),c=t.readSync(s.dataId),l=t.readSync(a.dataId),[m,d,f]=FR(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],\"int32\",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var qF={kernelName:Kp,backendName:\"webgl\",kernelFunc:fee};function hee(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=PR(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],\"int32\",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var jF={kernelName:qp,backendName:\"webgl\",kernelFunc:hee};function gee(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),l=t.readSync(a.dataId),m=i.map(g=>t.readSync(g.dataId)),d=i.map(g=>g.shape),[f,h]=OR(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var XF={kernelName:jp,backendName:\"webgl\",kernelFunc:gee};var fv=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=MR(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},YF={kernelName:aa,backendName:\"webgl\",kernelFunc:fv};var xee=\"return 1.0 / x;\",yee=ge({opSnippet:xee}),QF={kernelName:ts,backendName:\"webgl\",kernelFunc:yee};var bee=Ut+`\n return (x < 0.0) ? 0.0 : x;\n`,Cee=`\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,wee=ge({opSnippet:bee,packedOpSnippet:Cee}),ZF={kernelName:rs,backendName:\"webgl\",kernelFunc:wee};var See=Ut+`\n return (x < 0.0) ? 0.0 : min(6.0, x);\n`,Iee=`\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,vee=ge({opSnippet:See,packedOpSnippet:Iee}),JF={kernelName:ss,backendName:\"webgl\",kernelFunc:vee};var gg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m=\"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)\":m=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/l[0]},\n ${c[1]/l[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${p}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n `}};var xg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m=\"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)\":m=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/l[0]},\n ${c[1]/l[1]},\n ${c[1]/l[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${p}.0,\n ${p}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${m};\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${u-1};\n bool hasNextRow = coords.z < ${o-1};\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n `}};function kee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=P().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new xg(n.shape,p,u,s,a):new gg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],\"float32\")}var e3={kernelName:ns,backendName:\"webgl\",kernelFunc:kee};var yg=class{constructor(e,t,o){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${f});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${a}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ${n-1}.0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function Nee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new yg(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var t3={kernelName:qa,backendName:\"webgl\",kernelFunc:Nee};var bg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?\"0.5\":\"0.0\",d;s?d=\"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":d=\"vec2(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ${c[0]/l[0]},\n ${c[1]/l[1]});\n const vec2 inputShapeRC = vec2(${i}.0, ${p}.0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ${d};\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n `}};var Cg=class{constructor(e,t,o,n,s){this.variableNames=[\"A\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?\"0.5\":\"0.0\",d;s?d=\"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))\":d=\"vec3(yRC) * effectiveInputOverOutputRatioRC\",this.userCode=`\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ${c[0]/l[0]},\n ${c[1]/l[1]},\n ${c[1]/l[1]});\n const vec3 inputShapeRC = vec3(${i}.0, ${p}.0,\n ${p}.0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ${d};\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ${u-1};\n bool hasNextRow = coords.z < ${o-1};\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n `}};function Tee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=P().getBool(\"WEBGL_PACK_IMAGE_OPERATIONS\")?new Cg(n.shape,p,u,s,a):new bg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],n.dtype)}var r3={kernelName:os,backendName:\"webgl\",kernelFunc:Tee};var wg=class{constructor(e,t,o){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(${c});\n const float widthScale = float(${l});\n\n const float invHeightScale = float(${m});\n const float invWidthScale = float(${d});\n\n const int winHeight = int(${f});\n const int winWidth = int(${h});\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ${a}) {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ${i}) {\n continue;\n }\n\n float sourceFracRow =\n float(${p[0]}) *\n (float(dyR) / float(${u[0]}));\n\n float sourceFracCol =\n float(${p[1]}) *\n (float(dyC) / float(${u[1]}));\n\n int sourceNearestRow = int(min(\n float(int(${n}) - 1),\n ${o} ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(${s}) - 1),\n ${o} ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n `}};function _ee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new wg(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var o3={kernelName:Ka,backendName:\"webgl\",kernelFunc:_ee};var Sg=class{constructor(e,t){this.variableNames=[\"x\"];let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);if(this.outputShape=e,o===1){this.userCode=`\n void main() {\n int coord = getOutputCoords();\n setOutput(getX(${e[0]} - coord - 1));\n }\n `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,p)=>n(p)).join(\",\"),a=Re(o);this.userCode=`\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${s}));\n }\n `}};var Ig=class{constructor(e,t){this.variableNames=[\"x\"],this.packedInputs=!0,this.packedOutput=!0;let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);this.outputShape=e;let n=Rt(\"rc\",o),s=`${n[o-1]} + 1 < ${this.outputShape[o-1]}`,a=`${n[o-2]} + 1 < ${this.outputShape[o-2]}`,i=Re(o);o===1?this.userCode=`\n void main(){\n int rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = getChannel(getX(${e[0]} - rc - 1),\n ${e[0]} - rc - 1);\n if(${s}){\n result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),\n ${e[0]} - (rc + 1) - 1);\n }\n setOutput(result);\n }\n `:this.userCode=`\n void main() {\n ${i} rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ${p(n.slice())};\n if(${s}){\n result.g = ${u(n.slice())};\n }\n if(${a}) {\n result.b = ${c(n.slice())};\n if(${s}) {\n result.a = ${l(n.slice())};\n }\n }\n setOutput(result);\n }\n `;function p(f){return m(f)}function u(f){return f[o-1]=\"(\"+f[o-1]+\" + 1)\",m(f)}function c(f){return f[o-2]=\"(\"+f[o-2]+\" + 1)\",m(f)}function l(f){return f[o-1]=\"(\"+f[o-1]+\" + 1)\",f[o-2]=\"(\"+f[o-2]+\" + 1)\",m(f)}function m(f){let h=e.map((b,w)=>d(w,f)),g=h.join(\",\"),x=h.slice(-2).join(\",\");return`getChannel(getX(${g}), vec2(${x}))`}function d(f,h){return t.indexOf(f)!==-1&&e[f]!==1?`${e[f]} - ${h[f]} - 1`:`${h[f]}`}}};function $ee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return Dt({inputs:{x:n},backend:t});let p=P().getBool(\"WEBGL_PACK_ARRAY_OPERATIONS\")?new Ig(n.shape,i):new Sg(n.shape,i);return t.runWebGLProgram(p,[n],n.dtype)}var n3={kernelName:as,backendName:\"webgl\",kernelFunc:$ee};var vg=class{constructor(e,t){this.variableNames=[\"Image\"],this.outputShape=[],this.customUniforms=[{name:\"params\",type:\"vec4\"}];let o=e[1],n=e[2];this.outputShape=e;let s=\"\";typeof t==\"number\"?s=`float outputValue = ${t.toFixed(2)};`:s=`\n vec3 fill = vec3(${t.join(\",\")});\n float outputValue = fill[coords[3]];`,this.userCode=`\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - params[0]) * params[3] -\n (float(y) - params[1]) * params[2];\n float coordYFloat = (float(x) - params[0]) * params[2] +\n (float(y) - params[1]) * params[3];\n int coordX = int(round(coordXFloat + params[0]));\n int coordY = int(round(coordYFloat + params[1]));\n ${s}\n if(coordX >= 0 && coordX < ${n} && coordY >= 0 && coordY < ${o}) {\n outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n }\n setOutput(outputValue);\n }\n `}};var s3={kernelName:_s,backendName:\"webgl\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new vg(o.shape,s),[u,c]=C.getImageCenter(a,o.shape[1],o.shape[2]),l=[[u,c,Math.sin(n),Math.cos(n)]];return i.runWebGLProgram(p,[o],o.dtype,l)}};var Eee=`\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n`,Ree=ge({opSnippet:Eee}),a3={kernelName:is,backendName:\"webgl\",kernelFunc:Ree};var Dee=\"return inversesqrt(x);\",Aee=ge({opSnippet:Dee,cpuKernelImpl:LR}),i3={kernelName:us,backendName:\"webgl\",kernelFunc:Aee};var yu=class{constructor(e,t,o,n,s,a,i=!0,p=!1){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=a;let u=Re(s.length),c=Re(a.length),l=\"\";o===1?l=\"i\":o===2&&(l=\"i, j\");let m=`getIndices(${l})`,d=\"\";n===1?d=\"i\":n===2&&(d=\"i, coords[1]\");let f=`getUpdates(${d})`,h=\"\";p&&(h=\"coords[0], coords[1]\");let g=`getDefaultValue(${h})`,x=t>1?\"strides[j]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${c} coords = getOutputCoords();\n float sum = 0.0;\n bool found = false;\n for (int i = 0; i < ${e}; i++) {\n int flattenedIndex = 0;\n for (int j = 0; j < ${t}; j++) {\n int index = round(${m});\n flattenedIndex += index * ${x};\n }\n if (flattenedIndex == coords[0]) {\n sum += ${f};\n found = true;\n }\n }\n setOutput(mix(${g}, sum, float(found)));\n }\n `}};var kg=class{constructor(e,t,o,n,s,a,i=!0,p=!1){this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=a;let u=Re(s.length),c=Re(a.length),l=\"\";o===1?l=\"i\":o===2&&(l=\"i, j\");let m=`getIndices(${l})`,d=\"\";n===1?d=\"i\":n===2&&(d=\"i, coords[1]\");let f=`getUpdates(${d})`,h=\"\";p&&(h=\"coords[0], coords[1]\");let g=`getDefaultValue(${h})`,x=t>1?\"strides[j]\":\"strides\",b=t>1?\"strides[j + 1]\":\"strides\";this.userCode=`\n ${u} strides = ${u}(${s});\n\n void main() {\n ${c} coords = getOutputCoords();\n vec4 sum = vec4(0.);\n vec4 found = vec4(0.);\n for (int i = 0; i < ${e}; i+=2) {\n ivec2 flattenedIndex = ivec2(0);\n for (int j = 0; j < ${t}; j+=2) {\n ivec4 index = round(${m});\n flattenedIndex += index.xz * ${x};\n if (j + 1 < ${t}) {\n flattenedIndex += index.yw * ${b};\n }\n }\n if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] ||\n flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) {\n vec4 updVals = ${f};\n if (flattenedIndex[0] == coords[0]) {\n sum.xy += updVals.xy;\n found.xy = vec2(1.);\n } else if (flattenedIndex[0] == coords[0] + 1) {\n sum.zw += updVals.xy;\n found.zw = vec2(1.);\n }\n if (flattenedIndex[1] == coords[0]) {\n sum.xy += updVals.zw;\n found.xy = vec2(1.);\n } else if (flattenedIndex[1] == coords[0] + 1) {\n sum.zw += updVals.zw;\n found.zw = vec2(1.);\n }\n }\n }\n setOutput(mix(${g}, sum, found));\n }\n `}};function Fee(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=te({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=te({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=t.makeTensorInfo([],\"float32\",new Float32Array([0])),g;P().getBool(\"WEBGL_PACK\")?g=new kg(p,i,d.shape.length,f.shape.length,c,m):g=new yu(p,i,d.shape.length,f.shape.length,c,m);let x=t.runWebGLProgram(g,[f,d,h],f.dtype),b=te({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var u3={kernelName:ps,backendName:\"webgl\",kernelFunc:Fee};var Ng=class{constructor(e,t,o,n){this.variableNames=[\"sortedSequence\",\"values\"],this.customUniforms=[{name:\"numInputs\",type:\"int\"}],this.outputShape=[e,o];let s=\"while (left < right) {\",a=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=P().getNumber(\"WEBGL_VERSION\")===2?s:a,p=n===\"left\"?\"<\":\"<=\";this.userCode=`\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n ${i}\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${p} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n `}};function Pee(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new Ng(n.shape[0],n.shape[1],s.shape[1],a),p=[[n.shape[1]]];return t.runWebGLProgram(i,[n,s],\"int32\",p)}var p3={kernelName:ls,backendName:\"webgl\",kernelFunc:Pee};var Tg=class{constructor(e,t,o){this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t;let n,s;if(o>4)throw Error(`Where for rank ${o} is not yet supported`);if(o===1)s=\"resRC\",n=\"resRC\";else{let i=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],p=[],u=[];for(let c=0;c= 1.0) {\n setOutput(getA(${s}));\n } else {\n setOutput(getB(${s}));\n }\n }\n `}};function Oee(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=new Tg(o.shape.length,n.shape,n.shape.length);return t.runWebGLProgram(a,[o,n,s],dt(n.dtype,s.dtype))}var c3={kernelName:ua,backendName:\"webgl\",kernelFunc:Oee};var Mee=`\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = ${C.SELU_SCALEALPHA};\n float scale = ${C.SELU_SCALE};\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`,Lee=ge({opSnippet:Mee}),l3={kernelName:ms,backendName:\"webgl\",kernelFunc:Lee};var Bee=Do+`\n return 1.0 / (1.0 + exp(-1.0 * x));\n`,zee=`\n vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n`,Vee=ge({opSnippet:Bee,packedOpSnippet:zee,cpuKernelImpl:zR}),m3={kernelName:hs,backendName:\"webgl\",kernelFunc:Vee};var Wee=`\n if (isnan(x)) { return 0.0; }\n return sign(x);\n`,Uee=ge({opSnippet:Wee}),d3={kernelName:fs,backendName:\"webgl\",kernelFunc:Uee};var Gee=Do+`\n return sin(x);\n`,Hee=`\n vec4 result = sin(x);\n bvec4 isNaN = isnan(x);\n ${Kr}\n return result;\n`,Kee=ge({opSnippet:Gee,packedOpSnippet:Hee}),f3={kernelName:ds,backendName:\"webgl\",kernelFunc:Kee};var qee=`\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n`,jee=ge({opSnippet:qee}),h3={kernelName:ja,backendName:\"webgl\",kernelFunc:jee};var Xee=`\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = exp(x);\n\n if (too_large){\n result = x;\n }\n else if (too_small){\n result = exp_x;\n }\n else{\n result = log(exp_x + 1.0);\n }\n return result;\n`,Yee=ge({opSnippet:Xee}),g3={kernelName:gs,backendName:\"webgl\",kernelFunc:Yee};var Qee=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeIntermediateTensorInfo(x)),g},x3={kernelName:ca,backendName:\"webgl\",kernelFunc:Qee};function Zee(r){let{inputs:e,backend:t}=r,{indices:o,values:n,denseShape:s,defaultValue:a}=e;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:\n ${s.shape}`);if(o.shape.length!==2)throw new Error(`Indices must be a matrix, saw:\n ${o.shape}`);if(n.shape.length!==1)throw new Error(`Values must be a vector, saw:\n ${n.shape}`);if(a.shape.length!==0)throw new Error(`Default value must be a scalar, saw:\n ${a.shape}`);let i=t.readSync(o.dataId),p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=t.readSync(a.dataId)[0],[l,m,d,f,h]=WR(i,o.shape,o.dtype,p,n.dtype,u,c);return[t.makeTensorInfo(m,o.dtype,l),t.makeTensorInfo([m[0]],n.dtype,d),t.makeTensorInfo([f.length],\"bool\",new Uint8Array(f.map(g=>Number(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var y3={kernelName:Vi,backendName:\"webgl\",kernelFunc:Zee};function Jee(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.readSync(n.dataId)),i=t.readSync(o.dataId),p=Array.from(t.readSync(s.dataId)),[u,c,l]=UR(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var b3={kernelName:Xa,backendName:\"webgl\",kernelFunc:Jee};function ete(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=uh(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var C3={kernelName:Wi,backendName:\"webgl\",kernelFunc:ete};function tte(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error(\"Data should be at least 1 dimensional but received scalar\");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape\n ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape\n ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=uh(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var w3={kernelName:Ui,backendName:\"webgl\",kernelFunc:tte};function rte(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1;if(s.dtype===\"string\"){let x=t.bufferSync(n),b=t.bufferSync(s),w=y.decodeString(t.readSync(a.dataId)[0]),S=BR(x,b,i,m,c,u,p,l,w,d);return t.makeTensorInfo(i,S.dtype,S.values)}let f=new yu(u,p,n.shape.length,s.shape.length,l,[m,1],d),h=t.runWebGLProgram(f,[s,n,a],s.dtype),g=te({inputs:{x:h},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(h),g}var S3={kernelName:Cs,backendName:\"webgl\",kernelFunc:rte};function ote(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=Ls({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var I3={kernelName:la,backendName:\"webgl\",kernelFunc:ote};var v3=\"return sqrt(x);\",nte=ge({opSnippet:v3,packedOpSnippet:v3,cpuKernelImpl:GR}),k3={kernelName:xs,backendName:\"webgl\",kernelFunc:nte};var ste=\"return x * x;\",ate=ge({opSnippet:ste}),N3={kernelName:Gi,backendName:\"webgl\",kernelFunc:ate};var T3=\"return (a - b) * (a - b);\",ite=nt({opSnippet:T3,packedOpSnippet:T3}),_3={kernelName:ws,backendName:\"webgl\",kernelFunc:ite};function ute(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;if(n.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");let s=t.readSync(n.dataId),a=C.fromUint8ToStringArray(s),i=HR(a,\"string\",o);return t.makeTensorInfo(n.shape,\"string\",i)}var $3={kernelName:_u,backendName:\"webgl\",kernelFunc:ute};function pte({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=Ut+`\n return x > 0.0 ? 1.0 : float(${e.alpha});\n `,s=new tr(o.shape,n);return t.runWebGLProgram(s,[o],o.dtype)}var E3={kernelName:yo,backendName:\"webgl\",kernelFunc:pte};var _g=class{constructor(e,t,o){this.variableNames=[\"x\"],this.outputShape=o;let n=o.length,s=Re(o.length),a=Re(o.length),i=\"\";if(n===1)i=\"coords * strides + begin\";else{let p=0;i=o.map((u,c)=>(p++,o.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${p-1}] * strides[${c}] + begin[${c}]`)).join(\",\")}this.userCode=`\n ${s} begin = ${s}(${e});\n ${s} strides = ${s}(${t});\n\n void main() {\n ${a} coords = getOutputCoords();\n setOutput(getX(${i}));\n }\n `}};function cte(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=te({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let E=ct.computeOutShape(b,w,S),R=Ls({inputs:{x:n},backend:t,attrs:{begin:b,size:E}});k=te({inputs:{x:R},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(R)}else if(t.shouldExecuteOnCPU([n])){let R=t.readSync(n.dataId),D=me(n.shape,n.dtype,R),F=KR(d,D,S,b);k=t.makeTensorInfo(f,n.dtype,F.values)}else{let R=new _g(b,S,d);k=t.runWebGLProgram(R,[n],n.dtype)}let _=te({inputs:{x:k},backend:t,attrs:{shape:f}});return t.disposeIntermediateTensorInfo(k),_}var R3={kernelName:Ss,backendName:\"webgl\",kernelFunc:cte};function lte(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=qR(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var D3={kernelName:ma,backendName:\"webgl\",kernelFunc:lte};function mte(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.readSync(s.dataId),p=t.readSync(a.dataId)[0],[u,c,l]=jR(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],\"int32\",u),t.makeTensorInfo([m],\"string\",c),t.makeTensorInfo([2],\"int32\",new Int32Array(l))]}var A3={kernelName:Hi,backendName:\"webgl\",kernelFunc:mte};function dte(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!==\"string\")throw new Error(\"Input must be of datatype string\");if(n<=0)throw new Error(\"Number of buckets must be at least 1\");let a=t.readSync(s.dataId),i=XR(a,n);return t.makeTensorInfo(s.shape,\"int32\",i)}var F3={kernelName:Ki,backendName:\"webgl\",kernelFunc:dte};var fte=\"return tan(x);\",hte=ge({opSnippet:fte}),P3={kernelName:vs,backendName:\"webgl\",kernelFunc:hte};var gte=`\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`,xte=ge({opSnippet:gte}),O3={kernelName:ks,backendName:\"webgl\",kernelFunc:xte};function yte(r){let{inputs:e,backend:t,attrs:o}=r,{tensor:n,indices:s,updates:a}=e,{}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(a,s,n.shape),m=[l/u,u];if(l===0)return t.makeTensorInfo(n.shape,s.dtype);let d=te({inputs:{x:s},backend:t,attrs:{shape:[p,i]}}),f=te({inputs:{x:a},backend:t,attrs:{shape:[p,u]}}),h=te({inputs:{x:n},backend:t,attrs:{shape:m}}),g=new yu(p,i,d.shape.length,f.shape.length,c,m,!1,!0),x=t.runWebGLProgram(g,[f,d,h],h.dtype),b=te({inputs:{x},backend:t,attrs:{shape:n.shape}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(x),b}var M3={kernelName:cs,backendName:\"webgl\",kernelFunc:yte};var $g=class{constructor(e,t){this.variableNames=[\"A\"];let o=new Array(e.length);for(let a=0;a5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`imod(resRC, ${r[0]})`;let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],o=[];for(let n=0;n5){let p=t.readSync(n.dataId),u=n.dtype===\"string\"?p.map(m=>y.decodeString(m)):p,c=me(n.shape,n.dtype,u),l=QR(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new $g(n.shape,s);return t.runWebGLProgram(a,[n],n.dtype)}var L3={kernelName:so,backendName:\"webgl\",kernelFunc:hv};var Eg=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"negativeInf\",type:\"float\"},{name:\"dir\",type:\"int\"},{name:\"inc\",type:\"int\"}],this.outputShape=e,this.userCode=`\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced above,\n // Figure5(a) shows that element[1] is in the\n // second half of the group when group size is 2, but it is in the\n // first half of the group when group size is 4.\n\n bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n // Denotes which direction indices are in (ascending or descending).\n bool reverse = imod(elemIdx, 2 * dir) >= dir;\n bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) { // Elements in opposite order of direction\n int iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutput(float(i0));\n } else {\n setOutput(float(i1));\n }\n }\n `}},Rg=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.customUniforms=[{name:\"n\",type:\"int\"},{name:\"firstPass\",type:\"int\"},{name:\"k\",type:\"int\"}],this.outputShape=e,this.userCode=`\n void main() {\n // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int elemIdx = coords[1];\n\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),\n // we only need to output the indices at positions |, the indices at\n // positions _ can be thrown away, see Figure5(b) After Phase 2\n // (Merge phase) in the Bitonic Top K paper referenced above.\n // For example, the paper shows we only need to output the orange bars.\n // The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back\n // to the previous sequence to find the corresponding value,\n // we need to double the index. When we double the index,\n // we basically interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n // of each 2k positions by - elemIdx % k. E.g. for output at\n // index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n float x0 = getX(batch, i0);\n float x1 = i1 < n ? getX(batch, i1) : x0;\n\n setOutput(x0 >= x1 ? float(i0) : float(i1));\n }\n `}};function Ip(r,e){e!==null&&r.disposeIntermediateTensorInfo(e)}function B3(r){let e=1;for(;ep){let F=t.readSync(n.dataId),[O,M]=ZR(F,u,n.dtype,s,a);return[t.makeTensorInfo(O.shape,O.dtype,O.values),t.makeTensorInfo(M.shape,M.dtype,M.values)]}if(s===0)return u[u.length-1]=0,[t.makeTensorInfo(u,n.dtype,[]),t.makeTensorInfo(u,\"int32\",[])];if(c===1)return[n,xi({attrs:{shape:u,dtype:\"int32\",value:0},backend:t})];let l=t.texData.get(n.dataId),m=l!==null&&l.isPacked,d=m?t.unpackTensor(n):n,h=y.sizeFromShape(u)/c,g=te({inputs:{x:d},attrs:{shape:[h,c]},backend:t});m&&Ip(t,d);let x=B3(s),b=B3(c),w=null,S=()=>w===null?[g,g]:[g,w],k=(F,O,M)=>{let L=S(),B=new Eg(M),U=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[F],[O]],j=w;w=t.runWebGLProgram(B,L,\"int32\",U),Ip(t,j)};for(let F=1;F=1;M/=2)k(O,M,[h,b])}for(let F=b;F>x;F/=2){let O=S(),M=new Rg([h,F/2]),B=[[c],[w===null?1:0],[x]],z=w;w=t.runWebGLProgram(M,O,\"int32\",B),Ip(t,z);let U=x/2,j=U*2;for(let H=U;H>=1;H/=2)k(j,H,w.shape)}let _=w;w=Ls({inputs:{x:w},backend:t,attrs:{begin:0,size:[h,s]}}),Ip(t,_);let E=uv({inputs:{x:g,indices:w},backend:t,attrs:{axis:1,batchDims:1}});Ip(t,g);let R=u.slice(0,-1);R.push(s),_=w,w=te({inputs:{x:w},attrs:{shape:R},backend:t}),Ip(t,_);let D=E;return E=te({inputs:{x:E},attrs:{shape:R},backend:t}),Ip(t,D),[E,w]}var z3={kernelName:Ns,backendName:\"webgl\",kernelFunc:Cte};var Dg=class{constructor(e,t,o,n,s,a){this.variableNames=[\"Image\",\"Transforms\"],this.outputShape=a;let i=o===\"nearest\"?1:2,p;switch(n){case\"constant\":p=1;break;case\"reflect\":p=2;break;case\"wrap\":p=3;break;case\"nearest\":p=4;break;default:p=1;break}this.userCode=`\n float mapCoord(float outCoord, float len) {\n float inCoord = outCoord;\n if(${p} == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n inCoord;\n }\n inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz2 = 2.0 * len;\n inCoord -= sz2 * float(int(float(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${p} == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n float sz = len - 1.0;\n inCoord -= len * float(int(float(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (${p} == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ${e} && 0 <= coordX && coordX < ${t}) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(${s});\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(${s});\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(${t}));\n float mapY = mapCoord(inY, float(${e}));\n\n if (${i} == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutput(outputValue);\n }\n `}};function wte(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Dg(l,m,a,i,p,g);return t.runWebGLProgram(x,[n,s],\"float32\")}var V3={kernelName:Ts,backendName:\"webgl\",kernelFunc:wte};function Ste(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e;Ps(s,\"unique\"),console.warn(\"WARNING: \",\"UI might be locked temporarily as data is being downloaded\");let a=o.readSync(s.dataId),{outputValues:i,outputShape:p,indices:u}=JR(a,n,s.shape,s.dtype);return[o.makeTensorInfo(p,s.dtype,i),o.makeTensorInfo([u.length],\"int32\",u)]}var W3={kernelName:qi,backendName:\"webgl\",kernelFunc:Ste};function Ite(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeIntermediateTensorInfo(h)),f}var U3={kernelName:da,backendName:\"webgl\",kernelFunc:Ite};var Ag=class{constructor(e,t){this.variableNames=[\"x\",\"segmentIds\"];let o=e.windowSize,n=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/o);this.outputShape=[n,i];let p=\"0.0\",u=\"sumValue\",c=Math.floor(o/4)*4,l=o%4,m=`\n sumValue += dot(values, segFilter);\n `,d=\"\";s%o>0&&(d=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return initializationValue;\n }\n `);let f=\"\";s%o>0&&(f=`\n if (inIdx < 0 || inIdx >= ${s}) {\n return -1.0;\n }\n `),this.userCode=`\n const float initializationValue = ${p};\n\n float getValue(int batch, int inIdx) {\n ${d}\n return getX(batch, inIdx);\n }\n\n float getSegmentIdAtIndex(int inIdx) {\n ${f}\n return getSegmentIds(inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = int(floor(float(outIdx) / float(\n ${a})) * float(${o}));\n int currentSeg = int(mod(float(outIdx), float(${a})));\n\n float sumValue = 0.0;\n\n for (int i = 0; i < ${c}; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n );\n\n ${m}\n }\n\n int inIdx = inOffset + ${c};\n if (${l===1}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${l===2}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n 0,\n 0\n );\n\n ${m}\n } else if (${l===3}) {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n vec4 segFilter = vec4(\n int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n 0\n );\n\n ${m}\n }\n setOutput(${u});\n }\n `}};function vte(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,segmentIds:s}=e,{numSegments:a}=o,i=n.shape.length,p=[],u=0,c=C.getAxesPermutation([u],i),l=n;c!=null&&(l=bt({inputs:{x:n},backend:t,attrs:{perm:c}}),p.push(l),u=C.getInnerMostAxes(1,i)[0]);let m=C.segment_util.computeOutShape(l.shape,u,a),d=y.sizeFromShape([l.shape[u]]),f=te({inputs:{x:l},backend:t,attrs:{shape:[-1,d]}});p.push(f);let h=Za(n.dtype),g=(S,k,_,E,R)=>{let D=S.shape[0],F=S.shape[1],O=C.segment_util.segOpComputeOptimalWindowSize(F,R),M={windowSize:O,inSize:F,batchSize:D,numSegments:R},L=new Ag(M,k),B=t.compileAndRun(L,[S,_],E);if(p.push(B),B.shape[1]===R)return B;let z=fv({backend:t,attrs:{start:0,stop:R,step:1,dtype:\"float32\"}}),U=hv({inputs:{x:z},backend:t,attrs:{reps:[F/O]}});return p.push(z),p.push(U),g(B,k,U,E,R)},x=g(f,\"unsortedSegmentSum\",s,h,a),b=te({inputs:{x},backend:t,attrs:{shape:m}}),w=b;if(c!=null){p.push(b);let S=C.getUndoAxesPermutation(c);w=bt({inputs:{x:w},backend:t,attrs:{perm:S}})}return p.forEach(S=>t.disposeIntermediateTensorInfo(S)),w}var G3={kernelName:ji,backendName:\"webgl\",kernelFunc:vte};var kte=[TD,$D,ED,RD,AD,FD,PD,OD,BD,zD,VD,WD,UD,GD,HD,KD,qD,jD,XD,YD,QD,JD,eA,tA,sA,iA,uA,xD,cA,mA,dA,fA,hA,gA,xA,yA,bA,CA,wA,vA,kA,NA,TA,_A,$A,EA,RA,DA,AA,FA,PA,OA,MA,LA,BA,VA,WA,UA,GA,KA,qA,jA,XA,YA,QA,ZA,JA,eF,gD,tF,lA,rF,oF,nF,yD,sF,aF,iF,uF,pF,cF,lF,mF,dF,fF,gF,xF,yF,bF,CF,wF,IF,kF,NF,TF,_F,$F,FF,wD,PF,OF,MF,LF,rA,BF,WF,UF,GF,HF,bD,KF,qF,jF,XF,YF,oA,EF,QF,ZF,JF,ID,e3,t3,r3,o3,n3,s3,a3,i3,u3,p3,c3,l3,m3,d3,f3,h3,ZD,AF,g3,x3,y3,b3,C3,w3,S3,I3,k3,N3,_3,$3,E3,R3,D3,A3,F3,DF,kD,P3,O3,M3,L3,z3,V3,ND,W3,U3,G3,zF];for(let r of kte)Ya(r);var we;(function(r){r[r.float32=0]=\"float32\",r[r.int32=1]=\"int32\",r[r.bool=2]=\"bool\",r[r.string=3]=\"string\",r[r.complex64=4]=\"complex64\"})(we||(we={}));var bu;(function(r){r[r.linear=0]=\"linear\",r[r.relu=1]=\"relu\",r[r.relu6=2]=\"relu6\",r[r.prelu=3]=\"prelu\",r[r.leakyrelu=4]=\"leakyrelu\",r[r.sigmoid=5]=\"sigmoid\",r[r.elu=6]=\"elu\"})(bu||(bu={}));var H3;function Nte(r){H3=r.wasm.cwrap(bo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Tte(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e;if(n.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"_FusedMatMul for non non-float32 tensors not yet supported.\");let{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o,m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=0;if(a!=null){let R=t.dataIdMap.get(a.dataId);if(R.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${R.shape.length}.`);f=R.id}let h=i==null?0:t.dataIdMap.get(i.dataId).id,g=bu[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=p?n.shape[2]:n.shape[1],b=u?s.shape[1]:s.shape[2],w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)),S=t.makeOutput([...w,x,b],n.dtype),k=t.dataIdMap.get(S.dataId).id,_=new Uint8Array(new Int32Array(n.shape).buffer),E=new Uint8Array(new Int32Array(s.shape).buffer);return H3(m,_,n.shape.length,d,E,s.shape.length,p,u,g,f,h,l||0,k),S}var K3={kernelName:bo,backendName:\"wasm\",setupFunc:Nte,kernelFunc:Tte};function Ce(r,e){let t;function o(s){t=s.wasm.cwrap(r,null,[\"number\",\"number\",\"number\"])}function n(s){let{backend:a,inputs:{x:i}}=s,p=a.dataIdMap.get(i.dataId).id,u=a.makeOutput(i.shape,e||i.dtype),c=a.dataIdMap.get(u.dataId).id;return y.sizeFromShape(u.shape)===0||t(p,we[i.dtype],c),u}return{kernelName:r,backendName:\"wasm\",setupFunc:o,kernelFunc:n}}var q3=Ce(Gs);var j3=Ce(zo);var X3=Ce(Vo);function Je(r,e,t){let o;function n(a){o=a.wasm.cwrap(r,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function s(a){let{backend:i,inputs:p}=a,{a:u,b:c}=p,l=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,d=t!=null?t:u.dtype,f=C.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(f,d);if(y.sizeFromShape(f)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=i.dataIdMap.get(h.dataId).id;return(()=>o(l,g,u.shape.length,m,x,c.shape.length,we[u.dtype],b))(),h}return{kernelName:r,backendName:\"wasm\",setupFunc:n,kernelFunc:s}}var _te=!0,Y3=Je(no,_te);var Q3;function $te(r){Q3=r.wasm.cwrap(Wo,null,[\"array\",\"number\",\"number\",\"number\"])}function Ete(r){let{inputs:e,backend:t}=r,o=t.makeOutput(e[0].shape,e[0].dtype);if(y.sizeFromShape(o.shape)===0)return o;let n=e.map(i=>t.dataIdMap.get(i.dataId).id),s=new Uint8Array(new Int32Array(n).buffer),a=t.dataIdMap.get(o.dataId).id;return Q3(s,n.length,we[o.dtype],a),o}var Z3={kernelName:Wo,backendName:\"wasm\",setupFunc:$te,kernelFunc:Ete};function vp(r){let{inputs:{x:e},backend:t}=r;if(e.dtype===\"string\")return ir(t.readSync(e.dataId),e.shape,e.dtype);let o=t.makeOutput(e.shape,e.dtype),n=t.typedArrayFromHeap(e);return t.typedArrayFromHeap(o).set(n),o}var J3={kernelName:xo,backendName:\"wasm\",kernelFunc:vp};var eP;function Rte(r){eP=r.wasm.cwrap(ao,null,[\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function mo(r){let{inputs:e,backend:t,attrs:o}=r,[n,s]=Ate(e.x.shape,o.perm),a=!0;for(let f=0;f=n&&(s===-1||o[s]>o[a])&&(s=a);o[s]=n}return[t,o]}var tP={kernelName:ao,backendName:\"wasm\",kernelFunc:mo,setupFunc:Rte};function Tr(r,e,t){let o=r.shape,n=r.shape.length,s=y.parseAxisParam(e,o),a=s,i=C.getAxesPermutation(a,n),p=null,u=!1;if(i!=null){let c=new Array(n);for(let d=0;d`new shape: ${a}, old shape: ${o.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var bP={kernelName:ia,backendName:\"wasm\",kernelFunc:zt};var CP;function Gte(r){CP=r.wasm.cwrap(Qo,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\"])}function Hte(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;if(n.dtype!==\"float32\"||s.dtype!==\"float32\")throw new Error(\"BatchMatMul for non non-float32 tensors not yet supported.\");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let S=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=zt({inputs:{x:n},backend:t,attrs:{shape:S}}),E=zt({inputs:{x:s},backend:t,attrs:{shape:k}}),R=t.dataIdMap.get(_.dataId).id,D=t.dataIdMap.get(E.dataId).id,F=a?_.shape[2]:_.shape[1],O=i?E.shape[1]:E.shape[2],M=Math.max(g,x),L=t.makeOutput([M,F,O],_.dtype),B=t.dataIdMap.get(L.dataId).id,z=new Uint8Array(new Int32Array(_.shape).buffer),U=new Uint8Array(new Int32Array(E.shape).buffer);return CP(R,z,_.shape.length,D,U,E.shape.length,a,i,B),t.disposeData(_.dataId),t.disposeData(E.dataId),L.shape=w,L}var wP={kernelName:Qo,backendName:\"wasm\",setupFunc:Gte,kernelFunc:Hte};function Ao(r){let{inputs:{x:e},attrs:{begin:t,size:o},backend:n}=r,[s,a]=ct.parseSliceParams(e,t,o),i=ct.isSliceContinous(e.shape,s,a),p=n.readSync(e.dataId),u=n.makeOutput(a,e.dtype),c=y.computeStrides(e.shape),l=n.dataIdMap.get(u.dataId);if(i){let f=ct.computeFlatOffset(s,c);return e.dtype===\"string\"?l.stringBytes=p.slice(f,f+y.sizeFromShape(a)):n.typedArrayFromHeap(u).set(p.subarray(f,f+y.sizeFromShape(a))),u}if(e.dtype===\"string\"){let f=ip(p,s,a,e.shape,e.dtype);return l.stringBytes=f,u}let m=n.typedArrayFromHeap(u),d=e.shape.length;if(d===2)Kte(p,c[0],m,s,a);else if(d===3)qte(p,c[0],c[1],m,s,a);else if(d===4)jte(p,c[0],c[1],c[2],m,s,a);else{let f=ip(p,s,a,e.shape,e.dtype);m.set(f)}return u}function Kte(r,e,t,o,n){let s=0,a=o[0],i=o[1],p=a+n[0];for(let u=a;ux*b),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=zt({inputs:{x:n},backend:t,attrs:{shape:p}}),f=mo({inputs:{x:d},backend:t,attrs:{perm:u}}),h=zt({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Ao({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(d.dataId),g}var IP={kernelName:js,backendName:\"wasm\",kernelFunc:Xte};var vP;function Yte(r){vP=r.wasm.cwrap(Zo,null,[\"number\",\"number\",\"boolean\",\"number\",\"number\",\"number\"])}function Qte(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,weights:s}=t,{size:a}=o,i=s.shape.reduce((l,m)=>l*m,1)!==0,p=n.shape.length===1?[a]:[n.shape[0],a],u=e.makeOutput(p,s.dtype);function c(l){return e.dataIdMap.get(l.dataId).id}return vP(c(n),a,i,c(s),we[s.dtype],c(u)),u}var kP={kernelName:Zo,backendName:\"wasm\",setupFunc:Yte,kernelFunc:Qte};function Zte(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.typedArrayFromHeap(o),a=t.typedArrayFromHeap(n),i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeOutput([i.length],\"int32\",void 0,new Int32Array(i))}var NP={kernelName:Xs,backendName:\"wasm\",kernelFunc:Zte};function Pr(r){let{inputs:{x:e},attrs:{dtype:t},backend:o}=r,n=o.makeOutput(e.shape,t),s=o.typedArrayFromHeap(e);return o.typedArrayFromHeap(n).set(s),n}var TP={kernelName:ho,backendName:\"wasm\",kernelFunc:Pr};var _P=Ce(Jo);var $P;function Jte(r){$P=r.wasm.cwrap(go,null,[\"number\",\"number\",\"number\",\"number\"])}function ere(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i=t.dataIdMap.get(n.dataId).id,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(p.dataId).id;return $P(i,s,a,u),p}var EP={kernelName:go,backendName:\"wasm\",setupFunc:Jte,kernelFunc:ere};function gv(r){let{inputs:e,backend:t}=r,o=y.parseAxisParam(r.attrs.axis,e[0].shape)[0],n=e.map(d=>d.shape);C.assertParamsConsistent(n,o);let s=C.computeOutShape(e.map(d=>d.shape),o),a=e.filter(d=>y.sizeFromShape(d.shape)>0);if(a.length===1)return vp({inputs:{x:a[0]},backend:t});let i=t.makeOutput(s,e[0].dtype);if(y.sizeFromShape(s)===0)return i;if(a[0].dtype===\"string\"){let d=a.map(w=>{let k=[-1,y.sizeFromShape(w.shape.slice(o))];return zt({inputs:{x:w},backend:t,attrs:{shape:k}})}),f=d.map(w=>({vals:t.readSync(w.dataId),shape:w.shape}));s=C.computeOutShape(d.map(w=>w.shape),1);let h=d[0].shape[0]===1,g=np(f,s,e[0].dtype,h),x=C.computeOutShape(a.map(w=>w.shape),o);i.shape=x;let b=t.dataIdMap.get(i.dataId);return b.stringBytes=C.fromStringArrayToUint8(g),d.forEach(w=>t.disposeData(w.dataId)),i}let p=y.sizeFromShape(a[0].shape.slice(0,o)),u=0,c=a.map(d=>{let f=y.sizeFromShape(d.shape.slice(o));return u+=f,f}),l=a.map(d=>t.typedArrayFromHeap(d)),m=t.typedArrayFromHeap(i);for(let d=0;d`cumprod does not support ${n.dtype} tensors in the WASM backend`);let u=C.getAxesPermutation([s],p),c=n;u!==null&&(c=mo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=C.getInnerMostAxes(1,p)[0];C.assertAxesAreInnerMostDims(\"cumprod\",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;KP(f,a?1:0,i?1:0,d,h,we[n.dtype]);let g=m;if(u!==null){let x=C.getUndoAxesPermutation(u);g=mo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var qP={kernelName:an,backendName:\"wasm\",setupFunc:dre,kernelFunc:fre};var jP;function hre(r){jP=r.wasm.cwrap(un,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function gre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o,p=n.shape.length;y.assert(n.dtype===\"float32\"||n.dtype===\"int32\",()=>`cumsum does not support ${n.dtype} tensors in the WASM backend`);let u=C.getAxesPermutation([s],p),c=n;u!==null&&(c=mo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=C.getInnerMostAxes(1,p)[0];C.assertAxesAreInnerMostDims(\"cumsum\",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;jP(f,a?1:0,i?1:0,d,h,we[n.dtype]);let g=m;if(u!==null){let x=C.getUndoAxesPermutation(u);g=mo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var XP={kernelName:un,backendName:\"wasm\",setupFunc:hre,kernelFunc:gre};var YP;function xre(r){YP=r.wasm.cwrap(\"DenseBincount\",null,[\"number\",\"array\",\"number\",\"number\",\"boolean\",\"number\",\"number\",\"boolean\",\"number\"])}function yre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,weights:s}=t,{size:a,binaryOutput:i}=o,p=s.shape.reduce((m,d)=>m*d,1)!==0,u=n.shape.length===1?[a]:[n.shape[0],a],c=e.makeOutput(u,s.dtype);function l(m){return e.dataIdMap.get(m.dataId).id}return YP(l(n),new Uint8Array(new Int32Array(n.shape).buffer),n.shape.length,a,p,l(s),we[s.dtype],i,l(c)),c}var QP={kernelName:Qs,backendName:\"wasm\",setupFunc:xre,kernelFunc:yre};var ZP;function bre(r){ZP=r.wasm.cwrap(cn,null,[\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Cre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=e.makeOutput(f,\"float32\"),x=e.dataIdMap.get(n.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),w=new Uint8Array(new Int32Array(f).buffer),S=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),k=e.dataIdMap.get(h.dataId).id;return ZP(x,s,a===\"NHWC\"?1:0,b,n.shape.length-1,w,S,f.length,k),h}var JP={kernelName:cn,backendName:\"wasm\",setupFunc:bre,kernelFunc:Cre};var eO;function wre(r){eO=r.wasm.cwrap(ln,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Sre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,a=o.dataIdMap.get(n.dataId).id,i=o.dataIdMap.get(s.dataId).id,{strides:p,dilations:u,pad:c,dimRoundingMode:l}=t,m=u==null?[1,1]:u,d=C.computeConv2DInfo(n.shape,s.shape,p,m,c,l,!0),f=d.filterHeight,h=d.filterWidth,g=d.padInfo.top,x=d.padInfo.right,b=d.padInfo.bottom,w=d.padInfo.left,S=d.dilationHeight,k=d.dilationWidth,_=d.strideHeight,E=d.strideWidth,R=d.inChannels,D=d.outChannels,F=d.padInfo.type===\"SAME\"?1:0;if(d.dataFormat!==\"channelsLast\")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${d.dataFormat}'. Please use 'channelsLast'.`);let O=o.makeOutput(d.outShape,\"float32\"),M=o.dataIdMap.get(O.dataId).id;return eO(a,n.shape[0],n.shape[1],n.shape[2],i,f,h,g,x,b,w,F,S,k,_,E,R,D,M),O}var tO={kernelName:ln,backendName:\"wasm\",setupFunc:wre,kernelFunc:Sre};var rO;function Ire(r){rO=r.wasm.cwrap(\"Diag\",null,[\"number\",\"number\",\"number\",\"number\"])}function vre(r){let{inputs:e,backend:t}=r,{x:o}=e,n=y.sizeFromShape(o.shape),s=t.makeOutput([...o.shape,...o.shape],o.dtype);return rO(t.dataIdMap.get(o.dataId).id,we[o.dtype],n,t.dataIdMap.get(s.dataId).id),s}var oO={kernelName:Zs,backendName:\"wasm\",setupFunc:Ire,kernelFunc:vre};var nO;function kre(r){nO=r.wasm.cwrap(mn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Nre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o;if(n.dtype!==s.dtype)throw new Error(`Dilation2D error: x must have the same dtype as filter. Got ${n.dtype} and ${s.dtype}`);let u=C.computeDilation2DInfo(n.shape,s.shape,a,i,\"NHWC\",p),c=t.makeOutput(u.outShape,n.dtype);return nO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(c.dataId).id,we[n.dtype],u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.filterHeight,u.filterWidth,u.padInfo.top,u.padInfo.left),c}var sO={kernelName:mn,backendName:\"wasm\",setupFunc:kre,kernelFunc:Nre};var aO;function Tre(r){aO=r.wasm.cwrap(Ai,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function _re(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o;if(n.dtype!==s.dtype||n.dtype!==a.dtype)throw new Error(`Dilation2DBackpropFilter error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`);let c=C.computeDilation2DInfo(n.shape,s.shape,i,p,\"NHWC\",u),l=t.makeOutput(s.shape,s.dtype);return aO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,we[n.dtype],c.batchSize,c.inChannels,c.inHeight,c.inWidth,c.outHeight,c.outWidth,c.strideHeight,c.strideWidth,c.dilationHeight,c.dilationWidth,c.filterHeight,c.filterWidth,c.padInfo.top,c.padInfo.left),l}var iO={kernelName:Ai,backendName:\"wasm\",setupFunc:Tre,kernelFunc:_re};var uO;function $re(r){uO=r.wasm.cwrap(Di,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ere(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o;if(n.dtype!==s.dtype||n.dtype!==a.dtype)throw new Error(`Dilation2DBackpropInput error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`);let c=C.computeDilation2DInfo(n.shape,s.shape,i,p,\"NHWC\",u),l=t.makeOutput(n.shape,n.dtype);return uO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,we[n.dtype],c.batchSize,c.inChannels,c.inHeight,c.inWidth,c.outHeight,c.outWidth,c.strideHeight,c.strideWidth,c.dilationHeight,c.dilationWidth,c.filterHeight,c.filterWidth,c.padInfo.top,c.padInfo.left),l}var pO={kernelName:Di,backendName:\"wasm\",setupFunc:$re,kernelFunc:Ere};var cO=Ce(fn);var lO;function Rre(r){lO=r.wasm.cwrap(Va,null,[\"number\",\"number\",\"number\"])}function Dre(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=t.makeOutput(n.shape,\"float32\"),a=i=>t.dataIdMap.get(i.dataId).id;return lO(a(n),a(o),a(s)),s}var mO={kernelName:Va,backendName:\"wasm\",setupFunc:Rre,kernelFunc:Dre};var Are=!1,dO=Je(hn,Are,\"bool\");var fO=Ce(gn,\"float32\");function Pg(r){let{inputs:e,attrs:t,backend:o}=r,{input:n}=e,{dim:s}=t,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),zt({inputs:{x:n},backend:o,attrs:{shape:i}})}var hO={kernelName:Js,backendName:\"wasm\",kernelFunc:Pg};var gO=Ce(xn,\"float32\");function yv(r){let{attrs:{shape:e,value:t,dtype:o},backend:n}=r,s=n.makeOutput(e,o);return n.typedArrayFromHeap(s).fill(t),s}var xO={kernelName:ea,backendName:\"wasm\",kernelFunc:yv};var yO;function Fre(r){yO=r.wasm.cwrap(yn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Pre(r){let{inputs:e,backend:t}=r,{image:o}=e,n=t.makeOutput(o.shape,o.dtype),s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,[i,p,u,c]=o.shape;return yO(s,i,p,u,c,a),n}var bO={kernelName:yn,backendName:\"wasm\",kernelFunc:Pre,setupFunc:Fre};var CO=Ce(bn);var Ore=!1,wO=Je(Cn,Ore);var SO;function Mre(r){SO=r.wasm.cwrap(wn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Lre(r){let{backend:e,inputs:t,attrs:o}=r,{varianceEpsilon:n}=o,{x:s,mean:a,variance:i,offset:p,scale:u}=t,c=e.dataIdMap.get(s.dataId).id,l=e.dataIdMap.get(a.dataId).id,m=e.dataIdMap.get(i.dataId).id,d=p!=null?e.dataIdMap.get(p.dataId).id:0,f=u!=null?e.dataIdMap.get(u.dataId).id:0,h=e.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=e.dataIdMap.get(h.dataId).id;return SO(c,l,m,d,f,n,g),h}var IO={kernelName:wn,backendName:\"wasm\",setupFunc:Mre,kernelFunc:Lre};var vO;function Bre(r){vO=r.wasm.cwrap(Co,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function zre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=C.computeConv2DInfo(n.shape,s.shape,p,c,u,m),g=bu[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,w=h.outChannels,S=0;if(a!=null){let ee=o.dataIdMap.get(a.dataId);if(ee.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`);if(ee.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`);S=ee.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,R=h.padInfo.right,D=h.padInfo.bottom,F=h.padInfo.left,O=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,B=h.strideWidth,z=h.inChannels,U=h.padInfo.type===\"SAME\"?1:0,j=h.batchSize,H=h.inHeight,X=h.inWidth;if(l!==\"NHWC\")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let J=o.makeOutput(h.outShape,\"float32\"),re=o.dataIdMap.get(J.dataId).id,ne=i==null?0:o.dataIdMap.get(i.dataId).id;return vO(x,j,H,X,b,k,_,S,E,R,D,F,U,O,M,L,B,z,w,g,ne,f||0,re),J}var kO={kernelName:Co,backendName:\"wasm\",setupFunc:Bre,kernelFunc:zre};var NO;function Vre(r){NO=r.wasm.cwrap(wo,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Wre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=C.computeConv2DInfo(n.shape,s.shape,p,c,u,m,!0),g=bu[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,w=h.outChannels,S=0;if(a!=null){let ee=o.dataIdMap.get(a.dataId);if(ee.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`);if(ee.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`);S=ee.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,R=h.padInfo.right,D=h.padInfo.bottom,F=h.padInfo.left,O=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,B=h.strideWidth,z=h.inChannels,U=h.padInfo.type===\"SAME\"?1:0,j=h.batchSize,H=h.inHeight,X=h.inWidth;if(l!==\"NHWC\")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let J=o.makeOutput(h.outShape,\"float32\"),re=o.dataIdMap.get(J.dataId).id,ne=i==null?0:o.dataIdMap.get(i.dataId).id;return NO(x,j,H,X,b,k,_,S,E,R,D,F,U,O,M,L,B,z,w,g,ne,f||0,re),J}var TO={kernelName:wo,backendName:\"wasm\",setupFunc:Vre,kernelFunc:Wre};var _O;function Ure(r){_O=r.wasm.cwrap(Sn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Gre(r){let{backend:e,inputs:t}=r,{params:o,indices:n}=t,[s,a,i,p]=of.prepareAndValidate(o,n),u=e.makeOutput(s,o.dtype);if(a===0)return u;let c=n.shape,l=c[c.length-1],d=e.dataIdMap.get(o.dataId).id,h=e.dataIdMap.get(n.dataId).id,g=new Uint8Array(new Int32Array(p).buffer),x=e.dataIdMap.get(u.dataId).id;return _O(d,we[o.dtype],h,a,l,i,g,x),u}var $O={kernelName:Sn,backendName:\"wasm\",setupFunc:Ure,kernelFunc:Gre};var EO;function Hre(r){EO=r.wasm.cwrap(\"Gather\",null,[\"number\",\"number\",\"array\",\"number\",\"number\",\"number\",\"array\",\"number\"])}function Kre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,indices:s}=t,{axis:a,batchDims:i}=o,p=y.parseAxisParam(a,n.shape)[0],u=e.readSync(s.dataId),c=n.shape[p];for(let D=0;D=0,()=>`GatherV2: the index value ${F} is not in [0, ${c-1}]`)}let l=C.segment_util.collectGatherOpShapeInfo(n,s,p,i),m=zt({inputs:{x:n},attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]},backend:e}),d=y.sizeFromShape(s.shape),f=zt({inputs:{x:s},attrs:{shape:[l.batchSize,d/l.batchSize]},backend:e}),h=[l.batchSize,l.outerSize,d/l.batchSize,l.sliceSize],g=e.makeOutput(h,n.dtype);if(y.sizeFromShape(n.shape)===0)return g;let x=m.shape.length-1,w=e.dataIdMap.get(m.dataId).id,k=e.dataIdMap.get(f.dataId).id,_=e.dataIdMap.get(g.dataId).id,E=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),R=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return EO(w,we[n.dtype],E,x,k,l.batchSize,R,_),e.disposeData(m.dataId),e.disposeData(f.dataId),g.shape=l.outputShape,g}var RO={kernelName:ta,backendName:\"wasm\",setupFunc:Hre,kernelFunc:Kre};var qre=!1,DO=Je(In,qre,\"bool\");var jre=!1,AO=Je(vn,jre,\"bool\");var FO=Ce(kn,\"bool\");var PO=Ce(Nn,\"bool\");var OO=Ce(Tn,\"bool\");var MO;function Xre(r){MO=r.wasm.cwrap(_n,null,[\"number\",\"number\",\"number\",\"number\"])}function Yre(r){let{inputs:{x:e},attrs:{alpha:t},backend:o}=r,n=o.dataIdMap.get(e.dataId).id,s=o.makeOutput(e.shape,\"float32\");if(y.sizeFromShape(e.shape)!==0){let a=o.dataIdMap.get(s.dataId).id;MO(n,we[e.dtype],t,a)}return s}var LO={kernelName:_n,backendName:\"wasm\",setupFunc:Xre,kernelFunc:Yre};var Qre=!1,BO=Je($n,Qre,\"bool\");var Zre=!1,zO=Je(En,Zre,\"bool\");var VO;function Jre(r){VO=r.wasm.cwrap(Rn,null,[\"number\",\"number\",\"number\",\"number\"])}function eoe(r){let{attrs:e,backend:t}=r,{start:o,stop:n,num:s}=e,a=Math.floor(s),i=t.makeOutput([a],\"float32\");return VO(t.dataIdMap.get(i.dataId).id,o,n,a),i}var WO={kernelName:Rn,backendName:\"wasm\",setupFunc:Jre,kernelFunc:eoe};var UO=Ce(Dn);var GO=Ce(An);var toe=!1,HO=Je(Fn,toe,\"bool\");var KO=Ce(Pn);var roe=!1,qO=Je(On,roe,\"bool\");var ooe=!1,jO=Je(m0,ooe,\"bool\");var XO;function noe(r){XO=r.wasm.cwrap(Mn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function soe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;if(n.dtype!==\"float32\")throw new Error(\"LRN error: x must have dtype float32\");let u=t.makeOutput(n.shape,n.dtype);return XO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(u.dataId).id,n.shape[3],s,a,i,p),u}var YO={kernelName:Mn,backendName:\"wasm\",setupFunc:noe,kernelFunc:soe};var QO;function aoe(r){QO=r.wasm.cwrap(Ua,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o;if(n.dtype!==\"float32\"||s.dtype!==\"float32\"||a.dtype!==\"float32\")throw new Error(\"LRNGrad error: x, y, and dy must have dtype float32\");let l=t.makeOutput(n.shape,n.dtype);return QO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,a.shape[3],i,p,u,c),l}var ZO={kernelName:Ua,backendName:\"wasm\",setupFunc:aoe,kernelFunc:ioe};var JO;function uoe(r){JO=r.wasm.cwrap(Ln,null,[\"number\",\"number\",\"number\",\"number\"])}function poe(r){let{backend:e,inputs:t,attrs:o}=r,{reductionIndices:n,keepDims:s}=o,{x:a}=t,p=e.dataIdMap.get(a.dataId).id,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e);if(d){let w=e.dataIdMap.get(c.dataId).id;u=c,p=w}let f=u.shape.length;C.assertAxesAreInnerMostDims(\"max\",l,f);let[h,g]=C.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,a.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;JO(p,we[a.dtype],x,w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var eM={kernelName:Ln,backendName:\"wasm\",setupFunc:uoe,kernelFunc:poe};var coe=!1,tM=Je(Bn,coe);var rM;function loe(r){rM=r.wasm.cwrap(zn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function moe(r){let{inputs:e,attrs:t,backend:o}=r,n=e.x,s=o.dataIdMap.get(n.dataId).id;y.assert(n.dtype===\"float32\",()=>`Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`);let{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=t,c=C.computePool2DInfo(n.shape,a,i,1,p,u),l=c.filterHeight,m=c.filterWidth,d=c.padInfo.top,f=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,S=c.strideWidth,k=c.inChannels,_=c.outChannels;if(c.dataFormat!==\"channelsLast\")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let E=o.makeOutput(c.outShape,\"float32\"),R=o.dataIdMap.get(E.dataId).id;return rM(s,n.shape[0],n.shape[1],n.shape[2],l,m,d,f,h,g,x,b,w,S,k,_,R),E}var oM={kernelName:zn,backendName:\"wasm\",setupFunc:loe,kernelFunc:moe};var nM;function doe(r){nM=r.wasm.cwrap(\"MaxPool3D\",null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function foe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.makeOutput(c.outShape,n.dtype);return nM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(l.dataId).id,c.batchSize,c.inChannels,c.inDepth,c.inHeight,c.inWidth,c.outDepth,c.outHeight,c.outWidth,c.strideDepth,c.strideHeight,c.strideWidth,c.dilationDepth,c.dilationHeight,c.dilationWidth,c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth,c.padInfo.front,c.padInfo.top,c.padInfo.left),l}var sM={kernelName:ra,backendName:\"wasm\",setupFunc:doe,kernelFunc:foe};var aM;function hoe(r){aM=r.wasm.cwrap(\"MaxPool3DGrad\",null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function goe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o,c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=t.makeOutput(s.shape,s.dtype);return aM(t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(l.dataId).id,c.batchSize,c.inChannels,c.inDepth,c.inHeight,c.inWidth,c.outDepth,c.outHeight,c.outWidth,c.strideDepth,c.strideHeight,c.strideWidth,c.dilationDepth,c.dilationHeight,c.dilationWidth,c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth,c.padInfo.front,c.padInfo.top,c.padInfo.left),l}var iM={kernelName:Li,backendName:\"wasm\",setupFunc:hoe,kernelFunc:goe};var uM;function xoe(r){uM=r.wasm.cwrap(Vn,null,[\"number, number, number\"])}function yoe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let S=e.dataIdMap.get(c.dataId).id;S!==i&&(u=c,p=S,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims(\"mean\",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=u;u.dtype!==\"float32\"&&(b=Pr({backend:e,inputs:{x:u},attrs:{dtype:\"float32\"}}),p=e.dataIdMap.get(b.dataId).id);let w=e.makeOutput(h,\"float32\");if(y.sizeFromShape(u.shape)!==0){let S=e.dataIdMap.get(w.dataId).id;uM(p,x,S)}if(d&&e.disposeData(c.dataId),s){let S=C.expandShapeToKeepDim(w.shape,m);w.shape=S}return u.dtype!==\"float32\"&&e.disposeData(b.dataId),w}var pM={kernelName:Vn,backendName:\"wasm\",setupFunc:xoe,kernelFunc:yoe};var cM;function boe(r){cM=r.wasm.cwrap(Wn,null,[\"number\",\"number\",\"number\",\"number\"])}function Coe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e);if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w)}let f=u.shape.length;C.assertAxesAreInnerMostDims(\"min\",l,f);let[h,g]=C.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;cM(p,we[a.dtype],x,w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var lM={kernelName:Wn,backendName:\"wasm\",setupFunc:boe,kernelFunc:Coe};var woe=!1,mM=Je(Un,woe);var bv;(function(r){r[r.reflect=0]=\"reflect\",r[r.symmetric=1]=\"symmetric\"})(bv||(bv={}));var dM;function Soe(r){dM=r.wasm.cwrap(Gn,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function Ioe(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,mode:n}}=r,s=o.map((f,h)=>f[0]+e.shape[h]+f[1]),a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),p=t.dataIdMap.get(i.dataId).id,u=new Uint8Array(new Int32Array(e.shape).buffer),c=o.map(f=>f[0]),l=o.map(f=>f[1]),m=new Uint8Array(new Int32Array(c).buffer),d=new Uint8Array(new Int32Array(l).buffer);return dM(a,u,e.shape.length,we[e.dtype],m,d,bv[n],p),i}var fM={kernelName:Gn,backendName:\"wasm\",kernelFunc:Ioe,setupFunc:Soe};var hM;function voe(r){hM=r.wasm.cwrap(bs,null,[\"number\",\"number\",\"number\",\"number\"])}function Cv(r){let{backend:e,inputs:{logits:t},attrs:{dim:o}}=r,n=e.dataIdMap.get(t.dataId).id,s=e.makeOutput(t.shape,t.dtype),a=e.dataIdMap.get(s.dataId).id,i=t.shape[o],p=y.sizeFromShape(t.shape)/i;return y.sizeFromShape(s.shape)===0||hM(n,a,i,p),s}var gM={kernelName:bs,backendName:\"wasm\",setupFunc:voe,kernelFunc:Cv};var xM;function koe(r){xM=r.wasm.cwrap(Hn,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Noe(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;if(n.dtype!==\"float32\")throw new Error(`Tensor logits must have dtype float32, got ${n.dtype}`);let p=i?n:Cv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),[u,c]=p.shape,l=t.makeOutput([u,s],\"int32\");return xM(t.dataIdMap.get(p.dataId).id,u,c,s,a,t.dataIdMap.get(l.dataId).id),i||t.disposeData(p.dataId),l}var yM={kernelName:Hn,backendName:\"wasm\",setupFunc:koe,kernelFunc:Noe};var Toe=!0,bM=Je(Kn,Toe);var CM=Ce(oa);function Hc(r,e){let t=new Int32Array(r.wasm.HEAPU8.buffer,e,4),o=t[0],n=t[1],s=t[2],a=t[3];return r.wasm._free(e),{pSelectedIndices:o,selectedSize:n,pSelectedScores:s,pValidOutputs:a}}var wM;function _oe(r){wM=r.wasm.cwrap(jn,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\"])}function $oe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a}=o,{boxes:i,scores:p}=t,u=e.dataIdMap.get(i.dataId).id,c=e.dataIdMap.get(p.dataId).id,l=wM(u,c,s,n,a),{pSelectedIndices:m,selectedSize:d,pSelectedScores:f,pValidOutputs:h}=Hc(e,l);return e.wasm._free(f),e.wasm._free(h),e.makeOutput([d],\"int32\",m)}var SM={kernelName:jn,backendName:\"wasm\",setupFunc:_oe,kernelFunc:$oe};var IM;function Eoe(r){IM=r.wasm.cwrap(Ha,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\"])}function Roe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,padToMaxOutputSize:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=IM(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=Hc(e,m);e.wasm._free(h);let x=e.makeOutput([f],\"int32\",d),b=e.makeOutput([],\"int32\",g);return[x,b]}var vM={kernelName:Ha,backendName:\"wasm\",setupFunc:Eoe,kernelFunc:Roe};var kM;function Doe(r){kM=r.wasm.cwrap(Xn,\"number\",[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Aoe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,softNmsSigma:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=kM(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=Hc(e,m);e.wasm._free(g);let x=e.makeOutput([f],\"int32\",d),b=e.makeOutput([f],\"float32\",h);return[x,b]}var NM={kernelName:Xn,backendName:\"wasm\",setupFunc:Doe,kernelFunc:Aoe};var Foe=!1,TM=Je(qn,Foe,\"bool\");var _M;function Poe(r){_M=r.wasm.cwrap(Yn,null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function Ooe(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=t.makeOutput([...n.shape,a],s),c=t.dataIdMap.get(u.dataId).id,m=t.dataIdMap.get(n.dataId).id;return _M(m,a,i,p,c),u}var $M={kernelName:Yn,backendName:\"wasm\",setupFunc:Poe,kernelFunc:Ooe};function Moe(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(1),o}var EM={kernelName:na,backendName:\"wasm\",kernelFunc:Moe};function Loe(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Pg({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=Pg({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=gv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var RM={kernelName:sa,backendName:\"wasm\",kernelFunc:Loe};var DM;function Boe(r){DM=r.wasm.cwrap(Qn,null,[\"number\",\"array\",\"number\",\"number\",\"array\",\"array\",\"number\",\"number\"])}function zoe(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,constantValue:n}}=r,s=o.map((h,g)=>h[0]+e.shape[g]+h[1]);if(y.sizeFromShape(e.shape)===0)return yv({backend:t,attrs:{shape:s,value:n,dtype:e.dtype}});let a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(e.shape).buffer),l=o.map(h=>h[0]),m=o.map(h=>h[1]),d=new Uint8Array(new Int32Array(l).buffer),f=new Uint8Array(new Int32Array(m).buffer);return DM(a,c,e.shape.length,we[e.dtype],d,f,n,u),i}var Og={kernelName:Qn,backendName:\"wasm\",kernelFunc:zoe,setupFunc:Boe};var Voe=!1,AM=Je(Zn,Voe);var FM;function Woe(r){FM=r.wasm.cwrap(Jn,null,[\"number\",\"number\",\"number\"])}function Uoe(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,i=s,p=o,u=p;p.dtype!==\"float32\"&&(u=Pr({backend:t,inputs:{x:o},attrs:{dtype:\"float32\"}}),i=t.dataIdMap.get(u.dataId).id);let c=t.makeOutput(o.shape,\"float32\"),l=t.dataIdMap.get(c.dataId).id;return FM(i,a,l),p.dtype!==\"float32\"&&t.disposeData(u.dataId),c}var PM={kernelName:Jn,backendName:\"wasm\",setupFunc:Woe,kernelFunc:Uoe};var OM;function Goe(r){OM=r.wasm.cwrap(es,null,[\"number\",\"number\",\"number\",\"number\"])}function Hoe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims(\"prod\",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;OM(p,x,we[b.dtype],w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var MM={kernelName:es,backendName:\"wasm\",setupFunc:Goe,kernelFunc:Hoe};var Koe=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=ap(o,n,s,a),p=e.makeOutput([i.length],a);return e.typedArrayFromHeap(p).set(i),p},LM={kernelName:aa,backendName:\"wasm\",kernelFunc:Koe};var qoe=!0,BM=Je(dn,qoe);var zM=Ce(ts);var VM=Ce(rs);var WM=Ce(ss);var UM;function joe(r){UM=r.wasm.cwrap(ns,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Xoe(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.dataIdMap.get(n.dataId),g;h.dtype!==\"float32\"&&(g=Pr({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),h=e.dataIdMap.get(g.dataId));let x=h.id,b=e.makeOutput(f,\"float32\");if(y.sizeFromShape(n.shape)===0)return b;let w=e.dataIdMap.get(b.dataId).id;return UM(x,c,l,m,d,p,u,s?1:0,a?1:0,w),g!=null&&e.disposeData(g.dataId),b}var GM={kernelName:ns,backendName:\"wasm\",setupFunc:joe,kernelFunc:Xoe};var HM;function Yoe(r){HM=r.wasm.cwrap(qa,null,[\"number\",\"number\",\"number\",\"array\",\"array\",\"boolean\"])}function Qoe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=t.makeOutput(n.shape,\"float32\"),p=t.dataIdMap.get(n.dataId),u;return p.dtype!==\"float32\"&&(u=Pr({backend:t,inputs:{x:n},attrs:{dtype:\"float32\"}}),p=t.dataIdMap.get(u.dataId)),HM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(i.dataId).id,new Uint8Array(new Int32Array(n.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),a),u!=null&&t.disposeData(u.dataId),i}var KM={kernelName:qa,backendName:\"wasm\",setupFunc:Yoe,kernelFunc:Qoe};var qM;function Zoe(r){qM=r.wasm.cwrap(os,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Joe(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.makeOutput(f,\"float32\");if(y.sizeFromShape(n.shape)===0)return h;let g=e.dataIdMap.get(n.dataId),x;g.dtype!==\"float32\"&&(x=Pr({backend:e,inputs:{x:n},attrs:{dtype:\"float32\"}}),g=e.dataIdMap.get(x.dataId));let b=g.id,w=e.dataIdMap.get(h.dataId).id;return qM(b,c,l,m,d,p,u,s?1:0,a?1:0,w),x!=null&&e.disposeData(x.dataId),h}var jM={kernelName:os,backendName:\"wasm\",setupFunc:Zoe,kernelFunc:Joe};var XM;function ene(r){XM=r.wasm.cwrap(Ka,null,[\"number\",\"number\",\"number\",\"array\",\"array\",\"boolean\"])}function tne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=t.makeOutput(n.shape,\"float32\"),p=t.dataIdMap.get(n.dataId),u;return p.dtype!==\"float32\"&&(u=Pr({backend:t,inputs:{x:n},attrs:{dtype:\"float32\"}}),p=t.dataIdMap.get(u.dataId)),XM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(i.dataId).id,new Uint8Array(new Int32Array(n.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),a),u!=null&&t.disposeData(u.dataId),i}var YM={kernelName:Ka,backendName:\"wasm\",setupFunc:ene,kernelFunc:tne};var QM;function rne(r){QM=r.wasm.cwrap(as,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function one(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=y.parseAxisParam(s,n.shape);if(n.shape.length===0)return vp({inputs:{x:n},backend:t});let i=t.makeOutput(n.shape,n.dtype),p=t.dataIdMap.get(n.dataId).id,u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(a).buffer),l=new Uint8Array(new Int32Array(n.shape).buffer);QM(p,c,a.length,l,n.shape.length,u);let m=zt({inputs:{x:i},attrs:{shape:n.shape},backend:t});return t.disposeData(i.dataId),m}var ZM={kernelName:as,backendName:\"wasm\",kernelFunc:one,setupFunc:rne};var JM;function nne(r){JM=r.wasm.cwrap(_s,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function sne(r){let{inputs:e,backend:t,attrs:o}=r,{image:n}=e,{radians:s,fillValue:a,center:i}=o,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(n.dataId).id,c=t.dataIdMap.get(p.dataId).id,[l,m,d,f]=n.shape,[h,g]=C.getImageCenter(i,m,d),x=a===0,b=255,w=typeof a==\"number\"?[a,a,a,x?0:b]:[...a,b],S=new Uint8Array(new Int32Array(w).buffer);return JM(u,l,m,d,f,s,h,g,S,w.length,c),p}var eL={kernelName:_s,backendName:\"wasm\",kernelFunc:sne,setupFunc:nne};var tL=Ce(is);var rL=Ce(us);var oL;function ane(r){oL=r.wasm.cwrap(ps,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function ine(r){let{backend:e,inputs:t,attrs:o}=r,{indices:n,updates:s}=t,{shape:a}=o,i=e.makeOutput(a,s.dtype);if(y.sizeFromShape(a)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=pu.calculateShapes(s,n,a),f=e.dataIdMap.get(n.dataId).id,g=e.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(l).buffer),b=e.dataIdMap.get(i.dataId).id;return oL(f,g,we[s.dtype],p,u,c,x,m,b),i}var nL={kernelName:ps,backendName:\"wasm\",setupFunc:ane,kernelFunc:ine};var sL;function une(r){sL=r.wasm.cwrap(ls,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"bool\",\"number\"])}function pne(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o;if(n.dtype!==s.dtype)throw new Error(`SearchSorted error: sorted_sequence must have the same dtype as values. Got ${n.dtype} and ${s.dtype}`);let i=t.makeOutput(s.shape,\"int32\");function p(u){return t.dataIdMap.get(u.dataId).id}return sL(p(n),p(s),n.shape[0],n.shape[1],s.shape[1],we[n.dtype],a===\"left\",p(i)),i}var aL={kernelName:ls,backendName:\"wasm\",setupFunc:une,kernelFunc:pne};var iL;function cne(r){iL=r.wasm.cwrap(\"SelectV2\",null,[\"number\",\"number\",\"number\",\"number\",\"number\"])}function lne(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=t.dataIdMap.get(o.dataId).id,i=t.dataIdMap.get(n.dataId).id,p=t.dataIdMap.get(s.dataId).id,u=t.makeOutput(n.shape,n.dtype),c=t.dataIdMap.get(u.dataId).id,l=o.shape.length,m=n.shape.length,d=l===0||l>1||m===1?1:y.sizeFromShape(n.shape.slice(1));return iL(a,i,p,d,c),u}var uL={kernelName:ua,backendName:\"wasm\",kernelFunc:lne,setupFunc:cne};var pL=Ce(ms);var cL;function mne(r){cL=r.wasm.cwrap(hs,null,[\"number\",\"number\"])}function dne(r){let{backend:e,inputs:{x:t}}=r,o=e.dataIdMap.get(t.dataId).id,n=e.makeOutput(t.shape,t.dtype),s=e.dataIdMap.get(n.dataId).id;return y.sizeFromShape(n.shape)===0||cL(o,s),n}var lL={kernelName:\"Sigmoid\",backendName:\"wasm\",setupFunc:mne,kernelFunc:dne};var mL=Ce(fs);var dL=Ce(ds);var fL=Ce(gs);function fne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o,i=y.sizeFromShape(s),p=[[0,0]];p.push(...a);for(let _=1+s.length;_0?p+1:0;if(c<0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let l=n.shape.slice();l[0]=c;let m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=t.dataIdMap.get(a.dataId).id,h=t.makeOutput(l,n.dtype),g=t.dataIdMap.get(h.dataId).id,x=t.makeOutput([4],\"int32\"),b=t.dataIdMap.get(x.dataId).id;CL(m,we[n.dtype],n.shape[0],d,f,g,b,e,0);let w=t.readSync(x.dataId),S;switch(w[0]){case 0:{S=C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{S=C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:S=C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:S=C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:S=\"\"}if(t.disposeData(x.dataId),S)throw t.disposeData(h.dataId),new Error(S);return h}function bne(r){return Lg(r,!0)}var wL={kernelName:Wi,backendName:\"wasm\",setupFunc:Mg,kernelFunc:bne};function Cne(r){return Lg(r,!1)}var SL={kernelName:Ui,backendName:\"wasm\",setupFunc:Mg,kernelFunc:Cne};var IL;function wne(r){IL=r.wasm.cwrap(Cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\"])}function Sne(r){let{backend:e,inputs:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=t,{outputShape:i}=o,p=e.makeOutput(i,a.dtype);if(y.sizeFromShape(i)===0)return p;let{sliceRank:u,numUpdates:c,sliceSize:l,strides:m,outputSize:d}=C.calculateShapes(s,n,i),f=e.dataIdMap.get(n.dataId).id,h=e.dataIdMap.get(s.dataId).id,g=e.dataIdMap.get(a.dataId).id,x=new Uint8Array(new Int32Array(m).buffer),b=e.dataIdMap.get(p.dataId).id;return IL(f,h,s.shape.length,g,we[a.dtype],u,c,l,x,d,b),p}var vL={kernelName:Cs,backendName:\"wasm\",setupFunc:wne,kernelFunc:Sne};function Ine(r){let{inputs:e,attrs:t,backend:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=t,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Ao({inputs:{x:n},attrs:{begin:u,size:m},backend:o});return u[i]+=l,d})}var kL={kernelName:la,backendName:\"wasm\",kernelFunc:Ine};var NL=Ce(xs);var TL=Ce(Gi);var vne=!0,_L=Je(ws,vne);var $L;function kne(r){$L=r.wasm.cwrap(yo,null,[\"number\",\"number\",\"number\",\"number\"])}function Nne(r){let{backend:e,inputs:t,attrs:o}=r,{alpha:n}=o,{x:s}=t,a=e.dataIdMap.get(s.dataId).id,i=e.makeOutput(s.shape,s.dtype),p=e.dataIdMap.get(i.dataId).id;return $L(a,n,we[s.dtype],p),i}var EL={kernelName:yo,backendName:\"wasm\",setupFunc:kne,kernelFunc:Nne};var RL;function Tne(r){RL=r.wasm.cwrap(Ss,null,[\"number\",\"array\",\"number\",\"array\",\"array\",\"array\",\"array\",\"array\",\"number\",\"number\"])}function _ne(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=zt({inputs:{x:n},backend:e,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=Ao({inputs:{x:n},backend:e,attrs:{begin:b,size:_}});k=zt({inputs:{x:E},backend:e,attrs:{shape:f}}),e.disposeData(E.dataId)}else{let _=e.makeOutput(d,\"float32\"),E=e.dataIdMap.get(n.dataId).id,R=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),D=new Uint8Array(new Int32Array(b).buffer),F=new Uint8Array(new Int32Array(w).buffer),O=new Uint8Array(new Int32Array(S).buffer),M=new Uint8Array(new Int32Array(d).buffer),L=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),B=e.dataIdMap.get(_.dataId).id;RL(E,R,n.shape.length,D,F,O,M,L,d.length,B),k=zt({inputs:{x:_},backend:e,attrs:{shape:f}}),e.disposeData(_.dataId)}return k}var DL={kernelName:Ss,backendName:\"wasm\",setupFunc:Tne,kernelFunc:_ne};function $ne(r){let{backend:e,inputs:t,attrs:o}=r,{data:n,dataSplits:s}=t,{separator:a,nGramWidths:i,leftPad:p,rightPad:u,padWidth:c,preserveShortSequences:l}=o,m=e.readSync(n.dataId),d=e.readSync(s.dataId),[f,h]=up(m,d,a,i,p,u,c,l),g=e.makeOutput([f.length],\"string\"),x=e.dataIdMap.get(g.dataId);x.stringBytes=f;let b=e.makeOutput(s.shape,\"int32\");return e.typedArrayFromHeap(b).set(h),[g,b]}var AL={kernelName:ma,backendName:\"wasm\",kernelFunc:$ne};function Ene(r){let{backend:e,inputs:t,attrs:o}=r,{input:n,delimiter:s}=t,{skipEmpty:a}=o,i=e.readSync(n.dataId),p=e.readSync(s.dataId),[u,c,l]=pp(i,p[0],a),m=c.length,d=e.makeOutput([m,2],\"int32\");e.typedArrayFromHeap(d).set(u);let h=e.makeOutput([m],\"string\"),g=e.dataIdMap.get(h.dataId);g.stringBytes=c;let x=e.makeOutput([2],\"int32\");return e.typedArrayFromHeap(x).set(l),[d,h,x]}var FL={kernelName:Hi,backendName:\"wasm\",kernelFunc:Ene};function Rne(r){let{backend:e,inputs:t,attrs:o}=r,{input:n}=t,{numBuckets:s}=o,a=e.readSync(n.dataId),i=cp(a,s),p=e.makeOutput(n.shape,\"int32\");return e.typedArrayFromHeap(p).set(i),p}var PL={kernelName:Ki,backendName:\"wasm\",kernelFunc:Rne};var Dne=!0,OL=Je(Is,Dne);var ML;function Ane(r){ML=r.wasm.cwrap(ys,null,[\"number\",\"number\",\"number\",\"number\"])}function Fne(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims(\"sum\",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;ML(p,x,we[b.dtype],w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var LL={kernelName:ys,backendName:\"wasm\",setupFunc:Ane,kernelFunc:Fne};var BL=Ce(vs);var zL=Ce(ks);var VL;function Pne(r){VL=r.wasm.cwrap(cs,null,[\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"number\",\"number\"])}function One(r){let{backend:e,inputs:t,attrs:o}=r,{tensor:n,indices:s,updates:a}=t,{}=o,i=e.makeOutput(n.shape,n.dtype);if(y.sizeFromShape(n.shape)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=pu.calculateShapes(a,s,n.shape),f=e.dataIdMap.get(s.dataId).id,g=e.dataIdMap.get(a.dataId).id,b=e.dataIdMap.get(n.dataId).id,w=new Uint8Array(new Int32Array(l).buffer),S=e.dataIdMap.get(i.dataId).id;return VL(f,g,we[a.dtype],p,u,c,w,m,S,b),i}var WL={kernelName:cs,backendName:\"wasm\",setupFunc:Pne,kernelFunc:One};var UL;function Mne(r){UL=r.wasm.cwrap(so,null,[\"number\",\"array\",\"number\",\"array\",\"number\",\"number\"])}function Lne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,s=t.dataIdMap.get(n.dataId).id,{reps:a}=o,i=new Array(n.shape.length);for(let m=0;m{let{x:o}=r,{k:n,sorted:s}=t,a=e.dataIdMap.get(o.dataId).id,i=new Uint8Array(new Int32Array(o.shape).buffer),p=o.shape.slice();p[p.length-1]=n;let u=e.makeOutput(p,o.dtype),c=e.dataIdMap.get(u.dataId).id,l=e.makeOutput(p,\"int32\"),m=e.dataIdMap.get(l.dataId).id;return HL(a,i,o.shape.length,we[o.dtype],n,s,c,m),[u,l]},KL={kernelName:Ns,backendName:\"wasm\",setupFunc:Bne,kernelFunc:zne};var qL;function Vne(r){qL=r.wasm.cwrap(Ts,null,[\"number\",\"number\",\"bool\",\"number\",\"number\",\"number\",\"number\",\"number\",\"number\",\"array\",\"number\",\"array\",\"number\",\"number\",\"number\",\"number\",\"number\"])}function Wne(r){let{backend:e,inputs:t,attrs:o}=r,{image:n,transforms:s}=t,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=e.makeOutput(g,n.dtype),S=e.dataIdMap.get(w.dataId).id,_=e.dataIdMap.get(n.dataId).id,R=e.dataIdMap.get(s.dataId).id,D=a===\"nearest\"?1:2,F;switch(i){case\"constant\":F=1;break;case\"reflect\":F=2;break;case\"wrap\":F=3;break;case\"nearest\":F=4;break;default:F=1;break}return qL(_,R,s.shape[0]>1,c,f,h,d,m,l,x,n.shape.length-1,b,g.length-1,D,F,p,S),w}var jL={kernelName:Ts,backendName:\"wasm\",setupFunc:Vne,kernelFunc:Wne};function Une(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e,{outputValues:a,outputShape:i,indices:p}=lp(o.readSync(s.dataId),n,s.shape,s.dtype);return[o.makeOutput(i,s.dtype,void 0,a),o.makeOutput([p.length],\"int32\",void 0,p)]}var XL={kernelName:qi,backendName:\"wasm\",kernelFunc:Une};function Gne(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n.shape[s],i=n.shape.length,p=new Array(i-1),u=0;for(let d=0;d({dataId:d,dtype:f,shape:p}))}var YL={kernelName:da,backendName:\"wasm\",kernelFunc:Gne};function Hne(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(0),o}var QL={kernelName:fa,backendName:\"wasm\",kernelFunc:Hne};var Kne=[K3,q3,j3,X3,Y3,Z3,oP,sP,aP,iP,uP,pP,cP,lP,mP,fP,gP,yP,wP,IP,kP,NP,TP,_P,EP,RP,AP,PP,MP,BP,VP,WP,UP,HP,qP,XP,QP,JP,tO,oO,sO,iO,pO,cO,mO,dO,fO,hO,gO,xO,bO,CO,wO,IO,kO,TO,$O,RO,DO,AO,J3,FO,PO,OO,LO,BO,zO,WO,GO,UO,HO,KO,qO,jO,YO,ZO,eM,tM,oM,sM,iM,pM,lM,mM,fM,yM,bM,CM,SM,vM,NM,TM,$M,EM,RM,Og,AM,PM,MM,LM,BM,zM,VM,WM,bP,GM,KM,jM,YM,ZM,eL,tL,rL,nL,aL,uL,pL,lL,mL,dL,SP,gM,fL,hL,xL,bL,wL,SL,vL,kL,NL,TL,_L,EL,DL,AL,FL,PL,OL,LL,BL,zL,WL,GL,KL,jL,tP,XL,YL,QL];for(let r of Kne)Ya(r);var wv=P();wv.registerFlag(\"WASM_HAS_SIMD_SUPPORT\",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});wv.registerFlag(\"WASM_HAS_MULTITHREAD_SUPPORT\",async()=>{if(wv.get(\"IS_NODE\"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var $v=Bp(tB()),iB=Bp(oB()),Ev=Bp(nB());var sB=$v.default||$v,qne=Ev.default||Ev,am=class extends ro{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(pB),_v=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Lo(this,ur())}write(e,t,o){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,o,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}move(e,t,o,n,s){let a=this.dataIdNextNumber++;if(n===\"string\"){let c=t;this.dataIdMap.set(e,{id:a,stringBytes:c,shape:o,dtype:n,memoryOffset:null,refCount:s});return}let i=y.sizeFromShape(o),p=i*y.bytesPerElement(n),u=this.wasm._malloc(p)>>>0;this.dataIdMap.set(e,{id:a,memoryOffset:u,shape:o,dtype:n,refCount:s}),this.wasm.tfjs.registerTensor(a,i,u),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,p),u)}async read(e){return this.readSync(e)}readSync(e,t,o){let{memoryOffset:n,dtype:s,shape:a,stringBytes:i}=this.dataIdMap.get(e);if(s===\"string\")return(t==null||t===0)&&(o==null||o>=i.length)?i:i.slice(t,o);t=t||0,o=o||y.sizeFromShape(a);let p=y.bytesPerElement(s),u=this.wasm.HEAPU8.slice(n+t*p,n+o*p);return Xne(u.buffer,s)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let o=this.dataIdMap.get(e);if(o.refCount--,!t&&o.refCount>0)return!1;this.wasm._free(o.memoryOffset),this.wasm.tfjs.disposeData(o.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),\"PThread\"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,o,n){let s;if(o==null)s=this.write(n!=null?n:null,e,t);else{let a=this.dataIdNextNumber++;s={id:a},this.dataIdMap.set(s,{id:a,memoryOffset:o,shape:e,dtype:t,refCount:1});let i=y.sizeFromShape(e);this.wasm.tfjs.registerTensor(a,i,o)}return{dataId:s,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:o}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(o),a=y.sizeFromShape(e);switch(t){case\"float32\":return new Float32Array(n,s,a);case\"int32\":return new Int32Array(n,s,a);case\"bool\":return new Uint8Array(n,s,a);default:throw new Error(`Unknown dtype ${t}`)}}};function jne(r){return(e,t)=>(y.fetch(r,{credentials:\"same-origin\"}).then(o=>{o.ok||e.env.a(`failed to load wasm binary file at '${r}'`),o.arrayBuffer().then(n=>{WebAssembly.instantiate(n,e).then(s=>{t(s.instance,s.module)})})}),{})}function aB(r,e,t){if(Vg!=null)return Vg;let o=\"tfjs-backend-wasm.wasm\";return r&&e?o=\"tfjs-backend-wasm-threaded-simd.wasm\":r&&(o=\"tfjs-backend-wasm-simd.wasm\"),nm!=null&&nm[o]!=null?nm[o]:t+o}async function uB(){let[r,e]=await Promise.all([P().getAsync(\"WASM_HAS_SIMD_SUPPORT\"),P().getAsync(\"WASM_HAS_MULTITHREAD_SUPPORT\")]);return new Promise((t,o)=>{let n={};n.locateFile=(i,p)=>{if(i.endsWith(\".worker.js\")){let u=iB.wasmWorkerContents.replace(/\\n/g,\"\\\\n\"),c=new Blob([u],{type:\"application/javascript\"});return URL.createObjectURL(c)}return i.endsWith(\".wasm\")?aB(r,e,om!=null?om:p):p+i},Rv&&(n.instantiateWasm=jne(aB(r,e,om!=null?om:\"\")));let s=!1;n.onAbort=()=>{if(s||sm)return;sm=!0,o({message:\"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers\"})};let a;e&&r&&Vg==null?(n.mainScriptUrlOrBlob=new Blob([\"var WasmBackendModuleThreadedSimd = \"+sB.toString()],{type:\"text/javascript\"}),a=sB(n)):a=qne(n),a.then(i=>{s=!0,sm=!1;let p=null;i.tfjs={init:i.cwrap(\"init\",null,[]),initWithThreadsCount:i.cwrap(\"init_with_threads_count\",null,[\"number\"]),getThreadsCount:i.cwrap(\"get_threads_count\",\"number\",[]),registerTensor:i.cwrap(\"register_tensor\",null,[\"number\",\"number\",\"number\"]),disposeData:i.cwrap(\"dispose_data\",p,[\"number\"]),dispose:i.cwrap(\"dispose\",p,[])},t({wasm:i})}).catch(o)})}function Xne(r,e){switch(e){case\"float32\":return new Float32Array(r);case\"int32\":return new Int32Array(r);case\"bool\":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${e}`)}}var Yne=[\"tfjs-backend-wasm.wasm\",\"tfjs-backend-wasm-simd.wasm\",\"tfjs-backend-wasm-threaded-simd.wasm\"],Vg=null,om=null,nm={},sm=!1,Rv=!1;function Qne(r,e=!1){if(bw(\"setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release.\"),sm)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`\");Vg=r,Rv=e}function Zne(r,e=!1){if(sm)throw new Error(\"The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`\");if(typeof r==\"string\")om=r;else{nm=r;let t=Yne.filter(o=>nm[o]==null);if(t.length>0)throw new Error(`There were no entries found for the following binaries: ${t.join(\",\")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}Rv=e}var pB=-1,_v=-1;function Jne(r){pB=r}function ese(){if(_v===-1)throw new Error(\"WASM backend not initialized.\");return _v}var tse=\"4.5.0\";var rse=2;eu(\"wasm\",async()=>{let{wasm:r}=await uB();return new am(r)},rse);var Fo=P();Fo.registerFlag(\"WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE\",()=>15);Fo.registerFlag(\"WEBGPU_CPU_FORWARD\",()=>!0);Fo.registerFlag(\"WEBGPU_MATMUL_PROGRAM_TYPE\",()=>-1);Fo.registerFlag(\"WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE\",()=>!0);Fo.registerFlag(\"WEBGPU_USE_LOW_POWER_GPU\",()=>!1);Fo.registerFlag(\"WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD\",()=>1e3);Fo.registerFlag(\"WEBGPU_USE_PROFILE_TOOL\",()=>!1);Fo.registerFlag(\"WEBGPU_IMPORT_EXTERNAL_TEXTURE\",()=>!0);Fo.registerFlag(\"WEBGPU_USE_NAIVE_CONV2D_DEBUG\",()=>!1);Fo.registerFlag(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\",()=>0);Fo.registerFlag(\"WEBGPU_CONV_SEPARATE_IM2COL_SHADER\",()=>!1);Fo.registerFlag(\"WEBGPU_PRINT_SHADER\",()=>\"\");var Wg=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith(\"gen\"))return Number(this.architecture.match(/\\d+/));if(this.architecture.startsWith(\"xe\"))return 12}return 0}isIntel(){return this.vendor===\"intel\"}};var Ug=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireBuffer(e,t,o=!1,n=!0){let s,a=cB(e,t);return n?(this.freeBuffers.has(a)||this.freeBuffers.set(a,[]),this.freeBuffers.get(a).length>0?(s=this.freeBuffers.get(a).pop(),this.numFreeBuffers--):(s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o}),this.numBytesAllocated+=e)):(s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o}),this.numBytesAllocated+=e),this.usedBuffers.has(a)||this.usedBuffers.set(a,[]),this.usedBuffers.get(a).push(s),this.numUsedBuffers++,this.numBytesUsed+=e,s}releaseBuffer(e,t,o,n=!0){if(this.freeBuffers.size===0)return;let s=cB(t,o),a=this.usedBuffers.get(s),i=a.indexOf(e);if(i<0)throw new Error(\"Cannot find the buffer in buffer manager\");a[i]=a[a.length-1],a.pop(),this.numUsedBuffers--,this.numBytesUsed-=t,n?(this.freeBuffers.get(s).push(e),this.numFreeBuffers++):(e.destroy(),this.numBytesAllocated-=t)}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function cB(r,e){return`${r}_${e}`}var Gg=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,o,n){let s=mB(o),a=e*t*s,i=lB(e,t,o,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=a,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let u=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(u),u}this.numBytesAllocated+=a;let p=this.device.createTexture({size:[e,t],format:o,usage:n});return this.usedTextures.get(i).push(p),p}releaseTexture(e,t,o,n,s){if(this.freeTextures.size===0)return;let a=lB(t,o,n,s);this.freeTextures.has(a)||this.freeTextures.set(a,[]),this.freeTextures.get(a).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(a),p=i.indexOf(e);if(p<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");i.splice(p,1);let u=mB(n),c=t*o*u;this.numBytesUsed-=c}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function lB(r,e,t,o){return`${r}_${e}_${t}_${o}`}function mB(r){if(r===\"rgba8unorm\")return 16;throw new Error(`${r} is not supported!`)}function dB(r,e){if(Math.max(...r)>5)throw new Error(\"Cannot symbolically compute strides for rank > 6 tensor.\");let t=r.length,o=\"xyzwuv\",n=r.map(a=>`${e}.${o[a]}`),s=new Array(t-1);s[t-2]=n[t-1];for(let a=t-3;a>=0;--a)s[a]=`(${s[a+1]} * ${n[a+1]})`;return s}var Bs=(r,e,t)=>t===\"int32\"?`atomicAdd(${r}, bitcast(${e}));`:`\n {\n var oldValue = 0;\n loop {\n let newValueF32 = bitcast(oldValue) + (${e});\n let newValue = bitcast(newValueF32);\n let res = atomicCompareExchangeWeak(${r}, oldValue, newValue);\n if res.exchanged {\n break;\n }\n oldValue = res.old_value;\n }\n }`;var xB=(r,e,t,o,n)=>{let s={dtype:o.dtype,shape:o.shape},a=nse(t,s,e),i=r.createShaderModule({code:a,label:e.constructor.name}),p=r.createComputePipeline({compute:{module:i,entryPoint:\"_start\"},label:e.constructor.name,layout:\"auto\"}),u=P().get(\"WEBGPU_PRINT_SHADER\");if(u!==\"\"){u=u.toLowerCase();let c=u.split(\",\");(u===\"all\"||c.some(l=>n.toLowerCase().includes(l)))&&(console.group(n),console.debug(a),console.groupEnd())}return p},Ae=(r,e=\"f32\")=>{switch(r){case 1:return`${e}`;case 2:return`vec2<${e}>`;case 3:return`vec3<${e}>`;case 4:return`vec4<${e}>`;default:throw new Error(`${r}-component ${e} is not supported.`)}};function Nt(r){if(r<=1)return\"i32\";if(r===2)return\"vec2\";if(r===3)return\"vec3\";if(r===4)return\"vec4\";if(r===5)return\"vec5\";if(r===6)return\"vec6\";throw Error(`GPU for rank ${r} is not yet supported`)}function Po(r){if(r===0)return\"x\";if(r===1)return\"y\";if(r===2)return\"z\";if(r===3)return\"w\";if(r===4)return\"u\";if(r===5)return\"v\";throw Error(`Index ${r} is not yet supported`)}function K(...r){let e;switch(r.length){case 0:e=`\n fn main()\n `;break;case 1:e=`\n fn main(${r[0]} : i32)\n `;break;default:throw Error(\"Unreachable\")}return e}function fB(r,e){let t;return t=`\n ${ose(e)}\n fn _start(@builtin(local_invocation_id) LocalId : vec3,\n @builtin(global_invocation_id) GlobalId : vec3,\n @builtin(local_invocation_index) LocalIndex: u32,\n @builtin(workgroup_id) WorkgroupId : vec3,\n @builtin(num_workgroups) NumWorkgroups : vec3) {\n localId = LocalId;\n localIndex = LocalIndex;\n globalId = GlobalId;\n numWorkgroups = NumWorkgroups;\n workgroupId = WorkgroupId;\n ${r?\"main(getGlobalIndex());\":\"main();\"};\n }\n `,t}function ose(r){return`\n @compute @workgroup_size(${r.workgroupSize[0]}, ${r.workgroupSize[1]}, ${r.workgroupSize[2]})\n`}function nse(r,e,t){let o=[],n=t.workgroupSize[0]*t.workgroupSize[1]*t.workgroupSize[2];if(t.outputComponent=t.outputComponent?t.outputComponent:1,o.push(`\n\n var localId: vec3;\n var localIndex: u32;\n var globalId: vec3;\n var numWorkgroups: vec3;\n var workgroupId: vec3;\n\n // Only used when the y/z dimension of workgroup size is 1.\n fn getGlobalIndex() -> i32 {\n ${bB(t)?\" return i32(globalId.x);\":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y +\n workgroupId.y * numWorkgroups.x + workgroupId.x) * ${n}u +\n localIndex);\n `}\n }\n `),t.isFromPixels){o.push(`\n struct Uniform {\n size : i32,\n numChannels : i32,\n outShapeStrides : vec2,\n };\n\n @group(0) @binding(0) var result: array<${kp(e.dtype,t.outputComponent)}>;\n @group(0) @binding(2) var uniforms: Uniform;\n `);let f=gB(t);return[hB,o.join(`\n`),Dv(e.shape),t.getUserCode(),fB(f,t)].join(`\n`)}let s,a,i=\"struct Uniforms { NAN : f32, INFINITY : f32, \";t.variableNames.forEach((f,h)=>{let g=Nt(r[h].shape.length);i+=`${f.charAt(0).toLowerCase()+f.slice(1)}Shape : ${g}, `,s=r[h].shape.length-1,a=Nt(s),i+=`${f.charAt(0).toLowerCase()+f.slice(1)}ShapeStrides: ${a}, `});let p=Nt(e.shape.length);i+=`outShape : ${p}, `,s=e.shape.length-1,a=Nt(s),i+=`\n outShapeStrides: ${a}, `,t.size&&(i+=\"size : i32, \"),t.uniforms&&(i+=t.uniforms),i+=\"};\",i=mse(i),o.push(i),t.atomic?o.push(`\n @group(0) @binding(0) var result: array>;\n `):o.push(`\n @group(0) @binding(0) var result: array<${kp(e.dtype,t.outputComponent)}>;\n `),t.variableNames.forEach((f,h)=>{o.push(`\n @group(0) @binding(${1+h}) var ${f}: array<${t.variableComponents?kp(r[h].dtype,t.variableComponents[h]):kp(r[h].dtype,t.outputComponent)}>;\n `)}),i!==\"\"&&o.push(`\n @group(0) @binding(${1+t.variableNames.length}) var uniforms: Uniforms;\n `);let u=pse(e.shape,t.dispatchLayout),c=[hB,o.join(`\n`)+sse,Dv(e.shape),u,cse(e.shape.length)];t.atomic||c.push(lse(e.shape,e.dtype,t.outputComponent)),t.variableNames.forEach((f,h)=>{c.push(`${Dv(r[h].shape,f)}`)});let l=r.map((f,h)=>use(f,e.shape,t.variableComponents?t.variableComponents[h]:t.outputComponent,t.dispatchLayout.x.length===e.shape.length)).join(`\n`);c.push(l),c.push(t.getUserCode());let m=gB(t);return c.push(fB(m,t)),c.join(`\n`)}function yB(r,e,t,o){let n=r.shaderKey;if(r.isFromPixels)return n;let s=t.map(c=>c.dtype).concat(o.dtype),a=t.map(c=>C.getBroadcastDims(c.shape,o.shape)),i=t.map(c=>y.arraysEqual(c.shape,o.shape)).join(\"_\"),p=a.map(c=>c.join(\"_\")).join(\";\"),u=bB(r)?\"flatDispatch\":\"\";return n+=\"_\"+(r.workgroupSize?r.workgroupSize.join(\",\"):\"\")+e.map(c=>c.length).join(\",\")+s.join(\",\")+r.variableNames.join(\",\")+p+i+u,n}var hB=`\n struct vec5 {x: i32, y: i32, z: i32, w: i32, u: i32};\n struct vec6 {x: i32, y: i32, z: i32, w: i32, u: i32, v: i32};\n\n // Checks whether coordinates lie within the bounds of the shape.\n fn coordsInBounds2D(coord : vec2, shape : vec2) -> bool {\n return all(coord >= vec2(0)) && all(coord < shape);\n }\n fn coordsInBounds3D(coord : vec3, shape : vec3) -> bool {\n return all(coord >= vec3(0)) && all(coord < shape);\n }\n fn coordsInBounds4D(coord : vec4, shape : vec4) -> bool {\n return all(coord >= vec4(0)) && all(coord < shape);\n }\n\n fn getIndexFromCoords1D(coord : i32, shape : i32) -> i32 {\n return coord;\n }\n fn getIndexFromCoords2D(coords : vec2, shape : vec2) -> i32 {\n return dot(coords, vec2(shape.y, 1));\n }\n fn getIndexFromCoords3D(coords : vec3, shape : vec3) -> i32 {\n return dot(coords, vec3(shape.y * shape.z, shape.z, 1));\n }\n fn getIndexFromCoords4D(coords : vec4, shape : vec4) -> i32 {\n return dot(coords, vec4(\n shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));\n }\n fn getIndexFromCoords5D(coords : vec5, shape : vec5) -> i32 {\n let shapeStrides: vec5 = vec5(shape.y * shape.z * shape.w * shape.u, shape.z * shape.w * shape.u, shape.w * shape.u, shape.u, 1);\n return coords.x*shapeStrides.x + coords.y*shapeStrides.y + coords.z*shapeStrides.z + coords.w*shapeStrides.w + coords.u*shapeStrides.u;\n }\n fn getIndexFromCoords6D(coords : vec6, shape : vec6) -> i32 {\n let shapeStrides: vec6 = vec6(shape.y * shape.z * shape.w * shape.u * shape.v, shape.z * shape.w * shape.u * shape.v, shape.w * shape.u * shape.v, shape.u * shape.v, shape.v, 1);\n return coords.x*shapeStrides.x + coords.y*shapeStrides.y + coords.z*shapeStrides.z + coords.w*shapeStrides.w + coords.u*shapeStrides.u + coords.v*shapeStrides.v;\n }\n\n fn idiv(a: i32, b: i32, sign: f32) -> i32 {\n var res: i32 = a / b;\n let modulo: i32 = a % b;\n if (sign < 0. && modulo != 0) {\n res = res - 1;\n }\n return res;\n }\n\n // NaN defination in IEEE 754-1985 is :\n // - sign = either 0 or 1.\n // - biased exponent = all 1 bits.\n // - fraction = anything except all 0 bits (since all 0 bits represents infinity).\n // https://en.wikipedia.org/wiki/IEEE_754-1985#Representation_of_non-numbers\n fn isnan(val: f32) -> bool {\n let floatToUint: u32 = bitcast(val);\n return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n }\n fn isnanVec4(val : vec4) -> vec4 {\n let floatToUint: vec4 = bitcast>(val);\n return (floatToUint & vec4(0x7fffffffu)) > vec4(0x7f800000u);\n }\n`,sse=`\n fn isinf(val: f32) -> bool {\n return abs(val) == uniforms.INFINITY;\n }\n`;function Dv(r,e=\"\"){let t=r.length,o=e!==\"\"?`get${e.charAt(0).toUpperCase()+e.slice(1)}CoordsFromIndex`:\"getCoordsFromIndex\",n=e!==\"\"?`${e.charAt(0).toLowerCase()+e.slice(1)}ShapeStrides`:\"outShapeStrides\";if(t<=1)return`fn ${o}(index : i32) -> i32 { return index; }`;let s=y.computeStrides(r),a=Nt(t),i=[];for(let u=0;u vec2 {\n let d0 = index / uniforms.${n}; let d1 = index - d0 * uniforms.${n};\n return vec2(d0, d1);\n }`;let p;return p=\"var index2 = index;\"+s.map((u,c)=>{let l=`let ${i[c]} = index2 / uniforms.${n}.${Po(c)}`,m=c===s.length-1?`let ${i[c+1]} = index2 - ${i[c]} * uniforms.${n}.${Po(c)}`:`index2 = index2 - ${i[c]} * uniforms.${n}.${Po(c)}`;return`${l}; ${m};`}).join(\"\"),`\n fn ${o}(index : i32) -> ${a} {\n ${p}\n return ${a}(${i.join(\",\")});\n }\n `}function ase(r,e){let t=r.name,o=r.shape.length,n=Nt(o),s=\"get\"+t.charAt(0).toUpperCase()+t.slice(1),a=[\"d0\",\"d1\",\"d2\",\"d3\",\"d4\",\"d5\"].slice(0,o),i=a.map(c=>`${c} : i32`).join(\", \");if(o<1)return`\n fn ${s}() -> ${Ae(e)} {\n return ${Ae(e)}(${t}[0]);\n }\n `;let p=`uniforms.${t.charAt(0).toLowerCase()+t.slice(1)}Shape`,u=`${o}D`;return o===0&&(u=\"1D\"),`\n fn ${s}(${i}) -> ${Ae(e)} {\n return ${Ae(e)}(${t}[getIndexFromCoords${u}(${n}(${a.join(\",\")}),\n ${p})${e===1?\"\":` / ${e}`}]);\n }\n `}function ise(r,e,t,o){let n=r.name,s=n.charAt(0).toUpperCase()+n.slice(1),a=\"get\"+s+\"ByOutput\",i=r.shape.length,p=e.length,u=Nt(p);if(y.arraysEqual(r.shape,e)&&o)return`\n fn ${a}Index(globalIndex : i32) -> ${Ae(t)} {\n return ${Ae(t)}(${n}[globalIndex]);\n }\n\n fn ${a}Coords(coords : ${u}) -> ${Ae(t)} {\n return ${Ae(t)}(${n}[${p>1?\"getOutputIndexFromCoords(coords)\":\"coords\"}${t===1?\"\":` / ${t}`}]);\n }\n `;let c=C.getBroadcastDims(r.shape,e),l=p-i,m=\"\";if(i===0)return`\n fn ${a}Index(globalIndex : i32) -> ${Ae(t)}{\n return get${s}();\n }\n\n fn ${a}Coords(coords : ${u}) -> ${Ae(t)}{\n return get${s}();\n }\n `;p<2&&c.length>=1?m=\"coords = 0;\":m=c.map(g=>`coords.${Po(g+l)} = 0;`).join(`\n`);let d=\"\";if(p<2&&i>0)d=\"coords\";else if(p>1){let g=Nt(i),x=r.shape.map((b,w)=>`coords.${Po(w+l)}`).join(\", \");d=`${g}(${x})`}else d=\"coords\";let f=`uniforms.${n.charAt(0).toLowerCase()+n.slice(1)}Shape`,h=`${i}D`;return`\n fn ${a}Index(globalIndex : i32) -> ${Ae(t)} {\n var coords = getCoordsFromIndex(globalIndex);\n ${m}\n return ${Ae(t)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t===1?\"\":` / ${t}`}]);\n }\n\n fn ${a}Coords(coordsIn : ${u}) -> ${Ae(t)} {\n var coords = coordsIn;\n ${m}\n return ${Ae(t)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t===1?\"\":` / ${t}`}]);\n }\n`}function use(r,e,t,o){let n=ase(r,t);return r.shape.length<=e.length&&(n+=ise(r,e,t,o)),n}function pse(r,e){let{x:t,y:o=[],z:n=[]}=e,s=r.length,a=t.length+o.length+n.length;if(a!==s)return\"\";if(t.length===s)return`fn getOutputCoords() -> ${Nt(s)}{\n let globalIndex = getGlobalIndex();\n return getCoordsFromIndex(globalIndex);\n }\n `;let i=\"\",p=[t,o,n];for(let m=0;m ${c} {\n ${i}\n`;return u.length===0?l+=`return ${c}(0); }`:l+=`return ${c}(${u.join(\",\")}); }`,l}function cse(r){let e=\"\";switch(r){case 0:case 1:e+=`\n fn getOutputIndexFromCoords(coords : i32) -> i32 {\n return coords;\n }\n `;break;case 2:e+=`\n fn getOutputIndexFromCoords(coords : vec2) -> i32 {\n return dot(coords, vec2(uniforms.outShapeStrides, 1));\n }\n `;break;case 3:e+=`\n fn getOutputIndexFromCoords(coords : vec3) -> i32 {\n return dot(coords, vec3(uniforms.outShapeStrides.x, uniforms.outShapeStrides.y, 1));\n }\n `;break;case 4:e+=`\n fn getOutputIndexFromCoords(coords : vec4) -> i32 {\n return dot(coords, vec4(\n uniforms.outShapeStrides.x, uniforms.outShapeStrides.y, uniforms.outShapeStrides.z, 1));\n }\n `;break;case 5:e+=`\n fn getOutputIndexFromCoords(coords : vec5) -> i32 {\n return coords.x * uniforms.outShapeStrides.x +\n coords.y * uniforms.outShapeStrides.y +\n coords.z * uniforms.outShapeStrides.z +\n coords.w * uniforms.outShapeStrides.w +\n coords.u;\n }\n `;break;case 6:e+=`\n fn getOutputIndexFromCoords(coords : vec6) -> i32 {\n return coords.x * uniforms.outShapeStrides.x +\n coords.y * uniforms.outShapeStrides.y +\n coords.z * uniforms.outShapeStrides.z +\n coords.w * uniforms.outShapeStrides.w +\n coords.u * uniforms.outShapeStrides.u +\n coords.v;\n }\n `;break;default:y.assert(!1,()=>`Unsupported ${r}D shape`);break}return e}function bB(r){return r.dispatch[1]===1&&r.dispatch[2]===1}function kp(r,e=1){if(r===\"float32\")return Ae(e,\"f32\");if(r===\"int32\"||r===\"bool\")return Ae(e,\"i32\");throw new Error(`type ${r} is not supported.`)}function lse(r,e,t){let o=r.length,n=kp(e,t),s=`fn setOutputAtIndex(flatIndex : i32, value : ${Ae(t)}) {\n result[flatIndex] = ${n}(value);\n }\n\n fn setOutputAtIndexI32(flatIndex : i32, value : ${Ae(t,\"i32\")}) {\n result[flatIndex] = ${n}(value);\n }\n `;if(o>=2){let a=[\"d0\",\"d1\",\"d2\",\"d3\",\"d4\",\"d5\"].slice(0,o),i=Nt(o);s+=`\n fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(\", \")}, value : ${Ae(t)}) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndex(flatIndex${t===1?\"\":` / ${t}`}, value);\n }\n fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(\", \")}, value : ${Ae(t,\"i32\")}) {\n let flatIndex = getOutputIndexFromCoords(${i}(${a.join(\", \")}));\n setOutputAtIndexI32(flatIndex${t===1?\"\":` / ${t}`}, value);\n }\n `}return s}function mse(r){let e=/(\\w+)\\s*:\\s*vec(5|6)/g;r=r.replace(e,o=>\"@align(16) \"+o);let t=/vec(5|6)\\s*,\\s*(\\w+)/g;return r=r.replace(t,(o,n,s)=>`vec${n}, @align(16) ${s}`),r}function gB(r){return!(r.dispatchLayout.hasOwnProperty(\"y\")&&r.dispatchLayout.y.length!==0||r.dispatchLayout.hasOwnProperty(\"z\")&&r.dispatchLayout.z.length!==0)}var Fv={};He(Fv,{GPUBytesPerElement:()=>Hg,MatMulProgramType:()=>Oo,assertNotComplex:()=>cm,computeDispatch:()=>q,computeWorkPerThreadForConv2d:()=>um,computeWorkgroupInfoForMatMul:()=>Av,computeWorkgroupSizeForConv2d:()=>im,flatDispatchLayout:()=>Z,isWebGPUSupported:()=>pm,tilesFitEvenlyIntoShape:()=>fse});var Np=r=>{let e=1;for(let t=0;tt%r[o]===0)}function q(r,e,t=[1,1,1],o=[1,1,1]){let[n,s,a]=[Math.ceil(Np(r.x.map(i=>e[i]))/(t[0]*o[0])),r.y?Math.ceil(Np(r.y.map(i=>e[i]))/(t[1]*o[1])):1,r.z?Math.ceil(Np(r.z.map(i=>e[i]))/(t[2]*o[2])):1];return[n,s,a]}function Av(r,e,t,o=!1){let n=[8,8,1],s=[4,4,1];return o||(r<=8&&(s[1]=1),e<=16&&t<=16&&(n[0]=4)),{workgroupSize:n,elementsPerThread:s}}function im(r,e,t=!1){if(t)return[8,8,1];let o=Np(r.x.map(s=>e[s])),n=Np(r.y.map(s=>e[s]));return o<=4?[4,16,1]:n<=4?[16,4,1]:[16,16,1]}function um(r,e,t=!1){if(t)return[4,4,1];let o=Np(r.x.map(s=>e[s])),n=Np(r.y.map(s=>e[s]));return o<=4?[1,2,1]:n<=4?[2,1,1]:[2,2,1]}function Z(r){return{x:r.map((e,t)=>t)}}function Hg(r){if(r===\"float32\"||r===\"int32\"||r===\"bool\"||r===\"string\")return 4;if(r===\"complex64\")return 8;throw new Error(`Unknown dtype ${r}`)}function pm(){return(typeof window!=\"undefined\"||typeof WorkerGlobalScope!=\"undefined\")&&!!navigator.gpu}function cm(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!==\"complex64\",()=>`${e} does not support complex64 tensors in the WebGPU backend.`)})}var Oo;(function(r){r[r.MatMulReduceProgram=0]=\"MatMulReduceProgram\",r[r.MatMulSplitKProgram=1]=\"MatMulSplitKProgram\",r[r.MatMulSmallOutputSizeProgram=2]=\"MatMulSmallOutputSizeProgram\",r[r.MatMulPackedProgram=3]=\"MatMulPackedProgram\",r[r.MatMulMax=4]=\"MatMulMax\"})(Oo||(Oo={}));var hse=P().getNumber(\"WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD\"),gse=(r,e)=>{let t=r.limits.maxComputeWorkgroupsPerDimension,o=e.dispatchLayout,n=e.dispatch;if(n.every(a=>a<=t))return n;y.assert(n[0]>t&&o.y===void 0&&o.z===void 0,()=>\"Dispatch size exceeds WebGPU limits in Y or Z dimension.\");let s=Math.ceil(Math.sqrt(n[0]));return s>t?(s=Math.ceil(Math.cbrt(n[0])),y.assert(s<=t,()=>\"Total dispatch size exceeds WebGPU maximum.\"),[s,s,s]):[s,s,1]},Cu=class extends ro{nextDataId(){return Cu.nextDataId++}constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!pm())throw new Error(\"WebGPU is not supported on this device\");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has(\"timestamp-query-inside-passes\"),this.adapterInfo=new Wg(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new Ug(this.device),this.textureManager=new Gg(this.device),this.tensorMap=new Lo(this,ur()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:\"timestamp\",count:2})),P().getBool(\"WEBGPU_USE_PROFILE_TOOL\")&&(this.dummyCanvas=document.createElement(\"canvas\"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext(\"webgpu\"),this.dummyContext.configure({device:e,format:\"bgra8unorm\"}),document.body.appendChild(this.dummyCanvas))}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let o=this.tensorMap.get(e);if(this.decRef(e),!t&&o.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if(\"texture\"in t.resourceInfo){let o=t.resourceInfo;o.texture instanceof GPUTexture&&this.textureManager.releaseTexture(o.texture,o.width,o.height,o.format,o.usage),o.texture=null}else{let o=t.resourceInfo;this.bufferManager.releaseBuffer(o.buffer,o.size,o.usage),o.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,o){if(o===\"complex64\"&&e!=null)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:o,shape:t,values:e,refCount:1}),n}move(e,t,o,n,s){if(n===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");this.tensorMap.set(e,{dtype:n,shape:o,values:t,refCount:s})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage,!1)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let o=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,o,0,t),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=o.getMappedRange().slice(0);return o.unmap(),o!=null&&this.bufferManager.releaseBuffer(o,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),P().getBool(\"WEBGPU_USE_PROFILE_TOOL\")&&(y.assert(this.dummyContext!==void 0,()=>\"Fail to get context for profiling tool\"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let o=this.tensorMap.get(e);return this.releaseResource(e),o.values=t,o.values}readSync(e){let t=this.tensorMap.get(e),{values:o,complexTensorInfos:n}=t;if(o!=null||t.dtype===\"string\")return o;if(t.dtype===\"complex64\"){let h=this.readSync(n.real.dataId),g=this.readSync(n.imag.dataId),x=y.convertBackendValuesAndArrayBuffer(C.mergeRealAndImagArrays(h,g).buffer,\"float32\");return this.convertAndCacheOnCPU(e,x),x}let s=[\"opaque\",\"premultiplied\"],a=t.resourceInfo,i=a.size;y.assert(i%4===0,()=>\"Because there is 4 bytes for one pixel, buffer size must be multiple of 4.\");let p=i/4,u=new ArrayBuffer(i),c=256,l=256,m=s.map(h=>new OffscreenCanvas(c,l)),d=new OffscreenCanvas(c,l);this.ensureComputePassEnded(),m.map((h,g)=>{let x=h.getContext(\"webgpu\");return x.configure({device:this.device,format:\"bgra8unorm\",usage:GPUTextureUsage.COPY_DST,alphaMode:s[g]}),x.getCurrentTexture()}).map((h,g)=>{let x=c*4,b=(R,D,F)=>{this.ensureCommandEncoderReady(),this.currentCommandEncoder.copyBufferToTexture({buffer:a.buffer,bytesPerRow:x,offset:F},{texture:h},{width:R,height:D}),this.submitQueue();let O=d.getContext(\"2d\",{willReadFrequently:!0});O.clearRect(0,0,R,D),O.drawImage(m[g],0,0);let M=O.getImageData(0,0,R,D).data,L=s[g],B=new Uint8ClampedArray(u,F,R*D*4);for(let z=0;z0&&(b(S,k,_),_+=k*(c*4)),S=E%c,S>0&&b(S,1,_)});let f=y.convertBackendValuesAndArrayBuffer(u,t.dtype);return this.convertAndCacheOnCPU(e,f),f}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:o}=t;if(o!=null)return o;let n;if(t.dtype===\"complex64\"){let s=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),a=s[0],i=s[1];n=C.mergeRealAndImagArrays(a,i)}else{let s=t.resourceInfo,a=await this.getBufferData(s.buffer,s.size);n=y.convertBackendValuesAndArrayBuffer(a,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,o){let n=this.bufferManager.acquireBuffer(t,o);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,o){let n=e.buffer;if(o===\"complex64\")throw new Error(\"Cannot write to a complex64 dtype. \");let s={id:this.nextDataId()};this.tensorMap.set(s,{dtype:o,shape:t,values:null,refCount:1,external:e.zeroCopy});let a=this.tensorMap.get(s),i=Hg(a.dtype)*y.sizeFromShape(a.shape);if(e.buffer.sizey.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error(\"Failed to decode encoded string bytes into utf-8\")}return me(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn(\"This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.\");let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),a=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},p=await Promise.all(s);return i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(\", \"),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,o){return t===\"string\"&&o!=null&&o.length>0&&y.isString(o[0])&&(o=o.map(s=>y.encodeString(s))),{dataId:this.write(o,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if(\"texture\"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let o=t.resourceInfo;return{offset:0,size:o.size,buffer:o.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let o=Hg(t.dtype)*y.sizeFromShape(t.shape),n;if(t.values){if(n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage(),!0),n.mapState===\"unmapped\"){let s=this.bufferManager.acquireBuffer(o,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,!0,!1),a=s.getMappedRange();t.dtype===\"int32\"||t.dtype===\"bool\"?new Int32Array(a).set(t.values):new Float32Array(a).set(t.values),s.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(s,0,n,0,o),this.stagingPendingDisposal.push({size:o,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:s})}else{let s=n.getMappedRange();t.dtype===\"int32\"||t.dtype===\"bool\"?new Int32Array(s).set(t.values):new Float32Array(s).set(t.values),n.unmap()}t.values=null}else n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage());t.resourceInfo={size:o,usage:this.defaultGpuBufferUsage(),buffer:n}}makeUniforms(e){let t=0,o=0,n=[],s=1;e.forEach(u=>{u.data.length===0&&(u.data=[1]);let c;switch(u.data.length){case 1:c=4;break;case 2:c=8;break;case 3:c=16;break;case 4:c=16;break;case 5:c=16;break;case 6:c=16;break;default:y.assert(!1,()=>`Unsupported ${u.data.length}D shape`)}(o===5||o===6)&&(c=16),c>s&&(s=c),t=Math.ceil(t/c)*c,o=u.data.length,n.push(t),t+=u.data.length*4}),t=Math.ceil(t/s)*s;let a=new ArrayBuffer(t);e.forEach((u,c)=>{let l=n[c];u.type===\"int32\"?new Int32Array(a,l,u.data.length).set(u.data):u.type===\"uint32\"?new Uint32Array(a,l,u.data.length).set(u.data):new Float32Array(a,l,u.data.length).set(u.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,a,0,t);let p={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(p),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,o,n,s){if(s||(s=this.makeTensorInfo(e.outputShape,o)),y.sizeFromShape(s.shape)===0)return this.tensorMap.get(s.dataId).values=y.getTypedArrayFromDType(s.dtype,0),s;this.uploadToGPU(s.dataId),e.dispatch=gse(this.device,e);let a=[],i=[];if(!e.isFromPixels){a.push({type:\"float32\",data:[NaN]},{type:\"float32\",data:[1/0]}),i=t.concat(s).map(g=>g.shape);let h=\"int32\";if(i.map(g=>{a.push({type:h,data:g});let x=y.computeStrides(g);a.push({type:h,data:x})}),e.size){let g=y.sizeFromShape(e.outputShape);a.push({type:h,data:[e.outputComponent?g/e.outputComponent:g]})}}let p=t.map((h,g)=>{if(h.dtype===\"complex64\")throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");return this.uploadToGPU(h.dataId),{dtype:this.tensorMap.get(h.dataId).dtype,shape:h.shape,name:e.variableNames[g]}}),u=yB(e,i,p,s),c;u in this.pipelineCache?c=this.pipelineCache[u]:(c=xB(this.device,e,p,s,u),this.pipelineCache[u]=c),n&&(a=[...a,...n]);let l=[this.tensorToBinding(s),...t.map(h=>this.tensorToBinding(h)),this.makeUniforms(a)],m=this.device.createBindGroup({layout:c.getBindGroupLayout(0),entries:l.map((h,g)=>({binding:g,resource:h}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),f=this.activeTimers!=null;return f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(c),d.setBindGroup(0,m),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(h=>{this.commandQueueOwnedIds.add(h.dataId)}),this.commandQueueOwnedIds.add(s.dataId),P().get(\"WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE\")<=this.dispatchNumberInEncoder&&this.submitQueue(),f&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),s}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),o=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,o,0,16),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(o.getMappedRange()),s=Number(n[1]-n[0]);return o.unmap(),this.bufferManager.releaseBuffer(o,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),s/1e6}shouldExecuteOnCPU(e,t=hse){return P().getBool(\"WEBGPU_CPU_FORWARD\")&&e.every(o=>this.tensorMap.get(o.dataId).resourceInfo==null&&y.sizeFromShape(o.shape){let r={powerPreference:P().get(\"WEBGPU_USE_LOW_POWER_GPU\")?\"low-power\":\"high-performance\"},e=await navigator.gpu.requestAdapter(r),t={};e.features.has(\"timestamp-query-inside-passes\")&&(t.requiredFeatures=[\"timestamp-query-inside-passes\"]);let o=e.limits;t.requiredLimits={maxComputeWorkgroupStorageSize:o.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:o.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:o.maxStorageBufferBindingSize,maxBufferSize:o.maxBufferSize,maxComputeWorkgroupSizeX:o.maxComputeWorkgroupSizeX,maxComputeInvocationsPerWorkgroup:o.maxComputeInvocationsPerWorkgroup};let n=await e.requestDevice(t),s=await e.requestAdapterInfo();return new Cu(n,s)},3);var fe;(function(r){r[r.ADD=0]=\"ADD\",r[r.ATAN2=1]=\"ATAN2\",r[r.COMPLEX_MULTIPLY_IMAG=2]=\"COMPLEX_MULTIPLY_IMAG\",r[r.COMPLEX_MULTIPLY_REAL=3]=\"COMPLEX_MULTIPLY_REAL\",r[r.DIV=4]=\"DIV\",r[r.ELU_DER=5]=\"ELU_DER\",r[r.EQUAL=6]=\"EQUAL\",r[r.GREATER=7]=\"GREATER\",r[r.GREATER_EQUAL=8]=\"GREATER_EQUAL\",r[r.INT_DIV=9]=\"INT_DIV\",r[r.LESS=10]=\"LESS\",r[r.LESS_EQUAL=11]=\"LESS_EQUAL\",r[r.LOGICAL_AND=12]=\"LOGICAL_AND\",r[r.LOGICAL_OR=13]=\"LOGICAL_OR\",r[r.MAX=14]=\"MAX\",r[r.MIN=15]=\"MIN\",r[r.MOD=16]=\"MOD\",r[r.MUL=17]=\"MUL\",r[r.NOT_EQUAL=18]=\"NOT_EQUAL\",r[r.POW=19]=\"POW\",r[r.PRELU=20]=\"PRELU\",r[r.SQUARED_DIFFERENCE=21]=\"SQUARED_DIFFERENCE\",r[r.SUB=22]=\"SUB\"})(fe||(fe={}));var xse=`\n resultTemp = select(resultTemp, valueForNaN, isNaN | isnan(a) | isnan(b));`,yse=`\n resultTemp = select(\n resultTemp, vec4(valueForNaN),\n vec4(isNaN) | isnanVec4(a) | isnanVec4(b));\n `,bse=\"return a + b;\",Cse=\"var resultTemp = atan2(a, b);\",wse=\"return areal * breal - aimag * bimag;\",Sse=\"return areal * bimag + aimag * breal;\",Ise=\"return a / b;\",vse=\"return select(a * (b + 1.0), a, b >= 0.);\",kse=\"return select(a * (b + vec4(1.0)), a, b >= vec4(0.));\",Nse=\"return f32(a == b);\",Tse=\"return vec4(a == b);\",_se=\"return f32(a > b);\",$se=\"return vec4(a > b);\",Ese=\"return f32(a >= b);\",Rse=\"return vec4(a >= b);\",Dse=`\n let s = sign(a) * sign(b);\n let ia = i32(round(a));\n let ib = i32(round(b));\n return f32(idiv(ia, ib, s));\n`,Ase=`\n let ia = vec4(round(a));\n let ib = vec4(round(b));\n let cond = ib != vec4(0);\n var resultTemp = vec4(0);\n let s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n resultTemp[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n resultTemp[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n resultTemp[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n resultTemp[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(resultTemp);\n`,Fse=\"return f32(a < b);\",Pse=\"return vec4(a < b);\",Ose=\"return f32(a <= b);\",Mse=\"return vec4(a <= b);\",Lse=\"return f32(a >= 1.0 && b >= 1.0);\",Bse=`return (vec4(a >= vec4(1.0)) *\n vec4(b >= vec4(1.0)));`,zse=\"return f32(a >= 1.0 || b >= 1.0);\",Vse=`return min(vec4(a >= vec4(1.0)) +\n vec4(b >= vec4(1.0)), vec4(1.0));`,Wse=\"var resultTemp = max(a, b);\",Use=\"var resultTemp = min(a, b);\",Gse=`\n let isNaN = b == 0.;\n var resultTemp = a % b;\n resultTemp = select((resultTemp + b) % b, resultTemp,\n (a < 0. && b < 0.) || (a >= 0. && b > 0.));\n`,Hse=`\n let isNaN = !vec4(b);\n var resultTemp = vec4(a % b);\n if (!((a[0] < 0. && b[0] < 0.) || (a[0] >= 0. && b[0] > 0.))) {\n resultTemp[0] = (resultTemp[0] + b[0]) % b[0];\n }\n if (!((a[1] < 0. && b[1] < 0.) || (a[1] >= 0. && b[1] > 0.))) {\n resultTemp[1] = (resultTemp[1] + b[1]) % b[1];\n }\n if (!((a[2] < 0. && b[2] < 0.) || (a[2] >= 0. && b[2] > 0.))) {\n resultTemp[2] = (resultTemp[2] + b[2]) % b[2];\n }\n if (!((a[3] < 0. && b[3] < 0.) || (a[3] >= 0. && b[3] > 0.))) {\n resultTemp[3] = (resultTemp[3] + b[3]) % b[3];\n }\n`,Kse=\"return a * b;\",qse=`\n var resultTemp = f32(a != b);\n let valueForNaN = 1.0;\n`,jse=`\n var resultTemp = vec4(a != b);\n let valueForNaN = 1.0;\n`,Xse=`\n let isNaN = a < 0.0 && floor(b) < b;\n if (b == 0.0) {\n return 1.0;\n }\n var resultTemp = select(sign(a) * pow(abs(a), b), pow(abs(a), b),\n round(abs(b) % 2.0) != 1.0);\n`,Yse=`\n let isModRound1Bool = vec4(round(abs(b) % vec4(2.0))) == vec4(1);\n let isModRound1 = vec4(isModRound1Bool);\n let multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n var resultTemp = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n let isExpZero = b == vec4(0.0);\n if (isExpZero.r) {\n resultTemp.r = 1.0;\n }\n if (isExpZero.g) {\n resultTemp.g = 1.0;\n }\n if (isExpZero.b) {\n resultTemp.b = 1.0;\n }\n if (isExpZero.a) {\n resultTemp.a = 1.0;\n }\n let isNaN = (a < vec4(0.0)) & (floor(b) < b);\n`,Qse=\"if (a < 0.0) { return b * a; } return a;\",Zse=`\n let aLessThanZero = vec4(a < vec4(0.0));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`,Jse=\"return (a - b) * (a - b);\",eae=\"return a - b;\";function Kc(r,e){do{let t;switch(r){case fe.ATAN2:t=Cse;break;case fe.MAX:t=Wse;break;case fe.MIN:t=Use;break;case fe.MOD:t=e?Hse:Gse;break;case fe.NOT_EQUAL:t=e?jse:qse;break;case fe.POW:t=e?Yse:Xse;break;default:continue}return`\n let isNaN = false;\n let valueForNaN = uniforms.NAN;\n {\n ${t}\n ${e?yse:xse}\n return resultTemp;\n }\n `}while(!1);switch(r){case fe.ADD:return bse;case fe.COMPLEX_MULTIPLY_IMAG:return Sse;case fe.COMPLEX_MULTIPLY_REAL:return wse;case fe.DIV:return Ise;case fe.ELU_DER:return e?kse:vse;case fe.EQUAL:return e?Tse:Nse;case fe.GREATER:return e?$se:_se;case fe.GREATER_EQUAL:return e?Rse:Ese;case fe.INT_DIV:return e?Ase:Dse;case fe.LESS:return e?Pse:Fse;case fe.LESS_EQUAL:return e?Mse:Ose;case fe.LOGICAL_AND:return e?Bse:Lse;case fe.LOGICAL_OR:return e?Vse:zse;case fe.MUL:return Kse;case fe.PRELU:return e?Zse:Qse;case fe.SQUARED_DIFFERENCE:return Jse;case fe.SUB:return eae;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var Q;(function(r){r[r.ABS=0]=\"ABS\",r[r.ACOS=1]=\"ACOS\",r[r.ACOSH=2]=\"ACOSH\",r[r.ASIN=3]=\"ASIN\",r[r.ASINH=4]=\"ASINH\",r[r.ATAN=5]=\"ATAN\",r[r.ATANH=6]=\"ATANH\",r[r.CEIL=7]=\"CEIL\",r[r.COS=8]=\"COS\",r[r.COSH=9]=\"COSH\",r[r.ELU=10]=\"ELU\",r[r.ERF=11]=\"ERF\",r[r.EXP=12]=\"EXP\",r[r.EXPM1=13]=\"EXPM1\",r[r.FLOOR=14]=\"FLOOR\",r[r.IS_FINITE=15]=\"IS_FINITE\",r[r.IS_INF=16]=\"IS_INF\",r[r.IS_NAN=17]=\"IS_NAN\",r[r.LINEAR=18]=\"LINEAR\",r[r.LOG=19]=\"LOG\",r[r.LOG1P=20]=\"LOG1P\",r[r.LOGICAL_NOT=21]=\"LOGICAL_NOT\",r[r.NEG=22]=\"NEG\",r[r.RELU=23]=\"RELU\",r[r.RELU6=24]=\"RELU6\",r[r.LEAKYRELU=25]=\"LEAKYRELU\",r[r.RECIPROCAL=26]=\"RECIPROCAL\",r[r.ROUND=27]=\"ROUND\",r[r.RSQRT=28]=\"RSQRT\",r[r.SELU=29]=\"SELU\",r[r.SIGMOID=30]=\"SIGMOID\",r[r.SIGN=31]=\"SIGN\",r[r.SIN=32]=\"SIN\",r[r.SINH=33]=\"SINH\",r[r.SOFTPLUS=34]=\"SOFTPLUS\",r[r.SQRT=35]=\"SQRT\",r[r.SQUARE=36]=\"SQUARE\",r[r.STEP=37]=\"STEP\",r[r.TAN=38]=\"TAN\",r[r.TANH=39]=\"TANH\",r[r.TO_INT=40]=\"TO_INT\"})(Q||(Q={}));var tae=\"return abs(a);\",rae=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n return acos(a);\n`,oae=`\n if (a < 1.) {\n return uniforms.NAN;\n }\n return acosh(a);\n`,nae=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n return asin(a);\n`,sae=\"return asinh(a);\",aae=`\n if (isnan(a)) {\n return uniforms.NAN;\n }\n return atan(a);\n`,iae=`\n if (abs(a) > 1.) {\n return uniforms.NAN;\n }\n if (a == 1.) {\n return uniforms.INFINITY;\n }\n if (a == -1.) {\n return -uniforms.INFINITY;\n }\n return atanh(a);\n`,uae=\"return ceil(a);\",pae=\"return cos(a);\",cae=`\n let e2x = exp(-a);\n return (e2x + 1.0 / e2x) / 2.0;\n`,lae=\"return exp(a) - 1.0;\",mae=\"if (a >= 0.0) { return a; } return (exp(a) - 1.0);\",dae=`\n var resFloat = exp(a) - vec4(1.0);\n if (a.r >= 0.0) {\n resFloat.r = a.r;\n }\n if (a.g >= 0.0) {\n resFloat.g = a.g;\n }\n if (a.b >= 0.0) {\n resFloat.b = a.b;\n }\n if (a.a >= 0.0) {\n resFloat.a = a.a;\n }\n return resFloat;\n`,fae=`\n // Error function is calculated approximately with elementary function.\n // See \"Handbook of Mathematical Functions with Formulas,\n // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n let p = ${C.ERF_P};\n let a1 = ${C.ERF_A1};\n let a2 = ${C.ERF_A2};\n let a3 = ${C.ERF_A3};\n let a4 = ${C.ERF_A4};\n let a5 = ${C.ERF_A5};\n\n let sign = sign(a);\n let absA = abs(a);\n let t = 1.0 / (1.0 + p * absA);\n return sign * (1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * exp(-absA * absA));\n`,hae=\"return exp(a);\",gae=\"return floor(a);\",xae=\"return f32(!isnan(a) && !isinf(a));\",yae=\"return f32(isinf(a));\",bae=\"return f32(isnan(a));\",Cae=\"return a;\",wae=`if (a < 0.0) { return uniforms.NAN; }\n return log(a);`,Sae=`\n if (isnan(a)) { return a; }\n return log(1.0 + a);\n`,Iae=\"return f32(!(a >= 1.0));\",vae=\"return -a;\",kae=\"if (a < 0.0) { return uniforms.alpha * a; } return a;\",Nae=`\n let aLessThanZero = vec4(a < vec4(0.0));\n return (aLessThanZero * (uniforms.alpha * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`,Tae=\"return 1.0 / a;\",_ae=\"return select(a, 0.0, a < 0.0);\",$ae=\"return clamp(a, 0.0, 6.0);\",Eae=\"return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));\",Rae=`\n return select(a, vec4(0.0), a < vec4(0.0));\n`,Dae=\"return round(a);\",Aae=\"return inverseSqrt(a);\",Fae=`\n if (a >= 0.0) {\n return ${C.SELU_SCALE} * a;\n } else {\n return ${C.SELU_SCALEALPHA} * (exp(a) - 1.0);\n }\n`,Pae=\"return 1.0 / (1.0 + exp(-1.0 * a));\",Oae=\"return sign(a);\",Mae=\"return sin(a);\",Lae=`\n let e2x = exp(a);\n return (e2x - 1.0 / e2x) / 2.0;\n`,Bae=`\n let epsilon = 1.1920928955078125e-7;\n let threshold = log(epsilon) + 2.0;\n\n let too_large = a > -threshold;\n let too_small = a < threshold;\n let exp_a = exp(a);\n\n if (too_large) {\n return a;\n } else if (too_small) {\n return exp_a;\n } else {\n return log(exp_a + 1.0);\n }\n`,zae=\"return sqrt(a);\",Vae=\"return a * a;\",Wae=`\n if (isnan(a)) {\n return a;\n }\n\n return select(uniforms.stepAlpha, 1.0, a > 0.0);\n`,Uae=\"return tan(a);\",Gae=`\n let e2x = exp(-2.0 * abs(a));\n return sign(a) * (1.0 - e2x) / (1.0 + e2x);\n`,Hae=\"return f32(i32((a)));\";function yi(r,e){switch(r){case Q.ABS:return tae;case Q.ACOS:return rae;case Q.ACOSH:return oae;case Q.ASIN:return nae;case Q.ASINH:return sae;case Q.ATAN:return aae;case Q.ATANH:return iae;case Q.COS:return pae;case Q.COSH:return cae;case Q.CEIL:return uae;case Q.ELU:return e?dae:mae;case Q.ERF:return fae;case Q.EXP:return hae;case Q.EXPM1:return lae;case Q.FLOOR:return gae;case Q.IS_FINITE:return xae;case Q.IS_INF:return yae;case Q.IS_NAN:return bae;case Q.LINEAR:return Cae;case Q.LOG:return wae;case Q.LOG1P:return Sae;case Q.LOGICAL_NOT:return Iae;case Q.NEG:return vae;case Q.LEAKYRELU:return e?Nae:kae;case Q.RECIPROCAL:return Tae;case Q.RELU:return e?Rae:_ae;case Q.RELU6:return e?Eae:$ae;case Q.ROUND:return Dae;case Q.RSQRT:return Aae;case Q.SELU:return Fae;case Q.SIGMOID:return Pae;case Q.SIGN:return Oae;case Q.SIN:return Mae;case Q.SINH:return Lae;case Q.SOFTPLUS:return Bae;case Q.SQRT:return zae;case Q.SQUARE:return Vae;case Q.STEP:return Wae;case Q.TAN:return Uae;case Q.TANH:return Gae;case Q.TO_INT:return Hae;default:throw new Error(`BinaryType ${r} is not implemented!`)}}function dr(r,e=!1,t=!1,o=3){if(r===null)return\"\";let n=\"\";if(r===\"linear\")n=yi(Q.LINEAR);else if(r===\"relu\")n=yi(Q.RELU,t);else if(r===\"elu\")n=yi(Q.ELU,t);else if(r===\"relu6\")n=yi(Q.RELU6,t);else if(r===\"prelu\")n=Kc(fe.PRELU,t);else if(r===\"sigmoid\")n=yi(Q.SIGMOID,t);else if(r===\"leakyrelu\")n=yi(Q.LEAKYRELU,t);else throw new Error(`Activation ${r} has not been implemented for the WebGPU backend.`);let a=Ae(t?4:1),i=\"\";return e?i=`\n fn activation(a : ${a}, coords : vec${o}) -> ${a} {\n let b = getPreluActivationWeightsByOutputCoords(coords);\n ${n}\n }`:i=`\n fn activation(a : ${a}, coords : vec${o}) -> ${a} {\n ${n}\n }`,i}function jr(r,e){return`\n ${r?\"value = value + getBiasByOutputCoords(coords);\":\"\"}\n ${e?\"value = activation(value, coords);\":\"\"}\n `}function Pv(r,e,t=!1,o=!1,n=!1,s=1){y.assert(r&&s===1||!r,()=>`transposeA ${r} is not compatible with component size ${s}`);let a=`\n ${r?\"value = getA(batch, col, row);\":\"value = getA(batch, row, col);\"}\n\n `,i=e?\"value = getB(batch, col, row);\":\"value = getB(batch, row, col);\";return`\n fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} {\n var value = ${Ae(s)}(0.0);\n let col = colIn * ${s};\n ${t&&n?a:`\n ${r?\"if(row < uniforms.dimAOuter && col < uniforms.dimInner)\":\"if(row < uniforms.aShape[1] && col < uniforms.aShape[2])\"}\n {\n ${a}\n }\n `}\n return value;\n }\n\n fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} {\n let col = colIn * ${s};\n var value = ${Ae(s)}(0.0);\n ${i}\n return value;\n }\n `}function lm(r,e,t,o,n=!1,s=!1,a=!1,i=1){return`\n ${Pv(t,o,n,s,a,i)}\n fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Ae(i)}) {\n let col = colIn * ${i};\n ${n&&s?\"\":\"if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)\"}\n {\n var value = valueIn;\n let coords = vec3(batch, row, col);\n ${jr(r,e)}\n setOutputAtCoords(coords[0], coords[1], coords[2], value);\n }\n }\n `}var Kae=(r,e)=>r?`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n kStart + inputRow,\n globalRowStart / ${e} + inputCol);\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n globalRow + innerRow,\n kStart / ${e} + inputCol);\n `,qae=(r,e,t)=>r?`\n let ACached0 = mm_Asub[k * ${e}][localRow];\n let ACached1 = mm_Asub[k * ${e} + 1][localRow];\n let ACached2 = mm_Asub[k * ${e} + 2][localRow];\n ${e===3?\"\":`let ACached3 = mm_Asub[k * ${e} + 3][localRow];`}\n for (var i = 0; i < ${t}; i++) {\n acc[i] = fma(BCached0, vec4(ACached0[i]), acc[i]);\n acc[i] = fma(BCached1, vec4(ACached1[i]), acc[i]);\n acc[i] = fma(BCached2, vec4(ACached2[i]), acc[i]);\n ${e===3?\"\":\"acc[i] = fma(BCached3, vec4(ACached3[i]), acc[i]);\"}\n }`:`\n for (var i = 0; i < ${t}; i++) {\n let ACached = mm_Asub[tileRow + i][k];\n acc[i] = fma(BCached0, vec4(ACached.x), acc[i]);\n acc[i] = fma(BCached1, vec4(ACached.y), acc[i]);\n acc[i] = fma(BCached2, vec4(ACached.z), acc[i]);\n ${e===3?\"\":\"acc[i] = fma(BCached3, vec4(ACached.w), acc[i]);\"}\n }`;function Tp(r,e,t=!1,o=32,n=!1,s=32,a=!1){let i=e[1]*r[1],p=e[0]*r[0],u=t?i:o,c=t?o:i,l=u/e[0],m=o/e[1],d=r[1];return y.assert((t&&l===4&&r[1]===4||!t&&(l===3||l===4))&&u%e[0]===0&&o%e[1]===0&&r[0]===4,()=>`If transposeA ${t} is true, innerElementSize ${l} and workPerThread[1] ${r[1]} must be 4.\n Otherwise, innerElementSize ${l} must be 3 or 4.\n tileAWidth ${u} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`),`\n var mm_Asub : array, ${u/l}>, ${c}>;\n var mm_Bsub : array, ${p/r[0]}>, ${o}>;\n\n ${K()} {\n let localRow = i32(localId.y);\n let tileRow = localRow * ${d};\n let tileCol = i32(localId.x);\n\n let globalRow = i32(globalId.y) * ${d};\n let globalCol = i32(globalId.x);\n let batch = ${n?\"0\":\"i32(globalId.z)\"};\n let batchA = ${n||!a?\"batch\":\"batch % uniforms.aShape[0]\"};\n let batchB = ${n||!a?\"batch\":\"batch % uniforms.bShape[0]\"};\n let globalRowStart = i32(workgroupId.y) * ${i};\n\n let numTiles = ${n?`${Math.ceil(s/o)}`:`(uniforms.dimInner - 1) / ${o} + 1`};\n var kStart = ${n?`i32(globalId.z) * ${s}`:\"0\"};\n\n var acc: array, ${d}>;\n\n // Loop over shared dimension.\n let tileRowB = localRow * ${m};\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${d}; innerRow++) {\n let inputRow = tileRow + innerRow;\n let inputCol = tileCol;\n ${Kae(t,l)}\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${m}; innerRow++) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB, kStart + inputRow, globalCol);\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < ${o/l}; k++) {\n let BCached0 = mm_Bsub[k * ${l}][tileCol];\n let BCached1 = mm_Bsub[k * ${l} + 1][tileCol];\n let BCached2 = mm_Bsub[k * ${l} + 2][tileCol];\n ${l===3?\"\":`let BCached3 = mm_Bsub[k * ${l} + 3][tileCol];`}\n\n ${qae(t,l,d)}\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < ${d}; innerRow++) {\n mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n }\n }`}var CB=r=>r?`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n kStart + inputRow,\n globalRowStart + inputCol);\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batchA,\n globalRowStart + inputRow,\n kStart + inputCol);\n `,jae=r=>r?\"let ACached = mm_Asub[k][tileRow + innerRow];\":\"let ACached = mm_Asub[tileRow + innerRow][k];\";function _p(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=r[1]*e[1],u=r[0]*e[0],c=t?p:o,l=t?o:p;y.assert(l%e[1]===0&&c%e[0]===0&&o%e[1]===0,()=>`tileAHight ${l} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}, tileInner ${o} must be divisible by workgroupSize[1]${e[1]}`);let m=l/e[1],d=c/e[0],f=o/e[1],h=r[1],g=r[0],x=a?`\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n let globalRowStart = i32(workgroupId.y) * ${p};\n let globalColStart = i32(workgroupId.x) * ${u};\n\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var inputRow = localRow; inputRow < ${l}; inputRow = inputRow + ${e[1]}) {\n for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) {\n ${CB(t)}\n }\n }\n // Load one tile of B into local memory.\n for (var inputRow = localRow; inputRow < ${o}; inputRow = inputRow + ${e[1]}) {\n for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${e[0]}) {\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB,\n kStart + inputRow,\n globalColStart + inputCol);\n }\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array;\n for (var k = 0; k < ${o}; k++) {\n for (var inner = 0; inner < ${g}; inner++) {\n BCached[inner] = mm_Bsub[k][localCol + inner * ${e[0]}];\n }\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n let ACached = ${t?`mm_Asub[k][localRow + innerRow * ${e[1]}];`:`mm_Asub[localRow + innerRow * ${e[1]}][k];`}\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] =\n fma(ACached, BCached[innerCol], acc[innerRow][innerCol]);\n }\n }\n }\n workgroupBarrier();\n }\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n let gRow = globalRowStart + localRow + innerRow * ${e[1]};\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n let gCol = globalColStart + localCol + innerCol * ${e[0]};\n mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n }\n }\n `:`\n let tileRow = i32(localId.y) * ${h};\n let tileCol = i32(localId.x) * ${g};\n\n let globalRow = i32(globalId.y) * ${h};\n let globalCol = i32(globalId.x) * ${g};\n let globalRowStart = i32(workgroupId.y) * ${p};\n\n let tileRowA = i32(localId.y) * ${m};\n let tileColA = i32(localId.x) * ${d};\n let tileRowB = i32(localId.y) * ${f};\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${m}; innerRow++) {\n for (var innerCol = 0; innerCol < ${d}; innerCol++) {\n let inputRow = tileRowA + innerRow;\n let inputCol = tileColA + innerCol;\n ${CB(t)}\n }\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${f}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol + innerCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batchB,\n kStart + inputRow,\n globalCol + innerCol);\n }\n }\n kStart = kStart + ${o};\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array;\n for (var k = 0; k < ${o}; k++) {\n for (var inner = 0; inner < ${g}; inner++) {\n BCached[inner] = mm_Bsub[k][tileCol + inner];\n }\n\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n ${jae(t)}\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] =\n fma(ACached, BCached[innerCol], acc[innerRow][innerCol]);\n }\n }\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n acc[innerRow][innerCol]);\n }\n }\n `;return`\n var mm_Asub : array, ${l}>;\n var mm_Bsub : array, ${o}>;\n\n ${K()} {\n let batch = ${n?\"0\":\"i32(globalId.z)\"};\n let batchA = ${n||!i?\"batch\":\"batch % uniforms.aShape[0]\"};\n let batchB = ${n||!i?\"batch\":\"batch % uniforms.bShape[0]\"};\n let numTiles = ${n?`${Math.ceil(s/o)}`:`(uniforms.dimInner - 1) / ${o} + 1`};\n var kStart = ${n?`i32(globalId.z) * ${s}`:\"0\"};\n\n var acc : array, ${h}>;\n\n // Without this initialization strange values show up in acc.\n for (var innerRow = 0; innerRow < ${h}; innerRow++) {\n for (var innerCol = 0; innerCol < ${g}; innerCol++) {\n acc[innerRow][innerCol] = 0.0;\n }\n }\n ${x}\n }\n `}var Xae=r=>r?`\n mm_readA(batchA, colA, globalRow),\n mm_readA(batchA, colA + 1, globalRow),\n mm_readA(batchA, colA + 2, globalRow),\n mm_readA(batchA, colA + 3, globalRow)\n `:`\n mm_readA(batchA, globalRow, colA),\n mm_readA(batchA, globalRow, colA + 1),\n mm_readA(batchA, globalRow, colA + 2),\n mm_readA(batchA, globalRow, colA + 3)\n `;function Yae(r,e=!1){y.assert(r[1]===1&&r[2]===1,()=>`A linear work group size is required. But got ${r}.`);let t=r[0]*4;return`\n var mm_Asub : array, ${r[0]}>;\n\n ${K()} {\n let tileCol = i32(localId.x);\n let globalCol = i32(globalId.x);\n let globalRow = i32(globalId.y);\n\n let numTiles = (uniforms.dimInner - 1) / ${t} + 1;\n let batch = i32(globalId.z);\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n // Without this initialization strange values show up in acc.\n var acc = 0.0;\n\n // Loop over shared dimension.\n for (var t = 0; t < numTiles; t++) {\n // Load one tile of A into local memory.\n let colA = t * ${t} + tileCol * 4;\n mm_Asub[tileCol] = vec4(${Xae(e)});\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < ${t/4}; k++) {\n let rowB = t * ${t} + k * 4;\n let BCached = vec4(mm_readB(batchB, rowB, globalCol),\n mm_readB(batchB, rowB + 1, globalCol),\n mm_readB(batchB, rowB + 2, globalCol),\n mm_readB(batchB, rowB + 3, globalCol));\n\n let ACached = mm_Asub[k];\n acc = acc + dot(ACached, BCached);\n }\n\n workgroupBarrier();\n }\n\n mm_write(batch, globalRow, globalCol, acc);\n }\n `}var Kg=class{constructor(e,t,o=!1,n=!1,s=null,a=null,i=null,p=!1){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let u=o?e[1]:e[2];if(this.isVec4=(u%4===0&&!o||t[1]%4===0&&o)&&t[2]%4===0&&!n,this.outputComponent=this.isVec4?4:1,this.isVectorA=t[1]===1&&!o,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let m=Av(t[1],u,t[2],o);this.workgroupSize=m.workgroupSize,this.elementsPerThread=m.elementsPerThread}this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let c=s!=null,l=i!=null;c&&this.variableNames.push(\"bias\"),l&&this.variableNames.push(\"preluActivationWeights\"),this.sequentialAccessByThreads=p,this.transposeA=o,this.transposeB=n,this.addBias=c,this.activation=a,this.hasPreluActivationWeights=l,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],u),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${o}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,o){let n=this.workgroupSize[1]*this.elementsPerThread[1],s=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=s;let a=e%n===0,i=t%s===0,p=o%this.tileInner===0;return[a,i,p]}getUserCode(){return`\n ${dr(this.activation,this.hasPreluActivationWeights,this.isVec4)}\n ${lm(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)}\n ${this.isVec4?Tp(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,!0):this.isVectorA?Yae(this.workgroupSize,this.transposeA):_p(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)}\n `}};function Qae(r){return`\n var sumValues : array;\n ${K()} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n let row = coords[1];\n let col = coords[2];\n var sum = 0.0;\n let Length = uniforms.dimInner;\n for (var k = i32(localId.x); k < Length; k = k + ${r}) {\n let dataA = mm_readA(batchA, row, k);\n let dataB = mm_readB(batchB, k, col);\n sum = sum + dataA * dataB;\n }\n sumValues[localId.x] = sum;\n workgroupBarrier();\n\n for(var currentSize = ${r/2}u; currentSize > 1u;\n currentSize = currentSize / 2u) {\n if (localId.x < currentSize)\n {\n sumValues[localId.x] = sumValues[localId.x] + sumValues[localId.x + currentSize];\n }\n workgroupBarrier();\n }\n\n if (localId.x == 0u) {\n sum = sumValues[0] + sumValues[1];\n mm_write(batch, row, col, sum);\n }\n }\n `}var qg=class{constructor(e,t=!1,o=!1,n=null,s=null,a=null){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,p=a!=null;i&&this.variableNames.push(\"bias\"),p&&this.variableNames.push(\"preluActivationWeights\"),this.transposeA=t,this.transposeB=o,this.addBias=i,this.activation=s,this.hasPreluActivationWeights=p,this.shaderKey=`matMulReduce_${this.activation}_${t}_${o}`}getUserCode(){return`\n ${dr(this.activation,this.hasPreluActivationWeights)}\n ${lm(this.addBias,this.activation,this.transposeA,this.transposeB)}\n ${Qae(this.workgroupSize[0])}\n `}};function Zae(r){let e=r[1],t=r[0],o=e>t?e:t;return`\n var mm_Asub : array, ${e}>;\n var mm_Bsub : array, ${o}>;\n\n // If the output size is small for matrix multiplication, avoid to use vec4\n // and handle some elements per thread to optimally utilize the ALU.\n // Read data from global memory to registers firstly, then store them into\n // shared memory, so it is instruction-Level parallelism for arithmetic\n // operations and others handle IO operations between barrier api, makes ALU\n // and load/store units work simultaneously, could improves the performance.\n ${K()} {\n let tileRow = i32(localId.y);\n let tileCol = i32(localId.x);\n let globalRow = i32(globalId.y);\n let globalCol = i32(globalId.x);\n let batch = i32(globalId.z);\n let batchA = batch % uniforms.aShape[0];\n let batchB = batch % uniforms.bShape[0];\n\n // uniforms.dimInner should be greater than 0.\n let numTiles = (uniforms.dimInner - 1) / ${o} + 1;\n var acc = 0.0;\n\n var globalColA = tileCol;\n var globalRowB = 0;\n var regA = mm_readA(batchA, globalRow, globalColA);\n var regB0 = mm_readB(batchB, globalRowB + 2 * tileRow, globalCol);\n var regB1 = mm_readB(batchB, globalRowB + 2 * tileRow + 1, globalCol);\n globalColA = globalColA + ${o};\n globalRowB = globalRowB + ${o};\n\n for (var t = 0; t < numTiles; t = t + 1) {\n mm_Asub[tileRow][tileCol] = regA;\n mm_Bsub[2 * tileRow][tileCol] = regB0;\n mm_Bsub[2 * tileRow + 1][tileCol] = regB1;\n\n workgroupBarrier();\n\n regA = mm_readA(batchA, globalRow, globalColA);\n regB0 = mm_readB(batchB, globalRowB + 2 * tileRow, globalCol);\n regB1 = mm_readB(batchB, globalRowB + 2 * tileRow + 1, globalCol);\n globalColA = globalColA + ${o};\n globalRowB = globalRowB + ${o};\n\n for (var k = 0; k < ${o}; k = k + 1) {\n acc = acc + mm_Asub[tileRow][k] * mm_Bsub[k][tileCol];\n }\n workgroupBarrier();\n }\n\n mm_write(batch, globalRow, globalCol, acc);\n }\n `}var jg=class{constructor(e,t,o,n=!1,s=!1,a=null,i=null,p=null){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[16,8,1],this.outputShape=o,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(o[2]/this.workgroupSize[0]),Math.ceil(o[1]/this.workgroupSize[1]),o[0]];let u=a!=null;u&&this.variableNames.push(\"bias\");let c=p!=null;c&&this.variableNames.push(\"preluActivationWeights\"),this.transposeA=n,this.transposeB=s,this.addBias=u,this.activation=i,this.hasPreluActivationWeights=c,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${s}`}getUserCode(){return`\n ${dr(this.activation,this.hasPreluActivationWeights)}\n ${lm(this.addBias,this.activation,this.transposeA,this.transposeB)}\n ${Zae(this.workgroupSize)}\n `}};var Xg=class{constructor(e,t,o=!1,n=!1){this.variableNames=[\"A\",\"B\"],this.uniforms=\"dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.workgroupSize=[8,8,1],this.atomic=!0,this.splitedDimInner=128,y.assert(e[0]===1,()=>\"MatMulSplitKProgram only supports batch = 1.\"),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]};let s=(o&&this.outputShape[1]%4===0||!o&&t%4===0)&&this.outputShape[2]%4===0;this.elementsPerThread=[4,4,this.splitedDimInner],this.outputComponent=s?4:1,s||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=q(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=o,this.transposeB=n,this.shaderKey=`matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.outputComponent}`}getUserCode(){let e=this.outputComponent;return`\n ${Pv(!1,this.transposeB,!1,!1,!1,e)}\n fn mm_write(batch: i32, row : i32, colIn : i32, value : ${Ae(e)}) {\n let col = colIn * ${e};\n if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) {\n let coords = vec3(batch, row, col);\n let flatIndex = getOutputIndexFromCoords(coords);\n // The problem is that we should initialize output to zero before using.\n // Otherwise, the original value will be added to the result.\n for (var i = 0; i < ${e}; i = i + 1) {\n ${Bs(\"&result[flatIndex + i]\",`${e>1?\"value[i]\":\"value\"}`,\"float32\")}\n }\n }\n }\n ${e===4?Tp(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):_p(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)}\n `}},Yg=class{constructor(e,t=null,o=null,n=null){this.uniforms=\"\",this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=o,this.addBias&&this.variableNames.push(\"bias\"),this.hasPreluActivationWeights&&this.variableNames.push(\"preluActivationWeights\"),this.shaderKey=`biasActivation_${o}`}getUserCode(){return`\n ${dr(this.activation,this.hasPreluActivationWeights)}\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var value = getXByOutputIndex(index);\n ${jr(this.addBias,this.activation)}\n setOutputAtIndex(index, value);\n }\n }\n `}};var Qg=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms=\"value : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"fill\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n setOutputAtIndex(index, uniforms.value);\n }\n }\n `}};function Vt(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s===\"string\"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Qg(o),i=[{type:\"float32\",data:[n]}];return e.runWebGPUProgram(a,[],s,i)}}var wB={kernelName:ea,backendName:\"webgpu\",kernelFunc:Vt};function pe(r){let{inputs:e,attrs:t}=r,{x:o}=e,{shape:n}=t,s=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(n,s),i=y.sizeFromShape(a);return y.assert(s===i,()=>`The new shape (${a}) has ${i} elements and the old shape (${o.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var SB={kernelName:ia,backendName:\"webgpu\",kernelFunc:pe};function $p({a:r,b:e,transposeA:t,transposeB:o,backend:n,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:p=null}){let u=r.shape.length,c=e.shape.length,l=t?r.shape[u-2]:r.shape[u-1],m=o?e.shape[c-1]:e.shape[c-2],d=t?r.shape[u-1]:r.shape[u-2],f=o?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),S=Sr.assertAndGetBroadcastShape(r.shape.slice(0,-2),e.shape.slice(0,-2)).concat([d,f]);y.assert(l===m,()=>`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=pe({inputs:{x:r},backend:n,attrs:{shape:k}}),R=pe({inputs:{x:e},backend:n,attrs:{shape:_}}),D=[E,R],F=Math.max(x,b),O=[E,R],M=[{type:\"int32\",data:[d]},{type:\"int32\",data:[f]},{type:\"int32\",data:[l]}],L,B,z=[F,d,f],U=P().get(\"WEBGPU_MATMUL_PROGRAM_TYPE\");if(U<0){let H=P().getNumber(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\"),X=H>0?H:n.thresholdToIncreaseWorkgroups,J=F*Math.ceil(d/32)*Math.ceil(f/32);J<=X||d<=8&&J<=X*2?F*d*f<=128?U=Oo.MatMulReduceProgram:F===1&&m>=2e3?U=Oo.MatMulSplitKProgram:U=Oo.MatMulSmallOutputSizeProgram:U=Oo.MatMulPackedProgram}switch(U){case Oo.MatMulReduceProgram:L=new qg(z,t,o,s,p,a);break;case Oo.MatMulSplitKProgram:{if(B=Vt({backend:n,attrs:{shape:z,value:0,dtype:r.dtype}}),L=new Xg(z,m,t,o),s||p){B=n.runWebGPUProgram(L,O,r.dtype,M,B);let X=new Yg(B.shape,s,p,a),J=null,re=[B];s&&re.push(s),a&&re.push(a),p===\"leakyrelu\"&&(J=[{type:\"float32\",data:[i]}],X.uniforms+=\" alpha : f32,\");let ne=n.runWebGPUProgram(X,re,B.dtype,J);D.push(B);let ee=pe({inputs:{x:ne},backend:n,attrs:{shape:S}});D.push(ne);for(let oe of D)n.disposeData(oe.dataId);return ee}break}case Oo.MatMulSmallOutputSizeProgram:L=new jg(k,_,z,t,o,s,p,a);break;case Oo.MatMulPackedProgram:let H=n.adapterInfo.isIntel();L=new Kg(k,z,t,o,s,p,a,H);break;default:throw new Error(`Unsupported MatMulProgramType ${U}.`)}s&&O.push(s),a&&O.push(a),p===\"leakyrelu\"&&(M.push({type:\"float32\",data:[i]}),L.uniforms+=\" alpha : f32,\"),B=n.runWebGPUProgram(L,O,r.dtype,M,B);let j=pe({inputs:{x:B},backend:n,attrs:{shape:S}});D.push(B);for(let H of D)n.disposeData(H.dataId);return j}function Jae(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return $p({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var IB={kernelName:bo,backendName:\"webgpu\",kernelFunc:Jae};var mm=class{constructor(e,t,o){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=C.assertAndGetBroadcastShape(t,o),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return`\n fn binaryOpComplex(\n areal : f32, aimag : f32, breal : f32, bimag : f32) -> f32 {\n ${Kc(this.op,!1)}\n }\n\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let areal = getARealByOutputIndex(index);\n let aimag = getAImagByOutputIndex(index);\n let breal = getBRealByOutputIndex(index);\n let bimag = getBImagByOutputIndex(index);\n setOutputAtIndex(index, binaryOpComplex(areal, aimag, breal, bimag));\n }\n }\n `}};var bi=class{constructor(e,t,o){if(this.size=!0,this.variableNames=[\"A\",\"B\"],this.outputShape=C.assertAndGetBroadcastShape(t,o),this.dispatchLayout=Z(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&o.length>1&&t[0]<128,this.useSharedMemoryWithB=o.length<=1&&t.length>1&&o[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB)this.outputComponent=1,this.variableComponents=[1,1],this.lastDimensionSize=this.useSharedMemoryWithB?o[0]:t[0],this.shaderKey=`binary_${e}_${this.lastDimensionSize}`,this.type=\"shared\",this.workgroupSize=[256,1,1];else{let n=t.length>0&&t[t.length-1]%4===0,s=o.length>0&&o[o.length-1]%4===0;n&&s?(this.outputComponent=4,this.variableComponents=[4,4]):n&&(y.isScalarShape(o)||o[o.length-1]===1)||s&&(y.isScalarShape(t)||t[t.length-1]===1)?(this.outputComponent=4,this.variableComponents=n?[4,1]:[1,4]):(this.outputComponent=1,this.variableComponents=[1,1]),this.type=\"nonshared\",this.shaderKey=`binary_${e}_${this.variableComponents}`,this.workgroupSize=[128,1,1]}this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.outputComponent,1,1])}getUserCode(){let e,t=this.outputComponent===4?\"vec4\":\"f32\",o=`\n fn binaryOperation(a : ${t}, b : ${t}) -> ${t} {\n ${Kc(this.op,this.outputComponent===4)}\n };\n `;if(this.type===\"shared\"){let n=this.lastDimensionSize>1?`coords[${this.outputShape.length-1}]`:\"0\",s=this.useSharedMemoryWithB?`let a = getAByOutputIndex(index);\n let b = sharedBuf[${n}];`:`let a = sharedBuf[${n}];\n let b = getBByOutputIndex(index);`;e=`\n ${o}\n var sharedBuf : array;\n ${K(\"index\")} {\n // Fill in the shared memory buffer.\n let localIndex = i32(localId.x);\n if(localIndex < ${this.lastDimensionSize}) {\n sharedBuf[localIndex] = f32(${this.useSharedMemoryWithB?\"B\":\"A\"}[localIndex]);\n }\n workgroupBarrier();\n\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n ${s}\n setOutputAtIndex(index, binaryOperation(a, b));\n }\n }\n `}else e=`\n ${o}\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index * ${this.outputComponent});\n let a = ${t}(getAByOutputCoords(coords));\n let b = ${t}(getBByOutputCoords(coords));\n setOutputAtIndex(index, binaryOperation(a, b));\n }\n }\n `;return e}};function At(r){let{inputs:e}=r,{x:t}=e;return r.backend.incRef(t.dataId),{dataId:t.dataId,shape:t.shape,dtype:t.dtype}}var vB={kernelName:xo,backendName:\"webgpu\",kernelFunc:At};function fo(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,\"complex64\"),a=t.tensorMap.get(s.dataId),i=At({inputs:{x:o},backend:t}),p=At({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var kB={kernelName:Ti,backendName:\"webgpu\",kernelFunc:fo};var Xr=class{constructor(e,t,o=\"\"){this.variableNames=[\"A\"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,o!==\"\"&&(this.uniforms=o),this.shaderKey=`unary_${t}`}getUserCode(){return`\n fn unaryOperation(a : f32) -> f32 {\n ${yi(this.op,!1)}\n }\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let a = getAByOutputIndex(index);\n setOutputAtIndex(index, unaryOperation(a));\n }\n }\n `}};function xe({opType:r,cpuKernelImpl:e,dtype:t}){return({inputs:o,backend:n})=>{let{x:s}=o,a=n,i=t||s.dtype;if(a.shouldExecuteOnCPU([s])&&e!=null){let u=a.tensorMap.get(s.dataId),c=e(u.values,i);return a.makeTensorInfo(s.shape,i,c)}let p=new Xr(s.shape,r);return a.runWebGPUProgram(p,[s],i)}}function et({opType:r,cpuKernelImpl:e,supportsComplex:t=!1,dtype:o}){return({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(t&&a.dtype===\"complex64\"){let l=p.tensorMap.get(a.dataId),m=p.tensorMap.get(i.dataId),d,f;if(r!==fe.MUL)[d,f]=[[l.complexTensorInfos.real,m.complexTensorInfos.real],[l.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(g=>{let[x,b]=g,w={dataId:x.dataId,dtype:x.dtype,shape:a.shape},S={dataId:b.dataId,dtype:b.dtype,shape:i.shape},k=new bi(r,a.shape,i.shape);return p.runWebGPUProgram(k,[w,S],dt(x.dtype,b.dtype))});else{let g=new mm(fe.COMPLEX_MULTIPLY_REAL,a.shape,i.shape),x=new mm(fe.COMPLEX_MULTIPLY_IMAG,a.shape,i.shape),b=[{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:m.complexTensorInfos.real.dataId,dtype:m.complexTensorInfos.real.dtype,shape:i.shape},{dataId:m.complexTensorInfos.imag.dataId,dtype:m.complexTensorInfos.imag.dtype,shape:i.shape}];d=p.runWebGPUProgram(g,b,\"float32\"),f=p.runWebGPUProgram(x,b,\"float32\")}let h=fo({inputs:{real:d,imag:f},backend:p});return p.disposeData(d.dataId),p.disposeData(f.dataId),h}let u=o||dt(a.dtype,i.dtype);if((a.dtype===\"string\"||i.dtype===\"string\"||p.shouldExecuteOnCPU([a,i]))&&e!=null){let l=p.tensorMap.get(a.dataId).values,m=p.tensorMap.get(i.dataId).values,d=a.dtype===\"string\"?C.fromUint8ToStringArray(l):l,f=a.dtype===\"string\"?C.fromUint8ToStringArray(m):m,[h,g]=e(a.shape,i.shape,d,f,u);return p.makeTensorInfo(g,u,h)}let c=new bi(r,a.shape,i.shape);return p.runWebGPUProgram(c,[a,i],u)}}var{addImpl:NB,castImpl:TB,ceilImpl:_B,concatImpl:$B,equalImpl:EB,expImpl:RB,expm1Impl:DB,floorImpl:AB,floorDivImpl:FB,gatherNdImpl:PB,gatherV2Impl:OB,greaterEqualImpl:MB,greaterImpl:LB,lessEqualImpl:BB,lessImpl:zB,logImpl:VB,maxImpl:WB,maximumImpl:UB,minimumImpl:GB,multiplyImpl:HB,negImpl:KB,notEqualImpl:qB,prodImpl:jB,rangeImpl:XB,rsqrtImpl:YB,scatterImpl:QB,simpleAbsImpl:ZB,sliceImpl:JB,stridedSliceImpl:ez,stringNGramsImpl:tz,subImpl:rz,tileImpl:oz,topKImpl:nz,transposeImpl:sz,uniqueImpl:o3t}=Sc;var eie=xe({opType:Q.ABS,cpuKernelImpl:ZB}),az={kernelName:Gs,backendName:\"webgpu\",kernelFunc:eie};var tie=xe({opType:Q.ACOS}),iz={kernelName:zo,backendName:\"webgpu\",kernelFunc:tie};var rie=xe({opType:Q.ACOSH}),uz={kernelName:Vo,backendName:\"webgpu\",kernelFunc:rie};var oie=et({opType:fe.ADD,cpuKernelImpl:NB,supportsComplex:!0}),pz={kernelName:no,backendName:\"webgpu\",kernelFunc:oie};var Zg=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey=\"addN\"}getUserCode(){let e=[];this.variableNames.forEach(n=>{e.push(`let v${n} = get${n}ByOutputCoords(coords);`)});let t=this.variableNames.map(n=>`v${n}`).join(\" + \");return`\n ${K(\"index\")} {\n for (var i = 0; i < ${this.workPerThread}; i = i + 1) {\n let flatIndex = index * ${this.workPerThread} + i;\n if (flatIndex < uniforms.size) {\n let coords = getCoordsFromIndex(flatIndex);\n ${e.join(`\n `)}\n setOutputAtIndex(flatIndex, ${t});\n }\n }\n }\n `}};function nie(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return At({inputs:{x:o[0]},backend:t});let n=o.map(i=>i.dtype).reduce((i,p)=>dt(i,p)),s=o.map(i=>i.shape),a=new Zg(s);return t.runWebGPUProgram(a,o,n)}var cz={kernelName:Wo,backendName:\"webgpu\",kernelFunc:nie};var Jg=class{constructor(e,t){this.variableNames=[\"A\"],this.workgroupSize=[16,16,1];let o=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return`\n var tile : array, ${this.workgroupSize[0]}>;\n ${K()} {\n var x = i32(workgroupId.x) * ${e} + i32(localId.x);\n var y = i32(workgroupId.y) * ${e} + i32(localId.y);\n let width = uniforms.outShape[0];\n let height = uniforms.outShape[1];\n if (x < width && y < height) {\n tile[localId.y][localId.x] = f32(A[y * width + x]);\n }\n workgroupBarrier();\n\n x = i32(workgroupId.y) * ${e} + i32(localId.x);\n y = i32(workgroupId.x) * ${e} + i32(localId.y);\n if (x < height && y < width) {\n setOutputAtIndex((y * height + x), tile[localId.x]\n [localId.y]);\n }\n }\n `}};var ex=class{constructor(e,t){this.variableNames=[\"A\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=new Array(e);for(let o=0;o=32768&&o>=512?this.workgroupSize=[512,1,1]:e.inSize>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,[1,1,1]),this.reduceType=t,this.shaderKey=`reduce_${t}`}getUserCode(){let e=\"\",t=\"0.0\",o=this.workgroupSize[0];this.reduceType===\"min\"||this.reduceType===\"max\"?(e=`\n if (isnan(candidate)) {\n bestValue = uniforms.NAN;\n } else if (!isnan(bestValue) && candidate ${this.reduceType===\"min\"?\"<\":\">\"} bestValue)\n { bestValue = candidate; }`,t=\"f32(x[offset])\"):this.reduceType===\"sum\"||this.reduceType===\"mean\"?e=\" bestValue = bestValue + candidate; \":this.reduceType===\"prod\"?(e=\" bestValue = bestValue * candidate; \",t=\"1.0\"):this.reduceType===\"all\"?(e=\" bestValue = f32(bestValue >= 1.0 && candidate >= 1.0); \",t=\"1.0\"):this.reduceType===\"any\"&&(e=\" bestValue = f32(bestValue >= 1.0 || candidate >= 1.0); \",t=\"0.0\");let n=this.reduceType===\"mean\"?\"setOutputAtIndex(outputIndex, bestValue / f32(uniforms.reduceSize));\":\"setOutputAtIndex(outputIndex, bestValue);\";return`\n fn DIV_CEIL(a : u32, b : u32) -> u32 {\n return ((a - 1u) / b + 1u);\n }\n\n ${`\n var xBestValues : array;\n `}\n fn getOffset(outputIndex : i32) -> i32 {\n let outputCoords = getCoordsFromIndex(outputIndex);\n let offset = ${this.outputShape.length===1?\"outputCoords\":\"outputCoords[0]\"} * uniforms.reduceSize;\n return offset;\n }\n ${K(\"index\")} {\n let outputIndex = index / ${o};\n let offset = getOffset(outputIndex);\n var bestValue = ${t};\n let Length = uniforms.reduceSize;\n let WorkPerThread = DIV_CEIL(u32(Length), ${o}u);\n for (var k = i32(localId.x); k < Length && outputIndex < uniforms.size;\n k = k + ${o}) {\n let candidate = f32(x[offset + k]);\n ${e}\n }\n xBestValues[localId.x] = bestValue;\n workgroupBarrier();\n\n var reduceSize = min(u32(Length), ${o}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (localId.x < currentSize) {\n let candidate = xBestValues[localId.x + interval];\n ${e}\n xBestValues[localId.x] = bestValue;\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (localId.x == 0u && outputIndex < uniforms.size) {\n ${n}\n }\n }\n `}};function Yr(r,e,t,o,n){let s=r.shape.length,a=[],i=y.parseAxisParam(e,r.shape),p=i,u=C.getAxesPermutation(p,s),c=r;u!=null&&(c=rr({inputs:{x:r},attrs:{perm:u},backend:n}),p=C.getInnerMostAxes(p.length,s),a.push(c)),C.assertAxesAreInnerMostDims(o,p,s);let[l,m]=C.computeOutAndReduceShapes(c.shape,p),d=l;t&&(d=C.expandShapeToKeepDim(l,i));let f;if((o===\"max\"||o===\"prod\")&&n.shouldExecuteOnCPU([c])){let h=n.tensorMap.get(c.dataId).values;switch(o){case\"max\":let g=WB(h,y.sizeFromShape(m),d,r.dtype);f=n.makeTensorInfo(d,r.dtype,g);break;case\"prod\":let{outVals:x,outShape:b,outDtype:w}=jB(c.shape,c.dtype,h,p);f=n.makeTensorInfo(b,w,x);break;default:throw new Error(`${o} CPU implementation is not yet supported.`)}}else{let h=y.sizeFromShape(m),x=y.sizeFromShape(c.shape)/h,b={windowSize:h,inSize:h,batchSize:x,outSize:1},w=o===\"mean\"?\"float32\":Za(r.dtype),S=[{type:\"int32\",data:[h]}],k=new tx(b,o,n.device.limits.maxComputeWorkgroupSizeX),_=n.runWebGPUProgram(k,[c],w,S);a.push(_),f=pe({inputs:{x:_},attrs:{shape:d},backend:n})}return a.forEach(h=>n.disposeData(h.dataId)),f}function aie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,\"all\",t)}var mz={kernelName:Uo,backendName:\"webgpu\",kernelFunc:aie};function iie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,\"any\",t)}var dz={kernelName:Go,backendName:\"webgpu\",kernelFunc:iie};var qc=class{constructor(e,t,o){this.workgroupSize=[64,1,1],this.variableNames=[\"x\"],this.uniforms=\"infinityValue : f32,\",this.size=!0;let n=[t];this.op=o===\"min\"?\"<\":\">\";let[s,a]=C.computeOutAndReduceShapes(e,n);this.outputShape=s.length===0?[1]:s,this.dispatchLayout=Z(this.outputShape),y.sizeFromShape(a)<32||y.sizeFromShape(s)>1e3?(this.type=\"plain\",this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type=\"shared\",this.dispatch=q(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?\"uniforms.xShape\":`uniforms.xShape.${Po(this.inputShape.length-1)}`,o=()=>{let n=\"\";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+=\"outputCoords,\");else for(let s=0;s u32 {\n return ((a - 1u) / b + 1u);\n }\n\n ${`\n var xBestIndices : array;\n var xBestValues : array;\n `}\n\n ${K(\"index\")} {\n let outputIndex = index / ${e};\n let reduceLength = ${t()};\n\n var bestIndex = i32(localId.x);\n var bestValue = uniforms.infinityValue;\n let outputCoords = getCoordsFromIndex(outputIndex);\n for (var k = i32(localId.x); k < reduceLength && outputIndex < uniforms.size;\n k = k + ${e}) {\n let candidate = getX(${o()} k);\n if (!isnan(candidate) && candidate ${this.op} bestValue) {\n bestValue = candidate;\n bestIndex = k;\n }\n }\n xBestValues[localId.x] = bestValue;\n xBestIndices[localId.x] = bestIndex;\n workgroupBarrier();\n\n var reduceSize = min(u32(reduceLength), ${e}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (localId.x < currentSize) {\n let candidate = xBestValues[localId.x + interval];\n if (candidate ${this.op} bestValue) {\n bestValue = candidate;\n xBestValues[localId.x] = bestValue;\n xBestIndices[localId.x] = xBestIndices[localId.x + interval];\n }\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (localId.x == 0u && outputIndex < uniforms.size) {\n setOutputAtIndexI32(outputIndex, xBestIndices[localId.x]);\n }\n }\n `:`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let outputCoords = getCoordsFromIndex(index);\n var bestIndex = 0;\n var bestValue = getX(${o()} 0);\n let reduceLength = ${t()};\n for (var i = 1; i < reduceLength; i++) {\n let candidate = getX(${o()} i);\n if (candidate ${this.op} bestValue) {\n bestValue = candidate;\n bestIndex = i;\n }\n }\n setOutputAtIndexI32(index, bestIndex);\n }\n }\n `}};function uie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=rr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims(\"argMax\",[a[0]],p.shape.length);let c=new qc(p.shape,a[0],\"max\"),l=[{type:\"float32\",data:[Number.NEGATIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],\"int32\",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var fz={kernelName:Hs,backendName:\"webgpu\",kernelFunc:uie};function pie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=rr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims(\"argMin\",[a[0]],p.shape.length);let c=new qc(p.shape,a[0],\"min\"),l=[{type:\"float32\",data:[Number.POSITIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],\"int32\",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var hz={kernelName:Ks,backendName:\"webgpu\",kernelFunc:pie};var cie=xe({opType:Q.ASIN}),gz={kernelName:Ho,backendName:\"webgpu\",kernelFunc:cie};var lie=xe({opType:Q.ASINH}),xz={kernelName:Ko,backendName:\"webgpu\",kernelFunc:lie};var mie=xe({opType:Q.ATAN}),yz={kernelName:qo,backendName:\"webgpu\",kernelFunc:mie};var die=et({opType:fe.ATAN2}),bz={kernelName:Xo,backendName:\"webgpu\",kernelFunc:die};var fie=xe({opType:Q.ATANH}),Cz={kernelName:jo,backendName:\"webgpu\",kernelFunc:fie};var rx=class{constructor(e){this.variableNames=[\"x\"],this.uniforms=\"strides : vec2,\",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"poolWithFilterSizeEqualsOne\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n\n let xRCCorner = coords.yz * uniforms.strides;\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n\n let value = getX(batch, xRCorner, xCCorner, d);\n setOutputAtIndex(index, value);\n }\n }\n `}};var Da=class{constructor(e,t,o=!1,n=!1,s=!1){if(this.variableNames=[\"x\"],this.uniforms=\"strides : vec2, pads : vec2, dilations : vec2, convDims : vec2, filterDims : vec2,\",this.workgroupSize=[128,1,1],this.size=!0,t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=o,this.flattenPositions=n,this.includeBatchIndex=s,this.shaderKey=`pool2D_${t}_${o}_${n}_${s}`}getUserCode(){let e;this.poolType===\"avg\"?e=\"resultValue = resultValue + value; count = count + 1.0;\":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound);\n if (value >= currMaxValue) {\n maxValue = value;\n maxValueFound = 1.0;\n maxPosition = ${this.flattenPositions?this.includeBatchIndex?\"((batch * uniforms.xShape[1] + xR) * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d\":\"(xR * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d\":\"wR * uniforms.filterDims.y + wC\"};\n }`:e=\"resultValue = max(value, resultValue);\";let t=\"resultValue\";return this.poolType===\"avg\"&&(t=\"resultValue / max(count, 1.0)\"),`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n let xRCCorner = vec2(coords.yz) * uniforms.strides - uniforms.pads;\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n\n ${this.computePositions?`var maxValue = 0.0;\n var maxValueFound = 0.0;\n var maxPosition = 0;`:`var resultValue = ${this.poolType===\"avg\"?\"0.0\":\"-1.0 / pow(10.0, -20.0)\"};`}\n\n var count = 0.0;\n for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilations.x) {\n let xR = xRCorner + wR;\n\n if (xR < 0 || xR >= uniforms.convDims.x) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilations.y) {\n let xC = xCCorner + wC;\n if (xC < 0 || xC >= uniforms.convDims.y) {\n continue;\n }\n\n let value = getX(batch, xR, xC, d);\n ${e}\n }\n }\n\n ${this.computePositions?\"setOutputAtIndexI32(index, maxPosition);\":`setOutputAtIndex(index, ${t});`}\n }\n }\n `}},wu=class{constructor(e,t,o=!1,n=!1,s=!1){if(this.variableNames=[\"x\"],this.uniforms=\"strides : vec3, pads : vec3, convDims : vec3, filterDims : vec3,\",this.workgroupSize=[128,1,1],this.size=!0,t===\"avg\"&&o)throw new Error(\"Cannot compute positions for average pool.\");this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=o,this.flattenPositions=n,this.includeBatchIndex=s,this.shaderKey=`pool3D_${t}_${o}_${n}_${s}`}getUserCode(){let e;this.poolType===\"avg\"?e=\"resultValue += value; count += 1.0;\":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound);\n if (value >= currMaxValue) {\n maxValue = value;\n maxValueFound = 1.0;\n maxPosition = ${this.flattenPositions?this.includeBatchIndex?\"(((batch * uniforms.xShape.y + xD) * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch\":\"((xD * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch\":\"wD * uniforms.filterDims.y * uniforms.filterDims.y + wR * uniforms.filterDims.z + wC\"};\n }`:e=\"resultValue = max(value, resultValue);\";let t=\"resultValue\";return this.poolType===\"avg\"&&(t=\"resultValue / max(count, 1.0)\"),`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords.x;\n let ch = coords.u;\n\n let xCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads;\n let xDCorner = xCorner.x;\n let xRCorner = xCorner.y;\n let xCCorner = xCorner.z;\n\n ${this.computePositions?`var maxValue = 0.0;\n var maxValueFound = 0.0;\n var maxPosition = 0;`:`var resultValue = ${this.poolType===\"avg\"?\"0.0\":\"-1.0 / pow(10.0, -20.0)\"};`}\n\n var count = 0.0;\n for (var wD = 0; wD < uniforms.filterDims.x; wD++) {\n let xD = xDCorner + wD;\n if (xD < 0 || xD >= uniforms.convDims.x) {\n continue;\n }\n\n for (var wR = 0; wR < uniforms.filterDims.y; wR++) {\n let xR = xRCorner + wR;\n if (xR < 0 || xR >= uniforms.convDims.y) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterDims.z; wC++) {\n let xC = xCCorner + wC;\n if (xC < 0 || xC >= uniforms.convDims.z) {\n continue;\n }\n\n let value = getX(batch, xD, xR, xC, ch);\n ${e}\n }\n }\n }\n\n ${this.computePositions?\"setOutputAtIndexI32(index, maxPosition);\":`setOutputAtIndex(index, ${t});`}\n }\n }\n `}};function Ov(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o;return Yr(n,s,a,\"max\",t)}var wz={kernelName:Ln,backendName:\"webgpu\",kernelFunc:Ov};function Mv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,\"mean\",t)}var Sz={kernelName:Vn,backendName:\"webgpu\",kernelFunc:Mv};function ox(r,e,t,o){if(e.filterWidth===1&&e.filterHeight===1&&y.arraysEqual(e.inShape,e.outShape))return At({inputs:{x:r},backend:o});if(e.filterWidth===e.inWidth&&e.filterHeight===e.inHeight&&e.batchSize===1&&e.padInfo.type===\"VALID\"){let a=r.shape.length,i=pe({inputs:{x:r},backend:o,attrs:{shape:[r.shape[a-3]*r.shape[a-2],r.shape[a-1]]}}),p;t===\"avg\"?p=Mv({inputs:{x:i},backend:o,attrs:{axis:0,keepDims:!1}}):(y.assert(t===\"max\",()=>`Invalid pool type ${t}`),p=Ov({inputs:{x:i},backend:o,attrs:{reductionIndices:0,keepDims:!1}}));let u=pe({inputs:{x:p},backend:o,attrs:{shape:e.outShape}});return o.disposeData(i.dataId),o.disposeData(p.dataId),u}let n,s=[{type:\"int32\",data:[e.strideHeight,e.strideWidth]}];return e.filterHeight===1&&e.filterWidth===1?n=new rx(e):(t===\"avg\"?n=new Da(e,\"avg\"):(y.assert(t===\"max\",()=>`Invalid pool type ${t}`),n=new Da(e,\"max\")),s.push({type:\"int32\",data:[e.padInfo.top,e.padInfo.left]},{type:\"int32\",data:[e.dilationHeight,e.dilationWidth]},{type:\"int32\",data:[e.inHeight,e.inWidth]},{type:\"int32\",data:[e.effectiveFilterHeight,e.effectiveFilterWidth]})),o.runWebGPUProgram(n,[r],r.dtype,s)}function hie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=C.computePool2DInfo(n.shape,s,a,u,i,p);return ox(n,c,\"avg\",t)}var Iz={kernelName:Yo,backendName:\"webgpu\",kernelFunc:hie};function gie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new wu(l,\"avg\"),d=[{type:\"int32\",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:\"int32\",data:[l.padInfo.front,l.padInfo.top,l.padInfo.left]},{type:\"int32\",data:[l.inDepth,l.inHeight,l.inWidth]},{type:\"int32\",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]}];return t.runWebGPUProgram(m,[n],n.dtype,d)}var vz={kernelName:qs,backendName:\"webgpu\",kernelFunc:gie};var nx=class{constructor(e){this.variableNames=[\"dy\"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2,\n outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"avgPool2DBackprop\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n\n let dyRCCorner = vec2(coords.yz) - uniforms.pads;\n let dyRCorner = dyRCCorner.x;\n let dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilations[0]) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilations[1]) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let dyValue = getDy(batch, idyR, idyC, d);\n\n dotProd = dotProd + dyValue * uniforms.avgMultiplier;\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},sx=class{constructor(e){this.variableNames=[\"dy\"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3,\n outDepth : i32, outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"avgPool3DBackprop\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords.x;\n let ch = coords.u;\n\n let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads;\n let dyDCorner = dyCorner.x;\n let dyRCorner = dyCorner.y;\n let dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var wD = 0; wD < uniforms.filterDims[0]; wD++) {\n let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]);\n\n if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) {\n continue;\n }\n let idyD = i32(dyD);\n\n for (var wR = 0; wR < uniforms.filterDims[1]; wR++) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims[2]; wC++) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let dyValue = getDy(batch, idyD, idyR, idyC, ch);\n dotProd += dyValue * uniforms.avgMultiplier;\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function xie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=C.computePool3DInfo(a.shape,i,p,1,u,c),m=new sx(l),d=1/(l.filterDepth*l.filterHeight*l.filterWidth),f=[{type:\"int32\",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:\"int32\",data:[l.effectiveFilterDepth-1-l.padInfo.front,l.effectiveFilterHeight-1-l.padInfo.top,l.effectiveFilterWidth-1-l.padInfo.left]},{type:\"int32\",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]},{type:\"int32\",data:[l.outDepth]},{type:\"int32\",data:[l.outHeight]},{type:\"int32\",data:[l.outWidth]},{type:\"float32\",data:[d]}];return t.runWebGPUProgram(m,[n],a.dtype,f)}var kz={kernelName:Ni,backendName:\"webgpu\",kernelFunc:xie};function yie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;cm([n,s],\"avgPoolGrad\");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=new nx(c),m=1/(c.filterHeight*c.filterWidth),d=[{type:\"int32\",data:[c.strideHeight,c.strideWidth]},{type:\"int32\",data:[c.effectiveFilterHeight-1-c.padInfo.top,c.effectiveFilterWidth-1-c.padInfo.left]},{type:\"int32\",data:[c.dilationHeight,c.dilationWidth]},{type:\"int32\",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]},{type:\"int32\",data:[c.outHeight]},{type:\"int32\",data:[c.outWidth]},{type:\"float32\",data:[m]}];return t.runWebGPUProgram(l,[n],a.dtype,d)}var Nz={kernelName:Gp,backendName:\"webgpu\",kernelFunc:yie};function bie(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return $p({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var Tz={kernelName:Qo,backendName:\"webgpu\",kernelFunc:bie};var ax=class{constructor(e,t){this.variableNames=[\"source\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${Nt(e.length)}, `,this.shaderKey=\"slice\"}getUserCode(){let e=Nt(this.rank),t=Cie(this.rank),o;return this.start.length===1?o=this.outputShape.map((s,a)=>\"sourceLoc = uniforms.start + coords;\"):o=this.outputShape.map((s,a)=>`sourceLoc.${Lv[a]} = uniforms.start.${Po(a)} + coords.${Lv[a]};`),`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n var sourceLoc : ${e};\n let coords = getCoordsFromIndex(index);\n ${o.join(`\n`)}\n setOutputAtIndex(index, getSource(${t}));\n }\n }\n `}},Lv=[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"];function Cie(r){if(r===1)return\"sourceLoc\";if(r<=6)return Lv.slice(0,r).map(e=>`sourceLoc.${e}`).join(\",\");throw Error(`Slicing for rank ${r} is not yet supported`)}function zs(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ct.parseSliceParams(n,s,a);if(ct.assertParamsValid(n,i,p),t.shouldExecuteOnCPU([n])||n.dtype===\"string\"){let l=t.tensorMap.get(n.dataId),m=JB(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}if(y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);let u=new ax(i,p),c=[{type:\"int32\",data:i}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var _z={kernelName:pa,backendName:\"webgpu\",kernelFunc:zs};var wie=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>\"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet\");let i=s.reduce((b,w)=>b*w),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=[],f=pe({inputs:{x:n},backend:t,attrs:{shape:p}}),h=rr({inputs:{x:f},backend:t,attrs:{perm:u}}),g=pe({inputs:{x:h},backend:t,attrs:{shape:c}}),x=zs({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeData(b.dataId)),x},$z={kernelName:js,backendName:\"webgpu\",kernelFunc:wie};var Sie=`\n fn bincount_write(index: i32, value: f32) {\n ${Bs(\"&result[index]\",\"value\",\"float32\")}\n }\n`,Iie=`\n fn bincount_write(index: i32, value: f32) {\n atomicStore(&result[index], bitcast(value));\n }\n`,jc=class{constructor(e,t,o=!1){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"binCountSize : i32,\",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=o,o&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push(\"w\"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return`\n ${this.binaryOutput?Iie:Sie}\n ${K(\"index\")} {\n ${this.rank===1?`if (index < uniforms.xShape) {\n let indexVal = i32(getX(index));\n if (indexVal < uniforms.binCountSize) {\n let value = ${this.binaryOutput?1:this.hasWeights?\"getW(index)\":\"1.\"};\n bincount_write(indexVal, value);\n }\n }`:`let coord = getCoordsFromIndex(index);\n if (coordsInBounds2D(coord, uniforms.xShape)) {\n let indexVal = i32(getX(coord[0], coord[1]));\n if (indexVal < uniforms.binCountSize) {\n let value = ${this.binaryOutput?1:this.hasWeights?\"getW(coord[0], coord[1])\":\"1.\"};\n bincount_write(coord.x * uniforms.binCountSize + indexVal, value);\n }\n }`}\n }\n `}};function vie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=y.sizeFromShape(n.shape),u=y.sizeFromShape(s.shape)>0,c=[a],l=s.dtype,m=Vt({backend:t,attrs:{shape:c,value:0,dtype:l}}),d=new jc([i],u),f=[{type:\"int32\",data:[a]}],h=u?[n,s]:[n];return t.runWebGPUProgram(d,h,l,f,m)}var Ez={kernelName:Zo,backendName:\"webgpu\",kernelFunc:vie};var ix=class{constructor(e){this.outputShape=[],this.variableNames=[\"s0\",\"s1\"],this.uniforms=\"s0Size : i32, s1Size : i32, \",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"broadcastArgs\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n var s0 = 1.0;\n var s1 = 1.0;\n let indexS0 = index - uniforms.size + uniforms.s0Size;\n let indexS1 = index - uniforms.size + uniforms.s1Size;\n if (indexS0 >= 0) {\n s0 = getS0(indexS0);\n }\n if (indexS1 >= 0) {\n s1 = getS1(indexS1);\n }\n\n if (s0 == 1.0) {\n setOutputAtIndex(index, s1);\n } else if (s1 == 1.0) {\n setOutputAtIndex(index, s0);\n } else if (s0 != s1) {\n setOutputAtIndex(index, uniforms.NAN);\n } else {\n setOutputAtIndex(index, s0);\n }\n }\n }\n `}};function kie(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e;if(t.shouldExecuteOnCPU([o,n])){let c=t.tensorMap.get(o.dataId),l=t.tensorMap.get(n.dataId),m=c.values,d=l.values,f=C.assertAndGetBroadcastShape(Array.from(m),Array.from(d));return t.makeTensorInfo([f.length],\"int32\",Int32Array.from(f))}let s=y.sizeFromShape(o.shape),a=y.sizeFromShape(n.shape),i=Math.max(s,a),p=new ix(i),u=[{type:\"int32\",data:[s]},{type:\"int32\",data:[a]}];return t.runWebGPUProgram(p,[o,n],\"int32\",u)}var Rz={kernelName:Xs,backendName:\"webgpu\",kernelFunc:kie};var Bv=et({opType:fe.NOT_EQUAL,dtype:\"bool\",cpuKernelImpl:qB}),Dz={kernelName:qn,backendName:\"webgpu\",kernelFunc:Bv};function Ci(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.tensorMap.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.real},backend:t})}var Az={kernelName:zi,backendName:\"webgpu\",kernelFunc:Ci};function Fz(r,e){let t=new Xr(r.shape,Q.TO_INT),o=e.runWebGPUProgram(t,[r],\"int32\");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function zv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s===\"complex64\"){if(n.dtype===\"complex64\")return At({inputs:{x:n},backend:t});let a=Wr(n.shape),i=zv({inputs:{x:n},backend:t,attrs:{dtype:\"float32\"}}),p=fo({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeData(i.dataId),p}if(n.dtype===\"complex64\"){let a=Ci({inputs:{input:n},backend:t}),i=zv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeData(a.dataId),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=At({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.tensorMap.get(n.dataId).values,[i,p,u]=TB(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s===\"int32\")return Fz(n,t);if(s===\"bool\"){let a=t.makeTensorInfo([],\"bool\",y.getTypedArrayFromDType(\"bool\",1)),p=Bv({inputs:{a:n,b:a},backend:t});return t.disposeData(a.dataId),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var Pz={kernelName:ho,backendName:\"webgpu\",kernelFunc:zv};var Nie=xe({opType:Q.CEIL,cpuKernelImpl:_B}),Oz={kernelName:Jo,backendName:\"webgpu\",kernelFunc:Nie};var ux=class{constructor(e){this.variableNames=[\"A\"],this.uniforms=\"minVal : f32, maxVal : f32,\",this.workPerThread=4,this.workgroupSize=[64,1,1],this.outputComponent=4,this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey=\"clipVec4\"}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let value = getAByOutputIndex(index);\n var clampedValue = clamp(\n value, vec4(uniforms.minVal), vec4(uniforms.maxVal));\n clampedValue = select(clampedValue, value, isnanVec4(value));\n setOutputAtIndex(index, clampedValue);\n }\n }\n `}};var px=class{constructor(e){this.variableNames=[\"A\"],this.uniforms=\"minVal : f32, maxVal : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"clip\"}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let value = getAByOutputIndex(index);\n if (isnan(value)) {\n setOutputAtIndex(index, value);\n return;\n }\n setOutputAtIndex(index, clamp(value, uniforms.minVal, uniforms.maxVal));\n }\n }\n `}};function Tie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i,p=[{type:\"float32\",data:[s]},{type:\"float32\",data:[a]}];return y.sizeFromShape(n.shape)%4===0?i=new ux(n.shape):i=new px(n.shape),t.runWebGPUProgram(i,[n],n.dtype,p)}var Mz={kernelName:go,backendName:\"webgpu\",kernelFunc:Tie};var cx=class{constructor(e){this.outputShape=[],this.variableNames=[\"real\",\"imag\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"complexAbs\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let re = abs(getRealByOutputIndex(index));\n let im = abs(getImagByOutputIndex(index));\n let mx = max(re, im);\n\n // The length function in wgsl may be not underflow-safe on some GPUs.\n // So the safe solution is to ensure underflow-safety in all cases.\n setOutputAtIndex(index, select(mx * length(vec2(1, min(re, im)/mx)), 0.0, mx == 0.0));\n }\n }\n `}};function Lz(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function _ie(r){let{inputs:e,backend:t}=r,{x:o}=e,n=t.tensorMap.get(o.dataId),s=new cx(o.shape),a=[Lz(o,n.complexTensorInfos.real),Lz(o,n.complexTensorInfos.imag)];return t.runWebGPUProgram(s,a,a[0].dtype)}var Bz={kernelName:_i,backendName:\"webgpu\",kernelFunc:_ie};var lx=class{constructor(e){this.uniforms=\"\",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=C.computeOutShape(e,1),this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push(\"if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }\");for(let s=1;sCi({inputs:{input:w},backend:t})),h=r.map(w=>Ep({inputs:{input:w},backend:t})),g=Xc(f,e,t),x=Xc(h,e,t),b=fo({inputs:{real:g,imag:x},backend:t});return f.forEach(w=>t.disposeData(w.dataId)),h.forEach(w=>t.disposeData(w.dataId)),t.disposeData(g.dataId),t.disposeData(x.dataId),b}let n=t.shouldExecuteOnCPU(r);if(o===\"string\"&&(n=!0),n){let f=r.map(k=>{let E=[-1,y.sizeFromShape(k.shape.slice(e))];return pe({inputs:{x:k},backend:t,attrs:{shape:E}})}),h=f.map(k=>({vals:t.readSync(k.dataId),shape:k.shape})),g=C.computeOutShape(f.map(k=>k.shape),1),x=f[0].shape[0]===1,b=$B(h,g,o,x),w=C.computeOutShape(r.map(k=>k.shape),e),S=t.makeTensorInfo(w,o,b);return f.forEach(k=>t.disposeData(k.dataId)),S}let s=t.device.limits.maxStorageBuffersPerShaderStage-1;if(r.length>s){let f=[];for(let g=0;gf.shape),u=new lx(p),c=[],l=new Array(p.length-1);if(l.length>0){l[0]=p[0][1],c.push({type:\"int32\",data:[l[0]]});for(let f=1;ft.disposeData(f.dataId));let d=pe({inputs:{x:m},backend:t,attrs:{shape:i}});return t.disposeData(m.dataId),d}function $ie(r,e,t){let o=C.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>pe({inputs:{x:s},backend:t,attrs:{shape:[y.sizeFromShape(s.shape.slice(0,e)),y.sizeFromShape(s.shape.slice(e))]}})),outShape:o}}function Vv(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?At({inputs:{x:p[0]},backend:t}):Xc(p,s,t)}var Vz={kernelName:Ys,backendName:\"webgpu\",kernelFunc:Vv};function Eie(r,e,t,o,n=!1,s=null,a=!1,i=4,p=4,u=4){let c=D=>{switch(D){case 1:return\"resData = x[xIndex];\";case 3:return\"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);\";case 4:return\"resData = x[xIndex / 4];\";default:throw new Error(`innerElementSize ${D} is not supported.`)}},l=D=>{switch(D){case 1:return\"return W[row * uniforms.wShape[3] + colIn];\";case 4:return\"return W[row * uniforms.wShape[3] / 4 + colIn];\";default:throw new Error(`innerElementSize ${D} is not supported.`)}},m=r?`\n let coord = vec4(batch, xRow, xCol, xCh);\n `:`\n let coord = vec4(batch, xCh, xRow, xCol);\n `,d=r?`\n let coords = vec4(\n batch,\n row / outWidth,\n row % outWidth,\n col);\n `:`\n let coords = vec4(\n batch,\n row,\n col / outWidth,\n col % outWidth);\n `,f=r?\"uniforms.xShape[1]\":\"uniforms.xShape[2]\",h=r?\"uniforms.xShape[2]\":\"uniforms.xShape[3]\",g=r?\"row\":\"col\",x=r?\"col\":\"row\",b=`\n let inChannels = uniforms.wShape[2];\n let outWidth = ${r?\"uniforms.outShape[2]\":\"uniforms.outShape[3]\"};\n let outRow = ${g} / outWidth;\n let outCol = ${g} % outWidth;\n\n let WRow = ${x} / (uniforms.filterDims[1] * inChannels);\n let WCol = ${x} / inChannels % uniforms.filterDims[1];\n let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * WRow - uniforms.pads[0];\n let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * WCol - uniforms.pads[1];\n let xCh = ${x} % inChannels;\n var resData = ${Ae(i)}(0.0);\n // The bounds checking is always needed since we use it to pad zero for\n // the 'same' padding type.\n if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${h}) {\n ${m}\n let xIndex = getIndexFromCoords4D(coord, uniforms.xShape);\n ${c(i)}\n }\n return resData;`,w=r?e&&o?`\n let col = colIn * ${i};\n ${b}`:`\n let col = colIn * ${i};\n if (row < uniforms.dimAOuter && col < uniforms.dimInner) {\n ${b}\n }\n return ${Ae(i)}(0.0);`:o&&t?`\n let col = colIn * ${i};\n ${b}`:`\n let col = colIn * ${i};\n if (row < uniforms.dimInner && col < uniforms.dimBOuter) {\n ${b}\n }\n return ${Ae(i)}(0.0);`,S=`${l(p)}`,k=Ae(u),_=r?Ae(i):Ae(p),E=r?Ae(p):Ae(i);return`\n ${dr(s,a,u===4,4)}\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${_} {\n ${r?w:S}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} {\n ${r?S:w}\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${k}) {\n let col = colIn * ${u};\n if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)\n {\n var value = valueIn;\n let outWidth = ${r?\"uniforms.outShape[2]\":\"uniforms.outShape[3]\"};\n ${d}\n ${jr(n,s)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }`}var mx=class{constructor(e,t,o,n,s=!1,a=null,i=!1,p=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims : vec2, pads : vec2, strides : vec2, dilations : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat===\"channelsLast\",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=im(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=um(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.outputComponent=4,this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableComponents=[1,4]):(this.innerElementSize=4,this.variableComponents=[4,4]),s&&(this.variableNames.push(\"bias\"),this.variableComponents.push(4)),i&&(this.variableNames.push(\"preluActivationWeights\"),this.variableComponents.push(4))):(this.innerElementSize=this.elementsPerThread[0],s&&this.variableNames.push(\"bias\"),i&&this.variableNames.push(\"preluActivationWeights\")),this.sequentialAccessByThreads=p,this.addBias=s,this.activation=a,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=o%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?Tp(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):_p(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return`\n ${Eie(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])}\n ${e}\n `}};var dx=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2,\",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat===\"channelsLast\",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=o,this.hasPreluActivationWeights=n,t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return`\n ${dr(this.activation,this.hasPreluActivationWeights,!1,4)}\n fn readInp(batch : i32, row : i32, col : i32, chan : i32) -> f32{\n let coords = vec4(batch, row, col, chan);\n if (coordsInBounds4D(coords, uniforms.xShape)) {\n return getX(batch, row, col, chan);\n } else {\n return 0.0;\n }\n }\n fn readFilt(row : i32, col : i32, xChannel : i32, outChannel : i32) -> f32{\n let coords = vec4(row, col, xChannel, outChannel);\n if(coordsInBounds4D(coords, uniforms.wShape)) {\n return getW(row, col, xChannel, outChannel);\n } else {\n return 0.0;\n }\n }\n fn writeResult(batch : i32, row : i32, col : i32, chan : i32, valueIn : f32) {\n let coords = ${this.isChannelsLast?\"vec4(batch, row, col, chan);\":\"vec4(batch, chan, row, col);\"}\n if (coordsInBounds4D(coords, uniforms.outShape)) {\n var value = valueIn;\n ${jr(this.addBias,this.activation)}\n setOutputAtCoords(coords.x, coords.y, coords.z, coords.w, value);\n }\n }\n ${K(\"index\")} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let outChannel = ${this.isChannelsLast?\"coords[3];\":\"coords[1];\"}\n let outRow = ${this.isChannelsLast?\"coords[1];\":\"coords[2];\"}\n let outCol = ${this.isChannelsLast?\"coords[2];\":\"coords[3];\"}\n var acc : f32 = 0.0;\n for (var row = 0; row < uniforms.filterDims[0]; row = row + 1) {\n for (var col = 0; col < uniforms.filterDims[1]; col = col + 1) {\n let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * row - uniforms.pads[0];\n let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * col - uniforms.pads[1];\n for (var xChannel = 0; xChannel < ${this.isChannelsLast?\"uniforms.xShape[3];\":\"uniforms.xShape[1];\"} xChannel = xChannel + 1) {\n ${this.isChannelsLast?\"let v = readInp(batch, xRow, xCol, xChannel);\":\"let v = readInp(batch, xChannel, xRow, xCol);\"}\n let f = readFilt(row, col, xChannel, outChannel);\n acc = acc + v * f;\n }\n }\n }\n writeResult(batch, outRow, outCol, outChannel, acc);\n }\n `}};var fx=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=`pads : vec2, strides : vec2, dilations : vec2, outWidth : i32, itemsPerBlockRow : i32,\n inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?\"coords[1]\":\"coords[2]\",n=this.isChannelsLast?\"coords[2]\":\"coords[1]\",s=this.isChannelsLast?\"getX(batch, xRow, xCol, ch)\":\"getX(batch, ch, xRow, xCol)\";return`\n ${K(\"index\")} {\n let coords = getCoordsFromIndex(index);\n if(index < uniforms.size) {\n let batch = coords[0];\n let row = ${o};\n let col = ${n};\n let offsetY = (row / uniforms.outWidth) * uniforms.strides[0] - uniforms.pads[0];\n let xRow = offsetY + uniforms.dilations[0] * (col / uniforms.itemsPerBlockRow);\n var value = 0.0;\n if(xRow < uniforms.xShape[${e}] && xRow >= 0) {\n let offsetX = (row % uniforms.outWidth) * uniforms.strides[1] -\n uniforms.pads[1];\n let xCol = offsetX + uniforms.dilations[1] * ((col %\n uniforms.itemsPerBlockRow) / uniforms.inChannels);\n let ch = col % uniforms.inChannels;\n if(xCol < uniforms.xShape[${t}] && xCol >= 0) {\n value = ${s};\n }\n }\n setOutputAtIndex(index, value);\n }\n }\n `}};function hx(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Rie({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=t.dataFormat===\"channelsLast\",u=!p,c=!1,l=p&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type===\"VALID\",m=[],d,f;if(l){let x=t.inHeight*t.inWidth*t.inChannels;d=pe({inputs:{x:r},backend:o,attrs:{shape:[1,t.batchSize,x]}}),f=pe({inputs:{x:e},backend:o,attrs:{shape:[1,x,t.outChannels]}})}else d=pe({inputs:{x:r},backend:o,attrs:{shape:p?[t.batchSize,t.inHeight*t.inWidth,t.inChannels]:[t.batchSize,t.inChannels,t.inHeight*t.inWidth]}}),f=pe({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});if(m.push(d),m.push(f),s!=null){let x=hx(s.shape,p);x!=null&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:x}}),m.push(s))}if(n!=null){let x=hx(n.shape,p);x!=null&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:x}}),m.push(n))}let h=$p({a:p?d:f,b:p?f:d,transposeA:u,transposeB:c,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),g=pe({inputs:{x:h},backend:o,attrs:{shape:t.outShape}});m.push(h);for(let x of m)o.disposeData(x.dataId);return g}function Die({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,strideWidth:l,strideHeight:m,padInfo:d,outWidth:f,outHeight:h,dilationWidth:g,dilationHeight:x,dataFormat:b}=t,w=b===\"channelsLast\",S=p*u*c,k=h*f,_=w?[t.batchSize,k,S]:[t.batchSize,S,k],E=new fx(_,w),R=[{type:\"int32\",data:[d.top,d.left]},{type:\"int32\",data:[m,l]},{type:\"int32\",data:[x,g]},{type:\"int32\",data:[f]},{type:\"int32\",data:[c*p]},{type:\"int32\",data:[c]}],D=o.runWebGPUProgram(E,[r],r.dtype,R),F=[];F.push(D);let O=pe({inputs:{x:e},backend:o,attrs:{shape:[1,S,-1]}});if(F.push(O),s!=null){let U=hx(s.shape,w);U!=null&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:U}}),F.push(s))}if(n!=null){let U=hx(n.shape,w);U!=null&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:U}}),F.push(n))}let B=$p({a:w?D:O,b:w?O:D,transposeA:!w,transposeB:!1,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),z=pe({inputs:{x:B},backend:o,attrs:{shape:t.outShape}});F.push(B);for(let U of F)o.disposeData(U.dataId);return z}function gx({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=n!=null,u=s!=null,c=t.dataFormat===\"channelsLast\",l=c&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type===\"VALID\",m=P().getBool(\"WEBGPU_USE_NAIVE_CONV2D_DEBUG\");if(!m&&(l||t.filterHeight===1&&t.filterWidth===1&&t.dilationHeight===1&&t.dilationWidth===1&&t.strideHeight===1&&t.strideWidth===1&&(t.padInfo.type===\"SAME\"||t.padInfo.type===\"VALID\")))return Rie({x:r,filter:e,convInfo:t,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});let d=P().getNumber(\"WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL\"),f=d>0?d:o.thresholdToIncreaseWorkgroups,h=t.batchSize*Math.ceil(t.outHeight*t.outWidth/32)*Math.ceil(t.outChannels/32);if(P().getBool(\"WEBGPU_CONV_SEPARATE_IM2COL_SHADER\")||h<=f)return Die({x:r,filter:e,convInfo:t,backend:o,bias:n,preluActivationWeights:s,leakyreluAlpha:a,activation:i});let g,x=[t.padInfo.top,t.padInfo.left],b=[{type:\"int32\",data:[t.filterHeight,t.filterWidth]},{type:\"int32\",data:[...x]},{type:\"int32\",data:[t.strideHeight,t.strideWidth]},{type:\"int32\",data:[t.dilationHeight,t.dilationWidth]}];if(m)g=new dx(t,p,i,u);else{let _=c?t.outHeight*t.outWidth:t.outChannels,E=c?t.outChannels:t.outHeight*t.outWidth,R=t.filterHeight*t.filterWidth*t.inChannels;b.push({type:\"int32\",data:[_]},{type:\"int32\",data:[E]},{type:\"int32\",data:[R]});let D=o.adapterInfo.isIntel();g=new mx(t,_,E,R,p,i,u,D)}let w=[],S=[r,e];p&&(!c&&n.shape.length===1&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:[n.shape[0],1,1]}}),w.push(n)),S.push(n)),u&&(!c&&s.shape.length===1&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:[s.shape[0],1,1]}}),w.push(s)),S.push(s)),i===\"leakyrelu\"&&(b.push({type:\"float32\",data:[a]}),g.uniforms+=\" alpha : f32,\");let k=o.runWebGPUProgram(g,S,r.dtype,b);for(let _ of w)o.disposeData(_.dataId);return k}function Aie(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=t,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l);return gx({x:n,filter:s,convInfo:m,backend:o})}var Wz={kernelName:en,backendName:\"webgpu\",kernelFunc:Aie};var xx=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.uniforms=\"filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4,\",this.workgroupSize=[64,1,1],this.size=!1,this.isVec4=!1,this.workPerThread=1,this.outputShape=e.inShape,this.isChannelsLast=e.dataFormat===\"channelsLast\",this.isVec4=this.isChannelsLast&&e.outChannels%4===0&&e.inChannels%4===0,this.isVec4?(this.workPerThread=2,this.outputComponent=4,this.workgroupSize=[4,4,4],this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1])):(this.size=!0,this.workPerThread=1,this.workgroupSize=[64,1,1],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize)),this.shaderKey=`conv2DDerInput_${this.isChannelsLast}_${this.isVec4}_${this.workPerThread}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?3:1,n=`\n ${K()} {\n let batch = i32(globalId.z) / uniforms.outShape[1];\n let r = i32(globalId.z) % uniforms.outShape[1];\n let c = i32(globalId.y) * ${this.workPerThread};\n let d1 = i32(globalId.x) * 4;\n\n let dyCorner = vec2(r, c) - uniforms.pads;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd: array, ${this.workPerThread}>;\n for (var i = 0; i < ${this.workPerThread}; i++) {\n dotProd[i] = vec4(0.0);\n }\n for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) {\n let dyR = f32(dyCorner.x + wR) / f32(uniforms.strides.x);\n let wRPerm = uniforms.filterDims.x - 1 - wR;\n if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) ||\n fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) {\n let dyC = f32(dyCorner.y + wC) / f32(uniforms.strides.y);\n let dyC2 = f32(dyCorner.y + 1 + wC) / f32(uniforms.strides.y);\n let wCPerm = uniforms.filterDims.y - 1 - wC;\n var bDyCVal = true;\n var bDyCVal2 = true;\n if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) ||\n fract(dyC) > 0.0) {\n bDyCVal = false;\n }\n if (dyC2 < 0.0 || dyC2 >= f32(uniforms.outBackprop[2]) ||\n fract(dyC2) > 0.0) {\n bDyCVal2 = false;\n }\n\n let idyC = i32(dyC);\n let idyC2 = i32(dyC2);\n if (bDyCVal && bDyCVal2) {\n let d2Length = uniforms.outBackprop[3];\n for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = getW(wRPerm, wCPerm, d1, d2);\n let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2);\n let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2);\n let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2);\n var xValue = getDy(batch, idyR, idyC, d2);\n let tmpval = vec4(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[0] = dotProd[0] + tmpval;\n xValue = getDy(batch, idyR, idyC2, d2);\n dotProd[1] = dotProd[1] + vec4(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n }\n } else if (bDyCVal) {\n let d2Length = uniforms.outBackprop[3];\n for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = getW(wRPerm, wCPerm, d1, d2);\n let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2);\n let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2);\n let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2);\n var xValue = getDy(batch, idyR, idyC, d2);\n let tmpval = vec4(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[0] = dotProd[0] + tmpval;\n }\n } else if (bDyCVal2) {\n let d2Length = uniforms.outBackprop[3];\n for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) {\n let wValue0 = getW(wRPerm, wCPerm, d1, d2);\n let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2);\n let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2);\n let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2);\n var xValue = getDy(batch, idyR, idyC2, d2);\n let tmpval = vec4(dot(xValue, wValue0),\n dot(xValue, wValue1),\n dot(xValue, wValue2),\n dot(xValue, wValue3));\n dotProd[1] = dotProd[1] + tmpval;\n }\n }\n }\n }\n\n for (var i = 0; i < ${this.workPerThread}; i = i + 1) {\n let coords = vec4(batch, r, c + i, d1);\n if (coordsInBounds4D(coords, uniforms.outShape)) {\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], dotProd[i]);\n }\n }\n }\n `;return this.isVec4?`\n ${n}\n `:`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d1 = coords[${o}];\n\n let dyCorner = vec2(coords[${e}], coords[${t}]) - uniforms.pads;\n let dyRCorner = dyCorner.x;\n let dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) {\n let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.strides.x);\n let wRPerm = uniforms.filterDims.x - 1 - wR;\n if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || fract(dyR) > 0.0 ||\n wRPerm < 0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) {\n let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.strides.y);\n let wCPerm = uniforms.filterDims.y - 1 - wC;\n if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) ||\n fract(dyC) > 0.0 || wCPerm < 0) {\n continue;\n }\n let idyC = i32(dyC);\n\n for (var d2 = 0; d2 < uniforms.outBackprop[3]; d2 = d2 + 1) {\n let xValue = ${this.isChannelsLast?\"getDy(batch, idyR, idyC, d2)\":\"getDy(batch, d2, idyR, idyC)\"};\n let wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd = dotProd + xValue * wValue;\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},yx=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.uniforms=\"pads : vec2, strides : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat===\"channelsLast\",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let wR = coords[0];\n let wC = coords[1];\n let d1 = coords[2];\n let d2 = coords[3];\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n for (var b = 0; b < uniforms.batchSize; b = b + 1) {\n for (var yR = 0; yR < uniforms.outHeight; yR = yR + 1) {\n let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0];\n if (xR < 0 || xR >= uniforms.inHeight) {\n continue;\n }\n\n for (var yC = 0; yC < uniforms.outWidth; yC = yC + 1) {\n let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1];\n\n if (xC < 0 || xC >= uniforms.inWidth) {\n continue;\n }\n\n if (${this.isChannelsLast}) {\n let dyValue = getDy(b, yR, yC, d2);\n let xValue = getX(b, xR, xC, d1);\n dotProd = dotProd + xValue * dyValue;\n } else {\n let dyValue = getDy(b, d2, yR, yC);\n let xValue = getX(b, d1, xR, xC);\n dotProd = dotProd + xValue * dyValue;\n }\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},bx=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.uniforms=`pads : vec3, strides : vec3, batchSize : i32, outDepth : i32,\n outHeight : i32, outWidth : i32, inDepth : i32, inHeight : i32, inWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"conv3DDerFilter\"}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let wF = coords.x;\n let wR = coords.y;\n let wC = coords.z;\n let d1 = coords.w;\n let d2 = coords.u;\n\n var dotProd = 0.0;\n for (var b = 0; b < uniforms.batchSize; b++) {\n for (var yF = 0; yF < uniforms.outDepth; yF++) {\n let xF = wF + yF * uniforms.strides[0] - uniforms.pads[0];\n if (xF < 0 || xF >= uniforms.inDepth) {\n continue;\n }\n\n for (var yR = 0; yR < uniforms.outHeight; yR++) {\n let xR = wR + yR * uniforms.strides[1] - uniforms.pads[1];\n if (xR < 0 || xR >= uniforms.inHeight) {\n continue;\n }\n\n for (var yC = 0; yC < uniforms.outWidth; yC++) {\n let xC = wC + yC * uniforms.strides[2] - uniforms.pads[2];\n if (xC < 0 || xC >= uniforms.inWidth) {\n continue;\n }\n\n let dyValue = getDy(b, yF, yR, yC, d2);\n let xValue = getX(b, xF, xR, xC, d1);\n dotProd += xValue * dyValue;\n }\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},Cx=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.uniforms=`filterDims : vec3, pads : vec3, strides : vec3,\n outDepth : i32, outHeight : i32, outWidth : i32, outChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"conv3DDerInput\"}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords.x;\n let d1 = coords.u;\n\n let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads;\n let dyFCorner = dyCorner.x;\n let dyRCorner = dyCorner.y;\n let dyCCorner = dyCorner.z;\n\n var dotProd = 0.0;\n for (var wF = 0; wF < uniforms.filterDims[0]; wF++) {\n let dyF = f32(dyFCorner + wF) / f32(uniforms.strides[0]);\n if (dyF < 0.0 || dyF >= f32(uniforms.outDepth) || fract(dyF) > 0.0) {\n continue;\n }\n let idyF = i32(dyF);\n\n let wFPerm = uniforms.filterDims[0] - 1 - wF;\n\n for (var wR = 0; wR < uniforms.filterDims[1]; wR++) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n let wRPerm = uniforms.filterDims[1] - 1 - wR;\n\n for (var wC = 0; wC < uniforms.filterDims[2]; wC++) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let wCPerm = uniforms.filterDims[2] - 1 - wC;\n\n for (var d2 = 0; d2 < uniforms.outChannels; d2++) {\n let xValue = getDy(batch, idyF, idyR, idyC, d2);\n let wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function Fie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new yx(m),f=[{type:\"int32\",data:[m.padInfo.top,m.padInfo.left]},{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.batchSize]},{type:\"int32\",data:[m.outHeight]},{type:\"int32\",data:[m.outWidth]},{type:\"int32\",data:[m.inHeight]},{type:\"int32\",data:[m.inWidth]}];return t.runWebGPUProgram(d,[n,s],n.dtype,f)}var Uz={kernelName:$i,backendName:\"webgpu\",kernelFunc:Fie};function Pie(r=4){let e=s=>{switch(s){case 1:return\"return W[getIndexFromCoords4D(coord, uniforms.wShape)];\";case 4:return`\n let coord1 = vec4(coordX, coordY, col + 1, rowInner);\n let coord2 = vec4(coordX, coordY, col + 2, rowInner);\n let coord3 = vec4(coordX, coordY, col + 3, rowInner);\n let v0 = W[getIndexFromCoords4D(coord, uniforms.wShape)];\n let v1 = W[getIndexFromCoords4D(coord1, uniforms.wShape)];\n let v2 = W[getIndexFromCoords4D(coord2, uniforms.wShape)];\n let v3 = W[getIndexFromCoords4D(coord3, uniforms.wShape)];\n return vec4(v0, v1, v2, v3);\n `;default:throw new Error(`innerElementSize ${s} is not supported.`)}},o=`if (row < uniforms.dimAOuter && col < uniforms.dimInner) {\n ${`\n let outRow = row / uniforms.outShape[2];\n let outCol = row % uniforms.outShape[2];\n\n let WRow = col / (uniforms.filterDims[1] * uniforms.outBackprop[3]);\n let WCol = col / uniforms.outBackprop[3] % uniforms.filterDims[1];\n let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.strides[0]);\n let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.strides[1]);\n if (xR < 0.0 || xR >= f32(uniforms.outBackprop[1]) || fract(xR) > 0.0) {\n return ${Ae(r)}(0.0);\n }\n if (xC < 0.0 || xC >= f32(uniforms.outBackprop[2]) || fract(xC) > 0.0) {\n return ${Ae(r)}(0.0);\n }\n let coord = vec4(\n batch,\n i32(xR),\n i32(xC),\n col % uniforms.outBackprop[3]);\n return x[getIndexFromCoords4D(coord, uniforms.xShape)/${r}];`}\n }\n return ${Ae(r)}(0.0);`;return`\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} {\n let col = colIn * ${r};\n ${o}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} {\n let col = colIn * ${r};\n let coordX = uniforms.filterDims.x - 1 -\n row / (uniforms.filterDims[1] * uniforms.outBackprop[3]);\n let coordY = uniforms.filterDims.y - 1 -\n (row / uniforms.outBackprop[3]) % uniforms.filterDims[1];\n if (row < uniforms.dimInner && col < uniforms.dimBOuter &&\n coordX >= 0 && coordY >= 0) {\n let rowInner = row % uniforms.outBackprop[3];\n let coord = vec4(coordX, coordY, col, rowInner);\n ${e(r)}\n }\n return ${Ae(r)}(0.0);\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${Ae(r)}) {\n let col = colIn * ${r};\n if (row < uniforms.dimAOuter && (col + ${r-1}) < uniforms.dimBOuter) {\n var value = valueInput;\n let outCoord = vec4(\n batch,\n row / uniforms.outShape[2],\n row % uniforms.outShape[2],\n col);\n result[getIndexFromCoords4D(outCoord, uniforms.outShape)/${r}] = value;\n }\n }`}var wx=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,\",this.outputShape=e.inShape,y.assert(e.dataFormat===\"channelsLast\",()=>\"TODO: NCHW is unimplemented\"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=im(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=um(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.outputComponent=4,this.variableComponents=[4,1]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?Tp(this.elementsPerThread,this.workgroupSize):_p(this.elementsPerThread,this.workgroupSize);return`\n ${Pie(this.isVec4?4:1)}\n ${e}\n `}};function Oie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(u),m=C.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=[{type:\"int32\",data:[m.filterHeight,m.filterWidth]},{type:\"int32\",data:[m.filterHeight-1-m.padInfo.top,m.filterWidth-1-m.padInfo.left]},{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.batchSize,m.outHeight,m.outWidth,m.outChannels]}],f;if(P().getBool(\"WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE\")||m.dataFormat!==\"channelsLast\")f=new xx(m);else{f=new wx(m);let h=m.inHeight*m.inWidth,g=m.inChannels,x=m.filterHeight*m.filterWidth*m.outChannels;d.push({type:\"uint32\",data:[h]},{type:\"uint32\",data:[g]},{type:\"uint32\",data:[x]})}return t.runWebGPUProgram(f,[n,s],\"float32\",d)}var Gz={kernelName:tn,backendName:\"webgpu\",kernelFunc:Oie};var Sx=class{constructor(e){this.variableNames=[\"x\",\"W\"],this.uniforms=\"filterDims: vec3, pads: vec3, strides: vec3, dilations: vec3,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"conv3dnaive\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let batch = coords.x;\n let d2 = coords.u;\n\n let xFRCCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads;\n let xFCorner = xFRCCorner.x;\n let xRCorner = xFRCCorner.y;\n let xCCorner = xFRCCorner.z;\n\n let inputDepthNearestVec4 = (uniforms.xShape.u / 4) * 4;\n let inputDepthVec4Remainder = uniforms.xShape.u % 4;\n\n var dotProd = 0.0;\n for (var wF = 0; wF < uniforms.filterDims[0]; wF++) {\n let xF = xFCorner + wF * uniforms.dilations[0];\n if (xF < 0 || xF >= uniforms.xShape.y) {\n continue;\n }\n\n for (var wR = 0; wR < uniforms.filterDims[1]; wR++) {\n let xR = xRCorner + wR * uniforms.dilations[1];\n if (xR < 0 || xR >= uniforms.xShape.z) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterDims[2]; wC++) {\n let xC = xCCorner + wC * uniforms.dilations[2];\n if (xC < 0 || xC >= uniforms.xShape.w) {\n continue;\n }\n\n for (var d1 = 0; d1 < inputDepthNearestVec4; d1 += 4) {\n let xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n let wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (inputDepthVec4Remainder == 1) {\n dotProd += getX(batch, xF, xR, xC, inputDepthNearestVec4) *\n getW(wF, wR, wC, inputDepthNearestVec4, d2);\n } else if (inputDepthVec4Remainder == 2) {\n let xValues = vec2(\n getX(batch, xF, xR, xC, inputDepthNearestVec4),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1)\n );\n let wValues = vec2(\n getW(wF, wR, wC, inputDepthNearestVec4, d2),\n getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (inputDepthVec4Remainder == 3) {\n let xValues = vec3(\n getX(batch, xF, xR, xC, inputDepthNearestVec4),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2)\n );\n let wValues = vec3(\n getW(wF, wR, wC, inputDepthNearestVec4, d2),\n getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2),\n getW(wF, wR, wC, inputDepthNearestVec4 + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }`}};function Mie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeConv3DInfo(n.shape,s.shape,a,p,i),c=[u.padInfo.front,u.padInfo.top,u.padInfo.left],l=[{type:\"int32\",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:\"int32\",data:[...c]},{type:\"int32\",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:\"int32\",data:[u.dilationDepth,u.dilationHeight,u.dilationWidth]}],m=new Sx(u),d=dt(n.dtype,s.dtype);return t.runWebGPUProgram(m,[n,s],d,l)}var Hz={kernelName:rn,backendName:\"webgpu\",kernelFunc:Mie};function Lie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=C.computeConv3DInfo(n.shape,p,a,1,i),c=new bx(u),l=[{type:\"int32\",data:[u.padInfo.front,u.padInfo.top,u.padInfo.left]},{type:\"int32\",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:\"int32\",data:[u.batchSize]},{type:\"int32\",data:[u.outDepth]},{type:\"int32\",data:[u.outHeight]},{type:\"int32\",data:[u.outWidth]},{type:\"int32\",data:[u.inDepth]},{type:\"int32\",data:[u.inHeight]},{type:\"int32\",data:[u.inWidth]}];return t.runWebGPUProgram(c,[n,s],s.dtype,l)}var Kz={kernelName:za,backendName:\"webgpu\",kernelFunc:Lie};function Bie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,pad:i,inputShape:p}=o,u=C.computeConv3DInfo(p,s.shape,a,1,i),c=new Cx(u),l=[{type:\"int32\",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:\"int32\",data:[u.filterDepth-1-u.padInfo.front,u.filterHeight-1-u.padInfo.top,u.filterWidth-1-u.padInfo.left]},{type:\"int32\",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:\"int32\",data:[u.outDepth]},{type:\"int32\",data:[u.outHeight]},{type:\"int32\",data:[u.outWidth]},{type:\"int32\",data:[u.outChannels]}];return t.runWebGPUProgram(c,[n,s],n.dtype,l)}var qz={kernelName:on,backendName:\"webgpu\",kernelFunc:Bie};var zie=xe({opType:Q.COS}),jz={kernelName:nn,backendName:\"webgpu\",kernelFunc:zie};var Vie=xe({opType:Q.COSH}),Xz={kernelName:sn,backendName:\"webgpu\",kernelFunc:Vie};var Ix=class{constructor(e,t,o,n){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.uniforms=\"extrapolationValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0;let[s]=t;this.outputShape=[s,o[0],o[1],e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n===\"bilinear\"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=[\"f32(uniforms.imageShape[1] - 1)\",\"f32(uniforms.imageShape[2] - 1)\"],[o,n,s]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,\"(y2-y1) * height_ratio\",`y1*${e} + f32(y)*(height_scale)`]:[\"0.0\",\"0.0\",`0.5 * (y1+y2) * ${e}`],[a,i,p]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,\"(x2-x1) * width_ratio\",`x1*${t} + f32(x)*(width_scale)`]:[\"0.0\",\"0.0\",`0.5 * (x1+x2) * ${t}`];return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let height_ratio = f32(${o});\n let width_ratio = f32(${a});\n let b = coords[0];\n let y = coords[1];\n let x = coords[2];\n let d = coords[3];\n // get box vals\n let y1 = getBoxes(b, 0);\n let x1 = getBoxes(b, 1);\n let y2 = getBoxes(b, 2);\n let x2 = getBoxes(b, 3);\n // get image in batch index\n let bInd = i32(round(getBoxInd(b)));\n if(bInd < 0 || bInd >= uniforms.outShape[0]) {\n return;\n }\n let height_scale = ${n};\n let width_scale = ${i};\n let in_y = ${s};\n if( in_y < 0.0 || in_y > ${e} ) {\n setOutputAtIndex(index, uniforms.extrapolationValue);\n return;\n }\n let in_x = ${p};\n if( in_x < 0.0 || in_x > ${t} ) {\n setOutputAtIndex(index, uniforms.extrapolationValue);\n return;\n }\n let sourceFracIndexCR = vec2(in_x,in_y);\n if(${this.methodId} == 1) {\n // Compute the four integer indices.\n let sourceFloorCR = vec2(sourceFracIndexCR);\n let sourceCeilCR = vec2(ceil(sourceFracIndexCR));\n let topLeft = getImage(bInd, sourceFloorCR.y, sourceFloorCR.x, d);\n let bottomLeft = getImage(bInd, sourceCeilCR.y, sourceFloorCR.x, d);\n let topRight = getImage(bInd, sourceFloorCR.y, sourceCeilCR.x, d);\n let bottomRight = getImage(bInd, sourceCeilCR.y, sourceCeilCR.x, d);\n let fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n let top = topLeft + (topRight - topLeft) * fracCR.x;\n let bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n let newValue = top + (bottom - top) * fracCR.y;\n setOutputAtIndex(index, newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n let sourceNearestCR = vec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n let newValue = getImage(\n bInd, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutputAtIndex(index, newValue);\n }\n }\n }\n `}};var Wie=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new Ix(n.shape[3],s.shape,i,p),l=[{type:\"float32\",data:[u]}];return t.runWebGPUProgram(c,[n,s,a],\"float32\",l)},Yz={kernelName:pn,backendName:\"webgpu\",kernelFunc:Wie};var Rp;(function(r){r.Prod=\"*\",r.Sum=\"+\"})(Rp||(Rp={}));var dm=class{constructor(e,t,o,n){this.variableNames=[\"x\"],this.uniforms=\"index : f32,\",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=o,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===Rp.Prod?\"1.0\":\"0.0\",o=this.exclusive?t:`getX(${Qz(e,\"coords\",this.op)})`,n=this.outputShape[this.outputShape.length-1],s=\"\",a=\"\";return this.exclusive?(s=this.reverse?`end != ${n-1}`:\"end != 0\",a=this.reverse?\"end + 1\":\"end - 1\"):(s=this.reverse?`end + pow2 < ${n}`:\"end >= pow2\",a=this.reverse?\"end + pow2\":\"end - pow2\"),`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n var coords = getCoordsFromIndex(index);\n\n let end = ${Zz(e,\"coords\",this.op)};\n var val = ${o};\n let pow2 = i32(pow(2.0, uniforms.index));\n if (${s}) {\n let idx = ${a};\n ${Zz(e,\"coords\",this.op)} = idx;\n val ${this.op}= getX(${Qz(e,\"coords\",this.op)});\n }\n setOutputAtIndex(index, val);\n }\n }\n `}};function Qz(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Zz(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function vx(r,e,t,o,n,s){let a=e.shape.length,i=C.getAxesPermutation([o],a),p=e;i!=null&&(p=rr({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=C.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=At({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new dm(r,p.shape,!1,s),f=l,h=[{type:\"float32\",data:[m]}];l=t.runWebGPUProgram(d,[l],l.dtype,h),t.disposeData(f.dataId)}if(n){let m=new dm(r,p.shape,n,s),d=l,f=[{type:\"float32\",data:[0]}];l=t.runWebGPUProgram(m,[l],l.dtype,f),t.disposeData(d.dataId)}if(i!=null){let m=C.getUndoAxesPermutation(i),d=rr({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeData(l.dataId),t.disposeData(p.dataId),d}return l}function Uie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return vx(Rp.Prod,n,t,s,a,i)}var Jz={kernelName:an,backendName:\"webgpu\",kernelFunc:Uie};function Gie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return vx(Rp.Sum,n,t,s,a,i)}var eV={kernelName:un,backendName:\"webgpu\",kernelFunc:Gie};function Hie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o,p=n.shape.length===1,c=y.sizeFromShape(s.shape)>0,l=s.dtype,m=p?[n.shape[0]]:[n.shape[0],n.shape[1]],d=p?[a]:[n.shape[0],a],f=Vt({backend:t,attrs:{shape:d,value:0,dtype:l}}),h=new jc(m,c,i),g=[{type:\"int32\",data:[a]}],x=c?[n,s]:[n];return t.runWebGPUProgram(h,x,l,g,f)}var tV={kernelName:Qs,backendName:\"webgpu\",kernelFunc:Hie};var kx=class{constructor(e,t){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms=\"blockSize : i32,\",this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let h = ${this.getHeightCoordString()};\n let w = ${this.getWidthCoordString()};\n let d = ${this.getDepthCoordString()};\n\n let in_h = h / uniforms.blockSize;\n let offset_h = h % uniforms.blockSize;\n let in_w = w / uniforms.blockSize;\n let offset_w = w % uniforms.blockSize;\n let offset_d = (offset_h * uniforms.blockSize + offset_w) *\n ${this.getOutputDepthSize()};\n let in_d = d + offset_d;\n\n let rlt = ${this.getInputSamplingString()};\n setOutputAtIndex(index, rlt);\n }\n }`}getHeightCoordString(){return this.dataFormat===\"NHWC\"?\"coords[1]\":\"coords[2]\"}getWidthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[2]\":\"coords[3]\"}getDepthCoordString(){return this.dataFormat===\"NHWC\"?\"coords[3]\":\"coords[1]\"}getOutputDepthSize(){return this.dataFormat===\"NHWC\"?\"uniforms.outShape[3]\":\"uniforms.outShape[1]\"}getInputSamplingString(){return this.dataFormat===\"NHWC\"?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"}};function Kie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a===\"NHWC\"?n.shape[1]:n.shape[2],u=a===\"NHWC\"?n.shape[2]:n.shape[3],c=a===\"NHWC\"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a===\"NHWC\"?[i,l,m,d]:[i,d,l,m],h=[{type:\"int32\",data:[s]}],g=new kx(f,a);return t.runWebGPUProgram(g,[n],n.dtype,h)}var rV={kernelName:cn,backendName:\"webgpu\",kernelFunc:Kie};var Nx=class{constructor(e,t,o,n=!1,s=null,a=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=\"pads : vec2, inDims : vec2,\",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push(\"bias\"),a&&this.variableNames.push(\"preluActivationWeights\"),this.addBias=n,this.activation=s,this.hasPreluActivation=a,this.filterHeight=t,this.filterWidth=o,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],o=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return`\n ${dr(this.activation,this.hasPreluActivation,!1,4)}\n\n var mm_Asub : array, ${o}>;\n var mm_Bsub : array, ${this.filterHeight}>;\n fn readX(batch : i32, channel : i32, row : i32, col : i32) -> f32 {\n var value = 0.0;\n if (row >=0 && row < uniforms.inDims[0] && col >=0 && col < uniforms.inDims[1])\n {\n value = getX(batch, channel, row, col);\n }\n return value;\n }\n\n ${K()} {\n let coords = getOutputCoords();\n let batch = coords[0];\n let xRCCorner = vec2(coords.zw) - uniforms.pads;\n let channelMul = uniforms.wShape[3];\n let d1 = coords[1] / channelMul;\n let q = coords[1] % channelMul;\n\n let inputRowStart = xRCCorner.x;\n let inputColStart = xRCCorner.y;\n\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n\n // Load one tile of X into local memory.\n for (var inputRow = localRow; inputRow < ${o}; inputRow = inputRow + ${this.workgroupSize[1]}) {\n for (var inputCol = localCol; inputCol < ${n}; inputCol = inputCol + ${this.workgroupSize[0]}) {\n let rowOffset = inputRow - localRow;\n let colOffset = inputCol - localCol;\n mm_Asub[inputRow][inputCol] = readX(batch, d1, inputRowStart + rowOffset, inputColStart + colOffset);\n }\n }\n\n // Load one tile of W into local memory.\n var wIndex = i32(localIndex);\n ${e, inDims : vec2,\",this.workgroupSize=[4,4,4],this.workPerThread=4,this.outputComponent=4,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),y.assert(e.dataFormat===\"channelsLast\",()=>\"TODO: NCHW is unimplemented\"),t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,o=this.convInfo.strideWidth;return`\n ${dr(this.activation,this.hasPreluActivation,!0,4)}\n fn readX(batch : i32, row : i32, col : i32, channel : i32) -> vec4 {\n var value = vec4(0.0);\n if (col >=0 && col < uniforms.inDims[1]) {\n value = getX(batch, row, col, channel);\n }\n return value;\n }\n\n ${K()} {\n let batch = i32(globalId.z) / uniforms.outShape[1];\n let r = i32(globalId.z) % uniforms.outShape[1];\n let c = i32(globalId.y) * ${this.workPerThread};\n let d1 = i32(globalId.x) * 4;\n let xRCCorner = vec2(r, c) * vec2(${t}, ${o}) - uniforms.pads;\n\n let xRCorner = xRCCorner.x;\n let xCCorner = xRCCorner.y;\n var xVals : array, ${e}>;\n var dotProd : array, ${this.workPerThread}>;\n for (var i = 0; i < ${this.workPerThread}; i++) {\n dotProd[i] = vec4(0.0);\n }\n\n // Use constant instead of uniform can give better performance.\n for (var wR = 0; wR < ${this.convInfo.filterHeight}; wR = wR + 1) {\n let xR = xRCorner + wR;\n if (xR >=0 && xR < uniforms.inDims[0]) {\n for (var i = 0; i < ${e}; i++) {\n xVals[i] = readX(batch, xR, xCCorner + i, d1);\n }\n for (var wC = 0; wC < ${this.convInfo.filterWidth}; wC = wC + 1) {\n let wValue = getW(wR, wC, d1, 0);\n for (var i = 0; i < ${this.workPerThread}; i++) {\n dotProd[i] = fma(xVals[i * ${o} + wC], wValue, dotProd[i]);\n }\n }\n }\n }\n\n for (var i = 0; i < ${this.workPerThread}; i = i + 1) {\n let coords = vec4(batch, r, c + i, d1);\n if (coordsInBounds4D(coords, uniforms.outShape)) {\n var value = dotProd[i];\n ${jr(this.addBias,this.activation)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }\n }\n `}};var Qc=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=[\"x\",\"W\"],this.uniforms=`pads : vec2, inDims : vec2, filterHeight : i32,\n filterWidth : i32, strides : vec2, dilations : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat===\"channelsLast\",t&&this.variableNames.push(\"bias\"),n&&this.variableNames.push(\"preluActivationWeights\"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?\"getX(batch, xR, xC, d1);\":\"getX(batch, d1, xR, xC);\";return`\n ${dr(this.activation,this.hasPreluActivation,!1,4)}\n\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let batch = coords[0];\n let xRCCorner = vec2(coords.${this.isChannelsLast?\"yz\":\"zw\"}) * uniforms.strides - uniforms.pads;\n let d2 = coords[${this.isChannelsLast?3:1}];\n let channelMul = uniforms.wShape[3];\n let d1 = d2 / channelMul;\n let q = d2 % channelMul;\n\n let inputRowStart = xRCCorner.x;\n let inputColStart = xRCCorner.y;\n let inputRowEnd = inputRowStart + uniforms.filterHeight *\n uniforms.dilations[0];\n let inputColEnd = inputColStart + uniforms.filterWidth *\n uniforms.dilations[1];\n\n // Convolve x(?, ?, d1)|x(d1, ?, ?) with w(:, :, d1, q) to get\n // y(yR, yC, d2)|y(d2, yR, yC). ? = to be determined. : = across all\n // values in that axis. x(?, ?, d1) and y(yR, yC, d2) is for NHWC.\n // x(d1, ?, ?) and y(d2, yR, yC) is for NCHW.\n var value = 0.0;\n\n // Extract if checking out of for loop for performance.\n if (inputRowStart >= 0 && inputColStart >= 0 &&\n inputRowEnd < uniforms.inDims[0] &&\n inputColEnd < uniforms.inDims[1]) {\n for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) {\n let xR = inputRowStart + wR * uniforms.dilations[0];\n\n for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) {\n let xC = inputColStart + wC * uniforms.dilations[1];\n\n let xVal = ${e};\n let wVal = getW(wR, wC, d1, q);\n value = value + xVal * wVal;\n }\n }\n } else {\n for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) {\n let xR = inputRowStart + wR * uniforms.dilations[0];\n\n if (xR < 0 || xR >= uniforms.inDims[0]) {\n continue;\n }\n\n for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) {\n let xC = inputColStart + wC * uniforms.dilations[1];\n\n if (xC < 0 || xC >= uniforms.inDims[1]) {\n continue;\n }\n\n let xVal = ${e};\n let wVal = getW(wR, wC, d1, q);\n value = value + xVal * wVal;\n }\n }\n }\n ${jr(this.addBias,this.activation)}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }\n `}};function qie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(p),m=u;m==null&&(m=[1,1]);let d=C.computeConv2DInfo(n.shape,s.shape,a,m,i,c,!0,l),f=[{type:\"int32\",data:[d.padInfo.top,d.padInfo.left]},{type:\"int32\",data:[d.inHeight,d.inWidth]}],h=d.dataFormat===\"channelsLast\",g;return!h&&d.inHeight>16&&d.inWidth>16&&d.strideHeight===1&&d.strideWidth===1&&d.dilationWidth===1&&d.dilationHeight===1&&d.inChannels===d.outChannels?g=new Nx(d.outShape,d.filterHeight,d.filterWidth):h&&d.outHeight>4&&d.outWidth>4&&d.strideWidth<=2&&d.inChannels===d.outChannels&&d.dilationHeight===1&&d.dilationWidth===1&&d.inChannels%4===0?g=new Yc(d):(g=new Qc(d),f.push({type:\"int32\",data:[d.filterHeight]},{type:\"int32\",data:[d.filterWidth]},{type:\"int32\",data:[d.strideHeight,d.strideWidth]},{type:\"int32\",data:[d.dilationHeight,d.dilationWidth]})),t.runWebGPUProgram(g,[n,s],n.dtype,f)}var oV={kernelName:ln,backendName:\"webgpu\",kernelFunc:qie};var Tx=class{constructor(e){this.variableNames=[\"x\",\"dy\"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2, outHeight : i32,\n outWidth : i32, inHeight : i32, inWidth : i32, batchSize : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"depthwise_conv2d_backprop_filter\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let wR = coords[0];\n let wC = coords[1];\n let d1 = coords[2];\n let dm = coords[3];\n let d2 = d1 * uniforms.channelMul + dm;\n\n var dotProd = 0.0;\n for (var b = 0; b < uniforms.batchSize; b++) {\n for (var yR = 0; yR < uniforms.outHeight; yR++) {\n let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0];\n\n if (xR < 0 || xR >= uniforms.inHeight) {\n continue;\n }\n\n for (var yC = 0; yC < uniforms.outWidth; yC++) {\n let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1];\n\n if (xC < 0 || xC >= uniforms.inWidth) {\n continue;\n }\n\n let dyValue = getDy(b, yR, yC, d2);\n let xValue = getX(b, xR, xC, d1);\n dotProd += xValue * dyValue;\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},_x=class{constructor(e){this.variableNames=[\"dy\",\"W\"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2,\n outHeight : i32, outWidth : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"depthwise_conv2d_backprop_input\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d1 = coords[3];\n let dyCorner = coords.yz - uniforms.pads;\n let dyRCorner = dyCorner.x;\n let dyCCorner = dyCorner.y;\n\n var dotProd = 0.0;\n for (var wR = 0; wR < uniforms.filterDims[0]; wR++) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n\n let idyR = i32(dyR);\n let wRPerm = uniforms.filterDims[0] - 1 - wR;\n\n for (var wC = 0; wC < uniforms.filterDims[1]; wC++) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n\n let idyC = i32(dyC);\n let wCPerm = uniforms.filterDims[1] - 1 - wC;\n\n for (var dm = 0; dm < uniforms.channelMul; dm++) {\n let d2 = d1 * uniforms.channelMul + dm;\n let xValue = getDy(batch, idyR, idyC, d2);\n let wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function jie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=C.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new Tx(l),d=[{type:\"int32\",data:[l.strideHeight,l.strideWidth]},{type:\"int32\",data:[l.padInfo.top,l.padInfo.left]},{type:\"int32\",data:[l.filterHeight,l.filterWidth]},{type:\"int32\",data:[l.outHeight]},{type:\"int32\",data:[l.outWidth]},{type:\"int32\",data:[l.inHeight]},{type:\"int32\",data:[l.inWidth]},{type:\"int32\",data:[l.batchSize]},{type:\"int32\",data:[l.outChannels/l.inChannels]}];return t.runWebGPUProgram(m,[n,s],\"float32\",d)}var nV={kernelName:Ei,backendName:\"webgpu\",kernelFunc:jie};function Xie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=C.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new _x(l),d=[{type:\"int32\",data:[l.strideHeight,l.strideWidth]},{type:\"int32\",data:[l.filterHeight-1-l.padInfo.top,l.filterWidth-1-l.padInfo.left]},{type:\"int32\",data:[l.filterHeight,l.filterWidth]},{type:\"int32\",data:[l.outHeight]},{type:\"int32\",data:[l.outWidth]},{type:\"int32\",data:[l.outChannels/l.inChannels]}];return t.runWebGPUProgram(m,[n,s],n.dtype,d)}var sV={kernelName:Ri,backendName:\"webgpu\",kernelFunc:Xie};var $x=class{constructor(e){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"diag\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let value = select(0.0, getX(coords[0]), coords[0] == coords[1]);\n setOutputAtIndex(index, value);\n }\n }\n `}};function Yie(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=pe({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new $x(s),p=t.runWebGPUProgram(i,[a],a.dtype),u=pe({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var aV={kernelName:Zs,backendName:\"webgpu\",kernelFunc:Yie};var Ex=class{constructor(e){this.variableNames=[\"x\",\"w\"],this.uniforms=\"filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"dilation2d\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let neg_infinity = -3.4e38;\n let coords = getOutputCoords();\n let batch = coords.x;\n let d1 = coords.w;\n let outTopLeftCorner = coords.yz * uniforms.strides - uniforms.pads;\n let hBeg = outTopLeftCorner.x;\n let wBeg = outTopLeftCorner.y;\n\n var curVal = neg_infinity;\n for (var h = 0; h < uniforms.filterDims[0]; h = h + 1) {\n let hIn = hBeg + h * uniforms.dilations[0];\n\n if (hIn >= 0 && hIn < uniforms.xShape[1]) {\n for (var w = 0; w < uniforms.filterDims[1]; w = w + 1) {\n let wIn = wBeg + w * uniforms.dilations[1];\n\n if (wIn >= 0 && wIn < uniforms.xShape[2]) {\n let val = getX(batch, hIn, wIn, d1) + getW(h, w, d1);\n if (val > curVal) {\n curVal = val;\n }\n }\n }\n }\n }\n\n setOutputAtIndex(index, curVal);\n }\n }\n `}};function Qie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeDilation2DInfo(n.shape,s.shape,a,i,\"NHWC\",p),c=[u.padInfo.top,u.padInfo.left],l=[{type:\"int32\",data:[u.filterHeight,u.filterWidth]},{type:\"int32\",data:[...c]},{type:\"int32\",data:[u.strideHeight,u.strideWidth]},{type:\"int32\",data:[u.dilationHeight,u.dilationWidth]}],m=new Ex(u);return t.runWebGPUProgram(m,[n,s],n.dtype,l)}var iV={kernelName:mn,backendName:\"webgpu\",kernelFunc:Qie};var Rx=class{constructor(e,t){if(this.variableNames=[\"x\",\"w\",\"dy\"],this.uniforms=\"filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,\",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(e.outShape),this.dispatch=q(this.dispatchLayout,e.outShape,this.workgroupSize),t!==\"float32\"&&t!==\"int32\")throw new Error(`Dilation2DBackpropInput only supports float32 and int32\n types, does not support ${t} type.`);this.type=t,this.shaderKey=\"dilation2DBackpropInput\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.dySize) {\n let coords = getDyCoordsFromIndex(index);\n let b = coords[0];\n let r = coords[1];\n let c = coords[2];\n let d = coords[3];\n\n let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads;\n var curVal = -3.4e38; // neg_infinity\n var xRMax = 0;\n var xCMax = 0;\n\n // In the case of multiple argmax branches, we only back-propagate\n // along the last branch, i.e., the one with largest value of\n // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling\n // backward routines.\n for (var wR = 0; wR < uniforms.filterDims[0]; wR++) {\n let xR = dyCorner.x + wR * uniforms.dilations[0];\n\n if (xR >= 0 && xR < uniforms.xShape[1]) {\n for (var wC = 0; wC < uniforms.filterDims[1]; wC++) {\n let xC = dyCorner.y + wC * uniforms.dilations[1];\n\n if (xC >= 0 && xC < uniforms.xShape[2]) {\n let val = getX(b, xR, xC, d) + getW(wR, wC, d);\n if (val > curVal) {\n curVal = val;\n xRMax = xR;\n xCMax = xC;\n }\n }\n }\n }\n }\n\n let flatIndexIn = d + uniforms.xShape[3] *\n (xCMax + uniforms.xShape[2] * (xRMax + uniforms.xShape[1] * b));\n let value = getDy(b, r, c, d);\n ${Bs(\"&result[flatIndexIn]\",\"value\",this.type)}\n }\n }\n `}},Dx=class{constructor(e,t,o){if(this.variableNames=[\"x\",\"w\",\"dy\"],this.uniforms=\"filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,\",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(e.outShape),this.dispatch=q(this.dispatchLayout,e.outShape,this.workgroupSize),o!==\"float32\"&&o!==\"int32\")throw new Error(`Dilation2DBackpropFilter only supports float32 and int32\n types, does not support ${o} type.`);this.type=o,this.shaderKey=\"dilation2DBackpropFilter\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.dySize) {\n let coords = getDyCoordsFromIndex(index);\n let b = coords[0];\n let r = coords[1];\n let c = coords[2];\n let d = coords[3];\n\n let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads;\n var curVal = -3.4e38; // neg_infinity\n var wRMax = 0;\n var wCMax = 0;\n\n // In the case of multiple argmax branches, we only back-propagate\n // along the last branch, i.e., the one with largest value of\n // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling\n // backward routines.\n for (var wR = 0; wR < uniforms.filterDims[0]; wR++) {\n let xR = dyCorner.x + wR * uniforms.dilations[0];\n\n if (xR >= 0 && xR < uniforms.xShape[1]) {\n for (var wC = 0; wC < uniforms.filterDims[1]; wC++) {\n let xC = dyCorner.y + wC * uniforms.dilations[1];\n\n if (xC >= 0 && xC < uniforms.xShape[2]) {\n let val = getX(b, xR, xC, d) + getW(wR, wC, d);\n if (val > curVal) {\n curVal = val;\n wRMax = wR;\n wCMax = wC;\n }\n }\n }\n }\n }\n\n let flatIndexIn = d + uniforms.wShape[2] * (wCMax + wRMax * uniforms.wShape[1]);\n let value = getDy(b, r, c, d);\n ${Bs(\"&result[flatIndexIn]\",\"value\",this.type)}\n }\n }\n `}};function Zie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o,c=C.computeDilation2DInfo(n.shape,s.shape,i,p,\"NHWC\",u),l=s.dtype,m=new Dx(c,s.shape,l),d=[{type:\"int32\",data:[c.filterHeight,c.filterWidth]},{type:\"int32\",data:[c.padInfo.top,c.padInfo.left]},{type:\"int32\",data:[c.strideHeight,c.strideWidth]},{type:\"int32\",data:[c.dilationHeight,c.dilationWidth]},{type:\"int32\",data:[y.sizeFromShape(c.outShape)]}],f=Vt({backend:t,attrs:{shape:s.shape,value:0,dtype:l}});return t.runWebGPUProgram(m,[n,s,a],l,d,f)}var uV={kernelName:Ai,backendName:\"webgpu\",kernelFunc:Zie};function Jie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o,c=C.computeDilation2DInfo(n.shape,s.shape,i,p,\"NHWC\",u),l=n.dtype,m=new Rx(c,l),d=[{type:\"int32\",data:[c.filterHeight,c.filterWidth]},{type:\"int32\",data:[c.padInfo.top,c.padInfo.left]},{type:\"int32\",data:[c.strideHeight,c.strideWidth]},{type:\"int32\",data:[c.dilationHeight,c.dilationWidth]},{type:\"int32\",data:[y.sizeFromShape(c.outShape)]}],f=Vt({backend:t,attrs:{shape:c.inShape,value:0,dtype:l}});return t.runWebGPUProgram(m,[n,s,a],l,d,f)}var pV={kernelName:Di,backendName:\"webgpu\",kernelFunc:Jie};var Wv=et({opType:fe.MUL,cpuKernelImpl:HB,supportsComplex:!0}),cV={kernelName:Kn,backendName:\"webgpu\",kernelFunc:Wv};function Uv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,\"sum\",t)}var lV={kernelName:ys,backendName:\"webgpu\",kernelFunc:Uv};function eue(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=C.decodeEinsumEquation(n,s.length);C.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=C.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=Uv({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeData(h.dataId);return m}var mV={kernelName:Fi,backendName:\"webgpu\",kernelFunc:eue};var tue=xe({opType:Q.ELU}),dV={kernelName:fn,backendName:\"webgpu\",kernelFunc:tue};var rue=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=new bi(fe.ELU_DER,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],o.dtype)},fV={kernelName:Va,backendName:\"webgpu\",kernelFunc:rue};var oue=et({opType:fe.EQUAL,dtype:\"bool\",cpuKernelImpl:EB}),hV={kernelName:hn,backendName:\"webgpu\",kernelFunc:oue};var nue=xe({opType:Q.ERF}),gV={kernelName:Wa,backendName:\"webgpu\",kernelFunc:nue};var sue=xe({opType:Q.EXP,cpuKernelImpl:RB,dtype:\"float32\"}),xV={kernelName:gn,backendName:\"webgpu\",kernelFunc:sue};function Ax(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),pe({inputs:{x:s},backend:o,attrs:{shape:i}})}var yV={kernelName:Js,backendName:\"webgpu\",kernelFunc:Ax};var aue=xe({opType:Q.EXPM1,cpuKernelImpl:DB}),bV={kernelName:xn,backendName:\"webgpu\",kernelFunc:aue};var fm=class{constructor(e,t){this.variableNames=[\"real\",\"imag\"],this.outputShape=[],this.uniforms=\"exponentMultiplier : f32, denominator: f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return`\n fn unaryOpComplex(real: f32, expR: f32, imag: f32, expI: f32) -> f32 {\n ${this.component===\"real\"?\"return real * expR - imag * expI;\":\"return real * expI + imag * expR;\"}\n }\n\n fn mulMatDFT(batch: i32, index: i32) -> f32 {\n let indexRatio = f32(index) / f32(uniforms.realShape[1]);\n let exponentMultiplierTimesIndexRatio =\n uniforms.exponentMultiplier * indexRatio;\n\n var result = 0.0;\n\n for (var i = 0; i < uniforms.realShape[1]; i = i + 1) {\n // x = (-2|2 * PI / N) * index * i;\n let x = exponentMultiplierTimesIndexRatio * f32(i);\n let expR = cos(x);\n let expI = sin(x);\n let real = getReal(batch, i);\n let imag = getImag(batch, i);\n\n result = result +\n unaryOpComplex(real, expR, imag, expI) / uniforms.denominator;\n }\n\n return result;\n }\n\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n setOutputAtIndex(index, mulMatDFT(coords[0], coords[1]));\n }\n }\n `}};function Fx(r,e,t){let o=t.tensorMap.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=[],p=pe({inputs:{x:r},backend:t,attrs:{shape:[a,s]}});i.push(p);let u=p.shape,c=new fm(\"real\",u),l=new fm(\"imag\",u),m=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:u},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:u}],d=e?2*Math.PI:-2*Math.PI,f=e?u[1]:1,h=[{type:\"float32\",data:[d]},{type:\"float32\",data:[f]}],g=t.runWebGPUProgram(c,m,\"float32\",h);i.push(g);let x=t.runWebGPUProgram(l,m,\"float32\",h);i.push(x);let b=fo({inputs:{real:g,imag:x},backend:t});i.push(b);let w=pe({inputs:{x:b},backend:t,attrs:{shape:r.shape}});return i.forEach(S=>t.disposeData(S.dataId)),w}function iue(r){let{inputs:e,backend:t}=r,{input:o}=e;return Fx(o,!1,t)}var CV={kernelName:Pi,backendName:\"webgpu\",kernelFunc:iue};var Px=class{constructor(e){this.outputShape=[],this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"flipLeftRight\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let coordX = uniforms.xShape[2] - coords[2] - 1;\n let outputValue = getX(coords[0], coords[1], coordX, coords[3]);\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};var wV={kernelName:yn,backendName:\"webgpu\",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new Px(t.shape);return o.runWebGPUProgram(n,[t],t.dtype)}};var uue=xe({opType:Q.FLOOR,cpuKernelImpl:AB}),SV={kernelName:bn,backendName:\"webgpu\",kernelFunc:uue};var pue=et({opType:fe.INT_DIV,cpuKernelImpl:FB,dtype:\"int32\"}),IV={kernelName:Cn,backendName:\"webgpu\",kernelFunc:pue};var Ox=class{constructor(e,t,o=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=o,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?\"textureLoad(src, vec2(coords.yx));\":\"textureLoad(src, vec2(coords.yx), 0)\";return`\n @binding(1) @group(0) var src: ${this.importVideo?\"texture_external\":\"texture_2d\"};\n ${K(\"index\")} {\n let flatIndex = index * uniforms.numChannels;\n if (flatIndex < uniforms.size) {\n let coords = getCoordsFromIndex(flatIndex);\n let values = ${e};\n for (var i = 0; i < uniforms.numChannels; i = i + 1) {\n result[flatIndex + i] = i32(floor(255.0 * values[i]));\n }\n }\n }\n `}};var vV={kernelName:$u,backendName:\"webgpu\",kernelFunc:cue},Zc,Gv=P().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");function cue(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o;if(n==null)throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");let a=typeof HTMLVideoElement!=\"undefined\"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!=\"undefined\"&&n instanceof HTMLImageElement,p=typeof HTMLCanvasElement!=\"undefined\"&&n instanceof HTMLCanvasElement||typeof OffscreenCanvas!=\"undefined\"&&n instanceof OffscreenCanvas,u=typeof ImageBitmap!=\"undefined\"&&n instanceof ImageBitmap,[c,l]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],m=[l,c,s],d=!1,f=a||i;if(u||p||f){let b;if(d)b={width:c,height:l,format:null,usage:null,texture:t.device.importExternalTexture({source:n})};else{if(f){let L=P().getBool(\"CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU\");(Zc==null||L!==Gv)&&(Gv=L,Zc=document.createElement(\"canvas\").getContext(\"2d\",{willReadFrequently:Gv})),Zc.canvas.width=c,Zc.canvas.height=l,Zc.drawImage(n,0,0,c,l),n=Zc.canvas}let F=GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING,O=\"rgba8unorm\",M=t.textureManager.acquireTexture(m[1],m[0],O,F);t.queue.copyExternalImageToTexture({source:n},{texture:M},[m[1],m[0]]),b={width:c,height:l,format:O,usage:F,texture:M}}let w=y.sizeFromShape(m),S=y.computeStrides(m),k=new Ox(m,s,d),_=[{type:\"uint32\",data:[w]},{type:\"uint32\",data:[s]},{type:\"uint32\",data:[...S]}],E=t.makeTensorInfo([l,c],\"int32\"),R=t.tensorMap.get(E.dataId);R.resourceInfo=b;let D=t.runWebGPUProgram(k,[E],\"int32\",_);return t.disposeData(E.dataId),D}let h=n.data,g=h;if(s!=null&&s!==4){g=new Uint8Array(n.width*n.height*s);let b=h.length,w=0;for(let S=0;S(xValue, -meanValue, offsetValue), vec3(inv, inv, 1.0)));\n }\n }\n `}};var kV={kernelName:wn,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o,scale:n,offset:s,mean:a,variance:i}=r,{varianceEpsilon:p}=e,u=t,c=[o,a,i],l=null;s!=null&&(l=s.shape,c.push(s));let m=null;n!=null&&(m=n.shape,c.push(n));let d=new Mx(o.shape,a.shape,i.shape,l,m),f=[{type:\"float32\",data:[p]}];return u.runWebGPUProgram(d,c,o.dtype,f)}};function lue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=C.convertConv2DDataFormat(c),g=C.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h);return gx({x:n,filter:s,convInfo:g,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:f,activation:d})}var NV={kernelName:Co,backendName:\"webgpu\",kernelFunc:lue};function mue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=c;f==null&&(f=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(p,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`);let h=C.computeConv2DInfo(n.shape,s.shape,p,f,u,l,!0),g=[n,s],x=a!=null,b=i!=null;x&&g.push(a),b&&g.push(i);let w=[{type:\"int32\",data:[h.padInfo.top,h.padInfo.left]},{type:\"int32\",data:[h.inHeight,h.inWidth]}],S;return h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?S=new Yc(h,x,m,b):(S=new Qc(h,x,m,b),w.push({type:\"int32\",data:[h.filterHeight]},{type:\"int32\",data:[h.filterWidth]},{type:\"int32\",data:[h.strideHeight,h.strideWidth]},{type:\"int32\",data:[h.dilationHeight,h.dilationWidth]})),m===\"leakyrelu\"&&(w.push({type:\"float32\",data:[d]}),S.uniforms+=\" alpha : f32,\"),t.runWebGPUProgram(S,g,\"float32\",w)}var TV={kernelName:wo,backendName:\"webgpu\",kernelFunc:mue};var Lx=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${Nt(e)},`}getUserCode(){let e;return this.sliceDim>1?e=\"uniforms.strides[j]\":e=\"uniforms.strides\",`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var flattenIndex = 0;\n for (var j = 0; j < uniforms.sliceDim; j = j + 1) {\n let indexTemp = i32(round(getIndices(coords[0], j)));\n let strideNum = ${e};\n flattenIndex = flattenIndex + indexTemp * strideNum;\n }\n\n setOutputAtIndex(index, getA(flattenIndex, coords[1]));\n }\n }\n `}};function due(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=C.prepareAndValidate(o,n),m=pe({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=pe({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype===\"string\"){let b=t.readSync(n.dataId),w=t.bufferSync(o),S=PB(b,w,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,S.values)}let f=new Lx(a,[u,c]),h=[{type:\"int32\",data:[a]},{type:\"int32\",data:l}],g=t.runWebGPUProgram(f,[d,m],d.dtype,h),x=pe({inputs:{x:g},backend:t,attrs:{shape:p}});return t.disposeData(m.dataId),t.disposeData(d.dataId),t.disposeData(g.dataId),x}var _V={kernelName:Sn,backendName:\"webgpu\",kernelFunc:due};var Bx=class{constructor(e,t){this.variableNames=[\"A\",\"indices\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"gather\"}getUserCode(){let e=fue(this.aShape);return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let resRC = getCoordsFromIndex(index);\n let indexZ = i32(getIndices(resRC.x, resRC.z));\n let inBounds = select(0.0, 1.0, indexZ >= 0 && indexZ < uniforms.aShape[2]);\n setOutputAtIndex(index, inBounds * getA(${e}));\n }\n }\n `}};function fue(r){let e=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],t=[];for(let o=0;ot.disposeData(D.dataId)),t.makeTensorInfo(u.outputShape,R.dtype,R.values)}let h=new Bx(m.shape,f),g=t.runWebGPUProgram(h,[m,d],m.dtype);l.push(g);let x=pe({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeData(b.dataId)),x}var $V={kernelName:ta,backendName:\"webgpu\",kernelFunc:Hv};var hue=et({opType:fe.GREATER,cpuKernelImpl:LB,dtype:\"bool\"}),EV={kernelName:In,backendName:\"webgpu\",kernelFunc:hue};var gue=et({opType:fe.GREATER_EQUAL,dtype:\"bool\",cpuKernelImpl:MB}),RV={kernelName:vn,backendName:\"webgpu\",kernelFunc:gue};function xue(r){let{inputs:e,backend:t}=r,{input:o}=e;return Fx(o,!0,t)}var DV={kernelName:Oi,backendName:\"webgpu\",kernelFunc:xue};var yue=xe({opType:Q.IS_FINITE,dtype:\"bool\"}),AV={kernelName:kn,backendName:\"webgpu\",kernelFunc:yue};var bue=xe({opType:Q.IS_INF,dtype:\"bool\"}),FV={kernelName:Nn,backendName:\"webgpu\",kernelFunc:bue};var Cue=xe({opType:Q.IS_NAN,dtype:\"bool\"}),PV={kernelName:Tn,backendName:\"webgpu\",kernelFunc:Cue};function wue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=[{type:\"float32\",data:[s]}],i=new Xr(n.shape,Q.LEAKYRELU,\"alpha : f32,\");return t.runWebGPUProgram(i,[n],\"float32\",a)}var OV={kernelName:_n,backendName:\"webgpu\",kernelFunc:wue};var Sue=et({opType:fe.LESS,dtype:\"bool\",cpuKernelImpl:zB}),MV={kernelName:$n,backendName:\"webgpu\",kernelFunc:Sue};var Iue=et({opType:fe.LESS_EQUAL,dtype:\"bool\",cpuKernelImpl:BB}),LV={kernelName:En,backendName:\"webgpu\",kernelFunc:Iue};var zx=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms=\"start : f32, step : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"linSpace\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n setOutputAtIndex(index, uniforms.start + f32(index) * uniforms.step);\n }\n }\n `}};function vue(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=(n-o)/(s-1),i=new zx(s),p=[{type:\"float32\",data:[o]},{type:\"float32\",data:[a]}];return e.runWebGPUProgram(i,[],\"float32\",p)}var BV={kernelName:Rn,backendName:\"webgpu\",kernelFunc:vue};var kue=xe({opType:Q.LOG,cpuKernelImpl:VB}),zV={kernelName:Dn,backendName:\"webgpu\",kernelFunc:kue};var Nue=xe({opType:Q.LOG1P}),VV={kernelName:An,backendName:\"webgpu\",kernelFunc:Nue};var Tue=et({opType:fe.LOGICAL_AND,dtype:\"bool\"}),WV={kernelName:Fn,backendName:\"webgpu\",kernelFunc:Tue};var _ue=xe({opType:Q.LOGICAL_NOT}),UV={kernelName:Pn,backendName:\"webgpu\",kernelFunc:_ue};var $ue=et({opType:fe.LOGICAL_OR}),GV={kernelName:On,backendName:\"webgpu\",kernelFunc:$ue};var HV=`\n var powValue = 0.0;\n let basis = uniforms.bias + uniforms.alpha * sum;\n if (uniforms.beta == 0.5) {\n powValue = inverseSqrt(basis);\n } else if (uniforms.beta == 1.0) {\n powValue = 1.0 / basis;\n } else {\n powValue = exp(log(basis) * (-uniforms.beta));\n }\n`,Vx=class{constructor(e){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"radius : i32, bias : f32, alpha : f32, beta : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"lrn\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let b = coords[0];\n let r = coords[1];\n let c = coords[2];\n let d = coords[3];\n\n let x = getX(b, r, c, d);\n var sum = 0.0;\n for (var i = -uniforms.radius; i <= uniforms.radius; i = i + 1) {\n let idx = d + i;\n if (idx >= 0 && idx < uniforms.xShape[3]) {\n let z = getX(b, r, c, idx);\n sum = sum + z * z;\n }\n }\n ${HV}\n\n setOutputAtIndex(index, x * powValue);\n }\n }\n `}},Wx=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"x\"],this.uniforms=\"radius : i32, bias : f32, alpha : f32, beta : f32,\",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,y.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey=\"lrn_shared\"}getUserCode(){return`\n var lrnSub: array;\n const elementsPerWorkgroup = ${this.elementsPerWorkgroup};\n const maxAllowRadius = ${this.maxAllowRadius};\n\n ${K()} {\n let localDepth = i32(localId.x);\n let workgroupDepth = i32(workgroupId.x) * elementsPerWorkgroup;\n let xDepth = workgroupDepth + localDepth - maxAllowRadius;\n let b = i32(globalId.z) / uniforms.xShape[1];\n let r = i32(globalId.z) - b * uniforms.xShape[1];\n let c = i32(globalId.y);\n let d = workgroupDepth + localDepth;\n\n var x = 0.0;\n if (xDepth >= 0 && xDepth < uniforms.xShape[3]) {\n x = getX(b, r, c, xDepth);\n }\n lrnSub[localDepth] = x;\n workgroupBarrier();\n\n if (localDepth < elementsPerWorkgroup && d < uniforms.outShape[3]) {\n var sum = 0.0;\n let index = localDepth + maxAllowRadius;\n for (var i = -uniforms.radius; i <= uniforms.radius; i = i + 1) {\n let z = lrnSub[index + i];\n sum = sum + z * z;\n }\n ${HV}\n\n setOutputAtCoords(b, r, c, d, lrnSub[index] * powValue);\n }\n } `}};function Eue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u;s>16?u=new Vx(n.shape):u=new Wx(n.shape,s);let c=[{type:\"int32\",data:[s]},{type:\"float32\",data:[a]},{type:\"float32\",data:[i]},{type:\"float32\",data:[p]}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var KV={kernelName:Mn,backendName:\"webgpu\",kernelFunc:Eue};var Ux=class{constructor(e){this.outputShape=[],this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.uniforms=\"depthRadius : i32, bias : f32, alpha : f32, beta : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"lrn_grad\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let b = coords[0];\n let r = coords[1];\n let c = coords[2];\n\n let MIN_DEPTH_BEGIN = 0;\n let MAX_DEPTH_END = uniforms.outShape[3];\n var result = 0.0;\n for (var d = MIN_DEPTH_BEGIN; d < MAX_DEPTH_END; d++) {\n let depthBegin = max(MIN_DEPTH_BEGIN, d - uniforms.depthRadius);\n let depthEnd = min(MAX_DEPTH_END, d + uniforms.depthRadius + 1);\n\n var norm = 0.0;\n for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) {\n if (k < depthBegin) {\n continue;\n } else if (k >= depthBegin && k < depthEnd) {\n norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n } else {\n break;\n }\n }\n\n norm = uniforms.alpha * norm + uniforms.bias;\n\n for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) {\n if (k < depthBegin) {\n continue;\n } else if (k >= depthBegin && k < depthEnd) {\n var dyi = -2.0 * uniforms.alpha * uniforms.beta\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d) / norm;\n if (k == d) {\n dyi += pow(norm, -1.0 * uniforms.beta);\n }\n if (k == coords[3]) {\n dyi *= getDy(b, r, c, d);\n result += dyi;\n }\n } else {\n break;\n }\n }\n }\n\n setOutputAtIndex(index, result);\n }\n }\n `}};function Rue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new Ux(n.shape),m=[{type:\"int32\",data:[i]},{type:\"float32\",data:[p]},{type:\"float32\",data:[u]},{type:\"float32\",data:[c]}];return t.runWebGPUProgram(l,[n,s,a],n.dtype,m)}var qV={kernelName:Ua,backendName:\"webgpu\",kernelFunc:Rue};var Due=et({opType:fe.MAX,cpuKernelImpl:UB}),jV={kernelName:Bn,backendName:\"webgpu\",kernelFunc:Due};function Aue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=C.computePool2DInfo(n.shape,s,a,u,i,p);return ox(n,c,\"max\",t)}var XV={kernelName:zn,backendName:\"webgpu\",kernelFunc:Aue};function Fue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new wu(l,\"max\"),d=[{type:\"int32\",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:\"int32\",data:[l.padInfo.front,l.padInfo.top,l.padInfo.left]},{type:\"int32\",data:[l.inDepth,l.inHeight,l.inWidth]},{type:\"int32\",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]}];return t.runWebGPUProgram(m,[n],n.dtype,d)}var YV={kernelName:ra,backendName:\"webgpu\",kernelFunc:Fue};var Gx=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2,\n outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"maxPool2DBackprop\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords[0];\n let d = coords[3];\n\n let dyRCCorner = vec2(coords.yz) - uniforms.pads;\n let dyRCorner = dyRCCorner.x;\n let dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] - 1;\n for (var wR = 0; wR < uniforms.filterDims[0]; wR += uniforms.dilations[0]) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims[1]; wC += uniforms.dilations[1]) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let dyValue = getDy(batch, idyR, idyC, d);\n let maxPosValue = lastIndex - i32(getMaxPos(batch, idyR, idyC, d));\n\n // Get the current value, check it against the value from the\n // position matrix.\n let curPosValue = wR * uniforms.filterDims[1] + wC;\n let mask = select(0.0, 1.0, maxPosValue == curPosValue);\n dotProd += dyValue * mask;\n }\n }\n setOutputAtIndex(index, dotProd);\n }\n }\n `}},Hx=class{constructor(e){this.variableNames=[\"dy\",\"maxPos\"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3,\n outDepth : i32, outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"maxPool3DBackprop\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let batch = coords.x;\n let ch = coords.u;\n\n let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads;\n let dyDCorner = dyCorner.x;\n let dyRCorner = dyCorner.y;\n let dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = 0.0;\n let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] * uniforms.filterDims[2] - 1;\n\n for (var wD = 0; wD < uniforms.filterDims[0]; wD++) {\n let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]);\n\n if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) {\n continue;\n }\n let idyD = i32(dyD);\n\n for (var wR = 0; wR < uniforms.filterDims[1]; wR++) {\n let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]);\n\n if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) {\n continue;\n }\n let idyR = i32(dyR);\n\n for (var wC = 0; wC < uniforms.filterDims[2]; wC++) {\n let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]);\n\n if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) {\n continue;\n }\n let idyC = i32(dyC);\n\n let dyValue = getDy(batch, idyD, idyR, idyC, ch);\n let maxPosValue = lastIndex - i32(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n // Get the current value, check it against the value from the\n // position matrix.\n let curPosValue = wD * uniforms.filterDims[1] * uniforms.filterDims[2] + wR * uniforms.filterDims[2] + wC;\n let mask = select(0.0, 1.0, maxPosValue == curPosValue);\n dotProd += dyValue * mask;\n }\n }\n }\n\n setOutputAtIndex(index, dotProd);\n }\n }\n `}};function Pue(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=C.computePool3DInfo(a.shape,i,p,l,u,c),d=new wu(m,\"max\",!0),f=[{type:\"int32\",data:[m.strideDepth,m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.padInfo.front,m.padInfo.top,m.padInfo.left]},{type:\"int32\",data:[m.inDepth,m.inHeight,m.inWidth]},{type:\"int32\",data:[m.effectiveFilterDepth,m.effectiveFilterHeight,m.effectiveFilterWidth]}],h=t.runWebGPUProgram(d,[a],\"int32\",f),g=new Hx(m);f=[{type:\"int32\",data:[m.strideDepth,m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.effectiveFilterDepth-1-m.padInfo.front,m.effectiveFilterHeight-1-m.padInfo.top,m.effectiveFilterWidth-1-m.padInfo.left]},{type:\"int32\",data:[m.effectiveFilterDepth,m.effectiveFilterHeight,m.effectiveFilterWidth]},{type:\"int32\",data:[m.outDepth]},{type:\"int32\",data:[m.outHeight]},{type:\"int32\",data:[m.outWidth]}];let x=t.runWebGPUProgram(g,[n,h],a.dtype,f);return t.disposeData(h.dataId),x}var QV={kernelName:Li,backendName:\"webgpu\",kernelFunc:Pue};function Oue(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;cm([s,a],\"maxPoolGrad\");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=C.computePool2DInfo(i.shape,p,u,1,c,l),d=new Da(m,\"max\",!0),f=[{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.padInfo.top,m.padInfo.left]},{type:\"int32\",data:[m.dilationHeight,m.dilationWidth]},{type:\"int32\",data:[m.inHeight,m.inWidth]},{type:\"int32\",data:[m.effectiveFilterHeight,m.effectiveFilterWidth]}],h=t.runWebGPUProgram(d,[i],\"int32\",f),g=new Gx(m);f=[{type:\"int32\",data:[m.strideHeight,m.strideWidth]},{type:\"int32\",data:[m.effectiveFilterHeight-1-m.padInfo.top,m.effectiveFilterWidth-1-m.padInfo.left]},{type:\"int32\",data:[m.dilationHeight,m.dilationWidth]},{type:\"int32\",data:[m.effectiveFilterHeight,m.effectiveFilterWidth]},{type:\"int32\",data:[m.outHeight]},{type:\"int32\",data:[m.outWidth]}];let x=t.runWebGPUProgram(g,[n,h],i.dtype,f);return t.disposeData(h.dataId),x}var ZV={kernelName:Hp,backendName:\"webgpu\",kernelFunc:Oue};function Mue(r){let{inputs:e,backend:t,attrs:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=o,{x:p}=e;y.assert(p.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${p.shape.length}.`);let u=[1,1];y.assert(C.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=C.computePool2DInfo(p.shape,n,s,u,a),l=[{type:\"int32\",data:[c.strideHeight,c.strideWidth]},{type:\"int32\",data:[c.padInfo.top,c.padInfo.left]},{type:\"int32\",data:[c.dilationHeight,c.dilationWidth]},{type:\"int32\",data:[c.inHeight,c.inWidth]},{type:\"int32\",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]}],m=new Da(c,\"max\",!1),d=t.runWebGPUProgram(m,[p],p.dtype,l);m=new Da(c,\"max\",!0,!0,i);let f=t.runWebGPUProgram(m,[p],\"int32\",l);return[d,f]}var JV={kernelName:Bi,backendName:\"webgpu\",kernelFunc:Mue};function Lue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,\"min\",t)}var eW={kernelName:Wn,backendName:\"webgpu\",kernelFunc:Lue};var Bue=et({opType:fe.MIN,cpuKernelImpl:GB}),tW={kernelName:Un,backendName:\"webgpu\",kernelFunc:Bue};var Kx=class{constructor(e,t,o){this.uniforms=\"\",this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,s)=>n[0]+e[s]+n[1]),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,s)=>{this.uniforms+=` pad${s} : vec2,`}),this.offset=o===\"reflect\"?0:1,this.shaderKey=`mirrorPad_${o}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((u,c)=>`uniforms.pad${c}[0]`).join(\",\"),o=this.xShape.map((u,c)=>`uniforms.pad${c}[0] + uniforms.xShape${e>1?`[${c}]`:\"\"}`).join(\",\"),n=e===1?\"start\":\"start[i]\",s=e===1?\"end\":\"end[i]\",a=e===1?\"outC\":\"outC[i]\",i=Nt(e),p=e>1?[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,e):\"coords\";return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let start = ${i}(${t});\n let end = ${i}(${o});\n var outC = getCoordsFromIndex(index);\n for (var i = 0; i < ${e}; i = i + 1) {\n if (${a} < ${n}) {\n ${a} = ${n} * 2 - ${a} - ${this.offset};\n } else if(${a} >= ${s}) {\n ${a} = (${s} - 1) * 2 - ${a} + ${this.offset};\n }\n }\n let coords = outC - start;\n setOutputAtIndex(index, getX(${p}));\n }\n }\n `}};var rW={kernelName:Gn,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{paddings:n,mode:s}=e,a=t,i=n.map(c=>({type:\"int32\",data:[c[0],c[1]]})),p=new Kx(o.shape,n,s);return a.runWebGPUProgram(p,[o],o.dtype,i)}};var zue=et({opType:fe.MOD}),oW={kernelName:Ga,backendName:\"webgpu\",kernelFunc:zue};var qx=class{constructor(e,t){this.variableNames=[\"probs\"],this.outputShape=[],this.uniforms=\"seed : f32, numOutcomes: i32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"multinomial\"}getUserCode(){return`\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n fn random (seed : f32, resultUV : vec2) -> f32 {\n let HASHSCALE1 = 443.8975;\n let p = resultUV * seed;\n var p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 = p3 + dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let batch = coords[0];\n\n let resUV = vec2(f32(coords[1]) / f32(uniforms.outShape[1]),\n f32(coords[0]) / f32(uniforms.outShape[0]));\n let r = random(uniforms.seed, resUV);\n var cdf = 0.0;\n for (var i = 0; i < uniforms.numOutcomes - 1; i = i + 1) {\n cdf = cdf + getProbs(batch, i);\n\n if (r < cdf) {\n setOutputAtIndexI32(index, i);\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutputAtIndexI32(index, uniforms.numOutcomes - 1);\n }\n }\n `}};var jx=class{constructor(e){this.variableNames=[\"logits\"],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=[this.outputShape[0],1,1],this.outputShape[1]>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.shaderKey=\"softmax\"}getUserCode(){return`\n var buf : array;\n var rowMaxShared : f32;\n var rowSumShared : f32;\n const blockSize = ${this.workgroupSize[0]};\n ${K(\"index\")} {\n let row = index / blockSize;\n let tid = i32(localId.x);\n let cols = uniforms.outShape[1];\n\n var threadMax = -3.402823e+38f;\n for (var col = tid; col < cols; col += blockSize) {\n let value = getLogits(row, col);\n threadMax = max(threadMax, value);\n }\n if (tid < cols) {\n buf[tid] = threadMax;\n }\n workgroupBarrier();\n\n var reduceSize = min(cols, blockSize);\n for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) {\n reduceSize = currSize + (reduceSize & 1);\n if (tid < currSize) {\n buf[tid] = max(buf[tid], buf[tid + reduceSize]);\n }\n workgroupBarrier();\n }\n\n if (tid == 0) {\n rowMaxShared = buf[0];\n }\n workgroupBarrier();\n\n var threadSum = 0.0;\n for (var col = tid; col < cols; col += blockSize) {\n let subExp = exp(getLogits(row, col) - rowMaxShared);\n threadSum += subExp;\n }\n buf[tid] = threadSum;\n workgroupBarrier();\n\n for (var currSize = blockSize >> 1; currSize > 0; currSize = currSize >> 1) {\n if (tid < currSize) {\n buf[tid] = buf[tid] + buf[tid + currSize];\n }\n workgroupBarrier();\n }\n\n if (tid == 0) {\n rowSumShared = buf[0];\n }\n workgroupBarrier();\n\n for (var col = tid; col < cols; col += blockSize) {\n let value = exp(getLogits(row, col) - rowMaxShared) / rowSumShared;\n setOutputAtCoords(row, col, value);\n }\n }\n `}};function Kv(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=pe({inputs:{x:n},backend:t,attrs:{shape:[y.sizeFromShape(n.shape)/n.shape[s],n.shape[s]]}}),i=new jx(a.shape),p=t.runWebGPUProgram(i,[a],n.dtype),u=pe({inputs:{x:p},backend:t,attrs:{shape:n.shape}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var nW={kernelName:bs,backendName:\"webgpu\",kernelFunc:Kv};function Vue(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:Kv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new qx(u,s),m=[{type:\"float32\",data:[a]},{type:\"int32\",data:[c]}],d=t.runWebGPUProgram(l,[p],\"int32\",m);return i||t.disposeData(p.dataId),d}var sW={kernelName:Hn,backendName:\"webgpu\",kernelFunc:Vue};function Wue(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.tensorMap.get(o.dataId),[a,i]=KB(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n=new Xr(o.shape,Q.NEG);return t.runWebGPUProgram(n,[o],o.dtype)}var aW={kernelName:oa,backendName:\"webgpu\",kernelFunc:Wue};function Uue(r){console.warn(\"tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=Wt.nonMaxSuppressionV3Impl(u,c,a,i,p);return t.makeTensorInfo([l.length],\"int32\",new Int32Array(l))}var iW={kernelName:jn,backendName:\"webgpu\",kernelFunc:Uue};function Gue(r){console.warn(\"tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=Wt.nonMaxSuppressionV5Impl(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],\"int32\",new Int32Array(g)),t.makeTensorInfo([x.length],\"float32\",new Float32Array(x))]}var uW={kernelName:Xn,backendName:\"webgpu\",kernelFunc:Gue};var Xx=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=\"onValue : f32, offValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"onehot\"}getUserCode(){return`\n ${K(\"index\")} {\n if(index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n setOutputAtIndex(index, mix(uniforms.offValue, uniforms.onValue,\n f32(i32(round(getX(coords.x))) == coords.y)));\n }\n }\n `}};function Hue(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new Xx(u,a),l=pe({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=[{type:\"float32\",data:[i]},{type:\"float32\",data:[p]}],d=t.runWebGPUProgram(c,[l],s,m);t.disposeData(l.dataId);let f=[...n.shape,a],h=pe({inputs:{x:d},backend:t,attrs:{shape:f}});return t.disposeData(d.dataId),h}var pW={kernelName:Yn,backendName:\"webgpu\",kernelFunc:Hue};function hm(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"complex64\"){let n=Ci({inputs:{input:o},backend:t}),s=hm({inputs:{x:n},backend:t}),a=Ep({inputs:{input:o},backend:t}),i=hm({inputs:{x:a},backend:t}),p=fo({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return Vt({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype===\"string\"?\"\":0},backend:t})}var cW={kernelName:fa,backendName:\"webgpu\",kernelFunc:hm};function lW(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype===\"string\")throw new Error(\"onesLike is not supported under string dtype\");if(o.dtype===\"complex64\"){let n=Ci({inputs:{input:o},backend:t}),s=lW({inputs:{x:n},backend:t}),a=Ep({inputs:{input:o},backend:t}),i=hm({inputs:{x:a},backend:t}),p=fo({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return Vt({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var mW={kernelName:na,backendName:\"webgpu\",kernelFunc:lW};function Kue(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Ax({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,\"All tensors passed to stack must have matching shapes\"),y.assert(a===c.dtype,()=>\"All tensors passed to stack must have matching dtypes\")});let i=[],p=e.map(c=>{let l=Ax({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Vv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var dW={kernelName:sa,backendName:\"webgpu\",kernelFunc:Kue};var Yx=class{constructor(e,t){this.variableNames=[\"x\"],this.uniforms=\"constantValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((o,n)=>o[0]+e[n]+o[1]),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((o,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey=\"pad\"}getUserCode(){let e=this.xShape.length,t=Nt(e),o=this.xShape.map((l,m)=>`uniforms.pad${m}[0]`).join(\",\"),n=this.xShape.map((l,m)=>`uniforms.pad${m}[0] + uniforms.xShape${e>1?`[${m}]`:\"\"}`).join(\",\"),s=e>1?`${t}(${o})`:`${o}`,a=e>1?`${t}(${n})`:`${n}`,i=e>1?\"any(outC < start)\":\"outC < start\",p=e>1?\"any(outC >= end)\":\"outC >= end\",u=e>1?[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,e):\"coords\";return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let start = ${s};\n let end = ${a};\n let outC = getCoordsFromIndex(index);\n\n if (${i} || ${p}) {\n setOutputAtIndex(index, uniforms.constantValue);\n } else {\n let coords = outC - start;\n setOutputAtIndex(index, getX(${u}));\n }\n }\n }\n `}};var qv=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(s.every(u=>y.arraysEqual(u,[0,0])))return At({inputs:{x:n},backend:t});if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return Vt({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=[{type:\"float32\",data:[a]}];s.map(u=>i.push({type:\"int32\",data:[u[0],u[1]]}));let p=new Yx(n.shape,s);return t.runWebGPUProgram(p,[n],n.dtype,i)},fW={kernelName:Qn,backendName:\"webgpu\",kernelFunc:qv};var que=et({opType:fe.POW}),hW={kernelName:Zn,backendName:\"webgpu\",kernelFunc:que};function jue(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=new bi(fe.PRELU,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],\"float32\")}var gW={kernelName:Jn,backendName:\"webgpu\",kernelFunc:jue};function Xue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,\"prod\",t)}var xW={kernelName:es,backendName:\"webgpu\",kernelFunc:Xue};var Yue=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=XB(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},yW={kernelName:aa,backendName:\"webgpu\",kernelFunc:Yue};var Que=et({opType:fe.DIV}),bW={kernelName:dn,backendName:\"webgpu\",kernelFunc:Que};var Zue=xe({opType:Q.RECIPROCAL}),CW={kernelName:ts,backendName:\"webgpu\",kernelFunc:Zue};var Jue=xe({opType:Q.RELU}),wW={kernelName:rs,backendName:\"webgpu\",kernelFunc:Jue};var epe=xe({opType:Q.RELU6}),SW={kernelName:ss,backendName:\"webgpu\",kernelFunc:epe};var Qx=class{constructor(e,t,o){this.variableNames=[\"x\"],this.uniforms=\"adjustHeightWidth : vec2, halfPixelCenters : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"resizeBilinear\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let d = coords[3];\n let rc = coords.yz;\n\n let effectiveInSize = vec2(\n f32(uniforms.xShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.xShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveOutSize = vec2(\n f32(uniforms.outShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.outShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveInputOverOutputRatioRC =\n effectiveInSize / effectiveOutSize;\n\n // Fractional source index\n let sourceFracIndexRC =\n (vec2(rc) + vec2(uniforms.halfPixelCenters)) *\n effectiveInputOverOutputRatioRC - vec2(uniforms.halfPixelCenters);\n\n // Compute the four integer indices.\n let sourceFloorRC = vec2(sourceFracIndexRC);\n let sourceCeilRC = vec2(\n min(vec2(uniforms.xShape.yz) - vec2(1.0), ceil(sourceFracIndexRC)));\n\n let topLeft = getX(b, sourceFloorRC.x, sourceFloorRC.y, d);\n let bottomLeft = getX(b, sourceCeilRC.x, sourceFloorRC.y, d);\n let topRight = getX(b, sourceFloorRC.x, sourceCeilRC.y, d);\n let bottomRight = getX(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n let fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n let top = topLeft + (topRight - topLeft) * fracRC.y;\n let bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n let newValue = top + (bottom - top) * fracRC.x;\n\n setOutputAtIndex(index, newValue);\n }\n }\n `}};function tpe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,size:a,halfPixelCenters:i}=o,[p,u]=a,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:\"float32\",data:[c,l]},{type:\"float32\",data:[i?.5:0]}],f=new Qx(n.shape,p,u);return t.runWebGPUProgram(f,[n],\"float32\",d)}var IW={kernelName:ns,backendName:\"webgpu\",kernelFunc:tpe};var Zx=class{constructor(e,t){this.variableNames=[\"dy\"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, heightScale : f32, widthScale : f32,\n invHeightScale : f32, invWidthScale : f32, winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeBilinearBackprop_${t}`}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let b = coords[0];\n let d = coords[3];\n let r = coords[1];\n let c = coords[2];\n\n var accumulator = 0.0;\n\n // Compute bounds for where in dy we will look\n let startRLerp = floor(f32(r) * uniforms.invHeightScale);\n let startDyR = i32(startRLerp - f32(uniforms.winHeight / 2));\n\n let startCLerp = floor(f32(c) * uniforms.invWidthScale);\n let startDyC = i32(startCLerp - f32(uniforms.winWidth / 2));\n\n // Loop over dy\n for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) {\n let dyR = startDyR + dyROffset;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= uniforms.dyShape[1]) {\n continue;\n }\n\n for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) {\n let dyC = startDyC + dyCOffset;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= uniforms.dyShape[2]) {\n continue;\n }\n\n let dxR = f32(dyR) * uniforms.heightScale;\n let topDxRIndex = i32(floor(dxR));\n let bottomDxRIndex = i32(min(ceil(dxR), f32(uniforms.outShape[1] - 1)));\n let dxRLerp = dxR - f32(topDxRIndex);\n let inverseDxRLerp = 1.0 - dxRLerp;\n\n let dxC = f32(dyC) * uniforms.widthScale;\n let leftDxCIndex = i32(floor(dxC));\n let rightDxCIndex = i32(min(ceil(dxC), f32(uniforms.outShape[2] - 1)));\n let dxCLerp = dxC - f32(leftDxCIndex);\n let inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutputAtIndex(index, accumulator);\n }\n }\n `}};function rpe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,[,i,p]=n.shape,[,u,c]=s.shape,l=[a&&u>1?i-1:i,a&&c>1?p-1:p],m=[a&&u>1?u-1:u,a&&c>1?c-1:c],d=l[0]/m[0],f=l[1]/m[1],h=1/d,g=1/f,x=Math.ceil(h)*2+2,b=Math.ceil(g)*2+2,w=new Zx(n.shape,a),S=[{type:\"int32\",data:l},{type:\"int32\",data:m},{type:\"float32\",data:[d]},{type:\"float32\",data:[f]},{type:\"float32\",data:[h]},{type:\"float32\",data:[g]},{type:\"int32\",data:[x]},{type:\"int32\",data:[b]}];return t.runWebGPUProgram(w,[s],s.dtype,S)}var vW={kernelName:qa,backendName:\"webgpu\",kernelFunc:rpe};var Jx=class{constructor(e,t,o,n){this.variableNames=[\"x\"],this.uniforms=\"adjustHeightWidth : vec2, roundBase : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e=\"max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))\":e=\"vec2(rc) * effectiveInputOverOutputRatioRC\",`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let b = coords[0];\n let d = coords[3];\n let rc = coords.yz;\n\n let effectiveInSize = vec2(\n f32(uniforms.xShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.xShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveOutSize = vec2(\n f32(uniforms.outShape.y) - uniforms.adjustHeightWidth[0],\n f32(uniforms.outShape.z) - uniforms.adjustHeightWidth[1]);\n\n let effectiveInputOverOutputRatioRC =\n effectiveInSize / effectiveOutSize;\n\n // Fractional source index\n let sourceFracIndexRC = ${e};\n\n // Compute the coordinators of nearest neighbor point.\n let inputShapeRC = vec2(f32(uniforms.xShape.y), f32(uniforms.xShape.z));\n let sourceNearestRC = vec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + uniforms.roundBase)));\n let newValue = getX(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutputAtIndex(index, newValue);\n }\n }\n `}};function ope(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:\"float32\",data:[c,l]},{type:\"float32\",data:[s?.5:0]}],f=new Jx(n.shape,p,u,a);return t.runWebGPUProgram(f,[n],n.dtype,d)}var kW={kernelName:os,backendName:\"webgpu\",kernelFunc:ope};var ey=class{constructor(e,t){this.variableNames=[\"dy\"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, invHeightScale : f32, invWidthScale : f32,\n winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeNearestNeigborBackprop_${t}`}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getOutputCoords();\n let b = coords[0];\n let d = coords[3];\n let r = coords[1];\n let c = coords[2];\n\n var accumulator = 0.0;\n\n // Compute bounds for where in dy we will look\n let startRLerp = floor(f32(r) * uniforms.invHeightScale);\n let startDyR = i32(floor(startRLerp - f32(uniforms.winHeight / 2)));\n\n let startCLerp = floor(f32(c) * uniforms.invWidthScale);\n let startDyC = i32(floor(startCLerp - f32(uniforms.winWidth / 2)));\n\n // Loop over dy\n for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) {\n let dyR = startDyR + dyROffset;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= uniforms.dyShape[1]) {\n continue;\n }\n\n for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) {\n let dyC = startDyC + dyCOffset;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= uniforms.dyShape[2]) {\n continue;\n }\n\n let sourceFracRow = f32(uniforms.effectiveXSize[0]) *\n (f32(dyR) / f32(uniforms.effectiveYSize[0]));\n\n let sourceFracCol = f32(uniforms.effectiveXSize[1]) *\n (f32(dyC) / f32(uniforms.effectiveYSize[1]));\n\n let sourceNearestRow =\n i32(min(f32(uniforms.outShape[1] - 1),\n ${this.alignCorners?\"floor(sourceFracRow + 0.5)\":\"floor(sourceFracRow)\"}));\n\n let sourceNearestCol =\n i32(min(f32(uniforms.outShape[2] - 1),\n ${this.alignCorners?\"floor(sourceFracCol + 0.5)\":\"floor(sourceFracCol)\"}));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutputAtIndex(index, accumulator);\n }\n }\n `}};function npe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,[,i,p]=n.shape,[,u,c]=s.shape,l=[a&&u>1?i-1:i,a&&c>1?p-1:p],m=[a&&u>1?u-1:u,a&&c>1?c-1:c],d=l[0]/m[0],f=l[1]/m[1],h=1/d,g=1/f,x=Math.ceil(h)*2+2,b=Math.ceil(g)*2+2,w=new ey(n.shape,a),S=[{type:\"int32\",data:l},{type:\"int32\",data:m},{type:\"float32\",data:[h]},{type:\"float32\",data:[g]},{type:\"int32\",data:[x]},{type:\"int32\",data:[b]}];return t.runWebGPUProgram(w,[s],s.dtype,S)}var NW={kernelName:Ka,backendName:\"webgpu\",kernelFunc:npe};var ty=class{constructor(e){this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=\" axis : vec4,\",this.shaderKey=\"reverse\"}getUserCode(){return`\n \n // Using uniform variables as judging conditions, so the function has\n // coherent execution within all threads.\n fn getReverseCoords(coords : vec4) -> vec4 {\n var reverseCoords = coords;\n if (uniforms.axis[0] == 1) {\n reverseCoords[0] = uniforms.xShape[0] - coords[0] - 1;\n }\n if (uniforms.axis[1] == 1) {\n reverseCoords[1] = uniforms.xShape[1] - coords[1] - 1;\n }\n if (uniforms.axis[2] == 1) {\n reverseCoords[2] = uniforms.xShape[2] - coords[2] - 1;\n }\n if (uniforms.axis[3] == 1) {\n reverseCoords[3] = uniforms.xShape[3] - coords[3] - 1;\n }\n\n return reverseCoords;\n }\n \n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let reverseCoords = getReverseCoords(coords);\n setOutputAtIndex(index, getX(reverseCoords[0],\n reverseCoords[1], reverseCoords[2], reverseCoords[3]));\n }\n }\n `}};function spe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length;if(a===0)return At({inputs:{x:n},backend:t});let i=n.shape,p=[1,1,1,1];i.forEach((g,x)=>{let b=x+4-a;p[b]=g});let u=y.parseAxisParam(s,n.shape),c=[0,0,0,0];u.forEach(g=>{let x=g+4-a;c[x]=1});let l=[{type:\"int32\",data:c}],m=pe({inputs:{x:n},backend:t,attrs:{shape:p}}),d=new ty(p),f=t.runWebGPUProgram(d,[m],m.dtype,l);t.disposeData(m.dataId);let h=pe({inputs:{x:f},backend:t,attrs:{shape:i}});return t.disposeData(f.dataId),h}var TW={kernelName:as,backendName:\"webgpu\",kernelFunc:spe};var ry=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"x\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32,\n cosRadians : f32,`,this.shaderKey=\"rotate\",this.outputShape=e,typeof t==\"number\"?(this.uniforms+=\" fillValue : f32,\",this.fillSnippet=\"var outputValue = uniforms.fillValue;\",this.shaderKey+=\"_float\"):(this.uniforms+=\" fillValue : vec3,\",this.fillSnippet=\"var outputValue = uniforms.fillValue[coords[3]];\",this.shaderKey+=\"_vec3\")}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let coordXFloat = (f32(coords[2]) - uniforms.centerX) *\n uniforms.cosRadians - (f32(coords[1]) - uniforms.centerY) *\n uniforms.sinRadians;\n let coordYFloat = (f32(coords[2]) - uniforms.centerX) *\n uniforms.sinRadians + (f32(coords[1]) - uniforms.centerY) *\n uniforms.cosRadians;\n let coordX = i32(round(coordXFloat + uniforms.centerX));\n let coordY = i32(round(coordYFloat + uniforms.centerY));\n ${this.fillSnippet}\n if(coordX >= 0 && coordX < uniforms.xShape[2] && coordY >= 0 &&\n coordY < uniforms.xShape[1]) {\n outputValue = getX(coords[0], coordY, coordX, coords[3]);\n }\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};var _W={kernelName:_s,backendName:\"webgpu\",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new ry(o.shape,s),[u,c]=C.getImageCenter(a,o.shape[1],o.shape[2]),l=[{type:\"float32\",data:[u]},{type:\"float32\",data:[c]},{type:\"float32\",data:[Math.sin(n)]},{type:\"float32\",data:[Math.cos(n)]}];return typeof s==\"number\"?l.push({type:\"float32\",data:[Number.parseFloat(s.toFixed(2))]}):l.push({type:\"float32\",data:s}),i.runWebGPUProgram(p,[o],o.dtype,l)}};var ape=xe({opType:Q.ROUND}),$W={kernelName:is,backendName:\"webgpu\",kernelFunc:ape};var ipe=xe({opType:Q.RSQRT,cpuKernelImpl:YB}),EW={kernelName:us,backendName:\"webgpu\",kernelFunc:ipe};var Aa=class{constructor(e,t,o,n,s,a,i,p=!0){this.variableNames=[\"updates\",\"indices\"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=a,this.type=i,this.sumDupeIndices=p,this.dispatchLayout=Z(e),this.dispatch=q(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`;let u=Nt(s.length);this.uniforms=`sliceDim : i32, strides: ${u}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=o}getUserCode(){let e=\"\";this.indicesRank===1?e=\"coords[0]\":this.indicesRank===2&&(e=\"coords[0], j\");let t=`getIndices(${e})`,o=this.sliceDimGreaterThanOne?\"uniforms.strides[j]\":\"uniforms.strides\",n=\"\",s=\"\";this.dispatchLayout.x.length===1?(n=\"flattenedIndex\",s=`\n fn getUpdatesCoordsFromFlatIndex(index : i32) -> i32 {\n return index;\n }\n `):this.dispatchLayout.x.length===2&&(n=\"vec2(flattenedIndex, coords[1])\",s=`\n fn getUpdatesCoordsFromFlatIndex(index : i32) -> vec2 {\n // N.B. |updates| could be a scalar tensor, conceptually representing a\n // 2D tensor with all values equal to that. By design, its size must be\n // the same as |outShape[1]| in one dimension, and |indicesShape[0]|\n // gives the other.\n let sliceSize = uniforms.outShape[1];\n let d0 = index / sliceSize;\n let d1 = index - d0 * sliceSize;\n return vec2(d0, d1);\n }\n `);let i=`getUpdates(${Array.from({length:this.updatesRank},(u,c)=>`coords[${c}]`).join(\", \")})`;return`\n ${s}\n ${K(\"index\")} {\n if (index < uniforms.updatesSize) {\n let coords = getUpdatesCoordsFromFlatIndex(index);\n var flattenedIndex = 0;\n for (var j = 0; j < uniforms.sliceDim; j = j + 1) {\n let indexInside = i32(round(${t}));\n flattenedIndex = flattenedIndex + indexInside * ${o};\n }\n let updateValue =\n ${kp(this.type)}(${i});\n let flatIndex = getOutputIndexFromCoords(${n});\n\n ${this.sumDupeIndices?Bs(\"&result[flatIndex]\",\"updateValue\",this.type):\"atomicStore(&result[flatIndex], bitcast(updateValue));\"}\n }\n }`}};function upe(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=pe({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=pe({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=f.dtype,g=Vt({backend:t,attrs:{shape:m,value:0,dtype:h}}),x=y.sizeFromShape(f.shape),b=[{type:\"int32\",data:[i]},{type:\"int32\",data:c},{type:\"int32\",data:[x]}],w=new Aa(f.shape,i,d.shape.length,f.shape.length,c,m,h),S=t.runWebGPUProgram(w,[f,d],h,b,g),k=pe({inputs:{x:S},backend:t,attrs:{shape:a}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(S.dataId),k}var RW={kernelName:ps,backendName:\"webgpu\",kernelFunc:upe};var oy=class{constructor(e,t){this.outputShape=[],this.variableNames=[\"sortedSequence\",\"values\"],this.uniforms=\"numInputs : i32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return`\n fn findBound(batch: i32, value: f32) -> i32 {\n var left = i32(0);\n var right = uniforms.numInputs;\n while (left < right) {\n var mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) ${this.side===\"left\"?\"<\":\"<=\"} value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n let value = getValuesByOutputIndex(index);\n setOutputAtIndexI32(index, findBound(coords[0], value));\n }\n }\n `}};function ppe(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new oy([s.shape[0],s.shape[1]],a),p=[{type:\"int32\",data:[n.shape[1]]}];return t.runWebGPUProgram(i,[n,s],\"int32\",p)}var DW={kernelName:ls,backendName:\"webgpu\",kernelFunc:ppe};var ny=class{constructor(e,t,o){this.variableNames=[\"c\",\"a\",\"b\"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.cRank=e,this.rank=o,this.shaderKey=\"select\"}getUserCode(){let e,t;if(this.rank>4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t=\"resRC\",e=\"resRC\";else{let n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],s=[],a=[];for(let i=0;i= 1.0) {\n setOutputAtIndex(index, getA(${t}));\n } else {\n setOutputAtIndex(index, getB(${t}));\n }\n }\n }\n `}};function cpe(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=new ny(o.shape.length,n.shape,n.shape.length);return t.runWebGPUProgram(a,[o,n,s],dt(n.dtype,s.dtype))}var AW={kernelName:ua,backendName:\"webgpu\",kernelFunc:cpe};var lpe=xe({opType:Q.SELU}),FW={kernelName:ms,backendName:\"webgpu\",kernelFunc:lpe};var mpe=xe({opType:Q.SIGMOID}),PW={kernelName:hs,backendName:\"webgpu\",kernelFunc:mpe};var dpe=xe({opType:Q.SIGN}),OW={kernelName:fs,backendName:\"webgpu\",kernelFunc:dpe};var fpe=xe({opType:Q.SIN}),MW={kernelName:ds,backendName:\"webgpu\",kernelFunc:fpe};var hpe=xe({opType:Q.SINH}),LW={kernelName:ja,backendName:\"webgpu\",kernelFunc:hpe};var gpe=xe({opType:Q.SOFTPLUS}),BW={kernelName:gs,backendName:\"webgpu\",kernelFunc:gpe};var xpe=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>\"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet\");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeData(x.dataId)),g},zW={kernelName:ca,backendName:\"webgpu\",kernelFunc:xpe};var sy=class{constructor(e,t){this.variableNames=[\"A\"],this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n=5)throw Error(`Tile for rank ${r} is not yet supported`);if(r===1)return`(resRC % ${e}aShape)`;let t=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[];for(let n=0;n=5){let p=t.readSync(n.dataId),u=n.dtype===\"string\"?p.map(m=>y.decodeString(m)):p,c=me(n.shape,n.dtype,u),l=oz(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new sy(n.shape,s);return t.runWebGPUProgram(a,[n],n.dtype)}var VW={kernelName:so,backendName:\"webgpu\",kernelFunc:gm};function bpe(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1;if(s.dtype===\"string\"){let R=t.bufferSync(n),D=t.bufferSync(s),F=y.decodeString(t.readSync(a.dataId)[0]),O=QB(R,D,i,m,c,u,p,l,F,d);return t.makeTensorInfo(i,O.dtype,O.values)}let f=[m/c,c],h=pe({inputs:{x:n},backend:t,attrs:{shape:[u,p]}}),g=s.shape.length?pe({inputs:{x:s},backend:t,attrs:{shape:[u,c]}}):At({inputs:{x:s},backend:t}),x=g.dtype,b=t.makeTensorInfo([],x,y.makeZerosTypedArray(1,x)),w=pe({inputs:{x:a},backend:t,attrs:{shape:Array(f.length).fill(1)}}),S=gm({inputs:{x:w},backend:t,attrs:{reps:f}}),k=y.sizeFromShape([u,c]),_=[{type:\"int32\",data:[p]},{type:\"int32\",data:l},{type:\"int32\",data:[k]}];switch(u){case 0:break;case 1:{let R=new Aa([u,c],p,h.shape.length,g.shape.length,l,f,x,d);t.runWebGPUProgram(R,[g,h],x,_,S)}break;default:{let R=new Aa([u,c],p,h.shape.length,b.shape.length,l,f,x,d);t.runWebGPUProgram(R,[b,h],x,_,S)}{let R=new Aa([u,c],p,h.shape.length,g.shape.length,l,f,x);t.runWebGPUProgram(R,[g,h],x,_,S)}}let E=pe({inputs:{x:S},backend:t,attrs:{shape:i}});return t.disposeData(h.dataId),t.disposeData(g.dataId),t.disposeData(w.dataId),t.disposeData(b.dataId),t.disposeData(S.dataId),E}var WW={kernelName:Cs,backendName:\"webgpu\",kernelFunc:bpe};function Cpe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=zs({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var UW={kernelName:la,backendName:\"webgpu\",kernelFunc:Cpe};var wpe=xe({opType:Q.SQRT}),GW={kernelName:xs,backendName:\"webgpu\",kernelFunc:wpe};var HW={kernelName:Gi,backendName:\"webgpu\",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e,n=new Xr(t.shape,Q.SQUARE);return o.runWebGPUProgram(n,[t],t.dtype)}};var Spe=et({opType:fe.SQUARED_DIFFERENCE}),KW={kernelName:ws,backendName:\"webgpu\",kernelFunc:Spe};function Ipe({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=new Xr(o.shape,Q.STEP,\"stepAlpha : f32,\"),s=[{type:\"float32\",data:[e.alpha]}];return t.runWebGPUProgram(n,[o],o.dtype,s)}var qW={kernelName:yo,backendName:\"webgpu\",kernelFunc:Ipe};var ay=class{constructor(e){this.variableNames=[\"x\"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=Nt(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey=\"stridedSlice\"}getUserCode(){let e=this.outputShape.length,t=\"\";if(e===1)t=\"coords * uniforms.strides + uniforms.begin\";else{let n=0;t=this.outputShape.map((s,a)=>(n++,this.outputShape.length===1?`coords * uniforms.strides[${a}] + uniforms.begin[${a}]`:`coords[${n-1}] * uniforms.strides[${a}] + uniforms.begin[${a}]`)).join(\",\")}return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n setOutputAtIndex(index, getX(${t}));\n }\n }\n `}};function vpe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=pe({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=zs({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=pe({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeData(E.dataId)}else if(t.shouldExecuteOnCPU([n])){let E=t.readSync(n.dataId),R=me(n.shape,n.dtype,E),D=ez(d,R,S,b);k=t.makeTensorInfo(f,n.dtype,D.values)}else{let E=new ay(d),R=[{type:\"int32\",data:b},{type:\"int32\",data:S}],D=t.runWebGPUProgram(E,[n],n.dtype,R);k=pe({inputs:{x:D},backend:t,attrs:{shape:f}}),t.disposeData(D.dataId)}return k}var jW={kernelName:Ss,backendName:\"webgpu\",kernelFunc:vpe};function kpe(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=tz(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],\"string\",f),t.makeTensorInfo(l.shape,\"int32\",h)]}var XW={kernelName:ma,backendName:\"webgpu\",kernelFunc:kpe};var Npe=et({opType:fe.SUB,cpuKernelImpl:rz,supportsComplex:!0}),YW={kernelName:Is,backendName:\"webgpu\",kernelFunc:Npe};var Tpe=xe({opType:Q.TAN}),QW={kernelName:vs,backendName:\"webgpu\",kernelFunc:Tpe};var _pe=xe({opType:Q.TANH}),ZW={kernelName:ks,backendName:\"webgpu\",kernelFunc:_pe};function $pe(r){let{inputs:e,backend:t,attrs:o}=r,{tensor:n,indices:s,updates:a}=e,{}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(a,s,n.shape),m=[l/u,u];if(l===0)return t.makeTensorInfo(n.shape,s.dtype);let d=[],f=pe({inputs:{x:s},backend:t,attrs:{shape:[p,i]}});d.push(f);let h=pe({inputs:{x:a},backend:t,attrs:{shape:[p,u]}});d.push(h);let g=pe({inputs:{x:n},backend:t,attrs:{shape:m}});d.push(g);let x=gm({inputs:{x:g},backend:t,attrs:{reps:Array(m.length).fill(1)}}),b=new Aa([p,u],i,f.shape.length,h.shape.length,c,m,n.dtype,!1),w=y.sizeFromShape([p,u]),S=[{type:\"int32\",data:[i]},{type:\"int32\",data:c},{type:\"int32\",data:[w]}],k=t.runWebGPUProgram(b,[h,f],g.dtype,S,x);d.push(k);let _=pe({inputs:{x:k},backend:t,attrs:{shape:n.shape}});return d.forEach(E=>t.disposeData(E.dataId)),_}var JW={kernelName:cs,backendName:\"webgpu\",kernelFunc:$pe};var iy=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32,\n dir : i32, inc : i32,`,this.shaderKey=\"swap\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let outC = getCoordsFromIndex(index);\n let batch = outC[0];\n let elemIdx = outC[1];\n // We compare elements pair-wise within a group of size 2 * inc.\n // The comparing rule for each group alternates between ascending\n // and descending. Within each group, we compare each pair at\n // positions i and i+inc. To decide whether an element at position i\n // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n // inc, it is in the first half of the group, we denote it as x0,\n // otherwise we denote it as x1.\n // For example, as shown in the Bitonic top K paper referenced\n // above, Figure5(a) shows that element[1] is in the second half of\n // the group when group size is 2, but it is in the first half of\n // the group when group size is 4.\n let isFirstInPair = elemIdx % (2 * uniforms.inc) < uniforms.inc;\n var i = 0;\n if (isFirstInPair) {\n i = elemIdx;\n } else {\n i = elemIdx - uniforms.inc;\n }\n\n var i0 = 0;\n if (uniforms.firstPass == 1) {\n i0 = i;\n } else {\n i0 = i32(getIndices(batch, i));\n }\n\n var i1 = 0;\n if (uniforms.firstPass == 1) {\n i1 = i + uniforms.inc;\n } else {\n i1 = i32(getIndices(batch, i + uniforms.inc));\n }\n\n var x0 = f32(0.0);\n var x1 = f32(0.0);\n if (i0 < uniforms.inputSize) {\n x0 = getX(batch, i0);\n } else {\n x0 = uniforms.negativeInf;\n }\n if (i1 < uniforms.inputSize) {\n x1 = getX(batch, i1);\n } else {\n x1 = uniforms.negativeInf;\n }\n\n let reverse = elemIdx % (2 * uniforms.dir) >= uniforms.dir;\n let isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n if (reverse == isGreater) {\n // Elements in opposite order of direction\n let iTemp = i0;\n i0 = i1;\n i1 = iTemp;\n }\n if (isFirstInPair) {\n setOutputAtIndex(index, f32(i0));\n } else {\n setOutputAtIndex(index, f32(i1));\n }\n }\n }\n `}},uy=class{constructor(e){this.variableNames=[\"x\",\"indices\"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=\"inputSize : i32, firstPass : i32, k : i32,\",this.shaderKey=\"merge\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let outC = getCoordsFromIndex(index);\n let batch = outC[0];\n let elemIdx = outC[1];\n // The output size is half of the previous size.\n // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _\n // (k=4), we only need to output the indices at positions |, the\n // indices at positions _ can be thrown away, see Figure5(b) After\n // Phase 2 (Merge phase) in the Bitonic Top K paper referenced\n // above.\n // For example, the paper shows we only need to output the orange\n // bars. The output sequence should look like this | | | | | | | |.\n // Because the sequence is halved, to map the output index back to\n // the previous sequence to find the corresponding value, we need\n // to double the index. When we double the index, we basically\n // interpolate a position, so 2i looks like\n // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k\n // position of each 2k positions by - elemIdx % k. E.g. for output\n // at index 4,5,6,7, we want to get the corresponding element at\n // original index 8,9,10,11, for output at index 8,9,10,11,\n // we want to get the corresponding element at original index\n // 16,17,18,19, so on and so forth.\n\n var i = 0;\n if (elemIdx < uniforms.k) {\n i = elemIdx;\n } else {\n i = elemIdx * 2 - elemIdx % uniforms.k;\n }\n var i0 = 0;\n if (uniforms.firstPass == 1) {\n i0 = i;\n } else {\n i0 = i32(getIndices(batch, i));\n }\n var i1 = 0;\n if (uniforms.firstPass == 1) {\n i1 = i + uniforms.k;\n } else {\n i1 = i32(getIndices(batch, i + uniforms.k));\n }\n\n let x0 = getX(batch, i0);\n var x1 = f32(0.0);\n if (i1 < uniforms.inputSize) {\n x1 = getX(batch, i1);\n } else {\n x1 = x0;\n }\n\n if (x0 >= x1) {\n setOutputAtIndex(index, f32(i0));\n } else {\n setOutputAtIndex(index, f32(i1));\n }\n }\n }\n `}};function Jc(r,e){e!==null&&r.disposeData(e.dataId)}function eU(r){let e=1;for(;ef===null?[l,l]:[l,f],g=(k,_,E)=>{let R=h(),D=new iy(E),O=[{type:\"int32\",data:[p]},{type:\"int32\",data:[f===null?1:0]},{type:\"float32\",data:[Number.NEGATIVE_INFINITY]},{type:\"int32\",data:[k]},{type:\"int32\",data:[_]}],M=f;f=t.runWebGPUProgram(D,R,\"int32\",O),Jc(t,M)};for(let k=1;k=1;E/=2)g(_,E,[c,d])}for(let k=d;k>m;k/=2){let _=h(),E=new uy([c,k/2]),D=[{type:\"int32\",data:[p]},{type:\"int32\",data:[f===null?1:0]},{type:\"int32\",data:[m]}],F=f;f=t.runWebGPUProgram(E,_,\"int32\",D),Jc(t,F);let O=m/2,M=O*2;for(let L=O;L>=1;L/=2)g(M,L,f.shape)}let x=f;f=zs({inputs:{x:f},backend:t,attrs:{begin:0,size:[c,s]}}),Jc(t,x);let b=Hv({inputs:{x:l,indices:f},backend:t,attrs:{axis:1,batchDims:1}});Jc(t,l);let w=i.slice(0,-1);w.push(s),x=f,f=pe({inputs:{x:f},attrs:{shape:w},backend:t}),Jc(t,x);let S=b;return b=pe({inputs:{x:b},attrs:{shape:w},backend:t}),Jc(t,S),[b,f]}var tU={kernelName:Ns,backendName:\"webgpu\",kernelFunc:Epe};var py=class{constructor(e){this.variableNames=[\"Image\",\"Transforms\"],this.uniforms=\"interpolationModeId : i32, fillModeId : i32, fillValue : f32,\",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=\"transform\"}getUserCode(){return`\n fn mapCoord(outCoord : f32, len : f32) -> f32{\n var inCoord = outCoord;\n if(uniforms.fillModeId == 2) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz2 = 2.0 * len;\n if (inCoord < sz2) {\n inCoord = sz2 * f32(i32(f32(-inCoord / sz2))) +\n inCoord;\n }\n if (inCoord < -len) {\n inCoord = inCoord + sz2;\n } else {\n inCoord = -inCoord - 1.0;\n }\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz2 = 2.0 * len;\n inCoord = inCoord - sz2 * f32(i32(f32(inCoord / sz2)));\n if (inCoord >= len) {\n inCoord = sz2 - inCoord - 1.0;\n }\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (uniforms.fillModeId == 3) {\n if (inCoord < 0.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz = len - 1.0;\n inCoord = inCoord + len * (f32(i32(f32(-inCoord / sz))) + 1.0);\n }\n } else if (inCoord > len - 1.0) {\n if (len <= 1.0) {\n inCoord = 0.0;\n } else {\n let sz = len - 1.0;\n inCoord = inCoord - len * f32(i32(f32(inCoord / sz)));\n }\n }\n return clamp(inCoord, 0.0, len - 1.0);\n } else if (uniforms.fillModeId == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n }\n return outCoord;\n }\n fn readWithFillValue(batch : i32, coordY : i32, coordX : i32,\n channel : i32) -> f32 {\n var outputValue : f32;\n if (0 <= coordY && coordY < uniforms.imageShape[1] && 0 <= coordX && coordX < uniforms.imageShape[2]) {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = uniforms.fillValue;\n }\n return outputValue;\n }\n\n ${K(\"index\")} {\n if (index < uniforms.size) {\n let coords = getCoordsFromIndex(index);\n var outputValue : f32;\n let batch = coords[0];\n let x = coords[2];\n let y = coords[1];\n let channel = coords[3];\n let xf = f32(x);\n let yf = f32(y);\n let a1 = getTransforms(batch, 0);\n let a2 = getTransforms(batch, 1);\n let a3 = getTransforms(batch, 2);\n let b1 = getTransforms(batch, 3);\n let b2 = getTransforms(batch, 4);\n let b3 = getTransforms(batch, 5);\n let c1 = getTransforms(batch, 6);\n let c2 = getTransforms(batch, 7);\n let projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = uniforms.fillValue;\n } else {\n let inX = (a1 * xf + a2 * yf + a3) / projection;\n let inY = (b1 * xf + b2 * yf + b3) / projection;\n let mapX = mapCoord(inX, f32(uniforms.imageShape[2]));\n let mapY = mapCoord(inY, f32(uniforms.imageShape[1]));\n\n if (uniforms.interpolationModeId == 1) {\n let coordY = i32(round(mapY));\n let coordX = i32(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n let yFloor = floor(mapY);\n let xFloor = floor(mapX);\n let yCeil = yFloor + 1.0;\n let xCeil = xFloor + 1.0;\n let valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, i32(yFloor), i32(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, i32(yFloor), i32(xCeil), channel);\n let valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, i32(yCeil), i32(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, i32(yCeil), i32(xCeil), channel);\n outputValue = (yCeil - mapY) * valueYFloor +\n (mapY - yFloor) * valueYCeil;\n }\n }\n setOutputAtIndex(index, outputValue);\n }\n }\n `}};function Rpe(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new py(g),b=a===\"nearest\"?1:2,w;switch(i){case\"constant\":w=1;break;case\"reflect\":w=2;break;case\"wrap\":w=3;break;case\"nearest\":w=4;break;default:w=1;break}let S=[{type:\"int32\",data:[b]},{type:\"int32\",data:[w]},{type:\"float32\",data:[p]}];return t.runWebGPUProgram(x,[n,s],\"float32\",S)}var rU={kernelName:Ts,backendName:\"webgpu\",kernelFunc:Rpe};function Dpe(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeData(h.dataId)),f}var oU={kernelName:da,backendName:\"webgpu\",kernelFunc:Dpe};var cy=class{constructor(e,t,o){if(this.outputShape=[],this.variableNames=[\"x\",\"segmentIds\"],this.uniforms=\"numSegments : i32, xSize: i32,\",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=t,this.dispatchLayout=Z(e),this.dispatch=q(this.dispatchLayout,e,this.workgroupSize),o!==\"float32\"&&o!==\"int32\")throw new Error(`UnsortedSegmentSum only supports float32 and int32\n types, does not support ${o} type.`);this.type=o,this.shaderKey=\"unsortedSegmentSum\"}getUserCode(){return`\n ${K(\"index\")} {\n if (index < uniforms.xSize) {\n let coords = getXCoordsFromIndex(index);\n let b = coords[0];\n let inCol = coords[1];\n\n let segmentId = i32(getSegmentIds(inCol));\n if (segmentId >= 0) {\n let flatIndex = b * uniforms.numSegments + segmentId % uniforms.numSegments;\n let value = getX(b, inCol);\n\n ${Bs(\"&result[flatIndex]\",\"value\",this.type)}\n }\n }\n }\n `}};function Ape(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,segmentIds:s}=e,{numSegments:a}=o,i=n.shape.length,p=[],u=0,c=C.getAxesPermutation([u],i),l=n;c!=null&&(l=rr({inputs:{x:n},backend:t,attrs:{perm:c}}),p.push(l),u=C.getInnerMostAxes(1,i)[0]);let m=C.segment_util.computeOutShape(l.shape,u,a),d=y.sizeFromShape([l.shape[u]]),f=pe({inputs:{x:l},backend:t,attrs:{shape:[-1,d]}});p.push(f);let h=n.dtype,g=[f.shape[0],a],x=Vt({backend:t,attrs:{shape:g,value:0,dtype:h}}),b=new cy(f.shape,g,h),w=[{type:\"int32\",data:[a]},{type:\"int32\",data:[y.sizeFromShape(f.shape)]}],S=t.runWebGPUProgram(b,[f,s],h,w,x),k=pe({inputs:{x:S},backend:t,attrs:{shape:m}});p.push(S);let _=k;if(c!=null){p.push(k);let E=C.getUndoAxesPermutation(c);_=rr({inputs:{x:_},backend:t,attrs:{perm:E}})}return p.forEach(E=>t.disposeData(E.dataId)),_}var nU={kernelName:ji,backendName:\"webgpu\",kernelFunc:Ape};var Fpe=[IB,az,iz,uz,pz,cz,mz,dz,fz,hz,gz,xz,yz,bz,Cz,Iz,vz,kz,Nz,Tz,$z,Ez,Rz,Pz,Oz,Mz,kB,Bz,Vz,Wz,Uz,Gz,Hz,Kz,qz,jz,Xz,Yz,Jz,eV,tV,rV,nV,sV,oV,aV,iV,uV,pV,mV,dV,fV,hV,gV,xV,yV,bV,CV,wB,wV,vV,SV,IV,kV,NV,TV,_V,$V,EV,RV,vB,DV,zz,AV,FV,PV,OV,MV,LV,BV,VV,zV,WV,UV,GV,KV,qV,wz,jV,XV,ZV,YV,QV,JV,Sz,eW,tW,rW,oW,sW,cV,aW,iW,uW,Dz,pW,mW,dW,fW,hW,gW,xW,yW,Az,bW,CW,wW,SW,SB,IW,vW,kW,NW,TW,_W,$W,EW,RW,DW,AW,FW,PW,OW,MW,LW,_z,qW,jW,XW,nW,BW,zW,WW,UW,GW,HW,KW,YW,lV,QW,ZW,JW,VW,tU,rU,lz,oU,nU,cW];for(let r of Fpe)Ya(r);var sU=\"4.5.0\",Ppe=\"4.5.0\",Ope=\"4.5.0\",Mpe=\"4.5.0\",Lpe=\"4.5.0\",Bpe=\"0.0.1-alpha.20\",zpe={tfjs:sU,\"tfjs-core\":sU,\"tfjs-converter\":Ppe,\"tfjs-backend-cpu\":Ope,\"tfjs-backend-webgl\":Mpe,\"tfjs-backend-wasm\":Lpe,\"tfjs-backend-webgpu\":Bpe};export{Gs as Abs,zo as Acos,Vo as Acosh,Yu as AdadeltaOptimizer,Qu as AdagradOptimizer,Zu as AdamOptimizer,Ju as AdamaxOptimizer,no as Add,Wo as AddN,Uo as All,Go as Any,Hs as ArgMax,Ks as ArgMin,Ho as Asin,Ko as Asinh,qo as Atan,Xo as Atan2,jo as Atanh,Yo as AvgPool,qs as AvgPool3D,Ni as AvgPool3DGrad,Gp as AvgPoolGrad,am as BackendWasm,Qo as BatchMatMul,js as BatchToSpaceND,Zo as Bincount,ml as BitwiseAnd,Xs as BroadcastArgs,Kpe as BroadcastTo,ho as Cast,Jo as Ceil,go as ClipByValue,Ti as Complex,_i as ComplexAbs,Ys as Concat,en as Conv2D,$i as Conv2DBackpropFilter,tn as Conv2DBackpropInput,rn as Conv3D,za as Conv3DBackpropFilterV2,on as Conv3DBackpropInputV2,nn as Cos,sn as Cosh,pn as CropAndResize,an as Cumprod,un as Cumsum,Lo as DataStorage,Qs as DenseBincount,cn as DepthToSpace,ln as DepthwiseConv2dNative,Ei as DepthwiseConv2dNativeBackpropFilter,Ri as DepthwiseConv2dNativeBackpropInput,Zs as Diag,mn as Dilation2D,Ai as Dilation2DBackpropFilter,Di as Dilation2DBackpropInput,WC as ENV,Fi as Einsum,fn as Elu,Va as EluGrad,cl as Environment,hn as Equal,Wa as Erf,gn as Exp,Js as ExpandDims,xn as Expm1,Pi as FFT,ea as Fill,yn as FlipLeftRight,bn as Floor,Cn as FloorDiv,$u as FromPixels,wn as FusedBatchNorm,Co as FusedConv2D,wo as FusedDepthwiseConv2D,xp as GPGPUContext,Sn as GatherNd,ta as GatherV2,Ol as GraphModel,In as Greater,vn as GreaterEqual,Oi as IFFT,xo as Identity,Mi as Imag,kn as IsFinite,Nn as IsInf,Tn as IsNan,ro as KernelBackend,Mn as LRN,Ua as LRNGrad,_n as LeakyRelu,$n as Less,En as LessEqual,Rn as LinSpace,Dn as Log,An as Log1p,qpe as LogSoftmax,Fn as LogicalAnd,Pn as LogicalNot,On as LogicalOr,m0 as LogicalXor,jpe as LowerBound,lu as MathBackendCPU,hu as MathBackendWebGL,Xpe as MatrixBandPart,Ln as Max,zn as MaxPool,ra as MaxPool3D,Li as MaxPool3DGrad,Hp as MaxPoolGrad,Bi as MaxPoolWithArgmax,Bn as Maximum,Vn as Mean,Wn as Min,Un as Minimum,Gn as MirrorPad,Ga as Mod,ep as MomentumOptimizer,Hn as Multinomial,Kn as Multiply,oa as Neg,jn as NonMaxSuppressionV3,Ha as NonMaxSuppressionV4,Xn as NonMaxSuppressionV5,qn as NotEqual,pw as OP_SCOPE_SUFFIX,Yn as OneHot,na as OnesLike,kr as Optimizer,Dl as OptimizerConstructors,sa as Pack,Qn as PadV2,Ype as Pool,Zn as Pow,Jn as Prelu,es as Prod,tp as RMSPropOptimizer,Kp as RaggedGather,qp as RaggedRange,jp as RaggedTensorToTensor,aa as Range,JC as Rank,zi as Real,dn as RealDiv,ts as Reciprocal,Et as Reduction,rs as Relu,ss as Relu6,ia as Reshape,ns as ResizeBilinear,qa as ResizeBilinearGrad,os as ResizeNearestNeighbor,Ka as ResizeNearestNeighborGrad,as as Reverse,_s as RotateWithOffset,is as Round,us as Rsqrt,ii as SGDOptimizer,ps as ScatterNd,ls as SearchSorted,ua as Select,ms as Selu,hs as Sigmoid,fs as Sign,ds as Sin,ja as Sinh,pa as Slice,bs as Softmax,gs as Softplus,ca as SpaceToBatchND,Vi as SparseFillEmptyRows,Xa as SparseReshape,Wi as SparseSegmentMean,Ui as SparseSegmentSum,Cs as SparseToDense,la as SplitV,xs as Sqrt,Gi as Square,ws as SquaredDifference,_u as StaticRegexReplace,yo as Step,Ss as StridedSlice,ma as StringNGrams,Hi as StringSplit,Ki as StringToHashBucketFast,Is as Sub,ys as Sum,vs as Tan,ks as Tanh,pt as Tensor,tt as TensorBuffer,cs as TensorScatterUpdate,so as Tile,Ns as TopK,Ts as Transform,ao as Transpose,qi as Unique,da as Unpack,ji as UnsortedSegmentSum,Qpe as UpperBound,Qa as Variable,Cu as WebGPUBackend,fa as ZerosLike,bo as _FusedMatMul,Zt as abs,ik as acos,uk as acosh,be as add,pk as addN,ck as all,lk as any,mk as argMax,dk as argMin,fk as asin,hk as asinh,gk as atan,xk as atan2,yk as atanh,cd as avgPool,wk as avgPool3d,Tme as backend,C as backend_util,Sk as basicLSTMCell,tu as batchNorm,vk as batchNorm2d,kk as batchNorm3d,Nk as batchNorm4d,ld as batchToSpaceND,md as bincount,Tk as bitwiseAnd,qq as booleanMaskAsync,_k as broadcastArgs,ru as broadcastTo,Sr as broadcast_util,MN as browser,me as buffer,Ye as cast,$k as ceil,Ek as clipByValue,Vr as clone,$r as complex,yt as concat,Rk as concat1d,Dk as concat2d,Ak as concat3d,Fk as concat4d,Pk as conv1d,ou as conv2d,Ok as conv2dTranspose,Mk as conv3d,Bk as conv3dTranspose,sce as copyRegisteredKernels,zk as cos,Vk as cosh,_l as cosineWindow,Wk as cumprod,Uk as cumsum,Ir as customGrad,Gk as denseBincount,bw as deprecationWarn,Hk as depthToSpace,ac as depthwiseConv2d,KX as deregisterOp,Zi as device_util,Kk as diag,qk as dilation2d,gme as disableDeprecationWarnings,Ot as dispose,xme as disposeVariables,Ke as div,Xk as divNoNan,Yk as dot,s6 as dropout,Qk as einsum,gd as elu,hme as enableDebugMode,fme as enableProdMode,Pw as enclosingPowerOfTwo,ur as engine,Zk as ensureShape,P as env,hd as equal,Jk as erf,r2 as euclideanNorm,ko as exp,oi as expandDims,o2 as expm1,xd as eye,pc as fft,Sa as fill,kme as findBackend,Nme as findBackendFactory,yd as floor,pd as floorDiv,hD as forceHalfFloat,Ow as fused,bd as gather,o6 as gatherND,of as gather_util,Ime as getBackend,HC as getGradient,fl as getKernel,Km as getKernelsForBackend,ese as getThreadsCount,qI as gpgpu_util,YH as grad,QH as grads,Bu as greater,Cd as greaterEqual,Hu as ifft,su as imag,uj as image,i6 as inTopKAsync,pi as io,Wd as irfft,n2 as isFinite,s2 as isInf,a2 as isNaN,Er as keep,Wt as kernel_impls,wd as leakyRelu,kl as less,ic as lessEqual,pj as linalg,i2 as linspace,W5 as loadGraphModel,U5 as loadGraphModelSync,u2 as localResponseNormalization,ni as log,Sd as log1p,p2 as logSigmoid,c2 as logSoftmax,kd as logSumExp,zu as logicalAnd,Nd as logicalNot,Td as logicalOr,l2 as logicalXor,cj as losses,m2 as lowerBound,Qe as matMul,PN as math,Ia as max,$d as maxPool,d2 as maxPool3d,f2 as maxPoolWithArgmax,Ed as maximum,Vu as mean,yme as memory,h2 as meshgrid,vl as min,Wu as minimum,g2 as mirrorPad,x2 as mod,y2 as moments,Yq as movingAverage,se as mul,b2 as multiRNNCell,C2 as multinomial,pr as neg,Kw as nextFrame,Lu as norm,Rd as notEqual,Tl as oneHot,va as ones,w2 as onesLike,N as op,S2 as outerProduct,ka as pad,I2 as pad1d,v2 as pad2d,k2 as pad3d,N2 as pad4d,T2 as pool,ri as pow,Ad as prelu,ud as print,_2 as prod,bme as profile,$2 as raggedGather,E2 as raggedRange,R2 as raggedTensorToTensor,D2 as rand,J2 as randomGamma,Bd as randomNormal,e1 as randomStandardNormal,uc as randomUniform,t1 as randomUniformInt,au as range,Sme as ready,si as real,r1 as reciprocal,eu as registerBackend,rce as registerGradient,Ya as registerKernel,HX as registerOp,iu as relu,zd as relu6,vme as removeBackend,W as reshape,uo as reverse,o1 as reverse1d,n1 as reverse2d,s1 as reverse3d,a1 as reverse4d,cc as rfft,Vd as round,i1 as rsqrt,ke as scalar,Zq as scatterND,pu as scatter_util,Nl as searchSorted,u1 as selu,p1 as separableConv2d,vN as serialization,wme as setBackend,_me as setPlatform,Jne as setThreadsCount,Qne as setWasmPath,Zne as setWasmPaths,iI as setWebGLContext,c1 as setdiff1dAsync,Sc as shared,wa as sigmoid,l1 as sign,ij as signal,m1 as sin,d1 as sinh,qe as slice,f1 as slice1d,h1 as slice2d,g1 as slice3d,x1 as slice4d,ct as slice_util,y1 as softmax,vd as softplus,Dd as spaceToBatchND,lj as sparse,t6 as sparseToDense,aj as spectral,ai as split,Rr as sqrt,Jt as square,Ud as squaredDifference,lc as squeeze,vr as stack,Gd as step,b1 as stridedSlice,mj as string,Te as sub,ot as sum,Za as sumOutType,C1 as tan,Il as tanh,ir as tensor,xr as tensor1d,uu as tensor2d,Hd as tensor3d,w1 as tensor4d,S1 as tensor5d,I1 as tensor6d,k1 as tensorScatterUpdate,M0 as tensor_util,Z2 as test_util,De as tidy,nu as tile,Cme as time,N1 as topk,CUe as train,dc as transpose,T1 as truncatedNormal,_1 as unique,nce as unregisterGradient,oce as unregisterKernel,$1 as unsortedSegmentSum,po as unstack,dt as upcastType,E1 as upperBound,y as util,ZH as valueAndGrad,JH as valueAndGrads,R1 as variable,vw as variableGrads,zpe as version,H5 as version_converter,Vj as version_core,I8 as version_cpu,tse as version_wasm,xZ as version_webgl,cst as webgl,_c as webgl_util,Fv as webgpu_util,io as where,qd as whereAsync,Wr as zeros,Ht as zerosLike};\n", "import type { Config } from '../exports';\n\n/**\n * Simple helper functions used accross codebase\n */\n\n// helper function: wrapper around console output\nexport function log(...msg): void {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n if (msg) console.log(ts, 'Human:', ...msg); // eslint-disable-line no-console\n}\n\n// helper function: join two paths\nexport function join(folder: string, file: string): string {\n const separator = folder.endsWith('/') ? '' : '/';\n const skipJoin = file.startsWith('.') || file.startsWith('/') || file.startsWith('http:') || file.startsWith('https:') || file.startsWith('file:');\n const path = skipJoin ? `${file}` : `${folder}${separator}${file}`;\n if (!path.toLocaleLowerCase().includes('.json')) throw new Error(`modelpath error: expecting json file: ${path}`);\n return path;\n}\n\n// helper function: gets elapsed time on both browser and nodejs\nexport const now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: checks current config validity\nexport function validate(defaults: Partial, config: Partial, parent = 'config', msgs: { reason: string, where: string, expected?: string }[] = []) {\n for (const key of Object.keys(config)) {\n if (typeof config[key] === 'object') {\n validate(defaults[key], config[key], key, msgs);\n } else {\n const defined = defaults && (typeof defaults[key] !== 'undefined');\n if (!defined) msgs.push({ reason: 'unknown property', where: `${parent}.${key} = ${config[key]}` });\n const same = defaults && typeof defaults[key] === typeof config[key];\n if (defined && !same) msgs.push({ reason: 'property type mismatch', where: `${parent}.${key} = ${config[key]}`, expected: typeof defaults[key] });\n }\n // ok = ok && defined && same;\n }\n if (config.debug && parent === 'config' && msgs.length > 0) log('invalid configuration', msgs);\n return msgs;\n}\n\n// helper function: perform deep merge of multiple objects so it allows full inheritance with overrides\nexport function mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) prev[key] = pVal.concat(...oVal);\n else if (isObject(pVal) && isObject(oVal)) prev[key] = mergeDeep(pVal, oVal);\n else prev[key] = oVal;\n });\n return prev;\n }, {});\n}\n\n// helper function: return min and max from input array\nexport const minmax = (data: number[]) => data.reduce((acc: number[], val) => {\n acc[0] = (acc[0] === undefined || val < acc[0]) ? val : acc[0];\n acc[1] = (acc[1] === undefined || val > acc[1]) ? val : acc[1];\n return acc;\n}, []);\n\n// helper function: async wait\nexport async function wait(time: number) {\n const waiting = new Promise((resolve) => { setTimeout(() => resolve(true), time); });\n await waiting;\n}\n", "/* eslint-disable no-multi-spaces */\n\n/** Possible TensorFlow backends */\nexport type BackendEnum = '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu';\n\n/** Possible values for `human.warmup` */\nexport type WarmupEnum = '' | 'none' | 'face' | 'full' | 'body';\n\n/** Possible segmentation model behavior */\nexport type SegmentationEnum = 'default' | 'alpha' | 'foreground' | 'state'\n\n/** Generic config type inherited by all module types */\nexport interface GenericConfig {\n /** is module enabled? */\n enabled: boolean,\n /** path to model json file (relative to `modelBasePath` */\n modelPath: string,\n /** how many max frames to go without re-running model if cached results are acceptable\n * for two-phase models such as face and hand caching applies to bounding boxes detection only */\n skipFrames: number,\n /** how many max milliseconds to go without re-running model if cached results are acceptable\n * for two-phase models such as face and hand caching applies to bounding boxes detection only */\n skipTime: number,\n}\n\n/** Detector part of face configuration */\nexport interface FaceDetectorConfig extends GenericConfig {\n /** is face rotation correction performed after detecting face?\n * used to correctly analyze faces under high angles\n */\n rotation: boolean,\n /** maximum number of detected faces */\n maxDetected: number,\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n /** minimum size in pixels of a detected face box before resutls are discared */\n minSize: number,\n /** minimum overlap between two detected faces before one is discarded */\n iouThreshold: number,\n /** should child models perform on masked image of a face */\n mask: boolean,\n /** should face detection return processed and cropped face tensor that can with an external model for addtional processing?\n * if enabled it must be manually deallocated to avoid memory leak */\n return: boolean,\n}\n\n/** Mesh part of face configuration */\nexport interface FaceMeshConfig extends GenericConfig {\n /** Keep detected faces that cannot be verified using facemesh */\n keepInvalid: boolean\n}\n\n/** Iris part of face configuration */\nexport interface FaceIrisConfig extends GenericConfig {}\n\n/** Attention part of face configuration */\nexport interface FaceAttentionConfig extends GenericConfig {}\n\n/** Description or face embedding part of face configuration\n * - also used by age and gender detection\n */\nexport interface FaceDescriptionConfig extends GenericConfig {\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n}\n\n/** Emotion part of face configuration */\nexport interface FaceEmotionConfig extends GenericConfig {\n /** minimum confidence for a detected face before results are discarded */\n minConfidence: number,\n}\n\n/** Anti-spoofing part of face configuration */\nexport interface FaceAntiSpoofConfig extends GenericConfig {}\n\n/** Liveness part of face configuration */\nexport interface FaceLivenessConfig extends GenericConfig {}\n\n/** Gear part of face configuration */\nexport interface FaceGearConfig extends GenericConfig {\n /** minimum confidence for a detected race before results are discarded */\n minConfidence: number,\n}\n\n/** Configures all face-specific options: face detection, mesh analysis, age, gender, emotion detection and face description */\nexport interface FaceConfig extends GenericConfig {\n detector: Partial,\n mesh: Partial,\n attention: Partial,\n iris: Partial,\n description: Partial,\n emotion: Partial,\n antispoof: Partial,\n liveness: Partial,\n gear: Partial,\n}\n\n/** Configures all body detection specific options */\nexport interface BodyConfig extends GenericConfig {\n /** maximum number of detected bodies */\n maxDetected: number,\n /** minimum confidence for a detected body before results are discarded */\n minConfidence: number,\n /* experimental\n /** experimental: detector used for body model before actual analysis\n detector?: {\n /** experimental: enable body detector before body landmarks\n enabled: boolean,\n /** experimental: path to optional body detector model json file\n modelPath: string,\n /** experimental: minimum confidence for a detected body before results are discarded\n minConfidence: number,\n /** experimental: minimum overlap between two detected bodies before one is discarded\n iouThreshold: number\n },\n */\n}\n\n/** Configures all hand detection specific options */\nexport interface HandConfig extends GenericConfig {\n /** should hand rotation correction be performed after hand detection? */\n rotation: boolean,\n /** minimum confidence for a detected hand before results are discarded */\n minConfidence: number,\n /** minimum overlap between two detected hands before one is discarded */\n iouThreshold: number,\n /** maximum number of detected hands */\n maxDetected: number,\n /** should hand landmarks be detected or just return detected hand box */\n landmarks: boolean,\n detector: {\n /** path to hand detector model json */\n modelPath?: string,\n },\n skeleton: {\n /** path to hand skeleton model json */\n modelPath?: string,\n },\n}\n\n/** Configures all object detection specific options */\nexport interface ObjectConfig extends GenericConfig {\n /** minimum confidence for a detected objects before results are discarded */\n minConfidence: number,\n /** minimum overlap between two detected objects before one is discarded */\n iouThreshold: number,\n /** maximum number of detected objects */\n maxDetected: number,\n}\n\n/** Configures all body segmentation module\n * removes background from input containing person\n * if segmentation is enabled it will run as preprocessing task before any other model\n * alternatively leave it disabled and use it on-demand using human.segmentation method which can\n * remove background or replace it with user-provided background\n*/\nexport interface SegmentationConfig extends GenericConfig {\n /** downsample ratio, adjust to reflect approximately how much of input is taken by body */\n ratio: number,\n /** possible rvm segmentation mode */\n mode: SegmentationEnum,\n}\n\n/** Run input through image filters before inference\n * - available only in Browser environments\n * - image filters run with near-zero latency as they are executed on the GPU using WebGL\n*/\nexport interface FilterConfig {\n /** are image filters enabled? */\n enabled: boolean,\n /** perform image histogram equalization\n * - equalization is performed on input as a whole and detected face before its passed for further analysis\n */\n equalization: boolean,\n /** resize input width\n * - if both width and height are set to 0, there is no resizing\n * - if just one is set, second one is scaled automatically\n * - if both are set, values are used as-is\n */\n width: number,\n /** resize input height\n * - if both width and height are set to 0, there is no resizing\n * - if just one is set, second one is scaled automatically\n * - if both are set, values are used as-is\n */\n height: number,\n /** return processed canvas imagedata in result */\n return: boolean,\n /** flip input as mirror image */\n flip: boolean,\n /** apply auto-brighness */\n autoBrightness: boolean,\n /** range: -1 (darken) to 1 (lighten) */\n brightness: number,\n /** range: -1 (reduce contrast) to 1 (increase contrast) */\n contrast: number,\n /** range: 0 (no sharpening) to 1 (maximum sharpening) */\n sharpness: number,\n /** range: 0 (no blur) to N (blur radius in pixels) */\n blur: number\n /** range: -1 (reduce saturation) to 1 (increase saturation) */\n saturation: number,\n /** range: 0 (no change) to 360 (hue rotation in degrees) */\n hue: number,\n /** image negative */\n negative: boolean,\n /** image sepia colors */\n sepia: boolean,\n /** image vintage colors */\n vintage: boolean,\n /** image kodachrome colors */\n kodachrome: boolean,\n /** image technicolor colors */\n technicolor: boolean,\n /** image polaroid camera effect */\n polaroid: boolean,\n /** range: 0 (no pixelate) to N (number of pixels to pixelate) */\n pixelate: number,\n}\n\n/** Controlls gesture detection */\nexport interface GestureConfig {\n /** is gesture detection enabled? */\n enabled: boolean,\n}\n/**\n * Configuration interface definition for **Human** library\n * Contains all configurable parameters\n * Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262)\n */\nexport interface Config {\n /** Backend used for TFJS operations\n * valid build-in backends are:\n * - Browser: `cpu`, `wasm`, `webgl`, `humangl`, `webgpu`\n * - NodeJS: `cpu`, `wasm`, `tensorflow`\n * default: `webgl` for browser and `tensorflow` for nodejs\n */\n backend: BackendEnum,\n\n /** Path to *.wasm files if backend is set to `wasm`\n *\n * default: auto-detects to link to CDN `jsdelivr` when running in browser\n */\n wasmPath: string,\n\n /** Force WASM loader to use platform fetch\n *\n * default: false\n */\n wasmPlatformFetch: boolean,\n\n /** Print debug statements to console\n *\n * default: `true`\n */\n debug: boolean,\n\n /** Perform model loading and inference concurrently or sequentially\n *\n * default: `true`\n */\n async: boolean,\n\n /** What to use for `human.warmup()`\n * - warmup pre-initializes all models for faster inference but can take significant time on startup\n * - used by `webgl`, `humangl` and `webgpu` backends\n *\n * default: `full`\n */\n warmup: WarmupEnum,\n\n /** Base model path (typically starting with file://, http:// or https://) for all models\n * - individual modelPath values are relative to this path\n *\n * default: `../models/` for browsers and `file://models/` for nodejs\n */\n modelBasePath: string,\n\n /** Cache models in IndexDB on first sucessfull load\n * default: true if indexdb is available (browsers), false if its not (nodejs)\n */\n cacheModels: boolean,\n\n /** Validate kernel ops used in model during model load\n * default: true\n * any errors will be printed on console but will be treated as non-fatal\n */\n validateModels: boolean,\n\n /** Cache sensitivity\n * - values 0..1 where 0.01 means reset cache if input changed more than 1%\n * - set to 0 to disable caching\n *\n * default: 0.7\n */\n cacheSensitivity: number;\n\n /** Explicit flags passed to initialize TFJS */\n flags: Record,\n\n /** Software Kernels\n * Registers software kernel ops running on CPU when accelerated version of kernel is not found in the current backend\n */\n softwareKernels: boolean,\n\n /** Perform immediate garbage collection on deallocated tensors instead of caching them */\n deallocate: boolean;\n\n /** Internal Variable */\n skipAllowed: boolean;\n\n /** Filter config {@link FilterConfig} */\n filter: Partial,\n\n /** Gesture config {@link GestureConfig} */\n gesture: Partial;\n\n /** Face config {@link FaceConfig} */\n face: Partial,\n\n /** Body config {@link BodyConfig} */\n body: Partial,\n\n /** Hand config {@link HandConfig} */\n hand: Partial,\n\n /** Object config {@link ObjectConfig} */\n object: Partial,\n\n /** Segmentation config {@link SegmentationConfig} */\n segmentation: Partial,\n}\n\n/** - [See all default Config values...](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) */\nconst config: Config = {\n backend: '',\n modelBasePath: '',\n cacheModels: true,\n validateModels: true,\n wasmPath: '',\n wasmPlatformFetch: false,\n debug: false,\n async: true,\n warmup: 'full',\n cacheSensitivity: 0.70,\n skipAllowed: false,\n deallocate: false,\n flags: {},\n softwareKernels: false,\n filter: {\n enabled: true,\n equalization: false,\n width: 0,\n height: 0,\n flip: false,\n return: true,\n autoBrightness: true,\n brightness: 0,\n contrast: 0,\n sharpness: 0,\n blur: 0,\n saturation: 0,\n hue: 0,\n negative: false,\n sepia: false,\n vintage: false,\n kodachrome: false,\n technicolor: false,\n polaroid: false,\n pixelate: 0,\n },\n gesture: {\n enabled: true,\n },\n face: {\n enabled: true,\n detector: {\n modelPath: 'blazeface.json',\n rotation: false,\n maxDetected: 1,\n skipFrames: 99,\n skipTime: 2500,\n minConfidence: 0.2,\n minSize: 0,\n iouThreshold: 0.1,\n mask: false,\n return: false,\n },\n mesh: {\n enabled: true,\n modelPath: 'facemesh.json',\n keepInvalid: false,\n },\n attention: {\n enabled: false,\n modelPath: 'facemesh-attention.json',\n },\n iris: {\n enabled: true,\n modelPath: 'iris.json',\n },\n emotion: {\n enabled: true,\n minConfidence: 0.1,\n skipFrames: 99,\n skipTime: 1500,\n modelPath: 'emotion.json',\n },\n description: {\n enabled: true,\n modelPath: 'faceres.json',\n skipFrames: 99,\n skipTime: 3000,\n minConfidence: 0.1,\n },\n antispoof: {\n enabled: false,\n skipFrames: 99,\n skipTime: 4000,\n modelPath: 'antispoof.json',\n },\n liveness: {\n enabled: false,\n skipFrames: 99,\n skipTime: 4000,\n modelPath: 'liveness.json',\n },\n },\n body: {\n enabled: true,\n modelPath: 'movenet-lightning.json',\n maxDetected: -1,\n minConfidence: 0.3,\n skipFrames: 1,\n skipTime: 200,\n },\n hand: {\n enabled: true,\n rotation: true,\n skipFrames: 99,\n skipTime: 1000,\n minConfidence: 0.50,\n iouThreshold: 0.2,\n maxDetected: -1,\n landmarks: true,\n detector: {\n modelPath: 'handtrack.json',\n },\n skeleton: {\n modelPath: 'handlandmark-lite.json',\n },\n },\n object: {\n enabled: false,\n modelPath: 'centernet.json',\n minConfidence: 0.2,\n iouThreshold: 0.4,\n maxDetected: 10,\n skipFrames: 99,\n skipTime: 2000,\n },\n segmentation: {\n enabled: false,\n modelPath: 'rvm.json',\n ratio: 0.5,\n mode: 'default',\n },\n};\n\nexport { config as defaults };\n", "export const vertexIdentity = `\n precision highp float;\n attribute vec2 pos;\n attribute vec2 uv;\n varying vec2 vUv;\n uniform float flipY;\n void main(void) {\n vUv = uv;\n gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);\n }\n`;\n\nexport const fragmentIdentity = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n void main(void) {\n gl_FragColor = texture2D(texture, vUv);\n }\n`;\n\nexport const colorMatrixWithAlpha = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform float m[20];\n void main(void) {\n vec4 c = texture2D(texture, vUv);\n gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];\n gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];\n gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];\n gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];\n }\n`;\n\nexport const colorMatrixWithoutAlpha = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform float m[20];\n void main(void) {\n vec4 c = texture2D(texture, vUv);\n gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];\n gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];\n gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];\n gl_FragColor.a = c.a;\n }\n`;\n\nexport const pixelate = `\n precision highp float;\n varying vec2 vUv;\n uniform vec2 size;\n uniform sampler2D texture;\n vec2 pixelate(vec2 coord, vec2 size) {\n return floor( coord / size ) * size;\n }\n void main(void) {\n gl_FragColor = vec4(0.0);\n vec2 coord = pixelate(vUv, size);\n gl_FragColor += texture2D(texture, coord);\n }\n`;\n\nexport const blur = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform vec2 px;\n void main(void) {\n gl_FragColor = vec4(0.0);\n gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;\n gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;\n gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;\n gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;\n gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;\n gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;\n gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;\n gl_FragColor += texture2D(texture, vUv )*0.159576912161;\n gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;\n gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;\n gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;\n gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;\n gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;\n gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;\n gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;\n }\n`;\n\nexport const convolution = `\n precision highp float;\n varying vec2 vUv;\n uniform sampler2D texture;\n uniform vec2 px;\n uniform float m[9];\n void main(void) {\n vec4 c11 = texture2D(texture, vUv - px); // top left\n vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center\n vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right\n vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left\n vec4 c22 = texture2D(texture, vUv); // mid center\n vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right\n vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left\n vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center\n vec4 c33 = texture2D(texture, vUv + px ); // bottom right\n gl_FragColor = \n c11 * m[0] + c12 * m[1] + c22 * m[2] +\n c21 * m[3] + c22 * m[4] + c23 * m[5] +\n c31 * m[6] + c32 * m[7] + c33 * m[8];\n gl_FragColor.a = c22.a;\n }\n`;\n", "/**\n * Image Filters in WebGL algoritm implementation\n * Based on: [WebGLImageFilter](https://github.com/phoboslab/WebGLImageFilter)\n */\n\n/* eslint-disable func-names */\n\nimport * as shaders from './imagefxshaders';\nimport { canvas } from './image';\nimport { log } from '../util/util';\n\nconst collect = (source, prefix: string, collection) => {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n};\n\nclass GLProgram {\n uniform = {};\n attribute = {};\n gl: WebGLRenderingContext;\n id: WebGLProgram;\n\n constructor(gl, vertexSource, fragmentSource) {\n this.gl = gl;\n const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER);\n const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER);\n this.id = this.gl.createProgram() as WebGLProgram;\n if (!vertexShader || !fragmentShader) return;\n if (!this.id) {\n log('filter: could not create webgl program');\n return;\n }\n this.gl.attachShader(this.id, vertexShader);\n this.gl.attachShader(this.id, fragmentShader);\n this.gl.linkProgram(this.id);\n if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) {\n log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || 'unknown'}`);\n return;\n }\n this.gl.useProgram(this.id);\n collect(vertexSource, 'attribute', this.attribute); // Collect attributes\n for (const a in this.attribute) this.attribute[a] = this.gl.getAttribLocation(this.id, a);\n collect(vertexSource, 'uniform', this.uniform); // Collect uniforms\n collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = this.gl.getUniformLocation(this.id, u);\n }\n\n compile = (source, type): WebGLShader | null => {\n const shader = this.gl.createShader(type);\n if (!shader) {\n log('filter: could not create shader');\n return null;\n }\n this.gl.shaderSource(shader, source);\n this.gl.compileShader(shader);\n if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) {\n log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || 'unknown'}`);\n return null;\n }\n return shader;\n };\n}\n\n// function that is instantiated as class so it has private this members\n/**\n * @class GLImageFilter\n * @property {function} reset reset current filter chain\n * @property {function} add add specified filter to filter chain\n * @property {function} apply execute filter chain and draw result\n * @property {function} draw just draw input to result\n */\n\nexport function GLImageFilter() {\n let drawCount = 0;\n let sourceTexture: WebGLTexture | null = null;\n let lastInChain = false;\n let currentFramebufferIndex = -1;\n let tempFramebuffers: [null, null] | [{ fbo: WebGLFramebuffer | null, texture: WebGLTexture | null }] = [null, null];\n let filterChain: Record[] = [];\n let vertexBuffer: WebGLBuffer | null = null;\n let currentProgram: GLProgram | null = null;\n const fxcanvas = canvas(100, 100) as HTMLCanvasElement;\n const shaderProgramCache = { }; // key is the shader program source, value is the compiled program\n const DRAW = { INTERMEDIATE: 1 };\n const gl = fxcanvas.getContext('webgl') as WebGLRenderingContext;\n if (!gl) {\n log('filter: cannot get webgl context');\n return;\n }\n // @ts-ignore used for sanity checks outside of imagefx\n this.gl = gl;\n\n function resize(width, height) {\n if (width === fxcanvas.width && height === fxcanvas.height) return; // Same width/height? Nothing to do here\n fxcanvas.width = width;\n fxcanvas.height = height;\n if (!vertexBuffer) { // Create the context if we don't have it yet\n const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n vertexBuffer = gl.createBuffer();\n gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer);\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, fxcanvas.width, fxcanvas.height);\n tempFramebuffers = [null, null]; // Delete old temp framebuffers\n }\n\n function createFramebufferTexture(width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n }\n\n function getTempFramebuffer(index): { fbo: WebGLFramebuffer | null, texture: WebGLTexture | null } {\n tempFramebuffers[index] = tempFramebuffers[index] || createFramebufferTexture(fxcanvas.width, fxcanvas.height);\n return tempFramebuffers[index] as { fbo: WebGLFramebuffer, texture: WebGLTexture };\n }\n\n function draw(flags = 0) {\n if (!currentProgram) return;\n let source: WebGLTexture | null = null;\n let target: WebGLFramebuffer | null = null;\n let flipY = false;\n if (drawCount === 0) source = sourceTexture; // First draw call - use the source texture\n else source = getTempFramebuffer(currentFramebufferIndex).texture || null; // All following draw calls use the temp buffer last drawn to\n drawCount++;\n if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { // Last filter in our chain - draw directly to the WebGL Canvas. We may also have to flip the image vertically now\n target = null;\n flipY = drawCount % 2 === 0;\n } else {\n currentFramebufferIndex = (currentFramebufferIndex + 1) % 2;\n target = getTempFramebuffer(currentFramebufferIndex).fbo || null; // Intermediate draw call - get a temp buffer to draw to\n }\n gl.bindTexture(gl.TEXTURE_2D, source); // Bind the source and target and draw the two triangles\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(currentProgram.uniform['flipY'], (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n }\n\n function compileShader(fragmentSource): GLProgram | null {\n if (shaderProgramCache[fragmentSource]) {\n currentProgram = shaderProgramCache[fragmentSource];\n gl.useProgram((currentProgram ? currentProgram.id : null) || null);\n return currentProgram;\n }\n currentProgram = new GLProgram(gl, shaders.vertexIdentity, fragmentSource);\n if (!currentProgram) {\n log('filter: could not get webgl program');\n return null;\n }\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(currentProgram.attribute['pos']);\n gl.vertexAttribPointer(currentProgram.attribute['pos'], 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(currentProgram.attribute['uv']);\n gl.vertexAttribPointer(currentProgram.attribute['uv'], 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n shaderProgramCache[fragmentSource] = currentProgram;\n return currentProgram;\n }\n\n const filter = {\n colorMatrix: (matrix: number[]) => { // general color matrix filter\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0) // Can we ignore the alpha value? Makes things a bit faster.\n ? shaders.colorMatrixWithoutAlpha\n : shaders.colorMatrixWithAlpha;\n const program = compileShader(shader);\n if (!program) return;\n gl.uniform1fv(program.uniform['m'], m);\n draw();\n },\n\n brightness: (brightness: number) => {\n const b = (brightness || 0) + 1;\n filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n saturation: (amount: number) => {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n desaturate: () => {\n filter.saturation(-1);\n },\n\n contrast: (amount: number) => {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n negative: () => {\n filter.contrast(-2);\n },\n\n hue: (rotation: number) => {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n desaturateLuminance: () => {\n filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n sepia: () => {\n filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n brownie: () => {\n filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n vintagePinhole: () => {\n filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n kodachrome: () => {\n filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n technicolor: () => {\n filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n polaroid: () => {\n filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n shiftToBGR: () => {\n filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n },\n\n convolution: (matrix: number[]) => { // general convolution Filter\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / fxcanvas.width;\n const pixelSizeY = 1 / fxcanvas.height;\n const program = compileShader(shaders.convolution);\n if (!program) return;\n gl.uniform1fv(program.uniform['m'], m);\n gl.uniform2f(program.uniform['px'], pixelSizeX, pixelSizeY);\n draw();\n },\n\n detectEdges: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n },\n\n sobelX: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n },\n\n sobelY: () => {\n // @ts-ignore this\n filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n },\n\n sharpen: (amount) => {\n const a = amount || 1;\n // @ts-ignore this\n filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n },\n\n emboss: (size: number) => {\n const s = size || 1;\n // @ts-ignore this\n filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n },\n\n blur: (size: number) => {\n const blurSizeX = (size / 7) / fxcanvas.width;\n const blurSizeY = (size / 7) / fxcanvas.height;\n const program = compileShader(shaders.blur);\n if (!program) return;\n // Vertical\n gl.uniform2f(program.uniform['px'], 0, blurSizeY);\n draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform['px'], blurSizeX, 0);\n draw();\n },\n\n pixelate: (size: number) => {\n const blurSizeX = (size) / fxcanvas.width;\n const blurSizeY = (size) / fxcanvas.height;\n const program = compileShader(shaders.pixelate);\n if (!program) return;\n gl.uniform2f(program.uniform['size'], blurSizeX, blurSizeY);\n draw();\n },\n };\n\n // @ts-ignore this\n this.add = function (name) {\n const args = Array.prototype.slice.call(arguments, 1); // eslint-disable-line prefer-rest-params\n const func = filter[name];\n filterChain.push({ func, args });\n };\n\n // @ts-ignore this\n this.reset = function () {\n filterChain = [];\n };\n\n // @ts-ignore this\n this.get = function () {\n return filterChain;\n };\n\n // @ts-ignore this\n this.apply = function (image) {\n resize(image.width, image.height);\n drawCount = 0;\n if (!sourceTexture) sourceTexture = gl.createTexture(); // Create the texture for the input image if we haven't yet\n gl.bindTexture(gl.TEXTURE_2D, sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n for (let i = 0; i < filterChain.length; i++) {\n lastInChain = (i === filterChain.length - 1);\n const f = filterChain[i];\n // @ts-ignore function assigment\n f.func.apply(this, f.args || []);\n }\n return fxcanvas;\n };\n\n // @ts-ignore this\n this.draw = function (image) {\n this.add('brightness', 0);\n return this.apply(image);\n };\n}\n", "/**\n * Image enhancements\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Tensor } from '../tfjs/types';\n\nexport async function histogramEqualization(inputImage: Tensor): Promise {\n const squeeze = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage;\n const rgb = tf.split(squeeze, 3, 2);\n const min: Tensor[] = [tf.min(rgb[0]), tf.min(rgb[1]), tf.min(rgb[2])]; // minimum pixel value per channel T[]\n const max: Tensor[] = [tf.max(rgb[0]), tf.max(rgb[1]), tf.max(rgb[2])]; // maximum pixel value per channel T[]\n // const absMin = await Promise.all(min.map((channel) => channel.data())); // minimum pixel value per channel A[]\n // const minValue = Math.min(absMax[0][0], absMin[1][0], absMin[2][0]);\n const absMax = await Promise.all(max.map((channel) => channel.data())); // maximum pixel value per channel A[]\n const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]);\n const maxRange = maxValue > 1 ? 255 : 1;\n const factor = maxRange / maxValue;\n let final: Tensor;\n if (factor > 1) {\n const sub = [tf.sub(rgb[0], min[0]), tf.sub(rgb[1], min[1]), tf.sub(rgb[2], min[2])]; // channels offset by min values\n const range = [tf.sub(max[0], min[0]), tf.sub(max[1], min[1]), tf.sub(max[2], min[2])]; // channel ranges\n // const fact = [tf.div(maxRange, absMax[0]), tf.div(maxRange, absMax[1]), tf.div(maxRange, absMax[1])]; // factors between\n const enh = [tf.mul(sub[0], factor), tf.mul(sub[1], factor), tf.mul(sub[2], factor)];\n const stack = tf.stack([enh[0], enh[1], enh[2]], 2);\n final = tf.reshape(stack, [1, squeeze.shape[0] || 0, squeeze.shape[1] || 0, 3]);\n tf.dispose([...sub, ...range, ...enh, stack]);\n } else {\n final = tf.expandDims(squeeze, 0);\n }\n tf.dispose([...rgb, ...min, ...max, rgb, squeeze, inputImage]);\n return final;\n}\n", "/**\n * Image Processing algorithm implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\nimport type { Input, AnyCanvas, Config } from '../exports';\nimport type { Tensor, Tensor3D, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport * as enhance from './enhance';\n\nconst maxSize = 3840;\n// internal temp canvases\nlet inCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\nlet outCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\nlet tmpCanvas: AnyCanvas | null = null; // use global variable to avoid recreating canvas on each frame\n// @ts-ignore // imagefx is js module that should be converted to a class\nlet fx: fxImage.GLImageFilter | null; // instance of imagefx\n\nconst last: { inputSum: number, cacheDiff: number, sumMethod: number, inputTensor: undefined | Tensor } = {\n inputSum: 0,\n cacheDiff: 1,\n sumMethod: 0,\n inputTensor: undefined,\n};\n\nexport function reset() {\n last.inputSum = 0;\n last.cacheDiff = 1;\n last.sumMethod = 0;\n last.inputTensor = undefined;\n}\n\nexport function canvas(width: number, height: number): AnyCanvas {\n let c: AnyCanvas;\n if (env.browser) { // browser defines canvas object\n if (env.worker) { // if runing in web worker use OffscreenCanvas\n if (typeof OffscreenCanvas === 'undefined') throw new Error('canvas error: attempted to run in web worker but OffscreenCanvas is not supported');\n c = new OffscreenCanvas(width, height);\n } else { // otherwise use DOM canvas\n if (typeof document !== 'undefined') {\n c = document.createElement('canvas');\n c.width = width;\n c.height = height;\n } else if (typeof navigator !== 'undefined' && navigator.product === 'ReactNative') {\n // @ts-ignore // env.canvas is an external monkey-patch\n if (typeof env.Canvas !== 'undefined') c = new env.Canvas(width, height);\n else if (typeof globalThis.Canvas !== 'undefined') c = new globalThis.Canvas(width, height);\n else throw new Error('canvas error: attempted to use canvas in react-native without canvas support installed');\n } else {\n throw new Error('canvas error: attempted to run in browser but DOM is not defined');\n }\n }\n } else { // if not running in browser, there is no \"default\" canvas object, so we need monkey patch or fail\n // @ts-ignore // env.canvas is an external monkey-patch\n if (typeof env.Canvas !== 'undefined') c = new env.Canvas(width, height);\n else if (typeof globalThis.Canvas !== 'undefined') c = new globalThis.Canvas(width, height);\n // else throw new Error('canvas error: attempted to use canvas in nodejs without canvas support installed');\n }\n // @ts-ignore its either defined or we already threw an error\n return c;\n}\n\n// helper function to copy canvas from input to output\nexport function copy(input: AnyCanvas, output?: AnyCanvas) {\n const outputCanvas = output || canvas(input.width, input.height);\n const ctx = outputCanvas.getContext('2d') as CanvasRenderingContext2D;\n ctx.drawImage(input, 0, 0);\n return outputCanvas;\n}\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport async function process(input: Input, config: Config, getTensor: boolean = true): Promise<{ tensor: Tensor4D | null, canvas: AnyCanvas | null }> {\n if (!input) {\n // throw new Error('input is missing');\n if (config.debug) log('input error: input is missing');\n return { tensor: null, canvas: null }; // video may become temporarily unavailable due to onresize\n }\n // sanity checks since different browsers do not implement all dom elements\n if (\n !(input instanceof tf.Tensor)\n && !(typeof Image !== 'undefined' && input instanceof Image)\n && !(typeof globalThis.Canvas !== 'undefined' && input instanceof globalThis.Canvas)\n && !(typeof ImageData !== 'undefined' && input instanceof ImageData)\n && !(typeof ImageBitmap !== 'undefined' && input instanceof ImageBitmap)\n && !(typeof HTMLImageElement !== 'undefined' && input instanceof HTMLImageElement)\n && !(typeof HTMLMediaElement !== 'undefined' && input instanceof HTMLMediaElement)\n && !(typeof HTMLVideoElement !== 'undefined' && input instanceof HTMLVideoElement)\n && !(typeof HTMLCanvasElement !== 'undefined' && input instanceof HTMLCanvasElement)\n && !(typeof OffscreenCanvas !== 'undefined' && input instanceof OffscreenCanvas)\n ) {\n throw new Error('input error: type not recognized');\n }\n if (input instanceof tf.Tensor) { // if input is tensor use as-is without filters but correct shape as needed\n let tensor: Tensor | null = null;\n if (input['isDisposedInternal']) throw new Error('input error: attempted to use tensor but it is disposed');\n if (!(input as Tensor).shape) throw new Error('input error: attempted to use tensor without a shape');\n if ((input as Tensor).shape.length === 3) { // [height, width, 3 || 4]\n if ((input as Tensor).shape[2] === 3) { // [height, width, 3] so add batch\n tensor = tf.expandDims(input, 0);\n } else if ((input as Tensor).shape[2] === 4) { // [height, width, 4] so strip alpha and add batch\n const rgb = tf.slice3d(input as Tensor3D, [0, 0, 0], [-1, -1, 3]);\n tensor = tf.expandDims(rgb, 0);\n tf.dispose(rgb);\n }\n } else if ((input as Tensor).shape.length === 4) { // [1, width, height, 3 || 4]\n if ((input as Tensor).shape[3] === 3) { // [1, width, height, 3] just clone\n tensor = tf.clone(input);\n } else if ((input as Tensor).shape[3] === 4) { // [1, width, height, 4] so strip alpha\n tensor = tf.slice4d(input as Tensor4D, [0, 0, 0, 0], [-1, -1, -1, 3]);\n }\n }\n // at the end shape must be [1, height, width, 3]\n if (tensor == null || tensor.shape.length !== 4 || tensor.shape[0] !== 1 || tensor.shape[3] !== 3) throw new Error(`input error: attempted to use tensor with unrecognized shape: ${((input as Tensor).shape).toString()}`);\n if ((tensor).dtype === 'int32') {\n const cast = tf.cast(tensor, 'float32');\n tf.dispose(tensor);\n tensor = cast;\n }\n return { tensor: tensor as Tensor4D, canvas: (config.filter.return ? outCanvas : null) };\n }\n // check if resizing will be needed\n if (typeof input['readyState'] !== 'undefined' && (input as HTMLMediaElement).readyState <= 2) {\n if (config.debug) log('input stream is not ready');\n return { tensor: null, canvas: inCanvas }; // video may become temporarily unavailable due to onresize\n }\n const originalWidth: number = input['naturalWidth'] || input['videoWidth'] || input['width'] || (input['shape'] && (input['shape'][1] > 0));\n const originalHeight: number = input['naturalHeight'] || input['videoHeight'] || input['height'] || (input['shape'] && (input['shape'][2] > 0));\n if (!originalWidth || !originalHeight) {\n if (config.debug) log('cannot determine input dimensions');\n return { tensor: null, canvas: inCanvas }; // video may become temporarily unavailable due to onresize\n }\n let targetWidth: number = originalWidth;\n let targetHeight: number = originalHeight;\n if (targetWidth > maxSize) {\n targetWidth = maxSize;\n targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth);\n }\n if (targetHeight > maxSize) {\n targetHeight = maxSize;\n targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight);\n }\n\n // create our canvas and resize it if needed\n if ((config.filter?.width || 0) > 0) targetWidth = config.filter.width as number;\n else if ((config.filter?.height || 0) > 0) targetWidth = originalWidth * ((config.filter.height || 0) / originalHeight);\n if ((config.filter.height || 0) > 0) targetHeight = config.filter.height as number;\n else if ((config.filter.width || 0) > 0) targetHeight = originalHeight * ((config.filter.width || 0) / originalWidth);\n if (!targetWidth || !targetHeight) throw new Error('input error: cannot determine dimension');\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) inCanvas = canvas(targetWidth, targetHeight);\n\n // draw input to our canvas\n const inCtx = inCanvas.getContext('2d') as CanvasRenderingContext2D;\n if ((typeof ImageData !== 'undefined') && (input instanceof ImageData)) {\n inCtx.putImageData(input, 0, 0);\n } else {\n if (config.filter.flip && typeof inCtx.translate !== 'undefined') {\n inCtx.translate(originalWidth, 0);\n inCtx.scale(-1, 1);\n inCtx.drawImage(input as AnyCanvas, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n inCtx.setTransform(1, 0, 0, 1, 0, 0); // resets transforms to defaults\n } else {\n inCtx.drawImage(input as AnyCanvas, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n }\n }\n\n if (!outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) outCanvas = canvas(inCanvas.width, inCanvas.height); // init output canvas\n\n // imagefx transforms using gl from input canvas to output canvas\n if (config.filter.enabled && env.webgl.supported) {\n if (!fx) fx = env.browser ? new fxImage.GLImageFilter() : null; // && (typeof document !== 'undefined')\n env.filter = !!fx;\n if (!fx?.add) {\n if (config.debug) log('input process error: cannot initialize filters');\n env.webgl.supported = false;\n config.filter.enabled = false;\n copy(inCanvas, outCanvas); // filter failed to initialize\n // return { tensor: null, canvas: inCanvas };\n } else {\n fx.reset();\n if (config.filter.brightness !== 0) fx.add('brightness', config.filter.brightness);\n if (config.filter.contrast !== 0) fx.add('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.add('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.add('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.add('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.add('hue', config.filter.hue);\n if (config.filter.negative) fx.add('negative');\n if (config.filter.sepia) fx.add('sepia');\n if (config.filter.vintage) fx.add('brownie');\n if (config.filter.sepia) fx.add('sepia');\n if (config.filter.kodachrome) fx.add('kodachrome');\n if (config.filter.technicolor) fx.add('technicolor');\n if (config.filter.polaroid) fx.add('polaroid');\n if (config.filter.pixelate !== 0) fx.add('pixelate', config.filter.pixelate);\n if (fx.get()?.length > 1) outCanvas = fx.apply(inCanvas);\n else outCanvas = fx.draw(inCanvas);\n }\n } else {\n copy(inCanvas, outCanvas); // if no filters applied, output canvas is input canvas\n if (fx) fx = null;\n env.filter = !!fx;\n }\n\n if (!getTensor) return { tensor: null, canvas: outCanvas }; // just canvas was requested\n if (!outCanvas) throw new Error('canvas error: cannot create output');\n\n // create tensor from image unless input was a tensor already\n let pixels;\n let depth = 3;\n if ((typeof ImageData !== 'undefined' && input instanceof ImageData) || ((input as ImageData).data && (input as ImageData).width && (input as ImageData).height)) { // if input is imagedata, just use it\n if (env.browser && tf.browser) {\n pixels = tf.browser ? tf.browser.fromPixels(input as ImageData) : null;\n } else {\n depth = (input as ImageData).data.length / (input as ImageData).height / (input as ImageData).width;\n // const arr = Uint8Array.from(input['data']);\n const arr = new Uint8Array((input as ImageData).data.buffer);\n pixels = tf.tensor(arr, [(input as ImageData).height, (input as ImageData).width, depth], 'int32');\n }\n } else {\n if (!tmpCanvas || (outCanvas.width !== tmpCanvas.width) || (outCanvas.height !== tmpCanvas.height)) tmpCanvas = canvas(outCanvas.width, outCanvas.height); // init output canvas\n if (tf.browser && env.browser) {\n if (config.backend === 'webgl' || config.backend === 'humangl' || config.backend === 'webgpu') {\n pixels = tf.browser.fromPixels(outCanvas as HTMLCanvasElement); // safe to reuse since both backend and context are gl based\n } else {\n tmpCanvas = copy(outCanvas); // cannot use output canvas as it already has gl context so we do a silly one more canvas\n pixels = tf.browser.fromPixels(tmpCanvas as HTMLCanvasElement);\n }\n } else {\n const tempCanvas = copy(outCanvas); // cannot use output canvas as it already has gl context so we do a silly one more canvas\n const tempCtx = tempCanvas.getContext('2d') as CanvasRenderingContext2D;\n const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight);\n depth = tempData.data.length / targetWidth / targetHeight;\n const arr = new Uint8Array(tempData.data.buffer);\n pixels = tf.tensor(arr, [targetWidth, targetHeight, depth]);\n }\n }\n if (depth === 4) { // rgba to rgb\n const rgb = tf.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); // strip alpha channel\n tf.dispose(pixels);\n pixels = rgb;\n }\n if (!pixels) throw new Error('input error: cannot create tensor');\n const casted: Tensor = tf.cast(pixels, 'float32');\n const tensor: Tensor = config.filter.equalization ? await enhance.histogramEqualization(casted) : tf.expandDims(casted, 0);\n tf.dispose([pixels, casted]);\n\n if (config.filter.autoBrightness) {\n const max = tf.max(tensor);\n const maxVal = await max.data();\n config.filter.brightness = maxVal[0] > 1 ? (1 - maxVal[0] / 255) : (1 - maxVal[0]);\n tf.dispose(max);\n }\n\n return { tensor: tensor as Tensor4D, canvas: (config.filter.return ? outCanvas : null) };\n}\n\n/*\nconst checksum = async (input: Tensor): Promise => { // use tf sum or js based sum loop depending on which is faster\n const resizeFact = 48;\n const reduced: Tensor = tf.image.resizeBilinear(input, [Math.trunc((input.shape[1] || 1) / resizeFact), Math.trunc((input.shape[2] || 1) / resizeFact)]);\n const tfSum = async (): Promise => {\n const sumT = tf.sum(reduced);\n const sum0 = await sumT.data();\n tf.dispose(sumT);\n return sum0[0];\n };\n const jsSum = async (): Promise => {\n const reducedData = await reduced.data(); // raw image rgb array\n let sum0 = 0;\n for (let i = 0; i < reducedData.length / 3; i++) sum0 += reducedData[3 * i + 2]; // look only at green value of each pixel\n return sum0;\n };\n if (last.sumMethod === 0) {\n const t0 = now();\n await jsSum();\n const t1 = now();\n await tfSum();\n const t2 = now();\n last.sumMethod = t1 - t0 < t2 - t1 ? 1 : 2;\n }\n const res = last.sumMethod === 1 ? await jsSum() : await tfSum();\n tf.dispose(reduced);\n return res;\n};\n*/\n\nexport async function skip(config: Partial, input: Tensor) {\n let skipFrame = false;\n if (config.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) return skipFrame; // cache disabled or input is invalid or too large for cache analysis\n\n /*\n const checkSum = await checksum(input);\n const diff = 100 * (Math.max(checkSum, last.inputSum) / Math.min(checkSum, last.inputSum) - 1);\n last.inputSum = checkSum;\n // if previous frame was skipped, skip this frame if changed more than cacheSensitivity\n // if previous frame was not skipped, then look for cacheSensitivity or difference larger than one in previous frame to avoid resetting cache in subsequent frames unnecessarily\n let skipFrame = diff < Math.max(config.cacheSensitivity, last.cacheDiff);\n // if difference is above 10x threshold, don't use last value to force reset cache for significant change of scenes or images\n last.cacheDiff = diff > 10 * config.cacheSensitivity ? 0 : diff;\n skipFrame = skipFrame && (last.cacheDiff > 0); // if no cached diff value then force no skip\n */\n\n if (!last.inputTensor) {\n last.inputTensor = tf.clone(input);\n } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { // input resolution changed\n tf.dispose(last.inputTensor);\n last.inputTensor = tf.clone(input);\n } else {\n const t: Record = {};\n t.diff = tf.sub(input, last.inputTensor);\n t.squared = tf.mul(t.diff, t.diff);\n t.sum = tf.sum(t.squared);\n const diffSum = await t.sum.data();\n const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; // squared difference relative to input resolution and averaged per channel\n tf.dispose([last.inputTensor, t.diff, t.squared, t.sum]);\n last.inputTensor = tf.clone(input);\n skipFrame = diffRelative <= (config.cacheSensitivity || 0);\n }\n return skipFrame;\n}\n\nexport async function compare(config: Partial, input1: Tensor, input2: Tensor): Promise {\n const t: Record = {};\n if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) {\n if (!config.debug) log('invalid input tensor or tensor shapes do not match:', input1.shape, input2.shape);\n return 0;\n }\n if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) {\n if (!config.debug) log('input tensors must be of shape [1, height, width, 3]:', input1.shape, input2.shape);\n return 0;\n }\n t.input1 = tf.clone(input1);\n t.input2 = (input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2]) ? tf.image.resizeBilinear(input2 as Tensor3D, [input1.shape[1], input1.shape[2]]) : tf.clone(input2);\n t.diff = tf.sub(t.input1, t.input2);\n t.squared = tf.mul(t.diff, t.diff);\n t.sum = tf.sum(t.squared);\n const diffSum = await t.sum.data();\n const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3;\n tf.dispose([t.input1, t.input2, t.diff, t.squared, t.sum]);\n return diffRelative;\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport * as image from '../image/image';\n\n/** Env class that holds detected capabilities */\nexport class Env {\n /** Running in Browser */\n browser: boolean;\n /** Running in NodeJS */\n node: boolean;\n /** Running in WebWorker thread */\n worker: boolean;\n /** Detected platform */\n platform: string = '';\n /** Detected agent */\n agent: string = '';\n /** List of supported backends */\n backends: string[] = [];\n /** Has any work been performed so far */\n initial: boolean;\n /** Are image filters supported? */\n filter: boolean | undefined;\n /** TFJS instance details */\n tfjs: {\n version: undefined | string,\n };\n /** Is offscreenCanvas supported? */\n offscreen: undefined | boolean;\n /** Are performance counter instant values or additive */\n perfadd: boolean = false;\n /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */\n tensorflow: {\n version: undefined | string,\n gpu: undefined | boolean,\n } = {\n version: undefined,\n gpu: undefined,\n };\n /** WASM detected capabilities */\n wasm: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n simd: undefined | boolean,\n multithread: undefined | boolean,\n } = {\n supported: undefined,\n backend: undefined,\n simd: undefined,\n multithread: undefined,\n };\n /** WebGL detected capabilities */\n webgl: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n version: undefined | string,\n renderer: undefined | string,\n shader: undefined | string,\n vendor: undefined | string,\n } = {\n supported: undefined,\n backend: undefined,\n version: undefined,\n renderer: undefined,\n shader: undefined,\n vendor: undefined,\n };\n /** WebGPU detected capabilities */\n webgpu: {\n supported: undefined | boolean,\n backend: undefined | boolean,\n adapter: undefined | GPUAdapterInfo,\n } = {\n supported: undefined,\n backend: undefined,\n adapter: undefined,\n };\n /** CPU info */\n cpu: {\n model: undefined | string,\n flags: string[],\n } = {\n model: undefined,\n flags: [],\n };\n /** List of supported kernels for current backend */\n kernels: string[] = [];\n\n /** MonkeyPatch for Canvas/Image/ImageData */\n #canvas: undefined;\n #image: undefined;\n #imageData: undefined;\n\n get Canvas() { return this.#canvas; }\n set Canvas(val) { this.#canvas = val; globalThis.Canvas = val; }\n get Image() { return this.#image; }\n // @ts-ignore monkey-patch;\n set Image(val) { this.#image = val; globalThis.Image = val; }\n get ImageData() { return this.#imageData; }\n // @ts-ignore monkey-patch;\n set ImageData(val) { this.#imageData = val; globalThis.ImageData = val; }\n\n constructor() {\n this.browser = typeof navigator !== 'undefined';\n this.node = (typeof process !== 'undefined') && (typeof process.versions !== 'undefined') && (typeof process.versions.node !== 'undefined');\n this.tfjs = { version: tf.version['tfjs-core'] };\n this.offscreen = typeof OffscreenCanvas !== 'undefined';\n this.initial = true;\n\n // @ts-ignore WorkerGlobalScope evaluated in browser only\n this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;\n if ((typeof navigator !== 'undefined') && (typeof navigator.userAgent !== 'undefined')) { // TBD replace with navigator.userAgentData once in mainline\n const agent = navigator.userAgent || '';\n const raw = agent.match(/\\(([^()]+)\\)/g);\n if (raw?.[0]) {\n const platformMatch = raw[0].match(/\\(([^()]+)\\)/g);\n this.platform = (platformMatch?.[0]) ? platformMatch[0].replace(/\\(|\\)/g, '') : '';\n this.agent = agent.replace(raw[0], '');\n if (this.platform[1]) this.agent = this.agent.replace(raw[1], '');\n this.agent = this.agent.replace(/ /g, ' ');\n }\n } else if (typeof process !== 'undefined') {\n this.platform = `${process.platform} ${process.arch}`;\n this.agent = `NodeJS ${process.version}`;\n }\n }\n\n /** update backend information */\n async updateBackend() {\n // analyze backends\n this.backends = Object.keys(tf.engine().registryFactory);\n try { // backend may not be initialized\n this.tensorflow = {\n version: (tf.backend()['binding'] ? tf.backend()['binding'].TF_Version : undefined),\n gpu: (tf.backend()['binding'] ? tf.backend()['binding'].isUsingGpuDevice() : undefined),\n };\n } catch { /**/ }\n this.wasm.supported = typeof WebAssembly !== 'undefined';\n this.wasm.backend = this.backends.includes('wasm');\n if (this.wasm.supported && this.wasm.backend) {\n this.wasm.simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT') as boolean;\n this.wasm.multithread = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT') as boolean;\n }\n const c = image.canvas(100, 100);\n const gl = c ? c.getContext('webgl2') as WebGL2RenderingContext : undefined; // causes too many gl contexts\n this.webgl.supported = typeof gl !== 'undefined';\n this.webgl.backend = this.backends.includes('webgl');\n if (this.webgl.supported && this.webgl.backend && gl) {\n this.webgl.version = gl.getParameter(gl.VERSION);\n this.webgl.vendor = gl.getParameter(gl.VENDOR);\n this.webgl.renderer = gl.getParameter(gl.RENDERER);\n this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION);\n }\n this.webgpu.supported = this.browser && typeof navigator !== 'undefined' && typeof navigator.gpu !== 'undefined';\n this.webgpu.backend = this.backends.includes('webgpu');\n try {\n if (this.webgpu.supported) {\n const adapter = await navigator.gpu.requestAdapter();\n this.webgpu.adapter = await adapter?.requestAdapterInfo();\n }\n } catch {\n this.webgpu.supported = false;\n }\n try {\n this.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());\n } catch { /**/ }\n }\n\n /** update cpu information */\n updateCPU() {\n const cpu = { model: '', flags: [] };\n if (this.node && this.platform.startsWith('linux')) {\n /*\n const fs = require('fs');\n try {\n const data = fs.readFileSync('/proc/cpuinfo').toString();\n for (const line of data.split('\\n')) {\n if (line.startsWith('model name')) cpu.model = line.match(/:(.*)/g)[0].replace(':', '').trim();\n if (line.startsWith('flags')) cpu.flags = line.match(/:(.*)/g)[0].replace(':', '').trim().split(' ').sort();\n }\n } catch { }\n */\n }\n if (!this.cpu) Object.defineProperty(this, 'cpu', { value: cpu });\n else this.cpu = cpu;\n }\n}\n\nexport const env = new Env();\n", "import { log } from './util';\n\n// const log = (...msg) => console.log('webcam', ...msg); // eslint-disable-line no-console\n\n/** WebCam configuration */\nexport interface WebCamConfig {\n /**\n * element can be:\n * - string which indicates dom element id\n * - actual HTMLVideo dom element\n * - undefined in which case a new HTMLVideoElement will be created\n */\n element: string | HTMLVideoElement | undefined,\n /** print messages on console */\n debug: boolean,\n /** use front or back camera */\n mode: 'front' | 'back',\n /** camera crop mode */\n crop: boolean,\n /** desired webcam width */\n width: number,\n /** desired webcam height */\n height: number,\n /** deviceId of the video device to use */\n id?: string,\n}\n\nexport class WebCam { // eslint-disable-line @typescript-eslint/no-extraneous-class\n /** current webcam configuration */\n config: WebCamConfig;\n /** instance of dom element associated with webcam stream */\n element: HTMLVideoElement | undefined;\n /** active webcam stream */\n stream: MediaStream | undefined;\n /** enumerated video devices */\n devices: MediaDeviceInfo[] = [];\n\n constructor() {\n this.config = {\n element: undefined,\n debug: true,\n mode: 'front',\n crop: false,\n width: 0,\n height: 0,\n };\n }\n\n /** get active webcam stream track */\n public get track(): MediaStreamTrack | undefined {\n if (!this.stream) return undefined;\n return this.stream.getVideoTracks()[0];\n }\n\n /** get webcam capabilities */\n public get capabilities(): MediaTrackCapabilities | undefined {\n if (!this.track) return undefined;\n return this.track.getCapabilities ? this.track.getCapabilities() : undefined;\n }\n\n /** get webcam constraints */\n public get constraints(): MediaTrackConstraints | undefined {\n if (!this.track) return undefined;\n return this.track.getConstraints ? this.track.getConstraints() : undefined;\n }\n\n /** get webcam settings */\n public get settings(): MediaTrackSettings | undefined {\n if (!this.stream) return undefined;\n const track: MediaStreamTrack = this.stream.getVideoTracks()[0];\n return track.getSettings ? track.getSettings() : undefined;\n }\n\n /** get webcam label */\n public get label(): string {\n if (!this.track) return '';\n return this.track.label;\n }\n\n /** is webcam paused */\n public get paused(): boolean {\n return this.element?.paused || false;\n }\n\n /** webcam current width */\n public get width(): number {\n return this.element?.videoWidth || 0;\n }\n\n /** webcam current height */\n public get height(): number {\n return this.element?.videoHeight || 0;\n }\n\n public enumerate = async (): Promise => {\n try {\n const devices = await navigator.mediaDevices.enumerateDevices();\n this.devices = devices.filter((device) => device.kind === 'videoinput');\n } catch {\n this.devices = [];\n }\n return this.devices;\n };\n\n /** start method initializizes webcam stream and associates it with a dom video element */\n public start = async (webcamConfig?: Partial): Promise => {\n // set config\n if (webcamConfig?.debug) this.config.debug = webcamConfig?.debug;\n if (webcamConfig?.crop) this.config.crop = webcamConfig?.crop;\n if (webcamConfig?.mode) this.config.mode = webcamConfig?.mode;\n if (webcamConfig?.width) this.config.width = webcamConfig?.width;\n if (webcamConfig?.height) this.config.height = webcamConfig?.height;\n if (webcamConfig?.id) this.config.id = webcamConfig?.id;\n\n // use or create dom element\n if (webcamConfig?.element) {\n if (typeof webcamConfig.element === 'string') {\n const el = document.getElementById(webcamConfig.element);\n if (el && el instanceof HTMLVideoElement) {\n this.element = el;\n } else {\n if (this.config.debug) log('webcam', 'cannot get dom element', webcamConfig.element);\n return;\n }\n } else if (webcamConfig.element instanceof HTMLVideoElement) {\n this.element = webcamConfig.element;\n } else {\n if (this.config.debug) log('webcam', 'unknown dom element', webcamConfig.element);\n return;\n }\n } else {\n this.element = document.createElement('video');\n }\n\n // set constraints to use\n const requestedConstraints: MediaStreamConstraints = {\n audio: false,\n video: {\n facingMode: this.config.mode === 'front' ? 'user' : 'environment',\n // @ts-ignore // resizeMode is still not defined in tslib\n resizeMode: this.config.crop ? 'crop-and-scale' : 'none',\n },\n };\n if (this.config?.width > 0) (requestedConstraints.video as MediaTrackConstraints).width = { ideal: this.config.width };\n if (this.config?.height > 0) (requestedConstraints.video as MediaTrackConstraints).height = { ideal: this.config.height };\n if (this.config.id) (requestedConstraints.video as MediaTrackConstraintSet).deviceId = this.config.id;\n\n // set default event listeners\n this.element.addEventListener('play', () => { if (this.config.debug) log('webcam', 'play'); });\n this.element.addEventListener('pause', () => { if (this.config.debug) log('webcam', 'pause'); });\n this.element.addEventListener('click', async () => { // pause when clicked on screen and resume on next click\n if (!this.element || !this.stream) return;\n if (this.element.paused) await this.element.play();\n else this.element.pause();\n });\n\n // get webcam and set it to run in dom element\n if (!navigator?.mediaDevices) {\n if (this.config.debug) log('webcam', 'no devices');\n return;\n }\n try {\n this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); // get stream that satisfies constraints\n } catch (err) {\n log('webcam', err);\n return;\n }\n if (!this.stream) {\n if (this.config.debug) log('webcam', 'no stream');\n return;\n }\n this.element.srcObject = this.stream; // assign it to dom element\n const ready = new Promise((resolve) => { // wait until stream is ready\n if (!this.element) resolve(false);\n else this.element.onloadeddata = () => resolve(true);\n });\n await ready;\n await this.element.play(); // start playing\n\n if (this.config.debug) {\n log('webcam', {\n width: this.width,\n height: this.height,\n label: this.label,\n stream: this.stream,\n track: this.track,\n settings: this.settings,\n constraints: this.constraints,\n capabilities: this.capabilities,\n });\n }\n };\n\n /** pause webcam video method */\n public pause = (): void => {\n if (this.element) this.element.pause();\n };\n\n /** play webcam video method */\n public play = async (): Promise => {\n if (this.element) await this.element.play();\n };\n\n /** stop method stops active webcam stream track and disconnects webcam */\n public stop = (): void => {\n if (this.config.debug) log('webcam', 'stop');\n if (this.track) this.track.stop();\n };\n}\n", "{\n \"antispoof\": 853098,\n \"blazeface\": 538928,\n \"centernet\": 4030290,\n \"emotion\": 820516,\n \"facemesh\": 1477958,\n \"faceres\": 6978814,\n \"handlandmark-lite\": 2023432,\n \"handtrack\": 2964837,\n \"iris\": 2599092,\n \"liveness\": 592976,\n \"models\": 0,\n \"movenet-lightning\": 4650216,\n \"affectnet-mobilenet\": 6920630,\n \"age\": 161240,\n \"blazeface-back\": 538928,\n \"blazeface-front\": 402048,\n \"blazepose-detector\": 5928856,\n \"blazepose-full\": 6339202,\n \"blazepose-heavy\": 27502466,\n \"blazepose-lite\": 2726402,\n \"efficientpose\": 5651240,\n \"faceboxes\": 2013002,\n \"facemesh-attention-pinto\": 2387598,\n \"facemesh-attention\": 2382414,\n \"facemesh-detection-full\": 1026192,\n \"facemesh-detection-short\": 201268,\n \"faceres-deep\": 13957620,\n \"gear-e1\": 112438,\n \"gear-e2\": 112438,\n \"gear\": 1498916,\n \"gender-ssrnet-imdb\": 161236,\n \"gender\": 201808,\n \"handdetect\": 3515612,\n \"handlandmark-full\": 5431368,\n \"handlandmark-sparse\": 5286322,\n \"handskeleton\": 5502280,\n \"meet\": 372228,\n \"mobileface\": 2183192,\n \"mobilefacenet\": 5171976,\n \"movenet-multipose\": 9448838,\n \"movenet-thunder\": 12477112,\n \"nanodet\": 7574558,\n \"posenet\": 5032780,\n \"rvm\": 3739355,\n \"selfie\": 212886,\n \"anti-spoofing\": 853098,\n \"efficientpose-i-lite\": 2269064,\n \"efficientpose-ii-lite\": 5651240,\n \"efficientpose-iv\": 25643252,\n \"insightface-efficientnet-b0\": 13013224,\n \"insightface-ghostnet-strides1\": 8093408,\n \"insightface-ghostnet-strides2\": 8049584,\n \"insightface-mobilenet-emore\": 6938536,\n \"insightface-mobilenet-swish\": 12168584,\n \"nanodet-e\": 12319156,\n \"nanodet-g\": 7574558,\n \"nanodet-m\": 1887474,\n \"nanodet-t\": 5294216\n}", "import * as tf from 'dist/tfjs.esm.js';\nimport { log, join } from '../util/util';\nimport type { GraphModel } from './types';\nimport type { Config } from '../config';\nimport * as modelsDefs from '../../models/models.json';\n\nconst options = {\n cacheModels: true,\n cacheSupported: true,\n verbose: true,\n debug: false,\n modelBasePath: '',\n};\n\nexport interface ModelInfo {\n name: string,\n inCache: boolean,\n sizeDesired: number,\n sizeFromManifest: number,\n sizeLoadedWeights: number,\n url: string,\n}\n\nexport const modelStats: Record = {};\n\nasync function httpHandler(url: string, init?: RequestInit): Promise {\n if (options.debug) log('load model fetch:', url, init);\n return fetch(url, init);\n}\n\nexport function setModelLoadOptions(config: Config) {\n options.cacheModels = config.cacheModels;\n options.verbose = config.debug;\n options.modelBasePath = config.modelBasePath;\n}\n\nexport async function loadModel(modelPath: string | undefined): Promise {\n let modelUrl = join(options.modelBasePath, modelPath || '');\n if (!modelUrl.toLowerCase().endsWith('.json')) modelUrl += '.json';\n const modelPathSegments = modelUrl.includes('/') ? modelUrl.split('/') : modelUrl.split('\\\\');\n const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace('.json', '');\n const cachedModelName = 'indexeddb://' + shortModelName; // generate short model name for cache\n modelStats[shortModelName] = {\n name: shortModelName,\n sizeFromManifest: 0,\n sizeLoadedWeights: 0,\n sizeDesired: modelsDefs[shortModelName],\n inCache: false,\n url: '',\n };\n options.cacheSupported = (typeof indexedDB !== 'undefined'); // check if localStorage and indexedb are available\n let cachedModels = {};\n try {\n cachedModels = (options.cacheSupported && options.cacheModels) ? await tf.io.listModels() : {}; // list all models already in cache // this fails for webview although localStorage is defined\n } catch {\n options.cacheSupported = false;\n }\n modelStats[shortModelName].inCache = (options.cacheSupported && options.cacheModels) && Object.keys(cachedModels).includes(cachedModelName); // is model found in cache\n modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl;\n const tfLoadOptions = typeof fetch === 'undefined' ? {} : { fetchFunc: (url: string, init?: RequestInit) => httpHandler(url, init) };\n let model: GraphModel = new tf.GraphModel(modelStats[shortModelName].url, tfLoadOptions) as unknown as GraphModel; // create model prototype and decide if load from cache or from original modelurl\n let loaded = false;\n try {\n // @ts-ignore private function\n model.findIOHandler(); // decide how to actually load a model\n if (options.debug) log('model load handler:', model['handler']);\n } catch (err) {\n log('error finding model i/o handler:', modelUrl, err);\n }\n try {\n // @ts-ignore private property\n const artifacts = await model.handler?.load() || null; // load manifest\n modelStats[shortModelName].sizeFromManifest = artifacts?.weightData?.byteLength || 0;\n if (artifacts) model.loadSync(artifacts); // load weights\n else model = await tf.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions) as unknown as GraphModel;\n // @ts-ignore private property\n modelStats[shortModelName].sizeLoadedWeights = model.artifacts?.weightData?.byteLength || 0;\n if (options.verbose) log('load:', { model: shortModelName, url: model['modelUrl'], bytes: modelStats[shortModelName].sizeLoadedWeights });\n loaded = true;\n } catch (err) {\n log('error loading model:', modelUrl, err);\n }\n if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { // save model to cache\n try {\n const saveResult = await model.save(cachedModelName);\n if (options.debug) log('model saved:', cachedModelName, saveResult);\n } catch (err) {\n log('error saving model:', modelUrl, err);\n }\n }\n return model;\n}\n", "{\n \"name\": \"@vladmandic/human\",\n \"version\": \"3.0.6\",\n \"description\": \"Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition\",\n \"sideEffects\": false,\n \"main\": \"dist/human.node.js\",\n \"module\": \"dist/human.esm.js\",\n \"browser\": \"dist/human.esm.js\",\n \"types\": \"types/human.d.ts\",\n \"exports\": {\n \"node\": {\n \"require\": \"./dist/human.node.js\",\n \"import\": \"./dist/human.node.js\",\n \"module\": \"./dist/human.node.js\"\n },\n \"require\": \"./dist/human.node.js\",\n \"import\": \"./dist/human.esm.js\",\n \"script\": \"./dist/human.js\",\n \"module\": \"./dist/human.esm.js\",\n \"types\": \"./types/human.d.ts\",\n \"dist/human\": \"./dist/human.js\",\n \"dist/human.js\": \"./dist/human.js\",\n \"dist/human.esm\": \"./dist/human.esm.js\",\n \"dist/human.esm.js\": \"./dist/human.esm.js\",\n \"dist/human.esm-nobundle\": \"./dist/human.esm-nobundle.js\",\n \"dist/human.esm-nobundle.js\": \"./dist/human.esm-nobundle.js\",\n \"dist/human.node\": \"./dist/human.node.js\",\n \"dist/human.node.js\": \"./dist/human.node.js\",\n \"dist/human.node-wasm\": \"./dist/human.node-wasm.js\",\n \"dist/human.node-wasm.js\": \"./dist/human.node-wasm.js\",\n \"dist/human.node-gpu\": \"./dist/human.node-gpu.js\",\n \"dist/human.node-gpu.js\": \"./dist/human.node-gpu.js\"\n },\n \"author\": \"Vladimir Mandic \",\n \"bugs\": {\n \"url\": \"https://github.com/vladmandic/human/issues\"\n },\n \"homepage\": \"https://vladmandic.github.io/human/demo/index.html\",\n \"license\": \"MIT\",\n \"engines\": {\n \"node\": \">=14.0.0\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/vladmandic/human.git\"\n },\n \"scripts\": {\n \"start\": \"node --no-warnings demo/nodejs/node.js\",\n \"dev\": \"build --profile development\",\n \"clean\": \"build --profile clean\",\n \"build\": \"rimraf test/build.log && node build.js\",\n \"test\": \"node --no-warnings --unhandled-rejections=strict --trace-uncaught test/node.js\",\n \"lint\": \"eslint *.json *.js src demo test models wiki\",\n \"scan\": \"npx auditjs@latest ossi --dev --quiet\"\n },\n \"keywords\": [\n \"human\",\n \"human-library\",\n \"face-detection\",\n \"faceid\",\n \"face-geometry\",\n \"face-embedding\",\n \"face-recognition\",\n \"face-description\",\n \"face-matching\",\n \"body-tracking\",\n \"body-segmentation\",\n \"hand-tracking\",\n \"iris-tracking\",\n \"age-estimation\",\n \"emotion-detection\",\n \"gender-prediction\",\n \"gesture-recognition\",\n \"gaze-tracking\",\n \"age-gender\",\n \"tensorflowjs\",\n \"tfjs\",\n \"tensorflow\"\n ],\n \"devDependencies\": {\n \"@html-eslint/eslint-plugin\": \"^0.17.2\",\n \"@html-eslint/parser\": \"^0.17.1\",\n \"@microsoft/api-extractor\": \"^7.34.4\",\n \"@tensorflow/tfjs-backend-cpu\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-wasm\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgl\": \"^4.2.0\",\n \"@tensorflow/tfjs-backend-webgpu\": \"0.0.1-alpha.17\",\n \"@tensorflow/tfjs-converter\": \"^4.2.0\",\n \"@tensorflow/tfjs-core\": \"^4.2.0\",\n \"@tensorflow/tfjs-data\": \"^4.2.0\",\n \"@tensorflow/tfjs-layers\": \"^4.2.0\",\n \"@tensorflow/tfjs-node\": \"^4.2.0\",\n \"@tensorflow/tfjs-node-gpu\": \"^4.2.0\",\n \"@types/node\": \"^18.15.11\",\n \"@types/offscreencanvas\": \"^2019.7.0\",\n \"@typescript-eslint/eslint-plugin\": \"^5.57.0\",\n \"@typescript-eslint/parser\": \"^5.57.0\",\n \"@vladmandic/build\": \"^0.9.2\",\n \"@vladmandic/pilogger\": \"^0.4.7\",\n \"@vladmandic/tfjs\": \"github:vladmandic/tfjs\",\n \"canvas\": \"^2.11.2\",\n \"esbuild\": \"^0.17.15\",\n \"eslint\": \"8.37.0\",\n \"eslint-config-airbnb-base\": \"^15.0.0\",\n \"eslint-plugin-html\": \"^7.1.0\",\n \"eslint-plugin-import\": \"^2.27.5\",\n \"eslint-plugin-json\": \"^3.1.0\",\n \"eslint-plugin-markdown\": \"^3.0.0\",\n \"eslint-plugin-node\": \"^11.1.0\",\n \"eslint-plugin-promise\": \"^6.1.1\",\n \"rimraf\": \"^4.4.1\",\n \"tslib\": \"^2.5.0\",\n \"typedoc\": \"0.23.28\",\n \"typescript\": \"5.0.3\"\n }\n}\n", "/** TFJS custom backend registration */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Human } from '../human';\nimport { log } from '../util/util';\nimport * as image from '../image/image';\nimport type { AnyCanvas } from '../exports';\n\nexport const config = {\n name: 'humangl',\n priority: 999,\n canvas: null as null | AnyCanvas,\n gl: null as null | WebGL2RenderingContext,\n extensions: [] as string[] | null,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false, // default=true\n desynchronized: true, // default=undefined\n },\n};\n\nfunction extensions(): void {\n /*\n https://www.khronos.org/registry/webgl/extensions/\n https://webglreport.com/?v=2\n */\n const gl = config.gl;\n if (!gl) return;\n config.extensions = gl.getSupportedExtensions();\n // gl.getExtension('KHR_parallel_shader_compile');\n}\n\n/**\n * Registers custom WebGL2 backend to be used by Human library\n *\n * @returns void\n */\nexport function register(instance: Human): void {\n // force backend reload if gl context is not valid\n if (instance.config.backend !== 'humangl') return;\n if ((config.name in tf.engine().registry) && !config?.gl?.getParameter(config.gl.VERSION)) {\n log('humangl error: backend invalid context');\n instance.models.reset();\n /*\n log('resetting humangl backend');\n await tf.removeBackend(config.name);\n await register(instance); // re-register\n */\n }\n if (!tf.findBackend(config.name)) {\n try {\n config.canvas = image.canvas(100, 100);\n } catch (err) {\n log('humangl error: cannot create canvas:', err);\n return;\n }\n try {\n config.gl = config.canvas.getContext('webgl2', config.webGLattr) as WebGL2RenderingContext;\n if (!config.gl) {\n log('humangl error: cannot get webgl context');\n return;\n }\n const glv2 = config.gl.getParameter(config.gl.VERSION).includes('2.0');\n if (!glv2) {\n log('backend override: using fallback webgl backend as webgl 2.0 is not detected');\n instance.config.backend = 'webgl';\n return;\n }\n if (config.canvas) {\n config.canvas.addEventListener('webglcontextlost', (e) => {\n log('humangl error:', e.type);\n log('possible browser memory leak using webgl or conflict with multiple backend registrations');\n instance.emit('error');\n throw new Error('backend error: webgl context lost');\n });\n config.canvas.addEventListener('webglcontextrestored', (e) => {\n log('humangl error: context restored:', e);\n });\n config.canvas.addEventListener('webglcontextcreationerror', (e) => {\n log('humangl error: context create:', e);\n });\n }\n } catch (err) {\n log('humangl error: cannot get webgl context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('humangl error: cannot set webgl context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n // @ts-ignore uncompatible kernelMs timing info\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('humangl error: cannot register webgl backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('humangl error: cannot update webgl backend registration:', err);\n return;\n }\n try {\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_VERSION) tf.env().set('WEBGL_VERSION', 2);\n } catch (err) {\n log('humangl error: cannot set WebGL backend flags:', err);\n return;\n }\n extensions();\n const backend = tf.backend();\n const current = typeof backend['gpgpu'] !== 'undefined' ? backend['getGPGPUContext']().gl : null;\n if (current) {\n if (instance.config.debug) log('humangl backend registered:', { webgl: current.getParameter(current.VERSION) as string, renderer: current.getParameter(current.RENDERER) as string });\n } else {\n log('humangl error: no current gl context:', current, config.gl);\n }\n }\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { Tensor } from './types';\n\nexport const constants: Record = {\n tf255: 255.0,\n tf1: 1.0,\n tf2: 2.0,\n tf05: 0.5,\n tf127: 127.5,\n rgb: [0.2989, 0.5870, 0.1140],\n};\n\nexport function init() {\n constants.tf255 = tf.scalar(255.0, 'float32');\n constants.tf1 = tf.scalar(1.0, 'float32');\n constants.tf2 = tf.scalar(2.0, 'float32');\n constants.tf05 = tf.scalar(0.5, 'float32');\n constants.tf127 = tf.scalar(127.5, 'float32');\n constants.rgb = tf.tensor1d([0.2989, 0.5870, 0.1140], 'float32'); // factors for red/green/blue colors when converting to grayscale\n}\n", "/** TFJS backend initialization and customization */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Human, Config, BackendEnum } from '../human';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as humangl from './humangl';\nimport * as constants from './constants';\nimport type { TensorInfo } from './types';\n\nexport async function getBestBackend(): Promise {\n await env.updateBackend(); // update env on backend init\n if (env.tensorflow?.version) return 'tensorflow';\n if (env.webgpu.supported && env.webgpu.backend) return 'webgpu';\n if (env.webgl.supported && env.webgl.backend) return 'webgl';\n if (env.wasm.supported && env.wasm.backend) return 'wasm';\n return 'cpu';\n}\n\nfunction registerCustomOps(config: Config) {\n const newKernels: string[] = [];\n if (!env.kernels.includes('mod')) {\n const kernelMod = {\n kernelName: 'Mod',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => tf.sub(op.inputs.a, tf.mul(tf.div(op.inputs.a, op.inputs.b), op.inputs.b))),\n };\n tf.registerKernel(kernelMod);\n env.kernels.push('mod');\n newKernels.push('mod');\n }\n if (!env.kernels.includes('floormod')) {\n const kernelFloorMod = {\n kernelName: 'FloorMod',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => tf.add(tf.mul(tf.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tf.mod(op.inputs.a, op.inputs.b))),\n };\n tf.registerKernel(kernelFloorMod);\n env.kernels.push('floormod');\n newKernels.push('floormod');\n }\n /*\n if (!env.kernels.includes('atan2') && config.softwareKernels) {\n const kernelAtan2 = {\n kernelName: 'Atan2',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => {\n const backend = tf.getBackend();\n tf.setBackend('cpu');\n const t = tf.atan2(op.inputs.a, op.inputs.b);\n tf.setBackend(backend);\n return t;\n }),\n };\n if (config.debug) log('registered kernel:', 'atan2');\n log('registered kernel:', 'atan2');\n tf.registerKernel(kernelAtan2);\n env.kernels.push('atan2');\n newKernels.push('atan2');\n }\n */\n if (!env.kernels.includes('rotatewithoffset') && config.softwareKernels) {\n const kernelRotateWithOffset = {\n kernelName: 'RotateWithOffset',\n backendName: tf.getBackend(),\n kernelFunc: (op) => tf.tidy(() => {\n const backend = tf.getBackend();\n tf.setBackend('cpu'); // eslint-disable-line @typescript-eslint/no-floating-promises\n const t = tf.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center);\n tf.setBackend(backend); // eslint-disable-line @typescript-eslint/no-floating-promises\n return t;\n }),\n };\n tf.registerKernel(kernelRotateWithOffset);\n env.kernels.push('rotatewithoffset');\n newKernels.push('rotatewithoffset');\n }\n if ((newKernels.length > 0) && config.debug) log('registered kernels:', newKernels);\n}\n\nlet defaultFlags: Record = {};\n\nexport async function check(instance: Human, force = false) {\n instance.state = 'backend';\n if (instance.config.backend?.length === 0) instance.config.backend = await getBestBackend();\n if (force || env.initial || (instance.config.backend && (instance.config.backend.length > 0) && (tf.getBackend() !== instance.config.backend))) {\n const timeStamp = now();\n\n if (instance.config.backend && instance.config.backend.length > 0) {\n // detect web worker\n // @ts-ignore ignore missing type for WorkerGlobalScope as that is the point\n if (typeof window === 'undefined' && typeof WorkerGlobalScope !== 'undefined' && instance.config.debug) {\n if (instance.config.debug) log('running inside web worker');\n }\n\n if (typeof navigator !== 'undefined' && navigator?.userAgent?.toLowerCase().includes('electron')) {\n if (instance.config.debug) log('running inside electron');\n }\n\n // check available backends\n let available = Object.keys(tf.engine().registryFactory as Record);\n if (instance.config.backend === 'humangl' && !available.includes('humangl')) {\n humangl.register(instance);\n available = Object.keys(tf.engine().registryFactory as Record);\n }\n if (instance.config.debug) log('available backends:', available);\n\n // force browser vs node backend\n if (env.browser && !env.node && (instance.config.backend === 'tensorflow') && available.includes('webgl')) {\n if (instance.config.debug) log('override: backend set to tensorflow while running in browser');\n instance.config.backend = 'webgl';\n }\n if (env.node && !env.browser && (instance.config.backend === 'webgl' || instance.config.backend === 'humangl') && available.includes('tensorflow')) {\n if (instance.config.debug) log(`override: backend set to ${instance.config.backend} while running in nodejs`);\n instance.config.backend = 'tensorflow';\n }\n\n // handle webgpu\n if (env.browser && instance.config.backend === 'webgpu') {\n if (typeof navigator === 'undefined' || typeof navigator.gpu === 'undefined') {\n log('override: backend set to webgpu but browser does not support webgpu');\n instance.config.backend = 'webgl';\n } else {\n const adapter = await navigator.gpu.requestAdapter();\n if (instance.config.debug) log('enumerated webgpu adapter:', adapter);\n if (!adapter) {\n log('override: backend set to webgpu but browser reports no available gpu');\n instance.config.backend = 'webgl';\n } else {\n // @ts-ignore requestAdapterInfo is not in tslib\n const adapterInfo = 'requestAdapterInfo' in adapter ? await adapter.requestAdapterInfo() : undefined;\n // if (adapter.features) adapter.features.forEach((feature) => log('webgpu features:', feature));\n log('webgpu adapter info:', adapterInfo);\n }\n }\n }\n\n if (!available.includes(instance.config.backend)) {\n log(`error: backend ${instance.config.backend} not found in registry`);\n instance.config.backend = env.node ? 'tensorflow' : 'webgl';\n if (instance.config.debug) log(`override: setting backend ${instance.config.backend}`);\n }\n\n if (instance.config.debug) log('setting backend:', [instance.config.backend]);\n\n // customize wasm\n if (instance.config.backend === 'wasm') {\n // @ts-ignore private property\n if (tf.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) tf.env().set('CANVAS2D_WILL_READ_FREQUENTLY', true);\n if (instance.config.debug) log('wasm path:', instance.config.wasmPath);\n if (typeof tf.setWasmPaths !== 'undefined') tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);\n else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');\n let mt = false;\n let simd = false;\n try {\n mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT') as boolean;\n simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT') as boolean;\n if (instance.config.debug) log(`wasm execution: ${simd ? 'simd' : 'no simd'} ${mt ? 'multithreaded' : 'singlethreaded'}`);\n if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');\n } catch {\n log('wasm detection failed');\n }\n }\n\n try {\n await tf.setBackend(instance.config.backend);\n await tf.ready();\n } catch (err) {\n log('error: cannot set backend:', instance.config.backend, err);\n return false;\n }\n // @ts-ignore private property\n if (instance.config.debug) defaultFlags = JSON.parse(JSON.stringify(tf.env().flags));\n }\n\n // customize humangl\n if (tf.getBackend() === 'humangl' || tf.getBackend() === 'webgl') {\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) tf.env().set('WEBGL_USE_SHAPES_UNIFORMS', true); // default=false \n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_EXP_CONV) tf.env().set('WEBGL_EXP_CONV', true); // default=false \n // if (tf.env().flagRegistry['WEBGL_PACK_DEPTHWISECONV']) tf.env().set('WEBGL_PACK_DEPTHWISECONV', false); // default=true \n // if (tf.env().flagRegistry.USE_SETTIMEOUTCUSTOM) tf.env().set('USE_SETTIMEOUTCUSTOM', true); // default=false \n // if (tf.env().flagRegistry.CPU_HANDOFF_SIZE_THRESHOLD) tf.env().set('CPU_HANDOFF_SIZE_THRESHOLD', 1024); // default=1000\n // if (tf.env().flagRegistry['WEBGL_FORCE_F16_TEXTURES'] && !instance.config.object.enabled) tf.env().set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision\n if (instance.config.debug && typeof instance.config.deallocate !== 'undefined' && instance.config.deallocate) { // hidden param\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', true);\n tf.env().set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);\n }\n }\n\n // customize webgpu\n if (tf.getBackend() === 'webgpu') {\n // if (tf.env().flagRegistry['WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD']) tf.env().set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);\n // if (tf.env().flagRegistry['WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE']) tf.env().set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);\n // if (tf.env().flagRegistry['WEBGPU_CPU_FORWARD']) tf.env().set('WEBGPU_CPU_FORWARD', true);\n }\n\n if (instance.config.debug) {\n // @ts-ignore private property\n const newFlags = tf.env().flags;\n const updatedFlags = {};\n for (const key of Object.keys(newFlags)) {\n if (defaultFlags[key] === newFlags[key]) continue;\n updatedFlags[key] = newFlags[key];\n }\n if (instance.config.debug && Object.keys(updatedFlags).length > 0) log('backend:', tf.getBackend(), 'flags:', updatedFlags);\n }\n\n if (instance.config.flags && Object.keys(instance.config.flags).length > 0) {\n if (instance.config.debug) log('flags:', instance.config['flags']);\n for (const [key, val] of Object.entries(instance.config.flags)) {\n tf.env().set(key, val as number | boolean);\n }\n }\n\n tf.enableProdMode();\n constants.init();\n instance.performance.initBackend = Math.trunc(now() - timeStamp);\n instance.config.backend = tf.getBackend() as BackendEnum;\n await env.updateBackend(); // update env on backend init\n registerCustomOps(instance.config);\n // await env.updateBackend(); // update env on backend init\n // env.initial = false;\n }\n return true;\n}\n\n// register fake missing tfjs ops\nexport function fakeOps(kernelNames: string[], config) {\n // if (config.debug) log('registerKernel:', kernelNames);\n for (const kernelName of kernelNames) {\n const kernelConfig = {\n kernelName,\n backendName: config.backend,\n kernelFunc: (param): TensorInfo => {\n if (config.debug) log('kernelFunc', kernelName, config.backend, param);\n return param?.inputs?.info as TensorInfo;\n },\n // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\n // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\n };\n tf.registerKernel(kernelConfig);\n }\n env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); // re-scan registered ops\n}\n", "/**\n * Module that implements helper draw functions, exposed as human.draw\n */\n\nimport { mergeDeep, now } from '../util/util';\nimport { env } from '../util/env';\nimport { getCanvasContext, rect } from './primitives';\nimport { options } from './options';\nimport { face } from './face';\nimport { body } from './body';\nimport { hand } from './hand';\nimport { object } from './object';\nimport { gesture } from './gesture';\nimport { defaultLabels } from './labels';\nimport type { Result, PersonResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\nlet drawTime = 0;\n\nexport { options } from './options';\nexport { face } from './face';\nexport { body } from './body';\nexport { hand } from './hand';\nexport { object } from './object';\nexport { gesture } from './gesture';\n\n/** draw combined person results instead of individual detection result objects */\nexport function person(inCanvas: AnyCanvas, result: PersonResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n\n for (let i = 0; i < result.length; i++) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n if (localOptions.drawLabels) {\n const label = `person #${i}`;\n if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n ctx.fillStyle = localOptions.shadowColor;\n ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n }\n ctx.fillStyle = localOptions.labelColor;\n ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n }\n ctx.stroke();\n }\n }\n}\n\n/** draw processed canvas */\nexport function canvas(input: AnyCanvas | HTMLImageElement | HTMLVideoElement, output: AnyCanvas) {\n if (!input || !output) return;\n const ctx = getCanvasContext(output) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.drawImage(input, 0, 0);\n}\n\n/** meta-function that performs draw for: canvas, face, body, hand */\nexport async function all(inCanvas: AnyCanvas, result: Result, drawOptions?: Partial) {\n if (!result?.performance || !inCanvas) return null;\n const timeStamp = now();\n const localOptions = mergeDeep(options, drawOptions);\n const promise = Promise.all([\n face(inCanvas, result.face, localOptions),\n body(inCanvas, result.body, localOptions),\n hand(inCanvas, result.hand, localOptions),\n object(inCanvas, result.object, localOptions),\n gesture(inCanvas, result.gesture, localOptions), // gestures do not have buffering\n // person(inCanvas, result.persons, localOptions); // already included above\n ]);\n drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp);\n result.performance.draw = drawTime;\n return promise;\n}\n\n/** sets default label templates for face/body/hand/object/gestures */\nexport function init() {\n options.faceLabels = defaultLabels.face;\n options.bodyLabels = defaultLabels.body;\n options.bodyPartLabels = defaultLabels.bodyPart;\n options.handLabels = defaultLabels.hand;\n options.fingerLabels = defaultLabels.finger;\n options.objectLabels = defaultLabels.object;\n options.gestureLabels = defaultLabels.gesture;\n}\n", "import { log } from '../util/util';\nimport type { AnyCanvas } from '../exports';\nimport type { Point } from '../result';\nimport type { DrawOptions } from './options';\n\nexport const getCanvasContext = (input: AnyCanvas) => {\n if (!input) log('draw error: invalid canvas');\n else if (!input.getContext) log('draw error: canvas context not defined');\n else {\n const ctx = input.getContext('2d');\n if (!ctx) log('draw error: cannot get canvas context');\n else return ctx;\n }\n return null;\n};\n\nexport const rad2deg = (theta: number) => Math.round((theta * 180) / Math.PI);\n\nexport const replace = (str: string, source: string, target: string | number) => str.replace(source, typeof target === 'number' ? target.toFixed(1) : target);\n\nexport const colorDepth = (z: number | undefined, opt: DrawOptions): string => { // performance optimization needed\n if (!opt.useDepth || typeof z === 'undefined') return opt.color;\n const rgb = Uint8ClampedArray.from([127 + (2 * z), 127 - (2 * z), 255]);\n return `rgba(${rgb[0]}, ${rgb[1]}, ${rgb[2]}, ${opt.alpha})`;\n};\n\nexport function labels(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, str: string, startX: number, startY: number, localOptions: DrawOptions) {\n const line: string[] = str.replace(/\\[.*\\]/g, '').split('\\n').map((l) => l.trim()); // remove unmatched templates and split into array\n const x = Math.max(0, startX);\n for (let i = line.length - 1; i >= 0; i--) {\n const y = i * localOptions.lineHeight + startY;\n if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n ctx.fillStyle = localOptions.shadowColor;\n ctx.fillText(line[i], x + 5, y + 16);\n }\n ctx.fillStyle = localOptions.labelColor;\n ctx.fillText(line[i], x + 4, y + 15);\n }\n}\n\nexport function point(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, x: number, y: number, z: number | undefined, localOptions: DrawOptions) {\n ctx.fillStyle = colorDepth(z, localOptions);\n ctx.beginPath();\n ctx.arc(x, y, localOptions.pointSize, 0, 2 * Math.PI);\n ctx.fill();\n}\n\nexport function rect(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, x: number, y: number, width: number, height: number, localOptions: DrawOptions) {\n ctx.beginPath();\n ctx.lineWidth = localOptions.lineWidth;\n if (localOptions.useCurves) {\n const cx = (x + x + width) / 2;\n const cy = (y + y + height) / 2;\n ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI);\n } else {\n ctx.moveTo(x + localOptions.roundRect, y);\n ctx.lineTo(x + width - localOptions.roundRect, y);\n ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions.roundRect);\n ctx.lineTo(x + width, y + height - localOptions.roundRect);\n ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions.roundRect, y + height);\n ctx.lineTo(x + localOptions.roundRect, y + height);\n ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions.roundRect);\n ctx.lineTo(x, y + localOptions.roundRect);\n ctx.quadraticCurveTo(x, y, x + localOptions.roundRect, y);\n ctx.closePath();\n }\n ctx.stroke();\n}\n\nexport function lines(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, points: Point[], localOptions: DrawOptions) {\n if (points.length < 2) return;\n ctx.beginPath();\n ctx.moveTo(points[0][0], points[0][1]);\n for (const pt of points) {\n ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions);\n ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1]));\n }\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.closePath();\n ctx.fill();\n }\n}\n\nexport function curves(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, points: Point[], localOptions: DrawOptions) {\n if (points.length < 2) return;\n ctx.lineWidth = localOptions.lineWidth;\n if (!localOptions.useCurves || points.length <= 2) {\n lines(ctx, points, localOptions);\n return;\n }\n ctx.moveTo(points[0][0], points[0][1]);\n for (let i = 0; i < points.length - 2; i++) {\n const xc = (points[i][0] + points[i + 1][0]) / 2;\n const yc = (points[i][1] + points[i + 1][1]) / 2;\n ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc);\n }\n ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.closePath();\n ctx.fill();\n }\n}\n\nexport function arrow(ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D, from: Point, to: Point, radius = 5) {\n let angle;\n let x;\n let y;\n ctx.beginPath();\n ctx.moveTo(from[0], from[1]);\n ctx.lineTo(to[0], to[1]);\n angle = Math.atan2(to[1] - from[1], to[0] - from[0]);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.moveTo(x, y);\n angle += (1.0 / 3.0) * (2 * Math.PI);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.lineTo(x, y);\n angle += (1.0 / 3.0) * (2 * Math.PI);\n x = radius * Math.cos(angle) + to[0];\n y = radius * Math.sin(angle) + to[1];\n ctx.lineTo(x, y);\n ctx.closePath();\n ctx.stroke();\n ctx.fill();\n}\n", "/** Draw Options\n * - Accessed via `human.draw.options` or provided per each draw method as the drawOptions optional parameter\n */\n\nexport interface DrawOptions {\n /** draw line color */\n color: string,\n /** alpha value used for lines */\n alpha: number,\n /** label color */\n labelColor: string,\n /** label shadow color */\n shadowColor: string,\n /** label font */\n font: string,\n /** line spacing between labels */\n lineHeight: number,\n /** line width for drawn lines */\n lineWidth: number,\n /** size of drawn points */\n pointSize: number,\n /** draw rounded boxes by n pixels */\n roundRect: number,\n /** should points be drawn? */\n drawPoints: boolean,\n /** should labels be drawn? */\n drawLabels: boolean,\n /** should face attention keypoints be highlighted */\n drawAttention: boolean;\n /** should detected gestures be drawn? */\n drawGestures: boolean,\n /** should draw boxes around detection results? */\n drawBoxes: boolean,\n /** should draw polygons from detection points? */\n drawPolygons: boolean,\n /** should draw gaze arrows? */\n drawGaze: boolean,\n /** should fill polygons? */\n fillPolygons: boolean,\n /** use z-coordinate when available */\n useDepth: boolean,\n /** should lines be curved? */\n useCurves: boolean,\n /** string template for face labels */\n faceLabels: string,\n /** string template for body labels */\n bodyLabels: string,\n /** string template for body part labels */\n bodyPartLabels: string,\n /** string template for hand labels */\n handLabels: string,\n /** string template for hand labels */\n fingerLabels: string,\n /** string template for object labels */\n objectLabels: string,\n /** string template for gesture labels */\n gestureLabels: string,\n}\n\n/** currently set draw options {@link DrawOptions} */\nexport const options: DrawOptions = {\n color: 'rgba(173, 216, 230, 0.6)' as string, // 'lightblue' with light alpha channel\n labelColor: 'rgba(173, 216, 230, 1)' as string, // 'lightblue' with dark alpha channel\n shadowColor: 'black' as string,\n alpha: 0.5 as number,\n font: 'small-caps 16px \"Segoe UI\"' as string,\n lineHeight: 18 as number,\n lineWidth: 4 as number,\n pointSize: 2 as number,\n roundRect: 8 as number,\n drawPoints: false as boolean,\n drawLabels: true as boolean,\n drawBoxes: true as boolean,\n drawAttention: true as boolean,\n drawGestures: true as boolean,\n drawPolygons: true as boolean,\n drawGaze: true as boolean,\n fillPolygons: false as boolean,\n useDepth: true as boolean,\n useCurves: false as boolean,\n faceLabels: '' as string,\n bodyLabels: '' as string,\n bodyPartLabels: '' as string,\n objectLabels: '' as string,\n handLabels: '' as string,\n fingerLabels: '' as string,\n gestureLabels: '' as string,\n};\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nexport const meshAnnotations: Record = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11\n // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10\n // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11\n // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11\n lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409],\n lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306],\n lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408],\n lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292],\n lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], // 7\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], // 9\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], // 7\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], // 9\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], // 7\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], // 9\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], // 9\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], // 8\n rightEyebrowLower: [35, 124, 46, 53, 52, 65], // 6\n rightEyeIris: [473, 474, 475, 476, 477], // 5\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const meshLandmarks: Record = {\n count: 468,\n mouth: 13,\n symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]],\n};\n\nexport const blazeFaceLandmarks: Record = {\n leftEye: 0,\n rightEye: 1,\n nose: 2,\n mouth: 3,\n leftEar: 4,\n rightEar: 5,\n symmetryLine: [3, 2],\n};\n\nexport const irisIndices: { key: string, indices: number[] }[] = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] }, // 7 x 3d\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] }, // 7 x 3d\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] }, // 7 x 3d\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, // 7 x 3d\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, // 9 x 3d\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, // 9 x 3d\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, // 9 x 3d\n { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] }, // 8 x 3d\n { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] }, // 6 x 3d\n];\n\nexport const UV468: [number, number][] = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468: number[] = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68: number[] = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33: number[] = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7: number[] = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68: number[] = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33: number[] = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7: number[] = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n\n// https://github.com/tensorflow/tfjs-models/blob/master/face-landmarks-detection/src/constants.ts\n// https://github.com/google/mediapipe/mediapipe/python/solutions/face_mesh_connections.py\n\ntype PairArray = [number, number][];\n\nfunction connectionsToIndices(connections: PairArray) {\n const indices = connections.map((connection) => connection[0]);\n indices.push(connections[connections.length - 1][1]);\n return indices;\n}\n\nexport const pairsLips: PairArray = [\n [61, 146], [146, 91], [91, 181], [181, 84], [84, 17], [17, 314], [314, 405], [405, 321], [321, 375], [375, 291], [61, 185], [185, 40], [40, 39], [39, 37], [37, 0], [0, 267], [267, 269], [269, 270], [270, 409], [409, 291],\n [78, 95], [95, 88], [88, 178], [178, 87], [87, 14], [14, 317], [317, 402], [402, 318], [318, 324], [324, 308], [78, 191], [191, 80], [80, 81], [81, 82], [82, 13], [13, 312], [312, 311], [311, 310], [310, 415], [415, 308],\n];\n\nexport const pairsLeftEye: PairArray = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]];\n\nexport const pairsLeftEyebrow: PairArray = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]];\n\nexport const pairsLeftIris: PairArray = [[474, 475], [475, 476], [476, 477], [477, 474]];\n\nexport const pairsRightEye: PairArray = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]];\n\nexport const pairsRightEyebrow: PairArray = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]];\n\nexport const pairsRightIris: PairArray = [[469, 470], [470, 471], [471, 472], [472, 469]];\n\nexport const pairsFaceContour: PairArray = [\n [10, 338], [338, 297], [297, 332], [332, 284], [284, 251], [251, 389],\n [389, 356], [356, 454], [454, 323], [323, 361], [361, 288], [288, 397],\n [397, 365], [365, 379], [379, 378], [378, 400], [400, 377], [377, 152],\n [152, 148], [148, 176], [176, 149], [149, 150], [150, 136], [136, 172],\n [172, 58], [58, 132], [132, 93], [93, 234], [234, 127], [127, 162],\n [162, 21], [21, 54], [54, 103], [103, 67], [67, 109], [109, 10],\n];\n\nexport const contourKeypoints = {\n lips: connectionsToIndices(pairsLips),\n leftEye: connectionsToIndices(pairsLeftEye),\n leftEyebrow: connectionsToIndices(pairsLeftEyebrow),\n leftIris: connectionsToIndices(pairsLeftIris),\n rightEye: connectionsToIndices(pairsRightEye),\n rightEyebrow: connectionsToIndices(pairsRightEyebrow),\n rightIris: connectionsToIndices(pairsRightIris),\n faceOval: connectionsToIndices(pairsFaceContour),\n};\n\nexport const pairsFaceMesh: PairArray = [\n [127, 34], [34, 139], [139, 127], [11, 0], [0, 37], [37, 11],\n [232, 231], [231, 120], [120, 232], [72, 37], [37, 39], [39, 72],\n [128, 121], [121, 47], [47, 128], [232, 121], [121, 128], [128, 232],\n [104, 69], [69, 67], [67, 104], [175, 171], [171, 148], [148, 175],\n [118, 50], [50, 101], [101, 118], [73, 39], [39, 40], [40, 73],\n [9, 151], [151, 108], [108, 9], [48, 115], [115, 131], [131, 48],\n [194, 204], [204, 211], [211, 194], [74, 40], [40, 185], [185, 74],\n [80, 42], [42, 183], [183, 80], [40, 92], [92, 186], [186, 40],\n [230, 229], [229, 118], [118, 230], [202, 212], [212, 214], [214, 202],\n [83, 18], [18, 17], [17, 83], [76, 61], [61, 146], [146, 76],\n [160, 29], [29, 30], [30, 160], [56, 157], [157, 173], [173, 56],\n [106, 204], [204, 194], [194, 106], [135, 214], [214, 192], [192, 135],\n [203, 165], [165, 98], [98, 203], [21, 71], [71, 68], [68, 21],\n [51, 45], [45, 4], [4, 51], [144, 24], [24, 23], [23, 144],\n [77, 146], [146, 91], [91, 77], [205, 50], [50, 187], [187, 205],\n [201, 200], [200, 18], [18, 201], [91, 106], [106, 182], [182, 91],\n [90, 91], [91, 181], [181, 90], [85, 84], [84, 17], [17, 85],\n [206, 203], [203, 36], [36, 206], [148, 171], [171, 140], [140, 148],\n [92, 40], [40, 39], [39, 92], [193, 189], [189, 244], [244, 193],\n [159, 158], [158, 28], [28, 159], [247, 246], [246, 161], [161, 247],\n [236, 3], [3, 196], [196, 236], [54, 68], [68, 104], [104, 54],\n [193, 168], [168, 8], [8, 193], [117, 228], [228, 31], [31, 117],\n [189, 193], [193, 55], [55, 189], [98, 97], [97, 99], [99, 98],\n [126, 47], [47, 100], [100, 126], [166, 79], [79, 218], [218, 166],\n [155, 154], [154, 26], [26, 155], [209, 49], [49, 131], [131, 209],\n [135, 136], [136, 150], [150, 135], [47, 126], [126, 217], [217, 47],\n [223, 52], [52, 53], [53, 223], [45, 51], [51, 134], [134, 45],\n [211, 170], [170, 140], [140, 211], [67, 69], [69, 108], [108, 67],\n [43, 106], [106, 91], [91, 43], [230, 119], [119, 120], [120, 230],\n [226, 130], [130, 247], [247, 226], [63, 53], [53, 52], [52, 63],\n [238, 20], [20, 242], [242, 238], [46, 70], [70, 156], [156, 46],\n [78, 62], [62, 96], [96, 78], [46, 53], [53, 63], [63, 46],\n [143, 34], [34, 227], [227, 143], [123, 117], [117, 111], [111, 123],\n [44, 125], [125, 19], [19, 44], [236, 134], [134, 51], [51, 236],\n [216, 206], [206, 205], [205, 216], [154, 153], [153, 22], [22, 154],\n [39, 37], [37, 167], [167, 39], [200, 201], [201, 208], [208, 200],\n [36, 142], [142, 100], [100, 36], [57, 212], [212, 202], [202, 57],\n [20, 60], [60, 99], [99, 20], [28, 158], [158, 157], [157, 28],\n [35, 226], [226, 113], [113, 35], [160, 159], [159, 27], [27, 160],\n [204, 202], [202, 210], [210, 204], [113, 225], [225, 46], [46, 113],\n [43, 202], [202, 204], [204, 43], [62, 76], [76, 77], [77, 62],\n [137, 123], [123, 116], [116, 137], [41, 38], [38, 72], [72, 41],\n [203, 129], [129, 142], [142, 203], [64, 98], [98, 240], [240, 64],\n [49, 102], [102, 64], [64, 49], [41, 73], [73, 74], [74, 41],\n [212, 216], [216, 207], [207, 212], [42, 74], [74, 184], [184, 42],\n [169, 170], [170, 211], [211, 169], [170, 149], [149, 176], [176, 170],\n [105, 66], [66, 69], [69, 105], [122, 6], [6, 168], [168, 122],\n [123, 147], [147, 187], [187, 123], [96, 77], [77, 90], [90, 96],\n [65, 55], [55, 107], [107, 65], [89, 90], [90, 180], [180, 89],\n [101, 100], [100, 120], [120, 101], [63, 105], [105, 104], [104, 63],\n [93, 137], [137, 227], [227, 93], [15, 86], [86, 85], [85, 15],\n [129, 102], [102, 49], [49, 129], [14, 87], [87, 86], [86, 14],\n [55, 8], [8, 9], [9, 55], [100, 47], [47, 121], [121, 100],\n [145, 23], [23, 22], [22, 145], [88, 89], [89, 179], [179, 88],\n [6, 122], [122, 196], [196, 6], [88, 95], [95, 96], [96, 88],\n [138, 172], [172, 136], [136, 138], [215, 58], [58, 172], [172, 215],\n [115, 48], [48, 219], [219, 115], [42, 80], [80, 81], [81, 42],\n [195, 3], [3, 51], [51, 195], [43, 146], [146, 61], [61, 43],\n [171, 175], [175, 199], [199, 171], [81, 82], [82, 38], [38, 81],\n [53, 46], [46, 225], [225, 53], [144, 163], [163, 110], [110, 144],\n [52, 65], [65, 66], [66, 52], [229, 228], [228, 117], [117, 229],\n [34, 127], [127, 234], [234, 34], [107, 108], [108, 69], [69, 107],\n [109, 108], [108, 151], [151, 109], [48, 64], [64, 235], [235, 48],\n [62, 78], [78, 191], [191, 62], [129, 209], [209, 126], [126, 129],\n [111, 35], [35, 143], [143, 111], [117, 123], [123, 50], [50, 117],\n [222, 65], [65, 52], [52, 222], [19, 125], [125, 141], [141, 19],\n [221, 55], [55, 65], [65, 221], [3, 195], [195, 197], [197, 3],\n [25, 7], [7, 33], [33, 25], [220, 237], [237, 44], [44, 220],\n [70, 71], [71, 139], [139, 70], [122, 193], [193, 245], [245, 122],\n [247, 130], [130, 33], [33, 247], [71, 21], [21, 162], [162, 71],\n [170, 169], [169, 150], [150, 170], [188, 174], [174, 196], [196, 188],\n [216, 186], [186, 92], [92, 216], [2, 97], [97, 167], [167, 2],\n [141, 125], [125, 241], [241, 141], [164, 167], [167, 37], [37, 164],\n [72, 38], [38, 12], [12, 72], [38, 82], [82, 13], [13, 38],\n [63, 68], [68, 71], [71, 63], [226, 35], [35, 111], [111, 226],\n [101, 50], [50, 205], [205, 101], [206, 92], [92, 165], [165, 206],\n [209, 198], [198, 217], [217, 209], [165, 167], [167, 97], [97, 165],\n [220, 115], [115, 218], [218, 220], [133, 112], [112, 243], [243, 133],\n [239, 238], [238, 241], [241, 239], [214, 135], [135, 169], [169, 214],\n [190, 173], [173, 133], [133, 190], [171, 208], [208, 32], [32, 171],\n [125, 44], [44, 237], [237, 125], [86, 87], [87, 178], [178, 86],\n [85, 86], [86, 179], [179, 85], [84, 85], [85, 180], [180, 84],\n [83, 84], [84, 181], [181, 83], [201, 83], [83, 182], [182, 201],\n [137, 93], [93, 132], [132, 137], [76, 62], [62, 183], [183, 76],\n [61, 76], [76, 184], [184, 61], [57, 61], [61, 185], [185, 57],\n [212, 57], [57, 186], [186, 212], [214, 207], [207, 187], [187, 214],\n [34, 143], [143, 156], [156, 34], [79, 239], [239, 237], [237, 79],\n [123, 137], [137, 177], [177, 123], [44, 1], [1, 4], [4, 44],\n [201, 194], [194, 32], [32, 201], [64, 102], [102, 129], [129, 64],\n [213, 215], [215, 138], [138, 213], [59, 166], [166, 219], [219, 59],\n [242, 99], [99, 97], [97, 242], [2, 94], [94, 141], [141, 2],\n [75, 59], [59, 235], [235, 75], [24, 110], [110, 228], [228, 24],\n [25, 130], [130, 226], [226, 25], [23, 24], [24, 229], [229, 23],\n [22, 23], [23, 230], [230, 22], [26, 22], [22, 231], [231, 26],\n [112, 26], [26, 232], [232, 112], [189, 190], [190, 243], [243, 189],\n [221, 56], [56, 190], [190, 221], [28, 56], [56, 221], [221, 28],\n [27, 28], [28, 222], [222, 27], [29, 27], [27, 223], [223, 29],\n [30, 29], [29, 224], [224, 30], [247, 30], [30, 225], [225, 247],\n [238, 79], [79, 20], [20, 238], [166, 59], [59, 75], [75, 166],\n [60, 75], [75, 240], [240, 60], [147, 177], [177, 215], [215, 147],\n [20, 79], [79, 166], [166, 20], [187, 147], [147, 213], [213, 187],\n [112, 233], [233, 244], [244, 112], [233, 128], [128, 245], [245, 233],\n [128, 114], [114, 188], [188, 128], [114, 217], [217, 174], [174, 114],\n [131, 115], [115, 220], [220, 131], [217, 198], [198, 236], [236, 217],\n [198, 131], [131, 134], [134, 198], [177, 132], [132, 58], [58, 177],\n [143, 35], [35, 124], [124, 143], [110, 163], [163, 7], [7, 110],\n [228, 110], [110, 25], [25, 228], [356, 389], [389, 368], [368, 356],\n [11, 302], [302, 267], [267, 11], [452, 350], [350, 349], [349, 452],\n [302, 303], [303, 269], [269, 302], [357, 343], [343, 277], [277, 357],\n [452, 453], [453, 357], [357, 452], [333, 332], [332, 297], [297, 333],\n [175, 152], [152, 377], [377, 175], [347, 348], [348, 330], [330, 347],\n [303, 304], [304, 270], [270, 303], [9, 336], [336, 337], [337, 9],\n [278, 279], [279, 360], [360, 278], [418, 262], [262, 431], [431, 418],\n [304, 408], [408, 409], [409, 304], [310, 415], [415, 407], [407, 310],\n [270, 409], [409, 410], [410, 270], [450, 348], [348, 347], [347, 450],\n [422, 430], [430, 434], [434, 422], [313, 314], [314, 17], [17, 313],\n [306, 307], [307, 375], [375, 306], [387, 388], [388, 260], [260, 387],\n [286, 414], [414, 398], [398, 286], [335, 406], [406, 418], [418, 335],\n [364, 367], [367, 416], [416, 364], [423, 358], [358, 327], [327, 423],\n [251, 284], [284, 298], [298, 251], [281, 5], [5, 4], [4, 281],\n [373, 374], [374, 253], [253, 373], [307, 320], [320, 321], [321, 307],\n [425, 427], [427, 411], [411, 425], [421, 313], [313, 18], [18, 421],\n [321, 405], [405, 406], [406, 321], [320, 404], [404, 405], [405, 320],\n [315, 16], [16, 17], [17, 315], [426, 425], [425, 266], [266, 426],\n [377, 400], [400, 369], [369, 377], [322, 391], [391, 269], [269, 322],\n [417, 465], [465, 464], [464, 417], [386, 257], [257, 258], [258, 386],\n [466, 260], [260, 388], [388, 466], [456, 399], [399, 419], [419, 456],\n [284, 332], [332, 333], [333, 284], [417, 285], [285, 8], [8, 417],\n [346, 340], [340, 261], [261, 346], [413, 441], [441, 285], [285, 413],\n [327, 460], [460, 328], [328, 327], [355, 371], [371, 329], [329, 355],\n [392, 439], [439, 438], [438, 392], [382, 341], [341, 256], [256, 382],\n [429, 420], [420, 360], [360, 429], [364, 394], [394, 379], [379, 364],\n [277, 343], [343, 437], [437, 277], [443, 444], [444, 283], [283, 443],\n [275, 440], [440, 363], [363, 275], [431, 262], [262, 369], [369, 431],\n [297, 338], [338, 337], [337, 297], [273, 375], [375, 321], [321, 273],\n [450, 451], [451, 349], [349, 450], [446, 342], [342, 467], [467, 446],\n [293, 334], [334, 282], [282, 293], [458, 461], [461, 462], [462, 458],\n [276, 353], [353, 383], [383, 276], [308, 324], [324, 325], [325, 308],\n [276, 300], [300, 293], [293, 276], [372, 345], [345, 447], [447, 372],\n [352, 345], [345, 340], [340, 352], [274, 1], [1, 19], [19, 274],\n [456, 248], [248, 281], [281, 456], [436, 427], [427, 425], [425, 436],\n [381, 256], [256, 252], [252, 381], [269, 391], [391, 393], [393, 269],\n [200, 199], [199, 428], [428, 200], [266, 330], [330, 329], [329, 266],\n [287, 273], [273, 422], [422, 287], [250, 462], [462, 328], [328, 250],\n [258, 286], [286, 384], [384, 258], [265, 353], [353, 342], [342, 265],\n [387, 259], [259, 257], [257, 387], [424, 431], [431, 430], [430, 424],\n [342, 353], [353, 276], [276, 342], [273, 335], [335, 424], [424, 273],\n [292, 325], [325, 307], [307, 292], [366, 447], [447, 345], [345, 366],\n [271, 303], [303, 302], [302, 271], [423, 266], [266, 371], [371, 423],\n [294, 455], [455, 460], [460, 294], [279, 278], [278, 294], [294, 279],\n [271, 272], [272, 304], [304, 271], [432, 434], [434, 427], [427, 432],\n [272, 407], [407, 408], [408, 272], [394, 430], [430, 431], [431, 394],\n [395, 369], [369, 400], [400, 395], [334, 333], [333, 299], [299, 334],\n [351, 417], [417, 168], [168, 351], [352, 280], [280, 411], [411, 352],\n [325, 319], [319, 320], [320, 325], [295, 296], [296, 336], [336, 295],\n [319, 403], [403, 404], [404, 319], [330, 348], [348, 349], [349, 330],\n [293, 298], [298, 333], [333, 293], [323, 454], [454, 447], [447, 323],\n [15, 16], [16, 315], [315, 15], [358, 429], [429, 279], [279, 358],\n [14, 15], [15, 316], [316, 14], [285, 336], [336, 9], [9, 285],\n [329, 349], [349, 350], [350, 329], [374, 380], [380, 252], [252, 374],\n [318, 402], [402, 403], [403, 318], [6, 197], [197, 419], [419, 6],\n [318, 319], [319, 325], [325, 318], [367, 364], [364, 365], [365, 367],\n [435, 367], [367, 397], [397, 435], [344, 438], [438, 439], [439, 344],\n [272, 271], [271, 311], [311, 272], [195, 5], [5, 281], [281, 195],\n [273, 287], [287, 291], [291, 273], [396, 428], [428, 199], [199, 396],\n [311, 271], [271, 268], [268, 311], [283, 444], [444, 445], [445, 283],\n [373, 254], [254, 339], [339, 373], [282, 334], [334, 296], [296, 282],\n [449, 347], [347, 346], [346, 449], [264, 447], [447, 454], [454, 264],\n [336, 296], [296, 299], [299, 336], [338, 10], [10, 151], [151, 338],\n [278, 439], [439, 455], [455, 278], [292, 407], [407, 415], [415, 292],\n [358, 371], [371, 355], [355, 358], [340, 345], [345, 372], [372, 340],\n [346, 347], [347, 280], [280, 346], [442, 443], [443, 282], [282, 442],\n [19, 94], [94, 370], [370, 19], [441, 442], [442, 295], [295, 441],\n [248, 419], [419, 197], [197, 248], [263, 255], [255, 359], [359, 263],\n [440, 275], [275, 274], [274, 440], [300, 383], [383, 368], [368, 300],\n [351, 412], [412, 465], [465, 351], [263, 467], [467, 466], [466, 263],\n [301, 368], [368, 389], [389, 301], [395, 378], [378, 379], [379, 395],\n [412, 351], [351, 419], [419, 412], [436, 426], [426, 322], [322, 436],\n [2, 164], [164, 393], [393, 2], [370, 462], [462, 461], [461, 370],\n [164, 0], [0, 267], [267, 164], [302, 11], [11, 12], [12, 302],\n [268, 12], [12, 13], [13, 268], [293, 300], [300, 301], [301, 293],\n [446, 261], [261, 340], [340, 446], [330, 266], [266, 425], [425, 330],\n [426, 423], [423, 391], [391, 426], [429, 355], [355, 437], [437, 429],\n [391, 327], [327, 326], [326, 391], [440, 457], [457, 438], [438, 440],\n [341, 382], [382, 362], [362, 341], [459, 457], [457, 461], [461, 459],\n [434, 430], [430, 394], [394, 434], [414, 463], [463, 362], [362, 414],\n [396, 369], [369, 262], [262, 396], [354, 461], [461, 457], [457, 354],\n [316, 403], [403, 402], [402, 316], [315, 404], [404, 403], [403, 315],\n [314, 405], [405, 404], [404, 314], [313, 406], [406, 405], [405, 313],\n [421, 418], [418, 406], [406, 421], [366, 401], [401, 361], [361, 366],\n [306, 408], [408, 407], [407, 306], [291, 409], [409, 408], [408, 291],\n [287, 410], [410, 409], [409, 287], [432, 436], [436, 410], [410, 432],\n [434, 416], [416, 411], [411, 434], [264, 368], [368, 383], [383, 264],\n [309, 438], [438, 457], [457, 309], [352, 376], [376, 401], [401, 352],\n [274, 275], [275, 4], [4, 274], [421, 428], [428, 262], [262, 421],\n [294, 327], [327, 358], [358, 294], [433, 416], [416, 367], [367, 433],\n [289, 455], [455, 439], [439, 289], [462, 370], [370, 326], [326, 462],\n [2, 326], [326, 370], [370, 2], [305, 460], [460, 455], [455, 305],\n [254, 449], [449, 448], [448, 254], [255, 261], [261, 446], [446, 255],\n [253, 450], [450, 449], [449, 253], [252, 451], [451, 450], [450, 252],\n [256, 452], [452, 451], [451, 256], [341, 453], [453, 452], [452, 341],\n [413, 464], [464, 463], [463, 413], [441, 413], [413, 414], [414, 441],\n [258, 442], [442, 441], [441, 258], [257, 443], [443, 442], [442, 257],\n [259, 444], [444, 443], [443, 259], [260, 445], [445, 444], [444, 260],\n [467, 342], [342, 445], [445, 467], [459, 458], [458, 250], [250, 459],\n [289, 392], [392, 290], [290, 289], [290, 328], [328, 460], [460, 290],\n [376, 433], [433, 435], [435, 376], [250, 290], [290, 392], [392, 250],\n [411, 416], [416, 433], [433, 411], [341, 463], [463, 464], [464, 341],\n [453, 464], [464, 465], [465, 453], [357, 465], [465, 412], [412, 357],\n [343, 412], [412, 399], [399, 343], [360, 363], [363, 440], [440, 360],\n [437, 399], [399, 456], [456, 437], [420, 456], [456, 363], [363, 420],\n [401, 435], [435, 288], [288, 401], [372, 383], [383, 353], [353, 372],\n [339, 255], [255, 249], [249, 339], [448, 261], [261, 255], [255, 448],\n [133, 243], [243, 190], [190, 133], [133, 155], [155, 112], [112, 133],\n [33, 246], [246, 247], [247, 33], [33, 130], [130, 25], [25, 33],\n [398, 384], [384, 286], [286, 398], [362, 398], [398, 414], [414, 362],\n [362, 463], [463, 341], [341, 362], [263, 359], [359, 467], [467, 263],\n [263, 249], [249, 255], [255, 263], [466, 467], [467, 260], [260, 466],\n [75, 60], [60, 166], [166, 75], [238, 239], [239, 79], [79, 238],\n [162, 127], [127, 139], [139, 162], [72, 11], [11, 37], [37, 72],\n [121, 232], [232, 120], [120, 121], [73, 72], [72, 39], [39, 73],\n [114, 128], [128, 47], [47, 114], [233, 232], [232, 128], [128, 233],\n [103, 104], [104, 67], [67, 103], [152, 175], [175, 148], [148, 152],\n [119, 118], [118, 101], [101, 119], [74, 73], [73, 40], [40, 74],\n [107, 9], [9, 108], [108, 107], [49, 48], [48, 131], [131, 49],\n [32, 194], [194, 211], [211, 32], [184, 74], [74, 185], [185, 184],\n [191, 80], [80, 183], [183, 191], [185, 40], [40, 186], [186, 185],\n [119, 230], [230, 118], [118, 119], [210, 202], [202, 214], [214, 210],\n [84, 83], [83, 17], [17, 84], [77, 76], [76, 146], [146, 77],\n [161, 160], [160, 30], [30, 161], [190, 56], [56, 173], [173, 190],\n [182, 106], [106, 194], [194, 182], [138, 135], [135, 192], [192, 138],\n [129, 203], [203, 98], [98, 129], [54, 21], [21, 68], [68, 54],\n [5, 51], [51, 4], [4, 5], [145, 144], [144, 23], [23, 145],\n [90, 77], [77, 91], [91, 90], [207, 205], [205, 187], [187, 207],\n [83, 201], [201, 18], [18, 83], [181, 91], [91, 182], [182, 181],\n [180, 90], [90, 181], [181, 180], [16, 85], [85, 17], [17, 16],\n [205, 206], [206, 36], [36, 205], [176, 148], [148, 140], [140, 176],\n [165, 92], [92, 39], [39, 165], [245, 193], [193, 244], [244, 245],\n [27, 159], [159, 28], [28, 27], [30, 247], [247, 161], [161, 30],\n [174, 236], [236, 196], [196, 174], [103, 54], [54, 104], [104, 103],\n [55, 193], [193, 8], [8, 55], [111, 117], [117, 31], [31, 111],\n [221, 189], [189, 55], [55, 221], [240, 98], [98, 99], [99, 240],\n [142, 126], [126, 100], [100, 142], [219, 166], [166, 218], [218, 219],\n [112, 155], [155, 26], [26, 112], [198, 209], [209, 131], [131, 198],\n [169, 135], [135, 150], [150, 169], [114, 47], [47, 217], [217, 114],\n [224, 223], [223, 53], [53, 224], [220, 45], [45, 134], [134, 220],\n [32, 211], [211, 140], [140, 32], [109, 67], [67, 108], [108, 109],\n [146, 43], [43, 91], [91, 146], [231, 230], [230, 120], [120, 231],\n [113, 226], [226, 247], [247, 113], [105, 63], [63, 52], [52, 105],\n [241, 238], [238, 242], [242, 241], [124, 46], [46, 156], [156, 124],\n [95, 78], [78, 96], [96, 95], [70, 46], [46, 63], [63, 70],\n [116, 143], [143, 227], [227, 116], [116, 123], [123, 111], [111, 116],\n [1, 44], [44, 19], [19, 1], [3, 236], [236, 51], [51, 3],\n [207, 216], [216, 205], [205, 207], [26, 154], [154, 22], [22, 26],\n [165, 39], [39, 167], [167, 165], [199, 200], [200, 208], [208, 199],\n [101, 36], [36, 100], [100, 101], [43, 57], [57, 202], [202, 43],\n [242, 20], [20, 99], [99, 242], [56, 28], [28, 157], [157, 56],\n [124, 35], [35, 113], [113, 124], [29, 160], [160, 27], [27, 29],\n [211, 204], [204, 210], [210, 211], [124, 113], [113, 46], [46, 124],\n [106, 43], [43, 204], [204, 106], [96, 62], [62, 77], [77, 96],\n [227, 137], [137, 116], [116, 227], [73, 41], [41, 72], [72, 73],\n [36, 203], [203, 142], [142, 36], [235, 64], [64, 240], [240, 235],\n [48, 49], [49, 64], [64, 48], [42, 41], [41, 74], [74, 42],\n [214, 212], [212, 207], [207, 214], [183, 42], [42, 184], [184, 183],\n [210, 169], [169, 211], [211, 210], [140, 170], [170, 176], [176, 140],\n [104, 105], [105, 69], [69, 104], [193, 122], [122, 168], [168, 193],\n [50, 123], [123, 187], [187, 50], [89, 96], [96, 90], [90, 89],\n [66, 65], [65, 107], [107, 66], [179, 89], [89, 180], [180, 179],\n [119, 101], [101, 120], [120, 119], [68, 63], [63, 104], [104, 68],\n [234, 93], [93, 227], [227, 234], [16, 15], [15, 85], [85, 16],\n [209, 129], [129, 49], [49, 209], [15, 14], [14, 86], [86, 15],\n [107, 55], [55, 9], [9, 107], [120, 100], [100, 121], [121, 120],\n [153, 145], [145, 22], [22, 153], [178, 88], [88, 179], [179, 178],\n [197, 6], [6, 196], [196, 197], [89, 88], [88, 96], [96, 89],\n [135, 138], [138, 136], [136, 135], [138, 215], [215, 172], [172, 138],\n [218, 115], [115, 219], [219, 218], [41, 42], [42, 81], [81, 41],\n [5, 195], [195, 51], [51, 5], [57, 43], [43, 61], [61, 57],\n [208, 171], [171, 199], [199, 208], [41, 81], [81, 38], [38, 41],\n [224, 53], [53, 225], [225, 224], [24, 144], [144, 110], [110, 24],\n [105, 52], [52, 66], [66, 105], [118, 229], [229, 117], [117, 118],\n [227, 34], [34, 234], [234, 227], [66, 107], [107, 69], [69, 66],\n [10, 109], [109, 151], [151, 10], [219, 48], [48, 235], [235, 219],\n [183, 62], [62, 191], [191, 183], [142, 129], [129, 126], [126, 142],\n [116, 111], [111, 143], [143, 116], [118, 117], [117, 50], [50, 118],\n [223, 222], [222, 52], [52, 223], [94, 19], [19, 141], [141, 94],\n [222, 221], [221, 65], [65, 222], [196, 3], [3, 197], [197, 196],\n [45, 220], [220, 44], [44, 45], [156, 70], [70, 139], [139, 156],\n [188, 122], [122, 245], [245, 188], [139, 71], [71, 162], [162, 139],\n [149, 170], [170, 150], [150, 149], [122, 188], [188, 196], [196, 122],\n [206, 216], [216, 92], [92, 206], [164, 2], [2, 167], [167, 164],\n [242, 141], [141, 241], [241, 242], [0, 164], [164, 37], [37, 0],\n [11, 72], [72, 12], [12, 11], [12, 38], [38, 13], [13, 12],\n [70, 63], [63, 71], [71, 70], [31, 226], [226, 111], [111, 31],\n [36, 101], [101, 205], [205, 36], [203, 206], [206, 165], [165, 203],\n [126, 209], [209, 217], [217, 126], [98, 165], [165, 97], [97, 98],\n [237, 220], [220, 218], [218, 237], [237, 239], [239, 241], [241, 237],\n [210, 214], [214, 169], [169, 210], [140, 171], [171, 32], [32, 140],\n [241, 125], [125, 237], [237, 241], [179, 86], [86, 178], [178, 179],\n [180, 85], [85, 179], [179, 180], [181, 84], [84, 180], [180, 181],\n [182, 83], [83, 181], [181, 182], [194, 201], [201, 182], [182, 194],\n [177, 137], [137, 132], [132, 177], [184, 76], [76, 183], [183, 184],\n [185, 61], [61, 184], [184, 185], [186, 57], [57, 185], [185, 186],\n [216, 212], [212, 186], [186, 216], [192, 214], [214, 187], [187, 192],\n [139, 34], [34, 156], [156, 139], [218, 79], [79, 237], [237, 218],\n [147, 123], [123, 177], [177, 147], [45, 44], [44, 4], [4, 45],\n [208, 201], [201, 32], [32, 208], [98, 64], [64, 129], [129, 98],\n [192, 213], [213, 138], [138, 192], [235, 59], [59, 219], [219, 235],\n [141, 242], [242, 97], [97, 141], [97, 2], [2, 141], [141, 97],\n [240, 75], [75, 235], [235, 240], [229, 24], [24, 228], [228, 229],\n [31, 25], [25, 226], [226, 31], [230, 23], [23, 229], [229, 230],\n [231, 22], [22, 230], [230, 231], [232, 26], [26, 231], [231, 232],\n [233, 112], [112, 232], [232, 233], [244, 189], [189, 243], [243, 244],\n [189, 221], [221, 190], [190, 189], [222, 28], [28, 221], [221, 222],\n [223, 27], [27, 222], [222, 223], [224, 29], [29, 223], [223, 224],\n [225, 30], [30, 224], [224, 225], [113, 247], [247, 225], [225, 113],\n [99, 60], [60, 240], [240, 99], [213, 147], [147, 215], [215, 213],\n [60, 20], [20, 166], [166, 60], [192, 187], [187, 213], [213, 192],\n [243, 112], [112, 244], [244, 243], [244, 233], [233, 245], [245, 244],\n [245, 128], [128, 188], [188, 245], [188, 114], [114, 174], [174, 188],\n [134, 131], [131, 220], [220, 134], [174, 217], [217, 236], [236, 174],\n [236, 198], [198, 134], [134, 236], [215, 177], [177, 58], [58, 215],\n [156, 143], [143, 124], [124, 156], [25, 110], [110, 7], [7, 25],\n [31, 228], [228, 25], [25, 31], [264, 356], [356, 368], [368, 264],\n [0, 11], [11, 267], [267, 0], [451, 452], [452, 349], [349, 451],\n [267, 302], [302, 269], [269, 267], [350, 357], [357, 277], [277, 350],\n [350, 452], [452, 357], [357, 350], [299, 333], [333, 297], [297, 299],\n [396, 175], [175, 377], [377, 396], [280, 347], [347, 330], [330, 280],\n [269, 303], [303, 270], [270, 269], [151, 9], [9, 337], [337, 151],\n [344, 278], [278, 360], [360, 344], [424, 418], [418, 431], [431, 424],\n [270, 304], [304, 409], [409, 270], [272, 310], [310, 407], [407, 272],\n [322, 270], [270, 410], [410, 322], [449, 450], [450, 347], [347, 449],\n [432, 422], [422, 434], [434, 432], [18, 313], [313, 17], [17, 18],\n [291, 306], [306, 375], [375, 291], [259, 387], [387, 260], [260, 259],\n [424, 335], [335, 418], [418, 424], [434, 364], [364, 416], [416, 434],\n [391, 423], [423, 327], [327, 391], [301, 251], [251, 298], [298, 301],\n [275, 281], [281, 4], [4, 275], [254, 373], [373, 253], [253, 254],\n [375, 307], [307, 321], [321, 375], [280, 425], [425, 411], [411, 280],\n [200, 421], [421, 18], [18, 200], [335, 321], [321, 406], [406, 335],\n [321, 320], [320, 405], [405, 321], [314, 315], [315, 17], [17, 314],\n [423, 426], [426, 266], [266, 423], [396, 377], [377, 369], [369, 396],\n [270, 322], [322, 269], [269, 270], [413, 417], [417, 464], [464, 413],\n [385, 386], [386, 258], [258, 385], [248, 456], [456, 419], [419, 248],\n [298, 284], [284, 333], [333, 298], [168, 417], [417, 8], [8, 168],\n [448, 346], [346, 261], [261, 448], [417, 413], [413, 285], [285, 417],\n [326, 327], [327, 328], [328, 326], [277, 355], [355, 329], [329, 277],\n [309, 392], [392, 438], [438, 309], [381, 382], [382, 256], [256, 381],\n [279, 429], [429, 360], [360, 279], [365, 364], [364, 379], [379, 365],\n [355, 277], [277, 437], [437, 355], [282, 443], [443, 283], [283, 282],\n [281, 275], [275, 363], [363, 281], [395, 431], [431, 369], [369, 395],\n [299, 297], [297, 337], [337, 299], [335, 273], [273, 321], [321, 335],\n [348, 450], [450, 349], [349, 348], [359, 446], [446, 467], [467, 359],\n [283, 293], [293, 282], [282, 283], [250, 458], [458, 462], [462, 250],\n [300, 276], [276, 383], [383, 300], [292, 308], [308, 325], [325, 292],\n [283, 276], [276, 293], [293, 283], [264, 372], [372, 447], [447, 264],\n [346, 352], [352, 340], [340, 346], [354, 274], [274, 19], [19, 354],\n [363, 456], [456, 281], [281, 363], [426, 436], [436, 425], [425, 426],\n [380, 381], [381, 252], [252, 380], [267, 269], [269, 393], [393, 267],\n [421, 200], [200, 428], [428, 421], [371, 266], [266, 329], [329, 371],\n [432, 287], [287, 422], [422, 432], [290, 250], [250, 328], [328, 290],\n [385, 258], [258, 384], [384, 385], [446, 265], [265, 342], [342, 446],\n [386, 387], [387, 257], [257, 386], [422, 424], [424, 430], [430, 422],\n [445, 342], [342, 276], [276, 445], [422, 273], [273, 424], [424, 422],\n [306, 292], [292, 307], [307, 306], [352, 366], [366, 345], [345, 352],\n [268, 271], [271, 302], [302, 268], [358, 423], [423, 371], [371, 358],\n [327, 294], [294, 460], [460, 327], [331, 279], [279, 294], [294, 331],\n [303, 271], [271, 304], [304, 303], [436, 432], [432, 427], [427, 436],\n [304, 272], [272, 408], [408, 304], [395, 394], [394, 431], [431, 395],\n [378, 395], [395, 400], [400, 378], [296, 334], [334, 299], [299, 296],\n [6, 351], [351, 168], [168, 6], [376, 352], [352, 411], [411, 376],\n [307, 325], [325, 320], [320, 307], [285, 295], [295, 336], [336, 285],\n [320, 319], [319, 404], [404, 320], [329, 330], [330, 349], [349, 329],\n [334, 293], [293, 333], [333, 334], [366, 323], [323, 447], [447, 366],\n [316, 15], [15, 315], [315, 316], [331, 358], [358, 279], [279, 331],\n [317, 14], [14, 316], [316, 317], [8, 285], [285, 9], [9, 8],\n [277, 329], [329, 350], [350, 277], [253, 374], [374, 252], [252, 253],\n [319, 318], [318, 403], [403, 319], [351, 6], [6, 419], [419, 351],\n [324, 318], [318, 325], [325, 324], [397, 367], [367, 365], [365, 397],\n [288, 435], [435, 397], [397, 288], [278, 344], [344, 439], [439, 278],\n [310, 272], [272, 311], [311, 310], [248, 195], [195, 281], [281, 248],\n [375, 273], [273, 291], [291, 375], [175, 396], [396, 199], [199, 175],\n [312, 311], [311, 268], [268, 312], [276, 283], [283, 445], [445, 276],\n [390, 373], [373, 339], [339, 390], [295, 282], [282, 296], [296, 295],\n [448, 449], [449, 346], [346, 448], [356, 264], [264, 454], [454, 356],\n [337, 336], [336, 299], [299, 337], [337, 338], [338, 151], [151, 337],\n [294, 278], [278, 455], [455, 294], [308, 292], [292, 415], [415, 308],\n [429, 358], [358, 355], [355, 429], [265, 340], [340, 372], [372, 265],\n [352, 346], [346, 280], [280, 352], [295, 442], [442, 282], [282, 295],\n [354, 19], [19, 370], [370, 354], [285, 441], [441, 295], [295, 285],\n [195, 248], [248, 197], [197, 195], [457, 440], [440, 274], [274, 457],\n [301, 300], [300, 368], [368, 301], [417, 351], [351, 465], [465, 417],\n [251, 301], [301, 389], [389, 251], [394, 395], [395, 379], [379, 394],\n [399, 412], [412, 419], [419, 399], [410, 436], [436, 322], [322, 410],\n [326, 2], [2, 393], [393, 326], [354, 370], [370, 461], [461, 354],\n [393, 164], [164, 267], [267, 393], [268, 302], [302, 12], [12, 268],\n [312, 268], [268, 13], [13, 312], [298, 293], [293, 301], [301, 298],\n [265, 446], [446, 340], [340, 265], [280, 330], [330, 425], [425, 280],\n [322, 426], [426, 391], [391, 322], [420, 429], [429, 437], [437, 420],\n [393, 391], [391, 326], [326, 393], [344, 440], [440, 438], [438, 344],\n [458, 459], [459, 461], [461, 458], [364, 434], [434, 394], [394, 364],\n [428, 396], [396, 262], [262, 428], [274, 354], [354, 457], [457, 274],\n [317, 316], [316, 402], [402, 317], [316, 315], [315, 403], [403, 316],\n [315, 314], [314, 404], [404, 315], [314, 313], [313, 405], [405, 314],\n [313, 421], [421, 406], [406, 313], [323, 366], [366, 361], [361, 323],\n [292, 306], [306, 407], [407, 292], [306, 291], [291, 408], [408, 306],\n [291, 287], [287, 409], [409, 291], [287, 432], [432, 410], [410, 287],\n [427, 434], [434, 411], [411, 427], [372, 264], [264, 383], [383, 372],\n [459, 309], [309, 457], [457, 459], [366, 352], [352, 401], [401, 366],\n [1, 274], [274, 4], [4, 1], [418, 421], [421, 262], [262, 418],\n [331, 294], [294, 358], [358, 331], [435, 433], [433, 367], [367, 435],\n [392, 289], [289, 439], [439, 392], [328, 462], [462, 326], [326, 328],\n [94, 2], [2, 370], [370, 94], [289, 305], [305, 455], [455, 289],\n [339, 254], [254, 448], [448, 339], [359, 255], [255, 446], [446, 359],\n [254, 253], [253, 449], [449, 254], [253, 252], [252, 450], [450, 253],\n [252, 256], [256, 451], [451, 252], [256, 341], [341, 452], [452, 256],\n [414, 413], [413, 463], [463, 414], [286, 441], [441, 414], [414, 286],\n [286, 258], [258, 441], [441, 286], [258, 257], [257, 442], [442, 258],\n [257, 259], [259, 443], [443, 257], [259, 260], [260, 444], [444, 259],\n [260, 467], [467, 445], [445, 260], [309, 459], [459, 250], [250, 309],\n [305, 289], [289, 290], [290, 305], [305, 290], [290, 460], [460, 305],\n [401, 376], [376, 435], [435, 401], [309, 250], [250, 392], [392, 309],\n [376, 411], [411, 433], [433, 376], [453, 341], [341, 464], [464, 453],\n [357, 453], [453, 465], [465, 357], [343, 357], [357, 412], [412, 343],\n [437, 343], [343, 399], [399, 437], [344, 360], [360, 440], [440, 344],\n [420, 437], [437, 456], [456, 420], [360, 420], [420, 363], [363, 360],\n [361, 401], [401, 288], [288, 361], [265, 372], [372, 353], [353, 265],\n [390, 339], [339, 249], [249, 390], [339, 448], [448, 255], [255, 339],\n];\n", "// @tensorflow/tfjs-models/face-landmark-detection/src/constants.ts\n// https://github.com/google/mediapipe/mediapipe/python/solutions/face_mesh_connections.py\n\ntype PairArray = [number, number][];\n\nconst LIPS_CONNECTIONS: PairArray = [\n [61, 146], [146, 91], [91, 181], [181, 84], [84, 17], [17, 314], [314, 405], [405, 321], [321, 375], [375, 291], [61, 185], [185, 40], [40, 39], [39, 37], [37, 0], [0, 267], [267, 269], [269, 270], [270, 409], [409, 291],\n [78, 95], [95, 88], [88, 178], [178, 87], [87, 14], [14, 317], [317, 402], [402, 318], [318, 324], [324, 308], [78, 191], [191, 80], [80, 81], [81, 82], [82, 13], [13, 312], [312, 311], [311, 310], [310, 415], [415, 308],\n];\n\nconst LEFT_EYE_CONNECTIONS: PairArray = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]];\n\nconst LEFT_EYEBROW_CONNECTIONS: PairArray = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]];\n\nconst LEFT_IRIS_CONNECTIONS: PairArray = [[474, 475], [475, 476], [476, 477], [477, 474]];\n\nconst RIGHT_EYE_CONNECTIONS: PairArray = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]];\n\nconst RIGHT_EYEBROW_CONNECTIONS: PairArray = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]];\n\nconst RIGHT_IRIS_CONNECTIONS: PairArray = [[469, 470], [470, 471], [471, 472], [472, 469]];\n\nconst FACE_OVAL_CONNECTIONS: PairArray = [\n [10, 338], [338, 297], [297, 332], [332, 284], [284, 251], [251, 389], [389, 356], [356, 454], [454, 323], [323, 361], [361, 288], [288, 397], [397, 365], [365, 379], [379, 378], [378, 400], [400, 377], [377, 152],\n [152, 148], [148, 176], [176, 149], [149, 150], [150, 136], [136, 172], [172, 58], [58, 132], [132, 93], [93, 234], [234, 127], [127, 162], [162, 21], [21, 54], [54, 103], [103, 67], [67, 109], [109, 10],\n];\n\nexport const MEDIAPIPE_FACE_MESH_CONNECTED_KEYPOINTS_PAIRS: PairArray = [\n [127, 34], [34, 139], [139, 127], [11, 0], [0, 37], [37, 11], [232, 231], [231, 120], [120, 232], [72, 37], [37, 39], [39, 72], [128, 121], [121, 47], [47, 128], [232, 121], [121, 128], [128, 232],\n [104, 69], [69, 67], [67, 104], [175, 171], [171, 148], [148, 175], [118, 50], [50, 101], [101, 118], [73, 39], [39, 40], [40, 73], [9, 151], [151, 108], [108, 9], [48, 115], [115, 131], [131, 48],\n [194, 204], [204, 211], [211, 194], [74, 40], [40, 185], [185, 74], [80, 42], [42, 183], [183, 80], [40, 92], [92, 186], [186, 40], [230, 229], [229, 118], [118, 230], [202, 212], [212, 214], [214, 202],\n [83, 18], [18, 17], [17, 83], [76, 61], [61, 146], [146, 76], [160, 29], [29, 30], [30, 160], [56, 157], [157, 173], [173, 56], [106, 204], [204, 194], [194, 106], [135, 214], [214, 192], [192, 135],\n [203, 165], [165, 98], [98, 203], [21, 71], [71, 68], [68, 21], [51, 45], [45, 4], [4, 51], [144, 24], [24, 23], [23, 144], [77, 146], [146, 91], [91, 77], [205, 50], [50, 187], [187, 205],\n [201, 200], [200, 18], [18, 201], [91, 106], [106, 182], [182, 91], [90, 91], [91, 181], [181, 90], [85, 84], [84, 17], [17, 85], [206, 203], [203, 36], [36, 206], [148, 171], [171, 140], [140, 148],\n [92, 40], [40, 39], [39, 92], [193, 189], [189, 244], [244, 193], [159, 158], [158, 28], [28, 159], [247, 246], [246, 161], [161, 247], [236, 3], [3, 196], [196, 236], [54, 68], [68, 104], [104, 54],\n [193, 168], [168, 8], [8, 193], [117, 228], [228, 31], [31, 117], [189, 193], [193, 55], [55, 189], [98, 97], [97, 99], [99, 98], [126, 47], [47, 100], [100, 126], [166, 79], [79, 218], [218, 166],\n [155, 154], [154, 26], [26, 155], [209, 49], [49, 131], [131, 209], [135, 136], [136, 150], [150, 135], [47, 126], [126, 217], [217, 47], [223, 52], [52, 53], [53, 223], [45, 51], [51, 134], [134, 45],\n [211, 170], [170, 140], [140, 211], [67, 69], [69, 108], [108, 67], [43, 106], [106, 91], [91, 43], [230, 119], [119, 120], [120, 230], [226, 130], [130, 247], [247, 226], [63, 53], [53, 52], [52, 63],\n [238, 20], [20, 242], [242, 238], [46, 70], [70, 156], [156, 46], [78, 62], [62, 96], [96, 78], [46, 53], [53, 63], [63, 46], [143, 34], [34, 227], [227, 143], [123, 117], [117, 111], [111, 123],\n [44, 125], [125, 19], [19, 44], [236, 134], [134, 51], [51, 236], [216, 206], [206, 205], [205, 216], [154, 153], [153, 22], [22, 154], [39, 37], [37, 167], [167, 39], [200, 201], [201, 208], [208, 200],\n [36, 142], [142, 100], [100, 36], [57, 212], [212, 202], [202, 57], [20, 60], [60, 99], [99, 20], [28, 158], [158, 157], [157, 28], [35, 226], [226, 113], [113, 35], [160, 159], [159, 27], [27, 160],\n [204, 202], [202, 210], [210, 204], [113, 225], [225, 46], [46, 113], [43, 202], [202, 204], [204, 43], [62, 76], [76, 77], [77, 62], [137, 123], [123, 116], [116, 137], [41, 38], [38, 72], [72, 41],\n [203, 129], [129, 142], [142, 203], [64, 98], [98, 240], [240, 64], [49, 102], [102, 64], [64, 49], [41, 73], [73, 74], [74, 41], [212, 216], [216, 207], [207, 212], [42, 74], [74, 184], [184, 42],\n [169, 170], [170, 211], [211, 169], [170, 149], [149, 176], [176, 170], [105, 66], [66, 69], [69, 105], [122, 6], [6, 168], [168, 122], [123, 147], [147, 187], [187, 123], [96, 77], [77, 90], [90, 96],\n [65, 55], [55, 107], [107, 65], [89, 90], [90, 180], [180, 89], [101, 100], [100, 120], [120, 101], [63, 105], [105, 104], [104, 63], [93, 137], [137, 227], [227, 93], [15, 86], [86, 85], [85, 15],\n [129, 102], [102, 49], [49, 129], [14, 87], [87, 86], [86, 14], [55, 8], [8, 9], [9, 55], [100, 47], [47, 121], [121, 100], [145, 23], [23, 22], [22, 145], [88, 89], [89, 179], [179, 88],\n [6, 122], [122, 196], [196, 6], [88, 95], [95, 96], [96, 88], [138, 172], [172, 136], [136, 138], [215, 58], [58, 172], [172, 215], [115, 48], [48, 219], [219, 115], [42, 80], [80, 81], [81, 42],\n [195, 3], [3, 51], [51, 195], [43, 146], [146, 61], [61, 43], [171, 175], [175, 199], [199, 171], [81, 82], [82, 38], [38, 81], [53, 46], [46, 225], [225, 53], [144, 163], [163, 110], [110, 144],\n [52, 65], [65, 66], [66, 52], [229, 228], [228, 117], [117, 229], [34, 127], [127, 234], [234, 34], [107, 108], [108, 69], [69, 107], [109, 108], [108, 151], [151, 109], [48, 64], [64, 235], [235, 48],\n [62, 78], [78, 191], [191, 62], [129, 209], [209, 126], [126, 129], [111, 35], [35, 143], [143, 111], [117, 123], [123, 50], [50, 117], [222, 65], [65, 52], [52, 222], [19, 125], [125, 141], [141, 19],\n [221, 55], [55, 65], [65, 221], [3, 195], [195, 197], [197, 3], [25, 7], [7, 33], [33, 25], [220, 237], [237, 44], [44, 220], [70, 71], [71, 139], [139, 70], [122, 193], [193, 245], [245, 122],\n [247, 130], [130, 33], [33, 247], [71, 21], [21, 162], [162, 71], [170, 169], [169, 150], [150, 170], [188, 174], [174, 196], [196, 188], [216, 186], [186, 92], [92, 216], [2, 97], [97, 167], [167, 2],\n [141, 125], [125, 241], [241, 141], [164, 167], [167, 37], [37, 164], [72, 38], [38, 12], [12, 72], [38, 82], [82, 13], [13, 38], [63, 68], [68, 71], [71, 63], [226, 35], [35, 111], [111, 226],\n [101, 50], [50, 205], [205, 101], [206, 92], [92, 165], [165, 206], [209, 198], [198, 217], [217, 209], [165, 167], [167, 97], [97, 165], [220, 115], [115, 218], [218, 220], [133, 112], [112, 243], [243, 133],\n [239, 238], [238, 241], [241, 239], [214, 135], [135, 169], [169, 214], [190, 173], [173, 133], [133, 190], [171, 208], [208, 32], [32, 171], [125, 44], [44, 237], [237, 125], [86, 87], [87, 178], [178, 86],\n [85, 86], [86, 179], [179, 85], [84, 85], [85, 180], [180, 84], [83, 84], [84, 181], [181, 83], [201, 83], [83, 182], [182, 201], [137, 93], [93, 132], [132, 137], [76, 62], [62, 183], [183, 76],\n [61, 76], [76, 184], [184, 61], [57, 61], [61, 185], [185, 57], [212, 57], [57, 186], [186, 212], [214, 207], [207, 187], [187, 214], [34, 143], [143, 156], [156, 34], [79, 239], [239, 237], [237, 79],\n [123, 137], [137, 177], [177, 123], [44, 1], [1, 4], [4, 44], [201, 194], [194, 32], [32, 201], [64, 102], [102, 129], [129, 64], [213, 215], [215, 138], [138, 213], [59, 166], [166, 219], [219, 59],\n [242, 99], [99, 97], [97, 242], [2, 94], [94, 141], [141, 2], [75, 59], [59, 235], [235, 75], [24, 110], [110, 228], [228, 24], [25, 130], [130, 226], [226, 25], [23, 24], [24, 229], [229, 23],\n [22, 23], [23, 230], [230, 22], [26, 22], [22, 231], [231, 26], [112, 26], [26, 232], [232, 112], [189, 190], [190, 243], [243, 189], [221, 56], [56, 190], [190, 221], [28, 56], [56, 221], [221, 28],\n [27, 28], [28, 222], [222, 27], [29, 27], [27, 223], [223, 29], [30, 29], [29, 224], [224, 30], [247, 30], [30, 225], [225, 247], [238, 79], [79, 20], [20, 238], [166, 59], [59, 75], [75, 166],\n [60, 75], [75, 240], [240, 60], [147, 177], [177, 215], [215, 147], [20, 79], [79, 166], [166, 20], [187, 147], [147, 213], [213, 187], [112, 233], [233, 244], [244, 112], [233, 128], [128, 245], [245, 233],\n [128, 114], [114, 188], [188, 128], [114, 217], [217, 174], [174, 114], [131, 115], [115, 220], [220, 131], [217, 198], [198, 236], [236, 217], [198, 131], [131, 134], [134, 198], [177, 132], [132, 58], [58, 177],\n [143, 35], [35, 124], [124, 143], [110, 163], [163, 7], [7, 110], [228, 110], [110, 25], [25, 228], [356, 389], [389, 368], [368, 356], [11, 302], [302, 267], [267, 11], [452, 350], [350, 349], [349, 452],\n [302, 303], [303, 269], [269, 302], [357, 343], [343, 277], [277, 357], [452, 453], [453, 357], [357, 452], [333, 332], [332, 297], [297, 333], [175, 152], [152, 377], [377, 175], [347, 348], [348, 330], [330, 347],\n [303, 304], [304, 270], [270, 303], [9, 336], [336, 337], [337, 9], [278, 279], [279, 360], [360, 278], [418, 262], [262, 431], [431, 418], [304, 408], [408, 409], [409, 304], [310, 415], [415, 407], [407, 310],\n [270, 409], [409, 410], [410, 270], [450, 348], [348, 347], [347, 450], [422, 430], [430, 434], [434, 422], [313, 314], [314, 17], [17, 313], [306, 307], [307, 375], [375, 306], [387, 388], [388, 260], [260, 387],\n [286, 414], [414, 398], [398, 286], [335, 406], [406, 418], [418, 335], [364, 367], [367, 416], [416, 364], [423, 358], [358, 327], [327, 423], [251, 284], [284, 298], [298, 251], [281, 5], [5, 4], [4, 281],\n [373, 374], [374, 253], [253, 373], [307, 320], [320, 321], [321, 307], [425, 427], [427, 411], [411, 425], [421, 313], [313, 18], [18, 421], [321, 405], [405, 406], [406, 321], [320, 404], [404, 405], [405, 320],\n [315, 16], [16, 17], [17, 315], [426, 425], [425, 266], [266, 426], [377, 400], [400, 369], [369, 377], [322, 391], [391, 269], [269, 322], [417, 465], [465, 464], [464, 417], [386, 257], [257, 258], [258, 386],\n [466, 260], [260, 388], [388, 466], [456, 399], [399, 419], [419, 456], [284, 332], [332, 333], [333, 284], [417, 285], [285, 8], [8, 417], [346, 340], [340, 261], [261, 346], [413, 441], [441, 285], [285, 413],\n [327, 460], [460, 328], [328, 327], [355, 371], [371, 329], [329, 355], [392, 439], [439, 438], [438, 392], [382, 341], [341, 256], [256, 382], [429, 420], [420, 360], [360, 429], [364, 394], [394, 379], [379, 364],\n [277, 343], [343, 437], [437, 277], [443, 444], [444, 283], [283, 443], [275, 440], [440, 363], [363, 275], [431, 262], [262, 369], [369, 431], [297, 338], [338, 337], [337, 297], [273, 375], [375, 321], [321, 273],\n [450, 451], [451, 349], [349, 450], [446, 342], [342, 467], [467, 446], [293, 334], [334, 282], [282, 293], [458, 461], [461, 462], [462, 458], [276, 353], [353, 383], [383, 276], [308, 324], [324, 325], [325, 308],\n [276, 300], [300, 293], [293, 276], [372, 345], [345, 447], [447, 372], [352, 345], [345, 340], [340, 352], [274, 1], [1, 19], [19, 274], [456, 248], [248, 281], [281, 456], [436, 427], [427, 425], [425, 436],\n [381, 256], [256, 252], [252, 381], [269, 391], [391, 393], [393, 269], [200, 199], [199, 428], [428, 200], [266, 330], [330, 329], [329, 266], [287, 273], [273, 422], [422, 287], [250, 462], [462, 328], [328, 250],\n [258, 286], [286, 384], [384, 258], [265, 353], [353, 342], [342, 265], [387, 259], [259, 257], [257, 387], [424, 431], [431, 430], [430, 424], [342, 353], [353, 276], [276, 342], [273, 335], [335, 424], [424, 273],\n [292, 325], [325, 307], [307, 292], [366, 447], [447, 345], [345, 366], [271, 303], [303, 302], [302, 271], [423, 266], [266, 371], [371, 423], [294, 455], [455, 460], [460, 294], [279, 278], [278, 294], [294, 279],\n [271, 272], [272, 304], [304, 271], [432, 434], [434, 427], [427, 432], [272, 407], [407, 408], [408, 272], [394, 430], [430, 431], [431, 394], [395, 369], [369, 400], [400, 395], [334, 333], [333, 299], [299, 334],\n [351, 417], [417, 168], [168, 351], [352, 280], [280, 411], [411, 352], [325, 319], [319, 320], [320, 325], [295, 296], [296, 336], [336, 295], [319, 403], [403, 404], [404, 319], [330, 348], [348, 349], [349, 330],\n [293, 298], [298, 333], [333, 293], [323, 454], [454, 447], [447, 323], [15, 16], [16, 315], [315, 15], [358, 429], [429, 279], [279, 358], [14, 15], [15, 316], [316, 14], [285, 336], [336, 9], [9, 285],\n [329, 349], [349, 350], [350, 329], [374, 380], [380, 252], [252, 374], [318, 402], [402, 403], [403, 318], [6, 197], [197, 419], [419, 6], [318, 319], [319, 325], [325, 318], [367, 364], [364, 365], [365, 367],\n [435, 367], [367, 397], [397, 435], [344, 438], [438, 439], [439, 344], [272, 271], [271, 311], [311, 272], [195, 5], [5, 281], [281, 195], [273, 287], [287, 291], [291, 273], [396, 428], [428, 199], [199, 396],\n [311, 271], [271, 268], [268, 311], [283, 444], [444, 445], [445, 283], [373, 254], [254, 339], [339, 373], [282, 334], [334, 296], [296, 282], [449, 347], [347, 346], [346, 449], [264, 447], [447, 454], [454, 264],\n [336, 296], [296, 299], [299, 336], [338, 10], [10, 151], [151, 338], [278, 439], [439, 455], [455, 278], [292, 407], [407, 415], [415, 292], [358, 371], [371, 355], [355, 358], [340, 345], [345, 372], [372, 340],\n [346, 347], [347, 280], [280, 346], [442, 443], [443, 282], [282, 442], [19, 94], [94, 370], [370, 19], [441, 442], [442, 295], [295, 441], [248, 419], [419, 197], [197, 248], [263, 255], [255, 359], [359, 263],\n [440, 275], [275, 274], [274, 440], [300, 383], [383, 368], [368, 300], [351, 412], [412, 465], [465, 351], [263, 467], [467, 466], [466, 263], [301, 368], [368, 389], [389, 301], [395, 378], [378, 379], [379, 395],\n [412, 351], [351, 419], [419, 412], [436, 426], [426, 322], [322, 436], [2, 164], [164, 393], [393, 2], [370, 462], [462, 461], [461, 370], [164, 0], [0, 267], [267, 164], [302, 11], [11, 12], [12, 302],\n [268, 12], [12, 13], [13, 268], [293, 300], [300, 301], [301, 293], [446, 261], [261, 340], [340, 446], [330, 266], [266, 425], [425, 330], [426, 423], [423, 391], [391, 426], [429, 355], [355, 437], [437, 429],\n [391, 327], [327, 326], [326, 391], [440, 457], [457, 438], [438, 440], [341, 382], [382, 362], [362, 341], [459, 457], [457, 461], [461, 459], [434, 430], [430, 394], [394, 434], [414, 463], [463, 362], [362, 414],\n [396, 369], [369, 262], [262, 396], [354, 461], [461, 457], [457, 354], [316, 403], [403, 402], [402, 316], [315, 404], [404, 403], [403, 315], [314, 405], [405, 404], [404, 314], [313, 406], [406, 405], [405, 313],\n [421, 418], [418, 406], [406, 421], [366, 401], [401, 361], [361, 366], [306, 408], [408, 407], [407, 306], [291, 409], [409, 408], [408, 291], [287, 410], [410, 409], [409, 287], [432, 436], [436, 410], [410, 432],\n [434, 416], [416, 411], [411, 434], [264, 368], [368, 383], [383, 264], [309, 438], [438, 457], [457, 309], [352, 376], [376, 401], [401, 352], [274, 275], [275, 4], [4, 274], [421, 428], [428, 262], [262, 421],\n [294, 327], [327, 358], [358, 294], [433, 416], [416, 367], [367, 433], [289, 455], [455, 439], [439, 289], [462, 370], [370, 326], [326, 462], [2, 326], [326, 370], [370, 2], [305, 460], [460, 455], [455, 305],\n [254, 449], [449, 448], [448, 254], [255, 261], [261, 446], [446, 255], [253, 450], [450, 449], [449, 253], [252, 451], [451, 450], [450, 252], [256, 452], [452, 451], [451, 256], [341, 453], [453, 452], [452, 341],\n [413, 464], [464, 463], [463, 413], [441, 413], [413, 414], [414, 441], [258, 442], [442, 441], [441, 258], [257, 443], [443, 442], [442, 257], [259, 444], [444, 443], [443, 259], [260, 445], [445, 444], [444, 260],\n [467, 342], [342, 445], [445, 467], [459, 458], [458, 250], [250, 459], [289, 392], [392, 290], [290, 289], [290, 328], [328, 460], [460, 290], [376, 433], [433, 435], [435, 376], [250, 290], [290, 392], [392, 250],\n [411, 416], [416, 433], [433, 411], [341, 463], [463, 464], [464, 341], [453, 464], [464, 465], [465, 453], [357, 465], [465, 412], [412, 357], [343, 412], [412, 399], [399, 343], [360, 363], [363, 440], [440, 360],\n [437, 399], [399, 456], [456, 437], [420, 456], [456, 363], [363, 420], [401, 435], [435, 288], [288, 401], [372, 383], [383, 353], [353, 372], [339, 255], [255, 249], [249, 339], [448, 261], [261, 255], [255, 448],\n [133, 243], [243, 190], [190, 133], [133, 155], [155, 112], [112, 133], [33, 246], [246, 247], [247, 33], [33, 130], [130, 25], [25, 33], [398, 384], [384, 286], [286, 398], [362, 398], [398, 414], [414, 362],\n [362, 463], [463, 341], [341, 362], [263, 359], [359, 467], [467, 263], [263, 249], [249, 255], [255, 263], [466, 467], [467, 260], [260, 466], [75, 60], [60, 166], [166, 75], [238, 239], [239, 79], [79, 238],\n [162, 127], [127, 139], [139, 162], [72, 11], [11, 37], [37, 72], [121, 232], [232, 120], [120, 121], [73, 72], [72, 39], [39, 73], [114, 128], [128, 47], [47, 114], [233, 232], [232, 128], [128, 233],\n [103, 104], [104, 67], [67, 103], [152, 175], [175, 148], [148, 152], [119, 118], [118, 101], [101, 119], [74, 73], [73, 40], [40, 74], [107, 9], [9, 108], [108, 107], [49, 48], [48, 131], [131, 49],\n [32, 194], [194, 211], [211, 32], [184, 74], [74, 185], [185, 184], [191, 80], [80, 183], [183, 191], [185, 40], [40, 186], [186, 185], [119, 230], [230, 118], [118, 119], [210, 202], [202, 214], [214, 210],\n [84, 83], [83, 17], [17, 84], [77, 76], [76, 146], [146, 77], [161, 160], [160, 30], [30, 161], [190, 56], [56, 173], [173, 190], [182, 106], [106, 194], [194, 182], [138, 135], [135, 192], [192, 138],\n [129, 203], [203, 98], [98, 129], [54, 21], [21, 68], [68, 54], [5, 51], [51, 4], [4, 5], [145, 144], [144, 23], [23, 145], [90, 77], [77, 91], [91, 90], [207, 205], [205, 187], [187, 207],\n [83, 201], [201, 18], [18, 83], [181, 91], [91, 182], [182, 181], [180, 90], [90, 181], [181, 180], [16, 85], [85, 17], [17, 16], [205, 206], [206, 36], [36, 205], [176, 148], [148, 140], [140, 176],\n [165, 92], [92, 39], [39, 165], [245, 193], [193, 244], [244, 245], [27, 159], [159, 28], [28, 27], [30, 247], [247, 161], [161, 30], [174, 236], [236, 196], [196, 174], [103, 54], [54, 104], [104, 103],\n [55, 193], [193, 8], [8, 55], [111, 117], [117, 31], [31, 111], [221, 189], [189, 55], [55, 221], [240, 98], [98, 99], [99, 240], [142, 126], [126, 100], [100, 142], [219, 166], [166, 218], [218, 219],\n [112, 155], [155, 26], [26, 112], [198, 209], [209, 131], [131, 198], [169, 135], [135, 150], [150, 169], [114, 47], [47, 217], [217, 114], [224, 223], [223, 53], [53, 224], [220, 45], [45, 134], [134, 220],\n [32, 211], [211, 140], [140, 32], [109, 67], [67, 108], [108, 109], [146, 43], [43, 91], [91, 146], [231, 230], [230, 120], [120, 231], [113, 226], [226, 247], [247, 113], [105, 63], [63, 52], [52, 105],\n [241, 238], [238, 242], [242, 241], [124, 46], [46, 156], [156, 124], [95, 78], [78, 96], [96, 95], [70, 46], [46, 63], [63, 70], [116, 143], [143, 227], [227, 116], [116, 123], [123, 111], [111, 116],\n [1, 44], [44, 19], [19, 1], [3, 236], [236, 51], [51, 3], [207, 216], [216, 205], [205, 207], [26, 154], [154, 22], [22, 26], [165, 39], [39, 167], [167, 165], [199, 200], [200, 208], [208, 199],\n [101, 36], [36, 100], [100, 101], [43, 57], [57, 202], [202, 43], [242, 20], [20, 99], [99, 242], [56, 28], [28, 157], [157, 56], [124, 35], [35, 113], [113, 124], [29, 160], [160, 27], [27, 29],\n [211, 204], [204, 210], [210, 211], [124, 113], [113, 46], [46, 124], [106, 43], [43, 204], [204, 106], [96, 62], [62, 77], [77, 96], [227, 137], [137, 116], [116, 227], [73, 41], [41, 72], [72, 73],\n [36, 203], [203, 142], [142, 36], [235, 64], [64, 240], [240, 235], [48, 49], [49, 64], [64, 48], [42, 41], [41, 74], [74, 42], [214, 212], [212, 207], [207, 214], [183, 42], [42, 184], [184, 183],\n [210, 169], [169, 211], [211, 210], [140, 170], [170, 176], [176, 140], [104, 105], [105, 69], [69, 104], [193, 122], [122, 168], [168, 193], [50, 123], [123, 187], [187, 50], [89, 96], [96, 90], [90, 89],\n [66, 65], [65, 107], [107, 66], [179, 89], [89, 180], [180, 179], [119, 101], [101, 120], [120, 119], [68, 63], [63, 104], [104, 68], [234, 93], [93, 227], [227, 234], [16, 15], [15, 85], [85, 16],\n [209, 129], [129, 49], [49, 209], [15, 14], [14, 86], [86, 15], [107, 55], [55, 9], [9, 107], [120, 100], [100, 121], [121, 120], [153, 145], [145, 22], [22, 153], [178, 88], [88, 179], [179, 178],\n [197, 6], [6, 196], [196, 197], [89, 88], [88, 96], [96, 89], [135, 138], [138, 136], [136, 135], [138, 215], [215, 172], [172, 138], [218, 115], [115, 219], [219, 218], [41, 42], [42, 81], [81, 41],\n [5, 195], [195, 51], [51, 5], [57, 43], [43, 61], [61, 57], [208, 171], [171, 199], [199, 208], [41, 81], [81, 38], [38, 41], [224, 53], [53, 225], [225, 224], [24, 144], [144, 110], [110, 24],\n [105, 52], [52, 66], [66, 105], [118, 229], [229, 117], [117, 118], [227, 34], [34, 234], [234, 227], [66, 107], [107, 69], [69, 66], [10, 109], [109, 151], [151, 10], [219, 48], [48, 235], [235, 219],\n [183, 62], [62, 191], [191, 183], [142, 129], [129, 126], [126, 142], [116, 111], [111, 143], [143, 116], [118, 117], [117, 50], [50, 118], [223, 222], [222, 52], [52, 223], [94, 19], [19, 141], [141, 94],\n [222, 221], [221, 65], [65, 222], [196, 3], [3, 197], [197, 196], [45, 220], [220, 44], [44, 45], [156, 70], [70, 139], [139, 156], [188, 122], [122, 245], [245, 188], [139, 71], [71, 162], [162, 139],\n [149, 170], [170, 150], [150, 149], [122, 188], [188, 196], [196, 122], [206, 216], [216, 92], [92, 206], [164, 2], [2, 167], [167, 164], [242, 141], [141, 241], [241, 242], [0, 164], [164, 37], [37, 0],\n [11, 72], [72, 12], [12, 11], [12, 38], [38, 13], [13, 12], [70, 63], [63, 71], [71, 70], [31, 226], [226, 111], [111, 31], [36, 101], [101, 205], [205, 36], [203, 206], [206, 165], [165, 203],\n [126, 209], [209, 217], [217, 126], [98, 165], [165, 97], [97, 98], [237, 220], [220, 218], [218, 237], [237, 239], [239, 241], [241, 237], [210, 214], [214, 169], [169, 210], [140, 171], [171, 32], [32, 140],\n [241, 125], [125, 237], [237, 241], [179, 86], [86, 178], [178, 179], [180, 85], [85, 179], [179, 180], [181, 84], [84, 180], [180, 181], [182, 83], [83, 181], [181, 182], [194, 201], [201, 182], [182, 194],\n [177, 137], [137, 132], [132, 177], [184, 76], [76, 183], [183, 184], [185, 61], [61, 184], [184, 185], [186, 57], [57, 185], [185, 186], [216, 212], [212, 186], [186, 216], [192, 214], [214, 187], [187, 192],\n [139, 34], [34, 156], [156, 139], [218, 79], [79, 237], [237, 218], [147, 123], [123, 177], [177, 147], [45, 44], [44, 4], [4, 45], [208, 201], [201, 32], [32, 208], [98, 64], [64, 129], [129, 98],\n [192, 213], [213, 138], [138, 192], [235, 59], [59, 219], [219, 235], [141, 242], [242, 97], [97, 141], [97, 2], [2, 141], [141, 97], [240, 75], [75, 235], [235, 240], [229, 24], [24, 228], [228, 229],\n [31, 25], [25, 226], [226, 31], [230, 23], [23, 229], [229, 230], [231, 22], [22, 230], [230, 231], [232, 26], [26, 231], [231, 232], [233, 112], [112, 232], [232, 233], [244, 189], [189, 243], [243, 244],\n [189, 221], [221, 190], [190, 189], [222, 28], [28, 221], [221, 222], [223, 27], [27, 222], [222, 223], [224, 29], [29, 223], [223, 224], [225, 30], [30, 224], [224, 225], [113, 247], [247, 225], [225, 113],\n [99, 60], [60, 240], [240, 99], [213, 147], [147, 215], [215, 213], [60, 20], [20, 166], [166, 60], [192, 187], [187, 213], [213, 192], [243, 112], [112, 244], [244, 243], [244, 233], [233, 245], [245, 244],\n [245, 128], [128, 188], [188, 245], [188, 114], [114, 174], [174, 188], [134, 131], [131, 220], [220, 134], [174, 217], [217, 236], [236, 174], [236, 198], [198, 134], [134, 236], [215, 177], [177, 58], [58, 215],\n [156, 143], [143, 124], [124, 156], [25, 110], [110, 7], [7, 25], [31, 228], [228, 25], [25, 31], [264, 356], [356, 368], [368, 264], [0, 11], [11, 267], [267, 0], [451, 452], [452, 349], [349, 451],\n [267, 302], [302, 269], [269, 267], [350, 357], [357, 277], [277, 350], [350, 452], [452, 357], [357, 350], [299, 333], [333, 297], [297, 299], [396, 175], [175, 377], [377, 396], [280, 347], [347, 330], [330, 280],\n [269, 303], [303, 270], [270, 269], [151, 9], [9, 337], [337, 151], [344, 278], [278, 360], [360, 344], [424, 418], [418, 431], [431, 424], [270, 304], [304, 409], [409, 270], [272, 310], [310, 407], [407, 272],\n [322, 270], [270, 410], [410, 322], [449, 450], [450, 347], [347, 449], [432, 422], [422, 434], [434, 432], [18, 313], [313, 17], [17, 18], [291, 306], [306, 375], [375, 291], [259, 387], [387, 260], [260, 259],\n [424, 335], [335, 418], [418, 424], [434, 364], [364, 416], [416, 434], [391, 423], [423, 327], [327, 391], [301, 251], [251, 298], [298, 301], [275, 281], [281, 4], [4, 275], [254, 373], [373, 253], [253, 254],\n [375, 307], [307, 321], [321, 375], [280, 425], [425, 411], [411, 280], [200, 421], [421, 18], [18, 200], [335, 321], [321, 406], [406, 335], [321, 320], [320, 405], [405, 321], [314, 315], [315, 17], [17, 314],\n [423, 426], [426, 266], [266, 423], [396, 377], [377, 369], [369, 396], [270, 322], [322, 269], [269, 270], [413, 417], [417, 464], [464, 413], [385, 386], [386, 258], [258, 385], [248, 456], [456, 419], [419, 248],\n [298, 284], [284, 333], [333, 298], [168, 417], [417, 8], [8, 168], [448, 346], [346, 261], [261, 448], [417, 413], [413, 285], [285, 417], [326, 327], [327, 328], [328, 326], [277, 355], [355, 329], [329, 277],\n [309, 392], [392, 438], [438, 309], [381, 382], [382, 256], [256, 381], [279, 429], [429, 360], [360, 279], [365, 364], [364, 379], [379, 365], [355, 277], [277, 437], [437, 355], [282, 443], [443, 283], [283, 282],\n [281, 275], [275, 363], [363, 281], [395, 431], [431, 369], [369, 395], [299, 297], [297, 337], [337, 299], [335, 273], [273, 321], [321, 335], [348, 450], [450, 349], [349, 348], [359, 446], [446, 467], [467, 359],\n [283, 293], [293, 282], [282, 283], [250, 458], [458, 462], [462, 250], [300, 276], [276, 383], [383, 300], [292, 308], [308, 325], [325, 292], [283, 276], [276, 293], [293, 283], [264, 372], [372, 447], [447, 264],\n [346, 352], [352, 340], [340, 346], [354, 274], [274, 19], [19, 354], [363, 456], [456, 281], [281, 363], [426, 436], [436, 425], [425, 426], [380, 381], [381, 252], [252, 380], [267, 269], [269, 393], [393, 267],\n [421, 200], [200, 428], [428, 421], [371, 266], [266, 329], [329, 371], [432, 287], [287, 422], [422, 432], [290, 250], [250, 328], [328, 290], [385, 258], [258, 384], [384, 385], [446, 265], [265, 342], [342, 446],\n [386, 387], [387, 257], [257, 386], [422, 424], [424, 430], [430, 422], [445, 342], [342, 276], [276, 445], [422, 273], [273, 424], [424, 422], [306, 292], [292, 307], [307, 306], [352, 366], [366, 345], [345, 352],\n [268, 271], [271, 302], [302, 268], [358, 423], [423, 371], [371, 358], [327, 294], [294, 460], [460, 327], [331, 279], [279, 294], [294, 331], [303, 271], [271, 304], [304, 303], [436, 432], [432, 427], [427, 436],\n [304, 272], [272, 408], [408, 304], [395, 394], [394, 431], [431, 395], [378, 395], [395, 400], [400, 378], [296, 334], [334, 299], [299, 296], [6, 351], [351, 168], [168, 6], [376, 352], [352, 411], [411, 376],\n [307, 325], [325, 320], [320, 307], [285, 295], [295, 336], [336, 285], [320, 319], [319, 404], [404, 320], [329, 330], [330, 349], [349, 329], [334, 293], [293, 333], [333, 334], [366, 323], [323, 447], [447, 366],\n [316, 15], [15, 315], [315, 316], [331, 358], [358, 279], [279, 331], [317, 14], [14, 316], [316, 317], [8, 285], [285, 9], [9, 8], [277, 329], [329, 350], [350, 277], [253, 374], [374, 252], [252, 253],\n [319, 318], [318, 403], [403, 319], [351, 6], [6, 419], [419, 351], [324, 318], [318, 325], [325, 324], [397, 367], [367, 365], [365, 397], [288, 435], [435, 397], [397, 288], [278, 344], [344, 439], [439, 278],\n [310, 272], [272, 311], [311, 310], [248, 195], [195, 281], [281, 248], [375, 273], [273, 291], [291, 375], [175, 396], [396, 199], [199, 175], [312, 311], [311, 268], [268, 312], [276, 283], [283, 445], [445, 276],\n [390, 373], [373, 339], [339, 390], [295, 282], [282, 296], [296, 295], [448, 449], [449, 346], [346, 448], [356, 264], [264, 454], [454, 356], [337, 336], [336, 299], [299, 337], [337, 338], [338, 151], [151, 337],\n [294, 278], [278, 455], [455, 294], [308, 292], [292, 415], [415, 308], [429, 358], [358, 355], [355, 429], [265, 340], [340, 372], [372, 265], [352, 346], [346, 280], [280, 352], [295, 442], [442, 282], [282, 295],\n [354, 19], [19, 370], [370, 354], [285, 441], [441, 295], [295, 285], [195, 248], [248, 197], [197, 195], [457, 440], [440, 274], [274, 457], [301, 300], [300, 368], [368, 301], [417, 351], [351, 465], [465, 417],\n [251, 301], [301, 389], [389, 251], [394, 395], [395, 379], [379, 394], [399, 412], [412, 419], [419, 399], [410, 436], [436, 322], [322, 410], [326, 2], [2, 393], [393, 326], [354, 370], [370, 461], [461, 354],\n [393, 164], [164, 267], [267, 393], [268, 302], [302, 12], [12, 268], [312, 268], [268, 13], [13, 312], [298, 293], [293, 301], [301, 298], [265, 446], [446, 340], [340, 265], [280, 330], [330, 425], [425, 280],\n [322, 426], [426, 391], [391, 322], [420, 429], [429, 437], [437, 420], [393, 391], [391, 326], [326, 393], [344, 440], [440, 438], [438, 344], [458, 459], [459, 461], [461, 458], [364, 434], [434, 394], [394, 364],\n [428, 396], [396, 262], [262, 428], [274, 354], [354, 457], [457, 274], [317, 316], [316, 402], [402, 317], [316, 315], [315, 403], [403, 316], [315, 314], [314, 404], [404, 315], [314, 313], [313, 405], [405, 314],\n [313, 421], [421, 406], [406, 313], [323, 366], [366, 361], [361, 323], [292, 306], [306, 407], [407, 292], [306, 291], [291, 408], [408, 306], [291, 287], [287, 409], [409, 291], [287, 432], [432, 410], [410, 287],\n [427, 434], [434, 411], [411, 427], [372, 264], [264, 383], [383, 372], [459, 309], [309, 457], [457, 459], [366, 352], [352, 401], [401, 366], [1, 274], [274, 4], [4, 1], [418, 421], [421, 262], [262, 418],\n [331, 294], [294, 358], [358, 331], [435, 433], [433, 367], [367, 435], [392, 289], [289, 439], [439, 392], [328, 462], [462, 326], [326, 328], [94, 2], [2, 370], [370, 94], [289, 305], [305, 455], [455, 289],\n [339, 254], [254, 448], [448, 339], [359, 255], [255, 446], [446, 359], [254, 253], [253, 449], [449, 254], [253, 252], [252, 450], [450, 253], [252, 256], [256, 451], [451, 252], [256, 341], [341, 452], [452, 256],\n [414, 413], [413, 463], [463, 414], [286, 441], [441, 414], [414, 286], [286, 258], [258, 441], [441, 286], [258, 257], [257, 442], [442, 258], [257, 259], [259, 443], [443, 257], [259, 260], [260, 444], [444, 259],\n [260, 467], [467, 445], [445, 260], [309, 459], [459, 250], [250, 309], [305, 289], [289, 290], [290, 305], [305, 290], [290, 460], [460, 305], [401, 376], [376, 435], [435, 401], [309, 250], [250, 392], [392, 309],\n [376, 411], [411, 433], [433, 376], [453, 341], [341, 464], [464, 453], [357, 453], [453, 465], [465, 357], [343, 357], [357, 412], [412, 343], [437, 343], [343, 399], [399, 437], [344, 360], [360, 440], [440, 344],\n [420, 437], [437, 456], [456, 420], [360, 420], [420, 363], [363, 360], [361, 401], [401, 288], [288, 361], [265, 372], [372, 353], [353, 265], [390, 339], [339, 249], [249, 390], [339, 448], [448, 255], [255, 339],\n];\n\nfunction connectionsToIndices(connections: PairArray) {\n const indices = connections.map((connection) => connection[0]);\n indices.push(connections[connections.length - 1][1]);\n return indices;\n}\n\nexport const MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = {\n lips: connectionsToIndices(LIPS_CONNECTIONS),\n leftEye: connectionsToIndices(LEFT_EYE_CONNECTIONS),\n leftEyebrow: connectionsToIndices(LEFT_EYEBROW_CONNECTIONS),\n leftIris: connectionsToIndices(LEFT_IRIS_CONNECTIONS),\n rightEye: connectionsToIndices(RIGHT_EYE_CONNECTIONS),\n rightEyebrow: connectionsToIndices(RIGHT_EYEBROW_CONNECTIONS),\n rightIris: connectionsToIndices(RIGHT_IRIS_CONNECTIONS),\n faceOval: connectionsToIndices(FACE_OVAL_CONNECTIONS),\n};\n\nconst indexLabelPairs: [number, string][] = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR)\n .map(([label, indices]) => indices.map((index) => [index, label] as [number, string]))\n .flat();\n\nexport const MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs);\n\ntype AssignAverage = number[];\nexport interface LandmarksRefinementConfig {\n indexesMapping: number[]; // Maps indexes of the given set of landmarks to indexes of the resulting set of landmarks. Should be non empty and contain the same amount of indexes as landmarks in the corresponding input\n zRefinement: 'none'|'copy'|AssignAverage; // Z refinement instructions.\n}\n\nexport const LANDMARKS_REFINEMENT_LIPS_CONFIG = [\n 61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291, // Lower outer.\n 185, 40, 39, 37, 0, 267, 269, 270, 409, // Upper outer(excluding corners).\n 78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308, // Lower inner.\n 191, 80, 81, 82, 13, 312, 311, 310, 415, // Upper inner(excluding corners).\n 76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306, // Lower semi - outer.\n 184, 74, 73, 72, 11, 302, 303, 304, 408, // Upper semi - outer(excluding corners).\n 62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292, // Lower semi - inner.\n 183, 42, 41, 38, 12, 268, 271, 272, 407, // Upper semi - inner(excluding corners).\n];\n\nexport const LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [\n 33, 7, 163, 144, 145, 153, 154, 155, 133, // Lower contour.\n 246, 161, 160, 159, 158, 157, 173, // upper contour (excluding corners).\n 130, 25, 110, 24, 23, 22, 26, 112, 243, // Halo x2 lower contour.\n 247, 30, 29, 27, 28, 56, 190, // Halo x2 upper contour (excluding corners).\n 226, 31, 228, 229, 230, 231, 232, 233, 244, // Halo x3 lower contour.\n 113, 225, 224, 223, 222, 221, 189, // Halo x3 upper contour (excluding corners).\n 35, 124, 46, 53, 52, 65, // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour.\n 143, 111, 117, 118, 119, 120, 121, 128, 245, // Halo x5 lower contour.\n 156, 70, 63, 105, 66, 107, 55, 193, // Halo x5 upper contour (excluding corners) or eyebrow outer contour.\n];\n\nexport const LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [\n 263, 249, 390, 373, 374, 380, 381, 382, 362, // Lower contour.\n 466, 388, 387, 386, 385, 384, 398, // Upper contour (excluding corners).\n 359, 255, 339, 254, 253, 252, 256, 341, 463, // Halo x2 lower contour.\n 467, 260, 259, 257, 258, 286, 414, // Halo x2 upper contour (excluding corners).\n 446, 261, 448, 449, 450, 451, 452, 453, 464, // Halo x3 lower contour.\n 342, 445, 444, 443, 442, 441, 413, // Halo x3 upper contour (excluding corners).\n 265, 353, 276, 283, 282, 295, // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour.\n 372, 340, 346, 347, 348, 349, 350, 357, 465, // Halo x5 lower contour.\n 383, 300, 293, 334, 296, 336, 285, 417, // Halo x5 upper contour (excluding corners) or eyebrow outer contour.\n];\n\nexport const LANDMARKS_REFINEMENT_LEFT_IRIS_CONFIG = [\n 468, // Center.\n 469, // Iris right edge.\n 470, // Iris top edge.\n 471, // Iris left edge.\n 472, // Iris bottom edge.\n];\n/*\nzRefinement: [\n 33, 7, 163, 144, 145, 153, 154, 155, 133, // Lower contour.\n 246, 161, 160, 159, 158, 157, 173, // Upper contour (excluding corners).\n];\n*/\n\nexport const LANDMARKS_REFINEMENT_RIGHT_IRIS_CONFIG = [\n 473, // Center.\n 474, // Iris right edge.\n 475, // Iris top edge.\n 476, // Iris left edge.\n 477, // Iris bottom edge.\n];\n/*\nzRefinement: [\n 263, 249, 390, 373, 374, 380, 381, 382, 362, // Lower contour.\n 466, 388, 387, 386, 385, 384, 398, // Upper contour (excluding corners).\n];\n*/\n", "import { TRI468 as triangulation } from '../face/facemeshcoords';\nimport { mergeDeep } from '../util/util';\nimport { getCanvasContext, rad2deg, rect, point, lines, arrow, labels, replace } from './primitives';\nimport { options } from './options';\nimport * as facemeshConstants from '../face/constants';\nimport type { FaceResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\nlet localOptions: DrawOptions;\n\nfunction drawLabels(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (!localOptions.drawLabels || (localOptions.faceLabels?.length === 0)) return;\n let l = localOptions.faceLabels.slice();\n l = replace(l, '[id]', f.id.toFixed(0));\n if (f.score) l = replace(l, '[score]', 100 * f.score);\n if (f.gender) l = replace(l, '[gender]', f.gender);\n if (f.genderScore) l = replace(l, '[genderScore]', 100 * f.genderScore);\n if (f.age) l = replace(l, '[age]', f.age);\n if (f.distance) l = replace(l, '[distance]', 100 * f.distance);\n if (f.real) l = replace(l, '[real]', 100 * f.real);\n if (f.live) l = replace(l, '[live]', 100 * f.live);\n if (f.emotion && f.emotion.length > 0) {\n const emotion = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n if (emotion.length > 3) emotion.length = 3;\n l = replace(l, '[emotions]', emotion.join(' '));\n }\n if (f.rotation?.angle?.roll) l = replace(l, '[roll]', rad2deg(f.rotation.angle.roll));\n if (f.rotation?.angle?.yaw) l = replace(l, '[yaw]', rad2deg(f.rotation.angle.yaw));\n if (f.rotation?.angle?.pitch) l = replace(l, '[pitch]', rad2deg(f.rotation.angle.pitch));\n if (f.rotation?.gaze?.bearing) l = replace(l, '[gaze]', rad2deg(f.rotation.gaze.bearing));\n labels(ctx, l, f.box[0], f.box[1], localOptions);\n}\n\nfunction drawIrisElipse(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n // iris: array[center, left, top, right, bottom]\n if (f.annotations?.leftEyeIris && f.annotations?.leftEyeIris[0]) {\n ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;\n ctx.beginPath();\n const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;\n const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;\n ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;\n ctx.fill();\n }\n }\n if (f.annotations?.rightEyeIris && f.annotations?.rightEyeIris[0]) {\n ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;\n ctx.beginPath();\n const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;\n const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;\n ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (localOptions.fillPolygons) {\n ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;\n ctx.fill();\n }\n }\n}\n\nfunction drawGazeSpheres(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawGaze && f.rotation?.angle && typeof Path2D !== 'undefined') {\n ctx.strokeStyle = 'pink';\n const valX = (f.box[0] + f.box[2] / 2) - (f.box[3] * rad2deg(f.rotation.angle.yaw) / 90);\n const valY = (f.box[1] + f.box[3] / 2) + (f.box[2] * rad2deg(f.rotation.angle.pitch) / 90);\n const pathV = new Path2D(`\n M ${f.box[0] + f.box[2] / 2} ${f.box[1]}\n C\n ${valX} ${f.box[1]},\n ${valX} ${f.box[1] + f.box[3]},\n ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]}\n `);\n const pathH = new Path2D(`\n M ${f.box[0]} ${f.box[1] + f.box[3] / 2}\n C \n ${f.box[0]} ${valY},\n ${f.box[0] + f.box[2]} ${valY},\n ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2}\n `);\n ctx.stroke(pathH);\n ctx.stroke(pathV);\n }\n}\n\nfunction drawGazeArrows(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawGaze && f.rotation?.gaze.strength && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) {\n ctx.strokeStyle = 'pink';\n ctx.fillStyle = 'pink';\n const leftGaze = [\n f.annotations.leftEyeIris[0][0] + (Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3]),\n f.annotations.leftEyeIris[0][1] + (Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2]),\n ];\n arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4);\n const rightGaze = [\n f.annotations.rightEyeIris[0][0] + (Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3]),\n f.annotations.rightEyeIris[0][1] + (Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2]),\n ];\n arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4);\n }\n}\n\nfunction drawFacePolygons(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawPolygons && f.mesh.length >= 468) {\n ctx.lineWidth = 1;\n for (let i = 0; i < triangulation.length / 3; i++) {\n const points = [triangulation[i * 3 + 0], triangulation[i * 3 + 1], triangulation[i * 3 + 2]].map((index) => f.mesh[index]);\n lines(ctx, points, localOptions);\n }\n drawIrisElipse(f, ctx);\n }\n /*\n if (localOptions.drawPolygons && f.contours.length > 1) {\n ctx.lineWidth = 5;\n lines(ctx, f.contours, opt);\n }\n ctx.lineWidth = 1;\n */\n}\n\nfunction drawFacePoints(f: FaceResult, ctx: CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D) {\n if (localOptions.drawPoints) {\n if (f?.mesh.length >= 468) {\n for (let i = 0; i < f.mesh.length; i++) {\n point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions);\n if (localOptions.drawAttention) {\n if (facemeshConstants.LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) + 127, localOptions);\n if (facemeshConstants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) - 127, localOptions);\n if (facemeshConstants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) point(ctx, f.mesh[i][0], f.mesh[i][1], (f.mesh[i][2] as number) - 127, localOptions);\n }\n }\n } else {\n for (const [k, v] of Object.entries(f?.annotations || {})) {\n if (!v?.[0]) continue;\n const pt = v[0];\n point(ctx, pt[0], pt[1], 0, localOptions);\n if (localOptions.drawLabels) labels(ctx, k, pt[0], pt[1], localOptions);\n }\n }\n }\n}\n\nfunction drawFaceBoxes(f: FaceResult, ctx) {\n if (localOptions.drawBoxes) {\n rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions);\n }\n}\n\n/** draw detected faces */\nexport function face(inCanvas: AnyCanvas, result: FaceResult[], drawOptions?: Partial) {\n localOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.font = localOptions.font;\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n for (const f of result) {\n drawFaceBoxes(f, ctx);\n drawLabels(f, ctx);\n if (f.mesh && f.mesh.length > 0) {\n drawFacePoints(f, ctx);\n drawFacePolygons(f, ctx);\n drawGazeSpheres(f, ctx);\n drawGazeArrows(f, ctx);\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, point, curves, colorDepth, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { BodyResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected bodies */\nexport function body(inCanvas: AnyCanvas, result: BodyResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n for (let i = 0; i < result.length; i++) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n ctx.lineWidth = localOptions.lineWidth;\n ctx.font = localOptions.font;\n if (localOptions.drawBoxes && result[i].box && result[i].box.length === 4) {\n rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.bodyLabels?.length > 0)) {\n let l = localOptions.bodyLabels.slice();\n l = replace(l, '[id]', result[i].id.toFixed(0));\n l = replace(l, '[score]', 100 * result[i].score);\n labels(ctx, l, result[i].box[0], result[i].box[1], localOptions);\n }\n }\n if (localOptions.drawPoints && result[i].keypoints) {\n for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n if (!result[i].keypoints[pt].score || (result[i].keypoints[pt].score === 0)) continue;\n ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions);\n point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);\n }\n }\n if (localOptions.drawLabels && (localOptions.bodyPartLabels?.length > 0) && result[i].keypoints) {\n ctx.font = localOptions.font;\n for (const pt of result[i].keypoints) {\n if (!pt.score || (pt.score === 0)) continue;\n let l = localOptions.bodyPartLabels.slice();\n l = replace(l, '[label]', pt.part);\n l = replace(l, '[score]', 100 * pt.score);\n labels(ctx, l, pt.position[0], pt.position[1], localOptions);\n }\n }\n if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {\n for (const part of Object.values(result[i].annotations)) {\n for (const connected of part) curves(ctx, connected, localOptions);\n }\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, point, colorDepth, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { HandResult } from '../result';\nimport type { AnyCanvas, DrawOptions, Point } from '../exports';\n\n/** draw detected hands */\nexport function hand(inCanvas: AnyCanvas, result: HandResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n for (const h of result) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.handLabels?.length > 0)) {\n let l = localOptions.handLabels.slice();\n l = replace(l, '[id]', h.id.toFixed(0));\n l = replace(l, '[label]', h.label);\n l = replace(l, '[score]', 100 * h.score);\n labels(ctx, l, h.box[0], h.box[1], localOptions);\n }\n ctx.stroke();\n }\n if (localOptions.drawPoints) {\n if (h.keypoints && h.keypoints.length > 0) {\n for (const pt of h.keypoints) {\n ctx.fillStyle = colorDepth(pt[2], localOptions);\n point(ctx, pt[0], pt[1], 0, localOptions);\n }\n }\n }\n if (localOptions.drawLabels && h.annotations && (localOptions.fingerLabels?.length > 0)) {\n for (const [part, pt] of Object.entries(h.annotations)) {\n let l = localOptions.fingerLabels.slice();\n l = replace(l, '[label]', part);\n labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions);\n }\n }\n if (localOptions.drawPolygons && h.annotations) {\n const addHandLine = (part: Point[]) => {\n if (!part || part.length === 0 || !part[0]) return;\n for (let i = 0; i < part.length; i++) {\n ctx.beginPath();\n const z = part[i][2] || 0;\n ctx.strokeStyle = colorDepth(i * z, localOptions);\n ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n ctx.lineTo(part[i][0], part[i][1]);\n ctx.stroke();\n }\n };\n ctx.lineWidth = localOptions.lineWidth;\n addHandLine(h.annotations.index);\n addHandLine(h.annotations.middle);\n addHandLine(h.annotations.ring);\n addHandLine(h.annotations.pinky);\n addHandLine(h.annotations.thumb);\n // addPart(h.annotations.palm);\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, rect, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { ObjectResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected objects */\nexport function object(inCanvas: AnyCanvas, result: ObjectResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.lineJoin = 'round';\n ctx.font = localOptions.font;\n for (const h of result) {\n if (localOptions.drawBoxes) {\n ctx.strokeStyle = localOptions.color;\n ctx.fillStyle = localOptions.color;\n rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n if (localOptions.drawLabels && (localOptions.objectLabels?.length > 0)) {\n let l = localOptions.objectLabels.slice();\n l = replace(l, '[id]', h.id.toFixed(0));\n l = replace(l, '[label]', h.label);\n l = replace(l, '[score]', 100 * h.score);\n labels(ctx, l, h.box[0], h.box[1], localOptions);\n }\n ctx.stroke();\n }\n }\n}\n", "import { mergeDeep } from '../util/util';\nimport { getCanvasContext, replace, labels } from './primitives';\nimport { options } from './options';\nimport type { GestureResult } from '../result';\nimport type { AnyCanvas, DrawOptions } from '../exports';\n\n/** draw detected gestures */\nexport function gesture(inCanvas: AnyCanvas, result: GestureResult[], drawOptions?: Partial) {\n const localOptions: DrawOptions = mergeDeep(options, drawOptions);\n if (!result || !inCanvas) return;\n if (localOptions.drawGestures && (localOptions.gestureLabels?.length > 0)) {\n const ctx = getCanvasContext(inCanvas) as CanvasRenderingContext2D;\n if (!ctx) return;\n ctx.font = localOptions.font;\n ctx.fillStyle = localOptions.color;\n let i = 1;\n for (let j = 0; j < result.length; j++) {\n const [where, what] = Object.entries(result[j]);\n if ((what.length > 1) && ((what[1] as string).length > 0)) {\n const who = where[1] as number > 0 ? `#${where[1]}` : '';\n let l = localOptions.gestureLabels.slice();\n l = replace(l, '[where]', where[0]);\n l = replace(l, '[who]', who);\n l = replace(l, '[what]', what[1]);\n labels(ctx, l, 8, 2 + (i * localOptions.lineHeight), localOptions);\n i += 1;\n }\n }\n }\n}\n", "export const defaultLabels = {\n face: `face\n confidence: [score]%\n [gender] [genderScore]%\n age: [age] years\n distance: [distance]cm\n real: [real]%\n live: [live]%\n [emotions]\n roll: [roll]\u00B0 yaw:[yaw]\u00B0 pitch:[pitch]\u00B0\n gaze: [gaze]\u00B0`,\n body: 'body [score]%',\n bodyPart: '[label] [score]%',\n object: '[label] [score]%',\n hand: '[label] [score]%',\n finger: '[label]',\n gesture: '[where] [who]: [what]',\n};\n", "/* eslint-disable no-multi-spaces */\n\nexport const kpt: string[] = [\n 'nose', // 0\n 'leftEyeInside', // 1\n 'leftEye', // 2\n 'leftEyeOutside', // 3\n 'rightEyeInside', // 4\n 'rightEye', // 5\n 'rightEyeOutside', // 6\n 'leftEar', // 7\n 'rightEar', // 8\n 'leftMouth', // 9\n 'rightMouth', // 10\n 'leftShoulder', // 11\n 'rightShoulder', // 12\n 'leftElbow', // 13\n 'rightElbow', // 14\n 'leftWrist', // 15\n 'rightWrist', // 16\n 'leftPinky', // 17\n 'rightPinky', // 18\n 'leftIndex', // 19\n 'rightIndex', // 20\n 'leftThumb', // 21\n 'rightThumb', // 22\n 'leftHip', // 23\n 'rightHip', // 24\n 'leftKnee', // 25\n 'rightKnee', // 26\n 'leftAnkle', // 27\n 'rightAnkle', // 28\n 'leftHeel', // 29\n 'rightHeel', // 30\n 'leftFoot', // 31\n 'rightFoot', // 32\n 'bodyCenter', // 33\n 'bodyTop', // 34\n 'leftPalm', // 35 // z-coord not ok\n 'leftHand', // 36 // similar to wrist but z-coord not ok\n 'rightPalm', // 37 // z-coord not ok\n 'rightHand', // 38 // similar to wrist but z-coord not ok\n];\n\nexport const connected: Record = {\n shoulders: ['leftShoulder', 'rightShoulder'],\n hips: ['rightHip', 'leftHip'],\n mouth: ['leftMouth', 'rightMouth'],\n leftLegUpper: ['leftHip', 'leftKnee'],\n leftLegLower: ['leftKnee', 'leftAnkle'],\n leftFoot: ['leftAnkle', 'leftHeel', 'leftFoot'],\n leftTorso: ['leftShoulder', 'leftHip'],\n leftArmUpper: ['leftShoulder', 'leftElbow'],\n leftArmLower: ['leftElbow', 'leftWrist'],\n leftHand: ['leftWrist', 'leftPalm'],\n leftHandPinky: ['leftPalm', 'leftPinky'],\n leftHandIndex: ['leftPalm', 'leftIndex'],\n leftHandThumb: ['leftPalm', 'leftThumb'],\n leftEyeOutline: ['leftEyeInside', 'leftEyeOutside'],\n rightLegUpper: ['rightHip', 'rightKnee'],\n rightLegLower: ['rightKnee', 'rightAnkle'],\n rightFoot: ['rightAnkle', 'rightHeel', 'rightFoot'],\n rightTorso: ['rightShoulder', 'rightHip'],\n rightArmUpper: ['rightShoulder', 'rightElbow'],\n rightArmLower: ['rightElbow', 'rightWrist'],\n rightHand: ['rightWrist', 'rightPalm'],\n rightHandPinky: ['rightPalm', 'rightPinky'],\n rightHandIndex: ['rightPalm', 'rightIndex'],\n rightHandThumb: ['rightPalm', 'rightThumb'],\n rightEyeOutline: ['rightEyeInside', 'rightEyeOutside'],\n};\n", "import * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { env } from '../util/env';\nimport { loadModel } from '../tfjs/load';\nimport type { Box } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D } from '../tfjs/types';\n\nexport interface DetectedBox { box: Box, boxRaw: Box, score: number }\n\nlet model: GraphModel | null;\nlet inputSize = 224;\nlet anchorTensor: { x, y };\nconst numLayers = 5;\nconst strides = [8, 16, 32, 32, 32];\n\nexport function createAnchors() {\n const anchors: { x: number, y: number }[] = [];\n let layerId = 0;\n while (layerId < numLayers) {\n let anchorCount = 0;\n let lastSameStrideLayer = layerId;\n while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) {\n anchorCount += 2;\n lastSameStrideLayer++;\n }\n const stride = strides[layerId];\n const featureMapHeight = Math.ceil(inputSize / stride);\n const featureMapWidth = Math.ceil(inputSize / stride);\n for (let y = 0; y < featureMapHeight; ++y) {\n for (let x = 0; x < featureMapWidth; ++x) {\n for (let anchorId = 0; anchorId < anchorCount; ++anchorId) {\n anchors.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight });\n }\n }\n }\n layerId = lastSameStrideLayer;\n }\n anchorTensor = { x: tf.tensor1d(anchors.map((a) => a.x)), y: tf.tensor1d(anchors.map((a) => a.y)) };\n}\n\nexport async function loadDetector(config: Config): Promise {\n if (env.initial) model = null;\n if (!model && config.body['detector'] && config.body['detector'].modelPath || '') {\n model = await loadModel(config.body['detector'].modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n } else if (config.debug && model) log('cached model:', model['modelUrl']);\n createAnchors();\n return model as GraphModel;\n}\n\nconst cropFactor = [5.0, 5.0];\nexport function decodeBoxes(boxesTensor, anchor) {\n return tf.tidy(() => {\n const split = tf.split(boxesTensor, 12, 1); // first 4 are box data [x,y,w,h] and 4 are keypoints data [x,y] for total of 12\n let xCenter = tf.squeeze(split[0]);\n let yCenter = tf.squeeze(split[1]);\n let width = tf.squeeze(split[2]);\n let height = tf.squeeze(split[3]);\n xCenter = tf.add(tf.div(xCenter, inputSize), anchor.x);\n yCenter = tf.add(tf.div(yCenter, inputSize), anchor.y);\n width = tf.mul(tf.div(width, inputSize), cropFactor[0]);\n height = tf.mul(tf.div(height, inputSize), cropFactor[1]);\n const xMin = tf.sub(xCenter, tf.div(width, 2));\n const yMin = tf.sub(yCenter, tf.div(height, 2));\n const xMax = tf.add(xMin, width);\n const yMax = tf.add(yMin, height);\n const boxes = tf.stack([xMin, yMin, xMax, yMax], 1);\n return boxes;\n });\n}\n\nasync function decodeResults(boxesTensor: Tensor, logitsTensor: Tensor, config: Config, outputSize: [number, number]): Promise {\n const detectedBoxes: DetectedBox[] = [];\n const t: Record = {};\n t.boxes = decodeBoxes(boxesTensor, anchorTensor);\n t.scores = tf.sigmoid(logitsTensor);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, 1, config.body['detector']?.minConfidence || 0.1, config.body['detector']?.iouThreshold || 0.1);\n const nms = await t.nms.data();\n const scores = await t.scores.data();\n const boxes = await t.boxes.array();\n for (const i of Array.from(nms)) {\n const score = scores[i];\n const boxRaw: Box = boxes[i];\n const box: Box = [Math.round(boxRaw[0] * outputSize[0]), Math.round(boxRaw[1] * outputSize[1]), Math.round(boxRaw[2] * outputSize[0]), Math.round(boxRaw[3] * outputSize[1])];\n const detectedBox: DetectedBox = { score, boxRaw, box };\n detectedBoxes.push(detectedBox);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return detectedBoxes;\n}\n\nexport async function detectBoxes(input: Tensor, config: Config, outputSize: [number, number]) {\n const t: Record = {};\n t.res = model?.execute(input, ['Identity']) as Tensor; //\n t.logitsRaw = tf.slice(t.res, [0, 0, 0], [1, -1, 1]);\n t.boxesRaw = tf.slice(t.res, [0, 0, 1], [1, -1, -1]);\n t.logits = tf.squeeze(t.logitsRaw);\n t.boxes = tf.squeeze(t.boxesRaw);\n const boxes = await decodeResults(t.boxes, t.logits, config, outputSize);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n", "import type { Point, Box } from '../result';\n\nexport function calc(keypoints: Point[], outputSize: [number, number] = [1, 1]) {\n const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; // all x/y coords\n const min = [Math.min(...coords[0]), Math.min(...coords[1])];\n const max = [Math.max(...coords[0]), Math.max(...coords[1])];\n const box: Box = [min[0], min[1], max[0] - min[0], max[1] - min[1]];\n const boxRaw: Box = [box[0] / outputSize[0], box[1] / outputSize[1], box[2] / outputSize[0], box[3] / outputSize[1]];\n return { box, boxRaw };\n}\n\nexport function square(keypoints: Point[], outputSize: [number, number] = [1, 1]) {\n const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; // all x/y coords\n const min = [Math.min(...coords[0]), Math.min(...coords[1])];\n const max = [Math.max(...coords[0]), Math.max(...coords[1])];\n const center = [(min[0] + max[0]) / 2, (min[1] + max[1]) / 2]; // find center x and y coord of all fingers\n const dist = Math.max(center[0] - min[0], center[1] - min[1], -center[0] + max[0], -center[1] + max[1]); // largest distance from center in any direction\n const box: Box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)];\n const boxRaw: Box = [box[0] / outputSize[0], box[1] / outputSize[1], box[2] / outputSize[0], box[3] / outputSize[1]];\n return { box, boxRaw };\n}\n\nexport function scale(box: Box, scaleFact: number) {\n const dist = [box[2] * scaleFact, box[3] * scaleFact];\n const newBox: Box = [\n box[0] - (dist[0] - box[2]) / 2,\n box[1] - (dist[1] - box[3]) / 2,\n dist[0],\n dist[1],\n ];\n return newBox;\n}\n\nexport function crop(box: Box) { // [y1, x1, y2, x2] clamped to 0..1\n const yxBox: Box = [Math.max(0, box[1]), Math.max(0, box[0]), Math.min(1, box[3] + box[1]), Math.min(1, box[2] + box[0])];\n return yxBox;\n}\n", "/**\n * BlazePose model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport { log, now } from '../util/util';\nimport type { BodyKeypoint, BodyResult, BodyLandmark, Box, Point, BodyAnnotation } from '../result';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport * as coords from './blazeposecoords';\nimport { loadDetector, detectBoxes, DetectedBox } from './blazeposedetector';\nimport * as box from '../util/box';\nimport { env } from '../util/env';\n\n// const models: [GraphModel | null, GraphModel | null] = [null, null];\nlet model: GraphModel | null;\nlet inputSize = 256;\nlet skipped = Number.MAX_SAFE_INTEGER;\nconst outputNodes: { detector: string[], landmarks: string[] } = {\n landmarks: ['ld_3d', 'activation_segmentation', 'activation_heatmap', 'world_3d', 'output_poseflag'],\n detector: [],\n};\n\nconst cache: BodyResult[] = [];\nlet padding: [number, number][] = [[0, 0], [0, 0], [0, 0], [0, 0]];\nlet lastTime = 0;\n\nconst sigmoid = (x) => (1 - (1 / (1 + Math.exp(x))));\n\nexport const loadDetect = (config: Config): Promise => loadDetector(config);\n\nexport async function loadPose(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n model = await loadModel(config.body.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nfunction prepareImage(input: Tensor4D, size: number, cropBox?: Box): Tensor {\n const t: Record = {};\n if (!input?.shape?.[1] || !input?.shape?.[2]) return input;\n let final: Tensor;\n if (cropBox) {\n t.cropped = tf.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); // if we have cached box use it to crop input\n }\n if (input.shape[1] !== input.shape[2]) { // only pad if width different than height\n const height: [number, number] = [\n input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0,\n input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0,\n ];\n const width: [number, number] = [\n input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0,\n input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0,\n ];\n padding = [\n [0, 0], // dont touch batch\n height, // height before&after\n width, // width before&after\n [0, 0], // dont touch rbg\n ];\n t.pad = tf.pad(t.cropped || input, padding); // use cropped box if it exists\n t.resize = tf.image.resizeBilinear(t.pad as Tensor4D, [size, size]);\n final = tf.div(t.resize, constants.tf255);\n } else if (input.shape[1] !== size) { // if input needs resizing\n t.resize = tf.image.resizeBilinear(t.cropped as Tensor4D || input, [size, size]);\n final = tf.div(t.resize, constants.tf255);\n } else { // if input is already in a correct resolution just normalize it\n final = tf.div(t.cropped || input, constants.tf255);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return final;\n}\n\nfunction rescaleKeypoints(keypoints: BodyKeypoint[], outputSize: [number, number], cropBox?: Box): BodyKeypoint[] {\n for (const kpt of keypoints) { // first rescale due to padding\n kpt.position = [\n Math.trunc(kpt.position[0] * (outputSize[0] + padding[2][0] + padding[2][1]) / outputSize[0] - padding[2][0]),\n Math.trunc(kpt.position[1] * (outputSize[1] + padding[1][0] + padding[1][1]) / outputSize[1] - padding[1][0]),\n kpt.position[2] as number,\n ];\n kpt.positionRaw = [kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1], 2 * (kpt.position[2] as number) / (outputSize[0] + outputSize[1])];\n }\n if (cropBox) { // second rescale due to cropping\n const width = cropBox[2] - cropBox[0];\n const height = cropBox[3] - cropBox[1];\n for (const kpt of keypoints) {\n kpt.positionRaw = [\n kpt.positionRaw[0] / height + cropBox[1], // correct offset due to crop\n kpt.positionRaw[1] / width + cropBox[0], // correct offset due to crop\n kpt.positionRaw[2] as number,\n ];\n kpt.position = [\n Math.trunc(kpt.positionRaw[0] * outputSize[0]),\n Math.trunc(kpt.positionRaw[1] * outputSize[1]),\n kpt.positionRaw[2] as number,\n ];\n }\n }\n return keypoints;\n}\n\nfunction fixKeypoints(keypoints: BodyKeypoint[]) {\n // palm z-coord is incorrect around near-zero so we approximate it\n const leftPalm = keypoints.find((k) => k.part === 'leftPalm') as BodyKeypoint;\n const leftWrist = keypoints.find((k) => k.part === 'leftWrist') as BodyKeypoint;\n const leftIndex = keypoints.find((k) => k.part === 'leftIndex') as BodyKeypoint;\n leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2;\n const rightPalm = keypoints.find((k) => k.part === 'rightPalm') as BodyKeypoint;\n const rightWrist = keypoints.find((k) => k.part === 'rightWrist') as BodyKeypoint;\n const rightIndex = keypoints.find((k) => k.part === 'rightIndex') as BodyKeypoint;\n rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2;\n}\n\nasync function detectLandmarks(input: Tensor, config: Config, outputSize: [number, number]): Promise {\n /**\n * t.ld: 39 keypoints [x,y,z,score,presence] normalized to input size\n * t.segmentation:\n * t.heatmap:\n * t.world: 39 keypoints [x,y,z] normalized to -1..1\n * t.poseflag: body score\n */\n if (!model?.['executor']) return null;\n const t: Record = {};\n [t.ld/* 1,195(39*5) */, t.segmentation/* 1,256,256,1 */, t.heatmap/* 1,64,64,39 */, t.world/* 1,117(39*3) */, t.poseflag/* 1,1 */] = model?.execute(input, outputNodes.landmarks) as Tensor[]; // run model\n const poseScore = (await t.poseflag.data())[0];\n const points = await t.ld.data();\n const distances = await t.world.data();\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor])); // dont need tensors after this\n const keypointsRelative: BodyKeypoint[] = [];\n const depth = 5; // each points has x,y,z,visibility,presence\n for (let i = 0; i < points.length / depth; i++) {\n const score = sigmoid(points[depth * i + 3]);\n const presence = sigmoid(points[depth * i + 4]);\n const adjScore = Math.trunc(100 * score * presence * poseScore) / 100;\n const positionRaw: Point = [points[depth * i + 0] / inputSize, points[depth * i + 1] / inputSize, points[depth * i + 2] + 0];\n const position: Point = [Math.trunc(outputSize[0] * positionRaw[0]), Math.trunc(outputSize[1] * positionRaw[1]), positionRaw[2] as number];\n const distance: Point = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0];\n keypointsRelative.push({ part: coords.kpt[i] as BodyLandmark, positionRaw, position, distance, score: adjScore });\n }\n if (poseScore < (config.body.minConfidence || 0)) return null;\n fixKeypoints(keypointsRelative);\n const keypoints: BodyKeypoint[] = rescaleKeypoints(keypointsRelative, outputSize); // keypoints were relative to input image which is padded\n const kpts = keypoints.map((k) => k.position);\n const boxes = box.calc(kpts, [outputSize[0], outputSize[1]]); // now find boxes based on rescaled keypoints\n const annotations: Record = {} as Record;\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kpt) => kpt.part === indexes[i]);\n const pt1 = keypoints.find((kpt) => kpt.part === indexes[i + 1]);\n if (pt0 && pt1) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n const body = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations };\n return body;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n const outputSize: [number, number] = [input.shape[2] || 0, input.shape[1] || 0];\n const skipTime = (config.body.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && cache !== null) {\n skipped++;\n } else {\n let boxes: DetectedBox[] = [];\n if (config.body?.['detector']?.['enabled']) {\n const preparedImage = prepareImage(input, 224);\n boxes = await detectBoxes(preparedImage, config, outputSize);\n tf.dispose(preparedImage);\n } else {\n boxes = [{ box: [0, 0, 0, 0] as Box, boxRaw: [0, 0, 1, 1], score: 0 }]; // running without detector\n }\n for (let i = 0; i < boxes.length; i++) {\n const preparedBox = prepareImage(input, 256, boxes[i]?.boxRaw); // padded and resized\n cache.length = 0;\n const bodyResult = await detectLandmarks(preparedBox, config, outputSize);\n tf.dispose(preparedBox);\n if (!bodyResult) continue;\n bodyResult.id = i;\n // bodyResult.score = 0; // TBD\n cache.push(bodyResult);\n }\n /*\n cropBox = [0, 0, 1, 1]; // reset crop coordinates\n if (cache?.boxRaw && config.skipAllowed) {\n const cx = (2.0 * cache.boxRaw[0] + cache.boxRaw[2]) / 2;\n const cy = (2.0 * cache.boxRaw[1] + cache.boxRaw[3]) / 2;\n let size = cache.boxRaw[2] > cache.boxRaw[3] ? cache.boxRaw[2] : cache.boxRaw[3];\n size = (size * 1.0) / 2; // enlarge and half it\n if (cx > 0.1 && cx < 0.9 && cy > 0.1 && cy < 0.9 && size > 0.1) { // only update if box is sane\n const y = 0; // cy - size;\n const x = cx - size;\n cropBox = [y, x, y + 1, x + 1]; // [y0,x0,y1,x1] used for cropping but width/height are not yet implemented so we only reposition image to center of body\n }\n }\n */\n lastTime = now();\n skipped = 0;\n }\n return cache;\n}\n", "/**\n * CoCo Labels used by object detection implementations\n */\nexport const labels = [\n { class: 1, label: 'person' },\n { class: 2, label: 'bicycle' },\n { class: 3, label: 'car' },\n { class: 4, label: 'motorcycle' },\n { class: 5, label: 'airplane' },\n { class: 6, label: 'bus' },\n { class: 7, label: 'train' },\n { class: 8, label: 'truck' },\n { class: 9, label: 'boat' },\n { class: 10, label: 'traffic light' },\n { class: 11, label: 'fire hydrant' },\n { class: 12, label: 'stop sign' },\n { class: 13, label: 'parking meter' },\n { class: 14, label: 'bench' },\n { class: 15, label: 'bird' },\n { class: 16, label: 'cat' },\n { class: 17, label: 'dog' },\n { class: 18, label: 'horse' },\n { class: 19, label: 'sheep' },\n { class: 20, label: 'cow' },\n { class: 21, label: 'elephant' },\n { class: 22, label: 'bear' },\n { class: 23, label: 'zebra' },\n { class: 24, label: 'giraffe' },\n { class: 25, label: 'backpack' },\n { class: 26, label: 'umbrella' },\n { class: 27, label: 'handbag' },\n { class: 28, label: 'tie' },\n { class: 29, label: 'suitcase' },\n { class: 30, label: 'frisbee' },\n { class: 31, label: 'skis' },\n { class: 32, label: 'snowboard' },\n { class: 33, label: 'sports ball' },\n { class: 34, label: 'kite' },\n { class: 35, label: 'baseball bat' },\n { class: 36, label: 'baseball glove' },\n { class: 37, label: 'skateboard' },\n { class: 38, label: 'surfboard' },\n { class: 39, label: 'tennis racket' },\n { class: 40, label: 'bottle' },\n { class: 41, label: 'wine glass' },\n { class: 42, label: 'cup' },\n { class: 43, label: 'fork' },\n { class: 44, label: 'knife' },\n { class: 45, label: 'spoon' },\n { class: 46, label: 'bowl' },\n { class: 47, label: 'banana' },\n { class: 48, label: 'apple' },\n { class: 49, label: 'sandwich' },\n { class: 50, label: 'orange' },\n { class: 51, label: 'broccoli' },\n { class: 52, label: 'carrot' },\n { class: 53, label: 'hot dog' },\n { class: 54, label: 'pizza' },\n { class: 55, label: 'donut' },\n { class: 56, label: 'cake' },\n { class: 57, label: 'chair' },\n { class: 58, label: 'couch' },\n { class: 59, label: 'potted plant' },\n { class: 60, label: 'bed' },\n { class: 61, label: 'dining table' },\n { class: 62, label: 'toilet' },\n { class: 63, label: 'tv' },\n { class: 64, label: 'laptop' },\n { class: 65, label: 'mouse' },\n { class: 66, label: 'remote' },\n { class: 67, label: 'keyboard' },\n { class: 68, label: 'cell phone' },\n { class: 69, label: 'microwave' },\n { class: 70, label: 'oven' },\n { class: 71, label: 'toaster' },\n { class: 72, label: 'sink' },\n { class: 73, label: 'refrigerator' },\n { class: 74, label: 'book' },\n { class: 75, label: 'clock' },\n { class: 76, label: 'vase' },\n { class: 77, label: 'scissors' },\n { class: 78, label: 'teddy bear' },\n { class: 79, label: 'hair drier' },\n { class: 80, label: 'toothbrush' },\n];\n", "/**\n * CenterNet object detection model implementation\n *\n * Based on: [**MB3-CenterNet**](https://github.com/610265158/mobilenetv3_centernet)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { labels } from './labels';\nimport type { ObjectResult, ObjectType, Box } from '../result';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\nlet last: ObjectResult[] = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n // fakeOps(['floormod'], config);\n model = await loadModel(config.object.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nasync function process(res: Tensor | null, outputShape: [number, number], config: Config) {\n if (!res) return [];\n const t: Record = {};\n const results: ObjectResult[] = [];\n const detections = await res.array() as number[][][];\n t.squeeze = tf.squeeze(res);\n const arr = tf.split(t.squeeze, 6, 1); // x1, y1, x2, y2, score, class\n t.stack = tf.stack([arr[1], arr[0], arr[3], arr[2]], 1); // reorder dims as tf.nms expects y, x\n t.boxes = tf.squeeze(t.stack);\n t.scores = tf.squeeze(arr[4]);\n t.classes = tf.squeeze(arr[5]);\n tf.dispose([res, ...arr]);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, config.object.maxDetected || 0, config.object.iouThreshold, (config.object.minConfidence || 0));\n const nms = await t.nms.data();\n let i = 0;\n for (const id of Array.from(nms)) {\n const score = Math.trunc(100 * detections[0][id][4]) / 100;\n const classVal = detections[0][id][5];\n if (Number.isNaN(classVal)) continue;\n const label = labels[classVal].label as ObjectType;\n const [x, y] = [\n detections[0][id][0] / inputSize,\n detections[0][id][1] / inputSize,\n ];\n const boxRaw: Box = [\n x,\n y,\n detections[0][id][2] / inputSize - x,\n detections[0][id][3] / inputSize - y,\n ];\n const box: Box = [\n Math.trunc(boxRaw[0] * outputShape[0]),\n Math.trunc(boxRaw[1] * outputShape[1]),\n Math.trunc(boxRaw[2] * outputShape[0]),\n Math.trunc(boxRaw[3] * outputShape[1]),\n ];\n results.push({ id: i++, score, class: classVal, label, box, boxRaw });\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return results;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model?.['executor']) return [];\n const skipTime = (config.object.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.object.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (last.length > 0)) {\n skipped++;\n return last;\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const outputSize = [input.shape[2] || 0, input.shape[1] || 0] as [number, number];\n const resize = tf.image.resizeBilinear(input, [inputSize, inputSize]);\n const objectT = config.object.enabled ? model?.execute(resize, ['tower_0/detections']) as Tensor : null;\n lastTime = now();\n tf.dispose(resize);\n\n const obj = await process(objectT, outputSize, config);\n last = obj;\n\n resolve(obj);\n });\n}\n", "export const kpt: string[] = [\n 'head',\n 'neck',\n 'rightShoulder',\n 'rightElbow',\n 'rightWrist',\n 'chest',\n 'leftShoulder',\n 'leftElbow',\n 'leftWrist',\n 'bodyCenter',\n 'rightHip',\n 'rightKnee',\n 'rightAnkle',\n 'leftHip',\n 'leftKnee',\n 'leftAnkle',\n];\n\nexport const connected: Record = {\n leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],\n rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],\n torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],\n rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],\n head: [],\n};\n", "/**\n * EfficientPose model implementation\n *\n * Based on: [**EfficientPose**](https://github.com/daniegr/EfficientPose)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport * as coords from './efficientposecoords';\nimport { constants } from '../tfjs/constants';\nimport type { BodyResult, Point, BodyLandmark, BodyAnnotation } from '../result';\nimport type { GraphModel, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet lastTime = 0;\nconst cache: BodyResult = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} as Record };\n\n// const keypoints: Array = [];\n// let box: Box = [0, 0, 0, 0];\n// let boxRaw: Box = [0, 0, 0, 0];\n// let score = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.body.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\n// performs argmax and max functions on a 2d tensor\nasync function max2d(inputs, minScore): Promise<[number, number, number]> {\n const [width, height] = inputs.shape;\n const reshaped = tf.reshape(inputs, [height * width]); // combine all data\n const max = tf.max(reshaped, 0);\n const newScore: number = (await max.data())[0]; // get highest score\n if (newScore > minScore) { // skip coordinate calculation is score is too low\n const coordinates = tf.argMax(reshaped, 0);\n const mod = tf.mod(coordinates, width);\n const x = (await mod.data())[0];\n const div = tf.div(coordinates, width);\n const y: number = (await div.data())[0];\n tf.dispose([reshaped, max, coordinates, mod, div]);\n return [x, y, newScore];\n }\n tf.dispose([reshaped, max]);\n return [0, 0, newScore];\n}\n\nexport async function predict(image: Tensor4D, config: Config): Promise {\n if (!model?.['executor'] || !model?.inputs[0].shape) return [];\n const skipTime = (config.body.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && Object.keys(cache.keypoints).length > 0) {\n skipped++;\n return [cache];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const tensor = tf.tidy(() => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape?.[2] || 0, model?.inputs[0].shape?.[1] || 0], false);\n const enhance = tf.mul(resize, constants.tf2);\n const norm = tf.sub(enhance, constants.tf1);\n return norm;\n });\n let resT;\n if (config.body.enabled) resT = model?.execute(tensor);\n lastTime = now();\n tf.dispose(tensor);\n\n if (resT) {\n cache.keypoints.length = 0;\n const squeeze = tf.squeeze(resT);\n tf.dispose(resT);\n // body parts are basically just a stack of 2d tensors\n const stack = tf.unstack(squeeze, 2);\n tf.dispose(squeeze);\n\n // process each unstacked tensor as a separate body part\n for (let id = 0; id < stack.length; id++) {\n // actual processing to get coordinates and score\n const [x, y, partScore] = await max2d(stack[id], config.body.minConfidence);\n if (partScore > (config.body.minConfidence || 0)) {\n cache.keypoints.push({\n score: Math.round(100 * partScore) / 100,\n part: coords.kpt[id] as BodyLandmark,\n positionRaw: [ // normalized to 0..1\n // @ts-ignore model is not undefined here\n x / model.inputs[0].shape[2], y / model.inputs[0].shape[1],\n ],\n position: [ // normalized to input image size\n // @ts-ignore model is not undefined here\n Math.round(image.shape[2] * x / model.inputs[0].shape[2]), Math.round(image.shape[1] * y / model.inputs[0].shape[1]),\n ],\n });\n }\n }\n stack.forEach((s) => tf.dispose(s));\n }\n cache.score = cache.keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);\n const x = cache.keypoints.map((a) => a.position[0]);\n const y = cache.keypoints.map((a) => a.position[1]);\n cache.box = [\n Math.min(...x),\n Math.min(...y),\n Math.max(...x) - Math.min(...x),\n Math.max(...y) - Math.min(...y),\n ];\n const xRaw = cache.keypoints.map((a) => a.positionRaw[0]);\n const yRaw = cache.keypoints.map((a) => a.positionRaw[1]);\n cache.boxRaw = [\n Math.min(...xRaw),\n Math.min(...yRaw),\n Math.max(...xRaw) - Math.min(...xRaw),\n Math.max(...yRaw) - Math.min(...yRaw),\n ];\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = cache.keypoints.find((kpt) => kpt.part === indexes[i]);\n const pt1 = cache.keypoints.find((kpt) => kpt.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n cache.annotations[name] = pt;\n }\n resolve([cache]);\n });\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as coords from './facemeshcoords';\nimport { constants } from '../tfjs/constants';\nimport type { Box, Point } from '../result';\nimport { env } from '../util/env';\n\nexport const createBox = (startEndTensor) => ({ startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]), endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]) });\n\nexport const disposeBox = (t) => tf.dispose([t.startPoint, t.endPoint]);\n\nexport const getBoxSize = (box): [number, number] => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])];\n\nexport const getBoxCenter = (box): [number, number, number] => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1];\n\nexport const clampBox = (box, input): Box => (box ? [\n Math.trunc(Math.max(0, box.startPoint[0])),\n Math.trunc(Math.max(0, box.startPoint[1])),\n Math.trunc(Math.min((input.shape[2] || 0), box.endPoint[0]) - Math.max(0, box.startPoint[0])),\n Math.trunc(Math.min((input.shape[1] || 0), box.endPoint[1]) - Math.max(0, box.startPoint[1])),\n] : [0, 0, 0, 0]);\n\nexport const getRawBox = (box, input): Box => (box ? [\n box.startPoint[0] / (input.shape[2] || 0),\n box.startPoint[1] / (input.shape[1] || 0),\n (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0),\n (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0),\n] : [0, 0, 0, 0]);\n\nexport const scaleBoxCoordinates = (box, factor, anchor) => {\n const startPoint: Point = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint: Point = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n // const centerPoint = [(startPoint[0] + endPoint[0]) / 2, (startPoint[1] + endPoint[1]) / 2];\n const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]);\n /**\n face.mesh = box.landmarks.map((pt) => [\n ((box.startPoint[0] + box.endPoint[0]) / 2) + (pt[0] * input.shape[2] / blazeface.size()),\n ((box.startPoint[1] + box.endPoint[1]) / 2) + (pt[1] * input.shape[1] / blazeface.size()),\n ]);\n */\n\n return { startPoint, endPoint, landmarks, confidence: box.confidence };\n};\n\nexport const cutAndResize = (box, image, cropSize) => {\n const h = image.shape[1];\n const w = image.shape[2];\n const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w];\n const crop = tf.image.cropAndResize(image, [cutBox], [0], cropSize);\n const norm = tf.div(crop, constants.tf255);\n tf.dispose(crop);\n return norm;\n};\n\nexport const enlargeBox = (box, factor) => {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const halfSize: [number, number] = [factor * size[0] / 2, factor * size[1] / 2];\n return {\n startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]] as Point,\n endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]] as Point,\n landmarks: box.landmarks,\n confidence: box.confidence,\n size,\n };\n};\n\nexport const squarifyBox = (box) => {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const halfSize = Math.max(...size) / 2;\n return {\n startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)] as Point,\n endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)] as Point,\n landmarks: box.landmarks,\n confidence: box.confidence,\n size: [Math.round(size[0]), Math.round(size[1])] as [number, number],\n };\n};\n\nexport const calculateLandmarksBoundingBox = (landmarks) => {\n const x = landmarks.map((d) => d[0]);\n const y = landmarks.map((d) => d[1]);\n return {\n startPoint: [Math.min(...x), Math.min(...y)] as Point,\n endPoint: [Math.max(...x), Math.max(...y)] as Point,\n landmarks,\n };\n};\n\nexport const fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n\nexport const normalizeRadians = (angle: number) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n\nexport const computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]));\n\nexport const radToDegrees = (rad) => rad * 180 / Math.PI;\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport const dot = (v1: number[], v2: number[]) => {\n let product = 0;\n for (let i = 0; i < v1.length; i++) product += v1[i] * v2[i];\n return product;\n};\n\nexport const getColumnFrom2DArr = (arr, columnIndex) => {\n const column: number[] = [];\n for (let i = 0; i < arr.length; i++) column.push(arr[i][columnIndex]);\n return column;\n};\n\nexport const multiplyTransformMatrices = (mat1, mat2) => {\n const product: number[][] = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n return product;\n};\n\nexport const buildRotationMatrix = (rotation, center) => {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n};\n\nexport const invertTransformMatrix = (matrix) => {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)];\n return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]];\n};\n\nexport const rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])];\n\nexport const xyDistanceBetweenPoints = (a, b) => Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n\nexport function generateAnchors(inputSize: number) {\n const spec = inputSize === 192\n ? { strides: [4], anchors: [1] } // facemesh-detector\n : { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] }; // blazeface\n const anchors: [number, number][] = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) anchors.push([anchorX, anchorY]);\n }\n }\n }\n return anchors;\n}\n\nexport function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize) {\n const boxSize = getBoxSize(box);\n const coordsScaled = coordsRaw.map((coord) => ([ // scaled around zero-point\n (boxSize[0] / inputSize) * (coord[0] - (inputSize / 2)),\n (boxSize[1] / inputSize) * (coord[1] - (inputSize / 2)),\n (coord[2] || 0),\n ]));\n const largeAngle = angle && (angle !== 0) && (Math.abs(angle) > 0.2);\n const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix;\n const coordsRotated = largeAngle ? coordsScaled.map((coord) => ([...rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix;\n const boxCenter = getBoxCenter(box);\n const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])];\n return coordsRotated.map((coord) => ([\n Math.trunc(coord[0] + offsets[0]),\n Math.trunc(coord[1] + offsets[1]),\n Math.trunc(coord[2] || 0),\n ]));\n}\n\nexport function correctFaceRotation(rotate, box, input, inputSize) {\n const symmetryLine = (box.landmarks.length >= coords.meshLandmarks.count)\n ? coords.meshLandmarks.symmetryLine\n : coords.blazeFaceLandmarks.symmetryLine;\n let angle = 0; // default\n let rotationMatrix = fixedRotationMatrix; // default\n let face; // default\n\n if (rotate && env.kernels.includes('rotatewithoffset')) {\n angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]);\n const largeAngle = angle && (angle !== 0) && (Math.abs(angle) > 0.2);\n if (largeAngle) { // perform rotation only if angle is sufficiently high\n const center: Point = getBoxCenter(box);\n const centerRaw: Point = [center[0] / input.shape[2], center[1] / input.shape[1]];\n const rotated = tf.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]);\n rotationMatrix = buildRotationMatrix(-angle, center);\n face = cutAndResize(box, rotated, [inputSize, inputSize]);\n tf.dispose(rotated);\n } else {\n face = cutAndResize(box, input, [inputSize, inputSize]);\n }\n } else {\n face = cutAndResize(box, input, [inputSize, inputSize]);\n }\n return [angle, rotationMatrix, face];\n}\n\nexport const findFaceCenter = (mesh) => {\n const x = mesh.map((m) => m[0]);\n const y = mesh.map((m) => m[1]);\n // weighted center\n /*\n const sum = (arr: number[]) => arr.reduce((prev, curr) => prev + curr, 0);\n return [sum(x) / mesh.length, sum(y) / mesh.length];\n */\n // absolute center\n return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2];\n};\n\nexport const calculateFaceBox = (mesh, previousBox) => {\n const center = findFaceCenter(mesh);\n const boxSize = getBoxSize(previousBox);\n const calculatedBox = {\n startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2] as Point,\n endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] as Point,\n };\n return calculatedBox;\n};\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport * as util from './facemeshutil';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Config } from '../config';\nimport type { Tensor, GraphModel, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\nimport type { Point } from '../result';\n\nconst keypointsCount = 6;\nconst faceBoxScaleFactor = 1.4;\nlet model: GraphModel | null;\nlet anchors: Tensor | null = null;\nlet inputSize = 0;\nlet inputSizeT: Tensor | null = null;\n\nexport interface DetectBox { startPoint: Point, endPoint: Point, landmarks: Point[], confidence: number, size: [number, number] }\n\nexport const size = () => inputSize;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.detector?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model['executor'] && model.inputs[0].shape) ? model.inputs[0].shape[2] : 256;\n inputSizeT = tf.scalar(inputSize, 'int32') as Tensor;\n anchors = tf.tensor2d(util.generateAnchors(inputSize)) as Tensor;\n return model;\n}\n\nfunction decodeBoxes(boxOutputs: Tensor) {\n if (!anchors || !inputSizeT) return tf.zeros([0, 0]);\n const t: Record = {};\n t.boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n t.centers = tf.add(t.boxStarts, anchors);\n t.boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n t.boxSizesNormalized = tf.div(t.boxSizes, inputSizeT);\n t.centersNormalized = tf.div(t.centers, inputSizeT);\n t.halfBoxSize = tf.div(t.boxSizesNormalized, constants.tf2);\n t.starts = tf.sub(t.centersNormalized, t.halfBoxSize);\n t.ends = tf.add(t.centersNormalized, t.halfBoxSize);\n t.startNormalized = tf.mul(t.starts, inputSizeT);\n t.endNormalized = tf.mul(t.ends, inputSizeT);\n const boxes = tf.concat2d([t.startNormalized as Tensor2D, t.endNormalized as Tensor2D], 1);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n\nexport async function getBoxes(inputImage: Tensor4D, config: Config): Promise {\n // sanity check on input\n if ((!inputImage) || (inputImage['isDisposedInternal']) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return [];\n const t: Record = {};\n t.resized = tf.image.resizeBilinear(inputImage, [inputSize, inputSize]);\n t.div = tf.div(t.resized, constants.tf127);\n t.normalized = tf.sub(t.div, constants.tf05);\n const res = model?.execute(t.normalized) as Tensor[];\n if (Array.isArray(res) && res.length > 2) { // pinto converted model?\n const sorted = res.sort((a, b) => a.size - b.size);\n t.concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n t.concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n t.concat = tf.concat([t.concat512, t.concat384], 1);\n t.batch = tf.squeeze(t.concat, [0]);\n } else if (Array.isArray(res)) { // new facemesh-detection tfhub model\n t.batch = tf.squeeze(res[0]);\n } else { // original blazeface tfhub model\n t.batch = tf.squeeze(res);\n }\n tf.dispose(res);\n t.boxes = decodeBoxes(t.batch);\n t.logits = tf.slice(t.batch, [0, 0], [-1, 1]);\n t.sigmoid = tf.sigmoid(t.logits);\n t.scores = tf.squeeze(t.sigmoid);\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.scores as Tensor1D, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));\n const nms = await t.nms.array() as number[];\n const boxes: DetectBox[] = [];\n const scores = await t.scores.data();\n for (let i = 0; i < nms.length; i++) {\n const confidence = scores[nms[i]];\n\n if (confidence > (config.face.detector?.minConfidence || 0)) {\n const b: Record = {};\n b.bbox = tf.slice(t.boxes, [nms[i], 0], [1, -1]);\n b.slice = tf.slice(t.batch, [nms[i], keypointsCount - 1], [1, -1]);\n b.squeeze = tf.squeeze(b.slice);\n b.landmarks = tf.reshape(b.squeeze, [keypointsCount, -1]);\n const points = await b.bbox.data();\n const rawBox = {\n startPoint: [points[0], points[1]] as Point,\n endPoint: [points[2], points[3]] as Point,\n landmarks: (await b.landmarks.array()) as Point[],\n confidence,\n };\n b.anchor = tf.slice(anchors as Tensor, [nms[i], 0], [1, 2]);\n const anchor = await b.anchor.data();\n const scaledBox = util.scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize, (inputImage.shape[1] || 0) / inputSize], anchor);\n const enlargedBox = util.enlargeBox(scaledBox, config.face['scale'] || faceBoxScaleFactor);\n const squaredBox = util.squarifyBox(enlargedBox);\n if (squaredBox.size[0] > (config.face.detector?.['minSize'] || 0) && squaredBox.size[1] > (config.face.detector?.['minSize'] || 0)) boxes.push(squaredBox);\n Object.keys(b).forEach((tensor) => tf.dispose(b[tensor]));\n }\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return boxes;\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport * as coords from './facemeshcoords';\nimport * as util from './facemeshutil';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Config } from '../config';\nimport type { Point } from '../result';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\n\nconst irisEnlarge = 2.3;\n\nconst leftOutline = coords.meshAnnotations.leftEyeLower0;\nconst rightOutline = coords.meshAnnotations.rightEyeLower0;\n\nconst eyeLandmarks = {\n leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]],\n rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]],\n};\n\nconst irisLandmarks = {\n upperCenter: 3,\n lowerCenter: 4,\n index: 71,\n numCoordinates: 76,\n};\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.iris?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model?.['executor'] && model.inputs?.[0].shape) ? model.inputs[0].shape[2] : 0;\n if (inputSize === -1) inputSize = 64;\n return model;\n}\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates and update the z coordinate to be an average of the original and the new.\nexport function replaceIrisCoords(rawCoords, newCoords, prefix, keys) {\n for (let i = 0; i < coords.irisIndices.length; i++) {\n const { key, indices } = coords.irisIndices[i];\n const originalIndices = coords.meshAnnotations[`${prefix}${key}`];\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0],\n newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n\nexport const getLeftToRightEyeDepthDifference = (rawCoords) => {\n const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2];\n const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2];\n return leftEyeZ - rightEyeZ;\n};\n\n// Returns a box describing a cropped region around the eye fit for passing to the iris model.\nexport const getEyeBox = (rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => {\n const box = util.squarifyBox(util.enlargeBox(util.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge));\n const boxSize = util.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / meshSize,\n box.startPoint[0] / meshSize, box.endPoint[1] / meshSize,\n box.endPoint[0] / meshSize,\n ]], [0], [inputSize, inputSize]);\n if (flip && env.kernels.includes('flipleftright')) {\n const flipped = tf.image.flipLeftRight(crop); // flipLeftRight is not defined for tfjs-node\n tf.dispose(crop);\n crop = flipped;\n }\n return { box, boxSize, crop };\n};\n\n// Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\nexport const getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => {\n const eyeRawCoords: Point[] = [];\n for (let i = 0; i < irisLandmarks.numCoordinates; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / inputSize)) : (x / inputSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / inputSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) };\n};\n\n// The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\nexport const getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => {\n const upperCenterZ = rawCoords[coords.meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2];\n const lowerCenterZ = rawCoords[coords.meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n};\n\nexport async function augmentIris(rawCoords, face, meshSize) {\n if (!model?.['executor']) return rawCoords;\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true);\n const combined = tf.concat([leftEyeCrop, rightEyeCrop]);\n tf.dispose(leftEyeCrop);\n tf.dispose(rightEyeCrop);\n const eyePredictions = model.execute(combined) as Tensor;\n tf.dispose(combined);\n const eyePredictionsData = await eyePredictions.data();\n tf.dispose(eyePredictions);\n const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false);\n const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceIrisCoords(rawCoords, leftEyeRawCoords, 'left', null);\n replaceIrisCoords(rawCoords, rightEyeRawCoords, 'right', null);\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged so we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n replaceIrisCoords(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n replaceIrisCoords(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n return newCoords;\n}\n", "import * as constants from './constants';\nimport type { Tensor } from '../tfjs/types';\n\nexport async function augment(rawCoords, results: Tensor[]) {\n const t: Record = { // all attention models produce 2d results so it needs to be later augmented with correct z-coords\n // mesh: results[0], // already have it in rawCoords // output_mesh_identity\n // flag: results[1], // already processed in parent // conv_faceflag\n lips: await results.filter((r) => r.size === 160)?.[0]?.data() as Float32Array, // 80 x 2d = 160 // output_lips\n irisL: await results.filter((r) => r.size === 10)?.[0]?.data() as Float32Array, // 5 x 2d = 10 // output_right_iris\n eyeL: await results.filter((r) => r.size === 142)?.[0]?.data() as Float32Array, // 71 x 2d = 142 // output_right_eye\n irisR: await results.filter((r) => r.size === 10)?.[1]?.data() as Float32Array, // 5 x 2d = 10 // output_left_iris\n eyeR: await results.filter((r) => r.size === 142)?.[1]?.data() as Float32Array, // 71 x 2d = 142// output_left_eye\n };\n for (const val of Object.values(t)) {\n if (!val) return rawCoords; // could not find tensor\n }\n\n // augment iris: adds additional 5 keypoints per eye\n const irisLDepth = constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; // get average z-coord for iris\n for (let i = 0; i < t.irisL.length / 2; i++) rawCoords.push([t.irisL[2 * i + 0], t.irisL[2 * i + 1], irisLDepth]);\n const irisRDepth = constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; // get average z-coord for iris\n for (let i = 0; i < t.irisR.length / 2; i++) rawCoords.push([t.irisR[2 * i + 0], t.irisR[2 * i + 1], irisRDepth]);\n\n // augment eyes: replaces eye keypoints based on heuristic mapping\n for (let i = 0; i < t.eyeL.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t.eyeL[2 * i + 0], t.eyeL[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]];\n for (let i = 0; i < t.eyeR.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t.eyeR[2 * i + 0], t.eyeR[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]];\n\n // augment lips: replaces eye keypoints based on heuristic mapping\n for (let i = 0; i < t.lips.length / 2; i++) rawCoords[constants.LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t.lips[2 * i + 0], t.lips[2 * i + 1], rawCoords[constants.LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]];\n\n return rawCoords;\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n *\n * Based on:\n * - [**MediaPipe BlazeFace**](https://drive.google.com/file/d/1f39lSzU5Oq-j_OXgS67KfN5wNsoeAZ4V/view)\n * - Facial Spacial Geometry: [**MediaPipe FaceMesh**](https://drive.google.com/file/d/1VFC_wIpw4O7xBOiTgUldl79d9LA-LsnA/view)\n * - Eye Iris Details: [**MediaPipe Iris**](https://drive.google.com/file/d/1bsWbokp9AklH2ANjCfmjqEzzxO1CNbMu/view)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport * as blazeface from './blazeface';\nimport * as util from './facemeshutil';\nimport * as coords from './facemeshcoords';\nimport * as iris from './iris';\nimport * as attention from './attention';\nimport { histogramEqualization } from '../image/enhance';\nimport { env } from '../util/env';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { FaceResult, FaceLandmark, Point } from '../result';\nimport type { Config } from '../config';\nimport type { DetectBox } from './blazeface';\n\nconst cache = {\n boxes: [] as DetectBox[],\n skipped: Number.MAX_SAFE_INTEGER,\n timestamp: 0,\n};\n\nlet model: GraphModel | null = null;\nlet inputSize = 0;\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n // reset cached boxes\n const skipTime = (config.face.detector?.skipTime || 0) > (now() - cache.timestamp);\n const skipFrame = cache.skipped < (config.face.detector?.skipFrames || 0);\n if (!config.skipAllowed || !skipTime || !skipFrame || cache.boxes.length === 0) {\n cache.boxes = await blazeface.getBoxes(input, config); // get results from blazeface detector\n cache.timestamp = now();\n cache.skipped = 0;\n } else {\n cache.skipped++;\n }\n const faces: FaceResult[] = [];\n const newCache: DetectBox[] = [];\n let id = 0;\n const size = inputSize;\n for (let i = 0; i < cache.boxes.length; i++) {\n const box = cache.boxes[i];\n let angle = 0;\n let rotationMatrix;\n const face: FaceResult = { // init face result\n id: id++,\n mesh: [],\n meshRaw: [],\n box: [0, 0, 0, 0],\n boxRaw: [0, 0, 0, 0],\n score: 0,\n boxScore: 0,\n faceScore: 0,\n size: [0, 0],\n // contoursRaw: [],\n // contours: [],\n annotations: {} as Record,\n };\n\n // optional rotation correction based on detector data only if mesh is disabled otherwise perform it later when we have more accurate mesh data. if no rotation correction this function performs crop\n [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(config.face.detector?.rotation, box, input, config.face.mesh?.enabled ? inputSize : blazeface.size());\n if (config.filter.equalization) {\n const equilized = face.tensor ? await histogramEqualization(face.tensor) : undefined;\n tf.dispose(face.tensor);\n if (equilized) face.tensor = equilized;\n }\n face.boxScore = Math.round(100 * box.confidence) / 100;\n if (!config.face.mesh?.enabled || !model?.['executor']) { // mesh not enabled or not loaded, return resuts from detector only\n face.box = util.clampBox(box, input);\n face.boxRaw = util.getRawBox(box, input);\n face.score = face.boxScore;\n face.size = box.size;\n face.mesh = box.landmarks;\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.blazeFaceLandmarks)) face.annotations[key] = [face.mesh[coords.blazeFaceLandmarks[key] as number]]; // add annotations\n } else if (!model) { // mesh enabled, but not loaded\n if (config.debug) log('face mesh detection requested, but model is not loaded');\n } else { // mesh enabled\n if (config.face.attention?.enabled && !env.kernels.includes('atan2')) {\n config.face.attention.enabled = false;\n tf.dispose(face.tensor);\n return faces;\n }\n const results = model.execute(face.tensor as Tensor) as Tensor[];\n const confidenceT = results.find((t) => t.shape[t.shape.length - 1] === 1) as Tensor;\n const faceConfidence = await confidenceT.data();\n face.faceScore = Math.round(100 * faceConfidence[0]) / 100;\n if (face.faceScore < (config.face.detector?.minConfidence || 1)) { // low confidence in detected mesh\n box.confidence = face.faceScore; // reset confidence of cached box\n if (config.face.mesh['keepInvalid']) {\n face.box = util.clampBox(box, input);\n face.boxRaw = util.getRawBox(box, input);\n face.score = face.boxScore;\n face.mesh = box.landmarks;\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.blazeFaceLandmarks)) {\n face.annotations[key] = [face.mesh[coords.blazeFaceLandmarks[key] as number]]; // add annotations\n }\n }\n } else {\n const meshT = results.find((t) => t.shape[t.shape.length - 1] === 1404) as Tensor;\n const coordsReshaped = tf.reshape(meshT, [-1, 3]);\n let rawCoords = await coordsReshaped.array();\n tf.dispose(coordsReshaped);\n if (config.face.attention?.enabled) {\n rawCoords = await attention.augment(rawCoords, results); // augment iris results using attention model results\n } else if (config.face.iris?.enabled) {\n rawCoords = await iris.augmentIris(rawCoords, face.tensor, inputSize); // run iris model and augment results\n }\n face.mesh = util.transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize); // get processed mesh\n face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size]);\n for (const key of Object.keys(coords.meshAnnotations)) face.annotations[key] = coords.meshAnnotations[key].map((index) => face.mesh[index]); // add annotations\n face.score = face.faceScore;\n const calculatedBox = {\n ...util.calculateFaceBox(face.mesh, box),\n confidence: box.confidence,\n landmarks: box.landmarks,\n size: box.size,\n };\n face.box = util.clampBox(calculatedBox, input);\n face.boxRaw = util.getRawBox(calculatedBox, input);\n /*\n const contoursT = results.find((t) => t.shape[t.shape.length - 1] === 266) as Tensor;\n const contoursData = contoursT && await contoursT.data(); // 133 x 2d points\n face.contoursRaw = [];\n for (let j = 0; j < contoursData.length / 2; j++) face.contoursRaw.push([contoursData[2 * j + 0] / inputSize, contoursData[2 * j + 1] / inputSize]);\n face.contours = face.contoursRaw.map((c) => [Math.trunc((input.shape[2] || 1) * c[0]), Math.trunc((input.shape[1] || 1) * c[1])]);\n */\n newCache.push(calculatedBox);\n }\n tf.dispose(results);\n }\n if (face.score > (config.face.detector?.minConfidence || 1)) faces.push(face);\n else tf.dispose(face.tensor);\n }\n cache.boxes = newCache; // reset cache\n return faces;\n}\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (config.face.attention?.enabled && model?.['signature']) {\n if (Object.keys(model?.['signature']?.outputs || {}).length < 6) model = null;\n }\n if (!model) {\n if (config.face.attention?.enabled) model = await loadModel(config.face.attention.modelPath);\n else model = await loadModel(config.face.mesh?.modelPath);\n } else if (config.debug) {\n log('cached model:', model['modelUrl']);\n }\n inputSize = (model['executor'] && model?.inputs?.[0].shape) ? model?.inputs?.[0].shape[2] : 256;\n return model;\n}\n\nexport const triangulation = coords.TRI468;\nexport const uvmap = coords.UV468;\n", "/**\n * Emotion model implementation\n *\n * [**Oarriaga**](https://github.com/oarriaga/face_classification)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport type { Emotion } from '../result';\nimport { log, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\nimport { constants } from '../tfjs/constants';\n\nlet annotations: string[] = [];\nlet model: GraphModel | null;\nconst last: { score: number, emotion: Emotion }[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet rgb = false;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n model = await loadModel(config.face.emotion?.modelPath);\n rgb = model?.inputs?.[0].shape?.[3] === 3;\n if (!rgb) annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral']; // oarriaga and gear\n else annotations = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']; // affectnet\n } else if (config.debug) {\n log('cached model:', model['modelUrl']);\n }\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise<{ score: number, emotion: Emotion }[]> {\n if (!model) return [];\n const skipFrame = skipped < (config.face.emotion?.skipFrames || 0);\n const skipTime = (config.face.emotion?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx] && (last[idx].length > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const obj: { score: number, emotion: Emotion }[] = [];\n if (config.face.emotion?.enabled) {\n const t: Record = {};\n const inputSize = model?.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n if (config.face.emotion?.['crop'] > 0) { // optional crop\n const crop = config.face.emotion?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [inputSize, inputSize]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n }\n if (rgb) {\n t.mul = tf.mul(t.resize, 255);\n t.normalize = tf.sub(t.mul, [103.939, 116.779, 123.68]); // affectnet uses specific norm values\n t.emotion = model?.execute(t.normalize) as Tensor; // result is already in range 0..1, no need for additional activation\n } else {\n // [t.red, t.green, t.blue] = tf.split(t.resize, 3, 3);\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n // t.redNorm = tf.mul(t.red, rgb[0]);\n // t.greenNorm = tf.mul(t.green, rgb[1]);\n // t.blueNorm = tf.mul(t.blue, rgb[2]);\n // t.grayscale = tf.addN([t.redNorm, t.greenNorm, t.blueNorm]);\n t.channels = tf.mul(t.resize, constants.rgb);\n t.grayscale = tf.sum(t.channels, 3, true);\n t.grayscaleSub = tf.sub(t.grayscale, constants.tf05);\n t.grayscaleMul = tf.mul(t.grayscaleSub, constants.tf2);\n t.emotion = model?.execute(t.grayscaleMul) as Tensor; // result is already in range 0..1, no need for additional activation\n }\n lastTime = now();\n const data = await t.emotion.data();\n for (let i = 0; i < data.length; i++) {\n if (data[i] > (config.face.emotion.minConfidence || 0)) obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] as Emotion });\n }\n obj.sort((a, b) => b.score - a.score);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = obj;\n lastCount = count;\n resolve(obj);\n });\n}\n", "/**\n * FaceRes model implementation\n *\n * Returns Age, Gender, Descriptor\n * Implements Face similarity function\n *\n * Based on: [**HSE-FaceRes**](https://github.com/HSE-asavchenko/HSE_FaceRec_tf)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, GraphModel, Tensor4D, Tensor1D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport type { Gender, Race } from '../result';\n\nexport interface FaceRes { age: number, gender: Gender, genderScore: number, descriptor: number[], race?: { score: number, race: Race }[] }\n\nlet model: GraphModel | null;\nconst last: FaceRes[] = [];\n\nlet lastTime = 0;\nlet lastCount = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.description?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport function enhance(input, config: Config): Tensor {\n const tensor = (input.image || input.tensor || input) as Tensor4D; // input received from detector is already normalized to 0..1, input is also assumed to be straightened\n if (!model?.inputs[0].shape) return tensor; // model has no shape so no point continuing\n let crop: Tensor;\n if (config.face.description?.['crop'] > 0) { // optional crop\n const cropval = config.face.description?.['crop'];\n const box = [[cropval, cropval, 1 - cropval, 1 - cropval]];\n crop = tf.image.cropAndResize(tensor, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n crop = tf.image.resizeBilinear(tensor, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n const norm: Tensor = tf.mul(crop, constants.tf255);\n tf.dispose(crop);\n return norm;\n /*\n // do a tight crop of image and resize it to fit the model\n const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n const crop = (tensor.shape.length === 3)\n ? tf.image.cropAndResize(tf.expandDims(tensor, 0), box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]) // add batch dimension if missing\n : tf.image.cropAndResize(tensor, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n */\n /*\n // convert to black&white to avoid colorization impact\n const rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const [red, green, blue] = tf.split(crop, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n const merge = tf.stack([grayscale, grayscale, grayscale], 3).squeeze(4);\n */\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n const obj: FaceRes = {\n age: 0 as number,\n gender: 'unknown' as Gender,\n genderScore: 0 as number,\n descriptor: [] as number[],\n };\n if (!model?.['executor']) return obj;\n const skipFrame = skipped < (config.face.description?.skipFrames || 0);\n const skipTime = (config.face.description?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && (last?.[idx]?.age > 0) && (last?.[idx]?.genderScore > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (config.face.description?.enabled) {\n const enhanced = enhance(image, config);\n const resT = model?.execute(enhanced) as Tensor[];\n lastTime = now();\n tf.dispose(enhanced);\n const genderT = resT.find((t) => t.shape[1] === 1) as Tensor;\n const gender = await genderT.data();\n const confidence = Math.trunc(200 * Math.abs((gender[0] - 0.5))) / 100;\n if (confidence > (config.face.description.minConfidence || 0)) {\n obj.gender = gender[0] <= 0.5 ? 'female' : 'male';\n obj.genderScore = Math.min(0.99, confidence);\n }\n const argmax = tf.argMax(resT.find((t) => t.shape[1] === 100) as Tensor1D, 1);\n const ageIdx: number = (await argmax.data())[0];\n tf.dispose(argmax);\n const ageT = resT.find((t) => t.shape[1] === 100) as Tensor;\n const all = await ageT.data();\n obj.age = Math.round(all[ageIdx - 1] > all[ageIdx + 1] ? 10 * ageIdx - 100 * all[ageIdx - 1] : 10 * ageIdx + 100 * all[ageIdx + 1]) / 10;\n\n if (Number.isNaN(gender[0]) || Number.isNaN(all[0])) log('faceres error:', { model, result: resT });\n\n const desc = resT.find((t) => t.shape[1] === 1024);\n // const reshape = desc.reshape([128, 8]); // reshape large 1024-element descriptor to 128 x 8\n // const reduce = reshape.logSumExp(1); // reduce 2nd dimension by calculating logSumExp on it which leaves us with 128-element descriptor\n const descriptor = desc ? await desc.data() : [] as number[];\n obj.descriptor = Array.from(descriptor);\n resT.forEach((t) => tf.dispose(t));\n }\n last[idx] = obj;\n lastCount = count;\n resolve(obj);\n });\n}\n", "import type { Tensor } from '../tfjs/types';\nimport type { FaceResult } from '../result';\n// import * as tf from 'dist/tfjs.esm.js';\nimport { meshAnnotations } from './facemeshcoords';\n\nconst expandFact = 0.1;\nconst alpha = 0.5;\n\n// point inclusion in polygon based on https://wrf.ecse.rpi.edu/Research/Short_Notes/pnpoly.html\nfunction insidePoly(x: number, y: number, polygon: { x: number, y: number }[]): boolean {\n let inside = false;\n let j = polygon.length - 1;\n for (let i = 0; i < polygon.length; j = i++) {\n if (((polygon[i].y > y) !== (polygon[j].y > y)) && (x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x)) inside = !inside;\n }\n return inside;\n}\n\nexport async function mask(face: FaceResult): Promise {\n if (!face.tensor) return face.tensor;\n if (!face.mesh || face.mesh.length < 100) return face.tensor;\n const width = face.tensor.shape[2] || 0;\n const height = face.tensor.shape[1] || 0;\n const buffer = await face.tensor.buffer();\n let silhouette: { x: number, y: number }[] = [];\n for (const pt of meshAnnotations.silhouette) silhouette.push({ x: (face.mesh[pt][0] - face.box[0]) / face.box[2], y: (face.mesh[pt][1] - face.box[1]) / face.box[3] }); // add all silhouette points scaled to local box\n if (expandFact && expandFact > 0) silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); // expand silhouette\n for (let x = 0; x < width; x++) {\n for (let y = 0; y < height; y++) {\n const inside = insidePoly(x / width, y / width, silhouette);\n if (!inside) {\n buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0);\n buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1);\n buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2);\n }\n }\n }\n const output = buffer.toTensor();\n // tf.dispose(buffer);\n return output;\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: number[] = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastCount = 0;\nlet lastTime = 0;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.antispoof?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model?.['executor']) return 0;\n const skipTime = (config.face.antispoof?.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.face.antispoof?.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && cached[idx]) {\n skipped++;\n return cached[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape ? model.inputs[0].shape[2] : 0, model?.inputs[0].shape ? model.inputs[0].shape[1] : 0], false);\n const res = model?.execute(resize) as Tensor;\n const num = (await res.data())[0];\n cached[idx] = Math.round(100 * num) / 100;\n lastCount = count;\n lastTime = now();\n tf.dispose([resize, res]);\n resolve(cached[idx]);\n });\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: number[] = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastCount = 0;\nlet lastTime = 0;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.liveness?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model?.['executor']) return 0;\n const skipTime = (config.face.liveness?.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.face.liveness?.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && cached[idx]) {\n skipped++;\n return cached[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape ? model.inputs[0].shape[2] : 0, model?.inputs[0].shape ? model.inputs[0].shape[1] : 0], false);\n const res = model?.execute(resize) as Tensor;\n const num = (await res.data())[0];\n cached[idx] = Math.round(100 * num) / 100;\n lastCount = count;\n lastTime = now();\n tf.dispose([resize, res]);\n resolve(cached[idx]);\n });\n}\n", "/**\n * GEAR [gender/emotion/age/race] model implementation\n *\n * Based on: [**GEAR Predictor**](https://github.com/Udolf15/GEAR-Predictor)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Gender, Race } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nexport interface GearType { age: number, gender: Gender, genderScore: number, race: { score: number, race: Race }[] }\nlet model: GraphModel | null;\nconst last: GearType[] = [];\nconst raceNames = ['white', 'black', 'asian', 'indian', 'other'];\nconst ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face.gear?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise {\n if (!model) return { age: 0, gender: 'unknown', genderScore: 0, race: [] };\n const skipFrame = skipped < (config.face.gear?.skipFrames || 0);\n const skipTime = (config.face.gear?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs[0].shape) return;\n const t: Record = {};\n // t.resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape[2], model?.inputs[0].shape[1]], false);\n let box = [[0.0, 0.10, 0.90, 0.90]]; // empyrical values for top, left, bottom, right\n if (config.face.gear?.['crop'] > 0) { // optional crop config value\n const crop = config.face.gear?.['crop'];\n box = [[crop, crop, 1 - crop, 1 - crop]];\n }\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n const obj: GearType = { age: 0, gender: 'unknown', genderScore: 0, race: [] };\n if (config.face.gear?.enabled) [t.age, t.gender, t.race] = model.execute(t.resize, ['age_output', 'gender_output', 'race_output']) as Tensor[];\n const gender = await t.gender.data();\n obj.gender = gender[0] > gender[1] ? 'male' : 'female';\n obj.genderScore = Math.round(100 * (gender[0] > gender[1] ? gender[0] : gender[1])) / 100;\n const race = await t.race.data();\n for (let i = 0; i < race.length; i++) {\n if (race[i] > (config.face.gear?.minConfidence || 0.2)) obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] as Race });\n }\n obj.race.sort((a, b) => b.score - a.score);\n // {0: 'Below20', 1: '21-25', 2: '26-30', 3: '31-40',4: '41-50', 5: '51-60', 6: 'Above60'}\n const ageDistribution = Array.from(await t.age.data());\n const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]);\n let age = ageSorted[0][0]; // pick best starting point\n for (let i = 1; i < ageSorted.length; i++) age += ageSorted[i][1] * (ageSorted[i][0] - age); // adjust with each other choice by weight\n obj.age = Math.round(10 * age) / 10;\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * Age model implementation\n *\n * Based on: [**SSR-Net**](https://github.com/shamangary/SSR-Net)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { env } from '../util/env';\nimport { constants } from '../tfjs/constants';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\n\nlet model: GraphModel | null;\nconst last: { age: number }[] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['ssrnet'].modelPathAge);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx: number, count: number): Promise<{ age: number }> {\n if (!model) return { age: 0 };\n const skipFrame = skipped < (config.face['ssrnet']?.skipFrames || 0);\n const skipTime = (config.face['ssrnet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && last[idx]?.age && (last[idx]?.age > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs || !model.inputs[0] || !model.inputs[0].shape) return;\n const t: Record = {};\n if (config.face['ssrnet']?.['crop'] > 0) { // optional crop\n const crop = config.face['ssrnet']?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n t.enhance = tf.mul(t.resize, constants.tf255);\n const obj = { age: 0 };\n if (config.face['ssrnet']?.enabled) t.age = model.execute(t.enhance) as Tensor;\n if (t.age) {\n const data = await t.age.data();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * Gender model implementation\n *\n * Based on: [**SSR-Net**](https://github.com/shamangary/SSR-Net)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { Gender } from '../result';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: { gender: Gender, genderScore: number }[] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config: Config) {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['ssrnet']?.modelPathGender);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(image: Tensor4D, config: Config, idx, count): Promise<{ gender: Gender, genderScore: number }> {\n if (!model) return { gender: 'unknown', genderScore: 0 };\n const skipFrame = skipped < (config.face['ssrnet']?.skipFrames || 0);\n const skipTime = (config.face['ssrnet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipFrame && skipTime && (lastCount === count) && last[idx]?.gender && (last[idx]?.genderScore > 0)) {\n skipped++;\n return last[idx];\n }\n skipped = 0;\n return new Promise(async (resolve) => {\n if (!model?.inputs[0].shape) return;\n const t: Record = {};\n if (config.face['ssrnet']?.['crop'] > 0) { // optional crop\n const crop = config.face['ssrnet']?.['crop'];\n const box = [[crop, crop, 1 - crop, 1 - crop]];\n t.resize = tf.image.cropAndResize(image, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n } else {\n t.resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n }\n t.enhance = tf.tidy(() => {\n let normalize: Tensor;\n if (model?.inputs?.[0].shape?.[3] === 1) {\n const [red, green, blue] = tf.split(t.resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n normalize = tf.mul(tf.sub(grayscale, constants.tf05), 2); // range grayscale:-1..1\n } else {\n normalize = tf.mul(tf.sub(t.resize, constants.tf05), 2); // range rgb:-1..1\n }\n return normalize;\n });\n const obj: { gender: Gender, genderScore: number } = { gender: 'unknown', genderScore: 0 };\n if (config.face['ssrnet']?.enabled) t.gender = model.execute(t.enhance) as Tensor;\n const data = await t.gender.data();\n obj.gender = data[0] > data[1] ? 'female' : 'male'; // returns two values 0..1, bigger one is prediction\n obj.genderScore = data[0] > data[1] ? (Math.trunc(100 * data[0]) / 100) : (Math.trunc(100 * data[1]) / 100);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n last[idx] = obj;\n lastCount = count;\n lastTime = now();\n resolve(obj);\n });\n}\n", "/**\n * MobileFaceNet model implementation\n *\n * Based on: [**BecauseofAI MobileFace**](https://github.com/becauseofAI/MobileFace)\n *\n * Obsolete and replaced by `faceres` that performs age/gender/descriptor analysis\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Tensor, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: number[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['mobilefacenet']?.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\n/*\n// convert to black&white to avoid colorization impact\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\nconst [red, green, blue] = tf.split(crop, 3, 3);\nconst redNorm = tf.mul(red, rgb[0]);\nconst greenNorm = tf.mul(green, rgb[1]);\nconst blueNorm = tf.mul(blue, rgb[2]);\nconst grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\nconst merge = tf.stack([grayscale, grayscale, grayscale], 3).squeeze(4);\n\n// optional increase image contrast\n// or do it per-channel so mean is done on each channel\n// or do it based on histogram\nconst mean = merge.mean();\nconst factor = 5;\nconst contrast = merge.sub(mean).mul(factor).add(mean);\n*/\n\nexport async function predict(input: Tensor4D, config: Config, idx, count): Promise {\n if (!model?.['executor']) return [];\n const skipFrame = skipped < (config.face['mobilefacenet']?.skipFrames || 0);\n const skipTime = (config.face['mobilefacenet']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n return new Promise(async (resolve) => {\n let data: number[] = [];\n if (config.face['mobilefacenet']?.enabled && model?.inputs[0].shape) {\n const t: Record = {};\n t.crop = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false); // just resize to fit the embedding model\n // do a tight crop of image and resize it to fit the model\n // const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n // t.crop = tf.image.cropAndResize(input, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n t.data = model.execute(t.crop) as Tensor;\n /*\n // optional normalize outputs with l2 normalization\n const scaled = tf.tidy(() => {\n const l2 = res.norm('euclidean');\n const scale = res.div(l2);\n return scale;\n });\n\n // optional reduce feature vector complexity\n const reshape = tf.reshape(res, [128, 2]); // split 256 vectors into 128 x 2\n const reduce = reshape.logSumExp(1); // reduce 2nd dimension by calculating logSumExp on it\n */\n const output = await t.data.data();\n data = Array.from(output); // convert typed array to simple array\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = data;\n lastCount = count;\n lastTime = now();\n resolve(data);\n });\n}\n", "/**\n * InsightFace model implementation\n *\n * Based on: [**DeepInsight InsightFace**](https://github.com/deepinsight/insightface)\n *\n * Alternative face embedding detection\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { Tensor, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: number[][] = [];\nlet lastCount = 0;\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) model = await loadModel(config.face['insightface'].modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config, idx, count): Promise {\n if (!model?.['executor']) return [];\n const skipFrame = skipped < (config.face['insightface']?.skipFrames || 0);\n const skipTime = (config.face['insightface']?.skipTime || 0) > (now() - lastTime);\n if (config.skipAllowed && skipTime && skipFrame && (lastCount === count) && last[idx]) {\n skipped++;\n return last[idx];\n }\n return new Promise(async (resolve) => {\n let data: number[] = [];\n if (config.face['insightface']?.enabled && model?.inputs[0].shape) {\n const t: Record = {};\n t.crop = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false); // just resize to fit the embedding model\n // do a tight crop of image and resize it to fit the model\n // const box = [[0.05, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n // t.crop = tf.image.cropAndResize(input, box, [0], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n t.data = model.execute(t.crop) as Tensor;\n const output = await t.data.data();\n data = Array.from(output); // convert typed array to simple array\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n last[idx] = data;\n lastCount = count;\n lastTime = now();\n resolve(data);\n });\n}\n", "import type { Point, FaceResult } from '../result';\n\ntype Vector = [number, number, number];\n\nconst calculateGaze = (face: FaceResult): { bearing: number, strength: number } => {\n const radians = (pt1: Point, pt2: Point) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); // function to calculate angle between any two points\n if (!face.annotations.rightEyeIris || !face.annotations.leftEyeIris) return { bearing: 0, strength: 0 };\n\n const offsetIris = [0, -0.1]; // iris center may not align with average of eye extremes\n const eyeRatio = 1; // factor to normalize changes x vs y\n\n const left = (face.mesh[33][2] || 0) > (face.mesh[263][2] || 0); // pick left or right eye depending which one is closer bazed on outsize point z axis\n const irisCenter = left ? face.mesh[473] : face.mesh[468];\n const eyeCenter = left // eye center is average of extreme points on x axis for both x and y, ignoring y extreme points as eyelids naturally open/close more when gazing up/down so relative point is less precise\n ? [(face.mesh[133][0] + face.mesh[33][0]) / 2, (face.mesh[133][1] + face.mesh[33][1]) / 2]\n : [(face.mesh[263][0] + face.mesh[362][0]) / 2, (face.mesh[263][1] + face.mesh[362][1]) / 2];\n const eyeSize = left // eye size is difference between extreme points for both x and y, used to normalize & squarify eye dimensions\n ? [face.mesh[133][0] - face.mesh[33][0], face.mesh[23][1] - face.mesh[27][1]]\n : [face.mesh[263][0] - face.mesh[362][0], face.mesh[253][1] - face.mesh[257][1]];\n const eyeDiff: Point = [ // x distance between extreme point and center point normalized with eye size\n (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0],\n eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1],\n ];\n let strength = Math.sqrt((eyeDiff[0] * eyeDiff[0]) + (eyeDiff[1] * eyeDiff[1])); // vector length is a diagonal between two differences\n strength = Math.min(strength, face.boxRaw[2] / 2, face.boxRaw[3] / 2); // limit strength to half of box size to avoid clipping due to low precision\n const bearing = (radians([0, 0], eyeDiff) + (Math.PI / 2)) % Math.PI; // using eyeDiff instead eyeCenter/irisCenter combo due to manual adjustments and rotate clockwise 90degrees\n return { bearing, strength };\n};\n\nexport const calculateFaceAngle = (face: FaceResult, imageSize: [number, number]): {\n angle: { pitch: number, yaw: number, roll: number },\n matrix: [number, number, number, number, number, number, number, number, number],\n gaze: { bearing: number, strength: number },\n} => {\n // const degrees = (theta) => Math.abs(((theta * 180) / Math.PI) % 360);\n const normalize = (v: Vector): Vector => { // normalize vector\n const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]);\n v[0] /= length;\n v[1] /= length;\n v[2] /= length;\n return v;\n };\n const subVectors = (a: Vector, b: Vector): Vector => { // vector subtraction (a - b)\n const x = a[0] - b[0];\n const y = a[1] - b[1];\n const z = a[2] - b[2];\n return [x, y, z];\n };\n const crossVectors = (a: Vector, b: Vector): Vector => { // vector cross product (a x b)\n const x = a[1] * b[2] - a[2] * b[1];\n const y = a[2] * b[0] - a[0] * b[2];\n const z = a[0] * b[1] - a[1] * b[0];\n return [x, y, z];\n };\n // 3x3 rotation matrix to Euler angles based on https://www.geometrictools.com/Documentation/EulerAngles.pdf\n const rotationMatrixToEulerAngle = (r: number[]): { pitch: number, yaw: number, roll: number } => {\n const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; // eslint-disable-line @typescript-eslint/no-unused-vars\n let thetaX: number;\n let thetaY: number;\n let thetaZ: number;\n if (r10 < 1) { // YZX calculation\n if (r10 > -1) {\n thetaZ = Math.asin(r10);\n thetaY = Math.atan2(-r20, r00);\n thetaX = Math.atan2(-r12, r11);\n } else {\n thetaZ = -Math.PI / 2;\n thetaY = -Math.atan2(r21, r22);\n thetaX = 0;\n }\n } else {\n thetaZ = Math.PI / 2;\n thetaY = Math.atan2(r21, r22);\n thetaX = 0;\n }\n if (Number.isNaN(thetaX)) thetaX = 0;\n if (Number.isNaN(thetaY)) thetaY = 0;\n if (Number.isNaN(thetaZ)) thetaZ = 0;\n return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };\n };\n\n /*\n const meshToEulerAngle = (mesh) => { // simple Euler angle calculation based existing 3D mesh\n const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);\n return { // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees, value of 0 means center\n pitch: radians(mesh[10][1], mesh[10][2], mesh[152][1], mesh[152][2]), // looking at y,z of top and bottom points of the face // pitch is face move up/down\n yaw: radians(mesh[33][0], mesh[33][2], mesh[263][0], mesh[263][2]), // looking at x,z of outside corners of leftEye and rightEye // yaw is face turn left/right\n roll: radians(mesh[33][0], mesh[33][1], mesh[263][0], mesh[263][1]), // looking at x,y of outside corners of leftEye and rightEye // roll is face lean left/right\n };\n };\n */\n\n // initialize gaze and mesh\n const mesh = face.meshRaw;\n if (!mesh || mesh.length < 300) return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } };\n\n const size = Math.max(face.boxRaw[2] * imageSize[0], face.boxRaw[3] * imageSize[1]) / 1.5;\n // top, bottom, left, right\n const pts: Point[] = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size, pt[1] * imageSize[1] / size, pt[2]] as Point); // make the xyz coordinates proportional, independent of the image/box size\n\n const yAxis = normalize(subVectors(pts[1] as Vector, pts[0] as Vector));\n let xAxis = normalize(subVectors(pts[3] as Vector, pts[2] as Vector));\n const zAxis = normalize(crossVectors(xAxis, yAxis));\n // adjust xAxis to make sure that all axes are perpendicular to each other\n xAxis = crossVectors(yAxis, zAxis);\n\n // Rotation Matrix from Axis Vectors - http://renderdan.blogspot.com/2006/05/rotation-matrix-from-axis-vectors.html\n // 3x3 rotation matrix is flatten to array in row-major order. Note that the rotation represented by this matrix is inverted.\n const matrix: [number, number, number, number, number, number, number, number, number] = [\n xAxis[0], xAxis[1], xAxis[2],\n yAxis[0], yAxis[1], yAxis[2],\n zAxis[0], zAxis[1], zAxis[2],\n ];\n const angle = rotationMatrixToEulerAngle(matrix);\n // const angle = meshToEulerAngle(mesh);\n\n // we have iris keypoints so we can calculate gaze direction\n const gaze = mesh.length === 478 ? calculateGaze(face) : { bearing: 0, strength: 0 };\n\n return { angle, matrix, gaze };\n};\n", "import type { FaceResult } from '../result';\n\nexport function calculateCameraDistance(face: FaceResult, width: number): number {\n // iris points are [center, left, top, right, bottom]\n // average size of human iris is 11.7mm - fairly constant for all ages/genders/races\n const f = face?.annotations;\n if (!f?.leftEyeIris || !f?.rightEyeIris) return 0;\n // get size of left and right iris in pixels, pick larger one as its likely to be more accurate and normalize to 0..1 range instead of pixels\n const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width;\n // distance of eye from camera in meters\n const cameraDistance = Math.round(1.17 / irisSize) / 100;\n return cameraDistance;\n}\n\nexport function calculateEyesDistance(face: FaceResult, width: number): number {\n // average distance between eyes is 65mm - fairly constant for typical adult male, but varies otherwise\n const f = face?.annotations;\n if (!f?.leftEyeIris || !f?.rightEyeIris) return 0;\n // get size of left and right iris in pixels, pick larger one as its likely to be more accurate and normalize to 0..1 range instead of pixels\n const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width;\n // pixel x and y distance of centers of left and right iris, you can use edges instead\n const irisDistanceXY = [f.leftEyeIris[0][0] - f.rightEyeIris[0][0], f.leftEyeIris[0][1] - f.rightEyeIris[0][1]];\n // absolute distance bewtween eyes in 0..1 range to account for head pitch (we can ignore yaw)\n const irisDistance = Math.sqrt((irisDistanceXY[0] * irisDistanceXY[0]) + (irisDistanceXY[1] * irisDistanceXY[1])) / width;\n // distance between eyes in meters\n const eyesDistance = Math.round(1.17 * irisDistance / irisSize) / 100;\n return eyesDistance;\n}\n", "/**\n * Face algorithm implementation\n * Uses FaceMesh, Emotion and FaceRes models to create a unified pipeline\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as facemesh from './facemesh';\nimport * as emotion from '../gear/emotion';\nimport * as faceres from './faceres';\nimport * as mask from './mask';\nimport * as antispoof from './antispoof';\nimport * as liveness from './liveness';\nimport * as gear from '../gear/gear';\nimport * as ssrnetAge from '../gear/ssrnet-age';\nimport * as ssrnetGender from '../gear/ssrnet-gender';\nimport * as mobilefacenet from './mobilefacenet';\nimport * as insightface from './insightface';\nimport type { FaceResult, Emotion, Gender, Race } from '../result';\nimport type { Tensor4D } from '../tfjs/types';\nimport type { Human } from '../human';\nimport { calculateFaceAngle } from './angles';\nimport { calculateCameraDistance } from './anthropometry';\n\ninterface DescRes { age: number, gender: Gender, genderScore: number, descriptor: number[], race?: { score: number, race: Race }[] }\n\nexport const detectFace = async (instance: Human /* instance of human */, input: Tensor4D): Promise => {\n // run facemesh, includes blazeface and iris\n let timeStamp: number = now();\n let ageRes: { age: number } | Promise<{ age: number }> | null;\n let gearRes: gear.GearType | Promise | null;\n let genderRes: { gender: string, genderScore: number } | Promise<{ gender: string, genderScore: number }> | null;\n let emotionRes: { score: number, emotion: Emotion }[] | Promise<{ score: number, emotion: Emotion }[]>;\n let mobilefacenetRes: number[] | Promise | null;\n let insightfaceRes: number[] | Promise | null;\n let antispoofRes: number | Promise | null;\n let livenessRes: number | Promise | null;\n let descRes: DescRes | Promise | null;\n\n const faceRes: FaceResult[] = [];\n instance.state = 'run:face';\n const faces: FaceResult[] = await facemesh.predict(input, instance.config);\n instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n if (!input.shape || input.shape.length !== 4) return [];\n if (!faces) return [];\n // for (const face of faces) {\n for (let i = 0; i < faces.length; i++) {\n instance.analyze('Get Face');\n\n // is something went wrong, skip the face\n // @ts-ignore possibly undefied\n if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) {\n log('Face object is disposed:', faces[i].tensor);\n continue;\n }\n\n // optional face mask\n if (instance.config.face.detector?.mask) {\n const masked = await mask.mask(faces[i]);\n tf.dispose(faces[i].tensor);\n if (masked) faces[i].tensor = masked;\n }\n\n // calculate face angles\n const rotation = faces[i].mesh && (faces[i].mesh.length > 200) ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null;\n\n // run emotion, inherits face from blazeface\n instance.analyze('Start Emotion:');\n if (instance.config.async) {\n emotionRes = instance.config.face.emotion?.enabled ? emotion.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : [];\n } else {\n instance.state = 'run:emotion';\n timeStamp = now();\n emotionRes = instance.config.face.emotion?.enabled ? await emotion.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : [];\n instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Emotion:');\n\n // run antispoof, inherits face from blazeface\n instance.analyze('Start AntiSpoof:');\n if (instance.config.async) {\n antispoofRes = instance.config.face.antispoof?.enabled ? antispoof.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n } else {\n instance.state = 'run:antispoof';\n timeStamp = now();\n antispoofRes = instance.config.face.antispoof?.enabled ? await antispoof.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End AntiSpoof:');\n\n // run liveness, inherits face from blazeface\n instance.analyze('Start Liveness:');\n if (instance.config.async) {\n livenessRes = instance.config.face.liveness?.enabled ? liveness.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n } else {\n instance.state = 'run:liveness';\n timeStamp = now();\n livenessRes = instance.config.face.liveness?.enabled ? await liveness.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : 0;\n instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Liveness:');\n\n // run gear, inherits face from blazeface\n instance.analyze('Start GEAR:');\n if (instance.config.async) {\n gearRes = instance.config.face.gear?.enabled ? gear.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:gear';\n timeStamp = now();\n gearRes = instance.config.face.gear?.enabled ? await gear.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.gear = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End GEAR:');\n\n // run gear, inherits face from blazeface\n instance.analyze('Start SSRNet:');\n if (instance.config.async) {\n ageRes = instance.config.face['ssrnet']?.enabled ? ssrnetAge.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n genderRes = instance.config.face['ssrnet']?.enabled ? ssrnetGender.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:ssrnet';\n timeStamp = now();\n ageRes = instance.config.face['ssrnet']?.enabled ? await ssrnetAge.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n genderRes = instance.config.face['ssrnet']?.enabled ? await ssrnetGender.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.ssrnet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End SSRNet:');\n\n // run mobilefacenet alternative, inherits face from blazeface\n instance.analyze('Start MobileFaceNet:');\n if (instance.config.async) {\n mobilefacenetRes = instance.config.face['mobilefacenet']?.enabled ? mobilefacenet.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:mobilefacenet';\n timeStamp = now();\n mobilefacenetRes = instance.config.face['mobilefacenet']?.enabled ? await mobilefacenet.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.mobilefacenet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End MobileFaceNet:');\n\n // run insightface alternative, inherits face from blazeface\n instance.analyze('Start InsightFace:');\n if (instance.config.async) {\n insightfaceRes = instance.config.face['insightface']?.enabled ? insightface.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n } else {\n instance.state = 'run:mobilefacenet';\n timeStamp = now();\n insightfaceRes = instance.config.face['insightface']?.enabled ? await insightface.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length) : null;\n instance.performance.mobilefacenet = Math.trunc(now() - timeStamp);\n }\n instance.analyze('End InsightFace:');\n\n // run faceres, inherits face from blazeface\n instance.analyze('Start Description:');\n if (instance.config.async) {\n descRes = faceres.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length);\n } else {\n instance.state = 'run:description';\n timeStamp = now();\n descRes = await faceres.predict(faces[i].tensor as Tensor4D || tf.tensor([]), instance.config, i, faces.length);\n instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n instance.analyze('End Description:');\n\n // if async wait for results\n if (instance.config.async) {\n [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]);\n }\n instance.analyze('Finish Face:');\n\n if (instance.config.face['ssrnet']?.enabled && ageRes && genderRes) { // override age/gender if ssrnet model is used\n descRes = {\n ...(descRes as DescRes),\n age: (ageRes as { age: number}).age,\n gender: (genderRes as { gender: Gender, genderScore: number }).gender,\n genderScore: (genderRes as { gender: Gender, genderScore: number }).genderScore,\n };\n }\n if (instance.config.face.gear?.enabled && gearRes) { // override age/gender/race if gear model is used\n descRes = {\n ...(descRes as DescRes),\n age: (gearRes as gear.GearType).age,\n gender: (gearRes as gear.GearType).gender,\n genderScore: (gearRes as gear.GearType).genderScore,\n race: (gearRes as gear.GearType).race,\n };\n }\n if (instance.config.face['mobilefacenet']?.enabled && mobilefacenetRes) { // override descriptor if mobilefacenet model is used\n (descRes as DescRes).descriptor = mobilefacenetRes as number[];\n }\n\n if (instance.config.face['insightface']?.enabled && insightfaceRes) { // override descriptor if insightface model is used\n (descRes as DescRes).descriptor = insightfaceRes as number[];\n }\n\n const irisSize = instance.config.face.iris?.enabled ? calculateCameraDistance(faces[i], input.shape[2]) : 0;\n\n // optionally return tensor\n const tensor = instance.config.face.detector?.return ? tf.squeeze(faces[i].tensor as Tensor4D) : null;\n // dispose original face tensor\n tf.dispose(faces[i].tensor);\n // delete temp face image\n if (faces[i].tensor) delete faces[i].tensor;\n // combine results\n const res: FaceResult = {\n ...faces[i],\n id: i,\n };\n if ((descRes as DescRes).age) res.age = (descRes as DescRes).age;\n if ((descRes as DescRes).gender) res.gender = (descRes as DescRes).gender;\n if ((descRes as DescRes).genderScore) res.genderScore = (descRes as DescRes).genderScore;\n if ((descRes as DescRes).descriptor) res.embedding = (descRes as DescRes).descriptor;\n if ((descRes as DescRes).race) res.race = (descRes as DescRes).race as { score: number, race: Race }[];\n if (emotionRes) res.emotion = emotionRes as { score: number, emotion: Emotion }[];\n if (antispoofRes) res.real = antispoofRes as number;\n if (livenessRes) res.live = livenessRes as number;\n if (irisSize > 0) res.distance = irisSize;\n if (rotation) res.rotation = rotation;\n if (tensor) res.tensor = tensor;\n faceRes.push(res);\n instance.analyze('End Face');\n }\n instance.analyze('End FaceMesh:');\n if (instance.config.async) {\n if (instance.performance.face) delete instance.performance.face;\n if (instance.performance.age) delete instance.performance.age;\n if (instance.performance.gender) delete instance.performance.gender;\n if (instance.performance.emotion) delete instance.performance.emotion;\n }\n return faceRes;\n};\n", "/**\n * FingerPose algorithm implementation\n * See `fingerpose.ts` for entry point\n */\n\nexport const Finger = {\n thumb: 0,\n index: 1,\n middle: 2,\n ring: 3,\n pinky: 4,\n all: [0, 1, 2, 3, 4], // just for convenience\n nameMapping: { 0: 'thumb', 1: 'index', 2: 'middle', 3: 'ring', 4: 'pinky' },\n // Describes mapping of joints based on the 21 points returned by handpose.\n // [0] Palm\n // [1-4] Thumb\n // [5-8] Index\n // [9-12] Middle\n // [13-16] Ring\n // [17-20] Pinky\n pointsMapping: {\n 0: [[0, 1], [1, 2], [2, 3], [3, 4]],\n 1: [[0, 5], [5, 6], [6, 7], [7, 8]],\n 2: [[0, 9], [9, 10], [10, 11], [11, 12]],\n 3: [[0, 13], [13, 14], [14, 15], [15, 16]],\n 4: [[0, 17], [17, 18], [18, 19], [19, 20]],\n },\n getName: (value) => Finger.nameMapping[value],\n getPoints: (value) => Finger.pointsMapping[value],\n};\n\nexport const FingerCurl = {\n none: 0,\n half: 1,\n full: 2,\n nameMapping: { 0: 'none', 1: 'half', 2: 'full' },\n getName: (value) => FingerCurl.nameMapping[value],\n};\n\nexport const FingerDirection = {\n verticalUp: 0,\n verticalDown: 1,\n horizontalLeft: 2,\n horizontalRight: 3,\n diagonalUpRight: 4,\n diagonalUpLeft: 5,\n diagonalDownRight: 6,\n diagonalDownLeft: 7,\n nameMapping: { 0: 'verticalUp', 1: 'verticalDown', 2: 'horizontalLeft', 3: 'horizontalRight', 4: 'diagonalUpRight', 5: 'diagonalUpLeft', 6: 'diagonalDownRight', 7: 'diagonalDownLeft' },\n getName: (value) => FingerDirection.nameMapping[value],\n};\n\nexport class FingerGesture {\n name;\n curls;\n directions;\n weights;\n weightsRelative;\n\n constructor(name) {\n // name (should be unique)\n this.name = name;\n this.curls = {};\n this.directions = {};\n this.weights = [1.0, 1.0, 1.0, 1.0, 1.0];\n this.weightsRelative = [1.0, 1.0, 1.0, 1.0, 1.0];\n }\n\n curl(finger, curl, confidence) {\n if (typeof this.curls[finger] === 'undefined') this.curls[finger] = [];\n this.curls[finger].push([curl, confidence]);\n }\n\n direction(finger, position, confidence) {\n if (!this.directions[finger]) this.directions[finger] = [];\n this.directions[finger].push([position, confidence]);\n }\n\n weight(finger, weight) {\n this.weights[finger] = weight;\n // recalculate relative weights\n const total = this.weights.reduce((a, b) => a + b, 0);\n this.weightsRelative = this.weights.map((el) => el * 5 / total);\n }\n\n matchAgainst(detectedCurls, detectedDirections) {\n let confidence = 0.0;\n // look at the detected curl of each finger and compare with\n // the expected curl of this finger inside current gesture\n for (const fingerIdx in detectedCurls) {\n const detectedCurl = detectedCurls[fingerIdx];\n const expectedCurls = this.curls[fingerIdx];\n if (typeof expectedCurls === 'undefined') {\n // no curl description available for this finger\n // add default confidence of \"1\"\n confidence += this.weightsRelative[fingerIdx];\n continue;\n }\n // compare to each possible curl of this specific finger\n for (const [expectedCurl, score] of expectedCurls) {\n if (detectedCurl === expectedCurl) {\n confidence += score * this.weightsRelative[fingerIdx];\n break;\n }\n }\n }\n // same for detected direction of each finger\n for (const fingerIdx in detectedDirections) {\n const detectedDirection = detectedDirections[fingerIdx];\n const expectedDirections = this.directions[fingerIdx];\n if (typeof expectedDirections === 'undefined') {\n // no direction description available for this finger\n // add default confidence of \"1\"\n confidence += this.weightsRelative[fingerIdx];\n continue;\n }\n // compare to each possible direction of this specific finger\n for (const [expectedDirection, score] of expectedDirections) {\n if (detectedDirection === expectedDirection) {\n confidence += score * this.weightsRelative[fingerIdx];\n break;\n }\n }\n }\n return confidence / 10;\n }\n}\n", "/**\n * FingerPose algorithm implementation\n * See `fingerpose.ts` for entry point\n */\n\nimport { Finger, FingerCurl, FingerDirection, FingerGesture } from './fingerdef';\n\nexport const { thumb, index, middle, ring, pinky } = Finger;\nexport const { none, half, full } = FingerCurl;\nexport const { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection;\n\n// describe thumbs up gesture \uD83D\uDC4D\nconst ThumbsUp = new FingerGesture('thumbs up');\nThumbsUp.curl(thumb, none, 1.0);\nThumbsUp.direction(thumb, verticalUp, 1.0);\nThumbsUp.direction(thumb, diagonalUpLeft, 0.25);\nThumbsUp.direction(thumb, diagonalUpRight, 0.25);\nfor (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) {\n ThumbsUp.curl(finger, full, 1.0);\n ThumbsUp.direction(finger, horizontalLeft, 1.0);\n ThumbsUp.direction(finger, horizontalRight, 1.0);\n}\n\n// describe Victory gesture \u270C\uFE0F\nconst Victory = new FingerGesture('victory');\nVictory.curl(thumb, half, 0.5);\nVictory.curl(thumb, none, 0.5);\nVictory.direction(thumb, verticalUp, 1.0);\nVictory.direction(thumb, diagonalUpLeft, 1.0);\nVictory.curl(index, none, 1.0);\nVictory.direction(index, verticalUp, 0.75);\nVictory.direction(index, diagonalUpLeft, 1.0);\nVictory.curl(middle, none, 1.0);\nVictory.direction(middle, verticalUp, 1.0);\nVictory.direction(middle, diagonalUpLeft, 0.75);\nVictory.curl(ring, full, 1.0);\nVictory.direction(ring, verticalUp, 0.2);\nVictory.direction(ring, diagonalUpLeft, 1.0);\nVictory.direction(ring, horizontalLeft, 0.2);\nVictory.curl(pinky, full, 1.0);\nVictory.direction(pinky, verticalUp, 0.2);\nVictory.direction(pinky, diagonalUpLeft, 1.0);\nVictory.direction(pinky, horizontalLeft, 0.2);\nVictory.weight(index, 2);\nVictory.weight(middle, 2);\n\n// describe Point gesture \u270C\uFE0F\nconst Point = new FingerGesture('point');\nPoint.curl(thumb, full, 1.0);\nPoint.curl(index, none, 0.5);\nPoint.curl(middle, full, 0.5);\nPoint.curl(ring, full, 0.5);\nPoint.curl(pinky, full, 0.5);\nPoint.weight(index, 2);\nPoint.weight(middle, 2);\n\n// describe Point gesture \u270C\uFE0F\nconst MiddleFinger = new FingerGesture('middle finger');\nMiddleFinger.curl(thumb, none, 1.0);\nMiddleFinger.curl(index, full, 0.5);\nMiddleFinger.curl(middle, full, 0.5);\nMiddleFinger.curl(ring, full, 0.5);\nMiddleFinger.curl(pinky, full, 0.5);\nMiddleFinger.weight(index, 2);\nMiddleFinger.weight(middle, 2);\n\n// describe Open Palm gesture \u270C\uFE0F\nconst OpenPalm = new FingerGesture('open palm');\nOpenPalm.curl(thumb, none, 0.75);\nOpenPalm.curl(index, none, 0.75);\nOpenPalm.curl(middle, none, 0.75);\nOpenPalm.curl(ring, none, 0.75);\nOpenPalm.curl(pinky, none, 0.75);\n\nexport default [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm];\n", "/**\n * FingerPose algorithm implementation constants\n *\n * Based on: [**FingerPose***](https://github.com/andypotato/fingerpose)\n */\n\n/* eslint-disable camelcase */\n\nimport { Finger, FingerCurl, FingerDirection } from './fingerdef';\nimport Gestures from '../hand/fingergesture';\n\nconst minConfidence = 0.7;\nconst options = {\n // curl estimation\n HALF_CURL_START_LIMIT: 60.0,\n NO_CURL_START_LIMIT: 130.0,\n // direction estimation\n DISTANCE_VOTE_POWER: 1.1,\n SINGLE_ANGLE_VOTE_POWER: 0.9,\n TOTAL_ANGLE_VOTE_POWER: 1.6,\n};\n\nfunction calculateSlope(point1x, point1y, point2x, point2y) {\n const value = (point1y - point2y) / (point1x - point2x);\n let slope = Math.atan(value) * 180 / Math.PI;\n if (slope <= 0) slope = -slope;\n else if (slope > 0) slope = 180 - slope;\n return slope;\n}\n\n// point1, point2 are 2d or 3d point arrays (xy[z])\n// returns either a single scalar (2d) or array of two slopes (3d)\nfunction getSlopes(point1, point2) {\n if (!point1 || !point2) return [0, 0];\n const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]);\n if (point1.length === 2) return slopeXY;\n const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]);\n return [slopeXY, slopeYZ];\n}\n\nfunction angleOrientationAt(angle, weightageAt = 1.0) {\n let isVertical = 0;\n let isDiagonal = 0;\n let isHorizontal = 0;\n if (angle >= 75.0 && angle <= 105.0) isVertical = 1 * weightageAt;\n else if (angle >= 25.0 && angle <= 155.0) isDiagonal = 1 * weightageAt;\n else isHorizontal = 1 * weightageAt;\n return [isVertical, isDiagonal, isHorizontal];\n}\n\nfunction estimateFingerCurl(startPoint, midPoint, endPoint) {\n const start_mid_x_dist = startPoint[0] - midPoint[0];\n const start_end_x_dist = startPoint[0] - endPoint[0];\n const mid_end_x_dist = midPoint[0] - endPoint[0];\n const start_mid_y_dist = startPoint[1] - midPoint[1];\n const start_end_y_dist = startPoint[1] - endPoint[1];\n const mid_end_y_dist = midPoint[1] - endPoint[1];\n const start_mid_z_dist = startPoint[2] - midPoint[2];\n const start_end_z_dist = startPoint[2] - endPoint[2];\n const mid_end_z_dist = midPoint[2] - endPoint[2];\n const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist);\n const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist);\n const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist);\n let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist);\n if (cos_in > 1.0) cos_in = 1.0;\n else if (cos_in < -1.0) cos_in = -1.0;\n let angleOfCurve = Math.acos(cos_in);\n angleOfCurve = (57.2958 * angleOfCurve) % 180;\n let fingerCurl;\n if (angleOfCurve > options.NO_CURL_START_LIMIT) fingerCurl = FingerCurl.none;\n else if (angleOfCurve > options.HALF_CURL_START_LIMIT) fingerCurl = FingerCurl.half;\n else fingerCurl = FingerCurl.full;\n return fingerCurl;\n}\n\nfunction estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) {\n let estimatedDirection;\n if (max_dist_x === Math.abs(start_end_x_dist)) {\n if (start_end_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n } else if (max_dist_x === Math.abs(start_mid_x_dist)) {\n if (start_mid_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n } else {\n if (mid_end_x_dist > 0) estimatedDirection = FingerDirection.horizontalLeft;\n else estimatedDirection = FingerDirection.horizontalRight;\n }\n return estimatedDirection;\n}\n\nfunction estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) {\n let estimatedDirection;\n if (max_dist_y === Math.abs(start_end_y_dist)) {\n if (start_end_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n } else if (max_dist_y === Math.abs(start_mid_y_dist)) {\n if (start_mid_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n } else {\n if (mid_end_y_dist < 0) estimatedDirection = FingerDirection.verticalDown;\n else estimatedDirection = FingerDirection.verticalUp;\n }\n return estimatedDirection;\n}\n\nfunction estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) {\n let estimatedDirection;\n const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y);\n const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n if (reqd_vertical_direction === FingerDirection.verticalUp) {\n if (reqd_horizontal_direction === FingerDirection.horizontalLeft) estimatedDirection = FingerDirection.diagonalUpLeft;\n else estimatedDirection = FingerDirection.diagonalUpRight;\n } else {\n if (reqd_horizontal_direction === FingerDirection.horizontalLeft) estimatedDirection = FingerDirection.diagonalDownLeft;\n else estimatedDirection = FingerDirection.diagonalDownRight;\n }\n return estimatedDirection;\n}\n\nfunction calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) {\n const start_mid_x_dist = startPoint[0] - midPoint[0];\n const start_end_x_dist = startPoint[0] - endPoint[0];\n const mid_end_x_dist = midPoint[0] - endPoint[0];\n const start_mid_y_dist = startPoint[1] - midPoint[1];\n const start_end_y_dist = startPoint[1] - endPoint[1];\n const mid_end_y_dist = midPoint[1] - endPoint[1];\n const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist));\n const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist));\n let voteVertical = 0.0;\n let voteDiagonal = 0.0;\n let voteHorizontal = 0.0;\n const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 0.00001);\n if (start_end_x_y_dist_ratio > 1.5) voteVertical += options.DISTANCE_VOTE_POWER;\n else if (start_end_x_y_dist_ratio > 0.66) voteDiagonal += options.DISTANCE_VOTE_POWER;\n else voteHorizontal += options.DISTANCE_VOTE_POWER;\n const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist);\n const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist);\n const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist);\n const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist);\n let calc_start_point_x = startPoint[0];\n let calc_start_point_y = startPoint[1];\n let calc_end_point_x = endPoint[0];\n let calc_end_point_y = endPoint[1];\n if (max_dist === start_mid_dist) {\n calc_end_point_x = endPoint[0];\n calc_end_point_y = endPoint[1];\n } else if (max_dist === mid_end_dist) {\n calc_start_point_x = midPoint[0];\n calc_start_point_y = midPoint[1];\n }\n const calcStartPoint = [calc_start_point_x, calc_start_point_y];\n const calcEndPoint = [calc_end_point_x, calc_end_point_y];\n const totalAngle = getSlopes(calcStartPoint, calcEndPoint);\n const votes = angleOrientationAt(totalAngle, options.TOTAL_ANGLE_VOTE_POWER);\n voteVertical += votes[0];\n voteDiagonal += votes[1];\n voteHorizontal += votes[2];\n for (const fingerSlope of fingerSlopes) {\n const fingerVotes = angleOrientationAt(fingerSlope, options.SINGLE_ANGLE_VOTE_POWER);\n voteVertical += fingerVotes[0];\n voteDiagonal += fingerVotes[1];\n voteHorizontal += fingerVotes[2];\n }\n // in case of tie, highest preference goes to Vertical,\n // followed by horizontal and then diagonal\n let estimatedDirection;\n if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) {\n estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y);\n } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) {\n estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n } else {\n estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x);\n }\n return estimatedDirection;\n}\n\nfunction estimate(landmarks) {\n // step 1: calculate slopes\n const slopesXY: number[][] = [];\n const slopesYZ: number[][] = [];\n const fingerCurls: number[] = [];\n const fingerDirections: number[] = [];\n if (!landmarks) return { curls: fingerCurls, directions: fingerDirections };\n\n // step 1: calculate slopes\n for (const finger of Finger.all) {\n const points = Finger.getPoints(finger);\n const slopeAtXY: number[] = [];\n const slopeAtYZ: number[] = [];\n for (const point of points) {\n const point1 = landmarks[point[0]];\n const point2 = landmarks[point[1]];\n // calculate single slope\n const slopes = getSlopes(point1, point2);\n const slopeXY = slopes[0];\n const slopeYZ = slopes[1];\n slopeAtXY.push(slopeXY);\n slopeAtYZ.push(slopeYZ);\n }\n slopesXY.push(slopeAtXY);\n slopesYZ.push(slopeAtYZ);\n }\n\n // step 2: calculate orientations\n for (const finger of Finger.all) {\n // start finger predictions from palm - except for thumb\n const pointIndexAt = (finger === Finger.thumb) ? 1 : 0;\n const fingerPointsAt = Finger.getPoints(finger);\n const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]];\n const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]];\n const endPoint = landmarks[fingerPointsAt[3][1]];\n // check if finger is curled\n const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint);\n const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt));\n fingerCurls[finger] = fingerCurled;\n fingerDirections[finger] = fingerPosition;\n }\n return { curls: fingerCurls, directions: fingerDirections };\n}\n\nexport function analyze(keypoints) { // get estimations of curl / direction for each finger\n if (!keypoints || keypoints.length === 0) return null;\n const estimatorRes = estimate(keypoints);\n const landmarks = {};\n for (const fingerIdx of Finger.all) {\n landmarks[Finger.getName(fingerIdx)] = {\n curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]),\n direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]),\n };\n }\n return landmarks;\n}\n\nexport function match(keypoints) { // compare gesture description to each known gesture\n const poses: { name: string, confidence: number }[] = [];\n if (!keypoints || keypoints.length === 0) return poses;\n const estimatorRes = estimate(keypoints);\n for (const gesture of Gestures) {\n const confidence = gesture.matchAgainst(estimatorRes.curls, estimatorRes.directions);\n if (confidence >= minConfidence) poses.push({ name: gesture.name, confidence });\n }\n return poses;\n}\n", "/**\n * Gesture detection algorithm\n */\n\nimport type { GestureResult, BodyResult, FaceResult, HandResult, Point } from '../result';\nimport * as fingerPose from '../hand/fingerpose';\n\n/** face gesture type */\nexport type FaceGesture =\n `facing ${'left' | 'center' | 'right'}`\n | `blink ${'left' | 'right'} eye`\n | `mouth ${number}% open`\n | `head ${'up' | 'down'}`;\n\n/** iris gesture type */\nexport type IrisGesture =\n 'facing center'\n | `looking ${'left' | 'right' | 'up' | 'down'}`\n | 'looking center';\n\n/** body gesture type */\nexport type BodyGesture =\n `leaning ${'left' | 'right'}`\n | `raise ${'left' | 'right'} hand`\n | 'i give up';\n\n/** hand gesture type */\nexport type HandGesture =\n `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} forward`\n | `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} up`\n | 'victory'\n | 'thumbs up';\n\nexport const body = (res: BodyResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { body: number, gesture: BodyGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position[1] < nose.position[1]) && (rightWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position[1] < nose.position[1])) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) {\n gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position[1] > rightShoulder.position[1]) ? 'left' : 'right'}` });\n }\n }\n return gestures;\n};\n\nexport const face = (res: FaceResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { face: number, gesture: FaceGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 450) {\n const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0);\n const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0];\n if (Math.abs(zDiff / xDiff) <= 0.15) gestures.push({ face: i, gesture: 'facing center' });\n else gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? 'left' : 'right'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2] || 0;\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res: FaceResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { iris: number, gesture: IrisGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations?.leftEyeIris?.[0] || !res[i].annotations?.rightEyeIris?.[0]) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n let center = false;\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) {\n center = true;\n gestures.push({ iris: i, gesture: 'facing center' });\n }\n\n const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2];\n const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2];\n if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) center = false;\n if (leftIrisCenterX > rightIrisCenterX) { // check eye with bigger offset\n if (leftIrisCenterX > 0.05) gestures.push({ iris: i, gesture: 'looking right' });\n } else {\n if (rightIrisCenterX > 0.05) gestures.push({ iris: i, gesture: 'looking left' });\n }\n\n const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3];\n const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3];\n if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) center = false;\n if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) gestures.push({ iris: i, gesture: 'looking down' });\n if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) gestures.push({ iris: i, gesture: 'looking up' });\n\n // still center;\n if (center) gestures.push({ iris: i, gesture: 'looking center' });\n }\n return gestures;\n};\n\nexport const hand = (res: HandResult[]): GestureResult[] => {\n if (!res) return [];\n const gestures: { hand: number, gesture: HandGesture }[] = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: { name: string, position: Point }[] = [];\n if (res[i].annotations) {\n for (const [finger, pos] of Object.entries(res[i].annotations)) {\n if (finger !== 'palmBase' && Array.isArray(pos) && pos[0]) fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => ((best.position[2] || 0) < (a.position[2] || 0) ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward` as HandGesture });\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${highest.name} up` as HandGesture });\n }\n if (res[i].keypoints) {\n const poses = fingerPose.match(res[i].keypoints);\n for (const pose of poses) gestures.push({ hand: i, gesture: pose.name as HandGesture });\n }\n }\n return gestures;\n};\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { Point } from '../result';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]] as Point;\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]] as Point;\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]] as Point;\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize] as Point;\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]] as Point;\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]] as Point;\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: number[] = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: number[][] = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "/**\n * HandPose model implementation constants\n * See `handpose.ts` for entry point\n */\n\nexport const anchors = [\n { x: 0.015625, y: 0.015625 },\n { x: 0.015625, y: 0.015625 },\n { x: 0.046875, y: 0.015625 },\n { x: 0.046875, y: 0.015625 },\n { x: 0.078125, y: 0.015625 },\n { x: 0.078125, y: 0.015625 },\n { x: 0.109375, y: 0.015625 },\n { x: 0.109375, y: 0.015625 },\n { x: 0.140625, y: 0.015625 },\n { x: 0.140625, y: 0.015625 },\n { x: 0.171875, y: 0.015625 },\n { x: 0.171875, y: 0.015625 },\n { x: 0.203125, y: 0.015625 },\n { x: 0.203125, y: 0.015625 },\n { x: 0.234375, y: 0.015625 },\n { x: 0.234375, y: 0.015625 },\n { x: 0.265625, y: 0.015625 },\n { x: 0.265625, y: 0.015625 },\n { x: 0.296875, y: 0.015625 },\n { x: 0.296875, y: 0.015625 },\n { x: 0.328125, y: 0.015625 },\n { x: 0.328125, y: 0.015625 },\n { x: 0.359375, y: 0.015625 },\n { x: 0.359375, y: 0.015625 },\n { x: 0.390625, y: 0.015625 },\n { x: 0.390625, y: 0.015625 },\n { x: 0.421875, y: 0.015625 },\n { x: 0.421875, y: 0.015625 },\n { x: 0.453125, y: 0.015625 },\n { x: 0.453125, y: 0.015625 },\n { x: 0.484375, y: 0.015625 },\n { x: 0.484375, y: 0.015625 },\n { x: 0.515625, y: 0.015625 },\n { x: 0.515625, y: 0.015625 },\n { x: 0.546875, y: 0.015625 },\n { x: 0.546875, y: 0.015625 },\n { x: 0.578125, y: 0.015625 },\n { x: 0.578125, y: 0.015625 },\n { x: 0.609375, y: 0.015625 },\n { x: 0.609375, y: 0.015625 },\n { x: 0.640625, y: 0.015625 },\n { x: 0.640625, y: 0.015625 },\n { x: 0.671875, y: 0.015625 },\n { x: 0.671875, y: 0.015625 },\n { x: 0.703125, y: 0.015625 },\n { x: 0.703125, y: 0.015625 },\n { x: 0.734375, y: 0.015625 },\n { x: 0.734375, y: 0.015625 },\n { x: 0.765625, y: 0.015625 },\n { x: 0.765625, y: 0.015625 },\n { x: 0.796875, y: 0.015625 },\n { x: 0.796875, y: 0.015625 },\n { x: 0.828125, y: 0.015625 },\n { x: 0.828125, y: 0.015625 },\n { x: 0.859375, y: 0.015625 },\n { x: 0.859375, y: 0.015625 },\n { x: 0.890625, y: 0.015625 },\n { x: 0.890625, y: 0.015625 },\n { x: 0.921875, y: 0.015625 },\n { x: 0.921875, y: 0.015625 },\n { x: 0.953125, y: 0.015625 },\n { x: 0.953125, y: 0.015625 },\n { x: 0.984375, y: 0.015625 },\n { x: 0.984375, y: 0.015625 },\n { x: 0.015625, y: 0.046875 },\n { x: 0.015625, y: 0.046875 },\n { x: 0.046875, y: 0.046875 },\n { x: 0.046875, y: 0.046875 },\n { x: 0.078125, y: 0.046875 },\n { x: 0.078125, y: 0.046875 },\n { x: 0.109375, y: 0.046875 },\n { x: 0.109375, y: 0.046875 },\n { x: 0.140625, y: 0.046875 },\n { x: 0.140625, y: 0.046875 },\n { x: 0.171875, y: 0.046875 },\n { x: 0.171875, y: 0.046875 },\n { x: 0.203125, y: 0.046875 },\n { x: 0.203125, y: 0.046875 },\n { x: 0.234375, y: 0.046875 },\n { x: 0.234375, y: 0.046875 },\n { x: 0.265625, y: 0.046875 },\n { x: 0.265625, y: 0.046875 },\n { x: 0.296875, y: 0.046875 },\n { x: 0.296875, y: 0.046875 },\n { x: 0.328125, y: 0.046875 },\n { x: 0.328125, y: 0.046875 },\n { x: 0.359375, y: 0.046875 },\n { x: 0.359375, y: 0.046875 },\n { x: 0.390625, y: 0.046875 },\n { x: 0.390625, y: 0.046875 },\n { x: 0.421875, y: 0.046875 },\n { x: 0.421875, y: 0.046875 },\n { x: 0.453125, y: 0.046875 },\n { x: 0.453125, y: 0.046875 },\n { x: 0.484375, y: 0.046875 },\n { x: 0.484375, y: 0.046875 },\n { x: 0.515625, y: 0.046875 },\n { x: 0.515625, y: 0.046875 },\n { x: 0.546875, y: 0.046875 },\n { x: 0.546875, y: 0.046875 },\n { x: 0.578125, y: 0.046875 },\n { x: 0.578125, y: 0.046875 },\n { x: 0.609375, y: 0.046875 },\n { x: 0.609375, y: 0.046875 },\n { x: 0.640625, y: 0.046875 },\n { x: 0.640625, y: 0.046875 },\n { x: 0.671875, y: 0.046875 },\n { x: 0.671875, y: 0.046875 },\n { x: 0.703125, y: 0.046875 },\n { x: 0.703125, y: 0.046875 },\n { x: 0.734375, y: 0.046875 },\n { x: 0.734375, y: 0.046875 },\n { x: 0.765625, y: 0.046875 },\n { x: 0.765625, y: 0.046875 },\n { x: 0.796875, y: 0.046875 },\n { x: 0.796875, y: 0.046875 },\n { x: 0.828125, y: 0.046875 },\n { x: 0.828125, y: 0.046875 },\n { x: 0.859375, y: 0.046875 },\n { x: 0.859375, y: 0.046875 },\n { x: 0.890625, y: 0.046875 },\n { x: 0.890625, y: 0.046875 },\n { x: 0.921875, y: 0.046875 },\n { x: 0.921875, y: 0.046875 },\n { x: 0.953125, y: 0.046875 },\n { x: 0.953125, y: 0.046875 },\n { x: 0.984375, y: 0.046875 },\n { x: 0.984375, y: 0.046875 },\n { x: 0.015625, y: 0.078125 },\n { x: 0.015625, y: 0.078125 },\n { x: 0.046875, y: 0.078125 },\n { x: 0.046875, y: 0.078125 },\n { x: 0.078125, y: 0.078125 },\n { x: 0.078125, y: 0.078125 },\n { x: 0.109375, y: 0.078125 },\n { x: 0.109375, y: 0.078125 },\n { x: 0.140625, y: 0.078125 },\n { x: 0.140625, y: 0.078125 },\n { x: 0.171875, y: 0.078125 },\n { x: 0.171875, y: 0.078125 },\n { x: 0.203125, y: 0.078125 },\n { x: 0.203125, y: 0.078125 },\n { x: 0.234375, y: 0.078125 },\n { x: 0.234375, y: 0.078125 },\n { x: 0.265625, y: 0.078125 },\n { x: 0.265625, y: 0.078125 },\n { x: 0.296875, y: 0.078125 },\n { x: 0.296875, y: 0.078125 },\n { x: 0.328125, y: 0.078125 },\n { x: 0.328125, y: 0.078125 },\n { x: 0.359375, y: 0.078125 },\n { x: 0.359375, y: 0.078125 },\n { x: 0.390625, y: 0.078125 },\n { x: 0.390625, y: 0.078125 },\n { x: 0.421875, y: 0.078125 },\n { x: 0.421875, y: 0.078125 },\n { x: 0.453125, y: 0.078125 },\n { x: 0.453125, y: 0.078125 },\n { x: 0.484375, y: 0.078125 },\n { x: 0.484375, y: 0.078125 },\n { x: 0.515625, y: 0.078125 },\n { x: 0.515625, y: 0.078125 },\n { x: 0.546875, y: 0.078125 },\n { x: 0.546875, y: 0.078125 },\n { x: 0.578125, y: 0.078125 },\n { x: 0.578125, y: 0.078125 },\n { x: 0.609375, y: 0.078125 },\n { x: 0.609375, y: 0.078125 },\n { x: 0.640625, y: 0.078125 },\n { x: 0.640625, y: 0.078125 },\n { x: 0.671875, y: 0.078125 },\n { x: 0.671875, y: 0.078125 },\n { x: 0.703125, y: 0.078125 },\n { x: 0.703125, y: 0.078125 },\n { x: 0.734375, y: 0.078125 },\n { x: 0.734375, y: 0.078125 },\n { x: 0.765625, y: 0.078125 },\n { x: 0.765625, y: 0.078125 },\n { x: 0.796875, y: 0.078125 },\n { x: 0.796875, y: 0.078125 },\n { x: 0.828125, y: 0.078125 },\n { x: 0.828125, y: 0.078125 },\n { x: 0.859375, y: 0.078125 },\n { x: 0.859375, y: 0.078125 },\n { x: 0.890625, y: 0.078125 },\n { x: 0.890625, y: 0.078125 },\n { x: 0.921875, y: 0.078125 },\n { x: 0.921875, y: 0.078125 },\n { x: 0.953125, y: 0.078125 },\n { x: 0.953125, y: 0.078125 },\n { x: 0.984375, y: 0.078125 },\n { x: 0.984375, y: 0.078125 },\n { x: 0.015625, y: 0.109375 },\n { x: 0.015625, y: 0.109375 },\n { x: 0.046875, y: 0.109375 },\n { x: 0.046875, y: 0.109375 },\n { x: 0.078125, y: 0.109375 },\n { x: 0.078125, y: 0.109375 },\n { x: 0.109375, y: 0.109375 },\n { x: 0.109375, y: 0.109375 },\n { x: 0.140625, y: 0.109375 },\n { x: 0.140625, y: 0.109375 },\n { x: 0.171875, y: 0.109375 },\n { x: 0.171875, y: 0.109375 },\n { x: 0.203125, y: 0.109375 },\n { x: 0.203125, y: 0.109375 },\n { x: 0.234375, y: 0.109375 },\n { x: 0.234375, y: 0.109375 },\n { x: 0.265625, y: 0.109375 },\n { x: 0.265625, y: 0.109375 },\n { x: 0.296875, y: 0.109375 },\n { x: 0.296875, y: 0.109375 },\n { x: 0.328125, y: 0.109375 },\n { x: 0.328125, y: 0.109375 },\n { x: 0.359375, y: 0.109375 },\n { x: 0.359375, y: 0.109375 },\n { x: 0.390625, y: 0.109375 },\n { x: 0.390625, y: 0.109375 },\n { x: 0.421875, y: 0.109375 },\n { x: 0.421875, y: 0.109375 },\n { x: 0.453125, y: 0.109375 },\n { x: 0.453125, y: 0.109375 },\n { x: 0.484375, y: 0.109375 },\n { x: 0.484375, y: 0.109375 },\n { x: 0.515625, y: 0.109375 },\n { x: 0.515625, y: 0.109375 },\n { x: 0.546875, y: 0.109375 },\n { x: 0.546875, y: 0.109375 },\n { x: 0.578125, y: 0.109375 },\n { x: 0.578125, y: 0.109375 },\n { x: 0.609375, y: 0.109375 },\n { x: 0.609375, y: 0.109375 },\n { x: 0.640625, y: 0.109375 },\n { x: 0.640625, y: 0.109375 },\n { x: 0.671875, y: 0.109375 },\n { x: 0.671875, y: 0.109375 },\n { x: 0.703125, y: 0.109375 },\n { x: 0.703125, y: 0.109375 },\n { x: 0.734375, y: 0.109375 },\n { x: 0.734375, y: 0.109375 },\n { x: 0.765625, y: 0.109375 },\n { x: 0.765625, y: 0.109375 },\n { x: 0.796875, y: 0.109375 },\n { x: 0.796875, y: 0.109375 },\n { x: 0.828125, y: 0.109375 },\n { x: 0.828125, y: 0.109375 },\n { x: 0.859375, y: 0.109375 },\n { x: 0.859375, y: 0.109375 },\n { x: 0.890625, y: 0.109375 },\n { x: 0.890625, y: 0.109375 },\n { x: 0.921875, y: 0.109375 },\n { x: 0.921875, y: 0.109375 },\n { x: 0.953125, y: 0.109375 },\n { x: 0.953125, y: 0.109375 },\n { x: 0.984375, y: 0.109375 },\n { x: 0.984375, y: 0.109375 },\n { x: 0.015625, y: 0.140625 },\n { x: 0.015625, y: 0.140625 },\n { x: 0.046875, y: 0.140625 },\n { x: 0.046875, y: 0.140625 },\n { x: 0.078125, y: 0.140625 },\n { x: 0.078125, y: 0.140625 },\n { x: 0.109375, y: 0.140625 },\n { x: 0.109375, y: 0.140625 },\n { x: 0.140625, y: 0.140625 },\n { x: 0.140625, y: 0.140625 },\n { x: 0.171875, y: 0.140625 },\n { x: 0.171875, y: 0.140625 },\n { x: 0.203125, y: 0.140625 },\n { x: 0.203125, y: 0.140625 },\n { x: 0.234375, y: 0.140625 },\n { x: 0.234375, y: 0.140625 },\n { x: 0.265625, y: 0.140625 },\n { x: 0.265625, y: 0.140625 },\n { x: 0.296875, y: 0.140625 },\n { x: 0.296875, y: 0.140625 },\n { x: 0.328125, y: 0.140625 },\n { x: 0.328125, y: 0.140625 },\n { x: 0.359375, y: 0.140625 },\n { x: 0.359375, y: 0.140625 },\n { x: 0.390625, y: 0.140625 },\n { x: 0.390625, y: 0.140625 },\n { x: 0.421875, y: 0.140625 },\n { x: 0.421875, y: 0.140625 },\n { x: 0.453125, y: 0.140625 },\n { x: 0.453125, y: 0.140625 },\n { x: 0.484375, y: 0.140625 },\n { x: 0.484375, y: 0.140625 },\n { x: 0.515625, y: 0.140625 },\n { x: 0.515625, y: 0.140625 },\n { x: 0.546875, y: 0.140625 },\n { x: 0.546875, y: 0.140625 },\n { x: 0.578125, y: 0.140625 },\n { x: 0.578125, y: 0.140625 },\n { x: 0.609375, y: 0.140625 },\n { x: 0.609375, y: 0.140625 },\n { x: 0.640625, y: 0.140625 },\n { x: 0.640625, y: 0.140625 },\n { x: 0.671875, y: 0.140625 },\n { x: 0.671875, y: 0.140625 },\n { x: 0.703125, y: 0.140625 },\n { x: 0.703125, y: 0.140625 },\n { x: 0.734375, y: 0.140625 },\n { x: 0.734375, y: 0.140625 },\n { x: 0.765625, y: 0.140625 },\n { x: 0.765625, y: 0.140625 },\n { x: 0.796875, y: 0.140625 },\n { x: 0.796875, y: 0.140625 },\n { x: 0.828125, y: 0.140625 },\n { x: 0.828125, y: 0.140625 },\n { x: 0.859375, y: 0.140625 },\n { x: 0.859375, y: 0.140625 },\n { x: 0.890625, y: 0.140625 },\n { x: 0.890625, y: 0.140625 },\n { x: 0.921875, y: 0.140625 },\n { x: 0.921875, y: 0.140625 },\n { x: 0.953125, y: 0.140625 },\n { x: 0.953125, y: 0.140625 },\n { x: 0.984375, y: 0.140625 },\n { x: 0.984375, y: 0.140625 },\n { x: 0.015625, y: 0.171875 },\n { x: 0.015625, y: 0.171875 },\n { x: 0.046875, y: 0.171875 },\n { x: 0.046875, y: 0.171875 },\n { x: 0.078125, y: 0.171875 },\n { x: 0.078125, y: 0.171875 },\n { x: 0.109375, y: 0.171875 },\n { x: 0.109375, y: 0.171875 },\n { x: 0.140625, y: 0.171875 },\n { x: 0.140625, y: 0.171875 },\n { x: 0.171875, y: 0.171875 },\n { x: 0.171875, y: 0.171875 },\n { x: 0.203125, y: 0.171875 },\n { x: 0.203125, y: 0.171875 },\n { x: 0.234375, y: 0.171875 },\n { x: 0.234375, y: 0.171875 },\n { x: 0.265625, y: 0.171875 },\n { x: 0.265625, y: 0.171875 },\n { x: 0.296875, y: 0.171875 },\n { x: 0.296875, y: 0.171875 },\n { x: 0.328125, y: 0.171875 },\n { x: 0.328125, y: 0.171875 },\n { x: 0.359375, y: 0.171875 },\n { x: 0.359375, y: 0.171875 },\n { x: 0.390625, y: 0.171875 },\n { x: 0.390625, y: 0.171875 },\n { x: 0.421875, y: 0.171875 },\n { x: 0.421875, y: 0.171875 },\n { x: 0.453125, y: 0.171875 },\n { x: 0.453125, y: 0.171875 },\n { x: 0.484375, y: 0.171875 },\n { x: 0.484375, y: 0.171875 },\n { x: 0.515625, y: 0.171875 },\n { x: 0.515625, y: 0.171875 },\n { x: 0.546875, y: 0.171875 },\n { x: 0.546875, y: 0.171875 },\n { x: 0.578125, y: 0.171875 },\n { x: 0.578125, y: 0.171875 },\n { x: 0.609375, y: 0.171875 },\n { x: 0.609375, y: 0.171875 },\n { x: 0.640625, y: 0.171875 },\n { x: 0.640625, y: 0.171875 },\n { x: 0.671875, y: 0.171875 },\n { x: 0.671875, y: 0.171875 },\n { x: 0.703125, y: 0.171875 },\n { x: 0.703125, y: 0.171875 },\n { x: 0.734375, y: 0.171875 },\n { x: 0.734375, y: 0.171875 },\n { x: 0.765625, y: 0.171875 },\n { x: 0.765625, y: 0.171875 },\n { x: 0.796875, y: 0.171875 },\n { x: 0.796875, y: 0.171875 },\n { x: 0.828125, y: 0.171875 },\n { x: 0.828125, y: 0.171875 },\n { x: 0.859375, y: 0.171875 },\n { x: 0.859375, y: 0.171875 },\n { x: 0.890625, y: 0.171875 },\n { x: 0.890625, y: 0.171875 },\n { x: 0.921875, y: 0.171875 },\n { x: 0.921875, y: 0.171875 },\n { x: 0.953125, y: 0.171875 },\n { x: 0.953125, y: 0.171875 },\n { x: 0.984375, y: 0.171875 },\n { x: 0.984375, y: 0.171875 },\n { x: 0.015625, y: 0.203125 },\n { x: 0.015625, y: 0.203125 },\n { x: 0.046875, y: 0.203125 },\n { x: 0.046875, y: 0.203125 },\n { x: 0.078125, y: 0.203125 },\n { x: 0.078125, y: 0.203125 },\n { x: 0.109375, y: 0.203125 },\n { x: 0.109375, y: 0.203125 },\n { x: 0.140625, y: 0.203125 },\n { x: 0.140625, y: 0.203125 },\n { x: 0.171875, y: 0.203125 },\n { x: 0.171875, y: 0.203125 },\n { x: 0.203125, y: 0.203125 },\n { x: 0.203125, y: 0.203125 },\n { x: 0.234375, y: 0.203125 },\n { x: 0.234375, y: 0.203125 },\n { x: 0.265625, y: 0.203125 },\n { x: 0.265625, y: 0.203125 },\n { x: 0.296875, y: 0.203125 },\n { x: 0.296875, y: 0.203125 },\n { x: 0.328125, y: 0.203125 },\n { x: 0.328125, y: 0.203125 },\n { x: 0.359375, y: 0.203125 },\n { x: 0.359375, y: 0.203125 },\n { x: 0.390625, y: 0.203125 },\n { x: 0.390625, y: 0.203125 },\n { x: 0.421875, y: 0.203125 },\n { x: 0.421875, y: 0.203125 },\n { x: 0.453125, y: 0.203125 },\n { x: 0.453125, y: 0.203125 },\n { x: 0.484375, y: 0.203125 },\n { x: 0.484375, y: 0.203125 },\n { x: 0.515625, y: 0.203125 },\n { x: 0.515625, y: 0.203125 },\n { x: 0.546875, y: 0.203125 },\n { x: 0.546875, y: 0.203125 },\n { x: 0.578125, y: 0.203125 },\n { x: 0.578125, y: 0.203125 },\n { x: 0.609375, y: 0.203125 },\n { x: 0.609375, y: 0.203125 },\n { x: 0.640625, y: 0.203125 },\n { x: 0.640625, y: 0.203125 },\n { x: 0.671875, y: 0.203125 },\n { x: 0.671875, y: 0.203125 },\n { x: 0.703125, y: 0.203125 },\n { x: 0.703125, y: 0.203125 },\n { x: 0.734375, y: 0.203125 },\n { x: 0.734375, y: 0.203125 },\n { x: 0.765625, y: 0.203125 },\n { x: 0.765625, y: 0.203125 },\n { x: 0.796875, y: 0.203125 },\n { x: 0.796875, y: 0.203125 },\n { x: 0.828125, y: 0.203125 },\n { x: 0.828125, y: 0.203125 },\n { x: 0.859375, y: 0.203125 },\n { x: 0.859375, y: 0.203125 },\n { x: 0.890625, y: 0.203125 },\n { x: 0.890625, y: 0.203125 },\n { x: 0.921875, y: 0.203125 },\n { x: 0.921875, y: 0.203125 },\n { x: 0.953125, y: 0.203125 },\n { x: 0.953125, y: 0.203125 },\n { x: 0.984375, y: 0.203125 },\n { x: 0.984375, y: 0.203125 },\n { x: 0.015625, y: 0.234375 },\n { x: 0.015625, y: 0.234375 },\n { x: 0.046875, y: 0.234375 },\n { x: 0.046875, y: 0.234375 },\n { x: 0.078125, y: 0.234375 },\n { x: 0.078125, y: 0.234375 },\n { x: 0.109375, y: 0.234375 },\n { x: 0.109375, y: 0.234375 },\n { x: 0.140625, y: 0.234375 },\n { x: 0.140625, y: 0.234375 },\n { x: 0.171875, y: 0.234375 },\n { x: 0.171875, y: 0.234375 },\n { x: 0.203125, y: 0.234375 },\n { x: 0.203125, y: 0.234375 },\n { x: 0.234375, y: 0.234375 },\n { x: 0.234375, y: 0.234375 },\n { x: 0.265625, y: 0.234375 },\n { x: 0.265625, y: 0.234375 },\n { x: 0.296875, y: 0.234375 },\n { x: 0.296875, y: 0.234375 },\n { x: 0.328125, y: 0.234375 },\n { x: 0.328125, y: 0.234375 },\n { x: 0.359375, y: 0.234375 },\n { x: 0.359375, y: 0.234375 },\n { x: 0.390625, y: 0.234375 },\n { x: 0.390625, y: 0.234375 },\n { x: 0.421875, y: 0.234375 },\n { x: 0.421875, y: 0.234375 },\n { x: 0.453125, y: 0.234375 },\n { x: 0.453125, y: 0.234375 },\n { x: 0.484375, y: 0.234375 },\n { x: 0.484375, y: 0.234375 },\n { x: 0.515625, y: 0.234375 },\n { x: 0.515625, y: 0.234375 },\n { x: 0.546875, y: 0.234375 },\n { x: 0.546875, y: 0.234375 },\n { x: 0.578125, y: 0.234375 },\n { x: 0.578125, y: 0.234375 },\n { x: 0.609375, y: 0.234375 },\n { x: 0.609375, y: 0.234375 },\n { x: 0.640625, y: 0.234375 },\n { x: 0.640625, y: 0.234375 },\n { x: 0.671875, y: 0.234375 },\n { x: 0.671875, y: 0.234375 },\n { x: 0.703125, y: 0.234375 },\n { x: 0.703125, y: 0.234375 },\n { x: 0.734375, y: 0.234375 },\n { x: 0.734375, y: 0.234375 },\n { x: 0.765625, y: 0.234375 },\n { x: 0.765625, y: 0.234375 },\n { x: 0.796875, y: 0.234375 },\n { x: 0.796875, y: 0.234375 },\n { x: 0.828125, y: 0.234375 },\n { x: 0.828125, y: 0.234375 },\n { x: 0.859375, y: 0.234375 },\n { x: 0.859375, y: 0.234375 },\n { x: 0.890625, y: 0.234375 },\n { x: 0.890625, y: 0.234375 },\n { x: 0.921875, y: 0.234375 },\n { x: 0.921875, y: 0.234375 },\n { x: 0.953125, y: 0.234375 },\n { x: 0.953125, y: 0.234375 },\n { x: 0.984375, y: 0.234375 },\n { x: 0.984375, y: 0.234375 },\n { x: 0.015625, y: 0.265625 },\n { x: 0.015625, y: 0.265625 },\n { x: 0.046875, y: 0.265625 },\n { x: 0.046875, y: 0.265625 },\n { x: 0.078125, y: 0.265625 },\n { x: 0.078125, y: 0.265625 },\n { x: 0.109375, y: 0.265625 },\n { x: 0.109375, y: 0.265625 },\n { x: 0.140625, y: 0.265625 },\n { x: 0.140625, y: 0.265625 },\n { x: 0.171875, y: 0.265625 },\n { x: 0.171875, y: 0.265625 },\n { x: 0.203125, y: 0.265625 },\n { x: 0.203125, y: 0.265625 },\n { x: 0.234375, y: 0.265625 },\n { x: 0.234375, y: 0.265625 },\n { x: 0.265625, y: 0.265625 },\n { x: 0.265625, y: 0.265625 },\n { x: 0.296875, y: 0.265625 },\n { x: 0.296875, y: 0.265625 },\n { x: 0.328125, y: 0.265625 },\n { x: 0.328125, y: 0.265625 },\n { x: 0.359375, y: 0.265625 },\n { x: 0.359375, y: 0.265625 },\n { x: 0.390625, y: 0.265625 },\n { x: 0.390625, y: 0.265625 },\n { x: 0.421875, y: 0.265625 },\n { x: 0.421875, y: 0.265625 },\n { x: 0.453125, y: 0.265625 },\n { x: 0.453125, y: 0.265625 },\n { x: 0.484375, y: 0.265625 },\n { x: 0.484375, y: 0.265625 },\n { x: 0.515625, y: 0.265625 },\n { x: 0.515625, y: 0.265625 },\n { x: 0.546875, y: 0.265625 },\n { x: 0.546875, y: 0.265625 },\n { x: 0.578125, y: 0.265625 },\n { x: 0.578125, y: 0.265625 },\n { x: 0.609375, y: 0.265625 },\n { x: 0.609375, y: 0.265625 },\n { x: 0.640625, y: 0.265625 },\n { x: 0.640625, y: 0.265625 },\n { x: 0.671875, y: 0.265625 },\n { x: 0.671875, y: 0.265625 },\n { x: 0.703125, y: 0.265625 },\n { x: 0.703125, y: 0.265625 },\n { x: 0.734375, y: 0.265625 },\n { x: 0.734375, y: 0.265625 },\n { x: 0.765625, y: 0.265625 },\n { x: 0.765625, y: 0.265625 },\n { x: 0.796875, y: 0.265625 },\n { x: 0.796875, y: 0.265625 },\n { x: 0.828125, y: 0.265625 },\n { x: 0.828125, y: 0.265625 },\n { x: 0.859375, y: 0.265625 },\n { x: 0.859375, y: 0.265625 },\n { x: 0.890625, y: 0.265625 },\n { x: 0.890625, y: 0.265625 },\n { x: 0.921875, y: 0.265625 },\n { x: 0.921875, y: 0.265625 },\n { x: 0.953125, y: 0.265625 },\n { x: 0.953125, y: 0.265625 },\n { x: 0.984375, y: 0.265625 },\n { x: 0.984375, y: 0.265625 },\n { x: 0.015625, y: 0.296875 },\n { x: 0.015625, y: 0.296875 },\n { x: 0.046875, y: 0.296875 },\n { x: 0.046875, y: 0.296875 },\n { x: 0.078125, y: 0.296875 },\n { x: 0.078125, y: 0.296875 },\n { x: 0.109375, y: 0.296875 },\n { x: 0.109375, y: 0.296875 },\n { x: 0.140625, y: 0.296875 },\n { x: 0.140625, y: 0.296875 },\n { x: 0.171875, y: 0.296875 },\n { x: 0.171875, y: 0.296875 },\n { x: 0.203125, y: 0.296875 },\n { x: 0.203125, y: 0.296875 },\n { x: 0.234375, y: 0.296875 },\n { x: 0.234375, y: 0.296875 },\n { x: 0.265625, y: 0.296875 },\n { x: 0.265625, y: 0.296875 },\n { x: 0.296875, y: 0.296875 },\n { x: 0.296875, y: 0.296875 },\n { x: 0.328125, y: 0.296875 },\n { x: 0.328125, y: 0.296875 },\n { x: 0.359375, y: 0.296875 },\n { x: 0.359375, y: 0.296875 },\n { x: 0.390625, y: 0.296875 },\n { x: 0.390625, y: 0.296875 },\n { x: 0.421875, y: 0.296875 },\n { x: 0.421875, y: 0.296875 },\n { x: 0.453125, y: 0.296875 },\n { x: 0.453125, y: 0.296875 },\n { x: 0.484375, y: 0.296875 },\n { x: 0.484375, y: 0.296875 },\n { x: 0.515625, y: 0.296875 },\n { x: 0.515625, y: 0.296875 },\n { x: 0.546875, y: 0.296875 },\n { x: 0.546875, y: 0.296875 },\n { x: 0.578125, y: 0.296875 },\n { x: 0.578125, y: 0.296875 },\n { x: 0.609375, y: 0.296875 },\n { x: 0.609375, y: 0.296875 },\n { x: 0.640625, y: 0.296875 },\n { x: 0.640625, y: 0.296875 },\n { x: 0.671875, y: 0.296875 },\n { x: 0.671875, y: 0.296875 },\n { x: 0.703125, y: 0.296875 },\n { x: 0.703125, y: 0.296875 },\n { x: 0.734375, y: 0.296875 },\n { x: 0.734375, y: 0.296875 },\n { x: 0.765625, y: 0.296875 },\n { x: 0.765625, y: 0.296875 },\n { x: 0.796875, y: 0.296875 },\n { x: 0.796875, y: 0.296875 },\n { x: 0.828125, y: 0.296875 },\n { x: 0.828125, y: 0.296875 },\n { x: 0.859375, y: 0.296875 },\n { x: 0.859375, y: 0.296875 },\n { x: 0.890625, y: 0.296875 },\n { x: 0.890625, y: 0.296875 },\n { x: 0.921875, y: 0.296875 },\n { x: 0.921875, y: 0.296875 },\n { x: 0.953125, y: 0.296875 },\n { x: 0.953125, y: 0.296875 },\n { x: 0.984375, y: 0.296875 },\n { x: 0.984375, y: 0.296875 },\n { x: 0.015625, y: 0.328125 },\n { x: 0.015625, y: 0.328125 },\n { x: 0.046875, y: 0.328125 },\n { x: 0.046875, y: 0.328125 },\n { x: 0.078125, y: 0.328125 },\n { x: 0.078125, y: 0.328125 },\n { x: 0.109375, y: 0.328125 },\n { x: 0.109375, y: 0.328125 },\n { x: 0.140625, y: 0.328125 },\n { x: 0.140625, y: 0.328125 },\n { x: 0.171875, y: 0.328125 },\n { x: 0.171875, y: 0.328125 },\n { x: 0.203125, y: 0.328125 },\n { x: 0.203125, y: 0.328125 },\n { x: 0.234375, y: 0.328125 },\n { x: 0.234375, y: 0.328125 },\n { x: 0.265625, y: 0.328125 },\n { x: 0.265625, y: 0.328125 },\n { x: 0.296875, y: 0.328125 },\n { x: 0.296875, y: 0.328125 },\n { x: 0.328125, y: 0.328125 },\n { x: 0.328125, y: 0.328125 },\n { x: 0.359375, y: 0.328125 },\n { x: 0.359375, y: 0.328125 },\n { x: 0.390625, y: 0.328125 },\n { x: 0.390625, y: 0.328125 },\n { x: 0.421875, y: 0.328125 },\n { x: 0.421875, y: 0.328125 },\n { x: 0.453125, y: 0.328125 },\n { x: 0.453125, y: 0.328125 },\n { x: 0.484375, y: 0.328125 },\n { x: 0.484375, y: 0.328125 },\n { x: 0.515625, y: 0.328125 },\n { x: 0.515625, y: 0.328125 },\n { x: 0.546875, y: 0.328125 },\n { x: 0.546875, y: 0.328125 },\n { x: 0.578125, y: 0.328125 },\n { x: 0.578125, y: 0.328125 },\n { x: 0.609375, y: 0.328125 },\n { x: 0.609375, y: 0.328125 },\n { x: 0.640625, y: 0.328125 },\n { x: 0.640625, y: 0.328125 },\n { x: 0.671875, y: 0.328125 },\n { x: 0.671875, y: 0.328125 },\n { x: 0.703125, y: 0.328125 },\n { x: 0.703125, y: 0.328125 },\n { x: 0.734375, y: 0.328125 },\n { x: 0.734375, y: 0.328125 },\n { x: 0.765625, y: 0.328125 },\n { x: 0.765625, y: 0.328125 },\n { x: 0.796875, y: 0.328125 },\n { x: 0.796875, y: 0.328125 },\n { x: 0.828125, y: 0.328125 },\n { x: 0.828125, y: 0.328125 },\n { x: 0.859375, y: 0.328125 },\n { x: 0.859375, y: 0.328125 },\n { x: 0.890625, y: 0.328125 },\n { x: 0.890625, y: 0.328125 },\n { x: 0.921875, y: 0.328125 },\n { x: 0.921875, y: 0.328125 },\n { x: 0.953125, y: 0.328125 },\n { x: 0.953125, y: 0.328125 },\n { x: 0.984375, y: 0.328125 },\n { x: 0.984375, y: 0.328125 },\n { x: 0.015625, y: 0.359375 },\n { x: 0.015625, y: 0.359375 },\n { x: 0.046875, y: 0.359375 },\n { x: 0.046875, y: 0.359375 },\n { x: 0.078125, y: 0.359375 },\n { x: 0.078125, y: 0.359375 },\n { x: 0.109375, y: 0.359375 },\n { x: 0.109375, y: 0.359375 },\n { x: 0.140625, y: 0.359375 },\n { x: 0.140625, y: 0.359375 },\n { x: 0.171875, y: 0.359375 },\n { x: 0.171875, y: 0.359375 },\n { x: 0.203125, y: 0.359375 },\n { x: 0.203125, y: 0.359375 },\n { x: 0.234375, y: 0.359375 },\n { x: 0.234375, y: 0.359375 },\n { x: 0.265625, y: 0.359375 },\n { x: 0.265625, y: 0.359375 },\n { x: 0.296875, y: 0.359375 },\n { x: 0.296875, y: 0.359375 },\n { x: 0.328125, y: 0.359375 },\n { x: 0.328125, y: 0.359375 },\n { x: 0.359375, y: 0.359375 },\n { x: 0.359375, y: 0.359375 },\n { x: 0.390625, y: 0.359375 },\n { x: 0.390625, y: 0.359375 },\n { x: 0.421875, y: 0.359375 },\n { x: 0.421875, y: 0.359375 },\n { x: 0.453125, y: 0.359375 },\n { x: 0.453125, y: 0.359375 },\n { x: 0.484375, y: 0.359375 },\n { x: 0.484375, y: 0.359375 },\n { x: 0.515625, y: 0.359375 },\n { x: 0.515625, y: 0.359375 },\n { x: 0.546875, y: 0.359375 },\n { x: 0.546875, y: 0.359375 },\n { x: 0.578125, y: 0.359375 },\n { x: 0.578125, y: 0.359375 },\n { x: 0.609375, y: 0.359375 },\n { x: 0.609375, y: 0.359375 },\n { x: 0.640625, y: 0.359375 },\n { x: 0.640625, y: 0.359375 },\n { x: 0.671875, y: 0.359375 },\n { x: 0.671875, y: 0.359375 },\n { x: 0.703125, y: 0.359375 },\n { x: 0.703125, y: 0.359375 },\n { x: 0.734375, y: 0.359375 },\n { x: 0.734375, y: 0.359375 },\n { x: 0.765625, y: 0.359375 },\n { x: 0.765625, y: 0.359375 },\n { x: 0.796875, y: 0.359375 },\n { x: 0.796875, y: 0.359375 },\n { x: 0.828125, y: 0.359375 },\n { x: 0.828125, y: 0.359375 },\n { x: 0.859375, y: 0.359375 },\n { x: 0.859375, y: 0.359375 },\n { x: 0.890625, y: 0.359375 },\n { x: 0.890625, y: 0.359375 },\n { x: 0.921875, y: 0.359375 },\n { x: 0.921875, y: 0.359375 },\n { x: 0.953125, y: 0.359375 },\n { x: 0.953125, y: 0.359375 },\n { x: 0.984375, y: 0.359375 },\n { x: 0.984375, y: 0.359375 },\n { x: 0.015625, y: 0.390625 },\n { x: 0.015625, y: 0.390625 },\n { x: 0.046875, y: 0.390625 },\n { x: 0.046875, y: 0.390625 },\n { x: 0.078125, y: 0.390625 },\n { x: 0.078125, y: 0.390625 },\n { x: 0.109375, y: 0.390625 },\n { x: 0.109375, y: 0.390625 },\n { x: 0.140625, y: 0.390625 },\n { x: 0.140625, y: 0.390625 },\n { x: 0.171875, y: 0.390625 },\n { x: 0.171875, y: 0.390625 },\n { x: 0.203125, y: 0.390625 },\n { x: 0.203125, y: 0.390625 },\n { x: 0.234375, y: 0.390625 },\n { x: 0.234375, y: 0.390625 },\n { x: 0.265625, y: 0.390625 },\n { x: 0.265625, y: 0.390625 },\n { x: 0.296875, y: 0.390625 },\n { x: 0.296875, y: 0.390625 },\n { x: 0.328125, y: 0.390625 },\n { x: 0.328125, y: 0.390625 },\n { x: 0.359375, y: 0.390625 },\n { x: 0.359375, y: 0.390625 },\n { x: 0.390625, y: 0.390625 },\n { x: 0.390625, y: 0.390625 },\n { x: 0.421875, y: 0.390625 },\n { x: 0.421875, y: 0.390625 },\n { x: 0.453125, y: 0.390625 },\n { x: 0.453125, y: 0.390625 },\n { x: 0.484375, y: 0.390625 },\n { x: 0.484375, y: 0.390625 },\n { x: 0.515625, y: 0.390625 },\n { x: 0.515625, y: 0.390625 },\n { x: 0.546875, y: 0.390625 },\n { x: 0.546875, y: 0.390625 },\n { x: 0.578125, y: 0.390625 },\n { x: 0.578125, y: 0.390625 },\n { x: 0.609375, y: 0.390625 },\n { x: 0.609375, y: 0.390625 },\n { x: 0.640625, y: 0.390625 },\n { x: 0.640625, y: 0.390625 },\n { x: 0.671875, y: 0.390625 },\n { x: 0.671875, y: 0.390625 },\n { x: 0.703125, y: 0.390625 },\n { x: 0.703125, y: 0.390625 },\n { x: 0.734375, y: 0.390625 },\n { x: 0.734375, y: 0.390625 },\n { x: 0.765625, y: 0.390625 },\n { x: 0.765625, y: 0.390625 },\n { x: 0.796875, y: 0.390625 },\n { x: 0.796875, y: 0.390625 },\n { x: 0.828125, y: 0.390625 },\n { x: 0.828125, y: 0.390625 },\n { x: 0.859375, y: 0.390625 },\n { x: 0.859375, y: 0.390625 },\n { x: 0.890625, y: 0.390625 },\n { x: 0.890625, y: 0.390625 },\n { x: 0.921875, y: 0.390625 },\n { x: 0.921875, y: 0.390625 },\n { x: 0.953125, y: 0.390625 },\n { x: 0.953125, y: 0.390625 },\n { x: 0.984375, y: 0.390625 },\n { x: 0.984375, y: 0.390625 },\n { x: 0.015625, y: 0.421875 },\n { x: 0.015625, y: 0.421875 },\n { x: 0.046875, y: 0.421875 },\n { x: 0.046875, y: 0.421875 },\n { x: 0.078125, y: 0.421875 },\n { x: 0.078125, y: 0.421875 },\n { x: 0.109375, y: 0.421875 },\n { x: 0.109375, y: 0.421875 },\n { x: 0.140625, y: 0.421875 },\n { x: 0.140625, y: 0.421875 },\n { x: 0.171875, y: 0.421875 },\n { x: 0.171875, y: 0.421875 },\n { x: 0.203125, y: 0.421875 },\n { x: 0.203125, y: 0.421875 },\n { x: 0.234375, y: 0.421875 },\n { x: 0.234375, y: 0.421875 },\n { x: 0.265625, y: 0.421875 },\n { x: 0.265625, y: 0.421875 },\n { x: 0.296875, y: 0.421875 },\n { x: 0.296875, y: 0.421875 },\n { x: 0.328125, y: 0.421875 },\n { x: 0.328125, y: 0.421875 },\n { x: 0.359375, y: 0.421875 },\n { x: 0.359375, y: 0.421875 },\n { x: 0.390625, y: 0.421875 },\n { x: 0.390625, y: 0.421875 },\n { x: 0.421875, y: 0.421875 },\n { x: 0.421875, y: 0.421875 },\n { x: 0.453125, y: 0.421875 },\n { x: 0.453125, y: 0.421875 },\n { x: 0.484375, y: 0.421875 },\n { x: 0.484375, y: 0.421875 },\n { x: 0.515625, y: 0.421875 },\n { x: 0.515625, y: 0.421875 },\n { x: 0.546875, y: 0.421875 },\n { x: 0.546875, y: 0.421875 },\n { x: 0.578125, y: 0.421875 },\n { x: 0.578125, y: 0.421875 },\n { x: 0.609375, y: 0.421875 },\n { x: 0.609375, y: 0.421875 },\n { x: 0.640625, y: 0.421875 },\n { x: 0.640625, y: 0.421875 },\n { x: 0.671875, y: 0.421875 },\n { x: 0.671875, y: 0.421875 },\n { x: 0.703125, y: 0.421875 },\n { x: 0.703125, y: 0.421875 },\n { x: 0.734375, y: 0.421875 },\n { x: 0.734375, y: 0.421875 },\n { x: 0.765625, y: 0.421875 },\n { x: 0.765625, y: 0.421875 },\n { x: 0.796875, y: 0.421875 },\n { x: 0.796875, y: 0.421875 },\n { x: 0.828125, y: 0.421875 },\n { x: 0.828125, y: 0.421875 },\n { x: 0.859375, y: 0.421875 },\n { x: 0.859375, y: 0.421875 },\n { x: 0.890625, y: 0.421875 },\n { x: 0.890625, y: 0.421875 },\n { x: 0.921875, y: 0.421875 },\n { x: 0.921875, y: 0.421875 },\n { x: 0.953125, y: 0.421875 },\n { x: 0.953125, y: 0.421875 },\n { x: 0.984375, y: 0.421875 },\n { x: 0.984375, y: 0.421875 },\n { x: 0.015625, y: 0.453125 },\n { x: 0.015625, y: 0.453125 },\n { x: 0.046875, y: 0.453125 },\n { x: 0.046875, y: 0.453125 },\n { x: 0.078125, y: 0.453125 },\n { x: 0.078125, y: 0.453125 },\n { x: 0.109375, y: 0.453125 },\n { x: 0.109375, y: 0.453125 },\n { x: 0.140625, y: 0.453125 },\n { x: 0.140625, y: 0.453125 },\n { x: 0.171875, y: 0.453125 },\n { x: 0.171875, y: 0.453125 },\n { x: 0.203125, y: 0.453125 },\n { x: 0.203125, y: 0.453125 },\n { x: 0.234375, y: 0.453125 },\n { x: 0.234375, y: 0.453125 },\n { x: 0.265625, y: 0.453125 },\n { x: 0.265625, y: 0.453125 },\n { x: 0.296875, y: 0.453125 },\n { x: 0.296875, y: 0.453125 },\n { x: 0.328125, y: 0.453125 },\n { x: 0.328125, y: 0.453125 },\n { x: 0.359375, y: 0.453125 },\n { x: 0.359375, y: 0.453125 },\n { x: 0.390625, y: 0.453125 },\n { x: 0.390625, y: 0.453125 },\n { x: 0.421875, y: 0.453125 },\n { x: 0.421875, y: 0.453125 },\n { x: 0.453125, y: 0.453125 },\n { x: 0.453125, y: 0.453125 },\n { x: 0.484375, y: 0.453125 },\n { x: 0.484375, y: 0.453125 },\n { x: 0.515625, y: 0.453125 },\n { x: 0.515625, y: 0.453125 },\n { x: 0.546875, y: 0.453125 },\n { x: 0.546875, y: 0.453125 },\n { x: 0.578125, y: 0.453125 },\n { x: 0.578125, y: 0.453125 },\n { x: 0.609375, y: 0.453125 },\n { x: 0.609375, y: 0.453125 },\n { x: 0.640625, y: 0.453125 },\n { x: 0.640625, y: 0.453125 },\n { x: 0.671875, y: 0.453125 },\n { x: 0.671875, y: 0.453125 },\n { x: 0.703125, y: 0.453125 },\n { x: 0.703125, y: 0.453125 },\n { x: 0.734375, y: 0.453125 },\n { x: 0.734375, y: 0.453125 },\n { x: 0.765625, y: 0.453125 },\n { x: 0.765625, y: 0.453125 },\n { x: 0.796875, y: 0.453125 },\n { x: 0.796875, y: 0.453125 },\n { x: 0.828125, y: 0.453125 },\n { x: 0.828125, y: 0.453125 },\n { x: 0.859375, y: 0.453125 },\n { x: 0.859375, y: 0.453125 },\n { x: 0.890625, y: 0.453125 },\n { x: 0.890625, y: 0.453125 },\n { x: 0.921875, y: 0.453125 },\n { x: 0.921875, y: 0.453125 },\n { x: 0.953125, y: 0.453125 },\n { x: 0.953125, y: 0.453125 },\n { x: 0.984375, y: 0.453125 },\n { x: 0.984375, y: 0.453125 },\n { x: 0.015625, y: 0.484375 },\n { x: 0.015625, y: 0.484375 },\n { x: 0.046875, y: 0.484375 },\n { x: 0.046875, y: 0.484375 },\n { x: 0.078125, y: 0.484375 },\n { x: 0.078125, y: 0.484375 },\n { x: 0.109375, y: 0.484375 },\n { x: 0.109375, y: 0.484375 },\n { x: 0.140625, y: 0.484375 },\n { x: 0.140625, y: 0.484375 },\n { x: 0.171875, y: 0.484375 },\n { x: 0.171875, y: 0.484375 },\n { x: 0.203125, y: 0.484375 },\n { x: 0.203125, y: 0.484375 },\n { x: 0.234375, y: 0.484375 },\n { x: 0.234375, y: 0.484375 },\n { x: 0.265625, y: 0.484375 },\n { x: 0.265625, y: 0.484375 },\n { x: 0.296875, y: 0.484375 },\n { x: 0.296875, y: 0.484375 },\n { x: 0.328125, y: 0.484375 },\n { x: 0.328125, y: 0.484375 },\n { x: 0.359375, y: 0.484375 },\n { x: 0.359375, y: 0.484375 },\n { x: 0.390625, y: 0.484375 },\n { x: 0.390625, y: 0.484375 },\n { x: 0.421875, y: 0.484375 },\n { x: 0.421875, y: 0.484375 },\n { x: 0.453125, y: 0.484375 },\n { x: 0.453125, y: 0.484375 },\n { x: 0.484375, y: 0.484375 },\n { x: 0.484375, y: 0.484375 },\n { x: 0.515625, y: 0.484375 },\n { x: 0.515625, y: 0.484375 },\n { x: 0.546875, y: 0.484375 },\n { x: 0.546875, y: 0.484375 },\n { x: 0.578125, y: 0.484375 },\n { x: 0.578125, y: 0.484375 },\n { x: 0.609375, y: 0.484375 },\n { x: 0.609375, y: 0.484375 },\n { x: 0.640625, y: 0.484375 },\n { x: 0.640625, y: 0.484375 },\n { x: 0.671875, y: 0.484375 },\n { x: 0.671875, y: 0.484375 },\n { x: 0.703125, y: 0.484375 },\n { x: 0.703125, y: 0.484375 },\n { x: 0.734375, y: 0.484375 },\n { x: 0.734375, y: 0.484375 },\n { x: 0.765625, y: 0.484375 },\n { x: 0.765625, y: 0.484375 },\n { x: 0.796875, y: 0.484375 },\n { x: 0.796875, y: 0.484375 },\n { x: 0.828125, y: 0.484375 },\n { x: 0.828125, y: 0.484375 },\n { x: 0.859375, y: 0.484375 },\n { x: 0.859375, y: 0.484375 },\n { x: 0.890625, y: 0.484375 },\n { x: 0.890625, y: 0.484375 },\n { x: 0.921875, y: 0.484375 },\n { x: 0.921875, y: 0.484375 },\n { x: 0.953125, y: 0.484375 },\n { x: 0.953125, y: 0.484375 },\n { x: 0.984375, y: 0.484375 },\n { x: 0.984375, y: 0.484375 },\n { x: 0.015625, y: 0.515625 },\n { x: 0.015625, y: 0.515625 },\n { x: 0.046875, y: 0.515625 },\n { x: 0.046875, y: 0.515625 },\n { x: 0.078125, y: 0.515625 },\n { x: 0.078125, y: 0.515625 },\n { x: 0.109375, y: 0.515625 },\n { x: 0.109375, y: 0.515625 },\n { x: 0.140625, y: 0.515625 },\n { x: 0.140625, y: 0.515625 },\n { x: 0.171875, y: 0.515625 },\n { x: 0.171875, y: 0.515625 },\n { x: 0.203125, y: 0.515625 },\n { x: 0.203125, y: 0.515625 },\n { x: 0.234375, y: 0.515625 },\n { x: 0.234375, y: 0.515625 },\n { x: 0.265625, y: 0.515625 },\n { x: 0.265625, y: 0.515625 },\n { x: 0.296875, y: 0.515625 },\n { x: 0.296875, y: 0.515625 },\n { x: 0.328125, y: 0.515625 },\n { x: 0.328125, y: 0.515625 },\n { x: 0.359375, y: 0.515625 },\n { x: 0.359375, y: 0.515625 },\n { x: 0.390625, y: 0.515625 },\n { x: 0.390625, y: 0.515625 },\n { x: 0.421875, y: 0.515625 },\n { x: 0.421875, y: 0.515625 },\n { x: 0.453125, y: 0.515625 },\n { x: 0.453125, y: 0.515625 },\n { x: 0.484375, y: 0.515625 },\n { x: 0.484375, y: 0.515625 },\n { x: 0.515625, y: 0.515625 },\n { x: 0.515625, y: 0.515625 },\n { x: 0.546875, y: 0.515625 },\n { x: 0.546875, y: 0.515625 },\n { x: 0.578125, y: 0.515625 },\n { x: 0.578125, y: 0.515625 },\n { x: 0.609375, y: 0.515625 },\n { x: 0.609375, y: 0.515625 },\n { x: 0.640625, y: 0.515625 },\n { x: 0.640625, y: 0.515625 },\n { x: 0.671875, y: 0.515625 },\n { x: 0.671875, y: 0.515625 },\n { x: 0.703125, y: 0.515625 },\n { x: 0.703125, y: 0.515625 },\n { x: 0.734375, y: 0.515625 },\n { x: 0.734375, y: 0.515625 },\n { x: 0.765625, y: 0.515625 },\n { x: 0.765625, y: 0.515625 },\n { x: 0.796875, y: 0.515625 },\n { x: 0.796875, y: 0.515625 },\n { x: 0.828125, y: 0.515625 },\n { x: 0.828125, y: 0.515625 },\n { x: 0.859375, y: 0.515625 },\n { x: 0.859375, y: 0.515625 },\n { x: 0.890625, y: 0.515625 },\n { x: 0.890625, y: 0.515625 },\n { x: 0.921875, y: 0.515625 },\n { x: 0.921875, y: 0.515625 },\n { x: 0.953125, y: 0.515625 },\n { x: 0.953125, y: 0.515625 },\n { x: 0.984375, y: 0.515625 },\n { x: 0.984375, y: 0.515625 },\n { x: 0.015625, y: 0.546875 },\n { x: 0.015625, y: 0.546875 },\n { x: 0.046875, y: 0.546875 },\n { x: 0.046875, y: 0.546875 },\n { x: 0.078125, y: 0.546875 },\n { x: 0.078125, y: 0.546875 },\n { x: 0.109375, y: 0.546875 },\n { x: 0.109375, y: 0.546875 },\n { x: 0.140625, y: 0.546875 },\n { x: 0.140625, y: 0.546875 },\n { x: 0.171875, y: 0.546875 },\n { x: 0.171875, y: 0.546875 },\n { x: 0.203125, y: 0.546875 },\n { x: 0.203125, y: 0.546875 },\n { x: 0.234375, y: 0.546875 },\n { x: 0.234375, y: 0.546875 },\n { x: 0.265625, y: 0.546875 },\n { x: 0.265625, y: 0.546875 },\n { x: 0.296875, y: 0.546875 },\n { x: 0.296875, y: 0.546875 },\n { x: 0.328125, y: 0.546875 },\n { x: 0.328125, y: 0.546875 },\n { x: 0.359375, y: 0.546875 },\n { x: 0.359375, y: 0.546875 },\n { x: 0.390625, y: 0.546875 },\n { x: 0.390625, y: 0.546875 },\n { x: 0.421875, y: 0.546875 },\n { x: 0.421875, y: 0.546875 },\n { x: 0.453125, y: 0.546875 },\n { x: 0.453125, y: 0.546875 },\n { x: 0.484375, y: 0.546875 },\n { x: 0.484375, y: 0.546875 },\n { x: 0.515625, y: 0.546875 },\n { x: 0.515625, y: 0.546875 },\n { x: 0.546875, y: 0.546875 },\n { x: 0.546875, y: 0.546875 },\n { x: 0.578125, y: 0.546875 },\n { x: 0.578125, y: 0.546875 },\n { x: 0.609375, y: 0.546875 },\n { x: 0.609375, y: 0.546875 },\n { x: 0.640625, y: 0.546875 },\n { x: 0.640625, y: 0.546875 },\n { x: 0.671875, y: 0.546875 },\n { x: 0.671875, y: 0.546875 },\n { x: 0.703125, y: 0.546875 },\n { x: 0.703125, y: 0.546875 },\n { x: 0.734375, y: 0.546875 },\n { x: 0.734375, y: 0.546875 },\n { x: 0.765625, y: 0.546875 },\n { x: 0.765625, y: 0.546875 },\n { x: 0.796875, y: 0.546875 },\n { x: 0.796875, y: 0.546875 },\n { x: 0.828125, y: 0.546875 },\n { x: 0.828125, y: 0.546875 },\n { x: 0.859375, y: 0.546875 },\n { x: 0.859375, y: 0.546875 },\n { x: 0.890625, y: 0.546875 },\n { x: 0.890625, y: 0.546875 },\n { x: 0.921875, y: 0.546875 },\n { x: 0.921875, y: 0.546875 },\n { x: 0.953125, y: 0.546875 },\n { x: 0.953125, y: 0.546875 },\n { x: 0.984375, y: 0.546875 },\n { x: 0.984375, y: 0.546875 },\n { x: 0.015625, y: 0.578125 },\n { x: 0.015625, y: 0.578125 },\n { x: 0.046875, y: 0.578125 },\n { x: 0.046875, y: 0.578125 },\n { x: 0.078125, y: 0.578125 },\n { x: 0.078125, y: 0.578125 },\n { x: 0.109375, y: 0.578125 },\n { x: 0.109375, y: 0.578125 },\n { x: 0.140625, y: 0.578125 },\n { x: 0.140625, y: 0.578125 },\n { x: 0.171875, y: 0.578125 },\n { x: 0.171875, y: 0.578125 },\n { x: 0.203125, y: 0.578125 },\n { x: 0.203125, y: 0.578125 },\n { x: 0.234375, y: 0.578125 },\n { x: 0.234375, y: 0.578125 },\n { x: 0.265625, y: 0.578125 },\n { x: 0.265625, y: 0.578125 },\n { x: 0.296875, y: 0.578125 },\n { x: 0.296875, y: 0.578125 },\n { x: 0.328125, y: 0.578125 },\n { x: 0.328125, y: 0.578125 },\n { x: 0.359375, y: 0.578125 },\n { x: 0.359375, y: 0.578125 },\n { x: 0.390625, y: 0.578125 },\n { x: 0.390625, y: 0.578125 },\n { x: 0.421875, y: 0.578125 },\n { x: 0.421875, y: 0.578125 },\n { x: 0.453125, y: 0.578125 },\n { x: 0.453125, y: 0.578125 },\n { x: 0.484375, y: 0.578125 },\n { x: 0.484375, y: 0.578125 },\n { x: 0.515625, y: 0.578125 },\n { x: 0.515625, y: 0.578125 },\n { x: 0.546875, y: 0.578125 },\n { x: 0.546875, y: 0.578125 },\n { x: 0.578125, y: 0.578125 },\n { x: 0.578125, y: 0.578125 },\n { x: 0.609375, y: 0.578125 },\n { x: 0.609375, y: 0.578125 },\n { x: 0.640625, y: 0.578125 },\n { x: 0.640625, y: 0.578125 },\n { x: 0.671875, y: 0.578125 },\n { x: 0.671875, y: 0.578125 },\n { x: 0.703125, y: 0.578125 },\n { x: 0.703125, y: 0.578125 },\n { x: 0.734375, y: 0.578125 },\n { x: 0.734375, y: 0.578125 },\n { x: 0.765625, y: 0.578125 },\n { x: 0.765625, y: 0.578125 },\n { x: 0.796875, y: 0.578125 },\n { x: 0.796875, y: 0.578125 },\n { x: 0.828125, y: 0.578125 },\n { x: 0.828125, y: 0.578125 },\n { x: 0.859375, y: 0.578125 },\n { x: 0.859375, y: 0.578125 },\n { x: 0.890625, y: 0.578125 },\n { x: 0.890625, y: 0.578125 },\n { x: 0.921875, y: 0.578125 },\n { x: 0.921875, y: 0.578125 },\n { x: 0.953125, y: 0.578125 },\n { x: 0.953125, y: 0.578125 },\n { x: 0.984375, y: 0.578125 },\n { x: 0.984375, y: 0.578125 },\n { x: 0.015625, y: 0.609375 },\n { x: 0.015625, y: 0.609375 },\n { x: 0.046875, y: 0.609375 },\n { x: 0.046875, y: 0.609375 },\n { x: 0.078125, y: 0.609375 },\n { x: 0.078125, y: 0.609375 },\n { x: 0.109375, y: 0.609375 },\n { x: 0.109375, y: 0.609375 },\n { x: 0.140625, y: 0.609375 },\n { x: 0.140625, y: 0.609375 },\n { x: 0.171875, y: 0.609375 },\n { x: 0.171875, y: 0.609375 },\n { x: 0.203125, y: 0.609375 },\n { x: 0.203125, y: 0.609375 },\n { x: 0.234375, y: 0.609375 },\n { x: 0.234375, y: 0.609375 },\n { x: 0.265625, y: 0.609375 },\n { x: 0.265625, y: 0.609375 },\n { x: 0.296875, y: 0.609375 },\n { x: 0.296875, y: 0.609375 },\n { x: 0.328125, y: 0.609375 },\n { x: 0.328125, y: 0.609375 },\n { x: 0.359375, y: 0.609375 },\n { x: 0.359375, y: 0.609375 },\n { x: 0.390625, y: 0.609375 },\n { x: 0.390625, y: 0.609375 },\n { x: 0.421875, y: 0.609375 },\n { x: 0.421875, y: 0.609375 },\n { x: 0.453125, y: 0.609375 },\n { x: 0.453125, y: 0.609375 },\n { x: 0.484375, y: 0.609375 },\n { x: 0.484375, y: 0.609375 },\n { x: 0.515625, y: 0.609375 },\n { x: 0.515625, y: 0.609375 },\n { x: 0.546875, y: 0.609375 },\n { x: 0.546875, y: 0.609375 },\n { x: 0.578125, y: 0.609375 },\n { x: 0.578125, y: 0.609375 },\n { x: 0.609375, y: 0.609375 },\n { x: 0.609375, y: 0.609375 },\n { x: 0.640625, y: 0.609375 },\n { x: 0.640625, y: 0.609375 },\n { x: 0.671875, y: 0.609375 },\n { x: 0.671875, y: 0.609375 },\n { x: 0.703125, y: 0.609375 },\n { x: 0.703125, y: 0.609375 },\n { x: 0.734375, y: 0.609375 },\n { x: 0.734375, y: 0.609375 },\n { x: 0.765625, y: 0.609375 },\n { x: 0.765625, y: 0.609375 },\n { x: 0.796875, y: 0.609375 },\n { x: 0.796875, y: 0.609375 },\n { x: 0.828125, y: 0.609375 },\n { x: 0.828125, y: 0.609375 },\n { x: 0.859375, y: 0.609375 },\n { x: 0.859375, y: 0.609375 },\n { x: 0.890625, y: 0.609375 },\n { x: 0.890625, y: 0.609375 },\n { x: 0.921875, y: 0.609375 },\n { x: 0.921875, y: 0.609375 },\n { x: 0.953125, y: 0.609375 },\n { x: 0.953125, y: 0.609375 },\n { x: 0.984375, y: 0.609375 },\n { x: 0.984375, y: 0.609375 },\n { x: 0.015625, y: 0.640625 },\n { x: 0.015625, y: 0.640625 },\n { x: 0.046875, y: 0.640625 },\n { x: 0.046875, y: 0.640625 },\n { x: 0.078125, y: 0.640625 },\n { x: 0.078125, y: 0.640625 },\n { x: 0.109375, y: 0.640625 },\n { x: 0.109375, y: 0.640625 },\n { x: 0.140625, y: 0.640625 },\n { x: 0.140625, y: 0.640625 },\n { x: 0.171875, y: 0.640625 },\n { x: 0.171875, y: 0.640625 },\n { x: 0.203125, y: 0.640625 },\n { x: 0.203125, y: 0.640625 },\n { x: 0.234375, y: 0.640625 },\n { x: 0.234375, y: 0.640625 },\n { x: 0.265625, y: 0.640625 },\n { x: 0.265625, y: 0.640625 },\n { x: 0.296875, y: 0.640625 },\n { x: 0.296875, y: 0.640625 },\n { x: 0.328125, y: 0.640625 },\n { x: 0.328125, y: 0.640625 },\n { x: 0.359375, y: 0.640625 },\n { x: 0.359375, y: 0.640625 },\n { x: 0.390625, y: 0.640625 },\n { x: 0.390625, y: 0.640625 },\n { x: 0.421875, y: 0.640625 },\n { x: 0.421875, y: 0.640625 },\n { x: 0.453125, y: 0.640625 },\n { x: 0.453125, y: 0.640625 },\n { x: 0.484375, y: 0.640625 },\n { x: 0.484375, y: 0.640625 },\n { x: 0.515625, y: 0.640625 },\n { x: 0.515625, y: 0.640625 },\n { x: 0.546875, y: 0.640625 },\n { x: 0.546875, y: 0.640625 },\n { x: 0.578125, y: 0.640625 },\n { x: 0.578125, y: 0.640625 },\n { x: 0.609375, y: 0.640625 },\n { x: 0.609375, y: 0.640625 },\n { x: 0.640625, y: 0.640625 },\n { x: 0.640625, y: 0.640625 },\n { x: 0.671875, y: 0.640625 },\n { x: 0.671875, y: 0.640625 },\n { x: 0.703125, y: 0.640625 },\n { x: 0.703125, y: 0.640625 },\n { x: 0.734375, y: 0.640625 },\n { x: 0.734375, y: 0.640625 },\n { x: 0.765625, y: 0.640625 },\n { x: 0.765625, y: 0.640625 },\n { x: 0.796875, y: 0.640625 },\n { x: 0.796875, y: 0.640625 },\n { x: 0.828125, y: 0.640625 },\n { x: 0.828125, y: 0.640625 },\n { x: 0.859375, y: 0.640625 },\n { x: 0.859375, y: 0.640625 },\n { x: 0.890625, y: 0.640625 },\n { x: 0.890625, y: 0.640625 },\n { x: 0.921875, y: 0.640625 },\n { x: 0.921875, y: 0.640625 },\n { x: 0.953125, y: 0.640625 },\n { x: 0.953125, y: 0.640625 },\n { x: 0.984375, y: 0.640625 },\n { x: 0.984375, y: 0.640625 },\n { x: 0.015625, y: 0.671875 },\n { x: 0.015625, y: 0.671875 },\n { x: 0.046875, y: 0.671875 },\n { x: 0.046875, y: 0.671875 },\n { x: 0.078125, y: 0.671875 },\n { x: 0.078125, y: 0.671875 },\n { x: 0.109375, y: 0.671875 },\n { x: 0.109375, y: 0.671875 },\n { x: 0.140625, y: 0.671875 },\n { x: 0.140625, y: 0.671875 },\n { x: 0.171875, y: 0.671875 },\n { x: 0.171875, y: 0.671875 },\n { x: 0.203125, y: 0.671875 },\n { x: 0.203125, y: 0.671875 },\n { x: 0.234375, y: 0.671875 },\n { x: 0.234375, y: 0.671875 },\n { x: 0.265625, y: 0.671875 },\n { x: 0.265625, y: 0.671875 },\n { x: 0.296875, y: 0.671875 },\n { x: 0.296875, y: 0.671875 },\n { x: 0.328125, y: 0.671875 },\n { x: 0.328125, y: 0.671875 },\n { x: 0.359375, y: 0.671875 },\n { x: 0.359375, y: 0.671875 },\n { x: 0.390625, y: 0.671875 },\n { x: 0.390625, y: 0.671875 },\n { x: 0.421875, y: 0.671875 },\n { x: 0.421875, y: 0.671875 },\n { x: 0.453125, y: 0.671875 },\n { x: 0.453125, y: 0.671875 },\n { x: 0.484375, y: 0.671875 },\n { x: 0.484375, y: 0.671875 },\n { x: 0.515625, y: 0.671875 },\n { x: 0.515625, y: 0.671875 },\n { x: 0.546875, y: 0.671875 },\n { x: 0.546875, y: 0.671875 },\n { x: 0.578125, y: 0.671875 },\n { x: 0.578125, y: 0.671875 },\n { x: 0.609375, y: 0.671875 },\n { x: 0.609375, y: 0.671875 },\n { x: 0.640625, y: 0.671875 },\n { x: 0.640625, y: 0.671875 },\n { x: 0.671875, y: 0.671875 },\n { x: 0.671875, y: 0.671875 },\n { x: 0.703125, y: 0.671875 },\n { x: 0.703125, y: 0.671875 },\n { x: 0.734375, y: 0.671875 },\n { x: 0.734375, y: 0.671875 },\n { x: 0.765625, y: 0.671875 },\n { x: 0.765625, y: 0.671875 },\n { x: 0.796875, y: 0.671875 },\n { x: 0.796875, y: 0.671875 },\n { x: 0.828125, y: 0.671875 },\n { x: 0.828125, y: 0.671875 },\n { x: 0.859375, y: 0.671875 },\n { x: 0.859375, y: 0.671875 },\n { x: 0.890625, y: 0.671875 },\n { x: 0.890625, y: 0.671875 },\n { x: 0.921875, y: 0.671875 },\n { x: 0.921875, y: 0.671875 },\n { x: 0.953125, y: 0.671875 },\n { x: 0.953125, y: 0.671875 },\n { x: 0.984375, y: 0.671875 },\n { x: 0.984375, y: 0.671875 },\n { x: 0.015625, y: 0.703125 },\n { x: 0.015625, y: 0.703125 },\n { x: 0.046875, y: 0.703125 },\n { x: 0.046875, y: 0.703125 },\n { x: 0.078125, y: 0.703125 },\n { x: 0.078125, y: 0.703125 },\n { x: 0.109375, y: 0.703125 },\n { x: 0.109375, y: 0.703125 },\n { x: 0.140625, y: 0.703125 },\n { x: 0.140625, y: 0.703125 },\n { x: 0.171875, y: 0.703125 },\n { x: 0.171875, y: 0.703125 },\n { x: 0.203125, y: 0.703125 },\n { x: 0.203125, y: 0.703125 },\n { x: 0.234375, y: 0.703125 },\n { x: 0.234375, y: 0.703125 },\n { x: 0.265625, y: 0.703125 },\n { x: 0.265625, y: 0.703125 },\n { x: 0.296875, y: 0.703125 },\n { x: 0.296875, y: 0.703125 },\n { x: 0.328125, y: 0.703125 },\n { x: 0.328125, y: 0.703125 },\n { x: 0.359375, y: 0.703125 },\n { x: 0.359375, y: 0.703125 },\n { x: 0.390625, y: 0.703125 },\n { x: 0.390625, y: 0.703125 },\n { x: 0.421875, y: 0.703125 },\n { x: 0.421875, y: 0.703125 },\n { x: 0.453125, y: 0.703125 },\n { x: 0.453125, y: 0.703125 },\n { x: 0.484375, y: 0.703125 },\n { x: 0.484375, y: 0.703125 },\n { x: 0.515625, y: 0.703125 },\n { x: 0.515625, y: 0.703125 },\n { x: 0.546875, y: 0.703125 },\n { x: 0.546875, y: 0.703125 },\n { x: 0.578125, y: 0.703125 },\n { x: 0.578125, y: 0.703125 },\n { x: 0.609375, y: 0.703125 },\n { x: 0.609375, y: 0.703125 },\n { x: 0.640625, y: 0.703125 },\n { x: 0.640625, y: 0.703125 },\n { x: 0.671875, y: 0.703125 },\n { x: 0.671875, y: 0.703125 },\n { x: 0.703125, y: 0.703125 },\n { x: 0.703125, y: 0.703125 },\n { x: 0.734375, y: 0.703125 },\n { x: 0.734375, y: 0.703125 },\n { x: 0.765625, y: 0.703125 },\n { x: 0.765625, y: 0.703125 },\n { x: 0.796875, y: 0.703125 },\n { x: 0.796875, y: 0.703125 },\n { x: 0.828125, y: 0.703125 },\n { x: 0.828125, y: 0.703125 },\n { x: 0.859375, y: 0.703125 },\n { x: 0.859375, y: 0.703125 },\n { x: 0.890625, y: 0.703125 },\n { x: 0.890625, y: 0.703125 },\n { x: 0.921875, y: 0.703125 },\n { x: 0.921875, y: 0.703125 },\n { x: 0.953125, y: 0.703125 },\n { x: 0.953125, y: 0.703125 },\n { x: 0.984375, y: 0.703125 },\n { x: 0.984375, y: 0.703125 },\n { x: 0.015625, y: 0.734375 },\n { x: 0.015625, y: 0.734375 },\n { x: 0.046875, y: 0.734375 },\n { x: 0.046875, y: 0.734375 },\n { x: 0.078125, y: 0.734375 },\n { x: 0.078125, y: 0.734375 },\n { x: 0.109375, y: 0.734375 },\n { x: 0.109375, y: 0.734375 },\n { x: 0.140625, y: 0.734375 },\n { x: 0.140625, y: 0.734375 },\n { x: 0.171875, y: 0.734375 },\n { x: 0.171875, y: 0.734375 },\n { x: 0.203125, y: 0.734375 },\n { x: 0.203125, y: 0.734375 },\n { x: 0.234375, y: 0.734375 },\n { x: 0.234375, y: 0.734375 },\n { x: 0.265625, y: 0.734375 },\n { x: 0.265625, y: 0.734375 },\n { x: 0.296875, y: 0.734375 },\n { x: 0.296875, y: 0.734375 },\n { x: 0.328125, y: 0.734375 },\n { x: 0.328125, y: 0.734375 },\n { x: 0.359375, y: 0.734375 },\n { x: 0.359375, y: 0.734375 },\n { x: 0.390625, y: 0.734375 },\n { x: 0.390625, y: 0.734375 },\n { x: 0.421875, y: 0.734375 },\n { x: 0.421875, y: 0.734375 },\n { x: 0.453125, y: 0.734375 },\n { x: 0.453125, y: 0.734375 },\n { x: 0.484375, y: 0.734375 },\n { x: 0.484375, y: 0.734375 },\n { x: 0.515625, y: 0.734375 },\n { x: 0.515625, y: 0.734375 },\n { x: 0.546875, y: 0.734375 },\n { x: 0.546875, y: 0.734375 },\n { x: 0.578125, y: 0.734375 },\n { x: 0.578125, y: 0.734375 },\n { x: 0.609375, y: 0.734375 },\n { x: 0.609375, y: 0.734375 },\n { x: 0.640625, y: 0.734375 },\n { x: 0.640625, y: 0.734375 },\n { x: 0.671875, y: 0.734375 },\n { x: 0.671875, y: 0.734375 },\n { x: 0.703125, y: 0.734375 },\n { x: 0.703125, y: 0.734375 },\n { x: 0.734375, y: 0.734375 },\n { x: 0.734375, y: 0.734375 },\n { x: 0.765625, y: 0.734375 },\n { x: 0.765625, y: 0.734375 },\n { x: 0.796875, y: 0.734375 },\n { x: 0.796875, y: 0.734375 },\n { x: 0.828125, y: 0.734375 },\n { x: 0.828125, y: 0.734375 },\n { x: 0.859375, y: 0.734375 },\n { x: 0.859375, y: 0.734375 },\n { x: 0.890625, y: 0.734375 },\n { x: 0.890625, y: 0.734375 },\n { x: 0.921875, y: 0.734375 },\n { x: 0.921875, y: 0.734375 },\n { x: 0.953125, y: 0.734375 },\n { x: 0.953125, y: 0.734375 },\n { x: 0.984375, y: 0.734375 },\n { x: 0.984375, y: 0.734375 },\n { x: 0.015625, y: 0.765625 },\n { x: 0.015625, y: 0.765625 },\n { x: 0.046875, y: 0.765625 },\n { x: 0.046875, y: 0.765625 },\n { x: 0.078125, y: 0.765625 },\n { x: 0.078125, y: 0.765625 },\n { x: 0.109375, y: 0.765625 },\n { x: 0.109375, y: 0.765625 },\n { x: 0.140625, y: 0.765625 },\n { x: 0.140625, y: 0.765625 },\n { x: 0.171875, y: 0.765625 },\n { x: 0.171875, y: 0.765625 },\n { x: 0.203125, y: 0.765625 },\n { x: 0.203125, y: 0.765625 },\n { x: 0.234375, y: 0.765625 },\n { x: 0.234375, y: 0.765625 },\n { x: 0.265625, y: 0.765625 },\n { x: 0.265625, y: 0.765625 },\n { x: 0.296875, y: 0.765625 },\n { x: 0.296875, y: 0.765625 },\n { x: 0.328125, y: 0.765625 },\n { x: 0.328125, y: 0.765625 },\n { x: 0.359375, y: 0.765625 },\n { x: 0.359375, y: 0.765625 },\n { x: 0.390625, y: 0.765625 },\n { x: 0.390625, y: 0.765625 },\n { x: 0.421875, y: 0.765625 },\n { x: 0.421875, y: 0.765625 },\n { x: 0.453125, y: 0.765625 },\n { x: 0.453125, y: 0.765625 },\n { x: 0.484375, y: 0.765625 },\n { x: 0.484375, y: 0.765625 },\n { x: 0.515625, y: 0.765625 },\n { x: 0.515625, y: 0.765625 },\n { x: 0.546875, y: 0.765625 },\n { x: 0.546875, y: 0.765625 },\n { x: 0.578125, y: 0.765625 },\n { x: 0.578125, y: 0.765625 },\n { x: 0.609375, y: 0.765625 },\n { x: 0.609375, y: 0.765625 },\n { x: 0.640625, y: 0.765625 },\n { x: 0.640625, y: 0.765625 },\n { x: 0.671875, y: 0.765625 },\n { x: 0.671875, y: 0.765625 },\n { x: 0.703125, y: 0.765625 },\n { x: 0.703125, y: 0.765625 },\n { x: 0.734375, y: 0.765625 },\n { x: 0.734375, y: 0.765625 },\n { x: 0.765625, y: 0.765625 },\n { x: 0.765625, y: 0.765625 },\n { x: 0.796875, y: 0.765625 },\n { x: 0.796875, y: 0.765625 },\n { x: 0.828125, y: 0.765625 },\n { x: 0.828125, y: 0.765625 },\n { x: 0.859375, y: 0.765625 },\n { x: 0.859375, y: 0.765625 },\n { x: 0.890625, y: 0.765625 },\n { x: 0.890625, y: 0.765625 },\n { x: 0.921875, y: 0.765625 },\n { x: 0.921875, y: 0.765625 },\n { x: 0.953125, y: 0.765625 },\n { x: 0.953125, y: 0.765625 },\n { x: 0.984375, y: 0.765625 },\n { x: 0.984375, y: 0.765625 },\n { x: 0.015625, y: 0.796875 },\n { x: 0.015625, y: 0.796875 },\n { x: 0.046875, y: 0.796875 },\n { x: 0.046875, y: 0.796875 },\n { x: 0.078125, y: 0.796875 },\n { x: 0.078125, y: 0.796875 },\n { x: 0.109375, y: 0.796875 },\n { x: 0.109375, y: 0.796875 },\n { x: 0.140625, y: 0.796875 },\n { x: 0.140625, y: 0.796875 },\n { x: 0.171875, y: 0.796875 },\n { x: 0.171875, y: 0.796875 },\n { x: 0.203125, y: 0.796875 },\n { x: 0.203125, y: 0.796875 },\n { x: 0.234375, y: 0.796875 },\n { x: 0.234375, y: 0.796875 },\n { x: 0.265625, y: 0.796875 },\n { x: 0.265625, y: 0.796875 },\n { x: 0.296875, y: 0.796875 },\n { x: 0.296875, y: 0.796875 },\n { x: 0.328125, y: 0.796875 },\n { x: 0.328125, y: 0.796875 },\n { x: 0.359375, y: 0.796875 },\n { x: 0.359375, y: 0.796875 },\n { x: 0.390625, y: 0.796875 },\n { x: 0.390625, y: 0.796875 },\n { x: 0.421875, y: 0.796875 },\n { x: 0.421875, y: 0.796875 },\n { x: 0.453125, y: 0.796875 },\n { x: 0.453125, y: 0.796875 },\n { x: 0.484375, y: 0.796875 },\n { x: 0.484375, y: 0.796875 },\n { x: 0.515625, y: 0.796875 },\n { x: 0.515625, y: 0.796875 },\n { x: 0.546875, y: 0.796875 },\n { x: 0.546875, y: 0.796875 },\n { x: 0.578125, y: 0.796875 },\n { x: 0.578125, y: 0.796875 },\n { x: 0.609375, y: 0.796875 },\n { x: 0.609375, y: 0.796875 },\n { x: 0.640625, y: 0.796875 },\n { x: 0.640625, y: 0.796875 },\n { x: 0.671875, y: 0.796875 },\n { x: 0.671875, y: 0.796875 },\n { x: 0.703125, y: 0.796875 },\n { x: 0.703125, y: 0.796875 },\n { x: 0.734375, y: 0.796875 },\n { x: 0.734375, y: 0.796875 },\n { x: 0.765625, y: 0.796875 },\n { x: 0.765625, y: 0.796875 },\n { x: 0.796875, y: 0.796875 },\n { x: 0.796875, y: 0.796875 },\n { x: 0.828125, y: 0.796875 },\n { x: 0.828125, y: 0.796875 },\n { x: 0.859375, y: 0.796875 },\n { x: 0.859375, y: 0.796875 },\n { x: 0.890625, y: 0.796875 },\n { x: 0.890625, y: 0.796875 },\n { x: 0.921875, y: 0.796875 },\n { x: 0.921875, y: 0.796875 },\n { x: 0.953125, y: 0.796875 },\n { x: 0.953125, y: 0.796875 },\n { x: 0.984375, y: 0.796875 },\n { x: 0.984375, y: 0.796875 },\n { x: 0.015625, y: 0.828125 },\n { x: 0.015625, y: 0.828125 },\n { x: 0.046875, y: 0.828125 },\n { x: 0.046875, y: 0.828125 },\n { x: 0.078125, y: 0.828125 },\n { x: 0.078125, y: 0.828125 },\n { x: 0.109375, y: 0.828125 },\n { x: 0.109375, y: 0.828125 },\n { x: 0.140625, y: 0.828125 },\n { x: 0.140625, y: 0.828125 },\n { x: 0.171875, y: 0.828125 },\n { x: 0.171875, y: 0.828125 },\n { x: 0.203125, y: 0.828125 },\n { x: 0.203125, y: 0.828125 },\n { x: 0.234375, y: 0.828125 },\n { x: 0.234375, y: 0.828125 },\n { x: 0.265625, y: 0.828125 },\n { x: 0.265625, y: 0.828125 },\n { x: 0.296875, y: 0.828125 },\n { x: 0.296875, y: 0.828125 },\n { x: 0.328125, y: 0.828125 },\n { x: 0.328125, y: 0.828125 },\n { x: 0.359375, y: 0.828125 },\n { x: 0.359375, y: 0.828125 },\n { x: 0.390625, y: 0.828125 },\n { x: 0.390625, y: 0.828125 },\n { x: 0.421875, y: 0.828125 },\n { x: 0.421875, y: 0.828125 },\n { x: 0.453125, y: 0.828125 },\n { x: 0.453125, y: 0.828125 },\n { x: 0.484375, y: 0.828125 },\n { x: 0.484375, y: 0.828125 },\n { x: 0.515625, y: 0.828125 },\n { x: 0.515625, y: 0.828125 },\n { x: 0.546875, y: 0.828125 },\n { x: 0.546875, y: 0.828125 },\n { x: 0.578125, y: 0.828125 },\n { x: 0.578125, y: 0.828125 },\n { x: 0.609375, y: 0.828125 },\n { x: 0.609375, y: 0.828125 },\n { x: 0.640625, y: 0.828125 },\n { x: 0.640625, y: 0.828125 },\n { x: 0.671875, y: 0.828125 },\n { x: 0.671875, y: 0.828125 },\n { x: 0.703125, y: 0.828125 },\n { x: 0.703125, y: 0.828125 },\n { x: 0.734375, y: 0.828125 },\n { x: 0.734375, y: 0.828125 },\n { x: 0.765625, y: 0.828125 },\n { x: 0.765625, y: 0.828125 },\n { x: 0.796875, y: 0.828125 },\n { x: 0.796875, y: 0.828125 },\n { x: 0.828125, y: 0.828125 },\n { x: 0.828125, y: 0.828125 },\n { x: 0.859375, y: 0.828125 },\n { x: 0.859375, y: 0.828125 },\n { x: 0.890625, y: 0.828125 },\n { x: 0.890625, y: 0.828125 },\n { x: 0.921875, y: 0.828125 },\n { x: 0.921875, y: 0.828125 },\n { x: 0.953125, y: 0.828125 },\n { x: 0.953125, y: 0.828125 },\n { x: 0.984375, y: 0.828125 },\n { x: 0.984375, y: 0.828125 },\n { x: 0.015625, y: 0.859375 },\n { x: 0.015625, y: 0.859375 },\n { x: 0.046875, y: 0.859375 },\n { x: 0.046875, y: 0.859375 },\n { x: 0.078125, y: 0.859375 },\n { x: 0.078125, y: 0.859375 },\n { x: 0.109375, y: 0.859375 },\n { x: 0.109375, y: 0.859375 },\n { x: 0.140625, y: 0.859375 },\n { x: 0.140625, y: 0.859375 },\n { x: 0.171875, y: 0.859375 },\n { x: 0.171875, y: 0.859375 },\n { x: 0.203125, y: 0.859375 },\n { x: 0.203125, y: 0.859375 },\n { x: 0.234375, y: 0.859375 },\n { x: 0.234375, y: 0.859375 },\n { x: 0.265625, y: 0.859375 },\n { x: 0.265625, y: 0.859375 },\n { x: 0.296875, y: 0.859375 },\n { x: 0.296875, y: 0.859375 },\n { x: 0.328125, y: 0.859375 },\n { x: 0.328125, y: 0.859375 },\n { x: 0.359375, y: 0.859375 },\n { x: 0.359375, y: 0.859375 },\n { x: 0.390625, y: 0.859375 },\n { x: 0.390625, y: 0.859375 },\n { x: 0.421875, y: 0.859375 },\n { x: 0.421875, y: 0.859375 },\n { x: 0.453125, y: 0.859375 },\n { x: 0.453125, y: 0.859375 },\n { x: 0.484375, y: 0.859375 },\n { x: 0.484375, y: 0.859375 },\n { x: 0.515625, y: 0.859375 },\n { x: 0.515625, y: 0.859375 },\n { x: 0.546875, y: 0.859375 },\n { x: 0.546875, y: 0.859375 },\n { x: 0.578125, y: 0.859375 },\n { x: 0.578125, y: 0.859375 },\n { x: 0.609375, y: 0.859375 },\n { x: 0.609375, y: 0.859375 },\n { x: 0.640625, y: 0.859375 },\n { x: 0.640625, y: 0.859375 },\n { x: 0.671875, y: 0.859375 },\n { x: 0.671875, y: 0.859375 },\n { x: 0.703125, y: 0.859375 },\n { x: 0.703125, y: 0.859375 },\n { x: 0.734375, y: 0.859375 },\n { x: 0.734375, y: 0.859375 },\n { x: 0.765625, y: 0.859375 },\n { x: 0.765625, y: 0.859375 },\n { x: 0.796875, y: 0.859375 },\n { x: 0.796875, y: 0.859375 },\n { x: 0.828125, y: 0.859375 },\n { x: 0.828125, y: 0.859375 },\n { x: 0.859375, y: 0.859375 },\n { x: 0.859375, y: 0.859375 },\n { x: 0.890625, y: 0.859375 },\n { x: 0.890625, y: 0.859375 },\n { x: 0.921875, y: 0.859375 },\n { x: 0.921875, y: 0.859375 },\n { x: 0.953125, y: 0.859375 },\n { x: 0.953125, y: 0.859375 },\n { x: 0.984375, y: 0.859375 },\n { x: 0.984375, y: 0.859375 },\n { x: 0.015625, y: 0.890625 },\n { x: 0.015625, y: 0.890625 },\n { x: 0.046875, y: 0.890625 },\n { x: 0.046875, y: 0.890625 },\n { x: 0.078125, y: 0.890625 },\n { x: 0.078125, y: 0.890625 },\n { x: 0.109375, y: 0.890625 },\n { x: 0.109375, y: 0.890625 },\n { x: 0.140625, y: 0.890625 },\n { x: 0.140625, y: 0.890625 },\n { x: 0.171875, y: 0.890625 },\n { x: 0.171875, y: 0.890625 },\n { x: 0.203125, y: 0.890625 },\n { x: 0.203125, y: 0.890625 },\n { x: 0.234375, y: 0.890625 },\n { x: 0.234375, y: 0.890625 },\n { x: 0.265625, y: 0.890625 },\n { x: 0.265625, y: 0.890625 },\n { x: 0.296875, y: 0.890625 },\n { x: 0.296875, y: 0.890625 },\n { x: 0.328125, y: 0.890625 },\n { x: 0.328125, y: 0.890625 },\n { x: 0.359375, y: 0.890625 },\n { x: 0.359375, y: 0.890625 },\n { x: 0.390625, y: 0.890625 },\n { x: 0.390625, y: 0.890625 },\n { x: 0.421875, y: 0.890625 },\n { x: 0.421875, y: 0.890625 },\n { x: 0.453125, y: 0.890625 },\n { x: 0.453125, y: 0.890625 },\n { x: 0.484375, y: 0.890625 },\n { x: 0.484375, y: 0.890625 },\n { x: 0.515625, y: 0.890625 },\n { x: 0.515625, y: 0.890625 },\n { x: 0.546875, y: 0.890625 },\n { x: 0.546875, y: 0.890625 },\n { x: 0.578125, y: 0.890625 },\n { x: 0.578125, y: 0.890625 },\n { x: 0.609375, y: 0.890625 },\n { x: 0.609375, y: 0.890625 },\n { x: 0.640625, y: 0.890625 },\n { x: 0.640625, y: 0.890625 },\n { x: 0.671875, y: 0.890625 },\n { x: 0.671875, y: 0.890625 },\n { x: 0.703125, y: 0.890625 },\n { x: 0.703125, y: 0.890625 },\n { x: 0.734375, y: 0.890625 },\n { x: 0.734375, y: 0.890625 },\n { x: 0.765625, y: 0.890625 },\n { x: 0.765625, y: 0.890625 },\n { x: 0.796875, y: 0.890625 },\n { x: 0.796875, y: 0.890625 },\n { x: 0.828125, y: 0.890625 },\n { x: 0.828125, y: 0.890625 },\n { x: 0.859375, y: 0.890625 },\n { x: 0.859375, y: 0.890625 },\n { x: 0.890625, y: 0.890625 },\n { x: 0.890625, y: 0.890625 },\n { x: 0.921875, y: 0.890625 },\n { x: 0.921875, y: 0.890625 },\n { x: 0.953125, y: 0.890625 },\n { x: 0.953125, y: 0.890625 },\n { x: 0.984375, y: 0.890625 },\n { x: 0.984375, y: 0.890625 },\n { x: 0.015625, y: 0.921875 },\n { x: 0.015625, y: 0.921875 },\n { x: 0.046875, y: 0.921875 },\n { x: 0.046875, y: 0.921875 },\n { x: 0.078125, y: 0.921875 },\n { x: 0.078125, y: 0.921875 },\n { x: 0.109375, y: 0.921875 },\n { x: 0.109375, y: 0.921875 },\n { x: 0.140625, y: 0.921875 },\n { x: 0.140625, y: 0.921875 },\n { x: 0.171875, y: 0.921875 },\n { x: 0.171875, y: 0.921875 },\n { x: 0.203125, y: 0.921875 },\n { x: 0.203125, y: 0.921875 },\n { x: 0.234375, y: 0.921875 },\n { x: 0.234375, y: 0.921875 },\n { x: 0.265625, y: 0.921875 },\n { x: 0.265625, y: 0.921875 },\n { x: 0.296875, y: 0.921875 },\n { x: 0.296875, y: 0.921875 },\n { x: 0.328125, y: 0.921875 },\n { x: 0.328125, y: 0.921875 },\n { x: 0.359375, y: 0.921875 },\n { x: 0.359375, y: 0.921875 },\n { x: 0.390625, y: 0.921875 },\n { x: 0.390625, y: 0.921875 },\n { x: 0.421875, y: 0.921875 },\n { x: 0.421875, y: 0.921875 },\n { x: 0.453125, y: 0.921875 },\n { x: 0.453125, y: 0.921875 },\n { x: 0.484375, y: 0.921875 },\n { x: 0.484375, y: 0.921875 },\n { x: 0.515625, y: 0.921875 },\n { x: 0.515625, y: 0.921875 },\n { x: 0.546875, y: 0.921875 },\n { x: 0.546875, y: 0.921875 },\n { x: 0.578125, y: 0.921875 },\n { x: 0.578125, y: 0.921875 },\n { x: 0.609375, y: 0.921875 },\n { x: 0.609375, y: 0.921875 },\n { x: 0.640625, y: 0.921875 },\n { x: 0.640625, y: 0.921875 },\n { x: 0.671875, y: 0.921875 },\n { x: 0.671875, y: 0.921875 },\n { x: 0.703125, y: 0.921875 },\n { x: 0.703125, y: 0.921875 },\n { x: 0.734375, y: 0.921875 },\n { x: 0.734375, y: 0.921875 },\n { x: 0.765625, y: 0.921875 },\n { x: 0.765625, y: 0.921875 },\n { x: 0.796875, y: 0.921875 },\n { x: 0.796875, y: 0.921875 },\n { x: 0.828125, y: 0.921875 },\n { x: 0.828125, y: 0.921875 },\n { x: 0.859375, y: 0.921875 },\n { x: 0.859375, y: 0.921875 },\n { x: 0.890625, y: 0.921875 },\n { x: 0.890625, y: 0.921875 },\n { x: 0.921875, y: 0.921875 },\n { x: 0.921875, y: 0.921875 },\n { x: 0.953125, y: 0.921875 },\n { x: 0.953125, y: 0.921875 },\n { x: 0.984375, y: 0.921875 },\n { x: 0.984375, y: 0.921875 },\n { x: 0.015625, y: 0.953125 },\n { x: 0.015625, y: 0.953125 },\n { x: 0.046875, y: 0.953125 },\n { x: 0.046875, y: 0.953125 },\n { x: 0.078125, y: 0.953125 },\n { x: 0.078125, y: 0.953125 },\n { x: 0.109375, y: 0.953125 },\n { x: 0.109375, y: 0.953125 },\n { x: 0.140625, y: 0.953125 },\n { x: 0.140625, y: 0.953125 },\n { x: 0.171875, y: 0.953125 },\n { x: 0.171875, y: 0.953125 },\n { x: 0.203125, y: 0.953125 },\n { x: 0.203125, y: 0.953125 },\n { x: 0.234375, y: 0.953125 },\n { x: 0.234375, y: 0.953125 },\n { x: 0.265625, y: 0.953125 },\n { x: 0.265625, y: 0.953125 },\n { x: 0.296875, y: 0.953125 },\n { x: 0.296875, y: 0.953125 },\n { x: 0.328125, y: 0.953125 },\n { x: 0.328125, y: 0.953125 },\n { x: 0.359375, y: 0.953125 },\n { x: 0.359375, y: 0.953125 },\n { x: 0.390625, y: 0.953125 },\n { x: 0.390625, y: 0.953125 },\n { x: 0.421875, y: 0.953125 },\n { x: 0.421875, y: 0.953125 },\n { x: 0.453125, y: 0.953125 },\n { x: 0.453125, y: 0.953125 },\n { x: 0.484375, y: 0.953125 },\n { x: 0.484375, y: 0.953125 },\n { x: 0.515625, y: 0.953125 },\n { x: 0.515625, y: 0.953125 },\n { x: 0.546875, y: 0.953125 },\n { x: 0.546875, y: 0.953125 },\n { x: 0.578125, y: 0.953125 },\n { x: 0.578125, y: 0.953125 },\n { x: 0.609375, y: 0.953125 },\n { x: 0.609375, y: 0.953125 },\n { x: 0.640625, y: 0.953125 },\n { x: 0.640625, y: 0.953125 },\n { x: 0.671875, y: 0.953125 },\n { x: 0.671875, y: 0.953125 },\n { x: 0.703125, y: 0.953125 },\n { x: 0.703125, y: 0.953125 },\n { x: 0.734375, y: 0.953125 },\n { x: 0.734375, y: 0.953125 },\n { x: 0.765625, y: 0.953125 },\n { x: 0.765625, y: 0.953125 },\n { x: 0.796875, y: 0.953125 },\n { x: 0.796875, y: 0.953125 },\n { x: 0.828125, y: 0.953125 },\n { x: 0.828125, y: 0.953125 },\n { x: 0.859375, y: 0.953125 },\n { x: 0.859375, y: 0.953125 },\n { x: 0.890625, y: 0.953125 },\n { x: 0.890625, y: 0.953125 },\n { x: 0.921875, y: 0.953125 },\n { x: 0.921875, y: 0.953125 },\n { x: 0.953125, y: 0.953125 },\n { x: 0.953125, y: 0.953125 },\n { x: 0.984375, y: 0.953125 },\n { x: 0.984375, y: 0.953125 },\n { x: 0.015625, y: 0.984375 },\n { x: 0.015625, y: 0.984375 },\n { x: 0.046875, y: 0.984375 },\n { x: 0.046875, y: 0.984375 },\n { x: 0.078125, y: 0.984375 },\n { x: 0.078125, y: 0.984375 },\n { x: 0.109375, y: 0.984375 },\n { x: 0.109375, y: 0.984375 },\n { x: 0.140625, y: 0.984375 },\n { x: 0.140625, y: 0.984375 },\n { x: 0.171875, y: 0.984375 },\n { x: 0.171875, y: 0.984375 },\n { x: 0.203125, y: 0.984375 },\n { x: 0.203125, y: 0.984375 },\n { x: 0.234375, y: 0.984375 },\n { x: 0.234375, y: 0.984375 },\n { x: 0.265625, y: 0.984375 },\n { x: 0.265625, y: 0.984375 },\n { x: 0.296875, y: 0.984375 },\n { x: 0.296875, y: 0.984375 },\n { x: 0.328125, y: 0.984375 },\n { x: 0.328125, y: 0.984375 },\n { x: 0.359375, y: 0.984375 },\n { x: 0.359375, y: 0.984375 },\n { x: 0.390625, y: 0.984375 },\n { x: 0.390625, y: 0.984375 },\n { x: 0.421875, y: 0.984375 },\n { x: 0.421875, y: 0.984375 },\n { x: 0.453125, y: 0.984375 },\n { x: 0.453125, y: 0.984375 },\n { x: 0.484375, y: 0.984375 },\n { x: 0.484375, y: 0.984375 },\n { x: 0.515625, y: 0.984375 },\n { x: 0.515625, y: 0.984375 },\n { x: 0.546875, y: 0.984375 },\n { x: 0.546875, y: 0.984375 },\n { x: 0.578125, y: 0.984375 },\n { x: 0.578125, y: 0.984375 },\n { x: 0.609375, y: 0.984375 },\n { x: 0.609375, y: 0.984375 },\n { x: 0.640625, y: 0.984375 },\n { x: 0.640625, y: 0.984375 },\n { x: 0.671875, y: 0.984375 },\n { x: 0.671875, y: 0.984375 },\n { x: 0.703125, y: 0.984375 },\n { x: 0.703125, y: 0.984375 },\n { x: 0.734375, y: 0.984375 },\n { x: 0.734375, y: 0.984375 },\n { x: 0.765625, y: 0.984375 },\n { x: 0.765625, y: 0.984375 },\n { x: 0.796875, y: 0.984375 },\n { x: 0.796875, y: 0.984375 },\n { x: 0.828125, y: 0.984375 },\n { x: 0.828125, y: 0.984375 },\n { x: 0.859375, y: 0.984375 },\n { x: 0.859375, y: 0.984375 },\n { x: 0.890625, y: 0.984375 },\n { x: 0.890625, y: 0.984375 },\n { x: 0.921875, y: 0.984375 },\n { x: 0.921875, y: 0.984375 },\n { x: 0.953125, y: 0.984375 },\n { x: 0.953125, y: 0.984375 },\n { x: 0.984375, y: 0.984375 },\n { x: 0.984375, y: 0.984375 },\n { x: 0.03125, y: 0.03125 },\n { x: 0.03125, y: 0.03125 },\n { x: 0.09375, y: 0.03125 },\n { x: 0.09375, y: 0.03125 },\n { x: 0.15625, y: 0.03125 },\n { x: 0.15625, y: 0.03125 },\n { x: 0.21875, y: 0.03125 },\n { x: 0.21875, y: 0.03125 },\n { x: 0.28125, y: 0.03125 },\n { x: 0.28125, y: 0.03125 },\n { x: 0.34375, y: 0.03125 },\n { x: 0.34375, y: 0.03125 },\n { x: 0.40625, y: 0.03125 },\n { x: 0.40625, y: 0.03125 },\n { x: 0.46875, y: 0.03125 },\n { x: 0.46875, y: 0.03125 },\n { x: 0.53125, y: 0.03125 },\n { x: 0.53125, y: 0.03125 },\n { x: 0.59375, y: 0.03125 },\n { x: 0.59375, y: 0.03125 },\n { x: 0.65625, y: 0.03125 },\n { x: 0.65625, y: 0.03125 },\n { x: 0.71875, y: 0.03125 },\n { x: 0.71875, y: 0.03125 },\n { x: 0.78125, y: 0.03125 },\n { x: 0.78125, y: 0.03125 },\n { x: 0.84375, y: 0.03125 },\n { x: 0.84375, y: 0.03125 },\n { x: 0.90625, y: 0.03125 },\n { x: 0.90625, y: 0.03125 },\n { x: 0.96875, y: 0.03125 },\n { x: 0.96875, y: 0.03125 },\n { x: 0.03125, y: 0.09375 },\n { x: 0.03125, y: 0.09375 },\n { x: 0.09375, y: 0.09375 },\n { x: 0.09375, y: 0.09375 },\n { x: 0.15625, y: 0.09375 },\n { x: 0.15625, y: 0.09375 },\n { x: 0.21875, y: 0.09375 },\n { x: 0.21875, y: 0.09375 },\n { x: 0.28125, y: 0.09375 },\n { x: 0.28125, y: 0.09375 },\n { x: 0.34375, y: 0.09375 },\n { x: 0.34375, y: 0.09375 },\n { x: 0.40625, y: 0.09375 },\n { x: 0.40625, y: 0.09375 },\n { x: 0.46875, y: 0.09375 },\n { x: 0.46875, y: 0.09375 },\n { x: 0.53125, y: 0.09375 },\n { x: 0.53125, y: 0.09375 },\n { x: 0.59375, y: 0.09375 },\n { x: 0.59375, y: 0.09375 },\n { x: 0.65625, y: 0.09375 },\n { x: 0.65625, y: 0.09375 },\n { x: 0.71875, y: 0.09375 },\n { x: 0.71875, y: 0.09375 },\n { x: 0.78125, y: 0.09375 },\n { x: 0.78125, y: 0.09375 },\n { x: 0.84375, y: 0.09375 },\n { x: 0.84375, y: 0.09375 },\n { x: 0.90625, y: 0.09375 },\n { x: 0.90625, y: 0.09375 },\n { x: 0.96875, y: 0.09375 },\n { x: 0.96875, y: 0.09375 },\n { x: 0.03125, y: 0.15625 },\n { x: 0.03125, y: 0.15625 },\n { x: 0.09375, y: 0.15625 },\n { x: 0.09375, y: 0.15625 },\n { x: 0.15625, y: 0.15625 },\n { x: 0.15625, y: 0.15625 },\n { x: 0.21875, y: 0.15625 },\n { x: 0.21875, y: 0.15625 },\n { x: 0.28125, y: 0.15625 },\n { x: 0.28125, y: 0.15625 },\n { x: 0.34375, y: 0.15625 },\n { x: 0.34375, y: 0.15625 },\n { x: 0.40625, y: 0.15625 },\n { x: 0.40625, y: 0.15625 },\n { x: 0.46875, y: 0.15625 },\n { x: 0.46875, y: 0.15625 },\n { x: 0.53125, y: 0.15625 },\n { x: 0.53125, y: 0.15625 },\n { x: 0.59375, y: 0.15625 },\n { x: 0.59375, y: 0.15625 },\n { x: 0.65625, y: 0.15625 },\n { x: 0.65625, y: 0.15625 },\n { x: 0.71875, y: 0.15625 },\n { x: 0.71875, y: 0.15625 },\n { x: 0.78125, y: 0.15625 },\n { x: 0.78125, y: 0.15625 },\n { x: 0.84375, y: 0.15625 },\n { x: 0.84375, y: 0.15625 },\n { x: 0.90625, y: 0.15625 },\n { x: 0.90625, y: 0.15625 },\n { x: 0.96875, y: 0.15625 },\n { x: 0.96875, y: 0.15625 },\n { x: 0.03125, y: 0.21875 },\n { x: 0.03125, y: 0.21875 },\n { x: 0.09375, y: 0.21875 },\n { x: 0.09375, y: 0.21875 },\n { x: 0.15625, y: 0.21875 },\n { x: 0.15625, y: 0.21875 },\n { x: 0.21875, y: 0.21875 },\n { x: 0.21875, y: 0.21875 },\n { x: 0.28125, y: 0.21875 },\n { x: 0.28125, y: 0.21875 },\n { x: 0.34375, y: 0.21875 },\n { x: 0.34375, y: 0.21875 },\n { x: 0.40625, y: 0.21875 },\n { x: 0.40625, y: 0.21875 },\n { x: 0.46875, y: 0.21875 },\n { x: 0.46875, y: 0.21875 },\n { x: 0.53125, y: 0.21875 },\n { x: 0.53125, y: 0.21875 },\n { x: 0.59375, y: 0.21875 },\n { x: 0.59375, y: 0.21875 },\n { x: 0.65625, y: 0.21875 },\n { x: 0.65625, y: 0.21875 },\n { x: 0.71875, y: 0.21875 },\n { x: 0.71875, y: 0.21875 },\n { x: 0.78125, y: 0.21875 },\n { x: 0.78125, y: 0.21875 },\n { x: 0.84375, y: 0.21875 },\n { x: 0.84375, y: 0.21875 },\n { x: 0.90625, y: 0.21875 },\n { x: 0.90625, y: 0.21875 },\n { x: 0.96875, y: 0.21875 },\n { x: 0.96875, y: 0.21875 },\n { x: 0.03125, y: 0.28125 },\n { x: 0.03125, y: 0.28125 },\n { x: 0.09375, y: 0.28125 },\n { x: 0.09375, y: 0.28125 },\n { x: 0.15625, y: 0.28125 },\n { x: 0.15625, y: 0.28125 },\n { x: 0.21875, y: 0.28125 },\n { x: 0.21875, y: 0.28125 },\n { x: 0.28125, y: 0.28125 },\n { x: 0.28125, y: 0.28125 },\n { x: 0.34375, y: 0.28125 },\n { x: 0.34375, y: 0.28125 },\n { x: 0.40625, y: 0.28125 },\n { x: 0.40625, y: 0.28125 },\n { x: 0.46875, y: 0.28125 },\n { x: 0.46875, y: 0.28125 },\n { x: 0.53125, y: 0.28125 },\n { x: 0.53125, y: 0.28125 },\n { x: 0.59375, y: 0.28125 },\n { x: 0.59375, y: 0.28125 },\n { x: 0.65625, y: 0.28125 },\n { x: 0.65625, y: 0.28125 },\n { x: 0.71875, y: 0.28125 },\n { x: 0.71875, y: 0.28125 },\n { x: 0.78125, y: 0.28125 },\n { x: 0.78125, y: 0.28125 },\n { x: 0.84375, y: 0.28125 },\n { x: 0.84375, y: 0.28125 },\n { x: 0.90625, y: 0.28125 },\n { x: 0.90625, y: 0.28125 },\n { x: 0.96875, y: 0.28125 },\n { x: 0.96875, y: 0.28125 },\n { x: 0.03125, y: 0.34375 },\n { x: 0.03125, y: 0.34375 },\n { x: 0.09375, y: 0.34375 },\n { x: 0.09375, y: 0.34375 },\n { x: 0.15625, y: 0.34375 },\n { x: 0.15625, y: 0.34375 },\n { x: 0.21875, y: 0.34375 },\n { x: 0.21875, y: 0.34375 },\n { x: 0.28125, y: 0.34375 },\n { x: 0.28125, y: 0.34375 },\n { x: 0.34375, y: 0.34375 },\n { x: 0.34375, y: 0.34375 },\n { x: 0.40625, y: 0.34375 },\n { x: 0.40625, y: 0.34375 },\n { x: 0.46875, y: 0.34375 },\n { x: 0.46875, y: 0.34375 },\n { x: 0.53125, y: 0.34375 },\n { x: 0.53125, y: 0.34375 },\n { x: 0.59375, y: 0.34375 },\n { x: 0.59375, y: 0.34375 },\n { x: 0.65625, y: 0.34375 },\n { x: 0.65625, y: 0.34375 },\n { x: 0.71875, y: 0.34375 },\n { x: 0.71875, y: 0.34375 },\n { x: 0.78125, y: 0.34375 },\n { x: 0.78125, y: 0.34375 },\n { x: 0.84375, y: 0.34375 },\n { x: 0.84375, y: 0.34375 },\n { x: 0.90625, y: 0.34375 },\n { x: 0.90625, y: 0.34375 },\n { x: 0.96875, y: 0.34375 },\n { x: 0.96875, y: 0.34375 },\n { x: 0.03125, y: 0.40625 },\n { x: 0.03125, y: 0.40625 },\n { x: 0.09375, y: 0.40625 },\n { x: 0.09375, y: 0.40625 },\n { x: 0.15625, y: 0.40625 },\n { x: 0.15625, y: 0.40625 },\n { x: 0.21875, y: 0.40625 },\n { x: 0.21875, y: 0.40625 },\n { x: 0.28125, y: 0.40625 },\n { x: 0.28125, y: 0.40625 },\n { x: 0.34375, y: 0.40625 },\n { x: 0.34375, y: 0.40625 },\n { x: 0.40625, y: 0.40625 },\n { x: 0.40625, y: 0.40625 },\n { x: 0.46875, y: 0.40625 },\n { x: 0.46875, y: 0.40625 },\n { x: 0.53125, y: 0.40625 },\n { x: 0.53125, y: 0.40625 },\n { x: 0.59375, y: 0.40625 },\n { x: 0.59375, y: 0.40625 },\n { x: 0.65625, y: 0.40625 },\n { x: 0.65625, y: 0.40625 },\n { x: 0.71875, y: 0.40625 },\n { x: 0.71875, y: 0.40625 },\n { x: 0.78125, y: 0.40625 },\n { x: 0.78125, y: 0.40625 },\n { x: 0.84375, y: 0.40625 },\n { x: 0.84375, y: 0.40625 },\n { x: 0.90625, y: 0.40625 },\n { x: 0.90625, y: 0.40625 },\n { x: 0.96875, y: 0.40625 },\n { x: 0.96875, y: 0.40625 },\n { x: 0.03125, y: 0.46875 },\n { x: 0.03125, y: 0.46875 },\n { x: 0.09375, y: 0.46875 },\n { x: 0.09375, y: 0.46875 },\n { x: 0.15625, y: 0.46875 },\n { x: 0.15625, y: 0.46875 },\n { x: 0.21875, y: 0.46875 },\n { x: 0.21875, y: 0.46875 },\n { x: 0.28125, y: 0.46875 },\n { x: 0.28125, y: 0.46875 },\n { x: 0.34375, y: 0.46875 },\n { x: 0.34375, y: 0.46875 },\n { x: 0.40625, y: 0.46875 },\n { x: 0.40625, y: 0.46875 },\n { x: 0.46875, y: 0.46875 },\n { x: 0.46875, y: 0.46875 },\n { x: 0.53125, y: 0.46875 },\n { x: 0.53125, y: 0.46875 },\n { x: 0.59375, y: 0.46875 },\n { x: 0.59375, y: 0.46875 },\n { x: 0.65625, y: 0.46875 },\n { x: 0.65625, y: 0.46875 },\n { x: 0.71875, y: 0.46875 },\n { x: 0.71875, y: 0.46875 },\n { x: 0.78125, y: 0.46875 },\n { x: 0.78125, y: 0.46875 },\n { x: 0.84375, y: 0.46875 },\n { x: 0.84375, y: 0.46875 },\n { x: 0.90625, y: 0.46875 },\n { x: 0.90625, y: 0.46875 },\n { x: 0.96875, y: 0.46875 },\n { x: 0.96875, y: 0.46875 },\n { x: 0.03125, y: 0.53125 },\n { x: 0.03125, y: 0.53125 },\n { x: 0.09375, y: 0.53125 },\n { x: 0.09375, y: 0.53125 },\n { x: 0.15625, y: 0.53125 },\n { x: 0.15625, y: 0.53125 },\n { x: 0.21875, y: 0.53125 },\n { x: 0.21875, y: 0.53125 },\n { x: 0.28125, y: 0.53125 },\n { x: 0.28125, y: 0.53125 },\n { x: 0.34375, y: 0.53125 },\n { x: 0.34375, y: 0.53125 },\n { x: 0.40625, y: 0.53125 },\n { x: 0.40625, y: 0.53125 },\n { x: 0.46875, y: 0.53125 },\n { x: 0.46875, y: 0.53125 },\n { x: 0.53125, y: 0.53125 },\n { x: 0.53125, y: 0.53125 },\n { x: 0.59375, y: 0.53125 },\n { x: 0.59375, y: 0.53125 },\n { x: 0.65625, y: 0.53125 },\n { x: 0.65625, y: 0.53125 },\n { x: 0.71875, y: 0.53125 },\n { x: 0.71875, y: 0.53125 },\n { x: 0.78125, y: 0.53125 },\n { x: 0.78125, y: 0.53125 },\n { x: 0.84375, y: 0.53125 },\n { x: 0.84375, y: 0.53125 },\n { x: 0.90625, y: 0.53125 },\n { x: 0.90625, y: 0.53125 },\n { x: 0.96875, y: 0.53125 },\n { x: 0.96875, y: 0.53125 },\n { x: 0.03125, y: 0.59375 },\n { x: 0.03125, y: 0.59375 },\n { x: 0.09375, y: 0.59375 },\n { x: 0.09375, y: 0.59375 },\n { x: 0.15625, y: 0.59375 },\n { x: 0.15625, y: 0.59375 },\n { x: 0.21875, y: 0.59375 },\n { x: 0.21875, y: 0.59375 },\n { x: 0.28125, y: 0.59375 },\n { x: 0.28125, y: 0.59375 },\n { x: 0.34375, y: 0.59375 },\n { x: 0.34375, y: 0.59375 },\n { x: 0.40625, y: 0.59375 },\n { x: 0.40625, y: 0.59375 },\n { x: 0.46875, y: 0.59375 },\n { x: 0.46875, y: 0.59375 },\n { x: 0.53125, y: 0.59375 },\n { x: 0.53125, y: 0.59375 },\n { x: 0.59375, y: 0.59375 },\n { x: 0.59375, y: 0.59375 },\n { x: 0.65625, y: 0.59375 },\n { x: 0.65625, y: 0.59375 },\n { x: 0.71875, y: 0.59375 },\n { x: 0.71875, y: 0.59375 },\n { x: 0.78125, y: 0.59375 },\n { x: 0.78125, y: 0.59375 },\n { x: 0.84375, y: 0.59375 },\n { x: 0.84375, y: 0.59375 },\n { x: 0.90625, y: 0.59375 },\n { x: 0.90625, y: 0.59375 },\n { x: 0.96875, y: 0.59375 },\n { x: 0.96875, y: 0.59375 },\n { x: 0.03125, y: 0.65625 },\n { x: 0.03125, y: 0.65625 },\n { x: 0.09375, y: 0.65625 },\n { x: 0.09375, y: 0.65625 },\n { x: 0.15625, y: 0.65625 },\n { x: 0.15625, y: 0.65625 },\n { x: 0.21875, y: 0.65625 },\n { x: 0.21875, y: 0.65625 },\n { x: 0.28125, y: 0.65625 },\n { x: 0.28125, y: 0.65625 },\n { x: 0.34375, y: 0.65625 },\n { x: 0.34375, y: 0.65625 },\n { x: 0.40625, y: 0.65625 },\n { x: 0.40625, y: 0.65625 },\n { x: 0.46875, y: 0.65625 },\n { x: 0.46875, y: 0.65625 },\n { x: 0.53125, y: 0.65625 },\n { x: 0.53125, y: 0.65625 },\n { x: 0.59375, y: 0.65625 },\n { x: 0.59375, y: 0.65625 },\n { x: 0.65625, y: 0.65625 },\n { x: 0.65625, y: 0.65625 },\n { x: 0.71875, y: 0.65625 },\n { x: 0.71875, y: 0.65625 },\n { x: 0.78125, y: 0.65625 },\n { x: 0.78125, y: 0.65625 },\n { x: 0.84375, y: 0.65625 },\n { x: 0.84375, y: 0.65625 },\n { x: 0.90625, y: 0.65625 },\n { x: 0.90625, y: 0.65625 },\n { x: 0.96875, y: 0.65625 },\n { x: 0.96875, y: 0.65625 },\n { x: 0.03125, y: 0.71875 },\n { x: 0.03125, y: 0.71875 },\n { x: 0.09375, y: 0.71875 },\n { x: 0.09375, y: 0.71875 },\n { x: 0.15625, y: 0.71875 },\n { x: 0.15625, y: 0.71875 },\n { x: 0.21875, y: 0.71875 },\n { x: 0.21875, y: 0.71875 },\n { x: 0.28125, y: 0.71875 },\n { x: 0.28125, y: 0.71875 },\n { x: 0.34375, y: 0.71875 },\n { x: 0.34375, y: 0.71875 },\n { x: 0.40625, y: 0.71875 },\n { x: 0.40625, y: 0.71875 },\n { x: 0.46875, y: 0.71875 },\n { x: 0.46875, y: 0.71875 },\n { x: 0.53125, y: 0.71875 },\n { x: 0.53125, y: 0.71875 },\n { x: 0.59375, y: 0.71875 },\n { x: 0.59375, y: 0.71875 },\n { x: 0.65625, y: 0.71875 },\n { x: 0.65625, y: 0.71875 },\n { x: 0.71875, y: 0.71875 },\n { x: 0.71875, y: 0.71875 },\n { x: 0.78125, y: 0.71875 },\n { x: 0.78125, y: 0.71875 },\n { x: 0.84375, y: 0.71875 },\n { x: 0.84375, y: 0.71875 },\n { x: 0.90625, y: 0.71875 },\n { x: 0.90625, y: 0.71875 },\n { x: 0.96875, y: 0.71875 },\n { x: 0.96875, y: 0.71875 },\n { x: 0.03125, y: 0.78125 },\n { x: 0.03125, y: 0.78125 },\n { x: 0.09375, y: 0.78125 },\n { x: 0.09375, y: 0.78125 },\n { x: 0.15625, y: 0.78125 },\n { x: 0.15625, y: 0.78125 },\n { x: 0.21875, y: 0.78125 },\n { x: 0.21875, y: 0.78125 },\n { x: 0.28125, y: 0.78125 },\n { x: 0.28125, y: 0.78125 },\n { x: 0.34375, y: 0.78125 },\n { x: 0.34375, y: 0.78125 },\n { x: 0.40625, y: 0.78125 },\n { x: 0.40625, y: 0.78125 },\n { x: 0.46875, y: 0.78125 },\n { x: 0.46875, y: 0.78125 },\n { x: 0.53125, y: 0.78125 },\n { x: 0.53125, y: 0.78125 },\n { x: 0.59375, y: 0.78125 },\n { x: 0.59375, y: 0.78125 },\n { x: 0.65625, y: 0.78125 },\n { x: 0.65625, y: 0.78125 },\n { x: 0.71875, y: 0.78125 },\n { x: 0.71875, y: 0.78125 },\n { x: 0.78125, y: 0.78125 },\n { x: 0.78125, y: 0.78125 },\n { x: 0.84375, y: 0.78125 },\n { x: 0.84375, y: 0.78125 },\n { x: 0.90625, y: 0.78125 },\n { x: 0.90625, y: 0.78125 },\n { x: 0.96875, y: 0.78125 },\n { x: 0.96875, y: 0.78125 },\n { x: 0.03125, y: 0.84375 },\n { x: 0.03125, y: 0.84375 },\n { x: 0.09375, y: 0.84375 },\n { x: 0.09375, y: 0.84375 },\n { x: 0.15625, y: 0.84375 },\n { x: 0.15625, y: 0.84375 },\n { x: 0.21875, y: 0.84375 },\n { x: 0.21875, y: 0.84375 },\n { x: 0.28125, y: 0.84375 },\n { x: 0.28125, y: 0.84375 },\n { x: 0.34375, y: 0.84375 },\n { x: 0.34375, y: 0.84375 },\n { x: 0.40625, y: 0.84375 },\n { x: 0.40625, y: 0.84375 },\n { x: 0.46875, y: 0.84375 },\n { x: 0.46875, y: 0.84375 },\n { x: 0.53125, y: 0.84375 },\n { x: 0.53125, y: 0.84375 },\n { x: 0.59375, y: 0.84375 },\n { x: 0.59375, y: 0.84375 },\n { x: 0.65625, y: 0.84375 },\n { x: 0.65625, y: 0.84375 },\n { x: 0.71875, y: 0.84375 },\n { x: 0.71875, y: 0.84375 },\n { x: 0.78125, y: 0.84375 },\n { x: 0.78125, y: 0.84375 },\n { x: 0.84375, y: 0.84375 },\n { x: 0.84375, y: 0.84375 },\n { x: 0.90625, y: 0.84375 },\n { x: 0.90625, y: 0.84375 },\n { x: 0.96875, y: 0.84375 },\n { x: 0.96875, y: 0.84375 },\n { x: 0.03125, y: 0.90625 },\n { x: 0.03125, y: 0.90625 },\n { x: 0.09375, y: 0.90625 },\n { x: 0.09375, y: 0.90625 },\n { x: 0.15625, y: 0.90625 },\n { x: 0.15625, y: 0.90625 },\n { x: 0.21875, y: 0.90625 },\n { x: 0.21875, y: 0.90625 },\n { x: 0.28125, y: 0.90625 },\n { x: 0.28125, y: 0.90625 },\n { x: 0.34375, y: 0.90625 },\n { x: 0.34375, y: 0.90625 },\n { x: 0.40625, y: 0.90625 },\n { x: 0.40625, y: 0.90625 },\n { x: 0.46875, y: 0.90625 },\n { x: 0.46875, y: 0.90625 },\n { x: 0.53125, y: 0.90625 },\n { x: 0.53125, y: 0.90625 },\n { x: 0.59375, y: 0.90625 },\n { x: 0.59375, y: 0.90625 },\n { x: 0.65625, y: 0.90625 },\n { x: 0.65625, y: 0.90625 },\n { x: 0.71875, y: 0.90625 },\n { x: 0.71875, y: 0.90625 },\n { x: 0.78125, y: 0.90625 },\n { x: 0.78125, y: 0.90625 },\n { x: 0.84375, y: 0.90625 },\n { x: 0.84375, y: 0.90625 },\n { x: 0.90625, y: 0.90625 },\n { x: 0.90625, y: 0.90625 },\n { x: 0.96875, y: 0.90625 },\n { x: 0.96875, y: 0.90625 },\n { x: 0.03125, y: 0.96875 },\n { x: 0.03125, y: 0.96875 },\n { x: 0.09375, y: 0.96875 },\n { x: 0.09375, y: 0.96875 },\n { x: 0.15625, y: 0.96875 },\n { x: 0.15625, y: 0.96875 },\n { x: 0.21875, y: 0.96875 },\n { x: 0.21875, y: 0.96875 },\n { x: 0.28125, y: 0.96875 },\n { x: 0.28125, y: 0.96875 },\n { x: 0.34375, y: 0.96875 },\n { x: 0.34375, y: 0.96875 },\n { x: 0.40625, y: 0.96875 },\n { x: 0.40625, y: 0.96875 },\n { x: 0.46875, y: 0.96875 },\n { x: 0.46875, y: 0.96875 },\n { x: 0.53125, y: 0.96875 },\n { x: 0.53125, y: 0.96875 },\n { x: 0.59375, y: 0.96875 },\n { x: 0.59375, y: 0.96875 },\n { x: 0.65625, y: 0.96875 },\n { x: 0.65625, y: 0.96875 },\n { x: 0.71875, y: 0.96875 },\n { x: 0.71875, y: 0.96875 },\n { x: 0.78125, y: 0.96875 },\n { x: 0.78125, y: 0.96875 },\n { x: 0.84375, y: 0.96875 },\n { x: 0.84375, y: 0.96875 },\n { x: 0.90625, y: 0.96875 },\n { x: 0.90625, y: 0.96875 },\n { x: 0.96875, y: 0.96875 },\n { x: 0.96875, y: 0.96875 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.0625, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.1875, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.3125, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.4375, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.5625, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.6875, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.8125, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.9375, y: 0.0625 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.0625, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.1875, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.3125, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.4375, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.5625, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.6875, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.8125, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.9375, y: 0.1875 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.0625, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.1875, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.3125, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.4375, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.5625, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.6875, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.8125, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.9375, y: 0.3125 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.0625, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.1875, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.3125, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.4375, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.5625, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.6875, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.8125, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.9375, y: 0.4375 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.0625, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.1875, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.3125, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.4375, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.5625, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.6875, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.8125, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.9375, y: 0.5625 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.0625, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.1875, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.3125, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.4375, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.5625, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.6875, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.8125, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.9375, y: 0.6875 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.0625, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.1875, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.3125, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.4375, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.5625, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.6875, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.8125, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.9375, y: 0.8125 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.0625, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.1875, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.3125, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.4375, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.5625, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.6875, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.8125, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n { x: 0.9375, y: 0.9375 },\n];\n", "/**\n * HandPose model implementation\n * See `handpose.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as util from './handposeutil';\nimport * as anchors from './handposeanchors';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, Tensor1D, Tensor2D, Tensor4D, GraphModel } from '../tfjs/types';\nimport type { Point } from '../result';\nimport type { Config } from '../config';\n\nexport class HandDetector {\n model: GraphModel;\n anchors: number[][];\n anchorsTensor: Tensor;\n inputSize: number;\n inputSizeTensor: Tensor;\n doubleInputSizeTensor: Tensor;\n\n constructor(model: GraphModel) {\n this.model = model;\n this.anchors = anchors.anchors.map((anchor) => [anchor.x, anchor.y]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSize = this?.model?.inputs?.[0]?.shape?.[2] || 0;\n this.inputSizeTensor = tf.tensor1d([this.inputSize, this.inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([this.inputSize * 2, this.inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n const t: Record = {};\n t.boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n t.boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n t.div = tf.div(t.boxOffsets, this.inputSizeTensor);\n t.boxCenterPoints = tf.add(t.div, this.anchorsTensor);\n t.halfBoxSizes = tf.div(t.boxSizes, this.doubleInputSizeTensor);\n t.sub = tf.sub(t.boxCenterPoints, t.halfBoxSizes);\n t.startPoints = tf.mul(t.sub, this.inputSizeTensor);\n t.add = tf.add(t.boxCenterPoints, t.halfBoxSizes);\n t.endPoints = tf.mul(t.add, this.inputSizeTensor);\n const res = tf.concat2d([t.startPoints as Tensor2D, t.endPoints as Tensor2D], 1);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return res as Tensor;\n }\n\n normalizeLandmarks(rawPalmLandmarks, index: number): Tensor {\n const t: Record = {};\n t.reshape = tf.reshape(rawPalmLandmarks, [-1, 7, 2]);\n t.div = tf.div(t.reshape, this.inputSizeTensor);\n t.landmarks = tf.add(t.div, this.anchors[index] ? this.anchors[index] : 0);\n const res = tf.mul(t.landmarks, this.inputSizeTensor);\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return res;\n }\n\n async predict(input: Tensor4D, config: Config): Promise<{ startPoint: Point; endPoint: Point, palmLandmarks: Point[]; confidence: number }[]> {\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [this.inputSize, this.inputSize]);\n t.div = tf.div(t.resize, constants.tf127);\n t.image = tf.sub(t.div, constants.tf1);\n t.batched = this.model.execute(t.image) as Tensor;\n t.predictions = tf.squeeze(t.batched);\n t.slice = tf.slice(t.predictions, [0, 0], [-1, 1]);\n t.sigmoid = tf.sigmoid(t.slice);\n t.scores = tf.squeeze(t.sigmoid);\n const scores = await t.scores.data();\n t.boxes = tf.slice(t.predictions, [0, 1], [-1, 4]);\n t.norm = this.normalizeBoxes(t.boxes);\n // box detection is flaky so we look for 3x boxes than we need results\n t.nms = await tf.image.nonMaxSuppressionAsync(t.norm as Tensor2D, t.scores as Tensor1D, 3 * (config.hand?.maxDetected || 1), config.hand.iouThreshold, config.hand.minConfidence);\n const nms = await t.nms.array() as number[];\n const hands: { startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number }[] = [];\n for (const index of nms) {\n const p: Record = {};\n p.box = tf.slice(t.norm, [index, 0], [1, -1]);\n p.slice = tf.slice(t.predictions, [index, 5], [1, 14]);\n p.norm = this.normalizeLandmarks(p.slice, index);\n p.palmLandmarks = tf.reshape(p.norm, [-1, 2]);\n const box = await p.box.data();\n const startPoint = box.slice(0, 2) as unknown as Point;\n const endPoint = box.slice(2, 4) as unknown as Point;\n const palmLandmarks = await p.palmLandmarks.array();\n const hand = { startPoint, endPoint, palmLandmarks, confidence: scores[index] };\n const scaled = util.scaleBoxCoordinates(hand, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]);\n hands.push(scaled);\n Object.keys(p).forEach((tensor) => tf.dispose(p[tensor]));\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return hands;\n }\n}\n", "/**\n * HandPose model implementation\n * See `handpose.ts` for entry point\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport * as util from './handposeutil';\nimport type * as detector from './handposedetector';\nimport { constants } from '../tfjs/constants';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { now } from '../util/util';\nimport type { Point } from '../result';\n\nconst palmBoxEnlargeFactor = 5; // default 3\nconst handBoxEnlargeFactor = 1.65; // default 1.65\nconst palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2];\nconst palmLandmarksPalmBase = 0;\nconst palmLandmarksMiddleFingerBase = 2;\nlet lastTime = 0;\n\nexport class HandPipeline {\n handDetector: detector.HandDetector;\n handPoseModel: GraphModel;\n inputSize: number;\n storedBoxes: ({ startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number } | null)[];\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, handPoseModel) {\n this.handDetector = handDetector;\n this.handPoseModel = handPoseModel;\n this.inputSize = this.handPoseModel?.inputs?.[0].shape?.[2] || 0;\n this.storedBoxes = [];\n this.skipped = Number.MAX_SAFE_INTEGER;\n this.detectedHands = 0;\n }\n\n calculateLandmarksBoundingBox(landmarks) { // eslint-disable-line class-methods-use-this\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n return util.enlargeBox(util.squarifyBox(boxAroundPalm), palmBoxEnlargeFactor);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n const boxAroundHand = util.enlargeBox(util.squarifyBox(boundingBox), handBoxEnlargeFactor);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < palmLandmarkIds.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = util.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...util.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n Math.trunc(coord[0] + originalBoxCenter[0]),\n Math.trunc(coord[1] + originalBoxCenter[1]),\n Math.trunc(coord[2]),\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames\n let boxes;\n const skipTime = (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrame = this.skipped < (config.hand.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n boxes = await this.handDetector.predict(image, config);\n this.skipped = 0;\n }\n if (config.skipAllowed) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxDetected) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: { landmarks: Point[], confidence: number, boxConfidence: number, fingerConfidence: number, box: { topLeft: Point, bottomRight: Point } }[] = [];\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0;\n const palmCenter = util.getBoxCenter(currentBox);\n const palmCenterNormalized: [number, number] = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation && env.kernels.includes('rotatewithoffset') ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = util.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = tf.div(croppedInput, constants.tf255);\n tf.dispose(croppedInput);\n tf.dispose(rotatedImage);\n const [confidenceT, keypoints] = this.handPoseModel.execute(handImage) as Tensor[];\n lastTime = now();\n tf.dispose(handImage);\n const confidence = (await confidenceT.data())[0];\n tf.dispose(confidenceT);\n if (confidence >= config.hand.minConfidence / 4) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = await keypointsReshaped.array();\n tf.dispose(keypoints);\n tf.dispose(keypointsReshaped);\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = { ...nextBoundingBox, confidence };\n const result = {\n landmarks: coords,\n confidence,\n boxConfidence: currentBox.confidence,\n fingerConfidence: confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n tf.dispose(keypoints);\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), handBoxEnlargeFactor);\n const enlarged = util.enlargeBox(util.squarifyBox(currentBox), handBoxEnlargeFactor);\n const result = {\n confidence: currentBox.confidence,\n boxConfidence: currentBox.confidence,\n fingerConfidence: 0,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n landmarks: [],\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n if (hands.length > config.hand.maxDetected) hands.length = config.hand.maxDetected;\n return hands;\n }\n}\n", "/**\n * HandPose model implementation\n *\n * Based on: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n */\n\nimport { log } from '../util/util';\nimport * as handdetector from './handposedetector';\nimport * as handpipeline from './handposepipeline';\nimport * as fingerPose from './fingerpose';\nimport { loadModel } from '../tfjs/load';\nimport type { HandResult, Box, Point } from '../result';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nconst meshAnnotations = {\n thumb: [1, 2, 3, 4],\n index: [5, 6, 7, 8],\n middle: [9, 10, 11, 12],\n ring: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palm: [0],\n};\n\nlet handDetectorModel: GraphModel | null;\nlet handPoseModel: GraphModel | null;\nlet handPipeline: handpipeline.HandPipeline;\n\nexport async function predict(input: Tensor, config: Config): Promise {\n const predictions = await handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: HandResult[] = [];\n for (let i = 0; i < predictions.length; i++) {\n const annotations = {};\n if (predictions[i].landmarks) {\n for (const key of Object.keys(meshAnnotations)) {\n annotations[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);\n }\n }\n const keypoints = predictions[i].landmarks as unknown as Point[];\n let box: Box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; // maximums so conditionals work\n let boxRaw: Box = [0, 0, 0, 0];\n if (keypoints && keypoints.length > 0) { // if we have landmarks, calculate box based on landmarks\n for (const pt of keypoints) {\n if (pt[0] < box[0]) box[0] = pt[0];\n if (pt[1] < box[1]) box[1] = pt[1];\n if (pt[0] > box[2]) box[2] = pt[0];\n if (pt[1] > box[3]) box[3] = pt[1];\n }\n box[2] -= box[0];\n box[3] -= box[1];\n boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)];\n } else { // otherwise use box from prediction\n box = predictions[i].box ? [\n Math.trunc(Math.max(0, predictions[i].box.topLeft[0])),\n Math.trunc(Math.max(0, predictions[i].box.topLeft[1])),\n Math.trunc(Math.min((input.shape[2] || 0), predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])),\n Math.trunc(Math.min((input.shape[1] || 0), predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])),\n ] : [0, 0, 0, 0];\n boxRaw = [\n (predictions[i].box.topLeft[0]) / (input.shape[2] || 0),\n (predictions[i].box.topLeft[1]) / (input.shape[1] || 0),\n (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0),\n (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0),\n ];\n }\n const landmarks = fingerPose.analyze(keypoints);\n hands.push({\n id: i,\n score: Math.round(100 * predictions[i].confidence) / 100,\n boxScore: Math.round(100 * predictions[i].boxConfidence) / 100,\n fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100,\n label: 'hand',\n box,\n boxRaw,\n keypoints,\n annotations: annotations as HandResult['annotations'],\n landmarks: landmarks as HandResult['landmarks'],\n });\n }\n return hands;\n}\n\nexport async function load(config: Config): Promise<[GraphModel | null, GraphModel | null]> {\n if (env.initial) {\n handDetectorModel = null;\n handPoseModel = null;\n }\n if (!handDetectorModel || !handPoseModel) {\n [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? loadModel(config.hand.detector?.modelPath) : null,\n config.hand.landmarks ? loadModel(config.hand.skeleton?.modelPath) : null,\n ]);\n } else {\n if (config.debug) log('cached model:', handDetectorModel['modelUrl']);\n if (config.debug) log('cached model:', handPoseModel['modelUrl']);\n }\n const handDetector = handDetectorModel ? new handdetector.HandDetector(handDetectorModel) : undefined;\n if (handDetector && handPoseModel) handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel);\n return [handDetectorModel, handPoseModel];\n}\n", "/**\n * HandTrack model implementation\n *\n * Based on:\n * - Hand Detection & Skeleton: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n * - Hand Tracking: [**HandTracking**](https://github.com/victordibia/handtracking)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport * as box from '../util/box';\nimport { loadModel } from '../tfjs/load';\nimport type { HandResult, HandType, Box, Point } from '../result';\nimport type { GraphModel, Tensor, Tensor1D, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as fingerPose from './fingerpose';\nimport { fakeOps } from '../tfjs/backend';\nimport { constants } from '../tfjs/constants';\n\nconst models: [GraphModel | null, GraphModel | null] = [null, null];\nconst modelOutputNodes = ['StatefulPartitionedCall/Postprocessor/Slice', 'StatefulPartitionedCall/Postprocessor/ExpandDims_1'];\n\nconst inputSize = [[0, 0], [0, 0]];\n\nconst classes = ['hand', 'fist', 'pinch', 'point', 'face', 'tip', 'pinchtip'];\nconst faceIndex = 4;\n\nconst boxExpandFact = 1.6;\nconst maxDetectorResolution = 512;\nconst detectorExpandFact = 1.4;\n\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastTime = 0;\nlet outputSize: [number, number] = [0, 0];\n\ninterface HandDetectResult {\n id: number,\n score: number,\n box: Box,\n boxRaw: Box,\n label: HandType,\n}\n\nconst cache: {\n boxes: HandDetectResult[],\n hands: HandResult[];\n} = {\n boxes: [],\n hands: [],\n};\n\nconst fingerMap = {\n /*\n thumb: [0, 1, 2, 3, 4],\n index: [0, 5, 6, 7, 8],\n middle: [0, 9, 10, 11, 12],\n ring: [0, 13, 14, 15, 16],\n pinky: [0, 17, 18, 19, 20],\n palm: [0],\n */\n thumb: [1, 2, 3, 4],\n index: [5, 6, 7, 8],\n middle: [9, 10, 11, 12],\n ring: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n base: [0],\n palm: [0, 17, 13, 9, 5, 1, 0],\n};\n\nexport async function loadDetect(config: Config): Promise {\n // HandTrack Model: Original: TFJS Port: \n if (env.initial) models[0] = null;\n if (!models[0]) {\n // handtrack model has some kernel ops defined in model but those are never referenced and non-existent in tfjs\n // ideally need to prune the model itself\n fakeOps(['tensorlistreserve', 'enter', 'tensorlistfromtensor', 'merge', 'loopcond', 'switch', 'exit', 'tensorliststack', 'nextiteration', 'tensorlistsetitem', 'tensorlistgetitem', 'reciprocal', 'shape', 'split', 'where'], config);\n models[0] = await loadModel(config.hand.detector?.modelPath);\n const inputs = models[0]['executor'] ? Object.values(models[0].modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', models[0]['modelUrl']);\n return models[0];\n}\n\nexport async function loadSkeleton(config: Config): Promise {\n if (env.initial) models[1] = null;\n if (!models[1]) {\n models[1] = await loadModel(config.hand.skeleton?.modelPath);\n const inputs = models[1]['executor'] ? Object.values(models[1].modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n } else if (config.debug) log('cached model:', models[1]['modelUrl']);\n return models[1];\n}\n\nexport async function load(config: Config): Promise<[GraphModel | null, GraphModel | null]> {\n if (!models[0]) await loadDetect(config);\n if (!models[1]) await loadSkeleton(config);\n return models;\n}\n\nasync function detectHands(input: Tensor4D, config: Config): Promise {\n const hands: HandDetectResult[] = [];\n if (!input || !models[0]) return hands;\n const t: Record = {};\n const ratio = (input.shape[2] || 1) / (input.shape[1] || 1);\n const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); // use dynamic input size but cap at 512\n const width = Math.round(height * ratio / 8) * 8;\n t.resize = tf.image.resizeBilinear(input, [height, width]); // todo: resize with padding\n t.cast = tf.cast(t.resize, 'int32');\n [t.rawScores, t.rawBoxes] = await models[0].executeAsync(t.cast, modelOutputNodes) as Tensor[];\n t.boxes = tf.squeeze(t.rawBoxes, [0, 2]);\n t.scores = tf.squeeze(t.rawScores, [0]);\n const classScores: Tensor[] = tf.unstack(t.scores, 1); // unstack scores based on classes\n tf.dispose(classScores[faceIndex]);\n classScores.splice(faceIndex, 1); // remove faces\n t.filtered = tf.stack(classScores, 1); // restack\n tf.dispose(classScores);\n // t.filtered = t.scores;\n t.max = tf.max(t.filtered, 1); // max overall score\n t.argmax = tf.argMax(t.filtered, 1); // class index of max overall score\n let id = 0;\n t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes as Tensor2D, t.max as Tensor1D, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);\n const nms = await t.nms.data();\n const scores = await t.max.data();\n const classNum = await t.argmax.data();\n for (const nmsIndex of Array.from(nms)) { // generates results for each class\n const boxSlice = tf.slice(t.boxes, nmsIndex, 1);\n const boxYX = await boxSlice.data();\n tf.dispose(boxSlice);\n const boxData: Box = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; // yx box reshaped to standard box\n const boxRaw: Box = box.scale(boxData, detectorExpandFact);\n const boxFull: Box = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])];\n const score = scores[nmsIndex];\n const label = classes[classNum[nmsIndex]] as HandType;\n const hand: HandDetectResult = { id: id++, score, box: boxFull, boxRaw, label };\n hands.push(hand);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n hands.sort((a, b) => b.score - a.score);\n if (hands.length > (config.hand.maxDetected || 1)) hands.length = (config.hand.maxDetected || 1);\n return hands;\n}\n\nasync function detectFingers(input: Tensor4D, h: HandDetectResult, config: Config): Promise {\n const hand: HandResult = { // initial values inherited from hand detect\n id: h.id,\n score: Math.round(100 * h.score) / 100,\n boxScore: Math.round(100 * h.score) / 100,\n fingerScore: 0,\n box: h.box,\n boxRaw: h.boxRaw,\n label: h.label,\n keypoints: [],\n landmarks: {} as HandResult['landmarks'],\n annotations: {} as HandResult['annotations'],\n };\n if (input && models[1] && config.hand.landmarks && h.score > (config.hand.minConfidence || 0)) {\n const t: Record = {};\n const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]] as Box;\n t.crop = tf.image.cropAndResize(input, [boxCrop], [0], [inputSize[1][0], inputSize[1][1]], 'bilinear');\n t.div = tf.div(t.crop, constants.tf255);\n [t.score, t.keypoints] = models[1].execute(t.div, ['Identity_1', 'Identity']) as Tensor[];\n const rawScore = (await t.score.data())[0];\n const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; // reverse sigmoid value\n if (score >= (config.hand.minConfidence || 0)) {\n hand.fingerScore = score;\n t.reshaped = tf.reshape(t.keypoints, [-1, 3]);\n const coordsData: Point[] = await t.reshaped.array() as Point[];\n const coordsRaw: Point[] = coordsData.map((kpt) => [kpt[0] / inputSize[1][1], kpt[1] / inputSize[1][0], (kpt[2] || 0)]);\n const coordsNorm: Point[] = coordsRaw.map((kpt) => [kpt[0] * h.boxRaw[2], kpt[1] * h.boxRaw[3], (kpt[2] || 0)]);\n hand.keypoints = (coordsNorm).map((kpt) => [outputSize[0] * (kpt[0] + h.boxRaw[0]), outputSize[1] * (kpt[1] + h.boxRaw[1]), (kpt[2] || 0)]);\n hand.landmarks = fingerPose.analyze(hand.keypoints) as HandResult['landmarks']; // calculate finger gestures\n for (const key of Object.keys(fingerMap)) { // map keypoints to per-finger annotations\n hand.annotations[key] = fingerMap[key].map((index: number) => (hand.landmarks && hand.keypoints[index] ? hand.keypoints[index] : null));\n }\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n }\n return hand;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!models[0]?.['executor'] || !models[1]?.['executor'] || !models[0].inputs[0].shape || !models[1].inputs[0].shape) return []; // something is wrong with the model\n outputSize = [input.shape[2] || 0, input.shape[1] || 0];\n skipped++; // increment skip frames\n const skipTime = (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.hand.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n return cache.hands; // return cached results without running anything\n }\n return new Promise(async (resolve) => {\n const skipTimeExtended = 3 * (config.hand.skipTime || 0) > (now() - lastTime);\n const skipFrameExtended = skipped < 3 * (config.hand.skipFrames || 0);\n if (config.skipAllowed && cache.hands.length === config.hand.maxDetected) { // we have all detected hands so we're definitely skipping\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n } else if (config.skipAllowed && skipTimeExtended && skipFrameExtended && cache.hands.length > 0) { // we have some cached results: maybe not enough but anyhow continue for bit longer\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n } else { // finally rerun detector\n cache.boxes = await detectHands(input, config);\n lastTime = now();\n cache.hands = await Promise.all(cache.boxes.map((handBox) => detectFingers(input, handBox, config)));\n skipped = 0;\n }\n\n const oldCache = [...cache.boxes];\n cache.boxes.length = 0; // reset cache\n if (config.cacheSensitivity > 0) {\n for (let i = 0; i < cache.hands.length; i++) {\n const boxKpt = box.square(cache.hands[i].keypoints, outputSize);\n if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache.hands[i].fingerScore && cache.hands[i].fingerScore > (config.hand.minConfidence || 0)) {\n const boxScale = box.scale(boxKpt.box, boxExpandFact);\n const boxScaleRaw = box.scale(boxKpt.boxRaw, boxExpandFact);\n // const boxCrop = box.crop(boxScaleRaw);\n cache.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw });\n }\n }\n }\n for (let i = 0; i < cache.hands.length; i++) { // replace detected boxes with calculated boxes in final output\n const bbox = box.calc(cache.hands[i].keypoints, outputSize);\n cache.hands[i].box = bbox.box;\n cache.hands[i].boxRaw = bbox.boxRaw;\n }\n resolve(cache.hands);\n });\n}\n", "/**\n * Type definitions for Human result object\n */\n\nimport type { Tensor } from './tfjs/types';\nimport type { FaceGesture, BodyGesture, HandGesture, IrisGesture } from './gesture/gesture';\nimport type { AnyCanvas } from './exports';\n\n/** generic box as [x, y, width, height] */\nexport type Box = [number, number, number, number];\n/** generic point as [x, y, z?] */\nexport type Point = [number, number, number?];\n\nexport type Emotion = 'angry' | 'disgust' | 'fear' | 'happy' | 'sad' | 'surprise' | 'neutral';\nexport type Gender = 'male' | 'female' | 'unknown';\nexport type Race = 'white' | 'black' | 'asian' | 'indian' | 'other';\nexport type FaceLandmark = 'leftEye' | 'rightEye' | 'nose' | 'mouth' | 'leftEar' | 'rightEar' | 'symmetryLine' | 'silhouette'\n | 'lipsUpperOuter' | 'lipsLowerOuter' | 'lipsUpperInner' | 'lipsLowerInner'\n | 'rightEyeUpper0' | 'rightEyeLower0' | 'rightEyeUpper1' | 'rightEyeLower1' | 'rightEyeUpper2' | 'rightEyeLower2' | 'rightEyeLower3' | 'rightEyebrowUpper' | 'rightEyebrowLower' | 'rightEyeIris'\n | 'leftEyeUpper0' | 'leftEyeLower0' | 'leftEyeUpper1' | 'leftEyeLower1' | 'leftEyeUpper2' | 'leftEyeLower2' | 'leftEyeLower3' | 'leftEyebrowUpper' | 'leftEyebrowLower' | 'leftEyeIris'\n | 'midwayBetweenEyes' | 'noseTip' | 'noseBottom' | 'noseRightCorner' | 'noseLeftCorner' | 'rightCheek' | 'leftCheek';\n\n/** Face results\n * - Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models\n * - Some values may be null if specific model is not enabled\n */\nexport interface FaceResult {\n /** face id */\n id: number\n /** overall face score */\n score: number,\n /** detection score */\n boxScore: number,\n /** mesh score */\n faceScore: number,\n /** detected face box */\n box: Box,\n /** detected face box normalized to 0..1 */\n boxRaw: Box,\n /** detected face box size */\n size: [number, number],\n /** detected face mesh */\n mesh: Point[]\n /** detected face mesh normalized to 0..1 */\n meshRaw: Point[],\n /** face contours as array of 2d points normalized to 0..1 */\n // contoursRaw: Array<[number, number]>,\n /** face contours as array of 2d points */\n // contours: Array<[number, number]>,\n /** mesh keypoints combined into annotated results */\n annotations: Record,\n /** detected age */\n age?: number,\n /** detected gender */\n gender?: Gender,\n /** gender detection score */\n genderScore?: number,\n /** detected emotions */\n emotion?: { score: number, emotion: Emotion }[],\n /** detected race */\n race?: { score: number, race: Race }[],\n /** face descriptor */\n embedding?: number[],\n /** face distance from camera */\n distance?: number,\n /** face anti-spoofing result confidence */\n real?: number,\n /** face liveness result confidence */\n live?: number,\n /** face rotation details */\n rotation?: {\n angle: { roll: number, yaw: number, pitch: number },\n matrix: [number, number, number, number, number, number, number, number, number],\n gaze: { bearing: number, strength: number },\n } | null,\n /** detected face as tensor that can be used in further pipelines */\n tensor?: Tensor,\n}\n\nexport type BodyLandmarkPoseNet = 'nose' | 'leftEye' | 'rightEye' | 'leftEar' | 'rightEar' | 'leftShoulder' | 'rightShoulder' | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle';\nexport type BodyLandmarkMoveNet = 'nose' | 'leftEye' | 'rightEye' | 'leftEar' | 'rightEar' | 'leftShoulder' | 'rightShoulder' | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle';\nexport type BodyLandmarkEfficientNet = 'head' | 'neck' | 'rightShoulder' | 'rightElbow' | 'rightWrist' | 'chest' | 'leftShoulder' | 'leftElbow' | 'leftWrist' | 'bodyCenter' | 'rightHip' | 'rightKnee' | 'rightAnkle' | 'leftHip' | 'leftKnee' | 'leftAnkle';\nexport type BodyLandmarkBlazePose = 'nose' | 'leftEyeInside' | 'leftEye' | 'leftEyeOutside' | 'rightEyeInside' | 'rightEye' | 'rightEyeOutside' | 'leftEar' | 'rightEar' | 'leftMouth' | 'rightMouth' | 'leftShoulder' | 'rightShoulder'\n | 'leftElbow' | 'rightElbow' | 'leftWrist' | 'rightWrist' | 'leftPinky' | 'rightPinky' | 'leftIndex' | 'rightIndex' | 'leftThumb' | 'rightThumb' | 'leftHip' | 'rightHip' | 'leftKnee' | 'rightKnee' | 'leftAnkle' | 'rightAnkle'\n | 'leftHeel' | 'rightHeel' | 'leftFoot' | 'rightFoot' | 'bodyCenter' | 'bodyTop' | 'leftPalm' | 'leftHand' | 'rightPalm' | 'rightHand';\nexport type BodyLandmark = BodyLandmarkPoseNet | BodyLandmarkMoveNet | BodyLandmarkEfficientNet | BodyLandmarkBlazePose;\nexport type BodyAnnotationBlazePose = 'leftLeg' | 'rightLeg' | 'torso' | 'leftArm' | 'rightArm' | 'leftEye' | 'rightEye' | 'mouth';\nexport type BodyAnnotationEfficientPose = 'leftLeg' | 'rightLeg' | 'torso' | 'leftArm' | 'rightArm' | 'head';\nexport type BodyAnnotation = BodyAnnotationBlazePose | BodyAnnotationEfficientPose;\n\n/** Body Result keypoints */\nexport interface BodyKeypoint {\n /** body part name */\n part: BodyLandmark,\n /** body part position */\n position: Point,\n /** body part position normalized to 0..1 */\n positionRaw: Point,\n /** body part position relative to body center in meters */\n distance?: Point,\n /** body part detection score */\n score: number,\n}\n\n/** Body results */\nexport interface BodyResult {\n /** body id */\n id: number,\n /** body detection score */\n score: number,\n /** detected body box */\n box: Box,\n /** detected body box normalized to 0..1 */\n boxRaw: Box,\n /** detected body keypoints */\n keypoints: BodyKeypoint[]\n /** detected body keypoints combined into annotated parts */\n annotations: Record,\n}\n\nexport type HandType = 'hand' | 'fist' | 'pinch' | 'point' | 'face' | 'tip' | 'pinchtip';\nexport type Finger = 'index' | 'middle' | 'pinky' | 'ring' | 'thumb' | 'palm';\nexport type FingerCurl = 'none' | 'half' | 'full';\nexport type FingerDirection = 'verticalUp' | 'verticalDown' | 'horizontalLeft' | 'horizontalRight' | 'diagonalUpRight' | 'diagonalUpLeft' | 'diagonalDownRight' | 'diagonalDownLeft';\n\n/** Hand results */\nexport interface HandResult {\n /** hand id */\n id: number,\n /** hand overal score */\n score: number,\n /** hand detection score */\n boxScore: number,\n /** hand skelton score */\n fingerScore: number,\n /** detected hand box */\n box: Box,\n /** detected hand box normalized to 0..1 */\n boxRaw: Box,\n /** detected hand keypoints */\n keypoints: Point[],\n /** detected hand class */\n label: HandType,\n /** detected hand keypoints combined into annotated parts */\n annotations: Record,\n /** detected hand parts annotated with part gestures */\n landmarks: Record,\n}\n\nexport type ObjectType = 'person' | 'bicycle' | 'car' | 'motorcycle' | 'airplane' | 'bus' | 'train' | 'truck' | 'boat' | 'traffic light' | 'fire hydrant' | 'stop sign' | 'parking meter'\n | 'bench' | 'bird' | 'cat' | 'dog' | 'horse' | 'sheep' | 'cow' | 'elephant' | 'bear' | 'zebra' | 'giraffe' | 'backpack' | 'umbrella' | 'handbag' | 'tie' | 'suitcase' | 'frisbee'\n | 'skis' | 'snowboard' | 'sports ball' | 'kite' | 'baseball bat' | 'baseball glove' | 'skateboard' | 'surfboard' | 'tennis racket' | 'bottle' | 'wine glass' | 'cup' | 'fork'\n | 'knife' | 'spoon' | 'bowl' | 'banana' | 'apple' | 'sandwich' | 'orange' | 'broccoli' | 'carrot' | 'hot dog' | 'pizza' | 'donut' | 'cake' | 'chair' | 'couch' | 'potted plant'\n | 'bed' | 'dining table' | 'toilet' | 'tv' | 'laptop' | 'mouse' | 'remote' | 'keyboard' | 'cell phone' | 'microwave' | 'oven' | 'toaster' | 'sink' | 'refrigerator' | 'book'\n | 'clock' | 'vase' | 'scissors' | 'teddy bear' | 'hair drier' | 'toothbrush';\n\n/** Object results */\nexport interface ObjectResult {\n /** object id */\n id: number,\n /** object detection score */\n score: number,\n /** detected object class id */\n class: number,\n /** detected object class name */\n label: ObjectType,\n /** detected object box */\n box: Box,\n /** detected object box normalized to 0..1 */\n boxRaw: Box,\n}\n\n/** Gesture combined results\n * Each result has:\n * - part: part name and number where gesture was detected: `face`, `iris`, `body`, `hand`\n * - gesture: gesture detected\n */\nexport type GestureResult =\n { 'face': number, gesture: FaceGesture }\n | { 'iris': number, gesture: IrisGesture }\n | { 'body': number, gesture: BodyGesture }\n | { 'hand': number, gesture: HandGesture }\n\n/** Person getter\n* - Triggers combining all individual results into a virtual person object\n*/\nexport interface PersonResult {\n /** person id */\n id: number,\n /** face result that belongs to this person */\n face: FaceResult,\n /** body result that belongs to this person */\n body: BodyResult | null,\n /** left and right hand results that belong to this person */\n hands: { left: HandResult | null, right: HandResult | null },\n /** detected gestures specific to this person */\n gestures: GestureResult[],\n /** box that defines the person */\n box: Box,\n /** box that defines the person normalized to 0..1 */\n boxRaw?: Box,\n}\n\n/**\n * Result interface definition for **Human** library\n *\n * Contains all possible detection results\n */\nexport interface Result {\n /** {@link FaceResult}: detection & analysis results */\n face: FaceResult[],\n /** {@link BodyResult}: detection & analysis results */\n body: BodyResult[],\n /** {@link HandResult}: detection & analysis results */\n hand: HandResult[],\n /** {@link GestureResult}: detection & analysis results */\n gesture: GestureResult[],\n /** {@link ObjectResult}: detection & analysis results */\n object: ObjectResult[]\n /** global performance object with timing values for each operation */\n performance: Record,\n /** optional processed canvas that can be used to draw input on screen */\n canvas?: AnyCanvas | null,\n /** timestamp of detection representing the milliseconds elapsed since the UNIX epoch */\n readonly timestamp: number,\n /** getter property that returns unified persons object */\n persons: PersonResult[],\n /** Last known error message */\n error: string | null;\n /** Resolution width */\n width: number,\n /** Resolution height */\n height: number,\n}\n\nexport const empty = (error: string | null = null): Result => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error });\n", "export const kpt: string[] = [ // used to create part labels\n 'nose',\n 'leftEye',\n 'rightEye',\n 'leftEar',\n 'rightEar',\n 'leftShoulder',\n 'rightShoulder',\n 'leftElbow',\n 'rightElbow',\n 'leftWrist',\n 'rightWrist',\n 'leftHip',\n 'rightHip',\n 'leftKnee',\n 'rightKnee',\n 'leftAnkle',\n 'rightAnkle',\n];\n\nexport const horizontal: string[][] = [ // used to fix left vs right\n ['leftEye', 'rightEye'],\n ['leftEar', 'rightEar'],\n ['leftShoulder', 'rightShoulder'],\n ['leftElbow', 'rightElbow'],\n ['leftWrist', 'rightWrist'],\n ['leftHip', 'rightHip'],\n ['leftKnee', 'rightKnee'],\n ['leftAnkle', 'rightAnkle'],\n];\n\nexport const vertical: string[][] = [ // used to remove unlikely keypoint positions\n ['leftKnee', 'leftShoulder'],\n ['rightKnee', 'rightShoulder'],\n ['leftAnkle', 'leftKnee'],\n ['rightAnkle', 'rightKnee'],\n];\n\nexport const relative: string[][][] = [ // used to match relative body parts\n [['leftHip', 'rightHip'], ['leftShoulder', 'rightShoulder']],\n [['leftElbow', 'rightElbow'], ['leftShoulder', 'rightShoulder']],\n];\n\nexport const connected: Record = { // used to create body outline in annotations\n leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],\n rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],\n torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],\n rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],\n head: [],\n};\n", "/**\n * Results interpolation for smoothening of video detection results inbetween detected frames\n */\n\nimport { Result, FaceResult, BodyResult, HandResult, ObjectResult, PersonResult, Box, Point, BodyLandmark, BodyAnnotation, empty, FaceLandmark } from '../result';\nimport type { Config } from '../config';\n\nimport * as moveNetCoords from '../body/movenetcoords';\nimport * as blazePoseCoords from '../body/blazeposecoords';\nimport * as efficientPoseCoords from '../body/efficientposecoords';\nimport { now } from './util';\nimport { env } from './env';\n\nconst bufferedResult: Result = empty();\nlet interpolateTime = 0;\n\nexport function calc(newResult: Result, config: Config): Result {\n const t0 = now();\n if (!newResult) return empty();\n // each record is only updated using deep clone when number of detected record changes, otherwise it will converge by itself\n // otherwise bufferedResult is a shallow clone of result plus updated local calculated values\n // thus mixing by-reference and by-value assignments to minimize memory operations\n\n const elapsed = Date.now() - newResult.timestamp;\n\n /* curve fitted: buffer = 8 - ln(delay)\n interpolation formula: current = ((buffer - 1) * previous + live) / buffer\n - at 50ms delay buffer = ~4.1 => 28% towards live data\n - at 250ms delay buffer = ~2.5 => 40% towards live data\n - at 500ms delay buffer = ~1.8 => 55% towards live data\n - at 750ms delay buffer = ~1.4 => 71% towards live data\n - at 1sec delay buffer = 1 which means live data is used\n */\n const bufferedFactor = elapsed < 1000 ? 8 - Math.log(elapsed + 1) : 1;\n\n if (newResult.canvas) bufferedResult.canvas = newResult.canvas;\n if (newResult.error) bufferedResult.error = newResult.error;\n\n // interpolate body results\n if (!bufferedResult.body || (newResult.body.length !== bufferedResult.body.length)) {\n bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)) as BodyResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.body.length; i++) {\n const box = newResult.body[i].box // update box\n .map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor) as Box;\n const boxRaw = newResult.body[i].boxRaw // update boxRaw\n .map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor) as Box;\n const keypoints = (newResult.body[i].keypoints // update keypoints\n .map((newKpt, j) => ({\n score: newKpt.score,\n part: newKpt.part,\n position: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2],\n ],\n positionRaw: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2],\n ],\n distance: [\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[0] || 0) + (newKpt.distance?.[0] || 0)) / bufferedFactor : newKpt.distance?.[0],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[1] || 0) + (newKpt.distance?.[1] || 0)) / bufferedFactor : newKpt.distance?.[1],\n bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].distance?.[2] || 0) + (newKpt.distance?.[2] || 0)) / bufferedFactor : newKpt.distance?.[2],\n ],\n }))) as { score: number, part: BodyLandmark, position: [number, number, number?], positionRaw: [number, number, number?] }[];\n\n const annotations: Record = {} as Record; // recreate annotations\n let coords = { connected: {} };\n if (config.body.modelPath?.includes('efficientpose')) coords = efficientPoseCoords;\n else if (config.body.modelPath?.includes('blazepose')) coords = blazePoseCoords;\n else if (config.body.modelPath?.includes('movenet')) coords = moveNetCoords;\n for (const [name, indexes] of Object.entries(coords.connected as Record)) {\n const pt: Point[][] = [];\n for (let j = 0; j < indexes.length - 1; j++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[j]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]);\n // if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n if (pt0 && pt1) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations }; // shallow clone plus updated values\n }\n }\n\n // interpolate hand results\n if (!bufferedResult.hand || (newResult.hand.length !== bufferedResult.hand.length)) {\n bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); // deep clone once\n } else {\n for (let i = 0; i < newResult.hand.length; i++) {\n const box = (newResult.hand[i].box// update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.hand[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; // reset keypoints as previous frame did not have them\n const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints // update landmarks\n .map((landmark, j) => landmark\n .map((coord, k) => (((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) as Point)\n : [];\n let annotations = {};\n if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) {\n bufferedResult.hand[i].annotations = newResult.hand[i].annotations; // reset annotations as previous frame did not have them\n annotations = bufferedResult.hand[i].annotations;\n } else if (newResult.hand[i].annotations) {\n for (const key of Object.keys(newResult.hand[i].annotations)) { // update annotations\n annotations[key] = newResult.hand[i]?.annotations?.[key]?.[0]\n ? newResult.hand[i].annotations[key]\n .map((val, j: number) => val\n .map((coord: number, k: number) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor))\n : null;\n }\n }\n bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations as HandResult['annotations'] }; // shallow clone plus updated values\n }\n }\n\n // interpolate face results\n if (!bufferedResult.face || (newResult.face.length !== bufferedResult.face.length)) {\n bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)) as FaceResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.face.length; i++) {\n const box = (newResult.face[i].box // update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.face[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n let annotations: Record = newResult.face[i].annotations;\n if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) {\n bufferedResult.face[i].annotations = newResult.face[i].annotations; // reset annotations as previous frame did not have them\n annotations = bufferedResult.face[i].annotations;\n } else if (newResult.face[i].annotations) {\n for (const key of Object.keys(newResult.face[i].annotations)) { // update annotations\n annotations[key] = newResult.face[i]?.annotations?.[key]?.[0]\n ? newResult.face[i].annotations[key]\n .map((val, j: number) => val\n .map((coord: number, k: number) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor))\n : null;\n }\n }\n if (newResult.face[i].rotation) {\n const rotation: {\n matrix: [number, number, number, number, number, number, number, number, number],\n angle: { roll: number, yaw: number, pitch: number },\n gaze: { bearing: number, strength: number }\n } = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } };\n rotation.matrix = newResult.face[i].rotation?.matrix as [number, number, number, number, number, number, number, number, number];\n rotation.angle = {\n roll: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.roll || 0) + (newResult.face[i].rotation?.angle?.roll || 0)) / bufferedFactor,\n yaw: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.yaw || 0) + (newResult.face[i].rotation?.angle?.yaw || 0)) / bufferedFactor,\n pitch: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.angle?.pitch || 0) + (newResult.face[i].rotation?.angle?.pitch || 0)) / bufferedFactor,\n };\n rotation.gaze = {\n // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive\n bearing: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.gaze.bearing || 0) + (newResult.face[i].rotation?.gaze.bearing || 0)) / bufferedFactor,\n strength: ((bufferedFactor - 1) * (bufferedResult.face[i].rotation?.gaze.strength || 0) + (newResult.face[i].rotation?.gaze.strength || 0)) / bufferedFactor,\n };\n bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations }; // shallow clone plus updated values\n } else {\n bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations }; // shallow clone plus updated values\n }\n }\n }\n\n // interpolate object detection results\n if (!bufferedResult.object || (newResult.object.length !== bufferedResult.object.length)) {\n bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)) as ObjectResult[]; // deep clone once\n } else {\n for (let i = 0; i < newResult.object.length; i++) {\n const box = (newResult.object[i].box // update box\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor)) as Box;\n const boxRaw = (newResult.object[i].boxRaw // update boxRaw\n .map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor)) as Box;\n bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; // shallow clone plus updated values\n }\n }\n\n // interpolate person results\n if (newResult.persons) {\n const newPersons = newResult.persons; // trigger getter function\n if (!bufferedResult.persons || (newPersons.length !== bufferedResult.persons.length)) {\n bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)) as PersonResult[];\n } else {\n for (let i = 0; i < newPersons.length; i++) { // update person box, we don't update the rest as it's updated as reference anyhow\n bufferedResult.persons[i].box = (newPersons[i].box\n .map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor)) as Box;\n }\n }\n }\n\n // copy latest gestures without interpolation\n if (newResult.gesture) bufferedResult.gesture = newResult.gesture;\n\n // copy resolution info\n bufferedResult.width = newResult.width;\n bufferedResult.height = newResult.height;\n\n // append interpolation performance data\n const t1 = now();\n interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0);\n if (newResult.performance) bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime };\n\n return bufferedResult;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return null; // something is wrong with the model\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n t.norm = tf.div(t.resize, constants.tf255);\n t.res = model.execute(t.norm) as Tensor;\n t.squeeze = tf.squeeze(t.res, [0]);\n // t.softmax = tf.softmax(t.squeeze); // model meet has two channels for fg and bg\n [t.bgRaw, t.fgRaw] = tf.unstack(t.squeeze, 2);\n // t.bg = tf.softmax(t.bgRaw); // we can ignore bg channel\n t.fg = tf.softmax(t.fgRaw);\n t.mul = tf.mul(t.fg, constants.tf255);\n t.expand = tf.expandDims(t.mul, 2);\n t.output = tf.image.resizeBilinear(t.expand as Tensor4D, [input.shape[1] || 0, input.shape[2] || 0]);\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n t.input = tf.squeeze(input);\n t.concat = tf.concat([t.input, t.output], -1);\n rgba = tf.cast(t.concat, 'int32'); // combined original with alpha\n break;\n case 'alpha':\n rgba = tf.cast(t.output, 'int32'); // just get alpha value from model\n break;\n default:\n rgba = tf.tensor(0);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return rgba;\n}\n", "/** Face descriptor type as number array */\nexport type Descriptor = number[]\nexport type MatchOptions = { order?: number, threshold?: number, multiplier?: number, min?: number, max?: number } | undefined;\n\n/** Calculates distance between two descriptors\n * @param options - calculation options\n * - order - algorithm to use\n * Euclidean distance if `order` is 2 (default), Minkowski distance algorithm of nth order if `order` is higher than 2\n * - multiplier - by how much to enhance difference analysis in range of 1..100\n * default is 20 which normalizes results to similarity above 0.5 can be considered a match\n */\nexport function distance(descriptor1: Descriptor, descriptor2: Descriptor, options: MatchOptions = { order: 2, multiplier: 25 }) {\n // general minkowski distance, euclidean distance is limited case where order is 2\n if (!descriptor1 || !descriptor1) return Number.MAX_SAFE_INTEGER;\n let sum = 0;\n for (let i = 0; i < descriptor1.length; i++) {\n const diff = (!options.order || options.order === 2) ? (descriptor1[i] - descriptor2[i]) : (Math.abs(descriptor1[i] - descriptor2[i]));\n sum += (!options.order || options.order === 2) ? (diff * diff) : (diff ** options.order);\n }\n return (options.multiplier || 20) * sum;\n}\n\n// invert distance to similarity, normalize to given range and clamp\nconst normalizeDistance = (dist, order, min, max) => {\n if (dist === 0) return 1; // short circuit for identical inputs\n const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); // take root of distance\n const norm = (1 - (root / 100) - min) / (max - min); // normalize to range\n const clamp = Math.max(Math.min(norm, 1), 0); // clamp to 0..1\n return clamp;\n};\n\n/** Calculates normalized similarity between two face descriptors based on their `distance`\n * @param options - calculation options\n * - order - algorithm to use\n * Euclidean distance if `order` is 2 (default), Minkowski distance algorithm of nth order if `order` is higher than 2\n * - multiplier - by how much to enhance difference analysis in range of 1..100\n * default is 20 which normalizes results to similarity above 0.5 can be considered a match\n * - min - normalize similarity result to a given range\n * - max - normalzie similarity resutl to a given range\n * default is 0.2...0.8\n * Returns similarity between two face descriptors normalized to 0..1 range where 0 is no similarity and 1 is perfect similarity\n */\nexport function similarity(descriptor1: Descriptor, descriptor2: Descriptor, options: MatchOptions = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) {\n const dist = distance(descriptor1, descriptor2, options);\n return normalizeDistance(dist, options.order || 2, options.min || 0, options.max || 1);\n}\n\n/** Matches given descriptor to a closest entry in array of descriptors\n * @param descriptor - face descriptor\n * @param descriptors - array of face descriptors to commpare given descriptor to\n * @param options - see `similarity` method for options description\n * Returns\n * - `index` index array index where best match was found or -1 if no matches\n * - `distance` calculated `distance` of given descriptor to the best match\n * - `similarity` calculated normalized `similarity` of given descriptor to the best match\n*/\nexport function find(descriptor: Descriptor, descriptors: Descriptor[], options: MatchOptions = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) {\n if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { // validate input\n return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 };\n }\n let lowestDistance = Number.MAX_SAFE_INTEGER;\n let index = -1;\n for (let i = 0; i < descriptors.length; i++) {\n const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options) : Number.MAX_SAFE_INTEGER;\n if (res < lowestDistance) {\n lowestDistance = res;\n index = i;\n }\n if (lowestDistance < (options.threshold || 0)) break;\n }\n const normalizedSimilarity = normalizeDistance(lowestDistance, options.order || 2, options.min || 0, options.max || 1);\n return { index, distance: lowestDistance, similarity: normalizedSimilarity };\n}\n", "/**\n * Loader and Validator for all models used by Human\n */\n\nimport { env } from './util/env';\nimport { log } from './util/util';\nimport * as antispoof from './face/antispoof';\nimport * as blazeface from './face/blazeface';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as efficientpose from './body/efficientpose';\nimport * as emotion from './gear/emotion';\nimport * as facemesh from './face/facemesh';\nimport * as faceres from './face/faceres';\nimport * as gear from './gear/gear';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as insightface from './face/insightface';\nimport * as iris from './face/iris';\nimport * as liveness from './face/liveness';\nimport * as meet from './segmentation/meet';\nimport * as mobilefacenet from './face/mobilefacenet';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as posenet from './body/posenet';\nimport * as rvm from './segmentation/rvm';\nimport * as selfie from './segmentation/selfie';\nimport * as ssrnetAge from './gear/ssrnet-age';\nimport * as ssrnetGender from './gear/ssrnet-gender';\nimport { modelStats, ModelInfo } from './tfjs/load';\nimport type { GraphModel } from './tfjs/types';\nimport type { Human } from './human';\n\nexport interface KernelOps { name: string, url: string, missing: string[], ops: string[] }\n\nexport function validateModel(instance: Human | null, model: GraphModel | null, name: string): KernelOps | null {\n if (!model) return null;\n if (!instance?.config?.validateModels) return null;\n const simpleOps = ['const', 'placeholder', 'noop', 'pad', 'squeeze', 'add', 'sub', 'mul', 'div'];\n const ignoreOps = ['biasadd', 'fusedbatchnormv3', 'matmul', 'switch', 'shape', 'merge', 'split', 'broadcastto'];\n const ops: string[] = [];\n const missing: string[] = [];\n interface Op { name: string, category: string, op: string }\n const url = model['modelUrl'] as string;\n const executor = model['executor'];\n if (executor?.graph?.nodes) {\n for (const kernel of Object.values(executor.graph.nodes)) {\n const op = (kernel as Op).op.toLowerCase();\n if (!ops.includes(op)) ops.push(op);\n }\n } else {\n if (!executor && instance.config.debug) {\n log('model not loaded', name);\n }\n }\n for (const op of ops) {\n if (!simpleOps.includes(op) // exclude simple ops\n && !ignoreOps.includes(op) // exclude specific ops\n && !instance.env.kernels.includes(op) // check actual kernel ops\n && !instance.env.kernels.includes(op.replace('_', '')) // check variation without _\n && !instance.env.kernels.includes(op.replace('native', '')) // check standard variation\n && !instance.env.kernels.includes(op.replace('v2', ''))) { // check non-versioned variation\n missing.push(op);\n }\n }\n if (instance.config.debug && missing.length > 0) log('model validation failed:', name, missing);\n return missing.length > 0 ? { name, missing, ops, url } : null;\n}\n\n/** structure that holds global stats for currently loaded models */\nexport interface ModelStats {\n numLoadedModels: number,\n numDefinedModels: number,\n percentageLoaded: number,\n totalSizeFromManifest: number,\n totalSizeWeights: number,\n totalSizeLoading: number,\n modelStats: ModelInfo[],\n}\n\n/** Models class used by Human\n * - models: record of all GraphModels\n * - list: returns list of configured models with their stats\n * - loaded: returns array of loaded models\n * - reset: unloads all models\n * - validate: checks loaded models for valid kernel ops vs current backend\n * - stats: live detailed model stats that can be checked during model load phase\n */\nexport class Models {\n private instance: Human;\n models: Record = {};\n\n constructor(currentInstance: Human) {\n this.models = {};\n this.instance = currentInstance;\n }\n\n stats(): ModelStats {\n let totalSizeFromManifest = 0;\n let totalSizeWeights = 0;\n let totalSizeLoading = 0;\n for (const m of Object.values(modelStats)) {\n totalSizeFromManifest += m.sizeFromManifest;\n totalSizeWeights += m.sizeLoadedWeights;\n totalSizeLoading += m.sizeDesired;\n }\n const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0;\n return {\n numLoadedModels: Object.values(modelStats).length,\n numDefinedModels: Object.keys(this.models).length,\n percentageLoaded,\n totalSizeFromManifest,\n totalSizeWeights,\n totalSizeLoading,\n modelStats: Object.values(modelStats),\n };\n }\n\n reset(): void {\n for (const model of Object.keys(this.models)) this.models[model] = null;\n }\n\n async load(instance?: Human): Promise {\n if (env.initial) this.reset();\n if (instance) this.instance = instance;\n const m: Record> = {};\n // face main models\n m.blazeface = (this.instance.config.face.enabled && !this.models.blazeface) ? blazeface.load(this.instance.config) : null;\n m.antispoof = (this.instance.config.face.enabled && this.instance.config.face.antispoof?.enabled && !this.models.antispoof) ? antispoof.load(this.instance.config) : null;\n m.liveness = (this.instance.config.face.enabled && this.instance.config.face.liveness?.enabled && !this.models.liveness) ? liveness.load(this.instance.config) : null;\n m.faceres = (this.instance.config.face.enabled && this.instance.config.face.description?.enabled && !this.models.faceres) ? faceres.load(this.instance.config) : null;\n m.emotion = (this.instance.config.face.enabled && this.instance.config.face.emotion?.enabled && !this.models.emotion) ? emotion.load(this.instance.config) : null;\n m.iris = (this.instance.config.face.enabled && this.instance.config.face.iris?.enabled && !this.instance.config.face.attention?.enabled && !this.models.iris) ? iris.load(this.instance.config) : null;\n m.facemesh = (this.instance.config.face.enabled && this.instance.config.face.mesh?.enabled && (!this.models.facemesh)) ? facemesh.load(this.instance.config) : null;\n // face alternatives\n m.gear = (this.instance.config.face.enabled && this.instance.config.face['gear']?.enabled && !this.models.gear) ? gear.load(this.instance.config) : null;\n m.ssrnetage = (this.instance.config.face.enabled && this.instance.config.face['ssrnet']?.enabled && !this.models.ssrnetage) ? ssrnetAge.load(this.instance.config) : null;\n m.ssrnetgender = (this.instance.config.face.enabled && this.instance.config.face['ssrnet']?.enabled && !this.models.ssrnetgender) ? ssrnetGender.load(this.instance.config) : null;\n m.mobilefacenet = (this.instance.config.face.enabled && this.instance.config.face['mobilefacenet']?.enabled && !this.models.mobilefacenet) ? mobilefacenet.load(this.instance.config) : null;\n m.insightface = (this.instance.config.face.enabled && this.instance.config.face['insightface']?.enabled && !this.models.insightface) ? insightface.load(this.instance.config) : null;\n // body alterinatives\n m.blazepose = (this.instance.config.body.enabled && !this.models.blazepose && this.instance.config.body.modelPath?.includes('blazepose')) ? blazepose.loadPose(this.instance.config) : null;\n m.blazeposedetect = (this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body['detector'] && this.instance.config.body['detector'].modelPath) ? blazepose.loadDetect(this.instance.config) : null;\n m.efficientpose = (this.instance.config.body.enabled && !this.models.efficientpose && this.instance.config.body.modelPath?.includes('efficientpose')) ? efficientpose.load(this.instance.config) : null;\n m.movenet = (this.instance.config.body.enabled && !this.models.movenet && this.instance.config.body.modelPath?.includes('movenet')) ? movenet.load(this.instance.config) : null;\n m.posenet = (this.instance.config.body.enabled && !this.models.posenet && this.instance.config.body.modelPath?.includes('posenet')) ? posenet.load(this.instance.config) : null;\n // hand alternatives\n m.handtrack = (this.instance.config.hand.enabled && !this.models.handtrack && this.instance.config.hand.detector?.modelPath?.includes('handtrack')) ? handtrack.loadDetect(this.instance.config) : null;\n m.handskeleton = (this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && this.instance.config.hand.detector?.modelPath?.includes('handtrack')) ? handtrack.loadSkeleton(this.instance.config) : null;\n if (this.instance.config.hand.detector?.modelPath?.includes('handdetect')) [m.handpose, m.handskeleton] = (!this.models.handpose) ? await handpose.load(this.instance.config) : [null, null];\n // object detection alternatives\n m.centernet = (this.instance.config.object.enabled && !this.models.centernet && this.instance.config.object.modelPath?.includes('centernet')) ? centernet.load(this.instance.config) : null;\n m.nanodet = (this.instance.config.object.enabled && !this.models.nanodet && this.instance.config.object.modelPath?.includes('nanodet')) ? nanodet.load(this.instance.config) : null;\n // segmentation alternatives\n m.selfie = (this.instance.config.segmentation.enabled && !this.models.selfie && this.instance.config.segmentation.modelPath?.includes('selfie')) ? selfie.load(this.instance.config) : null;\n m.meet = (this.instance.config.segmentation.enabled && !this.models.meet && this.instance.config.segmentation.modelPath?.includes('meet')) ? meet.load(this.instance.config) : null;\n m.rvm = (this.instance.config.segmentation.enabled && !this.models.rvm && this.instance.config.segmentation.modelPath?.includes('rvm')) ? rvm.load(this.instance.config) : null;\n\n // models are loaded in parallel asynchronously so lets wait until they are actually loaded\n for (const [model, promise] of Object.entries(m)) {\n if (promise?.['then']) promise['then']((val) => this.models[model] = val);\n }\n await Promise.all(Object.values(m)); // wait so this function does not resolve prematurely\n }\n\n list() {\n const models = Object.keys(this.models).map((model) => ({ name: model, loaded: (this.models[model] !== null), size: 0, url: this.models[model] ? this.models[model]?.['modelUrl'] : null }));\n for (const m of models) {\n const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name));\n if (!stats) continue;\n m.size = modelStats[stats].sizeLoadedWeights;\n m.url = modelStats[stats].url;\n }\n return models;\n }\n\n loaded() {\n const list = this.list();\n const loaded = list.filter((model) => model.loaded).map((model) => model.name);\n return loaded;\n }\n\n validate(): { name: string, missing: string[] }[] {\n const missing: KernelOps[] = [];\n for (const defined of Object.keys(this.models)) {\n const model: GraphModel | null = this.models[defined as keyof Models];\n if (!model) continue;\n const res = validateModel(this.instance, model, defined);\n if (res) missing.push(res);\n }\n return missing;\n }\n}\n", "import * as tf from 'dist/tfjs.esm.js';\nimport type { BodyKeypoint, BodyResult } from '../result';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport type { Tensor, Tensor3D } from '../tfjs/types';\n\nconst maxJitter = 0.005; // default allowed jitter is within 0.5%\n\nconst cache: {\n keypoints: BodyKeypoint[],\n padding: [number, number][];\n} = {\n keypoints: [],\n padding: [[0, 0], [0, 0], [0, 0], [0, 0]],\n};\n\nexport function bodyParts(body: BodyResult) { // model sometimes mixes up left vs right keypoints so we fix them\n for (const pair of coords.horizontal) { // fix body parts left vs right\n const left = body.keypoints.findIndex((kp) => kp.part === pair[0]);\n const right = body.keypoints.findIndex((kp) => kp.part === pair[1]);\n if (body.keypoints[left] && body.keypoints[right]) {\n if (body.keypoints[left].position[0] < body.keypoints[right].position[0]) {\n const tmp = body.keypoints[left];\n body.keypoints[left] = body.keypoints[right];\n body.keypoints[right] = tmp;\n }\n }\n }\n for (const pair of coords.vertical) { // remove body parts with improbable vertical position\n const lower = body.keypoints.findIndex((kp) => (kp && kp.part === pair[0]));\n const higher = body.keypoints.findIndex((kp) => (kp && kp.part === pair[1]));\n if (body.keypoints[lower] && body.keypoints[higher]) {\n if (body.keypoints[lower].position[1] < body.keypoints[higher].position[1]) {\n body.keypoints.splice(lower, 1);\n }\n }\n }\n for (const [pair, compare] of coords.relative) { // rearrange body parts according to their relative position\n const left = body.keypoints.findIndex((kp) => (kp && kp.part === pair[0]));\n const right = body.keypoints.findIndex((kp) => (kp && kp.part === pair[1]));\n const leftTo = body.keypoints.findIndex((kp) => (kp && kp.part === compare[0]));\n const rightTo = body.keypoints.findIndex((kp) => (kp && kp.part === compare[1]));\n if (!body.keypoints[leftTo] || !body.keypoints[rightTo]) continue; // only if we have both compare points\n const distanceLeft = body.keypoints[left] ? [\n Math.abs(body.keypoints[leftTo].position[0] - body.keypoints[left].position[0]),\n Math.abs(body.keypoints[rightTo].position[0] - body.keypoints[left].position[0]),\n ] : [0, 0];\n const distanceRight = body.keypoints[right] ? [\n Math.abs(body.keypoints[rightTo].position[0] - body.keypoints[right].position[0]),\n Math.abs(body.keypoints[leftTo].position[0] - body.keypoints[right].position[0]),\n ] : [0, 0];\n if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { // should flip keypoints\n const tmp = body.keypoints[left];\n body.keypoints[left] = body.keypoints[right];\n body.keypoints[right] = tmp;\n }\n }\n}\n\nexport function jitter(keypoints: BodyKeypoint[]): BodyKeypoint[] {\n for (let i = 0; i < keypoints.length; i++) {\n if (keypoints[i] && cache.keypoints[i]) {\n const diff = [Math.abs(keypoints[i].positionRaw[0] - cache.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache.keypoints[i].positionRaw[1])];\n if (diff[0] < maxJitter && diff[1] < maxJitter) {\n keypoints[i] = cache.keypoints[i]; // below jitter so replace keypoint\n } else {\n cache.keypoints[i] = keypoints[i]; // above jitter so update cache\n }\n } else {\n cache.keypoints[i] = keypoints[i]; // cache for keypoint doesnt exist so create it here\n }\n }\n return keypoints;\n}\n\nexport function padInput(input: Tensor, inputSize: number): Tensor {\n const t: Record = {};\n if (!input?.shape?.[1] || !input?.shape?.[2]) return input;\n cache.padding = [\n [0, 0], // dont touch batch\n [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], // height before&after\n [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], // width before&after\n [0, 0], // dont touch rbg\n ];\n t.pad = tf.pad(input, cache.padding);\n t.resize = tf.image.resizeBilinear(t.pad as Tensor3D, [inputSize, inputSize]);\n const final = tf.cast(t.resize, 'int32');\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return final;\n}\n\nexport function rescaleBody(body: BodyResult, outputSize: [number, number]): BodyResult {\n body.keypoints = body.keypoints.filter((kpt) => kpt?.position); // filter invalid keypoints\n for (const kpt of body.keypoints) {\n kpt.position = [\n kpt.position[0] * (outputSize[0] + cache.padding[2][0] + cache.padding[2][1]) / outputSize[0] - cache.padding[2][0],\n kpt.position[1] * (outputSize[1] + cache.padding[1][0] + cache.padding[1][1]) / outputSize[1] - cache.padding[1][0],\n ];\n kpt.positionRaw = [\n kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1],\n ];\n }\n const rescaledBoxes = box.calc(body.keypoints.map((pt) => pt.position), outputSize);\n body.box = rescaledBoxes.box;\n body.boxRaw = rescaledBoxes.boxRaw;\n return body;\n}\n", "/**\n * MoveNet model implementation\n *\n * Based on: [**MoveNet**](https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport * as fix from './movenetfix';\nimport { loadModel } from '../tfjs/load';\nimport type { BodyKeypoint, BodyResult, BodyLandmark, BodyAnnotation, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { fakeOps } from '../tfjs/backend';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nlet inputSize = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n// const boxExpandFact = 1.5; // increase to 150%\n\nconst cache: {\n boxes: Box[], // unused\n bodies: BodyResult[];\n last: number,\n} = {\n boxes: [],\n bodies: [],\n last: 0,\n};\n\nexport async function load(config: Config): Promise {\n if (env.initial) model = null;\n if (!model) {\n fakeOps(['size'], config);\n model = await loadModel(config.body.modelPath);\n } else if (config.debug) log('cached model:', model['modelUrl']);\n inputSize = (model?.['executor'] && model?.inputs?.[0].shape) ? model.inputs[0].shape[2] : 0;\n if (inputSize < 64) inputSize = 256;\n // @ts-ignore private property\n if (tf.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) tf.env().set('WEBGL_USE_SHAPES_UNIFORMS', false); // default=false \n return model;\n}\n\nfunction parseSinglePose(res, config, image) {\n const kpt = res[0][0];\n const keypoints: BodyKeypoint[] = [];\n let score = 0;\n for (let id = 0; id < kpt.length; id++) {\n score = kpt[id][2];\n if (score > config.body.minConfidence) {\n const positionRaw: Point = [kpt[id][1], kpt[id][0]];\n keypoints.push({\n score: Math.round(100 * score) / 100,\n part: coords.kpt[id] as BodyLandmark,\n positionRaw,\n position: [ // normalized to input image size\n Math.round((image.shape[2] || 0) * positionRaw[0]),\n Math.round((image.shape[1] || 0) * positionRaw[1]),\n ],\n });\n }\n }\n score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);\n const bodies: BodyResult[] = [];\n const newBox = box.calc(keypoints.map((pt) => pt.position), [image.shape[2], image.shape[1]]);\n const annotations: Record = {};\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[i]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n const body: BodyResult = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations };\n fix.bodyParts(body);\n bodies.push(body);\n return bodies;\n}\n\nfunction parseMultiPose(res, config, image) {\n const bodies: BodyResult[] = [];\n for (let id = 0; id < res[0].length; id++) {\n const kpt = res[0][id];\n const boxScore = Math.round(100 * kpt[51 + 4]) / 100;\n if (boxScore > config.body.minConfidence) {\n const keypoints: BodyKeypoint[] = [];\n for (let i = 0; i < 17; i++) {\n const score = kpt[3 * i + 2];\n if (score > config.body.minConfidence) {\n const positionRaw: Point = [kpt[3 * i + 1], kpt[3 * i + 0]];\n keypoints.push({\n part: coords.kpt[i] as BodyLandmark,\n score: Math.round(100 * score) / 100,\n positionRaw,\n position: [Math.round((image.shape[2] || 0) * positionRaw[0]), Math.round((image.shape[1] || 0) * positionRaw[1])],\n });\n }\n }\n // const newBox = box.calc(keypoints.map((pt) => pt.position), [image.shape[2], image.shape[1]]);\n // movenet-multipose has built-in box details\n const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]];\n const boxNorm: Box = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))];\n const annotations: Record = {} as Record;\n for (const [name, indexes] of Object.entries(coords.connected)) {\n const pt: Point[][] = [];\n for (let i = 0; i < indexes.length - 1; i++) {\n const pt0 = keypoints.find((kp) => kp.part === indexes[i]);\n const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);\n if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);\n }\n annotations[name] = pt;\n }\n // const body: BodyResult = { id, score: totalScore, box: newBox.box, boxRaw: newBox.boxRaw, keypoints: [...keypoints], annotations };\n const body: BodyResult = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations };\n fix.bodyParts(body);\n bodies.push(body);\n }\n }\n bodies.sort((a, b) => b.score - a.score);\n if (bodies.length > config.body.maxDetected) bodies.length = config.body.maxDetected;\n return bodies;\n}\n\nexport async function predict(input: Tensor, config: Config): Promise {\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return []; // something is wrong with the model\n if (!config.skipAllowed) cache.boxes.length = 0; // allowed to use cache or not\n skipped++; // increment skip frames\n const skipTime = (config.body.skipTime || 0) > (now() - cache.last);\n const skipFrame = skipped < (config.body.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame) {\n return cache.bodies; // return cached results without running anything\n }\n return new Promise(async (resolve) => {\n const t: Record = {};\n skipped = 0;\n // run detection on squared input and no cached boxes\n t.input = fix.padInput(input, inputSize);\n t.res = model?.execute(t.input) as Tensor;\n cache.last = now();\n const res = await t.res.array();\n cache.bodies = (t.res.shape[2] === 17)\n ? parseSinglePose(res, config, input)\n : parseMultiPose(res, config, input);\n for (const body of cache.bodies) {\n fix.rescaleBody(body, [input.shape[2] || 1, input.shape[1] || 1]);\n fix.jitter(body.keypoints);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n\n resolve(cache.bodies);\n });\n}\n", "/**\n * NanoDet object detection model implementation\n *\n * Based on: [**NanoDet**](https://github.com/RangiLyu/nanodet)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport { labels } from './labels';\nimport type { ObjectResult, ObjectType, Box } from '../result';\nimport type { GraphModel, Tensor, Tensor2D, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\nlet last: ObjectResult[] = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet inputSize = 0;\n\nconst scaleBox = 2.5; // increase box size\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) {\n model = await loadModel(config.object.modelPath);\n const inputs = model?.['executor'] ? Object.values(model.modelSignature['inputs']) : undefined;\n // @ts-ignore model signature properties are not typed and inputs are unreliable for this model\n inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416;\n } else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nasync function process(res: Tensor[], outputShape: [number, number], config: Config) {\n let id = 0;\n let results: ObjectResult[] = [];\n const size = inputSize;\n for (const strideSize of [1, 2, 4]) { // try each stride size as it detects large/medium/small objects\n // find scores, boxes, classes\n const baseSize = strideSize * 13; // 13x13=169, 26x26=676, 52x52=2704\n // find boxes and scores output depending on stride\n const scoresT = tf.squeeze(res.find((a) => (a.shape[1] === (baseSize ** 2) && (a.shape[2] || 0) === labels.length)) as Tensor2D);\n const scores = await scoresT.array(); // optionally use exponential scores or just as-is\n const featuresT = tf.squeeze(res.find((a) => (a.shape[1] === (baseSize ** 2) && (a.shape[2] || 0) < labels.length)) as Tensor2D);\n const boxesMaxT = tf.reshape(featuresT, [-1, 4, (featuresT.shape?.[1] || 0) / 4]); // reshape [output] to [4, output / 4] where number is number of different features inside each stride\n const boxIdxT = tf.argMax(boxesMaxT, 2); // what we need is indexes of features with highest scores, not values itself\n const boxIdx = await boxIdxT.array(); // what we need is indexes of features with highest scores, not values itself\n for (let i = 0; i < scoresT.shape[0]; i++) { // total strides (x * y matrix)\n for (let j = 0; j < (scoresT.shape?.[1] || 0); j++) { // one score for each class\n const score = scores[i][j]; // get score for current position\n if (score > (config.object.minConfidence || 0) && j !== 61) {\n const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; // center.x normalized to range 0..1\n const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; // center.y normalized to range 0..1\n const boxOffset = boxIdx[i].map((a: number) => a * (baseSize / strideSize / (size))); // just grab indexes of features with highest scores\n const [x, y] = [\n cx - (scaleBox / strideSize * boxOffset[0]),\n cy - (scaleBox / strideSize * boxOffset[1]),\n ];\n const [w, h] = [\n cx + (scaleBox / strideSize * boxOffset[2]) - x,\n cy + (scaleBox / strideSize * boxOffset[3]) - y,\n ];\n let boxRaw: Box = [x, y, w, h]; // results normalized to range 0..1\n boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))) as Box; // fix out-of-bounds coords\n const box = [ // results normalized to input image pixels\n boxRaw[0] * outputShape[0],\n boxRaw[1] * outputShape[1],\n boxRaw[2] * outputShape[0],\n boxRaw[3] * outputShape[1],\n ];\n const result = {\n id: id++,\n // strideSize,\n score: Math.round(100 * score) / 100,\n class: j + 1,\n label: labels[j].label as ObjectType,\n // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)],\n // centerRaw: [cx, cy],\n box: box.map((a) => Math.trunc(a)) as Box,\n boxRaw,\n };\n results.push(result);\n }\n }\n }\n tf.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]);\n }\n\n // normally nms is run on raw results, but since boxes need to be calculated this way we skip calulcation of\n // unnecessary boxes and run nms only on good candidates (basically it just does IOU analysis as scores are already filtered)\n const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); // switches coordinates from x,y to y,x as expected by tf.nms\n const nmsScores = results.map((a) => a.score);\n let nmsIdx: number[] = [];\n if (nmsBoxes && nmsBoxes.length > 0) {\n const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected || 0, config.object.iouThreshold, config.object.minConfidence);\n nmsIdx = Array.from(await nms.data());\n tf.dispose(nms);\n }\n\n // filter & sort results\n results = results\n .filter((_val, idx) => nmsIdx.includes(idx))\n .sort((a, b) => (b.score - a.score));\n\n return results;\n}\n\nexport async function predict(image: Tensor4D, config: Config): Promise {\n if (!model?.['executor']) return [];\n const skipTime = (config.object.skipTime || 0) > (now() - lastTime);\n const skipFrame = skipped < (config.object.skipFrames || 0);\n if (config.skipAllowed && skipTime && skipFrame && (last.length > 0)) {\n skipped++;\n return last;\n }\n skipped = 0;\n if (!env.kernels.includes('mod') || !env.kernels.includes('sparsetodense')) return last;\n return new Promise(async (resolve) => {\n const outputSize = [image.shape[2] || 0, image.shape[1] || 0];\n const resizeT = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n const normT = tf.div(resizeT, constants.tf255);\n const transposeT = tf.transpose(normT, [0, 3, 1, 2]);\n\n let objectT;\n if (config.object.enabled) objectT = model.execute(transposeT);\n lastTime = now();\n\n const obj = await process(objectT as Tensor[], outputSize as [number, number], config);\n last = obj;\n tf.dispose([resizeT, normT, transposeT, ...objectT]);\n resolve(obj);\n });\n}\n", "/**\n * PoseNet body detection model implementation constants\n * See `posenet.ts` for entry point\n */\n\nimport type { Point, BodyResult, BodyAnnotation, BodyLandmark } from '../result';\n\nexport const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const count = partNames.length; // 17 keypoints\n\nexport const partIds = partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport function eitherPointDoesntMeetConfidence(a: number, b: number, minConfidence: number) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence: number) {\n return connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nexport function getBoundingBox(keypoints): [number, number, number, number] {\n const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: Number.NEGATIVE_INFINITY,\n maxY: Number.NEGATIVE_INFINITY,\n minX: Number.POSITIVE_INFINITY,\n minY: Number.POSITIVE_INFINITY,\n });\n return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY];\n}\n\nexport function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]): BodyResult[] {\n const scaleY = height / inputResolutionHeight;\n const scaleX = width / inputResolutionWidth;\n const scalePose = (pose, i): BodyResult => ({\n id: i,\n score: pose.score,\n boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],\n box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score: score as number,\n part: part as BodyLandmark,\n position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)] as Point,\n positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] as Point,\n })),\n annotations: {} as Record,\n });\n const scaledPoses = poses.map((pose, i) => scalePose(pose, i));\n return scaledPoses;\n}\n\n// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nexport class MaxHeap {\n priorityQueue: unknown[]; // don't touch\n numberOfElements: number;\n getElementValue: unknown; // function call\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() { return this.numberOfElements === -1; }\n\n size() { return this.numberOfElements + 1; }\n\n all() { return this.priorityQueue.slice(0, this.numberOfElements + 1); }\n\n max() { return this.priorityQueue[0]; }\n\n swim(k) {\n while (k > 0 && this.less(Math.floor(k / 2), k)) {\n this.exchange(k, Math.floor(k / 2));\n k = Math.floor(k / 2);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n // @ts-ignore getter is of unknown type\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n\nexport function getOffsetPoint(y, x, keypoint: number, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + count),\n };\n}\n\nexport function getImageCoords(part, outputStride: number, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a: { x: number, y: number }, b: { x: number, y: number }) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "/**\n * PoseNet body detection model implementation\n *\n * Based on: [**PoseNet**](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport type { BodyResult, BodyLandmark, Box } from '../result';\nimport type { Tensor, GraphModel, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as utils from './posenetutils';\n\nlet model: GraphModel;\nconst poseNetOutputs = ['MobilenetV1/offset_2/BiasAdd'/* offsets */, 'MobilenetV1/heatmap_2/BiasAdd'/* heatmapScores */, 'MobilenetV1/displacement_fwd_2/BiasAdd'/* displacementFwd */, 'MobilenetV1/displacement_bwd_2/BiasAdd'/* displacementBwd */];\nconst localMaximumRadius = 1;\nconst outputStride = 16;\nconst squaredNmsRadius = 50 ** 2;\n\nfunction traverse(edgeId: number, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) {\n const getDisplacement = (point) => ({\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, (displacements.shape[2] / 2) + edgeId),\n });\n const getStridedIndexNearPoint = (point, height, width) => ({\n y: utils.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: utils.clamp(Math.round(point.x / outputStride), 0, width - 1),\n });\n\n const [height, width] = scores.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width);\n const displacement = getDisplacement(sourceKeypointIndices);\n const displacedPoint = utils.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width);\n const offsetPoint = utils.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets);\n targetKeypoint = utils.addVectors(\n { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride },\n { x: offsetPoint.x, y: offsetPoint.y },\n );\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width);\n const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId);\n return { position: targetKeypoint, part: utils.partNames[targetId], score };\n}\n\nexport function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) {\n const tuples = utils.poseChain.map(([parentJoinName, childJoinName]) => ([utils.partIds[parentJoinName], utils.partIds[childJoinName]]));\n const edgesFwd = tuples.map(([, childJointId]) => childJointId);\n const edgesBwd = tuples.map(([parentJointId]) => parentJointId);\n const numParts = scores.shape[2]; // [21,21,17]\n const numEdges = edgesFwd.length;\n const keypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const rootPoint = utils.getImageCoords(root.part, outputStride, offsets);\n keypoints[root.part.id] = {\n score: root.score,\n part: utils.partNames[root.part.id] as BodyLandmark,\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceId = edgesFwd[edge];\n const targetId = edgesBwd[edge];\n if (keypoints[sourceId] && !keypoints[targetId]) {\n keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceId = edgesBwd[edge];\n const targetId = edgesFwd[edge];\n if (keypoints[sourceId] && !keypoints[targetId]) {\n keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd);\n }\n }\n return keypoints;\n}\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score: number, heatmapY: number, heatmapX: number, scores) {\n const [height, width]: [number, number] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(minConfidence, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new utils.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < minConfidence) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n return queue;\n}\n\nfunction withinRadius(poses, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId]?.position;\n if (!correspondingKeypoint) return false;\n return utils.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, keypoints) {\n const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinRadius(existingPoses, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / keypoints.length;\n}\n\nexport function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence) {\n const poses: { keypoints, box: Box, score: number }[] = [];\n const queue = buildPartWithScoreQueue(minConfidence, scores);\n // Generate at most maxDetected object instances per image in decreasing root part score order.\n while (poses.length < maxDetected && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n // @ts-ignore this one is tree walk\n const rootImageCoords = utils.getImageCoords(root.part, outputStride, offsets);\n // @ts-ignore this one is tree walk\n if (withinRadius(poses, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd);\n keypoints = keypoints.filter((a) => a.score > minConfidence);\n const score = getInstanceScore(poses, keypoints);\n const box = utils.getBoundingBox(keypoints);\n if (score > minConfidence) poses.push({ keypoints, box, score: Math.round(100 * score) / 100 });\n }\n return poses;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n /** posenet is mostly obsolete\n * caching is not implemented\n */\n if (!model?.['executor']) return [];\n const res = tf.tidy(() => {\n if (!model.inputs[0].shape) return [];\n const resized = tf.image.resizeBilinear(input, [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n const normalized = tf.sub(tf.div(tf.cast(resized, 'float32'), 127.5), 1.0);\n const results: Tensor[] = model.execute(normalized, poseNetOutputs) as Tensor[];\n const results3d = results.map((y) => tf.squeeze(y, [0]));\n results3d[1] = tf.sigmoid(results3d[1]); // apply sigmoid on scores\n return results3d;\n });\n\n const buffers = await Promise.all(res.map((tensor: Tensor) => tensor.buffer()));\n for (const t of res) tf.dispose(t);\n\n const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config.body.maxDetected, config.body.minConfidence);\n if (!model.inputs[0].shape) return [];\n const scaled = utils.scalePoses(decoded, [input.shape[1], input.shape[2]], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);\n return scaled;\n}\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.body.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**Robust Video Matting**](https://github.com/PeterL1n/RobustVideoMatting)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\n// internal state varaibles\nconst outputNodes = ['fgr', 'pha', 'r1o', 'r2o', 'r3o', 'r4o'];\nconst t: Record = {}; // contains input tensor and recurrent states\nlet ratio = 0;\n\nfunction init(config: Config) {\n tf.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]);\n t.r1i = tf.tensor(0.0);\n t.r2i = tf.tensor(0.0);\n t.r3i = tf.tensor(0.0);\n t.r4i = tf.tensor(0.0);\n ratio = config.segmentation.ratio || 0.5;\n t.downsample_ratio = tf.tensor(ratio); // initialize downsample ratio\n}\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n init(config);\n return model;\n}\n\nconst normalize = (r: Tensor): Tensor => tf.tidy(() => {\n const squeeze = tf.squeeze(r, ([0]));\n const mul = tf.mul(squeeze, constants.tf255);\n const cast = tf.cast(mul, 'int32');\n return cast;\n});\n\nfunction getRGBA(fgr: Tensor | null, pha: Tensor | null): Tensor { // gets rgba // either fgr or pha must be present\n const rgb = fgr\n ? normalize(fgr) // normalize and use value\n : tf.fill([pha!.shape[1] || 0, pha!.shape[2] || 0, 3], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-non-null-assertion\n const a = pha\n ? normalize(pha) // normalize and use value\n : tf.fill([fgr!.shape[1] || 0, fgr!.shape[2] || 0, 1], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-non-null-assertion\n const rgba = tf.concat([rgb, a], -1);\n tf.dispose([rgb, a]);\n return rgba;\n}\n\nfunction getState(state: Tensor): Tensor { // gets internal recurrent states\n return tf.tidy(() => {\n const r: Record = {};\n r.unstack = tf.unstack(state, -1);\n r.concat = tf.concat(r.unstack, 1);\n r.split = tf.split(r.concat, 4, 1);\n r.stack = tf.concat(r.split, 2);\n r.squeeze = tf.squeeze(r.stack, [0]);\n r.expand = tf.expandDims(r.squeeze, -1);\n r.add = tf.add(r.expand, 1);\n r.mul = tf.mul(r.add, 127.5);\n r.cast = tf.cast(r.mul, 'int32');\n r.tile = tf.tile(r.cast, [1, 1, 3]);\n r.alpha = tf.fill([(r.tile as Tensor).shape[0] || 0, (r.tile as Tensor).shape[1] || 0, 1], 255, 'int32'); // eslint-disable-line @typescript-eslint/no-unnecessary-type-assertion\n return tf.concat([r.tile, r.alpha], -1);\n });\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor']) return null;\n // const expand = tf.expandDims(input, 0);\n t.src = tf.div(input, 255);\n if (ratio !== config.segmentation.ratio) init(config); // reinitialize recurrent states if requested downsample ratio changed\n const [fgr, pha, r1o, r2o, r3o, r4o] = await model.executeAsync(t, outputNodes) as Tensor[]; // execute model\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n rgba = getRGBA(fgr, pha);\n break;\n case 'alpha':\n rgba = getRGBA(null, pha);\n break;\n case 'foreground':\n rgba = getRGBA(fgr, null);\n break;\n case 'state':\n rgba = getState(r1o); // can view any internal recurrent state r10, r20, r3o, r4o\n break;\n default:\n rgba = tf.tensor(0);\n }\n tf.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]);\n [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; // update recurrent states\n return rgba;\n}\n", "/**\n * Image segmentation for body detection model\n *\n * Based on:\n * - [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log } from '../util/util';\nimport { loadModel } from '../tfjs/load';\nimport { constants } from '../tfjs/constants';\nimport type { GraphModel, Tensor, Tensor4D } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel;\n\nexport async function load(config: Config): Promise {\n if (!model || env.initial) model = await loadModel(config.segmentation.modelPath);\n else if (config.debug) log('cached model:', model['modelUrl']);\n return model;\n}\n\nexport async function predict(input: Tensor4D, config: Config): Promise {\n if (!model) model = await load(config);\n if (!model?.['executor'] || !model?.inputs?.[0].shape) return null; // something is wrong with the model\n const t: Record = {};\n t.resize = tf.image.resizeBilinear(input, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n t.norm = tf.div(t.resize, constants.tf255);\n t.res = model.execute(t.norm) as Tensor;\n t.squeeze = tf.squeeze(t.res, [0]); // meet.shape:[1,256,256,1], selfie.shape:[1,144,256,2]\n t.alpha = tf.image.resizeBilinear(t.squeeze as Tensor4D, [input.shape[1] || 0, input.shape[2] || 0]); // model selfie has a single channel that we can use directly\n t.mul = tf.mul(t.alpha, constants.tf255);\n let rgba: Tensor;\n switch (config.segmentation.mode || 'default') {\n case 'default':\n t.input = tf.squeeze(input);\n t.concat = tf.concat([t.input, t.mul], -1);\n rgba = tf.cast(t.concat, 'int32'); // combined original with alpha\n break;\n case 'alpha':\n rgba = tf.cast(t.mul, 'int32'); // just get alpha value from model\n break;\n default:\n rgba = tf.tensor(0);\n }\n Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n return rgba;\n}\n", "/**\n * Analyze detection Results and sort&combine them into per-person view\n */\n\nimport type { FaceResult, BodyResult, HandResult, GestureResult, PersonResult, Box } from '../result';\n\nexport function join(faces: FaceResult[], bodies: BodyResult[], hands: HandResult[], gestures: GestureResult[], shape: number[] | undefined): PersonResult[] {\n let id = 0;\n const persons: PersonResult[] = [];\n for (const face of faces) { // person is defined primarily by face and then we append other objects as found\n const person: PersonResult = { id: id++, face, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] };\n for (const body of bodies) {\n if (face.box[0] > body.box[0] // x within body\n && face.box[0] < body.box[0] + body.box[2]\n && face.box[1] + face.box[3] > body.box[1] // y within body\n && face.box[1] + face.box[3] < body.box[1] + body.box[3]) {\n person.body = body;\n }\n }\n if (person.body) { // only try to join hands if body is found\n for (const hand of hands) {\n if (hand.box[0] + hand.box[2] > person.body.box[0] // x within body for left hand\n && hand.box[0] + hand.box[2] < person.body.box[0] + person.body.box[2]\n && hand.box[1] + hand.box[3] > person.body.box[1] // x within body for left hand\n && hand.box[1] + hand.box[3] < person.body.box[1] + person.body.box[3]) {\n if (person.hands) person.hands.left = hand;\n }\n if (hand.box[0] < person.body.box[0] + person.body.box[2] // x within body for right hand\n && hand.box[0] > person.body.box[0]\n && hand.box[1] + hand.box[3] > person.body.box[1] // x within body for right hand\n && hand.box[1] + hand.box[3] < person.body.box[1] + person.body.box[3]) {\n if (person.hands) person.hands.right = hand;\n }\n }\n }\n for (const gesture of gestures) { // append all gestures according to ids\n if (gesture['face'] !== undefined && gesture['face'] === face.id) person.gestures.push(gesture);\n else if (gesture['iris'] !== undefined && gesture['iris'] === face.id) person.gestures.push(gesture);\n else if (gesture['body'] !== undefined && gesture['body'] === person.body?.id) person.gestures.push(gesture);\n else if (gesture['hand'] !== undefined && gesture['hand'] === person.hands.left?.id) person.gestures.push(gesture);\n else if (gesture['hand'] !== undefined && gesture['hand'] === person.hands.right?.id) person.gestures.push(gesture);\n }\n\n // create new overarching box from all boxes belonging to person\n const x: number[] = [];\n const y: number[] = [];\n const extractXY = (box: Box | undefined) => { // extract all [x, y] coordinates from boxes [x, y, width, height]\n if (box && box.length === 4) {\n x.push(box[0], box[0] + box[2]);\n y.push(box[1], box[1] + box[3]);\n }\n };\n extractXY(person.face.box);\n extractXY(person.body?.box);\n extractXY(person.hands.left?.box);\n extractXY(person.hands.right?.box);\n const minX = Math.min(...x);\n const minY = Math.min(...y);\n person.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; // create new overarching box\n\n // shape is known so we calculate boxRaw as well\n if (shape?.[1] && shape?.[2]) person.boxRaw = [person.box[0] / shape[2], person.box[1] / shape[1], person.box[2] / shape[2], person.box[3] / shape[1]];\n\n persons.push(person);\n }\n return persons;\n}\n", "/**\n * Embedded sample images used during warmup in dataURL format\n */\n\n// data:image/jpeg;base64,\nexport const face = `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`;\n\n// data:image/jpeg;base64,\nexport const body = `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\n2Q==`;\n", "/**\n * Warmup algorithm that uses embedded images to exercise loaded models for faster future inference\n */\n\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now, mergeDeep } from './util/util';\nimport * as sample from './sample';\nimport * as image from './image/image';\nimport * as backend from './tfjs/backend';\nimport { env } from './util/env';\nimport { empty, Result } from './result';\nimport type { Config } from './config';\nimport type { Human } from './human';\nimport type { Tensor, DataType } from './tfjs/types';\n\nasync function warmupBitmap(instance: Human): Promise {\n const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob: Blob | null;\n let res: Result | undefined;\n switch (instance.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'body':\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await instance.detect(bitmap, instance.config);\n bitmap.close();\n }\n return res;\n}\n\nasync function warmupCanvas(instance: Human): Promise {\n return new Promise((resolve) => {\n let src: string;\n // let size = 0;\n switch (instance.config.warmup) {\n case 'face':\n // size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n case 'body':\n // size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = '';\n }\n // src = encodeURI('../assets/human-sample-upper.jpg');\n let img: HTMLImageElement;\n if (typeof Image !== 'undefined') img = new Image();\n // @ts-ignore env.image is an external monkey-patch\n else if (env.Image) img = new env.Image();\n else {\n resolve(undefined);\n return;\n }\n img.onload = async () => {\n const canvas = image.canvas(img.naturalWidth, img.naturalHeight);\n if (!canvas) {\n log('Warmup: Canvas not found');\n resolve(undefined);\n } else {\n const ctx = canvas.getContext('2d') as CanvasRenderingContext2D;\n if (ctx) ctx.drawImage(img, 0, 0);\n // const data = ctx?.getImageData(0, 0, canvas.height, canvas.width);\n const tensor = await instance.image(canvas, true);\n const res = tensor.tensor ? await instance.detect(tensor.tensor, instance.config) : undefined;\n resolve(res);\n }\n };\n if (src) img.src = src;\n else resolve(undefined);\n });\n}\n\nasync function warmupNode(instance: Human): Promise {\n const atob = (str: string) => Buffer.from(str, 'base64');\n let img;\n if (instance.config.warmup === 'face') img = atob(sample.face);\n else img = atob(sample.body);\n let res: Result;\n if (('node' in tf) && (tf.getBackend() === 'tensorflow')) {\n // @ts-ignore\n const data: Tensor = tf['node'].decodeJpeg(img); // eslint-disable-line import/namespace\n const expanded: Tensor = tf.expandDims(data, 0);\n instance.tf.dispose(data);\n // log('Input:', expanded);\n res = await instance.detect(expanded, instance.config);\n instance.tf.dispose(expanded);\n } else {\n if (instance.config.debug) log('Warmup tfjs-node not loaded');\n /*\n const input = await canvasJS.loadImage(img);\n const canvas = canvasJS.createCanvas(input.width, input.height);\n const ctx = canvas.getContext('2d');\n ctx.drawImage(img, 0, 0, input.width, input.height);\n res = await instance.detect(input, instance.config);\n */\n }\n // @ts-ignore\n return res;\n}\n\nasync function runInference(instance: Human) {\n let res: Result | undefined;\n if (typeof createImageBitmap === 'function') res = await warmupBitmap(instance);\n else if ((typeof Image !== 'undefined') || (env.Canvas !== undefined)) res = await warmupCanvas(instance);\n else res = await warmupNode(instance);\n return res;\n}\n\n/** Runs pre-compile on all loaded models */\nexport async function runCompile(instance: Human) {\n // @ts-ignore private property\n if (!tf.env().flagRegistry.ENGINE_COMPILE_ONLY) return; // tfjs does not support compile-only inference\n const backendType = tf.getBackend();\n const webGLBackend = tf.backend();\n if ((backendType !== 'webgl' && backendType !== 'humangl') || !webGLBackend?.['checkCompileCompletion']) {\n // log('compile pass: skip');\n return;\n }\n tf.env().set('ENGINE_COMPILE_ONLY', true);\n const numTensorsStart = tf.engine().state.numTensors;\n const compiledModels: string[] = [];\n for (const [modelName, model] of Object.entries(instance.models.models)) {\n if (!model) continue;\n const shape = (model?.modelSignature && model?.inputs?.[0]?.shape) ? [...model.inputs[0].shape] : [1, 64, 64, 3];\n const dtype: DataType = (model?.modelSignature && model?.inputs?.[0]?.dtype) ? model.inputs[0].dtype : 'float32';\n for (let dim = 0; dim < shape.length; dim++) {\n if (shape[dim] === -1) shape[dim] = dim === 0 ? 1 : 64; // override batch number and any dynamic dimensions\n }\n const tensor = tf.zeros(shape, dtype);\n try {\n const res = model.execute(tensor);\n compiledModels.push(modelName);\n if (Array.isArray(res)) res.forEach((t) => tf.dispose(t));\n else tf.dispose(res);\n } catch {\n if (instance.config.debug) log('compile fail model:', modelName);\n }\n tf.dispose(tensor);\n }\n const kernels = await webGLBackend['checkCompileCompletionAsync']();\n webGLBackend['getUniformLocations']();\n if (instance.config.debug) log('compile pass:', { models: compiledModels, kernels: kernels.length });\n tf.env().set('ENGINE_COMPILE_ONLY', false);\n const numTensorsEnd = tf.engine().state.numTensors;\n if ((numTensorsEnd - numTensorsStart) > 0) log('tensor leak:', numTensorsEnd - numTensorsStart);\n}\n\n/** Warmup method pre-initializes all configured models for faster inference\n * - can take significant time on startup\n * - only used in browser environments for `webgl` and `humangl` backends\n * @param userConfig?: Config\n*/\nexport async function warmup(instance: Human, userConfig?: Partial): Promise {\n await backend.check(instance, false);\n const t0 = now();\n instance.state = 'warmup';\n if (userConfig) instance.config = mergeDeep(instance.config, userConfig) as Config;\n if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === 'none') {\n return empty();\n }\n return new Promise(async (resolve) => {\n await instance.models.load();\n await runCompile(instance);\n const res = await runInference(instance);\n const t1 = now();\n if (instance.config.debug) log('warmup', instance.config.warmup, Math.round(t1 - t0), 'ms');\n instance.emit('warmup');\n resolve(res);\n });\n}\n", "/**\n * Human main module\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\n// module imports\nimport * as tf from 'dist/tfjs.esm.js';\nimport { log, now, mergeDeep, validate } from './util/util';\nimport { defaults } from './config';\nimport { env, Env } from './util/env';\nimport { WebCam } from './util/webcam';\nimport { setModelLoadOptions } from './tfjs/load';\nimport * as app from '../package.json';\nimport * as backend from './tfjs/backend';\nimport * as draw from './draw/draw';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as efficientpose from './body/efficientpose';\nimport * as face from './face/face';\nimport * as facemesh from './face/facemesh';\nimport * as gesture from './gesture/gesture';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as image from './image/image';\nimport * as interpolate from './util/interpolate';\nimport * as meet from './segmentation/meet';\nimport * as match from './face/match';\nimport * as models from './models';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as persons from './util/persons';\nimport * as posenet from './body/posenet';\nimport * as rvm from './segmentation/rvm';\nimport * as selfie from './segmentation/selfie';\nimport * as warmups from './warmup';\n\n// type definitions\nimport { Input, Config, Result, FaceResult, HandResult, BodyResult, ObjectResult, GestureResult, AnyCanvas, empty } from './exports';\nimport type { Tensor, Tensor4D } from './tfjs/types';\n// type exports\nexport * from './exports';\n\n/** **Human** library main class\n *\n * All methods and properties are available only as members of Human class\n *\n * - Configuration object definition: {@link Config}\n * - Results object definition: {@link Result}\n * - Possible inputs: {@link Input}\n *\n * @param userConfig - {@link Config}\n * @returns instance of {@link Human}\n */\nexport class Human {\n /** Current version of Human library in *semver* format */\n version: string;\n\n /** Current configuration\n * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262)\n */\n config: Config;\n\n /** Last known result of detect run\n * - Can be accessed anytime after initial detection\n */\n result: Result;\n\n /** Current state of Human library\n * - Can be polled to determine operations that are currently executed\n * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle'\n */\n state: string;\n\n /** currenty processed image tensor and canvas */\n process: { tensor: Tensor | null, canvas: AnyCanvas | null };\n\n /** Instance of TensorFlow/JS used by Human\n * - Can be embedded or externally provided\n * [TFJS API](https://js.tensorflow.org/api/latest/)\n */\n tf;\n\n /** Object containing environment information used for diagnostics */\n env: Env = env;\n\n /** Draw helper classes that can draw detected objects on canvas using specified draw\n * - canvas: draws input to canvas\n * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions}\n * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas\n */\n // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions };\n draw: typeof draw = draw;\n\n /** Face Matching\n * - similarity: compare two face descriptors and return similarity index\n * - distance: compare two face descriptors and return raw calculated differences\n * - find: compare face descriptor to array of face descriptors and return best match\n */\n match: typeof match = match;\n\n /** Currently loaded models\n * @internal\n * {@link models#Models}\n */\n models: models.Models;\n\n /** Container for events dispatched by Human\n * Possible events:\n * - `create`: triggered when Human object is instantiated\n * - `load`: triggered when models are loaded (explicitly or on-demand)\n * - `image`: triggered when input image is processed\n * - `result`: triggered when detection is complete\n * - `warmup`: triggered when warmup is complete\n * - `error`: triggered on some errors\n */\n events: EventTarget | undefined;\n /** Reference face triangualtion array of 468 points, used for triangle references between points */\n faceTriangulation: number[];\n /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */\n faceUVMap: [number, number][];\n /** Performance object that contains values for all recently performed operations */\n performance: Record; // perf members are dynamically defined as needed\n #numTensors: number;\n #analyzeMemoryLeaks: boolean;\n #checkSanity: boolean;\n // definition end\n\n /** Constructor for **Human** library that is futher used for all operations\n * @param userConfig - user configuration object {@link Config}\n */\n constructor(userConfig?: Partial) {\n /*\n defaults.wasmPath = tf.version['tfjs-core'].includes('-') // custom build or official build\n ? 'https://vladmandic.github.io/tfjs/dist/'\n : `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`;\n */\n const tfVersion = (tf.version.tfjs || tf.version_core).replace(/-(.*)/, '');\n defaults.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`;\n defaults.modelBasePath = env.browser ? '../models/' : 'file://models/';\n this.version = app.version; // expose version property on instance of class\n Object.defineProperty(this, 'version', { value: app.version }); // expose version property directly on class itself\n this.config = JSON.parse(JSON.stringify(defaults));\n Object.seal(this.config);\n this.config.cacheModels = typeof indexedDB !== 'undefined';\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n setModelLoadOptions(this.config);\n this.tf = tf;\n this.state = 'idle';\n this.#numTensors = 0;\n this.#analyzeMemoryLeaks = false;\n this.#checkSanity = false;\n this.performance = {};\n this.events = (typeof EventTarget !== 'undefined') ? new EventTarget() : undefined;\n // object that contains all initialized models\n this.models = new models.Models(this);\n // reexport draw methods\n draw.init();\n this.result = empty();\n // export access to image processing\n this.process = { tensor: null, canvas: null };\n // export raw access to underlying models\n this.faceTriangulation = facemesh.triangulation;\n this.faceUVMap = facemesh.uvmap;\n // init model validation\n models.validateModel(this, null, '');\n // include platform info\n this.emit('create');\n if (this.config.debug || this.env.browser) log(`version: ${this.version}`);\n if (this.config.debug) log(`tfjs version: ${this.tf.version['tfjs-core']}`);\n const envTemp = JSON.parse(JSON.stringify(this.env));\n delete envTemp.kernels;\n delete envTemp.initial;\n delete envTemp.perfadd;\n if (this.config.debug) log('environment:', envTemp);\n }\n\n /** internal function to measure tensor leaks */\n analyze = (...msg: string[]) => {\n if (!this.#analyzeMemoryLeaks) return;\n const currentTensors = this.tf.engine().state.numTensors;\n const previousTensors = this.#numTensors;\n this.#numTensors = currentTensors;\n const leaked = currentTensors - previousTensors;\n if (leaked !== 0) log(...msg, leaked);\n };\n\n /** internal function for quick sanity check on inputs @hidden */\n #sanity = (input: Input): null | string => {\n if (!this.#checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.env.node && !(input instanceof tf.Tensor)) return 'input must be a tensor';\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n };\n\n /** Reset configuration to default values */\n reset(): void {\n const currentBackend = this.config.backend; // save backend;\n this.config = JSON.parse(JSON.stringify(defaults));\n this.config.backend = currentBackend;\n image.reset();\n env.initial = true;\n }\n\n /** Validate current configuration schema */\n validate(userConfig?: Partial) {\n const msgs = validate(defaults, userConfig || this.config);\n if (msgs.length === 0) this.config = mergeDeep(this.config, userConfig) as Config;\n return msgs;\n }\n\n /** Utility wrapper for performance.now() */\n now(): number { // eslint-disable-line class-methods-use-this\n return now();\n }\n\n /** Process input as return canvas and tensor\n *\n * @param input - any input {@link Input}\n * @param getTensor - should image processing also return tensor or just canvas\n * Returns object with `tensor` and `canvas`\n */\n image(input: Input, getTensor: boolean = false) {\n return image.process(input, this.config, getTensor);\n }\n\n /** Segmentation method takes any input and returns RGBA tensor\n * Note: Segmentation is not triggered as part of detect process\n *\n * @param input - {@link Input}\n * Returns tensor which contains image data in RGBA format\n */\n async segmentation(input: Input, userConfig?: Partial): Promise {\n if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n if (!this.config.segmentation.enabled) return null;\n const processed = await image.process(input, this.config);\n if (!processed.tensor) return null;\n let tensor: Tensor | null = null;\n if (this.config.segmentation.modelPath?.includes('rvm')) tensor = await rvm.predict(processed.tensor, this.config);\n if (this.config.segmentation.modelPath?.includes('meet')) tensor = await meet.predict(processed.tensor, this.config);\n if (this.config.segmentation.modelPath?.includes('selfie')) tensor = await selfie.predict(processed.tensor, this.config);\n tf.dispose(processed.tensor);\n return tensor;\n }\n\n /** Compare two input tensors for pixel similarity\n * - use `human.image` to process any valid input and get a tensor that can be used for compare\n * - when passing manually generated tensors:\n * - both input tensors must be in format [1, height, width, 3]\n * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor\n * - return value is pixel similarity score normalized by input resolution and rgb channels\n */\n compare(firstImageTensor: Tensor, secondImageTensor: Tensor): Promise {\n return image.compare(this.config, firstImageTensor, secondImageTensor);\n }\n\n /** Explicit backend initialization\n * - Normally done implicitly during initial load phase\n * - Call to explictly register and initialize TFJS backend without any other operations\n * - Use when changing backend during runtime\n */\n async init(): Promise {\n await backend.check(this, true);\n await this.tf.ready();\n image.reset();\n }\n\n /** WebCam helper methods\n *\n */\n public webcam = new WebCam();\n\n /** Load method preloads all configured models on-demand\n * - Not explicitly required as any required model is load implicitly on it's first run\n *\n * @param userConfig - {@link Config}\n */\n async load(userConfig?: Partial): Promise {\n this.state = 'load';\n const timeStamp = now();\n const count = Object.values(this.models.models).filter((model) => model).length;\n if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n if (this.env.initial) { // print version info on first run and check for correct backend setup\n if (!await backend.check(this, false)) log('error: backend check failed');\n await tf.ready();\n if (this.env.browser) {\n if (this.config.debug) log('configuration:', this.config);\n if (this.config.debug) log('tf flags:', this.tf.ENV.flags);\n }\n }\n\n await this.models.load(this); // actually loads models\n if (this.env.initial && this.config.debug) log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors'); // print memory stats on first run\n this.env.initial = false;\n\n const loaded = Object.values(this.models.models).filter((model) => model).length;\n if (loaded !== count) { // number of loaded models changed\n this.models.validate(); // validate kernel ops used by model against current backend\n this.emit('load');\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.performance.loadModels || 0)) this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current;\n }\n\n /** emit event */\n emit = (event: string) => {\n if (this.events?.dispatchEvent) this.events.dispatchEvent(new Event(event));\n };\n\n /** Runs interpolation using last known result and returns smoothened result\n * Interpolation is based on time since last known result so can be called independently\n *\n * @param result - {@link Result} optional use specific result set to run interpolation on\n * @returns result - {@link Result}\n */\n next(result: Result = this.result): Result {\n return interpolate.calc(result, this.config);\n }\n\n /** Warmup method pre-initializes all configured models for faster inference\n * - can take significant time on startup\n * - only used for `webgl` and `humangl` backends\n * @param userConfig - {@link Config}\n * @returns result - {@link Result}\n */\n async warmup(userConfig?: Partial) {\n const t0 = now();\n const res = await warmups.warmup(this, userConfig);\n const t1 = now();\n this.performance.warmup = Math.trunc(t1 - t0);\n return res;\n }\n\n /** Run detect with tensorflow profiling\n * - result object will contain total exeuction time information for top-20 kernels\n * - actual detection object can be accessed via `human.result`\n */\n async profile(input: Input, userConfig?: Partial): Promise<{ kernel: string, time: number, perc: number }[]> {\n // @ts-ignore profile wraps method return values\n const profile = await this.tf.profile(() => this.detect(input, userConfig));\n const kernels: Record = {};\n let total = 0;\n for (const kernel of profile.kernels) { // sum kernel time values per kernel\n const ms = Number(kernel.kernelTimeMs) || 0;\n if (kernels[kernel.name]) kernels[kernel.name] += ms;\n else kernels[kernel.name] = ms;\n total += ms;\n }\n const kernelArr: { kernel: string, time: number, perc: number }[] = [];\n Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1] as unknown as number, perc: 0 })); // convert to array\n for (const kernel of kernelArr) {\n kernel.perc = Math.round(1000 * kernel.time / total) / 1000;\n kernel.time = Math.round(1000 * kernel.time) / 1000;\n }\n kernelArr.sort((a, b) => b.time - a.time); // sort\n kernelArr.length = 20; // crop\n return kernelArr;\n }\n\n /** Main detection method\n * - Analyze configuration: {@link Config}\n * - Pre-process input: {@link Input}\n * - Run inference for all configured models\n * - Process and return result: {@link Result}\n *\n * @param input - {@link Input}\n * @param userConfig - {@link Config}\n * @returns result - {@link Result}\n */\n async detect(input: Input, userConfig?: Partial): Promise {\n // detection happens inside a promise\n this.state = 'detect';\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig) as Config;\n\n // sanity checks\n this.state = 'check';\n const error = this.#sanity(input);\n if (error) {\n log(error, input);\n this.emit('error');\n resolve(empty(error));\n }\n\n const timeStart = now();\n\n // load models if enabled\n await this.load();\n\n timeStamp = now();\n this.state = 'image';\n const img = await image.process(input, this.config) as { canvas: AnyCanvas, tensor: Tensor4D };\n this.process = img;\n this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n if (!img.tensor) {\n if (this.config.debug) log('could not convert input to tensor');\n this.emit('error');\n resolve(empty('could not convert input to tensor'));\n return;\n }\n this.emit('image');\n\n timeStamp = now();\n this.config.skipAllowed = await image.skip(this.config, img.tensor);\n this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; // disable autoBrightness on scene change\n if (!this.performance.totalFrames) this.performance.totalFrames = 0;\n if (!this.performance.cachedFrames) this.performance.cachedFrames = 0;\n (this.performance.totalFrames)++;\n if (this.config.skipAllowed) this.performance.cachedFrames++;\n this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n this.analyze('Check Changed:');\n\n // prepare where to store model results\n // keep them with weak typing as it can be promise or not\n let faceRes: FaceResult[] | Promise | never[] = [];\n let bodyRes: BodyResult[] | Promise | never[] = [];\n let handRes: HandResult[] | Promise | never[] = [];\n let objectRes: ObjectResult[] | Promise | never[] = [];\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n this.state = 'detect:face';\n if (this.config.async) {\n faceRes = this.config.face.enabled ? face.detectFace(this, img.tensor) : [];\n if (this.performance.face) delete this.performance.face;\n } else {\n timeStamp = now();\n faceRes = this.config.face.enabled ? await face.detectFace(this, img.tensor) : [];\n this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n\n if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) faceRes = await faceRes; // need face result for auto-detect number of hands or bodies\n\n // run body: can be posenet, blazepose, efficientpose, movenet\n this.analyze('Start Body:');\n this.state = 'detect:body';\n const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * (faceRes as FaceResult[]).length : 1 } }) : this.config; // autodetect number of bodies\n if (this.config.async) {\n if (this.config.body.modelPath?.includes('posenet')) bodyRes = this.config.body.enabled ? posenet.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('blazepose')) bodyRes = this.config.body.enabled ? blazepose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('efficientpose')) bodyRes = this.config.body.enabled ? efficientpose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('movenet')) bodyRes = this.config.body.enabled ? movenet.predict(img.tensor, bodyConfig) : [];\n if (this.performance.body) delete this.performance.body;\n } else {\n timeStamp = now();\n if (this.config.body.modelPath?.includes('posenet')) bodyRes = this.config.body.enabled ? await posenet.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('blazepose')) bodyRes = this.config.body.enabled ? await blazepose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('efficientpose')) bodyRes = this.config.body.enabled ? await efficientpose.predict(img.tensor, bodyConfig) : [];\n else if (this.config.body.modelPath?.includes('movenet')) bodyRes = this.config.body.enabled ? await movenet.predict(img.tensor, bodyConfig) : [];\n this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n this.state = 'detect:hand';\n const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * (faceRes as FaceResult[]).length : 1 } }) : this.config; // autodetect number of hands\n if (this.config.async) {\n if (this.config.hand.detector?.modelPath?.includes('handdetect')) handRes = this.config.hand.enabled ? handpose.predict(img.tensor, handConfig) : [];\n else if (this.config.hand.detector?.modelPath?.includes('handtrack')) handRes = this.config.hand.enabled ? handtrack.predict(img.tensor, handConfig) : [];\n if (this.performance.hand) delete this.performance.hand;\n } else {\n timeStamp = now();\n if (this.config.hand.detector?.modelPath?.includes('handdetect')) handRes = this.config.hand.enabled ? await handpose.predict(img.tensor, handConfig) : [];\n else if (this.config.hand.detector?.modelPath?.includes('handtrack')) handRes = this.config.hand.enabled ? await handtrack.predict(img.tensor, handConfig) : [];\n this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // run object detection\n this.analyze('Start Object:');\n this.state = 'detect:object';\n if (this.config.async) {\n if (this.config.object.modelPath?.includes('nanodet')) objectRes = this.config.object.enabled ? nanodet.predict(img.tensor, this.config) : [];\n else if (this.config.object.modelPath?.includes('centernet')) objectRes = this.config.object.enabled ? centernet.predict(img.tensor, this.config) : [];\n if (this.performance.object) delete this.performance.object;\n } else {\n timeStamp = now();\n if (this.config.object.modelPath?.includes('nanodet')) objectRes = this.config.object.enabled ? await nanodet.predict(img.tensor, this.config) : [];\n else if (this.config.object.modelPath?.includes('centernet')) objectRes = this.config.object.enabled ? await centernet.predict(img.tensor, this.config) : [];\n this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n }\n this.analyze('End Object:');\n\n // if async wait for results\n this.state = 'detect:await';\n if (this.config.async) [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]);\n\n // run gesture analysis last\n this.state = 'detect:gesture';\n let gestureRes: GestureResult[] = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n gestureRes = [...gesture.face(faceRes as FaceResult[]), ...gesture.body(bodyRes as BodyResult[]), ...gesture.hand(handRes as HandResult[]), ...gesture.iris(faceRes as FaceResult[])];\n if (!this.config.async) this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n else if (this.performance.gesture) delete this.performance.gesture;\n }\n\n this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart);\n const shape = this.process.tensor?.shape || [0, 0, 0, 0];\n this.result = {\n face: faceRes as FaceResult[],\n body: bodyRes as BodyResult[],\n hand: handRes as HandResult[],\n gesture: gestureRes,\n object: objectRes as ObjectResult[],\n performance: this.performance,\n canvas: this.process.canvas,\n timestamp: Date.now(),\n error: null,\n width: shape[2],\n height: shape[1],\n get persons() { return persons.join(faceRes as FaceResult[], bodyRes as BodyResult[], handRes as HandResult[], gestureRes, shape); },\n };\n\n // finally dispose input tensor\n tf.dispose(img.tensor);\n\n // log('Result:', result);\n this.emit('detect');\n this.state = 'idle';\n resolve(this.result);\n });\n }\n\n /** Helper function\n * @param ms - sleep time in miliseconds\n */\n async sleep(ms: number): Promise { // eslint-disable-line class-methods-use-this\n return new Promise((resolve) => { setTimeout(resolve, ms); });\n }\n\n /** internal structure that keeps track of processed videos @hidden */\n #loops: Record = {};\n /** Continously detect video frames\n * @param element - HTMLVideoElement input\n * @param run - boolean run continously or stop if already running, default true\n * @param delay - number delay detection between frames for number of miliseconds, default 0\n */\n async video(element: HTMLVideoElement, run: boolean = true, delay: number = 0) {\n if (run) {\n if (!this.#loops[element.id]) {\n if (this.config.debug) log('video start', element.id);\n this.#loops[element.id] = true;\n }\n if (!element.paused && this.#loops[element.id] && (element.readyState >= 2)) await this.detect(element);\n if (delay > 0) await this.sleep(delay);\n if (this.#loops[element.id]) requestAnimationFrame(() => this.video(element, run, delay));\n } else {\n if (this.config.debug) log('video stop', element.id);\n this.#loops[element.id] = false;\n }\n }\n}\n\n/** Class Human as default export */\n/* eslint no-restricted-exports: [\"off\", { \"restrictedNamedExports\": [\"default\"] }] */\nexport { Human as default, match, draw, models };\n"], + "mappings": ";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAMA,IAAI,KAAG,OAAO;AAAO,IAAI,KAAG,OAAO;AAAe,IAAI,KAAG,OAAO;AAAyB,IAAI,KAAG,OAAO;AAAoB,IAAI,KAAG,OAAO;AAAd,IAA6B,KAAG,OAAO,UAAU;AAAe,IAAI,KAAG,CAAC,GAAE,MAAI,OAAK,KAAG,GAAG,IAAE,EAAC,SAAQ,CAAC,EAAC,GAAG,SAAQ,CAAC,GAAE,EAAE;AAAtD,IAA+D,KAAG,CAAC,GAAE,MAAI;AAAC,WAAQA,OAAK;AAAE,OAAG,GAAEA,KAAE,EAAC,KAAI,EAAEA,GAAC,GAAE,YAAW,KAAE,CAAC;AAAC;AAAzH,IAA2H,KAAG,CAAC,GAAE,GAAEA,KAAE,MAAI;AAAC,MAAG,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG;AAAW,aAAQ,KAAK,GAAG,CAAC;AAAE,OAAC,GAAG,KAAK,GAAE,CAAC,KAAG,MAAIA,OAAG,GAAG,GAAE,GAAE,EAAC,KAAI,MAAI,EAAE,CAAC,GAAE,YAAW,EAAE,IAAE,GAAG,GAAE,CAAC,MAAI,EAAE,WAAU,CAAC;AAAE,SAAO;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,SAAKA,MAAE,KAAG,OAAK,GAAG,GAAG,CAAC,CAAC,IAAE,CAAC,GAAE,GAAG,KAAG,CAAC,KAAG,CAAC,EAAE,aAAW,GAAGA,KAAE,WAAU,EAAC,OAAM,GAAE,YAAW,KAAE,CAAC,IAAEA,KAAE,CAAC;AAAG,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,KAAG,UAAQ;AAAG,MAAI,KAAG;AAAK,MAAG;AAAC,SAAG,IAAI,YAAY,SAAS,IAAI,YAAY,OAAO,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,KAAI,KAAI,KAAI,GAAE,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,KAAI,GAAE,IAAG,GAAE,IAAG,GAAE,IAAG,GAAE,GAAE,KAAI,KAAI,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,GAAE,GAAE,GAAE,KAAI,KAAI,KAAI,IAAG,KAAI,KAAI,KAAI,KAAI,GAAE,GAAE,IAAG,KAAI,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,GAAE,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,KAAI,IAAG,GAAE,KAAI,IAAG,IAAG,KAAI,KAAI,KAAI,IAAG,GAAE,IAAG,IAAG,KAAI,KAAI,IAAG,GAAE,IAAG,GAAE,KAAI,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC,EAAE;AAAA,EAAO,SAAO,GAAN;AAAA,EAAS;AAAC,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAK,MAAI,IAAE,GAAE,KAAK,OAAK,IAAE,GAAE,KAAK,WAAS,CAAC,CAACA;AAAA,EAAC;AAAC,KAAG,UAAU;AAAW,SAAO,eAAe,GAAG,WAAU,cAAa,EAAC,OAAM,KAAE,CAAC;AAAE,WAAS,GAAG,GAAE;AAAC,YAAO,KAAG,EAAE,gBAAc;AAAA,EAAE;AAAC,KAAG,SAAO;AAAG,MAAI,KAAG,CAAC,GAAE,KAAG,CAAC;AAAE,WAAS,GAAG,GAAE,GAAE;AAAC,QAAIA,KAAE,GAAE;AAAE,WAAO,KAAG,OAAK,IAAG,IAAE,KAAG,KAAG,IAAE,SAAO,IAAE,GAAG,CAAC,GAAE,KAAG,KAAGA,MAAE,GAAG,IAAG,IAAE,KAAG,IAAE,KAAG,GAAE,IAAE,GAAE,MAAI,GAAG,CAAC,IAAEA,MAAGA,SAAK,KAAG,IAAG,IAAE,QAAM,KAAG,IAAE,SAAO,IAAE,GAAG,CAAC,GAAE,KAAG,KAAGA,MAAE,GAAG,GAAE,IAAE,IAAE,KAAG,GAAE,KAAE,GAAE,MAAI,GAAG,CAAC,IAAEA,MAAGA;AAAA,EAAG;AAAC,KAAG,UAAQ;AAAG,WAAS,GAAG,GAAE,GAAE;AAAC,QAAG,MAAM,CAAC;AAAE,aAAO,IAAE,KAAG;AAAG,QAAG,GAAE;AAAC,UAAG,IAAE;AAAE,eAAO;AAAG,UAAG,KAAG;AAAG,eAAO;AAAA,IAAE,OAAK;AAAC,UAAG,KAAG,CAAC;AAAG,eAAO;AAAG,UAAG,IAAE,KAAG;AAAG,eAAO;AAAA,IAAE;AAAC,WAAO,IAAE,IAAE,GAAG,CAAC,GAAE,CAAC,EAAE,IAAI,IAAE,GAAG,IAAE,KAAG,GAAE,IAAE,KAAG,GAAE,CAAC;AAAA,EAAC;AAAC,KAAG,aAAW;AAAG,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,KAAG,WAAS;AAAG,MAAI,KAAG,KAAK;AAAI,WAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,QAAG,EAAE,WAAS;AAAE,YAAM,MAAM,cAAc;AAAE,QAAG,MAAI,SAAO,MAAI,cAAY,MAAI,eAAa,MAAI;AAAY,aAAO;AAAG,QAAG,OAAO,KAAG,YAAUA,MAAE,GAAE,IAAE,SAAI,IAAE,CAAC,CAAC,GAAEA,MAAEA,OAAG,IAAGA,MAAE,KAAG,KAAGA;AAAE,YAAM,WAAW,OAAO;AAAE,QAAI;AAAE,SAAI,IAAE,EAAE,QAAQ,GAAG,KAAG;AAAE,YAAM,MAAM,iBAAiB;AAAE,QAAG,MAAI;AAAE,aAAO,GAAG,EAAE,UAAU,CAAC,GAAE,GAAEA,GAAC,EAAE,IAAI;AAAE,aAAQ,IAAE,GAAG,GAAGA,KAAE,CAAC,CAAC,GAAE,IAAE,IAAG,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,EAAE,SAAO,CAAC,GAAE,IAAE,SAAS,EAAE,UAAU,GAAE,IAAE,CAAC,GAAEA,GAAC;AAAE,UAAG,IAAE,GAAE;AAAC,YAAI,IAAE,GAAG,GAAGA,KAAE,CAAC,CAAC;AAAE,YAAE,EAAE,IAAI,CAAC,EAAE,IAAI,GAAG,CAAC,CAAC;AAAA,MAAC;AAAM,YAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,GAAG,CAAC,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,WAAS,GAAE;AAAA,EAAC;AAAC,KAAG,aAAW;AAAG,WAAS,GAAG,GAAE,GAAE;AAAC,WAAO,OAAO,KAAG,WAAS,GAAG,GAAE,CAAC,IAAE,OAAO,KAAG,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,EAAE,KAAI,EAAE,MAAK,OAAO,KAAG,YAAU,IAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,KAAG,YAAU;AAAG,MAAI,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,KAAG,GAAE,KAAG,GAAG,EAAE,GAAE,KAAG,GAAG,CAAC;AAAE,KAAG,OAAK;AAAG,MAAI,KAAG,GAAG,GAAE,IAAE;AAAE,KAAG,QAAM;AAAG,MAAI,KAAG,GAAG,CAAC;AAAE,KAAG,MAAI;AAAG,MAAI,KAAG,GAAG,GAAE,IAAE;AAAE,KAAG,OAAK;AAAG,MAAI,KAAG,GAAG,EAAE;AAAE,KAAG,UAAQ;AAAG,MAAI,KAAG,GAAG,IAAG,YAAW,KAAE;AAAE,KAAG,YAAU;AAAG,MAAI,KAAG,GAAG,IAAG,IAAG,IAAE;AAAE,KAAG,qBAAmB;AAAG,MAAI,KAAG,GAAG,GAAE,aAAY,KAAE;AAAE,KAAG,YAAU;AAAG,MAAI,KAAG,GAAG;AAAU,KAAG,QAAM,WAAU;AAAC,WAAO,KAAK,WAAS,KAAK,QAAM,IAAE,KAAK;AAAA,EAAG;AAAE,KAAG,WAAS,WAAU;AAAC,WAAO,KAAK,YAAU,KAAK,SAAO,KAAG,MAAI,KAAK,QAAM,KAAG,KAAK,OAAK,MAAI,KAAK,QAAM;AAAA,EAAE;AAAE,KAAG,WAAS,SAAS,GAAE;AAAC,QAAG,IAAE,KAAG,IAAG,IAAE,KAAG,KAAG;AAAE,YAAM,WAAW,OAAO;AAAE,QAAG,KAAK,OAAO;AAAE,aAAM;AAAI,QAAG,KAAK,WAAW;AAAE,UAAG,KAAK,GAAG,EAAE,GAAE;AAAC,YAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,KAAK,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,EAAE,IAAI,IAAI;AAAE,eAAO,EAAE,SAAS,CAAC,IAAE,EAAE,MAAM,EAAE,SAAS,CAAC;AAAA,MAAC;AAAM,eAAM,MAAI,KAAK,IAAI,EAAE,SAAS,CAAC;AAAE,aAAQ,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,KAAK,QAAQ,GAAE,IAAE,MAAK,IAAE,QAAK;AAAC,UAAI,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,IAAI,CAAC,CAAC,EAAE,MAAM,MAAI,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,UAAG,IAAE,GAAE,EAAE,OAAO;AAAE,eAAO,IAAE;AAAE,aAAK,EAAE,SAAO;AAAG,YAAE,MAAI;AAAE,UAAE,KAAG,IAAE;AAAA,IAAC;AAAA,EAAC;AAAE,KAAG,cAAY,WAAU;AAAC,WAAO,KAAK;AAAA,EAAI;AAAE,KAAG,sBAAoB,WAAU;AAAC,WAAO,KAAK,SAAO;AAAA,EAAC;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK;AAAA,EAAG;AAAE,KAAG,qBAAmB,WAAU;AAAC,WAAO,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,gBAAc,WAAU;AAAC,QAAG,KAAK,WAAW;AAAE,aAAO,KAAK,GAAG,EAAE,IAAE,KAAG,KAAK,IAAI,EAAE,cAAc;AAAE,aAAQ,IAAE,KAAK,QAAM,IAAE,KAAK,OAAK,KAAK,KAAIA,MAAE,IAAGA,MAAE,KAAG,EAAE,IAAE,KAAGA,MAAGA;AAAI;AAAC,WAAO,KAAK,QAAM,IAAEA,MAAE,KAAGA,MAAE;AAAA,EAAC;AAAE,KAAG,SAAO,WAAU;AAAC,WAAO,KAAK,SAAO,KAAG,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,aAAW,WAAU;AAAC,WAAM,CAAC,KAAK,YAAU,KAAK,OAAK;AAAA,EAAC;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK,YAAU,KAAK,QAAM;AAAA,EAAC;AAAE,KAAG,QAAM,WAAU;AAAC,YAAO,KAAK,MAAI,OAAK;AAAA,EAAC;AAAE,KAAG,SAAO,WAAU;AAAC,YAAO,KAAK,MAAI,OAAK;AAAA,EAAC;AAAE,KAAG,SAAO,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,aAAW,EAAE,YAAU,KAAK,SAAO,OAAK,KAAG,EAAE,SAAO,OAAK,IAAE,QAAG,KAAK,SAAO,EAAE,QAAM,KAAK,QAAM,EAAE;AAAA,EAAG;AAAE,KAAG,KAAG,GAAG;AAAO,KAAG,YAAU,SAAS,GAAE;AAAC,WAAM,CAAC,KAAK,GAAG,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAU,KAAG,KAAG,GAAG;AAAU,KAAG,WAAS,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,IAAE;AAAA,EAAC;AAAE,KAAG,KAAG,GAAG;AAAS,KAAG,kBAAgB,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,KAAG;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAgB,KAAG,KAAG,GAAG;AAAgB,KAAG,cAAY,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,IAAE;AAAA,EAAC;AAAE,KAAG,KAAG,GAAG;AAAY,KAAG,qBAAmB,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,CAAC,KAAG;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAmB,KAAG,KAAG,GAAG;AAAmB,KAAG,UAAQ,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,GAAG,CAAC;AAAE,aAAO;AAAE,QAAIA,MAAE,KAAK,WAAW,GAAE,IAAE,EAAE,WAAW;AAAE,WAAOA,OAAG,CAAC,IAAE,KAAG,CAACA,OAAG,IAAE,IAAE,KAAK,WAAS,EAAE,SAAO,IAAE,KAAK,SAAO,KAAG,EAAE,SAAO,KAAK,QAAM,EAAE,QAAM,IAAE,KAAK,QAAM,IAAE,KAAG,IAAE,KAAK,IAAI,CAAC,EAAE,WAAW,IAAE,KAAG;AAAA,EAAC;AAAE,KAAG,OAAK,GAAG;AAAQ,KAAG,SAAO,WAAU;AAAC,WAAM,CAAC,KAAK,YAAU,KAAK,GAAG,EAAE,IAAE,KAAG,KAAK,IAAI,EAAE,IAAI,EAAE;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,SAAS,GAAE;AAAC,OAAG,CAAC,MAAI,IAAE,GAAG,CAAC;AAAG,QAAIA,MAAE,KAAK,SAAO,IAAG,IAAE,KAAK,OAAK,OAAM,IAAE,KAAK,QAAM,IAAG,IAAE,KAAK,MAAI,OAAM,IAAE,EAAE,SAAO,IAAG,IAAE,EAAE,OAAK,OAAM,IAAE,EAAE,QAAM,IAAG,IAAE,EAAE,MAAI,OAAM,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAO,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAGA,MAAE,GAAE,KAAG,OAAM,GAAG,KAAG,KAAG,GAAE,KAAG,KAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,WAAS,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,KAAK,IAAI,EAAE,IAAI,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAS,KAAG,WAAS,SAAS,GAAE;AAAC,QAAG,KAAK,OAAO;AAAE,aAAO;AAAG,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,IAAG;AAAC,UAAIA,MAAE,GAAG,IAAI,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAG,EAAE,OAAO;AAAE,aAAO;AAAG,QAAG,KAAK,GAAG,EAAE;AAAE,aAAO,EAAE,MAAM,IAAE,KAAG;AAAG,QAAG,EAAE,GAAG,EAAE;AAAE,aAAO,KAAK,MAAM,IAAE,KAAG;AAAG,QAAG,KAAK,WAAW;AAAE,aAAO,EAAE,WAAW,IAAE,KAAK,IAAI,EAAE,IAAI,EAAE,IAAI,CAAC,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,QAAG,EAAE,WAAW;AAAE,aAAO,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,QAAG,KAAK,GAAG,EAAE,KAAG,EAAE,GAAG,EAAE;AAAE,aAAO,GAAG,KAAK,SAAS,IAAE,EAAE,SAAS,GAAE,KAAK,QAAQ;AAAE,QAAI,IAAE,KAAK,SAAO,IAAG,IAAE,KAAK,OAAK,OAAM,IAAE,KAAK,QAAM,IAAG,IAAE,KAAK,MAAI,OAAM,IAAE,EAAE,SAAO,IAAG,IAAE,EAAE,OAAK,OAAM,IAAE,EAAE,QAAM,IAAG,IAAE,EAAE,MAAI,OAAM,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAO,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,GAAE,KAAG,MAAI,IAAG,KAAG,OAAM,KAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,OAAM,GAAG,KAAG,KAAG,GAAE,KAAG,KAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAS,KAAG,SAAO,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,EAAE,OAAO;AAAE,YAAM,MAAM,kBAAkB;AAAE,QAAG,IAAG;AAAC,UAAG,CAAC,KAAK,YAAU,KAAK,SAAO,eAAa,EAAE,QAAM,MAAI,EAAE,SAAO;AAAG,eAAO;AAAK,UAAIA,OAAG,KAAK,WAAS,GAAG,QAAM,GAAG,OAAO,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAG,KAAK,OAAO;AAAE,aAAO,KAAK,WAAS,KAAG;AAAG,QAAI,GAAE,GAAE;AAAE,QAAG,KAAK,UAAS;AAAC,UAAG,EAAE,aAAW,IAAE,EAAE,WAAW,IAAG,EAAE,GAAG,IAAI;AAAE,eAAO;AAAG,UAAG,EAAE,GAAG,KAAK,KAAK,CAAC,CAAC;AAAE,eAAO;AAAG,UAAE;AAAA,IAAE,OAAK;AAAC,UAAG,KAAK,GAAG,EAAE,GAAE;AAAC,YAAG,EAAE,GAAG,EAAE,KAAG,EAAE,GAAG,EAAE;AAAE,iBAAO;AAAG,YAAG,EAAE,GAAG,EAAE;AAAE,iBAAO;AAAG,YAAI,IAAE,KAAK,IAAI,CAAC;AAAE,eAAO,IAAE,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,GAAG,EAAE,IAAE,EAAE,WAAW,IAAE,KAAG,MAAI,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,IAAI,CAAC,CAAC,GAAE;AAAA,MAAE,WAAS,EAAE,GAAG,EAAE;AAAE,eAAO,KAAK,WAAS,KAAG;AAAG,UAAG,KAAK,WAAW;AAAE,eAAO,EAAE,WAAW,IAAE,KAAK,IAAI,EAAE,IAAI,EAAE,IAAI,CAAC,IAAE,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,UAAG,EAAE,WAAW;AAAE,eAAO,KAAK,IAAI,EAAE,IAAI,CAAC,EAAE,IAAI;AAAE,UAAE;AAAA,IAAE;AAAC,SAAI,IAAE,MAAK,EAAE,IAAI,CAAC,KAAG;AAAC,UAAE,KAAK,IAAI,GAAE,KAAK,MAAM,EAAE,SAAS,IAAE,EAAE,SAAS,CAAC,CAAC;AAAE,eAAQ,IAAE,KAAK,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,GAAG,GAAE,IAAE,KAAG,KAAG,IAAE,GAAG,GAAE,IAAE,EAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,EAAE,WAAW,KAAG,EAAE,GAAG,CAAC;AAAG,aAAG,GAAE,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,EAAE,IAAI,CAAC;AAAE,QAAE,OAAO,MAAI,IAAE,KAAI,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,SAAO,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,IAAG;AAAC,UAAIA,OAAG,KAAK,WAAS,GAAG,QAAM,GAAG,OAAO,KAAK,KAAI,KAAK,MAAK,EAAE,KAAI,EAAE,IAAI;AAAE,aAAO,GAAGA,KAAE,GAAG,SAAS,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAC,WAAO,KAAK,IAAI,KAAK,IAAI,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,GAAG;AAAO,KAAG,MAAI,WAAU;AAAC,WAAO,GAAG,CAAC,KAAK,KAAI,CAAC,KAAK,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,KAAG,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,GAAG,KAAK,MAAI,EAAE,KAAI,KAAK,OAAK,EAAE,MAAK,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,YAAU,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,KAAI,KAAG,QAAM,IAAE,OAAK,IAAE,KAAG,GAAG,KAAK,OAAK,GAAE,KAAK,QAAM,IAAE,KAAK,QAAM,KAAG,GAAE,KAAK,QAAQ,IAAE,GAAG,GAAE,KAAK,OAAK,IAAE,IAAG,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAU,KAAG,aAAW,SAAS,GAAE;AAAC,WAAO,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,KAAI,KAAG,QAAM,IAAE,OAAK,IAAE,KAAG,GAAG,KAAK,QAAM,IAAE,KAAK,QAAM,KAAG,GAAE,KAAK,QAAM,GAAE,KAAK,QAAQ,IAAE,GAAG,KAAK,QAAM,IAAE,IAAG,KAAK,QAAM,IAAE,IAAE,IAAG,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,MAAI,GAAG;AAAW,KAAG,qBAAmB,SAAS,GAAE;AAAC,QAAG,GAAG,CAAC,MAAI,IAAE,EAAE,MAAM,IAAG,KAAG,IAAG,MAAI;AAAE,aAAO;AAAK,QAAIA,MAAE,KAAK;AAAK,QAAG,IAAE,IAAG;AAAC,UAAI,IAAE,KAAK;AAAI,aAAO,GAAG,MAAI,IAAEA,OAAG,KAAG,GAAEA,QAAI,GAAE,KAAK,QAAQ;AAAA,IAAC;AAAM,aAAO,MAAI,KAAG,GAAGA,KAAE,GAAE,KAAK,QAAQ,IAAE,GAAGA,QAAI,IAAE,IAAG,GAAE,KAAK,QAAQ;AAAA,EAAC;AAAE,KAAG,OAAK,GAAG;AAAmB,KAAG,QAAM,GAAG;AAAmB,KAAG,WAAS,WAAU;AAAC,WAAO,KAAK,WAAS,GAAG,KAAK,KAAI,KAAK,MAAK,KAAE,IAAE;AAAA,EAAI;AAAE,KAAG,aAAW,WAAU;AAAC,WAAO,KAAK,WAAS,OAAK,GAAG,KAAK,KAAI,KAAK,MAAK,IAAE;AAAA,EAAC;AAAE,KAAG,UAAQ,SAAS,GAAE;AAAC,WAAO,IAAE,KAAK,UAAU,IAAE,KAAK,UAAU;AAAA,EAAC;AAAE,KAAG,YAAU,WAAU;AAAC,QAAI,IAAE,KAAK,MAAKA,MAAE,KAAK;AAAI,WAAM,CAACA,MAAE,KAAIA,QAAI,IAAE,KAAIA,QAAI,KAAG,KAAIA,QAAI,IAAG,IAAE,KAAI,MAAI,IAAE,KAAI,MAAI,KAAG,KAAI,MAAI,EAAE;AAAA,EAAC;AAAE,KAAG,YAAU,WAAU;AAAC,QAAI,IAAE,KAAK,MAAKA,MAAE,KAAK;AAAI,WAAM,CAAC,MAAI,IAAG,MAAI,KAAG,KAAI,MAAI,IAAE,KAAI,IAAE,KAAIA,QAAI,IAAGA,QAAI,KAAG,KAAIA,QAAI,IAAE,KAAIA,MAAE,GAAG;AAAA,EAAC;AAAE,KAAG,YAAU,SAAS,GAAEA,KAAE,GAAE;AAAC,WAAO,IAAE,GAAG,YAAY,GAAEA,GAAC,IAAE,GAAG,YAAY,GAAEA,GAAC;AAAA,EAAC;AAAE,KAAG,cAAY,SAAS,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAGA,GAAC;AAAA,EAAC;AAAE,KAAG,cAAY,SAAS,GAAEA,KAAE;AAAC,WAAO,IAAI,GAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,IAAE,EAAE,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE,EAAE;AAAE,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,UAAQ,EAAE,KAAG,EAAE,IAAE;AAAsB,eAAO,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,KAAG,EAAE,IAAE,IAAE;AAAA,MAAE,GAAE,EAAE,IAAE,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,KAAG,EAAE,GAAG,GAAE,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,EAAE,MAAI,EAAE,CAAC,GAAE,EAAE,KAAG,MAAI,EAAE,MAAI,IAAG,IAAE;AAAA,IAAI;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG,EAAE,KAAG,EAAE,IAAG;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,EAAE;AAAK,aAAO,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,KAAK,IAAE,aAAW;AAAA,MAAC,GAAE,EAAE,SAAO,WAAU;AAAC,eAAO,EAAE,KAAG,EAAE,IAAE,UAAQ,KAAG;AAAA,MAAqB,GAAE,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,aAAS,IAAG;AAAC,UAAI,IAAE,YAAW,IAAE,SAAS,GAAE;AAAC,YAAE,OAAO,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,eAAG,EAAE,WAAW,CAAC;AAAE,cAAI,IAAE,sBAAmB;AAAE,cAAE,MAAI,GAAE,KAAG,GAAE,KAAG,GAAE,IAAE,MAAI,GAAE,KAAG,GAAE,KAAG,IAAE;AAAA,QAAU;AAAC,gBAAO,MAAI,KAAG;AAAA,MAAqB;AAAE,aAAO;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,OAAK;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,IAAE,EAAE,KAAG;AAAG,eAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,KAAG,EAAE,MAAI,KAAG,IAAE,MAAI;AAAA,MAAC,GAAE,OAAK,IAAE,KAAG,EAAE,IAAE,IAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,IAAE,EAAE,MAAI;AAAE,eAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,IAAG,EAAE,IAAE,EAAE,IAAE,SAAO,MAAI,EAAE,IAAE,EAAE,IAAE,EAAE,KAAG,KAAG,IAAE,KAAG,MAAI;AAAA,MAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,OAAK,IAAE,KAAG,EAAE,IAAE,IAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,KAAG,EAAE,WAAS,EAAE,IAAE,EAAE,KAAG,KAAG,EAAE,MAAI,IAAG,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE;AAAK,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,GAAE,GAAE;AAAE,eAAO,IAAE,EAAE,CAAC,GAAE,KAAG,MAAI,GAAE,IAAE,IAAE,KAAG,IAAG,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,MAAI,IAAG,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,MAAI,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,KAAG,IAAE,KAAG,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,KAAG,IAAG,KAAG,IAAE,KAAG,GAAE,EAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,IAAE,GAAE;AAAA,MAAC;AAAE,eAAS,EAAE,GAAE,GAAE;AAAC,YAAI,GAAE,GAAE,IAAE,CAAC;AAAE,YAAG,OAAK,IAAE;AAAG,cAAE,EAAE,CAAC,IAAE;AAAA;AAAO,eAAI,IAAE,KAAG,GAAE,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,cAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC,KAAG,KAAG,EAAE,WAAW,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC,KAAG;AAAG,eAAK,EAAE,SAAO;AAAG,YAAE,KAAK,CAAC;AAAE,aAAI,IAAE,GAAE,IAAE,KAAG,EAAE,CAAC,MAAI,GAAE,EAAE;AAAE;AAAC,aAAI,KAAG,IAAE,IAAE,EAAE,CAAC,IAAE,KAAG,IAAE,EAAE,CAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK;AAAA,MAAC;AAAC,QAAE,GAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,WAAG,SAAO,IAAE,CAAC,oBAAI;AAAM,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,YAAU;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE;AAAK,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,GAAE;AAAE,eAAO,EAAE,IAAE,IAAE,IAAE,aAAW,GAAE,IAAE,EAAE,IAAE,KAAG,GAAG,GAAE,IAAE,EAAE,IAAE,IAAE,IAAE,GAAG,GAAE,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,MAAI,IAAG,IAAE,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,IAAE,GAAE,KAAG,IAAE,MAAI,MAAI;AAAA,MAAC;AAAE,eAAS,EAAE,GAAE,GAAE;AAAC,YAAI,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAI,aAAI,OAAK,IAAE,MAAI,IAAE,GAAE,IAAE,SAAO,IAAE,IAAE,MAAK,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,EAAE,MAAM,IAAG,IAAE,GAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,gBAAI,KAAG,EAAE,YAAY,IAAE,MAAI,EAAE,MAAM,IAAG,MAAI,MAAI,IAAE,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,KAAG,GAAE,KAAG,MAAI,IAAG,KAAG,MAAI,IAAE,IAAE,aAAW,GAAE,IAAE,EAAE,IAAE,GAAG,KAAG,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE;AAAG,aAAI,KAAG,QAAM,GAAG,KAAG,EAAE,UAAQ,KAAG,GAAG,IAAE,KAAI,IAAE,KAAI,IAAE,IAAE,KAAI,IAAE,GAAE,EAAE;AAAE,cAAE,EAAE,IAAE,KAAG,GAAG,GAAE,IAAE,EAAE,IAAE,IAAE,IAAE,GAAG,GAAE,KAAG,KAAG,IAAG,KAAG,KAAG,IAAG,KAAG,MAAI,IAAG,KAAG,MAAI,IAAG,EAAE,CAAC,IAAE,IAAE;AAAE,UAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE;AAAA,MAAC;AAAC,QAAE,GAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,WAAG,SAAO,IAAE,CAAC,oBAAI;AAAM,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,UAAQ;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,MAAK,IAAE;AAAG,QAAE,OAAK,WAAU;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE;AAAE,eAAO,IAAE,KAAG,KAAG,MAAI,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,KAAG,MAAI,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,EAAE,IAAE,IAAE,KAAG,KAAG,MAAI,KAAG,GAAE,EAAE,IAAE,IAAE,IAAE,IAAE,GAAE,EAAE,IAAE,KAAG,KAAG,MAAI,KAAG,GAAE,EAAE,IAAE,IAAE,IAAE;AAAA,MAAC,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE,EAAE,IAAE,aAAY,EAAE,IAAE,YAAW,MAAI,KAAK,MAAM,CAAC,KAAG,EAAE,IAAE,IAAE,aAAW,GAAE,EAAE,IAAE,IAAE,KAAG,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,IAAG;AAAI,UAAE,KAAG,EAAE,WAAW,CAAC,IAAE,GAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,KAAG,EAAE,OAAM,IAAE,WAAU;AAAC,gBAAO,EAAE,KAAK,MAAI,KAAG;AAAA,MAAU;AAAE,aAAO,EAAE,SAAO,WAAU;AAAC;AAAG,cAAI,IAAE,EAAE,KAAK,MAAI,IAAG,KAAG,EAAE,KAAK,MAAI,KAAG,YAAW,KAAG,IAAE,MAAI,KAAG;AAAA,eAAU,MAAI;AAAG,eAAO;AAAA,MAAC,GAAE,EAAE,QAAM,EAAE,MAAK,EAAE,QAAM,GAAE,MAAI,OAAO,KAAG,YAAU,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,GAAE,CAAC,CAAC;AAAA,MAAC,IAAG;AAAA,IAAC;AAAC,SAAG,EAAE,UAAQ,EAAE,UAAQ,IAAEA,OAAGA,IAAE,MAAIA,IAAE,WAAU;AAAC,aAAO;AAAA,IAAC,CAAC,IAAE,KAAK,SAAO;AAAA,EAAC,GAAG,IAAG,OAAO,MAAI,YAAU,IAAG,OAAO,UAAQ,cAAY,MAAM;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,GAAC,SAAS,GAAE,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAI,IAAE,GAAE,IAAE,IAAG,IAAE,UAAS,IAAEA,IAAE,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,GAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE;AAAE,aAAS,EAAE,GAAE,GAAE,GAAE;AAAC,UAAI,IAAE,CAAC;AAAE,UAAE,KAAG,OAAG,EAAC,SAAQ,KAAE,IAAE,KAAG,CAAC;AAAE,UAAI,IAAE,EAAE,EAAE,EAAE,UAAQ,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,KAAG,OAAK,EAAE,IAAE,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,IAAI,EAAE,CAAC,GAAE,IAAE,WAAU;AAAC,iBAAQ,IAAE,EAAE,EAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,eAAG,IAAE,KAAG,GAAE,KAAG,GAAE,IAAE,EAAE,EAAE,CAAC;AAAE,eAAK,KAAG;AAAG,eAAG,GAAE,KAAG,GAAE,OAAK;AAAE,gBAAO,IAAE,KAAG;AAAA,MAAC;AAAE,aAAO,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,EAAE,CAAC,IAAE;AAAA,MAAC,GAAE,EAAE,QAAM,WAAU;AAAC,eAAO,EAAE,EAAE,CAAC,IAAE;AAAA,MAAU,GAAE,EAAE,SAAO,GAAE,EAAE,EAAE,EAAE,CAAC,GAAE,CAAC,IAAG,EAAE,QAAM,KAAG,SAAS,GAAE,GAAE,GAAE,GAAE;AAAC,eAAO,MAAI,EAAE,KAAG,EAAE,GAAE,CAAC,GAAE,EAAE,QAAM,WAAU;AAAC,iBAAO,EAAE,GAAE,CAAC,CAAC;AAAA,QAAC,IAAG,KAAGA,IAAE,CAAC,IAAE,GAAE,KAAG;AAAA,MAAC,GAAG,GAAE,GAAE,YAAW,IAAE,EAAE,SAAO,QAAMA,KAAE,EAAE,KAAK;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,GAAE,IAAE,EAAE,IAAE,EAAE,IAAE,GAAE,IAAE,EAAE,IAAE,CAAC;AAAE,WAAI,MAAI,IAAE,CAAC,GAAG,IAAG,IAAE;AAAG,UAAE,CAAC,IAAE;AAAI,WAAI,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,CAAC,IAAE,EAAE,IAAE,IAAE,IAAE,EAAE,IAAE,CAAC,KAAG,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,CAAC,IAAE;AAAE,OAAC,EAAE,IAAE,SAAS,GAAE;AAAC,iBAAQ,GAAE,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,GAAE;AAAK,cAAE,EAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,KAAG,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,IAAE,CAAC,MAAI,EAAE,CAAC,IAAE,EAAE;AAAE,eAAO,EAAE,IAAE,GAAE,EAAE,IAAE,GAAE;AAAA,MAAC,GAAG,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAO,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,GAAE,EAAE,IAAE,EAAE,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,UAAI,IAAE,CAAC,GAAE,IAAE,OAAO,GAAE;AAAE,UAAG,KAAG,KAAG;AAAS,aAAI,KAAK;AAAE,cAAG;AAAC,cAAE,KAAK,EAAE,EAAE,CAAC,GAAE,IAAE,CAAC,CAAC;AAAA,UAAC,SAAO,GAAN;AAAA,UAAS;AAAC,aAAO,EAAE,SAAO,IAAE,KAAG,WAAS,IAAE,IAAE;AAAA,IAAI;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,eAAQ,IAAE,IAAE,IAAG,GAAE,IAAE,GAAE,IAAE,EAAE;AAAQ,UAAE,IAAE,CAAC,IAAE,KAAG,KAAG,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,WAAW,GAAG;AAAE,aAAO,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,IAAG;AAAC,UAAG;AAAC,YAAI;AAAE,eAAO,MAAI,IAAE,EAAE,eAAa,IAAE,EAAE,CAAC,KAAG,IAAE,IAAI,WAAW,CAAC,IAAG,EAAE,UAAQ,EAAE,UAAU,gBAAgB,CAAC,IAAG,EAAE,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,YAAI,IAAE,EAAE,WAAU,IAAE,KAAG,EAAE;AAAQ,eAAM,CAAC,CAAC,oBAAI,QAAK,GAAE,GAAE,EAAE,QAAO,EAAE,CAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,OAAO,aAAa,MAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAEA,IAAE,OAAO,GAAE,CAAC,GAAE,OAAO,MAAI,YAAU,GAAG,SAAQ;AAAC,SAAG,UAAQ;AAAE,UAAG;AAAC,YAAE,GAAG;AAAA,MAAC,SAAO,GAAN;AAAA,MAAS;AAAA,IAAC;AAAM,aAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,WAAU;AAAC,eAAO;AAAA,MAAC,CAAC,IAAEA,IAAE,SAAO,CAAC,IAAE;AAAA,EAAC,GAAG,OAAO,QAAM,cAAY,OAAK,IAAG,CAAC,GAAE,IAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,MAAI,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG,GAAE,KAAG,GAAG;AAAE,KAAG,OAAK;AAAG,KAAG,SAAO;AAAG,KAAG,SAAO;AAAG,KAAG,YAAU;AAAG,KAAG,UAAQ;AAAG,KAAG,SAAO;AAAG,KAAG,UAAQ;AAAE,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,MAAI;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,MAAI,MAAI,MAAI;AAAC,QAAI,IAAE,OAAO,YAAU,eAAa,SAAS,gBAAc,SAAS,cAAc,MAAI;AAAO,WAAO,OAAO,cAAY,gBAAc,IAAE,KAAG,aAAY,SAAS,GAAE;AAAC,UAAE,KAAG,CAAC;AAAE,eAASA,MAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,eAAS,IAAG;AAAC,eAAO,GAAG,UAAQ,MAAI,GAAG,GAAG,MAAM,GAAE;AAAA,MAAE;AAAC,UAAI,IAAE,OAAO,KAAG,cAAY,IAAE,CAAC,GAAE,GAAE;AAAE,QAAE,QAAM,IAAI,QAAQ,SAAS,GAAE,GAAE;AAAC,YAAE,GAAE,IAAE;AAAA,MAAC,CAAC;AAAE,UAAI;AAAE,aAAO,WAAS,eAAa,QAAQ,cAAY,IAAE,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAC;AAAG,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,kBAAiB,IAAE,CAAC,GAAE,MAAI;AAAC,cAAM;AAAA,MAAC,GAAE,IAAE,OAAO,UAAQ,UAAS,IAAE,OAAO,iBAAe,YAAW,IAAE,OAAO,WAAS,YAAU,OAAO,QAAQ,YAAU,YAAU,OAAO,QAAQ,SAAS,QAAM,UAAS,IAAE,EAAE,0BAAwB,OAAG,IAAE;AAAG,eAAS,EAAE,GAAE;AAAC,eAAO,EAAE,aAAW,EAAE,WAAW,GAAE,CAAC,IAAE,IAAE;AAAA,MAAC;AAAC,UAAI,GAAE,GAAE,GAAE;AAAE,eAAS,EAAE,GAAE;AAAC,YAAG,aAAa;AAAG;AAAO,UAAE,+BAA6B,CAAC;AAAA,MAAC;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,GAAG;AAAE,YAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,MAAI,IAAE,YAAU,KAAI,IAAE,CAAC,GAAE,QAAM,IAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,aAAa,GAAE,KAAG,SAAO,MAAM,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,EAAE,GAAE,IAAE;AAAE,iBAAO,GAAG,WAAS,KAAG,IAAI,WAAW,EAAE,IAAG;AAAA,QAAE,GAAE,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,SAAS,GAAE,SAAS,IAAG,IAAG;AAAC,iBAAG,GAAG,EAAE,IAAE,GAAG,GAAG,MAAM;AAAA,UAAC,CAAC;AAAA,QAAC,GAAE,QAAQ,KAAK,SAAO,MAAI,IAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,OAAM,GAAG,IAAG,IAAE,QAAQ,KAAK,MAAM,CAAC,GAAE,QAAQ,GAAG,qBAAoB,SAAS,GAAE;AAAC,cAAG,EAAE,aAAa;AAAI,kBAAM;AAAA,QAAC,CAAC,GAAE,QAAQ,GAAG,sBAAqB,SAAS,GAAE;AAAC,gBAAM;AAAA,QAAC,CAAC,GAAE,IAAE,CAAC,GAAE,OAAK;AAAC,cAAG,GAAG;AAAE,kBAAM,QAAQ,WAAS,GAAE;AAAG,YAAE,EAAE,GAAE,QAAQ,KAAK,CAAC;AAAA,QAAC,GAAE,EAAE,UAAQ,WAAU;AAAC,iBAAM;AAAA,QAA4B;AAAE,YAAI;AAAE,YAAG;AAAC,cAAE,GAAG;AAAA,QAAC,SAAO,GAAN;AAAS,gBAAM,QAAQ,MAAM,yGAAyG,GAAE;AAAA,QAAC;AAAC,eAAO,SAAO,EAAE;AAAA,MAAM;AAAK,SAAC,KAAG,OAAK,IAAE,IAAE,KAAK,SAAS,OAAK,OAAO,YAAU,eAAa,SAAS,kBAAgB,IAAE,SAAS,cAAc,MAAK,OAAO,KAAG,eAAa,MAAI,IAAE,IAAG,EAAE,QAAQ,OAAO,MAAI,IAAE,IAAE,EAAE,OAAO,GAAE,EAAE,QAAQ,UAAS,EAAE,EAAE,YAAY,GAAG,IAAE,CAAC,IAAE,IAAE,IAAG,MAAI,IAAE,OAAG;AAAC,cAAI,IAAE,IAAI;AAAe,iBAAO,EAAE,KAAK,OAAM,GAAE,KAAE,GAAE,EAAE,KAAK,IAAI,GAAE,EAAE;AAAA,QAAY,GAAE,MAAI,IAAE,OAAG;AAAC,cAAI,IAAE,IAAI;AAAe,iBAAO,EAAE,KAAK,OAAM,GAAE,KAAE,GAAE,EAAE,eAAa,eAAc,EAAE,KAAK,IAAI,GAAE,IAAI,WAAW,EAAE,QAAQ;AAAA,QAAC,IAAG,IAAE,CAAC,GAAE,GAAE,OAAK;AAAC,cAAI,KAAG,IAAI;AAAe,aAAG,KAAK,OAAM,GAAE,IAAE,GAAE,GAAG,eAAa,eAAc,GAAG,SAAO,MAAI;AAAC,gBAAG,GAAG,UAAQ,OAAK,GAAG,UAAQ,KAAG,GAAG,UAAS;AAAC,gBAAE,GAAG,QAAQ;AAAE;AAAA,YAAM;AAAC,eAAG;AAAA,UAAC,GAAE,GAAG,UAAQ,IAAG,GAAG,KAAK,IAAI;AAAA,QAAC,IAAG,IAAE,OAAG,SAAS,QAAM;AAAG,WAAG,OAAO,eAAa,gBAAc,OAAO,cAAY,GAAG,EAAE;AAAa,UAAI,IAAE,QAAQ,IAAI,KAAK,OAAO,GAAE,IAAE,QAAQ,KAAK,KAAK,OAAO;AAAE,YAAI,IAAE,OAAG,EAAE,UAAU,GAAE,IAAE;AAAA,CAC1loB,GAAE,IAAE,OAAG,EAAE,UAAU,GAAE,IAAE;AAAA,CACvB;AAAG,UAAI,IAAE,EAAE,SAAO,GAAE,IAAE,EAAE,YAAU;AAAE,aAAO,OAAO,GAAE,CAAC,GAAE,IAAE,MAAK,EAAE,cAAY,IAAE,EAAE,YAAW,EAAE,gBAAc,IAAE,EAAE,cAAa,EAAE,SAAO,IAAE,EAAE;AAAM,UAAI,IAAE,GAAE,IAAE,QAAQ,MAAK,IAAE,QAAQ,OAAM,KAAG,QAAQ,iBAAgB;AAAG,QAAE,eAAa,KAAG,EAAE;AAAY,UAAI,KAAG,EAAE,iBAAe;AAAG,aAAO,eAAa,YAAU,GAAG,iCAAiC;AAAE,UAAI,IAAG,IAAG,KAAG,OAAG;AAAG,eAAS,GAAG,GAAE,GAAE;AAAC,aAAG,GAAG,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,OAAO,eAAa,cAAY,IAAI,YAAY,MAAM,IAAE;AAAO,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,eAAK;AAAE,iBAAQ,KAAG,IAAE,IAAG,KAAG,GAAE,EAAE,EAAE,KAAG,EAAE,MAAI;AAAK,YAAE;AAAG,YAAG,KAAG,IAAE,MAAI,EAAE,UAAQ;AAAG,iBAAO,GAAG,OAAO,EAAE,kBAAkB,oBAAkB,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,SAAS,GAAE,EAAE,CAAC;AAAE,iBAAQ,KAAG,IAAG,IAAE,MAAI;AAAC,cAAI,KAAG,EAAE,GAAG;AAAE,cAAG,EAAE,KAAG,MAAK;AAAC,kBAAI,OAAO,aAAa,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,GAAG,IAAE;AAAG,eAAI,KAAG,QAAM,KAAI;AAAC,kBAAI,OAAO,cAAc,KAAG,OAAK,IAAE,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,GAAG,IAAE;AAAG,eAAI,KAAG,QAAM,MAAI,MAAI,KAAG,OAAK,KAAG,MAAI,IAAE,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,EAAE,GAAG,IAAE,IAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,EAAE;AAAA,eAAM;AAAC,gBAAI,KAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,QAAM,MAAI,IAAG,QAAM,KAAG,IAAI;AAAA,UAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,eAAO,OAAK,GAAE,IAAE,GAAG,EAAE,GAAE,GAAE,CAAC,IAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,QAAM,GAAE,EAAE,KAAG;AAAG,iBAAO;AAAE,iBAAQ,KAAG,IAAG,KAAG,KAAG,KAAG,GAAE,KAAG,GAAE,KAAG,EAAE,QAAO,EAAE,IAAG;AAAC,cAAI,KAAG,EAAE,WAAW,EAAE;AAAE,cAAG,MAAI,SAAO,MAAI,OAAM;AAAC,gBAAI,KAAG,EAAE,WAAW,EAAE,EAAE;AAAE,iBAAG,UAAQ,KAAG,SAAO,MAAI,KAAG;AAAA,UAAI;AAAC,cAAG,MAAI,KAAI;AAAC,gBAAG,MAAI;AAAG;AAAM,cAAE,SAAO,CAAC,IAAE;AAAA,UAAE,WAAS,MAAI,MAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,SAAO,CAAC,IAAE,MAAI,MAAI,GAAE,EAAE,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE,WAAS,MAAI,OAAM;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,SAAO,CAAC,IAAE,MAAI,MAAI,IAAG,EAAE,SAAO,CAAC,IAAE,MAAI,MAAI,IAAE,IAAG,EAAE,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE,OAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,cAAE,SAAO,CAAC,IAAE,MAAI,MAAI,IAAG,EAAE,SAAO,CAAC,IAAE,MAAI,MAAI,KAAG,IAAG,EAAE,SAAO,CAAC,IAAE,MAAI,MAAI,IAAE,IAAG,EAAE,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE;AAAA,QAAC;AAAC,eAAO,EAAE,OAAK,CAAC,IAAE,GAAE,KAAG;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,eAAO,GAAG,GAAE,EAAE,GAAE,GAAE,EAAE;AAAA,MAAC;AAAC,UAAI,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG;AAAG,YAAI,KAAG,EAAE;AAAQ,eAAS,GAAG,GAAE;AAAC,aAAG,GAAE,EAAE,QAAM,KAAG,IAAI,UAAU,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,aAAa,CAAC,GAAE,EAAE,UAAQ,KAAG,IAAI,aAAa,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAE,kBAAgB;AAAS,UAAG;AAAE,aAAG,EAAE,YAAW,KAAG,EAAE;AAAA,eAAe,EAAE;AAAW,aAAG,EAAE;AAAA,eAAmB,KAAG,IAAI,YAAY,OAAO,EAAC,SAAQ,KAAG,OAAM,SAAQ,OAAM,QAAO,KAAE,CAAC,GAAE,EAAE,GAAG,kBAAkB;AAAmB,cAAM,EAAE,6NAA6N,GAAE,KAAG,EAAE,2GAA2G,GAAE,MAAM,YAAY;AAAE,aAAK,KAAG,GAAG,SAAQ,KAAG,GAAG,YAAW,GAAG,EAAE;AAAE,UAAI,IAAG,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,YAAG,EAAE;AAAO,eAAI,OAAO,EAAE,UAAQ,eAAa,EAAE,SAAO,CAAC,EAAE,MAAM,IAAG,EAAE,OAAO;AAAQ,eAAG,EAAE,OAAO,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,aAAG,MAAG,CAAC,KAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,GAAE;AAAC,cAAG,EAAE;AAAQ,iBAAI,OAAO,EAAE,WAAS,eAAa,EAAE,UAAQ,CAAC,EAAE,OAAO,IAAG,EAAE,QAAQ;AAAQ,iBAAG,EAAE,QAAQ,MAAM,CAAC;AAAE,aAAG,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,GAAE,KAAG,MAAK,KAAG;AAAK,eAAS,GAAG,GAAE;AAAC,cAAK,EAAE,0BAAwB,EAAE,uBAAuB,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG,MAAK,EAAE,0BAAwB,EAAE,uBAAuB,EAAE,GAAE,MAAI,MAAI,OAAK,SAAO,cAAc,EAAE,GAAE,KAAG,OAAM,KAAI;AAAC,cAAI,IAAE;AAAG,eAAG,MAAK,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,UAAE,WAAS,EAAE,QAAQ,CAAC,GAAE,IAAE,aAAW,IAAE,KAAI,EAAE,CAAC,GAAE,KAAG,MAAG,KAAG,GAAE,KAAG;AAA2C,YAAI,IAAE,IAAI,YAAY,aAAa,CAAC;AAAE,cAAM,EAAE,CAAC,GAAE;AAAA,MAAC;AAAC,UAAI,KAAG;AAAwC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,SAAS;AAAA,MAAC;AAAC,UAAI;AAAG,WAAG,wCAAuC,GAAG,EAAE,MAAI,KAAG,EAAE,EAAE;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,cAAG,KAAG,MAAI;AAAG,mBAAO,IAAI,WAAW,EAAE;AAAE,cAAG;AAAE,mBAAO,EAAE,CAAC;AAAE,gBAAK;AAAA,QAAiD,SAAO,GAAN;AAAS,aAAG,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,OAAK,KAAG,IAAG;AAAC,cAAG,OAAO,SAAO,cAAY,CAAC,GAAG,EAAE;AAAE,mBAAO,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,GAAE;AAAC,kBAAG,CAAC,EAAE;AAAG,sBAAK,yCAAuC,KAAG;AAAI,qBAAO,EAAE,YAAY;AAAA,YAAC,CAAC,EAAE,MAAM,WAAU;AAAC,qBAAO,GAAG,EAAE;AAAA,YAAC,CAAC;AAAE,cAAG;AAAE,mBAAO,IAAI,QAAQ,SAAS,GAAE,GAAE;AAAC,gBAAE,IAAG,SAAS,IAAG;AAAC,kBAAE,IAAI,WAAW,EAAE,CAAC;AAAA,cAAC,GAAE,CAAC;AAAA,YAAC,CAAC;AAAA,QAAC;AAAC,eAAO,QAAQ,QAAQ,EAAE,KAAK,WAAU;AAAC,iBAAO,GAAG,EAAE;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,EAAC,KAAI,IAAG,wBAAuB,GAAE;AAAE,iBAAS,EAAE,IAAG,IAAG;AAAC,cAAI,KAAG,GAAG;AAAQ,cAAG,EAAE,MAAI,IAAG,GAAG,EAAE,IAAI,oBAAoB,GAAE,KAAG,EAAE,IAAI,2BAA0B,GAAG,EAAE,IAAI,iBAAiB,GAAE,KAAG,IAAG,CAAC,GAAE;AAAC,gBAAI,KAAG,GAAG,cAAc;AAAO,eAAG,cAAc,QAAQ,SAAS,IAAG;AAAC,iBAAG,uBAAuB,IAAG,WAAU;AAAC,kBAAE,MAAI,GAAG,kBAAkB;AAAA,cAAC,CAAC;AAAA,YAAC,CAAC;AAAA,UAAC;AAAA,QAAC;AAAC,aAAG,GAAG,kBAAkB;AAAE,iBAAS,GAAG,IAAG;AAAC,YAAE,GAAG,UAAS,GAAG,MAAM;AAAA,QAAC;AAAC,iBAAS,GAAG,IAAG;AAAC,iBAAO,GAAG,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO,YAAY,YAAY,IAAG,CAAC;AAAA,UAAC,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO;AAAA,UAAE,CAAC,EAAE,KAAK,IAAG,SAAS,IAAG;AAAC,cAAE,4CAA0C,EAAE,GAAE,GAAG,EAAE;AAAA,UAAC,CAAC;AAAA,QAAC;AAAC,iBAAS,KAAI;AAAC,iBAAM,CAAC,MAAI,OAAO,YAAY,wBAAsB,cAAY,CAAC,GAAG,EAAE,KAAG,CAAC,GAAG,EAAE,KAAG,CAAC,KAAG,OAAO,SAAO,aAAW,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,gBAAI,KAAG,YAAY,qBAAqB,IAAG,CAAC;AAAE,mBAAO,GAAG,KAAK,IAAG,SAAS,IAAG;AAAC,qBAAO,EAAE,oCAAkC,EAAE,GAAE,EAAE,2CAA2C,GAAE,GAAG,EAAE;AAAA,YAAC,CAAC;AAAA,UAAC,CAAC,IAAE,GAAG,EAAE;AAAA,QAAC;AAAC,YAAG,EAAE;AAAgB,cAAG;AAAC,gBAAI,KAAG,EAAE,gBAAgB,GAAE,CAAC;AAAE,mBAAO;AAAA,UAAE,SAAO,IAAN;AAAU,cAAE,wDAAsD,EAAE,GAAE,EAAE,EAAE;AAAA,UAAC;AAAC,eAAO,GAAG,EAAE,MAAM,CAAC,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,IAAG,IAAG,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE;AAAC,aAAK,OAAK,cAAa,KAAK,UAAQ,kCAAgC,IAAE,KAAI,KAAK,SAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,eAAO,GAAG,SAAS,CAAC,GAAE,EAAE,UAAU,GAAE,GAAG,CAAC,GAAE,GAAG,eAAe,OAAO,GAAG,eAAe,QAAQ,CAAC,GAAE,CAAC,GAAE,EAAE,cAAY;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,UAAE,YAAY,EAAC,KAAI,SAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,SAAS,CAAC;AAAE,WAAG,CAAC,GAAE,GAAG,mBAAmB,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,aAAa;AAAE,YAAG,CAAC;AAAE,iBAAO;AAAE,WAAG,eAAe,KAAK,CAAC,GAAE,GAAG,SAAS,EAAE,WAAW,IAAE,GAAE,EAAE,cAAY,EAAE;AAAY,YAAI,KAAG,EAAC,KAAI,OAAM,eAAc,EAAE,cAAa,KAAI,EAAE,KAAI,aAAY,EAAE,YAAW;AAAE,eAAO,EAAE,aAAW,MAAI;AAAC,eAAG,EAAE,IAAI,GAAE,EAAE,YAAY,IAAG,EAAE,YAAY,GAAE,OAAO,EAAE;AAAA,QAAU,GAAE,EAAE,UAAQ,EAAE,WAAW,GAAE;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,SAAQ,QAAO,KAAI,WAAU;AAAC,WAAG,WAAS;AAAE,YAAI,IAAE,EAAE,EAAE,GAAG,UAAQ,MAAI,CAAC;AAAE,eAAO;AAAA,MAAC,GAAE,QAAO,SAAS,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,eAAO;AAAA,MAAC,EAAC;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,CAAC;AAAE,aAAG,GAAE,GAAG,MAAI,GAAG,oBAAoB,GAAE,EAAE,UAAQ,EAAE,OAAO,CAAC,GAAE,KAAG,OAAI,EAAE,GAAE,IAAI,GAAG,CAAC,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAG,KAAG,GAAE,CAAC,KAAG;AAAE,gBAAM,GAAG,CAAC,GAAE;AAAS,WAAG,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG,aAAa,MAAI,KAAG;AAAS,iBAAO;AAAG,UAAE,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,eAAc,CAAC,GAAE,gBAAe,CAAC,GAAE,kBAAiB,CAAC,GAAE,UAAS,CAAC,GAAE,MAAK,WAAU;AAAC,YAAE,GAAG,WAAW,IAAE,GAAG,eAAe;AAAA,MAAC,GAAE,gBAAe,WAAU;AAAC,iBAAQ,IAAE,GAAE;AAAK,aAAG,qBAAqB;AAAA,MAAC,GAAE,YAAW,WAAU;AAAC,aAAG;AAAA,MAAE,GAAE,eAAc,SAAS,GAAE;AAAC,aAAG;AAAA,MAAC,GAAE,qBAAoB,WAAU;AAAC,iBAAQ,KAAK,OAAO,OAAO,GAAG,QAAQ;AAAE,aAAG,mBAAmB,CAAC;AAAE,iBAAQ,KAAK,GAAG;AAAc,YAAE,UAAU;AAAE,WAAG,gBAAc,CAAC;AAAA,MAAC,GAAE,oBAAmB,SAAS,GAAE;AAAC,YAAI,IAAE,EAAE;AAAY,eAAO,GAAG,SAAS,CAAC,GAAE,GAAG,cAAc,KAAK,CAAC,GAAE,GAAG,eAAe,OAAO,GAAG,eAAe,QAAQ,CAAC,GAAE,CAAC,GAAE,EAAE,cAAY,GAAE,KAAG,EAAE,MAAM,GAAE,GAAG,CAAC;AAAA,MAAC,GAAE,uBAAsB,SAAS,GAAE;AAAA,MAAC,GAAE,eAAc,WAAU;AAAC,WAAG,iBAAiB,QAAQ,OAAG,EAAE,CAAC;AAAA,MAAC,GAAE,wBAAuB,SAAS,GAAE,GAAE;AAAC,UAAE,YAAU,QAAI;AAAC,cAAI,KAAG,GAAG,MAAK,KAAG,GAAG;AAAI,cAAG,EAAE,gBAAc,GAAG,sCAAoC,EAAE,cAAa,GAAG,gBAAc,GAAG,gBAAc,GAAG,GAAE;AAAC,gBAAI,KAAG,GAAG,SAAS,GAAG,YAAY;AAAE,iBAAG,GAAG,YAAY,IAAG,GAAG,YAAY,IAAE,EAAE,4CAA0C,KAAG,yBAAuB,GAAG,eAAa,qCAAqC,GAAE,GAAG,sCAAoC;AAAO;AAAA,UAAM;AAAC,iBAAK,yBAAuB,GAAG,GAAG,KAAK,IAAE,OAAK,gBAAc,GAAG,EAAE,IAAE,OAAK,kBAAgB,GAAG,GAAG,MAAM,IAAE,OAAK,eAAa,GAAG,GAAG,MAAM,IAAE,OAAK,iBAAe,GAAG,GAAG,MAAM,IAAE,OAAK,YAAU,EAAE,SAAO,MAAG,KAAG,EAAE,MAAM,GAAE,KAAG,EAAE,CAAC,GAAE,EAAE,cAAY,EAAE,WAAW,KAAG,OAAK,UAAQ,EAAE,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,OAAK,aAAW,EAAE,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,OAAK,UAAQ,MAAM,YAAU,GAAG,WAAS,OAAK,GAAG,IAAI,IAAE,GAAG,WAAS,iBAAe,EAAE,YAAY,EAAE,IAAE,OAAK,gBAAc,EAAE,GAAG,OAAO,EAAE,GAAG,GAAG,IAAI,IAAE,MAAI,EAAE,oCAAkC,EAAE,GAAE,GAAG,sCAAoC;AAAA,QAAM,GAAE,EAAE,UAAQ,QAAI;AAAC,cAAI,KAAG;AAAwB,gBAAM,EAAE,KAAG,MAAI,GAAG,WAAS,MAAI,GAAG,SAAO,OAAK,GAAG,OAAO,GAAE;AAAA,QAAE,GAAE,MAAI,EAAE,GAAG,WAAU,SAAS,IAAG;AAAC,YAAE,UAAU,EAAC,MAAK,GAAE,CAAC;AAAA,QAAC,CAAC,GAAE,EAAE,GAAG,SAAQ,SAAS,IAAG;AAAC,YAAE,QAAQ,EAAE;AAAA,QAAC,CAAC,GAAE,EAAE,GAAG,gBAAe,WAAU;AAAA,QAAC,CAAC;AAAG,YAAI,KAAG,CAAC,GAAE,KAAG,CAAC,UAAS,WAAU,SAAQ,UAAU;AAAE,iBAAQ,MAAM;AAAG,YAAE,eAAe,EAAE,KAAG,GAAG,KAAK,EAAE;AAAE,UAAE,YAAY,EAAC,KAAI,QAAO,UAAS,IAAG,WAAU,EAAE,uBAAqB,GAAE,YAAW,IAAG,YAAW,GAAE,CAAC;AAAA,MAAC,GAAE,sBAAqB,WAAU;AAAC,YAAI,GAAE,IAAE,EAAE,2CAA2C;AAAE,YAAE,IAAI,OAAO,CAAC,GAAE,GAAG,cAAc,KAAK,CAAC;AAAA,MAAC,GAAE,cAAa,WAAU;AAAC,eAAO,GAAG,cAAc,UAAQ,MAAI,GAAG,qBAAqB,GAAE,GAAG,uBAAuB,GAAG,cAAc,CAAC,CAAC,IAAG,GAAG,cAAc,IAAI;AAAA,MAAC,EAAC;AAAE,QAAE,UAAQ;AAAG,eAAS,GAAG,GAAE;AAAC,eAAK,EAAE,SAAO;AAAG,YAAE,MAAM,EAAE,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAE,OAAK,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,OAAK,CAAC,GAAE,KAAG,IAAE;AAAG,WAAG,GAAE,EAAE,GAAE,GAAG,CAAC;AAAA,MAAC;AAAC,QAAE,sBAAoB;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,CAAC;AAAE,YAAG;AAAC,aAAG,CAAC;AAAA,QAAC,SAAO,GAAN;AAAS,aAAG,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,UAAI,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,eAAO,MAAI,KAAG,GAAG,WAAS,GAAG,SAAO,IAAE,IAAG,GAAG,CAAC,IAAE,IAAE,GAAG,IAAI,CAAC,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,GAAG,CAAC,EAAE,CAAC;AAAE,WAAG,IAAE,GAAG,cAAc,EAAE,IAAE,GAAG,EAAE;AAAA,MAAC;AAAC,QAAE,mBAAiB;AAAG,eAAS,GAAG,GAAE;AAAC,WAAG,iBAAiB,KAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAG,cAAc;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAE,YAAY,EAAC,KAAI,iBAAgB,QAAO,EAAC,CAAC,IAAE,GAAG,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,EAAE,IAAE,GAAG,GAAE,GAAE,IAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,OAAO,qBAAmB;AAAY,iBAAO,EAAE,qFAAqF,GAAE;AAAE,YAAI,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG,MAAI,GAAG,WAAS,KAAG;AAAI,iBAAO,GAAG,GAAE,GAAE,IAAG,EAAE;AAAE,YAAG;AAAG,iBAAO;AAAG,YAAI,KAAG,EAAC,cAAa,IAAG,aAAY,GAAE,KAAI,IAAG,cAAa,GAAE;AAAE,eAAO,KAAG,GAAG,MAAI,eAAc,YAAY,IAAG,EAAE,GAAE,KAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAK;AAAC,UAAI,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE;AAAC,gBAAQ,MAAM,EAAE,GAAE,KAAG,GAAE,CAAC,GAAE,GAAG,KAAG,GAAG,CAAC,GAAE,QAAQ,gBAAgB,EAAE,GAAE,KAAG,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC,QAAE,+BAA6B;AAAG,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG,KAAG;AAAE,qBAAW,MAAI,GAAG,EAAE,CAAC;AAAA,iBAAU;AAAE,sBAAY,EAAC,cAAa,GAAE,KAAI,wBAAuB,OAAM,GAAE,CAAC;AAAA,aAAM;AAAC,cAAI,KAAG,GAAG,SAAS,CAAC;AAAE,cAAG,CAAC;AAAG;AAAO,aAAG,YAAY,EAAC,KAAI,wBAAuB,OAAM,GAAE,CAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,eAAM;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,UAAQ,GAAG,QAAM,CAAC,IAAG,GAAG,MAAM,CAAC,MAAI,GAAG,MAAM,CAAC,IAAE,GAAE,MAAI,IAAE,cAAY,IAAG,EAAE,CAAC;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,aAAG,KAAG,GAAG,0IAA0I;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO,KAAK,IAAI;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAU;AAAC,eAAS,KAAI;AAAC,eAAO,GAAG;AAAA,MAAC;AAAC,UAAI;AAAG,UAAE,KAAG,MAAI;AAAC,YAAI,IAAE,QAAQ,OAAO;AAAE,eAAO,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAA,MAAG,IAAE,KAAG,MAAI,YAAY,aAAW,YAAY,IAAI;AAAE,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,UAAE,EAAE,WAAW,MAAI,GAAE,MAAI,GAAE,IAAE,OAAK,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO,IAAE,GAAG,EAAE,KAAK,EAAE,SAAO,UAAU;AAAA,MAAmB;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,KAAG,EAAE;AAAE,eAAO,GAAG,CAAC,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,UAAU,SAAO,GAAE,KAAG;AAAU,eAAO,GAAG,MAAI;AAAC,mBAAQ,KAAG,IAAG,KAAG,GAAG,KAAG,CAAC,GAAE,KAAG,MAAI,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,gBAAI,KAAG,GAAG,IAAE,EAAE;AAAE,cAAE,EAAE,KAAG,OAAK,CAAC,IAAE;AAAA,UAAE;AAAC,iBAAO,GAAG,GAAE,IAAG,IAAG,CAAC;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,CAAC;AAAE,eAAS,GAAG,GAAE,GAAE,IAAG;AAAC,WAAG,SAAO;AAAE,iBAAQ,KAAG,MAAI,GAAE,KAAG,GAAE,KAAG,GAAE;AAAK,aAAG,EAAE,IAAE,EAAE,EAAE,KAAG,OAAK,CAAC;AAAE,YAAI,KAAG,IAAE,GAAE,KAAG,KAAG,GAAG,CAAC,IAAE,CAAC,IAAE,GAAG,CAAC;AAAE,eAAO,GAAG,MAAM,MAAK,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,iBAAO,GAAG,KAAK,IAAE,GAAG,aAAW,UAAQ,EAAE,GAAE,GAAG,GAAG,MAAM,GAAE;AAAA,QAAC,SAAO,GAAN;AAAA,QAAS;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE;AAAO,YAAG,IAAE,MAAI,GAAE,KAAG;AAAE,iBAAM;AAAG,YAAI,KAAG,GAAG;AAAE,YAAG,IAAE;AAAG,iBAAM;AAAG,YAAI,KAAG,CAAC,IAAG,OAAK,MAAI,KAAG,KAAG,MAAI;AAAG,iBAAQ,KAAG,GAAE,MAAI,GAAE,MAAI,GAAE;AAAC,cAAI,KAAG,KAAG,IAAE,MAAG;AAAI,eAAG,KAAK,IAAI,IAAG,IAAE,SAAS;AAAE,cAAI,KAAG,KAAK,IAAI,IAAG,GAAG,KAAK,IAAI,GAAE,EAAE,GAAE,KAAK,CAAC,GAAE,KAAG,GAAG,EAAE;AAAE,cAAG;AAAG,mBAAM;AAAA,QAAE;AAAC,eAAM;AAAA,MAAE;AAAC,eAAS,KAAI;AAAC,cAAK;AAAA,MAAQ;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,CAAC,IAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG,IAAG;AAAC,eAAO,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,EAAE,IAAE;AAAA,MAAE;AAAC,UAAI,KAAG,CAAC,MAAK,CAAC,GAAE,CAAC,CAAC;AAAE,eAAS,GAAG,GAAE,GAAE;AAAC,YAAI,KAAG,GAAG,CAAC;AAAE,cAAI,KAAG,MAAI,OAAK,MAAI,IAAE,IAAE,GAAG,GAAG,IAAG,CAAC,CAAC,GAAE,GAAG,SAAO,KAAG,GAAG,KAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,YAAG;AAAE,iBAAO,GAAG,GAAE,GAAE,GAAE,GAAE,IAAG,EAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,cAAI,KAAG,EAAE,EAAE,MAAI,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,MAAI,CAAC;AAAE,eAAG;AAAE,mBAAQ,KAAG,GAAE,KAAG,IAAG;AAAK,eAAG,GAAE,EAAE,EAAE,KAAG,OAAK,CAAC,CAAC;AAAE,gBAAI;AAAA,QAAE;AAAC,eAAO,EAAE,EAAE,OAAK,CAAC,IAAE,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,IAAE,EAAE,MAAI,CAAC;AAAE,eAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE;AAAC,QAAAA,IAAE,EAAE,IAAI,GAAE,MAAI,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG,IAAG;AAAC,YAAI,KAAG,EAAC,QAAO,QAAI;AAAC,cAAI,KAAG;AAAE,cAAG,MAAI,QAAM,OAAK,GAAE;AAAC,gBAAI,MAAI,GAAG,UAAQ,KAAG;AAAE,iBAAG,GAAG,EAAE,GAAE,GAAG,IAAG,IAAG,EAAE;AAAA,UAAC;AAAC,iBAAO;AAAA,QAAE,GAAE,OAAM,QAAI;AAAC,cAAI,KAAG,GAAG,GAAG,MAAM;AAAE,iBAAO,GAAG,IAAG,EAAE,GAAE;AAAA,QAAE,EAAC;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,MAAI,WAAS,GAAG,EAAE,IAAE,MAAI,YAAU,CAAC,CAAC,KAAG;AAAA,QAAE;AAAC,YAAI,KAAG,GAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG;AAAG,mBAAQ,KAAG,GAAE,KAAG,GAAG,QAAO,MAAK;AAAC,gBAAI,KAAG,GAAG,GAAG,EAAE,CAAC;AAAE,kBAAI,OAAK,MAAI,KAAG,GAAG,IAAG,GAAG,EAAE,IAAE,GAAG,GAAG,EAAE,CAAC,KAAG,GAAG,EAAE,IAAE,GAAG,EAAE;AAAA,UAAC;AAAC,YAAI,KAAG,GAAG,MAAM,MAAK,EAAE;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,KAAG,GAAG,EAAE,GAAE,GAAG,EAAE;AAAA,QAAC;AAAC,eAAO,KAAG,GAAG,EAAE,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,GAAE,IAAG,IAAG;AAAC,aAAG,MAAI,CAAC;AAAE,YAAI,KAAG,GAAG,MAAM,QAAI,OAAK,YAAU,OAAK,SAAS,GAAE,KAAG,MAAI;AAAS,eAAO,MAAI,MAAI,CAAC,KAAG,GAAG,CAAC,IAAE,WAAU;AAAC,iBAAO,GAAG,GAAE,GAAE,IAAG,WAAU,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,SAAG,KAAK;AAAE,UAAI,KAAG,CAAC,MAAK,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE,GAAE,KAAG,EAAC,kCAAiC,IAAG,6BAA4B,IAAG,qBAAoB,IAAG,wCAAuC,IAAG,kCAAiC,IAAG,+BAA8B,IAAG,sCAAqC,IAAG,OAAM,IAAG,mCAAkC,IAAG,qBAAoB,IAAG,yBAAwB,IAAG,oBAAmB,IAAG,uBAAsB,IAAG,8BAA6B,IAAG,sCAAqC,IAAG,wBAAuB,IAAG,oCAAmC,IAAG,MAAK,IAAG,UAAS,IAAG,SAAQ,IAAG,UAAS,IAAG,QAAO,MAAI,EAAE,WAAU,GAAE,KAAG,GAAG,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAG,EAAE,mBAAiB,EAAE,IAAI,iBAAiB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAG,EAAE,0BAAwB,EAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAG,EAAE,yBAAuB,EAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAG,EAAE,yBAAuB,EAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,4BAA0B,WAAU;AAAC,gBAAO,KAAG,EAAE,4BAA0B,EAAE,IAAI,0BAA0B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAG,EAAE,kBAAgB,EAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAG,EAAE,wBAAsB,EAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,cAAY,WAAU;AAAC,gBAAO,KAAG,EAAE,cAAY,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,IAAE,EAAE,QAAM,WAAU;AAAC,gBAAO,IAAE,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAG,EAAE,kBAAgB,EAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,sBAAoB,WAAU;AAAC,gBAAO,KAAG,EAAE,sBAAoB,EAAE,IAAI,oBAAoB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAG,EAAE,yBAAuB,EAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,6BAA2B,WAAU;AAAC,gBAAO,KAAG,EAAE,6BAA2B,EAAE,IAAI,2BAA2B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAG,EAAE,oBAAkB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,SAAO,WAAU;AAAC,gBAAO,KAAG,EAAE,SAAO,EAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,WAAS,WAAU;AAAC,gBAAO,KAAG,EAAE,WAAS,EAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAG,EAAE,0BAAwB,EAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,iBAAe,WAAU;AAAC,gBAAO,KAAG,EAAE,iBAAe,EAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAG,EAAE,qBAAmB,EAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,OAAK,WAAU;AAAC,gBAAO,KAAG,EAAE,OAAK,EAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAG,EAAE,uBAAqB,EAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,UAAQ,WAAU;AAAC,gBAAO,KAAG,EAAE,UAAQ,EAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,QAAM,WAAU;AAAC,gBAAO,KAAG,EAAE,QAAM,EAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAG,EAAE,wBAAsB,EAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gBAAc,WAAU;AAAC,gBAAO,KAAG,EAAE,gBAAc,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAG,EAAE,oBAAkB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,8BAA4B,WAAU;AAAC,gBAAO,KAAG,EAAE,8BAA4B,EAAE,IAAI,4BAA4B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,+CAA6C,WAAU;AAAC,gBAAO,KAAG,EAAE,+CAA6C,EAAE,IAAI,6CAA6C,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,qCAAmC,WAAU;AAAC,gBAAO,KAAG,EAAE,qCAAmC,EAAE,IAAI,mCAAmC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,4CAA0C,WAAU;AAAC,gBAAO,KAAG,EAAE,4CAA0C,EAAE,IAAI,0CAA0C,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,kCAAgC,WAAU;AAAC,gBAAO,KAAG,EAAE,kCAAgC,EAAE,IAAI,gCAAgC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,wCAAsC,WAAU;AAAC,gBAAO,KAAG,EAAE,wCAAsC,EAAE,IAAI,sCAAsC,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,gCAA8B,WAAU;AAAC,gBAAO,KAAG,EAAE,gCAA8B,EAAE,IAAI,8BAA8B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAG,EAAE,2BAAyB,EAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,+BAA6B,WAAU;AAAC,gBAAO,KAAG,EAAE,+BAA6B,EAAE,IAAI,6BAA6B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,YAAU,WAAU;AAAC,gBAAO,KAAG,EAAE,YAAU,EAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,aAAW,WAAU;AAAC,gBAAO,KAAG,EAAE,aAAW,EAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAG,EAAE,mBAAiB,EAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAG,EAAE,eAAa,WAAU;AAAC,gBAAO,KAAG,EAAE,eAAa,EAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC;AAAE,QAAE,mBAAiB,IAAG,EAAE,aAAW,IAAG,EAAE,QAAM,IAAG,EAAE,aAAW,IAAG,EAAE,UAAQ;AAAG,UAAI;AAAG,WAAG,SAAS,IAAG;AAAC,cAAI,GAAG,GAAE,OAAK,KAAG;AAAA,MAAE;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG,IAAE,KAAG,GAAE,KAAG;AAAE;AAAO,YAAG,GAAE;AAAC,YAAE,CAAC,GAAE,GAAG,GAAE,YAAY,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,GAAG,GAAE,KAAG;AAAE;AAAO,iBAAS,IAAG;AAAC,iBAAK,KAAG,MAAG,EAAE,YAAU,MAAG,CAAC,OAAK,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,wBAAsB,EAAE,qBAAqB,GAAE,GAAG;AAAA,QAAG;AAAC,UAAE,aAAW,EAAE,UAAU,YAAY,GAAE,WAAW,WAAU;AAAC,qBAAW,WAAU;AAAC,cAAE,UAAU,EAAE;AAAA,UAAC,GAAE,CAAC,GAAE,EAAE;AAAA,QAAC,GAAE,CAAC,KAAG,EAAE;AAAA,MAAC;AAAC,UAAG,EAAE;AAAQ,aAAI,OAAO,EAAE,WAAS,eAAa,EAAE,UAAQ,CAAC,EAAE,OAAO,IAAG,EAAE,QAAQ,SAAO;AAAG,YAAE,QAAQ,IAAI,EAAE;AAAE,SAAG;AAAE,UAAI;AAAG,YAAI,KAAG,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,kBAAkB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,mBAAmB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,EAAC;AAAG,UAAI;AAAG,UAAG,OAAO,qBAAmB;AAAY,aAAG;AAAA,eAA0B,OAAO,KAAG;AAAY,aAAG;AAAA;AAAO,cAAM,IAAI,MAAM,uCAAuC;AAAE,UAAG,IAAG;AAAC,YAAI,KAAG,GAAG;AAAS,WAAG,WAAS,WAAU;AAAC,aAAG,GAAE,GAAG,kBAAkB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,qBAAoB,CAAC;AAAA,UAAC,CAAC,GAAE,GAAG,mBAAmB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,sBAAqB,CAAC;AAAA,UAAC,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,aAAO,EAAE;AAAA,IAAK;AAAA,EAAC,GAAG;AAAE,SAAO,MAAI,YAAU,OAAO,MAAI,WAAS,GAAG,UAAQ,KAAG,OAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,CAAC,GAAE,WAAU;AAAC,WAAO;AAAA,EAAE,CAAC,IAAE,OAAO,MAAI,aAAW,GAAG,gCAA8B;AAAG,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,KAAI,OAAK;AAAC,KAAG,QAAQ,qBAAmB;AAAA;AAC771B,CAAC;AAAE,IAAI,KAAG,GAAG,CAAC,IAAG,OAAK;AAAC,MAAI,MAAI,MAAI;AAAC,QAAI,IAAE,OAAO,YAAU,eAAa,SAAS,gBAAc,SAAS,cAAc,MAAI;AAAO,WAAO,OAAO,cAAY,gBAAc,IAAE,KAAG,aAAY,SAAS,GAAE;AAAC,UAAE,KAAG,CAAC;AAAE,UAAIA,MAAE,OAAO,KAAG,cAAY,IAAE,CAAC,GAAE,GAAE;AAAE,MAAAA,IAAE,QAAM,IAAI,QAAQ,SAAS,GAAE,IAAG;AAAC,YAAE,GAAE,IAAE;AAAA,MAAE,CAAC;AAAE,UAAI;AAAE,aAAO,WAAS,eAAa,QAAQ,cAAY,IAAE,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAC;AAAG,UAAI,IAAE,OAAO,OAAO,CAAC,GAAEA,GAAC,GAAE,IAAE,CAAC,GAAE,IAAE,kBAAiB,IAAE,CAAC,GAAE,OAAK;AAAC,cAAM;AAAA,MAAE,GAAE,IAAE,OAAO,UAAQ,UAAS,IAAE,OAAO,iBAAe,YAAW,IAAE,OAAO,WAAS,YAAU,OAAO,QAAQ,YAAU,YAAU,OAAO,QAAQ,SAAS,QAAM,UAAS,IAAE;AAAG,eAAS,EAAE,GAAE;AAAC,eAAOA,IAAE,aAAWA,IAAE,WAAW,GAAE,CAAC,IAAE,IAAE;AAAA,MAAC;AAAC,UAAI,GAAE,GAAE,GAAE;AAAE,eAAS,EAAE,GAAE;AAAC,YAAG,aAAa;AAAG;AAAO,UAAE,+BAA6B,CAAC;AAAA,MAAC;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,IAAE,GAAG;AAAE,YAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,MAAI,IAAE,YAAU,KAAI,IAAE,CAAC,GAAE,QAAM,IAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,aAAa,GAAE,KAAG,SAAO,MAAM,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,EAAE,GAAE,IAAE;AAAE,iBAAO,GAAG,WAAS,KAAG,IAAI,WAAW,EAAE,IAAG;AAAA,QAAE,GAAE,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAE,GAAG,CAAC,IAAE,IAAI,IAAI,CAAC,IAAE,EAAE,UAAU,CAAC,GAAE,EAAE,SAAS,GAAE,SAAS,IAAG,IAAG;AAAC,iBAAG,GAAG,EAAE,IAAE,GAAG,GAAG,MAAM;AAAA,UAAC,CAAC;AAAA,QAAC,GAAE,QAAQ,KAAK,SAAO,MAAI,IAAE,QAAQ,KAAK,CAAC,EAAE,QAAQ,OAAM,GAAG,IAAG,IAAE,QAAQ,KAAK,MAAM,CAAC,GAAE,QAAQ,GAAG,qBAAoB,SAAS,GAAE;AAAC,cAAG,EAAE,aAAa;AAAI,kBAAM;AAAA,QAAC,CAAC,GAAE,QAAQ,GAAG,sBAAqB,SAAS,GAAE;AAAC,gBAAM;AAAA,QAAC,CAAC,GAAE,IAAE,CAAC,GAAE,OAAK;AAAC,cAAG,GAAG;AAAE,kBAAM,QAAQ,WAAS,GAAE;AAAG,YAAE,EAAE,GAAE,QAAQ,KAAK,CAAC;AAAA,QAAC,GAAEA,IAAE,UAAQ,WAAU;AAAC,iBAAM;AAAA,QAA4B;AAAA,MAAC;AAAK,SAAC,KAAG,OAAK,IAAE,IAAE,KAAK,SAAS,OAAK,OAAO,YAAU,eAAa,SAAS,kBAAgB,IAAE,SAAS,cAAc,MAAK,MAAI,IAAE,IAAG,EAAE,QAAQ,OAAO,MAAI,IAAE,IAAE,EAAE,OAAO,GAAE,EAAE,QAAQ,UAAS,EAAE,EAAE,YAAY,GAAG,IAAE,CAAC,IAAE,IAAE,IAAG,IAAE,OAAG;AAAC,cAAI,KAAG,IAAI;AAAe,iBAAO,GAAG,KAAK,OAAM,GAAE,KAAE,GAAE,GAAG,KAAK,IAAI,GAAE,GAAG;AAAA,QAAY,GAAE,MAAI,IAAE,OAAG;AAAC,cAAI,KAAG,IAAI;AAAe,iBAAO,GAAG,KAAK,OAAM,GAAE,KAAE,GAAE,GAAG,eAAa,eAAc,GAAG,KAAK,IAAI,GAAE,IAAI,WAAW,GAAG,QAAQ;AAAA,QAAC,IAAG,IAAE,CAAC,GAAE,IAAG,OAAK;AAAC,cAAI,KAAG,IAAI;AAAe,aAAG,KAAK,OAAM,GAAE,IAAE,GAAE,GAAG,eAAa,eAAc,GAAG,SAAO,MAAI;AAAC,gBAAG,GAAG,UAAQ,OAAK,GAAG,UAAQ,KAAG,GAAG,UAAS;AAAC,iBAAG,GAAG,QAAQ;AAAE;AAAA,YAAM;AAAC,eAAG;AAAA,UAAC,GAAE,GAAG,UAAQ,IAAG,GAAG,KAAK,IAAI;AAAA,QAAC,GAAE,IAAE,OAAG,SAAS,QAAM;AAAG,UAAI,IAAEA,IAAE,SAAO,QAAQ,IAAI,KAAK,OAAO,GAAE,IAAEA,IAAE,YAAU,QAAQ,KAAK,KAAK,OAAO;AAAE,aAAO,OAAOA,KAAE,CAAC,GAAE,IAAE,MAAKA,IAAE,cAAY,IAAEA,IAAE,YAAWA,IAAE,gBAAc,IAAEA,IAAE,cAAaA,IAAE,SAAO,IAAEA,IAAE;AAAM,UAAI,IAAE,GAAE;AAAE,MAAAA,IAAE,eAAa,IAAEA,IAAE;AAAY,UAAI,IAAEA,IAAE,iBAAe;AAAG,aAAO,eAAa,YAAU,GAAG,iCAAiC;AAAE,UAAI,GAAE,IAAE,OAAG;AAAE,eAAS,EAAE,GAAE,IAAG;AAAC,aAAG,GAAG,EAAE;AAAA,MAAC;AAAC,UAAI,IAAE,OAAO,eAAa,cAAY,IAAI,YAAY,MAAM,IAAE;AAAO,eAAS,EAAE,GAAE,IAAG,IAAG;AAAC,gBAAM;AAAE,iBAAQ,KAAG,KAAG,IAAG,KAAG,IAAG,EAAE,EAAE,KAAG,EAAE,MAAI;AAAK,YAAE;AAAG,YAAG,KAAG,KAAG,MAAI,EAAE,UAAQ;AAAE,iBAAO,EAAE,OAAO,EAAE,SAAS,IAAG,EAAE,CAAC;AAAE,iBAAQ,KAAG,IAAG,KAAG,MAAI;AAAC,cAAI,KAAG,EAAE,IAAI;AAAE,cAAG,EAAE,KAAG,MAAK;AAAC,kBAAI,OAAO,aAAa,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,IAAI,IAAE;AAAG,eAAI,KAAG,QAAM,KAAI;AAAC,kBAAI,OAAO,cAAc,KAAG,OAAK,IAAE,EAAE;AAAE;AAAA,UAAQ;AAAC,cAAI,KAAG,EAAE,IAAI,IAAE;AAAG,eAAI,KAAG,QAAM,MAAI,MAAI,KAAG,OAAK,KAAG,MAAI,IAAE,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,EAAE,IAAI,IAAE,IAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,EAAE;AAAA,eAAM;AAAC,gBAAI,KAAG,KAAG;AAAM,kBAAI,OAAO,aAAa,QAAM,MAAI,IAAG,QAAM,KAAG,IAAI;AAAA,UAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG;AAAC,eAAO,OAAK,GAAE,IAAE,EAAE,IAAG,GAAE,EAAE,IAAE;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG,IAAG,IAAG;AAAC,YAAG,QAAM,GAAE,EAAE,KAAG;AAAG,iBAAO;AAAE,iBAAQ,KAAG,IAAG,KAAG,KAAG,KAAG,GAAE,KAAG,GAAE,KAAG,EAAE,QAAO,EAAE,IAAG;AAAC,cAAI,KAAG,EAAE,WAAW,EAAE;AAAE,cAAG,MAAI,SAAO,MAAI,OAAM;AAAC,gBAAI,KAAG,EAAE,WAAW,EAAE,EAAE;AAAE,iBAAG,UAAQ,KAAG,SAAO,MAAI,KAAG;AAAA,UAAI;AAAC,cAAG,MAAI,KAAI;AAAC,gBAAG,MAAI;AAAG;AAAM,eAAG,SAAO,CAAC,IAAE;AAAA,UAAE,WAAS,MAAI,MAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,SAAO,CAAC,IAAE,MAAI,MAAI,GAAE,GAAG,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE,WAAS,MAAI,OAAM;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,SAAO,CAAC,IAAE,MAAI,MAAI,IAAG,GAAG,SAAO,CAAC,IAAE,MAAI,MAAI,IAAE,IAAG,GAAG,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE,OAAK;AAAC,gBAAG,KAAG,KAAG;AAAG;AAAM,eAAG,SAAO,CAAC,IAAE,MAAI,MAAI,IAAG,GAAG,SAAO,CAAC,IAAE,MAAI,MAAI,KAAG,IAAG,GAAG,SAAO,CAAC,IAAE,MAAI,MAAI,IAAE,IAAG,GAAG,SAAO,CAAC,IAAE,MAAI,KAAG;AAAA,UAAE;AAAA,QAAC;AAAC,eAAO,GAAG,OAAK,CAAC,IAAE,GAAE,KAAG;AAAA,MAAE;AAAC,eAAS,EAAE,GAAE,IAAG,IAAG;AAAC,eAAO,EAAE,GAAE,IAAG,IAAG,EAAE;AAAA,MAAC;AAAC,UAAI,GAAE,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG;AAAG,eAAS,GAAG,GAAE;AAAC,YAAE,GAAEA,IAAE,QAAM,KAAG,IAAI,UAAU,CAAC,GAAEA,IAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAEA,IAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAEA,IAAE,SAAO,KAAG,IAAI,WAAW,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,YAAY,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,aAAa,CAAC,GAAEA,IAAE,UAAQ,KAAG,IAAI,aAAa,CAAC;AAAA,MAAC;AAAC,UAAI,KAAGA,IAAE,kBAAgB,UAAS,IAAG,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAG,eAAS,KAAI;AAAC,eAAO;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAGA,IAAE;AAAO,eAAI,OAAOA,IAAE,UAAQ,eAAaA,IAAE,SAAO,CAACA,IAAE,MAAM,IAAGA,IAAE,OAAO;AAAQ,eAAGA,IAAE,OAAO,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,aAAG,MAAG,GAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAGA,IAAE;AAAQ,eAAI,OAAOA,IAAE,WAAS,eAAaA,IAAE,UAAQ,CAACA,IAAE,OAAO,IAAGA,IAAE,QAAQ;AAAQ,eAAGA,IAAE,QAAQ,MAAM,CAAC;AAAE,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,WAAG,QAAQ,CAAC;AAAA,MAAC;AAAC,UAAI,KAAG,GAAE,KAAG,MAAK,KAAG;AAAK,eAAS,GAAG,GAAE;AAAC,cAAKA,IAAE,0BAAwBA,IAAE,uBAAuB,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG,MAAKA,IAAE,0BAAwBA,IAAE,uBAAuB,EAAE,GAAE,MAAI,MAAI,OAAK,SAAO,cAAc,EAAE,GAAE,KAAG,OAAM,KAAI;AAAC,cAAI,KAAG;AAAG,eAAG,MAAK,GAAG;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,QAAAA,IAAE,WAASA,IAAE,QAAQ,CAAC,GAAE,IAAE,aAAW,IAAE,KAAI,EAAE,CAAC,GAAE,IAAE,MAAG,IAAE,GAAE,KAAG;AAA2C,YAAI,KAAG,IAAI,YAAY,aAAa,CAAC;AAAE,cAAM,EAAE,EAAE,GAAE;AAAA,MAAE;AAAC,UAAI,KAAG;AAAwC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAO,EAAE,WAAW,SAAS;AAAA,MAAC;AAAC,UAAI;AAAG,WAAG,0BAAyB,GAAG,EAAE,MAAI,KAAG,EAAE,EAAE;AAAG,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,cAAG,KAAG,MAAI;AAAE,mBAAO,IAAI,WAAW,CAAC;AAAE,cAAG;AAAE,mBAAO,EAAE,CAAC;AAAE,gBAAK;AAAA,QAAiD,SAAO,IAAN;AAAU,aAAG,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAG,CAAC,MAAI,KAAG,IAAG;AAAC,cAAG,OAAO,SAAO,cAAY,CAAC,GAAG,EAAE;AAAE,mBAAO,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,GAAE;AAAC,kBAAG,CAAC,EAAE;AAAG,sBAAK,yCAAuC,KAAG;AAAI,qBAAO,EAAE,YAAY;AAAA,YAAC,CAAC,EAAE,MAAM,WAAU;AAAC,qBAAO,GAAG,EAAE;AAAA,YAAC,CAAC;AAAE,cAAG;AAAE,mBAAO,IAAI,QAAQ,SAAS,GAAE,IAAG;AAAC,gBAAE,IAAG,SAAS,IAAG;AAAC,kBAAE,IAAI,WAAW,EAAE,CAAC;AAAA,cAAC,GAAE,EAAE;AAAA,YAAC,CAAC;AAAA,QAAC;AAAC,eAAO,QAAQ,QAAQ,EAAE,KAAK,WAAU;AAAC,iBAAO,GAAG,EAAE;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,YAAI,IAAE,EAAC,KAAI,IAAG,wBAAuB,GAAE;AAAE,iBAAS,GAAG,IAAG,IAAG;AAAC,cAAI,KAAG,GAAG;AAAQ,UAAAA,IAAE,MAAI,IAAG,IAAEA,IAAE,IAAI,QAAO,GAAG,EAAE,MAAM,GAAE,KAAGA,IAAE,IAAI,2BAA0B,GAAGA,IAAE,IAAI,iBAAiB,GAAE,GAAG,kBAAkB;AAAA,QAAC;AAAC,WAAG,kBAAkB;AAAE,iBAAS,GAAG,IAAG;AAAC,aAAG,GAAG,QAAQ;AAAA,QAAC;AAAC,iBAAS,GAAG,IAAG;AAAC,iBAAO,GAAG,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO,YAAY,YAAY,IAAG,CAAC;AAAA,UAAC,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,mBAAO;AAAA,UAAE,CAAC,EAAE,KAAK,IAAG,SAAS,IAAG;AAAC,cAAE,4CAA0C,EAAE,GAAE,GAAG,EAAE;AAAA,UAAC,CAAC;AAAA,QAAC;AAAC,iBAAS,KAAI;AAAC,iBAAM,CAAC,KAAG,OAAO,YAAY,wBAAsB,cAAY,CAAC,GAAG,EAAE,KAAG,CAAC,GAAG,EAAE,KAAG,CAAC,KAAG,OAAO,SAAO,aAAW,MAAM,IAAG,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,SAAS,IAAG;AAAC,gBAAI,KAAG,YAAY,qBAAqB,IAAG,CAAC;AAAE,mBAAO,GAAG,KAAK,IAAG,SAAS,IAAG;AAAC,qBAAO,EAAE,oCAAkC,EAAE,GAAE,EAAE,2CAA2C,GAAE,GAAG,EAAE;AAAA,YAAC,CAAC;AAAA,UAAC,CAAC,IAAE,GAAG,EAAE;AAAA,QAAC;AAAC,YAAGA,IAAE;AAAgB,cAAG;AAAC,gBAAI,KAAGA,IAAE,gBAAgB,GAAE,EAAE;AAAE,mBAAO;AAAA,UAAE,SAAO,IAAN;AAAU,cAAE,wDAAsD,EAAE,GAAE,EAAE,EAAE;AAAA,UAAC;AAAC,eAAO,GAAG,EAAE,MAAM,CAAC,GAAE,CAAC;AAAA,MAAC;AAAC,UAAI,IAAG;AAAG,eAAS,GAAG,GAAE;AAAC,aAAK,OAAK,cAAa,KAAK,UAAQ,kCAAgC,IAAE,KAAI,KAAK,SAAO;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,eAAK,EAAE,SAAO;AAAG,YAAE,MAAM,EAAEA,GAAC;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,WAAG,EAAE;AAAA,MAAC;AAAC,eAAS,KAAI;AAAC,eAAO;AAAA,MAAU;AAAC,eAAS,KAAI;AAAC,eAAO,GAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG;AAAC,WAAG,WAAW,MAAI,GAAE,OAAK,GAAE,KAAG,OAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAG;AAAC,iBAAO,EAAE,KAAK,IAAE,EAAE,aAAW,UAAQ,EAAE,GAAE,GAAG,EAAE,MAAM,GAAE;AAAA,QAAC,SAAO,IAAN;AAAA,QAAU;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,KAAG,GAAG;AAAO,YAAE,MAAI;AAAE,YAAI,KAAG,GAAG;AAAE,YAAG,IAAE;AAAG,iBAAM;AAAG,YAAI,KAAG,CAAC,IAAG,OAAK,MAAI,KAAG,KAAG,MAAI;AAAG,iBAAQ,KAAG,GAAE,MAAI,GAAE,MAAI,GAAE;AAAC,cAAI,KAAG,MAAI,IAAE,MAAG;AAAI,eAAG,KAAK,IAAI,IAAG,IAAE,SAAS;AAAE,cAAI,KAAG,KAAK,IAAI,IAAG,GAAG,KAAK,IAAI,GAAE,EAAE,GAAE,KAAK,CAAC,GAAE,KAAG,GAAG,EAAE;AAAE,cAAG;AAAG,mBAAM;AAAA,QAAE;AAAC,eAAM;AAAA,MAAE;AAAC,UAAI,KAAG,EAAC,SAAQ,QAAO,KAAI,WAAU;AAAC,WAAG,WAAS;AAAE,YAAI,IAAE,GAAG,GAAG,UAAQ,MAAI,CAAC;AAAE,eAAO;AAAA,MAAC,GAAE,QAAO,SAAS,GAAE;AAAC,YAAI,KAAG,EAAE,CAAC;AAAE,eAAO;AAAA,MAAE,EAAC;AAAE,eAAS,GAAG,GAAE;AAAC,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG,IAAG;AAAC,eAAO;AAAA,MAAE;AAAC,UAAI,KAAG,CAAC,MAAK,CAAC,GAAE,CAAC,CAAC;AAAE,eAAS,GAAG,GAAE,IAAG;AAAC,YAAI,KAAG,GAAG,CAAC;AAAE,eAAK,KAAG,OAAK,OAAK,MAAI,IAAE,IAAE,GAAG,EAAE,IAAG,CAAC,CAAC,GAAE,GAAG,SAAO,KAAG,GAAG,KAAK,EAAE;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG;AAAC,iBAAQ,KAAG,GAAE,KAAG,GAAE,KAAG,IAAG,MAAK;AAAC,cAAI,KAAG,GAAG,OAAK,CAAC,GAAE,KAAG,GAAG,KAAG,MAAI,CAAC;AAAE,gBAAI;AAAE,mBAAQ,KAAG,GAAE,KAAG,IAAG;AAAK,eAAG,GAAE,GAAG,KAAG,OAAK,CAAC,CAAC;AAAE,gBAAI;AAAA,QAAE;AAAC,eAAO,GAAG,OAAK,CAAC,IAAE,IAAG;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE;AAAC,YAAI,KAAGA,IAAE,MAAI,CAAC;AAAE,eAAO;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG;AAAC,WAAG,IAAI,GAAE,OAAK,CAAC;AAAA,MAAC;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG,IAAG;AAAC,YAAI,KAAG,EAAC,QAAO,QAAI;AAAC,cAAI,KAAG;AAAE,cAAG,MAAI,QAAM,OAAK,GAAE;AAAC,gBAAI,MAAI,GAAG,UAAQ,KAAG;AAAE,iBAAG,GAAG,EAAE,GAAE,EAAE,IAAG,IAAG,EAAE;AAAA,UAAC;AAAC,iBAAO;AAAA,QAAE,GAAE,OAAM,QAAI;AAAC,cAAI,KAAG,GAAG,GAAG,MAAM;AAAE,iBAAO,GAAG,IAAG,EAAE,GAAE;AAAA,QAAE,EAAC;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,WAAS,EAAE,EAAE,IAAE,OAAK,YAAU,CAAC,CAAC,KAAG;AAAA,QAAE;AAAC,YAAI,KAAG,GAAG,CAAC,GAAE,KAAG,CAAC,GAAE,KAAG;AAAE,YAAG;AAAG,mBAAQ,KAAG,GAAE,KAAG,GAAG,QAAO,MAAK;AAAC,gBAAI,KAAG,GAAG,GAAG,EAAE,CAAC;AAAE,kBAAI,OAAK,MAAI,KAAG,GAAG,IAAG,GAAG,EAAE,IAAE,GAAG,GAAG,EAAE,CAAC,KAAG,GAAG,EAAE,IAAE,GAAG,EAAE;AAAA,UAAC;AAAC,YAAI,KAAG,GAAG,MAAM,MAAK,EAAE;AAAE,iBAAS,GAAG,IAAG;AAAC,iBAAO,OAAK,KAAG,GAAG,EAAE,GAAE,GAAG,EAAE;AAAA,QAAC;AAAC,eAAO,KAAG,GAAG,EAAE,GAAE;AAAA,MAAE;AAAC,eAAS,GAAG,GAAE,IAAG,IAAG,IAAG;AAAC,aAAG,MAAI,CAAC;AAAE,YAAI,KAAG,GAAG,MAAM,QAAI,OAAK,YAAU,OAAK,SAAS,GAAE,KAAG,OAAK;AAAS,eAAO,MAAI,MAAI,CAAC,KAAG,GAAG,CAAC,IAAE,WAAU;AAAC,iBAAO,GAAG,GAAE,IAAG,IAAG,WAAU,EAAE;AAAA,QAAC;AAAA,MAAC;AAAC,UAAI,KAAG,EAAC,OAAM,IAAG,yBAAwB,IAAG,uBAAsB,IAAG,wBAAuB,IAAG,UAAS,IAAG,SAAQ,IAAG,UAAS,GAAE,GAAE,KAAG,GAAG,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAGA,IAAE,2BAAyBA,IAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAGA,IAAE,mBAAiBA,IAAE,IAAI,iBAAiB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAGA,IAAE,0BAAwBA,IAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAGA,IAAE,yBAAuBA,IAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAGA,IAAE,yBAAuBA,IAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,4BAA0B,WAAU;AAAC,gBAAO,KAAGA,IAAE,4BAA0BA,IAAE,IAAI,0BAA0B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,2BAAyB,WAAU;AAAC,gBAAO,KAAGA,IAAE,2BAAyBA,IAAE,IAAI,yBAAyB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAGA,IAAE,kBAAgBA,IAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,wBAAsB,WAAU;AAAC,gBAAO,KAAGA,IAAE,wBAAsBA,IAAE,IAAI,sBAAsB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,aAAa,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,cAAY,WAAU;AAAC,gBAAO,KAAGA,IAAE,cAAYA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,kBAAgB,WAAU;AAAC,gBAAO,KAAGA,IAAE,kBAAgBA,IAAE,IAAI,gBAAgB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,sBAAoB,WAAU;AAAC,gBAAO,KAAGA,IAAE,sBAAoBA,IAAE,IAAI,oBAAoB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,yBAAuB,WAAU;AAAC,gBAAO,KAAGA,IAAE,yBAAuBA,IAAE,IAAI,uBAAuB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,6BAA2B,WAAU;AAAC,gBAAO,KAAGA,IAAE,6BAA2BA,IAAE,IAAI,2BAA2B,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAGA,IAAE,oBAAkBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,SAAO,WAAU;AAAC,gBAAO,KAAGA,IAAE,SAAOA,IAAE,IAAI,OAAO,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,WAAS,WAAU;AAAC,gBAAO,KAAGA,IAAE,WAASA,IAAE,IAAI,SAAS,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,UAAU,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,0BAAwB,WAAU;AAAC,gBAAO,KAAGA,IAAE,0BAAwBA,IAAE,IAAI,wBAAwB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,iBAAe,WAAU;AAAC,gBAAO,KAAGA,IAAE,iBAAeA,IAAE,IAAI,eAAe,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,qBAAmB,WAAU;AAAC,gBAAO,KAAGA,IAAE,qBAAmBA,IAAE,IAAI,mBAAmB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,OAAK,WAAU;AAAC,gBAAO,KAAGA,IAAE,OAAKA,IAAE,IAAI,KAAK,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,uBAAqB,WAAU;AAAC,gBAAO,KAAGA,IAAE,uBAAqBA,IAAE,IAAI,qBAAqB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,gBAAc,WAAU;AAAC,gBAAO,KAAGA,IAAE,gBAAcA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,UAAQ,WAAU;AAAC,gBAAO,KAAGA,IAAE,UAAQA,IAAE,IAAI,QAAQ,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,QAAM,WAAU;AAAC,gBAAO,KAAGA,IAAE,QAAMA,IAAE,IAAI,MAAM,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,oBAAkB,WAAU;AAAC,gBAAO,KAAGA,IAAE,oBAAkBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,YAAU,WAAU;AAAC,gBAAO,KAAGA,IAAE,YAAUA,IAAE,IAAI,WAAW,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,aAAW,WAAU;AAAC,gBAAO,KAAGA,IAAE,aAAWA,IAAE,IAAI,YAAY,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,mBAAiB,WAAU;AAAC,gBAAO,KAAGA,IAAE,mBAAiBA,IAAE,IAAI,kBAAkB,MAAM,MAAK,SAAS;AAAA,MAAC,GAAE,KAAGA,IAAE,eAAa,WAAU;AAAC,gBAAO,KAAGA,IAAE,eAAaA,IAAE,IAAI,cAAc,MAAM,MAAK,SAAS;AAAA,MAAC;AAAE,MAAAA,IAAE,QAAM;AAAG,UAAI;AAAG,WAAG,SAAS,IAAG;AAAC,cAAI,GAAG,GAAE,OAAK,KAAG;AAAA,MAAE;AAAE,eAAS,GAAG,GAAE;AAAC,YAAG,IAAE,KAAG,GAAE,KAAG,MAAI,GAAG,GAAE,KAAG;AAAG;AAAO,iBAAS,KAAI;AAAC,iBAAK,KAAG,MAAGA,IAAE,YAAU,MAAG,CAAC,MAAI,GAAG,GAAE,EAAEA,GAAC,GAAEA,IAAE,wBAAsBA,IAAE,qBAAqB,GAAE,GAAG;AAAA,QAAG;AAAC,QAAAA,IAAE,aAAWA,IAAE,UAAU,YAAY,GAAE,WAAW,WAAU;AAAC,qBAAW,WAAU;AAAC,YAAAA,IAAE,UAAU,EAAE;AAAA,UAAC,GAAE,CAAC,GAAE,GAAG;AAAA,QAAC,GAAE,CAAC,KAAG,GAAG;AAAA,MAAC;AAAC,UAAGA,IAAE;AAAQ,aAAI,OAAOA,IAAE,WAAS,eAAaA,IAAE,UAAQ,CAACA,IAAE,OAAO,IAAGA,IAAE,QAAQ,SAAO;AAAG,UAAAA,IAAE,QAAQ,IAAI,EAAE;AAAE,SAAG;AAAE,UAAI;AAAG,YAAI,KAAG,EAAC,mBAAkB,QAAQ,UAAU,mBAAmB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,kBAAkB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,GAAE,oBAAmB,QAAQ,UAAU,oBAAoB,EAAE,OAAO,SAAS,GAAE;AAAC,eAAM,CAAC,EAAE,mBAAmB,QAAQ,CAAC,IAAE;AAAA,MAAE,CAAC,EAAC;AAAG,UAAI;AAAG,UAAG,OAAO,KAAG;AAAY,aAAG;AAAA,eAAU,OAAO,iCAA+B;AAAY,aAAG;AAAA;AAAmC,cAAM,IAAI,MAAM,uCAAuC;AAAE,UAAG,IAAG;AAAC,YAAI,KAAG,GAAG;AAAS,WAAG,WAAS,WAAU;AAAC,aAAG,GAAE,GAAG,kBAAkB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,qBAAoB,CAAC;AAAA,UAAC,CAAC,GAAE,GAAG,mBAAmB,QAAQ,SAAS,GAAE;AAAC,oBAAQ,eAAe,sBAAqB,CAAC;AAAA,UAAC,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,aAAO,EAAE;AAAA,IAAK;AAAA,EAAC,GAAG;AAAE,SAAO,MAAI,YAAU,OAAO,MAAI,WAAS,GAAG,UAAQ,KAAG,OAAO,UAAQ,cAAY,OAAO,MAAI,OAAO,CAAC,GAAE,WAAU;AAAC,WAAO;AAAA,EAAE,CAAC,IAAE,OAAO,MAAI,aAAW,GAAG,oBAAkB;AAAG,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,UAAQ,GAAE,KAAK,YAAUA,KAAE,KAAK,OAAK,oBAAI,WAAQ,KAAK,eAAa;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC,KAAG,KAAK,UAAU,SAAS,KAAK,SAAQ,CAAC,GAAE,KAAK,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAEA,KAAE;AAAC,SAAK,gBAAe,KAAK,KAAK,IAAI,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,WAAO,KAAK,gBAAe,KAAK,KAAK,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK;AAAA,EAAY;AAAC;AAA/W,IAAiX,KAAG,MAAK;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,UAAU;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,WAAO,GAAG,QAAQ;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,UAAU;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,WAAO,GAAG,WAAW;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,YAAY;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,WAAO,GAAG,aAAa;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,OAAO;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,WAAO,GAAG,MAAM;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,yBAAyB;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAO,GAAG,QAAQ;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO,GAAG,gBAAgB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,eAAe,MAAI,KAAG,OAAK;AAAA,EAAI;AAAA,EAAC,UAAS;AAAC,WAAO,GAAG,SAAS;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,QAAM,IAAI,MAAM,IAAI,2HAA2H;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,QAAOA,MAAE;AAAE,SAAK,IAAE;AAAG,IAAAA,MAAE,KAAK,OAAO,IAAE,IAAE,GAAE,KAAI,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,yEAAyE,EAAE,iCAAiC,EAAE,QAAQ;AAAE,MAAIA,MAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAO,IAAEA,MAAE,GAAEA,OAAI,GAAG,GAAEA,KAAE,CAAC,GAAE,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,KAAK,IAAI,GAAE,KAAK,IAAI,GAAEA,GAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI,IAAE,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,IAAE,CAAC,IAAE,EAAEA,GAAC,GAAE,EAAEA,GAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,KAAK,OAAO;AAAE,SAAO,IAAEA,OAAG,IAAEA,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,CAAC,IAAE,OAAO,EAAE,CAAC,CAAC;AAAE,IAAAA,OAAG,IAAE;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,EAAE,GAAE,GAAE;AAAC,MAAG,CAAC;AAAE,UAAM,IAAI,MAAM,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,IAAE,GAAG,GAAE,CAAC,GAAE,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,KAAG,MAAK,MAAI,+DAA+D;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAS;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAG,KAAG,QAAM,KAAG,QAAM,EAAE,WAAS,EAAE;AAAO,WAAM;AAAG,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,QAAG,EAAEA,GAAC,MAAI,QAAM,EAAEA,GAAC,MAAI,QAAM,EAAEA,GAAC,MAAI,EAAEA,GAAC;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAG,KAAG,QAAM,KAAG,QAAM,EAAE,WAAS,EAAE;AAAO,WAAM;AAAG,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,QAAG,EAAEA,GAAC,MAAI,EAAEA,GAAC;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAK,QAAM;AAAK,WAAO,KAAK,KAAK,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,WAAO;AAAE,MAAG,MAAI,KAAG;AAAE,WAAM;AAAG;AAAC,QAAI,IAAE,KAAK,IAAI,IAAE,CAAC;AAAE,YAAO,IAAE,MAAI,IAAE;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,YAAY,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,GAAE,EAAEA;AAAE,MAAEA,GAAC,IAAEA;AAAE,SAAO,GAAG,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,KAAG,EAAE,SAAO,IAAE,IAAE,IAAI,OAAO,IAAE,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG,GAAEA,KAAE,GAAE;AAAC,SAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAE,IAAE,MAAI;AAAC,UAAG,EAAE,GAAE;AAAC,UAAE;AAAE;AAAA,MAAM;AAAC;AAAI,UAAI,IAAE,EAAE,CAAC;AAAE,UAAGA,OAAG,QAAM,KAAGA,KAAE;AAAC,UAAE;AAAE;AAAA,MAAM;AAAC,WAAG,OAAK,EAAE,GAAE,CAAC,IAAE,WAAW,GAAE,CAAC;AAAA,IAAC;AAAE,MAAE;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAG,EAAE,CAAC,KAAG;AAAE,MAAAA,OAAG,EAAE,CAAC;AAAA,aAAU,EAAE,CAAC,MAAI,IAAG;AAAC,UAAG,MAAI;AAAG,cAAM,MAAM,yDAAyD,aAAa,GAAG;AAAE,UAAE;AAAA,IAAC,WAAS,EAAE,CAAC,IAAE;AAAE,YAAM,MAAM,gCAAgC,EAAE,CAAC,YAAY,GAAG;AAAE,MAAG,MAAI,IAAG;AAAC,QAAG,IAAE,KAAG,MAAIA;AAAE,YAAM,MAAM,QAAQ,sCAAsC,GAAG;AAAE,WAAO;AAAA,EAAC;AAAC,MAAGA,QAAI;AAAE,UAAM,MAAM,qCAAqC,8BAA8B;AAAE,MAAG,IAAEA,QAAI;AAAE,UAAM,MAAM,wDAAwD,OAAOA,KAAG;AAAE,MAAI,IAAE,EAAE,MAAM;AAAE,SAAO,EAAE,CAAC,IAAE,IAAEA,KAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAO,IAAE,KAAG,OAAK,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,IAAE,CAAC,EAAE,OAAO,CAAC,GAAE,EAAE,EAAE,MAAM,OAAG,KAAG,CAACA,OAAG,IAAEA,GAAC,GAAE,MAAI,+CAA+CA,QAAMA,qBAAmB,GAAG,GAAE,EAAE,EAAE,MAAM,OAAG,GAAG,CAAC,CAAC,GAAE,MAAI,0DAA0D,GAAG,GAAE,EAAE,IAAI,OAAG,IAAE,IAAEA,MAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAS,GAAE,IAAE,KAAG,QAAM,IAAE,OAAK,GAAG,GAAE,CAAC,EAAE,KAAK,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAG,KAAG,MAAK;AAAC,UAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,cAAM,IAAI,MAAM,sBAAsB,oBAAoB,EAAE,CAAC,aAAa;AAAE,OAAC,EAAE,CAAC,KAAG,QAAM,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,CAAC,KAAG,KAAG;AAAA,IAAG;AAAC,MAAE,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,SAAM,EAAC,UAASA,KAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAK,MAAG,KAAG,QAAM,MAAI;AAAU,IAAAA,MAAE,IAAI,aAAa,CAAC;AAAA,WAAU,MAAI;AAAQ,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA,WAAU,MAAI;AAAO,IAAAA,MAAE,IAAI,WAAW,CAAC;AAAA,WAAU,MAAI;AAAS,IAAAA,MAAE,IAAI,MAAM,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,qBAAqB,GAAG;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,QAAI,IAAE,EAAEA,GAAC;AAAE,QAAG,MAAM,CAAC,KAAG,CAAC,SAAS,CAAC;AAAE,YAAM,MAAM,oBAAoB,6BAA6B,IAAI;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,UAAQ,MAAI,eAAa,MAAI,aAAW,MAAI,WAAS,MAAI;AAAQ;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,EAAE,MAAI,eAAa,MAAI,aAAW,MAAI,eAAa,MAAI,WAAS,MAAI,aAAW,MAAI,eAAa,MAAI,UAAQ,MAAI;AAAO;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI;AAAQ,WAAO;AAAE,MAAG,MAAI;AAAY,WAAO;AAAE,MAAG,MAAI;AAAO,WAAO;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAK,WAAO;AAAE,MAAI,IAAE;AAAE,SAAO,EAAE,QAAQ,CAAAA,QAAG,KAAGA,IAAE,MAAM,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,YAAU,aAAa;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG;AAAS;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG;AAAQ;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAM,QAAQ,CAAC,IAAE,GAAG,EAAE,CAAC,CAAC,IAAE,aAAa,eAAa,YAAU,aAAa,cAAY,aAAa,cAAY,aAAa,oBAAkB,UAAQ,GAAG,CAAC,IAAE,YAAU,GAAG,CAAC,IAAE,WAAS,GAAG,CAAC,IAAE,SAAO;AAAS;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,EAAE,KAAG,EAAE,eAAa,EAAE,QAAM,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,GAAE,EAAEA;AAAE,QAAG,IAAEA,QAAI;AAAE,aAAOA;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,WAAM,CAAC;AAAE,MAAIA,MAAE,IAAI,MAAM,IAAE,CAAC;AAAE,EAAAA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,IAAAA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,IAAI;AAAM,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,KAAG,IAAE,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAEA,IAAE,IAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,KAAG,IAAE,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,GAAG,IAAE,IAAE,GAAE,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,KAAGA,MAAE,IAAE;AAAG,MAAG,MAAI;AAAE,WAAM,CAAC;AAAE,MAAG,MAAI,EAAE;AAAO,UAAM,IAAI,MAAM,IAAI,oCAAoC,EAAE,SAASA,MAAE,0BAAwB,KAAK;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAM,QAAQ,CAAC;AAAE,WAAO;AAAE,MAAG,MAAI;AAAU,WAAO,aAAa,eAAa,IAAE,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,aAAa,aAAW,IAAE,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI,UAAQ,MAAI;AAAS,WAAO,WAAW,KAAK,IAAI,WAAW,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG,QAAM,MAAI,aAAW,MAAI;AAAY,WAAO,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI;AAAO,WAAO,IAAI,WAAW,CAAC;AAAE,QAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC;AAAE,MAAG,KAAG,QAAM,MAAI;AAAU,WAAO,GAAG,GAAE,IAAI,aAAaA,GAAC,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAE,IAAI,WAAWA,GAAC,CAAC;AAAE,MAAG,MAAI;AAAO,WAAO,GAAG,GAAE,IAAI,WAAWA,GAAC,CAAC;AAAE,QAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,QAAQ,OAAG;AAAC,MAAE,OAAO,UAAU,CAAC,KAAG,KAAG,GAAE,MAAI,0EAA0E,KAAK;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAO;AAAE,MAAG,MAAI;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,SAAGA,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,KAAK,MAAM,IAAEA,IAAE,CAAC,CAAC,GAAE,KAAG,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,EAAE,QAAM,OAAO,EAAE,QAAM;AAAU;AAAC,IAAI,KAAG;AAAP,IAAmB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,QAAM,CAAC,GAAE,KAAK,eAAa,CAAC,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,iBAAe,IAAG,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,YAAU,SAAO,EAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,YAAY,KAAK,oEAAoE,IAAI,IAAG,KAAK,eAAa,GAAE,KAAK,WAASA;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,aAAa,CAAC,IAAE,EAAC,cAAaA,KAAE,SAAQ,EAAC,GAAE,KAAK,SAAS,CAAC,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,SAAS,CAAC;AAAE,QAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,qCAAqC,MAAM,IAAI,GAAE,KAAK,IAAI,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,QAAM,KAAK,MAAM,CAAC,KAAG,KAAK,MAAM,CAAC,IAAE,MAAM,KAAK,aAAa,CAAC,GAAE,KAAK,MAAM,CAAC;AAAA,EAAE;AAAA,EAAC,IAAI,GAAE;AAAC,QAAG,KAAK,KAAK;AAAM,aAAO,KAAK,MAAM,CAAC;AAAE,QAAIA,MAAE,KAAK,aAAa,CAAC;AAAE,QAAG,GAAGA,GAAC;AAAE,YAAM,IAAI,MAAM,QAAQ,qEAAqE;AAAE,WAAO,KAAK,MAAM,CAAC,IAAEA,KAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,WAAO,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,IAAI,WAAU;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,IAAI,GAAEA,KAAE;AAAC,QAAG,KAAK,aAAa,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,mBAAmB,kCAAkC;AAAE,SAAK,MAAM,CAAC,IAAEA,KAAE,KAAK,aAAa,CAAC,EAAE,WAAS,QAAM,KAAK,aAAa,CAAC,EAAE,QAAQA,GAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAG,KAAK,aAAa,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,yBAAyB,mCAAmC;AAAE,WAAO,KAAK,aAAa,CAAC,EAAE,aAAa;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,SAAK,QAAM,OAAO,OAAO,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAO;AAAC,SAAK,QAAM,CAAC,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,QAAG,OAAO,KAAK,UAAQ,eAAa,OAAO,KAAK,OAAO,YAAU,eAAa,OAAO,KAAK,OAAO,SAAS,UAAQ;AAAY;AAAO,QAAI,IAAE,KAAK,eAAe,KAAK,OAAO,SAAS,MAAM;AAAE,UAAM,KAAG,EAAE,EAAE,EAAE,MAAM,GAAG,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,GAAG;AAAE,WAAK,SAAS,CAAC,IAAE,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,+BAA8B,CAACA,QAAK,OAAK,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAG,EAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,mBAAmB,CAAC,CAAC,IAAE,mBAAmBA,OAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,YAAY;AAAE,SAAOA,QAAI,UAAQA,QAAI,UAAQA,QAAI,SAAO,GAAG,CAACA,UAAMA,MAAE,CAACA,MAAE;AAAC;AAAC,SAAS,IAAG;AAAC,SAAO;AAAE;AAAC,IAAI,KAAG;AAAK,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,IAAI;AAAG,SAAS,KAAI;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI;AAAE,QAAG,OAAO,UAAQ;AAAY,UAAE;AAAA,aAAe,OAAO,UAAQ;AAAY,UAAE;AAAA,aAAe,OAAO,WAAS;AAAY,UAAE;AAAA,aAAgB,OAAO,QAAM;AAAY,UAAE;AAAA;AAAU,YAAM,IAAI,MAAM,gCAAgC;AAAE,SAAG;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG;AAAE,SAAO,EAAE,cAAY,SAAO,EAAE,aAAW,oBAAI,QAAK,EAAE;AAAU;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG;AAAE,MAAGA,IAAE,IAAI,CAAC;AAAE,WAAOA,IAAE,IAAI,CAAC;AAAE;AAAC,QAAI,IAAE,EAAE;AAAE,WAAOA,IAAE,IAAI,GAAE,CAAC,GAAEA,IAAE,IAAI,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAa,KAAG;AAAhB,IAAuB,KAAG;AAA1B,IAAkC,KAAG;AAArC,IAA2C,KAAG;AAA9C,IAAqD,KAAG;AAAxD,IAA8D,KAAG;AAAjE,IAAuE,KAAG;AAA1E,IAAmF,KAAG;AAAtF,IAA+F,KAAG;AAAlG,IAAyG,KAAG;AAA5G,IAAoH,KAAG;AAAvH,IAA8H,KAAG;AAAjI,IAAyI,KAAG;AAA5I,IAAoJ,KAAG;AAAvJ,IAAiK,KAAG;AAApK,IAAkL,KAAG;AAArL,IAAiM,KAAG;AAApM,IAAoN,KAAG;AAAvN,IAAqO,KAAG;AAAxO,IAAyP,KAAG;AAA5P,IAAuQ,KAAG;AAA1Q,IAAuR,MAAI;AAA3R,IAAyS,KAAG;AAA5S,IAA4T,KAAG;AAA/T,IAAsU,KAAG;AAAzU,IAAgV,KAAG;AAAnV,IAAiW,KAAG;AAApW,IAA8W,KAAG;AAAjX,IAA8X,KAAG;AAAjY,IAA0Y,KAAG;AAA7Y,IAAsZ,KAAG;AAAzZ,IAAgb,KAAG;AAAnb,IAAyc,KAAG;AAA5c,IAAqd,KAAG;AAAxd,IAAif,KAAG;AAApf,IAA4gB,KAAG;AAA/gB,IAAqhB,KAAG;AAAxhB,IAA+hB,KAAG;AAAliB,IAA4iB,KAAG;AAA/iB,IAAwjB,KAAG;AAA3jB,IAA2kB,KAAG;AAA9kB,IAA8lB,KAAG;AAAjmB,IAAgnB,KAAG;AAAnnB,IAA2oB,KAAG;AAA9oB,IAAorB,KAAG;AAAvrB,IAA4tB,KAAG;AAA/tB,IAAsuB,KAAG;AAAzuB,IAAsvB,KAAG;AAAzvB,IAAmxB,KAAG;AAAtxB,IAAizB,KAAG;AAApzB,IAA8zB,KAAG;AAAj0B,IAA00B,KAAG;AAA70B,IAAm1B,KAAG;AAAt1B,IAAg2B,KAAG;AAAn2B,IAAy2B,KAAG;AAA52B,IAAo3B,KAAG;AAAv3B,IAA63B,KAAG;AAAh4B,IAA64B,KAAG;AAAh5B,IAAw5B,KAAG;AAA35B,IAAi6B,KAAG;AAAp6B,IAA26B,KAAG;AAA96B,IAA87B,KAAG;AAAj8B,IAAy8B,KAAG;AAA58B,IAAu9B,KAAG;AAA19B,IAA2+B,KAAG;AAA9+B,IAAy/B,KAAG;AAA5/B,IAAugC,KAAG;AAA1gC,IAAohC,KAAG;AAAvhC,IAAsiC,KAAG;AAAziC,IAAojC,KAAG;AAAvjC,IAA8jC,KAAG;AAAjkC,IAAwkC,KAAG;AAA3kC,IAAslC,KAAG;AAAzlC,IAAimC,KAAG;AAApmC,IAA4mC,KAAG;AAA/mC,IAA2nC,KAAG;AAA9nC,IAAqoC,KAAG;AAAxoC,IAAopC,KAAG;AAAvpC,IAAkqC,KAAG;AAArqC,IAA2qC,KAAG;AAA9qC,IAAsrC,KAAG;AAAzrC,IAAssC,KAAG;AAAzsC,IAAstC,KAAG;AAAztC,IAAquC,KAAG;AAAxuC,IAAqvC,MAAI;AAAzvC,IAAswC,MAAI;AAA1wC,IAAuxC,KAAG;AAA1xC,IAAgyC,KAAG;AAAnyC,IAA6yC,MAAI;AAAjzC,IAAk0C,KAAG;AAAr0C,IAA20C,KAAG;AAA90C,IAAw1C,KAAG;AAA31C,IAAq2C,KAAG;AAAx2C,IAAs3C,KAAG;AAAz3C,IAAq4C,KAAG;AAAx4C,IAAw5C,KAAG;AAA35C,IAA+6C,KAAG;AAAl7C,IAAy7C,KAAG;AAA57C,IAAk8C,KAAG;AAAr8C,IAA+8C,KAAG;AAAl9C,IAA89C,KAAG;AAAj+C,IAAu+C,KAAG;AAA1+C,IAAw/C,KAAG;AAA3/C,IAAsgD,KAAG;AAAzgD,IAA+gD,KAAG;AAAlhD,IAA6hD,KAAG;AAAhiD,IAAsjD,KAAG;AAAzjD,IAA+kD,KAAG;AAAllD,IAAwmD,KAAG;AAA3mD,IAAsnD,KAAG;AAAznD,IAAkoD,KAAG;AAAroD,IAA4oD,KAAG;AAA/oD,IAAupD,MAAI;AAA3pD,IAAkqD,KAAG;AAArqD,IAA2qD,KAAG;AAA9qD,IAAsrD,KAAG;AAAzrD,IAAgsD,KAAG;AAAnsD,IAAktD,KAAG;AAArtD,IAAmuD,KAAG;AAAtuD,IAA6vD,KAAG;AAAhwD,IAAwwD,KAAG;AAA3wD,IAAkxD,KAAG;AAArxD,IAAkyD,KAAG;AAAryD,IAA4yD,KAAG;AAA/yD,IAAyzD,KAAG;AAA5zD,IAAo1D,KAAG;AAAv1D,IAAm3D,KAAG;AAAt3D,IAAu4D,KAAG;AAA14D,IAA+5D,KAAG;AAAl6D,IAA06D,KAAG;AAA76D,IAAu7D,KAAG;AAA17D,IAAk8D,KAAG;AAAr8D,IAA68D,KAAG;AAAh9D,IAA49D,KAAG;AAA/9D,IAAq/D,KAAG;AAAx/D,IAAugE,KAAG;AAA1gE,IAAmhE,KAAG;AAAthE,IAA6hE,KAAG;AAAhiE,IAAwiE,KAAG;AAA3iE,IAAijE,KAAG;AAApjE,IAA2jE,KAAG;AAA9jE,IAAqkE,KAAG;AAAxkE,IAAklE,KAAG;AAArlE,IAAgmE,KAAG;AAAnmE,IAA0mE,KAAG;AAA7mE,IAAmnE,KAAG;AAAtnE,IAAuoE,KAAG;AAA1oE,IAAmpE,KAAG;AAAtpE,IAAgqE,KAAG;AAAnqE,IAAyrE,KAAG;AAA5rE,IAA4sE,KAAG;AAA/sE,IAAmuE,KAAG;AAAtuE,IAAyvE,KAAG;AAA5vE,IAA4wE,KAAG;AAA/wE,IAAmyE,KAAG;AAAtyE,IAA+yE,KAAG;AAAlzE,IAAu0E,KAAG;AAA10E,IAAy1E,KAAG;AAA51E,IAA22E,KAAG;AAA92E,IAA43E,KAAG;AAA/3E,IAAw5E,KAAG;AAA35E,IAAi6E,KAAG;AAAp6E,IAA06E,KAAG;AAA76E,IAAo7E,KAAG;AAAv7E,IAA87E,KAAG;AAAj8E,IAAw8E,KAAG;AAA38E,IAAu9E,KAAG;AAA19E,IAAs+E,KAAG;AAAz+E,IAAk/E,KAAG;AAAr/E,IAA8/E,KAAG;AAAjgF,IAAshF,MAAI;AAA1hF,IAAuiF,KAAG;AAA1iF,IAAsjF,KAAG;AAAzjF,IAAgkF,KAAG;AAAnkF,IAAglF,KAAG;AAAnlF,IAAsmF,KAAG;AAAzmF,IAAwnF,KAAG;AAA3nF,IAAyoF,KAAG;AAAuB,SAAS,MAAM,GAAE;AAAC,IAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,KAAK,GAAG,CAAC;AAAC;AAAC,SAAS,MAAM,GAAE;AAAC,IAAE,EAAE,QAAQ,SAAS,KAAG,EAAE,EAAE,QAAQ,MAAM,KAAG,QAAQ,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG,kBAAiB,MAAI,oBAAI,KAAG;AAAtC,IAAwC,KAAG,GAAG,gBAAe,MAAI,oBAAI,KAAG;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,IAAIA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,QAAQ,GAAEA,MAAE,CAAC;AAAE,aAAO;AAAC,QAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,KAAK;AAAE,QAAG;AAAE;AAAM,QAAG,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,CAAC,IAAE,EAAE,MAAM,GAAG;AAAE,UAAI,KAAGA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,YAAW,GAAE,aAAYA,IAAC,IAAE,GAAE,IAAE,GAAG,GAAEA,GAAC;AAAE,KAAG,IAAI,CAAC,KAAG,GAAG,eAAe,mBAAmBA,4BAA0B,GAAE,GAAG,IAAI,GAAE,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,YAAW,EAAC,IAAE;AAAE,KAAG,IAAI,CAAC,KAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,gCAAgC,IAAI,GAAE,GAAG,IAAI,GAAE,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,MAAG,CAAC,GAAG,IAAIA,GAAC;AAAE,UAAM,IAAI,MAAM,eAAe,mBAAmB,sBAAsB;AAAE,KAAG,OAAOA,GAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,CAAC,GAAG,IAAI,CAAC;AAAE,UAAM,IAAI,MAAM,iBAAiB,kCAAkC;AAAE,KAAG,OAAO,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,KAAG,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,OAAO,OAAO,CAAC,GAAE,GAAE,EAAC,aAAY,EAAC,CAAC;AAAE,OAAG,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,GAAG,KAAK;AAAG;AAAC,IAAI,IAAE,CAAC;AAAE,GAAG,GAAE,EAAC,aAAY,MAAI,IAAG,qBAAoB,MAAI,IAAG,QAAO,MAAI,GAAE,oCAAmC,MAAI,IAAG,eAAc,MAAI,IAAG,mBAAkB,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,OAAM,MAAI,IAAG,gBAAe,MAAI,IAAG,oCAAmC,MAAI,IAAG,mBAAkB,MAAI,IAAG,uBAAsB,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,OAAM,MAAI,IAAG,eAAc,MAAI,IAAG,SAAQ,MAAI,IAAG,mBAAkB,MAAI,IAAG,wBAAuB,MAAI,IAAG,iBAAgB,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,wBAAuB,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,oBAAmB,MAAI,IAAG,2BAA0B,MAAI,IAAG,qBAAoB,MAAI,IAAG,gBAAe,MAAI,IAAG,mBAAkB,MAAI,IAAG,KAAI,MAAI,IAAG,gBAAe,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,UAAS,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,cAAa,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,eAAc,MAAI,IAAG,cAAa,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,aAAa,gBAAc,aAAa,cAAY,aAAa,cAAY,aAAa;AAAiB;AAAC,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,GAAG,WAAS;AAAG,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,WAAW,GAAE,MAAG,EAAE;AAAC;AAAC,IAAI,KAAG,GAAG,kBAAkB;AAA5B,IAA8B,KAAG,GAAG,kBAAkB;AAAtD,IAAwD,KAAG,GAAG,kBAAkB;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,GAAE,IAAEA,GAAC;AAAE,SAAO,GAAG,UAAU,MAAM,KAAK,CAAC,GAAE,MAAG,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,IAAE,IAAE,EAAE,KAAK,CAAC,EAAE,GAAG,EAAE,IAAI,KAAG,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAG,kBAAkB,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,MAAE,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,SAAO,IAAE,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,IAAE,CAAC,GAAE,GAAG,GAAE,IAAE,EAAE,GAAE,GAAG,GAAE,IAAE,EAAE,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAG,KAAG,GAAE;AAAC,QAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAIA,GAAC,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAI,CAAC,EAAE,IAAIA,GAAC;AAAE,WAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,MAAG,KAAG,GAAE;AAAC,QAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,CAAC,GAAE,GAAG,GAAE,IAAE,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,MAAG,IAAE,GAAE;AAAC,QAAIA,MAAE,EAAE,CAAC,GAAE,IAAE,EAAE,KAAG,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAEA,OAAG,KAAG,IAAG,IAAE,KAAG,KAAG;AAAG,WAAO,GAAG,GAAG,IAAI,CAAC,EAAE,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,EAAE,IAAI,EAAE;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAI,EAAE;AAAE,SAAO,GAAG,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,IAAI,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,IAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,EAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,EAAE,IAAIA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,EAAE,IAAIA,GAAC,GAAE,IAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,EAAE,IAAIA,GAAC;AAAE,SAAO,GAAG,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,IAAI,GAAG,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,EAAE,QAAO;AAAC,MAAIA,MAAE,GAAG,WAAW,IAAG,IAAE;AAAE,MAAG,KAAG;AAAG,WAAO,KAAG,KAAG,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAG,KAAG;AAAG,WAAO,GAAG,GAAE,CAAC;AAAE,MAAI,IAAEA,KAAE,IAAEA,IAAE,IAAI,EAAE,EAAE,IAAI,GAAG,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,EAAE,IAAI,GAAG,CAAC,EAAE,IAAI,EAAE,GAAE,IAAE,CAAC,GAAG,OAAM,GAAG,KAAK,GAAE,IAAE,CAAC,GAAG,OAAM,GAAG,KAAK;AAAE,MAAE,EAAE,IAAI,EAAE,EAAE,IAAI,GAAG,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAE,KAAG,IAAE,KAAG,KAAG,IAAG,IAAE,KAAG,IAAE,IAAE,MAAI;AAAG;AAAG,QAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,EAAE,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,IAAI,EAAE,GAAE,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,IAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,KAAG;AAAA,SAAS,MAAI;AAAG,MAAI,IAAE,GAAG,IAAI,EAAE,IAAI,GAAG,EAAE,IAAI,CAAC,CAAC;AAAE,SAAO,IAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,IAAE,IAAE,EAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,IAAG,EAAE,IAAI,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,GAAG,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,GAAG,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,GAAG,CAAC,EAAE,IAAI,EAAE,CAAC,EAAE,IAAI,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,WAAS,GAAG,CAAC,IAAE,GAAG,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,aAAa,gBAAc,MAAI,aAAW,aAAa,cAAY,MAAI,WAAS,aAAa,cAAY,MAAI;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAS,UAAM,IAAI,MAAM,2CAA2C;AAAE,MAAG,MAAM,QAAQ,CAAC,MAAI,IAAE,GAAG,CAAC,IAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,CAAC;AAAE,WAAO;AAAE,MAAG,KAAG,QAAM,MAAI,aAAW,MAAI;AAAY,WAAO,IAAI,aAAa,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,IAAI,WAAW,CAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAIA,MAAE,IAAI,WAAW,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE;AAAE,WAAK,MAAM,EAAE,CAAC,CAAC,MAAI,MAAIA,IAAE,CAAC,IAAE;AAAG,WAAOA;AAAA,EAAC;AAAM,UAAM,IAAI,MAAM,qBAAqB,GAAG;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,SAAS,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,EAAE,SAAS,MAAM,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,SAAQ;AAAC,SAAO,IAAE,KAAG,SAAQ,EAAE,EAAE,SAAS,OAAO,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,SAAQ;AAAC,SAAO,IAAE,KAAG,SAAQ,EAAE,EAAE,SAAS,OAAO,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,SAAS,gBAAc,OAAK,EAAE,EAAE,SAAS,aAAa,CAAC,IAAE,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,CAAC,GAAEA,MAAE,OAAG;AAAC,MAAG,KAAG,SAAO,IAAE,CAAC,IAAG,OAAO,KAAG,aAAW,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,GAAG,CAAC,KAAG,KAAG,QAAM,GAAG,CAAC,KAAGA;AAAE,MAAE,KAAK,CAAC;AAAA,WAAU,MAAM,QAAQ,CAAC,KAAG,GAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,SAAG,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAA,OAAM;AAAC,QAAI,IAAE;AAAG,aAAQ,KAAK,OAAO,KAAK,CAAC;AAAE,2BAAqB,KAAK,CAAC,MAAI,IAAE,KAAK,IAAI,GAAE,OAAO,CAAC,CAAC;AAAG,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,SAAG,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,eAAa,GAAE,KAAK,SAAOA,KAAEA,OAAG,SAAO,KAAK,SAAO,IAAI;AAAA,EAAG;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE;AAAC,QAAI,GAAE,IAAE,MAAI;AAAC,UAAE,EAAE;AAAA,IAAC,GAAE,GAAE,IAAE,GAAG;AAAE,QAAG,KAAK,aAAa,eAAe;AAAE,UAAE,KAAK,aAAa,KAAK,CAAC;AAAA,SAAM;AAAC,QAAE;AAAE,eAAQ,KAAK;AAAE,UAAE,SAAS;AAAE,UAAE,QAAQ,QAAQ,EAAC,UAAS,GAAG,IAAE,EAAC,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,EAAE,QAAQ,8BAA8B;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC;AAAE,UAAE,KAAK,EAAE,KAAK,OAAG;AAAC,aAAG,GAAE,EAAE,OAAM,CAAC;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,WAAM,EAAC,YAAW,GAAE,SAAQ,GAAE,QAAOA,KAAE,QAAO,EAAE,KAAK,OAAG,EAAE,QAAQ,GAAE,WAAU,EAAE,KAAK,OAAG,EAAE,uBAAqB,OAAK,EAAE,oBAAoB,IAAE,EAAE,EAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,QAAG,EAAC,YAAWA,KAAE,SAAQ,GAAE,QAAO,GAAE,QAAO,GAAE,WAAU,EAAC,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,cAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,GAAE,CAAC,CAAC,EAAE,KAAK,OAAG;AAAC,aAAK,OAAO,iBAAiBA,KAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAU,WAAM;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,MAAM,CAAC,KAAG,CAAC,SAAS,CAAC;AAAE,aAAO,QAAQ,KAAK,SAAS,uBAAuBA,MAAI,GAAE;AAAA,EAAE;AAAC,SAAM;AAAE;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,iBAAiB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,OAAO,KAAG,WAAS,GAAG,GAAG,OAAM,CAAC,IAAE,EAAE,OAAM,IAAE,GAAG,GAAE,EAAE,GAAE,IAAEA,IAAE,MAAK,IAAEA,IAAE,MAAK,IAAE,GAAGA,IAAE,MAAM,SAAS,GAAE,EAAE,GAAE,IAAE;AAAG,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,KAAG,MAAK;AAAC,YAAI,IAAE,EAAE,SAAOA,IAAE,OAAM,IAAE,EAAE;AAAO,aAAG,GAAG,MAAM,MAAM,IAAE,IAAE,IAAE;AAAA,MAAK;AAAA,IAAC;AAAC,YAAQ,IAAI,KAAK,OAAO,OAAO,MAAM,OAAO,OAAO,OAAO,KAAI,oBAAmB,aAAY,cAAa,iBAAgB,gBAAe,kBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,EAAE,CAAC,EAAE,EAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAG,EAAE,EAAE,EAAE,GAAE;AAAC,YAAE,QAAQ,QAAQ,OAAG,EAAE,EAAE,EAAE,IAAE,IAAE,GAAE,IAAE,MAAG,EAAE,EAAE,EAAE,IAAE;AAAG;AAAA,QAAK;AAAC,UAAG;AAAE;AAAA,IAAK;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,IAAEA,IAAE,EAAE,IAAE;AAAG,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAQ,QAAO;AAAI,UAAG,EAAE,EAAE,QAAQ,CAAC,EAAE,EAAE,GAAE;AAAC,iBAAQ,KAAK;AAAE,YAAE,EAAE,CAAC,EAAE,EAAE,IAAE,MAAG,EAAE,EAAE,EAAE,IAAE;AAAG;AAAA,MAAK;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,EAAE,EAAE,EAAE,KAAG,EAAE,EAAE,EAAE,GAAE;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,KAAK,EAAE,QAAO;AAAC,YAAI,IAAE,EAAE,OAAO,CAAC;AAAE,UAAE,EAAE,EAAE,MAAI,EAAE,CAAC,IAAE;AAAA,MAAE;AAAC,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,CAAC;AAAE,QAAE,SAAO,GAAE,EAAE,UAAQ,EAAE,SAAQ,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,EAAE,QAAQ,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,EAAE,EAAE;AAAE,WAAG,OAAK,EAAE,KAAK,CAAC,IAAE,EAAE,KAAK,IAAI;AAAA,IAAC,CAAC,GAAE,EAAE,YAAU;AAAK,YAAM,IAAI,MAAM,4DAA4D,EAAE,aAAa;AAAE,QAAI,IAAE,EAAE,SAAS,CAAC;AAAE,aAAQ,KAAK,EAAE,QAAO;AAAC,UAAG,EAAE,KAAK;AAAG,cAAM,IAAI,MAAM,iCAAiC,iCAAiC,OAAO,KAAK,CAAC,IAAI;AAAE,UAAI,IAAEA,IAAE,MAAI,EAAE,CAAC,EAAE,CAAC;AAAE,UAAG,EAAE,UAAQ;AAAU,cAAM,IAAI,MAAM,4BAA4B,EAAE,qCAAqC,yCAAyC,EAAE,QAAQ;AAAE,UAAI,IAAE,EAAE,OAAO,CAAC;AAAE,UAAG,CAAC,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,cAAM,IAAI,MAAM,4BAA4B,EAAE,sCAAsC,iBAAiB,EAAE,wDAAwD,EAAE,QAAQ;AAAE,UAAG,EAAE,EAAE,EAAE,KAAG;AAAK,UAAE,EAAE,EAAE,IAAE;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,EAAE,EAAE;AAAE,UAAE,EAAE,EAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,QAAQ;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAU,KAAG;AAAb,IAAe,KAAG;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,CAAC,QAAQ;AAAE,SAAO,MAAI,EAAE,KAAK,YAAYA,KAAG,GAAE,EAAE,KAAK,WAAW,GAAG,GAAE,EAAE,KAAK,aAAa,IAAI,GAAE,EAAE,KAAK,WAAW,IAAG,EAAE,KAAK,EAAE,IAAI,OAAG,SAAO,CAAC,EAAE,KAAK;AAAA,CAC7k9C,CAAC,GAAE,EAAE,KAAK;AAAA,CACV;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,QAAO,IAAEA,QAAI,cAAY,GAAG,CAAC,IAAE;AAAE,MAAG,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,CAAC,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,GAAG,EAAE,IAAE,CAAC,GAAE,GAAEA,GAAC,EAAE,MAAM;AAAA,IAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI;AAAE,SAAO,MAAM,QAAQ,CAAC,IAAE,IAAE,GAAG,WAAW,EAAE,CAAC,EAAE,QAAQ,EAAE,CAAC,OAAO,WAAW,EAAE,CAAC,EAAE,QAAQ,EAAE,CAAC,OAAK,GAAG,CAAC,IAAE,IAAE,IAAI,OAAKA,QAAI,SAAO,IAAE,GAAG,CAAC,IAAE,IAAE,WAAW,EAAE,QAAQ,EAAE,CAAC,EAAE,SAAS,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,IAAE,UAAQ;AAAM;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,MAAG;AAAC,MAAI,IAAEA,QAAI,cAAY,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAO,MAAG,MAAI,GAAE;AAAC,QAAGA,QAAI,aAAY;AAAC,UAAI,IAAE,GAAG,CAAC;AAAE,aAAM,CAAC,GAAG,EAAE,CAAC,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,WAAOA,QAAI,SAAO,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,EAAE,SAAS,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI,GAAE;AAAC,QAAG,IAAE,IAAG;AAAC,UAAI,IAAE,KAAG,GAAE,IAAE,MAAM,KAAK,EAAE,MAAM,GAAE,CAAC,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,OAAO,IAAE,MAAI,GAAE,IAAE,CAAC,CAAC;AAAE,aAAOA,QAAI,gBAAc,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,IAAG,CAAC,MAAI,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,YAAU,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,IAAE,KAAG,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,GAAG;AAAA,IAAC;AAAC,WAAM,CAAC,OAAKA,QAAI,cAAY,GAAG,CAAC,IAAE,MAAM,KAAK,CAAC,GAAG,IAAI,CAAC,GAAE,MAAI,GAAG,GAAE,EAAE,CAAC,GAAEA,GAAC,CAAC,EAAE,KAAK,IAAI,IAAE,GAAG;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,CAAC;AAAE,MAAG,IAAE,IAAG;AAAC,aAAQ,IAAE,GAAE,IAAE,IAAG,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,KAAE,CAAC;AAAA,IAAC;AAAC,MAAE,KAAK,KAAK;AAAE,aAAQ,IAAE,IAAE,IAAG,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAI,IAAE,CAAC,CAAC;AAAA,IAAC;AAAA,EAAC;AAAM,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,QAAE,KAAK,GAAG,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAI,IAAE,CAAC,CAAC;AAAA,IAAC;AAAC,MAAI,IAAE,MAAI,IAAE,MAAI;AAAG,IAAE,CAAC,IAAE,OAAK,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE;AAAI,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAE,MAAI,IAAE;AAAA;AACz2C,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,SAAG;AAAA;AACvB,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,MAAI,EAAE,EAAE,SAAO,CAAC,IAAE,OAAK,IAAE,KAAG,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAG;AAAE,MAAE,KAAK,CAAC,EAAEA,GAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,QAAMA,KAAE,KAAK,QAAM,EAAE,MAAM,GAAE,KAAK,OAAK,GAAG,CAAC,GAAE,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE;AAAO,QAAE,MAAI,KAAK,MAAK,MAAI,qBAAqB,qDAAqD,KAAK,QAAQ;AAAA,IAAC;AAAC,QAAGA,QAAI;AAAY,YAAM,IAAI,MAAM,4JAA4J;AAAE,SAAK,SAAO,KAAG,GAAGA,KAAE,KAAK,IAAI,GAAE,KAAK,UAAQ,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,MAAKA,KAAE;AAAC,IAAAA,IAAE,WAAS,MAAIA,MAAE,CAAC,CAAC,IAAG,EAAEA,IAAE,WAAS,KAAK,MAAK,MAAI,uCAAuCA,IAAE,gCAAgC,KAAK,OAAO;AAAE,QAAI,IAAE,KAAK,WAAWA,GAAC;AAAE,SAAK,OAAO,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,MAAE,WAAS,MAAI,IAAE,CAAC,CAAC;AAAG,QAAIA,MAAE;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAG,IAAE,KAAG,KAAG,KAAK,MAAMA,GAAC,GAAE;AAAC,YAAI,IAAE,qCAAqC,qBAAqB,KAAK;AAAQ,cAAM,IAAI,MAAM,CAAC;AAAA,MAAC;AAAC,MAAAA;AAAA,IAAG;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,WAAG,KAAK,QAAQ,CAAC,IAAE,EAAE,CAAC;AAAE,WAAO,KAAK,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAO;AAAE,QAAG,KAAK,SAAO;AAAE,aAAO,EAAE,CAAC;AAAE,QAAIA,MAAE,EAAE,EAAE,SAAO,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,MAAAA,OAAG,KAAK,QAAQ,CAAC,IAAE,EAAE,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM,CAAC;AAAE,QAAG,KAAK,SAAO;AAAE,aAAM,CAAC,CAAC;AAAE,QAAIA,MAAE,IAAI,MAAM,KAAK,MAAM,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,SAAO,GAAE,EAAE;AAAE,MAAAA,IAAE,CAAC,IAAE,KAAK,MAAM,IAAE,KAAK,QAAQ,CAAC,CAAC,GAAE,KAAGA,IAAE,CAAC,IAAE,KAAK,QAAQ,CAAC;AAAE,WAAOA,IAAEA,IAAE,SAAO,CAAC,IAAE,GAAEA;AAAA,EAAC;AAAA,EAAC,IAAI,OAAM;AAAC,WAAO,KAAK,MAAM;AAAA,EAAM;AAAA,EAAC,WAAU;AAAC,WAAO,GAAG,EAAE,WAAW,KAAK,QAAO,KAAK,OAAM,KAAK,KAAK;AAAA,EAAC;AAAC;AAAv3C,IAAy3C,KAAG;AAA53C,IAAi4C,KAAG;AAAp4C,IAAy4C,KAAG;AAAK,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,OAAK,OAAG,KAAK,qBAAmB,OAAG,KAAK,QAAM,EAAE,MAAM,GAAE,KAAK,QAAMA,OAAG,WAAU,KAAK,OAAK,GAAG,CAAC,GAAE,KAAK,UAAQ,GAAG,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,KAAG,GAAE,KAAK,WAAS,KAAK,OAAK,IAAE,KAAK,KAAK,SAAS,IAAE;AAAA,EAAQ;AAAA,EAAC,IAAI,OAAM;AAAC,WAAO,KAAK,MAAM;AAAA,EAAM;AAAA,EAAC,MAAM,SAAQ;AAAC,QAAI,IAAE,MAAM,KAAK,KAAK;AAAE,WAAO,GAAG,OAAO,KAAK,OAAM,KAAK,OAAM,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,OAAO,KAAK,OAAM,KAAK,OAAM,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,QAAO;AAAC,QAAI,IAAE,MAAM,KAAK,KAAK;AAAE,WAAO,GAAG,KAAK,OAAM,GAAE,KAAK,UAAQ,WAAW;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAO,GAAG,KAAK,OAAM,KAAK,SAAS,GAAE,KAAK,UAAQ,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,KAAK,MAAM;AAAE,QAAG,KAAK,UAAQ,UAAS;AAAC,UAAIA,MAAE,MAAM;AAAE,UAAG;AAAC,eAAOA,IAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,+FAA+F;AAAA,MAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,EAAE,UAAU,KAAK,QAAO,CAAC;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,GAAG,EAAE,SAAS,KAAK,MAAM;AAAE,QAAG,KAAK,UAAQ;AAAS,UAAG;AAAC,eAAO,EAAE,IAAI,CAAAA,QAAG,GAAGA,GAAC,CAAC;AAAA,MAAC,SAAOA,KAAN;AAAS,cAAM,IAAI,MAAM,+FAA+F;AAAA,MAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,MAAM,QAAO;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,MAAM,GAAG,EAAE,KAAK,KAAK,MAAM;AAAE,WAAO,KAAK,UAAQ,WAAS,IAAE,IAAI,WAAW,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,eAAa,GAAG,EAAE,cAAc,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAG;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,kBAAiB;AAAC,QAAG,KAAK;AAAW,YAAM,IAAI,MAAM,qBAAqB;AAAA,EAAC;AAAA,EAAC,MAAM,IAAE,OAAG;AAAC,WAAO,GAAG,MAAM,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,QAAO;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,MAAM,IAAI;AAAA,EAAC;AAAA,EAAC,SAAS,IAAE,OAAG;AAAC,QAAIA,MAAE,KAAK,SAAS;AAAE,WAAO,GAAGA,KAAE,KAAK,OAAM,KAAK,OAAM,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,IAAE,MAAGA,KAAE,GAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,EAAE,aAAa,MAAK,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,CAAC,CAAC,KAAG,EAAE,QAAM,QAAM,EAAE,YAAU,QAAM,EAAE,mBAAiB,KAAI,CAAC;AAAE,SAAS,KAAI;AAAC,SAAO,GAAG,UAAS,MAAI,EAAE;AAAC;AAAC,GAAG;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,UAAM,EAAE,OAAM,EAAE,OAAM,EAAE,QAAO,CAAC,GAAE,KAAK,YAAUA,KAAE,KAAK,OAAK;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,2BAA2B,EAAE,8BAA8B,KAAK,mBAAmB;AAAE,QAAG,CAAC,GAAG,EAAE,OAAM,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,2BAA2B,EAAE,8BAA8B,KAAK,mBAAmB;AAAE,OAAG,EAAE,cAAc,IAAI,GAAE,KAAK,SAAO,EAAE,QAAO,GAAG,EAAE,OAAO,MAAK,IAAI;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,OAAG,EAAE,gBAAgB,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAE;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,aAAa,MAAI,EAAE,UAAQ,QAAM,EAAE,kBAAkB,SAAQ,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,kBAAiB,MAAI,IAAG,uBAAsB,MAAI,IAAG,gBAAe,MAAI,IAAG,gBAAe,MAAI,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG,MAAK,EAAE,KAAG;AAAI,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,SAAQ,EAAE,OAAK,SAAQ,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,SAAQ,EAAE,OAAK,QAAO,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,WAAU,EAAE,QAAM,WAAU,EAAE,OAAK,WAAU,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,UAAQ,aAAY,EAAE,QAAM,aAAY,EAAE,OAAK,aAAY,EAAE,YAAU;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,EAAC,SAAQ,IAAG,OAAM,IAAG,MAAK,IAAG,WAAU,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,YAAU,MAAI,UAAS;AAAC,QAAG,MAAI,YAAU,MAAI;AAAS,aAAM;AAAS,UAAM,IAAI,MAAM,kBAAkB,UAAU,GAAG;AAAA,EAAC;AAAC,SAAO,GAAG,CAAC,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,QAAM,OAAO,KAAG,YAAU,aAAY,KAAG,EAAE,mBAAmB;AAAY;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,aAAW,eAAa,KAAG,QAAM,OAAO,KAAG,YAAU,YAAW,KAAG,EAAE,kBAAkB;AAAS;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,UAAQ,EAAE;AAAM,WAAM,CAAC,GAAE,CAAC;AAAE,MAAIA,MAAE,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,KAAKA,GAAC,GAAE,EAAE,KAAKA,GAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,EAAE,OAAM,MAAI,2BAA2B,EAAE,qBAAqB,EAAE,yBAAyB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,KAAK,CAAAA,QAAGA,IAAE,OAAK,EAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,oBAAI,KAAG,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,KAAG;AAAK;AAAO,MAAG,aAAa,IAAG;AAAC,MAAE,KAAK,CAAC;AAAE;AAAA,EAAM;AAAC,MAAG,CAAC,GAAG,CAAC;AAAE;AAAO,MAAI,IAAE;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,IAAAA,IAAE,IAAI,CAAC,MAAIA,IAAE,IAAI,CAAC,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG;AAAQ;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,cAAY;AAAI;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,sBAAoB,CAAC,GAAE,KAAK,iBAAe,GAAE,KAAK,WAAS,GAAE,KAAK,aAAW,GAAE,KAAK,mBAAiB,GAAE,KAAK,iBAAe,GAAE,KAAK,gBAAc,GAAE,KAAK,cAAY,GAAE,KAAK,aAAW,CAAC,GAAE,KAAK,oBAAkB,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,aAAW,oBAAI,WAAQ,KAAK,YAAU,OAAG,KAAK,gBAAc,EAAC,UAAS,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,CAAC,GAAE,QAAO,MAAK,IAAI,cAAa;AAAC,aAAO,MAAM,KAAK,IAAI,IAAI,KAAK,QAAQ,IAAI,OAAG,EAAE,IAAI,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,aAAQ,KAAK,KAAK;AAAoB,WAAK,oBAAoB,CAAC,EAAE,QAAQ;AAAA,EAAC;AAAC;AAApiB,IAAsiB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,MAAI,GAAE,KAAK,WAAS,CAAC,GAAE,KAAK,kBAAgB,CAAC,GAAE,KAAK,uBAAqB,GAAE,KAAK,QAAM,IAAI;AAAA,EAAE;AAAA,EAAC,MAAM,QAAO;AAAC,QAAG,KAAK,sBAAoB;AAAK,aAAO,KAAK,mBAAmB,KAAK,MAAI;AAAA,MAAC,CAAC;AAAE,QAAG,KAAK,mBAAiB;AAAK;AAAO,QAAI,IAAE,KAAK,kBAAkB;AAAE,aAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,UAAI,IAAE,EAAEA,GAAC;AAAE,UAAG,MAAM,KAAK,kBAAkB,CAAC,EAAE,SAAQ;AAAC,cAAM,KAAK,WAAW,CAAC;AAAE;AAAA,MAAM;AAAA,IAAC;AAAC,UAAM,IAAI,MAAM,wEAAwE;AAAA,EAAC;AAAA,EAAC,IAAI,UAAS;AAAC,QAAG,KAAK,sBAAoB;AAAK,YAAM,IAAI,MAAM,YAAY,KAAK,gIAAgI;AAAE,QAAG,KAAK,mBAAiB,MAAK;AAAC,UAAG,EAAC,MAAK,GAAE,WAAUA,IAAC,IAAE,KAAK,gCAAgC;AAAE,UAAGA;AAAE,cAAM,IAAI,MAAM,iCAAiC,sHAAsH;AAAE,WAAK,WAAW,CAAC;AAAA,IAAC;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,eAAc;AAAC,WAAO,OAAO,KAAK,KAAK,eAAe;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,EAAE,KAAK,KAAK;AAAU,UAAG,KAAK,KAAK,iBAAgB;AAAC,YAAG,EAAC,WAAUA,IAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,YAAGA;AAAE,iBAAO;AAAA,MAAI;AAAM,eAAO;AAAK,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,WAAO,KAAK,KAAK,kBAAgB,KAAK,gBAAgB,CAAC,EAAE,UAAQ;AAAA,EAAI;AAAA,EAAC,gBAAgB,GAAEA,KAAE,IAAE,GAAE;AAAC,WAAO,KAAK,KAAK,mBAAiB,GAAG,GAAG,qEAAqE,GAAE,UAAK,KAAK,gBAAgB,CAAC,IAAE,EAAC,SAAQA,KAAE,UAAS,EAAC,GAAE;AAAA,EAAG;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAG,KAAK,gBAAgB,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,iBAAiB,0BAA0B;AAAE,QAAG,KAAK,cAAY,GAAE,KAAK,SAAS,CAAC,KAAG,MAAK;AAAC,WAAK,kBAAgB;AAAK,UAAG,EAAC,SAAQA,KAAE,WAAU,EAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,UAAG,EAAE,IAAE,MAAMA,MAAEA;AAAG,eAAM;AAAA,IAAE;AAAC,WAAO,KAAK,kBAAgB,KAAK,SAAS,CAAC,GAAE,KAAK,uBAAuB,GAAE,KAAK,WAAS,IAAI,GAAG,KAAK,eAAe,GAAE;AAAA,EAAE;AAAA,EAAC,yBAAwB;AAAC,OAAG,KAAK,WAAW,EAAE,QAAQ,CAAAA,QAAG;AAAC,MAAAA,IAAE,aAAW,QAAMA,IAAE,UAAU,KAAK,eAAe;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,OAAG,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAE,eAAa,QAAM,EAAE,YAAY,KAAK,SAAS,CAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAE;AAAC,QAAIA,MAAE,KAAK,gBAAgB,CAAC;AAAE,QAAGA,OAAG;AAAK,YAAM,IAAI,MAAM,6BAA6B,2BAA2B;AAAE,QAAG;AAAC,UAAI,IAAEA,IAAE,QAAQ;AAAE,UAAG,KAAG,EAAE,aAAa,OAAK,OAAO,EAAE,QAAM,YAAW;AAAC,YAAI,IAAE,EAAE,KAAK,sBAAqB,IAAE,EAAE,KAAK,OAAG,IAAE,KAAK,uBAAqB,SAAI,KAAK,SAAS,CAAC,IAAE,GAAE,KAAK,qBAAmB,MAAK,KAAG,EAAE,MAAM,QAAI,IAAE,KAAK,yBAAuB,KAAK,qBAAmB,MAAK,GAAG,6BAA6B,UAAU,GAAE,GAAG,EAAE,SAAO,EAAE,OAAO,IAAG,MAAG;AAAE,eAAO,KAAK,qBAAmB,GAAE,EAAC,SAAQ,GAAE,WAAU,KAAE;AAAA,MAAC;AAAM,eAAO,KAAK,SAAS,CAAC,IAAE,GAAE,EAAC,SAAQ,MAAG,WAAU,MAAE;AAAA,IAAC,SAAO,GAAN;AAAS,aAAO,GAAG,6BAA6B,UAAU,GAAE,GAAG,EAAE,SAAO,EAAE,OAAO,GAAE,EAAC,SAAQ,OAAG,WAAU,MAAE;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,QAAG,EAAE,KAAK,KAAK;AAAiB,YAAM,IAAI,MAAM,GAAG,iCAAiC;AAAE,SAAK,gBAAc,KAAG,KAAK,sBAAoB,QAAM,KAAK,wBAAuB,KAAK,KAAK,aAAW,KAAK,yBAAyB,CAAC,GAAE,KAAK,SAAS,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,SAAS,CAAC,IAAG,OAAO,KAAK,gBAAgB,CAAC,GAAE,KAAK,gBAAc,MAAI,KAAK,qBAAmB,MAAK,KAAK,cAAY,MAAK,KAAK,kBAAgB;AAAA,EAAK;AAAA,EAAC,oBAAmB;AAAC,QAAG,OAAO,KAAK,KAAK,eAAe,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,WAAO,OAAO,KAAK,KAAK,eAAe,EAAE,KAAK,CAAC,GAAEA,QAAI,KAAK,gBAAgBA,GAAC,EAAE,WAAS,KAAK,gBAAgB,CAAC,EAAE,QAAQ;AAAA,EAAC;AAAA,EAAC,kCAAiC;AAAC,QAAI,IAAE,KAAK,kBAAkB;AAAE,aAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,UAAI,IAAE,EAAEA,GAAC,GAAE,EAAC,SAAQ,GAAE,WAAU,EAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,UAAG,KAAG;AAAE,eAAM,EAAC,MAAK,GAAE,WAAU,EAAC;AAAA,IAAC;AAAC,UAAM,IAAI,MAAM,wEAAwE;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,MAAM,WAAW,IAAIA,GAAC,GAAE,IAAE,EAAE,SAAQ,IAAE,KAAK,SAASA,GAAC,GAAE,IAAE,EAAE,SAASA,GAAC;AAAE,MAAE,YAAYA,KAAE,IAAE,GAAE,EAAE,UAAQ,GAAE,EAAE,KAAKA,KAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,KAAK,uBAAuB,KAAG,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,SAAO,CAAC;AAAA,EAAG;AAAA,EAAC,KAAK,GAAEA,KAAE;AAAC,QAAI,IAAE;AAAK,QAAGA,OAAG,MAAK;AAAC,UAAG,OAAO,KAAG;AAAW,cAAM,IAAI,MAAM,qCAAqC;AAAE,MAAAA,MAAE;AAAA,IAAC,OAAK;AAAC,UAAG,OAAO,KAAG,YAAU,EAAE,aAAa;AAAQ,cAAM,IAAI,MAAM,gFAAgF;AAAE,UAAG,OAAOA,OAAG;AAAW,cAAM,IAAI,MAAM,gFAAgF;AAAE,UAAE;AAAA,IAAC;AAAC,QAAI;AAAE,WAAO,KAAK,UAAU,MAAI,KAAK,WAAW,CAAC,GAAE,MAAI,KAAK,SAAS,CAAC,GAAE,OAAK,IAAEA,IAAE,GAAE,aAAa,WAAS,QAAQ,MAAM,yCAAyC,GAAE,EAAE;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE;AAAC,MAAE;AAAE,QAAG;AAAC,UAAI,IAAE,EAAE;AAAE,aAAOA,IAAE,GAAE;AAAA,IAAC,SAAO,GAAN;AAAS,YAAMA,IAAE,GAAE;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,eAAc;AAAC,WAAO,GAAG;AAAA,EAAc;AAAA,EAAC,iBAAgB;AAAC,WAAO,GAAG;AAAA,EAAgB;AAAA,EAAC,MAAM,GAAE;AAAC,QAAIA,MAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,CAAC,GAAE,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,QAAI,EAAC,GAAE,MAAI;AAAC,UAAI,IAAE,WAAU,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,aAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAA,IAAC,EAAC,IAAG,IAAE,CAAC;AAAE,WAAO,KAAK,YAAY,KAAK,MAAM,YAAY,MAAK,GAAE,CAACA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,eAAa,QAAM,KAAK,SAAQ,EAAE,GAAG,GAAE,KAAK,WAAW,KAAG;AAAM,YAAM,IAAI,MAAM,WAAW,kCAAkC,KAAK,cAAc;AAAE,WAAO,KAAK,cAAc,EAAC,YAAW,GAAE,QAAOA,KAAE,OAAM,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,IAAI,QAAQ,SAAS;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,WAAW,GAAE,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,WAAG,EAAE,UAAQ,cAAY,IAAE;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,kBAAkB,KAAK,MAAM,kBAAkB,SAAO,CAAC,GAAE,IAAE,IAAEA,MAAE,IAAE;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,YAAY,KAAK,6CAA6C,8BAA8B,IAAI;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,QAAIA,KAAE,IAAE,CAAC,GAAE,IAAE,KAAK,SAAS,GAAE,IAAE,KAAK,MAAM,UAAS,IAAE,KAAK,MAAM;AAAW,SAAK,uBAAuB,KAAG,KAAK,MAAM,kBAAkB,KAAK,CAAC;AAAE,QAAI;AAAE,SAAK,eAAa,QAAM,KAAK;AAAQ,QAAI,GAAE,IAAE,GAAG,CAAC,IAAE,EAAE,aAAW,KAAK,MAAM,eAAa,OAAK,KAAK,MAAM,YAAY,OAAK;AAAG,QAAG,GAAG,CAAC,GAAE;AAAC,UAAG,EAAC,YAAW,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE;AAAE,WAAK,eAAa,QAAM,KAAK;AAAQ,UAAI,IAAE,GAAG,GAAE,KAAK,WAAW;AAAE,QAAE,KAAG,MAAK,MAAI,kCAAkC,mBAAmB,KAAK,cAAc,GAAE,IAAE,MAAI;AAAC,YAAI,IAAE,KAAK,QAAQ,WAAW;AAAE,YAAE,EAAE,WAAW,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQ,KAAK,QAAO,CAAC;AAAE,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,aAAK,uBAAuB,KAAG,KAAK,sBAAsB,GAAE,GAAE,CAAC;AAAE,YAAI,IAAE,EAAE,IAAI,OAAG,EAAE,QAAM,OAAK,IAAE,KAAK,yBAAyB,CAAC,CAAC;AAAE,YAAG,GAAE;AAAC,cAAI,IAAE,KAAK,sBAAsB,GAAE,GAAE,CAAC;AAAE,cAAE,KAAK,2BAA2B,CAAC;AAAA,QAAC;AAAC,eAAO;AAAA,MAAC;AAAA,IAAC,OAAK;AAAC,UAAG,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,OAAG;AAAC,cAAI,IAAE,EAAE,IAAI,OAAG,KAAK,KAAK,KAAK,MAAM,CAAC,CAAC,CAAC;AAAA,MAAE;AAAE,UAAE,MAAI;AAAC,YAAI,IAAE,KAAK,QAAQ,WAAW;AAAE,YAAE,KAAK,KAAK,MAAI,EAAE,KAAK,SAAQ,CAAC,CAAC;AAAE,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,eAAO,KAAK,uBAAuB,KAAG,KAAK,sBAAsB,GAAE,GAAE,CAAC,GAAE;AAAA,MAAC;AAAA,IAAC;AAAC,QAAG,EAAC,QAAO,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAG,CAAC,IAAE,OAAK,EAAE,eAAc;AAAE,WAAO,KAAK,UAAU,MAAI,KAAK,MAAM,eAAc,MAAI,KAAK,MAAM,eAAc,MAAI;AAAC,OAAC,KAAK,IAAI,QAAQ,OAAO,KAAG,CAAC,KAAK,MAAM,YAAUA,MAAE,EAAE,KAAG,IAAE,KAAK,SAAS,cAAc,GAAE,GAAE,MAAI,EAAE,CAAC,GAAE,KAAK,IAAI,QAAQ,OAAO,KAAG,KAAK,SAAS,iBAAiB,CAAC,GAAEA,MAAE,EAAE;AAAA,IAAQ,CAAC,GAAE,KAAG,KAAK,YAAY,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC,GAAE,KAAK,MAAM,aAAW,KAAK,MAAM,cAAc,QAAQ,KAAK,EAAC,MAAK,GAAE,YAAW,KAAK,MAAM,WAAS,GAAE,oBAAmB,KAAK,MAAM,UAAS,cAAa,KAAK,MAAM,aAAW,GAAE,sBAAqB,KAAK,MAAM,YAAW,aAAY,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,KAAG,OAAK,EAAE,CAAC,EAAE,QAAM,IAAI,GAAE,cAAaA,IAAE,IAAI,OAAG,EAAE,KAAK,GAAE,cAAa,EAAE,QAAO,WAAU,EAAE,UAAS,CAAC,GAAE,MAAM,QAAQ,CAAC,IAAEA,MAAEA,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAE;AAAC,WAAO,EAAE,IAAI,OAAG,KAAK,KAAK,KAAK,MAAM,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,gBAAc,CAAC,GAAE,IAAE,EAAE,iBAAe,CAAC,GAAE;AAAE,QAAE,iBAAe,EAAE,MAAM,QAAQA,GAAC,GAAE,MAAI,wDAAwD,GAAE,IAAE,OAAO,KAAKA,GAAC,EAAE,IAAI,OAAGA,IAAE,CAAC,CAAC,KAAG,IAAE,EAAE,IAAI,OAAGA,IAAE,CAAC,CAAC;AAAE,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,EAAE,CAAC,CAAC;AAAE,aAAO,EAAE,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,+CAA+C;AAAE,QAAE,KAAG,WAAU,IAAE,KAAG,KAAK;AAAQ,QAAI,IAAE;AAAE,UAAI,YAAU,GAAG,EAAE,CAAC,CAAC,MAAI,IAAE,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAG,QAAI,IAAE,EAAE,MAAM,GAAEA,KAAE,CAAC,GAAE,IAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,KAAK,aAAa,CAAC;AAAE,QAAG,KAAK,YAAY,GAAE,CAAC,GAAE,MAAI,UAAS;AAAC,UAAI,IAAE,KAAK,MAAM,WAAW,IAAI,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,WAAK,MAAM,YAAU,IAAE,EAAE,OAAM,EAAE,QAAM;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAE,KAAG;AAAU,QAAI,IAAE,EAAC,QAAO,GAAE,OAAMA,KAAE,OAAM,EAAC;AAAE,WAAO,KAAK,yBAAyB,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAEA,KAAE;AAAC,QAAG,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,KAAK,aAAa,CAAC;AAAE,WAAO,KAAK,YAAY,GAAEA,GAAC,GAAE;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,MAAE,MAAG,GAAE,GAAE;AAAC,QAAE,KAAG,KAAK,eAAe,EAAE,SAAS,GAAE,KAAG,QAAM,MAAI,EAAE,UAAQ,IAAE,EAAE,KAAK,CAAC;AAAG,QAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,KAAK,aAAa,CAAC;AAAE,QAAG,KAAK,MAAM,oBAAoB,EAAE,IAAI,KAAG;AAAK,YAAM,IAAI,MAAM,sBAAsB,EAAE,6BAA6B;AAAE,WAAO,KAAK,MAAM,oBAAoB,EAAE,IAAI,IAAE,GAAE,KAAK,OAAO,GAAE,KAAK,OAAO,GAAE;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,MAAM,cAAa,EAAE,UAAQ,YAAU,KAAK,MAAM;AAAmB,QAAI,IAAE;AAAE,MAAE,UAAQ,eAAa,EAAE,UAAQ,aAAW,IAAE,EAAE,OAAK,GAAG,EAAE,KAAK,IAAG,KAAK,MAAM,YAAU,GAAE,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM,MAAI,KAAK,MAAM,kBAAiB,KAAK,MAAM,WAAW,IAAI,EAAE,QAAO,EAAC,SAAQA,OAAG,KAAK,SAAQ,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,CAAC,IAAG,aAAa,MAAI,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,SAAK,YAAY,GAAEA,GAAC,GAAE,KAAK,QAAQ,OAAO,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,SAAK,MAAM,WAAW,IAAI,CAAC,KAAG,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,YAAUA,QAAI,KAAK,MAAM,WAAW,OAAO,CAAC,GAAE,KAAK,MAAM;AAAA,EAAiB;AAAA,EAAC,cAAc,GAAE;AAAC,QAAG,CAAC,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM;AAAE;AAAO,QAAIA,MAAE,KAAK,MAAM,WAAW,IAAI,EAAE,MAAM;AAAE,QAAG,KAAK,MAAM,cAAa,EAAE,UAAQ,aAAW,KAAK,MAAM,oBAAmB,KAAK,MAAM,YAAUA,IAAE,QAAO,EAAE,UAAQ,eAAa,EAAE,UAAQ,UAAS;AAAC,UAAI,IAAE,EAAE,OAAK,GAAG,EAAE,KAAK;AAAE,WAAK,MAAM,YAAU;AAAA,IAAC;AAAC,IAAAA,IAAE,QAAQ,YAAY,EAAE,MAAM,KAAG,KAAK,aAAa,EAAE,QAAOA,IAAE,OAAO;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,aAAQ,KAAK,KAAK,MAAM,qBAAoB;AAAC,UAAIA,MAAE,KAAK,MAAM,oBAAoB,CAAC;AAAE,WAAK,gBAAgBA,GAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,SAAK,cAAc,CAAC,GAAE,KAAK,MAAM,oBAAoB,EAAE,IAAI,KAAG,QAAM,OAAO,KAAK,MAAM,oBAAoB,EAAE,IAAI;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,QAAI,IAAE,KAAK,QAAQ,OAAO;AAAE,WAAO,EAAE,aAAW,KAAK,MAAM,YAAW,EAAE,iBAAe,KAAK,MAAM,gBAAe,EAAE,WAAS,KAAK,MAAM,UAAS,KAAK,MAAM,mBAAiB,MAAI,EAAE,aAAW,MAAG,EAAE,WAAS,SAAO,EAAE,UAAQ,CAAC,IAAG,EAAE,QAAQ,KAAK,uEAAuE,IAAG;AAAA,EAAC;AAAA,EAAC,MAAM,QAAQ,GAAE;AAAC,SAAK,MAAM,YAAU;AAAG,QAAIA,MAAE,KAAK,MAAM,UAAS,IAAE,KAAK,MAAM;AAAW,SAAK,MAAM,cAAc,UAAQ,CAAC,GAAE,KAAK,MAAM,cAAc,SAAO,MAAM,EAAE,GAAE,KAAK,MAAM,YAAU,OAAG,KAAK,MAAM,cAAc,YAAU,KAAK,IAAI,GAAG,KAAK,MAAM,cAAc,QAAQ,IAAI,OAAG,EAAE,kBAAkB,CAAC,GAAE,KAAK,MAAM,cAAc,WAAS,KAAK,MAAM,WAASA,KAAE,KAAK,MAAM,cAAc,aAAW,KAAK,MAAM,aAAW;AAAE,aAAQ,KAAK,KAAK,MAAM,cAAc;AAAQ,QAAE,eAAa,MAAM,EAAE,cAAa,EAAE,YAAU,MAAM,EAAE;AAAU,WAAO,KAAK,MAAM;AAAA,EAAa;AAAA,EAAC,WAAU;AAAC,WAAO,KAAK,MAAM,gBAAc,KAAG,KAAK,MAAM,gBAAc;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAC,IAAG,KAAK,MAAM,kBAAiB,YAAW,GAAE,QAAOA,KAAE,SAAQ,GAAE,OAAM,EAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAG,SAAO,IAAE,EAAE,WAAU,KAAG,SAAO,EAAE,WAAS,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAG,KAAG,MAAK;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,EAAE,MAAK,EAAE,KAAK;AAAE,eAAO,KAAK,WAAW,GAAE,EAAE,OAAM,EAAE,KAAK;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC,CAAC,GAAE,EAAE,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC,GAAE,GAAE,CAAC,KAAI,KAAK,MAAM,WAAW,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,EAAE,OAAK,MAAG;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,SAAK,MAAM,kBAAgB,MAAI,KAAK,MAAM,aAAW,CAAC,IAAG,KAAK,MAAM;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,SAAK,MAAM;AAAA,EAAe;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,EAAC,OAAM,CAAC,GAAE,MAAK,iBAAgB,IAAG,KAAK,MAAM,cAAa;AAAE,UAAIA,IAAE,OAAK,IAAG,KAAK,MAAM,WAAW,KAAKA,GAAC,GAAE,KAAK,MAAM,cAAYA;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,IAAI,IAAIA,IAAE,IAAI,OAAG,EAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,MAAM,YAAY,MAAM,QAAO,KAAI;AAAC,UAAI,IAAE,KAAK,MAAM,YAAY,MAAM,CAAC;AAAE,OAAC,EAAE,QAAM,CAAC,EAAE,IAAI,EAAE,EAAE,KAAG,EAAE,QAAQ;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,MAAM,WAAW,IAAI;AAAE,SAAK,MAAM,cAAY,KAAK,MAAM,WAAW,WAAS,IAAE,OAAK,KAAK,MAAM,WAAW,KAAK,MAAM,WAAW,SAAO,CAAC,GAAEA,IAAE,QAAQ,OAAG;AAAC,OAAC,EAAE,QAAM,EAAE,YAAU,EAAE,MAAI,KAAK,MAAM,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,QAAG,EAAEA,IAAE,SAAO,GAAE,MAAI,2CAA2C,GAAE,KAAG,QAAM,EAAE,UAAQ;AAAU,YAAM,IAAI,MAAM,0CAA0C,EAAE,QAAQ;AAAE,QAAI,IAAE,KAAK,UAAU,MAAI,KAAK,UAAU,GAAE,MAAI,KAAK,QAAQ,GAAE,MAAI,KAAK,KAAK,WAAU,CAAC,CAAC;AAAE,MAAE,aAAa,IAAG,MAAI,gDAAgD;AAAE,QAAI,IAAE,GAAG,KAAK,MAAM,YAAWA,KAAE,CAAC;AAAE,QAAG,CAAC,KAAG,EAAE,WAAS,KAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,qIAAqI;AAAE,WAAO,KAAK,KAAK,YAAW,MAAI;AAAC,UAAI,IAAE,CAAC;AAAE,QAAE,EAAE,EAAE,IAAE,KAAG,OAAK,GAAG,EAAE,KAAK,IAAE,GAAE,GAAG,GAAE,GAAE,OAAG,KAAK,KAAK,CAAC,GAAE,EAAE;AAAE,UAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,EAAE,EAAE,CAAC;AAAE,aAAO,KAAK,MAAM,kBAAgB,MAAI,KAAK,MAAM,WAAW,QAAQ,OAAG;AAAC,iBAAQ,KAAK,EAAE;AAAM,YAAE,QAAQ;AAAA,MAAC,CAAC,GAAE,KAAK,MAAM,aAAW,OAAM,EAAC,OAAM,GAAE,OAAM,EAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,EAAE,GAAG,CAAC,GAAE,MAAI,mDAAmD,GAAE,IAAIA,QAAI;AAAC,QAAEA,IAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,kEAAkE;AAAE,UAAI,GAAE,IAAE,CAAC;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAE,CAAC,IAAE;AAAA,MAAC,CAAC;AAAE,UAAI,IAAE,CAAC,GAAE,OAAK,IAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,EAAE,EAAE,iBAAiB,IAAG,MAAI,4FAA4F,GAAE,EAAE,GAAG,EAAE,QAAQ,GAAE,MAAI,kGAAkG,GAAE,EAAE,QAAO,IAAE,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,SAAS,GAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,EAAE,WAASA,IAAE,QAAO,MAAI,qKAAqK,GAAE,EAAE,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,sIAAsI;AAAE,YAAI,IAAE,CAAC;AAAE,eAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAE,CAAC,IAAE,MAAI;AAAA,QAAC,CAAC,GAAE;AAAA,MAAC;AAAE,aAAO,KAAK,cAAc,EAAC,aAAY,GAAE,eAAc,GAAE,QAAO,EAAC,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,WAAO,KAAK,MAAM,WAAW,IAAI,CAAC,EAAE,QAAQ,UAAU,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,GAAG,GAAE,IAAE,MAAM,KAAK,QAAQ,KAAK,CAAC;AAAE,WAAO,EAAE,SAAO,GAAG,IAAEA,KAAE;AAAA,EAAC;AAAA,EAAC,MAAM,GAAE;AAAC,WAAO,KAAK,MAAM,eAAa,SAAO,EAAE,UAAQ,KAAK,MAAM,YAAY,IAAG,KAAK,MAAM,YAAY,MAAM,KAAK,CAAC,IAAG;AAAA,EAAC;AAAA,EAAC,IAAI,sBAAqB;AAAC,WAAO,KAAK,MAAM;AAAA,EAAmB;AAAA,EAAC,QAAO;AAAC,SAAK,wBAAuB,KAAK,MAAM,QAAQ,GAAE,KAAK,IAAI,MAAM,GAAE,KAAK,QAAM,IAAI;AAAG,aAAQ,KAAK,KAAK;AAAS,WAAK,yBAAyB,CAAC,GAAE,KAAK,SAAS,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,SAAS,CAAC;AAAE,SAAK,cAAY,MAAK,KAAK,kBAAgB,MAAK,KAAK,qBAAmB;AAAA,EAAI;AAAC;AAAE,GAAG,eAAa;AAAE,GAAG,iBAAe;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,GAAG,CAAC,GAAE,SAAS;AAAE,SAAO,EAAE,WAAW,GAAE,GAAE,SAAS;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG;AAAE,MAAG,EAAE,aAAW,MAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC;AAAE,MAAE,YAAU,IAAI,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,EAAE,UAAU,GAAG,GAAE,GAAG,MAAI,EAAE,SAAS,GAAE,EAAE;AAAS;AAAC,IAAI,IAAE,GAAG;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,GAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,WAAU,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,GAAE,CAAC;AAAE,SAAS,KAAI;AAAC,SAAO,OAAO,aAAW,eAAa,aAAW;AAAI;AAAC,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,OAAK;AAAO,WAAO;AAAG,MAAG,KAAG,GAAG,GAAE;AAAC,QAAG,MAAI,IAAE,YAAW,EAAE,YAAU;AAAc,aAAM;AAAG,QAAI,IAAE,EAAE,aAAW,EAAE,WAAS,OAAO,UAAQ,cAAY,OAAO,QAAM;AAAI,QAAG,CAAC,GAAE;AAAC,UAAIA,MAAE;AAAE,aAAOA,IAAE,iBAAeA,IAAE,cAAc;AAAA,IAAM;AAAC,WAAM,2TAA2T,KAAK,CAAC,KAAG,0kDAA0kD,KAAK,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAM;AAAE;AAAC,SAAS,KAAI;AAAC,SAAO,OAAO,UAAQ,eAAa,OAAO,YAAU,QAAM,OAAO,qBAAmB;AAAW;AAAC,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,SAAQ,MAAI,OAAG,OAAG;AAAC,OAAG,QAAQ,KAAK,6IAA6I;AAAC,CAAC;AAAE,GAAG,aAAa,cAAa,MAAI,GAAG,CAAC;AAAE,GAAG,aAAa,WAAU,MAAI,OAAO,WAAS,eAAa,OAAO,QAAQ,YAAU,eAAa,OAAO,QAAQ,SAAS,QAAM,WAAW;AAAE,GAAG,aAAa,aAAY,MAAI,OAAO,aAAW,eAAa,aAAW,QAAM,UAAU,aAAW,QAAM,SAAS,KAAK,UAAU,SAAS,KAAG,aAAa,KAAK,UAAU,MAAM,CAAC;AAAE,GAAG,aAAa,aAAY,MAAI,OAAO,aAAW,eAAa,aAAW,QAAM,UAAU,aAAW,QAAM,SAAS,KAAK,UAAU,SAAS,KAAG,QAAQ,KAAK,UAAU,MAAM,CAAC;AAAE,GAAG,aAAa,QAAO,MAAI,KAAE;AAAE,GAAG,aAAa,sCAAqC,MAAI,GAAG,QAAQ,OAAO,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,IAAE;AAAE,GAAG,aAAa,WAAU,MAAI,KAAE;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,QAAQ,OAAO,CAAC;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,GAAG,aAAa,yCAAwC,MAAI,KAAE;AAAE,GAAG,aAAa,wBAAuB,MAAI,KAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAG,GAAG,CAAC;AAAE,WAAO,MAAI,WAAS,CAAC,IAAE,CAAC,EAAE,MAAM;AAAE,MAAG,GAAG,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,YAAU;AAAO,WAAM,CAAC,EAAE,QAAO,EAAE,QAAM,EAAE,MAAM;AAAA,EAAC,WAAS,GAAG,CAAC;AAAE,WAAM,CAAC,EAAE,OAAO,QAAM,KAAG,OAAK,IAAE,GAAG,CAAC,EAAE;AAAE,MAAG,CAAC,MAAM,QAAQ,CAAC;AAAE,WAAM,CAAC;AAAE,MAAI,IAAE,CAAC;AAAE,SAAK,MAAM,QAAQA,GAAC,KAAG,GAAGA,GAAC,KAAG,MAAI;AAAU,MAAE,KAAKA,IAAE,MAAM,GAAEA,MAAEA,IAAE,CAAC;AAAE,SAAO,MAAM,QAAQ,CAAC,KAAG,EAAE,EAAE,QAAQ,oCAAoC,KAAG,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,MAAEA,OAAG,CAAC,GAAE,CAAC,MAAM,QAAQ,CAAC,KAAG,CAAC,GAAG,CAAC,GAAE;AAAC,MAAE,EAAE,WAAS,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,2DAA2D,EAAE,CAAC,YAAY;AAAE;AAAA,EAAM;AAAC,IAAE,EAAE,SAAO,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,gDAAgD,EAAE,iBAAiB,GAAE,EAAE,EAAE,WAAS,EAAE,CAAC,GAAE,MAAI,eAAeA,IAAE,KAAK,IAAI,kBAAkB,EAAE,CAAC,uBAAuB,EAAE,iBAAiB;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,OAAG,EAAE,CAAC,GAAE,GAAEA,IAAE,OAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI,qBAAoB;AAAC,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,gCAAgC;AAAE,QAAG,MAAI,aAAW,MAAI,KAAG,MAAI,aAAW,MAAI;AAAS,YAAM,IAAI,MAAM,aAAaA,mBAAiB,cAAc,qBAAqB,UAAU;AAAA,EAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,MAAG,aAAa;AAAG,WAAO,GAAG,GAAE,EAAE,OAAM,GAAEA,GAAC,GAAE;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,YAAU,CAAC,QAAO,SAAQ,SAAS,EAAE,QAAQ,CAAC,KAAG,MAAI,IAAE,IAAG,GAAG,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAG,QAAM,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG,aAAW,OAAO,KAAG,UAAS;AAAC,QAAI,IAAE,KAAG,OAAK,SAAO,EAAE,YAAY;AAAK,UAAM,IAAI,MAAM,aAAa,iBAAiBA,iDAA+C,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,GAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC;AAAG,MAAI,IAAE,MAAI,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE;AAAE,SAAO,EAAE,WAAW,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,MAAG,CAAC,MAAM,QAAQ,CAAC;AAAE,UAAM,IAAI,MAAM,YAAY,eAAeA,gDAA8C;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,GAAG,KAAK,MAAKA,KAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAO,SAAS,EAAE,GAAE;AAAC,MAAI,IAAE,OAAO,KAAK,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,yGAAyG,EAAE,cAAc;AAAE,MAAIA,MAAE,EAAE,CAAC,GAAE,IAAE,EAAEA,GAAC;AAAE,EAAAA,IAAE,SAAS,GAAG,MAAIA,MAAEA,IAAE,UAAU,GAAEA,IAAE,SAAO,CAAC,IAAGA,MAAEA,MAAE;AAAG,MAAI,IAAE,IAAI,MAAI;AAAC,MAAE,WAAWA,GAAC;AAAE,QAAG;AAAC,UAAI,IAAE,EAAE,GAAG,CAAC;AAAE,aAAO,GAAG,CAAC,KAAG,QAAQ,MAAM,yCAAyC,GAAE,EAAE,SAAS,CAAC,GAAE;AAAA,IAAC,SAAO,GAAN;AAAS,YAAM,EAAE,SAAS,IAAI,GAAE;AAAA,IAAC;AAAA,EAAC;AAAE,SAAO,OAAO,eAAe,GAAE,QAAO,EAAC,OAAMA,KAAE,cAAa,KAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,QAAO,SAAS,GAAE,IAAE,EAAE,GAAE,QAAO,SAAS;AAAE,KAAGA,IAAE,OAAM,EAAE,OAAM,yBAAyBA,IAAE,aAAa,EAAE,4CAA4C;AAAE,MAAI,IAAE,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,KAAG;AAAK,QAAE,GAAG,CAAC;AAAA,WAAU,MAAI;AAAY,UAAM,IAAI,MAAM,kFAAkF;AAAE,MAAG,GAAG,CAAC,KAAG,GAAG,CAAC,GAAE;AAAC,QAAG,MAAI,aAAW,MAAI;AAAQ,YAAM,IAAI,MAAM,2FAA2F,IAAI;AAAE,WAAO,EAAE,QAAQ,wBAAwB,GAAE,KAAGA,KAAE,CAAC;AAAA,EAAC;AAAC,MAAG,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,OAAO,KAAG,YAAU,OAAO,KAAG,aAAW,OAAO,KAAG;AAAS,UAAM,IAAI,MAAM,0HAA0H;AAAE,MAAG,KAAG,MAAK;AAAC,OAAG,CAAC;AAAE,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAGA,GAAC;AAAE,MAAE,MAAI,GAAE,MAAI,iCAAiC,8BAA8B,oBAAoB,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,MAAIA,IAAE,SAAO,IAAE,MAAI,GAAG,EAAE,MAAM,CAAC,CAAC,IAAE;AAAG,QAAEA,IAAE,CAAC,MAAI,EAAE,CAAC,KAAG,CAAC,GAAE,MAAI,gDAAgDA,2CAAyC,MAAM;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,CAAC,GAAG,CAAC,KAAG,CAAC,MAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,IAAE,KAAGA,KAAE,IAAE,MAAI,WAAS,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,SAAQ,GAAE,SAAQ,GAAE,OAAM,GAAE,QAAO,GAAE,OAAM,GAAE,MAAK,GAAE,WAAU,EAAC;AAAE,IAAI,KAAG;AAAE,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,QAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAQ,EAAE,UAAQ,YAAU,EAAE,UAAQ;AAAY,YAAM,IAAI,MAAM,gCAAgC,OAAO,EAAE,OAAO;AAAE,QAAI,IAAE,EAAC,MAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAE,QAAG,EAAE,UAAQ,UAAS;AAAC,UAAI,IAAE,IAAI,QAAQ,OAAM,MAAG;AAAC,YAAI,IAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,EAAE,QAAO,CAAC,IAAE,KAAG,EAAE,QAAO,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,cAAI,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,YAAY,CAAC,EAAE,MAAM,CAAC,EAAE,MAAM;AAAE,YAAE,IAAI,GAAE,CAAC,GAAE,KAAG,IAAG,EAAE,IAAI,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,QAAM;AAAC,UAAE,CAAC;AAAA,MAAC,CAAC;AAAE,QAAE,KAAK,CAAC;AAAA,IAAC;AAAM,QAAE,KAAK,EAAE,KAAK,CAAC;AAAE,SAAG,SAAO,EAAE,QAAM,IAAGA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,SAAM,EAAC,MAAK,GAAG,CAAC,GAAE,OAAMA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,GAAE,IAAE;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAI,IAAE,EAAE,MAAK,IAAE,EAAE,OAAM,IAAE,EAAE,OAAM,IAAE,GAAG,CAAC,GAAE;AAAE,QAAG,kBAAiB,GAAE;AAAC,UAAI,IAAE,EAAE;AAAa,UAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAS;AAAC,YAAG,EAAE,SAAQ,KAAG,WAAU;AAAG,gBAAM,IAAI,MAAM,UAAU,EAAE,0BAA0B,EAAE,0DAA0D;AAAA,MAAC,WAAS,EAAE,UAAQ,WAAU;AAAC,YAAG,MAAI;AAAU,gBAAM,IAAI,MAAM,UAAU,EAAE,0BAA0B,EAAE,yDAAyD,IAAI;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,UAAU,EAAE,uCAAuC,EAAE,6EAA6E;AAAE,UAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,UAAQ,UAAQ,IAAI,WAAW,CAAC,IAAE,IAAI,YAAY,CAAC;AAAE,UAAG,MAAI;AAAU,YAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ,UAAS;AAAC,cAAE,IAAI,aAAa,EAAE,MAAM;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,gBAAI,IAAE,EAAE,CAAC;AAAE,cAAE,CAAC,IAAE,IAAE,EAAE,QAAM,EAAE;AAAA,UAAG;AAAA,QAAC,WAAS,EAAE,UAAQ;AAAU,gBAAI,WAAS,IAAE,GAAG,IAAG,IAAE,EAAE,CAAC;AAAA;AAAO,gBAAM,IAAI,MAAM,iCAAiC,EAAE,gCAAgC;AAAA,eAAU,MAAI,SAAQ;AAAC,YAAG,EAAE,UAAQ,WAAS,EAAE,UAAQ;AAAS,gBAAM,IAAI,MAAM,iCAAiC,EAAE,8BAA8B;AAAE,YAAE,IAAI,WAAW,EAAE,MAAM;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,cAAI,IAAE,EAAE,CAAC;AAAE,YAAE,CAAC,IAAE,KAAK,MAAM,IAAE,EAAE,QAAM,EAAE,GAAG;AAAA,QAAC;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,gCAAgC,OAAO,GAAG;AAAE,WAAG,IAAE;AAAA,IAAC,WAAS,MAAI,UAAS;AAAC,UAAI,IAAE,GAAG,EAAE,KAAK;AAAE,UAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAI,YAAY,EAAE,MAAM,GAAE,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,aAAG;AAAG,YAAI,IAAE,IAAI,WAAW,EAAE,MAAM,GAAE,IAAE,CAAC,CAAC;AAAE,UAAE,KAAK,CAAC,GAAE,KAAG;AAAA,MAAC;AAAA,IAAC,OAAK;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,IAAE,IAAE,CAAC;AAAE,UAAG,MAAI;AAAU,YAAE,IAAI,aAAa,CAAC;AAAA,eAAU,MAAI;AAAQ,YAAE,IAAI,WAAW,CAAC;AAAA,eAAU,MAAI;AAAO,YAAE,IAAI,WAAW,CAAC;AAAA,eAAU,MAAI,aAAY;AAAC,YAAE,IAAI,aAAa,CAAC;AAAE,YAAI,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC,GAAE,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,YAAI,IAAE,GAAG,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,GAAE,SAAS;AAAE,QAAAA,IAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ;AAAA,MAAC;AAAM,cAAM,IAAI,MAAM,gCAAgC,OAAO,GAAG;AAAE,WAAG,IAAE;AAAA,IAAC;AAAC,UAAI,gBAAcA,IAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAA,EAAE;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAK,UAAM,IAAI,MAAM,wBAAwB,KAAK,UAAU,CAAC,GAAG;AAAE,MAAI,IAAE,GAAEA,MAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAG,KAAG,EAAE,YAAWA,IAAE,KAAK,EAAE,eAAa,EAAE,OAAO,aAAW,IAAE,IAAI,EAAE,YAAY,CAAC,CAAC,GAAE,EAAE,aAAa,gBAAc,aAAa,cAAY,aAAa;AAAY,YAAM,IAAI,MAAM,mCAAmC,EAAE,YAAY,MAAM;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,SAAOA,IAAE,QAAQ,OAAG;AAAC,MAAE,IAAI,IAAI,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,EAAU,CAAC,GAAE,EAAE;AAAM;AAAC,IAAI,KAAG,OAAO,UAAQ,gBAAc,OAAO,QAAM,eAAa,OAAO,QAAM,eAAa,OAAO,QAAM;AAAa,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,OAAO,WAAW,CAAC,IAAE,IAAI,KAAK,CAAC,CAAC,CAAC,EAAE;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAG,WAAO,OAAO,KAAK,CAAC,EAAE,SAAS,QAAQ;AAAE,MAAI,IAAE,IAAI,WAAW,CAAC,GAAEA,MAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,IAAE,GAAE;AAAI,IAAAA,OAAG,OAAO,aAAa,EAAE,CAAC,CAAC;AAAE,SAAO,KAAKA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,IAAG;AAAC,QAAI,IAAE,OAAO,KAAK,GAAE,QAAQ;AAAE,WAAO,EAAE,OAAO,MAAM,EAAE,YAAW,EAAE,aAAW,EAAE,UAAU;AAAA,EAAC;AAAC,MAAI,IAAE,KAAK,CAAC,GAAEA,MAAE,IAAI,WAAW,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,IAAI,CAAC,EAAE,WAAW,CAAC,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,WAAO,EAAE,CAAC;AAAE,MAAI,IAAE;AAAE,IAAE,QAAQ,OAAG;AAAC,SAAG,EAAE;AAAA,EAAU,CAAC;AAAE,MAAIA,MAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,SAAO,EAAE,QAAQ,OAAG;AAAC,IAAAA,IAAE,IAAI,IAAI,WAAW,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE;AAAA,EAAU,CAAC,GAAEA,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAI,OAAI,IAAE,EAAE,KAAK,GAAE,EAAE,SAAS,CAAC;AAAG,QAAE,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC;AAAE,MAAIA,MAAE,EAAE,MAAM,CAAC;AAAE,SAAOA,IAAEA,IAAE,SAAO,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,eAAc,EAAE,eAAc,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,aAAY,iBAAgB,EAAC;AAAE,SAAO,EAAE,aAAW,SAAOA,IAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAOA,IAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAOA,IAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAOA,IAAE,uBAAqB,EAAE,uBAAsB,EAAE,kBAAgB,SAAOA,IAAE,iBAAe,EAAE,iBAAgBA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAC,eAAc,EAAE,eAAc,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,YAAW;AAAE,MAAG,EAAE,kBAAgB,SAAO,EAAE,iBAAe,EAAE,iBAAgB,EAAE,mBAAiB,MAAK;AAAC,QAAG,CAAC;AAAE,YAAM,IAAI,MAAM,uDAAuD;AAAE,QAAG,CAACA;AAAE,YAAM,IAAI,MAAM,sDAAsD;AAAE,MAAE,cAAY,GAAE,EAAE,aAAWA;AAAA,EAAC;AAAC,SAAO,EAAE,aAAW,SAAO,EAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAO,EAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAO,EAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAO,EAAE,uBAAqB,EAAE,uBAAsB;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,KAAE;AAAE,SAAO,EAAE,mBAAiB,SAAO,CAACA,KAAE,CAAC,IAAE,MAAM,EAAE,EAAE,eAAe,IAAG,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,yBAAyB;AAAY,UAAM,IAAI,MAAM,qDAAqD;AAAE,SAAM,EAAC,WAAU,oBAAI,QAAK,mBAAkB,QAAO,oBAAmB,EAAE,iBAAe,OAAK,IAAE,GAAG,KAAK,UAAU,EAAE,aAAa,CAAC,GAAE,kBAAiB,EAAE,eAAa,OAAK,IAAE,GAAG,KAAK,UAAU,EAAE,WAAW,CAAC,GAAE,iBAAgB,EAAE,cAAY,OAAK,IAAE,EAAE,WAAW,WAAU;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,OAAK;AAAE,MAAE,KAAK,GAAGA,IAAE,OAAO;AAAE,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,CAAAA,QAAG;AAAC,QAAI,IAAEA,OAAG,IAAG,IAAE;AAAE,WAAK,EAAE,IAAE;AAAU,WAAG,SAAQ,MAAI;AAAE,WAAO,KAAG,UAAS,KAAG,WAAU,IAAE;AAAA,EAAC,GAAE,IAAE,IAAI,YAAY,IAAI;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,MAAKA;AAAI,MAAEA,GAAC,IAAE,EAAEA,GAAC;AAAE,WAAQA,MAAE,MAAKA,MAAE,MAAKA;AAAI,MAAEA,GAAC,IAAE,aAAWA,MAAE,QAAM;AAAI,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,IAAI,YAAY,EAAE;AAAE,IAAE,CAAC,IAAE,GAAE,EAAE,EAAE,IAAE,YAAW,EAAE,EAAE,IAAE,YAAW,EAAE,EAAE,IAAE;AAAW,WAAQ,IAAE,GAAE,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE,KAAG;AAAG,WAAQ,IAAE,IAAG,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE,cAAY,IAAE,MAAI;AAAI,SAAO;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,IAAI,YAAY,EAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAG;AAAI,MAAE,CAAC,IAAE;AAAK,SAAO,EAAE,CAAC,IAAE,EAAE,EAAE,IAAE,GAAE;AAAC;AAAC,SAAS,KAAI;AAAC,MAAI,IAAE,GAAG,GAAE,IAAE,GAAG,GAAEA,MAAE,GAAG;AAAE,SAAO,OAAG;AAAC,QAAI,IAAE,IAAI,YAAY,IAAE,EAAE,MAAM,GAAE,IAAE,IAAI,YAAY,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAEA,IAAE,KAAG,EAAE,KAAG,IAAE,KAAK,IAAE,EAAE,KAAG,EAAE;AAAE,QAAE,CAAC,IAAE;AAAA,IAAC;AAAC,WAAO,IAAI,aAAa,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,cAAa;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,mBAAmB,GAAE;AAAC,OAAG,YAAY,EAAE,YAAY,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,mBAAmB,GAAE;AAAC,OAAG,YAAY,EAAE,YAAY,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,gBAAgB,GAAE;AAAC,WAAO,GAAG,YAAY,GAAE,MAAM;AAAA,EAAC;AAAA,EAAC,OAAO,gBAAgB,GAAEA,KAAE;AAAC,WAAO,GAAG,YAAY,GAAE,QAAOA,GAAC;AAAA,EAAC;AAAA,EAAC,OAAO,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,YAAOA,QAAI,SAAO,GAAG,YAAY,EAAE,cAAY,GAAG,YAAY,EAAE,aAAa,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,YAAI,QAAM,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE;AAAA,EAAC;AAAC;AAAhjB,IAAkjB,KAAG,OAAG,GAAG,mBAAmB,CAAC;AAA/kB,IAAilB,KAAG,OAAG,GAAG,mBAAmB,CAAC;AAA9mB,IAAgnB,KAAG,OAAG,GAAG,gBAAgB,CAAC;AAA1oB,IAA4oB,KAAG,CAAC,GAAE,MAAI,GAAG,gBAAgB,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAsB,KAAG;AAAzB,IAA2B,KAAG;AAA9B,IAA6C,KAAG;AAAmB,SAAS,KAAI;AAAC,MAAG,CAAC,EAAE,EAAE,QAAQ,YAAY;AAAE,UAAM,IAAI,MAAM,yFAAyF;AAAE,MAAI,IAAE,OAAO,UAAQ,cAAY,OAAK,QAAO,IAAE,EAAE,aAAW,EAAE,gBAAc,EAAE,mBAAiB,EAAE,eAAa,EAAE;AAAc,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,2DAA2D;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,IAAE,kBAAkB,IAAG,EAAC,SAAQ,YAAW,CAAC,GAAE,EAAE,kBAAkB,IAAG,EAAC,SAAQ,YAAW,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAK,YAAU,GAAG,GAAE,KAAG,QAAM,CAAC;AAAE,YAAM,IAAI,MAAM,gEAAgE;AAAE,SAAK,YAAU;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,0FAA0F;AAAE,WAAO,KAAK,eAAe,KAAK,WAAU,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,WAAO,KAAK,eAAe,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE;AAAO,YAAGA,OAAG,MAAK;AAAC,cAAI,IAAE,EAAE,YAAY,IAAG,UAAU,GAAE,IAAE,EAAE,YAAY,EAAE,EAAE,IAAI,KAAK,SAAS;AAAE,YAAE,YAAU,MAAI;AAAC,gBAAG,EAAE,UAAQ;AAAK,qBAAO,EAAE,MAAM,GAAE,EAAE,IAAI,MAAM,gCAAgC,KAAK,0BAA0B,CAAC;AAAE,cAAE,EAAE,OAAO,cAAc;AAAA,UAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,QAAC,OAAK;AAAC,cAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,EAAE,YAAY,IAAG,WAAW,GAAE,IAAE,EAAE,YAAY,EAAE,GAAE;AAAE,cAAG;AAAC,gBAAE,EAAE,IAAI,EAAC,WAAU,KAAK,WAAU,oBAAmB,EAAC,CAAC;AAAA,UAAC,SAAO,GAAN;AAAS,mBAAO,EAAE,CAAC;AAAA,UAAC;AAAC,cAAI;AAAE,YAAE,YAAU,MAAI;AAAC,gBAAE,EAAE,YAAY,IAAG,WAAW;AAAE,gBAAI,IAAE,EAAE,YAAY,EAAE,GAAE;AAAE,gBAAG;AAAC,kBAAE,EAAE,IAAI,EAAC,WAAU,KAAK,WAAU,gBAAeA,KAAE,oBAAmB,EAAC,CAAC;AAAA,YAAC,SAAO,GAAN;AAAS,qBAAO,EAAE,CAAC;AAAA,YAAC;AAAC,cAAE,YAAU,MAAI,EAAE,EAAC,oBAAmB,EAAC,CAAC,GAAE,EAAE,UAAQ,OAAG;AAAC,kBAAE,EAAE,YAAY,EAAE;AAAE,kBAAI,IAAE,EAAE,OAAO,KAAK,SAAS;AAAE,gBAAE,YAAU,OAAK,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK;AAAA,YAAE;AAAA,UAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI;AAAC,iBAAG,OAAK,EAAE,MAAM,IAAE,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAe,IAAI,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,GAAG,UAAU,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,YAAU,GAAG;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAEA,QAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,IAAE,EAAE,YAAY,IAAG,UAAU,GAAE,IAAE,EAAE,YAAY,EAAE,EAAE,OAAO;AAAE,UAAE,YAAU,MAAI;AAAC,cAAI,IAAE,CAAC;AAAE,mBAAQ,KAAK,EAAE;AAAO,cAAE,EAAE,SAAS,IAAE,EAAE;AAAmB,YAAE,CAAC;AAAA,QAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAEA,IAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAGA,IAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,WAAO,IAAE,GAAG,CAAC,GAAE,IAAI,QAAQ,CAACA,KAAE,MAAI;AAAC,UAAI,IAAE,KAAK,UAAU,KAAK,IAAG,EAAE;AAAE,QAAE,kBAAgB,MAAI,GAAG,CAAC,GAAE,EAAE,YAAU,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,IAAE,EAAE,YAAY,IAAG,WAAW,GAAE,IAAE,EAAE,YAAY,EAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE;AAAE,UAAE,YAAU,MAAI;AAAC,cAAG,EAAE,UAAQ;AAAK,mBAAO,EAAE,MAAM,GAAE,EAAE,IAAI,MAAM,gCAAgC,kBAAkB,CAAC;AAAE;AAAC,gBAAI,IAAE,EAAE,OAAO,CAAC,GAAE,IAAE,MAAI;AAAC,kBAAE,EAAE,YAAY,IAAG,WAAW;AAAE,kBAAI,IAAE,EAAE,YAAY,EAAE,EAAE,OAAO,CAAC;AAAE,gBAAE,YAAU,MAAIA,IAAE,EAAE,OAAO,kBAAkB,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,YAAC;AAAE,cAAE,YAAU,GAAE,EAAE,UAAQ,QAAI,EAAE,GAAE,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK;AAAA,UAAE;AAAA,QAAC,GAAE,EAAE,UAAQ,QAAI,EAAE,MAAM,GAAE,EAAE,EAAE,KAAK,IAAG,EAAE,aAAW,MAAI;AAAC,eAAG,OAAK,EAAE,MAAM,IAAE,EAAE,aAAW,MAAI,EAAE,MAAM;AAAA,QAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,EAAE,KAAK;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAAW,KAAG;AAAd,IAAoC,KAAG;AAAvC,IAA8C,KAAG;AAAjD,IAAkE,KAAG;AAArE,IAAoF,KAAG;AAAvF,IAAqG,KAAG;AAAiB,SAAS,GAAG,GAAE;AAAC,SAAM,EAAC,MAAK,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,UAAS,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,aAAY,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,YAAW,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,GAAE,eAAc,CAAC,IAAG,GAAE,EAAE,EAAE,KAAK,EAAE,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,WAAQ,KAAK,OAAO,OAAO,CAAC;AAAE,WAAO,aAAa,WAAW,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,EAAE;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,uBAAuB,GAAG;AAAE,SAAO,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,GAAG,UAAU,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,YAAY,KAAG,OAAO,UAAQ,eAAa,OAAO,OAAO,gBAAc;AAAY,YAAM,IAAI,MAAM,yDAAyD;AAAE,QAAG,KAAK,KAAG,OAAO,cAAa,KAAG,QAAM,CAAC;AAAE,YAAM,IAAI,MAAM,oEAAoE;AAAE,SAAK,YAAU,GAAE,KAAK,OAAK,GAAG,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,0FAA0F;AAAE;AAAC,UAAIA,MAAE,KAAK,UAAU,EAAE,aAAa,GAAE,IAAE,KAAK,UAAU,EAAE,WAAW,GAAE,IAAE,GAAG,CAAC;AAAE,UAAG;AAAC,aAAK,GAAG,QAAQ,KAAK,KAAK,MAAK,KAAK,UAAU,CAAC,CAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAASA,GAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAY,CAAC,GAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,YAAW,GAAG,EAAE,UAAU,CAAC;AAAE,YAAI,IAAE,EAAC,QAAO,EAAE,QAAO,aAAY,EAAE,aAAY,aAAY,EAAE,aAAY,WAAU,EAAE,aAAW,OAAK,EAAE,YAAU,QAAO,qBAAoB,EAAE,uBAAqB,OAAK,EAAE,sBAAoB,QAAO,kBAAiB,EAAE,oBAAkB,OAAK,EAAE,mBAAiB,QAAO,sBAAqB,EAAE,wBAAsB,OAAK,EAAE,uBAAqB,QAAO,gBAAe,EAAE,kBAAgB,OAAK,EAAE,iBAAe,OAAM;AAAE,eAAO,KAAK,GAAG,QAAQ,KAAK,KAAK,eAAc,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,oBAAmB,EAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,GAAG,KAAK,IAAI,GAAE,IAAI,MAAM,yBAAyB,KAAK,kHAAkH,EAAE,wCAAwC,EAAE,qCAAqC,EAAE,kBAAkB;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,IAAI,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,kDAAkD,KAAK,YAAY;AAAE,QAAG,EAAE,sBAAoB;AAAO,YAAM,IAAI,MAAM,2EAA2E;AAAE,QAAIA,MAAE,CAAC,GAAE,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,QAAQ,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,4CAA4C,KAAK,wBAAwB;AAAE,IAAAA,IAAE,gBAAc;AAAE,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,KAAK,KAAK,WAAW,CAAC;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,gDAAgD,KAAK,yBAAyB;AAAE,IAAAA,IAAE,cAAY;AAAE,QAAI,IAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,aAAa;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,MAAM,CAAC;AAAE,MAAAA,IAAE,SAAO,EAAE,QAAOA,IAAE,cAAY,EAAE,aAAYA,IAAE,cAAY,EAAE,aAAY,EAAE,aAAW,SAAOA,IAAE,YAAU,EAAE,YAAW,EAAE,uBAAqB,SAAOA,IAAE,sBAAoB,EAAE,sBAAqB,EAAE,oBAAkB,SAAOA,IAAE,mBAAiB,EAAE,mBAAkB,EAAE,wBAAsB,SAAOA,IAAE,uBAAqB,EAAE,uBAAsB,EAAE,kBAAgB,SAAOA,IAAE,iBAAe,EAAE;AAAA,IAAe;AAAC,QAAI,IAAE,KAAK,GAAG,QAAQ,KAAK,KAAK,UAAU;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,wDAAwD,KAAK,yBAAyB;AAAE,WAAOA,IAAE,aAAW,GAAG,CAAC,GAAEA;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAkB,IAAI,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,MAAE,EAAE,EAAE,QAAQ,YAAY,GAAE,MAAI,0CAA0C,GAAE,EAAE,OAAO,UAAQ,eAAa,OAAO,OAAO,gBAAc,aAAY,MAAI,yDAAyD,GAAE,KAAK,KAAG,OAAO;AAAA,EAAY;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAEA,MAAE,KAAG,IAAG,IAAE,KAAG;AAAG,aAAQ,IAAE,GAAE,IAAE,KAAK,GAAG,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,GAAG,IAAI,CAAC;AAAE,UAAG,EAAE,WAAWA,GAAC,KAAG,EAAE,SAAS,CAAC,GAAE;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,UAAE,CAAC,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQ,CAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,QAAE,GAAG,CAAC;AAAE,QAAIA,MAAE,GAAG,CAAC;AAAE,QAAG,KAAK,GAAG,QAAQA,IAAE,IAAI,KAAG;AAAK,YAAM,IAAI,MAAM,8BAA8B,IAAI;AAAE,QAAI,IAAE,KAAK,MAAM,KAAK,GAAG,QAAQA,IAAE,IAAI,CAAC;AAAE,WAAO,GAAGA,GAAC,GAAE;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAAa,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,WAAS,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,cAAa;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,gBAAgB,GAAEA,KAAE;AAAC,MAAE,KAAG,MAAK,MAAI,uCAAuC,GAAE,EAAE,SAAS,EAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE,QAAQ,EAAE,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qCAAqC;AAAE,QAAI,IAAE,GAAG,YAAY;AAAE,MAAE,EAAE,SAAS,CAAC,KAAG,MAAK,MAAI,2DAA2D,KAAK,GAAE,EAAE,SAAS,CAAC,IAAEA;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAE;AAAC,QAAIA,MAAE,GAAG,YAAY,EAAE,SAAS,CAAC;AAAE,QAAGA,OAAG;AAAK,YAAM,IAAI,MAAM,yCAAyC,IAAI;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,OAAO,aAAY;AAAC,WAAO,OAAO,KAAK,GAAG,YAAY,EAAE,QAAQ;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,QAAQ,EAAE,MAAI;AAAG,UAAM,IAAI,MAAM,6EAA6E,GAAG,WAAW,EAAE,KAAK,GAAG,GAAG;AAAE,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,EAAE,CAAC,GAAE,MAAK,EAAE,MAAM,EAAE,EAAE,CAAC,EAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,IAAE,MAAI,GAAE,MAAI,wCAAwC,IAAI;AAAE,MAAI,IAAE,GAAG,gBAAgB,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,kEAAkE,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,yCAAyC,EAAE,wCAAwC,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,gBAAgB,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,uEAAuE,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,yCAAyC,EAAE,6CAA6C,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,EAAE,QAAO,IAAE,GAAG,CAAC,EAAE,MAAK,IAAE,MAAI,GAAG,CAAC,EAAE,QAAO,IAAE,MAAM,EAAE,KAAK;AAAE,EAAAA,OAAG,KAAG,MAAM,GAAG,WAAW,CAAC,EAAE,YAAY,CAAC;AAAE,MAAI,IAAE,MAAM,EAAE,KAAK,CAAC;AAAE,SAAOA,OAAG,CAAC,KAAG,MAAM,GAAG,WAAW,CAAC,EAAE,YAAY,CAAC,GAAE,EAAE;AAAkB;AAAC,eAAe,KAAI;AAAC,MAAI,IAAE,GAAG,WAAW,GAAE,IAAE,CAAC;AAAE,WAAQA,OAAK,GAAE;AAAC,QAAI,IAAE,MAAM,GAAG,WAAWA,GAAC,EAAE,WAAW;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAI,IAAEA,MAAE,KAAG;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,GAAG,WAAW,EAAE,MAAM,EAAE,YAAY,EAAE,IAAI;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,KAAE;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,IAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,cAAY,oBAAmB,KAAK,eAAa,CAAC,GAAE,KAAK,sBAAoB,GAAE,KAAK,mBAAiB;AAAA,EAAE;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,WAAO,MAAM,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAK;AAAC,WAAO,YAAY,IAAI;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,QAAI,WAASA,QAAI;AAAO,YAAM,IAAI,MAAM,kDAAkDA,KAAG;AAAE,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAI,gBAAa,KAAK,YAAY,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,WAAO,IAAI,YAAYA,GAAC,EAAE,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,QAAG,OAAO,UAAQ,eAAa,CAAC,EAAE,EAAE,QAAQ,sBAAsB,GAAE;AAAC,iBAAW,GAAEA,GAAC;AAAE;AAAA,IAAM;AAAC,SAAK,aAAa,KAAK,CAAC,GAAE,WAAW,MAAI;AAAC,aAAO,YAAY,EAAC,MAAK,KAAK,aAAY,OAAM,KAAK,aAAa,SAAO,EAAC,GAAE,GAAG;AAAA,IAAC,GAAEA,GAAC,GAAE,KAAK,qBAAmB,KAAK,mBAAiB,MAAG,OAAO,iBAAiB,WAAU,OAAG;AAAC,UAAG,EAAE,WAAS,UAAQ,EAAE,KAAK,SAAO,KAAK,aAAY;AAAC,UAAE,gBAAgB;AAAE,YAAI,IAAE,KAAK,aAAa,EAAE,KAAK,KAAK;AAAE,UAAE,GAAE,KAAK,uBAAsB,KAAK,wBAAsB,KAAK,aAAa,WAAS,KAAK,eAAa,CAAC,GAAE,KAAK,sBAAoB;AAAA,MAAE;AAAA,IAAC,GAAE,IAAE;AAAA,EAAE;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,GAAG,CAAC;AAAA,EAAC;AAAC;AAAE,IAAG,EAAE,EAAE,IAAI,YAAY,GAAE;AAAC,IAAE,EAAE,YAAY,WAAU,IAAI,IAAE;AAAE,MAAG;AAAC,OAAG,gBAAgB,GAAG,YAAW,IAAI,IAAE;AAAA,EAAC,SAAO,GAAN;AAAA,EAAS;AAAC,MAAG;AAAC,OAAG,gBAAgB,GAAG,YAAW,IAAI,IAAE;AAAA,EAAC,SAAO,GAAN;AAAA,EAAS;AAAC;AAAC,IAAI,KAAG,EAAC,aAAY,MAAI,GAAG,EAAC;AAA5B,IAA8B;AAAG,IAAI,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,OAAK,GAAG,GAAE,KAAK,cAAY,IAAI,KAAK,KAAK;AAAA,EAAW;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,WAAO,EAAE,EAAE,OAAO,SAAO,OAAK,EAAE,EAAE,OAAO,MAAM,GAAEA,GAAC,KAAG,MAAI,SAAO,KAAG,GAAG,YAAY,IAAG,GAAG,GAAEA,GAAC;AAAA,EAAE;AAAA,EAAC,MAAK;AAAC,QAAI,IAAE,QAAQ,OAAO;AAAE,WAAO,EAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAA,EAAG;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,QAAI,WAASA,QAAI;AAAO,YAAM,IAAI,MAAM,sDAAsDA,KAAG;AAAE,WAAO,KAAK,YAAY,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,WAAO,EAAE,WAAS,IAAE,KAAG,IAAI,KAAK,KAAK,YAAYA,GAAC,EAAE,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,KAAK,MAAM,eAAe,CAAC,KAAG,KAAK,KAAK,MAAM,aAAa,CAAC,KAAG,KAAK,KAAK,MAAM,aAAa,CAAC,KAAG,KAAK,KAAK,MAAM,oBAAoB,CAAC;AAAA,EAAC;AAAC;AAAE,EAAE,EAAE,IAAI,SAAS,KAAG,CAAC,EAAE,EAAE,IAAI,YAAY,KAAG,EAAE,EAAE,YAAY,QAAO,IAAI,IAAE;AAAE,SAAS,GAAG,GAAE,IAAE,WAAUA,KAAE;AAAC,SAAO,IAAE,KAAG,WAAU,GAAG,CAAC,GAAE,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAG,CAAC,GAAG,CAAC;AAAE,UAAM,IAAI,MAAM,mCAAmC,GAAG;AAAE,MAAG,MAAI,YAAUA,IAAE,UAAQ,YAAU,MAAI,YAAUA,IAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,uCAAuC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,UAAQ,IAAI,EAAE,SAAS,CAAC,CAAC;AAAC;AAAC,GAAG;AAAE,IAAI,KAAG,EAAC,QAAO,IAAG,MAAK,IAAG,OAAM,IAAG,OAAM,GAAE;AAAE,GAAG,EAAE;AAAE,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,QAAO,IAAE;AAAC;AAAC,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,SAAQ,IAAE;AAAC;AAAC,SAAS,MAAK;AAAC,IAAE,EAAE,IAAI,gCAA+B,KAAE,GAAE,QAAQ,KAAK,wDAAwD;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,QAAQ,8BAA8B,KAAG,QAAQ,KAAK,IAAE,6EAA6E;AAAC;AAAC,GAAG,EAAE;AAAE,SAAS,MAAK;AAAC,IAAE,iBAAiB;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE,OAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,KAAK,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,KAAG,CAAC,EAAE,QAAQ,CAAAA,QAAGA,IAAE,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,KAAK,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,KAAK,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,WAAW,CAAC;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE,MAAM;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE;AAAW;AAAC,SAAS,IAAI,GAAE;AAAC,IAAE,cAAc,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,YAAY,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,EAAE,mBAAmB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,gBAAgB,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,MAAK;AAAC,SAAO,EAAE;AAAO;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,IAAE,EAAE,YAAY,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,UAAU,GAAE,IAAE,EAAE,GAAE,KAAI,UAAU;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,CAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAAS,EAAE,UAAQ;AAAQ,WAAO,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC,GAAE,IAAE,CAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,WAAO,EAAE,UAAU,IAAGA,GAAC;AAAA,EAAC,OAAK;AAAC,QAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,WAAO,EAAE,UAAU,IAAGA,GAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,MAAM,QAAQ,CAAC,GAAE,MAAI,4DAA4D,GAAE,EAAE,EAAE,UAAQ,GAAE,MAAI,uDAAuD,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,MAAM,CAAC,GAAEA,MAAE,EAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAG,EAAE,UAAQA,IAAE;AAAM,YAAM,IAAI,MAAM,0DAA0D;AAAA,EAAC,CAAC,GAAE,EAAE,QAAQ,OAAG;AAAC,QAAG,CAAC,GAAG,EAAE,OAAMA,IAAE,KAAK;AAAE,YAAM,IAAI,MAAM,0DAA0D;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,KAAI,OAAO;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,CAAC,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,MAAK,MAAK,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,gBAAe;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE;AAAE,MAAG,MAAI;AAAe,QAAE,CAAC,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,WAAU,MAAI;AAAgB,QAAE,CAAC,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAG,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE;AAAE,MAAG,MAAI;AAAQ,QAAE,gBAAe,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,iBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,OAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,OAAG,IAAE,gBAAe;AAAC,MAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,IAAG,EAAE;AAAE,MAAG,MAAI;AAAe,KAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA,WAAU,MAAI;AAAgB,KAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,MAAG,CAAC,GAAE,GAAE,EAAC,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE;AAAE,SAAO,MAAI,kBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,mBAAiB,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAG,EAAC,WAAU,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,aAAY,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,uBAAsB,GAAE,sBAAqB,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,GAAE,UAAS,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,gBAAe,GAAE;AAAC,MAAG,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,MAAG,MAAI;AAAe,KAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA,WAAU,MAAI;AAAgB,KAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB,GAAG;AAAE,MAAG,CAAC,GAAE,GAAE,GAAE,EAAC,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,EAAC,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE;AAAE,SAAO,MAAI,kBAAgB,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,mBAAiB,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAG,EAAC,WAAU,GAAE,YAAW,GAAE,SAAQ,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,GAAE,aAAY,GAAE,SAAQ,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,sBAAqB,GAAE,uBAAsB,GAAE,sBAAqB,GAAE,eAAc,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,GAAE,UAAS,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAG,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,CAAC,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,GAAE,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,IAAE,IAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,IAAE,GAAE,CAAC;AAAG,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,KAAK,OAAO,EAAE,CAAC,KAAGA,MAAE,KAAGA,MAAE,KAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,WAAS,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,KAAG,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,GAAE,GAAE;AAAE,MAAG,OAAO,KAAG,UAAS;AAAC,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,MAAI,IAAE,UAAQ,SAAQ;AAAE,QAAI,IAAE,GAAG,CAAC,GAAEA,GAAC,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,QAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC,WAAS,MAAI,QAAO;AAAC,QAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,MAAE,CAAC;AAAE,QAAI,IAAE,KAAK,IAAI,IAAG,IAAE,KAAG,IAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,IAAG,IAAE,KAAG,IAAE,IAAEA,GAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,OAAM;AAAA,EAAC,WAAS,MAAI;AAAQ,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,QAAO,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,KAAG,CAAC,GAAE,IAAE,KAAK,MAAMA,MAAE,IAAE,KAAG,CAAC;AAAA,WAAU,OAAO,KAAG,UAAS;AAAC,QAAI,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAI,iBAAe,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,MAAI,KAAG,MAAI,KAAG,MAAI,KAAG,MAAI,IAAE,UAAQ,WAAU,GAAE,IAAE,IAAI,IAAE,IAAE,IAAE,KAAG,IAAE,GAAE,CAAC,GAAE,IAAE,IAAIA,MAAE,IAAE,IAAE,KAAG,IAAE,GAAE,CAAC;AAAA,EAAC;AAAM,UAAM,MAAM,8BAA8B,GAAG;AAAE,SAAM,EAAC,SAAQ,GAAE,WAAU,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,GAAE,GAAE,GAAE;AAAE,MAAG,MAAI,YAAU,IAAE,IAAG,OAAO,KAAG,UAAS;AAAC,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,OAAM,GAAE,MAAK,GAAE,MAAK,MAAI,IAAE,UAAQ,SAAQ;AAAE,QAAI,IAAE,GAAG,CAAC,GAAEA,KAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC,WAAS,MAAI,QAAO;AAAC,QAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,MAAE,CAAC,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC;AAAE,QAAI,KAAG,IAAE,KAAG,IAAE,IAAE,GAAE,KAAG,IAAE,KAAG,IAAE,IAAEA,KAAE,KAAG,IAAE,KAAG,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,QAAE,EAAC,KAAI,GAAE,QAAO,GAAE,MAAK,GAAE,OAAM,GAAE,OAAM,GAAE,MAAK,GAAE,MAAK,OAAM;AAAA,EAAC;AAAM,UAAM,MAAM,8BAA8B,GAAG;AAAE,SAAM,EAAC,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAAC;AAAE,WAAO,KAAK,MAAM,CAAC;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAQ,aAAO,KAAK,MAAM,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,KAAK,KAAK,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAO,KAAK,MAAM,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,wBAAwB,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,CAAC,GAAEA,KAAE,CAAC,IAAE,GAAG,CAAC;AAAE,SAAO,MAAI,KAAGA,QAAI,KAAG,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,CAAC,KAAG,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC,EAAE,MAAM,OAAG,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAO,WAAM;AAAe,MAAG,MAAI;AAAO,WAAM;AAAgB,QAAM,IAAI,MAAM,sBAAsB,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,MAAK;AAAC,QAAG,OAAO,KAAG;AAAS,YAAM,MAAM,YAAY,wDAAwDA,mBAAiB,IAAI;AAAE,QAAG,OAAO,KAAG;AAAS,QAAE,GAAG,CAAC,GAAE,MAAI,YAAY,wDAAwDA,mBAAiB,IAAI;AAAA,aAAU,OAAO,KAAG;AAAS,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ,OAAG;AAAC,YAAE,GAAG,CAAC,GAAE,MAAI,YAAY,wDAAwDA,mBAAiB,IAAI;AAAA,QAAC,CAAC;AAAA,MAAC,CAAC;AAAA;AAAO,YAAM,MAAM,YAAY,iCAAiC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,IAAE,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAU,SAAS,GAAE,IAAE;AAAE,IAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,wEAAwEA,sBAAoB,IAAI;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,OAAO,GAAE,GAAG,WAAU,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,aAAY,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,EAAE,MAAI,SAAQ,MAAI,gFAAgF,GAAG,GAAE,EAAE,OAAOA,OAAG,YAAUA,MAAE,KAAG,MAAM,QAAQA,GAAC,KAAGA,IAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,IAAE,GAAE,MAAI,oDAAoDA,MAAI,GAAE,GAAG,aAAY,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,GAAE,MAAI,oCAAoC;AAAE,MAAIA,MAAE,GAAG,GAAE,WAAU,UAAS,mBAAmB;AAAE,MAAGA,IAAE,CAAC,EAAE,UAAQ,eAAaA,IAAE,QAAQ,OAAG;AAAC,QAAG,EAAE,UAAQ;AAAY,YAAM,IAAI,MAAM;AAAA,uBACphyD,EAAE,SAAS;AAAA,EAAC,CAAC,GAAEA,IAAE,WAAS;AAAE,WAAO,GAAGA,IAAE,CAAC,CAAC;AAAE,MAAI,IAAEA,KAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,KAAI,QAAQ;AAAE,GAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,IAAE,EAAC,YAAWA,KAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAU,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gCAAgC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,cAAa,eAAe,GAAE,IAAE,EAAE,GAAE,cAAa,eAAe,GAAE,IAAE,EAAEA,KAAE,YAAW,eAAe,GAAE,IAAE,EAAE,GAAE,QAAO,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe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gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAgB,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC;AAAE,IAAE,EAAE,QAAM,IAAE,EAAE,QAAO,MAAI,iBAAiB,EAAE,+CAA+C,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,EAAE,QAAO,MAAI,mBAAmBA,IAAE,oDAAoD,EAAE,QAAQ,GAAE,EAAE,EAAE,MAAM,CAAC,IAAE,MAAI,GAAE,MAAI,yBAAyB,EAAE,MAAM,CAAC,uEAAuE,EAAE,KAAK,KAAK,SAAS,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI;AAAE,SAAO,EAAE,SAAO,KAAG,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,GAAE,EAAE,IAAI,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE;AAAM,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,EAAE,MAAK,MAAI,8EAA8E,GAAE,EAAE,KAAG,QAAM,EAAE,SAAO,EAAE,MAAK,MAAI,4EAA4E,GAAE,EAAE,KAAG,QAAM,EAAE,SAAO,EAAE,MAAK,MAAI,2EAA2E;AAAE,MAAI,IAAE,EAAC,GAAE,GAAG,CAAC,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,GAAE,IAAE,EAAC,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,EAAE,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,QAAO,WAAW,GAAE,IAAE,EAAEA,KAAE,YAAW,WAAW,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,SAAQ,WAAW;AAAG,MAAI;AAAE,SAAO,KAAG,SAAO,IAAE,EAAE,GAAE,UAAS,WAAW,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,oEAAoE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,wEAAwE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,qEAAqE,EAAE,OAAO,GAAE,KAAG,QAAM,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAU,GAAE,IAAE,EAAE,GAAE,WAAU,UAAU;AAAE,IAAE,EAAE,UAAQ,SAAQ,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAEA,OAAG,GAAE,MAAI,sCAAsCA,MAAI,GAAE,EAAE,EAAE,SAAO,EAAE,QAAM,EAAE,SAAO,GAAE,MAAI,gGAAgG,EAAE,yBAAyB,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,YAAY,GAAE,IAAE,EAAE,GAAE,KAAI,YAAY;AAAE,MAAG,CAAC,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,UAAM,IAAI,MAAM,oDAAoDA,IAAE,aAAa,EAAE,OAAO;AAAE,MAAGA,IAAE,UAAQ,WAAS,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,wEAAwEA,IAAE,wBAAwB,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,MAAK,iBAAgB,OAAO;AAAE,MAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oEAAoEA,IAAE,MAAM;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM;AAAE,MAAI,IAAE,EAAC,IAAGA,KAAE,IAAG,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,eAAc,GAAG,GAAE,IAAEA,IAAE;AAAM,MAAG,GAAG,CAAC,GAAE,EAAE,SAAOA,IAAE;AAAK,UAAM,IAAI,MAAM,+BAA+B,EAAE,uBAAuBA,IAAE,OAAO;AAAE,MAAG,EAAE,SAAOA,IAAE,MAAK;AAAC,QAAI,IAAEA,IAAE,MAAM,MAAM;AAAE,WAAK,EAAE,SAAO,EAAE;AAAQ,QAAE,QAAQ,CAAC;AAAE,IAAAA,MAAE,EAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,OAAM,IAAE,MAAM,KAAK,CAAC;AAAE,WAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE;AAAI,QAAG,EAAE,CAAC,MAAI,EAAE,CAAC;AAAE,QAAE,CAAC,IAAE;AAAA,aAAUA,IAAE,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,mBAAmB,8BAA8B,KAAK;AAAE,MAAG,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,EAAE,EAAE,OAAO,OAAG,KAAG,CAAC,EAAE,WAAS;AAAE,WAAO,GAAGA,GAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,CAAC,GAAEA,MAAEA,OAAG,GAAG,CAAC;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,aAAa;AAAE,MAAG,EAAE,KAAGA,KAAE,MAAI,uBAAuB,yCAAyCA,OAAK,GAAE,MAAIA;AAAE,WAAO,GAAG,EAAE,OAAM,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,cAAa,GAAE,cAAaA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,UAAS,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,GAAG,UAAS,GAAE,CAAC;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,mDAAmD;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAM,IAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,UAAS,QAAQ,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,GAAG,UAAS,GAAE,CAAC,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,MAAM,CAAC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,oEAAoEA,qBAAmB,IAAI,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,kDAAkD,GAAE,EAAE,MAAI,OAAM,MAAI,sCAAsC,wCAAwC;AAAE,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,GAAC,GAAE,GAAE,QAAO,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,QAAO,GAAE;AAAC,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,sBAAsB,EAAE,2BAA2B,EAAE,kBAAkB;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,EAAE,EAAE,WAAS,GAAE,MAAI,qEAAqE,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,MAAM,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,gEAAgEA,IAAE,MAAM;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,MAAM,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,6CAA6C,yCAAyCA,IAAE,MAAM,CAAC,IAAI,GAAE,GAAG,kBAAiB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,UAAS,iBAAiB;AAAE,SAAO,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,QAAO,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,SAAQ,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,UAAS,QAAQ,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,wDAAwD,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,MAAM,CAAC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI,GAAE,EAAE,MAAI,SAAQ,MAAI,sCAAsC,0CAA0C,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,yDAAyD,GAAE,EAAE,GAAGA,GAAC,GAAE,MAAI,mDAAmD;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,sBAAsB,EAAE,2BAA2B,EAAE,kBAAkB;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,WAAS,GAAE,MAAI,qEAAqE,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,MAAM,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,gEAAgEA,IAAE,MAAM,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,MAAM,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,MAAM,CAAC,GAAE,MAAI,6CAA6C,yCAAyCA,IAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,UAAS,iBAAiB;AAAE,SAAO,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAS,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,WAAUA,KAAE,SAAQ,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAQ,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,WAAUA,KAAE,SAAQ,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,WAAU,eAAe;AAAE,IAAE,EAAE,UAAQ,SAAQ,MAAI,8DAA8D,EAAE,OAAO,GAAE,EAAE,EAAE,QAAM,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,EAAEA,OAAG,GAAE,MAAI,sCAAsCA,MAAI,GAAE,EAAE,EAAE,SAAO,EAAE,QAAM,EAAE,SAAO,GAAE,MAAI,+FAA+F,EAAE,yBAAyB,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,KAAE,cAAa,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAe,SAAS,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,QAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,IAAE,GAAE,MAAI,sDAAsD,GAAG,GAAE,EAAE,IAAE,KAAG,GAAE,MAAI;AAAA,MACltb,SAAS;AAAA,MACT,EAAE,OAAO,GAAE,EAAE,IAAE,KAAG,GAAE,MAAI;AAAA,MACxB,SAAS;AAAA,UACL,EAAE,OAAO,GAAE,EAAE,KAAG,IAAE,OAAK,GAAE,MAAI,8CAA8C,IAAE,YAAY,uCAAuC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,WAAU,GAAE,YAAWA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,mBAAkB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAkB,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,iEAAiE,EAAE,OAAO;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,uDAAuD,oDAAoD,EAAE,MAAM,CAAC,IAAI,GAAE,GAAG,mBAAkB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,YAAY,GAAE,IAAE,EAAE,GAAE,UAAS,YAAY;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4DAA4D,EAAE,OAAO,GAAE,EAAE,MAAI,QAAO,MAAI,gFAAgF,GAAG;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,OAAI,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,oEAAoE,EAAE,MAAM,CAAC,QAAQ,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,4BAA2B,MAAI,IAAG,kBAAiB,MAAI,IAAG,kBAAiB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,KAAI;AAAC,QAAI,IAAEA,MAAE,IAAE,GAAE,IAAE,EAAE,CAAC,KAAG;AAAE,KAAC,EAAE,EAAE,SAAO,IAAE,CAAC,KAAG,KAAG,KAAG,MAAI,KAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC,GAAE,IAAE,EAAE,SAAO,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,KAAC,KAAG,QAAM,MAAI,KAAG,IAAE,MAAIA,IAAE,QAAQ,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,KAAK,IAAI,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,IAAI,MAAMA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,KAAI;AAAC,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC;AAAE,SAAG,SAAO,IAAE;AAAG,QAAI,IAAE,EAAE,EAAE,SAAO,IAAE,CAAC;AAAE,QAAG,KAAG,SAAO,IAAE,IAAG,MAAI;AAAE,QAAEA,MAAE,IAAE,CAAC,IAAE;AAAA,aAAU,MAAI;AAAE,QAAEA,MAAE,IAAE,CAAC,IAAE;AAAA,aAAU,MAAI,GAAE;AAAC,UAAI,IAAE,wDAAwD,SAAS;AAAK,YAAM,MAAM,CAAC;AAAA,IAAC;AAAM,QAAEA,MAAE,IAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,SAAQ,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAEA,KAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,aAAY,SAAQ,MAAM,GAAE,IAAE,GAAG,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,KAAK,GAAE,IAAE,EAAE,GAAE,MAAK,KAAK;AAAE,KAAGA,IAAE,SAAO,KAAGA,IAAE,SAAO,OAAK,EAAE,SAAO,KAAG,EAAE,SAAO,IAAG,MAAI,+DAA+DA,IAAE,YAAY,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAO,IAAEA,IAAE,OAAKA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,SAAO,IAAE,EAAE,OAAK,EAAE,MAAM,CAAC;AAAE,MAAG,EAAE,MAAI,GAAE,MAAI,gEAAgE,SAAS,IAAI,GAAEA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAEA,KAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,CAAC;AAAA,EAAC,WAASA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAEA,KAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC;AAAA,EAAC,WAASA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAE,WAAO,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,MAAK,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,QAAQ,CAAC,GAAE,IAAE,EAAC,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,eAAc,mBAAmB;AAAE,MAAG,CAAC,GAAGA,IAAE,OAAM,CAAC;AAAE,UAAM,IAAI,MAAM,gCAAgCA,IAAE,+CAA+C,GAAG;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,UAAQ,WAAU,MAAI,2CAA2C,GAAE,EAAE,UAAQ,YAAU,IAAE,GAAG,GAAE,SAAS;AAAG,MAAIA,MAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA;AAAE,QAAG,EAAE,EAAE,SAAOA,MAAE,CAAC,MAAI,IAAE,IAAEA;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAO,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,IAAE,QAAQ,CAAC,MAAI,KAAG,EAAE,KAAK,EAAE,GAAG,CAAC,IAAE,EAAE,KAAK,EAAE,GAAG,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,QAAQ,CAAC,MAAI,MAAIA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC;AAAE,SAAM,CAACA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAI,OAAG,CAAC;AAAE,SAAO,GAAG,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,GAAG,GAAEA,GAAC,GAAE,MAAI,GAAG,qDAAqD,cAAcA,YAAU;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,CAAC;AAAE,WAAO;AAAK,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAIA,IAAE,KAAK,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,KAAK,CAAC,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,CAAC,GAAEA,QAAI,CAACA,KAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAEA,QAAI,EAAE,CAAC,IAAEA,IAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,KAAK,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC,GAAE,IAAE,EAAC,kBAAiB,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,QAAO,KAAK,GAAE,IAAE,EAAE,GAAE,OAAM,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,OAAI,GAAG,CAAC,KAAG,MAAI,YAAU,MAAM,QAAQ,CAAC,MAAI,MAAI;AAAY,UAAM,IAAI,MAAM,gFAAgF;AAAE,MAAG,MAAI,YAAU,GAAG,CAAC,KAAG,EAAE,aAAa;AAAY,UAAM,IAAI,MAAM,2EAA2E;AAAE,SAAO,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,QAAO,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAEA,MAAE,CAAC;AAAE,SAAO,EAAE,UAAU,UAAS,EAAC,GAAE,EAAC,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,IAAE,UAAQ,WAAS,IAAE,GAAG,GAAE,OAAO;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,aAAYA,MAAE,MAAK,IAAE,OAAG;AAAC,MAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE;AAAM,MAAG,GAAE;AAAC,QAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,QAAE,GAAG,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAK;AAAC,MAAG,EAAE,SAAO;AAAE,WAAO,GAAG,CAAC;AAAE,MAAG,EAAE,SAAO,KAAGA,QAAI;AAAK,WAAO,GAAG,EAAE,GAAE,CAAC,EAAE,CAAC,GAAE,GAAEA,GAAC;AAAE,MAAG,EAAE,SAAO,KAAG,OAAOA,OAAG,YAAU,MAAM,QAAQA,GAAC,KAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,MAAI;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,IAAE;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,KAAG;AAAE,aAAO,GAAG,GAAG,CAAC,GAAEA,GAAC;AAAE,QAAG,MAAI,eAAa,MAAI;AAAE,aAAO,GAAG,GAAG,GAAG,GAAG,CAAC,GAAE,GAAG,GAAE,OAAO,CAAC,GAAEA,GAAC,CAAC;AAAE,UAAM,IAAI,MAAM,qCAAqC,GAAG;AAAA,EAAC;AAAC,MAAG,MAAM,QAAQA,GAAC,KAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,MAAI;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,IAAE,CAAC;AAAE,QAAG,MAAI,IAAE;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,MAAI,KAAG;AAAE,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,IAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,MAAI,SAAO,MAAI;AAAY,aAAO,GAAG,GAAG,GAAG,CAAC,GAAEA,GAAC,CAAC;AAAE,UAAM,IAAI,MAAM,qCAAqC,GAAG;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,gCAAgCA,KAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,SAAO,GAAG,GAAE,aAAY,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,mBAAmB;AAAE,IAAE,KAAGA,IAAE,MAAK,MAAI,oCAAoC;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC,GAAE,IAAE,EAAC,KAAI,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB;AAAE,IAAEA,IAAE,SAAO,EAAE,QAAO,MAAI,qCAAqCA,IAAE,kCAAkC,IAAI;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,WAAU;AAAC,OAAG,SAAO,IAAE;AAAG,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,IAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,IAAI,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,SAAS,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,MAAGA,OAAG;AAAK,WAAO;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,WAAO,GAAG,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,qEAAqEA,IAAE,UAAU;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,QAAQ,GAAE,IAAE,EAAE,GAAE,WAAU,UAAS,OAAO,GAAE,IAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,MAAKA,KAAE,WAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,OAAM,EAAE,GAAE,SAAQ,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,WAAW,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,QAAO,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,aAAY,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,aAAY,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG;AAAE,UAAM,IAAI,MAAM,0CAA0C;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAIA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,IAAE,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,4BAA4B;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI;AAAA,sBACjlU,EAAE,OAAO,GAAE,EAAE,GAAG,CAAC,GAAE,MAAI,2FAA2F,IAAI;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,aAAY,GAAE,MAAKA,KAAE,OAAM,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,6BAA4B,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,4CAA4C,GAAE,CAAC,GAAEA,QAAI;AAAC,QAAI,IAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB,GAAE,IAAEA,OAAG,OAAK,EAAEA,KAAE,MAAK,SAAS,IAAE;AAAK,WAAO,EAAE,KAAK,MAAI;AAAC,UAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,aAAO,KAAG,QAAM,GAAG,EAAE,OAAM,EAAE,OAAM,gFAAgF,GAAE,GAAG,CAAC,GAAE,EAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,6CAA6C,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,MAAM,QAAQ,CAAC,GAAE,MAAI,kFAAkF;AAAE,QAAI,IAAE,GAAG,GAAE,QAAO,YAAW,mBAAmB,GAAE,IAAEA,OAAG,OAAK,EAAEA,KAAE,MAAK,UAAU,IAAE;AAAK,WAAO,EAAE,KAAK,MAAI;AAAC,UAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,GAAG,CAAC,GAAE,GAAE,CAAC;AAAE,aAAO,KAAG,QAAM,GAAG,EAAE,OAAM,EAAE,OAAM,+FAA+F,GAAE,GAAG,CAAC,GAAE;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,oDAAoD,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,aAAa,IAAG,MAAI,qDAAqD,GAAE,EAAEA,OAAG,QAAMA,eAAa,IAAG,MAAI,0DAA0D;AAAE,QAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,MAAI,EAAE,CAAC,GAAE,CAAC,CAAC,GAAEA,GAAC;AAAE,WAAO,GAAG,CAAC,GAAE,EAAC,MAAK,EAAE,CAAC,GAAE,OAAM,EAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,GAAG,CAAC,GAAE,MAAI,qDAAqD,GAAE,CAAC,GAAEA,QAAI;AAAC,MAAE,MAAM,QAAQ,CAAC,KAAG,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,oEAAoE,GAAE,EAAEA,OAAG,QAAMA,eAAa,IAAG,MAAI,8DAA8D;AAAE,QAAI,IAAE,EAAE,UAAU,MAAI,EAAE,GAAG,CAAC,GAAE,GAAEA,GAAC;AAAE,WAAOA,OAAG,QAAM,GAAG,EAAE,MAAM,OAAMA,IAAE,OAAM,uGAAuG,GAAE,GAAG,EAAE,KAAK,GAAE;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,GAAG,CAAC,GAAE,MAAI,qDAAqD,GAAE,EAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,MAAM,OAAG,aAAa,EAAE,GAAE,MAAI,+EAA+E;AAAE,MAAIA,MAAE,KAAG;AAAK,MAAG,CAACA,KAAE;AAAC,QAAE,CAAC;AAAE,aAAQ,KAAK,EAAE;AAAoB,QAAE,KAAK,EAAE,oBAAoB,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,MAAE,EAAE,OAAO,OAAG,CAAC,EAAE,SAAS,IAAE,MAAK,IAAE,EAAE;AAAO,MAAE,EAAE,OAAO,OAAG,EAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,gGAAgG,2BAA2B;AAAE,MAAI,IAAE,MAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,EAAE,UAAU,GAAE,GAAE,MAAK,CAAC;AAAE,IAAE,EAAE,KAAK,OAAG,KAAG,IAAI,GAAE,MAAI,8LAA8L,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,iFAAiF,EAAE,aAAa;AAAE,MAAI,IAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,CAAC,KAAG,SAAO,EAAE,EAAE,IAAI,IAAE,EAAE,CAAC;AAAA,EAAE,CAAC,GAAE,KAAG,QAAM,EAAE,QAAQ,OAAG,EAAE,EAAE,IAAI,IAAE,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAW,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,OAAO,CAAAA,QAAGA,OAAG,IAAI,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,oEACryG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,KAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,YAAY;AAAE,SAAO,GAAG,QAAI,EAAC,OAAM,GAAG,GAAG,GAAG,CAAC,CAAC,CAAC,GAAE,UAAS,OAAG,GAAG,GAAE,GAAG,GAAG,CAAC,CAAC,CAAC,EAAC,EAAE,EAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,IAAG;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,YAAY;AAAE,MAAG,MAAI,OAAK,IAAEA,IAAE,OAAK,IAAG,MAAIA,IAAE,OAAK;AAAE,UAAM,MAAM,gFAAgFA,IAAE,qBAAqB,GAAG;AAAE,SAAO,GAAG,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,SAAS,GAAE,GAAG,GAAG,GAAG,CAAC,GAAE,GAAE,IAAE,CAAC,CAAC;AAAE,WAAO,EAAE,CAAC,CAAC,CAAC,GAAE,EAAC,OAAM,GAAE,UAAS,CAAC,GAAE,MAAI;AAAC,UAAG,CAAC,CAAC,IAAE,GAAE,IAAE,MAAG,IAAE,GAAG,CAAC;AAAE,aAAO,GAAG,GAAE,GAAG,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC,CAAC,EAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,GAAE,EAAE,KAAK,GAAE,CAAC;AAAE,MAAGA,KAAE;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,cAAa,MAAM;AAAE,KAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,cAAa,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,aAAY,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,aAAY,MAAM;AAAE,KAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,cAAa,MAAM,GAAE,IAAE,EAAE,GAAE,KAAI,cAAa,MAAM;AAAE,SAAO,GAAGA,IAAE,OAAM,EAAE,KAAK,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAG,GAAE,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG;AAAW,SAAS,GAAG,GAAE,GAAEA,MAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,kBAAiB,cAAc,GAAE,IAAE,EAAE,GAAE,UAAS,cAAc,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,sDAAsD;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,GAAG,EAAE,KAAK,KAAG;AAAG,UAAM,IAAI,MAAM,qCAAqC,IAAI;AAAE,MAAG,EAAE,MAAM,CAAC,KAAG;AAAG,UAAM,IAAI,MAAM,oCAAoC,iCAAiC,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,uDAAuD,EAAE,OAAO,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,wEAAwEA,sBAAoB,IAAI,GAAE,GAAG,WAAU,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAEA,KAAE,GAAE,GAAE,IAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,EAAE,MAAI,SAAQ,MAAI,gFAAgF,GAAG,GAAE,GAAG,aAAY,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,mBAAmB,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,SAAQA,KAAE,KAAI,GAAE,qBAAoB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,CAAC,GAAE,SAAQ,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAASA,MAAE,GAAGA,KAAE,OAAO,GAAE,IAAE,GAAG,GAAE,OAAO,IAAG,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,WAAU;AAAC,MAAG,GAAG,CAAC,GAAE,MAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,SAAS;AAAE,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAIA,MAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,SAAO,EAAE,WAAWA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,WAAU;AAAC,MAAG,GAAG,CAAC,GAAE,MAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,SAAS;AAAE,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAIA,MAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,SAAO,EAAE,WAAWA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE,EAAC,UAASA,MAAE,KAAI,IAAE,CAAC,GAAE;AAAC,MAAGA,QAAI,QAAMA,QAAI;AAAK,UAAM,IAAI,UAAU,GAAGA,+CAA6C;AAAE,MAAG,MAAI;AAAO,WAAM,CAAC;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,YAAW,aAAa,KAAG,EAAE,QAAM,SAAS;AAAE,MAAG,MAAI;AAAO,WAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,YAAW,aAAa,KAAG,EAAE,QAAM,SAAS,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAE,KAAK;AAAE,SAAOA,QAAI,QAAM,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,CAAC,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,CAAC,GAAE,GAAG,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,CAAC,MAAI,IAAE,EAAE,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAG,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,CAAC,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAEA,IAAE,UAAQ,WAASA,MAAE,GAAGA,KAAE,OAAO,GAAE,IAAE,GAAG,GAAE,OAAO,IAAG,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAEA,QAAI,aAAWA,QAAI,aAAY,MAAI,+DAA+DA,MAAI;AAAE,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,IAAE,EAAE,WAAS,EAAE,MAAK,MAAI,wCAAwC,EAAE,aAAa,EAAE,SAAS;AAAE,MAAI,IAAEA,QAAI,YAAU,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,MAAE,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,EAAE,EAAE,CAAC,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,EAAE,MAAM,CAAC,IAAE,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,EAAE,CAAC,KAAG,EAAE,MAAM,CAAC,IAAE,GAAE,MAAI,wBAAwB,wCAAwC,EAAE,MAAM,CAAC,IAAE,uCAAuC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,UAAS,GAAE,MAAKA,IAAC,GAAE,IAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,KAAK,GAAE,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,MAAI,IAAE,GAAG,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE;AAAM,EAAAA,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAG,MAAI,IAAE,GAAG,GAAG,GAAG,GAAE,SAAS,GAAE,EAAE,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,MAAK,GAAE,UAAS,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,IAAE,GAAGA,KAAE,KAAI,cAAc,GAAE,IAAE,GAAG,GAAE,KAAI,cAAc,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,MAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,MAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,IAAE,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,aAAa,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE;AAAK,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,+DAA+D,IAAI;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,gDAAgD,GAAG;AAAE,EAAAA,MAAEA,OAAG,KAAK,OAAO;AAAE,MAAI,IAAE,EAAC,QAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,MAAKA,KAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,IAAI,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,YAAW,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,YAAW,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,GAAE,IAAE,SAAQ;AAAC,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,iDAAiD,GAAG;AAAE,MAAI,IAAE,EAAC,SAAQ,EAAE,GAAE,WAAU,UAAS,OAAO,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQA,KAAE,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,UAAU,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,MAAK,cAAc,GAAE,IAAE,EAAE,GAAE,MAAK,cAAc;AAAE,IAAEA,IAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,+DAA+DA,IAAE,YAAY,EAAE,OAAO;AAAE,MAAI,IAAE,EAAEA,KAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,KAAK;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,MAAI,IAAE,EAAC,UAAS,GAAE,eAAcA,IAAC,GAAE,IAAE,EAAC,GAAE,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,GAAE,MAAI,kDAAkD,GAAE,GAAG,GAAE,CAAC,CAAC,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,SAAO,EAAE,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,WAAS,GAAE,MAAI,uDAAuD,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,gBAAgB;AAAE,IAAE,EAAE,QAAM,IAAE,EAAE,QAAO,MAAI,cAAc,EAAE,sCAAsC,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,EAAE,QAAO,MAAI,qBAAqBA,IAAE,wCAAwC,EAAE,QAAQ,GAAE,EAAE,EAAE,MAAM,OAAO,CAAC,GAAE,GAAE,MAAI,IAAE,KAAG,KAAG,EAAE,SAAO,MAAI,IAAEA,IAAE,IAAE,CAAC,EAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,EAAE,CAAC,KAAG,EAAE,IAAE,CAAC,MAAI,IAAE,GAAE,IAAE,GAAE,MAAI,4BAA4B,EAAE,MAAM,MAAM,CAAC,mBAAmBA,IAAE,SAAS,sCAAsC,EAAE,SAAS,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,YAAW,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,KAAG,SAAO,IAAE,IAAG,MAAI,MAAI,IAAE;AAAS,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,GAAG,GAAE,CAAC,GAAE,MAAI,qEAAqE,oBAAoB,IAAI;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE;AAAE,QAAI,SAAO,IAAE,GAAG,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,IAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,EAAE,UAAS,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,IAAE,SAAQ,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,KAAGA,QAAI,QAAM,MAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,MAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAG,GAAE,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,OAAO,GAAE,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,OAAK,IAAE,EAAE,CAAC,IAAE,KAAG,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,IAAE,MAAI,EAAE,CAAC,IAAE,EAAE,EAAE,IAAI,OAAG,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,OAAO,GAAE,IAAE,EAAE,GAAE,SAAQ,OAAO,GAAE,IAAE,EAAC,GAAEA,KAAE,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,MAAKA,MAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,MAAM;AAAE,IAAE,UAAQ,WAAS,IAAE,GAAG,GAAE,OAAO;AAAG,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,UAASA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,gBAAe,OAAO,CAAC,GAAE,IAAE,EAAE,GAAE,qBAAoB,cAAc,GAAE,IAAE,EAAEA,KAAE,WAAU,gBAAe,OAAO,GAAE,IAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,kBAAiB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,oBAAmB,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,GAAE,mBAAkB,EAAE,EAAE,SAAO,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,aAAa,GAAE,IAAE,EAAE,GAAE,UAAS,eAAc,EAAE,KAAK,GAAE,IAAE,EAAEA,KAAE,UAAS,eAAc,EAAE,KAAK,GAAE,IAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,gBAAe,EAAE,CAAC,GAAE,eAAc,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAuB,OAAO,GAAE,IAAE,EAAE,GAAE,UAAS,sBAAsB,GAAE,IAAE,EAAEA,KAAE,gBAAe,wBAAuB,EAAE,KAAK,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,UAAU,KAAI,wBAAuB,OAAO,CAAC,GAAE,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,GAAE,IAAE,EAAC,mBAAkB,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,CAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE;AAAK,MAAGA,OAAG,QAAMA,QAAI;AAAU,QAAE,IAAI,aAAa,CAAC;AAAA,WAAUA,QAAI;AAAQ,QAAE,IAAI,WAAW,CAAC;AAAA,WAAUA,QAAI;AAAO,QAAE,IAAI,WAAW,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,qBAAqBA,KAAG;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,IAAE,EAAE;AAAE,SAAO,EAAE,WAAW,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,sBAAqB,MAAI,IAAG,oBAAmB,MAAI,IAAG,eAAc,MAAI,IAAG,yBAAwB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,oBAAmB,MAAI,IAAG,qBAAoB,MAAI,IAAG,qBAAoB,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAY,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAOA,OAAG,SAAOA,MAAE,GAAG,IAAG,GAAG,GAAE,GAAE,CAAC,GAAE,MAAI,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,QAAQ,eAAe,MAAI,KAAG,KAAG;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE;AAAG,OAAI,GAAG,CAAC,KAAG,GAAG,CAAC,OAAK,IAAE,QAAI,GAAG,CAAC,KAAG,GAAG,CAAC,MAAI,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,YAAY,MAAK,IAAE,EAAE,YAAY;AAAK,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,yCAAyC,gBAAgB,GAAG;AAAA,EAAC;AAAC,MAAG,MAAM,QAAQ,CAAC,KAAG,MAAM,QAAQ,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,QAAG,CAAC,GAAG,GAAE,CAAC;AAAE,YAAM,IAAI,MAAM,0CAA0C,kBAAkB,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC;AAAE,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,yCAAyC,EAAE,uBAAuB,EAAE;AAAA,YAC77Y;AAAA,YACA,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,CAACA,IAAE,GAAE,CAAC;AAAE,YAAM,IAAI,MAAM,yBAAyB,QAAQ,eAAe,QAAQ;AAAA,YACvI;AAAA,YACA,IAAI;AAAA,EAAC;AAAC,SAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,KAAK,MAAI,EAAE,KAAK,GAAE,MAAI,EAAE,CAAC,GAAE,OAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,OAAO,KAAG,YAAU,CAAC,CAAC,IAAE;AAAE,SAAO,GAAG,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,KAAG,GAAG,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,MAAI,KAAG,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,SAAOA,MAAE,GAAG,IAAG,CAAC,GAAG,GAAE,GAAEA,GAAC;AAAE,UAAM,IAAI,MAAM,8BAA8B,mBAAmB,GAAG;AAAE,SAAO,UAAQ,eAAa,OAAO,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,CAAC,SAAS,CAAC,KAAG,CAAC,SAAS,CAAC,IAAE,OAAG,EAAE,MAAM,CAAC,KAAG,MAAM,CAAC,KAAG,KAAK,IAAI,IAAE,CAAC,IAAEA;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,CAAC,IAAE,KAAG,EAAE,CAAC,IAAEA;AAAE,YAAM,IAAI,MAAM,sBAAsB,EAAE,CAAC,UAAU,YAAYA,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,MAAGA,IAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,wCAAwC,EAAE,sBAAsBA,IAAE,QAAQ;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAGA,IAAE,CAAC,MAAI,EAAE,CAAC;AAAE,YAAM,IAAI,MAAM,iCAAiC,WAAW,EAAE,CAAC,aAAaA,IAAE,CAAC,WAAW;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAIA,MAAE,EAAE,CAAC;AAAE,UAAM,QAAQA,GAAC,IAAE,GAAGA,GAAC,IAAE,EAAE,CAAC,IAAE,GAAGA,GAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,SAAS,cAAc,OAAO;AAAE,SAAM,iBAAgB,MAAI,EAAE,cAAY,OAAI,EAAE,QAAM,MAAG,EAAE,OAAK,MAAG,EAAE,MAAM,WAAS,SAAQ,EAAE,MAAM,OAAK,OAAM,EAAE,MAAM,MAAI,OAAM,EAAE,UAAQ,QAAO,EAAE,YAAY,CAAC,GAAE,IAAI,QAAQ,CAAAA,QAAG;AAAC,MAAE,iBAAiB,cAAa,OAAGA,IAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,QAAM,EAAE,KAAK,GAAE,+BAA8B,KAAG,MAAM,IAAI,QAAQ,OAAG;AAAC,MAAE,0BAA0B,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,SAAOA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,KAAI,KAAK,YAAU,GAAE,KAAK,cAAY,KAAK,QAAM,KAAK,OAAK,KAAK,SAAO,GAAE,KAAK,QAAM,KAAK,OAAK,KAAK,SAAO;AAAG,QAAI,IAAE,KAAG,KAAK,OAAO;AAAE,SAAK,SAAO,GAAG,KAAK,EAAE,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAG,CAAC,MAAM,KAAK,OAAO,GAAE;AAAC,UAAI,IAAE,KAAK;AAAQ,aAAO,KAAK,UAAQ,KAAI;AAAA,IAAC;AAAC,QAAI,GAAEA,KAAE,IAAE;AAAG,WAAK,CAAC,KAAG;AAAC,UAAI,GAAE,GAAE;AAAE;AAAG,YAAE,IAAE,KAAK,OAAO,IAAE,GAAE,IAAE,IAAE,KAAK,OAAO,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAA,aAAQ,KAAG,KAAG,MAAI;AAAG,UAAI,IAAE,KAAK,KAAK,KAAG,KAAK,IAAI,CAAC,IAAE,CAAC;AAAE,UAAE,KAAK,OAAK,KAAK,SAAO,IAAE,GAAEA,MAAE,KAAK,OAAK,KAAK,SAAO,IAAE,IAAG,CAAC,KAAK,aAAW,KAAK,iBAAiB,CAAC,OAAK,IAAE;AAAA,IAAG;AAAC,YAAO,CAAC,KAAK,aAAW,KAAK,iBAAiBA,GAAC,OAAK,KAAK,UAAQ,KAAK,aAAaA,GAAC,IAAG,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,SAAO,QAAM,KAAK,UAAQ,YAAU,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,KAAG,KAAK,SAAO,KAAG,KAAK;AAAA,EAAK;AAAC;AAA3zB,IAA6zB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,OAAK,IAAEA,KAAE,KAAK,QAAM;AAAE,QAAI,IAAE,KAAG,KAAK,OAAO;AAAE,SAAK,QAAM,GAAG,KAAK,EAAE,SAAS,CAAC,GAAE,KAAK,QAAM,IAAI,GAAG,GAAE,GAAE,GAAE,OAAG,KAAK,MAAM,CAAC,GAAE,IAAE,IAAE,KAAK,IAAE,IAAE,IAAE,IAAE,KAAK,IAAE,IAAE,IAAE,GAAE,KAAK,IAAE,IAAE,KAAK,KAAK,IAAE,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAI,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAE,eAAO;AAAC;AAAG,YAAE,KAAK,MAAM,UAAU,GAAE,IAAE,IAAE,KAAK,IAAE;AAAA,aAAQ,KAAG;AAAG,UAAG,KAAG,IAAE,GAAE,IAAE,IAAE,GAAEA,MAAE,IAAE,QAAK,IAAE,GAAE,IAAE,MAAG,IAAE,KAAK,KAAG,IAAE,IAAE,KAAK,IAAI,CAAC,IAAG,IAAE,KAAK,MAAM,GAAE,IAAEA,OAAG,KAAK,IAAI,CAAC,IAAE;AAAE;AAAA,IAAK;AAAC,WAAO,IAAE,IAAE,KAAK,OAAK,KAAK,IAAE,GAAE,KAAK,QAAM,MAAI,KAAG,KAAK,IAAI,KAAK,MAAM,GAAE,IAAE,KAAK,KAAK,IAAG,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,UAAQ,YAAU,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAC;AAAr4C,IAAu4C,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,QAAG,KAAK,iBAAe,MAAI,KAAK,SAAO,QAAM,KAAK,UAAQ,WAAU,KAAK,MAAI,GAAE,KAAK,QAAMA,MAAE,GAAE,KAAK,QAAM,GAAE,KAAG,SAAO,IAAE,KAAK,OAAO,IAAG,OAAO,KAAG,aAAW,IAAE,EAAE,SAAS,IAAG,CAAC,KAAK,eAAe,KAAG,KAAK,SAAO;AAAE,YAAM,IAAI,MAAM,0BAA0B,OAAOA,iCAA+B;AAAE,SAAK,SAAO,GAAG,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,WAAO,KAAK,eAAe,IAAE,IAAE,KAAK,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAO,KAAK,aAAa,KAAK,MAAI,KAAK,QAAM,KAAK,OAAO,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,WAAU,GAAE;AAAC,MAAG,GAAG,CAAC,GAAEA,OAAG,SAAOA,MAAE,IAAG,KAAG,SAAO,IAAE,YAAW,MAAI,aAAW,MAAI;AAAQ,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,OAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,yBAAyB,GAAG;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,IAAE,WAAU,GAAE;AAAC,KAAG,CAAC;AAAE,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAEA,KAAE,MAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,WAAU;AAAC,MAAGA,QAAI;AAAE,UAAM,IAAI,MAAM,4BAA4B;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAKA,KAAE,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,OAAM,EAAE,GAAE,SAAQ,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,YAAY,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAS,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,OAAO,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAEA,IAAE,SAAO,GAAE,MAAI,qDAAqDA,IAAE,OAAO,GAAE,GAAGA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,SAAQ,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,QAAO;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,iBAAiB,GAAE,IAAE,EAAE,GAAE,mBAAkB,iBAAiB,GAAE,IAAE,EAAEA,KAAE,mBAAkB,iBAAiB,GAAE,IAAE,GAAE,IAAE;AAAG,MAAG,EAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,MAAI;AAAO,UAAM,IAAI,MAAM,oFAAoF;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,2EAA2E,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,2EAA2E,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,yFAAyF,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,yFAAyF,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,MAAM,CAAC,MAAI,IAAE,GAAE,MAAI,6EAA6E,IAAE,cAAc,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,SAAQ,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAW,GAAE,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,IAAEA,IAAE,UAAQ,EAAE,OAAM,MAAI,kDAAkDA,IAAE,iBAAiB,EAAE,SAAS,GAAE,EAAEA,IAAE,SAAO,GAAE,MAAI,qCAAqCA,IAAE,SAAS,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,qCAAqC,EAAE,SAAS;AAAE,MAAI,IAAE,MAAMA,IAAE,KAAK,GAAE,IAAE,MAAM,EAAE,KAAK,GAAE,IAAE,IAAI,IAAI,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAI,EAAE,CAAC,CAAC,KAAG;AAAI,MAAI,IAAE,IAAI,GAAG,CAAC,CAAC,GAAEA,IAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,CAAC,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAI,EAAE,CAAC,CAAC,MAAI,EAAE,OAAO,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,OAAO,CAAC,IAAE,GAAE;AAAK,SAAM,CAAC,EAAE,SAAS,GAAE,EAAE,SAAS,CAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,CAACA,GAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,SAAO,EAAE,EAAE,SAAO,GAAE,MAAI,mDAAmD,EAAE,aAAa,GAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,IAAG;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,WAAU,SAAS;AAAE,MAAG,MAAI,OAAK,IAAEA,IAAE,OAAK,IAAG,MAAIA,IAAE,OAAK;AAAE,UAAM,MAAM,4EAA4EA,IAAE,oBAAoB,GAAG;AAAE,MAAI,IAAE,EAAC,QAAOA,IAAC,GAAE,IAAE,EAAC,KAAI,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,UAAQ,aAAY,MAAI,6DAA6D,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,UAAQ,aAAY,MAAI,8DAA8D,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAEA,MAAE,EAAE,OAAK,GAAE;AAAE,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,CAACA,KAAE,CAAC,CAAC;AAAE,QAAE,GAAG,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,CAACA,KAAE,KAAG,IAAE,EAAE,GAAE,IAAE,EAAE,GAAG,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,EAAE,GAAG,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,QAAE,GAAG,CAAC;AAAA,EAAC;AAAC,MAAG,IAAE,GAAG,CAAC,GAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,QAAI,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,QAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAO,EAAC,GAAE,IAAE,EAAC,iBAAgB,GAAE,MAAKA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,EAAE,UAAQ,WAAU,MAAI,mDAAmD,EAAE,OAAO;AAAE,MAAIA,MAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,OAAKA,KAAE;AAAE,MAAG,KAAG,QAAM,IAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC,GAAE,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC;AAAE,MAAE,EAAE,MAAM,SAAO,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,MAAE;AAAA,EAAC,WAAS,KAAG,QAAM,IAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAI,OAAG,CAAC;AAAE,MAAE,EAAE,MAAM,SAAO,CAAC,IAAE,IAAEA,KAAE,IAAE,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAEA,MAAE;AAAA,EAAC;AAAM,QAAE;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAEA,GAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,KAAK,MAAMA,MAAE,CAAC,IAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,EAAE,MAAM,SAAO,CAAC,IAAE,GAAE,EAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,mBAAmB,GAAE,IAAE,EAAE,GAAE,KAAI,mBAAmB;AAAE,GAACA,KAAE,CAAC,IAAE,GAAGA,KAAE,CAAC,GAAE,GAAGA,IAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,EAAC,GAAEA,KAAE,GAAE,EAAC,GAAE,IAAE,CAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,SAAO,EAAEA,KAAE,GAAGA,IAAE,OAAM,CAAC,EAAE,QAAQ;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,WAAU,SAAQ,mBAAmB;AAAE,IAAEA,IAAE,UAAQ,GAAE,MAAI,sCAAsC,GAAEA,IAAE,SAAO,KAAG,EAAE,KAAGA,IAAE,CAAC,EAAE,MAAK,MAAI,oCAAoC;AAAE,MAAI,IAAEA,KAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,MAAM,EAAC,GAAE,IAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,EAAC,GAAE,EAAE,GAAE,KAAI,gBAAe,mBAAmB,EAAC,GAAE,IAAE,EAAC,OAAM,GAAE,KAAIA,KAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAIA,MAAE,EAAC,GAAE,EAAE,GAAE,KAAI,OAAM,SAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,MAAK,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,CAAC;AAAE,MAAIA,MAAE,GAAG,GAAE,CAAC;AAAE,MAAGA,IAAE,WAAS;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,SAAO,GAAG,GAAE,MAAKA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,8EAA8E;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,iDAAiD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,kEAAkE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gDAAgD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,oEAAoE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,gDAAgD;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,sEAAsE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,EAAE,WAAS,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,wEAAwE;AAAE,MAAG,EAAE,WAAS,KAAG,KAAG;AAAK,UAAM,IAAI,MAAM,yEAAyE;AAAE,SAAO,IAAE,KAAG,GAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,GAAE,IAAE,EAAE,OAAK,IAAE,EAAE,OAAK,IAAE,GAAE,IAAE,6FAA6FA,IAAE,yBAAyB,EAAE,iBAAiB,gBAAgB,oBAAoB;AAAK,MAAGA,IAAE,OAAK;AAAE,UAAM,IAAI,MAAM,IAAE,kBAAkB,KAAK;AAAE,MAAG,EAAE,SAAO,KAAGA,IAAE,OAAK;AAAG,UAAM,IAAI,MAAM,IAAE,0BAA0B,KAAGA,IAAE,OAAK,IAAI;AAAE,MAAGA,IAAE,SAAO,IAAE,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,IAAE,mBAAmB,IAAE,EAAE,SAAO,GAAG;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAGA,IAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,IAAE,kBAAkB,OAAOA,IAAE,MAAM,CAAC,uBAAuB,OAAO,EAAE,MAAM,CAAC,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,OAAK,GAAE,EAAE;AAAE,QAAGA,IAAE,MAAM,IAAE,CAAC,MAAI,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,IAAE,kBAAkB,IAAE,OAAOA,IAAE,MAAM,IAAE,CAAC,eAAe,IAAE,OAAO,EAAE,IAAE,CAAC,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,+EAA+E,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,0DAA0D,EAAE,OAAO;AAAE,MAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,6DAA6DA,KAAG;AAAE,MAAGA,IAAE,WAAS,GAAE;AAAC,QAAG,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,QAAG,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAA,EAAC;AAAC,KAAGA,KAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,QAAO,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,SAAGA,IAAE,CAAC;AAAE,MAAI,IAAE,IAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAE,KAAK,IAAE,GAAE,IAAE,CAAC,GAAG,GAAGA,IAAE,MAAM,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAGA,GAAC;AAAE,SAAM,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE,EAAE,GAAE,WAAU,uBAAsB,OAAO,GAAE,IAAE,EAAEA,KAAE,WAAU,qBAAqB;AAAE,MAAG,GAAG,GAAE,GAAE,EAAE,KAAK,GAAE,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,iEAAiE,EAAE,aAAa,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAC,QAAO,GAAE,SAAQ,GAAE,SAAQ,EAAC,GAAE,IAAE,CAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,MAAM;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,6CAA6C,GAAG;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,uDAAuD,cAAc,GAAG;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAOA,IAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAEA,MAAE,GAAE,GAAE,GAAE;AAAC,MAAG,GAAG,CAAC,GAAE,KAAG,QAAM,MAAI;AAAO,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,MAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO;AAAI,MAAE,OAAO,CAAC,IAAE,EAAE,UAAU;AAAE,SAAO,EAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,UAAS,mBAAmB;AAAE,IAAEA,IAAE,OAAK,GAAE,MAAI,sCAAsC;AAAE,MAAI,IAAE,EAAC,GAAEA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,SAAQ,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,oBAAoB,GAAE,IAAE,EAAE,GAAE,cAAa,sBAAqB,OAAO;AAAE,IAAE,GAAGA,GAAC,GAAE,MAAI,kCAAkC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,YAAW,EAAC,GAAE,IAAE,EAAC,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qBAAoB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,KAAI,WAAU,mBAAmB;AAAE,IAAE,KAAG,CAACA,IAAE,MAAM,UAAQ,IAAEA,IAAE,MAAM,QAAO,MAAI,UAAU,iBAAiBA,IAAE,MAAM,WAAWA,IAAE,MAAM,SAAS;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,MAAGA,KAAE,GAAE;AAAC,SAAO,EAAE,aAAa,GAAE,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,KAAGA,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,GAAE,OAAO,GAAE,IAAE,GAAG,CAACA,IAAE,QAAO,EAAE,MAAM,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,WAAWA,IAAE,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE;AAAO,MAAE,OAAO,IAAI,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,SAAS;AAAC;AAAC,eAAe,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,aAAY,cAAa,MAAM,GAAEA,MAAE,MAAM,EAAE,KAAK,GAAE,IAAE,GAAG,EAAE,OAAMA,GAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG;AAAG,eAAe,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,UAAU,GAAE,IAAE,EAAE,GAAE,QAAO,YAAW,MAAM,GAAE,IAAEA,OAAG,OAAK,IAAEA,KAAE,IAAE,EAAE,MAAK,IAAE,EAAE;AAAM,IAAE,IAAE,GAAE,MAAI,uBAAuB,GAAE,GAAG,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,EAAE,OAAM,mEAAmE;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE;AAAI,SAAG,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,CAAC,EAAE,OAAO,CAAC,CAAC,GAAE,EAAE,MAAM,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,GAAE,IAAE,EAAE,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,MAAM,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE,EAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,WAAW;AAAE,MAAG,KAAG,SAAO,IAAE,EAAE,MAAM,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,QAAQ,IAAG,EAAE,EAAE,SAAO,EAAE,QAAO,MAAI,qCAAqC,EAAE,kCAAkC,IAAI,GAAE,EAAE,QAAQ,OAAG;AAAC,MAAE,KAAG,KAAG,IAAE,EAAE,MAAK,MAAI,+CAA+C,EAAE,OAAK,aAAa,GAAG;AAAA,EAAC,CAAC,GAAE,EAAE,QAAM;AAAE,WAAO,EAAE,MAAM;AAAE,MAAI,IAAE,EAAC,GAAE,EAAC,GAAE,IAAE,EAAC,MAAK,EAAC;AAAE,SAAO,EAAE,UAAQ,cAAY,GAAG,MAAI;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,WAAO,IAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,GAAE,CAAC,GAAEA,QAAI,IAAE,GAAG,CAAC,IAAG,GAAG,GAAE,CAAC;AAAA,EAAC,CAAC,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAE,GAAE,KAAI,eAAe,GAAE,IAAE,EAAEA,KAAE,SAAQ,eAAe;AAAE,KAAG,GAAE,CAAC,GAAE,EAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,MAAI,2BAA2B;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,MAAE,KAAG,MAAK,MAAI,gDAAgD;AAAE,QAAI,IAAE,EAAE,GAAE,QAAO,eAAe;AAAE,QAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAGA,GAAC;AAAE,MAAI,IAAE,EAAE,GAAE,WAAU,aAAY,OAAO,GAAE,IAAE,EAAE,GAAE,WAAU,WAAW;AAAE,KAAG,GAAE,GAAEA,GAAC;AAAE,MAAI,IAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,GAAE,IAAE,EAAC,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,8EAA8E,EAAE,QAAQ;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,sEAAsE,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,EAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE;AAAE,MAAGA,IAAE,WAAS;AAAE,UAAM,IAAI,MAAM,kDAAkDA,IAAE,sBAAsB,IAAI;AAAE,MAAI,IAAE,EAAE;AAAK,MAAG,EAAE,EAAE,SAAO,KAAG,EAAE,SAAO,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,oCAAoC,EAAE,2BAA2B,IAAI;AAAE,MAAG,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,mDAAmD;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE;AAAC,KAAGA,GAAC;AAAE,MAAI,IAAE,EAAE,GAAE,iBAAgB,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,gBAAe,iBAAgB,mBAAmB,GAAE,IAAE,EAAE,GAAE,gBAAe,iBAAgB,EAAE,KAAK;AAAE,KAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,GAAE,IAAE,EAAC,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,WAAU,YAAW,OAAO,GAAE,IAAE,EAAC,QAAO,EAAE,GAAE,KAAI,YAAW,mBAAmB,GAAE,SAAQA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG;AAAK,WAAO,EAAE,MAAM,MAAM;AAAE,MAAG,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO;AAAE,MAAG,EAAE,MAAM,WAAS,EAAE,QAAO;AAAC,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO;AAAI,QAAE,CAAC,KAAG,QAAM,EAAE,MAAM,CAAC,KAAG,OAAKA,IAAE,KAAK,EAAE,MAAM,CAAC,CAAC,IAAEA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,SAAS;AAAE,MAAG,EAAE,EAAE,UAAQ,WAAU,MAAI,gFAAgF,EAAE,uBAAuB,GAAE,EAAE,KAAG,KAAG,IAAE,GAAE,MAAI,qDAAqD,IAAI,GAAE,MAAI;AAAE,WAAO,aAAa,KAAG,EAAE,MAAM,IAAE;AAAE,MAAI,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,GAAE,GAAE,GAAE,WAAU,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,KAAK,MAAM,KAAK,IAAI,GAAE,KAAK,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,IAAI,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAE,IAAE,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,KAAK,KAAG,KAAG,IAAE,IAAE;AAAG,MAAE,CAAC,IAAE,IAAEA,MAAE,KAAK,IAAI,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,SAAS;AAAC;AAAC,eAAe,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,eAAc,QAAQ,GAAE,IAAE,EAAE,GAAE,WAAU,QAAQ;AAAE,IAAE,EAAE,OAAK,GAAE,MAAI,uEAAuE,EAAE,MAAM,GAAE,EAAE,EAAE,OAAK,MAAI,EAAE,MAAK,MAAI,mFAAmF,EAAE,yBAAyB,EAAE,MAAM,GAAE,GAAG,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,SAAO,CAAC,GAAE,EAAE,OAAM,yFAAyF;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC;AAAE,IAAEA,MAAE,KAAGA,OAAG,GAAE,MAAI,4EAA4E,eAAeA,KAAG;AAAE,MAAI,IAAE,MAAM,EAAE,KAAK,GAAE,IAAE,MAAM,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,EAAE,SAAO,GAAE,CAAC,GAAE,IAAE,GAAG,QAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,KAAK,EAAC,OAAM,EAAE,CAAC,GAAE,OAAM,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,MAAI,EAAE,QAAM,EAAE,KAAK,GAAE,EAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,UAAG,EAAE,CAAC,EAAE,UAAQ,EAAE,CAAC,GAAE;AAAC,UAAE,CAAC,IAAE;AAAE;AAAA,MAAK;AAAA,EAAC;AAAC,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,GAAG,GAAE,EAAE,OAAM,MAAM;AAAC;AAAC,IAAI,KAAG;AAAG,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,QAAO,GAAE;AAAC,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,iEAAiE,EAAE,QAAQ,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,8DAA8D,EAAE,QAAQ,GAAE,EAAEA,IAAE,WAAS,GAAE,MAAI,mEAAmEA,MAAI;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,MAAIA,IAAE,CAAC,GAAE,MAAI,4CAA4C,wCAAwCA,IAAE,CAAC,IAAI,GAAE,EAAE,MAAIA,IAAE,CAAC,GAAE,MAAI,0CAA0C,0CAA0CA,IAAE,CAAC,KAAK,GAAE,GAAG,mBAAkB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAC,GAAE,GAAE,IAAG,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA,OAAG,QAAMA,QAAI;AAAS,WAAO;AAAE,MAAGA,QAAI;AAAO,WAAO,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,QAAM,IAAI,MAAM,gDAAgDA,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,EAAE,SAAO,MAAIA,MAAE,GAAGA,KAAE,CAAC,IAAG,EAAEA,KAAE,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI;AAAS,WAAO;AAAE,MAAG,MAAI;AAAO,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAM,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI;AAAY,WAAO,GAAG,GAAE,CAAC;AAAE,MAAG,MAAI;AAAU,WAAO,GAAG,CAAC;AAAE,QAAM,IAAI,MAAM,4BAA4B,IAAI;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI,EAAE,IAAE,MAAI,MAAI;AAAS,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,SAAQA,KAAE,KAAI,GAAE,YAAW,IAAE,QAAO,WAAU,IAAE,CAAC,GAAE,CAAC,GAAE,iBAAgB,GAAE,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,EAAC,GAAE;AAAC,MAAG,IAAE,KAAG,UAAS,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,MAAE,MAAI,QAAO,MAAI,4CAA4C,8GAA8G;AAAE,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,UAAS,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,8DAA8D,EAAE,OAAO,GAAE,GAAG,gBAAe,GAAE,CAAC;AAAE,MAAI,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oCAAoC,wCAAwC,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,uEAAuEA,sBAAoB,IAAI;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,EAAE,OAAMA,KAAE,GAAE,GAAE,CAAC,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,MAAI,SAAO,GAAG,EAAE,UAAS,EAAE,KAAK,KAAG,EAAE,EAAE,MAAM,UAAQ,GAAE,MAAI,2GAA2G,EAAE,MAAM,SAAS,GAAE,EAAE,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,EAAE,eAAa,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,sCAAsC,EAAE,gEAAgE,EAAE,cAAc;AAAI,MAAI;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE;AAAM,QAAG,EAAE,EAAE,UAAQ,KAAG,EAAE,WAAS,GAAE,MAAI,2HAA2H,EAAE,SAAS,GAAE,EAAE,WAAS;AAAE,QAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,EAAE,aAAY,MAAI,oDAAoD,4DAA4D,EAAE,eAAe;AAAA,aAAU,EAAE,WAAS;AAAE,UAAG;AAAC,WAAG,GAAE,EAAE,QAAQ;AAAA,MAAC,SAAO,GAAN;AAAS,YAAI,IAAE,oDAAoD,6DAA6D,EAAE;AAAa,cAAM,MAAM,CAAC;AAAA,MAAC;AAAC,QAAE,EAAE,GAAE,iBAAgB,cAAc;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,MAAE,MAAI,QAAO,MAAI,wDAAwD,yCAAyC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,GAAG,CAAC,GAAE,MAAI,uHAAuH,IAAI;AAAE,QAAI,IAAE,GAAG,EAAE,OAAM,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAMA,KAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,KAAK,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE;AAAE,IAAE,SAAO,MAAI,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,GAAE,GAAE,IAAG,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,WAAU,GAAE,aAAYA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sCAAqC,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,IAAG,GAAE,QAAOA,IAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,WAAU,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qCAAoC,GAAE,CAAC;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,SAAQA,KAAE,KAAI,GAAE,YAAW,IAAE,QAAO,WAAU,IAAE,CAAC,GAAE,CAAC,GAAE,iBAAgB,GAAE,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,EAAC,GAAE;AAAC,MAAG,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,mBAAkB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAkB,SAAS,GAAE,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAE,EAAE,SAAO,GAAE,MAAI,sEAAsE,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,uEAAuE,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,6DAA6D,EAAE,MAAM,CAAC,oDAAoD,EAAE,MAAM,CAAC,IAAI,GAAE,KAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,GAAGA,KAAE,CAAC,GAAE,MAAI,sFAAsFA,sBAAoB,IAAI,GAAE,GAAG,yBAAwB,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,EAAE,OAAMA,KAAE,GAAE,GAAE,GAAE,IAAE,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAG,EAAE,UAAS,EAAE,KAAK;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,iBAAgB,uBAAuB;AAAG,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,MAAE,GAAG,CAAC,GAAE,MAAI,mHAAmH,IAAI;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,OAAM,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAMA,KAAE,GAAE,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,SAAQA,KAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,MAAI,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAG,EAAC,OAAM,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,uBAAsB,GAAE,CAAC;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,MAAE,OAAG,YAAW,IAAE,OAAG,MAAK,GAAE,YAAW,IAAE,UAAS,wBAAuB,GAAE,gBAAe,IAAE,IAAE,GAAE;AAAC,MAAG,GAAG,EAAE,MAAM,eAAc,CAAC,MAAI,OAAG;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,WAAO,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,IAAG,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,cAAc,GAAE,IAAE,EAAE,GAAE,KAAI,cAAc;AAAE,GAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,MAAI,IAAEA,MAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,IAAE,EAAE,MAAM,EAAE,OAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,IAAE,MAAI,GAAE,MAAI,wCAAwC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAE,GAAG,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC,GAAE,IAAEA,MAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,IAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,QAAO,cAAc,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,EAAE,KAAK;AAAG,MAAI;AAAE,OAAG,SAAO,IAAE,EAAE,GAAE,iBAAgB,cAAc;AAAG,MAAI,IAAE,CAAC,GAAE,MAAI;AAAC,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,GAAE,EAAE,KAAK,GAAE,GAAE,CAAC,GAAE,GAAE;AAAE,QAAG,CAACA,OAAG,CAAC,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,KAAE,KAAG,CAACA,OAAG,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,KAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,KAAE,KAAGA,OAAG,CAAC,KAAG,IAAE,GAAG,GAAE,GAAE,OAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,OAAG,KAAE,MAAI,IAAE,GAAG,GAAE,GAAE,MAAG,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,MAAG,IAAE,IAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAM,aAAM,CAAC,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,YAAWA,KAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC;AAAE,SAAO,KAAG,OAAK,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,EAAC,OAAM,EAAE,GAAE,CAAC,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,WAAO,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,GAAE,EAAC,OAAM,EAAE,GAAE,CAAC,GAAE,UAAS,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,IAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,KAAG,GAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG,IAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,CAAC;AAAE,SAAK,IAAE,KAAG,EAAE;AAAM,MAAE,KAAK,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,KAAGA;AAAE,MAAG;AAAE,WAAK,IAAE,EAAE,QAAM;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,MAAK,IAAE,GAAG,CAAC,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE,GAAG,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,KAAGA;AAAA,IAAC;AAAC,SAAO,EAAE,WAAS,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,IAAE,EAAE,GAAG,CAAC,GAAE,CAAC,EAAE,QAAO,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,QAAO,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,OAAG,SAAO,IAAE,GAAG,CAAC;AAAG,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,EAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,OAAM,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,YAAW,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,eAAe,GAAE,IAAE,EAAE,GAAE,SAAQ,iBAAgB,SAAS,GAAE,IAAE,EAAEA,KAAE,UAAS,iBAAgB,OAAO,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oDAAoD,sBAAsB,EAAE,QAAQ,GAAE,EAAE,EAAE,SAAO,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,qDAAqD,oBAAoB,EAAE,QAAQ,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,wEAAwE,EAAE,SAAS,GAAE,EAAE,EAAE,CAAC,KAAG,KAAG,EAAE,CAAC,KAAG,GAAE,MAAI,2CAA2C,GAAG,GAAE,EAAE,MAAI,cAAY,MAAI,WAAU,MAAI,+CAA+C,GAAG;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,QAAO,GAAE,oBAAmB,GAAE,UAAS,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,iBAAgB,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,6DAA6D,EAAE,OAAO;AAAE,MAAIA,MAAE,EAAC,OAAM,EAAC;AAAE,SAAO,EAAE,UAAU,IAAGA,KAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,gBAAgB,GAAEA,MAAE,EAAE,OAAK,GAAE,IAAE,EAAE,MAAMA,GAAC;AAAE,IAAE,EAAE,QAAM,GAAE,MAAI,yEAAyE,EAAE,OAAO,GAAE,EAAE,MAAI,GAAE,MAAI,+FAA+F,IAAI;AAAE,MAAI,IAAE,IAAI,MAAM,EAAE,IAAI;AAAE,SAAO,EAAE,KAAK,GAAE,GAAEA,GAAC,GAAE,EAAEA,GAAC,IAAE,GAAE,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,oBAAmB,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,OAAM,EAAC,GAAE,IAAE,EAAC,SAAQ,GAAE,WAAUA,KAAE,QAAO,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,MAAI,KAAG,SAAO,IAAE,OAAO,oBAAmB,KAAG,SAAO,IAAE;AAAG,MAAI,IAAE,EAAE,MAAM,CAAC;AAAE,SAAOA,MAAE,KAAK,IAAIA,KAAE,CAAC,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,4CAA4C,IAAI,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,+CAA+C,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,oDAAoD,EAAE,MAAM,CAAC,GAAG,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,4BAA4B,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,sDAAsD,cAAc,EAAE,MAAM,CAAC,GAAG,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,4CAA4C,IAAI,GAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,qBAAoB,SAAS,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAoB,SAAS,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE;AAAe,MAAI,IAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAE,IAAE,EAAE,IAAE,KAAG;AAAE,IAAE,OAAO,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,OAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE,IAAE,IAAE,IAAE,IAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,QAAO,IAAE,GAAE,IAAE;AAAG,SAAK,IAAE,KAAG;AAAC,QAAE,KAAG,IAAE,MAAI;AAAG,QAAI,IAAEA,IAAE,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE,IAAE,IAAE,KAAG,IAAE,GAAE,IAAE,CAAC;AAAA,EAAE;AAAC,SAAO,IAAE,IAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,OAAG,GAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,KAAG,EAAE,KAAK,EAAC,OAAM,EAAE,CAAC,GAAE,UAAS,GAAE,oBAAmB,EAAC,CAAC;AAAE,IAAE,KAAK,EAAE;AAAE,MAAI,IAAE,IAAE,IAAE,OAAI,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,SAAK,EAAE,SAAOA,OAAG,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI,GAAE,EAAC,OAAM,GAAE,UAAS,GAAE,oBAAmB,EAAC,IAAE;AAAE,QAAG,IAAE;AAAE;AAAM,QAAI,IAAE;AAAG,aAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,CAAC;AAAE,UAAG,KAAG,GAAE;AAAC,YAAE;AAAG;AAAA,MAAK;AAAC,UAAG,EAAE,QAAM,EAAE,QAAM,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,SAAO;AAAE;AAAA,IAAK;AAAC,MAAE,qBAAmB,EAAE,QAAO,MAAI,EAAE,UAAQ,KAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,EAAE,KAAK,KAAG,EAAE,QAAM,KAAG,GAAG,GAAE,GAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAEA,MAAE;AAAE,OAAG,IAAE,MAAI,EAAE,KAAK,GAAG,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,CAAC,GAAE,EAAE,KAAK,GAAG,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,CAAC;AAAG,MAAI,IAAE,EAAC,iBAAgB,EAAC;AAAE,SAAO,MAAI,EAAE,iBAAe,IAAG,MAAI,EAAE,eAAa,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAS,IAAE,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,SAASA,MAAE,GAAEA,MAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAG,IAAE,MAAI,IAAE,IAAG,KAAG,IAAE,MAAI,IAAE;AAAG,MAAG,KAAG,KAAG,KAAG;AAAE,WAAO;AAAE,MAAI,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC;AAAE,SAAO,KAAG,IAAE,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,KAAK,IAAI,IAAEA,MAAEA,GAAC;AAAE,SAAOA,OAAG,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,QAAM,EAAE,SAAO,EAAE,UAAQ,EAAE,SAAO,EAAE,WAAS,EAAE;AAAQ;AAAC,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE;AAAe,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,GAAG,GAAE,OAAO;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAmB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAa,MAAI,IAAE,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,eAAcA,KAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,iBAAgB,EAAE,CAAC,GAAE,gBAAe,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,6BAA4B,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,EAAAA,MAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAa,MAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAC,iBAAgB,GAAG,GAAE,OAAO,GAAE,gBAAe,GAAG,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,mBAAmB,GAAE,IAAE,EAAE,GAAE,UAAS,mBAAmB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAI,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,IAAE,EAAC,OAAM,GAAE,QAAO,EAAC,GAAE,IAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,iBAAgB,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,0BAAyB,GAAE,CAAC;AAAE,eAAe,GAAG,GAAE,GAAEA,KAAE,IAAE,KAAG,IAAE,OAAO,mBAAkB,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,wBAAwB,GAAE,IAAE,EAAE,GAAE,UAAS,wBAAwB,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAI,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,gBAAe,CAAC,GAAE,CAAC,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC,GAAE,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,EAAE,QAAQ,GAAE,MAAI,KAAG,EAAE,QAAQ,GAAE,EAAC,iBAAgB,GAAG,GAAE,OAAO,GAAE,cAAa,GAAG,GAAE,OAAO,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,gBAAgB;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,gEAAgE,EAAE,OAAO,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,6DAA6D,IAAI,GAAE,EAAE,MAAI,SAAIA,QAAI,OAAG,MAAI,mFAAmF;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAG,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,cAAaA,KAAE,kBAAiB,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,uBAAuB;AAAE,IAAE,EAAE,SAAO,KAAG,EAAE,SAAO,GAAE,MAAI,uEAAuE,EAAE,OAAO,GAAE,EAAE,EAAE,WAAS,GAAE,MAAI,oEAAoE,IAAI,GAAE,EAAE,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,kDAAkD,GAAE,EAAE,MAAI,SAAIA,QAAI,OAAG,MAAI,0FAA0F;AAAE,MAAI,IAAE,GAAE,IAAE;AAAG,IAAE,SAAO,MAAI,IAAE,MAAG,IAAE,EAAE,GAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC;AAAG,MAAG,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,cAAaA,KAAE,kBAAiB,GAAE,MAAK,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAO,IAAE,EAAE,GAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,IAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,wBAAuB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,UAASA,MAAE,OAAG,IAAE,KAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,WAAW,GAAE,IAAE,QAAM,IAAE,OAAK,IAAE,OAAK,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,CAAC,CAAC,GAAE,GAAG,GAAE,GAAE,GAAE,GAAE;AAAE,MAAG,EAAE,EAAE,SAAO,GAAE,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,0EAA0E,EAAE,MAAM,CAAC,IAAI,GAAE,EAAE,EAAE,UAAQ,WAAS,EAAE,UAAQ,WAAU,MAAI,sEAAsE,EAAE,QAAQ,GAAE,EAAE,MAAI,UAAQ,MAAI,UAAS,MAAI,0CAA0C,GAAG,GAAE,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,KAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAM,QAAE;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAE,GAAG,GAAG,GAAG,CAAC,GAAE,OAAO,GAAE,GAAG,CAAC,CAAC,GAAE,GAAG;AAAE,QAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,MAAE,GAAG,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAG,GAAE,GAAG,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAK,GAAE,KAAI;AAAC,QAAE,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAG,GAAE,GAAG,GAAE,EAAE,IAAI,CAAC,CAAC;AAAE,QAAE,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE,GAAG,GAAG,GAAE,EAAE,IAAI,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,GAAG,GAAE,GAAE,CAAC,GAAEA,MAAE,GAAG,GAAE,GAAG,CAAC,CAAC,CAAC,GAAEA,GAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,WAAU,IAAE,YAAW,IAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,aAAY,SAAS,GAAE,IAAE,EAAE,GAAE,cAAa,aAAY,SAAS;AAAE,IAAE,EAAE,SAAO,GAAE,MAAI,yDAAyD,EAAE,OAAO,GAAE,EAAE,EAAE,SAAO,MAAI,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,KAAG,EAAE,MAAM,CAAC,MAAI,MAAI,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,kEAAkE,GAAE,EAAE,KAAG,QAAM,EAAE,WAAS,GAAE,MAAI,4EAA4E,IAAI;AAAE,MAAI,IAAE,EAAC,OAAM,GAAE,YAAW,EAAC,GAAE,IAAE,EAAC,eAAcA,KAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,KAAI,UAAU;AAAE,IAAE,EAAE,QAAM,GAAE,MAAI,4CAA4C,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,MAAM,EAAE,GAAE,GAAE;AAAE,SAAO,KAAG,YAAU,EAAE,IAAE,MAAI,GAAE,MAAI,gDAAgD,IAAI,GAAE,EAAE,KAAG,GAAE,MAAI,yBAAyB,mDAAmD,KAAK,GAAE,IAAE,EAAE,IAAE,IAAE,IAAE,GAAE,YAAW,UAAU,MAAI,EAAE,EAAE,UAAQ,SAAQ,MAAI,gDAAgD,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAE,GAAG,GAAE,CAAC,CAAC,IAAG,OAAOA,OAAG,YAAU,EAAEA,MAAE,MAAI,GAAE,MAAI,gDAAgDA,MAAI,GAAE,EAAEA,OAAG,GAAE,MAAI,yBAAyBA,wDAAsD,KAAK,GAAE,IAAE,EAAEA,MAAE,IAAE,IAAEA,KAAE,YAAW,UAAU,MAAI,EAAEA,IAAE,UAAQ,SAAQ,MAAI,gDAAgD,GAAE,IAAE,GAAG,GAAGA,KAAE,CAAC,GAAE,GAAE,GAAGA,KAAE,CAAC,CAAC;AAAG,MAAI,IAAE,EAAE,GAAG,GAAE,GAAE,GAAE,OAAO,GAAE,CAAC,IAAG,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,OAAO,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,GAAG,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAO,EAAE,GAAG,GAAG,EAAE,GAAE,CAAC,IAAG,GAAE,CAAC,CAAC,CAAC,EAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,WAAU,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI;AAAE,MAAG,MAAM,QAAQ,CAAC,GAAE;AAAC,QAAE,OAAG,EAAE,KAAG,QAAM,EAAE,SAAO,GAAE,MAAI,mEAAmE;AAAE,QAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,MAAI,iEAAiE,EAAE,CAAC,EAAE,MAAM,CAAC,SAAS,IAAI;AAAA,EAAC;AAAM,QAAE,MAAG,IAAE,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC,EAAE,IAAI,OAAG,GAAG,GAAE,CAAC,CAAC,CAAC,CAAC;AAAE,IAAE,EAAE,UAAQ,EAAE,CAAC,EAAE,MAAM,CAAC,GAAE,MAAI,oCAAoC,EAAE,yCAAyC,EAAE,CAAC,EAAE,MAAM,CAAC,KAAK;AAAE,MAAIA,MAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,KAAK,EAAE,KAAK,MAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,GAAG,GAAG,GAAGA,IAAE,CAAC,GAAE,CAAC,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAE,cAAE,GAAG,GAAE,CAAC;AAAA,QAAC;AAAC,aAAO,GAAG,GAAE,GAAG,GAAE,WAAW,CAAC;AAAA,IAAC,CAAC,CAAC;AAAE,SAAO,IAAE,GAAGA,KAAE,CAAC,IAAEA;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAG,EAAE,EAAE,QAAM,GAAE,MAAI,gEAAgE,EAAE,MAAM,GAAE,EAAE,SAAO;AAAE,WAAO,GAAG,GAAE,CAAC;AAAE;AAAC,QAAIA,MAAE,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,SAAO,CAAC,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAE,GAAE,CAACA,KAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,GAAG,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,SAAO,EAAE,KAAK,MAAI;AAAC,MAAE,EAAE,MAAM,WAAS,GAAE,MAAI,0CAA0C,EAAE,MAAM,iBAAiB;AAAE,QAAIA,MAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAGA,GAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,CAAC,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAEA,OAAG,IAAE,IAAEA;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,OAAC,GAAE,GAAE,CAAC,IAAE,EAAE,KAAK,MAAI;AAAC,YAAI,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,MAAE,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,GAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,MAAM,CAAC,MAAI,IAAE,IAAE,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,GAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,GAAE,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,MAAE,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,YAAG,MAAI;AAAE,cAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,GAAG,GAAE,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,cAAE,GAAG,CAAC,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,QAAC;AAAC,YAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,EAAE,MAAM,CAAC,IAAE,CAAC,CAAC;AAAE,YAAG,MAAI;AAAE,cAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,cAAE,GAAG,CAAC,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,QAAC;AAAC,eAAM,CAAC,GAAE,GAAE,CAAC;AAAA,MAAC,CAAC,GAAE,GAAG,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,KAAGA,MAAE,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAACA,KAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC,IAAG,CAAC,GAAE,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,KAAI,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,yBAAuB,CAAC,IAAE;AAAwB,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,GAAE,WAAU,qBAAqB;AAAG,MAAI,IAAE,KAAG,OAAK,IAAE,GAAG,GAAE,CAAC;AAAE,MAAGA,QAAI,GAAG;AAAK,WAAO;AAAE,MAAGA,QAAI,GAAG;AAAI,WAAO,GAAG,CAAC;AAAE,MAAGA,QAAI,GAAG,MAAK;AAAC,QAAG,KAAG;AAAK,aAAO,GAAG,CAAC;AAAE;AAAC,UAAI,IAAE,EAAE,OAAK,EAAE,MAAK,IAAE,GAAG,GAAG,CAAC,GAAE,GAAG,CAAC,CAAC;AAAE,aAAO,IAAE,IAAE,GAAG,GAAE,GAAG,CAAC,CAAC,IAAE;AAAA,IAAC;AAAA,EAAC;AAAC,MAAGA,QAAI,GAAG,wBAAuB;AAAC,QAAG,KAAG;AAAK,aAAO,GAAG,GAAG,CAAC,GAAE,GAAG,EAAE,IAAI,CAAC;AAAE;AAAC,UAAI,IAAE,GAAG,GAAE,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,CAAC,CAAC,CAAC,GAAE,SAAS;AAAE,aAAO,GAAG,GAAG,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,QAAM,MAAM,sBAAsBA,KAAG;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,oBAAoB,GAAE,IAAE,EAAE,GAAE,eAAc,oBAAoB,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,oBAAoB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,+BAA+B;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qBAAoB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,gBAAgB,GAAE,IAAE,EAAE,GAAE,eAAc,gBAAgB,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,GAAE,WAAU,gBAAgB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,2BAA2B;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,GAAEA,KAAE,IAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,iBAAgB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,WAAW,GAAE,IAAE,EAAE,GAAE,eAAc,WAAW,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,WAAW,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,sBAAsB;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,MAAE,GAAG,GAAG,GAAG,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,WAAW,GAAE,IAAE,EAAE,GAAE,eAAc,WAAW,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,WAAW,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,sBAAsB;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAE,GAAE,GAAG,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,YAAW,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,SAAS,GAAE,IAAE,EAAE,GAAE,eAAc,SAAS,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,SAAS,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,oBAAoB;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,GAAG,GAAG,GAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,UAAS,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,kBAAkB,GAAE,IAAE,EAAE,GAAE,eAAc,kBAAkB,GAAE,IAAE;AAAK,EAAAA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,kBAAkB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,6BAA6B;AAAE,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,UAAS,+BAA+B,GAAE,IAAE,EAAE,GAAE,UAAS,+BAA+B;AAAE,KAAGA,IAAE,OAAM,EAAE,OAAM,0CAA0C;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,CAAC,CAAC,CAAC,CAAC;AAAE,SAAO,GAAG,GAAG,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,oBAAmB,qBAAqB,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,MAAGA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,qBAAqB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,gCAAgC,GAAE,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE;AAAE,QAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,MAAGA,QAAI,OAAKA,MAAE,EAAE,OAAK,IAAGA,QAAI,EAAE,OAAK;AAAE,UAAM,MAAM,mGAAmG,EAAE,oBAAoBA,KAAG;AAAE,SAAO,GAAG,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,GAAE,CAACA,GAAC,GAAE,IAAE,GAAE,IAAE,GAAG,GAAG,GAAE,SAAS,GAAE,CAAC;AAAE,MAAE,CAAC,GAAE,CAAC,CAAC;AAAE,QAAI,IAAE,GAAG,GAAG,GAAE,CAAC,CAAC;AAAE,WAAM,EAAC,OAAM,GAAG,GAAE,CAACA,GAAC,CAAC,GAAE,UAAS,CAAC,GAAE,MAAI;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,CAACA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAG,EAAE,GAAE,CAAC,GAAE,GAAG,GAAG,GAAE,SAAS,GAAE,GAAG,CAAC,CAAC,CAAC,GAAE,GAAG,EAAE,GAAE,CAAC,GAAE,GAAG,GAAG,CAAC,GAAE,GAAG,GAAE,SAAS,CAAC,CAAC,CAAC;AAAA,IAAC,EAAC;AAAA,EAAC,CAAC,EAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,GAAE,IAAE,GAAG,wBAAuB;AAAC,MAAI,IAAE,EAAE,GAAE,gBAAe,qBAAqB,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE;AAAK,MAAGA,OAAG,SAAO,IAAE,EAAEA,KAAE,WAAU,qBAAqB,IAAG,GAAG,EAAE,OAAM,EAAE,OAAM,gCAAgC,GAAE,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,MAAM,CAAC,CAAC;AAAE,QAAE,GAAG,GAAG,GAAE,GAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,WAAU,uBAAsB,OAAO,GAAE,IAAE,EAAE,GAAE,UAAS,qBAAqB,GAAE,IAAE,EAAEA,KAAE,cAAa,uBAAsB,OAAO,GAAE,IAAE,EAAE,GAAE,gBAAe,uBAAsB,EAAE,KAAK;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,UACz89C,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,gDAAgD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,uDAAuD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,eAAc,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,GAAE,mBAAkB,EAAE,CAAC,GAAE,iBAAgB,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,sBAAqB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,gBAAe,iBAAgB,OAAO,GAAE,IAAE,EAAE,GAAE,cAAa,iBAAgB,OAAO,GAAE,IAAE,EAAEA,KAAE,YAAW,iBAAgB,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,UACnqB,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,CAAC;AAAE,SAAM,EAAC,eAAc,EAAE,CAAC,GAAE,aAAY,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,gBAAe,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,mBAAmB,GAAE,IAAE,EAAE,GAAE,WAAU,qBAAoB,OAAO,GAAE,IAAE,EAAEA,KAAE,cAAa,qBAAoB,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,YAC7lB,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,YACzC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,oBAAmB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,kBAAkB,GAAE,IAAE,EAAE,GAAE,WAAU,oBAAmB,OAAO,GAAE,IAAE,EAAEA,KAAE,cAAa,oBAAmB,OAAO;AAAE,MAAG,EAAE,OAAK;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,WACvX,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM;AAAA,WACzC,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,mBAAkB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,GAAE,QAAO,gBAAe,QAAQ;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,iCAAiC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,+BAA+B,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,GAAE,cAAa,cAAc;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,uCAAuC;AAAE,MAAI,IAAE,EAAC,WAAUA,KAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,GAAE,IAAE,EAAC,MAAK,GAAE,YAAW,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,CAAC,GAAE,cAAa,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,eAAc,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,eAAc,QAAQ,GAAE,IAAE,EAAE,GAAE,aAAY,eAAc,QAAQ;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,+CAA+C,EAAE,OAAO;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAC,WAAUA,IAAC,GAAE,IAAE,EAAC,OAAM,GAAE,WAAU,EAAC,GAAE,IAAE,EAAE,UAAU,IAAG,GAAE,CAAC;AAAE,SAAM,EAAC,SAAQ,EAAE,CAAC,GAAE,QAAO,EAAE,CAAC,GAAE,OAAM,EAAE,CAAC,EAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,cAAa,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,SAAQ,0BAAyB,QAAQ,GAAE,IAAE,EAAC,YAAW,EAAC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAE,EAAC,OAAMA,IAAC;AAAE,SAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,yBAAwB,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAG;AAAC,MAAI,IAAE,EAAE,GAAE,SAAQ,sBAAqB,QAAQ,GAAE,IAAE,EAAC,SAAQ,GAAE,SAAQA,KAAE,eAAc,EAAC;AAAE,SAAO,EAAE,UAAU,IAAG,EAAC,GAAE,EAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,qBAAoB,GAAE,CAAC;AAAE,IAAI,KAAG,EAAC,KAAI,IAAG,MAAK,IAAG,MAAK,IAAG,OAAM,GAAE;AAAvC,IAAyC,KAAG,EAAC,eAAc,IAAG,YAAW,IAAG,OAAM,IAAG,MAAK,GAAE;AAA5F,IAA8F,KAAG,EAAC,eAAc,IAAG,gBAAe,IAAG,uBAAsB,IAAG,gBAAe,IAAG,kBAAiB,IAAG,eAAc,IAAG,mBAAkB,IAAG,wBAAuB,IAAG,4BAA2B,IAAG,iCAAgC,IAAG,yBAAwB,IAAG,8BAA6B,IAAG,WAAU,IAAG,WAAU,GAAE;AAAzZ,IAA2Z,KAAG,EAAC,UAAS,IAAG,aAAY,IAAG,IAAG,GAAE;AAA/b,IAAic,KAAG,EAAC,oBAAmB,IAAG,qBAAoB,IAAG,gBAAe,IAAG,WAAU,IAAG,WAAU,IAAG,SAAQ,IAAG,kBAAiB,IAAG,qBAAoB,IAAG,qBAAoB,GAAE;AAA1mB,IAA4mB,KAAG,EAAC,qBAAoB,IAAG,eAAc,IAAG,mBAAkB,IAAG,kBAAiB,GAAE;AAAhsB,IAAksB,KAAG,EAAC,cAAa,IAAG,aAAY,IAAG,wBAAuB,IAAG,oBAAmB,GAAE;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,eAAc,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,eAAc;AAAC,WAAO,KAAK,YAAY;AAAA,EAAS;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,GAAC;AAAA,EAAC;AAAC;AAArG,IAAuG,KAAG,MAAK;AAAA,EAAC,cAAa;AAAC,SAAK,eAAa,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAQ;AAAC,WAAO,GAAG,YAAU,SAAO,GAAG,WAAS,IAAI,OAAI,GAAG;AAAA,EAAQ;AAAA,EAAC,OAAO,SAAS,GAAE;AAAC,OAAG,OAAO,EAAE,aAAa,EAAE,SAAS,IAAE,CAAC,GAAE,EAAE,UAAU;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,IAAE,EAAE,aAAW,MAAK,MAAI,6EAA6E,GAAE,EAAE,OAAO,EAAE,aAAW,UAAS,MAAI,wDAAsD,OAAO,EAAE,SAAS,GAAE,EAAE,EAAE,UAAU,SAAO,GAAE,MAAI,mFAAmF,GAAE,GAAG,SAAS,CAAC;AAAC;AAAC,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,SAAS,GAAEA,MAAE,OAAG,GAAE;AAAC,QAAG,EAAC,OAAM,GAAE,OAAM,EAAC,IAAE,KAAK,iBAAiB,GAAE,CAAC;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,QAAO,EAAE,EAAE,IAAI,EAAC,EAAE;AAAE,WAAK,eAAe,CAAC;AAAA,IAAC;AAAM,WAAK,eAAe,CAAC;AAAE,WAAO,GAAG,CAAC,GAAEA,MAAE,KAAG,EAAE,QAAQ,GAAE;AAAA,EAAK;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAG,KAAK;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,SAAK,cAAY,KAAK,aAAW;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,WAAO,GAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,eAAa,QAAM,GAAG,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,iBAAgB;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,cAAY,IAAG,EAAC,MAAK,QAAO,QAAO,GAAG,KAAK,aAAY,OAAO,EAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,UAAM,IAAI,MAAM,yDAAyD;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,UAAM,IAAI,MAAM,4DAA4D,KAAK,aAAa,GAAG;AAAA,EAAC;AAAA,EAAC,MAAM,kBAAkB,GAAE;AAAC,WAAO,KAAK,eAAa,MAAM,EAAE,CAAC,EAAE,OAAO,KAAK,GAAG,CAAC,GAAE,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC;AAAE,OAAO,eAAe,IAAG,OAAO,aAAY,EAAC,OAAM,OAAG,EAAE,YAAU,QAAM,EAAE,oBAAkB,QAAM,EAAE,kBAAgB,KAAI,CAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAU;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,MAAK;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,MAAIA,KAAE,KAAK,UAAQ,GAAE,KAAK,mBAAiB,CAAC,GAAE,KAAK,qBAAmB,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,WAAK,iBAAiB,CAAC,KAAG,SAAO,KAAK,iBAAiB,CAAC,IAAE,EAAC,cAAa,GAAG,gBAAe,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,mBAAmB,CAAC,KAAG,SAAO,KAAK,mBAAmB,CAAC,IAAE,EAAC,cAAa,GAAG,eAAc,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,iBAAiB,CAAC,EAAE,UAAS,IAAE,KAAK,mBAAmB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,GAAE,KAAK,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,GAAG,CAAC,GAAE,IAAE,GAAG,GAAG,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,GAAE,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,GAAG,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,sBAAoB,SAAO,GAAG,KAAK,iBAAiB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,GAAG,KAAK,mBAAmB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAE;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,kBAAiB,GAAG,KAAK,kBAAkB;AAAE,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,mBAAiB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,qBAAmB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,KAAI,KAAK,KAAI,SAAQ,KAAK,QAAO;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,KAAIA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAS;AAAA,EAAC,YAAY,GAAEA,MAAE,KAAG;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,0BAAwBA,KAAE,KAAK,mBAAiB,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,WAAK,iBAAiB,CAAC,KAAG,SAAO,KAAK,iBAAiB,CAAC,IAAE,EAAC,cAAa,GAAG,iBAAgB,UAAS,GAAG,MAAI,GAAG,EAAE,OAAM,KAAK,uBAAuB,EAAE,SAAS,KAAE,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,iBAAiB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAE,GAAG,CAAC,CAAC;AAAE,UAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,GAAG,GAAE,EAAE,QAAQ,QAAQ,CAAC,CAAC,CAAC,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,oBAAkB,QAAM,GAAG,KAAK,iBAAiB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,iBAAiB,IAAI,QAAI,EAAC,MAAK,EAAE,cAAa,QAAO,EAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE;AAAG,SAAK,mBAAiB,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAASA,GAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,yBAAwB,KAAK,wBAAuB;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAM;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,MAAK;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,0BAAwB,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,WAAS,GAAGA,GAAC,EAAE,SAAS,GAAE,KAAK,WAAS,GAAG,CAAC,EAAE,SAAS;AAAA,IAAC,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,eAAe,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,OAAG,MAAI;AAAC,UAAI,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,GAAG,GAAE,KAAK,QAAQ;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,aAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,wBAAwB,CAAC,KAAG,SAAO,KAAK,wBAAwB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,YAAG,KAAG;AAAK;AAAO,YAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,wBAAwB,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,KAAK,OAAO,CAAC,GAAE,CAAC,KAAK,YAAY,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,SAAS,QAAQ,GAAE,KAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,2BAAyB,QAAM,GAAG,KAAK,wBAAwB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,wBAAuB,GAAG,KAAK,uBAAuB;AAAE,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,SAAS,OAAO,GAAG,KAAK,OAAM,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,OAAM,KAAK,cAAY,CAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAIA,MAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,yBAAuB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,0BAAwB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,OAAM,KAAK,OAAM,SAAQ,KAAK,QAAO;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,OAAMA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAQ;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,MAAK,IAAE,GAAE;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,QAAM,GAAE,KAAK,UAAQ,GAAE,KAAK,QAAM,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,6BAA2B,CAAC,GAAE,GAAG,MAAI;AAAC,WAAK,YAAU,GAAG,CAAC,EAAE,SAAS,GAAE,KAAK,WAAS,GAAGA,GAAC,EAAE,SAAS;AAAA,IAAC,CAAC,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ;AAAA,EAAE;AAAA,EAAC,eAAe,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC;AAAE,OAAG,MAAI;AAAC,UAAI,IAAE,GAAG,GAAE,KAAK,QAAQ,GAAE,IAAE,GAAG,CAAC,KAAK,cAAa,GAAG,GAAG,KAAK,WAAU,KAAK,KAAK,GAAE,CAAC,CAAC;AAAE,MAAAA,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,aAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,CAAC,EAAE,SAAS,CAAC,EAAC,IAAG,KAAK,2BAA2B,CAAC,KAAG,SAAO,KAAK,2BAA2B,CAAC,IAAE,EAAC,cAAa,GAAG,OAAM,UAAS,GAAG,CAAC,EAAE,SAAS,CAAC,EAAC;AAAG,YAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,YAAG,KAAG;AAAK;AAAO,YAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,2BAA2B,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAE,KAAK,KAAK,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,YAAI,IAAE,GAAG,GAAG,GAAG,GAAE,CAAC,GAAE,GAAG,GAAE,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,UAAU,OAAO,GAAG,KAAK,WAAU,CAAC,CAAC,GAAE,KAAK,SAAS,OAAO,GAAG,KAAK,UAAS,KAAK,KAAK,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,UAAU,QAAQ,GAAE,KAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,8BAA4B,QAAM,GAAG,KAAK,2BAA2B,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,UAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,UAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,OAAM,KAAK,OAAM,SAAQ,KAAK,SAAQ,OAAM,KAAK,MAAK;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,OAAMA,IAAE,SAAQA,IAAE,KAAK;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAK;AAAA,EAAC,YAAY,GAAE;AAAC,UAAM,GAAE,KAAK,eAAa,GAAE,KAAK,gBAAgB,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC;AAAE,UAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,SAAK,eAAa,GAAE,KAAK,KAAG,QAAM,KAAK,EAAE,QAAQ,GAAE,KAAK,IAAE,GAAG,GAAG,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,EAAE,QAAQ;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAG,IAAE,MAAM,KAAK,kBAAkB,CAAC,GAAE,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,+CAA+C;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,aAAY;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,YAAY;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAU;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,UAAM,CAAC,GAAE,KAAK,eAAa,GAAE,KAAK,WAASA,KAAE,KAAK,cAAY,GAAE,KAAK,gBAAc,CAAC,GAAE,KAAK,IAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC;AAAE,WAAK,cAAc,CAAC,KAAG,SAAO,KAAK,cAAc,CAAC,IAAE,EAAC,cAAa,GAAG,cAAa,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,KAAE,CAAC,EAAC;AAAG,UAAI,IAAE,KAAK,cAAc,CAAC,EAAE,UAAS,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,WAAG,QAAM,GAAG,MAAI;AAAC,YAAI,GAAE,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC;AAAE,aAAK,cAAY,IAAE,GAAG,GAAG,KAAK,GAAE,GAAG,GAAE,GAAG,GAAE,KAAK,CAAC,CAAC,CAAC,GAAE,CAAC,IAAE,IAAE,GAAG,GAAG,KAAK,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,EAAE,QAAQ,GAAE,KAAK,iBAAe,QAAM,GAAG,KAAK,cAAc,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,WAAS;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,WAAM,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,KAAK,cAAc,IAAI,QAAI,EAAC,MAAK,EAAE,cAAa,QAAO,EAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE;AAAG,SAAK,gBAAc,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAASA,GAAC,EAAC,EAAE;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,UAAS,KAAK,UAAS,aAAY,KAAK,YAAW;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,UAASA,IAAE,WAAW;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,WAAW,YAAW;AAAC,WAAM;AAAA,EAAS;AAAA,EAAC,YAAY,GAAEA,MAAE,KAAG,IAAE,GAAE,IAAE,MAAK,IAAE,OAAG;AAAC,QAAG,MAAM,GAAE,KAAK,eAAa,GAAE,KAAK,QAAMA,KAAE,KAAK,WAAS,GAAE,KAAK,UAAQ,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,qBAAmB,CAAC,GAAE,KAAK,uBAAqB,CAAC,GAAE,KAAK,WAAS,GAAE,KAAG,SAAO,KAAK,UAAQ,EAAE,QAAQ,QAAQ,IAAG,KAAG;AAAK,YAAM,IAAI,MAAM,oDAAoD;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,KAAC,MAAM,QAAQ,CAAC,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,IAAE,OAAO,KAAK,CAAC,GAAG,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE;AAAG,WAAK,uBAAuB,CAAC,KAAG,SAAO,KAAK,uBAAuB,CAAC,IAAE,EAAC,cAAa,GAAG,SAAQ,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,mBAAmB,CAAC,KAAG,SAAO,KAAK,mBAAmB,CAAC,IAAE,EAAC,cAAa,GAAG,cAAa,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC,IAAG,KAAK,qBAAqB,CAAC,KAAG,QAAM,KAAK,aAAW,KAAK,qBAAqB,CAAC,IAAE,EAAC,cAAa,GAAG,QAAO,UAAS,GAAG,MAAI,GAAG,CAAC,EAAE,SAAS,CAAC,CAAC,EAAC;AAAG,UAAI,IAAE,MAAM,QAAQ,CAAC,IAAE,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC;AAAE,UAAG,KAAG;AAAK;AAAO,UAAI,IAAE,KAAK,uBAAuB,CAAC,EAAE,UAAS,IAAE,KAAK,mBAAmB,CAAC,EAAE;AAAS,SAAG,MAAI;AAAC,YAAI,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC;AAAE,YAAG,KAAK,UAAS;AAAC,cAAI,IAAE,KAAK,qBAAqB,CAAC,EAAE,UAAS,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,YAAY,GAAE,GAAG,GAAG,GAAE,GAAG,GAAG,CAAC,GAAE,KAAK,OAAO,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,QAAQ,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,cAAI,IAAE,GAAG,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC;AAAA,QAAC,OAAK;AAAC,cAAI,IAAE,GAAG,GAAG,GAAE,KAAK,KAAK,GAAE,GAAG,GAAG,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,GAAG,GAAG,GAAE,KAAK,QAAQ,GAAE,GAAG,GAAG,GAAE,KAAK,YAAY,GAAE,GAAG,GAAG,GAAE,KAAK,OAAO,CAAC,CAAC,CAAC;AAAE,YAAE,OAAO,CAAC,GAAE,EAAE,OAAO,CAAC;AAAE,cAAI,IAAE,GAAG,GAAE,CAAC;AAAE,YAAE,OAAO,CAAC;AAAA,QAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,oBAAoB;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,0BAAwB,QAAM,GAAG,KAAK,uBAAuB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,wBAAsB,QAAM,KAAK,YAAU,GAAG,KAAK,qBAAqB,IAAI,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,sBAAoB,QAAM,GAAG,KAAK,mBAAmB,IAAI,OAAG,EAAE,QAAQ,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAY;AAAC,QAAI,IAAE,CAAC,GAAG,KAAK,wBAAuB,GAAG,KAAK,kBAAkB;AAAE,WAAO,KAAK,YAAU,EAAE,KAAK,GAAG,KAAK,oBAAoB,GAAE,CAAC,MAAM,KAAK,eAAe,CAAC,EAAE,OAAO,EAAE,IAAI,CAAAA,SAAI,EAAC,MAAKA,IAAE,cAAa,QAAOA,IAAE,SAAQ,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,WAAW,GAAE;AAAC,QAAE,MAAM,KAAK,kBAAkB,CAAC;AAAE,QAAIA,MAAE,KAAK,WAAS,EAAE,SAAO,IAAE,EAAE,SAAO,GAAE,IAAE;AAAG,SAAK,yBAAuB,EAAE,MAAM,GAAEA,GAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,qBAAmB,EAAE,MAAMA,KAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE,GAAE,KAAK,aAAW,KAAK,uBAAqB,EAAE,MAAMA,MAAE,GAAEA,MAAE,CAAC,EAAE,IAAI,QAAI,EAAC,cAAa,EAAE,MAAK,UAAS,EAAE,OAAO,SAAS,CAAC,EAAC,EAAE;AAAA,EAAE;AAAA,EAAC,YAAW;AAAC,WAAM,EAAC,cAAa,KAAK,cAAa,OAAM,KAAK,OAAM,UAAS,KAAK,UAAS,SAAQ,KAAK,SAAQ,UAAS,KAAK,SAAQ;AAAA,EAAC;AAAA,EAAC,OAAO,WAAW,GAAEA,KAAE;AAAC,WAAO,IAAI,EAAEA,IAAE,cAAaA,IAAE,OAAMA,IAAE,UAASA,IAAE,SAAQA,IAAE,QAAQ;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAS,KAAI;AAAC,WAAQ,KAAK;AAAG,OAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,cAAa,MAAI,IAAG,oBAAmB,MAAI,IAAG,yBAAwB,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,eAAc,MAAI,IAAG,YAAW,MAAI,IAAG,gBAAe,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,8BAA6B,MAAI,IAAG,8BAA6B,MAAI,IAAG,iBAAgB,MAAI,IAAG,gBAAe,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,aAAY,MAAI,IAAG,WAAU,MAAI,IAAG,oBAAmB,MAAI,IAAG,oBAAmB,MAAI,IAAG,aAAY,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAe,KAAG;AAAlB,IAA0B,KAAG;AAAe,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,QAAQ,OAAG,WAAW,CAAC,CAAC,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,YAAY;AAAE,YAAM,IAAI,MAAM,qFAAqF;AAAE,MAAE,WAAW,GAAG,UAAU,MAAI,IAAE,EAAE,MAAM,GAAG,WAAW,MAAM,KAAI,KAAG,QAAM,EAAE,WAAS,OAAK,IAAE,KAAI,KAAK,oBAAkB,IAAE,IAAG,KAAK,qBAAmB,IAAE;AAAA,EAAE;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,OAAO,YAAU;AAAY,YAAM,IAAI,MAAM,yFAAyF;AAAE,QAAIA,MAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,EAAE,UAAU,GAAE,EAAC,MAAK,2BAA0B,CAAC,CAAC;AAAE,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,uFAAuF;AAAE;AAAC,UAAI,IAAE,CAAC,EAAC,OAAM,CAAC,OAAK,KAAK,kBAAkB,GAAE,SAAQ,EAAE,YAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,OAAO,IAAI,gBAAgB,IAAI,KAAK,CAAC,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,MAAK,mBAAkB,CAAC,CAAC,GAAE,IAAE,KAAK,mBAAiB,OAAK,SAAS,cAAc,GAAG,IAAE,KAAK;AAAgB,UAAG,EAAE,WAAS,KAAK,mBAAkB,EAAE,OAAK,GAAE,MAAM,GAAG,MAAI,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC,GAAE,EAAE,cAAY,MAAK;AAAC,YAAI,IAAE,KAAK,oBAAkB,OAAK,SAAS,cAAc,GAAG,IAAE,KAAK;AAAiB,UAAE,WAAS,KAAK,oBAAmB,EAAE,OAAKA,KAAE,MAAM,GAAG,MAAI,EAAE,cAAc,IAAI,WAAW,OAAO,CAAC,CAAC;AAAA,MAAC;AAAC,aAAM,EAAC,oBAAmB,GAAG,CAAC,EAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAe,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAG,QAAM,EAAE,SAAO;AAAE,YAAM,IAAI,MAAM,wEAAwE,GAAG;AAAE,SAAK,WAAS,EAAE,CAAC,GAAE,KAAK,eAAa,EAAE,MAAM,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAEA,QAAI;AAAC,UAAI,IAAE,IAAI;AAAW,QAAE,SAAO,OAAG;AAAC,YAAI,IAAE,KAAK,MAAM,EAAE,OAAO,MAAM,GAAE,IAAE,EAAE;AAAc,YAAG,KAAG,MAAK;AAAC,UAAAA,IAAE,IAAI,MAAM,4CAA4C,KAAK,SAAS,MAAM,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,EAAE,mBAAiB,MAAK;AAAC,UAAAA,IAAE,IAAI,MAAM,6CAA6C,KAAK,SAAS,MAAM,CAAC;AAAE;AAAA,QAAM;AAAC,YAAG,KAAK,aAAa,WAAS,GAAE;AAAC,YAAE,EAAC,eAAc,EAAC,CAAC;AAAE;AAAA,QAAM;AAAC,YAAI,IAAE,GAAG,GAAE,OAAG,KAAK,YAAY,CAAC,CAAC;AAAE,UAAE,CAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAGA,IAAE,sEAAsE,KAAK,SAAS,2EAA2E,GAAE,EAAE,WAAW,KAAK,QAAQ;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,KAAK,GAAG,EAAE,OAAO,GAAE,EAAE,KAAK,GAAG,EAAE,KAAK;AAAE,QAAI,IAAE,KAAK,4BAA4B,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,gBAAgB,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,WAAO,QAAQ,IAAI,CAAC,EAAE,KAAK,OAAG,CAACA,KAAE,GAAG,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE;AAAC,WAAO,IAAI,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,IAAI;AAAW,QAAE,SAAO,OAAG;AAAC,YAAI,IAAE,EAAE,OAAO;AAAO,UAAE,CAAC;AAAA,MAAC,GAAE,EAAE,UAAQ,OAAG,EAAE,6CAA6C,KAAK,GAAE,EAAE,kBAAkBA,GAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,4BAA4B,GAAE;AAAC,QAAIA,MAAE,CAAC,GAAE,IAAE,KAAK,aAAa,IAAI,OAAG,GAAG,EAAE,IAAI,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,QAAE,MAAM,QAAQ,OAAG;AAAC,YAAI,IAAE,GAAG,CAAC;AAAE,YAAGA,IAAE,QAAQ,CAAC,MAAI;AAAG,gBAAM,IAAI,MAAM,uDAAuD,IAAI;AAAE,YAAGA,IAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,CAAC,MAAI;AAAG,gBAAM,IAAI,MAAM,8BAA8B,qBAAqB;AAAE,UAAE,CAAC,IAAE,KAAK,aAAa,EAAE,QAAQ,CAAC,CAAC;AAAA,MAAC,CAAC;AAAE,QAAGA,IAAE,WAAS,KAAK,aAAa;AAAO,YAAM,IAAI,MAAM,wDAAwDA,IAAE,oDAAoD,KAAK,aAAa,UAAU;AAAE,WAAO;AAAA,EAAC;AAAC;AAA7xD,IAA+xD,KAAG,OAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,CAAC,MAAM,QAAQ,CAAC,KAAG,EAAE,WAAW,GAAG,UAAU,IAAE,GAAG,EAAE,MAAM,GAAG,WAAW,MAAM,CAAC,IAAE;AAAK,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,IAAE,SAAQ;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAK,SAAO,CAAC,GAAE,KAAK,qBAAmB,GAAE,aAAa,UAAQ,IAAE,CAAC,CAAC,IAAG,IAAE,EAAE,IAAI,OAAG,GAAG,CAAC,IAAE,EAAE,SAAO,CAAC,GAAE,EAAE,WAAS;AAAE;AAAO,SAAK,oBAAkB,EAAE,CAAC,EAAE;AAAW,QAAIA,MAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,YAAI,EAAE,SAAO,KAAG,EAAE,eAAa,KAAK,sBAAoB,KAAK,oBAAkB;AAAQ,UAAI,IAAEA,MAAE,EAAE;AAAW,WAAK,OAAO,KAAK,EAAC,QAAO,GAAE,OAAMA,KAAE,KAAI,EAAC,CAAC,GAAEA,MAAE;AAAA,IAAC;AAAC,SAAK,OAAO,WAAS,MAAI,KAAK,aAAW,IAAG,KAAK,aAAW,KAAK,OAAO,KAAK,OAAO,SAAO,CAAC,EAAE;AAAA,EAAG;AAAA,EAAC,MAAM,IAAE,GAAEA,MAAE,KAAK,YAAW;AAAC,QAAG,IAAE,MAAM,OAAO,CAAC,CAAC,IAAE,IAAE,GAAEA,MAAE,MAAM,OAAOA,GAAC,CAAC,IAAE,IAAEA,KAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAEA,MAAE,KAAK,IAAI,KAAK,YAAWA,GAAC,GAAEA,OAAG;AAAE,aAAO,IAAI,YAAY,CAAC;AAAE,QAAI,IAAE,KAAK,iBAAiB,CAAC;AAAE,QAAG,MAAI;AAAG,YAAM,IAAI,MAAM,uCAAuC,GAAG;AAAE,QAAI,IAAEA,MAAE,GAAE,IAAE,IAAI,YAAY,CAAC,GAAE,IAAE,IAAI,WAAW,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,OAAO,QAAO,KAAI;AAAC,UAAI,IAAE,KAAK,OAAO,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,OAAM,IAAE,GAAE,IAAE,KAAK,IAAIA,KAAE,EAAE,GAAG,IAAE,EAAE,OAAM,IAAE,IAAI,WAAW,EAAE,OAAO,MAAM,GAAE,CAAC,CAAC;AAAE,UAAG,EAAE,IAAI,GAAE,CAAC,GAAE,KAAG,EAAE,QAAOA,MAAE,EAAE;AAAI;AAAA,IAAK;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,QAAG,KAAK,OAAO,WAAS,KAAG,IAAE,KAAG,KAAG,KAAK;AAAW,aAAM;AAAG,QAAG,KAAK,qBAAmB;AAAK,aAAO,KAAK,qBAAmB,KAAK,MAAM,IAAE,KAAK,iBAAiB,GAAE,KAAK;AAAmB,aAASA,IAAE,GAAE;AAAC,aAAO,IAAE,EAAE,QAAM,KAAG,KAAG,EAAE,MAAI,IAAE;AAAA,IAAC;AAAC,QAAGA,IAAE,KAAK,OAAO,KAAK,kBAAkB,CAAC,MAAI;AAAE,aAAO,KAAK;AAAmB,QAAI,IAAE,GAAG,KAAK,QAAOA,GAAC;AAAE,WAAO,MAAI,KAAG,MAAI,KAAK,qBAAmB,GAAE,KAAK;AAAA,EAAmB;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,EAAE;AAAO,SAAKA,OAAG,KAAG;AAAC,QAAI,IAAE,KAAK,OAAO,IAAEA,OAAG,CAAC,IAAEA,KAAE,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAG,MAAI;AAAE,aAAO;AAAE,QAAE,IAAE,IAAE,IAAEA,MAAE,IAAE;AAAA,EAAC;AAAC,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,IAAE,CAAC,GAAEA,MAAEA,OAAG,OAAK,IAAEA,KAAE,IAAE,KAAG,OAAK,IAAE,GAAE,EAAEA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE,QAAI,EAAE,KAAK,OAAG;AAAC,QAAI,IAAEA,MAAG,EAAE,IAAE,EAAE,UAAQ,IAAEA;AAAG,WAAO,EAAE,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE;AAAG,WAAS,EAAE,GAAE;AAAC,MAAE,KAAG,QAAM,MAAM,QAAQ,CAAC,KAAG,EAAE,SAAO,GAAE,MAAI,qCAAqC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE,GAAE;AAAC,MAAE,KAAG,KAAG,KAAG,GAAE,MAAI,oEAAoE,GAAG,GAAE,EAAE,KAAG,KAAG,KAAG,GAAE,MAAI,kEAAkE,GAAG,GAAE,EAAE,KAAG,GAAE,MAAI,yEAAyE,qBAAqB,GAAG;AAAA,EAAC;AAAC,SAAO,QAAQ,IAAI,EAAE,IAAI,CAAC,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,OAAG,SAAO,IAAE,CAAC;AAAG,MAAIA,MAAE,EAAE,aAAW,OAAK,EAAE,EAAE,SAAS,QAAM,EAAE,WAAU,IAAE,EAAE,IAAI,OAAGA,IAAE,GAAE,EAAE,aAAY,EAAC,UAAS,KAAE,CAAC,CAAC,GAAE,IAAE,GAAE,IAAE,KAAG,KAAG,EAAE,cAAY,OAAK,MAAM,QAAQ,IAAI,CAAC,IAAE,MAAM,GAAG,GAAE,EAAE,YAAW,GAAE,CAAC,GAAG,IAAI,OAAG,EAAE,YAAY,CAAC,GAAE,IAAE,KAAG,IAAE;AAAE,SAAO,EAAE,cAAY,OAAK,MAAM,QAAQ,IAAI,CAAC,IAAE,MAAM,GAAG,GAAE,EAAE,YAAW,GAAE,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,IAAE,IAAGA,KAAE,GAAE;AAAC,SAAO,GAAG,OAAG,GAAG,GAAE,EAAC,aAAY,EAAC,CAAC,CAAC,EAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,OAAM,GAAEA,MAAE,IAAG,MAAI;AAAC,QAAI,IAAE,EAAE,IAAI,MAAI,KAAE,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,OAAK,EAAE,IAAI,MAAI,KAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE;AAAE,QAAE,QAAQ,QAAQ,OAAG;AAAC,YAAI,IAAE,kBAAiB,IAAE,EAAE,aAAa,QAAM,EAAE,OAAM,IAAE,GAAG,CAAC,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,MAAI;AAAC,YAAE,CAAC,IAAE,MAAG,EAAE,CAAC,KAAG,SAAO,EAAE,CAAC,IAAE,CAAC,IAAG,EAAE,CAAC,EAAE,KAAK,EAAC,eAAc,GAAE,aAAY,GAAE,WAAU,EAAC,CAAC;AAAA,QAAC;AAAE,aAAG,OAAK,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,gBAAI,EAAE,SAAO,EAAE,GAAE,EAAE,CAAC,IAAE;AAAA,QAAG,CAAC,IAAE,EAAE,GAAE,EAAE,KAAK,EAAE,IAAI,GAAE,KAAG;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,CAAC,EAAE,MAAM,OAAG,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,CAAC,EAAE,CAAC,CAAC;AAAE,YAAM,IAAI,MAAM,kDAAkD,EAAE,KAAK,IAAI;AAAA,wCAC9mtB,EAAE,KAAK,IAAI,IAAI;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,GAAE,OAAK,KAAG,EAAE,KAAK,CAAC,GAAE,IAAG,CAAC,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,QAAE,CAAC,EAAE,MAAM,QAAQ,OAAG;AAAC,YAAI,IAAEA,OAAGA,IAAE,SAAS,GAAG,IAAE,KAAG,OAAK;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,MAAM,EAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAO,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC,EAAE,MAAM,QAAO,IAAE,IAAI,GAAG,EAAE,MAAM,GAAE,IAAE,CAAC,CAAC;AAAE,QAAE,CAAC,EAAE,QAAQ,OAAG;AAAC,YAAI,IAAE,EAAE,MAAM,EAAE,aAAY,EAAE,cAAY,EAAE,SAAS,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,aAAa,CAAC;AAAE,iBAAQ,KAAK;AAAE,YAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC,CAAC,GAAE,KAAG;AAAA,IAAC,CAAC,GAAE;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAkC,KAAG;AAArC,IAAwD,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,QAAG,KAAK,iBAAe,QAAOA,OAAG,SAAOA,MAAE,CAAC,IAAG,KAAK,mBAAiBA,IAAE,kBAAiB,KAAK,aAAWA,IAAE,YAAW,KAAK,qBAAmBA,IAAE,oBAAmBA,IAAE,aAAW,QAAM,EAAE,OAAOA,IAAE,aAAW,YAAW,MAAI,6HAA6H,GAAE,KAAK,QAAMA,IAAE,aAAW,KAAK,QAAM,EAAE,EAAE,SAAS,OAAM,EAAE,KAAG,QAAM,EAAE,SAAO,GAAE,MAAI,yDAAyD,GAAE,MAAM,QAAQ,CAAC,KAAG,EAAE,EAAE,WAAS,GAAE,MAAI,iEAAiE,EAAE,UAAU,GAAE,KAAK,OAAK,GAAEA,IAAE,eAAa,QAAMA,IAAE,YAAY,QAAM;AAAK,YAAM,IAAI,MAAM,oEAAoE;AAAE,SAAK,cAAYA,IAAE,eAAa,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,EAAE,yBAAyB;AAAY,YAAM,IAAI,MAAM,yFAAyF;AAAE,QAAIA,MAAE,OAAO,OAAO,EAAC,QAAO,KAAK,eAAc,GAAE,KAAK,WAAW;AAAE,IAAAA,IAAE,OAAK,IAAI;AAAS,QAAI,IAAE,CAAC,EAAC,OAAM,CAAC,qBAAqB,GAAE,SAAQ,EAAE,YAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,IAAAA,IAAE,KAAK,OAAO,cAAa,IAAI,KAAK,CAAC,KAAK,UAAU,CAAC,CAAC,GAAE,EAAC,MAAK,GAAE,CAAC,GAAE,YAAY,GAAE,EAAE,cAAY,QAAMA,IAAE,KAAK,OAAO,qBAAoB,IAAI,KAAK,CAAC,EAAE,UAAU,GAAE,EAAC,MAAK,GAAE,CAAC,GAAE,mBAAmB;AAAE,QAAI,IAAE,MAAM,KAAK,MAAM,KAAK,MAAKA,GAAC;AAAE,QAAG,EAAE;AAAG,aAAM,EAAC,oBAAmB,GAAG,CAAC,GAAE,WAAU,CAAC,CAAC,EAAC;AAAE,UAAM,IAAI,MAAM,gEAAgE,EAAE,SAAS;AAAA,EAAC;AAAA,EAAC,MAAM,OAAM;AAAC,QAAI,IAAE,MAAM,KAAK,MAAM,KAAK,MAAK,KAAK,WAAW;AAAE,QAAG,CAAC,EAAE;AAAG,YAAM,IAAI,MAAM,cAAc,KAAK,gCAAgC,EAAE,+EAA+E;AAAE,QAAIA;AAAE,QAAG;AAAC,MAAAA,MAAE,MAAM,EAAE,KAAK;AAAA,IAAC,SAAO,GAAN;AAAS,UAAI,IAAE,+CAA+C,KAAK;AAAQ,YAAM,KAAK,KAAK,SAAS,KAAK,IAAE,KAAG,iVAA+U,KAAG,wEAAuE,IAAI,MAAM,CAAC;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,eAAc,IAAEA,IAAE;AAAgB,QAAG,KAAG,QAAM,KAAG;AAAK,YAAM,IAAI,MAAM,2BAA2B,KAAK,+DAA+D;AAAE,WAAO,GAAGA,KAAE,OAAG,KAAK,YAAY,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,YAAY,GAAE;AAAC,QAAIA,MAAE,MAAM,QAAQ,KAAK,IAAI,IAAE,KAAK,KAAK,CAAC,IAAE,KAAK,MAAK,CAAC,GAAE,CAAC,IAAE,GAAGA,GAAC,GAAE,IAAE,KAAK,oBAAkB,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,eAAQ,KAAK,EAAE;AAAM,aAAK,sBAAoB,OAAK,EAAE,KAAK,KAAK,mBAAmB,CAAC,CAAC,IAAE,EAAE,KAAK,IAAE,IAAE,CAAC;AAAE,SAAK,sBAAoB,EAAE,KAAK,GAAG,MAAM,QAAQ,IAAI,CAAC,CAAC;AAAE,QAAI,IAAE,MAAM,GAAG,GAAE,EAAC,aAAY,KAAK,aAAY,WAAU,KAAK,OAAM,YAAW,KAAK,WAAU,CAAC;AAAE,WAAM,CAAC,GAAE,GAAG,CAAC,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,mBAAiB;AAAe,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,YAAY,GAAG,GAAEA,MAAE,EAAE,YAAY,GAAG,GAAE,IAAE,EAAE,UAAU,GAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,EAAE,UAAUA,GAAC,IAAE;AAAG,SAAM,CAAC,IAAE,KAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,MAAM,GAAG,gBAAgB,KAAG;AAAI;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI;AAAC,MAAG,OAAO,SAAO,gBAAc,KAAG,QAAM,EAAE,aAAW;AAAM,WAAO;AAAK;AAAC,QAAIA,MAAE;AAAG,QAAG,MAAM,QAAQ,CAAC,IAAEA,MAAE,EAAE,MAAM,OAAG,GAAG,CAAC,CAAC,IAAEA,MAAE,GAAG,CAAC,GAAEA;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAI;AAAE,GAAG,mBAAmB,EAAE;AAAE,GAAG,mBAAmB,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAI,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,iBAAe;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK;AAAA,EAAc;AAAC;AAApF,IAAsF,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,WAAO,KAAK,YAAY,CAAC;AAAA,EAAC;AAAC;AAApK,IAAsK,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,MAAE,SAAO,KAAK,OAAK,MAAI,QAAQ,QAAQ,EAAE,KAAK,CAAC,IAAG,EAAE,SAAO,KAAK,OAAK,CAAAA,QAAG,QAAQ,QAAQ,EAAE,KAAKA,GAAC,CAAC;AAAA,EAAE;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE;AAAU,SAAO,IAAI,GAAG,GAAG,GAAG,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,UAAU,WAAS,IAAE,EAAE,iBAAe,QAAM,EAAE,eAAa,OAAK,IAAI,GAAG,CAAC,KAAG,QAAQ,KAAK,uNAAuN,GAAE,IAAI,GAAG,EAAC,eAAc,EAAC,CAAC,MAAI,QAAQ,KAAK,uNAAuN,GAAE,IAAI,GAAG,EAAC,eAAc,GAAE,aAAY,GAAE,YAAWA,KAAE,gBAAe,EAAC,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,GAAE,UAAS,iBAAiB,GAAE,IAAE,EAAE,GAAE,eAAc,iBAAiB;AAAE,IAAEA,OAAG,QAAMA,MAAE,KAAG,OAAO,UAAUA,GAAC,GAAE,MAAI,+DAA+DA,KAAG,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,gDAAgD,EAAE,MAAM,GAAE,EAAE,EAAE,SAAO,GAAE,MAAI,qDAAqD,EAAE,MAAM,GAAE,EAAE,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC,GAAE,MAAI,uCAAuC,EAAE,MAAM,CAAC,SAAS,EAAE,MAAM,CAAC,oEAAoE,GAAE,EAAEA,MAAE,KAAG,OAAO,UAAUA,GAAC,GAAE,MAAI,4DAA4DA,KAAG;AAAE,MAAI,IAAE,GAAG,GAAG,GAAE,OAAO,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAG,GAAE,OAAO,GAAEA,GAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,OAAO;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,kBAAiB,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,YAAW,MAAI,IAAG,iBAAgB,MAAI,IAAG,UAAS,MAAI,GAAE,CAAC;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,gEAAgE;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAIA,MAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE;AAAG,MAAG,EAAE,gBAAgB;AAAW,IAAAA,MAAE;AAAA,WAAW,OAAO,aAAW,eAAa,aAAa;AAAU,QAAE;AAAA,WAAW,OAAO,oBAAkB,eAAa,aAAa;AAAiB,QAAE;AAAA,WAAW,OAAO,oBAAkB,eAAa,aAAa;AAAiB,QAAE;AAAA,WAAW,EAAE,cAAY;AAAK,QAAE;AAAA,WAAW,OAAO,eAAa,eAAa,aAAa;AAAY,QAAE;AAAA;AAAQ,UAAM,IAAI,MAAM,qPAAqP,EAAE,YAAY,MAAM;AAAE,MAAG,GAAG,IAAG,EAAE,WAAW,KAAG,MAAK;AAAC,QAAI,IAAE,EAAC,QAAO,EAAC,GAAE,IAAE,EAAC,aAAY,EAAC;AAAE,WAAO,EAAE,UAAU,IAAG,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE;AAAE,MAAG;AAAE,QAAE,EAAE,WAAW,IAAI,EAAE,aAAa,GAAE,GAAE,GAAE,CAAC,EAAE;AAAA,WAAa,KAAGA;AAAE,QAAE,EAAE;AAAA,WAAa,KAAG,KAAG,GAAE;AAAC,QAAG,MAAI;AAAK,UAAG,OAAO,YAAU;AAAY,YAAG,OAAO,mBAAiB,eAAa,OAAO,qCAAmC;AAAY,eAAG,IAAI,gBAAgB,GAAE,CAAC,EAAE,WAAW,IAAI;AAAA;AAAO,gBAAM,IAAI,MAAM,sGAAsG;AAAA;AAAO,aAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,KAAE,CAAC;AAAE,OAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,aAAa,GAAE,GAAE,GAAE,CAAC,EAAE;AAAA,EAAI;AAAC,MAAI;AAAE,MAAG,MAAI;AAAE,QAAE,IAAI,WAAW,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAE;AAAE,QAAE,IAAI,WAAW,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,OAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,QAAM,EAAE,gBAAgB;AAAU;AAAC,SAAS,KAAI;AAAC,SAAO,OAAO,UAAQ,eAAa,OAAO,eAAa,eAAa,OAAO,eAAe,mBAAmB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,QAAM,EAAE,UAAQ,KAAG,EAAE,WAAS;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,KAAG,EAAE,aAAa,gBAAc,GAAG,CAAC,KAAG,CAAC,GAAG,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,IAAE,GAAE;AAAC,MAAIA,MAAE;AAAK,MAAG,EAAE,EAAE,QAAQ,qBAAqB,KAAG,GAAG,CAAC,GAAE;AAAC,QAAI;AAAE,QAAG;AAAC,UAAE,MAAM,kBAAkB,GAAE,EAAC,kBAAiB,OAAM,CAAC;AAAA,IAAC,SAAO,GAAN;AAAS,UAAE;AAAA,IAAI;AAAC,SAAG,QAAM,EAAE,UAAQ,EAAE,SAAO,EAAE,WAAS,EAAE,SAAOA,MAAE,IAAEA,MAAE;AAAA,EAAC;AAAM,IAAAA,MAAE;AAAE,SAAO,GAAGA,KAAE,CAAC;AAAC;AAAC,eAAe,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,GAAE,OAAM,UAAU;AAAE,MAAG,EAAE,aAAa,KAAI;AAAC,QAAI,IAAEA;AAAE,IAAAA,MAAE,GAAG,GAAE,OAAO,GAAE,EAAE,QAAQ;AAAA,EAAC;AAAC,MAAGA,IAAE,SAAO,KAAGA,IAAE,SAAO;AAAE,UAAM,IAAI,MAAM,wDAAwDA,IAAE,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAEA,IAAE,MAAM,MAAM,GAAE,CAAC,GAAE,IAAEA,IAAE,SAAO,IAAE,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,IAAE,KAAG,MAAI;AAAE,UAAM,IAAI,MAAM,0DAA0D,GAAG;AAAE,MAAGA,IAAE,UAAQ,aAAWA,IAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,kCAAkCA,IAAE,6CAA6C;AAAE,MAAI,IAAE,MAAMA,IAAE,KAAK,GAAE,IAAEA,IAAE,UAAQ,YAAU,MAAI,GAAE,IAAE,IAAI,kBAAkB,IAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,CAAC,GAAE,GAAE,GAAE,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,UAAGA,IAAE,UAAQ,WAAU;AAAC,YAAG,IAAE,KAAG,IAAE;AAAE,gBAAM,IAAI,MAAM,mFAAmF,IAAI;AAAA,MAAC,WAASA,IAAE,UAAQ,YAAU,IAAE,KAAG,IAAE;AAAK,cAAM,IAAI,MAAM,mFAAmF,IAAI;AAAE,YAAI,KAAG,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,CAAC,IAAE,IAAE,GAAE,EAAE,CAAC,IAAE,IAAE,KAAG,EAAE,CAAC,IAAE,IAAE;AAAA,IAAC;AAAC,QAAI,IAAE,IAAE;AAAE,MAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,MAAE,QAAM,GAAE,EAAE,SAAO;AAAE,QAAI,IAAE,EAAE,WAAW,IAAI,GAAE,IAAE,IAAI,UAAU,GAAE,GAAE,CAAC;AAAE,MAAE,aAAa,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,QAAI,KAAGA,IAAE,QAAQ,GAAE;AAAC;AAAC,IAAI,KAAG,EAAE,EAAC,aAAY,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,oBAAmB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM;AAAO,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,4EAA4EA,MAAI;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,8EAA8E,IAAI;AAAE,MAAG,EAAE,UAAQ;AAAQ,UAAM,IAAI,MAAM,yEAAyE,EAAE,QAAQ;AAAE,MAAG,EAAE,MAAM,IAAE,CAAC,IAAEA;AAAE,UAAM,IAAI,MAAM,iEAAiE,EAAE,MAAM,IAAE,CAAC,SAASA,KAAG;AAAE,MAAG,GAAG,EAAE,KAAK,MAAI;AAAE,UAAM,IAAI,MAAM,mEAAmE,EAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE;AAAE,SAAG,EAAE,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM;AAAE,IAAE,IAAI;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE;AAAE,SAAG,EAAE,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,GAAG,EAAE,KAAK,EAAE,IAAI,OAAG,IAAE,CAAC,GAAE,CAAC,EAAE,MAAM,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,iBAAgB,MAAI,IAAG,mBAAkB,MAAI,IAAG,kBAAiB,MAAI,IAAG,YAAW,MAAI,IAAG,kBAAiB,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,4BAA2B,MAAI,IAAG,aAAY,MAAI,IAAG,2BAA0B,MAAI,IAAG,gBAAe,MAAI,IAAG,uBAAsB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG;AAAP,IAAU,KAAG;AAAG,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,MAAI,EAAE,QAAO,MAAI,iBAAiB,uBAAuB,uCAAuC,KAAK,GAAE,EAAE,MAAIA,IAAE,QAAO,MAAI,iBAAiB,sBAAsBA,yCAAuC,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,EAAE,CAAC,IAAEA,IAAE,CAAC,KAAG,EAAE,MAAM,CAAC,GAAE,MAAI,iBAAiB,aAAa,aAAa,OAAO,EAAE,CAAC,IAAEA,IAAE,CAAC,iCAAiC,OAAO,EAAE,MAAM,CAAC,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC,GAAEA,MAAE;AAAE,SAAK,IAAE;AAAG,QAAE,KAAG,EAAE,KAAKA,GAAC,GAAE,KAAG,GAAEA;AAAI,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,IAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC;AAAE,WAAQ,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO;AAAI,MAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,UAAI,IAAE,EAAE,CAAC,IAAE,KAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,EAAE,IAAI;AAAG,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAOA,OAAG,IAAEA,MAAEA,OAAG,IAAE;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,IAAE,KAAK,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,MAAG,EAAE,UAAQA,MAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE;AAAE,QAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAM,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAM,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,QAAQ,CAAC,IAAE;AAAG,QAAE,CAAC,IAAE;AAAA,SAAM;AAAC,UAAI,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,KAAG,MAAI,IAAE,IAAG,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAG,EAAE,QAAQ,CAAC,IAAE;AAAG,QAAE,CAAC,IAAE,OAAO;AAAA,SAAqB;AAAC,UAAI,IAAE,GAAG,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,KAAG,MAAI,IAAE,OAAO,mBAAkB,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,KAAG,IAAG,EAAE,CAAC,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,UAAOA,MAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,KAAG;AAAE,GAAC,IAAE,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAE,IAAE,OAAO,mBAAiB,IAAE,OAAO;AAAkB,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,MAAI,KAAG,IAAG,IAAE,GAAG,GAAE,GAAE,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,KAAG;AAAE,GAAC,IAAE,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,UAAQ,IAAE,IAAE,IAAE,OAAO,mBAAiB,IAAE,OAAO;AAAkB,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,MAAI,KAAG,IAAG,IAAE,IAAE,IAAE,GAAG,GAAE,GAAE,CAAC,IAAE,IAAE,GAAG,IAAG,GAAE,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE;AAAO,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAGA,IAAE,CAAC,IAAE,GAAE;AAAC,UAAE;AAAE;AAAA,IAAK;AAAC,WAAQ,IAAE,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAG,EAAE,CAAC,IAAE,KAAGA,IAAE,CAAC,MAAI,EAAE,CAAC;AAAE,aAAM;AAAG,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,SAAO,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,IAAAA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,GAAE,IAAE,EAAE,MAAM;AAAO,SAAO,KAAG,WAAS,IAAE,CAAC,GAAE,GAAG,IAAI,MAAM,IAAE,CAAC,EAAE,KAAK,CAAC,CAAC,IAAE,EAAE,SAAO,IAAE,IAAE,EAAE,OAAO,IAAI,MAAM,IAAE,EAAE,MAAM,EAAE,KAAK,CAAC,CAAC,IAAE,IAAE,EAAE,MAAM,GAAE,EAAE,QAAQ,OAAG;AAAC,MAAE,MAAI,IAAG,MAAI,mDAAmD;AAAA,EAAC,CAAC;AAAE,MAAI;AAAE,SAAOA,OAAG,OAAK,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,IAAE,OAAOA,OAAG,WAAS,IAAE,CAACA,KAAE,GAAG,IAAI,MAAM,IAAE,CAAC,EAAE,KAAK,EAAE,CAAC,IAAEA,IAAE,SAAO,IAAE,IAAEA,IAAE,OAAO,IAAI,MAAM,IAAEA,IAAE,MAAM,EAAE,KAAK,EAAE,CAAC,IAAE,IAAEA,KAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,IAAE,KAAG,EAAE,MAAI,IAAG,MAAI,qDAAqD,mCAAmC,IAAI,GAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,EAAE,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI;AAAE,MAAG,KAAG,QAAM,IAAE,IAAI,MAAM,EAAE,MAAM,GAAE,EAAE,KAAK,CAAC,KAAG,IAAE,GAAE,KAAG,QAAM,IAAE,IAAE;AAAE,UAAM,IAAI,MAAM,4CAA4C;AAAE,MAAI,IAAE,OAAG,IAAE,EAAC,MAAK,EAAE,QAAO,yBAAwB,GAAE,OAAM,EAAE,MAAM,GAAE,KAAIA,IAAE,MAAM,GAAE,SAAQ,EAAE,MAAM,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,SAAG,KAAG,IAAE,KAAG,EAAE,2BAA0B,KAAG,IAAE,MAAI,IAAE;AAAI,QAAI,EAAE,gBAAc,KAAG,EAAE,MAAK,EAAE;AAAQ,MAAI,IAAE,EAAC,MAAK,EAAE,QAAO,WAAU,GAAE,SAAQ,GAAE,YAAW,OAAG,UAAS,MAAE;AAAE,KAAG,GAAE,CAAC;AAAE,MAAI,IAAE,MAAG,IAAE,MAAG,IAAE,MAAG,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAG,EAAE,QAAQ,CAAC,MAAI;AAAE,YAAM,MAAM,WAAW,qBAAqB;AAAE,QAAI,IAAE,CAAC,EAAE,EAAE,iBAAe,KAAG,IAAG,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI,IAAG;AAAC,QAAE,KAAK,IAAE,IAAE,EAAE;AAAE;AAAA,IAAQ;AAAC,QAAI,IAAE,CAAC,EAAE,YAAU,KAAG,GAAE,EAAE,UAAQ,KAAG,CAAC,GAAE,IAAE,CAAC,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAG,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,QAAG,KAAG,EAAE,QAAQ,CAAC,KAAG;AAAE,YAAM,MAAM,8CAA8C;AAAE,QAAE,KAAG,EAAE,QAAQ,CAAC,MAAI;AAAE,QAAI,IAAE,CAAC,EAAE,EAAE,YAAU,KAAG,KAAG,EAAE,UAAQ,KAAG;AAAG,QAAG,EAAE,cAAY,EAAE,UAAS;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,EAAE,MAAM,CAAC,IAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,YAAG,EAAE,MAAM,CAAC,IAAE,GAAE,EAAE,IAAI,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,KAAG,KAAG;AAAE,gBAAM,MAAM,eAAe,EAAE,MAAM,CAAC,kBAAkB,kBAAkB;AAAA,MAAC;AAAM,UAAE,MAAM,CAAC,IAAE,GAAG,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,QAAQ,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,IAAI,CAAC,IAAE,GAAG,EAAE,IAAI,CAAC,GAAE,GAAE,EAAE,QAAQ,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,UAAI,IAAE,EAAE,QAAQ,CAAC,MAAI,KAAG,EAAE,MAAM,CAAC,MAAI,KAAG,EAAE,IAAI,CAAC,MAAI;AAAE,UAAE,KAAG,GAAE,IAAE,MAAI,MAAI,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG;AAAA,IAAE;AAAM,UAAE,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG,GAAE,IAAE,MAAI,MAAI,KAAG,EAAE,QAAQ,CAAC,MAAI,KAAG;AAAG,QAAI,GAAE,IAAE;AAAG,QAAG,EAAE,cAAY,EAAE,YAAU,IAAE,EAAE,IAAI,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,QAAI,KAAG,IAAE,GAAE,IAAE,QAAI,KAAG,KAAG,MAAI,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,CAAC,IAAE,IAAE,GAAE,IAAE,OAAI,GAAE;AAAC,UAAI;AAAE,YAAI,KAAG,IAAE,KAAG,EAAE,QAAQ,CAAC,IAAE,IAAE,IAAE,IAAE,IAAE,KAAK,MAAM,IAAE,EAAE,QAAQ,CAAC,CAAC,KAAG,IAAE,EAAE,QAAQ,CAAC,MAAI,IAAE,IAAE,IAAG,EAAE,KAAK,CAAC;AAAA,IAAC;AAAM,QAAE,KAAK,EAAE;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,wBAAwB,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,wBAAwB,CAAC;AAAE,SAAG,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC,IAAE,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,kBAAiB,EAAE,OAAO,CAAC,GAAE,MAAI,EAAE,wBAAwB,CAAC,MAAI,EAAE,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,EAAE,OAAM,KAAI,EAAE,KAAI,SAAQ,EAAE,QAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,IAAE,YAAU,GAAE,EAAE,UAAQ,GAAE,EAAE,iBAAe;AAAE,MAAIA,MAAE;AAAE,IAAE,aAAW,EAAE,SAAO,MAAK,EAAE,WAAS,EAAE,OAAK,MAAK,EAAE,QAAM,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,MAAI,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,UAAQ,IAAI,MAAM,EAAE,IAAI,GAAE,EAAE,0BAAwB,CAAC,GAAE,EAAE,gCAA8B,CAAC,GAAE,EAAE,gCAA8B,IAAI,MAAM,EAAE,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK;AAAI,QAAG,KAAG,IAAE,EAAE,cAAa;AAAC,UAAI,IAAE,KAAK,IAAI,EAAE,QAAM,EAAE,OAAK,KAAG,IAAE,EAAE,yBAAwB,EAAE,IAAI;AAAE,aAAKA,MAAE,GAAEA;AAAI,UAAE,MAAMA,GAAC,IAAE,GAAE,EAAE,IAAIA,GAAC,IAAE,GAAE,EAAE,QAAQA,GAAC,IAAE,GAAE,EAAE,aAAW,KAAGA,KAAE,EAAE,WAAS,KAAGA,KAAE,EAAE,wBAAwB,KAAKA,GAAC,GAAE,EAAE,8BAA8B,KAAK,EAAE,GAAE,EAAE,8BAA8BA,GAAC,IAAE;AAAA,IAAC,WAAS,KAAG,IAAE,EAAE;AAAY,QAAE,wBAAwB,KAAK,EAAE,GAAE,EAAE,8BAA8B,KAAK,EAAE;AAAA,SAAM;AAAC,UAAGA,QAAI,EAAE,MAAM;AAAO,cAAM,MAAM,sCAAsCA,uBAAqB,EAAE,cAAc,EAAE,MAAM,SAAS;AAAE,QAAE,SAAO,SAAO,EAAE,MAAMA,GAAC,IAAE,EAAE,MAAM,CAAC,IAAG,EAAE,OAAK,SAAO,EAAE,IAAIA,GAAC,IAAE,EAAE,IAAI,CAAC,IAAG,EAAE,QAAQA,GAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,EAAE,YAAU,KAAG,MAAI,EAAE,aAAW,KAAGA,MAAG,EAAE,UAAQ,KAAG,MAAI,EAAE,WAAS,KAAGA,MAAG,EAAE,iBAAe,KAAG,KAAG,EAAE,wBAAwB,KAAK,EAAE,GAAE,EAAE,8BAA8B,KAAK,EAAE,GAAE,EAAE,kBAAgB,KAAGA,QAAI,EAAE,wBAAwB,KAAKA,GAAC,GAAE,EAAE,8BAA8B,KAAK,CAAC,IAAG,EAAE,8BAA8BA,GAAC,IAAE,GAAEA;AAAA,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,CAAC;AAAE,WAAOA,MAAE,IAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,WAAO,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAQ,IAAI,KAAG,MAAK;AAAA,EAAC,OAAO,IAAI,GAAE;AAAC,WAAO,IAAI,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAS,GAAEA,KAAE,IAAE,OAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,QAAQ,GAAEA,MAAE,KAAG,IAAE,GAAE,IAAE,MAAK,IAAE,OAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,KAAK,IAAE,MAAKA,MAAE,KAAG,IAAE,OAAK,IAAE,MAAK;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,SAAS,IAAE,MAAKA,MAAE,MAAI,IAAE,MAAK;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,OAAO,IAAE,MAAKA,MAAE,KAAG,IAAE,OAAK,IAAE,MAAK,IAAE,GAAE;AAAC,WAAO,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,QAAQ,GAAEA,MAAE,KAAG;AAAC,WAAO,IAAI,GAAG,GAAEA,GAAC;AAAA,EAAC;AAAC;AAAE,IAAI,MAAI;AAAG,IAAI,MAAI,MAAI,OAAO,yBAAuB,cAAY,wBAAsB,OAAO,gBAAc,cAAY,eAAa,OAAG,EAAE,GAAG;AAAE,SAAS,KAAI;AAAC,SAAO,IAAI,QAAQ,OAAG,GAAG,MAAI,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI,IAAE,CAAC;AAAE,GAAG,GAAE,EAAC,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,OAAM,MAAI,IAAG,uBAAsB,MAAI,IAAG,kBAAiB,MAAI,IAAG,YAAW,MAAI,IAAG,iBAAgB,MAAI,IAAG,iBAAgB,MAAI,IAAG,4BAA2B,MAAI,IAAG,4BAA2B,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,sBAAqB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,IAAG,2BAA0B,MAAI,IAAG,kBAAiB,MAAI,IAAG,mCAAkC,MAAI,IAAG,sBAAqB,MAAI,IAAG,qBAAoB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,uBAAsB,MAAI,IAAG,0BAAyB,MAAI,IAAG,2BAA0B,MAAI,IAAG,iBAAgB,MAAI,IAAG,mBAAkB,MAAI,IAAG,mBAAkB,MAAI,IAAG,yBAAwB,MAAI,IAAG,sBAAqB,MAAI,IAAG,gCAA+B,MAAI,IAAG,sBAAqB,MAAI,IAAG,UAAS,MAAI,IAAG,WAAU,MAAI,IAAG,wBAAuB,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,kBAAiB,MAAI,IAAG,qBAAoB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,sBAAqB,MAAI,IAAG,gBAAe,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,qBAAoB,MAAI,IAAG,4BAA2B,MAAI,IAAG,qBAAoB,MAAI,IAAG,cAAa,MAAI,IAAG,iDAAgD,MAAI,IAAG,iDAAgD,MAAI,IAAG,mDAAkD,MAAI,IAAG,sDAAqD,MAAI,IAAG,iDAAgD,MAAI,IAAG,iDAAgD,MAAI,IAAG,0DAAyD,MAAI,IAAG,+CAA8C,MAAI,IAAG,wDAAuD,MAAI,IAAG,yDAAwD,MAAI,IAAG,8DAA6D,MAAI,IAAG,0DAAyD,MAAI,IAAG,wBAAuB,MAAI,IAAG,uBAAsB,MAAI,IAAG,KAAI,MAAI,IAAG,wBAAuB,MAAI,IAAG,oBAAmB,MAAI,IAAG,kBAAiB,MAAI,IAAG,cAAa,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,wBAAuB,MAAI,IAAG,+BAA8B,MAAI,IAAG,mBAAkB,MAAI,IAAG,YAAW,MAAI,IAAG,2BAA0B,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,MAAK,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,CAAC,EAAE;AAAO,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,EAAE,WAASA,KAAE,MAAI,kBAAkBA,yBAAuB,gDAAgDA,MAAI;AAAA,EAAC,CAAC,GAAE,EAAE,KAAG,KAAG,IAAEA,KAAE,MAAI,kBAAkBA,oCAAkCA,MAAE,IAAI;AAAE,MAAI,IAAE,EAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,aAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,QAAE,MAAI,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,GAAE,MAAI,kBAAkBA,0BAAwB,OAAO,4CAA4C,sCAAsC,IAAI;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,CAAC,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,iBAAe,CAAC,IAAE,kBAAiB,EAAE,EAAE,eAAa,CAAC,IAAE,gBAAe,EAAE,EAAE,cAAY,CAAC,IAAE,eAAc,EAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,aAAW,CAAC,IAAE;AAAY,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI;AAAM,MAAGA,OAAG,QAAM,KAAG;AAAK,WAAO;AAAE,MAAG,KAAG;AAAK,WAAK,EAAE,SAAO,IAAEA,IAAE;AAAQ,QAAE,KAAK,EAAE;AAAA;AAAO,QAAE,EAAE,MAAM;AAAE,MAAGA,OAAG;AAAK,WAAO;AAAE,MAAG,IAAEA,IAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,4BAA4B,uCAAuC,IAAEA,IAAE,4BAA4B,EAAE,QAAQ;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,EAAE,EAAE,SAAOA,IAAE,SAAO,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG;AAAE,UAAG,KAAG,GAAE;AAAC,YAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,4BAA4B,sCAAsC,IAAE,QAAQ,eAAe,IAAE,QAAQ,GAAG;AAAA,MAAC;AAAM,UAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAC,gBAAe,GAAG,gBAAe,cAAa,GAAG,cAAa,aAAY,GAAG,aAAY,YAAW,GAAG,YAAW,YAAW,GAAG,YAAW,YAAW,GAAG,WAAU,GAAEA,MAAE,CAAC;AAAE,WAAQ,KAAK;AAAE,QAAG,KAAK;AAAE,MAAAA,IAAE,KAAK,EAAE,CAAC,CAAC;AAAA;AAAO;AAAM,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,WAAS,IAAE,IAAE,EAAE,CAAC,MAAI,GAAG,iBAAe,EAAE,SAAO,IAAE,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAG,QAAM,KAAG;AAAK;AAAO,MAAIA,MAAE,EAAE,QAAO,IAAE,EAAE;AAAO,MAAGA,OAAG;AAAE,UAAM,IAAI,MAAM,sBAAsB,wCAAwC,4CAA4CA,+DAA6D,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAE,KAAK,IAAIA,KAAE,IAAE,CAAC,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC;AAAE,QAAG,KAAG,KAAG,KAAG,KAAG,MAAI,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,sBAAsB,+CAA+C,0CAA0C,IAAE,EAAE,aAAa,8CAA8C,IAAE,EAAE,aAAa,GAAG;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG;AAAG,SAAS,GAAG,GAAE;AAAC,SAAO,KAAG,KAAG,IAAE,GAAG,GAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,OAAG,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC,IAAG,IAAE,KAAG,OAAO,KAAG,WAAS,IAAE,EAAE,CAAC;AAAG,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG;AAAE,QAAE,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC,GAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,EAAE,MAAM,CAAC,CAAC;AAAA,OAAM;AAAC,QAAE,EAAE,OAAO,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE;AAAO,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,EAAE,OAAO,CAAC,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,QAAE,EAAE,OAAO,EAAE,MAAM,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAGA,KAAE;AAAC,MAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,IAAE,KAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,KAAG,IAAE,EAAE,KAAG,EAAE,KAAK,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,EAAE,KAAK,CAAC,IAAE,EAAE,KAAK,CAAC;AAAE,MAAE,KAAK,GAAG,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAG;AAAC,MAAI,IAAE,CAAC;AAAE,MAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC,IAAE,EAAE,KAAK,EAAE,CAAC,IAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,SAAG,EAAE,SAAO,IAAE,EAAE,KAAK,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,CAAC,IAAE,EAAE,KAAK,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,CAAC,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,KAAK,EAAE,CAAC,EAAE,CAAC,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,MAAM,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE;AAAE,MAAE,KAAK,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG;AAAP,IAA0B,KAAG;AAAmB,IAAI,KAAG;AAAP,IAAgB,KAAG;AAAnB,IAA8B,KAAG;AAAjC,IAA6C,KAAG;AAAhD,IAA4D,KAAG;AAA/D,IAA4E,KAAG;AAAY,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,gEAAgE,EAAE,iBAAiB,EAAE,SAAS;AAAE,MAAIA,MAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,EAAE,SAAO,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,MAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAK,GAAE,MAAKA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,KAAK,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,EAAE,SAAO,CAAC,GAAEA,MAAE,IAAI,aAAa,CAAC,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,IAAAA,IAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,MAAM,IAAE,CAAC,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,IAAE,IAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,aAAa,IAAE,CAAC,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC,GAAE,KAAI;AAAC,QAAI,KAAG,IAAE,IAAE,MAAI,KAAK,MAAI,IAAE;AAAG,IAAAA,IAAE,CAAC,IAAE,KAAK,IAAI,CAAC,GAAE,EAAE,CAAC,IAAE,KAAK,IAAI,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,MAAKA,KAAE,MAAK,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,KAAGA,MAAE,IAAE,MAAI,KAAK,MAAI,IAAE,IAAG,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAK,IAAI,CAAC;AAAE,SAAM,EAAC,MAAK,GAAE,MAAK,EAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAY,KAAG;AAAf,IAAqB,KAAG;AAAxB,IAA4B,KAAG;AAAM,SAAS,GAAG,GAAE,GAAE;AAAC,MAAE,EAAE,QAAQ,OAAM,EAAE;AAAE,MAAIA,OAAG,EAAE,SAAO,EAAE,QAAQ,IAAG,EAAE,EAAE,UAAQ,GAAG;AAAO,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,6CAA6C,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,MAAM,EAAE;AAAE,IAAE,EAAE,QAAQ,EAAE,MAAI,IAAG,MAAI,2BAA2B,4BAA4B;AAAE,MAAI,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE;AAAO,MAAG,MAAI;AAAE,UAAM,IAAI,MAAM,YAAY,6BAA6B,GAAG;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,+DAA+D;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,CAAC,EAAE,KAAK,OAAG,EAAE,QAAQ,CAAC,MAAI,EAAE;AAAE,YAAM,IAAI,MAAM,uCAAuC,wCAAwC;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,QAAQ,CAAC,MAAI,MAAI,MAAI,MAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAG,IAAI,IAAI,EAAE,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,SAAO,EAAE,CAAC,EAAE;AAAO,YAAM,IAAI,MAAM,2CAA2C,EAAE,CAAC,gEAAgE;AAAE,MAAE,CAAC,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,CAAC;AAAE,SAAM,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,CAAC;AAAE,EAAAA,IAAE,KAAK,EAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,EAAE,CAAC,CAAC,IAAE;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,IAAAA,IAAE,CAAC,MAAI,MAAI,EAAE,KAAK,CAAC;AAAE,SAAOA,MAAEA,IAAE,OAAO,OAAG,MAAI,EAAE,GAAE,EAAC,oBAAmBA,KAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,EAAE;AAAM,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,QAAO,EAAE;AAAE,QAAE,EAAE,CAAC,EAAE,CAAC,CAAC,MAAI,SAAO,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,MAAI,EAAE,CAAC,GAAE,MAAI,sBAAsB,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,aAAa,qBAAqB,KAAK,UAAU,CAAC,wBAAwB,EAAE,CAAC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,IAAE,WAAS,KAAGA,IAAE,KAAK,EAAE,GAAE,IAAE,EAAE,SAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,aAAQ,KAAK;AAAE,QAAE,QAAQ,CAAC,MAAI,OAAK,EAAE,CAAC,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,SAAM,EAAC,MAAKA,KAAE,OAAM,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,MAAM,CAAC,GAAEA,QAAI,MAAIA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,KAAC,EAAE,CAAC,EAAE,WAAS,KAAG,EAAE,CAAC,EAAE,QAAQ,CAAC,MAAI,MAAI,MAAI,OAAKA,IAAE,KAAK,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,OAAO,KAAG;AAAS,MAAE,EAAE,MAAMA,GAAC,IAAE,MAAI,GAAE,MAAI,+CAA+C,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,EAAE,MAAMA,GAAC,IAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,OAAK,MAAI,OAAK,KAAG,IAAG,IAAG,CAAC;AAAE,MAAE,KAAG,GAAE,MAAI,yDAAyD;AAAE,QAAI,IAAE,EAAE,QAAQ,EAAE;AAAE,QAAG,MAAI,IAAG;AAAC,UAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,MAAMA,GAAC,IAAE;AAAA,IAAC;AAAC,MAAE,EAAE,MAAMA,GAAC,MAAI,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,MAAI,6DAA6D,GAAE,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA,uBAC/80B;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,WAAW,qBAAqB;AAAO;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,WAAW,qBAAqB,QAAQA;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,iDAAiD,SAAS;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,QAAQ,+BAA+B;AAAG;AAAC,SAAS,KAAI;AAAC,SAAM;AAA+G;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAM,2CAA2CA;AAAA,iEAC/c,iBAAiB,kBAAkB;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAM,qCAAqCA,iDAA+C,iBAAiB,iBAAiB;AAAG;AAAC,SAAS,KAAI;AAAC,SAAM;AAA0B;AAAC,SAAS,KAAI;AAAC,SAAM;AAAgC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,cAAc,sBAAsB;AAAsD;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,gBAAgB,SAAS,sBAAsBA;AAAI;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,0BAAyB,MAAI,IAAG,iBAAgB,MAAI,IAAG,+BAA8B,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,OAAG;AAAE,OAAI,KAAG,MAAI,IAAE,GAAEA,MAAE,QAAI,IAAE,GAAG,GAAE,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,CAAC,GAAE,CAACA;AAAG,QAAE,KAAG,MAAI,IAAEA,MAAE,OAAG,IAAE,GAAG,GAAE,IAAE,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,IAAE,EAAE,KAAK,EAAE,CAAC,CAAC,IAAE,EAAE,KAAKA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI,MAAI,IAAE,CAAC,KAAG,IAAE;AAAG,UAAM,IAAI,MAAM,sCAAsC,MAAM,eAAe,GAAG;AAAE,MAAG,IAAE,MAAI,KAAG,IAAG,IAAE;AAAE,UAAM,IAAI,MAAM,cAAc;AAAA,MACvkC,KAAK;AAAE,MAAGA,MAAE;AAAE,UAAM,IAAI,MAAM,cAAc,0CAA0CA,OAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,WAAW,OAAO,EAAE,MAAM,CAAC,sCAAsC,OAAO,EAAE,MAAM,CAAC,IAAI;AAAE,MAAI,IAAE,EAAE,MAAMA,GAAC,GAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,EAAE,MAAM,CAAC,CAAC,GAAE,KAAG,EAAE,MAAM,CAAC;AAAE,SAAM,EAAC,WAAU,GAAE,WAAU,GAAE,WAAU,GAAE,SAAQ,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAC,WAAO,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,UAAM,IAAI,MAAM,4DAA4D,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,yBAAwB,MAAI,IAAG,yBAAwB,MAAI,IAAG,yBAAwB,MAAI,IAAG,WAAU,MAAI,GAAE,CAAC;AAAE,GAAG;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,6BAA4B,MAAI,OAAG,OAAG;AAAC,OAAG,QAAQ,KAAK,+OAA+O;AAAC,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,aAAW,CAAC,IAAE,cAAa,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,eAAa,CAAC,IAAE,gBAAe,EAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,WAAS,EAAE,IAAE,YAAW,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,gBAAc,EAAE,IAAE,iBAAgB,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,mBAAiB,GAAG,IAAE,oBAAmB,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,eAAa,GAAG,IAAE,gBAAe,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,kBAAgB,GAAG,IAAE,mBAAkB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,iBAAe,GAAG,IAAE,kBAAiB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,oBAAkB,GAAG,IAAE,qBAAoB,EAAE,EAAE,cAAY,GAAG,IAAE,eAAc,EAAE,EAAE,kBAAgB,GAAG,IAAE,mBAAkB,EAAE,EAAE,iBAAe,GAAG,IAAE,kBAAiB,EAAE,EAAE,gBAAc,GAAG,IAAE,iBAAgB,EAAE,EAAE,gBAAc,GAAG,IAAE;AAAe,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,MAAI;AAAE,GAAC,SAASA,KAAE;AAAC,IAAAA,IAAEA,IAAE,SAAO,CAAC,IAAE,UAASA,IAAEA,IAAE,KAAG,CAAC,IAAE,MAAKA,IAAEA,IAAE,KAAG,CAAC,IAAE;AAAA,EAAI,GAAG,IAAE,EAAE,4BAA0B,EAAE,0BAAwB,CAAC,EAAE;AAAC,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,CAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAC,UAAS,GAAE,UAAS,UAAS,QAAO,CAAC,GAAE,OAAM,CAAC,GAAE,gBAAe,EAAC;AAAE,KAAG,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,YAAY,CAAC;AAAE,MAAG,KAAG,EAAE,oBAAkB,QAAO;AAAC,QAAI,IAAE,EAAE,iBAAgB,IAAE,EAAE,kBAAgB,IAAE,SAAO,EAAE,kBAAgB,SAAO,IAAE,IAAE,EAAE,eAAc,IAAE,IAAE,IAAE,EAAE,WAAW,SAAO,IAAE;AAAE,QAAG,EAAE,SAAO;AAAS,aAAO,GAAG,EAAE,WAAW,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAG,EAAE,SAAO,WAAU;AAAC,UAAI,IAAE,EAAE,OAAO,MAAM,GAAE,CAAC;AAAE,aAAO,EAAE,WAAW,MAAM,GAAE,CAAC,EAAE,OAAO,CAAC,GAAE,MAAI;AAAC,YAAI;AAAE,iBAAQ,IAAE,EAAE,CAAC,OAAK,QAAM,MAAI,SAAO,SAAO,EAAE,QAAM;AAAA,MAAM,CAAC,EAAE,IAAI,OAAG,GAAG,GAAEA,KAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,EAAE,WAAW,CAAC,GAAEA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS;AAAE,WAAO,EAAE,SAAO,WAAS,EAAE,CAAC,IAAE,EAAE,cAAc,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,WAAW,CAAC;AAAE,SAAO,KAAG,EAAE;AAAK;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,yBAAyB,CAAC;AAAE,QAAG,KAAG;AAAK,aAAO;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,kBAAkB,KAAK,OAAG,CAAC,CAAC,EAAE,GAAG,GAAE,CAAC,CAAC,CAAC;AAAE,SAAO,MAAI,SAAO,EAAE,GAAG,GAAE,CAAC,CAAC,EAAE,CAAC,IAAE;AAAM;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,GAAG,GAAEA,IAAE,gBAAgB,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAACA,KAAE,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAM,CAAC,GAAGA,KAAE,KAAG,EAAE,gBAAgB,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE,GAAG,KAAK,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAG,WAAM,CAAC,IAAG,GAAE,MAAM;AAAE,MAAIA,MAAE,KAAG,QAAM,EAAE,sBAAoB;AAAK,MAAGA,KAAE;AAAC,QAAI,IAAE,EAAE,mBAAmB,IAAI,CAAC;AAAE,QAAG,KAAG;AAAK,aAAO;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM,GAAG,GAAE;AAAE,MAAG,EAAE,WAAS;AAAE,QAAE,CAAC,GAAE,GAAE,MAAM;AAAA,OAAM;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,WAAS,IAAE,EAAE,CAAC,IAAE,QAAO,IAAE,OAAO,EAAE,EAAE,SAAO,CAAC,CAAC;AAAE,QAAE,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,OAAG,EAAE,mBAAmB,IAAI,GAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC;AAAE,MAAG,MAAI,YAAW;AAAC,QAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,CAAC,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,CAAC,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,OAAK,IAAE,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,cAAa,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,cAAa,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,IAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,OAAM,GAAE,EAAC,QAAO,oBAAmB,MAAK,kBAAiB,MAAK,OAAM,GAAE,EAAC,QAAO,4BAA2B,MAAK,0BAAyB,MAAK,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,yBAAwB,MAAK,uBAAsB,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,MAAK,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,sBAAqB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,WAAU,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,0BAAyB,MAAK,uBAAsB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,MAAK,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,YAAW,MAAK,YAAW,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,iBAAgB,MAAK,iBAAgB,MAAK,OAAM,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,oBAAmB,MAAK,iBAAgB,MAAK,QAAO,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,CAAC,GAAE,GAAE,GAAE,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,mBAAkB,MAAK,kBAAiB,MAAK,UAAS,cAAa,IAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,yBAAwB,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,8BAA6B,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,YAAW,cAAa,CAAC,GAAE,GAAE,GAAE,CAAC,EAAC,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,qBAAoB,MAAK,oBAAmB,MAAK,YAAW,cAAa,CAAC,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,eAAc,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,QAAO,SAAQ,MAAK,aAAY,MAAK,WAAU,GAAE,EAAC,QAAO,WAAU,MAAK,OAAM,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,OAAM,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,wBAAuB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,gBAAe,MAAK,gBAAe,MAAK,QAAO,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,eAAc,MAAK,aAAY,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,0BAAyB,MAAK,sBAAqB,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,kBAAiB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,0BAAyB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,SAAQ,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,QAAO,GAAE,EAAC,UAAS,YAAW,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,KAAI,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,KAAI,MAAK,UAAS,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,WAAU,MAAK,UAAS,MAAK,UAAS,cAAa,KAAE,GAAE,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,SAAQ,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,2BAA0B,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,GAAE,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,QAAO,yBAAwB,MAAK,sBAAqB,MAAK,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,cAAa,QAAO,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,QAAO,yBAAwB,MAAK,sBAAqB,MAAK,OAAM,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,mBAAkB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,kBAAiB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,GAAE,EAAC,QAAO,sBAAqB,MAAK,oBAAmB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,yBAAwB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,GAAE,EAAC,QAAO,sBAAqB,MAAK,oBAAmB,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,UAAS,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,QAAO,uBAAsB,MAAK,sBAAqB,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,8BAA6B,UAAS,SAAQ,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,SAAQ,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,WAAU,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,gBAAe,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,QAAO,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,YAAW,cAAa,CAAC,EAAC,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,mBAAkB,MAAK,kBAAiB,MAAK,UAAS,cAAa,IAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,SAAQ,MAAK,cAAa,MAAK,QAAO,cAAa,MAAE,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,YAAW,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,iBAAgB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,QAAO,cAAa,MAAE,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,UAAS,cAAa,KAAI,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,gBAAe,MAAK,UAAS,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,SAAQ,MAAK,SAAQ,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,IAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,iBAAgB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,YAAW,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,OAAM,GAAE,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,OAAM,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,aAAY,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,OAAM,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,OAAM,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,IAAG,MAAK,WAAU,MAAK,UAAS,GAAE,EAAC,OAAM,IAAG,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,KAAI,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,oBAAmB,MAAK,mBAAkB,MAAK,QAAO,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,OAAM,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,iBAAgB,MAAK,eAAc,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,iBAAgB,MAAK,gBAAe,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,oBAAmB,MAAK,kBAAiB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,KAAI,GAAE,MAAK,WAAU,MAAK,UAAS,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,QAAO,OAAM,MAAK,OAAM,MAAK,UAAS,cAAa,GAAE,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,GAAE,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,mBAAkB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,UAAS,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,mBAAkB,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,YAAW,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,oBAAmB,MAAK,mBAAkB,MAAK,QAAO,cAAa,OAAG,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,uBAAsB,UAAS,cAAa,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,uBAAsB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,UAAS,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,gBAAe,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,KAAI,MAAK,SAAQ,MAAK,SAAQ,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,qBAAoB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,oBAAmB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,OAAM,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,QAAO,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,YAAW,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,UAAS,cAAa,KAAE,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,sBAAqB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,WAAU,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,kBAAiB,MAAK,iBAAgB,MAAK,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,aAAY,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,gBAAe,MAAK,eAAc,MAAK,WAAU,GAAE,EAAC,QAAO,YAAW,MAAK,WAAU,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,aAAY,MAAK,YAAW,MAAK,SAAQ,GAAE,EAAC,QAAO,4BAA2B,MAAK,0BAAyB,MAAK,OAAM,CAAC,GAAE,SAAQ,CAAC,UAAS,eAAe,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,aAAY,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,OAAM,CAAC,GAAE,SAAQ,CAAC,WAAU,UAAS,OAAO,EAAC,GAAE,EAAC,UAAS,0BAAyB,UAAS,UAAS,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,MAAK,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,EAAC,UAAS,QAAO,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,UAAS,MAAK,SAAQ,cAAa,KAAE,GAAE,EAAC,QAAO,QAAO,MAAK,SAAQ,MAAK,QAAO,CAAC,EAAC,GAAE,EAAC,UAAS,cAAa,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,aAAY,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,MAAK,QAAO,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,OAAM,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,kBAAiB,MAAK,iBAAgB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,SAAQ,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,WAAU,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,iBAAgB,MAAK,UAAS,cAAa,EAAC,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,WAAU,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,QAAO,kBAAiB,gBAAe,MAAK,QAAO,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,YAAW,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,kBAAiB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,cAAa,MAAK,WAAU,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,EAAC,GAAE,EAAC,UAAS,gBAAe,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,QAAO,cAAa,MAAK,aAAY,MAAK,SAAQ,GAAE,EAAC,QAAO,eAAc,MAAK,cAAa,MAAK,SAAQ,CAAC,EAAC,GAAE,EAAC,UAAS,eAAc,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,KAAI,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,SAAQ,MAAK,WAAU,CAAC,GAAE,OAAM,CAAC,EAAC,GAAE,EAAC,UAAS,iBAAgB,UAAS,kBAAiB,QAAO,CAAC,EAAC,OAAM,GAAE,MAAK,MAAK,MAAK,SAAQ,GAAE,EAAC,OAAM,GAAE,MAAK,MAAK,MAAK,SAAQ,CAAC,GAAE,OAAM,CAAC,EAAC,CAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,WAAW,WAAU;AAAC,WAAO,KAAK,cAAY,KAAK,YAAU,IAAI;AAAA,EAAK;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE,GAAEA,MAAE,CAAC,EAAE,OAAO,GAAG,EAAE,IAAI,OAAG,EAAE,IAAI,CAAC;AAAE,SAAK,YAAUA,IAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,QAAQ,IAAE,GAAE,IAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,MAAE,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,MAAK,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,KAAK,QAAQ,CAAC,GAAE,EAAE,GAAG,WAAW,aAAa,IAAE,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,IAAE,EAAE,OAAK,UAAQ,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,KAAG,EAAE,SAAO,QAAM,EAAE,MAAM,WAAS,MAAI,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,GAAE,IAAG,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,IAAAA,OAAG,SAAO,IAAE,KAAK,oBAAoBA,IAAE,MAAM,GAAE,IAAE,KAAK,oBAAoBA,IAAE,OAAO;AAAG,QAAI,IAAE,OAAO,KAAK,CAAC;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,WAAW,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAG,CAAC,GAAE,EAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAG,EAAE,WAAS,MAAK;AAAC,cAAI,IAAE,EAAE,QAAQ,QAAQ,CAAC;AAAE,cAAG,MAAI,IAAG;AAAC,gBAAI,IAAE,GAAG,KAAK;AAAI,cAAE,WAAW,CAAC,IAAE;AAAA,UAAC;AAAA,QAAC;AAAC,UAAE,OAAO,KAAK,CAAC,GAAE,EAAE,SAAS,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,WAAS,IAAE,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,SAAS,WAAS,KAAG,EAAE,KAAK,CAAC;AAAA,IAAC,CAAC,IAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,SAAO,EAAE,eAAa,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,SAAO,IAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAI,EAAE,eAAa,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC,IAAE,IAAE;AAAE,QAAI,IAAE,CAAC;AAAE,MAAE,WAAS,QAAM,EAAE,QAAQ,YAAU,SAAO,IAAE,EAAE,QAAQ,SAAS,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,UAAU,IAAI,IAAE,KAAK,YAAY,CAAC,GAAE,IAAG,CAAC,CAAC;AAAG,QAAI,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,WAAUA,KAAE,WAAU,EAAC;AAAE,WAAO,EAAE,SAAO,MAAI,EAAE,YAAU,IAAG;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,WAAO,OAAO,KAAK,KAAG,CAAC,CAAC,EAAE,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,CAAC,EAAE,IAAI,IAAE,GAAEA,MAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,QAAIA,MAAE,GAAG,EAAE,EAAE,KAAG,KAAK,UAAU,EAAE,EAAE,KAAG,CAAC;AAAE,MAAE,QAAM,SAAO,EAAE,OAAK,CAAC;AAAG,QAAI,IAAE,EAAC,MAAK,EAAE,MAAK,IAAG,EAAE,IAAG,UAASA,IAAE,UAAS,aAAY,EAAE,SAAO,CAAC,GAAG,IAAI,OAAG,EAAE,WAAW,GAAG,IAAE,EAAE,MAAM,CAAC,IAAE,CAAC,GAAE,QAAO,CAAC,GAAE,UAAS,CAAC,GAAE,aAAY,CAAC,GAAE,YAAW,CAAC,GAAE,UAAS,EAAE,MAAK,SAAQA,IAAE,QAAO;AAAE,WAAOA,IAAE,UAAQ,SAAO,EAAE,cAAYA,IAAE,OAAO,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,EAAC,MAAK,EAAE,MAAK,iBAAgB,EAAE,OAAM,eAAc,EAAE,IAAG,GAAE,IAAG,CAAC,CAAC,IAAGA,IAAE,SAAO,SAAO,EAAE,aAAWA,IAAE,MAAM,OAAO,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,MAAK;AAAE,cAAO,EAAE,MAAK;AAAA,QAAC,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAW,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,gBAAc,CAAC,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAW,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAO,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAS,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAQ,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAU,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAQ,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAU,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAO,cAAE,GAAG,EAAE,MAAK,EAAE,QAAO,EAAE,YAAY,GAAE,MAAI,UAAQ,EAAE,qBAAmB,IAAE,GAAG,EAAE,MAAK,EAAE,kBAAiB,EAAE,YAAY;AAAG;AAAA,QAAM,KAAI;AAAA,QAAS,KAAI;AAAU;AAAA,QAAM;AAAQ,gBAAM,IAAI,MAAM,2BAA2B,EAAE,gBAAgB,EAAE,IAAI;AAAA,MAAC;AAAC,aAAO,EAAE,EAAE,IAAI,IAAE,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE;AAAA,IAAC,GAAE,CAAC,CAAC,IAAG;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,IAAAA,OAAG,SAAO,IAAEA,IAAE,OAAO,CAAC,GAAE,OAAK,EAAE,EAAE,IAAI,IAAE,KAAK,QAAQ,CAAC,GAAE,EAAE,OAAK,WAAS,EAAE,KAAK,EAAE,EAAE,IAAI,CAAC,GAAE,IAAG,CAAC,CAAC;AAAG,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,MAAE,UAAU,SAAS,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,EAAE,IAAI,GAAE,IAAE,EAAC,MAAK,GAAE,IAAG,eAAc,QAAO,CAAC,GAAE,YAAW,CAAC,GAAE,UAAS,SAAQ,aAAY,CAAC,GAAE,YAAW,EAAC,OAAM,EAAC,OAAM,GAAG,EAAE,IAAI,GAAE,MAAK,QAAO,EAAC,GAAE,UAAS,CAAC,EAAC;AAAE,QAAE,eAAa,EAAE,MAAK,EAAE,KAAK,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,WAAW,QAAQ,CAAC,GAAE,MAAI;AAAC,YAAG,CAAC,GAAE,EAAC,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,YAAG,EAAE,WAAS,MAAK;AAAC,cAAI,IAAE,EAAE,QAAQ,QAAQ,CAAC;AAAE,cAAG,MAAI,IAAG;AAAC,gBAAI,IAAE,GAAG,KAAK;AAAI,cAAE,WAAW,CAAC,IAAE;AAAA,UAAC;AAAA,QAAC;AAAC,UAAE,OAAO,KAAK,CAAC,GAAE,EAAE,SAAS,KAAK,CAAC;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,EAAE;AAAI,MAAE,UAAU,UAAU,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,EAAE,IAAI,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,SAAO,EAAE,gBAAc,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE,CAAC;AAAE,QAAI,IAAE,KAAK,mBAAmB,CAAC;AAAE,WAAM,EAAC,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,WAAU,EAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,WAAM,EAAC,YAAW,EAAE,UAAU,MAAK,QAAO,EAAE,UAAU,SAAS,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,IAAI,IAAE,KAAK,mBAAmB,CAAC,GAAEA,MAAG,CAAC,CAAC,GAAE,SAAQ,EAAE,UAAU,UAAU,OAAO,CAACA,KAAE,OAAKA,IAAE,EAAE,IAAI,IAAE,KAAK,mBAAmB,GAAE,EAAE,GAAG,GAAEA,MAAG,CAAC,CAAC,EAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE;AAAK,WAAOA,OAAG,SAAO,IAAEA,IAAE,CAAC,IAAG,EAAC,MAAK,GAAE,OAAM,EAAE,KAAI;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,EAAE;AAAO,MAAG,OAAO,EAAE,QAAM;AAAY,WAAO,EAAE,KAAK,CAAC;AAAE,MAAG,OAAO,UAAQ;AAAY,WAAO,IAAI,OAAO,GAAE,QAAQ,EAAE,SAAS;AAAE,QAAM,IAAI,MAAM,kFAAkF;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,MAAM,QAAQ,CAAC,IAAE,OAAO,aAAa,MAAM,MAAK,CAAC,IAAE,GAAG,CAAC;AAAE,SAAO,IAAEA,MAAEA,IAAE,YAAY;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,OAAK,GAAG,EAAE,GAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,IAAE,EAAE,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,KAAG,CAAC,GAAE,IAAE,EAAE,KAAG,OAAK,EAAE,IAAE,EAAE,KAAG,OAAK,EAAE,IAAEA;AAAE,SAAO,OAAO,KAAG,WAAS,IAAE,SAAS,GAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,UAAO,OAAO,KAAG,aAAW,IAAE,GAAG,CAAC,IAAG,GAAE;AAAA,IAAC,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAQ,aAAM;AAAA,IAAU,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAA,IAAS,KAAK,GAAG;AAAA,IAAQ,KAAK,GAAG;AAAS,aAAM;AAAA,IAAQ,KAAK,GAAG;AAAQ,aAAM;AAAA,IAAO,KAAK,GAAG;AAAU,aAAM;AAAA,IAAU,KAAK,GAAG;AAAU,aAAM;AAAA,IAAS;AAAQ,aAAO;AAAA,EAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,OAAK,EAAE,KAAK,OAAKA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,OAAK,GAAG,EAAE,IAAI,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,OAAK,EAAE,KAAK,KAAK,IAAI,OAAG,GAAG,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,CAAC,EAAE;AAAY,WAAO,EAAE,OAAK,OAAK,EAAE,IAAI,IAAI,OAAG,OAAO,EAAE,QAAM,WAAS,EAAE,OAAK,SAAS,EAAE,MAAK,EAAE,CAAC,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,GAAG,EAAE,KAAK,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,MAAI,EAAE,KAAK,KAAG,EAAE,KAAK,EAAE,SAAO,EAAE,KAAK,IAAE,EAAE,KAAK,MAAI,CAAC,GAAG,IAAI,OAAG,OAAO,KAAG,WAAS,IAAE,SAAS,GAAE,EAAE,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,IAAE,EAAE,KAAK,EAAE,IAAI,OAAG,GAAG,GAAE,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,QAAM,EAAE,KAAK,MAAM,IAAI,OAAG,GAAG,CAAC,CAAC,IAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC;AAAE,SAAO,KAAG,EAAE,QAAM,EAAE,KAAK,IAAE,EAAE,KAAK,IAAEA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,YAAUA,KAAE,KAAK,UAAQ,GAAE,KAAK,SAAO,CAAC,GAAE,KAAK,QAAM,CAAC,GAAE,KAAK,SAAO,EAAE,WAAW,IAAI,OAAG,KAAK,SAAS,CAAC,CAAC,GAAE,EAAE,YAAU,SAAO,KAAK,QAAM,OAAO,KAAK,EAAE,QAAQ,EAAE,OAAO,CAAC,GAAE,OAAK,EAAE,CAAC,IAAE,KAAK,QAAQ,CAAC,GAAE,IAAG,CAAC,CAAC;AAAA,EAAE;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,GAAG,GAAE,KAAK,WAAU,KAAK,OAAO;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,KAAK,SAAS,CAAC;AAAE,QAAG,EAAE,UAAQ;AAAK,aAAO,GAAG,GAAE,KAAK,WAAU,KAAK,OAAO;AAAE,QAAG,EAAE,KAAG,QAAM,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,KAAG;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,SAAO;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,QAAM;AAAK,aAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,QAAG,EAAE,QAAM,MAAK;AAAC,UAAG,EAAE,KAAK,KAAG,QAAM,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,SAAO;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,KAAG;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAE,UAAG,EAAE,KAAK,QAAM;AAAK,eAAO,GAAG,KAAK,KAAK,UAAS,GAAEA,GAAC;AAAA,IAAC;AAAC,WAAOA;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,iBAAgB,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,eAAc,MAAI,IAAG,WAAU,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,gBAAe,MAAI,IAAG,UAAS,MAAI,IAAG,YAAW,MAAI,IAAG,kBAAiB,MAAI,IAAG,eAAc,MAAI,IAAG,aAAY,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,QAAO,MAAI,IAAG,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,IAAG,iBAAgB,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,eAAc,MAAI,IAAG,cAAa,MAAI,IAAG,iBAAgB,MAAI,IAAG,MAAK,MAAI,IAAG,YAAW,MAAI,IAAG,KAAI,MAAI,IAAG,UAAS,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,qBAAoB,MAAI,IAAG,aAAY,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,eAAc,MAAI,IAAG,KAAI,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,aAAY,MAAI,IAAG,OAAM,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,WAAU,MAAI,IAAG,MAAK,MAAI,IAAG,WAAU,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,4BAA2B,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,YAAW,MAAI,IAAG,QAAO,MAAI,IAAG,YAAW,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,mBAAkB,MAAI,IAAG,SAAQ,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,KAAI,MAAI,IAAG,SAAQ,MAAI,IAAG,eAAc,MAAI,IAAG,KAAI,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,QAAO,MAAI,IAAG,MAAK,MAAI,IAAG,UAAS,MAAI,IAAG,IAAG,MAAI,GAAE,cAAa,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,KAAI,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,aAAY,MAAI,IAAG,sBAAqB,MAAI,IAAG,MAAK,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,sBAAqB,MAAI,IAAG,eAAc,MAAI,IAAG,kBAAiB,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,YAAW,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,GAAE,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,OAAM,MAAI,IAAG,QAAO,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,MAAK,MAAI,IAAG,iBAAgB,MAAI,IAAG,gBAAe,MAAI,IAAG,SAAQ,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,OAAM,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,UAAS,MAAI,IAAG,gBAAe,MAAI,IAAG,QAAO,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,mBAAkB,MAAI,IAAG,SAAQ,MAAI,IAAG,OAAM,MAAI,IAAG,MAAK,MAAI,IAAG,cAAa,MAAI,IAAG,QAAO,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,KAAI,MAAI,IAAG,MAAK,MAAI,IAAG,QAAO,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,qBAAoB,MAAI,IAAG,MAAK,MAAI,IAAG,MAAK,MAAI,IAAG,WAAU,MAAI,IAAG,iBAAgB,MAAI,IAAG,QAAO,MAAI,IAAG,oBAAmB,MAAI,IAAG,SAAQ,MAAI,IAAG,YAAW,MAAI,IAAG,UAAS,MAAI,IAAG,OAAM,MAAI,IAAG,YAAW,MAAI,IAAG,OAAM,MAAI,IAAG,WAAU,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAU,KAAI;AAAA,IAAQ,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAU,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAoB,aAAM,CAAC,EAAE,kBAAkB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAM,KAAI;AAAa,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAc,aAAM,CAAC,EAAE,YAAY,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,GAAG,EAAE,WAAW,CAAC,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,IAAG;AAAC,MAAG,EAAE,OAAO,KAAG,YAAU,OAAO,KAAG,WAAU;AAAC,MAAE,OAAO,EAAE,WAAS,EAAE,QAAO,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAE,OAAO,IAAE,KAAG,IAAE,KAAG,MAAI,GAAE,MAAIA,MAAE,WAAW,SAAS,cAAc;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,EAAE,OAAO,KAAG,YAAU,EAAE,KAAK,OAAG,IAAE,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,CAAC,GAAG,CAAC;AAAE,MAAG,KAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,qFAAqF,GAAG;AAAE,MAAG,KAAG,EAAE,QAAQ,OAAG;AAAC,QAAE,GAAG,EAAE,OAAM,CAAC;AAAA,EAAC,CAAC,GAAE,CAAC,GAAG,CAAC;AAAE,UAAM,IAAI,MAAM,mCAAmC,GAAG;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,OAAO,KAAG;AAAS,WAAO;AAAE,MAAG,OAAO,KAAG;AAAS,WAAO;AAAE,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,oCAAoC,SAAS,GAAG;AAAE,MAAIA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG,KAAG,KAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,oCAAoC,SAAS,GAAG;AAAE,IAAAA,IAAE,CAAC,IAAE,KAAG,IAAE,IAAE;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,OAAK,GAAE,KAAK,QAAMA,KAAE,KAAK,UAAQ,GAAE,KAAK,eAAa,GAAE,KAAK,yBAAuB,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,GAAE,KAAK,UAAQ,CAAC,GAAE,KAAK,UAAQ,OAAG,KAAK,WAAS,GAAG,CAAC,GAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,SAAS;AAAA,EAAE;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK;AAAA,EAAO;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,QAAQ,QAAQ,CAAAA,QAAG;AAAC,OAAC,KAAG,QAAM,CAAC,EAAE,IAAIA,IAAE,OAAO,EAAE,MAAIA,IAAE,OAAO,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,UAAQ,CAAC,GAAE,KAAK,UAAQ,MAAG,KAAK,SAAS,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,QAAQ;AAAA,EAAM;AAAA,EAAC,KAAK,GAAE;AAAC,QAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B;AAAE,QAAG,IAAE,KAAG,KAAG,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,4BAA4B,yBAAyB,KAAK,KAAK,GAAG;AAAE,QAAIA,MAAE,KAAK,QAAQ,CAAC;AAAE,QAAGA,IAAE;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,8BAA8B,uGAAuG;AAAE,WAAO,KAAK,mBAAiBA,IAAE,UAAQ,OAAIA,IAAE,OAAK,MAAGA,IAAE;AAAA,EAAM;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,EAAE,IAAI,CAAAA,QAAG,KAAK,KAAKA,GAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,QAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,+BAA+B;AAAE,QAAG,IAAE,KAAG,CAAC,KAAK,eAAa,KAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,2BAA2B,+CAA+C,KAAK,SAAS;AAAE,QAAI,IAAE,KAAK,QAAQ,CAAC,KAAG,CAAC;AAAE,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C;AAAA,uCACrluEA,IAAE,mCAAmC,KAAK,QAAQ;AAAE,QAAG,KAAK,KAAK,MAAI,MAAI,KAAK,gBAAc,QAAM,KAAK,aAAa,WAAS,OAAK,KAAK,eAAaA,IAAE,QAAO,GAAG,KAAK,cAAaA,IAAE,OAAM,eAAe,KAAK,8CAA8C,IAAI,GAAE,EAAE;AAAK,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C,sCAAsC;AAAE,QAAG,EAAE;AAAQ,YAAM,IAAI,MAAM,eAAe,KAAK,8CAA8C,yCAAyC;AAAE,MAAE,SAAOA,KAAE,GAAGA,GAAC,GAAE,EAAE,UAAQ,MAAG,KAAK,QAAQ,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE;AAAC,QAAG,EAAE,WAASA,IAAE;AAAO,YAAM,IAAI,MAAM,eAAe,KAAK,kEAAkE,EAAE,2CAA2CA,IAAE,SAAS;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI,KAAK,MAAM,GAAEA,IAAE,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAGA,OAAGA,QAAI,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoCA,KAAG;AAAE,QAAG;AAAE,UAAE,EAAE,MAAM,GAAE,KAAK,KAAK,CAAC;AAAA,SAAM;AAAC,UAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,GAAE;AAAI,UAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,WAAS;AAAE,aAAO,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC;AAAE,QAAI,IAAE,KAAK,SAAS,CAAC;AAAE,WAAO,GAAG,KAAK,cAAa,EAAE,CAAC,EAAE,OAAM,8BAA8B,GAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAG,MAAI,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,oCAAoC,GAAG;AAAE,QAAG,KAAK,KAAK,MAAI;AAAE,aAAO,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,KAAK,YAAY,CAAC;AAAE,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,KAAK,GAAE;AAAI,MAAAA,IAAE,KAAK,CAAC;AAAE,QAAI,IAAE,KAAK,SAASA,GAAC;AAAE,WAAO,GAAG,KAAK,cAAa,EAAE,CAAC,EAAE,OAAM,mDAAmD,KAAK,wCAAwC,EAAE,CAAC,EAAE,QAAQ,GAAE,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,IAAE,OAAO;AAAE,QAAG,EAAE,WAASA,IAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM,sDAAsD,EAAE,cAAcA,IAAE,MAAM,CAAC,GAAG;AAAE,QAAI,IAAE,KAAK,IAAI,GAAG,CAAC;AAAE,QAAG,CAAC,KAAK,eAAa,KAAG,KAAK;AAAQ,YAAM,IAAI,MAAM,mCAAmC,UAAU,KAAK,UAAU;AAAE,SAAK,UAAU,GAAE,GAAGA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAM,YAAM,IAAI,MAAM,wBAAwB,KAAK,8BAA8BA,IAAE,OAAO;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,IAAI,QAAI,KAAG,GAAE,EAAE;AAAE,QAAG,MAAIA,IAAE,MAAM,CAAC;AAAE,YAAM,IAAI,MAAM;AAAA;AAAA,UAE3pE,6BAA6BA,IAAE,OAAO;AAAE,QAAG,CAAC,KAAK,eAAa,EAAE,WAAS,KAAK;AAAQ,YAAM,IAAI,MAAM,2DAA2D,KAAK,eAAe,EAAE,sEAAsE;AAAE,QAAI,IAAE,MAAI,IAAE,IAAEA,IAAE,OAAK,GAAE,IAAE,CAAC;AAAE,OAAG,MAAI;AAAC,MAAAA,MAAE,EAAEA,KAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,YAAI,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,GAAGA,KAAE,GAAE,CAAC,GAAE,KAAK,YAAY;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE;AAAE,SAAK,UAAU,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,SAAS;AAAA,EAAE;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,SAAK,UAAQ,GAAE,KAAK,eAAaA,KAAE,KAAK,eAAa,GAAE,KAAG,QAAM,EAAE,QAAQ,OAAG;AAAC,UAAG,MAAI,EAAE;AAAM,cAAM,IAAI,MAAM,mCAAmC,wBAAwB,EAAE,OAAO;AAAE,SAAGA,KAAE,EAAE,OAAM,6BAA6B,GAAE,GAAG,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,WAAS,GAAG,CAAC,GAAE,KAAK,iBAAe,GAAE,GAAG,KAAK,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,IAAI,GAAG,CAAC,GAAG,KAAK,OAAO,GAAE,KAAK,cAAa,KAAK,YAAY;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,QAAQ,QAAQ,CAAAA,QAAG;AAAC,OAAC,KAAG,QAAM,CAAC,EAAE,IAAIA,IAAE,EAAE,MAAIA,IAAE,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,QAAQ,SAAO,GAAE,KAAK,SAAS,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,QAAQ;AAAA,EAAM;AAAA,EAAC,MAAM,GAAEA,KAAE,IAAE,IAAG;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,QAAG,MAAI,MAAI,KAAK,QAAQ,WAAS;AAAE,YAAM,IAAI,MAAM,kCAAkC,kCAAkC,KAAK,QAAQ,kBAAkB;AAAE,OAAG,GAAE,KAAK,cAAa,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,KAAK,QAAQ,IAAI,OAAG,EAAE,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,QAAG,KAAK,KAAK,MAAI;AAAE,YAAM,IAAI,MAAM,mCAAmC;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI;AAAE,WAAO,EAAE,OAAK,OAAG,GAAG,EAAE,OAAM,GAAE,6BAA6B,GAAE,EAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmC,EAAE,4BAA4B,KAAK,cAAc;AAAE,QAAG,GAAG,EAAE,OAAM,KAAK,cAAa,6BAA6B,GAAE,KAAK,mBAAiB,KAAK,KAAK;AAAE,YAAM,IAAI,MAAM,0CAA0C;AAAE,OAAG,CAAC,GAAE,KAAK,QAAQ,KAAK,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0DAA0D,GAAG;AAAE,QAAG,KAAK,mBAAiB,MAAI,IAAE,KAAK;AAAe,YAAM,IAAI,MAAM,+BAA+B,8BAA8B,KAAK,iBAAiB;AAAE,QAAIA,MAAE,IAAI,GAAG,CAAC,GAAE,KAAK,cAAa,KAAK,cAAa,KAAK,cAAc;AAAE,IAAAA,IAAE,QAAQ,SAAO;AAAE,aAAQ,IAAE,GAAE,IAAE,KAAK,IAAI,KAAK,QAAQ,QAAO,CAAC,GAAE,EAAE;AAAE,MAAAA,IAAE,QAAQ,CAAC,IAAE,KAAK,QAAQ,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE,GAAE;AAAC,QAAG,MAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmC,wBAAwB,KAAK,cAAc;AAAE,QAAG,IAAE,KAAG,IAAE,KAAK,QAAQ;AAAO,YAAM,IAAI,MAAM,4BAA4B,oBAAoB,KAAK,QAAQ,kBAAkB;AAAE,QAAG,KAAK,QAAQ,CAAC,KAAG;AAAK,YAAM,IAAI,MAAM,oBAAoB,YAAY;AAAE,OAAG,KAAK,QAAQ,CAAC,EAAE,OAAMA,KAAE,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQA,GAAC;AAAE,WAAO,EAAE,KAAK,QAAQ,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAGA,IAAE,UAAQ,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,IAAE,4BAA4B,KAAK,cAAc;AAAE,QAAG,IAAE,KAAG,KAAK,mBAAiB,MAAI,KAAG,KAAK;AAAe,YAAM,IAAI,MAAM,yBAAyB,wBAAwB,KAAK,0BAA0B;AAAE,OAAG,KAAK,cAAaA,IAAE,OAAM,6BAA6B,GAAE,GAAGA,GAAC,GAAE,KAAK,QAAQ,CAAC,KAAG,SAAO,KAAK,QAAQ,CAAC,EAAE,OAAK,QAAI,KAAK,QAAQ,CAAC,IAAEA;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE,GAAE;AAAC,QAAGA,QAAI,KAAK;AAAa,YAAM,IAAI,MAAM,mCAAmCA,0BAAwB,KAAK,cAAc;AAAE,OAAG,KAAK,cAAa,GAAE,6BAA6B,GAAE,IAAE,EAAE,MAAM,GAAE,KAAK,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQ,CAAC;AAAE,WAAO,EAAE,WAAS,IAAE,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,GAAG,MAAI;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,QAAQ,CAAC,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAG,KAAG,MAAI,KAAK;AAAa,YAAM,IAAI,MAAM,uBAAuB,KAAK,2CAA2C,GAAG;AAAE,OAAG,KAAK,cAAaA,KAAE,6BAA6B;AAAE,QAAI,IAAE,GAAG,KAAK,cAAa,KAAK,SAAQA,GAAC;AAAE,WAAO,KAAK,KAAK,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,GAAG,MAAI;AAAC,UAAI,IAAE,KAAK,QAAQ,IAAI,OAAG,EAAE,GAAE,CAAC,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE;AAAM,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQA;AAAE,UAAM,IAAI,MAAM,mCAAmC,EAAE,4BAA4BA,KAAG;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM,CAAC;AAAE,KAAG,GAAE,GAAE,6BAA6B;AAAE,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAI,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAO,IAAI,GAAG,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,cAAc,EAAE,MAAM,CAAC,GAAG;AAAE,MAAI,IAAE,KAAK,IAAI,GAAG,CAAC;AAAE,MAAG,KAAG,QAAM,MAAI,MAAI,KAAG;AAAE,UAAM,IAAI,MAAM,mCAAmC,UAAU,IAAI;AAAE,MAAI,IAAE,IAAI,GAAG,CAAC,GAAEA,KAAE,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,QAAQ,GAAE,EAAE,CAAC,CAAC;AAAA,EAAC,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,IAAI,QAAI,KAAG,GAAE,EAAE;AAAE,MAAG,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM;AAAA;AAAA,UAEj6J,6BAA6B,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM,CAAC,GAAE,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,MAAI,IAAE,IAAE,EAAE,OAAK,GAAE,IAAE,GAAG,MAAI;AAAC,QAAI,IAAE,CAAC;AAAE,QAAE,EAAE,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,QAAQ,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAEA,KAAE,EAAE,OAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,QAAQ,GAAE,EAAE,CAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,OAAM,GAAE,GAAEA,QAAI;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAK,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,cAAO,MAAM,EAAE,KAAK,GAAG,CAAC,IAAEA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa,IAAEA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAQ,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE,GAAE,IAAE,MAAM,EAAE,CAAC,EAAE,KAAK;AAAE,QAAE,QAAQ,OAAG;AAAC,SAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,MAAC,CAAC;AAAE,UAAI,IAAE;AAAE,aAAK,EAAE,CAAC,KAAG;AAAC,YAAI,IAAE;AAAE,YAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAE,YAAI,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE;AAAE,UAAE,QAAQ,OAAG;AAAC,WAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,QAAC,CAAC;AAAE,YAAI,IAAE,MAAMA,IAAE,YAAY,CAAC,EAAE,qBAAqB,GAAEA,IAAE,gBAAeA,IAAE,aAAa;AAAE,YAAE,MAAM,EAAE,CAAC,EAAE,KAAK,GAAE,EAAE,QAAQ,OAAG;AAAC,WAAC,EAAE,QAAM,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ,EAAE,EAAE,MAAI,MAAI,EAAE,QAAQ;AAAA,QAAC,CAAC;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,SAAO,IAAE,GAAG,CAAC,KAAI,MAAM,EAAE,KAAK,GAAG,CAAC,IAAE,CAAC,QAAO,CAAC,IAAE,CAAC,GAAE,MAAM;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,WAAW,KAAK,OAAG,GAAG,GAAE,GAAEA,GAAC,MAAI,MAAM;AAAE,UAAG,GAAE;AAAC,YAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,eAAM,CAAC,GAAG,CAAC,CAAC;AAAA,MAAC;AAAC;AAAA,IAAM;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,WAAW,CAAC,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,UAAU,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAOA,IAAE,cAAc,GAAE,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,0BAAyB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,eAAe,CAAC,GAAE,CAAC,EAAE,UAAS,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,eAAe,EAAE,EAAE,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,eAAe,EAAE,EAAE,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,wBAAuB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAM,CAAC,GAAG,EAAE,KAAK,GAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,eAAe,EAAE,EAAE;AAAE,aAAO,EAAE,cAAc,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,QAAQ,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAoB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE;AAAE,QAAE,OAAK,sBAAoB,IAAE,gBAAc,IAAE;AAAiB,UAAI,IAAE,EAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAK,sBAAoB,KAAG,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,OAAO,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,MAAM,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,wBAAuB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAmB,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,sBAAqB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAO,EAAE,SAAS,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAACA,IAAE,cAAc,EAAE,EAAE,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE;AAAE,aAAM,CAAC,GAAG,EAAE,KAAK,GAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,oBAAmB;AAAC,UAAI,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAEA,IAAE,cAAc,EAAE,EAAE,EAAE,OAAO,CAAC;AAAE,aAAOA,IAAE,cAAc,CAAC,GAAE,CAAC,EAAE,QAAQ;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAI,WAAU,IAAE,CAAC,GAAE,IAAE,MAAI,SAAQ,IAAE,MAAI,kBAAiB,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,MAAG,GAAE;AAAC,QAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,uGAAuG;AAAE,QAAG,CAAC,KAAG,KAAG,MAAI;AAAE,YAAM,IAAI,MAAM,kFAAkF;AAAA,EAAC;AAAC,MAAG;AAAE,UAAM,IAAI,MAAM,sEAAsE;AAAE,MAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,GAAE,IAAE;AAAQ,MAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAG,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,OAAO,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,QAAO,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,SAAQ,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,8BAA6B;AAAC,UAAG,EAAC,QAAO,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,UAAS,GAAE,gBAAe,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,gBAAgB,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,QAAO,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,SAAQ,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,gBAAgB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAwB,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY;AAAE,aAAM,CAAC,EAAE,gBAAgB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,uBAAsB,GAAE,GAAEA,GAAC,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,EAAE,kBAAkB,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,MAAM,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,YAAY,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAuB,aAAM,CAAC,EAAE,qBAAqB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAmB,aAAM,CAAC,EAAE,iBAAiB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,GAAE,GAAE,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,mBAAkB;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,gBAAgB,GAAE,GAAE,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,SAAM,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC;AAAC;AAAC,IAAI,KAAG,OAAM,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAM,EAAE,MAAM,gCAAgC,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAgB,EAAE,cAAc;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,sBAAqB,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAM,EAAE,MAAM,6BAA6B,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAgB,EAAE,YAAY;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAsB,KAAI,uBAAsB;AAAC,UAAG,EAAC,OAAM,GAAE,QAAO,GAAE,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,MAAM,uBAAuB,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,KAAK,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,MAAM,GAAE,IAAE,CAAC,MAAM,EAAE,WAAW,CAAC,CAAC;AAAE,aAAO,EAAE,QAAQ,GAAE;AAAA,IAAC;AAAA,IAAC,KAAI;AAAW,aAAO,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAK,GAAE,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAO,GAAE,CAAC;AAAE,aAAM,CAAC,EAAE,QAAO,EAAE,OAAO;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAQ,aAAO,EAAE,EAAE,IAAI;AAAA,IAAE,KAAI;AAAyB,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,KAAG,CAAC;AAAA,IAAE,KAAI;AAAc,aAAM,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW,KAAI;AAAA,IAAe,KAAI,2BAA0B;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAY,aAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,IAAI,OAAG,GAAG,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,GAAG,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,OAAM,OAAO,CAAC;AAAA,IAAE,KAAI;AAAS,aAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,IAAI,OAAG,EAAE,SAAS,EAAE,KAAK,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,MAAK,OAAO,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,EAAE,MAAK,OAAO,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,OAAO,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC;AAAE,cAAQ,KAAK,gGAAgG,GAAE,QAAQ,IAAI,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,gBAAQ,IAAI,MAAM,UAAU,MAAM,KAAK,EAAE,CAAC,EAAE,SAAS,CAAC,EAAE,MAAM,GAAE,CAAC,CAAC;AAAE,aAAM,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,IAAI,KAAI;AAAC,WAAO,KAAK,OAAO;AAAA,EAAE;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,WAAS,GAAE,KAAK,aAAWA,KAAE,KAAK,SAAO,GAAG,CAAC,GAAE,KAAK,YAAU,oBAAI,OAAI,GAAG,KAAK,MAAM;AAAA,EAAC;AAAA,EAAC,gBAAe;AAAC,SAAK,UAAU,QAAQ,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,UAAU,MAAM,GAAE,KAAK,OAAO,QAAQ;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,WAAO,KAAK,UAAU;AAAA,EAAI;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG,KAAK,KAAK,GAAE,OAAO;AAAA,EAAC;AAAA,EAAC,MAAM,OAAO,GAAEA,KAAE;AAAC,SAAK,uBAAuB,GAAEA,GAAC;AAAE,QAAI,IAAE,MAAM,EAAE,KAAK;AAAE,WAAO,KAAK,UAAU,QAAQ,OAAG,EAAE,QAAQ,CAAC,GAAE,KAAK,UAAU,MAAM,GAAE,GAAG,MAAI;AAAC,UAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE;AAAO,QAAE,OAAO,MAAI,GAAE,MAAI,kDAAkD,8BAA8B,aAAa;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAG,CAAC,GAAE,KAAK,UAAU,IAAI,GAAE,CAAC;AAAA,MAAC;AAAC,aAAO,KAAK;AAAA,IAAM,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAEA,KAAE;AAAC,SAAK,uBAAuB,GAAEA,GAAC;AAAE,QAAI,IAAE,MAAM,EAAE,KAAK;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAEA,GAAC;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC;AAAC,aAAO,GAAG,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAG,OAAK,IAAEA;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE;AAAC,QAAG,EAAE,UAAQ,KAAK;AAAS,YAAM,IAAI,MAAM,oBAAoB,KAAK,qBAAqB,EAAE,OAAO;AAAE,QAAGA,IAAE,UAAQ,KAAK;AAAW,YAAM,IAAI,MAAM,sBAAsB,KAAK,uBAAuBA,IAAE,OAAO;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,OAAM,GAAE,GAAEA,KAAE,MAAI;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAY,KAAI,eAAc;AAAC,UAAI,IAAE,EAAE,yBAAyB,EAAE,IAAI;AAAE,UAAG,KAAG;AAAK,eAAM,CAAC,CAAC;AAAE;AAAC,YAAI,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,eAAO,EAAE,aAAa,EAAE,MAAK,CAAC,GAAE,CAAC,EAAE,MAAM;AAAA,MAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI;AAAA,IAAoB,KAAI;AAAA,IAAoB,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,iBAAiB,EAAE,EAAE,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,MAAM,EAAE,iBAAiB,EAAE,EAAE,EAAE,KAAK,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAkB,KAAI,qBAAoB;AAAC,UAAI,IAAE,EAAE,eAAc,GAAE,GAAEA,KAAE,CAAC;AAAE,aAAM,CAAC,EAAE,iBAAiB,EAAE,EAAE,EAAE,WAAW,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,eAAe,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,yBAAwB;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,sBAAsB,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,sBAAqB,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,cAAc,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,8BAA6B;AAAC,UAAI,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,UAAU,GAAE,GAAE,EAAE,YAAY,GAAE,EAAE,YAAY,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAW,aAAM,CAAC,EAAE,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAe,aAAM,CAAC,EAAE,aAAa,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAS,KAAI;AAAW,aAAM,CAAC,EAAE,MAAM,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAc,KAAI;AAAA,IAAgB,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAS,aAAM,CAAC,EAAE,OAAO,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,GAAG,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAe,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,IAAE,MAAI,WAAU,IAAE,MAAI,SAAQ,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC;AAAE,UAAG,GAAE;AAAC,YAAG,KAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,oFAAoF;AAAE,YAAG,CAAC,KAAG,MAAI;AAAE,gBAAM,IAAI,MAAM,+DAA+D;AAAA,MAAC;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,OAAO,EAAC,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,YAAW,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,YAAW,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAiB,aAAM,CAAC,EAAE,OAAO,SAAS,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAiB,KAAI;AAAmB,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAmB,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAM,aAAM,CAAC,EAAE,2BAA2B,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAa,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAG,EAAC,oBAAmB,GAAE,mBAAkB,EAAC,IAAE,EAAE,aAAa,EAAE,sBAAqB,GAAE,GAAEA,GAAC,GAAE,EAAE,qBAAoB,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,oBAAmB,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAO,EAAE,OAAO,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAG,EAAC,gBAAe,GAAE,eAAc,EAAC,IAAE,EAAE,YAAY,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAuB,aAAM,CAAC,EAAE,qBAAqB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,uBAAsB,GAAE,GAAEA,GAAC,GAAE,EAAE,qBAAoB,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,OAAM;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAW,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,GAAE,CAAC,CAAC;AAAA,IAAE,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,cAAc,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAA,IAAW,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAO,IAAE,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,EAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,EAAE,KAAK,GAAE,OAAO,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,OAAO,GAAE,EAAE,KAAK,GAAE,OAAO,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,KAAG,EAAE,KAAK,CAAC;AAAE,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAI,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,OAAM,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,kBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAO,aAAO,GAAG,MAAI;AAAC,YAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,QAAQ,EAAE,CAAC,CAAC,EAAE,OAAM,IAAE,EAAE,IAAI,OAAG;AAAC,cAAI,IAAE,EAAE,YAAY,EAAE,OAAM,CAAC;AAAE,cAAG,CAAC,KAAG,CAAC,EAAE,YAAY,EAAE,QAAQ,CAAC,EAAE,OAAM,CAAC;AAAE,kBAAM,IAAI,MAAM,wCAAwC;AAAE,iBAAO,IAAE,IAAE,EAAE,QAAQ,GAAE,CAAC;AAAA,QAAC,CAAC;AAAE,eAAM,CAAC,EAAE,MAAM,GAAE,CAAC,CAAC;AAAA,MAAC,CAAC;AAAA,IAAE,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,QAAQ,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAA,IAAQ,KAAI,UAAS;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,mBAAkB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC;AAAE,aAAO,EAAE,MAAM,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,aAAY;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,UAAU,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,YAAW;AAAC,UAAI,IAAE,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,SAAS,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAI,IAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,cAAc,GAAE,GAAE,GAAE,EAAE,UAAQ,EAAE,QAAM,IAAE,EAAE,KAAK,GAAE,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAI,IAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,UAAS,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,oBAAoB,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI,uBAAsB;AAAC,UAAG,EAAC,eAAc,GAAE,cAAa,GAAE,mBAAkB,GAAE,iBAAgB,EAAC,IAAE,EAAE,OAAO,oBAAoB,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,UAAS,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,gBAAe,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,iBAAgB;AAAC,UAAG,EAAC,eAAc,GAAE,aAAY,EAAC,IAAE,EAAE,OAAO,cAAc,EAAE,gBAAe,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAoB,aAAM,CAAC,EAAE,OAAO,kBAAkB,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAmB,aAAM,CAAC,EAAE,OAAO,iBAAiB,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAM,CAAC,EAAE,MAAM,EAAE,KAAI,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAqB,aAAM,CAAC,EAAE,OAAO,mBAAmB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,gBAAe;AAAC,UAAG,EAAC,QAAO,GAAE,cAAa,EAAC,IAAE,EAAE,OAAO,aAAa,EAAE,QAAO,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,eAAc,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,YAAW,GAAE,GAAEA,GAAC,GAAE,EAAE,0BAAyB,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,eAAc;AAAC,UAAG,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE,EAAE,OAAO,YAAY,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,CAAC;AAAE,aAAM,CAAC,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAyB,aAAM,CAAC,EAAE,OAAO,uBAAuB,EAAE,SAAQ,GAAE,GAAEA,GAAC,GAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,IAAE,OAAK;AAAC,UAAO,EAAE,IAAG;AAAA,IAAC,KAAI;AAAO,aAAM,CAAC,EAAE,KAAK,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,cAAa;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,WAAW,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAE,EAAE,QAAO,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAU,aAAM,CAAC,EAAE,QAAQ,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAc,aAAM,CAAC,EAAE,YAAY,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAY,aAAM,CAAC,EAAE,UAAU,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,QAAO,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAA,IAAQ,KAAI;AAAM,aAAM,CAAC,EAAE,IAAI,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,WAAU,GAAE,GAAEA,GAAC,GAAE,EAAE,iBAAgB,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,YAAW,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,kBAAiB;AAAC,UAAI,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC;AAAE,aAAM,CAAC,EAAE,eAAe,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI,gBAAe;AAAC,UAAI,IAAE,EAAE,aAAY,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAa,GAAE,GAAEA,GAAC,EAAE,YAAY;AAAE,aAAM,CAAC,EAAE,aAAa,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC;AAAA,IAAC,KAAI;AAAc,aAAM,CAAC,EAAE,YAAY,EAAE,KAAI,GAAE,GAAEA,GAAC,GAAE,EAAE,SAAQ,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE,KAAI;AAAgB,aAAM,CAAC,EAAE,cAAc,EAAE,MAAK,GAAE,GAAEA,GAAC,GAAE,EAAE,MAAK,GAAE,GAAEA,GAAC,CAAC,CAAC;AAAA,IAAE;AAAQ,YAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,IAAG;AAAC,MAAI,KAAG,CAAC,GAAE,GAAE,MAAI;AAAC,YAAO,EAAE,UAAS;AAAA,MAAC,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,GAAG,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAc,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,GAAG,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAU,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAgB,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAY,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAW,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAS,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAiB,eAAO,EAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,MAAE,KAAI;AAAa,eAAO,GAAG,GAAE,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAS,YAAI,IAAE,GAAG,EAAE,EAAE;AAAE,YAAG,KAAG,EAAE;AAAe,iBAAO,EAAE,eAAe,IAAI,GAAG,GAAE,GAAE,CAAC,CAAC;AAAE,cAAM,UAAU,aAAa,EAAE,uBAAuB;AAAA,MAAE;AAAQ,cAAM,UAAU,eAAe,EAAE,uIAAuI;AAAA,IAAC;AAAA,EAAC,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAO,EAAE,UAAU,CAAC,IAAE,EAAE,KAAK,OAAG,CAAC,EAAE,OAAO,CAAC,CAAC,IAAE,CAAC,EAAE,OAAO,CAAC;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,CAAC,GAAEA,MAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE;AAAC,SAAK,YAAU,GAAE,KAAK,iBAAeA,KAAE,KAAK,gBAAc,GAAE,KAAK,cAAY,GAAE,KAAK,qBAAmB,GAAE,KAAK,cAAY,EAAC,IAAG,GAAE,WAAU,IAAG,aAAY,EAAC,GAAE,KAAK,WAAS,CAAC,KAAK,WAAW,GAAE,KAAK,SAAO,GAAE,KAAK,0BAA0B;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE;AAAC,WAAM,EAAC,IAAG,GAAE,WAAUA,KAAE,aAAY,EAAC;AAAA,EAAC;AAAA,EAAC,IAAI,eAAe,GAAE;AAAC,SAAK,aAAW,MAAI,KAAK,WAAS,GAAE,KAAK,0BAA0B;AAAA,EAAE;AAAA,EAAC,IAAI,iBAAgB;AAAC,WAAO,KAAK;AAAA,EAAQ;AAAA,EAAC,IAAI,mBAAkB;AAAC,WAAO,KAAK,mBAAmB,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,4BAA2B;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQA,MAAE,GAAEA,MAAE,KAAK,SAAS,SAAO,GAAEA,OAAI;AAAC,UAAI,IAAE,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,SAAOA,GAAC;AAAE,QAAE,KAAK,KAAK,qBAAqB,CAAC,CAAC;AAAA,IAAC;AAAC,MAAE,KAAK,EAAE,GAAE,KAAK,qBAAmB;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAE;AAAC,WAAO,IAAE,EAAE,IAAI,CAAAA,QAAGA,IAAE,OAAK,KAAGA,IAAE,gBAAc,IAAE,KAAG,GAAGA,IAAE,aAAaA,IAAE,aAAa,EAAE,KAAK,GAAG,IAAE;AAAA,EAAE;AAAA,EAAC,WAAW,GAAE;AAAC,SAAK,aAAW,KAAK,UAAS,KAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,KAAK,KAAK,SAAS,KAAK,QAAO,CAAC,CAAC,GAAE,KAAK,mBAAmB,QAAQ,KAAK,qBAAqB,KAAK,QAAQ,CAAC;AAAA,EAAE;AAAA,EAAC,YAAW;AAAC,QAAG,KAAK,YAAU,KAAK,SAAS,SAAO;AAAE,WAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK,SAAS,OAAO,EAAE,GAAE,KAAK,kBAAkB,MAAM;AAAA;AAAO,YAAM,IAAI,MAAM,yCAAyC;AAAA,EAAC;AAAA,EAAC,gBAAe;AAAC,QAAG,KAAK,YAAU,KAAK,SAAS,SAAO,GAAE;AAAC,WAAK,WAAS,KAAK,SAAS,MAAM,GAAE,KAAK;AAAS,UAAI,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS,KAAK,SAAS,SAAO,CAAC,CAAC;AAAE,QAAE,eAAa,GAAE,EAAE,KAAG,KAAK,QAAO,KAAK,SAAS,OAAO,IAAG,GAAE,CAAC,GAAE,KAAK,mBAAmB,OAAO,GAAE,GAAE,KAAK,qBAAqB,KAAK,QAAQ,CAAC;AAAA,IAAC;AAAM,YAAM,IAAI,MAAM,uDAAuD;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,KAAK,UAAU,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,SAAK,eAAe,EAAE,EAAE,IAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAE;AAAC,WAAO,KAAK,eAAe,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,cAAc,EAAE,EAAE,IAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,WAAO,KAAK,cAAc,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAE;AAAC,aAAQA,OAAK,KAAK;AAAe,WAAK,eAAeA,GAAC,EAAE,cAAc,CAAC;AAAE,aAAQA,OAAK,KAAK;AAAc,WAAK,cAAcA,GAAC,EAAE,cAAc,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,oBAAI,OAAI,IAAE,CAAC,GAAE,IAAE,MAAK,IAAE,MAAK,IAAE,oBAAI,OAAI,IAAE,IAAI,IAAI,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC;AAAE,MAAE,KAAG,CAAC;AAAE,MAAI,IAAE,IAAI,IAAI,EAAE,IAAI,OAAG,GAAG,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAG,CAAC;AAAE,SAAK,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI;AAAE,SAAI,GAAG,CAAC,KAAG,GAAG,CAAC,KAAG,GAAG,CAAC,MAAI,KAAG,SAAO,IAAE,GAAE,IAAE,EAAE,SAAS,IAAI,OAAG,EAAE,IAAI,EAAE,OAAO,OAAG,EAAE,IAAI,CAAC,CAAC,IAAG,EAAE,IAAI,EAAE,IAAI,GAAEA,IAAE,EAAE,IAAI,KAAG,QAAM,CAAC,EAAE,IAAI,EAAE,IAAI,KAAG,CAAC,EAAE,IAAI,EAAE,IAAI,GAAE;AAAC,UAAG,EAAE,OAAO,WAAS,GAAE;AAAC,UAAE,KAAK,EAAE,IAAI;AAAE;AAAA,MAAQ;AAAC,QAAE,OAAO,QAAQ,OAAG;AAAC,UAAE,IAAI,EAAE,IAAI,MAAI,EAAE,IAAI,EAAE,IAAI,GAAE,EAAE,KAAK,CAAC;AAAA,MAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,GAAE,SAAQ,GAAE,WAAU,GAAE,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAC,WAAUA,KAAE,QAAO,EAAC,IAAE,GAAE,IAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,aAAW,CAAC,GAAE,IAAE,OAAGA,IAAE,IAAI,OAAO,KAAG,WAAS,IAAE,EAAE,IAAI;AAAE,WAAS,EAAE,GAAE;AAAC,WAAM,CAAC,GAAG,IAAI,IAAI,EAAE,IAAI,OAAG,CAAC,EAAE,MAAK,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,CAAC,GAAG,GAAE,GAAG,EAAE,SAAQ,GAAG,CAAC,CAAC,EAAE,OAAO,CAAC,GAAE,IAAE,EAAE,CAAC,GAAG,GAAE,GAAG,OAAO,OAAO,EAAE,KAAK,CAAC,CAAC,EAAE,OAAO,CAAC,GAAE,IAAE,IAAI,IAAI,EAAE,IAAI,OAAG,CAAC,EAAE,MAAK,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,KAAK,GAAE;AAAC,MAAE,EAAE,IAAI,IAAE,EAAE,EAAE,IAAI,KAAG;AAAE,aAAQ,KAAK,EAAE;AAAS,QAAE,CAAC,MAAI,EAAE,EAAE,IAAI,IAAE,OAAO,oBAAmB,EAAE,EAAE,IAAI,KAAG,EAAE,EAAE,IAAI,KAAG,KAAG;AAAA,EAAC;AAAC,MAAI,IAAE,OAAO,QAAQ,CAAC,EAAE,OAAO,CAAC,CAAC,EAAC,CAAC,MAAI,MAAI,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,MAAI,CAAC,GAAE,IAAE,CAAC,GAAG,CAAC;AAAE,SAAK,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI,GAAE,IAAE,EAAE,IAAI,CAAC;AAAE,aAAQ,KAAK,EAAE,SAAS,OAAO,CAAC;AAAE,QAAE,EAAE,EAAE,IAAI,MAAI,MAAI,EAAE,KAAK,EAAE,IAAI,GAAE,EAAE,KAAK,EAAE,IAAI;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,IAAI,EAAE,IAAI,OAAG,CAAC,EAAE,MAAK,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,GAAE,IAAE,IAAI,IAAI,CAAC;AAAE,SAAK,EAAE,SAAO,KAAG;AAAC,QAAI,IAAE,EAAE,IAAI,GAAE,IAAEA,IAAE,IAAI,CAAC;AAAE,aAAQ,KAAK,EAAE;AAAS,OAACA,IAAE,IAAI,EAAE,IAAI,KAAG,EAAE,IAAI,EAAE,IAAI,MAAI,EAAE,IAAI,EAAE,IAAI,GAAE,EAAE,KAAK,EAAE,IAAI;AAAA,EAAE;AAAC,SAAO,EAAE,OAAO,OAAG,EAAE,IAAI,EAAE,IAAI,CAAC;AAAC;AAAC,IAAI,KAAG,cAAc,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,UAAM,6BAA6B,GAAG;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,IAAI,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,MAAK,CAAC,CAAC,CAAC,GAAE,IAAE,IAAI,IAAI,EAAE,IAAI,OAAG,EAAE,IAAI,CAAC,GAAE,IAAE,OAAG,EAAE,IAAI,OAAO,KAAG,WAAS,IAAE,EAAE,IAAI,GAAE,IAAE,IAAI,IAAI,EAAE,IAAI,OAAG,EAAE,IAAI,CAAC,GAAE,IAAE,OAAG,EAAE,IAAI,OAAO,KAAG,WAAS,IAAE,EAAE,IAAI;AAAE,WAAQ,KAAK,GAAE;AAAC,aAAQ,KAAK,EAAE,SAAS,OAAO,CAAC,GAAE;AAAC,UAAG,CAACA,IAAE,IAAI,EAAE,IAAI;AAAE,cAAM,IAAI,GAAG,SAAS,EAAE,gBAAgB,EAAE,sBAAsB;AAAE,UAAGA,IAAE,IAAI,EAAE,IAAI,IAAEA,IAAE,IAAI,EAAE,IAAI;AAAE,cAAM,IAAI,GAAG,QAAQ,EAAE,4CAA4C,EAAE,OAAO;AAAA,IAAC;AAAC,QAAG,CAAC,EAAE,CAAC;AAAE,eAAQ,KAAK,EAAE,QAAO;AAAC,YAAG,CAACA,IAAE,IAAI,EAAE,IAAI;AAAE,gBAAM,IAAI,GAAG,SAAS,EAAE,gBAAgB,EAAE,sBAAsB;AAAE,YAAGA,IAAE,IAAI,EAAE,IAAI,IAAEA,IAAE,IAAI,EAAE,IAAI;AAAE,gBAAM,IAAI,GAAG,QAAQ,EAAE,6CAA6C,EAAE,OAAO;AAAA,MAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,IAAI,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,EAAE,MAAK,CAAC,CAAC,CAAC,GAAEA,MAAE,OAAO,kBAAiB,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,CAAC,IAAEA,MAAE,CAAC,GAAE,IAAE,OAAG;AAAC,QAAI,IAAE,EAAE,EAAE,IAAI,EAAE,IAAI,CAAC;AAAE,WAAO,KAAG,OAAK,KAAG;AAAA,EAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,SAAS,IAAI,CAAC,EAAE,OAAO,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,oBAAI;AAAI,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,MAAIA;AAAE;AAAS,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAE,IAAI,EAAE,IAAI,KAAG,EAAE,IAAI,EAAE,MAAK,CAAC,CAAC,GAAE,EAAE,IAAI,EAAE,IAAI,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,oBAAI,IAAI,CAAC,UAAS,SAAQ,SAAQ,QAAO,iBAAgB,eAAc,kBAAiB,MAAK,OAAO,CAAC;AAA5G,IAA8G,KAAG,oBAAI,IAAI,CAAC,uBAAsB,uBAAsB,uBAAsB,OAAO,CAAC;AAApM,IAAsM,KAAG,oBAAI,IAAI,CAAC,aAAY,eAAc,qBAAoB,uBAAsB,mBAAkB,qBAAoB,mBAAkB,mBAAmB,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,IAAI,EAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,IAAI,EAAE,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,IAAI,EAAE,EAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,YAAU,KAAK;AAAA,EAAU;AAAA,EAAC,IAAI,sBAAqB;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,sBAAoB,KAAK;AAAA,EAAoB;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,KAAK,SAAO,KAAK,OAAO,YAAU,KAAK;AAAA,EAAU;AAAA,EAAC,IAAI,UAAU,GAAE;AAAC,QAAIA,MAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,EAAE,IAAI,OAAG,EAAE,EAAE,CAAC;AAAE,SAAK,aAAW,CAAC,EAAE,OAAO,GAAGA,GAAC,GAAE,KAAK,aAAW;AAAA,EAAC;AAAA,EAAC,IAAI,gBAAgB,GAAE;AAAC,SAAK,mBAAiB;AAAA,EAAC;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK,QAAQ,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,QAAO,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,OAAM,EAAE;AAAA,EAAC;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS,IAAI,QAAI,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,QAAO,OAAM,EAAE,WAAW,QAAM,EAAE,WAAW,MAAM,QAAM,OAAM,EAAE;AAAA,EAAC;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,QAAQ,IAAI,OAAG,EAAE,gBAAc,EAAE,IAAI;AAAA,EAAC;AAAA,EAAC,IAAI,cAAa;AAAC,WAAO,KAAK,SAAS,IAAI,OAAG;AAAC,UAAIA,MAAE,EAAE,gBAAc,EAAE;AAAK,aAAO,EAAE,gBAAc,GAAGA,OAAK,EAAE,kBAAgBA;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,YAAW;AAAC,WAAO,OAAO,KAAK,KAAK,UAAU,EAAE,OAAO,CAAC,GAAEA,SAAK,EAAEA,GAAC,IAAE,KAAK,WAAWA,GAAC,EAAE,WAAU,IAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,QAAM,GAAE,KAAK,SAAOA,KAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,qBAAmB,oBAAI,OAAI,KAAK,aAAW,CAAC,GAAE,KAAK,YAAU,KAAI,KAAK,aAAW,CAAC,GAAE,KAAK,uBAAqB,CAAC,GAAE,KAAK,0BAAwB,OAAG,KAAK,WAAS,EAAE,SAAQ,KAAK,UAAQ,EAAE,QAAO,KAAK,aAAW,EAAE,WAAU,KAAK,aAAW,EAAE,WAAU,KAAK,aAAW,EAAE,WAAU,EAAE,aAAW,QAAM,OAAO,KAAK,EAAE,SAAS,EAAE,QAAQ,OAAG;AAAC,WAAK,qBAAqB,CAAC,IAAE,IAAI,GAAG,EAAE,UAAU,CAAC,GAAE,IAAI;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,EAAE,IAAI,EAAE,KAAK,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,IAAI,EAAE,KAAK;AAAE,WAAO,EAAE,KAAK,KAAK,SAAS,IAAE,OAAK,EAAE,KAAK,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,GAAG,GAAEA,KAAE,KAAK,WAAU,KAAK,UAAU,GAAE,EAAC,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC,IAAE;AAAE,QAAG,KAAG;AAAK,YAAM,IAAI,MAAM,qCAAqC,EAAE,oCAAoC,EAAE,8GAA8G,IAAI;AAAE,QAAG,EAAE,SAAO,GAAE;AAAC,UAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,IAAI,GAAE,IAAE,OAAO,KAAK,CAAC;AAAE,YAAM,IAAI,MAAM,+BAA+B,gCAAgC,sCAAsC,IAAI;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,KAAK,OAAM,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,WAAM,EAAC,cAAa,GAAE,kBAAiB,EAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAG,KAAG;AAAK,aAAO;AAAK,QAAIA,MAAE,EAAE,MAAM;AAAE,WAAO,GAAGA,GAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,WAAO,IAAE,EAAE,IAAI,OAAG,KAAK,mBAAmB,CAAC,CAAC,IAAE;AAAA,EAAI;AAAA,EAAC,eAAe,GAAE;AAAC,WAAO,OAAO,YAAY,OAAO,QAAQ,CAAC,EAAE,IAAI,CAAC,CAACA,KAAE,CAAC,MAAI,CAACA,KAAE,KAAK,gBAAgB,CAAC,CAAC,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,SAAK,2BAA2B,GAAE,IAAE,KAAK,UAAU,CAAC;AAAE,QAAI,IAAE,OAAO,KAAK,CAAC,EAAE,KAAK;AAAE,SAAK,YAAY,CAAC,GAAE,KAAK,uBAAuB,CAAC,GAAEA,MAAE,KAAK,WAAWA,GAAC,GAAE,KAAK,aAAaA,GAAC;AAAE,QAAI,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,CAAC,CAAC;AAAE,MAAE,WAAS,MAAI,IAAE,KAAK;AAAU,QAAI,IAAE,KAAK,kBAAkB,GAAE,CAAC,GAAE,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,SAAG,SAAO,IAAE,KAAK,QAAQ,GAAE,CAAC,GAAE,KAAK,YAAY,IAAI,GAAE,CAAC;AAAG,QAAG;AAAC,WAAK,0BAAwB,EAAE,EAAE,QAAQ,2BAA2B;AAAA,IAAC,SAAO,GAAN;AAAS,WAAK,0BAAwB,OAAG,QAAQ,KAAK,EAAE,OAAO;AAAA,IAAC;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAO,GAAG,MAAI;AAAC,UAAI,IAAE,IAAI,GAAG,KAAK,WAAU,GAAE,GAAE,KAAK,qBAAoB,KAAK,kBAAkB,GAAE,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS;AAAE,WAAK,4BAA0B,KAAK,mBAAiB,KAAK,eAAe,KAAK,SAAS,IAAG,OAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,YAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC;AAAA,MAAE,CAAC;AAAE,UAAI,IAAE,KAAK,mBAAmB,CAAC,GAAE,EAAC,cAAa,GAAE,kBAAiB,EAAC,IAAE;AAAE,eAAQ,KAAK,GAAE;AAAC,YAAG,EAAE,EAAE,IAAI;AAAE;AAAS,YAAI,IAAE,GAAG,GAAE,GAAE,GAAE,KAAK,gBAAgB;AAAE,YAAG,EAAE,UAAU,CAAC;AAAE,gBAAM,IAAI,MAAM,4BAA4B,EAAE,kEAAkE;AAAE,UAAE,EAAE,IAAI,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,EAAE,IAAI,IAAE,KAAK,gBAAgB,CAAC,IAAG,KAAK,4CAA4C,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,IAAI,EAAE,IAAI,CAAC;AAAA,MAAC;AAAC,aAAO,KAAK,UAAQ,QAAM,EAAE,QAAQ,CAAC,GAAEA,IAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAIA,MAAE,CAAC,EAAE,OAAO,MAAM,CAAC,GAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,IAAI,OAAG,EAAE,IAAI,OAAG,EAAE,EAAE,CAAC,CAAC;AAAE,WAAO,IAAI,IAAIA,GAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAG,EAAE,GAAGA,GAAC,KAAG,EAAE,IAAI,CAAC,IAAG;AAAC,eAAQ,KAAK,EAAE,CAAC;AAAE,aAAG,SAAO,EAAE,EAAE,EAAE,KAAG,EAAE,EAAE,EAAE,KAAG,KAAGA,IAAE,SAAS;AAAQ,eAAQ,KAAKA,IAAE,QAAO;AAAC,YAAG,GAAG,CAAC;AAAE;AAAS,YAAI,IAAE,GAAG,EAAE,MAAK,GAAE,CAAC;AAAE,YAAG,KAAG;AAAK,mBAAQ,KAAK,GAAE;AAAC,gBAAG,CAAC,KAAG,EAAE,QAAM,EAAE,IAAI,EAAE,EAAE;AAAE;AAAS,gBAAI,IAAE,EAAE,EAAE,EAAE;AAAE,kBAAI,KAAG,EAAE,QAAQ,GAAE,OAAO,EAAE,EAAE,EAAE,KAAG,KAAG,QAAM,EAAE,EAAE,EAAE;AAAA,UAAG;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,4CAA4C,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,GAAG,CAAC,KAAG,EAAE,IAAI,EAAE,IAAI;AAAA,IAAC;AAAC,QAAG,EAAE,GAAG,CAAC,KAAG,KAAG;AAAM,eAAQ,KAAK,GAAE;AAAC,YAAG,EAAE,CAAC;AAAE;AAAS,YAAI,IAAE,GAAG,EAAE,MAAKA,KAAE,CAAC;AAAE,iBAAQ,KAAK;AAAE,WAAC,KAAG,EAAE,QAAM,EAAE,IAAI,EAAE,EAAE,KAAG,EAAE,QAAQ;AAAA,MAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,WAAO,KAAK,cAAc,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,qBAAmB,OAAO,OAAO,KAAK,gBAAgB,EAAE,QAAQ,OAAG;AAAC,eAAQA,OAAK;AAAE,QAAAA,OAAG,CAACA,IAAE,cAAYA,IAAE,QAAQ;AAAA,IAAC,CAAC,GAAE,KAAK,mBAAiB;AAAA,EAAK;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK;AAAA,EAAgB;AAAA,EAAC,MAAM,cAAc,GAAEA,KAAE,IAAE,OAAG,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE;AAAC,SAAK,2BAA2B,GAAE,MAAI,IAAE,KAAK,UAAU,CAAC,GAAE,KAAK,YAAY,CAAC,GAAE,KAAK,uBAAuB,CAAC,GAAEA,MAAE,KAAK,WAAWA,GAAC,GAAE,KAAK,aAAaA,GAAC;AAAG,QAAG;AAAC,WAAK,0BAAwB,EAAE,EAAE,QAAQ,2BAA2B;AAAA,IAAC,SAAO,GAAN;AAAS,WAAK,0BAAwB,OAAG,QAAQ,KAAK,EAAE,OAAO;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,KAAK,WAAU,GAAE,GAAE,KAAK,qBAAoB,KAAK,kBAAkB;AAAE,SAAK,4BAA0B,KAAK,mBAAiB,KAAK,eAAe,KAAK,SAAS;AAAG,QAAI,IAAE,MAAM,KAAK,uBAAuB,GAAE,GAAEA,KAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,EAAE,GAAE,IAAE,OAAO,KAAK,CAAC,EAAE,IAAI,OAAG,EAAE,CAAC,EAAE,EAAE,GAAE,IAAE,oBAAI,IAAI,CAAC,GAAG,GAAE,GAAG,GAAE,GAAG,KAAK,SAAS,CAAC;AAAE,WAAO,OAAO,OAAO,CAAC,EAAE,QAAQ,OAAG;AAAC,QAAE,QAAQ,OAAG;AAAC,aAAG,CAAC,EAAE,cAAY,CAAC,EAAE,IAAI,EAAE,EAAE,KAAG,EAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,UAAQ,QAAM,EAAE,QAAQ,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,MAAM,qBAAqB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAE,OAAO,CAAC,GAAE,GAAE,OAAK,EAAE,KAAK,OAAO,CAAC,EAAE,IAAI,IAAE,GAAE,IAAG,CAAC,CAAC;AAAE,WAAO,KAAK,cAAc,GAAE,KAAK,aAAY,MAAGA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,uBAAuB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,OAAO,KAAK,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,GAAG,CAAC,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,CAAC,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,IAAI,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,KAAK,MAAM,MAAM,CAAC,CAAC;AAAE,MAAE,WAAS,MAAI,IAAE,KAAK;AAAU,QAAG,EAAC,WAAU,GAAE,eAAc,GAAE,aAAY,GAAE,YAAW,EAAC,IAAE,GAAG,GAAE,GAAE,KAAK,WAAU,KAAK,UAAU,GAAE,IAAE,CAAC,GAAG,GAAE,GAAG,KAAK,MAAM,SAAQ,GAAG,KAAK,cAAY,CAAC,CAAC,EAAE,IAAI,QAAI,EAAC,MAAK,GAAE,UAASA,IAAE,eAAc,EAAE,GAAE,IAAE,OAAO,OAAO,CAAC,GAAE,KAAK,SAAS;AAAE,WAAO,KAAK,CAAC,EAAE,QAAQ,OAAG;AAAC,UAAG,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,CAAC,GAAE,IAAE,KAAK,mBAAmB,CAAC,GAAE,IAAE,CAAC;AAAE,WAAK,EAAE,SAAO,KAAG;AAAC,UAAI,IAAE,KAAK,aAAa,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,YAAM,QAAQ,IAAI,CAAC;AAAA,IAAC;AAAC,SAAG,QAAM,CAAC,KAAG,QAAQ,KAAK,iIAAiI;AAAE,QAAI,IAAE,EAAE,OAAO,OAAG,CAAC,GAAG,CAAC,KAAG,CAAC,GAAG,EAAE,MAAK,GAAEA,GAAC,CAAC,EAAE,IAAI,OAAG,EAAE,IAAI;AAAE,QAAG,EAAE,SAAO,GAAE;AAAC,UAAI,IAAE;AAAG,YAAM,KAAG,SAAO,IAAE,wFAAwF,OAAM,IAAI,MAAM,+BAA+B,gCAAgC,iDAAiD,OAAO,GAAG;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,WAAKA,IAAE,SAAO,KAAG;AAAC,UAAI,IAAEA,IAAE,IAAI;AAAE,QAAE,iBAAe,EAAE;AAAS,UAAI,IAAE;AAAG,UAAG,EAAE,KAAK,OAAK,WAAS,EAAE,cAAa,EAAE,MAAK,GAAE,CAAC,MAAI,CAAC,CAAC,IAAE,GAAG,EAAE,KAAK,MAAK,CAAC,IAAG,EAAE,EAAE,KAAK,IAAI,KAAG,MAAK;AAAC,YAAI,IAAE,GAAG,EAAE,MAAK,GAAE,GAAE,KAAK,gBAAgB;AAAE,cAAI,CAAC,CAAC,IAAE,GAAG,EAAE,KAAK,MAAK,CAAC;AAAG,YAAI,IAAE,EAAE;AAAe,UAAE,UAAU,CAAC,IAAE,EAAE,KAAK,EAAE,KAAK,QAAI,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC,IAAG,EAAE,iBAAe,GAAE,KAAK,uBAAuB,GAAE,EAAE,MAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,GAAE,KAAK,4BAA0B,KAAK,iBAAiB,CAAC,IAAE,KAAK,gBAAgB,CAAC,IAAG,KAAK,uBAAuB,GAAE,EAAE,MAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAE;AAAM,aAAK,kBAAkB,EAAE,MAAKA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,kBAAkB,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAE,SAAS,QAAQ,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,EAAE,MAAK,CAAC;AAAE,QAAE,CAAC,KAAG,CAAC,EAAE,IAAI,EAAE,IAAI,MAAI,EAAE,OAAK,UAAQ,EAAE,WAAW,KAAK,OAAG,CAAC,CAAC,GAAG,GAAE,GAAE,CAAC,CAAC,MAAI,EAAE,CAAC,IAAE,MAAGA,IAAE,KAAK,EAAC,UAAS,EAAE,gBAAe,MAAK,EAAC,CAAC,KAAG,EAAE,WAAW,MAAM,OAAG,CAAC,CAAC,GAAG,GAAE,GAAE,CAAC,CAAC,MAAI,EAAE,CAAC,IAAE,MAAGA,IAAE,KAAK,EAAC,UAAS,EAAE,gBAAe,MAAK,EAAC,CAAC;AAAA,IAAG,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,KAAK,SAAS,EAAE,QAAQ,OAAG,KAAK,UAAU,CAAC,EAAE,QAAQ,CAAAA,QAAGA,IAAE,QAAQ,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAE;AAAC,WAAO,KAAK,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,UAAI,IAAE,EAAEA,GAAC,GAAE,CAAC,CAAC,IAAE,GAAGA,GAAC,GAAE,IAAE,KAAK,MAAM,MAAM,CAAC;AAAE,UAAG,EAAE,WAAW,SAAO,EAAE,WAAW,MAAM,OAAM;AAAC,YAAI,IAAE,EAAE,WAAW,MAAM,OAAM,IAAE,EAAE,WAAS,EAAE,MAAM,UAAQ,EAAE,MAAM,MAAM,CAAC,GAAE,MAAI,EAAE,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,CAAC;AAAE,UAAE,OAAO,GAAE,MAAI,sBAAsB,EAAE,mDAAmD,gBAAgB,EAAE,QAAQ;AAAA,MAAC;AAAC,QAAE,WAAW,SAAO,EAAE,WAAW,MAAM,SAAO,EAAE,OAAO,EAAE,UAAQ,EAAE,WAAW,MAAM,OAAM,MAAI,sBAAsB,EAAE,kDAAkD,EAAE,WAAW,MAAM,kBAAkB,EAAE,OAAO;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,KAAE;AAAE,QAAI,IAAE,CAAC;AAAE,aAAQ,KAAK,GAAE;AAAC,UAAI,KAAG,KAAGA,MAAE,KAAK,gBAAc,QAAMA,QAAI,SAAO,SAAOA,IAAE,YAAU,QAAM,MAAI,SAAO,SAAO,EAAE,CAAC;AAAE,WAAG,OAAK,EAAE,EAAE,IAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,OAAO,KAAK,CAAC,EAAE,OAAO,OAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAG,CAAC;AAAE,aAAO,KAAK,MAAM,MAAM,CAAC,KAAG;AAAA,IAAI,CAAC;AAAE,QAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,uDAAuDA,iCAA+B;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,EAAE,IAAI,CAAAA,QAAG;AAAC,UAAI,GAAE;AAAE,UAAI,KAAG,KAAG,IAAE,KAAK,gBAAc,QAAM,MAAI,SAAO,SAAO,EAAE,aAAW,QAAM,MAAI,SAAO,SAAO,EAAEA,GAAC;AAAE,aAAO,KAAG,OAAK,EAAE,OAAKA;AAAA,IAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,MAAE,QAAQ,CAAAA,QAAG;AAAC,UAAG,CAAC,CAAC,IAAE,GAAGA,GAAC;AAAE,UAAG,CAAC,KAAK,MAAM,MAAM,CAAC;AAAE,cAAM,IAAI,MAAM,eAAeA,gCAA8B;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,IAAE,CAAC,GAAEA,MAAE,CAAC,GAAE;AAAC,SAAK,wBAAsB,GAAE,KAAK,eAAaA;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,SAAK,sBAAsB,CAAC,IAAEA,IAAE,QAAO,KAAK,aAAaA,IAAE,EAAE,IAAEA;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,WAAO,KAAK,sBAAsB,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,aAAQ,KAAK,KAAK;AAAa,WAAK,aAAa,CAAC,EAAE,cAAc,GAAE,OAAO,KAAK,aAAa,CAAC;AAAE,aAAQ,KAAK,KAAK;AAAsB,WAAK,sBAAsB,CAAC,EAAE,QAAQ,GAAE,OAAO,KAAK,sBAAsB,CAAC;AAAA,EAAC;AAAC;AAAE,IAAI,KAAG;AAAP,IAA2B,KAAG;AAA9B,IAA2C,KAAG,MAAK;AAAA,EAAC,IAAI,eAAc;AAAC,WAAO,KAAK;AAAA,EAAO;AAAA,EAAC,IAAI,aAAY;AAAC,WAAO,KAAK,SAAS;AAAA,EAAU;AAAA,EAAC,IAAI,cAAa;AAAC,WAAO,KAAK,SAAS;AAAA,EAAW;AAAA,EAAC,IAAI,SAAQ;AAAC,WAAO,KAAK,SAAS;AAAA,EAAM;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS;AAAA,EAAO;AAAA,EAAC,IAAI,UAAS;AAAC,WAAO,KAAK,SAAS;AAAA,EAAS;AAAA,EAAC,IAAI,WAAU;AAAC,WAAO,KAAK,UAAU;AAAA,EAAmB;AAAA,EAAC,IAAI,iBAAgB;AAAC,WAAO,KAAK;AAAA,EAAS;AAAA,EAAC,IAAI,4BAA2B;AAAC,WAAO,KAAK;AAAA,EAAoB;AAAA,EAAC,YAAY,GAAEA,MAAE,CAAC,GAAE,IAAE,IAAG;AAAC,SAAK,WAAS,GAAE,KAAK,cAAYA,KAAE,KAAK,UAAQ,OAAM,KAAK,KAAG,GAAEA,OAAG,SAAO,KAAK,cAAY,CAAC,IAAG,KAAK,kBAAgB,IAAI;AAAA,EAAE;AAAA,EAAC,gBAAe;AAAC,QAAI,IAAE,KAAK;AAAS,QAAG,EAAE,QAAM;AAAK,WAAK,UAAQ;AAAA,aAAU,KAAK,YAAY,eAAa;AAAK,WAAK,UAAQ,KAAK,GAAG,mBAAmB,GAAE,KAAK,WAAW;AAAA,SAAM;AAAC,UAAIA,MAAE,KAAK,GAAG,gBAAgB,GAAE,KAAK,WAAW;AAAE,UAAGA,IAAE,WAAS;AAAE,QAAAA,IAAE,KAAK,KAAK,GAAG,mBAAmB,GAAE,KAAK,WAAW,CAAC;AAAA,eAAUA,IAAE,SAAO;AAAE,cAAM,IAAI,MAAM,wBAAwBA,IAAE,kCAAkC,CAAC,CAAC,IAAI;AAAE,WAAK,UAAQA,IAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,OAAM;AAAC,QAAG,KAAK,cAAc,GAAE,KAAK,QAAQ,QAAM;AAAK,YAAM,IAAI,MAAM,+GAA+G;AAAE,QAAI,IAAE,KAAK,QAAQ,KAAK;AAAE,WAAO,EAAE,UAAU,CAAC,IAAE,EAAE,KAAK,CAAAA,QAAG,KAAK,SAASA,GAAC,CAAC,IAAE,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,SAAK,YAAU;AAAE,QAAIA,MAAE,KAAK,UAAU,eAAc,IAAE,KAAK,UAAU;AAAU,QAAG,KAAK,UAAU,uBAAqB,MAAK;AAAC,UAAI,IAAE,KAAK,UAAU;AAAoB,QAAE,aAAW,SAAO,IAAE,EAAE,YAAW,EAAE,wBAAsB,SAAO,KAAK,uBAAqB,EAAE;AAAA,IAAqB;AAAC,SAAK,YAAU,GAAE,KAAK,UAAQ,GAAGA,IAAE,SAAS,YAAYA,IAAE,SAAS;AAAc,QAAI,IAAE,KAAK,GAAG,cAAc,KAAK,UAAU,YAAW,KAAK,UAAU,WAAW;AAAE,QAAG,KAAK,WAAS,IAAI,GAAG,GAAG,SAAS,eAAeA,KAAE,KAAK,SAAS,CAAC,GAAE,KAAK,SAAS,YAAU,KAAK,6BAA6B,CAAC,GAAE,KAAK,SAAS,kBAAgB,KAAK,iBAAgB,EAAE,oBAAkB,QAAM,EAAE,iBAAiB,QAAM,MAAK;AAAC,UAAI,IAAE,GAAG,SAAS,eAAe,EAAE,gBAAgB;AAAE,WAAK,cAAY,IAAI,GAAG,CAAC,GAAE,KAAK,YAAY,YAAU,KAAK,SAAS,WAAU,KAAK,YAAY,kBAAgB,KAAK,iBAAgB,KAAK,uBAAqB,EAAE;AAAA,IAAoB;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,MAAM,KAAK,GAAEA,KAAE;AAAC,QAAG,OAAO,KAAG,UAAS;AAAC,UAAI,IAAE,KAAK,GAAG,gBAAgB,CAAC;AAAE,UAAG,EAAE,WAAS;AAAE,cAAM,IAAI,MAAM,0CAA0C,IAAI;AAAE,UAAG,EAAE,SAAO;AAAE,cAAM,IAAI,MAAM,wBAAwB,EAAE,kCAAkC,IAAI;AAAE,UAAE,EAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,QAAM;AAAK,YAAM,IAAI,MAAM,6GAA6G;AAAE,WAAO,EAAE,KAAK,KAAK,SAAS;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,QAAG,KAAK,sBAAqB;AAAC,UAAIA,MAAE,aAAa,KAAG,CAAC,CAAC,IAAE,GAAE,IAAE,CAAC;AAAE,aAAOA,IAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,KAAK,qBAAqB,CAAC,CAAC,IAAE,CAAC,GAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,GAAE,KAAK,WAAW;AAAE,WAAO,KAAK,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,QAAI,IAAE,MAAM,KAAK,aAAa,GAAE,KAAK,WAAW;AAAE,WAAO,KAAK,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAIA;AAAE,QAAG,EAAE,aAAa,OAAK,CAAC,MAAM,QAAQ,CAAC,GAAE;AAAC,UAAI,KAAGA,MAAE,KAAK,eAAa,QAAMA,QAAI,SAAO,SAAOA,IAAE;AAAO,UAAG,KAAG;AAAK,iBAAQ,KAAK,GAAE;AAAC,cAAI,IAAE,EAAE,CAAC;AAAE,YAAE,cAAY,SAAO,EAAE,CAAC,IAAE,KAAK,0BAA0B,EAAE,UAAU;AAAA,QAAE;AAAC,aAAO;AAAA,IAAC;AAAC,QAAE,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAE,QAAI,IAAE,OAAO,KAAK,KAAK,yBAAyB,EAAE;AAAO,QAAG,EAAE,SAAO,MAAI,KAAK,WAAW;AAAO,YAAM,IAAI,MAAM,oDAAoD,KAAK,WAAW,SAAO,gDAAgD,EAAE,gCAAgC;AAAE,QAAI,IAAE;AAAE,WAAO,KAAK,WAAW,OAAO,CAAC,GAAE,MAAI;AAAC,UAAI,GAAE,GAAE;AAAE,UAAI,KAAG,KAAG,KAAG,IAAE,KAAK,eAAa,QAAM,MAAI,SAAO,SAAO,EAAE,YAAU,QAAM,MAAI,SAAO,SAAO,EAAE,CAAC,OAAK,QAAM,MAAI,SAAO,SAAO,EAAE;AAAW,aAAO,KAAG,OAAK,EAAE,CAAC,IAAE,KAAK,0BAA0B,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,GAAG,GAAE;AAAA,IAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAE;AAAC,WAAO,IAAE,KAAG,KAAK,aAAY,MAAM,QAAQ,CAAC,IAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,0BAAyB;AAAC,WAAO,KAAK,eAAa,OAAK,CAAC,IAAE,KAAK,wBAAsB,OAAK,KAAK,YAAY,QAAQ,CAAC,GAAE,CAAC,CAAC,IAAE,KAAK,YAAY,QAAQ,CAAC,GAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,+BAA8B;AAAC,WAAO,KAAK,eAAa,OAAK,CAAC,IAAE,KAAK,wBAAsB,OAAK,KAAK,YAAY,aAAa,CAAC,GAAE,CAAC,CAAC,IAAE,KAAK,YAAY,aAAa,CAAC,GAAE,OAAO,KAAK,KAAK,qBAAqB,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAE;AAAC,QAAG,KAAK,4BAA0B,CAAC,GAAE,KAAK,sBAAqB;AAAC,UAAIA,MAAE,KAAK,qBAAqB,SAAQ,IAAE,OAAO,KAAKA,GAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,aAAK,0BAA0B,EAAE,UAAU,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,SAAK,6BAA2B,QAAM,KAAK,6BAA6B,KAAK,wBAAwB,CAAC,GAAE,IAAE,KAAK,gBAAgB,CAAC,GAAEA,MAAE,KAAK,iBAAiBA,GAAC;AAAE,QAAI,IAAE,KAAK,SAAS,QAAQ,GAAEA,GAAC;AAAE,WAAO,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAEA,KAAE;AAAC,SAAK,6BAA2B,QAAM,KAAK,6BAA6B,MAAM,KAAK,6BAA6B,CAAC,GAAE,IAAE,KAAK,gBAAgB,CAAC,GAAEA,MAAE,KAAK,iBAAiBA,GAAC;AAAE,QAAI,IAAE,MAAM,KAAK,SAAS,aAAa,GAAEA,GAAC;AAAE,WAAO,EAAE,SAAO,IAAE,IAAE,EAAE,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,SAAS,uBAAuB;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,SAAS,2BAA2B;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAE;AAAC,WAAO,OAAO,KAAK,CAAC,EAAE,OAAO,CAACA,KAAE,OAAKA,IAAE,CAAC,IAAE,CAAC,EAAE,CAAC,CAAC,GAAEA,MAAG,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,SAAK,SAAS,QAAQ,GAAE,KAAK,gBAAc,KAAK,YAAY,QAAQ,GAAE,KAAK,6BAA2B,GAAG,KAAK,yBAAyB,IAAG,KAAK,gBAAgB,QAAQ;AAAA,EAAC;AAAC;AAAE,eAAe,GAAG,GAAE,IAAE,CAAC,GAAEA,MAAE,IAAG;AAAC,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,wGAAwG;AAAE,OAAG,SAAO,IAAE,CAAC,IAAG,EAAE,aAAW,OAAO,KAAG,aAAW,IAAE,GAAG,CAAC;AAAG,MAAI,IAAE,IAAI,GAAG,GAAE,GAAEA,GAAC;AAAE,SAAO,MAAM,EAAE,KAAK,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,sHAAsH;AAAE,MAAI;AAAE,MAAG,aAAa,OAAM;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE;AAAE,QAAG,CAAC;AAAE,YAAM,IAAI,MAAM,kDAAkD;AAAE,QAAG,CAAC,KAAG,EAAE,aAAa;AAAa,YAAM,IAAI,MAAM,mEAAmE;AAAE,QAAG,EAAE,mBAAkB;AAAG,YAAM,IAAI,MAAM,uCAAuC;AAAE,QAAG,EAAE,qBAAoB;AAAG,YAAM,IAAI,MAAM,yCAAyC;AAAE,QAAI,IAAE,GAAG,eAAe,EAAE,eAAe,GAAE,IAAE,GAAG,6BAA6B,GAAE,GAAE,CAAC;AAAE,QAAE,GAAG,eAAe,CAAC;AAAA,EAAC,WAAS,UAAS;AAAE,QAAE;AAAA,WAAU,mBAAkB,KAAG,iBAAgB,KAAG,gBAAe;AAAE,QAAE,GAAG,eAAe,CAAC;AAAA;AAAO,UAAM,IAAI,MAAM,sBAAsB;AAAE,MAAIA,MAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,KAAK,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,SAAS,GAAG,MAAI,IAAE,IAAE,MAAK,GAAG,IAAI,KAAK;AAAI;AAAC,IAAI,KAAG;AAAQ,SAAS,EAAE,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,0DAA0D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG;AAAV,IAAoB,KAAG,cAAc,GAAE;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,UAAM,GAAE,KAAK,YAAU,IAAG,KAAK,WAAS,MAAG,KAAK,OAAK,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,SAAK,aAAW,KAAK,WAAS,OAAG,EAAE,EAAE,IAAI,SAAS,KAAG,EAAE,KAAK;AAAA;AAAA;AAAA,6BAG5v/C;AAAG,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,KAAK,IAAI,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI;AAAE,QAAGA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAA,IAAC;AAAM,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAE,WAAM,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,KAAK,IAAI,CAAC,IAAE,KAAK,KAAK,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,KAAK,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,KAAK,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,KAAK,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,KAAK,IAAI,GAAE,EAAC,QAAOA,KAAE,OAAM,GAAE,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,EAAC,OAAMA,KAAE,oBAAmB,EAAC,IAAE,KAAK,KAAK,IAAI,CAAC;AAAE,QAAGA,QAAI,aAAY;AAAC,UAAI,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM;AAAE,aAAO,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC;AAAC,WAAO,EAAE,mCAAmC,KAAK,KAAK,IAAI,CAAC,EAAE,QAAOA,GAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,EAAE,yBAAyB,KAAK,eAAeA,KAAE,GAAE,CAAC,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,KAAK,IAAI,CAAC,GAAE;AAAC,UAAG,KAAK,KAAK,IAAI,CAAC,EAAE,YAAW,CAACA,OAAG,KAAK,KAAK,IAAI,CAAC,EAAE,WAAS;AAAE,eAAM;AAAG,UAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,KAAK,IAAI,CAAC;AAAE,WAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAO,IAAE,GAAE,KAAK,YAAY,EAAE,KAAK,QAAO,IAAE,IAAG,KAAK,KAAK,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,8BAA8B,GAAE;AAAC,SAAK,YAAY,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,EAAE,IAAI;AAAE,WAAO,EAAE,GAAE,EAAC,UAAS,EAAE,IAAI,IAAEA,IAAC;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,MAAG,SAAQ,CAAC,oHAAoH,EAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAE;AAAC,MAAE,CAAC,CAAC,GAAE,OAAO;AAAE,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,WAAO,GAAG,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,UAAS;AAAC,WAAO,MAAM,QAAQ;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,oBAAmB,MAAI,IAAG,gBAAe,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,YAAW,MAAI,IAAG,WAAU,MAAI,IAAG,SAAQ,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,WAAU,MAAI,IAAG,cAAa,MAAI,IAAG,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,UAAS,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,SAAQ,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,SAAQ,MAAI,IAAG,cAAa,MAAI,IAAG,UAAS,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,IAAG,0BAAyB,MAAI,IAAG,WAAU,MAAI,IAAG,WAAU,MAAI,IAAG,aAAY,MAAI,IAAG,aAAY,MAAI,IAAG,eAAc,MAAI,IAAG,WAAU,MAAI,IAAG,yBAAwB,MAAI,IAAG,mBAAkB,MAAI,IAAG,4BAA2B,MAAI,IAAG,UAAS,MAAI,IAAG,uBAAsB,MAAI,IAAG,wBAAuB,MAAI,IAAG,kBAAiB,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,IAAG,4BAA2B,MAAI,IAAG,SAAQ,MAAI,IAAG,UAAS,MAAI,IAAG,UAAS,MAAI,IAAG,eAAc,MAAI,IAAG,YAAW,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,EAAE,MAAM;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA;AAAE,MAAEA,GAAC,IAAE,KAAK,IAAI,EAAEA,GAAC,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,EAAE,QAAOA,MAAE,EAAE;AAAQ,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAO,IAAE,GAAG,CAAC,GAAEA,IAAE,WAAW,GAAE,EAAE,OAAM,EAAE,KAAK;AAAC;AAAjL,IAAmL,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,eAAeA,GAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC;AAAE,QAAG,EAAE,SAAO,EAAE,WAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,CAAC,IAAE,EAAE,EAAE,IAAE,EAAE,MAAM,GAAE,EAAE,IAAE,EAAE,MAAM,CAAC;AAAA;AAAO,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAA,MAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAKA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC,GAAE,MAAKA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,WAAU;AAAC,MAAGA,QAAI,aAAY;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,GAAE,GAAE,SAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAEA,GAAC;AAAE,SAAO,EAAE,eAAe,GAAEA,KAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,SAAOA,IAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,MAAI,SAAQ;AAAC,QAAI,IAAE,WAAW,KAAK,CAAC;AAAE,WAAM,CAAC,GAAE,SAAQ,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI,QAAO;AAAC,QAAI,IAAE,EAAE,aAAa,CAAC,CAAC,GAAEA,GAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC,EAAE,GAAE,CAAC,GAAE,GAAE,GAAE,MAAM;AAAE,WAAM,CAAC,GAAE,QAAO,CAAC;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiCA,UAAQ,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAGA,KAAE,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAOA,OAAG,OAAK,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,MAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,KAAG,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,IAAE,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAG,EAAE,UAAQ,eAAa,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,YAAW,EAAC,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,YAAW,EAAC,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAEA,IAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAA,IAAC,OAAK;AAAC,UAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,KAAG,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,aAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAEA,IAAE,QAAO,IAAE,EAAE,eAAeA,GAAC;AAAE,QAAG,EAAE,SAAO,EAAE,WAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,IAAE,EAAE,QAAO,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,MAAK,EAAE,CAAC,IAAE,EAAE;AAAA,MAAI;AAAA;AAAM,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,CAAC;AAAE,UAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,CAAC;AAAE,YAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,UAAE,CAAC,IAAE,EAAE,MAAK,EAAE,CAAC,IAAE,EAAE;AAAA,MAAI;AAAC,WAAM,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,KAAE,MAAK,IAAE,EAAC,EAAE;AAA5D,IAA8D,KAAG,GAAG,IAAG,IAAG,EAAE;AAA5E,IAA8E,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,SAAG,MAAI,IAAE,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG;AAAA,EAAE;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,CAAC,GAAEA,GAAC,GAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAI,GAAE,CAAC;AAAE,UAAG,IAAE;AAAE,cAAM,IAAI,MAAM,+BAA+B;AAAE,WAAGA,QAAI,IAAE,EAAE,IAAI,GAAE,GAAE,CAAC,IAAE,EAAE,OAAK,IAAE,EAAE,IAAI,EAAE,IAAI,GAAE,CAAC,IAAE,EAAE,IAAI,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,IAAI,EAAE,IAAI,GAAE,CAAC,IAAE,GAAE,GAAE,CAAC;AAAA,IAAE;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,IAAG,EAAE;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,GAAEA,KAAE,MAAI;AAAC,QAAI,IAAE,EAAE,kBAAkBA,KAAE,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,GAAE,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE;AAAE,MAAE,GAAE,CAAC;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO;AAAE,QAAG,EAAE,UAAQ,UAAS;AAAC,UAAG,CAAC,MAAM,QAAQ,CAAC;AAAE,cAAM,IAAI,MAAM,oDAAoD;AAAE,UAAE,EAAE,uBAAuB,CAAC;AAAA,IAAC;AAAM,UAAE;AAAE,QAAI,IAAEA,OAAG,EAAE,OAAM,IAAE,EAAE,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,EAAE;AAAtC,IAAwC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkBA,KAAE,EAAE,cAAc,CAAC,CAAC;AAAE,MAAG,KAAGA,QAAI,UAAS;AAAC,QAAI,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAE,EAAE,cAAc,EAAE,KAAK;AAAE,QAAE,IAAI,EAAE,MAAK,CAAC,GAAE,KAAG;AAAA,IAAC,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,UAAI,IAAEA,QAAI,WAAS,EAAE,uBAAuB,EAAE,IAAI,IAAE,EAAE,MAAK,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,EAAE,CAAC,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,EAAE;AAAE,YAAE,IAAE,CAAC,IAAE,EAAE,GAAG;AAAA,MAAC;AAAC,WAAG,EAAE,MAAM,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,SAAS;AAA/C,IAAiD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,EAAE;AAAvC,IAAyC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,EAAE;AAAvC,IAAyC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,MAAM,IAAE,CAAC,CAAC;AAAhC,IAAkC,KAAG,GAAG,IAAG,IAAG,MAAK,OAAO;AAA1D,IAA4D,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAE,CAAC,GAAEA,GAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,WAAG,IAAE,EAAE,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG,IAAE;AAAE,YAAM,IAAI,MAAM,oBAAoB,yBAAyB,GAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,OAAO,IAAE,IAAE,CAAC,IAAE,EAAE,IAAI,GAAG,EAAE,WAAW,IAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,OAAO,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,CAAC;AAAE,SAAG,KAAG,IAAE,EAAE,OAAO,WAAS,EAAE,OAAO,CAAC,IAAE,EAAE,OAAO,CAAC;AAAA,EAAE;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAjD,IAAmD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,IAAE,IAAE,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAlD,IAAoD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAjD,IAAmD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,IAAE,IAAE,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAlD,IAAoD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,KAAG,IAAE,MAAIA,MAAE,IAAG,IAAE,EAAE,oBAAoBA,KAAE,SAAS;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAAxB,IAA0B,KAAG,GAAG,IAAG,EAAE;AAArC,IAAuC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,uBAAuB,GAAE,EAAE,cAAcA,GAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,OAAC,OAAO,MAAM,CAAC,KAAG,IAAE,OAAK,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,MAAE,IAAE,GAAE,MAAK,IAAE,IAAE,IAAEA,IAAC,EAAE;AAApE,IAAsE,KAAG,GAAG,IAAG,IAAG,EAAE;AAApF,IAAsF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,IAAGA,GAAC;AAAE,SAAO,GAAG,CAAC,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,MAAI,IAAE,IAAE,CAAC;AAA1B,IAA4B,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuBA,KAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,OAAO,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAGA,IAAE,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAM,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAG,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE;AAAE,SAAO,MAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,IAAG,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAG,IAAE,KAAG,KAAGA,KAAE;AAAC,UAAI,IAAE,EAAE,WAAW,GAAE,EAAE,QAAO,EAAE,eAAe,CAAC,CAAC,EAAE,KAAK,GAAG;AAAE,YAAM,IAAI,MAAM,WAAW,QAAQ,mBAAmBA,MAAI;AAAA,IAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA,KAAE;AAAC,QAAI,IAAE,EAAEA,GAAC,GAAE,IAAEA,QAAI,EAAE,SAAO,IAAE,IAAE,EAAEA,MAAE,CAAC,EAAE;AAAO,QAAG,EAAE,WAAS;AAAE,YAAM,IAAI,MAAM,gCAAgC;AAAE,QAAG,EAAE,CAAC,IAAE;AAAE,YAAM,IAAI,MAAM,oCAAoC;AAAE,QAAG,EAAE,EAAE,SAAO,CAAC,IAAE;AAAE,YAAM,IAAI,MAAM,0CAA0C;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAG,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,cAAM,IAAI,MAAM,iDAAiD;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,SAAO,IAAEA,IAAE,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,IAAI,EAAE,IAAI,MAAI,CAAC,CAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE,EAAE,GAAE;AAAC,SAAG,EAAE,CAAC;AAAE,QAAI,IAAE,EAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,QAAE,CAAC,EAAE,KAAK,IAAE,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,SAAO;AAAE,UAAG,KAAG,GAAE;AAAC,YAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,CAAC,EAAE,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC;AAAA,MAAC;AAAC,UAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,UAAI,MAAI,EAAE,KAAK,CAAC,GAAE,CAAC,CAAC,GAAE,KAAG,IAAE;AAAA,EAAE;AAAC,SAAM,EAAC,WAAU,GAAE,aAAY,GAAE,WAAU,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAO,EAAEA,KAAE;AAAC,QAAI,IAAE,EAAEA,GAAC,EAAE,QAAO,IAAE,EAAE,kBAAkB,SAAQ,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAEA,GAAC,EAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAM,GAAE,CAAC;AAAE,SAAKA,IAAE,SAAO;AAAG,IAAAA,IAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,IAAE,CAAC,KAAG,EAAE,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,KAAKA;AAAE,aAAQ,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE,GAAE;AAAC,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE;AAAA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,kBAAkBA,KAAE,EAAE,cAAc,CAAC,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAG,EAAE,CAAC,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,CAAC,IAAE;AAAE,MAAG,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,WAAS;AAAE,UAAM,IAAI,MAAM,6BAA6B;AAAE,MAAI,IAAE,EAAE,CAAC,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,WAAU,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAW,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAG,EAAE,SAAO;AAAE,UAAM,IAAI,MAAM,mCAAmC;AAAE,MAAI,IAAE,EAAE,WAAS,GAAE,IAAE,EAAE,WAAS,GAAE,IAAE,EAAE,WAAS,GAAE,IAAE,CAAC;AAAE,OAAG,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAG,EAAE,CAAC,MAAI,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,qDAAqD;AAAE,MAAI,IAAE,EAAE,WAAS,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,SAAQ,IAAE,CAAC;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,qBAAqB;AAAE,QAAI;AAAE,QAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE;AAAE,UAAE;AAAA,aAAU,IAAE,KAAK,KAAK,KAAK,KAAK,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE;AAAG,YAAM,IAAI,MAAM,yCAAyC,IAAI;AAAE,MAAE,IAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,GAAG,IAAE,GAAE,KAAG;AAAA,EAAC;AAAC,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE;AAAT,IAA0B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,aAAWA,KAAE,KAAK,SAAO,GAAE,KAAK,cAAY,GAAE,KAAK,cAAY,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB,GAAE,KAAK,qBAAmB,GAAE,KAAK,2BAAyB,GAAE,KAAK,oBAAkB,EAAE,2BAA2B,CAAC,GAAE,KAAK,aAAW,EAAE,cAAc,KAAK,iBAAiB;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAE;AAAC,WAAO,KAAK,kBAAkB,CAAC,MAAI,GAAG,iBAAe,KAAK,kBAAkB,IAAE,CAAC,IAAE,KAAK,kBAAkB,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAE;AAAC,WAAO,KAAK,kBAAkB,CAAC,MAAI,GAAG,iBAAe,KAAK,mBAAmB,IAAE,CAAC,IAAE,KAAK,mBAAmB,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,sBAAsB,IAAE,CAAC;AAAE,YAAO,KAAK,+BAA+B,IAAE,CAAC,GAAE;AAAA,MAAC,KAAK,GAAG;AAAa,eAAO,GAAG,sBAAsBA,GAAC;AAAA,MAAE,KAAK,GAAG;AAAW,eAAO,GAAG,oBAAoBA,GAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,gCAAgC,GAAG,KAAK,+BAA+B,IAAE,CAAC,CAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,OAAO,oBAAoB,GAAE;AAAC,QAAIA,MAAE,EAAE;AAAO,QAAGA,QAAI,KAAGA,QAAI;AAAE,aAAO;AAAE,QAAI,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,MAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,UAAE,MAAI,IAAE;AAAA,IAAE;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,OAAO,sBAAsB,GAAE;AAAC,QAAIA,MAAE,EAAE;AAAO,QAAGA,QAAI;AAAE,aAAO;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,YAAI,MAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,GAAE,IAAE;AAAA,IAAE;AAAC,WAAO,KAAK,IAAIA,MAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,IAAE,MAAG;AAAC,QAAGA,IAAE,WAAS,GAAE;AAAC,UAAG,EAAE,CAAC,MAAI;AAAG,eAAM,CAAC;AAAE,YAAM,IAAI,MAAM,gFAAgF;AAAA,IAAC;AAAC,WAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,QAAIA,MAAE,KAAK,aAAY,IAAE,KAAK;AAAkB,MAAE,0BAA0B,GAAEA,GAAC;AAAE,QAAI,IAAE,KAAK,sBAAsB,KAAK,OAAM,KAAK,UAAU,GAAE,IAAE,EAAE,kCAAkC,KAAK,YAAW,GAAEA,GAAC;AAAE,MAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE;AAAG,aAAQ,IAAE,GAAE,KAAG,KAAK,YAAW,EAAE;AAAE,QAAE,CAAC,IAAE,MAAI,EAAE,CAAC,IAAE,KAAK,YAAY,CAAC;AAAG,WAAO;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE,KAAGA;AAAE,QAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,KAAK,EAAE;AAAE,WAAO,EAAE,OAAO,EAAE,WAAS,GAAE,MAAI,yDAAyD,GAAE;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,YAAI,OAAK,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,CAAC,GAAE,KAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,EAAE;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,EAAE,WAAS,EAAE,IAAE,CAAC;AAAE,YAAM,IAAI,MAAM,yBAAyB;AAAE,WAAO;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,QAAG,MAAI;AAAE,aAAM,CAAC;AAAE,QAAI,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAGA,IAAE;AAAO,YAAM,IAAI,MAAM,yBAAyB,6BAA6BA,IAAE,QAAQ;AAAE,QAAI,IAAEA,IAAE,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,MAAI;AAAE,aAAG,MAAI,EAAE,GAAE,IAAE,IAAE,KAAG,IAAE,IAAE;AAAA,WAAQ;AAAC,YAAG,IAAE,GAAE,IAAE,GAAE,KAAGA,IAAE;AAAO,gBAAM,IAAI,MAAM,sBAAsB,4BAA4BA,IAAE,QAAQ;AAAE,YAAEA,IAAE,CAAC;AAAA,MAAC;AAAC,QAAE,KAAK,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,WAAS,EAAE;AAAO,YAAM,IAAI,MAAM,kBAAkB;AAAE,WAAO;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK,sBAAsB,CAAC,GAAE,IAAE,KAAK,+BAA+B,CAAC;AAAE,YAAO,GAAE;AAAA,MAAC,KAAK,GAAG;AAAa,eAAO,KAAK,+BAA+B,GAAEA,KAAE,GAAE,CAAC;AAAA,MAAE,KAAK,GAAG;AAAW,YAAG,EAAE,SAAO,IAAEA,IAAE;AAAO,gBAAM,IAAI,MAAM,mDAAmD,EAAE,SAAO,OAAOA,IAAE,QAAQ;AAAE,eAAO,KAAK,6BAA6B,GAAEA,KAAE,GAAE,CAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,+BAA+B,GAAG,CAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,wBAAuB;AAAC,QAAI,IAAE,KAAK,mBAAmB,CAAC;AAAE,QAAG,KAAK,kBAAkB,WAAS;AAAE,YAAM,IAAI,MAAM,+BAA+B;AAAE,QAAIA,MAAE,KAAK,kBAAkB,CAAC;AAAE,YAAOA,KAAE;AAAA,MAAC,KAAK,GAAG;AAAe,eAAO,EAAE,CAAC;AAAA,MAAE,KAAK,GAAG;AAAa,cAAM,IAAI,MAAM,gDAAgD;AAAA,MAAE,KAAK,GAAG;AAAW,eAAO,KAAK,yBAAyB,CAAC,EAAE,CAAC,IAAE;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,sBAAsB,GAAGA,GAAC,GAAG;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK,mBAAmB,CAAC,EAAE,UAAQ;AAAE,YAAM,IAAI,MAAM,sEAAsE;AAAE,QAAIA,MAAE,KAAK,sBAAsB,GAAE,IAAE,KAAK,oBAAoBA,GAAC,GAAE,IAAE,IAAI,MAAM,KAAK,aAAW,CAAC;AAAE,MAAE,EAAE,SAAO,CAAC,IAAE;AAAE,aAAQ,IAAE,EAAE,SAAO,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,KAAE,GAAE,IAAE,EAAE,kBAAkB,KAAK,aAAY,EAAE,cAAc,CAAC,CAAC;AAAE,QAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,GAAE;AAAC,UAAI,IAAE,KAAK,gCAAgCA,KAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,KAAG,KAAK,YAAW,EAAE;AAAE,YAAE,KAAK,qBAAqB,IAAE,GAAE,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,WAAK,UAAU,KAAK,YAAW,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,EAAE,WAAS;AAAE;AAAO,QAAI,IAAE,KAAK,QAAO,IAAE,GAAE,IAAE,EAAE,MAAM;AAAE,QAAE,EAAE,MAAM,IAAE,CAAC;AAAE,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,QAAO,IAAE,KAAK;AAAa,QAAG,EAAE,WAAS,KAAG,EAAE,WAAS,GAAE;AAAC,UAAI,IAAE,KAAK;AAAkB,SAAG,MAAI;AAAC,YAAI,IAAE,EAAE,GAAE,CAAC;AAAE,YAAE,GAAG,GAAE,CAAC,EAAE,SAAS;AAAA,MAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAEA,IAAE,CAAC,IAAE;AAAG,UAAG,MAAI,GAAE;AAAC,UAAE;AAAE;AAAA,MAAQ;AAAC,UAAG,IAAE,GAAE;AAAC,YAAI,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,KAAG,IAAE,KAAG;AAAE,WAAG,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC,UAAG,KAAG,GAAE;AAAC,YAAI,IAAE,EAAE;AAAO,YAAE,KAAK,MAAM,IAAE,CAAC;AAAA,MAAC;AAAC,UAAG,IAAE;AAAE,YAAG,KAAK,aAAa,WAAS;AAAE,YAAE,SAAS,IAAE,GAAE,IAAE,CAAC,EAAE,KAAK,KAAK,aAAa,CAAC,CAAC,GAAE,IAAE;AAAA;AAAO,iBAAK,IAAE,KAAG;AAAC,gBAAI,IAAE,EAAE,MAAM,IAAE,CAAC;AAAE,eAAG,GAAE,GAAE,CAAC,GAAE,EAAE;AAAA,UAAC;AAAC,UAAE,KAAG,IAAE,IAAE,GAAE,IAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,IAAE;AAAA,IAAE;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,MAAE,CAAC,IAAE,EAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC;AAAE,WAAQ,KAAK,GAAE;AAAC,QAAG,IAAE,GAAE;AAAC,UAAG,CAAC;AAAE,cAAM,IAAI,MAAM,aAAa,gBAAgB;AAAE,UAAG,IAAE;AAAG,cAAM,IAAI,MAAM,aAAa,iBAAiB;AAAE,UAAE;AAAA,IAAE;AAAC,IAAAA,IAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAO,IAAI,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,EAAE,QAAQ;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,MAAI,GAAE,IAAE,IAAE,KAAGA,MAAE,GAAE,IAAE,IAAE,KAAGA,MAAE;AAAE,MAAG,KAAG,KAAG;AAAE,WAAO,EAAE,oBAAoB,GAAE,CAAC;AAAE,MAAI,IAAE,KAAK,IAAI,KAAK,MAAM,IAAE,KAAGA,GAAC,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,MAAE,KAAGA,QAAI,MAAIA,MAAE,KAAI,EAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAEA;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,IAAE,KAAK,KAAK,CAAC,CAAC;AAA3B,IAA6B,KAAG,GAAG,IAAG,EAAE;AAAxC,IAA0C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE;AAAO,MAAG,MAAI;AAAE,WAAO,GAAGA,KAAE,EAAE,KAAK;AAAE,MAAI,IAAE,aAAa,KAAG,IAAE,GAAG,GAAE,EAAE,KAAK;AAAE,SAAO,KAAG,YAAU,OAAO,KAAG,WAAS,EAAE,OAAO,KAAK,CAAC,IAAE,OAAO,KAAG,aAAW,EAAE,OAAO,KAAK,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG,IAAE;AAAE,YAAM,IAAI,MAAM,oBAAoB,yBAAyBA,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,EAAE,OAAO,IAAE,IAAE,CAAC,KAAG,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE,OAAO,IAAE,IAAE,CAAC,IAAE,EAAE,SAAO,IAAE,EAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAG,IAAE,KAAK,IAAI,CAAC,CAAC,EAAE;AAA/B,IAAiC,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,KAAK,IAAI,CAAC,CAAC,EAAE;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,iBAAiB,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,cAAcA,GAAC,GAAE,IAAE,EAAE,eAAe,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,kBAAkB,GAAE,CAAC;AAAE,WAAO,MAAI,WAAS,EAAE,MAAM,GAAE,IAAE,CAAC,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAI,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAGA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,MAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO,MAAI,WAAS,EAAE,uBAAuB,EAAE,MAAM,IAAE,EAAE;AAAM;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,OAAO;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,KAAG,kBAAkB,GAAE,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,MAAI;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,kBAAkBA,KAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,CAAC;AAAE,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,MAAG,IAAE,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,QAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,kDAAkD,GAAE,GAAE,CAAC,CAAC;AAAE,MAAE,EAAE,CAAC,GAAE,IAAE,KAAG,KAAG,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,MAAI;AAAE,MAAE,CAAC,IAAE,GAAE,IAAE,KAAG,CAAC,GAAE,EAAE,CAAC,IAAE,KAAK,IAAI,EAAE,CAAC,GAAE,CAAC,GAAE,IAAE,MAAI,EAAE,CAAC,KAAG,EAAE,IAAE,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE;AAAE,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,IAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,KAAG,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC,KAAG;AAAE,QAAE,CAAC;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE,EAAE,IAAE,IAAE,CAAC;AAAE,QAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE;AAAA,IAAC;AAAC,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAG,EAAE,CAAC,MAAI,GAAE;AAAC,YAAI,IAAE,MAAI,IAAE,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,IAAE,IAAE,CAAC,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,IAAE,IAAE,CAAC,IAAE;AAAE,UAAE,CAAC,IAAE;AAAA,MAAC;AAAC,WAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,MAAI,IAAG;AAAC,UAAG,MAAI;AAAG,cAAM,IAAI,MAAM,EAAE,yDAAyD,GAAE,CAAC,CAAC;AAAE,UAAE,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC,OAAK;AAAC,UAAG,IAAE;AAAE,cAAM,IAAI,MAAM,EAAE,8CAA8C,GAAE,CAAC,CAAC;AAAE,WAAG,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,MAAG,MAAI,IAAG;AAAC,QAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,qDAAqD,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC;AAAE,QAAG,IAAE,MAAI;AAAE,YAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,UAAM,IAAI,MAAM,EAAE,gDAAgD,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,MAAG,IAAE,GAAE;AAAC,MAAE,IAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,IAAE,GAAE;AAAC,MAAE,IAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,kBAAkBA,KAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,IAAE,IAAE,CAAC,IAAE,KAAK,MAAM,IAAE,EAAE,CAAC,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,SAAO,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,IAAE,CAAC,IAAE,IAAE;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkBA,KAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAO,IAAE,KAAG,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAO;AAAC,QAAI,IAAE;AAAE,QAAG,IAAE,GAAE;AAAC,UAAG,IAAE,EAAE,CAAC,GAAE,MAAI,GAAE;AAAC,UAAE;AAAE;AAAA,MAAQ;AAAC,UAAG,KAAG;AAAE,cAAM,IAAI,MAAM,EAAE,6DAA6D,CAAC;AAAA,IAAC;AAAC,QAAG,IAAE,KAAG,KAAG;AAAE,YAAM,IAAI,MAAM,EAAE,yDAAyD,GAAE,CAAC,CAAC;AAAE,QAAE,KAAG,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,UAAG,IAAE,KAAG,KAAG,EAAE,CAAC;AAAE,cAAM,IAAI,MAAM,EAAE,uDAAuD,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,IAAE,CAAC,KAAG,EAAE,IAAE,IAAE,CAAC;AAAA,IAAC;AAAC,QAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,IAAE,CAAC,KAAG,IAAE;AAAE,QAAG,IAAE,GAAE,EAAE,GAAE,IAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE;AAAA,EAAK;AAAC,SAAO,IAAE,KAAG,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,GAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAzB,IAA2B,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAAnD,IAAqD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,IAAE;AAAE,SAAOA,MAAEA;AAAC,CAAC;AAAvC,IAAyC,KAAG,GAAG,IAAG,EAAE;AAApD,IAAsD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI;AAAC,MAAG,EAAC,SAAQA,KAAE,eAAc,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,EAAE,QAAQ,IAAI,OAAOA,KAAE,IAAE,MAAI,EAAE,GAAE,CAAC;AAAC,CAAC;AAAxG,IAA0G,KAAG,GAAG,IAAG,EAAE;AAArH,IAAuH,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,MAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,YAAU,EAAE,aAAa,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,UAAQ,EAAE,aAAa,CAAC,GAAE,KAAK,WAAS,EAAE,aAAa,CAAC,GAAE,KAAK,WAAS,GAAE,KAAK,gBAAc;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,WAAO,KAAK,IAAI,KAAK,WAAS,IAAE,IAAE,IAAE,KAAK,UAAS,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,YAAYA,GAAC;AAAE,WAAO,KAAK,IAAI,GAAE,IAAE,IAAE,IAAEA,MAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,YAAY,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,KAAG,KAAG,IAAE,GAAG,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,OAAG,IAAE,IAAE,IAAE,IAAE,IAAG,IAAE;AAAE,WAAG,IAAE,KAAK,QAAQ;AAAO,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAG,EAAE,IAAE,CAAC,EAAE;AAAO,WAAG,IAAE,KAAK,SAAS;AAAO,UAAI,IAAE,IAAE,IAAE,IAAE;AAAE,WAAG,IAAE,KAAK,UAAU,QAAO,EAAE,IAAE,CAAC,IAAE,IAAI,WAAW,CAAC;AAAE,UAAI,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,OAAG,EAAE,QAAQ,OAAG,EAAE,GAAG,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,UAAE,KAAK,OAAO,GAAE,EAAE,KAAK,SAAS;AAAE,eAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,UAAE,EAAE,IAAE,CAAC,CAAC,GAAE,EAAE,KAAK,SAAS;AAAE,UAAG,IAAE,GAAE;AAAC,UAAE,EAAE,IAAE,IAAE,CAAC,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK,SAAS,GAAE,EAAE,KAAK,QAAQ;AAAA,MAAC,OAAK;AAAC,iBAAQ,IAAE,GAAE,IAAE,IAAE,GAAE,EAAE;AAAE,YAAE,KAAK,QAAQ,GAAE,EAAE,KAAK,SAAS;AAAE,UAAE,KAAK,QAAQ;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,QAAQ,GAAEA,KAAE;AAAC,QAAI,IAAE,EAAE,QAAO,IAAEA,IAAE;AAAO,QAAG,IAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC;AAAE,UAAG,MAAI;AAAE,cAAM,IAAI,MAAM,oCAAoC,GAAG;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAEA,IAAE,CAAC,KAAG;AAAE,YAAG,IAAE,KAAGA,IAAE,CAAC,KAAG,GAAE,CAAC;AAAE,gBAAM,IAAI,MAAM,uBAAuBA,IAAE,CAAC,kBAAkB,MAAM,IAAI;AAAE,YAAEA,IAAE,CAAC;AAAA,MAAC;AAAC,UAAG,MAAI;AAAE,cAAM,IAAI,MAAM,gDAAgD,UAAU,GAAG;AAAA,IAAC;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,SAAQ,CAAC;AAAE,QAAG,MAAI,KAAG,MAAI,GAAE;AAAC,UAAI,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,KAAG,GAAE,EAAE;AAAE,UAAE,CAAC,IAAE;AAAE,aAAM,CAAC,GAAE,CAAC;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAK,YAAY,QAAQ,OAAG;AAAC,aAAG,KAAK,aAAa,GAAE,CAAC;AAAA,MAAC,CAAC,GAAE,KAAK,iBAAe,IAAE,KAAG,MAAI,MAAI,IAAE,IAAG,EAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,MAAM,EAAE,CAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAG,KAAK,YAAY,QAAQ,OAAG;AAAC,YAAI,IAAEA,IAAE,IAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,IAAE,KAAK,aAAa,GAAE,CAAC;AAAE,aAAK,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG;AAAA,MAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,EAAE,CAAC,GAAE;AAAC,YAAI,IAAEA,IAAE,IAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,YAAG,MAAI;AAAE;AAAS,YAAI,IAAE,IAAE,IAAE,KAAK,UAAS,IAAE;AAAE,aAAK,aAAa,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,WAAM,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAO,IAAI,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC,EAAE,QAAQ,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,EAAE;AAAO;AAAO,MAAG,EAAE,WAAS,GAAE;AAAC,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,KAAK,EAAE,SAAS,GAAE,IAAE,CAAC,CAAC;AAAE;AAAA,EAAM;AAAC,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,WAAK,MAAI,MAAI;AAAC,UAAI,IAAE,EAAE,SAAS,GAAE,CAAC;AAAE,OAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,SAAS,IAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAA,IAAC;AAAC,KAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC;AAAE;AAAA,EAAM;AAAC,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,QAAG,MAAI,EAAE,UAAQ,EAAE,QAAQ,EAAE,CAAC,CAAC,MAAI,IAAG;AAAC,UAAI,IAAE,EAAE,SAAS,GAAE,CAAC;AAAE,OAAC,CAACA,OAAG,EAAE,WAAS,MAAI,EAAE,KAAK,CAAC,GAAE,IAAE,IAAE;AAAA,IAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE;AAAO,OAAG,EAAE,CAAC,GAAE,GAAEA,KAAE,CAAC;AAAE,QAAI,IAAE,EAAE,SAAO;AAAE,MAAE,CAAC,IAAE,GAAE,KAAG,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,kBAAkB,SAAQ,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,GAAE,EAAE,IAAE,IAAE,CAAC,IAAE,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE;AAAE,SAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,kBAAkB,SAAQ,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,cAAc,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAAE,mBAAmB;AAAE,SAAOA;AAAC;AAAC,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,CAAC,GAAE,GAAEA,KAAE,OAAK,EAAC,MAAK,IAAEA,KAAE,MAAK,IAAE,EAAC,EAAE;AAA5D,IAA8D,KAAG,GAAG,IAAG,IAAG,EAAE;AAA5E,IAA8E,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,EAAE,IAAI;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,GAAGA,KAAE,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,OAAO,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,IAAI;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,CAAC;AAAE,MAAE,OAAO,CAAC,IAAE,EAAE,OAAO,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,EAAE,QAAM,EAAE;AAAM,SAAOA,QAAI,IAAE,EAAE,QAAM,EAAE,QAAMA;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,MAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAC,SAAK,IAAEA,OAAG;AAAC,QAAG,IAAEA,MAAE,KAAI;AAAC,UAAI,IAAE,IAAEA,MAAE,GAAE,IAAE,IAAEA,MAAE,GAAE,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,MAAG,KAAK,IAAI,IAAE,IAAE,CAAC,GAAE,IAAE,MAAG,KAAK,KAAK,IAAE,KAAG,IAAE,KAAG,CAAC,IAAE,KAAK,KAAK,IAAE,IAAE,CAAC,GAAE,IAAE,KAAK,IAAIA,KAAE,KAAK,MAAM,IAAE,IAAE,IAAE,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,KAAG,IAAE,KAAG,IAAE,IAAE,CAAC,CAAC;AAAE,SAAG,GAAE,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAEA,KAAE,IAAE;AAAE,SAAI,EAAE,KAAK,GAAEA,KAAE,CAAC,GAAE,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE,KAAG,EAAE,KAAK,GAAEA,KAAE,CAAC,GAAE,IAAE,KAAG;AAAC,WAAI,EAAE,KAAK,GAAE,GAAE,CAAC,GAAE,KAAI,KAAI,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE;AAAG,YAAE,IAAE;AAAE,aAAK,GAAG,EAAE,CAAC,GAAE,CAAC,IAAE;AAAG,YAAE,IAAE;AAAA,IAAC;AAAC,OAAG,EAAEA,GAAC,GAAE,CAAC,MAAI,IAAE,EAAE,KAAK,GAAEA,KAAE,CAAC,KAAG,IAAE,IAAE,GAAE,EAAE,KAAK,GAAE,GAAE,CAAC,IAAG,KAAG,MAAIA,MAAE,IAAE,IAAG,KAAG,MAAI,IAAE,IAAE;AAAA,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,EAAE,SAAO,GAAE,CAAC,GAAE,IAAE,EAAE,uBAAuBA,KAAE,IAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,SAAQ,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAC,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,IAAE,EAAE,WAAS,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,CAAC,IAAG,KAAG,EAAE,KAAK,EAAE;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,SAAS,GAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,IAAE,EAAE,CAAC,EAAE;AAAA,EAAK;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,SAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAAC,GAAG,GAAEA,KAAE,CAAC,GAAE,GAAG,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,GAAEA,GAAC,EAAE,CAAC,GAAE,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,CAAC,KAAGA,IAAE,CAAC;AAAE,IAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,WAAQ,IAAE,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,MAAE,CAAC,KAAGA,IAAE,CAAC;AAAE,MAAI,IAAE,oBAAI,OAAI,IAAE,IAAI,WAAWA,IAAE,CAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,CAAC,GAAE,KAAI;AAAC,QAAI;AAAE,QAAG;AAAE,UAAE,EAAE,CAAC,EAAE,SAAS;AAAA,SAAM;AAAC,UAAI,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,iBAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,YAAE,KAAK,EAAE,IAAI,GAAE,GAAE,CAAC,CAAC;AAAE,UAAE,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,IAAI,CAAC;AAAE,QAAG,KAAG;AAAK,QAAE,CAAC,IAAE;AAAA,SAAM;AAAC,UAAI,IAAE,EAAE;AAAK,QAAE,IAAI,GAAE,CAAC,GAAE,EAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAE,IAAE,CAAC,IAAE,EAAE;AAAK,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,aAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE;AAAI,UAAE,IAAI,EAAE,IAAI,GAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,MAAM;AAAE,SAAO,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAC,cAAa,EAAE,QAAO,aAAY,GAAE,SAAQ,EAAC;AAAC;AAAC,IAAI,KAAG;AAAQ,GAAG,OAAM,MAAI,IAAI,MAAG,CAAC;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,IAAE,KAAK,IAAI,CAAC,IAAE,CAAC;AAApC,IAAsC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,uBAAuB,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,SAAS;AAAE,SAAOA,IAAE,eAAe,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,GAAE,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,KAAK,IAAI,GAAE,CAAC,GAAE,CAAC,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAGA,QAAI;AAAS,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAO,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAM,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAQ,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAQ,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAY,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAGA,QAAI;AAAU,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,QAAM,IAAI,MAAM,cAAcA,mDAAiD;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF,GAAEA,IAAE,OAAO,EAAE,MAAM;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM;AAAE,MAAG,EAAE,sBAAoB,MAAK;AAAC,QAAI,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB;AAAK,MAAE,QAAM,GAAE,EAAE,QAAM;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwB,oBAAoB,eAAe;AAAE,MAAI,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,IAAE,IAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,CAAC,EAAE,CAAC,GAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAG,IAAE,GAAE,KAAG,GAAG,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,KAAG,GAAG,QAAO,KAAGA,IAAE;AAAU,WAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,QAAI,KAAG,KAAG,GAAE,KAAG,KAAG;AAAE,aAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,UAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,eAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,YAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,IAAG;AAAC,cAAI,KAAG,KAAK,IAAI,KAAG,IAAG,CAAC;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG;AAAK,qBAAQ,KAAG,IAAG,KAAG,IAAG,MAAK;AAAC,kBAAI,KAAG;AAAE,uBAAQ,KAAG,IAAG,KAAG,IAAG,MAAK;AAAC,oBAAI,KAAG,EAAE,KAAG,IAAE,KAAG,IAAE,KAAG,CAAC,GAAE,KAAG,EAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAC,iBAAG,KAAG,MAAI,KAAG,IAAE,GAAG,KAAG;AAAA,YAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,GAAE,GAAG,OAAM,GAAG,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,GAAE,GAAE,GAAE,IAAE,CAAC;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,OAAM,EAAC,YAAW,GAAE,YAAW,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,IAAG,MAAI,IAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE;AAAG,WAAQ,KAAK;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,EAAE,KAAK,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,KAAG;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,KAAG;AAAA,IAAC;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,IAAE,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,2BAA2B,UAAS,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,OAAO,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,MAAI,IAAE,GAAE,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,IAAE,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,2BAA2B,UAAS,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,OAAO,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,UAAE,MAAI,IAAE,GAAE,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,MAAM,GAAE,CAAC,CAAC;AAAhC,IAAkC,KAAG,GAAG,IAAG,EAAE;AAA7C,IAA+C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,QAAM,OAAO,oBAAkB,OAAO,mBAAkB,IAAE,GAAG,EAAE,UAASA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,kBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC;AAAE,oBAAI,SAAO,KAAG,IAAE,IAAE,KAAG,MAAI,UAAQ,KAAG,IAAG;AAAA,YAAI;AAAC,gBAAG,MAAM,CAAC;AAAE;AAAA,UAAK;AAAC,cAAI,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,CAAC,IAAE,MAAI,QAAM,IAAE,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,GAAG,EAAE,UAAS,OAAO,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,GAAG,GAAEA,KAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,OAAO,mBAAkB,IAAE;AAAG,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,IAAE,IAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,IAAE,IAAE,GAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,kBAAE,MAAI,IAAE,GAAE,IAAE,IAAE,MAAI,IAAE,EAAE,WAAS,KAAG,EAAE,UAAQ,KAAG,EAAE,aAAW,KAAG,IAAE,EAAE,UAAQ,KAAG,EAAE,aAAW,IAAE,IAAE,IAAE,IAAE;AAAA,YAAE;AAAA,UAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,QAAM,OAAO,oBAAkB,OAAO,mBAAkB,IAAE,GAAG,EAAE,UAASA,GAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC,IAAE,EAAE,SAAS,CAAC,GAAE,IAAE,EAAE,SAAS,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,KAAG,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC,GAAE,KAAG,IAAE,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,EAAE,UAAS,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAE,GAAE,KAAG;AAAG,mBAAK,KAAG;AAAG,oBAAI;AAAE,gBAAI,KAAG,KAAK,IAAI,EAAE,SAAQ,IAAE,EAAE,GAAE,KAAG,KAAG,KAAG,GAAE,KAAG,GAAE,KAAG,GAAE,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,kBAAI,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,uBAAQ,KAAG,GAAE,KAAG,IAAG,MAAI,GAAE;AAAC,oBAAI,KAAG,KAAG,KAAG,EAAE,CAAC;AAAE,yBAAQ,KAAG,IAAG,KAAG,IAAG,MAAI,GAAE;AAAC,sBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,EAAE,KAAG,CAAC;AAAE,sBAAG,MAAI,SAAO,KAAG,KAAG,KAAG,KAAG,MAAI,UAAQ,MAAI,IAAG,OAAM,MAAM,EAAE;AAAE;AAAA,gBAAK;AAAC,oBAAG,MAAM,EAAE;AAAE;AAAA,cAAK;AAAC,kBAAG,MAAM,EAAE;AAAE;AAAA,YAAK;AAAC,gBAAI,KAAG,KAAG;AAAE,cAAE,EAAE,IAAE,MAAI,QAAM,KAAG,KAAK,IAAI,IAAG,CAAC,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,EAAE,UAAS,OAAO,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,eAAK,IAAE;AAAG,eAAG;AAAE,YAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAK,IAAE;AAAG,iBAAG;AAAE,cAAI,IAAE,KAAK,IAAI,EAAE,UAAS,IAAE,CAAC;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAK,IAAE;AAAG,mBAAG;AAAE,gBAAI,IAAE,KAAK,IAAI,EAAE,SAAQ,IAAE,CAAC,GAAE,IAAE,OAAO,mBAAkB,IAAE;AAAG,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,IAAE,IAAE;AAAE,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,IAAE,IAAE;AAAE,yBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,sBAAI,IAAE,IAAE,GAAE,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,wBAAI,MAAI,IAAE,IAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAA,gBAAE;AAAA,cAAC;AAAA,YAAC;AAAC,YAAAA,IAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAC,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,EAAE,UAAS,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,EAAE,eAAe,EAAE,KAAK,GAAE,GAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,eAAe;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAE,KAAG,IAAE,IAAE,IAAG,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,kBAAI,MAAI,IAAE,MAAI;AAAE,kBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAI,yBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,sBAAI,MAAI,IAAE,MAAI;AAAE,sBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,aAAW,KAAK,MAAM,EAAE,MAAI;AAAI,6BAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,0BAAI,MAAI,IAAE,MAAI;AAAE,0BAAG,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAG;AAAS,0BAAI,KAAG,EAAE,IAAI,GAAE,IAAG,IAAG,IAAG,CAAC;AAAE,4BAAI;AAAA,oBAAE;AAAA,gBAAC;AAAA,YAAC;AAAC,cAAE,IAAI,KAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,aAAW,KAAK,MAAM,CAAC,MAAI;AAAG,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,IAAE,KAAG,KAAG,EAAE,YAAU,KAAK,MAAM,CAAC,MAAI;AAAE;AAAS,oBAAI,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,qBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,IAAI,IAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,8EAA8E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,4EAA4E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,2EAA2E,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,WAAW;AAAE,MAAG,EAAC,iBAAgB,EAAC,IAAE;AAAE,OAAG,SAAO,IAAE;AAAM,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,SAAO,IAAI,aAAa,CAAC,CAAC,CAAC,GAAE,IAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,SAAO,IAAI,aAAa,CAAC,CAAC,CAAC,GAAE,IAAE,IAAI,aAAa,EAAE,MAAM,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,MAAE,CAAC,IAAE,EAAE,GAAG,KAAG,EAAE,CAAC,IAAE,EAAE,GAAG,KAAG,EAAE,GAAG,IAAE,KAAK,KAAK,EAAE,GAAG,IAAE,CAAC,GAAE,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE,IAAG,KAAG,MAAI,IAAE;AAAG,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,WAAW,KAAK,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE;AAAE,SAAO,IAAEA,IAAE,eAAaA,IAAE,eAAa,IAAEA,IAAE,eAAaA,IAAE,eAAa;AAAC,CAAC;AAAtG,IAAwG,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,EAAE,QAAOA,MAAE,EAAE,SAAQ,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,KAAK,MAAM,GAAE,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,WAAW,GAAE,EAAE,OAAM,SAAS;AAAC;AAA5U,IAA8U,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,mBAAmB,MAAK,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,CAAC,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,OAAM,EAAE,MAAK,EAAE;AAAE,MAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,KAAG,GAAE,KAAG,EAAE,WAAU,EAAE,IAAG;AAAC,UAAI,KAAG,IAAE,KAAG,GAAE,KAAG,KAAG,EAAE,eAAa;AAAE,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,KAAG;AAAE,YAAG,KAAG,KAAG,MAAI,EAAE;AAAS;AAAS,YAAI,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG;AAAE,iBAAQ,KAAG,GAAE,KAAG,EAAE,UAAS,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,KAAG,GAAE,KAAG,KAAG,EAAE,cAAY;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,gBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,KAAG,GAAE,KAAG;AAAG,qBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,kBAAI,KAAG,EAAE,KAAG,KAAG,CAAC;AAAE,uBAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE;AAAG,kBAAE,KAAG,KAAG,CAAC,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,oBAAI,EAAE;AAAA,YAAW;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,sBAAsB;AAAE,MAAI,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,KAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,KAAG,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,aAAY,EAAE,GAAE;AAAC,cAAI,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,kBAAI,IAAE,IAAE,IAAE,IAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG,IAAE;AAAE,oBAAE,KAAG,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,EAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,EAAE;AAAA,cAAC;AAAA,YAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,qBAAqB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE;AAAE,MAAE,EAAE;AAAW,MAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,MAAI,gBAAe,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,QAAQ,CAAC,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,QAAQ,CAAC,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC,GAAE,KAAG;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAG,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,IAAE,IAAG,KAAG,KAAG,KAAG,KAAG,KAAG,KAAG,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,EAAE,KAAG,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAA,YAAC;AAAA,UAAC;AAAC,cAAI,KAAG,IAAE,KAAG,KAAG,KAAG,KAAG,KAAG,KAAG;AAAG,YAAE,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,EAAC,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,eAAc,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,MAAK,IAAE,EAAE,KAAI,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,cAAY;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,YAAG,IAAE,KAAG,KAAG,EAAE;AAAQ;AAAS,YAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,cAAI,KAAG,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,eAAa;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAS;AAAS,gBAAI,KAAG,IAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,EAAE,CAAC;AAAE,qBAAQ,KAAG,GAAE,KAAG,EAAE,UAAS,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG,EAAE,aAAY,KAAG,KAAG,EAAE,cAAY;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG;AAAE,oBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,oBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,KAAG,EAAE,YAAW,KAAG;AAAG,yBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,sBAAI,KAAG,EAAE,KAAG,EAAE;AAAE,2BAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE;AAAG,sBAAE,KAAG,EAAE,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,wBAAI,EAAE;AAAA,gBAAW;AAAA,cAAC;AAAA,YAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,wBAAwB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ;AAAI,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,QAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG;AAAE,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,UAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG,IAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,MAAI,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,MAAI,CAAC,GAAE,KAAG,KAAG,IAAE;AAAG,iBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,IAAE;AAAG,mBAAQ,KAAG,GAAE,KAAG,EAAE,aAAY,EAAE,IAAG;AAAC,gBAAI,KAAG;AAAE,qBAAQ,KAAG,GAAE,KAAG,EAAE,WAAU,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,GAAE,KAAG,KAAG;AAAE,uBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,oBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,yBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,sBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,2BAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,wBAAI,MAAI,KAAG,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE;AAAG,0BAAI,EAAE,KAAG,EAAE,IAAE,EAAE,KAAG,EAAE;AAAA,kBAAC;AAAA,gBAAC;AAAA,cAAC;AAAA,YAAC;AAAC,cAAE,KAAG,EAAE,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,SAAQ,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,UAAS,IAAG,WAAU,IAAG,UAAS,IAAG,aAAY,IAAG,cAAa,IAAG,aAAY,GAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,QAAQ,OAAM,KAAG,IAAE,IAAE,EAAE,QAAQ,KAAI,KAAG,IAAE,IAAE,EAAE,QAAQ;AAAK,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,KAAI,IAAE,MAAI,EAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,KAAI,IAAE,MAAI,EAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,KAAI,IAAE,MAAI,EAAE,GAAE,KAAG;AAAE,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG;AAAG,uBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG;AAAG,yBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,sBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,2BAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,wBAAI,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,0BAAI,KAAG;AAAA,kBAAE;AAAA,gBAAC;AAAA,cAAC;AAAA,YAAC;AAAC,cAAE,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE,IAAE;AAAA,UAAE;AAAA,QAAC;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,SAAS,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,QAAG,KAAG;AAAE;AAAS,QAAI,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,KAAG,GAAE,IAAE,IAAE,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,UAAG,IAAE,KAAG,IAAE,IAAE,GAAE;AAAC,iBAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,gBAAI,IAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,cAAE,OAAO,CAAC,IAAE;AAAA,UAAC;AAAC;AAAA,MAAQ;AAAC,UAAG,MAAI,YAAW;AAAC,YAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,KAAK,CAAC,GAAE,IAAE,IAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,cAAI,KAAG,IAAE,IAAE,KAAG,IAAE,KAAG,KAAG,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,cAAG,KAAG,KAAG,KAAG,IAAE,GAAE;AAAC,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,kBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAE,OAAO,EAAE,IAAE;AAAA,YAAC;AAAC;AAAA,UAAQ;AAAC,cAAI,KAAG,KAAK,MAAM,EAAE,GAAE,KAAG,KAAK,KAAK,EAAE,GAAE,KAAG,KAAG;AAAG,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE;AAAE,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAI,KAAG,EAAE,EAAE,GAAE,KAAG,MAAI,KAAG,MAAI,IAAG,KAAG,MAAI,KAAG,MAAI;AAAG,iBAAG,KAAG,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,EAAE,OAAO,EAAE,IAAE,MAAI,KAAG,MAAI;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAM,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE,OAAI,IAAE,MAAI,IAAE;AAAG,cAAG,IAAE,KAAG,IAAE,IAAE,GAAE;AAAC,qBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,kBAAI,KAAG,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,gBAAE,OAAO,EAAE,IAAE;AAAA,YAAC;AAAC;AAAA,UAAQ;AAAC,cAAI,IAAE,KAAK,MAAM,CAAC,GAAE,KAAG,KAAK,MAAM,CAAC;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,KAAG,KAAG,IAAE,EAAE,CAAC,IAAE,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,KAAG,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,cAAE,OAAO,EAAE,IAAE,EAAE,EAAE;AAAA,UAAC;AAAA,QAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,EAAE,MAAM,MAAM,EAAE,CAAC;AAAE,MAAG,MAAI,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,OAAO,GAAE,IAAE,EAAE,mBAAmB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,UAAG,MAAI;AAAE,UAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,EAAE,MAAM,MAAM,EAAE,CAAC;AAAE,MAAG,MAAI,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,GAAG,EAAE,OAAM,OAAO,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,MAAI,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,GAAE,CAAC;AAAE,UAAG,MAAI;AAAE,UAAE,CAAC,IAAE,IAAE,IAAE,EAAE,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,EAAE,GAAE,IAAE,CAAC;AAAE,UAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC,WAAS,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,OAAO,MAAI,QAAO,MAAI,+DAA+D,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,KAAG;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,IAAE,KAAG,IAAE,KAAG,IAAE,IAAE;AAAI,YAAE,GAAG,IAAE,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,KAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,IAAE,IAAE,EAAE,eAAa;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,YAAG,IAAE,KAAG,KAAG,EAAE;AAAS;AAAS,YAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE,GAAE;AAAC,cAAI,KAAG,IAAE,IAAE,EAAE,QAAQ,CAAC,GAAE,KAAG,IAAE,EAAE,cAAY;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI,EAAE;AAAQ;AAAS,gBAAI,KAAG,IAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,EAAE,YAAW,KAAG,IAAG,KAAG;AAAG,qBAAQ,KAAG,GAAE,KAAG,EAAE,YAAW,EAAE,IAAG;AAAC,kBAAI,KAAG,EAAE,KAAG,EAAE;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,kBAAE,KAAG,EAAE,KAAG,KAAG,EAAE,KAAG,EAAE;AAAE,oBAAI,GAAE,MAAI;AAAA,YAAC;AAAA,UAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,qCAAqC;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,aAAY,SAAS,GAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,YAAW,EAAE,WAAS,IAAE,KAAG,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,IAAE,KAAG,CAAC,CAAC,GAAE,IAAE,KAAK,IAAI,EAAE,WAAU,EAAE,UAAQ,IAAE,KAAG,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,aAAY,EAAE,GAAE;AAAC,YAAI,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,IAAE,IAAE;AAAE,qBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,kBAAI,KAAG,IAAE,KAAG,IAAE;AAAE,mBAAG,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC,IAAE,EAAE,IAAI,GAAE,GAAE,IAAG,CAAC;AAAA,YAAC;AAAA,UAAC;AAAC,UAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,oCAAoC;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,SAAQ,SAAS,GAAE,IAAE,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,SAAQ,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,GAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,QAAQ,KAAI,KAAG,IAAE,IAAE,EAAE,QAAQ,MAAK,KAAG,IAAE;AAAE,WAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,aAAQ,KAAG,GAAE,KAAG,GAAE,EAAE;AAAG,eAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,YAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,CAAC,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,cAAI,KAAG,KAAG,IAAG,KAAG,KAAK,IAAI,GAAE,KAAK,KAAK,KAAG,EAAE,CAAC,GAAE,KAAG,KAAK,IAAI,IAAG,IAAE,MAAI,EAAE,GAAE,KAAG;AAAE,mBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,gBAAI,KAAG,KAAG,IAAE;AAAG,qBAAQ,KAAG,IAAG,KAAG,IAAG,EAAE,IAAG;AAAC,kBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,IAAE,KAAG,IAAE,KAAG,IAAE,IAAG,KAAG,KAAG,IAAE,IAAE,MAAI,KAAG,IAAE,IAAE,MAAI,IAAE;AAAG,uBAAQ,KAAG,GAAE,KAAG,IAAG,EAAE,IAAG;AAAC,oBAAI,KAAG,KAAG,KAAG,IAAG,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE;AAAE,sBAAI,KAAG;AAAA,cAAE;AAAA,YAAC;AAAA,UAAC;AAAC,YAAE,IAAE,KAAG,IAAE,KAAG,IAAE,KAAG,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,kBAAkB,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,KAAG,OAAO;AAAiB,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,MAAI,KAAG,KAAG;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,WAAW,CAAC,GAAE,IAAG,IAAG,CAAC,GAAE,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,WAAW,CAAC,IAAG,IAAG,CAAC,GAAE,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,EAAE,IAAE,EAAE,EAAE;AAAE,uBAAG,OAAK,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,cAAI,KAAG,EAAE,WAAW,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,GAAE,EAAE,eAAe,CAAC,CAAC;AAAE,YAAE,EAAE,IAAE;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC;AAAE,IAAE,OAAO,EAAE,SAAO,EAAE,QAAO,MAAI,YAAY,4CAA4C,EAAE,mBAAmB,EAAE,MAAM;AAAE,MAAI,IAAE,EAAE,cAAc,GAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,OAAO,kBAAiB,IAAE,GAAE,KAAG;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,MAAI,KAAG,KAAG;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC;AAAE,uBAAG,MAAI,IAAE,IAAG,IAAE,IAAG,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,CAAC,EAAE,EAAE,EAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAEA,KAAE,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,OAAM,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,EAAC,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,YAAW,GAAE,WAAU,GAAE,UAAS,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,GAAE,UAAS,EAAC,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC;AAAE,IAAE,OAAO,EAAE,SAAO,EAAE,QAAO,MAAI,YAAY,4CAA4C,EAAE,mBAAmB,EAAE,MAAM;AAAE,MAAI,IAAE,EAAE,cAAc,GAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,EAAE,KAAK;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE;AAAK,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,IAAE,OAAO,kBAAiB,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,MAAI,KAAG,KAAG;AAAE,uBAAQ,KAAG,GAAE,KAAG,GAAE,EAAE,IAAG;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,MAAI,KAAG,KAAG,GAAE;AAAC,sBAAI,KAAG,EAAE,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,IAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC;AAAE,uBAAG,MAAI,IAAE,IAAG,IAAE,IAAG,KAAG;AAAA,gBAAG;AAAA,cAAC;AAAA,UAAC;AAAC,YAAE,CAAC,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,KAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,EAAE,aAAa,GAAE,EAAE,KAAK,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI;AAAE,IAAE,UAAQ,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,QAAO,EAAC,CAAC,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO,GAAE,IAAE,GAAGA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,WAAG,EAAE,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,MAAI,IAAE,IAAI,aAAa,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,SAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,IAAE;AAAA,EAAE;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAE;AAAT,IAAe,KAAG,EAAE;AAApB,IAA2B,KAAG,EAAE;AAAhC,IAAuC,KAAG,EAAE;AAA5C,IAAmD,KAAG,EAAE;AAAxD,IAA+D,KAAG,EAAE;AAApE,IAA2E,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,KAAK,KAAK,CAAC,GAAEA,MAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAG,IAAE,KAAGA;AAAG,SAAO,KAAG,QAAM,KAAG,IAAE,MAAI,IAAE,MAAI,IAAE,MAAI,IAAE,MAAI,IAAE,KAAK,IAAI,CAACA,MAAEA,GAAC;AAAE,CAAC;AAAnM,IAAqM,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,IAAE,CAAC;AAApB,IAAsB,KAAG,GAAG,IAAG,EAAE;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,mBAAmB,MAAK,IAAE,EAAE,mBAAmB,MAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC,GAAE,IAAE,EAAE,uBAAuB,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,QAAE,IAAE,IAAE,CAAC,IAAE,EAAE,MAAK,EAAE,IAAE,IAAE,CAAC,IAAE,EAAE;AAAA,IAAI;AAAC,IAAAA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,mBAAmB,KAAK,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,mBAAmB,KAAK,MAAM,EAAE;AAAO,MAAG,GAAG,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC;AAAE,QAAG,GAAE;AAAC,UAAI,IAAEA,IAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,IAAEA,IAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,aAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,uBAAuB,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,UAAO,IAAE,IAAE,OAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAGA,QAAI;AAAE,WAAM,EAAC,MAAK,GAAE,MAAK,EAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAEA,MAAE,GAAE,IAAE,EAAE,qBAAqB,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,oBAAoB,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,UAAUA,KAAE,CAAC,GAAE,IAAE,CAAC,EAAE,KAAK,MAAM,GAAE,KAAG,EAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,KAAG,EAAE,eAAe,GAAE,WAAU,EAAE,IAAI,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,MAAK,IAAG,MAAK,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,IAAG,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,EAAC,OAAM,GAAE,GAAE,SAAQ,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,CAAC,IAAG,EAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,KAAG,GAAG,EAAC,QAAO,CAAC,IAAG,EAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,KAAG,EAAE,KAAK,IAAI,GAAG,MAAM,EAAE,QAAO,KAAG,EAAE,KAAK,IAAI,GAAG,MAAM,EAAE;AAAO,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAE,8BAA8B,EAAE,GAAE,EAAC,MAAK,IAAG,MAAK,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,SAAS,IAAE,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,CAAC;AAAE,WAAG,EAAE,OAAK,EAAE,OAAK,EAAE,OAAK,EAAE,MAAK,KAAG,EAAE,OAAK,EAAE,OAAK,EAAE,OAAK,EAAE;AAAA,IAAI;AAAC,IAAAA,QAAI,KAAG,GAAE,KAAG,IAAG,EAAE,mBAAmB,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,OAAGA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,IAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,cAAG,KAAG,KAAG,IAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAE,gBAAE,EAAE,CAAC;AAAA,UAAC;AAAC,YAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,EAAC,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAG,MAAI,UAAQ,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,UAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,IAAC;AAAM,UAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAG,MAAI,UAAQ,MAAI,WAAS,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,UAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,IAAC;AAAM,UAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,IAAAA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,EAAC,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE;AAAE,QAAE,GAAGA,KAAE,GAAE,GAAE,GAAE,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,UAAU;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,OAAG,SAAO,IAAE;AAAG,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,MAAGA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,OAAO,SAAS,CAAC,IAAE,IAAE,GAAE,MAAM;AAA7C,IAA+C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,MAAI,IAAE,IAAE,IAAE,GAAE,MAAM;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,OAAO,MAAM,CAAC,IAAE,IAAE,GAAE,MAAM;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,MAAM,CAAC,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,CAAC;AAArB,IAAuB,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAA9C,IAAgD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,IAAE,GAAE,MAAM;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAG,CAAC;AAArB,IAAuB,KAAG,GAAG,IAAG,IAAG,MAAK,MAAM;AAA9C,IAAgD,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,aAAa,CAAC;AAAE,WAAS,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,IAAE,GAAE,CAAC,GAAE,IAAE;AAAE,WAAK,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,WAAG,IAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,KAAK,IAAI,IAAE,IAAE,GAAE,CAAC,CAAC;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,IAAI,GAAE,IAAE,IAAE,CAAC,GAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG,KAAK,IAAI,EAAE,CAAC,GAAE,CAAC;AAAE,QAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE;AAAE,YAAI,MAAI,KAAG,KAAK,IAAI,GAAE,CAAC,CAAC,IAAG,KAAG,EAAE,CAAC,GAAE,EAAE,CAAC,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,OAAM,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,IAAI,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,IAAE;AAAA,EAAC;AAAC,IAAE,GAAE,KAAK,GAAE,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE;AAAE,SAAO,MAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,IAAG,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,EAAE,UAAS,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,EAAE,eAAe,EAAE,KAAK,GAAE,GAAE,KAAK;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,WAAU,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,eAAe;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,gBAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,qBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,kBAAI,MAAI,IAAE,KAAG;AAAE,kBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAI,yBAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,sBAAI,MAAI,IAAE,MAAI;AAAE,sBAAG,EAAE,KAAG,KAAG,MAAI,EAAE,aAAW,KAAK,MAAM,EAAE,MAAI;AAAI,6BAAQ,KAAG,GAAE,KAAG,GAAE,MAAI,GAAE;AAAC,0BAAI,MAAI,IAAE,MAAI;AAAE,0BAAG,KAAG,KAAG,MAAI,EAAE,YAAU,KAAK,MAAM,EAAE,MAAI;AAAG;AAAS,0BAAI,KAAG,IAAE,IAAE,IAAE,IAAE,EAAE,IAAI,GAAE,IAAG,IAAG,IAAG,CAAC,GAAE,KAAG,IAAE,IAAE,IAAE,KAAG,IAAE,IAAG,KAAG,OAAK,KAAG,IAAE;AAAE,0BAAG,OAAK;AAAE;AAAS,0BAAI,KAAG,EAAE,IAAI,GAAE,IAAG,IAAG,IAAG,CAAC;AAAE,2BAAG,KAAG;AAAA,oBAAE;AAAA,gBAAC;AAAA,YAAC;AAAC,cAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,UAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,UAAS,EAAE,OAAM,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,GAAG,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,WAAU,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,WAAU,EAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,YAAW,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,UAAS,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,SAAQ,EAAE,GAAE;AAAC,cAAI,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,mBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,gBAAI,KAAG,IAAE,KAAG;AAAE,gBAAG,EAAE,IAAE,KAAG,KAAG,EAAE,aAAW,KAAK,MAAM,CAAC,MAAI;AAAG,uBAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,oBAAI,KAAG,IAAE,KAAG;AAAE,oBAAG,IAAE,KAAG,KAAG,EAAE,YAAU,KAAK,MAAM,CAAC,MAAI;AAAE;AAAS,oBAAI,KAAG,IAAE,IAAE,IAAE,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,IAAE,IAAE,GAAE,KAAG,OAAK,KAAG,IAAE;AAAE,oBAAG,OAAK;AAAE;AAAS,oBAAI,KAAG,EAAE,IAAI,GAAE,GAAE,GAAE,CAAC;AAAE,qBAAG,KAAG;AAAA,cAAE;AAAA,UAAC;AAAC,YAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,QAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAEA,KAAE,GAAE,MAAG,CAAC;AAAE,SAAM,CAAC,EAAE,QAAO,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,qBAAoB,EAAC,IAAE,GAAE,IAAEA;AAAE,IAAE,GAAE,mBAAmB;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,GAAE,EAAE,UAAS,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,GAAE,EAAE,UAAS,EAAE,KAAK;AAAE,SAAM,CAAC,EAAC,QAAO,GAAE,OAAM,EAAE,UAAS,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,GAAE,OAAM,EAAE,UAAS,OAAM,QAAO,CAAC;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,EAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,OAAC,OAAO,MAAM,CAAC,KAAG,IAAE,OAAK,IAAE;AAAA,IAAE;AAAC,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,OAAG,QAAMA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,WAAW;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,MAAI,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,KAAG,IAAE,EAAE,CAAC,IAAE;AAAG,QAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAOA,IAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,IAAE;AAAE,SAAO,IAAE,KAAG,IAAE,KAAG,KAAG,KAAG,KAAG,IAAEA,OAAGA,MAAE,KAAG;AAAC,CAAC;AAAlE,IAAoE,KAAG,GAAG,IAAG,EAAE;AAA/E,IAAiF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE;AAAE,MAAG,MAAI,OAAK,IAAE,IAAE,IAAG,MAAI,IAAE;AAAE,UAAM,MAAM,4EAA4E,iBAAiB,GAAG;AAAE,MAAI,IAAE,EAAE,eAAe,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE;AAAE,IAAE,GAAE,aAAa;AAAE,MAAI,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,GAAE,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,CAAC,GAAE,OAAO;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,EAAE,SAAS,CAAC,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,EAAE;AAAO,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,YAAG,IAAE,EAAE,CAAC,GAAE;AAAC,YAAE,IAAE,CAAC,IAAE;AAAE;AAAA,QAAK;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE;AAAE,IAAE,GAAE,mBAAmB;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,iBAAgB,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE;AAAE,IAAE,GAAE,yBAAyB;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG;AAAwB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE;AAAE,IAAE,GAAE,4BAA4B;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,aAAa,IAAE,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,MAAE,CAAC,KAAG,KAAG,EAAE,CAAC,IAAE,MAAI,EAAE,IAAE,IAAE,EAAE,CAAC,CAAC,IAAE;AAAG,SAAOA,IAAE,eAAe,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,IAAE,GAAE,KAAK;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,CAAC;AAAE,QAAI,KAAG,EAAE,KAAK,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC,EAAE,IAAI,CAAC,GAAE,MAAI,IAAE,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,GAAE,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAOA,IAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,CAAC,GAAE,MAAI,KAAK,IAAI,GAAE,CAAC,CAAC;AAA9B,IAAgC,KAAG,GAAG,IAAG,EAAE;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,kBAAiB,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,OAAO,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,IAAE,GAAE,EAAC,mBAAkB,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,IAAI,OAAGA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,CAAC;AAAnB,IAAqB,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,EAAE,cAAc,CAAC,GAAE,GAAE,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI;AAAE,UAAE,IAAE,KAAG,IAAE,OAAI,MAAG,IAAE,IAAE;AAAE,UAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,KAAK,KAAK,CAAC,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI;AAAE,YAAE,IAAE,KAAG,IAAE,OAAI,MAAG,IAAE,IAAE;AAAE,YAAI,IAAE,KAAK,IAAI,GAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,KAAK,KAAK,CAAC,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,cAAI,KAAG,EAAE,IAAE,EAAE,GAAE,KAAG,EAAE,IAAE,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,EAAE,KAAG,EAAE,GAAE,KAAG,MAAI,KAAG,MAAI,GAAE,KAAG,MAAI,KAAG,MAAI,GAAE,KAAG,MAAI,KAAG,MAAI;AAAE,YAAE,GAAG,IAAE;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,oBAAoB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,KAAK,KAAK,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,KAAK,KAAK,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE,GAAE,KAAG,IAAE;AAAE,iBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,cAAI,KAAG,EAAE,GAAG;AAAE,YAAE,KAAG,EAAE,KAAG,KAAG,IAAG,EAAE,KAAG,EAAE,KAAG,KAAG,IAAG,EAAE,KAAG,EAAE,KAAG,KAAG,IAAG,EAAE,KAAG,EAAE,KAAG,KAAG;AAAA,QAAE;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,uBAAuB;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,KAAG,IAAE,OAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,IAAE,KAAK,MAAM,CAAC,CAAC;AAAE,YAAI,IAAE,KAAK,IAAI,GAAE,CAAC;AAAG,UAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,KAAG,IAAE,OAAI,IAAE,GAAE,IAAE,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,IAAE,KAAK,MAAM,CAAC,CAAC;AAAE,cAAI,IAAE,KAAK,IAAI,GAAE,CAAC;AAAG,YAAI,IAAE,IAAE,IAAE,EAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,EAAE,IAAE,CAAC;AAAE,YAAE,GAAG,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,CAAC,GAAE,2BAA2B;AAAE,MAAI,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,IAAI,aAAa,IAAE,IAAE,IAAE,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE;AAAE,mBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,gBAAI,KAAG,KAAG;AAAE,gBAAG,KAAG,KAAG,MAAI;AAAE;AAAS,gBAAI,KAAG,IAAE,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,EAAE,IAAE,KAAK,MAAM,EAAE,CAAC;AAAE,gBAAG,MAAI;AAAG,uBAAQ,KAAG,GAAE,KAAG,GAAE,MAAK;AAAC,oBAAI,KAAG,KAAG;AAAE,oBAAG,KAAG,KAAG,MAAI;AAAE;AAAS,oBAAI,KAAG,KAAG,KAAG,EAAE,CAAC,GAAE,KAAG,KAAG,GAAE,KAAG,KAAK,IAAI,IAAE,GAAE,IAAE,KAAK,MAAM,EAAE,IAAE,KAAK,MAAM,EAAE,CAAC;AAAE,sBAAI,OAAK,KAAG,EAAE,KAAG,CAAC;AAAA,cAAE;AAAA,UAAC;AAAC,YAAE,IAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,SAAS;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,WAAW,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,MAAK,KAAI;AAAC,QAAI,IAAE,EAAE,WAAW,CAAC,GAAE,IAAE,EAAE,MAAM;AAAE,MAAE,QAAQ,OAAG,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,IAAE,EAAE,CAAC,CAAC,GAAE,EAAE,IAAI,EAAE,IAAI,GAAG,CAAC,GAAE,GAAG,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,EAAE,KAAK,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC,GAAE,IAAE,KAAI,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,KAAK,IAAI,CAAC,GAAE,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,KAAG,IAAE;AAAG,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,cAAI,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,KAAG,KAAG,IAAE,KAAG,GAAE,KAAG,IAAE,KAAG,KAAG,IAAE,KAAG;AAAE,cAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,KAAK,MAAM,IAAE,CAAC;AAAE,cAAI,IAAE;AAAE,cAAG,OAAO,KAAG,aAAW,MAAI,IAAE,IAAE,IAAE,IAAE,EAAE,CAAC,IAAG,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,IAAE,GAAE;AAAC,gBAAI,IAAE,KAAG,IAAE,IAAG,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,IAAE;AAAE,gBAAE,EAAE,CAAC;AAAA,UAAC;AAAC,cAAI,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,CAAC,IAAE;AAAA,QAAC;AAAA,MAAC;AAAA,IAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC;AAAE,SAAO,IAAE,IAAE,MAAG,KAAK,MAAM,CAAC,IAAE,IAAE,IAAE,MAAG,KAAK,KAAK,CAAC,IAAE,IAAE,MAAI,IAAE,IAAE,IAAE;AAAC,CAAC;AAAnG,IAAqG,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,MAAG,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAOA,MAAE,KAAG,CAAC,GAAE,EAAE,CAAC,IAAE,IAAEA,MAAE,IAAE,IAAE,IAAE;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,IAAE,EAAE,QAAO,IAAE;AAAE,SAAKA,MAAE;AAAG,QAAE,KAAK,OAAOA,MAAE,KAAG,CAAC,GAAE,EAAE,CAAC,KAAG,IAAEA,MAAE,IAAE,IAAE,IAAE;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,SAAQA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,MAAM,IAAE,IAAG,IAAE,KAAG,CAAC,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,QAAE,IAAE,CAAC,IAAE,MAAI,SAAO,GAAG,GAAE,EAAE,IAAE,CAAC,CAAC,IAAE,GAAG,GAAE,EAAE,IAAE,CAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE;AAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,oBAAoB,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,MAAI,KAAG,IAAE,KAAG,EAAE,MAAM,WAAS,IAAE,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,QAAE,CAAC,MAAI,IAAE,EAAE,GAAG,IAAE,EAAE,CAAC,IAAE,EAAE,GAAG,IAAE,EAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAE;AAAT,IAAyB,KAAG,EAAE;AAA9B,IAAyC,KAAG,GAAG,IAAG,OAAG,KAAG,IAAE,KAAG,IAAE,MAAI,KAAK,IAAI,CAAC,IAAE,EAAE;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,IAAE,IAAE,KAAG,IAAE,IAAE,IAAE,CAAC;AAA9B,IAAgC,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6B,KAAG,KAAK,IAAI,EAAE,IAAE;AAA7C,IAA+C,KAAG,GAAG,IAAG,OAAG;AAAC,MAAI,IAAE,IAAE,CAAC,IAAGA,MAAE,IAAE,IAAG,IAAE,KAAK,IAAI,CAAC,GAAE;AAAE,SAAOA,MAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,KAAK,IAAI,IAAE,CAAC,GAAE;AAAC,CAAC;AAApI,IAAsI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,CAAC,CAAC,GAAE,gBAAgB;AAAE,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACr2uG,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,QAAO,IAAI,WAAW,EAAE,IAAI,OAAG,OAAO,CAAC,CAAC,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACnjB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,MAAM,KAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,MAAM,KAAKA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,YAC9mB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,YACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,IAAE;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACvhB,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI,EAAE,MAAM,CAAC;AAAE,UAAM,IAAI,MAAM,+CAA+C;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,OAAG,IAAEA,IAAE,WAAW,CAAC,GAAE;AAAE,UAAO,EAAE,OAAM;AAAA,IAAC,KAAI,QAAO;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,CAAC,CAACA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,WAAU;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,SAAQ;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAI,UAAS;AAAC,UAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,CAAC;AAAE,UAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC;AAAQ,YAAM,IAAI,MAAM,oBAAoB,EAAE,OAAO;AAAA,EAAC;AAAC,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,GAAEA,IAAC,IAAE,GAAE,IAAE;AAAE,IAAEA,KAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,KAAK,IAAIA,IAAE,MAAM,EAAE,QAAO,IAAE,IAAI,aAAa,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,CAAC,IAAE,IAAE;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAEA,IAAE,OAAMA,IAAE,KAAK,GAAE,OAAMA,IAAE,OAAM,OAAMA,IAAE,MAAK;AAAC,EAAC;AAAE,IAAI,KAAG,GAAG,IAAG,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE;AAAE,SAAO,MAAM,CAAC,IAAE,MAAI,IAAE,IAAE,IAAEA,IAAE;AAAK,CAAC;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE;AAAE,IAAE,GAAE,cAAc;AAAE,MAAG,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,OAAO,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAO,SAAM,CAACA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,IAAI,CAAC,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,OAAG,KAAK,KAAK,CAAC,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,OAAG,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAE,GAAGA,IAAE,WAAW,CAAC,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE;AAAE,IAAE,GAAE,MAAM;AAAE,MAAI,IAAEA,IAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAEA,KAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,uBAAuB,EAAE,OAAM,EAAE,cAAc,CAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE;AAAO,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,MAAM,CAAC,MAAI,IAAE,IAAE,EAAE,SAAS,IAAE,GAAE,IAAE,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE,EAAE;AAAE,iBAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,cAAI,GAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE;AAAE,cAAG,MAAI;AAAE;AAAS,cAAI,KAAG,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,GAAE,MAAI,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,GAAE,KAAG,GAAG,GAAE,GAAE,CAAC,GAAE,KAAG,GAAG,IAAG,GAAE,CAAC;AAAE,kBAAO,GAAE;AAAA,YAAC,KAAI;AAAU,kBAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,CAAC;AAAE;AAAA,YAAM,KAAI;AAAW,kBAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,CAAC;AAAE;AAAA,YAAM;AAAQ,oBAAM,IAAI,MAAM,+DAA+D,GAAG;AAAA,UAAC;AAAC,cAAI,KAAG,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,YAAE,EAAE,IAAE;AAAA,QAAC;AAAC,WAAO,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAM,EAAC,QAAO,EAAE,MAAM,GAAE,GAAE,EAAE,KAAK,GAAE,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAOA,KAAE;AAAA,IAAC,KAAI;AAAU,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAU,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAI;AAAA,IAAW;AAAQ,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAGA,MAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,MAAE,MAAIA,MAAE,IAAE,KAAK,MAAM,CAACA,MAAE,CAAC,IAAEA,MAAGA,MAAEA,MAAE,CAAC,IAAEA,MAAE,IAAE,CAACA,MAAE;AAAA,IAAC;AAAA,WAASA,MAAE,IAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,IAAE,KAAK,MAAMA,MAAE,CAAC,GAAEA,OAAG,MAAIA,MAAE,IAAEA,MAAE;AAAA,IAAE;AAAC,SAAO,EAAE,MAAM,GAAEA,KAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAGA,MAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,KAAG,KAAK,MAAM,CAACA,MAAE,CAAC,IAAE;AAAA,IAAE;AAAA,WAASA,MAAE,IAAE;AAAE,QAAG,KAAG;AAAE,MAAAA,MAAE;AAAA,SAAM;AAAC,UAAI,IAAE,IAAE;AAAE,MAAAA,OAAG,IAAE,KAAK,MAAMA,MAAE,CAAC;AAAA,IAAC;AAAC,SAAO,EAAE,MAAM,GAAEA,KAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,MAAM,GAAE,GAAE,IAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,SAAO,KAAG,KAAG,IAAE,KAAG,KAAG,KAAG,IAAEA,MAAE,EAAE,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,MAAM,CAAC;AAAE,SAAO,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,KAAG,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,UAAO,IAAE,KAAG,KAAG,IAAE,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA,KAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,GAAE,QAAQ;AAAE,MAAI,IAAE,EAAE,KAAK,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,cAAa,GAAE,aAAY,GAAE,SAAQ,EAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAE,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE;AAAE,IAAE,GAAE,oBAAoB;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,IAAE,EAAC,EAAC,CAAC;AAAE,QAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,OAAO,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,OAAM,YAAW,GAAE;AAAE,IAAI,KAAG,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAG,KAAG,CAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,kBAAiB,MAAI,IAAG,yBAAwB,MAAI,IAAG,+BAA8B,MAAI,IAAG,oCAAmC,MAAI,IAAG,iBAAgB,MAAI,IAAG,oCAAmC,MAAI,IAAG,cAAa,MAAI,IAAG,kBAAiB,MAAI,IAAG,sBAAqB,MAAI,IAAG,mBAAkB,MAAI,IAAG,eAAc,MAAI,IAAG,yBAAwB,MAAI,IAAG,0BAAyB,MAAI,IAAG,eAAc,MAAI,IAAG,oBAAmB,MAAI,IAAG,aAAY,MAAI,IAAG,qBAAoB,MAAI,IAAG,4BAA2B,MAAI,IAAG,wBAAuB,MAAI,IAAG,gBAAe,MAAI,IAAG,2BAA0B,MAAI,IAAG,kCAAiC,MAAI,IAAG,aAAY,MAAI,IAAG,cAAa,MAAI,IAAG,iCAAgC,MAAI,IAAG,mCAAkC,MAAI,IAAG,sBAAqB,MAAI,IAAG,wBAAuB,MAAI,IAAG,cAAa,MAAI,IAAG,oCAAmC,MAAI,IAAG,+BAA8B,MAAI,IAAG,eAAc,MAAI,IAAG,qBAAoB,MAAI,IAAG,uBAAsB,MAAI,IAAG,aAAY,MAAI,IAAG,2BAA0B,MAAI,IAAG,qBAAoB,MAAI,IAAG,0BAAyB,MAAI,IAAG,mCAAkC,MAAI,IAAG,mBAAkB,MAAI,IAAG,qBAAoB,MAAI,IAAG,iBAAgB,MAAI,IAAG,qBAAoB,MAAI,GAAE,CAAC;AAAE,IAAI,KAAG,CAAC;AAAR,IAAU,KAAG,EAAC,OAAM,OAAG,WAAU,OAAG,oBAAmB,OAAG,uBAAsB,OAAG,OAAM,OAAG,SAAQ,OAAG,8BAA6B,KAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,CAAC,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,KAAK,OAAK,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC;AAAE,QAAG,MAAI;AAAK,SAAG,CAAC,IAAE;AAAA;AAAO,aAAO,QAAQ,IAAI,2CAA0C,CAAC,GAAE;AAAA,EAAI;AAAC,MAAIA,MAAE,GAAG,CAAC;AAAE,SAAOA,OAAG,QAAMA,IAAE,cAAc,KAAG,OAAO,GAAG,CAAC,GAAE,GAAG,CAAC,MAAIA,IAAE,QAAQA,IAAE,UAAU,GAAEA,IAAE,QAAQA,IAAE,YAAY,GAAEA,IAAE,QAAQA,IAAE,KAAK,GAAEA,IAAE,QAAQA,IAAE,MAAM,GAAEA,IAAE,QAAQA,IAAE,mBAAmB,GAAEA,IAAE,QAAQA,IAAE,eAAe,GAAEA,IAAE,OAAOA,IAAE,YAAY,GAAEA,IAAE,OAAOA,IAAE,SAAS,GAAEA,IAAE,SAASA,IAAE,IAAI,GAAE,GAAG,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,CAAC,EAAE,EAAE,QAAQ,WAAW,KAAG,OAAO,mBAAiB,eAAa,MAAI;AAAE,WAAO,IAAI,gBAAgB,KAAI,GAAG;AAAE,MAAG,OAAO,YAAU;AAAY,WAAO,SAAS,cAAc,QAAQ;AAAE,QAAM,IAAI,MAAM,wCAAwC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,KAAG,MAAI;AAAE,UAAM,IAAI,MAAM,wDAAwD;AAAE,MAAIA,MAAE,KAAG,OAAK,GAAG,CAAC,IAAE;AAAE,SAAOA,IAAE,iBAAiB,oBAAmB,OAAG;AAAC,MAAE,eAAe,GAAE,OAAO,GAAG,CAAC;AAAA,EAAC,GAAE,KAAE,GAAE,EAAE,EAAE,QAAQ,wBAAwB,MAAI,GAAG,+BAA6B,QAAI,MAAI,IAAEA,IAAE,WAAW,SAAQ,EAAE,KAAGA,IAAE,WAAW,sBAAqB,EAAE,IAAEA,IAAE,WAAW,UAAS,EAAE;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,eAAa,CAAC,IAAE;AAAc,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,WAAS,CAAC,IAAE;AAAU,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,mBAAiB,CAAC,IAAE,oBAAmB,EAAE,EAAE,mBAAiB,CAAC,IAAE,oBAAmB,EAAE,EAAE,2BAAyB,CAAC,IAAE,4BAA2B,EAAE,EAAE,qBAAmB,CAAC,IAAE,sBAAqB,EAAE,EAAE,qBAAmB,CAAC,IAAE;AAAoB,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAEA,MAAE,KAAK,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,oBAAoBA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,KAAK,IAAI,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC,GAAE,KAAK,IAAI,GAAE,KAAK,KAAK,IAAE,CAAC,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,CAACA,KAAE,CAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,MAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,IAAEA,IAAE,MAAK,IAAEA,IAAE,MAAK,IAAEA,IAAE,SAAQ,IAAEA,IAAE,SAAQ,IAAEA,IAAE,KAAI,IAAE,GAAE,IAAE,GAAE,IAAEA,IAAE,YAAW,IAAEA,IAAE,OAAM,IAAEA,IAAE,UAAQ,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAE,EAAE,MAAK,IAAEA,IAAE,MAAK,IAAE,EAAE,MAAK,IAAE,GAAE,IAAE,GAAE,IAAE,KAAG,OAAK,EAAE,iBAAe,MAAK,IAAE,EAAE,OAAM,IAAE,EAAE,OAAM,EAAC,qBAAoB,GAAE,yBAAwB,GAAE,+BAA8B,GAAE,2BAA0B,GAAE,oBAAmB,GAAE,uBAAsB,GAAE,2BAA0B,GAAE,oBAAmB,GAAE,sBAAqB,GAAE,kBAAiB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAE,SAAO,EAAE,EAAE,QAAQ,OAAO,KAAG,GAAG,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,SAAS;AAAE,MAAG,MAAI,EAAE;AAAS,UAAM,IAAI,MAAM,kBAAgB,GAAG,GAAE,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG;AAAP,IAAe,KAAG;AAAM,SAAS,GAAG,GAAE;AAAC,SAAM,CAAC,EAAE,EAAE,EAAE,QAAQ,8BAA8B,KAAG,MAAI,KAAG,KAAG,KAAK,IAAI,CAAC,KAAG,KAAK,IAAI,CAAC,IAAE;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAS,aAAM;AAAA,IAAW,KAAK,EAAE;AAAa,aAAM;AAAA,IAAe,KAAK,EAAE;AAAc,aAAM;AAAA,IAAgB,KAAK,EAAE;AAAkB,aAAM;AAAA,IAAoB,KAAK,EAAE;AAA8B,aAAM;AAAA,IAAgC,KAAK,EAAE;AAAc,aAAM;AAAA,IAAgB,KAAK,EAAE;AAAmB,aAAM;AAAA,IAAqB;AAAQ,aAAM,sBAAsB;AAAA,EAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,aAAa,CAAC,GAAE,gBAAc,IAAE,kCAAkC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,aAAa,GAAE,sCAAsC;AAAE,MAAG,GAAG,GAAE,MAAI,EAAE,aAAaA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAcA,GAAC,CAAC,GAAE,EAAE,mBAAmBA,KAAE,EAAE,cAAc,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,iBAAiBA,GAAC,CAAC,GAAE,IAAI,MAAM,kCAAkC;AAAE,SAAOA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,eAAe,GAAE,wCAAwC;AAAE,MAAG,GAAG,GAAE,MAAI,EAAE,aAAaA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAcA,GAAC,CAAC,GAAE,EAAE,EAAE,IAAI,qBAAqB;AAAE,WAAOA;AAAE,MAAG,EAAE,mBAAmBA,KAAE,EAAE,cAAc,MAAI;AAAG,UAAM,GAAG,GAAE,EAAE,iBAAiBA,GAAC,CAAC,GAAE,IAAI,MAAM,oCAAoC;AAAE,SAAOA;AAAC;AAAC,IAAI,KAAG;AAA2B,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,KAAK,CAAC;AAAE,MAAGA,OAAG,MAAK;AAAC,YAAQ,IAAI,wCAAwC,GAAG,GAAE,QAAQ,IAAI,CAAC;AAAE;AAAA,EAAM;AAAC,MAAI,IAAE,CAACA,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM;AAAA,CACj5c,GAAE,IAAE,EAAE,OAAO,SAAS,EAAE,SAAO,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,UAAU,IAAE,GAAG,SAAS,GAAE,CAAC,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,KAAK,IAAI,EAAE,CAAC,EAAE,QAAO,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,UAAQ,IAAI,EAAE,KAAK;AAAA,CACjN,CAAC,GAAE,QAAQ,IAAI,EAAE,MAAM;AAAA,CACvB,EAAE,CAAC,CAAC,GAAE,QAAQ,IAAI,MAAM,EAAE,SAAS,EAAE,CAAC,GAAE,CAAC,KAAI,+DAA+D,GAAE,QAAQ,IAAI,EAAE,KAAK;AAAA,CACjI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,gCAAgC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,MAAI,EAAE,YAAY,CAAC,CAAC,GAAE,CAAC,EAAE,EAAE,IAAI,qBAAqB,KAAG,EAAE,oBAAoB,GAAE,EAAE,WAAW,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,IAAI,MAAM,6CAA6C;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,GAAG,GAAE,MAAI,EAAE,gBAAgB,CAAC,CAAC,GAAE,EAAE,oBAAoB,GAAE,EAAE,eAAe,MAAI;AAAG,UAAM,QAAQ,IAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,IAAI,MAAM,mCAAmC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,8BAA8B;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAaA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,GAAE,EAAE,WAAW,CAAC,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,8BAA8B;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqBA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqB,GAAE,EAAE,WAAW,CAAC,GAAEA;AAAC;AAAC,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,gCAAgC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,EAAE,UAAU,wBAAwB;AAAE,MAAG,KAAG,KAAG,KAAG,GAAE;AAAC,QAAI,IAAE,IAAI,KAAK;AAAK,UAAM,IAAI,MAAM,4BAA0B,IAAE,cAAc;AAAA,EAAC;AAAC,MAAG,IAAEA,OAAG,IAAEA,KAAE;AAAC,QAAI,IAAE,IAAI,KAAK,MAAK,IAAE,IAAIA,OAAKA;AAAK,UAAM,IAAI,MAAM,4BAA0B,IAAE,uDAAqD,IAAE,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,kBAAkB,GAAE,oCAAoC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,kBAAkB,GAAEA,GAAC;AAAE,SAAO,MAAI,KAAG,SAAI,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,oBAAoB,GAAE,GAAE,EAAE,OAAM,OAAG,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,wBAAwB,CAAC,CAAC,GAAE;AAAG;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAEA,GAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,WAASA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,GAAE,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,WAAS,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,mBAAmB,GAAEA,GAAC,GAAE,cAAYA,MAAE,2BAA2B;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,mBAAmB,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,KAAG,GAAE,MAAI,GAAG,GAAE,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,UAAUA,KAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,SAAS,GAAE,GAAE,EAAE,OAAO,OAAM,EAAE,OAAO,MAAM,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,QAAQ,GAAE,GAAE,EAAE,OAAO,OAAM,EAAE,OAAO,MAAM,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAYA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,MAAK,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW;AAAE,MAAG,MAAI,EAAE;AAAqB,UAAM,IAAI,MAAM,gCAA8B,GAAG,GAAE,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAkC,aAAM;AAAA,IAAoC,KAAK,EAAE;AAA0C,aAAM;AAAA,IAA4C,KAAK,EAAE;AAAkC,aAAM;AAAA,IAAoC,KAAK,EAAE;AAAwB,aAAM;AAAA,IAA0B;AAAQ,aAAM,iBAAiB;AAAA,EAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAMA,GAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,mCAAiC,GAAE,IAAE,IAAE,EAAE;AAAS,MAAG,IAAE,EAAE,YAAU,IAAEA,KAAE;AAAC,QAAI,IAAE,2BAA2BA;AAAK,UAAM,IAAI,MAAM,0BAA0B,IAAI;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,SAAO,EAAE,cAAc,EAAE,MAAM,GAAE,EAAE,SAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAE,WAAS;AAAE,UAAM,MAAM,sDAAsD;AAAE,SAAM,CAAC,EAAE,SAAO,IAAE,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,EAAE,EAAE,SAAO,CAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,WAAS,KAAG,EAAE,WAAS,KAAG,EAAE,CAAC,MAAI,MAAI,IAAE,CAAC,GAAG,CAAC,GAAE,GAAG,GAAG,CAAC,CAAC,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAIA,MAAE,EAAE,EAAE,UAAU,wBAAwB,GAAE,IAAE,EAAE,EAAE,UAAU,mCAAmC;AAAE,QAAI,IAAE,KAAG,EAAE,EAAE,QAAQ,0CAA0C,MAAI,IAAEA,MAAE,IAAG,MAAIA,MAAEA,MAAE,GAAE,IAAE,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,KAAG,EAAE,SAAO,IAAE,EAAE,kBAAkB,EAAE,CAAC,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,EAAE,WAAS,MAAI,IAAE,CAAC,GAAE,EAAE,CAAC,CAAC,KAAI,EAAE,WAAS,MAAI,IAAE,EAAE,aAAa,CAAC,EAAE;AAAU,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE;AAAK,IAAE,UAAQ,KAAG,KAAGA,MAAE,IAAE,CAAC,GAAE,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,KAAGA,MAAE,IAAE,CAAC,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,WAAS,KAAG,EAAE,CAAC,KAAGA,OAAG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAGA,QAAI,IAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAG,MAAI,IAAE,KAAG,QAAM,KAAK,IAAI,GAAG,CAAC,IAAE,KAAG,KAAK,IAAI,GAAG,CAAC,MAAI,IAAE,IAAE,MAAI,KAAK,IAAI,GAAG,CAAC,IAAE;AAAE,MAAG,KAAG,QAAM;AAAE,QAAG,GAAE;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAE,IAAE;AAAE,QAAE,WAAS,CAAC,GAAE,CAAC,IAAE,GAAG,CAAC,IAAG,IAAE,KAAG,IAAE,MAAI,IAAE,IAAG,IAAE,EAAE,oBAAoB,CAAC,EAAE,IAAI,OAAG,IAAE,CAAC;AAAA,IAAC;AAAM,UAAE,EAAE,oBAAoB,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,IAAE,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,EAAE,YAAY,GAAE,CAAC,KAAG,CAAC,EAAE,UAAQ,CAAC,EAAE,UAAQ,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAE,WAAM;AAAG,MAAG,EAAE,WAAS,EAAE,QAAO;AAAC,QAAIA,MAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,QAAGA,QAAI,KAAG,GAAGA,GAAC,KAAG,GAAG,CAAC,MAAI,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI;AAAG,aAAM;AAAA,EAAE;AAAC,SAAO,EAAE,CAAC,MAAI,EAAE,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC,KAAG,GAAG,EAAE,CAAC,CAAC;AAAC;AAAC,IAAI;AAAJ,IAAO;AAAG,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAG,EAAE,aAAa,EAAE,gBAAgB;AAAA,EAAC;AAAC,SAAO;AAAE;AAAC,SAAS,KAAI;AAAC,OAAG;AAAI;AAAC,SAAS,KAAI;AAAC,OAAG;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAG,EAAE,aAAa,EAAE,uBAAuB;AAAA,EAAC;AAAC,SAAO,KAAK,IAAI,IAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAO;AAAE,MAAI,GAAEA,MAAE,GAAG,CAAC;AAAE,SAAO,GAAGA,KAAE,iCAAiC,KAAG,MAAI,IAAE,IAAE,IAAE,GAAGA,KAAE,0BAA0B,IAAE,IAAE,IAAE,IAAE,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,aAAa,CAAC,KAAG;AAAI;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG;AAAC,QAAG,GAAG,CAAC,KAAG;AAAK,aAAM;AAAA,EAAE,SAAO,GAAN;AAAS,WAAO,QAAQ,IAAI,sCAAqC,CAAC,GAAE;AAAA,EAAE;AAAC,SAAM;AAAE;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,CAAC,GAAG,GAAE,mBAAmB;AAAE,aAAM;AAAA,EAAE,WAAS,CAAC,GAAG,GAAE,wBAAwB;AAAE,WAAM;AAAG,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAG,MAAI,IAAE,GAAG,CAAC;AAAE,MAAG,MAAI,GAAE;AAAC,QAAG,CAAC,GAAG,GAAE,mBAAmB,KAAG,CAAC,GAAG,GAAE,0BAA0B;AAAE,aAAM;AAAA,EAAE,OAAK;AAAC,QAAG,GAAG,GAAE,wBAAwB;AAAE,aAAO,GAAG,CAAC;AAAE,QAAI,IAAE;AAA8B,QAAG,GAAG,GAAE,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,aAAa,CAAC;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAC,SAAO,GAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,CAAC,GAAEA,MAAE,EAAE,cAAc;AAAE,IAAE,YAAY,EAAE,YAAWA,GAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,IAAE,WAAW,EAAE,YAAW,GAAE,EAAE,qBAAoB,GAAE,GAAE,GAAE,EAAE,oBAAmB,EAAE,kBAAiB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB;AAAE,IAAE,gBAAgB,EAAE,aAAY,CAAC,GAAE,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAWA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW,MAAI,EAAE;AAAqB,SAAO,EAAE,YAAY,EAAE,YAAW,IAAI,GAAE,EAAE,gBAAgB,EAAE,aAAY,IAAI,GAAE,EAAE,cAAcA,GAAC,GAAE,EAAE,kBAAkB,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc;AAAE,IAAE,YAAY,EAAE,YAAW,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,IAAE,WAAW,EAAE,YAAW,GAAEA,IAAE,yBAAwB,GAAE,GAAE,GAAEA,IAAE,oBAAmBA,IAAE,sBAAqB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB;AAAE,IAAE,gBAAgB,EAAE,aAAY,CAAC,GAAE,EAAE,qBAAqB,EAAE,aAAY,EAAE,mBAAkB,EAAE,YAAW,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,uBAAuB,EAAE,WAAW,MAAI,EAAE;AAAqB,SAAO,EAAE,YAAY,EAAE,YAAW,IAAI,GAAE,EAAE,gBAAgB,EAAE,aAAY,IAAI,GAAE,EAAE,cAAc,CAAC,GAAE,EAAE,kBAAkB,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,MAAI,IAAE,QAAG,GAAG,CAAC,EAAE,aAAW;AAAI;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,4DAA4D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,aAAY,MAAI,GAAG,UAAU,eAAe,IAAE,CAAC;AAAE,GAAG,aAAa,iBAAgB,MAAI,GAAG,CAAC,IAAE,IAAE,GAAG,CAAC,IAAE,IAAE,CAAC;AAAE,GAAG,aAAa,kCAAiC,MAAI,KAAE;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,IAAI,eAAe,MAAI,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,IAAE;AAAE,GAAG,aAAa,4BAA2B,MAAI,KAAE;AAAE,GAAG,aAAa,cAAa,MAAI,GAAG,QAAQ,WAAW,CAAC;AAAE,GAAG,aAAa,4BAA2B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,mBAAkB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,4BAA2B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,+BAA8B,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,uBAAsB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,qBAAoB,MAAI,GAAG,QAAQ,YAAY,CAAC;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gDAA+C,MAAI;AAAC,MAAI,IAAE,GAAG,UAAU,eAAe;AAAE,SAAO,MAAI,IAAE,IAAE,GAAG,CAAC;AAAC,CAAC;AAAE,GAAG,aAAa,iDAAgD,MAAI,GAAG,UAAU,8CAA8C,IAAE,KAAG,CAAC,GAAG,SAAS,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,QAAQ,0BAA0B,IAAE,QAAG,GAAG,QAAQ,8BAA8B,CAAC;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,2BAA0B,MAAI,GAAG,GAAG,UAAU,eAAe,CAAC,CAAC;AAAE,GAAG,aAAa,6BAA4B,MAAI,GAAG,QAAQ,8BAA8B,IAAE,IAAE,CAAC;AAAE,GAAG,aAAa,kCAAiC,MAAI,IAAG,OAAG;AAAC,MAAG,IAAE,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,8FAA8F,IAAI;AAAC,CAAC;AAAE,GAAG,aAAa,yBAAwB,MAAI,GAAG,SAAS,IAAE,IAAE,IAAG,OAAG;AAAC,MAAG,IAAE,KAAG,MAAI;AAAG,UAAM,IAAI,MAAM,2FAA2F,IAAI;AAAC,CAAC;AAAE,GAAG,aAAa,8BAA6B,MAAI,GAAG;AAAE,GAAG,aAAa,6BAA4B,MAAI,KAAE;AAAE,GAAG,aAAa,4CAA2C,MAAI,GAAG;AAAE,GAAG,aAAa,gCAA+B,MAAI,GAAG;AAAE,GAAG,aAAa,kBAAiB,MAAI,KAAE;AAAE,GAAG,aAAa,0BAAyB,MAAI,GAAG,QAAQ,SAAS,CAAC;AAAE,GAAG,aAAa,qCAAoC,MAAI,IAAE,CAAC;AAAE,GAAG,aAAa,4CAA2C,MAAI,KAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,KAAE;AAAE,SAAS,KAAI;AAAC,MAAI,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAE,SAAO,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,IAAE,mBAAkB,IAAE,MAAKA,MAAE,OAAM,IAAE,MAAK,IAAE,WAAU,IAAE,eAAc,IAAE,yBAAwB,IAAE,EAAE,EAAE,QAAQ,qBAAqB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAYxqU,IAAG,IAAE,IAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASR,IAAE,IAAG,IAAE,aAAYA,MAAE,WAAU,IAAE,WAAU,IAAE,aAAY,IAAE,gBAAe,IAAE,IAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAQnF,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OASF,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAQD,EAAC,SAAQ,GAAE,WAAU,GAAE,WAAUA,KAAE,WAAU,GAAE,WAAU,GAAE,QAAO,GAAE,cAAa,GAAE,kBAAiB,GAAE,kBAAiB,GAAE,aAAY,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,SAAO,KAAI,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,OAAO,MAAI,YAAY,EAAE,CAAC,OAAO;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,yBAAuB,MAAK,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,uBAAuB,OAAK,YAAY,EAAE,CAAC,uBAAuB;AAAK,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,QAAO,IAAE,EAAE,IAAI,OAAG,GAAG,KAAK,IAAI,GAAE,IAAE,IAAI,MAAMA,MAAE,CAAC;AAAE,IAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,KAAG,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,IAAI,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAK,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,SAAQ;AAAC,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,KAAI,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,OAAOA,SAAO,EAAE,CAAC,OAAO,EAAE,CAAC,MAAI,YAAY,EAAE,CAAC,OAAO,EAAE,CAAC;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,eAAe,CAAC,EAAE,IAAI,CAAAA,QAAGA,IAAE,SAAS,CAAC;AAAE,SAAM;AAAA;AAAA,wBAE9iC,EAAE,CAAC,kBAAkB,EAAE,CAAC;AAAA;AAAA;AAE/C;AAAC,SAAS,KAAI;AAAC,SAAM;AAAA;AAAA;AAAA;AAAA;AAIrB;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAuCP,IAAG,EAAC,kBAAiB,GAAE,IAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC;AAAE,MAAG,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,EAAE,cAAc,EAAE,UAAU,YAAY;AAAE,QAAG,EAAE,UAAU,YAAU,EAAE,KAAK,iBAAiB,EAAE,OAAO,IAAE,IAAE,IAAI,OAAK,KAAK,KAAG,EAAE,KAAK,qBAAqB,EAAE,OAAO,GAAE,EAAE,KAAK,qBAAqB,EAAE,OAAO,IAAGA,IAAE,qBAAoB;AAAC,UAAG,EAAC,cAAa,EAAC,IAAE,GAAGA,IAAE,cAAa,EAAE,UAAU,cAAa,EAAE,UAAU,QAAQ;AAAE,cAAO,EAAE,QAAO;AAAA,QAAC,KAAK;AAAE,YAAE,KAAK,eAAe,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,KAAK,iBAAiB,EAAE,YAAY;AAAE;AAAA,QAAM;AAAQ;AAAA,MAAK;AAAC,QAAE,KAAK,iBAAiB,EAAE,eAAe;AAAA,IAAC;AAAA,EAAC,CAAC,GAAEA,IAAE,qBAAoB;AAAC,YAAO,EAAE,aAAa,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,KAAK,uBAAuB;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,8BAA8B;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,gCAAgC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,KAAK,yBAAyB,GAAE,EAAE,KAAK,gCAAgC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAC,MAAE,KAAK,4BAA4B;AAAA,EAAC;AAAC,EAAAA,IAAE,kBAAgBA,IAAE,eAAe,QAAQ,OAAG;AAAC,MAAE,KAAK,WAAW,EAAE,QAAQ,EAAE,OAAO,EAAE,aAAW,IAAI,EAAE,gBAAc,KAAK;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,KAAK;AAAA,CACxsC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,GAAE,GAAEA,IAAE,cAAaA,IAAE,mBAAmB,CAAC,EAAE,KAAK;AAAA,CAChE,GAAE,IAAE,EAAE,UAAS,IAAE,GAAG,GAAE,IAAE,GAAG,CAAC,GAAE,GAAE,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,EAAE,YAAU,IAAE,GAAG,EAAE,cAAa,GAAEA,IAAE,mBAAmB,GAAE,IAAE,GAAG,CAAC,MAAI,IAAE,GAAG,EAAE,cAAa,GAAEA,IAAE,mBAAmB,GAAE,IAAE,GAAG,CAAC,IAAGA,IAAE,iBAAe,KAAG,KAAI,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAEA,IAAE,QAAQ,EAAE,KAAK;AAAA,CAChO;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAIA,MAAE,EAAE,UAAU;AAAa,UAAOA,IAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,GAAGA,IAAE,8CAA8C;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,EAAE,UAAU,aAAa,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE;AAAQ,aAAO,GAAG,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,GAAE;AAAC,MAAI,IAAE;AAAG,EAAAA,MAAE,KAAG,GAAG,GAAE,CAAC,IAAE,KAAG,GAAG,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,UAAU,cAAa,IAAE,EAAE;AAAa,SAAO,EAAE,UAAQ,EAAE,WAASA,MAAE,KAAG,GAAG,GAAE,CAAC,IAAE,KAAG,GAAG,GAAE,CAAC,IAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE;AAAQ,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,aAAO,GAAG;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,GAAEA,GAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE,KAAK;AAAE,aAAO,GAAG,GAAE,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,GAAG,EAAE,+CAA+C;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,eAEniC,EAAE;AAAA;AAAA;AAEd;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,QAEjB,EAAE;AAAA;AAAA;AAEP;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM;AAAA;AAAA,QAEjB,EAAE;AAAA;AAAA;AAEP;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,GAAG,EAAE;AAAA;AAAA;AAAA;AAAA,MAIxB,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAuBF,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyBF;AAAA,MACA;AAAA,MACA;AAAA;AACH;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAYF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAZD,IAoBF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AApBD,IA6BF,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAWH,SAAS,KAAI;AAAC,SAAM;AAAA;AAAA;AAAA;AAAA;AAInB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAO,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAI/E;AAAA;AAAA,sCAEgC,EAAE,CAAC;AAAA;AAAA,QAEnC,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAIX;AAAA;AAAA,sCAEgC,EAAE,CAAC;AAAA;AAAA,QAEnCA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAOJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA;AAEjC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAInC;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,QAE/B,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAIX;AAAA;AAAA,kCAE4B,EAAE,CAAC;AAAA;AAAA,QAE/BA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAMJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,4BACpB,EAAE,CAAC;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAiB9B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,oCAG5D,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA,wBAEZ;AAAA,qBACH;AAAA;AAAA,6BAEQ;AAAA,4BACD;AAAA;AAAA;AAAA;AAAA;AAIzB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,MAK5B,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGtB,MAAI,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,oCAGE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,QAC5B;AAAA;AAAA;AAAA;AAGL;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAsB9B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,EAAE,SAAO,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,EAAE,SAAO,CAAC,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,IAAG,IAAE;AAAU,WAAQ,IAAE,GAAE,IAAE,EAAE,SAAO,GAAE;AAAI,SAAG,EAAE,EAAE,SAAO,IAAE,CAAC,GAAE,IAAE;AAAA,aACtK,eAAe;AAAA,kBACV,OAAO;AAAA,QACnB,GAAE,IAAE,IAAI,QAAM;AAAE,SAAM;AAAA,UAClB,EAAE;AAAA;AAAA,oCAEwB,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA;AAAA,QAE5B;AAAA;AAAA,wBAEgB;AAAA,qBACH;AAAA;AAAA,6BAEQ;AAAA,4BACD;AAAA;AAAA,mBAET,EAAE,UAAU;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAGA;AAAE,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,QAK1B,GAAG,CAAC,KAAI,KAAI,KAAI,IAAI,GAAE,CAAC;AAAA;AAAA;AAAA;AAG3B,MAAI,IAAE,GAAG,CAAC,KAAI,KAAI,KAAI,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,eAG1B,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA,QAC5B;AAAA;AAAA;AAAA;AAGL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,KAAI,KAAI,KAAI,MAAK,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA,kDAEb,EAAE,CAAC;AAAA,+BACtB,EAAE,CAAC;AAAA;AAAA,iCAED,EAAE,CAAC;AAAA;AAAA,QAE5BA;AAAA;AAAA;AAAA;AAAA;AAAA;AAKL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,GAAG,CAAC,KAAI,KAAI,KAAI,MAAK,MAAK,IAAI,GAAE,CAAC;AAAE,SAAM;AAAA;AAAA;AAAA,eAGrD,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACM,EAAE,CAAC;AAAA;AAAA,QAE5BA;AAAA;AAAA;AAAA;AAAA;AAAA;AAKL;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,MAAG,EAAE,YAAY,GAAE,CAAC;AAAE,WAAOA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA,QAK5F;AAAA;AAAA,8CAEwC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA;AAEpD,MAAI,IAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC;AAAE,SAAOA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAanC;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA,iCAEf,EAAE,CAAC;AAAA,6BACP;AAAA,4BACD;AAAA;AAAA;AAAA;AAAA;AAIzB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,EAAE,YAAY,GAAE,CAAC,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA,QAI7C;AAAA;AAAA,0CAEoC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA,QAEhD,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,QAGhC,EAAE,CAAC,MAAI,IAAEA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAOX;AAAA;AAAA;AAAA,sCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,mCACf,EAAE,CAAC;AAAA;AAAA;AAAA,QAGhCA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASJ;AAAA;AAAA;AAAA,oCAGgC,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,iCACf,EAAE,CAAC;AAAA,wBACZ,EAAE,CAAC;AAAA,4BACC,EAAE,CAAC;AAAA;AAAA;AAAA;AAG5B;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,SAAS;AAAG;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAKA,MAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG;AAAE,SAAM;AAAA,WACjHA;AAAA,eACI,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM,SAAS,eAAeA;AAAM,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU;AAAS,MAAG,MAAI,KAAG,MAAI;AAAE,WAAM;AAAA,cAClL;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,MAAG;AAAE,WAAM;AAAA,YACjB;AAAA,6BACiBA,mBAAiBA,mBAAiB;AAAA,6BAClCA;AAAA;AAAA;AAEzB,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,UAAU;AAAS,SAAM;AAAA,YAC5B;AAAA,6BACiB,MAAM,MAAM;AAAA,6BACZA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WAC7G;AAAA,gDACqCA,sCAAoCA;AAAA;AAAA;AAAA,eAGrE,EAAE,aAAaA;AAAA;AAAA;AAE1B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAM;AAAA,WAC3C;AAAA;AAAA,UAED,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,eACP,EAAE,aAAaA;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cAChG;AAAA,UACJ,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,MAAI;AAAE,WAAM;AAAA,cACvD;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAO,MAAI,IAAE,IAAE;AAAA,cACnB;AAAA,6CAC+B,qBAAqBA;AAAA,+BACnCA;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA,6CAC+B,eAAe;AAAA,+BAC7BA;AAAA;AAAA,QAEzB,MAAI,IAAE,IAAE;AAAA,cACA;AAAA,wCAC0B,qBAAqBA;AAAA,+BAC9BA;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA,wCAC0B,eAAe;AAAA,+BACxBA;AAAA;AAAA,QAEzB,IAAE;AAAA,YACI;AAAA,6BACiBA,mBAAiBA,2BAAyB;AAAA,6BAC1CA;AAAA;AAAA,MAEzB;AAAA,YACQ;AAAA,6BACiB,MAAM,cAAc;AAAA,6BACpBA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG;AAAE,MAAG,KAAG,QAAM,EAAE,YAAYA,KAAE,CAAC;AAAE,WAAO,IAAE;AAAA,aACjL;AAAA,qDACwC,iBAAiB;AAAA;AAAA,iBAErD,EAAE,aAAa;AAAA;AAAA,QAE1B;AAAA,aACO;AAAA,qDACwC,QAAQ;AAAA;AAAA,iBAE5C,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAG;AAAE,WAAM;AAAA,WACN;AAAA,gDACqC,oCAAoC;AAAA,0CAC1C;AAAA;AAAA,eAE3B,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA,WAC/D;AAAA,iCACsB,MAAM,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA,eACpC,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU;AAAS,MAAG,KAAG,QAAM,EAAE,YAAYA,KAAE,CAAC,GAAE;AAAC,QAAG;AAAE,aAAM;AAAA,cAC9J;AAAA,qDACuC,iBAAiB;AAAA,+BACvC;AAAA;AAAA;AAEzB,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAM;AAAA,YAClB;AAAA,mDACuC,QAAQ;AAAA,6BAC9B;AAAA;AAAA;AAAA,EAE1B;AAAC,MAAG,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC,GAAE,IAAE;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,KAAK;AAAE,WAAM;AAAA,QACvG,GAAG,GAAE,CAAC;AAAA,cACA;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA,qDACuCA,IAAE,CAAC;AAAA,UAC9C,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAO,MAAI,IAAE,IAAE;AAAA,cACjC;AAAA,2CAC6B,YAAY;AAAA,oDACH;AAAA,+BACrB;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,yCAC6B,YAAYA,IAAE,CAAC;AAAA,4CACZ;AAAA,6BACf;AAAA;AAAA,MAEzB,MAAI,IAAE,IAAE;AAAA,cACE;AAAA,2CAC6B,YAAY;AAAA,+CACR;AAAA,+BAChB;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,yCAC6B,YAAYA,IAAE,CAAC;AAAA,uCACjB;AAAA,6BACV;AAAA;AAAA,MAEzB,IAAE;AAAA,cACQ;AAAA;AAAA,4BAEc,qBAAqB;AAAA,+BAClB,iBAAiB;AAAA,+BACjB;AAAA;AAAA,QAEzB;AAAA,UACI;AAAA;AAAA,wBAEcA,IAAE,CAAC,aAAa;AAAA,2BACb,MAAM;AAAA,2BACN;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,UAAU,UAAS,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,CAAC,MAAI,GAAE;AAAC,QAAI,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,KAAI,OAAM,KAAK;AAAE,WAAM;AAAA,UACvO,GAAG,GAAE,CAAC;AAAA,eACD;AAAA,mBACI,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAI,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WACnB;AAAA,gDACqC,oCAAoC;AAAA,0CAC1C;AAAA,0DACgB;AAAA;AAAA;AAAA,eAG3C,EAAE,aAAa;AAAA;AAAA;AAE1B,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAKA,IAAE,CAAC,IAAE,CAAC;AAAE,SAAM;AAAA,WAC3D;AAAA;AAAA,UAED,MAAM,MAAM,MAAM;AAAA,eACb,EAAE,aAAa;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC,GAAE,IAAE;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,OAAO;AAAE,WAAM;AAAA,UACnO,GAAG,GAAE,CAAC;AAAA,gBACA;AAAA,mBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACzB;AAAA;AAAA,iCAEmB,MAAM;AAAA,UAC7B,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,UAAU;AAAW,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACrF;AAAA,wBACU;AAAA;AAAA;AAAA;AAAA,0BAIE,iBAAiB;AAAA,+BACZ;AAAA;AAAA,QAEzB;AAAA,gBACU;AAAA;AAAA,oDAEoC;AAAA;AAAA,4BAExB,QAAQ;AAAA,iCACH;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACrB;AAAA,gDACkC;AAAA;AAAA,uDAEO,iBAAiB;AAAA,+BACzC;AAAA;AAAA,QAEzB;AAAA,YACM;AAAA,8CACkCA,IAAE,CAAC;AAAA;AAAA,qDAEI,QAAQ;AAAA,6BAChC;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAE;AAAA,YACb;AAAA;AAAA,sBAEU,eAAe;AAAA,sBACf;AAAA,4DACsC;AAAA,6BAC/B,iBAAiB;AAAA,6BACjB;AAAA;AAAA,QAEvB;AAAA,cACQ;AAAA;AAAA,4BAEc,aAAa,eAAe;AAAA,+BACzB,MAAM;AAAA,+BACN;AAAA;AAAA;AAE5B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,GAAG;AAAE,MAAG;AAAE,WAAM;AAAA,WACtF;AAAA,0CAC+BA;AAAA,0DACgBA;AAAA;AAAA,yBAEjCA;AAAA;AAAA,gDAEuBA,sCAAoCA;AAAA;AAAA;AAAA,mGAGe,EAAE,aAAaA;AAAA;AAAA;AAE9G,MAAI,IAAE,EAAE,UAAU,cAAa,IAAE,EAAE,QAAO,IAAE,EAAE,UAAU,UAAS,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,IAAE,KAAK,KAAK,EAAE,IAAE,CAAC,IAAE,CAAC,GAAE,IAAE,2BAA0B,IAAE,OAAO,mBAAmB;AAAgB,WAAQ,IAAE,GAAE,IAAE,IAAE,GAAE;AAAI,QAAE,QAAQ,QAAM,GAAE,KAAG,EAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAI,OAAO,SAAO;AAAE,SAAM;AAAA,WACtT,KAAK;AAAA,oBACI;AAAA,2BACO;AAAA,kCACO;AAAA,qDACmB,MAAM;AAAA,eAC5C,EAAE,aAAaA;AAAA;AAAA;AAE3B;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,UAAU,cAAa,IAAE,EAAE,MAAK,IAAE,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAE,GAAE,IAAEA,IAAE,CAAC,IAAE,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAaA,GAAC;AAAE,MAAG,EAAE,SAAOA,IAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,QAAQ;AAAE,WAAM;AAAA,QAChP,GAAG,GAAE,CAAC;AAAA,cACA;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA;AAAA,iCAEmB,MAAM,MAAM;AAAA,UACnC,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,iBAAiB,cAAa,IAAE,iBAAiB,wBAAuB,IAAE,iBAAiB;AAAuB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACzM;AAAA,UACJ;AAAA,UACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMgB,iBAAiB;AAAA,+BACZ;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA;AAAA;AAAA;AAAA,uBAIS,MAAM;AAAA;AAAA,0BAEH,QAAQ;AAAA,+BACH;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAO,IAAE;AAAA,cACnB;AAAA;AAAA,gCAEkB,eAAe,cAAc;AAAA;AAAA;AAAA,yBAGpC,iBAAiB;AAAA,+BACX;AAAA;AAAA,QAEzB;AAAA,cACQ;AAAA;AAAA,gCAEkBA,IAAE,CAAC,IAAEA,IAAE,CAAC,MAAMA,IAAE,CAAC;AAAA;AAAA;AAAA,yBAGxB,QAAQ;AAAA,+BACF;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC;AAAE,SAAO,IAAE;AAAA,YACf;AAAA;AAAA,QAEJ;AAAA,QACA;AAAA,QACA;AAAA;AAAA;AAAA,6BAGqB,iBAAiB,yBAAyB;AAAA,6BAC1C;AAAA;AAAA,MAEzB;AAAA,YACQ;AAAA;AAAA,0BAEc,aAAa;AAAA,oBACnB;AAAA,6BACS,MAAM,cAAc;AAAA,6BACpB;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,UAAU,cAAaA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,UAAS,QAAQ;AAAE,WAAM;AAAA,QAChQ,GAAG,CAAC;AAAA,cACE;AAAA,iBACG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACvB;AAAA;AAAA;AAAA,iBAGG,MAAM,MAAM,MAAM;AAAA;AAAA,UAEzB,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAClF;AAAA;AAAA;AAAA,gCAGkB,MAAM,MAAM;AAAA;AAAA,0BAElB,QAAQ;AAAA,+BACHA;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAChB;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,IAAE,EAAE,CAAC,MAAM,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGT,QAAQ;AAAA,+BACFA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAM;AAAA,YACZ;AAAA;AAAA,0BAEc,aAAa,eAAe;AAAA,qBACjC,gBAAgB;AAAA,6BACR,MAAM;AAAA,6BACNA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,UAAU,cAAaA,MAAE,EAAE,MAAK,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,OAAM,OAAM,SAAQ,UAAS,UAAS,QAAQ;AAAE,WAAM;AAAA,QACvO,GAAG,CAAC;AAAA,cACE;AAAA;AAAA,iBAEG,KAAK,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA,EAEvB;AAAC,MAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,EAAE,CAAC,IAAE;AAAE,MAAG,EAAE,UAAU;AAAU,WAAM;AAAA,cACtE;AAAA;AAAA;AAAA;AAAA,iBAIG,MAAM,MAAM,MAAM;AAAA;AAAA;AAAA,mBAGhB;AAAA,UACT,GAAG,CAAC;AAAA;AAAA;AAER,MAAI,IAAE,EAAE,UAAU,YAAW,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAClF;AAAA;AAAA;AAAA;AAAA,iBAIG,MAAM,MAAM,MAAM;AAAA;AAAA;AAAA,0BAGT,QAAQ;AAAA,+BACHA;AAAA;AAAA;AAEzB,MAAG,MAAI,KAAG,KAAG;AAAK,WAAM;AAAA,cAChB;AAAA;AAAA;AAAA,iBAGG,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBAClB,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACb,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,iBACR,EAAE,CAAC;AAAA;AAAA;AAAA,yBAGK,QAAQ;AAAA,+BACFA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAM;AAAA,YACZ;AAAA;AAAA;AAAA,0BAGc,aAAa,eAAe;AAAA,qBACjC,gBAAgB,gBAAgB;AAAA,6BACxB,MAAM;AAAA,6BACNA;AAAA;AAAA;AAE1B;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE,MAAKA,MAAE,EAAE,cAAc,EAAE,UAAU,YAAY;AAAE,SAAOA,MAAE,IAAE,UAAU,OAAK;AAAA,0BAC5EA;AAAA;AAAA,iBAET;AAAA;AAAA;AAAA;AAGd;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAEA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,eAAc,IAAE,EAAE,UAAU,aAAa,QAAO,IAAE,EAAE,aAAa,QAAO,IAAE,GAAG,EAAE,UAAU,cAAa,EAAE,YAAY,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,QAAI,IAAE,IAAE,KAAG,IAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,EAAE,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CACzU;AAAE,MAAI,IAAE;AAAG,MAAE,KAAG,IAAE,IAAE,IAAE,WAAS,IAAE,EAAE,UAAU,aAAa,IAAI,CAAC,GAAE,MAAI,UAAU,EAAE,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI;AAAE,MAAI,IAAE,uBAAsB,IAAE,EAAE,cAAc,EAAE,UAAU,YAAY,MAAI,GAAE,IAAE,EAAE,cAAc,EAAE,YAAY,MAAI;AAAE,MAAG,MAAI,KAAG,CAAC,KAAG,CAAC;AAAE,QAAE;AAAA;AAAA;AAAA,WAE5N,KAAG,CAAC;AAAE,UAAI,IAAE,IAAE;AAAA;AAAA,UAEpB,IAAE;AAAA;AAAA;AAAA,WAEM,EAAE,QAAO;AAAC,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,MAAE,QAAQ,CAAC,IAAE,MAAI,EAAE,QAAQ,CAAC,IAAE,KAAG,IAAE,gCAA8B,EAAE,QAAQ,CAAC,IAAE,KAAG,IAAE,6EAA2E,EAAE,QAAQ,CAAC,IAAE,OAAK,IAAE;AAAA,EAA+C;AAAC,SAAM;AAAA,WACvQ;AAAA,QACH;AAAA,QACA;AAAA,8BACsB,KAAK;AAAA,QAC3B;AAAA;AAAA;AAEL;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAEA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,eAAc,IAAE,EAAE,UAAS,IAAE,EAAE,UAAU,UAAS,IAAE,EAAE,UAAU,aAAa,QAAO,IAAE,EAAE,aAAa;AAAO,MAAG,CAAC,EAAE,UAAU,aAAW,MAAI,KAAG,EAAE,UAAU,cAAY,QAAM,EAAE,YAAY,GAAE,CAAC;AAAE,WAAM;AAAA,cAC1Q;AAAA,+BACiBA;AAAA;AAAA;AAEzB,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,UAAU,cAAa,EAAE,YAAY,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,QAAI,IAAE,IAAE,KAAG,IAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,EAAE,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CACxL;AAAE,MAAI,IAAE;AAAG,SAAO,IAAE,KAAG,IAAE,IAAE,IAAE,WAAS,IAAE,EAAE,UAAU,aAAa,IAAI,CAAC,GAAE,MAAI,UAAU,EAAE,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI,GAAE;AAAA,YAChG;AAAA,QACJ;AAAA,QACA;AAAA,kBACU,KAAK;AAAA;AAAA;AAEpB;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAE,WAAM;AAAM,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,MAAG,MAAI;AAAE,WAAM;AAAQ,QAAM,MAAM,gBAAgB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,EAAC,UAAS,GAAE,UAAS,EAAC,IAAE,EAAE,aAAa,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,KAAG,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,KAAG,CAAC,EAAE,YAAY,GAAEA,GAAC,KAAG,EAAE,SAAO,KAAG;AAAE,SAAM,EAAC,iBAAgB,GAAE,cAAa,IAAE,IAAE,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,KAAK,MAAM,KAAK,UAAU,CAAC,CAAC;AAAE,SAAOA,IAAE,UAAU,eAAa,GAAEA;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,EAAE,IAAI,CAAAA,QAAG,EAAEA,GAAC,CAAC,EAAE,KAAK,IAAI;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,EAAC,cAAa,EAAE,OAAM,UAAS,EAAE,YAAU,OAAK,EAAE,QAAQ,UAAS,WAAU,EAAE,WAAU,UAAS,EAAE,YAAU,QAAG,EAAE,QAAQ,UAAS,YAAW,KAAI;AAAE,WAAO,EAAE,WAAS,QAAM,EAAE,QAAQ,SAAO,QAAM,EAAE,QAAQ,MAAM,aAAW,MAAI,EAAE,aAAW,EAAE,QAAQ,MAAM,aAAY,EAAC,MAAK,EAAE,cAAc,CAAC,GAAE,WAAU,EAAC;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,SAAS,GAAE,IAAE,EAAC,cAAa,EAAE,OAAM,UAAS,EAAE,QAAQ,UAAS,WAAU,OAAG,UAAS,EAAE,QAAQ,UAAS,YAAW,KAAI,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,IAAG,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,SAAO,EAAE,EAAE,IAAI,qBAAqB,IAAE,EAAC,SAAQ,GAAE,gBAAe,GAAE,QAAO,GAAE,cAAa,GAAE,cAAa,GAAE,cAAa,GAAE,oBAAmB,MAAK,wBAAuB,MAAK,QAAO,MAAK,QAAO,MAAK,kBAAiB,MAAK,yBAAwB,MAAK,qBAAoB,KAAI,KAAG,EAAE,SAAS,CAAC,GAAE,OAAO,OAAO,EAAC,SAAQ,GAAE,gBAAe,GAAE,QAAO,GAAE,cAAa,GAAE,cAAa,GAAE,cAAa,EAAC,GAAE,GAAG,GAAE,GAAE,CAAC,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,IAAE,MAAK,IAAE;AAAK,MAAE,EAAE,mBAAmBA,KAAE,OAAM,KAAE,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,MAAI,IAAE,EAAE,mBAAmBA,KAAE,YAAW,KAAE;AAAG,MAAI,IAAE;AAAG,WAAQ,KAAK,EAAE,eAAc;AAAC,QAAI,IAAE,EAAC,MAAK,GAAE,SAAQ,EAAE,mBAAmBA,KAAE,GAAE,CAAC,GAAE,QAAO,EAAE,mBAAmBA,KAAE,SAAS,KAAI,CAAC,EAAC;AAAE,MAAE,wBAAsB,EAAE,QAAM,EAAE,mBAAmBA,KAAE,GAAG,UAAS,CAAC,GAAE,EAAE,WAAS,EAAE,mBAAmBA,KAAE,GAAG,aAAY,CAAC,IAAG,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAG,EAAE,wBAAsB,IAAE,EAAE,mBAAmBA,KAAE,YAAW,CAAC,GAAE,IAAE,EAAE,mBAAmBA,KAAE,mBAAkB,CAAC,GAAE,IAAE,EAAE,mBAAmBA,KAAE,eAAc,CAAC,IAAG,EAAE;AAAe,aAAQ,KAAK,EAAE;AAAe,QAAE,KAAK,EAAE,mBAAmBA,KAAE,EAAE,MAAK,CAAC,CAAC;AAAE,SAAM,EAAC,oBAAmB,GAAE,wBAAuB,GAAE,QAAO,GAAE,QAAO,GAAE,kBAAiB,GAAE,yBAAwB,GAAE,qBAAoB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,MAAM,4BAA4B,EAAE,wCAAwC,EAAE,eAAe;AAAE,IAAE,QAAQ,CAACA,KAAE,MAAI;AAAC,QAAI,IAAEA,IAAE,cAAa,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE;AAAM,QAAG,CAAC,EAAE,YAAY,GAAE,CAAC;AAAE,YAAM,MAAM,2EAA2E,SAAS,cAAc;AAAE,QAAGA,IAAE,aAAW,EAAE;AAAU;AAAO,QAAI,IAAEA,IAAE,UAAS,IAAE,EAAE,YAAU,OAAK,EAAE,QAAQ;AAAS,QAAG,CAAC,EAAE,YAAY,GAAE,CAAC;AAAE,YAAM,MAAM,kFAAkF,SAAS,cAAc;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,IAAE,QAAQ,wBAAsB,GAAG,EAAE,cAAaA,GAAC,GAAE,GAAG,CAAC,EAAE,YAAY,GAAE,CAAC,CAAC,CAAC;AAAG,MAAI,IAAE,EAAE,QAAQ,SAAQ,IAAE,EAAE,QAAQ;AAAS,IAAE,QAAQ,WAAS,EAAE,6BAA6B,EAAE,SAAQ,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,EAAE,uBAAuB,EAAE,SAAQ,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE,EAAE,WAAW,EAAE,YAAY,GAAE,EAAE,gBAAgB,EAAE,aAAa,GAAG,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,KAAG,EAAE,WAAS,QAAM,EAAE,GAAG,UAAU,EAAE,QAAO,IAAE,CAAC,GAAE,EAAE,WAAS,QAAM,EAAE,GAAG,UAAU,EAAE,QAAO,GAAG;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,CAAC,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,GAAE,UAAS,EAAC,IAAE,EAAE,mBAAmB,CAAC;AAAE,QAAG,GAAE;AAAC,UAAG,EAAC,cAAa,EAAC,IAAE,GAAG,EAAE,QAAQ,cAAa,EAAE,OAAM,EAAE,QAAQ,QAAQ;AAAE,cAAO,EAAE,QAAO;AAAA,QAAC,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM,KAAK;AAAE,YAAE,GAAG,WAAW,GAAE,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,QAAM;AAAQ;AAAA,MAAK;AAAA,IAAC;AAAC,QAAG,KAAG,EAAE,GAAG,UAAU,GAAE,EAAE,QAAQ,SAAS,CAAC,GAAE,EAAE,QAAQ,SAAS,CAAC,CAAC,GAAE,KAAG,MAAK;AAAC,UAAG,EAAE,WAAU;AAAC,YAAG,EAAE,cAAc,EAAE,KAAK,IAAE;AAAE,YAAE,GAAG,UAAU,GAAE,EAAE,cAAc,CAAC,CAAC;AAAA,aAAM;AAAC,cAAI,IAAE,EAAE;AAAc,uBAAa,iBAAe,IAAE,IAAI,aAAa,CAAC,IAAG,EAAE,GAAG,WAAW,GAAE,CAAC;AAAA,QAAC;AAAC;AAAA,MAAQ;AAAC,QAAE,QAAQ,SAAO,QAAM,KAAG,QAAM,EAAE,GAAG,UAAU,GAAE,EAAE,QAAQ,MAAM,UAAU,GAAE,EAAE,sBAAsB,EAAE,QAAQ,QAAQ,SAAQ,GAAE,CAAC;AAAA,IAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE;AAAiB,MAAG;AAAE,YAAO,EAAE,MAAM,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,GAAE,IAAI,WAAW,EAAE,KAAK,CAAC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAC,MAAG,EAAE,yBAAwB;AAAC,QAAI,IAAE,EAAE,eAAe,EAAE,KAAK;AAAE,YAAO,EAAE,MAAM,QAAO;AAAA,MAAC,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM,KAAK;AAAE,UAAE,GAAG,WAAW,EAAE,yBAAwB,IAAI,WAAW,CAAC,CAAC;AAAE;AAAA,MAAM;AAAQ;AAAA,IAAK;AAAA,EAAC;AAAC,MAAG,EAAE,uBAAqB,EAAE,GAAG,UAAU,EAAE,qBAAoB,EAAE,QAAQ,SAAS,CAAC,GAAE,EAAE,QAAQ,SAAS,CAAC,CAAC,GAAE,EAAE,QAAQ,kBAAgB;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAQ,eAAe,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,QAAQ,eAAe,CAAC,GAAE,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAG,EAAE,SAAO;AAAQ,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAO,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAO,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAO,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAM,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAQ,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAQ,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA,eAAU,EAAE,SAAO;AAAQ,UAAE,GAAG,WAAW,GAAE,CAAC;AAAA;AAAO,cAAM,MAAM,gBAAgB,EAAE,4BAA4B;AAAA,IAAC;AAAC,IAAE,eAAe;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE;AAAG,IAAE,OAAOA,GAAC,EAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,EAAE,WAAS,QAAM,EAAE,QAAQ,SAAO,QAAM,EAAE,QAAQ,MAAM,aAAW;AAAE,QAAG,EAAE,uBAAqB,CAAC,EAAE,WAAU;AAAC,UAAI,IAAE,EAAE,QAAQ,UAAS,EAAC,iBAAgB,GAAE,cAAa,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,cAAa,EAAE,OAAM,CAAC,GAAE,IAAE,IAAG,IAAE,IAAG,IAAE;AAAG,UAAG,EAAE,WAAS,KAAG,EAAE,cAAa;AAAC,YAAI,IAAE,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,CAAC,CAAC;AAAE,YAAE,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAA,MAAG,WAAS,EAAE,WAAS,KAAG,CAAC,EAAE;AAAa,YAAE,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAA,eAAY,EAAE,SAAO,KAAG,CAAC,EAAE,cAAa;AAAC,YAAI,IAAE,EAAE,eAAe,CAAC;AAAE,YAAE,GAAG,EAAE,CAAC,MAAI,EAAE,CAAC,KAAK,EAAE,EAAE,SAAO,CAAC,MAAI,EAAE,CAAC;AAAA,MAAG;AAAC,UAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,WAAS,KAAG,EAAE,YAAY,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE,IAAE,EAAE,iBAAiB,EAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,CAAC,EAAE,gBAAc,MAAIA,IAAE,MAAM,UAAQ,EAAE,YAAY,GAAEA,IAAE,QAAQ,QAAQ,GAAE,IAAE,EAAE,gBAAc,EAAE,SAAO,IAAE,KAAG,GAAG,EAAE,CAAC,IAAE,KAAK,EAAE,CAAC,IAAE;AAAI,WAAG,GAAG,KAAK,KAAK,IAAE,IAAE,MAAM,EAAE,UAAU,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,IAAG,OAAK;AAAC,UAAI,IAAE,EAAE,YAAU,YAAU,EAAE,QAAQ;AAAS,WAAG,GAAG,EAAE,SAAS,KAAK;AAAA,IAAG;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,UAAS,IAAE,EAAE,YAAY;AAAK,SAAO,KAAG,MAAI,IAAE,MAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,KAAI;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,QAAQ,2BAA2B,KAAG,KAAG;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,mBAAiB,GAAG,OAAM,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAEntN,KAAK,sBAAoB,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,mBAAiB,GAAG,OAAM,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAElR,KAAK,sBAAoB,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgB/DA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAG;AAAS,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA,QAC9H;AAAA;AAAA;AAAA;AAAA,UAIEA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAG;AAAS,QAAIA,MAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA,QACxK;AAAA;AAAA;AAAA;AAAA;AAAA,UAKEA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,EAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAC;AAAvB,IAAyB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,QAAO;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE;AAAS,IAAAA,QAAI,IAAE;AAA8B,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,WAAG;AAAA,yBACrT;AAAA,8BACK,GAAG,CAAC;AAAA;AAAA,IACtB;AAAC,SAAK,WAAS;AAAA,QACnB,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uCAMH,EAAE;AAAA;AAAA,sCAEH,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAMd,EAAE;AAAA,YAChB;AAAA;AAAA,UAEF,EAAE,iBAAiB;AAAA;AAAA;AAAA,EAExB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,YAAW,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,GAAG;AAAE,SAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,IAAG,IAAE;AAAS,IAAAA,QAAI,IAAE;AAA8B,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE;AAAE,aAAG;AAAA;AAAA,gCAEtU,OAAO,KAAK,sBAAoB,gBAAc,GAAG,EAAE,CAAC;AAAA,8BACtD;AAAA,iCACG,OAAO,KAAK,sBAAoB,gBAAc,GAAG,EAAE,CAAC;AAAA,gCACrD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAUT,EAAE;AAAA;AAAA;AAAA,uBAGF;AAAA;AAAA,uBAEA;AAAA;AAAA,uBAEA;AAAA;AAAA,uBAEA;AAAA;AAAA;AAAA;AAAA;AAAA,MAId;AAAC,SAAK,WAAS;AAAA,UACd,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhC;AAAA;AAAA,YAEA,EAAE,YAAY;AAAA;AAAA;AAAA,EAErB;AAAC;AAAE,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,mCAAkC,MAAI,IAAG,+BAA8B,MAAI,IAAG,4BAA2B,MAAI,IAAG,kCAAiC,MAAI,IAAG,4BAA2B,MAAI,IAAG,mBAAkB,MAAI,IAAG,2BAA0B,MAAI,IAAG,kCAAiC,MAAI,IAAG,oBAAmB,MAAI,IAAG,oBAAmB,MAAI,IAAG,iDAAgD,MAAI,IAAG,iCAAgC,MAAI,IAAG,uCAAsC,MAAI,IAAG,gCAA+B,MAAI,IAAG,0CAAyC,MAAI,IAAG,gDAA+C,MAAI,IAAG,0CAAyC,MAAI,IAAG,yCAAwC,MAAI,IAAG,gDAA+C,MAAI,IAAG,4BAA2B,MAAI,IAAG,0BAAyB,MAAI,GAAE,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,GAAG,GAAEA,MAAE,GAAG,EAAE;AAAA;AAAA,MAEp3B,EAAE;AAAA,MACF,EAAE;AAAA,MACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAKD,SAAO,GAAG,GAAEA,GAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,aAAa,CAAC,IAAG,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,IAAI,YAAY,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,KAAG,GAAEA,GAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE;AAAW,SAAO,GAAG,GAAE,MAAI,EAAE,YAAY,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,gBAAe,EAAE,aAAa,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,gBAAe,EAAE,aAAa,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,oBAAmB,EAAE,OAAO,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,cAAc,GAAE,EAAE,oBAAmB,EAAE,OAAO,CAAC,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAE,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,IAAI,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,aAAa,GAAE,GAAE,GAAE,GAAEA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC,GAAE,EAAC,SAAQ,GAAE,UAAS,CAACA,KAAE,CAAC,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAmB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,oBAAmB,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAuB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,oBAAmB,EAAE,oBAAoB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAqB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,aAAa;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAAyB;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE;AAA6B;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,EAAE,MAAK,EAAE,oBAAoB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAaA,GAAC,CAAC,GAAE,GAAG,GAAE,GAAE,gBAAeA,KAAE,GAAE,IAAG,CAAC,KAAG,GAAG,GAAE,GAAE,MAAKA,KAAE,GAAE,IAAG,EAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,KAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC;AAAE,MAAI,GAAE,GAAE;AAAE,eAAa,cAAY,IAAE,IAAI,WAAWA,MAAE,IAAE,CAAC,GAAE,IAAE,EAAE,eAAc,IAAE,EAAE,SAAO,IAAE,IAAI,aAAaA,MAAE,IAAE,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,4BAA2B,EAAE,IAAI,CAAC,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,GAAE,CAAC,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,GAAEA,KAAE,GAAE,GAAE,EAAE,MAAK,GAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,KAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,CAAC,CAAC,GAAEA,IAAE,gBAAgB,aAAW,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAEA,IAAE,OAAMA,IAAE,QAAO,EAAE,MAAK,EAAE,eAAcA,IAAE,IAAI,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,EAAE,MAAKA,IAAE,OAAMA,IAAE,QAAO,GAAE,EAAE,MAAK,EAAE,eAAcA,IAAE,IAAI,CAAC,IAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,GAAG,GAAE,MAAI,EAAE,cAAc,EAAE,YAAW,GAAE,GAAE,GAAE,EAAE,MAAK,EAAE,eAAcA,GAAC,CAAC,IAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,YAAW,GAAE,EAAE,MAAK,EAAE,MAAK,EAAE,eAAcA,GAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,YAAY,EAAE,YAAW,IAAI,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,aAAa;AAAE,KAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,CAAC,CAAC;AAAE,MAAI,IAAE,IAAE,IAAE,IAAEA;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,GAAE,EAAE,WAAW,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,EAAE,OAAM,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,mBAAkB,IAAI,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,GAAE,IAAE,IAAI,aAAaA,GAAC;AAAE,SAAO,EAAE,WAAW,EAAE,mBAAkB,CAAC,GAAE,EAAE,iBAAiB,EAAE,mBAAkB,GAAE,CAAC,GAAE,EAAE,WAAW,EAAE,mBAAkB,IAAI,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,GAAE,IAAE,IAAI,WAAW,GAAG,IAAEA,KAAE,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAE,GAAE,GAAE,EAAE,uBAAsB,EAAE,eAAc,CAAC,CAAC,GAAE,IAAI,aAAa,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,IAAI,aAAa,GAAG,GAAE,CAAC,CAAC;AAAE,SAAO,EAAE,WAAW,EAAE,mBAAkB,CAAC,GAAE,EAAE,iBAAiB,EAAE,mBAAkB,GAAE,CAAC,GAAE,EAAE,WAAW,EAAE,mBAAkB,IAAI,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,IAAI,aAAa,IAAEA,MAAE,CAAC;AAAE,SAAO,GAAG,GAAE,MAAI,EAAE,WAAW,GAAE,GAAEA,KAAE,GAAE,EAAE,MAAK,EAAE,OAAM,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,MAAK,KAAK,UAAQ,MAAK,KAAK,WAAS,OAAG,KAAK,cAAY,CAAC;AAAE,QAAIA,MAAE,EAAE,EAAE,UAAU,eAAe;AAAE,QAAG,KAAG,QAAM,KAAK,KAAG,GAAE,GAAGA,KAAE,CAAC,KAAG,KAAK,KAAG,GAAGA,GAAC,GAAE,IAAE,KAAK,IAAG,EAAE,EAAE,UAAU,eAAe,MAAI,GAAE;AAAC,UAAI,IAAE;AAAE,WAAK,oBAAkB,MAAI,GAAG,GAAE,MAAI,EAAE,kBAAkB,CAAC,GAAE,KAAK,kBAAgB,OAAG,GAAG,GAAE,MAAI,EAAE,gBAAgB,CAAC,CAAC,GAAE,KAAK,oBAAkB,OAAG,GAAG,GAAE,MAAI,EAAE,kBAAkB,CAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,oBAAoB,CAAC;AAAA,IAAC,WAAS,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,aAAa,yBAAyB;AAAE,UAAG,KAAG;AAAK,cAAM,IAAI,MAAM,2EAA2E;AAAE,WAAK,oBAAkB,MAAI,GAAG,GAAE,MAAI,EAAE,qBAAqB,CAAC,GAAE,KAAK,kBAAgB,OAAG,GAAG,GAAE,MAAI,EAAE,mBAAmB,CAAC,CAAC,GAAE,KAAK,oBAAkB,OAAG,GAAG,GAAE,MAAI,EAAE,qBAAqB,CAAC,CAAC,GAAE,KAAK,iBAAe,MAAI,GAAG,GAAE,MAAI,EAAE,aAAa,EAAE,wBAAwB,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,4BAA2B,IAAE;AAA8B,QAAG,KAAK,+BAA6B,KAAK,GAAG,aAAa,6BAA6B,GAAE,EAAE,EAAE,UAAU,eAAe,MAAI,GAAE;AAAC,UAAI,IAAE,qBAAoB,IAAE;AAAyB,UAAG,KAAK,wBAAsB,GAAG,KAAK,IAAG,CAAC,GAAE,GAAG,KAAK,IAAG,CAAC;AAAE,aAAK,4BAA0B,GAAG,KAAK,IAAG,CAAC;AAAA,eAAU,EAAE,EAAE,IAAI,0BAA0B;AAAE,cAAM,IAAI,MAAM,oHAAoH;AAAE,UAAG,KAAK,4BAA0B,KAAK,GAAG,aAAa,CAAC,GAAE,GAAG,KAAK,IAAG,CAAC;AAAE,aAAK,gCAA8B,GAAG,KAAK,IAAG,CAAC;AAAA,eAAU,EAAE,EAAE,IAAI,0BAA0B;AAAE,cAAM,IAAI,MAAM,6HAA6H;AAAA,IAAC,WAAS,IAAE,0BAAyB,GAAG,KAAK,IAAG,CAAC;AAAE,WAAK,4BAA0B,KAAK,GAAG,aAAa,CAAC;AAAA,aAAU,GAAG,KAAK,IAAG,CAAC;AAAE,WAAK,gCAA8B,KAAK,GAAG,aAAa,CAAC;AAAA;AAAO,YAAM,IAAI,MAAM,qDAAqD;AAAE,SAAK,eAAa,GAAG,KAAK,EAAE,GAAE,KAAK,cAAY,GAAG,KAAK,EAAE,GAAE,KAAK,cAAY,GAAG,KAAK,EAAE,GAAE,KAAK,gBAAc,GAAG,KAAK,IAAG,KAAK,yBAAyB;AAAA,EAAC;AAAA,EAAC,IAAI,QAAO;AAAC,WAAO,EAAE,EAAE,QAAQ,OAAO;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK;AAAS;AAAO,SAAK,WAAS,QAAM,QAAQ,KAAK,sKAAsK,GAAE,KAAK,iBAAe,QAAM,QAAQ,KAAK,oMAAoM;AAAE,QAAI,IAAE,KAAK;AAAG,OAAG,GAAE,MAAI,EAAE,OAAO,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,gBAAgB,EAAE,aAAY,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,kBAAkB,KAAK,WAAW,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,cAAa,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,WAAW,EAAE,sBAAqB,IAAI,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,aAAa,KAAK,WAAW,CAAC,GAAE,KAAK,WAAS;AAAA,EAAE;AAAA,EAAC,2BAA2B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAEA,KAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,GAAE,GAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,0BAA0B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,oBAAoB,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,kBAAgB,MAAI,GAAG,KAAK,IAAG,KAAK,WAAW,GAAE,KAAK,gBAAc,OAAM,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,cAAc,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,gDAAgD,GAAEA,KAAE,GAAE;AAAC,WAAO,KAAK,qBAAqB,GAAE,MAAI,GAAG,KAAK,IAAGA,KAAE,GAAE,KAAK,aAAa,CAAC;AAAA,EAAC;AAAA,EAAC,+BAA+B,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,WAAO,GAAG,KAAK,IAAG,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,KAAK,aAAa;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE;AAAC,WAAO,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,SAAK,yBAAyB,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,IAAGA,KAAE,GAAE,KAAK,aAAa;AAAE,WAAO,KAAK,2BAA2B,GAAE;AAAA,EAAC;AAAA,EAAC,wBAAuB;AAAC,QAAI,IAAE,KAAK,YAAY,KAAK,EAAE;AAAE,WAAO,KAAK,UAAU,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,KAAE;AAAE,QAAG,EAAE,EAAE,QAAQ,yBAAyB,GAAE;AAAC,UAAI,IAAE,GAAE,IAAE,EAAE,UAAU,EAAE,4BAA2B,CAAC;AAAE,QAAE,MAAM,GAAE,IAAE,MAAI;AAAC,YAAI,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAE,eAAO,MAAI,EAAE,oBAAkB,MAAI,EAAE;AAAA,MAAmB,GAAEA,MAAE;AAAA,IAAC;AAAM,QAAE,EAAE,UAAU,8CAA8C,IAAE,KAAGA,MAAE,KAAK,WAAW,GAAE,KAAK,SAAS,GAAE,IAAE,MAAI,KAAK,iBAAiBA,KAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC,KAAG,IAAE,MAAI;AAAG,WAAM,EAAC,OAAMA,KAAE,eAAc,EAAC;AAAA,EAAC;AAAA,EAAC,gCAAgC,GAAEA,KAAE,GAAE;AAAC,WAAO,KAAK,qBAAqB,GAAE,MAAI,GAAG,KAAK,IAAGA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAIA,MAAE,KAAK;AAAG,SAAK,gBAAc,SAAO,KAAK,eAAa,GAAGA,GAAC;AAAG,QAAI,IAAE,GAAGA,GAAC;AAAE,OAAGA,KAAE,MAAIA,IAAE,aAAa,GAAE,KAAK,YAAY,CAAC,GAAE,GAAGA,KAAE,MAAIA,IAAE,aAAa,GAAE,CAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI,IAAE,OAAO,OAAO,GAAE,EAAC,KAAI,KAAK,kBAAkB,EAAC,CAAC;AAAE,WAAO,KAAK,SAAO,GAAGA,KAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,SAAK,WAAW,CAAC,GAAE,KAAK,gBAAgB,EAAE,GAAG;AAAE,QAAIA,MAAE,KAAK;AAAG,OAAGA,KAAE,MAAIA,IAAE,WAAWA,IAAE,sBAAqB,KAAK,WAAW,CAAC,GAAE,GAAGA,KAAE,GAAE,KAAK,YAAY;AAAA,EAAC;AAAA,EAAC,cAAc,GAAE;AAAC,SAAK,gBAAgB,GAAE,MAAI,KAAK,YAAU,KAAK,UAAQ,OAAM,KAAG,SAAO,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,cAAc,CAAC,CAAC,GAAE,KAAK,kBAAkB,EAAE,GAAG;AAAA,EAAE;AAAA,EAAC,WAAW,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,UAAQ,GAAE,KAAK,WAAS,QAAM,KAAK,SAAO,GAAG,KAAK,IAAG,KAAK,OAAO,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,WAAW,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,KAAE,IAAE,MAAG;AAAC,WAAO,KAAK,gBAAgB,GAAE,IAAE,GAAG,KAAK,IAAG,GAAEA,GAAC,IAAE,GAAG,KAAK,IAAG,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,kBAAkB,GAAEA,GAAC,CAAC;AAAA,EAAC;AAAA,EAAC,0BAA0B,GAAEA,KAAE;AAAC,WAAO,KAAK,gBAAgB,GAAE,KAAK,GAAG,mBAAmB,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,sBAAsB,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,KAAK,iBAAiB,GAAE,GAAG,KAAK,IAAG,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAEA,KAAE,GAAE;AAAC,SAAK,6BAA6B,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAG,CAAC,GAAE,CAAC,IAAE,GAAGA,KAAE,CAAC;AAAE,SAAK,6BAA6B,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,2BAA2B,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,iCAAiC,GAAE,GAAE,GAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE,GAAE,GAAE;AAAC,UAAM,IAAI,MAAM,mDAAmD;AAAA,EAAC;AAAA,EAAC,gBAAe;AAAC,SAAK,WAAS,QAAM,GAAG,KAAK,IAAG,KAAK,OAAO,GAAE,GAAG,KAAK,EAAE;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,SAAK,gBAAgB,GAAE,KAAK,iBAAiB;AAAE,QAAI,IAAE,KAAK;AAAG,QAAG,KAAK,OAAM;AAAC,UAAIA,MAAE,KAAK,eAAe;AAAE,cAAQ,OAAOA,QAAI,KAAK,QAAQ,KAAI,oDAAoD,GAAE,KAAK,cAAc;AAAA,IAAC;AAAC,OAAG,GAAE,MAAI,EAAE,aAAa,EAAE,WAAU,GAAE,EAAE,gBAAe,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iCAAgC;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,OAAO,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,+BAA6B,SAAO,KAAK,8BAA4B,GAAG,KAAK,IAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,IAAE,oCAAkC,0BAA0B,IAAG,KAAK;AAAA,EAA2B;AAAA,EAAC,+BAA8B;AAAC,WAAO,KAAK,uBAAuB;AAAA,EAAC;AAAA,EAAC,+BAA8B;AAAC,WAAO,KAAK,uBAAuB;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,QAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,GAAE;AAAC,UAAI,IAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,YAAY;AAAE,aAAO,EAAE,WAAW,EAAE,kBAAiB,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,6BAA6B,GAAEA,MAAE,EAAE,eAAe;AAAE,WAAO,EAAE,cAAc,EAAE,kBAAiBA,GAAC,GAAEA;AAAA,EAAC;AAAA,EAAC,WAAU;AAAC,QAAG,EAAE,EAAE,UAAU,8CAA8C,MAAI,GAAE;AAAC,UAAIA,MAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B;AAAE,MAAAA,IAAE,SAAS,EAAE,gBAAgB;AAAE;AAAA,IAAM;AAAC,QAAI,IAAE,KAAK,6BAA6B;AAAE,MAAE,YAAY,EAAE,gBAAgB;AAAA,EAAC;AAAA,EAAC,MAAM,uBAAuB,GAAE;AAAC,WAAO,MAAM,EAAE,YAAY,MAAI,KAAK,YAAU,KAAK,iBAAiB,GAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC,CAAC,GAAE,KAAK,aAAa,GAAE,EAAE,EAAE,UAAU,8CAA8C,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,QAAGA,QAAI;AAAE,aAAO;AAAK,QAAGA,QAAI,GAAE;AAAC,UAAI,IAAE,KAAK;AAAG,aAAO,EAAE,kBAAkB,GAAE,EAAE,YAAY,IAAE;AAAA,IAAG,OAAK;AAAC,UAAI,IAAE,KAAK,6BAA6B;AAAE,aAAO,EAAE,kBAAkB,GAAE,EAAE,gBAAgB,IAAE;AAAA,IAAG;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,QAAGA,QAAI;AAAE,aAAM;AAAG,QAAGA,QAAI,GAAE;AAAC,UAAI,IAAE,KAAK,IAAG,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,sBAAsB;AAAE,aAAO,KAAK,YAAU,SAAO,KAAK,WAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,IAAG,KAAG,CAAC,KAAK;AAAA,IAAQ,OAAK;AAAC,UAAI,IAAE,KAAK,6BAA6B,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,0BAA0B;AAAE,aAAO,KAAK,YAAU,SAAO,KAAK,WAAS,KAAK,GAAG,aAAa,EAAE,gBAAgB,IAAG,KAAG,CAAC,KAAK;AAAA,IAAQ;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,WAAO,IAAI,QAAQ,CAAAA,QAAG;AAAC,WAAK,cAAc,MAAI,EAAE,cAAc,GAAE,MAAIA,IAAE,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC;AAAA,EAAC,YAAW;AAAC,QAAI,IAAE,GAAG,KAAK,YAAY,IAAI,CAAAA,QAAGA,IAAE,QAAQ,CAAC;AAAE,aAAQA,MAAE,GAAEA,OAAG,GAAE,EAAEA,KAAE;AAAC,UAAG,EAAC,WAAU,EAAC,IAAE,KAAK,YAAYA,GAAC;AAAE,QAAE;AAAA,IAAC;AAAC,SAAK,cAAY,KAAK,YAAY,MAAM,IAAE,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE;AAAC,QAAG,KAAK,YAAY,KAAK,EAAC,UAAS,GAAE,WAAUA,IAAC,CAAC,GAAE,KAAK,YAAY,SAAO;AAAE;AAAO,QAAI;AAAE,0BAAqB,EAAE,EAAE,aAAW,IAAE,EAAE,EAAE,SAAS,iBAAiB,KAAK,EAAE,EAAE,QAAQ,IAAG,EAAE,YAAY,OAAK,KAAK,UAAU,GAAE,KAAK,YAAY,WAAS,IAAG,MAAI,GAAE,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAyB,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,GAAE,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,KAAK,EAAE;AAAA,EAAC;AAAA,EAAC,6BAA4B;AAAC,SAAK,iBAAe,QAAM,GAAG,KAAK,IAAG,KAAK,eAAc,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,KAAK,EAAE,KAAG,GAAG,KAAK,IAAG,KAAK,WAAW;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,SAAK,yBAAyB,CAAC;AAAE,QAAI,IAAEA,IAAE;AAAE,WAAO,KAAK,2BAA2B,GAAE;AAAA,EAAC;AAAA,EAAC,6BAA6B,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAgB;AAAE,QAAI,IAAE,KAAK;AAAG,OAAG,GAAE,GAAE,KAAK,WAAW,GAAE,KAAK,SAAO,GAAG,CAAC,GAAE,KAAK,gBAAc,GAAE,GAAG,GAAE,MAAI,EAAE,SAAS,GAAE,GAAEA,KAAE,CAAC,CAAC,GAAE,GAAG,GAAE,MAAI,EAAE,QAAQ,GAAE,GAAEA,KAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,iCAAiC,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAgB,GAAE,GAAG,KAAK,IAAG,MAAI,KAAK,GAAG,QAAQ,GAAEA,KAAE,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,kBAAiB;AAAC,QAAG,KAAK;AAAS,YAAM,IAAI,MAAM,yCAAyC;AAAA,EAAC;AAAA,EAAC,mBAAkB;AAAC,QAAG,KAAK,WAAS;AAAK,YAAM,IAAI,MAAM,kCAAkC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE,EAAE,UAAQ,EAAE,CAAC,EAAE,GAAE,EAAE;AAAE;AAAC,SAAO,IAAE;AAAC;AAAC,IAAG,EAAC,SAAQ,IAAG,cAAa,IAAG,oBAAmB,IAAG,UAAS,IAAG,UAAS,IAAG,YAAW,IAAG,WAAU,IAAG,SAAQ,IAAG,WAAU,IAAG,WAAU,IAAG,cAAa,IAAG,cAAa,IAAG,aAAY,IAAG,kBAAiB,IAAG,UAAS,IAAG,eAAc,IAAG,cAAa,IAAG,SAAQ,IAAG,SAAQ,IAAG,aAAY,IAAG,aAAY,IAAG,cAAa,IAAG,SAAQ,IAAG,cAAa,IAAG,UAAS,IAAG,kBAAiB,IAAG,iBAAgB,IAAG,0BAAyB,IAAG,WAAU,IAAG,WAAU,IAAG,aAAY,IAAG,aAAY,IAAG,eAAc,IAAG,WAAU,IAAG,yBAAwB,IAAG,mBAAkB,IAAG,4BAA2B,IAAG,UAAS,IAAG,wBAAuB,IAAG,kBAAiB,IAAG,kBAAiB,IAAG,iBAAgB,IAAG,4BAA2B,IAAG,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,eAAc,IAAG,YAAW,GAAE,IAAE;AAAG,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC,EAAE,IAAI,CAAAA,QAAG,GAAG,KAAKA,KAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAO,MAAI,IAAE,CAAC,CAAC,IAAE,GAAG,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAK,MAAIA,MAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,IAAAA,OAAG,EAAE,CAAC,GAAE,IAAE,IAAE,MAAIA,OAAG;AAAK,SAAOA;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,SAAO;AAAE,WAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,SAI39c;AAAC,UAAIA,MAAE,GAAG,MAAK,KAAK,IAAI,GAAE,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,KAAK,wBAAwBA,GAAC,GAAE,IAAE,KAAK,SAASA,GAAC,GAAE,IAAE,KAAK,UAAUA,GAAC;AAAE,WAAK,WAAS;AAAA;AAAA,YAEjI;AAAA;AAAA,eAEG;AAAA;AAAA;AAAA,cAGD;AAAA;AAAA,6BAEe;AAAA;AAAA;AAAA;AAAA,IAGtB;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAE;AAAC,QAAIA,MAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE,KAAI;AAAC,YAAI,IAAE,GAAG,MAAI,IAAE,MAAI,UAAU,MAAI,IAAE,MAAI;AAAQ,iBAAQ,IAAE,GAAE,IAAE,KAAK,MAAK;AAAI,cAAE,GAAG,EAAE,EAAE,SAAO,IAAE,CAAC,OAAK;AAAE,QAAAA,IAAE,KAAK,CAAC;AAAA,MAAC;AAAC,WAAOA;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM,QAAQ,KAAK,sBAAoB,aAAW,KAAK,YAAY,CAAC;AAAI,QAAIA,MAAE;AAAG,aAAQ,IAAE,KAAK,OAAK,GAAE,IAAE,KAAK,MAAK;AAAI,MAAAA,OAAG,GAAG,EAAE,CAAC,QAAQ,KAAK,sBAAoB,YAAY,OAAK,KAAK,YAAY,CAAC,KAAI,IAAE,KAAK,OAAK,MAAIA,OAAG;AAAM,WAAOA;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAG,KAAK,SAAO;AAAE,aAAM;AAAG,QAAIA,MAAE,EAAE,MAAM,EAAE,GAAE,IAAE,KAAK,sBAAoB,YAAY,KAAK,cAAY,KAAK,YAAY,KAAK,OAAK,CAAC,GAAE,IAAE,KAAK,sBAAoB,YAAY,KAAK,cAAY,KAAK,YAAY,KAAK,OAAK,CAAC;AAAE,WAAM;AAAA,gBAC3rBA,IAAE,CAAC;AAAA,gBACHA,IAAE,CAAC;AAAA;AAAA;AAAA;AAAA,4BAIS;AAAA,4BACA;AAAA;AAAA,EACvB;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,MAAE,KAAK,mBAAmB,CAAC;AAAE,WAAO,KAAK,SAAO,IAAE,wBAAwB,KAAK,sBAAoB,aAAW,KAAK,YAAY,CAAC,iCAA+B,QAAQA,IAAE,CAAC;AAAA,gCACjKA,IAAE,CAAC;AAAA,gCACHA,IAAE,CAAC;AAAA,yCACMA,IAAE,CAAC;AAAA,EAAI;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,cAAa,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE;AAAe,UAAE,MAAI,MAAI,KAAG,mBAAkB,IAAE,MAAI,KAAG,mBAAkB,KAAG;AAAA,UACzX;AAAA,UACA,IAAE,IAAE,4CAA0C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mBAMrC;AAAA;AAAA,UAET,IAAE,IAAE,MAAI;AAAA;AAAA,IACX;AAAC,SAAK,WAAS;AAAA,QACd,GAAGA,KAAE,KAAK,mBAAmB;AAAA,QAC7B,KAAK,sBAAoB,GAAG,IAAE,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qBAQrB,KAAK,sBAAoB,gBAAc,EAAE,CAAC;AAAA,qBAC1C,KAAK,sBAAoB,gBAAc,EAAE,CAAC;AAAA;AAAA,UAErD;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM;AAAA;AAAA,QAEvB,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,YAAY,IAAE,GAAG,CAAC,KAAI,KAAI,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGxD;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,QAAM,GAAE,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,GAAE,KAAK,gBAAc,GAAE,KAAK,eAAa,CAAC,GAAE,KAAK,eAAa,CAAC,GAAE,KAAK,aAAW;AAAA,EAAE;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC,IAAG,KAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC;AAAG,QAAI,IAAE,GAAG,GAAE,GAAE,KAAK,MAAM,IAAG,KAAK,MAAM,eAAc,CAAC;AAAE,QAAG,KAAK,aAAa,CAAC,EAAE,SAAO,GAAE;AAAC,WAAK,mBAAkB,KAAK,mBAAkB,KAAK,iBAAe,GAAE,KAAK,IAAI;AAAE,UAAI,IAAE,KAAK,aAAa,CAAC,EAAE,IAAI;AAAE,aAAO,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI;AAAE,WAAO,MAAI,GAAG,qBAAmB,IAAE,KAAK,MAAM,0BAA0B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,qBAAmB,IAAE,KAAK,MAAM,iCAAiC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,mBAAiB,IAAE,KAAK,MAAM,2BAA2B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,mBAAiB,IAAE,KAAK,MAAM,2BAA2B,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAE,MAAI,GAAG,6BAA2B,IAAE,KAAK,MAAM,iCAAiC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK,sBAAoB,GAAE,KAAK,IAAI,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAK,gBAAc;AAAK;AAAO,QAAI,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,GAAGA,KAAE,GAAE,CAAC;AAAE,SAAK,KAAK,iBAAe,KAAK,aAAa,CAAC,IAAE,CAAC;AAAG,QAAI,IAAE,GAAGA,KAAE,GAAE,KAAK,MAAM,IAAG,KAAK,MAAM,eAAc,CAAC,GAAE,IAAE,EAAE,EAAE,IAAI,gCAAgC;AAAE,UAAI,MAAI,KAAK,qBAAmB,KAAG,KAAK,MAAM,oBAAoB,EAAE,OAAO,GAAE,KAAK,sBAAoB,MAAI,KAAK,aAAa,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK,iBAAe,IAAG,KAAK;AAAkB,QAAI,IAAE,KAAK,aAAa,CAAC,GAAE,IAAE,KAAG,EAAE,QAAQ,CAAC;AAAE,QAAG,KAAG,QAAM,IAAE;AAAE,YAAM,IAAI,MAAM,0EAA0E;AAAE,MAAE,CAAC,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,EAAE,IAAI,GAAE,KAAK,IAAI;AAAA,EAAC;AAAA,EAAC,MAAK;AAAC,QAAG,CAAC,KAAK;AAAW;AAAO,QAAI,IAAE,KAAK,kBAAgB,KAAK;AAAgB,YAAQ,IAAI,aAAY,GAAG,KAAK,qBAAqB,KAAK,mBAAkB,IAAI,IAAI;AAAE,QAAIA,MAAE,KAAK,gBAAc,KAAK;AAAmB,YAAQ,IAAI,oBAAoB,KAAK,oBAAoB,GAAE,QAAQ,IAAI,iBAAiB,KAAK,kBAAkB,KAAK,MAAM,MAAIA,GAAC,KAAK;AAAA,EAAC;AAAA,EAAC,IAAI,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAkB;AAAA,EAAC,IAAI,eAAc;AAAC,WAAO,KAAK;AAAA,EAAa;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,QAAG,KAAK,gBAAc,MAAK;AAAC,eAAQ,KAAK,KAAK;AAAa,aAAK,aAAa,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,eAAK,MAAM,oBAAoBA,IAAE,OAAO;AAAA,QAAC,CAAC;AAAE,eAAQ,KAAK,KAAK;AAAa,aAAK,aAAa,CAAC,EAAE,QAAQ,CAAAA,QAAG;AAAC,eAAK,MAAM,oBAAoBA,IAAE,OAAO;AAAA,QAAC,CAAC;AAAE,WAAK,eAAa,MAAK,KAAK,eAAa,MAAK,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,GAAE,KAAK,gBAAc;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE;AAAE,MAAG,MAAIA,IAAE;AAAK,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAK,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAQ,WAAO;AAAG,MAAG,MAAI,EAAE;AAAK,WAAO;AAAG,MAAG,MAAIA,IAAE;AAAQ,WAAO;AAAE,MAAG,MAAIA,IAAE;AAAM,WAAO;AAAE,QAAM,IAAI,MAAM,2BAA2B,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAG,GAAE,CAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE;AAAA,EAAC,OAAK;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,GAAGA,KAAE,CAAC;AAAE,SAAO,IAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAmB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAmB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAiB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAiB,aAAO,GAAG,CAAC;AAAA,IAAE,KAAK,GAAG;AAAyB,aAAO,GAAG,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,iCAAiC,GAAG;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAE,GAAG,qBAAmB,GAAG,mBAAiB,IAAE,GAAG,qBAAmB,GAAG;AAAgB;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,GAAG;AAAO,WAAO,GAAG;AAAmB,MAAG,MAAI,GAAG,UAAQ,KAAG;AAAK,WAAO,GAAG,CAAC;AAAE,MAAG,MAAI,GAAG,YAAU,MAAI,GAAG;AAAO,WAAO,GAAG;AAAyB,QAAM,IAAI,MAAM,gCAAgC,GAAG;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,SAAM,GAAG,EAAE,CAAC,KAAK,EAAE,CAAC,KAAK,KAAKA;AAAG;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAE/xHA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASL;AAAC;AAXspH,IAWppH,KAAG;AAXipH,IAWvnH,KAAG;AAXonH,IAWxmH,KAAG;AAAiB,IAAI,KAAG;AAAP,IAAiD,KAAG,KAAG;AAAA;AAAA;AAAvD,IAEtE,KAAG,KAAG;AAAA;AAAA;AAFgE,IAItE,KAAG;AAJmE,IAIvD,KAAG;AAAsC,IAAI,KAAG;AAAP,IAAmB,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAtB,IASxD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AATqD,IAmBxD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAnBqD,IA6BxD,KAAG;AA7BqD,IA6Bf,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAEpNA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAIA,MAAE,EAAE,QAAO,IAAE,GAAG,MAAKA,GAAC,GAAE,IAAE,GAAGA,GAAC,GAAE,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,IAAEA,OAAG,IAAE,OAAK,QAAQ,EAAE,KAAK,GAAG;AAAK,SAAK,WAAS;AAAA;AAAA,UAElR;AAAA,kCACwB;AAAA;AAAA,4CAEU;AAAA;AAAA;AAAA,EAEvC;AAAC;AAAE,IAAI,KAAG,GAAG;AAAV,IAAoB,KAAG;AAAvB,IAA4B,KAAG;AAA/B,IAAoC,KAAG,CAAC;AAAE,SAAS,GAAG,GAAE;AAAC,SAAO,KAAK,OAAK,GAAG,CAAC,IAAE,CAAC,IAAG,GAAG,CAAC;AAAC;AAAC,IAAI,KAAG,EAAE,EAAE,UAAU,4BAA4B;AAAjD,IAAmD,KAAG;AAAI,SAAS,KAAI;AAAC,SAAO,EAAE,EAAE,OAAO,UAAQ,OAAK,OAAK,EAAE,EAAE,OAAO,OAAO,SAAO,EAAE,EAAE,OAAO,OAAO,QAAM,OAAO,mBAAiB,KAAG,OAAK;AAAI;AAAC,IAAI,KAAG,cAAc,GAAE;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,YAAY,GAAE;AAAC,QAAG,MAAM,GAAE,KAAK,cAAY,oBAAI,WAAQ,KAAK,kBAAgB,oBAAI,WAAQ,KAAK,eAAa,oBAAI,WAAQ,KAAK,gBAAc,GAAE,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE,KAAK,kBAAgB,GAAE,KAAK,oBAAkB,OAAG,KAAK,iBAAe,GAAE,KAAK,WAAS,OAAG,CAAC,EAAE,EAAE,QAAQ,WAAW;AAAE,YAAM,IAAI,MAAM,uCAAuC;AAAE,QAAIA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAG,aAAa;AAAG,QAAAA,MAAE;AAAA,WAAM;AAAC,YAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,GAAE,CAAC;AAAE,QAAAA,MAAE,IAAI,GAAG,CAAC;AAAA,MAAC;AAAC,WAAK,cAAY,CAAC,GAAE,KAAK,sBAAoB;AAAA,IAAE,OAAK;AAAC,UAAI,IAAE,GAAG,EAAE,EAAE,UAAU,eAAe,CAAC;AAAE,MAAAA,MAAE,IAAI,GAAG,CAAC,GAAE,KAAK,cAAY,GAAG,EAAE,EAAE,UAAU,eAAe,CAAC,GAAE,KAAK,sBAAoB;AAAA,IAAE;AAAC,SAAK,QAAMA,KAAE,KAAK,SAAO,KAAK,MAAM,GAAG,QAAO,KAAK,iBAAe,IAAI,GAAG,KAAK,KAAK,GAAE,KAAK,qBAAmB,GAAG,GAAE,KAAK,UAAQ,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,QAAQ,WAAW,IAAE,KAAK;AAAA,EAAc;AAAA,EAAC,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK,eAAeA,KAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,WAAS,OAAG,EAAE,UAAQ,EAAC,SAAQ,GAAE,UAAS,CAAC,GAAE,CAAC,EAAC,GAAE,EAAE,WAAS,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,GAAGA,GAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAG,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,WAAO,EAAE,QAAMA,KAAE,EAAE,UAAQ,MAAK,KAAK,8BAA8B,CAAC,GAAE,EAAE;AAAA,EAAM;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,SAAI,EAAE,EAAE,QAAQ,gCAAgC,KAAG,EAAE,EAAE,QAAQ,OAAO,MAAI,KAAK,uBAAuB,CAAC,GAAE,MAAI,eAAa,KAAG;AAAK,YAAM,IAAI,MAAM,uEAAuE;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,QAAQ,IAAI,GAAE,EAAC,OAAMA,KAAE,OAAM,GAAE,QAAO,GAAE,OAAM,GAAG,QAAO,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,QAAQ,IAAI,CAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,QAAQ,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,KAAK,uBAAuBA,GAAC,GAAE,MAAI;AAAY,YAAM,IAAI,MAAM,uEAAuE;AAAE,SAAK,QAAQ,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAOA,KAAE,OAAM,GAAG,QAAO,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,8BAA8B,GAAE;AAAC,SAAK,YAAY,EAAE,MAAM;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,oBAAmB,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,SAAS,EAAE,MAAM;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,aAAO,KAAK,qBAAqB,CAAC;AAAE,QAAG,MAAI;AAAS,aAAO;AAAE,QAAI,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,EAAE,IAAI;AAAG,QAAI;AAAE,QAAG,MAAI,aAAY;AAAC,UAAI,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC;AAAM,UAAE,KAAK,qBAAqB,CAAC;AAAE,WAAO,MAAI,KAAK,kBAAgB,EAAE,IAAI,IAAE,IAAG,KAAK,qBAAqB,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,KAAK,YAAY,IAAI,CAAC,GAAE;AAAC,UAAI,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,aAAO,IAAI,QAAQ,OAAG,EAAE,KAAK,CAAC,CAAC;AAAA,IAAC;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,OAAM,GAAE,oBAAmB,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,KAAK,EAAE,MAAM;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,aAAO,KAAK,qBAAqB,CAAC;AAAE,QAAG,EAAE,EAAE,QAAQ,OAAO,KAAG,CAAC,EAAE,EAAE,QAAQ,8BAA8B,KAAG,EAAE,EAAE,UAAU,eAAe,MAAI;AAAE,YAAM,IAAI,MAAM,8FAA8F;AAAE,QAAI,IAAE,MAAK;AAAE,QAAG,MAAI,eAAa,EAAE,EAAE,IAAI,wBAAwB,GAAE;AAAC,UAAE,KAAK,OAAO,CAAC;AAAE,UAAI,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAE,KAAK,MAAM,wBAAwB,EAAE,QAAQ,SAAQ,GAAG,GAAG,CAAC,CAAC;AAAA,IAAC;AAAC,SAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,MAAI,eAAa,MAAM,KAAK,MAAM,sBAAsB;AAAE,QAAI;AAAE,QAAG,MAAI,aAAY;AAAC,UAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAK,EAAE,KAAK,MAAM,GAAE,KAAK,KAAK,EAAE,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC,WAAS,KAAG;AAAK,UAAE,KAAK,qBAAqB,CAAC;AAAA,SAAM;AAAC,UAAI,IAAE,EAAE,cAAc,CAAC;AAAE,UAAE,KAAK,MAAM,gCAAgC,GAAE,CAAC;AAAA,IAAC;AAAC,QAAG,KAAG,QAAM,KAAK,8BAA8B,CAAC,GAAE,KAAG,MAAK;AAAC,UAAI,IAAE,KAAK,MAAM;AAAG,SAAG,GAAE,MAAI,EAAE,aAAa,CAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,KAAK,qBAAqB,GAAE,CAAC,GAAE,IAAE,KAAK,YAAY,IAAI,CAAC;AAAE,WAAO,KAAK,YAAY,OAAO,CAAC,GAAE,EAAE,QAAQ,OAAG,EAAE,CAAC,CAAC,GAAE,KAAK,gBAAgB,IAAI,CAAC,MAAI,KAAK,gBAAgB,OAAO,CAAC,GAAE,KAAK,YAAY,CAAC,KAAG,GAAG,EAAE,aAAa,GAAE,IAAI,GAAE,KAAK,mBAAkB;AAAA,EAAC;AAAA,EAAC,UAAU,GAAEA,MAAE,CAAC,GAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,GAAE,SAAQ,EAAC,IAAE;AAAE,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,uDAAuD;AAAE,QAAG,KAAG,MAAK;AAAC,UAAI;AAAE,UAAE,IAAE,IAAI,GAAG,GAAE,EAAE,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE;AAAE,UAAI,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,UAAU,GAAEA,GAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAG,KAAG;AAAK,YAAM,KAAG,OAAK,IAAI,MAAM,gCAAgC,IAAE,IAAI,MAAM,iCAAiC;AAAE,QAAI,IAAE,KAAK,OAAO,GAAEA,IAAE,cAAc,GAAE,IAAE,GAAG,EAAE,yBAAyB,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,WAAO,OAAO,OAAO,EAAC,WAAU,EAAC,GAAE,EAAE,OAAO;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,uBAAuB,GAAE;AAAC,QAAG,KAAG;AAAK,eAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA,OAAI;AAAC,YAAI,IAAE,EAAEA,GAAC;AAAE,YAAG,CAAC,GAAG,CAAC;AAAE,gBAAM,EAAE,EAAE,QAAQ,8BAA8B,IAAE,MAAM,aAAa,gJAAgJ,IAAE,MAAM,aAAa,yCAAyC;AAAA,MAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAE;AAAC,QAAG,EAAC,OAAMA,KAAE,OAAM,GAAE,UAAS,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,IAAE,EAAE,cAAcA,GAAC;AAAE,QAAG,EAAE,EAAE,QAAQ,8BAA8B,GAAE;AAAC,UAAI,IAAE,KAAK,OAAO,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,KAAK,MAAM,gCAAgC,EAAE,QAAQ,SAAQ,GAAG,GAAGA,GAAC,CAAC,EAAE,SAAS,GAAE,CAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,YAAY,KAAG,MAAI,MAAG,IAAE,IAAE,GAAGA,GAAC,IAAEA,KAAE,IAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,CAAC,GAAE,SAAS,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,KAAK,MAAM,gDAAgD,EAAE,QAAQ,SAAQ,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,CAAC,EAAE,SAAS,GAAE,CAAC;AAAE,WAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,iBAAgB;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE;AAAA,EAAC;AAAA,EAAC,KAAK,GAAE;AAAC,QAAIA,MAAE,KAAK,cAAa,IAAE,CAAC,GAAE,IAAE;AAAG,SAAK,sBAAoB,QAAM,KAAK,qBAAmB,GAAE,IAAE,QAAI,KAAK,aAAa,KAAK,CAAC,GAAE,KAAK,eAAa,GAAE,EAAE;AAAE,QAAI,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,KAAK,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI,GAAE,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,IAAI,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI;AAAE,SAAK,eAAaA,KAAE,MAAI,KAAK,qBAAmB;AAAM,QAAI,IAAE,EAAC,cAAa,KAAK,cAAa,gBAAe,KAAK,gBAAe,UAAS,MAAK,QAAO,KAAI;AAAE,YAAO,YAAS;AAAC,UAAG,EAAE,EAAE,UAAU,+CAA+C,IAAE,GAAE;AAAC,YAAI,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,UAAE,WAAS,EAAE,IAAI,CAAC,GAAE,EAAE,sBAAoB,MAAI,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,MAAK,EAAE,CAAC,GAAE,IAAG,EAAC,EAAE,EAAE,IAAI,OAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI;AAAA,MAAC;AAAM,UAAE,WAAS,EAAC,OAAM,4DAA2D;AAAE,aAAO,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE;AAAA,IAAC,GAAG;AAAA,EAAC;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,OAAG,eAAc,KAAK,eAAc,wBAAuB,KAAK,eAAe,mBAAkB,mBAAkB,KAAK,eAAe,aAAY;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE,IAAE,KAAK,MAAM,WAAW,IAAE,EAAC,SAAQ,EAAE,IAAI,GAAE,OAAM,KAAI;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,EAAE,EAAE,UAAU,+CAA+C,IAAE,KAAG,KAAK,MAAM,SAAS,GAAE,MAAI,EAAE,QAAM,EAAE,IAAI,GAAE;AAAA,EAAE;AAAA,EAAC,MAAM,aAAa,GAAE;AAAC,QAAG,EAAE,EAAE,UAAU,+CAA+C,IAAE;AAAE,aAAO,KAAK,MAAM,uBAAuB,CAAC;AAAE,QAAIA,MAAE;AAAE,WAAOA,IAAE,QAAMA,IAAE;AAAA,EAAO;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,gBAAgB,IAAI,CAAC;AAAE,aAAM;AAAG,QAAG,CAAC,KAAK,QAAQ,IAAI,CAAC;AAAE,aAAM;AAAG,QAAGA,MAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS,IAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,YAAW,CAACA,OAAG,KAAK,QAAQ,IAAI,CAAC,EAAE,WAAS;AAAE,aAAM;AAAG,QAAG,KAAK,YAAY,IAAI,CAAC;AAAE,aAAO,KAAK,gBAAgB,IAAI,CAAC,GAAE,KAAK,kBAAiB;AAAG,SAAK,eAAe,CAAC;AAAE,QAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,WAAO,KAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,GAAE,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,IAAG,KAAK,QAAQ,OAAO,CAAC,GAAE;AAAA,EAAE;AAAA,EAAC,eAAe,GAAE;AAAC,QAAG,EAAC,SAAQA,KAAE,OAAM,GAAE,UAAS,GAAE,OAAM,GAAE,UAAS,GAAE,OAAM,EAAC,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,IAAE,KAAG,EAAE,cAAY,GAAE,IAAE,KAAK,aAAa,IAAI,CAAC;AAAE,QAAE,IAAE,KAAK,aAAa,IAAI,GAAE,IAAE,CAAC,KAAG,KAAK,aAAa,OAAO,CAAC,GAAEA,OAAG,SAAO,KAAK,iBAAe,KAAK,aAAa,GAAE,CAAC,GAAE,KAAK,eAAe,eAAeA,KAAE,GAAE,GAAE,CAAC;AAAI,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC;AAAE,MAAE,UAAQ,MAAK,EAAE,WAAS,MAAK,EAAE,WAAS,OAAG,EAAE,QAAM;AAAA,EAAI;AAAA,EAAC,WAAW,GAAE;AAAC,WAAO,KAAK,YAAY,CAAC,GAAE,KAAK,QAAQ,IAAI,CAAC,EAAE,QAAQ;AAAA,EAAO;AAAA,EAAC,YAAY,GAAE;AAAC,WAAO,KAAK,QAAQ,IAAI,CAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,GAAEA,MAAE,IAAG;AAAC,WAAO,EAAE,EAAE,QAAQ,mBAAmB,KAAG,EAAE,MAAM,OAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,WAAS,QAAM,EAAE,cAAc,EAAE,KAAK,IAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,kBAAiB;AAAC,WAAO,KAAK;AAAA,EAAK;AAAA,EAAC,MAAM,GAAE;AAAC,MAAE,KAAK,uEAAuE;AAAE,QAAIA,MAAE,EAAE,SAAS;AAAE,WAAO,GAAG,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAMA,GAAC,GAAE,IAAE,KAAK,cAAc,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,IAAI,GAAE;AAAC,QAAG,KAAK,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,GAAG,KAAK,QAAQ,IAAI,EAAE,MAAM,EAAE,MAAM;AAAE,aAAO,KAAK,WAAW,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,EAAE,QAAQ,6BAA6B;AAAE,aAAO,KAAK,cAAc,GAAE,IAAG,EAAE,KAAK;AAAE,QAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAE,IAAE,KAAK,cAAcA,KAAE,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAE,yBAAyB,CAAC;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,QAAI;AAAE,QAAGA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAA,IAAC;AAAM,UAAE,KAAK,MAAM,GAAE,GAAEA,GAAC;AAAE,WAAO,KAAK,QAAQ,IAAI,CAAC,EAAE,QAAM,MAAK,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,WAAO,GAAG,EAAE,yBAAyB,KAAK,eAAe,GAAEA,KAAE,CAAC,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAIA,MAAE,IAAI,GAAG,EAAE,KAAK;AAAE,WAAO,KAAK,gBAAgBA,KAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE;AAAG,WAAO,KAAK,gBAAgBA,KAAE,CAAC,CAAC,GAAE,EAAE,OAAM,MAAK,CAAC;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE;AAAC,QAAI,IAAE,CAAC,GAAG,EAAE,KAAK,GAAE,GAAG,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,QAAO,EAAE,OAAM,GAAE,IAAE,CAAC,GAAGA,GAAC,GAAE,GAAG,GAAGA,GAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAMA,KAAE,OAAM,EAAE,MAAK;AAAA,EAAC;AAAA,EAAC,OAAO,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,UAAS,GAAE,OAAM,GAAE,OAAM,EAAC,IAAE;AAAE,QAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAEA,IAAE,CAAC,IAAEA,IAAE,CAAC,IAAE;AAAE,QAAE,OAAO,KAAG,GAAE,MAAI,2GAA2G;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE;AAAE,QAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAE,IAAI,GAAG,CAAC;AAAE,QAAI,IAAE,MAAG,IAAE,CAACA,OAAG,OAAKA,MAAE,GAAG,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAgB,GAAE,CAAC,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,CAAC,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAE,WAAM,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAE,OAAM;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,GAAE;AAAC,QAAI,IAAE,KAAK,eAAe,EAAE,aAAY,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,iBAAe,EAAE,WAAS,OAAI,EAAE,qBAAmB,GAAG,OAAM;AAAC,UAAI,IAAE,KAAG,OAAK,IAAE,GAAG,EAAE,WAAW;AAAE,QAAE,WAAS,EAAE,IAAI,OAAG,IAAE,CAAC;AAAA,IAAC;AAAC,QAAG,EAAE,eAAa,SAAO,EAAE,QAAM,EAAE,cAAa,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,aAAO,EAAE,SAAO,EAAE,uBAAuB,EAAE,OAAM,CAAC,GAAE;AAAE,QAAI,IAAE,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG;AAAC,UAAG,EAAE,UAAQ;AAAY,cAAM,IAAI,MAAM,iIAAiI;AAAE,UAAI,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAG,EAAE,WAAS,MAAK;AAAC,YAAG,CAAC,EAAE,gBAAc,EAAE,cAAc,EAAE,KAAK,KAAG,EAAE,EAAE,UAAU,2BAA2B;AAAE,iBAAM,EAAC,OAAM,EAAE,OAAM,SAAQ,MAAK,WAAU,MAAG,eAAc,EAAE,OAAM;AAAE,UAAE,iBAAe,EAAE,WAAS,MAAG,EAAE,QAAM,EAAE;AAAA,MAAM;AAAC,UAAG,KAAK,YAAY,EAAE,MAAM,GAAE,CAAC,CAAC,EAAE,YAAU,CAAC,CAAC,EAAE;AAAa,YAAE,EAAE,WAAS,KAAK,aAAa,CAAC,IAAE,KAAK,WAAW,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAA,eAAU,EAAE,YAAU,CAAC,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE;AAAC,YAAI,IAAE,GAAE,IAAE,EAAE;AAAM,UAAE,QAAM,EAAE,OAAM,IAAE,KAAK,cAAc,GAAE,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM,GAAE,EAAE,QAAM;AAAA,MAAC;AAAC,aAAM,EAAC,OAAM,EAAE,OAAM,SAAQ,GAAE,WAAU,MAAE;AAAA,IAAC,CAAC;AAAE,SAAK,YAAY,EAAE,MAAM;AAAE,QAAI,IAAE,EAAC,OAAM,EAAE,OAAM,SAAQ,GAAE,WAAU,MAAE,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,KAAK,iBAAiB,GAAE,MAAI,GAAG,KAAK,OAAM,GAAE,GAAE,CAAC,CAAC,GAAE,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,KAAK,WAAW,IAAG,EAAE,EAAE,IAAI,qBAAqB,KAAG,GAAG,KAAK,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,QAAQ,OAAG,KAAK,8BAA8B,CAAC,CAAC,GAAE,MAAI,IAAE,KAAK,SAAS,CAAC,GAAE,KAAK,aAAa,KAAK,EAAC,MAAK,EAAE,YAAY,MAAK,OAAM,KAAK,aAAa,CAAC,EAAC,CAAC;AAAG,QAAI,IAAE,EAAE,EAAE,IAAI,uBAAuB;AAAE,QAAG,IAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI;AAAE,UAAE,KAAK,kBAAgB,MAAI,KAAK,MAAM,GAAG,MAAM,GAAE,KAAK,kBAAgB;AAAA,IAAE;AAAC,QAAG,CAAC,EAAE,EAAE,QAAQ,qBAAqB,KAAG,EAAE,YAAU,MAAI,OAAG;AAAC,UAAI,IAAE,KAAK,aAAa,CAAC;AAAE,aAAO,KAAK,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG;AAAC,WAAO,IAAE,KAAGA,IAAE,CAAC,EAAE,OAAM,KAAK,gBAAgB,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE;AAAC,WAAO,KAAK,KAAK,gBAAc,KAAK,YAAY,CAAC,IAAEA,IAAE,IAAG,KAAK,YAAY,CAAC;AAAA,EAAC;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,UAAS;AAAC,SAAK,aAAW,EAAE,EAAE,QAAQ,SAAS,KAAG,OAAO,KAAK,KAAK,WAAW,EAAE,QAAQ,CAAAA,QAAG;AAAC,WAAK,MAAM,cAAc,KAAK,YAAYA,GAAC,EAAE,YAAY,GAAE,OAAO,KAAK,YAAYA,GAAC;AAAA,IAAC,CAAC,GAAE,KAAK,eAAe,QAAQ,GAAE,KAAK,UAAQ,QAAM,OAAO,qBAAmB,eAAa,KAAK,kBAAkB,oBAAkB,KAAK,OAAO,OAAO,IAAE,KAAK,SAAO,MAAK,KAAK,wBAAsB,KAAK,MAAM,UAAQ,MAAK,KAAK,MAAM,QAAQ,IAAG,KAAK,WAAS;AAAA,EAAG;AAAA,EAAC,iBAAgB;AAAC,WAAO,KAAK,uBAAqB,SAAO,KAAK,sBAAoB,GAAG,MAAI;AAAC,UAAG,CAAC,EAAE,EAAE,IAAI,8BAA8B,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE,QAAQ,OAAO;AAAE,UAAE,EAAE,IAAI,SAAQ,KAAE;AAAE,YAAIA,MAAE,KAAK,IAAI,GAAG,IAAI,CAAC,EAAE,SAAS,EAAE,CAAC;AAAE,YAAG,EAAE,EAAE,IAAI,SAAQ,CAAC,GAAEA,MAAE;AAAE,iBAAO;AAAA,MAAE;AAAC,aAAO;AAAA,IAAE,CAAC,IAAG,KAAK;AAAA,EAAmB;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,eAAe,MAAI,KAAG,KAAG;AAAA,EAAE;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,GAAE,SAAQ,GAAE,OAAM,GAAE,UAAS,EAAC,IAAEA;AAAE,QAAG,KAAG;AAAK;AAAO,QAAI,IAAE,KAAK,gBAAc,MAAK;AAAE,UAAI,IAAE,EAAE,IAAI;AAAG,QAAI,IAAEA,IAAE;AAAS,QAAG,KAAG,SAAO,IAAE,GAAG,GAAE,CAAC,GAAEA,IAAE,WAAS,IAAG,KAAG,MAAK;AAAC,UAAI,IAAE,GAAG,CAAC,GAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,aAAa,cAAY,aAAa;AAAkB,OAAC,KAAG,CAAC,OAAK,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,IAAG,IAAE,IAAE,IAAI,GAAG,GAAE,CAAC,IAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,UAAI,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAK,eAAe,GAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,UAAE,EAAE,QAAM,GAAG,SAAO,EAAE,QAAM,GAAG,QAAO,EAAE,WAAS,GAAE,KAAK,MAAM,2BAA2B,KAAK,WAAW,EAAE,MAAM,GAAE,GAAE,GAAE,CAAC;AAAE,UAAI,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,MAAG,IAAE,KAAK,gBAAgB,GAAE,CAAC,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,KAAK,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAAA,IAAE,WAAS,EAAE,UAASA,IAAE,WAAS,EAAE,UAASA,IAAE,QAAM,EAAE,OAAM,EAAE,EAAE,IAAI,qBAAqB,IAAE,KAAK,YAAY,EAAE,MAAM,KAAGA,IAAE,UAAQ,EAAE,SAAQA,IAAE,SAAO,MAAK,KAAK,QAAQ,OAAO,EAAE,MAAM,IAAG,KAAK,8BAA8B,CAAC,GAAE,MAAI,KAAK,gBAAc,EAAE,IAAI,IAAE;AAAA,IAAE,OAAK;AAAC,UAAI,IAAE,KAAK,eAAe,GAAE,GAAE,GAAE,CAAC;AAAE,MAAAA,IAAE,UAAQ;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,QAAQ,IAAI,CAAC,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,WAAOA,OAAG,SAAO,EAAE,SAAO,GAAGA,KAAE,CAAC,IAAG,EAAE;AAAA,EAAM;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAG,KAAK,iBAAe,KAAK,aAAa,GAAE,CAAC,GAAE,CAAC,KAAK,qBAAmB,KAAK,gBAAc,KAAK,qBAAmB,OAAK,MAAK;AAAC,UAAI,KAAG,KAAK,gBAAc,OAAK,MAAM,QAAQ,CAAC;AAAE,WAAK,oBAAkB,MAAG,QAAQ,KAAK,6BAA6B,wCAAwC;AAAA,IAAC;AAAC,WAAO,KAAK,eAAe,eAAe,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAEA,KAAE;AAAC,WAAO,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,gBAAgBA,GAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,aAAO,CAAC,EAAC,CAAC,KAAI,OAAO,QAAQ,KAAK,WAAW;AAAE,WAAK,iBAAiB,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,8BAA6B;AAAC,QAAI,IAAE,CAAC;AAAE,QAAG,KAAK,MAAM,8BAA6B;AAAC,eAAO,CAAC,EAACA,GAAC,KAAI,OAAO,QAAQ,KAAK,WAAW;AAAE,UAAE,KAAK,KAAK,sBAAsBA,GAAC,CAAC;AAAE,aAAO,QAAQ,IAAI,CAAC;AAAA,IAAC,OAAK;AAAC,eAAO,CAAC,EAACA,GAAC,KAAI,OAAO,QAAQ,KAAK,WAAW,GAAE;AAAC,YAAI,IAAE,IAAI,QAAQ,OAAG;AAAC,cAAG;AAAC,iBAAK,iBAAiBA,GAAC,GAAE,EAAE,IAAE;AAAA,UAAC,SAAO,GAAN;AAAS,kBAAM;AAAA,UAAC;AAAA,QAAC,CAAC;AAAE,UAAE,KAAK,CAAC;AAAA,MAAC;AAAC,aAAO,QAAQ,IAAI,CAAC;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,MAAM,sBAAsB,GAAE;AAAC,WAAO,KAAK,MAAM,GAAG,oBAAoB,EAAE,cAAa,KAAK,MAAM,6BAA6B,qBAAqB,IAAE,KAAK,iBAAiB,CAAC,KAAG,MAAM,GAAG,GAAE,KAAK,sBAAsB,CAAC;AAAA,EAAE;AAAA,EAAC,iBAAiB,GAAE;AAAC,QAAG,KAAK,MAAM,GAAG,oBAAoB,EAAE,cAAa,KAAK,MAAM,GAAG,WAAW,MAAI;AAAG,YAAM,QAAQ,IAAI,KAAK,MAAM,GAAG,kBAAkB,EAAE,YAAY,CAAC,GAAE,KAAK,MAAM,GAAG,mBAAmB,EAAE,gBAAe,KAAK,MAAM,GAAG,cAAc,MAAI,SAAI,GAAG,EAAE,QAAO,KAAK,MAAM,GAAG,iBAAiB,EAAE,cAAc,CAAC,GAAE,IAAI,MAAM,oCAAoC,KAAG,IAAI,MAAM,6CAA6C;AAAE,WAAM;AAAA,EAAE;AAAA,EAAC,sBAAqB;AAAC,aAAQ,KAAK,OAAO,OAAO,KAAK,WAAW,GAAE;AAAC,WAAK,MAAM,SAAS,EAAE,YAAY;AAAE,UAAG,EAAC,oBAAmBA,KAAE,wBAAuB,GAAE,QAAO,GAAE,QAAO,GAAE,kBAAiB,GAAE,yBAAwB,GAAE,qBAAoB,EAAC,IAAE,GAAG,KAAK,OAAM,EAAE,SAAQ,EAAE,YAAY;AAAE,QAAE,qBAAmBA,KAAE,EAAE,yBAAuB,GAAE,EAAE,SAAO,GAAE,EAAE,SAAO,GAAE,EAAE,mBAAiB,GAAE,EAAE,0BAAwB,GAAE,EAAE,sBAAoB;AAAA,IAAC;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,MAAE,WAAS,EAAE,YAAU;AAAO,QAAG,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,GAAG,EAAE;AAAQ,QAAG,CAAC,EAAE,MAAM,GAAG,UAAU,CAAC;AAAE,YAAM,IAAI,MAAM,+RAA+R;AAAE,QAAI,IAAE,EAAE,aAAa,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAO,GAAG,EAAE,qBAAqB,GAAEA,KAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAE,GAAG,aAAW;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI;AAAY,WAAO;AAAE,MAAG,MAAI,WAAS,MAAI,QAAO;AAAC,QAAIA,MAAE,MAAI,UAAQ,IAAI,WAAW,EAAE,MAAM,IAAE,IAAI,WAAW,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,EAAE;AAAE,MAAAA,IAAE,CAAC,IAAE,KAAK,MAAM,EAAE,CAAC,CAAC;AAAE,WAAOA;AAAA,EAAC;AAAM,UAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,IAAI,KAAG;AAAQ,SAAS,KAAI;AAAC,IAAE,EAAE,IAAI,4BAA2B,IAAE;AAAC;AAAC,GAAG,UAAU,KAAG,GAAG,SAAQ,MAAI,IAAI,MAAG,CAAC;AAAE,IAAI,MAAI,EAAC,gBAAe,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAGlviB,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA,UAE3K;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQL;AAAC;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAKb,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,uBAAqB,MAAG,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC;AAAE,QAAI,IAAE,KAAK,YAAY;AAAO,SAAK,sBAAoB,GAAG,CAAC;AAAE,QAAI,IAAE;AAAG,QAAG;AAAE,UAAG,MAAI,KAAG,EAAE,cAAc,KAAK,WAAW,MAAI;AAAE,YAAE;AAAA;AAAA;AAAA;AAAA;AAAA,eAIzS,IAAE;AAAA,YACR,GAAG,CAAC;AAAA,WACN,MAAI;AAAE,aAAK,sBAAoB,KAAG;AAAA;AAAA;AAAA;AAAA,cAIhC,KAAG;AAAA,yCAC0B,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA;AAAA,WAG3C;AAAC,YAAI,IAAE,GAAG,UAAS,CAAC;AAAE,aAAK,sBAAoB,KAAG;AAAA;AAAA,iBAEjD,EAAE,IAAE,CAAC,sBAAsB;AAAA;AAAA,iBAE3B,EAAE,IAAE,CAAC,sBAAsB;AAAA;AAAA;AAAA;AAAA,cAIhC,KAAG;AAAA;AAAA,iBAEE,EAAE,IAAE,CAAC,aAAa,KAAK,YAAY,IAAE,CAAC;AAAA;AAAA,iBAEtC,EAAE,IAAE,CAAC,aAAa,KAAK,YAAY,IAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA,MAI5C;AAAC,SAAK,WAAS;AAAA;AAAA,UAEhB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAQA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,SAAOA,IAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAsC,KAAG;AAAA;AAAA;AAAA;AAGngB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAsC,KAAG;AAAA;AAAA;AAAA;AAGha,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAA0B,SAAS,GAAG,EAAC,WAAU,GAAE,iBAAgB,GAAE,eAAcA,KAAE,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,KAAG,EAAE;AAAM,QAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,KAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,EAAE,QAAO,CAAC;AAAE,aAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,KAAG,KAAG,MAAK;AAAE,WAAO,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,EAAC,WAAU,GAAE,iBAAgB,GAAE,kBAAiBA,MAAE,OAAG,iBAAgB,IAAE,OAAG,eAAc,GAAE,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAG,KAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,GAAE,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAI,OAAG;AAAC,YAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,eAAO,EAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAA,MAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAG,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAI,EAAE,UAAQ,YAAU,EAAE,UAAQ,YAAU,EAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,MAAI,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,aAAO,EAAE,SAAO,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,8BAA8B,KAAG,KAAG,MAAK;AAAE,WAAO,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,OAAMA,GAAC,IAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK,GAAE,EAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAG;AAAC,MAAG,MAAI;AAAS,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAO,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAM,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAQ,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAQ,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAY,WAAO,IAAE,KAAG;AAAG,MAAG,MAAI;AAAU,WAAO,IAAE,KAAG;AAAG,QAAM,IAAI,MAAM,cAAc,mDAAmD;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,SAAS,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,KAAK,KAAK,IAAE,CAAC,GAAE,IAAE,IAAE,gBAAc,eAAc,IAAE,IAAE,gBAAc,eAAc,IAAE,IAAE,CAAC,UAAS,QAAQ,IAAE,CAAC,UAAS,QAAQ,GAAE,IAAE,IAAE,CAAC,UAAS,QAAQ,IAAE,CAAC,UAAS,QAAQ,GAAE,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAE1kF;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA,YACD;AAAA,YACD,IAAE;AAAgC,QAAI,IAAE,IAAE,oCAAkC;AAAG,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB;AAAE,QAAI,IAAE,QAAO,IAAE;AAAO,MAAE,CAAC,IAAEA,IAAE,CAAC,IAAE,IAAE,cAAc,EAAE,CAAC,OAAKA,IAAE,CAAC,IAAE,EAAE,CAAC,MAAI,IAAE,cAAcA,IAAE,CAAC,OAAM,KAAK,WAAS;AAAA,QAClU;AAAA;AAAA,sCAE8B;AAAA;AAAA;AAAA;AAAA,uBAIf;AAAA,uBACA;AAAA,8BACO;AAAA,wCACU;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA,uBAIjB,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA,uBACb,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAS1B;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,IAAI,KAAG,EAAC,MAAK,yCAAwC,MAAK,wCAAuC;AAAjG,IAAmG,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,SAAQ,OAAO,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA,UAGnP;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUL;AAAC;AAAE,IAAI,KAAG;AAAgB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,IAAI,GAAG,GAAG,MAAK,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAG,MAAK,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,QAAO,EAAE,QAAO,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,CAAC,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,SAAO,GAAE;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,GAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAG,EAAE,KAAK,GAAE,GAAG,GAAG,EAAE,KAAK,CAAC,GAAE,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,QAAO,EAAE,OAAM,GAAE,IAAE,CAAC,GAAG,CAAC,GAAE,GAAG,GAAG,CAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF;AAAE,MAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,EAAE,YAAU,CAAC,GAAG,EAAE,OAAM,CAAC,KAAG,EAAE,EAAE,YAAU,QAAM,GAAG,EAAE,OAAM,CAAC,KAAG,GAAG,GAAE,GAAE,CAAC,KAAG,EAAE,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAE;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,QAAO,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAiC,QAAGA,OAAG,MAAK;AAAC,UAAI,IAAE,IAAEA;AAAE,UAAE,4BAA4B,EAAE,MAAM,CAAC,IAAE,EAAE,YAAY,CAAC,IAAE;AAAA,IAAW;AAAC,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACtvE;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,UAIb;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA;AAAA;AAAA,8BAIJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASlB;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA;AAAA;AAAA,YAGN;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA,YAKb;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAMb;AAAA;AAAA;AAAA;AAAA;AAAA,EAIP;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,QAAO,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,OAAM,IAAE;AAAG,IAAAA,QAAI,SAAO,IAAE,QAAMA,QAAI,SAAO,IAAE,eAAc,IAAE,SAAOA,QAAI,UAAQ,IAAE,gBAAe,IAAE;AAAO,QAAI,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,QAAM,IAAE,aAAWA,QAAI,SAAO,IAAE,cAAYA,QAAI,QAAM,IAAE,aAAWA,QAAI,UAAQ,IAAE;AAAY,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YACrcA,QAAI;AAAA;AAAA,mBAEGA,QAAI;AAAA;AAAA;AAAA;AAAA,wBAIC;AAAA,cACVA,QAAI,YAAYA,QAAI;AAAA,0BACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,OAOpB,IAAE;AAAO,IAAAA,QAAI,SAAO,IAAE,OAAM,IAAE;AAAA;AAAA;AAAA;AAAA,SAI5B,IAAE,WAASA,QAAI,UAAQ,IAAE,OAAM,IAAE;AAAA;AAAA;AAAA;AAAA,SAIjC,IAAE;AAAS,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACF;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA,0CACmB;AAAA;AAAA;AAAA;AAAA,UAIhC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAQwB;AAAA;AAAA,kCAEA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMJ;AAAA;AAAA,YAElB,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA,YACN,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA,qBACS,MAAI;AAAA,YACb,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA,qBACS,MAAI;AAAA,YACb,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAOd;AAAA;AAAA,oBAEQ;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,CAAC;AAAE,SAAK,EAAE,WAAS,KAAG,EAAE,EAAE,SAAO,CAAC,EAAE,YAAU,KAAG;AAAC,QAAIA,MAAE,EAAE,SAAO,EAAE,EAAE,SAAO,CAAC,EAAE,UAAQ,EAAE,CAAC,GAAE,IAAE,EAAE,yBAAyBA,GAAC;AAAE,MAAE,KAAK,EAAC,QAAOA,KAAE,YAAW,GAAE,SAAQ,KAAK,KAAKA,MAAE,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAG,EAAC,QAAO,GAAE,YAAW,GAAE,SAAQ,EAAC,IAAE,EAAE,CAAC,GAAE,GAAE;AAAE,IAAAA,QAAI,SAAO,IAAE,MAAI,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,GAAE,CAAC,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,CAAC,IAAE,IAAE,IAAI,GAAG,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,EAAE,MAAM,CAAC,GAAE,SAAQ,EAAC,GAAEA,GAAC,GAAE,IAAE,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC,GAAE,EAAE,WAAS,EAAE,UAAQ,EAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAGA,GAAC;AAAE,SAAK,WAAS;AAAA;AAAA,QAEv0B;AAAA,uBACe;AAAA;AAAA;AAAA,EAElB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,sBAAsB,wBAAwB;AAAE,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,EAAE,CAAC,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,QAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,OAAK;AAAE,YAAM,MAAM,6BAA6B,KAAK,4BAA4B;AAAE,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,MAAK,KAAK,IAAI,GAAE,IAAE,IAAI,MAAM,KAAK,IAAI;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,QAAEA,IAAE,CAAC,CAAC,IAAE,EAAE,CAAC;AAAE,QAAI,IAAE,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,KAAK,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC,KAAI,IAAE,mBAAmB,EAAE,KAAK,OAAO;AAAK,SAAK,WAAS;AAAA;AAAA,QAE9vB;AAAA;AAAA,oBAEY;AAAA,WACT;AAAA,sBACW;AAAA;AAAA,UAEZ,EAAE,KAAK,OAAK,CAAC;AAAA,aACV,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,sBACxB;AAAA,aACT;AAAA,wBACW;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKnB;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE;AAAE,QAAI,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,EAAAA,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE,KAAG,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAI;AAAE,MAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,QAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,QAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,SAAO;AAAA,EAAC;AAAM,QAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAI,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,KAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,KAAG,OAAK,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,KAAG,KAAG,KAAG,KAAG,MAAK;AAAE,OAAI,MAAI,KAAG,MAAI,MAAI,IAAE,MAAI,MAAI,OAAG;AAAC,QAAI,IAAE,GAAE,IAAE;AAAE,IAAAA,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,QAAI,KAAG,MAAI,GAAE,KAAG,MAAI,GAAE,KAAG;AAAE,WAAK,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,EAAE;AAAG,QAAI,KAAG,MAAI,IAAE,IAAE,GAAE,KAAG;AAAE,WAAK,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,EAAE;AAAG,QAAI,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,IAAG,GAAE,GAAE,GAAE,SAAQ,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,IAAG,UAAS,KAAE,EAAC,CAAC,GAAE,EAAE,KAAK,EAAE;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,GAAE,CAAC,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,CAAC,GAAE,CAAC;AAAE,QAAG,KAAG,QAAM,GAAG,KAAK,CAAC,GAAE,KAAG,GAAG,KAAK,CAAC,GAAE,GAAE;AAAC,UAAI,KAAG,EAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,SAAG,KAAK,EAAE,GAAE,EAAE,KAAK,EAAE;AAAA,IAAC;AAAC,QAAE,EAAE,gBAAgB,GAAE,IAAG,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAiB,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAV,IAK1tH,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AALssH,IAKpsH,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEzC,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFqB,IAEnB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAuB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,iBAAgB,MAAG,eAAc,GAAE,CAAC;AAAlG,IAAoG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,gBAAcA,IAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,UAAU,UAAU,iBAAiB;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,SAAK,WAAS;AAAA;AAAA,UAEvgB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,yBAEgB;AAAA;AAAA;AAAA;AAAA,EAGpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,gBAAcA,IAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,SAAS,UAAU,iBAAiB;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,SAAK,WAAS;AAAA;AAAA,UAEhT,EAAE,KAAK;AAAA,SACR;AAAA;AAAA,wBAEe;AAAA;AAAA;AAAA;AAAA,EAGnB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,SAAO,EAAE,EAAE,IAAI,8BAA8B,GAAE;AAAC,QAAI,IAAE,KAAK,MAAM,EAAE,SAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAE,MAAM,GAAE,CAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAE,MAAM,CAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,CAAC,GAAE,CAAC,GAAE,SAAQA,IAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,CAAC,GAAE,MAAI,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,EAAE,EAAE,QAAQ,YAAY,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAG,EAAC,YAAW,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAG,KAAK,cAAc,KAAK,cAAc,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAEA,QAAI,QAAM,MAAI,KAAI,IAAE,IAAE,kBAAgB;AAA+C,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKtuE;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKJ;AAAA,wBACN;AAAA;AAAA,0BAEE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,EAAE,OAAO,EAAE,SAAO,GAAE,MAAI,aAAa,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,2CAA2C;AAAE,QAAI,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,KAAK,KAAK,IAAEA,GAAC;AAAE,SAAK,cAAY,EAAE,MAAM,GAAE,EAAE,GAAE,IAAE,KAAG,KAAK,YAAY,KAAK,CAAC,GAAE,KAAG,KAAK,cAAc,KAAK,cAAc;AAAE,QAAI,IAAE,KAAK,aAAY,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,GAAE;AAAE,QAAG,MAAI,GAAE;AAAC,UAAE,IAAE;AAAE,UAAI,IAAE,GAAG,CAAC;AAAE,UAAE;AAAA,UAClc,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,UACP,kBAAkB,KAAK,EAAE,KAAK;AAAA,YAC5B,EAAE,IAAE,CAAC;AAAA,IAAI;AAAM,UAAE,GAAE,IAAE;AAAA,UACvB;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAA,UACP;AAAA,YACE,EAAE,IAAE,CAAC;AAAK,QAAI,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,MAAI,EAAE,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,SAAO,CAAC,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,GAAG,cAAa,IAAE,CAAC,EAAE,OAAO,SAAS,GAAE,IAAE,MAAI,QAAM,gBAAc,YAAW,IAAE,IAAE,KAAG;AAAA,sDAC7P,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK;AAAA,sDACP,EAAE,KAAK,SAAQ,IAAE;AAAA,0BAC7C,EAAE,KAAK;AAAA,uCACM,EAAE,KAAK;AAAA,uCACP,EAAE,KAAK;AAAA,qDACO,EAAE,KAAK,YAAW,IAAE,IAAE,KAAG;AAAA,qCACzC,EAAE,KAAK;AAAA,4CACA,EAAE,KAAK;AAAA,iDACF,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AACzD,SAAK,WAAS;AAAA,0BACG,EAAE,KAAK;AAAA,iCACA,EAAE,KAAK;AAAA,sCACF,EAAE,MAAM,EAAE,EAAE,KAAK;AAAA;AAAA,QAE/C;AAAA;AAAA,UAEE;AAAA,4BACkB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC,IAAE;AAAA,4BACnB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC,IAAE;AAAA,UACrC;AAAA,yCAC+B,gBAAgB;AAAA,sBACnC,gBAAgB,QAAQA;AAAA;AAAA;AAAA,2BAGnB;AAAA;AAAA,8BAEGA;AAAA;AAAA,YAElB;AAAA,6BACiB;AAAA;AAAA;AAAA,mBAGV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWd;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK;AAAC,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,OAAG,SAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,EAAE,yBAAyB,CAAC,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,SAAQ,KAAK,KAAK,IAAE,CAAC,EAAC,GAAE,IAAE,IAAI,GAAG,GAAEA,KAAE,KAAG,IAAI,GAAE,IAAE,CAAC,CAAC;AAAE,OAAG,QAAM,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,GAAE,GAAE,OAAO;AAAE,MAAG,EAAE,MAAM,CAAC,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,MAAK;AAAC,MAAI,IAAE,KAAG,OAAK,EAAE,QAAM,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,yBAAyB,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,KAAG,IAAI,GAAE,IAAE,KAAG,OAAK,CAAC,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,GAAE,GAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,KAAE,CAAC;AAAE,WAAO,EAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,CAACA,GAAC;AAAE,MAAG,EAAE,2BAA2B,QAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,GAAE,EAAE,MAAM,MAAM,GAAE,CAAC,EAAE,EAAE,QAAQ,mBAAmB,KAAG,EAAE,MAAM,UAAQ,GAAE;AAAC,QAAI,IAAE,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,MAAI,QAAM,EAAE,UAAS,IAAE;AAAE,UAAI,IAAE,EAAE,aAAa,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAG,EAAE,8BAA8B,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO,GAAG,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,GAAGA,KAAE,GAAE,EAAE,CAAC,GAAE,KAAK;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,GAAGA,KAAE,GAAE,EAAE,CAAC,GAAE,KAAK;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAV,IAK3lE,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AALukE,IAKrkE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAV,IAA+C,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAAnE,IAAqE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAErM,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAFiL,IAE/K,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPsE,IAS3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAToC,IASlC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEnD,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAF+B,IAE7B,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAEA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,QAAI,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,cAAY,EAAE;AAAS,QAAI,IAAEA,QAAI,OAAM,IAAE,cAAc,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,kBAAiB,IAAE,SAAS,EAAE,mBAAmB,EAAE,kBAAiB,IAAE;AAAM,QAAG,MAAI,IAAE,iBAAgB,GAAE;AAAC,UAAI,IAAE;AAAK,WAAK,WAAS;AAAA,sCAC3nB,MAAM;AAAA,mCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBP;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUZ;AAAA;AAAA;AAAA,mCAGS,IAAE,IAAE,IAAE,IAAE,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAM3C;AAAA,IAAM;AAAC,QAAI,IAAE,OAAM,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,UAAQ,IAAE;AAA8B,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YAChL;AAAA;AAAA;AAAA,wBAGY;AAAA;AAAA;AAElB,SAAK,WAAS;AAAA,oCACgB,MAAM;AAAA,iCACT,MAAM;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA;AAAA;AAAA,yCAIE;AAAA,6CACI;AAAA,6CACA;AAAA;AAAA;AAAA,cAG/B;AAAA;AAAA;AAAA,gCAGkB;AAAA,gBAChB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAQN;AAAA,uBACS,MAAI;AAAA;AAAA;AAAA,yCAGc;AAAA;AAAA;AAAA;AAAA;AAAA,cAK3B;AAAA,uBACS,MAAI;AAAA;AAAA;AAAA,yCAGc;AAAA,6CACI;AAAA;AAAA;AAAA;AAAA,cAI/B;AAAA;AAAA;AAAA,oBAGM;AAAA;AAAA;AAAA,EAEf;AAAC;AA7IkH,IA6IhH,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAEA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,QAAI,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,cAAY,EAAE;AAAS,QAAI,IAAEA,QAAI,OAAM,IAAE;AAAM,QAAG,MAAI,IAAE,iBAAgB,GAAE;AAAC,UAAI,IAAE;AAAK,WAAK,WAAS;AAAA;AAAA,oBAEre,MAAM,MAAM;AAAA,mCACG,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAkBb;AAAA,sBACZ;AAAA;AAAA;AAAA,kCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,wBACZ;AAAA;AAAA;AAAA,oCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA;AAAA,0BACZ;AAAA;AAAA;AAAA,sCAGY,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAUZ;AAAA;AAAA;AAAA,qCAGS,IAAE,IAAE,cAAc,EAAE,mBAAmB,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,oBAAkB,UAAU,EAAE,oBAAoB,EAAE,mBAAmB,EAAE,oBAAkB,QAAQ,OAAO;AAAA,6BACtM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAOrB;AAAA,IAAM;AAAC,QAAI,IAAE,OAAM,IAAE,GAAGA,OAAKA,OAAKA;AAAsE,IAAAA,QAAI,UAAQ,IAAE;AAA8B,QAAI,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA,YAChL;AAAA;AAAA;AAAA,wBAGY;AAAA;AAAA;AAElB,SAAK,WAAS;AAAA;AAAA,gBAEJ,MAAM,MAAM;AAAA,iCACK,MAAM,MAAM;AAAA,0CACH;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAmBE;AAAA;AAAA;AAAA;AAAA,gCAIF;AAAA,oBACZ;AAAA;AAAA;AAAA,gCAGY,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,oBACd;AAAA;AAAA;AAAA,kCAGc,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,yCACK;AAAA;AAAA;AAAA;AAAA,+CAIM;AAAA,mDACI;AAAA,mDACA;AAAA;AAAA;AAAA,gBAGnC;AAAA;AAAA;AAAA,kCAGkB;AAAA,kBAChB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAQN;AAAA,yBACS,MAAI;AAAA;AAAA;AAAA,+CAGkB;AAAA;AAAA;AAAA;AAAA;AAAA,gBAK/B;AAAA,yBACS,MAAI;AAAA;AAAA;AAAA,+CAGkB;AAAA,mDACI;AAAA;AAAA;AAAA;AAAA,gBAInC;AAAA;AAAA;AAAA;AAAA,oBAII;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,KAAGA,MAAE;AAAG,SAAK,WAAS;AAAA,iCAChnC,MAAM;AAAA,0CACG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcV;AAAA,oBACZ;AAAA,gDAC4B;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,mBACf;AAAA,kDAC+B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAanC;AAAC;AA1C21B,IA0Cz1B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,KAAGA,MAAE,IAAE;AAAG,SAAK,WAAS;AAAA,iCACtX,MAAM,MAAM;AAAA,0CACH;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBV;AAAA,oBACZ;AAAA,gDAC4B;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZ;AAAA,kDAC4B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ;AAAA,wBACZ;AAAA,oDAC4B;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC;AAAE,QAAI,IAAE;AAAM,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,GAAE,IAAE;AAA0B,QAAI,IAAE;AAAM,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,GAAE,IAAE,0BAAyB,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK/pC;AAAA,wBACD;AAAA,2DACmC;AAAA;AAAA;AAAA;AAAA,EAGtD;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC;AAAE,QAAI,IAAE;AAAY,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,GAAE,IAAE;AAA0B,QAAI,IAAE;AAAY,SAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,GAAE,IAAE,0BAAyB,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA,wBAEtc;AAAA,uBACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAMkC;AAAA;AAAA;AAAA;AAAA;AAAA,EAIpD;AAAC;AAAE,IAAI,KAAG,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,MAAK,GAAE,UAAS,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,8EAA8E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,4EAA4E,GAAE,EAAE,OAAO,KAAG,QAAM,EAAE,MAAM,WAAS,EAAE,MAAM,QAAO,MAAI,2EAA2E;AAAE,MAAG,EAAC,iBAAgB,EAAC,IAAEA;AAAE,OAAG,SAAO,IAAE;AAAM,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE,EAAE,EAAE,QAAQ,0BAA0B,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,GAAE,EAAE,CAAC,EAAE,KAAK;AAAC;AAArwB,IAAuwB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAIA,MAAE,GAAG,KAAK,IAAI;AAAE,SAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,YAAW,KAAK,MAAK,MAAK,MAAK,CAAC;AAAE,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,aAAa,GAAG,CAAC,aAAa,eAAe,GAAG,CAAC,IAAI;AAAE,QAAE;AAAA,UACjlCA;AAAA,UACAA;AAAA,UACA,EAAE,KAAK;AAAA,CAChB;AAAA,SACO,KAAK,WAAS;AAAA;AAAA,UAEZ;AAAA,8BACoB;AAAA;AAAA;AAAA,EAEzB;AAAC;AAV8zB,IAU5zB,KAAG,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,KAAG;AAAE,WAAO,GAAG,MAAM,GAAE,CAAC,EAAE,IAAI,OAAG,eAAa,CAAC,EAAE,KAAK,GAAG;AAAE,QAAM,MAAM,oBAAoB,wBAAwB;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,YAAW,KAAK,MAAK,MAAK,MAAK,CAAC;AAAE,QAAIA,MAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,UAAS,KAAK,IAAI,GAAE,IAAE,GAAG,aAAY,KAAK,IAAI,GAAE,IAAE,KAAK,SAAO,IAAE,cAAY,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,wBAAwB,EAAE,KAAK,OAAO,MAAK,IAAE;AAAA,mBACrjB;AAAA,cACL,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,YACnC,EAAE,KAAK,OAAK,CAAC;AAAA,qBACJ;AAAA,YACT,EAAE,KAAK,OAAK,CAAC;AAAA;AAAA,OAEnB,IAAE,KAAK,SAAO,IAAE,KAAG;AAAA,UACf,EAAE,KAAK,OAAK,CAAC;AAAA,cACT,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,YACnC,EAAE,KAAK,OAAK,CAAC;AAAA,qBACJ;AAAA,gBACL,EAAE,KAAK,OAAK,CAAC,OAAO,EAAE,KAAK,OAAK,CAAC;AAAA,cACnC,EAAE,KAAK,OAAK,CAAC;AAAA,uBACJ;AAAA;AAAA;AAAA,OAGjB,IAAE,KAAK,QAAM,IAAE;AAAA,cACPA,OAAK,EAAE,IAAI,CAAC,GAAE,MAAI,SAAS,IAAI,EAAE,KAAK,QAAM,EAAE,IAAI,CAAC,GAAE,MAAI,GAAG,EAAE,CAAC,OAAO,EAAE,CAAC,aAAa,KAAK,EAAE,KAAK;AAAA,CAC/G;AAAE,SAAK,WAAS;AAAA;AAAA,UAEPA;AAAA,UACAA;AAAA,UACA;AAAA;AAAA,UAEA;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,eAAeA,KAAE,EAAE,KAAK,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,OAAO,GAAE,CAAC,GAAE,EAAE,WAAS,GAAE,EAAE,QAAMA,KAAE,EAAE,QAAM,EAAE;AAAM,MAAI,IAAE,GAAG,kBAAkB,GAAE,EAAE,eAAe,EAAE,KAAK,CAAC;AAAE,IAAE,UAAQ,KAAG,EAAE,MAAM,aAAY,EAAE,QAAM,EAAC,YAAW,GAAE,YAAW,EAAE,SAAO,EAAE,MAAM,cAAY,EAAE,OAAM;AAAE,MAAI,IAAE,EAAE,aAAa,IAAI,EAAE,MAAM,UAAU,KAAG;AAAE,SAAO,EAAE,aAAa,IAAI,EAAE,MAAM,YAAW,IAAE,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,MAAG,GAAG,kBAAkB,GAAE,GAAE,CAAC,GAAE,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,QAAO,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAC,UAAS,EAAC,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,iBAAiB,EAAE,OAAM,GAAE,CAAC;AAAE,MAAG,KAAG,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,sEAAsE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAtpB,IAAwpB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,WAAW,KAAK,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG,GAAG,EAAC,WAAU,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAwB,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAE,IAAE,EAAE,gBAAgBA,KAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,QAAO,EAAE,uBAAuB,QAAO,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiC,EAAE,YAAY,GAAG;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAyB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAjF,IAAmF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWnkI;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWnN;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE;AAAE,IAAE,EAAE,QAAQ,iBAAiB,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK;AAAE,MAAI,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAatX;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,GAAG,GAAE,EAAE,mBAAmB,IAAI,GAAE,GAAG,GAAE,EAAE,mBAAmB,IAAI,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,GAAE,EAAE,CAAC,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,cAAY,EAAE,gBAAgB,GAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAIA,MAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,IAAAA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,MAAAA,IAAE,CAAC,IAAEA,IAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC;AAAE,QAAI,IAAE,CAAC,YAAYA,IAAE,CAAC,8BAA8B;AAAE,aAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO,KAAI;AAAC,UAAI,IAAEA,IAAE,IAAE,CAAC;AAAE,QAAE,KAAK,iBAAiBA,IAAE,CAAC,oBAAoB,YAAY,MAAM;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,QAAO,IAAEA,IAAEA,IAAE,SAAO,CAAC;AAAE,MAAE,KAAK,sBAAsB,YAAY,MAAM,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAM/xB,EAAE,KAAK;AAAA,SACR;AAAA;AAAA;AAAA,EAEJ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,EAAE,gBAAgB,GAAEA,GAAC;AAAE,QAAI,IAAE,KAAK,aAAY,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG,EAAE,MAAM,GAAE,CAAC;AAAE,SAAK,gBAAc,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,MAAE,CAAC,IAAE,EAAE,CAAC,EAAEA,GAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAEA,GAAC;AAAE,QAAI,IAAE,EAAEA,GAAC,GAAE,IAAE,EAAE,MAAM,EAAE,GAAE,IAAE,EAAE,KAAK,GAAE,IAAE,OAAO,OAAO,EAAE,CAAC;AAAA;AAAA,oBAElZ,YAAY,EAAE,KAAK;AAAA;AAC5B,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,IAAE,CAAC;AAAE,WAAG;AAAA,cACzC,OAAO,EAAE,CAAC,SAAS,QAAQ,EAAE,IAAE,CAAC;AAAA;AAAA,kBAE5B,KAAK,GAAG,GAAE,GAAE,CAAC;AAAA,mBACZ,GAAG,GAAE,GAAE,CAAC;AAAA;AAAA,IACjB;AAAC,QAAI,IAAE,EAAE,QAAO,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,SAAG;AAAA;AAAA,gBAE7B,KAAK,GAAG,GAAE,GAAE,CAAC;AAAA,iBACZ,GAAG,GAAE,GAAE,CAAC,QAAO,KAAK,WAAS;AAAA,uBACvB,EAAE,IAAI,OAAG,SAAO,CAAC;AAAA,UAC9B;AAAA;AAAA;AAAA;AAAA,UAIA;AAAA,sCAC4B;AAAA;AAAA,UAE5B,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA,UAGtB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA,UAGtB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACb,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,cACjB,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAA,gCACC;AAAA;AAAA;AAAA;AAAA;AAAA,EAI3B;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAQ,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,GAAE,MAAI,MAAI,IAAE,GAAG,OAAOA,QAAI,CAAC,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,EAAE;AAAM,MAAG,MAAI,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,mBAAmB,CAAC;AAAE,MAAG,MAAI,aAAW,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,KAAG,EAAE,CAAC,EAAE,MAAM,SAAO;AAAE,MAAG,EAAE,WAAS,GAAE;AAAC,QAAI,IAAE,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE,IAAE,IAAI,GAAG,EAAE,CAAC,EAAE,OAAM,EAAE;AAAE,WAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,EAAE,UAAU,8BAA8B;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC;AAAE,QAAE,KAAK,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,8BAA8B,CAAC;AAAE,WAAO;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,EAAC,WAAU,GAAE,UAAS,EAAC,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,IAAI,GAAG,EAAE,IAAI,OAAG,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,SAAM,EAAC,WAAU,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,WAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAI,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,KAAK,MAAM,EAAE,aAAW,CAAC,IAAE,GAAE,IAAE,EAAE,aAAW,GAAE,IAAE,EAAE,eAAa,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAElwF;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA;AAAA,cAEC;AAAA;AAAA,WAEJ,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACpO;AAAA;AAAA,oCAE4B,MAAM;AAAA,iCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA;AAAA,2BAGC,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOT;AAAA,qCACK;AAAA;AAAA,gCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA,kCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAQhB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAmBF,MAAI;AAAA;AAAA,oBAEF;AAAA;AAAA,0CAEsB;AAAA,mCACP;AAAA;AAAA;AAAA,kCAGD;AAAA,mCACC;AAAA;AAAA;AAAA,yBAGV,MAAI;AAAA;AAAA,+BAEE;AAAA,+BACA;AAAA;AAAA;AAAA,oBAGX;AAAA;AAAA,wCAEoB;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKR;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKP,MAAI;AAAA;AAAA,+BAEE;AAAA,+BACA;AAAA,+BACA;AAAA;AAAA;AAAA,oBAGX;AAAA;AAAA,wCAEoB;AAAA,wCACA;AAAA,wCACA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKR;AAAA,gCACA;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUtB;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAtIu5E,IAsIr5E,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAIA,MAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,KAAK,MAAM,EAAE,aAAW,CAAC,IAAE,GAAE,IAAE,EAAE,aAAW;AAAE,SAAK,WAAS;AAAA,oCACnU,MAAM,MAAM;AAAA,iCACfA,QAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAgBb;AAAA,qCACK;AAAA;AAAA,gCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,kCAIA;AAAA,uCACK;AAAA;AAAA,kCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA;AAAA,yCACK;AAAA;AAAA,oCAEL,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAiBlB,MAAI;AAAA;AAAA,4CAEoB;AAAA,qCACP;AAAA,2BACV,MAAI;AAAA;AAAA,4CAEa;AAAA,4CACA;AAAA;AAAA;AAAA,qCAGP;AAAA,qCACA;AAAA;AAAA;AAAA,2BAGV,MAAI;AAAA;AAAA,4CAEa;AAAA,4CACA;AAAA,4CACA;AAAA;AAAA;AAAA,qCAGP;AAAA,qCACA;AAAA,qCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAShC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,GAAE,IAAE;AAAA;AAAA;AAE5Y,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,yBAC9C,IAAE;AAAA,wBACH,IAAE;AAAA,yBACD,IAAE,IAAE;AAAA,wBACL,IAAE,IAAE;AAAA,oBACR;AAAK,SAAG;AAAA,2BACD;AAAA,8BACG,EAAE;AAAA;AACvB,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,oBACZ,IAAE;AAAA,oBACF,IAAE;AAAA,oBACF,IAAE,IAAE;AAAA,oBACJ,IAAE,IAAE;AAAA,eACT;AAAiB,SAAG;AAAA;AAAA;AAAA;AAG1B,aAAQ,IAAE,GAAE,KAAG,IAAE,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,UAAG,KAAG;AAAA,6BACvB,IAAE;AAAA,cAClB,MAAI,GAAE;AAAC,YAAG,IAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,uEAE8B;AAAA,4BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKE;AAAA;AAAA,4BAEF;AAAA;AAAA,kBAEX,MAAI,KAAG,IAAE,IAAE,KAAG;AAAA,qBACV,mBAAmB,IAAE,gBAAgB;AAAA,qBACvC,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAYG,gCAAgC;AAAA;AAAA,yBAEhC,6BAA6B;AAAA;AAAA,wBAEhC,KAAG;AAAA,2DACkC;AAAA,4BAC/B;AAAA;AAAA,8BAEE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA,qBAGP,cAAc;AAAA,oBAChB,IAAE,IAAE,IAAG;AAAC,cAAI,IAAE,IAAE,MAAI,IAAE,EAAE,kBAAkB,CAAC,IAAE;AAAE,cAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,KAAG;AAAA,wDACjD;AAAA;AAAA,yEAEiB,IAAE;AAAA,8BAC7C,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKA,IAAE;AAAA;AAAA,8BAEJ,IAAE;AAAA;AAAA,sBAEX,IAAE,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,0BAIF,IAAE,gCAAgC,IAAE;AAAA;AAAA,0BAEpC,IAAE,6BAA6B,IAAE;AAAA;AAAA,yBAEpC,KAAG;AAAA,yBACD,IAAE,mBAAmB,gBAAgB,IAAE;AAAA,0BACxC,MAAI,IAAE,KAAG;AAAA,yBACR,IAAE,cAAc;AAAA,yBAClB,KAAG;AAAA,uCACa;AAAA;AAAA,2EAEoC,IAAE;AAAA,gCAC7C,IAAE;AAAA;AAAA,kCAEA,IAAE;AAAA;AAAA,gCAEJ,IAAE;AAAA;AAAA;AAAA,yBAGT,IAAE,cAAc,IAAE;AAAA;AAAA,QACrB;AAAA,MAAC;AAAM,YAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,sEAEuB;AAAA,4BAC1C;AAAA;AAAA;AAAA;AAAA,8BAIE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA,kEAGsC,IAAE;AAAA,4BACxC,IAAE;AAAA;AAAA;AAAA;AAAA,8BAIA,IAAE;AAAA;AAAA,4BAEJ,IAAE;AAAA;AAAA;AAAA,qBAGT,mBAAmB,gBAAgB,IAAE;AAAA,kBACzC,IAAE,IAAE,MAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uBAML,IAAE,mBAAmB,IAAE;AAAA,wBACxB,KAAG;AAAA,0DACiC;AAAA,4BAC9B;AAAA;AAAA,8BAEE;AAAA;AAAA,4BAEF;AAAA;AAAA;AAAA;AAAA,sEAI0C,IAAE;AAAA,4BAC5C,IAAE;AAAA;AAAA,8BAEA,IAAE;AAAA;AAAA,4BAEJ,IAAE;AAAA;AAAA;AAAA,qBAGT;AAAA,4BACO,gBAAgB,IAAE;AAAA,kBAC7B,IAAE,IAAE,MAAI,KAAG;AAAA,uBACL,IAAE,mBAAmB,gBAAgB,IAAE;AAAA;AACxC,UAAE,MAAI,KAAG;AAAA,gCACC;AAAA,4BACJ;AAAA,2BACD,EAAE;AAAA,8BACC;AAAA;AAAA,cAEjB,IAAE,IAAE,MAAI,KAAG;AAAA,kCACU,IAAE;AAAA,8BACN,IAAE;AAAA,6BACH,EAAE;AAAA,gCACC,IAAE;AAAA;AAAA;AAAA,IAElB;AAAC,SAAG;AAAA;AAAA,MAEf,KAAG;AAAA;AAAA,MAEH,KAAG;AAAA;AAAA;AAEH,QAAI,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,aAEd;AAAA,cACD,IAAE,IAAE;AAAA;AAAA,aAEH;AAAA,cACD,IAAE;AAAA,aACD;AAAA,aACD,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,SACrO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,WAaE;AAAA;AAAA;AAAA,WAGA;AAAA,WACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,cAAa,MAAK,QAAO,GAAE,EAAC,MAAK,OAAM,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,GAAE,EAAC,MAAK,YAAW,MAAK,QAAO,GAAE,EAAC,MAAK,cAAa,MAAK,MAAK,GAAE,EAAC,MAAK,oBAAmB,MAAK,MAAK,GAAE,EAAC,MAAK,YAAW,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAG,EAAC,YAAW,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,KAAK,sBAAoB,wDAAsD,mBAAmB,EAAE,CAAC,cAAc,EAAE,CAAC,QAAO,IAAE;AAAG,aAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,eAAQ,IAAE,GAAE,KAAG,GAAE;AAAI,aAAG;AAAA,gCACjnB;AAAA,yBACP;AAAA;AAAA,YAEb;AAAA;AAAA;AAAA;AAAA,iCAIqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQE;AAAA;AAAA;AAAA;AAAA,sBAIb;AAAA;AAAA,2BAEK,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,2BAKJ,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAOrB,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UASd;AAAA;AAAA,UAEA,EAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAOA,OAAG,IAAE,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,KAAGA,QAAI,KAAG,EAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,CAAC,IAAE;AAAI;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,YAAW,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,aAAY,IAAEA,IAAE,eAAa,gBAAe,IAAE,OAAG,IAAE,OAAG,GAAE,IAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,GAAG,MAAI,KAAG,MAAI,MAAI,IAAE,OAAK,EAAE,YAAU,KAAG,EAAE,WAAS,QAAM,EAAE,CAAC,IAAE,MAAI,KAAG,EAAE,YAAY,EAAE,MAAM,MAAM,EAAE,GAAE,EAAE,MAAM,EAAE,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,KAAG,EAAE,CAAC,IAAE,IAAG,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,CAAC,GAAE,GAAEA,IAAE,UAAU,GAAE,OAAM,EAAE,MAAK,GAAE,IAAE,EAAE;AAAM,MAAE,QAAM,EAAE,MAAM,MAAM,GAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,KAAI,EAAE,OAAO,GAAG,EAAE,OAAM,EAAE,KAAK,GAAE,MAAI,kBAAkB,EAAE,YAAY,EAAE,kBAAkB;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAE,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,SAAQ,GAAE,YAAW,GAAE,YAAW,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,OAAO,EAAE,UAAS,MAAI,6CAA6C,GAAE,EAAE,QAAM,GAAE,EAAE,QAAMA,IAAE,UAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,QAAMA,IAAE,UAAS,EAAE,KAAK,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAEA,IAAE,YAAUA,IAAE,UAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,IAAE,CAACA,IAAE,WAAU,GAAEA,IAAE,UAAU,IAAE,CAACA,IAAE,WAAUA,IAAE,YAAW,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,CAAC,GAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAG,EAAC,aAAY,GAAE,cAAa,GAAE,YAAW,GAAE,UAAS,GAAE,WAAU,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,OAAG,IAAE,CAAC;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAEA,GAAC,GAAE,IAAE,CAAC,EAAE,OAAM,CAACA,IAAE,QAAQ,KAAIA,IAAE,QAAQ,IAAI,GAAE,CAACA,IAAE,cAAaA,IAAE,WAAW,GAAE,CAACA,IAAE,gBAAeA,IAAE,aAAa,GAAE,CAACA,IAAE,UAAU,GAAE,CAACA,IAAE,cAAYA,IAAE,UAAU,GAAE,CAACA,IAAE,QAAQ,CAAC,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,IAAE,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,IAAI,GAAG,IAAE,EAAE,QAAM,EAAE,OAAM,IAAE,EAAE,QAAM,EAAE,OAAM,IAAE,CAACA,IAAE,WAAU,GAAEA,IAAE,WAAW,IAAE,CAACA,IAAE,WAAUA,IAAE,aAAY,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC;AAAE,MAAG,KAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE;AAAE,MAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,MAAI,EAAE,QAAQ,SAAO,UAAQ,EAAE,QAAQ,SAAO;AAAS,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,IAAC,CAAC;AAAA,WAAU,EAAE,eAAa,KAAG,MAAI,kBAAgB,EAAE,EAAE,QAAQ,gBAAgB,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAA,EAAC,WAAS,EAAE,EAAE,QAAQ,mBAAmB;AAAE,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,IAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,eAAa;AAAe,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAYvxI,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,gBAItB,IAAE;AAAA;AAAA,gDAE4B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQzC;AAAC;AArCkmI,IAqChmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAa,gBAAe,IAAEA,MAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCAC7O,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKb;AAAA;AAAA,wCAEc,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOtBA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAES,EAAE;AAAA;AAAA,oBAElB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAef;AAAC;AA1FkmI,IA0FhmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ;AAAK,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAWrL,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,sCAIA,EAAE;AAAA,qCACH,OAAO;AAAA;AAAA,sCAEN,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAanC;AAAC;AApIkmI,IAoIhmI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAEA,MAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ;AAAK,SAAK,WAAS;AAAA,iCAC3O,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcbA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA,oCAES;AAAA,oDACgB;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAMb;AAAA;AAAA,sCAES,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUnC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,WAAU,MAAK,OAAM,CAAC,GAAE,KAAK,cAAY,EAAE,SAAQ,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAEA,MAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ;AAAK,SAAK,WAAS;AAAA,iCACvmB,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYPA;AAAA;AAAA,oCAEI,EAAE;AAAA;AAAA;AAAA;AAAA,yBAIbA;AAAA;AAAA,kCAES;AAAA,2BACP;AAAA;AAAA;AAAA,oDAGyB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,uDAKC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,sCAKnB,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAiBF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCASF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAanC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAE,MAAG,EAAE,EAAE,QAAQ,YAAY,KAAG,MAAI,gBAAe;AAAC,QAAI,IAAE,CAAC,CAAC,EAAE,cAAa,EAAE,WAAW,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC;AAAE,WAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAExtC,KAAG;AAAA;AAAA;AAAA,IAGD;AAAA;AAAA;AALstC,IAOxtC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAPirC,IAO/qC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAP,IAG9F,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAH0E,IAGxE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,QAAQ,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAE,CAAC,CAAC,IAAEA,KAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,QAAI,IAAE,MAAI,aAAW,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAG,IAAE,OAAM,GAAG,IAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,IAAE,CAAC,IAAI,IAAE,MAAI,IAAE,MAAK,0BAAyB,MAAM,6BAA6B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,IAAE,IAAE,CAAC,IAAI,IAAE,MAAI,IAAE,MAAK,yBAAwB,MAAM,4BAA4B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG;AAAE,SAAK,WAAS;AAAA,yCACvgB;AAAA,wCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAgBP;AAAA;AAAA;AAAA;AAAA,+BAIF;AAAA,8BACD;AAAA;AAAA,uBAEP;AAAA,mCACY;AAAA,4BACP;AAAA;AAAA;AAAA,uBAGL;AAAA,mCACY;AAAA,4BACP;AAAA;AAAA;AAAA;AAAA;AAAA,aAKf;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwBR;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,SAAS;AAAC;AAApM,IAAsM,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,OAAK,KAAI,EAAE,MAAI;AAAG,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,KAAG,GAAE,KAAK,cAAYA,KAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC;AAAE,QAAI,IAAE,KAAK,YAAY,QAAO,IAAE,KAAK,OAAK,GAAG,OAAK,QAAM,OAAM,IAAE,IAAE,IAAE,QAAQ,GAAG,GAAE,UAAS,KAAK,EAAE,MAAK,IAAE,KAAK,YAAY,KAAK,YAAY,SAAO,CAAC,GAAE,IAAE,IAAG,IAAE;AAAG,SAAG,IAAE,IAAE,UAAU,IAAE,MAAI,YAAW,IAAE,IAAE,YAAU,cAAY,IAAE,IAAE,gBAAgB,MAAI,eAAc,IAAE,IAAE,eAAa,eAAc,KAAK,WAAS;AAAA;AAAA,UAExuB,GAAG,CAAC;AAAA,oBACM,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,sBACnB;AAAA;AAAA,cAER;AAAA,sBACQ;AAAA,YACV,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,gBACjB,KAAK,YAAY,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,EAIjD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ,QAAQ;AAAM,QAAM,IAAI,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,QAAM,IAAI,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,UAAM,IAAI,MAAM,mDAAmD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,KAAG,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,OAAG,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,MAAK,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,KAAI,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC,WAAS,EAAE,MAAM,WAAS,GAAE;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,qEAAqE,EAAE,MAAM,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,YAAUA,KAAE,KAAK,aAAW,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,gBAIjqE,KAAK,qBAAqB;AAAA,gBAC1B,KAAK,oBAAoB;AAAA,gBACzB,KAAK,oBAAoB;AAAA;AAAA,uBAElBA;AAAA,+BACQA;AAAA,uBACRA;AAAA,+BACQA;AAAA,mCACIA;AAAA,UACzB,KAAK,mBAAmB;AAAA;AAAA;AAAA,uBAGX,KAAK,uBAAuB;AAAA;AAAA;AAAA;AAAA,EAGhD;AAAA,EAAC,uBAAsB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK,eAAa,SAAO,KAAK,YAAY,CAAC,IAAE,KAAK,YAAY,CAAC;AAAA,EAAC;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,eAAa,SAAO,8BAA4B;AAAA,EAA2B;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAEvqC;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA;AAAA,cAEC;AAAA;AAAA,WAEJ,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACpO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgB;AAAA,4BACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCASI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAcxB;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,GAAE,EAAC,MAAK,WAAU,MAAK,QAAO,GAAE,EAAC,MAAK,aAAY,MAAK,QAAO,GAAE,EAAC,MAAK,UAAS,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,sBAAoB,GAAG,KAAK,YAAY,MAAM;AAAE,QAAI,IAAE,EAAE,cAAY,EAAE,YAAW,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,GAAE,IAAE;AAAA;AAAA;AAE1a,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,wBAC9C,IAAE;AAAA,uBACH,IAAE;AAAA,wBACD,IAAE,IAAE;AAAA,uBACL,IAAE,IAAE;AAAA,mBACR;AAAK,SAAG;AAAA,0BACD;AAAA;AAClB,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,mBACZ,IAAE;AAAA,mBACF,IAAE;AAAA,mBACF,IAAE,IAAE;AAAA,mBACJ,IAAE,IAAE;AAAA,cACT;AAAiB,SAAG;AAAA;AAAA;AAAA;AAG1B,aAAQ,IAAE,GAAE,KAAG,IAAE,KAAG,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE;AAAE,UAAG,KAAG;AAAA,4BACvB,IAAE;AAAA,aAClB,MAAI,GAAE;AAAC,YAAG,IAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,sEAE8B;AAAA,2BAC3C;AAAA;AAAA;AAAA;AAAA;AAAA,6BAKE;AAAA;AAAA,2BAEF;AAAA;AAAA,iBAEX,MAAI,KAAG,IAAE,IAAE,KAAG;AAAA,oBACV,mBAAmB,IAAE,gBAAgB;AAAA,oBACvC,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAYG,gCAAgC;AAAA;AAAA,wBAEhC,6BAA6B;AAAA;AAAA,uBAEhC,KAAG;AAAA,0DACkC;AAAA,2BAC/B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,oBAGP,cAAc;AAAA,mBAChB,IAAE,IAAE,IAAG;AAAC,cAAI,IAAE,IAAE,MAAI,IAAE,EAAE,kBAAkB,CAAC,IAAE;AAAE,cAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,IAAE,MAAI,KAAG,KAAG;AAAA,uDACjD;AAAA;AAAA,wEAEiB,IAAE;AAAA,6BAC7C,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKA,IAAE;AAAA;AAAA,6BAEJ,IAAE;AAAA;AAAA,qBAEX,IAAE,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,yBAIF,IAAE,gCAAgC,IAAE;AAAA;AAAA,yBAEpC,IAAE,6BAA6B,IAAE;AAAA;AAAA,wBAEpC,KAAG;AAAA,wBACD,IAAE,mBAAmB,gBAAgB,IAAE;AAAA,yBACxC,MAAI,IAAE,KAAG;AAAA,wBACR,IAAE,cAAc;AAAA,wBAClB,KAAG;AAAA,sCACa;AAAA;AAAA,0EAEoC,IAAE;AAAA,+BAC7C,IAAE;AAAA;AAAA,iCAEA,IAAE;AAAA;AAAA,+BAEJ,IAAE;AAAA;AAAA;AAAA,wBAGT,IAAE,cAAc,IAAE;AAAA;AAAA,QACrB;AAAA,MAAC;AAAM,YAAE,MAAI,IAAE,MAAI,KAAG,KAAG;AAAA;AAAA,qEAEuB;AAAA,2BAC1C;AAAA;AAAA;AAAA;AAAA,6BAIE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA,iEAGsC,IAAE;AAAA,2BACxC,IAAE;AAAA;AAAA;AAAA;AAAA,6BAIA,IAAE;AAAA;AAAA,2BAEJ,IAAE;AAAA;AAAA;AAAA,oBAGT,mBAAmB,gBAAgB,IAAE;AAAA,iBACzC,IAAE,IAAE,MAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAML,IAAE,mBAAmB,IAAE;AAAA,uBACxB,KAAG;AAAA,yDACiC;AAAA,2BAC9B;AAAA;AAAA,6BAEE;AAAA;AAAA,2BAEF;AAAA;AAAA;AAAA;AAAA,qEAI0C,IAAE;AAAA,2BAC5C,IAAE;AAAA;AAAA,6BAEA,IAAE;AAAA;AAAA,2BAEJ,IAAE;AAAA;AAAA;AAAA,oBAGT;AAAA,2BACO,gBAAgB,IAAE;AAAA,iBAC7B,IAAE,IAAE,MAAI,KAAG;AAAA,sBACL,IAAE,mBAAmB,gBAAgB,IAAE;AAAA;AACxC,UAAE,MAAI,KAAG;AAAA,+BACC;AAAA,2BACJ;AAAA,aACf,IAAE,IAAE,MAAI,KAAG;AAAA,iCACU,IAAE;AAAA,6BACN,IAAE;AAAA;AAAA,IAChB;AAAC,SAAG;AAAA;AAAA,KAEf,KAAG;AAAA;AAAA;AAED,QAAI,IAAE,IAAG,IAAE;AAAG,UAAI,IAAE,IAAE;AAAA;AAAA,YAEhB;AAAA,aACD,IAAE,IAAE;AAAA;AAAA,YAEH;AAAA,aACD,IAAE;AAAA,YACD;AAAA,YACD,IAAE;AAAgC,QAAI,IAAEA,MAAE,oCAAkC;AAAG,IAAAA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAG,KAAK,cAAc,KAAK,gBAAgB,GAAE,KAAK,WAAS;AAAA,QACrO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOgB;AAAA,4BACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAOlB;AAAA;AAAA;AAAA,UAGA;AAAA,UACA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE;AAAE,IAAE,EAAE,QAAQ,0BAA0B,KAAG,EAAE,eAAa,KAAG,EAAE,cAAY,EAAE,eAAa,IAAE,IAAE,IAAI,GAAG,CAAC,IAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAI,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,cAAY,EAAE;AAAY,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAY,EAAE;AAAW,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAOn3B;AAAA;AAAA;AAAA;AAAA;AAAA,8BAKM,EAAE;AAAA,kCACE,EAAE;AAAA,iCACHA,SAAO;AAAA;AAAA,kCAEN,EAAE;AAAA;AAAA;AAAA;AAAA,oCAIA,EAAE;AAAA,mCACH,OAAO;AAAA;AAAA,oCAEN,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYjC;AAAC;AAnC2rB,IAmCzrB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAEA,MAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAY,EAAE;AAAW,SAAK,WAAS;AAAA,iCAClN,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAYPA;AAAA,gDACgB;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,yBAKbA;AAAA;AAAA,kCAES;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAMb;AAAA;AAAA;AAAA,oCAGS;AAAA,8BACN;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASzB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMvpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE;AAAS,QAAG,EAAC,UAASA,KAAE,SAAQ,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,GAAE,eAAc,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,MAAK,EAAC,IAAE;AAAE,SAAK,WAAS;AAAA,oCACtlB,MAAM;AAAA,iCACT,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAaT;AAAA,iCACG;AAAA;AAAA,kCAECA;AAAA,kCACA;AAAA,qCACG;AAAA;AAAA,sCAEC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAgBjC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiD,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAApD,IAShwC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AATytC,IASvtC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAgD,KAAG;AAAA;AAAA;AAAA;AAAnD,IAG9F,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,8BAA8B,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK,IAAE,IAAI,GAAG,IAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAC;AAH7F,IAG+F,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAP,IAElP,KAAG;AAF+O,IAEvN,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,eAAc,GAAE,CAAC;AAFkJ,IAEhJ,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA,cAIlJ,EAAE;AAAA,eACD,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA,eACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AATwI,IAevJ,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAfmI,IAejI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE3E,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAFwE,IAW3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,UAAS,CAAC;AAXG,IAWD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAtF,IAAwF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM;AAAE,QAAI,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAYA;AAAE,QAAI,IAAE,IAAE,SAAS,KAAK,OAAK,UAAU,KAAK,MAAK,IAAE,IAAE,GAAG,QAAM,OAAM;AAAE,QAAG,MAAI;AAAO,UAAE;AAAA,aAA4C,MAAI;AAAO,UAAE;AAAA;AAAyC,YAAM,IAAI,MAAM,sDAAsD,IAAI;AAAE,SAAK,WAAS;AAAA,yCACz5B;AAAA;AAAA;AAAA,UAG/B;AAAA;AAAA;AAAA;AAAA,kDAIwC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMpB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDAS2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUpD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,QAAO,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,QAAO,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,EAAAA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,OAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKv+B;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAEA;AAAE,MAAG,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,MAAI,UAAS;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC;AAAE,WAAO,EAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,cAAY,CAAC;AAAE,QAAIA,MAAE,EAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,yBAK3aA;AAAA;AAAA,uCAEcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOlC;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,OAAMA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,KAAK;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,KAAG;AAAP,IAA0B,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAlF,IAAoF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAU5S,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAVyS,IA+B5S,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,CAAC;AA/BuP,IA+BrP,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uDAMhK,QAAQ;AAAA;AAAA,wBAEvCA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,OAAG,KAAK,eAAa;AAAG,QAAIA,MAAE,GAAG,GAAE,CAAC,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAe7H,QAAQ;AAAA,4BACVA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAgBpBA,IAAE;AAAA;AAAA;AAAA,EAEP;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAvD,IAAyD;AAAzD,IAA4D,KAAG,EAAE,EAAE,QAAQ,uCAAuC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,QAAQ,uCAAuC;AAAE,KAAC,MAAI,QAAM,MAAI,QAAM,KAAG,GAAE,KAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,GAAE,CAAC,IAAG,GAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG;AAAA,EAAM;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,OAAO;AAAE,EAAAA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAM,GAAG,QAAOA,IAAE,MAAM,yBAAyBA,IAAE,WAAW,EAAE,MAAM,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,QAAQ,YAAY,IAAE,IAAI,GAAG,CAAC,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,GAAE,IAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI,aAAY,IAAE,MAAI;AAAC,QAAI,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,MAAI;AAAC,UAAG,MAAI,UAAQ,EAAE,MAAM,WAAS,KAAG,EAAE,MAAM,CAAC,MAAI,GAAE;AAAC,YAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,eAAO,EAAE,KAAK,CAAC,GAAE;AAAA,MAAC;AAAC,aAAO;AAAA,IAAC;AAAE,QAAG,KAAG,EAAE,KAAK,EAAE,GAAE,CAAC,CAAC,GAAE,KAAG,EAAE,KAAK,EAAE,GAAE,CAAC,CAAC,GAAE,GAAE;AAAC,UAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,QAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAC;AAAC,WAAO;AAAA,EAAC;AAAE,MAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,iBAAe,KAAG,EAAE,gBAAc,MAAI,EAAE,QAAQ,SAAO,UAAQ,EAAE,QAAQ,SAAO;AAAS,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAA,WAAU,EAAE,eAAa,KAAG,MAAI,kBAAgB,EAAE,EAAE,QAAQ,gBAAgB,GAAE;AAAC,QAAI,IAAE,IAAE,GAAG,GAAE,IAAE,IAAE,MAAK,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC,GAAE,IAAE,EAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,WAAU,CAAC;AAAA,EAAC,WAAS,EAAE,EAAE,QAAQ,mBAAmB;AAAE,QAAE,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAE,GAAG,GAAE,KAAE,IAAE,MAAK,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAS;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,0BAA0B,KAAG,EAAE,eAAa,KAAG,EAAE,cAAY,EAAE,eAAa,GAAE,IAAE,IAAE,GAAG,GAAE,CAAC,IAAE,MAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAE,MAAI;AAAY,MAAG,KAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,EAAE,kBAAkB,GAAE,SAAS,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,MAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,CAAC,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,CAAC,EAAE,cAAa,EAAE,WAAW,GAAE,CAAC,EAAE,gBAAe,EAAE,aAAa,GAAE,CAAC,EAAE,UAAS,EAAE,OAAO,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,GAAE,WAAU,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,cAAY,GAAE,KAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAA;AACnnH,aAAQ,IAAE,GAAE,IAAE,KAAK,UAAS;AAAI,WAAG;AAAA,gDACH;AAAA;AAAA,sDAEM,KAAK,YAAY,CAAC;AAAA,oCACpC,KAAK,QAAQ,CAAC;AAAK,SAAK,WAAS;AAAA;AAAA,YAEzD;AAAA;AAAA;AAAA;AAAA,YAIA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIL;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,cAAYA,KAAE,KAAK,OAAKA,IAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE33B;AAAA;AAAA,oDAE0C,EAAE,CAAC;AAAA,oCACnB;AAAA;AAAA;AAAA,EAE/B;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAI,IAAE,EAAE,KAAK,OAAO,IAAE,EAAE,KAAK,GAAGA,IAAE,CAAC,GAAG;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC;AAAE,MAAG,EAAE,EAAE,IAAI,OAAO,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,IAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,YAAW,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG;AAAA;AAAA;AAAjC,IAEtuC,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFiqC,IAE/pC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG;AAAA;AAAA;AAAlC,IAE5H,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,QAAO,eAAc,GAAE,CAAC;AAFuD,IAErD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,MAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+C,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAhF,IAAkF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiC,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAiC,KAAG,GAAG,EAAC,WAAU,IAAG,OAAM,OAAM,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA8B,KAAG;AAAA;AAAA;AAAjC,IAErnB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFgjB,IAE9iB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA+B,KAAG;AAAA;AAAA;AAAlC,IAE5H,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,IAAG,OAAM,OAAM,CAAC;AAFuD,IAErD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAElT,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAF+S,IAUlT,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAV0P,IAUxP,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE/G,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAF2F,IAEzF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAhD,IAI3E,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,OAAM,CAAC;AAJuB,IAIrB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAoC,KAAG,GAAG,EAAC,WAAU,GAAE,CAAC;AAAxD,IAA0D,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAA6C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAhD,IAK1N,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,OAAM,OAAM,CAAC;AALsK,IAKpK,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAI,IAAEA,KAAE,IAAE,EAAE,CAAC,IAAE;AAAE,SAAK,cAAY;AAAE,QAAI,GAAE,IAAE,SAAS,cAAc;AAAW,UAAI,MAAG,IAAE,eAAe,OAAK,MAAI,IAAE,IAAE,QAAQ,OAAK,IAAE,WAAW,eAAe,QAAO,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBASvV,WAAW;AAAA;AAAA,oCAEC;AAAA;AAAA;AAAA;AAAA;AAAA,0BAKV;AAAA;AAAA;AAAA;AAAA,EAGrB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAEA,KAAE,IAAE,EAAE,CAAC,IAAE;AAAE,SAAK,cAAY;AAAE,QAAI,GAAE,IAAE,SAAS,cAAc;AAAW,UAAI,MAAG,IAAE,eAAe,OAAK,MAAI,IAAE,IAAE,QAAQ,OAAK,IAAE,WAAW,eAAe,QAAO,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQpR,KAAK,YAAY,CAAC;AAAA,gCAClB,KAAK,YAAY,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iCAejB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAWR,WAAW;AAAA;AAAA;AAAA,6DAGyB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAqBnB;AAAA;AAAA;AAAA;AAAA,EAGrC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,0BAA0B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAA9N,IAAgO,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,cAAa,eAAc,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,QAAM,EAAE,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,OAAK,GAAE,KAAK,QAAM,GAAE,KAAK,OAAK,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQrd,KAAK;AAAA,oDACiBA;AAAA,yCACX,KAAK;AAAA,0BACpBA;AAAA;AAAA;AAAA,sCAGY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAelB,qBAAqB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yCAOL;AAAA,0BACf;AAAA;AAAA;AAAA;AAAA,0CAIgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcrC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK;AAAC;AAA3K,IAA6K,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAEA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAG,GAAE;AAAC,UAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,UAAI,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,UAAEA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,UAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAE,SAAO;AAAA,IAAC;AAAM,UAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,QAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAA,EAAC;AAAC,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI;AAAE,MAAG,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,cAAc,CAAC,GAAE,GAAE,EAAE,KAAK;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,MAAE,SAAO;AAAA,EAAC;AAAM,QAAE,GAAG,GAAE,GAAE,GAAEA,GAAC;AAAE,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE92C,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPy2C,IAS92C,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AATszC,IASpzC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,SAAS;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,gBAAe,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCACzqC,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAcP;AAAA,kBACd;AAAA,gDAC8BA;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,kDACgB;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOR;AAAA;AAAA;AAAA;AAAA,qCAIK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQhC;AAAC;AA9Cg8B,IA8C97B,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,cAAY,EAAE;AAAQ,QAAIA,MAAE,EAAE,aAAY,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,eAAc,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,sBAAqB,IAAE,EAAE,uBAAsB,IAAE,EAAE,sBAAqB,IAAE,IAAE,IAAE,EAAE,QAAQ,OAAM,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,IAAE,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA,iCAC5U,MAAM,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAiBb;AAAA,mBACb;AAAA,gDAC6BA;AAAA;AAAA,oCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,kCAKJ;AAAA,sBACZ;AAAA,kDAC4B;AAAA;AAAA,sCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAMJ;AAAA,wBACZ;AAAA,oDAC4B;AAAA;AAAA,wCAEZ,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAOR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAMT,OAAO;AAAA,yBACP;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASpB;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,IAAE,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,MAAG,IAAE,IAAI,GAAG,GAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,IAAI,GAAGA,KAAE,OAAM,KAAE,GAAE,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAE,MAAE,IAAI,GAAGA,KAAE,OAAM,MAAG,MAAG,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,qBAAoB,EAAC,IAAE,GAAE,IAAEA;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,GAAE,MAAI,uDAAuD,EAAE,MAAM,SAAS;AAAE,MAAI,IAAE,CAAC,GAAE,CAAC;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,WAAU,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,SAAO,EAAE,8BAA8B,CAAC,GAAE,EAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAG,GAAE;AAAC,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,UAAI,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,UAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,UAAI,IAAE,EAAE,QAAQ,IAAI,EAAE,MAAM;AAAE,QAAE,SAAO;AAAA,IAAC;AAAM,UAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC;AAAA,EAAC;AAAC,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,8BAA8B,CAAC;AAAE,SAAO;AAAC,EAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,GAAE,EAAE,OAAM,OAAMA,GAAC,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE,KAAG,QAAMA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAE9pG,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA,MAKD,KAAG;AAAA;AAAA;AAPypG,IAS9pG,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AATsmG,IASpmG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE;AAAE,QAAG,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA,sBACnY;AAAA,oBACF;AAAA;AAAA;AAAA;AAAA;AAAA,wCAKoB;AAAA;AAAA,4CAEI;AAAA;AAAA;AAAA;AAAA;AAIpC;AAAA,IAAM;AAAC,SAAK,WAAS;AAAA,QACrB,aAAa,KAAK;AAAA,QAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGd;AAAA,8BACoB;AAAA;AAAA,iDAEmB;AAAA;AAAA,qDAEI;AAAA;AAAA;AAAA,UAG3C;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,MAAI,IAAE,WAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,MAAI,YAAU,IAAE,GAAE,IAAE;AAAG,QAAG,MAAI,GAAE;AAAC,UAAI,IAAE;AAAA,UACpY;AAAA;AAAA,0CAEgC;AAAA;AAAA,8CAEI;AAAA;AAAA;AAAA;AAGtC,UAAE;AAAA,UACA;AAAA,UACA;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1C,EAAE,IAAE,CAAC;AAAA,aACF;AAAA,YACD;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,IAE/C,OAAK;AAAC,UAAI,IAAE;AAAA,UACT;AAAA,UACA,UAAU;AAAA,UACV,WAAW;AAAA,UACX;AAAA;AAAA,6CAEmC;AAAA,kDACK;AAAA;AAAA;AAE1C,UAAE;AAAA,UACA;AAAA,UACA;AAAA,sCAC4B,EAAE,KAAK,OAAO;AAAA,UAC1C,EAAE,IAAE,CAAC;AAAA,aACF;AAAA,YACD;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA,UAG5C,EAAE,IAAE,CAAC;AAAA,aACF,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC;AAAA,YACjC;AAAA,wCAC4B,EAAE,KAAK,OAAO;AAAA,YAC1C,EAAE,IAAE,CAAC;AAAA,eACF;AAAA,cACD;AAAA,0CAC4B,EAAE,KAAK,OAAO;AAAA;AAAA;AAAA;AAAA,IAGjD;AAAC,SAAK,WAAS;AAAA,cACR,aAAa,KAAK;AAAA,cAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGpB;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAArM,IAAuM,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAA;AAAP,IAC/O,KAAG;AAAA;AAAA;AAAA,MAGpB,KAAG;AAAA;AAAA;AAJ6P,IAMlQ,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAN2N,IAMzN,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,QAAO,MAAK,QAAO,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQrNA,MAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAUNA,MAAE;AAAA;AAAA;AAAA,EAEvB;AAAC;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAP,IAIO,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAJV,IAsBN,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,kBAAiB,KAAE,CAAC;AAtBrD,IAsBuD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG;AAAP,IAAuB,KAAG,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,iBAAgB,MAAG,eAAc,GAAE,CAAC;AAAlG,IAAoG,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAE,MAAM,SAAO,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,KAAGA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,KAAG;AAAA;AAAA;AAAV,IAEr1C,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAUJ,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,QAAO,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI;AAAE,SAAO,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAG,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG;AAAwB,SAAS,IAAI,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,EAAC,IAAE,IAAI,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG;AAAwB,SAAS,IAAI,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,GAAE,cAAa,EAAC,IAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG;AAAwB,SAAS,IAAI,GAAE;AAAC,IAAE,KAAK,+FAA+F;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,IAAI,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAS,GAAE,KAAK,cAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,8BAIj/D,aAAa;AAAA;AAAA;AAAA;AAAA,EAGtC;AAAC;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAE,EAAAA,IAAE,8BAA8B,CAAC;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAlX,IAAoX,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAE,UAAQ,WAAS,KAAG,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC;AAAE,QAAG,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA,sBAC58E;AAAA,oBACF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAUZ;AAAA,IAAM;AAAC,SAAK,WAAS;AAAA,QACrB,aAAa,KAAK;AAAA,QAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGd;AAAA;AAAA;AAAA;AAAA,YAIE;AAAA,2BACe;AAAA;AAAA;AAAA;AAAA,EAGtB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,iBAAe,CAAC,EAAC,MAAK,SAAQ,MAAK,QAAO,CAAC,GAAE,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,UAAS,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,MAAI,IAAE,WAAS,QAAQ,EAAE,MAAM,EAAE,EAAE,KAAK,MAAK,IAAE,CAAC,GAAG,qBAAoB,GAAG,EAAE,IAAE,CAAC;AAAA,YAC7a;AAAA,SACJ,MAAI,IAAE,KAAG;AAAA;AAAA,SAER,EAAE,IAAE,CAAC;AAAA,YACF,EAAE,IAAE,CAAC,OAAO,KAAK,YAAY,IAAE,CAAC,QAAO,MAAI,IAAE,KAAG,KAAK,EAAE,IAAE,CAAC;AAAA,cACxD,MAAM,GAAE,IAAE,MAAI,IAAE,4BAA0B,8DAA6D,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,MAAI,IAAE,IAAE,GAAE,IAAE,GAAE;AAAI,WAAG;AAAA,UACnJ,EAAE,CAAC;AAAA,cACC;AAAA,mBACK;AAAA;AAAA,YAEP;AAAA,mBACO,wBAAwB,EAAE,KAAK,OAAO;AAAA;AAAA;AAEjD,SAAG,MAAI,IAAE,OAAK,MAAK,KAAK,WAAS;AAAA,cAC3B,aAAa,KAAK;AAAA,cAClB,WAAW,KAAK;AAAA;AAAA;AAAA,UAGpB;AAAA;AAAA,UAEA;AAAA;AAAA;AAAA;AAAA,EAGL;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAArW,IAAuW,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAR,IASla,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAgBF,KAAG;AAAA;AAAA;AAzB6Z,IA2Bla,MAAI,GAAG,EAAC,WAAU,KAAI,iBAAgB,IAAG,CAAC;AA3BwX,IA2BtX,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,2BAA2B,QAAO,GAAE,CAAC;AAAE,MAAI;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,EAAE,QAAO,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,GAAE,GAAE,QAAOA,GAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,oBAAmB,GAAE,mBAAkB,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,kBAAiB,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,OAAO,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,QAAO,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,GAAE,cAAa,GAAE,qBAAoB,EAAC,IAAE,GAAE,EAAC,mBAAkB,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAA3H,IAA6H,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,MAAI;AAAR,IAA0B,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAAhD,IAAkD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,KAAG;AAAA;AAAA;AAAX,IAEv6E,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAFm6E,IAYv6E,MAAI,GAAG,EAAC,WAAU,KAAI,iBAAgB,IAAG,CAAC;AAZ63E,IAY33E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,KAAG;AAAA;AAAA;AAAX,IAElG,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAF8F,IAYlG,MAAI,GAAG,EAAC,WAAU,KAAI,iBAAgB,IAAG,CAAC;AAZwD,IAYtD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE;AAAE,QAAE,IAAE,0EAAwE,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE/Z,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoB9B;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE;AAAE,QAAE,IAAE,0EAAwE,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE7W,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA,uCACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQH,IAAE;AAAA,uCACK,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAgDpC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAYA;AAAE,QAAG,CAAC,EAAC,GAAE,CAAC,IAAEA,KAAE,CAAC,EAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU7hB;AAAA,yCACD;AAAA;AAAA,6CAEI;AAAA,4CACD;AAAA;AAAA,oCAER;AAAA,mCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sDAMkB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAMH,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA8BlD;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,QAAM,OAAM;AAAE,QAAE,IAAE,8EAA4E,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAE5iB,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCASZ;AAAA;AAAA;AAAA;AAAA,8DAI2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKzD;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY,CAAC;AAAE,QAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE;AAAE,SAAK,cAAY,CAAC,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAI,IAAE,CAAC,KAAGA,MAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAGA,MAAE,IAAEA,MAAE,IAAEA,KAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,IAAE,QAAM,OAAM;AAAE,QAAE,IAAE,8EAA4E,IAAE,+CAA8C,KAAK,WAAS;AAAA;AAAA,YAEjY,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,YACR,EAAE,CAAC,IAAE,EAAE,CAAC;AAAA,uCACmB,QAAQ;AAAA,uCACR;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAcJ;AAAA;AAAA;AAAA;AAAA,8DAI2B;AAAA;AAAA;AAAA,gCAG9B,IAAE;AAAA,uCACK,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAapC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,cAAYA;AAAE,QAAG,CAAC,EAAC,GAAE,CAAC,IAAEA,KAAE,CAAC,EAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE;AAAE,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAU3hB;AAAA,yCACD;AAAA;AAAA,6CAEI;AAAA,4CACD;AAAA;AAAA,oCAER;AAAA,mCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAcD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAQE;AAAA;AAAA;AAAA;AAAA;AAAA,sBAKd,EAAE,CAAC;AAAA,sCACa,EAAE,CAAC;AAAA;AAAA;AAAA,wBAGjB,EAAE,CAAC;AAAA,wCACa,EAAE,CAAC;AAAA;AAAA;AAAA,4BAGf;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA,4BAIU;AAAA,kBACV;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYb;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,EAAE;AAAO,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,kCAAkC,+BAA+B;AAAE,QAAG,KAAK,cAAY,GAAE,MAAI,GAAE;AAAC,WAAK,WAAS;AAAA;AAAA;AAAA,2BAG7Y,EAAE,CAAC;AAAA;AAAA;AAEtB;AAAA,IAAM;AAAC,QAAI,IAAE,OAAGA,IAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAE,CAAC,cAAc,WAAS,UAAU,MAAK,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE3I;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa;AAAG,QAAI,IAAE,EAAE;AAAO,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,kCAAkC,+BAA+B;AAAE,SAAK,cAAY;AAAE,QAAI,IAAE,GAAG,MAAK,CAAC,GAAE,IAAE,GAAG,EAAE,IAAE,CAAC,WAAW,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,GAAG,EAAE,IAAE,CAAC,WAAW,KAAK,YAAY,IAAE,CAAC,KAAI,IAAE,GAAG,CAAC;AAAE,UAAI,IAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA,uCAIrU,EAAE,CAAC;AAAA,cAC5B,EAAE,CAAC;AAAA,eACF;AAAA,2CAC4B,EAAE,CAAC;AAAA,kBAC5B,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,UAIb,KAAK,WAAS;AAAA;AAAA,YAEV;AAAA;AAAA,uBAEW,EAAE,EAAE,MAAM,CAAC;AAAA,eACnB;AAAA,yBACU,EAAE,EAAE,MAAM,CAAC;AAAA;AAAA,eAErB;AAAA,yBACU,EAAE,EAAE,MAAM,CAAC;AAAA,iBACnB;AAAA,2BACU,EAAE,EAAE,MAAM,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAKhC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,aAAO,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,IAAE,CAAC,IAAE,MAAI,EAAE,IAAE,CAAC,IAAE,SAAQ,EAAE,CAAC;AAAA,IAAC;AAAC,aAAS,EAAE,GAAE;AAAC,UAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,KAAK,GAAG,GAAE,IAAE,EAAE,MAAM,EAAE,EAAE,KAAK,GAAG;AAAE,aAAM,mBAAmB,YAAY;AAAA,IAAK;AAAC,aAAS,EAAE,GAAE,GAAE;AAAC,aAAOA,IAAE,QAAQ,CAAC,MAAI,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAE,CAAC,OAAO,EAAE,CAAC,UAAQ,GAAG,EAAE,CAAC;AAAA,IAAG;AAAA,EAAC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,QAAQ,6BAA6B,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,UAAS,MAAK,OAAM,CAAC;AAAE,QAAI,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,SAAK,cAAY;AAAE,QAAI,IAAE;AAAG,WAAOA,OAAG,WAAS,IAAE,uBAAuBA,IAAE,QAAQ,CAAC,OAAK,IAAE;AAAA,2BACl9BA,IAAE,KAAK,GAAG;AAAA,+CACS,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWhD;AAAA,uCAC2B,gCAAgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlE;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,GAAE,KAAK,IAAI,CAAC,GAAE,KAAK,IAAI,CAAC,CAAC,CAAC;AAAE,SAAO,EAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAR,IAepS,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAf8Q,IAe5Q,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAiC,MAAI,GAAG,EAAC,WAAU,KAAI,eAAc,GAAE,CAAC;AAAxE,IAA0E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,IAAE,MAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,WAAU,cAAc,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAQ,QAAI,IAAE,cAAc,MAAK,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAgB,QAAI,IAAE,cAAc,MAAK,IAAE;AAAG,UAAI,IAAE;AAAwB,QAAI,IAAE,mBAAmB,MAAK,IAAEA,MAAE,IAAE,eAAa;AAAU,SAAK,WAAS;AAAA,UAC/kB,eAAe,KAAK;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoB;AAAA;AAAA,kCAEEA;AAAA,kCACA;AAAA,0CACQ;AAAA;AAAA;AAAA,uBAGnB;AAAA;AAAA;AAAA;AAAA,0BAIG;AAAA;AAAA;AAAA,EAEnB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,IAAE,MAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,WAAU,cAAc,GAAE,KAAK,eAAa,MAAG,KAAK,eAAa,MAAG,KAAK,cAAY;AAAE,QAAI,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAQ,QAAI,IAAE,cAAc,MAAK,IAAE;AAAG,UAAI,IAAE,IAAE,MAAI,MAAI,MAAI,IAAE;AAAgB,QAAI,IAAE,cAAc,MAAK,IAAE;AAAG,UAAI,IAAE;AAAwB,QAAI,IAAE,mBAAmB,MAAK,IAAEA,MAAE,IAAE,eAAa,WAAU,IAAEA,MAAE,IAAE,mBAAiB;AAAU,SAAK,WAAS;AAAA,UACpd,eAAe,KAAK;AAAA;AAAA;AAAA,YAGlB;AAAA;AAAA;AAAA,gCAGoB;AAAA;AAAA,kCAEEA;AAAA,oCACE;AAAA,6CACS;AAAA,4BACjBA;AAAA,+CACmB;AAAA;AAAA;AAAA;AAAA;AAAA,+BAKhB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0BAiBL;AAAA;AAAA;AAAA,EAEnB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC,CAAC,GAAE;AAAE,IAAE,EAAE,QAAQ,YAAY,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,CAAC,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,kBAAiB,QAAQ,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,aAAY,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,0BAAyB,IAAE,uBAAuB,KAAK,KAAK,KAAK,KAAKA,MAAE,CAAC,CAAC,uCAAsC,IAAE,EAAE,EAAE,UAAU,eAAe,MAAI,IAAE,IAAE,GAAE,IAAE,MAAI,SAAO,MAAI;AAAK,SAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,WAKroC;AAAA;AAAA,+CAEoC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkBzC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,KAAI,GAAG,GAAE,KAAK,cAAYA;AAAE,QAAI,GAAE;AAAE,QAAG,IAAE;AAAE,YAAM,MAAM,kBAAkB,wBAAwB;AAAE,QAAG,MAAI;AAAE,UAAE,SAAQ,IAAE;AAAA,SAAY;AAAC,UAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,UAAE,KAAK,GAAG,EAAE,CAAC,GAAG,GAAE,IAAE,KAAG,EAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,UAAE,EAAE,KAAK,GAAE,IAAE,EAAE,KAAK;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAEzmB;AAAA,4BACkB;AAAA;AAAA,2BAED;AAAA;AAAA,2BAEA;AAAA;AAAA;AAAA;AAAA,EAGtB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,QAAO,EAAE,OAAM,EAAE,MAAM,MAAM;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA,uBAG7N,EAAE;AAAA,kBACP,EAAE;AAAA;AAAA;AAJwN,IAM1O,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AANoN,IAMlN,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,KAAG;AAAA;AAAA;AAAX,IAE9E,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAF0E,IAY9E,MAAI,GAAG,EAAC,WAAU,KAAI,iBAAgB,KAAI,eAAc,GAAE,CAAC;AAZmB,IAYjB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAR,IAGnH,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAH6F,IAG3F,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,KAAG;AAAA;AAAA;AAAX,IAE9E,MAAI;AAAA;AAAA;AAAA,IAGF;AAAA;AAAA;AAL4E,IAO9E,MAAI,GAAG,EAAC,WAAU,KAAI,iBAAgB,IAAG,CAAC;AAPoC,IAOlC,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAR,IAGlG,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAH4E,IAG1E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAR,IAoB9E,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AApBwD,IAoBtD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,sEAAsE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAA/rB,IAAisB,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WAC/7B,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,WACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UAClD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,QAAO,IAAI,WAAW,EAAE,IAAI,OAAG,OAAO,CAAC,CAAC,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,uDAAuD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,qDAAqD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,MAAM,KAAKA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,MAAM,KAAKA,IAAE,SAAS,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,EAAE,OAAM,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,gBACjxC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,gBACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,IAAE;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,SAAO;AAAE,UAAM,IAAI,MAAM,2DAA2D;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,eAC1a,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,eACjD,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE;AAAG,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG;AAAP,IAAyB,MAAI,GAAG,EAAC,WAAU,IAAG,iBAAgB,IAAG,eAAc,GAAE,CAAC;AAAlF,IAAoF,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAwB,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAA9C,IAAgD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG;AAAP,IAAmC,MAAI,GAAG,EAAC,WAAU,IAAG,iBAAgB,GAAE,CAAC;AAA3E,IAA6E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,GAAE,UAAS,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,UAAS,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,GAAE;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,KAAG;AAAA,mCACp5D,EAAE;AAAA,KACjC,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,MAAM,GAAE,IAAE;AAAG,QAAG,MAAI;AAAE,UAAE;AAAA,SAA+B;AAAC,UAAI,IAAE;AAAE,UAAE,EAAE,IAAI,CAAC,GAAE,OAAK,KAAI,EAAE,WAAS,IAAE,oBAAoB,cAAc,OAAK,UAAU,IAAE,gBAAgB,cAAc,KAAK,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,SAAK,WAAS;AAAA,QACpb,aAAa,KAAK;AAAA,QAClB,eAAe,KAAKA;AAAA;AAAA;AAAA,UAGlB;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,8BAA8B,CAAC;AAAA,EAAC,WAASA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sCAAsC,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE;AAAO,SAAM,CAACA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,CAAC,CAAC,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,kCAAkC;AAAE,MAAG,KAAG;AAAE,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAyB,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAA/C,IAAiD,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA;AAAA;AAAR,IAG72E,MAAI,GAAG,EAAC,WAAU,IAAG,CAAC;AAHu1E,IAGr1E,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,OAAG,IAAE,GAAE,IAAEA,IAAE,gBAAgB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAEA,IAAE,8BAA8B,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,OAAK,EAAE;AAAO,QAAI,IAAE,GAAG,KAAK,IAAI,GAAE,IAAE,IAAI,CAAC;AAAE,SAAK,WAAS;AAAA;AAAA,UAE3/B;AAAA,yBACe;AAAA;AAAA;AAAA,EAEpB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,iBAAiB,wBAAwB;AAAE,MAAG,MAAI;AAAE,WAAM,eAAe,EAAE,CAAC;AAAK,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,KAAK,QAAQA,IAAE,CAAC,MAAM,EAAE,CAAC,IAAI;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,YAAU,EAAE,MAAM,SAAO,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,KAAI,MAAK,MAAK,GAAE,EAAC,MAAK,aAAY,MAAK,MAAK,GAAE,EAAC,MAAK,eAAc,MAAK,QAAO,GAAE,EAAC,MAAK,OAAM,MAAK,MAAK,GAAE,EAAC,MAAK,OAAM,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwCp5B;AAAC;AAxCupB,IAwCrpB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,iBAAe,CAAC,EAAC,MAAK,KAAI,MAAK,MAAK,GAAE,EAAC,MAAK,aAAY,MAAK,MAAK,GAAE,EAAC,MAAK,KAAI,MAAK,MAAK,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkC/L;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,QAAI,QAAM,EAAE,8BAA8B,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE;AAAG,SAAG;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,EAAE,UAAU,0CAA0C,GAAE,IAAE,EAAE,EAAE,UAAU,8BAA8B,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,IAAE,KAAG,IAAE,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAE,WAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC,CAAC,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,GAAE,GAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAM,SAAQ,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,QAAQ,IAAI,EAAE,MAAM,GAAE,IAAE,MAAI,QAAM,EAAE,UAAS,IAAE,IAAEA,IAAE,aAAa,CAAC,IAAE,GAAE,IAAE,EAAE,cAAc,CAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,OAAG,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,MAAK,IAAE,MAAI,MAAI,OAAK,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,MAAI,OAAK,IAAE,CAAC,GAAE,CAAC,OAAO,iBAAiB,GAAE,CAAC,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,CAAC,CAAC,CAAC,GAAE,CAAC,MAAI,OAAK,IAAE,CAAC,GAAE,CAAC,CAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,gBAAgB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,WAAU,EAAC,EAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE;AAAE,IAAE,KAAK,CAAC,GAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,YAAY,GAAE,KAAK,cAAY;AAAE,QAAI,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,YAAO,GAAE;AAAA,MAAC,KAAI;AAAW,YAAE;AAAE;AAAA,MAAM,KAAI;AAAU,YAAE;AAAE;AAAA,MAAM,KAAI;AAAO,YAAE;AAAE;AAAA,MAAM,KAAI;AAAU,YAAE;AAAE;AAAA,MAAM;AAAQ,YAAE;AAAE;AAAA,IAAK;AAAC,SAAK,WAAS;AAAA;AAAA;AAAA,mBAG92D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAwBQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,2BAiBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4CAUiB,gCAAgCA;AAAA;AAAA;AAAA,sCAGtC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAwBA;AAAA;AAAA;AAAA;AAAA,mDAIaA;AAAA,mDACA;AAAA;AAAA,sBAE7B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwBb;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,gBAAgB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA,KAAE,EAAC,GAAE,EAAC,IAAE;AAAE,KAAG,GAAE,QAAQ,GAAE,QAAQ,KAAK,aAAY,4DAA4D;AAAE,MAAI,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,SAAQ,EAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC,GAAE,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,YAAY;AAAE,QAAI,IAAE,EAAE,YAAW,IAAE,EAAE,WAAU,IAAE,EAAE,QAAO,IAAE,EAAE,aAAY,IAAE,IAAE,KAAK,KAAK,IAAE,CAAC;AAAE,SAAK,cAAY,CAAC,GAAE,CAAC;AAAE,QAAI,IAAE,OAAM,IAAE,YAAW,IAAE,KAAK,MAAM,IAAE,CAAC,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE;AAAA;AAAA,OAEh9C,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACe;AAAA;AAAA;AAAA;AAG3B,QAAI,IAAE;AAAG,QAAE,IAAE,MAAI,IAAE;AAAA,oCACQ;AAAA;AAAA;AAAA,UAG3B,KAAK,WAAS;AAAA,0CACmB;AAAA;AAAA;AAAA,UAGhC;AAAA;AAAA;AAAA;AAAA;AAAA,UAKA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASE,eAAe;AAAA,wDAC6B;AAAA;AAAA;AAAA;AAAA,8BAI1B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgBlB;AAAA;AAAA;AAAA,iCAGqB;AAAA,cACnB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAiBN;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAeb;AAAA,qBACS,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAeb;AAAA;AAAA,oBAEQ;AAAA;AAAA;AAAA,EAEf;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAG,MAAI,IAAE,EAAE,aAAa,gBAAgB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,aAAa,8BAA8B,GAAE,CAAC,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,aAAY,EAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAEA,IAAE,cAAc,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAE,QAAG,EAAE,KAAK,CAAC,GAAE,EAAE,MAAM,CAAC,MAAI;AAAE,aAAO;AAAE,QAAI,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,CAAC,IAAE,CAAC,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC,GAAE,IAAE,EAAE,GAAE,sBAAqB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,8BAA8B,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,SAAQ,YAAW,IAAG;AAAE,IAAI,MAAI,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAI,KAAG,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,SAAO,CAAC,IAAE,UAAS,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,YAAU,CAAC,IAAE,aAAY,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,MAAI,CAAC,IAAE;AAAK,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,6DAA6D;AAAE,MAAG,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,EAAE,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,uDAAuD,EAAE,MAAM,SAAS;AAAE,QAAE,EAAE;AAAA,EAAE;AAAC,MAAI,IAAE,KAAG,OAAK,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,qEAAqE;AAAE,MAAI,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,GAAE,GAAE,KAAG,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA;AAAE,WAAS,EAAE,GAAE;AAAC,IAAAA,MAAE,EAAE,KAAK,MAAM,GAAE,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE;AAAC,QAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,KAAG,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,WAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAGA,IAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAA,EAAC;AAAC,SAAM,EAAC,YAAW,GAAE,aAAY,QAAO,WAAU,GAAE,YAAW,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI;AAAE,WAAS,EAAE,GAAE;AAAC,QAAE,EAAE,KAAK,MAAM,GAAE,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,QAAQ,CAAC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE;AAAC,QAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,OAAG,OAAKA,MAAE,EAAE,OAAM,IAAE,EAAE,2BAA2B,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,WAAW,GAAE,CAAC;AAAE,QAAG,EAAE,cAAc,CAAC,MAAI;AAAE,aAAO;AAAE,QAAI,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,YAAO,MAAI,EAAE,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAG,GAAE;AAAA,EAAC;AAAC,SAAM,EAAC,YAAW,GAAE,aAAY,QAAO,WAAU,GAAE,YAAW,EAAC;AAAC;AAAC,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,SAAQ,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,CAAC,EAAE,OAAM,EAAE,CAAC,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,IAAI,OAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,EAAE,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,WAAO,GAAGA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,mBAAmB,CAAC;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,IAAI,EAAE,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE;AAAG,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,MAAI,MAAI,IAAE;AAAI,MAAI,IAAE,IAAI,EAAE,EAAE,OAAM,EAAE,IAAI,GAAE,IAAE,EAAC,QAAO,EAAE,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,EAAE,MAAK;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,MAAM,EAAE,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAEA,IAAE,QAAO;AAAI,IAAAA,IAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,SAAOA;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,CAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,MAAE,CAAC,MAAI,KAAGA,IAAE,KAAK,EAAE,CAAC,CAAC,GAAE,EAAE,EAAE,CAAC,CAAC,MAAI,KAAG,EAAE,KAAK,EAAE,CAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE;AAAG,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,QAAE,CAAC,KAAG,MAAI,MAAI,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,OAAK,IAAE;AAAG,MAAE,CAAC,IAAE;AAAA,EAAC;AAAC,SAAM,CAACA,KAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG,WAAU,IAAG;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,eAAe,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,MAAK,IAAE;AAAG,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,IAAI,MAAM,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,EAAE,CAAC,CAAC;AAAE,QAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,IAAAA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,OAAK,MAAI,IAAE;AAAA,EAAG;AAAC,SAAM,EAAC,YAAW,GAAE,cAAa,GAAE,MAAK,GAAE,oBAAmB,EAAC;AAAC;AAAC,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAI;AAAE,WAASA,IAAE,GAAE;AAAC,QAAE,EAAE,KAAK,MAAM,GAAE,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAA,EAAC;AAAC,WAAS,EAAE,GAAE;AAAC,QAAG,EAAC,SAAQ,GAAE,QAAO,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,QAAG,GAAE;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,YAAI,MAAI,IAAE,GAAE,IAAE;AAAA,IAAE;AAAC,QAAI,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,WAAW,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,WAAO,EAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,CAAC,GAAE,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,SAAM,EAAC,YAAW,GAAE,aAAY,QAAO,WAAUA,KAAE,YAAW,EAAC;AAAC;AAAC,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,IAAG,KAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE;AAAW,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,6CAA6C,EAAE,yCAAyC;AAAE,MAAG,EAAE,kBAAgB,KAAG,EAAE,mBAAiB;AAAE,UAAM,IAAI,MAAM,0EAA0E,EAAE,mBAAmB,EAAE,iBAAiB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,aAAY,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,UAAS,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,YAAW,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,sBAAqB,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,iBAAgB,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,YAAW,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,sBAAqB,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,MAAK,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC;AAAE,SAAO,EAAE,OAAO,MAAI,EAAE,cAAc,CAAC,GAAE,MAAI,cAAc,iBAAiB,EAAE,uEAAuE,GAAE,EAAE,QAAQ,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,4DAA4D;AAAE,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwB,oBAAoB,eAAe;AAAE,MAAI,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE,EAAE,QAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,KAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAEA,KAAE,CAAC,GAAE,IAAE,GAAG,iBAAiB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,GAAG,kBAAkB,GAAE,CAAC;AAAE,WAAO,EAAE,UAAQ,WAAS,EAAE,cAAY,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,CAAC,CAAC,IAAE,EAAE,mBAAmB,CAAC,EAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,cAAc,CAAC,CAAC,CAAC,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAO,EAAE,cAAY,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,mBAAmB,CAAC,GAAE,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI;AAAE,QAAI,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,WAAU,MAAI;AAAE,QAAI,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,WAAU,MAAI;AAAE,QAAI,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,GAAG,GAAE,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,MAAE,IAAI,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,IAAAA,IAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,UAAI,IAAE,IAAE,IAAE,IAAEA,MAAE;AAAE,QAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,IAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,eAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,YAAI,IAAE,IAAE,IAAE,IAAEA,MAAE,IAAE,IAAE;AAAE,UAAE,IAAI,EAAE,SAAS,GAAE,IAAE,EAAE,CAAC,CAAC,GAAE,CAAC,GAAE,KAAG,EAAE,CAAC;AAAA,MAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,WAAU,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC,MAAI,GAAE,IAAE,EAAE,MAAM,WAAS,IAAE,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,WAAS,EAAE,GAAE;AAAC,WAAO,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAA,EAAE;AAAC,SAAO,GAAG,EAAE,CAAC,GAAE,GAAE,GAAE,EAAE,CAAC,GAAE,GAAG,EAAE,KAAK,GAAE,EAAE,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE,GAAE,IAAEA,IAAE,mBAAmB,CAAC,GAAE,IAAEA,IAAE,mBAAmB,CAAC,GAAE,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,SAAOA,IAAE,WAAW,CAAC,EAAE,MAAM,GAAE,SAAQ,QAAO,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,EAAE,OAAMA,GAAC,GAAE,IAAE,EAAE,mBAAmB,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE,EAAE,eAAe,EAAE,MAAM,MAAK,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,GAAE,EAAE,CAAC,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAO;AAAE,MAAG,EAAE,CAAC,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE;AAAE,QAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,QAAI,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAE,QAAM;AAAE,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,cAAY,EAAE,uBAAuB,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,cAAc,EAAE,CAAC,EAAE,MAAM,MAAM,GAAE,CAAC,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,WAAO,KAAG,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAGA,IAAE,mBAAmB,CAAC,CAAC,GAAE,IAAEA,IAAE,mBAAmB,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,UAAI,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,EAAE,CAAC,EAAE,SAAS,GAAE,IAAE,CAAC;AAAE,QAAE,IAAI,GAAE,CAAC,GAAE,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE;AAAE,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,oDAAoD,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAEA,KAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,EAAC,WAAU,GAAE,cAAa,GAAE,aAAY,GAAE,YAAW,GAAE,UAAS,GAAE,SAAQ,GAAE,aAAY,GAAE,WAAU,GAAE,UAAS,GAAE,cAAa,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,QAAQ,KAAI,IAAE,IAAE,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,eAAa,gBAAe,IAAE,EAAE,eAAe,EAAE,OAAO,GAAE,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,EAAE,eAAe,EAAE,KAAK,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,KAAG,IAAE,EAAE,CAAC,IAAE,GAAE,KAAG,IAAE,IAAE,EAAE,CAAC,GAAE,KAAG,EAAE,WAAW,EAAE,SAAQ,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,GAAG,MAAM,EAAE,IAAG,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,IAAG,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,IAAG,IAAG,EAAE,GAAE;AAAE;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,yCAAyC,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,8CAA8C,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,UAAS,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,YAAW,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,8CAA8C,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,aAAY,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,YAAW,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,0CAA0C,EAAE,OAAO;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,8CAA8C,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,SAAQ,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,YAAW,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,WAAS,CAAC,IAAE,YAAW,EAAE,EAAE,UAAQ,CAAC,IAAE;AAAS,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,oBAAmB,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,IAAE,OAAO,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,4BAA4B,EAAE,mCAAmC;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,QAAI,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,IAAE,2BAA2B,WAAU,CAAC,CAAC,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,GAAE,GAAE,GAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE;AAAE,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,IAAE,OAAO,EAAE,UAAQ,aAAW,EAAE,UAAQ,SAAQ,MAAI,2BAA2B,EAAE,mCAAmC;AAAE,MAAI,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,QAAI,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,IAAE,2BAA2B,UAAS,CAAC,CAAC,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,GAAE,GAAE,GAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE;AAAE,MAAG,MAAI,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,iBAAgB,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,WAAU,UAAS,UAAS,WAAU,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,OAAO,CAAC,GAAE,MAAI,IAAE,GAAE,CAAC,MAAI,GAAE,IAAE,EAAE,MAAM,WAAS,IAAE,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,WAAS,EAAE,GAAE;AAAC,WAAO,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAA,EAAE;AAAC,SAAO,GAAG,EAAE,CAAC,GAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,CAAC,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,EAAE,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,SAAQ,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,MAAI,SAAO,IAAE,GAAE,GAAE,EAAE,MAAM,SAAO,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,KAAG,OAAK,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE;AAAE,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,mEAAmE,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,QAAO,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK,GAAE,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAG,EAAE,KAAK,GAAE,GAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,EAAE,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,+DAA+D,EAAE,aAAa,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,UAAS,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAG,EAAE,KAAK,GAAE,EAAE,WAAU,EAAE,YAAW,EAAE,UAAS,EAAE,SAAQ,EAAE,WAAU,EAAE,UAAS,EAAE,cAAa,EAAE,aAAY,EAAE,gBAAe,EAAE,eAAc,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,EAAE,SAAO,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,oFAAoF,EAAE,UAAU,EAAE,cAAc,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAG,EAAE,KAAK,GAAE,EAAE,WAAU,EAAE,YAAW,EAAE,UAAS,EAAE,SAAQ,EAAE,WAAU,EAAE,UAAS,EAAE,cAAa,EAAE,aAAY,EAAE,gBAAe,EAAE,eAAc,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,EAAE,SAAO,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,mFAAmF,EAAE,UAAU,EAAE,cAAc,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAG,EAAE,KAAK,GAAE,EAAE,WAAU,EAAE,YAAW,EAAE,UAAS,EAAE,SAAQ,EAAE,WAAU,EAAE,UAAS,EAAE,cAAa,EAAE,aAAY,EAAE,gBAAe,EAAE,eAAc,EAAE,cAAa,EAAE,aAAY,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,SAAS,GAAE,IAAE,OAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,SAAS;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI,KAAG,GAAG,IAAG,SAAS;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAMA,KAAE,OAAM,EAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,GAAE,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,KAAKA,GAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE;AAAM,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,MAAK,GAAE,UAAS,GAAE,QAAO,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,KAAG,OAAK,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,KAAG,GAAE,IAAE,KAAG,OAAK,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,KAAG,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,qEAAqE;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,aAAY,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,GAAG,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,sDAAsD,GAAG,MAAM,SAAS;AAAE,QAAG,GAAG,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,2BAA2B,GAAG,wDAAwD,IAAI;AAAE,QAAE,GAAG;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE,GAAE,IAAE,EAAE,WAAU,IAAE,EAAE,UAAS,IAAE,EAAE;AAAQ,MAAG,MAAI;AAAO,UAAM,IAAI,MAAM,yDAAyD,wBAAwB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,KAAG,OAAK,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,KAAG,GAAE,EAAE,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,YAAW,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,GAAG,CAAC;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,GAAG,8EAA8E;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,aAAY,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,QAAI,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,GAAG,MAAM,WAAS;AAAE,YAAM,IAAI,MAAM,+DAA+D,GAAG,MAAM,SAAS;AAAE,QAAG,GAAG,MAAM,CAAC,MAAI;AAAE,YAAM,IAAI,MAAM,oCAAoC,GAAG,wDAAwD,IAAI;AAAE,QAAE,GAAG;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE,QAAQ,SAAO,SAAO,IAAE,GAAE,IAAE,EAAE,WAAU,IAAE,EAAE,UAAS,IAAE,EAAE;AAAQ,MAAG,MAAI;AAAO,UAAM,IAAI,MAAM,kEAAkE,wBAAwB;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,KAAG,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,KAAG,KAAG,OAAK,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,KAAG,GAAE,EAAE,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAEA,KAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,GAAG,mBAAmB,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,UAAS,MAAK,CAAC,UAAS,UAAS,SAAQ,UAAS,UAAS,UAAS,SAAQ,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE,GAAE;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,MAAE,OAAO,KAAG,IAAE,KAAG,KAAG,GAAE,MAAI,6BAA6B,mBAAmB,IAAE,IAAI;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,MAAM,SAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,EAAE,WAAU,GAAE,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,QAAM,EAAE,aAAY;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,MAAM;AAAE,IAAI,KAAG,GAAG,IAAG,MAAM;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAMA,IAAC,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAEA,KAAE,CAAC;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,OAAM,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,KAAK,MAAM,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,CAAC,GAAE,SAAS;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,sCAAsC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAW,EAAE,UAAQ,aAAW,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,qDAAqD;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,QAAE,GAAE,IAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,IAAE,OAAO,EAAE,UAAQ,WAAU,MAAI,0DAA0D,EAAE,QAAQ;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,QAAQ,KAAI,IAAE,EAAE,QAAQ,OAAM,IAAE,EAAE,QAAQ,QAAO,IAAE,EAAE,QAAQ,MAAK,IAAE,EAAE,gBAAe,IAAE,EAAE,eAAc,IAAE,EAAE,cAAa,IAAE,EAAE,aAAY,IAAE,EAAE,YAAW,IAAE,EAAE;AAAY,MAAG,EAAE,eAAa;AAAe,UAAM,IAAI,MAAM,6CAA6C,EAAE,yCAAyC;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,UAAS,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,aAAY,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,UAAS,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,YAAW,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,sBAAqB,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,iBAAgB,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAE,WAAU,EAAE,YAAW,EAAE,SAAQ,EAAE,UAAS,EAAE,SAAQ,EAAE,UAAS,EAAE,WAAU,EAAE,UAAS,EAAE,aAAY,EAAE,cAAa,EAAE,aAAY,EAAE,eAAc,EAAE,gBAAe,EAAE,eAAc,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,sBAAqB,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,wBAAwB,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,QAAO,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAI,MAAI,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO,EAAE,UAAQ,aAAW,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE;AAAA,EAAE;AAAC,MAAI,IAAE,EAAE,MAAM;AAAO,IAAE,2BAA2B,OAAM,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,MAAK,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAG,CAAC,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,QAAOA,IAAC,GAAE,OAAM,EAAC,KAAI,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAIA,IAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAWA,IAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,EAAE,cAAcA,IAAE,KAAK,IAAE;AAAE,SAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAG,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,GAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAU,UAAM,IAAI,MAAM,8CAA8C,EAAE,OAAO;AAAE,MAAI,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAE,MAAM,SAAO,EAAC,EAAC,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAEA,IAAE,WAAW,CAAC,GAAE,CAAC,GAAE,OAAO;AAAE,SAAO,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,GAAE,GAAE,GAAE,GAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,EAAE,GAAE,KAAGA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,WAAW,EAAE,KAAK,OAAO,QAAO,GAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC,GAAE,IAAEA,IAAE,CAAC;AAAE,SAAO,EAAE,KAAK,MAAM,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC;AAAC;AAAC,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,SAAO,EAAE,KAAK,MAAM,CAAC,GAAE,EAAE,KAAK,MAAM,CAAC,GAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,MAAM,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,GAAE,oBAAmB,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,IAAE,KAAK,MAAM,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,eAAc,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,EAAC,kBAAiB,GAAE,cAAa,GAAE,iBAAgB,GAAE,eAAc,EAAC,IAAE,GAAG,GAAE,CAAC;AAAE,IAAE,KAAK,MAAM,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,WAAU,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,KAAI,MAAM;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,KAAK,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,IAAE,GAAE,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAI,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,CAAC,GAAE,EAAE,UAAQ,aAAWA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,QAAO,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,CAAC;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAzJ,IAA2J,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAEA,KAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,SAAQ,SAAQ,SAAS,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,SAAO,EAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,IAAG,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,CAAC,GAAE,KAAG,QAAMA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAEA,KAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,SAAS;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,IAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAG,MAAI,IAAE,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,CAAC,GAAE,KAAG,QAAM,EAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,SAAQ,SAAQ,SAAS,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,SAAS,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE;AAAE,SAAO,EAAE,UAAQ,cAAY,IAAE,GAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,IAAG,GAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAGA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,CAAC,GAAE,KAAG,QAAMA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM;AAAE,KAAG,GAAE,GAAE,EAAE,QAAO,GAAE,EAAE,MAAM,QAAO,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAE,MAAK,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,GAAE,CAAC,GAAE,IAAE,MAAI,GAAE,IAAE,KAAI,IAAE,OAAO,KAAG,WAAS,CAAC,GAAE,GAAE,GAAE,IAAE,IAAE,CAAC,IAAE,CAAC,GAAG,GAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAO;AAAE,MAAG,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAO,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,EAAE;AAAM,UAAM,IAAI,MAAM,+EAA+E,EAAE,aAAa,EAAE,OAAO;AAAE,MAAI,IAAEA,IAAE,WAAW,EAAE,OAAM,OAAO;AAAE,WAAS,EAAE,GAAE;AAAC,WAAOA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAA,EAAE;AAAC,SAAO,GAAG,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,GAAE,GAAG,EAAE,KAAK,GAAE,MAAI,QAAO,EAAE,CAAC,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,YAAW,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAE,MAAI,KAAG,IAAE,KAAG,MAAI,IAAE,IAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,KAAI,WAAU,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAO,EAAC,GAAEA,IAAC,EAAC,IAAE,GAAE,IAAE,EAAE,UAAU,IAAIA,IAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAWA,IAAE,OAAMA,IAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,EAAE,cAAc,EAAE,KAAK,MAAI,KAAG,GAAG,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,WAAU,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,GAAG,WAAW,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,uBAAsB,UAAS,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,QAAO,GAAE,YAAW,GAAE,cAAa,EAAC,IAAEA,KAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,EAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,MAAM,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,gDAAgD,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,gDAAgD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,kDAAkD,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAM,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,MAAI,IAAE,GAAE,IAAE;AAAE,SAAO,MAAI,EAAE,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,IAAG,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,IAAC,IAAE,GAAE,EAAC,cAAa,GAAE,YAAW,GAAE,UAAS,EAAC,IAAEA;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UAC/83D,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM;AAAA,UACjD,EAAE,OAAO;AAAE,MAAG,EAAE,MAAM,WAAS;AAAE,UAAM,IAAI,MAAM,sDAAsD,EAAE,OAAO;AAAE,MAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,yDAAyD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,8CAA8C,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,qDAAqD;AAAE;AAAA,IAAM,KAAK,GAAE;AAAC,UAAI,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC;AAAE,UAAE,EAAE,gDAAgD,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAI,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC,GAAE,IAAE,MAAM,KAAK,EAAE,SAAS,EAAE,MAAM,CAAC;AAAE,UAAE,EAAE,gDAAgD,GAAE,CAAC;AAAE;AAAA,IAAK;AAAA,IAAC;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAG,EAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAM,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,GAAG,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,0BAAyB,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,EAAC,SAAQA,KAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAEA,IAAE,SAAS,EAAE,QAAO,IAAE,GAAE,CAAC,EAAE,CAAC,GAAE,IAAE,IAAE,IAAE,IAAE,IAAE;AAAE,MAAG,IAAE;AAAE,UAAM,IAAI,MAAM,EAAE,wDAAwD,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAEA,IAAE,WAAW,CAAC,CAAC,GAAE,OAAO,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,KAAG,GAAE,GAAG,EAAE,KAAK,GAAE,EAAE,MAAM,CAAC,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,MAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE;AAAE,UAAO,EAAE,CAAC,GAAE;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,wDAAwD;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK,GAAE;AAAC,UAAE,EAAE,6DAA6D;AAAE;AAAA,IAAK;AAAA,IAAC,KAAK;AAAE,UAAE,EAAE,yDAAyD,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM,KAAK;AAAE,UAAE,EAAE,uDAAuD,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAA,EAAE;AAAC,MAAGA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAE,UAAMA,IAAE,YAAY,EAAE,MAAM,GAAE,IAAI,MAAM,CAAC;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAO,GAAG,GAAE,IAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,SAAO,GAAG,GAAE,KAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,IAAG,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAEA,KAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAO;AAAE,MAAG,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAEA,KAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,SAAQ,SAAQ,SAAQ,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,WAAW,GAAE,SAAS,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,QAAO,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAEA,KAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,QAAQ,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,IAAE,cAAY;AAAE,MAAI,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,WAAU,EAAC,IAAEA,KAAE,EAAC,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,WAAW,CAAC,GAAE,CAAC,GAAE,OAAO;AAAE,IAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,QAAQ,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM;AAAE,IAAE,cAAY;AAAE,MAAI,IAAE,EAAE,WAAW,CAAC,CAAC,GAAE,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,EAAC,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,GAAE,CAAC,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,OAAO;AAAE,SAAO,EAAE,mBAAmB,CAAC,EAAE,IAAI,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,MAAI;AAAR,IAAW,KAAG,GAAG,IAAG,GAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,cAAa,GAAE,oBAAmB,EAAC,IAAE,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,UAAI,MAAI,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM;AAAA,EAAE;AAAC,IAAE,2BAA2B,OAAM,GAAE,EAAE,MAAM,MAAM;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,OAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,KAAG,EAAE,YAAY,EAAE,MAAM,GAAE,GAAE;AAAC,QAAI,IAAE,EAAE,qBAAqB,EAAE,OAAM,CAAC;AAAE,MAAE,QAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI,KAAG,GAAG,EAAE;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,GAAE,SAAQ,EAAC,IAAEA,KAAE,CAAC,IAAE,GAAE,IAAE,EAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,WAAO;AAAE,MAAG,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,GAAG,gBAAgB,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,SAAQ,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,MAAM,EAAE,MAAM,MAAM;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC;AAAE,MAAI,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,CAAC,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAE,EAAE,QAAO,GAAG,EAAE,KAAK,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,SAAQ,UAAS,UAAS,UAAS,QAAO,UAAS,QAAQ,CAAC;AAAC;AAAC,IAAI,MAAI,CAAC,EAAC,QAAO,GAAE,SAAQ,GAAE,OAAMA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAEA,KAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,KAAK,EAAE,MAAM,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,EAAE,SAAO,CAAC,IAAE;AAAE,MAAI,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,WAAW,GAAE,OAAO,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAG,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,QAAO,GAAG,EAAE,KAAK,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAApW,IAAsW,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,IAAI;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG,EAAE,KAAK,MAAM,IAAG,MAAK,CAAC,UAAS,UAAS,QAAO,UAAS,UAAS,UAAS,UAAS,UAAS,UAAS,SAAQ,UAAS,SAAQ,UAAS,UAAS,UAAS,UAAS,QAAQ,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,QAAOA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAEA,KAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,EAAE,KAAK,CAAC,EAAE,MAAM,GAAE,IAAE,IAAI,WAAW,IAAI,WAAW,EAAE,eAAe,CAAC,CAAC,EAAE,MAAM,GAAE,IAAE,EAAE,WAAW,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,IAAG,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAW,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM,KAAI;AAAO,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAE;AAAA,EAAK;AAAC,SAAO,GAAG,GAAE,GAAE,EAAE,MAAM,CAAC,IAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,EAAE,MAAM,SAAO,GAAE,GAAE,EAAE,SAAO,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,WAAU,KAAI,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAEA,KAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,aAAY,GAAE,SAAQ,EAAC,IAAE,GAAG,EAAE,SAAS,EAAE,MAAM,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,SAAM,CAAC,EAAE,WAAW,GAAE,EAAE,OAAM,QAAO,CAAC,GAAE,EAAE,WAAW,CAAC,EAAE,MAAM,GAAE,SAAQ,QAAO,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,IAAI,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,GAAE,EAAE,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,IAAI,CAAC,EAAC,QAAO,GAAE,OAAM,EAAC,OAAK,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,EAAC,EAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAEA,IAAE,WAAW,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,mBAAmB,CAAC,EAAE,KAAK,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,QAAO,YAAW,IAAG;AAAE,IAAI,MAAI,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAI,KAAG,CAAC;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,yBAAwB,YAAS;AAAC,MAAG;AAAC,WAAO,YAAY,SAAS,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,KAAI,IAAG,IAAG,EAAE,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,WAAM;AAAA,EAAE;AAAC,CAAC;AAAE,GAAG,aAAa,gCAA+B,YAAS;AAAC,MAAG,GAAG,IAAI,SAAS;AAAE,WAAM;AAAG,MAAG;AAAC,WAAO,IAAI,eAAe,EAAE,MAAM,YAAY,IAAI,kBAAkB,CAAC,CAAC,GAAE,YAAY,SAAS,IAAI,WAAW,CAAC,GAAE,IAAG,KAAI,KAAI,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAG,IAAG,GAAE,GAAE,GAAE,IAAG,GAAE,KAAI,IAAG,GAAE,GAAE,IAAG,EAAE,CAAC,CAAC;AAAA,EAAC,SAAO,GAAN;AAAS,WAAM;AAAA,EAAE;AAAC,CAAC;AAAE,IAAI,KAAG,GAAG,GAAG,CAAC;AAAd,IAAgB,KAAG,GAAG,GAAG,CAAC;AAA1B,IAA4B,KAAG,GAAG,GAAG,CAAC;AAAE,IAAI,KAAG,GAAG,WAAS;AAAnB,IAAsB,MAAI,GAAG,WAAS;AAAtC,IAAyC,KAAG,cAAc,GAAE;AAAA,EAAC,YAAY,GAAE;AAAC,UAAM,GAAE,KAAK,OAAK,GAAE,KAAK,mBAAiB,GAAE,KAAK,KAAK,KAAK,qBAAqB,EAAE,GAAE,KAAG,KAAK,KAAK,KAAK,gBAAgB,GAAE,KAAK,YAAU,IAAI,GAAG,MAAK,GAAG,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAC,IAAG,KAAK,mBAAkB;AAAE,WAAO,KAAK,KAAK,GAAE,GAAEA,KAAE,GAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,UAAU,WAAW;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAIA,MAAE,EAAE,IAAI;AAAE,WAAO,EAAE,GAAE,EAAC,UAAS,EAAE,IAAI,IAAEA,IAAC;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAI,IAAE,KAAK;AAAmB,QAAG,MAAI,UAAS;AAAC,UAAI,IAAEA;AAAE,WAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,aAAY,GAAE,OAAM,GAAE,OAAM,GAAE,cAAa,MAAK,UAAS,EAAC,CAAC;AAAE;AAAA,IAAM;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,IAAE,EAAE,gBAAgB,CAAC,GAAE,IAAE,KAAK,KAAK,QAAQ,CAAC,MAAI;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,cAAa,GAAE,OAAM,GAAE,OAAM,GAAE,UAAS,EAAC,CAAC,GAAE,KAAK,KAAK,KAAK,eAAe,GAAE,GAAE,CAAC,GAAEA,OAAG,QAAM,KAAK,KAAK,OAAO,IAAI,IAAI,WAAWA,IAAE,QAAOA,IAAE,YAAW,CAAC,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,WAAO,KAAK,SAAS,CAAC;AAAA,EAAC;AAAA,EAAC,SAAS,GAAEA,KAAE,GAAE;AAAC,QAAG,EAAC,cAAa,GAAE,OAAM,GAAE,OAAM,GAAE,aAAY,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,MAAI;AAAS,cAAOA,OAAG,QAAMA,QAAI,OAAK,KAAG,QAAM,KAAG,EAAE,UAAQ,IAAE,EAAE,MAAMA,KAAE,CAAC;AAAE,IAAAA,MAAEA,OAAG,GAAE,IAAE,KAAG,EAAE,cAAc,CAAC;AAAE,QAAI,IAAE,EAAE,gBAAgB,CAAC,GAAE,IAAE,KAAK,KAAK,OAAO,MAAM,IAAEA,MAAE,GAAE,IAAE,IAAE,CAAC;AAAE,WAAO,IAAI,EAAE,QAAO,CAAC;AAAA,EAAC;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,UAAU,IAAI,CAAC,GAAE;AAAC,UAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,UAAG,EAAE,YAAW,CAACA,OAAG,EAAE,WAAS;AAAE,eAAM;AAAG,WAAK,KAAK,MAAM,EAAE,YAAY,GAAE,KAAK,KAAK,KAAK,YAAY,EAAE,EAAE,GAAE,KAAK,UAAU,OAAO,CAAC;AAAA,IAAC;AAAC,WAAM;AAAA,EAAE;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,IAAE,KAAK,UAAU,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,IAAAA,OAAG,QAAMA,IAAE;AAAA,EAAU;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,gBAAgB,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,EAAE;AAAA,EAAY;AAAA,EAAC,UAAS;AAAC,SAAK,KAAK,KAAK,QAAQ,GAAE,aAAY,KAAK,QAAM,KAAK,KAAK,QAAQ,oBAAoB,GAAE,KAAK,OAAK;AAAA,EAAI;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,YAAW,MAAE;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI;AAAE,QAAG,KAAG;AAAK,UAAE,KAAK,MAAM,KAAG,OAAK,IAAE,MAAK,GAAEA,GAAC;AAAA,SAAM;AAAC,UAAI,IAAE,KAAK;AAAmB,UAAE,EAAC,IAAG,EAAC,GAAE,KAAK,UAAU,IAAI,GAAE,EAAC,IAAG,GAAE,cAAa,GAAE,OAAM,GAAE,OAAMA,KAAE,UAAS,EAAC,CAAC;AAAE,UAAI,IAAE,EAAE,cAAc,CAAC;AAAE,WAAK,KAAK,KAAK,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,WAAM,EAAC,QAAO,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,mBAAmB,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,EAAC,GAAE;AAAC,QAAI,IAAE,KAAK,KAAK,OAAO,QAAO,EAAC,cAAa,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,YAAOA,KAAE;AAAA,MAAC,KAAI;AAAU,eAAO,IAAI,aAAa,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAQ,eAAO,IAAI,WAAW,GAAE,GAAE,CAAC;AAAA,MAAE,KAAI;AAAO,eAAO,IAAI,WAAW,GAAE,GAAE,CAAC;AAAA,MAAE;AAAQ,cAAM,IAAI,MAAM,iBAAiBA,KAAG;AAAA,IAAC;AAAA,EAAC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,SAAM,CAAC,GAAEA,SAAK,EAAE,MAAM,GAAE,EAAC,aAAY,cAAa,CAAC,EAAE,KAAK,OAAG;AAAC,MAAE,MAAI,EAAE,IAAI,EAAE,uCAAuC,IAAI,GAAE,EAAE,YAAY,EAAE,KAAK,OAAG;AAAC,kBAAY,YAAY,GAAE,CAAC,EAAE,KAAK,OAAG;AAAC,QAAAA,IAAE,EAAE,UAAS,EAAE,MAAM;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC;AAAA,EAAC,CAAC,GAAE,CAAC;AAAE;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAK,WAAO;AAAG,MAAI,IAAE;AAAyB,SAAO,KAAG,IAAE,IAAE,yCAAuC,MAAI,IAAE,gCAA+B,MAAI,QAAM,GAAG,CAAC,KAAG,OAAK,GAAG,CAAC,IAAEA,MAAE;AAAC;AAAC,eAAe,KAAI;AAAC,MAAG,CAAC,GAAE,CAAC,IAAE,MAAM,QAAQ,IAAI,CAAC,EAAE,EAAE,SAAS,uBAAuB,GAAE,EAAE,EAAE,SAAS,8BAA8B,CAAC,CAAC;AAAE,SAAO,IAAI,QAAQ,CAACA,KAAE,MAAI;AAAC,QAAI,IAAE,CAAC;AAAE,MAAE,aAAW,CAAC,GAAE,MAAI;AAAC,UAAG,EAAE,SAAS,YAAY,GAAE;AAAC,YAAI,IAAE,GAAG,mBAAmB,QAAQ,OAAM,KAAK,GAAE,IAAE,IAAI,KAAK,CAAC,CAAC,GAAE,EAAC,MAAK,yBAAwB,CAAC;AAAE,eAAO,IAAI,gBAAgB,CAAC;AAAA,MAAC;AAAC,aAAO,EAAE,SAAS,OAAO,IAAE,GAAG,GAAE,GAAE,MAAI,OAAK,KAAG,CAAC,IAAE,IAAE;AAAA,IAAC,GAAE,OAAK,EAAE,kBAAgB,IAAI,GAAG,GAAE,GAAE,MAAI,OAAK,KAAG,EAAE,CAAC;AAAG,QAAI,IAAE;AAAG,MAAE,UAAQ,MAAI;AAAC,UAAG,KAAG;AAAG;AAAO,WAAG,MAAG,EAAE,EAAC,SAAQ,kMAAiM,CAAC;AAAA,IAAC;AAAE,QAAI;AAAE,SAAG,KAAG,MAAI,QAAM,EAAE,sBAAoB,IAAI,KAAK,CAAC,yCAAuC,GAAG,SAAS,CAAC,GAAE,EAAC,MAAK,kBAAiB,CAAC,GAAE,IAAE,GAAG,CAAC,KAAG,IAAE,IAAI,CAAC,GAAE,EAAE,KAAK,OAAG;AAAC,UAAE,MAAG,KAAG;AAAG,UAAI,IAAE;AAAK,QAAE,OAAK,EAAC,MAAK,EAAE,MAAM,QAAO,MAAK,CAAC,CAAC,GAAE,sBAAqB,EAAE,MAAM,2BAA0B,MAAK,CAAC,QAAQ,CAAC,GAAE,iBAAgB,EAAE,MAAM,qBAAoB,UAAS,CAAC,CAAC,GAAE,gBAAe,EAAE,MAAM,mBAAkB,MAAK,CAAC,UAAS,UAAS,QAAQ,CAAC,GAAE,aAAY,EAAE,MAAM,gBAAe,GAAE,CAAC,QAAQ,CAAC,GAAE,SAAQ,EAAE,MAAM,WAAU,GAAE,CAAC,CAAC,EAAC,GAAEA,IAAE,EAAC,MAAK,EAAC,CAAC;AAAA,IAAC,CAAC,EAAE,MAAM,CAAC;AAAA,EAAC,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAI;AAAU,aAAO,IAAI,aAAa,CAAC;AAAA,IAAE,KAAI;AAAQ,aAAO,IAAI,WAAW,CAAC;AAAA,IAAE,KAAI;AAAO,aAAO,IAAI,WAAW,CAAC;AAAA,IAAE;AAAQ,YAAM,IAAI,MAAM,iBAAiB,GAAG;AAAA,EAAC;AAAC;AAAC,IAAI,MAAI,CAAC,0BAAyB,+BAA8B,sCAAsC;AAAtG,IAAwG,KAAG;AAA3G,IAAgH,KAAG;AAAnH,IAAwH,KAAG,CAAC;AAA5H,IAA8H,KAAG;AAAjI,IAAoI,KAAG;AAAG,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,MAAG,GAAG,mGAAmG,GAAE;AAAG,UAAM,IAAI,MAAM,gIAAgI;AAAE,OAAG,GAAE,KAAG;AAAC;AAAC,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,MAAG;AAAG,UAAM,IAAI,MAAM,iIAAiI;AAAE,MAAG,OAAO,KAAG;AAAS,SAAG;AAAA,OAAM;AAAC,SAAG;AAAE,QAAIA,MAAE,IAAI,OAAO,OAAG,GAAG,CAAC,KAAG,IAAI;AAAE,QAAGA,IAAE,SAAO;AAAE,YAAM,IAAI,MAAM,2DAA2DA,IAAE,KAAK,GAAG,gKAAgK;AAAA,EAAC;AAAC,OAAG;AAAC;AAAC,IAAI,KAAG;AAAP,IAAU,KAAG;AAAG,SAAS,IAAI,GAAE;AAAC,OAAG;AAAC;AAAC,SAAS,MAAK;AAAC,MAAG,OAAK;AAAG,UAAM,IAAI,MAAM,+BAA+B;AAAE,SAAO;AAAE;AAAC,IAAI,MAAI;AAAQ,IAAI,MAAI;AAAE,GAAG,QAAO,YAAS;AAAC,MAAG,EAAC,MAAK,EAAC,IAAE,MAAM,GAAG;AAAE,SAAO,IAAI,GAAG,CAAC;AAAC,GAAE,GAAG;AAAE,IAAI,KAAG,EAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,EAAE;AAAE,GAAG,aAAa,sBAAqB,MAAI,IAAE;AAAE,GAAG,aAAa,8BAA6B,MAAI,EAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,IAAE;AAAE,GAAG,aAAa,4BAA2B,MAAI,KAAE;AAAE,GAAG,aAAa,qCAAoC,MAAI,GAAG;AAAE,GAAG,aAAa,2BAA0B,MAAI,KAAE;AAAE,GAAG,aAAa,kCAAiC,MAAI,IAAE;AAAE,GAAG,aAAa,iCAAgC,MAAI,KAAE;AAAE,GAAG,aAAa,sDAAqD,MAAI,CAAC;AAAE,GAAG,aAAa,sCAAqC,MAAI,KAAE;AAAE,GAAG,aAAa,uBAAsB,MAAI,EAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,UAAI,KAAK,SAAO,EAAE,QAAO,KAAK,eAAa,EAAE,cAAa,KAAK,qBAAmB,KAAK,sBAAsB;AAAA,EAAE;AAAA,EAAC,wBAAuB;AAAC,QAAG,KAAK,QAAQ,GAAE;AAAC,UAAG,KAAK,aAAa,WAAW,KAAK;AAAE,eAAO,OAAO,KAAK,aAAa,MAAM,KAAK,CAAC;AAAE,UAAG,KAAK,aAAa,WAAW,IAAI;AAAE,eAAO;AAAA,IAAE;AAAC,WAAO;AAAA,EAAC;AAAA,EAAC,UAAS;AAAC,WAAO,KAAK,WAAS;AAAA,EAAO;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,iBAAe,GAAE,KAAK,iBAAe,GAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,cAAY,oBAAI,OAAI,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,IAAE,OAAG,IAAE,MAAG;AAAC,QAAI,GAAE,IAAE,GAAG,GAAEA,GAAC;AAAE,WAAO,KAAG,KAAK,YAAY,IAAI,CAAC,KAAG,KAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,YAAY,IAAI,CAAC,EAAE,SAAO,KAAG,IAAE,KAAK,YAAY,IAAI,CAAC,EAAE,IAAI,GAAE,KAAK,qBAAmB,IAAE,KAAK,OAAO,aAAa,EAAC,MAAK,GAAE,OAAMA,KAAE,kBAAiB,EAAC,CAAC,GAAE,KAAK,qBAAmB,OAAK,IAAE,KAAK,OAAO,aAAa,EAAC,MAAK,GAAE,OAAMA,KAAE,kBAAiB,EAAC,CAAC,GAAE,KAAK,qBAAmB,IAAG,KAAK,YAAY,IAAI,CAAC,KAAG,KAAK,YAAY,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,YAAY,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,kBAAiB,KAAK,gBAAc,GAAE;AAAA,EAAC;AAAA,EAAC,cAAc,GAAEA,KAAE,GAAE,IAAE,MAAG;AAAC,QAAG,KAAK,YAAY,SAAO;AAAE;AAAO,QAAI,IAAE,GAAGA,KAAE,CAAC,GAAE,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0CAA0C;AAAE,MAAE,CAAC,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,EAAE,IAAI,GAAE,KAAK,kBAAiB,KAAK,gBAAcA,KAAE,KAAG,KAAK,YAAY,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,qBAAmB,EAAE,QAAQ,GAAE,KAAK,qBAAmBA;AAAA,EAAE;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,oBAAmB;AAAC,WAAO,KAAK;AAAA,EAAc;AAAA,EAAC,UAAS;AAAC,SAAK,YAAY,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,YAAY,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,cAAY,oBAAI,OAAI,KAAK,cAAY,oBAAI,OAAI,KAAK,iBAAe,GAAE,KAAK,iBAAe,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,GAAG,KAAK;AAAG;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,SAAO,GAAE,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,IAAEA,MAAE,GAAE,IAAE,GAAG,GAAEA,KAAE,GAAE,CAAC;AAAE,QAAG,KAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,gBAAc,GAAE,KAAK,mBAAkB,KAAK,aAAa,IAAI,CAAC,EAAE,SAAO,GAAE;AAAC,WAAK;AAAkB,UAAI,IAAE,KAAK,aAAa,IAAI,CAAC,EAAE,MAAM;AAAE,aAAO,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,IAAC;AAAC,SAAK,qBAAmB;AAAE,QAAI,IAAE,KAAK,OAAO,cAAc,EAAC,MAAK,CAAC,GAAEA,GAAC,GAAE,QAAO,GAAE,OAAM,EAAC,CAAC;AAAE,WAAO,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,KAAK,aAAa,SAAO;AAAE;AAAO,QAAI,IAAE,GAAGA,KAAE,GAAE,GAAE,CAAC;AAAE,SAAK,aAAa,IAAI,CAAC,KAAG,KAAK,aAAa,IAAI,GAAE,CAAC,CAAC,GAAE,KAAK,aAAa,IAAI,CAAC,EAAE,KAAK,CAAC,GAAE,KAAK,mBAAkB,KAAK;AAAkB,QAAI,IAAE,KAAK,aAAa,IAAI,CAAC,GAAE,IAAE,EAAE,QAAQ,CAAC;AAAE,QAAG,IAAE;AAAE,YAAM,IAAI,MAAM,0EAA0E;AAAE,MAAE,OAAO,GAAE,CAAC;AAAE,QAAI,IAAE,GAAG,CAAC,GAAE,IAAEA,MAAE,IAAE;AAAE,SAAK,gBAAc;AAAA,EAAC;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK;AAAA,EAAe;AAAA,EAAC,UAAS;AAAC,SAAK,aAAa,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,aAAa,QAAQ,CAAC,GAAEA,QAAI;AAAC,QAAE,QAAQ,OAAG;AAAC,UAAE,QAAQ;AAAA,MAAC,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,eAAa,oBAAI,OAAI,KAAK,eAAa,oBAAI,OAAI,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,GAAE,KAAK,eAAa,GAAE,KAAK,oBAAkB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,SAAM,GAAG,KAAK,KAAKA,OAAK;AAAG;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAa,WAAO;AAAG,QAAM,IAAI,MAAM,GAAG,qBAAqB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAG,KAAK,IAAI,GAAG,CAAC,IAAE;AAAE,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAIA,MAAE,EAAE,QAAO,IAAE,UAAS,IAAE,EAAE,IAAI,OAAG,GAAG,KAAK,EAAE,CAAC,GAAG,GAAE,IAAE,IAAI,MAAMA,MAAE,CAAC;AAAE,IAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC;AAAE,WAAQ,IAAEA,MAAE,GAAE,KAAG,GAAE,EAAE;AAAE,MAAE,CAAC,IAAE,IAAI,EAAE,IAAE,CAAC,OAAO,EAAE,IAAE,CAAC;AAAK,SAAO;AAAC;AAAC,IAAI,KAAG,CAAC,GAAE,GAAEA,QAAIA,QAAI,UAAQ,aAAa,mBAAmB,SAAO;AAAA;AAAA;AAAA;AAAA,4DAIhvqB;AAAA;AAAA,oDAER;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAMvC,IAAI,KAAG,CAAC,GAAE,GAAEA,KAAE,GAAE,MAAI;AAAC,MAAI,IAAE,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAIA,KAAE,GAAE,CAAC,GAAE,IAAE,EAAE,mBAAmB,EAAC,MAAK,GAAE,OAAM,EAAE,YAAY,KAAI,CAAC,GAAE,IAAE,EAAE,sBAAsB,EAAC,SAAQ,EAAC,QAAO,GAAE,YAAW,SAAQ,GAAE,OAAM,EAAE,YAAY,MAAK,QAAO,OAAM,CAAC,GAAE,IAAE,EAAE,EAAE,IAAI,qBAAqB;AAAE,MAAG,MAAI,IAAG;AAAC,QAAE,EAAE,YAAY;AAAE,QAAI,IAAE,EAAE,MAAM,GAAG;AAAE,KAAC,MAAI,SAAO,EAAE,KAAK,OAAG,EAAE,YAAY,EAAE,SAAS,CAAC,CAAC,OAAK,QAAQ,MAAM,CAAC,GAAE,QAAQ,MAAM,CAAC,GAAE,QAAQ,SAAS;AAAA,EAAE;AAAC,SAAO;AAAC;AAAhb,IAAkb,KAAG,CAAC,GAAE,IAAE,UAAQ;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK;AAAE,aAAM,GAAG;AAAA,IAAI,KAAK;AAAE,aAAM,QAAQ;AAAA,IAAK,KAAK;AAAE,aAAM,QAAQ;AAAA,IAAK,KAAK;AAAE,aAAM,QAAQ;AAAA,IAAK;AAAQ,YAAM,IAAI,MAAM,GAAG,eAAe,qBAAqB;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,KAAG;AAAE,WAAM;AAAM,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,MAAI;AAAE,WAAM;AAAO,MAAG,MAAI;AAAE,WAAM;AAAO,QAAM,MAAM,gBAAgB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,MAAG,MAAI;AAAE,WAAM;AAAI,QAAM,MAAM,SAAS,wBAAwB;AAAC;AAAC,SAAS,KAAK,GAAE;AAAC,MAAI;AAAE,UAAO,EAAE,QAAO;AAAA,IAAC,KAAK;AAAE,UAAE;AAAA;AAAA;AAE9iC;AAAA,IAAM,KAAK;AAAE,UAAE;AAAA,kBACL,EAAE,CAAC;AAAA;AACb;AAAA,IAAM;AAAQ,YAAM,MAAM,aAAa;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA;AAAE,SAAOA,MAAE;AAAA,OACnF,IAAI,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAWF,IAAE,4BAA0B;AAAA;AAAA,OAEhCA;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,SAAM;AAAA,6BACD,EAAE,cAAc,CAAC,MAAM,EAAE,cAAc,CAAC,MAAM,EAAE,cAAc,CAAC;AAAA;AAC3F;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,CAAC,GAAE,IAAEA,IAAE,cAAc,CAAC,IAAEA,IAAE,cAAc,CAAC,IAAEA,IAAE,cAAc,CAAC;AAAE,MAAGA,IAAE,kBAAgBA,IAAE,kBAAgBA,IAAE,kBAAgB,GAAE,EAAE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAUlJ,GAAGA,GAAC,IAAE,8BAA4B;AAAA,qEACyB;AAAA;AAAA;AAAA;AAAA,KAIhE,GAAEA,IAAE,cAAa;AAAC,MAAE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,uEAOyC,GAAG,EAAE,OAAMA,IAAE,eAAe;AAAA;AAAA,OAE5F;AAAE,QAAI,IAAE,GAAGA,GAAC;AAAE,WAAM,CAAC,IAAG,EAAE,KAAK;AAAA,CACrC,GAAE,GAAG,EAAE,KAAK,GAAEA,IAAE,YAAY,GAAE,GAAG,GAAEA,GAAC,CAAC,EAAE,KAAK;AAAA,CAC5C;AAAA,EAAC;AAAC,MAAI,GAAE,GAAE,IAAE;AAAgD,EAAAA,IAAE,cAAc,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,GAAG,EAAE,CAAC,EAAE,MAAM,MAAM;AAAE,SAAG,GAAG,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,YAAY,OAAM,IAAE,EAAE,CAAC,EAAE,MAAM,SAAO,GAAE,IAAE,GAAG,CAAC,GAAE,KAAG,GAAG,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,kBAAkB;AAAA,EAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,MAAM,MAAM;AAAE,OAAG,cAAc,OAAM,IAAE,EAAE,MAAM,SAAO,GAAE,IAAE,GAAG,CAAC,GAAE,KAAG;AAAA,4BACvU,OAAMA,IAAE,SAAO,KAAG,iBAAgBA,IAAE,aAAW,KAAGA,IAAE,WAAU,KAAG,MAAK,IAAE,IAAI,CAAC,GAAE,EAAE,KAAK,CAAC,GAAEA,IAAE,SAAO,EAAE,KAAK;AAAA;AAAA,KAEhI,IAAE,EAAE,KAAK;AAAA,qEACuD,GAAG,EAAE,OAAMA,IAAE,eAAe;AAAA,KAC5F,GAAEA,IAAE,cAAc,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,KAAK;AAAA,2BACnB,IAAE,yBAAyB,YAAYA,IAAE,qBAAmB,GAAG,EAAE,CAAC,EAAE,OAAMA,IAAE,mBAAmB,CAAC,CAAC,IAAE,GAAG,EAAE,CAAC,EAAE,OAAMA,IAAE,eAAe;AAAA,SACpJ;AAAA,EAAC,CAAC,GAAE,MAAI,MAAI,EAAE,KAAK;AAAA,2BACD,IAAEA,IAAE,cAAc;AAAA,OACtC;AAAE,MAAI,IAAE,IAAI,EAAE,OAAMA,IAAE,cAAc,GAAE,IAAE,CAAC,IAAG,EAAE,KAAK;AAAA,CACzD,IAAE,KAAI,GAAG,EAAE,KAAK,GAAE,GAAE,IAAI,EAAE,MAAM,MAAM,CAAC;AAAE,EAAAA,IAAE,UAAQ,EAAE,KAAK,IAAI,EAAE,OAAM,EAAE,OAAMA,IAAE,eAAe,CAAC,GAAEA,IAAE,cAAc,QAAQ,CAAC,GAAE,MAAI;AAAC,MAAE,KAAK,GAAG,GAAG,EAAE,CAAC,EAAE,OAAM,CAAC,GAAG;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,IAAI,GAAE,EAAE,OAAMA,IAAE,qBAAmBA,IAAE,mBAAmB,CAAC,IAAEA,IAAE,iBAAgBA,IAAE,eAAe,EAAE,WAAS,EAAE,MAAM,MAAM,CAAC,EAAE,KAAK;AAAA,CACpT;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAKA,IAAE,YAAY,CAAC;AAAE,MAAI,IAAE,GAAGA,GAAC;AAAE,SAAO,EAAE,KAAK,GAAG,GAAEA,GAAC,CAAC,GAAE,EAAE,KAAK;AAAA,CAC9E;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE;AAAU,MAAG,EAAE;AAAa,WAAO;AAAE,MAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,EAAE,KAAK,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,iBAAiB,EAAE,OAAM,EAAE,KAAK,CAAC,GAAE,IAAEA,IAAE,IAAI,OAAG,EAAE,YAAY,EAAE,OAAM,EAAE,KAAK,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAG,CAAC,EAAE,KAAK,GAAG,GAAE,IAAE,GAAG,CAAC,IAAE,iBAAe;AAAG,SAAO,KAAG,OAAK,EAAE,gBAAc,EAAE,cAAc,KAAK,GAAG,IAAE,MAAI,EAAE,IAAI,OAAG,EAAE,MAAM,EAAE,KAAK,GAAG,IAAE,EAAE,KAAK,GAAG,IAAE,EAAE,cAAc,KAAK,GAAG,IAAE,IAAE,IAAE,GAAE;AAAC;AAAC,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IA2DpZ,MAAI;AAAA;AAAA;AAAA;AAAA;AAIJ,SAAS,GAAG,GAAE,IAAE,IAAG;AAAC,MAAIA,MAAE,EAAE,QAAO,IAAE,MAAI,KAAG,MAAM,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,qBAAmB,sBAAqB,IAAE,MAAI,KAAG,GAAG,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,kBAAgB;AAAkB,MAAGA,OAAG;AAAE,WAAM,MAAM;AAA0C,MAAI,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,GAAGA,GAAC,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAEA,KAAE;AAAI,MAAE,KAAK,IAAI,GAAG;AAAE,MAAG,EAAE,WAAS;AAAE,WAAM,UAAU;AAAA,kCACvV,qCAAqC;AAAA;AAAA;AAEhE,MAAI;AAAE,SAAO,IAAE,wBAAsB,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,OAAO,EAAE,CAAC,yBAAyB,KAAK,GAAG,CAAC,KAAI,IAAE,MAAI,EAAE,SAAO,IAAE,OAAO,EAAE,IAAE,CAAC,gBAAgB,EAAE,CAAC,gBAAgB,KAAK,GAAG,CAAC,MAAI,qBAAqB,EAAE,CAAC,gBAAgB,KAAK,GAAG,CAAC;AAAI,WAAM,GAAG,MAAM;AAAA,EAAI,CAAC,EAAE,KAAK,EAAE,GAAE;AAAA,SACxQ,qBAAqB;AAAA,QACtB;AAAA,eACO,KAAK,EAAE,KAAK,GAAG;AAAA;AAAA;AAE3B;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE,MAAK,IAAE,EAAE,MAAM,QAAO,IAAE,GAAG,CAAC,GAAE,IAAE,QAAMA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,GAAE,IAAE,CAAC,MAAK,MAAK,MAAK,MAAK,MAAK,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI;AAAE,MAAG,IAAE;AAAE,WAAM;AAAA,WAC5L,UAAU,GAAG,CAAC;AAAA,iBACR,GAAG,CAAC,KAAKA;AAAA;AAAA;AAEpB,MAAI,IAAE,YAAYA,IAAE,OAAO,CAAC,EAAE,YAAY,IAAEA,IAAE,MAAM,CAAC,UAAS,IAAE,GAAG;AAAK,SAAO,MAAI,MAAI,IAAE,OAAM;AAAA,SAC5F,KAAK,SAAS,GAAG,CAAC;AAAA,eACZ,GAAG,CAAC,KAAKA,yBAAuB,KAAK,KAAK,EAAE,KAAK,GAAG;AAAA,UACzD,KAAK,MAAI,IAAE,KAAG,MAAM;AAAA;AAAA;AAE1B;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAK,IAAE,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,QAAM,IAAE,YAAW,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,QAAO,IAAE,GAAG,CAAC;AAAE,MAAG,EAAE,YAAY,EAAE,OAAM,CAAC,KAAG;AAAE,WAAM;AAAA,SACpK,gCAAgC,GAAGA,GAAC;AAAA,eAC9B,GAAGA,GAAC,KAAK;AAAA;AAAA;AAAA,SAGf,oBAAoB,SAAS,GAAGA,GAAC;AAAA,eAC3B,GAAGA,GAAC,KAAK,KAAK,IAAE,IAAE,qCAAmC,WAAWA,QAAI,IAAE,KAAG,MAAMA;AAAA;AAAA;AAExF,MAAI,IAAE,EAAE,iBAAiB,EAAE,OAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE;AAAG,MAAG,MAAI;AAAE,WAAM;AAAA,SAC3D,gCAAgC,GAAGA,GAAC;AAAA,kBAC3B;AAAA;AAAA;AAAA,SAGT,oBAAoB,SAAS,GAAGA,GAAC;AAAA,kBACxB;AAAA;AAAA;AAEd,MAAE,KAAG,EAAE,UAAQ,IAAE,IAAE,gBAAc,IAAE,EAAE,IAAI,OAAG,UAAU,GAAG,IAAE,CAAC,QAAQ,EAAE,KAAK;AAAA,CAC9E;AAAE,MAAI,IAAE;AAAG,MAAG,IAAE,KAAG,IAAE;AAAE,QAAE;AAAA,WAAiB,IAAE,GAAE;AAAC,QAAI,IAAE,GAAG,CAAC,GAAE,IAAE,EAAE,MAAM,IAAI,CAAC,GAAE,MAAI,UAAU,GAAG,IAAE,CAAC,GAAG,EAAE,KAAK,IAAI;AAAE,QAAE,GAAG,KAAK;AAAA,EAAI;AAAM,QAAE;AAAS,MAAI,IAAE,YAAY,EAAE,OAAO,CAAC,EAAE,YAAY,IAAE,EAAE,MAAM,CAAC,UAAS,IAAE,GAAG;AAAK,SAAM;AAAA,OACvN,gCAAgC,GAAGA,GAAC;AAAA;AAAA,MAErC;AAAA,aACO,GAAGA,GAAC,KAAK,uBAAuB,KAAK,MAAM,KAAKA,QAAI,IAAE,KAAG,MAAMA;AAAA;AAAA;AAAA,OAGrE,sBAAsB,SAAS,GAAGA,GAAC;AAAA;AAAA,MAEpC;AAAA,aACO,GAAGA,GAAC,KAAK,uBAAuB,KAAK,MAAM,KAAKA,QAAI,IAAE,KAAG,MAAMA;AAAA;AAAA;AAE3E;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAI,IAAE,IAAI,GAAEA,GAAC;AAAE,SAAO,EAAE,MAAM,UAAQ,EAAE,WAAS,KAAG,IAAI,GAAE,GAAEA,KAAE,CAAC,IAAG;AAAC;AAAC,SAAS,IAAI,GAAE,GAAE;AAAC,MAAG,EAAC,GAAEA,KAAE,GAAE,IAAE,CAAC,GAAE,GAAE,IAAE,CAAC,EAAC,IAAE,GAAE,IAAE,EAAE,QAAO,IAAEA,IAAE,SAAO,EAAE,SAAO,EAAE;AAAO,MAAG,MAAI;AAAE,WAAM;AAAG,MAAGA,IAAE,WAAS;AAAE,WAAM,2BAA2B,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAIlP,MAAI,IAAE,IAAG,IAAE,CAACA,KAAE,GAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,QAAI,IAAE,EAAE,CAAC;AAAE,QAAG,EAAE,WAAS;AAAE,UAAG,EAAE,WAAS;AAAE,aAAG,QAAQ,EAAE,CAAC,oBAAoB;AAAA,WAAW;AAAC,YAAI,IAAE,GAAG,GAAE,mBAAmB;AAAE,aAAG,YAAY,oBAAoB;AAAO,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,eAAG,QAAQ,EAAE,CAAC,YAAY,OAAO,EAAE,CAAC,MAAK,MAAI,EAAE,SAAO,IAAE,KAAG,QAAQ,EAAE,IAAE,CAAC,YAAY,QAAQ,EAAE,CAAC,OAAO,EAAE,CAAC,OAAK,KAAG,QAAQ,YAAY,QAAQ,EAAE,CAAC,OAAO,EAAE,CAAC;AAAA,MAAI;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,IAAI,GAAG;AAAE,MAAI,IAAE,GAAG,CAAC,GAAE,IAAE,2BAA2B;AAAA,IACne;AAAA;AACF,SAAO,EAAE,WAAS,IAAE,KAAG,UAAU,YAAU,KAAG,UAAU,KAAK,EAAE,KAAK,GAAG,SAAQ;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE;AAAG,UAAO,GAAE;AAAA,IAAC,KAAK;AAAA,IAAE,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAI7H;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAIhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAIhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAKhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAQhB;AAAA,IAAM,KAAK;AAAE,WAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAShB;AAAA,IAAM;AAAQ,QAAE,OAAO,OAAG,MAAI,eAAe,UAAU;AAAE;AAAA,EAAK;AAAC,SAAO;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAO,EAAE,SAAS,CAAC,MAAI,KAAG,EAAE,SAAS,CAAC,MAAI;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,GAAE;AAAC,MAAG,MAAI;AAAU,WAAO,GAAG,GAAE,KAAK;AAAE,MAAG,MAAI,WAAS,MAAI;AAAO,WAAO,GAAG,GAAE,KAAK;AAAE,QAAM,IAAI,MAAM,QAAQ,qBAAqB;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,QAAO,IAAE,GAAG,GAAEA,GAAC,GAAE,IAAE,gDAAgD,GAAGA,GAAC;AAAA,4BACxW;AAAA;AAAA;AAAA,sDAG0B,GAAGA,KAAE,KAAK;AAAA,4BACpC;AAAA;AAAA;AAEtB,MAAG,KAAG,GAAE;AAAC,QAAI,IAAE,CAAC,MAAK,MAAK,MAAK,MAAK,MAAK,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,IAAE,GAAG,CAAC;AAAE,SAAG;AAAA,6BAC9C,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI,cAAc,GAAGA,GAAC;AAAA,mDAC5B,KAAK,EAAE,KAAK,IAAI;AAAA,oCAC/BA,QAAI,IAAE,KAAG,MAAMA;AAAA;AAAA,gCAEnB,EAAE,IAAI,OAAG,GAAG,SAAS,EAAE,KAAK,IAAI,cAAc,GAAGA,KAAE,KAAK;AAAA,mDACrC,KAAK,EAAE,KAAK,IAAI;AAAA,uCAC5BA,QAAI,IAAE,KAAG,MAAMA;AAAA;AAAA;AAAA,EAEjD;AAAC,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE;AAAwB,MAAE,EAAE,QAAQ,GAAE,OAAG,gBAAc,CAAC;AAAE,MAAIA,MAAE;AAAwB,SAAO,IAAE,EAAE,QAAQA,KAAE,CAAC,GAAE,GAAE,MAAI,MAAM,iBAAiB,GAAG,GAAE;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,SAAM,EAAE,EAAE,eAAe,eAAe,GAAG,KAAG,EAAE,eAAe,EAAE,WAAS,KAAG,EAAE,eAAe,eAAe,GAAG,KAAG,EAAE,eAAe,EAAE,WAAS;AAAE;AAAC,IAAI,KAAG,CAAC;AAAE,GAAG,IAAG,EAAC,oBAAmB,MAAI,IAAG,mBAAkB,MAAI,IAAG,kBAAiB,MAAI,IAAG,iBAAgB,MAAI,GAAE,+BAA8B,MAAI,IAAG,+BAA8B,MAAI,IAAG,+BAA8B,MAAI,IAAG,oBAAmB,MAAI,GAAE,mBAAkB,MAAI,IAAG,yBAAwB,MAAI,IAAG,CAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAI,IAAE;AAAE,WAAQA,MAAE,GAAEA,MAAE,EAAE,QAAOA;AAAI,SAAG,EAAEA,GAAC;AAAE,SAAO;AAAC;AAAE,SAAS,IAAI,GAAE,GAAE;AAAC,MAAG,EAAE,WAAS,EAAE;AAAO,UAAM,IAAI,MAAM,+BAA+B,EAAE,qCAAqC,EAAE,kCAAkC;AAAE,SAAO,EAAE,MAAM,CAACA,KAAE,MAAIA,MAAE,EAAE,CAAC,MAAI,CAAC;AAAC;AAAC,SAAS,EAAE,GAAE,GAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE;AAAC,MAAG,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,GAAE,EAAE,IAAE,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAE,GAAE,EAAE,IAAE,KAAK,KAAK,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,KAAGA,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,IAAE,CAAC;AAAE,SAAM,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,IAAE,OAAG;AAAC,MAAI,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,SAAO,MAAI,KAAG,MAAI,EAAE,CAAC,IAAE,IAAG,KAAG,MAAIA,OAAG,OAAK,EAAE,CAAC,IAAE,KAAI,EAAC,eAAc,GAAE,mBAAkB,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAGA;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,KAAG,IAAE,CAAC,GAAE,IAAG,CAAC,IAAE,KAAG,IAAE,CAAC,IAAG,GAAE,CAAC,IAAE,CAAC,IAAG,IAAG,CAAC;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG;AAAC,MAAGA;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAE,EAAE,IAAI,OAAG,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,KAAG,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAG,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,SAAS,EAAE,GAAE;AAAC,SAAM,EAAC,GAAE,EAAE,IAAI,CAAC,GAAEA,QAAIA,GAAC,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,MAAI,aAAW,MAAI,WAAS,MAAI,UAAQ,MAAI;AAAS,WAAO;AAAE,MAAG,MAAI;AAAY,WAAO;AAAE,QAAM,IAAI,MAAM,iBAAiB,GAAG;AAAC;AAAC,SAAS,KAAI;AAAC,UAAO,OAAO,UAAQ,eAAa,OAAO,qBAAmB,gBAAc,CAAC,CAAC,UAAU;AAAG;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,QAAM,QAAQ,CAAC,MAAI,IAAE,CAAC,CAAC,IAAG,EAAE,QAAQ,CAAAA,QAAG;AAAC,IAAAA,OAAG,QAAM,EAAE,OAAOA,IAAE,UAAQ,aAAY,MAAI,GAAG,6DAA6D;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,+BAA6B,CAAC,IAAE,gCAA+B,EAAE,EAAE,sBAAoB,CAAC,IAAE,uBAAsB,EAAE,EAAE,YAAU,CAAC,IAAE;AAAW,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,MAAI,EAAE,EAAE,UAAU,mCAAmC;AAAzD,IAA2D,MAAI,CAAC,GAAE,MAAI;AAAC,MAAIA,MAAE,EAAE,OAAO,kCAAiC,IAAE,EAAE,gBAAe,IAAE,EAAE;AAAS,MAAG,EAAE,MAAM,OAAG,KAAGA,GAAC;AAAE,WAAO;AAAE,IAAE,OAAO,EAAE,CAAC,IAAEA,OAAG,EAAE,MAAI,UAAQ,EAAE,MAAI,QAAO,MAAI,0DAA0D;AAAE,MAAI,IAAE,KAAK,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC;AAAE,SAAO,IAAEA,OAAG,IAAE,KAAK,KAAK,KAAK,KAAK,EAAE,CAAC,CAAC,CAAC,GAAE,EAAE,OAAO,KAAGA,KAAE,MAAI,6CAA6C,GAAE,CAAC,GAAE,GAAE,CAAC,KAAG,CAAC,GAAE,GAAE,CAAC;AAAC;AAA3b,IAA6b,KAAG,cAAc,GAAE;AAAA,EAAC,aAAY;AAAC,WAAO,GAAG;AAAA,EAAY;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,QAAG,MAAM,GAAE,KAAK,uBAAqB,oBAAI,WAAQ,KAAK,0BAAwB,GAAE,KAAK,WAAS,OAAG,KAAK,iBAAe,GAAE,KAAK,4BAA0B,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,eAAa,GAAE,CAAC,GAAG;AAAE,YAAM,IAAI,MAAM,wCAAwC;AAAE,SAAK,gBAAc,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,QAAM,EAAE,OAAM,KAAK,wBAAsB,MAAK,KAAK,qBAAmB,MAAK,KAAK,mBAAiB,EAAE,SAAS,IAAI,+BAA+B,GAAE,KAAK,cAAY,IAAI,GAAGA,GAAC,GAAE,KAAK,gCAA8B,KAAK,YAAY,sBAAoB,KAAG,KAAG,GAAE,KAAK,gBAAc,IAAI,GAAG,KAAK,MAAM,GAAE,KAAK,iBAAe,IAAI,GAAG,KAAK,MAAM,GAAE,KAAK,YAAU,IAAI,GAAG,MAAK,GAAG,CAAC,GAAE,KAAK,qBAAmB,KAAK,WAAS,KAAK,OAAO,eAAe,EAAC,MAAK,aAAY,OAAM,EAAC,CAAC,IAAG,EAAE,EAAE,QAAQ,yBAAyB,MAAI,KAAK,cAAY,SAAS,cAAc,QAAQ,GAAE,KAAK,YAAY,QAAM,GAAE,KAAK,YAAY,SAAO,GAAE,KAAK,eAAa,KAAK,YAAY,WAAW,QAAQ,GAAE,KAAK,aAAa,UAAU,EAAC,QAAO,GAAE,QAAO,aAAY,CAAC,GAAE,SAAS,KAAK,YAAY,KAAK,WAAW;AAAA,EAAE;AAAA,EAAC,iBAAgB;AAAC,WAAO;AAAA,EAAE;AAAA,EAAC,wBAAuB;AAAC,WAAO,eAAe,UAAQ,eAAe,WAAS,eAAe;AAAA,EAAQ;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG;AAAC,QAAG,KAAK,0BAA0B,QAAQ,CAAC,KAAG;AAAE,aAAM;AAAG,QAAG,CAAC,KAAK,UAAU,IAAI,CAAC;AAAE,aAAM;AAAG,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,KAAK,OAAO,CAAC,GAAE,CAACA,OAAG,EAAE,WAAS;AAAE,aAAM;AAAG,QAAG,KAAK,qBAAqB,IAAI,CAAC;AAAE,aAAO,KAAK,0BAA0B,KAAK,CAAC,GAAE;AAAG,QAAG,EAAC,oBAAmB,EAAC,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAG,SAAO,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,GAAE,KAAK,YAAY,EAAE,KAAK,QAAOA,GAAC,IAAG,KAAK,gBAAgB,CAAC,GAAE,KAAK,UAAU,OAAO,CAAC,GAAE;AAAA,EAAE;AAAA,EAAC,SAAQ;AAAC,WAAM,EAAC,eAAc,KAAK,cAAc,cAAa,wBAAuB,KAAK,cAAc,mBAAkB,YAAW,MAAE;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAG,EAAE,CAACA,OAAG,CAACA,IAAE,eAAc;AAAC,UAAGA,IAAE,UAAS;AAAC,QAAAA,IAAE,eAAa;AAAK;AAAA,MAAM;AAAC,UAAG,aAAYA,IAAE,cAAa;AAAC,YAAI,IAAEA,IAAE;AAAa,UAAE,mBAAmB,cAAY,KAAK,eAAe,eAAe,EAAE,SAAQ,EAAE,OAAM,EAAE,QAAO,EAAE,QAAO,EAAE,KAAK,GAAE,EAAE,UAAQ;AAAA,MAAI,OAAK;AAAC,YAAI,IAAEA,IAAE;AAAa,aAAK,cAAc,cAAc,EAAE,QAAO,EAAE,MAAK,EAAE,KAAK,GAAE,EAAE,SAAO;AAAA,MAAI;AAAC,MAAAA,IAAE,eAAa;AAAA,IAAI;AAAA,EAAC;AAAA,EAAC,SAAS,GAAE;AAAC,WAAO,KAAK,UAAU,IAAI,CAAC,IAAE,KAAK,UAAU,IAAI,CAAC,EAAE,WAAS;AAAA,EAAC;AAAA,EAAC,OAAO,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,IAAAA,IAAE;AAAA,EAAU;AAAA,EAAC,OAAO,GAAE;AAAC,QAAG,KAAK,UAAU,IAAI,CAAC,GAAE;AAAC,UAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,MAAAA,IAAE;AAAA,IAAU;AAAA,EAAC;AAAA,EAAC,MAAM,GAAEA,KAAE,GAAE;AAAC,QAAG,MAAI,eAAa,KAAG;AAAK,YAAM,IAAI,MAAM,uEAAuE;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,WAAO,KAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,GAAE,UAAS,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,KAAK,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,uEAAuE;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAOA,KAAE,UAAS,EAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,SAAK,uBAAuB,GAAE,KAAK,MAAM,OAAO,CAAC,KAAK,sBAAsB,OAAO,CAAC,CAAC,GAAE,KAAK,wBAAsB,MAAK,KAAK,0BAAwB,GAAE,KAAK,uBAAqB,oBAAI,WAAQ,KAAK,0BAA0B,QAAQ,OAAG;AAAC,WAAK,gBAAgB,CAAC,GAAE,KAAK,UAAU,OAAO,CAAC;AAAA,IAAC,CAAC,GAAE,KAAK,uBAAuB,QAAQ,OAAG,KAAK,cAAc,cAAc,EAAE,QAAO,EAAE,MAAK,EAAE,KAAK,CAAC,GAAE,KAAK,uBAAuB,QAAQ,OAAG,KAAK,cAAc,cAAc,EAAE,QAAO,EAAE,MAAK,EAAE,OAAM,KAAE,CAAC,GAAE,KAAK,4BAA0B,CAAC,GAAE,KAAK,yBAAuB,CAAC,GAAE,KAAK,yBAAuB,CAAC;AAAA,EAAC;AAAA,EAAC,4BAA2B;AAAC,SAAK,0BAAwB,KAAK,wBAAsB,KAAK,OAAO,qBAAqB;AAAA,EAAE;AAAA,EAAC,yBAAwB;AAAC,SAAK,uBAAqB,KAAK,mBAAmB,IAAI,GAAE,KAAK,qBAAmB;AAAA,EAAK;AAAA,EAAC,iBAAgB;AAAC,WAAO,KAAK,uBAAqB,KAAK,qBAAmB,KAAK,sBAAsB,iBAAiB,IAAG,KAAK;AAAA,EAAkB;AAAA,EAAC,MAAM,cAAc,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,eAAe,WAAS,eAAe,QAAQ;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAK,YAAY,GAAE,MAAM,EAAE,SAAS,WAAW,IAAI;AAAE,QAAI,IAAE,EAAE,eAAe,EAAE,MAAM,CAAC;AAAE,WAAO,EAAE,MAAM,GAAE,KAAG,QAAM,KAAK,cAAc,cAAc,GAAEA,KAAE,eAAe,WAAS,eAAe,QAAQ,GAAE,EAAE,EAAE,QAAQ,yBAAyB,MAAI,EAAE,OAAO,KAAK,iBAAe,QAAO,MAAI,wCAAwC,GAAE,KAAK,aAAa,kBAAkB,IAAG;AAAA,EAAC;AAAA,EAAC,qBAAqB,GAAEA,KAAE;AAAC,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC;AAAE,WAAO,KAAK,gBAAgB,CAAC,GAAE,EAAE,SAAOA,KAAE,EAAE;AAAA,EAAM;AAAA,EAAC,SAAS,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,oBAAmB,EAAC,IAAEA;AAAE,QAAG,KAAG,QAAMA,IAAE,UAAQ;AAAS,aAAO;AAAE,QAAGA,IAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,KAAK,SAAS,EAAE,KAAK,MAAM,GAAE,IAAE,EAAE,mCAAmC,EAAE,uBAAuB,GAAE,CAAC,EAAE,QAAO,SAAS;AAAE,aAAO,KAAK,qBAAqB,GAAE,CAAC,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,CAAC,UAAS,eAAe,GAAE,IAAEA,IAAE,cAAa,IAAE,EAAE;AAAK,MAAE,OAAO,IAAE,MAAI,GAAE,MAAI,4EAA4E;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,IAAI,YAAY,CAAC,GAAE,IAAE,KAAI,IAAE,KAAI,IAAE,EAAE,IAAI,OAAG,IAAI,gBAAgB,GAAE,CAAC,CAAC,GAAE,IAAE,IAAI,gBAAgB,GAAE,CAAC;AAAE,SAAK,uBAAuB,GAAE,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,WAAW,QAAQ;AAAE,aAAO,EAAE,UAAU,EAAC,QAAO,KAAK,QAAO,QAAO,cAAa,OAAM,gBAAgB,UAAS,WAAU,EAAE,CAAC,EAAC,CAAC,GAAE,EAAE,kBAAkB;AAAA,IAAC,CAAC,EAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,MAAI;AAAC,aAAK,0BAA0B,GAAE,KAAK,sBAAsB,oBAAoB,EAAC,QAAO,EAAE,QAAO,aAAY,GAAE,QAAO,EAAC,GAAE,EAAC,SAAQ,EAAC,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,CAAC,GAAE,KAAK,YAAY;AAAE,YAAI,IAAE,EAAE,WAAW,MAAK,EAAC,oBAAmB,KAAE,CAAC;AAAE,UAAE,UAAU,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,UAAU,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,YAAI,IAAE,EAAE,aAAa,GAAE,GAAE,GAAE,CAAC,EAAE,MAAK,IAAE,EAAE,CAAC,GAAE,IAAE,IAAI,kBAAkB,GAAE,GAAE,IAAE,IAAE,CAAC;AAAE,iBAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG;AAAE,cAAG,MAAI;AAAgB,cAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC;AAAA,eAAM;AAAC,gBAAI,IAAE,EAAE,CAAC;AAAE,cAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE,EAAE,IAAE,CAAC,GAAE,EAAE,IAAE,CAAC,IAAE;AAAA,UAAC;AAAA,MAAC,GAAE,IAAE,KAAK,MAAM,KAAG,IAAE,EAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE;AAAE,eAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,GAAE,GAAE,CAAC,GAAE,KAAG,IAAE,IAAE;AAAE,UAAI,IAAE,KAAG,IAAE;AAAG,UAAE,KAAK,MAAM,IAAE,CAAC,GAAE,IAAE,MAAI,EAAE,GAAE,GAAE,CAAC,GAAE,KAAG,KAAG,IAAE,KAAI,IAAE,IAAE,GAAE,IAAE,KAAG,EAAE,GAAE,GAAE,CAAC;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,EAAE,mCAAmC,GAAEA,IAAE,KAAK;AAAE,WAAO,KAAK,qBAAqB,GAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,QAAG,CAAC,KAAK,UAAU,IAAI,CAAC;AAAE,YAAM,IAAI,MAAM,UAAU,uBAAuB;AAAE,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,EAAC,IAAEA;AAAE,QAAG,KAAG;AAAK,aAAO;AAAE,QAAI;AAAE,QAAGA,IAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,MAAM,QAAQ,IAAI,CAAC,KAAK,KAAKA,IAAE,mBAAmB,KAAK,MAAM,GAAE,KAAK,KAAKA,IAAE,mBAAmB,KAAK,MAAM,CAAC,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,UAAE,EAAE,uBAAuB,GAAE,CAAC;AAAA,IAAC,OAAK;AAAC,UAAI,IAAEA,IAAE,cAAa,IAAE,MAAM,KAAK,cAAc,EAAE,QAAO,EAAE,IAAI;AAAE,UAAE,EAAE,mCAAmC,GAAEA,IAAE,KAAK;AAAA,IAAC;AAAC,WAAO,KAAK,qBAAqB,GAAE,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,WAAW,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,CAAC;AAAE,WAAO,KAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAEA,GAAC,GAAE,KAAK,YAAY,GAAE;AAAA,EAAC;AAAA,EAAC,wBAAwB,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,EAAE;AAAO,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,qCAAqC;AAAE,QAAI,IAAE,EAAC,IAAG,KAAK,WAAW,EAAC;AAAE,SAAK,UAAU,IAAI,GAAE,EAAC,OAAM,GAAE,OAAMA,KAAE,QAAO,MAAK,UAAS,GAAE,UAAS,EAAE,SAAQ,CAAC;AAAE,QAAI,IAAE,KAAK,UAAU,IAAI,CAAC,GAAE,IAAE,GAAG,EAAE,KAAK,IAAE,EAAE,cAAc,EAAE,KAAK;AAAE,QAAG,EAAE,OAAO,OAAK;AAAE,YAAM,IAAI,MAAM,kBAAkB,EAAE,OAAO,qCAAqC,KAAK;AAAE,SAAI,EAAE,OAAO,SAAO,eAAe,UAAQ,eAAe,gBAAc,eAAe,UAAQ,eAAe;AAAU,YAAM,IAAI,MAAM,kFAAkF;AAAE,WAAO,EAAE,aAAW,SAAK,IAAE,KAAK,WAAW,GAAE,GAAE,EAAE,KAAK,IAAG,EAAE,eAAa,EAAC,MAAK,EAAE,MAAK,OAAM,EAAE,OAAM,QAAO,EAAC,GAAE,GAAG,EAAE,qBAAqB,GAAEA,KAAE,GAAE,IAAI;AAAA,EAAC;AAAA,EAAC,UAAU,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC,GAAE,EAAC,QAAO,GAAE,OAAM,GAAE,OAAM,GAAE,cAAa,EAAC,IAAEA;AAAE,QAAG,MAAI;AAAY,YAAM,IAAI,MAAM,sDAAsD;AAAE,QAAG,KAAG;AAAK,YAAM,KAAG,OAAK,IAAI,MAAM,gCAAgC,IAAE,IAAI,MAAM,iCAAiC;AAAE,QAAI,IAAE,EAAE,MAAK,IAAE,KAAK,cAAc,cAAc,GAAE,EAAE,KAAK;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,EAAE,QAAO,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,YAAY;AAAE,QAAI,IAAE,KAAK,eAAe,GAAE,CAAC,GAAE,IAAE,GAAG,EAAE,yBAAyB,CAAC,GAAE,IAAE,KAAK,UAAU,IAAI,EAAE,MAAM;AAAE,WAAO,EAAE,eAAa,EAAC,MAAK,GAAE,OAAM,KAAK,sBAAsB,GAAE,QAAO,EAAC,GAAE,EAAC,WAAU,GAAE,QAAO,EAAC;AAAA,EAAC;AAAA,EAAC,WAAW,GAAE;AAAC,QAAIA,MAAE,KAAK,SAAS,EAAE,MAAM;AAAE,QAAG,EAAE,UAAQ;AAAS,UAAG;AAAC,YAAI,IAAEA,IAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC;AAAE,eAAO,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC;AAAA,MAAC,SAAO,GAAN;AAAS,cAAM,IAAI,MAAM,kDAAkD;AAAA,MAAC;AAAC,WAAO,GAAG,EAAE,OAAM,EAAE,OAAMA,GAAC;AAAA,EAAC;AAAA,EAAC,MAAM,KAAK,GAAE;AAAC,SAAK,oBAAkB,QAAQ,KAAK,8VAA8V;AAAE,QAAIA,MAAE,KAAK,cAAa,IAAE,CAAC,GAAE,IAAE;AAAG,SAAK,sBAAoB,QAAM,KAAK,qBAAmB,GAAE,IAAE,QAAI,KAAK,aAAa,KAAK,CAAC,GAAE,KAAK,eAAa,GAAE,EAAE;AAAE,QAAI,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,KAAK,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI,GAAE,IAAE,EAAE,QAAQ,KAAK,aAAa,IAAI,OAAG,EAAE,IAAI,CAAC,EAAE,OAAO,OAAG,KAAG,IAAI;AAAE,SAAK,eAAaA,KAAE,MAAI,KAAK,qBAAmB;AAAM,QAAI,IAAE,EAAC,cAAa,KAAK,cAAa,gBAAe,KAAK,gBAAe,UAAS,MAAK,QAAO,KAAI,GAAE,IAAE,MAAM,QAAQ,IAAI,CAAC;AAAE,WAAO,EAAE,WAAS,EAAE,IAAI,CAAC,GAAE,EAAE,sBAAoB,MAAI,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,MAAK,EAAE,CAAC,GAAE,IAAG,EAAC,EAAE,EAAE,IAAI,OAAG,GAAG,EAAE,SAAS,EAAE,IAAI,EAAE,KAAK,IAAI,GAAE,KAAK,eAAa,GAAE,KAAK,iBAAe,GAAE;AAAA,EAAC;AAAA,EAAC,eAAe,GAAEA,KAAE,GAAE;AAAC,WAAOA,QAAI,YAAU,KAAG,QAAM,EAAE,SAAO,KAAG,EAAE,SAAS,EAAE,CAAC,CAAC,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAG,EAAC,QAAO,KAAK,MAAM,GAAE,GAAEA,GAAC,GAAE,OAAM,GAAE,OAAMA,IAAC;AAAA,EAAC;AAAA,EAAC,gBAAgB,GAAE;AAAC,QAAG,CAAC;AAAE,aAAO;AAAK,QAAIA,MAAE,KAAK,UAAU,IAAI,EAAE,MAAM;AAAE,QAAG,aAAYA,IAAE,cAAa;AAAC,UAAI,IAAEA,IAAE;AAAa,aAAO,EAAE,mBAAmB,qBAAmB,EAAE,UAAQ,EAAE,QAAQ,WAAW;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE;AAAa,WAAM,EAAC,QAAO,GAAE,MAAK,EAAE,MAAK,QAAO,EAAE,OAAM;AAAA,EAAC;AAAA,EAAC,MAAM,aAAa,GAAE;AAAC,WAAO,KAAK,mBAAiB,KAAK,oBAAoB,CAAC,IAAE;AAAA,EAAC;AAAA,EAAC,YAAY,GAAE;AAAC,QAAIA,MAAE,KAAK,UAAU,IAAI,CAAC;AAAE,QAAGA,IAAE;AAAa;AAAO,QAAI,IAAE,GAAGA,IAAE,KAAK,IAAE,EAAE,cAAcA,IAAE,KAAK,GAAE;AAAE,QAAGA,IAAE,QAAO;AAAC,UAAG,IAAE,KAAK,cAAc,cAAc,GAAE,KAAK,sBAAsB,GAAE,IAAE,GAAE,EAAE,aAAW,YAAW;AAAC,YAAI,IAAE,KAAK,cAAc,cAAc,GAAE,eAAe,YAAU,eAAe,UAAS,MAAG,KAAE,GAAE,IAAE,EAAE,eAAe;AAAE,QAAAA,IAAE,UAAQ,WAASA,IAAE,UAAQ,SAAO,IAAI,WAAW,CAAC,EAAE,IAAIA,IAAE,MAAM,IAAE,IAAI,aAAa,CAAC,EAAE,IAAIA,IAAE,MAAM,GAAE,EAAE,MAAM,GAAE,KAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,mBAAmB,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,uBAAuB,KAAK,EAAC,MAAK,GAAE,OAAM,eAAe,YAAU,eAAe,UAAS,QAAO,EAAC,CAAC;AAAA,MAAC,OAAK;AAAC,YAAI,IAAE,EAAE,eAAe;AAAE,QAAAA,IAAE,UAAQ,WAASA,IAAE,UAAQ,SAAO,IAAI,WAAW,CAAC,EAAE,IAAIA,IAAE,MAAM,IAAE,IAAI,aAAa,CAAC,EAAE,IAAIA,IAAE,MAAM,GAAE,EAAE,MAAM;AAAA,MAAC;AAAC,MAAAA,IAAE,SAAO;AAAA,IAAI;AAAM,UAAE,KAAK,cAAc,cAAc,GAAE,KAAK,sBAAsB,CAAC;AAAE,IAAAA,IAAE,eAAa,EAAC,MAAK,GAAE,OAAM,KAAK,sBAAsB,GAAE,QAAO,EAAC;AAAA,EAAC;AAAA,EAAC,aAAa,GAAE;AAAC,QAAIA,MAAE,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE;AAAE,MAAE,QAAQ,OAAG;AAAC,QAAE,KAAK,WAAS,MAAI,EAAE,OAAK,CAAC,CAAC;AAAG,UAAI;AAAE,cAAO,EAAE,KAAK,QAAO;AAAA,QAAC,KAAK;AAAE,cAAE;AAAE;AAAA,QAAM,KAAK;AAAE,cAAE;AAAE;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM,KAAK;AAAE,cAAE;AAAG;AAAA,QAAM;AAAQ,YAAE,OAAO,OAAG,MAAI,eAAe,EAAE,KAAK,eAAe;AAAA,MAAC;AAAC,OAAC,MAAI,KAAG,MAAI,OAAK,IAAE,KAAI,IAAE,MAAI,IAAE,IAAGA,MAAE,KAAK,KAAKA,MAAE,CAAC,IAAE,GAAE,IAAE,EAAE,KAAK,QAAO,EAAE,KAAKA,GAAC,GAAEA,OAAG,EAAE,KAAK,SAAO;AAAA,IAAC,CAAC,GAAEA,MAAE,KAAK,KAAKA,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,IAAI,YAAYA,GAAC;AAAE,MAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,UAAI,IAAE,EAAE,CAAC;AAAE,QAAE,SAAO,UAAQ,IAAI,WAAW,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI,IAAE,EAAE,SAAO,WAAS,IAAI,YAAY,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI,IAAE,IAAI,aAAa,GAAE,GAAE,EAAE,KAAK,MAAM,EAAE,IAAI,EAAE,IAAI;AAAA,IAAC,CAAC;AAAE,QAAI,IAAE,KAAK,cAAc,cAAcA,KAAE,eAAe,WAAS,eAAe,OAAO;AAAE,SAAK,MAAM,YAAY,GAAE,GAAE,GAAE,GAAEA,GAAC;AAAE,QAAI,IAAE,EAAC,MAAKA,KAAE,OAAM,eAAe,WAAS,eAAe,SAAQ,QAAO,EAAC;AAAE,WAAO,KAAK,uBAAuB,KAAK,CAAC,GAAE,EAAC,QAAO,GAAE,MAAKA,KAAE,QAAO,EAAC;AAAA,EAAC;AAAA,EAAC,iBAAiB,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,QAAG,MAAI,IAAE,KAAK,eAAe,EAAE,aAAY,CAAC,IAAG,EAAE,cAAc,EAAE,KAAK,MAAI;AAAE,aAAO,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,SAAO,EAAE,uBAAuB,EAAE,OAAM,CAAC,GAAE;AAAE,SAAK,YAAY,EAAE,MAAM,GAAE,EAAE,WAAS,IAAI,KAAK,QAAO,CAAC;AAAE,QAAI,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,QAAG,CAAC,EAAE,cAAa;AAAC,QAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,GAAG,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,OAAO,CAAC,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,UAAI,IAAE;AAAQ,UAAG,EAAE,IAAI,OAAG;AAAC,UAAE,KAAK,EAAC,MAAK,GAAE,MAAK,EAAC,CAAC;AAAE,YAAI,IAAE,EAAE,eAAe,CAAC;AAAE,UAAE,KAAK,EAAC,MAAK,GAAE,MAAK,EAAC,CAAC;AAAA,MAAC,CAAC,GAAE,EAAE,MAAK;AAAC,YAAI,IAAE,EAAE,cAAc,EAAE,WAAW;AAAE,UAAE,KAAK,EAAC,MAAK,GAAE,MAAK,CAAC,EAAE,kBAAgB,IAAE,EAAE,kBAAgB,CAAC,EAAC,CAAC;AAAA,MAAC;AAAA,IAAC;AAAC,QAAI,IAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,UAAG,EAAE,UAAQ;AAAY,cAAM,IAAI,MAAM,iIAAiI;AAAE,aAAO,KAAK,YAAY,EAAE,MAAM,GAAE,EAAC,OAAM,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,OAAM,OAAM,EAAE,OAAM,MAAK,EAAE,cAAc,CAAC,EAAC;AAAA,IAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,SAAK,KAAK,gBAAc,IAAE,KAAK,cAAc,CAAC,KAAG,IAAE,GAAG,KAAK,QAAO,GAAE,GAAE,GAAE,CAAC,GAAE,KAAK,cAAc,CAAC,IAAE,IAAG,MAAI,IAAE,CAAC,GAAG,GAAE,GAAG,CAAC;AAAG,QAAI,IAAE,CAAC,KAAK,gBAAgB,CAAC,GAAE,GAAGA,IAAE,IAAI,OAAG,KAAK,gBAAgB,CAAC,CAAC,GAAE,KAAK,aAAa,CAAC,CAAC,GAAE,IAAE,KAAK,OAAO,gBAAgB,EAAC,QAAO,EAAE,mBAAmB,CAAC,GAAE,SAAQ,EAAE,IAAI,CAAC,GAAE,OAAK,EAAC,SAAQ,GAAE,UAAS,EAAC,EAAE,EAAC,CAAC;AAAE,SAAK,0BAA0B;AAAE,QAAI,IAAE,KAAK,eAAe,GAAE,IAAE,KAAK,gBAAc;AAAK,WAAO,KAAG,KAAK,oBAAkB,EAAE,eAAe,KAAK,UAAS,CAAC,GAAE,EAAE,YAAY,CAAC,GAAE,EAAE,aAAa,GAAE,CAAC,GAAE,EAAE,mBAAmB,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,GAAE,EAAE,SAAS,CAAC,CAAC,GAAE,KAAG,KAAK,oBAAkB,EAAE,eAAe,KAAK,UAAS,CAAC,GAAE,KAAK,2BAA0BA,IAAE,QAAQ,OAAG;AAAC,WAAK,qBAAqB,IAAI,EAAE,MAAM;AAAA,IAAC,CAAC,GAAE,KAAK,qBAAqB,IAAI,EAAE,MAAM,GAAE,EAAE,EAAE,IAAI,mCAAmC,KAAG,KAAK,2BAAyB,KAAK,YAAY,GAAE,KAAG,KAAK,aAAa,KAAK,EAAC,MAAK,EAAE,YAAY,MAAK,OAAM,KAAK,aAAa,KAAK,QAAQ,EAAC,CAAC,GAAE;AAAA,EAAC;AAAA,EAAC,MAAM,oBAAoB,GAAE;AAAC,QAAIA,MAAE,KAAK,cAAc,cAAc,IAAG,eAAe,WAAS,eAAe,aAAa,GAAE,IAAE,KAAK,cAAc,cAAc,IAAG,eAAe,WAAS,eAAe,QAAQ;AAAE,SAAK,0BAA0B,GAAE,KAAK,uBAAuB,GAAE,KAAK,sBAAsB,gBAAgB,GAAE,GAAE,GAAEA,KAAE,CAAC,GAAE,KAAK,sBAAsB,mBAAmBA,KAAE,GAAE,GAAE,GAAE,EAAE,GAAE,KAAK,YAAY,GAAE,MAAM,EAAE,SAAS,WAAW,IAAI;AAAE,QAAI,IAAE,IAAI,eAAe,EAAE,eAAe,CAAC,GAAE,IAAE,OAAO,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,EAAE,MAAM,GAAE,KAAK,cAAc,cAAc,GAAE,IAAG,eAAe,WAAS,eAAe,QAAQ,GAAE,KAAK,cAAc,cAAcA,KAAE,IAAG,eAAe,WAAS,eAAe,aAAa,GAAE,IAAE;AAAA,EAAG;AAAA,EAAC,mBAAmB,GAAEA,MAAE,KAAI;AAAC,WAAO,EAAE,EAAE,QAAQ,oBAAoB,KAAG,EAAE,MAAM,OAAG,KAAK,UAAU,IAAI,EAAE,MAAM,EAAE,gBAAc,QAAM,EAAE,cAAc,EAAE,KAAK,IAAEA,GAAC;AAAA,EAAC;AAAA,EAAC,aAAY;AAAC,WAAO,KAAK,UAAU,WAAW,IAAE,KAAK,0BAA0B;AAAA,EAAM;AAAA,EAAC,UAAS;AAAC,SAAK,aAAW,KAAK,cAAc,QAAQ,GAAE,KAAK,eAAe,QAAQ,GAAE,KAAK,WAAS;AAAA,EAAG;AAAC;AAAE,GAAG,aAAW;AAAE,GAAG,KAAG,GAAG,UAAS,YAAS;AAAC,MAAI,IAAE,EAAC,iBAAgB,EAAE,EAAE,IAAI,0BAA0B,IAAE,cAAY,mBAAkB,GAAE,IAAE,MAAM,UAAU,IAAI,eAAe,CAAC,GAAEA,MAAE,CAAC;AAAE,IAAE,SAAS,IAAI,+BAA+B,MAAIA,IAAE,mBAAiB,CAAC,+BAA+B;AAAG,MAAI,IAAE,EAAE;AAAO,EAAAA,IAAE,iBAAe,EAAC,gCAA+B,EAAE,gCAA+B,kCAAiC,EAAE,kCAAiC,6BAA4B,EAAE,6BAA4B,eAAc,EAAE,eAAc,0BAAyB,EAAE,0BAAyB,mCAAkC,EAAE,kCAAiC;AAAE,MAAI,IAAE,MAAM,EAAE,cAAcA,GAAC,GAAE,IAAE,MAAM,EAAE,mBAAmB;AAAE,SAAO,IAAI,GAAG,GAAE,CAAC;AAAC,GAAE,CAAC;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,wBAAsB,CAAC,IAAE,yBAAwB,EAAE,EAAE,wBAAsB,CAAC,IAAE,yBAAwB,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,gBAAc,CAAC,IAAE,iBAAgB,EAAE,EAAE,UAAQ,CAAC,IAAE,WAAU,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,qBAAmB,EAAE,IAAE,sBAAqB,EAAE,EAAE,MAAI,EAAE,IAAE;AAAK,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,MAAI;AAAA;AAAR,IACv+kB,MAAI;AAAA;AAAA;AAAA;AAAA;AADm+kB,IAKjjlB,MAAI;AAL6ilB,IAK7hlB,MAAI;AALyhlB,IAKz/kB,MAAI;AALq/kB,IAK78kB,MAAI;AALy8kB,IAKj6kB,MAAI;AAL65kB,IAK74kB,MAAI;AALy4kB,IAK71kB,MAAI;AALy1kB,IAKvxkB,MAAI;AALmxkB,IAK7vkB,MAAI;AALyvkB,IAK7tkB,MAAI;AALytkB,IAKpskB,MAAI;AALgskB,IAKrqkB,MAAI;AALiqkB,IAK3okB,MAAI;AALuokB,IAK3mkB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AALumkB,IAUnjlB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAV+ilB,IA+BnjlB,MAAI;AA/B+ilB,IA+B1hlB,MAAI;AA/BshlB,IA+B3/kB,MAAI;AA/Bu/kB,IA+Bj+kB,MAAI;AA/B69kB,IA+Bj8kB,MAAI;AA/B67kB,IA+Bz5kB,MAAI;AAAA;AA/Bq5kB,IAgCjhlB,MAAI;AAhC6glB,IAgCz+kB,MAAI;AAAA;AAhCq+kB,IAiCjglB,MAAI;AAjC6/kB,IAiC/9kB,MAAI;AAjC29kB,IAiC77kB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAjCy7kB,IAsCnjlB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAtC+ilB,IAqDnjlB,MAAI;AArD+ilB,IAqD/hlB,MAAI;AAAA;AAAA;AAAA;AArD2hlB,IAwDnjlB,MAAI;AAAA;AAAA;AAAA;AAxD+ilB,IA2DnjlB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA3D+ilB,IAkEnjlB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlE+ilB,IAuFnjlB,MAAI;AAvF+ilB,IAuFnglB,MAAI;AAAA;AAAA;AAAA;AAvF+/kB,IA0FnjlB,MAAI;AA1F+ilB,IA0FnhlB,MAAI;AAAgB,SAAS,GAAG,GAAE,GAAE;AAAC,KAAE;AAAC,QAAIA;AAAE,YAAO,GAAE;AAAA,MAAC,KAAK,GAAG;AAAM,QAAAA,MAAE;AAAI;AAAA,MAAM,KAAK,GAAG;AAAI,QAAAA,MAAE;AAAI;AAAA,MAAM,KAAK,GAAG;AAAI,QAAAA,MAAE;AAAI;AAAA,MAAM,KAAK,GAAG;AAAI,QAAAA,MAAE,IAAE,MAAI;AAAI;AAAA,MAAM,KAAK,GAAG;AAAU,QAAAA,MAAE,IAAE,MAAI;AAAI;AAAA,MAAM,KAAK,GAAG;AAAI,QAAAA,MAAE,IAAE,MAAI;AAAI;AAAA,MAAM;AAAQ;AAAA,IAAQ;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA,UAIjRA;AAAA,UACA,IAAE,MAAI;AAAA;AAAA;AAAA;AAAA,EAGX,SAAO;AAAI,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAsB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAsB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAQ,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAQ,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAc,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAQ,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAK,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAW,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAY,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAW,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI,KAAK,GAAG;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,GAAG;AAAmB,aAAO;AAAA,IAAI,KAAK,GAAG;AAAI,aAAO;AAAA,IAAI;AAAQ,YAAM,IAAI,MAAM,cAAc,uBAAuB;AAAA,EAAC;AAAC;AAAC,IAAI;AAAA,CAAG,SAAS,GAAE;AAAC,IAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,QAAM,CAAC,IAAE,SAAQ,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,CAAC,IAAE,OAAM,EAAE,EAAE,OAAK,CAAC,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,cAAY,EAAE,IAAE,eAAc,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,YAAU,EAAE,IAAE,aAAY,EAAE,EAAE,aAAW,EAAE,IAAE,cAAa,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,QAAM,EAAE,IAAE,SAAQ,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,UAAQ,EAAE,IAAE,WAAU,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,WAAS,EAAE,IAAE,YAAW,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,SAAO,EAAE,IAAE,UAAS,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,MAAI,EAAE,IAAE,OAAM,EAAE,EAAE,OAAK,EAAE,IAAE,QAAO,EAAE,EAAE,SAAO,EAAE,IAAE;AAAQ,GAAG,MAAI,IAAE,CAAC,EAAE;AAAE,IAAI,MAAI;AAAR,IAAyB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAA7B,IAKzhD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AALqhD,IAUzhD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAVqhD,IAezhD,MAAI;AAfqhD,IAelgD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAf8/C,IAoBzhD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AApBqhD,IA+BzhD,MAAI;AA/BqhD,IA+BngD,MAAI;AA/B+/C,IA+B9+C,MAAI;AAAA;AAAA;AAAA;AA/B0+C,IAkCzhD,MAAI;AAlCqhD,IAkC9/C,MAAI;AAlC0/C,IAkCp8C,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlCg8C,IAiDzhD,MAAI;AAAA;AAAA;AAAA;AAAA,YAIM,EAAE;AAAA,aACD,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA,aACF,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA1D4gD,IAgEzhD,MAAI;AAhEqhD,IAgEpgD,MAAI;AAhEggD,IAgE7+C,MAAI;AAhEy+C,IAgEn8C,MAAI;AAhE+7C,IAgEv6C,MAAI;AAhEm6C,IAgE34C,MAAI;AAhEu4C,IAgE33C,MAAI;AAAA;AAhEu3C,IAiEzgD,MAAI;AAAA;AAAA;AAAA;AAjEqgD,IAoEzhD,MAAI;AApEqhD,IAoE1/C,MAAI;AApEs/C,IAoEz+C,MAAI;AApEq+C,IAoE76C,MAAI;AAAA;AAAA;AAAA;AApEy6C,IAuEzhD,MAAI;AAvEqhD,IAuEngD,MAAI;AAvE+/C,IAuE79C,MAAI;AAvEy9C,IAuE57C,MAAI;AAvEw7C,IAuEv2C,MAAI;AAAA;AAAA;AAvEm2C,IAyEzhD,MAAI;AAzEqhD,IAyElgD,MAAI;AAzE8/C,IAyEr+C,MAAI;AAAA;AAAA,aAE7C,EAAE;AAAA;AAAA,aAEF,EAAE;AAAA;AAAA;AA7E4gD,IA+EzhD,MAAI;AA/EqhD,IA+E/+C,MAAI;AA/E2+C,IA+Ez9C,MAAI;AA/Eq9C,IA+Ep8C,MAAI;AAAA;AAAA;AAAA;AA/Eg8C,IAkFzhD,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAlFqhD,IAiGzhD,MAAI;AAjGqhD,IAiGngD,MAAI;AAjG+/C,IAiG/+C,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAjG2+C,IAuGzhD,MAAI;AAvGqhD,IAuGpgD,MAAI;AAAA;AAAA;AAAA;AAvGggD,IA0GzhD,MAAI;AAAwB,SAAS,GAAG,GAAE,GAAE;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAU,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAY,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAU,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAW,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO,IAAE,MAAI;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAM,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAQ,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAS,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAI,aAAO;AAAA,IAAI,KAAK,EAAE;AAAK,aAAO;AAAA,IAAI,KAAK,EAAE;AAAO,aAAO;AAAA,IAAI;AAAQ,YAAM,IAAI,MAAM,cAAc,uBAAuB;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE,IAAE,OAAGA,MAAE,OAAG,IAAE,GAAE;AAAC,MAAG,MAAI;AAAK,WAAM;AAAG,MAAI,IAAE;AAAG,MAAG,MAAI;AAAS,QAAE,GAAG,EAAE,MAAM;AAAA,WAAU,MAAI;AAAO,QAAE,GAAG,EAAE,MAAKA,GAAC;AAAA,WAAU,MAAI;AAAM,QAAE,GAAG,EAAE,KAAIA,GAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,GAAG,EAAE,OAAMA,GAAC;AAAA,WAAU,MAAI;AAAQ,QAAE,GAAG,GAAG,OAAMA,GAAC;AAAA,WAAU,MAAI;AAAU,QAAE,GAAG,EAAE,SAAQA,GAAC;AAAA,WAAU,MAAI;AAAY,QAAE,GAAG,EAAE,WAAUA,GAAC;AAAA;AAAO,UAAM,IAAI,MAAM,cAAc,oDAAoD;AAAE,MAAI,IAAE,GAAGA,MAAE,IAAE,CAAC,GAAE,IAAE;AAAG,SAAO,IAAE,IAAE;AAAA,0BAChgD,kBAAkB,cAAc;AAAA;AAAA,UAEhD;AAAA,WACD,IAAE;AAAA,0BACe,kBAAkB,cAAc;AAAA,UAChD;AAAA,UACD;AAAC;AAAC,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM;AAAA,QAC1B,IAAE,mDAAiD;AAAA,QACnD,IAAE,uCAAqC;AAAA;AACxC;AAAC,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,GAAE;AAAC,IAAE,OAAO,KAAG,MAAI,KAAG,CAAC,GAAE,MAAI,cAAc,2CAA2C,GAAG;AAAE,MAAI,IAAE;AAAA,QAClI,IAAE,mCAAiC;AAAA;AAAA,OAErC,IAAE,IAAE,mCAAiC;AAAiC,SAAM;AAAA,qDAC7B,GAAG,CAAC;AAAA,kBACvC,GAAG,CAAC;AAAA,wBACE;AAAA,MAClBA,OAAG,IAAE,IAAE;AAAA,MACP,IAAE,4DAA0D;AAAA;AAAA,QAE1D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,qDAM6C,GAAG,CAAC;AAAA,wBACjC;AAAA,kBACN,GAAG,CAAC;AAAA,MAChB;AAAA;AAAA;AAAA;AAGH;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG,IAAE,GAAE;AAAC,SAAM;AAAA,IAC9C,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,2DACyC,GAAG,CAAC;AAAA,wBACvC;AAAA,MAClB,KAAG,IAAE,KAAG;AAAA;AAAA;AAAA;AAAA,QAIN,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAIX;AAAC,IAAI,MAAI,CAAC,GAAE,MAAI,IAAE;AAAA;AAAA;AAAA,6BAGQ;AAAA,YACnB;AAAA;AAAA;AAAA,qBAGW;AAAA;AAPjB,IAQM,MAAI,CAAC,GAAE,GAAEA,QAAI,IAAE;AAAA,qCACY;AAAA,qCACA;AAAA,qCACA;AAAA,UAC3B,MAAI,IAAE,KAAG,8BAA8B;AAAA,8BACnBA;AAAA;AAAA;AAAA;AAAA,YAIlB,MAAI,IAAE,KAAG;AAAA,aACV;AAAA,8BACmBA;AAAA;AAAA;AAAA;AAAA;AAAA,YAKlB,MAAI,IAAE,KAAG;AAAA;AACV,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,IAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC;AAAE,SAAO,EAAE,QAAQA,OAAG,MAAI,KAAG,EAAE,CAAC,MAAI,KAAG,CAACA,QAAI,MAAI,KAAG,MAAI,OAAK,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,MAAI,iBAAiBA,iCAA+B,0BAA0B,EAAE,CAAC;AAAA,wCAC9P;AAAA,mBACrB,0CAA0C,EAAE,CAAC,gBAAgB,2CAA2C,EAAE,CAAC,mBAAmB,EAAE,CAAC,cAAc,GAAE;AAAA,4CACxH,WAAW,IAAE,OAAO;AAAA,oDACZ,IAAE,EAAE,CAAC,OAAO;AAAA;AAAA,IAE5D,EAAE;AAAA;AAAA,+BAEyB;AAAA;AAAA;AAAA,wCAGS;AAAA;AAAA,kBAEtB,IAAE,MAAI;AAAA,mBACL,KAAG,CAAC,IAAE,UAAQ;AAAA,mBACd,KAAG,CAAC,IAAE,UAAQ;AAAA,gDACe;AAAA;AAAA,qBAE3B,IAAE,GAAG,KAAK,KAAK,IAAE,CAAC,MAAI,6BAA6B;AAAA,mBACrD,IAAE,qBAAqB,MAAI;AAAA;AAAA,gCAEd;AAAA;AAAA;AAAA,gCAGA;AAAA;AAAA;AAAA,4CAGY;AAAA;AAAA;AAAA,cAG9B,IAAIA,KAAE,CAAC;AAAA;AAAA;AAAA;AAAA,4CAIuB;AAAA;AAAA;AAAA;AAAA;AAAA,4BAKhB;AAAA;AAAA;AAAA;AAAA,8BAIE,IAAE;AAAA,yCACS;AAAA,yCACA;AAAA,yCACA;AAAA,cAC3B,MAAI,IAAE,KAAG,8BAA8B;AAAA;AAAA,cAEvC,IAAIA,KAAE,GAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wCAMiB;AAAA;AAAA;AAAA;AAGpC;AAAC,IAAI,KAAG,OAAG,IAAE;AAAA;AAAA;AAAA;AAAA,YAIP;AAAA;AAAA;AAAA;AAAA;AAJL,IAQK,MAAI,OAAG,IAAE,kDAAgD;AAAgD,SAAS,GAAG,GAAE,GAAEA,MAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,IAAG,IAAE,OAAG,IAAE,OAAG;AAAC,MAAI,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAEA,MAAE,IAAE,GAAE,IAAEA,MAAE,IAAE;AAAE,IAAE,OAAO,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,KAAG,IAAE,EAAE,CAAC,MAAI,GAAE,MAAI,cAAc,0CAA0C,EAAE,CAAC,iBAAiB,0CAA0C,EAAE,CAAC,gBAAgB,0CAA0C,EAAE,CAAC,GAAG;AAAE,MAAI,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE;AAAA;AAAA;AAAA,kDAGxb;AAAA,kDACA;AAAA;AAAA;AAAA;AAAA;AAAA,mDAKC,4BAA4B,EAAE,CAAC;AAAA,qDAC7B,4BAA4B,EAAE,CAAC;AAAA,cACtE,GAAGA,GAAC;AAAA;AAAA;AAAA;AAAA,mDAIiC,4BAA4B,EAAE,CAAC;AAAA,yDACzB,4BAA4B,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAM5D;AAAA;AAAA;AAAA;AAAA,mCAIO;AAAA,8BACL;AAAA,wCACU;AAAA,6DACqB,EAAE,CAAC;AAAA;AAAA,8CAElB;AAAA,4BAClBA,MAAE,oCAAoC,EAAE,CAAC,QAAM,iCAAiC,EAAE,CAAC;AAAA,gDAC/D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,0CAQN;AAAA,4DACkB,EAAE,CAAC;AAAA,4CACnB;AAAA,8DACkB,EAAE,CAAC;AAAA;AAAA;AAAA;AAAA,UAIzD;AAAA,mCAC2B;AAAA,mCACA;AAAA;AAAA,sCAEG;AAAA,sCACA;AAAA,8CACQ;AAAA;AAAA,oCAEV;AAAA,oCACA;AAAA,oCACA;AAAA;AAAA;AAAA;AAAA,wCAII;AAAA,0CACE;AAAA;AAAA;AAAA,UAGhC,GAAGA,GAAC;AAAA;AAAA;AAAA;AAAA;AAAA,wCAK0B;AAAA,0CACE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAQlB;AAAA;AAAA;AAAA;AAAA,+BAIO;AAAA,0BACL;AAAA,oCACU;AAAA;AAAA;AAAA;AAAA,0CAIM;AAAA,UAChC,IAAIA,GAAC;AAAA,4CAC6B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAUN;AAAA,wCACE;AAAA;AAAA;AAAA;AAAA;AAAA;AAKpC,SAAM;AAAA,gDACsC,OAAO;AAAA,gDACP,OAAO;AAAA;AAAA,MAEjD,EAAE;AAAA,oBACY,IAAE,MAAI;AAAA,qBACL,KAAG,CAAC,IAAE,UAAQ;AAAA,qBACd,KAAG,CAAC,IAAE,UAAQ;AAAA,uBACZ,IAAE,GAAG,KAAK,KAAK,IAAE,CAAC,MAAI,6BAA6B;AAAA,qBACrD,IAAE,qBAAqB,MAAI;AAAA;AAAA,mCAEb,OAAO;AAAA;AAAA;AAAA,0CAGA;AAAA,4CACE;AAAA;AAAA;AAAA;AAAA,QAIpC;AAAA;AAAA;AAEL;AAAC,IAAI,MAAI,OAAG,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA,MAKb;AAAA;AAAA;AAAA;AAAA;AAAA;AAKA,SAAS,IAAI,GAAE,IAAE,OAAG;AAAC,IAAE,OAAO,EAAE,CAAC,MAAI,KAAG,EAAE,CAAC,MAAI,GAAE,MAAI,iDAAiD,IAAI;AAAE,MAAIA,MAAE,EAAE,CAAC,IAAE;AAAE,SAAM;AAAA,gDACnF,EAAE,CAAC;AAAA;AAAA,MAE7C,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA,iDAKyCA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yBAUxBA;AAAA,uCACc,IAAI,CAAC;AAAA;AAAA;AAAA;AAAA,8BAIdA,MAAE;AAAA,2BACLA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAexB;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC;AAAE,QAAI,IAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC;AAAE,QAAG,KAAK,UAAQ,IAAE,MAAI,KAAG,CAAC,KAAGA,IAAE,CAAC,IAAE,MAAI,KAAG,MAAIA,IAAE,CAAC,IAAE,MAAI,KAAG,CAAC,GAAE,KAAK,kBAAgB,KAAK,SAAO,IAAE,GAAE,KAAK,YAAUA,IAAE,CAAC,MAAI,KAAG,CAAC,GAAE,CAAC,KAAK,UAAQ,KAAK;AAAU,WAAK,oBAAkB,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC;AAAA,SAAM;AAAC,UAAI,IAAE,GAAGA,IAAE,CAAC,GAAE,GAAEA,IAAE,CAAC,GAAE,CAAC;AAAE,WAAK,gBAAc,EAAE,eAAc,KAAK,oBAAkB,EAAE;AAAA,IAAiB;AAAC,SAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB;AAAE,QAAI,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,4BAA0B,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,CAAC,KAAK,WAAU,KAAK,WAAU,KAAK,QAAQ,IAAE,KAAK,YAAYA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAE,CAAC,GAAE,KAAK,YAAU,gBAAgB,KAAK,qBAAqB,KAAK,KAAK,KAAK,cAAc,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,KAAK,UAAU,KAAK,aAAa,KAAK;AAAA,EAA2B;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAI,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC;AAAE,KAAC,KAAK,UAAQ,KAAK,YAAU,KAAK,YAAU,KAAK,cAAc,CAAC,IAAE,IAAE,KAAK,YAAU;AAAE,QAAI,IAAE,IAAE,MAAI,GAAE,IAAEA,MAAE,MAAI,GAAE,IAAE,IAAE,KAAK,cAAY;AAAE,WAAM,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC37C,GAAG,KAAK,YAAW,KAAK,2BAA0B,KAAK,MAAM;AAAA,QAC7D,GAAG,KAAK,SAAQ,KAAK,YAAW,OAAG,KAAK,YAAW,KAAK,WAAU,KAAK,WAAU,KAAK,UAAS,KAAK,SAAO,IAAE,CAAC;AAAA,QAC9G,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,KAAK,WAAU,OAAG,MAAK,IAAE,IAAE,KAAK,YAAU,IAAI,KAAK,eAAc,KAAK,UAAU,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,KAAK,WAAU,OAAG,MAAK,KAAK,2BAA0B,IAAE;AAAA;AAAA,EACnR;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,SAAM;AAAA,4CACc;AAAA,MACtC,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,yDASiD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAQ3B,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAc7B;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa;AAAE,QAAI,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,aAAWA,KAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,YAAU,gBAAgB,KAAK,cAAcA,OAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC7lB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,QACjD,GAAG,KAAK,SAAQ,KAAK,YAAW,KAAK,YAAW,KAAK,UAAU;AAAA,QAC/D,IAAI,KAAK,cAAc,CAAC,CAAC;AAAA;AAAA,EAC5B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,EAAE,CAAC,GAAEA,MAAE,EAAE,CAAC,GAAE,IAAE,IAAEA,MAAE,IAAEA;AAAE,SAAM;AAAA,8CACZ,OAAO;AAAA,8CACPA,SAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,IAQjD,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+CAUyC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAQf;AAAA,gCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kCAYE;AAAA,kCACA;AAAA;AAAA,4BAEN;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAQzB;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,OAAG,IAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,CAAC,KAAK,KAAK,EAAE,CAAC,IAAE,KAAK,cAAc,CAAC,CAAC,GAAE,KAAK,KAAK,EAAE,CAAC,IAAE,KAAK,cAAc,CAAC,CAAC,GAAE,EAAE,CAAC,CAAC;AAAE,QAAI,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,MAAM;AAAE,QAAI,IAAE,KAAG;AAAK,SAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,YAAU,yBAAyB,KAAK,cAAc,KAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACpoB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,QACjD,GAAG,KAAK,SAAQ,KAAK,YAAW,KAAK,YAAW,KAAK,UAAU;AAAA,QAC/D,IAAI,KAAK,aAAa;AAAA;AAAA,EACzB;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qDAAoD,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,kBAAgB,KAAI,EAAE,OAAO,EAAE,CAAC,MAAI,GAAE,MAAI,8CAA8C,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC;AAAE,QAAI,KAAG,KAAG,KAAK,YAAY,CAAC,IAAE,MAAI,KAAG,CAAC,KAAGA,MAAE,MAAI,MAAI,KAAK,YAAY,CAAC,IAAE,MAAI;AAAE,SAAK,oBAAkB,CAAC,GAAE,GAAE,KAAK,eAAe,GAAE,KAAK,kBAAgB,IAAE,IAAE,GAAE,MAAI,KAAK,YAAY,CAAC,IAAE,OAAK,KAAK,kBAAkB,CAAC,IAAE,IAAG,KAAK,YAAY,CAAC,IAAE,OAAK,KAAK,kBAAkB,CAAC,IAAE,KAAI,KAAK,WAAS,EAAE,KAAK,gBAAe,CAAC,KAAK,YAAY,CAAC,GAAE,KAAK,YAAY,CAAC,GAAE,KAAK,YAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,aAAW,GAAE,KAAK,aAAW,GAAE,KAAK,YAAU,gBAAgB,KAAK,KAAK,KAAK,qBAAqB,KAAK;AAAA,EAAiB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK;AAAgB,WAAM;AAAA,QACp5B,GAAG,OAAG,KAAK,YAAW,OAAG,OAAG,OAAG,CAAC;AAAA,gEACwB,GAAG,CAAC;AAAA,4BACxC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAMI;AAAA,cAClB,GAAG,0BAAyB,GAAG,IAAE,IAAE,aAAW,WAAU,SAAS;AAAA;AAAA;AAAA;AAAA,QAIvE,MAAI,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,IAAG,MAAG,KAAK,eAAe,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,KAAK,YAAW,IAAG,MAAG,KAAK,eAAe;AAAA;AAAA,EACzL;AAAC;AAfE,IAeA,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,MAAK,IAAE,MAAK,IAAE,MAAK;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,UAAQA,OAAG,MAAK,KAAK,4BAA0B,KAAG,MAAK,KAAK,aAAW,GAAE,KAAK,WAAS,KAAK,cAAc,KAAK,MAAM,GAAE,KAAK,6BAA2B,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,YAAU,kBAAkB;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC7gB,GAAG,KAAK,YAAW,KAAK,yBAAyB;AAAA,MACjD,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,UAIL,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA,EAIpC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,gBAAe,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC5T,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKZ;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAEA;AAAE,MAAG,IAAE,KAAG,EAAE,WAAW,CAAC,GAAE,MAAI,UAAS;AAAC,QAAI,IAAE,EAAE,kBAAkB,GAAE,EAAE,cAAc,CAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAEA,KAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,uBAAuB,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC;AAAE,SAAO,EAAE,OAAO,MAAI,GAAE,MAAI,kBAAkB,UAAU,iCAAiC,EAAE,cAAc,gFAAgF,GAAE,EAAE,QAAQ,OAAO,EAAE,MAAM,GAAE,EAAC,QAAO,EAAE,QAAO,OAAM,GAAE,OAAM,EAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAWA,KAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,QAAO,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAEA,MAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,IAAE,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,GAAG,2BAA2B,EAAE,MAAM,MAAM,GAAE,EAAE,GAAE,EAAE,MAAM,MAAM,GAAE,EAAE,CAAC,EAAE,OAAO,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,OAAO,MAAI,GAAE,MAAI,kCAAkC,WAAW,6BAA6B,EAAE,aAAa,EAAE,wBAAwBA,sBAAoB,eAAe;AAAE,MAAI,IAAEA,MAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,GAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,EAAE,IAAI,4BAA4B;AAAE,MAAG,IAAE,GAAE;AAAC,QAAI,IAAE,EAAE,EAAE,UAAU,oDAAoD,GAAE,IAAE,IAAE,IAAE,IAAE,EAAE,+BAA8B,IAAE,IAAE,KAAK,KAAK,IAAE,EAAE,IAAE,KAAK,KAAK,IAAE,EAAE;AAAE,SAAG,KAAG,KAAG,KAAG,KAAG,IAAE,IAAE,IAAE,IAAE,KAAG,MAAI,IAAE,GAAG,sBAAoB,MAAI,KAAG,KAAG,MAAI,IAAE,GAAG,sBAAoB,IAAE,GAAG,+BAA6B,IAAE,GAAG;AAAA,EAAmB;AAAC,UAAO,GAAE;AAAA,IAAC,KAAK,GAAG;AAAoB,UAAE,IAAI,GAAG,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM,KAAK,GAAG,qBAAoB;AAAC,UAAG,IAAE,GAAG,EAAC,SAAQ,GAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,CAAC,GAAE,KAAG,GAAE;AAAC,YAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,YAAI,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,MAAK,KAAG,CAAC,CAAC;AAAE,aAAG,GAAG,KAAK,CAAC,GAAE,KAAG,GAAG,KAAK,CAAC,GAAE,MAAI,gBAAc,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU;AAAiB,YAAI,KAAG,EAAE,iBAAiB,GAAE,IAAG,EAAE,OAAM,CAAC;AAAE,UAAE,KAAK,CAAC;AAAE,YAAI,KAAG,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,UAAE,KAAK,EAAE;AAAE,iBAAQ,MAAM;AAAE,YAAE,YAAY,GAAG,MAAM;AAAE,eAAO;AAAA,MAAE;AAAC;AAAA,IAAK;AAAA,IAAC,KAAK,GAAG;AAA6B,UAAE,IAAI,GAAG,GAAE,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM,KAAK,GAAG;AAAoB,UAAI,IAAE,EAAE,YAAY,QAAQ;AAAE,UAAE,IAAI,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE;AAAA,IAAM;AAAQ,YAAM,IAAI,MAAM,iCAAiC,IAAI;AAAA,EAAC;AAAC,OAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC,GAAE,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU,kBAAiB,IAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,SAAQ,OAAO,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,mBAAmB,KAAI,KAAK,KAAG;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA,UAGhqH,GAAG,KAAK,IAAG,KAAE;AAAA;AAAA;AAAA,QAGf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,cAAY,EAAE,2BAA2BA,KAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,KAAG,GAAE,KAAK,uBAAqBA,IAAE,UAAQ,KAAG,EAAE,SAAO,KAAGA,IAAE,CAAC,IAAE,KAAI,KAAK,uBAAqB,EAAE,UAAQ,KAAGA,IAAE,SAAO,KAAG,EAAE,CAAC,IAAE,KAAI,KAAK,wBAAsB,KAAK;AAAqB,WAAK,kBAAgB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,GAAE,KAAK,oBAAkB,KAAK,uBAAqB,EAAE,CAAC,IAAEA,IAAE,CAAC,GAAE,KAAK,YAAU,UAAU,KAAK,KAAK,qBAAoB,KAAK,OAAK,UAAS,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC;AAAA,SAAM;AAAC,UAAI,IAAEA,IAAE,SAAO,KAAGA,IAAEA,IAAE,SAAO,CAAC,IAAE,MAAI,GAAE,IAAE,EAAE,SAAO,KAAG,EAAE,EAAE,SAAO,CAAC,IAAE,MAAI;AAAE,WAAG,KAAG,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,KAAG,MAAI,EAAE,cAAc,CAAC,KAAG,EAAE,EAAE,SAAO,CAAC,MAAI,MAAI,MAAI,EAAE,cAAcA,GAAC,KAAGA,IAAEA,IAAE,SAAO,CAAC,MAAI,MAAI,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,MAAI,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,IAAG,KAAK,OAAK,aAAY,KAAK,YAAU,UAAU,KAAK,KAAK,sBAAqB,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC;AAAA,IAAC;AAAC,SAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,iBAAgB,GAAE,CAAC,CAAC;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,QAAI,GAAEA,MAAE,KAAK,oBAAkB,IAAE,cAAY,OAAM,IAAE;AAAA,6BACzoCA,YAAUA,WAASA;AAAA,QACxC,GAAG,KAAK,IAAG,KAAK,oBAAkB,CAAC;AAAA;AAAA;AAErC,QAAG,KAAK,SAAO,UAAS;AAAC,UAAI,IAAE,KAAK,oBAAkB,IAAE,UAAU,KAAK,YAAY,SAAO,OAAK,KAAI,IAAE,KAAK,uBAAqB;AAAA,8BACvG,QAAM,qBAAqB;AAAA;AACZ,UAAE;AAAA,UACrC;AAAA,gDACsC,KAAK;AAAA,UAC3C,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGS,KAAK;AAAA,0CACS,KAAK,uBAAqB,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM1D;AAAA;AAAA;AAAA;AAAA;AAAA,IAIL;AAAM,UAAE;AAAA,SACR;AAAA,SACA,EAAE,OAAO;AAAA;AAAA,qDAEmC,KAAK;AAAA,qBACrCA;AAAA,qBACAA;AAAA;AAAA;AAAA;AAAA;AAIZ,WAAO;AAAA,EAAC;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,GAAEA,IAAC,IAAE;AAAE,SAAO,EAAE,QAAQ,OAAOA,IAAE,MAAM,GAAE,EAAC,QAAOA,IAAE,QAAO,OAAMA,IAAE,OAAM,OAAMA,IAAE,MAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,MAAK,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,IAAE,eAAe,EAAE,OAAM,WAAW,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,SAAO,EAAE,qBAAmB,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,IAAG;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE;AAAI,SAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,KAAGA,KAAE,MAAI,OAAK,KAAK,WAAS,IAAG,KAAK,YAAU,SAASA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA,UAEtyB,GAAG,KAAK,IAAG,KAAE;AAAA;AAAA,QAEf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMV;AAAC;AAAE,SAAS,GAAG,EAAC,QAAO,GAAE,eAAc,GAAE,OAAMA,IAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,GAAE,IAAEA,OAAG,EAAE;AAAM,QAAG,EAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,EAAE,QAAO,CAAC;AAAE,aAAO,EAAE,eAAe,EAAE,OAAM,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,SAAS,GAAG,EAAC,QAAO,GAAE,eAAc,GAAE,iBAAgBA,MAAE,OAAG,OAAM,EAAC,GAAE;AAAC,SAAM,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,QAAG,EAAC,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE;AAAE,QAAGA,OAAG,EAAE,UAAQ,aAAY;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,GAAE,GAAE;AAAE,UAAG,MAAI,GAAG;AAAI,SAAC,GAAE,CAAC,IAAE,CAAC,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,GAAE,CAAC,EAAE,mBAAmB,MAAK,EAAE,mBAAmB,IAAI,CAAC,EAAE,IAAI,OAAG;AAAC,cAAG,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK,GAAE,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,iBAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAA,QAAC,CAAC;AAAA,WAAM;AAAC,YAAI,IAAE,IAAI,GAAG,GAAG,uBAAsB,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAG,uBAAsB,EAAE,OAAM,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAE,MAAK,CAAC;AAAE,YAAE,EAAE,iBAAiB,GAAE,GAAE,SAAS,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,SAAS;AAAA,MAAC;AAAC,UAAI,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,aAAO,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE;AAAA,IAAC;AAAC,QAAI,IAAE,KAAG,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAI,EAAE,UAAQ,YAAU,EAAE,UAAQ,YAAU,EAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,MAAI,KAAG,MAAK;AAAC,UAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,uBAAuB,CAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,aAAO,EAAE,eAAe,GAAE,GAAE,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAA,EAAC;AAAC;AAAC,IAAG,EAAC,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,YAAW,IAAG,WAAU,IAAG,SAAQ,IAAG,WAAU,IAAG,WAAU,IAAG,cAAa,IAAG,cAAa,IAAG,cAAa,IAAG,kBAAiB,IAAG,aAAY,IAAG,eAAc,IAAG,UAAS,IAAG,SAAQ,IAAG,SAAQ,IAAG,aAAY,IAAG,aAAY,IAAG,cAAa,IAAG,SAAQ,IAAG,cAAa,IAAG,UAAS,IAAG,WAAU,IAAG,WAAU,IAAG,aAAY,IAAG,eAAc,IAAG,WAAU,IAAG,kBAAiB,IAAG,kBAAiB,IAAG,SAAQ,IAAG,UAAS,IAAG,UAAS,IAAG,eAAc,IAAG,YAAW,IAAG,IAAE;AAAG,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,GAAE,CAAC;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA9D,IAAgE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAACA,KAAE,MAAI,IAAI,GAAG,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC;AAAE,SAAK,cAAc,QAAQ,OAAG;AAAC,QAAE,KAAK,QAAQ,UAAU,0BAA0B;AAAA,IAAC,CAAC;AAAE,QAAIA,MAAE,KAAK,cAAc,IAAI,OAAG,IAAI,GAAG,EAAE,KAAK,KAAK;AAAE,WAAM;AAAA,QACxtG,EAAE,OAAO;AAAA,8BACa,KAAK;AAAA,oCACC,KAAK;AAAA;AAAA;AAAA,cAG3B,EAAE,KAAK;AAAA,SACZ;AAAA,0CACiCA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIrC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,EAAE,OAAO,CAAC,GAAE,MAAI,GAAG,GAAE,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,IAAG,CAAC;AAAE,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAiB;AAAA,EAAC,cAAa;AAAC,MAAE,OAAO,KAAK,cAAc,CAAC,MAAI,KAAK,cAAc,CAAC,GAAE,MAAI,gDAAgD,KAAK,cAAc,CAAC,OAAO,KAAK,cAAc,CAAC,GAAG;AAAE,QAAI,IAAE,KAAK,cAAc,CAAC;AAAE,WAAM;AAAA,+CACrvB,KAAK,cAAc,CAAC,IAAE,OAAO,KAAK,cAAc,CAAC;AAAA,QACxF,EAAE;AAAA,uCAC6B;AAAA,uCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mCAQJ;AAAA,mCACA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAM9B;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAEA,IAAE,CAAC,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,SAAOA,KAAE,KAAK,YAAU,aAAaA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,GAAG,KAAK,YAAY,MAAM,GAAEA,MAAE,IAAI,KAAK,MAAM;AAAE,WAAM;AAAA,QAC3c,EAAE,OAAO;AAAA,6BACY,KAAK;AAAA,oCACE,KAAK;AAAA;AAAA;AAAA,8DAGqB,KAAK,YAAY;AAAA,gBAC/D,KAAKA;AAAA;AAAA;AAAA;AAAA;AAAA,EAIhB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,EAAE;AAAO,MAAG,IAAE;AAAE,UAAM,MAAM,sBAAsB,wBAAwB;AAAE,MAAIA,MAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,IAAAA,IAAE,EAAE,CAAC,CAAC,IAAE,SAAS,GAAG,CAAC;AAAI,SAAOA,IAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,MAAE,CAAC,IAAE,EAAE,MAAM,EAAE,CAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAE,MAAM,WAAS,KAAG,EAAE,YAAY,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,WAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,qBAAoB,KAAK,OAAK,MAAG,KAAK,aAAW,CAAC,EAAE,WAAU,EAAE,MAAM;AAAE,QAAG,CAAC,CAAC,IAAE,EAAE,0BAA0B,KAAK,YAAW,CAAC,CAAC,CAAC;AAAE,SAAK,cAAY,EAAE,WAAS,IAAE,CAAC,CAAC,IAAE,GAAE,EAAE,UAAQ,SAAO,KAAG,MAAI,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,IAAE,EAAE,UAAQ,OAAK,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,IAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,KAAK,aAAWA,KAAE,KAAK,YAAU,UAAUA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAGA,MAAE,OAAM,IAAE,KAAK,cAAc,CAAC;AAAE,SAAK,eAAa,SAAO,KAAK,eAAa,SAAO,IAAE;AAAA;AAAA;AAAA,qDAG3vC,KAAK,eAAa,QAAM,MAAI;AAAA,yCACzCA,MAAE,oBAAkB,KAAK,eAAa,SAAO,KAAK,eAAa,SAAO,IAAE,yCAAuC,KAAK,eAAa,UAAQ,IAAE,wCAAuCA,MAAE,SAAO,KAAK,eAAa,SAAO,IAAE,4DAA2DA,MAAE,SAAO,KAAK,eAAa,UAAQ,IAAE,4DAA2DA,MAAE;AAAO,QAAI,IAAE,KAAK,eAAa,SAAO,yEAAuE;AAA4C,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA,SAKjjB;AAAA,mDAC0C;AAAA;AAAA;AAAA;AAAA,wBAI3B,KAAK,YAAY,WAAS,IAAE,iBAAe;AAAA;AAAA;AAAA,SAG1D,EAAE,OAAO;AAAA,qCACmB;AAAA;AAAA,2BAEVA;AAAA;AAAA,qDAE0B;AAAA;AAAA,uBAE9B;AAAA;AAAA,aAEV;AAAA;AAAA;AAAA;AAAA;AAAA,6CAKgC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM/B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAQF;AAAA;AAAA;AAAA;AAAA,EAGN;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,MAAK,EAAC,GAAE,SAAQ,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,2BAA2B,GAAE,GAAE,CAAC;AAAE,MAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,EAAE,OAAM,CAAC,GAAE,IAAE;AAAE,EAAAA,QAAI,IAAE,EAAE,qBAAqB,GAAE,CAAC;AAAG,MAAI;AAAE,OAAI,MAAI,SAAO,MAAI,WAAS,EAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAE,EAAE,UAAU,IAAI,EAAE,MAAM,EAAE;AAAO,YAAO,GAAE;AAAA,MAAC,KAAI;AAAM,YAAI,IAAE,GAAG,GAAE,EAAE,cAAc,CAAC,GAAE,GAAE,EAAE,KAAK;AAAE,YAAE,EAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAE;AAAA,MAAM,KAAI;AAAO,YAAG,EAAC,SAAQ,GAAE,UAAS,GAAE,UAAS,EAAC,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC;AAAE,YAAE,EAAE,eAAe,GAAE,GAAE,CAAC;AAAE;AAAA,MAAM;AAAQ,cAAM,IAAI,MAAM,GAAG,4CAA4C;AAAA,IAAC;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,EAAC,YAAW,GAAE,QAAO,GAAE,WAAU,GAAE,SAAQ,EAAC,GAAE,IAAE,MAAI,SAAO,YAAU,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,EAAE,OAAO,OAAO,wBAAwB,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,MAAE,KAAK,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAG,EAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wBAAuB,KAAK,OAAK;AAAG,QAAI,IAAE,CAACA,GAAC;AAAE,SAAK,KAAG,MAAI,QAAM,MAAI;AAAI,QAAG,CAAC,GAAE,CAAC,IAAE,EAAE,0BAA0B,GAAE,CAAC;AAAE,SAAK,cAAY,EAAE,WAAS,IAAE,CAAC,CAAC,IAAE,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,EAAE,cAAc,CAAC,IAAE,MAAI,EAAE,cAAc,CAAC,IAAE,OAAK,KAAK,OAAK,SAAQ,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,MAAI,KAAK,OAAK,UAAS,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,GAAE,GAAE,CAAC,CAAC,IAAG,KAAK,aAAW,GAAE,KAAK,YAAU,aAAa,KAAK,MAAM,KAAK;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAc,CAAC,GAAEA,MAAE,MAAI,KAAK,WAAW,WAAS,IAAE,oBAAkB,mBAAmB,GAAG,KAAK,WAAW,SAAO,CAAC,KAAI,IAAE,MAAI;AAAC,UAAI,IAAE;AAAG,UAAG,KAAK,YAAY,WAAS;AAAE,aAAK,WAAW,WAAS,MAAI,KAAG;AAAA;AAAsB,iBAAQ,IAAE,GAAE,IAAE,KAAK,YAAY,QAAO;AAAI,eAAG,gBAAgB,GAAG,CAAC;AAAK,aAAO;AAAA,IAAC;AAAE,WAAO,KAAK,SAAO,WAAS;AAAA;AAAA;AAAA;AAAA;AAAA,QAKjyE;AAAA,iDACyC;AAAA,gDACD;AAAA;AAAA;AAAA,QAGxC,EAAE,OAAO;AAAA,oCACmB;AAAA,6BACPA,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAMT;AAAA,iCACW,EAAE;AAAA,+CACY,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kDASF;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAMtB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAc3B;AAAA,QACE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,iCAIgB,EAAE;AAAA,+BACJA,IAAE;AAAA;AAAA,mCAEE,EAAE;AAAA,4BACT,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ1B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,CAAC,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,EAAE,mBAAmB,GAAE,EAAE,MAAM,MAAM,GAAE,IAAE,GAAE,IAAE,CAAC;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,EAAE,QAAO,EAAE,MAAM,MAAM,IAAG,EAAE,2BAA2B,UAAS,CAAC,EAAE,CAAC,CAAC,GAAE,EAAE,MAAM,MAAM;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,CAAC,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,MAAK,CAAC;AAA5B,IAA8B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wBAAuB,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAA6B;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACz0D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAcZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,+GAA8G,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAGA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,SAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAASA,KAAE,KAAK,mBAAiB,GAAE,KAAK,mBAAiB,GAAE,KAAK,oBAAkB,GAAE,KAAK,YAAU,UAAUA,OAAK,KAAK,KAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,SAAK,aAAW,QAAM,IAAE,4DAA0D,KAAK,mBAAiB,IAAE;AAAA;AAAA;AAAA;AAAA,wBAI1rB,KAAK,mBAAiB,KAAK,oBAAkB,2FAAyF,4DAA0D;AAAA,WAC/M,IAAE;AAAyC,QAAIA,MAAE;AAAc,WAAO,KAAK,aAAW,UAAQA,MAAE,kCAAiC;AAAA,QAClI,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YASL,KAAK,mBAAiB;AAAA;AAAA,oCAEA,qBAAqB,KAAK,aAAW,QAAM,QAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gBAiBnE;AAAA;AAAA;AAAA;AAAA,YAIJ,KAAK,mBAAiB,6CAA2C,2BAA2BA;AAAA;AAAA;AAAA;AAAA,EAGnG;AAAC;AAzCE,IAyCA,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG,IAAE,OAAG,IAAE,OAAG;AAAC,QAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wFAAuF,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAGA,QAAI,SAAO;AAAE,YAAM,IAAI,MAAM,4CAA4C;AAAE,SAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAASA,KAAE,KAAK,mBAAiB,GAAE,KAAK,mBAAiB,GAAE,KAAK,oBAAkB,GAAE,KAAK,YAAU,UAAUA,OAAK,KAAK,KAAK;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,SAAK,aAAW,QAAM,IAAE,wCAAsC,KAAK,mBAAiB,IAAE;AAAA;AAAA;AAAA;AAAA,wBAI3oB,KAAK,mBAAiB,KAAK,oBAAkB,oHAAkH,sFAAoF;AAAA,WAClQ,IAAE;AAAyC,QAAIA,MAAE;AAAc,WAAO,KAAK,aAAW,UAAQA,MAAE,kCAAiC;AAAA,QAClI,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWL,KAAK,mBAAiB;AAAA;AAAA,oCAEA,qBAAqB,KAAK,aAAW,QAAM,QAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,kBAsBjE;AAAA;AAAA;AAAA;AAAA;AAAA,YAKN,KAAK,mBAAiB,6CAA2C,2BAA2BA;AAAA;AAAA;AAAA;AAAA,EAGnG;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,QAAOA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE;AAAC,MAAG,EAAE,gBAAc,KAAG,EAAE,iBAAe,KAAG,EAAE,YAAY,EAAE,SAAQ,EAAE,QAAQ;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,EAAC,CAAC;AAAE,MAAG,EAAE,gBAAc,EAAE,WAAS,EAAE,iBAAe,EAAE,YAAU,EAAE,cAAY,KAAG,EAAE,QAAQ,SAAO,SAAQ;AAAC,QAAI,IAAE,EAAE,MAAM,QAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,IAAE,CAAC,IAAE,EAAE,MAAM,IAAE,CAAC,GAAE,EAAE,MAAM,IAAE,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE;AAAE,IAAAA,QAAI,QAAM,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,MAAK,GAAE,UAAS,MAAE,EAAC,CAAC,KAAG,EAAE,OAAOA,QAAI,OAAM,MAAI,qBAAqBA,KAAG,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,kBAAiB,GAAE,UAAS,MAAE,EAAC,CAAC;AAAG,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,EAAC,CAAC;AAAE,WAAO,EAAE,YAAY,EAAE,MAAM,GAAE,EAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAe,KAAG,EAAE,gBAAc,IAAE,IAAE,IAAI,GAAG,CAAC,KAAGA,QAAI,QAAM,IAAE,IAAI,GAAG,GAAE,KAAK,KAAG,EAAE,OAAOA,QAAI,OAAM,MAAI,qBAAqBA,KAAG,GAAE,IAAE,IAAI,GAAG,GAAE,KAAK,IAAG,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC,IAAG,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAQ,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,WAAS;AAAA,+DACtvE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAClS,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAqCZ;AAAC;AAvC0uE,IAuCxuE,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,WAAS;AAAA,+EACM,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAClT,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA+CZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,KAAG,EAAE,cAAY,EAAE,eAAa,EAAE,cAAa,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAqB,IAAE,EAAE,QAAQ,OAAM,EAAE,wBAAsB,IAAE,EAAE,QAAQ,KAAI,EAAE,uBAAqB,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,KAAG,EAAE,eAAa,EAAE,cAAa,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,wBAAsB,IAAE,EAAE,QAAQ,KAAI,EAAE,uBAAqB,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,YAAW,EAAC,IAAE;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,GAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,OAAKA,IAAE,QAAO,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,QAAM,GAAE,KAAK,WAAS,WAAW,GAAG,EAAE,MAAM,OAAM,KAAK,YAAU;AAAA,EAAO;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,GAAG,KAAK,IAAI,GAAEA,MAAE,IAAI,KAAK,IAAI,GAAE;AAAE,WAAO,KAAK,MAAM,WAAS,IAAE,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,MAAI,sCAAsC,IAAE,IAAE,KAAK,YAAY,IAAI,CAAC,GAAE,MAAI,aAAa,GAAG,CAAC,sBAAsB,GAAG,CAAC,cAAc,GAAG,CAAC,IAAI,GAAE;AAAA,QAC1uE,EAAE,OAAO;AAAA;AAAA,4BAEW;AAAA;AAAA,YAEhB,EAAE,KAAK;AAAA,CAClB;AAAA,8CAC6CA;AAAA;AAAA;AAAA;AAAA,EAGzC;AAAC;AAV2nD,IAUznD,KAAG,CAAC,KAAI,KAAI,KAAI,KAAI,KAAI,GAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,MAAI;AAAE,WAAM;AAAY,MAAG,KAAG;AAAE,WAAO,GAAG,MAAM,GAAE,CAAC,EAAE,IAAI,OAAG,aAAa,GAAG,EAAE,KAAK,GAAG;AAAE,QAAM,MAAM,oBAAoB,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,iBAAiB,GAAE,GAAE,CAAC;AAAE,MAAG,GAAG,kBAAkB,GAAE,GAAE,CAAC,GAAEA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,QAAO,GAAE,GAAE,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,OAAM,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,uEAAuE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,MAAM,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,oBAAoB,GAAE,EAAE,MAAM,GAAE,IAAE,EAAE,aAAa,GAAE,GAAE,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAA7oB,IAA+oB,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI;AAAA;AAAA,MAEt4C,GAAG,kBAAiB,SAAQ,SAAS;AAAA;AAAA;AAFy1C,IAIl4C,MAAI;AAAA;AAAA;AAAA;AAAA;AAJ83C,IAQl4C,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,uBAAsB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,aAAW,MAAG,KAAK,eAAa,OAAG,KAAK,cAAY,GAAE,KAAK,OAAK,EAAE,QAAO,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,eAAa,GAAE,MAAI,KAAK,SAAO,QAAI,KAAK,aAAWA,KAAE,KAAK,cAAY,KAAK,cAAc,KAAK,GAAG,GAAE,KAAK,YAAU,YAAY,KAAK,cAAc,KAAK,gBAAgB,KAAK;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACjiB,KAAK,eAAa,MAAI;AAAA,IACxB,EAAE,OAAO;AAAA,MACP,KAAK,SAAO,IAAE;AAAA;AAAA;AAAA,sBAGE,KAAK,eAAa,IAAE,KAAK,aAAW,gBAAc;AAAA;AAAA;AAAA,SAGjE;AAAA;AAAA;AAAA;AAAA,sBAIe,KAAK,eAAa,IAAE,KAAK,aAAW,6BAA2B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlF;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,MAAK,IAAI,GAAE,KAAK,WAAS,gCAA+B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,IACnsB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwBV;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,IAAG,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,QAAO,IAAE,EAAE,QAAO,IAAE,EAAE,2BAA2B,MAAM,KAAK,CAAC,GAAE,MAAM,KAAK,CAAC,CAAC;AAAE,WAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,WAAW,KAAK,CAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,KAAK,IAAI,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,WAAU,OAAM,QAAO,eAAc,GAAE,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,IAAI,GAAG,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,EAAE,iBAAiBA,KAAE,CAAC,CAAC,GAAE,OAAO;AAAE,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,MAAG,MAAI,aAAY;AAAC,QAAG,EAAE,UAAQ;AAAY,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,QAAI,IAAE,GAAG,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,UAAS,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAG,CAAC,EAAE,gBAAgB,EAAE,OAAM,CAAC,GAAE;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAC;AAAA,EAAC;AAAC,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,CAAC,GAAE,GAAE,CAAC,IAAE,GAAG,GAAE,EAAE,OAAM,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAQ,WAAO,GAAG,GAAEA,GAAC;AAAE,MAAG,MAAI,QAAO;AAAC,QAAI,IAAEA,IAAE,eAAe,CAAC,GAAE,QAAO,EAAE,uBAAuB,QAAO,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,QAAM,IAAI,MAAM,iCAAiC,EAAE,YAAY,GAAG;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,+BAA8B,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,kBAAgB,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAU;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC/6E,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,+BAA8B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACxT,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,cAAc,EAAE,KAAK,IAAE,MAAI,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,QAAO,MAAM,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACjnB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAWZ;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,SAAM,EAAC,QAAO,EAAE,QAAO,OAAM,EAAE,OAAM,OAAM,EAAE,MAAK;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,GAAG,GAAE,EAAE,mBAAmB,IAAI,GAAE,GAAG,GAAE,EAAE,mBAAmB,IAAI,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,EAAE,CAAC,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,gBAAgB,GAAE,CAAC,GAAE,KAAK,gBAAc,EAAE,IAAI,CAACA,KAAE,MAAI,IAAI,GAAG,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC,GAAE,KAAK,eAAa,EAAE,SAAO;AAAE,aAAQA,MAAE,GAAEA,MAAE,KAAK,cAAaA;AAAI,WAAK,YAAU,SAASA;AAAW,SAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,CAAC;AAAE,QAAG,KAAK,eAAa,GAAE;AAAC,QAAE,KAAK,qFAAqF;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,cAAa;AAAI,UAAE,KAAK,gCAAgC,CAAC,CAAC,iDAAiD,6BAA6B,IAAE,QAAQ;AAAE,UAAI,IAAE,KAAK,cAAa,IAAE,KAAK,eAAa;AAAE,QAAE,KAAK,oDAAoD,6BAA6B,QAAQ;AAAA,IAAC;AAAM,QAAE,KAAK,uDAAuD;AAAE,WAAM;AAAA,QAC7xC,EAAE,OAAO;AAAA,6BACY,KAAK;AAAA,oCACE,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAM3B,EAAE,KAAK;AAAA,SACZ;AAAA;AAAA;AAAA;AAAA;AAAA,EAIJ;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,mBAAmB,KAAI,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,CAAC,EAAE;AAAM,MAAG,MAAI,aAAY;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,GAAE,GAAEA,GAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,mBAAmB,CAAC;AAAE,MAAG,MAAI,aAAW,IAAE,OAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,OAAG;AAAC,UAAI,IAAE,CAAC,IAAG,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC;AAAE,aAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,IAAC,CAAC,GAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAKA,IAAE,SAAS,EAAE,MAAM,GAAE,OAAM,EAAE,MAAK,EAAE,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAE,EAAE,CAAC,EAAE,MAAM,CAAC,MAAI,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC,GAAE,IAAEA,IAAE,eAAe,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,OAAO,OAAO,kCAAgC;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,QAAI,IAAE,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAG,GAAE;AAAC,UAAI,IAAE,EAAE,MAAM,GAAE,IAAE,CAAC;AAAE,QAAE,KAAK,GAAG,GAAE,GAAEA,GAAC,CAAC;AAAA,IAAC;AAAC,QAAI,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAE,aAAQ,KAAK;AAAE,MAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,WAAO;AAAA,EAAC;AAAC,MAAG,EAAC,WAAU,GAAE,UAAS,EAAC,IAAE,IAAI,GAAE,GAAEA,GAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,EAAE,SAAO,CAAC;AAAE,MAAG,EAAE,SAAO,GAAE;AAAC,MAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,CAAC,EAAC,CAAC;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,IAAE,CAAC,IAAE,EAAE,CAAC,EAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAEA,IAAE,iBAAiB,GAAE,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC;AAAE,IAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,SAAM,EAAC,WAAU,EAAE,IAAI,OAAG,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,MAAM,MAAM,GAAE,CAAC,CAAC,GAAE,EAAE,cAAc,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,EAAC,EAAC,CAAC,CAAC,GAAE,UAAS,EAAC;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,CAAC,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG,EAAE,KAAK;AAAE,IAAE,uBAAuB,GAAE,CAAC;AAAE,MAAI,IAAE,EAAE,gBAAgB,EAAE,IAAI,OAAG,EAAE,KAAK,GAAE,CAAC;AAAE,MAAG,EAAE,cAAc,CAAC,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,CAAC,EAAE,OAAM,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAO,OAAG,EAAE,cAAc,EAAE,KAAK,IAAE,CAAC;AAAE,SAAO,EAAE,WAAS,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,IAAE,GAAG,GAAE,GAAEA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE;AAAC,MAAI,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAAuB,KAAK;AAAE,eAAM;AAAA,MAAgE,KAAK;AAAE,eAAM;AAAA,MAA2B;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAA8C,KAAK;AAAE,eAAM;AAAA,MAAkD;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE,IAAE;AAAA;AAAA,UAE7qF;AAAA;AAAA,SAEA,IAAE,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAMJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,SAMA,IAAE,IAAE,uBAAqB,sBAAqB,IAAE,IAAE,uBAAqB,sBAAqB,IAAE,IAAE,QAAM,OAAM,IAAE,IAAE,QAAM,OAAM,IAAE;AAAA;AAAA,uBAE/G,IAAE,yBAAuB;AAAA,qBAC3B;AAAA,qBACA;AAAA;AAAA,mBAEF;AAAA,mBACA;AAAA;AAAA;AAAA,kBAGD;AAAA,sBACI,GAAG,CAAC;AAAA;AAAA;AAAA,gCAGM,4BAA4B;AAAA,UAClD;AAAA;AAAA,UAEA,EAAE,CAAC;AAAA;AAAA,wBAEU,IAAE,IAAE,KAAG,IAAE;AAAA,0BACN;AAAA,QAClB,MAAI;AAAA,0BACc;AAAA;AAAA,UAEhB;AAAA;AAAA,eAEK,GAAG,CAAC,YAAU,KAAGA,MAAE;AAAA,0BACR;AAAA,QAClB,MAAI;AAAA,0BACc;AAAA;AAAA,UAEhB;AAAA;AAAA,eAEK,GAAG,CAAC,WAAU,IAAE,GAAG,EAAE,CAAC,KAAI,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAG,CAAC,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,GAAG,CAAC,IAAE,GAAG,CAAC;AAAE,SAAM;AAAA,QAC/E,GAAG,GAAE,GAAE,MAAI,GAAE,CAAC;AAAA,2DACqC;AAAA,UACjD,IAAE,IAAE;AAAA;AAAA;AAAA,2DAG6C;AAAA,UACjD,IAAE,IAAE;AAAA;AAAA;AAAA,kEAGoD;AAAA,4BACtC;AAAA;AAAA;AAAA;AAAA,yBAIH,IAAE,yBAAuB;AAAA,UACxC;AAAA,UACA,GAAG,GAAE,CAAC;AAAA;AAAA;AAAA;AAGR;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,2IAA0I,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,WAAS,EAAE,aAAW,MAAI,KAAG,EAAE,aAAW,MAAI,MAAI,KAAK,kBAAgB,EAAE,WAAS,MAAI,KAAG,CAAC,KAAK,mBAAiB,EAAE,cAAY,MAAI,GAAE,KAAK,iBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,IAAE,EAAC,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,gBAAc,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,oBAAkB,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,UAAQ,KAAK,kBAAgB,GAAE,KAAK,kBAAgB,EAAE,aAAW,MAAI,KAAG,KAAK,mBAAiB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,MAAI,KAAK,mBAAiB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,IAAG,MAAI,KAAK,cAAc,KAAK,MAAM,GAAE,KAAK,mBAAmB,KAAK,CAAC,IAAG,MAAI,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,mBAAmB,KAAK,CAAC,OAAK,KAAK,mBAAiB,KAAK,kBAAkB,CAAC,GAAE,KAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,IAAG,KAAK,4BAA0B,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAE,KAAK,aAAW,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,KAAK,aAAW,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAkB,CAAC,GAAE,KAAK,YAAU,KAAK,IAAI,KAAK,cAAc,CAAC,IAAE,KAAK,kBAAiB,KAAK,cAAc,CAAC,CAAC,GAAE,KAAK,YAAUA,MAAE,KAAK,eAAa,GAAE,KAAK,YAAU,IAAE,KAAK,eAAa,GAAE,KAAK,WAAS,IAAE,KAAK,cAAY,GAAE,KAAK,YAAU,YAAY,KAAK,qBAAqB,KAAK,eAAe,KAAK,aAAa,KAAK,aAAa,KAAK,YAAY,KAAK,UAAU,KAAK,oBAAoB,KAAK,kBAAkB,KAAK;AAAA,EAA2B;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,eAAc,CAAC,KAAK,gBAAe,KAAK,SAAS,IAAE,GAAG,KAAK,mBAAkB,KAAK,eAAc,CAAC,KAAK,gBAAe,KAAK,WAAU,OAAG,MAAK,KAAK,yBAAyB,GAAEA,MAAE,KAAK,SAAO,CAAC,KAAK,kBAAiB,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,CAAC;AAAE,WAAM;AAAA,MAC9pE,IAAI,KAAK,gBAAe,KAAK,WAAU,KAAK,WAAU,KAAK,UAAS,KAAK,SAAQ,KAAK,YAAW,KAAK,2BAA0BA,IAAE,CAAC,GAAEA,IAAE,CAAC,GAAEA,IAAE,CAAC,CAAC;AAAA,MAC9I;AAAA;AAAA,EACH;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qFAAoF,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,iBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,IAAE,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,4BAA0B,GAAEA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,YAAU,eAAe,KAAK,cAAc,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SACpqB,GAAG,KAAK,YAAW,KAAK,2BAA0B,OAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,wBAkBvC,KAAK,iBAAe,sCAAoC;AAAA;AAAA;AAAA,aAGnE,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA,SAInC,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGU,KAAK,iBAAe,eAAa;AAAA,wBACrC,KAAK,iBAAe,eAAa;AAAA,wBACjC,KAAK,iBAAe,eAAa;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iDAMR,KAAK,iBAAe,wBAAsB;AAAA,iBAC1E,KAAK,iBAAe,kDAAgD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ/E;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS;AAAA,2BACpD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAeA,KAAE,KAAK,YAAU,UAAU,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,IAAE,GAAEA,MAAE,KAAK,iBAAe,IAAE,GAAE,IAAE,KAAK,iBAAe,cAAY,aAAY,IAAE,KAAK,iBAAe,cAAY,aAAY,IAAE,KAAK,iBAAe,gCAA8B;AAA8B,WAAM;AAAA,MAChgB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,oBAIK;AAAA,oBACA;AAAA;AAAA;AAAA;AAAA,oCAIgB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAMEA;AAAA,sBAChB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMlB;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,MAAIA,MAAE,EAAE;AAAO,SAAOA,OAAG,IAAE,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,GAAG,EAAE,MAAM,GAAE,EAAE,GAAE,EAAEA,MAAE,CAAC,GAAE,EAAEA,MAAE,CAAC,IAAE,EAAEA,MAAE,CAAC,CAAC,IAAE,CAAC,KAAGA,QAAI,KAAG,EAAE,CAAC,IAAE,IAAE,CAAC,EAAE,CAAC,GAAE,CAAC,IAAE;AAAI;AAAC,SAAS,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAEA,IAAE,eAAa,gBAAe,IAAE,CAAC,GAAE,IAAE,OAAG,IAAE,KAAGA,IAAE,iBAAeA,IAAE,YAAUA,IAAE,gBAAcA,IAAE,WAASA,IAAE,QAAQ,SAAO,SAAQ,IAAE,CAAC,GAAE,GAAE;AAAE,MAAG,GAAE;AAAC,QAAI,IAAEA,IAAE,WAASA,IAAE,UAAQA,IAAE;AAAW,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,WAAU,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAEA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAA,EAAC;AAAM,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,IAAE,CAACA,IAAE,WAAUA,IAAE,WAASA,IAAE,SAAQA,IAAE,UAAU,IAAE,CAACA,IAAE,WAAUA,IAAE,YAAWA,IAAE,WAASA,IAAE,OAAO,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAEA,IAAE,YAAWA,IAAE,WAAW,EAAC,EAAC,CAAC;AAAE,MAAG,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,GAAE,YAAW,GAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAG,EAAC,aAAY,GAAE,cAAa,GAAE,YAAW,GAAE,aAAY,GAAE,cAAa,GAAE,SAAQ,GAAE,UAAS,GAAE,WAAU,GAAE,eAAc,GAAE,gBAAe,GAAE,YAAW,EAAC,IAAEA,KAAE,IAAE,MAAI,gBAAe,IAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,IAAE,CAACA,IAAE,WAAU,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,KAAI,EAAE,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,GAAE,EAAE,EAAC,EAAC,CAAC;AAAE,MAAG,EAAE,KAAK,CAAC,GAAE,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,GAAG,EAAE,OAAM,CAAC;AAAE,SAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,EAAE;AAAC,MAAI,IAAE,GAAG,EAAC,GAAE,IAAE,IAAE,GAAE,GAAE,IAAE,IAAE,GAAE,YAAW,CAAC,GAAE,YAAW,OAAG,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAMA,IAAE,SAAQ,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,IAAE,MAAK,wBAAuB,IAAE,MAAK,gBAAe,IAAE,GAAE,YAAW,IAAE,KAAI,GAAE;AAAC,MAAI,IAAE,KAAG,MAAK,IAAE,KAAG,MAAK,IAAEA,IAAE,eAAa,gBAAe,IAAE,KAAGA,IAAE,iBAAeA,IAAE,YAAUA,IAAE,gBAAcA,IAAE,WAASA,IAAE,QAAQ,SAAO,SAAQ,IAAE,EAAE,EAAE,QAAQ,+BAA+B;AAAE,MAAG,CAAC,MAAI,KAAGA,IAAE,iBAAe,KAAGA,IAAE,gBAAc,KAAGA,IAAE,mBAAiB,KAAGA,IAAE,kBAAgB,KAAGA,IAAE,iBAAe,KAAGA,IAAE,gBAAc,MAAIA,IAAE,QAAQ,SAAO,UAAQA,IAAE,QAAQ,SAAO;AAAU,WAAO,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,GAAE,YAAW,GAAE,wBAAuB,GAAE,gBAAe,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,EAAE,UAAU,oDAAoD,GAAE,IAAE,IAAE,IAAE,IAAE,EAAE,+BAA8B,IAAEA,IAAE,YAAU,KAAK,KAAKA,IAAE,YAAUA,IAAE,WAAS,EAAE,IAAE,KAAK,KAAKA,IAAE,cAAY,EAAE;AAAE,MAAG,EAAE,EAAE,QAAQ,oCAAoC,KAAG,KAAG;AAAE,WAAO,IAAI,EAAC,GAAE,GAAE,QAAO,GAAE,UAASA,KAAE,SAAQ,GAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAE,MAAI,GAAE,IAAE,CAACA,IAAE,QAAQ,KAAIA,IAAE,QAAQ,IAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,cAAaA,IAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAG,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,cAAaA,IAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAACA,IAAE,gBAAeA,IAAE,aAAa,EAAC,CAAC;AAAE,MAAG;AAAE,QAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,CAAC;AAAA,OAAM;AAAC,QAAI,IAAE,IAAEA,IAAE,YAAUA,IAAE,WAASA,IAAE,aAAY,IAAE,IAAEA,IAAE,cAAYA,IAAE,YAAUA,IAAE,UAAS,IAAEA,IAAE,eAAaA,IAAE,cAAYA,IAAE;AAAW,MAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAI,IAAE,EAAE,YAAY,QAAQ;AAAE,QAAE,IAAI,GAAGA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,GAAE,CAAC;AAAE,QAAI,CAAC,KAAG,EAAE,MAAM,WAAS,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,KAAK,CAAC,IAAG,MAAI,CAAC,KAAG,EAAE,MAAM,WAAS,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,CAAC,EAAE,MAAM,CAAC,GAAE,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,EAAE,KAAK,CAAC,IAAG,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU;AAAiB,MAAI,IAAE,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAQ,KAAK;AAAE,MAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAEA,KAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQ,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,WAAS,2FAA0F,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,OAAG,KAAK,SAAO,OAAG,KAAK,gBAAc,GAAE,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,SAAO,KAAK,kBAAgB,EAAE,cAAY,MAAI,KAAG,EAAE,aAAW,MAAI,GAAE,KAAK,UAAQ,KAAK,gBAAc,GAAE,KAAK,kBAAgB,GAAE,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,GAAE,KAAK,eAAc,CAAC,CAAC,MAAI,KAAK,OAAK,MAAG,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,IAAG,KAAK,YAAU,kBAAkB,KAAK,kBAAkB,KAAK,UAAU,KAAK;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,IAAE,GAAEA,MAAE,KAAK,iBAAe,IAAE,GAAE,IAAE,KAAK,iBAAe,IAAE,GAAE,IAAE;AAAA,MAC79K,EAAE;AAAA;AAAA;AAAA,kCAG0B,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sCAOD,KAAK;AAAA,4BACf,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,4BAgFL,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAO3B,WAAO,KAAK,SAAO;AAAA,MACnB;AAAA,QACA;AAAA,MACA,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,0BAIW;AAAA;AAAA,0CAEgB,cAAcA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BA0B3B,KAAK,iBAAe,iCAA+B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAS7E;AAAC;AA/I0gJ,IA+IxgJ,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,WAAS,2HAA0H,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,aAAY,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAe,EAAE,eAAa,gBAAe,KAAK,YAAU,mBAAmB,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACrf,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBAyBK,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAetB;AAAC;AAxL0gJ,IAwLxgJ,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,WAAS;AAAA,wFACa,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,aAAY,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAiB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC/T,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuCZ;AAAC;AAjO0gJ,IAiOxgJ,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,WAAS;AAAA,4EACC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC9S,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoDZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,OAAO,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,IAAE,GAAE;AAAC,MAAI,IAAE,OAAG;AAAC,YAAO,GAAE;AAAA,MAAC,KAAK;AAAE,eAAM;AAAA,MAA0D,KAAK;AAAE,eAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MASnsB;AAAQ,cAAM,IAAI,MAAM,oBAAoB,qBAAqB;AAAA,IAAC;AAAA,EAAC,GAAE,IAAE;AAAA,UAC3E;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iBASO,GAAG,CAAC;AAAA;AAAA;AAAA,iBAGJ,GAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8DAOyC;AAAA;AAAA,eAE/C,GAAG,CAAC;AAAU,SAAM;AAAA,uDACoB,GAAG,CAAC;AAAA,wBACnC;AAAA,MAClB;AAAA;AAAA;AAAA,uDAGiD,GAAG,CAAC;AAAA,wBACnC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAShB,EAAE,CAAC;AAAA;AAAA,aAEE,GAAG,CAAC;AAAA;AAAA;AAAA,iEAGgD,GAAG,CAAC;AAAA,wBAC7C;AAAA,6CACqB,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,iEAOkB;AAAA;AAAA;AAE7D;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,6IAA4I,KAAK,cAAY,EAAE,SAAQ,EAAE,OAAO,EAAE,eAAa,gBAAe,MAAI,6BAA6B,GAAE,KAAK,SAAO,EAAE,aAAW,MAAI,KAAG,EAAE,cAAY,MAAI,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC,CAAC,EAAC,GAAE,KAAK,gBAAc,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,oBAAkB,GAAG,KAAK,gBAAe,KAAK,aAAY,KAAK,MAAM,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,KAAK,iBAAiB,GAAE,KAAK,WAAS,KAAK,kBAAgB,GAAE,KAAK,qBAAmB,CAAC,GAAE,CAAC,IAAG,KAAK,YAAU,oBAAoB,KAAK,UAAU,KAAK;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,SAAO,GAAG,KAAK,mBAAkB,KAAK,aAAa,IAAE,GAAG,KAAK,mBAAkB,KAAK,aAAa;AAAE,WAAM;AAAA,MAC15B,IAAI,KAAK,SAAO,IAAE,CAAC;AAAA,MACnB;AAAA;AAAA,EACD;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,eAAa,IAAE,EAAE,QAAQ,KAAI,EAAE,cAAY,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,UAAS,EAAE,WAAW,EAAC,CAAC,GAAE;AAAE,MAAG,EAAE,EAAE,QAAQ,mCAAmC,KAAG,EAAE,eAAa;AAAe,QAAE,IAAI,GAAG,CAAC;AAAA,OAAM;AAAC,QAAE,IAAI,GAAG,CAAC;AAAE,QAAI,IAAE,EAAE,WAAS,EAAE,SAAQ,IAAE,EAAE,YAAW,IAAE,EAAE,eAAa,EAAE,cAAY,EAAE;AAAY,MAAE,KAAK,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,qFAAoF,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAChuC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAiFT;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAG,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,eAAc,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,OAAO,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAY,IAAE,EAAE,QAAQ,OAAM,EAAE,eAAa,IAAE,EAAE,QAAQ,KAAI,EAAE,cAAY,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAW,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,SAAQ,QAAQ,GAAE,KAAK,WAAS,6BAA4B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAG,CAAC,CAAC,IAAEA;AAAE,SAAK,cAAY,CAAC,GAAE,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,MAAI,aAAW,IAAE,GAAE,KAAK,wBAAsB,KAAK,YAAY,CAAC,IAAE,GAAE,KAAK,uBAAqB,KAAK,YAAY,CAAC,IAAE,GAAE,KAAK,YAAU,iBAAiB,KAAK,YAAY,KAAK,yBAAyB,KAAK;AAAA,EAAsB;AAAA,EAAC,cAAa;AAAC,QAAG,CAAC,GAAEA,GAAC,IAAE,CAAC,mCAAkC,iCAAiC,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAK,wBAAsB,CAAC,IAAI,sCAAqC,0BAAyB,MAAM,2BAA2B,IAAE,CAAC,OAAM,OAAM,mBAAmB,GAAG,GAAE,CAAC,GAAE,GAAE,CAAC,IAAE,KAAK,uBAAqB,CAAC,IAAIA,wCAAqC,yBAAwB,MAAMA,4BAA0B,IAAE,CAAC,OAAM,OAAM,mBAAmBA,KAAG;AAAE,WAAM;AAAA,MACz6F,EAAE,OAAO;AAAA;AAAA;AAAA,iCAGkB;AAAA,gCACD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAeH;AAAA,4BACD;AAAA,qBACP;AAAA,mCACc;AAAA;AAAA;AAAA;AAAA,qBAId;AAAA,mCACcA;AAAA;AAAA;AAAA;AAAA;AAAA,aAKtB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAuBb;AAAC;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,QAAO,GAAE,oBAAmB,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAvO,IAAyO,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI;AAAA,CAAI,SAAS,GAAE;AAAC,IAAE,OAAK,KAAI,EAAE,MAAI;AAAG,GAAG,OAAK,KAAG,CAAC,EAAE;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,gBAAe,KAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,GAAE,KAAK,UAAQ,GAAE,KAAK,KAAG,GAAE,KAAK,YAAU,OAAO,KAAK,MAAM,KAAK,aAAa,KAAK;AAAA,EAAS;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,YAAY,QAAOA,MAAE,KAAK,OAAK,GAAG,OAAK,QAAM,OAAM,IAAE,KAAK,YAAUA,MAAE,QAAQ,GAAG,GAAE,UAAS,KAAK,EAAE,MAAK,IAAE,KAAK,YAAY,KAAK,YAAY,SAAO,CAAC,GAAE,IAAE,IAAG,IAAE;AAAG,WAAO,KAAK,aAAW,IAAE,KAAK,UAAQ,UAAU,IAAE,MAAI,YAAW,IAAE,KAAK,UAAQ,YAAU,cAAY,IAAE,KAAK,UAAQ,gBAAgB,MAAI,eAAc,IAAE,KAAK,UAAQ,eAAa,eAAc;AAAA,QACpkC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,qBAII,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,qBACrB;AAAA;AAAA,eAEN;AAAA,uBACQ;AAAA,aACV,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA,iBACjB,KAAK,YAAY,GAAG,GAAE,UAAS,KAAK,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKlD;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG,QAAQ,QAAQ,QAAQ;AAAM,QAAM,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAG,MAAI;AAAE,WAAM,GAAG;AAAI,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,MAAG,MAAI;AAAE,WAAM,GAAG;AAAM,QAAM,MAAM,cAAcA,gBAAc,wBAAwB;AAAC;AAAC,SAAS,GAAG,GAAE,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,MAAI,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAG,MAAI,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAE,MAAG,MAAI,IAAE;AAAE,UAAM,IAAI,MAAM,oDAAoD,EAAE,MAAM,SAAO,kBAAkB,GAAG;AAAE,MAAI,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAQ,IAAE,GAAE,KAAG,KAAK,KAAK,KAAK,KAAK,CAAC,CAAC,IAAE,GAAE,KAAI;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,OAAG,CAAC,GAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,MAAG,GAAE;AAAC,QAAI,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,QAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,MAAG,KAAG,MAAK;AAAC,QAAI,IAAE,EAAE,uBAAuB,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,MAAK,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,GAAE,SAAQ,EAAC,IAAE;AAAE,SAAO,GAAG,GAAG,KAAI,GAAEA,KAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,cAAa,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,WAAS,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,IAAE,CAAC,EAAE,MAAM,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,IAAE,CAAC,CAAC,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAE,CAAC,GAAE,CAAC,IAAE,CAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,WAAS,oBAAmB,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,gBAAgBA,OAAI,KAAK,aAAWA;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACzwE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,oBAIG,KAAK,qBAAqB;AAAA,oBAC1B,KAAK,oBAAoB;AAAA,oBACzB,KAAK,oBAAoB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAO/B,KAAK,mBAAmB;AAAA;AAAA;AAAA,sBAGhB,KAAK,uBAAuB;AAAA;AAAA;AAAA;AAAA,EAG1C;AAAA,EAAC,uBAAsB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,sBAAqB;AAAC,WAAO,KAAK,eAAa,SAAO,cAAY;AAAA,EAAW;AAAA,EAAC,qBAAoB;AAAC,WAAO,KAAK,eAAa,SAAO,yBAAuB;AAAA,EAAsB;AAAA,EAAC,yBAAwB;AAAC,WAAO,KAAK,eAAa,SAAO,8BAA4B;AAAA,EAA2B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,MAAI,SAAO,EAAE,MAAM,CAAC,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAG,IAAE,MAAI,SAAO,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,IAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,yCAAwC,KAAK,gBAAc,CAAC,IAAG,IAAG,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,UAAQ,GAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,eAAaA,KAAE,KAAK,cAAY,GAAE,KAAK,YAAU,iBAAiB,KAAK,cAAc,KAAK,gBAAgB,KAAK;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAY,KAAK,cAAaA,MAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAc,CAAC,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,eAAa,GAAE,IAAE,KAAK,cAAc,CAAC,IAAE,KAAK,cAAY;AAAE,WAAM;AAAA,QAC1mD,GAAG,KAAK,YAAW,KAAK,oBAAmB,OAAG,CAAC;AAAA;AAAA,kDAEL,OAAO;AAAA,kDACP,KAAK,iBAAiB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAUrE,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,mDAeyC,4BAA4B,KAAK,cAAc,CAAC;AAAA,qDAC9C,4BAA4B,KAAK,cAAc,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAS3F,IAAEA,MAAE,gBAAgB,OAAK,kBAAkB,wBAAwBA;AAAA;AAAA;AAAA,gCAG7C,KAAK;AAAA,gCACL,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAOL,KAAK;AAAA,kCACH,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAM7B,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKpC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,yCAAwC,KAAK,gBAAc,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,gBAAc,GAAE,KAAK,kBAAgB,GAAE,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,GAAE,KAAK,eAAc,CAAC,CAAC,GAAE,EAAE,OAAO,EAAE,eAAa,gBAAe,MAAI,6BAA6B,GAAEA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,YAAU,iBAAiB,KAAK,KAAK,SAAS,gBAAgB,KAAK,SAAS,eAAe,KAAK,SAAS,gBAAgB,KAAK,SAAS,eAAe,KAAK;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,QAAI,KAAG,KAAK,gBAAc,KAAG,KAAK,SAAS,cAAY,KAAK,SAAS,aAAYA,MAAE,KAAK,SAAS,cAAa,IAAE,KAAK,SAAS;AAAY,WAAM;AAAA,QAC16B,GAAG,KAAK,YAAW,KAAK,oBAAmB,MAAG,CAAC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAS/C,EAAE;AAAA;AAAA;AAAA,oCAG0B,KAAK;AAAA;AAAA,sDAEaA,QAAM;AAAA;AAAA;AAAA;AAAA,uCAIrB;AAAA,yCACE,KAAK;AAAA,8BAChB,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA,gCAKH,KAAK,SAAS;AAAA;AAAA;AAAA,kCAGZ;AAAA;AAAA;AAAA,oCAGE,KAAK,SAAS;AAAA;AAAA,oCAEd,KAAK;AAAA,6CACI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMf,KAAK;AAAA;AAAA;AAAA;AAAA,cAIrB,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKxC;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,MAAE,OAAG,IAAE,MAAK,IAAE,OAAG;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS;AAAA,uEAC1B,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,iBAAe,EAAE,eAAa,gBAAeA,OAAG,KAAK,cAAc,KAAK,MAAM,GAAE,KAAG,KAAK,cAAc,KAAK,wBAAwB,GAAE,KAAK,WAAS,GAAE,KAAK,UAAQA,KAAE,KAAK,aAAW,GAAE,KAAK,qBAAmB,GAAE,KAAK,YAAU,aAAa,KAAK,cAAc,KAAK;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,iBAAe,6BAA2B;AAA2B,WAAM;AAAA,QACnnB,GAAG,KAAK,YAAW,KAAK,oBAAmB,OAAG,CAAC;AAAA;AAAA,QAE/C,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,6CAI4B,KAAK,iBAAe,OAAK;AAAA,4BAC1C,KAAK,iBAAe,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+BA4BnB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,+BAoBA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAMjB,GAAG,KAAK,SAAQ,KAAK,UAAU;AAAA;AAAA;AAAA;AAAA;AAAA,EAIxC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC;AAAG,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,MAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,CAAC,GAAE,IAAE,EAAE,eAAa,gBAAe;AAAE,SAAM,CAAC,KAAG,EAAE,WAAS,MAAI,EAAE,UAAQ,MAAI,EAAE,iBAAe,KAAG,EAAE,gBAAc,KAAG,EAAE,kBAAgB,KAAG,EAAE,mBAAiB,KAAG,EAAE,eAAa,EAAE,cAAY,IAAE,IAAI,GAAG,EAAE,UAAS,EAAE,cAAa,EAAE,WAAW,IAAE,KAAG,EAAE,YAAU,KAAG,EAAE,WAAS,KAAG,EAAE,eAAa,KAAG,EAAE,eAAa,EAAE,eAAa,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,aAAW,MAAI,IAAE,IAAE,IAAI,GAAG,CAAC,KAAG,IAAE,IAAI,GAAG,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,YAAY,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,IAAGA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,IAAI,GAAE,KAAK,WAAS;AAAA,0FACv/B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,aAAY,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAkC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAChV,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkCZ;AAAC;AApCkgC,IAoChgC,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,GAAG,GAAE,KAAK,WAAS;AAAA,4DACjB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAiC;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC7S,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAyCZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAY,EAAE,UAAU,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,KAAI,GAAE,iBAAgB,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,eAAa,IAAE,EAAE,QAAQ,KAAI,EAAE,cAAY,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAY,EAAE,UAAU,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,GAAE,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC1/C,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,CAAC,GAAG,EAAE,OAAM,GAAG,EAAE,KAAK,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,GAAG,GAAE,KAAK,WAAS,oFAAmF,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,UAAS,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SAC1uB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA+BZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,GAAG,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,QAAG,KAAK,gBAAc,CAAC,KAAI,KAAI,IAAI,GAAE,KAAK,WAAS,kGAAiG,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,EAAE,QAAQ,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,EAAE,UAAS,KAAK,aAAa,GAAEA,QAAI,aAAWA,QAAI;AAAQ,YAAM,IAAI,MAAM;AAAA,oCACz1BA,WAAS;AAAE,SAAK,OAAKA,KAAE,KAAK,YAAU;AAAA,EAAyB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SAC/G,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,aAuCL,GAAG,wBAAuB,SAAQ,KAAK,IAAI;AAAA;AAAA;AAAA;AAAA,EAGlD;AAAC;AA5C8e,IA4C5e,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,gBAAc,CAAC,KAAI,KAAI,IAAI,GAAE,KAAK,WAAS,kGAAiG,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,cAAY,EAAE,aAAY,KAAK,iBAAe,EAAE,EAAE,QAAQ,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,EAAE,UAAS,KAAK,aAAa,GAAE,MAAI,aAAW,MAAI;AAAQ,YAAM,IAAI,MAAM;AAAA,oCAC/W,SAAS;AAAE,SAAK,OAAK,GAAE,KAAK,YAAU;AAAA,EAA0B;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,SAChH,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,aAsCL,GAAG,wBAAuB,SAAQ,KAAK,IAAI;AAAA;AAAA;AAAA;AAAA,EAGlD;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAc,EAAE,QAAQ,CAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,sBAAsB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,QAAO,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAc,EAAE,QAAQ,CAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,SAAQ,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,UAAS,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,SAAQ,GAAE,YAAW,GAAE,QAAO,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,MAAM;AAAE,IAAE,oBAAoB,EAAE,QAAO,GAAE,CAAC;AAAE,MAAG,EAAC,MAAK,GAAE,OAAM,EAAC,IAAE,EAAE,qBAAqB,GAAE,CAAC,GAAE,IAAE,EAAE,QAAO,IAAE,MAAK,IAAE,EAAE,QAAO,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,EAAE,GAAE;AAAC,aAAQ,KAAK,EAAE,CAAC,GAAE;AAAC,UAAG,EAAC,oBAAmB,GAAE,YAAW,EAAC,IAAE,EAAE,qBAAqB,GAAE,EAAE,CAAC,CAAC,GAAE;AAAE,QAAE,sBAAsB,CAAC,IAAE,IAAE,EAAE,CAAC,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAG,UAAI,IAAE,EAAE,MAAM,MAAM;AAAE,eAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,EAAE;AAAE,UAAE,OAAO,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,QAAE,YAAY,EAAE,OAAM,CAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG,MAAI,OAAK,IAAE,KAAG,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,EAAE,KAAK,CAAC;AAAA,IAAE;AAAC,QAAE,IAAE,MAAI,EAAE,CAAC,KAAG,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAE,CAAC,KAAG,EAAE,SAAO,IAAG,UAAS,MAAE,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,IAAG;AAAA,EAAI;AAAC,WAAQ,KAAK;AAAE,UAAI,KAAGA,IAAE,YAAY,EAAE,MAAM;AAAE,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,IAAG,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,GAAG,SAAQ,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAC;AAAlI,IAAoI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,OAAM,OAAM,QAAO,eAAc,GAAE,CAAC;AAA1D,IAA4D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,IAAG,OAAM,UAAS,CAAC;AAA1D,IAA4D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,OAAMA,KAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAEA,KAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,MAAM,GAAE,IAAE;AAAE,SAAO,IAAE,MAAI,EAAE,OAAO,EAAE,IAAE,MAAI,GAAE,MAAI,iCAAiC,EAAE,IAAE,OAAO,IAAI,GAAE,IAAE,IAAE,IAAE,IAAG,EAAE,OAAO,GAAE,GAAE,CAAC,GAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQ,GAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,QAAO,MAAM,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,+CAA8C,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,GAAE,KAAK,YAAU,OAAO;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA,QAEvsH,KAAK,cAAY,SAAO,sCAAoC;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAyB9D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMZ;AAAC;AAAE,SAAS,GAAG,GAAE,GAAEA,KAAE;AAAC,MAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,EAAE,MAAM,EAAE,MAAM,SAAO,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,IAAI,GAAG,QAAO,CAAC,GAAE,IAAE,IAAI,GAAG,QAAO,CAAC,GAAE,IAAE,CAAC,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,GAAE,EAAC,QAAO,EAAE,mBAAmB,KAAK,QAAO,OAAM,EAAE,mBAAmB,KAAK,OAAM,OAAM,EAAC,CAAC,GAAE,IAAE,IAAE,IAAE,KAAK,KAAG,KAAG,KAAK,IAAG,IAAE,IAAE,EAAE,CAAC,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAEA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,OAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAe;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACnqC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,OAAMA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,KAAK;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,SAAQ,eAAc,IAAG,OAAM,QAAO,CAAC;AAA7D,IAA+D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,IAAE,OAAG;AAAC,SAAK,eAAa,MAAG,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAACA,KAAE,GAAE,CAAC,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,YAAU,cAAc,KAAK;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,cAAY,4CAA0C;AAA4C,WAAM;AAAA,uCAC3yB,KAAK,cAAY,qBAAmB;AAAA,QACnE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA,yBAIQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAMtB;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAzD,IAA2D;AAA3D,IAA8D,KAAG,EAAE,EAAE,QAAQ,uCAAuC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE;AAAE,MAAG,KAAG;AAAK,UAAM,IAAI,MAAM,0DAA0D;AAAE,MAAI,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,oBAAkB,eAAa,aAAa,kBAAiB,IAAE,OAAO,qBAAmB,eAAa,aAAa,qBAAmB,OAAO,mBAAiB,eAAa,aAAa,iBAAgB,IAAE,OAAO,eAAa,eAAa,aAAa,aAAY,CAAC,GAAE,CAAC,IAAE,IAAE,CAAC,EAAE,YAAW,EAAE,WAAW,IAAE,CAAC,EAAE,OAAM,EAAE,MAAM,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,OAAG,IAAE,KAAG;AAAE,MAAG,KAAG,KAAG,GAAE;AAAC,QAAI;AAAE,QAAG;AAAE,UAAE,EAAC,OAAM,GAAE,QAAO,GAAE,QAAO,MAAK,OAAM,MAAK,SAAQA,IAAE,OAAO,sBAAsB,EAAC,QAAO,EAAC,CAAC,EAAC;AAAA,SAAM;AAAC,UAAG,GAAE;AAAC,YAAI,IAAE,EAAE,EAAE,QAAQ,uCAAuC;AAAE,SAAC,MAAI,QAAM,MAAI,QAAM,KAAG,GAAE,KAAG,SAAS,cAAc,QAAQ,EAAE,WAAW,MAAK,EAAC,oBAAmB,GAAE,CAAC,IAAG,GAAG,OAAO,QAAM,GAAE,GAAG,OAAO,SAAO,GAAE,GAAG,UAAU,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG;AAAA,MAAM;AAAC,UAAI,IAAE,gBAAgB,WAAS,gBAAgB,oBAAkB,gBAAgB,iBAAgB,IAAE,cAAa,IAAEA,IAAE,eAAe,eAAe,EAAE,CAAC,GAAE,EAAE,CAAC,GAAE,GAAE,CAAC;AAAE,MAAAA,IAAE,MAAM,2BAA2B,EAAC,QAAO,EAAC,GAAE,EAAC,SAAQ,EAAC,GAAE,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,CAAC,GAAE,IAAE,EAAC,OAAM,GAAE,QAAO,GAAE,QAAO,GAAE,OAAM,GAAE,SAAQ,EAAC;AAAA,IAAC;AAAC,QAAI,IAAE,EAAE,cAAc,CAAC,GAAE,IAAE,EAAE,eAAe,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,UAAS,MAAK,CAAC,GAAG,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,eAAe,CAAC,GAAE,CAAC,GAAE,OAAO,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM;AAAE,MAAE,eAAa;AAAE,QAAI,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAC,MAAI,IAAE,EAAE,MAAK,IAAE;AAAE,MAAG,KAAG,QAAM,MAAI,GAAE;AAAC,QAAE,IAAI,WAAW,EAAE,QAAM,EAAE,SAAO,CAAC;AAAE,QAAI,IAAE,EAAE,QAAO,IAAE;AAAE,aAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAE,IAAE,MAAI,EAAE,GAAG,IAAE,EAAE,CAAC;AAAA,EAAE;AAAC,MAAI,IAAEA,IAAE,eAAe,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE;AAAC,SAAK,WAAS,0BAAyB,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,gBAAc,CAAC,KAAI,QAAO,UAAU,GAAE,EAAE,2BAA2B,GAAEA,GAAC,GAAE,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,QAAQ,IAAG,KAAG,SAAO,EAAE,2BAA2B,GAAE,CAAC,GAAE,KAAK,cAAc,KAAK,OAAO,IAAG,KAAK,cAAY,GAAE,KAAK,aAAW,GAAE,KAAK,YAAU;AAAA,EAAW;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE;AAAM,SAAK,eAAa,SAAO,IAAE;AAAiC,QAAIA,MAAE;AAAM,WAAO,KAAK,cAAY,SAAOA,MAAE,iCAAgC;AAAA,QACnjF,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMa;AAAA,6BACDA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAK1B;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,GAAE,OAAM,GAAE,QAAO,GAAE,MAAK,GAAE,UAAS,EAAC,IAAE,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE;AAAK,OAAG,SAAO,IAAE,EAAE,OAAM,EAAE,KAAK,CAAC;AAAG,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,OAAM,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE,EAAE,wBAAwB,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,OAAG,CAAC;AAAE,SAAO,GAAG,EAAC,GAAE,GAAE,QAAO,GAAE,UAAS,GAAE,SAAQA,KAAE,MAAK,GAAE,wBAAuB,GAAE,gBAAe,GAAE,YAAW,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,GAAE,MAAK,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,KAAI,GAAE,WAAU,GAAE,iBAAgB,GAAE,YAAW,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,CAAC,GAAE,CAAC,IAAG,EAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,gFAAgF,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,IAAE,GAAE,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,KAAG,MAAK,IAAE,KAAG;AAAK,OAAG,EAAE,KAAK,CAAC,GAAE,KAAG,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,CAAC,GAAE;AAAE,SAAO,EAAE,YAAU,KAAG,EAAE,WAAS,KAAG,EAAE,eAAa,KAAG,EAAE,eAAa,EAAE,eAAa,EAAE,mBAAiB,KAAG,EAAE,kBAAgB,KAAG,EAAE,aAAW,MAAI,IAAE,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,KAAG,IAAE,IAAI,GAAG,GAAE,GAAE,GAAE,CAAC,GAAE,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,YAAY,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,CAAC,IAAG,MAAI,gBAAc,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,EAAE,YAAU,kBAAiBA,IAAE,iBAAiB,GAAE,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU,YAAY,KAAI,KAAK,WAAS,GAAE,KAAK,WAAS,6BAA6B,GAAG,CAAC;AAAA,EAAI;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,WAAO,KAAK,WAAS,IAAE,IAAE,wBAAsB,IAAE,oBAAmB;AAAA,QAC5yE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8BAMa;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOvB;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,mBAAmB,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,KAAK,IAAE,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,KAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,EAAE,OAAM,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,MAAM,GAAE,KAAK,SAAO,GAAE,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAI,KAAK,MAAM;AAAE,WAAM;AAAA,QACjlC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA,oDAKmC;AAAA;AAAA;AAAA;AAAA,EAG/C;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAEA,MAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,UAAI,IAAEA,IAAE,KAAK,QAAQ,IAAEA,IAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,SAAOA,IAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,WAAU,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,aAAa,yBAAyB,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,EAAE,WAAU,EAAE,SAAQ,EAAE,SAAS,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,WAAU,IAAE,EAAE,SAAS,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC;AAAE,MAAI,IAAE,CAAC,EAAE,WAAU,EAAE,WAAU,IAAE,EAAE,WAAU,EAAE,SAAS;AAAE,MAAGA,IAAE,mBAAmB,CAAC,GAAE,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,EAAE,QAAO,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,CAAC;AAAE,WAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAEA,IAAE,eAAe,EAAE,aAAY,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,KAAK;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,YAAW,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,SAAQ,eAAc,IAAG,OAAM,OAAM,CAAC;AAA5D,IAA8D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,eAAc,OAAM,QAAO,eAAc,GAAE,CAAC;AAAlE,IAAoE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,MAAGA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,WAAU,OAAM,OAAM,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,OAAM,OAAM,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,OAAM,OAAM,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,WAAU,cAAc;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,MAAK,OAAM,QAAO,eAAc,GAAE,CAAC;AAAzD,IAA2D,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,YAAW,OAAM,QAAO,eAAc,GAAE,CAAC;AAA/D,IAAiE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,4BAA2B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAU;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC1hF,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,KAAI,EAAC,IAAEA,KAAE,KAAG,IAAE,MAAI,IAAE,IAAG,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,eAAc,GAAE,CAAC;AAA1C,IAA4C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,aAAY,OAAM,OAAM,CAAC;AAA/C,IAAiD,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,YAAW,CAAC;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,WAAU,CAAC;AAAjC,IAAmC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAP,IAUptB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,sDAAqD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAK;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC1V,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAiBL;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAKP;AAAC;AAjCktB,IAiChtB,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,sDAAqD,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,iBAAe,IAAG,EAAE,OAAOA,OAAG,KAAK,gBAAe,MAAI,wCAAwC,KAAK,qCAAqCA,KAAG,GAAE,KAAK,cAAY,GAAE,KAAK,uBAAqB,KAAK,cAAc,CAAC,IAAE,IAAE,KAAK,gBAAe,KAAK,iBAAe,EAAC,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC,GAAE,CAAC,EAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,CAAC,KAAK,sBAAqB,KAAK,cAAc,CAAC,GAAE,KAAK,cAAc,CAAC,CAAC,CAAC,GAAE,KAAK,YAAU;AAAA,EAAY;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,wCACxkB,KAAK,cAAc,CAAC;AAAA,mCACzB,KAAK;AAAA,6BACX,KAAK;AAAA;AAAA,MAE5B,EAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,UAuBE;AAAA;AAAA;AAAA;AAAA;AAAA,EAIH;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE;AAAE,MAAE,KAAG,IAAE,IAAI,GAAG,EAAE,KAAK,IAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,cAAa,eAAc,IAAI,GAAE,KAAK,WAAS,2DAA0D,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAU;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MAC/uB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAiDZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,GAAE,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,aAAY,GAAE,MAAK,GAAE,OAAM,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,GAAG,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,YAAW,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAQ,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,WAAS;AAAA,yCAC5wC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC5Q,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA2CZ;AAAC;AA7CiuC,IA6C/tC,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,MAAK,QAAQ,GAAE,KAAK,WAAS;AAAA,wDAC1B,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,EAAE,SAAQ,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAmB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC3R,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAwDZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,CAAC,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,OAAM,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAQ,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,aAAY,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAqB,IAAE,EAAE,QAAQ,OAAM,EAAE,wBAAsB,IAAE,EAAE,QAAQ,KAAI,EAAE,uBAAqB,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,sBAAqB,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,IAAG,GAAE,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE;AAAE,KAAG,CAAC,GAAE,CAAC,GAAE,aAAa;AAAE,MAAG,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,iBAAgB,EAAC,IAAE,GAAE,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC;AAAE,MAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,wBAAsB,IAAE,EAAE,QAAQ,KAAI,EAAE,uBAAqB,IAAE,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,SAAS,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,EAAC,CAAC;AAAE,MAAI,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,SAAQ,GAAE,KAAI,GAAE,qBAAoB,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,WAAS,GAAE,MAAI,uDAAuD,EAAE,MAAM,SAAS;AAAE,MAAI,IAAE,CAAC,GAAE,CAAC;AAAE,IAAE,OAAO,EAAE,+BAA+B,GAAE,CAAC,GAAE,MAAI,wEAAwE,oBAAoB,IAAI;AAAE,MAAI,IAAE,EAAE,kBAAkB,EAAE,OAAM,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAa,EAAE,WAAW,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,QAAQ,KAAI,EAAE,QAAQ,IAAI,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,gBAAe,EAAE,aAAa,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,UAAS,EAAE,OAAO,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,uBAAsB,EAAE,oBAAoB,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,OAAM,KAAE,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,MAAE,IAAI,GAAG,GAAE,OAAM,MAAG,MAAG,CAAC;AAAE,MAAI,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAM,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,OAAMA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,GAAE,CAAC;AAA3C,IAA6C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,WAAS,IAAG,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,SAAO,GAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,WAAK,YAAU,OAAO;AAAA,IAAgB,CAAC,GAAE,KAAK,SAAO,MAAI,YAAU,IAAE,GAAE,KAAK,YAAU,aAAa;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,OAAO,QAAOA,MAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,MAAM,EAAE,KAAK,GAAG,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,yBAAyB,IAAE,IAAE,IAAI,OAAK,IAAI,EAAE,KAAK,GAAG,GAAE,IAAE,MAAI,IAAE,UAAQ,YAAW,IAAE,MAAI,IAAE,QAAM,UAAS,IAAE,MAAI,IAAE,SAAO,WAAU,IAAE,GAAG,CAAC,GAAE,IAAE,IAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,IAAE;AAAS,WAAM;AAAA,QAC36H,EAAE,OAAO;AAAA;AAAA,wBAEO,KAAKA;AAAA,sBACP,KAAK;AAAA;AAAA,gCAEK;AAAA,kBACd,OAAO;AAAA,gBACT,OAAO,WAAW,OAAO,KAAK;AAAA,wBACtB,QAAQ;AAAA,gBAChB,QAAQ,gBAAgB,OAAO,KAAK;AAAA;AAAA;AAAA;AAAA,yCAIX;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,MAAK,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,EAAE,IAAI,QAAI,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,EAAC,EAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,OAAO,GAAE,KAAK,cAAY,CAAC,GAAE,KAAK,WAAS,iCAAgC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAa;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,MAWjqB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAsBZ;AAAC;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,QAAQ,GAAE,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,CAAC,KAAK,YAAY,CAAC,GAAE,GAAE,CAAC,GAAE,KAAK,YAAY,CAAC,KAAG,OAAK,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,IAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,YAAU;AAAA,EAAS;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,sCAC7P,KAAK,cAAc,CAAC;AAAA;AAAA;AAAA,wBAGlC,KAAK,cAAc,CAAC;AAAA,MACtC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAsDV;AAAC;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,KAAI,EAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,EAAE,cAAc,EAAE,KAAK,IAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,KAAK,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAE,IAAE,IAAE,GAAG,EAAC,QAAO,EAAC,QAAO,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAE,MAAM,SAAO,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,SAAQ,CAAC;AAAE,SAAO,KAAGA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,UAAU,IAAI,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,EAAE,QAAO,EAAE,OAAM,EAAE,KAAK;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,GAAG;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,UAAQ,KAAK,gGAAgG;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,EAAC,iBAAgB,EAAC,IAAE,GAAG,wBAAwB,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,UAAQ,KAAK,gGAAgG;AAAE,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,gBAAe,GAAE,cAAa,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,IAAE,GAAE,EAAC,iBAAgB,GAAE,gBAAe,EAAC,IAAE,GAAG,wBAAwB,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,SAAQ,IAAI,WAAW,CAAC,CAAC,GAAEA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,WAAU,IAAI,aAAa,CAAC,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,kCAAiC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,GAAEA,GAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC/4E,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,OAAM,GAAE,SAAQ,GAAE,UAAS,EAAC,IAAE,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,IAAI,GAAG,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,GAAE,CAAC;AAAE,EAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,MAAI,IAAE,CAAC,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAE,UAAQ,WAAS,KAAG,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE;AAAE,MAAG,EAAE,UAAQ;AAAS,UAAM,IAAI,MAAM,8CAA8C;AAAE,MAAG,EAAE,UAAQ,aAAY;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,MAAK,GAAE,MAAK,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,WAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAA,EAAC;AAAM,WAAO,GAAG,EAAC,OAAM,EAAC,OAAM,EAAE,OAAM,OAAM,EAAE,OAAM,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAG,EAAE,WAAS;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,OAAM,EAAE,CAAC,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,CAAC,EAAE,OAAM,IAAE,EAAE,CAAC,EAAE;AAAM,IAAE,QAAQ,OAAG;AAAC,MAAE,kBAAkB,GAAE,EAAE,OAAM,uDAAuD,GAAE,EAAE,OAAO,MAAI,EAAE,OAAM,MAAI,uDAAuD;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,OAAM,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,KAAI,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,KAAK,CAAC,GAAE;AAAA,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,wBAAuB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,IAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAEA,IAAE,IAAI,CAAC,GAAE,MAAI;AAAC,WAAK,YAAU,OAAO;AAAA,IAAgB,CAAC,GAAE,KAAK,SAAO,GAAE,KAAK,YAAU;AAAA,EAAK;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,OAAO,QAAOA,MAAE,GAAG,CAAC,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,MAAM,EAAE,KAAK,GAAG,GAAE,IAAE,KAAK,OAAO,IAAI,CAAC,GAAE,MAAI,eAAe,yBAAyB,IAAE,IAAE,IAAI,OAAK,IAAI,EAAE,KAAK,GAAG,GAAE,IAAE,IAAE,IAAE,GAAGA,OAAK,OAAK,GAAG,KAAI,IAAE,IAAE,IAAE,GAAGA,OAAK,OAAK,GAAG,KAAI,IAAE,IAAE,IAAE,sBAAoB,gBAAe,IAAE,IAAE,IAAE,qBAAmB,eAAc,IAAE,IAAE,IAAE,CAAC,aAAY,aAAY,aAAY,WAAW,EAAE,MAAM,GAAE,CAAC,IAAE;AAAS,WAAM;AAAA,QACx3F,EAAE,OAAO;AAAA;AAAA,wBAEO;AAAA,sBACF;AAAA;AAAA;AAAA,gBAGN,QAAQ;AAAA;AAAA;AAAA;AAAA,2CAImB;AAAA;AAAA;AAAA;AAAA;AAAA,EAItC;AAAC;AAAE,IAAI,KAAG,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,UAAS,GAAE,eAAc,EAAC,IAAE;AAAE,MAAG,EAAE,MAAM,OAAG,EAAE,YAAY,GAAE,CAAC,GAAE,CAAC,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAG,EAAE,cAAc,EAAE,KAAK,MAAI,GAAE;AAAC,QAAI,IAAE,EAAE,IAAI,CAAC,GAAE,MAAI,EAAE,CAAC,IAAE,EAAE,MAAM,CAAC,IAAE,EAAE,CAAC,CAAC;AAAE,WAAO,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAE,MAAK,EAAC,CAAC;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,IAAE,IAAI,OAAG,EAAE,KAAK,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,CAAC,GAAE,EAAE,CAAC,CAAC,EAAC,CAAC,CAAC;AAAE,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAA3b,IAA6b,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,GAAE,GAAE,OAAM,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,GAAG,OAAM,EAAE,OAAM,EAAE,KAAK;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAS;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,UAAS,EAAC,IAAE;AAAE,SAAO,GAAG,GAAE,GAAE,GAAE,QAAOA,GAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,SAAQ,GAAE,OAAMA,IAAC,IAAE,GAAE,EAAC,OAAM,GAAE,MAAK,GAAE,MAAK,GAAE,OAAM,EAAC,IAAEA,KAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,SAAO,EAAE,eAAe,CAAC,EAAE,MAAM,GAAE,GAAE,CAAC;AAAC;AAA5H,IAA8H,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,IAAG,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,WAAU,CAAC;AAAhC,IAAkC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,0DAAyD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,EAAE,CAAC,GAAEA,KAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAgB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACvyD,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA0CZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,MAAK,GAAE,kBAAiB,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,MAAG,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,WAAS;AAAA,qFACrU,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,eAAaA,KAAE,KAAK,YAAU,0BAA0BA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QAC9U,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAyEZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,WAAS,mDAAkD,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,CAAC,EAAE,CAAC,GAAEA,KAAE,GAAE,EAAE,CAAC,CAAC,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,mBAAiB,GAAE,KAAK,YAAU,iBAAiB;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,QAAI;AAAE,WAAO,KAAK,mBAAiB,IAAE,4FAA0F,IAAE,mDAAkD;AAAA,QAChnC,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oCAmBmB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAW/B;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,EAAC,IAAE,GAAE,EAAC,cAAa,GAAE,kBAAiB,GAAE,MAAK,EAAC,IAAE,GAAE,CAAC,GAAE,CAAC,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,KAAG,IAAE,IAAE,IAAE,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,GAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,IAAE,MAAG,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,GAAE,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,IAAI,GAAE,KAAK,WAAS;AAAA,0CAChX,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,eAAaA,KAAE,KAAK,YAAU,gCAAgCA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,QACzS,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,oBA0CG,KAAK,eAAa,+BAA6B;AAAA;AAAA;AAAA;AAAA,oBAI/C,KAAK,eAAa,+BAA6B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAY9D;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,IAAG,EAAC,IAAE,GAAE,EAAC,cAAa,EAAC,IAAE,GAAE,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,EAAC,GAAE,CAAC,IAAE,EAAE,OAAM,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,CAAC,KAAG,IAAE,IAAE,IAAE,IAAE,GAAE,KAAG,IAAE,IAAE,IAAE,IAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,EAAE,CAAC,IAAE,EAAE,CAAC,GAAE,IAAE,IAAE,GAAE,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,KAAK,KAAK,CAAC,IAAE,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,sBAAqB,KAAK,YAAU;AAAA,EAAS;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAsB3zB,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM;AAAO,MAAG,MAAI;AAAE,WAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,CAAC,GAAE,MAAI;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAE,IAAE,QAAQ,OAAG;AAAC,QAAI,IAAE,IAAE,IAAE;AAAE,MAAE,CAAC,IAAE;AAAA,EAAC,CAAC;AAAE,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,EAAAA,IAAE,YAAY,EAAE,MAAM;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS;AAAA,8BAC5yB,KAAK,YAAU,UAAS,KAAK,cAAY,GAAE,OAAOA,OAAG,YAAU,KAAK,YAAU,qBAAoB,KAAK,cAAY,yCAAwC,KAAK,aAAW,aAAW,KAAK,YAAU,2BAA0B,KAAK,cAAY,oDAAmD,KAAK,aAAW;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UACnW,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,cAWL,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQZ;AAAC;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,MAAI;AAAC,MAAG,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,WAAU,GAAE,QAAO,EAAC,IAAE,GAAE,IAAEA,KAAE,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC,GAAE,CAAC,GAAE,CAAC,IAAE,EAAE,eAAe,GAAE,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,KAAK,IAAI,CAAC,CAAC,EAAC,CAAC;AAAE,SAAO,OAAO,KAAG,WAAS,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,WAAW,EAAE,QAAQ,CAAC,CAAC,CAAC,EAAC,CAAC,IAAE,EAAE,KAAK,EAAC,MAAK,WAAU,MAAK,EAAC,CAAC,GAAE,EAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,MAAK,CAAC;AAA3B,IAA6B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,OAAM,eAAc,GAAE,CAAC;AAA5C,IAA8C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE,GAAE,GAAE,GAAE,GAAE,IAAE,MAAG;AAAC,SAAK,gBAAc,CAAC,WAAU,SAAS,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,cAAY,GAAE,KAAK,OAAK,GAAE,KAAK,iBAAe,GAAE,KAAK,iBAAe,EAAE,CAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,GAAE,KAAK,aAAa,GAAE,KAAK,yBAAuBA,MAAE,GAAE,KAAK,YAAU,WAAW,KAAK,KAAK,KAAK,0BAA0B,KAAK;AAAI,QAAI,IAAE,GAAG,EAAE,MAAM;AAAE,SAAK,WAAS,4BAA4B,wBAAuB,KAAK,cAAY,GAAE,KAAK,cAAY;AAAA,EAAC;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE;AAAG,SAAK,gBAAc,IAAE,IAAE,cAAY,KAAK,gBAAc,MAAI,IAAE;AAAgB,QAAIA,MAAE,cAAc,MAAK,IAAE,KAAK,yBAAuB,wBAAsB,oBAAmB,IAAE,IAAG,IAAE;AAAG,SAAK,eAAe,EAAE,WAAS,KAAG,IAAE,kBAAiB,IAAE;AAAA;AAAA;AAAA;AAAA,WAI95C,KAAK,eAAe,EAAE,WAAS,MAAI,IAAE,wCAAuC,IAAE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAW9E,QAAI,IAAE,cAAc,MAAM,KAAK,EAAC,QAAO,KAAK,YAAW,GAAE,CAAC,GAAE,MAAI,UAAU,IAAI,EAAE,KAAK,IAAI;AAAK,WAAM;AAAA,MACvG;AAAA,QACE,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA,0CAKyBA;AAAA,8DACoB;AAAA;AAAA;AAAA,gBAG9C,GAAG,KAAK,IAAI,KAAK;AAAA,qDACoB;AAAA;AAAA,YAEzC,KAAK,iBAAe,GAAG,sBAAqB,eAAc,KAAK,IAAI,IAAE;AAAA;AAAA;AAAA,EAEzE;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,KAAK;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,EAAE,KAAK,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,kBAAiB,QAAQ,GAAE,KAAK,WAAS,oBAAmB,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,OAAKA,KAAE,KAAK,YAAU,iBAAiBA;AAAA,EAAG;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,8CAMrlC,KAAK,SAAO,SAAO,MAAI;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,QAS7D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,gBAAe,GAAE,QAAO,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,CAAC,EAAE,MAAM,CAAC,GAAE,EAAE,MAAM,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,MAAM,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,SAAQ,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,KAAI,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,QAAM,GAAE,KAAK,OAAK,GAAE,KAAK,YAAU;AAAA,EAAQ;AAAA,EAAC,cAAa;AAAC,QAAI,GAAEA;AAAE,QAAG,KAAK,OAAK;AAAE,YAAM,MAAM,kBAAkB,KAAK,2BAA2B;AAAE,QAAG,KAAK,SAAO;AAAE,MAAAA,MAAE,SAAQ,IAAE;AAAA,SAAY;AAAC,UAAI,IAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC,GAAE,IAAE,CAAC;AAAE,eAAQ,IAAE,GAAE,IAAE,KAAK,YAAY,QAAO;AAAI,UAAE,KAAK,GAAG,EAAE,CAAC,GAAG,GAAE,IAAE,KAAK,SAAO,EAAE,KAAK,GAAG,EAAE,CAAC,GAAG;AAAE,UAAE,EAAE,KAAK,GAAEA,MAAE,EAAE,KAAK;AAAA,IAAC;AAAC,WAAM;AAAA,QAC52B,EAAE,OAAO;AAAA;AAAA;AAAA,4BAGW;AAAA;AAAA,2CAEeA;AAAA;AAAA,2CAEAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAItC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,IAAC,IAAE,GAAE,EAAC,WAAU,GAAE,GAAE,GAAE,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,MAAM,QAAO,EAAE,OAAM,EAAE,MAAM,MAAM;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,GAAE,CAAC,GAAE,GAAG,EAAE,OAAM,EAAE,KAAK,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,QAAO,CAAC;AAA7B,IAA+B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,SAAQ,CAAC;AAA9B,IAAgC,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,OAAG;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,YAAW,GAAE,UAAS,EAAC,IAAE;AAAE,IAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,uEAAuE;AAAE,MAAI,IAAE,EAAE,OAAO,CAAC,GAAE,MAAI,IAAE,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,CAAC,CAAC;AAAE,IAAE,KAAK,GAAG,CAAC;AAAE,WAAQ,IAAE,IAAE,EAAE,QAAO,IAAE,EAAE,MAAM,QAAO,EAAE;AAAE,MAAE,KAAK,CAAC,GAAE,CAAC,CAAC;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,UAAS,GAAE,eAAc,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,YAAY,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,EAAE,YAAY,EAAE,QAAO,EAAE,QAAO,KAAE,GAAE,IAAE,EAAE,oBAAoB,EAAE,OAAM,GAAE,GAAE,KAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAO,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAArrB,IAAurB,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK;AAAG,QAAI,IAAE,IAAI,MAAM,EAAE,MAAM;AAAE,aAAQ,IAAE,GAAE,IAAE,EAAE,QAAO;AAAI,QAAE,CAAC,IAAE,EAAE,CAAC,IAAEA,IAAE,CAAC;AAAE,SAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,OAAK,KAAK,YAAY,QAAO,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,IAAI,KAAK,MAAK,WAAW;AAAE,WAAM;AAAA,QACj2D,EAAE,OAAO;AAAA;AAAA;AAAA,yCAGwB;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,SAAS,IAAI,GAAE,IAAE,IAAG;AAAC,MAAG,KAAG;AAAE,UAAM,MAAM,iBAAiB,wBAAwB;AAAE,MAAG,MAAI;AAAE,WAAM,YAAY;AAAW,MAAIA,MAAE,CAAC,WAAU,WAAU,WAAU,SAAS,GAAE,IAAE,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,MAAE,KAAK,IAAIA,IAAE,CAAC,OAAO,WAAW,KAAK;AAAE,SAAO,EAAE,KAAK;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,KAAG,EAAE,UAAQ,YAAU,EAAE,MAAM,UAAQ,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,EAAE,UAAQ,WAAS,EAAE,IAAI,OAAG,EAAE,aAAa,CAAC,CAAC,IAAE,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,IAAI,GAAG,EAAE,OAAM,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,KAAK;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,GAAE;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,cAAa,GAAE,cAAa,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE;AAAG,MAAG,EAAE,UAAQ,UAAS;AAAC,QAAI,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAEA,IAAE,WAAW,CAAC,GAAE,IAAE,EAAE,aAAaA,IAAE,SAAS,EAAE,MAAM,EAAE,CAAC,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,WAAOA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC;AAAC,MAAI,IAAE,CAAC,IAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,MAAM,SAAO,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,EAAE,OAAM,IAAEA,IAAE,eAAe,CAAC,GAAE,GAAE,EAAE,oBAAoB,GAAE,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,MAAM,EAAE,MAAM,EAAE,KAAK,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,UAAO,GAAE;AAAA,IAAC,KAAK;AAAE;AAAA,IAAM,KAAK;AAAE;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC;AAAA,IAAM;AAAQ;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAC;AAAC,YAAI,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,CAAC;AAAE,QAAAA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC;AAAA,MAAC;AAAA,EAAC;AAAC,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAEA,IAAE,YAAY,EAAE,MAAM,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,iBAAgB,GAAE,MAAK,EAAC,IAAE,GAAE,IAAE,EAAE,eAAe,GAAE,EAAE,KAAK,EAAE,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,GAAE,CAAC,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,SAAO,EAAE,IAAI,OAAG;AAAC,QAAI,IAAE,CAAC,GAAG,CAAC;AAAE,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,WAAO,EAAE,CAAC,KAAG,GAAE;AAAA,EAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,CAAC,EAAC,QAAO,GAAE,SAAQ,EAAC,MAAI;AAAC,MAAG,EAAC,GAAEA,IAAC,IAAE,GAAE,IAAE,GAAE,IAAE,IAAI,GAAGA,IAAE,OAAM,EAAE,MAAM;AAAE,SAAO,EAAE,iBAAiB,GAAE,CAACA,GAAC,GAAEA,IAAE,KAAK;AAAC,EAAC;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,mBAAkB,CAAC;AAAzC,IAA2C,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,EAAC,QAAO,GAAE,OAAM,GAAE,SAAQA,IAAC,GAAE;AAAC,MAAG,EAAC,GAAE,EAAC,IAAE,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,EAAE,MAAK,kBAAkB,GAAE,IAAE,CAAC,EAAC,MAAK,WAAU,MAAK,CAAC,EAAE,KAAK,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,GAAG,GAAE,KAAK,gBAAc,GAAE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,eAAc,CAAC,KAAK,eAAc,GAAE,CAAC,CAAC;AAAE,QAAIA,MAAE,GAAG,KAAK,YAAY,MAAM;AAAE,SAAK,WAAS,WAAWA,mBAAiBA,SAAM,KAAK,YAAU;AAAA,EAAc;AAAA,EAAC,cAAa;AAAC,QAAI,IAAE,KAAK,YAAY,QAAOA,MAAE;AAAG,QAAG,MAAI;AAAE,MAAAA,MAAE;AAAA,SAAiD;AAAC,UAAI,IAAE;AAAE,MAAAA,MAAE,KAAK,YAAY,IAAI,CAAC,GAAE,OAAK,KAAI,KAAK,YAAY,WAAS,IAAE,6BAA6B,uBAAuB,OAAK,UAAU,IAAE,yBAAyB,uBAAuB,KAAK,EAAE,KAAK,GAAG;AAAA,IAAC;AAAC,WAAM;AAAA,SAC5oH,EAAE,OAAO;AAAA;AAAA;AAAA,0CAGwBA;AAAA;AAAA;AAAA;AAAA,EAGpC;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,KAAI,GAAE,SAAQ,GAAE,WAAU,GAAE,SAAQ,GAAE,cAAa,GAAE,aAAY,GAAE,gBAAe,EAAC,IAAE,GAAE,EAAC,kBAAiB,GAAE,YAAW,GAAE,YAAW,GAAE,WAAU,GAAE,eAAc,GAAE,OAAM,GAAE,KAAI,GAAE,SAAQ,EAAC,IAAE,GAAG,UAAU,EAAE,OAAM,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC,GAAE;AAAE,MAAG;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAA,WAAU,KAAG,GAAE;AAAC,MAAE,OAAO,EAAE,MAAM,UAAQ,GAAE,MAAI,yCAAyC,EAAE,MAAM,QAAQ;AAAE,QAAI,IAAE,GAAG,gBAAgB,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC,WAASA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAE,GAAG,EAAE,OAAM,EAAE,OAAM,CAAC,GAAE,IAAE,GAAG,GAAE,GAAE,GAAE,CAAC;AAAE,QAAEA,IAAE,eAAe,GAAE,EAAE,OAAM,EAAE,MAAM;AAAA,EAAC,OAAK;AAAC,QAAI,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,CAAC,GAAE,EAAE,OAAM,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC,GAAEA,IAAE,YAAY,EAAE,MAAM;AAAA,EAAC;AAAC,SAAO;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,WAAU,GAAE,aAAY,GAAE,SAAQ,GAAE,UAAS,GAAE,UAAS,GAAE,wBAAuB,EAAC,IAAE,GAAE,EAAC,MAAK,GAAE,YAAW,EAAC,IAAE,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,GAAE,CAAC;AAAE,SAAM,CAACA,IAAE,eAAe,CAAC,EAAE,MAAM,GAAE,UAAS,CAAC,GAAEA,IAAE,eAAe,EAAE,OAAM,SAAQ,CAAC,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,GAAG,KAAI,eAAc,IAAG,iBAAgB,KAAE,CAAC;AAA9D,IAAgE,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,IAAG,CAAC;AAAzB,IAA2B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,GAAG,EAAC,QAAO,EAAE,KAAI,CAAC;AAA1B,IAA4B,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,QAAO,GAAE,SAAQ,GAAE,SAAQ,EAAC,IAAE,GAAE,CAAC,IAAE,GAAE,EAAC,WAAU,GAAE,YAAW,GAAE,WAAU,GAAE,SAAQ,GAAE,YAAW,EAAC,IAAE,EAAE,gBAAgB,GAAE,GAAE,EAAE,KAAK,GAAE,IAAE,CAAC,IAAE,GAAE,CAAC;AAAE,MAAG,MAAI;AAAE,WAAOA,IAAE,eAAe,EAAE,OAAM,EAAE,KAAK;AAAE,MAAI,IAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,MAAM,EAAE,MAAM,EAAE,KAAK,CAAC,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,CAAC,GAAE,GAAE,EAAE,MAAM,QAAO,EAAE,MAAM,QAAO,GAAE,GAAE,EAAE,OAAM,KAAE,GAAE,IAAE,EAAE,cAAc,CAAC,GAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAE,MAAK,EAAC,CAAC;AAAE,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS;AAAA,gCAC9sF,KAAK,YAAU;AAAA,EAAM;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UAC/D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAkEZ;AAAC;AApE0+E,IAoEx+E,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,KAAI,SAAS,GAAE,KAAK,gBAAc,CAAC,KAAI,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,WAAS,8CAA6C,KAAK,YAAU;AAAA,EAAO;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,UAC/U,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EA0DZ;AAAC;AAAE,SAAS,GAAG,GAAE,GAAE;AAAC,QAAI,QAAM,EAAE,YAAY,EAAE,MAAM;AAAC;AAAC,SAAS,GAAG,GAAE;AAAC,MAAI,IAAE;AAAE,SAAK,IAAE;AAAG,SAAG;AAAE,SAAO;AAAC;AAAC,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,QAAO,EAAC,IAAE,GAAE,IAAE,EAAE,OAAM,IAAE,EAAE,EAAE,SAAO,CAAC;AAAE,MAAGA,IAAE,mBAAmB,CAAC,CAAC,CAAC,GAAE;AAAC,QAAI,IAAEA,IAAE,SAAS,EAAE,MAAM,GAAE,CAAC,GAAE,CAAC,IAAE,GAAG,GAAE,GAAE,EAAE,OAAM,GAAE,CAAC;AAAE,WAAM,CAACA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,GAAEA,IAAE,eAAe,EAAE,OAAM,EAAE,OAAM,EAAE,MAAM,CAAC;AAAA,EAAC;AAAC,MAAG,MAAI;AAAE,WAAO,EAAE,EAAE,SAAO,CAAC,IAAE,GAAE,CAACA,IAAE,eAAe,GAAE,EAAE,OAAM,CAAC,CAAC,GAAEA,IAAE,eAAe,GAAE,SAAQ,CAAC,CAAC,CAAC;AAAE,MAAG,MAAI;AAAE,WAAM,CAAC,GAAE,GAAG,EAAC,OAAM,EAAC,OAAM,GAAE,OAAM,SAAQ,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,CAAC;AAAE,MAAI,IAAE,EAAE,cAAc,CAAC,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,CAAC,GAAE,CAAC,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,GAAG,CAAC,GAAE,IAAE,MAAK,IAAE,MAAI,MAAI,OAAK,CAAC,GAAE,CAAC,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,MAAI;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,MAAI,OAAK,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,OAAO,iBAAiB,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,iBAAiB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAA,EAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,CAAC,GAAE,CAAC,CAAC;AAAA,EAAC;AAAC,WAAQ,IAAE,GAAE,IAAE,GAAE,KAAG,GAAE;AAAC,QAAI,IAAE,EAAE,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,CAAC,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,MAAI,OAAK,IAAE,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,CAAC,GAAE,IAAE;AAAE,QAAEA,IAAE,iBAAiB,GAAE,GAAE,SAAQ,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,QAAI,IAAE,IAAE,GAAE,IAAE,IAAE;AAAE,aAAQ,IAAE,GAAE,KAAG,GAAE,KAAG;AAAE,QAAE,GAAE,GAAE,EAAE,KAAK;AAAA,EAAC;AAAC,MAAI,IAAE;AAAE,MAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,CAAC,GAAE,CAAC,EAAC,EAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,GAAE,SAAQ,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,GAAE,WAAU,EAAC,EAAC,CAAC;AAAE,KAAGA,KAAE,CAAC;AAAE,MAAI,IAAE,EAAE,MAAM,GAAE,EAAE;AAAE,IAAE,KAAK,CAAC,GAAE,IAAE,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC;AAAE,MAAI,IAAE;AAAE,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,OAAM,EAAC,OAAM,EAAC,GAAE,SAAQA,IAAC,CAAC,GAAE,GAAGA,KAAE,CAAC,GAAE,CAAC,GAAE,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAE;AAAC,SAAK,gBAAc,CAAC,SAAQ,YAAY,GAAE,KAAK,WAAS,iEAAgE,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,OAAK,MAAG,KAAK,cAAY,GAAE,KAAK,iBAAe,EAAE,KAAK,WAAW,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,KAAK,aAAY,KAAK,aAAa,GAAE,KAAK,YAAU;AAAA,EAAW;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAgE76D,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAoDZ;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,eAAc,GAAE,UAAS,GAAE,WAAU,GAAE,aAAY,EAAC,IAAE,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,IAAE,EAAE,OAAM,CAAC,GAAE,CAAC,IAAE,KAAG,OAAK,IAAE,CAAC,GAAE,CAAC,GAAE,IAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,IAAI,GAAG,CAAC,GAAE,IAAE,MAAI,YAAU,IAAE,GAAE;AAAE,UAAO,GAAE;AAAA,IAAC,KAAI;AAAW,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM,KAAI;AAAO,UAAE;AAAE;AAAA,IAAM,KAAI;AAAU,UAAE;AAAE;AAAA,IAAM;AAAQ,UAAE;AAAE;AAAA,EAAK;AAAC,MAAI,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,WAAU,MAAK,CAAC,CAAC,EAAC,CAAC;AAAE,SAAOA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,WAAU,CAAC;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,OAAM,EAAC,IAAE,GAAE,EAAC,MAAK,EAAC,IAAE;AAAE,MAAE,MAAI,KAAG,EAAE,MAAM;AAAQ,MAAI,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,EAAE,MAAM,CAAC,GAAE,IAAE,IAAI,MAAM,IAAE,CAAC,GAAE,IAAE;AAAE,WAAQ,IAAE,GAAE,IAAE,GAAE;AAAI,UAAI,MAAI,EAAE,GAAG,IAAE,EAAE,MAAM,CAAC;AAAG,MAAI,IAAE,CAAC,GAAE,IAAE,IAAI,MAAM,CAAC,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,MAAM,MAAM;AAAE,IAAE,CAAC,IAAE;AAAE,MAAI,IAAE,IAAI,MAAM,CAAC;AAAE,WAAQ,IAAE,GAAE,IAAE,EAAE,QAAO,KAAI;AAAC,MAAE,CAAC,IAAE;AAAE,QAAI,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,MAAK,EAAC,EAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,MAAE,CAAC,IAAE,GAAE,EAAE,KAAK,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,KAAG,MAAK;AAAA,EAAC,YAAY,GAAEA,KAAE,GAAE;AAAC,QAAG,KAAK,cAAY,CAAC,GAAE,KAAK,gBAAc,CAAC,KAAI,YAAY,GAAE,KAAK,WAAS,kCAAiC,KAAK,gBAAc,CAAC,IAAG,GAAE,CAAC,GAAE,KAAK,SAAO,MAAG,KAAK,cAAYA,KAAE,KAAK,iBAAe,EAAE,CAAC,GAAE,KAAK,WAAS,EAAE,KAAK,gBAAe,GAAE,KAAK,aAAa,GAAE,MAAI,aAAW,MAAI;AAAQ,YAAM,IAAI,MAAM;AAAA,wCAC31C,SAAS;AAAE,SAAK,OAAK,GAAE,KAAK,YAAU;AAAA,EAAoB;AAAA,EAAC,cAAa;AAAC,WAAM;AAAA,MACjH,EAAE,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,YAWH,GAAG,sBAAqB,SAAQ,KAAK,IAAI;AAAA;AAAA;AAAA;AAAA;AAAA,EAIlD;AAAC;AAAE,SAAS,IAAI,GAAE;AAAC,MAAG,EAAC,QAAO,GAAE,SAAQA,KAAE,OAAM,EAAC,IAAE,GAAE,EAAC,GAAE,GAAE,YAAW,EAAC,IAAE,GAAE,EAAC,aAAY,EAAC,IAAE,GAAE,IAAE,EAAE,MAAM,QAAO,IAAE,CAAC,GAAE,IAAE,GAAE,IAAE,EAAE,mBAAmB,CAAC,CAAC,GAAE,CAAC,GAAE,IAAE;AAAE,OAAG,SAAO,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC,GAAE,EAAE,KAAK,CAAC,GAAE,IAAE,EAAE,iBAAiB,GAAE,CAAC,EAAE,CAAC;AAAG,MAAI,IAAE,EAAE,aAAa,gBAAgB,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,EAAE,cAAc,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,CAAC,IAAG,CAAC,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE,EAAE,OAAM,IAAE,CAAC,EAAE,MAAM,CAAC,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,SAAQA,KAAE,OAAM,EAAC,OAAM,GAAE,OAAM,GAAE,OAAM,EAAC,EAAC,CAAC,GAAE,IAAE,IAAI,GAAG,EAAE,OAAM,GAAE,CAAC,GAAE,IAAE,CAAC,EAAC,MAAK,SAAQ,MAAK,CAAC,CAAC,EAAC,GAAE,EAAC,MAAK,SAAQ,MAAK,CAAC,EAAE,cAAc,EAAE,KAAK,CAAC,EAAC,CAAC,GAAE,IAAEA,IAAE,iBAAiB,GAAE,CAAC,GAAE,CAAC,GAAE,GAAE,GAAE,CAAC,GAAE,IAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,OAAM,EAAC,EAAC,CAAC;AAAE,IAAE,KAAK,CAAC;AAAE,MAAI,IAAE;AAAE,MAAG,KAAG,MAAK;AAAC,MAAE,KAAK,CAAC;AAAE,QAAI,IAAE,EAAE,uBAAuB,CAAC;AAAE,QAAE,GAAG,EAAC,QAAO,EAAC,GAAE,EAAC,GAAE,SAAQA,KAAE,OAAM,EAAC,MAAK,EAAC,EAAC,CAAC;AAAA,EAAC;AAAC,SAAO,EAAE,QAAQ,OAAGA,IAAE,YAAY,EAAE,MAAM,CAAC,GAAE;AAAC;AAAC,IAAI,KAAG,EAAC,YAAW,IAAG,aAAY,UAAS,YAAW,IAAG;AAAE,IAAI,MAAI,CAAC,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,IAAG,EAAE;AAAE,SAAQ,KAAK;AAAI,KAAG,CAAC;AAAE,IAAI,KAAG;AAAP,IAAe,MAAI;AAAnB,IAA2B,MAAI;AAA/B,IAAuC,MAAI;AAA3C,IAAmD,MAAI;AAAvD,IAA+D,MAAI;AAAnE,IAAoF,MAAI,EAAC,MAAK,IAAG,aAAY,IAAG,kBAAiB,KAAI,oBAAmB,KAAI,sBAAqB,KAAI,qBAAoB,KAAI,uBAAsB,IAAG;;;ACnxQ/kD,SAAS,OAAO,KAAW;AAChC,QAAMC,MAAK,oBAAI,KAAK;AACpB,QAAMC,MAAK,GAAGD,IAAG,SAAS,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,WAAW,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,WAAW,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG,KAAKA,IAAG,gBAAgB,EAAE,SAAS,EAAE,SAAS,GAAG,GAAG;AACxM,MAAI;AAAK,YAAQ,IAAIC,KAAI,UAAU,GAAG,GAAG;AAC3C;AAGO,SAAS,KAAK,QAAgB,MAAsB;AACzD,QAAM,YAAY,OAAO,SAAS,GAAG,IAAI,KAAK;AAC9C,QAAM,WAAW,KAAK,WAAW,GAAG,KAAK,KAAK,WAAW,GAAG,KAAK,KAAK,WAAW,OAAO,KAAK,KAAK,WAAW,QAAQ,KAAK,KAAK,WAAW,OAAO;AACjJ,QAAM,OAAO,WAAW,GAAG,SAAS,GAAG,SAAS,YAAY;AAC5D,MAAI,CAAC,KAAK,kBAAkB,EAAE,SAAS,OAAO;AAAG,UAAM,IAAI,MAAM,yCAAyC,MAAM;AAChH,SAAO;AACT;AAGO,IAAM,MAAM,MAAM;AACvB,MAAI,OAAO,gBAAgB;AAAa,WAAO,YAAY,IAAI;AAC/D,SAAO,UAAU,OAAO,QAAQ,OAAO,OAAO,CAAC,IAAI,MAAO,KAAM,SAAS,CAAC;AAC5E;AAGO,SAAS,SAAS,UAA2BC,SAAyB,SAAS,UAAU,OAA+D,CAAC,GAAG;AACjK,aAAW,OAAO,OAAO,KAAKA,OAAM,GAAG;AACrC,QAAI,OAAOA,QAAO,GAAG,MAAM,UAAU;AACnC,eAAS,SAAS,GAAG,GAAGA,QAAO,GAAG,GAAG,KAAK,IAAI;AAAA,IAChD,OAAO;AACL,YAAM,UAAU,YAAa,OAAO,SAAS,GAAG,MAAM;AACtD,UAAI,CAAC;AAAS,aAAK,KAAK,EAAE,QAAQ,oBAAoB,OAAO,GAAG,UAAU,SAASA,QAAO,GAAG,IAAI,CAAC;AAClG,YAAM,OAAO,YAAY,OAAO,SAAS,GAAG,MAAM,OAAOA,QAAO,GAAG;AACnE,UAAI,WAAW,CAAC;AAAM,aAAK,KAAK,EAAE,QAAQ,0BAA0B,OAAO,GAAG,UAAU,SAASA,QAAO,GAAG,KAAK,UAAU,OAAO,SAAS,GAAG,EAAE,CAAC;AAAA,IAClJ;AAAA,EAEF;AACA,MAAIA,QAAO,SAAS,WAAW,YAAY,KAAK,SAAS;AAAG,QAAI,yBAAyB,IAAI;AAC7F,SAAO;AACT;AAGO,SAAS,aAAa,SAAS;AACpC,QAAM,WAAW,CAAC,QAAQ,OAAO,OAAO,QAAQ;AAChD,SAAO,QAAQ,OAAO,CAAC,MAAM,QAAQ;AACnC,WAAO,KAAK,OAAO,CAAC,CAAC,EAAE,QAAQ,CAAC,QAAQ;AACtC,YAAM,OAAO,KAAK,GAAG;AACrB,YAAM,OAAO,IAAI,GAAG;AACpB,UAAI,MAAM,QAAQ,IAAI,KAAK,MAAM,QAAQ,IAAI;AAAG,aAAK,GAAG,IAAI,KAAK,OAAO,GAAG,IAAI;AAAA,eACtE,SAAS,IAAI,KAAK,SAAS,IAAI;AAAG,aAAK,GAAG,IAAI,UAAU,MAAM,IAAI;AAAA;AACtE,aAAK,GAAG,IAAI;AAAA,IACnB,CAAC;AACD,WAAO;AAAA,EACT,GAAG,CAAC,CAAC;AACP;;;ACoRA,IAAM,SAAiB;AAAA,EACrB,SAAS;AAAA,EACT,eAAe;AAAA,EACf,aAAa;AAAA,EACb,gBAAgB;AAAA,EAChB,UAAU;AAAA,EACV,mBAAmB;AAAA,EACnB,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,kBAAkB;AAAA,EAClB,aAAa;AAAA,EACb,YAAY;AAAA,EACZ,OAAO,CAAC;AAAA,EACR,iBAAiB;AAAA,EACjB,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,cAAc;AAAA,IACd,OAAO;AAAA,IACP,QAAQ;AAAA,IACR,MAAM;AAAA,IACN,QAAQ;AAAA,IACR,gBAAgB;AAAA,IAChB,YAAY;AAAA,IACZ,UAAU;AAAA,IACV,WAAW;AAAA,IACX,MAAM;AAAA,IACN,YAAY;AAAA,IACZ,KAAK;AAAA,IACL,UAAU;AAAA,IACV,OAAO;AAAA,IACP,SAAS;AAAA,IACT,YAAY;AAAA,IACZ,aAAa;AAAA,IACb,UAAU;AAAA,IACV,UAAU;AAAA,EACZ;AAAA,EACA,SAAS;AAAA,IACP,SAAS;AAAA,EACX;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU;AAAA,MACR,WAAW;AAAA,MACX,UAAU;AAAA,MACV,aAAa;AAAA,MACb,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA,MACf,SAAS;AAAA,MACT,cAAc;AAAA,MACd,MAAM;AAAA,MACN,QAAQ;AAAA,IACV;AAAA,IACA,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA,MACX,aAAa;AAAA,IACf;AAAA,IACA,WAAW;AAAA,MACT,SAAS;AAAA,MACT,WAAW;AAAA,IACb;AAAA,IACA,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA,IACb;AAAA,IACA,SAAS;AAAA,MACP,SAAS;AAAA,MACT,eAAe;AAAA,MACf,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,IACA,aAAa;AAAA,MACX,SAAS;AAAA,MACT,WAAW;AAAA,MACX,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA,IACjB;AAAA,IACA,WAAW;AAAA,MACT,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,IACA,UAAU;AAAA,MACR,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA,IACb;AAAA,EACF;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,aAAa;AAAA,IACb,eAAe;AAAA,IACf,YAAY;AAAA,IACZ,UAAU;AAAA,EACZ;AAAA,EACA,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU;AAAA,IACV,YAAY;AAAA,IACZ,UAAU;AAAA,IACV,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,WAAW;AAAA,IACX,UAAU;AAAA,MACR,WAAW;AAAA,IACb;AAAA,IACA,UAAU;AAAA,MACR,WAAW;AAAA,IACb;AAAA,EACF;AAAA,EACA,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,WAAW;AAAA,IACX,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,YAAY;AAAA,IACZ,UAAU;AAAA,EACZ;AAAA,EACA,cAAc;AAAA,IACZ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,OAAO;AAAA,IACP,MAAM;AAAA,EACR;AACF;;;ACndO,IAAM,iBAAiB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAqBvB,IAAM,uBAAuB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAc7B,IAAM,0BAA0B;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAchC,IAAM,WAAW;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAejB,IAAM,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAyBb,IAAM,cAAc;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;;;AC9E3B,IAAM,UAAU,CAAC,QAAQ,QAAgB,eAAe;AACtD,QAAM,IAAI,IAAI,OAAO,QAAQ,SAAS,gBAAgB,IAAI;AAC1D,SAAO,QAAQ,GAAG,CAACC,QAAO,SAAS;AACjC,eAAW,IAAI,IAAI;AACnB,WAAOA;AAAA,EACT,CAAC;AACH;AAEA,IAAM,YAAN,MAAgB;AAAA,EAMd,YAAYC,KAAI,cAAc,gBAAgB;AAL9C,mCAAU,CAAC;AACX,qCAAY,CAAC;AACb;AACA;AA2BA,mCAAU,CAAC,QAAQ,SAA6B;AAC9C,YAAM,SAAS,KAAK,GAAG,aAAa,IAAI;AACxC,UAAI,CAAC,QAAQ;AACX,YAAI,iCAAiC;AACrC,eAAO;AAAA,MACT;AACA,WAAK,GAAG,aAAa,QAAQ,MAAM;AACnC,WAAK,GAAG,cAAc,MAAM;AAC5B,UAAI,CAAC,KAAK,GAAG,mBAAmB,QAAQ,KAAK,GAAG,cAAc,GAAG;AAC/D,YAAI,8BAA8B,KAAK,GAAG,iBAAiB,MAAM,KAAK,WAAW;AACjF,eAAO;AAAA,MACT;AACA,aAAO;AAAA,IACT;AArCE,SAAK,KAAKA;AACV,UAAM,eAAe,KAAK,QAAQ,cAAc,KAAK,GAAG,aAAa;AACrE,UAAM,iBAAiB,KAAK,QAAQ,gBAAgB,KAAK,GAAG,eAAe;AAC3E,SAAK,KAAK,KAAK,GAAG,cAAc;AAChC,QAAI,CAAC,gBAAgB,CAAC;AAAgB;AACtC,QAAI,CAAC,KAAK,IAAI;AACZ,UAAI,wCAAwC;AAC5C;AAAA,IACF;AACA,SAAK,GAAG,aAAa,KAAK,IAAI,YAAY;AAC1C,SAAK,GAAG,aAAa,KAAK,IAAI,cAAc;AAC5C,SAAK,GAAG,YAAY,KAAK,EAAE;AAC3B,QAAI,CAAC,KAAK,GAAG,oBAAoB,KAAK,IAAI,KAAK,GAAG,WAAW,GAAG;AAC9D,UAAI,2BAA2B,KAAK,GAAG,kBAAkB,KAAK,EAAE,KAAK,WAAW;AAChF;AAAA,IACF;AACA,SAAK,GAAG,WAAW,KAAK,EAAE;AAC1B,YAAQ,cAAc,aAAa,KAAK,SAAS;AACjD,eAAW,KAAK,KAAK;AAAW,WAAK,UAAU,CAAC,IAAI,KAAK,GAAG,kBAAkB,KAAK,IAAI,CAAC;AACxF,YAAQ,cAAc,WAAW,KAAK,OAAO;AAC7C,YAAQ,gBAAgB,WAAW,KAAK,OAAO;AAC/C,eAAW,KAAK,KAAK;AAAS,WAAK,QAAQ,CAAC,IAAI,KAAK,GAAG,mBAAmB,KAAK,IAAI,CAAC;AAAA,EACvF;AAgBF;AAWO,SAAS,gBAAgB;AAC9B,MAAI,YAAY;AAChB,MAAI,gBAAqC;AACzC,MAAI,cAAc;AAClB,MAAI,0BAA0B;AAC9B,MAAI,mBAAoG,CAAC,MAAM,IAAI;AACnH,MAAI,cAAyC,CAAC;AAC9C,MAAI,eAAmC;AACvC,MAAI,iBAAmC;AACvC,QAAM,WAAW,OAAO,KAAK,GAAG;AAChC,QAAM,qBAAqB,CAAE;AAC7B,QAAM,OAAO,EAAE,cAAc,EAAE;AAC/B,QAAMA,MAAK,SAAS,WAAW,OAAO;AACtC,MAAI,CAACA,KAAI;AACP,QAAI,kCAAkC;AACtC;AAAA,EACF;AAEA,OAAK,KAAKA;AAEV,WAAS,OAAO,OAAO,QAAQ;AAC7B,QAAI,UAAU,SAAS,SAAS,WAAW,SAAS;AAAQ;AAC5D,aAAS,QAAQ;AACjB,aAAS,SAAS;AAClB,QAAI,CAAC,cAAc;AACjB,YAAM,WAAW,IAAI,aAAa,CAAC,IAAI,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,CAAC;AAChH,qBAAeA,IAAG,aAAa;AAC/B,MAAAA,IAAG,WAAWA,IAAG,cAAc,YAAY;AAC3C,MAAAA,IAAG,WAAWA,IAAG,cAAc,UAAUA,IAAG,WAAW;AACvD,MAAAA,IAAG,YAAYA,IAAG,gCAAgC,IAAI;AAAA,IACxD;AACA,IAAAA,IAAG,SAAS,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AACjD,uBAAmB,CAAC,MAAM,IAAI;AAAA,EAChC;AAEA,WAAS,yBAAyB,OAAO,QAAQ;AAC/C,UAAM,MAAMA,IAAG,kBAAkB;AACjC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,GAAG;AACtC,UAAM,eAAeA,IAAG,mBAAmB;AAC3C,IAAAA,IAAG,iBAAiBA,IAAG,cAAc,YAAY;AACjD,UAAM,UAAUA,IAAG,cAAc;AACjC,IAAAA,IAAG,YAAYA,IAAG,YAAY,OAAO;AACrC,IAAAA,IAAG,WAAWA,IAAG,YAAY,GAAGA,IAAG,MAAM,OAAO,QAAQ,GAAGA,IAAG,MAAMA,IAAG,eAAe,IAAI;AAC1F,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,MAAM;AAChE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,MAAM;AAChE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,qBAAqBA,IAAG,aAAaA,IAAG,mBAAmBA,IAAG,YAAY,SAAS,CAAC;AACvF,IAAAA,IAAG,YAAYA,IAAG,YAAY,IAAI;AAClC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,IAAI;AACvC,WAAO,EAAE,KAAK,QAAQ;AAAA,EACxB;AAEA,WAAS,mBAAmBC,QAAuE;AACjG,qBAAiBA,MAAK,IAAI,iBAAiBA,MAAK,KAAK,yBAAyB,SAAS,OAAO,SAAS,MAAM;AAC7G,WAAO,iBAAiBA,MAAK;AAAA,EAC/B;AAEA,WAAS,KAAK,QAAQ,GAAG;AACvB,QAAI,CAAC;AAAgB;AACrB,QAAI,SAA8B;AAClC,QAAI,SAAkC;AACtC,QAAI,QAAQ;AACZ,QAAI,cAAc;AAAG,eAAS;AAAA;AACzB,eAAS,mBAAmB,uBAAuB,EAAE,WAAW;AACrE;AACA,QAAI,eAAe,EAAE,QAAQ,KAAK,eAAe;AAC/C,eAAS;AACT,cAAQ,YAAY,MAAM;AAAA,IAC5B,OAAO;AACL,iCAA2B,0BAA0B,KAAK;AAC1D,eAAS,mBAAmB,uBAAuB,EAAE,OAAO;AAAA,IAC9D;AACA,IAAAD,IAAG,YAAYA,IAAG,YAAY,MAAM;AACpC,IAAAA,IAAG,gBAAgBA,IAAG,aAAa,MAAM;AACzC,IAAAA,IAAG,UAAU,eAAe,QAAQ,OAAO,GAAI,QAAQ,KAAK,CAAE;AAC9D,IAAAA,IAAG,WAAWA,IAAG,WAAW,GAAG,CAAC;AAAA,EAClC;AAEA,WAAS,cAAc,gBAAkC;AACvD,QAAI,mBAAmB,cAAc,GAAG;AACtC,uBAAiB,mBAAmB,cAAc;AAClD,MAAAA,IAAG,YAAY,iBAAiB,eAAe,KAAK,SAAS,IAAI;AACjE,aAAO;AAAA,IACT;AACA,qBAAiB,IAAI,UAAUA,KAAY,gBAAgB,cAAc;AACzE,QAAI,CAAC,gBAAgB;AACnB,UAAI,qCAAqC;AACzC,aAAO;AAAA,IACT;AACA,UAAM,YAAY,aAAa;AAC/B,UAAM,WAAW,IAAI;AACrB,IAAAA,IAAG,wBAAwB,eAAe,UAAU,KAAK,CAAC;AAC1D,IAAAA,IAAG,oBAAoB,eAAe,UAAU,KAAK,GAAG,GAAGA,IAAG,OAAO,OAAO,UAAU,IAAI,SAAS;AACnG,IAAAA,IAAG,wBAAwB,eAAe,UAAU,IAAI,CAAC;AACzD,IAAAA,IAAG,oBAAoB,eAAe,UAAU,IAAI,GAAG,GAAGA,IAAG,OAAO,OAAO,UAAU,IAAI,SAAS;AAClG,uBAAmB,cAAc,IAAI;AACrC,WAAO;AAAA,EACT;AAEA,QAAM,SAAS;AAAA,IACb,aAAa,CAAC,WAAqB;AACjC,YAAM,IAAI,IAAI,aAAa,MAAM;AACjC,QAAE,CAAC,KAAK;AACR,QAAE,CAAC,KAAK;AACR,QAAE,EAAE,KAAK;AACT,QAAE,EAAE,KAAK;AACT,YAAM,SAAU,EAAE,EAAE,MAAM,KAAK,EAAE,CAAC,MAAM,KAAK,EAAE,CAAC,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,KAAK,EAAE,EAAE,MAAM,IACrH,0BACA;AACZ,YAAM,UAAU,cAAc,MAAM;AACpC,UAAI,CAAC;AAAS;AACd,MAAAA,IAAG,WAAW,QAAQ,QAAQ,GAAG,GAAG,CAAC;AACrC,WAAK;AAAA,IACP;AAAA,IAEA,YAAY,CAAC,eAAuB;AAClC,YAAM,KAAK,cAAc,KAAK;AAC9B,aAAO,YAAY;AAAA,QACjB;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,CAAC,WAAmB;AAC9B,YAAM,KAAK,UAAU,KAAK,IAAI,IAAI;AAClC,YAAME,MAAM,IAAI,KAAK;AACrB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAGA;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZA;AAAA,QAAG;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZA;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,WAAW,EAAE;AAAA,IACtB;AAAA,IAEA,UAAU,CAAC,WAAmB;AAC5B,YAAMC,MAAK,UAAU,KAAK;AAC1B,YAAM,IAAI,QAAQA,KAAI;AACtB,aAAO,YAAY;AAAA,QACjBA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAGA;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,UAAU,MAAM;AACd,aAAO,SAAS,EAAE;AAAA,IACpB;AAAA,IAEA,KAAK,CAAC,aAAqB;AACzB,kBAAY,YAAY,KAAK,MAAM,KAAK;AACxC,YAAM,MAAM,KAAK,IAAI,QAAQ;AAC7B,YAAM,MAAM,KAAK,IAAI,QAAQ;AAC7B,YAAM,OAAO;AACb,YAAM,OAAO;AACb,YAAM,OAAO;AACb,aAAO,YAAY;AAAA,QACjB,OAAO,OAAO,IAAI,QAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,OAAO,IAAI;AAAA,QAAO;AAAA,QAAG;AAAA,QAC3H,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAQ,OAAO,OAAO,IAAI,QAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAS;AAAA,QAAG;AAAA,QACzH,OAAO,MAAO,CAAC,OAAQ,MAAO,EAAE,IAAI;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAO,OAAO,OAAO,IAAI,QAAQ,MAAO;AAAA,QAAO;AAAA,QAAG;AAAA,QAC5H;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,qBAAqB,MAAM;AACzB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAW;AAAA,QAAW;AAAA,QAAW;AAAA,QAAG;AAAA,QACpC;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,OAAO,MAAM;AACX,aAAO,YAAY;AAAA,QACjB;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAO;AAAA,QAAW;AAAA,QAAY;AAAA,QAAG;AAAA,QACjC;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,SAAS,MAAM;AACb,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAuB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,gBAAgB,MAAM;AACpB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAG;AAAA,QACjE;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAG;AAAA,QAChE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAsB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QACnE;AAAA,QAAsB;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,aAAa,MAAM;AACjB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAqB;AAAA,QAAoB;AAAA,QAAsB;AAAA,QAAG;AAAA,QAClE;AAAA,QAAoB;AAAA,QAAqB;AAAA,QAAmB;AAAA,QAAG;AAAA,QAC/D;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,UAAU,MAAM;AACd,aAAO,YAAY;AAAA,QACjB;AAAA,QAAO;AAAA,QAAQ;AAAA,QAAQ;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAQ;AAAA,QAAO;AAAA,QAAQ;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAQ;AAAA,QAAQ;AAAA,QAAO;AAAA,QAAG;AAAA,QAC1B;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,YAAY,MAAM;AAChB,aAAO,YAAY;AAAA,QACjB;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QACZ;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,MACd,CAAC;AAAA,IACH;AAAA,IAEA,aAAa,CAAC,WAAqB;AACjC,YAAM,IAAI,IAAI,aAAa,MAAM;AACjC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,UAAU,cAAsB,WAAW;AACjD,UAAI,CAAC;AAAS;AACd,MAAAH,IAAG,WAAW,QAAQ,QAAQ,GAAG,GAAG,CAAC;AACrC,MAAAA,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,YAAY,UAAU;AAC1D,WAAK;AAAA,IACP;AAAA,IAEA,aAAa,MAAM;AAEjB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAG;AAAA,QAAG;AAAA,QACN;AAAA,QAAG;AAAA,QAAI;AAAA,QACP;AAAA,QAAG;AAAA,QAAG;AAAA,MACR,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,MAAM;AAEZ,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAI;AAAA,QAAG;AAAA,QACP;AAAA,QAAI;AAAA,QAAG;AAAA,QACP;AAAA,QAAI;AAAA,QAAG;AAAA,MACT,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,MAAM;AAEZ,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAI;AAAA,QAAI;AAAA,QACR;AAAA,QAAG;AAAA,QAAG;AAAA,QACN;AAAA,QAAG;AAAA,QAAG;AAAA,MACR,CAAC;AAAA,IACH;AAAA,IAEA,SAAS,CAAC,WAAW;AACnB,YAAM,IAAI,UAAU;AAEpB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,QACX,KAAK;AAAA,QAAG,IAAI,IAAI;AAAA,QAAG,KAAK;AAAA,QACxB;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,MACb,CAAC;AAAA,IACH;AAAA,IAEA,QAAQ,CAACI,UAAiB;AACxB,YAAM,IAAIA,SAAQ;AAElB,aAAO,YAAY,KAAK,MAAM;AAAA,QAC5B,KAAK;AAAA,QAAG,KAAK;AAAA,QAAG;AAAA,QAChB,KAAK;AAAA,QAAG;AAAA,QAAG,IAAI;AAAA,QACf;AAAA,QAAG,IAAI;AAAA,QAAG,IAAI;AAAA,MAChB,CAAC;AAAA,IACH;AAAA,IAEA,MAAM,CAACA,UAAiB;AACtB,YAAM,YAAaA,QAAO,IAAK,SAAS;AACxC,YAAM,YAAaA,QAAO,IAAK,SAAS;AACxC,YAAM,UAAU,cAAsB,IAAI;AAC1C,UAAI,CAAC;AAAS;AAEd,MAAAJ,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,GAAG,SAAS;AAChD,WAAK,KAAK,YAAY;AAEtB,MAAAA,IAAG,UAAU,QAAQ,QAAQ,IAAI,GAAG,WAAW,CAAC;AAChD,WAAK;AAAA,IACP;AAAA,IAEA,UAAU,CAACI,UAAiB;AAC1B,YAAM,YAAaA,QAAQ,SAAS;AACpC,YAAM,YAAaA,QAAQ,SAAS;AACpC,YAAM,UAAU,cAAsB,QAAQ;AAC9C,UAAI,CAAC;AAAS;AACd,MAAAJ,IAAG,UAAU,QAAQ,QAAQ,MAAM,GAAG,WAAW,SAAS;AAC1D,WAAK;AAAA,IACP;AAAA,EACF;AAGA,OAAK,MAAM,SAAU,MAAM;AACzB,UAAM,OAAO,MAAM,UAAU,MAAM,KAAK,WAAW,CAAC;AACpD,UAAM,OAAO,OAAO,IAAI;AACxB,gBAAY,KAAK,EAAE,MAAM,KAAK,CAAC;AAAA,EACjC;AAGA,OAAK,QAAQ,WAAY;AACvB,kBAAc,CAAC;AAAA,EACjB;AAGA,OAAK,MAAM,WAAY;AACrB,WAAO;AAAA,EACT;AAGA,OAAK,QAAQ,SAAU,OAAO;AAC5B,WAAO,MAAM,OAAO,MAAM,MAAM;AAChC,gBAAY;AACZ,QAAI,CAAC;AAAe,sBAAgBA,IAAG,cAAc;AACrD,IAAAA,IAAG,YAAYA,IAAG,YAAY,aAAa;AAC3C,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,gBAAgBA,IAAG,aAAa;AACnE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,OAAO;AACjE,IAAAA,IAAG,cAAcA,IAAG,YAAYA,IAAG,oBAAoBA,IAAG,OAAO;AACjE,IAAAA,IAAG,WAAWA,IAAG,YAAY,GAAGA,IAAG,MAAMA,IAAG,MAAMA,IAAG,eAAe,KAAK;AACzE,aAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,oBAAe,MAAM,YAAY,SAAS;AAC1C,YAAM,IAAI,YAAY,CAAC;AAEvB,QAAE,KAAK,MAAM,MAAM,EAAE,QAAQ,CAAC,CAAC;AAAA,IACjC;AACA,WAAO;AAAA,EACT;AAGA,OAAK,OAAO,SAAU,OAAO;AAC3B,SAAK,IAAI,cAAc,CAAC;AACxB,WAAO,KAAK,MAAM,KAAK;AAAA,EACzB;AACF;;;AClbA,eAAsB,sBAAsB,YAAqC;AAC/E,QAAM,UAAU,WAAW,MAAM,WAAW,IAAO,GAAQ,UAAU,IAAI;AACzE,QAAMK,OAAS,GAAM,SAAS,GAAG,CAAC;AAClC,QAAM,MAAgB,CAAI,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,CAAC;AACrE,QAAM,MAAgB,CAAI,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,CAAC,CAAC;AAGrE,QAAM,SAAS,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,YAAY,QAAQ,KAAK,CAAC,CAAC;AACrE,QAAM,WAAW,KAAK,IAAI,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AAClE,QAAM,WAAW,WAAW,IAAI,MAAM;AACtC,QAAM,SAAS,WAAW;AAC1B,MAAI;AACJ,MAAI,SAAS,GAAG;AACd,UAAM,MAAM,CAAI,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAIA,KAAI,CAAC,GAAG,IAAI,CAAC,CAAC,CAAC;AACnF,UAAM,QAAQ,CAAI,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAM,GAAI,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,CAAC;AAErF,UAAM,MAAM,CAAI,GAAI,IAAI,CAAC,GAAG,MAAM,GAAM,GAAI,IAAI,CAAC,GAAG,MAAM,GAAM,GAAI,IAAI,CAAC,GAAG,MAAM,CAAC;AACnF,UAAM,QAAW,GAAM,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAG,CAAC;AAClD,YAAW,EAAQ,OAAO,CAAC,GAAG,QAAQ,MAAM,CAAC,KAAK,GAAG,QAAQ,MAAM,CAAC,KAAK,GAAG,CAAC,CAAC;AAC9E,IAAG,GAAQ,CAAC,GAAG,KAAK,GAAG,OAAO,GAAG,KAAK,KAAK,CAAC;AAAA,EAC9C,OAAO;AACL,YAAW,GAAW,SAAS,CAAC;AAAA,EAClC;AACA,EAAG,GAAQ,CAAC,GAAGA,MAAK,GAAG,KAAK,GAAG,KAAKA,MAAK,SAAS,UAAU,CAAC;AAC7D,SAAO;AACT;;;ACpBA,IAAM,UAAU;AAEhB,IAAI,WAA6B;AACjC,IAAI,YAA8B;AAClC,IAAI,YAA8B;AAElC,IAAIC;AAEJ,IAAM,OAAoG;AAAA,EACxG,UAAU;AAAA,EACV,WAAW;AAAA,EACX,WAAW;AAAA,EACX,aAAa;AACf;AAEO,SAAS,QAAQ;AACtB,OAAK,WAAW;AAChB,OAAK,YAAY;AACjB,OAAK,YAAY;AACjB,OAAK,cAAc;AACrB;AAEO,SAAS,OAAO,OAAe,QAA2B;AAC/D,MAAI;AACJ,MAAI,IAAI,SAAS;AACf,QAAI,IAAI,QAAQ;AACd,UAAI,OAAO,oBAAoB;AAAa,cAAM,IAAI,MAAM,mFAAmF;AAC/I,UAAI,IAAI,gBAAgB,OAAO,MAAM;AAAA,IACvC,OAAO;AACL,UAAI,OAAO,aAAa,aAAa;AACnC,YAAI,SAAS,cAAc,QAAQ;AACnC,UAAE,QAAQ;AACV,UAAE,SAAS;AAAA,MACb,WAAW,OAAO,cAAc,eAAe,UAAU,YAAY,eAAe;AAElF,YAAI,OAAO,IAAI,WAAW;AAAa,cAAI,IAAI,IAAI,OAAO,OAAO,MAAM;AAAA,iBAC9D,OAAO,WAAW,WAAW;AAAa,cAAI,IAAI,WAAW,OAAO,OAAO,MAAM;AAAA;AACrF,gBAAM,IAAI,MAAM,wFAAwF;AAAA,MAC/G,OAAO;AACL,cAAM,IAAI,MAAM,kEAAkE;AAAA,MACpF;AAAA,IACF;AAAA,EACF,OAAO;AAEL,QAAI,OAAO,IAAI,WAAW;AAAa,UAAI,IAAI,IAAI,OAAO,OAAO,MAAM;AAAA,aAC9D,OAAO,WAAW,WAAW;AAAa,UAAI,IAAI,WAAW,OAAO,OAAO,MAAM;AAAA,EAE5F;AAEA,SAAO;AACT;AAGO,SAAS,KAAK,OAAkB,QAAoB;AACzD,QAAM,eAAe,UAAU,OAAO,MAAM,OAAO,MAAM,MAAM;AAC/D,QAAM,MAAM,aAAa,WAAW,IAAI;AACxC,MAAI,UAAU,OAAO,GAAG,CAAC;AACzB,SAAO;AACT;AAKA,eAAsBC,SAAQ,OAAcC,SAAgB,YAAqB,MAAsE;AA3EvJ,MAAAC,KAAA,IAAAC;AA4EE,MAAI,CAAC,OAAO;AAEV,QAAIF,QAAO;AAAO,UAAI,+BAA+B;AACrD,WAAO,EAAE,QAAQ,MAAM,QAAQ,KAAK;AAAA,EACtC;AAEA,MACE,EAAE,iBAAoB,OACnB,EAAE,OAAO,UAAU,eAAe,iBAAiB,UACnD,EAAE,OAAO,WAAW,WAAW,eAAe,iBAAiB,WAAW,WAC1E,EAAE,OAAO,cAAc,eAAe,iBAAiB,cACvD,EAAE,OAAO,gBAAgB,eAAe,iBAAiB,gBACzD,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,EAAE,OAAO,sBAAsB,eAAe,iBAAiB,sBAC/D,EAAE,OAAO,oBAAoB,eAAe,iBAAiB,kBAChE;AACA,UAAM,IAAI,MAAM,kCAAkC;AAAA,EACpD;AACA,MAAI,iBAAoB,IAAQ;AAC9B,QAAIG,UAAwB;AAC5B,QAAI,MAAM,oBAAoB;AAAG,YAAM,IAAI,MAAM,yDAAyD;AAC1G,QAAI,CAAE,MAAiB;AAAO,YAAM,IAAI,MAAM,sDAAsD;AACpG,QAAK,MAAiB,MAAM,WAAW,GAAG;AACxC,UAAK,MAAiB,MAAM,CAAC,MAAM,GAAG;AACpC,QAAAA,UAAY,GAAW,OAAO,CAAC;AAAA,MACjC,WAAY,MAAiB,MAAM,CAAC,MAAM,GAAG;AAC3C,cAAMC,OAAS,GAAQ,OAAmB,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,CAAC,CAAC;AAChE,QAAAD,UAAY,GAAWC,MAAK,CAAC;AAC7B,QAAG,GAAQA,IAAG;AAAA,MAChB;AAAA,IACF,WAAY,MAAiB,MAAM,WAAW,GAAG;AAC/C,UAAK,MAAiB,MAAM,CAAC,MAAM,GAAG;AACpC,QAAAD,UAAY,GAAM,KAAK;AAAA,MACzB,WAAY,MAAiB,MAAM,CAAC,MAAM,GAAG;AAC3C,QAAAA,UAAY,GAAQ,OAAmB,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,IAAI,CAAC,CAAC;AAAA,MACtE;AAAA,IACF;AAEA,QAAIA,WAAU,QAAQA,QAAO,MAAM,WAAW,KAAKA,QAAO,MAAM,CAAC,MAAM,KAAKA,QAAO,MAAM,CAAC,MAAM;AAAG,YAAM,IAAI,MAAM,iEAAmE,MAAiB,MAAO,SAAS,GAAG;AAC1N,QAAKA,QAAQ,UAAU,SAAS;AAC9B,YAAM,OAAU,GAAKA,SAAQ,SAAS;AACtC,MAAG,GAAQA,OAAM;AACjB,MAAAA,UAAS;AAAA,IACX;AACA,WAAO,EAAE,QAAQA,SAAoB,QAASH,QAAO,OAAO,SAAS,YAAY,KAAM;AAAA,EACzF;AAEA,MAAI,OAAO,MAAM,YAAY,MAAM,eAAgB,MAA2B,cAAc,GAAG;AAC7F,QAAIA,QAAO;AAAO,UAAI,2BAA2B;AACjD,WAAO,EAAE,QAAQ,MAAM,QAAQ,SAAS;AAAA,EAC1C;AACA,QAAM,gBAAwB,MAAM,cAAc,KAAK,MAAM,YAAY,KAAK,MAAM,OAAO,KAAM,MAAM,OAAO,KAAM,MAAM,OAAO,EAAE,CAAC,IAAI;AACxI,QAAM,iBAAyB,MAAM,eAAe,KAAK,MAAM,aAAa,KAAK,MAAM,QAAQ,KAAM,MAAM,OAAO,KAAM,MAAM,OAAO,EAAE,CAAC,IAAI;AAC5I,MAAI,CAAC,iBAAiB,CAAC,gBAAgB;AACrC,QAAIA,QAAO;AAAO,UAAI,mCAAmC;AACzD,WAAO,EAAE,QAAQ,MAAM,QAAQ,SAAS;AAAA,EAC1C;AACA,MAAI,cAAsB;AAC1B,MAAI,eAAuB;AAC3B,MAAI,cAAc,SAAS;AACzB,kBAAc;AACd,mBAAe,KAAK,MAAM,cAAc,iBAAiB,aAAa;AAAA,EACxE;AACA,MAAI,eAAe,SAAS;AAC1B,mBAAe;AACf,kBAAc,KAAK,MAAM,eAAe,gBAAgB,cAAc;AAAA,EACxE;AAGA,SAAKC,MAAAD,QAAO,WAAP,gBAAAC,IAAe,UAAS,KAAK;AAAG,kBAAcD,QAAO,OAAO;AAAA,cACvD,KAAAA,QAAO,WAAP,mBAAe,WAAU,KAAK;AAAG,kBAAc,kBAAkBA,QAAO,OAAO,UAAU,KAAK;AACxG,OAAKA,QAAO,OAAO,UAAU,KAAK;AAAG,mBAAeA,QAAO,OAAO;AAAA,YACxDA,QAAO,OAAO,SAAS,KAAK;AAAG,mBAAe,mBAAmBA,QAAO,OAAO,SAAS,KAAK;AACvG,MAAI,CAAC,eAAe,CAAC;AAAc,UAAM,IAAI,MAAM,yCAAyC;AAC5F,MAAI,CAAC,YAAa,SAAS,UAAU,eAAiB,SAAS,WAAW;AAAe,eAAW,OAAO,aAAa,YAAY;AAGpI,QAAM,QAAQ,SAAS,WAAW,IAAI;AACtC,MAAK,OAAO,cAAc,eAAiB,iBAAiB,WAAY;AACtE,UAAM,aAAa,OAAO,GAAG,CAAC;AAAA,EAChC,OAAO;AACL,QAAIA,QAAO,OAAO,QAAQ,OAAO,MAAM,cAAc,aAAa;AAChE,YAAM,UAAU,eAAe,CAAC;AAChC,YAAM,MAAM,IAAI,CAAC;AACjB,YAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AAC9G,YAAM,aAAa,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC;AAAA,IACrC,OAAO;AACL,YAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,SAAS,OAAO,SAAS,MAAM;AAAA,IAChH;AAAA,EACF;AAEA,MAAI,CAAC,aAAc,SAAS,UAAU,UAAU,SAAW,SAAS,WAAW,UAAU;AAAS,gBAAY,OAAO,SAAS,OAAO,SAAS,MAAM;AAGpJ,MAAIA,QAAO,OAAO,WAAW,IAAI,MAAM,WAAW;AAChD,QAAI,CAACF;AAAI,MAAAA,MAAK,IAAI,UAAU,IAAY,cAAc,IAAI;AAC1D,QAAI,SAAS,CAAC,CAACA;AACf,QAAI,EAACA,OAAA,gBAAAA,IAAI,MAAK;AACZ,UAAIE,QAAO;AAAO,YAAI,gDAAgD;AACtE,UAAI,MAAM,YAAY;AACtB,MAAAA,QAAO,OAAO,UAAU;AACxB,WAAK,UAAU,SAAS;AAAA,IAE1B,OAAO;AACL,MAAAF,IAAG,MAAM;AACT,UAAIE,QAAO,OAAO,eAAe;AAAG,QAAAF,IAAG,IAAI,cAAcE,QAAO,OAAO,UAAU;AACjF,UAAIA,QAAO,OAAO,aAAa;AAAG,QAAAF,IAAG,IAAI,YAAYE,QAAO,OAAO,QAAQ;AAC3E,UAAIA,QAAO,OAAO,cAAc;AAAG,QAAAF,IAAG,IAAI,WAAWE,QAAO,OAAO,SAAS;AAC5E,UAAIA,QAAO,OAAO,SAAS;AAAG,QAAAF,IAAG,IAAI,QAAQE,QAAO,OAAO,IAAI;AAC/D,UAAIA,QAAO,OAAO,eAAe;AAAG,QAAAF,IAAG,IAAI,cAAcE,QAAO,OAAO,UAAU;AACjF,UAAIA,QAAO,OAAO,QAAQ;AAAG,QAAAF,IAAG,IAAI,OAAOE,QAAO,OAAO,GAAG;AAC5D,UAAIA,QAAO,OAAO;AAAU,QAAAF,IAAG,IAAI,UAAU;AAC7C,UAAIE,QAAO,OAAO;AAAO,QAAAF,IAAG,IAAI,OAAO;AACvC,UAAIE,QAAO,OAAO;AAAS,QAAAF,IAAG,IAAI,SAAS;AAC3C,UAAIE,QAAO,OAAO;AAAO,QAAAF,IAAG,IAAI,OAAO;AACvC,UAAIE,QAAO,OAAO;AAAY,QAAAF,IAAG,IAAI,YAAY;AACjD,UAAIE,QAAO,OAAO;AAAa,QAAAF,IAAG,IAAI,aAAa;AACnD,UAAIE,QAAO,OAAO;AAAU,QAAAF,IAAG,IAAI,UAAU;AAC7C,UAAIE,QAAO,OAAO,aAAa;AAAG,QAAAF,IAAG,IAAI,YAAYE,QAAO,OAAO,QAAQ;AAC3E,YAAIE,MAAAJ,IAAG,IAAI,MAAP,gBAAAI,IAAU,UAAS;AAAG,oBAAYJ,IAAG,MAAM,QAAQ;AAAA;AAClD,oBAAYA,IAAG,KAAK,QAAQ;AAAA,IACnC;AAAA,EACF,OAAO;AACL,SAAK,UAAU,SAAS;AACxB,QAAIA;AAAI,MAAAA,MAAK;AACb,QAAI,SAAS,CAAC,CAACA;AAAA,EACjB;AAEA,MAAI,CAAC;AAAW,WAAO,EAAE,QAAQ,MAAM,QAAQ,UAAU;AACzD,MAAI,CAAC;AAAW,UAAM,IAAI,MAAM,oCAAoC;AAGpE,MAAI;AACJ,MAAI,QAAQ;AACZ,MAAK,OAAO,cAAc,eAAe,iBAAiB,aAAgB,MAAoB,QAAS,MAAoB,SAAU,MAAoB,QAAS;AAChK,QAAI,IAAI,WAAc,IAAS;AAC7B,eAAY,KAAa,GAAQ,WAAW,KAAkB,IAAI;AAAA,IACpE,OAAO;AACL,cAAS,MAAoB,KAAK,SAAU,MAAoB,SAAU,MAAoB;AAE9F,YAAM,MAAM,IAAI,WAAY,MAAoB,KAAK,MAAM;AAC3D,eAAY,GAAO,KAAK,CAAE,MAAoB,QAAS,MAAoB,OAAO,KAAK,GAAG,OAAO;AAAA,IACnG;AAAA,EACF,OAAO;AACL,QAAI,CAAC,aAAc,UAAU,UAAU,UAAU,SAAW,UAAU,WAAW,UAAU;AAAS,kBAAY,OAAO,UAAU,OAAO,UAAU,MAAM;AACxJ,QAAO,MAAW,IAAI,SAAS;AAC7B,UAAIE,QAAO,YAAY,WAAWA,QAAO,YAAY,aAAaA,QAAO,YAAY,UAAU;AAC7F,iBAAY,GAAQ,WAAW,SAA8B;AAAA,MAC/D,OAAO;AACL,oBAAY,KAAK,SAAS;AAC1B,iBAAY,GAAQ,WAAW,SAA8B;AAAA,MAC/D;AAAA,IACF,OAAO;AACL,YAAM,aAAa,KAAK,SAAS;AACjC,YAAM,UAAU,WAAW,WAAW,IAAI;AAC1C,YAAM,WAAW,QAAQ,aAAa,GAAG,GAAG,aAAa,YAAY;AACrE,cAAQ,SAAS,KAAK,SAAS,cAAc;AAC7C,YAAM,MAAM,IAAI,WAAW,SAAS,KAAK,MAAM;AAC/C,eAAY,GAAO,KAAK,CAAC,aAAa,cAAc,KAAK,CAAC;AAAA,IAC5D;AAAA,EACF;AACA,MAAI,UAAU,GAAG;AACf,UAAMI,OAAS,GAAQ,QAAQ,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,IAAI,IAAI,CAAC,CAAC;AACrD,IAAG,GAAQ,MAAM;AACjB,aAASA;AAAA,EACX;AACA,MAAI,CAAC;AAAQ,UAAM,IAAI,MAAM,mCAAmC;AAChE,QAAM,SAAoB,GAAK,QAAQ,SAAS;AAChD,QAAM,SAAiBJ,QAAO,OAAO,eAAe,MAAc,sBAAsB,MAAM,IAAO,GAAW,QAAQ,CAAC;AACzH,EAAG,GAAQ,CAAC,QAAQ,MAAM,CAAC;AAE3B,MAAIA,QAAO,OAAO,gBAAgB;AAChC,UAAM,MAAS,GAAI,MAAM;AACzB,UAAM,SAAS,MAAM,IAAI,KAAK;AAC9B,IAAAA,QAAO,OAAO,aAAa,OAAO,CAAC,IAAI,IAAK,IAAI,OAAO,CAAC,IAAI,MAAQ,IAAI,OAAO,CAAC;AAChF,IAAG,GAAQ,GAAG;AAAA,EAChB;AAEA,SAAO,EAAE,QAA4B,QAASA,QAAO,OAAO,SAAS,YAAY,KAAM;AACzF;AAgCA,eAAsB,KAAKA,SAAyB,OAAe;AACjE,MAAI,YAAY;AAChB,MAAIA,QAAO,qBAAqB,KAAK,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,MAAM,MAAM,CAAC,IAAI;AAAM,WAAO;AAcxI,MAAI,CAAC,KAAK,aAAa;AACrB,SAAK,cAAiB,GAAM,KAAK;AAAA,EACnC,WAAW,KAAK,YAAY,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,GAAG;AACvG,IAAG,GAAQ,KAAK,WAAW;AAC3B,SAAK,cAAiB,GAAM,KAAK;AAAA,EACnC,OAAO;AACL,UAAMK,MAA4B,CAAC;AACnC,IAAAA,IAAE,OAAU,GAAI,OAAO,KAAK,WAAW;AACvC,IAAAA,IAAE,UAAa,GAAIA,IAAE,MAAMA,IAAE,IAAI;AACjC,IAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO;AACxB,UAAM,UAAU,MAAMA,IAAE,IAAI,KAAK;AACjC,UAAM,eAAe,QAAQ,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,MAAM,MAAM,MAAM,CAAC,KAAK,KAAK,MAAM;AACxF,IAAG,GAAQ,CAAC,KAAK,aAAaA,IAAE,MAAMA,IAAE,SAASA,IAAE,GAAG,CAAC;AACvD,SAAK,cAAiB,GAAM,KAAK;AACjC,gBAAY,iBAAiBL,QAAO,oBAAoB;AAAA,EAC1D;AACA,SAAO;AACT;AAEA,eAAsB,QAAQA,SAAyB,QAAgB,QAAiC;AACtG,QAAMK,MAA4B,CAAC;AACnC,MAAI,CAAC,UAAU,CAAC,UAAU,OAAO,MAAM,WAAW,KAAK,OAAO,MAAM,WAAW,OAAO,MAAM,QAAQ;AAClG,QAAI,CAACL,QAAO;AAAO,UAAI,uDAAuD,OAAO,OAAO,OAAO,KAAK;AACxG,WAAO;AAAA,EACT;AACA,MAAI,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,KAAK,OAAO,MAAM,CAAC,MAAM,GAAG;AACpG,QAAI,CAACA,QAAO;AAAO,UAAI,yDAAyD,OAAO,OAAO,OAAO,KAAK;AAC1G,WAAO;AAAA,EACT;AACA,EAAAK,IAAE,SAAY,GAAM,MAAM;AAC1B,EAAAA,IAAE,SAAU,OAAO,MAAM,CAAC,MAAM,OAAO,MAAM,CAAC,KAAK,OAAO,MAAM,CAAC,MAAM,OAAO,MAAM,CAAC,IAAQ,GAAM,eAAe,QAAoB,CAAC,OAAO,MAAM,CAAC,GAAG,OAAO,MAAM,CAAC,CAAC,CAAC,IAAO,GAAM,MAAM;AAC3L,EAAAA,IAAE,OAAU,GAAIA,IAAE,QAAQA,IAAE,MAAM;AAClC,EAAAA,IAAE,UAAa,GAAIA,IAAE,MAAMA,IAAE,IAAI;AACjC,EAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO;AACxB,QAAM,UAAU,MAAMA,IAAE,IAAI,KAAK;AACjC,QAAM,eAAe,QAAQ,CAAC,KAAK,OAAO,MAAM,CAAC,KAAK,MAAM,OAAO,MAAM,CAAC,KAAK,KAAK,MAAM;AAC1F,EAAG,GAAQ,CAACA,IAAE,QAAQA,IAAE,QAAQA,IAAE,MAAMA,IAAE,SAASA,IAAE,GAAG,CAAC;AACzD,SAAO;AACT;;;ACvVA;AAIO,IAAM,MAAN,MAAU;AAAA,EAgGf,cAAc;AA9Fd;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA,oCAAmB;AAEnB;AAAA,iCAAgB;AAEhB;AAAA,oCAAqB,CAAC;AAEtB;AAAA;AAEA;AAAA;AAEA;AAAA;AAIA;AAAA;AAEA;AAAA,mCAAmB;AAEnB;AAAA,sCAGI;AAAA,MACA,SAAS;AAAA,MACT,KAAK;AAAA,IACP;AAEF;AAAA,gCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,MAAM;AAAA,MACN,aAAa;AAAA,IACf;AAEF;AAAA,iCAOI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,MACT,UAAU;AAAA,MACV,QAAQ;AAAA,MACR,QAAQ;AAAA,IACV;AAEF;AAAA,kCAII;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,IACX;AAEF;AAAA,+BAGI;AAAA,MACA,OAAO;AAAA,MACP,OAAO,CAAC;AAAA,IACV;AAEF;AAAA,mCAAoB,CAAC;AAGrB;AAAA;AACA;AACA;AAYE,SAAK,UAAU,OAAO,cAAc;AACpC,SAAK,OAAQ,OAAO,YAAY,eAAiB,OAAO,QAAQ,aAAa,eAAiB,OAAO,QAAQ,SAAS,SAAS;AAC/H,SAAK,OAAO,EAAE,SAAY,IAAQ,WAAW,EAAE;AAC/C,SAAK,YAAY,OAAO,oBAAoB;AAC5C,SAAK,UAAU;AAGf,SAAK,SAAS,KAAK,WAAW,KAAK,YAAa,OAAO,sBAAsB,cAAe;AAC5F,QAAK,OAAO,cAAc,eAAiB,OAAO,UAAU,cAAc,aAAc;AACtF,YAAM,QAAQ,UAAU,aAAa;AACrC,YAAM,MAAM,MAAM,MAAM,eAAe;AACvC,UAAI,2BAAM,IAAI;AACZ,cAAM,gBAAgB,IAAI,CAAC,EAAE,MAAM,eAAe;AAClD,aAAK,YAAY,+CAAgB,MAAM,cAAc,CAAC,EAAE,QAAQ,UAAU,EAAE,IAAI;AAChF,aAAK,QAAQ,MAAM,QAAQ,IAAI,CAAC,GAAG,EAAE;AACrC,YAAI,KAAK,SAAS,CAAC;AAAG,eAAK,QAAQ,KAAK,MAAM,QAAQ,IAAI,CAAC,GAAG,EAAE;AAChE,aAAK,QAAQ,KAAK,MAAM,QAAQ,OAAO,GAAG;AAAA,MAC5C;AAAA,IACF,WAAW,OAAO,YAAY,aAAa;AACzC,WAAK,WAAW,GAAG,QAAQ,YAAY,QAAQ;AAC/C,WAAK,QAAQ,UAAU,QAAQ;AAAA,IACjC;AAAA,EACF;AAAA,EAhCA,IAAI,SAAS;AAAE,WAAO,mBAAK;AAAA,EAAS;AAAA,EACpC,IAAI,OAAO,KAAK;AAAE,uBAAK,SAAU;AAAK,eAAW,SAAS;AAAA,EAAK;AAAA,EAC/D,IAAI,QAAQ;AAAE,WAAO,mBAAK;AAAA,EAAQ;AAAA;AAAA,EAElC,IAAI,MAAM,KAAK;AAAE,uBAAK,QAAS;AAAK,eAAW,QAAQ;AAAA,EAAK;AAAA,EAC5D,IAAI,YAAY;AAAE,WAAO,mBAAK;AAAA,EAAY;AAAA;AAAA,EAE1C,IAAI,UAAU,KAAK;AAAE,uBAAK,YAAa;AAAK,eAAW,YAAY;AAAA,EAAK;AAAA;AAAA,EA4BxE,MAAM,gBAAgB;AAEpB,SAAK,WAAW,OAAO,KAAQ,GAAO,EAAE,eAAe;AACvD,QAAI;AACF,WAAK,aAAa;AAAA,QAChB,SAAa,IAAQ,EAAE,SAAS,IAAO,IAAQ,EAAE,SAAS,EAAE,aAAa;AAAA,QACzE,KAAS,IAAQ,EAAE,SAAS,IAAO,IAAQ,EAAE,SAAS,EAAE,iBAAiB,IAAI;AAAA,MAC/E;AAAA,IACF,SAAQ,GAAN;AAAA,IAAa;AACf,SAAK,KAAK,YAAY,OAAO,gBAAgB;AAC7C,SAAK,KAAK,UAAU,KAAK,SAAS,SAAS,MAAM;AACjD,QAAI,KAAK,KAAK,aAAa,KAAK,KAAK,SAAS;AAC5C,WAAK,KAAK,OAAO,MAAS,EAAI,EAAE,SAAS,uBAAuB;AAChE,WAAK,KAAK,cAAc,MAAS,EAAI,EAAE,SAAS,8BAA8B;AAAA,IAChF;AACA,UAAM,IAAU,OAAO,KAAK,GAAG;AAC/B,UAAMC,MAAK,IAAI,EAAE,WAAW,QAAQ,IAA8B;AAClE,SAAK,MAAM,YAAY,OAAOA,QAAO;AACrC,SAAK,MAAM,UAAU,KAAK,SAAS,SAAS,OAAO;AACnD,QAAI,KAAK,MAAM,aAAa,KAAK,MAAM,WAAWA,KAAI;AACpD,WAAK,MAAM,UAAUA,IAAG,aAAaA,IAAG,OAAO;AAC/C,WAAK,MAAM,SAASA,IAAG,aAAaA,IAAG,MAAM;AAC7C,WAAK,MAAM,WAAWA,IAAG,aAAaA,IAAG,QAAQ;AACjD,WAAK,MAAM,SAASA,IAAG,aAAaA,IAAG,wBAAwB;AAAA,IACjE;AACA,SAAK,OAAO,YAAY,KAAK,WAAW,OAAO,cAAc,eAAe,OAAO,UAAU,QAAQ;AACrG,SAAK,OAAO,UAAU,KAAK,SAAS,SAAS,QAAQ;AACrD,QAAI;AACF,UAAI,KAAK,OAAO,WAAW;AACzB,cAAM,UAAU,MAAM,UAAU,IAAI,eAAe;AACnD,aAAK,OAAO,UAAU,OAAM,mCAAS;AAAA,MACvC;AAAA,IACF,SAAQ,GAAN;AACA,WAAK,OAAO,YAAY;AAAA,IAC1B;AACA,QAAI;AACF,WAAK,UAAa,GAAwB,IAAW,CAAC,EAAE,IAAI,CAAC,WAAW,OAAO,WAAW,YAAY,CAAC;AAAA,IACzG,SAAQ,GAAN;AAAA,IAAa;AAAA,EACjB;AAAA;AAAA,EAGA,YAAY;AACV,UAAM,MAAM,EAAE,OAAO,IAAI,OAAO,CAAC,EAAE;AACnC,QAAI,KAAK,QAAQ,KAAK,SAAS,WAAW,OAAO,GAAG;AAAA,IAWpD;AACA,QAAI,CAAC,KAAK;AAAK,aAAO,eAAe,MAAM,OAAO,EAAE,OAAO,IAAI,CAAC;AAAA;AAC3D,WAAK,MAAM;AAAA,EAClB;AACF;AAjGE;AACA;AACA;AAiGK,IAAM,MAAM,IAAI,IAAI;;;AC/JpB,IAAM,SAAN,MAAa;AAAA,EAUlB,cAAc;AARd;AAAA;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA,mCAA6B,CAAC;AA2D9B,wBAAO,aAAY,YAAwC;AACzD,UAAI;AACF,cAAM,UAAU,MAAM,UAAU,aAAa,iBAAiB;AAC9D,aAAK,UAAU,QAAQ,OAAO,CAAC,WAAW,OAAO,SAAS,YAAY;AAAA,MACxE,SAAQ,GAAN;AACA,aAAK,UAAU,CAAC;AAAA,MAClB;AACA,aAAO,KAAK;AAAA,IACd;AAGA;AAAA,wBAAO,SAAQ,OAAO,iBAAwD;AAzGhF,UAAAC,KAAA;AA2GI,UAAI,6CAAc;AAAO,aAAK,OAAO,QAAQ,6CAAc;AAC3D,UAAI,6CAAc;AAAM,aAAK,OAAO,OAAO,6CAAc;AACzD,UAAI,6CAAc;AAAM,aAAK,OAAO,OAAO,6CAAc;AACzD,UAAI,6CAAc;AAAO,aAAK,OAAO,QAAQ,6CAAc;AAC3D,UAAI,6CAAc;AAAQ,aAAK,OAAO,SAAS,6CAAc;AAC7D,UAAI,6CAAc;AAAI,aAAK,OAAO,KAAK,6CAAc;AAGrD,UAAI,6CAAc,SAAS;AACzB,YAAI,OAAO,aAAa,YAAY,UAAU;AAC5C,gBAAM,KAAK,SAAS,eAAe,aAAa,OAAO;AACvD,cAAI,MAAM,cAAc,kBAAkB;AACxC,iBAAK,UAAU;AAAA,UACjB,OAAO;AACL,gBAAI,KAAK,OAAO;AAAO,kBAAI,UAAU,0BAA0B,aAAa,OAAO;AACnF;AAAA,UACF;AAAA,QACF,WAAW,aAAa,mBAAmB,kBAAkB;AAC3D,eAAK,UAAU,aAAa;AAAA,QAC9B,OAAO;AACL,cAAI,KAAK,OAAO;AAAO,gBAAI,UAAU,uBAAuB,aAAa,OAAO;AAChF;AAAA,QACF;AAAA,MACF,OAAO;AACL,aAAK,UAAU,SAAS,cAAc,OAAO;AAAA,MAC/C;AAGA,YAAM,uBAA+C;AAAA,QACnD,OAAO;AAAA,QACP,OAAO;AAAA,UACL,YAAY,KAAK,OAAO,SAAS,UAAU,SAAS;AAAA;AAAA,UAEpD,YAAY,KAAK,OAAO,OAAO,mBAAmB;AAAA,QACpD;AAAA,MACF;AACA,YAAIA,MAAA,KAAK,WAAL,gBAAAA,IAAa,SAAQ;AAAG,QAAC,qBAAqB,MAAgC,QAAQ,EAAE,OAAO,KAAK,OAAO,MAAM;AACrH,YAAI,UAAK,WAAL,mBAAa,UAAS;AAAG,QAAC,qBAAqB,MAAgC,SAAS,EAAE,OAAO,KAAK,OAAO,OAAO;AACxH,UAAI,KAAK,OAAO;AAAI,QAAC,qBAAqB,MAAkC,WAAW,KAAK,OAAO;AAGnG,WAAK,QAAQ,iBAAiB,QAAQ,MAAM;AAAE,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,MAAM;AAAA,MAAG,CAAC;AAC7F,WAAK,QAAQ,iBAAiB,SAAS,MAAM;AAAE,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,OAAO;AAAA,MAAG,CAAC;AAC/F,WAAK,QAAQ,iBAAiB,SAAS,YAAY;AACjD,YAAI,CAAC,KAAK,WAAW,CAAC,KAAK;AAAQ;AACnC,YAAI,KAAK,QAAQ;AAAQ,gBAAM,KAAK,QAAQ,KAAK;AAAA;AAC5C,eAAK,QAAQ,MAAM;AAAA,MAC1B,CAAC;AAGD,UAAI,EAAC,uCAAW,eAAc;AAC5B,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,YAAY;AACjD;AAAA,MACF;AACA,UAAI;AACF,aAAK,SAAS,MAAM,UAAU,aAAa,aAAa,oBAAoB;AAAA,MAC9E,SAAS,KAAP;AACA,YAAI,UAAU,GAAG;AACjB;AAAA,MACF;AACA,UAAI,CAAC,KAAK,QAAQ;AAChB,YAAI,KAAK,OAAO;AAAO,cAAI,UAAU,WAAW;AAChD;AAAA,MACF;AACA,WAAK,QAAQ,YAAY,KAAK;AAC9B,YAAM,QAAQ,IAAI,QAAQ,CAAC,YAAY;AACrC,YAAI,CAAC,KAAK;AAAS,kBAAQ,KAAK;AAAA;AAC3B,eAAK,QAAQ,eAAe,MAAM,QAAQ,IAAI;AAAA,MACrD,CAAC;AACD,YAAM;AACN,YAAM,KAAK,QAAQ,KAAK;AAExB,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,UAAU;AAAA,UACZ,OAAO,KAAK;AAAA,UACZ,QAAQ,KAAK;AAAA,UACb,OAAO,KAAK;AAAA,UACZ,QAAQ,KAAK;AAAA,UACb,OAAO,KAAK;AAAA,UACZ,UAAU,KAAK;AAAA,UACf,aAAa,KAAK;AAAA,UAClB,cAAc,KAAK;AAAA,QACrB,CAAC;AAAA,MACH;AAAA,IACF;AAGA;AAAA,wBAAO,SAAQ,MAAY;AACzB,UAAI,KAAK;AAAS,aAAK,QAAQ,MAAM;AAAA,IACvC;AAGA;AAAA,wBAAO,QAAO,YAA2B;AACvC,UAAI,KAAK;AAAS,cAAM,KAAK,QAAQ,KAAK;AAAA,IAC5C;AAGA;AAAA,wBAAO,QAAO,MAAY;AACxB,UAAI,KAAK,OAAO;AAAO,YAAI,UAAU,MAAM;AAC3C,UAAI,KAAK;AAAO,aAAK,MAAM,KAAK;AAAA,IAClC;AAzKE,SAAK,SAAS;AAAA,MACZ,SAAS;AAAA,MACT,OAAO;AAAA,MACP,MAAM;AAAA,MACN,MAAM;AAAA,MACN,OAAO;AAAA,MACP,QAAQ;AAAA,IACV;AAAA,EACF;AAAA;AAAA,EAGA,IAAW,QAAsC;AAC/C,QAAI,CAAC,KAAK;AAAQ,aAAO;AACzB,WAAO,KAAK,OAAO,eAAe,EAAE,CAAC;AAAA,EACvC;AAAA;AAAA,EAGA,IAAW,eAAmD;AAC5D,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM,kBAAkB,KAAK,MAAM,gBAAgB,IAAI;AAAA,EACrE;AAAA;AAAA,EAGA,IAAW,cAAiD;AAC1D,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM,iBAAiB,KAAK,MAAM,eAAe,IAAI;AAAA,EACnE;AAAA;AAAA,EAGA,IAAW,WAA2C;AACpD,QAAI,CAAC,KAAK;AAAQ,aAAO;AACzB,UAAM,QAA0B,KAAK,OAAO,eAAe,EAAE,CAAC;AAC9D,WAAO,MAAM,cAAc,MAAM,YAAY,IAAI;AAAA,EACnD;AAAA;AAAA,EAGA,IAAW,QAAgB;AACzB,QAAI,CAAC,KAAK;AAAO,aAAO;AACxB,WAAO,KAAK,MAAM;AAAA,EACpB;AAAA;AAAA,EAGA,IAAW,SAAkB;AAhF/B,QAAAA;AAiFI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,WAAU;AAAA,EACjC;AAAA;AAAA,EAGA,IAAW,QAAgB;AArF7B,QAAAA;AAsFI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,eAAc;AAAA,EACrC;AAAA;AAAA,EAGA,IAAW,SAAiB;AA1F9B,QAAAA;AA2FI,aAAOA,MAAA,KAAK,YAAL,gBAAAA,IAAc,gBAAe;AAAA,EACtC;AAoHF;;;AChNA;AAAA;AAAA,+BAAAC;AAAA,EAAA;AAAA,yBAAAC;AAAA,EAAA;AAAA;AAAA,0BAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA,4BAAAC;AAAA,EAAA,wBAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA,wBAAAC;AAAA,EAAA;AAAA;AAAA;AAAA,gCAAAC;AAAA,EAAA,+BAAAC;AAAA,EAAA,0BAAAC;AAAA,EAAA;AAAA;AAAA;AAAA,8BAAAC;AAAA,EAAA,kCAAAC;AAAA,EAAA,iCAAAC;AAAA,EAAA,kCAAAC;AAAA,EAAA;AAAA,wBAAAC;AAAA,EAAA;AAAA,mBAAAC;AAAA,EAAA,iBAAAC;AAAA,EAAA;AAAA,8BAAAC;AAAA,EAAA;AAAA,6BAAAC;AAAA,EAAA,2BAAAC;AAAA,EAAA,6BAAAC;AAAA,EAAA;AAAA;AAAA,uCAAAC;AAAA,EAAA,uCAAAC;AAAA,EAAA,uCAAAC;AAAA,EAAA,qCAAAC;AAAA,EAAA,qCAAAC;AAAA,EAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,6BAAAC;AAAA,EAAA,2BAAAC;AAAA,EAAA,yBAAAC;AAAA,EAAA;AAAA,qBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA,mBAAAC;AAAA,EAAA;AAAA;AAAA;AAAA;AACE,gBAAa;AACb,gBAAa;AACb,gBAAa;AACb,cAAW;AACX,eAAY;AACZ,cAAW;AACX,IAAAb,oBAAqB;AACrB,gBAAa;AACb,WAAQ;AACR,eAAY;AACZ,aAAU;AACV,IAAAO,oBAAqB;AACrB,IAAA3B,sBAAuB;AACvB,UAAO;AACP,IAAAE,iBAAkB;AAClB,IAAAC,kBAAmB;AACnB,IAAAC,qBAAsB;AACtB,IAAAC,iBAAkB;AAClB,IAAAC,kBAAmB;AACnB,IAAAC,iBAAkB;AAClB,oBAAiB;AACjB,gBAAa;AACb,IAAAK,2BAA4B;AAC5B,IAAAD,qBAAsB;AACtB,IAAAE,0BAA2B;AAC3B,IAAAC,2BAA4B;AAC5B,IAAAC,eAAgB;AAChB,IAAAC,UAAW;AACX,IAAAC,UAAW;AACX,WAAQ;AACR,IAAAC,qBAAsB;AACtB,aAAU;AACV,iBAAc;AACd,IAAAC,oBAAqB;AACrB,IAAAE,sBAAuB;AACvB,mBAAgB;AAChB,WAAQ;AACR,iBAAc;AACd,oBAAiB;AACjB,IAAAO,oBAAqB;AACrB,IAAAC,kBAAmB;AACnB,cAAW;AACX,cAAW;AACX,UAAO;AACP,aAAU;AACV,IAAA5B,gBAAiB;AACjB,IAAAO,uBAAwB;AACxB,IAAAC,wBAAyB;AACzB,IAAAC,mBAAoB;AACpB,IAAAY,8BAA+B;AAC/B,IAAAC,gCAAiC;AACjC,IAAAC,gCAAiC;AACjC,IAAAC,8BAA+B;AAC/B,IAAAC,8BAA+B;AAC/B,IAAAI,YAAa;AACb,IAAAC,YAAa;AACb,IAAAC,YAAa;AACb,IAAAC,YAAa;AA1Df;AAAA,EACE;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAb;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAO;AAAA,EACA,uBAAA3B;AAAA,EACA;AAAA,EACA,kBAAAE;AAAA,EACA,mBAAAC;AAAA,EACA,sBAAAC;AAAA,EACA,kBAAAC;AAAA,EACA,mBAAAC;AAAA,EACA,kBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA,4BAAAK;AAAA,EACA,sBAAAD;AAAA,EACA,2BAAAE;AAAA,EACA,4BAAAC;AAAA,EACA,gBAAAC;AAAA,EACA,WAAAC;AAAA,EACA,WAAAC;AAAA,EACA;AAAA,EACA,sBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAC;AAAA,EACA,uBAAAE;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,qBAAAO;AAAA,EACA,mBAAAC;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA,iBAAA5B;AAAA,EACA,wBAAAO;AAAA,EACA,yBAAAC;AAAA,EACA,oBAAAC;AAAA,EACA,+BAAAY;AAAA,EACA,iCAAAC;AAAA,EACA,iCAAAC;AAAA,EACA,+BAAAC;AAAA,EACA,+BAAAC;AAAA,EACA,aAAAI;AAAA,EACA,aAAAC;AAAA,EACA,aAAAC;AAAA,EACA,aAAAC;AACF;;;ACrDA,IAAM,UAAU;AAAA,EACd,aAAa;AAAA,EACb,gBAAgB;AAAA,EAChB,SAAS;AAAA,EACT,OAAO;AAAA,EACP,eAAe;AACjB;AAWO,IAAM,aAAwC,CAAC;AAEtD,eAAe,YAAY,KAAaC,OAA8C;AACpF,MAAI,QAAQ;AAAO,QAAI,qBAAqB,KAAKA,KAAI;AACrD,SAAO,MAAM,KAAKA,KAAI;AACxB;AAEO,SAAS,oBAAoBC,SAAgB;AAClD,UAAQ,cAAcA,QAAO;AAC7B,UAAQ,UAAUA,QAAO;AACzB,UAAQ,gBAAgBA,QAAO;AACjC;AAEA,eAAsB,UAAU,WAAoD;AApCpF,MAAAC,KAAA,IAAAC,KAAAC;AAqCE,MAAI,WAAW,KAAK,QAAQ,eAAe,aAAa,EAAE;AAC1D,MAAI,CAAC,SAAS,YAAY,EAAE,SAAS,OAAO;AAAG,gBAAY;AAC3D,QAAM,oBAAoB,SAAS,SAAS,GAAG,IAAI,SAAS,MAAM,GAAG,IAAI,SAAS,MAAM,IAAI;AAC5F,QAAM,iBAAiB,kBAAkB,kBAAkB,SAAS,CAAC,EAAE,QAAQ,SAAS,EAAE;AAC1F,QAAM,kBAAkB,iBAAiB;AACzC,aAAW,cAAc,IAAI;AAAA,IAC3B,MAAM;AAAA,IACN,kBAAkB;AAAA,IAClB,mBAAmB;AAAA,IACnB,aAAa,eAAW,cAAc;AAAA,IACtC,SAAS;AAAA,IACT,KAAK;AAAA,EACP;AACA,UAAQ,iBAAkB,OAAO,cAAc;AAC/C,MAAI,eAAe,CAAC;AACpB,MAAI;AACF,mBAAgB,QAAQ,kBAAkB,QAAQ,cAAe,MAAS,GAAG,WAAW,IAAI,CAAC;AAAA,EAC/F,SAAQ,GAAN;AACA,YAAQ,iBAAiB;AAAA,EAC3B;AACA,aAAW,cAAc,EAAE,UAAW,QAAQ,kBAAkB,QAAQ,eAAgB,OAAO,KAAK,YAAY,EAAE,SAAS,eAAe;AAC1I,aAAW,cAAc,EAAE,MAAM,WAAW,cAAc,EAAE,UAAU,kBAAkB;AACxF,QAAM,gBAAgB,OAAO,UAAU,cAAc,CAAC,IAAI,EAAE,WAAW,CAAC,KAAaJ,UAAuB,YAAY,KAAKA,KAAI,EAAE;AACnI,MAAIK,UAAoB,IAAO,GAAW,WAAW,cAAc,EAAE,KAAK,aAAa;AACvF,MAAI,SAAS;AACb,MAAI;AAEF,IAAAA,QAAM,cAAc;AACpB,QAAI,QAAQ;AAAO,UAAI,uBAAuBA,QAAM,SAAS,CAAC;AAAA,EAChE,SAAS,KAAP;AACA,QAAI,oCAAoC,UAAU,GAAG;AAAA,EACvD;AACA,MAAI;AAEF,UAAM,YAAY,QAAMH,MAAAG,QAAM,YAAN,gBAAAH,IAAe,WAAU;AACjD,eAAW,cAAc,EAAE,qBAAmB,4CAAW,eAAX,mBAAuB,eAAc;AACnF,QAAI;AAAW,MAAAG,QAAM,SAAS,SAAS;AAAA;AAClC,MAAAA,UAAQ,MAAS,GAAe,WAAW,cAAc,EAAE,UAAU,kBAAkB,UAAU,aAAa;AAEnH,eAAW,cAAc,EAAE,sBAAoBD,OAAAD,MAAAE,QAAM,cAAN,gBAAAF,IAAiB,eAAjB,gBAAAC,IAA6B,eAAc;AAC1F,QAAI,QAAQ;AAAS,UAAI,SAAS,EAAE,OAAO,gBAAgB,KAAKC,QAAM,UAAU,GAAG,OAAO,WAAW,cAAc,EAAE,kBAAkB,CAAC;AACxI,aAAS;AAAA,EACX,SAAS,KAAP;AACA,QAAI,wBAAwB,UAAU,GAAG;AAAA,EAC3C;AACA,MAAI,UAAU,QAAQ,eAAe,QAAQ,kBAAkB,CAAC,WAAW,cAAc,EAAE,SAAS;AAClG,QAAI;AACF,YAAM,aAAa,MAAMA,QAAM,KAAK,eAAe;AACnD,UAAI,QAAQ;AAAO,YAAI,gBAAgB,iBAAiB,UAAU;AAAA,IACpE,SAAS,KAAP;AACA,UAAI,uBAAuB,UAAU,GAAG;AAAA,IAC1C;AAAA,EACF;AACA,SAAOA;AACT;;;ACzFE,cAAW;;;ACMN,IAAMC,UAAS;AAAA,EACpB,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAQ;AAAA,EACR,IAAI;AAAA,EACJ,YAAY,CAAC;AAAA,EACb,WAAW;AAAA;AAAA,IACT,OAAO;AAAA,IACP,WAAW;AAAA,IACX,oBAAoB;AAAA,IACpB,uBAAuB;AAAA,IACvB,OAAO;AAAA,IACP,SAAS;AAAA,IACT,8BAA8B;AAAA;AAAA,IAC9B,gBAAgB;AAAA;AAAA,EAClB;AACF;AAEA,SAAS,aAAmB;AAK1B,QAAMC,MAAKD,QAAO;AAClB,MAAI,CAACC;AAAI;AACT,EAAAD,QAAO,aAAaC,IAAG,uBAAuB;AAEhD;AAOO,SAAS,SAAS,UAAuB;AA1ChD,MAAAC;AA4CE,MAAI,SAAS,OAAO,YAAY;AAAW;AAC3C,MAAKF,QAAO,QAAW,GAAO,EAAE,YAAa,GAACE,MAAAF,WAAA,gBAAAA,QAAQ,OAAR,gBAAAE,IAAY,aAAaF,QAAO,GAAG,WAAU;AACzF,QAAI,wCAAwC;AAC5C,aAAS,OAAO,MAAM;AAAA,EAMxB;AACA,MAAI,CAAI,IAAYA,QAAO,IAAI,GAAG;AAChC,QAAI;AACF,MAAAA,QAAO,SAAe,OAAO,KAAK,GAAG;AAAA,IACvC,SAAS,KAAP;AACA,UAAI,wCAAwC,GAAG;AAC/C;AAAA,IACF;AACA,QAAI;AACF,MAAAA,QAAO,KAAKA,QAAO,OAAO,WAAW,UAAUA,QAAO,SAAS;AAC/D,UAAI,CAACA,QAAO,IAAI;AACd,YAAI,yCAAyC;AAC7C;AAAA,MACF;AACA,YAAM,OAAOA,QAAO,GAAG,aAAaA,QAAO,GAAG,OAAO,EAAE,SAAS,KAAK;AACrE,UAAI,CAAC,MAAM;AACT,YAAI,6EAA6E;AACjF,iBAAS,OAAO,UAAU;AAC1B;AAAA,MACF;AACA,UAAIA,QAAO,QAAQ;AACjB,QAAAA,QAAO,OAAO,iBAAiB,oBAAoB,CAAC,MAAM;AACxD,cAAI,kBAAkB,EAAE,IAAI;AAC5B,cAAI,0FAA0F;AAC9F,mBAAS,KAAK,OAAO;AACrB,gBAAM,IAAI,MAAM,mCAAmC;AAAA,QACrD,CAAC;AACD,QAAAA,QAAO,OAAO,iBAAiB,wBAAwB,CAAC,MAAM;AAC5D,cAAI,oCAAoC,CAAC;AAAA,QAC3C,CAAC;AACD,QAAAA,QAAO,OAAO,iBAAiB,6BAA6B,CAAC,MAAM;AACjE,cAAI,kCAAkC,CAAC;AAAA,QACzC,CAAC;AAAA,MACH;AAAA,IACF,SAAS,KAAP;AACA,UAAI,4CAA4C,GAAG;AACnD;AAAA,IACF;AACA,QAAI;AACF,MAAG,GAAgB,GAAGA,QAAO,EAAE;AAAA,IACjC,SAAS,KAAP;AACA,UAAI,4CAA4C,GAAG;AACnD;AAAA,IACF;AACA,QAAI;AACF,YAAM,MAAM,IAAO,GAAaA,QAAO,EAAE;AAEzC,MAAG,GAAgBA,QAAO,MAAM,MAAM,IAAO,GAAiB,GAAG,GAAGA,QAAO,QAAQ;AAAA,IACrF,SAAS,KAAP;AACA,UAAI,iDAAiD,GAAG;AACxD;AAAA,IACF;AACA,QAAI;AACF,YAAM,UAAa,GAAqB,OAAO;AAC/C,cAAQ,QAAQ,CAAC,iBAAiB;AAChC,cAAM,kBAAkB,EAAE,GAAG,cAAc,aAAaA,QAAO,KAAK;AACpE,QAAG,GAAe,eAAe;AAAA,MACnC,CAAC;AAAA,IACH,SAAS,KAAP;AACA,UAAI,4DAA4D,GAAG;AACnE;AAAA,IACF;AACA,QAAI;AAEF,UAAO,EAAI,EAAE,aAAa;AAAe,QAAG,EAAI,EAAE,IAAI,iBAAiB,CAAC;AAAA,IAC1E,SAAS,KAAP;AACA,UAAI,kDAAkD,GAAG;AACzD;AAAA,IACF;AACA,eAAW;AACX,UAAM,UAAa,IAAQ;AAC3B,UAAM,UAAU,OAAO,QAAQ,OAAO,MAAM,cAAc,QAAQ,iBAAiB,EAAE,EAAE,KAAK;AAC5F,QAAI,SAAS;AACX,UAAI,SAAS,OAAO;AAAO,YAAI,+BAA+B,EAAE,OAAO,QAAQ,aAAa,QAAQ,OAAO,GAAa,UAAU,QAAQ,aAAa,QAAQ,QAAQ,EAAY,CAAC;AAAA,IACtL,OAAO;AACL,UAAI,yCAAyC,SAASA,QAAO,EAAE;AAAA,IACjE;AAAA,EACF;AACF;;;AChIO,IAAM,YAAwD;AAAA,EACnE,OAAO;AAAA,EACP,KAAK;AAAA,EACL,KAAK;AAAA,EACL,MAAM;AAAA,EACN,OAAO;AAAA,EACP,KAAK,CAAC,QAAQ,OAAQ,KAAM;AAC9B;AAEO,SAAS,OAAO;AACrB,YAAU,QAAW,GAAO,KAAO,SAAS;AAC5C,YAAU,MAAS,GAAO,GAAK,SAAS;AACxC,YAAU,MAAS,GAAO,GAAK,SAAS;AACxC,YAAU,OAAU,GAAO,KAAK,SAAS;AACzC,YAAU,QAAW,GAAO,OAAO,SAAS;AAC5C,YAAU,MAAS,GAAS,CAAC,QAAQ,OAAQ,KAAM,GAAG,SAAS;AACjE;;;ACTA,eAAsB,iBAAuC;AAV7D,MAAAG;AAWE,QAAM,IAAI,cAAc;AACxB,OAAIA,MAAA,IAAI,eAAJ,gBAAAA,IAAgB;AAAS,WAAO;AACpC,MAAI,IAAI,OAAO,aAAa,IAAI,OAAO;AAAS,WAAO;AACvD,MAAI,IAAI,MAAM,aAAa,IAAI,MAAM;AAAS,WAAO;AACrD,MAAI,IAAI,KAAK,aAAa,IAAI,KAAK;AAAS,WAAO;AACnD,SAAO;AACT;AAEA,SAAS,kBAAkBC,SAAgB;AACzC,QAAM,aAAuB,CAAC;AAC9B,MAAI,CAAC,IAAI,QAAQ,SAAS,KAAK,GAAG;AAChC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAACC,QAAU,GAAK,MAAS,GAAIA,IAAG,OAAO,GAAM,GAAO,GAAIA,IAAG,OAAO,GAAGA,IAAG,OAAO,CAAC,GAAGA,IAAG,OAAO,CAAC,CAAC,CAAC;AAAA,IAC9G;AACA,IAAG,GAAe,SAAS;AAC3B,QAAI,QAAQ,KAAK,KAAK;AACtB,eAAW,KAAK,KAAK;AAAA,EACvB;AACA,MAAI,CAAC,IAAI,QAAQ,SAAS,UAAU,GAAG;AACrC,UAAM,iBAAiB;AAAA,MACrB,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAACA,QAAU,GAAK,MAAS,GAAO,GAAO,GAASA,IAAG,OAAO,GAAGA,IAAG,OAAO,CAAC,GAAGA,IAAG,OAAO,CAAC,GAAM,GAAIA,IAAG,OAAO,GAAGA,IAAG,OAAO,CAAC,CAAC,CAAC;AAAA,IACxI;AACA,IAAG,GAAe,cAAc;AAChC,QAAI,QAAQ,KAAK,UAAU;AAC3B,eAAW,KAAK,UAAU;AAAA,EAC5B;AAqBA,MAAI,CAAC,IAAI,QAAQ,SAAS,kBAAkB,KAAKD,QAAO,iBAAiB;AACvE,UAAM,yBAAyB;AAAA,MAC7B,YAAY;AAAA,MACZ,aAAgB,IAAW;AAAA,MAC3B,YAAY,CAACC,QAAU,GAAK,MAAM;AAChC,cAAM,UAAa,IAAW;AAC9B,QAAG,IAAW,KAAK;AACnB,cAAMC,MAAO,GAAM,iBAAiBD,IAAG,OAAO,OAAOA,IAAG,MAAM,SAASA,IAAG,MAAM,WAAWA,IAAG,MAAM,MAAM;AAC1G,QAAG,IAAW,OAAO;AACrB,eAAOC;AAAA,MACT,CAAC;AAAA,IACH;AACA,IAAG,GAAe,sBAAsB;AACxC,QAAI,QAAQ,KAAK,kBAAkB;AACnC,eAAW,KAAK,kBAAkB;AAAA,EACpC;AACA,MAAK,WAAW,SAAS,KAAMF,QAAO;AAAO,QAAI,uBAAuB,UAAU;AACpF;AAEA,IAAI,eAAwC,CAAC;AAE7C,eAAsB,MAAM,UAAiB,QAAQ,OAAO;AAlF5D,MAAAD,KAAA;AAmFE,WAAS,QAAQ;AACjB,QAAIA,MAAA,SAAS,OAAO,YAAhB,gBAAAA,IAAyB,YAAW;AAAG,aAAS,OAAO,UAAU,MAAM,eAAe;AAC1F,MAAI,SAAS,IAAI,WAAY,SAAS,OAAO,WAAY,SAAS,OAAO,QAAQ,SAAS,KAAU,IAAW,MAAM,SAAS,OAAO,SAAW;AAC9I,UAAM,YAAY,IAAI;AAEtB,QAAI,SAAS,OAAO,WAAW,SAAS,OAAO,QAAQ,SAAS,GAAG;AAGjE,UAAI,OAAO,WAAW,eAAe,OAAO,sBAAsB,eAAe,SAAS,OAAO,OAAO;AACtG,YAAI,SAAS,OAAO;AAAO,cAAI,2BAA2B;AAAA,MAC5D;AAEA,UAAI,OAAO,cAAc,iBAAe,4CAAW,cAAX,mBAAsB,cAAc,SAAS,cAAa;AAChG,YAAI,SAAS,OAAO;AAAO,cAAI,yBAAyB;AAAA,MAC1D;AAGA,UAAI,YAAY,OAAO,KAAQ,GAAO,EAAE,eAA0C;AAClF,UAAI,SAAS,OAAO,YAAY,aAAa,CAAC,UAAU,SAAS,SAAS,GAAG;AAC3E,QAAQ,SAAS,QAAQ;AACzB,oBAAY,OAAO,KAAQ,GAAO,EAAE,eAA0C;AAAA,MAChF;AACA,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB,SAAS;AAG/D,UAAI,IAAI,WAAW,CAAC,IAAI,QAAS,SAAS,OAAO,YAAY,gBAAiB,UAAU,SAAS,OAAO,GAAG;AACzG,YAAI,SAAS,OAAO;AAAO,cAAI,8DAA8D;AAC7F,iBAAS,OAAO,UAAU;AAAA,MAC5B;AACA,UAAI,IAAI,QAAQ,CAAC,IAAI,YAAY,SAAS,OAAO,YAAY,WAAW,SAAS,OAAO,YAAY,cAAc,UAAU,SAAS,YAAY,GAAG;AAClJ,YAAI,SAAS,OAAO;AAAO,cAAI,4BAA4B,SAAS,OAAO,iCAAiC;AAC5G,iBAAS,OAAO,UAAU;AAAA,MAC5B;AAGA,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,UAAU;AACvD,YAAI,OAAO,cAAc,eAAe,OAAO,UAAU,QAAQ,aAAa;AAC5E,cAAI,qEAAqE;AACzE,mBAAS,OAAO,UAAU;AAAA,QAC5B,OAAO;AACL,gBAAM,UAAU,MAAM,UAAU,IAAI,eAAe;AACnD,cAAI,SAAS,OAAO;AAAO,gBAAI,8BAA8B,OAAO;AACpE,cAAI,CAAC,SAAS;AACZ,gBAAI,sEAAsE;AAC1E,qBAAS,OAAO,UAAU;AAAA,UAC5B,OAAO;AAEL,kBAAM,cAAc,wBAAwB,UAAU,MAAM,QAAQ,mBAAmB,IAAI;AAE3F,gBAAI,wBAAwB,WAAW;AAAA,UACzC;AAAA,QACF;AAAA,MACF;AAEA,UAAI,CAAC,UAAU,SAAS,SAAS,OAAO,OAAO,GAAG;AAChD,YAAI,kBAAkB,SAAS,OAAO,+BAA+B;AACrE,iBAAS,OAAO,UAAU,IAAI,OAAO,eAAe;AACpD,YAAI,SAAS,OAAO;AAAO,cAAI,6BAA6B,SAAS,OAAO,SAAS;AAAA,MACvF;AAEA,UAAI,SAAS,OAAO;AAAO,YAAI,oBAAoB,CAAC,SAAS,OAAO,OAAO,CAAC;AAG5E,UAAI,SAAS,OAAO,YAAY,QAAQ;AAEtC,YAAO,EAAI,EAAE,aAAa;AAA+B,UAAG,EAAI,EAAE,IAAI,iCAAiC,IAAI;AAC3G,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,SAAS,OAAO,QAAQ;AACrE,YAAI,OAAU,QAAiB;AAAa,UAAG,IAAa,SAAS,OAAO,UAAU,SAAS,OAAO,iBAAiB;AAAA;AAClH,gBAAM,IAAI,MAAM,wEAAwE;AAC7F,YAAI,KAAK;AACT,YAAI,OAAO;AACX,YAAI;AACF,eAAK,MAAS,EAAI,EAAE,SAAS,8BAA8B;AAC3D,iBAAO,MAAS,EAAI,EAAE,SAAS,uBAAuB;AACtD,cAAI,SAAS,OAAO;AAAO,gBAAI,mBAAmB,OAAO,SAAS,aAAa,KAAK,kBAAkB,kBAAkB;AACxH,cAAI,SAAS,OAAO,SAAS,CAAC;AAAM,gBAAI,2CAA2C;AAAA,QACrF,SAAQ,GAAN;AACA,cAAI,uBAAuB;AAAA,QAC7B;AAAA,MACF;AAEA,UAAI;AACF,cAAS,IAAW,SAAS,OAAO,OAAO;AAC3C,cAAS,IAAM;AAAA,MACjB,SAAS,KAAP;AACA,YAAI,8BAA8B,SAAS,OAAO,SAAS,GAAG;AAC9D,eAAO;AAAA,MACT;AAEA,UAAI,SAAS,OAAO;AAAO,uBAAe,KAAK,MAAM,KAAK,UAAa,EAAI,EAAE,KAAK,CAAC;AAAA,IACrF;AAGA,QAAO,IAAW,MAAM,aAAgB,IAAW,MAAM,SAAS;AAEhE,UAAO,EAAI,EAAE,aAAa;AAA2B,QAAG,EAAI,EAAE,IAAI,6BAA6B,IAAI;AAEnG,UAAO,EAAI,EAAE,aAAa;AAAgB,QAAG,EAAI,EAAE,IAAI,kBAAkB,IAAI;AAK7E,UAAI,SAAS,OAAO,SAAS,OAAO,SAAS,OAAO,eAAe,eAAe,SAAS,OAAO,YAAY;AAC5G,YAAI,mDAAmD,IAAI;AAC3D,QAAG,EAAI,EAAE,IAAI,kCAAkC,CAAC;AAAA,MAClD;AAAA,IACF;AAGA,QAAO,IAAW,MAAM,UAAU;AAAA,IAIlC;AAEA,QAAI,SAAS,OAAO,OAAO;AAEzB,YAAM,WAAc,EAAI,EAAE;AAC1B,YAAM,eAAe,CAAC;AACtB,iBAAW,OAAO,OAAO,KAAK,QAAQ,GAAG;AACvC,YAAI,aAAa,GAAG,MAAM,SAAS,GAAG;AAAG;AACzC,qBAAa,GAAG,IAAI,SAAS,GAAG;AAAA,MAClC;AACA,UAAI,SAAS,OAAO,SAAS,OAAO,KAAK,YAAY,EAAE,SAAS;AAAG,YAAI,YAAe,IAAW,GAAG,UAAU,YAAY;AAAA,IAC5H;AAEA,QAAI,SAAS,OAAO,SAAS,OAAO,KAAK,SAAS,OAAO,KAAK,EAAE,SAAS,GAAG;AAC1E,UAAI,SAAS,OAAO;AAAO,YAAI,UAAU,SAAS,OAAO,OAAO,CAAC;AACjE,iBAAW,CAAC,KAAK,GAAG,KAAK,OAAO,QAAQ,SAAS,OAAO,KAAK,GAAG;AAC9D,QAAG,EAAI,EAAE,IAAI,KAAK,GAAuB;AAAA,MAC3C;AAAA,IACF;AAEA,IAAG,IAAe;AAClB,IAAU,KAAK;AACf,aAAS,YAAY,cAAc,KAAK,MAAM,IAAI,IAAI,SAAS;AAC/D,aAAS,OAAO,UAAa,IAAW;AACxC,UAAM,IAAI,cAAc;AACxB,sBAAkB,SAAS,MAAM;AAAA,EAGnC;AACA,SAAO;AACT;AAGO,SAAS,QAAQ,aAAuBC,SAAQ;AAErD,aAAW,cAAc,aAAa;AACpC,UAAM,eAAe;AAAA,MACnB;AAAA,MACA,aAAaA,QAAO;AAAA,MACpB,YAAY,CAAC,UAAsB;AA3OzC,YAAAD;AA4OQ,YAAIC,QAAO;AAAO,cAAI,cAAc,YAAYA,QAAO,SAAS,KAAK;AACrE,gBAAOD,MAAA,+BAAO,WAAP,gBAAAA,IAAe;AAAA,MACxB;AAAA;AAAA;AAAA,IAGF;AACA,IAAG,GAAe,YAAY;AAAA,EAChC;AACA,MAAI,UAAa,GAAwB,IAAW,CAAC,EAAE,IAAI,CAAC,WAAW,OAAO,WAAW,YAAY,CAAC;AACxG;;;ACrPA;AAAA;AAAA;AAAA;AAAA,gBAAAI;AAAA,EAAA;AAAA;AAAA;AAAA,cAAAC;AAAA,EAAA;AAAA,iBAAAC;AAAA,EAAA;AAAA;;;ACKO,IAAM,mBAAmB,CAAC,UAAqB;AACpD,MAAI,CAAC;AAAO,QAAI,4BAA4B;AAAA,WACnC,CAAC,MAAM;AAAY,QAAI,wCAAwC;AAAA,OACnE;AACH,UAAM,MAAM,MAAM,WAAW,IAAI;AACjC,QAAI,CAAC;AAAK,UAAI,uCAAuC;AAAA;AAChD,aAAO;AAAA,EACd;AACA,SAAO;AACT;AAEO,IAAM,UAAU,CAAC,UAAkB,KAAK,MAAO,QAAQ,MAAO,KAAK,EAAE;AAErE,IAAM,UAAU,CAAC,KAAa,QAAgB,WAA4B,IAAI,QAAQ,QAAQ,OAAO,WAAW,WAAW,OAAO,QAAQ,CAAC,IAAI,MAAM;AAErJ,IAAM,aAAa,CAAC,GAAuB,QAA6B;AAC7E,MAAI,CAAC,IAAI,YAAY,OAAO,MAAM;AAAa,WAAO,IAAI;AAC1D,QAAMC,OAAM,kBAAkB,KAAK,CAAC,MAAO,IAAI,GAAI,MAAO,IAAI,GAAI,GAAG,CAAC;AACtE,SAAO,QAAQA,KAAI,CAAC,MAAMA,KAAI,CAAC,MAAMA,KAAI,CAAC,MAAM,IAAI;AACtD;AAEO,SAAS,OAAO,KAAmE,KAAa,QAAgB,QAAgBC,eAA2B;AAChK,QAAM,OAAiB,IAAI,QAAQ,WAAW,EAAE,EAAE,MAAM,IAAI,EAAE,IAAI,CAAC,MAAM,EAAE,KAAK,CAAC;AACjF,QAAM,IAAI,KAAK,IAAI,GAAG,MAAM;AAC5B,WAAS,IAAI,KAAK,SAAS,GAAG,KAAK,GAAG,KAAK;AACzC,UAAMC,KAAI,IAAID,cAAa,aAAa;AACxC,QAAIA,cAAa,eAAeA,cAAa,gBAAgB,IAAI;AAC/D,UAAI,YAAYA,cAAa;AAC7B,UAAI,SAAS,KAAK,CAAC,GAAG,IAAI,GAAGC,KAAI,EAAE;AAAA,IACrC;AACA,QAAI,YAAYD,cAAa;AAC7B,QAAI,SAAS,KAAK,CAAC,GAAG,IAAI,GAAGC,KAAI,EAAE;AAAA,EACrC;AACF;AAEO,SAAS,MAAM,KAAmE,GAAWA,IAAW,GAAuBD,eAA2B;AAC/J,MAAI,YAAY,WAAW,GAAGA,aAAY;AAC1C,MAAI,UAAU;AACd,MAAI,IAAI,GAAGC,IAAGD,cAAa,WAAW,GAAG,IAAI,KAAK,EAAE;AACpD,MAAI,KAAK;AACX;AAEO,SAAS,KAAK,KAAmE,GAAWC,IAAW,OAAe,QAAgBD,eAA2B;AACtK,MAAI,UAAU;AACd,MAAI,YAAYA,cAAa;AAC7B,MAAIA,cAAa,WAAW;AAC1B,UAAME,OAAM,IAAI,IAAI,SAAS;AAC7B,UAAMC,OAAMF,KAAIA,KAAI,UAAU;AAC9B,QAAI,QAAQC,KAAIC,KAAI,QAAQ,GAAG,SAAS,GAAG,GAAG,GAAG,IAAI,KAAK,EAAE;AAAA,EAC9D,OAAO;AACL,QAAI,OAAO,IAAIH,cAAa,WAAWC,EAAC;AACxC,QAAI,OAAO,IAAI,QAAQD,cAAa,WAAWC,EAAC;AAChD,QAAI,iBAAiB,IAAI,OAAOA,IAAG,IAAI,OAAOA,KAAID,cAAa,SAAS;AACxE,QAAI,OAAO,IAAI,OAAOC,KAAI,SAASD,cAAa,SAAS;AACzD,QAAI,iBAAiB,IAAI,OAAOC,KAAI,QAAQ,IAAI,QAAQD,cAAa,WAAWC,KAAI,MAAM;AAC1F,QAAI,OAAO,IAAID,cAAa,WAAWC,KAAI,MAAM;AACjD,QAAI,iBAAiB,GAAGA,KAAI,QAAQ,GAAGA,KAAI,SAASD,cAAa,SAAS;AAC1E,QAAI,OAAO,GAAGC,KAAID,cAAa,SAAS;AACxC,QAAI,iBAAiB,GAAGC,IAAG,IAAID,cAAa,WAAWC,EAAC;AACxD,QAAI,UAAU;AAAA,EAChB;AACA,MAAI,OAAO;AACb;AAEO,SAAS,MAAM,KAAmE,QAAiBD,eAA2B;AACnI,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,UAAU;AACd,MAAI,OAAO,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACrC,aAAWI,OAAM,QAAQ;AACvB,QAAI,cAAc,WAAWA,IAAG,CAAC,KAAK,GAAGJ,aAAY;AACrD,QAAI,OAAO,KAAK,MAAMI,IAAG,CAAC,CAAC,GAAG,KAAK,MAAMA,IAAG,CAAC,CAAC,CAAC;AAAA,EACjD;AACA,MAAI,OAAO;AACX,MAAIJ,cAAa,cAAc;AAC7B,QAAI,UAAU;AACd,QAAI,KAAK;AAAA,EACX;AACF;AAEO,SAAS,OAAO,KAAmE,QAAiBA,eAA2B;AACpI,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,YAAYA,cAAa;AAC7B,MAAI,CAACA,cAAa,aAAa,OAAO,UAAU,GAAG;AACjD,UAAM,KAAK,QAAQA,aAAY;AAC/B;AAAA,EACF;AACA,MAAI,OAAO,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACrC,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,GAAG,KAAK;AAC1C,UAAMK,OAAM,OAAO,CAAC,EAAE,CAAC,IAAI,OAAO,IAAI,CAAC,EAAE,CAAC,KAAK;AAC/C,UAAMC,OAAM,OAAO,CAAC,EAAE,CAAC,IAAI,OAAO,IAAI,CAAC,EAAE,CAAC,KAAK;AAC/C,QAAI,iBAAiB,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,GAAGD,KAAIC,GAAE;AAAA,EACzD;AACA,MAAI,iBAAiB,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,SAAS,CAAC,EAAE,CAAC,CAAC;AAC3I,MAAI,OAAO;AACX,MAAIN,cAAa,cAAc;AAC7B,QAAI,UAAU;AACd,QAAI,KAAK;AAAA,EACX;AACF;AAEO,SAAS,MAAM,KAAmE,MAAa,IAAW,SAAS,GAAG;AAC3H,MAAI;AACJ,MAAI;AACJ,MAAIC;AACJ,MAAI,UAAU;AACd,MAAI,OAAO,KAAK,CAAC,GAAG,KAAK,CAAC,CAAC;AAC3B,MAAI,OAAO,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AACvB,UAAQ,KAAK,MAAM,GAAG,CAAC,IAAI,KAAK,CAAC,GAAG,GAAG,CAAC,IAAI,KAAK,CAAC,CAAC;AACnD,MAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,EAAAA,KAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,MAAI,OAAO,GAAGA,EAAC;AACf,WAAU,IAAM,KAAQ,IAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,EAAAA,KAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,MAAI,OAAO,GAAGA,EAAC;AACf,WAAU,IAAM,KAAQ,IAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,EAAAA,KAAI,SAAS,KAAK,IAAI,KAAK,IAAI,GAAG,CAAC;AACnC,MAAI,OAAO,GAAGA,EAAC;AACf,MAAI,UAAU;AACd,MAAI,OAAO;AACX,MAAI,KAAK;AACX;;;ACnEO,IAAMM,WAAuB;AAAA,EAClC,OAAO;AAAA;AAAA,EACP,YAAY;AAAA;AAAA,EACZ,aAAa;AAAA,EACb,OAAO;AAAA,EACP,MAAM;AAAA,EACN,YAAY;AAAA,EACZ,WAAW;AAAA,EACX,WAAW;AAAA,EACX,WAAW;AAAA,EACX,YAAY;AAAA,EACZ,YAAY;AAAA,EACZ,WAAW;AAAA,EACX,eAAe;AAAA,EACf,cAAc;AAAA,EACd,cAAc;AAAA,EACd,UAAU;AAAA,EACV,cAAc;AAAA,EACd,UAAU;AAAA,EACV,WAAW;AAAA,EACX,YAAY;AAAA,EACZ,YAAY;AAAA,EACZ,gBAAgB;AAAA,EAChB,cAAc;AAAA,EACd,YAAY;AAAA,EACZ,cAAc;AAAA,EACd,eAAe;AACjB;;;AClFO,IAAM,kBAA4C;AAAA,EACvD,YAAY;AAAA,IACV;AAAA,IAAI;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IACtD;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IACvD;AAAA,IAAK;AAAA,IAAI;AAAA,IAAK;AAAA,IAAI;AAAA,IAAK;AAAA,IAAK;AAAA,IAAK;AAAA,IAAI;AAAA,IAAI;AAAA,IAAK;AAAA,IAAI;AAAA,EACpD;AAAA;AAAA;AAAA;AAAA;AAAA,EAKA,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,GAAG;AAAA,EACvD,gBAAgB,CAAC,IAAI,KAAK,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAClE,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EACxD,gBAAgB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjE,oBAAoB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrE,oBAAoB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EAC5D,oBAAoB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrE,oBAAoB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,GAAG;AAAA,EAC5D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAClD,gBAAgB,CAAC,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EACzD,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,IAAI,GAAG;AAAA;AAAA,EAC7C,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,GAAG;AAAA;AAAA,EACvD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAClD,gBAAgB,CAAC,KAAK,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAC3D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EAC5D,mBAAmB,CAAC,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,IAAI,GAAG;AAAA;AAAA,EACtD,mBAAmB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,EAAE;AAAA;AAAA,EAC3C,cAAc,CAAC,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA;AAAA,EACtC,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACjD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC3D,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACzD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EAC/C,aAAa,CAAC,KAAK,KAAK,KAAK,KAAK,GAAG;AAAA,EACrC,mBAAmB,CAAC,GAAG;AAAA,EACvB,SAAS,CAAC,CAAC;AAAA,EACX,YAAY,CAAC,CAAC;AAAA,EACd,iBAAiB,CAAC,EAAE;AAAA,EACpB,gBAAgB,CAAC,GAAG;AAAA,EACpB,YAAY,CAAC,GAAG;AAAA,EAChB,WAAW,CAAC,GAAG;AACjB;AAEO,IAAM,gBAAmD;AAAA,EAC9D,OAAO;AAAA,EACP,OAAO;AAAA,EACP,cAAc,CAAC,IAAI,gBAAgB,kBAAkB,CAAC,CAAC;AACzD;AAEO,IAAM,qBAAwD;AAAA,EACnE,SAAS;AAAA,EACT,UAAU;AAAA,EACV,MAAM;AAAA,EACN,OAAO;AAAA,EACP,SAAS;AAAA,EACT,UAAU;AAAA,EACV,cAAc,CAAC,GAAG,CAAC;AACrB;AAEO,IAAM,cAAoD;AAAA;AAAA,EAC/D,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EACzD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAC1D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAC1D,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,EAAE;AAAA;AAAA,EACzD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EAClE,EAAE,KAAK,gBAAgB,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAAA,EACjE,EAAE,KAAK,gBAAgB,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,EAAE,EAAE;AAAA;AAC3D;AAEO,IAAM,QAA4B;AAAA,EACvC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,gBAAgB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,gBAAgB;AAAA,EAClC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,gBAAgB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,gBAAgB,iBAAiB;AAAA,EAClC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,kBAAkB,iBAAiB;AAAA,EACpC,CAAC,iBAAiB,iBAAiB;AAAA,EACnC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AAAA,EACrC,CAAC,mBAAmB,iBAAiB;AACvC;AAEO,IAAM,SAAmB;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACtJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EACr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lJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACtJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EACnJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC7I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC7I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACnJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EACrJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACp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jJ;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACrJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC9I;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC/I;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAChJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAClJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACpJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EACjJ;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAG;AAwB1I,IAAM,QAAkB;AAAA;AAAA,EACjB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC/E;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC1C;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA;AAAA,EAChC;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACtD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EAChD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAC7C;AAEO,IAAM,QAAkB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,KAAK,KAAK,GAAG,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,KAAK,KAAK,IAAI,KAAK,GAAG;AAE7K,IAAM,OAAiB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI,GAAG;AAErD,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAEtC,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAEtC,IAAM,MAAM,KAAK,IAAI,CAAC,MAAM,MAAM,CAAC,CAAC;AAO3C,SAAS,qBAAqB,aAAwB;AACpD,QAAM,UAAU,YAAY,IAAI,CAAC,eAAe,WAAW,CAAC,CAAC;AAC7D,UAAQ,KAAK,YAAY,YAAY,SAAS,CAAC,EAAE,CAAC,CAAC;AACnD,SAAO;AACT;AAEO,IAAM,YAAuB;AAAA,EACl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eAA0B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE/N,IAAM,mBAA8B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEnI,IAAM,gBAA2B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEhF,IAAM,gBAA2B,CAAC,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE1N,IAAM,oBAA+B,CAAC,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,IAAI,GAAG,CAAC;AAEvH,IAAM,iBAA4B,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEjF,IAAM,mBAA8B;AAAA,EACzC,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACpE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACrE,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACjE,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAChE;AAEO,IAAM,mBAAmB;AAAA,EAC9B,MAAM,qBAAqB,SAAS;AAAA,EACpC,SAAS,qBAAqB,YAAY;AAAA,EAC1C,aAAa,qBAAqB,gBAAgB;AAAA,EAClD,UAAU,qBAAqB,aAAa;AAAA,EAC5C,UAAU,qBAAqB,aAAa;AAAA,EAC5C,cAAc,qBAAqB,iBAAiB;AAAA,EACpD,WAAW,qBAAqB,cAAc;AAAA,EAC9C,UAAU,qBAAqB,gBAAgB;AACjD;;;AC/sBA,IAAM,mBAA8B;AAAA,EACl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uBAAkC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEvO,IAAM,2BAAsC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAE3I,IAAM,wBAAmC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAExF,IAAM,wBAAmC,CAAC,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAElO,IAAM,4BAAuC,CAAC,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,GAAG,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,IAAI,GAAG,CAAC;AAE/H,IAAM,yBAAoC,CAAC,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,GAAG,CAAC,KAAK,GAAG,CAAC;AAEzF,IAAM,wBAAmC;AAAA,EACvC,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EACpN,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAAA,EAAG,CAAC,IAAI,GAAG;AAAA,EAAG,CAAC,KAAK,EAAE;AAC5M;AAmJA,SAASC,sBAAqB,aAAwB;AACpD,QAAM,UAAU,YAAY,IAAI,CAAC,eAAe,WAAW,CAAC,CAAC;AAC7D,UAAQ,KAAK,YAAY,YAAY,SAAS,CAAC,EAAE,CAAC,CAAC;AACnD,SAAO;AACT;AAEO,IAAM,2CAA2C;AAAA,EACtD,MAAMA,sBAAqB,gBAAgB;AAAA,EAC3C,SAASA,sBAAqB,oBAAoB;AAAA,EAClD,aAAaA,sBAAqB,wBAAwB;AAAA,EAC1D,UAAUA,sBAAqB,qBAAqB;AAAA,EACpD,UAAUA,sBAAqB,qBAAqB;AAAA,EACpD,cAAcA,sBAAqB,yBAAyB;AAAA,EAC5D,WAAWA,sBAAqB,sBAAsB;AAAA,EACtD,UAAUA,sBAAqB,qBAAqB;AACtD;AAEA,IAAM,kBAAsC,OAAO,QAAQ,wCAAwC,EAChG,IAAI,CAAC,CAAC,OAAO,OAAO,MAAM,QAAQ,IAAI,CAACC,WAAU,CAACA,QAAO,KAAK,CAAqB,CAAC,EACpF,KAAK;AAED,IAAM,gCAAgC,IAAI,IAAI,eAAe;AAQ7D,IAAM,mCAAmC;AAAA,EAC9C;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACnC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACpC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACpC;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC7C;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AACtC;AAEO,IAAM,uCAAuC;AAAA,EAClD;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACrC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA;AAAA,EACnC;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EACzB;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACvC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA;AAAA,EACrB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA;AACjC;AAEO,IAAM,wCAAwC;AAAA,EACnD;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EAC9B;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACzB;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AAAA,EACxC;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA;AACrC;;;AClOA,IAAI;AAEJ,SAAS,WAAW,GAAe,KAAmE;AAVtG,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC;AAWE,MAAI,CAAC,aAAa,gBAAeN,MAAA,aAAa,eAAb,gBAAAA,IAAyB,YAAW;AAAI;AACzE,MAAI,IAAI,aAAa,WAAW,MAAM;AACtC,MAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,MAAI,EAAE;AAAO,QAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACpD,MAAI,EAAE;AAAQ,QAAI,QAAQ,GAAG,YAAY,EAAE,MAAM;AACjD,MAAI,EAAE;AAAa,QAAI,QAAQ,GAAG,iBAAiB,MAAM,EAAE,WAAW;AACtE,MAAI,EAAE;AAAK,QAAI,QAAQ,GAAG,SAAS,EAAE,GAAG;AACxC,MAAI,EAAE;AAAU,QAAI,QAAQ,GAAG,cAAc,MAAM,EAAE,QAAQ;AAC7D,MAAI,EAAE;AAAM,QAAI,QAAQ,GAAG,UAAU,MAAM,EAAE,IAAI;AACjD,MAAI,EAAE;AAAM,QAAI,QAAQ,GAAG,UAAU,MAAM,EAAE,IAAI;AACjD,MAAI,EAAE,WAAW,EAAE,QAAQ,SAAS,GAAG;AACrC,UAAMO,WAAU,EAAE,QAAQ,IAAI,CAAC,MAAM,GAAG,KAAK,MAAM,MAAM,EAAE,KAAK,MAAM,EAAE,SAAS;AACjF,QAAIA,SAAQ,SAAS;AAAG,MAAAA,SAAQ,SAAS;AACzC,QAAI,QAAQ,GAAG,cAAcA,SAAQ,KAAK,GAAG,CAAC;AAAA,EAChD;AACA,OAAIN,OAAA,OAAE,aAAF,mBAAY,UAAZ,gBAAAA,IAAmB;AAAM,QAAI,QAAQ,GAAG,UAAU,QAAQ,EAAE,SAAS,MAAM,IAAI,CAAC;AACpF,OAAI,MAAAC,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAZ,mBAAmB;AAAK,QAAI,QAAQ,GAAG,SAAS,QAAQ,EAAE,SAAS,MAAM,GAAG,CAAC;AACjF,OAAIE,OAAAD,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAZ,gBAAAC,IAAmB;AAAO,QAAI,QAAQ,GAAG,WAAW,QAAQ,EAAE,SAAS,MAAM,KAAK,CAAC;AACvF,OAAIE,OAAAD,MAAA,EAAE,aAAF,gBAAAA,IAAY,SAAZ,gBAAAC,IAAkB;AAAS,QAAI,QAAQ,GAAG,UAAU,QAAQ,EAAE,SAAS,KAAK,OAAO,CAAC;AACxF,SAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,YAAY;AACjD;AAEA,SAAS,eAAe,GAAe,KAAmE;AAjC1G,MAAAN,KAAA,IAAAC,KAAAC;AAmCE,QAAIF,MAAA,EAAE,gBAAF,gBAAAA,IAAe,kBAAe,OAAE,gBAAF,mBAAe,YAAY,KAAI;AAC/D,QAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,QAAI,UAAU;AACd,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI;AAC5F,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI;AAC5F,QAAI,QAAQ,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK,EAAE;AAC7G,QAAI,OAAO;AACX,QAAI,aAAa,cAAc;AAC7B,UAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,UAAI,KAAK;AAAA,IACX;AAAA,EACF;AACA,QAAIC,MAAA,EAAE,gBAAF,gBAAAA,IAAe,mBAAgBC,MAAA,EAAE,gBAAF,gBAAAA,IAAe,aAAa,KAAI;AACjE,QAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,QAAI,UAAU;AACd,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI;AAC9F,UAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI;AAC9F,QAAI,QAAQ,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK,EAAE;AAC/G,QAAI,OAAO;AACX,QAAI,aAAa,cAAc;AAC7B,UAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,UAAI,KAAK;AAAA,IACX;AAAA,EACF;AACF;AAEA,SAAS,gBAAgB,GAAe,KAAmE;AA7D3G,MAAAF;AA8DE,MAAI,aAAa,cAAYA,MAAA,EAAE,aAAF,gBAAAA,IAAY,UAAS,OAAO,WAAW,aAAa;AAC/E,QAAI,cAAc;AAClB,UAAM,OAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,IAAM,EAAE,IAAI,CAAC,IAAI,QAAQ,EAAE,SAAS,MAAM,GAAG,IAAI;AACrF,UAAM,OAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,IAAM,EAAE,IAAI,CAAC,IAAI,QAAQ,EAAE,SAAS,MAAM,KAAK,IAAI;AACvF,UAAM,QAAQ,IAAI,OAAO;AAAA,UACnB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,KAAK,EAAE,IAAI,CAAC;AAAA;AAAA,UAElC,QAAQ,EAAE,IAAI,CAAC;AAAA,UACf,QAAQ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC;AAAA,UAC1B,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC;AAAA,KAClD;AACD,UAAM,QAAQ,IAAI,OAAO;AAAA,UACnB,EAAE,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI;AAAA;AAAA,UAElC,EAAE,IAAI,CAAC,KAAK;AAAA,UACZ,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK;AAAA,UACvB,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK,EAAE,IAAI,CAAC,IAAI,EAAE,IAAI,CAAC,IAAI;AAAA,KAClD;AACD,QAAI,OAAO,KAAK;AAChB,QAAI,OAAO,KAAK;AAAA,EAClB;AACF;AAEA,SAAS,eAAe,GAAe,KAAmE;AArF1G,MAAAA;AAsFE,MAAI,aAAa,cAAYA,MAAA,EAAE,aAAF,gBAAAA,IAAY,KAAK,aAAY,EAAE,SAAS,KAAK,WAAW,EAAE,YAAY,eAAe,EAAE,YAAY,gBAAgB,EAAE,YAAY,YAAY,CAAC,KAAK,EAAE,YAAY,aAAa,CAAC,GAAG;AAC7M,QAAI,cAAc;AAClB,QAAI,YAAY;AAChB,UAAM,WAAW;AAAA,MACf,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,MACzG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,IAC3G;AACA,UAAM,KAAK,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,SAAS,CAAC,GAAG,SAAS,CAAC,CAAC,GAAG,CAAC;AAC5G,UAAM,YAAY;AAAA,MAChB,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,MAC1G,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAK,KAAK,IAAI,EAAE,SAAS,KAAK,OAAO,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI,CAAC;AAAA,IAC5G;AACA,UAAM,KAAK,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,GAAG,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,UAAU,CAAC,GAAG,UAAU,CAAC,CAAC,GAAG,CAAC;AAAA,EAClH;AACF;AAEA,SAAS,iBAAiB,GAAe,KAAmE;AAC1G,MAAI,aAAa,gBAAgB,EAAE,KAAK,UAAU,KAAK;AACrD,QAAI,YAAY;AAChB,aAAS,IAAI,GAAG,IAAI,OAAc,SAAS,GAAG,KAAK;AACjD,YAAM,SAAS,CAAC,OAAc,IAAI,IAAI,CAAC,GAAG,OAAc,IAAI,IAAI,CAAC,GAAG,OAAc,IAAI,IAAI,CAAC,CAAC,EAAE,IAAI,CAACQ,WAAU,EAAE,KAAKA,MAAK,CAAC;AAC1H,YAAM,KAAK,QAAQ,YAAY;AAAA,IACjC;AACA,mBAAe,GAAG,GAAG;AAAA,EACvB;AAQF;AAEA,SAAS,eAAe,GAAe,KAAmE;AACxG,MAAI,aAAa,YAAY;AAC3B,SAAI,uBAAG,KAAK,WAAU,KAAK;AACzB,eAAS,IAAI,GAAG,IAAI,EAAE,KAAK,QAAQ,KAAK;AACtC,cAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,YAAY;AACjE,YAAI,aAAa,eAAe;AAC9B,cAAsB,iCAAiC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AACvJ,cAAsB,qCAAqC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AAC3J,cAAsB,sCAAsC,SAAS,CAAC;AAAG,kBAAM,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,GAAG,EAAE,KAAK,CAAC,EAAE,CAAC,GAAI,EAAE,KAAK,CAAC,EAAE,CAAC,IAAe,KAAK,YAAY;AAAA,QAC9J;AAAA,MACF;AAAA,IACF,OAAO;AACL,iBAAW,CAAC,GAAGC,EAAC,KAAK,OAAO,SAAQ,uBAAG,gBAAe,CAAC,CAAC,GAAG;AACzD,YAAI,EAACA,MAAA,gBAAAA,GAAI;AAAI;AACb,cAAMC,MAAKD,GAAE,CAAC;AACd,cAAM,KAAKC,IAAG,CAAC,GAAGA,IAAG,CAAC,GAAG,GAAG,YAAY;AACxC,YAAI,aAAa;AAAY,iBAAO,KAAK,GAAGA,IAAG,CAAC,GAAGA,IAAG,CAAC,GAAG,YAAY;AAAA,MACxE;AAAA,IACF;AAAA,EACF;AACF;AAEA,SAAS,cAAc,GAAe,KAAK;AACzC,MAAI,aAAa,WAAW;AAC1B,SAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,YAAY;AAAA,EAChE;AACF;AAGO,SAAS,KAAKC,WAAqB,QAAsB,aAAoC;AAClG,iBAAe,UAAUC,UAAS,WAAW;AAC7C,MAAI,CAAC,UAAU,CAACD;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,OAAO,aAAa;AACxB,MAAI,cAAc,aAAa;AAC/B,MAAI,YAAY,aAAa;AAC7B,aAAW,KAAK,QAAQ;AACtB,kBAAc,GAAG,GAAG;AACpB,eAAW,GAAG,GAAG;AACjB,QAAI,EAAE,QAAQ,EAAE,KAAK,SAAS,GAAG;AAC/B,qBAAe,GAAG,GAAG;AACrB,uBAAiB,GAAG,GAAG;AACvB,sBAAgB,GAAG,GAAG;AACtB,qBAAe,GAAG,GAAG;AAAA,IACvB;AAAA,EACF;AACF;;;AChKO,SAAS,KAAKE,WAAqB,QAAsB,aAAoC;AAPpG,MAAAC,KAAA;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,cAAcE,cAAa;AAC/B,QAAI,YAAYA,cAAa;AAC7B,QAAI,YAAYA,cAAa;AAC7B,QAAI,OAAOA,cAAa;AACxB,QAAIA,cAAa,aAAa,OAAO,CAAC,EAAE,OAAO,OAAO,CAAC,EAAE,IAAI,WAAW,GAAG;AACzE,WAAK,KAAK,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9F,UAAIA,cAAa,gBAAeD,MAAAC,cAAa,eAAb,gBAAAD,IAAyB,UAAS,GAAI;AACpE,YAAI,IAAIC,cAAa,WAAW,MAAM;AACtC,YAAI,QAAQ,GAAG,QAAQ,OAAO,CAAC,EAAE,GAAG,QAAQ,CAAC,CAAC;AAC9C,YAAI,QAAQ,GAAG,WAAW,MAAM,OAAO,CAAC,EAAE,KAAK;AAC/C,eAAO,KAAK,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjE;AAAA,IACF;AACA,QAAIA,cAAa,cAAc,OAAO,CAAC,EAAE,WAAW;AAClD,eAASE,MAAK,GAAGA,MAAK,OAAO,CAAC,EAAE,UAAU,QAAQA,OAAM;AACtD,YAAI,CAAC,OAAO,CAAC,EAAE,UAAUA,GAAE,EAAE,SAAU,OAAO,CAAC,EAAE,UAAUA,GAAE,EAAE,UAAU;AAAI;AAC7E,YAAI,YAAY,WAAW,OAAO,CAAC,EAAE,UAAUA,GAAE,EAAE,SAAS,CAAC,GAAGF,aAAY;AAC5E,cAAM,KAAK,OAAO,CAAC,EAAE,UAAUE,GAAE,EAAE,SAAS,CAAC,GAAG,OAAO,CAAC,EAAE,UAAUA,GAAE,EAAE,SAAS,CAAC,GAAG,GAAGF,aAAY;AAAA,MACtG;AAAA,IACF;AACA,QAAIA,cAAa,gBAAe,KAAAA,cAAa,mBAAb,mBAA6B,UAAS,KAAM,OAAO,CAAC,EAAE,WAAW;AAC/F,UAAI,OAAOA,cAAa;AACxB,iBAAWE,OAAM,OAAO,CAAC,EAAE,WAAW;AACpC,YAAI,CAACA,IAAG,SAAUA,IAAG,UAAU;AAAI;AACnC,YAAI,IAAIF,cAAa,eAAe,MAAM;AAC1C,YAAI,QAAQ,GAAG,WAAWE,IAAG,IAAI;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAMA,IAAG,KAAK;AACxC,eAAO,KAAK,GAAGA,IAAG,SAAS,CAAC,GAAGA,IAAG,SAAS,CAAC,GAAGF,aAAY;AAAA,MAC7D;AAAA,IACF;AACA,QAAIA,cAAa,gBAAgB,OAAO,CAAC,EAAE,aAAa,OAAO,CAAC,EAAE,aAAa;AAC7E,iBAAW,QAAQ,OAAO,OAAO,OAAO,CAAC,EAAE,WAAW,GAAG;AACvD,mBAAWG,cAAa;AAAM,iBAAO,KAAKA,YAAWH,aAAY;AAAA,MACnE;AAAA,IACF;AAAA,EACF;AACF;;;AC3CO,SAAS,KAAKI,WAAqB,QAAsB,aAAoC;AAPpG,MAAAC,KAAA;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOE,cAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9D,UAAIA,cAAa,gBAAeD,MAAAC,cAAa,eAAb,gBAAAD,IAAyB,UAAS,GAAI;AACpE,YAAI,IAAIC,cAAa,WAAW,MAAM;AACtC,YAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,YAAI,QAAQ,GAAG,WAAW,EAAE,KAAK;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACvC,eAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjD;AACA,UAAI,OAAO;AAAA,IACb;AACA,QAAIA,cAAa,YAAY;AAC3B,UAAI,EAAE,aAAa,EAAE,UAAU,SAAS,GAAG;AACzC,mBAAWE,OAAM,EAAE,WAAW;AAC5B,cAAI,YAAY,WAAWA,IAAG,CAAC,GAAGF,aAAY;AAC9C,gBAAM,KAAKE,IAAG,CAAC,GAAGA,IAAG,CAAC,GAAG,GAAGF,aAAY;AAAA,QAC1C;AAAA,MACF;AAAA,IACF;AACA,QAAIA,cAAa,cAAc,EAAE,iBAAgB,KAAAA,cAAa,iBAAb,mBAA2B,UAAS,GAAI;AACvF,iBAAW,CAAC,MAAME,GAAE,KAAK,OAAO,QAAQ,EAAE,WAAW,GAAG;AACtD,YAAI,IAAIF,cAAa,aAAa,MAAM;AACxC,YAAI,QAAQ,GAAG,WAAW,IAAI;AAC9B,eAAO,KAAK,GAAGE,IAAGA,IAAG,SAAS,CAAC,EAAE,CAAC,GAAGA,IAAGA,IAAG,SAAS,CAAC,EAAE,CAAC,GAAGF,aAAY;AAAA,MACzE;AAAA,IACF;AACA,QAAIA,cAAa,gBAAgB,EAAE,aAAa;AAC9C,YAAM,cAAc,CAAC,SAAkB;AACrC,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK,CAAC;AAAG;AAC5C,iBAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,cAAI,UAAU;AACd,gBAAM,IAAI,KAAK,CAAC,EAAE,CAAC,KAAK;AACxB,cAAI,cAAc,WAAW,IAAI,GAAGA,aAAY;AAChD,cAAI,OAAO,KAAK,IAAI,IAAI,IAAI,IAAI,CAAC,EAAE,CAAC,GAAG,KAAK,IAAI,IAAI,IAAI,IAAI,CAAC,EAAE,CAAC,CAAC;AACjE,cAAI,OAAO,KAAK,CAAC,EAAE,CAAC,GAAG,KAAK,CAAC,EAAE,CAAC,CAAC;AACjC,cAAI,OAAO;AAAA,QACb;AAAA,MACF;AACA,UAAI,YAAYA,cAAa;AAC7B,kBAAY,EAAE,YAAY,KAAK;AAC/B,kBAAY,EAAE,YAAY,MAAM;AAChC,kBAAY,EAAE,YAAY,IAAI;AAC9B,kBAAY,EAAE,YAAY,KAAK;AAC/B,kBAAY,EAAE,YAAY,KAAK;AAAA,IAEjC;AAAA,EACF;AACF;;;ACzDO,SAAS,OAAOG,WAAqB,QAAwB,aAAoC;AAPxG,MAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOE,cAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9D,UAAIA,cAAa,gBAAeD,MAAAC,cAAa,iBAAb,gBAAAD,IAA2B,UAAS,GAAI;AACtE,YAAI,IAAIC,cAAa,aAAa,MAAM;AACxC,YAAI,QAAQ,GAAG,QAAQ,EAAE,GAAG,QAAQ,CAAC,CAAC;AACtC,YAAI,QAAQ,GAAG,WAAW,EAAE,KAAK;AACjC,YAAI,QAAQ,GAAG,WAAW,MAAM,EAAE,KAAK;AACvC,eAAO,KAAK,GAAG,EAAE,IAAI,CAAC,GAAG,EAAE,IAAI,CAAC,GAAGA,aAAY;AAAA,MACjD;AACA,UAAI,OAAO;AAAA,IACb;AAAA,EACF;AACF;;;ACtBO,SAAS,QAAQE,WAAqB,QAAyB,aAAoC;AAP1G,MAAAC;AAQE,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACH;AAAU;AAC1B,MAAIE,cAAa,kBAAiBD,MAAAC,cAAa,kBAAb,gBAAAD,IAA4B,UAAS,GAAI;AACzE,UAAM,MAAM,iBAAiBD,SAAQ;AACrC,QAAI,CAAC;AAAK;AACV,QAAI,OAAOE,cAAa;AACxB,QAAI,YAAYA,cAAa;AAC7B,QAAI,IAAI;AACR,aAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,YAAM,CAAC,OAAO,IAAI,IAAI,OAAO,QAAQ,OAAO,CAAC,CAAC;AAC9C,UAAK,KAAK,SAAS,KAAQ,KAAK,CAAC,EAAa,SAAS,GAAI;AACzD,cAAM,MAAM,MAAM,CAAC,IAAc,IAAI,IAAI,MAAM,CAAC,MAAM;AACtD,YAAI,IAAIA,cAAa,cAAc,MAAM;AACzC,YAAI,QAAQ,GAAG,WAAW,MAAM,CAAC,CAAC;AAClC,YAAI,QAAQ,GAAG,SAAS,GAAG;AAC3B,YAAI,QAAQ,GAAG,UAAU,KAAK,CAAC,CAAC;AAChC,eAAO,KAAK,GAAG,GAAG,IAAK,IAAIA,cAAa,YAAaA,aAAY;AACjE,aAAK;AAAA,MACP;AAAA,IACF;AAAA,EACF;AACF;;;AC7BO,IAAM,gBAAgB;AAAA,EAC3B,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAUN,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAQ;AAAA,EACR,MAAM;AAAA,EACN,QAAQ;AAAA,EACR,SAAS;AACX;;;AVAA,IAAI,WAAW;AAUR,SAAS,OAAOE,WAAqB,QAAwB,aAAoC;AACtG,QAAMC,gBAA4B,UAAUC,UAAS,WAAW;AAChE,MAAI,CAAC,UAAU,CAACF;AAAU;AAC1B,QAAM,MAAM,iBAAiBA,SAAQ;AACrC,MAAI,CAAC;AAAK;AACV,MAAI,WAAW;AACf,MAAI,OAAOC,cAAa;AAExB,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAIA,cAAa,WAAW;AAC1B,UAAI,cAAcA,cAAa;AAC/B,UAAI,YAAYA,cAAa;AAC7B,WAAK,KAAK,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,EAAE,IAAI,CAAC,GAAGA,aAAY;AAC9F,UAAIA,cAAa,YAAY;AAC3B,cAAM,QAAQ,WAAW;AACzB,YAAIA,cAAa,eAAeA,cAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAYA,cAAa;AAC7B,cAAI,SAAS,OAAO,OAAO,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,IAAI,CAAC,IAAIA,cAAa,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,QAC5G;AACA,YAAI,YAAYA,cAAa;AAC7B,YAAI,SAAS,OAAO,OAAO,CAAC,EAAE,IAAI,CAAC,IAAI,GAAG,IAAI,OAAO,CAAC,EAAE,IAAI,CAAC,IAAIA,cAAa,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,CAAC;AAAA,MAC5G;AACA,UAAI,OAAO;AAAA,IACb;AAAA,EACF;AACF;AAGO,SAASE,QAAO,OAAwD,QAAmB;AAChG,MAAI,CAAC,SAAS,CAAC;AAAQ;AACvB,QAAM,MAAM,iBAAiB,MAAM;AACnC,MAAI,CAAC;AAAK;AACV,MAAI,UAAU,OAAO,GAAG,CAAC;AAC3B;AAGA,eAAsB,IAAIH,WAAqB,QAAgB,aAAoC;AACjG,MAAI,EAAC,iCAAQ,gBAAe,CAACA;AAAU,WAAO;AAC9C,QAAM,YAAY,IAAI;AACtB,QAAMC,gBAAe,UAAUC,UAAS,WAAW;AACnD,QAAM,UAAU,QAAQ,IAAI;AAAA,IAC1B,KAAKF,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,KAAKD,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,KAAKD,WAAU,OAAO,MAAMC,aAAY;AAAA,IACxC,OAAOD,WAAU,OAAO,QAAQC,aAAY;AAAA,IAC5C,QAAQD,WAAU,OAAO,SAASC,aAAY;AAAA;AAAA;AAAA,EAEhD,CAAC;AACD,aAAW,IAAI,UAAU,WAAW,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAChG,SAAO,YAAY,OAAO;AAC1B,SAAO;AACT;AAGO,SAASG,QAAO;AACrB,EAAAF,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,iBAAiB,cAAc;AACvC,EAAAA,SAAQ,aAAa,cAAc;AACnC,EAAAA,SAAQ,eAAe,cAAc;AACrC,EAAAA,SAAQ,eAAe,cAAc;AACrC,EAAAA,SAAQ,gBAAgB,cAAc;AACxC;;;AWzFA;AAAA;AAAA;AAAA;AAAA;AAEO,IAAM,MAAgB;AAAA,EAC3B;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AAAA,EACA;AAAA;AACF;AAEO,IAAM,YAAsC;AAAA,EACjD,WAAW,CAAC,gBAAgB,eAAe;AAAA,EAC3C,MAAM,CAAC,YAAY,SAAS;AAAA,EAC5B,OAAO,CAAC,aAAa,YAAY;AAAA,EACjC,cAAc,CAAC,WAAW,UAAU;AAAA,EACpC,cAAc,CAAC,YAAY,WAAW;AAAA,EACtC,UAAU,CAAC,aAAa,YAAY,UAAU;AAAA,EAC9C,WAAW,CAAC,gBAAgB,SAAS;AAAA,EACrC,cAAc,CAAC,gBAAgB,WAAW;AAAA,EAC1C,cAAc,CAAC,aAAa,WAAW;AAAA,EACvC,UAAU,CAAC,aAAa,UAAU;AAAA,EAClC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,gBAAgB,CAAC,iBAAiB,gBAAgB;AAAA,EAClD,eAAe,CAAC,YAAY,WAAW;AAAA,EACvC,eAAe,CAAC,aAAa,YAAY;AAAA,EACzC,WAAW,CAAC,cAAc,aAAa,WAAW;AAAA,EAClD,YAAY,CAAC,iBAAiB,UAAU;AAAA,EACxC,eAAe,CAAC,iBAAiB,YAAY;AAAA,EAC7C,eAAe,CAAC,cAAc,YAAY;AAAA,EAC1C,WAAW,CAAC,cAAc,WAAW;AAAA,EACrC,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,gBAAgB,CAAC,aAAa,YAAY;AAAA,EAC1C,iBAAiB,CAAC,kBAAkB,iBAAiB;AACvD;;;AC5DA,IAAI;AACJ,IAAI,YAAY;AAChB,IAAI;AACJ,IAAM,YAAY;AAClB,IAAM,UAAU,CAAC,GAAG,IAAI,IAAI,IAAI,EAAE;AAE3B,SAAS,gBAAgB;AAC9B,QAAMG,WAAsC,CAAC;AAC7C,MAAI,UAAU;AACd,SAAO,UAAU,WAAW;AAC1B,QAAI,cAAc;AAClB,QAAI,sBAAsB;AAC1B,WAAO,sBAAsB,QAAQ,UAAU,QAAQ,mBAAmB,MAAM,QAAQ,OAAO,GAAG;AAChG,qBAAe;AACf;AAAA,IACF;AACA,UAAM,SAAS,QAAQ,OAAO;AAC9B,UAAM,mBAAmB,KAAK,KAAK,YAAY,MAAM;AACrD,UAAM,kBAAkB,KAAK,KAAK,YAAY,MAAM;AACpD,aAASC,KAAI,GAAGA,KAAI,kBAAkB,EAAEA,IAAG;AACzC,eAAS,IAAI,GAAG,IAAI,iBAAiB,EAAE,GAAG;AACxC,iBAAS,WAAW,GAAG,WAAW,aAAa,EAAE,UAAU;AACzD,UAAAD,SAAQ,KAAK,EAAE,IAAI,IAAI,OAAO,iBAAiB,IAAIC,KAAI,OAAO,iBAAiB,CAAC;AAAA,QAClF;AAAA,MACF;AAAA,IACF;AACA,cAAU;AAAA,EACZ;AACA,iBAAe,EAAE,GAAM,GAASD,SAAQ,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,GAAG,GAAM,GAASA,SAAQ,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE;AACpG;AAEA,eAAsB,aAAaE,SAAqC;AACtE,MAAI,IAAI;AAAS,YAAQ;AACzB,MAAI,CAAC,SAASA,QAAO,KAAK,UAAU,KAAKA,QAAO,KAAK,UAAU,EAAE,aAAa,IAAI;AAChF,YAAQ,MAAM,UAAUA,QAAO,KAAK,UAAU,EAAE,SAAS;AACzD,UAAM,UAAS,+BAAQ,eAAc,OAAO,OAAO,MAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,gBAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWA,QAAO,SAAS;AAAO,QAAI,iBAAiB,MAAM,UAAU,CAAC;AACxE,gBAAc;AACd,SAAO;AACT;AAEA,IAAM,aAAa,CAAC,GAAK,CAAG;AACrB,SAAS,YAAY,aAAa,QAAQ;AAC/C,SAAU,GAAK,MAAM;AACnB,UAAM,QAAW,GAAM,aAAa,IAAI,CAAC;AACzC,QAAI,UAAa,GAAQ,MAAM,CAAC,CAAC;AACjC,QAAI,UAAa,GAAQ,MAAM,CAAC,CAAC;AACjC,QAAI,QAAW,GAAQ,MAAM,CAAC,CAAC;AAC/B,QAAI,SAAY,GAAQ,MAAM,CAAC,CAAC;AAChC,cAAa,GAAO,GAAI,SAAS,SAAS,GAAG,OAAO,CAAC;AACrD,cAAa,GAAO,GAAI,SAAS,SAAS,GAAG,OAAO,CAAC;AACrD,YAAW,GAAO,GAAI,OAAO,SAAS,GAAG,WAAW,CAAC,CAAC;AACtD,aAAY,GAAO,GAAI,QAAQ,SAAS,GAAG,WAAW,CAAC,CAAC;AACxD,UAAM,OAAU,GAAI,SAAY,GAAI,OAAO,CAAC,CAAC;AAC7C,UAAM,OAAU,GAAI,SAAY,GAAI,QAAQ,CAAC,CAAC;AAC9C,UAAM,OAAU,GAAI,MAAM,KAAK;AAC/B,UAAM,OAAU,GAAI,MAAM,MAAM;AAChC,UAAM,QAAW,GAAM,CAAC,MAAM,MAAM,MAAM,IAAI,GAAG,CAAC;AAClD,WAAO;AAAA,EACT,CAAC;AACH;AAEA,eAAe,cAAc,aAAqB,cAAsBA,SAAgBC,aAAsD;AA1E9I,MAAAC,KAAA;AA2EE,QAAM,gBAA+B,CAAC;AACtC,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,QAAQ,YAAY,aAAa,YAAY;AAC/C,EAAAA,IAAE,SAAY,GAAQ,YAAY;AAClC,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,QAAoB,KAAGD,MAAAF,QAAO,KAAK,UAAU,MAAtB,gBAAAE,IAAyB,kBAAiB,OAAK,KAAAF,QAAO,KAAK,UAAU,MAAtB,mBAAyB,iBAAgB,GAAG;AACvL,QAAM,MAAM,MAAMG,IAAE,IAAI,KAAK;AAC7B,QAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,QAAM,QAAQ,MAAMA,IAAE,MAAM,MAAM;AAClC,aAAW,KAAK,MAAM,KAAK,GAAG,GAAG;AAC/B,UAAM,QAAQ,OAAO,CAAC;AACtB,UAAM,SAAc,MAAM,CAAC;AAC3B,UAAM,MAAW,CAAC,KAAK,MAAM,OAAO,CAAC,IAAIF,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,GAAG,KAAK,MAAM,OAAO,CAAC,IAAIA,YAAW,CAAC,CAAC,CAAC;AAC5K,UAAM,cAA2B,EAAE,OAAO,QAAQ,IAAI;AACtD,kBAAc,KAAK,WAAW;AAAA,EAChC;AACA,SAAO,KAAKE,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsB,YAAY,OAAeH,SAAgBC,aAA8B;AAC7F,QAAME,MAA4B,CAAC;AACnC,EAAAA,IAAE,MAAM,+BAAO,QAAQ,OAAO,CAAC,UAAU;AACzC,EAAAA,IAAE,YAAe,GAAMA,IAAE,KAAK,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,IAAI,CAAC,CAAC;AACnD,EAAAA,IAAE,WAAc,GAAMA,IAAE,KAAK,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,IAAI,EAAE,CAAC;AACnD,EAAAA,IAAE,SAAY,GAAQA,IAAE,SAAS;AACjC,EAAAA,IAAE,QAAW,GAAQA,IAAE,QAAQ;AAC/B,QAAM,QAAQ,MAAM,cAAcA,IAAE,OAAOA,IAAE,QAAQH,SAAQC,WAAU;AACvE,SAAO,KAAKE,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACtGO,SAAS,KAAK,WAAoBC,cAA+B,CAAC,GAAG,CAAC,GAAG;AAC9E,QAAM,SAAS,CAAC,UAAU,IAAI,CAACC,QAAOA,IAAG,CAAC,CAAC,GAAG,UAAU,IAAI,CAACA,QAAOA,IAAG,CAAC,CAAC,CAAC;AAC1E,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAW,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAClE,QAAM,SAAc,CAAC,IAAI,CAAC,IAAID,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,CAAC;AACnH,SAAO,EAAE,KAAK,OAAO;AACvB;AAEO,SAAS,OAAO,WAAoBA,cAA+B,CAAC,GAAG,CAAC,GAAG;AAChF,QAAM,SAAS,CAAC,UAAU,IAAI,CAACC,QAAOA,IAAG,CAAC,CAAC,GAAG,UAAU,IAAI,CAACA,QAAOA,IAAG,CAAC,CAAC,CAAC;AAC1E,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,MAAM,CAAC,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,GAAG,KAAK,IAAI,GAAG,OAAO,CAAC,CAAC,CAAC;AAC3D,QAAM,SAAS,EAAE,IAAI,CAAC,IAAI,IAAI,CAAC,KAAK,IAAI,IAAI,CAAC,IAAI,IAAI,CAAC,KAAK,CAAC;AAC5D,QAAM,OAAO,KAAK,IAAI,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,CAAC,OAAO,CAAC,IAAI,IAAI,CAAC,GAAG,CAAC,OAAO,CAAC,IAAI,IAAI,CAAC,CAAC;AACtG,QAAM,MAAW,CAAC,KAAK,MAAM,OAAO,CAAC,IAAI,IAAI,GAAG,KAAK,MAAM,OAAO,CAAC,IAAI,IAAI,GAAG,KAAK,MAAM,IAAI,IAAI,GAAG,KAAK,MAAM,IAAI,IAAI,CAAC;AACxH,QAAM,SAAc,CAAC,IAAI,CAAC,IAAID,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,GAAG,IAAI,CAAC,IAAIA,YAAW,CAAC,CAAC;AACnH,SAAO,EAAE,KAAK,OAAO;AACvB;AAEO,SAAS,MAAM,KAAU,WAAmB;AACjD,QAAM,OAAO,CAAC,IAAI,CAAC,IAAI,WAAW,IAAI,CAAC,IAAI,SAAS;AACpD,QAAM,SAAc;AAAA,IAClB,IAAI,CAAC,KAAK,KAAK,CAAC,IAAI,IAAI,CAAC,KAAK;AAAA,IAC9B,IAAI,CAAC,KAAK,KAAK,CAAC,IAAI,IAAI,CAAC,KAAK;AAAA,IAC9B,KAAK,CAAC;AAAA,IACN,KAAK,CAAC;AAAA,EACR;AACA,SAAO;AACT;;;ACdA,IAAIE;AACJ,IAAIC,aAAY;AAChB,IAAI,UAAU,OAAO;AACrB,IAAM,cAA2D;AAAA,EAC/D,WAAW,CAAC,SAAS,2BAA2B,sBAAsB,YAAY,iBAAiB;AAAA,EACnG,UAAU,CAAC;AACb;AAEA,IAAM,QAAsB,CAAC;AAC7B,IAAI,UAA8B,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AACjE,IAAI,WAAW;AAEf,IAAM,UAAU,CAAC,MAAO,IAAK,KAAK,IAAI,KAAK,IAAI,CAAC;AAEzC,IAAM,aAAa,CAACC,YAAwC,aAAaA,OAAM;AAEtF,eAAsB,SAASA,SAAqC;AAClE,MAAI,IAAI;AAAS,IAAAF,SAAQ;AACzB,MAAI,CAACA,QAAO;AACV,IAAAA,SAAQ,MAAM,UAAUE,QAAO,KAAK,SAAS;AAC7C,UAAM,UAASF,UAAA,gBAAAA,OAAQ,eAAc,OAAO,OAAOA,OAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAC,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWC,QAAO;AAAO,QAAI,iBAAiBF,OAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,SAAS,aAAa,OAAiBG,OAAc,SAAuB;AA5C5E,MAAAC,KAAA;AA6CE,QAAMC,MAA4B,CAAC;AACnC,MAAI,GAACD,MAAA,+BAAO,UAAP,gBAAAA,IAAe,OAAM,GAAC,oCAAO,UAAP,mBAAe;AAAI,WAAO;AACrD,MAAI;AACJ,MAAI,SAAS;AACX,IAAAC,IAAE,UAAa,GAAM,cAAc,OAAO,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC;AAAA,EAC5F;AACA,MAAI,MAAM,MAAM,CAAC,MAAM,MAAM,MAAM,CAAC,GAAG;AACrC,UAAM,SAA2B;AAAA,MAC/B,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,MACtF,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,IACxF;AACA,UAAM,QAA0B;AAAA,MAC9B,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,MACtF,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI;AAAA,IACxF;AACA,cAAU;AAAA,MACR,CAAC,GAAG,CAAC;AAAA;AAAA,MACL;AAAA;AAAA,MACA;AAAA;AAAA,MACA,CAAC,GAAG,CAAC;AAAA;AAAA,IACP;AACA,IAAAA,IAAE,MAAS,GAAIA,IAAE,WAAW,OAAO,OAAO;AAC1C,IAAAA,IAAE,SAAY,GAAM,eAAeA,IAAE,KAAiB,CAACF,OAAMA,KAAI,CAAC;AAClE,YAAW,GAAIE,IAAE,QAAQ,UAAU,KAAK;AAAA,EAC1C,WAAW,MAAM,MAAM,CAAC,MAAMF,OAAM;AAClC,IAAAE,IAAE,SAAY,GAAM,eAAeA,IAAE,WAAuB,OAAO,CAACF,OAAMA,KAAI,CAAC;AAC/E,YAAW,GAAIE,IAAE,QAAQ,UAAU,KAAK;AAAA,EAC1C,OAAO;AACL,YAAW,GAAIA,IAAE,WAAW,OAAO,UAAU,KAAK;AAAA,EACpD;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,SAAS,iBAAiB,WAA2BC,aAA8B,SAA+B;AAChH,aAAWC,QAAO,WAAW;AAC3B,IAAAA,KAAI,WAAW;AAAA,MACb,KAAK,MAAMA,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,KAAKA,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,CAAC;AAAA,MAC5G,KAAK,MAAMC,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,KAAKA,YAAW,CAAC,IAAI,QAAQ,CAAC,EAAE,CAAC,CAAC;AAAA,MAC5GC,KAAI,SAAS,CAAC;AAAA,IAChB;AACA,IAAAA,KAAI,cAAc,CAACA,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC,GAAGC,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC,GAAG,IAAKC,KAAI,SAAS,CAAC,KAAgBD,YAAW,CAAC,IAAIA,YAAW,CAAC,EAAE;AAAA,EACxJ;AACA,MAAI,SAAS;AACX,UAAM,QAAQ,QAAQ,CAAC,IAAI,QAAQ,CAAC;AACpC,UAAM,SAAS,QAAQ,CAAC,IAAI,QAAQ,CAAC;AACrC,eAAWC,QAAO,WAAW;AAC3B,MAAAA,KAAI,cAAc;AAAA,QAChBA,KAAI,YAAY,CAAC,IAAI,SAAS,QAAQ,CAAC;AAAA;AAAA,QACvCA,KAAI,YAAY,CAAC,IAAI,QAAQ,QAAQ,CAAC;AAAA;AAAA,QACtCA,KAAI,YAAY,CAAC;AAAA,MACnB;AACA,MAAAA,KAAI,WAAW;AAAA,QACb,KAAK,MAAMA,KAAI,YAAY,CAAC,IAAID,YAAW,CAAC,CAAC;AAAA,QAC7C,KAAK,MAAMC,KAAI,YAAY,CAAC,IAAID,YAAW,CAAC,CAAC;AAAA,QAC7CC,KAAI,YAAY,CAAC;AAAA,MACnB;AAAA,IACF;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,aAAa,WAA2B;AAE/C,QAAM,WAAW,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,UAAU;AAC5D,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,WAAS,SAAS,CAAC,MAAM,UAAU,SAAS,CAAC,KAAK,MAAM,UAAU,SAAS,CAAC,KAAK,MAAM;AACvF,QAAM,YAAY,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,WAAW;AAC9D,QAAM,aAAa,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,YAAY;AAChE,QAAM,aAAa,UAAU,KAAK,CAAC,MAAM,EAAE,SAAS,YAAY;AAChE,YAAU,SAAS,CAAC,MAAM,WAAW,SAAS,CAAC,KAAK,MAAM,WAAW,SAAS,CAAC,KAAK,MAAM;AAC5F;AAEA,eAAe,gBAAgB,OAAeL,SAAgBI,aAA0D;AAQtH,MAAI,EAACN,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAMK,MAA4B,CAAC;AACnC;AAAA,IAACA,IAAE;AAAA,IAAqBA,IAAE;AAAA,IAA+BA,IAAE;AAAA,IAAyBA,IAAE;AAAA,IAAwBA,IAAE;AAAA;AAAA,EAAiB,IAAIL,UAAA,gBAAAA,OAAO,QAAQ,OAAO,YAAY;AACvK,QAAM,aAAa,MAAMK,IAAE,SAAS,KAAK,GAAG,CAAC;AAC7C,QAAM,SAAS,MAAMA,IAAE,GAAG,KAAK;AAC/B,QAAM,YAAY,MAAMA,IAAE,MAAM,KAAK;AACrC,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,QAAM,oBAAoC,CAAC;AAC3C,QAAM,QAAQ;AACd,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,OAAO,KAAK;AAC9C,UAAM,QAAQ,QAAQ,OAAO,QAAQ,IAAI,CAAC,CAAC;AAC3C,UAAM,WAAW,QAAQ,OAAO,QAAQ,IAAI,CAAC,CAAC;AAC9C,UAAM,WAAW,KAAK,MAAM,MAAM,QAAQ,WAAW,SAAS,IAAI;AAClE,UAAM,cAAqB,CAAC,OAAO,QAAQ,IAAI,CAAC,IAAIJ,YAAW,OAAO,QAAQ,IAAI,CAAC,IAAIA,YAAW,OAAO,QAAQ,IAAI,CAAC,IAAI,CAAC;AAC3H,UAAM,WAAkB,CAAC,KAAK,MAAMK,YAAW,CAAC,IAAI,YAAY,CAAC,CAAC,GAAG,KAAK,MAAMA,YAAW,CAAC,IAAI,YAAY,CAAC,CAAC,GAAG,YAAY,CAAC,CAAW;AACzI,UAAME,YAAkB,CAAC,UAAU,QAAQ,IAAI,CAAC,GAAG,UAAU,QAAQ,IAAI,CAAC,GAAG,UAAU,QAAQ,IAAI,CAAC,IAAI,CAAC;AACzG,sBAAkB,KAAK,EAAE,MAAa,IAAI,CAAC,GAAmB,aAAa,UAAU,UAAAA,WAAU,OAAO,SAAS,CAAC;AAAA,EAClH;AACA,MAAI,aAAaN,QAAO,KAAK,iBAAiB;AAAI,WAAO;AACzD,eAAa,iBAAiB;AAC9B,QAAM,YAA4B,iBAAiB,mBAAmBI,WAAU;AAChF,QAAM,OAAO,UAAU,IAAI,CAAC,MAAM,EAAE,QAAQ;AAC5C,QAAM,QAAY,KAAK,MAAM,CAACA,YAAW,CAAC,GAAGA,YAAW,CAAC,CAAC,CAAC;AAC3D,QAAMG,eAAiD,CAAC;AACxD,aAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAe,SAAS,GAAG;AAC9D,UAAMC,MAAgB,CAAC;AACvB,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAACH,SAAQA,KAAI,SAAS,QAAQ,CAAC,CAAC;AAC3D,YAAM,MAAM,UAAU,KAAK,CAACA,SAAQA,KAAI,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC/D,UAAI,OAAO;AAAK,QAAAG,IAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,IACtD;AACA,IAAAD,aAAY,IAAI,IAAIC;AAAA,EACtB;AACA,QAAMC,QAAO,EAAE,IAAI,GAAG,OAAO,KAAK,MAAM,MAAM,SAAS,IAAI,KAAK,KAAK,MAAM,KAAK,QAAQ,MAAM,QAAQ,WAAW,aAAAF,aAAY;AAC7H,SAAOE;AACT;AAEA,eAAsB,QAAQ,OAAiBT,SAAuC;AApKtF,MAAAE,KAAA,IAAAQ;AAqKE,QAAMN,cAA+B,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC9E,QAAM,YAAYJ,QAAO,KAAK,YAAY,KAAM,IAAI,IAAI;AACxD,QAAM,YAAY,WAAWA,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,aAAa,UAAU,MAAM;AACjE;AAAA,EACF,OAAO;AACL,QAAI,QAAuB,CAAC;AAC5B,SAAI,MAAAE,MAAAF,QAAO,SAAP,gBAAAE,IAAc,gBAAd,mBAA4B,YAAY;AAC1C,YAAM,gBAAgB,aAAa,OAAO,GAAG;AAC7C,cAAQ,MAAM,YAAY,eAAeF,SAAQI,WAAU;AAC3D,MAAG,GAAQ,aAAa;AAAA,IAC1B,OAAO;AACL,cAAQ,CAAC,EAAE,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,GAAU,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,EAAE,CAAC;AAAA,IACvE;AACA,aAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,YAAM,cAAc,aAAa,OAAO,MAAKM,MAAA,MAAM,CAAC,MAAP,gBAAAA,IAAU,MAAM;AAC7D,YAAM,SAAS;AACf,YAAM,aAAa,MAAM,gBAAgB,aAAaV,SAAQI,WAAU;AACxE,MAAG,GAAQ,WAAW;AACtB,UAAI,CAAC;AAAY;AACjB,iBAAW,KAAK;AAEhB,YAAM,KAAK,UAAU;AAAA,IACvB;AAeA,eAAW,IAAI;AACf,cAAU;AAAA,EACZ;AACA,SAAO;AACT;;;AC5MO,IAAMO,UAAS;AAAA,EACpB,EAAE,OAAO,GAAG,OAAO,SAAS;AAAA,EAC5B,EAAE,OAAO,GAAG,OAAO,UAAU;AAAA,EAC7B,EAAE,OAAO,GAAG,OAAO,MAAM;AAAA,EACzB,EAAE,OAAO,GAAG,OAAO,aAAa;AAAA,EAChC,EAAE,OAAO,GAAG,OAAO,WAAW;AAAA,EAC9B,EAAE,OAAO,GAAG,OAAO,MAAM;AAAA,EACzB,EAAE,OAAO,GAAG,OAAO,QAAQ;AAAA,EAC3B,EAAE,OAAO,GAAG,OAAO,QAAQ;AAAA,EAC3B,EAAE,OAAO,GAAG,OAAO,OAAO;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,cAAc;AAAA,EAClC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,iBAAiB;AAAA,EACrC,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,gBAAgB;AAAA,EACpC,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,MAAM;AAAA,EAC1B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,KAAK;AAAA,EACzB,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,SAAS;AAAA,EAC7B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,YAAY;AAAA,EAChC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,UAAU;AAAA,EAC9B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,eAAe;AAAA,EACnC,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,QAAQ;AAAA,EAC5B,EAAE,OAAO,IAAI,OAAO,OAAO;AAAA,EAC3B,EAAE,OAAO,IAAI,OAAO,WAAW;AAAA,EAC/B,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,aAAa;AAAA,EACjC,EAAE,OAAO,IAAI,OAAO,aAAa;AACnC;;;ACrEA,IAAIC;AACJ,IAAIC,aAAY;AAChB,IAAIC,QAAuB,CAAC;AAC5B,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsB,KAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAL,SAAQ;AACzB,MAAI,CAACA,QAAO;AAEV,IAAAA,SAAQ,MAAM,UAAUK,QAAO,OAAO,SAAS;AAC/C,UAAM,UAASL,UAAA,gBAAAA,OAAQ,eAAc,OAAO,OAAOA,OAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAC,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWI,QAAO;AAAO,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,eAAeM,SAAQ,KAAoB,aAA+BD,SAAgB;AACxF,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAME,MAA4B,CAAC;AACnC,QAAM,UAA0B,CAAC;AACjC,QAAM,aAAa,MAAM,IAAI,MAAM;AACnC,EAAAA,IAAE,UAAa,GAAQ,GAAG;AAC1B,QAAM,MAAS,GAAMA,IAAE,SAAS,GAAG,CAAC;AACpC,EAAAA,IAAE,QAAW,GAAM,CAAC,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,CAAC,GAAG,CAAC;AACtD,EAAAA,IAAE,QAAW,GAAQA,IAAE,KAAK;AAC5B,EAAAA,IAAE,SAAY,GAAQ,IAAI,CAAC,CAAC;AAC5B,EAAAA,IAAE,UAAa,GAAQ,IAAI,CAAC,CAAC;AAC7B,EAAG,GAAQ,CAAC,KAAK,GAAG,GAAG,CAAC;AACxB,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,QAAoBF,QAAO,OAAO,eAAe,GAAGA,QAAO,OAAO,cAAeA,QAAO,OAAO,iBAAiB,CAAE;AACvL,QAAM,MAAM,MAAME,IAAE,IAAI,KAAK;AAC7B,MAAI,IAAI;AACR,aAAWC,OAAM,MAAM,KAAK,GAAG,GAAG;AAChC,UAAM,QAAQ,KAAK,MAAM,MAAM,WAAW,CAAC,EAAEA,GAAE,EAAE,CAAC,CAAC,IAAI;AACvD,UAAM,WAAW,WAAW,CAAC,EAAEA,GAAE,EAAE,CAAC;AACpC,QAAI,OAAO,MAAM,QAAQ;AAAG;AAC5B,UAAM,QAAQC,QAAO,QAAQ,EAAE;AAC/B,UAAM,CAAC,GAAGC,EAAC,IAAI;AAAA,MACb,WAAW,CAAC,EAAEF,GAAE,EAAE,CAAC,IAAIP;AAAA,MACvB,WAAW,CAAC,EAAEO,GAAE,EAAE,CAAC,IAAIP;AAAA,IACzB;AACA,UAAM,SAAc;AAAA,MAClB;AAAA,MACAS;AAAA,MACA,WAAW,CAAC,EAAEF,GAAE,EAAE,CAAC,IAAIP,aAAY;AAAA,MACnC,WAAW,CAAC,EAAEO,GAAE,EAAE,CAAC,IAAIP,aAAYS;AAAA,IACrC;AACA,UAAM,MAAW;AAAA,MACf,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,MACrC,KAAK,MAAM,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAAA,IACvC;AACA,YAAQ,KAAK,EAAE,IAAI,KAAK,OAAO,OAAO,UAAU,OAAO,KAAK,OAAO,CAAC;AAAA,EACtE;AACA,SAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsBI,SAAQ,OAAiBN,SAAyC;AACtF,MAAI,EAACL,UAAA,gBAAAA,OAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYK,QAAO,OAAO,YAAY,KAAM,IAAI,IAAIF;AAC1D,QAAM,YAAYC,YAAWC,QAAO,OAAO,cAAc;AACzD,MAAIA,QAAO,eAAe,YAAY,aAAcH,MAAK,SAAS,GAAI;AACpE,IAAAE;AACA,WAAOF;AAAA,EACT;AACA,EAAAE,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMQ,cAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC5D,UAAM,SAAY,GAAM,eAAe,OAAO,CAACX,YAAWA,UAAS,CAAC;AACpE,UAAM,UAAUI,QAAO,OAAO,UAAUL,UAAA,gBAAAA,OAAO,QAAQ,QAAQ,CAAC,oBAAoB,KAAe;AACnG,IAAAG,YAAW,IAAI;AACf,IAAG,GAAQ,MAAM;AAEjB,UAAM,MAAM,MAAMG,SAAQ,SAASM,aAAYP,OAAM;AACrD,IAAAH,QAAO;AAEP,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AChGA;AAAA;AAAA,mBAAAW;AAAA,EAAA,WAAAC;AAAA;AAAO,IAAMA,OAAgB;AAAA,EAC3B;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AACF;AAEO,IAAMD,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,WAAW;AAAA,EAC5C,UAAU,CAAC,YAAY,aAAa,YAAY;AAAA,EAChD,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW,cAAc;AAAA,EAC9E,SAAS,CAAC,gBAAgB,aAAa,WAAW;AAAA,EAClD,UAAU,CAAC,iBAAiB,cAAc,YAAY;AAAA,EACtD,MAAM,CAAC;AACT;;;ACVA,IAAIE;AACJ,IAAIC,YAAW;AACf,IAAMC,SAAoB,EAAE,IAAI,GAAG,WAAW,CAAC,GAAG,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,GAAG,aAAa,CAAC,EAAuC;AAM1J,IAAIC,WAAU,OAAO;AAErB,eAAsBC,MAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAL,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,UAAUK,QAAO,KAAK,SAAS;AAAA,WAChDA,QAAO;AAAO,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAGA,eAAe,MAAM,QAAQ,UAA6C;AACxE,QAAM,CAAC,OAAO,MAAM,IAAI,OAAO;AAC/B,QAAM,WAAc,EAAQ,QAAQ,CAAC,SAAS,KAAK,CAAC;AACpD,QAAM,MAAS,GAAI,UAAU,CAAC;AAC9B,QAAM,YAAoB,MAAM,IAAI,KAAK,GAAG,CAAC;AAC7C,MAAI,WAAW,UAAU;AACvB,UAAM,cAAiB,GAAO,UAAU,CAAC;AACzC,UAAM,MAAS,GAAI,aAAa,KAAK;AACrC,UAAM,KAAK,MAAM,IAAI,KAAK,GAAG,CAAC;AAC9B,UAAM,MAAS,GAAI,aAAa,KAAK;AACrC,UAAMM,MAAa,MAAM,IAAI,KAAK,GAAG,CAAC;AACtC,IAAG,GAAQ,CAAC,UAAU,KAAK,aAAa,KAAK,GAAG,CAAC;AACjD,WAAO,CAAC,GAAGA,IAAG,QAAQ;AAAA,EACxB;AACA,EAAG,GAAQ,CAAC,UAAU,GAAG,CAAC;AAC1B,SAAO,CAAC,GAAG,GAAG,QAAQ;AACxB;AAEA,eAAsBC,SAAQ,OAAiBF,SAAuC;AACpF,MAAI,EAACL,UAAA,gBAAAA,OAAQ,gBAAe,EAACA,UAAA,gBAAAA,OAAO,OAAO,GAAG;AAAO,WAAO,CAAC;AAC7D,QAAM,YAAYK,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIJ;AACxD,QAAM,YAAYE,YAAWE,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,aAAa,OAAO,KAAKH,OAAM,SAAS,EAAE,SAAS,GAAG;AAC1F,IAAAC;AACA,WAAO,CAACD,MAAK;AAAA,EACf;AACA,EAAAC,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAK,MAAM;AA9DjC,UAAAK,KAAA;AA+DM,YAAM,SAAY,GAAM,eAAe,OAAO,GAACA,MAAAR,UAAA,gBAAAA,OAAO,OAAO,GAAG,UAAjB,gBAAAQ,IAAyB,OAAM,KAAG,KAAAR,UAAA,gBAAAA,OAAO,OAAO,GAAG,UAAjB,mBAAyB,OAAM,CAAC,GAAG,KAAK;AACzH,YAAMS,WAAa,GAAI,QAAQ,UAAU,GAAG;AAC5C,YAAM,OAAU,GAAIA,UAAS,UAAU,GAAG;AAC1C,aAAO;AAAA,IACT,CAAC;AACD,QAAI;AACJ,QAAIJ,QAAO,KAAK;AAAS,aAAOL,UAAA,gBAAAA,OAAO,QAAQ;AAC/C,IAAAC,YAAW,IAAI;AACf,IAAG,GAAQ,MAAM;AAEjB,QAAI,MAAM;AACR,MAAAC,OAAM,UAAU,SAAS;AACzB,YAAM,UAAa,GAAQ,IAAI;AAC/B,MAAG,GAAQ,IAAI;AAEf,YAAM,QAAW,GAAQ,SAAS,CAAC;AACnC,MAAG,GAAQ,OAAO;AAGlB,eAASQ,MAAK,GAAGA,MAAK,MAAM,QAAQA,OAAM;AAExC,cAAM,CAACC,IAAGL,KAAG,SAAS,IAAI,MAAM,MAAM,MAAMI,GAAE,GAAGL,QAAO,KAAK,aAAa;AAC1E,YAAI,aAAaA,QAAO,KAAK,iBAAiB,IAAI;AAChD,UAAAH,OAAM,UAAU,KAAK;AAAA,YACnB,OAAO,KAAK,MAAM,MAAM,SAAS,IAAI;AAAA,YACrC,MAAaU,KAAIF,GAAE;AAAA,YACnB,aAAa;AAAA;AAAA;AAAA,cAEXC,KAAIX,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC;AAAA,cAAGM,MAAIN,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC;AAAA,YAC3D;AAAA,YACA,UAAU;AAAA;AAAA;AAAA,cAER,KAAK,MAAM,MAAM,MAAM,CAAC,IAAIW,KAAIX,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC;AAAA,cAAG,KAAK,MAAM,MAAM,MAAM,CAAC,IAAIM,MAAIN,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC;AAAA,YACrH;AAAA,UACF,CAAC;AAAA,QACH;AAAA,MACF;AACA,YAAM,QAAQ,CAAC,MAAS,GAAQ,CAAC,CAAC;AAAA,IACpC;AACA,IAAAE,OAAM,QAAQA,OAAM,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO,CAAC;AAC/F,UAAM,IAAIA,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS,CAAC,CAAC;AAClD,UAAMI,KAAIJ,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS,CAAC,CAAC;AAClD,IAAAA,OAAM,MAAM;AAAA,MACV,KAAK,IAAI,GAAG,CAAC;AAAA,MACb,KAAK,IAAI,GAAGI,EAAC;AAAA,MACb,KAAK,IAAI,GAAG,CAAC,IAAI,KAAK,IAAI,GAAG,CAAC;AAAA,MAC9B,KAAK,IAAI,GAAGA,EAAC,IAAI,KAAK,IAAI,GAAGA,EAAC;AAAA,IAChC;AACA,UAAM,OAAOJ,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY,CAAC,CAAC;AACxD,UAAM,OAAOA,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY,CAAC,CAAC;AACxD,IAAAA,OAAM,SAAS;AAAA,MACb,KAAK,IAAI,GAAG,IAAI;AAAA,MAChB,KAAK,IAAI,GAAG,IAAI;AAAA,MAChB,KAAK,IAAI,GAAG,IAAI,IAAI,KAAK,IAAI,GAAG,IAAI;AAAA,MACpC,KAAK,IAAI,GAAG,IAAI,IAAI,KAAK,IAAI,GAAG,IAAI;AAAA,IACtC;AACA,eAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeW,UAAS,GAAG;AAC9D,YAAMC,MAAgB,CAAC;AACvB,eAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,cAAM,MAAMZ,OAAM,UAAU,KAAK,CAACU,SAAQA,KAAI,SAAS,QAAQ,CAAC,CAAC;AACjE,cAAM,MAAMV,OAAM,UAAU,KAAK,CAACU,SAAQA,KAAI,SAAS,QAAQ,IAAI,CAAC,CAAC;AACrE,YAAI,OAAO,OAAO,IAAI,SAASP,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,UAAAS,IAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,MACtJ;AACA,MAAAZ,OAAM,YAAY,IAAI,IAAIY;AAAA,IAC5B;AACA,YAAQ,CAACZ,MAAK,CAAC;AAAA,EACjB,CAAC;AACH;;;ACnHO,IAAM,aAAa,CAAC,QAA0B,CAAC,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC,CAAC;AAE3I,IAAM,eAAe,CAAC,QAAkC,CAAC,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK,GAAG,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK,GAAG,CAAC;AAExL,IAAM,WAAW,CAAC,KAAK,UAAgB,MAAM;AAAA,EAClD,KAAK,MAAM,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EACzC,KAAK,MAAM,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EACzC,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,IAAI,SAAS,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAAA,EAC5F,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,IAAI,SAAS,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,IAAI,WAAW,CAAC,CAAC,CAAC;AAC9F,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AAER,IAAM,YAAY,CAAC,KAAK,UAAgB,MAAM;AAAA,EACnD,IAAI,WAAW,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK;AAAA,EACvC,IAAI,WAAW,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK;AAAA,GACtC,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,GAC1D,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAC7D,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AAER,IAAM,sBAAsB,CAAC,KAAK,QAAQ,WAAW;AAC1D,QAAM,aAAoB,CAAC,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,CAAC;AACvF,QAAM,WAAkB,CAAC,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,CAAC;AAEjF,QAAM,YAAY,IAAI,UAAU,IAAI,CAACa,QAAO,EAAEA,IAAG,CAAC,IAAI,OAAO,CAAC,KAAK,OAAO,CAAC,IAAIA,IAAG,CAAC,IAAI,OAAO,CAAC,KAAK,OAAO,CAAC,CAAC,CAAC;AAQ9G,SAAO,EAAE,YAAY,UAAU,WAAW,YAAY,IAAI,WAAW;AACvE;AAEO,IAAM,eAAe,CAAC,KAAK,OAAO,aAAa;AACpD,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,SAAS,CAAC,IAAI,WAAW,CAAC,IAAI,GAAG,IAAI,WAAW,CAAC,IAAI,GAAG,IAAI,SAAS,CAAC,IAAI,GAAG,IAAI,SAAS,CAAC,IAAI,CAAC;AACtG,QAAM,OAAU,GAAM,cAAc,OAAO,CAAC,MAAM,GAAG,CAAC,CAAC,GAAG,QAAQ;AAClE,QAAM,OAAU,GAAI,MAAM,UAAU,KAAK;AACzC,EAAG,GAAQ,IAAI;AACf,SAAO;AACT;AAEO,IAAM,aAAa,CAAC,KAAK,WAAW;AACzC,QAAM,SAAS,aAAa,GAAG;AAC/B,QAAMC,QAAO,WAAW,GAAG;AAC3B,QAAM,WAA6B,CAAC,SAASA,MAAK,CAAC,IAAI,GAAG,SAASA,MAAK,CAAC,IAAI,CAAC;AAC9E,SAAO;AAAA,IACL,YAAY,CAAC,OAAO,CAAC,IAAI,SAAS,CAAC,GAAG,OAAO,CAAC,IAAI,SAAS,CAAC,CAAC;AAAA,IAC7D,UAAU,CAAC,OAAO,CAAC,IAAI,SAAS,CAAC,GAAG,OAAO,CAAC,IAAI,SAAS,CAAC,CAAC;AAAA,IAC3D,WAAW,IAAI;AAAA,IACf,YAAY,IAAI;AAAA,IAChB,MAAAA;AAAA,EACF;AACF;AAEO,IAAM,cAAc,CAAC,QAAQ;AAClC,QAAM,UAAU,aAAa,GAAG;AAChC,QAAMA,QAAO,WAAW,GAAG;AAC3B,QAAM,WAAW,KAAK,IAAI,GAAGA,KAAI,IAAI;AACrC,SAAO;AAAA,IACL,YAAY,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC;AAAA,IACjF,UAAU,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC;AAAA,IAC/E,WAAW,IAAI;AAAA,IACf,YAAY,IAAI;AAAA,IAChB,MAAM,CAAC,KAAK,MAAMA,MAAK,CAAC,CAAC,GAAG,KAAK,MAAMA,MAAK,CAAC,CAAC,CAAC;AAAA,EACjD;AACF;AAEO,IAAM,gCAAgC,CAAC,cAAc;AAC1D,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACnC,QAAMC,KAAI,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACnC,SAAO;AAAA,IACL,YAAY,CAAC,KAAK,IAAI,GAAG,CAAC,GAAG,KAAK,IAAI,GAAGA,EAAC,CAAC;AAAA,IAC3C,UAAU,CAAC,KAAK,IAAI,GAAG,CAAC,GAAG,KAAK,IAAI,GAAGA,EAAC,CAAC;AAAA,IACzC;AAAA,EACF;AACF;AAEO,IAAM,sBAAsB,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAE5D,IAAM,mBAAmB,CAAC,UAAkB,QAAQ,IAAI,KAAK,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,KAAK,GAAG;AAE9G,IAAM,kBAAkB,CAAC,QAAQ,WAAW,iBAAiB,KAAK,KAAK,IAAI,KAAK,MAAM,EAAE,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,CAAC,CAAC;AAItI,IAAM,yBAAyB,CAAC,GAAGC,OAAM,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAGA,EAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAEzE,IAAM,MAAM,CAACC,KAAcC,QAAiB;AACjD,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAID,IAAG,QAAQ;AAAK,eAAWA,IAAG,CAAC,IAAIC,IAAG,CAAC;AAC3D,SAAO;AACT;AAEO,IAAM,qBAAqB,CAAC,KAAK,gBAAgB;AACtD,QAAM,SAAmB,CAAC;AAC1B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ;AAAK,WAAO,KAAK,IAAI,CAAC,EAAE,WAAW,CAAC;AACpE,SAAO;AACT;AAEO,IAAM,4BAA4B,CAAC,MAAM,SAAS;AACvD,QAAM,UAAsB,CAAC;AAC7B,QAAMC,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,YAAQ,KAAK,CAAC,CAAC;AACf,aAAS,MAAM,GAAG,MAAMA,OAAM;AAAO,cAAQ,GAAG,EAAE,KAAK,IAAI,KAAK,GAAG,GAAG,mBAAmB,MAAM,GAAG,CAAC,CAAC;AAAA,EACtG;AACA,SAAO;AACT;AAEO,IAAM,sBAAsB,CAAC,UAAU,WAAW;AACvD,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AACpE,QAAM,oBAAoB,uBAAuB,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACrE,QAAM,2BAA2B,0BAA0B,mBAAmB,cAAc;AAC5F,QAAM,4BAA4B,uBAAuB,CAAC,OAAO,CAAC,GAAG,CAAC,OAAO,CAAC,CAAC;AAC/E,SAAO,0BAA0B,0BAA0B,yBAAyB;AACtF;AAEO,IAAM,wBAAwB,CAAC,WAAW;AAC/C,QAAM,oBAAoB,CAAC,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,CAAC;AACrF,QAAM,uBAAuB,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACxD,QAAM,sBAAsB,CAAC,CAAC,IAAI,kBAAkB,CAAC,GAAG,oBAAoB,GAAG,CAAC,IAAI,kBAAkB,CAAC,GAAG,oBAAoB,CAAC;AAC/H,SAAO,CAAC,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC,GAAG,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAC7H;AAEO,IAAM,cAAc,CAAC,uBAAuB,mBAAmB,CAAC,IAAI,uBAAuB,eAAe,CAAC,CAAC,GAAG,IAAI,uBAAuB,eAAe,CAAC,CAAC,CAAC;AAI5J,SAAS,gBAAgBC,aAAmB;AACjD,QAAM,OAAOA,gBAAc,MACvB,EAAE,SAAS,CAAC,CAAC,GAAG,SAAS,CAAC,CAAC,EAAE,IAC7B,EAAE,SAAS,CAACA,cAAY,IAAIA,cAAY,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,EAAE;AAChE,QAAMC,WAA8B,CAAC;AACrC,WAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,QAAQ,KAAK;AAC5C,UAAM,SAAS,KAAK,QAAQ,CAAC;AAC7B,UAAM,WAAW,KAAK,OAAOD,cAAY,SAAS,KAAK,MAAM;AAC7D,UAAM,WAAW,KAAK,OAAOA,cAAY,SAAS,KAAK,MAAM;AAC7D,UAAM,aAAa,KAAK,QAAQ,CAAC;AACjC,aAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,YAAM,UAAU,UAAU,QAAQ;AAClC,eAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,cAAM,UAAU,UAAU,QAAQ;AAClC,iBAAS,IAAI,GAAG,IAAI,YAAY;AAAK,UAAAC,SAAQ,KAAK,CAAC,SAAS,OAAO,CAAC;AAAA,MACtE;AAAA,IACF;AAAA,EACF;AACA,SAAOA;AACT;AAEO,SAAS,mBAAmB,WAAW,KAAK,OAAO,gBAAgBD,aAAW;AACnF,QAAM,UAAU,WAAW,GAAG;AAC9B,QAAM,eAAe,UAAU,IAAI,CAAC,UAAW;AAAA;AAAA,IAC5C,QAAQ,CAAC,IAAIA,eAAc,MAAM,CAAC,IAAKA,cAAY;AAAA,IACnD,QAAQ,CAAC,IAAIA,eAAc,MAAM,CAAC,IAAKA,cAAY;AAAA,IACnD,MAAM,CAAC,KAAK;AAAA,EACf,CAAE;AACF,QAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,KAAK,IAAI;AAChE,QAAM,uBAAuB,aAAa,oBAAoB,OAAO,CAAC,GAAG,CAAC,CAAC,IAAI;AAC/E,QAAM,gBAAgB,aAAa,aAAa,IAAI,CAAC,UAAW,CAAC,GAAG,YAAY,OAAO,oBAAoB,GAAG,MAAM,CAAC,CAAC,CAAE,IAAI;AAC5H,QAAM,wBAAwB,aAAa,sBAAsB,cAAc,IAAI;AACnF,QAAM,YAAY,aAAa,GAAG;AAClC,QAAM,UAAU,CAAC,IAAI,WAAW,sBAAsB,CAAC,CAAC,GAAG,IAAI,WAAW,sBAAsB,CAAC,CAAC,CAAC;AACnG,SAAO,cAAc,IAAI,CAAC,UAAW;AAAA,IACnC,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,CAAC,CAAC;AAAA,IAChC,KAAK,MAAM,MAAM,CAAC,IAAI,QAAQ,CAAC,CAAC;AAAA,IAChC,KAAK,MAAM,MAAM,CAAC,KAAK,CAAC;AAAA,EAC1B,CAAE;AACJ;AAEO,SAAS,oBAAoB,QAAQ,KAAK,OAAOA,aAAW;AACjE,QAAM,eAAgB,IAAI,UAAU,UAAiB,cAAc,QACxD,cAAc,eACd,mBAAmB;AAC9B,MAAI,QAAQ;AACZ,MAAI,iBAAiB;AACrB,MAAIE;AAEJ,MAAI,UAAU,IAAI,QAAQ,SAAS,kBAAkB,GAAG;AACtD,YAAQ,gBAAgB,IAAI,UAAU,aAAa,CAAC,CAAC,GAAG,IAAI,UAAU,aAAa,CAAC,CAAC,CAAC;AACtF,UAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,KAAK,IAAI;AAChE,QAAI,YAAY;AACd,YAAM,SAAgB,aAAa,GAAG;AACtC,YAAM,YAAmB,CAAC,OAAO,CAAC,IAAI,MAAM,MAAM,CAAC,GAAG,OAAO,CAAC,IAAI,MAAM,MAAM,CAAC,CAAC;AAChF,YAAM,UAAa,GAAM,iBAAiB,OAAO,OAAO,GAAG,CAAC,UAAU,CAAC,GAAG,UAAU,CAAC,CAAC,CAAC;AACvF,uBAAiB,oBAAoB,CAAC,OAAO,MAAM;AACnD,MAAAA,QAAO,aAAa,KAAK,SAAS,CAACF,aAAWA,WAAS,CAAC;AACxD,MAAG,GAAQ,OAAO;AAAA,IACpB,OAAO;AACL,MAAAE,QAAO,aAAa,KAAK,OAAO,CAACF,aAAWA,WAAS,CAAC;AAAA,IACxD;AAAA,EACF,OAAO;AACL,IAAAE,QAAO,aAAa,KAAK,OAAO,CAACF,aAAWA,WAAS,CAAC;AAAA,EACxD;AACA,SAAO,CAAC,OAAO,gBAAgBE,KAAI;AACrC;AAEO,IAAM,iBAAiB,CAAC,SAAS;AACtC,QAAM,IAAI,KAAK,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AAC9B,QAAMC,KAAI,KAAK,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AAO9B,SAAO,CAAC,KAAK,IAAI,GAAG,CAAC,KAAK,KAAK,IAAI,GAAG,CAAC,IAAI,KAAK,IAAI,GAAG,CAAC,KAAK,GAAG,KAAK,IAAI,GAAGA,EAAC,KAAK,KAAK,IAAI,GAAGA,EAAC,IAAI,KAAK,IAAI,GAAGA,EAAC,KAAK,CAAC;AACxH;AAEO,IAAM,mBAAmB,CAAC,MAAM,gBAAgB;AACrD,QAAM,SAAS,eAAe,IAAI;AAClC,QAAM,UAAU,WAAW,WAAW;AACtC,QAAM,gBAAgB;AAAA,IACpB,YAAY,CAAC,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,GAAG,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,CAAC;AAAA,IACnE,UAAU,CAAC,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,GAAG,OAAO,CAAC,IAAI,QAAQ,CAAC,IAAI,CAAC;AAAA,EACnE;AACA,SAAO;AACT;;;AC5NA,IAAM,iBAAiB;AACvB,IAAM,qBAAqB;AAC3B,IAAIC;AACJ,IAAI,UAAyB;AAC7B,IAAIC,aAAY;AAChB,IAAI,aAA4B;AAIzB,IAAM,OAAO,MAAMA;AAE1B,eAAsBC,MAAKC,SAAqC;AA1BhE,MAAAC;AA2BE,MAAI,IAAI;AAAS,IAAAJ,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUI,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAAA,WAC1DD,QAAO;AAAO,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAC7D,EAAAC,aAAaD,OAAM,UAAU,KAAKA,OAAM,OAAO,CAAC,EAAE,QAASA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AACtF,eAAgB,GAAOC,YAAW,OAAO;AACzC,YAAa,GAAc,gBAAgBA,UAAS,CAAC;AACrD,SAAOD;AACT;AAEA,SAASK,aAAY,YAAoB;AACvC,MAAI,CAAC,WAAW,CAAC;AAAY,WAAU,GAAM,CAAC,GAAG,CAAC,CAAC;AACnD,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,YAAe,GAAM,YAAY,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAClD,EAAAA,IAAE,UAAa,GAAIA,IAAE,WAAW,OAAO;AACvC,EAAAA,IAAE,WAAc,GAAM,YAAY,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,EAAAA,IAAE,qBAAwB,GAAIA,IAAE,UAAU,UAAU;AACpD,EAAAA,IAAE,oBAAuB,GAAIA,IAAE,SAAS,UAAU;AAClD,EAAAA,IAAE,cAAiB,GAAIA,IAAE,oBAAoB,UAAU,GAAG;AAC1D,EAAAA,IAAE,SAAY,GAAIA,IAAE,mBAAmBA,IAAE,WAAW;AACpD,EAAAA,IAAE,OAAU,GAAIA,IAAE,mBAAmBA,IAAE,WAAW;AAClD,EAAAA,IAAE,kBAAqB,GAAIA,IAAE,QAAQ,UAAU;AAC/C,EAAAA,IAAE,gBAAmB,GAAIA,IAAE,MAAM,UAAU;AAC3C,QAAM,QAAW,GAAS,CAACA,IAAE,iBAA6BA,IAAE,aAAyB,GAAG,CAAC;AACzF,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEA,eAAsB,SAAS,YAAsBH,SAAsC;AAtD3F,MAAAC,KAAA,IAAAG,KAAAC,KAAA,IAAAC;AAwDE,MAAK,CAAC,cAAgB,WAAW,oBAAoB,KAAO,WAAW,MAAM,WAAW,KAAO,WAAW,MAAM,CAAC,IAAI,KAAO,WAAW,MAAM,CAAC,IAAI;AAAI,WAAO,CAAC;AAC9J,QAAMH,MAA4B,CAAC;AACnC,EAAAA,IAAE,UAAa,GAAM,eAAe,YAAY,CAACL,YAAWA,UAAS,CAAC;AACtE,EAAAK,IAAE,MAAS,GAAIA,IAAE,SAAS,UAAU,KAAK;AACzC,EAAAA,IAAE,aAAgB,GAAIA,IAAE,KAAK,UAAU,IAAI;AAC3C,QAAM,MAAMN,UAAA,gBAAAA,OAAO,QAAQM,IAAE;AAC7B,MAAI,MAAM,QAAQ,GAAG,KAAK,IAAI,SAAS,GAAG;AACxC,UAAM,SAAS,IAAI,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE,IAAI;AACjD,IAAAA,IAAE,YAAe,GAAO,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC,GAAG,CAAC;AACjD,IAAAA,IAAE,YAAe,GAAO,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC,GAAG,CAAC;AACjD,IAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,WAAWA,IAAE,SAAS,GAAG,CAAC;AAClD,IAAAA,IAAE,QAAW,GAAQA,IAAE,QAAQ,CAAC,CAAC,CAAC;AAAA,EACpC,WAAW,MAAM,QAAQ,GAAG,GAAG;AAC7B,IAAAA,IAAE,QAAW,GAAQ,IAAI,CAAC,CAAC;AAAA,EAC7B,OAAO;AACL,IAAAA,IAAE,QAAW,GAAQ,GAAG;AAAA,EAC1B;AACA,EAAG,GAAQ,GAAG;AACd,EAAAA,IAAE,QAAQD,aAAYC,IAAE,KAAK;AAC7B,EAAAA,IAAE,SAAY,GAAMA,IAAE,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC5C,EAAAA,IAAE,UAAa,GAAQA,IAAE,MAAM;AAC/B,EAAAA,IAAE,SAAY,GAAQA,IAAE,OAAO;AAC/B,EAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,UAAqBF,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,gBAAe,KAAK,KAAAD,QAAO,KAAK,aAAZ,mBAAsB,iBAAgB,KAAKI,MAAAJ,QAAO,KAAK,aAAZ,gBAAAI,IAAsB,kBAAiB,CAAE;AACxN,QAAM,MAAM,MAAMD,IAAE,IAAI,MAAM;AAC9B,QAAM,QAAqB,CAAC;AAC5B,QAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,aAAa,OAAO,IAAI,CAAC,CAAC;AAEhC,QAAI,gBAAcE,MAAAL,QAAO,KAAK,aAAZ,gBAAAK,IAAsB,kBAAiB,IAAI;AAC3D,YAAM,IAA4B,CAAC;AACnC,QAAE,OAAU,GAAMF,IAAE,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AAC/C,QAAE,QAAW,GAAMA,IAAE,OAAO,CAAC,IAAI,CAAC,GAAG,iBAAiB,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AACjE,QAAE,UAAa,GAAQ,EAAE,KAAK;AAC9B,QAAE,YAAe,EAAQ,EAAE,SAAS,CAAC,gBAAgB,EAAE,CAAC;AACxD,YAAM,SAAS,MAAM,EAAE,KAAK,KAAK;AACjC,YAAM,SAAS;AAAA,QACb,YAAY,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AAAA,QACjC,UAAU,CAAC,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AAAA,QAC/B,WAAY,MAAM,EAAE,UAAU,MAAM;AAAA,QACpC;AAAA,MACF;AACA,QAAE,SAAY,GAAM,SAAmB,CAAC,IAAI,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAC1D,YAAM,SAAS,MAAM,EAAE,OAAO,KAAK;AACnC,YAAM,YAAiB,oBAAoB,QAAQ,EAAE,WAAW,MAAM,CAAC,KAAK,KAAKL,aAAY,WAAW,MAAM,CAAC,KAAK,KAAKA,UAAS,GAAG,MAAM;AAC3I,YAAM,cAAmB,WAAW,WAAWE,QAAO,KAAK,OAAO,KAAK,kBAAkB;AACzF,YAAM,aAAkB,YAAY,WAAW;AAC/C,UAAI,WAAW,KAAK,CAAC,OAAK,KAAAA,QAAO,KAAK,aAAZ,mBAAuB,eAAc,MAAM,WAAW,KAAK,CAAC,OAAKM,MAAAN,QAAO,KAAK,aAAZ,gBAAAM,IAAuB,eAAc;AAAI,cAAM,KAAK,UAAU;AACzJ,aAAO,KAAK,CAAC,EAAE,QAAQ,CAAC,WAAc,GAAQ,EAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AAAA,EACF;AACA,SAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACnGA,IAAII;AACJ,IAAIC,aAAY;AAEhB,IAAM,cAAc;AAEpB,IAAM,cAAqB,gBAAgB;AAC3C,IAAM,eAAsB,gBAAgB;AAE5C,IAAM,eAAe;AAAA,EACnB,YAAY,CAAC,YAAY,CAAC,GAAG,YAAY,YAAY,SAAS,CAAC,CAAC;AAAA,EAChE,aAAa,CAAC,aAAa,CAAC,GAAG,aAAa,aAAa,SAAS,CAAC,CAAC;AACtE;AAEA,IAAM,gBAAgB;AAAA,EACpB,aAAa;AAAA,EACb,aAAa;AAAA,EACb,OAAO;AAAA,EACP,gBAAgB;AAClB;AAEA,eAAsBC,MAAKC,SAAqC;AA9BhE,MAAAC,KAAA;AA+BE,MAAI,IAAI;AAAS,IAAAJ,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUI,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,SAAS;AAAA,WACtDD,QAAO;AAAO,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAC7D,EAAAC,cAAaD,UAAA,gBAAAA,OAAQ,kBAAe,KAAAA,OAAM,WAAN,mBAAe,GAAG,SAASA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AAC1F,MAAIC,eAAc;AAAI,IAAAA,aAAY;AAClC,SAAOD;AACT;AAGO,SAAS,kBAAkB,WAAW,WAAW,QAAQ,MAAM;AACpE,WAAS,IAAI,GAAG,IAAW,YAAY,QAAQ,KAAK;AAClD,UAAM,EAAE,KAAK,QAAQ,IAAW,YAAY,CAAC;AAC7C,UAAM,kBAAyB,gBAAgB,GAAG,SAAS,KAAK;AAChE,QAAI,CAAC,QAAQ,KAAK,SAAS,GAAG,GAAG;AAC/B,eAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ,KAAK;AACvC,cAAMK,SAAQ,QAAQ,CAAC;AACvB,kBAAU,gBAAgB,CAAC,CAAC,IAAI;AAAA,UAC9B,UAAUA,MAAK,EAAE,CAAC;AAAA,UAClB,UAAUA,MAAK,EAAE,CAAC;AAAA,WACjB,UAAUA,MAAK,EAAE,CAAC,IAAI,UAAU,gBAAgB,CAAC,CAAC,EAAE,CAAC,KAAK;AAAA,QAC7D;AAAA,MACF;AAAA,IACF;AAAA,EACF;AACF;AAEO,IAAM,mCAAmC,CAAC,cAAc;AAC7D,QAAM,WAAW,UAAU,aAAa,WAAW,CAAC,CAAC,EAAE,CAAC;AACxD,QAAM,YAAY,UAAU,aAAa,YAAY,CAAC,CAAC,EAAE,CAAC;AAC1D,SAAO,WAAW;AACpB;AAGO,IAAM,YAAY,CAAC,WAAWC,OAAM,qBAAqB,qBAAqB,UAAU,OAAO,UAAU;AAC9G,QAAM,MAAW,YAAiB,WAAgB,8BAA8B,CAAC,UAAU,mBAAmB,GAAG,UAAU,mBAAmB,CAAC,CAAC,GAAG,WAAW,CAAC;AAC/J,QAAM,UAAe,WAAW,GAAG;AACnC,MAAI,OAAU,GAAM,cAAcA,OAAM,CAAC;AAAA,IACvC,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,WAAW,CAAC,IAAI;AAAA,IAAU,IAAI,SAAS,CAAC,IAAI;AAAA,IAChD,IAAI,SAAS,CAAC,IAAI;AAAA,EACpB,CAAC,GAAG,CAAC,CAAC,GAAG,CAACL,YAAWA,UAAS,CAAC;AAC/B,MAAI,QAAQ,IAAI,QAAQ,SAAS,eAAe,GAAG;AACjD,UAAM,UAAa,GAAM,cAAc,IAAI;AAC3C,IAAG,GAAQ,IAAI;AACf,WAAO;AAAA,EACT;AACA,SAAO,EAAE,KAAK,SAAS,KAAK;AAC9B;AAGO,IAAM,eAAe,CAAC,SAAS,QAAQ,YAAY,OAAO,UAAU;AACzE,QAAM,eAAwB,CAAC;AAC/B,WAAS,IAAI,GAAG,IAAI,cAAc,gBAAgB,KAAK;AACrD,UAAM,IAAI,QAAQ,IAAI,CAAC;AACvB,UAAMM,KAAI,QAAQ,IAAI,IAAI,CAAC;AAC3B,UAAM,IAAI,QAAQ,IAAI,IAAI,CAAC;AAC3B,iBAAa,KAAK;AAAA,OACf,OAAQ,IAAK,IAAIN,aAAe,IAAIA,cAAc,WAAW,CAAC,IAAI,OAAO,WAAW,CAAC;AAAA,MACrFM,KAAIN,aAAa,WAAW,CAAC,IAAI,OAAO,WAAW,CAAC;AAAA,MAAG;AAAA,IAC1D,CAAC;AAAA,EACH;AACA,SAAO,EAAE,WAAW,cAAc,MAAM,aAAa,MAAM,cAAc,KAAK,EAAE;AAClF;AAGO,IAAM,wBAAwB,CAAC,WAAW,YAAY,cAAc;AACzE,QAAM,eAAe,UAAiB,gBAAgB,GAAG,oBAAoB,EAAE,cAAc,WAAW,CAAC,EAAE,CAAC;AAC5G,QAAM,eAAe,UAAiB,gBAAgB,GAAG,oBAAoB,EAAE,cAAc,WAAW,CAAC,EAAE,CAAC;AAC5G,QAAM,YAAY,eAAe,gBAAgB;AAEjD,SAAO,WAAW,IAAI,CAAC,OAAO,MAAM;AAClC,QAAI,IAAI;AACR,QAAI,MAAM,GAAG;AACX,UAAI;AAAA,IACN,WAAW,MAAM,GAAG;AAClB,UAAI;AAAA,IACN;AACA,WAAO,CAAC,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,CAAC;AAAA,EAC/B,CAAC;AACH;AAEA,eAAsB,YAAY,WAAWK,OAAM,UAAU;AAC3D,MAAI,EAACN,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAM,EAAE,KAAK,YAAY,SAAS,gBAAgB,MAAM,YAAY,IAAI,UAAU,WAAWM,OAAM,aAAa,WAAW,CAAC,GAAG,aAAa,WAAW,CAAC,GAAG,UAAU,IAAI;AACzK,QAAM,EAAE,KAAK,aAAa,SAAS,iBAAiB,MAAM,aAAa,IAAI,UAAU,WAAWA,OAAM,aAAa,YAAY,CAAC,GAAG,aAAa,YAAY,CAAC,GAAG,UAAU,IAAI;AAC9K,QAAM,WAAc,GAAO,CAAC,aAAa,YAAY,CAAC;AACtD,EAAG,GAAQ,WAAW;AACtB,EAAG,GAAQ,YAAY;AACvB,QAAM,iBAAiBN,OAAM,QAAQ,QAAQ;AAC7C,EAAG,GAAQ,QAAQ;AACnB,QAAM,qBAAqB,MAAM,eAAe,KAAK;AACrD,EAAG,GAAQ,cAAc;AACzB,QAAM,cAAc,mBAAmB,MAAM,GAAG,cAAc,iBAAiB,CAAC;AAChF,QAAM,EAAE,WAAW,kBAAkB,MAAM,kBAAkB,IAAI,aAAa,aAAa,YAAY,gBAAgB,IAAI;AAC3H,QAAM,eAAe,mBAAmB,MAAM,cAAc,iBAAiB,CAAC;AAC9E,QAAM,EAAE,WAAW,mBAAmB,MAAM,mBAAmB,IAAI,aAAa,cAAc,aAAa,iBAAiB,KAAK;AACjI,QAAM,gCAAgC,iCAAiC,SAAS;AAChF,MAAI,KAAK,IAAI,6BAA6B,IAAI,IAAI;AAChD,sBAAkB,WAAW,kBAAkB,QAAQ,IAAI;AAC3D,sBAAkB,WAAW,mBAAmB,SAAS,IAAI;AAAA,EAE/D,WAAW,gCAAgC,GAAG;AAC5C,sBAAkB,WAAW,kBAAkB,QAAQ,CAAC,aAAa,WAAW,CAAC;AAAA,EACnF,OAAO;AACL,sBAAkB,WAAW,mBAAmB,SAAS,CAAC,aAAa,WAAW,CAAC;AAAA,EACrF;AACA,QAAM,yBAAyB,sBAAsB,WAAW,mBAAmB,MAAM;AACzF,QAAM,0BAA0B,sBAAsB,WAAW,oBAAoB,OAAO;AAC5F,QAAM,YAAY,UAAU,OAAO,sBAAsB,EAAE,OAAO,uBAAuB;AACzF,SAAO;AACT;;;AC1IA,eAAsB,QAAQ,WAAW,SAAmB;AAH5D,MAAAQ,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC;AAIE,QAAMC,MAAkC;AAAA;AAAA;AAAA;AAAA,IAGtC,MAAM,QAAM,MAAAR,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,gBAAAA,IAAwC,OAAxC,mBAA4C;AAAA;AAAA,IACxD,OAAO,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,EAAE,MAAnC,gBAAAA,IAAuC,OAAvC,gBAAAC,IAA2C;AAAA;AAAA,IACxD,MAAM,QAAMC,OAAA,aAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,mBAAwC,OAAxC,gBAAAA,IAA4C;AAAA;AAAA,IACxD,OAAO,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,EAAE,MAAnC,gBAAAA,IAAuC,OAAvC,gBAAAC,IAA2C;AAAA;AAAA,IACxD,MAAM,QAAME,OAAAD,MAAA,QAAQ,OAAO,CAAC,MAAM,EAAE,SAAS,GAAG,MAApC,gBAAAA,IAAwC,OAAxC,gBAAAC,IAA4C;AAAA;AAAA,EAC1D;AACA,aAAW,OAAO,OAAO,OAAOC,GAAC,GAAG;AAClC,QAAI,CAAC;AAAK,aAAO;AAAA,EACnB;AAGA,QAAM,aAAuB,qCAAqC,OAAO,CAAC,MAAM,SAAS,QAAQ,UAAU,IAAI,EAAE,CAAC,GAAG,CAAC,IAAc,qCAAqC;AACzK,WAAS,IAAI,GAAG,IAAIA,IAAE,MAAM,SAAS,GAAG;AAAK,cAAU,KAAK,CAACA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAGA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAG,UAAU,CAAC;AAChH,QAAM,aAAuB,sCAAsC,OAAO,CAAC,MAAM,SAAS,QAAQ,UAAU,IAAI,EAAE,CAAC,GAAG,CAAC,IAAc,sCAAsC;AAC3K,WAAS,IAAI,GAAG,IAAIA,IAAE,MAAM,SAAS,GAAG;AAAK,cAAU,KAAK,CAACA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAGA,IAAE,MAAM,IAAI,IAAI,CAAC,GAAG,UAAU,CAAC;AAGhH,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,qCAAqC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,qCAAqC,CAAC,CAAC,EAAE,CAAC,CAAC;AACjN,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,sCAAsC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,sCAAsC,CAAC,CAAC,EAAE,CAAC,CAAC;AAGnN,WAAS,IAAI,GAAG,IAAIA,IAAE,KAAK,SAAS,GAAG;AAAK,cAAoB,iCAAiC,CAAC,CAAC,IAAI,CAACA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAGA,IAAE,KAAK,IAAI,IAAI,CAAC,GAAG,UAAoB,iCAAiC,CAAC,CAAC,EAAE,CAAC,CAAC;AAEzM,SAAO;AACT;;;ACPA,IAAMC,SAAQ;AAAA,EACZ,OAAO,CAAC;AAAA,EACR,SAAS,OAAO;AAAA,EAChB,WAAW;AACb;AAEA,IAAIC,SAA2B;AAC/B,IAAIC,aAAY;AAEhB,eAAsBC,SAAQ,OAAiBC,SAAuC;AAjCtF,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC;AAmCE,QAAM,cAAYP,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,aAAY,KAAM,IAAI,IAAIL,OAAM;AACxE,QAAM,YAAYA,OAAM,aAAW,KAAAI,QAAO,KAAK,aAAZ,mBAAsB,eAAc;AACvE,MAAI,CAACA,QAAO,eAAe,CAAC,YAAY,CAAC,aAAaJ,OAAM,MAAM,WAAW,GAAG;AAC9E,IAAAA,OAAM,QAAQ,MAAgB,SAAS,OAAOI,OAAM;AACpD,IAAAJ,OAAM,YAAY,IAAI;AACtB,IAAAA,OAAM,UAAU;AAAA,EAClB,OAAO;AACL,IAAAA,OAAM;AAAA,EACR;AACA,QAAM,QAAsB,CAAC;AAC7B,QAAM,WAAwB,CAAC;AAC/B,MAAIa,MAAK;AACT,QAAMC,QAAOZ;AACb,WAAS,IAAI,GAAG,IAAIF,OAAM,MAAM,QAAQ,KAAK;AAC3C,UAAM,MAAMA,OAAM,MAAM,CAAC;AACzB,QAAI,QAAQ;AACZ,QAAI;AACJ,UAAMe,QAAmB;AAAA;AAAA,MACvB,IAAIF;AAAA,MACJ,MAAM,CAAC;AAAA,MACP,SAAS,CAAC;AAAA,MACV,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,MAChB,QAAQ,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,MACnB,OAAO;AAAA,MACP,UAAU;AAAA,MACV,WAAW;AAAA,MACX,MAAM,CAAC,GAAG,CAAC;AAAA;AAAA;AAAA,MAGX,aAAa,CAAC;AAAA,IAChB;AAGA,KAAC,OAAO,gBAAgBE,MAAK,MAAM,IAAS,qBAAoBT,MAAAF,QAAO,KAAK,aAAZ,gBAAAE,IAAsB,UAAU,KAAK,SAAOC,MAAAH,QAAO,KAAK,SAAZ,gBAAAG,IAAkB,WAAUL,aAAsB,KAAK,CAAC;AACpK,QAAIE,QAAO,OAAO,cAAc;AAC9B,YAAM,YAAYW,MAAK,SAAS,MAAM,sBAAsBA,MAAK,MAAM,IAAI;AAC3E,MAAG,GAAQA,MAAK,MAAM;AACtB,UAAI;AAAW,QAAAA,MAAK,SAAS;AAAA,IAC/B;AACA,IAAAA,MAAK,WAAW,KAAK,MAAM,MAAM,IAAI,UAAU,IAAI;AACnD,QAAI,GAAC,KAAAX,QAAO,KAAK,SAAZ,mBAAkB,YAAW,EAACH,UAAA,gBAAAA,OAAQ,cAAa;AACtD,MAAAc,MAAK,MAAW,SAAS,KAAK,KAAK;AACnC,MAAAA,MAAK,SAAc,UAAU,KAAK,KAAK;AACvC,MAAAA,MAAK,QAAQA,MAAK;AAClB,MAAAA,MAAK,OAAO,IAAI;AAChB,MAAAA,MAAK,OAAO,IAAI;AAChB,MAAAA,MAAK,UAAUA,MAAK,KAAK,IAAI,CAACC,QAAO,CAACA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAIA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAKA,IAAG,CAAC,KAAK,KAAKF,KAAI,CAAC;AACxH,iBAAW,OAAO,OAAO,KAAY,kBAAkB;AAAG,QAAAC,MAAK,YAAY,GAAG,IAAI,CAACA,MAAK,KAAY,mBAAmB,GAAG,CAAW,CAAC;AAAA,IACxI,WAAW,CAACd,QAAO;AACjB,UAAIG,QAAO;AAAO,YAAI,wDAAwD;AAAA,IAChF,OAAO;AACL,YAAII,MAAAJ,QAAO,KAAK,cAAZ,gBAAAI,IAAuB,YAAW,CAAC,IAAI,QAAQ,SAAS,OAAO,GAAG;AACpE,QAAAJ,QAAO,KAAK,UAAU,UAAU;AAChC,QAAG,GAAQW,MAAK,MAAM;AACtB,eAAO;AAAA,MACT;AACA,YAAM,UAAUd,OAAM,QAAQc,MAAK,MAAgB;AACnD,YAAM,cAAc,QAAQ,KAAK,CAACE,QAAMA,IAAE,MAAMA,IAAE,MAAM,SAAS,CAAC,MAAM,CAAC;AACzE,YAAM,iBAAiB,MAAM,YAAY,KAAK;AAC9C,MAAAF,MAAK,YAAY,KAAK,MAAM,MAAM,eAAe,CAAC,CAAC,IAAI;AACvD,UAAIA,MAAK,eAAaN,MAAAL,QAAO,KAAK,aAAZ,gBAAAK,IAAsB,kBAAiB,IAAI;AAC/D,YAAI,aAAaM,MAAK;AACtB,YAAIX,QAAO,KAAK,KAAK,aAAa,GAAG;AACnC,UAAAW,MAAK,MAAW,SAAS,KAAK,KAAK;AACnC,UAAAA,MAAK,SAAc,UAAU,KAAK,KAAK;AACvC,UAAAA,MAAK,QAAQA,MAAK;AAClB,UAAAA,MAAK,OAAO,IAAI;AAChB,UAAAA,MAAK,UAAUA,MAAK,KAAK,IAAI,CAACC,QAAO,CAACA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAIA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAKA,IAAG,CAAC,KAAK,KAAKF,KAAI,CAAC;AACxH,qBAAW,OAAO,OAAO,KAAY,kBAAkB,GAAG;AACxD,YAAAC,MAAK,YAAY,GAAG,IAAI,CAACA,MAAK,KAAY,mBAAmB,GAAG,CAAW,CAAC;AAAA,UAC9E;AAAA,QACF;AAAA,MACF,OAAO;AACL,cAAM,QAAQ,QAAQ,KAAK,CAACE,QAAMA,IAAE,MAAMA,IAAE,MAAM,SAAS,CAAC,MAAM,IAAI;AACtE,cAAM,iBAAoB,EAAQ,OAAO,CAAC,IAAI,CAAC,CAAC;AAChD,YAAI,YAAY,MAAM,eAAe,MAAM;AAC3C,QAAG,GAAQ,cAAc;AACzB,aAAIP,MAAAN,QAAO,KAAK,cAAZ,gBAAAM,IAAuB,SAAS;AAClC,sBAAY,MAAgB,QAAQ,WAAW,OAAO;AAAA,QACxD,YAAWC,MAAAP,QAAO,KAAK,SAAZ,gBAAAO,IAAkB,SAAS;AACpC,sBAAY,MAAW,YAAY,WAAWI,MAAK,QAAQb,UAAS;AAAA,QACtE;AACA,QAAAa,MAAK,OAAY,mBAAmB,WAAW,KAAK,OAAO,gBAAgBb,UAAS;AACpF,QAAAa,MAAK,UAAUA,MAAK,KAAK,IAAI,CAACC,QAAO,CAACA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAIA,IAAG,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAKA,IAAG,CAAC,KAAK,KAAKF,KAAI,CAAC;AACxH,mBAAW,OAAO,OAAO,KAAY,eAAe;AAAG,UAAAC,MAAK,YAAY,GAAG,IAAW,gBAAgB,GAAG,EAAE,IAAI,CAACG,WAAUH,MAAK,KAAKG,MAAK,CAAC;AAC1I,QAAAH,MAAK,QAAQA,MAAK;AAClB,cAAM,gBAAgB;AAAA,UACpB,GAAQ,iBAAiBA,MAAK,MAAM,GAAG;AAAA,UACvC,YAAY,IAAI;AAAA,UAChB,WAAW,IAAI;AAAA,UACf,MAAM,IAAI;AAAA,QACZ;AACA,QAAAA,MAAK,MAAW,SAAS,eAAe,KAAK;AAC7C,QAAAA,MAAK,SAAc,UAAU,eAAe,KAAK;AAQjD,iBAAS,KAAK,aAAa;AAAA,MAC7B;AACA,MAAG,GAAQ,OAAO;AAAA,IACpB;AACA,QAAIA,MAAK,WAASH,MAAAR,QAAO,KAAK,aAAZ,gBAAAQ,IAAsB,kBAAiB;AAAI,YAAM,KAAKG,KAAI;AAAA;AACvE,MAAG,GAAQA,MAAK,MAAM;AAAA,EAC7B;AACA,EAAAf,OAAM,QAAQ;AACd,SAAO;AACT;AAEA,eAAsBmB,MAAKf,SAAqC;AAnJhE,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC;AAoJE,MAAI,IAAI;AAAS,IAAAP,SAAQ;AACzB,QAAII,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,aAAWJ,UAAA,gBAAAA,OAAQ,eAAc;AAC1D,QAAI,OAAO,OAAK,KAAAA,UAAA,gBAAAA,OAAQ,iBAAR,mBAAsB,YAAW,CAAC,CAAC,EAAE,SAAS;AAAG,MAAAA,SAAQ;AAAA,EAC3E;AACA,MAAI,CAACA,QAAO;AACV,SAAIK,MAAAF,QAAO,KAAK,cAAZ,gBAAAE,IAAuB;AAAS,MAAAL,SAAQ,MAAM,UAAUG,QAAO,KAAK,UAAU,SAAS;AAAA;AACtF,MAAAH,SAAQ,MAAM,WAAUM,MAAAH,QAAO,KAAK,SAAZ,gBAAAG,IAAkB,SAAS;AAAA,EAC1D,WAAWH,QAAO,OAAO;AACvB,QAAI,iBAAiBH,OAAM,UAAU,CAAC;AAAA,EACxC;AACA,EAAAC,aAAaD,OAAM,UAAU,OAAK,KAAAA,UAAA,gBAAAA,OAAO,WAAP,mBAAgB,GAAG,UAASO,MAAAP,UAAA,gBAAAA,OAAO,WAAP,gBAAAO,IAAgB,GAAG,MAAM,KAAK;AAC5F,SAAOP;AACT;AAEO,IAAM,gBAAuB;AAC7B,IAAM,QAAe;;;ACpJ5B,IAAI,cAAwB,CAAC;AAC7B,IAAImB;AACJ,IAAMC,QAAgD,CAAC;AACvD,IAAI,YAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AACrB,IAAI,MAAM;AAEV,eAAsBC,MAAKC,SAAqC;AAvBhE,MAAAC,KAAA,IAAAC;AAwBE,MAAI,IAAI;AAAS,IAAAP,SAAQ;AACzB,MAAI,CAACA,QAAO;AACV,IAAAA,SAAQ,MAAM,WAAUM,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,SAAS;AACtD,YAAMC,OAAA,KAAAP,UAAA,gBAAAA,OAAO,WAAP,mBAAgB,GAAG,UAAnB,gBAAAO,IAA2B,QAAO;AACxC,QAAI,CAAC;AAAK,oBAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,OAAO,YAAY,SAAS;AAAA;AACrF,oBAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,WAAW,OAAO,UAAU;AAAA,EACvF,WAAWF,QAAO,OAAO;AACvB,QAAI,iBAAiBL,OAAM,UAAU,CAAC;AAAA,EACxC;AACA,SAAOA;AACT;AAEA,eAAsBQ,SAAQ,OAAiBH,SAAgB,KAAaI,QAA+D;AApC3I,MAAAH,KAAA;AAqCE,MAAI,CAACN;AAAO,WAAO,CAAC;AACpB,QAAM,YAAYG,cAAWG,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,eAAc;AAChE,QAAM,cAAY,KAAAD,QAAO,KAAK,YAAZ,mBAAqB,aAAY,KAAM,IAAI,IAAIH;AACjE,MAAIG,QAAO,eAAe,YAAY,aAAc,cAAcI,UAAUR,MAAK,GAAG,KAAMA,MAAK,GAAG,EAAE,SAAS,GAAI;AAC/G,IAAAE;AACA,WAAOF,MAAK,GAAG;AAAA,EACjB;AACA,EAAAE,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA7CxC,QAAAG,KAAAI,KAAAH;AA8CI,UAAM,MAA6C,CAAC;AACpD,SAAID,MAAAD,QAAO,KAAK,YAAZ,gBAAAC,IAAqB,SAAS;AAChC,YAAMK,MAA4B,CAAC;AACnC,YAAMC,eAAYZ,UAAA,gBAAAA,OAAO,OAAO,GAAG,SAAQA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AACtE,YAAIU,MAAAL,QAAO,KAAK,YAAZ,gBAAAK,IAAsB,WAAU,GAAG;AACrC,cAAM,QAAOH,MAAAF,QAAO,KAAK,YAAZ,gBAAAE,IAAsB;AACnC,cAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,QAAAI,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACC,aAAWA,WAAS,CAAC;AAAA,MAC3E,OAAO;AACL,QAAAD,IAAE,SAAY,GAAM,eAAe,OAAO,CAACC,aAAWA,WAAS,GAAG,KAAK;AAAA,MACzE;AACA,UAAI,KAAK;AACP,QAAAD,IAAE,MAAS,GAAIA,IAAE,QAAQ,GAAG;AAC5B,QAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,CAAC,SAAS,SAAS,MAAM,CAAC;AACtD,QAAAA,IAAE,UAAUX,UAAA,gBAAAA,OAAO,QAAQW,IAAE;AAAA,MAC/B,OAAO;AAOL,QAAAA,IAAE,WAAc,GAAIA,IAAE,QAAQ,UAAU,GAAG;AAC3C,QAAAA,IAAE,YAAe,GAAIA,IAAE,UAAU,GAAG,IAAI;AACxC,QAAAA,IAAE,eAAkB,GAAIA,IAAE,WAAW,UAAU,IAAI;AACnD,QAAAA,IAAE,eAAkB,GAAIA,IAAE,cAAc,UAAU,GAAG;AACrD,QAAAA,IAAE,UAAUX,UAAA,gBAAAA,OAAO,QAAQW,IAAE;AAAA,MAC/B;AACA,MAAAT,YAAW,IAAI;AACf,YAAM,OAAO,MAAMS,IAAE,QAAQ,KAAK;AAClC,eAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,YAAI,KAAK,CAAC,KAAKN,QAAO,KAAK,QAAQ,iBAAiB;AAAI,cAAI,KAAK,EAAE,OAAO,KAAK,IAAI,MAAM,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,GAAG,GAAG,SAAS,YAAY,CAAC,EAAa,CAAC;AAAA,MACjK;AACA,UAAI,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACpC,aAAO,KAAKM,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAV,MAAK,GAAG,IAAI;AACZ,gBAAYQ;AACZ,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AClEA,IAAII;AACJ,IAAMC,QAAkB,CAAC;AAEzB,IAAIC,YAAW;AACf,IAAIC,aAAY;AAChB,IAAIC,WAAU,OAAO;AAErB,eAAsBC,MAAKC,SAAqC;AA3BhE,MAAAC;AA4BE,MAAI,IAAI;AAAS,IAAAP,SAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,SAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,SAAS;AAAA,WAC7DD,QAAO;AAAO,QAAI,iBAAiBN,OAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEO,SAAS,QAAQ,OAAOM,SAAwB;AAlCvD,MAAAC,KAAA;AAmCE,QAAM,SAAU,MAAM,SAAS,MAAM,UAAU;AAC/C,MAAI,EAACP,UAAA,gBAAAA,OAAO,OAAO,GAAG;AAAO,WAAO;AACpC,MAAI;AACJ,QAAIO,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAA0B,WAAU,GAAG;AACzC,UAAM,WAAU,KAAAD,QAAO,KAAK,gBAAZ,mBAA0B;AAC1C,UAAM,MAAM,CAAC,CAAC,SAAS,SAAS,IAAI,SAAS,IAAI,OAAO,CAAC;AACzD,WAAU,GAAM,cAAc,QAAQ,KAAK,CAAC,CAAC,GAAG,CAACN,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,EACtG,OAAO;AACL,WAAU,GAAM,eAAe,QAAQ,CAACA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,OAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,EACpG;AACA,QAAM,OAAkB,GAAI,MAAM,UAAU,KAAK;AACjD,EAAG,GAAQ,IAAI;AACf,SAAO;AAkBT;AAEA,eAAsBQ,SAAQ,OAAiBF,SAAgB,KAAaG,QAAiC;AAnE7G,MAAAF,KAAA,IAAAG,KAAAC;AAoEE,QAAM,MAAe;AAAA,IACnB,KAAK;AAAA,IACL,QAAQ;AAAA,IACR,aAAa;AAAA,IACb,YAAY,CAAC;AAAA,EACf;AACA,MAAI,EAACX,UAAA,gBAAAA,OAAQ;AAAa,WAAO;AACjC,QAAM,YAAYI,cAAWG,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,eAAc;AACpE,QAAM,cAAY,KAAAD,QAAO,KAAK,gBAAZ,mBAAyB,aAAY,KAAM,IAAI,IAAIJ;AACrE,MAAII,QAAO,eAAe,aAAa,YAAaH,eAAcM,YAAWC,MAAAT,SAAA,gBAAAA,MAAO,SAAP,gBAAAS,IAAa,OAAM,OAAOC,MAAAV,SAAA,gBAAAA,MAAO,SAAP,gBAAAU,IAAa,eAAc,GAAI;AACpI,IAAAP;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAlFxC,QAAAG;AAmFI,SAAIA,MAAAD,QAAO,KAAK,gBAAZ,gBAAAC,IAAyB,SAAS;AACpC,YAAM,WAAW,QAAQ,OAAOD,OAAM;AACtC,YAAM,OAAON,UAAA,gBAAAA,OAAO,QAAQ;AAC5B,MAAAE,YAAW,IAAI;AACf,MAAG,GAAQ,QAAQ;AACnB,YAAM,UAAU,KAAK,KAAK,CAACU,QAAMA,IAAE,MAAM,CAAC,MAAM,CAAC;AACjD,YAAMC,UAAS,MAAM,QAAQ,KAAK;AAClC,YAAM,aAAa,KAAK,MAAM,MAAM,KAAK,IAAKA,QAAO,CAAC,IAAI,GAAI,CAAC,IAAI;AACnE,UAAI,cAAcP,QAAO,KAAK,YAAY,iBAAiB,IAAI;AAC7D,YAAI,SAASO,QAAO,CAAC,KAAK,MAAM,WAAW;AAC3C,YAAI,cAAc,KAAK,IAAI,MAAM,UAAU;AAAA,MAC7C;AACA,YAAM,SAAY,GAAO,KAAK,KAAK,CAACD,QAAMA,IAAE,MAAM,CAAC,MAAM,GAAG,GAAe,CAAC;AAC5E,YAAM,UAAkB,MAAM,OAAO,KAAK,GAAG,CAAC;AAC9C,MAAG,GAAQ,MAAM;AACjB,YAAM,OAAO,KAAK,KAAK,CAACA,QAAMA,IAAE,MAAM,CAAC,MAAM,GAAG;AAChD,YAAME,OAAM,MAAM,KAAK,KAAK;AAC5B,UAAI,MAAM,KAAK,MAAMA,KAAI,SAAS,CAAC,IAAIA,KAAI,SAAS,CAAC,IAAI,KAAK,SAAS,MAAMA,KAAI,SAAS,CAAC,IAAI,KAAK,SAAS,MAAMA,KAAI,SAAS,CAAC,CAAC,IAAI;AAEtI,UAAI,OAAO,MAAMD,QAAO,CAAC,CAAC,KAAK,OAAO,MAAMC,KAAI,CAAC,CAAC;AAAG,YAAI,kBAAkB,EAAE,OAAAd,QAAO,QAAQ,KAAK,CAAC;AAElG,YAAM,OAAO,KAAK,KAAK,CAACY,QAAMA,IAAE,MAAM,CAAC,MAAM,IAAI;AAGjD,YAAM,aAAa,OAAO,MAAM,KAAK,KAAK,IAAI,CAAC;AAC/C,UAAI,aAAa,MAAM,KAAK,UAAU;AACtC,WAAK,QAAQ,CAACA,QAAS,GAAQA,GAAC,CAAC;AAAA,IACnC;AACA,IAAAX,MAAK,GAAG,IAAI;AACZ,IAAAE,aAAYM;AACZ,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC9GA,IAAM,aAAa;AACnB,IAAM,QAAQ;AAGd,SAAS,WAAW,GAAWM,IAAW,SAA8C;AACtF,MAAI,SAAS;AACb,MAAI,IAAI,QAAQ,SAAS;AACzB,WAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ,IAAI,KAAK;AAC3C,QAAM,QAAQ,CAAC,EAAE,IAAIA,OAAQ,QAAQ,CAAC,EAAE,IAAIA,MAAQ,KAAK,QAAQ,CAAC,EAAE,IAAI,QAAQ,CAAC,EAAE,MAAMA,KAAI,QAAQ,CAAC,EAAE,MAAM,QAAQ,CAAC,EAAE,IAAI,QAAQ,CAAC,EAAE,KAAK,QAAQ,CAAC,EAAE;AAAI,eAAS,CAAC;AAAA,EACxK;AACA,SAAO;AACT;AAEA,eAAsB,KAAKC,OAA+C;AACxE,MAAI,CAACA,MAAK;AAAQ,WAAOA,MAAK;AAC9B,MAAI,CAACA,MAAK,QAAQA,MAAK,KAAK,SAAS;AAAK,WAAOA,MAAK;AACtD,QAAM,QAAQA,MAAK,OAAO,MAAM,CAAC,KAAK;AACtC,QAAM,SAASA,MAAK,OAAO,MAAM,CAAC,KAAK;AACvC,QAAM,SAAS,MAAMA,MAAK,OAAO,OAAO;AACxC,MAAI,aAAyC,CAAC;AAC9C,aAAWC,OAAM,gBAAgB;AAAY,eAAW,KAAK,EAAE,IAAID,MAAK,KAAKC,GAAE,EAAE,CAAC,IAAID,MAAK,IAAI,CAAC,KAAKA,MAAK,IAAI,CAAC,GAAG,IAAIA,MAAK,KAAKC,GAAE,EAAE,CAAC,IAAID,MAAK,IAAI,CAAC,KAAKA,MAAK,IAAI,CAAC,EAAE,CAAC;AACrK,MAAI,cAAc,aAAa;AAAG,iBAAa,WAAW,IAAI,CAACC,SAAQ,EAAE,GAAGA,IAAG,IAAI,MAAMA,IAAG,IAAI,aAAaA,IAAG,IAAI,YAAY,GAAGA,IAAG,IAAI,MAAMA,IAAG,IAAI,aAAaA,IAAG,IAAI,WAAW,EAAE;AACxL,WAAS,IAAI,GAAG,IAAI,OAAO,KAAK;AAC9B,aAASF,KAAI,GAAGA,KAAI,QAAQA,MAAK;AAC/B,YAAM,SAAS,WAAW,IAAI,OAAOA,KAAI,OAAO,UAAU;AAC1D,UAAI,CAAC,QAAQ;AACX,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AACrD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AACrD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAGA,IAAG,GAAG,CAAC,GAAG,GAAGA,IAAG,GAAG,CAAC;AAAA,MACvD;AAAA,IACF;AAAA,EACF;AACA,QAAM,SAAS,OAAO,SAAS;AAE/B,SAAO;AACT;;;AC7BA,IAAIG;AACJ,IAAM,SAAmB,CAAC;AAC1B,IAAIC,WAAU,OAAO;AACrB,IAAIC,aAAY;AAChB,IAAIC,YAAW;AAEf,eAAsBC,MAAKC,SAAqC;AAjBhE,MAAAC;AAkBE,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUM,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,SAAS;AAAA,WAC3DD,QAAO;AAAO,QAAI,iBAAiBL,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,SAAQ,OAAiBF,SAAgB,KAAaG,QAAgC;AAxB5G,MAAAF,KAAA;AAyBE,MAAI,EAACN,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AACjC,QAAM,cAAYM,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,aAAY,KAAM,IAAI,IAAIH;AACnE,QAAM,YAAYF,cAAW,KAAAI,QAAO,KAAK,cAAZ,mBAAuB,eAAc;AAClE,MAAIA,QAAO,eAAe,YAAY,aAAcH,eAAcM,UAAU,OAAO,GAAG,GAAG;AACvF,IAAAP;AACA,WAAO,OAAO,GAAG;AAAA,EACnB;AACA,EAAAA,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAM,eAAe,OAAO,EAACD,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,IAAGA,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AACnK,UAAM,MAAMA,WAAA,gBAAAA,QAAO,QAAQ;AAC3B,UAAM,OAAO,MAAM,IAAI,KAAK,GAAG,CAAC;AAChC,WAAO,GAAG,IAAI,KAAK,MAAM,MAAM,GAAG,IAAI;AACtC,IAAAE,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,IAAG,GAAQ,CAAC,QAAQ,GAAG,CAAC;AACxB,YAAQ,OAAO,GAAG,CAAC;AAAA,EACrB,CAAC;AACH;;;AChCA,IAAIM;AACJ,IAAMC,UAAmB,CAAC;AAC1B,IAAIC,WAAU,OAAO;AACrB,IAAIC,aAAY;AAChB,IAAIC,YAAW;AAEf,eAAsBC,MAAKC,SAAqC;AAjBhE,MAAAC;AAkBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAAA,WAC1DD,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBQ,SAAQ,OAAiBF,SAAgB,KAAaG,QAAgC;AAxB5G,MAAAF,KAAA;AAyBE,MAAI,EAACP,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AACjC,QAAM,cAAYO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,aAAY,KAAM,IAAI,IAAIH;AAClE,QAAM,YAAYF,cAAW,KAAAI,QAAO,KAAK,aAAZ,mBAAsB,eAAc;AACjE,MAAIA,QAAO,eAAe,YAAY,aAAcH,eAAcM,UAAUR,QAAO,GAAG,GAAG;AACvF,IAAAC;AACA,WAAOD,QAAO,GAAG;AAAA,EACnB;AACA,EAAAC,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAY,GAAM,eAAe,OAAO,EAACF,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,IAAGA,WAAA,gBAAAA,QAAO,OAAO,GAAG,SAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AACnK,UAAM,MAAMA,WAAA,gBAAAA,QAAO,QAAQ;AAC3B,UAAM,OAAO,MAAM,IAAI,KAAK,GAAG,CAAC;AAChC,IAAAC,QAAO,GAAG,IAAI,KAAK,MAAM,MAAM,GAAG,IAAI;AACtC,IAAAE,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,IAAG,GAAQ,CAAC,QAAQ,GAAG,CAAC;AACxB,YAAQH,QAAO,GAAG,CAAC;AAAA,EACrB,CAAC;AACH;;;AC5BA,IAAIS;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAM,YAAY,CAAC,SAAS,SAAS,SAAS,UAAU,OAAO;AAC/D,IAAM,aAAa,CAAC,IAAI,IAAI,IAAI,MAAM,MAAM,MAAM,EAAE;AACpD,IAAIC,aAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAgB;AAvB3C,MAAAC;AAwBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,SAAS;AAAA,WACtDD,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBQ,SAAQ,OAAiBF,SAAgB,KAAaG,QAAkC;AA9B9G,MAAAF,KAAA;AA+BE,MAAI,CAACP;AAAO,WAAO,EAAE,KAAK,GAAG,QAAQ,WAAW,aAAa,GAAG,MAAM,CAAC,EAAE;AACzE,QAAM,YAAYI,cAAWG,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAkB,eAAc;AAC7D,QAAM,cAAY,KAAAD,QAAO,KAAK,SAAZ,mBAAkB,aAAY,KAAM,IAAI,IAAIH;AAC9D,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcO,UAAUR,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAvCxC,QAAAG,KAAAG,KAAAC,KAAAC;AAwCI,QAAI,EAACZ,WAAA,gBAAAA,QAAO,OAAO,GAAG;AAAO;AAC7B,UAAMa,MAA4B,CAAC;AAEnC,QAAI,MAAM,CAAC,CAAC,GAAK,KAAM,KAAM,GAAI,CAAC;AAClC,UAAIN,MAAAD,QAAO,KAAK,SAAZ,gBAAAC,IAAmB,WAAU,GAAG;AAClC,YAAM,QAAOG,MAAAJ,QAAO,KAAK,SAAZ,gBAAAI,IAAmB;AAChC,YAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAAA,IACzC;AACA,IAAAG,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AACvG,UAAM,MAAgB,EAAE,KAAK,GAAG,QAAQ,WAAW,aAAa,GAAG,MAAM,CAAC,EAAE;AAC5E,SAAIW,MAAAL,QAAO,KAAK,SAAZ,gBAAAK,IAAkB;AAAS,OAACE,IAAE,KAAKA,IAAE,QAAQA,IAAE,IAAI,IAAIb,QAAM,QAAQa,IAAE,QAAQ,CAAC,cAAc,iBAAiB,aAAa,CAAC;AACjI,UAAMC,UAAS,MAAMD,IAAE,OAAO,KAAK;AACnC,QAAI,SAASC,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAI,SAAS;AAC9C,QAAI,cAAc,KAAK,MAAM,OAAOA,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAIA,QAAO,CAAC,IAAIA,QAAO,CAAC,EAAE,IAAI;AACtF,UAAM,OAAO,MAAMD,IAAE,KAAK,KAAK;AAC/B,aAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,UAAI,KAAK,CAAC,OAAKD,MAAAN,QAAO,KAAK,SAAZ,gBAAAM,IAAkB,kBAAiB;AAAM,YAAI,KAAK,KAAK,EAAE,OAAO,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,KAAK,MAAM,UAAU,CAAC,EAAU,CAAC;AAAA,IAC9I;AACA,QAAI,KAAK,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AAEzC,UAAM,kBAAkB,MAAM,KAAK,MAAMC,IAAE,IAAI,KAAK,CAAC;AACrD,UAAM,YAAY,gBAAgB,IAAI,CAAC,GAAG,MAAM,CAAC,WAAW,CAAC,GAAG,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,MAAM,EAAE,CAAC,IAAI,EAAE,CAAC,CAAC;AAC9F,QAAIE,OAAM,UAAU,CAAC,EAAE,CAAC;AACxB,aAAS,IAAI,GAAG,IAAI,UAAU,QAAQ;AAAK,MAAAA,QAAO,UAAU,CAAC,EAAE,CAAC,KAAK,UAAU,CAAC,EAAE,CAAC,IAAIA;AACvF,QAAI,MAAM,KAAK,MAAM,KAAKA,IAAG,IAAI;AACjC,WAAO,KAAKF,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAZ,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYO;AACZ,IAAAN,YAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;ACzDA,IAAIa;AACJ,IAAMC,QAA0B,CAAC;AACjC,IAAIC,aAAY;AAChB,IAAIC,YAAW;AACf,IAAIC,WAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAgB;AACzC,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,UAAUM,QAAO,KAAK,QAAQ,EAAE,YAAY;AAAA,WAC7DA,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,UAAQ,OAAiBD,SAAgB,KAAaE,QAAyC;AA3BrH,MAAAC,KAAA,IAAAC,KAAAC;AA4BE,MAAI,CAACX;AAAO,WAAO,EAAE,KAAK,EAAE;AAC5B,QAAM,YAAYI,cAAWK,MAAAH,QAAO,KAAK,QAAQ,MAApB,gBAAAG,IAAuB,eAAc;AAClE,QAAM,cAAY,KAAAH,QAAO,KAAK,QAAQ,MAApB,mBAAuB,aAAY,KAAM,IAAI,IAAIH;AACnE,MAAIG,QAAO,eAAe,aAAa,YAAaJ,eAAcM,YAAUE,MAAAT,MAAK,GAAG,MAAR,gBAAAS,IAAW,UAAQC,MAAAV,MAAK,GAAG,MAAR,gBAAAU,IAAW,OAAM,GAAI;AAClH,IAAAP;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,WAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AApCxC,QAAAK,KAAAG,KAAAF;AAqCI,QAAI,EAACV,WAAA,gBAAAA,QAAO,WAAU,CAACA,QAAM,OAAO,CAAC,KAAK,CAACA,QAAM,OAAO,CAAC,EAAE;AAAO;AAClE,UAAMa,MAA4B,CAAC;AACnC,UAAIJ,MAAAH,QAAO,KAAK,QAAQ,MAApB,gBAAAG,IAAwB,WAAU,GAAG;AACvC,YAAM,QAAOG,MAAAN,QAAO,KAAK,QAAQ,MAApB,gBAAAM,IAAwB;AACrC,YAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,MAAAC,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,IACzG,OAAO;AACL,MAAAa,IAAE,SAAY,GAAM,eAAe,OAAO,CAACb,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,IACvG;AACA,IAAAa,IAAE,UAAa,GAAIA,IAAE,QAAQ,UAAU,KAAK;AAC5C,UAAM,MAAM,EAAE,KAAK,EAAE;AACrB,SAAIH,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAuB;AAAS,MAAAG,IAAE,MAAMb,QAAM,QAAQa,IAAE,OAAO;AACnE,QAAIA,IAAE,KAAK;AACT,YAAM,OAAO,MAAMA,IAAE,IAAI,KAAK;AAC9B,UAAI,MAAM,KAAK,MAAM,KAAK,KAAK,CAAC,CAAC,IAAI;AAAA,IACvC;AACA,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAZ,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYM;AACZ,IAAAL,YAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC5CA,IAAIW;AACJ,IAAMC,QAAkD,CAAC;AACzD,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAGrB,IAAMC,OAAM,CAAC,QAAQ,OAAQ,KAAM;AAEnC,eAAsBC,OAAKC,SAAgB;AAxB3C,MAAAC;AAyBE,MAAI,IAAI;AAAS,IAAAR,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUQ,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAuB,eAAe;AAAA,WACjED,QAAO;AAAO,QAAI,iBAAiBP,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBS,UAAQ,OAAiBF,SAAgB,KAAKG,QAAyD;AA/B7H,MAAAF,KAAA,IAAAG,KAAAC;AAgCE,MAAI,CAACZ;AAAO,WAAO,EAAE,QAAQ,WAAW,aAAa,EAAE;AACvD,QAAM,YAAYI,eAAWI,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAuB,eAAc;AAClE,QAAM,cAAY,KAAAD,QAAO,KAAK,QAAQ,MAApB,mBAAuB,aAAY,KAAM,IAAI,IAAIJ;AACnE,MAAII,QAAO,eAAe,aAAa,YAAaL,eAAcQ,YAAUC,MAAAV,MAAK,GAAG,MAAR,gBAAAU,IAAW,aAAWC,MAAAX,MAAK,GAAG,MAAR,gBAAAW,IAAW,eAAc,GAAI;AAC7H,IAAAR;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,EAAAG,YAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAxCxC,QAAAI,KAAAK,KAAAF;AAyCI,QAAI,EAACX,WAAA,gBAAAA,QAAO,OAAO,GAAG;AAAO;AAC7B,UAAMc,MAA4B,CAAC;AACnC,UAAIN,MAAAD,QAAO,KAAK,QAAQ,MAApB,gBAAAC,IAAwB,WAAU,GAAG;AACvC,YAAM,QAAOK,MAAAN,QAAO,KAAK,QAAQ,MAApB,gBAAAM,IAAwB;AACrC,YAAM,MAAM,CAAC,CAAC,MAAM,MAAM,IAAI,MAAM,IAAI,IAAI,CAAC;AAC7C,MAAAC,IAAE,SAAY,GAAM,cAAc,OAAO,KAAK,CAAC,CAAC,GAAG,CAACd,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAAA,IACzG,OAAO;AACL,MAAAc,IAAE,SAAY,GAAM,eAAe,OAAO,CAACd,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAAA,IACvG;AACA,IAAAc,IAAE,UAAa,GAAK,MAAM;AAlD9B,UAAAN,KAAAK;AAmDM,UAAIE;AACJ,YAAIF,OAAAL,MAAAR,WAAA,gBAAAA,QAAO,WAAP,gBAAAQ,IAAgB,GAAG,UAAnB,gBAAAK,IAA2B,QAAO,GAAG;AACvC,cAAM,CAAC,KAAK,OAAO,IAAI,IAAO,GAAMC,IAAE,QAAQ,GAAG,CAAC;AAClD,cAAM,UAAa,GAAI,KAAKT,KAAI,CAAC,CAAC;AAClC,cAAM,YAAe,GAAI,OAAOA,KAAI,CAAC,CAAC;AACtC,cAAM,WAAc,GAAI,MAAMA,KAAI,CAAC,CAAC;AACpC,cAAM,YAAe,GAAK,CAAC,SAAS,WAAW,QAAQ,CAAC;AACxD,QAAAU,aAAe,GAAO,GAAI,WAAW,UAAU,IAAI,GAAG,CAAC;AAAA,MACzD,OAAO;AACL,QAAAA,aAAe,GAAO,GAAID,IAAE,QAAQ,UAAU,IAAI,GAAG,CAAC;AAAA,MACxD;AACA,aAAOC;AAAA,IACT,CAAC;AACD,UAAM,MAA+C,EAAE,QAAQ,WAAW,aAAa,EAAE;AACzF,SAAIJ,MAAAJ,QAAO,KAAK,QAAQ,MAApB,gBAAAI,IAAuB;AAAS,MAAAG,IAAE,SAASd,QAAM,QAAQc,IAAE,OAAO;AACtE,UAAM,OAAO,MAAMA,IAAE,OAAO,KAAK;AACjC,QAAI,SAAS,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,WAAW;AAC5C,QAAI,cAAc,KAAK,CAAC,IAAI,KAAK,CAAC,IAAK,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI,MAAQ,KAAK,MAAM,MAAM,KAAK,CAAC,CAAC,IAAI;AACvG,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,IAAAb,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYQ;AACZ,IAAAP,aAAW,IAAI;AACf,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC5DA,IAAIa;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAqC;AArBhE,MAAAC;AAsBE,MAAI,IAAI;AAAS,IAAAP,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,WAAUO,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,SAAS;AAAA,WAClED,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAoBA,eAAsBQ,UAAQ,OAAiBF,SAAgB,KAAKG,QAA0B;AA9C9F,MAAAF,KAAA;AA+CE,MAAI,EAACP,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYI,eAAWG,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,eAAc;AACzE,QAAM,cAAY,KAAAD,QAAO,KAAK,eAAe,MAA3B,mBAA8B,aAAY,KAAM,IAAI,IAAIH;AAC1E,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcO,UAAUR,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AAtDxC,QAAAM;AAuDI,QAAI,OAAiB,CAAC;AACtB,UAAIA,MAAAD,QAAO,KAAK,eAAe,MAA3B,gBAAAC,IAA8B,aAAWP,WAAA,gBAAAA,QAAO,OAAO,GAAG,QAAO;AACnE,YAAMU,MAA4B,CAAC;AACnC,MAAAA,IAAE,OAAU,GAAM,eAAe,OAAO,CAACV,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAInG,MAAAU,IAAE,OAAOV,QAAM,QAAQU,IAAE,IAAI;AAa7B,YAAM,SAAS,MAAMA,IAAE,KAAK,KAAK;AACjC,aAAO,MAAM,KAAK,MAAM;AACxB,aAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAT,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYO;AACZ,IAAAN,aAAW,IAAI;AACf,YAAQ,IAAI;AAAA,EACd,CAAC;AACH;;;ACrEA,IAAIQ;AACJ,IAAMC,QAAmB,CAAC;AAC1B,IAAIC,aAAY;AAChB,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AAErB,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA;AAAO,IAAAA,UAAQ,MAAM,UAAUM,QAAO,KAAK,aAAa,EAAE,SAAS;AAAA,WAC/DA,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBO,UAAQ,OAAiBD,SAAgB,KAAKE,QAA0B;AA5B9F,MAAAC,KAAA;AA6BE,MAAI,EAACT,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYI,eAAWK,MAAAH,QAAO,KAAK,aAAa,MAAzB,gBAAAG,IAA4B,eAAc;AACvE,QAAM,cAAY,KAAAH,QAAO,KAAK,aAAa,MAAzB,mBAA4B,aAAY,KAAM,IAAI,IAAIH;AACxE,MAAIG,QAAO,eAAe,YAAY,aAAcJ,eAAcM,UAAUP,MAAK,GAAG,GAAG;AACrF,IAAAG;AACA,WAAOH,MAAK,GAAG;AAAA,EACjB;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AApCxC,QAAAQ;AAqCI,QAAI,OAAiB,CAAC;AACtB,UAAIA,MAAAH,QAAO,KAAK,aAAa,MAAzB,gBAAAG,IAA4B,aAAWT,WAAA,gBAAAA,QAAO,OAAO,GAAG,QAAO;AACjE,YAAMU,MAA4B,CAAC;AACnC,MAAAA,IAAE,OAAU,GAAM,eAAe,OAAO,CAACV,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,GAAG,KAAK;AAInG,MAAAU,IAAE,OAAOV,QAAM,QAAQU,IAAE,IAAI;AAC7B,YAAM,SAAS,MAAMA,IAAE,KAAK,KAAK;AACjC,aAAO,MAAM,KAAK,MAAM;AACxB,aAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,IAAAT,MAAK,GAAG,IAAI;AACZ,IAAAC,aAAYM;AACZ,IAAAL,aAAW,IAAI;AACf,YAAQ,IAAI;AAAA,EACd,CAAC;AACH;;;AClDA,IAAM,gBAAgB,CAACQ,UAA4D;AACjF,QAAM,UAAU,CAAC,KAAY,QAAe,KAAK,MAAM,IAAI,CAAC,IAAI,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AACvF,MAAI,CAACA,MAAK,YAAY,gBAAgB,CAACA,MAAK,YAAY;AAAa,WAAO,EAAE,SAAS,GAAG,UAAU,EAAE;AAEtG,QAAM,aAAa,CAAC,GAAG,IAAI;AAC3B,QAAM,WAAW;AAEjB,QAAM,QAAQA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,MAAMA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK;AAC7D,QAAM,aAAa,OAAOA,MAAK,KAAK,GAAG,IAAIA,MAAK,KAAK,GAAG;AACxD,QAAM,YAAY,OACd,EAAEA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,KAAK,CAAC,IACvF,EAAEA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,KAAK,CAAC;AAC7F,QAAM,UAAU,OACZ,CAACA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,GAAGA,MAAK,KAAK,EAAE,EAAE,CAAC,IAAIA,MAAK,KAAK,EAAE,EAAE,CAAC,CAAC,IAC1E,CAACA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,GAAGA,MAAK,KAAK,GAAG,EAAE,CAAC,IAAIA,MAAK,KAAK,GAAG,EAAE,CAAC,CAAC;AACjF,QAAM,UAAiB;AAAA;AAAA,KACpB,UAAU,CAAC,IAAI,WAAW,CAAC,KAAK,QAAQ,CAAC,IAAI,WAAW,CAAC;AAAA,IAC1D,YAAY,WAAW,CAAC,IAAI,UAAU,CAAC,KAAK,QAAQ,CAAC,IAAI,WAAW,CAAC;AAAA,EACvE;AACA,MAAI,WAAW,KAAK,KAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,IAAM,QAAQ,CAAC,IAAI,QAAQ,CAAC,CAAE;AAC9E,aAAW,KAAK,IAAI,UAAUA,MAAK,OAAO,CAAC,IAAI,GAAGA,MAAK,OAAO,CAAC,IAAI,CAAC;AACpE,QAAM,WAAW,QAAQ,CAAC,GAAG,CAAC,GAAG,OAAO,IAAK,KAAK,KAAK,KAAM,KAAK;AAClE,SAAO,EAAE,SAAS,SAAS;AAC7B;AAEO,IAAM,qBAAqB,CAACA,OAAkB,cAIhD;AAEH,QAAMC,aAAY,CAACC,OAAsB;AACvC,UAAM,SAAS,KAAK,KAAKA,GAAE,CAAC,IAAIA,GAAE,CAAC,IAAIA,GAAE,CAAC,IAAIA,GAAE,CAAC,IAAIA,GAAE,CAAC,IAAIA,GAAE,CAAC,CAAC;AAChE,IAAAA,GAAE,CAAC,KAAK;AACR,IAAAA,GAAE,CAAC,KAAK;AACR,IAAAA,GAAE,CAAC,KAAK;AACR,WAAOA;AAAA,EACT;AACA,QAAM,aAAa,CAAC,GAAW,MAAsB;AACnD,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,UAAMC,KAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AACpB,WAAO,CAAC,GAAGA,IAAG,CAAC;AAAA,EACjB;AACA,QAAM,eAAe,CAAC,GAAW,MAAsB;AACrD,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,UAAMA,KAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,UAAM,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC,IAAI,EAAE,CAAC;AAClC,WAAO,CAAC,GAAGA,IAAG,CAAC;AAAA,EACjB;AAEA,QAAM,6BAA6B,CAAC,MAA8D;AAChG,UAAM,CAAC,KAAK,MAAM,MAAM,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,IAAI;AACxD,QAAI;AACJ,QAAI;AACJ,QAAI;AACJ,QAAI,MAAM,GAAG;AACX,UAAI,MAAM,IAAI;AACZ,iBAAS,KAAK,KAAK,GAAG;AACtB,iBAAS,KAAK,MAAM,CAAC,KAAK,GAAG;AAC7B,iBAAS,KAAK,MAAM,CAAC,KAAK,GAAG;AAAA,MAC/B,OAAO;AACL,iBAAS,CAAC,KAAK,KAAK;AACpB,iBAAS,CAAC,KAAK,MAAM,KAAK,GAAG;AAC7B,iBAAS;AAAA,MACX;AAAA,IACF,OAAO;AACL,eAAS,KAAK,KAAK;AACnB,eAAS,KAAK,MAAM,KAAK,GAAG;AAC5B,eAAS;AAAA,IACX;AACA,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,QAAI,OAAO,MAAM,MAAM;AAAG,eAAS;AACnC,WAAO,EAAE,OAAO,IAAI,CAAC,QAAQ,KAAK,IAAI,CAAC,QAAQ,MAAM,IAAI,CAAC,OAAO;AAAA,EACnE;AAcA,QAAM,OAAOH,MAAK;AAClB,MAAI,CAAC,QAAQ,KAAK,SAAS;AAAK,WAAO,EAAE,OAAO,EAAE,OAAO,GAAG,KAAK,GAAG,MAAM,EAAE,GAAG,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,GAAG,MAAM,EAAE,SAAS,GAAG,UAAU,EAAE,EAAE;AAEtJ,QAAMI,QAAO,KAAK,IAAIJ,MAAK,OAAO,CAAC,IAAI,UAAU,CAAC,GAAGA,MAAK,OAAO,CAAC,IAAI,UAAU,CAAC,CAAC,IAAI;AAEtF,QAAM,MAAe,CAAC,KAAK,EAAE,GAAG,KAAK,GAAG,GAAG,KAAK,GAAG,GAAG,KAAK,GAAG,CAAC,EAAE,IAAI,CAACK,QAAO,CAACA,IAAG,CAAC,IAAI,UAAU,CAAC,IAAID,OAAMC,IAAG,CAAC,IAAI,UAAU,CAAC,IAAID,OAAMC,IAAG,CAAC,CAAC,CAAU;AAEvJ,QAAM,QAAQJ,WAAU,WAAW,IAAI,CAAC,GAAa,IAAI,CAAC,CAAW,CAAC;AACtE,MAAI,QAAQA,WAAU,WAAW,IAAI,CAAC,GAAa,IAAI,CAAC,CAAW,CAAC;AACpE,QAAM,QAAQA,WAAU,aAAa,OAAO,KAAK,CAAC;AAElD,UAAQ,aAAa,OAAO,KAAK;AAIjC,QAAM,SAAmF;AAAA,IACvF,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAC3B,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAC3B,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,IAAG,MAAM,CAAC;AAAA,EAC7B;AACA,QAAM,QAAQ,2BAA2B,MAAM;AAI/C,QAAM,OAAO,KAAK,WAAW,MAAM,cAAcD,KAAI,IAAI,EAAE,SAAS,GAAG,UAAU,EAAE;AAEnF,SAAO,EAAE,OAAO,QAAQ,KAAK;AAC/B;;;ACtHO,SAAS,wBAAwBM,OAAkB,OAAuB;AAG/E,QAAM,IAAIA,SAAA,gBAAAA,MAAM;AAChB,MAAI,EAAC,uBAAG,gBAAe,EAAC,uBAAG;AAAc,WAAO;AAEhD,QAAM,WAAW,KAAK,IAAI,KAAK,IAAI,EAAE,YAAY,CAAC,EAAE,CAAC,IAAI,EAAE,YAAY,CAAC,EAAE,CAAC,CAAC,GAAG,KAAK,IAAI,EAAE,aAAa,CAAC,EAAE,CAAC,IAAI,EAAE,aAAa,CAAC,EAAE,CAAC,CAAC,CAAC,IAAI;AAExI,QAAM,iBAAiB,KAAK,MAAM,OAAO,QAAQ,IAAI;AACrD,SAAO;AACT;;;ACeO,IAAM,aAAa,OAAO,UAAyC,UAA2C;AA3BrH,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAA;AA6BE,MAAI,YAAoB,IAAI;AAC5B,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AAEJ,QAAM,UAAwB,CAAC;AAC/B,WAAS,QAAQ;AACjB,QAAM,QAAsB,MAAeC,SAAQ,OAAO,SAAS,MAAM;AACzE,WAAS,YAAY,OAAO,IAAI,WAAW,SAAS,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACzI,MAAI,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW;AAAG,WAAO,CAAC;AACtD,MAAI,CAAC;AAAO,WAAO,CAAC;AAEpB,WAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,aAAS,QAAQ,UAAU;AAI3B,QAAI,CAAC,MAAM,CAAC,EAAE,UAAU,MAAM,CAAC,EAAE,OAAO,oBAAoB;AAC1D,UAAI,4BAA4B,MAAM,CAAC,EAAE,MAAM;AAC/C;AAAA,IACF;AAGA,SAAIlB,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,MAAM;AACvC,YAAM,SAAS,MAAW,KAAK,MAAM,CAAC,CAAC;AACvC,MAAG,GAAQ,MAAM,CAAC,EAAE,MAAM;AAC1B,UAAI;AAAQ,cAAM,CAAC,EAAE,SAAS;AAAA,IAChC;AAGA,UAAM,WAAW,MAAM,CAAC,EAAE,QAAS,MAAM,CAAC,EAAE,KAAK,SAAS,MAAO,mBAAmB,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC,IAAI;AAGlI,aAAS,QAAQ,gBAAgB;AACjC,QAAI,SAAS,OAAO,OAAO;AACzB,qBAAa,cAAS,OAAO,KAAK,YAArB,mBAA8B,WAAkBkB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI,CAAC;AAAA,IAC1J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,qBAAajB,MAAA,SAAS,OAAO,KAAK,YAArB,gBAAAA,IAA8B,WAAU,MAAciB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI,CAAC;AAC9J,eAAS,YAAY,UAAU,IAAI,WAAW,SAAS,YAAY,WAAW,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACjJ;AACA,aAAS,QAAQ,cAAc;AAG/B,aAAS,QAAQ,kBAAkB;AACnC,QAAI,SAAS,OAAO,OAAO;AACzB,uBAAehB,MAAA,SAAS,OAAO,KAAK,cAArB,gBAAAA,IAAgC,WAAoBgB,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC/J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,uBAAe,cAAS,OAAO,KAAK,cAArB,mBAAgC,WAAU,MAAgBA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACnK,eAAS,YAAY,YAAY,IAAI,WAAW,SAAS,YAAY,aAAa,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACrJ;AACA,aAAS,QAAQ,gBAAgB;AAGjC,aAAS,QAAQ,iBAAiB;AAClC,QAAI,SAAS,OAAO,OAAO;AACzB,sBAAcf,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,WAAmBe,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC5J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,sBAAcd,MAAA,SAAS,OAAO,KAAK,aAArB,gBAAAA,IAA+B,WAAU,MAAec,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAChK,eAAS,YAAY,WAAW,IAAI,WAAW,SAAS,YAAY,aAAa,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACpJ;AACA,aAAS,QAAQ,eAAe;AAGhC,aAAS,QAAQ,aAAa;AAC9B,QAAI,SAAS,OAAO,OAAO;AACzB,kBAAUb,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAea,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAChJ,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,kBAAUZ,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAU,MAAWY,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACpJ,eAAS,YAAY,OAAO,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IAC1D;AACA,aAAS,QAAQ,WAAW;AAG5B,aAAS,QAAQ,eAAe;AAChC,QAAI,SAAS,OAAO,OAAO;AACzB,iBAASX,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAoBW,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACvJ,oBAAYV,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAuBU,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC/J,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,iBAAST,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,WAAU,MAAgBS,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAC7J,oBAAY,cAAS,OAAO,KAAK,QAAQ,MAA7B,mBAAgC,WAAU,MAAmBA,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AACnK,eAAS,YAAY,SAAS,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IAC5D;AACA,aAAS,QAAQ,aAAa;AAG9B,aAAS,QAAQ,sBAAsB;AACvC,QAAI,SAAS,OAAO,OAAO;AACzB,2BAAmBR,MAAA,SAAS,OAAO,KAAK,eAAe,MAApC,gBAAAA,IAAuC,WAAwBQ,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IAC9K,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,2BAAmBP,MAAA,SAAS,OAAO,KAAK,eAAe,MAApC,gBAAAA,IAAuC,WAAU,MAAoBO,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAClL,eAAS,YAAY,gBAAgB,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACnE;AACA,aAAS,QAAQ,oBAAoB;AAGrC,aAAS,QAAQ,oBAAoB;AACrC,QAAI,SAAS,OAAO,OAAO;AACzB,yBAAiBN,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,WAAsBM,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAAA,IACxK,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,yBAAiBL,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,WAAU,MAAkBK,UAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM,IAAI;AAC5K,eAAS,YAAY,gBAAgB,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACnE;AACA,aAAS,QAAQ,kBAAkB;AAGnC,aAAS,QAAQ,oBAAoB;AACrC,QAAI,SAAS,OAAO,OAAO;AACzB,gBAAkBA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM;AAAA,IAC1G,OAAO;AACL,eAAS,QAAQ;AACjB,kBAAY,IAAI;AAChB,gBAAU,MAAcA,SAAQ,MAAM,CAAC,EAAE,UAAyB,GAAO,CAAC,CAAC,GAAG,SAAS,QAAQ,GAAG,MAAM,MAAM;AAC9G,eAAS,YAAY,cAAc,IAAI,WAAW,SAAS,YAAY,eAAe,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,IACzJ;AACA,aAAS,QAAQ,kBAAkB;AAGnC,QAAI,SAAS,OAAO,OAAO;AACzB,OAAC,QAAQ,WAAW,YAAY,kBAAkB,gBAAgB,SAAS,SAAS,cAAc,WAAW,IAAI,MAAM,QAAQ,IAAI,CAAC,QAAQ,WAAW,YAAY,kBAAkB,gBAAgB,SAAS,SAAS,cAAc,WAAW,CAAC;AAAA,IACnP;AACA,aAAS,QAAQ,cAAc;AAE/B,UAAIJ,MAAA,SAAS,OAAO,KAAK,QAAQ,MAA7B,gBAAAA,IAAgC,YAAW,UAAU,WAAW;AAClE,gBAAU;AAAA,QACR,GAAI;AAAA,QACJ,KAAM,OAA0B;AAAA,QAChC,QAAS,UAAsD;AAAA,QAC/D,aAAc,UAAsD;AAAA,MACtE;AAAA,IACF;AACA,UAAIC,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,YAAW,SAAS;AACjD,gBAAU;AAAA,QACR,GAAI;AAAA,QACJ,KAAM,QAA0B;AAAA,QAChC,QAAS,QAA0B;AAAA,QACnC,aAAc,QAA0B;AAAA,QACxC,MAAO,QAA0B;AAAA,MACnC;AAAA,IACF;AACA,UAAI,cAAS,OAAO,KAAK,eAAe,MAApC,mBAAuC,YAAW,kBAAkB;AACtE,MAAC,QAAoB,aAAa;AAAA,IACpC;AAEA,UAAIC,MAAA,SAAS,OAAO,KAAK,aAAa,MAAlC,gBAAAA,IAAqC,YAAW,gBAAgB;AAClE,MAAC,QAAoB,aAAa;AAAA,IACpC;AAEA,UAAM,aAAWC,MAAA,SAAS,OAAO,KAAK,SAArB,gBAAAA,IAA2B,WAAU,wBAAwB,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,IAAI;AAG1G,UAAM,WAAS,cAAS,OAAO,KAAK,aAArB,mBAA+B,UAAY,GAAQ,MAAM,CAAC,EAAE,MAAkB,IAAI;AAEjG,IAAG,GAAQ,MAAM,CAAC,EAAE,MAAM;AAE1B,QAAI,MAAM,CAAC,EAAE;AAAQ,aAAO,MAAM,CAAC,EAAE;AAErC,UAAM,MAAkB;AAAA,MACtB,GAAG,MAAM,CAAC;AAAA,MACV,IAAI;AAAA,IACN;AACA,QAAK,QAAoB;AAAK,UAAI,MAAO,QAAoB;AAC7D,QAAK,QAAoB;AAAQ,UAAI,SAAU,QAAoB;AACnE,QAAK,QAAoB;AAAa,UAAI,cAAe,QAAoB;AAC7E,QAAK,QAAoB;AAAY,UAAI,YAAa,QAAoB;AAC1E,QAAK,QAAoB;AAAM,UAAI,OAAQ,QAAoB;AAC/D,QAAI;AAAY,UAAI,UAAU;AAC9B,QAAI;AAAc,UAAI,OAAO;AAC7B,QAAI;AAAa,UAAI,OAAO;AAC5B,QAAI,WAAW;AAAG,UAAI,WAAW;AACjC,QAAI;AAAU,UAAI,WAAW;AAC7B,QAAI;AAAQ,UAAI,SAAS;AACzB,YAAQ,KAAK,GAAG;AAChB,aAAS,QAAQ,UAAU;AAAA,EAC7B;AACA,WAAS,QAAQ,eAAe;AAChC,MAAI,SAAS,OAAO,OAAO;AACzB,QAAI,SAAS,YAAY;AAAM,aAAO,SAAS,YAAY;AAC3D,QAAI,SAAS,YAAY;AAAK,aAAO,SAAS,YAAY;AAC1D,QAAI,SAAS,YAAY;AAAQ,aAAO,SAAS,YAAY;AAC7D,QAAI,SAAS,YAAY;AAAS,aAAO,SAAS,YAAY;AAAA,EAChE;AACA,SAAO;AACT;;;AClOO,IAAM,SAAS;AAAA,EACpB,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,MAAM;AAAA,EACN,OAAO;AAAA,EACP,KAAK,CAAC,GAAG,GAAG,GAAG,GAAG,CAAC;AAAA;AAAA,EACnB,aAAa,EAAE,GAAG,SAAS,GAAG,SAAS,GAAG,UAAU,GAAG,QAAQ,GAAG,QAAQ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQ1E,eAAe;AAAA,IACb,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAAA,IAClC,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAAA,IAClC,GAAG,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,IACvC,GAAG,CAAC,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,IACzC,GAAG,CAAC,CAAC,GAAG,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,IAAI,EAAE,CAAC;AAAA,EAC3C;AAAA,EACA,SAAS,CAAC,UAAU,OAAO,YAAY,KAAK;AAAA,EAC5C,WAAW,CAAC,UAAU,OAAO,cAAc,KAAK;AAClD;AAEO,IAAM,aAAa;AAAA,EACxB,MAAM;AAAA,EACN,MAAM;AAAA,EACN,MAAM;AAAA,EACN,aAAa,EAAE,GAAG,QAAQ,GAAG,QAAQ,GAAG,OAAO;AAAA,EAC/C,SAAS,CAAC,UAAU,WAAW,YAAY,KAAK;AAClD;AAEO,IAAM,kBAAkB;AAAA,EAC7B,YAAY;AAAA,EACZ,cAAc;AAAA,EACd,gBAAgB;AAAA,EAChB,iBAAiB;AAAA,EACjB,iBAAiB;AAAA,EACjB,gBAAgB;AAAA,EAChB,mBAAmB;AAAA,EACnB,kBAAkB;AAAA,EAClB,aAAa,EAAE,GAAG,cAAc,GAAG,gBAAgB,GAAG,kBAAkB,GAAG,mBAAmB,GAAG,mBAAmB,GAAG,kBAAkB,GAAG,qBAAqB,GAAG,mBAAmB;AAAA,EACvL,SAAS,CAAC,UAAU,gBAAgB,YAAY,KAAK;AACvD;AAEO,IAAM,gBAAN,MAAoB;AAAA,EAOzB,YAAY,MAAM;AANlB;AACA;AACA;AACA;AACA;AAIE,SAAK,OAAO;AACZ,SAAK,QAAQ,CAAC;AACd,SAAK,aAAa,CAAC;AACnB,SAAK,UAAU,CAAC,GAAK,GAAK,GAAK,GAAK,CAAG;AACvC,SAAK,kBAAkB,CAAC,GAAK,GAAK,GAAK,GAAK,CAAG;AAAA,EACjD;AAAA,EAEA,KAAK,QAAQ,MAAM,YAAY;AAC7B,QAAI,OAAO,KAAK,MAAM,MAAM,MAAM;AAAa,WAAK,MAAM,MAAM,IAAI,CAAC;AACrE,SAAK,MAAM,MAAM,EAAE,KAAK,CAAC,MAAM,UAAU,CAAC;AAAA,EAC5C;AAAA,EAEA,UAAU,QAAQ,UAAU,YAAY;AACtC,QAAI,CAAC,KAAK,WAAW,MAAM;AAAG,WAAK,WAAW,MAAM,IAAI,CAAC;AACzD,SAAK,WAAW,MAAM,EAAE,KAAK,CAAC,UAAU,UAAU,CAAC;AAAA,EACrD;AAAA,EAEA,OAAO,QAAQ,QAAQ;AACrB,SAAK,QAAQ,MAAM,IAAI;AAEvB,UAAM,QAAQ,KAAK,QAAQ,OAAO,CAAC,GAAG,MAAM,IAAI,GAAG,CAAC;AACpD,SAAK,kBAAkB,KAAK,QAAQ,IAAI,CAAC,OAAO,KAAK,IAAI,KAAK;AAAA,EAChE;AAAA,EAEA,aAAa,eAAe,oBAAoB;AAC9C,QAAI,aAAa;AAGjB,eAAW,aAAa,eAAe;AACrC,YAAM,eAAe,cAAc,SAAS;AAC5C,YAAM,gBAAgB,KAAK,MAAM,SAAS;AAC1C,UAAI,OAAO,kBAAkB,aAAa;AAGxC,sBAAc,KAAK,gBAAgB,SAAS;AAC5C;AAAA,MACF;AAEA,iBAAW,CAAC,cAAc,KAAK,KAAK,eAAe;AACjD,YAAI,iBAAiB,cAAc;AACjC,wBAAc,QAAQ,KAAK,gBAAgB,SAAS;AACpD;AAAA,QACF;AAAA,MACF;AAAA,IACF;AAEA,eAAW,aAAa,oBAAoB;AAC1C,YAAM,oBAAoB,mBAAmB,SAAS;AACtD,YAAM,qBAAqB,KAAK,WAAW,SAAS;AACpD,UAAI,OAAO,uBAAuB,aAAa;AAG7C,sBAAc,KAAK,gBAAgB,SAAS;AAC5C;AAAA,MACF;AAEA,iBAAW,CAAC,mBAAmB,KAAK,KAAK,oBAAoB;AAC3D,YAAI,sBAAsB,mBAAmB;AAC3C,wBAAc,QAAQ,KAAK,gBAAgB,SAAS;AACpD;AAAA,QACF;AAAA,MACF;AAAA,IACF;AACA,WAAO,aAAa;AAAA,EACtB;AACF;;;ACvHO,IAAM,EAAE,OAAO,OAAO,QAAQ,MAAM,MAAM,IAAI;AAC9C,IAAM,EAAE,MAAM,MAAM,KAAK,IAAI;AAC7B,IAAM,EAAE,YAAY,cAAc,gBAAgB,iBAAiB,iBAAiB,gBAAgB,mBAAmB,iBAAiB,IAAI;AAGnJ,IAAM,WAAW,IAAI,cAAc,WAAW;AAC9C,SAAS,KAAK,OAAO,MAAM,CAAG;AAC9B,SAAS,UAAU,OAAO,YAAY,CAAG;AACzC,SAAS,UAAU,OAAO,gBAAgB,IAAI;AAC9C,SAAS,UAAU,OAAO,iBAAiB,IAAI;AAC/C,WAAW,UAAU,CAAC,OAAO,OAAO,OAAO,QAAQ,OAAO,MAAM,OAAO,KAAK,GAAG;AAC7E,WAAS,KAAK,QAAQ,MAAM,CAAG;AAC/B,WAAS,UAAU,QAAQ,gBAAgB,CAAG;AAC9C,WAAS,UAAU,QAAQ,iBAAiB,CAAG;AACjD;AAGA,IAAM,UAAU,IAAI,cAAc,SAAS;AAC3C,QAAQ,KAAK,OAAO,MAAM,GAAG;AAC7B,QAAQ,KAAK,OAAO,MAAM,GAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,CAAG;AACxC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,KAAK,OAAO,MAAM,CAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,IAAI;AACzC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,KAAK,QAAQ,MAAM,CAAG;AAC9B,QAAQ,UAAU,QAAQ,YAAY,CAAG;AACzC,QAAQ,UAAU,QAAQ,gBAAgB,IAAI;AAC9C,QAAQ,KAAK,MAAM,MAAM,CAAG;AAC5B,QAAQ,UAAU,MAAM,YAAY,GAAG;AACvC,QAAQ,UAAU,MAAM,gBAAgB,CAAG;AAC3C,QAAQ,UAAU,MAAM,gBAAgB,GAAG;AAC3C,QAAQ,KAAK,OAAO,MAAM,CAAG;AAC7B,QAAQ,UAAU,OAAO,YAAY,GAAG;AACxC,QAAQ,UAAU,OAAO,gBAAgB,CAAG;AAC5C,QAAQ,UAAU,OAAO,gBAAgB,GAAG;AAC5C,QAAQ,OAAO,OAAO,CAAC;AACvB,QAAQ,OAAO,QAAQ,CAAC;AAGxB,IAAM,QAAQ,IAAI,cAAc,OAAO;AACvC,MAAM,KAAK,OAAO,MAAM,CAAG;AAC3B,MAAM,KAAK,OAAO,MAAM,GAAG;AAC3B,MAAM,KAAK,QAAQ,MAAM,GAAG;AAC5B,MAAM,KAAK,MAAM,MAAM,GAAG;AAC1B,MAAM,KAAK,OAAO,MAAM,GAAG;AAC3B,MAAM,OAAO,OAAO,CAAC;AACrB,MAAM,OAAO,QAAQ,CAAC;AAGtB,IAAM,eAAe,IAAI,cAAc,eAAe;AACtD,aAAa,KAAK,OAAO,MAAM,CAAG;AAClC,aAAa,KAAK,OAAO,MAAM,GAAG;AAClC,aAAa,KAAK,QAAQ,MAAM,GAAG;AACnC,aAAa,KAAK,MAAM,MAAM,GAAG;AACjC,aAAa,KAAK,OAAO,MAAM,GAAG;AAClC,aAAa,OAAO,OAAO,CAAC;AAC5B,aAAa,OAAO,QAAQ,CAAC;AAG7B,IAAM,WAAW,IAAI,cAAc,WAAW;AAC9C,SAAS,KAAK,OAAO,MAAM,IAAI;AAC/B,SAAS,KAAK,OAAO,MAAM,IAAI;AAC/B,SAAS,KAAK,QAAQ,MAAM,IAAI;AAChC,SAAS,KAAK,MAAM,MAAM,IAAI;AAC9B,SAAS,KAAK,OAAO,MAAM,IAAI;AAE/B,IAAO,wBAAQ,CAAC,UAAU,SAAS,OAAO,cAAc,QAAQ;;;AC/DhE,IAAM,gBAAgB;AACtB,IAAME,WAAU;AAAA;AAAA,EAEd,uBAAuB;AAAA,EACvB,qBAAqB;AAAA;AAAA,EAErB,qBAAqB;AAAA,EACrB,yBAAyB;AAAA,EACzB,wBAAwB;AAC1B;AAEA,SAAS,eAAe,SAAS,SAAS,SAAS,SAAS;AAC1D,QAAM,SAAS,UAAU,YAAY,UAAU;AAC/C,MAAI,QAAQ,KAAK,KAAK,KAAK,IAAI,MAAM,KAAK;AAC1C,MAAI,SAAS;AAAG,YAAQ,CAAC;AAAA,WAChB,QAAQ;AAAG,YAAQ,MAAM;AAClC,SAAO;AACT;AAIA,SAAS,UAAU,QAAQ,QAAQ;AACjC,MAAI,CAAC,UAAU,CAAC;AAAQ,WAAO,CAAC,GAAG,CAAC;AACpC,QAAM,UAAU,eAAe,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACzE,MAAI,OAAO,WAAW;AAAG,WAAO;AAChC,QAAM,UAAU,eAAe,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACzE,SAAO,CAAC,SAAS,OAAO;AAC1B;AAEA,SAAS,mBAAmB,OAAO,cAAc,GAAK;AACpD,MAAI,aAAa;AACjB,MAAI,aAAa;AACjB,MAAI,eAAe;AACnB,MAAI,SAAS,MAAQ,SAAS;AAAO,iBAAa,IAAI;AAAA,WAC7C,SAAS,MAAQ,SAAS;AAAO,iBAAa,IAAI;AAAA;AACtD,mBAAe,IAAI;AACxB,SAAO,CAAC,YAAY,YAAY,YAAY;AAC9C;AAEA,SAAS,mBAAmB,YAAY,UAAU,UAAU;AAC1D,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAChJ,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAChJ,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,iBAAiB,iBAAiB,cAAc;AAClI,MAAI,UAAU,eAAe,eAAe,iBAAiB,iBAAiB,iBAAiB,mBAAmB,IAAI,eAAe;AACrI,MAAI,SAAS;AAAK,aAAS;AAAA,WAClB,SAAS;AAAM,aAAS;AACjC,MAAI,eAAe,KAAK,KAAK,MAAM;AACnC,iBAAgB,UAAU,eAAgB;AAC1C,MAAI;AACJ,MAAI,eAAeA,SAAQ;AAAqB,iBAAa,WAAW;AAAA,WAC/D,eAAeA,SAAQ;AAAuB,iBAAa,WAAW;AAAA;AAC1E,iBAAa,WAAW;AAC7B,SAAO;AACT;AAEA,SAAS,4BAA4B,kBAAkB,kBAAkB,gBAAgB,YAAY;AACnG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,gBAAgB,GAAG;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,WAAW,eAAe,KAAK,IAAI,gBAAgB,GAAG;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,gBAAgB,GAAG;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,WAAW,eAAe,KAAK,IAAI,gBAAgB,GAAG;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjK,MAAI;AACJ,QAAM,0BAA0B,0BAA0B,kBAAkB,kBAAkB,gBAAgB,UAAU;AACxH,QAAM,4BAA4B,4BAA4B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAC5H,MAAI,4BAA4B,gBAAgB,YAAY;AAC1D,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,EAC5C,OAAO;AACL,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,EAC5C;AACA,SAAO;AACT;AAEA,SAAS,yBAAyB,YAAY,UAAU,UAAU,cAAc;AAC9E,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,mBAAmB,WAAW,CAAC,IAAI,SAAS,CAAC;AACnD,QAAM,iBAAiB,SAAS,CAAC,IAAI,SAAS,CAAC;AAC/C,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,cAAc,CAAC;AAC5G,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,gBAAgB,GAAG,KAAK,IAAI,cAAc,CAAC;AAC5G,MAAI,eAAe;AACnB,MAAI,eAAe;AACnB,MAAI,iBAAiB;AACrB,QAAM,2BAA2B,cAAc,aAAa;AAC5D,MAAI,2BAA2B;AAAK,oBAAgBA,SAAQ;AAAA,WACnD,2BAA2B;AAAM,oBAAgBA,SAAQ;AAAA;AAC7D,sBAAkBA,SAAQ;AAC/B,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAC1G,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,gBAAgB;AAC1G,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,cAAc;AAChG,QAAM,WAAW,KAAK,IAAI,gBAAgB,gBAAgB,YAAY;AACtE,MAAI,qBAAqB,WAAW,CAAC;AACrC,MAAI,qBAAqB,WAAW,CAAC;AACrC,MAAI,mBAAmB,SAAS,CAAC;AACjC,MAAI,mBAAmB,SAAS,CAAC;AACjC,MAAI,aAAa,gBAAgB;AAC/B,uBAAmB,SAAS,CAAC;AAC7B,uBAAmB,SAAS,CAAC;AAAA,EAC/B,WAAW,aAAa,cAAc;AACpC,yBAAqB,SAAS,CAAC;AAC/B,yBAAqB,SAAS,CAAC;AAAA,EACjC;AACA,QAAM,iBAAiB,CAAC,oBAAoB,kBAAkB;AAC9D,QAAM,eAAe,CAAC,kBAAkB,gBAAgB;AACxD,QAAM,aAAa,UAAU,gBAAgB,YAAY;AACzD,QAAM,QAAQ,mBAAmB,YAAYA,SAAQ,sBAAsB;AAC3E,kBAAgB,MAAM,CAAC;AACvB,kBAAgB,MAAM,CAAC;AACvB,oBAAkB,MAAM,CAAC;AACzB,aAAW,eAAe,cAAc;AACtC,UAAM,cAAc,mBAAmB,aAAaA,SAAQ,uBAAuB;AACnF,oBAAgB,YAAY,CAAC;AAC7B,oBAAgB,YAAY,CAAC;AAC7B,sBAAkB,YAAY,CAAC;AAAA,EACjC;AAGA,MAAI;AACJ,MAAI,iBAAiB,KAAK,IAAI,cAAc,cAAc,cAAc,GAAG;AACzE,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EAC/G,WAAW,mBAAmB,KAAK,IAAI,cAAc,cAAc,GAAG;AACpE,yBAAqB,4BAA4B,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EACjH,OAAO;AACL,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,UAAU;AAAA,EAC/K;AACA,SAAO;AACT;AAEA,SAAS,SAAS,WAAW;AAE3B,QAAM,WAAuB,CAAC;AAC9B,QAAM,WAAuB,CAAC;AAC9B,QAAM,cAAwB,CAAC;AAC/B,QAAM,mBAA6B,CAAC;AACpC,MAAI,CAAC;AAAW,WAAO,EAAE,OAAO,aAAa,YAAY,iBAAiB;AAG1E,aAAW,UAAU,OAAO,KAAK;AAC/B,UAAM,SAAS,OAAO,UAAU,MAAM;AACtC,UAAM,YAAsB,CAAC;AAC7B,UAAM,YAAsB,CAAC;AAC7B,eAAWC,UAAS,QAAQ;AAC1B,YAAM,SAAS,UAAUA,OAAM,CAAC,CAAC;AACjC,YAAMC,UAAS,UAAUD,OAAM,CAAC,CAAC;AAEjC,YAAM,SAAS,UAAU,QAAQC,OAAM;AACvC,YAAM,UAAU,OAAO,CAAC;AACxB,YAAM,UAAU,OAAO,CAAC;AACxB,gBAAU,KAAK,OAAO;AACtB,gBAAU,KAAK,OAAO;AAAA,IACxB;AACA,aAAS,KAAK,SAAS;AACvB,aAAS,KAAK,SAAS;AAAA,EACzB;AAGA,aAAW,UAAU,OAAO,KAAK;AAE/B,UAAM,eAAgB,WAAW,OAAO,QAAS,IAAI;AACrD,UAAM,iBAAiB,OAAO,UAAU,MAAM;AAC9C,UAAM,aAAa,UAAU,eAAe,YAAY,EAAE,CAAC,CAAC;AAC5D,UAAM,WAAW,UAAU,eAAe,eAAe,CAAC,EAAE,CAAC,CAAC;AAC9D,UAAM,WAAW,UAAU,eAAe,CAAC,EAAE,CAAC,CAAC;AAE/C,UAAM,eAAe,mBAAmB,YAAY,UAAU,QAAQ;AACtE,UAAM,iBAAiB,yBAAyB,YAAY,UAAU,UAAU,SAAS,MAAM,EAAE,MAAM,YAAY,CAAC;AACpH,gBAAY,MAAM,IAAI;AACtB,qBAAiB,MAAM,IAAI;AAAA,EAC7B;AACA,SAAO,EAAE,OAAO,aAAa,YAAY,iBAAiB;AAC5D;AAEO,SAAS,QAAQ,WAAW;AACjC,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS,SAAS;AACvC,QAAM,YAAY,CAAC;AACnB,aAAW,aAAa,OAAO,KAAK;AAClC,cAAU,OAAO,QAAQ,SAAS,CAAC,IAAI;AAAA,MACrC,MAAM,WAAW,QAAQ,aAAa,MAAM,SAAS,CAAC;AAAA,MACtD,WAAW,gBAAgB,QAAQ,aAAa,WAAW,SAAS,CAAC;AAAA,IACvE;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAAS,MAAM,WAAW;AAC/B,QAAM,QAAgD,CAAC;AACvD,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS,SAAS;AACvC,aAAWC,YAAW,uBAAU;AAC9B,UAAM,aAAaA,SAAQ,aAAa,aAAa,OAAO,aAAa,UAAU;AACnF,QAAI,cAAc;AAAe,YAAM,KAAK,EAAE,MAAMA,SAAQ,MAAM,WAAW,CAAC;AAAA,EAChF;AACA,SAAO;AACT;;;ACjNO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AAEnC,UAAM,YAAY,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,WAAY;AACvE,UAAM,aAAa,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,YAAa;AACzE,UAAM,OAAO,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,MAAO;AAC7D,QAAI,QAAQ,aAAa,cAAe,UAAU,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC,KAAO,WAAW,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,YAAY,CAAC;AAAA,aACxK,QAAQ,aAAc,UAAU,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,kBAAkB,CAAC;AAAA,aACtH,QAAQ,cAAe,WAAW,SAAS,CAAC,IAAI,KAAK,SAAS,CAAC;AAAI,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,mBAAmB,CAAC;AAGlI,UAAM,eAAe,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,cAAe;AAC7E,UAAM,gBAAgB,IAAI,CAAC,EAAE,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS,eAAgB;AAC/E,QAAI,gBAAgB,iBAAiB,KAAK,IAAI,aAAa,YAAY,CAAC,IAAI,cAAc,YAAY,CAAC,CAAC,IAAI,KAAK;AAC/G,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,WAAY,aAAa,SAAS,CAAC,IAAI,cAAc,SAAS,CAAC,IAAK,SAAS,UAAU,CAAC;AAAA,IAC5H;AAAA,EACF;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,IAAI,CAAC,EAAE,QAAQ,IAAI,CAAC,EAAE,KAAK,SAAS,KAAK;AAC3C,YAAM,SAAS,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,KAAK,MAAM,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,KAAK;AAClE,YAAM,QAAQ,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC;AACrD,UAAI,KAAK,IAAI,QAAQ,KAAK,KAAK;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA;AACnF,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,UAAU,QAAQ,IAAI,SAAS,UAAU,CAAC;AACjF,YAAM,WAAW,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC;AACzH,UAAI,WAAW;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,iBAAiB,CAAC;AACxE,YAAM,YAAY,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC;AAC1H,UAAI,YAAY;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,kBAAkB,CAAC;AAC1E,YAAM,YAAY,KAAK,IAAI,KAAK,MAAM,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,CAAC,IAAI,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,CAAC,CAAC;AAC5I,UAAI,YAAY;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,SAAS,KAAK,MAAM,SAAS,UAAU,CAAC;AAC9F,YAAM,YAAY,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,KAAK;AACzC,UAAI,KAAK,IAAI,SAAS,IAAI;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,QAAQ,YAAY,IAAI,OAAO,SAAS,CAAC;AAAA,IAC3G;AAAA,EACF;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AA7E5D,MAAAC,KAAA,IAAAC,KAAAC;AA8EE,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,GAAC,MAAAF,MAAA,IAAI,CAAC,EAAE,gBAAP,gBAAAA,IAAoB,gBAApB,mBAAkC,OAAM,GAACE,OAAAD,MAAA,IAAI,CAAC,EAAE,gBAAP,gBAAAA,IAAoB,iBAApB,gBAAAC,IAAmC;AAAI;AACrF,UAAM,YAAY,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC;AAC5F,UAAM,YAAY,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC;AAC5F,UAAM,WAAW,KAAK,IAAI,YAAY,SAAS;AAE/C,UAAM,aAAa,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC;AAC/F,UAAM,aAAa,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC;AAC/F,UAAM,YAAY,KAAK,IAAI,aAAa,UAAU;AAElD,QAAI,SAAS;AACb,UAAM,aAAa,KAAK,IAAI,WAAW,SAAS,IAAI,KAAK,IAAI,UAAU,SAAS;AAChF,QAAI,aAAa,MAAM;AACrB,eAAS;AACT,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA,IACrD;AAEA,UAAM,kBAAkB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC3G,UAAM,mBAAmB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,EAAE,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC5G,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS;AAChE,QAAI,kBAAkB,kBAAkB;AACtC,UAAI,kBAAkB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,gBAAgB,CAAC;AAAA,IACjF,OAAO;AACL,UAAI,mBAAmB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,eAAe,CAAC;AAAA,IACjF;AAEA,UAAM,mBAAmB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,aAAa,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC7G,UAAM,kBAAkB,KAAK,IAAI,IAAI,CAAC,EAAE,KAAK,GAAG,EAAE,CAAC,IAAI,IAAI,CAAC,EAAE,YAAY,YAAY,CAAC,EAAE,CAAC,CAAC,IAAI,IAAI,CAAC,EAAE,IAAI,CAAC;AAC3G,QAAI,kBAAkB,QAAQ,mBAAmB,QAAQ,kBAAkB,SAAS,mBAAmB;AAAO,eAAS;AACvH,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,eAAe,CAAC;AACzG,QAAI,kBAAkB,SAAS,mBAAmB;AAAO,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,aAAa,CAAC;AAGzG,QAAI;AAAQ,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,iBAAiB,CAAC;AAAA,EAClE;AACA,SAAO;AACT;AAEO,IAAMC,QAAO,CAAC,QAAuC;AAC1D,MAAI,CAAC;AAAK,WAAO,CAAC;AAClB,QAAM,WAAqD,CAAC;AAC5D,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,UAA+C,CAAC;AACtD,QAAI,IAAI,CAAC,EAAE,aAAa;AACtB,iBAAW,CAAC,QAAQ,GAAG,KAAK,OAAO,QAAQ,IAAI,CAAC,EAAE,WAAW,GAAG;AAC9D,YAAI,WAAW,cAAc,MAAM,QAAQ,GAAG,KAAK,IAAI,CAAC;AAAG,kBAAQ,KAAK,EAAE,MAAM,OAAO,YAAY,GAAG,UAAU,IAAI,CAAC,EAAE,CAAC;AAAA,MAC1H;AAAA,IACF;AACA,QAAI,WAAW,QAAQ,SAAS,GAAG;AACjC,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,OAAQ,KAAK,SAAS,CAAC,KAAK,MAAM,EAAE,SAAS,CAAC,KAAK,KAAK,OAAO,CAAE;AACvG,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ,eAA8B,CAAC;AAC5E,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,CAAC,IAAI,EAAE,SAAS,CAAC,IAAI,OAAO,CAAE;AACzF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ,UAAyB,CAAC;AAAA,IACzE;AACA,QAAI,IAAI,CAAC,EAAE,WAAW;AACpB,YAAM,QAAmB,MAAM,IAAI,CAAC,EAAE,SAAS;AAC/C,iBAAW,QAAQ;AAAO,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,KAAK,KAAoB,CAAC;AAAA,IACxF;AAAA,EACF;AACA,SAAO;AACT;;;ACzIO,SAASC,YAAW,KAAK;AAC9B,SAAO;AAAA,IACL,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC;AAAA,IAC5C,KAAK,IAAI,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,CAAC;AAAA,EAC9C;AACF;AAEO,SAASC,cAAa,KAAK;AAChC,SAAO;AAAA,IACL,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK;AAAA,IAC5D,IAAI,WAAW,CAAC,KAAK,IAAI,SAAS,CAAC,IAAI,IAAI,WAAW,CAAC,KAAK;AAAA,EAC9D;AACF;AAEO,SAAS,yBAAyB,KAAK,OAAO,UAAU;AAC7D,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,IAAI,MAAM,MAAM,CAAC;AACvB,QAAM,QAAQ,CAAC;AAAA,IACb,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,WAAW,CAAC,IAAI;AAAA,IACpB,IAAI,SAAS,CAAC,IAAI;AAAA,IAClB,IAAI,SAAS,CAAC,IAAI;AAAA,EACpB,CAAC;AACD,SAAU,GAAM,cAAc,OAAO,OAAO,CAAC,CAAC,GAAG,QAAQ;AAC3D;AAEO,SAASC,qBAAoB,KAAK,QAAQ;AAC/C,QAAM,aAAa,CAAC,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,WAAW,CAAC,IAAI,OAAO,CAAC,CAAC;AAChF,QAAM,WAAW,CAAC,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,GAAG,IAAI,SAAS,CAAC,IAAI,OAAO,CAAC,CAAC;AAC1E,QAAM,gBAAgB,IAAI,cAAc,IAAI,CAAC,UAAU;AACrD,UAAM,cAAc,CAAC,MAAM,CAAC,IAAI,OAAO,CAAC,GAAG,MAAM,CAAC,IAAI,OAAO,CAAC,CAAC;AAC/D,WAAO;AAAA,EACT,CAAC;AACD,SAAO,EAAE,YAAY,UAAU,eAAe,YAAY,IAAI,WAAW;AAC3E;AAEO,SAASC,YAAW,KAAK,SAAS,KAAK;AAC5C,QAAM,SAASF,cAAa,GAAG;AAC/B,QAAMG,QAAOJ,YAAW,GAAG;AAC3B,QAAM,cAAc,CAAC,SAASI,MAAK,CAAC,IAAI,GAAG,SAASA,MAAK,CAAC,IAAI,CAAC;AAC/D,QAAM,aAAa,CAAC,OAAO,CAAC,IAAI,YAAY,CAAC,GAAG,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AAC1E,QAAM,WAAW,CAAC,OAAO,CAAC,IAAI,YAAY,CAAC,GAAG,OAAO,CAAC,IAAI,YAAY,CAAC,CAAC;AACxE,SAAO,EAAE,YAAY,UAAU,eAAe,IAAI,cAAc;AAClE;AAEO,SAASC,aAAY,KAAK;AAC/B,QAAM,UAAUJ,cAAa,GAAG;AAChC,QAAMG,QAAOJ,YAAW,GAAG;AAC3B,QAAM,UAAU,KAAK,IAAI,GAAGI,KAAI;AAChC,QAAM,WAAW,UAAU;AAC3B,QAAM,aAAa,CAAC,QAAQ,CAAC,IAAI,UAAU,QAAQ,CAAC,IAAI,QAAQ;AAChE,QAAM,WAAW,CAAC,QAAQ,CAAC,IAAI,UAAU,QAAQ,CAAC,IAAI,QAAQ;AAC9D,SAAO,EAAE,YAAY,UAAU,eAAe,IAAI,cAAc;AAClE;AAaO,SAASE,kBAAiB,OAAO;AACtC,SAAO,QAAQ,IAAI,KAAK,KAAK,KAAK,OAAO,QAAQ,KAAK,OAAO,IAAI,KAAK,GAAG;AAC3E;AAEO,SAASC,iBAAgB,QAAQ,QAAQ;AAC9C,QAAM,UAAU,KAAK,KAAK,IAAI,KAAK,MAAM,EAAE,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,IAAI,OAAO,CAAC,CAAC;AACxF,SAAOD,kBAAiB,OAAO;AACjC;AAEO,IAAME,0BAAyB,CAAC,GAAGC,OAAM,CAAC,CAAC,GAAG,GAAG,CAAC,GAAG,CAAC,GAAG,GAAGA,EAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AAEzE,SAASC,KAAIC,KAAIC,KAAI;AAC1B,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAID,IAAG,QAAQ,KAAK;AAClC,eAAWA,IAAG,CAAC,IAAIC,IAAG,CAAC;AAAA,EACzB;AACA,SAAO;AACT;AAEO,SAASC,oBAAmB,KAAK,aAAa;AACnD,QAAM,SAAmB,CAAC;AAC1B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,WAAO,KAAK,IAAI,CAAC,EAAE,WAAW,CAAC;AAAA,EACjC;AACA,SAAO;AACT;AAEO,SAASC,2BAA0B,MAAM,MAAM;AACpD,QAAM,UAAsB,CAAC;AAC7B,QAAMC,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,YAAQ,KAAK,CAAC,CAAC;AACf,aAAS,MAAM,GAAG,MAAMA,OAAM,OAAO;AACnC,cAAQ,GAAG,EAAE,KAAKL,KAAI,KAAK,GAAG,GAAGG,oBAAmB,MAAM,GAAG,CAAC,CAAC;AAAA,IACjE;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAASG,qBAAoB,UAAU,QAAQ;AACpD,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,OAAO,KAAK,IAAI,QAAQ;AAC9B,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,CAAC,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,CAAC,GAAG,GAAG,CAAC,CAAC;AACpE,QAAM,oBAAoBR,wBAAuB,OAAO,CAAC,GAAG,OAAO,CAAC,CAAC;AACrE,QAAM,2BAA2BM,2BAA0B,mBAAmB,cAAc;AAC5F,QAAM,4BAA4BN,wBAAuB,CAAC,OAAO,CAAC,GAAG,CAAC,OAAO,CAAC,CAAC;AAC/E,SAAOM,2BAA0B,0BAA0B,yBAAyB;AACtF;AAEO,SAASG,uBAAsB,QAAQ;AAC5C,QAAM,oBAAoB,CAAC,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,CAAC;AACrF,QAAM,uBAAuB,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC;AACxD,QAAM,sBAAsB;AAAA,IAC1B,CAACP,KAAI,kBAAkB,CAAC,GAAG,oBAAoB;AAAA,IAC/C,CAACA,KAAI,kBAAkB,CAAC,GAAG,oBAAoB;AAAA,EACjD;AACA,SAAO;AAAA,IACL,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC;AAAA,IAClD,kBAAkB,CAAC,EAAE,OAAO,oBAAoB,CAAC,CAAC;AAAA,IAClD,CAAC,GAAG,GAAG,CAAC;AAAA,EACV;AACF;AAEO,SAASQ,aAAY,uBAAuB,gBAAgB;AACjE,SAAO;AAAA,IACLR,KAAI,uBAAuB,eAAe,CAAC,CAAC;AAAA,IAC5CA,KAAI,uBAAuB,eAAe,CAAC,CAAC;AAAA,EAC9C;AACF;;;ACpIO,IAAMS,WAAU;AAAA,EACrB,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,UAAU,GAAG,SAAS;AAAA,EAC3B,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,SAAS,GAAG,QAAQ;AAAA,EACzB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AAAA,EACvB,EAAE,GAAG,QAAQ,GAAG,OAAO;AACzB;;;ACz3FO,IAAM,eAAN,MAAmB;AAAA,EAQxB,YAAYC,SAAmB;AAP/B;AACA;AACA;AACA;AACA;AACA;AAnBF,QAAAC,KAAA,IAAAC,KAAAC;AAsBI,SAAK,QAAQH;AACb,SAAK,UAAkBI,SAAQ,IAAI,CAAC,WAAW,CAAC,OAAO,GAAG,OAAO,CAAC,CAAC;AACnE,SAAK,gBAAmB,GAAS,KAAK,OAAO;AAC7C,SAAK,cAAYD,OAAAD,OAAA,MAAAD,MAAA,6BAAM,UAAN,gBAAAA,IAAa,WAAb,mBAAsB,OAAtB,gBAAAC,IAA0B,UAA1B,gBAAAC,IAAkC,OAAM;AACzD,SAAK,kBAAqB,GAAS,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AACnE,SAAK,wBAA2B,GAAS,CAAC,KAAK,YAAY,GAAG,KAAK,YAAY,CAAC,CAAC;AAAA,EACnF;AAAA,EAEA,eAAe,OAAO;AACpB,UAAME,MAA4B,CAAC;AACnC,IAAAA,IAAE,aAAgB,GAAM,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC9C,IAAAA,IAAE,WAAc,GAAM,OAAO,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AAC5C,IAAAA,IAAE,MAAS,GAAIA,IAAE,YAAY,KAAK,eAAe;AACjD,IAAAA,IAAE,kBAAqB,GAAIA,IAAE,KAAK,KAAK,aAAa;AACpD,IAAAA,IAAE,eAAkB,GAAIA,IAAE,UAAU,KAAK,qBAAqB;AAC9D,IAAAA,IAAE,MAAS,GAAIA,IAAE,iBAAiBA,IAAE,YAAY;AAChD,IAAAA,IAAE,cAAiB,GAAIA,IAAE,KAAK,KAAK,eAAe;AAClD,IAAAA,IAAE,MAAS,GAAIA,IAAE,iBAAiBA,IAAE,YAAY;AAChD,IAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,KAAK,eAAe;AAChD,UAAM,MAAS,GAAS,CAACA,IAAE,aAAyBA,IAAE,SAAqB,GAAG,CAAC;AAC/E,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AAAA,EAEA,mBAAmB,kBAAkBC,QAAuB;AAC1D,UAAMD,MAA4B,CAAC;AACnC,IAAAA,IAAE,UAAa,EAAQ,kBAAkB,CAAC,IAAI,GAAG,CAAC,CAAC;AACnD,IAAAA,IAAE,MAAS,GAAIA,IAAE,SAAS,KAAK,eAAe;AAC9C,IAAAA,IAAE,YAAe,GAAIA,IAAE,KAAK,KAAK,QAAQC,MAAK,IAAI,KAAK,QAAQA,MAAK,IAAI,CAAC;AACzE,UAAM,MAAS,GAAID,IAAE,WAAW,KAAK,eAAe;AACpD,WAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AAAA,EAEA,MAAM,QAAQ,OAAiBE,SAA+G;AAxDhJ,QAAAN;AAyDI,UAAMI,MAA4B,CAAC;AACnC,IAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AAC1E,IAAAA,IAAE,MAAS,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACxC,IAAAA,IAAE,QAAW,GAAIA,IAAE,KAAK,UAAU,GAAG;AACrC,IAAAA,IAAE,UAAU,KAAK,MAAM,QAAQA,IAAE,KAAK;AACtC,IAAAA,IAAE,cAAiB,GAAQA,IAAE,OAAO;AACpC,IAAAA,IAAE,QAAW,GAAMA,IAAE,aAAa,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,IAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK;AAC9B,IAAAA,IAAE,SAAY,GAAQA,IAAE,OAAO;AAC/B,UAAM,SAAS,MAAMA,IAAE,OAAO,KAAK;AACnC,IAAAA,IAAE,QAAW,GAAMA,IAAE,aAAa,CAAC,GAAG,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC;AACjD,IAAAA,IAAE,OAAO,KAAK,eAAeA,IAAE,KAAK;AAEpC,IAAAA,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,MAAkBA,IAAE,QAAoB,OAAKJ,MAAAM,QAAO,SAAP,gBAAAN,IAAa,gBAAe,IAAIM,QAAO,KAAK,cAAcA,QAAO,KAAK,aAAa;AAChL,UAAM,MAAM,MAAMF,IAAE,IAAI,MAAM;AAC9B,UAAM,QAA8F,CAAC;AACrG,eAAWC,UAAS,KAAK;AACvB,YAAM,IAA4B,CAAC;AACnC,QAAE,MAAS,GAAMD,IAAE,MAAM,CAACC,QAAO,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AAC5C,QAAE,QAAW,GAAMD,IAAE,aAAa,CAACC,QAAO,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC;AACrD,QAAE,OAAO,KAAK,mBAAmB,EAAE,OAAOA,MAAK;AAC/C,QAAE,gBAAmB,EAAQ,EAAE,MAAM,CAAC,IAAI,CAAC,CAAC;AAC5C,YAAM,MAAM,MAAM,EAAE,IAAI,KAAK;AAC7B,YAAM,aAAa,IAAI,MAAM,GAAG,CAAC;AACjC,YAAM,WAAW,IAAI,MAAM,GAAG,CAAC;AAC/B,YAAM,gBAAgB,MAAM,EAAE,cAAc,MAAM;AAClD,YAAME,QAAO,EAAE,YAAY,UAAU,eAAe,YAAY,OAAOF,MAAK,EAAE;AAC9E,YAAM,SAAcG,qBAAoBD,OAAM,EAAE,MAAM,MAAM,CAAC,KAAK,KAAK,KAAK,YAAY,MAAM,MAAM,CAAC,KAAK,KAAK,KAAK,SAAS,CAAC;AAC9H,YAAM,KAAK,MAAM;AACjB,aAAO,KAAK,CAAC,EAAE,QAAQ,CAAC,WAAc,GAAQ,EAAE,MAAM,CAAC,CAAC;AAAA,IAC1D;AACA,WAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,WAAO;AAAA,EACT;AACF;;;AC7EA,IAAM,uBAAuB;AAC7B,IAAM,uBAAuB;AAC7B,IAAM,kBAAkB,CAAC,GAAG,GAAG,GAAG,IAAI,IAAI,GAAG,CAAC;AAC9C,IAAM,wBAAwB;AAC9B,IAAM,gCAAgC;AACtC,IAAIK,aAAW;AAER,IAAM,eAAN,MAAmB;AAAA,EAQxB,YAAY,cAAcC,gBAAe;AAPzC;AACA;AACA;AACA;AACA;AACA;AA3BF,QAAAC,KAAA,IAAAC;AA8BI,SAAK,eAAe;AACpB,SAAK,gBAAgBF;AACrB,SAAK,cAAYE,OAAA,MAAAD,MAAA,KAAK,kBAAL,gBAAAA,IAAoB,WAApB,mBAA6B,GAAG,UAAhC,gBAAAC,IAAwC,OAAM;AAC/D,SAAK,cAAc,CAAC;AACpB,SAAK,UAAU,OAAO;AACtB,SAAK,gBAAgB;AAAA,EACvB;AAAA,EAEA,8BAA8B,WAAW;AACvC,UAAMC,MAAK,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACpC,UAAMC,MAAK,UAAU,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC;AACpC,UAAM,aAAa,CAAC,KAAK,IAAI,GAAGD,GAAE,GAAG,KAAK,IAAI,GAAGC,GAAE,CAAC;AACpD,UAAM,WAAW,CAAC,KAAK,IAAI,GAAGD,GAAE,GAAG,KAAK,IAAI,GAAGC,GAAE,CAAC;AAClD,WAAO,EAAE,YAAY,SAAS;AAAA,EAChC;AAAA,EAEA,uBAAuB,eAAe,gBAAgB;AACpD,UAAM,uBAAuB,cAAc,IAAI,CAAC,UAAeC,aAAY,CAAC,GAAG,OAAO,CAAC,GAAG,cAAc,CAAC;AACzG,UAAM,gBAAgB,KAAK,8BAA8B,oBAAoB;AAC7E,WAAYC,YAAgBC,aAAY,aAAa,GAAG,oBAAoB;AAAA,EAC9E;AAAA,EAEA,uBAAuB,WAAW;AAChC,UAAM,cAAc,KAAK,8BAA8B,SAAS;AAChE,UAAM,gBAAqBD,YAAgBC,aAAY,WAAW,GAAG,oBAAoB;AACzF,kBAAc,gBAAgB,CAAC;AAC/B,aAAS,IAAI,GAAG,IAAI,gBAAgB,QAAQ,KAAK;AAC/C,oBAAc,cAAc,KAAK,UAAU,gBAAgB,CAAC,CAAC,EAAE,MAAM,GAAG,CAAC,CAAC;AAAA,IAC5E;AACA,WAAO;AAAA,EACT;AAAA,EAEA,mBAAmB,WAAW,MAAM,OAAO,gBAAgB;AACzD,UAAM,UAAeC,YAAW,IAAI;AACpC,UAAM,cAAc,CAAC,QAAQ,CAAC,IAAI,KAAK,WAAW,QAAQ,CAAC,IAAI,KAAK,YAAY,QAAQ,CAAC,IAAI,QAAQ,CAAC,KAAK,KAAK,YAAY,CAAC;AAC7H,UAAM,eAAe,UAAU,IAAI,CAAC,UAAU;AAAA,MAC5C,YAAY,CAAC,KAAK,MAAM,CAAC,IAAI,KAAK,YAAY;AAAA,MAC9C,YAAY,CAAC,KAAK,MAAM,CAAC,IAAI,KAAK,YAAY;AAAA,MAC9C,YAAY,CAAC,IAAI,MAAM,CAAC;AAAA,IAC1B,CAAC;AACD,UAAM,uBAA4BC,qBAAoB,OAAO,CAAC,GAAG,CAAC,CAAC;AACnE,UAAM,gBAAgB,aAAa,IAAI,CAAC,UAAU;AAChD,YAAM,UAAeJ,aAAY,OAAO,oBAAoB;AAC5D,aAAO,CAAC,GAAG,SAAS,MAAM,CAAC,CAAC;AAAA,IAC9B,CAAC;AACD,UAAM,wBAA6BK,uBAAsB,cAAc;AACvE,UAAM,YAAY,CAAC,GAAQC,cAAa,IAAI,GAAG,CAAC;AAChD,UAAM,oBAAoB;AAAA,MACnBC,KAAI,WAAW,sBAAsB,CAAC,CAAC;AAAA,MACvCA,KAAI,WAAW,sBAAsB,CAAC,CAAC;AAAA,IAC9C;AACA,WAAO,cAAc,IAAI,CAAC,UAAU;AAAA,MAClC,KAAK,MAAM,MAAM,CAAC,IAAI,kBAAkB,CAAC,CAAC;AAAA,MAC1C,KAAK,MAAM,MAAM,CAAC,IAAI,kBAAkB,CAAC,CAAC;AAAA,MAC1C,KAAK,MAAM,MAAM,CAAC,CAAC;AAAA,IACrB,CAAC;AAAA,EACH;AAAA,EAEA,MAAM,cAAc,OAAOC,SAAQ;AACjC,QAAI,cAAc;AAGlB,QAAI;AACJ,UAAM,YAAYA,QAAO,KAAK,YAAY,KAAM,IAAI,IAAId;AACxD,UAAM,YAAY,KAAK,WAAWc,QAAO,KAAK,cAAc;AAC5D,QAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,cAAQ,MAAM,KAAK,aAAa,QAAQ,OAAOA,OAAM;AACrD,WAAK,UAAU;AAAA,IACjB;AACA,QAAIA,QAAO;AAAa,WAAK;AAG7B,QAAI,SAAU,MAAM,SAAS,MAAQ,MAAM,WAAW,KAAK,iBAAmB,KAAK,kBAAkBA,QAAO,KAAK,eAAgB,CAACA,QAAO,KAAK,YAAY;AACxJ,WAAK,gBAAgB;AACrB,WAAK,cAAc,CAAC,GAAG,KAAK;AAE5B,UAAI,KAAK,YAAY,SAAS;AAAG,sBAAc;AAAA,IACjD;AACA,UAAM,QAAoJ,CAAC;AAG3J,aAAS,IAAI,GAAG,IAAI,KAAK,YAAY,QAAQ,KAAK;AAChD,YAAM,aAAa,KAAK,YAAY,CAAC;AACrC,UAAI,CAAC;AAAY;AACjB,UAAIA,QAAO,KAAK,WAAW;AACzB,cAAM,QAAQA,QAAO,KAAK,WAAgBC,iBAAgB,WAAW,cAAc,qBAAqB,GAAG,WAAW,cAAc,6BAA6B,CAAC,IAAI;AACtK,cAAM,aAAkBH,cAAa,UAAU;AAC/C,cAAM,uBAAyC,CAAC,WAAW,CAAC,IAAI,MAAM,MAAM,CAAC,GAAG,WAAW,CAAC,IAAI,MAAM,MAAM,CAAC,CAAC;AAC9G,cAAM,eAAeE,QAAO,KAAK,YAAY,IAAI,QAAQ,SAAS,kBAAkB,IAAO,GAAM,iBAAiB,OAAO,OAAO,GAAG,oBAAoB,IAAI,MAAM,MAAM;AACvK,cAAM,iBAAsBJ,qBAAoB,CAAC,OAAO,UAAU;AAClE,cAAM,SAAS,cAAc,KAAK,uBAAuB,WAAW,eAAe,cAAc,IAAI;AACrG,cAAM,eAAoB,yBAAyB,QAAQ,cAAc,CAAC,KAAK,WAAW,KAAK,SAAS,CAAC;AACzG,cAAM,YAAe,GAAI,cAAc,UAAU,KAAK;AACtD,QAAG,GAAQ,YAAY;AACvB,QAAG,GAAQ,YAAY;AACvB,cAAM,CAAC,aAAa,SAAS,IAAI,KAAK,cAAc,QAAQ,SAAS;AACrE,QAAAV,aAAW,IAAI;AACf,QAAG,GAAQ,SAAS;AACpB,cAAM,cAAc,MAAM,YAAY,KAAK,GAAG,CAAC;AAC/C,QAAG,GAAQ,WAAW;AACtB,YAAI,cAAcc,QAAO,KAAK,gBAAgB,GAAG;AAC/C,gBAAM,oBAAuB,EAAQ,WAAW,CAAC,IAAI,CAAC,CAAC;AACvD,gBAAM,YAAY,MAAM,kBAAkB,MAAM;AAChD,UAAG,GAAQ,SAAS;AACpB,UAAG,GAAQ,iBAAiB;AAC5B,gBAAM,SAAS,KAAK,mBAAmB,WAAW,QAAQ,OAAO,cAAc;AAC/E,gBAAM,kBAAkB,KAAK,uBAAuB,MAAM;AAC1D,eAAK,YAAY,CAAC,IAAI,EAAE,GAAG,iBAAiB,WAAW;AACvD,gBAAM,SAAS;AAAA,YACb,WAAW;AAAA,YACX;AAAA,YACA,eAAe,WAAW;AAAA,YAC1B,kBAAkB;AAAA,YAClB,KAAK,EAAE,SAAS,gBAAgB,YAAY,aAAa,gBAAgB,SAAS;AAAA,UACpF;AACA,gBAAM,KAAK,MAAM;AAAA,QACnB,OAAO;AACL,eAAK,YAAY,CAAC,IAAI;AAAA,QACxB;AACA,QAAG,GAAQ,SAAS;AAAA,MACtB,OAAO;AAEL,cAAM,WAAgBP,YAAgBC,aAAY,UAAU,GAAG,oBAAoB;AACnF,cAAM,SAAS;AAAA,UACb,YAAY,WAAW;AAAA,UACvB,eAAe,WAAW;AAAA,UAC1B,kBAAkB;AAAA,UAClB,KAAK,EAAE,SAAS,SAAS,YAAY,aAAa,SAAS,SAAS;AAAA,UACpE,WAAW,CAAC;AAAA,QACd;AACA,cAAM,KAAK,MAAM;AAAA,MACnB;AAAA,IACF;AACA,SAAK,cAAc,KAAK,YAAY,OAAO,CAAC,MAAM,MAAM,IAAI;AAC5D,SAAK,gBAAgB,MAAM;AAC3B,QAAI,MAAM,SAASM,QAAO,KAAK;AAAa,YAAM,SAASA,QAAO,KAAK;AACvE,WAAO;AAAA,EACT;AACF;;;ACxJA,IAAME,mBAAkB;AAAA,EACtB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,QAAQ,CAAC,GAAG,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACrB,OAAO,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,CAAC;AACV;AAEA,IAAI;AACJ,IAAI;AACJ,IAAI;AAEJ,eAAsBC,UAAQ,OAAeC,SAAuC;AAClF,QAAM,cAAc,MAAM,aAAa,cAAc,OAAOA,OAAM;AAClE,MAAI,CAAC;AAAa,WAAO,CAAC;AAC1B,QAAM,QAAsB,CAAC;AAC7B,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAMC,eAAc,CAAC;AACrB,QAAI,YAAY,CAAC,EAAE,WAAW;AAC5B,iBAAW,OAAO,OAAO,KAAKH,gBAAe,GAAG;AAC9C,QAAAG,aAAY,GAAG,IAAIH,iBAAgB,GAAG,EAAE,IAAI,CAACI,WAAU,YAAY,CAAC,EAAE,UAAUA,MAAK,CAAC;AAAA,MACxF;AAAA,IACF;AACA,UAAM,YAAY,YAAY,CAAC,EAAE;AACjC,QAAI,MAAW,CAAC,OAAO,kBAAkB,OAAO,kBAAkB,GAAG,CAAC;AACtE,QAAI,SAAc,CAAC,GAAG,GAAG,GAAG,CAAC;AAC7B,QAAI,aAAa,UAAU,SAAS,GAAG;AACrC,iBAAWC,OAAM,WAAW;AAC1B,YAAIA,IAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAIA,IAAG,CAAC;AACjC,YAAIA,IAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAIA,IAAG,CAAC;AACjC,YAAIA,IAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAIA,IAAG,CAAC;AACjC,YAAIA,IAAG,CAAC,IAAI,IAAI,CAAC;AAAG,cAAI,CAAC,IAAIA,IAAG,CAAC;AAAA,MACnC;AACA,UAAI,CAAC,KAAK,IAAI,CAAC;AACf,UAAI,CAAC,KAAK,IAAI,CAAC;AACf,eAAS,CAAC,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,IAAI,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE;AAAA,IAC1I,OAAO;AACL,YAAM,YAAY,CAAC,EAAE,MAAM;AAAA,QACzB,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QACrD,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QACrD,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,QAC1H,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,CAAC,KAAK,GAAI,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,CAAC,IAAI,KAAK,IAAI,GAAG,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,CAAC,CAAC;AAAA,MAC5H,IAAI,CAAC,GAAG,GAAG,GAAG,CAAC;AACf,eAAS;AAAA,QACN,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,KAAM,MAAM,MAAM,CAAC,KAAK;AAAA,QACpD,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,KAAM,MAAM,MAAM,CAAC,KAAK;AAAA,SACpD,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,SACxF,YAAY,CAAC,EAAE,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,EAAE,IAAI,QAAQ,CAAC,MAAM,MAAM,MAAM,CAAC,KAAK;AAAA,MAC3F;AAAA,IACF;AACA,UAAM,YAAuB,QAAQ,SAAS;AAC9C,UAAM,KAAK;AAAA,MACT,IAAI;AAAA,MACJ,OAAO,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,UAAU,IAAI;AAAA,MACrD,UAAU,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,aAAa,IAAI;AAAA,MAC3D,aAAa,KAAK,MAAM,MAAM,YAAY,CAAC,EAAE,gBAAgB,IAAI;AAAA,MACjE,OAAO;AAAA,MACP;AAAA,MACA;AAAA,MACA;AAAA,MACA,aAAaF;AAAA,MACb;AAAA,IACF,CAAC;AAAA,EACH;AACA,SAAO;AACT;AAEA,eAAsBG,OAAKJ,SAAiE;AApF5F,MAAAK,KAAA;AAqFE,MAAI,IAAI,SAAS;AACf,wBAAoB;AACpB,oBAAgB;AAAA,EAClB;AACA,MAAI,CAAC,qBAAqB,CAAC,eAAe;AACxC,KAAC,mBAAmB,aAAa,IAAI,MAAM,QAAQ,IAAI;AAAA,MACrDL,QAAO,KAAK,UAAU,WAAUK,MAAAL,QAAO,KAAK,aAAZ,gBAAAK,IAAsB,SAAS,IAAI;AAAA,MACnEL,QAAO,KAAK,YAAY,WAAU,KAAAA,QAAO,KAAK,aAAZ,mBAAsB,SAAS,IAAI;AAAA,IACvE,CAAC;AAAA,EACH,OAAO;AACL,QAAIA,QAAO;AAAO,UAAI,iBAAiB,kBAAkB,UAAU,CAAC;AACpE,QAAIA,QAAO;AAAO,UAAI,iBAAiB,cAAc,UAAU,CAAC;AAAA,EAClE;AACA,QAAM,eAAe,oBAAoB,IAAiB,aAAa,iBAAiB,IAAI;AAC5F,MAAI,gBAAgB;AAAe,mBAAe,IAAiB,aAAa,cAAc,aAAa;AAC3G,SAAO,CAAC,mBAAmB,aAAa;AAC1C;;;ACjFA,IAAMM,UAAiD,CAAC,MAAM,IAAI;AAClE,IAAM,mBAAmB,CAAC,+CAA+C,oDAAoD;AAE7H,IAAMC,aAAY,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAEjC,IAAM,UAAU,CAAC,QAAQ,QAAQ,SAAS,SAAS,QAAQ,OAAO,UAAU;AAC5E,IAAM,YAAY;AAElB,IAAM,gBAAgB;AACtB,IAAM,wBAAwB;AAC9B,IAAM,qBAAqB;AAE3B,IAAIC,YAAU,OAAO;AACrB,IAAIC,aAAW;AACf,IAAI,aAA+B,CAAC,GAAG,CAAC;AAUxC,IAAMC,SAGF;AAAA,EACF,OAAO,CAAC;AAAA,EACR,OAAO,CAAC;AACV;AAEA,IAAM,YAAY;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAShB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC;AAAA,EAClB,QAAQ,CAAC,GAAG,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACrB,OAAO,CAAC,IAAI,IAAI,IAAI,EAAE;AAAA,EACtB,MAAM,CAAC,CAAC;AAAA,EACR,MAAM,CAAC,GAAG,IAAI,IAAI,GAAG,GAAG,GAAG,CAAC;AAC9B;AAEA,eAAsBC,YAAWC,SAAqC;AAtEtE,MAAAC;AAwEE,MAAI,IAAI;AAAS,IAAAP,QAAO,CAAC,IAAI;AAC7B,MAAI,CAACA,QAAO,CAAC,GAAG;AAGd,YAAQ,CAAC,qBAAqB,SAAS,wBAAwB,SAAS,YAAY,UAAU,QAAQ,mBAAmB,iBAAiB,qBAAqB,qBAAqB,cAAc,SAAS,SAAS,OAAO,GAAGM,OAAM;AACpO,IAAAN,QAAO,CAAC,IAAI,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAC3D,UAAM,SAASP,QAAO,CAAC,EAAE,UAAU,IAAI,OAAO,OAAOA,QAAO,CAAC,EAAE,eAAe,QAAQ,CAAC,IAAI;AAE3F,IAAAC,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAExF,IAAAA,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EAC1F,WAAWK,QAAO;AAAO,QAAI,iBAAiBN,QAAO,CAAC,EAAE,UAAU,CAAC;AACnE,SAAOA,QAAO,CAAC;AACjB;AAEA,eAAsB,aAAaM,SAAqC;AAvFxE,MAAAC;AAwFE,MAAI,IAAI;AAAS,IAAAP,QAAO,CAAC,IAAI;AAC7B,MAAI,CAACA,QAAO,CAAC,GAAG;AACd,IAAAA,QAAO,CAAC,IAAI,MAAM,WAAUO,MAAAD,QAAO,KAAK,aAAZ,gBAAAC,IAAsB,SAAS;AAC3D,UAAM,SAASP,QAAO,CAAC,EAAE,UAAU,IAAI,OAAO,OAAOA,QAAO,CAAC,EAAE,eAAe,QAAQ,CAAC,IAAI;AAE3F,IAAAC,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAExF,IAAAA,WAAU,CAAC,EAAE,CAAC,IAAI,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EAC1F,WAAWK,QAAO;AAAO,QAAI,iBAAiBN,QAAO,CAAC,EAAE,UAAU,CAAC;AACnE,SAAOA,QAAO,CAAC;AACjB;AAQA,eAAe,YAAY,OAAiBQ,SAA6C;AACvF,QAAM,QAA4B,CAAC;AACnC,MAAI,CAAC,SAAS,CAACC,QAAO,CAAC;AAAG,WAAO;AACjC,QAAMC,MAA4B,CAAC;AACnC,QAAMC,UAAS,MAAM,MAAM,CAAC,KAAK,MAAM,MAAM,MAAM,CAAC,KAAK;AACzD,QAAM,SAAS,KAAK,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,CAAC,IAAI,GAAG,qBAAqB;AACxF,QAAM,QAAQ,KAAK,MAAM,SAASA,SAAQ,CAAC,IAAI;AAC/C,EAAAD,IAAE,SAAY,GAAM,eAAe,OAAO,CAAC,QAAQ,KAAK,CAAC;AACzD,EAAAA,IAAE,OAAU,GAAKA,IAAE,QAAQ,OAAO;AAClC,GAACA,IAAE,WAAWA,IAAE,QAAQ,IAAI,MAAMD,QAAO,CAAC,EAAE,aAAaC,IAAE,MAAM,gBAAgB;AACjF,EAAAA,IAAE,QAAW,GAAQA,IAAE,UAAU,CAAC,GAAG,CAAC,CAAC;AACvC,EAAAA,IAAE,SAAY,GAAQA,IAAE,WAAW,CAAC,CAAC,CAAC;AACtC,QAAM,cAA2B,GAAQA,IAAE,QAAQ,CAAC;AACpD,EAAG,GAAQ,YAAY,SAAS,CAAC;AACjC,cAAY,OAAO,WAAW,CAAC;AAC/B,EAAAA,IAAE,WAAc,GAAM,aAAa,CAAC;AACpC,EAAG,GAAQ,WAAW;AAEtB,EAAAA,IAAE,MAAS,GAAIA,IAAE,UAAU,CAAC;AAC5B,EAAAA,IAAE,SAAY,GAAOA,IAAE,UAAU,CAAC;AAClC,MAAIE,MAAK;AACT,EAAAF,IAAE,MAAM,MAAS,GAAM,uBAAuBA,IAAE,OAAmBA,IAAE,MAAkBF,QAAO,KAAK,eAAe,KAAK,GAAGA,QAAO,KAAK,gBAAgB,GAAGA,QAAO,KAAK,iBAAiB,CAAC;AACvL,QAAM,MAAM,MAAME,IAAE,IAAI,KAAK;AAC7B,QAAM,SAAS,MAAMA,IAAE,IAAI,KAAK;AAChC,QAAM,WAAW,MAAMA,IAAE,OAAO,KAAK;AACrC,aAAW,YAAY,MAAM,KAAK,GAAG,GAAG;AACtC,UAAM,WAAc,GAAMA,IAAE,OAAO,UAAU,CAAC;AAC9C,UAAM,QAAQ,MAAM,SAAS,KAAK;AAClC,IAAG,GAAQ,QAAQ;AACnB,UAAM,UAAe,CAAC,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,MAAM,CAAC,IAAI,MAAM,CAAC,GAAG,MAAM,CAAC,IAAI,MAAM,CAAC,CAAC;AAClF,UAAM,SAAkB,MAAM,SAAS,kBAAkB;AACzD,UAAM,UAAe,CAAC,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,GAAG,KAAK,MAAM,QAAQ,CAAC,IAAI,WAAW,CAAC,CAAC,CAAC;AACpL,UAAM,QAAQ,OAAO,QAAQ;AAC7B,UAAM,QAAQ,QAAQ,SAAS,QAAQ,CAAC;AACxC,UAAMG,QAAyB,EAAE,IAAID,OAAM,OAAO,KAAK,SAAS,QAAQ,MAAM;AAC9E,UAAM,KAAKC,KAAI;AAAA,EACjB;AACA,SAAO,KAAKH,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,QAAM,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACtC,MAAI,MAAM,UAAUF,QAAO,KAAK,eAAe;AAAI,UAAM,SAAUA,QAAO,KAAK,eAAe;AAC9F,SAAO;AACT;AAEA,eAAe,cAAc,OAAiB,GAAqBA,SAAqC;AACtG,QAAMK,QAAmB;AAAA;AAAA,IACvB,IAAI,EAAE;AAAA,IACN,OAAO,KAAK,MAAM,MAAM,EAAE,KAAK,IAAI;AAAA,IACnC,UAAU,KAAK,MAAM,MAAM,EAAE,KAAK,IAAI;AAAA,IACtC,aAAa;AAAA,IACb,KAAK,EAAE;AAAA,IACP,QAAQ,EAAE;AAAA,IACV,OAAO,EAAE;AAAA,IACT,WAAW,CAAC;AAAA,IACZ,WAAW,CAAC;AAAA,IACZ,aAAa,CAAC;AAAA,EAChB;AACA,MAAI,SAASJ,QAAO,CAAC,KAAKD,QAAO,KAAK,aAAa,EAAE,SAASA,QAAO,KAAK,iBAAiB,IAAI;AAC7F,UAAME,MAA4B,CAAC;AACnC,UAAM,UAAU,CAAC,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,IAAI,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,IAAI,EAAE,OAAO,CAAC,CAAC;AAC/F,IAAAA,IAAE,OAAU,GAAM,cAAc,OAAO,CAAC,OAAO,GAAG,CAAC,CAAC,GAAG,CAACI,WAAU,CAAC,EAAE,CAAC,GAAGA,WAAU,CAAC,EAAE,CAAC,CAAC,GAAG,UAAU;AACrG,IAAAJ,IAAE,MAAS,GAAIA,IAAE,MAAM,UAAU,KAAK;AACtC,KAACA,IAAE,OAAOA,IAAE,SAAS,IAAID,QAAO,CAAC,EAAE,QAAQC,IAAE,KAAK,CAAC,cAAc,UAAU,CAAC;AAC5E,UAAM,YAAY,MAAMA,IAAE,MAAM,KAAK,GAAG,CAAC;AACzC,UAAM,SAAS,MAAM,KAAK,MAAM,OAAO,IAAI,KAAK,IAAI,QAAQ,EAAE,KAAK;AACnE,QAAI,UAAUF,QAAO,KAAK,iBAAiB,IAAI;AAC7C,MAAAK,MAAK,cAAc;AACnB,MAAAH,IAAE,WAAc,EAAQA,IAAE,WAAW,CAAC,IAAI,CAAC,CAAC;AAC5C,YAAM,aAAsB,MAAMA,IAAE,SAAS,MAAM;AACnD,YAAM,YAAqB,WAAW,IAAI,CAACK,SAAQ,CAACA,KAAI,CAAC,IAAID,WAAU,CAAC,EAAE,CAAC,GAAGC,KAAI,CAAC,IAAID,WAAU,CAAC,EAAE,CAAC,GAAIC,KAAI,CAAC,KAAK,CAAE,CAAC;AACtH,YAAM,aAAsB,UAAU,IAAI,CAACA,SAAQ,CAACA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,GAAGA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,GAAIA,KAAI,CAAC,KAAK,CAAE,CAAC;AAC9G,MAAAF,MAAK,YAAa,WAAY,IAAI,CAACE,SAAQ,CAAC,WAAW,CAAC,KAAKA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,IAAI,WAAW,CAAC,KAAKA,KAAI,CAAC,IAAI,EAAE,OAAO,CAAC,IAAKA,KAAI,CAAC,KAAK,CAAE,CAAC;AAC1I,MAAAF,MAAK,YAAuB,QAAQA,MAAK,SAAS;AAClD,iBAAW,OAAO,OAAO,KAAK,SAAS,GAAG;AACxC,QAAAA,MAAK,YAAY,GAAG,IAAI,UAAU,GAAG,EAAE,IAAI,CAACG,WAAmBH,MAAK,aAAaA,MAAK,UAAUG,MAAK,IAAIH,MAAK,UAAUG,MAAK,IAAI,IAAK;AAAA,MACxI;AAAA,IACF;AACA,WAAO,KAAKN,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAAA,EAC1D;AACA,SAAOG;AACT;AAEA,eAAsBI,UAAQ,OAAiBT,SAAuC;AA3LtF,MAAAU,KAAA;AA4LE,MAAI,GAACA,MAAAT,QAAO,CAAC,MAAR,gBAAAS,IAAY,gBAAe,GAAC,KAAAT,QAAO,CAAC,MAAR,mBAAY,gBAAe,CAACA,QAAO,CAAC,EAAE,OAAO,CAAC,EAAE,SAAS,CAACA,QAAO,CAAC,EAAE,OAAO,CAAC,EAAE;AAAO,WAAO,CAAC;AAC9H,eAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AACtD,EAAAU;AACA,QAAM,YAAYX,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIY;AACxD,QAAM,YAAYD,aAAWX,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAOa,OAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,mBAAmB,KAAKb,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIY;AACpE,UAAM,oBAAoBD,YAAU,KAAKX,QAAO,KAAK,cAAc;AACnE,QAAIA,QAAO,eAAea,OAAM,MAAM,WAAWb,QAAO,KAAK,aAAa;AACxE,MAAAa,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASb,OAAM,CAAC,CAAC;AAAA,IACrG,WAAWA,QAAO,eAAe,oBAAoB,qBAAqBa,OAAM,MAAM,SAAS,GAAG;AAChG,MAAAA,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASb,OAAM,CAAC,CAAC;AAAA,IACrG,OAAO;AACL,MAAAa,OAAM,QAAQ,MAAM,YAAY,OAAOb,OAAM;AAC7C,MAAAY,aAAW,IAAI;AACf,MAAAC,OAAM,QAAQ,MAAM,QAAQ,IAAIA,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAASb,OAAM,CAAC,CAAC;AACnG,MAAAW,YAAU;AAAA,IACZ;AAEA,UAAM,WAAW,CAAC,GAAGE,OAAM,KAAK;AAChC,IAAAA,OAAM,MAAM,SAAS;AACrB,QAAIb,QAAO,mBAAmB,GAAG;AAC/B,eAAS,IAAI,GAAG,IAAIa,OAAM,MAAM,QAAQ,KAAK;AAC3C,cAAM,SAAa,OAAOA,OAAM,MAAM,CAAC,EAAE,WAAW,UAAU;AAC9D,YAAI,OAAO,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,QAAQ,OAAO,IAAI,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,KAAK,QAAQA,OAAM,MAAM,CAAC,EAAE,eAAeA,OAAM,MAAM,CAAC,EAAE,eAAeb,QAAO,KAAK,iBAAiB,IAAI;AAC/L,gBAAM,WAAe,MAAM,OAAO,KAAK,aAAa;AACpD,gBAAM,cAAkB,MAAM,OAAO,QAAQ,aAAa;AAE1D,UAAAa,OAAM,MAAM,KAAK,EAAE,GAAG,SAAS,CAAC,GAAG,KAAK,UAAU,QAAQ,YAAY,CAAC;AAAA,QACzE;AAAA,MACF;AAAA,IACF;AACA,aAAS,IAAI,GAAG,IAAIA,OAAM,MAAM,QAAQ,KAAK;AAC3C,YAAM,OAAW,KAAKA,OAAM,MAAM,CAAC,EAAE,WAAW,UAAU;AAC1D,MAAAA,OAAM,MAAM,CAAC,EAAE,MAAM,KAAK;AAC1B,MAAAA,OAAM,MAAM,CAAC,EAAE,SAAS,KAAK;AAAA,IAC/B;AACA,YAAQA,OAAM,KAAK;AAAA,EACrB,CAAC;AACH;;;ACKO,IAAM,QAAQ,CAAC,QAAuB,UAAkB,EAAE,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,MAAM,CAAC,GAAG,SAAS,CAAC,GAAG,QAAQ,CAAC,GAAG,SAAS,CAAC,GAAG,aAAa,CAAC,GAAG,WAAW,GAAG,OAAO,GAAG,QAAQ,GAAG,MAAM;;;AC3O/L;AAAA;AAAA,mBAAAC;AAAA,EAAA;AAAA,aAAAC;AAAA,EAAA;AAAA;AAAA;AAAO,IAAMA,OAAgB;AAAA;AAAA,EAC3B;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AACF;AAEO,IAAM,aAAyB;AAAA;AAAA,EACpC,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,gBAAgB,eAAe;AAAA,EAChC,CAAC,aAAa,YAAY;AAAA,EAC1B,CAAC,aAAa,YAAY;AAAA,EAC1B,CAAC,WAAW,UAAU;AAAA,EACtB,CAAC,YAAY,WAAW;AAAA,EACxB,CAAC,aAAa,YAAY;AAC5B;AAEO,IAAM,WAAuB;AAAA;AAAA,EAClC,CAAC,YAAY,cAAc;AAAA,EAC3B,CAAC,aAAa,eAAe;AAAA,EAC7B,CAAC,aAAa,UAAU;AAAA,EACxB,CAAC,cAAc,WAAW;AAC5B;AAEO,IAAM,WAAyB;AAAA;AAAA,EACpC,CAAC,CAAC,WAAW,UAAU,GAAG,CAAC,gBAAgB,eAAe,CAAC;AAAA,EAC3D,CAAC,CAAC,aAAa,YAAY,GAAG,CAAC,gBAAgB,eAAe,CAAC;AACjE;AAEO,IAAMD,aAAsC;AAAA;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,WAAW;AAAA,EAC5C,UAAU,CAAC,YAAY,aAAa,YAAY;AAAA,EAChD,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW,cAAc;AAAA,EAC9E,SAAS,CAAC,gBAAgB,aAAa,WAAW;AAAA,EAClD,UAAU,CAAC,iBAAiB,cAAc,YAAY;AAAA,EACtD,MAAM,CAAC;AACT;;;ACrCA,IAAM,iBAAyB,MAAM;AACrC,IAAI,kBAAkB;AAEf,SAASE,MAAK,WAAmBC,SAAwB;AAhBhE,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAA,IAAAC;AAiBE,QAAM,KAAK,IAAI;AACf,MAAI,CAAC;AAAW,WAAO,MAAM;AAK7B,QAAM,UAAU,KAAK,IAAI,IAAI,UAAU;AAUvC,QAAM,iBAAiB,UAAU,MAAO,IAAI,KAAK,IAAI,UAAU,CAAC,IAAI;AAEpE,MAAI,UAAU;AAAQ,mBAAe,SAAS,UAAU;AACxD,MAAI,UAAU;AAAO,mBAAe,QAAQ,UAAU;AAGtD,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAM,UAAU,KAAK,CAAC,EAAE,IAC3B,IAAI,CAAC,aAAa,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAI,CAAC,IAAI,eAAe,cAAc;AAChH,YAAM,SAAS,UAAU,KAAK,CAAC,EAAE,OAC9B,IAAI,CAAC,aAAa,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAO,CAAC,IAAI,eAAe,cAAc;AACnH,YAAM,YAAa,UAAU,KAAK,CAAC,EAAE,UAClC,IAAI,CAAC,QAAQ,MAAG;AAhDzB,YAAAnB,KAAAoB,KAAAnB,KAAAC,KAAAmB,KAAAlB,KAAAC,KAAAC,KAAAC;AAgD6B;AAAA,UACnB,OAAO,OAAO;AAAA,UACd,MAAM,OAAO;AAAA,UACb,UAAU;AAAA,YACR,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,YACtL,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,YACtL,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,SAAS,CAAC,KAAK,MAAM,OAAO,SAAS,CAAC,KAAK,MAAM,iBAAiB,OAAO,SAAS,CAAC;AAAA,UACxL;AAAA,UACA,aAAa;AAAA,YACX,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,YAC/L,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,YAC/L,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,YAAY,CAAC,KAAK,MAAM,OAAO,YAAY,CAAC,KAAK,MAAM,iBAAiB,OAAO,YAAY,CAAC;AAAA,UACjM;AAAA,UACA,UAAU;AAAA,YACR,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,QAAMN,MAAA,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,aAApC,gBAAAA,IAA+C,OAAM,QAAMoB,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBnB,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,YAC3L,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,QAAMC,MAAA,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,aAApC,gBAAAA,IAA+C,OAAM,QAAMmB,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBlB,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,YAC3L,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,MAAM,iBAAiB,QAAMC,MAAA,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,aAApC,gBAAAA,IAA+C,OAAM,QAAMC,MAAA,OAAO,aAAP,gBAAAA,IAAkB,OAAM,MAAM,kBAAiBC,MAAA,OAAO,aAAP,gBAAAA,IAAkB;AAAA,UAC7L;AAAA,QACF;AAAA,OAAE;AAEJ,YAAMgB,eAAiD,CAAC;AACxD,UAAI,SAAS,EAAE,WAAW,CAAC,EAAE;AAC7B,WAAItB,MAAAD,QAAO,KAAK,cAAZ,gBAAAC,IAAuB,SAAS;AAAkB,iBAAS;AAAA,gBACtD,KAAAD,QAAO,KAAK,cAAZ,mBAAuB,SAAS;AAAc,iBAAS;AAAA,gBACvDE,MAAAF,QAAO,KAAK,cAAZ,gBAAAE,IAAuB,SAAS;AAAY,iBAAS;AAC9D,iBAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAQ,OAAO,SAAqC,GAAG;AAC1F,cAAMsB,MAAgB,CAAC;AACvB,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAACC,QAAOA,IAAG,SAAS,QAAQ,CAAC,CAAC;AACzD,gBAAM,MAAM,UAAU,KAAK,CAACA,QAAOA,IAAG,SAAS,QAAQ,IAAI,CAAC,CAAC;AAE7D,cAAI,OAAO;AAAK,YAAAD,IAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,QACtD;AACA,QAAAD,aAAY,IAAI,IAAIC;AAAA,MACtB;AACA,qBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,WAAW,aAAAD,aAAY;AAAA,IACvF;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAO,UAAU,KAAK,CAAC,EAAE,IAC5B,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAI,CAAC,IAAI,KAAK,cAAc;AAC5F,YAAM,SAAU,UAAU,KAAK,CAAC,EAAE,OAC/B,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAO,CAAC,IAAI,KAAK,cAAc;AAC/F,UAAI,eAAe,KAAK,CAAC,EAAE,UAAU,WAAW,UAAU,KAAK,CAAC,EAAE,UAAU;AAAQ,uBAAe,KAAK,CAAC,EAAE,YAAY,UAAU,KAAK,CAAC,EAAE;AACzI,YAAM,YAAY,UAAU,KAAK,CAAC,EAAE,aAAa,UAAU,KAAK,CAAC,EAAE,UAAU,SAAS,IAAI,UAAU,KAAK,CAAC,EAAE,UACzG,IAAI,CAAC,UAAU,MAAM,SACnB,IAAI,CAAC,OAAO,QAAS,iBAAiB,MAAM,eAAe,KAAK,CAAC,EAAE,UAAU,CAAC,EAAE,CAAC,KAAK,MAAM,SAAS,MAAM,cAAe,CAAU,IACrI,CAAC;AACL,UAAIA,eAAc,CAAC;AACnB,UAAI,OAAO,KAAK,eAAe,KAAK,CAAC,EAAE,WAAW,EAAE,WAAW,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,EAAE,QAAQ;AAChH,uBAAe,KAAK,CAAC,EAAE,cAAc,UAAU,KAAK,CAAC,EAAE;AACvD,QAAAA,eAAc,eAAe,KAAK,CAAC,EAAE;AAAA,MACvC,WAAW,UAAU,KAAK,CAAC,EAAE,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,GAAG;AAC5D,UAAAA,aAAY,GAAG,MAAInB,OAAA,MAAAD,MAAA,UAAU,KAAK,CAAC,MAAhB,gBAAAA,IAAmB,gBAAnB,mBAAiC,SAAjC,gBAAAC,IAAwC,MACvD,UAAU,KAAK,CAAC,EAAE,YAAY,GAAG,EAChC,IAAI,CAAC,KAAK,MAAc,IACtB,IAAI,CAAC,OAAe,QAAgB,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,YAAY,GAAG,EAAE,CAAC,EAAE,CAAC,IAAI,SAAS,cAAc,CAAC,IACrI;AAAA,QACN;AAAA,MACF;AACA,qBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,WAAW,aAAamB,aAAyC;AAAA,IACjI;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU,IAAI,CAAC;AAAA,EACjE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,MAAO,UAAU,KAAK,CAAC,EAAE,IAC5B,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,IAAI,CAAC,IAAI,KAAK,cAAc;AAC5F,YAAM,SAAU,UAAU,KAAK,CAAC,EAAE,OAC/B,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,OAAO,CAAC,IAAI,KAAK,cAAc;AAC/F,UAAIA,eAA6C,UAAU,KAAK,CAAC,EAAE;AACnE,UAAI,OAAO,KAAK,eAAe,KAAK,CAAC,EAAE,WAAW,EAAE,WAAW,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,EAAE,QAAQ;AAChH,uBAAe,KAAK,CAAC,EAAE,cAAc,UAAU,KAAK,CAAC,EAAE;AACvD,QAAAA,eAAc,eAAe,KAAK,CAAC,EAAE;AAAA,MACvC,WAAW,UAAU,KAAK,CAAC,EAAE,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,CAAC,EAAE,WAAW,GAAG;AAC5D,UAAAA,aAAY,GAAG,MAAIhB,OAAAD,OAAAD,MAAA,UAAU,KAAK,CAAC,MAAhB,gBAAAA,IAAmB,gBAAnB,gBAAAC,IAAiC,SAAjC,gBAAAC,IAAwC,MACvD,UAAU,KAAK,CAAC,EAAE,YAAY,GAAG,EAChC,IAAI,CAAC,KAAK,MAAc,IACtB,IAAI,CAAC,OAAe,QAAgB,iBAAiB,KAAK,eAAe,KAAK,CAAC,EAAE,YAAY,GAAG,EAAE,CAAC,EAAE,CAAC,IAAI,SAAS,cAAc,CAAC,IACrI;AAAA,QACN;AAAA,MACF;AACA,UAAI,UAAU,KAAK,CAAC,EAAE,UAAU;AAC9B,cAAM,WAIF,EAAE,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,CAAC,GAAG,OAAO,EAAE,MAAM,GAAG,KAAK,GAAG,OAAO,EAAE,GAAG,MAAM,EAAE,SAAS,GAAG,UAAU,EAAE,EAAE;AACnH,iBAAS,UAASC,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B;AAC9C,iBAAS,QAAQ;AAAA,UACf,QAAQ,iBAAiB,QAAME,OAAAD,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,UAAjC,gBAAAC,IAAwC,SAAQ,QAAMC,OAAA,eAAU,KAAK,CAAC,EAAE,aAAlB,mBAA4B,UAA5B,gBAAAA,IAAmC,SAAQ,MAAM;AAAA,UACtI,OAAO,iBAAiB,QAAME,OAAAD,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,UAAjC,gBAAAC,IAAwC,QAAO,QAAME,OAAAD,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,UAA5B,gBAAAC,IAAmC,QAAO,MAAM;AAAA,UACnI,SAAS,iBAAiB,QAAM,MAAAC,MAAA,eAAe,KAAK,CAAC,EAAE,aAAvB,gBAAAA,IAAiC,UAAjC,mBAAwC,UAAS,QAAME,OAAAD,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,UAA5B,gBAAAC,IAAmC,UAAS,MAAM;AAAA,QAC3I;AACA,iBAAS,OAAO;AAAA;AAAA,UAEd,WAAW,iBAAiB,QAAM,oBAAe,KAAK,CAAC,EAAE,aAAvB,mBAAiC,KAAK,YAAW,QAAMC,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,KAAK,YAAW,MAAM;AAAA,UAC3I,YAAY,iBAAiB,QAAM,oBAAe,KAAK,CAAC,EAAE,aAAvB,mBAAiC,KAAK,aAAY,QAAMC,MAAA,UAAU,KAAK,CAAC,EAAE,aAAlB,gBAAAA,IAA4B,KAAK,aAAY,MAAM;AAAA,QAChJ;AACA,uBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,UAAU,KAAK,QAAQ,aAAAG,aAAY;AAAA,MACtF,OAAO;AACL,uBAAe,KAAK,CAAC,IAAI,EAAE,GAAG,UAAU,KAAK,CAAC,GAAG,KAAK,QAAQ,aAAAA,aAAY;AAAA,MAC5E;AAAA,IACF;AAAA,EACF;AAGA,MAAI,CAAC,eAAe,UAAW,UAAU,OAAO,WAAW,eAAe,OAAO,QAAS;AACxF,mBAAe,SAAS,KAAK,MAAM,KAAK,UAAU,UAAU,MAAM,CAAC;AAAA,EACrE,OAAO;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,OAAO,QAAQ,KAAK;AAChD,YAAM,MAAO,UAAU,OAAO,CAAC,EAAE,IAC9B,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,OAAO,CAAC,EAAE,IAAI,CAAC,IAAI,KAAK,cAAc;AAC9F,YAAM,SAAU,UAAU,OAAO,CAAC,EAAE,OACjC,IAAI,CAAC,GAAG,QAAQ,iBAAiB,KAAK,eAAe,OAAO,CAAC,EAAE,OAAO,CAAC,IAAI,KAAK,cAAc;AACjG,qBAAe,OAAO,CAAC,IAAI,EAAE,GAAG,UAAU,OAAO,CAAC,GAAG,KAAK,OAAO;AAAA,IACnE;AAAA,EACF;AAGA,MAAI,UAAU,SAAS;AACrB,UAAM,aAAa,UAAU;AAC7B,QAAI,CAAC,eAAe,WAAY,WAAW,WAAW,eAAe,QAAQ,QAAS;AACpF,qBAAe,UAAU,KAAK,MAAM,KAAK,UAAU,UAAU,CAAC;AAAA,IAChE,OAAO;AACL,eAAS,IAAI,GAAG,IAAI,WAAW,QAAQ,KAAK;AAC1C,uBAAe,QAAQ,CAAC,EAAE,MAAO,WAAW,CAAC,EAAE,IAC5C,IAAI,CAAC,KAAK,QAAQ,iBAAiB,KAAK,eAAe,QAAQ,CAAC,EAAE,IAAI,CAAC,IAAI,OAAO,cAAc;AAAA,MACrG;AAAA,IACF;AAAA,EACF;AAGA,MAAI,UAAU;AAAS,mBAAe,UAAU,UAAU;AAG1D,iBAAe,QAAQ,UAAU;AACjC,iBAAe,SAAS,UAAU;AAGlC,QAAMG,MAAK,IAAI;AACf,oBAAkB,IAAI,UAAU,kBAAkB,KAAK,MAAMA,MAAK,EAAE,IAAI,KAAK,MAAMA,MAAK,EAAE;AAC1F,MAAI,UAAU;AAAa,mBAAe,cAAc,EAAE,GAAG,UAAU,aAAa,aAAa,gBAAgB;AAEjH,SAAO;AACT;;;AC5LA,IAAIC;AAEJ,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACF,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUE,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBF,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBG,UAAQ,OAAiBD,SAAwC;AAvBvF,MAAAE;AAwBE,MAAI,CAACJ;AAAO,IAAAA,UAAQ,MAAMC,OAAKC,OAAM;AACrC,MAAI,EAACF,WAAA,gBAAAA,QAAQ,gBAAe,GAACI,MAAAJ,WAAA,gBAAAA,QAAO,WAAP,gBAAAI,IAAgB,GAAG;AAAO,WAAO;AAC9D,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAACL,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,GAAGA,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AAC7J,EAAAK,IAAE,OAAU,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACzC,EAAAA,IAAE,MAAML,QAAM,QAAQK,IAAE,IAAI;AAC5B,EAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK,CAAC,CAAC,CAAC;AAEjC,GAACA,IAAE,OAAOA,IAAE,KAAK,IAAO,GAAQA,IAAE,SAAS,CAAC;AAE5C,EAAAA,IAAE,KAAQ,GAAQA,IAAE,KAAK;AACzB,EAAAA,IAAE,MAAS,GAAIA,IAAE,IAAI,UAAU,KAAK;AACpC,EAAAA,IAAE,SAAY,GAAWA,IAAE,KAAK,CAAC;AACjC,EAAAA,IAAE,SAAY,GAAM,eAAeA,IAAE,QAAoB,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AACnG,MAAI;AACJ,UAAQH,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,MAAAG,IAAE,QAAW,GAAQ,KAAK;AAC1B,MAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,OAAOA,IAAE,MAAM,GAAG,EAAE;AAC5C,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF,KAAK;AACH,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;ACrDA;AAAA;AAAA;AAAA;AAAA;AAAA;AAWO,SAAS,SAAS,aAAyB,aAAyBC,WAAwB,EAAE,OAAO,GAAG,YAAY,GAAG,GAAG;AAE/H,MAAI,CAAC,eAAe,CAAC;AAAa,WAAO,OAAO;AAChD,MAAI,MAAM;AACV,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,OAAQ,CAACA,SAAQ,SAASA,SAAQ,UAAU,IAAM,YAAY,CAAC,IAAI,YAAY,CAAC,IAAM,KAAK,IAAI,YAAY,CAAC,IAAI,YAAY,CAAC,CAAC;AACpI,WAAQ,CAACA,SAAQ,SAASA,SAAQ,UAAU,IAAM,OAAO,OAAS,QAAQA,SAAQ;AAAA,EACpF;AACA,UAAQA,SAAQ,cAAc,MAAM;AACtC;AAGA,IAAM,oBAAoB,CAAC,MAAM,OAAO,KAAK,QAAQ;AACnD,MAAI,SAAS;AAAG,WAAO;AACvB,QAAM,OAAO,UAAU,IAAI,KAAK,KAAK,IAAI,IAAI,SAAS,IAAI;AAC1D,QAAM,QAAQ,IAAK,OAAO,MAAO,QAAQ,MAAM;AAC/C,QAAMC,SAAQ,KAAK,IAAI,KAAK,IAAI,MAAM,CAAC,GAAG,CAAC;AAC3C,SAAOA;AACT;AAaO,SAAS,WAAW,aAAyB,aAAyBD,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,KAAK,KAAK,KAAK,IAAI,GAAG;AACrJ,QAAM,OAAO,SAAS,aAAa,aAAaA,QAAO;AACvD,SAAO,kBAAkB,MAAMA,SAAQ,SAAS,GAAGA,SAAQ,OAAO,GAAGA,SAAQ,OAAO,CAAC;AACvF;AAWO,SAAS,KAAK,YAAwB,aAA2BA,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,WAAW,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG;AAC9J,MAAI,CAAC,MAAM,QAAQ,UAAU,KAAK,CAAC,MAAM,QAAQ,WAAW,KAAK,WAAW,SAAS,MAAM,YAAY,WAAW,GAAG;AACnH,WAAO,EAAE,OAAO,IAAI,UAAU,OAAO,mBAAmB,YAAY,EAAE;AAAA,EACxE;AACA,MAAI,iBAAiB,OAAO;AAC5B,MAAIE,SAAQ;AACZ,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,MAAM,YAAY,CAAC,EAAE,WAAW,WAAW,SAAS,SAAS,YAAY,YAAY,CAAC,GAAGF,QAAO,IAAI,OAAO;AACjH,QAAI,MAAM,gBAAgB;AACxB,uBAAiB;AACjB,MAAAE,SAAQ;AAAA,IACV;AACA,QAAI,kBAAkBF,SAAQ,aAAa;AAAI;AAAA,EACjD;AACA,QAAM,uBAAuB,kBAAkB,gBAAgBA,SAAQ,SAAS,GAAGA,SAAQ,OAAO,GAAGA,SAAQ,OAAO,CAAC;AACrH,SAAO,EAAE,OAAAE,QAAO,UAAU,gBAAgB,YAAY,qBAAqB;AAC7E;;;ACxEA,IAAAC,kBAAA;AAAA,SAAAA,iBAAA;AAAA;AAAA;AAAA;;;ACMA,IAAM,YAAY;AAElB,IAAMC,SAGF;AAAA,EACF,WAAW,CAAC;AAAA,EACZ,SAAS,CAAC,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC;AAC1C;AAEO,SAAS,UAAUC,OAAkB;AAC1C,aAAW,QAAe,YAAY;AACpC,UAAM,OAAOA,MAAK,UAAU,UAAU,CAACC,QAAOA,IAAG,SAAS,KAAK,CAAC,CAAC;AACjE,UAAM,QAAQD,MAAK,UAAU,UAAU,CAACC,QAAOA,IAAG,SAAS,KAAK,CAAC,CAAC;AAClE,QAAID,MAAK,UAAU,IAAI,KAAKA,MAAK,UAAU,KAAK,GAAG;AACjD,UAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,GAAG;AACxE,cAAM,MAAMA,MAAK,UAAU,IAAI;AAC/B,QAAAA,MAAK,UAAU,IAAI,IAAIA,MAAK,UAAU,KAAK;AAC3C,QAAAA,MAAK,UAAU,KAAK,IAAI;AAAA,MAC1B;AAAA,IACF;AAAA,EACF;AACA,aAAW,QAAe,UAAU;AAClC,UAAM,QAAQA,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC1E,UAAM,SAASD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC3E,QAAID,MAAK,UAAU,KAAK,KAAKA,MAAK,UAAU,MAAM,GAAG;AACnD,UAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,GAAG;AAC1E,QAAAA,MAAK,UAAU,OAAO,OAAO,CAAC;AAAA,MAChC;AAAA,IACF;AAAA,EACF;AACA,aAAW,CAAC,MAAME,QAAO,KAAY,UAAU;AAC7C,UAAM,OAAOF,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AACzE,UAAM,QAAQD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAAS,KAAK,CAAC,CAAE;AAC1E,UAAM,SAASD,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAASC,SAAQ,CAAC,CAAE;AAC9E,UAAM,UAAUF,MAAK,UAAU,UAAU,CAACC,QAAQA,OAAMA,IAAG,SAASC,SAAQ,CAAC,CAAE;AAC/E,QAAI,CAACF,MAAK,UAAU,MAAM,KAAK,CAACA,MAAK,UAAU,OAAO;AAAG;AACzD,UAAM,eAAeA,MAAK,UAAU,IAAI,IAAI;AAAA,MAC1C,KAAK,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,CAAC;AAAA,MAC9E,KAAK,IAAIA,MAAK,UAAU,OAAO,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,IAAI,EAAE,SAAS,CAAC,CAAC;AAAA,IACjF,IAAI,CAAC,GAAG,CAAC;AACT,UAAM,gBAAgBA,MAAK,UAAU,KAAK,IAAI;AAAA,MAC5C,KAAK,IAAIA,MAAK,UAAU,OAAO,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,CAAC;AAAA,MAChF,KAAK,IAAIA,MAAK,UAAU,MAAM,EAAE,SAAS,CAAC,IAAIA,MAAK,UAAU,KAAK,EAAE,SAAS,CAAC,CAAC;AAAA,IACjF,IAAI,CAAC,GAAG,CAAC;AACT,QAAI,aAAa,CAAC,IAAI,aAAa,CAAC,KAAK,cAAc,CAAC,IAAI,cAAc,CAAC,GAAG;AAC5E,YAAM,MAAMA,MAAK,UAAU,IAAI;AAC/B,MAAAA,MAAK,UAAU,IAAI,IAAIA,MAAK,UAAU,KAAK;AAC3C,MAAAA,MAAK,UAAU,KAAK,IAAI;AAAA,IAC1B;AAAA,EACF;AACF;AAEO,SAAS,OAAO,WAA2C;AAChE,WAAS,IAAI,GAAG,IAAI,UAAU,QAAQ,KAAK;AACzC,QAAI,UAAU,CAAC,KAAKD,OAAM,UAAU,CAAC,GAAG;AACtC,YAAM,OAAO,CAAC,KAAK,IAAI,UAAU,CAAC,EAAE,YAAY,CAAC,IAAIA,OAAM,UAAU,CAAC,EAAE,YAAY,CAAC,CAAC,GAAG,KAAK,IAAI,UAAU,CAAC,EAAE,YAAY,CAAC,IAAIA,OAAM,UAAU,CAAC,EAAE,YAAY,CAAC,CAAC,CAAC;AAClK,UAAI,KAAK,CAAC,IAAI,aAAa,KAAK,CAAC,IAAI,WAAW;AAC9C,kBAAU,CAAC,IAAIA,OAAM,UAAU,CAAC;AAAA,MAClC,OAAO;AACL,QAAAA,OAAM,UAAU,CAAC,IAAI,UAAU,CAAC;AAAA,MAClC;AAAA,IACF,OAAO;AACL,MAAAA,OAAM,UAAU,CAAC,IAAI,UAAU,CAAC;AAAA,IAClC;AAAA,EACF;AACA,SAAO;AACT;AAEO,SAAS,SAAS,OAAeI,aAA2B;AA3EnE,MAAAC,KAAA;AA4EE,QAAMC,MAA4B,CAAC;AACnC,MAAI,GAACD,MAAA,+BAAO,UAAP,gBAAAA,IAAe,OAAM,GAAC,oCAAO,UAAP,mBAAe;AAAI,WAAO;AACrD,EAAAL,OAAM,UAAU;AAAA,IACd,CAAC,GAAG,CAAC;AAAA;AAAA,IACL,CAAC,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,GAAG,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC;AAAA;AAAA,IACjL,CAAC,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,GAAG,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,IAAI,KAAK,OAAO,MAAM,MAAM,CAAC,IAAI,MAAM,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC;AAAA;AAAA,IACjL,CAAC,GAAG,CAAC;AAAA;AAAA,EACP;AACA,EAAAM,IAAE,MAAS,GAAI,OAAON,OAAM,OAAO;AACnC,EAAAM,IAAE,SAAY,GAAM,eAAeA,IAAE,KAAiB,CAACF,aAAWA,WAAS,CAAC;AAC5E,QAAM,QAAW,GAAKE,IAAE,QAAQ,OAAO;AACvC,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;AAEO,SAAS,YAAYL,OAAkBM,aAA0C;AACtF,EAAAN,MAAK,YAAYA,MAAK,UAAU,OAAO,CAACO,SAAQA,QAAA,gBAAAA,KAAK,QAAQ;AAC7D,aAAWA,QAAOP,MAAK,WAAW;AAChC,IAAAO,KAAI,WAAW;AAAA,MACbA,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAIP,OAAM,QAAQ,CAAC,EAAE,CAAC,IAAIA,OAAM,QAAQ,CAAC,EAAE,CAAC,KAAKO,YAAW,CAAC,IAAIP,OAAM,QAAQ,CAAC,EAAE,CAAC;AAAA,MAClHQ,KAAI,SAAS,CAAC,KAAKD,YAAW,CAAC,IAAIP,OAAM,QAAQ,CAAC,EAAE,CAAC,IAAIA,OAAM,QAAQ,CAAC,EAAE,CAAC,KAAKO,YAAW,CAAC,IAAIP,OAAM,QAAQ,CAAC,EAAE,CAAC;AAAA,IACpH;AACA,IAAAQ,KAAI,cAAc;AAAA,MAChBA,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC;AAAA,MAAGC,KAAI,SAAS,CAAC,IAAID,YAAW,CAAC;AAAA,IACjE;AAAA,EACF;AACA,QAAM,gBAAoB,KAAKN,MAAK,UAAU,IAAI,CAACQ,QAAOA,IAAG,QAAQ,GAAGF,WAAU;AAClF,EAAAN,MAAK,MAAM,cAAc;AACzB,EAAAA,MAAK,SAAS,cAAc;AAC5B,SAAOA;AACT;;;ACxFA,IAAIS;AACJ,IAAIC,aAAY;AAChB,IAAIC,YAAU,OAAO;AAGrB,IAAMC,SAIF;AAAA,EACF,OAAO,CAAC;AAAA,EACR,QAAQ,CAAC;AAAA,EACT,MAAM;AACR;AAEA,eAAsBC,OAAKC,SAAqC;AAjChE,MAAAC;AAkCE,MAAI,IAAI;AAAS,IAAAN,UAAQ;AACzB,MAAI,CAACA,SAAO;AACV,YAAQ,CAAC,MAAM,GAAGK,OAAM;AACxB,IAAAL,UAAQ,MAAM,UAAUK,QAAO,KAAK,SAAS;AAAA,EAC/C,WAAWA,QAAO;AAAO,QAAI,iBAAiBL,QAAM,UAAU,CAAC;AAC/D,EAAAC,cAAaD,WAAA,gBAAAA,QAAQ,kBAAeM,MAAAN,WAAA,gBAAAA,QAAO,WAAP,gBAAAM,IAAgB,GAAG,SAASN,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI;AAC3F,MAAIC,aAAY;AAAI,IAAAA,aAAY;AAEhC,MAAO,EAAI,EAAE,aAAa;AAA2B,IAAG,EAAI,EAAE,IAAI,6BAA6B,KAAK;AACpG,SAAOD;AACT;AAEA,SAAS,gBAAgB,KAAKK,SAAQ,OAAO;AAC3C,QAAME,OAAM,IAAI,CAAC,EAAE,CAAC;AACpB,QAAM,YAA4B,CAAC;AACnC,MAAI,QAAQ;AACZ,WAASC,MAAK,GAAGA,MAAKD,KAAI,QAAQC,OAAM;AACtC,YAAQD,KAAIC,GAAE,EAAE,CAAC;AACjB,QAAI,QAAQH,QAAO,KAAK,eAAe;AACrC,YAAM,cAAqB,CAACE,KAAIC,GAAE,EAAE,CAAC,GAAGD,KAAIC,GAAE,EAAE,CAAC,CAAC;AAClD,gBAAU,KAAK;AAAA,QACb,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,QACjC,MAAaD,KAAIC,GAAE;AAAA,QACnB;AAAA,QACA,UAAU;AAAA;AAAA,UACR,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC;AAAA,UACjD,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC;AAAA,QACnD;AAAA,MACF,CAAC;AAAA,IACH;AAAA,EACF;AACA,UAAQ,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO,CAAC;AACnF,QAAM,SAAuB,CAAC;AAC9B,QAAM,SAAa,KAAK,UAAU,IAAI,CAACC,QAAOA,IAAG,QAAQ,GAAG,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,CAAC;AAC5F,QAAMC,eAAyC,CAAC;AAChD,aAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeC,UAAS,GAAG;AAC9D,UAAMF,MAAgB,CAAC;AACvB,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAACG,QAAOA,IAAG,SAAS,QAAQ,CAAC,CAAC;AACzD,YAAM,MAAM,UAAU,KAAK,CAACA,QAAOA,IAAG,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC7D,UAAI,OAAO,OAAO,IAAI,SAASP,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,QAAAI,IAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,IACtJ;AACA,IAAAC,aAAY,IAAI,IAAID;AAAA,EACtB;AACA,QAAMI,QAAmB,EAAE,IAAI,GAAG,OAAO,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW,aAAAH,aAAY;AACxG,EAAI,UAAUG,KAAI;AAClB,SAAO,KAAKA,KAAI;AAChB,SAAO;AACT;AAEA,SAAS,eAAe,KAAKR,SAAQ,OAAO;AAC1C,QAAM,SAAuB,CAAC;AAC9B,WAASG,MAAK,GAAGA,MAAK,IAAI,CAAC,EAAE,QAAQA,OAAM;AACzC,UAAMD,OAAM,IAAI,CAAC,EAAEC,GAAE;AACrB,UAAM,WAAW,KAAK,MAAM,MAAMD,KAAI,KAAK,CAAC,CAAC,IAAI;AACjD,QAAI,WAAWF,QAAO,KAAK,eAAe;AACxC,YAAM,YAA4B,CAAC;AACnC,eAAS,IAAI,GAAG,IAAI,IAAI,KAAK;AAC3B,cAAM,QAAQE,KAAI,IAAI,IAAI,CAAC;AAC3B,YAAI,QAAQF,QAAO,KAAK,eAAe;AACrC,gBAAM,cAAqB,CAACE,KAAI,IAAI,IAAI,CAAC,GAAGA,KAAI,IAAI,IAAI,CAAC,CAAC;AAC1D,oBAAU,KAAK;AAAA,YACb,MAAaA,KAAI,CAAC;AAAA,YAClB,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,YACjC;AAAA,YACA,UAAU,CAAC,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC,GAAG,KAAK,OAAO,MAAM,MAAM,CAAC,KAAK,KAAK,YAAY,CAAC,CAAC,CAAC;AAAA,UACnH,CAAC;AAAA,QACH;AAAA,MACF;AAGA,YAAM,SAAc,CAACA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,IAAIA,KAAI,KAAK,CAAC,GAAGA,KAAI,KAAK,CAAC,IAAIA,KAAI,KAAK,CAAC,CAAC;AACnG,YAAM,UAAe,CAAC,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,GAAG,KAAK,MAAM,OAAO,CAAC,KAAK,MAAM,MAAM,CAAC,KAAK,EAAE,CAAC;AAChN,YAAMG,eAAiD,CAAC;AACxD,iBAAW,CAAC,MAAM,OAAO,KAAK,OAAO,QAAeC,UAAS,GAAG;AAC9D,cAAMF,MAAgB,CAAC;AACvB,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAACG,QAAOA,IAAG,SAAS,QAAQ,CAAC,CAAC;AACzD,gBAAM,MAAM,UAAU,KAAK,CAACA,QAAOA,IAAG,SAAS,QAAQ,IAAI,CAAC,CAAC;AAC7D,cAAI,OAAO,OAAO,IAAI,SAASP,QAAO,KAAK,iBAAiB,MAAM,IAAI,SAASA,QAAO,KAAK,iBAAiB;AAAI,YAAAI,IAAG,KAAK,CAAC,IAAI,UAAU,IAAI,QAAQ,CAAC;AAAA,QACtJ;AACA,QAAAC,aAAY,IAAI,IAAID;AAAA,MACtB;AAEA,YAAMI,QAAmB,EAAE,IAAAL,KAAI,OAAO,UAAU,KAAK,SAAS,QAAQ,WAAW,CAAC,GAAG,SAAS,GAAG,aAAAE,aAAY;AAC7G,MAAI,UAAUG,KAAI;AAClB,aAAO,KAAKA,KAAI;AAAA,IAClB;AAAA,EACF;AACA,SAAO,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE,KAAK;AACvC,MAAI,OAAO,SAASR,QAAO,KAAK;AAAa,WAAO,SAASA,QAAO,KAAK;AACzE,SAAO;AACT;AAEA,eAAsBS,UAAQ,OAAeT,SAAuC;AAhIpF,MAAAC;AAiIE,MAAI,EAACN,WAAA,gBAAAA,QAAQ,gBAAe,GAACM,MAAAN,WAAA,gBAAAA,QAAO,WAAP,gBAAAM,IAAgB,GAAG;AAAO,WAAO,CAAC;AAC/D,MAAI,CAACD,QAAO;AAAa,IAAAF,OAAM,MAAM,SAAS;AAC9C,EAAAD;AACA,QAAM,YAAYG,QAAO,KAAK,YAAY,KAAM,IAAI,IAAIF,OAAM;AAC9D,QAAM,YAAYD,aAAWG,QAAO,KAAK,cAAc;AACvD,MAAIA,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAOF,OAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMY,MAA4B,CAAC;AACnC,IAAAb,YAAU;AAEV,IAAAa,IAAE,QAAY,SAAS,OAAOd,UAAS;AACvC,IAAAc,IAAE,MAAMf,WAAA,gBAAAA,QAAO,QAAQe,IAAE;AACzB,IAAAZ,OAAM,OAAO,IAAI;AACjB,UAAM,MAAM,MAAMY,IAAE,IAAI,MAAM;AAC9B,IAAAZ,OAAM,SAAUY,IAAE,IAAI,MAAM,CAAC,MAAM,KAC/B,gBAAgB,KAAKV,SAAQ,KAAK,IAClC,eAAe,KAAKA,SAAQ,KAAK;AACrC,eAAWQ,SAAQV,OAAM,QAAQ;AAC/B,MAAI,YAAYU,OAAM,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AAChE,MAAI,OAAOA,MAAK,SAAS;AAAA,IAC3B;AACA,WAAO,KAAKE,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AAExD,YAAQZ,OAAM,MAAM;AAAA,EACtB,CAAC;AACH;;;AC5IA,IAAIa;AACJ,IAAIC,SAAuB,CAAC;AAC5B,IAAIC,aAAW;AACf,IAAIC,YAAU,OAAO;AACrB,IAAIC,aAAY;AAEhB,IAAM,WAAW;AAEjB,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACN,WAAS,IAAI,SAAS;AACzB,IAAAA,UAAQ,MAAM,UAAUM,QAAO,OAAO,SAAS;AAC/C,UAAM,UAASN,WAAA,gBAAAA,QAAQ,eAAc,OAAO,OAAOA,QAAM,eAAe,QAAQ,CAAC,IAAI;AAErF,IAAAI,aAAY,MAAM,QAAQ,MAAM,IAAI,SAAS,OAAO,CAAC,EAAE,YAAY,IAAI,CAAC,EAAE,IAAI,IAAI;AAAA,EACpF,WAAWE,QAAO;AAAO,QAAI,iBAAiBN,QAAM,UAAU,CAAC;AAC/D,SAAOA;AACT;AAEA,eAAeO,SAAQ,KAAe,aAA+BD,SAAgB;AAlCrF,MAAAE,KAAA;AAmCE,MAAIC,MAAK;AACT,MAAI,UAA0B,CAAC;AAC/B,QAAMC,QAAON;AACb,aAAW,cAAc,CAAC,GAAG,GAAG,CAAC,GAAG;AAElC,UAAM,WAAW,aAAa;AAE9B,UAAM,UAAa,GAAQ,IAAI,KAAK,CAAC,MAAO,EAAE,MAAM,CAAC,MAAO,YAAY,MAAO,EAAE,MAAM,CAAC,KAAK,OAAOO,QAAO,MAAO,CAAa;AAC/H,UAAM,SAAS,MAAM,QAAQ,MAAM;AACnC,UAAM,YAAe,GAAQ,IAAI,KAAK,CAAC,MAAO,EAAE,MAAM,CAAC,MAAO,YAAY,MAAO,EAAE,MAAM,CAAC,KAAK,KAAKA,QAAO,MAAO,CAAa;AAC/H,UAAM,YAAe,EAAQ,WAAW,CAAC,IAAI,MAAIH,MAAA,UAAU,UAAV,gBAAAA,IAAkB,OAAM,KAAK,CAAC,CAAC;AAChF,UAAM,UAAa,GAAO,WAAW,CAAC;AACtC,UAAM,SAAS,MAAM,QAAQ,MAAM;AACnC,aAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,CAAC,GAAG,KAAK;AACzC,eAAS,IAAI,GAAG,OAAK,aAAQ,UAAR,mBAAgB,OAAM,IAAI,KAAK;AAClD,cAAM,QAAQ,OAAO,CAAC,EAAE,CAAC;AACzB,YAAI,SAASF,QAAO,OAAO,iBAAiB,MAAM,MAAM,IAAI;AAC1D,gBAAMM,OAAM,MAAM,KAAK,MAAM,IAAI,QAAQ,KAAK;AAC9C,gBAAMC,OAAM,MAAM,KAAK,MAAM,IAAI,QAAQ,KAAK;AAC9C,gBAAM,YAAY,OAAO,CAAC,EAAE,IAAI,CAAC,MAAc,KAAK,WAAW,aAAcH,MAAM;AACnF,gBAAM,CAAC,GAAGI,EAAC,IAAI;AAAA,YACbF,MAAM,WAAW,aAAa,UAAU,CAAC;AAAA,YACzCC,MAAM,WAAW,aAAa,UAAU,CAAC;AAAA,UAC3C;AACA,gBAAM,CAAC,GAAG,CAAC,IAAI;AAAA,YACbD,MAAM,WAAW,aAAa,UAAU,CAAC,IAAK;AAAA,YAC9CC,MAAM,WAAW,aAAa,UAAU,CAAC,IAAKC;AAAA,UAChD;AACA,cAAI,SAAc,CAAC,GAAGA,IAAG,GAAG,CAAC;AAC7B,mBAAS,OAAO,IAAI,CAAC,MAAM,KAAK,IAAI,GAAG,KAAK,IAAI,GAAG,CAAC,CAAC,CAAC;AACtD,gBAAM,MAAM;AAAA;AAAA,YACV,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,YACzB,OAAO,CAAC,IAAI,YAAY,CAAC;AAAA,UAC3B;AACA,gBAAM,SAAS;AAAA,YACb,IAAIL;AAAA;AAAA,YAEJ,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI;AAAA,YACjC,OAAO,IAAI;AAAA,YACX,OAAOE,QAAO,CAAC,EAAE;AAAA;AAAA;AAAA,YAGjB,KAAK,IAAI,IAAI,CAAC,MAAM,KAAK,MAAM,CAAC,CAAC;AAAA,YACjC;AAAA,UACF;AACA,kBAAQ,KAAK,MAAM;AAAA,QACrB;AAAA,MACF;AAAA,IACF;AACA,IAAG,GAAQ,CAAC,SAAS,WAAW,WAAW,OAAO,CAAC;AAAA,EACrD;AAIA,QAAM,WAAW,QAAQ,IAAI,CAAC,MAAM,CAAC,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,GAAG,EAAE,OAAO,CAAC,CAAC,CAAC;AACxF,QAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,EAAE,KAAK;AAC5C,MAAI,SAAmB,CAAC;AACxB,MAAI,YAAY,SAAS,SAAS,GAAG;AACnC,UAAM,MAAM,MAAS,GAAM,uBAAuB,UAAU,WAAWL,QAAO,OAAO,eAAe,GAAGA,QAAO,OAAO,cAAcA,QAAO,OAAO,aAAa;AAC9J,aAAS,MAAM,KAAK,MAAM,IAAI,KAAK,CAAC;AACpC,IAAG,GAAQ,GAAG;AAAA,EAChB;AAGA,YAAU,QACP,OAAO,CAAC,MAAM,QAAQ,OAAO,SAAS,GAAG,CAAC,EAC1C,KAAK,CAAC,GAAG,MAAO,EAAE,QAAQ,EAAE,KAAM;AAErC,SAAO;AACT;AAEA,eAAsBS,UAAQ,OAAiBT,SAAyC;AACtF,MAAI,EAACN,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,YAAYM,QAAO,OAAO,YAAY,KAAM,IAAI,IAAIJ;AAC1D,QAAM,YAAYC,aAAWG,QAAO,OAAO,cAAc;AACzD,MAAIA,QAAO,eAAe,YAAY,aAAcL,OAAK,SAAS,GAAI;AACpE,IAAAE;AACA,WAAOF;AAAA,EACT;AACA,EAAAE,YAAU;AACV,MAAI,CAAC,IAAI,QAAQ,SAAS,KAAK,KAAK,CAAC,IAAI,QAAQ,SAAS,eAAe;AAAG,WAAOF;AACnF,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAMe,cAAa,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC;AAC5D,UAAM,UAAa,GAAM,eAAe,OAAO,CAACZ,YAAWA,UAAS,GAAG,KAAK;AAC5E,UAAM,QAAW,GAAI,SAAS,UAAU,KAAK;AAC7C,UAAM,aAAgB,GAAU,OAAO,CAAC,GAAG,GAAG,GAAG,CAAC,CAAC;AAEnD,QAAI;AACJ,QAAIE,QAAO,OAAO;AAAS,gBAAUN,QAAM,QAAQ,UAAU;AAC7D,IAAAE,aAAW,IAAI;AAEf,UAAM,MAAM,MAAMK,SAAQ,SAAqBS,aAAgCV,OAAM;AACrF,IAAAL,SAAO;AACP,IAAG,GAAQ,CAAC,SAAS,OAAO,YAAY,GAAG,OAAO,CAAC;AACnD,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC9HO,IAAM,YAAY;AAAA,EACvB;AAAA,EAAQ;AAAA,EAAW;AAAA,EAAY;AAAA,EAAW;AAAA,EAAY;AAAA,EACtD;AAAA,EAAiB;AAAA,EAAa;AAAA,EAAc;AAAA,EAAa;AAAA,EACzD;AAAA,EAAW;AAAA,EAAY;AAAA,EAAY;AAAA,EAAa;AAAA,EAAa;AAC/D;AAEO,IAAM,QAAQ,UAAU;AAExB,IAAM,UAAU,UAAU,OAAO,CAAC,QAAQ,WAAW,MAAM;AAChE,SAAO,SAAS,IAAI;AACpB,SAAO;AACT,GAAG,CAAC,CAAC;AAEL,IAAM,qBAAqB;AAAA,EACzB,CAAC,WAAW,cAAc;AAAA,EAAG,CAAC,aAAa,cAAc;AAAA,EACzD,CAAC,aAAa,WAAW;AAAA,EAAG,CAAC,WAAW,UAAU;AAAA,EAClD,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,YAAY,eAAe;AAAA,EACvD,CAAC,cAAc,eAAe;AAAA,EAAG,CAAC,cAAc,YAAY;AAAA,EAC5D,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,aAAa,YAAY;AAAA,EACrD,CAAC,gBAAgB,eAAe;AAAA,EAAG,CAAC,WAAW,UAAU;AAC3D;AACO,IAAM,uBAAuB,mBAAmB,IAAI,CAAC,CAAC,YAAY,UAAU,MAAO,CAAC,QAAQ,UAAU,GAAG,QAAQ,UAAU,CAAC,CAAE;AAE9H,IAAM,YAAY;AAAA,EACvB,CAAC,QAAQ,SAAS;AAAA,EAAG,CAAC,WAAW,SAAS;AAAA,EAAG,CAAC,QAAQ,UAAU;AAAA,EAChE,CAAC,YAAY,UAAU;AAAA,EAAG,CAAC,QAAQ,cAAc;AAAA,EACjD,CAAC,gBAAgB,WAAW;AAAA,EAAG,CAAC,aAAa,WAAW;AAAA,EACxD,CAAC,gBAAgB,SAAS;AAAA,EAAG,CAAC,WAAW,UAAU;AAAA,EACnD,CAAC,YAAY,WAAW;AAAA,EAAG,CAAC,QAAQ,eAAe;AAAA,EACnD,CAAC,iBAAiB,YAAY;AAAA,EAAG,CAAC,cAAc,YAAY;AAAA,EAC5D,CAAC,iBAAiB,UAAU;AAAA,EAAG,CAAC,YAAY,WAAW;AAAA,EACvD,CAAC,aAAa,YAAY;AAC5B;AAgBO,SAAS,eAAe,WAA6C;AAC1E,QAAM,QAAQ,UAAU,OAAO,CAAC,EAAE,MAAM,MAAM,MAAM,KAAK,GAAG,EAAE,UAAU,EAAE,GAAG,GAAAgB,GAAE,EAAE,OAAO;AAAA,IACtF,MAAM,KAAK,IAAI,MAAM,CAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAMA,EAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAM,CAAC;AAAA,IACtB,MAAM,KAAK,IAAI,MAAMA,EAAC;AAAA,EACxB,IAAI;AAAA,IACF,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,EACf,CAAC;AACD,SAAO,CAAC,MAAM,MAAM,MAAM,MAAM,MAAM,OAAO,MAAM,MAAM,MAAM,OAAO,MAAM,IAAI;AAClF;AAEO,SAAS,WAAW,OAAO,CAAC,QAAQ,KAAK,GAAG,CAAC,uBAAuB,oBAAoB,GAAiB;AAC9G,QAAM,SAAS,SAAS;AACxB,QAAM,SAAS,QAAQ;AACvB,QAAM,YAAY,CAAC,MAAM,OAAmB;AAAA,IAC1C,IAAI;AAAA,IACJ,OAAO,KAAK;AAAA,IACZ,QAAQ,CAAC,KAAK,IAAI,CAAC,IAAI,sBAAsB,KAAK,IAAI,CAAC,IAAI,uBAAuB,KAAK,IAAI,CAAC,IAAI,sBAAsB,KAAK,IAAI,CAAC,IAAI,qBAAqB;AAAA,IACzJ,KAAK,CAAC,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,GAAG,KAAK,MAAM,KAAK,IAAI,CAAC,IAAI,MAAM,CAAC;AAAA,IAC5I,WAAW,KAAK,UAAU,IAAI,CAAC,EAAE,OAAO,MAAM,SAAS,OAAO;AAAA,MAC5D;AAAA,MACA;AAAA,MACA,UAAU,CAAC,KAAK,MAAM,SAAS,IAAI,MAAM,GAAG,KAAK,MAAM,SAAS,IAAI,MAAM,CAAC;AAAA,MAC3E,aAAa,CAAC,SAAS,IAAI,uBAAuB,SAAS,IAAI,qBAAqB;AAAA,IACtF,EAAE;AAAA,IACF,aAAa,CAAC;AAAA,EAChB;AACA,QAAM,cAAc,MAAM,IAAI,CAAC,MAAM,MAAM,UAAU,MAAM,CAAC,CAAC;AAC7D,SAAO;AACT;AAGO,IAAM,UAAN,MAAc;AAAA;AAAA,EAKnB,YAAYC,UAAS,iBAAiB;AAJtC;AACA;AAAA;AACA;AAGE,SAAK,gBAAgB,IAAI,MAAMA,QAAO;AACtC,SAAK,mBAAmB;AACxB,SAAK,kBAAkB;AAAA,EACzB;AAAA,EAEA,QAAQ,GAAG;AACT,SAAK,cAAc,EAAE,KAAK,gBAAgB,IAAI;AAC9C,SAAK,KAAK,KAAK,gBAAgB;AAAA,EACjC;AAAA,EAEA,UAAU;AACR,UAAM,MAAM,KAAK,cAAc,CAAC;AAChC,SAAK,SAAS,GAAG,KAAK,kBAAkB;AACxC,SAAK,KAAK,CAAC;AACX,SAAK,cAAc,KAAK,mBAAmB,CAAC,IAAI;AAChD,WAAO;AAAA,EACT;AAAA,EAEA,QAAQ;AAAE,WAAO,KAAK,qBAAqB;AAAA,EAAI;AAAA,EAE/C,OAAO;AAAE,WAAO,KAAK,mBAAmB;AAAA,EAAG;AAAA,EAE3C,MAAM;AAAE,WAAO,KAAK,cAAc,MAAM,GAAG,KAAK,mBAAmB,CAAC;AAAA,EAAG;AAAA,EAEvE,MAAM;AAAE,WAAO,KAAK,cAAc,CAAC;AAAA,EAAG;AAAA,EAEtC,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,KAAK,KAAK,MAAM,IAAI,CAAC,GAAG,CAAC,GAAG;AAC/C,WAAK,SAAS,GAAG,KAAK,MAAM,IAAI,CAAC,CAAC;AAClC,UAAI,KAAK,MAAM,IAAI,CAAC;AAAA,IACtB;AAAA,EACF;AAAA,EAEA,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,kBAAkB;AACrC,UAAI,IAAI,IAAI;AACZ,UAAI,IAAI,KAAK,oBAAoB,KAAK,KAAK,GAAG,IAAI,CAAC;AAAG;AACtD,UAAI,CAAC,KAAK,KAAK,GAAG,CAAC;AAAG;AACtB,WAAK,SAAS,GAAG,CAAC;AAClB,UAAI;AAAA,IACN;AAAA,EACF;AAAA,EAEA,WAAW,GAAG;AAEZ,WAAO,KAAK,gBAAgB,KAAK,cAAc,CAAC,CAAC;AAAA,EACnD;AAAA,EAEA,KAAK,GAAG,GAAG;AACT,WAAO,KAAK,WAAW,CAAC,IAAI,KAAK,WAAW,CAAC;AAAA,EAC/C;AAAA,EAEA,SAAS,GAAG,GAAG;AACb,UAAMC,MAAI,KAAK,cAAc,CAAC;AAC9B,SAAK,cAAc,CAAC,IAAI,KAAK,cAAc,CAAC;AAC5C,SAAK,cAAc,CAAC,IAAIA;AAAA,EAC1B;AACF;AAEO,SAAS,eAAeF,IAAG,GAAG,UAAkB,SAAS;AAC9D,SAAO;AAAA,IACL,GAAG,QAAQ,IAAIA,IAAG,GAAG,QAAQ;AAAA,IAC7B,GAAG,QAAQ,IAAIA,IAAG,GAAG,WAAW,KAAK;AAAA,EACvC;AACF;AAEO,SAAS,eAAe,MAAMG,eAAsB,SAAS;AAClE,QAAM,EAAE,UAAU,UAAU,IAAI,SAAS,IAAI;AAC7C,QAAM,EAAE,GAAAH,IAAG,EAAE,IAAI,eAAe,UAAU,UAAU,UAAU,OAAO;AACrE,SAAO;AAAA,IACL,GAAG,KAAK,WAAWG,gBAAe;AAAA,IAClC,GAAG,KAAK,WAAWA,gBAAeH;AAAA,EACpC;AACF;AAUO,SAAS,MAAM,GAAG,KAAK,KAAK;AACjC,MAAI,IAAI;AAAK,WAAO;AACpB,MAAI,IAAI;AAAK,WAAO;AACpB,SAAO;AACT;AAEO,SAAS,gBAAgBI,KAAIC,KAAIC,KAAIC,KAAI;AAC9C,QAAM,KAAKD,MAAKF;AAChB,QAAMI,MAAKD,MAAKF;AAChB,SAAO,KAAK,KAAKG,MAAKA;AACxB;AAEO,SAAS,WAAW,GAA6B,GAA6B;AACnF,SAAO,EAAE,GAAG,EAAE,IAAI,EAAE,GAAG,GAAG,EAAE,IAAI,EAAE,EAAE;AACtC;;;ACnLA,IAAIC;AACJ,IAAM,iBAAiB;AAAA,EAAC;AAAA,EAA6C;AAAA,EAAoD;AAAA,EAA+D;AAAA;AAA6D;AACrP,IAAM,qBAAqB;AAC3B,IAAM,eAAe;AACrB,IAAM,mBAAmB,MAAM;AAE/B,SAAS,SAAS,QAAgB,gBAAgB,UAAU,QAAQ,SAAS,eAAe,mBAAmB,GAAG;AAChH,QAAM,kBAAkB,CAACC,YAAW;AAAA,IAClC,GAAG,cAAc,IAAIA,OAAM,GAAGA,OAAM,GAAG,MAAM;AAAA,IAC7C,GAAG,cAAc,IAAIA,OAAM,GAAGA,OAAM,GAAI,cAAc,MAAM,CAAC,IAAI,IAAK,MAAM;AAAA,EAC9E;AACA,QAAM,2BAA2B,CAACA,QAAOC,SAAQC,YAAW;AAAA,IAC1D,GAAS,MAAM,KAAK,MAAMF,OAAM,IAAI,YAAY,GAAG,GAAGC,UAAS,CAAC;AAAA,IAChE,GAAS,MAAM,KAAK,MAAMD,OAAM,IAAI,YAAY,GAAG,GAAGE,SAAQ,CAAC;AAAA,EACjE;AAEA,QAAM,CAAC,QAAQ,KAAK,IAAI,OAAO;AAE/B,QAAM,wBAAwB,yBAAyB,eAAe,UAAU,QAAQ,KAAK;AAC7F,QAAM,eAAe,gBAAgB,qBAAqB;AAC1D,QAAM,iBAAuB,WAAW,eAAe,UAAU,YAAY;AAC7E,MAAI,iBAAiB;AACrB,WAAS,IAAI,GAAG,IAAI,kBAAkB,KAAK;AACzC,UAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ,KAAK;AACpF,UAAM,cAAoB,eAAe,sBAAsB,GAAG,sBAAsB,GAAG,UAAU,OAAO;AAC5G,qBAAuB;AAAA,MACrB,EAAE,GAAG,sBAAsB,IAAI,cAAc,GAAG,sBAAsB,IAAI,aAAa;AAAA,MACvF,EAAE,GAAG,YAAY,GAAG,GAAG,YAAY,EAAE;AAAA,IACvC;AAAA,EACF;AACA,QAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ,KAAK;AACpF,QAAM,QAAQ,OAAO,IAAI,sBAAsB,GAAG,sBAAsB,GAAG,QAAQ;AACnF,SAAO,EAAE,UAAU,gBAAgB,MAAY,UAAU,QAAQ,GAAG,MAAM;AAC5E;AAEO,SAAS,WAAW,MAAM,QAAQ,SAAS,kBAAkB,kBAAkB;AACpF,QAAM,SAAe,UAAU,IAAI,CAAC,CAAC,gBAAgB,aAAa,MAAO,CAAO,QAAQ,cAAc,GAAS,QAAQ,aAAa,CAAC,CAAE;AACvI,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,EAAE,YAAY,MAAM,YAAY;AAC9D,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,aAAa,MAAM,aAAa;AAC9D,QAAM,WAAW,OAAO,MAAM,CAAC;AAC/B,QAAM,WAAW,SAAS;AAC1B,QAAM,YAAY,IAAI,MAAM,QAAQ;AAEpC,QAAM,YAAkB,eAAe,KAAK,MAAM,cAAc,OAAO;AACvE,YAAU,KAAK,KAAK,EAAE,IAAI;AAAA,IACxB,OAAO,KAAK;AAAA,IACZ,MAAY,UAAU,KAAK,KAAK,EAAE;AAAA,IAClC,UAAU;AAAA,EACZ;AAEA,WAAS,OAAO,WAAW,GAAG,QAAQ,GAAG,EAAE,MAAM;AAC/C,UAAM,WAAW,SAAS,IAAI;AAC9B,UAAM,WAAW,SAAS,IAAI;AAC9B,QAAI,UAAU,QAAQ,KAAK,CAAC,UAAU,QAAQ,GAAG;AAC/C,gBAAU,QAAQ,IAAI,SAAS,MAAM,UAAU,QAAQ,GAAG,UAAU,QAAQ,SAAS,gBAAgB;AAAA,IACvG;AAAA,EACF;AAEA,WAAS,OAAO,GAAG,OAAO,UAAU,EAAE,MAAM;AAC1C,UAAM,WAAW,SAAS,IAAI;AAC9B,UAAM,WAAW,SAAS,IAAI;AAC9B,QAAI,UAAU,QAAQ,KAAK,CAAC,UAAU,QAAQ,GAAG;AAC/C,gBAAU,QAAQ,IAAI,SAAS,MAAM,UAAU,QAAQ,GAAG,UAAU,QAAQ,SAAS,gBAAgB;AAAA,IACvG;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,4BAA4B,YAAY,OAAe,UAAkB,UAAkB,QAAQ;AAC1G,QAAM,CAAC,QAAQ,KAAK,IAAsB,OAAO;AACjD,MAAI,eAAe;AACnB,QAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB,CAAC;AACxD,QAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG,MAAM;AAC/D,WAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB,CAAC;AACxD,UAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG,KAAK;AAC9D,aAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAI,OAAO,IAAI,UAAU,UAAU,UAAU,IAAI,OAAO;AACtD,uBAAe;AACf;AAAA,MACF;AAAA,IACF;AACA,QAAI,CAAC;AAAc;AAAA,EACrB;AACA,SAAO;AACT;AAEO,SAAS,wBAAwBC,gBAAe,QAAQ;AAC7D,QAAM,CAAC,QAAQ,OAAO,YAAY,IAAI,OAAO;AAC7C,QAAM,QAAQ,IAAU,QAAQ,SAAS,QAAQ,cAAc,CAAC,EAAE,MAAM,MAAM,KAAK;AACnF,WAAS,WAAW,GAAG,WAAW,QAAQ,EAAE,UAAU;AACpD,aAAS,WAAW,GAAG,WAAW,OAAO,EAAE,UAAU;AACnD,eAAS,aAAa,GAAG,aAAa,cAAc,EAAE,YAAY;AAChE,cAAM,QAAQ,OAAO,IAAI,UAAU,UAAU,UAAU;AAEvD,YAAI,QAAQA;AAAe;AAE3B,YAAI,4BAA4B,YAAY,OAAO,UAAU,UAAU,MAAM;AAAG,gBAAM,QAAQ,EAAE,OAAO,MAAM,EAAE,UAAU,UAAU,IAAI,WAAW,EAAE,CAAC;AAAA,MACvJ;AAAA,IACF;AAAA,EACF;AACA,SAAO;AACT;AAEA,SAAS,aAAa,OAAO,EAAE,GAAG,GAAAC,GAAE,GAAG,YAAY;AACjD,SAAO,MAAM,KAAK,CAAC,EAAE,UAAU,MAAM;AAxHvC,QAAAC;AAyHI,UAAM,yBAAwBA,MAAA,UAAU,UAAU,MAApB,gBAAAA,IAAuB;AACrD,QAAI,CAAC;AAAuB,aAAO;AACnC,WAAa,gBAAgBD,IAAG,GAAG,sBAAsB,GAAG,sBAAsB,CAAC,KAAK;AAAA,EAC1F,CAAC;AACH;AAEA,SAAS,iBAAiB,eAAe,WAAW;AAClD,QAAM,8BAA8B,UAAU,OAAO,CAAC,QAAQ,EAAE,UAAU,MAAM,GAAG,eAAe;AAChG,QAAI,CAAC,aAAa,eAAe,UAAU,UAAU;AAAG,gBAAU;AAClE,WAAO;AAAA,EACT,GAAG,CAAG;AACN,SAAO,8BAA8B,UAAU;AACjD;AAEO,SAAS,OAAO,SAAS,QAAQ,kBAAkB,kBAAkB,aAAaD,gBAAe;AACtG,QAAM,QAAkD,CAAC;AACzD,QAAM,QAAQ,wBAAwBA,gBAAe,MAAM;AAE3D,SAAO,MAAM,SAAS,eAAe,CAAC,MAAM,MAAM,GAAG;AAEnD,UAAM,OAAO,MAAM,QAAQ;AAG3B,UAAM,kBAAwB,eAAe,KAAK,MAAM,cAAc,OAAO;AAE7E,QAAI,aAAa,OAAO,iBAAiB,KAAK,KAAK,EAAE;AAAG;AAExD,QAAI,YAAY,WAAW,MAAM,QAAQ,SAAS,kBAAkB,gBAAgB;AACpF,gBAAY,UAAU,OAAO,CAAC,MAAM,EAAE,QAAQA,cAAa;AAC3D,UAAM,QAAQ,iBAAiB,OAAO,SAAS;AAC/C,UAAM,MAAY,eAAe,SAAS;AAC1C,QAAI,QAAQA;AAAe,YAAM,KAAK,EAAE,WAAW,KAAK,OAAO,KAAK,MAAM,MAAM,KAAK,IAAI,IAAI,CAAC;AAAA,EAChG;AACA,SAAO;AACT;AAEA,eAAsBG,UAAQ,OAAiBC,SAAuC;AAIpF,MAAI,EAACR,WAAA,gBAAAA,QAAQ;AAAa,WAAO,CAAC;AAClC,QAAM,MAAS,GAAK,MAAM;AACxB,QAAI,CAACA,QAAM,OAAO,CAAC,EAAE;AAAO,aAAO,CAAC;AACpC,UAAM,UAAa,GAAM,eAAe,OAAO,CAACA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AACnG,UAAM,aAAgB,GAAO,GAAO,GAAK,SAAS,SAAS,GAAG,KAAK,GAAG,CAAG;AACzE,UAAM,UAAoBA,QAAM,QAAQ,YAAY,cAAc;AAClE,UAAM,YAAY,QAAQ,IAAI,CAACK,OAAS,GAAQA,IAAG,CAAC,CAAC,CAAC,CAAC;AACvD,cAAU,CAAC,IAAO,GAAQ,UAAU,CAAC,CAAC;AACtC,WAAO;AAAA,EACT,CAAC;AAED,QAAM,UAAU,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,WAAmB,OAAO,OAAO,CAAC,CAAC;AAC9E,aAAWI,OAAK;AAAK,IAAG,GAAQA,GAAC;AAEjC,QAAM,UAAU,OAAO,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAG,QAAQ,CAAC,GAAGD,QAAO,KAAK,aAAaA,QAAO,KAAK,aAAa;AACzH,MAAI,CAACR,QAAM,OAAO,CAAC,EAAE;AAAO,WAAO,CAAC;AACpC,QAAM,SAAe,WAAW,SAAS,CAAC,MAAM,MAAM,CAAC,GAAG,MAAM,MAAM,CAAC,CAAC,GAAG,CAACA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,GAAGA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC;AAC/H,SAAO;AACT;AAEA,eAAsBU,OAAKF,SAAqC;AAC9D,MAAI,CAACR,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUQ,QAAO,KAAK,SAAS;AAAA,WAC/DA,QAAO;AAAO,QAAI,iBAAiBR,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;;;AC1KA,IAAIW;AAGJ,IAAMC,eAAc,CAAC,OAAO,OAAO,OAAO,OAAO,OAAO,KAAK;AAC7D,IAAM,IAA4B,CAAC;AACnC,IAAI,QAAQ;AAEZ,SAASC,MAAKC,SAAgB;AAC5B,EAAG,GAAQ,CAAC,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,gBAAgB,CAAC;AAC3D,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,IAAE,MAAS,GAAO,CAAG;AACrB,UAAQA,QAAO,aAAa,SAAS;AACrC,IAAE,mBAAsB,GAAO,KAAK;AACtC;AAEA,eAAsBC,OAAKD,SAAqC;AAC9D,MAAI,CAACH,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUG,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBH,QAAM,UAAU,CAAC;AAC7D,EAAAE,MAAKC,OAAM;AACX,SAAOH;AACT;AAEA,IAAM,YAAY,CAAC,MAAyB,GAAK,MAAM;AACrD,QAAM,UAAa,GAAQ,GAAI,CAAC,CAAC,CAAE;AACnC,QAAM,MAAS,GAAI,SAAS,UAAU,KAAK;AAC3C,QAAM,OAAU,GAAK,KAAK,OAAO;AACjC,SAAO;AACT,CAAC;AAED,SAAS,QAAQ,KAAoB,KAA4B;AAC/D,QAAMK,OAAM,MACR,UAAU,GAAG,IACV,GAAK,CAAC,IAAK,MAAM,CAAC,KAAK,GAAG,IAAK,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACrE,QAAM,IAAI,MACN,UAAU,GAAG,IACV,GAAK,CAAC,IAAK,MAAM,CAAC,KAAK,GAAG,IAAK,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACrE,QAAM,OAAU,GAAO,CAACA,MAAK,CAAC,GAAG,EAAE;AACnC,EAAG,GAAQ,CAACA,MAAK,CAAC,CAAC;AACnB,SAAO;AACT;AAEA,SAAS,SAAS,OAAuB;AACvC,SAAU,GAAK,MAAM;AACnB,UAAM,IAAuC,CAAC;AAC9C,MAAE,UAAa,GAAQ,OAAO,EAAE;AAChC,MAAE,SAAY,GAAO,EAAE,SAAS,CAAC;AACjC,MAAE,QAAW,GAAM,EAAE,QAAQ,GAAG,CAAC;AACjC,MAAE,QAAW,GAAO,EAAE,OAAO,CAAC;AAC9B,MAAE,UAAa,GAAQ,EAAE,OAAO,CAAC,CAAC,CAAC;AACnC,MAAE,SAAY,GAAW,EAAE,SAAS,EAAE;AACtC,MAAE,MAAS,GAAI,EAAE,QAAQ,CAAC;AAC1B,MAAE,MAAS,GAAI,EAAE,KAAK,KAAK;AAC3B,MAAE,OAAU,GAAK,EAAE,KAAK,OAAO;AAC/B,MAAE,OAAU,GAAK,EAAE,MAAM,CAAC,GAAG,GAAG,CAAC,CAAC;AAClC,MAAE,QAAW,GAAK,CAAE,EAAE,KAAgB,MAAM,CAAC,KAAK,GAAI,EAAE,KAAgB,MAAM,CAAC,KAAK,GAAG,CAAC,GAAG,KAAK,OAAO;AACvG,WAAU,GAAO,CAAC,EAAE,MAAM,EAAE,KAAK,GAAG,EAAE;AAAA,EACxC,CAAC;AACH;AAEA,eAAsBC,UAAQ,OAAiBH,SAAwC;AACrF,MAAI,CAACH;AAAO,IAAAA,UAAQ,MAAMI,OAAKD,OAAM;AACrC,MAAI,EAACH,WAAA,gBAAAA,QAAQ;AAAa,WAAO;AAEjC,IAAE,MAAS,GAAI,OAAO,GAAG;AACzB,MAAI,UAAUG,QAAO,aAAa;AAAO,IAAAD,MAAKC,OAAM;AACpD,QAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,GAAG,IAAI,MAAMH,QAAM,aAAa,GAAGC,YAAW;AAC9E,MAAI;AACJ,UAAQE,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,aAAO,QAAQ,KAAK,GAAG;AACvB;AAAA,IACF,KAAK;AACH,aAAO,QAAQ,MAAM,GAAG;AACxB;AAAA,IACF,KAAK;AACH,aAAO,QAAQ,KAAK,IAAI;AACxB;AAAA,IACF,KAAK;AACH,aAAO,SAAS,GAAG;AACnB;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,EAAG,GAAQ,CAAC,EAAE,KAAK,KAAK,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,GAAG,CAAC;AACxD,GAAC,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,GAAG,IAAI,CAAC,KAAK,KAAK,KAAK,GAAG;AAClD,SAAO;AACT;;;ACxFA,IAAII;AAEJ,eAAsBC,OAAKC,SAAqC;AAC9D,MAAI,CAACF,WAAS,IAAI;AAAS,IAAAA,UAAQ,MAAM,UAAUE,QAAO,aAAa,SAAS;AAAA,WACvEA,QAAO;AAAO,QAAI,iBAAiBF,QAAM,UAAU,CAAC;AAC7D,SAAOA;AACT;AAEA,eAAsBG,UAAQ,OAAiBD,SAAwC;AAvBvF,MAAAE;AAwBE,MAAI,CAACJ;AAAO,IAAAA,UAAQ,MAAMC,OAAKC,OAAM;AACrC,MAAI,EAACF,WAAA,gBAAAA,QAAQ,gBAAe,GAACI,MAAAJ,WAAA,gBAAAA,QAAO,WAAP,gBAAAI,IAAgB,GAAG;AAAO,WAAO;AAC9D,QAAMC,MAA4B,CAAC;AACnC,EAAAA,IAAE,SAAY,GAAM,eAAe,OAAO,CAACL,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,GAAGA,QAAM,OAAO,CAAC,EAAE,QAAQA,QAAM,OAAO,CAAC,EAAE,MAAM,CAAC,IAAI,CAAC,GAAG,KAAK;AAC7J,EAAAK,IAAE,OAAU,GAAIA,IAAE,QAAQ,UAAU,KAAK;AACzC,EAAAA,IAAE,MAAML,QAAM,QAAQK,IAAE,IAAI;AAC5B,EAAAA,IAAE,UAAa,GAAQA,IAAE,KAAK,CAAC,CAAC,CAAC;AACjC,EAAAA,IAAE,QAAW,GAAM,eAAeA,IAAE,SAAqB,CAAC,MAAM,MAAM,CAAC,KAAK,GAAG,MAAM,MAAM,CAAC,KAAK,CAAC,CAAC;AACnG,EAAAA,IAAE,MAAS,GAAIA,IAAE,OAAO,UAAU,KAAK;AACvC,MAAI;AACJ,UAAQH,QAAO,aAAa,QAAQ,WAAW;AAAA,IAC7C,KAAK;AACH,MAAAG,IAAE,QAAW,GAAQ,KAAK;AAC1B,MAAAA,IAAE,SAAY,GAAO,CAACA,IAAE,OAAOA,IAAE,GAAG,GAAG,EAAE;AACzC,aAAU,GAAKA,IAAE,QAAQ,OAAO;AAChC;AAAA,IACF,KAAK;AACH,aAAU,GAAKA,IAAE,KAAK,OAAO;AAC7B;AAAA,IACF;AACE,aAAU,GAAO,CAAC;AAAA,EACtB;AACA,SAAO,KAAKA,GAAC,EAAE,QAAQ,CAAC,WAAc,GAAQA,IAAE,MAAM,CAAC,CAAC;AACxD,SAAO;AACT;;;APbO,SAAS,cAAc,UAAwBC,SAA0B,MAAgC;AAnChH,MAAAC,KAAA;AAoCE,MAAI,CAACD;AAAO,WAAO;AACnB,MAAI,GAACC,MAAA,qCAAU,WAAV,gBAAAA,IAAkB;AAAgB,WAAO;AAC9C,QAAM,YAAY,CAAC,SAAS,eAAe,QAAQ,OAAO,WAAW,OAAO,OAAO,OAAO,KAAK;AAC/F,QAAM,YAAY,CAAC,WAAW,oBAAoB,UAAU,UAAU,SAAS,SAAS,SAAS,aAAa;AAC9G,QAAM,MAAgB,CAAC;AACvB,QAAM,UAAoB,CAAC;AAE3B,QAAM,MAAMD,QAAM,UAAU;AAC5B,QAAM,WAAWA,QAAM,UAAU;AACjC,OAAI,0CAAU,UAAV,mBAAiB,OAAO;AAC1B,eAAW,UAAU,OAAO,OAAO,SAAS,MAAM,KAAK,GAAG;AACxD,YAAME,MAAM,OAAc,GAAG,YAAY;AACzC,UAAI,CAAC,IAAI,SAASA,GAAE;AAAG,YAAI,KAAKA,GAAE;AAAA,IACpC;AAAA,EACF,OAAO;AACL,QAAI,CAAC,YAAY,SAAS,OAAO,OAAO;AACtC,UAAI,oBAAoB,IAAI;AAAA,IAC9B;AAAA,EACF;AACA,aAAWA,OAAM,KAAK;AACpB,QAAI,CAAC,UAAU,SAASA,GAAE,KACrB,CAAC,UAAU,SAASA,GAAE,KACtB,CAAC,SAAS,IAAI,QAAQ,SAASA,GAAE,KACjC,CAAC,SAAS,IAAI,QAAQ,SAASA,IAAG,QAAQ,KAAK,EAAE,CAAC,KAClD,CAAC,SAAS,IAAI,QAAQ,SAASA,IAAG,QAAQ,UAAU,EAAE,CAAC,KACvD,CAAC,SAAS,IAAI,QAAQ,SAASA,IAAG,QAAQ,MAAM,EAAE,CAAC,GAAG;AACzD,cAAQ,KAAKA,GAAE;AAAA,IACjB;AAAA,EACF;AACA,MAAI,SAAS,OAAO,SAAS,QAAQ,SAAS;AAAG,QAAI,4BAA4B,MAAM,OAAO;AAC9F,SAAO,QAAQ,SAAS,IAAI,EAAE,MAAM,SAAS,KAAK,IAAI,IAAI;AAC5D;AAqBO,IAAM,SAAN,MAAa;AAAA,EAIlB,YAAY,iBAAwB;AAHpC,wBAAQ;AACR,kCAA4C,CAAC;AAG3C,SAAK,SAAS,CAAC;AACf,SAAK,WAAW;AAAA,EAClB;AAAA,EAEA,QAAoB;AAClB,QAAI,wBAAwB;AAC5B,QAAI,mBAAmB;AACvB,QAAI,mBAAmB;AACvB,eAAW,KAAK,OAAO,OAAO,UAAU,GAAG;AACzC,+BAAyB,EAAE;AAC3B,0BAAoB,EAAE;AACtB,0BAAoB,EAAE;AAAA,IACxB;AACA,UAAM,mBAAmB,mBAAmB,IAAI,mBAAmB,mBAAmB;AACtF,WAAO;AAAA,MACL,iBAAiB,OAAO,OAAO,UAAU,EAAE;AAAA,MAC3C,kBAAkB,OAAO,KAAK,KAAK,MAAM,EAAE;AAAA,MAC3C;AAAA,MACA;AAAA,MACA;AAAA,MACA;AAAA,MACA,YAAY,OAAO,OAAO,UAAU;AAAA,IACtC;AAAA,EACF;AAAA,EAEA,QAAc;AACZ,eAAWF,WAAS,OAAO,KAAK,KAAK,MAAM;AAAG,WAAK,OAAOA,OAAK,IAAI;AAAA,EACrE;AAAA,EAEA,MAAM,KAAK,UAAiC;AA1H9C,QAAAC,KAAA,IAAAE,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC,KAAA,IAAAC,KAAAC;AA2HI,QAAI,IAAI;AAAS,WAAK,MAAM;AAC5B,QAAI;AAAU,WAAK,WAAW;AAC9B,UAAM,IAA6D,CAAC;AAEpE,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,YAAuBC,MAAK,KAAK,SAAS,MAAM,IAAI;AACrH,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,aAAWtB,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,YAAuBsB,MAAK,KAAK,SAAS,MAAM,IAAI;AACrK,MAAE,WAAY,KAAK,SAAS,OAAO,KAAK,aAAW,UAAK,SAAS,OAAO,KAAK,aAA1B,mBAAoC,YAAW,CAAC,KAAK,OAAO,WAAqBA,MAAK,KAAK,SAAS,MAAM,IAAI;AACjK,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,aAAWpB,MAAA,KAAK,SAAS,OAAO,KAAK,gBAA1B,gBAAAA,IAAuC,YAAW,CAAC,KAAK,OAAO,UAAmBoB,MAAK,KAAK,SAAS,MAAM,IAAI;AACjK,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,aAAWnB,MAAA,KAAK,SAAS,OAAO,KAAK,YAA1B,gBAAAA,IAAmC,YAAW,CAAC,KAAK,OAAO,UAAmBmB,MAAK,KAAK,SAAS,MAAM,IAAI;AAC7J,MAAE,OAAQ,KAAK,SAAS,OAAO,KAAK,aAAW,UAAK,SAAS,OAAO,KAAK,SAA1B,mBAAgC,YAAW,GAAClB,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,OAAakB,MAAK,KAAK,SAAS,MAAM,IAAI;AAClM,MAAE,WAAY,KAAK,SAAS,OAAO,KAAK,aAAWjB,MAAA,KAAK,SAAS,OAAO,KAAK,SAA1B,gBAAAA,IAAgC,YAAY,CAAC,KAAK,OAAO,WAAsBiB,MAAK,KAAK,SAAS,MAAM,IAAI;AAE/J,MAAE,OAAQ,KAAK,SAAS,OAAO,KAAK,aAAWhB,MAAA,KAAK,SAAS,OAAO,KAAK,MAAM,MAAhC,gBAAAA,IAAmC,YAAW,CAAC,KAAK,OAAO,OAAagB,OAAK,KAAK,SAAS,MAAM,IAAI;AACpJ,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,aAAWf,MAAA,KAAK,SAAS,OAAO,KAAK,QAAQ,MAAlC,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,YAAuBe,OAAK,KAAK,SAAS,MAAM,IAAI;AACrK,MAAE,eAAgB,KAAK,SAAS,OAAO,KAAK,aAAWd,MAAA,KAAK,SAAS,OAAO,KAAK,QAAQ,MAAlC,gBAAAA,IAAqC,YAAW,CAAC,KAAK,OAAO,eAA6Bc,OAAK,KAAK,SAAS,MAAM,IAAI;AAC9K,MAAE,gBAAiB,KAAK,SAAS,OAAO,KAAK,aAAWb,MAAA,KAAK,SAAS,OAAO,KAAK,eAAe,MAAzC,gBAAAA,IAA4C,YAAW,CAAC,KAAK,OAAO,gBAA+Ba,OAAK,KAAK,SAAS,MAAM,IAAI;AACxL,MAAE,cAAe,KAAK,SAAS,OAAO,KAAK,aAAWZ,MAAA,KAAK,SAAS,OAAO,KAAK,aAAa,MAAvC,gBAAAA,IAA0C,YAAW,CAAC,KAAK,OAAO,cAA2BY,OAAK,KAAK,SAAS,MAAM,IAAI;AAEhL,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,eAAa,UAAK,SAAS,OAAO,KAAK,cAA1B,mBAAqC,SAAS,gBAA0B,SAAS,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,kBAAmB,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,mBAAmB,KAAK,SAAS,OAAO,KAAK,UAAU,KAAK,KAAK,SAAS,OAAO,KAAK,UAAU,EAAE,YAAuB,WAAW,KAAK,SAAS,MAAM,IAAI;AACnO,MAAE,gBAAiB,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,mBAAiBX,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,oBAAkCW,MAAK,KAAK,SAAS,MAAM,IAAI;AACnM,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,aAAWV,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,cAAsBU,OAAK,KAAK,SAAS,MAAM,IAAI;AAC3K,MAAE,UAAW,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,aAAWT,MAAA,KAAK,SAAS,OAAO,KAAK,cAA1B,gBAAAA,IAAqC,SAAS,cAAsBS,OAAK,KAAK,SAAS,MAAM,IAAI;AAE3K,MAAE,YAAa,KAAK,SAAS,OAAO,KAAK,WAAW,CAAC,KAAK,OAAO,eAAaP,OAAAD,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,gBAAAC,IAA+C,SAAS,gBAA0BQ,YAAW,KAAK,SAAS,MAAM,IAAI;AACnM,MAAE,eAAgB,KAAK,SAAS,OAAO,KAAK,WAAW,KAAK,SAAS,OAAO,KAAK,aAAa,CAAC,KAAK,OAAO,kBAAgB,MAAAP,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,mBAA+C,SAAS,gBAA0B,aAAa,KAAK,SAAS,MAAM,IAAI;AAClP,SAAIE,OAAAD,MAAA,KAAK,SAAS,OAAO,KAAK,aAA1B,gBAAAA,IAAoC,cAApC,gBAAAC,IAA+C,SAAS;AAAe,OAAC,EAAE,UAAU,EAAE,YAAY,IAAK,CAAC,KAAK,OAAO,WAAY,MAAeI,OAAK,KAAK,SAAS,MAAM,IAAI,CAAC,MAAM,IAAI;AAE3L,MAAE,YAAa,KAAK,SAAS,OAAO,OAAO,WAAW,CAAC,KAAK,OAAO,eAAa,UAAK,SAAS,OAAO,OAAO,cAA5B,mBAAuC,SAAS,gBAA0B,KAAK,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,UAAW,KAAK,SAAS,OAAO,OAAO,WAAW,CAAC,KAAK,OAAO,aAAWH,MAAA,KAAK,SAAS,OAAO,OAAO,cAA5B,gBAAAA,IAAuC,SAAS,cAAsBG,OAAK,KAAK,SAAS,MAAM,IAAI;AAE/K,MAAE,SAAU,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,YAAU,UAAK,SAAS,OAAO,aAAa,cAAlC,mBAA6C,SAAS,aAAoBA,OAAK,KAAK,SAAS,MAAM,IAAI;AACvL,MAAE,OAAQ,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,UAAQF,MAAA,KAAK,SAAS,OAAO,aAAa,cAAlC,gBAAAA,IAA6C,SAAS,WAAgBE,OAAK,KAAK,SAAS,MAAM,IAAI;AAC/K,MAAE,MAAO,KAAK,SAAS,OAAO,aAAa,WAAW,CAAC,KAAK,OAAO,SAAOD,MAAA,KAAK,SAAS,OAAO,aAAa,cAAlC,gBAAAA,IAA6C,SAAS,UAAcC,OAAK,KAAK,SAAS,MAAM,IAAI;AAG3K,eAAW,CAACvB,SAAO,OAAO,KAAK,OAAO,QAAQ,CAAC,GAAG;AAChD,UAAI,mCAAU;AAAS,gBAAQ,MAAM,EAAE,CAAC,QAAQ,KAAK,OAAOA,OAAK,IAAI,GAAG;AAAA,IAC1E;AACA,UAAM,QAAQ,IAAI,OAAO,OAAO,CAAC,CAAC;AAAA,EACpC;AAAA,EAEA,OAAO;AACL,UAAMyB,UAAS,OAAO,KAAK,KAAK,MAAM,EAAE,IAAI,CAACzB,YAAO;AAtKxD,UAAAC;AAsK4D,eAAE,MAAMD,SAAO,QAAS,KAAK,OAAOA,OAAK,MAAM,MAAO,MAAM,GAAG,KAAK,KAAK,OAAOA,OAAK,KAAIC,MAAA,KAAK,OAAOD,OAAK,MAAjB,gBAAAC,IAAqB,cAAc,KAAK;AAAA,KAAE;AAC3L,eAAW,KAAKwB,SAAQ;AACtB,YAAM,QAAQ,OAAO,KAAK,UAAU,EAAE,KAAK,CAAC,MAAM,EAAE,WAAW,EAAE,IAAI,CAAC;AACtE,UAAI,CAAC;AAAO;AACZ,QAAE,OAAO,WAAW,KAAK,EAAE;AAC3B,QAAE,MAAM,WAAW,KAAK,EAAE;AAAA,IAC5B;AACA,WAAOA;AAAA,EACT;AAAA,EAEA,SAAS;AACP,UAAM,OAAO,KAAK,KAAK;AACvB,UAAM,SAAS,KAAK,OAAO,CAACzB,YAAUA,QAAM,MAAM,EAAE,IAAI,CAACA,YAAUA,QAAM,IAAI;AAC7E,WAAO;AAAA,EACT;AAAA,EAEA,WAAkD;AAChD,UAAM,UAAuB,CAAC;AAC9B,eAAW,WAAW,OAAO,KAAK,KAAK,MAAM,GAAG;AAC9C,YAAMA,UAA2B,KAAK,OAAO,OAAuB;AACpE,UAAI,CAACA;AAAO;AACZ,YAAM,MAAM,cAAc,KAAK,UAAUA,SAAO,OAAO;AACvD,UAAI;AAAK,gBAAQ,KAAK,GAAG;AAAA,IAC3B;AACA,WAAO;AAAA,EACT;AACF;;;AQ1LO,SAAS0B,MAAK,OAAqB,QAAsB,OAAqB,UAA2B,OAA6C;AAN7J,MAAAC,KAAA,IAAAC,KAAAC,KAAA,IAAAC;AAOE,MAAIC,MAAK;AACT,QAAM,UAA0B,CAAC;AACjC,aAAWC,SAAQ,OAAO;AACxB,UAAMC,UAAuB,EAAE,IAAIF,OAAM,MAAAC,OAAM,MAAM,MAAM,OAAO,EAAE,MAAM,MAAM,OAAO,KAAK,GAAG,UAAU,CAAC,GAAG,KAAK,CAAC,GAAG,GAAG,GAAG,CAAC,EAAE;AAC/H,eAAWE,SAAQ,QAAQ;AACzB,UAAIF,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,KACvBF,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,KACtCF,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,KACtCF,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,GAAG;AAC1D,QAAAD,QAAO,OAAOC;AAAA,MAChB;AAAA,IACF;AACA,QAAID,QAAO,MAAM;AACf,iBAAWE,SAAQ,OAAO;AACxB,YAAIA,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC5CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,KAClEE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC7CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,GAAG;AACxE,cAAIA,QAAO;AAAO,YAAAA,QAAO,MAAM,OAAOE;AAAA,QACxC;AACA,YAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,KACnDE,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC/BE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,KAC7CE,MAAK,IAAI,CAAC,IAAIA,MAAK,IAAI,CAAC,IAAIF,QAAO,KAAK,IAAI,CAAC,IAAIA,QAAO,KAAK,IAAI,CAAC,GAAG;AACxE,cAAIA,QAAO;AAAO,YAAAA,QAAO,MAAM,QAAQE;AAAA,QACzC;AAAA,MACF;AAAA,IACF;AACA,eAAWC,YAAW,UAAU;AAC9B,UAAIA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,MAAMJ,MAAK;AAAI,QAAAC,QAAO,SAAS,KAAKG,QAAO;AAAA,eACrFA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,MAAMJ,MAAK;AAAI,QAAAC,QAAO,SAAS,KAAKG,QAAO;AAAA,eAC1FA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAMT,MAAAM,QAAO,SAAP,gBAAAN,IAAa;AAAI,QAAAM,QAAO,SAAS,KAAKG,QAAO;AAAA,eAClGA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAM,KAAAH,QAAO,MAAM,SAAb,mBAAmB;AAAI,QAAAA,QAAO,SAAS,KAAKG,QAAO;AAAA,eACxGA,SAAQ,MAAM,MAAM,UAAaA,SAAQ,MAAM,QAAMR,MAAAK,QAAO,MAAM,UAAb,gBAAAL,IAAoB;AAAI,QAAAK,QAAO,SAAS,KAAKG,QAAO;AAAA,IACpH;AAGA,UAAM,IAAc,CAAC;AACrB,UAAMC,KAAc,CAAC;AACrB,UAAM,YAAY,CAAC,QAAyB;AAC1C,UAAI,OAAO,IAAI,WAAW,GAAG;AAC3B,UAAE,KAAK,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAC9B,QAAAA,GAAE,KAAK,IAAI,CAAC,GAAG,IAAI,CAAC,IAAI,IAAI,CAAC,CAAC;AAAA,MAChC;AAAA,IACF;AACA,cAAUJ,QAAO,KAAK,GAAG;AACzB,eAAUJ,MAAAI,QAAO,SAAP,gBAAAJ,IAAa,GAAG;AAC1B,eAAU,KAAAI,QAAO,MAAM,SAAb,mBAAmB,GAAG;AAChC,eAAUH,MAAAG,QAAO,MAAM,UAAb,gBAAAH,IAAoB,GAAG;AACjC,UAAM,OAAO,KAAK,IAAI,GAAG,CAAC;AAC1B,UAAM,OAAO,KAAK,IAAI,GAAGO,EAAC;AAC1B,IAAAJ,QAAO,MAAM,CAAC,MAAM,MAAM,KAAK,IAAI,GAAG,CAAC,IAAI,MAAM,KAAK,IAAI,GAAGI,EAAC,IAAI,IAAI;AAGtE,SAAI,+BAAQ,QAAM,+BAAQ;AAAI,MAAAJ,QAAO,SAAS,CAACA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,GAAGA,QAAO,IAAI,CAAC,IAAI,MAAM,CAAC,CAAC;AAErJ,YAAQ,KAAKA,OAAM;AAAA,EACrB;AACA,SAAO;AACT;;;AC7DO,IAAMK,QAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AA0Jb,IAAMC,QAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;;;AChJpB,eAAe,aAAa,UAA8C;AACxE,QAAM,YAAY,CAAC,QAAgB,OAAO,+BAA+B,MAAM,QAAQ,eAAe,QAAQ,EAAE,KAAK,CAACC,SAAQA,KAAI,KAAK,CAAC;AACxI,MAAI;AACJ,MAAI;AACJ,UAAQ,SAAS,OAAO,QAAQ;AAAA,IAC9B,KAAK;AAAQ,aAAO,MAAM,UAAiBC,KAAI;AAAG;AAAA,IAClD,KAAK;AAAA,IACL,KAAK;AAAQ,aAAO,MAAM,UAAiBC,KAAI;AAAG;AAAA,IAClD;AAAS,aAAO;AAAA,EAClB;AACA,MAAI,MAAM;AACR,UAAM,SAAS,MAAM,kBAAkB,IAAI;AAC3C,UAAM,MAAM,SAAS,OAAO,QAAQ,SAAS,MAAM;AACnD,WAAO,MAAM;AAAA,EACf;AACA,SAAO;AACT;AAEA,eAAe,aAAa,UAA8C;AACxE,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,QAAI;AAEJ,YAAQ,SAAS,OAAO,QAAQ;AAAA,MAC9B,KAAK;AAEH,cAAM,4BAAmCD;AACzC;AAAA,MACF,KAAK;AAAA,MACL,KAAK;AAEH,cAAM,4BAAmCC;AACzC;AAAA,MACF;AACE,cAAM;AAAA,IACV;AAEA,QAAI;AACJ,QAAI,OAAO,UAAU;AAAa,YAAM,IAAI,MAAM;AAAA,aAEzC,IAAI;AAAO,YAAM,IAAI,IAAI,MAAM;AAAA,SACnC;AACH,cAAQ,MAAS;AACjB;AAAA,IACF;AACA,QAAI,SAAS,YAAY;AACvB,YAAMC,UAAe,OAAO,IAAI,cAAc,IAAI,aAAa;AAC/D,UAAI,CAACA,SAAQ;AACX,YAAI,0BAA0B;AAC9B,gBAAQ,MAAS;AAAA,MACnB,OAAO;AACL,cAAM,MAAMA,QAAO,WAAW,IAAI;AAClC,YAAI;AAAK,cAAI,UAAU,KAAK,GAAG,CAAC;AAEhC,cAAM,SAAS,MAAM,SAAS,MAAMA,SAAQ,IAAI;AAChD,cAAM,MAAM,OAAO,SAAS,MAAM,SAAS,OAAO,OAAO,QAAQ,SAAS,MAAM,IAAI;AACpF,gBAAQ,GAAG;AAAA,MACb;AAAA,IACF;AACA,QAAI;AAAK,UAAI,MAAM;AAAA;AACd,cAAQ,MAAS;AAAA,EACxB,CAAC;AACH;AAEA,eAAe,WAAW,UAA8C;AACtE,QAAMC,QAAO,CAAC,QAAgB,OAAO,KAAK,KAAK,QAAQ;AACvD,MAAI;AACJ,MAAI,SAAS,OAAO,WAAW;AAAQ,UAAMA,MAAYH,KAAI;AAAA;AACxD,UAAMG,MAAYF,KAAI;AAC3B,MAAI;AACJ,MAAK,UAAU,oBAAW,IAAW,MAAM,cAAe;AAExD,UAAM,OAAkB,SAAQ,WAAW,GAAG;AAC9C,UAAM,WAAsB,GAAW,MAAM,CAAC;AAC9C,aAAS,GAAG,QAAQ,IAAI;AAExB,UAAM,MAAM,SAAS,OAAO,UAAU,SAAS,MAAM;AACrD,aAAS,GAAG,QAAQ,QAAQ;AAAA,EAC9B,OAAO;AACL,QAAI,SAAS,OAAO;AAAO,UAAI,6BAA6B;AAAA,EAQ9D;AAEA,SAAO;AACT;AAEA,eAAe,aAAa,UAAiB;AAC3C,MAAI;AACJ,MAAI,OAAO,sBAAsB;AAAY,UAAM,MAAM,aAAa,QAAQ;AAAA,WACpE,OAAO,UAAU,eAAiB,IAAI,WAAW;AAAY,UAAM,MAAM,aAAa,QAAQ;AAAA;AACnG,UAAM,MAAM,WAAW,QAAQ;AACpC,SAAO;AACT;AAGA,eAAsB,WAAW,UAAiB;AAnHlD,MAAAG,KAAA,IAAAC,KAAAC;AAqHE,MAAI,CAAI,EAAI,EAAE,aAAa;AAAqB;AAChD,QAAM,cAAiB,IAAW;AAClC,QAAM,eAAkB,IAAQ;AAChC,MAAK,gBAAgB,WAAW,gBAAgB,aAAc,EAAC,6CAAe,4BAA2B;AAEvG;AAAA,EACF;AACA,EAAG,EAAI,EAAE,IAAI,uBAAuB,IAAI;AACxC,QAAM,kBAAqB,GAAO,EAAE,MAAM;AAC1C,QAAM,iBAA2B,CAAC;AAClC,aAAW,CAAC,WAAWC,OAAK,KAAK,OAAO,QAAQ,SAAS,OAAO,MAAM,GAAG;AACvE,QAAI,CAACA;AAAO;AACZ,UAAM,SAASA,WAAA,gBAAAA,QAAO,qBAAkB,MAAAH,MAAAG,WAAA,gBAAAA,QAAO,WAAP,gBAAAH,IAAgB,OAAhB,mBAAoB,SAAS,CAAC,GAAGG,QAAM,OAAO,CAAC,EAAE,KAAK,IAAI,CAAC,GAAG,IAAI,IAAI,CAAC;AAC/G,UAAM,SAAmBA,WAAA,gBAAAA,QAAO,qBAAkBD,OAAAD,MAAAE,WAAA,gBAAAA,QAAO,WAAP,gBAAAF,IAAgB,OAAhB,gBAAAC,IAAoB,SAASC,QAAM,OAAO,CAAC,EAAE,QAAQ;AACvG,aAAS,MAAM,GAAG,MAAM,MAAM,QAAQ,OAAO;AAC3C,UAAI,MAAM,GAAG,MAAM;AAAI,cAAM,GAAG,IAAI,QAAQ,IAAI,IAAI;AAAA,IACtD;AACA,UAAM,SAAY,GAAM,OAAO,KAAK;AACpC,QAAI;AACF,YAAM,MAAMA,QAAM,QAAQ,MAAM;AAChC,qBAAe,KAAK,SAAS;AAC7B,UAAI,MAAM,QAAQ,GAAG;AAAG,YAAI,QAAQ,CAACC,QAAS,GAAQA,GAAC,CAAC;AAAA;AACnD,QAAG,GAAQ,GAAG;AAAA,IACrB,SAAQ,GAAN;AACA,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB,SAAS;AAAA,IACjE;AACA,IAAG,GAAQ,MAAM;AAAA,EACnB;AACA,QAAM,UAAU,MAAM,aAAa,6BAA6B,EAAE;AAClE,eAAa,qBAAqB,EAAE;AACpC,MAAI,SAAS,OAAO;AAAO,QAAI,iBAAiB,EAAE,QAAQ,gBAAgB,SAAS,QAAQ,OAAO,CAAC;AACnG,EAAG,EAAI,EAAE,IAAI,uBAAuB,KAAK;AACzC,QAAM,gBAAmB,GAAO,EAAE,MAAM;AACxC,MAAK,gBAAgB,kBAAmB;AAAG,QAAI,gBAAgB,gBAAgB,eAAe;AAChG;AAOA,eAAsB,OAAO,UAAiB,YAA2D;AACvG,QAAc,MAAM,UAAU,KAAK;AACnC,QAAM,KAAK,IAAI;AACf,WAAS,QAAQ;AACjB,MAAI;AAAY,aAAS,SAAS,UAAU,SAAS,QAAQ,UAAU;AACvE,MAAI,CAAC,SAAS,OAAO,UAAU,SAAS,OAAO,OAAO,WAAW,KAAK,SAAS,OAAO,WAAW,QAAQ;AACvG,WAAO,MAAM;AAAA,EACf;AACA,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,OAAO,KAAK;AAC3B,UAAM,WAAW,QAAQ;AACzB,UAAM,MAAM,MAAM,aAAa,QAAQ;AACvC,UAAMC,MAAK,IAAI;AACf,QAAI,SAAS,OAAO;AAAO,UAAI,UAAU,SAAS,OAAO,QAAQ,KAAK,MAAMA,MAAK,EAAE,GAAG,IAAI;AAC1F,aAAS,KAAK,QAAQ;AACtB,YAAQ,GAAG;AAAA,EACb,CAAC;AACH;;;AC/KA;AAyDO,IAAM,QAAN,MAAY;AAAA;AAAA;AAAA;AAAA;AAAA,EA6EjB,YAAY,YAA8B;AA3E1C;AAAA;AAKA;AAAA;AAAA;AAAA;AAKA;AAAA;AAAA;AAAA;AAMA;AAAA;AAAA;AAAA;AAAA;AAGA;AAAA;AAMA;AAAA;AAAA;AAAA;AAAA;AAGA;AAAA,+BAAW;AAQX;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,gCAAoB;AAOpB;AAAA;AAAA;AAAA;AAAA;AAAA,iCAAsB;AAMtB;AAAA;AAAA;AAAA;AAAA;AAWA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAEA;AAAA;AAEA;AAAA;AAEA;AAAA;AACA;AAAA;AACA;AACA;AAqDA;AAAA,mCAAU,IAAI,QAAkB;AAC9B,UAAI,CAAC,mBAAK;AAAqB;AAC/B,YAAM,iBAAiB,KAAK,GAAG,OAAO,EAAE,MAAM;AAC9C,YAAM,kBAAkB,mBAAK;AAC7B,yBAAK,aAAc;AACnB,YAAM,SAAS,iBAAiB;AAChC,UAAI,WAAW;AAAG,YAAI,GAAG,KAAK,MAAM;AAAA,IACtC;AAGA;AAAA,gCAAU,CAAC,UAAgC;AACzC,UAAI,CAAC,mBAAK;AAAc,eAAO;AAC/B,UAAI,CAAC;AAAO,eAAO;AACnB,UAAI,KAAK,IAAI,QAAQ,EAAE,iBAAoB;AAAS,eAAO;AAC3D,UAAI;AACF,aAAK,GAAG,WAAW;AAAA,MACrB,SAAQ,GAAN;AACA,eAAO;AAAA,MACT;AACA,aAAO;AAAA,IACT;AA6EA;AAAA;AAAA;AAAA,wBAAO,UAAS,IAAI,OAAO;AAoC3B;AAAA,gCAAO,CAAC,UAAkB;AA1T5B,UAAAC;AA2TI,WAAIA,MAAA,KAAK,WAAL,gBAAAA,IAAa;AAAe,aAAK,OAAO,cAAc,IAAI,MAAM,KAAK,CAAC;AAAA,IAC5E;AAuOA;AAAA,+BAAkC,CAAC;AAvZjC,UAAM,aAAgB,IAAQ,QAAW,IAAc,QAAQ,SAAS,EAAE;AAC1E,WAAS,WAAW,8DAA8D;AAClF,WAAS,gBAAgB,IAAI,UAAU,eAAe;AACtD,SAAK,UAAc;AACnB,WAAO,eAAe,MAAM,WAAW,EAAE,OAAW,QAAQ,CAAC;AAC7D,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU,MAAQ,CAAC;AACjD,WAAO,KAAK,KAAK,MAAM;AACvB,SAAK,OAAO,cAAc,OAAO,cAAc;AAC/C,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,wBAAoB,KAAK,MAAM;AAC/B,SAAK,KAAK;AACV,SAAK,QAAQ;AACb,uBAAK,aAAc;AACnB,uBAAK,qBAAsB;AAC3B,uBAAK,cAAe;AACpB,SAAK,cAAc,CAAC;AACpB,SAAK,SAAU,OAAO,gBAAgB,cAAe,IAAI,YAAY,IAAI;AAEzE,SAAK,SAAS,IAAW,OAAO,IAAI;AAEpC,IAAKC,MAAK;AACV,SAAK,SAAS,MAAM;AAEpB,SAAK,UAAU,EAAE,QAAQ,MAAM,QAAQ,KAAK;AAE5C,SAAK,oBAA6B;AAClC,SAAK,YAAqB;AAE1B,IAAO,cAAc,MAAM,MAAM,EAAE;AAEnC,SAAK,KAAK,QAAQ;AAClB,QAAI,KAAK,OAAO,SAAS,KAAK,IAAI;AAAS,UAAI,YAAY,KAAK,SAAS;AACzE,QAAI,KAAK,OAAO;AAAO,UAAI,iBAAiB,KAAK,GAAG,QAAQ,WAAW,GAAG;AAC1E,UAAM,UAAU,KAAK,MAAM,KAAK,UAAU,KAAK,GAAG,CAAC;AACnD,WAAO,QAAQ;AACf,WAAO,QAAQ;AACf,WAAO,QAAQ;AACf,QAAI,KAAK,OAAO;AAAO,UAAI,gBAAgB,OAAO;AAAA,EACpD;AAAA;AAAA,EA0BA,QAAc;AACZ,UAAM,iBAAiB,KAAK,OAAO;AACnC,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU,MAAQ,CAAC;AACjD,SAAK,OAAO,UAAU;AACtB,IAAM,MAAM;AACZ,QAAI,UAAU;AAAA,EAChB;AAAA;AAAA,EAGA,SAAS,YAA8B;AACrC,UAAM,OAAO,SAAS,QAAU,cAAc,KAAK,MAAM;AACzD,QAAI,KAAK,WAAW;AAAG,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AACtE,WAAO;AAAA,EACT;AAAA;AAAA,EAGA,MAAc;AACZ,WAAO,IAAI;AAAA,EACb;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,OAAc,YAAqB,OAAO;AAC9C,WAAaC,SAAQ,OAAO,KAAK,QAAQ,SAAS;AAAA,EACpD;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,aAAa,OAAc,YAAsD;AAhPzF,QAAAF,KAAA,IAAAG;AAiPI,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,QAAI,CAAC,KAAK,OAAO,aAAa;AAAS,aAAO;AAC9C,UAAM,YAAY,MAAYD,SAAQ,OAAO,KAAK,MAAM;AACxD,QAAI,CAAC,UAAU;AAAQ,aAAO;AAC9B,QAAI,SAAwB;AAC5B,SAAIF,MAAA,KAAK,OAAO,aAAa,cAAzB,gBAAAA,IAAoC,SAAS;AAAQ,eAAS,MAAUI,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACjH,SAAI,UAAK,OAAO,aAAa,cAAzB,mBAAoC,SAAS;AAAS,eAAS,MAAWA,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACnH,SAAID,MAAA,KAAK,OAAO,aAAa,cAAzB,gBAAAA,IAAoC,SAAS;AAAW,eAAS,MAAaC,UAAQ,UAAU,QAAQ,KAAK,MAAM;AACvH,IAAG,GAAQ,UAAU,MAAM;AAC3B,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASA,QAAQ,kBAA0B,mBAA4C;AAC5E,WAAa,QAAQ,KAAK,QAAQ,kBAAkB,iBAAiB;AAAA,EACvE;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAOA,MAAM,OAAsB;AAC1B,UAAc,MAAM,MAAM,IAAI;AAC9B,UAAM,KAAK,GAAG,MAAM;AACpB,IAAM,MAAM;AAAA,EACd;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYA,MAAM,KAAK,YAA6C;AACtD,SAAK,QAAQ;AACb,UAAM,YAAY,IAAI;AACtB,UAAMC,SAAQ,OAAO,OAAO,KAAK,OAAO,MAAM,EAAE,OAAO,CAACC,YAAUA,OAAK,EAAE;AACzE,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAC/D,QAAI,KAAK,IAAI,SAAS;AACpB,UAAI,CAAC,MAAc,MAAM,MAAM,KAAK;AAAG,YAAI,6BAA6B;AACxE,YAAS,IAAM;AACf,UAAI,KAAK,IAAI,SAAS;AACpB,YAAI,KAAK,OAAO;AAAO,cAAI,kBAAkB,KAAK,MAAM;AACxD,YAAI,KAAK,OAAO;AAAO,cAAI,aAAa,KAAK,GAAG,IAAI,KAAK;AAAA,MAC3D;AAAA,IACF;AAEA,UAAM,KAAK,OAAO,KAAK,IAAI;AAC3B,QAAI,KAAK,IAAI,WAAW,KAAK,OAAO;AAAO,UAAI,oBAAoB,KAAK,GAAG,OAAO,EAAE,MAAM,UAAU,SAAS,KAAK,GAAG,OAAO,EAAE,MAAM,YAAY,SAAS;AACzJ,SAAK,IAAI,UAAU;AAEnB,UAAM,SAAS,OAAO,OAAO,KAAK,OAAO,MAAM,EAAE,OAAO,CAACA,YAAUA,OAAK,EAAE;AAC1E,QAAI,WAAWD,QAAO;AACpB,WAAK,OAAO,SAAS;AACrB,WAAK,KAAK,MAAM;AAAA,IAClB;AAEA,UAAM,UAAU,KAAK,MAAM,IAAI,IAAI,SAAS;AAC5C,QAAI,WAAW,KAAK,YAAY,cAAc;AAAI,WAAK,YAAY,aAAa,KAAK,IAAI,WAAW,KAAK,YAAY,cAAc,KAAK,UAAU;AAAA,EACpJ;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAaA,KAAK,SAAiB,KAAK,QAAgB;AACzC,WAAmBE,MAAK,QAAQ,KAAK,MAAM;AAAA,EAC7C;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAQA,MAAM,OAAO,YAA8B;AACzC,UAAM,KAAK,IAAI;AACf,UAAM,MAAM,MAAc,OAAO,MAAM,UAAU;AACjD,UAAMC,MAAK,IAAI;AACf,SAAK,YAAY,SAAS,KAAK,MAAMA,MAAK,EAAE;AAC5C,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA,EAMA,MAAM,QAAQ,OAAc,YAAyF;AAEnH,UAAM,UAAU,MAAM,KAAK,GAAG,QAAQ,MAAM,KAAK,OAAO,OAAO,UAAU,CAAC;AAC1E,UAAM,UAAkC,CAAC;AACzC,QAAI,QAAQ;AACZ,eAAW,UAAU,QAAQ,SAAS;AACpC,YAAMC,MAAK,OAAO,OAAO,YAAY,KAAK;AAC1C,UAAI,QAAQ,OAAO,IAAI;AAAG,gBAAQ,OAAO,IAAI,KAAKA;AAAA;AAC7C,gBAAQ,OAAO,IAAI,IAAIA;AAC5B,eAASA;AAAA,IACX;AACA,UAAM,YAA8D,CAAC;AACrE,WAAO,QAAQ,OAAO,EAAE,QAAQ,CAAC,QAAQ,UAAU,KAAK,EAAE,QAAQ,IAAI,CAAC,GAAG,MAAM,IAAI,CAAC,GAAwB,MAAM,EAAE,CAAC,CAAC;AACvH,eAAW,UAAU,WAAW;AAC9B,aAAO,OAAO,KAAK,MAAM,MAAO,OAAO,OAAO,KAAK,IAAI;AACvD,aAAO,OAAO,KAAK,MAAM,MAAO,OAAO,IAAI,IAAI;AAAA,IACjD;AACA,cAAU,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE,IAAI;AACxC,cAAU,SAAS;AACnB,WAAO;AAAA,EACT;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAYA,MAAM,OAAO,OAAc,YAA+C;AAExE,SAAK,QAAQ;AACb,WAAO,IAAI,QAAQ,OAAO,YAAY;AA7X1C,UAAAT,KAAA,IAAAG,KAAAO,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAAC,KAAA,IAAAC;AA8XM,WAAK,QAAQ;AACb,UAAI;AAGJ,WAAK,SAAS,UAAU,KAAK,QAAQ,UAAU;AAG/C,WAAK,QAAQ;AACb,YAAM,QAAQ,mBAAK,SAAL,WAAa;AAC3B,UAAI,OAAO;AACT,YAAI,OAAO,KAAK;AAChB,aAAK,KAAK,OAAO;AACjB,gBAAQ,MAAM,KAAK,CAAC;AAAA,MACtB;AAEA,YAAM,YAAY,IAAI;AAGtB,YAAM,KAAK,KAAK;AAEhB,kBAAY,IAAI;AAChB,WAAK,QAAQ;AACb,YAAM,MAAM,MAAYtB,SAAQ,OAAO,KAAK,MAAM;AAClD,WAAK,UAAU;AACf,WAAK,YAAY,eAAe,KAAK,IAAI,WAAW,KAAK,YAAY,gBAAgB,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACtJ,WAAK,QAAQ,YAAY;AAEzB,UAAI,CAAC,IAAI,QAAQ;AACf,YAAI,KAAK,OAAO;AAAO,cAAI,mCAAmC;AAC9D,aAAK,KAAK,OAAO;AACjB,gBAAQ,MAAM,mCAAmC,CAAC;AAClD;AAAA,MACF;AACA,WAAK,KAAK,OAAO;AAEjB,kBAAY,IAAI;AAChB,WAAK,OAAO,cAAc,MAAY,KAAK,KAAK,QAAQ,IAAI,MAAM;AAClE,WAAK,OAAO,OAAO,kBAAkB,KAAK,OAAO,OAAO,kBAAkB,UAAU,KAAK,OAAO;AAChG,UAAI,CAAC,KAAK,YAAY;AAAa,aAAK,YAAY,cAAc;AAClE,UAAI,CAAC,KAAK,YAAY;AAAc,aAAK,YAAY,eAAe;AACpE,MAAC,KAAK,YAAY;AAClB,UAAI,KAAK,OAAO;AAAa,aAAK,YAAY;AAC9C,WAAK,YAAY,aAAa,KAAK,IAAI,WAAW,KAAK,YAAY,cAAc,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAClJ,WAAK,QAAQ,gBAAgB;AAI7B,UAAI,UAA0D,CAAC;AAC/D,UAAI,UAA0D,CAAC;AAC/D,UAAI,UAA0D,CAAC;AAC/D,UAAI,YAAgE,CAAC;AAGrE,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,kBAAU,KAAK,OAAO,KAAK,UAAe,WAAW,MAAM,IAAI,MAAM,IAAI,CAAC;AAC1E,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,kBAAU,KAAK,OAAO,KAAK,UAAU,MAAW,WAAW,MAAM,IAAI,MAAM,IAAI,CAAC;AAChF,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AAEA,UAAI,KAAK,OAAO,UAAU,KAAK,OAAO,KAAK,gBAAgB,MAAM,KAAK,OAAO,KAAK,gBAAgB;AAAK,kBAAU,MAAM;AAGvH,WAAK,QAAQ,aAAa;AAC1B,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,EAAE,EAAE,CAAC,IAAI,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIF,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAkBI,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC5H,UAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAoB,QAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBACrID,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAwBC,SAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC7IM,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAkBN,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAC1I,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAI,UAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAcA,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAClIO,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAgB,QAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC3IC,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAoBR,SAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBACnJS,MAAA,KAAK,OAAO,KAAK,cAAjB,gBAAAA,IAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAcT,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAChJ,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AACA,WAAK,QAAQ,WAAW;AAGxB,WAAK,QAAQ,aAAa;AAC1B,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,EAAE,EAAE,CAAC,IAAI,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIW,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAmBX,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAC1Ia,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAoBb,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AACxJ,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,MACrD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAIc,OAAA,UAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,gBAAAA,IAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAed,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAAA,kBAChJgB,OAAAD,MAAA,KAAK,OAAO,KAAK,aAAjB,gBAAAA,IAA2B,cAA3B,gBAAAC,IAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAgBhB,UAAQ,IAAI,QAAQ,UAAU,IAAI,CAAC;AAC9J,aAAK,YAAY,OAAO,KAAK,IAAI,WAAW,KAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MACxI;AACA,WAAK,QAAQ,WAAW;AAGxB,WAAK,QAAQ,eAAe;AAC5B,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,aAAIiB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAkBjB,UAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAAA,kBACnIkB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAoBlB,SAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AACrJ,YAAI,KAAK,YAAY;AAAQ,iBAAO,KAAK,YAAY;AAAA,MACvD,OAAO;AACL,oBAAY,IAAI;AAChB,aAAImB,MAAA,KAAK,OAAO,OAAO,cAAnB,gBAAAA,IAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAcnB,UAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAAA,kBACzI,UAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAgBA,SAAQ,IAAI,QAAQ,KAAK,MAAM,IAAI,CAAC;AAC3J,aAAK,YAAY,SAAS,KAAK,IAAI,WAAW,KAAK,YAAY,UAAU,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,MAC5I;AACA,WAAK,QAAQ,aAAa;AAG1B,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO;AAAO,SAAC,SAAS,SAAS,SAAS,SAAS,IAAI,MAAM,QAAQ,IAAI,CAAC,SAAS,SAAS,SAAS,SAAS,CAAC;AAGxH,WAAK,QAAQ;AACb,UAAI,aAA8B,CAAC;AACnC,UAAI,KAAK,OAAO,QAAQ,SAAS;AAC/B,oBAAY,IAAI;AAChB,qBAAa,CAAC,GAAWqB,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,GAAG,GAAWC,MAAK,OAAuB,CAAC;AACpL,YAAI,CAAC,KAAK,OAAO;AAAO,eAAK,YAAY,UAAU,KAAK,IAAI,WAAW,KAAK,YAAY,WAAW,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AAAA,iBAC3J,KAAK,YAAY;AAAS,iBAAO,KAAK,YAAY;AAAA,MAC7D;AAEA,WAAK,YAAY,QAAQ,KAAK,IAAI,WAAW,KAAK,YAAY,SAAS,KAAK,KAAK,MAAM,IAAI,IAAI,SAAS,IAAI,KAAK,MAAM,IAAI,IAAI,SAAS;AACxI,YAAM,UAAQJ,MAAA,KAAK,QAAQ,WAAb,gBAAAA,IAAqB,UAAS,CAAC,GAAG,GAAG,GAAG,CAAC;AACvD,WAAK,SAAS;AAAA,QACZ,MAAM;AAAA,QACN,MAAM;AAAA,QACN,MAAM;AAAA,QACN,SAAS;AAAA,QACT,QAAQ;AAAA,QACR,aAAa,KAAK;AAAA,QAClB,QAAQ,KAAK,QAAQ;AAAA,QACrB,WAAW,KAAK,IAAI;AAAA,QACpB,OAAO;AAAA,QACP,OAAO,MAAM,CAAC;AAAA,QACd,QAAQ,MAAM,CAAC;AAAA,QACf,IAAI,UAAU;AAAE,iBAAeK,MAAK,SAAyB,SAAyB,SAAyB,YAAY,KAAK;AAAA,QAAG;AAAA,MACrI;AAGA,MAAG,GAAQ,IAAI,MAAM;AAGrB,WAAK,KAAK,QAAQ;AAClB,WAAK,QAAQ;AACb,cAAQ,KAAK,MAAM;AAAA,IACrB,CAAC;AAAA,EACH;AAAA;AAAA;AAAA;AAAA,EAKA,MAAM,MAAMpB,KAA2B;AACrC,WAAO,IAAI,QAAQ,CAAC,YAAY;AAAE,iBAAW,SAASA,GAAE;AAAA,IAAG,CAAC;AAAA,EAC9D;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EASA,MAAM,MAAM,SAA2B,MAAe,MAAM,QAAgB,GAAG;AAC7E,QAAI,KAAK;AACP,UAAI,CAAC,mBAAK,QAAO,QAAQ,EAAE,GAAG;AAC5B,YAAI,KAAK,OAAO;AAAO,cAAI,eAAe,QAAQ,EAAE;AACpD,2BAAK,QAAO,QAAQ,EAAE,IAAI;AAAA,MAC5B;AACA,UAAI,CAAC,QAAQ,UAAU,mBAAK,QAAO,QAAQ,EAAE,KAAM,QAAQ,cAAc;AAAI,cAAM,KAAK,OAAO,OAAO;AACtG,UAAI,QAAQ;AAAG,cAAM,KAAK,MAAM,KAAK;AACrC,UAAI,mBAAK,QAAO,QAAQ,EAAE;AAAG,8BAAsB,MAAM,KAAK,MAAM,SAAS,KAAK,KAAK,CAAC;AAAA,IAC1F,OAAO;AACL,UAAI,KAAK,OAAO;AAAO,YAAI,cAAc,QAAQ,EAAE;AACnD,yBAAK,QAAO,QAAQ,EAAE,IAAI;AAAA,IAC5B;AAAA,EACF;AACF;AAzbE;AACA;AACA;AA+DA;AAoWA;", + "names": ["t", "dt", "ts", "config", "match", "gl", "index", "y", "v", "size", "rgb", "fx", "process", "config", "_a", "_c", "tensor", "rgb", "t", "gl", "_a", "affectnet-mobilenet", "anti-spoofing", "blazeface-back", "blazeface-front", "blazepose-detector", "blazepose-full", "blazepose-heavy", "blazepose-lite", "efficientpose-i-lite", "efficientpose-ii-lite", "efficientpose-iv", "facemesh-attention", "facemesh-attention-pinto", "facemesh-detection-full", "facemesh-detection-short", "faceres-deep", "gear-e1", "gear-e2", "gender-ssrnet-imdb", "handlandmark-full", "handlandmark-lite", "handlandmark-sparse", "insightface-efficientnet-b0", "insightface-ghostnet-strides1", "insightface-ghostnet-strides2", "insightface-mobilenet-emore", "insightface-mobilenet-swish", "movenet-lightning", "movenet-multipose", "movenet-thunder", "nanodet-e", "nanodet-g", "nanodet-m", "nanodet-t", "init", "config", "_a", "_c", "_d", "model", "config", "gl", "_a", "_a", "config", "op", "t", "canvas", "init", "options", "rgb", "localOptions", "y", "cx", "cy", "pt", "xc", "yc", "options", "connectionsToIndices", "index", "_a", "_c", "_d", "_f", "_g", "_h", "_i", "emotion", "index", "v", "pt", "inCanvas", "options", "inCanvas", "_a", "localOptions", "options", "pt", "connected", "inCanvas", "_a", "localOptions", "options", "pt", "inCanvas", "_a", "localOptions", "options", "inCanvas", "_a", "localOptions", "options", "inCanvas", "localOptions", "options", "canvas", "init", "anchors", "y", "config", "outputSize", "_a", "t", "outputSize", "pt", "model", "inputSize", "config", "size", "_a", "t", "outputSize", "kpt", "distance", "annotations", "pt", "body", "_c", "labels", "model", "inputSize", "last", "lastTime", "skipped", "config", "process", "t", "id", "labels", "y", "predict", "outputSize", "connected", "kpt", "model", "lastTime", "cache", "skipped", "load", "config", "y", "predict", "_a", "enhance", "id", "x", "kpt", "connected", "pt", "pt", "size", "y", "y", "v1", "v2", "size", "inputSize", "anchors", "face", "y", "model", "inputSize", "load", "config", "_a", "decodeBoxes", "t", "_c", "_d", "_f", "model", "inputSize", "load", "config", "_a", "index", "face", "y", "_a", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "t", "cache", "model", "inputSize", "predict", "config", "_a", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "id", "size", "face", "pt", "t", "index", "load", "model", "last", "lastTime", "skipped", "load", "config", "_a", "_c", "predict", "count", "_b", "t", "inputSize", "model", "last", "lastTime", "lastCount", "skipped", "load", "config", "_a", "predict", "count", "_c", "_d", "t", "gender", "all", "y", "face", "pt", "model", "skipped", "lastCount", "lastTime", "load", "config", "_a", "predict", "count", "model", "cached", "skipped", "lastCount", "lastTime", "load", "config", "_a", "predict", "count", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "_a", "predict", "count", "_b", "_c", "_d", "t", "gender", "age", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "predict", "count", "_a", "_c", "_d", "_b", "t", "model", "last", "lastCount", "lastTime", "skipped", "rgb", "load", "config", "_a", "predict", "count", "_c", "_d", "_b", "t", "normalize", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "_a", "predict", "count", "t", "model", "last", "lastCount", "lastTime", "skipped", "load", "config", "predict", "count", "_a", "t", "face", "normalize", "v", "y", "size", "pt", "face", "_a", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_k", "_l", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "predict", "options", "point", "point2", "gesture", "body", "face", "iris", "_a", "_c", "_d", "hand", "getBoxSize", "getBoxCenter", "scaleBoxCoordinates", "enlargeBox", "size", "squarifyBox", "normalizeRadians", "computeRotation", "buildTranslationMatrix", "y", "dot", "v1", "v2", "getColumnFrom2DArr", "multiplyTransformMatrices", "size", "buildRotationMatrix", "invertTransformMatrix", "rotatePoint", "anchors", "model", "_a", "_c", "_d", "anchors", "t", "index", "config", "hand", "scaleBoxCoordinates", "lastTime", "handPoseModel", "_a", "_c", "xs", "ys", "rotatePoint", "enlargeBox", "squarifyBox", "getBoxSize", "buildRotationMatrix", "invertTransformMatrix", "getBoxCenter", "dot", "config", "computeRotation", "meshAnnotations", "predict", "config", "annotations", "index", "pt", "load", "_a", "models", "inputSize", "skipped", "lastTime", "cache", "loadDetect", "config", "_a", "config", "models", "t", "ratio", "id", "hand", "inputSize", "kpt", "index", "predict", "_a", "skipped", "lastTime", "cache", "connected", "kpt", "calc", "config", "_a", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_k", "_l", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "_x", "_z", "_b", "_e", "annotations", "pt", "kp", "t1", "model", "load", "config", "predict", "_a", "t", "options", "clamp", "index", "models_exports", "cache", "body", "kp", "compare", "inputSize", "_a", "t", "outputSize", "kpt", "pt", "model", "inputSize", "skipped", "cache", "load", "config", "_a", "kpt", "id", "pt", "annotations", "connected", "kp", "body", "predict", "t", "model", "last", "lastTime", "skipped", "inputSize", "load", "config", "process", "_a", "id", "size", "labels", "cx", "cy", "y", "predict", "outputSize", "y", "maxSize", "t", "outputStride", "y1", "x1", "y2", "x2", "dx", "model", "point", "height", "width", "minConfidence", "y", "_a", "predict", "config", "t", "load", "model", "outputNodes", "init", "config", "load", "rgb", "predict", "model", "load", "config", "predict", "_a", "t", "model", "_a", "op", "_c", "_d", "_f", "_g", "_h", "_i", "_j", "_k", "_l", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "_v", "_x", "_z", "_A", "load", "loadDetect", "models", "join", "_a", "_c", "_d", "_f", "id", "face", "person", "body", "hand", "gesture", "y", "face", "body", "res", "face", "body", "canvas", "atob", "_a", "_c", "_d", "model", "t", "t1", "_a", "init", "process", "_c", "predict", "count", "model", "calc", "t1", "ms", "_d", "_f", "_g", "_h", "_i", "_j", "_k", "_l", "_n", "_o", "_p", "_q", "_r", "_s", "_u", "face", "body", "hand", "iris", "join"] } diff --git a/dist/human.js b/dist/human.js index b9202fff..87590a10 100644 --- a/dist/human.js +++ b/dist/human.js @@ -4,57 +4,57 @@ author: ' */ -"use strict";var Human=(()=>{var lc=Object.defineProperty;var RI=Object.getOwnPropertyDescriptor;var MI=Object.getOwnPropertyNames;var $I=Object.prototype.hasOwnProperty;var _I=(e,t,a)=>t in e?lc(e,t,{enumerable:!0,configurable:!0,writable:!0,value:a}):e[t]=a;var fr=(e,t)=>{for(var a in t)lc(e,a,{get:t[a],enumerable:!0})},PI=(e,t,a,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of MI(t))!$I.call(e,r)&&r!==a&&lc(e,r,{get:()=>t[r],enumerable:!(n=RI(t,r))||n.enumerable});return e};var FI=e=>PI(lc({},"__esModule",{value:!0}),e);var de=(e,t,a)=>(_I(e,typeof t!="symbol"?t+"":t,a),a),_5=(e,t,a)=>{if(!t.has(e))throw TypeError("Cannot "+a)};var qa=(e,t,a)=>(_5(e,t,"read from private field"),a?a.call(e):t.get(e)),Gn=(e,t,a)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,a)},mr=(e,t,a,n)=>(_5(e,t,"write to private field"),n?n.call(e,a):t.set(e,a),a);var dfe={};fr(dfe,{Env:()=>Ap,Human:()=>b5,default:()=>b5,defaults:()=>So,draw:()=>e0,empty:()=>lr,env:()=>ne,match:()=>N0,models:()=>A5});var je={};fr(je,{Abs:()=>vl,Acos:()=>kl,Acosh:()=>wl,AdadeltaOptimizer:()=>j1,AdagradOptimizer:()=>q1,AdamOptimizer:()=>X1,AdamaxOptimizer:()=>K1,Add:()=>ts,AddN:()=>Ks,All:()=>Zs,Any:()=>Ys,ArgMax:()=>Js,ArgMin:()=>Id,Asin:()=>Il,Asinh:()=>Sl,Atan:()=>Tl,Atan2:()=>Nl,Atanh:()=>Cl,AvgPool:()=>Qs,AvgPool3D:()=>Kc,AvgPool3DGrad:()=>L2,AvgPoolGrad:()=>Xc,BackendWasm:()=>w8,BatchMatMul:()=>ei,BatchToSpaceND:()=>El,Bincount:()=>Sd,BroadcastArgs:()=>Zc,BroadcastTo:()=>TS,Cast:()=>ti,Ceil:()=>ai,ClipByValue:()=>as,Complex:()=>Td,ComplexAbs:()=>Yc,Concat:()=>Rl,Conv2D:()=>ni,Conv2DBackpropFilter:()=>Cd,Conv2DBackpropInput:()=>ri,Conv3D:()=>Jc,Conv3DBackpropFilterV2:()=>B2,Conv3DBackpropInputV2:()=>Qc,Cos:()=>si,Cosh:()=>ii,CropAndResize:()=>ui,Cumprod:()=>oi,Cumsum:()=>li,DataStorage:()=>kd,DenseBincount:()=>Nd,DepthToSpace:()=>di,DepthwiseConv2dNative:()=>pi,DepthwiseConv2dNativeBackpropFilter:()=>eh,DepthwiseConv2dNativeBackpropInput:()=>th,Diag:()=>Ed,Dilation2D:()=>Rd,Dilation2DBackpropFilter:()=>Bm,Dilation2DBackpropInput:()=>Lm,ENV:()=>D2,Einsum:()=>Md,Elu:()=>hi,EluGrad:()=>W2,Environment:()=>cx,Equal:()=>fi,Erf:()=>Ml,Exp:()=>mi,ExpandDims:()=>$l,Expm1:()=>_l,FFT:()=>$d,Fill:()=>Pl,FlipLeftRight:()=>gi,Floor:()=>yi,FloorDiv:()=>xi,FromPixels:()=>nd,FusedBatchNorm:()=>Ai,FusedConv2D:()=>jr,FusedDepthwiseConv2D:()=>qr,GPGPUContext:()=>sl,GatherNd:()=>bi,GatherV2:()=>Fl,GraphModel:()=>up,Greater:()=>vi,GreaterEqual:()=>ki,IFFT:()=>_d,Identity:()=>wi,Imag:()=>Pd,IsFinite:()=>Ol,IsInf:()=>Dl,IsNan:()=>Ii,KernelBackend:()=>Al,LRN:()=>Od,LRNGrad:()=>V2,LeakyRelu:()=>Si,Less:()=>Ti,LessEqual:()=>Ci,LinSpace:()=>Fd,Log:()=>Ni,Log1p:()=>zl,LogSoftmax:()=>CS,LogicalAnd:()=>Ei,LogicalNot:()=>Ri,LogicalOr:()=>Mi,LogicalXor:()=>fx,LowerBound:()=>NS,MathBackendCPU:()=>Th,MathBackendWebGL:()=>fu,Max:()=>$i,MaxPool:()=>Pi,MaxPool3D:()=>ah,MaxPool3DGrad:()=>G2,MaxPoolGrad:()=>U2,MaxPoolWithArgmax:()=>nh,Maximum:()=>_i,Mean:()=>Fi,Min:()=>Oi,Minimum:()=>Di,MirrorPad:()=>zi,Mod:()=>Ll,MomentumOptimizer:()=>Z1,Multinomial:()=>rh,Multiply:()=>Li,Neg:()=>Bl,NonMaxSuppressionV3:()=>Wi,NonMaxSuppressionV4:()=>Wl,NonMaxSuppressionV5:()=>Vi,NotEqual:()=>Bi,OP_SCOPE_SUFFIX:()=>K2,OneHot:()=>Ui,OnesLike:()=>Vl,Optimizer:()=>is,OptimizerConstructors:()=>x4,Pack:()=>Ul,PadV2:()=>Gi,Pool:()=>ES,Pow:()=>Hi,Prelu:()=>ji,Prod:()=>qi,RMSPropOptimizer:()=>Y1,RaggedGather:()=>sh,RaggedRange:()=>ih,RaggedTensorToTensor:()=>oh,Range:()=>Gl,Rank:()=>Um,Real:()=>Dd,RealDiv:()=>ci,Reciprocal:()=>Xi,Reduction:()=>va,Relu:()=>Ki,Relu6:()=>Ji,Reshape:()=>Hl,ResizeBilinear:()=>Yi,ResizeBilinearGrad:()=>j2,ResizeNearestNeighbor:()=>Zi,ResizeNearestNeighborGrad:()=>H2,Reverse:()=>Qi,RotateWithOffset:()=>go,Round:()=>eo,Rsqrt:()=>to,SGDOptimizer:()=>Sh,ScatterNd:()=>ao,SearchSorted:()=>zd,Select:()=>jl,Selu:()=>ql,Sigmoid:()=>ro,Sign:()=>Zl,Sin:()=>no,Sinh:()=>Kl,Slice:()=>Xl,Softmax:()=>oo,Softplus:()=>Yl,SpaceToBatchND:()=>Jl,SparseFillEmptyRows:()=>Ld,SparseReshape:()=>eu,SparseSegmentMean:()=>Bd,SparseSegmentSum:()=>Wd,SparseToDense:()=>Vd,SplitV:()=>Ql,Sqrt:()=>so,Square:()=>Ud,SquaredDifference:()=>lo,Step:()=>rs,StridedSlice:()=>uo,StringNGrams:()=>tu,StringSplit:()=>Gd,StringToHashBucketFast:()=>Hd,Sub:()=>po,Sum:()=>io,Tan:()=>co,Tanh:()=>ho,Tensor:()=>ct,TensorBuffer:()=>jt,Tile:()=>ns,TopK:()=>fo,Transform:()=>mo,Transpose:()=>Ar,Unique:()=>lh,Unpack:()=>au,UnsortedSegmentSum:()=>uh,UpperBound:()=>RS,Variable:()=>id,WebGPUBackend:()=>Oh,ZerosLike:()=>nu,_FusedMatMul:()=>Hr,abs:()=>Za,acos:()=>Fx,acosh:()=>Ox,add:()=>be,addN:()=>ph,all:()=>Dx,any:()=>zx,argMax:()=>ar,argMin:()=>Lx,asin:()=>Bx,asinh:()=>Wx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>r1,avgPool3d:()=>Xx,backend:()=>tr,backend_util:()=>T,basicLSTMCell:()=>Kx,batchNorm:()=>tp,batchNorm2d:()=>Zx,batchNorm3d:()=>Yx,batchNorm4d:()=>Jx,batchToSpaceND:()=>s1,bincount:()=>i1,booleanMaskAsync:()=>Pb,broadcastArgs:()=>Qx,broadcastTo:()=>rl,broadcast_util:()=>xo,browser:()=>Sr,buffer:()=>_e,cast:()=>Xe,ceil:()=>eA,clipByValue:()=>tA,clone:()=>Ia,complex:()=>vr,concat:()=>st,concat1d:()=>aA,concat2d:()=>ru,concat3d:()=>nA,concat4d:()=>rA,conv1d:()=>sA,conv2d:()=>ap,conv2dTranspose:()=>oA,conv3d:()=>lA,conv3dTranspose:()=>uA,copyRegisteredKernels:()=>FS,cos:()=>dA,cosh:()=>pA,cosineWindow:()=>bh,cumprod:()=>cA,cumsum:()=>hA,customGrad:()=>Qn,denseBincount:()=>fA,deprecationWarn:()=>t1,depthToSpace:()=>mA,depthwiseConv2d:()=>ch,deregisterOp:()=>vP,device_util:()=>Kd,diag:()=>gA,dilation2d:()=>yA,disableDeprecationWarnings:()=>HT,dispose:()=>J,disposeVariables:()=>jT,div:()=>xe,divNoNan:()=>AA,dot:()=>bA,dropout:()=>Bb,einsum:()=>vA,elu:()=>u1,enableDebugMode:()=>GT,enableProdMode:()=>e1,enclosingPowerOfTwo:()=>U1,engine:()=>vt,env:()=>V,equal:()=>l1,erf:()=>kA,euclideanNorm:()=>SA,exp:()=>Zr,expandDims:()=>Gt,expm1:()=>TA,eye:()=>p1,fft:()=>xh,fill:()=>nr,findBackend:()=>a1,findBackendFactory:()=>YT,floor:()=>c1,floorDiv:()=>Qd,forceHalfFloat:()=>U6,fused:()=>G1,gather:()=>h1,gatherND:()=>Lb,gather_util:()=>e3,getBackend:()=>da,getGradient:()=>Wm,getKernel:()=>Nc,getKernelsForBackend:()=>Zn,getThreadsCount:()=>Mne,gpgpu_util:()=>v6,grad:()=>KN,grads:()=>ZN,greater:()=>sp,greaterEqual:()=>f1,ifft:()=>fd,imag:()=>ip,image:()=>ce,inTopKAsync:()=>Wb,io:()=>jn,irfft:()=>F1,isFinite:()=>CA,isInf:()=>NA,isNaN:()=>EA,keep:()=>On,kernel_impls:()=>Nn,leakyRelu:()=>m1,less:()=>RA,lessEqual:()=>hh,linalg:()=>Kb,linspace:()=>MA,loadGraphModel:()=>s3,loadGraphModelSync:()=>SF,localResponseNormalization:()=>$A,log:()=>ul,log1p:()=>g1,logSigmoid:()=>PA,logSoftmax:()=>FA,logSumExp:()=>x1,logicalAnd:()=>cd,logicalNot:()=>A1,logicalOr:()=>b1,logicalXor:()=>OA,losses:()=>Zb,lowerBound:()=>DA,matMul:()=>lt,math:()=>o4,max:()=>fa,maxPool:()=>v1,maxPool3d:()=>zA,maxPoolWithArgmax:()=>LA,maximum:()=>k1,mean:()=>hd,memory:()=>qT,meshgrid:()=>BA,min:()=>Kr,minimum:()=>w1,mirrorPad:()=>WA,mod:()=>su,moments:()=>VA,movingAverage:()=>Fb,mul:()=>te,multiRNNCell:()=>UA,multinomial:()=>GA,neg:()=>Xn,nextFrame:()=>A4,norm:()=>rp,notEqual:()=>I1,oneHot:()=>$c,ones:()=>Br,onesLike:()=>HA,op:()=>z,outerProduct:()=>jA,pad:()=>rr,pad1d:()=>qA,pad2d:()=>XA,pad3d:()=>KA,pad4d:()=>ZA,pool:()=>YA,pow:()=>ll,prelu:()=>T1,print:()=>Q2,prod:()=>JA,profile:()=>XT,raggedGather:()=>QA,raggedRange:()=>eb,raggedTensorToTensor:()=>tb,rand:()=>ab,randomGamma:()=>ib,randomNormal:()=>M1,randomStandardNormal:()=>ob,randomUniform:()=>$1,range:()=>dl,ready:()=>Jd,real:()=>pl,reciprocal:()=>lb,registerBackend:()=>yo,registerGradient:()=>$S,registerKernel:()=>yn,registerOp:()=>bP,relu:()=>op,relu6:()=>_1,removeBackend:()=>ZT,reshape:()=>Q,reverse:()=>Yr,reverse1d:()=>ub,reverse2d:()=>db,reverse3d:()=>pb,reverse4d:()=>cb,rfft:()=>Ah,round:()=>P1,rsqrt:()=>hb,scalar:()=>ze,scatterND:()=>Db,scatter_util:()=>B1,searchSorted:()=>mh,selu:()=>fb,separableConv2d:()=>mb,serialization:()=>Qb,setBackend:()=>Yd,setPlatform:()=>JT,setThreadsCount:()=>Rne,setWasmPath:()=>Ene,setWasmPaths:()=>Fh,setWebGLContext:()=>Eh,setdiff1dAsync:()=>gb,shared:()=>Ch,sigmoid:()=>Ba,sign:()=>yb,signal:()=>Xb,sin:()=>xb,sinh:()=>Ab,slice:()=>Fe,slice1d:()=>bb,slice2d:()=>vb,slice3d:()=>lp,slice4d:()=>gh,slice_util:()=>St,softmax:()=>yh,softplus:()=>y1,spaceToBatchND:()=>S1,sparse:()=>Yb,sparseToDense:()=>zb,spectral:()=>qb,split:()=>Sa,sqrt:()=>Jn,square:()=>Tn,squaredDifference:()=>O1,squeeze:()=>De,stack:()=>ua,step:()=>D1,stridedSlice:()=>kb,string:()=>Jb,sub:()=>me,sum:()=>rt,sumOutType:()=>Xd,tan:()=>wb,tanh:()=>Mc,tensor:()=>Ue,tensor1d:()=>Ht,tensor2d:()=>Kn,tensor3d:()=>z1,tensor4d:()=>Ib,tensor5d:()=>Sb,tensor6d:()=>Tb,tensor_util:()=>xx,test_util:()=>nb,tidy:()=>Oe,tile:()=>Ur,time:()=>KT,topk:()=>Cb,train:()=>y_,transpose:()=>Vs,truncatedNormal:()=>Nb,unique:()=>Eb,unregisterGradient:()=>PS,unregisterKernel:()=>_S,unsortedSegmentSum:()=>Rb,unstack:()=>Na,upcastType:()=>ma,upperBound:()=>Mb,util:()=>v,valueAndGrad:()=>YN,valueAndGrads:()=>JN,variable:()=>$b,variableGrads:()=>_A,version:()=>xp,version_converter:()=>CF,version_core:()=>t3,version_cpu:()=>PO,version_wasm:()=>$ne,version_webgl:()=>bG,webgl:()=>vG,webgl_util:()=>H7,webgpu_util:()=>T8,where:()=>Ws,whereAsync:()=>L1,zeros:()=>gn,zerosLike:()=>Ja});var OI=Object.create,F2=Object.defineProperty,DI=Object.getOwnPropertyDescriptor,zI=Object.getOwnPropertyNames,LI=Object.getPrototypeOf,BI=Object.prototype.hasOwnProperty,qt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ze=(e,t)=>{for(var a in t)F2(e,a,{get:t[a],enumerable:!0})},WI=(e,t,a,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of zI(t))!BI.call(e,r)&&r!==a&&F2(e,r,{get:()=>t[r],enumerable:!(n=DI(t,r))||n.enumerable});return e},xl=(e,t,a)=>(a=e!=null?OI(LI(e)):{},WI(t||!e||!e.__esModule?F2(a,"default",{value:e,enumerable:!0}):a,e)),VI=qt((e,t)=>{t.exports=n;var a=null;try{a=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(I){}function n(I,_,D){this.low=I|0,this.high=_|0,this.unsigned=!!D}n.prototype.__isLong__,Object.defineProperty(n.prototype,"__isLong__",{value:!0});function r(I){return(I&&I.__isLong__)===!0}n.isLong=r;var s={},i={};function o(I,_){var D,W,P;return _?(I>>>=0,(P=0<=I&&I<256)&&(W=i[I],W)?W:(D=u(I,(I|0)<0?-1:0,!0),P&&(i[I]=D),D)):(I|=0,(P=-128<=I&&I<128)&&(W=s[I],W)?W:(D=u(I,I<0?-1:0,!1),P&&(s[I]=D),D))}n.fromInt=o;function l(I,_){if(isNaN(I))return _?b:A;if(_){if(I<0)return b;if(I>=g)return $}else{if(I<=-y)return M;if(I+1>=y)return N}return I<0?l(-I,_).neg():u(I%m|0,I/m|0,_)}n.fromNumber=l;function u(I,_,D){return new n(I,_,D)}n.fromBits=u;var p=Math.pow;function c(I,_,D){if(I.length===0)throw Error("empty string");if(I==="NaN"||I==="Infinity"||I==="+Infinity"||I==="-Infinity")return A;if(typeof _=="number"?(D=_,_=!1):_=!!_,D=D||10,D<2||360)throw Error("interior hyphen");if(W===0)return c(I.substring(1),_,D).neg();for(var P=l(p(D,8)),U=A,G=0;G>>0:this.low},R.toNumber=function(){return this.unsigned?(this.high>>>0)*m+(this.low>>>0):this.high*m+(this.low>>>0)},R.toString=function(I){if(I=I||10,I<2||36>>0,B=H.toString(I);if(U=q,U.isZero())return B+G;for(;B.length<6;)B="0"+B;G=""+B+G}},R.getHighBits=function(){return this.high},R.getHighBitsUnsigned=function(){return this.high>>>0},R.getLowBits=function(){return this.low},R.getLowBitsUnsigned=function(){return this.low>>>0},R.getNumBitsAbs=function(){if(this.isNegative())return this.eq(M)?64:this.neg().getNumBitsAbs();for(var I=this.high!=0?this.high:this.low,_=31;_>0&&!(I&1<<_);_--);return this.high!=0?_+33:_+1},R.isZero=function(){return this.high===0&&this.low===0},R.eqz=R.isZero,R.isNegative=function(){return!this.unsigned&&this.high<0},R.isPositive=function(){return this.unsigned||this.high>=0},R.isOdd=function(){return(this.low&1)===1},R.isEven=function(){return(this.low&1)===0},R.equals=function(I){return r(I)||(I=d(I)),this.unsigned!==I.unsigned&&this.high>>>31===1&&I.high>>>31===1?!1:this.high===I.high&&this.low===I.low},R.eq=R.equals,R.notEquals=function(I){return!this.eq(I)},R.neq=R.notEquals,R.ne=R.notEquals,R.lessThan=function(I){return this.comp(I)<0},R.lt=R.lessThan,R.lessThanOrEqual=function(I){return this.comp(I)<=0},R.lte=R.lessThanOrEqual,R.le=R.lessThanOrEqual,R.greaterThan=function(I){return this.comp(I)>0},R.gt=R.greaterThan,R.greaterThanOrEqual=function(I){return this.comp(I)>=0},R.gte=R.greaterThanOrEqual,R.ge=R.greaterThanOrEqual,R.compare=function(I){if(r(I)||(I=d(I)),this.eq(I))return 0;var _=this.isNegative(),D=I.isNegative();return _&&!D?-1:!_&&D?1:this.unsigned?I.high>>>0>this.high>>>0||I.high===this.high&&I.low>>>0>this.low>>>0?-1:1:this.sub(I).isNegative()?-1:1},R.comp=R.compare,R.negate=function(){return!this.unsigned&&this.eq(M)?M:this.not().add(k)},R.neg=R.negate,R.add=function(I){r(I)||(I=d(I));var _=this.high>>>16,D=this.high&65535,W=this.low>>>16,P=this.low&65535,U=I.high>>>16,G=I.high&65535,q=I.low>>>16,H=I.low&65535,B=0,Z=0,X=0,re=0;return re+=P+H,X+=re>>>16,re&=65535,X+=W+q,Z+=X>>>16,X&=65535,Z+=D+G,B+=Z>>>16,Z&=65535,B+=_+U,B&=65535,u(X<<16|re,B<<16|Z,this.unsigned)},R.subtract=function(I){return r(I)||(I=d(I)),this.add(I.neg())},R.sub=R.subtract,R.multiply=function(I){if(this.isZero())return A;if(r(I)||(I=d(I)),a){var _=a.mul(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}if(I.isZero())return A;if(this.eq(M))return I.isOdd()?M:A;if(I.eq(M))return this.isOdd()?M:A;if(this.isNegative())return I.isNegative()?this.neg().mul(I.neg()):this.neg().mul(I).neg();if(I.isNegative())return this.mul(I.neg()).neg();if(this.lt(x)&&I.lt(x))return l(this.toNumber()*I.toNumber(),this.unsigned);var D=this.high>>>16,W=this.high&65535,P=this.low>>>16,U=this.low&65535,G=I.high>>>16,q=I.high&65535,H=I.low>>>16,B=I.low&65535,Z=0,X=0,re=0,ee=0;return ee+=U*B,re+=ee>>>16,ee&=65535,re+=P*B,X+=re>>>16,re&=65535,re+=U*H,X+=re>>>16,re&=65535,X+=W*B,Z+=X>>>16,X&=65535,X+=P*H,Z+=X>>>16,X&=65535,X+=U*q,Z+=X>>>16,X&=65535,Z+=D*B+W*H+P*q+U*G,Z&=65535,u(re<<16|ee,Z<<16|X,this.unsigned)},R.mul=R.multiply,R.divide=function(I){if(r(I)||(I=d(I)),I.isZero())throw Error("division by zero");if(a){if(!this.unsigned&&this.high===-2147483648&&I.low===-1&&I.high===-1)return this;var _=(this.unsigned?a.div_u:a.div_s)(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?b:A;var D,W,P;if(this.unsigned){if(I.unsigned||(I=I.toUnsigned()),I.gt(this))return b;if(I.gt(this.shru(1)))return S;P=b}else{if(this.eq(M)){if(I.eq(k)||I.eq(C))return M;if(I.eq(M))return k;var U=this.shr(1);return D=U.div(I).shl(1),D.eq(A)?I.isNegative()?k:C:(W=this.sub(I.mul(D)),P=D.add(W.div(I)),P)}else if(I.eq(M))return this.unsigned?b:A;if(this.isNegative())return I.isNegative()?this.neg().div(I.neg()):this.neg().div(I).neg();if(I.isNegative())return this.div(I.neg()).neg();P=A}for(W=this;W.gte(I);){D=Math.max(1,Math.floor(W.toNumber()/I.toNumber()));for(var G=Math.ceil(Math.log(D)/Math.LN2),q=G<=48?1:p(2,G-48),H=l(D),B=H.mul(I);B.isNegative()||B.gt(W);)D-=q,H=l(D,this.unsigned),B=H.mul(I);H.isZero()&&(H=k),P=P.add(H),W=W.sub(B)}return P},R.div=R.divide,R.modulo=function(I){if(r(I)||(I=d(I)),a){var _=(this.unsigned?a.rem_u:a.rem_s)(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}return this.sub(this.div(I).mul(I))},R.mod=R.modulo,R.rem=R.modulo,R.not=function(){return u(~this.low,~this.high,this.unsigned)},R.and=function(I){return r(I)||(I=d(I)),u(this.low&I.low,this.high&I.high,this.unsigned)},R.or=function(I){return r(I)||(I=d(I)),u(this.low|I.low,this.high|I.high,this.unsigned)},R.xor=function(I){return r(I)||(I=d(I)),u(this.low^I.low,this.high^I.high,this.unsigned)},R.shiftLeft=function(I){return r(I)&&(I=I.toInt()),(I&=63)===0?this:I<32?u(this.low<>>32-I,this.unsigned):u(0,this.low<>>I|this.high<<32-I,this.high>>I,this.unsigned):u(this.high>>I-32,this.high>=0?0:-1,this.unsigned)},R.shr=R.shiftRight,R.shiftRightUnsigned=function(I){if(r(I)&&(I=I.toInt()),I&=63,I===0)return this;var _=this.high;if(I<32){var D=this.low;return u(D>>>I|_<<32-I,_>>>I,this.unsigned)}else return I===32?u(_,0,this.unsigned):u(_>>>I-32,0,this.unsigned)},R.shru=R.shiftRightUnsigned,R.shr_u=R.shiftRightUnsigned,R.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},R.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},R.toBytes=function(I){return I?this.toBytesLE():this.toBytesBE()},R.toBytesLE=function(){var I=this.high,_=this.low;return[_&255,_>>>8&255,_>>>16&255,_>>>24,I&255,I>>>8&255,I>>>16&255,I>>>24]},R.toBytesBE=function(){var I=this.high,_=this.low;return[I>>>24,I>>>16&255,I>>>8&255,I&255,_>>>24,_>>>16&255,_>>>8&255,_&255]},n.fromBytes=function(I,_,D){return D?n.fromBytesLE(I,_):n.fromBytesBE(I,_)},n.fromBytesLE=function(I,_){return new n(I[0]|I[1]<<8|I[2]<<16|I[3]<<24,I[4]|I[5]<<8|I[6]<<16|I[7]<<24,_)},n.fromBytesBE=function(I,_){return new n(I[4]<<24|I[5]<<16|I[6]<<8|I[7],I[0]<<24|I[1]<<16|I[2]<<8|I[3],_)}}),UI=qt(()=>{}),GI=qt(()=>{}),HI=qt((e,t)=>{(function(a,n,r){function s(u){var p=this,c=l();p.next=function(){var d=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=d-(p.c=d|0)},p.c=1,p.s0=c(" "),p.s1=c(" "),p.s2=c(" "),p.s0-=c(u),p.s0<0&&(p.s0+=1),p.s1-=c(u),p.s1<0&&(p.s1+=1),p.s2-=c(u),p.s2<0&&(p.s2+=1),c=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var c=new s(u),d=p&&p.state,h=c.next;return h.int32=function(){return c.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,d&&(typeof d=="object"&&i(d,c),h.state=function(){return i(c,{})}),h}function l(){var u=4022871197,p=function(c){c=String(c);for(var d=0;d>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),jI=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var d=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^d^d>>>8},l===(l|0)?u.x=l:p+=l;for(var c=0;c>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),qI=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.next=function(){var d=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(d^d<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var c=0;c>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),XI=qt((e,t)=>{(function(a,n,r){function s(l){var u=this;u.next=function(){var c=u.x,d=u.i,h,f,m;return h=c[d],h^=h>>>7,f=h^h<<24,h=c[d+1&7],f^=h^h>>>10,h=c[d+3&7],f^=h^h>>>3,h=c[d+4&7],f^=h^h<<7,h=c[d+7&7],h=h^h<<13,f^=h^h<<9,c[d]=f,u.i=d+1&7,f};function p(c,d){var h,f,m=[];if(d===(d|0))f=m[0]=d;else for(d=""+d,h=0;h0;--h)c.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(c.x&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),KI=qt((e,t)=>{(function(a,n,r){function s(l){var u=this;u.next=function(){var c=u.w,d=u.X,h=u.i,f,m;return u.w=c=c+1640531527|0,m=d[h+34&127],f=d[h=h+1&127],m^=m<<13,f^=f<<17,m^=m>>>15,f^=f>>>12,m=d[h]=m^f,u.i=h,m+(c^c>>>16)|0};function p(c,d){var h,f,m,g,y,x=[],A=128;for(d===(d|0)?(f=d,d=null):(d=d+"\0",f=0,A=Math.max(A,d.length)),m=0,g=-32;g>>15,f^=f<<4,f^=f>>>13,g>=0&&(y=y+1640531527|0,h=x[g&127]^=f+y,m=h==0?m+1:0);for(m>=128&&(x[(d&&d.length||0)&127]=-1),m=127,g=4*128;g>0;--g)f=x[m+34&127],h=x[m=m+1&127],f^=f<<13,h^=h<<17,f^=f>>>15,h^=h>>>12,x[m]=f^h;c.w=y,c.X=x,c.i=m}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(c.X&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),ZI=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.next=function(){var d=u.b,h=u.c,f=u.d,m=u.a;return d=d<<25^d>>>7^h,h=h-f|0,f=f<<24^f>>>8^m,m=m-d|0,u.b=d=d<<20^d>>>12^h,u.c=h=h-f|0,u.d=f<<16^h>>>16^m,u.a=m-d|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var c=0;c>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),YI=qt(()=>{}),JI=qt((e,t)=>{(function(a,n,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),c=p*2,d=s-1,h;function f(k,S,C){var N=[];S=S==!0?{entropy:!0}:S||{};var $=x(y(S.entropy?[k,b(n)]:k==null?A():k,3),N),M=new m(N),R=function(){for(var I=M.g(i),_=u,D=0;I=c;)I/=2,_/=2,D>>>=1;return(I+D)/_};return R.int32=function(){return M.g(4)|0},R.quick=function(){return M.g(4)/4294967296},R.double=R,x(b(M.S),n),(S.pass||C||function(I,_,D,W){return W&&(W.S&&g(W,M),I.state=function(){return g(M,{})}),D?(r[l]=I,_):I})(R,$,"global"in S?S.global:this==r,S.state)}function m(k){var S,C=k.length,N=this,$=0,M=N.i=N.j=0,R=N.S=[];for(C||(k=[C++]);${var a=HI(),n=jI(),r=qI(),s=XI(),i=KI(),o=ZI(),l=JI();l.alea=a,l.xor128=n,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),ex=qt(()=>{}),tx=qt(()=>{}),QI=qt(()=>{}),eS=qt(()=>{}),tS=qt(()=>{}),aS=qt((e,t)=>{var a=(()=>{var n=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(n=n||__filename),function(r){r=r||{};function s(){return ie.buffer!=Ge&&dt(ie.buffer),ht}function i(){return ie.buffer!=Ge&&dt(ie.buffer),Ha}function o(){return ie.buffer!=Ge&&dt(ie.buffer),Ot}function l(){return ie.buffer!=Ge&&dt(ie.buffer),sa}function u(){return ie.buffer!=Ge&&dt(ie.buffer),Fa}function p(){return ie.buffer!=Ge&&dt(ie.buffer),un}function c(){return ie.buffer!=Ge&&dt(ie.buffer),Oa}var d=typeof r!="undefined"?r:{},h,f;d.ready=new Promise(function(O,j){h=O,f=j});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},d),y=[],x="./this.program",A=(O,j)=>{throw j},b=typeof window=="object",k=typeof importScripts=="function",S=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",C=d.ENVIRONMENT_IS_PTHREAD||!1,N="";function $(O){return d.locateFile?d.locateFile(O,N):N+O}var M,R,I,_;function D(O){O instanceof Cs||H("exiting due to exception: "+O)}if(S){var W=ex(),P=tx();k?N=P.dirname(N)+"/":N=__dirname+"/",M=(j,oe)=>(j=Uo(j)?new URL(j):P.normalize(j),W.readFileSync(j,oe?void 0:"utf8")),I=j=>{var oe=M(j,!0);return oe.buffer||(oe=new Uint8Array(oe)),oe},R=(j,oe,Re)=>{j=Uo(j)?new URL(j):P.normalize(j),W.readFile(j,function(He,Ve){He?Re(He):oe(Ve.buffer)})},process.argv.length>1&&(x=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Cs))throw j}),process.on("unhandledRejection",function(j){throw j}),A=(j,oe)=>{if(kn())throw process.exitCode=j,oe;D(oe),process.exit(j)},d.inspect=function(){return"[Emscripten Module object]"};let O;try{O=QI()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=O.Worker}else(b||k)&&(k?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof n!="undefined"&&n&&(N=n),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",S||(M=O=>{var j=new XMLHttpRequest;return j.open("GET",O,!1),j.send(null),j.responseText},k&&(I=O=>{var j=new XMLHttpRequest;return j.open("GET",O,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),R=(O,j,oe)=>{var Re=new XMLHttpRequest;Re.open("GET",O,!0),Re.responseType="arraybuffer",Re.onload=()=>{if(Re.status==200||Re.status==0&&Re.response){j(Re.response);return}oe()},Re.onerror=oe,Re.send(null)}),_=O=>document.title=O);S&&typeof performance=="undefined"&&(global.performance=eS().performance);var U=console.log.bind(console),G=console.warn.bind(console);S&&(U=O=>W.writeSync(1,O+` -`),G=O=>W.writeSync(2,O+` -`));var q=d.print||U,H=d.printErr||G;Object.assign(d,g),g=null,d.arguments&&(y=d.arguments),d.thisProgram&&(x=d.thisProgram),d.quit&&(A=d.quit);var B=4,Z=Atomics.load,X=Atomics.store,re=Atomics.compareExchange,ee;d.wasmBinary&&(ee=d.wasmBinary);var he=d.noExitRuntime||!0;typeof WebAssembly!="object"&&Ts("no native wasm support detected");var ie,ye,Se=!1,Ne;function Be(O,j){O||Ts(j)}var qe=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function pt(O,j,oe){for(var Re=j+oe,He=j;O[He]&&!(He>=Re);)++He;if(He-j>16&&O.buffer&&qe)return qe.decode(O.buffer instanceof SharedArrayBuffer?O.slice(j,He):O.subarray(j,He));for(var Ve="";j>10,56320|pn&1023)}}return Ve}function ot(O,j){return O?pt(i(),O,j):""}function at(O,j,oe,Re){if(!(Re>0))return 0;for(var He=oe,Ve=oe+Re-1,fe=0;fe=55296&&Ce<=57343){var It=O.charCodeAt(++fe);Ce=65536+((Ce&1023)<<10)|It&1023}if(Ce<=127){if(oe>=Ve)break;j[oe++]=Ce}else if(Ce<=2047){if(oe+1>=Ve)break;j[oe++]=192|Ce>>6,j[oe++]=128|Ce&63}else if(Ce<=65535){if(oe+2>=Ve)break;j[oe++]=224|Ce>>12,j[oe++]=128|Ce>>6&63,j[oe++]=128|Ce&63}else{if(oe+3>=Ve)break;j[oe++]=240|Ce>>18,j[oe++]=128|Ce>>12&63,j[oe++]=128|Ce>>6&63,j[oe++]=128|Ce&63}}return j[oe]=0,oe-He}function nt(O,j,oe){return at(O,i(),j,oe)}var Ge,ht,Ha,Ot,ln,sa,Fa,un,Oa;C&&(Ge=d.buffer);function dt(O){Ge=O,d.HEAP8=ht=new Int8Array(O),d.HEAP16=Ot=new Int16Array(O),d.HEAP32=sa=new Int32Array(O),d.HEAPU8=Ha=new Uint8Array(O),d.HEAPU16=ln=new Uint16Array(O),d.HEAPU32=Fa=new Uint32Array(O),d.HEAPF32=un=new Float32Array(O),d.HEAPF64=Oa=new Float64Array(O)}var Da=d.INITIAL_MEMORY||16777216;if(C)ie=d.wasmMemory,Ge=d.buffer;else if(d.wasmMemory)ie=d.wasmMemory;else if(ie=new WebAssembly.Memory({initial:Da/65536,maximum:32768,shared:!0}),!(ie.buffer instanceof SharedArrayBuffer))throw H("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),S&&H("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");ie&&(Ge=ie.buffer),Da=Ge.byteLength,dt(Ge);var ja,dr=[],Wo=[],Un=[],$u=!1;function kn(){return he}function $r(){if(d.preRun)for(typeof d.preRun=="function"&&(d.preRun=[d.preRun]);d.preRun.length;)L0(d.preRun.shift());Pu(dr)}function Xt(){$u=!0,!C&&Pu(Wo)}function Pp(){if(!C){if(d.postRun)for(typeof d.postRun=="function"&&(d.postRun=[d.postRun]);d.postRun.length;)v5(d.postRun.shift());Pu(Un)}}function L0(O){dr.unshift(O)}function B0(O){Wo.unshift(O)}function v5(O){Un.unshift(O)}var _r=0,Vo=null,pr=null;function W0(O){_r++,d.monitorRunDependencies&&d.monitorRunDependencies(_r)}function Fp(O){if(_r--,d.monitorRunDependencies&&d.monitorRunDependencies(_r),_r==0&&(Vo!==null&&(clearInterval(Vo),Vo=null),pr)){var j=pr;pr=null,j()}}function Ts(O){d.onAbort&&d.onAbort(O),O="Aborted("+O+")",H(O),Se=!0,Ne=1,O+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(O);throw f(j),j}var V0="data:application/octet-stream;base64,";function Op(O){return O.startsWith(V0)}function Uo(O){return O.startsWith("file://")}var ha;ha="tfjs-backend-wasm-threaded-simd.wasm",Op(ha)||(ha=$(ha));function Dp(O){try{if(O==ha&&ee)return new Uint8Array(ee);if(I)return I(O);throw"both async and sync fetching of the wasm failed"}catch(j){Ts(j)}}function U0(){if(!ee&&(b||k)){if(typeof fetch=="function"&&!Uo(ha))return fetch(ha,{credentials:"same-origin"}).then(function(O){if(!O.ok)throw"failed to load wasm binary file at '"+ha+"'";return O.arrayBuffer()}).catch(function(){return Dp(ha)});if(R)return new Promise(function(O,j){R(ha,function(oe){O(new Uint8Array(oe))},j)})}return Promise.resolve().then(function(){return Dp(ha)})}function G0(){var O={env:Zp,wasi_snapshot_preview1:Zp};function j(fe,Ce){var It=fe.exports;if(d.asm=It,Q0(d.asm._emscripten_tls_init),ja=d.asm.__indirect_function_table,B0(d.asm.__wasm_call_ctors),ye=Ce,!C){var pn=We.unusedWorkers.length;We.unusedWorkers.forEach(function(hr){We.loadWasmModuleToWorker(hr,function(){--pn||Fp("wasm-instantiate")})})}}C||W0("wasm-instantiate");function oe(fe){j(fe.instance,fe.module)}function Re(fe){return U0().then(function(Ce){return WebAssembly.instantiate(Ce,O)}).then(function(Ce){return Ce}).then(fe,function(Ce){H("failed to asynchronously prepare wasm: "+Ce),Ts(Ce)})}function He(){return!ee&&typeof WebAssembly.instantiateStreaming=="function"&&!Op(ha)&&!Uo(ha)&&!S&&typeof fetch=="function"?fetch(ha,{credentials:"same-origin"}).then(function(fe){var Ce=WebAssembly.instantiateStreaming(fe,O);return Ce.then(oe,function(It){return H("wasm streaming compile failed: "+It),H("falling back to ArrayBuffer instantiation"),Re(oe)})}):Re(oe)}if(d.instantiateWasm)try{var Ve=d.instantiateWasm(O,j);return Ve}catch(fe){H("Module.instantiateWasm callback failed with error: "+fe),f(fe)}return He().catch(f),{}}var k5,w5,zp={};function Cs(O){this.name="ExitStatus",this.message="Program terminated with exit("+O+")",this.status=O}function H0(O){var j=We.pthreads[O];delete We.pthreads[O],j.terminate(),Sm(O),We.runningWorkers.splice(We.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function j0(O){var j=We.pthreads[O];j.postMessage({cmd:"cancel"})}function _u(O){var j=We.pthreads[O];Be(j),We.returnWorkerToPool(j)}function q0(O){var j=We.getNewWorker();if(!j)return 6;We.runningWorkers.push(j),We.pthreads[O.pthread_ptr]=j,j.pthread_ptr=O.pthread_ptr;var oe={cmd:"run",start_routine:O.startRoutine,arg:O.arg,pthread_ptr:O.pthread_ptr};return j.runPthread=()=>{S&&j.ref(),j.postMessage(oe,O.transferList),delete j.runPthread},j.loaded&&j.runPthread(),0}var Lp={varargs:void 0,get:function(){Lp.varargs+=4;var O=l()[Lp.varargs-4>>2];return O},getStr:function(O){var j=ot(O);return j}};function Bp(O){if(C)return Pr(1,1,O);Ne=O,kn()||(We.terminateAllThreads(),d.onExit&&d.onExit(O),Se=!0),A(O,new Cs(O))}function X0(O,j){if(Ne=O,!j&&C)throw Vp(O),"unwind";Bp(O)}var Wp=X0;function K0(O){if(O instanceof Cs||O=="unwind")return Ne;A(1,O)}var We={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){C?We.initWorker():We.initMainThread()},initMainThread:function(){for(var O=8;O--;)We.allocateUnusedWorker()},initWorker:function(){he=!1},setExitStatus:function(O){Ne=O},terminateAllThreads:function(){for(var O of Object.values(We.pthreads))We.returnWorkerToPool(O);for(var O of We.unusedWorkers)O.terminate();We.unusedWorkers=[]},returnWorkerToPool:function(O){var j=O.pthread_ptr;delete We.pthreads[j],We.unusedWorkers.push(O),We.runningWorkers.splice(We.runningWorkers.indexOf(O),1),O.pthread_ptr=0,S&&O.unref(),Sm(j)},receiveObjectTransfer:function(O){},threadInitTLS:function(){We.tlsInitFunctions.forEach(O=>O())},loadWasmModuleToWorker:function(O,j){O.onmessage=Ve=>{var fe=Ve.data,Ce=fe.cmd;if(O.pthread_ptr&&(We.currentProxiedOperationCallerThread=O.pthread_ptr),fe.targetThread&&fe.targetThread!=ac()){var It=We.pthreads[fe.targetThread];It?It.postMessage(fe,fe.transferList):H('Internal error! Worker sent a message "'+Ce+'" to target pthread '+fe.targetThread+", but that thread no longer exists!"),We.currentProxiedOperationCallerThread=void 0;return}Ce==="processProxyingQueue"?Fu(fe.queue):Ce==="spawnThread"?q0(fe):Ce==="cleanupThread"?_u(fe.thread):Ce==="killThread"?H0(fe.thread):Ce==="cancelThread"?j0(fe.thread):Ce==="loaded"?(O.loaded=!0,S&&O.unref(),j&&j(O),O.runPthread&&O.runPthread()):Ce==="print"?q("Thread "+fe.threadId+": "+fe.text):Ce==="printErr"?H("Thread "+fe.threadId+": "+fe.text):Ce==="alert"?alert("Thread "+fe.threadId+": "+fe.text):fe.target==="setimmediate"?O.postMessage(fe):Ce==="callHandler"?d[fe.handler](...fe.args):Ce&&H("worker sent an unknown command "+Ce),We.currentProxiedOperationCallerThread=void 0},O.onerror=Ve=>{var fe="worker sent an error!";throw H(fe+" "+Ve.filename+":"+Ve.lineno+": "+Ve.message),Ve},S&&(O.on("message",function(Ve){O.onmessage({data:Ve})}),O.on("error",function(Ve){O.onerror(Ve)}),O.on("detachedExit",function(){}));var oe=[],Re=["onExit","onAbort","print","printErr"];for(var He of Re)d.hasOwnProperty(He)&&oe.push(He);O.postMessage({cmd:"load",handlers:oe,urlOrBlob:d.mainScriptUrlOrBlob||n,wasmMemory:ie,wasmModule:ye})},allocateUnusedWorker:function(){var O,j=$("tfjs-backend-wasm-threaded-simd.worker.js");O=new Worker(j),We.unusedWorkers.push(O)},getNewWorker:function(){return We.unusedWorkers.length==0&&(We.allocateUnusedWorker(),We.loadWasmModuleToWorker(We.unusedWorkers[0])),We.unusedWorkers.pop()}};d.PThread=We;function Pu(O){for(;O.length>0;)O.shift()(d)}function Z0(){var O=ac(),j=l()[O+52>>2],oe=l()[O+56>>2],Re=j-oe;E5(j,Re),nc(j)}d.establishStackSpace=Z0;function Vp(O){if(C)return Pr(2,0,O);try{Wp(O)}catch(j){K0(j)}}var Go=[];function Y0(O){var j=Go[O];return j||(O>=Go.length&&(Go.length=O+1),Go[O]=j=ja.get(O)),j}function J0(O,j){var oe=Y0(O)(j);kn()?We.setExitStatus(oe):N5(oe)}d.invokeEntryPoint=J0;function Q0(O){We.tlsInitFunctions.push(O)}function ef(O){S5(O,!k,1,!b),We.threadInitTLS()}function tf(O){C?postMessage({cmd:"cleanupThread",thread:O}):_u(O)}function Up(O,j,oe,Re){return C?Pr(3,1,O,j,oe,Re):Gp(O,j,oe,Re)}function Gp(O,j,oe,Re){if(typeof SharedArrayBuffer=="undefined")return H("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var He=[],Ve=0;if(C&&(He.length===0||Ve))return Up(O,j,oe,Re);if(Ve)return Ve;var fe={startRoutine:oe,pthread_ptr:O,arg:Re,transferList:He};return C?(fe.cmd="spawnThread",postMessage(fe,He),0):q0(fe)}function af(){return 65536}var nf=!0;function rf(){return nf}function Fu(O){Atomics.store(l(),O>>2,1),ac()&&C5(O),Atomics.compareExchange(l(),O>>2,1,0)}d.executeNotifiedProxyingQueue=Fu;function sf(O,j,oe,Re){if(O==j)setTimeout(()=>Fu(Re));else if(C)postMessage({targetThread:O,cmd:"processProxyingQueue",queue:Re});else{var He=We.pthreads[O];if(!He)return;He.postMessage({cmd:"processProxyingQueue",queue:Re})}return 1}function of(O,j,oe){return-1}function lf(){Ts("")}function Ns(O){Ns.shown||(Ns.shown={}),Ns.shown[O]||(Ns.shown[O]=1,S&&(O="warning: "+O),H(O))}function uf(){S||k||Ns("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function df(){return Date.now()}function Hp(){return 2147483648}function pf(){return Hp()}var Ou;S?Ou=()=>{var O=process.hrtime();return O[0]*1e3+O[1]/1e6}:Ou=()=>performance.timeOrigin+performance.now();function cf(O,j,oe){i().copyWithin(O,j,j+oe)}function hf(){return S?tS().cpus().length:navigator.hardwareConcurrency}function ff(O){var j=Tm(),oe=O();return nc(j),oe}function Pr(O,j){var oe=arguments.length-2,Re=arguments;return ff(()=>{for(var He=oe,Ve=rc(He*8),fe=Ve>>3,Ce=0;Ce>3,He=0;He>>16),dt(ie.buffer),1}catch(j){}}function yf(O){var j=i().length;if(O=O>>>0,O<=j)return!1;var oe=Hp();if(O>oe)return!1;let Re=(It,pn)=>It+(pn-It%pn)%pn;for(var He=1;He<=4;He*=2){var Ve=j*(1+.2/He);Ve=Math.min(Ve,O+100663296);var fe=Math.min(oe,Re(Math.max(O,Ve),65536)),Ce=gf(fe);if(Ce)return!0}return!1}function xf(){throw"unwind"}function jp(O){return C?Pr(4,1,O):52}function qp(O,j,oe,Re,He){return C?Pr(5,1,O,j,oe,Re,He):70}var Af=[null,[],[]];function bf(O,j){var oe=Af[O];j===0||j===10?((O===1?q:H)(pt(oe,0)),oe.length=0):oe.push(j)}function Xp(O,j,oe,Re){if(C)return Pr(6,1,O,j,oe,Re);for(var He=0,Ve=0;Ve>2],Ce=u()[j+4>>2];j+=8;for(var It=0;It>2]=He,0}function Kp(O){var j=d["_"+O];return j}function vf(O,j){s().set(O,j)}function kf(O,j,oe,Re,He){var Ve={string:cn=>{var Xo=0;if(cn!=null&&cn!==0){var $5=(cn.length<<2)+1;Xo=rc($5),nt(cn,Xo,$5)}return Xo},array:cn=>{var Xo=rc(cn.length);return vf(cn,Xo),Xo}};function fe(cn){return j==="string"?ot(cn):j==="boolean"?!!cn:cn}var Ce=Kp(O),It=[],pn=0;if(Re)for(var hr=0;hrfe==="number"||fe==="boolean"),Ve=j!=="string";return Ve&&He&&!Re?Kp(O):function(){return kf(O,j,oe,arguments,Re)}}We.init();var If=[null,Bp,Vp,Up,jp,qp,Xp],Zp={__emscripten_init_main_thread_js:ef,__emscripten_thread_cleanup:tf,__pthread_create_js:Gp,_emscripten_default_pthread_stack_size:af,_emscripten_get_now_is_monotonic:rf,_emscripten_notify_task_queue:sf,_emscripten_set_offscreencanvas_size:of,abort:lf,emscripten_check_blocking_allowed:uf,emscripten_date_now:df,emscripten_get_heap_max:pf,emscripten_get_now:Ou,emscripten_memcpy_big:cf,emscripten_num_logical_cores:hf,emscripten_receive_on_main_thread_js:mf,emscripten_resize_heap:yf,emscripten_unwind_to_js_event_loop:xf,exit:Wp,fd_close:jp,fd_seek:qp,fd_write:Xp,memory:ie||d.wasmMemory},I5=G0(),Sf=d.___wasm_call_ctors=function(){return(Sf=d.___wasm_call_ctors=d.asm.__wasm_call_ctors).apply(null,arguments)},Tf=d._init=function(){return(Tf=d._init=d.asm.init).apply(null,arguments)},Cf=d._init_with_threads_count=function(){return(Cf=d._init_with_threads_count=d.asm.init_with_threads_count).apply(null,arguments)},Nf=d._get_threads_count=function(){return(Nf=d._get_threads_count=d.asm.get_threads_count).apply(null,arguments)},Ef=d._register_tensor=function(){return(Ef=d._register_tensor=d.asm.register_tensor).apply(null,arguments)},Rf=d._dispose_data=function(){return(Rf=d._dispose_data=d.asm.dispose_data).apply(null,arguments)},Mf=d._dispose=function(){return(Mf=d._dispose=d.asm.dispose).apply(null,arguments)},$f=d._Abs=function(){return($f=d._Abs=d.asm.Abs).apply(null,arguments)},_f=d._Add=function(){return(_f=d._Add=d.asm.Add).apply(null,arguments)},Pf=d._AddN=function(){return(Pf=d._AddN=d.asm.AddN).apply(null,arguments)},Ff=d._All=function(){return(Ff=d._All=d.asm.All).apply(null,arguments)},Of=d._Any=function(){return(Of=d._Any=d.asm.Any).apply(null,arguments)},Df=d._ArgMax=function(){return(Df=d._ArgMax=d.asm.ArgMax).apply(null,arguments)},zf=d._AvgPool=function(){return(zf=d._AvgPool=d.asm.AvgPool).apply(null,arguments)},Lf=d._BatchMatMul=function(){return(Lf=d._BatchMatMul=d.asm.BatchMatMul).apply(null,arguments)},Bf=d._Ceil=function(){return(Bf=d._Ceil=d.asm.Ceil).apply(null,arguments)},Wf=d._ClipByValue=function(){return(Wf=d._ClipByValue=d.asm.ClipByValue).apply(null,arguments)},Vf=d._Conv2D=function(){return(Vf=d._Conv2D=d.asm.Conv2D).apply(null,arguments)},Uf=d._Conv2DBackpropInput=function(){return(Uf=d._Conv2DBackpropInput=d.asm.Conv2DBackpropInput).apply(null,arguments)},Gf=d._Cos=function(){return(Gf=d._Cos=d.asm.Cos).apply(null,arguments)},Hf=d._Cosh=function(){return(Hf=d._Cosh=d.asm.Cosh).apply(null,arguments)},jf=d._CropAndResize=function(){return(jf=d._CropAndResize=d.asm.CropAndResize).apply(null,arguments)},qf=d._Cumprod=function(){return(qf=d._Cumprod=d.asm.Cumprod).apply(null,arguments)},Xf=d._Cumsum=function(){return(Xf=d._Cumsum=d.asm.Cumsum).apply(null,arguments)},Kf=d._DepthToSpace=function(){return(Kf=d._DepthToSpace=d.asm.DepthToSpace).apply(null,arguments)},Zf=d._DepthwiseConv2dNative=function(){return(Zf=d._DepthwiseConv2dNative=d.asm.DepthwiseConv2dNative).apply(null,arguments)},Yf=d._Elu=function(){return(Yf=d._Elu=d.asm.Elu).apply(null,arguments)},Jf=d._Equal=function(){return(Jf=d._Equal=d.asm.Equal).apply(null,arguments)},Qf=d._Exp=function(){return(Qf=d._Exp=d.asm.Exp).apply(null,arguments)},em=d._FlipLeftRight=function(){return(em=d._FlipLeftRight=d.asm.FlipLeftRight).apply(null,arguments)},tm=d._Floor=function(){return(tm=d._Floor=d.asm.Floor).apply(null,arguments)},am=d._FloorDiv=function(){return(am=d._FloorDiv=d.asm.FloorDiv).apply(null,arguments)},nm=d._FusedBatchNorm=function(){return(nm=d._FusedBatchNorm=d.asm.FusedBatchNorm).apply(null,arguments)},rm=d._FusedConv2D=function(){return(rm=d._FusedConv2D=d.asm.FusedConv2D).apply(null,arguments)},sm=d._FusedDepthwiseConv2D=function(){return(sm=d._FusedDepthwiseConv2D=d.asm.FusedDepthwiseConv2D).apply(null,arguments)},im=d._Gather=function(){return(im=d._Gather=d.asm.Gather).apply(null,arguments)},om=d._GatherNd=function(){return(om=d._GatherNd=d.asm.GatherNd).apply(null,arguments)},lm=d._Greater=function(){return(lm=d._Greater=d.asm.Greater).apply(null,arguments)},um=d._GreaterEqual=function(){return(um=d._GreaterEqual=d.asm.GreaterEqual).apply(null,arguments)},dm=d._IsNan=function(){return(dm=d._IsNan=d.asm.IsNan).apply(null,arguments)},pm=d._LeakyRelu=function(){return(pm=d._LeakyRelu=d.asm.LeakyRelu).apply(null,arguments)},cm=d._Less=function(){return(cm=d._Less=d.asm.Less).apply(null,arguments)},hm=d._LessEqual=function(){return(hm=d._LessEqual=d.asm.LessEqual).apply(null,arguments)},fm=d._Log=function(){return(fm=d._Log=d.asm.Log).apply(null,arguments)},mm=d._LogicalAnd=function(){return(mm=d._LogicalAnd=d.asm.LogicalAnd).apply(null,arguments)},gm=d._LogicalNot=function(){return(gm=d._LogicalNot=d.asm.LogicalNot).apply(null,arguments)},ym=d._LogicalOr=function(){return(ym=d._LogicalOr=d.asm.LogicalOr).apply(null,arguments)},xm=d._LogicalXor=function(){return(xm=d._LogicalXor=d.asm.LogicalXor).apply(null,arguments)},Am=d._Max=function(){return(Am=d._Max=d.asm.Max).apply(null,arguments)},bm=d._MaxPool=function(){return(bm=d._MaxPool=d.asm.MaxPool).apply(null,arguments)},Yp=d._Maximum=function(){return(Yp=d._Maximum=d.asm.Maximum).apply(null,arguments)},Jp=d._Mean=function(){return(Jp=d._Mean=d.asm.Mean).apply(null,arguments)},zu=d._Min=function(){return(zu=d._Min=d.asm.Min).apply(null,arguments)},vm=d._Minimum=function(){return(vm=d._Minimum=d.asm.Minimum).apply(null,arguments)},km=d._MirrorPad=function(){return(km=d._MirrorPad=d.asm.MirrorPad).apply(null,arguments)},Ho=d._Multiply=function(){return(Ho=d._Multiply=d.asm.Multiply).apply(null,arguments)},Qp=d._Neg=function(){return(Qp=d._Neg=d.asm.Neg).apply(null,arguments)},jo=d._NonMaxSuppressionV3=function(){return(jo=d._NonMaxSuppressionV3=d.asm.NonMaxSuppressionV3).apply(null,arguments)},qo=d._NonMaxSuppressionV4=function(){return(qo=d._NonMaxSuppressionV4=d.asm.NonMaxSuppressionV4).apply(null,arguments)},wm=d._NonMaxSuppressionV5=function(){return(wm=d._NonMaxSuppressionV5=d.asm.NonMaxSuppressionV5).apply(null,arguments)},Y=d._NotEqual=function(){return(Y=d._NotEqual=d.asm.NotEqual).apply(null,arguments)},se=d._OneHot=function(){return(se=d._OneHot=d.asm.OneHot).apply(null,arguments)},Ee=d._PadV2=function(){return(Ee=d._PadV2=d.asm.PadV2).apply(null,arguments)},Je=d._Pow=function(){return(Je=d._Pow=d.asm.Pow).apply(null,arguments)},At=d._Prelu=function(){return(At=d._Prelu=d.asm.Prelu).apply(null,arguments)},bt=d._Prod=function(){return(bt=d._Prod=d.asm.Prod).apply(null,arguments)},Ye=d._RealDiv=function(){return(Ye=d._RealDiv=d.asm.RealDiv).apply(null,arguments)},Ke=d._Reciprocal=function(){return(Ke=d._Reciprocal=d.asm.Reciprocal).apply(null,arguments)},Dt=d._Relu=function(){return(Dt=d._Relu=d.asm.Relu).apply(null,arguments)},dn=d._Relu6=function(){return(dn=d._Relu6=d.asm.Relu6).apply(null,arguments)},cr=d._ResizeBilinear=function(){return(cr=d._ResizeBilinear=d.asm.ResizeBilinear).apply(null,arguments)},ec=d._ResizeNearestNeighbor=function(){return(ec=d._ResizeNearestNeighbor=d.asm.ResizeNearestNeighbor).apply(null,arguments)},Lu=d._Reverse=function(){return(Lu=d._Reverse=d.asm.Reverse).apply(null,arguments)},Im=d._RotateWithOffset=function(){return(Im=d._RotateWithOffset=d.asm.RotateWithOffset).apply(null,arguments)},za=d._Round=function(){return(za=d._Round=d.asm.Round).apply(null,arguments)},Fr=d._Rsqrt=function(){return(Fr=d._Rsqrt=d.asm.Rsqrt).apply(null,arguments)},tc=d._ScatterNd=function(){return(tc=d._ScatterNd=d.asm.ScatterNd).apply(null,arguments)},Yw=d._SelectV2=function(){return(Yw=d._SelectV2=d.asm.SelectV2).apply(null,arguments)},Jw=d._Sigmoid=function(){return(Jw=d._Sigmoid=d.asm.Sigmoid).apply(null,arguments)},Qw=d._Sin=function(){return(Qw=d._Sin=d.asm.Sin).apply(null,arguments)},eI=d._Softmax=function(){return(eI=d._Softmax=d.asm.Softmax).apply(null,arguments)},tI=d._SparseFillEmptyRows=function(){return(tI=d._SparseFillEmptyRows=d.asm.SparseFillEmptyRows).apply(null,arguments)},aI=d._SparseReshape=function(){return(aI=d._SparseReshape=d.asm.SparseReshape).apply(null,arguments)},nI=d._SparseSegmentReduction=function(){return(nI=d._SparseSegmentReduction=d.asm.SparseSegmentReduction).apply(null,arguments)},rI=d._Sqrt=function(){return(rI=d._Sqrt=d.asm.Sqrt).apply(null,arguments)},sI=d._Square=function(){return(sI=d._Square=d.asm.Square).apply(null,arguments)},iI=d._SquaredDifference=function(){return(iI=d._SquaredDifference=d.asm.SquaredDifference).apply(null,arguments)},oI=d._Step=function(){return(oI=d._Step=d.asm.Step).apply(null,arguments)},lI=d._StridedSlice=function(){return(lI=d._StridedSlice=d.asm.StridedSlice).apply(null,arguments)},uI=d._Sub=function(){return(uI=d._Sub=d.asm.Sub).apply(null,arguments)},dI=d._Sum=function(){return(dI=d._Sum=d.asm.Sum).apply(null,arguments)},pI=d._Tan=function(){return(pI=d._Tan=d.asm.Tan).apply(null,arguments)},cI=d._Tanh=function(){return(cI=d._Tanh=d.asm.Tanh).apply(null,arguments)},hI=d._Tile=function(){return(hI=d._Tile=d.asm.Tile).apply(null,arguments)},fI=d._TopK=function(){return(fI=d._TopK=d.asm.TopK).apply(null,arguments)},mI=d._Transform=function(){return(mI=d._Transform=d.asm.Transform).apply(null,arguments)},gI=d._Transpose=function(){return(gI=d._Transpose=d.asm.Transpose).apply(null,arguments)},yI=d.__FusedMatMul=function(){return(yI=d.__FusedMatMul=d.asm._FusedMatMul).apply(null,arguments)},xI=d._malloc=function(){return(xI=d._malloc=d.asm.malloc).apply(null,arguments)},AI=d._free=function(){return(AI=d._free=d.asm.free).apply(null,arguments)},bI=d.__emscripten_tls_init=function(){return(bI=d.__emscripten_tls_init=d.asm._emscripten_tls_init).apply(null,arguments)},ac=d._pthread_self=function(){return(ac=d._pthread_self=d.asm.pthread_self).apply(null,arguments)},vI=d.___errno_location=function(){return(vI=d.___errno_location=d.asm.__errno_location).apply(null,arguments)},S5=d.__emscripten_thread_init=function(){return(S5=d.__emscripten_thread_init=d.asm._emscripten_thread_init).apply(null,arguments)},kI=d.__emscripten_thread_crashed=function(){return(kI=d.__emscripten_thread_crashed=d.asm._emscripten_thread_crashed).apply(null,arguments)},wI=d._emscripten_main_thread_process_queued_calls=function(){return(wI=d._emscripten_main_thread_process_queued_calls=d.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},II=d._emscripten_main_browser_thread_id=function(){return(II=d._emscripten_main_browser_thread_id=d.asm.emscripten_main_browser_thread_id).apply(null,arguments)},T5=d._emscripten_run_in_main_runtime_thread_js=function(){return(T5=d._emscripten_run_in_main_runtime_thread_js=d.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},SI=d._emscripten_dispatch_to_thread_=function(){return(SI=d._emscripten_dispatch_to_thread_=d.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},C5=d.__emscripten_proxy_execute_task_queue=function(){return(C5=d.__emscripten_proxy_execute_task_queue=d.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},Sm=d.__emscripten_thread_free_data=function(){return(Sm=d.__emscripten_thread_free_data=d.asm._emscripten_thread_free_data).apply(null,arguments)},N5=d.__emscripten_thread_exit=function(){return(N5=d.__emscripten_thread_exit=d.asm._emscripten_thread_exit).apply(null,arguments)},E5=d._emscripten_stack_set_limits=function(){return(E5=d._emscripten_stack_set_limits=d.asm.emscripten_stack_set_limits).apply(null,arguments)},Tm=d.stackSave=function(){return(Tm=d.stackSave=d.asm.stackSave).apply(null,arguments)},nc=d.stackRestore=function(){return(nc=d.stackRestore=d.asm.stackRestore).apply(null,arguments)},rc=d.stackAlloc=function(){return(rc=d.stackAlloc=d.asm.stackAlloc).apply(null,arguments)},TI=d.dynCall_iijjiiii=function(){return(TI=d.dynCall_iijjiiii=d.asm.dynCall_iijjiiii).apply(null,arguments)},CI=d.dynCall_jiji=function(){return(CI=d.dynCall_jiji=d.asm.dynCall_jiji).apply(null,arguments)};d.keepRuntimeAlive=kn,d.wasmMemory=ie,d.cwrap=wf,d.ExitStatus=Cs,d.PThread=We;var sc;pr=function O(){sc||R5(),sc||(pr=O)};function R5(O){if(O=O||y,_r>0)return;if(C){h(d),Xt(),startWorker(d);return}if($r(),_r>0)return;function j(){sc||(sc=!0,d.calledRun=!0,!Se&&(Xt(),h(d),d.onRuntimeInitialized&&d.onRuntimeInitialized(),Pp()))}d.setStatus?(d.setStatus("Running..."),setTimeout(function(){setTimeout(function(){d.setStatus("")},1),j()},1)):j()}if(d.preInit)for(typeof d.preInit=="function"&&(d.preInit=[d.preInit]);d.preInit.length>0;)d.preInit.pop()();R5();var ic;m&&(ic={uncaughtException:process.listeners("uncaughtException").filter(function(O){return!m.uncaughtException.indexOf(O)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(O){return!m.unhandledRejection.indexOf(O)>-1})});var oc;if(typeof WasmBackendModule!="undefined")oc=WasmBackendModule;else if(typeof r!="undefined")oc=r;else throw new Error("Could not find wasm module in post.js");if(ic){var NI=oc._dispose;oc._dispose=function(){NI(),ic.uncaughtException.forEach(function(O){process.removeListener("uncaughtException",O)}),ic.unhandledRejection.forEach(function(O){process.removeListener("unhandledRejection",O)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=a:typeof define=="function"&&define.amd?define([],function(){return a}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=a)}),nS=qt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" -");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),rS=qt((e,t)=>{var a=(()=>{var n=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(n=n||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(Y,se){i=Y,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],c="./this.program",d=(Y,se)=>{throw se},h=typeof window=="object",f=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function y(Y){return s.locateFile?s.locateFile(Y,g):g+Y}var x,A,b,k;function S(Y){Y instanceof Vo||M("exiting due to exception: "+Y)}if(m){var C=ex(),N=tx();f?g=N.dirname(g)+"/":g=__dirname+"/",x=(Y,se)=>(Y=$r(Y)?new URL(Y):N.normalize(Y),C.readFileSync(Y,se?void 0:"utf8")),b=Y=>{var se=x(Y,!0);return se.buffer||(se=new Uint8Array(se)),se},A=(Y,se,Ee)=>{Y=$r(Y)?new URL(Y):N.normalize(Y),C.readFile(Y,function(Je,At){Je?Ee(Je):se(At.buffer)})},process.argv.length>1&&(c=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(Y){if(!(Y instanceof Vo))throw Y}),process.on("unhandledRejection",function(Y){throw Y}),d=(Y,se)=>{if(Ha())throw process.exitCode=Y,se;S(se),process.exit(Y)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||f)&&(f?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),n&&(g=n),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",x=Y=>{var se=new XMLHttpRequest;return se.open("GET",Y,!1),se.send(null),se.responseText},f&&(b=Y=>{var se=new XMLHttpRequest;return se.open("GET",Y,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),A=(Y,se,Ee)=>{var Je=new XMLHttpRequest;Je.open("GET",Y,!0),Je.responseType="arraybuffer",Je.onload=()=>{if(Je.status==200||Je.status==0&&Je.response){se(Je.response);return}Ee()},Je.onerror=Ee,Je.send(null)},k=Y=>document.title=Y);var $=s.print||console.log.bind(console),M=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(c=s.thisProgram),s.quit&&(d=s.quit);var R=4,I;s.wasmBinary&&(I=s.wasmBinary);var _=s.noExitRuntime||!0;typeof WebAssembly!="object"&&Un("no native wasm support detected");var D,W=!1,P;function U(Y,se){Y||Un(se)}var G=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function q(Y,se,Ee){for(var Je=se+Ee,At=se;Y[At]&&!(At>=Je);)++At;if(At-se>16&&Y.buffer&&G)return G.decode(Y.subarray(se,At));for(var bt="";se>10,56320|dn&1023)}}return bt}function H(Y,se){return Y?q(ee,Y,se):""}function B(Y,se,Ee,Je){if(!(Je>0))return 0;for(var At=Ee,bt=Ee+Je-1,Ye=0;Ye=55296&&Ke<=57343){var Dt=Y.charCodeAt(++Ye);Ke=65536+((Ke&1023)<<10)|Dt&1023}if(Ke<=127){if(Ee>=bt)break;se[Ee++]=Ke}else if(Ke<=2047){if(Ee+1>=bt)break;se[Ee++]=192|Ke>>6,se[Ee++]=128|Ke&63}else if(Ke<=65535){if(Ee+2>=bt)break;se[Ee++]=224|Ke>>12,se[Ee++]=128|Ke>>6&63,se[Ee++]=128|Ke&63}else{if(Ee+3>=bt)break;se[Ee++]=240|Ke>>18,se[Ee++]=128|Ke>>12&63,se[Ee++]=128|Ke>>6&63,se[Ee++]=128|Ke&63}}return se[Ee]=0,Ee-At}function Z(Y,se,Ee){return B(Y,ee,se,Ee)}var X,re,ee,he,ie,ye,Se,Ne,Be;function qe(Y){X=Y,s.HEAP8=re=new Int8Array(Y),s.HEAP16=he=new Int16Array(Y),s.HEAP32=ye=new Int32Array(Y),s.HEAPU8=ee=new Uint8Array(Y),s.HEAPU16=ie=new Uint16Array(Y),s.HEAPU32=Se=new Uint32Array(Y),s.HEAPF32=Ne=new Float32Array(Y),s.HEAPF64=Be=new Float64Array(Y)}var pt=s.INITIAL_MEMORY||16777216,ot,at=[],nt=[],Ge=[],ht=!1;function Ha(){return _}function Ot(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Fa(s.preRun.shift());pr(at)}function ln(){ht=!0,pr(nt)}function sa(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Oa(s.postRun.shift());pr(Ge)}function Fa(Y){at.unshift(Y)}function un(Y){nt.unshift(Y)}function Oa(Y){Ge.unshift(Y)}var dt=0,Da=null,ja=null;function dr(Y){dt++,s.monitorRunDependencies&&s.monitorRunDependencies(dt)}function Wo(Y){if(dt--,s.monitorRunDependencies&&s.monitorRunDependencies(dt),dt==0&&(Da!==null&&(clearInterval(Da),Da=null),ja)){var se=ja;ja=null,se()}}function Un(Y){s.onAbort&&s.onAbort(Y),Y="Aborted("+Y+")",M(Y),W=!0,P=1,Y+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(Y);throw o(se),se}var $u="data:application/octet-stream;base64,";function kn(Y){return Y.startsWith($u)}function $r(Y){return Y.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",kn(Xt)||(Xt=y(Xt));function Pp(Y){try{if(Y==Xt&&I)return new Uint8Array(I);if(b)return b(Y);throw"both async and sync fetching of the wasm failed"}catch(se){Un(se)}}function L0(){if(!I&&(h||f)){if(typeof fetch=="function"&&!$r(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(Y){if(!Y.ok)throw"failed to load wasm binary file at '"+Xt+"'";return Y.arrayBuffer()}).catch(function(){return Pp(Xt)});if(A)return new Promise(function(Y,se){A(Xt,function(Ee){Y(new Uint8Array(Ee))},se)})}return Promise.resolve().then(function(){return Pp(Xt)})}function B0(){var Y={env:_u,wasi_snapshot_preview1:_u};function se(Ye,Ke){var Dt=Ye.exports;s.asm=Dt,D=s.asm.memory,qe(D.buffer),ot=s.asm.__indirect_function_table,un(s.asm.__wasm_call_ctors),Wo("wasm-instantiate")}dr("wasm-instantiate");function Ee(Ye){se(Ye.instance)}function Je(Ye){return L0().then(function(Ke){return WebAssembly.instantiate(Ke,Y)}).then(function(Ke){return Ke}).then(Ye,function(Ke){M("failed to asynchronously prepare wasm: "+Ke),Un(Ke)})}function At(){return!I&&typeof WebAssembly.instantiateStreaming=="function"&&!kn(Xt)&&!$r(Xt)&&!m&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Ye){var Ke=WebAssembly.instantiateStreaming(Ye,Y);return Ke.then(Ee,function(Dt){return M("wasm streaming compile failed: "+Dt),M("falling back to ArrayBuffer instantiation"),Je(Ee)})}):Je(Ee)}if(s.instantiateWasm)try{var bt=s.instantiateWasm(Y,se);return bt}catch(Ye){M("Module.instantiateWasm callback failed with error: "+Ye),o(Ye)}return At().catch(o),{}}var v5,_r;function Vo(Y){this.name="ExitStatus",this.message="Program terminated with exit("+Y+")",this.status=Y}function pr(Y){for(;Y.length>0;)Y.shift()(s)}function W0(){Un("")}function Fp(){return 2147483648}function Ts(){return Fp()}function V0(Y,se,Ee){ee.copyWithin(Y,se,se+Ee)}function Op(Y){try{return D.grow(Y-X.byteLength+65535>>>16),qe(D.buffer),1}catch(se){}}function Uo(Y){var se=ee.length;Y=Y>>>0;var Ee=Fp();if(Y>Ee)return!1;let Je=(Dt,dn)=>Dt+(dn-Dt%dn)%dn;for(var At=1;At<=4;At*=2){var bt=se*(1+.2/At);bt=Math.min(bt,Y+100663296);var Ye=Math.min(Ee,Je(Math.max(Y,bt),65536)),Ke=Op(Ye);if(Ke)return!0}return!1}var ha={varargs:void 0,get:function(){ha.varargs+=4;var Y=ye[ha.varargs-4>>2];return Y},getStr:function(Y){var se=H(Y);return se}};function Dp(Y){return 52}function U0(Y,se,Ee,Je,At){return 70}var G0=[null,[],[]];function k5(Y,se){var Ee=G0[Y];se===0||se===10?((Y===1?$:M)(q(Ee,0)),Ee.length=0):Ee.push(se)}function w5(Y,se,Ee,Je){for(var At=0,bt=0;bt>2],Ke=Se[se+4>>2];se+=8;for(var Dt=0;Dt>2]=At,0}function zp(Y){var se=s["_"+Y];return se}function Cs(Y,se){re.set(Y,se)}function H0(Y,se,Ee,Je,At){var bt={string:za=>{var Fr=0;if(za!=null&&za!==0){var tc=(za.length<<2)+1;Fr=zu(tc),Z(za,Fr,tc)}return Fr},array:za=>{var Fr=zu(za.length);return Cs(za,Fr),Fr}};function Ye(za){return se==="string"?H(za):se==="boolean"?!!za:za}var Ke=zp(Y),Dt=[],dn=0;if(Je)for(var cr=0;crYe==="number"||Ye==="boolean"),bt=se!=="string";return bt&&At&&!Je?zp(Y):function(){return H0(Y,se,Ee,arguments,Je)}}var _u={abort:W0,emscripten_get_heap_max:Ts,emscripten_memcpy_big:V0,emscripten_resize_heap:Uo,fd_close:Dp,fd_seek:U0,fd_write:w5},q0=B0(),Lp=s.___wasm_call_ctors=function(){return(Lp=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},Bp=s._init=function(){return(Bp=s._init=s.asm.init).apply(null,arguments)},X0=s._init_with_threads_count=function(){return(X0=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},Wp=s._get_threads_count=function(){return(Wp=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},K0=s._register_tensor=function(){return(K0=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},We=s._dispose_data=function(){return(We=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},Pu=s._dispose=function(){return(Pu=s._dispose=s.asm.dispose).apply(null,arguments)},Z0=s._Abs=function(){return(Z0=s._Abs=s.asm.Abs).apply(null,arguments)},Vp=s._Add=function(){return(Vp=s._Add=s.asm.Add).apply(null,arguments)},Go=s._AddN=function(){return(Go=s._AddN=s.asm.AddN).apply(null,arguments)},Y0=s._All=function(){return(Y0=s._All=s.asm.All).apply(null,arguments)},J0=s._Any=function(){return(J0=s._Any=s.asm.Any).apply(null,arguments)},Q0=s._ArgMax=function(){return(Q0=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},ef=s._AvgPool=function(){return(ef=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},tf=s._BatchMatMul=function(){return(tf=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Up=s._Ceil=function(){return(Up=s._Ceil=s.asm.Ceil).apply(null,arguments)},Gp=s._ClipByValue=function(){return(Gp=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},af=s._Conv2D=function(){return(af=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},nf=s._Conv2DBackpropInput=function(){return(nf=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},rf=s._Cos=function(){return(rf=s._Cos=s.asm.Cos).apply(null,arguments)},Fu=s._Cosh=function(){return(Fu=s._Cosh=s.asm.Cosh).apply(null,arguments)},sf=s._CropAndResize=function(){return(sf=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},of=s._Cumprod=function(){return(of=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},lf=s._Cumsum=function(){return(lf=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Ns=s._DepthToSpace=function(){return(Ns=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},uf=s._DepthwiseConv2dNative=function(){return(uf=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},df=s._Elu=function(){return(df=s._Elu=s.asm.Elu).apply(null,arguments)},Hp=s._Equal=function(){return(Hp=s._Equal=s.asm.Equal).apply(null,arguments)},pf=s._Exp=function(){return(pf=s._Exp=s.asm.Exp).apply(null,arguments)},Ou=s._FlipLeftRight=function(){return(Ou=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},cf=s._Floor=function(){return(cf=s._Floor=s.asm.Floor).apply(null,arguments)},hf=s._FloorDiv=function(){return(hf=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},ff=s._FusedBatchNorm=function(){return(ff=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Pr=s._FusedConv2D=function(){return(Pr=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},Du=s._FusedDepthwiseConv2D=function(){return(Du=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},mf=s._Gather=function(){return(mf=s._Gather=s.asm.Gather).apply(null,arguments)},gf=s._GatherNd=function(){return(gf=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},yf=s._Greater=function(){return(yf=s._Greater=s.asm.Greater).apply(null,arguments)},xf=s._GreaterEqual=function(){return(xf=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},jp=s._IsNan=function(){return(jp=s._IsNan=s.asm.IsNan).apply(null,arguments)},qp=s._LeakyRelu=function(){return(qp=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},Af=s._Less=function(){return(Af=s._Less=s.asm.Less).apply(null,arguments)},bf=s._LessEqual=function(){return(bf=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},Xp=s._Log=function(){return(Xp=s._Log=s.asm.Log).apply(null,arguments)},Kp=s._LogicalAnd=function(){return(Kp=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},vf=s._LogicalNot=function(){return(vf=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},kf=s._LogicalOr=function(){return(kf=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},wf=s._LogicalXor=function(){return(wf=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},If=s._Max=function(){return(If=s._Max=s.asm.Max).apply(null,arguments)},Zp=s._MaxPool=function(){return(Zp=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},I5=s._Maximum=function(){return(I5=s._Maximum=s.asm.Maximum).apply(null,arguments)},Sf=s._Mean=function(){return(Sf=s._Mean=s.asm.Mean).apply(null,arguments)},Tf=s._Min=function(){return(Tf=s._Min=s.asm.Min).apply(null,arguments)},Cf=s._Minimum=function(){return(Cf=s._Minimum=s.asm.Minimum).apply(null,arguments)},Nf=s._MirrorPad=function(){return(Nf=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},Ef=s._Multiply=function(){return(Ef=s._Multiply=s.asm.Multiply).apply(null,arguments)},Rf=s._Neg=function(){return(Rf=s._Neg=s.asm.Neg).apply(null,arguments)},Mf=s._NonMaxSuppressionV3=function(){return(Mf=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},$f=s._NonMaxSuppressionV4=function(){return($f=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},_f=s._NonMaxSuppressionV5=function(){return(_f=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},Pf=s._NotEqual=function(){return(Pf=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},Ff=s._OneHot=function(){return(Ff=s._OneHot=s.asm.OneHot).apply(null,arguments)},Of=s._PadV2=function(){return(Of=s._PadV2=s.asm.PadV2).apply(null,arguments)},Df=s._Pow=function(){return(Df=s._Pow=s.asm.Pow).apply(null,arguments)},zf=s._Prelu=function(){return(zf=s._Prelu=s.asm.Prelu).apply(null,arguments)},Lf=s._Prod=function(){return(Lf=s._Prod=s.asm.Prod).apply(null,arguments)},Bf=s._RealDiv=function(){return(Bf=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},Wf=s._Reciprocal=function(){return(Wf=s._Reciprocal=s.asm.Reciprocal).apply(null,arguments)},Vf=s._Relu=function(){return(Vf=s._Relu=s.asm.Relu).apply(null,arguments)},Uf=s._Relu6=function(){return(Uf=s._Relu6=s.asm.Relu6).apply(null,arguments)},Gf=s._ResizeBilinear=function(){return(Gf=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},Hf=s._ResizeNearestNeighbor=function(){return(Hf=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},jf=s._Reverse=function(){return(jf=s._Reverse=s.asm.Reverse).apply(null,arguments)},qf=s._RotateWithOffset=function(){return(qf=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},Xf=s._Round=function(){return(Xf=s._Round=s.asm.Round).apply(null,arguments)},Kf=s._Rsqrt=function(){return(Kf=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Zf=s._ScatterNd=function(){return(Zf=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Yf=s._SelectV2=function(){return(Yf=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Jf=s._Sigmoid=function(){return(Jf=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},Qf=s._Sin=function(){return(Qf=s._Sin=s.asm.Sin).apply(null,arguments)},em=s._Softmax=function(){return(em=s._Softmax=s.asm.Softmax).apply(null,arguments)},tm=s._SparseFillEmptyRows=function(){return(tm=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},am=s._SparseReshape=function(){return(am=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},nm=s._SparseSegmentReduction=function(){return(nm=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},rm=s._Sqrt=function(){return(rm=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},sm=s._Square=function(){return(sm=s._Square=s.asm.Square).apply(null,arguments)},im=s._SquaredDifference=function(){return(im=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},om=s._Step=function(){return(om=s._Step=s.asm.Step).apply(null,arguments)},lm=s._StridedSlice=function(){return(lm=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},um=s._Sub=function(){return(um=s._Sub=s.asm.Sub).apply(null,arguments)},dm=s._Sum=function(){return(dm=s._Sum=s.asm.Sum).apply(null,arguments)},pm=s._Tan=function(){return(pm=s._Tan=s.asm.Tan).apply(null,arguments)},cm=s._Tanh=function(){return(cm=s._Tanh=s.asm.Tanh).apply(null,arguments)},hm=s._Tile=function(){return(hm=s._Tile=s.asm.Tile).apply(null,arguments)},fm=s._TopK=function(){return(fm=s._TopK=s.asm.TopK).apply(null,arguments)},mm=s._Transform=function(){return(mm=s._Transform=s.asm.Transform).apply(null,arguments)},gm=s._Transpose=function(){return(gm=s._Transpose=s.asm.Transpose).apply(null,arguments)},ym=s.__FusedMatMul=function(){return(ym=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},xm=s._malloc=function(){return(xm=s._malloc=s.asm.malloc).apply(null,arguments)},Am=s._free=function(){return(Am=s._free=s.asm.free).apply(null,arguments)},bm=s.___errno_location=function(){return(bm=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},Yp=s.stackSave=function(){return(Yp=s.stackSave=s.asm.stackSave).apply(null,arguments)},Jp=s.stackRestore=function(){return(Jp=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},zu=s.stackAlloc=function(){return(zu=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},vm=s.dynCall_iijjiiii=function(){return(vm=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},km=s.dynCall_jiji=function(){return(km=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=j0;var Ho;ja=function Y(){Ho||Qp(),Ho||(ja=Y)};function Qp(Y){if(Y=Y||p,dt>0||(Ot(),dt>0))return;function se(){Ho||(Ho=!0,s.calledRun=!0,!W&&(ln(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),sa()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Qp();var jo;l&&(jo={uncaughtException:process.listeners("uncaughtException").filter(function(Y){return!l.uncaughtException.indexOf(Y)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(Y){return!l.unhandledRejection.indexOf(Y)>-1})});var qo;if(typeof r!="undefined")qo=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")qo=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(jo){var wm=qo._dispose;qo._dispose=function(){wm(),jo.uncaughtException.forEach(function(Y){process.removeListener("uncaughtException",Y)}),jo.unhandledRejection.forEach(function(Y){process.removeListener("unhandledRejection",Y)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=a:typeof define=="function"&&define.amd?define([],function(){return a}):typeof e=="object"&&(e.WasmBackendModule=a)}),kd=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},Al=class{refCount(e){return Xa("refCount")}incRef(e){return Xa("incRef")}timerAvailable(){return!0}time(e){return Xa("time")}read(e){return Xa("read")}readSync(e){return Xa("readSync")}readToGPU(e,t){return Xa("readToGPU")}numDataIds(){return Xa("numDataIds")}disposeData(e,t){return Xa("disposeData")}write(e,t,a){return Xa("write")}move(e,t,a,n,r){return Xa("move")}createTensorFromGPUData(e,t,a){return Xa("createTensorFromGPUData")}memory(){return Xa("memory")}floatPrecision(){return Xa("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Xa("dispose")}};function Xa(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function ax(e){let t=e.length,a=0;for(;t>0;)a=Math.random()*t|0,t--,Sc(e,t,a)}function sS(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let a=e.length,n=0;for(;a>0;)n=Math.random()*a|0,a--,Sc(e,a,n),Sc(t,a,n)}function ad(e,t,a){return Math.max(e,Math.min(t,a))}function iS(e){return e%2===0?e:e+1}function Sc(e,t,a){let n=e[t];e[t]=e[a],e[a]=n}function oS(e){let t=0;for(let a=0;aa+` Shapes ${e} and ${t} must match`)}function Xs(e){F(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function xt(e){if(e.length===0)return 1;let t=e[0];for(let a=1;a0,a,n){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(a!=null&&i>=a){s();return}n!=null?n(o,l):setTimeout(o,l)};o()})}function mS(e,t){let a=1,n=-1;for(let s=0;s=0)a*=e[s];else if(e[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==a)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(a===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%a!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${a}`);let r=e.slice();return r[n]=t/a,r}function wd(e,t){let a=t.length;return e=e==null?t.map((n,r)=>r):[].concat(e),F(e.every(n=>n>=-a&&n`All values in axis param must be in range [-${a}, ${a}) but got axis ${e}`),F(e.every(n=>il(n)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(n=>n<0?a+n:n)}function nx(e,t){let a=[],n=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:wd(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(a.push(e[o]),n.push(o)),s[i]<=o&&i++}e[o]!==1&&(a.push(e[o]),n.push(o))}return{newShape:a,keptDims:n}}function rx(e,t){let a=null;if(e==null||e==="float32")a=new Float32Array(t);else if(e==="int32")a=new Int32Array(t);else if(e==="bool")a=new Uint8Array(t);else throw new Error(`Unknown data type ${e}`);return a}function sx(e,t){let a=null;if(e==null||e==="float32")a=new Float32Array(t);else if(e==="int32")a=new Int32Array(t);else if(e==="bool")a=new Uint8Array(t);else if(e==="string")a=new Array(t);else throw new Error(`Unknown data type ${e}`);return a}function ix(e,t){for(let a=0;at+=a.length),t}function zr(e){return typeof e=="string"||e instanceof String}function ux(e){return typeof e=="boolean"}function dx(e){return typeof e=="number"}function Hc(e){return Array.isArray(e)?Hc(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":dx(e)?"float32":zr(e)?"string":ux(e)?"bool":"float32"}function Gr(e){return!!(e&&e.constructor&&e.call&&e.apply)}function Cc(e,t){for(let a=t;a=0;--n)a[n]=a[n+1]*e[n+1];return a}function px(e,t,a,n=!1){let r=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;il*u)*(n?2:1);for(let l=0;lr*s)*(a?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${a?" for a complex tensor":""}.`);return px(0,e,t,a)}function yS(e,t){if(Array.isArray(e))return e;if(t==="float32")return e instanceof Float32Array?e:new Float32Array(e);if(t==="int32")return e instanceof Int32Array?e:new Int32Array(e);if(t==="bool"||t==="string")return Uint8Array.from(new Int32Array(e));throw new Error(`Unknown dtype ${t}`)}function O2(e,t){let a=jc(e,t);for(let n=0;nn*r,1);if(t==null||t==="float32")return tl(e,new Float32Array(a));if(t==="int32")return tl(e,new Int32Array(a));if(t==="bool")return tl(e,new Uint8Array(a));throw new Error(`Unknown data type ${t}`)}function tn(e){e.forEach(t=>{F(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function AS(e,t,a){if(t===0)return 0;if(t===1)return e[0];let n=e[e.length-1];for(let r=0;r{let[a,n]=t.split(":");this.urlFlags[a]=wS(a,n)})}};function vS(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(a,...n)=>(kS(t,n[0],n[1]),n.join("="))),t}function kS(e,t,a){e[decodeURIComponent(t)]=decodeURIComponent(a||"")}function wS(e,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(`${+t}`===t)return+t;throw new Error(`Could not parse value flag value ${t} for flag ${e}.`)}function V(){return D2}var D2=null;function IS(e){D2=e}var Nm;function hx(){if(Nm==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");Nm=e}return Nm}function SS(){let e=hx();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function z2(e,t){let a=SS();if(a.has(e))return a.get(e);{let n=t();return a.set(e,n),a.get(e)}}var vl="Abs",kl="Acos",wl="Acosh",ts="Add",Ks="AddN",Zs="All",Ys="Any",Js="ArgMax",Id="ArgMin",Il="Asin",Sl="Asinh",Tl="Atan",Cl="Atanh",Nl="Atan2",Qs="AvgPool",Xc="AvgPoolGrad",Kc="AvgPool3D",L2="AvgPool3DGrad",ei="BatchMatMul",El="BatchToSpaceND",Sd="Bincount",TS="BroadcastTo",Zc="BroadcastArgs",ti="Cast",ai="Ceil",as="ClipByValue",Td="Complex",Yc="ComplexAbs",Rl="Concat",ni="Conv2D",Cd="Conv2DBackpropFilter",ri="Conv2DBackpropInput",Jc="Conv3D",B2="Conv3DBackpropFilterV2",Qc="Conv3DBackpropInputV2",si="Cos",ii="Cosh",oi="Cumprod",li="Cumsum",ui="CropAndResize",Nd="DenseBincount",di="DepthToSpace",pi="DepthwiseConv2dNative",eh="DepthwiseConv2dNativeBackpropFilter",th="DepthwiseConv2dNativeBackpropInput",Ed="Diag",Rd="Dilation2D",Lm="Dilation2DBackpropInput",Bm="Dilation2DBackpropFilter",ci="RealDiv",Md="Einsum",hi="Elu",W2="EluGrad",Ml="Erf",fi="Equal",mi="Exp",$l="ExpandDims",_l="Expm1",$d="FFT",Pl="Fill",gi="FlipLeftRight",yi="Floor",xi="FloorDiv",Ai="FusedBatchNorm",Fl="GatherV2",bi="GatherNd",vi="Greater",ki="GreaterEqual",wi="Identity",_d="IFFT",Pd="Imag",Ol="IsFinite",Dl="IsInf",Ii="IsNan",Si="LeakyRelu",Ti="Less",Ci="LessEqual",Fd="LinSpace",Ni="Log",zl="Log1p",Ei="LogicalAnd",Ri="LogicalNot",Mi="LogicalOr",fx="LogicalXor",CS="LogSoftmax",NS="LowerBound",Od="LRN",V2="LRNGrad",$i="Max",_i="Maximum",Pi="MaxPool",U2="MaxPoolGrad",ah="MaxPool3D",G2="MaxPool3DGrad",nh="MaxPoolWithArgmax",Fi="Mean",Oi="Min",Di="Minimum",zi="MirrorPad",Ll="Mod",rh="Multinomial",Li="Multiply",Bl="Neg",Bi="NotEqual",Wi="NonMaxSuppressionV3",Wl="NonMaxSuppressionV4",Vi="NonMaxSuppressionV5",Vl="OnesLike",Ui="OneHot",Ul="Pack",Gi="PadV2",ES="Pool",Hi="Pow",ji="Prelu",qi="Prod",sh="RaggedGather",ih="RaggedRange",oh="RaggedTensorToTensor",Gl="Range",Dd="Real",Xi="Reciprocal",Ki="Relu",Hl="Reshape",Zi="ResizeNearestNeighbor",H2="ResizeNearestNeighborGrad",Yi="ResizeBilinear",j2="ResizeBilinearGrad",Ji="Relu6",Qi="Reverse",eo="Round",to="Rsqrt",ao="ScatterNd",zd="SearchSorted",jl="Select",ql="Selu",Xl="Slice",no="Sin",Kl="Sinh",Zl="Sign",ro="Sigmoid",Yl="Softplus",so="Sqrt",io="Sum",Jl="SpaceToBatchND",Ql="SplitV",oo="Softmax",Ld="SparseFillEmptyRows",eu="SparseReshape",Bd="SparseSegmentMean",Wd="SparseSegmentSum",Vd="SparseToDense",lo="SquaredDifference",Ud="Square",uo="StridedSlice",tu="StringNGrams",Gd="StringSplit",Hd="StringToHashBucketFast",po="Sub",co="Tan",ho="Tanh",ns="Tile",fo="TopK",mo="Transform",Ar="Transpose",lh="Unique",au="Unpack",uh="UnsortedSegmentSum",RS="UpperBound",nu="ZerosLike",rs="Step",nd="FromPixels",go="RotateWithOffset",Hr="_FusedMatMul",jr="FusedConv2D",qr="FusedDepthwiseConv2D";function Dr(...e){V().getBool("IS_TEST")||V().getBool("PROD")||console.warn(...e)}function MS(...e){V().getBool("IS_TEST")||V().getBool("PROD")||console.log(...e)}var ol=z2("kernelRegistry",()=>new Map),rd=z2("gradRegistry",()=>new Map);function Nc(e,t){let a=q2(e,t);return ol.get(a)}function Wm(e){return rd.get(e)}function Zn(e){let t=ol.entries(),a=[];for(;;){let{done:n,value:r}=t.next();if(n)break;let[s,i]=r,[o]=s.split("_");o===e&&a.push(i)}return a}function yn(e){let{kernelName:t,backendName:a}=e,n=q2(t,a);ol.has(n)&&Dr(`The kernel '${t}' for backend '${a}' is already registered`),ol.set(n,e)}function $S(e){let{kernelName:t}=e;rd.has(t)&&V().getBool("DEBUG")&&Dr(`Overriding the gradient for '${t}'`),rd.set(t,e)}function _S(e,t){let a=q2(e,t);if(!ol.has(a))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);ol.delete(a)}function PS(e){if(!rd.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);rd.delete(e)}function FS(e,t){Zn(e).forEach(a=>{let n=Object.assign({},a,{backendName:t});yn(n)})}function q2(e,t){return`${t}_${e}`}var v={};Ze(v,{arraysEqual:()=>es,assert:()=>F,assertNonNegativeIntegerDimensions:()=>tn,assertNonNull:()=>Xs,assertShapesMatch:()=>Ca,bytesFromStringArray:()=>lx,bytesPerElement:()=>Tc,checkConversionForErrors:()=>ix,clamp:()=>ad,computeStrides:()=>bl,convertBackendValuesAndArrayBuffer:()=>yS,createScalarValue:()=>WS,createShuffledIndices:()=>hS,decodeString:()=>Ec,distSquared:()=>uS,encodeString:()=>qd,fetch:()=>US,fingerPrint64:()=>BS,flatten:()=>Xr,getArrayFromDType:()=>sx,getTypedArrayFromDType:()=>rx,hasEncodingLoss:()=>gS,hexToLong:()=>jd,indexToLoc:()=>bS,inferDtype:()=>Hc,inferFromImplicitShape:()=>mS,isBoolean:()=>ux,isFunction:()=>Gr,isInt:()=>il,isNumber:()=>dx,isPromise:()=>qc,isScalarShape:()=>dS,isString:()=>zr,isTypedArray:()=>ia,isValidDtype:()=>ox,locToIndex:()=>AS,makeOnesTypedArray:()=>O2,makeZerosNestedTypedArray:()=>xS,makeZerosTypedArray:()=>jc,nearestDivisor:()=>Cc,nearestLargerEven:()=>iS,now:()=>sd,parseAxisParam:()=>wd,randUniform:()=>lS,repeatedTry:()=>fS,rightPad:()=>Ju,shuffle:()=>ax,shuffleCombo:()=>sS,sizeFromShape:()=>xt,sizeToSquarishShape:()=>cS,squeezeShape:()=>nx,sum:()=>oS,swap:()=>Sc,tanh:()=>pS,toNestedArray:()=>tl,toTypedArray:()=>dh});var F5=xl(VI()),_s=F5.default||F5;function jd(e){return _s.fromString(e,!0,16)}var mx=jd("c3a5c85c97cb3127"),Ms=jd("b492b66fbe98f273"),ba=jd("9ae16a3b2f90404f");function Vm(e){return e.xor(e.shru(47))}function gx(e,t,a){let n=e.slice(t,t+a);return _s.fromBytes(Array.from(n),!0,!0)}function ft(e,t){return gx(e,t,8)}function O5(e,t){return gx(e,t,4)}function Kt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function Vr(e,t,a=jd("9ddfea08eb382d69")){let n=e.xor(t).mul(a);n=n.xor(n.shru(47));let r=t.xor(n).mul(a);return r=r.xor(r.shru(47)),r=r.mul(a),r}function OS(e,t,a,n,r,s){r=r.add(e),s=Kt(s.add(r).add(n),21);let i=r;return r=r.add(t),r=r.add(a),s=s.add(Kt(r,44)),[r.add(n),s.add(i)]}function uc(e,t,a,n){return OS(ft(e,t),ft(e,t+8),ft(e,t+16),ft(e,t+24),a,n)}function DS(e,t=e.length){if(t>=8){let a=ba.add(t*2),n=ft(e,0).add(ba),r=ft(e,t-8),s=Kt(r,37).mul(a).add(n),i=Kt(n,25).add(r).mul(a);return Vr(s,i,a)}if(t>=4){let a=ba.add(t*2),n=O5(e,0);return Vr(n.shl(3).add(t),O5(e,t-4),a)}if(t>0){let a=e[0],n=e[t>>1],r=e[t-1],s=a+(n<<8),i=t+(r<<2);return Vm(ba.mul(s).xor(mx.mul(i))).mul(ba)}return ba}function zS(e,t=e.length){let a=ba.add(t*2),n=ft(e,0).mul(Ms),r=ft(e,8),s=ft(e,t-8).mul(a),i=ft(e,t-16).mul(ba);return Vr(Kt(n.add(r),43).add(Kt(s,30)).add(i),n.add(Kt(r.add(ba),18)).add(s),a)}function LS(e,t=e.length){let a=ba.add(t*2),n=ft(e,0).mul(ba),r=ft(e,8),s=ft(e,t-8).mul(a),i=ft(e,t-16).mul(ba),o=Kt(n.add(r),43).add(Kt(s,30)).add(i),l=Vr(o,n.add(Kt(r.add(ba),18)).add(s),a),u=ft(e,16).mul(a),p=ft(e,24),c=o.add(ft(e,t-32)).mul(a),d=l.add(ft(e,t-24)).mul(a);return Vr(Kt(u.add(p),43).add(Kt(c,30)).add(d),u.add(Kt(p.add(n),18)).add(c),a)}function BS(e,t=e.length){let a=_s.fromNumber(81,!0);if(t<=32)return t<=16?DS(e,t):zS(e,t);if(t<=64)return LS(e,t);let n=a,r=a.mul(Ms).add(113),s=Vm(r.mul(ba).add(113)).mul(ba),i=[_s.UZERO,_s.UZERO],o=[_s.UZERO,_s.UZERO];n=n.mul(ba).add(ft(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do n=Kt(n.add(r).add(i[0]).add(ft(e,l+8)),37).mul(Ms),r=Kt(r.add(i[1]).add(ft(e,l+48)),42).mul(Ms),n=n.xor(o[1]),r=r.add(i[0]).add(ft(e,l+40)),s=Kt(s.add(o[0]),33).mul(Ms),i=uc(e,l,i[1].mul(Ms),n.add(o[0])),o=uc(e,l+32,s.add(o[1]),r.add(ft(e,l+16))),[s,n]=[n,s],l+=64;while(l!==u);let c=Ms.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),n=Kt(n.add(r).add(i[0]).add(ft(e,l+8)),37).mul(c),r=Kt(r.add(i[1]).add(ft(e,l+48)),42).mul(c),n=n.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(ft(e,l+40))),s=Kt(s.add(o[0]),33).mul(c),i=uc(e,l,i[1].mul(c),n.add(o[0])),o=uc(e,l+32,s.add(o[1]),r.add(ft(e,l+16))),[s,n]=[n,s],Vr(Vr(i[0],o[0],c).add(Vm(r).mul(mx)).add(s),Vr(i[1],o[1],c).add(n),c)}function WS(e,t){return t==="string"?qd(e):dh([e],t)}function VS(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function dh(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Xr(e)),V().getBool("DEBUG")&&ix(e,t),VS(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let a=new Uint8Array(e.length);for(let n=0;n{n=a()},s,i=sd();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of n)o.dataSync();s=Promise.resolve({kernelMs:sd()-i})}if(V().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{HS(u,l.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:a,timeMs:n,inputs:r,extraInfo:s}=e;a.forEach(i=>{Promise.all([i.data(),n,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function HS(e,t,a){if(t!=="float32")return!1;for(let n=0;n0?f:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${c} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function qS(e,t,a){let n={},r={};for(let l=0;ln[m.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[a.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let c=0;c=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=a(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!es(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let c=e[p.id];e[p.id]=n(c,u),c.dispose()}}}}var D5=20,Bu=3,Em=7;function KS(e,t,a,n){let r=bl(t),s=ZS(e,t,a,r),i=t.length,o=gc(e,t,a,r,s),l=["Tensor"];return n&&(l.push(` dtype: ${a}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` +"use strict";var Human=(()=>{var Oc=Object.defineProperty;var YS=Object.getOwnPropertyDescriptor;var ZS=Object.getOwnPropertyNames;var JS=Object.prototype.hasOwnProperty;var QS=(e,t,a)=>t in e?Oc(e,t,{enumerable:!0,configurable:!0,writable:!0,value:a}):e[t]=a;var yr=(e,t)=>{for(var a in t)Oc(e,a,{get:t[a],enumerable:!0})},eC=(e,t,a,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of ZS(t))!JS.call(e,r)&&r!==a&&Oc(e,r,{get:()=>t[r],enumerable:!(n=YS(t,r))||n.enumerable});return e};var tC=e=>eC(Oc({},"__esModule",{value:!0}),e);var he=(e,t,a)=>(QS(e,typeof t!="symbol"?t+"":t,a),a),C5=(e,t,a)=>{if(!t.has(e))throw TypeError("Cannot "+a)};var Xa=(e,t,a)=>(C5(e,t,"read from private field"),a?a.call(e):t.get(e)),qn=(e,t,a)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,a)},xr=(e,t,a,n)=>(C5(e,t,"write to private field"),n?n.call(e,a):t.set(e,a),a);var Y3e={};yr(Y3e,{Env:()=>Xp,Human:()=>h5,default:()=>h5,defaults:()=>Qo,draw:()=>v0,empty:()=>pr,env:()=>ne,match:()=>K0,models:()=>c5});var je={};yr(je,{Abs:()=>Zl,Acos:()=>Qs,Acosh:()=>ei,AdadeltaOptimizer:()=>O3,AdagradOptimizer:()=>z3,AdamOptimizer:()=>L3,AdamaxOptimizer:()=>W3,Add:()=>ns,AddN:()=>ti,All:()=>ai,Any:()=>ni,ArgMax:()=>Jl,ArgMin:()=>Ql,Asin:()=>ri,Asinh:()=>si,Atan:()=>ii,Atan2:()=>li,Atanh:()=>oi,AvgPool:()=>ui,AvgPool3D:()=>eu,AvgPool3DGrad:()=>ep,AvgPoolGrad:()=>kh,BackendWasm:()=>jw,BatchMatMul:()=>di,BatchToSpaceND:()=>tu,Bincount:()=>pi,BitwiseAnd:()=>Ih,BroadcastArgs:()=>au,BroadcastTo:()=>jC,Cast:()=>ci,Ceil:()=>hi,ClipByValue:()=>rs,Complex:()=>tp,ComplexAbs:()=>ap,Concat:()=>nu,Conv2D:()=>fi,Conv2DBackpropFilter:()=>np,Conv2DBackpropInput:()=>mi,Conv3D:()=>gi,Conv3DBackpropFilterV2:()=>ru,Conv3DBackpropInputV2:()=>yi,Cos:()=>xi,Cosh:()=>Ai,CropAndResize:()=>wi,Cumprod:()=>bi,Cumsum:()=>vi,DataStorage:()=>Zd,DenseBincount:()=>su,DepthToSpace:()=>ki,DepthwiseConv2dNative:()=>Ii,DepthwiseConv2dNativeBackpropFilter:()=>rp,DepthwiseConv2dNativeBackpropInput:()=>sp,Diag:()=>iu,Dilation2D:()=>Si,Dilation2DBackpropFilter:()=>Pl,Dilation2DBackpropInput:()=>Dl,ENV:()=>W1,Einsum:()=>ip,Elu:()=>Ti,EluGrad:()=>ou,Environment:()=>sA,Equal:()=>Ni,Erf:()=>lu,Exp:()=>Ri,ExpandDims:()=>uu,Expm1:()=>Ei,FFT:()=>op,Fill:()=>du,FlipLeftRight:()=>Mi,Floor:()=>Fi,FloorDiv:()=>_i,FromPixels:()=>Ed,FusedBatchNorm:()=>$i,FusedConv2D:()=>Kr,FusedDepthwiseConv2D:()=>Yr,GPGPUContext:()=>_l,GatherNd:()=>Di,GatherV2:()=>pu,GraphModel:()=>Lp,Greater:()=>Pi,GreaterEqual:()=>Oi,IFFT:()=>lp,Identity:()=>zi,Imag:()=>up,IsFinite:()=>Li,IsInf:()=>Wi,IsNan:()=>Bi,KernelBackend:()=>Kl,LRN:()=>Zi,LRNGrad:()=>cu,LeakyRelu:()=>Vi,Less:()=>Ui,LessEqual:()=>Gi,LinSpace:()=>Hi,Log:()=>ji,Log1p:()=>qi,LogSoftmax:()=>qC,LogicalAnd:()=>Xi,LogicalNot:()=>Ki,LogicalOr:()=>Yi,LogicalXor:()=>oA,LowerBound:()=>XC,MathBackendCPU:()=>Xh,MathBackendWebGL:()=>Bu,MatrixBandPart:()=>KC,Max:()=>Ji,MaxPool:()=>eo,MaxPool3D:()=>hu,MaxPool3DGrad:()=>dp,MaxPoolGrad:()=>Sh,MaxPoolWithArgmax:()=>pp,Maximum:()=>Qi,Mean:()=>to,Min:()=>ao,Minimum:()=>no,MirrorPad:()=>ro,Mod:()=>fu,MomentumOptimizer:()=>B3,Multinomial:()=>so,Multiply:()=>io,Neg:()=>mu,NonMaxSuppressionV3:()=>lo,NonMaxSuppressionV4:()=>gu,NonMaxSuppressionV5:()=>uo,NotEqual:()=>oo,OP_SCOPE_SUFFIX:()=>G1,OneHot:()=>po,OnesLike:()=>yu,Optimizer:()=>ls,OptimizerConstructors:()=>y7,Pack:()=>xu,PadV2:()=>co,Pool:()=>YC,Pow:()=>ho,Prelu:()=>fo,Prod:()=>mo,RMSPropOptimizer:()=>V3,RaggedGather:()=>Ch,RaggedRange:()=>Th,RaggedTensorToTensor:()=>Nh,Range:()=>Au,Rank:()=>j2,Real:()=>cp,RealDiv:()=>Ci,Reciprocal:()=>go,Reduction:()=>ka,Relu:()=>yo,Relu6:()=>bo,Reshape:()=>bu,ResizeBilinear:()=>Ao,ResizeBilinearGrad:()=>wu,ResizeNearestNeighbor:()=>xo,ResizeNearestNeighborGrad:()=>vu,Reverse:()=>vo,RotateWithOffset:()=>Uo,Round:()=>wo,Rsqrt:()=>ko,SGDOptimizer:()=>qh,ScatterNd:()=>Io,SearchSorted:()=>Co,Select:()=>ku,Selu:()=>To,Sigmoid:()=>Eo,Sign:()=>Ro,Sin:()=>No,Sinh:()=>Su,Slice:()=>Iu,Softmax:()=>$o,Softplus:()=>Mo,SpaceToBatchND:()=>Cu,SparseFillEmptyRows:()=>hp,SparseReshape:()=>Nu,SparseSegmentMean:()=>fp,SparseSegmentSum:()=>mp,SparseToDense:()=>Do,SplitV:()=>Tu,Sqrt:()=>Fo,Square:()=>gp,SquaredDifference:()=>Po,StaticRegexReplace:()=>yp,Step:()=>is,StridedSlice:()=>Oo,StringNGrams:()=>Ru,StringSplit:()=>xp,StringToHashBucketFast:()=>Ap,Sub:()=>zo,Sum:()=>_o,Tan:()=>Lo,Tanh:()=>Wo,Tensor:()=>gt,TensorBuffer:()=>Wt,TensorScatterUpdate:()=>So,Tile:()=>ss,TopK:()=>Bo,Transform:()=>Vo,Transpose:()=>wr,Unique:()=>bp,Unpack:()=>Eu,UnsortedSegmentSum:()=>vp,UpperBound:()=>ZC,Variable:()=>_d,WebGPUBackend:()=>r0,ZerosLike:()=>Mu,_FusedMatMul:()=>Xr,abs:()=>Za,acos:()=>MA,acosh:()=>FA,add:()=>ke,addN:()=>Eh,all:()=>_A,any:()=>$A,argMax:()=>rr,argMin:()=>DA,asin:()=>PA,asinh:()=>OA,atan:()=>zA,atan2:()=>LA,atanh:()=>WA,avgPool:()=>Q1,avgPool3d:()=>GA,backend:()=>nr,backend_util:()=>S,basicLSTMCell:()=>HA,batchNorm:()=>Mp,batchNorm2d:()=>jA,batchNorm3d:()=>qA,batchNorm4d:()=>XA,batchToSpaceND:()=>e3,bincount:()=>t3,bitwiseAnd:()=>KA,booleanMaskAsync:()=>$4,broadcastArgs:()=>YA,broadcastTo:()=>Fl,broadcast_util:()=>Ho,browser:()=>Rr,buffer:()=>$e,cast:()=>Ke,ceil:()=>ZA,clipByValue:()=>JA,clone:()=>Sa,complex:()=>Sr,concat:()=>lt,concat1d:()=>QA,concat2d:()=>Fu,concat3d:()=>eb,concat4d:()=>tb,conv1d:()=>ab,conv2d:()=>Fp,conv2dTranspose:()=>rb,conv3d:()=>sb,conv3dTranspose:()=>ib,copyRegisteredKernels:()=>aT,cos:()=>ob,cosh:()=>lb,cosineWindow:()=>Vh,cumprod:()=>ub,cumsum:()=>db,customGrad:()=>tr,denseBincount:()=>pb,deprecationWarn:()=>Y1,depthToSpace:()=>cb,depthwiseConv2d:()=>Mh,deregisterOp:()=>YD,device_util:()=>Sp,diag:()=>hb,dilation2d:()=>fb,disableDeprecationWarnings:()=>cN,dispose:()=>J,disposeVariables:()=>hN,div:()=>ve,divNoNan:()=>gb,dot:()=>yb,dropout:()=>L4,einsum:()=>xb,elu:()=>r3,enableDebugMode:()=>pN,enableProdMode:()=>K1,enclosingPowerOfTwo:()=>$3,engine:()=>It,ensureShape:()=>Ab,env:()=>W,equal:()=>n3,erf:()=>bb,euclideanNorm:()=>kb,exp:()=>Qr,expandDims:()=>Ht,expm1:()=>Ib,eye:()=>i3,fft:()=>zh,fill:()=>sr,findBackend:()=>Z1,findBackendFactory:()=>xN,floor:()=>o3,floorDiv:()=>Rp,forceHalfFloat:()=>Uv,fused:()=>D3,gather:()=>l3,gatherND:()=>z4,gather_util:()=>H3,getBackend:()=>ha,getGradient:()=>G2,getKernel:()=>ah,getKernelsForBackend:()=>Jn,getThreadsCount:()=>Qie,gpgpu_util:()=>vv,grad:()=>xE,grads:()=>AE,greater:()=>Dp,greaterEqual:()=>u3,ifft:()=>Vd,imag:()=>Pp,image:()=>fe,inTopKAsync:()=>W4,io:()=>Kn,irfft:()=>N3,isFinite:()=>Sb,isInf:()=>Cb,isNaN:()=>Tb,keep:()=>zn,kernel_impls:()=>Nn,leakyRelu:()=>d3,less:()=>ih,lessEqual:()=>Fh,linalg:()=>X4,linspace:()=>Nb,loadGraphModel:()=>Y3,loadGraphModelSync:()=>aO,localResponseNormalization:()=>Rb,log:()=>Ll,log1p:()=>p3,logSigmoid:()=>Mb,logSoftmax:()=>Fb,logSumExp:()=>h3,logicalAnd:()=>Ld,logicalNot:()=>f3,logicalOr:()=>m3,logicalXor:()=>_b,losses:()=>K4,lowerBound:()=>$b,matMul:()=>pt,math:()=>i7,max:()=>ga,maxPool:()=>g3,maxPool3d:()=>Db,maxPoolWithArgmax:()=>Pb,maximum:()=>y3,mean:()=>Wd,memory:()=>fN,meshgrid:()=>Ob,min:()=>Jr,minimum:()=>Bd,mirrorPad:()=>zb,mod:()=>_u,moments:()=>Lb,movingAverage:()=>D4,mul:()=>te,multiRNNCell:()=>Wb,multinomial:()=>Bb,neg:()=>Ln,nextFrame:()=>x7,norm:()=>$p,notEqual:()=>x3,oneHot:()=>oh,ones:()=>Ur,onesLike:()=>Vb,op:()=>z,outerProduct:()=>Ub,pad:()=>ir,pad1d:()=>Gb,pad2d:()=>Hb,pad3d:()=>jb,pad4d:()=>qb,pool:()=>Xb,pow:()=>zl,prelu:()=>b3,print:()=>X1,prod:()=>Kb,profile:()=>mN,raggedGather:()=>Yb,raggedRange:()=>Zb,raggedTensorToTensor:()=>Jb,rand:()=>Qb,randomGamma:()=>n4,randomNormal:()=>S3,randomStandardNormal:()=>r4,randomUniform:()=>Dh,randomUniformInt:()=>s4,range:()=>Wl,ready:()=>Np,real:()=>Bl,reciprocal:()=>i4,registerBackend:()=>Go,registerGradient:()=>QC,registerKernel:()=>yn,registerOp:()=>KD,relu:()=>Op,relu6:()=>C3,removeBackend:()=>yN,reshape:()=>Q,reverse:()=>es,reverse1d:()=>o4,reverse2d:()=>l4,reverse3d:()=>u4,reverse4d:()=>d4,rfft:()=>Lh,round:()=>T3,rsqrt:()=>p4,scalar:()=>Ue,scatterND:()=>P4,scatter_util:()=>Wh,searchSorted:()=>$h,selu:()=>c4,separableConv2d:()=>h4,serialization:()=>J4,setBackend:()=>Tp,setPlatform:()=>AN,setThreadsCount:()=>Jie,setWasmPath:()=>Zie,setWasmPaths:()=>n0,setWebGLContext:()=>Zh,setdiff1dAsync:()=>f4,shared:()=>Kh,sigmoid:()=>Wa,sign:()=>m4,signal:()=>q4,sin:()=>g4,sinh:()=>y4,slice:()=>De,slice1d:()=>x4,slice2d:()=>A4,slice3d:()=>zp,slice4d:()=>Ph,slice_util:()=>Nt,softmax:()=>Oh,softplus:()=>c3,spaceToBatchND:()=>A3,sparse:()=>Y4,sparseToDense:()=>O4,spectral:()=>j4,split:()=>Ca,sqrt:()=>er,square:()=>Cn,squaredDifference:()=>R3,squeeze:()=>Oe,stack:()=>ca,step:()=>E3,stridedSlice:()=>b4,string:()=>Z4,sub:()=>ye,sum:()=>ot,sumOutType:()=>Ip,tan:()=>v4,tanh:()=>sh,tensor:()=>Ve,tensor1d:()=>jt,tensor2d:()=>Zn,tensor3d:()=>M3,tensor4d:()=>w4,tensor5d:()=>k4,tensor6d:()=>I4,tensorScatterUpdate:()=>C4,tensor_util:()=>cA,test_util:()=>e4,tidy:()=>Pe,tile:()=>jr,time:()=>gN,topk:()=>T4,train:()=>j$,transpose:()=>js,truncatedNormal:()=>N4,unique:()=>R4,unregisterGradient:()=>tT,unregisterKernel:()=>eT,unsortedSegmentSum:()=>E4,unstack:()=>Ra,upcastType:()=>pa,upperBound:()=>M4,util:()=>v,valueAndGrad:()=>bE,valueAndGrads:()=>vE,variable:()=>F4,variableGrads:()=>Eb,version:()=>qp,version_converter:()=>rO,version_core:()=>j3,version_cpu:()=>yz,version_wasm:()=>eoe,version_webgl:()=>nj,webgl:()=>rj,webgl_util:()=>H6,webgpu_util:()=>Kw,where:()=>kr,whereAsync:()=>_3,zeros:()=>gn,zerosLike:()=>Qa});var aC=Object.create,O1=Object.defineProperty,nC=Object.getOwnPropertyDescriptor,rC=Object.getOwnPropertyNames,sC=Object.getPrototypeOf,iC=Object.prototype.hasOwnProperty,qt=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Ze=(e,t)=>{for(var a in t)O1(e,a,{get:t[a],enumerable:!0})},oC=(e,t,a,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of rC(t))!iC.call(e,r)&&r!==a&&O1(e,r,{get:()=>t[r],enumerable:!(n=nC(t,r))||n.enumerable});return e},Xl=(e,t,a)=>(a=e!=null?aC(sC(e)):{},oC(t||!e||!e.__esModule?O1(a,"default",{value:e,enumerable:!0}):a,e)),lC=qt((e,t)=>{t.exports=n;var a=null;try{a=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(I){}function n(I,_,O){this.low=I|0,this.high=_|0,this.unsigned=!!O}n.prototype.__isLong__,Object.defineProperty(n.prototype,"__isLong__",{value:!0});function r(I){return(I&&I.__isLong__)===!0}n.isLong=r;var s={},i={};function o(I,_){var O,B,$;return _?(I>>>=0,($=0<=I&&I<256)&&(B=i[I],B)?B:(O=u(I,(I|0)<0?-1:0,!0),$&&(i[I]=O),O)):(I|=0,($=-128<=I&&I<128)&&(B=s[I],B)?B:(O=u(I,I<0?-1:0,!1),$&&(s[I]=O),O))}n.fromInt=o;function l(I,_){if(isNaN(I))return _?b:A;if(_){if(I<0)return b;if(I>=g)return M}else{if(I<=-y)return F;if(I+1>=y)return N}return I<0?l(-I,_).neg():u(I%m|0,I/m|0,_)}n.fromNumber=l;function u(I,_,O){return new n(I,_,O)}n.fromBits=u;var p=Math.pow;function c(I,_,O){if(I.length===0)throw Error("empty string");if(I==="NaN"||I==="Infinity"||I==="+Infinity"||I==="-Infinity")return A;if(typeof _=="number"?(O=_,_=!1):_=!!_,O=O||10,O<2||360)throw Error("interior hyphen");if(B===0)return c(I.substring(1),_,O).neg();for(var $=l(p(O,8)),U=A,G=0;G>>0:this.low},E.toNumber=function(){return this.unsigned?(this.high>>>0)*m+(this.low>>>0):this.high*m+(this.low>>>0)},E.toString=function(I){if(I=I||10,I<2||36>>0,V=H.toString(I);if(U=q,U.isZero())return V+G;for(;V.length<6;)V="0"+V;G=""+V+G}},E.getHighBits=function(){return this.high},E.getHighBitsUnsigned=function(){return this.high>>>0},E.getLowBits=function(){return this.low},E.getLowBitsUnsigned=function(){return this.low>>>0},E.getNumBitsAbs=function(){if(this.isNegative())return this.eq(F)?64:this.neg().getNumBitsAbs();for(var I=this.high!=0?this.high:this.low,_=31;_>0&&!(I&1<<_);_--);return this.high!=0?_+33:_+1},E.isZero=function(){return this.high===0&&this.low===0},E.eqz=E.isZero,E.isNegative=function(){return!this.unsigned&&this.high<0},E.isPositive=function(){return this.unsigned||this.high>=0},E.isOdd=function(){return(this.low&1)===1},E.isEven=function(){return(this.low&1)===0},E.equals=function(I){return r(I)||(I=d(I)),this.unsigned!==I.unsigned&&this.high>>>31===1&&I.high>>>31===1?!1:this.high===I.high&&this.low===I.low},E.eq=E.equals,E.notEquals=function(I){return!this.eq(I)},E.neq=E.notEquals,E.ne=E.notEquals,E.lessThan=function(I){return this.comp(I)<0},E.lt=E.lessThan,E.lessThanOrEqual=function(I){return this.comp(I)<=0},E.lte=E.lessThanOrEqual,E.le=E.lessThanOrEqual,E.greaterThan=function(I){return this.comp(I)>0},E.gt=E.greaterThan,E.greaterThanOrEqual=function(I){return this.comp(I)>=0},E.gte=E.greaterThanOrEqual,E.ge=E.greaterThanOrEqual,E.compare=function(I){if(r(I)||(I=d(I)),this.eq(I))return 0;var _=this.isNegative(),O=I.isNegative();return _&&!O?-1:!_&&O?1:this.unsigned?I.high>>>0>this.high>>>0||I.high===this.high&&I.low>>>0>this.low>>>0?-1:1:this.sub(I).isNegative()?-1:1},E.comp=E.compare,E.negate=function(){return!this.unsigned&&this.eq(F)?F:this.not().add(w)},E.neg=E.negate,E.add=function(I){r(I)||(I=d(I));var _=this.high>>>16,O=this.high&65535,B=this.low>>>16,$=this.low&65535,U=I.high>>>16,G=I.high&65535,q=I.low>>>16,H=I.low&65535,V=0,Z=0,X=0,re=0;return re+=$+H,X+=re>>>16,re&=65535,X+=B+q,Z+=X>>>16,X&=65535,Z+=O+G,V+=Z>>>16,Z&=65535,V+=_+U,V&=65535,u(X<<16|re,V<<16|Z,this.unsigned)},E.subtract=function(I){return r(I)||(I=d(I)),this.add(I.neg())},E.sub=E.subtract,E.multiply=function(I){if(this.isZero())return A;if(r(I)||(I=d(I)),a){var _=a.mul(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}if(I.isZero())return A;if(this.eq(F))return I.isOdd()?F:A;if(I.eq(F))return this.isOdd()?F:A;if(this.isNegative())return I.isNegative()?this.neg().mul(I.neg()):this.neg().mul(I).neg();if(I.isNegative())return this.mul(I.neg()).neg();if(this.lt(x)&&I.lt(x))return l(this.toNumber()*I.toNumber(),this.unsigned);var O=this.high>>>16,B=this.high&65535,$=this.low>>>16,U=this.low&65535,G=I.high>>>16,q=I.high&65535,H=I.low>>>16,V=I.low&65535,Z=0,X=0,re=0,ee=0;return ee+=U*V,re+=ee>>>16,ee&=65535,re+=$*V,X+=re>>>16,re&=65535,re+=U*H,X+=re>>>16,re&=65535,X+=B*V,Z+=X>>>16,X&=65535,X+=$*H,Z+=X>>>16,X&=65535,X+=U*q,Z+=X>>>16,X&=65535,Z+=O*V+B*H+$*q+U*G,Z&=65535,u(re<<16|ee,Z<<16|X,this.unsigned)},E.mul=E.multiply,E.divide=function(I){if(r(I)||(I=d(I)),I.isZero())throw Error("division by zero");if(a){if(!this.unsigned&&this.high===-2147483648&&I.low===-1&&I.high===-1)return this;var _=(this.unsigned?a.div_u:a.div_s)(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?b:A;var O,B,$;if(this.unsigned){if(I.unsigned||(I=I.toUnsigned()),I.gt(this))return b;if(I.gt(this.shru(1)))return C;$=b}else{if(this.eq(F)){if(I.eq(w)||I.eq(T))return F;if(I.eq(F))return w;var U=this.shr(1);return O=U.div(I).shl(1),O.eq(A)?I.isNegative()?w:T:(B=this.sub(I.mul(O)),$=O.add(B.div(I)),$)}else if(I.eq(F))return this.unsigned?b:A;if(this.isNegative())return I.isNegative()?this.neg().div(I.neg()):this.neg().div(I).neg();if(I.isNegative())return this.div(I.neg()).neg();$=A}for(B=this;B.gte(I);){O=Math.max(1,Math.floor(B.toNumber()/I.toNumber()));for(var G=Math.ceil(Math.log(O)/Math.LN2),q=G<=48?1:p(2,G-48),H=l(O),V=H.mul(I);V.isNegative()||V.gt(B);)O-=q,H=l(O,this.unsigned),V=H.mul(I);H.isZero()&&(H=w),$=$.add(H),B=B.sub(V)}return $},E.div=E.divide,E.modulo=function(I){if(r(I)||(I=d(I)),a){var _=(this.unsigned?a.rem_u:a.rem_s)(this.low,this.high,I.low,I.high);return u(_,a.get_high(),this.unsigned)}return this.sub(this.div(I).mul(I))},E.mod=E.modulo,E.rem=E.modulo,E.not=function(){return u(~this.low,~this.high,this.unsigned)},E.and=function(I){return r(I)||(I=d(I)),u(this.low&I.low,this.high&I.high,this.unsigned)},E.or=function(I){return r(I)||(I=d(I)),u(this.low|I.low,this.high|I.high,this.unsigned)},E.xor=function(I){return r(I)||(I=d(I)),u(this.low^I.low,this.high^I.high,this.unsigned)},E.shiftLeft=function(I){return r(I)&&(I=I.toInt()),(I&=63)===0?this:I<32?u(this.low<>>32-I,this.unsigned):u(0,this.low<>>I|this.high<<32-I,this.high>>I,this.unsigned):u(this.high>>I-32,this.high>=0?0:-1,this.unsigned)},E.shr=E.shiftRight,E.shiftRightUnsigned=function(I){if(r(I)&&(I=I.toInt()),I&=63,I===0)return this;var _=this.high;if(I<32){var O=this.low;return u(O>>>I|_<<32-I,_>>>I,this.unsigned)}else return I===32?u(_,0,this.unsigned):u(_>>>I-32,0,this.unsigned)},E.shru=E.shiftRightUnsigned,E.shr_u=E.shiftRightUnsigned,E.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},E.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},E.toBytes=function(I){return I?this.toBytesLE():this.toBytesBE()},E.toBytesLE=function(){var I=this.high,_=this.low;return[_&255,_>>>8&255,_>>>16&255,_>>>24,I&255,I>>>8&255,I>>>16&255,I>>>24]},E.toBytesBE=function(){var I=this.high,_=this.low;return[I>>>24,I>>>16&255,I>>>8&255,I&255,_>>>24,_>>>16&255,_>>>8&255,_&255]},n.fromBytes=function(I,_,O){return O?n.fromBytesLE(I,_):n.fromBytesBE(I,_)},n.fromBytesLE=function(I,_){return new n(I[0]|I[1]<<8|I[2]<<16|I[3]<<24,I[4]|I[5]<<8|I[6]<<16|I[7]<<24,_)},n.fromBytesBE=function(I,_){return new n(I[4]<<24|I[5]<<16|I[6]<<8|I[7],I[0]<<24|I[1]<<16|I[2]<<8|I[3],_)}}),uC=qt(()=>{}),dC=qt(()=>{}),pC=qt((e,t)=>{(function(a,n,r){function s(u){var p=this,c=l();p.next=function(){var d=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=d-(p.c=d|0)},p.c=1,p.s0=c(" "),p.s1=c(" "),p.s2=c(" "),p.s0-=c(u),p.s0<0&&(p.s0+=1),p.s1-=c(u),p.s1<0&&(p.s1+=1),p.s2-=c(u),p.s2<0&&(p.s2+=1),c=null}function i(u,p){return p.c=u.c,p.s0=u.s0,p.s1=u.s1,p.s2=u.s2,p}function o(u,p){var c=new s(u),d=p&&p.state,h=c.next;return h.int32=function(){return c.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,d&&(typeof d=="object"&&i(d,c),h.state=function(){return i(c,{})}),h}function l(){var u=4022871197,p=function(c){c=String(c);for(var d=0;d>>0,h-=u,h*=u,u=h>>>0,h-=u,u+=h*4294967296}return(u>>>0)*23283064365386963e-26};return p}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.alea=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),cC=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.x=0,u.y=0,u.z=0,u.w=0,u.next=function(){var d=u.x^u.x<<11;return u.x=u.y,u.y=u.z,u.z=u.w,u.w^=u.w>>>19^d^d>>>8},l===(l|0)?u.x=l:p+=l;for(var c=0;c>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xor128=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),hC=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.next=function(){var d=u.x^u.x>>>2;return u.x=u.y,u.y=u.z,u.z=u.w,u.w=u.v,(u.d=u.d+362437|0)+(u.v=u.v^u.v<<4^(d^d<<1))|0},u.x=0,u.y=0,u.z=0,u.w=0,u.v=0,l===(l|0)?u.x=l:p+=l;for(var c=0;c>>4),u.next()}function i(l,u){return u.x=l.x,u.y=l.y,u.z=l.z,u.w=l.w,u.v=l.v,u.d=l.d,u}function o(l,u){var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xorwow=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),fC=qt((e,t)=>{(function(a,n,r){function s(l){var u=this;u.next=function(){var c=u.x,d=u.i,h,f,m;return h=c[d],h^=h>>>7,f=h^h<<24,h=c[d+1&7],f^=h^h>>>10,h=c[d+3&7],f^=h^h>>>3,h=c[d+4&7],f^=h^h<<7,h=c[d+7&7],h=h^h<<13,f^=h^h<<9,c[d]=f,u.i=d+1&7,f};function p(c,d){var h,f,m=[];if(d===(d|0))f=m[0]=d;else for(d=""+d,h=0;h0;--h)c.next()}p(u,l)}function i(l,u){return u.x=l.x.slice(),u.i=l.i,u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(c.x&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xorshift7=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),mC=qt((e,t)=>{(function(a,n,r){function s(l){var u=this;u.next=function(){var c=u.w,d=u.X,h=u.i,f,m;return u.w=c=c+1640531527|0,m=d[h+34&127],f=d[h=h+1&127],m^=m<<13,f^=f<<17,m^=m>>>15,f^=f>>>12,m=d[h]=m^f,u.i=h,m+(c^c>>>16)|0};function p(c,d){var h,f,m,g,y,x=[],A=128;for(d===(d|0)?(f=d,d=null):(d=d+"\0",f=0,A=Math.max(A,d.length)),m=0,g=-32;g>>15,f^=f<<4,f^=f>>>13,g>=0&&(y=y+1640531527|0,h=x[g&127]^=f+y,m=h==0?m+1:0);for(m>=128&&(x[(d&&d.length||0)&127]=-1),m=127,g=4*128;g>0;--g)f=x[m+34&127],h=x[m=m+1&127],f^=f<<13,h^=h<<17,f^=f>>>15,h^=h>>>12,x[m]=f^h;c.w=y,c.X=x,c.i=m}p(u,l)}function i(l,u){return u.i=l.i,u.w=l.w,u.X=l.X.slice(),u}function o(l,u){l==null&&(l=+new Date);var p=new s(l),c=u&&u.state,d=function(){return(p.next()>>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(c.X&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.xor4096=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),gC=qt((e,t)=>{(function(a,n,r){function s(l){var u=this,p="";u.next=function(){var d=u.b,h=u.c,f=u.d,m=u.a;return d=d<<25^d>>>7^h,h=h-f|0,f=f<<24^f>>>8^m,m=m-d|0,u.b=d=d<<20^d>>>12^h,u.c=h=h-f|0,u.d=f<<16^h>>>16^m,u.a=m-d|0},u.a=0,u.b=0,u.c=-1640531527,u.d=1367130551,l===Math.floor(l)?(u.a=l/4294967296|0,u.b=l|0):p+=l;for(var c=0;c>>0)/4294967296};return d.double=function(){do var h=p.next()>>>11,f=(p.next()>>>0)/4294967296,m=(h+f)/(1<<21);while(m===0);return m},d.int32=p.next,d.quick=d,c&&(typeof c=="object"&&i(c,p),d.state=function(){return i(p,{})}),d}n&&n.exports?n.exports=o:r&&r.amd?r(function(){return o}):this.tychei=o})(e,typeof t=="object"&&t,typeof define=="function"&&define)}),yC=qt(()=>{}),xC=qt((e,t)=>{(function(a,n,r){var s=256,i=6,o=52,l="random",u=r.pow(s,i),p=r.pow(2,o),c=p*2,d=s-1,h;function f(w,C,T){var N=[];C=C==!0?{entropy:!0}:C||{};var M=x(y(C.entropy?[w,b(n)]:w==null?A():w,3),N),F=new m(N),E=function(){for(var I=F.g(i),_=u,O=0;I=c;)I/=2,_/=2,O>>>=1;return(I+O)/_};return E.int32=function(){return F.g(4)|0},E.quick=function(){return F.g(4)/4294967296},E.double=E,x(b(F.S),n),(C.pass||T||function(I,_,O,B){return B&&(B.S&&g(B,F),I.state=function(){return g(F,{})}),O?(r[l]=I,_):I})(E,M,"global"in C?C.global:this==r,C.state)}function m(w){var C,T=w.length,N=this,M=0,F=N.i=N.j=0,E=N.S=[];for(T||(w=[T++]);M{var a=pC(),n=cC(),r=hC(),s=fC(),i=mC(),o=gC(),l=xC();l.alea=a,l.xor128=n,l.xorwow=r,l.xorshift7=s,l.xor4096=i,l.tychei=o,t.exports=l}),qx=qt(()=>{}),Xx=qt(()=>{}),AC=qt(()=>{}),bC=qt(()=>{}),vC=qt(()=>{}),wC=qt((e,t)=>{var a=(()=>{var n=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(n=n||__filename),function(r){r=r||{};function s(){return ie.buffer!=Ge&&ht(ie.buffer),yt}function i(){return ie.buffer!=Ge&&ht(ie.buffer),ja}function o(){return ie.buffer!=Ge&&ht(ie.buffer),zt}function l(){return ie.buffer!=Ge&&ht(ie.buffer),la}function u(){return ie.buffer!=Ge&&ht(ie.buffer),Da}function p(){return ie.buffer!=Ge&&ht(ie.buffer),dn}function c(){return ie.buffer!=Ge&&ht(ie.buffer),Pa}var d=typeof r!="undefined"?r:{},h,f;d.ready=new Promise(function(P,j){h=P,f=j});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var g=Object.assign({},d),y=[],x="./this.program",A=(P,j)=>{throw j},b=typeof window=="object",w=typeof importScripts=="function",C=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",T=d.ENVIRONMENT_IS_PTHREAD||!1,N="";function M(P){return d.locateFile?d.locateFile(P,N):N+P}var F,E,I,_;function O(P){P instanceof Es||H("exiting due to exception: "+P)}if(C){var B=qx(),$=Xx();w?N=$.dirname(N)+"/":N=__dirname+"/",F=(j,oe)=>(j=yl(j)?new URL(j):$.normalize(j),B.readFileSync(j,oe?void 0:"utf8")),I=j=>{var oe=F(j,!0);return oe.buffer||(oe=new Uint8Array(oe)),oe},E=(j,oe,Me)=>{j=yl(j)?new URL(j):$.normalize(j),B.readFile(j,function(He,Be){He?Me(He):oe(Be.buffer)})},process.argv.length>1&&(x=process.argv[1].replace(/\\/g,"/")),y=process.argv.slice(2),process.on("uncaughtException",function(j){if(!(j instanceof Es))throw j}),process.on("unhandledRejection",function(j){throw j}),A=(j,oe)=>{if(wn())throw process.exitCode=j,oe;O(oe),process.exit(j)},d.inspect=function(){return"[Emscripten Module object]"};let P;try{P=AC()}catch(j){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),j}global.Worker=P.Worker}else(b||w)&&(w?N=self.location.href:typeof document!="undefined"&&document.currentScript&&(N=document.currentScript.src),typeof n!="undefined"&&n&&(N=n),N.indexOf("blob:")!==0?N=N.substr(0,N.replace(/[?#].*/,"").lastIndexOf("/")+1):N="",C||(F=P=>{var j=new XMLHttpRequest;return j.open("GET",P,!1),j.send(null),j.responseText},w&&(I=P=>{var j=new XMLHttpRequest;return j.open("GET",P,!1),j.responseType="arraybuffer",j.send(null),new Uint8Array(j.response)}),E=(P,j,oe)=>{var Me=new XMLHttpRequest;Me.open("GET",P,!0),Me.responseType="arraybuffer",Me.onload=()=>{if(Me.status==200||Me.status==0&&Me.response){j(Me.response);return}oe()},Me.onerror=oe,Me.send(null)}),_=P=>document.title=P);C&&typeof performance=="undefined"&&(global.performance=bC().performance);var U=console.log.bind(console),G=console.warn.bind(console);C&&(U=P=>B.writeSync(1,P+` +`),G=P=>B.writeSync(2,P+` +`));var q=d.print||U,H=d.printErr||G;Object.assign(d,g),g=null,d.arguments&&(y=d.arguments),d.thisProgram&&(x=d.thisProgram),d.quit&&(A=d.quit);var V=4,Z=Atomics.load,X=Atomics.store,re=Atomics.compareExchange,ee;d.wasmBinary&&(ee=d.wasmBinary);var me=d.noExitRuntime||!0;typeof WebAssembly!="object"&&Rs("no native wasm support detected");var ie,Ae,Ce=!1,Re;function Le(P,j){P||Rs(j)}var qe=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function mt(P,j,oe){j>>>=0;for(var Me=j+oe,He=j;P[He]&&!(He>=Me);)++He;if(He-j>16&&P.buffer&&qe)return qe.decode(P.buffer instanceof SharedArrayBuffer?P.slice(j,He):P.subarray(j,He));for(var Be="";j>10,56320|cn&1023)}}return Be}function dt(P,j){return P>>>=0,P?mt(i(),P,j):""}function st(P,j,oe,Me){if(oe>>>=0,!(Me>0))return 0;for(var He=oe,Be=oe+Me-1,ge=0;ge=55296&&Ne<=57343){var Tt=P.charCodeAt(++ge);Ne=65536+((Ne&1023)<<10)|Tt&1023}if(Ne<=127){if(oe>=Be)break;j[oe++>>>0]=Ne}else if(Ne<=2047){if(oe+1>=Be)break;j[oe++>>>0]=192|Ne>>6,j[oe++>>>0]=128|Ne&63}else if(Ne<=65535){if(oe+2>=Be)break;j[oe++>>>0]=224|Ne>>12,j[oe++>>>0]=128|Ne>>6&63,j[oe++>>>0]=128|Ne&63}else{if(oe+3>=Be)break;j[oe++>>>0]=240|Ne>>18,j[oe++>>>0]=128|Ne>>12&63,j[oe++>>>0]=128|Ne>>6&63,j[oe++>>>0]=128|Ne&63}}return j[oe>>>0]=0,oe-He}function it(P,j,oe){return st(P,i(),j,oe)}var Ge,yt,ja,zt,un,la,Da,dn,Pa;T&&(Ge=d.buffer);function ht(P){Ge=P,d.HEAP8=yt=new Int8Array(P),d.HEAP16=zt=new Int16Array(P),d.HEAP32=la=new Int32Array(P),d.HEAPU8=ja=new Uint8Array(P),d.HEAPU16=un=new Uint16Array(P),d.HEAPU32=Da=new Uint32Array(P),d.HEAPF32=dn=new Float32Array(P),d.HEAPF64=Pa=new Float64Array(P)}var Oa=d.INITIAL_MEMORY||16777216;if(T)ie=d.wasmMemory,Ge=d.buffer;else if(d.wasmMemory)ie=d.wasmMemory;else if(ie=new WebAssembly.Memory({initial:Oa/65536,maximum:65536,shared:!0}),!(ie.buffer instanceof SharedArrayBuffer))throw H("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),C&&H("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");ie&&(Ge=ie.buffer),Oa=Ge.byteLength,ht(Ge);var qa,hr=[],ml=[],jn=[],sd=!1;function wn(){return me}function Dr(){if(d.preRun)for(typeof d.preRun=="function"&&(d.preRun=[d.preRun]);d.preRun.length;)of(d.preRun.shift());od(hr)}function Kt(){sd=!0,!T&&od(ml)}function uc(){if(!T){if(d.postRun)for(typeof d.postRun=="function"&&(d.postRun=[d.postRun]);d.postRun.length;)f5(d.postRun.shift());od(jn)}}function of(P){hr.unshift(P)}function lf(P){ml.unshift(P)}function f5(P){jn.unshift(P)}var Pr=0,gl=null,fr=null;function uf(P){Pr++,d.monitorRunDependencies&&d.monitorRunDependencies(Pr)}function dc(P){if(Pr--,d.monitorRunDependencies&&d.monitorRunDependencies(Pr),Pr==0&&(gl!==null&&(clearInterval(gl),gl=null),fr)){var j=fr;fr=null,j()}}function Rs(P){d.onAbort&&d.onAbort(P),P="Aborted("+P+")",H(P),Ce=!0,Re=1,P+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(P);throw f(j),j}var df="data:application/octet-stream;base64,";function pc(P){return P.startsWith(df)}function yl(P){return P.startsWith("file://")}var ma;ma="tfjs-backend-wasm-threaded-simd.wasm",pc(ma)||(ma=M(ma));function cc(P){try{if(P==ma&&ee)return new Uint8Array(ee);if(I)return I(P);throw"both async and sync fetching of the wasm failed"}catch(j){Rs(j)}}function pf(){if(!ee&&(b||w)){if(typeof fetch=="function"&&!yl(ma))return fetch(ma,{credentials:"same-origin"}).then(function(P){if(!P.ok)throw"failed to load wasm binary file at '"+ma+"'";return P.arrayBuffer()}).catch(function(){return cc(ma)});if(E)return new Promise(function(P,j){E(ma,function(oe){P(new Uint8Array(oe))},j)})}return Promise.resolve().then(function(){return cc(ma)})}function cf(){var P={env:Sc,wasi_snapshot_preview1:Sc};function j(ge,Ne){var Tt=ge.exports;if(d.asm=Tt,vf(d.asm._emscripten_tls_init),qa=d.asm.__indirect_function_table,lf(d.asm.__wasm_call_ctors),Ae=Ne,!T){var cn=We.unusedWorkers.length;We.unusedWorkers.forEach(function(gr){We.loadWasmModuleToWorker(gr,function(){--cn||dc("wasm-instantiate")})})}}T||uf("wasm-instantiate");function oe(ge){j(ge.instance,ge.module)}function Me(ge){return pf().then(function(Ne){return WebAssembly.instantiate(Ne,P)}).then(function(Ne){return Ne}).then(ge,function(Ne){H("failed to asynchronously prepare wasm: "+Ne),Rs(Ne)})}function He(){return!ee&&typeof WebAssembly.instantiateStreaming=="function"&&!pc(ma)&&!yl(ma)&&!C&&typeof fetch=="function"?fetch(ma,{credentials:"same-origin"}).then(function(ge){var Ne=WebAssembly.instantiateStreaming(ge,P);return Ne.then(oe,function(Tt){return H("wasm streaming compile failed: "+Tt),H("falling back to ArrayBuffer instantiation"),Me(oe)})}):Me(oe)}if(d.instantiateWasm)try{var Be=d.instantiateWasm(P,j);return Be}catch(ge){H("Module.instantiateWasm callback failed with error: "+ge),f(ge)}return He().catch(f),{}}var m5,g5,hc={};function Es(P){this.name="ExitStatus",this.message="Program terminated with exit("+P+")",this.status=P}function hf(P){var j=We.pthreads[P];delete We.pthreads[P],j.terminate(),E2(P),We.runningWorkers.splice(We.runningWorkers.indexOf(j),1),j.pthread_ptr=0}function ff(P){var j=We.pthreads[P];j.postMessage({cmd:"cancel"})}function id(P){var j=We.pthreads[P];Le(j),We.returnWorkerToPool(j)}function mf(P){var j=We.getNewWorker();if(!j)return 6;We.runningWorkers.push(j),We.pthreads[P.pthread_ptr]=j,j.pthread_ptr=P.pthread_ptr;var oe={cmd:"run",start_routine:P.startRoutine,arg:P.arg,pthread_ptr:P.pthread_ptr};return j.runPthread=()=>{C&&j.ref(),j.postMessage(oe,P.transferList),delete j.runPthread},j.loaded&&j.runPthread(),0}var fc={varargs:void 0,get:function(){fc.varargs+=4;var P=l()[fc.varargs-4>>>2];return P},getStr:function(P){var j=dt(P);return j}};function mc(P){if(T)return Or(1,1,P);Re=P,wn()||(We.terminateAllThreads(),d.onExit&&d.onExit(P),Ce=!0),A(P,new Es(P))}function gf(P,j){if(Re=P,!j&&T)throw yc(P),"unwind";mc(P)}var gc=gf;function yf(P){if(P instanceof Es||P=="unwind")return Re;A(1,P)}var We={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){T?We.initWorker():We.initMainThread()},initMainThread:function(){for(var P=8;P--;)We.allocateUnusedWorker()},initWorker:function(){me=!1},setExitStatus:function(P){Re=P},terminateAllThreads:function(){for(var P of Object.values(We.pthreads))We.returnWorkerToPool(P);for(var P of We.unusedWorkers)P.terminate();We.unusedWorkers=[]},returnWorkerToPool:function(P){var j=P.pthread_ptr;delete We.pthreads[j],We.unusedWorkers.push(P),We.runningWorkers.splice(We.runningWorkers.indexOf(P),1),P.pthread_ptr=0,C&&P.unref(),E2(j)},receiveObjectTransfer:function(P){},threadInitTLS:function(){We.tlsInitFunctions.forEach(P=>P())},loadWasmModuleToWorker:function(P,j){P.onmessage=Be=>{var ge=Be.data,Ne=ge.cmd;if(P.pthread_ptr&&(We.currentProxiedOperationCallerThread=P.pthread_ptr),ge.targetThread&&ge.targetThread!=Mc()){var Tt=We.pthreads[ge.targetThread];Tt?Tt.postMessage(ge,ge.transferList):H('Internal error! Worker sent a message "'+Ne+'" to target pthread '+ge.targetThread+", but that thread no longer exists!"),We.currentProxiedOperationCallerThread=void 0;return}Ne==="processProxyingQueue"?ld(ge.queue):Ne==="spawnThread"?mf(ge):Ne==="cleanupThread"?id(ge.thread):Ne==="killThread"?hf(ge.thread):Ne==="cancelThread"?ff(ge.thread):Ne==="loaded"?(P.loaded=!0,C&&P.unref(),j&&j(P),P.runPthread&&P.runPthread()):Ne==="print"?q("Thread "+ge.threadId+": "+ge.text):Ne==="printErr"?H("Thread "+ge.threadId+": "+ge.text):Ne==="alert"?alert("Thread "+ge.threadId+": "+ge.text):ge.target==="setimmediate"?P.postMessage(ge):Ne==="callHandler"?d[ge.handler](...ge.args):Ne&&H("worker sent an unknown command "+Ne),We.currentProxiedOperationCallerThread=void 0},P.onerror=Be=>{var ge="worker sent an error!";throw H(ge+" "+Be.filename+":"+Be.lineno+": "+Be.message),Be},C&&(P.on("message",function(Be){P.onmessage({data:Be})}),P.on("error",function(Be){P.onerror(Be)}),P.on("detachedExit",function(){}));var oe=[],Me=["onExit","onAbort","print","printErr"];for(var He of Me)d.hasOwnProperty(He)&&oe.push(He);P.postMessage({cmd:"load",handlers:oe,urlOrBlob:d.mainScriptUrlOrBlob||n,wasmMemory:ie,wasmModule:Ae})},allocateUnusedWorker:function(){var P,j=M("tfjs-backend-wasm-threaded-simd.worker.js");P=new Worker(j),We.unusedWorkers.push(P)},getNewWorker:function(){return We.unusedWorkers.length==0&&(We.allocateUnusedWorker(),We.loadWasmModuleToWorker(We.unusedWorkers[0])),We.unusedWorkers.pop()}};d.PThread=We;function od(P){for(;P.length>0;)P.shift()(d)}function xf(){var P=Mc(),j=l()[P+52>>>2],oe=l()[P+56>>>2],Me=j-oe;w5(j,Me),Fc(j)}d.establishStackSpace=xf;function yc(P){if(T)return Or(2,0,P);try{gc(P)}catch(j){yf(j)}}var xl=[];function Af(P){var j=xl[P];return j||(P>=xl.length&&(xl.length=P+1),xl[P]=j=qa.get(P)),j}function bf(P,j){var oe=Af(P)(j);wn()?We.setExitStatus(oe):v5(oe)}d.invokeEntryPoint=bf;function vf(P){We.tlsInitFunctions.push(P)}function wf(P){x5(P,!w,1,!b),We.threadInitTLS()}function kf(P){T?postMessage({cmd:"cleanupThread",thread:P}):id(P)}function xc(P,j,oe,Me){return T?Or(3,1,P,j,oe,Me):Ac(P,j,oe,Me)}function Ac(P,j,oe,Me){if(typeof SharedArrayBuffer=="undefined")return H("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var He=[],Be=0;if(T&&(He.length===0||Be))return xc(P,j,oe,Me);if(Be)return Be;var ge={startRoutine:oe,pthread_ptr:P,arg:Me,transferList:He};return T?(ge.cmd="spawnThread",postMessage(ge,He),0):mf(ge)}function If(){return 65536}var Sf=!0;function Cf(){return Sf}function ld(P){Atomics.store(l(),P>>2,1),Mc()&&b5(P),Atomics.compareExchange(l(),P>>2,1,0)}d.executeNotifiedProxyingQueue=ld;function Tf(P,j,oe,Me){if(P==j)setTimeout(()=>ld(Me));else if(T)postMessage({targetThread:P,cmd:"processProxyingQueue",queue:Me});else{var He=We.pthreads[P];if(!He)return;He.postMessage({cmd:"processProxyingQueue",queue:Me})}return 1}function Nf(P,j,oe){return-1}function Rf(){Rs("")}function Ms(P){Ms.shown||(Ms.shown={}),Ms.shown[P]||(Ms.shown[P]=1,C&&(P="warning: "+P),H(P))}function Ef(){C||w||Ms("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Mf(){return Date.now()}function bc(){return 4294901760}function Ff(){return bc()}var ud;C?ud=()=>{var P=process.hrtime();return P[0]*1e3+P[1]/1e6}:ud=()=>performance.timeOrigin+performance.now();function _f(P,j,oe){i().copyWithin(P>>>0,j>>>0,j+oe>>>0)}function $f(){return C?vC().cpus().length:navigator.hardwareConcurrency}function Df(P){var j=M2(),oe=P();return Fc(j),oe}function Or(P,j){var oe=arguments.length-2,Me=arguments;return Df(()=>{for(var He=oe,Be=_c(He*8),ge=Be>>3,Ne=0;Ne>>0]=Tt}return A5(P,He,Be,j)})}var dd=[];function Pf(P,j,oe){dd.length=j;for(var Me=oe>>3,He=0;He>>0];var Be=P<0,ge=Be?hc[-P-1]:Hf[P];return ge.apply(null,dd)}function Of(P){try{return ie.grow(P-Ge.byteLength+65535>>>16),ht(ie.buffer),1}catch(j){}}function zf(P){var j=i().length;if(P=P>>>0,P<=j)return!1;var oe=bc();if(P>oe)return!1;let Me=(Tt,cn)=>Tt+(cn-Tt%cn)%cn;for(var He=1;He<=4;He*=2){var Be=j*(1+.2/He);Be=Math.min(Be,P+100663296);var ge=Math.min(oe,Me(Math.max(P,Be),65536)),Ne=Of(ge);if(Ne)return!0}return!1}function Lf(){throw"unwind"}function vc(P){return T?Or(4,1,P):52}function wc(P,j,oe,Me,He){return T?Or(5,1,P,j,oe,Me,He):70}var Wf=[null,[],[]];function Bf(P,j){var oe=Wf[P];j===0||j===10?((P===1?q:H)(mt(oe,0)),oe.length=0):oe.push(j)}function kc(P,j,oe,Me){if(T)return Or(6,1,P,j,oe,Me);for(var He=0,Be=0;Be>>2],Ne=u()[j+4>>>2];j+=8;for(var Tt=0;Tt>>0]);He+=Ne}return u()[Me>>>2]=He,0}function Ic(P){var j=d["_"+P];return j}function Vf(P,j){s().set(P,j>>>0)}function Uf(P,j,oe,Me,He){var Be={string:hn=>{var wl=0;if(hn!=null&&hn!==0){var S5=(hn.length<<2)+1;wl=_c(S5),it(hn,wl,S5)}return wl},array:hn=>{var wl=_c(hn.length);return Vf(hn,wl),wl}};function ge(hn){return j==="string"?dt(hn):j==="boolean"?!!hn:hn}var Ne=Ic(P),Tt=[],cn=0;if(Me)for(var gr=0;grge==="number"||ge==="boolean"),Be=j!=="string";return Be&&He&&!Me?Ic(P):function(){return Uf(P,j,oe,arguments,Me)}}We.init();var Hf=[null,mc,yc,xc,vc,wc,kc],Sc={__emscripten_init_main_thread_js:wf,__emscripten_thread_cleanup:kf,__pthread_create_js:Ac,_emscripten_default_pthread_stack_size:If,_emscripten_get_now_is_monotonic:Cf,_emscripten_notify_task_queue:Tf,_emscripten_set_offscreencanvas_size:Nf,abort:Rf,emscripten_check_blocking_allowed:Ef,emscripten_date_now:Mf,emscripten_get_heap_max:Ff,emscripten_get_now:ud,emscripten_memcpy_big:_f,emscripten_num_logical_cores:$f,emscripten_receive_on_main_thread_js:Pf,emscripten_resize_heap:zf,emscripten_unwind_to_js_event_loop:Lf,exit:gc,fd_close:vc,fd_seek:wc,fd_write:kc,memory:ie||d.wasmMemory},y5=cf(),jf=d.___wasm_call_ctors=function(){return(jf=d.___wasm_call_ctors=d.asm.__wasm_call_ctors).apply(null,arguments)},qf=d._init=function(){return(qf=d._init=d.asm.init).apply(null,arguments)},Xf=d._init_with_threads_count=function(){return(Xf=d._init_with_threads_count=d.asm.init_with_threads_count).apply(null,arguments)},Kf=d._get_threads_count=function(){return(Kf=d._get_threads_count=d.asm.get_threads_count).apply(null,arguments)},Yf=d._register_tensor=function(){return(Yf=d._register_tensor=d.asm.register_tensor).apply(null,arguments)},Zf=d._dispose_data=function(){return(Zf=d._dispose_data=d.asm.dispose_data).apply(null,arguments)},Jf=d._dispose=function(){return(Jf=d._dispose=d.asm.dispose).apply(null,arguments)},Qf=d._Abs=function(){return(Qf=d._Abs=d.asm.Abs).apply(null,arguments)},em=d._Acos=function(){return(em=d._Acos=d.asm.Acos).apply(null,arguments)},tm=d._Acosh=function(){return(tm=d._Acosh=d.asm.Acosh).apply(null,arguments)},am=d._Add=function(){return(am=d._Add=d.asm.Add).apply(null,arguments)},nm=d._AddN=function(){return(nm=d._AddN=d.asm.AddN).apply(null,arguments)},rm=d._All=function(){return(rm=d._All=d.asm.All).apply(null,arguments)},sm=d._Any=function(){return(sm=d._Any=d.asm.Any).apply(null,arguments)},im=d._ArgMax=function(){return(im=d._ArgMax=d.asm.ArgMax).apply(null,arguments)},om=d._ArgMin=function(){return(om=d._ArgMin=d.asm.ArgMin).apply(null,arguments)},lm=d._Asin=function(){return(lm=d._Asin=d.asm.Asin).apply(null,arguments)},um=d._Asinh=function(){return(um=d._Asinh=d.asm.Asinh).apply(null,arguments)},dm=d._Atan=function(){return(dm=d._Atan=d.asm.Atan).apply(null,arguments)},pm=d._Atan2=function(){return(pm=d._Atan2=d.asm.Atan2).apply(null,arguments)},cm=d._Atanh=function(){return(cm=d._Atanh=d.asm.Atanh).apply(null,arguments)},hm=d._AvgPool=function(){return(hm=d._AvgPool=d.asm.AvgPool).apply(null,arguments)},fm=d._AvgPool3D=function(){return(fm=d._AvgPool3D=d.asm.AvgPool3D).apply(null,arguments)},mm=d._AvgPool3DGrad=function(){return(mm=d._AvgPool3DGrad=d.asm.AvgPool3DGrad).apply(null,arguments)},gm=d._BatchMatMul=function(){return(gm=d._BatchMatMul=d.asm.BatchMatMul).apply(null,arguments)},ym=d._Bincount=function(){return(ym=d._Bincount=d.asm.Bincount).apply(null,arguments)},xm=d._Ceil=function(){return(xm=d._Ceil=d.asm.Ceil).apply(null,arguments)},Am=d._ClipByValue=function(){return(Am=d._ClipByValue=d.asm.ClipByValue).apply(null,arguments)},bm=d._Conv2D=function(){return(bm=d._Conv2D=d.asm.Conv2D).apply(null,arguments)},vm=d._Conv2DBackpropInput=function(){return(vm=d._Conv2DBackpropInput=d.asm.Conv2DBackpropInput).apply(null,arguments)},wm=d._Conv3D=function(){return(wm=d._Conv3D=d.asm.Conv3D).apply(null,arguments)},km=d._Conv3DBackpropFilterV2=function(){return(km=d._Conv3DBackpropFilterV2=d.asm.Conv3DBackpropFilterV2).apply(null,arguments)},Im=d._Conv3DBackpropInputV2=function(){return(Im=d._Conv3DBackpropInputV2=d.asm.Conv3DBackpropInputV2).apply(null,arguments)},Sm=d._Cos=function(){return(Sm=d._Cos=d.asm.Cos).apply(null,arguments)},Cm=d._Cosh=function(){return(Cm=d._Cosh=d.asm.Cosh).apply(null,arguments)},Tm=d._CropAndResize=function(){return(Tm=d._CropAndResize=d.asm.CropAndResize).apply(null,arguments)},Nm=d._Cumprod=function(){return(Nm=d._Cumprod=d.asm.Cumprod).apply(null,arguments)},Rm=d._Cumsum=function(){return(Rm=d._Cumsum=d.asm.Cumsum).apply(null,arguments)},Em=d._DenseBincount=function(){return(Em=d._DenseBincount=d.asm.DenseBincount).apply(null,arguments)},Mm=d._DepthToSpace=function(){return(Mm=d._DepthToSpace=d.asm.DepthToSpace).apply(null,arguments)},Fm=d._DepthwiseConv2dNative=function(){return(Fm=d._DepthwiseConv2dNative=d.asm.DepthwiseConv2dNative).apply(null,arguments)},_m=d._Diag=function(){return(_m=d._Diag=d.asm.Diag).apply(null,arguments)},$m=d._Dilation2D=function(){return($m=d._Dilation2D=d.asm.Dilation2D).apply(null,arguments)},Dm=d._Dilation2DBackpropFilter=function(){return(Dm=d._Dilation2DBackpropFilter=d.asm.Dilation2DBackpropFilter).apply(null,arguments)},Pm=d._Dilation2DBackpropInput=function(){return(Pm=d._Dilation2DBackpropInput=d.asm.Dilation2DBackpropInput).apply(null,arguments)},Om=d._Elu=function(){return(Om=d._Elu=d.asm.Elu).apply(null,arguments)},zm=d._EluGrad=function(){return(zm=d._EluGrad=d.asm.EluGrad).apply(null,arguments)},Lm=d._Equal=function(){return(Lm=d._Equal=d.asm.Equal).apply(null,arguments)},Wm=d._Exp=function(){return(Wm=d._Exp=d.asm.Exp).apply(null,arguments)},Bm=d._Expm1=function(){return(Bm=d._Expm1=d.asm.Expm1).apply(null,arguments)},Vm=d._FlipLeftRight=function(){return(Vm=d._FlipLeftRight=d.asm.FlipLeftRight).apply(null,arguments)},Um=d._Floor=function(){return(Um=d._Floor=d.asm.Floor).apply(null,arguments)},Gm=d._FloorDiv=function(){return(Gm=d._FloorDiv=d.asm.FloorDiv).apply(null,arguments)},Hm=d._FusedBatchNorm=function(){return(Hm=d._FusedBatchNorm=d.asm.FusedBatchNorm).apply(null,arguments)},jm=d._FusedConv2D=function(){return(jm=d._FusedConv2D=d.asm.FusedConv2D).apply(null,arguments)},qm=d._FusedDepthwiseConv2D=function(){return(qm=d._FusedDepthwiseConv2D=d.asm.FusedDepthwiseConv2D).apply(null,arguments)},Xm=d._Gather=function(){return(Xm=d._Gather=d.asm.Gather).apply(null,arguments)},Km=d._GatherNd=function(){return(Km=d._GatherNd=d.asm.GatherNd).apply(null,arguments)},Ym=d._Greater=function(){return(Ym=d._Greater=d.asm.Greater).apply(null,arguments)},Zm=d._GreaterEqual=function(){return(Zm=d._GreaterEqual=d.asm.GreaterEqual).apply(null,arguments)},Jm=d._IsFinite=function(){return(Jm=d._IsFinite=d.asm.IsFinite).apply(null,arguments)},Qm=d._IsInf=function(){return(Qm=d._IsInf=d.asm.IsInf).apply(null,arguments)},e2=d._IsNan=function(){return(e2=d._IsNan=d.asm.IsNan).apply(null,arguments)},t2=d._LRN=function(){return(t2=d._LRN=d.asm.LRN).apply(null,arguments)},a2=d._LRNGrad=function(){return(a2=d._LRNGrad=d.asm.LRNGrad).apply(null,arguments)},n2=d._LeakyRelu=function(){return(n2=d._LeakyRelu=d.asm.LeakyRelu).apply(null,arguments)},r2=d._Less=function(){return(r2=d._Less=d.asm.Less).apply(null,arguments)},s2=d._LessEqual=function(){return(s2=d._LessEqual=d.asm.LessEqual).apply(null,arguments)},i2=d._LinSpace=function(){return(i2=d._LinSpace=d.asm.LinSpace).apply(null,arguments)},o2=d._Log=function(){return(o2=d._Log=d.asm.Log).apply(null,arguments)},l2=d._Log1p=function(){return(l2=d._Log1p=d.asm.Log1p).apply(null,arguments)},u2=d._LogicalAnd=function(){return(u2=d._LogicalAnd=d.asm.LogicalAnd).apply(null,arguments)},d2=d._LogicalNot=function(){return(d2=d._LogicalNot=d.asm.LogicalNot).apply(null,arguments)},p2=d._LogicalOr=function(){return(p2=d._LogicalOr=d.asm.LogicalOr).apply(null,arguments)},c2=d._LogicalXor=function(){return(c2=d._LogicalXor=d.asm.LogicalXor).apply(null,arguments)},h2=d._Max=function(){return(h2=d._Max=d.asm.Max).apply(null,arguments)},f2=d._MaxPool=function(){return(f2=d._MaxPool=d.asm.MaxPool).apply(null,arguments)},m2=d._MaxPool3D=function(){return(m2=d._MaxPool3D=d.asm.MaxPool3D).apply(null,arguments)},g2=d._MaxPool3DGrad=function(){return(g2=d._MaxPool3DGrad=d.asm.MaxPool3DGrad).apply(null,arguments)},y2=d._Maximum=function(){return(y2=d._Maximum=d.asm.Maximum).apply(null,arguments)},x2=d._Mean=function(){return(x2=d._Mean=d.asm.Mean).apply(null,arguments)},A2=d._Min=function(){return(A2=d._Min=d.asm.Min).apply(null,arguments)},b2=d._Minimum=function(){return(b2=d._Minimum=d.asm.Minimum).apply(null,arguments)},v2=d._MirrorPad=function(){return(v2=d._MirrorPad=d.asm.MirrorPad).apply(null,arguments)},w2=d._Multinomial=function(){return(w2=d._Multinomial=d.asm.Multinomial).apply(null,arguments)},k2=d._Multiply=function(){return(k2=d._Multiply=d.asm.Multiply).apply(null,arguments)},I2=d._Neg=function(){return(I2=d._Neg=d.asm.Neg).apply(null,arguments)},S2=d._NonMaxSuppressionV3=function(){return(S2=d._NonMaxSuppressionV3=d.asm.NonMaxSuppressionV3).apply(null,arguments)},Cc=d._NonMaxSuppressionV4=function(){return(Cc=d._NonMaxSuppressionV4=d.asm.NonMaxSuppressionV4).apply(null,arguments)},Tc=d._NonMaxSuppressionV5=function(){return(Tc=d._NonMaxSuppressionV5=d.asm.NonMaxSuppressionV5).apply(null,arguments)},pd=d._NotEqual=function(){return(pd=d._NotEqual=d.asm.NotEqual).apply(null,arguments)},C2=d._OneHot=function(){return(C2=d._OneHot=d.asm.OneHot).apply(null,arguments)},T2=d._PadV2=function(){return(T2=d._PadV2=d.asm.PadV2).apply(null,arguments)},Al=d._Pow=function(){return(Al=d._Pow=d.asm.Pow).apply(null,arguments)},Nc=d._Prelu=function(){return(Nc=d._Prelu=d.asm.Prelu).apply(null,arguments)},bl=d._Prod=function(){return(bl=d._Prod=d.asm.Prod).apply(null,arguments)},vl=d._RealDiv=function(){return(vl=d._RealDiv=d.asm.RealDiv).apply(null,arguments)},N2=d._Reciprocal=function(){return(N2=d._Reciprocal=d.asm.Reciprocal).apply(null,arguments)},Y=d._Relu=function(){return(Y=d._Relu=d.asm.Relu).apply(null,arguments)},se=d._Relu6=function(){return(se=d._Relu6=d.asm.Relu6).apply(null,arguments)},Ee=d._ResizeBilinear=function(){return(Ee=d._ResizeBilinear=d.asm.ResizeBilinear).apply(null,arguments)},Qe=d._ResizeBilinearGrad=function(){return(Qe=d._ResizeBilinearGrad=d.asm.ResizeBilinearGrad).apply(null,arguments)},wt=d._ResizeNearestNeighbor=function(){return(wt=d._ResizeNearestNeighbor=d.asm.ResizeNearestNeighbor).apply(null,arguments)},kt=d._ResizeNearestNeighborGrad=function(){return(kt=d._ResizeNearestNeighborGrad=d.asm.ResizeNearestNeighborGrad).apply(null,arguments)},Je=d._Reverse=function(){return(Je=d._Reverse=d.asm.Reverse).apply(null,arguments)},Ye=d._RotateWithOffset=function(){return(Ye=d._RotateWithOffset=d.asm.RotateWithOffset).apply(null,arguments)},Lt=d._Round=function(){return(Lt=d._Round=d.asm.Round).apply(null,arguments)},pn=d._Rsqrt=function(){return(pn=d._Rsqrt=d.asm.Rsqrt).apply(null,arguments)},mr=d._ScatterNd=function(){return(mr=d._ScatterNd=d.asm.ScatterNd).apply(null,arguments)},Rc=d._SearchSorted=function(){return(Rc=d._SearchSorted=d.asm.SearchSorted).apply(null,arguments)},cd=d._SelectV2=function(){return(cd=d._SelectV2=d.asm.SelectV2).apply(null,arguments)},R2=d._Selu=function(){return(R2=d._Selu=d.asm.Selu).apply(null,arguments)},za=d._Sigmoid=function(){return(za=d._Sigmoid=d.asm.Sigmoid).apply(null,arguments)},zr=d._Sign=function(){return(zr=d._Sign=d.asm.Sign).apply(null,arguments)},Ec=d._Sin=function(){return(Ec=d._Sin=d.asm.Sin).apply(null,arguments)},yS=d._Softmax=function(){return(yS=d._Softmax=d.asm.Softmax).apply(null,arguments)},xS=d._Softplus=function(){return(xS=d._Softplus=d.asm.Softplus).apply(null,arguments)},AS=d._SparseFillEmptyRows=function(){return(AS=d._SparseFillEmptyRows=d.asm.SparseFillEmptyRows).apply(null,arguments)},bS=d._SparseReshape=function(){return(bS=d._SparseReshape=d.asm.SparseReshape).apply(null,arguments)},vS=d._SparseSegmentReduction=function(){return(vS=d._SparseSegmentReduction=d.asm.SparseSegmentReduction).apply(null,arguments)},wS=d._SparseToDense=function(){return(wS=d._SparseToDense=d.asm.SparseToDense).apply(null,arguments)},kS=d._Sqrt=function(){return(kS=d._Sqrt=d.asm.Sqrt).apply(null,arguments)},IS=d._Square=function(){return(IS=d._Square=d.asm.Square).apply(null,arguments)},SS=d._SquaredDifference=function(){return(SS=d._SquaredDifference=d.asm.SquaredDifference).apply(null,arguments)},CS=d._Step=function(){return(CS=d._Step=d.asm.Step).apply(null,arguments)},TS=d._StridedSlice=function(){return(TS=d._StridedSlice=d.asm.StridedSlice).apply(null,arguments)},NS=d._Sub=function(){return(NS=d._Sub=d.asm.Sub).apply(null,arguments)},RS=d._Sum=function(){return(RS=d._Sum=d.asm.Sum).apply(null,arguments)},ES=d._Tan=function(){return(ES=d._Tan=d.asm.Tan).apply(null,arguments)},MS=d._Tanh=function(){return(MS=d._Tanh=d.asm.Tanh).apply(null,arguments)},FS=d._TensorScatterUpdate=function(){return(FS=d._TensorScatterUpdate=d.asm.TensorScatterUpdate).apply(null,arguments)},_S=d._Tile=function(){return(_S=d._Tile=d.asm.Tile).apply(null,arguments)},$S=d._TopK=function(){return($S=d._TopK=d.asm.TopK).apply(null,arguments)},DS=d._Transform=function(){return(DS=d._Transform=d.asm.Transform).apply(null,arguments)},PS=d._Transpose=function(){return(PS=d._Transpose=d.asm.Transpose).apply(null,arguments)},OS=d.__FusedMatMul=function(){return(OS=d.__FusedMatMul=d.asm._FusedMatMul).apply(null,arguments)},zS=d._malloc=function(){return(zS=d._malloc=d.asm.malloc).apply(null,arguments)},LS=d._free=function(){return(LS=d._free=d.asm.free).apply(null,arguments)},WS=d.__emscripten_tls_init=function(){return(WS=d.__emscripten_tls_init=d.asm._emscripten_tls_init).apply(null,arguments)},Mc=d._pthread_self=function(){return(Mc=d._pthread_self=d.asm.pthread_self).apply(null,arguments)},BS=d.___errno_location=function(){return(BS=d.___errno_location=d.asm.__errno_location).apply(null,arguments)},x5=d.__emscripten_thread_init=function(){return(x5=d.__emscripten_thread_init=d.asm._emscripten_thread_init).apply(null,arguments)},VS=d.__emscripten_thread_crashed=function(){return(VS=d.__emscripten_thread_crashed=d.asm._emscripten_thread_crashed).apply(null,arguments)},US=d._emscripten_main_thread_process_queued_calls=function(){return(US=d._emscripten_main_thread_process_queued_calls=d.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},GS=d._emscripten_main_browser_thread_id=function(){return(GS=d._emscripten_main_browser_thread_id=d.asm.emscripten_main_browser_thread_id).apply(null,arguments)},A5=d._emscripten_run_in_main_runtime_thread_js=function(){return(A5=d._emscripten_run_in_main_runtime_thread_js=d.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},HS=d._emscripten_dispatch_to_thread_=function(){return(HS=d._emscripten_dispatch_to_thread_=d.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},b5=d.__emscripten_proxy_execute_task_queue=function(){return(b5=d.__emscripten_proxy_execute_task_queue=d.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},E2=d.__emscripten_thread_free_data=function(){return(E2=d.__emscripten_thread_free_data=d.asm._emscripten_thread_free_data).apply(null,arguments)},v5=d.__emscripten_thread_exit=function(){return(v5=d.__emscripten_thread_exit=d.asm._emscripten_thread_exit).apply(null,arguments)},w5=d._emscripten_stack_set_limits=function(){return(w5=d._emscripten_stack_set_limits=d.asm.emscripten_stack_set_limits).apply(null,arguments)},M2=d.stackSave=function(){return(M2=d.stackSave=d.asm.stackSave).apply(null,arguments)},Fc=d.stackRestore=function(){return(Fc=d.stackRestore=d.asm.stackRestore).apply(null,arguments)},_c=d.stackAlloc=function(){return(_c=d.stackAlloc=d.asm.stackAlloc).apply(null,arguments)},jS=d.dynCall_iijjiiii=function(){return(jS=d.dynCall_iijjiiii=d.asm.dynCall_iijjiiii).apply(null,arguments)},qS=d.dynCall_jiji=function(){return(qS=d.dynCall_jiji=d.asm.dynCall_jiji).apply(null,arguments)};d.keepRuntimeAlive=wn,d.wasmMemory=ie,d.cwrap=Gf,d.ExitStatus=Es,d.PThread=We;var $c;fr=function P(){$c||k5(),$c||(fr=P)};function k5(P){if(P=P||y,Pr>0)return;if(T){h(d),Kt(),startWorker(d);return}if(Dr(),Pr>0)return;function j(){$c||($c=!0,d.calledRun=!0,!Ce&&(Kt(),h(d),d.onRuntimeInitialized&&d.onRuntimeInitialized(),uc()))}d.setStatus?(d.setStatus("Running..."),setTimeout(function(){setTimeout(function(){d.setStatus("")},1),j()},1)):j()}if(d.preInit)for(typeof d.preInit=="function"&&(d.preInit=[d.preInit]);d.preInit.length>0;)d.preInit.pop()();k5();var Dc;m&&(Dc={uncaughtException:process.listeners("uncaughtException").filter(function(P){return!m.uncaughtException.indexOf(P)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(P){return!m.unhandledRejection.indexOf(P)>-1})});var Pc;if(typeof WasmBackendModule!="undefined")Pc=WasmBackendModule;else if(typeof r!="undefined")Pc=r;else throw new Error("Could not find wasm module in post.js");if(Dc){var XS=Pc._dispose;Pc._dispose=function(){XS(),Dc.uncaughtException.forEach(function(P){process.removeListener("uncaughtException",P)}),Dc.unhandledRejection.forEach(function(P){process.removeListener("unhandledRejection",P)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=a:typeof define=="function"&&define.amd?define([],function(){return a}):typeof e=="object"&&(e.WasmBackendModuleThreadedSimd=a)}),kC=qt((e,t)=>{t.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),IC=qt((e,t)=>{var a=(()=>{var n=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(n=n||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(Y,se){i=Y,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],c="./this.program",d=(Y,se)=>{throw se},h=typeof window=="object",f=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function y(Y){return s.locateFile?s.locateFile(Y,g):g+Y}var x,A,b,w;function C(Y){Y instanceof gl||F("exiting due to exception: "+Y)}if(m){var T=qx(),N=Xx();f?g=N.dirname(g)+"/":g=__dirname+"/",x=(Y,se)=>(Y=Dr(Y)?new URL(Y):N.normalize(Y),T.readFileSync(Y,se?void 0:"utf8")),b=Y=>{var se=x(Y,!0);return se.buffer||(se=new Uint8Array(se)),se},A=(Y,se,Ee)=>{Y=Dr(Y)?new URL(Y):N.normalize(Y),T.readFile(Y,function(Qe,wt){Qe?Ee(Qe):se(wt.buffer)})},process.argv.length>1&&(c=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(Y){if(!(Y instanceof gl))throw Y}),process.on("unhandledRejection",function(Y){throw Y}),d=(Y,se)=>{if(ja())throw process.exitCode=Y,se;C(se),process.exit(Y)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||f)&&(f?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),n&&(g=n),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",x=Y=>{var se=new XMLHttpRequest;return se.open("GET",Y,!1),se.send(null),se.responseText},f&&(b=Y=>{var se=new XMLHttpRequest;return se.open("GET",Y,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),A=(Y,se,Ee)=>{var Qe=new XMLHttpRequest;Qe.open("GET",Y,!0),Qe.responseType="arraybuffer",Qe.onload=()=>{if(Qe.status==200||Qe.status==0&&Qe.response){se(Qe.response);return}Ee()},Qe.onerror=Ee,Qe.send(null)},w=Y=>document.title=Y);var M=s.print||console.log.bind(console),F=s.printErr||console.warn.bind(console);Object.assign(s,u),u=null,s.arguments&&(p=s.arguments),s.thisProgram&&(c=s.thisProgram),s.quit&&(d=s.quit);var E=4,I;s.wasmBinary&&(I=s.wasmBinary);var _=s.noExitRuntime||!0;typeof WebAssembly!="object"&&jn("no native wasm support detected");var O,B=!1,$;function U(Y,se){Y||jn(se)}var G=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function q(Y,se,Ee){se>>>=0;for(var Qe=se+Ee,wt=se;Y[wt]&&!(wt>=Qe);)++wt;if(wt-se>16&&Y.buffer&&G)return G.decode(Y.subarray(se,wt));for(var kt="";se>10,56320|pn&1023)}}return kt}function H(Y,se){return Y>>>=0,Y?q(ee,Y,se):""}function V(Y,se,Ee,Qe){if(Ee>>>=0,!(Qe>0))return 0;for(var wt=Ee,kt=Ee+Qe-1,Je=0;Je=55296&&Ye<=57343){var Lt=Y.charCodeAt(++Je);Ye=65536+((Ye&1023)<<10)|Lt&1023}if(Ye<=127){if(Ee>=kt)break;se[Ee++>>>0]=Ye}else if(Ye<=2047){if(Ee+1>=kt)break;se[Ee++>>>0]=192|Ye>>6,se[Ee++>>>0]=128|Ye&63}else if(Ye<=65535){if(Ee+2>=kt)break;se[Ee++>>>0]=224|Ye>>12,se[Ee++>>>0]=128|Ye>>6&63,se[Ee++>>>0]=128|Ye&63}else{if(Ee+3>=kt)break;se[Ee++>>>0]=240|Ye>>18,se[Ee++>>>0]=128|Ye>>12&63,se[Ee++>>>0]=128|Ye>>6&63,se[Ee++>>>0]=128|Ye&63}}return se[Ee>>>0]=0,Ee-wt}function Z(Y,se,Ee){return V(Y,ee,se,Ee)}var X,re,ee,me,ie,Ae,Ce,Re,Le;function qe(Y){X=Y,s.HEAP8=re=new Int8Array(Y),s.HEAP16=me=new Int16Array(Y),s.HEAP32=Ae=new Int32Array(Y),s.HEAPU8=ee=new Uint8Array(Y),s.HEAPU16=ie=new Uint16Array(Y),s.HEAPU32=Ce=new Uint32Array(Y),s.HEAPF32=Re=new Float32Array(Y),s.HEAPF64=Le=new Float64Array(Y)}var mt=s.INITIAL_MEMORY||16777216,dt,st=[],it=[],Ge=[],yt=!1;function ja(){return _}function zt(){if(s.preRun)for(typeof s.preRun=="function"&&(s.preRun=[s.preRun]);s.preRun.length;)Da(s.preRun.shift());fr(st)}function un(){yt=!0,fr(it)}function la(){if(s.postRun)for(typeof s.postRun=="function"&&(s.postRun=[s.postRun]);s.postRun.length;)Pa(s.postRun.shift());fr(Ge)}function Da(Y){st.unshift(Y)}function dn(Y){it.unshift(Y)}function Pa(Y){Ge.unshift(Y)}var ht=0,Oa=null,qa=null;function hr(Y){ht++,s.monitorRunDependencies&&s.monitorRunDependencies(ht)}function ml(Y){if(ht--,s.monitorRunDependencies&&s.monitorRunDependencies(ht),ht==0&&(Oa!==null&&(clearInterval(Oa),Oa=null),qa)){var se=qa;qa=null,se()}}function jn(Y){s.onAbort&&s.onAbort(Y),Y="Aborted("+Y+")",F(Y),B=!0,$=1,Y+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(Y);throw o(se),se}var sd="data:application/octet-stream;base64,";function wn(Y){return Y.startsWith(sd)}function Dr(Y){return Y.startsWith("file://")}var Kt;Kt="tfjs-backend-wasm.wasm",wn(Kt)||(Kt=y(Kt));function uc(Y){try{if(Y==Kt&&I)return new Uint8Array(I);if(b)return b(Y);throw"both async and sync fetching of the wasm failed"}catch(se){jn(se)}}function of(){if(!I&&(h||f)){if(typeof fetch=="function"&&!Dr(Kt))return fetch(Kt,{credentials:"same-origin"}).then(function(Y){if(!Y.ok)throw"failed to load wasm binary file at '"+Kt+"'";return Y.arrayBuffer()}).catch(function(){return uc(Kt)});if(A)return new Promise(function(Y,se){A(Kt,function(Ee){Y(new Uint8Array(Ee))},se)})}return Promise.resolve().then(function(){return uc(Kt)})}function lf(){var Y={env:id,wasi_snapshot_preview1:id};function se(Je,Ye){var Lt=Je.exports;s.asm=Lt,O=s.asm.memory,qe(O.buffer),dt=s.asm.__indirect_function_table,dn(s.asm.__wasm_call_ctors),ml("wasm-instantiate")}hr("wasm-instantiate");function Ee(Je){se(Je.instance)}function Qe(Je){return of().then(function(Ye){return WebAssembly.instantiate(Ye,Y)}).then(function(Ye){return Ye}).then(Je,function(Ye){F("failed to asynchronously prepare wasm: "+Ye),jn(Ye)})}function wt(){return!I&&typeof WebAssembly.instantiateStreaming=="function"&&!wn(Kt)&&!Dr(Kt)&&!m&&typeof fetch=="function"?fetch(Kt,{credentials:"same-origin"}).then(function(Je){var Ye=WebAssembly.instantiateStreaming(Je,Y);return Ye.then(Ee,function(Lt){return F("wasm streaming compile failed: "+Lt),F("falling back to ArrayBuffer instantiation"),Qe(Ee)})}):Qe(Ee)}if(s.instantiateWasm)try{var kt=s.instantiateWasm(Y,se);return kt}catch(Je){F("Module.instantiateWasm callback failed with error: "+Je),o(Je)}return wt().catch(o),{}}var f5,Pr;function gl(Y){this.name="ExitStatus",this.message="Program terminated with exit("+Y+")",this.status=Y}function fr(Y){for(;Y.length>0;)Y.shift()(s)}function uf(){jn("")}function dc(){return 4294901760}function Rs(){return dc()}function df(Y,se,Ee){ee.copyWithin(Y>>>0,se>>>0,se+Ee>>>0)}function pc(Y){try{return O.grow(Y-X.byteLength+65535>>>16),qe(O.buffer),1}catch(se){}}function yl(Y){var se=ee.length;Y=Y>>>0;var Ee=dc();if(Y>Ee)return!1;let Qe=(Lt,pn)=>Lt+(pn-Lt%pn)%pn;for(var wt=1;wt<=4;wt*=2){var kt=se*(1+.2/wt);kt=Math.min(kt,Y+100663296);var Je=Math.min(Ee,Qe(Math.max(Y,kt),65536)),Ye=pc(Je);if(Ye)return!0}return!1}var ma={varargs:void 0,get:function(){ma.varargs+=4;var Y=Ae[ma.varargs-4>>>2];return Y},getStr:function(Y){var se=H(Y);return se}};function cc(Y){return 52}function pf(Y,se,Ee,Qe,wt){return 70}var cf=[null,[],[]];function m5(Y,se){var Ee=cf[Y];se===0||se===10?((Y===1?M:F)(q(Ee,0)),Ee.length=0):Ee.push(se)}function g5(Y,se,Ee,Qe){for(var wt=0,kt=0;kt>>2],Ye=Ce[se+4>>>2];se+=8;for(var Lt=0;Lt>>0]);wt+=Ye}return Ce[Qe>>>2]=wt,0}function hc(Y){var se=s["_"+Y];return se}function Es(Y,se){re.set(Y,se>>>0)}function hf(Y,se,Ee,Qe,wt){var kt={string:za=>{var zr=0;if(za!=null&&za!==0){var Ec=(za.length<<2)+1;zr=pd(Ec),Z(za,zr,Ec)}return zr},array:za=>{var zr=pd(za.length);return Es(za,zr),zr}};function Je(za){return se==="string"?H(za):se==="boolean"?!!za:za}var Ye=hc(Y),Lt=[],pn=0;if(Qe)for(var mr=0;mrJe==="number"||Je==="boolean"),kt=se!=="string";return kt&&wt&&!Qe?hc(Y):function(){return hf(Y,se,Ee,arguments,Qe)}}var id={abort:uf,emscripten_get_heap_max:Rs,emscripten_memcpy_big:df,emscripten_resize_heap:yl,fd_close:cc,fd_seek:pf,fd_write:g5},mf=lf(),fc=s.___wasm_call_ctors=function(){return(fc=s.___wasm_call_ctors=s.asm.__wasm_call_ctors).apply(null,arguments)},mc=s._init=function(){return(mc=s._init=s.asm.init).apply(null,arguments)},gf=s._init_with_threads_count=function(){return(gf=s._init_with_threads_count=s.asm.init_with_threads_count).apply(null,arguments)},gc=s._get_threads_count=function(){return(gc=s._get_threads_count=s.asm.get_threads_count).apply(null,arguments)},yf=s._register_tensor=function(){return(yf=s._register_tensor=s.asm.register_tensor).apply(null,arguments)},We=s._dispose_data=function(){return(We=s._dispose_data=s.asm.dispose_data).apply(null,arguments)},od=s._dispose=function(){return(od=s._dispose=s.asm.dispose).apply(null,arguments)},xf=s._Abs=function(){return(xf=s._Abs=s.asm.Abs).apply(null,arguments)},yc=s._Acos=function(){return(yc=s._Acos=s.asm.Acos).apply(null,arguments)},xl=s._Acosh=function(){return(xl=s._Acosh=s.asm.Acosh).apply(null,arguments)},Af=s._Add=function(){return(Af=s._Add=s.asm.Add).apply(null,arguments)},bf=s._AddN=function(){return(bf=s._AddN=s.asm.AddN).apply(null,arguments)},vf=s._All=function(){return(vf=s._All=s.asm.All).apply(null,arguments)},wf=s._Any=function(){return(wf=s._Any=s.asm.Any).apply(null,arguments)},kf=s._ArgMax=function(){return(kf=s._ArgMax=s.asm.ArgMax).apply(null,arguments)},xc=s._ArgMin=function(){return(xc=s._ArgMin=s.asm.ArgMin).apply(null,arguments)},Ac=s._Asin=function(){return(Ac=s._Asin=s.asm.Asin).apply(null,arguments)},If=s._Asinh=function(){return(If=s._Asinh=s.asm.Asinh).apply(null,arguments)},Sf=s._Atan=function(){return(Sf=s._Atan=s.asm.Atan).apply(null,arguments)},Cf=s._Atan2=function(){return(Cf=s._Atan2=s.asm.Atan2).apply(null,arguments)},ld=s._Atanh=function(){return(ld=s._Atanh=s.asm.Atanh).apply(null,arguments)},Tf=s._AvgPool=function(){return(Tf=s._AvgPool=s.asm.AvgPool).apply(null,arguments)},Nf=s._AvgPool3D=function(){return(Nf=s._AvgPool3D=s.asm.AvgPool3D).apply(null,arguments)},Rf=s._AvgPool3DGrad=function(){return(Rf=s._AvgPool3DGrad=s.asm.AvgPool3DGrad).apply(null,arguments)},Ms=s._BatchMatMul=function(){return(Ms=s._BatchMatMul=s.asm.BatchMatMul).apply(null,arguments)},Ef=s._Bincount=function(){return(Ef=s._Bincount=s.asm.Bincount).apply(null,arguments)},Mf=s._Ceil=function(){return(Mf=s._Ceil=s.asm.Ceil).apply(null,arguments)},bc=s._ClipByValue=function(){return(bc=s._ClipByValue=s.asm.ClipByValue).apply(null,arguments)},Ff=s._Conv2D=function(){return(Ff=s._Conv2D=s.asm.Conv2D).apply(null,arguments)},ud=s._Conv2DBackpropInput=function(){return(ud=s._Conv2DBackpropInput=s.asm.Conv2DBackpropInput).apply(null,arguments)},_f=s._Conv3D=function(){return(_f=s._Conv3D=s.asm.Conv3D).apply(null,arguments)},$f=s._Conv3DBackpropFilterV2=function(){return($f=s._Conv3DBackpropFilterV2=s.asm.Conv3DBackpropFilterV2).apply(null,arguments)},Df=s._Conv3DBackpropInputV2=function(){return(Df=s._Conv3DBackpropInputV2=s.asm.Conv3DBackpropInputV2).apply(null,arguments)},Or=s._Cos=function(){return(Or=s._Cos=s.asm.Cos).apply(null,arguments)},dd=s._Cosh=function(){return(dd=s._Cosh=s.asm.Cosh).apply(null,arguments)},Pf=s._CropAndResize=function(){return(Pf=s._CropAndResize=s.asm.CropAndResize).apply(null,arguments)},Of=s._Cumprod=function(){return(Of=s._Cumprod=s.asm.Cumprod).apply(null,arguments)},zf=s._Cumsum=function(){return(zf=s._Cumsum=s.asm.Cumsum).apply(null,arguments)},Lf=s._DenseBincount=function(){return(Lf=s._DenseBincount=s.asm.DenseBincount).apply(null,arguments)},vc=s._DepthToSpace=function(){return(vc=s._DepthToSpace=s.asm.DepthToSpace).apply(null,arguments)},wc=s._DepthwiseConv2dNative=function(){return(wc=s._DepthwiseConv2dNative=s.asm.DepthwiseConv2dNative).apply(null,arguments)},Wf=s._Diag=function(){return(Wf=s._Diag=s.asm.Diag).apply(null,arguments)},Bf=s._Dilation2D=function(){return(Bf=s._Dilation2D=s.asm.Dilation2D).apply(null,arguments)},kc=s._Dilation2DBackpropFilter=function(){return(kc=s._Dilation2DBackpropFilter=s.asm.Dilation2DBackpropFilter).apply(null,arguments)},Ic=s._Dilation2DBackpropInput=function(){return(Ic=s._Dilation2DBackpropInput=s.asm.Dilation2DBackpropInput).apply(null,arguments)},Vf=s._Elu=function(){return(Vf=s._Elu=s.asm.Elu).apply(null,arguments)},Uf=s._EluGrad=function(){return(Uf=s._EluGrad=s.asm.EluGrad).apply(null,arguments)},Gf=s._Equal=function(){return(Gf=s._Equal=s.asm.Equal).apply(null,arguments)},Hf=s._Exp=function(){return(Hf=s._Exp=s.asm.Exp).apply(null,arguments)},Sc=s._Expm1=function(){return(Sc=s._Expm1=s.asm.Expm1).apply(null,arguments)},y5=s._FlipLeftRight=function(){return(y5=s._FlipLeftRight=s.asm.FlipLeftRight).apply(null,arguments)},jf=s._Floor=function(){return(jf=s._Floor=s.asm.Floor).apply(null,arguments)},qf=s._FloorDiv=function(){return(qf=s._FloorDiv=s.asm.FloorDiv).apply(null,arguments)},Xf=s._FusedBatchNorm=function(){return(Xf=s._FusedBatchNorm=s.asm.FusedBatchNorm).apply(null,arguments)},Kf=s._FusedConv2D=function(){return(Kf=s._FusedConv2D=s.asm.FusedConv2D).apply(null,arguments)},Yf=s._FusedDepthwiseConv2D=function(){return(Yf=s._FusedDepthwiseConv2D=s.asm.FusedDepthwiseConv2D).apply(null,arguments)},Zf=s._Gather=function(){return(Zf=s._Gather=s.asm.Gather).apply(null,arguments)},Jf=s._GatherNd=function(){return(Jf=s._GatherNd=s.asm.GatherNd).apply(null,arguments)},Qf=s._Greater=function(){return(Qf=s._Greater=s.asm.Greater).apply(null,arguments)},em=s._GreaterEqual=function(){return(em=s._GreaterEqual=s.asm.GreaterEqual).apply(null,arguments)},tm=s._IsFinite=function(){return(tm=s._IsFinite=s.asm.IsFinite).apply(null,arguments)},am=s._IsInf=function(){return(am=s._IsInf=s.asm.IsInf).apply(null,arguments)},nm=s._IsNan=function(){return(nm=s._IsNan=s.asm.IsNan).apply(null,arguments)},rm=s._LRN=function(){return(rm=s._LRN=s.asm.LRN).apply(null,arguments)},sm=s._LRNGrad=function(){return(sm=s._LRNGrad=s.asm.LRNGrad).apply(null,arguments)},im=s._LeakyRelu=function(){return(im=s._LeakyRelu=s.asm.LeakyRelu).apply(null,arguments)},om=s._Less=function(){return(om=s._Less=s.asm.Less).apply(null,arguments)},lm=s._LessEqual=function(){return(lm=s._LessEqual=s.asm.LessEqual).apply(null,arguments)},um=s._LinSpace=function(){return(um=s._LinSpace=s.asm.LinSpace).apply(null,arguments)},dm=s._Log=function(){return(dm=s._Log=s.asm.Log).apply(null,arguments)},pm=s._Log1p=function(){return(pm=s._Log1p=s.asm.Log1p).apply(null,arguments)},cm=s._LogicalAnd=function(){return(cm=s._LogicalAnd=s.asm.LogicalAnd).apply(null,arguments)},hm=s._LogicalNot=function(){return(hm=s._LogicalNot=s.asm.LogicalNot).apply(null,arguments)},fm=s._LogicalOr=function(){return(fm=s._LogicalOr=s.asm.LogicalOr).apply(null,arguments)},mm=s._LogicalXor=function(){return(mm=s._LogicalXor=s.asm.LogicalXor).apply(null,arguments)},gm=s._Max=function(){return(gm=s._Max=s.asm.Max).apply(null,arguments)},ym=s._MaxPool=function(){return(ym=s._MaxPool=s.asm.MaxPool).apply(null,arguments)},xm=s._MaxPool3D=function(){return(xm=s._MaxPool3D=s.asm.MaxPool3D).apply(null,arguments)},Am=s._MaxPool3DGrad=function(){return(Am=s._MaxPool3DGrad=s.asm.MaxPool3DGrad).apply(null,arguments)},bm=s._Maximum=function(){return(bm=s._Maximum=s.asm.Maximum).apply(null,arguments)},vm=s._Mean=function(){return(vm=s._Mean=s.asm.Mean).apply(null,arguments)},wm=s._Min=function(){return(wm=s._Min=s.asm.Min).apply(null,arguments)},km=s._Minimum=function(){return(km=s._Minimum=s.asm.Minimum).apply(null,arguments)},Im=s._MirrorPad=function(){return(Im=s._MirrorPad=s.asm.MirrorPad).apply(null,arguments)},Sm=s._Multinomial=function(){return(Sm=s._Multinomial=s.asm.Multinomial).apply(null,arguments)},Cm=s._Multiply=function(){return(Cm=s._Multiply=s.asm.Multiply).apply(null,arguments)},Tm=s._Neg=function(){return(Tm=s._Neg=s.asm.Neg).apply(null,arguments)},Nm=s._NonMaxSuppressionV3=function(){return(Nm=s._NonMaxSuppressionV3=s.asm.NonMaxSuppressionV3).apply(null,arguments)},Rm=s._NonMaxSuppressionV4=function(){return(Rm=s._NonMaxSuppressionV4=s.asm.NonMaxSuppressionV4).apply(null,arguments)},Em=s._NonMaxSuppressionV5=function(){return(Em=s._NonMaxSuppressionV5=s.asm.NonMaxSuppressionV5).apply(null,arguments)},Mm=s._NotEqual=function(){return(Mm=s._NotEqual=s.asm.NotEqual).apply(null,arguments)},Fm=s._OneHot=function(){return(Fm=s._OneHot=s.asm.OneHot).apply(null,arguments)},_m=s._PadV2=function(){return(_m=s._PadV2=s.asm.PadV2).apply(null,arguments)},$m=s._Pow=function(){return($m=s._Pow=s.asm.Pow).apply(null,arguments)},Dm=s._Prelu=function(){return(Dm=s._Prelu=s.asm.Prelu).apply(null,arguments)},Pm=s._Prod=function(){return(Pm=s._Prod=s.asm.Prod).apply(null,arguments)},Om=s._RealDiv=function(){return(Om=s._RealDiv=s.asm.RealDiv).apply(null,arguments)},zm=s._Reciprocal=function(){return(zm=s._Reciprocal=s.asm.Reciprocal).apply(null,arguments)},Lm=s._Relu=function(){return(Lm=s._Relu=s.asm.Relu).apply(null,arguments)},Wm=s._Relu6=function(){return(Wm=s._Relu6=s.asm.Relu6).apply(null,arguments)},Bm=s._ResizeBilinear=function(){return(Bm=s._ResizeBilinear=s.asm.ResizeBilinear).apply(null,arguments)},Vm=s._ResizeBilinearGrad=function(){return(Vm=s._ResizeBilinearGrad=s.asm.ResizeBilinearGrad).apply(null,arguments)},Um=s._ResizeNearestNeighbor=function(){return(Um=s._ResizeNearestNeighbor=s.asm.ResizeNearestNeighbor).apply(null,arguments)},Gm=s._ResizeNearestNeighborGrad=function(){return(Gm=s._ResizeNearestNeighborGrad=s.asm.ResizeNearestNeighborGrad).apply(null,arguments)},Hm=s._Reverse=function(){return(Hm=s._Reverse=s.asm.Reverse).apply(null,arguments)},jm=s._RotateWithOffset=function(){return(jm=s._RotateWithOffset=s.asm.RotateWithOffset).apply(null,arguments)},qm=s._Round=function(){return(qm=s._Round=s.asm.Round).apply(null,arguments)},Xm=s._Rsqrt=function(){return(Xm=s._Rsqrt=s.asm.Rsqrt).apply(null,arguments)},Km=s._ScatterNd=function(){return(Km=s._ScatterNd=s.asm.ScatterNd).apply(null,arguments)},Ym=s._SearchSorted=function(){return(Ym=s._SearchSorted=s.asm.SearchSorted).apply(null,arguments)},Zm=s._SelectV2=function(){return(Zm=s._SelectV2=s.asm.SelectV2).apply(null,arguments)},Jm=s._Selu=function(){return(Jm=s._Selu=s.asm.Selu).apply(null,arguments)},Qm=s._Sigmoid=function(){return(Qm=s._Sigmoid=s.asm.Sigmoid).apply(null,arguments)},e2=s._Sign=function(){return(e2=s._Sign=s.asm.Sign).apply(null,arguments)},t2=s._Sin=function(){return(t2=s._Sin=s.asm.Sin).apply(null,arguments)},a2=s._Softmax=function(){return(a2=s._Softmax=s.asm.Softmax).apply(null,arguments)},n2=s._Softplus=function(){return(n2=s._Softplus=s.asm.Softplus).apply(null,arguments)},r2=s._SparseFillEmptyRows=function(){return(r2=s._SparseFillEmptyRows=s.asm.SparseFillEmptyRows).apply(null,arguments)},s2=s._SparseReshape=function(){return(s2=s._SparseReshape=s.asm.SparseReshape).apply(null,arguments)},i2=s._SparseSegmentReduction=function(){return(i2=s._SparseSegmentReduction=s.asm.SparseSegmentReduction).apply(null,arguments)},o2=s._SparseToDense=function(){return(o2=s._SparseToDense=s.asm.SparseToDense).apply(null,arguments)},l2=s._Sqrt=function(){return(l2=s._Sqrt=s.asm.Sqrt).apply(null,arguments)},u2=s._Square=function(){return(u2=s._Square=s.asm.Square).apply(null,arguments)},d2=s._SquaredDifference=function(){return(d2=s._SquaredDifference=s.asm.SquaredDifference).apply(null,arguments)},p2=s._Step=function(){return(p2=s._Step=s.asm.Step).apply(null,arguments)},c2=s._StridedSlice=function(){return(c2=s._StridedSlice=s.asm.StridedSlice).apply(null,arguments)},h2=s._Sub=function(){return(h2=s._Sub=s.asm.Sub).apply(null,arguments)},f2=s._Sum=function(){return(f2=s._Sum=s.asm.Sum).apply(null,arguments)},m2=s._Tan=function(){return(m2=s._Tan=s.asm.Tan).apply(null,arguments)},g2=s._Tanh=function(){return(g2=s._Tanh=s.asm.Tanh).apply(null,arguments)},y2=s._TensorScatterUpdate=function(){return(y2=s._TensorScatterUpdate=s.asm.TensorScatterUpdate).apply(null,arguments)},x2=s._Tile=function(){return(x2=s._Tile=s.asm.Tile).apply(null,arguments)},A2=s._TopK=function(){return(A2=s._TopK=s.asm.TopK).apply(null,arguments)},b2=s._Transform=function(){return(b2=s._Transform=s.asm.Transform).apply(null,arguments)},v2=s._Transpose=function(){return(v2=s._Transpose=s.asm.Transpose).apply(null,arguments)},w2=s.__FusedMatMul=function(){return(w2=s.__FusedMatMul=s.asm._FusedMatMul).apply(null,arguments)},k2=s._malloc=function(){return(k2=s._malloc=s.asm.malloc).apply(null,arguments)},I2=s._free=function(){return(I2=s._free=s.asm.free).apply(null,arguments)},S2=s.___errno_location=function(){return(S2=s.___errno_location=s.asm.__errno_location).apply(null,arguments)},Cc=s.stackSave=function(){return(Cc=s.stackSave=s.asm.stackSave).apply(null,arguments)},Tc=s.stackRestore=function(){return(Tc=s.stackRestore=s.asm.stackRestore).apply(null,arguments)},pd=s.stackAlloc=function(){return(pd=s.stackAlloc=s.asm.stackAlloc).apply(null,arguments)},C2=s.dynCall_iijjiiii=function(){return(C2=s.dynCall_iijjiiii=s.asm.dynCall_iijjiiii).apply(null,arguments)},T2=s.dynCall_jiji=function(){return(T2=s.dynCall_jiji=s.asm.dynCall_jiji).apply(null,arguments)};s.cwrap=ff;var Al;qa=function Y(){Al||Nc(),Al||(qa=Y)};function Nc(Y){if(Y=Y||p,ht>0||(zt(),ht>0))return;function se(){Al||(Al=!0,s.calledRun=!0,!B&&(un(),i(s),s.onRuntimeInitialized&&s.onRuntimeInitialized(),la()))}s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),se()},1)):se()}if(s.preInit)for(typeof s.preInit=="function"&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();Nc();var bl;l&&(bl={uncaughtException:process.listeners("uncaughtException").filter(function(Y){return!l.uncaughtException.indexOf(Y)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(Y){return!l.unhandledRejection.indexOf(Y)>-1})});var vl;if(typeof r!="undefined")vl=r;else if(typeof WasmBackendModuleThreadedSimd!="undefined")vl=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(bl){var N2=vl._dispose;vl._dispose=function(){N2(),bl.uncaughtException.forEach(function(Y){process.removeListener("uncaughtException",Y)}),bl.unhandledRejection.forEach(function(Y){process.removeListener("unhandledRejection",Y)})}}return r.ready}})();typeof e=="object"&&typeof t=="object"?t.exports=a:typeof define=="function"&&define.amd?define([],function(){return a}):typeof e=="object"&&(e.WasmBackendModule=a)}),Zd=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},Kl=class{refCount(e){return Ka("refCount")}incRef(e){return Ka("incRef")}timerAvailable(){return!0}time(e){return Ka("time")}read(e){return Ka("read")}readSync(e){return Ka("readSync")}readToGPU(e,t){return Ka("readToGPU")}numDataIds(){return Ka("numDataIds")}disposeData(e,t){return Ka("disposeData")}write(e,t,a){return Ka("write")}move(e,t,a,n,r){return Ka("move")}createTensorFromGPUData(e,t,a){return Ka("createTensorFromGPUData")}memory(){return Ka("memory")}floatPrecision(){return Ka("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Ka("dispose")}};function Ka(e){throw new Error(`'${e}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function Kx(e){let t=e.length,a=0;for(;t>0;)a=Math.random()*t|0,t--,Qc(e,t,a)}function SC(e,t){if(e.length!==t.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${e.length}Second array length was ${t.length}`);let a=e.length,n=0;for(;a>0;)n=Math.random()*a|0,a--,Qc(e,a,n),Qc(t,a,n)}function Rd(e,t,a){return Math.max(e,Math.min(t,a))}function CC(e){return e%2===0?e:e+1}function Qc(e,t,a){let n=e[t];e[t]=e[a],e[a]=n}function TC(e){let t=0;for(let a=0;aa+` Shapes ${e} and ${t} must match`)}function Js(e){D(e!=null,()=>"The input to the tensor constructor must be a non-null value.")}function vt(e){if(e.length===0)return 1;let t=e[0];for(let a=1;a0,a,n){return new Promise((r,s)=>{let i=0,o=()=>{if(e()){r();return}i++;let l=t(i);if(a!=null&&i>=a){s();return}n!=null?n(o,l):setTimeout(o,l)};o()})}function DC(e,t){let a=1,n=-1;for(let s=0;s=0)a*=e[s];else if(e[s]===-1){if(n!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${n} and dim ${s}`);n=s}else if(e[s]<0)throw Error(`Shapes can not be < 0. Found ${e[s]} at dim ${s}`);if(n===-1){if(t>0&&t!==a)throw Error(`Size(${t}) must match the product of shape ${e}`);return e}if(a===0)throw Error(`Cannot infer the missing size in [${e}] when there are 0 elements`);if(t%a!==0)throw Error(`The implicit shape can't be a fractional number. Got ${t} / ${a}`);let r=e.slice();return r[n]=t/a,r}function Jd(e,t){let a=t.length;return e=e==null?t.map((n,r)=>r):[].concat(e),D(e.every(n=>n>=-a&&n`All values in axis param must be in range [-${a}, ${a}) but got axis ${e}`),D(e.every(n=>$l(n)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(n=>n<0?a+n:n)}function Zx(e,t){let a=[],n=[],r=t!=null&&Array.isArray(t)&&t.length===0,s=t==null||r?null:Jd(t,e).sort(),i=0;for(let o=0;oo)&&e[o]===1&&(a.push(e[o]),n.push(o)),s[i]<=o&&i++}e[o]!==1&&(a.push(e[o]),n.push(o))}return{newShape:a,keptDims:n}}function Jx(e,t){return z1(e,t)}function z1(e,t){let a=null;if(e==null||e==="float32")a=new Float32Array(t);else if(e==="int32")a=new Int32Array(t);else if(e==="bool")a=new Uint8Array(t);else if(e==="string")a=new Array(t);else throw new Error(`Unknown data type ${e}`);return a}function Qx(e,t){for(let a=0;at+=a.length),t}function Br(e){return typeof e=="string"||e instanceof String}function aA(e){return typeof e=="boolean"}function nA(e){return typeof e=="number"}function Qd(e){return Array.isArray(e)?Qd(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":nA(e)?"float32":Br(e)?"string":aA(e)?"bool":"float32"}function qr(e){return!!(e&&e.constructor&&e.call&&e.apply)}function th(e,t){for(let a=t;a=0;--n)a[n]=a[n+1]*e[n+1];return a}function rA(e,t,a,n=!1){let r=new Array;if(t.length===1){let s=t[0]*(n?2:1);for(let i=0;il*u)*(n?2:1);for(let l=0;lr*s)*(a?2:1);if(n===0)return[];if(n!==t.length)throw new Error(`[${e}] does not match the input size ${t.length}${a?" for a complex tensor":""}.`);return rA(0,e,t,a)}function OC(e,t){if(Array.isArray(e))return e;if(t==="float32")return e instanceof Float32Array?e:new Float32Array(e);if(t==="int32")return e instanceof Int32Array?e:new Int32Array(e);if(t==="bool"||t==="string")return Uint8Array.from(new Int32Array(e));throw new Error(`Unknown dtype ${t}`)}function L1(e,t){let a=vh(e,t);for(let n=0;nn*r,1);if(t==null||t==="float32")return Rl(e,new Float32Array(a));if(t==="int32")return Rl(e,new Int32Array(a));if(t==="bool")return Rl(e,new Uint8Array(a));throw new Error(`Unknown data type ${t}`)}function an(e){e.forEach(t=>{D(Number.isInteger(t)&&t>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${e}].`)})}function LC(e,t,a){if(t===0)return 0;if(t===1)return e[0];let n=e[e.length-1];for(let r=0;r{let[a,n]=t.split(":");this.urlFlags[a]=UC(a,n)})}};function BC(e){let t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(a,...n)=>(VC(t,n[0],n[1]),n.join("="))),t}function VC(e,t,a){e[decodeURIComponent(t)]=decodeURIComponent(a||"")}function UC(e,t){let a=t.toLowerCase();return a==="true"||a==="false"?a==="true":`${+a}`===a?+a:t}function W(){return W1}var W1=null;function GC(e){W1=e}var _2;function iA(){if(_2==null){let e;if(typeof window!="undefined")e=window;else if(typeof global!="undefined")e=global;else if(typeof process!="undefined")e=process;else if(typeof self!="undefined")e=self;else throw new Error("Could not find a global object");_2=e}return _2}function HC(){let e=iA();return e._tfGlobals==null&&(e._tfGlobals=new Map),e._tfGlobals}function B1(e,t){let a=HC();if(a.has(e))return a.get(e);{let n=t();return a.set(e,n),a.get(e)}}var Zl="Abs",Qs="Acos",ei="Acosh",ns="Add",ti="AddN",ai="All",ni="Any",Jl="ArgMax",Ql="ArgMin",ri="Asin",si="Asinh",ii="Atan",oi="Atanh",li="Atan2",ui="AvgPool",kh="AvgPoolGrad",eu="AvgPool3D",ep="AvgPool3DGrad",di="BatchMatMul",tu="BatchToSpaceND",pi="Bincount",Ih="BitwiseAnd",jC="BroadcastTo",au="BroadcastArgs",ci="Cast",hi="Ceil",rs="ClipByValue",tp="Complex",ap="ComplexAbs",nu="Concat",fi="Conv2D",np="Conv2DBackpropFilter",mi="Conv2DBackpropInput",gi="Conv3D",ru="Conv3DBackpropFilterV2",yi="Conv3DBackpropInputV2",xi="Cos",Ai="Cosh",bi="Cumprod",vi="Cumsum",wi="CropAndResize",su="DenseBincount",ki="DepthToSpace",Ii="DepthwiseConv2dNative",rp="DepthwiseConv2dNativeBackpropFilter",sp="DepthwiseConv2dNativeBackpropInput",iu="Diag",Si="Dilation2D",Dl="Dilation2DBackpropInput",Pl="Dilation2DBackpropFilter",Ci="RealDiv",ip="Einsum",Ti="Elu",ou="EluGrad",lu="Erf",Ni="Equal",Ri="Exp",uu="ExpandDims",Ei="Expm1",op="FFT",du="Fill",Mi="FlipLeftRight",Fi="Floor",_i="FloorDiv",$i="FusedBatchNorm",pu="GatherV2",Di="GatherNd",Pi="Greater",Oi="GreaterEqual",zi="Identity",lp="IFFT",up="Imag",Li="IsFinite",Wi="IsInf",Bi="IsNan",Vi="LeakyRelu",Ui="Less",Gi="LessEqual",Hi="LinSpace",ji="Log",qi="Log1p",Xi="LogicalAnd",Ki="LogicalNot",Yi="LogicalOr",oA="LogicalXor",qC="LogSoftmax",XC="LowerBound",Zi="LRN",cu="LRNGrad",KC="MatrixBandPart",Ji="Max",Qi="Maximum",eo="MaxPool",Sh="MaxPoolGrad",hu="MaxPool3D",dp="MaxPool3DGrad",pp="MaxPoolWithArgmax",to="Mean",ao="Min",no="Minimum",ro="MirrorPad",fu="Mod",so="Multinomial",io="Multiply",mu="Neg",oo="NotEqual",lo="NonMaxSuppressionV3",gu="NonMaxSuppressionV4",uo="NonMaxSuppressionV5",yu="OnesLike",po="OneHot",xu="Pack",co="PadV2",YC="Pool",ho="Pow",fo="Prelu",mo="Prod",Ch="RaggedGather",Th="RaggedRange",Nh="RaggedTensorToTensor",Au="Range",cp="Real",go="Reciprocal",yo="Relu",bu="Reshape",xo="ResizeNearestNeighbor",vu="ResizeNearestNeighborGrad",Ao="ResizeBilinear",wu="ResizeBilinearGrad",bo="Relu6",vo="Reverse",wo="Round",ko="Rsqrt",Io="ScatterNd",So="TensorScatterUpdate",Co="SearchSorted",ku="Select",To="Selu",Iu="Slice",No="Sin",Su="Sinh",Ro="Sign",Eo="Sigmoid",Mo="Softplus",Fo="Sqrt",_o="Sum",Cu="SpaceToBatchND",Tu="SplitV",$o="Softmax",hp="SparseFillEmptyRows",Nu="SparseReshape",fp="SparseSegmentMean",mp="SparseSegmentSum",Do="SparseToDense",Po="SquaredDifference",gp="Square",yp="StaticRegexReplace",Oo="StridedSlice",Ru="StringNGrams",xp="StringSplit",Ap="StringToHashBucketFast",zo="Sub",Lo="Tan",Wo="Tanh",ss="Tile",Bo="TopK",Vo="Transform",wr="Transpose",bp="Unique",Eu="Unpack",vp="UnsortedSegmentSum",ZC="UpperBound",Mu="ZerosLike",is="Step",Ed="FromPixels",Uo="RotateWithOffset",Xr="_FusedMatMul",Kr="FusedConv2D",Yr="FusedDepthwiseConv2D";function Wr(...e){W().getBool("IS_TEST")||W().getBool("PROD")||console.warn(...e)}function JC(...e){W().getBool("IS_TEST")||W().getBool("PROD")||console.log(...e)}var Ol=B1("kernelRegistry",()=>new Map),Md=B1("gradRegistry",()=>new Map);function ah(e,t){let a=V1(e,t);return Ol.get(a)}function G2(e){return Md.get(e)}function Jn(e){let t=Ol.entries(),a=[];for(;;){let{done:n,value:r}=t.next();if(n)break;let[s,i]=r,[o]=s.split("_");o===e&&a.push(i)}return a}function yn(e){let{kernelName:t,backendName:a}=e,n=V1(t,a);Ol.has(n)&&Wr(`The kernel '${t}' for backend '${a}' is already registered`),Ol.set(n,e)}function QC(e){let{kernelName:t}=e;Md.has(t)&&W().getBool("DEBUG")&&Wr(`Overriding the gradient for '${t}'`),Md.set(t,e)}function eT(e,t){let a=V1(e,t);if(!Ol.has(a))throw new Error(`The kernel '${e}' for backend '${t}' is not registered`);Ol.delete(a)}function tT(e){if(!Md.has(e))throw new Error(`The gradient '${e}' for backend is not registered`);Md.delete(e)}function aT(e,t){Jn(e).forEach(a=>{let n=Object.assign({},a,{backendName:t});yn(n)})}function V1(e,t){return`${t}_${e}`}var v={};Ze(v,{arraysEqual:()=>Cr,arraysEqualWithNull:()=>Yx,assert:()=>D,assertNonNegativeIntegerDimensions:()=>an,assertNonNull:()=>Js,assertShapesMatch:()=>Na,bytesFromStringArray:()=>tA,bytesPerElement:()=>eh,checkConversionForErrors:()=>Qx,clamp:()=>Rd,computeStrides:()=>Yl,convertBackendValuesAndArrayBuffer:()=>OC,createScalarValue:()=>lT,createShuffledIndices:()=>_C,decodeString:()=>nh,distSquared:()=>RC,encodeString:()=>kp,fetch:()=>dT,fingerPrint64:()=>oT,flatten:()=>Zr,getArrayFromDType:()=>z1,getTypedArrayFromDType:()=>Jx,hasEncodingLoss:()=>PC,hexToLong:()=>wp,indexToLoc:()=>WC,inferDtype:()=>Qd,inferFromImplicitShape:()=>DC,isBoolean:()=>aA,isFunction:()=>qr,isInt:()=>$l,isNumber:()=>nA,isPromise:()=>wh,isScalarShape:()=>EC,isString:()=>Br,isTypedArray:()=>Zt,isValidDtype:()=>eA,locToIndex:()=>LC,makeOnesTypedArray:()=>L1,makeZerosNestedTypedArray:()=>zC,makeZerosTypedArray:()=>vh,nearestDivisor:()=>th,nearestLargerEven:()=>CC,now:()=>Fd,parseAxisParam:()=>Jd,randUniform:()=>NC,repeatedTry:()=>$C,rightPad:()=>Sd,shuffle:()=>Kx,shuffleCombo:()=>SC,sizeFromShape:()=>vt,sizeToSquarishShape:()=>FC,squeezeShape:()=>Zx,sum:()=>TC,swap:()=>Qc,tanh:()=>MC,toNestedArray:()=>Rl,toTypedArray:()=>Rh});function lA(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}var N5=Xl(lC()),Ps=N5.default||N5;function wp(e){return Ps.fromString(e,!0,16)}var uA=wp("c3a5c85c97cb3127"),$s=wp("b492b66fbe98f273"),wa=wp("9ae16a3b2f90404f");function H2(e){return e.xor(e.shru(47))}function dA(e,t,a){let n=e.slice(t,t+a);return Ps.fromBytes(Array.from(n),!0,!0)}function xt(e,t){return dA(e,t,8)}function R5(e,t){return dA(e,t,4)}function Yt(e,t){return t===0?e:e.shru(t).or(e.shl(64-t))}function Hr(e,t,a=wp("9ddfea08eb382d69")){let n=e.xor(t).mul(a);n=n.xor(n.shru(47));let r=t.xor(n).mul(a);return r=r.xor(r.shru(47)),r=r.mul(a),r}function nT(e,t,a,n,r,s){r=r.add(e),s=Yt(s.add(r).add(n),21);let i=r;return r=r.add(t),r=r.add(a),s=s.add(Yt(r,44)),[r.add(n),s.add(i)]}function zc(e,t,a,n){return nT(xt(e,t),xt(e,t+8),xt(e,t+16),xt(e,t+24),a,n)}function rT(e,t=e.length){if(t>=8){let a=wa.add(t*2),n=xt(e,0).add(wa),r=xt(e,t-8),s=Yt(r,37).mul(a).add(n),i=Yt(n,25).add(r).mul(a);return Hr(s,i,a)}if(t>=4){let a=wa.add(t*2),n=R5(e,0);return Hr(n.shl(3).add(t),R5(e,t-4),a)}if(t>0){let a=e[0],n=e[t>>1],r=e[t-1],s=a+(n<<8),i=t+(r<<2);return H2(wa.mul(s).xor(uA.mul(i))).mul(wa)}return wa}function sT(e,t=e.length){let a=wa.add(t*2),n=xt(e,0).mul($s),r=xt(e,8),s=xt(e,t-8).mul(a),i=xt(e,t-16).mul(wa);return Hr(Yt(n.add(r),43).add(Yt(s,30)).add(i),n.add(Yt(r.add(wa),18)).add(s),a)}function iT(e,t=e.length){let a=wa.add(t*2),n=xt(e,0).mul(wa),r=xt(e,8),s=xt(e,t-8).mul(a),i=xt(e,t-16).mul(wa),o=Yt(n.add(r),43).add(Yt(s,30)).add(i),l=Hr(o,n.add(Yt(r.add(wa),18)).add(s),a),u=xt(e,16).mul(a),p=xt(e,24),c=o.add(xt(e,t-32)).mul(a),d=l.add(xt(e,t-24)).mul(a);return Hr(Yt(u.add(p),43).add(Yt(c,30)).add(d),u.add(Yt(p.add(n),18)).add(c),a)}function oT(e,t=e.length){let a=Ps.fromNumber(81,!0);if(t<=32)return t<=16?rT(e,t):sT(e,t);if(t<=64)return iT(e,t);let n=a,r=a.mul($s).add(113),s=H2(r.mul(wa).add(113)).mul(wa),i=[Ps.UZERO,Ps.UZERO],o=[Ps.UZERO,Ps.UZERO];n=n.mul(wa).add(xt(e,0));let l=0,u=(t-1>>6)*64,p=u+(t-1&63)-63;do n=Yt(n.add(r).add(i[0]).add(xt(e,l+8)),37).mul($s),r=Yt(r.add(i[1]).add(xt(e,l+48)),42).mul($s),n=n.xor(o[1]),r=r.add(i[0]).add(xt(e,l+40)),s=Yt(s.add(o[0]),33).mul($s),i=zc(e,l,i[1].mul($s),n.add(o[0])),o=zc(e,l+32,s.add(o[1]),r.add(xt(e,l+16))),[s,n]=[n,s],l+=64;while(l!==u);let c=$s.add(s.and(255).shl(1));return l=p,o[0]=o[0].add(t-1&63),i[0]=i[0].add(o[0]),o[0]=o[0].add(i[0]),n=Yt(n.add(r).add(i[0]).add(xt(e,l+8)),37).mul(c),r=Yt(r.add(i[1]).add(xt(e,l+48)),42).mul(c),n=n.xor(o[1].mul(9)),r=r.add(i[0].mul(9).add(xt(e,l+40))),s=Yt(s.add(o[0]),33).mul(c),i=zc(e,l,i[1].mul(c),n.add(o[0])),o=zc(e,l+32,s.add(o[1]),r.add(xt(e,l+16))),[s,n]=[n,s],Hr(Hr(i[0],o[0],c).add(H2(r).mul(uA)).add(s),Hr(i[1],o[1],c).add(n),c)}function lT(e,t){return t==="string"?kp(e):Rh([e],t)}function uT(e,t){return e instanceof Float32Array&&t==="float32"||e instanceof Int32Array&&t==="int32"||e instanceof Uint8Array&&t==="bool"}function Rh(e,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Zr(e)),W().getBool("DEBUG")&&Qx(e,t),uT(e,t))return e;if(t==null||t==="float32"||t==="complex64")return new Float32Array(e);if(t==="int32")return new Int32Array(e);if(t==="bool"){let a=new Uint8Array(e.length);for(let n=0;n{n=a()},s,i=Fd();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(r);else{r();for(let o of n)o.dataSync();s=Promise.resolve({kernelMs:Fd()-i})}if(W().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let o=0;o{cT(u,l.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:s.then(o=>o.kernelMs),extraInfo:s.then(o=>o.getExtraProfileInfo!=null?o.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:a,timeMs:n,inputs:r,extraInfo:s}=e;a.forEach(i=>{Promise.all([i.data(),n,s]).then(o=>{this.logger.logKernelProfile(t,i,o[0],o[1],r,o[2])})})}};function cT(e,t,a){if(t!=="float32")return!1;for(let n=0;n0?f:""} `}}console.log(`%c${o} %c${i} %c${l}D ${p} %c${u} %c${c} %c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function fT(e,t,a){let n={},r={};for(let l=0;ln[m.id]=!0),h=!0,r[u.id]=!0;break}if(h)break}}let s={};s[a.id]=!0;let i={};for(let l=e.length-1;l>=0;l--){let u=e[l],p=u.inputs;for(let c=0;c=0;r--){let s=t[r],i=[];if(s.outputs.forEach(l=>{let u=e[l.id];u!=null?i.push(u):i.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let o=s.gradient(i);for(let l in s.inputs){if(!(l in o))throw new Error(`Cannot backprop through input ${l}. Available gradients found: ${Object.keys(o)}.`);let u=a(()=>o[l]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${l} must have 'float32' dtype, but has '${u.dtype}'`);let p=s.inputs[l];if(!Cr(u.shape,p.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${l}' has shape '${u.shape}', which does not match the shape of the input '${p.shape}'`);if(e[p.id]==null)e[p.id]=u;else{let c=e[p.id];e[p.id]=n(c,u),c.dispose()}}}}var E5=20,hd=3,$2=7;function gT(e,t,a,n){let r=Yl(t),s=yT(e,t,a,r),i=t.length,o=Hc(e,t,a,r,s),l=["Tensor"];return n&&(l.push(` dtype: ${a}`),l.push(` rank: ${i}`),l.push(` shape: [${t}]`),l.push(" values:")),l.push(o.map(u=>" "+u).join(` `)),l.join(` -`)}function ZS(e,t,a,n){let r=xt(t),s=n[n.length-1],i=new Array(s).fill(0),o=t.length,l=a==="complex64"?Uu(e):e;if(o>1)for(let u=0;uD5){let m=Bu*i,g=Array.from(e.slice(0,m)),y=Array.from(e.slice((o-Bu)*i,o*i));return a==="complex64"&&(g=Uu(g),y=Uu(y)),["["+g.map((x,A)=>Vu(x,r[A],a)).join(", ")+", ..., "+y.map((x,A)=>Vu(x,r[o-Bu+A],a)).join(", ")+"]"]}return["["+(a==="complex64"?Uu(e):Array.from(e)).map((m,g)=>Vu(m,r[g],a)).join(", ")+"]"]}let u=t.slice(1),p=n.slice(1),c=n[0]*i,d=[];if(o>D5){for(let m=0;m0?d[0]+h:"");for(let m=1;m1)for(let u=0;uE5){let m=hd*i,g=Array.from(e.slice(0,m)),y=Array.from(e.slice((o-hd)*i,o*i));return a==="complex64"&&(g=gd(g),y=gd(y)),["["+g.map((x,A)=>md(x,r[A],a)).join(", ")+", ..., "+y.map((x,A)=>md(x,r[o-hd+A],a)).join(", ")+"]"]}return["["+(a==="complex64"?gd(e):Array.from(e)).map((m,g)=>md(m,r[g],a)).join(", ")+"]"]}let u=t.slice(1),p=n.slice(1),c=n[0]*i,d=[];if(o>E5){for(let m=0;m0?d[0]+h:"");for(let m=1;m`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=a||sx(t,this.size),this.strides=bl(e)}set(e,...t){t.length===0&&(t=[0]),F(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let a=this.locToIndex(t);this.values[a]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let a=e[e.length-1];for(let n=0;nEc(a))}catch(a){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Fn().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Fn().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Ec(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Fn().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Fn().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Jo.print(this,e)}clone(){return this.throwIfDisposed(),Jo.clone(this)}toString(e=!1){let t=this.dataSync();return KS(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Jo.cast(this,e)}variable(e=!0,t,a){return this.throwIfDisposed(),Fn().makeVariable(this,e,t,a)}};Object.defineProperty(ct,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function tT(){return z2("Tensor",()=>ct)}tT();var id=class extends ct{constructor(e,t,a,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=a}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!es(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Fn().disposeTensor(this),this.dataId=e.dataId,Fn().incRef(this,null)}dispose(){Fn().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(id,Symbol.hasInstance,{value:e=>e instanceof ct&&e.assign!=null&&e.assign instanceof Function});var xx={};Ze(xx,{assertTypesMatch:()=>Ax,getTensorsInContainer:()=>X2,isTensorInList:()=>nT,makeTypesMatch:()=>Tt});var Um;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(Um||(Um={}));var Gm;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(Gm||(Gm={}));var Hm;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(Hm||(Hm={}));var jm;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(jm||(jm={}));var qm;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(qm||(qm={}));var aT={float32:jm,int32:Gm,bool:Hm,complex64:qm};function ma(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return aT[e][t]}function Xd(e){return ma(e,"int32")}function Tt(e,t){if(e.dtype===t.dtype)return[e,t];let a=ma(e.dtype,t.dtype);return[e.cast(a),t.cast(a)]}function Ax(e,t){F(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function nT(e,t){return t.some(a=>a.id===e.id)}function X2(e){let t=[];return bx(e,t,new Set),t}function bx(e,t,a){if(e==null)return;if(e instanceof ct){t.push(e);return}if(!rT(e))return;let n=e;for(let r in n){let s=n[r];a.has(s)||(a.add(s),bx(s,t,a))}}function rT(e){return Array.isArray(e)||typeof e=="object"}function Rm(e){return e.kernelName!=null}var z5=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},od=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new z5}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Zn(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let a=t.factory();if(a&&!(a instanceof Al)&&typeof a.then=="function"){let n=++this.pendingBackendInitId,r=a.then(s=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(a),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,a){e();try{let n=a();return t(),n}catch(n){throw t(),n}}nextTensorId(){return od.nextTensorId++}nextVariableId(){return od.nextVariableId++}clone(e){let t=L.runKernel(wi,{x:e}),a={x:e},n=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return L.runKernel(ti,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,a,[t],n,r,{}),t}runKernel(e,t,a){if(this.backendName==null&&this.backend,Nc(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:a})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,a){let n=this.backend.numDataIds(),r=0;a.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,a=[],n=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=Rm(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(Rm(e)){let{kernelName:h,inputs:f,attrs:m}=e;this.backendName==null&&this.backend;let g=Nc(h,this.backendName);F(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:f,attrs:m,backend:this.backend});let x=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,x);let A=x.map(b=>b.rank!=null?b:this.makeTensorFromTensorInfo(b));if(n){let b=this.getTensorsForGradient(h,f,A);a=this.saveTensorsForBackwardMode(b)}return A}}else{let{forwardFunc:h}=e,f=m=>{n&&(a=m.map(g=>this.keep(this.clone(g))))};i=()=>{let m=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,f));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,m,g),g}}let{inputs:u,attrs:p}=e,c=Rm(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(l,u,t,c,a,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,a){let n=Wm(e);if(n!=null){let r=n.inputsToSave||[],s=n.outputsToSave||[],i;n.saveAllInputs?(F(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=a.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,a,n){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");a=a||"float32",n=n||this.backend;let r=e;a==="string"&&zr(e[0])&&(r=e.map(o=>qd(o)));let s=n.write(r,t,a),i=new ct(t,a,s,this.nextTensorId());if(this.trackTensor(i,n),a==="string"){let o=this.state.tensorInfo.get(s),l=lx(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,a,n){a=a||"float32";let r={dataId:e,shape:t,dtype:a};return this.makeTensorFromTensorInfo(r,n)}makeTensorFromTensorInfo(e,t){let{dataId:a,shape:n,dtype:r}=e,s=new ct(n,r,a,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,a,n){a=a||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let r=new id(e,t,a,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let a=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(a=e.size*Tc(e.dtype)),this.state.numBytes+=a,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:a})),e instanceof id||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let a=e.size*Tc(e.dtype);this.state.numBytes-=a}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,a=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-a;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,a,n,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:a,saved:r},o=Wm(e);o!=null&&(n=o.gradFunc),n!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let c=a[p],d=jc(c.size,c.dtype);return this.makeTensor(d,c.shape,c.dtype)}return u}),n(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=X2(e),a=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===n.id&&this.track(r)})}gradients(e,t,a,n=!1){if(F(t.length>0,()=>"gradients() received an empty list of xs."),a!=null&&a.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${a.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));F(r instanceof ct,()=>"The result y returned by f() must be a tensor.");let s=qS(this.state.activeTape,t,r);if(!n&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=a==null?sT(r.shape):a,XS(i,s,l=>this.tidy(l),iT);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return F(Gr(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{F(t.every(i=>i instanceof ct),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let a,n={};t.forEach((i,o)=>{n[o]=i});let r=(i,o)=>(a=e(...t,o),F(a.value instanceof ct,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),F(Gr(a.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),a.value),s=(i,o)=>{let l=a.gradFunc(i,o),u=Array.isArray(l)?l:[l];F(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),F(u.every(c=>c instanceof ct),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((c,d)=>{p[d]=()=>c}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=sd(),a=await this.backend.time(e);return a.wallMs=sd()-t,a}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new z5;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};od.nextTensorId=0;od.nextVariableId=0;function sT(e){let t=O2(xt(e),"float32");return L.makeTensor(t,e,"float32")}function vx(){let e=hx();if(e._tfengine==null){let t=new cx(e);e._tfengine=new od(t)}return IS(e._tfengine.ENV),JS(()=>e._tfengine),e._tfengine}var L=vx();function iT(e,t){let a={a:e,b:t};return L.runKernel(ts,a)}var Kd={};Ze(Kd,{isBrowser:()=>kx,isMobile:()=>uT,mockIsMobile:()=>lT});function oT(){return typeof navigator!="undefined"&&navigator!=null}var Xm;function lT(e){Xm=e}function uT(e){if(Xm!==void 0)return Xm;if(e||oT()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let a=e;return a.userAgentData&&a.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function kx(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var mn=V();mn.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});mn.registerFlag("IS_BROWSER",()=>kx());mn.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");mn.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));mn.registerFlag("PROD",()=>!1);mn.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>mn.getBool("DEBUG"));mn.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);mn.registerFlag("IS_TEST",()=>!1);mn.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);mn.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);mn.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);mn.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Yn(e,t){let a=e;if(ia(e))return t==="string"?[]:[e.length];if(typeof e=="object"){if("texture"in e){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if("buffer"in e&&!(e.buffer instanceof ArrayBuffer))return[e.buffer.size/(t==null?4:Tc(t))]}if(!Array.isArray(e))return[];let n=[];for(;Array.isArray(a)||ia(a)&&t!=="string";)n.push(a.length),a=a[0];return Array.isArray(e)&&V().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&wx(e,n,[]),n}function wx(e,t,a){if(a=a||[],!Array.isArray(e)&&!ia(e)){F(t.length===0,()=>`Element arr[${a.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}F(t.length>0,()=>`Element arr[${a.join("][")}] should be a primitive, but is an array of ${e.length} elements`),F(e.length===t[0],()=>`Element arr[${a.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let n=t.slice(1);for(let r=0;r=0&&(r=n),L5(n,r,t,a),e==null||!ia(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${a}' must be a Tensor or TensorLike, but got '${o}'`)}let s=Yn(e,r);!ia(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?dh(e,r):Xr(e,[],!0);return L.makeTensor(i,s,r)}function ld(e,t,a,n="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${a} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>E(r,`${t}[${s}]`,a,n))}var K2="__op";function z(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let a=t[0],n=e[a];a.endsWith("_")&&(a=a.substring(0,a.length-1)),a=a+K2;let r=(...s)=>{L.startScope(a);try{let i=n(...s);return qc(i)&&console.error("Cannot return a Promise inside of tidy."),L.endScope(i),i}catch(i){throw L.endScope(null),i}};return Object.defineProperty(r,"name",{value:a,configurable:!0}),r}function dT(e,t){let a=E(e,"real","complex"),n=E(t,"imag","complex");Ca(a.shape,n.shape,`real and imag shapes, ${a.shape} and ${n.shape}, must match in call to tf.complex().`);let r={real:a,imag:n};return L.runKernel(Td,r)}var vr=z({complex_:dT});function ss(e,t,a,n){if(n==null)n=Hc(e);else if(n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof e=="object"&&("texture"in e||"buffer"in e&&!(e.buffer instanceof ArrayBuffer))){if(n!=="float32"&&n!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return L.backend.createTensorFromGPUData(e,t||a,n)}if(!ia(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){tn(t);let r=xt(t),s=xt(a);F(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${a}) does not match the provided shape (${t}). `)}}return!ia(e)&&!Array.isArray(e)&&(e=[e]),t=t||a,e=n!=="string"?dh(e,n):Xr(e,[],!0),L.makeTensor(e,t,n)}function Ue(e,t,a){let n=Yn(e,a);return ss(e,t,n,a)}var Km={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},Rc=4;async function pT(e,t){let a=[],n=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let d=await l.bytes(),h=d.reduce((g,y)=>g+y.length,0)+Rc*d.length,f=new Uint8Array(h),m=0;for(let g=0;g{if(t+=s.byteLength,a.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),r=0;return a.forEach(s=>{n.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),n.buffer}var Z2=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function B5(e){return Z2?Buffer.byteLength(e):new Blob([e]).size}function hT(e){if(Z2)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),a="";for(let n=0,r=t.length;n{t+=r.byteLength});let a=new Uint8Array(t),n=0;return e.forEach(r=>{a.set(new Uint8Array(r),n),n+=r.byteLength}),a.buffer}function W5(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let a=e.split(t);return a[a.length-1]}function Sx(e,t){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),a}function Tx(e,t,a){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!a)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=a}return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),n}async function J2(e,t){let a,n;return e.weightsManifest!=null&&([a,n]=await t(e.weightsManifest)),Tx(e,a,n)}function Zd(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:B5(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:B5(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function Cx(e){let t=[];for(let a of e)t.push(...a.weights);return t}function mT(){let e=a=>{let n=a<<13,r=0;for(;!(n&8388608);)r-=8388608,n<<=1;return n&=-8388609,r+=947912704,n|r},t=new Uint32Array(2048);t[0]=0;for(let a=1;a<1024;a++)t[a]=e(a);for(let a=1024;a<2048;a++)t[a]=939524096+(a-1024<<13);return t}function gT(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function yT(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function xT(){let e=mT(),t=gT(),a=yT();return n=>{let r=new ArrayBuffer(4*n.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var Mt=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return Mt.instance==null&&(Mt.instance=new Mt),Mt.instance}static registerSaveRouter(e){Mt.getInstance().saveRouters.push(e)}static registerLoadRouter(e){Mt.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return Mt.getHandlers(e,"save")}static getLoadHandlers(e,t){return Mt.getHandlers(e,"load",t)}static getHandlers(e,t,a){let n=[];return(t==="load"?Mt.getInstance().loadRouters:Mt.getInstance().saveRouters).forEach(r=>{let s=r(e,a);s!==null&&n.push(s)}),n}},AT=e=>Mt.registerSaveRouter(e),bT=e=>Mt.registerLoadRouter(e),vT=e=>Mt.getSaveHandlers(e),kT=(e,t)=>Mt.getLoadHandlers(e,t),Zm="tensorflowjs",Ym=1,Os="models_store",Lr="model_info_store";function Nx(){if(!V().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function Jm(e){let t=e.result;t.createObjectStore(Os,{keyPath:"modelPath"}),t.createObjectStore(Lr,{keyPath:"modelPath"})}var zs=class{constructor(e){if(this.indexedDB=Nx(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((a,n)=>{let r=this.indexedDB.open(Zm,Ym);r.onupgradeneeded=()=>Jm(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Os,"readonly"),o=i.objectStore(Os).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));a(o.result.modelArtifacts)},o.onerror=l=>(s.close(),n(o.error)),i.oncomplete=()=>s.close()}else{let i=Zd(t),o=s.transaction(Lr,"readwrite"),l=o.objectStore(Lr),u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i}),p;u.onsuccess=()=>{p=s.transaction(Os,"readwrite");let c=p.objectStore(Os).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});c.onsuccess=()=>a({modelArtifactsInfo:i}),c.onerror=d=>{l=o.objectStore(Lr);let h=l.delete(this.modelPath);h.onsuccess=()=>(s.close(),n(c.error)),h.onerror=f=>(s.close(),n(c.error))}},u.onerror=c=>(s.close(),n(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>n(r.error)})}};zs.URL_SCHEME="indexeddb://";var Ex=e=>V().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(zs.URL_SCHEME)?wT(e.slice(zs.URL_SCHEME.length)):null;Mt.registerSaveRouter(Ex);Mt.registerLoadRouter(Ex);function wT(e){return new zs(e)}function IT(e){return e.startsWith(zs.URL_SCHEME)?e.slice(zs.URL_SCHEME.length):e}var ST=class{constructor(){this.indexedDB=Nx()}async listModels(){return new Promise((e,t)=>{let a=this.indexedDB.open(Zm,Ym);a.onupgradeneeded=()=>Jm(a),a.onsuccess=()=>{let n=a.result,r=n.transaction(Lr,"readonly"),s=r.objectStore(Lr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(n.close(),t(s.error)),r.oncomplete=()=>n.close()},a.onerror=n=>t(a.error)})}async removeModel(e){return e=IT(e),new Promise((t,a)=>{let n=this.indexedDB.open(Zm,Ym);n.onupgradeneeded=()=>Jm(n),n.onsuccess=()=>{let r=n.result,s=r.transaction(Lr,"readwrite"),i=s.objectStore(Lr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),a(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Os,"readwrite");let c=l.objectStore(Os).delete(e);c.onsuccess=()=>t(o.result.modelArtifactsInfo),c.onerror=d=>a(o.error)};u.onsuccess=p,u.onerror=c=>(p(),r.close(),a(o.error))}},o.onerror=u=>(r.close(),a(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},n.onerror=r=>a(n.error)})}},xr="/",Qo="tensorflowjs_models",Rx="info",TT="model_topology",CT="weight_specs",NT="weight_data",ET="model_metadata";function Mx(e){return{info:[Qo,e,Rx].join(xr),topology:[Qo,e,TT].join(xr),weightSpecs:[Qo,e,CT].join(xr),weightData:[Qo,e,NT].join(xr),modelMetadata:[Qo,e,ET].join(xr)}}function $x(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function RT(e){let t=e.split(xr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(xr)}function MT(e){return e.startsWith(Ls.URL_SCHEME)?e.slice(Ls.URL_SCHEME.length):e}var Ls=class{constructor(e){if(!V().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=Mx(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),a=JSON.stringify(e.weightSpecs),n=Zd(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,a),this.LS.setItem(this.keys.weightData,hT(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:n}}catch(r){throw $x(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},a=JSON.parse(this.LS.getItem(this.keys.topology));if(a==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=a;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=fT(s),t}};Ls.URL_SCHEME="localstorage://";var _x=e=>V().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Ls.URL_SCHEME)?$T(e.slice(Ls.URL_SCHEME.length)):null;Mt.registerSaveRouter(_x);Mt.registerLoadRouter(_x);function $T(e){return new Ls(e)}var _T=class{constructor(){F(V().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),F(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Qo+xr,a=xr+Rx;for(let n=0;n"scheme must not be undefined or null."),e.endsWith(al)&&(e=e.slice(0,e.indexOf(al))),F(e.length>0,()=>"scheme must not be an empty string.");let a=La.getInstance();F(a.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),a.managers[e]=t}static getManager(e){let t=La.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(La.getInstance().managers)}};function yc(e){if(e.indexOf(al)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${La.getSchemes().join(",")}`);return{scheme:e.split(al)[0],path:e.split(al)[1]}}async function Px(e,t,a=!1){F(e!==t,()=>`Old path and new path are the same: '${e}'`);let n=Mt.getLoadHandlers(e);F(n.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),F(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${e}.`);let r=n[0],s=Mt.getSaveHandlers(t);F(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),F(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],o=yc(e).scheme,l=yc(e).path,u=o===yc(e).scheme,p=await r.load();a&&u&&await La.getManager(o).removeModel(l);let c=await i.save(p);return a&&!u&&await La.getManager(o).removeModel(l),c.modelArtifactsInfo}async function PT(){let e=La.getSchemes(),t={};for(let a of e){let n=await La.getManager(a).listModels();for(let r in n){let s=a+al+r;t[s]=n[r]}}return t}async function FT(e){let t=yc(e);return La.getManager(t.scheme).removeModel(t.path)}async function OT(e,t){return Px(e,t,!1)}async function DT(e,t){return Px(e,t,!0)}var zT=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!V().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",a=>{if(a.source===window&&a.data.name===this.messageName){a.stopPropagation();let n=this.functionRefs[a.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(V().get("IS_BROWSER")){V().setPlatform("browser",new zT);try{La.registerManager(Ls.URL_SCHEME,new _T)}catch(e){}try{La.registerManager(zs.URL_SCHEME,new ST)}catch(e){}}var LT={importFetch:()=>UI()},Mm,BT=class{constructor(){this.util=GI(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return V().global.fetch!=null?V().global.fetch(e,t):(Mm==null&&(Mm=LT.importFetch()),Mm(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};V().get("IS_NODE")&&!V().get("IS_BROWSER")&&V().setPlatform("node",new BT);function _e(e,t="float32",a){return t=t||"float32",tn(e),new jt(e,t,a)}function WT(e,t){let a=E(e,"x","cast");if(!ox(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&a.dtype!=="string"||t!=="string"&&a.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:a},r={dtype:t};return L.runKernel(ti,n,r)}var Xe=z({cast_:WT});function VT(e){let t={x:E(e,"x","clone","string_or_numeric")};return L.runKernel(wi,t)}var Ia=z({clone_:VT});function Q2(e,t=!1){console.log(e.toString(t))}vx();var UT={buffer:_e,cast:Xe,clone:Ia,print:Q2};QS(UT);function e1(){V().set("PROD",!0)}function GT(){V().set("DEBUG",!0)}function HT(){V().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function t1(e){V().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}eT(t1);function jT(){L.disposeVariables()}function vt(){return L}function qT(){return L.memory()}function XT(e){return L.profile(e)}function Oe(e,t){return L.tidy(e,t)}function J(e){X2(e).forEach(t=>t.dispose())}function On(e){return L.keep(e)}function KT(e){return L.time(e)}function Yd(e){return L.setBackend(e)}function Jd(){return L.ready()}function da(){return L.backendName}function ZT(e){L.removeBackend(e)}function a1(e){return L.findBackend(e)}function YT(e){return L.findBackendFactory(e)}function yo(e,t,a=1){return L.registerBackend(e,t,a)}function tr(){return L.backend}function JT(e,t){V().setPlatform(e,t)}function QT(e,t){let a=E(e,"a","add"),n=E(t,"b","add");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(ts,r)}var be=z({add_:QT});function eC(e,t){let a=E(e,"a","floorDiv"),n=E(t,"b","floorDiv");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(xi,r)}var Qd=z({floorDiv_:eC});function tC(e,t){let a=E(e,"a","div"),n=E(t,"b","div");if([a,n]=Tt(a,n),a.dtype==="int32"&&n.dtype==="int32")return Qd(a,n);let r={a,b:n},s={};return L.runKernel(ci,r,s)}var xe=z({div_:tC});function aC(e,t){let a=E(e,"a","mul"),n=E(t,"b","mul");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(Li,r)}var te=z({mul_:aC});function nC(e){let t=E(e,"x","abs");if(t.dtype==="complex64"){let a={x:t};return L.runKernel(Yc,a)}else{let a={x:t};return L.runKernel(vl,a)}}var Za=z({abs_:nC});function rC(e){let t={x:E(e,"x","acos")};return L.runKernel(kl,t)}var Fx=z({acos_:rC});function sC(e){let t={x:E(e,"x","acosh")};return L.runKernel(wl,t)}var Ox=z({acosh_:sC});function iC(e){F(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),F(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>E(r,`tensors${s}`,"addN")),a=t[0];t.forEach(r=>{if(r.dtype!==a.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!es(r.shape,a.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return L.runKernel(Ks,n)}var ph=z({addN_:iC});function oC(e,t=null,a=!1){let n={x:E(e,"x","all","bool")},r={axis:t,keepDims:a};return L.runKernel(Zs,n,r)}var Dx=z({all_:oC});function lC(e,t=null,a=!1){let n={x:E(e,"x","any","bool")},r={axis:t,keepDims:a};return L.runKernel(Ys,n,r)}var zx=z({any_:lC});function uC(e,t=0){let a={x:E(e,"x","argMax")},n={axis:t};return L.runKernel(Js,a,n)}var ar=z({argMax_:uC});function dC(e,t=0){let a={x:E(e,"x","argMin")},n={axis:t};return L.runKernel(Id,a,n)}var Lx=z({argMin_:dC});function pC(e){let t={x:E(e,"x","asin")};return L.runKernel(Il,t)}var Bx=z({asin_:pC});function cC(e){let t={x:E(e,"x","asinh")};return L.runKernel(Sl,t)}var Wx=z({asinh_:cC});function hC(e){let t={x:E(e,"x","atan")};return L.runKernel(Tl,t)}var Vx=z({atan_:hC});function fC(e,t){let a=E(e,"a","atan2"),n=E(t,"b","atan2");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(Nl,r)}var Ux=z({atan2_:fC});function mC(e){let t={x:E(e,"x","atanh")};return L.runKernel(Cl,t)}var Gx=z({atanh_:mC});function gC(e,t,a,n,r="NHWC",s){let i=e[3],o=[...t,i],l=qx(r);return ep(e,o,a,s,n,null,null,l)}function Hx(e,t,a,n,r,s,i="channelsLast"){let[o,l]=ud(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return ep(e,u,a,n,r,s,!1,i)}function yC(e,t,a,n,r,s,i="NDHWC"){let[o,l,u]=Qm(t),p,c;if(i==="NDHWC")c="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")c="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return jx(e,p,a,n,r,!1,c,s)}function ep(e,t,a,n,r,s,i=!1,o="channelsLast"){let[l,u,p,c]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,c]=e;else if(o==="channelsFirst")[l,c,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[d,h,,f]=t,[m,g]=ud(a),[y,x]=ud(n),A=nl(d,y),b=nl(h,x),{padInfo:k,outHeight:S,outWidth:C}=bC(r,u,p,m,g,A,b,s,o),N=i?f*c:f,$;return o==="channelsFirst"?$=[l,N,S,C]:o==="channelsLast"&&($=[l,S,C,N]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:c,outHeight:S,outWidth:C,outChannels:N,padInfo:k,strideHeight:m,strideWidth:g,filterHeight:d,filterWidth:h,effectiveFilterHeight:A,effectiveFilterWidth:b,dilationHeight:y,dilationWidth:x,inShape:e,outShape:$,filterShape:t}}function jx(e,t,a,n,r,s=!1,i="channelsLast",o){let[l,u,p,c,d]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,c,d]=e;else if(i==="channelsFirst")[l,d,u,p,c]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,f,m,,g]=t,[y,x,A]=Qm(a),[b,k,S]=Qm(n),C=nl(h,b),N=nl(f,k),$=nl(m,S),{padInfo:M,outDepth:R,outHeight:I,outWidth:_}=vC(r,u,p,c,y,x,A,C,N,$,o),D=s?g*d:g,W;return i==="channelsFirst"?W=[l,D,R,I,_]:i==="channelsLast"&&(W=[l,R,I,_,D]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:c,inChannels:d,outDepth:R,outHeight:I,outWidth:_,outChannels:D,padInfo:M,strideDepth:y,strideHeight:x,strideWidth:A,filterDepth:h,filterHeight:f,filterWidth:m,effectiveFilterDepth:C,effectiveFilterHeight:N,effectiveFilterWidth:$,dilationDepth:b,dilationHeight:k,dilationWidth:S,inShape:e,outShape:W,filterShape:t}}function xC(e,t,a,n,r){n==null&&(n=n1(e,t,a));let s=e[0],i=e[1],o=dd((s-t+2*n)/a+1,r),l=dd((i-t+2*n)/a+1,r);return[o,l]}function AC(e,t,a,n,r,s){r==null&&(r=n1(e,t[0],n[0]));let i=[0,0,0,a];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=dd((e[o]-t[o]+2*r)/n[o]+1,s));return i}function n1(e,t,a,n=1){let r=nl(t,n);return Math.floor((e[0]*(a-1)-a+r)/2)}function ud(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function Qm(e){return typeof e=="number"?[e,e,e]:e}function nl(e,t){return t<=1?e:e+(e-1)*(t-1)}function bC(e,t,a,n,r,s,i,o,l){let u,p,c;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let d=xC([t,a],s,n,e,o);p=d[0],c=d[1]}else if(e==="same"){p=Math.ceil(t/n),c=Math.ceil(a/r);let d=Math.max(0,(p-1)*n+s-t),h=Math.max(0,(c-1)*r+i-a),f=Math.floor(d/2),m=d-f,g=Math.floor(h/2),y=h-g;u={top:f,bottom:m,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/n),c=Math.ceil((a-i+1)/r);else if(typeof e=="object"){let d=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],f=l==="channelsLast"?e[2][0]:e[3][0],m=l==="channelsLast"?e[2][1]:e[3][1];u={top:d,bottom:h,left:f,right:m,type:d===0&&h===0&&f===0&&m===0?"VALID":"EXPLICIT"},p=dd((t-s+d+h)/n+1,o),c=dd((a-i+f+m)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:c}}function vC(e,t,a,n,r,s,i,o,l,u,p){let c,d,h,f;if(e==="valid"&&(e=0),typeof e=="number"){c={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let m=AC([t,a,n,1],[o,l,u],1,[r,s,i],e,p);d=m[0],h=m[1],f=m[2]}else if(e==="same"){d=Math.ceil(t/r),h=Math.ceil(a/s),f=Math.ceil(n/i);let m=(d-1)*r+o-t,g=(h-1)*s+l-a,y=(f-1)*i+u-n,x=Math.floor(m/2),A=m-x,b=Math.floor(g/2),k=g-b,S=Math.floor(y/2),C=y-S;c={top:b,bottom:k,left:S,right:C,front:x,back:A,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:c,outDepth:d,outHeight:h,outWidth:f}}function dd(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function pd(e){let[t,a,n]=ud(e);return t===1&&a===1&&n===1}function wr(e,t){return pd(e)||pd(t)}function Bs(e){return ud(e).every(t=>t>0)}function qx(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Cn(e,t,a){if(a!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${t}.`);if(typeof t=="number")F(il(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(r=>{F(il(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function kC(e,t){let a={x:E(e,"x","reshape","string_or_numeric")},n={shape:t};return L.runKernel(Hl,a,n)}var Q=z({reshape_:kC});function wC(e,t,a,n,r){let s=E(e,"x","avgPool","float32"),i=1;F(wr(a,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]])),F(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Cn("avgPool",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r},c=L.runKernel(Qs,u,p);return c=Xe(c,s.dtype),l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var r1=z({avgPool_:wC});function IC(e,t,a,n,r,s="NDHWC"){let i=E(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),F(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),F(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),F(typeof a=="number"&&a>0||Array.isArray(a)&&a[0]>0&&a[1]>0&&a[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${a}'`),Cn("avgPool3d",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r,dataFormat:s},c=L.runKernel(Kc,u,p);return c=Xe(c,o.dtype),l?Q(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var Xx=z({avgPool3d_:IC});function SC(e,t=0){F(e.length>=1,()=>"Pass at least one tensor to concat");let a=ld(e,"tensors","concat","string_or_numeric");if(a[0].dtype==="complex64"&&a.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor - with dtype ${s.dtype}. `)}),a.length===1)return Ia(a[0]);let n=a,r={axis:t};return L.runKernel(Rl,n,r)}var st=z({concat_:SC});function TC(e,t,a=!1,n=!1){let r=E(e,"a","matMul"),s=E(t,"b","matMul");[r,s]=Tt(r,s);let i={a:r,b:s},o={transposeA:a,transposeB:n};return L.runKernel(ei,i,o)}var lt=z({matMul_:TC});function CC(e){let t={x:E(e,"x","sigmoid","float32")};return L.runKernel(ro,t)}var Ba=z({sigmoid_:CC});function NC(e,t,a){let n=E(e,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let r={x:n},s={begin:t,size:a};return L.runKernel(Xl,r,s)}var Fe=z({slice_:NC});function EC(e){let t={x:E(e,"x","tanh","float32")};return L.runKernel(ho,t)}var Mc=z({tanh_:EC});function RC(e,t,a,n,r,s){let i=E(e,"forgetBias","basicLSTMCell"),o=E(t,"lstmKernel","basicLSTMCell"),l=E(a,"lstmBias","basicLSTMCell"),u=E(n,"data","basicLSTMCell"),p=E(r,"c","basicLSTMCell"),c=E(s,"h","basicLSTMCell"),d=st([u,c],1),h=lt(d,o),f=be(h,l),m=f.shape[0],g=f.shape[1]/4,y=[m,g],x=Fe(f,[0,0],y),A=Fe(f,[0,g],y),b=Fe(f,[0,g*2],y),k=Fe(f,[0,g*3],y),S=be(te(Ba(x),Mc(A)),te(p,Ba(be(i,b)))),C=te(Mc(S),Ba(k));return[S,C]}var Kx=z({basicLSTMCell_:RC});function MC(e,t,a){let n=E(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);F(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),F(a.length===t.length,()=>`crops.length is ${a.length} but should be equal to blockShape.length ${t.length}`),F(n.shape[0]%r===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:n},i={blockShape:t,crops:a};return L.runKernel(El,s,i)}var s1=z({batchToSpaceND_:MC});function $C(e){let t;return e.rank===0||e.rank===1?t=Q(e,[1,1,1,e.size]):e.rank===2?t=Q(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function _C(e,t,a,n,r,s){s==null&&(s=.001);let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(a,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;n!=null&&(p=E(n,"offset","batchNorm")),F(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),F(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),F(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let c={x:$C(i),scale:u,offset:p,mean:o,variance:l},d={varianceEpsilon:s},h=L.runKernel(Ai,c,d);return Q(h,i.shape)}var tp=z({batchNorm_:_C});function PC(e,t,a,n,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(a,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return n!=null&&(p=E(n,"offset","batchNorm")),F(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),F(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),F(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&F(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&F(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),tp(i,o,l,p,u,s)}var Zx=z({batchNorm2d_:PC});function FC(e,t,a,n,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(a,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return n!=null&&(p=E(n,"offset","batchNorm")),F(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),F(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),F(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&F(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&F(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),tp(i,o,l,p,u,s)}var Yx=z({batchNorm3d_:FC});function OC(e,t,a,n,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(a,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return n!=null&&(p=E(n,"offset","batchNorm")),F(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),F(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),F(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&F(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&F(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),tp(i,o,l,p,u,s)}var Jx=z({batchNorm4d_:OC});function DC(e,t,a){let n=E(e,"x","bincount"),r=E(t,"weights","bincount");F(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),F(a>=0,()=>`size must be non-negative, but got ${a}.`),F(r.size===n.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${r.shape}.`);let s={x:n,weights:r},i={size:a};return L.runKernel(Sd,s,i)}var i1=z({bincount_:DC});function zC(e,t){let a=E(e,"s0","broadcastArgs","int32"),n=E(t,"s1","broadcastArgs","int32");if(a.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${a.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let r={s0:a,s1:n};return L.runKernel(Zc,r)}var Qx=z({broadcastArgs_:zC});function LC(e,t){let a=E(e,"broadcastTo","x"),n=a.shape;if(tn(t),t.lengtha.rank){let l=a.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(a.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return Ia(a);let i={x:a},o={reps:s};return L.runKernel(ns,i,o)}var rl=z({broadcastTo_:LC});function BC(e){let t={x:E(e,"x","ceil","float32")};return L.runKernel(ai,t)}var eA=z({ceil_:BC});function nr(e,t,a){tn(e);let n={shape:e,value:t,dtype:a};return L.runKernel(Pl,{},n)}function WC(e,t,a){let n=E(e,"x","clipByValue");if(F(t<=a,()=>`Error in clip: min (${t}) must be less than or equal to max (${a}).`),t===a)return nr(n.shape,t,n.dtype);let r={x:n},s={clipValueMin:t,clipValueMax:a};return L.runKernel(as,r,s)}var tA=z({clipByValue_:WC});function VC(e){return st(e,0)}var aA=z({concat1d_:VC});function UC(e,t){return st(e,t)}var ru=z({concat2d_:UC});function GC(e,t){return st(e,t)}var nA=z({concat3d_:GC});function HC(e,t){return st(e,t)}var rA=z({concat4d_:HC});function jC(e,t,a,n,r="NHWC",s=[1,1],i){let o=E(e,"x","conv2d","float32"),l=E(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),F(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),F(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Cn("conv2d",n,i);let c=r==="NHWC"?u.shape[3]:u.shape[1];F(c===l.shape[2],()=>`Error in conv2d: depth of input (${c}) must match input depth for filter ${l.shape[2]}.`),F(wr(a,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),F(Bs(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),F(Bs(a),()=>"Error in conv2D: Strides should be larger than 0.");let d={x:u,filter:l},h={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i},f=L.runKernel(ni,d,h);return p?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ap=z({conv2d_:jC});function qC(e,t,a,n,r="NWC",s=1,i){let o=E(e,"x","conv1d"),l=E(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1]])),F(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),F(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Cn("conv1d",n,i),F(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),F(wr(a,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${a} and dilation '${s}'`),F(Bs(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),F(Bs(a),()=>"Error in conv1D: Stride should be larger than 0."),F(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let c=Q(l,[1,l.shape[0],l.shape[1],l.shape[2]]),d=Q(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=ap(d,c,[1,a],n,"NHWC",[1,s],i);return p?Q(h,[h.shape[2],h.shape[3]]):Q(h,[h.shape[0],h.shape[2],h.shape[3]])}var sA=z({conv1d_:qC});function XC(e,t,a,n,r,s="NHWC",i){F(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),F(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),F(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),F(a.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${a.rank}`);let p=s==="NHWC"?o[3]:o[1],c=s==="NHWC"?l.shape[3]:l.shape[1];F(p===a.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${a.shape[2]}.`),F(c===a.shape[3],()=>`Error in conv2dDerInput: depth of output (${c}) must match output depth for filter ${a.shape[3]}.`),Cn("conv2dDerInput",r,i);let d={dy:l,filter:a},h={strides:n,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},f=L.runKernel(ri,d,h);return u?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var iA=z({conv2DBackpropInput_:XC});function KC(e,t,a,n,r,s){let i=E(e,"x","conv2dTranspose"),o=E(t,"filter","conv2dTranspose");return iA(a,i,o,n,r,"NHWC",s)}var oA=z({conv2dTranspose_:KC});function ZC(e,t,a,n,r="NDHWC",s=[1,1,1]){let i=E(e,"x","conv3d"),o=E(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),F(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),F(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),F(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),F(wr(a,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),F(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`),F(Bs(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),F(Bs(a),()=>"Error in conv3D: Strides should be larger than 0.");let p={x:l,filter:o},c={strides:a,pad:n,dataFormat:r,dilations:s},d=L.runKernel(Jc,p,c);return u?Q(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var lA=z({conv3d_:ZC});function YC(e,t,a,n,r){F(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=Q(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];F(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),F(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),F(a.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${a.rank}`),F(l===a.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${a.shape[3]}.`),F(u===a.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${a.shape[4]}.`);let p={dy:i,filter:a},c={pad:r,strides:n,inputShape:s},d=L.runKernel(Qc,p,c);return o?Q(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var JC=z({conv3DBackpropInput_:YC});function QC(e,t,a,n,r){let s=E(e,"x","conv3dTranspose"),i=E(t,"filter","conv3dTranspose");return JC(a,s,i,n,r)}var uA=z({conv3dTranspose_:QC});function eN(e){let t={x:E(e,"x","cos","float32")};return L.runKernel(si,t)}var dA=z({cos_:eN});function tN(e){let t={x:E(e,"x","cosh","float32")};return L.runKernel(ii,t)}var pA=z({cosh_:tN});function aN(e,t=0,a=!1,n=!1){let r={x:E(e,"x","cumprod")},s={axis:t,exclusive:a,reverse:n};return L.runKernel(oi,r,s)}var cA=z({cumprod_:aN});function nN(e,t=0,a=!1,n=!1){let r={x:E(e,"x","cumsum")},s={axis:t,exclusive:a,reverse:n};return L.runKernel(li,r,s)}var hA=z({cumsum_:nN});function rN(e,t,a,n=!1){let r=E(e,"x","denseBincount"),s=E(t,"weights","denseBincount");F(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),F(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),F(a>=0,()=>`size must be non-negative, but got ${a}.`),F(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:a,binaryOutput:n};return L.runKernel(Nd,i,o)}var fA=z({denseBincount_:rN});function sN(e,t,a="NHWC"){let n=E(e,"x","depthToSpace","float32"),r=a==="NHWC"?n.shape[1]:n.shape[2],s=a==="NHWC"?n.shape[2]:n.shape[3],i=a==="NHWC"?n.shape[3]:n.shape[1];F(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),F(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying +`;return d[d.length-1]=" "+d[d.length-1]+"]"+(s?"":f),d}function gd(e){let t=[];for(let a=0;a`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=a||z1(t,this.size),this.strides=Yl(e)}set(e,...t){t.length===0&&(t=[0]),D(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let a=this.locToIndex(t);this.values[a]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let a=e[e.length-1];for(let n=0;nnh(a))}catch(a){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),On().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=On().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>nh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await On().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(On().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Cl.print(this,e)}clone(){return this.throwIfDisposed(),Cl.clone(this)}toString(e=!1){let t=this.dataSync();return gT(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Cl.cast(this,e)}variable(e=!0,t,a){return this.throwIfDisposed(),On().makeVariable(this,e,t,a)}};Object.defineProperty(gt,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function wT(){return B1("Tensor",()=>gt)}wT();var _d=class extends gt{constructor(e,t,a,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=a}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Cr(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);On().disposeTensor(this),this.dataId=e.dataId,On().incRef(this,null)}dispose(){On().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(_d,Symbol.hasInstance,{value:e=>e instanceof gt&&e.assign!=null&&e.assign instanceof Function});var cA={};Ze(cA,{assertTypesMatch:()=>mA,getTensorsInContainer:()=>U1,isTensorInList:()=>IT,makeTypesMatch:()=>Rt});var j2;(function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"})(j2||(j2={}));var q2;(function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"})(q2||(q2={}));var X2;(function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"})(X2||(X2={}));var K2;(function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"})(K2||(K2={}));var Y2;(function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"})(Y2||(Y2={}));var kT={float32:K2,int32:q2,bool:X2,complex64:Y2};function pa(e,t){if(e==="string"||t==="string"){if(e==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return kT[e][t]}function Ip(e){return pa(e,"int32")}function hA(e){return e!=null&&typeof e=="object"&&"texture"in e&&e.texture instanceof WebGLTexture}function fA(e){return typeof GPUBuffer!="undefined"&&e!=null&&typeof e=="object"&&"buffer"in e&&e.buffer instanceof GPUBuffer}function Rt(e,t){if(e.dtype===t.dtype)return[e,t];let a=pa(e.dtype,t.dtype);return[e.cast(a),t.cast(a)]}function mA(e,t){D(e.dtype===t.dtype,()=>`The dtypes of the first(${e.dtype}) and second(${t.dtype}) input must match`)}function IT(e,t){return t.some(a=>a.id===e.id)}function U1(e){let t=[];return gA(e,t,new Set),t}function gA(e,t,a){if(e==null)return;if(e instanceof gt){t.push(e);return}if(!ST(e))return;let n=e;for(let r in n){let s=n[r];a.has(s)||(a.add(s),gA(s,t,a))}}function ST(e){return Array.isArray(e)||typeof e=="object"}function D2(e){return e.kernelName!=null}var M5=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},$d=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new M5}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Jn(e).forEach(t=>{t.disposeFunc!=null&&t.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let a=t.factory();if(a&&!(a instanceof Kl)&&typeof a.then=="function"){let n=++this.pendingBackendInitId,r=a.then(s=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(a),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,a){e();try{let n=a();return t(),n}catch(n){throw t(),n}}nextTensorId(){return $d.nextTensorId++}nextVariableId(){return $d.nextVariableId++}clone(e){let t=L.runKernel(zi,{x:e}),a={x:e},n=s=>({x:()=>{let i="float32",o={x:s},l={dtype:i};return L.runKernel(ci,o,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,a,[t],n,r,{}),t}runKernel(e,t,a){if(this.backendName==null&&this.backend,ah(e,this.backendName)==null)throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:a})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,a){let n=this.backend.numDataIds(),r=0;a.forEach(o=>{r+=o.dtype==="complex64"?3:1});let s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-r-s;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,a=[],n=this.isTapeOn(),r=this.state.numBytes,s=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let o,l=D2(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(D2(e)){let{kernelName:h,inputs:f,attrs:m}=e;this.backendName==null&&this.backend;let g=ah(h,this.backendName);D(g!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let y=this.backend.numDataIds();o=g.kernelFunc({inputs:f,attrs:m,backend:this.backend});let x=Array.isArray(o)?o:[o];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,y,x);let A=x.map(b=>b.rank!=null?b:this.makeTensorFromTensorInfo(b));if(n){let b=this.getTensorsForGradient(h,f,A);a=this.saveTensorsForBackwardMode(b)}return A}}else{let{forwardFunc:h}=e,f=m=>{n&&(a=m.map(g=>this.keep(this.clone(g))))};i=()=>{let m=this.backend.numDataIds();o=this.tidy(()=>h(this.backend,f));let g=Array.isArray(o)?o:[o];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,m,g),g}}let{inputs:u,attrs:p}=e,c=D2(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(l,u,t,c,a,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(h=>u[h]!=null?u[h].shape:null),outputShapes:t.map(h=>h.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(o)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(t=>this.keep(this.clone(t)))}getTensorsForGradient(e,t,a){let n=G2(e);if(n!=null){let r=n.inputsToSave||[],s=n.outputsToSave||[],i;n.saveAllInputs?(D(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(l=>t[l])):i=r.map(l=>t[l]);let o=a.filter((l,u)=>s[u]);return i.concat(o)}return[]}makeTensor(e,t,a,n){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");a=a||"float32",n=n||this.backend;let r=e;a==="string"&&Br(e[0])&&(r=e.map(o=>kp(o)));let s=n.write(r,t,a),i=new gt(t,a,s,this.nextTensorId());if(this.trackTensor(i,n),a==="string"){let o=this.state.tensorInfo.get(s),l=tA(r);this.state.numBytes+=l-o.bytes,o.bytes=l}return i}makeTensorFromDataId(e,t,a,n){a=a||"float32";let r={dataId:e,shape:t,dtype:a};return this.makeTensorFromTensorInfo(r,n)}makeTensorFromTensorInfo(e,t){let{dataId:a,shape:n,dtype:r}=e,s=new gt(n,r,a,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,a,n){a=a||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let r=new _d(e,t,a,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let a=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(a=e.size*eh(e.dtype)),this.state.numBytes+=a,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:a})),e instanceof _d||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let a=e.size*eh(e.dtype);this.state.numBytes-=a}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,a=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-a;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,a,n,r,s){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:a,saved:r},o=G2(e);o!=null&&(n=o.gradFunc),n!=null&&(i.gradient=l=>(l=l.map((u,p)=>{if(u==null){let c=a[p],d=vh(c.size,c.dtype);return this.makeTensor(d,c.shape,c.dtype)}return u}),n(l.length>1?l:l[0],r,s))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=U1(e),a=new Set(t.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===n.id&&this.track(r)})}gradients(e,t,a,n=!1){if(D(t.length>0,()=>"gradients() received an empty list of xs."),a!=null&&a.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${a.dtype}'`);let r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));D(r instanceof gt,()=>"The result y returned by f() must be a tensor.");let s=fT(this.state.activeTape,t,r);if(!n&&s.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[r.id]=a==null?CT(r.shape):a,mT(i,s,l=>this.tidy(l),TT);let o=t.map(l=>i[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(let u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:o}})}customGrad(e){return D(qr(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{D(t.every(i=>i instanceof gt),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let a,n={};t.forEach((i,o)=>{n[o]=i});let r=(i,o)=>(a=e(...t,o),D(a.value instanceof gt,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),D(qr(a.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),a.value),s=(i,o)=>{let l=a.gradFunc(i,o),u=Array.isArray(l)?l:[l];D(u.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),D(u.every(c=>c instanceof gt),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let p={};return u.forEach((c,d)=>{p[d]=()=>c}),p};return this.runKernelFunc({forwardFunc:r,backwardsFunc:s,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Fd(),a=await this.backend.time(e);return a.wallMs=Fd()-t,a}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new M5;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};$d.nextTensorId=0;$d.nextVariableId=0;function CT(e){let t=L1(vt(e),"float32");return L.makeTensor(t,e,"float32")}function yA(){let e=iA();if(e._tfengine==null){let t=new sA(e);e._tfengine=new $d(t)}return GC(e._tfengine.ENV),AT(()=>e._tfengine),e._tfengine}var L=yA();function TT(e,t){let a={a:e,b:t};return L.runKernel(ns,a)}var Sp={};Ze(Sp,{isBrowser:()=>xA,isMobile:()=>ET,mockIsMobile:()=>RT});function NT(){return typeof navigator!="undefined"&&navigator!=null}var Z2;function RT(e){Z2=e}function ET(e){if(Z2!==void 0)return Z2;if(e||NT()){if(e||(e=navigator),e.product==="ReactNative")return!0;let t=e.userAgent||e.vendor||(typeof window!="undefined"?window.opera:"");if(!t){let a=e;return a.userAgentData&&a.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function xA(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var Va=W();Va.registerFlag("DEBUG",()=>!1,e=>{e&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});Va.registerFlag("IS_BROWSER",()=>xA());Va.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");Va.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));Va.registerFlag("IS_SAFARI",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Safari/.test(navigator.userAgent)&&/Apple/.test(navigator.vendor));Va.registerFlag("PROD",()=>!1);Va.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>Va.getBool("DEBUG"));Va.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);Va.registerFlag("IS_TEST",()=>!1);Va.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>Va.getBool("DEBUG"));Va.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);Va.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);Va.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function Qn(e,t){let a=e;if(Zt(e))return t==="string"?[]:[e.length];if(hA(e)){let r=e.channels||"RGBA";return[e.height,e.width*r.length]}else if(fA(e))return[e.buffer.size/(t==null?4:eh(t))];if(!Array.isArray(e))return[];let n=[];for(;Array.isArray(a)||Zt(a)&&t!=="string";)n.push(a.length),a=a[0];return Array.isArray(e)&&W().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&AA(e,n,[]),n}function AA(e,t,a){if(a=a||[],!Array.isArray(e)&&!Zt(e)){D(t.length===0,()=>`Element arr[${a.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}D(t.length>0,()=>`Element arr[${a.join("][")}] should be a primitive, but is an array of ${e.length} elements`),D(e.length===t[0],()=>`Element arr[${a.join("][")}] should have ${t[0]} elements, but has ${e.length} elements`);let n=t.slice(1);for(let r=0;r=0&&(r=n),F5(n,r,t,a),e==null||!Zt(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string"){let o=e==null?"null":e.constructor.name;throw new Error(`Argument '${t}' passed to '${a}' must be a Tensor or TensorLike, but got '${o}'`)}let s=Qn(e,r);!Zt(e)&&!Array.isArray(e)&&(e=[e]);let i=r!=="string"?Rh(e,r):Zr(e,[],!0);return L.makeTensor(i,s,r)}function Dd(e,t,a,n="numeric"){if(!Array.isArray(e))throw new Error(`Argument ${t} passed to ${a} must be a \`Tensor[]\` or \`TensorLike[]\``);return e.map((r,s)=>R(r,`${t}[${s}]`,a,n))}var G1="__op";function z(e){let t=Object.keys(e);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let a=t[0],n=e[a];a.endsWith("_")&&(a=a.substring(0,a.length-1)),a=a+G1;let r=(...s)=>{L.startScope(a);try{let i=n(...s);return wh(i)&&console.error("Cannot return a Promise inside of tidy."),L.endScope(i),i}catch(i){throw L.endScope(null),i}};return Object.defineProperty(r,"name",{value:a,configurable:!0}),r}function MT(e,t){let a=R(e,"real","complex"),n=R(t,"imag","complex");Na(a.shape,n.shape,`real and imag shapes, ${a.shape} and ${n.shape}, must match in call to tf.complex().`);let r={real:a,imag:n};return L.runKernel(tp,r)}var Sr=z({complex_:MT});function os(e,t,a,n){if(n==null)n=Qd(e);else if(n==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(fA(e)||hA(e)){if(n!=="float32"&&n!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${n}.`);return L.backend.createTensorFromGPUData(e,t||a,n)}if(!Zt(e)&&!Array.isArray(e)&&typeof e!="number"&&typeof e!="boolean"&&typeof e!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){an(t);let r=vt(t),s=vt(a);D(r===s,()=>`Based on the provided shape, [${t}], the tensor should have ${r} values but has ${s}`);for(let i=0;i`Error creating a new Tensor. Inferred shape (${a}) does not match the provided shape (${t}). `)}}return!Zt(e)&&!Array.isArray(e)&&(e=[e]),t=t||a,e=n!=="string"?Rh(e,n):Zr(e,[],!0),L.makeTensor(e,t,n)}function Ve(e,t,a){let n=Qn(e,a);return os(e,t,n,a)}var J2={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8},rh=4;async function FT(e,t){let a=[],n=[],r=Array.isArray(e)?e.map(i=>i.name):Object.keys(e);for(let i=0;i{let d=await l.bytes(),h=d.reduce((g,y)=>g+y.length,0)+rh*d.length,f=new Uint8Array(h),m=0;for(let g=0;g{if(t+=s.byteLength,a.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let n=new Uint8Array(t),r=0;return a.forEach(s=>{n.set(new Uint8Array(s.buffer),r),r+=s.byteLength}),n.buffer}var H1=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function _5(e){return H1?Buffer.byteLength(e):new Blob([e]).size}function $T(e){if(H1)return Buffer.from(e).toString("base64");let t=new Uint8Array(e),a="";for(let n=0,r=t.length;n{t+=r.byteLength});let a=new Uint8Array(t),n=0;return e.forEach(r=>{a.set(new Uint8Array(r),n),n+=r.byteLength}),a.buffer}function $5(e){let t="/";for(e=e.trim();e.endsWith(t);)e=e.slice(0,e.length-1);let a=e.split(t);return a[a.length-1]}function vA(e,t){let a={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return e.signature!=null&&(a.signature=e.signature),e.userDefinedMetadata!=null&&(a.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(a.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(a.initializerSignature=e.initializerSignature),e.trainingConfig!=null&&(a.trainingConfig=e.trainingConfig),a}function wA(e,t,a){let n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(e.trainingConfig!=null&&(n.trainingConfig=e.trainingConfig),e.weightsManifest!=null){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!a)throw new Error("modelJSON has weightsManifest but weightData is null");n.weightSpecs=t,n.weightData=a}return e.signature!=null&&(n.signature=e.signature),e.userDefinedMetadata!=null&&(n.userDefinedMetadata=e.userDefinedMetadata),e.modelInitializer!=null&&(n.modelInitializer=e.modelInitializer),e.initializerSignature!=null&&(n.initializerSignature=e.initializerSignature),n}async function q1(e,t){let a,n;return e.weightsManifest!=null&&([a,n]=await t(e.weightsManifest)),wA(e,a,n)}function Cp(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:e.modelTopology==null?0:_5(JSON.stringify(e.modelTopology)),weightSpecsBytes:e.weightSpecs==null?0:_5(JSON.stringify(e.weightSpecs)),weightDataBytes:e.weightData==null?0:e.weightData.byteLength}}function kA(e){let t=[];for(let a of e)t.push(...a.weights);return t}function PT(){let e=a=>{let n=a<<13,r=0;for(;!(n&8388608);)r-=8388608,n<<=1;return n&=-8388609,r+=947912704,n|r},t=new Uint32Array(2048);t[0]=0;for(let a=1;a<1024;a++)t[a]=e(a);for(let a=1024;a<2048;a++)t[a]=939524096+(a-1024<<13);return t}function OT(){let e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(let t=1;t<31;t++)e[t]=t<<23;for(let t=33;t<63;t++)e[t]=2147483648+(t-32<<23);return e}function zT(){let e=new Uint32Array(64);for(let t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}function LT(){let e=PT(),t=OT(),a=zT();return n=>{let r=new ArrayBuffer(4*n.length),s=new Uint32Array(r);for(let i=0;i>10]+(o&1023)]+t[o>>10];s[i]=l}return new Float32Array(r)}}var _t=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return _t.instance==null&&(_t.instance=new _t),_t.instance}static registerSaveRouter(e){_t.getInstance().saveRouters.push(e)}static registerLoadRouter(e){_t.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return _t.getHandlers(e,"save")}static getLoadHandlers(e,t){return _t.getHandlers(e,"load",t)}static getHandlers(e,t,a){let n=[];return(t==="load"?_t.getInstance().loadRouters:_t.getInstance().saveRouters).forEach(r=>{let s=r(e,a);s!==null&&n.push(s)}),n}},WT=e=>_t.registerSaveRouter(e),BT=e=>_t.registerLoadRouter(e),VT=e=>_t.getSaveHandlers(e),UT=(e,t)=>_t.getLoadHandlers(e,t),Q2="tensorflowjs",e1=1,Ws="models_store",Vr="model_info_store";function IA(){if(!W().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let e=typeof window=="undefined"?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function t1(e){let t=e.result;t.createObjectStore(Ws,{keyPath:"modelPath"}),t.createObjectStore(Vr,{keyPath:"modelPath"})}var Us=class{constructor(e){if(this.indexedDB=IA(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((a,n)=>{let r=this.indexedDB.open(Q2,e1);r.onupgradeneeded=()=>t1(r),r.onsuccess=()=>{let s=r.result;if(t==null){let i=s.transaction(Ws,"readonly"),o=i.objectStore(Ws).get(this.modelPath);o.onsuccess=()=>{if(o.result==null)return s.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));a(o.result.modelArtifacts)},o.onerror=l=>(s.close(),n(o.error)),i.oncomplete=()=>s.close()}else{let i=Cp(t),o=s.transaction(Vr,"readwrite"),l=o.objectStore(Vr),u;try{u=l.put({modelPath:this.modelPath,modelArtifactsInfo:i})}catch(c){return n(c)}let p;u.onsuccess=()=>{p=s.transaction(Ws,"readwrite");let c=p.objectStore(Ws),d;try{d=c.put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i})}catch(h){return n(h)}d.onsuccess=()=>a({modelArtifactsInfo:i}),d.onerror=h=>{l=o.objectStore(Vr);let f=l.delete(this.modelPath);f.onsuccess=()=>(s.close(),n(d.error)),f.onerror=m=>(s.close(),n(d.error))}},u.onerror=c=>(s.close(),n(u.error)),o.oncomplete=()=>{p==null?s.close():p.oncomplete=()=>s.close()}}},r.onerror=s=>n(r.error)})}};Us.URL_SCHEME="indexeddb://";var SA=e=>W().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Us.URL_SCHEME)?GT(e.slice(Us.URL_SCHEME.length)):null;_t.registerSaveRouter(SA);_t.registerLoadRouter(SA);function GT(e){return new Us(e)}function HT(e){return e.startsWith(Us.URL_SCHEME)?e.slice(Us.URL_SCHEME.length):e}var jT=class{constructor(){this.indexedDB=IA()}async listModels(){return new Promise((e,t)=>{let a=this.indexedDB.open(Q2,e1);a.onupgradeneeded=()=>t1(a),a.onsuccess=()=>{let n=a.result,r=n.transaction(Vr,"readonly"),s=r.objectStore(Vr).getAll();s.onsuccess=()=>{let i={};for(let o of s.result)i[o.modelPath]=o.modelArtifactsInfo;e(i)},s.onerror=i=>(n.close(),t(s.error)),r.oncomplete=()=>n.close()},a.onerror=n=>t(a.error)})}async removeModel(e){return e=HT(e),new Promise((t,a)=>{let n=this.indexedDB.open(Q2,e1);n.onupgradeneeded=()=>t1(n),n.onsuccess=()=>{let r=n.result,s=r.transaction(Vr,"readwrite"),i=s.objectStore(Vr),o=i.get(e),l;o.onsuccess=()=>{if(o.result==null)return r.close(),a(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let u=i.delete(e),p=()=>{l=r.transaction(Ws,"readwrite");let c=l.objectStore(Ws).delete(e);c.onsuccess=()=>t(o.result.modelArtifactsInfo),c.onerror=d=>a(o.error)};u.onsuccess=p,u.onerror=c=>(p(),r.close(),a(o.error))}},o.onerror=u=>(r.close(),a(o.error)),s.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},n.onerror=r=>a(n.error)})}},vr="/",Tl="tensorflowjs_models",CA="info",qT="model_topology",XT="weight_specs",KT="weight_data",YT="model_metadata";function TA(e){return{info:[Tl,e,CA].join(vr),topology:[Tl,e,qT].join(vr),weightSpecs:[Tl,e,XT].join(vr),weightData:[Tl,e,KT].join(vr),modelMetadata:[Tl,e,YT].join(vr)}}function NA(e){for(let t of Object.values(e))window.localStorage.removeItem(t)}function ZT(e){let t=e.split(vr);if(t.length<3)throw new Error(`Invalid key format: ${e}`);return t.slice(1,t.length-1).join(vr)}function JT(e){return e.startsWith(Gs.URL_SCHEME)?e.slice(Gs.URL_SCHEME.length):e}var Gs=class{constructor(e){if(!W().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=TA(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),a=JSON.stringify(e.weightSpecs),n=Cp(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,a),this.LS.setItem(this.keys.weightData,$T(e.weightData));let r={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(r)),{modelArtifactsInfo:n}}catch(r){throw NA(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},a=JSON.parse(this.LS.getItem(this.keys.topology));if(a==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=a;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let r=this.LS.getItem(this.keys.modelMetadata);if(r!=null){let i=JSON.parse(r);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let s=this.LS.getItem(this.keys.weightData);if(s==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=DT(s),t}};Gs.URL_SCHEME="localstorage://";var RA=e=>W().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Gs.URL_SCHEME)?QT(e.slice(Gs.URL_SCHEME.length)):null;_t.registerSaveRouter(RA);_t.registerLoadRouter(RA);function QT(e){return new Gs(e)}var eN=class{constructor(){D(W().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),D(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Tl+vr,a=vr+CA;for(let n=0;n"scheme must not be undefined or null."),e.endsWith(El)&&(e=e.slice(0,e.indexOf(El))),D(e.length>0,()=>"scheme must not be an empty string.");let a=La.getInstance();D(a.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),a.managers[e]=t}static getManager(e){let t=La.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(La.getInstance().managers)}};function jc(e){if(e.indexOf(El)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${La.getSchemes().join(",")}`);return{scheme:e.split(El)[0],path:e.split(El)[1]}}async function EA(e,t,a=!1){D(e!==t,()=>`Old path and new path are the same: '${e}'`);let n=_t.getLoadHandlers(e);D(n.length>0,()=>`Copying failed because no load handler is found for source URL ${e}.`),D(n.length<2,()=>`Copying failed because more than one (${n.length}) load handlers for source URL ${e}.`);let r=n[0],s=_t.getSaveHandlers(t);D(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${t}.`),D(s.length<2,()=>`Copying failed because more than one (${n.length}) save handlers for destination URL ${t}.`);let i=s[0],o=jc(e).scheme,l=jc(e).path,u=o===jc(e).scheme,p=await r.load();a&&u&&await La.getManager(o).removeModel(l);let c=await i.save(p);return a&&!u&&await La.getManager(o).removeModel(l),c.modelArtifactsInfo}async function tN(){let e=La.getSchemes(),t={};for(let a of e){let n=await La.getManager(a).listModels();for(let r in n){let s=a+El+r;t[s]=n[r]}}return t}async function aN(e){let t=jc(e);return La.getManager(t.scheme).removeModel(t.path)}async function nN(e,t){return EA(e,t,!1)}async function rN(e,t){return EA(e,t,!0)}var sN=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!W().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",a=>{if(a.source===window&&a.data.name===this.messageName){a.stopPropagation();let n=this.functionRefs[a.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return lA(e)}};if(W().get("IS_BROWSER")){W().setPlatform("browser",new sN);try{La.registerManager(Gs.URL_SCHEME,new eN)}catch(e){}try{La.registerManager(Us.URL_SCHEME,new jT)}catch(e){}}var iN={importFetch:()=>uC()},P2,oN=class{constructor(){this.util=dC(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return W().global.fetch!=null?W().global.fetch(e,t):(P2==null&&(P2=iN.importFetch()),P2(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};W().get("IS_NODE")&&!W().get("IS_BROWSER")&&W().setPlatform("node",new oN);function $e(e,t="float32",a){return t=t||"float32",an(e),new Wt(e,t,a)}function lN(e,t){let a=R(e,"x","cast");if(!eA(t))throw new Error(`Failed to cast to unknown dtype ${t}`);if(t==="string"&&a.dtype!=="string"||t!=="string"&&a.dtype==="string")throw new Error("Only strings can be casted to strings");let n={x:a},r={dtype:t};return L.runKernel(ci,n,r)}var Ke=z({cast_:lN});function uN(e){let t={x:R(e,"x","clone","string_or_numeric")};return L.runKernel(zi,t)}var Sa=z({clone_:uN});function X1(e,t=!1){console.log(e.toString(t))}yA();var dN={buffer:$e,cast:Ke,clone:Sa,print:X1};bT(dN);function K1(){W().set("PROD",!0)}function pN(){W().set("DEBUG",!0)}function cN(){W().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Y1(e){W().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}vT(Y1);function hN(){L.disposeVariables()}function It(){return L}function fN(){return L.memory()}function mN(e){return L.profile(e)}function Pe(e,t){return L.tidy(e,t)}function J(e){U1(e).forEach(t=>t.dispose())}function zn(e){return L.keep(e)}function gN(e){return L.time(e)}function Tp(e){return L.setBackend(e)}function Np(){return L.ready()}function ha(){return L.backendName}function yN(e){L.removeBackend(e)}function Z1(e){return L.findBackend(e)}function xN(e){return L.findBackendFactory(e)}function Go(e,t,a=1){return L.registerBackend(e,t,a)}function nr(){return L.backend}function AN(e,t){W().setPlatform(e,t)}function bN(e,t){let a=R(e,"a","add"),n=R(t,"b","add");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(ns,r)}var ke=z({add_:bN});function vN(e,t){let a=R(e,"a","floorDiv"),n=R(t,"b","floorDiv");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(_i,r)}var Rp=z({floorDiv_:vN});function wN(e,t){let a=R(e,"a","div"),n=R(t,"b","div");if([a,n]=Rt(a,n),a.dtype==="int32"&&n.dtype==="int32")return Rp(a,n);let r={a,b:n},s={};return L.runKernel(Ci,r,s)}var ve=z({div_:wN});function kN(e,t){let a=R(e,"a","mul"),n=R(t,"b","mul");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(io,r)}var te=z({mul_:kN});function IN(e){let t=R(e,"x","abs");if(t.dtype==="complex64"){let a={x:t};return L.runKernel(ap,a)}else{let a={x:t};return L.runKernel(Zl,a)}}var Za=z({abs_:IN});function SN(e){let t={x:R(e,"x","acos")};return L.runKernel(Qs,t)}var MA=z({acos_:SN});function CN(e){let t={x:R(e,"x","acosh")};return L.runKernel(ei,t)}var FA=z({acosh_:CN});function TN(e){D(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),D(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>R(r,`tensors${s}`,"addN")),a=t[0];t.forEach(r=>{if(r.dtype!==a.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!Cr(r.shape,a.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return L.runKernel(ti,n)}var Eh=z({addN_:TN});function NN(e,t=null,a=!1){let n={x:R(e,"x","all","bool")},r={axis:t,keepDims:a};return L.runKernel(ai,n,r)}var _A=z({all_:NN});function RN(e,t=null,a=!1){let n={x:R(e,"x","any","bool")},r={axis:t,keepDims:a};return L.runKernel(ni,n,r)}var $A=z({any_:RN});function EN(e,t=0){let a={x:R(e,"x","argMax")},n={axis:t};return L.runKernel(Jl,a,n)}var rr=z({argMax_:EN});function MN(e,t=0){let a={x:R(e,"x","argMin")},n={axis:t};return L.runKernel(Ql,a,n)}var DA=z({argMin_:MN});function FN(e){let t={x:R(e,"x","asin")};return L.runKernel(ri,t)}var PA=z({asin_:FN});function _N(e){let t={x:R(e,"x","asinh")};return L.runKernel(si,t)}var OA=z({asinh_:_N});function $N(e){let t={x:R(e,"x","atan")};return L.runKernel(ii,t)}var zA=z({atan_:$N});function DN(e,t){let a=R(e,"a","atan2"),n=R(t,"b","atan2");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(li,r)}var LA=z({atan2_:DN});function PN(e){let t={x:R(e,"x","atanh")};return L.runKernel(oi,t)}var WA=z({atanh_:PN});function ON(e,t,a,n,r="NHWC",s){let i=e[3],o=[...t,i],l=UA(r);return Ep(e,o,a,s,n,null,null,l)}function BA(e,t,a,n,r,s,i="channelsLast"){let[o,l]=Pd(t),u;if(i==="channelsLast")u=[o,l,e[3],e[3]];else if(i==="channelsFirst")u=[o,l,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return Ep(e,u,a,n,r,s,!1,i)}function zN(e,t,a,n,r,s,i="NDHWC"){let[o,l,u]=a1(t),p,c;if(i==="NDHWC")c="channelsLast",p=[o,l,u,e[4],e[4]];else if(i==="NCDHW")c="channelsFirst",p=[o,l,u,e[1],e[1]];else throw new Error(`Unknown dataFormat ${i}`);return VA(e,p,a,n,r,!1,c,s)}function Ep(e,t,a,n,r,s,i=!1,o="channelsLast"){let[l,u,p,c]=[-1,-1,-1,-1];if(o==="channelsLast")[l,u,p,c]=e;else if(o==="channelsFirst")[l,c,u,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[d,h,,f]=t,[m,g]=Pd(a),[y,x]=Pd(n),A=Ml(d,y),b=Ml(h,x),{padInfo:w,outHeight:C,outWidth:T}=BN(r,u,p,m,g,A,b,s,o),N=i?f*c:f,M;return o==="channelsFirst"?M=[l,N,C,T]:o==="channelsLast"&&(M=[l,C,T,N]),{batchSize:l,dataFormat:o,inHeight:u,inWidth:p,inChannels:c,outHeight:C,outWidth:T,outChannels:N,padInfo:w,strideHeight:m,strideWidth:g,filterHeight:d,filterWidth:h,effectiveFilterHeight:A,effectiveFilterWidth:b,dilationHeight:y,dilationWidth:x,inShape:e,outShape:M,filterShape:t}}function VA(e,t,a,n,r,s=!1,i="channelsLast",o){let[l,u,p,c,d]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[l,u,p,c,d]=e;else if(i==="channelsFirst")[l,d,u,p,c]=e;else throw new Error(`Unknown dataFormat ${i}`);let[h,f,m,,g]=t,[y,x,A]=a1(a),[b,w,C]=a1(n),T=Ml(h,b),N=Ml(f,w),M=Ml(m,C),{padInfo:F,outDepth:E,outHeight:I,outWidth:_}=VN(r,u,p,c,y,x,A,T,N,M,o),O=s?g*d:g,B;return i==="channelsFirst"?B=[l,O,E,I,_]:i==="channelsLast"&&(B=[l,E,I,_,O]),{batchSize:l,dataFormat:i,inDepth:u,inHeight:p,inWidth:c,inChannels:d,outDepth:E,outHeight:I,outWidth:_,outChannels:O,padInfo:F,strideDepth:y,strideHeight:x,strideWidth:A,filterDepth:h,filterHeight:f,filterWidth:m,effectiveFilterDepth:T,effectiveFilterHeight:N,effectiveFilterWidth:M,dilationDepth:b,dilationHeight:w,dilationWidth:C,inShape:e,outShape:B,filterShape:t}}function LN(e,t,a,n,r){n==null&&(n=J1(e,t,a));let s=e[0],i=e[1],o=Od((s-t+2*n)/a+1,r),l=Od((i-t+2*n)/a+1,r);return[o,l]}function WN(e,t,a,n,r,s){r==null&&(r=J1(e,t[0],n[0]));let i=[0,0,0,a];for(let o=0;o<3;o++)e[o]+2*r>=t[o]&&(i[o]=Od((e[o]-t[o]+2*r)/n[o]+1,s));return i}function J1(e,t,a,n=1){let r=Ml(t,n);return Math.floor((e[0]*(a-1)-a+r)/2)}function Pd(e){return typeof e=="number"?[e,e,e]:e.length===2?[e[0],e[1],1]:e}function a1(e){return typeof e=="number"?[e,e,e]:e}function Ml(e,t){return t<=1?e:e+(e-1)*(t-1)}function BN(e,t,a,n,r,s,i,o,l){let u,p,c;if(typeof e=="number"){u={top:e,bottom:e,left:e,right:e,type:e===0?"VALID":"NUMBER"};let d=LN([t,a],s,n,e,o);p=d[0],c=d[1]}else if(e==="same"){p=Math.ceil(t/n),c=Math.ceil(a/r);let d=Math.max(0,(p-1)*n+s-t),h=Math.max(0,(c-1)*r+i-a),f=Math.floor(d/2),m=d-f,g=Math.floor(h/2),y=h-g;u={top:f,bottom:m,left:g,right:y,type:"SAME"}}else if(e==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},p=Math.ceil((t-s+1)/n),c=Math.ceil((a-i+1)/r);else if(typeof e=="object"){let d=l==="channelsLast"?e[1][0]:e[2][0],h=l==="channelsLast"?e[1][1]:e[2][1],f=l==="channelsLast"?e[2][0]:e[3][0],m=l==="channelsLast"?e[2][1]:e[3][1];u={top:d,bottom:h,left:f,right:m,type:d===0&&h===0&&f===0&&m===0?"VALID":"EXPLICIT"},p=Od((t-s+d+h)/n+1,o),c=Od((a-i+f+m)/r+1,o)}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:u,outHeight:p,outWidth:c}}function VN(e,t,a,n,r,s,i,o,l,u,p){let c,d,h,f;if(e==="valid"&&(e=0),typeof e=="number"){c={top:e,bottom:e,left:e,right:e,front:e,back:e,type:e===0?"VALID":"NUMBER"};let m=WN([t,a,n,1],[o,l,u],1,[r,s,i],e,p);d=m[0],h=m[1],f=m[2]}else if(e==="same"){d=Math.ceil(t/r),h=Math.ceil(a/s),f=Math.ceil(n/i);let m=(d-1)*r+o-t,g=(h-1)*s+l-a,y=(f-1)*i+u-n,x=Math.floor(m/2),A=m-x,b=Math.floor(g/2),w=g-b,C=Math.floor(y/2),T=y-C;c={top:b,bottom:w,left:C,right:T,front:x,back:A,type:"SAME"}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:c,outDepth:d,outHeight:h,outWidth:f}}function Od(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error(`Unknown roundingMode ${t}`)}}function zd(e){let[t,a,n]=Pd(e);return t===1&&a===1&&n===1}function Tr(e,t){return zd(e)||zd(t)}function Hs(e){return Pd(e).every(t=>t>0)}function UA(e){if(e==="NHWC")return"channelsLast";if(e==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${e}`)}function Tn(e,t,a){if(a!=null){if(typeof t=="string")throw Error(`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${t}.`);if(typeof t=="number")D($l(t),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${t}.`);else if(typeof t=="object")t.forEach(n=>{n.forEach(r=>{D($l(r),()=>`Error in ${e}: pad must be an integer when using dimRoundingMode ${a} but got pad ${r}.`)})});else throw Error(`Error in ${e}: Unknown padding parameter: ${t}`)}}function UN(e,t){let a={x:R(e,"x","reshape","string_or_numeric")},n={shape:t};return L.runKernel(bu,a,n)}var Q=z({reshape_:UN});function GN(e,t,a,n,r){let s=R(e,"x","avgPool","float32"),i=1;D(Tr(a,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${i}'`);let o=s,l=!1;s.rank===3&&(l=!0,o=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]])),D(o.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),Tn("avgPool",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r},c=L.runKernel(ui,u,p);return c=Ke(c,s.dtype),l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Q1=z({avgPool_:GN});function HN(e,t,a,n,r,s="NDHWC"){let i=R(e,"x","avgPool3d","float32"),o=i,l=!1;i.rank===4&&(l=!0,o=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),D(o.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${o.rank}.`),D(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),D(typeof a=="number"&&a>0||Array.isArray(a)&&a[0]>0&&a[1]>0&&a[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${a}'`),Tn("avgPool3d",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r,dataFormat:s},c=L.runKernel(eu,u,p);return c=Ke(c,o.dtype),l?Q(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var GA=z({avgPool3d_:HN});function jN(e,t=0){D(e.length>=1,()=>"Pass at least one tensor to concat");let a=Dd(e,"tensors","concat","string_or_numeric");if(a[0].dtype==="complex64"&&a.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor + with dtype ${s.dtype}. `)}),a.length===1)return Sa(a[0]);let n=a,r={axis:t};return L.runKernel(nu,n,r)}var lt=z({concat_:jN});function qN(e,t,a=!1,n=!1){let r=R(e,"a","matMul"),s=R(t,"b","matMul");[r,s]=Rt(r,s);let i={a:r,b:s},o={transposeA:a,transposeB:n};return L.runKernel(di,i,o)}var pt=z({matMul_:qN});function XN(e){let t={x:R(e,"x","sigmoid","float32")};return L.runKernel(Eo,t)}var Wa=z({sigmoid_:XN});function KN(e,t,a){let n=R(e,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let r={x:n},s={begin:t,size:a};return L.runKernel(Iu,r,s)}var De=z({slice_:KN});function YN(e){let t={x:R(e,"x","tanh","float32")};return L.runKernel(Wo,t)}var sh=z({tanh_:YN});function ZN(e,t,a,n,r,s){let i=R(e,"forgetBias","basicLSTMCell"),o=R(t,"lstmKernel","basicLSTMCell"),l=R(a,"lstmBias","basicLSTMCell"),u=R(n,"data","basicLSTMCell"),p=R(r,"c","basicLSTMCell"),c=R(s,"h","basicLSTMCell"),d=lt([u,c],1),h=pt(d,o),f=ke(h,l),m=f.shape[0],g=f.shape[1]/4,y=[m,g],x=De(f,[0,0],y),A=De(f,[0,g],y),b=De(f,[0,g*2],y),w=De(f,[0,g*3],y),C=ke(te(Wa(x),sh(A)),te(p,Wa(ke(i,b)))),T=te(sh(C),Wa(w));return[C,T]}var HA=z({basicLSTMCell_:ZN});function JN(e,t,a){let n=R(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);D(n.rank>=1+t.length,()=>`input rank is ${n.rank} but should be > than blockShape.length ${t.length}`),D(a.length===t.length,()=>`crops.length is ${a.length} but should be equal to blockShape.length ${t.length}`),D(n.shape[0]%r===0,()=>`input tensor batch is ${n.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:n},i={blockShape:t,crops:a};return L.runKernel(tu,s,i)}var e3=z({batchToSpaceND_:JN});function QN(e){let t;return e.rank===0||e.rank===1?t=Q(e,[1,1,1,e.size]):e.rank===2?t=Q(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function eR(e,t,a,n,r,s){s==null&&(s=.001);let i=R(e,"x","batchNorm"),o=R(t,"mean","batchNorm"),l=R(a,"variance","batchNorm"),u;r!=null&&(u=R(r,"scale","batchNorm"));let p;n!=null&&(p=R(n,"offset","batchNorm")),D(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),D(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),D(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let c={x:QN(i),scale:u,offset:p,mean:o,variance:l},d={varianceEpsilon:s},h=L.runKernel($i,c,d);return Q(h,i.shape)}var Mp=z({batchNorm_:eR});function tR(e,t,a,n,r,s){let i=R(e,"x","batchNorm"),o=R(t,"mean","batchNorm"),l=R(a,"variance","batchNorm"),u;r!=null&&(u=R(r,"scale","batchNorm"));let p;return n!=null&&(p=R(n,"offset","batchNorm")),D(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),D(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),D(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&D(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&D(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),Mp(i,o,l,p,u,s)}var jA=z({batchNorm2d_:tR});function aR(e,t,a,n,r,s){let i=R(e,"x","batchNorm"),o=R(t,"mean","batchNorm"),l=R(a,"variance","batchNorm"),u;r!=null&&(u=R(r,"scale","batchNorm"));let p;return n!=null&&(p=R(n,"offset","batchNorm")),D(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),D(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),D(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&D(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&D(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),Mp(i,o,l,p,u,s)}var qA=z({batchNorm3d_:aR});function nR(e,t,a,n,r,s){let i=R(e,"x","batchNorm"),o=R(t,"mean","batchNorm"),l=R(a,"variance","batchNorm"),u;r!=null&&(u=R(r,"scale","batchNorm"));let p;return n!=null&&(p=R(n,"offset","batchNorm")),D(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),D(o.rank===4||o.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${o.rank}.`),D(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&D(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),p!=null&&D(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${p.rank}.`),Mp(i,o,l,p,u,s)}var XA=z({batchNorm4d_:nR});function rR(e,t,a){let n=R(e,"x","bincount"),r=R(t,"weights","bincount");D(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),D(a>=0,()=>`size must be non-negative, but got ${a}.`),D(r.size===n.size||r.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${n.shape}, weights shape: ${r.shape}.`);let s={x:n,weights:r},i={size:a};return L.runKernel(pi,s,i)}var t3=z({bincount_:rR});function sR(e,t){let a=R(e,"x","bitwiseAnd"),n=R(t,"y","bitwiseAnd");if(!Cr(a.shape,n.shape))throw new Error(`BitwiseAnd: Tensors must have the same shape. x: ${a.shape}, y: ${n.shape}`);if(a.dtype!=="int32"||n.dtype!=="int32")throw new Error(`BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ${a.dtype} and type of y: ${n.dtype}`);let r={a,b:n};return L.runKernel(Ih,r)}var KA=z({bitwiseAnd_:sR});function iR(e,t){let a=R(e,"s0","broadcastArgs","int32"),n=R(t,"s1","broadcastArgs","int32");if(a.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${a.rank}`);if(n.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${n.rank}`);let r={s0:a,s1:n};return L.runKernel(au,r)}var YA=z({broadcastArgs_:iR});function oR(e,t){let a=R(e,"broadcastTo","x"),n=a.shape;if(an(t),t.lengtha.rank){let l=a.shape.slice();for(;l.length=0;l--)if(r[l]===t[l])s[l]=1;else if(a.shape[l]!==1)throw new Error(`broadcastTo(): [${n}] cannot be broadcast to [${t}].`);if(s.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return Sa(a);let i={x:a},o={reps:s};return L.runKernel(ss,i,o)}var Fl=z({broadcastTo_:oR});function lR(e){let t={x:R(e,"x","ceil","float32")};return L.runKernel(hi,t)}var ZA=z({ceil_:lR});function sr(e,t,a){an(e),a=a||Qd(t);let n={shape:e,value:t,dtype:a};return L.runKernel(du,{},n)}function uR(e,t,a){let n=R(e,"x","clipByValue");if(D(t<=a,()=>`Error in clip: min (${t}) must be less than or equal to max (${a}).`),t===a)return sr(n.shape,t,n.dtype);let r={x:n},s={clipValueMin:t,clipValueMax:a};return L.runKernel(rs,r,s)}var JA=z({clipByValue_:uR});function dR(e){return lt(e,0)}var QA=z({concat1d_:dR});function pR(e,t){return lt(e,t)}var Fu=z({concat2d_:pR});function cR(e,t){return lt(e,t)}var eb=z({concat3d_:cR});function hR(e,t){return lt(e,t)}var tb=z({concat4d_:hR});function fR(e,t,a,n,r="NHWC",s=[1,1],i){let o=R(e,"x","conv2d","float32"),l=R(t,"filter","conv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),D(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),D(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),Tn("conv2d",n,i);let c=r==="NHWC"?u.shape[3]:u.shape[1];D(c===l.shape[2],()=>`Error in conv2d: depth of input (${c}) must match input depth for filter ${l.shape[2]}.`),D(Tr(a,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),D(Hs(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),D(Hs(a),()=>"Error in conv2D: Strides should be larger than 0.");let d={x:u,filter:l},h={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i},f=L.runKernel(fi,d,h);return p?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Fp=z({conv2d_:fR});function mR(e,t,a,n,r="NWC",s=1,i){let o=R(e,"x","conv1d"),l=R(t,"filter","conv1d"),u=o,p=!1;o.rank===2&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1]])),D(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),D(l.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),Tn("conv1d",n,i),D(u.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${l.shape[1]}.`),D(Tr(a,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${a} and dilation '${s}'`),D(Hs(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),D(Hs(a),()=>"Error in conv1D: Stride should be larger than 0."),D(r==="NWC",()=>`Error in conv1d: got dataFormat of ${r} but only NWC is currently supported.`);let c=Q(l,[1,l.shape[0],l.shape[1],l.shape[2]]),d=Q(u,[u.shape[0],1,u.shape[1],u.shape[2]]),h=Fp(d,c,[1,a],n,"NHWC",[1,s],i);return p?Q(h,[h.shape[2],h.shape[3]]):Q(h,[h.shape[0],h.shape[2],h.shape[3]])}var ab=z({conv1d_:mR});function gR(e,t,a,n,r,s="NHWC",i){D(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let o=e,l=t,u=!1;t.rank===3&&(u=!0,l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,e[0],e[1],e[2]]),D(o.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${o.length}.`),D(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),D(a.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${a.rank}`);let p=s==="NHWC"?o[3]:o[1],c=s==="NHWC"?l.shape[3]:l.shape[1];D(p===a.shape[2],()=>`Error in conv2dDerInput: depth of input (${p}) must match input depth for filter ${a.shape[2]}.`),D(c===a.shape[3],()=>`Error in conv2dDerInput: depth of output (${c}) must match output depth for filter ${a.shape[3]}.`),Tn("conv2dDerInput",r,i);let d={dy:l,filter:a},h={strides:n,pad:r,dataFormat:s,dimRoundingMode:i,inputShape:o},f=L.runKernel(mi,d,h);return u?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var nb=z({conv2DBackpropInput_:gR});function yR(e,t,a,n,r,s){let i=R(e,"x","conv2dTranspose"),o=R(t,"filter","conv2dTranspose");return nb(a,i,o,n,r,"NHWC",s)}var rb=z({conv2dTranspose_:yR});function xR(e,t,a,n,r="NDHWC",s=[1,1,1]){let i=R(e,"x","conv3d"),o=R(t,"filter","conv3d"),l=i,u=!1;i.rank===4&&(u=!0,l=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),D(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),D(o.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${o.rank}.`),D(l.shape[4]===o.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${o.shape[3]}.`),D(Tr(a,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),D(r==="NDHWC",()=>`Error in conv3d: got dataFormat of ${r} but only NDHWC is currently supported.`),D(Hs(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),D(Hs(a),()=>"Error in conv3D: Strides should be larger than 0.");let p={x:l,filter:o},c={strides:a,pad:n,dataFormat:r,dilations:s},d=L.runKernel(gi,p,c);return u?Q(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var sb=z({conv3d_:xR});function AR(e,t,a,n,r){D(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,i=t,o=!1;t.rank===4&&(o=!0,i=Q(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);let l=s[4],u=i.shape[4];D(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),D(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),D(a.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${a.rank}`),D(l===a.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${a.shape[3]}.`),D(u===a.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${a.shape[4]}.`);let p={dy:i,filter:a},c={pad:r,strides:n,inputShape:s},d=L.runKernel(yi,p,c);return o?Q(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var bR=z({conv3DBackpropInput_:AR});function vR(e,t,a,n,r){let s=R(e,"x","conv3dTranspose"),i=R(t,"filter","conv3dTranspose");return bR(a,s,i,n,r)}var ib=z({conv3dTranspose_:vR});function wR(e){let t={x:R(e,"x","cos","float32")};return L.runKernel(xi,t)}var ob=z({cos_:wR});function kR(e){let t={x:R(e,"x","cosh","float32")};return L.runKernel(Ai,t)}var lb=z({cosh_:kR});function IR(e,t=0,a=!1,n=!1){let r={x:R(e,"x","cumprod")},s={axis:t,exclusive:a,reverse:n};return L.runKernel(bi,r,s)}var ub=z({cumprod_:IR});function SR(e,t=0,a=!1,n=!1){let r={x:R(e,"x","cumsum")},s={axis:t,exclusive:a,reverse:n};return L.runKernel(vi,r,s)}var db=z({cumsum_:SR});function CR(e,t,a,n=!1){let r=R(e,"x","denseBincount"),s=R(t,"weights","denseBincount");D(r.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${r.dtype}`),D(r.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${r.rank}.`),D(a>=0,()=>`size must be non-negative, but got ${a}.`),D(s.size===r.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${r.shape}, weights shape: ${s.shape}.`);let i={x:r,weights:s},o={size:a,binaryOutput:n};return L.runKernel(su,i,o)}var pb=z({denseBincount_:CR});function TR(e,t,a="NHWC"){let n=R(e,"x","depthToSpace","float32"),r=a==="NHWC"?n.shape[1]:n.shape[2],s=a==="NHWC"?n.shape[2]:n.shape[3],i=a==="NHWC"?n.shape[3]:n.shape[1];D(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),D(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape - ${n.shape}`),F(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying + ${n.shape}`),D(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${s} and ${t} for depthToSpace with input shape - ${n.shape}`),F(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let o={x:n},l={blockSize:t,dataFormat:a};return L.runKernel(di,o,l)}var mA=z({depthToSpace_:sN});function iN(e,t,a,n,r="NHWC",s=[1,1],i){let o=E(e,"x","depthwiseConv2d","float32"),l=E(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),F(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),F(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let c=r==="NHWC"?u.shape[3]:u.shape[1];F(c===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${c}) must match the inChannels dimension in filter ${l.shape[2]}.`),Cn("depthwiseConv2d",n,i);let d={x:u,filter:l},h={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i},f=L.runKernel(pi,d,h);return p?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ch=z({depthwiseConv2d_:iN});function oN(e){let t={x:E(e,"x","diag")};return L.runKernel(Ed,t)}var gA=z({diag_:oN});function lN(e,t,a,n,r=[1,1],s="NHWC"){let i=E(e,"x","dilation2d"),o=E(t,"filter","dilation2d");F(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),F(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),F(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=Q(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0),F(l.shape[3]===o.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${l.shape[3]} vs ${o.shape[2]}`);let p={x:l,filter:o},c={strides:a,pad:n,dilations:r},d=L.runKernel(Rd,p,c);return u?Q(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var yA=z({dilation2d_:lN}),xo={};Ze(xo,{assertAndGetBroadcastShape:()=>zt,getBroadcastDims:()=>xA,getReductionAxes:()=>o1});function xA(e,t){let a=e.length,n=[];for(let r=0;r1&&i===1&&n.unshift(s)}return n}function o1(e,t){let a=[];for(let n=0;n1)&&a.unshift(s)}return a}function zt(e,t){let a=[],n=Math.max(e.length,t.length);for(let r=0;r`Error in dot: inputs must all be rank 1 or 2, but got ranks ${a.rank} and ${n.rank}.`);let r=a.rank===1?a.size:a.shape[1],s=n.rank===1?n.size:n.shape[0];if(F(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),a.rank===1&&n.rank===1){let i=Q(a,[1,-1]),o=Q(n,[-1,1]),l=lt(i,o);return Q(l,[])}else if(a.rank===1&&n.rank===2){let i=Q(a,[1,-1]),o=Q(n,[n.shape[0],n.shape[1]]),l=lt(i,o);return Q(l,[l.size])}else if(a.rank===2&&n.rank===1){let i=Q(n,[-1,1]),o=lt(a,i);return Q(o,[o.size])}else{let i=Q(n,[n.shape[0],n.shape[1]]);return lt(a,i)}}var bA=z({dot_:hN});function fN(e,...t){let a=t.map((r,s)=>E(r,`tensors${s}`,"einsum")),n={equation:e};return L.runKernel(Md,a,n)}var vA=z({einsum_:fN});function mN(e){let t={x:E(e,"x","elu","float32")};return L.runKernel(hi,t)}var u1=z({elu_:mN});function gN(e){let t=E(e,"x","erf");F(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=Xe(t,"float32"));let a={x:t};return L.runKernel(Ml,a)}var kA=z({erf_:gN});function d1(e,t){for(let a=0;ae[s]);return[a,r]}function np(e,t){let a=t.map(n=>1);return wA(e,a,t)}function xN(e,t,a){F(d1(t,a),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${a} input.`)}function AN(e,t){if(d1(e,t))return null;let a=[];for(let n=0;na.push(n)),a}function bN(e){return e.map((t,a)=>[a,t]).sort((t,a)=>t[1]-a[1]).map(t=>t[0])}function vN(e,t){let a=[];for(let n=t-e;n"Axis must be <= rank of the tensor");let n={input:a},r={dim:t};return L.runKernel($l,n,r)}var Gt=z({expandDims_:MN});function $N(e){let t={x:E(e,"x","expm1")};return L.runKernel(_l,t)}var TA=z({expm1_:$N});function _N(e,t){let a=E(e,"x","tile","string_or_numeric");F(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of reps ${t}.`);let n={x:a},r={reps:t};return L.runKernel(ns,n,r)}var Ur=z({tile_:_N});function PN(e,t,a,n="float32"){t==null&&(t=e);let r=_e([e,t],n),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`),F(il(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:a,alpha:n,beta:r},p=L.runKernel(Od,l,u);return o?Q(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var $A=z({localResponseNormalization_:jN});function qN(e){let t={x:E(e,"x","log","float32")};return L.runKernel(Ni,t)}var ul=z({log_:qN});function XN(e){let t={x:E(e,"x","log1p")};return L.runKernel(zl,t)}var g1=z({log1p_:XN});function KN(e){return F(Gr(e),()=>"The f passed in grad(f) must be a function"),(t,a)=>{let n=E(t,"x","tf.grad","string_or_numeric"),r=a!=null?E(a,"dy","tf.grad"):null;return L.tidy(()=>{let{value:s,grads:i}=L.gradients(()=>e(n),[n],r);return r!=null&&Ca(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),fh(i),i[0]})}}function ZN(e){return F(Gr(e),()=>"The f passed in grads(f) must be a function"),(t,a)=>{F(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let n=ld(t,"args","tf.grads","string_or_numeric"),r=a!=null?E(a,"dy","tf.grads"):null;return L.tidy(()=>{let{value:s,grads:i}=L.gradients(()=>e(...n),n,r);return r!=null&&Ca(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),fh(i),i})}}function YN(e){return F(Gr(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,a)=>{F(t instanceof ct,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),F(a==null||a instanceof ct,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:r}=L.gradients(()=>e(t),[t],a);return fh(n),{grad:n[0],value:r}}}function JN(e){return F(Gr(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,a)=>{F(Array.isArray(t)&&t.every(r=>r instanceof ct),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),F(a==null||a instanceof ct,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=L.gradients(()=>e(...t),t,a);return a!=null&&Ca(n.value.shape,a.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),fh(n.grads),n}}function _A(e,t){F(Gr(e),()=>"The f passed in variableGrads(f) must be a function"),F(t==null||Array.isArray(t)&&t.every(u=>u instanceof id),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let a=t!=null;if(!a){t=[];for(let u in L.registeredVariables)t.push(L.registeredVariables[u])}let n=a?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),F(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=L.gradients(e,t,null,s);F(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),F(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),n!=null&&n.forEach(u=>l[u.name]=null),{value:i,grads:l}}function Qn(e){return L.customGrad(e)}function fh(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that - the f you passed encloses all operations that lead from x to y.`)}function QN(e){let t={x:E(e,"x","neg")};return L.runKernel(Bl,t)}var Xn=z({neg_:QN});function eE(e){let t={x:E(e,"x","softplus")};return L.runKernel(Yl,t)}var y1=z({softplus_:eE});function tE(e){let t=E(e,"x","logSigmoid");return Qn(a=>({value:Xn(y1(Xn(a))),gradFunc:n=>te(n,Ba(Xn(a)))}))(t)}var PA=z({logSigmoid_:tE});function aE(e,t){let a=E(e,"a","sub"),n=E(t,"b","sub");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(po,r)}var me=z({sub_:aE});function nE(e,t=-1){let a=E(e,"logits","logSoftmax");if(t===-1&&(t=a.rank-1),t!==a.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${a.rank} and axis was ${t}`);return Qn((n,r)=>{let s=fa(n,t,!0),i=me(n,s),o=me(Xe(i,"float32"),ul(rt(Zr(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,c=!0,d=Zr(p);return me(l,te(rt(l,t,c),d))}}})(a)}var FA=z({logSoftmax_:nE});function rE(e,t=null,a=!1){let n=E(e,"x","logSumExp"),r=wd(t,n.shape),s=fa(n,r,!0),i=me(n,s),o=Zr(i),l=rt(o,r),u=ul(l),p=be(Q(s,u.shape),u);if(a){let c=np(p.shape,r);return Q(p,c)}return p}var x1=z({logSumExp_:rE});function sE(e,t){let a=E(e,"a","logicalAnd","bool"),n=E(t,"b","logicalAnd","bool");zt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Ei,r)}var cd=z({logicalAnd_:sE});function iE(e){let t={x:E(e,"x","logicalNot","bool")};return L.runKernel(Ri,t)}var A1=z({logicalNot_:iE});function oE(e,t){let a=E(e,"a","logicalOr","bool"),n=E(t,"b","logicalOr","bool");zt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Mi,r)}var b1=z({logicalOr_:oE});function lE(e,t){let a=E(e,"a","logicalXor","bool"),n=E(t,"b","logicalXor","bool");return zt(a.shape,n.shape),cd(b1(e,t),A1(cd(e,t)))}var OA=z({logicalXor_:lE}),dc=2147483648;function uE(e,t,a="left"){let n=E(e,"sortedSequence","searchSorted"),r=E(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=r.shape[r.shape.length-1],o=Q(n,[-1,s]),l=Q(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(xt(l.shape)>=dc)throw new Error(`values tensor size must less than ${dc}`);if(o.shape[1]>=dc)throw new Error(`trailing dim_size must less than ${dc} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:a};return L.runKernel(zd,u,p)}var mh=z({searchSorted_:uE});function DA(e,t){return mh(e,t,"left")}function dE(e,t,a,n,r){let s=E(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]])),F(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),F(wr(a,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${i}'`),Cn("maxPool",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r},c=L.runKernel(Pi,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var v1=z({maxPool_:dE});function pE(e,t=[1,1,1],a,n,r,s="NDHWC"){let i=E(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),F(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),F(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Cn("maxPool3d",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r,dataFormat:s},c=L.runKernel(ah,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var zA=z({maxPool3d_:pE});function cE(e,t,a,n,r=!1){let s={x:E(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:a,pad:n,includeBatchInIndex:r},o=L.runKernel(nh,s,i);return{result:o[0],indexes:o[1]}}var LA=z({maxPoolWithArgmax_:cE});function hE(e,t){let a=E(e,"a","maximum"),n=E(t,"b","maximum");[a,n]=Tt(a,n),a.dtype==="bool"&&(a=Xe(a,"int32"),n=Xe(n,"int32")),zt(a.shape,n.shape);let r={a,b:n};return L.runKernel(_i,r)}var k1=z({maximum_:hE});function fE(e,t=null,a=!1){let n={x:E(e,"x","mean")},r={axis:t,keepDims:a};return L.runKernel(Fi,n,r)}var hd=z({mean_:fE});function gn(e,t="float32"){if(tn(e),t==="complex64"){let n=gn(e,"float32"),r=gn(e,"float32");return vr(n,r)}let a=jc(xt(e),t);return L.makeTensor(a,e,t)}function Br(e,t="float32"){if(tn(e),t==="complex64"){let n=Br(e,"float32"),r=gn(e,"float32");return vr(n,r)}let a=O2(xt(e),t);return L.makeTensor(a,e,t)}function BA(e,t,{indexing:a="xy"}={}){if(a!=="xy"&&a!=="ij")throw new TypeError(`${a} is not a valid third argument to meshgrid`);if(e===void 0)return[];let n=E(e,"x","meshgrid",e instanceof ct?e.dtype:"float32");if(t===void 0)return[n];let r=E(t,"y","meshgrid",t instanceof ct?t.dtype:"float32"),s=xt(n.shape),i=xt(r.shape);return a==="xy"?(n=Q(n,[1,-1]),r=Q(r,[-1,1]),[lt(Br([i,1],n.dtype),n),lt(r,Br([1,s],r.dtype))]):(n=Q(n,[-1,1]),r=Q(r,[1,-1]),[lt(n,Br([1,i],n.dtype)),lt(Br([s,1],r.dtype),r)])}function mE(e,t){let a=E(e,"a","minimum"),n=E(t,"b","minimum");[a,n]=Tt(a,n),a.dtype==="bool"&&(a=Xe(a,"int32"),n=Xe(n,"int32")),zt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Di,r)}var w1=z({minimum_:mE});function gE(e,t,a){F(a==="reflect"||a==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${a}.`);let n=E(e,"x","mirrorPad");if(n.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");F(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let r=a==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),F(t[o][0]>=0&&t[o][0]<=n.shape[o]-r&&t[o][1]>=0&&t[o][1]<=n.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${n.shape[o]-r} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:a},i={x:n};return L.runKernel(zi,i,s)}var WA=z({mirrorPad_:gE});function yE(e,t){let a=E(e,"a","mod"),n=E(t,"b","mod");[a,n]=Tt(a,n);let r={a,b:n};return L.runKernel(Ll,r)}var su=z({mod_:yE});function xE(e,t=null,a=!1){e=E(e,"x","moments");let n=wd(t,e.shape),r=hd(e,n,a),s=r.shape;a||(s=np(r.shape,n));let i=Tn(me(Xe(e,"float32"),Q(r,s))),o=hd(i,n,a);return{mean:r,variance:o}}var VA=z({moments_:xE});function AE(e,t,a,n){let r=E(t,"data","multiRNNCell"),s=ld(a,"c","multiRNNCell"),i=ld(n,"h","multiRNNCell"),o=r,l=[];for(let c=0;c2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);a=a||Math.random();let o={logits:i===1?Q(r,[1,-1]):r},l={numSamples:t,seed:a,normalized:n},u=L.runKernel(rh,o,l);return i===1?Q(u,[u.size]):u}var GA=z({multinomial_:bE});function vE(e,t){let a=E(e,"a","notEqual","string_or_numeric"),n=E(t,"b","notEqual","string_or_numeric");[a,n]=Tt(a,n),zt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Bi,r)}var I1=z({notEqual_:vE});function kE(e,t,a=1,n=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:E(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:a,offValue:n};return L.runKernel(Ui,s,i)}var $c=z({oneHot_:kE});function wE(e){let t={x:E(e,"x","onesLike")};return L.runKernel(Vl,t)}var HA=z({onesLike_:wE});function IE(e,t){let a=E(e,"v1","outerProduct"),n=E(t,"v2","outerProduct");F(a.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${a.rank} and ${n.rank}.`);let r=Q(a,[-1,1]),s=Q(n,[1,-1]);return lt(r,s)}var jA=z({outerProduct_:IE});function SE(e,t,a=0){let n=E(e,"x","pad");if(n.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:a},s={x:n};return L.runKernel(Gi,s,r)}var rr=z({pad_:SE});function TE(e,t,a=0){return F(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),rr(e,[t],a)}var qA=z({pad1d_:TE});function CE(e,t,a=0){return F(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),rr(e,t,a)}var XA=z({pad2d_:CE});function NE(e,t,a=0){return F(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),rr(e,t,a)}var KA=z({pad3d_:NE});function EE(e,t,a=0){return F(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),rr(e,t,a)}var ZA=z({pad4d_:EE});function RE(e,t,a){let n=E(e,"x","spaceToBatchND");F(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),F(a.length===t.length,()=>`paddings.shape[0] ${a.length} must be equal to [blockShape] ${t.length}`),F(n.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+a[l-1][0]+a[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${a.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:n},s={blockShape:t,paddings:a};return L.runKernel(Jl,r,s)}var S1=z({spaceToBatchND_:RE});function ME(e,t,a,n,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),n===0&&(n="valid");let o=E(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),F(wr(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=Hx(l.shape,t,s,r,n),c=[p.dilationHeight,p.dilationWidth],d;n==="same"?d=_E([p.filterHeight,p.filterWidth],c):d=[[0,0],[0,0]];let h=c[0]===1&&c[1]===1,[f,m]=$E([p.inHeight,p.inWidth],c,d),g=h?n:"valid",y=h?l:S1(l,c,f),x=(a==="avg"?()=>r1(y,t,s,g,i):()=>v1(y,t,s,g,i))(),A=h?x:s1(x,c,m);return u?Q(A,[A.shape[1],A.shape[2],A.shape[3]]):A}function $E(e,t,a){let n=a.map(p=>p[0]),r=a.map(p=>p[1]),s=e.concat(n,r),i=t.map((p,c)=>(p-s[c]%p)%p),o=r.map((p,c)=>p+i[c]),l=t.map((p,c)=>[n[c],o[c]]),u=t.map((p,c)=>[0,i[c]]);return[l,u]}function _E(e,t){let a=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),n=a.map(s=>Math.floor(s/2)),r=a.map((s,i)=>s-n[i]);return a.map((s,i)=>[n[i],r[i]])}var YA=z({pool_:ME});function PE(e,t){let a=E(e,"x","prelu"),n=E(t,"alpha","prelu"),r={x:a,alpha:n};return L.runKernel(ji,r)}var T1=z({prelu_:PE});function FE(e,t=null,a=!1){let n=E(e,"x","prod");n.dtype==="bool"&&(n=Xe(n,"int32"));let r={x:n},s={axis:t,keepDims:a};return L.runKernel(qi,r,s)}var JA=z({prod_:FE});function OE(e,t,a,n){let r=e.map((p,c)=>E(p,`tensors${c}`,"raggedGather","int32")),s=E(t,"paramsDenseValues","raggedGather"),i=E(a,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:n},u=L.runKernel(sh,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var QA=z({raggedGather_:OE});function DE(e,t,a){let n=E(e,"starts","raggedRange"),r=E(t,"limits","raggedRange",n.dtype),s=E(a,"deltas","raggedRange",n.dtype),i={starts:n,limits:r,deltas:s},o=L.runKernel(ih,i);return{rtNestedSplits:o[0],rtDenseValues:o[1]}}var eb=z({raggedRange_:DE});function zE(e,t,a,n,r){let s=E(e,"shape","raggedTensorToTensor","int32"),i=E(t,"values","raggedTensorToTensor"),o=E(a,"defaultValue","raggedTensorToTensor",i.dtype),l=n.map((c,d)=>E(c,`tensors${d}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return L.runKernel(oh,u,p)}var tb=z({raggedTensorToTensor_:zE});function LE(e,t,a){tn(e);let n=xt(e),r=null;if(a==null||a==="float32")r=new Float32Array(n);else if(a==="int32")r=new Int32Array(n);else if(a==="bool")r=new Uint8Array(n);else throw new Error(`Unknown data type ${a}`);for(let s=0;srb,createVideoElement:()=>qE,encodeStrings:()=>sb,expectArrayBuffersEqual:()=>jE,expectArraysClose:()=>WE,expectArraysEqual:()=>UE,expectNumbersClose:()=>GE,expectPromiseToFail:()=>VE,expectValuesInRange:()=>HE,play:()=>XE,testEpsilon:()=>N1});var BE=.001,rb=.1;function WE(e,t,a){return a==null&&(a=N1()),e2(e,t,(n,r)=>E1(n,r,a))}function N1(){return L.backend.floatPrecision()===32?BE:rb}function e2(e,t,a){let n=!0;if((ia(e)||ia(t))&&(n=!1),ia(e)&&ia(t)&&(n=!0),n){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=Yn(e),o=Yn(t);if(!es(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=ia(e)?e:Xr(e),s=ia(t)?t:Xr(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. + ${n.shape}`),D(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${n.shape}`);let o={x:n},l={blockSize:t,dataFormat:a};return L.runKernel(ki,o,l)}var cb=z({depthToSpace_:TR});function NR(e,t,a,n,r="NHWC",s=[1,1],i){let o=R(e,"x","depthwiseConv2d","float32"),l=R(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),D(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),D(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let c=r==="NHWC"?u.shape[3]:u.shape[1];D(c===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${c}) must match the inChannels dimension in filter ${l.shape[2]}.`),Tn("depthwiseConv2d",n,i);let d={x:u,filter:l},h={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i},f=L.runKernel(Ii,d,h);return p?Q(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Mh=z({depthwiseConv2d_:NR});function RR(e){let t={x:R(e,"x","diag")};return L.runKernel(iu,t)}var hb=z({diag_:RR});function ER(e,t,a,n,r=[1,1],s="NHWC"){let i=R(e,"x","dilation2d"),o=R(t,"filter","dilation2d");D(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),D(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),D(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=Q(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0),D(l.shape[3]===o.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${l.shape[3]} vs ${o.shape[2]}`);let p={x:l,filter:o},c={strides:a,pad:n,dilations:r},d=L.runKernel(Si,p,c);return u?Q(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var fb=z({dilation2d_:ER}),Ho={};Ze(Ho,{assertAndGetBroadcastShape:()=>Bt,getBroadcastDims:()=>mb,getReductionAxes:()=>a3});function mb(e,t){let a=e.length,n=[];for(let r=0;r1&&i===1&&n.unshift(s)}return n}function a3(e,t){let a=[];for(let n=0;n1)&&a.unshift(s)}return a}function Bt(e,t){let a=Math.max(e.length,t.length),n=new Array(a);for(let r=0;r`Error in dot: inputs must all be rank 1 or 2, but got ranks ${a.rank} and ${n.rank}.`);let r=a.rank===1?a.size:a.shape[1],s=n.rank===1?n.size:n.shape[0];if(D(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),a.rank===1&&n.rank===1){let i=Q(a,[1,-1]),o=Q(n,[-1,1]),l=pt(i,o);return Q(l,[])}else if(a.rank===1&&n.rank===2){let i=Q(a,[1,-1]),o=Q(n,[n.shape[0],n.shape[1]]),l=pt(i,o);return Q(l,[l.size])}else if(a.rank===2&&n.rank===1){let i=Q(n,[-1,1]),o=pt(a,i);return Q(o,[o.size])}else{let i=Q(n,[n.shape[0],n.shape[1]]);return pt(a,i)}}var yb=z({dot_:DR});function PR(e,...t){let a=t.map((r,s)=>R(r,`tensors${s}`,"einsum")),n={equation:e};return L.runKernel(ip,a,n)}var xb=z({einsum_:PR});function OR(e){let t={x:R(e,"x","elu","float32")};return L.runKernel(Ti,t)}var r3=z({elu_:OR});function zR(e,t){let a=R(e,"x","ensureShape","string_or_numeric");if(!Yx(a.shape,t))throw new Error(`EnsureShape: Shape of tensor ${a.shape} is not compatible with expected shape ${t}`);return e}var Ab=z({ensureShape_:zR});function LR(e){let t=R(e,"x","erf");D(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=Ke(t,"float32"));let a={x:t};return L.runKernel(lu,a)}var bb=z({erf_:LR});function s3(e,t){for(let a=0;ae[s]);return[a,r]}function _p(e,t){let a=t.map(n=>1);return vb(e,a,t)}function BR(e,t,a){D(s3(t,a),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${a} input.`)}function VR(e,t){if(s3(e,t))return null;let a=[];for(let n=0;na.push(n)),a}function UR(e){return e.map((t,a)=>[a,t]).sort((t,a)=>t[1]-a[1]).map(t=>t[0])}function GR(e,t){let a=[];for(let n=t-e;n"Axis must be <= rank of the tensor");let n={input:a},r={dim:t};return L.runKernel(uu,n,r)}var Ht=z({expandDims_:eE});function tE(e){let t={x:R(e,"x","expm1")};return L.runKernel(Ei,t)}var Ib=z({expm1_:tE});function aE(e,t){let a=R(e,"x","tile","string_or_numeric");D(a.rank===t.length,()=>`Error in transpose: rank of input ${a.rank} must match length of reps ${t}.`);let n={x:a},r={reps:t};return L.runKernel(ss,n,r)}var jr=z({tile_:aE});function nE(e,t,a,n="float32"){t==null&&(t=e);let r=$e([e,t],n),s=e<=t?e:t;for(let o=0;o`Error in localResponseNormalization: x must be rank 3 or 4 but got + rank ${s.rank}.`),D($l(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:a,alpha:n,beta:r},p=L.runKernel(Zi,l,u);return o?Q(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Rb=z({localResponseNormalization_:mE});function gE(e){let t={x:R(e,"x","log","float32")};return L.runKernel(ji,t)}var Ll=z({log_:gE});function yE(e){let t={x:R(e,"x","log1p")};return L.runKernel(qi,t)}var p3=z({log1p_:yE});function xE(e){return D(qr(e),()=>"The f passed in grad(f) must be a function"),(t,a)=>{let n=R(t,"x","tf.grad","string_or_numeric"),r=a!=null?R(a,"dy","tf.grad"):null;return L.tidy(()=>{let{value:s,grads:i}=L.gradients(()=>e(n),[n],r);return r!=null&&Na(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),_h(i),i[0]})}}function AE(e){return D(qr(e),()=>"The f passed in grads(f) must be a function"),(t,a)=>{D(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let n=Dd(t,"args","tf.grads","string_or_numeric"),r=a!=null?R(a,"dy","tf.grads"):null;return L.tidy(()=>{let{value:s,grads:i}=L.gradients(()=>e(...n),n,r);return r!=null&&Na(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),_h(i),i})}}function bE(e){return D(qr(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,a)=>{D(t instanceof gt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),D(a==null||a instanceof gt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:r}=L.gradients(()=>e(t),[t],a);return _h(n),{grad:n[0],value:r}}}function vE(e){return D(qr(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,a)=>{D(Array.isArray(t)&&t.every(r=>r instanceof gt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),D(a==null||a instanceof gt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=L.gradients(()=>e(...t),t,a);return a!=null&&Na(n.value.shape,a.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),_h(n.grads),n}}function Eb(e,t){D(qr(e),()=>"The f passed in variableGrads(f) must be a function"),D(t==null||Array.isArray(t)&&t.every(u=>u instanceof _d),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let a=t!=null;if(!a){t=[];for(let u in L.registeredVariables)t.push(L.registeredVariables[u])}let n=a?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),D(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=L.gradients(e,t,null,s);D(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),D(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),n!=null&&n.forEach(u=>l[u.name]=null),{value:i,grads:l}}function tr(e){return L.customGrad(e)}function _h(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that + the f you passed encloses all operations that lead from x to y.`)}function wE(e){let t={x:R(e,"x","neg")};return L.runKernel(mu,t)}var Ln=z({neg_:wE});function kE(e){let t={x:R(e,"x","softplus")};return L.runKernel(Mo,t)}var c3=z({softplus_:kE});function IE(e){let t=R(e,"x","logSigmoid");return tr(a=>({value:Ln(c3(Ln(a))),gradFunc:n=>te(n,Wa(Ln(a)))}))(t)}var Mb=z({logSigmoid_:IE});function SE(e,t){let a=R(e,"a","sub"),n=R(t,"b","sub");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(zo,r)}var ye=z({sub_:SE});function CE(e,t=-1){let a=R(e,"logits","logSoftmax");if(t===-1&&(t=a.rank-1),t!==a.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${a.rank} and axis was ${t}`);return tr((n,r)=>{let s=ga(n,t,!0),i=ye(n,s),o=ye(Ke(i,"float32"),Ll(ot(Qr(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,c=!0,d=Qr(p);return ye(l,te(ot(l,t,c),d))}}})(a)}var Fb=z({logSoftmax_:CE});function TE(e,t=null,a=!1){let n=R(e,"x","logSumExp"),r=Jd(t,n.shape),s=ga(n,r,!0),i=ye(n,s),o=Qr(i),l=ot(o,r),u=Ll(l),p=ke(Q(s,u.shape),u);if(a){let c=_p(p.shape,r);return Q(p,c)}return p}var h3=z({logSumExp_:TE});function NE(e,t){let a=R(e,"a","logicalAnd","bool"),n=R(t,"b","logicalAnd","bool");Bt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Xi,r)}var Ld=z({logicalAnd_:NE});function RE(e){let t={x:R(e,"x","logicalNot","bool")};return L.runKernel(Ki,t)}var f3=z({logicalNot_:RE});function EE(e,t){let a=R(e,"a","logicalOr","bool"),n=R(t,"b","logicalOr","bool");Bt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Yi,r)}var m3=z({logicalOr_:EE});function ME(e,t){let a=R(e,"a","logicalXor","bool"),n=R(t,"b","logicalXor","bool");return Bt(a.shape,n.shape),Ld(m3(e,t),f3(Ld(e,t)))}var _b=z({logicalXor_:ME}),Lc=2147483648;function FE(e,t,a="left"){let n=R(e,"sortedSequence","searchSorted"),r=R(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=r.shape[r.shape.length-1],o=Q(n,[-1,s]),l=Q(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(vt(l.shape)>=Lc)throw new Error(`values tensor size must less than ${Lc}`);if(o.shape[1]>=Lc)throw new Error(`trailing dim_size must less than ${Lc} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:a};return L.runKernel(Co,u,p)}var $h=z({searchSorted_:FE});function $b(e,t){return $h(e,t,"left")}function _E(e,t,a,n,r){let s=R(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=Q(s,[1,s.shape[0],s.shape[1],s.shape[2]])),D(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),D(Tr(a,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${i}'`),Tn("maxPool",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r},c=L.runKernel(eo,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var g3=z({maxPool_:_E});function $E(e,t=[1,1,1],a,n,r,s="NDHWC"){let i=R(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=Q(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),D(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),D(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("maxPool3d",n,r);let u={x:o},p={filterSize:t,strides:a,pad:n,dimRoundingMode:r,dataFormat:s},c=L.runKernel(hu,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3],c.shape[4]]):c}var Db=z({maxPool3d_:$E});function DE(e,t,a,n,r=!1){let s={x:R(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:a,pad:n,includeBatchInIndex:r},o=L.runKernel(pp,s,i);return{result:o[0],indexes:o[1]}}var Pb=z({maxPoolWithArgmax_:DE});function PE(e,t){let a=R(e,"a","maximum"),n=R(t,"b","maximum");[a,n]=Rt(a,n),a.dtype==="bool"&&(a=Ke(a,"int32"),n=Ke(n,"int32")),Bt(a.shape,n.shape);let r={a,b:n};return L.runKernel(Qi,r)}var y3=z({maximum_:PE});function OE(e,t=null,a=!1){let n={x:R(e,"x","mean")},r={axis:t,keepDims:a};return L.runKernel(to,n,r)}var Wd=z({mean_:OE});function gn(e,t="float32"){if(an(e),t==="complex64"){let n=gn(e,"float32"),r=gn(e,"float32");return Sr(n,r)}let a=vh(vt(e),t);return L.makeTensor(a,e,t)}function Ur(e,t="float32"){if(an(e),t==="complex64"){let n=Ur(e,"float32"),r=gn(e,"float32");return Sr(n,r)}let a=L1(vt(e),t);return L.makeTensor(a,e,t)}function Ob(e,t,{indexing:a="xy"}={}){if(a!=="xy"&&a!=="ij")throw new TypeError(`${a} is not a valid third argument to meshgrid`);if(e===void 0)return[];let n=R(e,"x","meshgrid",e instanceof gt?e.dtype:"float32");if(t===void 0)return[n];let r=R(t,"y","meshgrid",t instanceof gt?t.dtype:"float32"),s=vt(n.shape),i=vt(r.shape);return a==="xy"?(n=Q(n,[1,-1]),r=Q(r,[-1,1]),[pt(Ur([i,1],n.dtype),n),pt(r,Ur([1,s],r.dtype))]):(n=Q(n,[-1,1]),r=Q(r,[1,-1]),[pt(n,Ur([1,i],n.dtype)),pt(Ur([s,1],r.dtype),r)])}function zE(e,t){let a=R(e,"a","minimum"),n=R(t,"b","minimum");[a,n]=Rt(a,n),a.dtype==="bool"&&(a=Ke(a,"int32"),n=Ke(n,"int32")),Bt(a.shape,n.shape);let r={a,b:n};return L.runKernel(no,r)}var Bd=z({minimum_:zE});function LE(e,t,a){D(a==="reflect"||a==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${a}.`);let n=R(e,"x","mirrorPad");if(n.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");D(t.length===n.rank,()=>`Padding doesn't match input. Must be ${n.rank}. Got ${t.length}.`);let r=a==="reflect"?1:0;for(let o=0;o"Invalid number of paddings. Must be length of 2 each."),D(t[o][0]>=0&&t[o][0]<=n.shape[o]-r&&t[o][1]>=0&&t[o][1]<=n.shape[o]-r,()=>`Padding in dimension ${o} cannot be greater than or equal to ${n.shape[o]-r} or less than 0 for input of shape ${n.shape}`);let s={paddings:t,mode:a},i={x:n};return L.runKernel(ro,i,s)}var zb=z({mirrorPad_:LE});function WE(e,t){let a=R(e,"a","mod"),n=R(t,"b","mod");[a,n]=Rt(a,n);let r={a,b:n};return L.runKernel(fu,r)}var _u=z({mod_:WE});function BE(e,t=null,a=!1){e=R(e,"x","moments");let n=Jd(t,e.shape),r=Wd(e,n,a),s=r.shape;a||(s=_p(r.shape,n));let i=Cn(ye(Ke(e,"float32"),Q(r,s))),o=Wd(i,n,a);return{mean:r,variance:o}}var Lb=z({moments_:BE});function VE(e,t,a,n){let r=R(t,"data","multiRNNCell"),s=Dd(a,"c","multiRNNCell"),i=Dd(n,"h","multiRNNCell"),o=r,l=[];for(let c=0;c2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${i}`);a=a||Math.random();let o={logits:i===1?Q(r,[1,-1]):r},l={numSamples:t,seed:a,normalized:n},u=L.runKernel(so,o,l);return i===1?Q(u,[u.size]):u}var Bb=z({multinomial_:UE});function GE(e,t){let a=R(e,"a","notEqual","string_or_numeric"),n=R(t,"b","notEqual","string_or_numeric");[a,n]=Rt(a,n),Bt(a.shape,n.shape);let r={a,b:n};return L.runKernel(oo,r)}var x3=z({notEqual_:GE});function HE(e,t,a=1,n=0,r="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);let s={indices:R(e,"indices","oneHot","int32")},i={dtype:r,depth:t,onValue:a,offValue:n};return L.runKernel(po,s,i)}var oh=z({oneHot_:HE});function jE(e){let t={x:R(e,"x","onesLike")};return L.runKernel(yu,t)}var Vb=z({onesLike_:jE});function qE(e,t){let a=R(e,"v1","outerProduct"),n=R(t,"v2","outerProduct");D(a.rank===1&&n.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${a.rank} and ${n.rank}.`);let r=Q(a,[-1,1]),s=Q(n,[1,-1]);return pt(r,s)}var Ub=z({outerProduct_:qE});function XE(e,t,a=0){let n=R(e,"x","pad");if(n.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let r={paddings:t,constantValue:a},s={x:n};return L.runKernel(co,s,r)}var ir=z({pad_:XE});function KE(e,t,a=0){return D(t.length===2,()=>"Invalid number of paddings. Must be length of 2."),ir(e,[t],a)}var Gb=z({pad1d_:KE});function YE(e,t,a=0){return D(t.length===2&&t[0].length===2&&t[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ir(e,t,a)}var Hb=z({pad2d_:YE});function ZE(e,t,a=0){return D(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ir(e,t,a)}var jb=z({pad3d_:ZE});function JE(e,t,a=0){return D(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ir(e,t,a)}var qb=z({pad4d_:JE});function QE(e,t,a){let n=R(e,"x","spaceToBatchND");D(n.rank>=1+t.length,()=>`input rank ${n.rank} should be > than [blockShape] ${t.length}`),D(a.length===t.length,()=>`paddings.shape[0] ${a.length} must be equal to [blockShape] ${t.length}`),D(n.shape.reduce((i,o,l)=>l>0&&l<=t.length?i&&(o+a[l-1][0]+a[l-1][1])%t[l-1]===0:i,!0),()=>`input spatial dimensions ${n.shape.slice(1)} with paddings ${a.toString()} must be divisible by blockShapes ${t.toString()}`);let r={x:n},s={blockShape:t,paddings:a};return L.runKernel(Cu,r,s)}var A3=z({spaceToBatchND_:QE});function eM(e,t,a,n,r,s,i){r==null&&(r=[1,1]),s==null&&(s=1),n===0&&(n="valid");let o=R(e,"x","maxPool"),l=o,u=!1;o.rank===3&&(u=!0,l=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),D(Tr(s,r),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${r}'`);let p=BA(l.shape,t,s,r,n),c=[p.dilationHeight,p.dilationWidth],d;n==="same"?d=aM([p.filterHeight,p.filterWidth],c):d=[[0,0],[0,0]];let h=c[0]===1&&c[1]===1,[f,m]=tM([p.inHeight,p.inWidth],c,d),g=h?n:"valid",y=h?l:A3(l,c,f),x=(a==="avg"?()=>Q1(y,t,s,g,i):()=>g3(y,t,s,g,i))(),A=h?x:e3(x,c,m);return u?Q(A,[A.shape[1],A.shape[2],A.shape[3]]):A}function tM(e,t,a){let n=a.map(p=>p[0]),r=a.map(p=>p[1]),s=e.concat(n,r),i=t.map((p,c)=>(p-s[c]%p)%p),o=r.map((p,c)=>p+i[c]),l=t.map((p,c)=>[n[c],o[c]]),u=t.map((p,c)=>[0,i[c]]);return[l,u]}function aM(e,t){let a=e.map((s,i)=>s+(s-1)*(t[i]-1)).map(s=>s-1),n=a.map(s=>Math.floor(s/2)),r=a.map((s,i)=>s-n[i]);return a.map((s,i)=>[n[i],r[i]])}var Xb=z({pool_:eM});function nM(e,t){let a=R(e,"x","prelu"),n=R(t,"alpha","prelu"),r={x:a,alpha:n};return L.runKernel(fo,r)}var b3=z({prelu_:nM});function rM(e,t=null,a=!1){let n=R(e,"x","prod");n.dtype==="bool"&&(n=Ke(n,"int32"));let r={x:n},s={axis:t,keepDims:a};return L.runKernel(mo,r,s)}var Kb=z({prod_:rM});function sM(e,t,a,n){let r=e.map((p,c)=>R(p,`tensors${c}`,"raggedGather","int32")),s=R(t,"paramsDenseValues","raggedGather"),i=R(a,"indices","raggedGather","int32"),o={paramsNestedSplits:r,paramsDenseValues:s,indices:i},l={outputRaggedRank:n},u=L.runKernel(Ch,o,l);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var Yb=z({raggedGather_:sM});function iM(e,t,a){let n=R(e,"starts","raggedRange"),r=R(t,"limits","raggedRange",n.dtype),s=R(a,"deltas","raggedRange",n.dtype),i={starts:n,limits:r,deltas:s},o=L.runKernel(Th,i);return{rtNestedSplits:o[0],rtDenseValues:o[1]}}var Zb=z({raggedRange_:iM});function oM(e,t,a,n,r){let s=R(e,"shape","raggedTensorToTensor","int32"),i=R(t,"values","raggedTensorToTensor"),o=R(a,"defaultValue","raggedTensorToTensor",i.dtype),l=n.map((c,d)=>R(c,`tensors${d}`,"raggedTensorToTensor","int32")),u={shape:s,values:i,defaultValue:o,rowPartitionTensors:l},p={rowPartitionTypes:r};return L.runKernel(Nh,u,p)}var Jb=z({raggedTensorToTensor_:oM});function lM(e,t,a){an(e);let n=vt(e),r=null;if(a==null||a==="float32")r=new Float32Array(n);else if(a==="int32")r=new Int32Array(n);else if(a==="bool")r=new Uint8Array(n);else throw new Error(`Unknown data type ${a}`);for(let s=0;st4,createVideoElement:()=>gM,encodeStrings:()=>a4,expectArrayBuffersEqual:()=>mM,expectArraysClose:()=>dM,expectArraysEqual:()=>cM,expectNumbersClose:()=>hM,expectPromiseToFail:()=>pM,expectValuesInRange:()=>fM,play:()=>yM,testEpsilon:()=>w3});var uM=.001,t4=.1;function dM(e,t,a){return a==null&&(a=w3()),n1(e,t,(n,r)=>k3(n,r,a))}function w3(){return L.backend.floatPrecision()===32?uM:t4}function n1(e,t,a){let n=!0;if((Zt(e)||Zt(t))&&(n=!1),Zt(e)&&Zt(t)&&(n=!0),n){let i=e.constructor.name,o=t.constructor.name;if(i!==o)throw new Error(`Arrays are of different type. Actual: ${i}. Expected: ${o}`)}if(Array.isArray(e)&&Array.isArray(t)){let i=Qn(e),o=Qn(t);if(!Cr(i,o))throw new Error(`Arrays have different shapes. Actual: [${i}]. Expected: [${o}]`)}let r=Zt(e)?e:Zr(e),s=Zt(t)?t:Zr(t);if(r.length!==s.length)throw new Error(`Arrays have different lengths actual: ${r.length} vs expected: ${s.length}. Actual: ${r}. Expected: ${s}.`);for(let i=0;it.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function UE(e,t){let a=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return zr(e)||zr(e[0])||zr(t)||zr(t[0])?e2(e,a,(n,r)=>n==r):e2(e,t,(n,r)=>E1(n,r,0))}function GE(e,t,a){if(a==null&&(a=N1()),!E1(e,t,a))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function E1(e,t,a){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>a)}function HE(e,t,a){for(let n=0;na)throw new Error(`Value out of range:${e[n]} low: ${t}, high: ${a}`)}function jE(e,t){let a=new Float32Array(e),n=new Float32Array(t);if(a.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${a.length}`);for(let r=0;r{t.addEventListener("loadeddata",n=>a(t)),t.load()})}async function XE(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var R1=class{constructor(e,t,a,n,r){this.mean=e,this.stdDev=t,this.dtype=a,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let s=r||Math.random();this.random=C1.alea(s.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,a=!1;for(;!a;){let n,r,s;do n=2*this.random()-1,r=2*this.random()-1,s=n*n+r*r;while(s>=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(a=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},KE=class{constructor(e,t,a,n){this.alpha=e,this.beta=1/t,this.dtype=a;let r=n||Math.random();this.randu=C1.alea(r.toString()),this.randn=new R1(0,1,a,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,a,n,r,s;for(;;){do n=this.randn.nextValue(),s=1+this.c*n;while(s<=0);if(s*=s*s,e=n*n,t=1-.331*e*e,a=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=a,n==null&&(n=Math.random()),typeof n=="number"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=C1.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function YE(e,t,a=1,n="float32",r){if(tn(e),a==null&&(a=1),n==null&&(n="float32"),n!=="float32"&&n!=="int32")throw new Error(`Unsupported data type ${n}`);let s=new KE(t,a,n,r),i=_e(e,n);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),Yr(t,0)}var ub=z({reverse1d_:iR});function oR(e,t){let a=E(e,"x","reverse");return F(a.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${a.rank}.`),Yr(a,t)}var db=z({reverse2d_:oR});function lR(e,t){let a=E(e,"x","reverse");return F(a.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${a.rank}.`),Yr(a,t)}var pb=z({reverse3d_:lR});function uR(e,t){let a=E(e,"x","reverse");return F(a.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${a.rank}.`),Yr(a,t)}var cb=z({reverse4d_:uR});function dR(e){let t={x:E(e,"x","round")};return L.runKernel(eo,t)}var P1=z({round_:dR});function pR(e){let t={x:E(e,"x","rsqrt","float32")};return L.runKernel(to,t)}var hb=z({rsqrt_:pR});function cR(e){let t={x:E(e,"x","selu")};return L.runKernel(ql,t)}var fb=z({selu_:cR});function hR(e,t,a,n,r,s=[1,1],i="NHWC"){let o=E(e,"x","separableConv2d"),l=E(t,"depthwiseFilter","separableConv2d"),u=E(a,"pointwiseFilter","separableConv2d"),p=o,c=!1;if(o.rank===3&&(c=!0,p=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");F(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),F(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),F(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),F(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),F(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let d=l.shape[2],h=l.shape[3];F(u.shape[2]===d*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${d*h}, but got ${u.shape[2]}.`);let f=ch(p,l,n,r,i,s),m=ap(f,u,1,"valid",i);return c?Q(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var mb=z({separableConv2d_:hR});async function fR(e,t){let a=E(e,"x","setdiff1d"),n=E(t,"y","setdiff1d");F(a.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${a.dtype}) and y (${n.dtype}).`),F(a.rank===1,()=>`x should be 1D tensor, but got x (${a.shape}).`),F(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let r=await a.data(),s=await n.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),Fe(n,[t],[a])}var bb=z({slice1d_:xR});function AR(e,t,a){let n=E(e,"x","slice2d");return F(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),Fe(n,t,a)}var vb=z({slice2d_:AR});function bR(e,t,a){let n=E(e,"x","slice3d");return F(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),Fe(n,t,a)}var lp=z({slice3d_:bR});function vR(e,t,a){let n=E(e,"x","slice4d");return F(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),Fe(n,t,a)}var gh=z({slice4d_:vR});function kR(e,t=-1){let a=E(e,"logits","softmax","float32");if(t===-1&&(t=a.rank-1),t!==a.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a.rank} and dim was ${t}`);let n={logits:a},r={dim:t};return L.runKernel(oo,n,r)}var yh=z({softmax_:kR});function wR(e){F(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return L.runKernel($d,t)}var xh=z({fft_:wR});function IR(e){F(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return L.runKernel(_d,t)}var fd=z({ifft_:IR});function SR(e){let t=e.shape[e.shape.length-1],a=e.size/t,n;if(t<=2){let r=Q(e,[a,t]);n=fd(r)}else{let r=[a,2*(t-1)],s=Q(pl(e),[a,t]),i=Q(ip(e),[a,t]),o=Yr(Fe(s,[0,1],[a,t-2]),1),l=te(Yr(Fe(i,[0,1],[a,t-2]),1),ze(-1)),u=st([s,o],1),p=st([i,l],1),c=Q(vr(u,p),[r[0],r[1]]);n=fd(c)}if(n=pl(n),e.rank===3&&e.shape[0]!==0){let r=n,s=e.shape[0];n=Q(n,[s,n.shape[0]/s,n.shape[1]]),r.dispose()}return n}var F1=z({irfft_:SR});function TR(e,t,a=0){let n={x:E(e,"x","split")},r={numOrSizeSplits:t,axis:a};return L.runKernel(Ql,n,r)}var Sa=z({split_:TR});function CR(e,t){F(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let a=e.shape[e.shape.length-1],n=e.size/a,r;if(t!=null&&t0),m=e.shape.map(g=>g);m[e.shape.length-1]=t,r=Fe(e,f,m),a=t}else if(t!=null&&t>a){let f=e.shape.map(m=>m);f[e.shape.length-1]=t-a,r=st([e,gn(f)],e.shape.length-1),a=t}else r=e;let s=Ja(r),i=Q(vr(r,s),[n,a]),o=xh(i),l=Math.floor(a/2)+1,u=pl(o),p=ip(o),c=Sa(u,[l,a-l],u.shape.length-1),d=Sa(p,[l,a-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,Q(vr(c[0],d[0]),h)}var Ah=z({rfft_:CR});function NR(e,t){let a=E(e,"a","squaredDifference"),n=E(t,"b","squaredDifference");[a,n]=Tt(a,n),zt(a.shape,n.shape);let r={a,b:n},s={};return L.runKernel(lo,r,s)}var O1=z({squaredDifference_:NR});function ER(e,t){let a=E(e,"x","squeeze","string_or_numeric");return Q(a,nx(a.shape,t).newShape)}var De=z({squeeze_:ER});function RR(e,t=0){let a=ld(e,"tensors","stack","string_or_numeric");F(a.length>=1,()=>"Pass at least one tensor to tf.stack"),a.length>0&&F(t<=a[0].rank,()=>"Axis must be <= rank of the tensor");let n=a,r={axis:t};return L.runKernel(Ul,n,r)}var ua=z({stack_:RR});function MR(e,t=0){let a={x:E(e,"x","step")},n={alpha:t};return L.runKernel(rs,a,n)}var D1=z({step_:MR});function $R(e,t,a,n,r=0,s=0,i=0,o=0,l=0){let u={x:E(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:a,strides:n,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return L.runKernel(uo,u,p)}var kb=z({stridedSlice_:$R});function _R(e){let t={x:E(e,"x","tan","float32")};return L.runKernel(co,t)}var wb=z({tan_:_R});function Ht(e,t){Xs(e);let a=Yn(e,t);if(a.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return ss(e,null,a,t)}function Kn(e,t,a){if(Xs(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let n=Yn(e,a);if(n.length!==2&&n.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return ss(e,t,n,a)}function z1(e,t,a){if(Xs(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let n=Yn(e,a);if(n.length!==3&&n.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return ss(e,t,n,a)}function Ib(e,t,a){if(Xs(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let n=Yn(e,a);if(n.length!==4&&n.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return ss(e,t,n,a)}function Sb(e,t,a){if(Xs(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let n=Yn(e,a);if(n.length!==5&&n.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return ss(e,t,n,a)}function Tb(e,t,a){if(Xs(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let n=Yn(e,a);if(n.length!==6&&n.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||n,ss(e,t,n,a)}function PR(e,t=1,a=!0){let n=E(e,"x","topk");if(n.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let r=n.shape[n.shape.length-1];if(t<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:n},i={k:t,sorted:a},[o,l]=L.runKernel(fo,s,i);return{values:o,indices:l}}var Cb=z({topk_:PR});function FR(e,t=0,a=1,n,r){if(tn(e),n!=null&&n==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new R1(t,a,n,!0,r),i=_e(e,n);for(let o=0;o0,()=>"The input tensor must be at least 1D");let n={x:a},r={axis:t},[s,i]=L.runKernel(lh,n,r);return{values:s,indices:i}}var Eb=z({unique_:OR});function DR(e,t,a){let n=E(e,"x","unsortedSegmentSum"),r=E(t,"segmentIds","unsortedSegmentSum","int32");F(il(a),()=>"numSegments must be of dtype int");let s={x:n,segmentIds:r},i={numSegments:a};return L.runKernel(uh,s,i)}var Rb=z({unsortedSegmentSum_:DR});function zR(e,t=0){let a=E(e,"x","unstack","string_or_numeric");F(t>=-a.shape.length&&t`Axis = ${t} is not in [-${a.shape.length}, ${a.shape.length})`);let n={value:a},r={axis:t};return L.runKernel(au,n,r)}var Na=z({unstack_:zR});function Mb(e,t){return mh(e,t,"right")}function $b(e,t=!0,a,n){return L.makeVariable(e,t,a,n)}function _b(e,t){let a=[];for(let s=0;s0,()=>"mask cannot be scalar"),Ca(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let m=s;mo).reverse()),F(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{F(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let r={x:n},s={perm:t};return n.dtype==="complex64"?Oe(()=>{let i=pl(n),o=ip(n);return i=L.runKernel(Ar,{x:i},s),o=L.runKernel(Ar,{x:o},s),a&&(o=Xn(o)),vr(i,o)}):L.runKernel(Ar,r,s)}var Vs=z({transpose_:WR});function VR(e,t,a,n,r=!0){let s=E(e,"v","movingAverage"),i=E(t,"x","movingAverage"),o=E(a,"decay","movingAverage");Ax(s,i),F(es(s.shape,i.shape),()=>"Shape mismatch in v and x");let l=ze(1),u=me(l,o),p=te(me(i,s),u);if(r){F(n!=null,()=>"When using zeroDebias: true, step is required.");let c=E(n,"step","movingAverage");p=xe(p,me(l,ll(o,c)))}return be(s,p)}var Fb=z({movingAverage_:VR}),B1={};Ze(B1,{calculateShapes:()=>Ob,validateInput:()=>V1,validateUpdateShape:()=>W1});function W1(e,t,a){let n=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${a.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${n}, and batchDim: ${r}.`;if(a.rank1?t.shape[n-1]:1,s=a.length,i=1;for(let c=r;c2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(a.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${a.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==n.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function HR(e,t,a,n=0){tn(a);let r=E(e,"sparseIndices","sparseToDense","int32"),s=E(t,"sparseValues","sparseToDense","string_or_numeric"),i=E(n,"defaultValue","sparseToDense",s.dtype);GR(r,s,a,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:a};return L.runKernel(Vd,o,l)}var zb=z({sparseToDense_:HR});function jR(e,t){let a=E(t,"indices","gatherND","int32"),n={params:E(e,"x","gatherND","string_or_numeric"),indices:a};return L.runKernel(bi,n)}var Lb=z({gatherND_:jR});function qR(e,t){if(t==null)return e.shape.slice();if(es(e.shape,t))return t;if(e.shape.length===t.length){let a=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),F(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof ct?r.clone():r;let s=qR(r,a),i=1-t,o=xe(c1(be($1(s,0,1,"float32",n),i)),i);return te(r,o)}var Bb=z({dropout_:XR});function U1(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function bh(e,t,a){let n=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),F(n.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${r.rank}`),Ca(n.shape.slice(0,n.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=n.shape[n.shape.length-1];F(a>0&&a<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${a}`);let i=await n.data(),o=await r.data(),[l,u]=[i.length/s,s],p=rx("bool",l);for(let c=0;cg.value-m.value),p[c]=0;for(let m=0;mQR,depthwiseConv2d:()=>sM,matMul:()=>oM});function ZR(e,t,a,n,r,s="NHWC",i){let o=e;e.rank===3&&(o=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]])),F(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),F(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),F(a.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${a}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];F(u===a[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${a[2]}.`),F(p===a[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${a[3]}).`),Cn("conv2dDerFilter",r,i);let c={x:o,dy:l},d={strides:n,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:a};return L.runKernel(Cd,c,d)}var YR=z({conv2DBackpropFilter_:ZR});function vh(e,t,a){if(a==null||a==="linear")return e;if(a==="relu")return te(e,D1(t));throw new Error(`Cannot compute gradient for fused activation ${a}.`)}function kh(e,t){let a=t,n=o1(e.shape,t.shape);return n.length>0&&(a=rt(a,n)),Q(a,e.shape)}function wh(e,t,a,n){if(t==="linear")return e;if(t==="relu")return op(e);if(t==="elu")return u1(e);if(t==="relu6")return _1(e);if(t==="prelu")return T1(e,a);if(t==="leakyrelu")return m1(e,n);if(t==="sigmoid")return Ba(e);throw new Error(`Unknown fused activation ${t}.`)}var Ih=(e,t)=>!(e>0)||t==="linear";function JR({x:e,filter:t,strides:a,pad:n,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",Ih(L.state.gradientDepth,l)===!1){F(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let S=ap(e,t,a,n,r,s,i);return o!=null&&(S=be(S,o)),wh(S,l,u,p)}let c=E(e,"x","conv2d","float32"),d=E(t,"filter","conv2d","float32"),h=c,f=!1;c.rank===3&&(f=!0,h=Q(c,[1,c.shape[0],c.shape[1],c.shape[2]])),F(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),F(d.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${d.rank}.`),Cn("fused conv2d",n,i);let m=r==="NHWC"?h.shape[3]:h.shape[1];F(d.shape[2]===m,()=>`Error in conv2d: depth of input (${m}) must match input depth for filter ${d.shape[2]}.`),F(wr(a,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`);let g=ep(h.shape,d.shape,a,s,n,i),y;o!=null&&(y=E(o,"bias","fused conv2d"),[y]=Tt(y,c),r==="NHWC"?zt(g.outShape,y.shape):(F(y.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${y.shape.length}.`),F(y.shape.length===0||y.shape[0]===g.outChannels||y.shape[0]===1,()=>`Error in fused conv2d: bias shape (${y.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let x;if(u!=null){let S=u.shape;if(F(S.length<=1||S.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${S.length}.`),S.length===1)F(S[0]===1||S[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${S}) is not compatible with the number of output channels (${g.outChannels}).`);else if(S.length===3)try{zt(S,g.outShape)}catch(C){let N=`Error in fused conv2d: PReLU activation weights (${S}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(N)}x=E(u,"prelu weights","fused conv2d")}let A=(S,C)=>{F(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[N,$,M,R]=C,I=vh(S,M,l);F(pd(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let _=iA($.shape,I,N,a,n),D=YR($,I,N.shape,a,n),W=[_,D];if(R!=null){let P=kh(R,I);W.push(P)}return W},b={x:h,filter:d,bias:y,preluActivationWeights:x},k={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?Qn((S,C,N)=>{let $=L.runKernel(jr,b,k);return N([C,S,$]),f&&($=Q($,[$.shape[1],$.shape[2],$.shape[3]])),{value:$,gradFunc:A}})(h,d):Qn((S,C,N,$)=>{let M=L.runKernel(jr,b,k);return $([C,S,M,N]),f&&(M=Q(M,[M.shape[1],M.shape[2],M.shape[3]])),{value:M,gradFunc:A}})(h,d,y)}var QR=z({fusedConv2d_:JR});function eM(e,t,a,n,r,s=[1,1],i){let o=e;e.rank===3&&(o=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:n,pad:r,dimRoundingMode:i,dilations:s,filterShape:a};return L.runKernel(eh,u,p)}var tM=z({depthwiseConv2dNativeBackpropFilter_:eM});function aM(e,t,a,n,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:a},p={strides:n,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},c=L.runKernel(th,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var nM=z({depthwiseConv2dNativeBackpropInput_:aM});function rM({x:e,filter:t,strides:a,pad:n,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(Ih(L.state.gradientDepth,l)===!1){let k=ch(e,t,a,n,r,s,i);return o!=null&&(k=be(k,o)),wh(k,l,u,p)}let c=E(e,"x","depthwiseConv2d","float32"),d=E(t,"filter","depthwiseConv2d","float32"),h=c,f=!1;c.rank===3&&(f=!0,h=Q(c,[1,c.shape[0],c.shape[1],c.shape[2]])),F(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),F(d.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${d.rank}.`),F(h.shape[3]===d.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${d.shape[2]}.`),s==null&&(s=[1,1]),F(wr(a,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),Cn("fused depthwiseConv2d",n,i);let m=ep(h.shape,d.shape,a,s,n,i,!0),g;o!=null&&(g=E(o,"bias","fused conv2d"),[g]=Tt(g,c),zt(m.outShape,g.shape));let y;u!=null&&(y=E(u,"prelu weights","fused depthwiseConv2d"));let x=(k,S)=>{F(pd(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[C,N,$,M]=S,R=vh(k,$,l),I=nM(N.shape,R,C,a,n,s,i),_=tM(N,R,C.shape,a,n,s,i);if(M!=null){let D=kh(g,R);return[I,_,D]}return[I,_]},A={x:h,filter:d,bias:g,preluActivationWeights:y},b={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?Qn((k,S,C)=>{let N=L.runKernel(qr,A,b);return C([S,k,N]),f&&(N=Q(N,[N.shape[1],N.shape[2],N.shape[3]])),{value:N,gradFunc:x}})(h,d):Qn((k,S,C,N)=>{let $=L.runKernel(qr,A,b);return N([S,k,$,C]),f&&($=Q($,[$.shape[1],$.shape[2],$.shape[3]])),{value:$,gradFunc:x}})(h,d,g)}var sM=z({fusedDepthwiseConv2d_:rM});function iM({a:e,b:t,transposeA:a=!1,transposeB:n=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(Ih(L.state.gradientDepth,s)===!1){let M=lt(e,t,a,n);return r!=null&&(M=be(M,r)),wh(M,s,i,o)}let l=E(e,"a","fused matMul"),u=E(t,"b","fused matMul");[l,u]=Tt(l,u);let p=a?l.shape[l.rank-2]:l.shape[l.rank-1],c=n?u.shape[u.rank-1]:u.shape[u.rank-2],d=a?l.shape[l.rank-1]:l.shape[l.rank-2],h=n?u.shape[u.rank-2]:u.shape[u.rank-1],f=l.shape.slice(0,-2),m=u.shape.slice(0,-2),g=xt(f),y=xt(m);F(p===c,()=>`Error in fused matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${a} and transposeB=${n} must match.`);let x=zt(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([d,h]),A=a?Q(l,[g,p,d]):Q(l,[g,d,p]),b=n?Q(u,[y,h,c]):Q(u,[y,c,h]),k;r!=null&&(k=E(r,"bias","fused matMul"),[k]=Tt(k,l),zt(x,k.shape));let S;i!=null&&(S=E(i,"prelu weights","fused matMul"));let C=(M,R)=>{let[I,_,D,W]=R,P=vh(Q(M,D.shape),D,s),U,G;if(!a&&!n?(U=lt(P,_,!1,!0),G=lt(I,P,!0,!1)):!a&&n?(U=lt(P,_,!1,!1),G=lt(P,I,!0,!1)):a&&!n?(U=lt(_,P,!1,!0),G=lt(I,P,!1,!1)):(U=lt(_,P,!0,!0),G=lt(P,I,!0,!0)),r!=null){let q=kh(W,P);return[U,G,q]}else return[U,G]},N={a:A,b,bias:k,preluActivationWeights:S},$={transposeA:a,transposeB:n,activation:s,leakyreluAlpha:o};return r==null?Qn((M,R,I)=>{let _=L.runKernel(Hr,N,$);return I([M,R,_]),{value:Q(_,x),gradFunc:C}})(A,b):Qn((M,R,I,_)=>{let D=L.runKernel(Hr,N,$);return _([M,R,D,I]),{value:Q(D,x),gradFunc:C}})(A,b,k)}var oM=z({fusedMatMul_:iM});function lM(e){return bh(e,.54,.46)}var uM=z({hammingWindow_:lM});function dM(e){return bh(e,.5,.5)}var Vb=z({hannWindow_:dM});function pM(e,t,a,n=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(Fe(e,s,t)),s+=a;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),F(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),F(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),F(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),F(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),F(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},c={method:r,extrapolationValue:s,cropSize:n};return L.runKernel(ui,p,c)}var mM=z({cropAndResize_:fM});function gM(e){let t=E(e,"image","flipLeftRight","float32");F(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let a={image:t};return L.runKernel(gi,a,{})}var yM=z({flipLeftRight_:gM});function xM(e){let t=E(e,"image","grayscaleToRGB"),a=t.rank-1,n=t.shape[a];F(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),F(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let r=new Array(t.rank);return r.fill(1,0,a),r[a]=3,Ur(t,r)}var AM=z({grayscaleToRGB_:xM});function bM(e,t,a=0,n=.5){let r=E(e,"image","rotateWithOffset","float32");F(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:a,center:n};return L.runKernel(go,s,i)}var vM=z({rotateWithOffset_:bM});function iu(e,t,a,n,r,s){n==null&&(n=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return a=Math.min(a,i),F(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),F(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),F(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),F(t.rank===1,()=>"scores must be a 1D tensor"),F(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),F(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:a,iouThreshold:n,scoreThreshold:r,softNmsSigma:s}}function kM(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY){let s=E(e,"boxes","nonMaxSuppression","float32"),i=E(t,"scores","nonMaxSuppression","float32"),o=iu(s,i,a,n,r);a=o.maxOutputSize,n=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:a,iouThreshold:n,scoreThreshold:r};return L.runKernel(Wi,{boxes:s,scores:i},l)}var wM=z({nonMaxSuppression_:kM});function IM(e,t,a){let n=SM(e,t,a),r=n<0?-(n+1):n;e.splice(r,0,t)}function SM(e,t,a){return CM(e,t,a||TM)}function TM(e,t){return e>t?1:e>>1);let o=a(t,e[s]);o>0?n=s+1:(r=s,i=!o)}return i?n:-n-1}function Gb(e,t,a,n,r){return H1(e,t,a,n,r,0)}function Hb(e,t,a,n,r,s){return H1(e,t,a,n,r,0,!1,s,!0)}function jb(e,t,a,n,r,s){return H1(e,t,a,n,r,s,!0)}function H1(e,t,a,n,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(V5);let p=s>0?-.5/s:0,c=[],d=[];for(;c.length0;){let g=u.pop(),{score:y,boxIndex:x,suppressBeginIndex:A}=g;if(y=A;--k){let S=NM(e,x,c[k]);if(S>=n){b=!0;break}if(g.score=g.score*EM(n,p,S),g.score<=r)break}g.suppressBeginIndex=c.length,b||(g.score===y?(c.push(x),d.push(g.score)):g.score>r&&IM(u,g,V5))}let h=c.length,f=a-h;o&&f>0&&(c.push(...new Array(f).fill(0)),d.push(...new Array(f).fill(0)));let m={selectedIndices:c};return i&&(m.selectedScores=d),l&&(m.validOutputs=h),m}function NM(e,t,a){let n=e.subarray(t*4,t*4+4),r=e.subarray(a*4,a*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),o=Math.max(n[0],n[2]),l=Math.max(n[1],n[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),c=Math.max(r[0],r[2]),d=Math.max(r[1],r[3]),h=(o-s)*(l-i),f=(c-u)*(d-p);if(h<=0||f<=0)return 0;let m=Math.max(s,u),g=Math.max(i,p),y=Math.min(o,c),x=Math.min(l,d),A=Math.max(y-m,0)*Math.max(x-g,0);return A/(h+f-A)}function EM(e,t,a){let n=Math.exp(t*a*a);return a<=e?n:0}function V5(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function RM(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY){let s=E(e,"boxes","nonMaxSuppressionAsync"),i=E(t,"scores","nonMaxSuppressionAsync"),o=iu(s,i,a,n,r);a=o.maxOutputSize,n=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:c}=Gb(u,p,a,n,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),Ht(c,"int32")}var MM=RM;function $M(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=E(e,"boxes","nonMaxSuppression"),o=E(t,"scores","nonMaxSuppression"),l=iu(i,o,a,n,r,s);a=l.maxOutputSize,n=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:a,iouThreshold:n,scoreThreshold:r,softNmsSigma:s},c=L.runKernel(Vi,u,p);return{selectedIndices:c[0],selectedScores:c[1]}}var _M=z({nonMaxSuppressionWithScore_:$M});async function PM(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=E(e,"boxes","nonMaxSuppressionAsync"),o=E(t,"scores","nonMaxSuppressionAsync"),l=iu(i,o,a,n,r,s);a=l.maxOutputSize,n=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],c=u[1],{selectedIndices:d,selectedScores:h}=jb(p,c,a,n,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ht(d,"int32"),selectedScores:Ht(h)}}var FM=PM;function OM(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=E(e,"boxes","nonMaxSuppression"),o=E(t,"scores","nonMaxSuppression"),l=iu(i,o,a,n,r,null),u=l.maxOutputSize,p=l.iouThreshold,c=l.scoreThreshold,d={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:c,padToMaxOutputSize:s},f=L.runKernel(Wl,d,h);return{selectedIndices:f[0],validOutputs:f[1]}}var DM=z({nonMaxSuppressionPadded_:OM});async function zM(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=E(e,"boxes","nonMaxSuppressionAsync"),o=E(t,"scores","nonMaxSuppressionAsync"),l=iu(i,o,a,n,r,null),u=l.maxOutputSize,p=l.iouThreshold,c=l.scoreThreshold,[d,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:f,validOutputs:m}=Hb(d,h,u,p,c,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:Ht(f,"int32"),validOutputs:ze(m,"int32")}}var LM=zM;function BM(e,t,a=!1,n=!1){let r=E(e,"images","resizeBilinear");F(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),F(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),F(n===!1||a===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=Q(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:a,halfPixelCenters:n,size:t},u=L.runKernel(Yi,o,l);return i?Q(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var WM=z({resizeBilinear_:BM});function VM(e,t,a=!1,n=!1){let r=E(e,"images","resizeNearestNeighbor");F(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),F(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),F(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),F(n===!1||a===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=Q(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:a,halfPixelCenters:n,size:t},u=L.runKernel(Zi,o,l);return i?Q(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var UM=z({resizeNearestNeighbor_:VM});function GM(e,t="binary",a=!1,n=.5){let r=E(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=te(Ht([n]),255),p,c,d,h;if(F(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),F(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),F(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),F(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,c,d]=Sa(r,[1,1,1],-1);let m=te(p,s),g=te(c,i),y=te(d,o);h=be(be(m,g),y)}else h=e;if(t==="otsu"){let m=i1(Xe(P1(h),"int32"),Ue([]),256);u=HM(m,l)}let f=a?hh(h,u):sp(h,u);return Xe(te(f,255),"int32")}function HM(e,t){let a=Ht([-1]),n=Ht([0]),r=Ht([0]),s,i,o,l,u,p;for(let c=0;c`Error in transform: image must be rank 4,but got rank ${i.rank}.`),F(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),F(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:a,fillMode:n,fillValue:r,outputShape:s};return L.runKernel(mo,l,u)}var XM=z({transform_:qM});function KM(e,t,a){F(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),F(a%1===0,()=>`bandPart(): numUpper must be an integer, got ${a}.`);let n=E(e,"a","bandPart");F(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let r=n.shape,[s,i]=n.shape.slice(-2);if(!(t<=s))throw new Error(`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`);if(!(a<=i))throw new Error(`bandPart(): numUpper (${a}) must not be greater than the number of columns (${i}).`);t<0&&(t=s),a<0&&(a=i);let o=Q(dl(0,s,1,"int32"),[-1,1]),l=dl(0,i,1,"int32"),u=me(o,l),p=cd(hh(u,ze(+t,"int32")),f1(u,ze(-a,"int32"))),c=gn([s,i],n.dtype);return Q(ua(Na(Q(n,[-1,s,i])).map(d=>Ws(p,d,c))),r)}var ZM=z({bandPart_:KM});function YM(e){let t;if(Array.isArray(e)){t=!1,F(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=Sa(e,e.shape[0],0).map(r=>De(r,[0]));F(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let a=[],n=e;for(let r=0;r{let s=n[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return U5(e,t);{let a=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),n=Na(Q(e,[a,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];n.forEach(l=>{let[u,p]=U5(l,t);r.push(u),s.push(p)});let i=Q(ua(r,0),e.shape),o=Q(ua(s,0),e.shape);return[i,o]}}function U5(e,t=!1){return L.tidy(()=>{F(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let a=e.shape[0],n=e.shape[1],r=p1(a),s=Ia(e),i=Kn([[1]],[1,1]),o=Ia(i),l=a>=n?n:a;for(let u=0;u{let h=Fe(s,[u,u],[a-u,1]),f=rp(h),m=Fe(s,[u,u],[1,1]),g=Ws(sp(m,0),Kn([[-1]]),Kn([[1]])),y=me(m,te(g,f)),x=xe(h,y);x.shape[0]===1?o=Ia(i):o=st([i,Fe(x,[1,0],[x.shape[0]-1,x.shape[1]])],0);let A=Xn(xe(lt(g,y),f)),b=Fe(s,[u,0],[a-u,n]),k=te(A,o),S=Vs(o);if(u===0)s=me(b,lt(k,lt(S,b)));else{let $=me(b,lt(k,lt(S,b)));s=st([Fe(s,[0,0],[u,n]),$],0)}let C=Vs(k),N=Fe(r,[0,u],[a,r.shape[1]-u]);if(u===0)r=me(N,lt(lt(N,o),C));else{let $=me(N,lt(lt(N,o),C));r=st([Fe(r,[0,0],[a,u]),$],1)}return[o,s,r]}),J([p,c,d])}return!t&&a>n&&(r=Fe(r,[0,0],[a,n]),s=Fe(s,[0,0],[n,n])),[r,s]})}var e$=z({qr_:QM}),va;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(va||(va={}));function t$(e,t,a=va.SUM_BY_NONZERO_WEIGHTS){let n=E(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=E(t,"weights","computeWeightedLoss"));let s=r==null?n:te(n,r);if(a===va.NONE)return s;if(a===va.SUM)return rt(s);if(a===va.MEAN){if(r==null)return hd(s);{let i=n.size/r.size,o=xe(rt(s),rt(r));return i>1?xe(o,ze(i)):o}}if(a===va.SUM_BY_NONZERO_WEIGHTS){if(r==null)return xe(rt(s),ze(n.size));{let i=te(r,Br(n.shape)),o=Xe(rt(I1(i,ze(0))),"float32");return xe(rt(s),o)}}throw Error(`Unknown reduction: ${a}`)}var Ir=z({computeWeightedLoss_:t$});function a$(e,t,a,n=va.SUM_BY_NONZERO_WEIGHTS){let r=E(e,"labels","absoluteDifference"),s=E(t,"predictions","absoluteDifference"),i=null;a!=null&&(i=E(a,"weights","absoluteDifference")),Ca(r.shape,s.shape,"Error in absoluteDifference: ");let o=Za(me(r,s));return Ir(o,i,n)}var n$=z({absoluteDifference_:a$});function r$(e,t,a,n,r=va.SUM_BY_NONZERO_WEIGHTS){let s=E(e,"labels","cosineDistance"),i=E(t,"predictions","cosineDistance"),o=null;n!=null&&(o=E(n,"weights","cosineDistance")),Ca(s.shape,i.shape,"Error in cosineDistance: ");let l=ze(1),u=me(l,rt(te(s,i),a,!0));return Ir(u,o,r)}var s$=z({cosineDistance_:r$});function i$(e,t,a,n=va.SUM_BY_NONZERO_WEIGHTS){let r=E(e,"labels","hingeLoss"),s=E(t,"predictions","hingeLoss"),i=null;a!=null&&(i=E(a,"weights","hingeLoss")),Ca(r.shape,s.shape,"Error in hingeLoss: ");let o=ze(1);r=me(te(ze(2),r),o);let l=op(me(o,te(r,s)));return Ir(l,i,n)}var o$=z({hingeLoss_:i$});function l$(e,t,a,n=1,r=va.SUM_BY_NONZERO_WEIGHTS){let s=E(e,"labels","huberLoss"),i=E(t,"predictions","huberLoss"),o=null;a!=null&&(o=E(a,"weights","huberLoss")),Ca(s.shape,i.shape,"Error in huberLoss: ");let l=ze(n),u=Za(me(i,s)),p=w1(u,l),c=me(u,p),d=be(te(ze(.5),Tn(p)),te(l,c));return Ir(d,o,r)}var u$=z({huberLoss_:l$});function d$(e,t,a,n=1e-7,r=va.SUM_BY_NONZERO_WEIGHTS){let s=E(e,"labels","logLoss"),i=E(t,"predictions","logLoss"),o=null;a!=null&&(o=E(a,"weights","logLoss")),Ca(s.shape,i.shape,"Error in logLoss: ");let l=ze(1),u=ze(n),p=Xn(te(s,ul(be(i,u)))),c=te(me(l,s),ul(be(me(l,i),u))),d=me(p,c);return Ir(d,o,r)}var p$=z({logLoss_:d$});function c$(e,t,a,n=va.SUM_BY_NONZERO_WEIGHTS){let r=E(e,"labels","meanSquaredError"),s=E(t,"predictions","meanSquaredError"),i=null;a!=null&&(i=E(a,"weights","meanSquaredError")),Ca(r.shape,s.shape,"Error in meanSquaredError: ");let o=O1(r,s);return Ir(o,i,n)}var h$=z({meanSquaredError_:c$});function f$(e,t){let a=E(e,"labels","sigmoidCrossEntropyWithLogits"),n=E(t,"logits","sigmoidCrossEntropyWithLogits");Ca(a.shape,n.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=op(n),s=te(n,a),i=g1(Zr(Xn(Za(n))));return be(me(r,s),i)}function m$(e,t,a,n=0,r=va.SUM_BY_NONZERO_WEIGHTS){let s=E(e,"multiClassLabels","sigmoidCrossEntropy"),i=E(t,"logits","sigmoidCrossEntropy"),o=null;if(a!=null&&(o=E(a,"weights","sigmoidCrossEntropy")),Ca(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),n>0){let u=ze(n),p=ze(1),c=ze(.5);s=be(te(s,me(p,u)),te(c,u))}let l=f$(s,i);return Ir(l,o,r)}var g$=z({sigmoidCrossEntropy_:m$});function y$(e,t,a=-1){if(a===-1&&(a=t.rank-1),a!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${a}`);return Qn((n,r,s)=>{let i=x1(r,[a],!0),o=me(Xe(r,"float32"),i);s([n,o]);let l=Xn(te(o,n));return{value:rt(l,[a]),gradFunc:(u,p)=>{let[c,d]=p,h=np(u.shape,[a]);return[te(Q(u,h),me(Xe(c,"float32"),Zr(d))),te(Q(u,h),me(Zr(d),Xe(c,"float32")))]}}})(e,t)}function x$(e,t,a,n=0,r=va.SUM_BY_NONZERO_WEIGHTS){let s=E(e,"onehotLabels","softmaxCrossEntropy"),i=E(t,"logits","softmaxCrossEntropy"),o=null;if(a!=null&&(o=E(a,"weights","softmaxCrossEntropy")),Ca(s.shape,i.shape,"Error in softmaxCrossEntropy: "),n>0){let u=ze(n),p=ze(1),c=ze(s.shape[1]);s=be(te(s,me(p,u)),xe(u,c))}let l=y$(s,i);return Ir(l,o,r)}var A$=z({softmaxCrossEntropy_:x$});function b$(e,t,a,n){let r=E(e,"indices","sparseFillEmptyRows","int32"),s=E(t,"values","sparseFillEmptyRows"),i=E(a,"denseShape","sparseFillEmptyRows","int32"),o=E(n,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape - ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=L.runKernel(Ld,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var v$=z({sparseFillEmptyRows_:b$});function k$(e,t,a){let n=E(e,"inputIndices","sparseReshape","int32"),r=E(t,"inputShape","sparseReshape","int32"),s=E(a,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape - ${n.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:r,newShape:s},o=L.runKernel(eu,i);return{outputIndices:o[0],outputShape:o[1]}}var w$=z({sparseReshape_:k$});function I$(e,t,a){let n=E(e,"data","sparseSegmentMean"),r=E(t,"indices","sparseSegmentMean","int32"),s=E(a,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape +Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function pM(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function cM(e,t){let a=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Br(e)||Br(e[0])||Br(t)||Br(t[0])?n1(e,a,(n,r)=>n==r):n1(e,t,(n,r)=>k3(n,r,0))}function hM(e,t,a){if(a==null&&(a=w3()),!k3(e,t,a))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function k3(e,t,a){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>a)}function fM(e,t,a){for(let n=0;na)throw new Error(`Value out of range:${e[n]} low: ${t}, high: ${a}`)}function mM(e,t){let a=new Float32Array(e),n=new Float32Array(t);if(a.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${a.length}`);for(let r=0;r{t.addEventListener("loadeddata",n=>a(t)),t.load()})}async function yM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var I3=class{constructor(e,t,a,n,r){this.mean=e,this.stdDev=t,this.dtype=a,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let s=r||Math.random();this.random=v3.alea(s.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,a=!1;for(;!a;){let n,r,s;do n=2*this.random()-1,r=2*this.random()-1,s=n*n+r*r;while(s>=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(a=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},xM=class{constructor(e,t,a,n){this.alpha=e,this.beta=1/t,this.dtype=a;let r=n||Math.random();this.randu=v3.alea(r.toString()),this.randn=new I3(0,1,a,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,a,n,r,s;for(;;){do n=this.randn.nextValue(),s=1+this.c*n;while(s<=0);if(s*=s*s,e=n*n,t=1-.331*e*e,a=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),rthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=a,n==null&&(n=Math.random()),typeof n=="number"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=v3.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function bM(e,t,a=1,n="float32",r){if(an(e),a==null&&(a=1),n==null&&(n="float32"),n!=="float32"&&n!=="int32")throw new Error(`Unsupported data type ${n}`);let s=new xM(t,a,n,r),i=$e(e,n);for(let o=0;o`Error in reverse1D: x must be rank 1 but got rank ${t.rank}.`),es(t,0)}var o4=z({reverse1d_:EM});function MM(e,t){let a=R(e,"x","reverse");return D(a.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${a.rank}.`),es(a,t)}var l4=z({reverse2d_:MM});function FM(e,t){let a=R(e,"x","reverse");return D(a.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${a.rank}.`),es(a,t)}var u4=z({reverse3d_:FM});function _M(e,t){let a=R(e,"x","reverse");return D(a.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${a.rank}.`),es(a,t)}var d4=z({reverse4d_:_M});function $M(e){let t={x:R(e,"x","round")};return L.runKernel(wo,t)}var T3=z({round_:$M});function DM(e){let t={x:R(e,"x","rsqrt","float32")};return L.runKernel(ko,t)}var p4=z({rsqrt_:DM});function PM(e){let t={x:R(e,"x","selu")};return L.runKernel(To,t)}var c4=z({selu_:PM});function OM(e,t,a,n,r,s=[1,1],i="NHWC"){let o=R(e,"x","separableConv2d"),l=R(t,"depthwiseFilter","separableConv2d"),u=R(a,"pointwiseFilter","separableConv2d"),p=o,c=!1;if(o.rank===3&&(c=!0,p=Q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),i==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");D(p.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${p.rank}.`),D(l.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${l.rank}.`),D(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${l.rank}.`),D(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),D(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let d=l.shape[2],h=l.shape[3];D(u.shape[2]===d*h,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${d*h}, but got ${u.shape[2]}.`);let f=Mh(p,l,n,r,i,s),m=Fp(f,u,1,"valid",i);return c?Q(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var h4=z({separableConv2d_:OM});async function zM(e,t){let a=R(e,"x","setdiff1d"),n=R(t,"y","setdiff1d");D(a.dtype===n.dtype,()=>`x and y should have the same dtype, but got x (${a.dtype}) and y (${n.dtype}).`),D(a.rank===1,()=>`x should be 1D tensor, but got x (${a.shape}).`),D(n.rank===1,()=>`y should be 1D tensor, but got y (${n.shape}).`);let r=await a.data(),s=await n.data(),i=new Set(s),o=0;for(let p=0;p`slice1d expects a rank-1 tensor, but got a rank-${n.rank} tensor`),De(n,[t],[a])}var x4=z({slice1d_:VM});function UM(e,t,a){let n=R(e,"x","slice2d");return D(n.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${n.rank} tensor`),De(n,t,a)}var A4=z({slice2d_:UM});function GM(e,t,a){let n=R(e,"x","slice3d");return D(n.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${n.rank} tensor`),De(n,t,a)}var zp=z({slice3d_:GM});function HM(e,t,a){let n=R(e,"x","slice4d");return D(n.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${n.rank} tensor`),De(n,t,a)}var Ph=z({slice4d_:HM});function jM(e,t=-1){let a=R(e,"logits","softmax","float32");if(t===-1&&(t=a.rank-1),t!==a.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a.rank} and dim was ${t}`);let n={logits:a},r={dim:t};return L.runKernel($o,n,r)}var Oh=z({softmax_:jM});function qM(e){D(e.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${e.dtype}.`);let t={input:e};return L.runKernel(op,t)}var zh=z({fft_:qM});function XM(e){D(e.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${e.dtype}.`);let t={input:e};return L.runKernel(lp,t)}var Vd=z({ifft_:XM});function KM(e){let t=e.shape[e.shape.length-1],a=e.size/t,n;if(t<=2){let r=Q(e,[a,t]);n=Vd(r)}else{let r=[a,2*(t-1)],s=Q(Bl(e),[a,t]),i=Q(Pp(e),[a,t]),o=es(De(s,[0,1],[a,t-2]),1),l=te(es(De(i,[0,1],[a,t-2]),1),Ue(-1)),u=lt([s,o],1),p=lt([i,l],1),c=Q(Sr(u,p),[r[0],r[1]]);n=Vd(c)}if(n=Bl(n),e.rank===3&&e.shape[0]!==0){let r=n,s=e.shape[0];n=Q(n,[s,n.shape[0]/s,n.shape[1]]),r.dispose()}return n}var N3=z({irfft_:KM});function YM(e,t,a=0){let n={x:R(e,"x","split")},r={numOrSizeSplits:t,axis:a};return L.runKernel(Tu,n,r)}var Ca=z({split_:YM});function ZM(e,t){D(e.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${e.dtype}`);let a=e.shape[e.shape.length-1],n=e.size/a,r;if(t!=null&&t0),m=e.shape.map(g=>g);m[e.shape.length-1]=t,r=De(e,f,m),a=t}else if(t!=null&&t>a){let f=e.shape.map(m=>m);f[e.shape.length-1]=t-a,r=lt([e,gn(f)],e.shape.length-1),a=t}else r=e;let s=Qa(r),i=Q(Sr(r,s),[n,a]),o=zh(i),l=Math.floor(a/2)+1,u=Bl(o),p=Pp(o),c=Ca(u,[l,a-l],u.shape.length-1),d=Ca(p,[l,a-l],p.shape.length-1),h=r.shape.slice();return h[r.shape.length-1]=l,Q(Sr(c[0],d[0]),h)}var Lh=z({rfft_:ZM});function JM(e,t){let a=R(e,"a","squaredDifference"),n=R(t,"b","squaredDifference");[a,n]=Rt(a,n),Bt(a.shape,n.shape);let r={a,b:n},s={};return L.runKernel(Po,r,s)}var R3=z({squaredDifference_:JM});function QM(e,t){let a=R(e,"x","squeeze","string_or_numeric");return Q(a,Zx(a.shape,t).newShape)}var Oe=z({squeeze_:QM});function eF(e,t=0){let a=Dd(e,"tensors","stack","string_or_numeric");D(a.length>=1,()=>"Pass at least one tensor to tf.stack"),a.length>0&&D(t<=a[0].rank,()=>"Axis must be <= rank of the tensor");let n=a,r={axis:t};return L.runKernel(xu,n,r)}var ca=z({stack_:eF});function tF(e,t=0){let a={x:R(e,"x","step")},n={alpha:t};return L.runKernel(is,a,n)}var E3=z({step_:tF});function aF(e,t,a,n,r=0,s=0,i=0,o=0,l=0){let u={x:R(e,"x","stridedSlice","string_or_numeric")},p={begin:t,end:a,strides:n,beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};return L.runKernel(Oo,u,p)}var b4=z({stridedSlice_:aF});function nF(e){let t={x:R(e,"x","tan","float32")};return L.runKernel(Lo,t)}var v4=z({tan_:nF});function jt(e,t){Js(e);let a=Qn(e,t);if(a.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return os(e,null,a,t)}function Zn(e,t,a){if(Js(e),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let n=Qn(e,a);if(n.length!==2&&n.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return os(e,t,n,a)}function M3(e,t,a){if(Js(e),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let n=Qn(e,a);if(n.length!==3&&n.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return os(e,t,n,a)}function w4(e,t,a){if(Js(e),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let n=Qn(e,a);if(n.length!==4&&n.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return os(e,t,n,a)}function k4(e,t,a){if(Js(e),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let n=Qn(e,a);if(n.length!==5&&n.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return os(e,t,n,a)}function I4(e,t,a){if(Js(e),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let n=Qn(e,a);if(n.length!==6&&n.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(n.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||n,os(e,t,n,a)}var Wh={};Ze(Wh,{calculateShapes:()=>S4,validateInput:()=>Bh,validateUpdateShape:()=>F3});function F3(e,t,a){let n=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${a.shape}, indices.shape: ${t.shape}, shape: ${e}, sliceDim: ${n}, and batchDim: ${r}.`;if(a.rank1?t.shape[n-1]:1,s=a.length,i=1;for(let c=r;c= 0 but got ${t}`);if(t>r)throw new Error(`'k' passed to topk() must be <= the last dimension (${r}) but got ${t}`);let s={x:n},i={k:t,sorted:a},[o,l]=L.runKernel(Bo,s,i);return{values:o,indices:l}}var T4=z({topk_:sF});function iF(e,t=0,a=1,n,r){if(an(e),n!=null&&n==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new I3(t,a,n,!0,r),i=$e(e,n);for(let o=0;o0,()=>"The input tensor must be at least 1D");let n={x:a},r={axis:t},[s,i]=L.runKernel(bp,n,r);return{values:s,indices:i}}var R4=z({unique_:oF});function lF(e,t,a){let n=R(e,"x","unsortedSegmentSum"),r=R(t,"segmentIds","unsortedSegmentSum","int32");D($l(a),()=>"numSegments must be of dtype int");let s={x:n,segmentIds:r},i={numSegments:a};return L.runKernel(vp,s,i)}var E4=z({unsortedSegmentSum_:lF});function uF(e,t=0){let a=R(e,"x","unstack","string_or_numeric");D(t>=-a.shape.length&&t`Axis = ${t} is not in [-${a.shape.length}, ${a.shape.length})`);let n={value:a},r={axis:t};return L.runKernel(Eu,n,r)}var Ra=z({unstack_:uF});function M4(e,t){return $h(e,t,"right")}function F4(e,t=!0,a,n){return L.makeVariable(e,t,a,n)}function _4(e,t){let a=[];for(let s=0;s0,()=>"mask cannot be scalar"),Na(o.slice(s,s+i),r.shape,"mask's shape must match the first K dimensions of tensor's shape,");let l=1;for(let m=s;mo).reverse()),D(n.rank===t.length,()=>`Error in transpose: rank of input ${n.rank} must match length of perm ${t}.`),t.forEach(i=>{D(i>=0&&i`All entries in 'perm' must be between 0 and ${n.rank-1} but got ${t}`)}),n.rank<=1)return n.clone();let r={x:n},s={perm:t};return n.dtype==="complex64"?Pe(()=>{let i=Bl(n),o=Pp(n);return i=L.runKernel(wr,{x:i},s),o=L.runKernel(wr,{x:o},s),a&&(o=Ln(o)),Sr(i,o)}):L.runKernel(wr,r,s)}var js=z({transpose_:cF});function hF(e,t,a,n,r=!0){let s=R(e,"v","movingAverage"),i=R(t,"x","movingAverage"),o=R(a,"decay","movingAverage");mA(s,i),D(Cr(s.shape,i.shape),()=>"Shape mismatch in v and x");let l=Ue(1),u=ye(l,o),p=te(ye(i,s),u);if(r){D(n!=null,()=>"When using zeroDebias: true, step is required.");let c=R(n,"step","movingAverage");p=ve(p,ye(l,zl(o,c)))}return ke(s,p)}var D4=z({movingAverage_:hF});function fF(e,t,a){an(a);let n=R(e,"indices","scatterND","int32"),r=R(t,"updates","scatterND");Bh(r,n,a);let s={indices:n,updates:r},i={shape:a};return L.runKernel(Io,s,i)}var P4=z({scatterND_:fF});function mF(e,t,a,n){if(e.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${e.shape}.`);let r=e.rank>0?e.shape[0]:1,s=e.rank>1?e.shape[1]:1;if(a.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${a.length}, should be: ${s}.`);let i=t.size;if(!(t.rank===0||t.rank===1&&i===r))throw new Error(`sparseValues has incorrect shape ${t.shape}, should be [] or [${r}]`);if(t.dtype!==n.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function gF(e,t,a,n=0){an(a);let r=R(e,"sparseIndices","sparseToDense","int32"),s=R(t,"sparseValues","sparseToDense","string_or_numeric"),i=R(n,"defaultValue","sparseToDense",s.dtype);mF(r,s,a,i);let o={sparseIndices:r,sparseValues:s,defaultValue:i},l={outputShape:a};return L.runKernel(Do,o,l)}var O4=z({sparseToDense_:gF});function yF(e,t){let a=R(t,"indices","gatherND","int32"),n={params:R(e,"x","gatherND","string_or_numeric"),indices:a};return L.runKernel(Di,n)}var z4=z({gatherND_:yF});function xF(e,t){if(t==null)return e.shape.slice();if(Cr(e.shape,t))return t;if(e.shape.length===t.length){let a=[];for(let n=0;n`x has to be a floating point tensor since it's going to be scaled, but got a ${r.dtype} tensor instead.`),D(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return e instanceof gt?r.clone():r;let s=xF(r,a),i=1-t,o=ve(o3(ke(Dh(s,0,1,"float32",n),i)),i);return te(r,o)}var L4=z({dropout_:AF});function $3(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function Vh(e,t,a){let n=1-e%2,r=new Float32Array(e);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${n.rank}`),D(n.rank-1===r.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${n.rank} and targets rank ${r.rank}`),Na(n.shape.slice(0,n.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=n.shape[n.shape.length-1];D(a>0&&a<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${a}`);let i=await n.data(),o=await r.data(),[l,u]=[i.length/s,s],p=Jx("bool",l);for(let c=0;cg.value-m.value),p[c]=0;for(let m=0;mIF,depthwiseConv2d:()=>EF,matMul:()=>FF});function vF(e,t,a,n,r,s="NHWC",i){let o=e;e.rank===3&&(o=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]])),D(o.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${o.shape}.`),D(l.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${l.shape}.`),D(a.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${a}.`);let u=s==="NHWC"?o.shape[3]:o.shape[1],p=s==="NHWC"?l.shape[3]:l.shape[1];D(u===a[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${a[2]}.`),D(p===a[3],()=>`Error in conv2dDerFilter: depth of dy (${p}) must match output depth for filter (${a[3]}).`),Tn("conv2dDerFilter",r,i);let c={x:o,dy:l},d={strides:n,pad:r,dataFormat:s,dimRoundingMode:i,filterShape:a};return L.runKernel(np,c,d)}var wF=z({conv2DBackpropFilter_:vF});function Uh(e,t,a){if(a==null||a==="linear")return e;if(a==="relu")return te(e,E3(t));throw new Error(`Cannot compute gradient for fused activation ${a}.`)}function Gh(e,t){let a=t,n=a3(e.shape,t.shape);return n.length>0&&(a=ot(a,n)),Q(a,e.shape)}function Hh(e,t,a,n){if(t==="linear")return e;if(t==="relu")return Op(e);if(t==="elu")return r3(e);if(t==="relu6")return C3(e);if(t==="prelu")return b3(e,a);if(t==="leakyrelu")return d3(e,n);if(t==="sigmoid")return Wa(e);throw new Error(`Unknown fused activation ${t}.`)}var jh=(e,t)=>!(e>0)||t==="linear";function kF({x:e,filter:t,strides:a,pad:n,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(l=l||"linear",jh(L.state.gradientDepth,l)===!1){D(r==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${r} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let C=Fp(e,t,a,n,r,s,i);return o!=null&&(C=ke(C,o)),Hh(C,l,u,p)}let c=R(e,"x","conv2d","float32"),d=R(t,"filter","conv2d","float32"),h=c,f=!1;c.rank===3&&(f=!0,h=Q(c,[1,c.shape[0],c.shape[1],c.shape[2]])),D(h.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${h.rank}.`),D(d.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${d.rank}.`),Tn("fused conv2d",n,i);let m=r==="NHWC"?h.shape[3]:h.shape[1];D(d.shape[2]===m,()=>`Error in conv2d: depth of input (${m}) must match input depth for filter ${d.shape[2]}.`),D(Tr(a,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`);let g=Ep(h.shape,d.shape,a,s,n,i),y;o!=null&&(y=R(o,"bias","fused conv2d"),[y]=Rt(y,c),r==="NHWC"?Bt(g.outShape,y.shape):(D(y.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${y.shape.length}.`),D(y.shape.length===0||y.shape[0]===g.outChannels||y.shape[0]===1,()=>`Error in fused conv2d: bias shape (${y.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let x;if(u!=null){let C=u.shape;if(D(C.length<=1||C.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${C.length}.`),C.length===1)D(C[0]===1||C[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${C}) is not compatible with the number of output channels (${g.outChannels}).`);else if(C.length===3)try{Bt(C,g.outShape)}catch(T){let N=`Error in fused conv2d: PReLU activation weights (${C}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(N)}x=R(u,"prelu weights","fused conv2d")}let A=(C,T)=>{D(r==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${r} but only NHWC is currently supported.`);let[N,M,F,E]=T,I=Uh(C,F,l);D(zd(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let _=nb(M.shape,I,N,a,n),O=wF(M,I,N.shape,a,n),B=[_,O];if(E!=null){let $=Gh(E,I);B.push($)}return B},b={x:h,filter:d,bias:y,preluActivationWeights:x},w={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?tr((C,T,N)=>{let M=L.runKernel(Kr,b,w);return N([T,C,M]),f&&(M=Q(M,[M.shape[1],M.shape[2],M.shape[3]])),{value:M,gradFunc:A}})(h,d):tr((C,T,N,M)=>{let F=L.runKernel(Kr,b,w);return M([T,C,F,N]),f&&(F=Q(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:A}})(h,d,y)}var IF=z({fusedConv2d_:kF});function SF(e,t,a,n,r,s=[1,1],i){let o=e;e.rank===3&&(o=Q(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let l=t;l.rank===3&&(l=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={x:o,dy:l},p={strides:n,pad:r,dimRoundingMode:i,dilations:s,filterShape:a};return L.runKernel(rp,u,p)}var CF=z({depthwiseConv2dNativeBackpropFilter_:SF});function TF(e,t,a,n,r,s=[1,1],i){let o=t,l=!1;t.rank===3&&(l=!0,o=Q(t,[1,t.shape[0],t.shape[1],t.shape[2]]));let u={dy:o,filter:a},p={strides:n,pad:r,dimRoundingMode:i,dilations:s,inputShape:e},c=L.runKernel(sp,u,p);return l?Q(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var NF=z({depthwiseConv2dNativeBackpropInput_:TF});function RF({x:e,filter:t,strides:a,pad:n,dataFormat:r="NHWC",dilations:s=[1,1],dimRoundingMode:i,bias:o,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:p}){if(jh(L.state.gradientDepth,l)===!1){let w=Mh(e,t,a,n,r,s,i);return o!=null&&(w=ke(w,o)),Hh(w,l,u,p)}let c=R(e,"x","depthwiseConv2d","float32"),d=R(t,"filter","depthwiseConv2d","float32"),h=c,f=!1;c.rank===3&&(f=!0,h=Q(c,[1,c.shape[0],c.shape[1],c.shape[2]])),D(h.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${h.rank}.`),D(d.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${d.rank}.`),D(h.shape[3]===d.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${h.shape[3]}) must match the inChannels dimension in filter ${d.shape[2]}.`),s==null&&(s=[1,1]),D(Tr(a,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${s}'`),Tn("fused depthwiseConv2d",n,i);let m=Ep(h.shape,d.shape,a,s,n,i,!0),g;o!=null&&(g=R(o,"bias","fused conv2d"),[g]=Rt(g,c),Bt(m.outShape,g.shape));let y;u!=null&&(y=R(u,"prelu weights","fused depthwiseConv2d"));let x=(w,C)=>{D(zd(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[T,N,M,F]=C,E=Uh(w,M,l),I=NF(N.shape,E,T,a,n,s,i),_=CF(N,E,T.shape,a,n,s,i);if(F!=null){let O=Gh(g,E);return[I,_,O]}return[I,_]},A={x:h,filter:d,bias:g,preluActivationWeights:y},b={strides:a,pad:n,dataFormat:r,dilations:s,dimRoundingMode:i,activation:l,leakyreluAlpha:p};return o==null?tr((w,C,T)=>{let N=L.runKernel(Yr,A,b);return T([C,w,N]),f&&(N=Q(N,[N.shape[1],N.shape[2],N.shape[3]])),{value:N,gradFunc:x}})(h,d):tr((w,C,T,N)=>{let M=L.runKernel(Yr,A,b);return N([C,w,M,T]),f&&(M=Q(M,[M.shape[1],M.shape[2],M.shape[3]])),{value:M,gradFunc:x}})(h,d,g)}var EF=z({fusedDepthwiseConv2d_:RF});function MF({a:e,b:t,transposeA:a=!1,transposeB:n=!1,bias:r,activation:s="linear",preluActivationWeights:i,leakyreluAlpha:o=.2}){if(jh(L.state.gradientDepth,s)===!1){let F=pt(e,t,a,n);return r!=null&&(F=ke(F,r)),Hh(F,s,i,o)}let l=R(e,"a","fused matMul"),u=R(t,"b","fused matMul");[l,u]=Rt(l,u);let p=a?l.shape[l.rank-2]:l.shape[l.rank-1],c=n?u.shape[u.rank-1]:u.shape[u.rank-2],d=a?l.shape[l.rank-1]:l.shape[l.rank-2],h=n?u.shape[u.rank-2]:u.shape[u.rank-1],f=l.shape.slice(0,-2),m=u.shape.slice(0,-2),g=vt(f),y=vt(m);D(p===c,()=>`Error in fused matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${l.shape} and ${u.shape} and transposeA=${a} and transposeB=${n} must match.`);let x=Bt(l.shape.slice(0,-2),u.shape.slice(0,-2)).concat([d,h]),A=a?Q(l,[g,p,d]):Q(l,[g,d,p]),b=n?Q(u,[y,h,c]):Q(u,[y,c,h]),w;r!=null&&(w=R(r,"bias","fused matMul"),[w]=Rt(w,l),Bt(x,w.shape));let C;i!=null&&(C=R(i,"prelu weights","fused matMul"));let T=(F,E)=>{let[I,_,O,B]=E,$=Uh(Q(F,O.shape),O,s),U,G;if(!a&&!n?(U=pt($,_,!1,!0),G=pt(I,$,!0,!1)):!a&&n?(U=pt($,_,!1,!1),G=pt($,I,!0,!1)):a&&!n?(U=pt(_,$,!1,!0),G=pt(I,$,!1,!1)):(U=pt(_,$,!0,!0),G=pt($,I,!0,!0)),r!=null){let q=Gh(B,$);return[U,G,q]}else return[U,G]},N={a:A,b,bias:w,preluActivationWeights:C},M={transposeA:a,transposeB:n,activation:s,leakyreluAlpha:o};return r==null?tr((F,E,I)=>{let _=L.runKernel(Xr,N,M);return I([F,E,_]),{value:Q(_,x),gradFunc:T}})(A,b):tr((F,E,I,_)=>{let O=L.runKernel(Xr,N,M);return _([F,E,O,I]),{value:Q(O,x),gradFunc:T}})(A,b,w)}var FF=z({fusedMatMul_:MF});function _F(e){return Vh(e,.54,.46)}var $F=z({hammingWindow_:_F});function DF(e){return Vh(e,.5,.5)}var B4=z({hannWindow_:DF});function PF(e,t,a,n=!1,r=0){let s=0,i=[];for(;s+t<=e.size;)i.push(De(e,s,t)),s+=a;if(n)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),D(o.rank===2&&o.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${o.shape}.`),D(l.rank===1&&l.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${o.shape}.`),D(n.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${n.length}.`),D(n[0]>=1&&n[1]>=1,()=>`cropSize must be atleast [1,1], but was ${n}`),D(r==="bilinear"||r==="nearest",()=>`method must be bilinear or nearest, but was ${r}`);let p={image:i,boxes:o,boxInd:l},c={method:r,extrapolationValue:s,cropSize:n};return L.runKernel(wi,p,c)}var WF=z({cropAndResize_:LF});function BF(e){let t=R(e,"image","flipLeftRight","float32");D(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);let a={image:t};return L.runKernel(Mi,a,{})}var VF=z({flipLeftRight_:BF});function UF(e){let t=R(e,"image","grayscaleToRGB"),a=t.rank-1,n=t.shape[a];D(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),D(n===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${n}.`);let r=new Array(t.rank);return r.fill(1,0,a),r[a]=3,jr(t,r)}var GF=z({grayscaleToRGB_:UF});function HF(e,t,a=0,n=.5){let r=R(e,"image","rotateWithOffset","float32");D(r.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${r.rank}.`);let s={image:r},i={radians:t,fillValue:a,center:n};return L.runKernel(Uo,s,i)}var jF=z({rotateWithOffset_:HF});function $u(e,t,a,n,r,s){n==null&&(n=.5),r==null&&(r=Number.NEGATIVE_INFINITY),s==null&&(s=0);let i=e.shape[0];return a=Math.min(a,i),D(0<=n&&n<=1,()=>`iouThreshold must be in [0, 1], but was '${n}'`),D(e.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),D(e.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),D(t.rank===1,()=>"scores must be a 1D tensor"),D(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),D(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:a,iouThreshold:n,scoreThreshold:r,softNmsSigma:s}}function qF(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY){let s=R(e,"boxes","nonMaxSuppression","float32"),i=R(t,"scores","nonMaxSuppression","float32"),o=$u(s,i,a,n,r);a=o.maxOutputSize,n=o.iouThreshold,r=o.scoreThreshold;let l={maxOutputSize:a,iouThreshold:n,scoreThreshold:r};return L.runKernel(lo,{boxes:s,scores:i},l)}var XF=z({nonMaxSuppression_:qF});function KF(e,t,a){let n=YF(e,t,a),r=n<0?-(n+1):n;e.splice(r,0,t)}function YF(e,t,a){return JF(e,t,a||ZF)}function ZF(e,t){return e>t?1:e>>1);let o=a(t,e[s]);o>0?n=s+1:(r=s,i=!o)}return i?n:-n-1}function U4(e,t,a,n,r){return P3(e,t,a,n,r,0)}function G4(e,t,a,n,r,s){return P3(e,t,a,n,r,0,!1,s,!0)}function H4(e,t,a,n,r,s){return P3(e,t,a,n,r,s,!0)}function P3(e,t,a,n,r,s,i=!1,o=!1,l=!1){let u=[];for(let g=0;gr&&u.push({score:t[g],boxIndex:g,suppressBeginIndex:0});u.sort(D5);let p=s>0?-.5/s:0,c=[],d=[];for(;c.length0;){let g=u.pop(),{score:y,boxIndex:x,suppressBeginIndex:A}=g;if(y=A;--w){let C=QF(e,x,c[w]);if(C>=n){b=!0;break}if(g.score=g.score*e_(n,p,C),g.score<=r)break}g.suppressBeginIndex=c.length,b||(g.score===y?(c.push(x),d.push(g.score)):g.score>r&&KF(u,g,D5))}let h=c.length,f=a-h;o&&f>0&&(c.push(...new Array(f).fill(0)),d.push(...new Array(f).fill(0)));let m={selectedIndices:c};return i&&(m.selectedScores=d),l&&(m.validOutputs=h),m}function QF(e,t,a){let n=e.subarray(t*4,t*4+4),r=e.subarray(a*4,a*4+4),s=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),o=Math.max(n[0],n[2]),l=Math.max(n[1],n[3]),u=Math.min(r[0],r[2]),p=Math.min(r[1],r[3]),c=Math.max(r[0],r[2]),d=Math.max(r[1],r[3]),h=(o-s)*(l-i),f=(c-u)*(d-p);if(h<=0||f<=0)return 0;let m=Math.max(s,u),g=Math.max(i,p),y=Math.min(o,c),x=Math.min(l,d),A=Math.max(y-m,0)*Math.max(x-g,0);return A/(h+f-A)}function e_(e,t,a){let n=Math.exp(t*a*a);return a<=e?n:0}function D5(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}async function t_(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY){let s=R(e,"boxes","nonMaxSuppressionAsync"),i=R(t,"scores","nonMaxSuppressionAsync"),o=$u(s,i,a,n,r);a=o.maxOutputSize,n=o.iouThreshold,r=o.scoreThreshold;let l=await Promise.all([s.data(),i.data()]),u=l[0],p=l[1],{selectedIndices:c}=U4(u,p,a,n,r);return s!==e&&s.dispose(),i!==t&&i.dispose(),jt(c,"int32")}var a_=t_;function n_(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=R(e,"boxes","nonMaxSuppression"),o=R(t,"scores","nonMaxSuppression"),l=$u(i,o,a,n,r,s);a=l.maxOutputSize,n=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u={boxes:i,scores:o},p={maxOutputSize:a,iouThreshold:n,scoreThreshold:r,softNmsSigma:s},c=L.runKernel(uo,u,p);return{selectedIndices:c[0],selectedScores:c[1]}}var r_=z({nonMaxSuppressionWithScore_:n_});async function s_(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=0){let i=R(e,"boxes","nonMaxSuppressionAsync"),o=R(t,"scores","nonMaxSuppressionAsync"),l=$u(i,o,a,n,r,s);a=l.maxOutputSize,n=l.iouThreshold,r=l.scoreThreshold,s=l.softNmsSigma;let u=await Promise.all([i.data(),o.data()]),p=u[0],c=u[1],{selectedIndices:d,selectedScores:h}=H4(p,c,a,n,r,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:jt(d,"int32"),selectedScores:jt(h)}}var i_=s_;function o_(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=R(e,"boxes","nonMaxSuppression"),o=R(t,"scores","nonMaxSuppression"),l=$u(i,o,a,n,r,null),u=l.maxOutputSize,p=l.iouThreshold,c=l.scoreThreshold,d={boxes:i,scores:o},h={maxOutputSize:u,iouThreshold:p,scoreThreshold:c,padToMaxOutputSize:s},f=L.runKernel(gu,d,h);return{selectedIndices:f[0],validOutputs:f[1]}}var l_=z({nonMaxSuppressionPadded_:o_});async function u_(e,t,a,n=.5,r=Number.NEGATIVE_INFINITY,s=!1){let i=R(e,"boxes","nonMaxSuppressionAsync"),o=R(t,"scores","nonMaxSuppressionAsync"),l=$u(i,o,a,n,r,null),u=l.maxOutputSize,p=l.iouThreshold,c=l.scoreThreshold,[d,h]=await Promise.all([i.data(),o.data()]),{selectedIndices:f,validOutputs:m}=G4(d,h,u,p,c,s);return i!==e&&i.dispose(),o!==t&&o.dispose(),{selectedIndices:jt(f,"int32"),validOutputs:Ue(m,"int32")}}var d_=u_;function p_(e,t,a=!1,n=!1){let r=R(e,"images","resizeBilinear");D(r.rank===3||r.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${r.rank}.`),D(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),D(n===!1||a===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=Q(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:a,halfPixelCenters:n,size:t},u=L.runKernel(Ao,o,l);return i?Q(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var c_=z({resizeBilinear_:p_});function h_(e,t,a=!1,n=!1){let r=R(e,"images","resizeNearestNeighbor");D(r.rank===3||r.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${r.rank}.`),D(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),D(r.dtype==="float32"||r.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),D(n===!1||a===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=r,i=!1;r.rank===3&&(i=!0,s=Q(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let[]=t,o={images:s},l={alignCorners:a,halfPixelCenters:n,size:t},u=L.runKernel(xo,o,l);return i?Q(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var f_=z({resizeNearestNeighbor_:h_});function m_(e,t="binary",a=!1,n=.5){let r=R(e,"image","threshold"),s=.2989,i=.587,o=.114,l=r.shape[0]*r.shape[1],u=te(jt([n]),255),p,c,d,h;if(D(r.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${r.rank}.`),D(r.shape[2]===3||r.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${r.shape[2]}.`),D(r.dtype==="int32"||r.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${r.dtype}.`),D(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),r.shape[2]===3){[p,c,d]=Ca(r,[1,1,1],-1);let m=te(p,s),g=te(c,i),y=te(d,o);h=ke(ke(m,g),y)}else h=e;if(t==="otsu"){let m=t3(Ke(T3(h),"int32"),Ve([]),256);u=g_(m,l)}let f=a?Fh(h,u):Dp(h,u);return Ke(te(f,255),"int32")}function g_(e,t){let a=jt([-1]),n=jt([0]),r=jt([0]),s,i,o,l,u,p;for(let c=0;c`Error in transform: image must be rank 4,but got rank ${i.rank}.`),D(o.rank===2&&(o.shape[0]===i.shape[0]||o.shape[0]===1)&&o.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),D(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let l={image:i,transforms:o},u={interpolation:a,fillMode:n,fillValue:r,outputShape:s};return L.runKernel(Vo,l,u)}var A_=z({transform_:x_});function b_(e,t,a){let n=R(e,"a","bandPart");D(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let r=n.shape,[s,i]=n.shape.slice(-2),o,l;typeof t=="number"?(D(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),D(t<=s,()=>`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`),o=R(t<0?s:t,"numLower","bandPart")):(D(t.dtype==="int32",()=>"bandPart(): numLower's dtype must be an int32."),o=kr(ih(t,0),s,Bd(t,s))),typeof a=="number"?(D(a%1===0,()=>`bandPart(): numUpper must be an integer, got ${a}.`),D(a<=i,()=>`bandPart(): numUpper (${a}) must not be greater than the number of columns (${i}).`),l=R(a<0?i:a,"numUpper","bandPart")):(D(a.dtype==="int32",()=>"bandPart(): numUpper's dtype must be an int32."),l=kr(ih(a,0),i,Bd(a,i)));let u=Q(Wl(0,s,1,"int32"),[-1,1]),p=Wl(0,i,1,"int32"),c=ye(u,p),d=Ld(Fh(c,o),u3(c,Ln(l))),h=gn([s,i],n.dtype);return Q(ca(Ra(Q(n,[-1,s,i])).map(f=>kr(d,f,h))),r)}var v_=z({bandPart_:b_});function w_(e){let t;if(Array.isArray(e)){t=!1,D(e!=null&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let r=e[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[s].shape[0]} vs. ${r})`)}else t=!0,e=Ca(e,e.shape[0],0).map(r=>Oe(r,[0]));D(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);let a=[],n=e;for(let r=0;r{let s=n[r];if(r>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),e.rank===2)return P5(e,t);{let a=e.shape.slice(0,e.shape.length-2).reduce((l,u)=>l*u),n=Ra(Q(e,[a,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),r=[],s=[];n.forEach(l=>{let[u,p]=P5(l,t);r.push(u),s.push(p)});let i=Q(ca(r,0),e.shape),o=Q(ca(s,0),e.shape);return[i,o]}}function P5(e,t=!1){return L.tidy(()=>{D(e.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);let a=e.shape[0],n=e.shape[1],r=i3(a),s=Sa(e),i=Zn([[1]],[1,1]),o=Sa(i),l=a>=n?n:a;for(let u=0;u{let h=De(s,[u,u],[a-u,1]),f=$p(h),m=De(s,[u,u],[1,1]),g=kr(Dp(m,0),Zn([[-1]]),Zn([[1]])),y=ye(m,te(g,f)),x=ve(h,y);x.shape[0]===1?o=Sa(i):o=lt([i,De(x,[1,0],[x.shape[0]-1,x.shape[1]])],0);let A=Ln(ve(pt(g,y),f)),b=De(s,[u,0],[a-u,n]),w=te(A,o),C=js(o);if(u===0)s=ye(b,pt(w,pt(C,b)));else{let M=ye(b,pt(w,pt(C,b)));s=lt([De(s,[0,0],[u,n]),M],0)}let T=js(w),N=De(r,[0,u],[a,r.shape[1]-u]);if(u===0)r=ye(N,pt(pt(N,o),T));else{let M=ye(N,pt(pt(N,o),T));r=lt([De(r,[0,0],[a,u]),M],1)}return[o,s,r]}),J([p,c,d])}return!t&&a>n&&(r=De(r,[0,0],[a,n]),s=De(s,[0,0],[n,n])),[r,s]})}var S_=z({qr_:I_}),ka;(function(e){e[e.NONE=0]="NONE",e[e.MEAN=1]="MEAN",e[e.SUM=2]="SUM",e[e.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(ka||(ka={}));function C_(e,t,a=ka.SUM_BY_NONZERO_WEIGHTS){let n=R(e,"losses","computeWeightedLoss"),r=null;t!=null&&(r=R(t,"weights","computeWeightedLoss"));let s=r==null?n:te(n,r);if(a===ka.NONE)return s;if(a===ka.SUM)return ot(s);if(a===ka.MEAN){if(r==null)return Wd(s);{let i=n.size/r.size,o=ve(ot(s),ot(r));return i>1?ve(o,Ue(i)):o}}if(a===ka.SUM_BY_NONZERO_WEIGHTS){if(r==null)return ve(ot(s),Ue(n.size));{let i=te(r,Ur(n.shape)),o=Ke(ot(x3(i,Ue(0))),"float32");return ve(ot(s),o)}}throw Error(`Unknown reduction: ${a}`)}var Nr=z({computeWeightedLoss_:C_});function T_(e,t,a,n=ka.SUM_BY_NONZERO_WEIGHTS){let r=R(e,"labels","absoluteDifference"),s=R(t,"predictions","absoluteDifference"),i=null;a!=null&&(i=R(a,"weights","absoluteDifference")),Na(r.shape,s.shape,"Error in absoluteDifference: ");let o=Za(ye(r,s));return Nr(o,i,n)}var N_=z({absoluteDifference_:T_});function R_(e,t,a,n,r=ka.SUM_BY_NONZERO_WEIGHTS){let s=R(e,"labels","cosineDistance"),i=R(t,"predictions","cosineDistance"),o=null;n!=null&&(o=R(n,"weights","cosineDistance")),Na(s.shape,i.shape,"Error in cosineDistance: ");let l=Ue(1),u=ye(l,ot(te(s,i),a,!0));return Nr(u,o,r)}var E_=z({cosineDistance_:R_});function M_(e,t,a,n=ka.SUM_BY_NONZERO_WEIGHTS){let r=R(e,"labels","hingeLoss"),s=R(t,"predictions","hingeLoss"),i=null;a!=null&&(i=R(a,"weights","hingeLoss")),Na(r.shape,s.shape,"Error in hingeLoss: ");let o=Ue(1);r=ye(te(Ue(2),r),o);let l=Op(ye(o,te(r,s)));return Nr(l,i,n)}var F_=z({hingeLoss_:M_});function __(e,t,a,n=1,r=ka.SUM_BY_NONZERO_WEIGHTS){let s=R(e,"labels","huberLoss"),i=R(t,"predictions","huberLoss"),o=null;a!=null&&(o=R(a,"weights","huberLoss")),Na(s.shape,i.shape,"Error in huberLoss: ");let l=Ue(n),u=Za(ye(i,s)),p=Bd(u,l),c=ye(u,p),d=ke(te(Ue(.5),Cn(p)),te(l,c));return Nr(d,o,r)}var $_=z({huberLoss_:__});function D_(e,t,a,n=1e-7,r=ka.SUM_BY_NONZERO_WEIGHTS){let s=R(e,"labels","logLoss"),i=R(t,"predictions","logLoss"),o=null;a!=null&&(o=R(a,"weights","logLoss")),Na(s.shape,i.shape,"Error in logLoss: ");let l=Ue(1),u=Ue(n),p=Ln(te(s,Ll(ke(i,u)))),c=te(ye(l,s),Ll(ke(ye(l,i),u))),d=ye(p,c);return Nr(d,o,r)}var P_=z({logLoss_:D_});function O_(e,t,a,n=ka.SUM_BY_NONZERO_WEIGHTS){let r=R(e,"labels","meanSquaredError"),s=R(t,"predictions","meanSquaredError"),i=null;a!=null&&(i=R(a,"weights","meanSquaredError")),Na(r.shape,s.shape,"Error in meanSquaredError: ");let o=R3(r,s);return Nr(o,i,n)}var z_=z({meanSquaredError_:O_});function L_(e,t){let a=R(e,"labels","sigmoidCrossEntropyWithLogits"),n=R(t,"logits","sigmoidCrossEntropyWithLogits");Na(a.shape,n.shape,"Error in sigmoidCrossEntropyWithLogits: ");let r=Op(n),s=te(n,a),i=p3(Qr(Ln(Za(n))));return ke(ye(r,s),i)}function W_(e,t,a,n=0,r=ka.SUM_BY_NONZERO_WEIGHTS){let s=R(e,"multiClassLabels","sigmoidCrossEntropy"),i=R(t,"logits","sigmoidCrossEntropy"),o=null;if(a!=null&&(o=R(a,"weights","sigmoidCrossEntropy")),Na(s.shape,i.shape,"Error in sigmoidCrossEntropy: "),n>0){let u=Ue(n),p=Ue(1),c=Ue(.5);s=ke(te(s,ye(p,u)),te(c,u))}let l=L_(s,i);return Nr(l,o,r)}var B_=z({sigmoidCrossEntropy_:W_});function V_(e,t,a=-1){if(a===-1&&(a=t.rank-1),a!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${a}`);return tr((n,r,s)=>{let i=h3(r,[a],!0),o=ye(Ke(r,"float32"),i);s([n,o]);let l=Ln(te(o,n));return{value:ot(l,[a]),gradFunc:(u,p)=>{let[c,d]=p,h=_p(u.shape,[a]);return[te(Q(u,h),ye(Ke(c,"float32"),Qr(d))),te(Q(u,h),ye(Qr(d),Ke(c,"float32")))]}}})(e,t)}function U_(e,t,a,n=0,r=ka.SUM_BY_NONZERO_WEIGHTS){let s=R(e,"onehotLabels","softmaxCrossEntropy"),i=R(t,"logits","softmaxCrossEntropy"),o=null;if(a!=null&&(o=R(a,"weights","softmaxCrossEntropy")),Na(s.shape,i.shape,"Error in softmaxCrossEntropy: "),n>0){let u=Ue(n),p=Ue(1),c=Ue(s.shape[1]);s=ke(te(s,ye(p,u)),ve(u,c))}let l=V_(s,i);return Nr(l,o,r)}var G_=z({softmaxCrossEntropy_:U_});function H_(e,t,a,n){let r=R(e,"indices","sparseFillEmptyRows","int32"),s=R(t,"values","sparseFillEmptyRows"),i=R(a,"denseShape","sparseFillEmptyRows","int32"),o=R(n,"defaultValue","sparseFillEmptyRows",s.dtype);if(r.rank!==2)throw new Error(`Indices should be Tensor2D but received shape + ${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=L.runKernel(hp,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var j_=z({sparseFillEmptyRows_:H_});function q_(e,t,a){let n=R(e,"inputIndices","sparseReshape","int32"),r=R(t,"inputShape","sparseReshape","int32"),s=R(a,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape + ${n.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:n,inputShape:r,newShape:s},o=L.runKernel(Nu,i);return{outputIndices:o[0],outputShape:o[1]}}var X_=z({sparseReshape_:q_});function K_(e,t,a){let n=R(e,"data","sparseSegmentMean"),r=R(t,"indices","sparseSegmentMean","int32"),s=R(a,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:n,indices:r,segmentIds:s};return L.runKernel(Bd,i)}var S$=z({sparseSegmentMean_:I$});function T$(e,t,a){let n=E(e,"data","sparseSegmentSum"),r=E(t,"indices","sparseSegmentSum","int32"),s=E(a,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${s.shape}`);let i={data:n,indices:r,segmentIds:s};return L.runKernel(fp,i)}var Y_=z({sparseSegmentMean_:K_});function Z_(e,t,a){let n=R(e,"data","sparseSegmentSum"),r=R(t,"indices","sparseSegmentSum","int32"),s=R(a,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let i={data:n,indices:r,segmentIds:s};return L.runKernel(Wd,i)}var C$=z({sparseSegmentSum_:T$});function N$(e,t,a,n,r,s,i,o){let l=E(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=E(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:a,nGramWidths:n,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},c={data:l,dataSplits:u},d=L.runKernel(tu,c,p);return{nGrams:d[0],nGramsSplits:d[1]}}var E$=z({stringNGrams_:N$});function R$(e,t,a=!0){let n=E(e,"input","stringSplit","string"),r=E(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:a},i={input:n,delimiter:r},o=L.runKernel(Gd,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var M$=z({stringSplit_:R$});function $$(e,t){let a=E(e,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:a};return L.runKernel(Hd,r,n)}var _$=z({stringToHashBucketFast_:$$}),qb={fft:xh,ifft:fd,rfft:Ah,irfft:F1},Xb={hammingWindow:uM,hannWindow:Vb,frame:Ub,stft:hM},ce={flipLeftRight:yM,grayscaleToRGB:AM,resizeNearestNeighbor:UM,resizeBilinear:WM,rotateWithOffset:vM,cropAndResize:mM,nonMaxSuppression:wM,nonMaxSuppressionAsync:MM,nonMaxSuppressionWithScore:_M,nonMaxSuppressionWithScoreAsync:FM,nonMaxSuppressionPadded:DM,nonMaxSuppressionPaddedAsync:LM,threshold:jM,transform:XM},Kb={bandPart:ZM,gramSchmidt:JM,qr:e$},Zb={absoluteDifference:n$,computeWeightedLoss:Ir,cosineDistance:s$,hingeLoss:o$,huberLoss:u$,logLoss:p$,meanSquaredError:h$,sigmoidCrossEntropy:g$,softmaxCrossEntropy:A$},Yb={sparseFillEmptyRows:v$,sparseReshape:w$,sparseSegmentMean:S$,sparseSegmentSum:C$},Jb={stringNGrams:E$,stringSplit:M$,stringToHashBucketFast:_$},Qb={};Ze(Qb,{Serializable:()=>e4,SerializationMap:()=>Ps,registerClass:()=>t4});var e4=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Ps=class{constructor(){this.classNameMap={}}static getMap(){return Ps.instance==null&&(Ps.instance=new Ps),Ps.instance}static register(e){Ps.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function t4(e){F(e.className!=null,()=>"Class being registered does not have the static className property defined."),F(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),F(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Ps.register(e)}var is=class extends e4{minimize(e,t=!1,a){let{value:n,grads:r}=this.computeGradients(e,a);if(a!=null){let s=a.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return J(r),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return _A(e,t)}dispose(){this.iterations_!=null&&J(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ze(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(is,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var j1=class extends is{constructor(e,t,a=null){super(),this.learningRate=e,this.rho=t,this.epsilon=a,this.accumulatedGrads=[],this.accumulatedUpdates=[],a==null&&(this.epsilon=L.backend.epsilon())}static get className(){return"Adadelta"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t],r=!1;this.accumulatedGrads[a]==null&&(this.accumulatedGrads[a]={originalName:`${t}/accum_grad`,variable:Oe(()=>Ja(n).variable(r))}),this.accumulatedUpdates[a]==null&&(this.accumulatedUpdates[a]={originalName:`${t}/accum_var`,variable:Oe(()=>Ja(n).variable(r))});let s=Array.isArray(e)?e[a].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[a].variable,o=this.accumulatedUpdates[a].variable;Oe(()=>{let l=be(te(i,this.rho),te(Tn(s),1-this.rho)),u=te(xe(Jn(be(o,this.epsilon)),Jn(be(i,this.epsilon))),s),p=be(te(o,this.rho),te(Tn(u),1-this.rho));i.assign(l),o.assign(p);let c=be(te(u,-this.learningRate),n);n.assign(c)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(J(this.accumulatedGrads.map(e=>e.variable)),J(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,a=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}},q1=class extends is{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}static get className(){return"Adagrad"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t];this.accumulatedGrads[a]==null&&(this.accumulatedGrads[a]={originalName:`${t}/accumulator`,variable:Oe(()=>nr(n.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[a].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[a].variable;Oe(()=>{let i=be(s,Tn(r));s.assign(i);let o=be(te(xe(r,Jn(be(i,L.backend.epsilon()))),-this.learningRate),n);n.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&J(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(a=>({originalName:a.name,variable:a.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}},X1=class extends is{constructor(e,t,a,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=a,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Oe(()=>{this.accBeta1=ze(t).variable(),this.accBeta2=ze(a).variable()}),n==null&&(this.epsilon=L.backend.epsilon())}static get className(){return"Adam"}applyGradients(e){let t=Array.isArray(e)?e.map(a=>a.name):Object.keys(e);Oe(()=>{let a=me(1,this.accBeta1),n=me(1,this.accBeta2);t.forEach((r,s)=>{let i=L.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:Oe(()=>Ja(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:Oe(()=>Ja(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,c=be(te(u,this.beta1),te(l,1-this.beta1)),d=be(te(p,this.beta2),te(Tn(l),1-this.beta2)),h=xe(c,a),f=xe(d,n);u.assign(c),p.assign(d);let m=be(te(xe(h,be(Jn(f),this.epsilon)),-this.learningRate),i);i.assign(m)}),this.accBeta1.assign(te(this.accBeta1,this.beta1)),this.accBeta2.assign(te(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&J(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&J(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),Oe(()=>{this.accBeta1.assign(ll(this.beta1,this.iterations_+1)),this.accBeta2.assign(ll(this.beta2,this.iterations_+1))});let t=e.length/2,a=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}},K1=class extends is{constructor(e,t,a,n=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=a,this.epsilon=n,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Oe(()=>{this.iteration=ze(0).variable(),this.accBeta1=ze(t).variable()}),n==null&&(this.epsilon=L.backend.epsilon())}static get className(){return"Adamax"}applyGradients(e){let t=Array.isArray(e)?e.map(a=>a.name):Object.keys(e);Oe(()=>{let a=me(1,this.accBeta1),n=xe(-this.learningRate,be(te(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=L.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:Ja(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:Ja(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,c=be(te(u,this.beta1),te(l,1-this.beta1)),d=te(p,this.beta2),h=Za(l),f=k1(d,h);u.assign(c),p.assign(f);let m=be(te(xe(n,a),xe(c,be(f,this.epsilon))),i);i.assign(m)}),this.iteration.assign(be(this.iteration,1)),this.accBeta1.assign(te(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&J(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&J(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}},Sh=class extends is{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}static get className(){return"SGD"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=Array.isArray(e)?e[a].tensor:e[t];if(n==null)return;let r=L.registeredVariables[t];Oe(()=>{let s=be(te(this.c,n),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=On(ze(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}},Z1=class extends Sh{constructor(e,t,a=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=a,this.accumulations=[],this.m=ze(this.momentum)}static get className(){return"Momentum"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t];this.accumulations[a]==null&&(this.accumulations[a]={originalName:`${t}/momentum`,variable:Oe(()=>Ja(n).variable(!1))});let r=this.accumulations[a].variable,s=Array.isArray(e)?e[a].tensor:e[t];s!=null&&Oe(()=>{let i,o=be(te(this.m,r),s);this.useNesterov?i=be(te(this.c,be(s,te(o,this.m))),n):i=be(te(this.c,o),n),r.assign(o),n.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&J(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(a=>({originalName:a.name,variable:a.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}},Y1=class extends is{constructor(e,t=.9,a=0,n=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=a,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,n==null&&(this.epsilon=L.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}static get className(){return"RMSProp"}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t],r=!1;this.accumulatedMeanSquares[a]==null&&(this.accumulatedMeanSquares[a]={originalName:`${t}/rms`,variable:Oe(()=>Ja(n).variable(r))}),this.accumulatedMoments[a]==null&&(this.accumulatedMoments[a]={originalName:`${t}/momentum`,variable:Oe(()=>Ja(n).variable(r))}),this.accumulatedMeanGrads[a]==null&&this.centered&&(this.accumulatedMeanGrads[a]={originalName:`${t}/mg`,variable:Oe(()=>Ja(n).variable(r))});let s=Array.isArray(e)?e[a].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[a].variable,o=this.accumulatedMoments[a].variable;Oe(()=>{let l=be(te(i,this.decay),te(Tn(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[a].variable,p=be(te(u,this.decay),te(s,1-this.decay)),c=xe(te(s,this.learningRate),Jn(me(l,be(Tn(p),this.epsilon)))),d=be(te(o,this.momentum),c);i.assign(l),u.assign(p),o.assign(d);let h=me(n,d);n.assign(h)}else{let u=be(te(i,this.decay),te(Tn(s),1-this.decay)),p=be(te(o,this.momentum),xe(te(s,this.learningRate),Jn(be(u,this.epsilon))));i.assign(u),o.assign(p);let c=me(n,p);n.assign(c)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&J(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&J(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&J(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,a=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}},P$=[j1,q1,X1,K1,Z1,Y1,Sh];function F$(){for(let e of P$)t4(e)}var jn={};Ze(jn,{browserFiles:()=>V$,browserHTTPRequest:()=>q$,concatenateArrayBuffers:()=>Y2,copyModel:()=>OT,decodeWeights:()=>Ix,encodeWeights:()=>pT,fromMemory:()=>K$,fromMemorySync:()=>i4,getLoadHandlers:()=>kT,getModelArtifactsForJSON:()=>J2,getModelArtifactsForJSONSync:()=>Tx,getModelArtifactsInfoForJSON:()=>Zd,getSaveHandlers:()=>vT,getWeightSpecs:()=>Cx,http:()=>Q1,isHTTPScheme:()=>t2,listModels:()=>PT,loadWeights:()=>U$,moveModel:()=>DT,registerLoadRouter:()=>bT,registerSaveRouter:()=>AT,removeModel:()=>FT,weightsLoaderFactory:()=>n4,withSaveHandler:()=>Z$,withSaveHandlerSync:()=>Y$});var O$="model",D$=".json",z$=".weights.bin";function G5(e){return new Promise(t=>setTimeout(t)).then(e)}var cl=class{constructor(e){if(!V().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(cl.URL_SCHEME)&&(e=e.slice(cl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=O$),this.modelJsonFileName=e+D$,this.weightDataFileName=e+z$}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let a=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],n=Sx(e,a),r=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await G5(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await G5(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Zd(e)}}}};cl.URL_SCHEME="downloads://";var L$=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let a=new FileReader;a.onload=n=>{let r=JSON.parse(n.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=J2(r,o=>this.loadWeights(o));e(i)},a.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),a.readAsText(this.jsonFile)})}loadWeights(e){let t=[],a=[];for(let s of e)t.push(...s.weights),a.push(...s.paths);let n=this.checkManifestAndWeightFiles(e),r=a.map(s=>this.loadWeightsFile(s,n[s]));return Promise.all(r).then(s=>[t,Y2(s)])}loadWeightsFile(e,t){return new Promise((a,n)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;a(i)},r.onerror=s=>n(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],a=this.weightsFiles.map(r=>W5(r.name)),n={};for(let r of e)r.paths.forEach(s=>{let i=W5(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),a.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[s]=this.weightsFiles[a.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},B$=e=>V().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(cl.URL_SCHEME)?W$(e.slice(cl.URL_SCHEME.length)):null;Mt.registerSaveRouter(B$);function W$(e="model"){return new cl(e)}function V$(e){return new L$(e)}function H5(e,t,a,n){i(e),a=a==null?0:a,n=n==null?1:n,o(a,n);let r=0,s=l=>(l.then(u=>{let p=a+ ++r/e.length*(n-a);return t(p),u}),l);function i(l){F(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){F(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),F(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),F(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function a4(e,t){t==null&&(t={});let a=t.fetchFunc==null?V().platform.fetch:t.fetchFunc,n=e.map(u=>a(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(n):await H5(n,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await H5(i,t.onProgress,o,l)}async function U$(e,t="",a,n){return n4(r=>a4(r,{requestInit:n}))(e,t,a)}function n4(e){return async(t,a="",n)=>{let r=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],o=[];if(t.forEach((h,f)=>{let m=0;h.weights.forEach(g=>{let y="quantization"in g?g.quantization.dtype:g.dtype,x=Km[y]*xt(g.shape),A=()=>{r[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:m,sizeBytes:x})};n!=null?n.forEach((b,k)=>{b===g.name&&(A(),i[k]=!0)}):A(),o.push(g.name),m+=x})}),!i.every(h=>h)){let h=n.filter((f,m)=>!i[m]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. -Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,f,m)=>(f&&h.push(m),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(f=>{let m=a+(a.endsWith("/")?"":"/")+f;u.push(m)})});let p=await e(u),c={},d=0;return l.forEach(h=>{let f=t[h].paths.length,m=0;for(let A=0;A{let b=g.slice(A.groupOffset,A.groupOffset+A.sizeBytes),k=Ix(b,[A.manifestEntry]);for(let S in k)c[S]=k[S]}),d+=f}),c}}var G$="application/octet-stream",H$="application/json",J1=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(F(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=V().platform.fetch,F(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&F(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let a=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],n=Sx(e,a);t.body.append("model.json",new Blob([JSON.stringify(n)],{type:H$}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:G$}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Zd(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let a=t.modelTopology,n=t.weightsManifest;if(a==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return J2(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[a,n]=j$(t),r=this.weightPathPrefix||a,s=Cx(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+n);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await a4(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Y2(l)]}};J1.URL_SCHEME_REGEX=/^https?:\/\//;function j$(e){let t=e.lastIndexOf("/"),a=e.lastIndexOf("?"),n=e.substring(0,t),r=a>t?e.substring(a):"";return[n+"/",r]}function t2(e){return e.match(J1.URL_SCHEME_REGEX)!=null}var r4=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let a=!0;if(Array.isArray(e)?a=e.every(n=>t2(n)):a=t2(e),a)return Q1(e,t)}return null};Mt.registerSaveRouter(r4);Mt.registerLoadRouter(r4);function Q1(e,t){return new J1(e,t)}function q$(e,t){return Q1(e,t)}var $m=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},s4=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},X$=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function K$(e,t,a,n){let r=arguments;return new X$(i4(...r))}function i4(e,t,a,n){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new $m(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new $m({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new $m({modelTopology:e,weightSpecs:t,weightData:a,trainingConfig:n}))}function Z$(e){return new s4(e)}function Y$(e){return new s4(e)}var o4={};Ze(o4,{confusionMatrix:()=>Q$});function J$(e,t,a){let n=E(e,"labels","confusionMatrix"),r=E(t,"predictions","confusionMatrix");F(a==null||a>0&&Number.isInteger(a),()=>`If provided, numClasses must be a positive integer, but got ${a}`),F(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),F(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),F(n.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),F(a>0&&Number.isInteger(a),()=>`numClasses is required to be a positive integer, but got ${a}`);let s=$c(Xe(n,"int32"),a),i=$c(Xe(r,"int32"),a),o=Vs(s),l=lt(o,i);return Xe(l,"int32")}var Q$=z({confusionMatrix_:J$}),Sr={};Ze(Sr,{fromPixels:()=>i_,fromPixelsAsync:()=>r_,toPixels:()=>s_});var Es;function l4(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let a=!1,n=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)a=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(Nc(nd,L.backendName)!=null){let d={pixels:e},h={numChannels:t};return L.runKernel(nd,d,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(n||a)p=e.data;else if(s||r||o){if(Es==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Es=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Es=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Es.canvas.width=l,Es.canvas.height=u,Es.drawImage(e,0,0,l,u),p=Es.getImageData(0,0,l,u).data}let c;if(t===4)c=new Int32Array(p);else{let d=l*u;c=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(a.dtype!=="float32"&&a.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${a.dtype}. Please use float32 or int32 tensors.`);let i=await a.data(),o=a.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*n*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(a.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[d]=h*o}let c=u*4;l[c+0]=Math.round(p[0]),l[c+1]=Math.round(p[1]),l[c+2]=Math.round(p[2]),l[c+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=n;let u=t.getContext("2d"),p=new ImageData(l,r,n);u.putImageData(p,0,0)}return a!==e&&a.dispose(),l}var i_=z({fromPixels_:l4}),e3={};Ze(e3,{prepareAndValidate:()=>u4});function u4(e,t){let a=e.shape.length,n=t.shape.length;if(a<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${a}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>a)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${a}`);if(xt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let c=0;cc/u),1].slice(0,s);return[l,i,u,p]}var St={};Ze(St,{assertParamsValid:()=>l_,computeFlatOffset:()=>h_,computeOutShape:()=>d_,getNormalizedAxes:()=>p_,isSliceContinous:()=>c_,maskToAxes:()=>u_,parseSliceParams:()=>f_,sliceInfo:()=>m_,startForAxis:()=>g4,startIndicesWithElidedDims:()=>h4,stopForAxis:()=>y4,stopIndicesWithElidedDims:()=>f4,stridesForAxis:()=>m4,stridesWithElidedDims:()=>d4});var a2=-2,o_=-1;function l_(e,t,a){let n=e.shape.length;F(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),F(n===a.length,()=>`Error in slice${n}D: Length of size ${a} must match the rank of the array (${n}).`);for(let r=0;r`Error in slice${n}D: begin[${r}] + size[${r}] (${t[r]+a[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function u_(e){let t=[],a=0;for(;e>0;)e&1&&t.push(a),e/=2,a++;return t}function d_(e,t,a){let n=[];for(let r=0;r0){let h=t[0],f=a+1;p=h4(i,h,f,n,e),c=f4(o,h,f,r,e),d=d4(s,h,f,e)}else for(let h=0;h-1)s[o]=0;else{let l=p4(t,a,o),u=n[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=p4(t,a,o),u=n[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=n[r];return i<0&&(i+=l),i=ad(0,i,l-1),i}function y4(e,t,a,n,r,s){let i=t[r],o=a[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=n[r];return i<0&&(i+=l),o>0?i=ad(0,i,l):i=ad(-1,i,l-1),i}function c_(e,t,a){let n=a.length;for(let r=0;r1){n=r;break}for(let r=n+1;r0||a[r]!==e[r])return!1;return!0}function h_(e,t){let a=e.length>0?e[e.length-1]:1;for(let n=0;n{F(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return a==null?s=new Array(r).fill(-1):typeof a=="number"?s=[a,...new Array(r-1).fill(-1)]:a.lengthi>=0?i:(F(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-n[o])),[n,s]}function m_(e,t,a,n,r,s,i,o,l){let u;if(n==null?(u=new Array(t.length),u.fill(1)):u=n,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,c={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:a.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let x=0;x0?0:-1,d.strides[x]>0?b:b-1];if(A&&d.strides[x]<=0)throw Error("only stride 1 allowed on non-range indexing.");m=m&&d.strides[x]===1;let C=!!(d.beginMask&1<=b)throw Error(`slice index ${d.begin[x]} of dimension ${x} out of bounds.`)}else d.begin[x]=j5(d.begin[x],0,d.strides[x],b,k,S),d.end[x]=j5(d.end[x],1,d.strides[x],b,k,S);let M=d.strides[x]===1&&d.begin[x]===0&&d.end[x]===b;h=h&&M,f=f&&(x===0&&d.strides[x]===1||M)}else h=h&&d.strides[x]===1&&C,f=f&&(x===0&&d.strides[x]===1||C);let N,$=!1;if(d.beginValid&&d.endValid?(N=d.end[x]-d.begin[x],$=!0):A?(N=1,$=!0):C&&b>=0&&(d.strides[x]<0?N=-b:N=b,$=!0),$){let M;N===0||N<0!=d.strides[x]<0?M=0:M=Math.trunc(N/d.strides[x])+(N%d.strides[x]!==0?1:0),g.push(M)}else g.push(-1)}for(let x=0;x=0?y.push(g[A]):A===a2&&y.push(1)}return{finalShapeSparse:y.filter((x,A)=>d.finalShapeGatherIndices[A]!==a2),finalShape:y,isIdentity:h,sliceDim0:f,isSimpleSlice:m,begin:d.begin,end:d.end,strides:d.strides}}function g_(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let a=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=e<0?n+e:e;return is[1]?s[1]:i}}var t3="4.2.0",x4=class{static sgd(e){return new Sh(e)}static momentum(e,t,a=!1){return new Z1(e,t,a)}static rmsprop(e,t=.9,a=0,n=null,r=!1){return new Y1(e,t,a,n,r)}static adam(e=.001,t=.9,a=.999,n=null){return new X1(e,t,a,n)}static adadelta(e=.001,t=.95,a=null){return new j1(e,t,a)}static adamax(e=.002,t=.9,a=.999,n=null,r=0){return new K1(e,t,a,n,r)}static adagrad(e,t=.1){return new q1(e,t)}},y_=x4,x_=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function A4(){return new Promise(e=>x_(()=>e()))}var T={};Ze(T,{ERF_A1:()=>F_,ERF_A2:()=>O_,ERF_A3:()=>D_,ERF_A4:()=>z_,ERF_A5:()=>L_,ERF_P:()=>P_,PARALLELIZE_THRESHOLD:()=>a3,RowPartitionType:()=>Hn,SELU_SCALE:()=>__,SELU_SCALEALPHA:()=>$_,applyActivation:()=>wh,assertAndGetBroadcastShape:()=>zt,assertAxesAreInnerMostDims:()=>xN,assertParamsConsistent:()=>A_,assignToTypedArray:()=>H_,axesAreInnerMostDims:()=>d1,calculateShapes:()=>Ob,checkEinsumDimSizes:()=>Y_,checkPadOnDimRoundingMode:()=>Cn,combineLocations:()=>wA,combineRaggedTensorToTensorShapes:()=>v_,complexWithEvenIndex:()=>V_,complexWithOddIndex:()=>U_,computeConv2DInfo:()=>ep,computeConv3DInfo:()=>jx,computeDefaultPad:()=>n1,computeDilation2DInfo:()=>gC,computeOptimalWindowSize:()=>S_,computeOutAndReduceShapes:()=>yN,computeOutShape:()=>b_,computePool2DInfo:()=>Hx,computePool3DInfo:()=>yC,convertConv2DDataFormat:()=>qx,decodeEinsumEquation:()=>K_,eitherStridesOrDilationsAreOne:()=>wr,expandShapeToKeepDim:()=>np,exponent:()=>q_,exponents:()=>j_,fromStringArrayToUint8:()=>xP,fromUint8ToStringArray:()=>yP,getAxesPermutation:()=>AN,getBroadcastDims:()=>xA,getComplexWithIndex:()=>G_,getEinsumComputePath:()=>J_,getEinsumPermutation:()=>Z_,getFusedBiasGradient:()=>kh,getFusedDyActivation:()=>vh,getImageCenter:()=>T_,getInnerMostAxes:()=>vN,getPermuted:()=>N_,getRaggedRank:()=>w_,getReductionAxes:()=>o1,getReshaped:()=>C_,getReshapedPermuted:()=>E_,getRowPartitionTypesHelper:()=>k_,getSliceBeginCoords:()=>R_,getSliceSize:()=>M_,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>aP,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>nP,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>rP,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>oP,getSparseReshapeInputOutputMismatchErrorMessage:()=>uP,getSparseReshapeInputOutputMultipleErrorMessage:()=>lP,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>sP,getSparseReshapeNegativeOutputDimErrorMessage:()=>iP,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>hP,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>dP,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>pP,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>cP,getUndoAxesPermutation:()=>bN,isIdentityPermutation:()=>Q_,log:()=>MS,mergeRealAndImagArrays:()=>B_,prepareAndValidate:()=>u4,prepareSplitSize:()=>tP,segment_util:()=>b4,shouldFuse:()=>Ih,slice_util:()=>St,splitRealAndImagArrays:()=>W_,stridesOrDilationsArePositive:()=>Bs,tupleValuesAreOne:()=>pd,upcastType:()=>ma,validateDefaultValueShape:()=>I_,validateInput:()=>V1,validateUpdateShape:()=>W1,warn:()=>Dr});function A_(e,t){let a=e[0].length;e.forEach((r,s)=>{F(r.length===a,()=>`Error in concat${a}D: rank of tensors[${s}] must be the same as the rank of the rest (${a})`)}),F(t>=0&&t`Error in concat${a}D: axis must be between 0 and ${a-1}.`);let n=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${a}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function b_(e,t){let a=e[0].slice();for(let n=1;n=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else n[i]=s}return n}function k_(e){let t={FIRST_DIM_SIZE:Hn.FIRST_DIM_SIZE,VALUE_ROWIDS:Hn.VALUE_ROWIDS,ROW_LENGTHS:Hn.ROW_LENGTHS,ROW_SPLITS:Hn.ROW_SPLITS,ROW_LIMITS:Hn.ROW_LIMITS,ROW_STARTS:Hn.ROW_STARTS},a=[];for(let n of e)if(n in t)a.push(t[n]);else break;return a}function w_(e){return e.length===0?0:e[0]===Hn.FIRST_DIM_SIZE?e.length-1:e.length}function I_(e,t){if(e==null||t==null)return;let a=e.length,n=t.length;if(a>=n)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${a} must be less than ragged tensor input flatValues.rank = ${n})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var a3=30;function S_(e){return e<=a3?e:Cc(e,Math.floor(Math.sqrt(e)))}function T_(e,t,a){let n=a*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[n,r]}function C_(e,t,a,n=!0){let r=[];if(n)r=r.concat(t.slice(0)),r.push(e[0]/a),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);n.push(...r),n.push(0),n.push(...s)}return n}function E_(e,t,a,n=!0){let r=[];n?r.push(e[0]/a):r.push(e[0]*a);for(let s=1;s/g,q5=",",X5="...";function K_(e,t){e=e.replace(/\s/g,"");let a=(e.length-e.replace(X_,"").length)/_m.length;if(a<1)throw new Error("Equations without an arrow are not supported.");if(a>1)throw new Error(`Equation must contain exactly one arrow ("${_m}").`);let[n,r]=e.split(_m);F(n.indexOf(X5)===-1,()=>`The ellipsis notation ("${X5}") is not supported yet.`);let s=n.split(q5),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let d=0;df.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let d=0;dr!==-1),{permutationIndices:a,expandDims:n}}function Y_(e,t,a){let n=new Array(e);for(let r=0;r`Expected dimension ${n[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function J_(e,t){let a=e,n=[],r=0;e.length===0&&a.push(-1),r=e.length+1;for(let i=0;it===a)}function eP(e,t){let a=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(e.shape[a]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);F(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[a]-i}F(e.shape[a]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function aP(e){return`Received SparseTensor with denseShape[0] = 0 but - indices.shape[0] = ${e}`}function nP(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function rP(e,t,a){return`indices(${e}, 0) is invalid: ${t} >= ${a}`}function sP(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function iP(e,t){return`size ${e} must be non-negative, not ${t}`}function oP(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function lP(e,t){let a=xt(e),n=xt(t);return`Input to reshape is a SparseTensor with ${a} - dense values, but the requested shape requires a multiple of ${n}. inputShape=${e} outputShape= ${t}`}function uP(e,t){let a=xt(e),n=xt(t);return`Input to reshape is a tensor with ${a} dense values, but the requested shape has ${n}. inputShape=${e} outputShape=${t}`}function dP(){return"segment ids must be >= 0"}function pP(){return"segment ids are not increasing"}function cP(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function hP(e,t,a){return`Bad: indices[${e}] == ${t} out of range [0, ${a})`}var b4={};Ze(b4,{collectGatherOpShapeInfo:()=>gP,computeOutShape:()=>mP,segOpComputeOptimalWindowSize:()=>fP});function fP(e,t){let a=!1,n;for(e<=a3?(n=e,a=!0):n=Cc(e,Math.floor(Math.sqrt(e)));!a;)n>t||n===e?a=!0:n=Cc(e,n+1);return n}function mP(e,t,a){let n=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${n}`);if(n<0&&(n+=r),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) ( - ${s}).`);if(aEc(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function xP(e){return e.map(t=>qd(t))}var Nn={};Ze(Nn,{nonMaxSuppressionV3Impl:()=>Gb,nonMaxSuppressionV4Impl:()=>Hb,nonMaxSuppressionV5Impl:()=>jb,whereImpl:()=>_b});F$();var AP=V();AP.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var In;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(In||(In={}));var K5;(function(e){let t;(function(a){a[a.LEGACY=0]="LEGACY",a[a.V1=1]="V1",a[a.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(K5||(K5={}));var n3={};function bP(e,t){let a={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};n3[e]=a}function v4(e){return n3[e]}function vP(e){delete n3[e]}function w(e,t,a,n,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd;if(s.type==="tensor")return ka(t.inputNames[s.inputIndexStart],a,n,r);if(s.type==="tensors")return t.inputNames.slice(o,l).map(c=>ka(c,a,n,r));let u=ka(t.inputNames.slice(o)[0],a,n,r),p=u.dataSync();return s.type==="number"?p[0]:v.toNestedArray(u.shape,p)}let i=t.attrParams[e];return i&&i.value}function ka(e,t,a,n){let[r,s]=Ka(e);if(n!=null){let o=n.getHashTableHandleByName(r);if(o!=null)return o}let i=a.currentContextIds.find(o=>!!t[_c(r,o)]);return i!==void 0?t[_c(r,i)][s]:void 0}function kP(e,t,a){return t[_c(e,a.currentContextId)]}function gr(e,t){let[a,n,r]=Ka(e);return[_c(a,t&&t.currentContextId),n,r]}function _c(e,t){return t?`${e}-${t}`:e}function Ka(e){let t=e.split(":");if(t.length===1)return[e,0,void 0];let a=t[0],n=t.length===3?t[1]:void 0,r=Number(t[t.length-1]);return[a,r,n]}function xc(e,t,a){let n=w("pad",e,t,a);if(n==="explicit"){n=w("explicitPaddings",e,t,a);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=n[s*2],r[s][1]=n[s*2+1];return r}return n}function yr(e){return e.kept?e:Ia(e)}var k4={};Ze(k4,{json:()=>wP});var wP=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],w4={};Ze(w4,{json:()=>IP});var IP=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],I4={};Ze(I4,{json:()=>SP});var SP=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],S4={};Ze(S4,{json:()=>TP});var TP=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],T4={};Ze(T4,{json:()=>CP});var CP=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],C4={};Ze(C4,{json:()=>NP});var NP=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],N4={};Ze(N4,{json:()=>EP});var EP=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],E4={};Ze(E4,{json:()=>RP});var RP=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],R4={};Ze(R4,{json:()=>MP});var MP=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],M4={};Ze(M4,{json:()=>$P});var $P=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],$4={};Ze($4,{json:()=>_P});var _P=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],_4={};Ze(_4,{json:()=>PP});var PP=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}],P4={};Ze(P4,{json:()=>FP});var FP=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],F4={};Ze(F4,{json:()=>OP});var OP=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],O4={};Ze(O4,{json:()=>DP});var DP=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],D4={};Ze(D4,{json:()=>zP});var zP=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],z4={};Ze(z4,{json:()=>LP});var LP=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],L4={};Ze(L4,{json:()=>BP});var BP=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],B4={};Ze(B4,{json:()=>WP});var WP=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],Z5=class{constructor(){let e=[k4,w4,I4,S4,T4,C4,N4,E4,R4,M4,$4,_4,P4,F4,O4,D4,z4,L4,B4],t=[].concat(...e.map(a=>a.json));this.opMappers=t.reduce((a,n)=>(a[n.tfOpName]=n,a),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let a=e.node,n=[],r=[],s=[],i=a.reduce((f,m)=>(f[m.name]=this.mapNode(m),m.op.startsWith("Placeholder")?n.push(f[m.name]):m.op==="Const"?r.push(f[m.name]):(m.input==null||m.input.length===0)&&s.push(f[m.name]),f),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let c=Object.keys(i);c.forEach(f=>{let m=i[f];m.inputNames.forEach((g,y)=>{let[x,,A]=gr(g),b=i[x];if(b.outputs!=null){let k=b.outputs.indexOf(A);if(k!==-1){let S=`${x}:${k}`;m.inputNames[y]=S}}m.inputs.push(b),b.children.push(m)})}),Object.keys(p).length===0?c.forEach(f=>{let m=i[f];m.children.length===0&&l.push(m)}):Object.keys(p).forEach(f=>{let[m]=gr(f),g=i[m];g!=null&&(g.signatureKey=p[f],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(f=>{let[m]=gr(f),g=i[m];g&&(g.signatureKey=u[f],o.push(g))}):o=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((f,m)=>(f[m.signature.name]=this.mapFunction(m),f),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:n,signature:t,functions:d};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,a)=>(t[e[a].name]=a,t),{})}mapNode(e){let t=v4(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let a={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith("^")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(a.inputParams=t.inputs.reduce((n,r)=>(n[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},n),{})),t.attrs!=null&&(a.attrParams=t.attrs.reduce((n,r)=>{let s=r.type,i;switch(r.type){case"string":i=n2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=n2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=d2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=d2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=s2(e.attr,r.tfName,r.defaultValue||0),i===void 0&&r.tfDeprecatedName&&(i=s2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=u2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=u2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=r2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=r2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=c2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=c2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=l2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=l2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=p2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=p2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=i2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=i2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=o2(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=o2(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=Y5(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=Y5(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return n[r.name]={value:i,type:s},n},{})),a}mapFunction(e){let t=e.nodeDef,a=[],n=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&n.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=gr(u.name),c={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:r3(u.type),type:"dtype"}},children:[]};c.signatureKey=u.name,s.push(c),r[p]=c}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((c,d)=>{let[h,,f]=gr(c),m=r[h];if(m.outputs!=null){let g=m.outputs.indexOf(f);if(g!==-1){let y=`${h}:${g}`;p.inputNames[d]=y}}p.inputs.push(m),m.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,c]=gr(o[u.name]),d=r[p];d!=null&&(d.defaultOutput=c,i.push(d))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:n,placeholders:a,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,a)=>(t[a.name]=this.mapArgToTensorInfo(a),t),{}),outputs:e.signature.outputArg.reduce((t,a)=>(t[a.name]=this.mapArgToTensorInfo(a,e.ret),t),{})}}mapArgToTensorInfo(e,t){let a=e.name;return t!=null&&(a=t[a]),{name:a,dtype:e.type}}};function VP(e){let t=V().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function W4(e,t){let a=Array.isArray(e)?String.fromCharCode.apply(null,e):VP(e);return t?a:a.toLowerCase()}function n2(e,t,a,n=!1){let r=e[t];return r!=null?W4(r.s,n):a}function r2(e,t,a){let n=e[t];return n?n.b:a}function s2(e,t,a){let n=e[t]||{},r=n.i!=null?n.i:n.f!=null?n.f:a;return typeof r=="number"?r:parseInt(r,10)}function r3(e){switch(typeof e=="string"&&(e=In[e]),e){case In.DT_FLOAT:case In.DT_HALF:return"float32";case In.DT_INT32:case In.DT_INT64:case In.DT_INT8:case In.DT_UINT8:return"int32";case In.DT_BOOL:return"bool";case In.DT_DOUBLE:return"float32";case In.DT_STRING:return"string";default:return null}}function Y5(e,t,a){let n=e[t];return n&&n.func?n.func.name:a}function i2(e,t,a){let n=e[t];return n&&n.type?r3(n.type):a}function o2(e,t,a){let n=e[t];return n&&n.list&&n.list.type?n.list.type.map(r=>r3(r)):a}function V4(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function l2(e,t,a){let n=e[t];return n&&n.shape?V4(n.shape):a}function u2(e,t,a){let n=e[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):a}function d2(e,t,a,n=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>W4(s,n)):a}function p2(e,t,a){let n=e[t];return n&&n.list&&n.list.shape?n.list.shape.map(r=>V4(r)):a}function c2(e,t,a){let n=e[t];return n&&n.list&&n.list.b?n.list.b:a}var UP=class{constructor(e,t,a){this.node=e,this.tensorMap=t,this.context=a,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,r)=>(n[r]=this.getAttr(r),n),{}))}getInput(e){return ka(e,this.tensorMap,this.context)}getAttr(e,t){let a=this.node.rawAttrs[e];if(a.tensor!=null)return ka(e,this.tensorMap,this.context);if(a.i!=null||a.f!=null)return s2(this.node.rawAttrs,e,t);if(a.s!=null)return n2(this.node.rawAttrs,e,t);if(a.b!=null)return r2(this.node.rawAttrs,e,t);if(a.shape!=null)return l2(this.node.rawAttrs,e,t);if(a.type!=null)return i2(this.node.rawAttrs,e,t);if(a.list!=null){if(a.list.i!=null||a.list.f!=null)return u2(this.node.rawAttrs,e,t);if(a.list.s!=null)return d2(this.node.rawAttrs,e,t);if(a.list.shape!=null)return p2(this.node.rawAttrs,e,t);if(a.list.b!=null)return c2(this.node.rawAttrs,e,t);if(a.list.type!=null)return o2(this.node.rawAttrs,e,t)}return t}},Zt={};Ze(Zt,{OP_SCOPE_SUFFIX:()=>K2,abs:()=>Za,acos:()=>Fx,acosh:()=>Ox,add:()=>be,addN:()=>ph,all:()=>Dx,any:()=>zx,argMax:()=>ar,argMin:()=>Lx,asin:()=>Bx,asinh:()=>Wx,atan:()=>Vx,atan2:()=>Ux,atanh:()=>Gx,avgPool:()=>r1,avgPool3d:()=>Xx,basicLSTMCell:()=>Kx,batchNorm:()=>tp,batchNorm2d:()=>Zx,batchNorm3d:()=>Yx,batchNorm4d:()=>Jx,batchToSpaceND:()=>s1,bincount:()=>i1,booleanMaskAsync:()=>Pb,broadcastArgs:()=>Qx,broadcastTo:()=>rl,buffer:()=>_e,cast:()=>Xe,ceil:()=>eA,clipByValue:()=>tA,clone:()=>Ia,complex:()=>vr,concat:()=>st,concat1d:()=>aA,concat2d:()=>ru,concat3d:()=>nA,concat4d:()=>rA,conv1d:()=>sA,conv2d:()=>ap,conv2dTranspose:()=>oA,conv3d:()=>lA,conv3dTranspose:()=>uA,cos:()=>dA,cosh:()=>pA,cosineWindow:()=>bh,cumprod:()=>cA,cumsum:()=>hA,denseBincount:()=>fA,depthToSpace:()=>mA,depthwiseConv2d:()=>ch,diag:()=>gA,dilation2d:()=>yA,div:()=>xe,divNoNan:()=>AA,dot:()=>bA,dropout:()=>Bb,einsum:()=>vA,elu:()=>u1,enclosingPowerOfTwo:()=>U1,equal:()=>l1,erf:()=>kA,euclideanNorm:()=>SA,exp:()=>Zr,expandDims:()=>Gt,expm1:()=>TA,eye:()=>p1,fft:()=>xh,fill:()=>nr,floor:()=>c1,floorDiv:()=>Qd,fused:()=>G1,gather:()=>h1,gatherND:()=>Lb,greater:()=>sp,greaterEqual:()=>f1,ifft:()=>fd,imag:()=>ip,image:()=>ce,inTopKAsync:()=>Wb,irfft:()=>F1,isFinite:()=>CA,isInf:()=>NA,isNaN:()=>EA,leakyRelu:()=>m1,less:()=>RA,lessEqual:()=>hh,linalg:()=>Kb,linspace:()=>MA,localResponseNormalization:()=>$A,log:()=>ul,log1p:()=>g1,logSigmoid:()=>PA,logSoftmax:()=>FA,logSumExp:()=>x1,logicalAnd:()=>cd,logicalNot:()=>A1,logicalOr:()=>b1,logicalXor:()=>OA,losses:()=>Zb,lowerBound:()=>DA,matMul:()=>lt,max:()=>fa,maxPool:()=>v1,maxPool3d:()=>zA,maxPoolWithArgmax:()=>LA,maximum:()=>k1,mean:()=>hd,meshgrid:()=>BA,min:()=>Kr,minimum:()=>w1,mirrorPad:()=>WA,mod:()=>su,moments:()=>VA,movingAverage:()=>Fb,mul:()=>te,multiRNNCell:()=>UA,multinomial:()=>GA,neg:()=>Xn,norm:()=>rp,notEqual:()=>I1,oneHot:()=>$c,ones:()=>Br,onesLike:()=>HA,op:()=>z,outerProduct:()=>jA,pad:()=>rr,pad1d:()=>qA,pad2d:()=>XA,pad3d:()=>KA,pad4d:()=>ZA,pool:()=>YA,pow:()=>ll,prelu:()=>T1,print:()=>Q2,prod:()=>JA,raggedGather:()=>QA,raggedRange:()=>eb,raggedTensorToTensor:()=>tb,rand:()=>ab,randomGamma:()=>ib,randomNormal:()=>M1,randomStandardNormal:()=>ob,randomUniform:()=>$1,range:()=>dl,real:()=>pl,reciprocal:()=>lb,relu:()=>op,relu6:()=>_1,reshape:()=>Q,reverse:()=>Yr,reverse1d:()=>ub,reverse2d:()=>db,reverse3d:()=>pb,reverse4d:()=>cb,rfft:()=>Ah,round:()=>P1,rsqrt:()=>hb,scalar:()=>ze,scatterND:()=>Db,searchSorted:()=>mh,selu:()=>fb,separableConv2d:()=>mb,setdiff1dAsync:()=>gb,sigmoid:()=>Ba,sign:()=>yb,signal:()=>Xb,sin:()=>xb,sinh:()=>Ab,slice:()=>Fe,slice1d:()=>bb,slice2d:()=>vb,slice3d:()=>lp,slice4d:()=>gh,softmax:()=>yh,softplus:()=>y1,spaceToBatchND:()=>S1,sparse:()=>Yb,sparseToDense:()=>zb,spectral:()=>qb,split:()=>Sa,sqrt:()=>Jn,square:()=>Tn,squaredDifference:()=>O1,squeeze:()=>De,stack:()=>ua,step:()=>D1,stridedSlice:()=>kb,string:()=>Jb,sub:()=>me,sum:()=>rt,tan:()=>wb,tanh:()=>Mc,tensor:()=>Ue,tensor1d:()=>Ht,tensor2d:()=>Kn,tensor3d:()=>z1,tensor4d:()=>Ib,tensor5d:()=>Sb,tensor6d:()=>Tb,tile:()=>Ur,topk:()=>Cb,transpose:()=>Vs,truncatedNormal:()=>Nb,unique:()=>Eb,unsortedSegmentSum:()=>Rb,unstack:()=>Na,upperBound:()=>Mb,variable:()=>$b,where:()=>Ws,whereAsync:()=>L1,zeros:()=>gn,zerosLike:()=>Ja});var GP=(e,t,a,n=Zt)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(w("a",e,t,a),w("b",e,t,a))];case"AddN":return[n.addN(w("tensors",e,t,a))];case"FloorMod":case"Mod":return[n.mod(w("a",e,t,a),w("b",e,t,a))];case"Mul":return[n.mul(w("a",e,t,a),w("b",e,t,a))];case"RealDiv":case"Div":return[n.div(w("a",e,t,a),w("b",e,t,a))];case"DivNoNan":return[n.divNoNan(w("a",e,t,a),w("b",e,t,a))];case"FloorDiv":return[n.floorDiv(w("a",e,t,a),w("b",e,t,a))];case"Sub":return[n.sub(w("a",e,t,a),w("b",e,t,a))];case"Minimum":return[n.minimum(w("a",e,t,a),w("b",e,t,a))];case"Maximum":return[n.maximum(w("a",e,t,a),w("b",e,t,a))];case"Pow":return[n.pow(w("a",e,t,a),w("b",e,t,a))];case"SquaredDifference":return[n.squaredDifference(w("a",e,t,a),w("b",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},HP=(e,t,a,n=Zt)=>{switch(e.op){case"Abs":case"ComplexAbs":return[n.abs(w("x",e,t,a))];case"Acos":return[n.acos(w("x",e,t,a))];case"Acosh":return[n.acosh(w("x",e,t,a))];case"Asin":return[n.asin(w("x",e,t,a))];case"Asinh":return[n.asinh(w("x",e,t,a))];case"Atan":return[n.atan(w("x",e,t,a))];case"Atan2":return[n.atan2(w("x",e,t,a),w("y",e,t,a))];case"Atanh":return[n.atanh(w("x",e,t,a))];case"Ceil":return[n.ceil(w("x",e,t,a))];case"Complex":return[n.complex(w("real",e,t,a),w("imag",e,t,a))];case"Cos":return[n.cos(w("x",e,t,a))];case"Cosh":return[n.cosh(w("x",e,t,a))];case"Elu":return[n.elu(w("x",e,t,a))];case"Erf":return[n.erf(w("x",e,t,a))];case"Exp":return[n.exp(w("x",e,t,a))];case"Expm1":return[n.expm1(w("x",e,t,a))];case"Floor":return[n.floor(w("x",e,t,a))];case"Log":return[n.log(w("x",e,t,a))];case"Log1p":return[n.log1p(w("x",e,t,a))];case"Imag":return[n.imag(w("x",e,t,a))];case"Neg":return[n.neg(w("x",e,t,a))];case"Reciprocal":return[n.reciprocal(w("x",e,t,a))];case"Real":return[n.real(w("x",e,t,a))];case"Relu":return[n.relu(w("x",e,t,a))];case"Round":return[n.round(w("x",e,t,a))];case"Selu":return[n.selu(w("x",e,t,a))];case"Sigmoid":return[n.sigmoid(w("x",e,t,a))];case"Sin":return[n.sin(w("x",e,t,a))];case"Sign":return[n.sign(w("x",e,t,a))];case"Sinh":return[n.sinh(w("x",e,t,a))];case"Softplus":return[n.softplus(w("x",e,t,a))];case"Sqrt":return[n.sqrt(w("x",e,t,a))];case"Square":return[n.square(w("x",e,t,a))];case"Tanh":return[n.tanh(w("x",e,t,a))];case"Tan":return[n.tan(w("x",e,t,a))];case"ClipByValue":return[n.clipByValue(w("x",e,t,a),w("clipValueMin",e,t,a),w("clipValueMax",e,t,a))];case"Relu6":return[n.relu6(w("x",e,t,a))];case"Rsqrt":return[n.rsqrt(ka(e.inputNames[0],t,a))];case"Prod":return[n.prod(w("x",e,t,a),w("axes",e,t,a))];case"LeakyRelu":return[n.leakyRelu(w("x",e,t,a),w("alpha",e,t,a))];case"Prelu":return[n.prelu(w("x",e,t,a),w("alpha",e,t,a))];case"IsNan":return[n.isNaN(ka(e.inputNames[0],t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Sn(e,t,a=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>a+` Shapes ${e} and ${t} must match`);for(let n=0;na+` Shapes ${e} and ${t} must match`)}}}function J5(e){return!(typeof e=="number"||e.some(t=>t<0))}function Wu(e,t,a){let n=h2(e,a),r=!J5(n);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(r&&t.forEach(s=>{n=h2(s.shape,n)}),!J5(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function h2(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let a=[];for(let n=0;n=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);a[n]=r>=0?r:s}return a}var jP=class{constructor(e,t,a,n,r,s,i){this.name=e,this.dtype=t,this.maxSize=a,this.elementShape=n,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ze(0),On(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Sn(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),a.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(a.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);a.tensor=t,On(t),a.written=!0,this.tensors[e]=a}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((a,n)=>this.write(a,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${a} vs. ${this.maxSize})`);this.writeMany(e,Na(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let a=0,n=e.map(o=>(a+=o,a));if(a!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${s.shape}`);let i={data:n,indices:r,segmentIds:s};return L.runKernel(mp,i)}var J_=z({sparseSegmentSum_:Z_});function Q_(e,t,a,n,r,s,i,o){let l=R(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=R(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:a,nGramWidths:n,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},c={data:l,dataSplits:u},d=L.runKernel(Ru,c,p);return{nGrams:d[0],nGramsSplits:d[1]}}var e$=z({stringNGrams_:Q_});function t$(e,t,a=!0){let n=R(e,"input","stringSplit","string"),r=R(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${n.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:a},i={input:n,delimiter:r},o=L.runKernel(xp,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var a$=z({stringSplit_:t$});function n$(e,t){let a=R(e,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:a};return L.runKernel(Ap,r,n)}var r$=z({stringToHashBucketFast_:n$});function s$(e,t,a,n=!0){let r=R(e,"input","staticRegexReplace","string"),s={pattern:t,rewrite:a,replaceGlobal:n};return L.runKernel(yp,{x:r},s)}var i$=z({staticRegexReplace_:s$}),j4={fft:zh,ifft:Vd,rfft:Lh,irfft:N3},q4={hammingWindow:$F,hannWindow:B4,frame:V4,stft:zF},fe={flipLeftRight:VF,grayscaleToRGB:GF,resizeNearestNeighbor:f_,resizeBilinear:c_,rotateWithOffset:jF,cropAndResize:WF,nonMaxSuppression:XF,nonMaxSuppressionAsync:a_,nonMaxSuppressionWithScore:r_,nonMaxSuppressionWithScoreAsync:i_,nonMaxSuppressionPadded:l_,nonMaxSuppressionPaddedAsync:d_,threshold:y_,transform:A_},X4={bandPart:v_,gramSchmidt:k_,qr:S_},K4={absoluteDifference:N_,computeWeightedLoss:Nr,cosineDistance:E_,hingeLoss:F_,huberLoss:$_,logLoss:P_,meanSquaredError:z_,sigmoidCrossEntropy:B_,softmaxCrossEntropy:G_},Y4={sparseFillEmptyRows:j_,sparseReshape:X_,sparseSegmentMean:Y_,sparseSegmentSum:J_},Z4={stringNGrams:e$,stringSplit:a$,stringToHashBucketFast:r$,staticRegexReplace:i$},J4={};Ze(J4,{Serializable:()=>Q4,SerializationMap:()=>Os,registerClass:()=>e7});var Q4=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Os=class{constructor(){this.classNameMap={}}static getMap(){return Os.instance==null&&(Os.instance=new Os),Os.instance}static register(e){Os.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function e7(e){D(e.className!=null,()=>"Class being registered does not have the static className property defined."),D(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),D(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Os.register(e)}var ls=class extends Q4{minimize(e,t=!1,a){let{value:n,grads:r}=this.computeGradients(e,a);if(a!=null){let s=a.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return J(r),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return Eb(e,t)}dispose(){this.iterations_!=null&&J(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Ue(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(ls,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var O3=class extends ls{static get className(){return"Adadelta"}constructor(e,t,a=null){super(),this.learningRate=e,this.rho=t,this.epsilon=a,this.accumulatedGrads=[],this.accumulatedUpdates=[],a==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t],r=!1;this.accumulatedGrads[a]==null&&(this.accumulatedGrads[a]={originalName:`${t}/accum_grad`,variable:Pe(()=>Qa(n).variable(r))}),this.accumulatedUpdates[a]==null&&(this.accumulatedUpdates[a]={originalName:`${t}/accum_var`,variable:Pe(()=>Qa(n).variable(r))});let s=Array.isArray(e)?e[a].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[a].variable,o=this.accumulatedUpdates[a].variable;Pe(()=>{let l=ke(te(i,this.rho),te(Cn(s),1-this.rho)),u=te(ve(er(ke(o,this.epsilon)),er(ke(i,this.epsilon))),s),p=ke(te(o,this.rho),te(Cn(u),1-this.rho));i.assign(l),o.assign(p);let c=ke(te(u,-this.learningRate),n);n.assign(c)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(J(this.accumulatedGrads.map(e=>e.variable)),J(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,a=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}},z3=class extends ls{static get className(){return"Adagrad"}constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t];this.accumulatedGrads[a]==null&&(this.accumulatedGrads[a]={originalName:`${t}/accumulator`,variable:Pe(()=>sr(n.shape,this.initialAccumulatorValue).variable(!1))});let r=Array.isArray(e)?e[a].tensor:e[t];if(r==null)return;let s=this.accumulatedGrads[a].variable;Pe(()=>{let i=ke(s,Cn(r));s.assign(i);let o=ke(te(ve(r,er(ke(i,L.backend.epsilon()))),-this.learningRate),n);n.assign(o)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&J(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(a=>({originalName:a.name,variable:a.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}},L3=class extends ls{static get className(){return"Adam"}constructor(e,t,a,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=a,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Pe(()=>{this.accBeta1=Ue(t).variable(),this.accBeta2=Ue(a).variable()}),n==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(a=>a.name):Object.keys(e);Pe(()=>{let a=ye(1,this.accBeta1),n=ye(1,this.accBeta2);t.forEach((r,s)=>{let i=L.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:Pe(()=>Qa(i).variable(o))}),this.accumulatedSecondMoment[s]==null&&(this.accumulatedSecondMoment[s]={originalName:`${r}/v`,variable:Pe(()=>Qa(i).variable(o))});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedSecondMoment[s].variable,c=ke(te(u,this.beta1),te(l,1-this.beta1)),d=ke(te(p,this.beta2),te(Cn(l),1-this.beta2)),h=ve(c,a),f=ve(d,n);u.assign(c),p.assign(d);let m=ke(te(ve(h,ke(er(f),this.epsilon)),-this.learningRate),i);i.assign(m)}),this.accBeta1.assign(te(this.accBeta1,this.beta1)),this.accBeta2.assign(te(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&J(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&J(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),Pe(()=>{this.accBeta1.assign(zl(this.beta1,this.iterations_+1)),this.accBeta2.assign(zl(this.beta2,this.iterations_+1))});let t=e.length/2,a=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}},W3=class extends ls{static get className(){return"Adamax"}constructor(e,t,a,n=null,r=0){super(),this.learningRate=e,this.beta1=t,this.beta2=a,this.epsilon=n,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Pe(()=>{this.iteration=Ue(0).variable(),this.accBeta1=Ue(t).variable()}),n==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(a=>a.name):Object.keys(e);Pe(()=>{let a=ye(1,this.accBeta1),n=ve(-this.learningRate,ke(te(this.iteration,this.decay),1));t.forEach((r,s)=>{let i=L.registeredVariables[r],o=!1;this.accumulatedFirstMoment[s]==null&&(this.accumulatedFirstMoment[s]={originalName:`${r}/m`,variable:Qa(i).variable(o)}),this.accumulatedWeightedInfNorm[s]==null&&(this.accumulatedWeightedInfNorm[s]={originalName:`${r}/v`,variable:Qa(i).variable(o)});let l=Array.isArray(e)?e[s].tensor:e[r];if(l==null)return;let u=this.accumulatedFirstMoment[s].variable,p=this.accumulatedWeightedInfNorm[s].variable,c=ke(te(u,this.beta1),te(l,1-this.beta1)),d=te(p,this.beta2),h=Za(l),f=y3(d,h);u.assign(c),p.assign(f);let m=ke(te(ve(n,a),ve(c,ke(f,this.epsilon))),i);i.assign(m)}),this.iteration.assign(ke(this.iteration,1)),this.accBeta1.assign(te(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&J(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&J(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}},qh=class extends ls{static get className(){return"SGD"}constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=Array.isArray(e)?e[a].tensor:e[t];if(n==null)return;let r=L.registeredVariables[t];Pe(()=>{let s=ke(te(this.c,n),r);r.assign(s)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=zn(Ue(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}},B3=class extends qh{static get className(){return"Momentum"}constructor(e,t,a=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=a,this.accumulations=[],this.m=Ue(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t];this.accumulations[a]==null&&(this.accumulations[a]={originalName:`${t}/momentum`,variable:Pe(()=>Qa(n).variable(!1))});let r=this.accumulations[a].variable,s=Array.isArray(e)?e[a].tensor:e[t];s!=null&&Pe(()=>{let i,o=ke(te(this.m,r),s);this.useNesterov?i=ke(te(this.c,ke(s,te(o,this.m))),n):i=ke(te(this.c,o),n),r.assign(o),n.assign(i)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&J(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(a=>({originalName:a.name,variable:a.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}},V3=class extends ls{static get className(){return"RMSProp"}constructor(e,t=.9,a=0,n=null,r=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=a,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,n==null&&(this.epsilon=L.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,a)=>{let n=L.registeredVariables[t],r=!1;this.accumulatedMeanSquares[a]==null&&(this.accumulatedMeanSquares[a]={originalName:`${t}/rms`,variable:Pe(()=>Qa(n).variable(r))}),this.accumulatedMoments[a]==null&&(this.accumulatedMoments[a]={originalName:`${t}/momentum`,variable:Pe(()=>Qa(n).variable(r))}),this.accumulatedMeanGrads[a]==null&&this.centered&&(this.accumulatedMeanGrads[a]={originalName:`${t}/mg`,variable:Pe(()=>Qa(n).variable(r))});let s=Array.isArray(e)?e[a].tensor:e[t];if(s==null)return;let i=this.accumulatedMeanSquares[a].variable,o=this.accumulatedMoments[a].variable;Pe(()=>{let l=ke(te(i,this.decay),te(Cn(s),1-this.decay));if(this.centered){let u=this.accumulatedMeanGrads[a].variable,p=ke(te(u,this.decay),te(s,1-this.decay)),c=ve(te(s,this.learningRate),er(ye(l,ke(Cn(p),this.epsilon)))),d=ke(te(o,this.momentum),c);i.assign(l),u.assign(p),o.assign(d);let h=ye(n,d);n.assign(h)}else{let u=ke(te(i,this.decay),te(Cn(s),1-this.decay)),p=ke(te(o,this.momentum),ve(te(s,this.learningRate),er(ke(u,this.epsilon))));i.assign(u),o.assign(p);let c=ye(n,p);n.assign(c)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&J(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&J(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&J(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,a=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(a)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}},o$=[O3,z3,L3,W3,B3,V3,qh];function l$(){for(let e of o$)e7(e)}var Kn={};Ze(Kn,{browserFiles:()=>m$,browserHTTPRequest:()=>w$,concatenateArrayBuffers:()=>j1,copyModel:()=>nN,decodeWeights:()=>bA,encodeWeights:()=>FT,fromMemory:()=>I$,fromMemorySync:()=>s7,getLoadHandlers:()=>UT,getModelArtifactsForJSON:()=>q1,getModelArtifactsForJSONSync:()=>wA,getModelArtifactsInfoForJSON:()=>Cp,getSaveHandlers:()=>VT,getWeightSpecs:()=>kA,http:()=>G3,isHTTPScheme:()=>r1,listModels:()=>tN,loadWeights:()=>x$,moveModel:()=>rN,registerLoadRouter:()=>BT,registerSaveRouter:()=>WT,removeModel:()=>aN,weightsLoaderFactory:()=>a7,withSaveHandler:()=>S$,withSaveHandlerSync:()=>C$});var u$="model",d$=".json",p$=".weights.bin";function O5(e){return new Promise(t=>setTimeout(t)).then(e)}var Vl=class{constructor(e){if(!W().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(Vl.URL_SCHEME)&&(e=e.slice(Vl.URL_SCHEME.length)),(e==null||e.length===0)&&(e=u$),this.modelJsonFileName=e+d$,this.weightDataFileName=e+p$}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let a=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],n=vA(e,a),r=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:"application/json"})),s=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(s.download=this.modelJsonFileName,s.href=r,await O5(()=>s.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await O5(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Cp(e)}}}};Vl.URL_SCHEME="downloads://";var c$=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let a=new FileReader;a.onload=n=>{let r=JSON.parse(n.target.result),s=r.modelTopology;if(s==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(r.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:s});return}let i=q1(r,o=>this.loadWeights(o));e(i)},a.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),a.readAsText(this.jsonFile)})}loadWeights(e){let t=[],a=[];for(let s of e)t.push(...s.weights),a.push(...s.paths);let n=this.checkManifestAndWeightFiles(e),r=a.map(s=>this.loadWeightsFile(s,n[s]));return Promise.all(r).then(s=>[t,j1(s)])}loadWeightsFile(e,t){return new Promise((a,n)=>{let r=new FileReader;r.onload=s=>{let i=s.target.result;a(i)},r.onerror=s=>n(`Failed to weights data from file of path '${e}'.`),r.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],a=this.weightsFiles.map(r=>$5(r.name)),n={};for(let r of e)r.paths.forEach(s=>{let i=$5(s);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),a.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[s]=this.weightsFiles[a.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},h$=e=>W().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(Vl.URL_SCHEME)?f$(e.slice(Vl.URL_SCHEME.length)):null;_t.registerSaveRouter(h$);function f$(e="model"){return new Vl(e)}function m$(e){return new c$(e)}var g$=class{constructor(e){if(this.shards=[],this.previousShardIndex=0,e instanceof Array||(e=[e]),e=e.map(a=>Zt(a)?a.buffer:a),e.length===0)return;this.bufferUniformSize=e[0].byteLength;let t=0;for(let a=0;a=this.byteLength)return-1;if(this.bufferUniformSize!=null)return this.previousShardIndex=Math.floor(e/this.bufferUniformSize),this.previousShardIndex;function t(n){return e=n.end?1:0}if(t(this.shards[this.previousShardIndex])===0)return this.previousShardIndex;let a=y$(this.shards,t);return a===-1?-1:(this.previousShardIndex=a,this.previousShardIndex)}};function y$(e,t){let a=0,n=e.length;for(;a<=n;){let r=Math.floor((n-a)/2)+a,s=t(e[r]);if(s===0)return r;s<0?n=r:a=r+1}return-1}function z5(e,t,a,n){i(e),a=a==null?0:a,n=n==null?1:n,o(a,n);let r=0,s=l=>(l.then(u=>{let p=a+ ++r/e.length*(n-a);return t(p),u}),l);function i(l){D(l!=null&&Array.isArray(l)&&l.length>0,()=>"promises must be a none empty array")}function o(l,u){D(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${l}`),D(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),D(u>=l,()=>`startFraction must be no more than endFraction, but got startFraction ${l} and endFraction ${u}`)}return Promise.all(e.map(s))}async function t7(e,t){t==null&&(t={});let a=t.fetchFunc==null?W().platform.fetch:t.fetchFunc,n=e.map(u=>a(u,t.requestInit,{isBinary:!0})),r=0,s=.5,i=(t.onProgress==null?await Promise.all(n):await z5(n,t.onProgress,r,s)).map(u=>u.arrayBuffer()),o=.5,l=1;return t.onProgress==null?await Promise.all(i):await z5(i,t.onProgress,o,l)}async function x$(e,t="",a,n){return a7(r=>t7(r,{requestInit:n}))(e,t,a)}function a7(e){return async(t,a="",n)=>{let r=t.map(()=>!1),s={},i=n!=null?n.map(()=>!1):[],o=[];if(t.forEach((h,f)=>{let m=0;h.weights.forEach(g=>{let y="quantization"in g?g.quantization.dtype:g.dtype,x=J2[y]*vt(g.shape),A=()=>{r[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:m,sizeBytes:x})};n!=null?n.forEach((b,w)=>{b===g.name&&(A(),i[w]=!0)}):A(),o.push(g.name),m+=x})}),!i.every(h=>h)){let h=n.filter((f,m)=>!i[m]);throw new Error(`Could not find weights in manifest with names: ${h.join(", ")}. +Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,f,m)=>(f&&h.push(m),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(f=>{let m=a+(a.endsWith("/")?"":"/")+f;u.push(m)})});let p=await e(u),c={},d=0;return l.forEach(h=>{let f=t[h].paths.length,m=new g$(p.slice(d,d+f));s[h].forEach(g=>{let y=m.slice(g.groupOffset,g.groupOffset+g.sizeBytes),x=bA(y,[g.manifestEntry]);for(let A in x)c[A]=x[A]}),d+=f}),c}}var A$="application/octet-stream",b$="application/json",U3=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(D(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=W().platform.fetch,D(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&D(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let a=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],n=vA(e,a);t.body.append("model.json",new Blob([JSON.stringify(n)],{type:b$}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:A$}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Cp(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let a=t.modelTopology,n=t.weightsManifest;if(a==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return q1(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[a,n]=v$(t),r=this.weightPathPrefix||a,s=kA(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+n);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await t7(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,j1(l)]}};U3.URL_SCHEME_REGEX=/^https?:\/\//;function v$(e){let t=e.lastIndexOf("/"),a=e.lastIndexOf("?"),n=e.substring(0,t),r=a>t?e.substring(a):"";return[n+"/",r]}function r1(e){return e.match(U3.URL_SCHEME_REGEX)!=null}var n7=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let a=!0;if(Array.isArray(e)?a=e.every(n=>r1(n)):a=r1(e),a)return G3(e,t)}return null};_t.registerSaveRouter(n7);_t.registerLoadRouter(n7);function G3(e,t){return new U3(e,t)}function w$(e,t){return G3(e,t)}var O2=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},r7=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},k$=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function I$(e,t,a,n){let r=arguments;return new k$(s7(...r))}function s7(e,t,a,n){return arguments.length===1?e.modelTopology!=null||e.weightSpecs!=null?new O2(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new O2({modelTopology:e})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new O2({modelTopology:e,weightSpecs:t,weightData:a,trainingConfig:n}))}function S$(e){return new r7(e)}function C$(e){return new r7(e)}var i7={};Ze(i7,{confusionMatrix:()=>N$});function T$(e,t,a){let n=R(e,"labels","confusionMatrix"),r=R(t,"predictions","confusionMatrix");D(a==null||a>0&&Number.isInteger(a),()=>`If provided, numClasses must be a positive integer, but got ${a}`),D(n.rank===1,()=>`Expected the rank of labels to be 1, but got ${n.rank}`),D(r.rank===1,()=>`Expected the rank of predictions to be 1, but got ${r.rank}`),D(n.shape[0]===r.shape[0],()=>`Mismatch in the number of examples: ${n.shape[0]} vs. ${r.shape[0]}. Labels and predictions should have the same number of elements.`),D(a>0&&Number.isInteger(a),()=>`numClasses is required to be a positive integer, but got ${a}`);let s=oh(Ke(n,"int32"),a),i=oh(Ke(r,"int32"),a),o=js(s),l=pt(o,i);return Ke(l,"int32")}var N$=z({confusionMatrix_:T$}),Rr={};Ze(Rr,{fromPixels:()=>D$,fromPixelsAsync:()=>_$,toPixels:()=>$$});var Fs;function o7(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(e==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let a=!1,n=!1,r=!1,s=!1,i=!1,o=!1;if(e.data instanceof Uint8Array)a=!0;else if(typeof ImageData!="undefined"&&e instanceof ImageData)n=!0;else if(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)s=!0;else if(e.getContext!=null)i=!0;else if(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)o=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);if(ah(Ed,L.backendName)!=null){let d={pixels:e},h={numChannels:t};return L.runKernel(Ed,d,h)}let[l,u]=r?[e.videoWidth,e.videoHeight]:[e.width,e.height],p;if(i)p=e.getContext("2d").getImageData(0,0,l,u).data;else if(n||a)p=e.data;else if(s||r||o){if(Fs==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")Fs=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else Fs=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});Fs.canvas.width=l,Fs.canvas.height=u,Fs.drawImage(e,0,0,l,u),p=Fs.getImageData(0,0,l,u).data}let c;if(t===4)c=new Int32Array(p);else{let d=l*u;c=new Int32Array(d*t);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(a.dtype!=="float32"&&a.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${a.dtype}. Please use float32 or int32 tensors.`);let i=await a.data(),o=a.dtype==="float32"?255:1,l=new Uint8ClampedArray(r*n*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${h}.`)}else if(a.dtype==="int32"&&(h<0||h>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${h}.`);s===1?(p[0]=h*o,p[1]=h*o,p[2]=h*o):p[d]=h*o}let c=u*4;l[c+0]=Math.round(p[0]),l[c+1]=Math.round(p[1]),l[c+2]=Math.round(p[2]),l[c+3]=Math.round(p[3])}if(t!=null){t.width=r,t.height=n;let u=t.getContext("2d"),p=new ImageData(l,r,n);u.putImageData(p,0,0)}return a!==e&&a.dispose(),l}var D$=z({fromPixels_:o7}),H3={};Ze(H3,{prepareAndValidate:()=>l7});function l7(e,t){let a=e.shape.length,n=t.shape.length;if(a<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${a}.`);if(n<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${n}.`);if(t.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${t.dtype}.`);if(t.shape[n-1]>a)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[n-1]} vs. ${a}`);if(vt(e.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${e.shape}.`);let r=t.shape,s=r[r.length-1],i=1;for(let c=0;cc/u),1].slice(0,s);return[l,i,u,p]}var Nt={};Ze(Nt,{assertParamsValid:()=>O$,computeFlatOffset:()=>V$,computeOutShape:()=>L$,getNormalizedAxes:()=>W$,isSliceContinous:()=>B$,maskToAxes:()=>z$,parseSliceParams:()=>U$,sliceInfo:()=>G$,startForAxis:()=>m7,startIndicesWithElidedDims:()=>c7,stopForAxis:()=>g7,stopIndicesWithElidedDims:()=>h7,stridesForAxis:()=>f7,stridesWithElidedDims:()=>u7});var s1=-2,P$=-1;function O$(e,t,a){let n=e.shape.length;D(n===t.length,()=>`Error in slice${n}D: Length of begin ${t} must match the rank of the array (${n}).`),D(n===a.length,()=>`Error in slice${n}D: Length of size ${a} must match the rank of the array (${n}).`);for(let r=0;r`Error in slice${n}D: begin[${r}] + size[${r}] (${t[r]+a[r]}) would overflow input.shape[${r}] (${e.shape[r]})`)}function z$(e){let t=[],a=0;for(;e>0;)e&1&&t.push(a),e/=2,a++;return t}function L$(e,t,a){let n=[];for(let r=0;r0){let h=t[0],f=a+1;p=c7(i,h,f,n,e),c=h7(o,h,f,r,e),d=u7(s,h,f,e)}else for(let h=0;h-1)s[o]=0;else{let l=d7(t,a,o),u=n[l];e&1<-1)s[o]=Number.MAX_SAFE_INTEGER;else{let l=d7(t,a,o),u=n[l];e&1<0?i=Number.MIN_SAFE_INTEGER:i=Number.MAX_SAFE_INTEGER);let l=n[r];return i<0&&(i+=l),i=Rd(0,i,l-1),i}function g7(e,t,a,n,r,s){let i=t[r],o=a[r]||1;(e&1<0?i=Number.MAX_SAFE_INTEGER:i=Number.MIN_SAFE_INTEGER);let l=n[r];return i<0&&(i+=l),o>0?i=Rd(0,i,l):i=Rd(-1,i,l-1),i}function B$(e,t,a){let n=a.length;for(let r=0;r1){n=r;break}for(let r=n+1;r0||a[r]!==e[r])return!1;return!0}function V$(e,t){let a=e.length>0?e[e.length-1]:1;for(let n=0;n{D(i!==-1,()=>"slice() does not support negative begin indexing.")});let s;return a==null?s=new Array(r).fill(-1):typeof a=="number"?s=[a,...new Array(r-1).fill(-1)]:a.lengthi>=0?i:(D(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${o}.`),e.shape[o]-n[o])),[n,s]}function G$(e,t,a,n,r,s,i,o,l){let u;if(n==null?(u=new Array(t.length),u.fill(1)):u=n,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let p=!1,c={dims:u.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:a.slice(),strides:u.slice(),beginMask:r,endMask:s,ellipsisMask:i,newAxisMask:o,shrinkAxisMask:l};for(let x=0;x0?0:-1,d.strides[x]>0?b:b-1];if(A&&d.strides[x]<=0)throw Error("only stride 1 allowed on non-range indexing.");m=m&&d.strides[x]===1;let T=!!(d.beginMask&1<=b)throw Error(`slice index ${d.begin[x]} of dimension ${x} out of bounds.`)}else d.begin[x]=L5(d.begin[x],0,d.strides[x],b,w,C),d.end[x]=L5(d.end[x],1,d.strides[x],b,w,C);let F=d.strides[x]===1&&d.begin[x]===0&&d.end[x]===b;h=h&&F,f=f&&(x===0&&d.strides[x]===1||F)}else h=h&&d.strides[x]===1&&T,f=f&&(x===0&&d.strides[x]===1||T);let N,M=!1;if(d.beginValid&&d.endValid?(N=d.end[x]-d.begin[x],M=!0):A?(N=1,M=!0):T&&b>=0&&(d.strides[x]<0?N=-b:N=b,M=!0),M){let F;N===0||N<0!=d.strides[x]<0?F=0:F=Math.trunc(N/d.strides[x])+(N%d.strides[x]!==0?1:0),g.push(F)}else g.push(-1)}for(let x=0;x=0?y.push(g[A]):A===s1&&y.push(1)}return{finalShapeSparse:y.filter((x,A)=>d.finalShapeGatherIndices[A]!==s1),finalShape:y,isIdentity:h,sliceDim0:f,isSimpleSlice:m,begin:d.begin,end:d.end,strides:d.strides}}function H$(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let a=0;t.beginValid=e.begin!=null,t.endValid=e.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let n=0;n0?s[t]:s[t+1&1];{let i=e<0?n+e:e;return is[1]?s[1]:i}}var j3="4.5.0",y7=class{static sgd(e){return new qh(e)}static momentum(e,t,a=!1){return new B3(e,t,a)}static rmsprop(e,t=.9,a=0,n=null,r=!1){return new V3(e,t,a,n,r)}static adam(e=.001,t=.9,a=.999,n=null){return new L3(e,t,a,n)}static adadelta(e=.001,t=.95,a=null){return new O3(e,t,a)}static adamax(e=.002,t=.9,a=.999,n=null,r=0){return new W3(e,t,a,n,r)}static adagrad(e,t=.1){return new z3(e,t)}},j$=y7,q$=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:e=>e())();function x7(){return new Promise(e=>q$(()=>e()))}var S={};Ze(S,{ERF_A1:()=>dD,ERF_A2:()=>pD,ERF_A3:()=>cD,ERF_A4:()=>hD,ERF_A5:()=>fD,ERF_P:()=>uD,PARALLELIZE_THRESHOLD:()=>q3,RowPartitionType:()=>Xn,SELU_SCALE:()=>lD,SELU_SCALEALPHA:()=>oD,applyActivation:()=>Hh,assertAndGetBroadcastShape:()=>Bt,assertAxesAreInnerMostDims:()=>BR,assertParamsConsistent:()=>X$,assignToTypedArray:()=>bD,axesAreInnerMostDims:()=>s3,calculateShapes:()=>S4,checkEinsumDimSizes:()=>CD,checkPadOnDimRoundingMode:()=>Tn,combineLocations:()=>vb,combineRaggedTensorToTensorShapes:()=>Y$,complexWithEvenIndex:()=>yD,complexWithOddIndex:()=>xD,computeConv2DInfo:()=>Ep,computeConv3DInfo:()=>VA,computeDefaultPad:()=>J1,computeDilation2DInfo:()=>ON,computeOptimalWindowSize:()=>eD,computeOutAndReduceShapes:()=>WR,computeOutShape:()=>K$,computePool2DInfo:()=>BA,computePool3DInfo:()=>zN,convertConv2DDataFormat:()=>UA,decodeEinsumEquation:()=>ID,eitherStridesOrDilationsAreOne:()=>Tr,expandShapeToKeepDim:()=>_p,exponent:()=>wD,exponents:()=>vD,fromStringArrayToUint8:()=>qD,fromUint8ToStringArray:()=>jD,getAxesPermutation:()=>VR,getBroadcastDims:()=>mb,getComplexWithIndex:()=>AD,getEinsumComputePath:()=>TD,getEinsumPermutation:()=>SD,getFusedBiasGradient:()=>Gh,getFusedDyActivation:()=>Uh,getImageCenter:()=>tD,getInnerMostAxes:()=>GR,getPermuted:()=>nD,getRaggedRank:()=>J$,getReductionAxes:()=>a3,getReshaped:()=>aD,getReshapedPermuted:()=>rD,getRowPartitionTypesHelper:()=>Z$,getSliceBeginCoords:()=>sD,getSliceSize:()=>iD,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>MD,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>FD,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>_D,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>PD,getSparseReshapeInputOutputMismatchErrorMessage:()=>zD,getSparseReshapeInputOutputMultipleErrorMessage:()=>OD,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>$D,getSparseReshapeNegativeOutputDimErrorMessage:()=>DD,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>VD,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>LD,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>WD,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>BD,getUndoAxesPermutation:()=>UR,isIdentityPermutation:()=>ND,log:()=>JC,mergeRealAndImagArrays:()=>mD,prepareAndValidate:()=>l7,prepareSplitSize:()=>ED,segment_util:()=>A7,shouldFuse:()=>jh,slice_util:()=>Nt,splitRealAndImagArrays:()=>gD,stridesOrDilationsArePositive:()=>Hs,tupleValuesAreOne:()=>zd,upcastType:()=>pa,validateDefaultValueShape:()=>Q$,validateInput:()=>Bh,validateUpdateShape:()=>F3,warn:()=>Wr});function X$(e,t){let a=e[0].length;e.forEach((r,s)=>{D(r.length===a,()=>`Error in concat${a}D: rank of tensors[${s}] must be the same as the rank of the rest (${a})`)}),D(t>=0&&t`Error in concat${a}D: axis must be between 0 and ${a-1}.`);let n=e[0];e.forEach((r,s)=>{for(let i=0;i`Error in concat${a}D: Shape of tensors[${s}] (${r}) does not match the shape of the rest (${n}) along the non-concatenated axis ${s}.`)})}function K$(e,t){let a=e[0].slice();for(let n=1;n=0)if(o>=0){if(o!==s)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${r+e}] = ${s} but shape[${r+e}] = ${o}`)}else n[i]=s}return n}function Z$(e){let t={FIRST_DIM_SIZE:Xn.FIRST_DIM_SIZE,VALUE_ROWIDS:Xn.VALUE_ROWIDS,ROW_LENGTHS:Xn.ROW_LENGTHS,ROW_SPLITS:Xn.ROW_SPLITS,ROW_LIMITS:Xn.ROW_LIMITS,ROW_STARTS:Xn.ROW_STARTS},a=[];for(let n of e)if(n in t)a.push(t[n]);else break;return a}function J$(e){return e.length===0?0:e[0]===Xn.FIRST_DIM_SIZE?e.length-1:e.length}function Q$(e,t){if(e==null||t==null)return;let a=e.length,n=t.length;if(a>=n)throw new Error(`defaultValue.shape=${e} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${a} must be less than ragged tensor input flatValues.rank = ${n})`);for(let r=0;r=0&&i>=0&&s!==1&&s!==i)throw new Error(`defaultValue.shape=${e}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${r-e.length}] = ${s} but ragged tensor input.flatValues.shape[${r-e.length}] = ${i}`)}}var q3=30;function eD(e){return e<=q3?e:th(e,Math.floor(Math.sqrt(e)))}function tD(e,t,a){let n=a*(typeof e=="number"?e:e[0]),r=t*(typeof e=="number"?e:e[1]);return[n,r]}function aD(e,t,a,n=!0){let r=[];if(n)r=r.concat(t.slice(0)),r.push(e[0]/a),r=r.concat(e.slice(1));else{r=r.concat(e[0]);let s=t.length;for(let i=0;i=t*2+1||i%2===1?s.push(i):r.push(i);n.push(...r),n.push(0),n.push(...s)}return n}function rD(e,t,a,n=!0){let r=[];n?r.push(e[0]/a):r.push(e[0]*a);for(let s=1;s/g,W5=",",B5="...";function ID(e,t){e=e.replace(/\s/g,"");let a=(e.length-e.replace(kD,"").length)/z2.length;if(a<1)throw new Error("Equations without an arrow are not supported.");if(a>1)throw new Error(`Equation must contain exactly one arrow ("${z2}").`);let[n,r]=e.split(z2);D(n.indexOf(B5)===-1,()=>`The ellipsis notation ("${B5}") is not supported yet.`);let s=n.split(W5),i=s.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let o=[];for(let d=0;df.indexOf(h)!==-1))throw new Error(`Output subscripts contain the label ${h} not present in the input subscripts.`);o.indexOf(h)===-1&&o.push(h)}for(let d=0;dr!==-1),{permutationIndices:a,expandDims:n}}function CD(e,t,a){let n=new Array(e);for(let r=0;r`Expected dimension ${n[t[r][i]]} at axis ${i} of input shaped ${JSON.stringify(s)}, but got dimension ${s[i]}`)}}function TD(e,t){let a=e,n=[],r=0;e.length===0&&a.push(-1),r=e.length+1;for(let i=0;it===a)}function RD(e,t){let a=[];for(let n=0;n"Number of splits must evenly divide the axis."),n=new Array(t).fill(e.shape[a]/t);else{let r=t.reduce((i,o)=>(o===-1&&(i+=1),i),0);D(r<=1,()=>"There should be only one negative value in split array.");let s=t.indexOf(-1);if(s!==-1){let i=t.reduce((o,l)=>l>0?o+l:o);t[s]=e.shape[a]-i}D(e.shape[a]===t.reduce((i,o)=>i+o),()=>"The sum of sizes must match the size of the axis dimension."),n=t}return n}function MD(e){return`Received SparseTensor with denseShape[0] = 0 but + indices.shape[0] = ${e}`}function FD(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function _D(e,t,a){return`indices(${e}, 0) is invalid: ${t} >= ${a}`}function $D(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function DD(e,t){return`size ${e} must be non-negative, not ${t}`}function PD(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function OD(e,t){let a=vt(e),n=vt(t);return`Input to reshape is a SparseTensor with ${a} + dense values, but the requested shape requires a multiple of ${n}. inputShape=${e} outputShape= ${t}`}function zD(e,t){let a=vt(e),n=vt(t);return`Input to reshape is a tensor with ${a} dense values, but the requested shape has ${n}. inputShape=${e} outputShape=${t}`}function LD(){return"segment ids must be >= 0"}function WD(){return"segment ids are not increasing"}function BD(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function VD(e,t,a){return`Bad: indices[${e}] == ${t} out of range [0, ${a})`}var A7={};Ze(A7,{collectGatherOpShapeInfo:()=>HD,computeOutShape:()=>GD,segOpComputeOptimalWindowSize:()=>UD});function UD(e,t){let a=!1,n;for(e<=q3?(n=e,a=!0):n=th(e,Math.floor(Math.sqrt(e)));!a;)n>t||n===e?a=!0:n=th(e,n+1);return n}function GD(e,t,a){let n=[],r=e.length;for(let s=0;sr))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${n}`);if(n<0&&(n+=r),n>s)throw new Error(`batchDims (${n}) must be less than rank(x) ( + ${s}).`);if(anh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function qD(e){return e.map(t=>kp(t))}var Nn={};Ze(Nn,{nonMaxSuppressionV3Impl:()=>U4,nonMaxSuppressionV4Impl:()=>G4,nonMaxSuppressionV5Impl:()=>H4,whereImpl:()=>_4});l$();var XD=W();XD.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,e=>{e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var In;(function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"})(In||(In={}));var V5;(function(e){let t;(function(a){a[a.LEGACY=0]="LEGACY",a[a.V1=1]="V1",a[a.V2=2]="V2"})(t=e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))})(V5||(V5={}));var X3={};function KD(e,t){let a={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};X3[e]=a}function b7(e){return X3[e]}function YD(e){delete X3[e]}function k(e,t,a,n,r){let s=t.inputParams[e];if(s&&s.inputIndexStart!==void 0){let o=s.inputIndexStart,l=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?o+1:s.inputIndexEnd,u=o<0?t.inputNames.length+o:o;if(s.type==="tensor")return ua(t.inputNames[u],a,n,r);if(s.type==="tensors"){let d=t.inputs.slice(o,l);return t.inputNames.slice(o,l).filter((h,f)=>{var m;return((m=d[f])===null||m===void 0?void 0:m.op)!=="NoOp"}).map(h=>ua(h,a,n,r))}let p=ua(t.inputNames[u],a,n,r),c=p.dataSync();return s.type==="number"?c[0]:v.toNestedArray(p.shape,c)}let i=t.attrParams[e];return i&&i.value}function ua(e,t,a,n){let[r,s]=Ya(e,a);if(n!=null){let o=n.getHashTableHandleByName(r);if(o!=null)return o}let i=a.currentContextIds.find(o=>!!t[lh(r,o)]);return i!==void 0?t[lh(r,i)][s]:void 0}function U5(e,t,a){return t[lh(e,a.currentContextId)]}function Ar(e,t){let[a,n,r]=Ya(e,t);return[lh(a,t&&t.currentContextId),n,r]}function lh(e,t){return t?`${e}-${t}`:e}function Ya(e,t){if(e==="")return["",0,void 0];let a=t!=null&&t.parseNodeNameCache!=null;if(a){let s=t.parseNodeNameCache.get(e);if(s!=null)return s}let n=e.split(":"),r;if(n.length===1)r=[e,0,void 0];else{let s=n[0],i=n.length===3?n[1]:void 0,o=Number(n[n.length-1]);r=[s,o,i]}return a&&t.parseNodeNameCache.set(e,r),r}function qc(e,t,a){let n=k("pad",e,t,a);if(n==="explicit"){n=k("explicitPaddings",e,t,a);let r=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)r[s][0]=n[s*2],r[s][1]=n[s*2+1];return r}return n}function br(e){return e.kept?e:Sa(e)}var v7={};Ze(v7,{json:()=>ZD});var ZD=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],w7={};Ze(w7,{json:()=>JD});var JD=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsFinite",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsInf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],k7={};Ze(k7,{json:()=>QD});var QD=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}],I7={};Ze(I7,{json:()=>eP});var eP=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],S7={};Ze(S7,{json:()=>tP});var tP=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniformInt",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number"},{tfName:"maxval",name:"maxval",type:"number"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],C7={};Ze(C7,{json:()=>aP});var aP=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],T7={};Ze(T7,{json:()=>nP});var nP=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],N7={};Ze(N7,{json:()=>rP});var rP=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],R7={};Ze(R7,{json:()=>sP});var sP=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],E7={};Ze(E7,{json:()=>iP});var iP=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}],M7={};Ze(M7,{json:()=>oP});var oP=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BitwiseAnd",category:"logical",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}]}],F7={};Ze(F7,{json:()=>lP});var lP=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"MatrixBandPart",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"numLower",type:"tensor"},{start:1,name:"numUpper",type:"tensor"}]}],_7={};Ze(_7,{json:()=>uP});var uP=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]}],$7={};Ze($7,{json:()=>dP});var dP=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],D7={};Ze(D7,{json:()=>pP});var pP=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]},{tfOpName:"TensorScatterUpdate",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"values",type:"tensor"}]}],P7={};Ze(P7,{json:()=>cP});var cP=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}],O7={};Ze(O7,{json:()=>hP});var hP=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],z7={};Ze(z7,{json:()=>fP});var fP=[{tfOpName:"StaticRegexReplace",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"pattern",name:"pattern",type:"string"},{tfName:"rewrite",name:"rewrite",type:"string"},{tfName:"replace_global",name:"replaceGlobal",type:"bool"}]},{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}],L7={};Ze(L7,{json:()=>mP});var mP=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"EnsureShape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}],G5=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let e=[v7,w7,k7,I7,S7,C7,T7,N7,R7,E7,M7,F7,_7,$7,D7,P7,O7,z7,L7],t=[].concat(...e.map(a=>a.json));this.opMappers=t.reduce((a,n)=>(a[n.tfOpName]=n,a),{})}transformGraph(e,t={}){let a=e.node,n=[],r=[],s=[],i=a.reduce((f,m)=>(f[m.name]=this.mapNode(m),m.op.startsWith("Placeholder")?n.push(f[m.name]):m.op==="Const"?r.push(f[m.name]):(m.input==null||m.input.length===0)&&s.push(f[m.name]),f),{}),o=[],l=[],u={},p={};t!=null&&(u=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));let c=Object.keys(i);c.forEach(f=>{let m=i[f];m.inputNames.forEach((g,y)=>{let[x,,A]=Ar(g),b=i[x];if(b.outputs!=null){let w=b.outputs.indexOf(A);if(w!==-1){let C=`${x}:${w}`;m.inputNames[y]=C}}m.inputs.push(b),b.children.push(m)})}),Object.keys(p).length===0?c.forEach(f=>{let m=i[f];m.children.length===0&&l.push(m)}):Object.keys(p).forEach(f=>{let[m]=Ar(f),g=i[m];g!=null&&(g.signatureKey=p[f],l.push(g))}),Object.keys(u).length>0?Object.keys(u).forEach(f=>{let[m]=Ar(f),g=i[m];g&&(g.signatureKey=u[f],o.push(g))}):o=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((f,m)=>(f[m.signature.name]=this.mapFunction(m),f),{}));let h={nodes:i,inputs:o,outputs:l,weights:r,placeholders:n,signature:t,functions:d};return s.length>0&&(h.initNodes=s),h}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,a)=>(t[e[a].name]=a,t),{})}mapNode(e){let t=b7(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let a={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith("^")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(a.inputParams=t.inputs.reduce((n,r)=>(n[r.name]={type:r.type,inputIndexStart:r.start,inputIndexEnd:r.end},n),{})),t.attrs!=null&&(a.attrParams=t.attrs.reduce((n,r)=>{let s=r.type,i;switch(r.type){case"string":i=i1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=i1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"string[]":i=h1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=h1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":i=l1(e.attr,r.tfName,r.defaultValue||0),i===void 0&&r.tfDeprecatedName&&(i=l1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":i=c1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=c1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":i=o1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=o1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool[]":i=m1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=m1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":i=p1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=p1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape[]":i=f1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=f1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":i=u1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=u1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype[]":i=d1(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=d1(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"func":i=H5(e.attr,r.tfName,r.defaultValue),i===void 0&&r.tfDeprecatedName&&(i=H5(e.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${r.type} for op: ${e.op}`)}return n[r.name]={value:i,type:s},n},{})),a}mapFunction(e){let t=e.nodeDef,a=[],n=[],r={};t!=null&&(r=t.reduce((u,p)=>(u[p.name]=this.mapNode(p),p.op==="Const"&&n.push(u[p.name]),u),{}));let s=[],i=[];e.signature.inputArg.forEach(u=>{let[p]=Ar(u.name),c={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:K3(u.type),type:"dtype"}},children:[]};c.signatureKey=u.name,s.push(c),r[p]=c}),Object.keys(r).forEach(u=>{let p=r[u];p.inputNames.forEach((c,d)=>{let[h,,f]=Ar(c),m=r[h];if(m.outputs!=null){let g=m.outputs.indexOf(f);if(g!==-1){let y=`${h}:${g}`;p.inputNames[d]=y}}p.inputs.push(m),m.children.push(p)})});let o=e.ret;e.signature.outputArg.forEach(u=>{let[p,c]=Ar(o[u.name]),d=r[p];d!=null&&(d.defaultOutput=c,i.push(d))});let l=this.mapArgsToSignature(e);return{nodes:r,inputs:s,outputs:i,weights:n,placeholders:a,signature:l}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,a)=>(t[a.name]=this.mapArgToTensorInfo(a),t),{}),outputs:e.signature.outputArg.reduce((t,a)=>(t[a.name]=this.mapArgToTensorInfo(a,e.ret),t),{})}}mapArgToTensorInfo(e,t){let a=e.name;return t!=null&&(a=t[a]),{name:a,dtype:e.type}}};function gP(e){let t=W().global;if(typeof t.atob!="undefined")return t.atob(e);if(typeof Buffer!="undefined")return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function W7(e,t){let a=Array.isArray(e)?String.fromCharCode.apply(null,e):gP(e);return t?a:a.toLowerCase()}function i1(e,t,a,n=!1){let r=e[t];return r!=null?W7(r.s,n):a}function o1(e,t,a){let n=e[t];return n?n.b:a}function l1(e,t,a){let n=e[t]||{},r=n.i!=null?n.i:n.f!=null?n.f:a;return typeof r=="number"?r:parseInt(r,10)}function K3(e){switch(typeof e=="string"&&(e=In[e]),e){case In.DT_FLOAT:case In.DT_HALF:return"float32";case In.DT_INT32:case In.DT_INT64:case In.DT_INT8:case In.DT_UINT8:return"int32";case In.DT_BOOL:return"bool";case In.DT_DOUBLE:return"float32";case In.DT_STRING:return"string";default:return null}}function H5(e,t,a){let n=e[t];return n&&n.func?n.func.name:a}function u1(e,t,a){let n=e[t];return n&&n.type?K3(n.type):a}function d1(e,t,a){let n=e[t];return n&&n.list&&n.list.type?n.list.type.map(r=>K3(r)):a}function B7(e){if(!e.unknownRank)return e.dim!=null?e.dim.map(t=>typeof t.size=="number"?t.size:parseInt(t.size,10)):[]}function p1(e,t,a){let n=e[t];return n&&n.shape?B7(n.shape):a}function c1(e,t,a){let n=e[t];return n?((n.list.f&&n.list.f.length?n.list.f:n.list.i)||[]).map(r=>typeof r=="number"?r:parseInt(r,10)):a}function h1(e,t,a,n=!1){let r=e[t];return r&&r.list&&r.list.s?r.list.s.map(s=>W7(s,n)):a}function f1(e,t,a){let n=e[t];return n&&n.list&&n.list.shape?n.list.shape.map(r=>B7(r)):a}function m1(e,t,a){let n=e[t];return n&&n.list&&n.list.b?n.list.b:a}var yP=class{constructor(e,t,a){this.node=e,this.tensorMap=t,this.context=a,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,r)=>(n[r]=this.getAttr(r),n),{}))}getInput(e){return ua(e,this.tensorMap,this.context)}getAttr(e,t){let a=this.node.rawAttrs[e];if(a.tensor!=null)return ua(e,this.tensorMap,this.context);if(a.i!=null||a.f!=null)return l1(this.node.rawAttrs,e,t);if(a.s!=null)return i1(this.node.rawAttrs,e,t);if(a.b!=null)return o1(this.node.rawAttrs,e,t);if(a.shape!=null)return p1(this.node.rawAttrs,e,t);if(a.type!=null)return u1(this.node.rawAttrs,e,t);if(a.list!=null){if(a.list.i!=null||a.list.f!=null)return c1(this.node.rawAttrs,e,t);if(a.list.s!=null)return h1(this.node.rawAttrs,e,t);if(a.list.shape!=null)return f1(this.node.rawAttrs,e,t);if(a.list.b!=null)return m1(this.node.rawAttrs,e,t);if(a.list.type!=null)return d1(this.node.rawAttrs,e,t)}return t}},Qt={};Ze(Qt,{OP_SCOPE_SUFFIX:()=>G1,abs:()=>Za,acos:()=>MA,acosh:()=>FA,add:()=>ke,addN:()=>Eh,all:()=>_A,any:()=>$A,argMax:()=>rr,argMin:()=>DA,asin:()=>PA,asinh:()=>OA,atan:()=>zA,atan2:()=>LA,atanh:()=>WA,avgPool:()=>Q1,avgPool3d:()=>GA,basicLSTMCell:()=>HA,batchNorm:()=>Mp,batchNorm2d:()=>jA,batchNorm3d:()=>qA,batchNorm4d:()=>XA,batchToSpaceND:()=>e3,bincount:()=>t3,bitwiseAnd:()=>KA,booleanMaskAsync:()=>$4,broadcastArgs:()=>YA,broadcastTo:()=>Fl,buffer:()=>$e,cast:()=>Ke,ceil:()=>ZA,clipByValue:()=>JA,clone:()=>Sa,complex:()=>Sr,concat:()=>lt,concat1d:()=>QA,concat2d:()=>Fu,concat3d:()=>eb,concat4d:()=>tb,conv1d:()=>ab,conv2d:()=>Fp,conv2dTranspose:()=>rb,conv3d:()=>sb,conv3dTranspose:()=>ib,cos:()=>ob,cosh:()=>lb,cosineWindow:()=>Vh,cumprod:()=>ub,cumsum:()=>db,denseBincount:()=>pb,depthToSpace:()=>cb,depthwiseConv2d:()=>Mh,diag:()=>hb,dilation2d:()=>fb,div:()=>ve,divNoNan:()=>gb,dot:()=>yb,dropout:()=>L4,einsum:()=>xb,elu:()=>r3,enclosingPowerOfTwo:()=>$3,ensureShape:()=>Ab,equal:()=>n3,erf:()=>bb,euclideanNorm:()=>kb,exp:()=>Qr,expandDims:()=>Ht,expm1:()=>Ib,eye:()=>i3,fft:()=>zh,fill:()=>sr,floor:()=>o3,floorDiv:()=>Rp,fused:()=>D3,gather:()=>l3,gatherND:()=>z4,greater:()=>Dp,greaterEqual:()=>u3,ifft:()=>Vd,imag:()=>Pp,image:()=>fe,inTopKAsync:()=>W4,irfft:()=>N3,isFinite:()=>Sb,isInf:()=>Cb,isNaN:()=>Tb,leakyRelu:()=>d3,less:()=>ih,lessEqual:()=>Fh,linalg:()=>X4,linspace:()=>Nb,localResponseNormalization:()=>Rb,log:()=>Ll,log1p:()=>p3,logSigmoid:()=>Mb,logSoftmax:()=>Fb,logSumExp:()=>h3,logicalAnd:()=>Ld,logicalNot:()=>f3,logicalOr:()=>m3,logicalXor:()=>_b,losses:()=>K4,lowerBound:()=>$b,matMul:()=>pt,max:()=>ga,maxPool:()=>g3,maxPool3d:()=>Db,maxPoolWithArgmax:()=>Pb,maximum:()=>y3,mean:()=>Wd,meshgrid:()=>Ob,min:()=>Jr,minimum:()=>Bd,mirrorPad:()=>zb,mod:()=>_u,moments:()=>Lb,movingAverage:()=>D4,mul:()=>te,multiRNNCell:()=>Wb,multinomial:()=>Bb,neg:()=>Ln,norm:()=>$p,notEqual:()=>x3,oneHot:()=>oh,ones:()=>Ur,onesLike:()=>Vb,op:()=>z,outerProduct:()=>Ub,pad:()=>ir,pad1d:()=>Gb,pad2d:()=>Hb,pad3d:()=>jb,pad4d:()=>qb,pool:()=>Xb,pow:()=>zl,prelu:()=>b3,print:()=>X1,prod:()=>Kb,raggedGather:()=>Yb,raggedRange:()=>Zb,raggedTensorToTensor:()=>Jb,rand:()=>Qb,randomGamma:()=>n4,randomNormal:()=>S3,randomStandardNormal:()=>r4,randomUniform:()=>Dh,randomUniformInt:()=>s4,range:()=>Wl,real:()=>Bl,reciprocal:()=>i4,relu:()=>Op,relu6:()=>C3,reshape:()=>Q,reverse:()=>es,reverse1d:()=>o4,reverse2d:()=>l4,reverse3d:()=>u4,reverse4d:()=>d4,rfft:()=>Lh,round:()=>T3,rsqrt:()=>p4,scalar:()=>Ue,scatterND:()=>P4,searchSorted:()=>$h,selu:()=>c4,separableConv2d:()=>h4,setdiff1dAsync:()=>f4,sigmoid:()=>Wa,sign:()=>m4,signal:()=>q4,sin:()=>g4,sinh:()=>y4,slice:()=>De,slice1d:()=>x4,slice2d:()=>A4,slice3d:()=>zp,slice4d:()=>Ph,softmax:()=>Oh,softplus:()=>c3,spaceToBatchND:()=>A3,sparse:()=>Y4,sparseToDense:()=>O4,spectral:()=>j4,split:()=>Ca,sqrt:()=>er,square:()=>Cn,squaredDifference:()=>R3,squeeze:()=>Oe,stack:()=>ca,step:()=>E3,stridedSlice:()=>b4,string:()=>Z4,sub:()=>ye,sum:()=>ot,tan:()=>v4,tanh:()=>sh,tensor:()=>Ve,tensor1d:()=>jt,tensor2d:()=>Zn,tensor3d:()=>M3,tensor4d:()=>w4,tensor5d:()=>k4,tensor6d:()=>I4,tensorScatterUpdate:()=>C4,tile:()=>jr,topk:()=>T4,transpose:()=>js,truncatedNormal:()=>N4,unique:()=>R4,unsortedSegmentSum:()=>E4,unstack:()=>Ra,upperBound:()=>M4,variable:()=>F4,where:()=>kr,whereAsync:()=>_3,zeros:()=>gn,zerosLike:()=>Qa});var xP=(e,t,a,n=Qt)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[n.add(k("a",e,t,a),k("b",e,t,a))];case"AddN":return[n.addN(k("tensors",e,t,a))];case"FloorMod":case"Mod":return[n.mod(k("a",e,t,a),k("b",e,t,a))];case"Mul":return[n.mul(k("a",e,t,a),k("b",e,t,a))];case"RealDiv":case"Div":return[n.div(k("a",e,t,a),k("b",e,t,a))];case"DivNoNan":return[n.divNoNan(k("a",e,t,a),k("b",e,t,a))];case"FloorDiv":return[n.floorDiv(k("a",e,t,a),k("b",e,t,a))];case"Sub":return[n.sub(k("a",e,t,a),k("b",e,t,a))];case"Minimum":return[n.minimum(k("a",e,t,a),k("b",e,t,a))];case"Maximum":return[n.maximum(k("a",e,t,a),k("b",e,t,a))];case"Pow":return[n.pow(k("a",e,t,a),k("b",e,t,a))];case"SquaredDifference":return[n.squaredDifference(k("a",e,t,a),k("b",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},AP=(e,t,a,n=Qt)=>{switch(e.op){case"Abs":case"ComplexAbs":return[n.abs(k("x",e,t,a))];case"Acos":return[n.acos(k("x",e,t,a))];case"Acosh":return[n.acosh(k("x",e,t,a))];case"Asin":return[n.asin(k("x",e,t,a))];case"Asinh":return[n.asinh(k("x",e,t,a))];case"Atan":return[n.atan(k("x",e,t,a))];case"Atan2":return[n.atan2(k("x",e,t,a),k("y",e,t,a))];case"Atanh":return[n.atanh(k("x",e,t,a))];case"Ceil":return[n.ceil(k("x",e,t,a))];case"Complex":return[n.complex(k("real",e,t,a),k("imag",e,t,a))];case"Cos":return[n.cos(k("x",e,t,a))];case"Cosh":return[n.cosh(k("x",e,t,a))];case"Elu":return[n.elu(k("x",e,t,a))];case"Erf":return[n.erf(k("x",e,t,a))];case"Exp":return[n.exp(k("x",e,t,a))];case"Expm1":return[n.expm1(k("x",e,t,a))];case"Floor":return[n.floor(k("x",e,t,a))];case"Log":return[n.log(k("x",e,t,a))];case"Log1p":return[n.log1p(k("x",e,t,a))];case"Imag":return[n.imag(k("x",e,t,a))];case"Neg":return[n.neg(k("x",e,t,a))];case"Reciprocal":return[n.reciprocal(k("x",e,t,a))];case"Real":return[n.real(k("x",e,t,a))];case"Relu":return[n.relu(k("x",e,t,a))];case"Round":return[n.round(k("x",e,t,a))];case"Selu":return[n.selu(k("x",e,t,a))];case"Sigmoid":return[n.sigmoid(k("x",e,t,a))];case"Sin":return[n.sin(k("x",e,t,a))];case"Sign":return[n.sign(k("x",e,t,a))];case"Sinh":return[n.sinh(k("x",e,t,a))];case"Softplus":return[n.softplus(k("x",e,t,a))];case"Sqrt":return[n.sqrt(k("x",e,t,a))];case"Square":return[n.square(k("x",e,t,a))];case"Tanh":return[n.tanh(k("x",e,t,a))];case"Tan":return[n.tan(k("x",e,t,a))];case"ClipByValue":return[n.clipByValue(k("x",e,t,a),k("clipValueMin",e,t,a),k("clipValueMax",e,t,a))];case"Relu6":return[n.relu6(k("x",e,t,a))];case"Rsqrt":return[n.rsqrt(ua(e.inputNames[0],t,a))];case"LeakyRelu":return[n.leakyRelu(k("x",e,t,a),k("alpha",e,t,a))];case"Prelu":return[n.prelu(k("x",e,t,a),k("alpha",e,t,a))];case"IsNan":return[n.isNaN(ua(e.inputNames[0],t,a))];case"IsInf":return[n.isInf(ua(e.inputNames[0],t,a))];case"IsFinite":return[n.isFinite(ua(e.inputNames[0],t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Sn(e,t,a=""){if(!(typeof e=="number"||typeof t=="number")){v.assert(e.length===t.length,()=>a+` Shapes ${e} and ${t} must match`);for(let n=0;na+` Shapes ${e} and ${t} must match`)}}}function j5(e){return!(typeof e=="number"||e.some(t=>t<0))}function fd(e,t,a){let n=g1(e,a),r=!j5(n);if(r&&t.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${n}`);if(r&&t.forEach(s=>{n=g1(s.shape,n)}),!j5(n))throw new Error(`Non-fully-defined elementShape: ${n}`);return n}function g1(e,t){if(typeof e=="number")return t;if(typeof t=="number")return e;if(e.length!==t.length)throw new Error(`Incompatible ranks during merge: ${e} vs. ${t}`);let a=[];for(let n=0;n=0&&s>=0&&r!==s)throw new Error(`Incompatible shape during merge: ${e} vs. ${t}`);a[n]=r>=0?r:s}return a}var bP=class{constructor(e,t,a,n,r,s,i){this.name=e,this.dtype=t,this.maxSize=a,this.elementShape=n,this.identicalElementShapes=r,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=Ue(0),zn(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Sn(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),a.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(a.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);a.tensor=t,zn(t),a.written=!0,this.tensors[e]=a}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((a,n)=>this.write(a,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${a} vs. ${this.maxSize})`);this.writeMany(e,Ra(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let a=0,n=e.map(o=>(a+=o,a));if(a!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${a}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=a===0?0:t.size/a,s=[];Oe(()=>{t=Q(t,[1,a,r]);for(let o=0;o{if(a!==r.dtype)throw new Error(`Invalid data types; op elements ${a}, but list elements ${r.dtype}`);Sn(t,r.shape,"TensorList shape mismatch: "),On(r)}),this.idTensor=ze(0),this.maxNumElements=n,On(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,a=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(a!==-1&&this.tensors.length!==a)throw new Error(`Operation expected a list with ${a} elements but got a list with ${this.tensors.length} elements.`);Sn(e,this.elementShape,"TensorList shape mismatch: ");let n=Wu(this.elementShape,this.tensors,e);return Oe(()=>{let r=this.tensors.map(s=>Q(s,n));return ua(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let a=Wu(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Sn(n.shape,e,"TensorList shape mismatch: "),Q(n,a)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Sn(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");On(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new hl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let a=0;athis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Sn(this.tensors[e].shape,t,"TensorList shape mismatch: ");let n=Wu(this.elementShape,this.tensors,t);return Q(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Sn(this.elementShape,t.shape,"TensorList shape mismatch: "),On(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,a){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Sn(this.elementShape,a,"TensorList shape mismatch: "),e=e.slice(0,this.size());let n=Wu(this.elementShape,this.tensors,a);return e.length===0?Ue([],[0].concat(n)):Oe(()=>{let r=e.map(s=>Q(this.tensors[s],n));return ua(r,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Sn(this.elementShape,t,"TensorList shape mismatch: ");let a=Wu(this.elementShape,this.tensors,t);return this.size()===0?Ue([],[0].concat(a)):Oe(()=>{let n=this.tensors.map(r=>Q(r,a));return st(n,0)})}};function qP(e,t,a){let n=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==a)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${a}`);let r=e.shape.slice(1);Sn(r,t,"TensorList shape mismatch: ");let s=Na(e);return new hl(s,t,n)}function XP(e,t,a,n){return new hl([],e,t,n)}function KP(e,t,a,n){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(n!=null&&n!==-1&&r>=n)throw new Error(`Max index must be < array size (${r} vs. ${n})`);let s=new hl([],a,e.dtype,n),i=Na(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function ZP(e,t,a){let n=0,r=t.map(p=>(n+=p,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${a}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=a===0?0:t.size/a,s=[];Pe(()=>{t=Q(t,[1,a,r]);for(let o=0;o{if(a!==r.dtype)throw new Error(`Invalid data types; op elements ${a}, but list elements ${r.dtype}`);Sn(t,r.shape,"TensorList shape mismatch: "),zn(r)}),this.idTensor=Ue(0),this.maxNumElements=n,zn(this.idTensor)}copy(){return new Ul([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,a=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(a!==-1&&this.tensors.length!==a)throw new Error(`Operation expected a list with ${a} elements but got a list with ${this.tensors.length} elements.`);Sn(e,this.elementShape,"TensorList shape mismatch: ");let n=fd(this.elementShape,this.tensors,e);return Pe(()=>{let r=this.tensors.map(s=>Q(s,n));return ca(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let a=fd(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Sn(n.shape,e,"TensorList shape mismatch: "),Q(n,a)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Sn(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");zn(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Ul([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let a=0;athis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Sn(this.tensors[e].shape,t,"TensorList shape mismatch: ");let n=fd(this.elementShape,this.tensors,t);return Q(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Sn(this.elementShape,t.shape,"TensorList shape mismatch: "),zn(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,a){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Sn(this.elementShape,a,"TensorList shape mismatch: "),e=e.slice(0,this.size());let n=fd(this.elementShape,this.tensors,a);return e.length===0?Ve([],[0].concat(n)):Pe(()=>{let r=e.map(s=>Q(this.tensors[s],n));return ca(r,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Sn(this.elementShape,t,"TensorList shape mismatch: ");let a=fd(this.elementShape,this.tensors,t);return this.size()===0?Ve([],[0].concat(a)):Pe(()=>{let n=this.tensors.map(r=>Q(r,a));return lt(n,0)})}};function vP(e,t,a){let n=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==a)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${a}`);let r=e.shape.slice(1);Sn(r,t,"TensorList shape mismatch: ");let s=Ra(e);return new Ul(s,t,n)}function wP(e,t,a,n){return new Ul([],e,t,n)}function kP(e,t,a,n){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);let r=Math.max(...t);if(n!=null&&n!==-1&&r>=n)throw new Error(`Max index must be < array size (${r} vs. ${n})`);let s=new Ul([],a,e.dtype,n),i=Ra(e,0);return t.forEach((o,l)=>{s.setItem(o,i[l])}),s}function IP(e,t,a){let n=0,r=t.map(p=>(n+=p,n));if(n!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${n}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=h2(s,a),o=n===0?0:e.size/n,l=Oe(()=>{let p=[];e=Q(e,[1,n,o]);for(let c=0;c{switch(e.op){case"If":case"StatelessIf":{let n=w("thenBranch",e,t,a),r=w("elseBranch",e,t,a),s=w("cond",e,t,a),i=w("args",e,t,a);return(await s.data())[0]?a.functionMap[n].executeFunctionAsync(i,a.tensorArrayMap,a.tensorListMap):a.functionMap[r].executeFunctionAsync(i,a.tensorArrayMap,a.tensorListMap)}case"While":case"StatelessWhile":{let n=w("body",e,t,a),r=w("cond",e,t,a),s=w("args",e,t,a),i=await a.functionMap[r].executeFunctionAsync(s,a.tensorArrayMap,a.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await a.functionMap[n].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap);let c=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&c.indexOf(h.id)===-1&&h.dispose()});let d=await a.functionMap[r].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap);l=await d[0].data(),d.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&c.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let n=w("pred",e,t,a);return[yr(n)]}case"Switch":{let n=w("pred",e,t,a),r=w("data",e,t,a);return r.kept||(r=yr(r)),(await n.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let n=e.inputNames.find(r=>ka(r,t,a)!==void 0);if(n){let r=ka(n,t,a);return[yr(r)]}return}case"Enter":{let n=w("frameName",e,t,a),r=w("tensor",e,t,a);return a.enterFrame(n),[yr(r)]}case"Exit":{let n=w("tensor",e,t,a);return a.exitFrame(),[yr(n)]}case"NextIteration":{let n=w("tensor",e,t,a);return a.nextIteration(),[yr(n)]}case"TensorArrayV3":{let n=w("size",e,t,a),r=w("dtype",e,t,a),s=w("elementShape",e,t,a),i=w("dynamicSize",e,t,a),o=w("clearAfterRead",e,t,a),l=w("identicalElementShapes",e,t,a),u=w("name",e,t,a),p=new jP(u,r,n,s,l,i,o);return a.addTensorArray(p),[p.idTensor,ze(1)]}case"TensorArrayWriteV3":{let n=w("tensorArrayId",e,t,a),r=w("index",e,t,a),s=w("tensor",e,t,a),i=a.getTensorArray(n.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let n=w("tensorArrayId",e,t,a),r=w("index",e,t,a);return[a.getTensorArray(n.id).read(r)]}case"TensorArrayGatherV3":{let n=w("tensorArrayId",e,t,a),r=w("indices",e,t,a),s=w("dtype",e,t,a);return[a.getTensorArray(n.id).gather(r,s)]}case"TensorArrayScatterV3":{let n=w("tensorArrayId",e,t,a),r=w("indices",e,t,a),s=w("tensor",e,t,a),i=a.getTensorArray(n.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=w("tensorArrayId",e,t,a),r=a.getTensorArray(n.id),s=w("dtype",e,t,a);return[r.concat(s)]}case"TensorArraySplitV3":{let n=w("tensorArrayId",e,t,a),r=w("tensor",e,t,a),s=w("lengths",e,t,a),i=a.getTensorArray(n.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let n=w("tensorArrayId",e,t,a),r=a.getTensorArray(n.id);return[ze(r.size(),"int32")]}case"TensorArrayCloseV3":{let n=w("tensorArrayId",e,t,a),r=a.getTensorArray(n.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let n=w("tensorListId",e,t,a),r=w("index",e,t,a),s=w("tensor",e,t,a),i=a.getTensorList(n.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let n=w("tensorListId",e,t,a),r=w("index",e,t,a),s=w("elementShape",e,t,a),i=w("elementDType",e,t,a);return[a.getTensorList(n.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=w("indices",e,t,a),r=w("tensor",e,t,a),s=w("elementShape",e,t,a),i=w("numElements",e,t,a),o=KP(r,n,s,i);return a.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=w("elementShape",e,t,a),r=w("elementDType",e,t,a),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=w(s,e,t,a),o=e.op==="TensorListReserve"?-1:i,l=XP(n,r,i,o);return a.addTensorList(l),[l.idTensor]}case"TensorListGather":{let n=w("tensorListId",e,t,a),r=w("indices",e,t,a),s=w("elementShape",e,t,a),i=w("elementDType",e,t,a);return[a.getTensorList(n.id).gather(r,i,s)]}case"TensorListStack":{let n=w("tensorListId",e,t,a),r=w("elementShape",e,t,a),s=w("elementDType",e,t,a),i=w("numElements",e,t,a);return[a.getTensorList(n.id).stack(r,s,i)]}case"TensorListFromTensor":{let n=w("tensor",e,t,a),r=w("elementShape",e,t,a),s=w("elementDType",e,t,a),i=qP(n,r,s);return a.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=w("tensorListId",e,t,a),r=a.getTensorList(n.id),s=w("dtype",e,t,a),i=w("elementShape",e,t,a);return[r.concat(s,i)]}case"TensorListPushBack":{let n=w("tensorListId",e,t,a),r=w("tensor",e,t,a),s=a.getTensorList(n.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let n=w("tensorListId",e,t,a),r=w("elementShape",e,t,a),s=w("elementDType",e,t,a);return[a.getTensorList(n.id).popBack(r,s)]}case"TensorListSplit":{let n=w("tensor",e,t,a),r=w("elementShape",e,t,a),s=w("lengths",e,t,a),i=ZP(n,s,r);return a.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=w("tensorListId",e,t,a),r=a.getTensorList(n.id);return[ze(r.size(),"int32")]}case"TensorListResize":{let n=w("tensorListId",e,t,a),r=w("size",e,t,a),s=a.getTensorList(n.id).resize(r);return a.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Q5(e,t,a){let[n,r]=w("fusedOps",e,t,a),s=n==="biasadd",i=!s,o=r==="prelu",l=n==="fusedbatchnorm",u=w("numArgs",e,t,a);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=w("strides",e,t,a),c=xc(e,t,a),d=w("dataFormat",e,t,a).toUpperCase(),h=w("dilations",e,t,a),[f,m]=w("args",e,t,a);i&&(m=f,f=void 0);let g=w("leakyreluAlpha",e,t,a);return{stride:p,pad:c,dataFormat:d,dilations:h,biasArg:f,preluArg:m,activationFunc:r,leakyreluAlpha:g}}var JP=(e,t,a,n=Zt)=>{switch(e.op){case"Conv1D":{let r=w("stride",e,t,a),s=w("pad",e,t,a),i=w("dataFormat",e,t,a).toUpperCase(),o=w("dilation",e,t,a);return[n.conv1d(w("x",e,t,a),w("filter",e,t,a),r,s,i,o)]}case"Conv2D":{let r=w("strides",e,t,a),s=xc(e,t,a),i=w("dataFormat",e,t,a).toUpperCase(),o=w("dilations",e,t,a);return[n.conv2d(w("x",e,t,a),w("filter",e,t,a),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:c}=Q5(e,t,a);return[n.fused.conv2d({x:w("x",e,t,a),filter:w("filter",e,t,a),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:c})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:c}=Q5(e,t,a);return[n.fused.depthwiseConv2d({x:w("x",e,t,a),filter:w("filter",e,t,a),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:c})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=w("outputShape",e,t,a),s=w("strides",e,t,a),i=xc(e,t,a);return[n.conv2dTranspose(w("x",e,t,a),w("filter",e,t,a),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=w("strides",e,t,a),s=xc(e,t,a),i=w("dilations",e,t,a),o=w("dataFormat",e,t,a).toUpperCase();return[n.depthwiseConv2d(w("input",e,t,a),w("filter",e,t,a),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("dataFormat",e,t,a).toUpperCase(),o=w("dilations",e,t,a);return[n.conv3d(w("x",e,t,a),w("filter",e,t,a),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("kernelSize",e,t,a);return[n.avgPool(w("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("kernelSize",e,t,a);return[n.maxPool(w("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("kernelSize",e,t,a),o=w("includeBatchInIndex",e,t,a),{result:l,indexes:u}=n.maxPoolWithArgmax(w("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("kernelSize",e,t,a);return[n.avgPool3d(w("x",e,t,a),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("kernelSize",e,t,a);return[n.maxPool3d(w("x",e,t,a),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=w("strides",e,t,a),s=w("pad",e,t,a),i=w("dilations",e,t,a),o=r[1],l=r[2],u=i[1],p=i[2];return[n.dilation2d(w("x",e,t,a),w("filter",e,t,a),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},QP=(e,t,a,n=Zt)=>{switch(e.op){case"Fill":{let r=w("shape",e,t,a),s=w("dtype",e,t,a),i=w("value",e,t,a);return[n.fill(r,i,s)]}case"LinSpace":{let r=w("start",e,t,a),s=w("stop",e,t,a),i=w("num",e,t,a);return[n.linspace(r,s,i)]}case"Multinomial":{let r=w("logits",e,t,a),s=w("numSamples",e,t,a),i=w("seed",e,t,a);return[n.multinomial(r,s,i)]}case"OneHot":{let r=w("indices",e,t,a),s=w("depth",e,t,a),i=w("onValue",e,t,a),o=w("offValue",e,t,a),l=w("dtype",e,t,a);return[n.oneHot(r,s,i,o,l)]}case"Ones":return[n.ones(w("shape",e,t,a),w("dtype",e,t,a))];case"OnesLike":return[n.onesLike(w("x",e,t,a))];case"RandomStandardNormal":return[n.randomStandardNormal(w("shape",e,t,a),w("dtype",e,t,a),w("seed",e,t,a))];case"RandomUniform":return[n.randomUniform(w("shape",e,t,a),w("minval",e,t,a),w("maxval",e,t,a),w("dtype",e,t,a))];case"Range":{let r=w("start",e,t,a),s=w("stop",e,t,a),i=w("step",e,t,a);return[n.range(r,s,i,w("dtype",e,t,a))]}case"TruncatedNormal":{let r=w("shape",e,t,a),s=w("mean",e,t,a),i=w("stdDev",e,t,a),o=w("seed",e,t,a);return[n.truncatedNormal(r,s,i,w("dtype",e,t,a),o)]}case"Zeros":return[n.zeros(w("shape",e,t,a),w("dtype",e,t,a))];case"ZerosLike":return[n.zerosLike(w("x",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function Pm(e,t,a){let n=w("boxes",e,t,a),r=w("scores",e,t,a),s=w("maxOutputSize",e,t,a),i=w("iouThreshold",e,t,a),o=w("scoreThreshold",e,t,a),l=w("softNmsSigma",e,t,a);return{boxes:n,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var eF=async(e,t,a,n,r=Zt)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=Pm(e,t,a),c=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[c.selectedIndices,c.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=Pm(e,t,a),p=w("padToMaxOutputSize",e,t,a),c=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[c.selectedIndices,c.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=Pm(e,t,a);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(w("condition",e,t,a),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(w("x",e,t,a),w("y",e,t,a));default:throw TypeError(`Node type ${e.op} is not implemented`)}},tF=(e,t,a,n=Zt)=>{switch(e.op){case"LowerBound":{let r=w("sortedSequence",e,t,a),s=w("values",e,t,a);return[n.lowerBound(r,s)]}case"TopKV2":{let r=w("x",e,t,a),s=w("k",e,t,a),i=w("sorted",e,t,a),o=n.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=w("sortedSequence",e,t,a),s=w("values",e,t,a);return[n.upperBound(r,s)]}case"Unique":{let r=w("x",e,t,a),s=n.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=w("x",e,t,a),s=w("axis",e,t,a),i=n.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},aF=(e,t,a,n=Zt)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=w("default",e,t,a);return[ka(e.name,t,a)||r];case"Placeholder":return[ka(e.name,t,a)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=w("x",e,t,a);return[yr(p)]}case"IdentityN":return w("x",e,t,a).map(p=>yr(p));case"Snapshot":let s=w("x",e,t,a);return[yr(s)];case"Shape":return[n.tensor1d(w("x",e,t,a).shape,"int32")];case"ShapeN":return w("x",e,t,a).map(p=>n.tensor1d(p.shape));case"Size":return[n.scalar(w("x",e,t,a).size,"int32")];case"Rank":return[n.scalar(w("x",e,t,a).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=w("x",e,t,a),o=w("data",e,t,a),l=w("message",e,t,a),u=w("summarize",e,t,a);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ze(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let a=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),Oe(()=>{let n=Na(t),r=a.length,s=n.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let n=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=n.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=w("keyDType",e,t,a),i=w("valueDType",e,t,a),o=new nF(s,i);return n.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=w("tableHandle",e,t,a,n),s=w("keys",e,t,a),i=w("values",e,t,a);return[await n.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=w("tableHandle",e,t,a,n),s=w("keys",e,t,a),i=w("defaultValue",e,t,a);return[await n.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=w("tableHandle",e,t,a,n);return[n.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},sF=(e,t,a,n=Zt)=>{switch(e.op){case"ResizeBilinear":{let r=w("images",e,t,a),s=w("size",e,t,a),i=w("alignCorners",e,t,a),o=w("halfPixelCenters",e,t,a);return[n.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=w("images",e,t,a),s=w("size",e,t,a),i=w("alignCorners",e,t,a),o=w("halfPixelCenters",e,t,a);return[n.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=w("image",e,t,a),s=w("boxes",e,t,a),i=w("boxInd",e,t,a),o=w("cropSize",e,t,a),l=w("method",e,t,a),u=w("extrapolationValue",e,t,a);return[n.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=w("images",e,t,a),s=w("transforms",e,t,a),i=w("outputShape",e,t,a),o=w("fillValue",e,t,a),l=w("interpolation",e,t,a),u=w("fillMode",e,t,a);return[n.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},iF=(e,t,a,n=Zt)=>{switch(e.op){case"Equal":return[n.equal(w("a",e,t,a),w("b",e,t,a))];case"NotEqual":return[n.notEqual(w("a",e,t,a),w("b",e,t,a))];case"Greater":return[n.greater(w("a",e,t,a),w("b",e,t,a))];case"GreaterEqual":return[n.greaterEqual(w("a",e,t,a),w("b",e,t,a))];case"Less":return[n.less(w("a",e,t,a),w("b",e,t,a))];case"LessEqual":return[n.lessEqual(w("a",e,t,a),w("b",e,t,a))];case"LogicalAnd":return[n.logicalAnd(w("a",e,t,a),w("b",e,t,a))];case"LogicalNot":return[n.logicalNot(w("a",e,t,a))];case"LogicalOr":return[n.logicalOr(w("a",e,t,a),w("b",e,t,a))];case"Select":case"SelectV2":return[n.where(w("condition",e,t,a),w("a",e,t,a),w("b",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},oF=(e,t,a,n=Zt)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(w("a",e,t,a),w("b",e,t,a),w("transposeA",e,t,a),w("transposeB",e,t,a))];case"Einsum":return[n.einsum(w("equation",e,t,a),...w("tensors",e,t,a))];case"Transpose":return[n.transpose(w("x",e,t,a),w("perm",e,t,a))];case"_FusedMatMul":let[r,s]=w("fusedOps",e,t,a),i=r==="biasadd",o=s==="prelu",l=w("numArgs",e,t,a),u=w("leakyreluAlpha",e,t,a);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,c]=w("args",e,t,a);return[n.fused.matMul({a:w("a",e,t,a),b:w("b",e,t,a),transposeA:w("transposeA",e,t,a),transposeB:w("transposeB",e,t,a),bias:p,activation:s,preluActivationWeights:c,leakyreluAlpha:u})];default:throw TypeError(`Node type ${e.op} is not implemented`)}},lF=(e,t,a,n=Zt)=>{switch(e.op){case"EuclideanNorm":return[n.euclideanNorm(w("x",e,t,a),w("axis",e,t,a),w("keepDims",e,t,a))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(w("x",e,t,a),w("mean",e,t,a),w("variance",e,t,a),w("offset",e,t,a),w("scale",e,t,a),w("epsilon",e,t,a))];case"FusedBatchNormV3":return[n.batchNorm(w("x",e,t,a),w("mean",e,t,a),w("variance",e,t,a),w("offset",e,t,a),w("scale",e,t,a),w("epsilon",e,t,a))];case"LRN":return[n.localResponseNormalization(w("x",e,t,a),w("radius",e,t,a),w("bias",e,t,a),w("alpha",e,t,a),w("beta",e,t,a))];case"Softmax":return[n.softmax(w("x",e,t,a))];case"LogSoftmax":return[n.logSoftmax(w("x",e,t,a))];case"SparseToDense":return[n.sparseToDense(w("sparseIndices",e,t,a),w("outputShape",e,t,a),w("sparseValues",e,t,a),w("defaultValue",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},uF=(e,t,a,n=Zt)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=n.raggedGather(w("paramsNestedSplits",e,t,a),w("paramsDenseValues",e,t,a),w("indices",e,t,a),w("outputRaggedRank",e,t,a));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=n.raggedRange(w("starts",e,t,a),w("limits",e,t,a),w("splits",e,t,a));return[r,s]}case"RaggedTensorToTensor":return[n.raggedTensorToTensor(w("shape",e,t,a),w("values",e,t,a),w("defaultValue",e,t,a),w("rowPartitionTensors",e,t,a),w("rowPartitionTypes",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},dF=(e,t,a,n=Zt)=>{switch(e.op){case"Max":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.max(w("x",e,t,a),o,l)]}case"Mean":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.mean(w("x",e,t,a),o,l)]}case"Min":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.min(w("x",e,t,a),o,l)]}case"Sum":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.sum(w("x",e,t,a),o,l)]}case"All":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.all(w("x",e,t,a),o,l)]}case"Any":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.any(w("x",e,t,a),o,l)]}case"ArgMax":{let o=w("axis",e,t,a);return[n.argMax(w("x",e,t,a),o)]}case"ArgMin":{let o=w("axis",e,t,a);return[n.argMin(w("x",e,t,a),o)]}case"Prod":{let o=w("axis",e,t,a),l=w("keepDims",e,t,a);return[n.prod(w("x",e,t,a),o,l)]}case"Cumprod":{let o=w("axis",e,t,a),l=w("exclusive",e,t,a),u=w("reverse",e,t,a);return[n.cumprod(w("x",e,t,a),o,l,u)]}case"Cumsum":{let o=w("axis",e,t,a),l=w("exclusive",e,t,a),u=w("reverse",e,t,a);return[n.cumsum(w("x",e,t,a),o,l,u)]}case"Bincount":let r=w("x",e,t,a),s=w("weights",e,t,a),i=w("size",e,t,a);return[n.bincount(r,s,i)];case"DenseBincount":{let o=w("x",e,t,a),l=w("weights",e,t,a),u=w("size",e,t,a),p=w("binaryOutput",e,t,a);return[n.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},pF=(e,t,a,n=Zt)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=w("n",e,t,a),s=w("axis",e,t,a),i=w("tensors",e,t,a);return i=i.slice(0,r),[n.concat(i,s)]}case"Gather":{let r=w("x",e,t,a),s=w("indices",e,t,a);return[n.gather(r,n.cast(s,"int32"),0)]}case"GatherV2":{let r=w("axis",e,t,a),s=w("batchDims",e,t,a),i=w("x",e,t,a),o=w("indices",e,t,a);return[n.gather(i,n.cast(o,"int32"),r,s)]}case"Reverse":{let r=w("dims",e,t,a),s=[];for(let o=0;o{let r=w("axis",e,t,a),s=w("tensors",e,t,a),i=s[0].shape,o=n.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(n.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:n.reshape(u,i)});return[n.stack(l,r)]});case"Unpack":{let r=w("axis",e,t,a),s=w("tensor",e,t,a);return n.unstack(s,r)}case"Tile":{let r=w("reps",e,t,a);return[n.tile(w("x",e,t,a),r)]}case"Split":case"SplitV":{let r=w("axis",e,t,a),s=w("numOrSizeSplits",e,t,a),i=w("x",e,t,a);return n.split(i,s,r)}case"ScatterNd":{let r=w("indices",e,t,a),s=w("values",e,t,a),i=w("shape",e,t,a);return[n.scatterND(r,s,i)]}case"GatherNd":{let r=w("x",e,t,a),s=w("indices",e,t,a);return[n.gatherND(r,s)]}case"SparseToDense":{let r=w("sparseIndices",e,t,a),s=w("outputShape",e,t,a),i=w("sparseValues",e,t,a),o=w("defaultValue",e,t,a);return[n.sparseToDense(r,i,s,i.dtype===o.dtype?o:n.cast(o,i.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},cF=(e,t,a,n=Zt)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=n.sparse.sparseFillEmptyRows(w("indices",e,t,a),w("values",e,t,a),w("denseShape",e,t,a),w("defaultValue",e,t,a));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=n.sparse.sparseReshape(w("inputIndices",e,t,a),w("inputShape",e,t,a),w("newShape",e,t,a));return[r,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(w("data",e,t,a),w("indices",e,t,a),w("segmentIds",e,t,a))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(w("data",e,t,a),w("indices",e,t,a),w("segmentIds",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},hF=(e,t,a,n=Zt)=>{switch(e.op){case"FFT":return[n.fft(w("x",e,t,a))];case"IFFT":return[n.ifft(w("x",e,t,a))];case"RFFT":return[n.rfft(w("x",e,t,a))];case"IRFFT":return[n.irfft(w("x",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},fF=(e,t,a,n=Zt)=>{switch(e.op){case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=n.string.stringNGrams(w("data",e,t,a),w("dataSplits",e,t,a),w("separator",e,t,a),w("nGramWidths",e,t,a),w("leftPad",e,t,a),w("rightPad",e,t,a),w("padWidth",e,t,a),w("preserveShortSequences",e,t,a));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=n.string.stringSplit(w("input",e,t,a),w("delimiter",e,t,a),w("skipEmpty",e,t,a));return[r,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(w("input",e,t,a),w("numBuckets",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},mF=(e,t,a,n=Zt)=>{switch(e.op){case"Cast":return[n.cast(w("x",e,t,a),w("dtype",e,t,a))];case"ExpandDims":{let r=w("axis",e,t,a);return[n.expandDims(w("x",e,t,a),r)]}case"Squeeze":{let r=w("axis",e,t,a);return[n.squeeze(w("x",e,t,a),r)]}case"Reshape":return[n.reshape(w("x",e,t,a),w("shape",e,t,a))];case"MirrorPad":return[n.mirrorPad(w("x",e,t,a),w("padding",e,t,a),w("mode",e,t,a))];case"PadV2":case"Pad":return[n.pad(w("x",e,t,a),w("padding",e,t,a),w("constantValue",e,t,a))];case"SpaceToBatchND":{let r=w("blockShape",e,t,a),s=w("paddings",e,t,a);return[n.spaceToBatchND(w("x",e,t,a),r,s)]}case"BatchToSpaceND":{let r=w("blockShape",e,t,a),s=w("crops",e,t,a);return[n.batchToSpaceND(w("x",e,t,a),r,s)]}case"DepthToSpace":{let r=w("blockSize",e,t,a),s=w("dataFormat",e,t,a).toUpperCase();return[n.depthToSpace(w("x",e,t,a),r,s)]}case"BroadcastTo":return[n.broadcastTo(w("x",e,t,a),w("shape",e,t,a))];case"BroadcastArgs":return[n.broadcastArgs(w("s0",e,t,a),w("s1",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function ey(e,t,a,n,r=Oe){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>GP(i,o,l));case"basic_math":return r(()=>HP(i,o,l));case"control":return YP(i,o,l);case"convolution":return r(()=>JP(i,o,l));case"creation":return r(()=>QP(i,o,l));case"dynamic":return eF(i,o,l);case"evaluation":return r(()=>tF(i,o,l));case"image":return r(()=>sF(i,o,l));case"graph":return r(()=>aF(i,o,l));case"logical":return r(()=>iF(i,o,l));case"matrices":return r(()=>oF(i,o,l));case"normalization":return r(()=>lF(i,o,l));case"ragged":return r(()=>uF(i,o,l));case"reduction":return r(()=>dF(i,o,l));case"slice_join":return r(()=>pF(i,o,l));case"sparse":return r(()=>cF(i,o,l));case"spectral":return r(()=>hF(i,o,l));case"string":return r(()=>fF(i,o,l));case"transformation":return r(()=>mF(i,o,l));case"hash_table":return rF(i,o,l,n);case"custom":let u=v4(i.op);if(u&&u.customExecutor)return u.customExecutor(new UP(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,a);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var ty=class{constructor(e={},t={},a={},n={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=a,this.functionMap=n,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function ay(e,t,a,n){let r=new Set,s=[],i=null,o=null,l=new Set,u=Object.keys(e).map(d=>Ka(d)[0]),p=[];n!=null&&(p=n.map(d=>Ka(d.name)[0]));let c=[...t];for(;c.length>0;){let d=c.pop();if((U4(d)||bF(d)||vF(d))&&i==null&&(i=d,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(d.name),a[d.name]==null&&u.indexOf(d.name)===-1&&p.indexOf(d.name)===-1){if(d.inputs.length===0){s.push(d.name);continue}d.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),c.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function gF(e,t,a){let{usedNodes:n,inputs:r}=a,s=[],i=Object.keys(r).map(p=>Ka(p)[0]).map(p=>e.nodes[p]),o=e.initNodes;i.forEach(p=>{n.has(p.name)&&s.push(p)}),e.weights.forEach(p=>{n.has(p.name)&&s.push(p)}),o!=null&&o.forEach(p=>{n.has(p.name)&&s.push(p)});let l=new Set,u=[];for(;s.length>0;){let p=s.pop();l.add(p.name),t[p.name]||u.push(p),p.children.forEach(c=>{!l.has(c.name)&&n.has(c.name)&&c.inputs.every(d=>l.has(d.name))&&s.push(c)})}return u}var yF=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],xF=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],AF=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function U4(e){return yF.indexOf(e.op)>=0}function bF(e){return xF.indexOf(e.op)>=0}function vF(e){return AF.indexOf(e.op)>=0}var f2=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(a=>{this._functionExecutorMap[a]=new f2(e.functions[a],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(a=>e[a].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let a=e.map(r=>r.name).sort(),n=t.map(r=>r.name).sort();return a.join(this.SEPERATOR)+"--"+n.join(this.SEPERATOR)}compile(e,t){let a=ay(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:r,syncInputs:s}=a;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(n.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${n}]`)}return gF(this.graph,this.weightMap,a)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return On(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,a])=>[t,this.cloneTensorList(a)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let a=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=a.map(p=>this.graph.nodes[Ka(p)[0]]),r=t.map(p=>Ka(p)[0]),s=r.map(p=>this.graph.nodes[p]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(n,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));try{this.keepIntermediateTensors=V().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){this.keepIntermediateTensors=!1,console.warn(p.message)}let l={},u={};return Oe(()=>{let p=new ty(this.weightMap,l,u,this.functionExecutorMap),c=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(f=>{let[m,g]=Ka(f),y=[];y[g]=e[f],c[m]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(y))});let d=this.getFrozenTensorIds(c),h={};for(let f=0;fka(f,c,p))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(a=>e[a]).map(a=>a.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,a,n,r,s,i){t.category==="control"||s.indexOf(e)!==-1||(a[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=kP(o.name,a,n);l!=null&&l.forEach(u=>{if(u&&!u.kept&&!r.has(u.id)){let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,a=!1,n={},r={}){this.disposeIntermediateTensors(),a||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=V().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(c){this.keepIntermediateTensors=!1,console.warn(c.message)}let s=new ty(this.weightMap,n,r,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,a),o=t.map(c=>ka(c,i,s)),l=o.map(c=>c.id),u=Object.keys(e).map(c=>e[c].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(c=>{c.forEach(d=>{d&&!d.isDisposed&&!p.has(d.id)&&d.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,a){let n=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(n,this.outputNodes,!0,t,a)}async executeWithControlFlow(e,t,a,n){let r=Object.keys(e),s=r.map(x=>this.graph.nodes[Ka(x)[0]]),i=a.map(x=>Ka(x)[0]),o=i.map(x=>this.graph.nodes[x]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:u,dynamicNode:p,syncInputs:c}=ay(e,o,this.weightMap,this._initNodes),d=[...s,...this.graph.weights,...this._initNodes||[]].map(x=>({node:x,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(x=>{let[A,b]=Ka(x),k=[];k[b]=e[x],h[A]=k});let f={},m=this.getFrozenTensorIds(h),g={};for(;d.length>0;){let x=this.processStack(s,d,t,h,g,m,i,f,l);await Promise.all(x)}p==null&&!n&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(x=>!U4(x)&&!ka(x.name,h,t)).map(x=>x.name);if(y.length>0){let x="";throw p!=null&&(x=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${c}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${r}]. Consider providing the following inputs: [${u}]. ${x}`)}return h}processStack(e,t,a,n,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();a.currentContext=p.contexts;let c="";if(p.node.op==="Enter"&&w("isConstant",p.node,n,a)&&([c]=gr(p.node.name,a)),n[p.node.name]==null){let d=ey(p.node,n,a,this._resourceManager);c||([c]=gr(p.node.name,a));let h=a.currentContext;v.isPromise(d)?u.push(d.then(f=>(n[c]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(f)),a.currentContext=h,this.checkTensorForDisposal(c,p.node,n,a,s,i,o),this.processChildNodes(p.node,t,a,n,r,l),f))):(n[c]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(d)),this.checkTensorForDisposal(c,p.node,n,a,s,i,o),this.processChildNodes(p.node,t,a,n,r,l))}else this.processChildNodes(p.node,t,a,n,r,l)}return u}processChildNodes(e,t,a,n,r,s){e.children.forEach(i=>{let[o]=gr(i.name,a);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!ka(l,n,a))&&(r[o]=!0,t.push({contexts:a.currentContext,node:i})):i.inputNames.every(l=>!!ka(l,n,a))&&(r[o]=!0,t.push({contexts:a.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let a=e[t],[n]=Ka(t),r=this.graph.nodes[n];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===a.shape.length&&a.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${a.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(a.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${a.dtype}`)})}mapInputs(e){var t,a;let n={};for(let r in e){let s=(a=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||a===void 0?void 0:a[r];s!=null?n[s.name]=e[r]:n[r]=e[r]}return n}checkInputs(e){let t=Object.keys(e).filter(a=>{let[n]=Ka(a);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var a,n;let r=(n=(a=this._signature)===null||a===void 0?void 0:a.outputs)===null||n===void 0?void 0:n[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[a]=Ka(t);if(!this.graph.nodes[a])throw new Error(`The output '${t}' is not found in the graph`)})}},kF=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},wF="?tfjs-format=file",IF="model.json",up=class{constructor(e,t={},a=jn){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=a,t==null&&(this.loadOptions={}),this.resourceManager=new kF}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,a=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(a=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=a,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new f2(Z5.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=Z5.Instance.transformGraph(e.modelInitializer);this.initializer=new f2(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let a=this.io.getSaveHandlers(e);if(a.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(a.length>1)throw new Error(`Found more than one (${a.length}) save handlers for URL '${e}'`);e=a[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof ct?[e]:e,a={};return t.forEach((n,r)=>a[this.structuredOutputKeys[r]]=n),a}return e}predict(e,t){let a=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(a)}async predictAsync(e,t){let a=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(a)}normalizeInputs(e){var t;if(!(e instanceof ct)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let a=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+a!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-a} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[n++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,a=Object.keys(t);for(let n=0;n1?a:a[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let a=await this.executor.executeAsync(e,t);return a.length>1?a:a[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,a)=>(t[a]=[e[a]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&J(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function s3(e,t={},a=jn){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=TF(e));let n=new up(e,t,a);return await n.load(),n}function SF(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[n,r]=e;if(!n)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=jn.getWeightSpecs(n.weightsManifest),i=jn.getModelArtifactsForJSONSync(n,s,r);t=jn.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=jn.fromMemorySync(e);else throw new Error("Unknown model format");let a=new up(t);return a.load(),a}function TF(e){return e.endsWith("/")||(e=e+"/"),`${e}${IF}${wF}`}var CF="4.2.0";function Ae(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var NF=Nn.whereImpl,Th=class extends Al{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new kd(this,vt())}nextDataId(){return Th.nextDataId++}write(e,t,a){this.firstUse&&(this.firstUse=!1,V().get("IS_NODE")&&T.warn(` + ${n}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=g1(s,a),o=n===0?0:e.size/n,l=Pe(()=>{let p=[];e=Q(e,[1,n,o]);for(let c=0;c{switch(e.op){case"If":case"StatelessIf":{let n=k("thenBranch",e,t,a),r=k("elseBranch",e,t,a),s=k("cond",e,t,a),i=k("args",e,t,a);return(await s.data())[0]?a.functionMap[n].executeFunctionAsync(i,a.tensorArrayMap,a.tensorListMap):a.functionMap[r].executeFunctionAsync(i,a.tensorArrayMap,a.tensorListMap)}case"While":case"StatelessWhile":{let n=k("body",e,t,a),r=k("cond",e,t,a),s=k("args",e,t,a),i=await a.functionMap[r].executeFunctionAsync(s,a.tensorArrayMap,a.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await a.functionMap[n].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap);let c=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&c.indexOf(h.id)===-1&&h.dispose()});let d=await a.functionMap[r].executeFunctionAsync(u,a.tensorArrayMap,a.tensorListMap);l=await d[0].data(),d.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&c.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let n=k("pred",e,t,a);return[br(n)]}case"Switch":{let n=k("pred",e,t,a),r=k("data",e,t,a);return r.kept||(r=br(r)),(await n.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let n=e.inputNames.find(r=>ua(r,t,a)!==void 0);if(n){let r=ua(n,t,a);return[br(r)]}return}case"Enter":{let n=k("frameName",e,t,a),r=k("tensor",e,t,a);return a.enterFrame(n),[br(r)]}case"Exit":{let n=k("tensor",e,t,a);return a.exitFrame(),[br(n)]}case"NextIteration":{let n=k("tensor",e,t,a);return a.nextIteration(),[br(n)]}case"TensorArrayV3":{let n=k("size",e,t,a),r=k("dtype",e,t,a),s=k("elementShape",e,t,a),i=k("dynamicSize",e,t,a),o=k("clearAfterRead",e,t,a),l=k("identicalElementShapes",e,t,a),u=k("name",e,t,a),p=new bP(u,r,n,s,l,i,o);return a.addTensorArray(p),[p.idTensor,Ue(1)]}case"TensorArrayWriteV3":{let n=k("tensorArrayId",e,t,a),r=k("index",e,t,a),s=k("tensor",e,t,a),i=a.getTensorArray(n.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let n=k("tensorArrayId",e,t,a),r=k("index",e,t,a);return[a.getTensorArray(n.id).read(r)]}case"TensorArrayGatherV3":{let n=k("tensorArrayId",e,t,a),r=k("indices",e,t,a),s=k("dtype",e,t,a);return[a.getTensorArray(n.id).gather(r,s)]}case"TensorArrayScatterV3":{let n=k("tensorArrayId",e,t,a),r=k("indices",e,t,a),s=k("tensor",e,t,a),i=a.getTensorArray(n.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=k("tensorArrayId",e,t,a),r=a.getTensorArray(n.id),s=k("dtype",e,t,a);return[r.concat(s)]}case"TensorArraySplitV3":{let n=k("tensorArrayId",e,t,a),r=k("tensor",e,t,a),s=k("lengths",e,t,a),i=a.getTensorArray(n.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let n=k("tensorArrayId",e,t,a),r=a.getTensorArray(n.id);return[Ue(r.size(),"int32")]}case"TensorArrayCloseV3":{let n=k("tensorArrayId",e,t,a),r=a.getTensorArray(n.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let n=k("tensorListId",e,t,a),r=k("index",e,t,a),s=k("tensor",e,t,a),i=a.getTensorList(n.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let n=k("tensorListId",e,t,a),r=k("index",e,t,a),s=k("elementShape",e,t,a),i=k("elementDType",e,t,a);return[a.getTensorList(n.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=k("indices",e,t,a),r=k("tensor",e,t,a),s=k("elementShape",e,t,a),i=k("numElements",e,t,a),o=kP(r,n,s,i);return a.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=k("elementShape",e,t,a),r=k("elementDType",e,t,a),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,a),o=e.op==="TensorListReserve"?-1:i,l=wP(n,r,i,o);return a.addTensorList(l),[l.idTensor]}case"TensorListGather":{let n=k("tensorListId",e,t,a),r=k("indices",e,t,a),s=k("elementShape",e,t,a),i=k("elementDType",e,t,a);return[a.getTensorList(n.id).gather(r,i,s)]}case"TensorListStack":{let n=k("tensorListId",e,t,a),r=k("elementShape",e,t,a),s=k("elementDType",e,t,a),i=k("numElements",e,t,a);return[a.getTensorList(n.id).stack(r,s,i)]}case"TensorListFromTensor":{let n=k("tensor",e,t,a),r=k("elementShape",e,t,a),s=k("elementDType",e,t,a),i=vP(n,r,s);return a.addTensorList(i),[i.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let n=k("tensorListId",e,t,a),r=a.getTensorList(n.id),s=k("dtype",e,t,a),i=k("elementShape",e,t,a);return[r.concat(s,i)]}case"TensorListPushBack":{let n=k("tensorListId",e,t,a),r=k("tensor",e,t,a),s=a.getTensorList(n.id);return s.pushBack(r),[s.idTensor]}case"TensorListPopBack":{let n=k("tensorListId",e,t,a),r=k("elementShape",e,t,a),s=k("elementDType",e,t,a);return[a.getTensorList(n.id).popBack(r,s)]}case"TensorListSplit":{let n=k("tensor",e,t,a),r=k("elementShape",e,t,a),s=k("lengths",e,t,a),i=IP(n,s,r);return a.addTensorList(i),[i.idTensor]}case"TensorListLength":{let n=k("tensorListId",e,t,a),r=a.getTensorList(n.id);return[Ue(r.size(),"int32")]}case"TensorListResize":{let n=k("tensorListId",e,t,a),r=k("size",e,t,a),s=a.getTensorList(n.id).resize(r);return a.addTensorList(s),[s.idTensor]}default:throw TypeError(`Node type ${e.op} is not implemented`)}};function q5(e,t,a){let[n,r]=k("fusedOps",e,t,a),s=n==="biasadd",i=!s,o=r==="prelu",l=n==="fusedbatchnorm",u=k("numArgs",e,t,a);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let p=k("strides",e,t,a),c=qc(e,t,a),d=k("dataFormat",e,t,a).toUpperCase(),h=k("dilations",e,t,a),[f,m]=k("args",e,t,a);i&&(m=f,f=void 0);let g=k("leakyreluAlpha",e,t,a);return{stride:p,pad:c,dataFormat:d,dilations:h,biasArg:f,preluArg:m,activationFunc:r,leakyreluAlpha:g}}var CP=(e,t,a,n=Qt)=>{switch(e.op){case"Conv1D":{let r=k("stride",e,t,a),s=k("pad",e,t,a),i=k("dataFormat",e,t,a).toUpperCase(),o=k("dilation",e,t,a);return[n.conv1d(k("x",e,t,a),k("filter",e,t,a),r,s,i,o)]}case"Conv2D":{let r=k("strides",e,t,a),s=qc(e,t,a),i=k("dataFormat",e,t,a).toUpperCase(),o=k("dilations",e,t,a);return[n.conv2d(k("x",e,t,a),k("filter",e,t,a),[r[1],r[2]],s,i,[o[1],o[2]])]}case"_FusedConv2D":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:c}=q5(e,t,a);return[n.fused.conv2d({x:k("x",e,t,a),filter:k("filter",e,t,a),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:c})]}case"FusedDepthwiseConv2dNative":{let{stride:r,pad:s,dataFormat:i,dilations:o,biasArg:l,preluArg:u,activationFunc:p,leakyreluAlpha:c}=q5(e,t,a);return[n.fused.depthwiseConv2d({x:k("x",e,t,a),filter:k("filter",e,t,a),strides:[r[1],r[2]],pad:s,dataFormat:i,dilations:[o[1],o[2]],bias:l,activation:p,preluActivationWeights:u,leakyreluAlpha:c})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let r=k("outputShape",e,t,a),s=k("strides",e,t,a),i=qc(e,t,a);return[n.conv2dTranspose(k("x",e,t,a),k("filter",e,t,a),r,[s[1],s[2]],i)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=k("strides",e,t,a),s=qc(e,t,a),i=k("dilations",e,t,a),o=k("dataFormat",e,t,a).toUpperCase();return[n.depthwiseConv2d(k("input",e,t,a),k("filter",e,t,a),[r[1],r[2]],s,o,[i[1],i[2]])]}case"Conv3D":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("dataFormat",e,t,a).toUpperCase(),o=k("dilations",e,t,a);return[n.conv3d(k("x",e,t,a),k("filter",e,t,a),[r[1],r[2],r[3]],s,i,[o[1],o[2],o[3]])]}case"AvgPool":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("kernelSize",e,t,a);return[n.avgPool(k("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPool":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("kernelSize",e,t,a);return[n.maxPool(k("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s)]}case"MaxPoolWithArgmax":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("kernelSize",e,t,a),o=k("includeBatchInIndex",e,t,a),{result:l,indexes:u}=n.maxPoolWithArgmax(k("x",e,t,a),[i[1],i[2]],[r[1],r[2]],s,o);return[l,u]}case"AvgPool3D":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("kernelSize",e,t,a);return[n.avgPool3d(k("x",e,t,a),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"MaxPool3D":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("kernelSize",e,t,a);return[n.maxPool3d(k("x",e,t,a),[i[1],i[2],i[3]],[r[1],r[2],r[3]],s)]}case"Dilation2D":{let r=k("strides",e,t,a),s=k("pad",e,t,a),i=k("dilations",e,t,a),o=r[1],l=r[2],u=i[1],p=i[2];return[n.dilation2d(k("x",e,t,a),k("filter",e,t,a),[o,l],s,[u,p],"NHWC")]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},TP=(e,t,a,n=Qt)=>{switch(e.op){case"Fill":{let r=k("shape",e,t,a),s=k("dtype",e,t,a),i=k("value",e,t,a);return[n.fill(r,i,s)]}case"LinSpace":{let r=k("start",e,t,a),s=k("stop",e,t,a),i=k("num",e,t,a);return[n.linspace(r,s,i)]}case"Multinomial":{let r=k("logits",e,t,a),s=k("numSamples",e,t,a),i=k("seed",e,t,a);return[n.multinomial(r,s,i)]}case"OneHot":{let r=k("indices",e,t,a),s=k("depth",e,t,a),i=k("onValue",e,t,a),o=k("offValue",e,t,a),l=k("dtype",e,t,a);return[n.oneHot(r,s,i,o,l)]}case"Ones":return[n.ones(k("shape",e,t,a),k("dtype",e,t,a))];case"OnesLike":return[n.onesLike(k("x",e,t,a))];case"RandomStandardNormal":return[n.randomStandardNormal(k("shape",e,t,a),k("dtype",e,t,a),k("seed",e,t,a))];case"RandomUniform":return[n.randomUniform(k("shape",e,t,a),k("minval",e,t,a),k("maxval",e,t,a),k("dtype",e,t,a))];case"RandomUniformInt":return[n.randomUniformInt(k("shape",e,t,a),k("minval",e,t,a),k("maxval",e,t,a),k("seed",e,t,a))];case"Range":{let r=k("start",e,t,a),s=k("stop",e,t,a),i=k("step",e,t,a);return[n.range(r,s,i,k("dtype",e,t,a))]}case"TruncatedNormal":{let r=k("shape",e,t,a),s=k("mean",e,t,a),i=k("stdDev",e,t,a),o=k("seed",e,t,a);return[n.truncatedNormal(r,s,i,k("dtype",e,t,a),o)]}case"Zeros":return[n.zeros(k("shape",e,t,a),k("dtype",e,t,a))];case"ZerosLike":return[n.zerosLike(k("x",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function L2(e,t,a){let n=k("boxes",e,t,a),r=k("scores",e,t,a),s=k("maxOutputSize",e,t,a),i=k("iouThreshold",e,t,a),o=k("scoreThreshold",e,t,a),l=k("softNmsSigma",e,t,a);return{boxes:n,scores:r,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var NP=async(e,t,a,n,r=Qt)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u,softNmsSigma:p}=L2(e,t,a),c=await r.image.nonMaxSuppressionWithScoreAsync(s,i,o,l,u,p);return[c.selectedIndices,c.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=L2(e,t,a),p=k("padToMaxOutputSize",e,t,a),c=await r.image.nonMaxSuppressionPaddedAsync(s,i,o,l,u,p);return[c.selectedIndices,c.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:i,maxOutputSize:o,iouThreshold:l,scoreThreshold:u}=L2(e,t,a);return[await r.image.nonMaxSuppressionAsync(s,i,o,l,u)]}case"Where":{let s=r.cast(k("condition",e,t,a),"bool"),i=[await r.whereAsync(s)];return s.dispose(),i}case"ListDiff":return r.setdiff1dAsync(k("x",e,t,a),k("y",e,t,a));default:throw TypeError(`Node type ${e.op} is not implemented`)}},RP=(e,t,a,n=Qt)=>{switch(e.op){case"LowerBound":{let r=k("sortedSequence",e,t,a),s=k("values",e,t,a);return[n.lowerBound(r,s)]}case"TopKV2":{let r=k("x",e,t,a),s=k("k",e,t,a),i=k("sorted",e,t,a),o=n.topk(r,s,i);return[o.values,o.indices]}case"UpperBound":{let r=k("sortedSequence",e,t,a),s=k("values",e,t,a);return[n.upperBound(r,s)]}case"Unique":{let r=k("x",e,t,a),s=n.unique(r);return[s.values,s.indices]}case"UniqueV2":{let r=k("x",e,t,a),s=k("axis",e,t,a),i=n.unique(r,s);return[i.values,i.indices]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},EP=(e,t,a,n=Qt)=>{switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":let r=k("default",e,t,a);return[ua(e.name,t,a)||r];case"Placeholder":return[ua(e.name,t,a)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let p=k("x",e,t,a);return[br(p)]}case"IdentityN":return k("x",e,t,a).map(p=>br(p));case"Snapshot":let s=k("x",e,t,a);return[br(s)];case"Shape":return[n.tensor1d(k("x",e,t,a).shape,"int32")];case"ShapeN":return k("x",e,t,a).map(p=>n.tensor1d(p.shape));case"Size":return[n.scalar(k("x",e,t,a).size,"int32")];case"Rank":return[n.scalar(k("x",e,t,a).rank,"int32")];case"NoOp":return[n.scalar(1)];case"Print":let i=k("x",e,t,a),o=k("data",e,t,a),l=k("message",e,t,a),u=k("summarize",e,t,a);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(let p=0;pe.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Ue(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let a=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),Pe(()=>{let n=Ra(t),r=a.length,s=n.length;v.assert(r===s,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${s} elements.`);for(let i=0;i{let n=[];for(let r=0;r{switch(e.op){case"HashTable":case"HashTableV2":{let r=n.getHashTableHandleByName(e.name);if(r!=null)return[r];{let s=k("keyDType",e,t,a),i=k("valueDType",e,t,a),o=new MP(s,i);return n.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let r=k("tableHandle",e,t,a,n),s=k("keys",e,t,a),i=k("values",e,t,a);return[await n.getHashTableById(r.id).import(s,i)]}case"LookupTableFind":case"LookupTableFindV2":{let r=k("tableHandle",e,t,a,n),s=k("keys",e,t,a),i=k("defaultValue",e,t,a);return[await n.getHashTableById(r.id).find(s,i)]}case"LookupTableSize":case"LookupTableSizeV2":{let r=k("tableHandle",e,t,a,n);return[n.getHashTableById(r.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},_P=(e,t,a,n=Qt)=>{switch(e.op){case"ResizeBilinear":{let r=k("images",e,t,a),s=k("size",e,t,a),i=k("alignCorners",e,t,a),o=k("halfPixelCenters",e,t,a);return[n.image.resizeBilinear(r,[s[0],s[1]],i,o)]}case"ResizeNearestNeighbor":{let r=k("images",e,t,a),s=k("size",e,t,a),i=k("alignCorners",e,t,a),o=k("halfPixelCenters",e,t,a);return[n.image.resizeNearestNeighbor(r,[s[0],s[1]],i,o)]}case"CropAndResize":{let r=k("image",e,t,a),s=k("boxes",e,t,a),i=k("boxInd",e,t,a),o=k("cropSize",e,t,a),l=k("method",e,t,a),u=k("extrapolationValue",e,t,a);return[n.image.cropAndResize(r,s,i,o,l,u)]}case"ImageProjectiveTransformV3":{let r=k("images",e,t,a),s=k("transforms",e,t,a),i=k("outputShape",e,t,a),o=k("fillValue",e,t,a),l=k("interpolation",e,t,a),u=k("fillMode",e,t,a);return[n.image.transform(r,s,l.toLowerCase(),u.toLowerCase(),o,i)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},$P=(e,t,a,n=Qt)=>{switch(e.op){case"Equal":return[n.equal(k("a",e,t,a),k("b",e,t,a))];case"NotEqual":return[n.notEqual(k("a",e,t,a),k("b",e,t,a))];case"Greater":return[n.greater(k("a",e,t,a),k("b",e,t,a))];case"GreaterEqual":return[n.greaterEqual(k("a",e,t,a),k("b",e,t,a))];case"Less":return[n.less(k("a",e,t,a),k("b",e,t,a))];case"LessEqual":return[n.lessEqual(k("a",e,t,a),k("b",e,t,a))];case"LogicalAnd":return[n.logicalAnd(k("a",e,t,a),k("b",e,t,a))];case"LogicalNot":return[n.logicalNot(k("a",e,t,a))];case"LogicalOr":return[n.logicalOr(k("a",e,t,a),k("b",e,t,a))];case"Select":case"SelectV2":return[n.where(k("condition",e,t,a),k("a",e,t,a),k("b",e,t,a))];case"BitwiseAnd":return[n.bitwiseAnd(k("a",e,t,a),k("b",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},DP=(e,t,a,n=Qt)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[n.matMul(k("a",e,t,a),k("b",e,t,a),k("transposeA",e,t,a),k("transposeB",e,t,a))];case"Einsum":return[n.einsum(k("equation",e,t,a),...k("tensors",e,t,a))];case"Transpose":return[n.transpose(k("x",e,t,a),k("perm",e,t,a))];case"_FusedMatMul":let[r,s]=k("fusedOps",e,t,a),i=r==="biasadd",o=s==="prelu",l=k("numArgs",e,t,a),u=k("leakyreluAlpha",e,t,a);if(i){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[p,c]=k("args",e,t,a);return[n.fused.matMul({a:k("a",e,t,a),b:k("b",e,t,a),transposeA:k("transposeA",e,t,a),transposeB:k("transposeB",e,t,a),bias:p,activation:s,preluActivationWeights:c,leakyreluAlpha:u})];case"MatrixBandPart":return[n.linalg.bandPart(k("a",e,t,a),k("numLower",e,t,a),k("numUpper",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},PP=(e,t,a,n=Qt)=>{switch(e.op){case"EuclideanNorm":return[n.euclideanNorm(k("x",e,t,a),k("axis",e,t,a),k("keepDims",e,t,a))];case"FusedBatchNorm":case"FusedBatchNormV2":return[n.batchNorm(k("x",e,t,a),k("mean",e,t,a),k("variance",e,t,a),k("offset",e,t,a),k("scale",e,t,a),k("epsilon",e,t,a))];case"FusedBatchNormV3":return[n.batchNorm(k("x",e,t,a),k("mean",e,t,a),k("variance",e,t,a),k("offset",e,t,a),k("scale",e,t,a),k("epsilon",e,t,a))];case"LRN":return[n.localResponseNormalization(k("x",e,t,a),k("radius",e,t,a),k("bias",e,t,a),k("alpha",e,t,a),k("beta",e,t,a))];case"Softmax":return[n.softmax(k("x",e,t,a))];case"LogSoftmax":return[n.logSoftmax(k("x",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},OP=(e,t,a,n=Qt)=>{switch(e.op){case"RaggedGather":{let{outputNestedSplits:r,outputDenseValues:s}=n.raggedGather(k("paramsNestedSplits",e,t,a),k("paramsDenseValues",e,t,a),k("indices",e,t,a),k("outputRaggedRank",e,t,a));return r.concat(s)}case"RaggedRange":{let{rtNestedSplits:r,rtDenseValues:s}=n.raggedRange(k("starts",e,t,a),k("limits",e,t,a),k("splits",e,t,a));return[r,s]}case"RaggedTensorToTensor":return[n.raggedTensorToTensor(k("shape",e,t,a),k("values",e,t,a),k("defaultValue",e,t,a),k("rowPartitionTensors",e,t,a),k("rowPartitionTypes",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},zP=(e,t,a,n=Qt)=>{switch(e.op){case"Max":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.max(k("x",e,t,a),o,l)]}case"Mean":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.mean(k("x",e,t,a),o,l)]}case"Min":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.min(k("x",e,t,a),o,l)]}case"Sum":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.sum(k("x",e,t,a),o,l)]}case"All":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.all(k("x",e,t,a),o,l)]}case"Any":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.any(k("x",e,t,a),o,l)]}case"ArgMax":{let o=k("axis",e,t,a);return[n.argMax(k("x",e,t,a),o)]}case"ArgMin":{let o=k("axis",e,t,a);return[n.argMin(k("x",e,t,a),o)]}case"Prod":{let o=k("axis",e,t,a),l=k("keepDims",e,t,a);return[n.prod(k("x",e,t,a),o,l)]}case"Cumprod":{let o=k("axis",e,t,a),l=k("exclusive",e,t,a),u=k("reverse",e,t,a);return[n.cumprod(k("x",e,t,a),o,l,u)]}case"Cumsum":{let o=k("axis",e,t,a),l=k("exclusive",e,t,a),u=k("reverse",e,t,a);return[n.cumsum(k("x",e,t,a),o,l,u)]}case"Bincount":let r=k("x",e,t,a),s=k("weights",e,t,a),i=k("size",e,t,a);return[n.bincount(r,s,i)];case"DenseBincount":{let o=k("x",e,t,a),l=k("weights",e,t,a),u=k("size",e,t,a),p=k("binaryOutput",e,t,a);return[n.denseBincount(o,l,u,p)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},LP=(e,t,a,n=Qt)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=k("n",e,t,a),s=k("axis",e,t,a),i=k("tensors",e,t,a);return i=i.slice(0,r),[n.concat(i,s)]}case"Gather":{let r=k("x",e,t,a),s=k("indices",e,t,a);return[n.gather(r,n.cast(s,"int32"),0)]}case"GatherV2":{let r=k("axis",e,t,a),s=k("batchDims",e,t,a),i=k("x",e,t,a),o=k("indices",e,t,a);return[n.gather(i,n.cast(o,"int32"),r,s)]}case"Reverse":{let r=k("dims",e,t,a),s=[];for(let o=0;o{let r=k("axis",e,t,a),s=k("tensors",e,t,a),i=s[0].shape,o=n.squeeze(s[0]).shape,l=s.map(u=>{let p=v.arraysEqual(u.shape,i);if(!p&&!v.arraysEqual(n.squeeze(u).shape,o))throw new Error("the input tensors shape does not match");return p?u:n.reshape(u,i)});return[n.stack(l,r)]});case"Unpack":{let r=k("axis",e,t,a),s=k("tensor",e,t,a);return n.unstack(s,r)}case"Tile":{let r=k("reps",e,t,a);return[n.tile(k("x",e,t,a),r)]}case"Split":case"SplitV":{let r=k("axis",e,t,a),s=k("numOrSizeSplits",e,t,a),i=k("x",e,t,a);return n.split(i,s,r)}case"ScatterNd":{let r=k("indices",e,t,a),s=k("values",e,t,a),i=k("shape",e,t,a);return[n.scatterND(r,s,i)]}case"GatherNd":{let r=k("x",e,t,a),s=k("indices",e,t,a);return[n.gatherND(r,s)]}case"SparseToDense":{let r=k("sparseIndices",e,t,a),s=k("outputShape",e,t,a),i=k("sparseValues",e,t,a),o=k("defaultValue",e,t,a);return[n.sparseToDense(r,i,s,i.dtype===o.dtype?o:n.cast(o,i.dtype))]}case"TensorScatterUpdate":{let r=k("indices",e,t,a),s=k("values",e,t,a),i=k("tensor",e,t,a);return[n.tensorScatterUpdate(i,r,s)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},WP=(e,t,a,n=Qt)=>{switch(e.op){case"SparseFillEmptyRows":{let{outputIndices:r,outputValues:s,emptyRowIndicator:i,reverseIndexMap:o}=n.sparse.sparseFillEmptyRows(k("indices",e,t,a),k("values",e,t,a),k("denseShape",e,t,a),k("defaultValue",e,t,a));return[r,s,i,o]}case"SparseReshape":{let{outputIndices:r,outputShape:s}=n.sparse.sparseReshape(k("inputIndices",e,t,a),k("inputShape",e,t,a),k("newShape",e,t,a));return[r,s]}case"SparseSegmentMean":return[n.sparse.sparseSegmentMean(k("data",e,t,a),k("indices",e,t,a),k("segmentIds",e,t,a))];case"SparseSegmentSum":return[n.sparse.sparseSegmentSum(k("data",e,t,a),k("indices",e,t,a),k("segmentIds",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},BP=(e,t,a,n=Qt)=>{switch(e.op){case"FFT":return[n.fft(k("x",e,t,a))];case"IFFT":return[n.ifft(k("x",e,t,a))];case"RFFT":return[n.rfft(k("x",e,t,a))];case"IRFFT":return[n.irfft(k("x",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},VP=(e,t,a,n=Qt)=>{switch(e.op){case"StaticRegexReplace":return[n.string.staticRegexReplace(k("input",e,t,a),k("pattern",e,t,a),k("rewrite",e,t,a),k("replaceGlobal",e,t,a))];case"StringNGrams":{let{nGrams:r,nGramsSplits:s}=n.string.stringNGrams(k("data",e,t,a),k("dataSplits",e,t,a),k("separator",e,t,a),k("nGramWidths",e,t,a),k("leftPad",e,t,a),k("rightPad",e,t,a),k("padWidth",e,t,a),k("preserveShortSequences",e,t,a));return[r,s]}case"StringSplit":{let{indices:r,values:s,shape:i}=n.string.stringSplit(k("input",e,t,a),k("delimiter",e,t,a),k("skipEmpty",e,t,a));return[r,s,i]}case"StringToHashBucketFast":return[n.string.stringToHashBucketFast(k("input",e,t,a),k("numBuckets",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},UP=(e,t,a,n=Qt)=>{switch(e.op){case"Cast":return[n.cast(k("x",e,t,a),k("dtype",e,t,a))];case"ExpandDims":{let r=k("axis",e,t,a);return[n.expandDims(k("x",e,t,a),r)]}case"Squeeze":{let r=k("axis",e,t,a);return[n.squeeze(k("x",e,t,a),r)]}case"Reshape":return[n.reshape(k("x",e,t,a),k("shape",e,t,a))];case"EnsureShape":return[n.ensureShape(k("x",e,t,a),k("shape",e,t,a))];case"MirrorPad":return[n.mirrorPad(k("x",e,t,a),k("padding",e,t,a),k("mode",e,t,a))];case"PadV2":case"Pad":return[n.pad(k("x",e,t,a),k("padding",e,t,a),k("constantValue",e,t,a))];case"SpaceToBatchND":{let r=k("blockShape",e,t,a),s=k("paddings",e,t,a);return[n.spaceToBatchND(k("x",e,t,a),r,s)]}case"BatchToSpaceND":{let r=k("blockShape",e,t,a),s=k("crops",e,t,a);return[n.batchToSpaceND(k("x",e,t,a),r,s)]}case"DepthToSpace":{let r=k("blockSize",e,t,a),s=k("dataFormat",e,t,a).toUpperCase();return[n.depthToSpace(k("x",e,t,a),r,s)]}case"BroadcastTo":return[n.broadcastTo(k("x",e,t,a),k("shape",e,t,a))];case"BroadcastArgs":return[n.broadcastArgs(k("s0",e,t,a),k("s1",e,t,a))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function X5(e,t,a,n,r=Pe){let s=((i,o,l)=>{switch(i.category){case"arithmetic":return r(()=>xP(i,o,l));case"basic_math":return r(()=>AP(i,o,l));case"control":return SP(i,o,l);case"convolution":return r(()=>CP(i,o,l));case"creation":return r(()=>TP(i,o,l));case"dynamic":return NP(i,o,l);case"evaluation":return r(()=>RP(i,o,l));case"image":return r(()=>_P(i,o,l));case"graph":return r(()=>EP(i,o,l));case"logical":return r(()=>$P(i,o,l));case"matrices":return r(()=>DP(i,o,l));case"normalization":return r(()=>PP(i,o,l));case"ragged":return r(()=>OP(i,o,l));case"reduction":return r(()=>zP(i,o,l));case"slice_join":return r(()=>LP(i,o,l));case"sparse":return r(()=>WP(i,o,l));case"spectral":return r(()=>BP(i,o,l));case"string":return r(()=>VP(i,o,l));case"transformation":return r(()=>UP(i,o,l));case"hash_table":return FP(i,o,l,n);case"custom":let u=b7(i.op);if(u&&u.customExecutor)return u.customExecutor(new yP(i,o,l));throw TypeError(`Custom op ${i.op} is not registered.`);default:throw TypeError(`Unknown op '${i.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,a);return v.isPromise(s)?s.then(i=>[].concat(i)):[].concat(s)}var K5=class{constructor(e={},t={},a={},n={},r){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=a,this.functionMap=n,this.parseNodeNameCache=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function Y5(e,t,a,n){let r=new Set,s=[],i=null,o=null,l=new Set,u=new Set(Object.keys(e).map(d=>Ya(d)[0]));n=n||[];let p=new Set(n.map(d=>Ya(d.name)[0])),c=[...t];for(;c.length>0;){let d=c.pop();if((zs(d)||ZP(d)||JP(d))&&i==null&&(i=d,o=i.children.map(h=>h.name).filter(h=>r.has(h))),r.add(d.name),a[d.name]==null&&!u.has(d.name)&&!p.has(d.name)){if(d.inputs.length===0){s.push(d.name);continue}d.inputs.forEach(h=>{l.has(h.name)||(l.add(h.name),c.push(h))})}}return{inputs:e,outputs:t,usedNodes:r,missingInputs:s,dynamicNode:i,syncInputs:o}}function GP(e,t){let{usedNodes:a,inputs:n}=t,r=Object.keys(n).map(g=>Ya(g)[0]).map(g=>e.nodes[g]),s=e.initNodes||[],i=g=>a.has(typeof g=="string"?g:g.name);function o(g){return[...new Map(g.map(y=>[y.name,y])).values()]}let l=o([...r,...e.weights,...s]).filter(i),u=o([...l,...Object.values(e.nodes)]).filter(i),p=new Map(u.map(g=>[g.name,g])),c={};for(let g of u){c[g.name]=c[g.name]||0;for(let y of g.children)i(y)||(c[y.name]=Number.POSITIVE_INFINITY),c[y.name]=(c[y.name]||0)+1}let d=Object.entries(c).filter(([,g])=>g===0).map(([g])=>g),h=[...d];for(;d.length>0;){let g=d.pop(),y=p.get(g);for(let x of y.children.filter(i))--c[x.name]===0&&(h.push(x.name),d.push(x.name))}let f=h.map(g=>p.get(g)),m=HP(f,l);return jP(m,l),m}function HP(e,t){let a=new Map(e.map(s=>[s.name,s])),n=t.map(s=>s.name),r=new Set(n);for(;n.length>0;){let s=n.pop(),i=a.get(s);for(let o of i.children)!a.has(o.name)||r.has(o.name)||(r.add(o.name),n.push(o.name))}return e.filter(s=>r.has(s.name))}var Wc=class extends Error{constructor(e){super(`NodesExecutionOrderError: ${e}`)}};function jP(e,t){let a=new Map(e.map((o,l)=>[o.name,l])),n=new Set(t.map(o=>o.name)),r=o=>n.has(typeof o=="string"?o:o.name),s=new Set(e.map(o=>o.name)),i=o=>s.has(typeof o=="string"?o:o.name);for(let o of e){for(let l of o.children.filter(i)){if(!a.has(l.name))throw new Wc(`Child ${l.name} of node ${o.name} is unreachable.`);if(a.get(o.name)>a.get(l.name))throw new Wc(`Node ${o.name} is scheduled to run after its child ${l.name}.`)}if(!r(o))for(let l of o.inputs){if(!a.has(l.name))throw new Wc(`Input ${l.name} of node ${o.name} is unreachable.`);if(a.get(l.name)>a.get(o.name))throw new Wc(`Node ${o.name} is scheduled to run before its input ${l.name}.`)}}}function qP(e){let t=new Map(e.map((o,l)=>[o.name,l])),a=Number.MAX_SAFE_INTEGER,n=e.map((o,l)=>zs(o)?a:l),r=o=>{let l=n[t.get(o.name)];return l==null?-1:l},s=e.map((o,l)=>o.children.map(r).reduce((u,p)=>Math.max(u,p),n[l])),i=new Map;for(let o=0;oe[a].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(a=>{this._functionExecutorMap[a]=new y1(e.functions[a],this)})}getCompilationKey(e,t){let a=e.map(r=>r.name).sort(),n=t.map(r=>r.name).sort();return a.join(this.SEPARATOR)+"--"+n.join(this.SEPARATOR)}compile(e,t){let a=Y5(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:r,syncInputs:s}=a;if(r!=null)throw new Error(`This execution contains the node '${r.name}', which has the dynamic op '${r.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(n.length>0){let l=t.map(p=>p.name),u=Object.keys(e);throw new Error(`Cannot compute the outputs [${l}] from the provided inputs [${u}]. Missing the following inputs: [${n}]`)}let i=GP(this.graph,a),o=qP(i);return{orderedNodes:i,nodeLiveUntilMap:o}}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return zn(t),t}cloneTensorList(e){return e?e.map(t=>this.cloneAndKeepTensor(t)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,a])=>[t,this.cloneTensorList(a)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let a=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=a.map(c=>this.graph.nodes[Ya(c)[0]]),r=t.map(c=>Ya(c)[0]),s=new Set(r),i=r.map(c=>this.graph.nodes[c]);i.length===0&&(i=this._outputs);let o=this.getCompilationKey(n,i),l=this.compiledMap.get(o);l==null&&(l=this.compile(e,i),this.compiledMap.set(o,l));try{this.keepIntermediateTensors=W().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(c){this.keepIntermediateTensors=!1,console.warn(c.message)}let u={},p={};return Pe(()=>{let c=new K5(this.weightMap,u,p,this.functionExecutorMap,this.parseNodeNameCache),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(g=>{let[y,x]=Ya(g,c),A=[];A[x]=e[g],d[y]=A,this.keepIntermediateTensors&&(this.clonedTensorsMap[y]=this.cloneTensorList(A))});let h=this.getFrozenTensorIds(d),{orderedNodes:f,nodeLiveUntilMap:m}=l;for(let g of f){if(d[g.name])continue;let y=X5(g,d,c,this._resourceManager);if(v.isPromise(y))throw new Error(`The execution of the op '${g.op}' returned a promise. Please use model.executeAsync() instead.`);d[g.name]=y,this.keepIntermediateTensors&&(this.clonedTensorsMap[g.name]=this.cloneTensorList(y)),this.checkTensorForDisposalWithNodeLiveUntilInfo(g,d,c,h,s,m.get(g.name))}return this.parent==null&&c.dispose(h),t.map(g=>ua(g,d,c))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(a=>e[a]).map(a=>a.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,a,n,r,s,i){if(!(zs(t)||s.has(e))){for(let o of a[e])o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length);for(let o of t.inputs){if(zs(o))continue;let l=U5(o.name,a,n);if(l!=null)for(let u of l){if(!u||u.kept||r.has(u.id))continue;let p=i[u.id];p===1?(u.dispose(),delete i[u.id]):p!=null&&i[u.id]--}}}}checkTensorForDisposalWithNodeLiveUntilInfo(e,t,a,n,r,s){function i(o){return zs(o)||r.has(o.name)}if(!(zs(e)||s==null))for(let o of s){if(i(o))continue;let l=U5(o.name,t,a);for(let u of l)!u||u.kept||n.has(u.id)||u.dispose()}}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,a=!1,n={},r={}){this.disposeIntermediateTensors(),a||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=W().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(c){this.keepIntermediateTensors=!1,console.warn(c.message)}let s=new K5(this.weightMap,n,r,this.functionExecutorMap,this.parseNodeNameCache);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,s,t,a),o=t.map(c=>ua(c,i,s)),l=o.map(c=>c.id),u=Object.keys(e).map(c=>e[c].id),p=new Set([...l,...u,...this.weightIds]);return Object.values(i).forEach(c=>{c.forEach(d=>{d&&!d.isDisposed&&!p.has(d.id)&&d.dispose()})}),this.parent==null&&s.dispose(p),o}async executeFunctionAsync(e,t,a){let n=e.reduce((r,s,i)=>(r[this.inputs[i].name]=s,r),{});return this._executeAsync(n,this.outputNodes,!0,t,a)}async executeWithControlFlow(e,t,a,n){let r=Object.keys(e),s=r.map(A=>this.graph.nodes[Ya(A)[0]]),i=a.map(A=>Ya(A)[0]),o=new Set(i),l=i.map(A=>this.graph.nodes[A]);l.length===0&&(l=this._outputs);let{usedNodes:u,missingInputs:p,dynamicNode:c,syncInputs:d}=Y5(e,l,this.weightMap,this._initNodes),h=[...s,...this.graph.weights,...this._initNodes||[]].map(A=>({node:A,contexts:t.currentContext})),f=Object.assign({},this.weightMap);Object.keys(e).forEach(A=>{let[b,w]=Ya(A),C=[];C[w]=e[A],f[b]=C});let m={},g=this.getFrozenTensorIds(f),y={};for(;h.length>0;){let A=this.processStack(s,h,t,f,y,g,o,m,u);await Promise.all(A)}c==null&&!n&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let x=l.filter(A=>!zs(A)&&!ua(A.name,f,t)).map(A=>A.name);if(x.length>0){let A="";throw c!=null&&(A=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${x}] from the provided inputs [${r}]. Consider providing the following inputs: [${p}]. ${A}`)}return f}processStack(e,t,a,n,r,s,i,o,l){let u=[];for(;t.length>0;){let p=t.pop();a.currentContext=p.contexts;let c="";if(p.node.op==="Enter"&&k("isConstant",p.node,n,a)&&([c]=Ar(p.node.name,a)),n[p.node.name]==null){let d=X5(p.node,n,a,this._resourceManager);c||([c]=Ar(p.node.name,a));let h=a.currentContext;v.isPromise(d)?u.push(d.then(f=>(n[c]=f,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(f)),a.currentContext=h,this.checkTensorForDisposal(c,p.node,n,a,s,i,o),this.processChildNodes(p.node,t,a,n,r,l),f))):(n[c]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(d)),this.checkTensorForDisposal(c,p.node,n,a,s,i,o),this.processChildNodes(p.node,t,a,n,r,l))}else this.processChildNodes(p.node,t,a,n,r,l)}return u}processChildNodes(e,t,a,n,r,s){e.children.forEach(i=>{let[o]=Ar(i.name,a);r[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!ua(l,n,a))&&(r[o]=!0,t.push({contexts:a.currentContext,node:i})):i.inputNames.every(l=>!!ua(l,n,a))&&(r[o]=!0,t.push({contexts:a.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let a=e[t],[n]=Ya(t),r=this.graph.nodes[n];if(r.attrParams.shape&&r.attrParams.shape.value){let s=r.attrParams.shape.value,i=s.length===a.shape.length&&a.shape.every((o,l)=>s[l]===-1||s[l]===o);v.assert(i,()=>`The shape of dict['${r.name}'] provided in model.execute(dict) must be [${s}], but was [${a.shape}]`)}r.attrParams.dtype&&r.attrParams.dtype.value&&v.assert(a.dtype===r.attrParams.dtype.value,()=>`The dtype of dict['${r.name}'] provided in model.execute(dict) must be ${r.attrParams.dtype.value}, but was ${a.dtype}`)})}mapInputs(e){var t,a;let n={};for(let r in e){let s=(a=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||a===void 0?void 0:a[r];s!=null?n[s.name]=e[r]:n[r]=e[r]}return n}checkInputs(e){let t=Object.keys(e).filter(a=>{let[n]=Ya(a);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var a,n;let r=(n=(a=this._signature)===null||a===void 0?void 0:a.outputs)===null||n===void 0?void 0:n[t];return r!=null?r.name:t},{})}checkOutputs(e){e.forEach(t=>{let[a]=Ya(t);if(!this.graph.nodes[a])throw new Error(`The output '${t}' is not found in the graph`)})}},QP=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},eO="?tfjs-format=file",tO="model.json",Lp=class{get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}constructor(e,t={},a=Kn){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=a,t==null&&(this.loadOptions={}),this.resourceManager=new QP}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return v.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,a=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let r=this.artifacts.userDefinedMetadata;r.signature!=null&&(a=r.signature),r.structuredOutputKeys!=null&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=a,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new y1(G5.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let r=G5.Instance.transformGraph(e.modelInitializer);this.initializer=new y1(r),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let a=this.io.getSaveHandlers(e);if(a.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(a.length>1)throw new Error(`Found more than one (${a.length}) save handlers for URL '${e}'`);e=a[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof gt?[e]:e,a={};return t.forEach((n,r)=>a[this.structuredOutputKeys[r]]=n),a}return e}predict(e,t){let a=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(a)}async predictAsync(e,t){let a=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(a)}normalizeInputs(e){var t;if(!(e instanceof gt)&&!Array.isArray(e)){let r=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(r!=null)for(let s in r){let i=r[s];i.resourceId!=null&&(e[s]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let a=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+a!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-a} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((r,s)=>{var i,o,l;let u=(l=(o=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||o===void 0?void 0:o[s])===null||l===void 0?void 0:l.resourceId;return u!=null?r[s]=this.resourceIdToCapturedInput[u]:r[s]=e[n++],r},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,a=Object.keys(t);for(let n=0;n1?a:a[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let a=await this.executor.executeAsync(e,t);return a.length>1?a:a[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,a)=>(t[a]=[e[a]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&J(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function Y3(e,t={},a=Kn){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&typeof e=="string"&&(e=nO(e));let n=new Lp(e,t,a);return await n.load(),n}function aO(e){if(e==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let t;if(e instanceof Array){let[n,r]=e;if(!n)throw new Error("modelJSON must be the first element of the array");if(!r||!(r instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in n))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in n))throw new Error("Model JSON is missing 'weightsManifest'");let s=Kn.getWeightSpecs(n.weightsManifest),i=Kn.getModelArtifactsForJSONSync(n,s,r);t=Kn.fromMemorySync(i)}else if("load"in e)t=e;else if("modelTopology"in e&&"weightSpecs"in e&&"weightData"in e)t=Kn.fromMemorySync(e);else throw new Error("Unknown model format");let a=new Lp(t);return a.load(),a}function nO(e){return e.endsWith("/")||(e=e+"/"),`${e}${tO}${eO}`}var rO="4.5.0";function Ie(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var sO=Nn.whereImpl,Xh=class extends Kl{nextDataId(){return Xh.nextDataId++}constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Zd(this,It())}write(e,t,a){this.firstUse&&(this.firstUse=!1,W().get("IS_NODE")&&S.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. -============================`));let n={id:this.nextDataId()};return this.data.set(n,{values:e,dtype:a,refCount:1}),n}makeTensorInfo(e,t,a){let n;if(t==="string"&&a!=null&&a.length>0&&v.isString(a[0])){let r=a.map(s=>v.encodeString(s));n=this.write(r,e,t)}else n=this.write(a,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,a,n,r){this.data.set(e,{values:t,dtype:n,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:a}=this.data.get(e);if(t==="complex64"){let n=this.readSync(a.real.dataId),r=this.readSync(a.imag.dataId);return T.mergeRealAndImagArrays(n,r)}return v.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let a=t.map(n=>v.decodeString(n));return _e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return _e(e.shape,e.dtype,t)}makeOutput(e,t,a){return vt().makeTensorFromTensorInfo(this.makeTensorInfo(t,a,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:a}=this.data.get(e);a!=null&&(this.disposeData(a.real.dataId,!0),this.disposeData(a.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){Ae([e],"where");let t=this.readSync(e.dataId);return NF(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Th.nextDataId=0;var Ch={};Ze(Ch,{addImpl:()=>j4,bincountImpl:()=>o3,bincountReduceImpl:()=>q4,castImpl:()=>H4,ceilImpl:()=>X4,concatImpl:()=>l3,equalImpl:()=>K4,expImpl:()=>Y4,expm1Impl:()=>Q4,floorImpl:()=>e7,gatherNdImpl:()=>t7,gatherV2Impl:()=>a7,greaterEqualImpl:()=>r7,greaterImpl:()=>n7,lessEqualImpl:()=>i7,lessImpl:()=>s7,linSpaceImpl:()=>o7,logImpl:()=>l7,maxImpl:()=>u7,maximumImpl:()=>d7,minimumImpl:()=>p7,multiplyImpl:()=>u3,negImpl:()=>c7,notEqualImpl:()=>h7,prodImpl:()=>f7,raggedGatherImpl:()=>m7,raggedRangeImpl:()=>g7,raggedTensorToTensorImpl:()=>y7,rangeImpl:()=>p3,rsqrtImpl:()=>x7,scatterImpl:()=>el,sigmoidImpl:()=>kO,simpleAbsImpl:()=>G4,sliceImpl:()=>Fc,sparseFillEmptyRowsImpl:()=>b7,sparseReshapeImpl:()=>v7,sparseSegmentReductionImpl:()=>c3,sqrtImpl:()=>SO,squaredDifferenceImpl:()=>k7,stridedSliceImpl:()=>w7,stringNGramsImpl:()=>h3,stringSplitImpl:()=>f3,stringToHashBucketFastImpl:()=>m3,subImpl:()=>I7,tileImpl:()=>S7,topKImpl:()=>C7,transposeImpl:()=>d3,uniqueImpl:()=>N7});function G4(e){let t=new Float32Array(e.length);for(let a=0;a{let{x:t}=e.inputs,a=e.backend;Ae(t,"abs");let n=new Float32Array(v.sizeFromShape(t.shape)),r=a.data.get(t.dataId).values;return n=G4(r),a.makeOutput(n,t.shape,t.dtype)},RF={kernelName:vl,backendName:"cpu",kernelFunc:EF};function Lt(e){return(t,a,n,r,s)=>{let i=T.assertAndGetBroadcastShape(t,a),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),c=t.length,d=a.length,h=v.computeStrides(t),f=v.computeStrides(a),m=T.getBroadcastDims(t,i),g=T.getBroadcastDims(a,i);if(m.length+g.length===0)for(let y=0;yA[C]=0);let b=v.locToIndex(A,c,h),k=x.slice(-d);g.forEach(C=>k[C]=0);let S=v.locToIndex(k,d,f);p[y]=e(n[b],r[S])}return[p,i]}}function Ya(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,o=a.makeTensorInfo(n.shape,"complex64"),l=a.data.get(o.dataId);return l.complexTensorInfos={real:a.makeTensorInfo(n.shape,"float32",s),imag:a.makeTensorInfo(r.shape,"float32",i)},o}var MF={kernelName:Td,backendName:"cpu",kernelFunc:Ya};function Pc(e,t,a="float32"){if(a==="complex64"){let r=Pc(e,t,"float32"),s=Pc(e,t,"float32");return Ya({inputs:{real:r,imag:s},backend:e})}let n=v.makeZerosTypedArray(v.sizeFromShape(t),a);return e.makeTensorInfo(t,a,n)}function er(e){let{inputs:t,backend:a}=e,{x:n}=t;return a.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var $F={kernelName:wi,backendName:"cpu",kernelFunc:er};function Us(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.data.get(n.dataId).complexTensorInfos.real,s=a.data.get(r.dataId).values;return a.makeTensorInfo(r.shape,r.dtype,s)}var _F={kernelName:Dd,backendName:"cpu",kernelFunc:Us};function H4(e,t,a,n){if(n==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(n==="bool"){let r=v.toTypedArray([0],a),[s,i]=Lt((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${a} to ${n}`)}function Jr(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return er({inputs:{x:r},backend:a});let p=Pc(a,r.shape,r.dtype),c=Jr({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),d=Ya({inputs:{real:c,imag:p},backend:a});return a.disposeIntermediateTensorInfo(p),a.disposeIntermediateTensorInfo(c),d}if(r.dtype==="complex64"){let p=Us({inputs:{input:r},backend:a}),c=Jr({inputs:{x:p},backend:a,attrs:{dtype:s}});return a.disposeIntermediateTensorInfo(p),c}if(!v.hasEncodingLoss(r.dtype,s)){let p=er({inputs:{x:r},backend:a});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=a.data.get(r.dataId).values,[o,l,u]=H4(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}var PF={kernelName:ti,backendName:"cpu",kernelFunc:Jr};function Yt(e,t,a,n){return a==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;Ae([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,c=i.dtype==="string"?T.fromUint8ToStringArray(u):u,d=i.dtype==="string"?T.fromUint8ToStringArray(p):p,h=n||i.dtype,[f,m]=t(i.shape,o.shape,c,d,h);return l.makeTensorInfo(m,h,f)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=Jr({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),c=p.complexTensorInfos.real,d=p.complexTensorInfos.imag,h=l.data.get(c.dataId).values,f=l.data.get(d.dataId).values,m=Jr({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(m.dataId),y=g.complexTensorInfos.real,x=g.complexTensorInfos.imag,A=l.data.get(y.dataId).values,b=l.data.get(x.dataId).values,[k,S,C]=a(i.shape,o.shape,h,f,A,b),N=l.makeTensorInfo(C,"float32",k),$=l.makeTensorInfo(C,"float32",S),M=Ya({inputs:{real:N,imag:$},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(m),l.disposeIntermediateTensorInfo(N),l.disposeIntermediateTensorInfo($),M}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,c=n||i.dtype,[d,h]=t(i.shape,o.shape,u,p,c);return l.makeTensorInfo(h,c,d)}}}function i3(e){return(t,a,n,r,s,i)=>{let o=T.assertAndGetBroadcastShape(t,a),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),c=v.getTypedArrayFromDType("float32",l),d=v.getTypedArrayFromDType("float32",l),h=T.getBroadcastDims(t,o),f=T.getBroadcastDims(a,o),m=T.mergeRealAndImagArrays(n,r),g=T.mergeRealAndImagArrays(s,i),y=t.length,x=v.computeStrides(t),A=a.length,b=v.computeStrides(a);if(h.length+f.length===0)for(let k=0;kC[I]=0);let N=v.locToIndex(C,y,x),$=S.slice(-A);f.forEach(I=>$[I]=0);let M=v.locToIndex($,A,b),R=e(m[N*2],m[N*2+1],g[M*2],g[M*2+1]);c[k]=R.real,d[k]=R.imag}return[c,d,o]}}var j4=Lt((e,t)=>e+t),FF=i3((e,t,a,n)=>({real:e+a,imag:t+n})),fl=Yt(ts,j4,FF),OF={kernelName:ts,backendName:"cpu",kernelFunc:fl};function o3(e,t,a,n,r){let s=v.sizeFromShape(n),i=v.makeZerosTypedArray(r,a);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function q4(e,t,a,n=!1){let r=e.shape[0],s=e.shape[1],i=_e([r,a],t.dtype);for(let o=0;o=a||(n?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}function os(e){return(t,a,n)=>{let r=v.getTypedArrayFromDType(a,t.length);for(let s=0;s{let{x:i}=n;if(Ae(i,e),i.dtype==="string"||a==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=v.sizeFromShape(i.shape),p=a||i.dtype,c=v.getArrayFromDType(p,u);for(let d=0;d{let{x:i}=n;if(Ae(i,e),i.dtype==="string"||a==="string")throw new Error("unaryKernelFunc does not support string input/output");let o=s,l=o.data.get(i.dataId).values,u=a||i.dtype,p=t(l,u,r);return o.makeTensorInfo(i.shape,u,p)}}var X4=os(e=>Math.ceil(e)),DF=ou(ai,X4),zF={kernelName:ai,backendName:"cpu",kernelFunc:DF};function l3(e,t,a,n){let r=v.getArrayFromDType(a,v.sizeFromShape(t));if(n&&a!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=a==="string"?T.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),Z4=Yt(fi,K4,null,"bool"),LF={kernelName:fi,backendName:"cpu",kernelFunc:Z4},Y4=os(e=>Math.exp(e)),J4=ou(mi,Y4,"float32"),BF={kernelName:mi,backendName:"cpu",kernelFunc:J4},Q4=os(e=>Math.expm1(e)),WF=ou(_l,Q4),VF={kernelName:_l,backendName:"cpu",kernelFunc:WF},e7=os(e=>Math.floor(e)),UF=ou(yi,e7),GF={kernelName:yi,backendName:"cpu",kernelFunc:UF};function t7(e,t,a,n,r,s,i,o,l){let u=_e([n,s],a);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${c} does not index into ${o}`);for(let h=0;he>t?1:0),HF=Yt(vi,n7,null,"bool"),jF={kernelName:vi,backendName:"cpu",kernelFunc:HF},r7=Lt((e,t)=>e>=t?1:0),qF=Yt(ki,r7,null,"bool"),XF={kernelName:ki,backendName:"cpu",kernelFunc:qF},s7=Lt((e,t)=>ee<=t?1:0),YF=Yt(Ci,i7,null,"bool"),JF={kernelName:Ci,backendName:"cpu",kernelFunc:YF};function o7(e,t,a){let n=(t-e)/(a-1),r=v.makeZerosTypedArray(a,"float32");r[0]=e;for(let s=1;sMath.log(e)),QF=ou(Ni,l7),eO={kernelName:Ni,backendName:"cpu",kernelFunc:QF};function u7(e,t,a,n){let r=v.getTypedArrayFromDType(n,v.sizeFromShape(a));for(let s=0;so)&&(o=u)}r[s]=o}return r}var d7=Lt((e,t)=>Math.max(e,t)),tO=Yt(_i,d7),aO={kernelName:_i,backendName:"cpu",kernelFunc:tO},p7=Lt((e,t)=>Math.min(e,t)),nO=Yt(Di,p7),rO={kernelName:Di,backendName:"cpu",kernelFunc:nO},u3=Lt((e,t)=>e*t),sO=i3((e,t,a,n)=>({real:e*a-t*n,imag:e*n+t*a})),Nh=Yt(Li,u3,sO),iO={kernelName:Li,backendName:"cpu",kernelFunc:Nh};function c7(e,t,a){let n=v.createScalarValue(-1,a);return u3([],t,n,e,a)}function oO(e){let{inputs:t,backend:a}=e,{x:n}=t;Ae(n,"neg");let r=a.data.get(n.dataId).values,[s,i]=c7(r,n.shape,n.dtype);return a.makeTensorInfo(i,n.dtype,s)}var lO={kernelName:Bl,backendName:"cpu",kernelFunc:oO},h7=Lt((e,t)=>e!==t?1:0),uO=Yt(Bi,h7,null,"bool"),dO={kernelName:Bi,backendName:"cpu",kernelFunc:uO};function d3(e,t,a,n,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(a,v.sizeFromShape(r));for(let p=0;pa.disposeIntermediateTensorInfo(x)),a.makeTensorInfo(y,g,f)}var hO={kernelName:qi,backendName:"cpu",kernelFunc:cO};function fO(e,t,a){e.forEach((n,r)=>{if(n<0||n>=a){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${n} is not in [0, ${a})`)}})}function mO(e,t){for(let a=0;ar)throw new Error("Ragged splits must not point past values");for(let s=1;sn[s])throw new Error("Ragged splits must be sorted in ascending order")}}function gO(e,t,a,n){let r=[],s=0,i=t.length-1+a.length,o=new Array(i).fill(null).map(()=>[0]);mO(a,n);let l=1;for(let u=0;u=0){let m=o[f],g=m[m.length-1]-h[p];for(let y=p;yr[i]=s)}return t}function ny(e,t){let a=e.slice(0,t);for(;a.length1)throw new Error("starts must be a scalar or vector");if(r.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");let o=t.length===0,l=r.length===0,u=i.length===0,p=[];o||p.push(t[0]),l||p.push(r[0]),u||p.push(i[0]);for(let g=1;g0&&xy)b=0;else if(b=Math.ceil(Math.abs((x-y)/A)),b>ry)throw new Error(`Requires ((limit - start) / delta) <= ${ry}`);d[g+1]=d[g]+b}let h=d[c],f=v.getArrayFromDType(a,h),m=0;for(let g=0;ga&&(a=r)}return a}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let a=0,n=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,a,n){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,a,n){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,a,n){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case wn.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,a,n);case wn.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,a,n);default:throw new Error(`Unsupported partition type: ${wn[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case wn.FIRST_DIM_SIZE:return e[0];case wn.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case wn.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${wn[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),a=new Array(this.raggedRank+1);a[a.length-1]=1;for(let s=a.length-2;s>=0;--s)a[s]=a[s+1]*t[s+1];let n=iy(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(n));if(a[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,a[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,a[i],t[i]);this.setOutput(this.raggedRank,s,r,n)}return[n,r]}setOutput(e,t,a,n){if(a.length===0)return;let r=this.values,s=a,i=n.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;Oe(()=>{let f=Q(u,h);u=rl(f,i).dataSync()})}let p=0,c=0,d=0;for(let h=0;h<=l;++h){let f=h=l){let m=a.length;f=Math.floor(m/o)}if(f>d)if(this.defaultValue.length===1)s.subarray(d*o,f*o).fill(this.defaultValue[0]),d=f;else for(;f>d;){let m=s.slice(d*o);sy(m,u,o),++d}f<0?(p=h+1,c=d):(p=h,c=d,d=c+1)}}};function sy(e,t,a){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}a.push(n)}return a}function y7(e,t,a,n,r,s,i,o,l,u){return new m2(e,t,a,n,r,s,i,o,l,u).compute()}function p3(e,t,a,n){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,n);let o=Math.abs(Math.ceil((t-e)/a)),l=v.makeZerosTypedArray(o,n);t1/Math.sqrt(e)),bO=ou(to,x7),vO={kernelName:to,backendName:"cpu",kernelFunc:bO};function el(e,t,a,n,r,s,i,o,l,u){let p=[n/r,r],c=e.values,d=t.values;if(n===0)return _e(a,t.dtype);let h=_e(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let f=0;f=n/r)throw new Error(`Invalid indices: ${m} does not index into ${a}`);for(let y=0;y1/(1+Math.exp(-e))),A7=ut(ro,e=>1/(1+Math.exp(-e))),wO={kernelName:ro,backendName:"cpu",kernelFunc:A7};function Fc(e,t,a,n,r){let s=St.isSliceContinous(n,t,a),i=v.sizeFromShape(a),o=v.computeStrides(n);if(s){let c=St.computeFlatOffset(t,o);return r==="string"?e.slice(c,c+i):e.subarray(c,c+i)}let l=r==="string"?T.fromUint8ToStringArray(e):e,u=_e(n,r,l),p=_e(a,r);for(let c=0;cf+t[m]);p.set(u.get(...h),...d)}return r==="string"?T.fromStringArrayToUint8(p.values):p.values}function Gs(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n;Ae(r,"slice");let[o,l]=St.parseSliceParams(r,s,i);St.assertParamsValid(r,o,l);let u=a.data.get(r.dataId).values,p=Fc(u,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,p)}var IO={kernelName:Xl,backendName:"cpu",kernelFunc:Gs};function b7(e,t,a,n,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),c=t[1];if(l===0){if(o!==0)throw new Error(T.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(a,0),y=v.getArrayFromDType(r,0);return[g,[0,c],y,u,p]}let d=!0,h=0,f=new Array(l).fill(0);for(let g=0;g=l)throw new Error(T.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,y,l));++f[y],d=d&&y>=h,h=y}let m=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(m&&d){let g=e,y=n;for(let x=0;x0){d[c-1]=1;for(let m=c-2;m>=0;--m)d[m]=d[m+1]*n[m+1]}let h=[];if(o>0){h[o-1]=1;for(let m=o-2;m>=0;--m)h[m]=h[m+1]*l[m+1]}let f=v.getArrayFromDType(a,i*o);for(let m=0;m0?r[o-1]+1:0;if(p<0)throw new Error(T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let c=t.slice();c[0]=p;let d=c.reduce((x,A)=>x*A,1),h=v.getArrayFromDType(a,d);if(o===0)return p>0&&h.fill(i),[h,c];if(p<=0)throw new Error(T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let f=0,m=1,g=0,y=r[f];for(;;){let x=0;if(m=x)throw new Error(T.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(y<0||y>=p)throw new Error(T.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y,p));y>g&&h.fill(i,g*u,y*u);for(let A=f;A=l[0])throw new Error(T.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(A,n[A],l[0]));for(let k=0;ko)break}return gMath.sqrt(e)),TO=ut(so,e=>Math.sqrt(e)),CO={kernelName:so,backendName:"cpu",kernelFunc:TO},k7=Lt((e,t)=>{let a=e-t;return a*a}),NO=Yt(lo,k7),EO={kernelName:lo,backendName:"cpu",kernelFunc:NO};function w7(e,t,a,n){let r=_e(e,t.dtype);for(let s=0;s0?0:i-o),d=0;d+=l*this.leftPad.length;for(let y=0;yy.forEach(x=>f[m++]=x);for(let y=0;y0){g(e[c+p-1]);for(let y=0;y0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=a,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${a}]`);o=t[l]}if(o!==a)throw new Error(`Last split value must be data size. Expected ${a}, got ${o}`)}let r=n-1,s=v.getArrayFromDType("int32",n);if(a===0||n===0){let o=new Array(a);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let c=t[o+1]-t[o],d=this.getNumNGrams(c,p);this.createNGrams(e,l,i,u,d,p),u+=d}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let c=p+2*this.padWidth,d=1;this.createNGrams(e,l,i,u,d,c)}}return[i,s]}};function h3(e,t,a,n,r,s,i,o){return new RO(a,n,r,s,i,o).compute(e,t)}function MO(e,t,a,n){if(!e.length)return;if(t.length===0){for(let s=0;se-t),$O=i3((e,t,a,n)=>({real:e-a,imag:t-n})),g3=Yt(po,I7,$O),_O={kernelName:po,backendName:"cpu",kernelFunc:g3};function S7(e,t){let a=new Array(e.rank);for(let r=0;r{let a=t.value-e.value;return a===0?e.index-t.index:a};function T7(e,t,a=0,n=e.length-1){for(;n>a;){if(n-a>600){let o=n-a+1,l=t-a+1,u=Math.log(o),p=.5*Math.exp(2*u/3),c=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),d=Math.max(a,Math.floor(t-l*p/o+c)),h=Math.min(n,Math.floor(t+(o-l)*p/o+c));T7(e,t,d,h)}let r=e[t],s=a,i=n;for(v.swap(e,a,t),Gu(e[n],r)>0&&v.swap(e,a,n);s0;)i=i-1}Gu(e[a],r)===0?v.swap(e,a,i):(i=i+1,v.swap(e,i,n)),i<=t&&(a=i+1),t<=i&&(n=i-1)}}function C7(e,t,a,n,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(a,i*n),u=v.getTypedArrayFromDType("int32",i*n);for(let c=0;cf[A]={value:x,index:A}),n{for(let g=0;gnew Th,1);var E7=ut(hi,e=>e>=0?e:Math.exp(e)-1),FO={kernelName:hi,backendName:"cpu",kernelFunc:E7};function R7(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n;Ae([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=a.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function M7(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t;Ae([n,r],"prelu");let s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,[o,l]=DO(n.shape,r.shape,s,i,"float32");return a.makeTensorInfo(l,"float32",o)}var zO={kernelName:ji,backendName:"cpu",kernelFunc:M7},$7=ut(Ki,e=>Math.max(0,e)),LO={kernelName:Ki,backendName:"cpu",kernelFunc:$7},_7=ut(Ji,e=>Math.min(Math.max(0,e),6)),BO={kernelName:Ji,backendName:"cpu",kernelFunc:_7};function Oc(e,t,a,n,r){if(a==="linear")return er({inputs:{x:t},backend:e});if(a==="relu")return $7({inputs:{x:t},backend:e});if(a==="elu")return E7({inputs:{x:t},backend:e});if(a==="relu6")return _7({inputs:{x:t},backend:e});if(a==="prelu")return M7({inputs:{x:t,alpha:n},backend:e});if(a==="leakyrelu")return R7({inputs:{x:t},backend:e,attrs:{alpha:r}});if(a==="sigmoid")return A7({inputs:{x:t},backend:e});throw new Error(`Activation ${a} has not been implemented for the CPU backend.`)}function mt(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{shape:s}=n,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),a.incRef(r.dataId);let u=a.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,c=u.complexTensorInfos.imag;p.shape=o,c.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var WO={kernelName:Hl,backendName:"cpu",kernelFunc:mt};function P7(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;Ae([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],c=o?s.shape[u-1]:s.shape[u-2],d=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],f=r.shape.slice(0,-2),m=s.shape.slice(0,-2),g=v.sizeFromShape(f),y=v.sizeFromShape(m),x=xo.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([d,h]);v.assert(p===c,()=>`Error in matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let A=i?[g,p,d]:[g,d,p],b=o?[y,h,c]:[y,c,h],k=mt({inputs:{x:r},backend:a,attrs:{shape:A}}),S=mt({inputs:{x:s},backend:a,attrs:{shape:b}}),C=i?k.shape[1]:k.shape[2],N=i?k.shape[2]:k.shape[1],$=o?S.shape[1]:S.shape[2],M=Math.max(g,y),R=a.data.get(k.dataId).values,I=a.data.get(S.dataId).values,_=v.computeStrides(k.shape),D=v.computeStrides(S.shape),[W,P,U]=i?[_[0],1,_[1]]:[_[0],_[1],1],[G,q,H]=o?[1,D[1],D[0]]:[D[1],1,D[0]],B=N*$,Z=_e([M,N,$],k.dtype),X=Z.values,re=a.blockSize;for(let ee=0;eeMath.acos(e)),jO={kernelName:kl,backendName:"cpu",kernelFunc:HO},qO=ut(wl,e=>Math.acosh(e)),XO={kernelName:wl,backendName:"cpu",kernelFunc:qO};function KO(e){let{inputs:t,backend:a}=e,n=t;Ae(t,"addN");let r=n.map(o=>a.data.get(o.dataId).values),s=_e(n[0].shape,n[0].dtype),i=s.values;for(let o=0;ox&&(x=k,A=b)}h[g]=A}return u.forEach(g=>a.disposeIntermediateTensorInfo(g)),a.makeTensorInfo(p,"int32",h)}var aD={kernelName:Js,backendName:"cpu",kernelFunc:tD};function nD(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n;Ae(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Va({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],T.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,c]=T.computeOutAndReduceShapes(l.shape,i),d=v.sizeFromShape(p),h=v.makeZerosTypedArray(d,"int32"),f=v.sizeFromShape(c),m=a.data.get(l.dataId).values;for(let g=0;ga.disposeIntermediateTensorInfo(g)),a.makeTensorInfo(p,"int32",h)}var rD={kernelName:Id,backendName:"cpu",kernelFunc:nD},sD=ut(Il,e=>Math.asin(e)),iD={kernelName:Il,backendName:"cpu",kernelFunc:sD},oD=ut(Sl,e=>Math.asinh(e)),lD={kernelName:Sl,backendName:"cpu",kernelFunc:oD},uD=ut(Tl,e=>Math.atan(e)),dD={kernelName:Tl,backendName:"cpu",kernelFunc:uD},pD=Lt((e,t)=>Math.atan2(e,t)),cD=Yt(Nl,pD),hD={kernelName:Nl,backendName:"cpu",kernelFunc:cD},fD=ut(Cl,e=>Math.atanh(e)),mD={kernelName:Cl,backendName:"cpu",kernelFunc:fD};function y3(e,t,a,n,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,c=r.effectiveFilterWidth,d=r.padInfo.top,h=r.padInfo.left,f=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=_e(r.outShape,a),g=m.values,y=r.outShape[1]*r.outShape[2]*r.outShape[3],x=r.outShape[2]*r.outShape[3],A=r.outShape[3];for(let b=0;bU?U=ee:s==="avg"&&(G+=ee,q++)}if(isNaN(U))break}let H=I+_*A+C;g[H]=s==="avg"?G/q:U}}}return m}function F7(e,t,a,n,r=!1,s=!1){let i=_e(n.outShape,"int32"),o=n.strideHeight,l=n.strideWidth,u=n.dilationHeight,p=n.dilationWidth,c=n.effectiveFilterHeight,d=n.effectiveFilterWidth,h=n.padInfo.top,f=n.padInfo.left,m=_e(t,a,e);for(let g=0;gM&&(M=P,r?R=s?((g*n.inHeight+I)*n.inWidth+D)*n.inChannels+y:(I*n.inWidth+D)*n.inChannels+y:R=_*d+W)}}i.set(R,g,x,S,y)}}return i}function O7(e,t,a,n,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,c=r.dilationWidth,d=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,m=r.padInfo.front,g=r.padInfo.top,y=r.padInfo.left,x=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,A=_e(r.outShape,a),b=A.values,k=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],S=r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[3]*r.outShape[4],N=r.outShape[4];for(let $=0;$ye?ye=ht:s==="avg"&&(Se+=ht,Ne++),isNaN(ye))break}if(isNaN(ye))break}if(isNaN(ye))break}let Be=ie+I;b[Be]=s==="avg"?Se/Math.max(Ne,1):ye}}}}return A}function gD(e,t){let a=_e(t.outShape,"int32"),n=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,c=t.effectiveFilterWidth,d=t.padInfo.front,h=t.padInfo.top,f=t.padInfo.left;for(let m=0;m=_&&(_=B,D=P*p*c+G*p+H)}}}a.set(D,m,y,k,$,g)}}}return a}function yD(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;Ae(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1;v.assert(T.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=T.computePool2DInfo(r.shape,s,i,u,o,l),c;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))c=er({inputs:{x:r},backend:a});else{let d=a.data.get(r.dataId).values,h=v.computeStrides(r.shape),f=y3(d,r.shape,r.dtype,h,p,"avg");c=a.makeTensorInfo(p.outShape,r.dtype,f.values)}return c}var xD={kernelName:Qs,backendName:"cpu",kernelFunc:yD};function AD(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n;Ae(r,"avgPool3d");let p=T.computePool3DInfo(r.shape,s,i,1,o,l,u),c=a.data.get(r.dataId).values,d=O7(c,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return a.makeTensorInfo(d.shape,"float32",d.values)}var bD={kernelName:Kc,backendName:"cpu",kernelFunc:AD};function vD(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n;Ae([r,s],"avgPool3DGrad");let p=T.computePool3DInfo(s.shape,i,o,1,l,u),c=p.strideDepth,d=p.strideHeight,h=p.strideWidth,f=p.filterDepth,m=p.filterHeight,g=p.filterWidth,y=p.dilationDepth,x=p.dilationHeight,A=p.dilationWidth,b=p.effectiveFilterDepth,k=p.effectiveFilterHeight,S=p.effectiveFilterWidth,C=b-1-p.padInfo.front,N=S-1-p.padInfo.left,$=k-1-p.padInfo.top,M=_e(s.shape,"float32"),R=1/(f*m*g),I=a.bufferSync(r);for(let _=0;_=p.outDepth||Math.floor(X)!==X))for(let re=0;re=p.outHeight||Math.floor(ee)!==ee))for(let he=0;he=p.outWidth||Math.floor(ie)!==ie)continue;let ye=I.get(_,X,ee,ie,D);B+=ye}}}M.set(B*R,_,W,P,U,D)}return a.makeTensorInfo(M.shape,M.dtype,M.values)}var kD={kernelName:L2,backendName:"cpu",kernelFunc:vD};function wD(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;Ae([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=T.computePool2DInfo(i.shape,o,l,1,u),c=p.strideHeight,d=p.strideWidth,h=p.filterHeight,f=p.filterWidth,m=p.dilationHeight,g=p.dilationWidth,y=p.effectiveFilterHeight,x=p.effectiveFilterWidth,A=x-1-p.padInfo.left,b=y-1-p.padInfo.top,k=_e(i.shape,"float32"),S=1/(h*f),C=a.data.get(r.dataId).values,N=_e(r.shape,"float32",C);for(let $=0;$=p.outHeight||Math.floor(U)!==U))for(let G=0;G=p.outWidth||Math.floor(q)!==q)continue;let H=N.get($,U,q,M);W+=H}}k.set(W*S,$,R,I,M)}return a.makeTensorInfo(k.shape,k.dtype,k.values)}var ID={kernelName:Xc,backendName:"cpu",kernelFunc:wD};function SD(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),Ae([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=n;u==null&&(u=.001);let p=a.data.get(r.dataId).values,c=a.data.get(o.dataId).values,d=a.data.get(l.dataId).values,h=s?a.data.get(s.dataId).values:new Float32Array([1]),f=i?a.data.get(i.dataId).values:new Float32Array([0]),m=new Float32Array(p.length),g=f.length,y=h.length,x=d.length,A=c.length,b=0,k=0,S=0,C=0;for(let N=0;N=g&&(b=0),k>=A&&(k=0),S>=y&&(S=0),C>=x&&(C=0);return a.makeTensorInfo(r.shape,r.dtype,m)}var TD={kernelName:Ai,backendName:"cpu",kernelFunc:SD};function CD(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;Ae([r],"batchToSpaceND");let o=s.reduce((y,x)=>y*x),l=T.getReshaped(r.shape,s,o),u=T.getPermuted(l.length,s.length),p=T.getReshapedPermuted(r.shape,s,o),c=T.getSliceBeginCoords(i,s.length),d=T.getSliceSize(p,i,s.length),h=mt({inputs:{x:r},backend:a,attrs:{shape:l}}),f=Va({inputs:{x:h},backend:a,attrs:{perm:u}}),m=mt({inputs:{x:f},backend:a,attrs:{shape:p}}),g=Gs({inputs:{x:m},backend:a,attrs:{begin:c,size:d}});return a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),g}var ND={kernelName:El,backendName:"cpu",kernelFunc:CD};function ED(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,u=o3(o,l,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,u)}var RD={kernelName:Sd,backendName:"cpu",kernelFunc:ED};function MD(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t,s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,o=T.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return a.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var $D={kernelName:Zc,backendName:"cpu",kernelFunc:MD},_D=ut(as,(e,t)=>{let a=t;return e>a.clipValueMax?a.clipValueMax:e{let{x:t}=e.inputs,a=e.backend,n=new Float32Array(v.sizeFromShape(t.shape)),r=a.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=a.data.get(s.dataId).values,l=a.data.get(i.dataId).values;for(let u=0;um.shape);T.assertParamsConsistent(i,s);let o=T.computeOutShape(t.map(m=>m.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(m=>v.sizeFromShape(m.shape)>0);if(l.length===1)return er({inputs:{x:l[0]},backend:a});if(l[0].dtype==="complex64"){let m=l.map(b=>Us({inputs:{input:b},backend:a})),g=l.map(b=>ml({inputs:{input:b},backend:a})),y=gl({inputs:m,backend:a,attrs:{axis:s}}),x=gl({inputs:g,backend:a,attrs:{axis:s}}),A=Ya({inputs:{real:y,imag:x},backend:a});return m.forEach(b=>a.disposeIntermediateTensorInfo(b)),g.forEach(b=>a.disposeIntermediateTensorInfo(b)),a.disposeIntermediateTensorInfo(y),a.disposeIntermediateTensorInfo(x),A}let u=l.map(m=>{let g=[-1,v.sizeFromShape(m.shape.slice(s))];return mt({inputs:{x:m},backend:a,attrs:{shape:g}})}),p=u.map(m=>({vals:a.data.get(m.dataId).values,shape:m.shape}));o=T.computeOutShape(u.map(m=>m.shape),1);let c=u[0].shape[0]===1,d=l3(p,o,t[0].dtype,c),h=T.computeOutShape(l.map(m=>m.shape),s),f=a.makeTensorInfo(h,t[0].dtype,d);return u.forEach(m=>a.disposeIntermediateTensorInfo(m)),f}var zD={kernelName:Rl,backendName:"cpu",kernelFunc:gl};function D7(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n;Ae([r,s],"conv2d");let c=T.convertConv2DDataFormat(l),d=T.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c),h=d.filterHeight,f=d.filterWidth,m=d.dilationHeight,g=d.dilationWidth,y=d.padInfo.left,x=d.padInfo.top,A=d.dataFormat==="channelsLast",b=new jt(d.outShape,r.dtype),k=v.computeStrides(r.shape),S=v.computeStrides(s.shape),C=k[0],N=A?k[1]:k[2],$=A?k[2]:1,M=A?1:k[1],R=b.strides[0],I=A?b.strides[1]:b.strides[2],_=A?b.strides[2]:1,D=A?1:b.strides[1],W=a.data.get(r.dataId).values,P=a.data.get(s.dataId).values,U=b.values;for(let G=0;G=d.inHeight)continue;let he=re*S[0],ie=q+ee*N;for(let ye=0;ye=d.inWidth)continue;let pt=he+Be*S[1],ot=ie+qe*$,at=pt;for(let nt=0;nt=u.inDepth)continue;let G=P*$[0],q=R+U*N[1];for(let H=0;H=u.inHeight)continue;let ee=G+X*$[1],he=q+re*N[2];for(let ie=0;ie=u.inWidth)continue;let qe=ee+Ne*$[2],pt=he+Be*u.inChannels,ot=qe;for(let at=0;atMath.cos(e)),YD={kernelName:si,backendName:"cpu",kernelFunc:ZD},JD=ut(ii,e=>Math.cosh(e)),QD={kernelName:ii,backendName:"cpu",kernelFunc:JD};function ez(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,[p,c,d,h]=r.shape,f=s.shape[0],[m,g]=o,y=_e([f,m,g,h],"float32"),x=a.data.get(s.dataId).values,A=a.data.get(i.dataId).values,b=a.data.get(r.dataId).values,k=v.computeStrides(r.shape),S=v.computeStrides(y.shape);for(let C=0;C=p)continue;let D=m>1?(R-$)*(c-1)/(m-1):0,W=g>1?(I-M)*(d-1)/(g-1):0;for(let P=0;P1?$*(c-1)+P*D:.5*($+R)*(c-1);if(U<0||U>c-1){for(let G=0;G1?M*(d-1)+B*W:.5*(M+I)*(d-1);if(Z<0||Z>d-1){for(let he=0;he1?M*(d-1)+G*W:.5*(M+I)*(d-1);if(q<0||q>d-1){for(let Z=0;Zy+f-x-1:(y,x)=>y+x;for(let y=0;yy+f-x-1:(y,x)=>y+x;for(let y=0;y`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],c=l*s,d=u*s,h=p/(s*s),f=a.data.get(r.dataId).values,m=new Float32Array(o*c*d*h),g=0;for(let y=0;y`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${d}'`);let h=T.computeConv2DInfo(r.shape,s.shape,i,d,o,u,!0),{filterHeight:f,filterWidth:m,dilationHeight:g,dilationWidth:y,padInfo:x}=h,A=x.left,b=x.top,k=h.outChannels/h.inChannels,S=new jt(h.outShape,r.dtype),C=a.data.get(r.dataId).values,N=a.data.get(s.dataId).values,$=S.values;for(let M=0;M=h.inHeight)continue;let G=P*c[0],q=R+U*p[1];for(let H=0;H=h.inWidth)continue;let ee=G+X*c[1],he=q+re*h.inChannels,ie=B,ye=ee;for(let Se=0;Se{let{x:n,filter:r}=e,{strides:s,pad:i,dilations:o}=a,l=t,u=l.data.get(n.dataId).values,p=n.shape.length,c=l.data.get(r.dataId).values,d=r.shape.length,{batchSize:h,inHeight:f,inWidth:m,inChannels:g,outHeight:y,outWidth:x,padInfo:A,strideHeight:b,strideWidth:k,filterHeight:S,filterWidth:C,dilationHeight:N,dilationWidth:$,outShape:M}=T.computeDilation2DInfo(n.shape,r.shape,s,i,"NHWC",o),R=v.sizeFromShape(M),I=M.length,_=v.getArrayFromDType(n.dtype,R);for(let D=0;D=0&&X=0&&eeH&&(H=ye)}}}let B=v.locToIndex([D,W,U,q],I,v.computeStrides(M));_[B]=H}}}return{dataId:l.write(v.toTypedArray(_,n.dtype),M,n.dtype),shape:M,dtype:n.dtype}}},xz={kernelName:Bm,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:a})=>{let{x:n,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=a,u=t,p=v.toNestedArray(n.shape,u.data.get(n.dataId).values),c=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:d,inHeight:h,inWidth:f,inChannels:m,outHeight:g,outWidth:y,padInfo:x,strideHeight:A,strideWidth:b,filterHeight:k,filterWidth:S,dilationHeight:C,dilationWidth:N,outShape:$}=T.computeDilation2DInfo(n.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===$.length,()=>`Error in ${Bm}, dy must have the same rank as output ${$.length}, but got ${s.rank}`);let M=v.toNestedArray($,u.data.get(s.dataId).values),R=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let I=0;I=0&&Z=0&&reG&&(G=ee,q=B,H=X)}}}R[q][H][U]+=M[I][_][W][U]}}}return{dataId:u.write(v.toTypedArray(R,n.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},Az={kernelName:Lm,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:a})=>{let{x:n,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=a,u=t,p=v.toNestedArray(n.shape,u.data.get(n.dataId).values),c=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:d,inHeight:h,inWidth:f,inChannels:m,outHeight:g,outWidth:y,padInfo:x,strideHeight:A,strideWidth:b,filterHeight:k,filterWidth:S,dilationHeight:C,dilationWidth:N,outShape:$}=T.computeDilation2DInfo(n.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===$.length,()=>`Error in ${Lm}, dy must have the same rank as output ${$.length}, but got ${s.rank}`);let M=v.toNestedArray($,u.data.get(s.dataId).values),R=v.makeZerosNestedTypedArray(n.shape,n.dtype);for(let I=0;I=0&&Z=0&&reG&&(G=ee,q=Z,H=re)}}}R[I][q][H][U]+=M[I][_][W][U]}}}return{dataId:u.write(v.toTypedArray(R,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function dp(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;Ae(r,"sum");let o;r.dtype==="bool"?o=Jr({inputs:{x:r},backend:a,attrs:{dtype:"int32"}}):o=er({inputs:{x:r},backend:a});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=T.getAxesPermutation(u,l),c=u,d=o;p!=null&&(d=Va({inputs:{x:o},backend:a,attrs:{perm:p}}),c=T.getInnerMostAxes(c.length,l)),T.assertAxesAreInnerMostDims("sum",c,d.shape.length);let[h,f]=T.computeOutAndReduceShapes(d.shape,c),m=T.upcastType(d.dtype,"int32"),g=Pc(a,h,m),y=v.sizeFromShape(f),x=a.data.get(g.dataId).values,A=a.data.get(d.dataId).values;for(let b=0;b=0&&(d=dp({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeIntermediateTensorInfo(m);return d}var kz={kernelName:Md,backendName:"cpu",kernelFunc:vz};function wz(e){let{inputs:t,backend:a}=e,{dy:n,y:r}=t;Ae([n,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=a.data.get(r.dataId).values,o=a.data.get(n.dataId).values;for(let l=0;l=1?s[l]=o[l]:s[l]=o[l]*(u+1)}return a.makeTensorInfo(r.shape,"float32",s)}var Iz={kernelName:W2,backendName:"cpu",kernelFunc:wz},Sz=T.ERF_P,Tz=T.ERF_A1,Cz=T.ERF_A2,Nz=T.ERF_A3,Ez=T.ERF_A4,Rz=T.ERF_A5,Mz=ut(Ml,e=>{let t=Math.sign(e),a=Math.abs(e),n=1/(1+Sz*a);return t*(1-((((Rz*n+Ez)*n+Nz)*n+Cz)*n+Tz)*n*Math.exp(-a*a))}),$z={kernelName:Ml,backendName:"cpu",kernelFunc:Mz};function Dc(e){let{inputs:t,backend:a,attrs:n}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),mt({inputs:{x:r},backend:a,attrs:{shape:o}})}var _z={kernelName:$l,backendName:"cpu",kernelFunc:Dc},Pz=Lt((e,t)=>e/t),x3=Yt(ci,Pz),g2={kernelName:ci,backendName:"cpu",kernelFunc:x3};function L7(e,t,a){let n=e.shape,r=n[0],s=n[1],i=a.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),c=v.getTypedArrayFromDType("float32",p),d=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:n}=e,r=a,s=v.getTypedArrayFromDType(n.dtype,v.sizeFromShape(n.shape)),[i,o,l,u]=n.shape,p=r.data.get(n.dataId).values;for(let c=0;c=0&&xMath.floor(e/t)),Gz=Yt(xi,Uz,null,"int32"),Hz={kernelName:xi,backendName:"cpu",kernelFunc:Gz};function jz(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=D7({inputs:{x:r,filter:s},backend:a,attrs:{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d}});if(i){let g=m;if(p==="NCHW"&&i.shape.length===1&&i.shape[0]!==1){let y=mt({inputs:{x:i},backend:a,attrs:{shape:[i.shape[0],1,1]}});m=fl({inputs:{a:m,b:y},backend:a}),a.disposeIntermediateTensorInfo(y)}else m=fl({inputs:{a:m,b:i},backend:a});a.disposeIntermediateTensorInfo(g)}if(h){let g=m;if(p==="NCHW"&&h==="prelu"&&o.shape.length===1&&o.shape[0]!==1){let y=mt({inputs:{x:o},backend:a,attrs:{shape:[o.shape[0],1,1]}});m=Oc(a,m,h,y,f),a.disposeIntermediateTensorInfo(y)}else m=Oc(a,m,h,o,f);a.disposeIntermediateTensorInfo(g)}return m}var qz={kernelName:jr,backendName:"cpu",kernelFunc:jz};function Xz(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=z7({inputs:{x:r,filter:s},backend:a,attrs:{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d}});if(i){let g=m;m=fl({inputs:{a:m,b:i},backend:a}),a.disposeIntermediateTensorInfo(g)}if(h){let g=m;m=Oc(a,m,h,o,f),a.disposeIntermediateTensorInfo(g)}return m}var Kz={kernelName:qr,backendName:"cpu",kernelFunc:Xz};function Zz(e){let{inputs:t,backend:a}=e,{params:n,indices:r}=t,s=v.sizeFromShape(n.shape),i=r.shape,o=i[i.length-1],[l,u,p,c]=T.prepareAndValidate(n,r);if(u===0)return a.makeTensorInfo(l,n.dtype,[]);let d=a.data.get(r.dataId).values,h=a.bufferSync(n),f=t7(d,h,n.dtype,u,o,p,c,n.shape,s);return a.makeTensorInfo(l,n.dtype,f.values)}var Yz={kernelName:bi,backendName:"cpu",kernelFunc:Zz};function Jz(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=n;Ae([r,s],"gatherV2");let l=v.parseAxisParam(i,r.shape)[0],u=a.data.get(s.dataId).values,p=r.shape[l];for(let b=0;b=0,()=>`GatherV2: the index value ${k} is not in [0, ${p-1}]`)}let c=o;o==null&&(c=0);let d=v.sizeFromShape(s.shape),h=T.segment_util.collectGatherOpShapeInfo(r,s,l,c),f=mt({inputs:{x:r},backend:a,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),m=mt({inputs:{x:s},backend:a,attrs:{shape:[h.batchSize,d/h.batchSize]}}),g=[h.batchSize,h.outerSize,d/h.batchSize,h.sliceSize],y=a.bufferSync(m),x=a.bufferSync(f),A=a7(x,y,g);return a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),a.makeTensorInfo(h.outputShape,A.dtype,A.values)}var Qz={kernelName:Fl,backendName:"cpu",kernelFunc:Jz};function eL(e){let{inputs:t,backend:a}=e,{input:n}=t,r=v.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=r/s,o=mt({inputs:{x:n},backend:a,attrs:{shape:[i,s]}}),l=L7(o,!0,a),u=mt({inputs:{x:l},backend:a,attrs:{shape:n.shape}});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(l),u}var tL={kernelName:_d,backendName:"cpu",kernelFunc:eL},aL=ut(Ol,e=>Number.isFinite(e)?1:0,"bool"),nL={kernelName:Ol,backendName:"cpu",kernelFunc:aL},rL=ut(Dl,e=>Math.abs(e)===1/0?1:0,"bool"),sL={kernelName:Dl,backendName:"cpu",kernelFunc:rL},iL=ut(Ii,e=>Number.isNaN(e)?1:0,"bool"),oL={kernelName:Ii,backendName:"cpu",kernelFunc:iL};function lL(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=o7(n,r,s);return t.makeTensorInfo([i.length],"float32",i)}var uL={kernelName:Fd,backendName:"cpu",kernelFunc:lL},dL=ut(zl,e=>Math.log1p(e)),pL={kernelName:zl,backendName:"cpu",kernelFunc:dL},cL=Lt((e,t)=>e&&t),hL=Yt(Ei,cL,null,"bool"),fL={kernelName:Ei,backendName:"cpu",kernelFunc:hL},mL=ut(Ri,e=>e?0:1,"bool"),gL={kernelName:Ri,backendName:"cpu",kernelFunc:mL},yL=Lt((e,t)=>e||t),xL=Yt(Mi,yL,null,"bool"),AL={kernelName:Mi,backendName:"cpu",kernelFunc:xL};function bL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;Ae(r,"LRN");let u=r.shape[3],p=u-1,c=a.data.get(r.dataId).values,d=v.sizeFromShape(r.shape),h=new Float32Array(d);function f(m){let g=m%u,y=m-g+Math.max(0,g-s),x=m-g+Math.min(g+s,p),A=0;for(;y<=x;y++){let b=c[y];A+=b*b}return A}for(let m=0;m`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=T.computePool2DInfo(r.shape,s,i,u,o,l),c;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))c=er({inputs:{x:r},backend:a});else{let d=a.data.get(r.dataId).values,h=v.computeStrides(r.shape),f=y3(d,r.shape,r.dtype,h,p,"max");c=a.makeTensorInfo(p.outShape,r.dtype,f.values)}return c}var TL={kernelName:Pi,backendName:"cpu",kernelFunc:SL};function CL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n;Ae(r,"maxPool3d");let p=T.computePool3DInfo(r.shape,s,i,1,o,l,u),c=a.data.get(r.dataId).values,d=O7(c,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return a.makeTensorInfo(d.shape,"float32",d.values)}var NL={kernelName:ah,backendName:"cpu",kernelFunc:CL};function EL(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n;Ae([r,s],"maxPool3DGrad");let p=T.computePool3DInfo(s.shape,i,o,1,l,u),c=a.bufferSync(s),d=gD(c,p),h=p.strideDepth,f=p.strideHeight,m=p.strideWidth,g=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,A=p.effectiveFilterDepth,b=p.effectiveFilterHeight,k=p.effectiveFilterWidth,S=A-1-p.padInfo.front,C=k-1-p.padInfo.left,N=b-1-p.padInfo.top,$=_e(s.shape,"float32"),M=a.bufferSync(r);for(let R=0;R=p.outDepth||Math.floor(B)!==B))for(let Z=0;Z=p.outHeight||Math.floor(X)!==X))for(let re=0;re=p.outWidth||Math.floor(ee)!==ee)continue;let he=A*b*k-1-d.get(R,B,X,ee,I),ie=H*b*k+Z*k+re,ye=he===ie?1:0;if(ye===0)continue;let Se=M.get(R,B,X,ee,I);q+=Se*ye}}}$.set(q,R,_,D,W,I)}return a.makeTensorInfo($.shape,$.dtype,$.values)}var RL={kernelName:G2,backendName:"cpu",kernelFunc:EL};function ML(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s,output:i}=t,o=s;Ae([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:c}=n,d=T.computePool2DInfo(o.shape,l,u,1,p,c),h=a.data.get(o.dataId).values,f=_e(d.outShape,o.dtype,F7(h,o.shape,o.dtype,d).values),m=d.strideHeight,g=d.strideWidth,y=d.dilationHeight,x=d.dilationWidth,A=d.effectiveFilterHeight,b=d.effectiveFilterWidth,k=b-1-d.padInfo.left,S=A-1-d.padInfo.top,C=_e(o.shape,"float32"),N=a.data.get(r.dataId).values,$=_e(r.shape,"float32",N);for(let M=0;M=d.outHeight||Math.floor(G)!==G))for(let q=0;q=d.outWidth||Math.floor(H)!==H)continue;let B=A*b-1-f.get(M,G,H,R),Z=U*b+q,X=B===Z?1:0;if(X===0)continue;let re=$.get(M,G,H,R);P+=re*X}}C.set(P,M,I,_,R)}return a.makeTensorInfo(C.shape,C.dtype,C.values)}var $L={kernelName:U2,backendName:"cpu",kernelFunc:ML};function _L(e,t,a,n,r){let s=v.computeStrides(t),i=y3(e,t,a,s,r,"max"),o=F7(e,t,a,r,!0,n);return[i.values,o.values]}var PL={kernelName:nh,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=a;Ae(n,"MaxPoolWithArgmax");let u=l.data.get(n.dataId).values,p=T.computePool2DInfo(n.shape,r,s,[1,1],i),[c,d]=_L(u,n.shape,n.dtype,o,p),h=l.write(c,p.outShape,n.dtype),f=l.write(d,p.outShape,n.dtype);return[{dataId:h,shape:p.outShape,dtype:n.dtype},{dataId:f,shape:p.outShape,dtype:"int32"}]}};function FL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=v.parseAxisParam(s,r.shape),l=T.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],c=a.makeTensorInfo([],"float32",new Float32Array([u]));p.push(c);let d=Jr({inputs:{x:r},backend:a,attrs:{dtype:"float32"}});p.push(d);let h=x3({inputs:{a:d,b:c},backend:a});p.push(h);let f=dp({inputs:{x:h},backend:a,attrs:{axis:s,keepDims:i}});return p.forEach(m=>a.disposeIntermediateTensorInfo(m)),f}var OL={kernelName:Fi,backendName:"cpu",kernelFunc:FL};function DL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;Ae(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=T.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Va({inputs:{x:r},backend:a,attrs:{perm:u}}),l=T.getInnerMostAxes(l.length,r.shape.length)),T.assertAxesAreInnerMostDims("min",l,p.shape.length);let[c,d]=T.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(d),f=v.makeZerosTypedArray(v.sizeFromShape(c),p.dtype),m=a.data.get(p.dataId).values;for(let y=0;yx[0]+r.shape[A]+x[1]),l=s.map(x=>x[0]),u=s.map((x,A)=>x[0]+r.shape[A]),p=i==="reflect"?0:1,c=a.data.get(r.dataId).values,d=r.shape.length,h=v.computeStrides(r.shape),f=v.sizeFromShape(o),m=o.length,g=v.computeStrides(o),y=v.getTypedArrayFromDType(r.dtype,f);for(let x=0;x=u[k]&&(A[k]=(u[k]-1)*2-A[k]+p);A=A.map((k,S)=>k-l[S]);let b=v.locToIndex(A,d,h);y[x]=c[b]}return{dataId:a.write(y,o,r.dtype),shape:o,dtype:r.dtype}}var BL={kernelName:zi,backendName:"cpu",kernelFunc:LL},WL=Lt((e,t)=>{let a=e%t;return e<0&&t<0||e>=0&&t>=0?a:(a+t)%t}),VL=Yt(Ll,WL),UL={kernelName:Ll,backendName:"cpu",kernelFunc:VL},GL=xl(Qy());function W7(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{dim:s}=n,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=B7({inputs:{x:r},backend:a,attrs:{reductionIndices:l,keepDims:!1}}),p=T.expandShapeToKeepDim(u.shape,l),c=mt({inputs:{x:u},backend:a,attrs:{shape:p}}),d=g3({inputs:{a:r,b:c},backend:a}),h=J4({inputs:{x:d},backend:a}),f=dp({inputs:{x:h},backend:a,attrs:{axis:l,keepDims:!1}}),m=mt({inputs:{x:f},backend:a,attrs:{shape:p}}),g=x3({inputs:{a:h,b:m},backend:a});return a.disposeIntermediateTensorInfo(u),a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),g}var HL={kernelName:oo,backendName:"cpu",kernelFunc:W7};function jL(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n;Ae(r,"multinomial");let l=o?r:W7({inputs:{logits:r},backend:a,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],c=a.data.get(l.dataId).values,d=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(d),"int32");for(let f=0;f=0&&c[d]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=Dc({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=gl({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeIntermediateTensorInfo(p)),u}var oB={kernelName:Ul,backendName:"cpu",kernelFunc:U7};function lB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;Ae(r,"pad");let o=s.map((y,x)=>y[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=a.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),c=r.shape.length,d=v.computeStrides(r.shape),h=v.sizeFromShape(o),f=o.length,m=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let y=0;yb+l[k]),A=v.locToIndex(x,f,m);g[A]=u[y]}return{dataId:a.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var G7={kernelName:Gi,backendName:"cpu",kernelFunc:lB},uB=Lt((e,t)=>Math.pow(e,t)),dB=Yt(Hi,uB),pB={kernelName:Hi,backendName:"cpu",kernelFunc:dB};function cB(e){let{inputs:t,backend:a,attrs:n}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=n,l=r.map(y=>a.data.get(y.dataId).values),u=r.map(y=>y.shape),p=a.data.get(s.dataId).values,c=a.data.get(i.dataId).values,[d,h,f]=m7(l,u,p,s.shape,s.dtype,c,i.shape,o),m=d.map(y=>a.makeTensorInfo([y.length],"int32",y)),g=a.makeTensorInfo(f,s.dtype,h);return m.concat([g])}var hB={kernelName:sh,backendName:"cpu",kernelFunc:cB};function fB(e){let{inputs:t,backend:a}=e,{starts:n,limits:r,deltas:s}=t,i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=g7(i,n.shape,n.dtype,o,r.shape,l,s.shape),c=a.makeTensorInfo([u.length],"int32",u),d=a.makeTensorInfo([p.length],n.dtype,p);return[c,d]}var mB={kernelName:ih,backendName:"cpu",kernelFunc:fB};function gB(e){let{inputs:t,backend:a,attrs:n}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=n,u=a.data.get(r.dataId).values,p=a.data.get(s.dataId).values,c=a.data.get(i.dataId).values,d=o.map(g=>a.data.get(g.dataId).values),h=o.map(g=>g.shape),[f,m]=y7(u,r.shape,p,s.shape,s.dtype,c,i.shape,d,h,l);return a.makeTensorInfo(f,s.dtype,m)}var yB={kernelName:oh,backendName:"cpu",kernelFunc:gB};function xB(e){let{backend:t,attrs:a}=e,{start:n,stop:r,dtype:s,step:i}=a,o=p3(n,r,i,s);return t.makeTensorInfo([o.length],s,o)}var AB={kernelName:Gl,backendName:"cpu",kernelFunc:xB},bB=ut(Xi,e=>1/e),vB={kernelName:Xi,backendName:"cpu",kernelFunc:bB};function kB(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n;Ae(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[c,d,h,f]=r.shape,m=a.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([c,u,p,f])),y=[s&&u>1?d-1:d,s&&p>1?h-1:h],x=[s&&u>1?u-1:u,s&&p>1?p-1:p],A=0,b=y[0]/x[0],k=y[1]/x[1];for(let S=0;S1?u-1:u,i&&h>1?p-1:p],g=[i&&d>1?d-1:d,i&&h>1?h-1:h],y=m[0]/g[0],x=m[1]/g[1],A=a.data.get(s.dataId).values,b=0;for(let k=0;k1?d-1:d,s&&p>1?h-1:h],x=[s&&u>1?u-1:u,s&&p>1?p-1:p],A=y[0]/x[0],b=y[1]/x[1],k=0;for(let S=0;S1?p-1:p,i&&f>1?c-1:c],x=[i&&h>1?h-1:h,i&&f>1?f-1:f],A=y[0]/x[0],b=y[1]/x[1],k=1/A,S=1/b,C=Math.ceil(k)*2+2,N=Math.ceil(S)*2+2;for(let $=0;$=h)continue;let X=M+Z*l[1],re=Z*A,ee=Math.min(p-1,i?Math.round(re):Math.floor(re));if(R===ee)for(let he=0;he=f)continue;let ye=X+ie*l[2],Se=ie*b,Ne=Math.min(c-1,i?Math.round(Se):Math.floor(Se));W===Ne&&(H+=g[ye+q])}}m[P+q]=H}}}}return a.makeTensorInfo(r.shape,r.dtype,m)}var EB={kernelName:H2,backendName:"cpu",kernelFunc:NB};function RB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n;Ae(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return er({inputs:{x:r},backend:a});let l=new jt(r.shape,r.dtype),u=a.bufferSync(r);for(let p=0;pd[h]=r.shape[h]-1-d[h]),l.set(u.get(...d),...c)}return a.makeTensorInfo(l.shape,l.dtype,l.values)}var MB={kernelName:Qi,backendName:"cpu",kernelFunc:RB},$B={kernelName:go,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=v.getTypedArrayFromDType(n.dtype,v.sizeFromShape(n.shape)),[u,p,c,d]=n.shape,[h,f]=T.getImageCenter(i,p,c),m=255,g=Math.sin(r),y=Math.cos(r),x=o.data.get(n.dataId).values;for(let A=0;A=0&&_=0&&D{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),PB={kernelName:eo,backendName:"cpu",kernelFunc:_B};function FB(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=T.calculateShapes(s,r,i),d=!0,h=a.bufferSync(r),f=a.bufferSync(s),m=el(h,f,i,c,u,l,o,p,0,d);return a.makeTensorInfo(i,m.dtype,m.values)}var OB={kernelName:ao,backendName:"cpu",kernelFunc:FB};function DB(e,t){let a=0,n=e.length,r=0;for(;a1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let f=0;fe>=0?HB*e:GB*(Math.exp(e)-1)),qB={kernelName:ql,backendName:"cpu",kernelFunc:jB},XB=ut(Zl,e=>e<0?-1:e>0?1:0),KB={kernelName:Zl,backendName:"cpu",kernelFunc:XB},ZB=ut(no,e=>Math.sin(e)),YB={kernelName:no,backendName:"cpu",kernelFunc:ZB},JB=ut(Kl,e=>Math.sinh(e)),QB={kernelName:Kl,backendName:"cpu",kernelFunc:JB},eW=11920928955078125e-23,oy=Math.log(eW)+2,tW=ut(Yl,e=>{let t=e>-oy,a=e0&&v.isString(a[0])){let r=a.map(s=>v.encodeString(s));n=this.write(r,e,t)}else n=this.write(a,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,a,n,r){this.data.set(e,{values:t,dtype:n,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:a}=this.data.get(e);if(t==="complex64"){let n=this.readSync(a.real.dataId),r=this.readSync(a.imag.dataId);return S.mergeRealAndImagArrays(n,r)}return v.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let a=t.map(n=>v.decodeString(n));return $e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return $e(e.shape,e.dtype,t)}makeOutput(e,t,a){return It().makeTensorFromTensorInfo(this.makeTensorInfo(t,a,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:a}=this.data.get(e);a!=null&&(this.disposeData(a.real.dataId,!0),this.disposeData(a.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){Ie([e],"where");let t=this.readSync(e.dataId);return sO(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Xh.nextDataId=0;var Kh={};Ze(Kh,{addImpl:()=>G7,bincountImpl:()=>J3,bincountReduceImpl:()=>H7,bitwiseAndImpl:()=>j7,castImpl:()=>U7,ceilImpl:()=>q7,concatImpl:()=>Q3,equalImpl:()=>X7,expImpl:()=>Y7,expm1Impl:()=>J7,floorDivImpl:()=>e6,floorImpl:()=>Q7,gatherNdImpl:()=>t6,gatherV2Impl:()=>a6,greaterEqualImpl:()=>r6,greaterImpl:()=>n6,lessEqualImpl:()=>i6,lessImpl:()=>s6,linSpaceImpl:()=>o6,logImpl:()=>l6,maxImpl:()=>u6,maximumImpl:()=>d6,minimumImpl:()=>p6,multiplyImpl:()=>eg,negImpl:()=>c6,notEqualImpl:()=>h6,prodImpl:()=>f6,raggedGatherImpl:()=>m6,raggedRangeImpl:()=>g6,raggedTensorToTensorImpl:()=>y6,rangeImpl:()=>ag,rsqrtImpl:()=>x6,scatterImpl:()=>Bs,sigmoidImpl:()=>nz,simpleAbsImpl:()=>V7,sliceImpl:()=>dh,sparseFillEmptyRowsImpl:()=>b6,sparseReshapeImpl:()=>v6,sparseSegmentReductionImpl:()=>ng,sqrtImpl:()=>iz,squaredDifferenceImpl:()=>w6,staticRegexReplaceImpl:()=>k6,stridedSliceImpl:()=>I6,stringNGramsImpl:()=>rg,stringSplitImpl:()=>sg,stringToHashBucketFastImpl:()=>ig,subImpl:()=>S6,tileImpl:()=>C6,topKImpl:()=>N6,transposeImpl:()=>tg,uniqueImpl:()=>lg});function V7(e){let t=new Float32Array(e.length);for(let a=0;a{let{x:t}=e.inputs,a=e.backend;Ie(t,"abs");let n=new Float32Array(v.sizeFromShape(t.shape)),r=a.data.get(t.dataId).values;return n=V7(r),a.makeOutput(n,t.shape,t.dtype)},oO={kernelName:Zl,backendName:"cpu",kernelFunc:iO};function $t(e){return(t,a,n,r,s)=>{let i=S.assertAndGetBroadcastShape(t,a),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),c=t.length,d=a.length,h=v.computeStrides(t),f=v.computeStrides(a),m=S.getBroadcastDims(t,i),g=S.getBroadcastDims(a,i);if(m.length+g.length===0)for(let y=0;yA[T]=0);let b=v.locToIndex(A,c,h),w=x.slice(-d);g.forEach(T=>w[T]=0);let C=v.locToIndex(w,d,f);p[y]=e(n[b],r[C])}return[p,i]}}function Ja(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,o=a.makeTensorInfo(n.shape,"complex64"),l=a.data.get(o.dataId);return l.complexTensorInfos={real:a.makeTensorInfo(n.shape,"float32",s),imag:a.makeTensorInfo(r.shape,"float32",i)},o}var lO={kernelName:tp,backendName:"cpu",kernelFunc:Ja};function uh(e,t,a="float32"){if(a==="complex64"){let r=uh(e,t,"float32"),s=uh(e,t,"float32");return Ja({inputs:{real:r,imag:s},backend:e})}let n=v.makeZerosTypedArray(v.sizeFromShape(t),a);return e.makeTensorInfo(t,a,n)}function ar(e){let{inputs:t,backend:a}=e,{x:n}=t;return a.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var uO={kernelName:zi,backendName:"cpu",kernelFunc:ar};function qs(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.data.get(n.dataId).complexTensorInfos.real,s=a.data.get(r.dataId).values;return a.makeTensorInfo(r.shape,r.dtype,s)}var dO={kernelName:cp,backendName:"cpu",kernelFunc:qs};function U7(e,t,a,n){if(n==="int32"){let r=Int32Array.from(e);return[t,"int32",r]}if(n==="bool"){let r=v.toTypedArray([0],a),[s,i]=$t((o,l)=>o!==l?1:0)(t,[],e,r,"bool");return[i,"bool",s]}throw new Error(`Error in Cast: failed to cast ${a} to ${n}`)}function ts(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return ar({inputs:{x:r},backend:a});let p=uh(a,r.shape,r.dtype),c=ts({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),d=Ja({inputs:{real:c,imag:p},backend:a});return a.disposeIntermediateTensorInfo(p),a.disposeIntermediateTensorInfo(c),d}if(r.dtype==="complex64"){let p=qs({inputs:{input:r},backend:a}),c=ts({inputs:{x:p},backend:a,attrs:{dtype:s}});return a.disposeIntermediateTensorInfo(p),c}if(!v.hasEncodingLoss(r.dtype,s)){let p=ar({inputs:{x:r},backend:a});return{dataId:p.dataId,shape:p.shape,dtype:s}}let i=a.data.get(r.dataId).values,[o,l,u]=U7(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}var pO={kernelName:ci,backendName:"cpu",kernelFunc:ts};function Xt(e,t,a,n){return a==null?({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;Ie([i,o],e);let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,c=i.dtype==="string"?S.fromUint8ToStringArray(u):u,d=i.dtype==="string"?S.fromUint8ToStringArray(p):p,h=n||i.dtype,[f,m]=t(i.shape,o.shape,c,d,h);return l.makeTensorInfo(m,h,f)}:({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(i.dtype==="complex64"||o.dtype==="complex64"){let u=ts({inputs:{x:i},backend:l,attrs:{dtype:"complex64"}}),p=l.data.get(u.dataId),c=p.complexTensorInfos.real,d=p.complexTensorInfos.imag,h=l.data.get(c.dataId).values,f=l.data.get(d.dataId).values,m=ts({inputs:{x:o},backend:l,attrs:{dtype:"complex64"}}),g=l.data.get(m.dataId),y=g.complexTensorInfos.real,x=g.complexTensorInfos.imag,A=l.data.get(y.dataId).values,b=l.data.get(x.dataId).values,[w,C,T]=a(i.shape,o.shape,h,f,A,b),N=l.makeTensorInfo(T,"float32",w),M=l.makeTensorInfo(T,"float32",C),F=Ja({inputs:{real:N,imag:M},backend:l});return l.disposeIntermediateTensorInfo(u),l.disposeIntermediateTensorInfo(m),l.disposeIntermediateTensorInfo(N),l.disposeIntermediateTensorInfo(M),F}else{let u=l.data.get(i.dataId).values,p=l.data.get(o.dataId).values,c=n||i.dtype,[d,h]=t(i.shape,o.shape,u,p,c);return l.makeTensorInfo(h,c,d)}}}function Z3(e){return(t,a,n,r,s,i)=>{let o=S.assertAndGetBroadcastShape(t,a),l=v.sizeFromShape(o),u=o.length,p=v.computeStrides(o),c=v.getTypedArrayFromDType("float32",l),d=v.getTypedArrayFromDType("float32",l),h=S.getBroadcastDims(t,o),f=S.getBroadcastDims(a,o),m=S.mergeRealAndImagArrays(n,r),g=S.mergeRealAndImagArrays(s,i),y=t.length,x=v.computeStrides(t),A=a.length,b=v.computeStrides(a);if(h.length+f.length===0)for(let w=0;wT[I]=0);let N=v.locToIndex(T,y,x),M=C.slice(-A);f.forEach(I=>M[I]=0);let F=v.locToIndex(M,A,b),E=e(m[N*2],m[N*2+1],g[F*2],g[F*2+1]);c[w]=E.real,d[w]=E.imag}return[c,d,o]}}var G7=$t((e,t)=>e+t),cO=Z3((e,t,a,n)=>({real:e+a,imag:t+n})),Gl=Xt(ns,G7,cO),hO={kernelName:ns,backendName:"cpu",kernelFunc:Gl};function J3(e,t,a,n,r){let s=v.sizeFromShape(n),i=v.makeZerosTypedArray(r,a);for(let o=0;o=r||(s>0?i[l]+=t[o]:i[l]+=1)}return i}function H7(e,t,a,n=!1){let r=e.shape[0],s=e.shape[1],i=$e([r,a],t.dtype);for(let o=0;o=a||(n?i.set(1,o,u):t.size>0?i.set(i.get(o,u)+t.get(o,l),o,u):i.set(i.get(o,u)+1,o,u))}return i}var j7=$t((e,t)=>e&t),fO=Xt(Ih,j7),mO={kernelName:Ih,backendName:"cpu",kernelFunc:fO};function or(e){return(t,a,n)=>{let r=v.getArrayFromDType(a,t.length);for(let s=0;s{let{x:i}=n;Ie(i,e);let o=s,l=o.data.get(i.dataId).values,u;if(i.dtype==="string"){if(!Array.isArray(l))throw new Error("String tensor's value was not an instance of Array");u=S.fromUint8ToStringArray(l)}else u=l;let p=a||i.dtype,c=t(u,p,r);return o.makeTensorInfo(i.shape,p,c)}}var q7=or(e=>Math.ceil(e)),gO=us(hi,q7),yO={kernelName:hi,backendName:"cpu",kernelFunc:gO};function Q3(e,t,a,n){let r=v.getArrayFromDType(a,v.sizeFromShape(t));if(n&&a!=="string"){let s=0;e.forEach(i=>{let o=v.sizeFromShape(i.shape);r.set(i.vals,s),s+=o})}else{let s=0;e.forEach(i=>{let o=a==="string"?S.fromUint8ToStringArray(i.vals):i.vals,l=0;for(let u=0;ue===t?1:0),K7=Xt(Ni,X7,null,"bool"),xO={kernelName:Ni,backendName:"cpu",kernelFunc:K7},Y7=or(e=>Math.exp(e)),Z7=us(Ri,Y7,"float32"),AO={kernelName:Ri,backendName:"cpu",kernelFunc:Z7},J7=or(e=>Math.expm1(e)),bO=us(Ei,J7),vO={kernelName:Ei,backendName:"cpu",kernelFunc:bO},Q7=or(e=>Math.floor(e)),wO=us(Fi,Q7),kO={kernelName:Fi,backendName:"cpu",kernelFunc:wO},e6=$t((e,t)=>Math.floor(e/t)),IO=Xt(_i,e6,null,"int32"),SO={kernelName:_i,backendName:"cpu",kernelFunc:IO};function t6(e,t,a,n,r,s,i,o,l){let u=$e([n,s],a);for(let p=0;p=l/s)throw new Error(`Invalid indices: ${c} does not index into ${o}`);for(let h=0;he>t?1:0),CO=Xt(Pi,n6,null,"bool"),TO={kernelName:Pi,backendName:"cpu",kernelFunc:CO},r6=$t((e,t)=>e>=t?1:0),NO=Xt(Oi,r6,null,"bool"),RO={kernelName:Oi,backendName:"cpu",kernelFunc:NO},s6=$t((e,t)=>ee<=t?1:0),FO=Xt(Gi,i6,null,"bool"),_O={kernelName:Gi,backendName:"cpu",kernelFunc:FO};function o6(e,t,a){let n=(t-e)/(a-1),r=v.makeZerosTypedArray(a,"float32");r[0]=e;for(let s=1;sMath.log(e)),$O=us(ji,l6),DO={kernelName:ji,backendName:"cpu",kernelFunc:$O};function u6(e,t,a,n){let r=v.getTypedArrayFromDType(n,v.sizeFromShape(a));for(let s=0;so)&&(o=u)}r[s]=o}return r}var d6=$t((e,t)=>Math.max(e,t)),PO=Xt(Qi,d6),OO={kernelName:Qi,backendName:"cpu",kernelFunc:PO},p6=$t((e,t)=>Math.min(e,t)),zO=Xt(no,p6),LO={kernelName:no,backendName:"cpu",kernelFunc:zO},eg=$t((e,t)=>e*t),WO=Z3((e,t,a,n)=>({real:e*a-t*n,imag:e*n+t*a})),Yh=Xt(io,eg,WO),BO={kernelName:io,backendName:"cpu",kernelFunc:Yh};function c6(e,t,a){let n=v.createScalarValue(-1,a);return eg([],t,n,e,a)}function VO(e){let{inputs:t,backend:a}=e,{x:n}=t;Ie(n,"neg");let r=a.data.get(n.dataId).values,[s,i]=c6(r,n.shape,n.dtype);return a.makeTensorInfo(i,n.dtype,s)}var UO={kernelName:mu,backendName:"cpu",kernelFunc:VO},h6=$t((e,t)=>e!==t?1:0),GO=Xt(oo,h6,null,"bool"),HO={kernelName:oo,backendName:"cpu",kernelFunc:GO};function tg(e,t,a,n,r){let s=t.length,i=v.sizeFromShape(t),o=v.computeStrides(t),l=v.computeStrides(r),u=v.getTypedArrayFromDType(a,v.sizeFromShape(r));for(let p=0;pa.disposeIntermediateTensorInfo(x)),a.makeTensorInfo(y,g,f)}var XO={kernelName:mo,backendName:"cpu",kernelFunc:qO};function KO(e,t,a){e.forEach((n,r)=>{if(n<0||n>=a){let s=v.indexToLoc(r,t.length,v.computeStrides(t)).join(",");throw new Error(`indices[${s}] = ${n} is not in [0, ${a})`)}})}function YO(e,t){for(let a=0;ar)throw new Error("Ragged splits must not point past values");for(let s=1;sn[s])throw new Error("Ragged splits must be sorted in ascending order")}}function ZO(e,t,a,n){let r=[],s=0,i=t.length-1+a.length,o=new Array(i).fill(null).map(()=>[0]);YO(a,n);let l=1;for(let u=0;u=0){let m=o[f],g=m[m.length-1]-h[p];for(let y=p;yr[i]=s)}return t}function Z5(e,t){let a=e.slice(0,t);for(;a.length1)throw new Error("starts must be a scalar or vector");if(r.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");let o=t.length===0,l=r.length===0,u=i.length===0,p=[];o||p.push(t[0]),l||p.push(r[0]),u||p.push(i[0]);for(let g=1;g0&&xy)b=0;else if(b=Math.ceil(Math.abs((x-y)/A)),b>J5)throw new Error(`Requires ((limit - start) / delta) <= ${J5}`);d[g+1]=d[g]+b}let h=d[c],f=v.getArrayFromDType(a,h),m=0;for(let g=0;ga&&(a=r)}return a}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let a=0,n=e[0],r=0;for(let s=1;s"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(e,t,a,n){let r=e.length,s=[];for(let i=0;i0&&s.length!==e[r-1])throw new Error("Invalid row split size.");return s}calculateOutputIndexValueRowID(e,t,a,n){let r=e.length,s=[];if(r===0)return[];let i=0,o=e[0];if(o>=t.length)throw new Error(`Got currentValueRowId=${o}, which is not less than ${t.length}`);let l=t[o];s.push(l);for(let u=1;u=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${p} which is not less than ${t.length}`);l=t[p]}s.push(l)}if(s.length!==e.length)throw new Error("Invalid row ids.");return s}calculateOutputIndex(e,t,a,n){let r=this.getRowPartitionTensor(e),s=this.getRowPartitionTypeByDimension(e);switch(s){case kn.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,t,a,n);case kn.ROW_SPLITS:if(r.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(r,t,a,n);default:throw new Error(`Unsupported partition type: ${kn[s]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case kn.FIRST_DIM_SIZE:return e[0];case kn.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case kn.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${kn[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),a=new Array(this.raggedRank+1);a[a.length-1]=1;for(let s=a.length-2;s>=0;--s)a[s]=a[s+1]*t[s+1];let n=ex(t,!1),r=v.getArrayFromDType(this.valuesDType,v.sizeFromShape(n));if(a[0]*t[0]>0){let s=this.calculateFirstParentOutputIndex(e,a[0],t[0]);for(let i=1;i<=this.raggedRank;++i)s=this.calculateOutputIndex(i-1,s,a[i],t[i]);this.setOutput(this.raggedRank,s,r,n)}return[n,r]}setOutput(e,t,a,n){if(a.length===0)return;let r=this.values,s=a,i=n.slice();i=i.slice(e+1);let o=v.sizeFromShape(i),l=t.length,u=this.defaultValue;if(u.length!==o&&u.length!==1){let h=this.defaultValueShape;Pe(()=>{let f=Q(u,h);u=Fl(f,i).dataSync()})}let p=0,c=0,d=0;for(let h=0;h<=l;++h){let f=h=l){let m=a.length;f=Math.floor(m/o)}if(f>d)if(this.defaultValue.length===1)s.subarray(d*o,f*o).fill(this.defaultValue[0]),d=f;else for(;f>d;){let m=s.slice(d*o);Q5(m,u,o),++d}f<0?(p=h+1,c=d):(p=h,c=d,d=c+1)}}};function Q5(e,t,a){for(let n=0;n= 0`);if(n<-1)throw new Error(`Dimension ${n} must be >= -1`);n=-1}a.push(n)}return a}function y6(e,t,a,n,r,s,i,o,l,u){return new x1(e,t,a,n,r,s,i,o,l,u).compute()}function ag(e,t,a,n){let r=e===t,s=e1;if(r||s||i)return v.makeZerosTypedArray(0,n);let o=Math.abs(Math.ceil((t-e)/a)),l=v.makeZerosTypedArray(o,n);t1/Math.sqrt(e)),tz=us(ko,x6),az={kernelName:ko,backendName:"cpu",kernelFunc:tz};function Bs(e,t,a,n,r,s,i,o,l,u){let p=[n/r,r],c=e.values,d=t.values;if(n===0)return $e(a,t.dtype);let h=l instanceof Wt?l:$e(p,t.dtype);typeof l=="string"||typeof l=="number"?h.values.fill(l):typeof l=="boolean"&&h.values.fill(+l);for(let f=0;f=n/r)throw new Error(`Invalid indices: ${m} does not index into ${a}`);for(let y=0;y1/(1+Math.exp(-e))),A6=ct(Eo,e=>1/(1+Math.exp(-e))),rz={kernelName:Eo,backendName:"cpu",kernelFunc:A6};function dh(e,t,a,n,r){let s=Nt.isSliceContinous(n,t,a),i=v.sizeFromShape(a),o=v.computeStrides(n);if(s){let c=Nt.computeFlatOffset(t,o);return r==="string"?e.slice(c,c+i):e.subarray(c,c+i)}let l=r==="string"?S.fromUint8ToStringArray(e):e,u=$e(n,r,l),p=$e(a,r);for(let c=0;cf+t[m]);p.set(u.get(...h),...d)}return r==="string"?S.fromStringArrayToUint8(p.values):p.values}function Xs(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n;Ie(r,"slice");let[o,l]=Nt.parseSliceParams(r,s,i);Nt.assertParamsValid(r,o,l);let u=a.data.get(r.dataId).values,p=dh(u,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,p)}var sz={kernelName:Iu,backendName:"cpu",kernelFunc:Xs};function b6(e,t,a,n,r,s,i){let o=t[0],l=s[0],u=new Array(l),p=new Array(o),c=t[1];if(l===0){if(o!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(o));let g=v.getArrayFromDType(a,0),y=v.getArrayFromDType(r,0);return[g,[0,c],y,u,p]}let d=!0,h=0,f=new Array(l).fill(0);for(let g=0;g=l)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,y,l));++f[y],d=d&&y>=h,h=y}let m=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(m&&d){let g=e,y=n;for(let x=0;x0){d[c-1]=1;for(let m=c-2;m>=0;--m)d[m]=d[m+1]*n[m+1]}let h=[];if(o>0){h[o-1]=1;for(let m=o-2;m>=0;--m)h[m]=h[m+1]*l[m+1]}let f=v.getArrayFromDType(a,i*o);for(let m=0;m0?r[o-1]+1:0;if(p<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let c=t.slice();c[0]=p;let d=c.reduce((x,A)=>x*A,1),h=v.getArrayFromDType(a,d);if(o===0)return p>0&&h.fill(i),[h,c];if(p<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let f=0,m=1,g=0,y=r[f];for(;;){let x=0;if(m=x)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(y<0||y>=p)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y,p));y>g&&h.fill(i,g*u,y*u);for(let A=f;A=l[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(A,n[A],l[0]));for(let w=0;wo)break}return gMath.sqrt(e)),oz=ct(Fo,e=>Math.sqrt(e)),lz={kernelName:Fo,backendName:"cpu",kernelFunc:oz},w6=$t((e,t)=>{let a=e-t;return a*a}),uz=Xt(Po,w6),dz={kernelName:Po,backendName:"cpu",kernelFunc:uz},k6=or((e,t)=>{let{pattern:a,replaceGlobal:n,rewrite:r}=t;return e.replace(new RegExp(a,n?"g":""),r)}),pz=us(yp,k6),cz={kernelName:yp,backendName:"cpu",kernelFunc:pz};function I6(e,t,a,n){let r=$e(e,t.dtype);for(let s=0;s0?0:i-o),d=0;d+=l*this.leftPad.length;for(let y=0;yy.forEach(x=>f[m++]=x);for(let y=0;y0){g(e[c+p-1]);for(let y=0;y0){let o=t[0];if(o!==0)throw new Error(`First split value must be 0, got ${o}`);for(let l=1;l=o;if(u=u&&t[l]<=a,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${o}, ${a}]`);o=t[l]}if(o!==a)throw new Error(`Last split value must be data size. Expected ${a}, got ${o}`)}let r=n-1,s=v.getArrayFromDType("int32",n);if(a===0||n===0){let o=new Array(a);for(let l=0;l<=r;++l)s[l]=0;return[o,s]}s[0]=0;for(let o=1;o<=r;++o){let l=t[o]-t[o-1],u=0;this.nGramWidths.forEach(p=>{u+=this.getNumNGrams(l,p)}),this.preserveShort&&l>0&&u===0&&(u=1),s[o]=s[o-1]+u}let i=new Array(s[r]);for(let o=0;o{let c=t[o+1]-t[o],d=this.getNumNGrams(c,p);this.createNGrams(e,l,i,u,d,p),u+=d}),this.preserveShort&&u===s[o]){let p=t[o+1]-t[o];if(p===0)continue;let c=p+2*this.padWidth,d=1;this.createNGrams(e,l,i,u,d,c)}}return[i,s]}};function rg(e,t,a,n,r,s,i,o){return new hz(a,n,r,s,i,o).compute(e,t)}function fz(e,t,a,n){if(!e.length)return;if(t.length===0){for(let s=0;se-t),mz=Z3((e,t,a,n)=>({real:e-a,imag:t-n})),og=Xt(zo,S6,mz),gz={kernelName:zo,backendName:"cpu",kernelFunc:og};function C6(e,t){let a=new Array(e.rank);for(let r=0;r{let a=t.value-e.value;return a===0?e.index-t.index:a};function T6(e,t,a=0,n=e.length-1){for(;n>a;){if(n-a>600){let o=n-a+1,l=t-a+1,u=Math.log(o),p=.5*Math.exp(2*u/3),c=.5*Math.sqrt(u*p*(o-p)/o)*Math.sign(l-o/2),d=Math.max(a,Math.floor(t-l*p/o+c)),h=Math.min(n,Math.floor(t+(o-l)*p/o+c));T6(e,t,d,h)}let r=e[t],s=a,i=n;for(v.swap(e,a,t),yd(e[n],r)>0&&v.swap(e,a,n);s0;)i=i-1}yd(e[a],r)===0?v.swap(e,a,i):(i=i+1,v.swap(e,i,n)),i<=t&&(a=i+1),t<=i&&(n=i-1)}}function N6(e,t,a,n,r){let s=t[t.length-1],[i,o]=[e.length/s,s],l=v.getTypedArrayFromDType(a,i*n),u=v.getTypedArrayFromDType("int32",i*n);for(let c=0;cf[A]={value:x,index:A}),n{for(let g=0;gnew Xh,1);var R6=ct(Ti,e=>e>=0?e:Math.exp(e)-1),xz={kernelName:Ti,backendName:"cpu",kernelFunc:R6};function E6(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n;Ie([r],"leakyRelu");let i=v.sizeFromShape(r.shape),o=a.data.get(r.dataId).values,l=v.getTypedArrayFromDType("float32",i);for(let u=0;ue<0?t*e:e);function M6(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t;Ie([n,r],"prelu");let s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,[o,l]=bz(n.shape,r.shape,s,i,"float32");return a.makeTensorInfo(l,"float32",o)}var vz={kernelName:fo,backendName:"cpu",kernelFunc:M6},F6=ct(yo,e=>Math.max(0,e)),wz={kernelName:yo,backendName:"cpu",kernelFunc:F6},_6=ct(bo,e=>Math.min(Math.max(0,e),6)),kz={kernelName:bo,backendName:"cpu",kernelFunc:_6};function ph(e,t,a,n,r){if(a==="linear")return ar({inputs:{x:t},backend:e});if(a==="relu")return F6({inputs:{x:t},backend:e});if(a==="elu")return R6({inputs:{x:t},backend:e});if(a==="relu6")return _6({inputs:{x:t},backend:e});if(a==="prelu")return M6({inputs:{x:t,alpha:n},backend:e});if(a==="leakyrelu")return E6({inputs:{x:t},backend:e,attrs:{alpha:r}});if(a==="sigmoid")return A6({inputs:{x:t},backend:e});throw new Error(`Activation ${a} has not been implemented for the CPU backend.`)}function At(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{shape:s}=n,i=v.sizeFromShape(r.shape),o=v.inferFromImplicitShape(s,i),l=v.sizeFromShape(o);v.assert(i===l,()=>`The new shape (${o}) has ${l} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),a.incRef(r.dataId);let u=a.data.get(r.dataId);if(u.complexTensorInfos!=null){let p=u.complexTensorInfos.real,c=u.complexTensorInfos.imag;p.shape=o,c.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var Iz={kernelName:bu,backendName:"cpu",kernelFunc:At};function $6(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;Ie([r,s],"matMul");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],c=o?s.shape[u-1]:s.shape[u-2],d=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],f=r.shape.slice(0,-2),m=s.shape.slice(0,-2),g=v.sizeFromShape(f),y=v.sizeFromShape(m),x=Ho.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([d,h]);v.assert(p===c,()=>`Error in matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let A=i?[g,p,d]:[g,d,p],b=o?[y,h,c]:[y,c,h],w=At({inputs:{x:r},backend:a,attrs:{shape:A}}),C=At({inputs:{x:s},backend:a,attrs:{shape:b}}),T=i?w.shape[1]:w.shape[2],N=i?w.shape[2]:w.shape[1],M=o?C.shape[1]:C.shape[2],F=Math.max(g,y),E=a.data.get(w.dataId).values,I=a.data.get(C.dataId).values,_=v.computeStrides(w.shape),O=v.computeStrides(C.shape),[B,$,U]=i?[_[0],1,_[1]]:[_[0],_[1],1],[G,q,H]=o?[1,O[1],O[0]]:[O[1],1,O[0]],V=N*M,Z=$e([F,N,M],w.dtype),X=Z.values,re=a.blockSize;for(let ee=0;eeMath.acos(e)),Rz={kernelName:Qs,backendName:"cpu",kernelFunc:Nz},Ez=ct(ei,e=>Math.acosh(e)),Mz={kernelName:ei,backendName:"cpu",kernelFunc:Ez};function Fz(e){let{inputs:t,backend:a}=e,n=t;Ie(t,"addN");let r=n.map(o=>a.data.get(o.dataId).values),s=$e(n[0].shape,n[0].dtype),i=s.values;for(let o=0;ox&&(x=w,A=b)}h[g]=A}return u.forEach(g=>a.disposeIntermediateTensorInfo(g)),a.makeTensorInfo(p,"int32",h)}var Lz={kernelName:Jl,backendName:"cpu",kernelFunc:zz};function Wz(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n;Ie(r,"argMin");let i=v.parseAxisParam(s,r.shape),o=S.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Ua({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=S.getInnerMostAxes(i.length,l.shape.length)),i=[i[0]],S.assertAxesAreInnerMostDims("argMin",i,l.shape.length);let[p,c]=S.computeOutAndReduceShapes(l.shape,i),d=v.sizeFromShape(p),h=v.makeZerosTypedArray(d,"int32"),f=v.sizeFromShape(c),m=a.data.get(l.dataId).values;for(let g=0;ga.disposeIntermediateTensorInfo(g)),a.makeTensorInfo(p,"int32",h)}var Bz={kernelName:Ql,backendName:"cpu",kernelFunc:Wz},Vz=ct(ri,e=>Math.asin(e)),Uz={kernelName:ri,backendName:"cpu",kernelFunc:Vz},Gz=ct(si,e=>Math.asinh(e)),Hz={kernelName:si,backendName:"cpu",kernelFunc:Gz},jz=ct(ii,e=>Math.atan(e)),qz={kernelName:ii,backendName:"cpu",kernelFunc:jz},Xz=$t((e,t)=>Math.atan2(e,t)),Kz=Xt(li,Xz),Yz={kernelName:li,backendName:"cpu",kernelFunc:Kz},Zz=ct(oi,e=>Math.atanh(e)),Jz={kernelName:oi,backendName:"cpu",kernelFunc:Zz};function ug(e,t,a,n,r,s){let i=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,p=r.effectiveFilterHeight,c=r.effectiveFilterWidth,d=r.padInfo.top,h=r.padInfo.left,f=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=$e(r.outShape,a),g=m.values,y=r.outShape[1]*r.outShape[2]*r.outShape[3],x=r.outShape[2]*r.outShape[3],A=r.outShape[3];for(let b=0;bU?U=ee:s==="avg"&&(G+=ee,q++)}if(isNaN(U))break}let H=I+_*A+T;g[H]=s==="avg"?G/q:U}}}return m}function D6(e,t,a,n,r=!1,s=!1){let i=$e(n.outShape,"int32"),o=n.strideHeight,l=n.strideWidth,u=n.dilationHeight,p=n.dilationWidth,c=n.effectiveFilterHeight,d=n.effectiveFilterWidth,h=n.padInfo.top,f=n.padInfo.left,m=$e(t,a,e);for(let g=0;gF&&(F=$,r?E=s?((g*n.inHeight+I)*n.inWidth+O)*n.inChannels+y:(I*n.inWidth+O)*n.inChannels+y:E=_*d+B)}}i.set(E,g,x,C,y)}}return i}function P6(e,t,a,n,r,s){let i=r.strideDepth,o=r.strideHeight,l=r.strideWidth,u=r.dilationDepth,p=r.dilationHeight,c=r.dilationWidth,d=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,m=r.padInfo.front,g=r.padInfo.top,y=r.padInfo.left,x=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,A=$e(r.outShape,a),b=A.values,w=r.outShape[1]*r.outShape[2]*r.outShape[3]*r.outShape[4],C=r.outShape[2]*r.outShape[3]*r.outShape[4],T=r.outShape[3]*r.outShape[4],N=r.outShape[4];for(let M=0;MAe?Ae=yt:s==="avg"&&(Ce+=yt,Re++),isNaN(Ae))break}if(isNaN(Ae))break}if(isNaN(Ae))break}let Le=ie+I;b[Le]=s==="avg"?Ce/Math.max(Re,1):Ae}}}}return A}function Qz(e,t){let a=$e(t.outShape,"int32"),n=t.strideDepth,r=t.strideHeight,s=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,l=t.dilationWidth,u=t.effectiveFilterDepth,p=t.effectiveFilterHeight,c=t.effectiveFilterWidth,d=t.padInfo.front,h=t.padInfo.top,f=t.padInfo.left;for(let m=0;m=_&&(_=V,O=$*p*c+G*p+H)}}}a.set(O,m,y,w,M,g)}}}return a}function eL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;Ie(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1;v.assert(S.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=S.computePool2DInfo(r.shape,s,i,u,o,l),c;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))c=ar({inputs:{x:r},backend:a});else{let d=a.data.get(r.dataId).values,h=v.computeStrides(r.shape),f=ug(d,r.shape,r.dtype,h,p,"avg");c=a.makeTensorInfo(p.outShape,r.dtype,f.values)}return c}var tL={kernelName:ui,backendName:"cpu",kernelFunc:eL};function aL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n;Ie(r,"avgPool3d");let p=S.computePool3DInfo(r.shape,s,i,1,o,l,u),c=a.data.get(r.dataId).values,d=P6(c,r.shape,r.dtype,v.computeStrides(r.shape),p,"avg");return a.makeTensorInfo(d.shape,"float32",d.values)}var nL={kernelName:eu,backendName:"cpu",kernelFunc:aL};function rL(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n;Ie([r,s],"avgPool3DGrad");let p=S.computePool3DInfo(s.shape,i,o,1,l,u),c=p.strideDepth,d=p.strideHeight,h=p.strideWidth,f=p.filterDepth,m=p.filterHeight,g=p.filterWidth,y=p.dilationDepth,x=p.dilationHeight,A=p.dilationWidth,b=p.effectiveFilterDepth,w=p.effectiveFilterHeight,C=p.effectiveFilterWidth,T=b-1-p.padInfo.front,N=C-1-p.padInfo.left,M=w-1-p.padInfo.top,F=$e(s.shape,"float32"),E=1/(f*m*g),I=a.bufferSync(r);for(let _=0;_=p.outDepth||Math.floor(X)!==X))for(let re=0;re=p.outHeight||Math.floor(ee)!==ee))for(let me=0;me=p.outWidth||Math.floor(ie)!==ie)continue;let Ae=I.get(_,X,ee,ie,O);V+=Ae}}}F.set(V*E,_,B,$,U,O)}return a.makeTensorInfo(F.shape,F.dtype,F.values)}var sL={kernelName:ep,backendName:"cpu",kernelFunc:rL};function iL(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;Ie([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=S.computePool2DInfo(i.shape,o,l,1,u),c=p.strideHeight,d=p.strideWidth,h=p.filterHeight,f=p.filterWidth,m=p.dilationHeight,g=p.dilationWidth,y=p.effectiveFilterHeight,x=p.effectiveFilterWidth,A=x-1-p.padInfo.left,b=y-1-p.padInfo.top,w=$e(i.shape,"float32"),C=1/(h*f),T=a.data.get(r.dataId).values,N=$e(r.shape,"float32",T);for(let M=0;M=p.outHeight||Math.floor(U)!==U))for(let G=0;G=p.outWidth||Math.floor(q)!==q)continue;let H=N.get(M,U,q,F);B+=H}}w.set(B*C,M,E,I,F)}return a.makeTensorInfo(w.shape,w.dtype,w.values)}var oL={kernelName:kh,backendName:"cpu",kernelFunc:iL};function lL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,scale:s,offset:i,mean:o,variance:l}=t;v.assert(o.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(s==null||o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),Ie([r,o,l,s,i],"batchNorm");let{varianceEpsilon:u}=n;u==null&&(u=.001);let p=a.data.get(r.dataId).values,c=a.data.get(o.dataId).values,d=a.data.get(l.dataId).values,h=s?a.data.get(s.dataId).values:new Float32Array([1]),f=i?a.data.get(i.dataId).values:new Float32Array([0]),m=new Float32Array(p.length),g=f.length,y=h.length,x=d.length,A=c.length,b=0,w=0,C=0,T=0;for(let N=0;N=g&&(b=0),w>=A&&(w=0),C>=y&&(C=0),T>=x&&(T=0);return a.makeTensorInfo(r.shape,r.dtype,m)}var uL={kernelName:$i,backendName:"cpu",kernelFunc:lL};function dL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;Ie([r],"batchToSpaceND");let o=s.reduce((y,x)=>y*x),l=S.getReshaped(r.shape,s,o),u=S.getPermuted(l.length,s.length),p=S.getReshapedPermuted(r.shape,s,o),c=S.getSliceBeginCoords(i,s.length),d=S.getSliceSize(p,i,s.length),h=At({inputs:{x:r},backend:a,attrs:{shape:l}}),f=Ua({inputs:{x:h},backend:a,attrs:{perm:u}}),m=At({inputs:{x:f},backend:a,attrs:{shape:p}}),g=Xs({inputs:{x:m},backend:a,attrs:{begin:c,size:d}});return a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),g}var pL={kernelName:tu,backendName:"cpu",kernelFunc:dL};function cL(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,u=J3(o,l,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,u)}var hL={kernelName:pi,backendName:"cpu",kernelFunc:cL};function fL(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t,s=a.data.get(n.dataId).values,i=a.data.get(r.dataId).values,o=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return a.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var mL={kernelName:au,backendName:"cpu",kernelFunc:fL},gL=ct(rs,(e,t)=>{let a=t;return e>a.clipValueMax?a.clipValueMax:e{let{x:t}=e.inputs,a=e.backend,n=new Float32Array(v.sizeFromShape(t.shape)),r=a.data.get(t.dataId),s=r.complexTensorInfos.real,i=r.complexTensorInfos.imag,o=a.data.get(s.dataId).values,l=a.data.get(i.dataId).values;for(let u=0;um.shape);S.assertParamsConsistent(i,s);let o=S.computeOutShape(t.map(m=>m.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(m=>v.sizeFromShape(m.shape)>0);if(l.length===1)return ar({inputs:{x:l[0]},backend:a});if(l[0].dtype==="complex64"){let m=l.map(b=>qs({inputs:{input:b},backend:a})),g=l.map(b=>Hl({inputs:{input:b},backend:a})),y=jl({inputs:m,backend:a,attrs:{axis:s}}),x=jl({inputs:g,backend:a,attrs:{axis:s}}),A=Ja({inputs:{real:y,imag:x},backend:a});return m.forEach(b=>a.disposeIntermediateTensorInfo(b)),g.forEach(b=>a.disposeIntermediateTensorInfo(b)),a.disposeIntermediateTensorInfo(y),a.disposeIntermediateTensorInfo(x),A}let u=l.map(m=>{let g=[-1,v.sizeFromShape(m.shape.slice(s))];return At({inputs:{x:m},backend:a,attrs:{shape:g}})}),p=u.map(m=>({vals:a.data.get(m.dataId).values,shape:m.shape}));o=S.computeOutShape(u.map(m=>m.shape),1);let c=u[0].shape[0]===1,d=Q3(p,o,t[0].dtype,c),h=S.computeOutShape(l.map(m=>m.shape),s),f=a.makeTensorInfo(h,t[0].dtype,d);return u.forEach(m=>a.disposeIntermediateTensorInfo(m)),f}var vL={kernelName:nu,backendName:"cpu",kernelFunc:jl};function O6(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n;Ie([r,s],"conv2d");let c=S.convertConv2DDataFormat(l),d=S.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c),h=d.filterHeight,f=d.filterWidth,m=d.dilationHeight,g=d.dilationWidth,y=d.padInfo.left,x=d.padInfo.top,A=d.dataFormat==="channelsLast",b=new Wt(d.outShape,r.dtype),w=v.computeStrides(r.shape),C=v.computeStrides(s.shape),T=w[0],N=A?w[1]:w[2],M=A?w[2]:1,F=A?1:w[1],E=b.strides[0],I=A?b.strides[1]:b.strides[2],_=A?b.strides[2]:1,O=A?1:b.strides[1],B=a.data.get(r.dataId).values,$=a.data.get(s.dataId).values,U=b.values;for(let G=0;G=d.inHeight)continue;let me=re*C[0],ie=q+ee*N;for(let Ae=0;Ae=d.inWidth)continue;let mt=me+Le*C[1],dt=ie+qe*M,st=mt;for(let it=0;it=u.inDepth)continue;let G=$*M[0],q=E+U*N[1];for(let H=0;H=u.inHeight)continue;let ee=G+X*M[1],me=q+re*N[2];for(let ie=0;ie=u.inWidth)continue;let qe=ee+Re*M[2],mt=me+Le*u.inChannels,dt=qe;for(let st=0;stMath.cos(e)),$L={kernelName:xi,backendName:"cpu",kernelFunc:_L},DL=ct(Ai,e=>Math.cosh(e)),PL={kernelName:Ai,backendName:"cpu",kernelFunc:DL};function OL(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,[p,c,d,h]=r.shape,f=s.shape[0],[m,g]=o,y=$e([f,m,g,h],"float32"),x=a.data.get(s.dataId).values,A=a.data.get(i.dataId).values,b=a.data.get(r.dataId).values,w=v.computeStrides(r.shape),C=v.computeStrides(y.shape);for(let T=0;T=p)continue;let O=m>1?(E-M)*(c-1)/(m-1):0,B=g>1?(I-F)*(d-1)/(g-1):0;for(let $=0;$1?M*(c-1)+$*O:.5*(M+E)*(c-1);if(U<0||U>c-1){for(let G=0;G1?F*(d-1)+V*B:.5*(F+I)*(d-1);if(Z<0||Z>d-1){for(let me=0;me1?F*(d-1)+G*B:.5*(F+I)*(d-1);if(q<0||q>d-1){for(let Z=0;Zy+f-x-1:(y,x)=>y+x;for(let y=0;yy+f-x-1:(y,x)=>y+x;for(let y=0;y`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);let o=r.shape[0],l=r.shape[1],u=r.shape[2],p=r.shape[3],c=l*s,d=u*s,h=p/(s*s),f=a.data.get(r.dataId).values,m=new Float32Array(o*c*d*h),g=0;for(let y=0;y`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${d}'`);let h=S.computeConv2DInfo(r.shape,s.shape,i,d,o,u,!0),{filterHeight:f,filterWidth:m,dilationHeight:g,dilationWidth:y,padInfo:x}=h,A=x.left,b=x.top,w=h.outChannels/h.inChannels,C=new Wt(h.outShape,r.dtype),T=a.data.get(r.dataId).values,N=a.data.get(s.dataId).values,M=C.values;for(let F=0;F=h.inHeight)continue;let G=$*c[0],q=E+U*p[1];for(let H=0;H=h.inWidth)continue;let ee=G+X*c[1],me=q+re*h.inChannels,ie=V,Ae=ee;for(let Ce=0;Ce{let{x:n,filter:r}=e,{strides:s,pad:i,dilations:o}=a,l=t,u=l.data.get(n.dataId).values,p=n.shape.length,c=l.data.get(r.dataId).values,d=r.shape.length,{batchSize:h,inHeight:f,inWidth:m,inChannels:g,outHeight:y,outWidth:x,padInfo:A,strideHeight:b,strideWidth:w,filterHeight:C,filterWidth:T,dilationHeight:N,dilationWidth:M,outShape:F}=S.computeDilation2DInfo(n.shape,r.shape,s,i,"NHWC",o),E=v.sizeFromShape(F),I=F.length,_=v.getArrayFromDType(n.dtype,E);for(let O=0;O=0&&X=0&&eeH&&(H=Ae)}}}let V=v.locToIndex([O,B,U,q],I,v.computeStrides(F));_[V]=H}}}return{dataId:l.write(v.toTypedArray(_,n.dtype),F,n.dtype),shape:F,dtype:n.dtype}}},tW={kernelName:Pl,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:a})=>{let{x:n,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=a,u=t,p=v.toNestedArray(n.shape,u.data.get(n.dataId).values),c=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:d,inHeight:h,inWidth:f,inChannels:m,outHeight:g,outWidth:y,padInfo:x,strideHeight:A,strideWidth:b,filterHeight:w,filterWidth:C,dilationHeight:T,dilationWidth:N,outShape:M}=S.computeDilation2DInfo(n.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===M.length,()=>`Error in ${Pl}, dy must have the same rank as output ${M.length}, but got ${s.rank}`);let F=v.toNestedArray(M,u.data.get(s.dataId).values),E=v.makeZerosNestedTypedArray(r.shape,r.dtype);for(let I=0;I=0&&Z=0&&reG&&(G=ee,q=V,H=X)}}}E[q][H][U]+=F[I][_][B][U]}}}return{dataId:u.write(v.toTypedArray(E,n.dtype),r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},aW={kernelName:Dl,backendName:"cpu",kernelFunc:({inputs:e,backend:t,attrs:a})=>{let{x:n,filter:r,dy:s}=e,{strides:i,pad:o,dilations:l}=a,u=t,p=v.toNestedArray(n.shape,u.data.get(n.dataId).values),c=v.toNestedArray(r.shape,u.data.get(r.dataId).values),{batchSize:d,inHeight:h,inWidth:f,inChannels:m,outHeight:g,outWidth:y,padInfo:x,strideHeight:A,strideWidth:b,filterHeight:w,filterWidth:C,dilationHeight:T,dilationWidth:N,outShape:M}=S.computeDilation2DInfo(n.shape,r.shape,i,o,"NHWC",l);v.assert(s.rank===M.length,()=>`Error in ${Dl}, dy must have the same rank as output ${M.length}, but got ${s.rank}`);let F=v.toNestedArray(M,u.data.get(s.dataId).values),E=v.makeZerosNestedTypedArray(n.shape,n.dtype);for(let I=0;I=0&&Z=0&&reG&&(G=ee,q=Z,H=re)}}}E[I][q][H][U]+=F[I][_][B][U]}}}return{dataId:u.write(v.toTypedArray(E,n.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};function Wp(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;Ie(r,"sum");let o;r.dtype==="bool"?o=ts({inputs:{x:r},backend:a,attrs:{dtype:"int32"}}):o=ar({inputs:{x:r},backend:a});let l=o.shape.length,u=v.parseAxisParam(s,o.shape),p=S.getAxesPermutation(u,l),c=u,d=o;p!=null&&(d=Ua({inputs:{x:o},backend:a,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,l)),S.assertAxesAreInnerMostDims("sum",c,d.shape.length);let[h,f]=S.computeOutAndReduceShapes(d.shape,c),m=S.upcastType(d.dtype,"int32"),g=uh(a,h,m),y=v.sizeFromShape(f),x=a.data.get(g.dataId).values,A=a.data.get(d.dataId).values;for(let b=0;b=0&&(d=Wp({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeIntermediateTensorInfo(m);return d}var sW={kernelName:ip,backendName:"cpu",kernelFunc:rW};function iW(e){let{inputs:t,backend:a}=e,{dy:n,y:r}=t;Ie([n,r],"eluGrad");let s=new Float32Array(v.sizeFromShape(r.shape)),i=a.data.get(r.dataId).values,o=a.data.get(n.dataId).values;for(let l=0;l=0?s[l]=o[l]:s[l]=o[l]*(u+1)}return a.makeTensorInfo(r.shape,"float32",s)}var oW={kernelName:ou,backendName:"cpu",kernelFunc:iW},lW=S.ERF_P,uW=S.ERF_A1,dW=S.ERF_A2,pW=S.ERF_A3,cW=S.ERF_A4,hW=S.ERF_A5,fW=ct(lu,e=>{let t=Math.sign(e),a=Math.abs(e),n=1/(1+lW*a);return t*(1-((((hW*n+cW)*n+pW)*n+dW)*n+uW)*n*Math.exp(-a*a))}),mW={kernelName:lu,backendName:"cpu",kernelFunc:fW};function ch(e){let{inputs:t,backend:a,attrs:n}=e,{input:r}=t,{dim:s}=n,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),At({inputs:{x:r},backend:a,attrs:{shape:o}})}var gW={kernelName:uu,backendName:"cpu",kernelFunc:ch},yW=$t((e,t)=>e/t),dg=Xt(Ci,yW),A1={kernelName:Ci,backendName:"cpu",kernelFunc:dg};function L6(e,t,a){let n=e.shape,r=n[0],s=n[1],i=a.data.get(e.dataId),o=i.complexTensorInfos.real,l=i.complexTensorInfos.imag,u=[r,s],p=v.sizeFromShape(u),c=v.getTypedArrayFromDType("float32",p),d=v.getTypedArrayFromDType("float32",p);for(let g=0;g{let{image:n}=e,r=a,s=v.getTypedArrayFromDType(n.dtype,v.sizeFromShape(n.shape)),[i,o,l,u]=n.shape,p=r.data.get(n.dataId).values;for(let c=0;c=0&&x=0,()=>`GatherV2: the index value ${w} is not in [0, ${p-1}]`)}let c=o;o==null&&(c=0);let d=v.sizeFromShape(s.shape),h=S.segment_util.collectGatherOpShapeInfo(r,s,l,c),f=At({inputs:{x:r},backend:a,attrs:{shape:[h.batchSize,h.outerSize,h.dimSize,h.sliceSize]}}),m=At({inputs:{x:s},backend:a,attrs:{shape:[h.batchSize,d/h.batchSize]}}),g=[h.batchSize,h.outerSize,d/h.batchSize,h.sliceSize],y=a.bufferSync(m),x=a.bufferSync(f),A=a6(x,y,g);return a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),a.makeTensorInfo(h.outputShape,A.dtype,A.values)}var _W={kernelName:pu,backendName:"cpu",kernelFunc:FW};function $W(e){let{inputs:t,backend:a}=e,{input:n}=t,r=v.sizeFromShape(n.shape),s=n.shape[n.shape.length-1],i=r/s,o=At({inputs:{x:n},backend:a,attrs:{shape:[i,s]}}),l=L6(o,!0,a),u=At({inputs:{x:l},backend:a,attrs:{shape:n.shape}});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(l),u}var DW={kernelName:lp,backendName:"cpu",kernelFunc:$W},PW=ct(Li,e=>Number.isFinite(e)?1:0,"bool"),OW={kernelName:Li,backendName:"cpu",kernelFunc:PW},zW=ct(Wi,e=>Math.abs(e)===1/0?1:0,"bool"),LW={kernelName:Wi,backendName:"cpu",kernelFunc:zW},WW=ct(Bi,e=>Number.isNaN(e)?1:0,"bool"),BW={kernelName:Bi,backendName:"cpu",kernelFunc:WW};function VW(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=o6(n,r,s);return t.makeTensorInfo([i.length],"float32",i)}var UW={kernelName:Hi,backendName:"cpu",kernelFunc:VW},GW=ct(qi,e=>Math.log1p(e)),HW={kernelName:qi,backendName:"cpu",kernelFunc:GW},jW=$t((e,t)=>e&&t),qW=Xt(Xi,jW,null,"bool"),XW={kernelName:Xi,backendName:"cpu",kernelFunc:qW},KW=ct(Ki,e=>e?0:1,"bool"),YW={kernelName:Ki,backendName:"cpu",kernelFunc:KW},ZW=$t((e,t)=>e||t),JW=Xt(Yi,ZW,null,"bool"),QW={kernelName:Yi,backendName:"cpu",kernelFunc:JW};function eB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;Ie(r,"LRN");let u=r.shape[3],p=u-1,c=a.data.get(r.dataId).values,d=v.sizeFromShape(r.shape),h=new Float32Array(d);function f(m){let g=m%u,y=m-g+Math.max(0,g-s),x=m-g+Math.min(g+s,p),A=0;for(;y<=x;y++){let b=c[y];A+=b*b}return A}for(let m=0;m`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=S.computePool2DInfo(r.shape,s,i,u,o,l),c;if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))c=ar({inputs:{x:r},backend:a});else{let d=a.data.get(r.dataId).values,h=v.computeStrides(r.shape),f=ug(d,r.shape,r.dtype,h,p,"max");c=a.makeTensorInfo(p.outShape,r.dtype,f.values)}return c}var iB={kernelName:eo,backendName:"cpu",kernelFunc:sB};function oB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n;Ie(r,"maxPool3d");let p=S.computePool3DInfo(r.shape,s,i,1,o,l,u),c=a.data.get(r.dataId).values,d=P6(c,r.shape,r.dtype,v.computeStrides(r.shape),p,"max");return a.makeTensorInfo(d.shape,"float32",d.values)}var lB={kernelName:hu,backendName:"cpu",kernelFunc:oB};function uB(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n;Ie([r,s],"maxPool3DGrad");let p=S.computePool3DInfo(s.shape,i,o,1,l,u),c=a.bufferSync(s),d=Qz(c,p),h=p.strideDepth,f=p.strideHeight,m=p.strideWidth,g=p.dilationDepth,y=p.dilationHeight,x=p.dilationWidth,A=p.effectiveFilterDepth,b=p.effectiveFilterHeight,w=p.effectiveFilterWidth,C=A-1-p.padInfo.front,T=w-1-p.padInfo.left,N=b-1-p.padInfo.top,M=$e(s.shape,"float32"),F=a.bufferSync(r);for(let E=0;E=p.outDepth||Math.floor(V)!==V))for(let Z=0;Z=p.outHeight||Math.floor(X)!==X))for(let re=0;re=p.outWidth||Math.floor(ee)!==ee)continue;let me=A*b*w-1-d.get(E,V,X,ee,I),ie=H*b*w+Z*w+re,Ae=me===ie?1:0;if(Ae===0)continue;let Ce=F.get(E,V,X,ee,I);q+=Ce*Ae}}}M.set(q,E,_,O,B,I)}return a.makeTensorInfo(M.shape,M.dtype,M.values)}var dB={kernelName:dp,backendName:"cpu",kernelFunc:uB};function pB(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s,output:i}=t,o=s;Ie([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:c}=n,d=S.computePool2DInfo(o.shape,l,u,1,p,c),h=a.data.get(o.dataId).values,f=$e(d.outShape,o.dtype,D6(h,o.shape,o.dtype,d).values),m=d.strideHeight,g=d.strideWidth,y=d.dilationHeight,x=d.dilationWidth,A=d.effectiveFilterHeight,b=d.effectiveFilterWidth,w=b-1-d.padInfo.left,C=A-1-d.padInfo.top,T=$e(o.shape,"float32"),N=a.data.get(r.dataId).values,M=$e(r.shape,"float32",N);for(let F=0;F=d.outHeight||Math.floor(G)!==G))for(let q=0;q=d.outWidth||Math.floor(H)!==H)continue;let V=A*b-1-f.get(F,G,H,E),Z=U*b+q,X=V===Z?1:0;if(X===0)continue;let re=M.get(F,G,H,E);$+=re*X}}T.set($,F,I,_,E)}return a.makeTensorInfo(T.shape,T.dtype,T.values)}var cB={kernelName:Sh,backendName:"cpu",kernelFunc:pB};function hB(e,t,a,n,r){let s=v.computeStrides(t),i=ug(e,t,a,s,r,"max"),o=D6(e,t,a,r,!0,n);return[i.values,o.values]}var fB={kernelName:pp,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=a;Ie(n,"MaxPoolWithArgmax");let u=l.data.get(n.dataId).values,p=S.computePool2DInfo(n.shape,r,s,[1,1],i),[c,d]=hB(u,n.shape,n.dtype,o,p),h=l.write(c,p.outShape,n.dtype),f=l.write(d,p.outShape,n.dtype);return[{dataId:h,shape:p.outShape,dtype:n.dtype},{dataId:f,shape:p.outShape,dtype:"int32"}]}};function mB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=v.parseAxisParam(s,r.shape),l=S.computeOutAndReduceShapes(r.shape,o)[1],u=v.sizeFromShape(l),p=[],c=a.makeTensorInfo([],"float32",new Float32Array([u]));p.push(c);let d=ts({inputs:{x:r},backend:a,attrs:{dtype:"float32"}});p.push(d);let h=dg({inputs:{a:d,b:c},backend:a});p.push(h);let f=Wp({inputs:{x:h},backend:a,attrs:{axis:s,keepDims:i}});return p.forEach(m=>a.disposeIntermediateTensorInfo(m)),f}var gB={kernelName:to,backendName:"cpu",kernelFunc:mB};function yB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;Ie(r,"min");let o=v.parseAxisParam(s,r.shape),l=o,u=S.getAxesPermutation(l,r.shape.length),p=r;u!=null&&(p=Ua({inputs:{x:r},backend:a,attrs:{perm:u}}),l=S.getInnerMostAxes(l.length,r.shape.length)),S.assertAxesAreInnerMostDims("min",l,p.shape.length);let[c,d]=S.computeOutAndReduceShapes(p.shape,l),h=v.sizeFromShape(d),f=v.makeZerosTypedArray(v.sizeFromShape(c),p.dtype),m=a.data.get(p.dataId).values;for(let y=0;yx[0]+r.shape[A]+x[1]),l=s.map(x=>x[0]),u=s.map((x,A)=>x[0]+r.shape[A]),p=i==="reflect"?0:1,c=a.data.get(r.dataId).values,d=r.shape.length,h=v.computeStrides(r.shape),f=v.sizeFromShape(o),m=o.length,g=v.computeStrides(o),y=v.getTypedArrayFromDType(r.dtype,f);for(let x=0;x=u[w]&&(A[w]=(u[w]-1)*2-A[w]+p);A=A.map((w,C)=>w-l[C]);let b=v.locToIndex(A,d,h);y[x]=c[b]}return{dataId:a.write(y,o,r.dtype),shape:o,dtype:r.dtype}}var bB={kernelName:ro,backendName:"cpu",kernelFunc:AB},vB=$t((e,t)=>{let a=e%t;return e<0&&t<0||e>=0&&t>=0?a:(a+t)%t}),wB=Xt(fu,vB),kB={kernelName:fu,backendName:"cpu",kernelFunc:wB},IB=Xl(jx());function B6(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{dim:s}=n,i=r.shape.length,o=s;if(o===-1&&(o=i-1),o!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${o}`);let l=v.parseAxisParam([o],r.shape),u=W6({inputs:{x:r},backend:a,attrs:{reductionIndices:l,keepDims:!1}}),p=S.expandShapeToKeepDim(u.shape,l),c=At({inputs:{x:u},backend:a,attrs:{shape:p}}),d=og({inputs:{a:r,b:c},backend:a}),h=Z7({inputs:{x:d},backend:a}),f=Wp({inputs:{x:h},backend:a,attrs:{axis:l,keepDims:!1}}),m=At({inputs:{x:f},backend:a,attrs:{shape:p}}),g=dg({inputs:{a:h,b:m},backend:a});return a.disposeIntermediateTensorInfo(u),a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(m),g}var SB={kernelName:$o,backendName:"cpu",kernelFunc:B6};function CB(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n;Ie(r,"multinomial");let l=o?r:B6({inputs:{logits:r},backend:a,attrs:{dim:-1}}),u=l.shape[0],p=l.shape[1],c=a.data.get(l.dataId).values,d=[u,s],h=v.makeZerosTypedArray(v.sizeFromShape(d),"int32");for(let f=0;f=0&&c[d]{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=ch({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=jl({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeIntermediateTensorInfo(p)),u}var BB={kernelName:xu,backendName:"cpu",kernelFunc:U6};function VB(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;Ie(r,"pad");let o=s.map((y,x)=>y[0]+r.shape[x]+y[1]),l=s.map(y=>y[0]),u=a.data.get(r.dataId).values,p=v.sizeFromShape(r.shape),c=r.shape.length,d=v.computeStrides(r.shape),h=v.sizeFromShape(o),f=o.length,m=v.computeStrides(o),g=v.getTypedArrayFromDType(r.dtype,h);i!==0&&g.fill(i);for(let y=0;yb+l[w]),A=v.locToIndex(x,f,m);g[A]=u[y]}return{dataId:a.write(g,o,r.dtype),shape:o,dtype:r.dtype}}var G6={kernelName:co,backendName:"cpu",kernelFunc:VB},UB=$t((e,t)=>Math.pow(e,t)),GB=Xt(ho,UB),HB={kernelName:ho,backendName:"cpu",kernelFunc:GB};function jB(e){let{inputs:t,backend:a,attrs:n}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=n,l=r.map(y=>a.data.get(y.dataId).values),u=r.map(y=>y.shape),p=a.data.get(s.dataId).values,c=a.data.get(i.dataId).values,[d,h,f]=m6(l,u,p,s.shape,s.dtype,c,i.shape,o),m=d.map(y=>a.makeTensorInfo([y.length],"int32",y)),g=a.makeTensorInfo(f,s.dtype,h);return m.concat([g])}var qB={kernelName:Ch,backendName:"cpu",kernelFunc:jB};function XB(e){let{inputs:t,backend:a}=e,{starts:n,limits:r,deltas:s}=t,i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=g6(i,n.shape,n.dtype,o,r.shape,l,s.shape),c=a.makeTensorInfo([u.length],"int32",u),d=a.makeTensorInfo([p.length],n.dtype,p);return[c,d]}var KB={kernelName:Th,backendName:"cpu",kernelFunc:XB};function YB(e){let{inputs:t,backend:a,attrs:n}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=n,u=a.data.get(r.dataId).values,p=a.data.get(s.dataId).values,c=a.data.get(i.dataId).values,d=o.map(g=>a.data.get(g.dataId).values),h=o.map(g=>g.shape),[f,m]=y6(u,r.shape,p,s.shape,s.dtype,c,i.shape,d,h,l);return a.makeTensorInfo(f,s.dtype,m)}var ZB={kernelName:Nh,backendName:"cpu",kernelFunc:YB};function JB(e){let{backend:t,attrs:a}=e,{start:n,stop:r,dtype:s,step:i}=a,o=ag(n,r,i,s);return t.makeTensorInfo([o.length],s,o)}var QB={kernelName:Au,backendName:"cpu",kernelFunc:JB},eV=ct(go,e=>1/e),tV={kernelName:go,backendName:"cpu",kernelFunc:eV};function aV(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n;Ie(r,"resizeBilinear");let l=v.computeStrides(r.shape),[u,p]=o,[c,d,h,f]=r.shape,m=a.data.get(r.dataId).values,g=new Float32Array(v.sizeFromShape([c,u,p,f])),y=[s&&u>1?d-1:d,s&&p>1?h-1:h],x=[s&&u>1?u-1:u,s&&p>1?p-1:p],A=0,b=y[0]/x[0],w=y[1]/x[1];for(let C=0;C1?u-1:u,i&&h>1?p-1:p],g=[i&&d>1?d-1:d,i&&h>1?h-1:h],y=m[0]/g[0],x=m[1]/g[1],A=a.data.get(s.dataId).values,b=0;for(let w=0;w1?d-1:d,s&&p>1?h-1:h],x=[s&&u>1?u-1:u,s&&p>1?p-1:p],A=y[0]/x[0],b=y[1]/x[1],w=0;for(let C=0;C1?p-1:p,i&&f>1?c-1:c],x=[i&&h>1?h-1:h,i&&f>1?f-1:f],A=y[0]/x[0],b=y[1]/x[1],w=1/A,C=1/b,T=Math.ceil(w)*2+2,N=Math.ceil(C)*2+2;for(let M=0;M=h)continue;let X=F+Z*l[1],re=Z*A,ee=Math.min(p-1,i?Math.round(re):Math.floor(re));if(E===ee)for(let me=0;me=f)continue;let Ae=X+ie*l[2],Ce=ie*b,Re=Math.min(c-1,i?Math.round(Ce):Math.floor(Ce));B===Re&&(H+=g[Ae+q])}}m[$+q]=H}}}}return a.makeTensorInfo(r.shape,r.dtype,m)}var uV={kernelName:vu,backendName:"cpu",kernelFunc:lV};function dV(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n;Ie(r,"reverse");let i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return ar({inputs:{x:r},backend:a});let l=new Wt(r.shape,r.dtype),u=a.bufferSync(r);for(let p=0;pd[h]=r.shape[h]-1-d[h]),l.set(u.get(...d),...c)}return a.makeTensorInfo(l.shape,l.dtype,l.values)}var pV={kernelName:vo,backendName:"cpu",kernelFunc:dV},cV={kernelName:Uo,backendName:"cpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=v.getTypedArrayFromDType(n.dtype,v.sizeFromShape(n.shape)),[u,p,c,d]=n.shape,[h,f]=S.getImageCenter(i,p,c),m=255,g=Math.sin(r),y=Math.cos(r),x=o.data.get(n.dataId).values;for(let A=0;A=0&&_=0&&O{let t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2===0?t:t+1}),fV={kernelName:wo,backendName:"cpu",kernelFunc:hV};function mV(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=S.calculateShapes(s,r,i),d=!0,h=a.bufferSync(r),f=a.bufferSync(s),m=Bs(h,f,i,c,u,l,o,p,0,d);return a.makeTensorInfo(i,m.dtype,m.values)}var gV={kernelName:Io,backendName:"cpu",kernelFunc:mV};function yV(e,t){let a=0,n=e.length,r=0;for(;a1||r.shape.length===1?1:v.sizeFromShape(r.shape.slice(1));for(let f=0;fe>=0?SV*e:IV*(Math.exp(e)-1)),TV={kernelName:To,backendName:"cpu",kernelFunc:CV},NV=ct(Ro,e=>e<0?-1:e>0?1:0),RV={kernelName:Ro,backendName:"cpu",kernelFunc:NV},EV=ct(No,e=>Math.sin(e)),MV={kernelName:No,backendName:"cpu",kernelFunc:EV},FV=ct(Su,e=>Math.sinh(e)),_V={kernelName:Su,backendName:"cpu",kernelFunc:FV},$V=11920928955078125e-23,tx=Math.log($V)+2,DV=ct(Mo,e=>{let t=e>-tx,a=eNumber(g)))),a.makeTensorInfo([m.length],n.dtype,new Int32Array(m))]}var iW={kernelName:Ld,backendName:"cpu",kernelFunc:sW};function oW(e){let{inputs:t,backend:a}=e,{inputIndices:n,inputShape:r,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape + ${i.shape}`);let o=a.data.get(n.dataId).values,l=a.data.get(r.dataId).values,u=a.data.get(s.dataId).values,p=a.data.get(i.dataId).values[0],[c,d,h,f,m]=b6(o,n.shape,n.dtype,l,r.dtype,u,p);return[a.makeTensorInfo(d,n.dtype,c),a.makeTensorInfo([d[0]],r.dtype,h),a.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),a.makeTensorInfo([m.length],n.dtype,new Int32Array(m))]}var WV={kernelName:hp,backendName:"cpu",kernelFunc:LV};function BV(e){let{inputs:t,backend:a}=e,{inputIndices:n,inputShape:r,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape - ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(a.data.get(r.dataId).values),o=a.data.get(n.dataId).values,l=Array.from(a.data.get(s.dataId).values),[u,p,c]=v7(o,n.shape,n.dtype,i,l);return[a.makeTensorInfo(p,n.dtype,u),a.makeTensorInfo([c.length],s.dtype,new Int32Array(c))]}var lW={kernelName:eu,backendName:"cpu",kernelFunc:oW};function uW(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(a.data.get(r.dataId).values),o=a.data.get(n.dataId).values,l=Array.from(a.data.get(s.dataId).values),[u,p,c]=v6(o,n.shape,n.dtype,i,l);return[a.makeTensorInfo(p,n.dtype,u),a.makeTensorInfo([c.length],s.dtype,new Int32Array(c))]}var VV={kernelName:Nu,backendName:"cpu",kernelFunc:BV};function UV(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=c3(i,n.shape,n.dtype,o,l,!0);return a.makeTensorInfo(p,n.dtype,u)}var dW={kernelName:Bd,backendName:"cpu",kernelFunc:uW};function pW(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=ng(i,n.shape,n.dtype,o,l,!0);return a.makeTensorInfo(p,n.dtype,u)}var GV={kernelName:fp,backendName:"cpu",kernelFunc:UV};function HV(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=c3(i,n.shape,n.dtype,o,l);return a.makeTensorInfo(p,n.dtype,u)}var cW={kernelName:Wd,backendName:"cpu",kernelFunc:pW};function hW(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=T.calculateShapes(s,r,o),h=!1,f=a.bufferSync(r),m;switch(s.dtype){case"bool":{let g=a.bufferSync(s),y=!!a.data.get(i.dataId).values[0];m=el(f,g,o,d,p,u,l,c,y,h);break}case"float32":{let g=a.bufferSync(s),y=a.data.get(i.dataId).values[0];m=el(f,g,o,d,p,u,l,c,y,h);break}case"int32":{let g=a.bufferSync(s),y=a.data.get(i.dataId).values[0];m=el(f,g,o,d,p,u,l,c,y,h);break}case"string":{let g=a.bufferSync(s),y=v.decodeString(a.data.get(i.dataId).values[0]);m=el(f,g,o,d,p,u,l,c,y,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return a.makeTensorInfo(o,m.dtype,m.values)}var fW={kernelName:Vd,backendName:"cpu",kernelFunc:hW};function mW(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(c=>{let d=[...p];d[o]=c;let h=Gs({inputs:{x:r},backend:a,attrs:{begin:u,size:d}});return u[o]+=c,h})}var gW={kernelName:Ql,backendName:"cpu",kernelFunc:mW},yW={kernelName:Ud,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:a}=e,n=t;Ae(a,"square");let r=n.data.get(a.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let a=t;return isNaN(e)?NaN:e>0?1:a.alpha}),AW={kernelName:rs,backendName:"cpu",kernelFunc:xW};function bW(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n;Ae(r,"stridedSlice");let{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=St.sliceInfo(r.shape,s,i,o,l,u,p,c,d),k;if(m)k=mt({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let S=St.computeOutShape(x,A,b),C=Gs({inputs:{x:r},backend:a,attrs:{begin:x,size:S}});k=mt({inputs:{x:C},backend:a,attrs:{shape:f}}),a.disposeIntermediateTensorInfo(C)}else{let S=a.bufferSync(r),C=w7(h,S,b,x);k=a.makeTensorInfo(f,C.dtype,C.values)}return k}var vW={kernelName:uo,backendName:"cpu",kernelFunc:bW};function kW(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.data.get(p.dataId).values,h=a.data.get(c.dataId).values,[f,m]=h3(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var wW={kernelName:tu,backendName:"cpu",kernelFunc:kW};function IW(e){let{inputs:t,backend:a,attrs:n}=e,{skipEmpty:r}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=a.data.get(s.dataId).values,l=a.data.get(i.dataId).values[0],[u,p,c]=f3(o,l,r),d=p.length;return[a.makeTensorInfo([d,2],"int32",u),a.makeTensorInfo([d],"string",p),a.makeTensorInfo([2],"int32",new Int32Array(c))]}var SW={kernelName:Gd,backendName:"cpu",kernelFunc:IW};function TW(e){let{inputs:t,backend:a,attrs:n}=e,{numBuckets:r}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=a.data.get(s.dataId).values,o=m3(i,r);return a.makeTensorInfo(s.shape,"int32",o)}var CW={kernelName:Hd,backendName:"cpu",kernelFunc:TW},NW=ut(co,e=>Math.tan(e)),EW={kernelName:co,backendName:"cpu",kernelFunc:NW},RW=ut(ho,e=>Math.tanh(e)),MW={kernelName:ho,backendName:"cpu",kernelFunc:RW};function $W(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reps:s}=n;Ae(r,"tile");let i=S7(a.bufferSync(r),s);return a.makeTensorInfo(i.shape,i.dtype,i.values)}var _W={kernelName:ns,backendName:"cpu",kernelFunc:$W};function PW(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{k:s,sorted:i}=n;Ae(r,"topk");let o=a.data.get(r.dataId).values,[l,u]=C7(o,r.shape,r.dtype,s,i);return[a.makeTensorInfo(l.shape,l.dtype,l.values),a.makeTensorInfo(u.shape,u.dtype,u.values)]}var FW={kernelName:fo,backendName:"cpu",kernelFunc:PW};function OW(e){let{inputs:t,attrs:a,backend:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=v.computeStrides(r.shape),x=y[0],A=y[1],b=y[2],k=v.computeStrides(g),S=k[0],C=k[1],N=k[2],$=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));$.fill(l);let M=n.data.get(r.dataId).values,R=n.data.get(s.dataId).values;for(let I=0;It-1)if(t<=1)a=0;else{let n=2*t;a-=n*Math.trunc(a/n),a>=t&&(a=n-a-1)}return v.clamp(0,a,t-1)}function LW(e,t){let a=e;if(a<0)if(t<=1)a=0;else{let n=t-1;a+=t*(Math.trunc(-a/n)+1)}else if(a>t-1)if(t<=1)a=0;else{let n=t-1;a-=t*Math.trunc(a/n)}return v.clamp(0,a,t-1)}function BW(e,t){return e}function WW(e,t){return v.clamp(0,e,t-1)}function Hu(e,t,a,n,r,s,i,o,l,u,p){let c=i*n+o*r+l*s+u;return 0<=o&&oa.disposeIntermediateTensorInfo(f)),h}var KW={kernelName:uh,backendName:"cpu",kernelFunc:XW},ZW=[GO,RF,jO,XO,OF,ZO,JO,eD,aD,rD,iD,lD,dD,hD,mD,xD,bD,kD,ID,VO,TD,ND,RD,$D,PF,zF,PD,MF,OD,zD,LD,WD,UD,HD,qD,KD,YD,QD,tz,nz,sz,oz,uz,dz,cz,fz,gz,yz,xz,Az,kz,FO,Iz,LF,$z,BF,_z,VF,Lz,Bz,Vz,GF,Hz,qz,Kz,Yz,Qz,jF,XF,$F,tL,DD,nL,sL,oL,OO,ZF,JF,uL,eO,pL,fL,gL,AL,vL,wL,IL,aO,TL,NL,RL,$L,PL,OL,zL,rO,BL,UL,qL,iO,lO,ZL,QL,aB,dO,rB,iB,oB,G7,pB,zO,hO,hB,mB,yB,AB,_F,g2,vB,LO,BO,WO,wB,SB,CB,EB,MB,$B,PB,vO,OB,WB,UB,qB,wO,KB,YB,QB,IO,HL,aW,rW,iW,lW,dW,cW,fW,gW,CO,yW,EO,AW,vW,wW,SW,CW,_O,bz,EW,MW,_W,FW,DW,pO,HW,qW,KW,sB];for(let e of ZW)yn(e);var H7={};Ze(H7,{assertNotComplex:()=>uu,bindCanvasToFramebuffer:()=>oV,bindColorTextureToFramebuffer:()=>bc,bindTextureToProgramUniformSampler:()=>i6,bindTextureUnit:()=>n6,bindVertexBufferToProgramAttribute:()=>x2,callAndCheck:()=>ue,canBeRepresented:()=>j7,createFragmentShader:()=>K7,createFramebuffer:()=>a6,createProgram:()=>Z7,createStaticIndexBuffer:()=>Q7,createStaticVertexBuffer:()=>J7,createTexture:()=>e6,createVertexShader:()=>X7,getBatchDim:()=>Hs,getExtensionOrThrow:()=>ju,getFramebufferErrorMessage:()=>o6,getMaxTexturesInShader:()=>p6,getNumChannels:()=>sV,getProgramUniformLocation:()=>s6,getProgramUniformLocationOrThrow:()=>r6,getRowsCols:()=>js,getShapeAs3D:()=>Xu,getTextureShapeFromLogicalShape:()=>u6,getWebGLDisjointQueryTimerVersion:()=>c6,getWebGLErrorMessage:()=>q7,getWebGLMaxTextureSize:()=>d6,hasExtension:()=>fn,isCapableOfRenderingToFloatTexture:()=>h6,isDownloadFloatTextureEnabled:()=>f6,isReshapeFree:()=>gd,isWebGLFenceEnabled:()=>m6,isWebGLVersionEnabled:()=>b2,linkProgram:()=>Y7,logShaderSourceAndInfoLog:()=>v3,resetMaxTextureSize:()=>lV,resetMaxTexturesInShader:()=>uV,unbindColorTextureFromFramebuffer:()=>A2,unbindTextureUnit:()=>iV,validateFramebuffer:()=>qu,validateProgram:()=>Ac,validateTextureSize:()=>t6});var Fs={},pc={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Eh(e,t){Fs[e]=t}function Dn(e,t){if(!(e in Fs)||t!=null){let n=JW(e,t);if(n!==null)Fs[e]=n;else return console.log("Could not get context for WebGL version",e),null}let a=Fs[e];return a==null||a.isContextLost()?(delete Fs[e],Dn(e)):(a.disable(a.DEPTH_TEST),a.disable(a.STENCIL_TEST),a.disable(a.BLEND),a.disable(a.DITHER),a.disable(a.POLYGON_OFFSET_FILL),a.disable(a.SAMPLE_COVERAGE),a.enable(a.SCISSOR_TEST),a.enable(a.CULL_FACE),a.cullFace(a.BACK),Fs[e])}function YW(e){if(typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function JW(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let a=t==null?YW(e):t;return a.addEventListener("webglcontextlost",n=>{n.preventDefault(),delete Fs[e]},!1),V().getBool("SOFTWARE_WEBGL_ENABLED")&&(pc.failIfMajorPerformanceCaveat=!1),e===1?a.getContext("webgl",pc)||a.getContext("experimental-webgl",pc):a.getContext("webgl2",pc)}var md;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(md||(md={}));var hn;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(hn||(hn={}));var oa;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(oa||(oa={}));function pp(e,t){return[t,e]}function QW(e,t){return e*t}function cc(e){let t=v.sizeFromShape(e),a=Math.ceil(t/4);return v.sizeToSquarishShape(a)}function lu(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function eV(e,t){let[a,n]=lu(e,t);return a*n*4}function b3(e,t){let a=e,n,r,s,i,o,l,u,p,c,d;return V().getNumber("WEBGL_VERSION")===2?(n=a.R32F,r=a.R16F,s=a.RGBA16F,i=a.RGBA32F,o=a.RED,u=4,p=1,c=a.HALF_FLOAT,d=a.FLOAT,l=a.RGBA8):(n=e.RGBA,r=e.RGBA,s=e.RGBA,i=a.RGBA,o=e.RGBA,u=4,p=4,c=t!=null?t.HALF_FLOAT_OES:null,d=e.FLOAT,l=e.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:c,textureTypeFloat:d}}function ue(e,t){let a=t();return V().getBool("DEBUG")&&tV(e),a}function tV(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+q7(e,t))}var aV=596e-10,nV=65504;function j7(e){return!!(V().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||aVe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function X7(e,t){let a=Tr(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(ue(e,()=>e.shaderSource(a,t)),ue(e,()=>e.compileShader(a)),e.getShaderParameter(a,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(a)),new Error("Failed to compile vertex shader.");return a}function K7(e,t){let a=Tr(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(ue(e,()=>e.shaderSource(a,t)),ue(e,()=>e.compileShader(a)),V().get("ENGINE_COMPILE_ONLY"))return a;if(e.getShaderParameter(a,e.COMPILE_STATUS)===!1)throw v3(t,e.getShaderInfoLog(a)),new Error("Failed to compile fragment shader.");return a}var rV=/ERROR: [0-9]+:([0-9]+):/g;function v3(e,t){let a=rV.exec(t);if(a==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let n=+a[1],r=e.split(` + ${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=a.data.get(n.dataId).values,o=a.data.get(r.dataId).values,l=a.data.get(s.dataId).values,[u,p]=ng(i,n.shape,n.dtype,o,l);return a.makeTensorInfo(p,n.dtype,u)}var jV={kernelName:mp,backendName:"cpu",kernelFunc:HV};function qV(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=S.calculateShapes(s,r,o),h=!1,f=a.bufferSync(r),m;switch(s.dtype){case"bool":{let g=a.bufferSync(s),y=!!a.data.get(i.dataId).values[0];m=Bs(f,g,o,d,p,u,l,c,y,h);break}case"float32":{let g=a.bufferSync(s),y=a.data.get(i.dataId).values[0];m=Bs(f,g,o,d,p,u,l,c,y,h);break}case"int32":{let g=a.bufferSync(s),y=a.data.get(i.dataId).values[0];m=Bs(f,g,o,d,p,u,l,c,y,h);break}case"string":{let g=a.bufferSync(s),y=v.decodeString(a.data.get(i.dataId).values[0]);m=Bs(f,g,o,d,p,u,l,c,y,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return a.makeTensorInfo(o,m.dtype,m.values)}var XV={kernelName:Do,backendName:"cpu",kernelFunc:qV};function KV(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=S.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(c=>{let d=[...p];d[o]=c;let h=Xs({inputs:{x:r},backend:a,attrs:{begin:u,size:d}});return u[o]+=c,h})}var YV={kernelName:Tu,backendName:"cpu",kernelFunc:KV},ZV={kernelName:gp,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:a}=e,n=t;Ie(a,"square");let r=n.data.get(a.dataId).values,s=new Float32Array(r.length);for(let i=0;i{let a=t;return isNaN(e)?NaN:e>0?1:a.alpha}),QV={kernelName:is,backendName:"cpu",kernelFunc:JV};function eU(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n;Ie(r,"stridedSlice");let{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=Nt.sliceInfo(r.shape,s,i,o,l,u,p,c,d),w;if(m)w=At({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=Nt.computeOutShape(x,A,b),T=Xs({inputs:{x:r},backend:a,attrs:{begin:x,size:C}});w=At({inputs:{x:T},backend:a,attrs:{shape:f}}),a.disposeIntermediateTensorInfo(T)}else{let C=a.bufferSync(r),T=I6(h,C,b,x);w=a.makeTensorInfo(f,T.dtype,T.values)}return w}var tU={kernelName:Oo,backendName:"cpu",kernelFunc:eU};function aU(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.data.get(p.dataId).values,h=a.data.get(c.dataId).values,[f,m]=rg(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var nU={kernelName:Ru,backendName:"cpu",kernelFunc:aU};function rU(e){let{inputs:t,backend:a,attrs:n}=e,{skipEmpty:r}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=a.data.get(s.dataId).values,l=a.data.get(i.dataId).values[0],[u,p,c]=sg(o,l,r),d=p.length;return[a.makeTensorInfo([d,2],"int32",u),a.makeTensorInfo([d],"string",p),a.makeTensorInfo([2],"int32",new Int32Array(c))]}var sU={kernelName:xp,backendName:"cpu",kernelFunc:rU};function iU(e){let{inputs:t,backend:a,attrs:n}=e,{numBuckets:r}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=a.data.get(s.dataId).values,o=ig(i,r);return a.makeTensorInfo(s.shape,"int32",o)}var oU={kernelName:Ap,backendName:"cpu",kernelFunc:iU},lU=ct(Lo,e=>Math.tan(e)),uU={kernelName:Lo,backendName:"cpu",kernelFunc:lU},dU=ct(Wo,e=>Math.tanh(e)),pU={kernelName:Wo,backendName:"cpu",kernelFunc:dU};function cU(e){let{inputs:t,backend:a}=e,{tensor:n,indices:r,updates:s}=t,{sliceRank:i,numUpdates:o,sliceSize:l,strides:u,outputSize:p}=S.calculateShapes(s,r,n.shape),c=!1,d=a.bufferSync(r),h=a.bufferSync(s),f=a.bufferSync(n),m=Bs(d,h,n.shape,p,l,o,i,u,f,c);return a.makeTensorInfo(n.shape,m.dtype,m.values)}var hU={kernelName:So,backendName:"cpu",kernelFunc:cU};function fU(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reps:s}=n;Ie(r,"tile");let i=C6(a.bufferSync(r),s);return a.makeTensorInfo(i.shape,i.dtype,i.values)}var mU={kernelName:ss,backendName:"cpu",kernelFunc:fU};function gU(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{k:s,sorted:i}=n;Ie(r,"topk");let o=a.data.get(r.dataId).values,[l,u]=N6(o,r.shape,r.dtype,s,i);return[a.makeTensorInfo(l.shape,l.dtype,l.values),a.makeTensorInfo(u.shape,u.dtype,u.values)]}var yU={kernelName:Bo,backendName:"cpu",kernelFunc:gU};function xU(e){let{inputs:t,attrs:a,backend:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=v.computeStrides(r.shape),x=y[0],A=y[1],b=y[2],w=v.computeStrides(g),C=w[0],T=w[1],N=w[2],M=v.getTypedArrayFromDType(r.dtype,v.sizeFromShape(g));M.fill(l);let F=n.data.get(r.dataId).values,E=n.data.get(s.dataId).values;for(let I=0;It-1)if(t<=1)a=0;else{let n=2*t;a-=n*Math.trunc(a/n),a>=t&&(a=n-a-1)}return v.clamp(0,a,t-1)}function vU(e,t){let a=e;if(a<0)if(t<=1)a=0;else{let n=t-1;a+=t*(Math.trunc(-a/n)+1)}else if(a>t-1)if(t<=1)a=0;else{let n=t-1;a-=t*Math.trunc(a/n)}return v.clamp(0,a,t-1)}function wU(e,t){return e}function kU(e,t){return v.clamp(0,e,t-1)}function xd(e,t,a,n,r,s,i,o,l,u,p){let c=i*n+o*r+l*s+u;return 0<=o&&oa.disposeIntermediateTensorInfo(f)),h}var MU={kernelName:vp,backendName:"cpu",kernelFunc:EU},FU=[Tz,oO,Rz,Mz,hO,_z,Dz,Oz,Lz,Bz,Uz,Hz,qz,Yz,Jz,tL,nL,sL,oL,Sz,uL,pL,hL,mO,mL,pO,yO,yL,lO,AL,vL,wL,IL,CL,NL,EL,FL,$L,PL,zL,WL,VL,GL,jL,qL,KL,ZL,QL,eW,tW,aW,sW,xz,oW,xO,mW,AO,gW,vO,wW,kW,SW,kO,SO,TW,RW,MW,_W,TO,RO,uO,DW,bL,OW,LW,BW,Az,MO,_O,UW,DO,HW,XW,YW,QW,tB,nB,rB,OO,iB,lB,dB,cB,fB,gB,xB,LO,bB,kB,TB,BO,UO,EB,_B,PB,HO,zB,WB,BB,G6,HB,vz,XO,qB,KB,ZB,QB,dO,A1,tV,wz,kz,Iz,nV,sV,oV,uV,pV,cV,fV,az,gV,vV,kV,TV,rz,RV,MV,_V,sz,SB,PV,zV,WV,VV,GV,jV,XV,YV,lz,ZV,dz,cz,QV,tU,nU,sU,oU,gz,nW,uU,pU,hU,mU,yU,AU,jO,TU,RU,MU,LB];for(let e of FU)yn(e);var H6={};Ze(H6,{assertNotComplex:()=>Pu,bindCanvasToFramebuffer:()=>UU,bindColorTextureToFramebuffer:()=>Kc,bindTextureToProgramUniformSampler:()=>iv,bindTextureUnit:()=>nv,bindVertexBufferToProgramAttribute:()=>v1,callAndCheck:()=>pe,canBeRepresented:()=>j6,createFragmentShader:()=>K6,createFramebuffer:()=>av,createProgram:()=>Y6,createStaticIndexBuffer:()=>Q6,createStaticVertexBuffer:()=>J6,createTexture:()=>ev,createVertexShader:()=>X6,getBatchDim:()=>Ks,getExtensionOrThrow:()=>Ad,getFramebufferErrorMessage:()=>ov,getMaxTexturesInShader:()=>pv,getNumChannels:()=>BU,getProgramUniformLocation:()=>sv,getProgramUniformLocationOrThrow:()=>rv,getRowsCols:()=>Ys,getShapeAs3D:()=>vd,getTextureShapeFromLogicalShape:()=>uv,getWebGLDisjointQueryTimerVersion:()=>cv,getWebGLErrorMessage:()=>q6,getWebGLMaxTextureSize:()=>dv,hasExtension:()=>mn,isCapableOfRenderingToFloatTexture:()=>hv,isDownloadFloatTextureEnabled:()=>fv,isReshapeFree:()=>Gd,isWebGLFenceEnabled:()=>mv,isWebGLVersionEnabled:()=>k1,linkProgram:()=>Z6,logShaderSourceAndInfoLog:()=>hg,resetMaxTextureSize:()=>GU,resetMaxTexturesInShader:()=>HU,unbindColorTextureFromFramebuffer:()=>w1,unbindTextureUnit:()=>VU,validateFramebuffer:()=>bd,validateProgram:()=>Xc,validateTextureSize:()=>tv});var Ls={},Bc={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Zh(e,t){Ls[e]=t}function Wn(e,t){if(!(e in Ls)||t!=null){let n=$U(e,t);if(n!==null)Ls[e]=n;else return console.log("Could not get context for WebGL version",e),null}let a=Ls[e];return a==null||a.isContextLost()?(delete Ls[e],Wn(e)):(a.disable(a.DEPTH_TEST),a.disable(a.STENCIL_TEST),a.disable(a.BLEND),a.disable(a.DITHER),a.disable(a.POLYGON_OFFSET_FILL),a.disable(a.SAMPLE_COVERAGE),a.enable(a.SCISSOR_TEST),a.enable(a.CULL_FACE),a.cullFace(a.BACK),Ls[e])}function _U(e){if(!W().getBool("IS_SAFARI")&&typeof OffscreenCanvas!="undefined"&&e===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function $U(e,t){if(e!==1&&e!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let a=t==null?_U(e):t;return a.addEventListener("webglcontextlost",n=>{n.preventDefault(),delete Ls[e]},!1),W().getBool("SOFTWARE_WEBGL_ENABLED")&&(Bc.failIfMajorPerformanceCaveat=!1),e===1?a.getContext("webgl",Bc)||a.getContext("experimental-webgl",Bc):a.getContext("webgl2",Bc)}var Ud;(function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"})(Ud||(Ud={}));var fn;(function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"})(fn||(fn={}));var da;(function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(da||(da={}));function Bp(e,t){return[t,e]}function DU(e,t){return e*t}function Vc(e){let t=v.sizeFromShape(e),a=Math.ceil(t/4);return v.sizeToSquarishShape(a)}function Du(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function PU(e,t){let[a,n]=Du(e,t);return a*n*4}function cg(e,t){let a=e,n,r,s,i,o,l,u,p,c,d;return W().getNumber("WEBGL_VERSION")===2?(n=a.R32F,r=a.R16F,s=a.RGBA16F,i=a.RGBA32F,o=a.RED,u=4,p=1,c=a.HALF_FLOAT,d=a.FLOAT,l=a.RGBA8):(n=e.RGBA,r=e.RGBA,s=e.RGBA,i=a.RGBA,o=e.RGBA,u=4,p=4,c=t!=null?t.HALF_FLOAT_OES:null,d=e.FLOAT,l=e.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:p,textureTypeHalfFloat:c,textureTypeFloat:d}}function pe(e,t){let a=t();return W().getBool("DEBUG")&&OU(e),a}function OU(e){let t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+q6(e,t))}var zU=596e-10,LU=65504;function j6(e){return!!(W().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||e===0||zUe.getExtension(t),'Extension "'+t+'" not supported on this browser.')}function X6(e,t){let a=Er(e,()=>e.createShader(e.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(pe(e,()=>e.shaderSource(a,t)),pe(e,()=>e.compileShader(a)),e.getShaderParameter(a,e.COMPILE_STATUS)===!1)throw console.log(e.getShaderInfoLog(a)),new Error("Failed to compile vertex shader.");return a}function K6(e,t){let a=Er(e,()=>e.createShader(e.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(pe(e,()=>e.shaderSource(a,t)),pe(e,()=>e.compileShader(a)),W().get("ENGINE_COMPILE_ONLY"))return a;if(e.getShaderParameter(a,e.COMPILE_STATUS)===!1)throw hg(t,e.getShaderInfoLog(a)),new Error("Failed to compile fragment shader.");return a}var WU=/ERROR: [0-9]+:([0-9]+):/g;function hg(e,t){let a=WU.exec(t);if(a==null){console.log(`Couldn't parse line number in error: ${t}`),console.log(e);return}let n=+a[1],r=e.split(` `),s=r.length.toString().length+2,i=r.map((c,d)=>v.rightPad((d+1).toString(),s)+c),o=0;for(let c=0;ce.createProgram(),"Unable to create WebGLProgram.")}function Y7(e,t){if(ue(e,()=>e.linkProgram(t)),!V().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Ac(e,t){if(ue(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function J7(e,t){let a=Tr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ue(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),ue(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),a}function Q7(e,t){let a=Tr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ue(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,a)),ue(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),a}function sV(){return V().getNumber("WEBGL_VERSION")===2?1:4}function e6(e){return Tr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function t6(e,t){let a=V().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let n=`[${e}x${t}]`;throw new Error("Requested texture size "+n+" is invalid.")}if(e>a||t>a){let n=`[${e}x${t}]`,r=`[${a}x${a}]`;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+r+".")}}function a6(e){return Tr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function x2(e,t,a,n,r,s,i){let o=e.getAttribLocation(t,a);return o===-1?!1:(ue(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ue(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),ue(e,()=>e.enableVertexAttribArray(o)),!0)}function n6(e,t,a){l6(e,a),ue(e,()=>e.activeTexture(e.TEXTURE0+a)),ue(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function iV(e,t){l6(e,t),ue(e,()=>e.activeTexture(e.TEXTURE0+t)),ue(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function r6(e,t,a){return Tr(e,()=>e.getUniformLocation(t,a),'uniform "'+a+'" not present in program.')}function s6(e,t,a){return e.getUniformLocation(t,a)}function i6(e,t,a,n){ue(e,()=>n6(e,t,n)),ue(e,()=>e.uniform1i(a,n))}function oV(e){ue(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ue(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ue(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function bc(e,t,a){ue(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,a)),ue(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function A2(e,t){ue(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ue(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function qu(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+o6(e,t))}function o6(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Tr(e,t,a){let n=ue(e,()=>t());if(n==null)throw new Error(a);return n}function l6(e,t){let a=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+e.TEXTURE0;if(na){let r=`[gl.TEXTURE0, gl.TEXTURE${a}]`;throw new Error(`textureUnit must be in ${r}.`)}}function Hs(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function js(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function Xu(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[Hs(e),...js(e)]),t}function u6(e,t=!1){let a=V().getNumber("WEBGL_MAX_TEXTURE_SIZE"),n=V().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");n===1/0&&V().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(n=a/2),t&&(a=a*2,n=n*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=a?s=[1,r]:e.length===2&&e[0]<=a&&e[1]<=a?s=e:e.length===3&&e[0]*e[1]<=a&&e[2]<=a?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=a&&e[1]*e[2]<=a?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=a&&e[3]<=a?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=a&&e[1]*e[2]*e[3]<=a&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=Hs(e),l=2,u=2;e.length&&([l,u]=js(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function hc(e){return e%2===0}function gd(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let a=e.slice(-1)[0],n=t.slice(-1)[0];if(a===n||hc(a)&&hc(n)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&hc(e[0])&&hc(t[0])}var vc,kc;function d6(e){if(vc==null){let t=Dn(e);vc=t.getParameter(t.MAX_TEXTURE_SIZE)}return vc}function lV(){vc=null}function uV(){kc=null}function p6(e){if(kc==null){let t=Dn(e);kc=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,kc)}function c6(e){if(e===0)return 0;let t,a=Dn(e);return fn(a,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:fn(a,"EXT_disjoint_timer_query")?t=1:t=0,t}function fn(e,t){return e.getExtension(t)!=null}function b2(e){try{if(Dn(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function h6(e){if(e===0)return!1;let t=Dn(e);if(e===1){if(!fn(t,"OES_texture_float"))return!1}else if(!fn(t,"EXT_color_buffer_float"))return!1;return v2(t)}function f6(e){if(e===0)return!1;let t=Dn(e);if(e===1){if(!fn(t,"OES_texture_float")||!fn(t,"WEBGL_color_buffer_float"))return!1}else{if(fn(t,"EXT_color_buffer_float"))return v2(t);let a="EXT_color_buffer_half_float";if(fn(t,a)){let n=t.getExtension(a);return dV(t,n)}return!1}return v2(t)}function v2(e){let t=b3(e),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let n=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,n,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(s),i}function dV(e,t){let a=b3(e,t),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,a.internalFormatHalfFloat,r,s,0,a.textureFormatFloat,a.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(i),o}function m6(e){return e!==2?!1:Dn(e).fenceSync!=null}function uu(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var ve=V();ve.registerFlag("HAS_WEBGL",()=>ve.getNumber("WEBGL_VERSION")>0);ve.registerFlag("WEBGL_VERSION",()=>b2(2)?2:b2(1)?1:0);ve.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);ve.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>ve.get("WEBGL_VERSION")===2);ve.registerFlag("WEBGL_CPU_FORWARD",()=>!0);ve.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);ve.registerFlag("WEBGL_PACK",()=>ve.getBool("HAS_WEBGL"));ve.registerFlag("WEBGL_PACK_NORMALIZATION",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_CLIP",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_PACK_REDUCE",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_LAZILY_UNPACK",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_CONV_IM2COL",()=>ve.getBool("WEBGL_PACK"));ve.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>d6(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>p6(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=ve.getNumber("WEBGL_VERSION");return e===0?0:c6(e)});ve.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>ve.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Kd.isMobile());ve.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>h6(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>ve.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:ve.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));ve.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>f6(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_FENCE_API_ENABLED",()=>m6(ve.getNumber("WEBGL_VERSION")));ve.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>ve.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);ve.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});ve.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Kd.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});ve.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);ve.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);ve.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);ve.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);ve.registerFlag("WEBGL_EXP_CONV",()=>!1);ve.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>ve.getBool("IS_TEST"));ve.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);ve.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);ve.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);ve.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);function Ea(){let e,t,a,n,r,s,i,o,l,u;return V().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",a="out",n="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=V().getBool("WEBGL2_ISNAN_CUSTOM")?` +`))}function Y6(e){return Er(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function Z6(e,t){if(pe(e,()=>e.linkProgram(t)),!W().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Xc(e,t){if(pe(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function J6(e,t){let a=Er(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),pe(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),a}function Q6(e,t){let a=Er(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return pe(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,a)),pe(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),a}function BU(){return W().getNumber("WEBGL_VERSION")===2?1:4}function ev(e){return Er(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function tv(e,t){let a=W().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let n=`[${e}x${t}]`;throw new Error("Requested texture size "+n+" is invalid.")}if(e>a||t>a){let n=`[${e}x${t}]`,r=`[${a}x${a}]`;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+r+".")}}function av(e){return Er(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function v1(e,t,a,n,r,s,i){let o=e.getAttribLocation(t,a);return o===-1?!1:(pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),pe(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),pe(e,()=>e.enableVertexAttribArray(o)),!0)}function nv(e,t,a){lv(e,a),pe(e,()=>e.activeTexture(e.TEXTURE0+a)),pe(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function VU(e,t){lv(e,t),pe(e,()=>e.activeTexture(e.TEXTURE0+t)),pe(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function rv(e,t,a){return Er(e,()=>e.getUniformLocation(t,a),'uniform "'+a+'" not present in program.')}function sv(e,t,a){return e.getUniformLocation(t,a)}function iv(e,t,a,n){pe(e,()=>nv(e,t,n)),pe(e,()=>e.uniform1i(a,n))}function UU(e){pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),pe(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),pe(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function Kc(e,t,a){pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,a)),pe(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function w1(e,t){pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),pe(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function bd(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+ov(e,t))}function ov(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Er(e,t,a){let n=pe(e,()=>t());if(n==null)throw new Error(a);return n}function lv(e,t){let a=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+e.TEXTURE0;if(na){let r=`[gl.TEXTURE0, gl.TEXTURE${a}]`;throw new Error(`textureUnit must be in ${r}.`)}}function Ks(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function Ys(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function vd(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[Ks(e),...Ys(e)]),t}function uv(e,t=!1){let a=W().getNumber("WEBGL_MAX_TEXTURE_SIZE"),n=W().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");n===1/0&&W().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(n=a/2),t&&(a=a*2,n=n*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=a?s=[1,r]:e.length===2&&e[0]<=a&&e[1]<=a?s=e:e.length===3&&e[0]*e[1]<=a&&e[2]<=a?s=[e[0]*e[1],e[2]]:e.length===3&&e[0]<=a&&e[1]*e[2]<=a?s=[e[0],e[1]*e[2]]:e.length===4&&e[0]*e[1]*e[2]<=a&&e[3]<=a?s=[e[0]*e[1]*e[2],e[3]]:e.length===4&&e[0]<=a&&e[1]*e[2]*e[3]<=a&&(s=[e[0],e[1]*e[2]*e[3]]);let i=s!=null&&Math.max(...s)>n&&Math.min(...s)<=(t?2:1)&&Math.min(...s)>0;if(s==null||i)if(t){let o=Ks(e),l=2,u=2;e.length&&([l,u]=Ys(e)),r=o*(l/2)*(u/2),s=v.sizeToSquarishShape(r).map(p=>p*2)}else s=v.sizeToSquarishShape(r);return s}function Uc(e){return e%2===0}function Gd(e,t){if(e=e.slice(-2),t=t.slice(-2),v.arraysEqual(e,t)||!e.length||!t.length||e[0]===0||e[1]===0||t[0]===0||t[1]===0)return!0;if(e.length!==t.length){let a=e[e.length-1],n=t[t.length-1];if(a===n||Uc(a)&&Uc(n)&&(e[0]===1||t[0]===1))return!0}return e[1]===t[1]&&Uc(e[0])&&Uc(t[0])}var Yc,Zc;function dv(e){if(Yc==null){let t=Wn(e);Yc=t.getParameter(t.MAX_TEXTURE_SIZE)}return Yc}function GU(){Yc=null}function HU(){Zc=null}function pv(e){if(Zc==null){let t=Wn(e);Zc=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Zc)}function cv(e){if(e===0)return 0;let t,a=Wn(e);return mn(a,"EXT_disjoint_timer_query_webgl2")&&e===2?t=2:mn(a,"EXT_disjoint_timer_query")?t=1:t=0,t}function mn(e,t){return e.getExtension(t)!=null}function k1(e){try{if(Wn(e)!=null)return!0}catch(t){return console.log("Error when getting WebGL context: ",t),!1}return!1}function hv(e){if(e===0)return!1;let t=Wn(e);if(e===1){if(!mn(t,"OES_texture_float"))return!1}else if(!mn(t,"EXT_color_buffer_float"))return!1;return I1(t)}function fv(e){if(e===0)return!1;let t=Wn(e);if(e===1){if(!mn(t,"OES_texture_float")||!mn(t,"WEBGL_color_buffer_float"))return!1}else{if(mn(t,"EXT_color_buffer_float"))return I1(t);let a="EXT_color_buffer_half_float";if(mn(t,a)){let n=t.getExtension(a);return jU(t,n)}return!1}return I1(t)}function I1(e){let t=cg(e),a=e.createTexture();e.bindTexture(e.TEXTURE_2D,a);let n=1,r=1;e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,n,r,0,t.textureFormatFloat,t.textureTypeFloat,null);let s=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,s),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,a,0);let i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(a),e.deleteFramebuffer(s),i}function jU(e,t){let a=cg(e,t),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);let r=1,s=1;e.texImage2D(e.TEXTURE_2D,0,a.internalFormatHalfFloat,r,s,0,a.textureFormatFloat,a.textureTypeHalfFloat,null);let i=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,i),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);let o=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(i),o}function mv(e){return e!==2?!1:Wn(e).fenceSync!=null}function Pu(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}var Se=W();Se.registerFlag("HAS_WEBGL",()=>Se.getNumber("WEBGL_VERSION")>0);Se.registerFlag("WEBGL_VERSION",()=>k1(2)?2:k1(1)?1:0);Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);Se.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>Se.get("WEBGL_VERSION")===2);Se.registerFlag("WEBGL_CPU_FORWARD",()=>!0);Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);Se.registerFlag("WEBGL_PACK",()=>Se.getBool("HAS_WEBGL"));Se.registerFlag("WEBGL_PACK_NORMALIZATION",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_CLIP",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_REDUCE",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_LAZILY_UNPACK",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_CONV_IM2COL",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>dv(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>pv(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let e=Se.getNumber("WEBGL_VERSION");return e===0?0:cv(e)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Sp.isMobile());Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>hv(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>fv(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_FENCE_API_ENABLED",()=>mv(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${e}.`)});Se.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Sp.isMobile()?1:-1,e=>{if(e<0&&e!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${e}.`)});Se.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);Se.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);Se.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);Se.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);Se.registerFlag("WEBGL_EXP_CONV",()=>!1);Se.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>Se.getBool("IS_TEST"));Se.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);Se.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);Se.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);Se.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);function Ea(){let e,t,a,n,r,s,i,o,l,u;return W().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",a="out",n="in",r="texture",s="outputColor",i="out vec4 outputColor;",o=W().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -100,15 +100,15 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } - `),{version:e,attribute:t,varyingVs:a,varyingFs:n,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function Ao(e,t,a="index"){let n=v.computeStrides(t);return n.map((r,s)=>{let i=`int ${e[s]} = ${a} / ${r}`,o=s===n.length-1?`int ${e[s+1]} = ${a} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Rh(e,t,a="index"){let n=v.computeStrides(t);return n.map((r,s)=>{let i=`int ${e[s]} = ${a} / outShapeStrides[${s}]`,o=s===n.length-1?`int ${e[s+1]} = ${a} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function pV(e,t){let a=e.length,n=e.map(s=>`${t}[${s}]`),r=new Array(a-1);r[a-2]=n[a-1];for(let s=a-3;s>=0;--s)r[s]=`(${r[s+1]} * ${n[s+1]})`;return r}function cV(e,t,a="index"){let n=e.map((s,i)=>i),r=pV(n,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${a} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${a} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function k3(e){let t=v.computeStrides(e).map(a=>a.toString());return` + `),{version:e,attribute:t,varyingVs:a,varyingFs:n,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function jo(e,t,a="index"){let n=v.computeStrides(t);return n.map((r,s)=>{let i=`int ${e[s]} = ${a} / ${r}`,o=s===n.length-1?`int ${e[s+1]} = ${a} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Jh(e,t,a="index"){let n=v.computeStrides(t);return n.map((r,s)=>{let i=`int ${e[s]} = ${a} / outShapeStrides[${s}]`,o=s===n.length-1?`int ${e[s+1]} = ${a} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function qU(e,t){let a=e.length,n=e.map(s=>`${t}[${s}]`),r=new Array(a-1);r[a-2]=n[a-1];for(let s=a-3;s>=0;--s)r[s]=`(${r[s+1]} * ${n[s+1]})`;return r}function XU(e,t,a="index"){let n=e.map((s,i)=>i),r=qU(n,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${a} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${a} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function fg(e){let t=v.computeStrides(e).map(a=>a.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z; } -`}function w3(){return` +`}function mg(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } -`}var g6=` +`}var gv=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -147,22 +147,22 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return c / 255.0; } -`,{getBroadcastDims:y6}=T;function hV(e,t,a){let n=[];if(e.forEach(d=>{let h=v.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?n.push(`uniform float ${d.name}${h>1?`[${h}]`:""};`):(n.push(`uniform sampler2D ${d.name};`),n.push(`uniform int offset${d.name};`)),a.enableShapeUniforms){let{uniformShape:f}=I3(a.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(f.length){case 1:n.push(`uniform int ${d.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${d.name}TexShape;`)}}),a.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}a.customUniforms&&a.customUniforms.forEach(d=>{n.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:""};`)});let r=n.join(` -`),s=e.map(d=>fV(d,t,a.packedInputs,a.enableShapeUniforms)).join(` -`),i=t.texShape,o=Ea(),l=yV(o),u,p,c=bV(o);return t.isPacked?(u=mV(t.logicalShape,i,a.enableShapeUniforms),p=AV(o)):(u=gV(t.logicalShape,i,a.enableShapeUniforms),p=xV(o)),a.packedInputs&&(c+=IV),[c,l,p,r,u,s,a.userCode].join(` -`)}function du(e,t=!1){let a=e.shapeInfo.logicalShape;switch(a.length){case 0:return OV(e,t);case 1:return zV(e,t);case 2:return BV(e,t);case 3:return VV(e,t);case 4:return GV(e,t);case 5:return HV(e);case 6:return jV(e);default:throw new Error(`${a.length}-D input sampling is not yet supported`)}}function x6(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return FV(e);case 1:return DV(e,t);case 2:return LV(e,t);case 3:return WV(e,t);default:return UV(e,t)}}function fV(e,t,a=!1,n){let r="";a?r+=x6(e,n):r+=du(e,n);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(a?r+=qV(e,t):r+=XV(e,t)),r}function mV(e,t,a){switch(e.length){case 0:return A6();case 1:return SV(e,t,a);case 2:return _V(e,t,a);case 3:return CV(e,t,a);default:return EV(e,t,a)}}function gV(e,t,a){switch(e.length){case 0:return A6();case 1:return TV(e,t,a);case 2:return PV(e,t,a);case 3:return NV(e,t,a);case 4:return RV(e,t,a);case 5:return MV(e,t);case 6:return $V(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function yV(e){return` +`,{getBroadcastDims:yv}=S;function KU(e,t,a){let n=[];if(e.forEach(d=>{let h=v.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?n.push(`uniform float ${d.name}${h>1?`[${h}]`:""};`):(n.push(`uniform sampler2D ${d.name};`),n.push(`uniform int offset${d.name};`)),a.enableShapeUniforms){let{uniformShape:f}=gg(a.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(f.length){case 1:n.push(`uniform int ${d.name}Shape;`);break;case 2:n.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:n.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:n.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}n.push(`uniform ivec2 ${d.name}TexShape;`)}}),a.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}a.customUniforms&&a.customUniforms.forEach(d=>{n.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:""};`)});let r=n.join(` +`),s=e.map(d=>YU(d,t,a.packedInputs,a.enableShapeUniforms)).join(` +`),i=t.texShape,o=Ea(),l=QU(o),u,p,c=aG(o);return t.isPacked?(u=ZU(t.logicalShape,i,a.enableShapeUniforms),p=tG(o)):(u=JU(t.logicalShape,i,a.enableShapeUniforms),p=eG(o)),a.packedInputs&&(c+=iG),[c,l,p,r,u,s,a.userCode].join(` +`)}function Ou(e,t=!1){let a=e.shapeInfo.logicalShape;switch(a.length){case 0:return xG(e,t);case 1:return bG(e,t);case 2:return wG(e,t);case 3:return IG(e,t);case 4:return CG(e,t);case 5:return TG(e);case 6:return NG(e);default:throw new Error(`${a.length}-D input sampling is not yet supported`)}}function xv(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return yG(e);case 1:return AG(e,t);case 2:return vG(e,t);case 3:return kG(e,t);default:return SG(e,t)}}function YU(e,t,a=!1,n){let r="";a?r+=xv(e,n):r+=Ou(e,n);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(a?r+=RG(e,t):r+=EG(e,t)),r}function ZU(e,t,a){switch(e.length){case 0:return Av();case 1:return oG(e,t,a);case 2:return mG(e,t,a);case 3:return uG(e,t,a);default:return pG(e,t,a)}}function JU(e,t,a){switch(e.length){case 0:return Av();case 1:return lG(e,t,a);case 2:return gG(e,t,a);case 3:return dG(e,t,a);case 4:return cG(e,t,a);case 5:return hG(e,t);case 6:return fG(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function QU(e){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${e.texture2D}(textureSampler, uv).r; } - `}function xV(e){return` + `}function eG(e){return` void setOutput(float val) { ${e.output} = vec4(val, 0, 0, 0); } - `}function AV(e){return` + `}function tG(e){return` void setOutput(vec4 val) { ${e.output} = val; } - `}function bV(e){return`${e.version} + `}function aG(e){return`${e.version} precision highp float; precision highp int; precision highp sampler2D; @@ -217,10 +217,10 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return fract((p3.x + p3.y) * p3.z); } - ${vV} - ${kV} - ${wV} - `}var vV=` + ${nG} + ${rG} + ${sG} + `}var nG=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -232,7 +232,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,kV=` +`,rG=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -240,7 +240,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,wV=` +`,sG=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -249,7 +249,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,IV=` +`,iG=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -260,11 +260,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } -`;function A6(){return` +`;function Av(){return` int getOutputCoords() { return 0; } - `}function SV(e,t,a){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?a?` + `}function oG(e,t,a){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?a?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } @@ -293,7 +293,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${n[0]}, ${n[1]})); return 2 * (resTexRC.x * ${n[1]} + resTexRC.y); } - `}function TV(e,t,a){return t[0]===1?a?` + `}function lG(e,t,a){return t[0]===1?a?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } @@ -321,7 +321,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${t[0]}, ${t[1]})); return resTexRC.x * ${t[1]} + resTexRC.y; } - `}function CV(e,t,a){if(a)return` + `}function uG(e,t,a){if(a)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); @@ -352,15 +352,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec3(b, r, c); } - `}function NV(e,t,a){if(a)return` + `}function dG(e,t,a){if(a)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Rh(["r","c","d"],e)} + ${Jh(["r","c","d"],e)} return ivec3(r, c, d); } -`;let n=Ao(["r","c","d"],e);return` +`;let n=jo(["r","c","d"],e);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -368,7 +368,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${n} return ivec3(r, c, d); } - `}function EV(e,t,a){if(a)return` + `}function pG(e,t,a){if(a)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * @@ -409,15 +409,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec${e.length}(${l}); } - `}function RV(e,t,a){if(a)return` + `}function cG(e,t,a){if(a)return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Rh(["r","c","d","d2"],e)} + ${Jh(["r","c","d","d2"],e)} return ivec4(r, c, d, d2); } - `;let n=Ao(["r","c","d","d2"],e);return` + `;let n=jo(["r","c","d","d2"],e);return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -425,7 +425,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${n} return ivec4(r, c, d, d2); } - `}function MV(e,t){let a=Ao(["r","c","d","d2","d3"],e);return` + `}function hG(e,t){let a=jo(["r","c","d","d2","d3"],e);return` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -437,7 +437,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec5 outShape = ivec5(r, c, d, d2, d3); return outShape; } - `}function $V(e,t){let a=Ao(["r","c","d","d2","d3","d4"],e);return` + `}function fG(e,t){let a=jo(["r","c","d","d2","d3","d4"],e);return` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); @@ -448,7 +448,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec6 result = ivec6(r, c, d, d2, d3, d4); return result; } - `}function _V(e,t,a){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return a?` + `}function mG(e,t,a){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return a?` ivec2 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); @@ -481,7 +481,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec2(r, c); } - `}function PV(e,t,a){return v.arraysEqual(e,t)?a?` + `}function gG(e,t,a){return v.arraysEqual(e,t)?a?` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); } @@ -535,15 +535,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int c = index - r * ${e[1]}; return ivec2(r, c); } - `}function bo(e){return`offset${e}`}function FV(e){let t=e.name,a="get"+t.charAt(0).toUpperCase()+t.slice(1),n=Ea();return` + `}function qo(e){return`offset${e}`}function yG(e){let t=e.name,a="get"+t.charAt(0).toUpperCase()+t.slice(1),n=Ea();return` vec4 ${a}() { return ${n.texture2D}(${t}, halfCR); } - `}function OV(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1);if(e.shapeInfo.isUniform)return`float ${n}() {return ${a};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` + `}function xG(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1);if(e.shapeInfo.isUniform)return`float ${n}() {return ${a};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return` float ${n}() { return sampleTexture(${a}, halfCR); } - `;let i=bo(a);if(t)return` + `;let i=qo(a);if(t)return` float ${n}() { vec2 uv = uvFromFlat(${a}TexShape[0], ${a}TexShape[1], ${i}); return sampleTexture(${a}, uv); @@ -553,7 +553,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${o}, ${l}, ${i}); return sampleTexture(${a}, uv); } - `}function DV(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1),r=e.shapeInfo.texShape,s=Ea();if(t)return` + `}function AG(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1),r=e.shapeInfo.texShape,s=Ea();if(t)return` vec4 ${n}(int index) { ivec2 packedTexShape = ivec2(ceil(float(${a}TexShape[0]) / 2.0), ceil(float(${a}TexShape[1]) / 2.0)); vec2 uv = packedUVfrom1D( @@ -566,15 +566,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${i[0]}, ${i[1]}, index); return ${s.texture2D}(${a}, uv); } - `}function zV(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1);if(e.shapeInfo.isUniform)return` + `}function bG(e,t){let a=e.name,n="get"+a.charAt(0).toUpperCase()+a.slice(1);if(e.shapeInfo.isUniform)return` float ${n}(int index) { - ${pu(e)} + ${zu(e)} } `;let r=e.shapeInfo.texShape,s=r[0],i=r[1];if(i===1&&s===1)return` float ${n}(int index) { return sampleTexture(${a}, halfCR); } - `;let o=bo(a);return i===1?t?` + `;let o=qo(a);return i===1?t?` float ${n}(int index) { vec2 uv = vec2(0.5, (float(index + ${o}) + 0.5) / float(${a}TexShape[0])); return sampleTexture(${a}, uv); @@ -604,7 +604,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${s}, ${i}, index + ${o}); return sampleTexture(${a}, uv); } - `}function LV(e,t){let a=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Ea();if(s!=null&&v.arraysEqual(a,s))return t?` + `}function vG(e,t){let a=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Ea();if(s!=null&&v.arraysEqual(a,s))return t?` vec4 ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${n}TexShape[1], ${n}TexShape[0]); @@ -628,7 +628,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = packedUVfrom2D(${p}, ${u[0]}, ${u[1]}, row, col); return ${l.texture2D}(${n}, uv); } - `}function BV(e,t){let a=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(a,s)){if(t)return` + `}function wG(e,t){let a=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(a,s)){if(t)return` float ${r}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${n}TexShape[1], ${n}TexShape[0]); return sampleTexture(${n}, uv); @@ -638,17 +638,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = (vec2(col, row) + halfCR) / vec2(${h}.0, ${d}.0); return sampleTexture(${n}, uv); } - `}let{newShape:i,keptDims:o}=v.squeezeShape(a),l=i;if(l.length=1?p="coords = 0;":p=o.map(g=>`coords.${c[g+u]} = 0;`).join(` + `}function RG(e,t){let a=e.name,n=a.charAt(0).toUpperCase()+a.slice(1),r="get"+n+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=yv(e.shapeInfo.logicalShape,t.logicalShape),l=ft(i),u=i-s,p,c=["x","y","z","w","u","v"];s===0?p="":i<2&&o.length>=1?p="coords = 0;":p=o.map(g=>`coords.${c[g+u]} = 0;`).join(` `);let d="";i<2&&s>0?d="coords":d=e.shapeInfo.logicalShape.map((g,y)=>`coords.${c[y+u]}`).join(", ");let h="return outputValue;",f=v.sizeFromShape(e.shapeInfo.logicalShape)===1,m=v.sizeFromShape(t.logicalShape)===1;if(s===1&&!f&&!m)h=` return vec4(outputValue.xy, outputValue.xy); `;else if(f&&!m)i===1?h=` @@ -965,20 +965,20 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec4 outputValue = get${n}(${d}); ${h} } - `}function XV(e,t){let a=e.name,n=a.charAt(0).toUpperCase()+a.slice(1),r="get"+n+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` + `}function EG(e,t){let a=e.name,n=a.charAt(0).toUpperCase()+a.slice(1),r="get"+n+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return` float ${r}() { return sampleTexture(${a}, resultUV); } - `;let u=gt(l),p=y6(e.shapeInfo.logicalShape,t.logicalShape),c=l-o,d,h=["x","y","z","w","u","v"];o===0?d="":l<2&&p.length>=1?d="coords = 0;":d=p.map(m=>`coords.${h[m+c]} = 0;`).join(` + `;let u=ft(l),p=yv(e.shapeInfo.logicalShape,t.logicalShape),c=l-o,d,h=["x","y","z","w","u","v"];o===0?d="":l<2&&p.length>=1?d="coords = 0;":d=p.map(m=>`coords.${h[m+c]} = 0;`).join(` `);let f="";return l<2&&o>0?f="coords":f=e.shapeInfo.logicalShape.map((m,g)=>`coords.${h[g+c]}`).join(", "),` float ${r}() { ${u} coords = getOutputCoords(); ${d} return get${n}(${f}); } - `}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function I3(e,t,a){let{newShape:n,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):n,l=!e&&s>1&&!v.arraysEqual(t,a)&&n.lengthe[a]).join(", ")}function KV(e,t,a,n){let r=a.map((p,c)=>{let d={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(d.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[c],shapeInfo:d}}),s=r.map(p=>p.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},o=hV(r,i,t),l=K7(e.gl,o),u=e.createProgram(l);return V().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},b6(e,t,u))}function b6(e,t,a){let n={},r={},s={},i=[],o,l,u,p=null,c=null;c=e.getUniformLocation(a,"NAN",!1),V().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(a,"INFINITY",!1));let d=!1;for(let h=0;h{i[f]=e.getUniformLocation(a,h.name,d)}),{uniformLocations:n,customUniformLocations:i,infLoc:p,nanLoc:c,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function uy(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((a,n)=>{let r=a.logicalShape,s=t[n],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(a.isUniform&&s.isUniform)return;let o=a.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function ZV(e,t,a,n,r){t.program.enableShapeUniforms||(uy(t.inShapeInfos,a),uy([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),V().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),a.forEach((l,u)=>{let p=t.program.variableNames[u],c=t.uniformLocations[p],d=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],f=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:m}=I3(t.program.packedInputs,l.shape,l.texData.texShape);switch(m.length){case 1:e.gl.uniform1iv(h,new Int32Array(m));break;case 2:e.gl.uniform2iv(h,new Int32Array(m));break;case 3:e.gl.uniform3iv(h,new Int32Array(m));break;case 4:e.gl.uniform4iv(h,new Int32Array(m));break;default:break}}if(f&&e.gl.uniform2i(f,l.texData.texShape[0],l.texData.texShape[1]),c!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(c,l.uniformValues[0]);else{let m=l.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),e.gl.uniform1fv(c,m)}return}l.texData.slice!=null&&d!=null&&e.gl.uniform1i(d,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture.texture,c,u)}});let o=t.outShapeLocation;if(o)switch(n.shape.length){case 1:e.gl.uniform1iv(o,new Int32Array(n.shape));break;case 2:e.gl.uniform2iv(o,new Int32Array(n.shape));break;case 3:e.gl.uniform3iv(o,new Int32Array(n.shape));break;case 4:e.gl.uniform4iv(o,new Int32Array(n.shape));break;default:break}if(t.outShapeStridesLocation){let l=v.computeStrides(n.shape);switch(n.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(l));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(l));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(l));break;default:break}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,n.texData.texShape[0],n.texData.texShape[1]),t.program.customUniforms&&r&&t.program.customUniforms.forEach((l,u)=>{let p=t.customUniformLocations[u],c=r[u];if(l.type==="float")e.gl.uniform1fv(p,c);else if(l.type==="vec2")e.gl.uniform2fv(p,c);else if(l.type==="vec3")e.gl.uniform3fv(p,c);else if(l.type==="vec4")e.gl.uniform4fv(p,c);else if(l.type==="int")e.gl.uniform1iv(p,c);else if(l.type==="ivec2")e.gl.uniform2iv(p,c);else if(l.type==="ivec3")e.gl.uniform3iv(p,c);else if(l.type==="ivec4")e.gl.uniform4iv(p,c);else throw Error(`uniform type ${l.type} is not supported yet.`)}),e.executeProgram()}function YV(e,t,a){let n="";t.concat(a).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:c}=I3(e.packedInputs,i.shape,l),d="",h="",f="";if(p.length===1&&e.packedInputs){let k=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];d=`${k[0]>1}_${k[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let k=v.computeStrides(p);f=`${k[0]===l[1]}_${k[k.length-1]===l[1]}`}let m=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),y=v.sizeFromShape(i.shape)===1,x=T.getBroadcastDims(i.shape,a.shape),A=!e.packedInputs&&m===a.shape.length&&v.arraysEqual(l,a.texData.texShape),b=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;n+=`${m}_${A}_${u?c:""}_${p.length}_${y}_${x}_${g}_${d}_${h}_${f}_${b}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;n+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+n+"_"+r+`${V().getNumber("WEBGL_VERSION")}`,s}function Ra(e){return V().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var JV=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=md.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Ea();this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length),this.userCode=` + `}function ft(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function gg(e,t,a){let{newShape:n,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):n,l=!e&&s>1&&!v.arraysEqual(t,a)&&n.lengthe[a]).join(", ")}function MG(e,t,a,n){let r=a.map((p,c)=>{let d={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(d.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[c],shapeInfo:d}}),s=r.map(p=>p.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},o=KU(r,i,t),l=K6(e.gl,o),u=e.createProgram(l);return W().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(e.buildVao(u),Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},bv(e,t,u)))}function bv(e,t,a){let n=[],r=[],s,i,o,l=null,u=null;u=e.getUniformLocation(a,"NAN",!1),W().getNumber("WEBGL_VERSION")===1&&(l=e.getUniformLocation(a,"INFINITY",!1));let p=!1;for(let c of t.variableNames){let d={name:c,uniform:e.getUniformLocation(a,c,p),offset:e.getUniformLocation(a,`offset${c}`,p)};t.enableShapeUniforms&&(d.shape=e.getUniformLocation(a,`${c}Shape`,p),d.texShape=e.getUniformLocation(a,`${c}TexShape`,p)),n.push(d)}if(t.enableShapeUniforms&&(s=e.getUniformLocation(a,"outShape",p),o=e.getUniformLocation(a,"outShapeStrides",p),i=e.getUniformLocation(a,"outTexShape",p)),t.customUniforms)for(let c of t.customUniforms)r.push(e.getUniformLocation(a,c.name,p));return{variablesLocations:n,customUniformLocations:r,infLoc:l,nanLoc:u,outShapeLocation:s,outShapeStridesLocation:o,outTexShapeLocation:i}}function nx(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((a,n)=>{let r=a.logicalShape,s=t[n],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(a.isUniform&&s.isUniform)return;let o=a.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function FG(e,t,a,n,r){t.program.enableShapeUniforms||(nx(t.inShapeInfos,a),nx([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),e.bindVertexArray(t.webGLProgram.vao),W().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN);for(let l=0;l{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!i.isUniform){let l=i.texData.texShape,{useSqueezeShape:u,uniformShape:p,keptDims:c}=gg(e.packedInputs,i.shape,l),d="",h="",f="";if(p.length===1&&e.packedInputs){let w=[Math.ceil(l[0]/2),Math.ceil(l[1]/2)];d=`${w[0]>1}_${w[1]>1}`}else if(p.length===2&&!e.packedInputs)h=`${p[0]>1}_${p[1]>1}`;else if(p.length>2&&!e.packedInputs){let w=v.computeStrides(p);f=`${w[0]===l[1]}_${w[w.length-1]===l[1]}`}let m=i.shape.length,g=p.length===2&&v.arraysEqual(i.shape,l),y=v.sizeFromShape(i.shape)===1,x=S.getBroadcastDims(i.shape,a.shape),A=!e.packedInputs&&m===a.shape.length&&v.arraysEqual(l,a.texData.texShape),b=e.packedInputs||p.length>2?"":`${l[0]>1}_${l[1]>1}`;n+=`${m}_${A}_${u?c:""}_${p.length}_${y}_${x}_${g}_${d}_${h}_${f}_${b}_${o}`}else{let l=i.isUniform?"uniform":i.texData.texShape;n+=`${i.shape}_${l}_${o}`}});let r=e.userCode,s=e.constructor.name;return s+="_"+n+"_"+r+`${W().getNumber("WEBGL_VERSION")}`,s}function ya(e){return W().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var $G=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Ud.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Ea();this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Rh(["r","c","d"],e):Ao(["r","c","d"],e)} + ${this.enableShapeUniforms?Jh(["r","c","d"],e):jo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -996,9 +996,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},QV=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=md.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Ea();this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length),this.userCode=` + `}},DG=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Ud.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Ea();this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Rh(["r","c","d"],e):Ao(["r","c","d"],e)} + ${this.enableShapeUniforms?Jh(["r","c","d"],e):jo(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1016,26 +1016,26 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}},eU=class{constructor(e){this.variableNames=["A"],this.outTexUsage=hn.DOWNLOAD;let t=Ea();this.outputShape=e,this.userCode=` - ${g6} + `}},PG=class{constructor(e){this.variableNames=["A"],this.outTexUsage=fn.DOWNLOAD;let t=Ea();this.outputShape=e,this.userCode=` + ${gv} void main() { float x = getAAtOutCoords(); ${t.output} = encode_float(x); } - `}},tU=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=hn.DOWNLOAD;let t=Ea();this.outputShape=e,this.userCode=` - ${g6} + `}},OG=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=fn.DOWNLOAD;let t=Ea();this.outputShape=e,this.userCode=` + ${gv} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${t.output} = encode_float(x); } - `}},aU={R:0,G:1,B:2,A:3},dy=class{constructor(e,t=!1,a="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Ea();this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length);let r="result";t&&(r="floor(result * 255. + 0.5)");let s="";for(let i=0;iR6,createBufferFromOutputTexture:()=>_6,createFloat16MatrixTexture:()=>T6,createFloat16PackedMatrixTexture:()=>E6,createFloat32MatrixTexture:()=>S6,createIndexBuffer:()=>I6,createPackedMatrixTexture:()=>N6,createUnsignedBytesMatrixTexture:()=>C6,createVertexBuffer:()=>w6,createVertexShader:()=>k6,downloadByteEncodedFloatMatrixFromOutputTexture:()=>F6,downloadFloat32MatrixFromBuffer:()=>P6,downloadMatrixFromPackedOutputTexture:()=>D6,downloadPackedMatrixFromBuffer:()=>O6,getInternalFormatForFloat16MatrixTexture:()=>T3,getInternalFormatForFloat16PackedMatrixTexture:()=>E3,getInternalFormatForFloat32MatrixTexture:()=>S3,getInternalFormatForPackedMatrixTexture:()=>N3,getInternalFormatForUnsignedBytesMatrixTexture:()=>C3,uploadDenseMatrixToTexture:()=>M6,uploadPixelDataToTexture:()=>$6});function k6(e){let t=Ea(),a=`${t.version} + `}},vv={};Ze(vv,{bindVertexProgramAttributeStreams:()=>Ev,createBufferFromOutputTexture:()=>_v,createFloat16MatrixTexture:()=>Cv,createFloat16PackedMatrixTexture:()=>Rv,createFloat32MatrixTexture:()=>Sv,createIndexBuffer:()=>Iv,createPackedMatrixTexture:()=>Nv,createUnsignedBytesMatrixTexture:()=>Tv,createVertexBuffer:()=>kv,createVertexShader:()=>wv,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Dv,downloadFloat32MatrixFromBuffer:()=>$v,downloadMatrixFromPackedOutputTexture:()=>Ov,downloadPackedMatrixFromBuffer:()=>Pv,getInternalFormatForFloat16MatrixTexture:()=>xg,getInternalFormatForFloat16PackedMatrixTexture:()=>vg,getInternalFormatForFloat32MatrixTexture:()=>yg,getInternalFormatForPackedMatrixTexture:()=>bg,getInternalFormatForUnsignedBytesMatrixTexture:()=>Ag,uploadDenseMatrixToTexture:()=>Mv,uploadPixelDataToTexture:()=>Fv});function wv(e){let t=Ea(),a=`${t.version} precision highp float; ${t.attribute} vec3 clipSpacePos; ${t.attribute} vec2 uv; @@ -1107,11 +1107,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, void main() { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; - }`;return X7(e,a)}function w6(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return J7(e,t)}function I6(e){let t=new Uint16Array([0,1,2,2,1,3]);return Q7(e,t)}function cp(e,t,a,n,r,s){t6(t,a);let i=e6(e),o=e.TEXTURE_2D;return ue(e,()=>e.bindTexture(o,i)),ue(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ue(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ue(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),ue(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),V().getNumber("WEBGL_VERSION")===1?ue(e,()=>e.texImage2D(o,0,n,t,a,0,r,s,null)):ue(e,()=>e.texStorage2D(o,1,n,t,a)),ue(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[a,t]}}function S3(e){return e.internalFormatFloat}function S6(e,t,a,n){let[r,s]=pp(t,a);return cp(e,r,s,S3(n),n.textureFormatFloat,e.FLOAT)}function T3(e){return e.internalFormatHalfFloat}function T6(e,t,a,n){let[r,s]=pp(t,a);return cp(e,r,s,T3(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function C3(e){return e.downloadTextureFormat}function C6(e,t,a,n){let[r,s]=pp(t,a);return cp(e,r,s,C3(n),e.RGBA,e.UNSIGNED_BYTE)}function N3(e){return e.internalFormatPackedFloat}function N6(e,t,a,n){let[r,s]=lu(t,a);return cp(e,r,s,N3(n),e.RGBA,e.FLOAT)}function E3(e){return e.internalFormatPackedHalfFloat}function E6(e,t,a,n){let[r,s]=lu(t,a);return cp(e,r,s,E3(n),e.RGBA,n.textureTypeHalfFloat)}function R6(e,t,a){return ue(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),x2(e,t,"clipSpacePos",a,3,20,0)&&x2(e,t,"uv",a,2,20,12)}function M6(e,t,a,n,r,s){ue(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(a*n*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(a*n*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),V().getNumber("WEBGL_VERSION")===2?ue(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,a,n,e.RGBA,o,i)):ue(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,a,n,0,e.RGBA,o,i)),ue(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function $6(e,t,a){ue(e,()=>e.bindTexture(e.TEXTURE_2D,t)),a.data instanceof Uint8Array?V().getNumber("WEBGL_VERSION")===2?ue(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,a.width,a.height,e.RGBA,e.UNSIGNED_BYTE,a.data)):ue(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,a.width,a.height,0,e.RGBA,e.UNSIGNED_BYTE,a.data)):V().getNumber("WEBGL_VERSION")===2?ue(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,a)):ue(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,a)),ue(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function _6(e,t,a,n){let r=e.createBuffer();ue(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*a;return ue(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),ue(e,()=>e.readPixels(0,0,a,t,e.RGBA,e.FLOAT,0)),ue(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function P6(e,t,a){let n=e,r=new Float32Array(a);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,r),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),r}function F6(e,t,a,n){let[r,s]=pp(t,a),i=4,o=new Uint8Array(QW(t*a,i));return ue(e,()=>e.readPixels(0,0,r,s,n.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function O6(e,t,a,n,r,s,i,o){let l=e,u=new Float32Array(eV(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function D6(e,t,a){let n=new Float32Array(t*a*4);return ue(e,()=>e.readPixels(0,0,a,t,e.RGBA,e.FLOAT,n)),n}var sl=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=V().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,Eh(t,e)):this.gl=Dn(t),e=this.gl,V().getNumber("WEBGL_VERSION")===2){let r=e;this.createVertexArray=()=>ue(r,()=>r.createVertexArray()),this.bindVertexArray=s=>ue(r,()=>r.bindVertexArray(s)),this.deleteVertexArray=s=>ue(r,()=>r.deleteVertexArray(s)),this.getVertexArray=()=>ue(r,()=>r.getParameter(r.VERTEX_ARRAY_BINDING))}else if(e!=null){let r=e.getExtension("OES_vertex_array_object");if(r==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>ue(e,()=>r.createVertexArrayOES()),this.bindVertexArray=s=>ue(e,()=>r.bindVertexArrayOES(s)),this.deleteVertexArray=s=>ue(e,()=>r.deleteVertexArrayOES(s)),this.getVertexArray=()=>ue(e,()=>e.getParameter(r.VERTEX_ARRAY_BINDING_OES))}let a="WEBGL_color_buffer_float",n="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),V().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=ju(this.gl,r),fn(this.gl,s))this.textureHalfFloatExtension=ju(this.gl,s);else if(V().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(a),fn(this.gl,n))this.colorBufferHalfFloatExtension=ju(this.gl,n);else if(V().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(a="EXT_color_buffer_float",fn(this.gl,a))this.colorBufferFloatExtension=this.gl.getExtension(a);else if(fn(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=w6(this.gl),this.indexBuffer=I6(this.gl),this.framebuffer=a6(this.gl),this.textureConfig=b3(this.gl,this.textureHalfFloatExtension)}get debug(){return V().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;ue(e,()=>e.finish()),ue(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ue(e,()=>e.deleteFramebuffer(this.framebuffer)),ue(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),ue(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),ue(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),S6(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),T6(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),C6(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),$6(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,a,n){this.throwIfDisposed(),M6(this.gl,e,t,a,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),E6(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),N6(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(A2(this.gl,this.framebuffer),this.outputTexture=null),ue(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,a){return this.downloadMatrixDriver(e,()=>F6(this.gl,t,a,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,a,n,r,s){return O6(this.gl,e,t,a,n,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return P6(this.gl,e,t)}createBufferFromTexture(e,t,a){this.bindTextureToFrameBuffer(e);let n=_6(this.gl,t,a,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,a;if(V().getBool("WEBGL_FENCE_API_ENABLED")){let n=e,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),a=()=>{let s=n.clientWaitSync(r,0,0);return s===n.ALREADY_SIGNALED||s===n.CONDITION_SATISFIED},t=r}else V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),a=()=>this.isQueryAvailable(t,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):a=()=>!0;return{query:t,isFencePassed:a}}downloadMatrixFromPackedTexture(e,t,a){return this.downloadMatrixDriver(e,()=>D6(this.gl,t,a))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=k6(t));let a=Z7(t);ue(t,()=>t.attachShader(a,this.vertexShader)),ue(t,()=>t.attachShader(a,e)),Y7(t,a);let n;return n=Object.assign(a,{vao:this.createVertexArray()}),this.bindVertexArray(n.vao),ue(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),console.assert(R6(t,n,this.vertexBuffer),"gpgpu_util.bindVertexProgramAttributeStreams not fully successful."),this.debug&&Ac(t,n),this.setProgram(n),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(ue(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&(this.bindVertexArray(this.program.vao),this.debug&&Ac(this.gl,this.program)),ue(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,a=!0){return this.throwIfDisposed(),a?r6(this.gl,e,t):s6(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),ue(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,a){this.throwIfDisposed(),this.throwIfNoProgram(),i6(this.gl,e,t,a)}setOutputMatrixTexture(e,t,a){this.setOutputMatrixTextureDriver(e,a,t)}setOutputPackedMatrixTexture(e,t,a){this.throwIfDisposed();let[n,r]=lu(t,a);this.setOutputMatrixTextureDriver(e,n,r)}setOutputMatrixWriteRegion(e,t,a,n){this.setOutputMatrixWriteRegionDriver(a,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,a,n){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&Ac(this.gl,this.program),qu(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}ue(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ue(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=ju(this.gl,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let a=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=a.createQuery();return a.beginQuery(n.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,a=this.getQueryTimerExtensionWebGL2();t.endQuery(a.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let a=this.gl;return a.getQueryParameter(e,a.QUERY_RESULT)/1e6}else{let a=this.getQueryTimerExtensionWebGL1();return a.getQueryObjectEXT(e,a.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let a=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=a.getQueryParameter(e,a.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let a=this.getQueryTimerExtensionWebGL1(),n=a.getQueryObjectEXT(e,a.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=rU(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:a}=this.itemsToPoll[t];a()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let a;"setTimeoutCustom"in V().platform&&(a=V().platform.setTimeoutCustom.bind(V().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,a)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),bc(this.gl,e,this.framebuffer),this.debug&&qu(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(bc(this.gl,this.outputTexture,this.framebuffer),this.debug&&qu(this.gl)):A2(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let a=t();return this.unbindTextureToFrameBuffer(),a}setOutputMatrixTextureDriver(e,t,a){this.throwIfDisposed();let n=this.gl;bc(n,e,this.framebuffer),this.debug&&qu(n),this.outputTexture=e,ue(n,()=>n.viewport(0,0,t,a)),ue(n,()=>n.scissor(0,0,t,a))}setOutputMatrixWriteRegionDriver(e,t,a,n){this.throwIfDisposed(),ue(this.gl,()=>this.gl.scissor(e,t,a,n))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function rU(e){let t=0;for(;t`${e}.${a}`)}function wa(e,t){return t===1?[e]:W6(e,t)}function XU(e,t){if(e===1)return"rc";let a="";for(let n=0;ne.bindTexture(o,i)),pe(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),pe(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),pe(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),pe(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),W().getNumber("WEBGL_VERSION")===1?pe(e,()=>e.texImage2D(o,0,n,t,a,0,r,s,null)):pe(e,()=>e.texStorage2D(o,1,n,t,a)),pe(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[a,t]}}function yg(e){return e.internalFormatFloat}function Sv(e,t,a,n){let[r,s]=Bp(t,a);return Vp(e,r,s,yg(n),n.textureFormatFloat,e.FLOAT)}function xg(e){return e.internalFormatHalfFloat}function Cv(e,t,a,n){let[r,s]=Bp(t,a);return Vp(e,r,s,xg(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Ag(e){return e.downloadTextureFormat}function Tv(e,t,a,n){let[r,s]=Bp(t,a);return Vp(e,r,s,Ag(n),e.RGBA,e.UNSIGNED_BYTE)}function bg(e){return e.internalFormatPackedFloat}function Nv(e,t,a,n){let[r,s]=Du(t,a);return Vp(e,r,s,bg(n),e.RGBA,e.FLOAT)}function vg(e){return e.internalFormatPackedHalfFloat}function Rv(e,t,a,n){let[r,s]=Du(t,a);return Vp(e,r,s,vg(n),e.RGBA,n.textureTypeHalfFloat)}function Ev(e,t,a){return pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),v1(e,t,"clipSpacePos",a,3,20,0)&&v1(e,t,"uv",a,2,20,12)}function Mv(e,t,a,n,r,s){pe(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(a*n*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(a*n*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),W().getNumber("WEBGL_VERSION")===2?pe(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,a,n,e.RGBA,o,i)):pe(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,a,n,0,e.RGBA,o,i)),pe(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Fv(e,t,a){pe(e,()=>e.bindTexture(e.TEXTURE_2D,t)),a.data instanceof Uint8Array?W().getNumber("WEBGL_VERSION")===2?pe(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,a.width,a.height,e.RGBA,e.UNSIGNED_BYTE,a.data)):pe(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,a.width,a.height,0,e.RGBA,e.UNSIGNED_BYTE,a.data)):W().getNumber("WEBGL_VERSION")===2?pe(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,a)):pe(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,a)),pe(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function _v(e,t,a,n){let r=e.createBuffer();pe(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*a;return pe(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),pe(e,()=>e.readPixels(0,0,a,t,e.RGBA,e.FLOAT,0)),pe(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function $v(e,t,a){let n=e,r=new Float32Array(a);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,r),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),r}function Dv(e,t,a,n){let[r,s]=Bp(t,a),i=4,o=new Uint8Array(DU(t*a,i));return pe(e,()=>e.readPixels(0,0,r,s,n.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function Pv(e,t,a,n,r,s,i,o){let l=e,u=new Float32Array(PU(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function Ov(e,t,a){let n=new Float32Array(t*a*4);return pe(e,()=>e.readPixels(0,0,a,t,e.RGBA,e.FLOAT,n)),n}var _l=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=W().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,Zh(t,e)):this.gl=Wn(t),e=this.gl,W().getNumber("WEBGL_VERSION")===2){let r=e;this.createVertexArray=()=>pe(r,()=>r.createVertexArray()),this.bindVertexArray=s=>pe(r,()=>r.bindVertexArray(s)),this.deleteVertexArray=s=>pe(r,()=>r.deleteVertexArray(s)),this.getVertexArray=()=>pe(r,()=>r.getParameter(r.VERTEX_ARRAY_BINDING))}else if(e!=null){let r=e.getExtension("OES_vertex_array_object");if(r==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>pe(e,()=>r.createVertexArrayOES()),this.bindVertexArray=s=>pe(e,()=>r.bindVertexArrayOES(s)),this.deleteVertexArray=s=>pe(e,()=>r.deleteVertexArrayOES(s)),this.getVertexArray=()=>pe(e,()=>e.getParameter(r.VERTEX_ARRAY_BINDING_OES))}let a="WEBGL_color_buffer_float",n="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),W().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Ad(this.gl,r),mn(this.gl,s))this.textureHalfFloatExtension=Ad(this.gl,s);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(a),mn(this.gl,n))this.colorBufferHalfFloatExtension=Ad(this.gl,n);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(a="EXT_color_buffer_float",mn(this.gl,a))this.colorBufferFloatExtension=this.gl.getExtension(a);else if(mn(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=kv(this.gl),this.indexBuffer=Iv(this.gl),this.framebuffer=av(this.gl),this.textureConfig=cg(this.gl,this.textureHalfFloatExtension)}get debug(){return W().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;pe(e,()=>e.finish()),pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),pe(e,()=>e.deleteFramebuffer(this.framebuffer)),pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),pe(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),pe(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),Sv(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),Cv(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),Tv(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),Fv(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,a,n){this.throwIfDisposed(),Mv(this.gl,e,t,a,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),Rv(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),Nv(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(w1(this.gl,this.framebuffer),this.outputTexture=null),pe(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,a){return this.downloadMatrixDriver(e,()=>Dv(this.gl,t,a,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,a,n,r,s){return Pv(this.gl,e,t,a,n,r,s,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return $v(this.gl,e,t)}createBufferFromTexture(e,t,a){this.bindTextureToFrameBuffer(e);let n=_v(this.gl,t,a,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,a;if(W().getBool("WEBGL_FENCE_API_ENABLED")){let n=e,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),a=()=>{let s=n.clientWaitSync(r,0,0);return s===n.ALREADY_SIGNALED||s===n.CONDITION_SATISFIED},t=r}else W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),a=()=>this.isQueryAvailable(t,W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):a=()=>!0;return{query:t,isFencePassed:a}}downloadMatrixFromPackedTexture(e,t,a){return this.downloadMatrixDriver(e,()=>Ov(this.gl,t,a))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=wv(t));let a=Y6(t);pe(t,()=>t.attachShader(a,this.vertexShader)),pe(t,()=>t.attachShader(a,e)),Z6(t,a);let n=Object.assign(a,{vao:this.createVertexArray()});return this.debug&&Xc(t,n),n}buildVao(e){this.setProgram(e),this.bindVertexArray(e.vao);let t=this.gl;pe(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),Ev(t,e,this.vertexBuffer)}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(pe(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&Xc(this.gl,this.program),pe(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,a=!0){return this.throwIfDisposed(),a?rv(this.gl,e,t):sv(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),pe(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,a){this.throwIfDisposed(),this.throwIfNoProgram(),iv(this.gl,e,t,a)}setOutputMatrixTexture(e,t,a){this.setOutputMatrixTextureDriver(e,a,t)}setOutputPackedMatrixTexture(e,t,a){this.throwIfDisposed();let[n,r]=Du(t,a);this.setOutputMatrixTextureDriver(e,n,r)}setOutputMatrixWriteRegion(e,t,a,n){this.setOutputMatrixWriteRegionDriver(a,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,a,n){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&Xc(this.gl,this.program),bd(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}pe(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),pe(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=Ad(this.gl,W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let a=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=a.createQuery();return a.beginQuery(n.TIME_ELAPSED_EXT,r),r}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,a=this.getQueryTimerExtensionWebGL2();t.endQuery(a.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await v.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let a=this.gl;return a.getQueryParameter(e,a.QUERY_RESULT)/1e6}else{let a=this.getQueryTimerExtensionWebGL1();return a.getQueryObjectEXT(e,a.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let a=this.gl,n=this.getQueryTimerExtensionWebGL2(),r=a.getQueryParameter(e,a.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{let a=this.getQueryTimerExtensionWebGL1(),n=a.getQueryObjectEXT(e,a.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(a.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=WG(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:a}=this.itemsToPoll[t];a()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let a;"setTimeoutCustom"in W().platform&&(a=W().platform.setTimeoutCustom.bind(W().platform)),v.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,a)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),Kc(this.gl,e,this.framebuffer),this.debug&&bd(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Kc(this.gl,this.outputTexture,this.framebuffer),this.debug&&bd(this.gl)):w1(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let a=t();return this.unbindTextureToFrameBuffer(),a}setOutputMatrixTextureDriver(e,t,a){this.throwIfDisposed();let n=this.gl;Kc(n,e,this.framebuffer),this.debug&&bd(n),this.outputTexture=e,pe(n,()=>n.viewport(0,0,t,a)),pe(n,()=>n.scissor(0,0,t,a))}setOutputMatrixWriteRegionDriver(e,t,a,n){this.throwIfDisposed(),pe(this.gl,()=>this.gl.scissor(e,t,a,n))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function WG(e){let t=0;for(;t`${e}.${a}`)}function Ia(e,t){return t===1?[e]:Bv(e,t)}function MH(e,t){if(e===1)return"rc";let a="";for(let n=0;n= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}), cEdge ? 0. : getA(${t[1]}), rEdge ? 0. : getA(${t[2]}), - rEdge || cEdge ? 0. : getA(${t[3]})`}},V6=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length);let a="";for(let n=0;n<4;n++){let r="thisRC = rc;";n%2===1&&(r+="thisRC.z += 1;"),n>1&&(r+="thisRC.y += 1;"),a+=` + rEdge || cEdge ? 0. : getA(${t[3]})`}},Vv=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length);let a="";for(let n=0;n<4;n++){let r="thisRC = rc;";n%2===1&&(r+="thisRC.z += 1;"),n>1&&(r+="thisRC.y += 1;"),a+=` ${r} ${n>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); @@ -1146,8 +1146,8 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${n>0?"}":""} `}this.userCode=` - ${ZU(t,this.enableShapeUniforms)} - ${this.enableShapeUniforms?w3():k3(e)} + ${_H(t,this.enableShapeUniforms)} + ${this.enableShapeUniforms?mg():fg(e)} void main() { ivec3 rc = getOutputCoords(); @@ -1162,12 +1162,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function ZU(e,t){return` + `}};function _H(e,t){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${t?cV(["r","c","d"],"inputShape"):Ao(["r","c","d"],e)} + ${t?XU(["r","c","d"],"inputShape"):jo(["r","c","d"],e)} return ivec3(r, c, d); } - `}var YU=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,a){let n=cy(t,a),r=hy(e,n,a);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=py(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,a);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return n===oa.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===oa.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===oa.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===oa.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===oa.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,a,n){if(this.freeTextures==null)return;let r=cy(a,n),s=hy(t,r,n);s in this.freeTextures||(this.freeTextures[s]=[]);let i=py(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,n),o=V().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function JU(e,t){let a=e;if(t===a.R32F)return 4;if(t===a.R16F)return 2;if(t===a.RGBA32F||t===e.RGBA)return 16;if(t===a.RGBA16F)return 8;if(t===a.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function py(e,t,a,n,r){let s=QU(t,n),i;if(r){let[l,u]=lu(e[0],e[1]);i=l*u}else{let[l,u]=pp(e[0],e[1]);i=l*u}let o=JU(a,s);return i*o}function QU(e,t){switch(e){case oa.PACKED_2X2_FLOAT32:return N3(t);case oa.PACKED_2X2_FLOAT16:return E3(t);case oa.UNPACKED_FLOAT32:return S3(t);case oa.UNPACKED_FLOAT16:return T3(t);case oa.PACKED_4X1_UNSIGNED_BYTE:return C3(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function eG(e){return V().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?oa.PACKED_2X2_FLOAT32:oa.UNPACKED_FLOAT32:e?oa.PACKED_2X2_FLOAT16:oa.UNPACKED_FLOAT16}function cy(e,t){if(e===hn.UPLOAD)return oa.PACKED_2X2_FLOAT32;if(e===hn.RENDER||e==null)return eG(t);if(e===hn.DOWNLOAD||e===hn.PIXELS)return oa.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function hy(e,t,a){return`${e[0]}_${e[1]}_${t}_${a}`}var qn=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length),this.userCode=` + `}var $H=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}acquireTexture(e,t,a){let n=ix(t,a),r=ox(e,n,a);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=sx(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,a);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].pop();return this.usedTextures[r].push(o),o}let i;return n===da.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===da.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===da.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===da.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===da.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,a,n){if(this.freeTextures==null)return;let r=ix(a,n),s=ox(t,r,n);s in this.freeTextures||(this.freeTextures[s]=[]);let i=sx(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,n),o=W().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l&&l.indexOf(e);if(u==null||u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l[u]=l[l.length-1],l.pop(),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function DH(e,t){let a=e;if(t===a.R32F)return 4;if(t===a.R16F)return 2;if(t===a.RGBA32F||t===e.RGBA)return 16;if(t===a.RGBA16F)return 8;if(t===a.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function sx(e,t,a,n,r){let s=PH(t,n),i;if(r){let[l,u]=Du(e[0],e[1]);i=l*u}else{let[l,u]=Bp(e[0],e[1]);i=l*u}let o=DH(a,s);return i*o}function PH(e,t){switch(e){case da.PACKED_2X2_FLOAT32:return bg(t);case da.PACKED_2X2_FLOAT16:return vg(t);case da.UNPACKED_FLOAT32:return yg(t);case da.UNPACKED_FLOAT16:return xg(t);case da.PACKED_4X1_UNSIGNED_BYTE:return Ag(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function OH(e){return W().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?da.PACKED_2X2_FLOAT32:da.UNPACKED_FLOAT32:e?da.PACKED_2X2_FLOAT16:da.UNPACKED_FLOAT16}function ix(e,t){if(e===fn.UPLOAD)return da.PACKED_2X2_FLOAT32;if(e===fn.RENDER||e==null)return OH(t);if(e===fn.DOWNLOAD||e===fn.PIXELS)return da.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function ox(e,t,a){return`${e[0]}_${e[1]}_${t}_${a}`}var Yn=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${t} } @@ -1178,11 +1178,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},En="if (isnan(x)) return x;",tG="return x;",fy="return abs(x);",aG="return (x >= 0.0) ? x : (exp(x) - 1.0);",nG=En+` + `}},Rn="if (isnan(x)) return x;",zH="return x;",lx="return abs(x);",LH="return (x >= 0.0) ? x : (exp(x) - 1.0);",WH=Rn+` return (x < 0.0) ? 0.0 : x; -`,rG=En+` +`,BH=Rn+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,Or="return x;",sG="return 1.0 / (1.0 + exp(-1.0 * x));",iG="return x;",oG=` +`,Lr="return x;",VH="return 1.0 / (1.0 + exp(-1.0 * x));",UH="return x;",GH=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -1191,7 +1191,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,lG=` +`,HH=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1201,7 +1201,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,uG=` +`,jH=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1211,7 +1211,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,dG="return 1.0 / (1.0 + exp(-1.0 * x));",Wr=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length),this.userCode=` +`,qH="return 1.0 / (1.0 + exp(-1.0 * x));",Gr=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${t} } @@ -1222,17 +1222,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},pG=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=Ra(this.outputShape.length);let t=e.length,a=wa("rc",t),n=gt(t),r=XU(t,a),s=a.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` + `}},XH=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=ya(this.outputShape.length);let t=e.length,a=Ia("rc",t),n=ft(t),r=MH(t,a),s=a.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=` void main() { ${n} rc = getOutputCoords(); vec4 packedInput = getA(${r}); setOutput(getChannel(packedInput, ${i})); } - `}},cG=Nn.whereImpl,hG=1e-7,fG=1e-4,Fm={};function mG(e){return e in Fm||(Fm[e]={}),Fm[e]}var gG=V().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),yG=600;function xG(){return V().global.screen==null?1024:V().global.screen.height*V().global.screen.width*window.devicePixelRatio*yG/1024/1024}var fu=class extends Al{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!V().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof sl)t=e;else{let a=Dn(V().getNumber("WEBGL_VERSION"),e);t=new sl(a)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let a=Dn(V().getNumber("WEBGL_VERSION"));t=new sl(a),this.binaryCache=mG(V().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new YU(this.gpgpu),this.numMBBeforeWarning=xG(),this.texData=new kd(this,vt())}nextDataId(){return fu.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,a,n,r,s){let i=this.makeTensorInfo(t,a),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[n,r]},o.texShape=[n,r];let l=Xu(t),u=new dy(l,!1,s),p=this.runWebGLProgram(u,[i],a,[[n,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,a){if((V().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||V().getBool("DEBUG"))&&this.checkNumericalProblems(e),a==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:a,values:e,usage:hn.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,a,n,r){if(V().getBool("DEBUG")&&this.checkNumericalProblems(t),n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:a,dtype:n,values:t,usage:hn.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:a,dtype:n,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let c;o?c=new Wr(i,Or):c=new qn(i,Or);let d=this.runWebGLProgram(c,[{dataId:e,shape:i,dtype:n}],n),h=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),h}if(a!=null)return this.convertAndCacheOnCPU(e);if(n==="string")return a;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(n==="complex64"){let c=this.readSync(r.real.dataId),d=this.readSync(r.imag.dataId);p=T.mergeRealAndImagArrays(c,d)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(f=>h.push(f))}let t=this.texData.get(e),{values:a,shape:n,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new Wr(n,Or):h=new qn(n,Or);let f=this.runWebGLProgram(h,[{dataId:e,shape:n,dtype:s}],s),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(a!=null)return this.convertAndCacheOnCPU(e);if(V().getBool("DEBUG")&&!V().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&V().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&V().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...cc(n))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),f=h[0],m=h[1];p=T.mergeRealAndImagArrays(f,m)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(n);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;ue(h,()=>h.deleteBuffer(l))}let c=this.convertAndCacheOnCPU(e,p),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(h=>h(c)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&vt().removeDataId(e,this),this.pendingDeletes--),c}readToGPU(e,t={}){let a=this.texData.get(e),{values:n,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=a;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let d;o?d=new Wr(r,Or):d=new qn(r,Or);let h=this.runWebGLProgram(d,[{dataId:e,shape:r,dtype:i}],i),f=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),f}if(l==null)throw n!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=vt().makeTensorFromTensorInfo(u),c=this.texData.get(u.dataId);return Object.assign({tensorRef:p},c.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let a=t.map(n=>v.decodeString(n));return _e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return _e(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,a=[],n=!1;this.programTimersStack==null?(this.programTimersStack=a,n=!0):this.activeTimers.push(a),this.activeTimers=a,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:a}=this.texData.get(e);return a!=null&&(this.disposeData(a.real.dataId,t),this.disposeData(a.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:a,texShape:n,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,a),this.textureManager.releaseTexture(t,n,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=gG){return V().getBool("WEBGL_CPU_FORWARD")&&e.every(a=>this.texData.get(a.dataId).texture==null&&v.sizeFromShape(a.shape)0&&v.isString(a[0])){let r=a.map(s=>v.encodeString(s));n=this.write(r,e,t)}else n=this.write(a,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,a){return vt().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,a),this)}unpackTensor(e){let t=new pG(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new KU(e.shape),a=!0;return this.runWebGLProgram(t,[e],e.dtype,null,a)}packedReshape(e,t){let a=[Hs(e.shape),...js(e.shape)],n={dtype:e.dtype,shape:a,dataId:e.dataId},r=[Hs(t),...js(t)],s=new V6(r,a),i=!0,o=[a],l=this.runWebGLProgram(s,[n],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let a=this.texData.get(e),{isPacked:n,shape:r,dtype:s}=a;if(t!=null){let c=v.sizeFromShape(r),d=t[0]*t[1]*4;v.assert(c<=d,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=Xu(r),o;n?o=new QV(i):o=new JV(i);let l=!0,u=[t!=null?t:cc(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,a,n,r=!1,s){let i=this.makeTensorInfo(e.outputShape,a),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===md.DENSE){let g=s!=null?s:cc(e.outputShape);o.texShape=g.map(y=>y*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let y=this.texData.get(g.dataId);if(y.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=V().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:y.values};e.packedInputs&&(y.isPacked=!0,y.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!y.isPacked!=!!e.packedInputs)g=y.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),y=this.texData.get(g.dataId);else if(y.isPacked&&!gd(y.shape,g.shape)){let x=g,A=g.shape;g.shape=y.shape,g=this.packedReshape(g,A),l.push(g),y=this.texData.get(g.dataId),x.shape=A}return{shape:g.shape,texData:y,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},c=YV(e,u,p),d=this.getAndSaveBinary(c,()=>KV(this.gpgpu,e,u,p)),h=this.activeTimers!=null,f;h&&(f=this.startTimer()),V().get("ENGINE_COMPILE_ONLY")||ZV(this.gpgpu,d,u,p,n),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(f=this.endTimer(f),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(f)}));let m=V().get("WEBGL_FLUSH_THRESHOLD");if(m>0){let g=v.now();g-this.lastGlFlushTime>m&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!V().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,a,n,r=!1){return a=a||t[0].dtype,this.runWebGLProgram(e,t,a,n,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(V().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=Oe(()=>{if(!V().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=V().getBool("DEBUG");V().set("DEBUG",!1);let t=this.abs(ze(1e-8)).dataSync()[0];if(V().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?hG:fG}uploadToGPU(e){let t=this.texData.get(e),{shape:a,dtype:n,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=u6(a,o),t.texShape=p),r!=null){let c=Xu(a),d,h=p[1],f=p[0],m=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!m)&&([h,f]=lu(p[0],p[1])),o?d=new nU(c,m):d=new dy(c,m);let g=m?[f,h]:p,y=this.makeTensorInfo(g,n),x=this.texData.get(y.dataId);m?x.usage=hn.PIXELS:x.usage=hn.UPLOAD,x.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),h,f,r);let A=[[f,h]],b=!0,k=this.runWebGLProgram(d,[y],n,A,b),S=this.texData.get(k.dataId);t.texShape=S.texShape,t.isPacked=S.isPacked,t.usage=S.usage,V().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=S.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),l&&(this.uploadWaitMs+=v.now()-u)}else{let c=this.acquireTexture(p,i,n,o);t.texture=c}}convertAndCacheOnCPU(e,t){let a=this.texData.get(e),{dtype:n}=a;return t!=null&&(a.values=AG(t,n)),a.values}acquireTexture(e,t,a,n){if(this.numBytesInGPU+=this.computeBytes(e,a),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let a=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(r){throw r}});e.push(a)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await A4(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(v3(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:a,infLoc:n,nanLoc:r,inShapesLocations:s,inTexShapesLocations:i,outShapeLocation:o,outShapeStridesLocation:l,outTexShapeLocation:u}=b6(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=a,e.infLoc=n,e.nanLoc=r,e.inShapesLocations=s,e.inTexShapesLocations=i,e.outShapeLocation=o,e.outShapeStridesLocation=l,e.outTexShapeLocation=u}}createTensorFromGPUData(e,t,a){e.channels=e.channels||"RGBA";let{texture:n,height:r,width:s,channels:i}=e,o=vt().backend;if(!o.gpgpu.gl.isTexture(n))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let l=o.writeTexture(n,t,a,r,s,i);return vt().makeTensorFromDataId(l,t,a,o)}};fu.nextDataId=0;function AG(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let a=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let n=0;nnew fu,2);var vG={forceHalfFloat:U6},M3=` + `}},KH=Nn.whereImpl,YH=1e-7,ZH=1e-4,W2={};function JH(e){return e in W2||(W2[e]={}),W2[e]}var QH=W().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),ej=600;function tj(){return W().global.screen==null?1024:W().global.screen.height*W().global.screen.width*window.devicePixelRatio*ej/1024/1024}var Bu=class extends Kl{nextDataId(){return Bu.nextDataId++}constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!W().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof _l)t=e;else{let a=Wn(W().getNumber("WEBGL_VERSION"),e);t=new _l(a)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let a=Wn(W().getNumber("WEBGL_VERSION"));t=new _l(a),this.binaryCache=JH(W().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new $H(this.gpgpu),this.numMBBeforeWarning=tj(),this.texData=new Zd(this,It())}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,a,n,r,s){let i=this.makeTensorInfo(t,a),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[n,r]},o.texShape=[n,r];let l=vd(t),u=new rx(l,!1,s),p=this.runWebGLProgram(u,[i],a,[[n,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,a){if((W().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||W().getBool("DEBUG"))&&this.checkNumericalProblems(e),a==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:a,values:e,usage:fn.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,a,n,r){if(W().getBool("DEBUG")&&this.checkNumericalProblems(t),n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:a,dtype:n,values:t,usage:fn.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:a,dtype:n,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let c;o?c=new Gr(i,Lr):c=new Yn(i,Lr);let d=this.runWebGLProgram(c,[{dataId:e,shape:i,dtype:n}],n),h=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),h}if(a!=null)return this.convertAndCacheOnCPU(e);if(n==="string")return a;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(n==="complex64"){let c=this.readSync(r.real.dataId),d=this.readSync(r.imag.dataId);p=S.mergeRealAndImagArrays(c,d)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(f=>h.push(f))}let t=this.texData.get(e),{values:a,shape:n,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new Gr(n,Lr):h=new Yn(n,Lr);let f=this.runWebGLProgram(h,[{dataId:e,shape:n,dtype:s}],s),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(a!=null)return this.convertAndCacheOnCPU(e);if(W().getBool("DEBUG")&&!W().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&W().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&W().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...Vc(n))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),f=h[0],m=h[1];p=S.mergeRealAndImagArrays(f,m)}else if(l==null)p=this.getValuesFromTexture(e);else{let h=v.sizeFromShape(n);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;pe(h,()=>h.deleteBuffer(l))}let c=this.convertAndCacheOnCPU(e,p),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(h=>h(c)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&It().removeDataId(e,this),this.pendingDeletes--),c}readToGPU(e,t={}){let a=this.texData.get(e),{values:n,shape:r,slice:s,dtype:i,isPacked:o,texture:l}=a;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(s!=null){let d;o?d=new Gr(r,Lr):d=new Yn(r,Lr);let h=this.runWebGLProgram(d,[{dataId:e,shape:r,dtype:i}],i),f=this.readToGPU(h,t);return this.disposeIntermediateTensorInfo(h),f}if(l==null)throw n!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let u=this.decode(e,t.customTexShape),p=It().makeTensorFromTensorInfo(u),c=this.texData.get(u.dataId);return Object.assign({tensorRef:p},c.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let a=t.map(n=>v.decodeString(n));return $e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return $e(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,a=[],n=!1;this.programTimersStack==null?(this.programTimersStack=a,n=!0):this.activeTimers.push(a),this.activeTimers=a,e();let r=v.flatten(this.activeTimers.map(o=>o.query)).filter(o=>o!=null),s=v.flatten(this.activeTimers.map(o=>o.name)).filter(o=>o!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let o=await Promise.all(r);i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:v.now(),endMs:null}}endTimer(e){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=v.now(),e)}async getQueryTime(e){if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:a}=this.texData.get(e);return a!=null&&(this.disposeData(a.real.dataId,t),this.disposeData(a.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:a,texShape:n,usage:r,isPacked:s,slice:i}=this.texData.get(e),o=i&&i.origDataId||e,l=this.dataRefCount.get(o);l>1?this.dataRefCount.set(o,l-1):(this.dataRefCount.delete(o),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,a),this.textureManager.releaseTexture(t,n,r,s)));let u=this.texData.get(e);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=QH){return W().getBool("WEBGL_CPU_FORWARD")&&e.every(a=>this.texData.get(a.dataId).texture==null&&v.sizeFromShape(a.shape)0&&v.isString(a[0])){let r=a.map(s=>v.encodeString(s));n=this.write(r,e,t)}else n=this.write(a,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,a){return It().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,a),this)}unpackTensor(e){let t=new XH(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new FH(e.shape),a=!0;return this.runWebGLProgram(t,[e],e.dtype,null,a)}packedReshape(e,t){let a=[Ks(e.shape),...Ys(e.shape)],n={dtype:e.dtype,shape:a,dataId:e.dataId},r=[Ks(t),...Ys(t)],s=new Vv(r,a),i=!0,o=[a],l=this.runWebGLProgram(s,[n],e.dtype,o,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e,t){let a=this.texData.get(e),{isPacked:n,shape:r,dtype:s}=a;if(t!=null){let c=v.sizeFromShape(r),d=t[0]*t[1]*4;v.assert(c<=d,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=vd(r),o;n?o=new DG(i):o=new $G(i);let l=!0,u=[t!=null?t:Vc(i)],p=this.runWebGLProgram(o,[{shape:i,dtype:s,dataId:e}],s,u,l,t);return{dtype:s,shape:r,dataId:p.dataId}}runWebGLProgram(e,t,a,n,r=!1,s){let i=this.makeTensorInfo(e.outputShape,a),o=this.texData.get(i.dataId);if(e.packedOutput&&(o.isPacked=!0),e.outPackingScheme===Ud.DENSE){let g=s!=null?s:Vc(e.outputShape);o.texShape=g.map(y=>y*2)}if(e.outTexUsage!=null&&(o.usage=e.outTexUsage),v.sizeFromShape(i.shape)===0)return o.values=v.getTypedArrayFromDType(i.dtype,0),i;let l=[],u=t.map(g=>{if(g.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let y=this.texData.get(g.dataId);if(y.texture==null){if(!e.packedInputs&&v.sizeFromShape(g.shape)<=W().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:g.shape,texData:null,isUniform:!0,uniformValues:y.values};e.packedInputs&&(y.isPacked=!0,y.shape=g.shape)}if(this.uploadToGPU(g.dataId),!!y.isPacked!=!!e.packedInputs)g=y.isPacked?this.unpackTensor(g):this.packTensor(g),l.push(g),y=this.texData.get(g.dataId);else if(y.isPacked&&!Gd(y.shape,g.shape)){let x=g,A=g.shape;g.shape=y.shape,g=this.packedReshape(g,A),l.push(g),y=this.texData.get(g.dataId),x.shape=A}return{shape:g.shape,texData:y,isUniform:!1}});this.uploadToGPU(i.dataId);let p={shape:i.shape,texData:o,isUniform:!1},c=_G(e,u,p),d=this.getAndSaveBinary(c,()=>MG(this.gpgpu,e,u,p)),h=this.activeTimers!=null,f;h&&(f=this.startTimer()),W().get("ENGINE_COMPILE_ONLY")||FG(this.gpgpu,d,u,p,n),l.forEach(g=>this.disposeIntermediateTensorInfo(g)),h&&(f=this.endTimer(f),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(f)}));let m=W().get("WEBGL_FLUSH_THRESHOLD");if(m>0){let g=v.now();g-this.lastGlFlushTime>m&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=g)}if(!W().getBool("WEBGL_LAZILY_UNPACK")&&o.isPacked&&r===!1){let g=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),g}return i}compileAndRun(e,t,a,n,r=!1){return a=a||t[0].dtype,this.runWebGLProgram(e,t,a,n,r)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(W().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=Pe(()=>{if(!W().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=W().getBool("DEBUG");W().set("DEBUG",!1);let t=this.abs(Ue(1e-8)).dataSync()[0];if(W().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?YH:ZH}uploadToGPU(e){let t=this.texData.get(e),{shape:a,dtype:n,values:r,texture:s,usage:i,isPacked:o}=t;if(s!=null)return;let l=this.activeTimers!=null,u;l&&(u=v.now());let p=t.texShape;if(p==null&&(p=uv(a,o),t.texShape=p),r!=null){let c=vd(a),d,h=p[1],f=p[0],m=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(o||!m)&&([h,f]=Du(p[0],p[1])),o?d=new LG(c,m):d=new rx(c,m);let g=m?[f,h]:p,y=this.makeTensorInfo(g,n),x=this.texData.get(y.dataId);m?x.usage=fn.PIXELS:x.usage=fn.UPLOAD,x.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),h,f,r);let A=[[f,h]],b=!0,w=this.runWebGLProgram(d,[y],n,A,b),C=this.texData.get(w.dataId);t.texShape=C.texShape,t.isPacked=C.isPacked,t.usage=C.usage,W().get("ENGINE_COMPILE_ONLY")?this.disposeData(w.dataId):(t.texture=C.texture,t.values=null,this.texData.delete(w.dataId)),this.disposeIntermediateTensorInfo(y),l&&(this.uploadWaitMs+=v.now()-u)}else{let c=this.acquireTexture(p,i,n,o);t.texture=c}}convertAndCacheOnCPU(e,t){let a=this.texData.get(e),{dtype:n}=a;return t!=null&&(a.values=aj(t,n)),a.values}acquireTexture(e,t,a,n){if(this.numBytesInGPU+=this.computeBytes(e,a),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*v.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let a=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(r){throw r}});e.push(a)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await x7(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(hg(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let e of Object.values(this.binaryCache)){this.gpgpu.buildVao(e.webGLProgram);let{variablesLocations:t,customUniformLocations:a,infLoc:n,nanLoc:r,outShapeLocation:s,outShapeStridesLocation:i,outTexShapeLocation:o}=bv(this.gpgpu,e.program,e.webGLProgram);e.variablesLocations=t,e.customUniformLocations=a,e.infLoc=n,e.nanLoc=r,e.outShapeLocation=s,e.outShapeStridesLocation=i,e.outTexShapeLocation=o}}createTensorFromGPUData(e,t,a){e.channels=e.channels||"RGBA";let{texture:n,height:r,width:s,channels:i}=e,o=It().backend;if(!o.gpgpu.gl.isTexture(n))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let l=o.writeTexture(n,t,a,r,s,i);return It().makeTensorFromDataId(l,t,a,o)}};Bu.nextDataId=0;function aj(e,t){if(t==="float32"||t==="complex64")return e;if(t==="int32"||t==="bool"){let a=t==="int32"?new Int32Array(e.length):new Uint8Array(e.length);for(let n=0;nnew Bu,2);var rj={forceHalfFloat:Uv},kg=` if (isnan(a)) return a; if (isnan(b)) return b; -`,yl=class{constructor(e,t,a){this.variableNames=["A","B"],this.outputShape=T.assertAndGetBroadcastShape(t,a),this.enableShapeUniforms=Ra(this.outputShape.length),this.userCode=` +`,ql=class{constructor(e,t,a){this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(t,a),this.enableShapeUniforms=ya(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${e} } @@ -1242,17 +1242,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } - `}},hp=` + `}},Xo=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; -`,fp=class{constructor(e,t,a,n=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=T.assertAndGetBroadcastShape(t,a);let r=this.outputShape.length;this.enableShapeUniforms=Ra(r);let s="";if(n)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` +`,Up=class{constructor(e,t,a,n=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(t,a);let r=this.outputShape.length;this.enableShapeUniforms=ya(r);let s="";if(n)if(r===0||v.sizeFromShape(this.outputShape)===1)s=` result.y = 0.; result.z = 0.; result.w = 0.; `;else if(s=` - ${gt(r)} coords = getOutputCoords(); + ${ft(r)} coords = getOutputCoords(); `,r===1)this.enableShapeUniforms?s+=` result.y = (coords + 1) >= outShape ? 0. : result.y; result.z = 0.; @@ -1261,7 +1261,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y; result.z = 0.; result.w = 0.; - `;else{let i=wa("coords",r);this.enableShapeUniforms?s+=` + `;else{let i=Ia("coords",r);this.enableShapeUniforms?s+=` bool nextRowOutOfBounds = (${i[r-2]} + 1) >= outShape[${r} - 2]; bool nextColOutOfBounds = @@ -1291,13 +1291,13 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function Qa(e){let{inputs:t,backend:a}=e,{x:n}=t;return a.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var kG={kernelName:wi,backendName:"webgl",kernelFunc:Qa};function ls(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.makeTensorInfo(n.shape,"complex64"),i=a.texData.get(s.dataId),o=Qa({inputs:{x:n},backend:a}),l=Qa({inputs:{x:r},backend:a});return i.complexTensorInfos={real:o,imag:l},s}var wG={kernelName:Td,backendName:"webgl",kernelFunc:ls},G6="return (a < 0.) ? b * a : a;",H6=` + `}};function en(e){let{inputs:t,backend:a}=e,{x:n}=t;return a.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var sj={kernelName:zi,backendName:"webgl",kernelFunc:en};function ds(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.makeTensorInfo(n.shape,"complex64"),i=a.texData.get(s.dataId),o=en({inputs:{x:n},backend:a}),l=en({inputs:{x:r},backend:a});return i.complexTensorInfos={real:o,imag:l},s}var ij={kernelName:tp,backendName:"webgl",kernelFunc:ds},Gv="return (a < 0.) ? b * a : a;",Hv=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function IG(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n,i=a.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new fp(H6,r.shape,i.shape):new yl(G6,r.shape,i.shape),l=a.runWebGLProgram(o,[r,i],"float32");return a.disposeIntermediateTensorInfo(i),l}var SG={kernelName:Si,backendName:"webgl",kernelFunc:IG},j6="return (a < 0.) ? b * a : a;",q6=` +`;function oj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n,i=a.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Up(Hv,r.shape,i.shape):new ql(Gv,r.shape,i.shape),l=a.runWebGLProgram(o,[r,i],"float32");return a.disposeIntermediateTensorInfo(i),l}var lj={kernelName:Vi,backendName:"webgl",kernelFunc:oj},jv="return (a < 0.) ? b * a : a;",qv=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function TG(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new fp(q6,n.shape,r.shape):new yl(j6,n.shape,r.shape);return a.runWebGLProgram(s,[n,r],"float32")}var CG={kernelName:ji,backendName:"webgl",kernelFunc:TG},mu="if (isnan(x)) return x;";function Qe({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:a,dtype:n}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=n||i.dtype;if(o.shouldExecuteOnCPU([i])&&a!=null){let c=o.texData.get(i.dataId),d=a(c.values,l);return o.makeTensorInfo(i.shape,l,d)}let u=V().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new Wr(i.shape,t):p=new qn(i.shape,e),o.runWebGLProgram(p,[i],l)}}function pa({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:a=!1,supportsComplex:n=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(n&&l.dtype==="complex64"){let f=p.texData.get(l.dataId),m=p.texData.get(u.dataId),[g,y]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(A=>{let[b,k]=A,S={dataId:b.dataId,dtype:b.dtype,shape:l.shape},C={dataId:k.dataId,dtype:k.dtype,shape:u.shape},N=new yl(e,l.shape,u.shape);return p.runWebGLProgram(N,[S,C],ma(b.dtype,k.dtype))}),x=ls({inputs:{real:g,imag:y},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(y),x}let c=s||ma(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let f=p.texData.get(l.dataId).values,m=p.texData.get(u.dataId).values,g=l.dtype==="string"?T.fromUint8ToStringArray(f):f,y=l.dtype==="string"?T.fromUint8ToStringArray(m):m,[x,A]=r(l.shape,u.shape,g,y,c),b=p.makeTensorInfo(A,c),k=p.texData.get(b.dataId);return k.values=x,b}let d=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return d?h=new fp(t,l.shape,u.shape,a):h=new yl(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],c)}}function yd(e,t=!1){if(e==="linear")return t?iG:tG;if(e==="relu")return t?lG:nG;if(e==="elu")return t?oG:aG;if(e==="relu6")return t?uG:rG;if(e==="prelu")return t?q6:j6;if(e==="leakyrelu")return t?H6:G6;if(e==="sigmoid")return t?dG:sG;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var X6=class{constructor(e,t,a,n=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=a,this.enableShapeUniforms=Ra(this.outputShape.length);let u=n?e[1]:e[2],p=Math.ceil(u/2),c=n?"i * 2, rc.y":"rc.y, i * 2",d=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";i&&(o?m=`vec4 activation(vec4 a) { +`;function uj(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Up(qv,n.shape,r.shape):new ql(jv,n.shape,r.shape);return a.runWebGLProgram(s,[n,r],"float32")}var dj={kernelName:fo,backendName:"webgl",kernelFunc:uj},Vu="if (isnan(x)) return x;";function et({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:a,dtype:n}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=n||i.dtype;if(o.shouldExecuteOnCPU([i])&&a!=null){let c=o.texData.get(i.dataId),d=a(c.values,l);return o.makeTensorInfo(i.shape,l,d)}let u=W().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new Gr(i.shape,t):p=new Yn(i.shape,e),o.runWebGLProgram(p,[i],l)}}function fa({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:a=!1,supportsComplex:n=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(n&&l.dtype==="complex64"){let f=p.texData.get(l.dataId),m=p.texData.get(u.dataId),[g,y]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(A=>{let[b,w]=A,C={dataId:b.dataId,dtype:b.dtype,shape:l.shape},T={dataId:w.dataId,dtype:w.dtype,shape:u.shape},N=new ql(e,l.shape,u.shape);return p.runWebGLProgram(N,[C,T],pa(b.dtype,w.dtype))}),x=ds({inputs:{real:g,imag:y},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(y),x}let c=s||pa(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let f=p.texData.get(l.dataId).values,m=p.texData.get(u.dataId).values,g=l.dtype==="string"?S.fromUint8ToStringArray(f):f,y=l.dtype==="string"?S.fromUint8ToStringArray(m):m,[x,A]=r(l.shape,u.shape,g,y,c),b=p.makeTensorInfo(A,c),w=p.texData.get(b.dataId);return w.values=x,b}let d=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return d?h=new Up(t,l.shape,u.shape,a):h=new ql(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],c)}}function Hd(e,t=!1){if(e==="linear")return t?UH:zH;if(e==="relu")return t?HH:WH;if(e==="elu")return t?GH:LH;if(e==="relu6")return t?jH:BH;if(e==="prelu")return t?qv:jv;if(e==="leakyrelu")return t?Hv:Gv;if(e==="sigmoid")return t?qH:VH;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var Xv=class{constructor(e,t,a,n=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=a,this.enableShapeUniforms=ya(this.outputShape.length);let u=n?e[1]:e[2],p=Math.ceil(u/2),c=n?"i * 2, rc.y":"rc.y, i * 2",d=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";i&&(o?m=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${i} }`:l?m=`vec4 activation(vec4 a) { @@ -1336,7 +1336,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}},my={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},gy=class{constructor(e,t,a){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=T.assertAndGetBroadcastShape(t,a),this.userCode=` + `}},ux={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},dx=class{constructor(e,t,a){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=S.assertAndGetBroadcastShape(t,a),this.userCode=` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${e} @@ -1349,7 +1349,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float bimag = getBImagAtOutCoords(); setOutput(binaryOpComplex(areal, aimag, breal, bimag)); } - `}},yy="return a * b;";function $3(e){let{inputs:t,backend:a}=e,{a:n,b:r}=t,s=T.upcastType(n.dtype,r.dtype);if(n.dtype==="complex64"){let o=a.texData.get(n.dataId),l=a.texData.get(r.dataId),u=new gy(my.REAL,n.shape,r.shape),p=new gy(my.IMAG,n.shape,r.shape),c=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:n.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],d=a.runWebGLProgram(u,c,"float32"),h=a.runWebGLProgram(p,c,"float32"),f=ls({inputs:{real:d,imag:h},backend:a});return a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),f}if(a.shouldExecuteOnCPU([n,r])){let o=a.texData.get(n.dataId),l=a.texData.get(r.dataId),[u,p]=SU(n.shape,r.shape,o.values,l.values,s),c=a.makeTensorInfo(p,s),d=a.texData.get(c.dataId);return d.values=u,c}let i;return V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new fp(yy,n.shape,r.shape):i=new yl(yy,n.shape,r.shape),a.runWebGLProgram(i,[n,r],s)}var NG={kernelName:Li,backendName:"webgl",kernelFunc:$3};function EG(e,t,a){let n=[Hs(e.shape),...js(e.shape)],r={dtype:e.dtype,shape:n,dataId:e.dataId},s=[Hs(t),...js(t)],i=new V6(s,n),o=!0,l=[n],u=a.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function pe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{shape:s}=n,i=a,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!gd(r.shape,l)&&!(p.texture!==null&&gd(p.shape,l))?EG(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var RG={kernelName:Hl,backendName:"webgl",kernelFunc:pe},xy=class{constructor(e,t){this.variableNames=["x"];let{windowSize:a,batchSize:n,inSize:r,outSize:s}=e;this.outputShape=[n,s];let i=Math.floor(a/4)*4,o=a%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%a>0&&(u=` + `}},px="return a * b;";function Ig(e){let{inputs:t,backend:a}=e,{a:n,b:r}=t,s=S.upcastType(n.dtype,r.dtype);if(n.dtype==="complex64"){let o=a.texData.get(n.dataId),l=a.texData.get(r.dataId),u=new dx(ux.REAL,n.shape,r.shape),p=new dx(ux.IMAG,n.shape,r.shape),c=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:n.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],d=a.runWebGLProgram(u,c,"float32"),h=a.runWebGLProgram(p,c,"float32"),f=ds({inputs:{real:d,imag:h},backend:a});return a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),f}if(a.shouldExecuteOnCPU([n,r])){let o=a.texData.get(n.dataId),l=a.texData.get(r.dataId),[u,p]=oH(n.shape,r.shape,o.values,l.values,s),c=a.makeTensorInfo(p,s),d=a.texData.get(c.dataId);return d.values=u,c}let i;return W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Up(px,n.shape,r.shape):i=new ql(px,n.shape,r.shape),a.runWebGLProgram(i,[n,r],s)}var pj={kernelName:io,backendName:"webgl",kernelFunc:Ig};function cj(e,t,a){let n=[Ks(e.shape),...Ys(e.shape)],r={dtype:e.dtype,shape:n,dataId:e.dataId},s=[Ks(t),...Ys(t)],i=new Vv(s,n),o=!0,l=[n],u=a.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function ue(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{shape:s}=n,i=a,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!Gd(r.shape,l)&&!(p.texture!==null&&Gd(p.shape,l))?cj(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var hj={kernelName:bu,backendName:"webgl",kernelFunc:ue},cx=class{constructor(e,t){this.variableNames=["x"];let{windowSize:a,batchSize:n,inSize:r,outSize:s}=e;this.outputShape=[n,s];let i=Math.floor(a/4)*4,o=a%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%a>0&&(u=` if (inIdx < 0 || inIdx >= ${r}) { return 0.0; } @@ -1402,7 +1402,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(sumValue); } - `}},MG=class{constructor(e,t){this.variableNames=["x"];let{windowSize:a,batchSize:n,inSize:r,outSize:s}=e;this.outputShape=[n,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(a/4)*4,p=a%4,c=` + `}},fj=class{constructor(e,t){this.variableNames=["x"];let{windowSize:a,batchSize:n,inSize:r,outSize:s}=e;this.outputShape=[n,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(a/4)*4,p=a%4,c=` if (${t==="sum"}) { sumValue += dot(values, ones); } else if (${t==="prod"}) { @@ -1494,12 +1494,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(${l}); } - `}};function $G(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let a=t.length?t[t.length-1].outSize:e[1],n=T.computeOptimalWindowSize(a);t.push({inSize:a,windowSize:n,outSize:Math.ceil(a/n)})}return t}function vo(e,t,a,n){let r=$G(e.shape),s=e;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);let a=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=gt(this.rank),r=W6("rc",this.rank),s=new Array(this.rank);for(let u=0;u6)throw Error(`Transpose for rank ${t} is not yet supported`);let a=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let r=0;r6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=ft(this.rank),r=Bv("rc",this.rank),s=new Array(this.rank);for(let u=0;u`Error in matMul: inner shapes (${c}) and (${d}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${a} and transposeB=${n} must match.`);let b=a?[y,c,h]:[y,h,c],k=n?[x,f,d]:[x,d,f],S=pe({inputs:{x:e},backend:r,attrs:{shape:b}}),C=pe({inputs:{x:t},backend:r,attrs:{shape:k}}),N=[S,C],$=Math.max(y,x),M=a?S.shape[1]:S.shape[2],R=s!=null,I=i!=null,_=l==="leakyrelu",D=l!=null?yd(l,!0):null,W=R||I||_||D!=null,P;if((h===1||f===1)&&M>K6&&W===!1){let G=S,q=C;a&&(G=Ta({inputs:{x:S},backend:r,attrs:{perm:[0,2,1]}}),N.push(G)),n&&(q=Ta({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),N.push(q));let H=f!==1,B=f===1,Z=G;H&&(Z=pe({inputs:{x:G},backend:r,attrs:{shape:[$,M,1]}}),N.push(Z));let X=f===1?2:1,re=q;B&&(re=pe({inputs:{x:q},backend:r,attrs:{shape:[$,1,M]}}),N.push(re));let ee=$3({inputs:{a:Z,b:re},backend:r});P=$h({inputs:{x:ee},backend:r,attrs:{axis:X,keepDims:!0}}),N.push(ee)}else{let G=ma(e.dtype,t.dtype),q=new X6(b,k,[$,h,f],a,n,R,D,I,_),H=[S,C];if(s!=null&&H.push(s),I&&H.push(i),_){let B=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));H.push(B),N.push(B)}P=r.runWebGLProgram(q,H,G)}let U=pe({inputs:{x:P},backend:r,attrs:{shape:A}});N.push(P);for(let G of N)r.disposeIntermediateTensorInfo(G);return U}function LG(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n;return Lc({a:r,b:s,transposeA:l,transposeB:u,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:c,activation:p})}var BG={kernelName:Hr,backendName:"webgl",kernelFunc:LG},Ay="return abs(x);";function WG(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=a.texData.get(n.dataId),i=L6(s.values);return a.makeTensorInfo(n.shape,n.dtype,i)}let r;return V().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Wr(n.shape,Ay):r=new qn(n.shape,Ay),a.runWebGLProgram(r,[n],n.dtype)}var VG={kernelName:vl,backendName:"webgl",kernelFunc:WG},UG=En+` + `}};function Qh(e,t,a){let n=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xj(e.shape,t):new gj(e.shape,t);return a.runWebGLProgram(n,[e],e.dtype)}function Aj(e,t,a,n){let r=t,s=e.shape.length,i=v.parseAxisParam(r,e.shape),o=i,l=S.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Qh(e,l,n),o=S.getInnerMostAxes(o.length,s)),S.assertAxesAreInnerMostDims("sum",o,s);let[c,d]=S.computeOutAndReduceShapes(p.shape,o),h=c;a&&(h=S.expandShapeToKeepDim(c,i));let f=v.sizeFromShape(d),m=v.sizeFromShape(e.shape)/f,g=ue({inputs:{x:p},attrs:{shape:[m,f]},backend:n}),y=Ip(e.dtype),x=Ko(g,y,"sum",n),A=ue({inputs:{x},attrs:{shape:h},backend:n});return n.disposeIntermediateTensorInfo(g),n.disposeIntermediateTensorInfo(x),u&&n.disposeIntermediateTensorInfo(p),A}function e0(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Aj(r,s,i,a)}var bj={kernelName:_o,backendName:"webgl",kernelFunc:e0};function Ta(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{perm:s}=n,i=a,o=r.shape.length,l=new Array(o);for(let p=0;p`Error in matMul: inner shapes (${c}) and (${d}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${a} and transposeB=${n} must match.`);let b=a?[y,c,h]:[y,h,c],w=n?[x,f,d]:[x,d,f],C=ue({inputs:{x:e},backend:r,attrs:{shape:b}}),T=ue({inputs:{x:t},backend:r,attrs:{shape:w}}),N=[C,T],M=Math.max(y,x),F=a?C.shape[1]:C.shape[2],E=s!=null,I=i!=null,_=l==="leakyrelu",O=l!=null?Hd(l,!0):null,B=E||I||_||O!=null,$;if((h===1||f===1)&&F>Kv&&B===!1){let G=C,q=T;a&&(G=Ta({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),N.push(G)),n&&(q=Ta({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),N.push(q));let H=f!==1,V=f===1,Z=G;H&&(Z=ue({inputs:{x:G},backend:r,attrs:{shape:[M,F,1]}}),N.push(Z));let X=f===1?2:1,re=q;V&&(re=ue({inputs:{x:q},backend:r,attrs:{shape:[M,1,F]}}),N.push(re));let ee=Ig({inputs:{a:Z,b:re},backend:r});$=e0({inputs:{x:ee},backend:r,attrs:{axis:X,keepDims:!0}}),N.push(ee)}else{let G=pa(e.dtype,t.dtype),q=new Xv(b,w,[M,h,f],a,n,E,O,I,_),H=[C,T];if(s!=null&&H.push(s),I&&H.push(i),_){let V=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));H.push(V),N.push(V)}$=r.runWebGLProgram(q,H,G)}let U=ue({inputs:{x:$},backend:r,attrs:{shape:A}});N.push($);for(let G of N)r.disposeIntermediateTensorInfo(G);return U}function wj(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n;return fh({a:r,b:s,transposeA:l,transposeB:u,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:c,activation:p})}var kj={kernelName:Xr,backendName:"webgl",kernelFunc:wj},hx="return abs(x);";function Ij(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=a.texData.get(n.dataId),i=Lv(s.values);return a.makeTensorInfo(n.shape,n.dtype,i)}let r;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Gr(n.shape,hx):r=new Yn(n.shape,hx),a.runWebGLProgram(r,[n],n.dtype)}var Sj={kernelName:Zl,backendName:"webgl",kernelFunc:Ij},Cj=Rn+` if (abs(x) > 1.) { return NAN; } return acos(x); -`,GG=Qe({opSnippet:UG}),HG={kernelName:kl,backendName:"webgl",kernelFunc:GG},jG=En+` +`,Tj=et({opSnippet:Cj}),Nj={kernelName:Qs,backendName:"webgl",kernelFunc:Tj},Rj=Rn+` if (x < 1.0) return NAN; -return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,backendName:"webgl",kernelFunc:qG},by="return a + b;",KG=pa({opSnippet:by,packedOpSnippet:by,supportsComplex:!0,cpuKernelImpl:sU}),ZG={kernelName:ts,backendName:"webgl",kernelFunc:KG},YG=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let a=[];this.variableNames.forEach(r=>{a.push(`float v${r} = get${r}AtOutCoords();`)});let n=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` +return log(x + sqrt(x * x - 1.0));`,Ej=et({opSnippet:Rj}),Mj={kernelName:ei,backendName:"webgl",kernelFunc:Ej},fx="return a + b;",Fj=fa({opSnippet:fx,packedOpSnippet:fx,supportsComplex:!0,cpuKernelImpl:BG}),_j={kernelName:ns,backendName:"webgl",kernelFunc:Fj},$j=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let a=[];this.variableNames.forEach(r=>{a.push(`float v${r} = get${r}AtOutCoords();`)});let n=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${a.join(` `)} @@ -1531,7 +1531,7 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back float result = ${n}; setOutput(result); } - `}},JG=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let a=[];this.variableNames.forEach(r=>{a.push(`vec4 v${r} = get${r}AtOutCoords();`)});let n=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` + `}},Dj=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let a=[];this.variableNames.forEach(r=>{a.push(`vec4 v${r} = get${r}AtOutCoords();`)});let n=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${a.join(` `)} @@ -1539,7 +1539,7 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back vec4 result = ${n}; setOutput(result); } - `}};function wc(e){let{inputs:t,backend:a}=e,n=t;if(n.length===1)return Qa({inputs:{x:n[0]},backend:a});if(n.length>V().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(n.length/2),l=wc({inputs:n.slice(0,o),backend:a}),u=wc({inputs:n.slice(o),backend:a});return wc({inputs:[l,u],backend:a})}let r=n.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=n.map(o=>o.shape),i=V().getBool("WEBGL_PACK")?new JG(n[0].shape,s):new YG(n[0].shape,s);return a.runWebGLProgram(i,n,r)}var QG={kernelName:Ks,backendName:"webgl",kernelFunc:wc};function eH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),c=r;p!=null&&(c=Ta({inputs:{x:r},backend:a,attrs:{perm:p}}),u=T.getInnerMostAxes(u.length,o)),T.assertAxesAreInnerMostDims("all",u,o);let[d,h]=T.computeOutAndReduceShapes(c.shape,u),f=v.sizeFromShape(h),m=pe({inputs:{x:c},backend:a,attrs:{shape:[-1,f]}}),g=vo(m,m.dtype,"all",a),y;if(i){let x=T.expandShapeToKeepDim(d,l);y=pe({inputs:{x:g},backend:a,attrs:{shape:x}})}else y=pe({inputs:{x:g},backend:a,attrs:{shape:d}});return a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),p!=null&&a.disposeIntermediateTensorInfo(c),y}var tH={kernelName:Zs,backendName:"webgl",kernelFunc:eH};function aH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),c=r;p!=null&&(c=Ta({inputs:{x:r},backend:a,attrs:{perm:p}}),u=T.getInnerMostAxes(u.length,o)),T.assertAxesAreInnerMostDims("any",u,o);let[d,h]=T.computeOutAndReduceShapes(c.shape,u),f=v.sizeFromShape(h),m=pe({inputs:{x:c},backend:a,attrs:{shape:[-1,f]}}),g=vo(m,m.dtype,"any",a),y;if(i){let x=T.expandShapeToKeepDim(d,l);y=pe({inputs:{x:g},backend:a,attrs:{shape:x}})}else y=pe({inputs:{x:g},backend:a,attrs:{shape:d}});return a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),p!=null&&a.disposeIntermediateTensorInfo(c),y}var nH={kernelName:Ys,backendName:"webgl",kernelFunc:aH},rH=class{constructor(e,t,a){this.variableNames=["A"];let{windowSize:n,batchSize:r,outSize:s}=e;a||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=a?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + `}};function Jc(e){let{inputs:t,backend:a}=e,n=t;if(n.length===1)return en({inputs:{x:n[0]},backend:a});if(n.length>W().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(n.length/2),l=Jc({inputs:n.slice(0,o),backend:a}),u=Jc({inputs:n.slice(o),backend:a});return Jc({inputs:[l,u],backend:a})}let r=n.map(o=>o.dtype).reduce((o,l)=>pa(o,l)),s=n.map(o=>o.shape),i=W().getBool("WEBGL_PACK")?new Dj(n[0].shape,s):new $j(n[0].shape,s);return a.runWebGLProgram(i,n,r)}var Pj={kernelName:ti,backendName:"webgl",kernelFunc:Jc};function Oj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=S.getAxesPermutation(u,o),c=r;p!=null&&(c=Ta({inputs:{x:r},backend:a,attrs:{perm:p}}),u=S.getInnerMostAxes(u.length,o)),S.assertAxesAreInnerMostDims("all",u,o);let[d,h]=S.computeOutAndReduceShapes(c.shape,u),f=v.sizeFromShape(h),m=ue({inputs:{x:c},backend:a,attrs:{shape:[-1,f]}}),g=Ko(m,m.dtype,"all",a),y;if(i){let x=S.expandShapeToKeepDim(d,l);y=ue({inputs:{x:g},backend:a,attrs:{shape:x}})}else y=ue({inputs:{x:g},backend:a,attrs:{shape:d}});return a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),p!=null&&a.disposeIntermediateTensorInfo(c),y}var zj={kernelName:ai,backendName:"webgl",kernelFunc:Oj};function Lj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=S.getAxesPermutation(u,o),c=r;p!=null&&(c=Ta({inputs:{x:r},backend:a,attrs:{perm:p}}),u=S.getInnerMostAxes(u.length,o)),S.assertAxesAreInnerMostDims("any",u,o);let[d,h]=S.computeOutAndReduceShapes(c.shape,u),f=v.sizeFromShape(h),m=ue({inputs:{x:c},backend:a,attrs:{shape:[-1,f]}}),g=Ko(m,m.dtype,"any",a),y;if(i){let x=S.expandShapeToKeepDim(d,l);y=ue({inputs:{x:g},backend:a,attrs:{shape:x}})}else y=ue({inputs:{x:g},backend:a,attrs:{shape:d}});return a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),p!=null&&a.disposeIntermediateTensorInfo(c),y}var Wj={kernelName:ni,backendName:"webgl",kernelFunc:Lj},Bj=class{constructor(e,t,a){this.variableNames=["A"];let{windowSize:n,batchSize:r,outSize:s}=e;a||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=a?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -1559,14 +1559,14 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back } setOutput(float(bestIndex)); } - `}},sH=class{constructor(e,t,a,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${a.charAt(0).toUpperCase()+a.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),n||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=wa("coords",o),p,c;if(s===1){c=o+1;let C=gt(c);p=` - ${C} sourceLocR = ${C}(${u.join()}, 0); + `}},Vj=class{constructor(e,t,a,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${a.charAt(0).toUpperCase()+a.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),n||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=ft(o),u=Ia("coords",o),p,c;if(s===1){c=o+1;let T=ft(c);p=` + ${T} sourceLocR = ${T}(${u.join()}, 0); ++${u[o-1]}; - ${C} sourceLocG = ${C}(${u.join()}, 0); + ${T} sourceLocG = ${T}(${u.join()}, 0); ++${u[o-2]}; - ${C} sourceLocA = ${C}(${u.join()}, 0); + ${T} sourceLocA = ${T}(${u.join()}, 0); --${u[o-1]}; - ${C} sourceLocB = ${C}(${u.join()}, 0); + ${T} sourceLocB = ${T}(${u.join()}, 0); --${u[o-2]};`}else c=o,p=` ${l} sourceLocR = coords; ++${u[o-1]}; @@ -1575,15 +1575,15 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back ${l} sourceLocA = coords; --${u[o-1]}; ${l} sourceLocB = coords; - --${u[o-2]};`;let d=["x","y","z","w","u","v"].slice(0,c),h="."+d[c-1],f=d.map(C=>"int "+C),m=wa("sourceLocR",c-1).concat("inIdx.r"),g=wa("sourceLocG",c-1).concat("inIdx.g"),y=wa("sourceLocB",c-1).concat("inIdx.b"),x=wa("sourceLocA",c-1).concat("inIdx.a"),A=a==="max"?"greaterThan":"lessThan",b=n?"":` + --${u[o-2]};`;let d=["x","y","z","w","u","v"].slice(0,c),h="."+d[c-1],f=d.map(T=>"int "+T),m=Ia("sourceLocR",c-1).concat("inIdx.r"),g=Ia("sourceLocG",c-1).concat("inIdx.g"),y=Ia("sourceLocB",c-1).concat("inIdx.b"),x=Ia("sourceLocA",c-1).concat("inIdx.a"),A=a==="max"?"greaterThan":"lessThan",b=n?"":` inIdx = round(vec4(getBestIndicesAChannel(${m.join()}), getBestIndicesAChannel(${g.join()}), getBestIndicesAChannel(${y.join()}), - getBestIndicesAChannel(${x.join()})));`,k=`vec4( + getBestIndicesAChannel(${x.join()})));`,w=`vec4( getAChannel(${m.join()}), hasNextCol ? getAChannel(${g.join()}) : 0., hasNextRow ? getAChannel(${y.join()}) : 0., - hasNextRow && hasNextCol ? getAChannel(${x.join()}) : 0.)`,S=n?"":` + hasNextRow && hasNextCol ? getAChannel(${x.join()}) : 0.)`,C=n?"":` float getBestIndicesAChannel(${f.join()}) { return getChannel(getBestIndicesA(${d.join()}), vec2(${d.slice(-2).join()})); @@ -1592,7 +1592,7 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back return getChannel(getA(${d.join()}), vec2(${d.slice(-2).join()})); } - ${S} + ${C} void main() { ${l} coords = getOutputCoords(); bool hasNextCol = ${u[o-1]} < ${i[o-1]-1}; @@ -1602,12 +1602,12 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back sourceLocB${h}, sourceLocA${h}) * ${t}; ivec4 inIdx = srcIdx; vec4 bestIndex = vec4(inIdx); - vec4 bestValue = ${k}; + vec4 bestValue = ${w}; for (int i = 0; i < ${t}; i++) { inIdx = srcIdx; ${b} - vec4 candidate = ${k}; + vec4 candidate = ${w}; bvec4 nan = isnan(candidate); bvec4 replace = bvec4( vec4(${A}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); @@ -1621,25 +1621,25 @@ return log(x + sqrt(x * x - 1.0));`,qG=Qe({opSnippet:jG}),XG={kernelName:wl,back } setOutput(bestIndex); } - `}};function Z6(e,t,a,n=null){let r=t.shape[0],s=t.shape[1];n!=null&&(r=n.shape[0],s=n.shape[1]);let i=T.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new rH(o,a,n==null),u=[t];n!=null&&u.push(n);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let c=Z6(e,t,a,p);return e.disposeIntermediateTensorInfo(p),c}function Y6(e,t,a,n=null){let r=n!=null?n.shape:t.shape,s=r[r.length-1],i=T.computeOptimalWindowSize(s),o=new sH(r,i,a,n==null),l=n==null?[t]:[t,n],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=Y6(e,t,a,u);return e.disposeIntermediateTensorInfo(u),p}return u}function J6(e,t,a,n){let r=[a];if(T.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.shape.length),!V().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=T.computeOutAndReduceShapes(l.shape,r),c=v.sizeFromShape(p),d=pe({inputs:{x:l},backend:e,attrs:{shape:[-1,c]}});s.push(d);let h=Z6(e,d,n);s.push(h);let f=pe({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(m=>e.disposeIntermediateTensorInfo(m)),f}return Y6(e,t,n)}function iH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Ta({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=J6(a,l,i[0],"max");return u.forEach(c=>a.disposeIntermediateTensorInfo(c)),p}var oH={kernelName:Js,backendName:"webgl",kernelFunc:iH};function lH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Ta({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=J6(a,l,i[0],"min");return u.forEach(c=>a.disposeIntermediateTensorInfo(c)),p}var uH={kernelName:Id,backendName:"webgl",kernelFunc:lH},dH=En+` + `}};function Yv(e,t,a,n=null){let r=t.shape[0],s=t.shape[1];n!=null&&(r=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new Bj(o,a,n==null),u=[t];n!=null&&u.push(n);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let c=Yv(e,t,a,p);return e.disposeIntermediateTensorInfo(p),c}function Zv(e,t,a,n=null){let r=n!=null?n.shape:t.shape,s=r[r.length-1],i=S.computeOptimalWindowSize(s),o=new Vj(r,i,a,n==null),l=n==null?[t]:[t,n],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=Zv(e,t,a,u);return e.disposeIntermediateTensorInfo(u),p}return u}function Jv(e,t,a,n){let r=[a];if(S.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.shape.length),!W().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=S.computeOutAndReduceShapes(l.shape,r),c=v.sizeFromShape(p),d=ue({inputs:{x:l},backend:e,attrs:{shape:[-1,c]}});s.push(d);let h=Yv(e,d,n);s.push(h);let f=ue({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(m=>e.disposeIntermediateTensorInfo(m)),f}return Zv(e,t,n)}function Uj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=S.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Ta({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=S.getInnerMostAxes(i.length,l.shape.length)),S.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=Jv(a,l,i[0],"max");return u.forEach(c=>a.disposeIntermediateTensorInfo(c)),p}var Gj={kernelName:Jl,backendName:"webgl",kernelFunc:Uj};function Hj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=S.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Ta({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=S.getInnerMostAxes(i.length,l.shape.length)),S.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=Jv(a,l,i[0],"min");return u.forEach(c=>a.disposeIntermediateTensorInfo(c)),p}var jj={kernelName:Ql,backendName:"webgl",kernelFunc:Hj},qj=Rn+` if (abs(x) > 1.) { return NAN; } return asin(x); -`,pH=Qe({opSnippet:dH}),cH={kernelName:Il,backendName:"webgl",kernelFunc:pH},hH=En+"return log(x + sqrt(x * x + 1.0));",fH=Qe({opSnippet:hH}),mH={kernelName:Sl,backendName:"webgl",kernelFunc:fH},gH=En+` +`,Xj=et({opSnippet:qj}),Kj={kernelName:ri,backendName:"webgl",kernelFunc:Xj},Yj=Rn+"return log(x + sqrt(x * x + 1.0));",Zj=et({opSnippet:Yj}),Jj={kernelName:si,backendName:"webgl",kernelFunc:Zj},Qj=Rn+` return atan(x); -`,yH=Qe({opSnippet:gH}),xH={kernelName:Tl,backendName:"webgl",kernelFunc:yH},AH=M3+` +`,eq=et({opSnippet:Qj}),tq={kernelName:ii,backendName:"webgl",kernelFunc:eq},aq=kg+` return atan(a, b); -`,bH=` +`,nq=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - `+hp+` + `+Xo+` return result; -`,vH=pa({opSnippet:AH,packedOpSnippet:bH}),kH={kernelName:Nl,backendName:"webgl",kernelFunc:vH},wH=En+` +`,rq=fa({opSnippet:aq,packedOpSnippet:nq}),sq={kernelName:li,backendName:"webgl",kernelFunc:rq},iq=Rn+` if ((x < -1.0) || (x > 1.0)) return NAN; -return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelName:Cl,backendName:"webgl",kernelFunc:IH},xd=class{constructor(e,t,a,n=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,c=e.effectiveFilterWidth,d=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,y="0.0";if(f||(y="-1.0 / 1e-20"),a){let C=">=";this.userCode=` +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,oq=et({opSnippet:iq}),lq={kernelName:oi,backendName:"webgl",kernelFunc:oq},jd=class{constructor(e,t,a,n=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,c=e.effectiveFilterWidth,d=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,y="0.0";if(f||(y="-1.0 / 1e-20"),a){let T=">=";this.userCode=` const ivec2 strides = ivec2(${i}, ${o}); const ivec2 pads = ivec2(${d}, ${h}); @@ -1681,7 +1681,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${C} currMinMaxValue) { + if (value ${T} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n?r?m:g:`wR * ${c} + wC`}; @@ -1690,7 +1690,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(float(minMaxPosition)); } - `;return}let x="max",A=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(A="avgValue / max(count, 1.0)");let b=Math.floor(s/4)*4,k=s%4,S=` + `;return}let x="max",A=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(A="avgValue / max(count, 1.0)");let b=Math.floor(s/4)*4,w=s%4,C=` if (${f}) { avgValue += dot(values, ones); } else { @@ -1745,11 +1745,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam getValue(batch, xR, xC + 3 * ${u}, d) ); - ${S} + ${C} } int xC = xCCorner + ${b}; - if (${k===1}) { + if (${w===1}) { vec4 values = vec4( getValue(batch, xR, xC, d), initializationValue, @@ -1757,8 +1757,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam initializationValue ); - ${S} - } else if (${k===2}) { + ${C} + } else if (${w===2}) { vec4 values = vec4( getValue(batch, xR, xC, d), getValue(batch, xR, xC + ${u}, d), @@ -1766,8 +1766,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam initializationValue ); - ${S} - } else if (${k===3}) { + ${C} + } else if (${w===3}) { vec4 values = vec4( getValue(batch, xR, xC, d), getValue(batch, xR, xC + ${u}, d), @@ -1775,12 +1775,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam initializationValue ); - ${S} + ${C} } } setOutput(${A}); } - `}},_3=class{constructor(e,t,a,n=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,c=e.dilationWidth,d=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let x=t==="avg",A="0.0";if(x||(A="-1.0 / 1e-20"),a){let $=">=";this.userCode=` + `}},Sg=class{constructor(e,t,a,n=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,c=e.dilationWidth,d=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let x=t==="avg",A="0.0";if(x||(A="-1.0 / 1e-20"),a){let M=">=";this.userCode=` const ivec3 strides = ivec3(${i}, ${o}, ${l}); const ivec3 pads = ivec3(${m}, ${g}, ${y}); @@ -1831,7 +1831,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${$} currMinMaxValue) { + if (value ${M} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n?r?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${h} * ${f} + @@ -1842,7 +1842,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(float(minMaxPosition)); } - `;return}let b="max",k=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(k="avgValue / max(count, 1.0)");let S=Math.floor(s/4)*4,C=s%4,N=` + `;return}let b="max",w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(w="avgValue / max(count, 1.0)");let C=Math.floor(s/4)*4,T=s%4,N=` if (${x}) { avgValue += dot(values, ones); } else { @@ -1897,7 +1897,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam continue; } - for (int wC = 0; wC < ${S}; wC += 4) { + for (int wC = 0; wC < ${C}; wC += 4) { int xC = xCCorner + wC * ${c}; vec4 values = vec4( @@ -1910,8 +1910,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${N} } - int xC = xCCorner + ${S}; - if (${C===1}) { + int xC = xCCorner + ${C}; + if (${T===1}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), initializationValue, @@ -1920,7 +1920,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ); ${N} - } else if (${C===2}) { + } else if (${T===2}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${c}, ch), @@ -1929,7 +1929,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ); ${N} - } else if (${C===3}) { + } else if (${T===3}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${c}, ch), @@ -1941,9 +1941,9 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } } } - setOutput(${k}); + setOutput(${w}); } - `}};function TH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;uu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1;v.assert(T.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=T.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return Qa({inputs:{x:r},backend:a});let c=new xd(p,"avg",!1);return a.runWebGLProgram(c,[r],"float32")}var CH={kernelName:Qs,backendName:"webgl",kernelFunc:TH};function NH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n,p=[1,1,1],c=T.computePool3DInfo(r.shape,s,i,p,o,l,u),d=new _3(c,"avg",!1);return a.runWebGLProgram(d,[r],"float32")}var EH={kernelName:Kc,backendName:"webgl",kernelFunc:NH},RH=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,c=1/(t*a);this.userCode=` + `}};function uq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;Pu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1;v.assert(S.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=S.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return en({inputs:{x:r},backend:a});let c=new jd(p,"avg",!1);return a.runWebGLProgram(c,[r],"float32")}var dq={kernelName:ui,backendName:"webgl",kernelFunc:uq};function pq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n,p=[1,1,1],c=S.computePool3DInfo(r.shape,s,i,p,o,l,u),d=new Sg(c,"avg",!1);return a.runWebGLProgram(d,[r],"float32")}var cq={kernelName:eu,backendName:"webgl",kernelFunc:pq},hq=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,c=1/(t*a);this.userCode=` const ivec2 pads = ivec2(${u}, ${p}); const float avgMultiplier = float(${c}); @@ -1985,7 +1985,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},MH=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,a=e.filterHeight,n=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,c=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=p-1-e.padInfo.front,f=c-1-e.padInfo.top,m=d-1-e.padInfo.left,g=1/(t*a*n);this.userCode=` + `}},fq=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,a=e.filterHeight,n=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,c=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=p-1-e.padInfo.front,f=c-1-e.padInfo.top,m=d-1-e.padInfo.left,g=1/(t*a*n);this.userCode=` const ivec3 pads = ivec3(${h}, ${f}, ${m}); const float avgMultiplier = float(${g}); @@ -2041,7 +2041,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}};function $H(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=n,c=[1,1,1],d=T.computePool3DInfo(i.shape,o,l,c,u,p),h=new MH(d);return a.runWebGLProgram(h,[r],i.dtype)}var _H={kernelName:L2,backendName:"webgl",kernelFunc:$H};function PH(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;uu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=T.computePool2DInfo(i.shape,o,l,1,u),c=new RH(p);return a.runWebGLProgram(c,[r],i.dtype)}var FH={kernelName:Xc,backendName:"webgl",kernelFunc:PH};function OH(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;return Lc({a:r,b:s,transposeA:i,transposeB:o,backend:a})}var DH={kernelName:ei,backendName:"webgl",kernelFunc:OH},zH=class{constructor(e,t,a,n,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],T.assertAndGetBroadcastShape(e,t),T.assertAndGetBroadcastShape(e,a);let i="0.0";n!=null&&(T.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(T.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}};function mq(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=n,c=[1,1,1],d=S.computePool3DInfo(i.shape,o,l,c,u,p),h=new fq(d);return a.runWebGLProgram(h,[r],i.dtype)}var gq={kernelName:ep,backendName:"webgl",kernelFunc:mq};function yq(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;Pu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=S.computePool2DInfo(i.shape,o,l,1,u),c=new hq(p);return a.runWebGLProgram(c,[r],i.dtype)}var xq={kernelName:kh,backendName:"webgl",kernelFunc:yq};function Aq(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;return fh({a:r,b:s,transposeA:i,transposeB:o,backend:a})}var bq={kernelName:di,backendName:"webgl",kernelFunc:Aq},vq=class{constructor(e,t,a,n,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,a);let i="0.0";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(S.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -2051,7 +2051,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam float inv = scale * inversesqrt(variance + float(${s})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } - `}},LH=class{constructor(e,t,a,n,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],T.assertAndGetBroadcastShape(e,t),T.assertAndGetBroadcastShape(e,a);let i="vec4(0.0)";n!=null&&(T.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(T.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}},wq=class{constructor(e,t,a,n,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,a);let i="vec4(0.0)";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(S.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { vec4 offset = ${i}; vec4 scale = ${o}; @@ -2064,7 +2064,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam setOutput((x - mean) * inv + offset); } - `}},BH=({inputs:e,backend:t,attrs:a})=>{let{x:n,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=a;l==null&&(l=.001);let u=[n,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let c=null;o!=null&&(c=o.shape,u.push(o));let d=V().getBool("WEBGL_PACK_NORMALIZATION")?new LH(n.shape,r.shape,s.shape,p,c,l):new zH(n.shape,r.shape,s.shape,p,c,l);return t.runWebGLProgram(d,u,u[0].dtype)},WH={kernelName:Ai,backendName:"webgl",kernelFunc:BH},VH=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let a=UH(this.rank),n,r=e.map((s,i)=>`sourceLoc.${k2[i]} = start[${i}] + coords.${k2[i]};`);n=` + `}},kq=({inputs:e,backend:t,attrs:a})=>{let{x:n,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=a;l==null&&(l=.001);let u=[n,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let c=null;o!=null&&(c=o.shape,u.push(o));let d=W().getBool("WEBGL_PACK_NORMALIZATION")?new wq(n.shape,r.shape,s.shape,p,c,l):new vq(n.shape,r.shape,s.shape,p,c,l);return t.runWebGLProgram(d,u,u[0].dtype)},Iq={kernelName:$i,backendName:"webgl",kernelFunc:kq},Sq=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ft(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let a=Cq(this.rank),n,r=e.map((s,i)=>`sourceLoc.${S1[i]} = start[${i}] + coords.${S1[i]};`);n=` ${t} sourceLoc; ${t} coords = getOutputCoords(); ${r.join(` @@ -2074,7 +2074,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${n} setOutput(getSource(${a})); } - `}},k2=["x","y","z","w","u","v"];function UH(e){if(e===1)return"sourceLoc";if(e<=6)return k2.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var GH=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),a=wa("coords",this.rank),n=wa("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${n.slice(-2).join()})`,s=`getChannel(getSource(${n.join()}), ${r})`,i=` + `}},S1=["x","y","z","w","u","v"];function Cq(e){if(e===1)return"sourceLoc";if(e<=6)return S1.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var Tq=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=ft(this.rank),a=Ia("coords",this.rank),n=Ia("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${n.slice(-2).join()})`,s=`getChannel(getSource(${n.join()}), ${r})`,i=` result.x = ${s}; if (++${a[this.rank-1]} < ${e[this.rank-1]}) { ++${n[this.rank-1]}; @@ -2103,7 +2103,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${o} setOutput(result); } - `}};function HH(e,t,a,n){let r=n.texData.get(e.dataId),s=n.makeTensorInfo(a,e.dtype),i=n.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=a,i.dtype=e.dtype;let o=St.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,l+1),s}function gu(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n,[o,l]=St.parseSliceParams(r,s,i);if(St.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return a.makeTensorInfo(l,r.dtype,[]);if(a.shouldExecuteOnCPU([r])||r.dtype==="string"){let c=a.texData.get(r.dataId),d=OU(c.values,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,d)}let{isPacked:u}=a.texData.get(r.dataId),p=St.isSliceContinous(r.shape,o,l);if(u||!p){let c=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new GH(l):new VH(l),d=[o];return a.runWebGLProgram(c,[r],r.dtype,d)}return a.uploadToGPU(r.dataId),HH(r,o,l,a)}var jH={kernelName:Xl,backendName:"webgl",kernelFunc:gu},qH=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((x,A)=>x*A),l=T.getReshaped(r.shape,s,o),u=T.getPermuted(l.length,s.length),p=T.getReshapedPermuted(r.shape,s,o),c=T.getSliceBeginCoords(i,s.length),d=T.getSliceSize(p,i,s.length),h=[],f=pe({inputs:{x:r},backend:a,attrs:{shape:l}}),m=Ta({inputs:{x:f},backend:a,attrs:{perm:u}}),g=pe({inputs:{x:m},backend:a,attrs:{shape:p}}),y=gu({inputs:{x:g},backend:a,attrs:{begin:c,size:d}});return h.push(f),h.push(m),h.push(g),h.forEach(x=>a.disposeIntermediateTensorInfo(x)),y},XH={kernelName:El,backendName:"webgl",kernelFunc:qH};function KH(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=a.readSync(r.dataId),l=a.readSync(s.dataId),u=z6(o,l,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,u)}var ZH={kernelName:Sd,backendName:"webgl",kernelFunc:KH};function YH(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t,s=a.readSync(n.dataId),i=a.readSync(r.dataId),o=T.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return a.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var JH={kernelName:Zc,backendName:"webgl",kernelFunc:YH},QH="return float(a != b);",Q6=pa({opSnippet:QH,cpuKernelImpl:CU,dtype:"bool"}),ej={kernelName:Bi,backendName:"webgl",kernelFunc:Q6};function mp(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.texData.get(n.dataId);return Qa({inputs:{x:r.complexTensorInfos.real},backend:a})}var tj={kernelName:Dd,backendName:"webgl",kernelFunc:mp},aj="return float(int(x));";function nj(e,t){let a=new qn(e.shape,aj),n=t.runWebGLProgram(a,[e],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function w2(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return Qa({inputs:{x:r},backend:a});let i=gn(r.shape),o=w2({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),l=ls({inputs:{real:o,imag:i},backend:a});return i.dispose(),a.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=mp({inputs:{input:r},backend:a}),o=w2({inputs:{x:i},backend:a,attrs:{dtype:s}});return a.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=Qa({inputs:{x:r},backend:a});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(a.shouldExecuteOnCPU([r])){let i=a.texData.get(r.dataId).values,[o,l,u]=oU(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}if(s==="int32")return nj(r,a);if(s==="bool"){let i=a.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=Q6({inputs:{a:r,b:i},backend:a});return a.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var rj={kernelName:ti,backendName:"webgl",kernelFunc:w2},vy="return ceil(x);",sj=Qe({opSnippet:vy,packedOpSnippet:vy,cpuKernelImpl:lU}),ij={kernelName:ai,backendName:"webgl",kernelFunc:sj},oj=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}};function Nq(e,t,a,n){let r=n.texData.get(e.dataId),s=n.makeTensorInfo(a,e.dtype),i=n.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=a,i.dtype=e.dtype;let o=Nt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,l+1),s}function Uu(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n,[o,l]=Nt.parseSliceParams(r,s,i);if(Nt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return a.makeTensorInfo(l,r.dtype,[]);if(a.shouldExecuteOnCPU([r])||r.dtype==="string"){let c=a.texData.get(r.dataId),d=xH(c.values,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,d)}let{isPacked:u}=a.texData.get(r.dataId),p=Nt.isSliceContinous(r.shape,o,l);if(u||!p){let c=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Tq(l):new Sq(l),d=[o];return a.runWebGLProgram(c,[r],r.dtype,d)}return a.uploadToGPU(r.dataId),Nq(r,o,l,a)}var Rq={kernelName:Iu,backendName:"webgl",kernelFunc:Uu},Eq=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((x,A)=>x*A),l=S.getReshaped(r.shape,s,o),u=S.getPermuted(l.length,s.length),p=S.getReshapedPermuted(r.shape,s,o),c=S.getSliceBeginCoords(i,s.length),d=S.getSliceSize(p,i,s.length),h=[],f=ue({inputs:{x:r},backend:a,attrs:{shape:l}}),m=Ta({inputs:{x:f},backend:a,attrs:{perm:u}}),g=ue({inputs:{x:m},backend:a,attrs:{shape:p}}),y=Uu({inputs:{x:g},backend:a,attrs:{begin:c,size:d}});return h.push(f),h.push(m),h.push(g),h.forEach(x=>a.disposeIntermediateTensorInfo(x)),y},Mq={kernelName:tu,backendName:"webgl",kernelFunc:Eq};function Fq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=a.readSync(r.dataId),l=a.readSync(s.dataId),u=zv(o,l,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,u)}var _q={kernelName:pi,backendName:"webgl",kernelFunc:Fq};function $q(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t,s=a.readSync(n.dataId),i=a.readSync(r.dataId),o=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return a.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var Dq={kernelName:au,backendName:"webgl",kernelFunc:$q},Pq="return float(a != b);",Qv=fa({opSnippet:Pq,cpuKernelImpl:uH,dtype:"bool"}),Oq={kernelName:oo,backendName:"webgl",kernelFunc:Qv};function Gp(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.texData.get(n.dataId);return en({inputs:{x:r.complexTensorInfos.real},backend:a})}var zq={kernelName:cp,backendName:"webgl",kernelFunc:Gp},Lq="return float(int(x));";function Wq(e,t){let a=new Yn(e.shape,Lq),n=t.runWebGLProgram(a,[e],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function C1(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return en({inputs:{x:r},backend:a});let i=gn(r.shape),o=C1({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),l=ds({inputs:{real:o,imag:i},backend:a});return i.dispose(),a.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=Gp({inputs:{input:r},backend:a}),o=C1({inputs:{x:i},backend:a,attrs:{dtype:s}});return a.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=en({inputs:{x:r},backend:a});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(a.shouldExecuteOnCPU([r])){let i=a.texData.get(r.dataId).values,[o,l,u]=UG(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}if(s==="int32")return Wq(r,a);if(s==="bool"){let i=a.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=Qv({inputs:{a:r,b:i},backend:a});return a.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var Bq={kernelName:ci,backendName:"webgl",kernelFunc:C1},mx="return ceil(x);",Vq=et({opSnippet:mx,packedOpSnippet:mx,cpuKernelImpl:GG}),Uq={kernelName:hi,backendName:"webgl",kernelFunc:Vq},Gq=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { float value = getAAtOutCoords(); @@ -2114,7 +2114,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam setOutput(clamp(value, minVal, maxVal)); } - `}},lj=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}},Hq=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { vec4 value = getAAtOutCoords(); @@ -2125,7 +2125,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } - `}};function uj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=n,o;V().getBool("WEBGL_PACK_CLIP")?o=new lj(r.shape):o=new oj(r.shape);let l=[[s],[i]];return a.runWebGLProgram(o,[r],r.dtype,l)}var dj={kernelName:as,backendName:"webgl",kernelFunc:uj},pj=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` + `}};function jq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=n,o;W().getBool("WEBGL_PACK_CLIP")?o=new Hq(r.shape):o=new Gq(r.shape);let l=[[s],[i]];return a.runWebGLProgram(o,[r],r.dtype,l)}var qq={kernelName:rs,backendName:"webgl",kernelFunc:jq},Xq=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); @@ -2138,7 +2138,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } - `}};function ky(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function cj(e){let{inputs:t,backend:a}=e,{x:n}=t,r=a.texData.get(n.dataId),s=new pj(n.shape),i=[ky(n,r.complexTensorInfos.real),ky(n,r.complexTensorInfos.imag)];return a.runWebGLProgram(s,i,i[0].dtype)}var hj={kernelName:Yc,backendName:"webgl",kernelFunc:cj},fj=class{constructor(e){this.outputShape=[],this.outputShape=T.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s`T${m}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let f=1;f`T${m}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let f=1;f= ${o[f-1]}) { return getChannel( - getT${f}(${fc(i,l,m)}), - vec2(${fc(u,l,m)})); + getT${f}(${Gc(i,l,m)}), + vec2(${Gc(u,l,m)})); }`}let d=o.length,h=o[o.length-1];c+=` return getChannel( - getT${d}(${fc(i,l,h)}), - vec2(${fc(u,l,h)}));`,this.userCode=` + getT${d}(${Gc(i,l,h)}), + vec2(${Gc(u,l,h)}));`,this.userCode=` float getValue(${i.map(f=>"int "+f)}) { ${c} } @@ -2184,7 +2184,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(result); } - `}};function fc(e,t,a){let n=e.indexOf(t);return e.map((r,s)=>s===n?`${r} - ${a}`:r).join()}function _h(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.texData.get(n.dataId);return Qa({inputs:{x:r.complexTensorInfos.imag},backend:a})}var gj={kernelName:Pd,backendName:"webgl",kernelFunc:_h};function Ku(e,t,a){let n=e[0].dtype;if(n==="complex64"){let h=e.map(x=>mp({inputs:{input:x},backend:a})),f=e.map(x=>_h({inputs:{input:x},backend:a})),m=Ku(h,t,a),g=Ku(f,t,a),y=ls({inputs:{real:m,imag:g},backend:a});return h.forEach(x=>a.disposeIntermediateTensorInfo(x)),f.forEach(x=>a.disposeIntermediateTensorInfo(x)),a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),y}let r=a.shouldExecuteOnCPU(e);if(n==="string"&&(r=!0),r){let h=e.map(b=>{let k=[-1,v.sizeFromShape(b.shape.slice(t))];return pe({inputs:{x:b},backend:a,attrs:{shape:k}})}),f=h.map(b=>({vals:a.readSync(b.dataId),shape:b.shape})),m=T.computeOutShape(h.map(b=>b.shape),1),g=h[0].shape[0]===1,y=uU(f,m,n,g),x=T.computeOutShape(e.map(b=>b.shape),t),A=a.makeTensorInfo(x,n,y);return h.forEach(b=>a.disposeIntermediateTensorInfo(b)),A}let s=e.filter(h=>v.sizeFromShape(h.shape)>0),i=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let h=i?new qn(e[0].shape,Or):new Wr(e[0].shape,Or);return a.runWebGLProgram(h,e,n)}let o=V().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>o){let h=[];for(let m=0;mf.shape),t);return a.runWebGLProgram(h,s,n)}let{tensors2D:l,outShape:u}=yj(s,t,a),p=new fj(l.map(h=>h.shape)),c=a.runWebGLProgram(p,l,n);l.forEach(h=>a.disposeIntermediateTensorInfo(h));let d=pe({inputs:{x:c},attrs:{shape:u},backend:a});return a.disposeIntermediateTensorInfo(c),d}function yj(e,t,a){let n=T.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>pe({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:a})),outShape:n}}function ev(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);T.assertParamsConsistent(i,s);let o=T.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?Qa({inputs:{x:l[0]},backend:a}):Ku(l,s,a)}var xj={kernelName:Rl,backendName:"webgl",kernelFunc:ev},tv=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,c=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",g=m?1:2,y=m?2:3,x=m?3:1,A="",b="";a&&(n?A=`float activation(float a) { + `}};function Gc(e,t,a){let n=e.indexOf(t);return e.map((r,s)=>s===n?`${r} - ${a}`:r).join()}function t0(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.texData.get(n.dataId);return en({inputs:{x:r.complexTensorInfos.imag},backend:a})}var Qq={kernelName:up,backendName:"webgl",kernelFunc:t0};function wd(e,t,a){let n=e[0].dtype;if(n==="complex64"){let h=e.map(x=>Gp({inputs:{input:x},backend:a})),f=e.map(x=>t0({inputs:{input:x},backend:a})),m=wd(h,t,a),g=wd(f,t,a),y=ds({inputs:{real:m,imag:g},backend:a});return h.forEach(x=>a.disposeIntermediateTensorInfo(x)),f.forEach(x=>a.disposeIntermediateTensorInfo(x)),a.disposeIntermediateTensorInfo(m),a.disposeIntermediateTensorInfo(g),y}let r=a.shouldExecuteOnCPU(e);if(n==="string"&&(r=!0),r){let h=e.map(b=>{let w=[-1,v.sizeFromShape(b.shape.slice(t))];return ue({inputs:{x:b},backend:a,attrs:{shape:w}})}),f=h.map(b=>({vals:a.readSync(b.dataId),shape:b.shape})),m=S.computeOutShape(h.map(b=>b.shape),1),g=h[0].shape[0]===1,y=HG(f,m,n,g),x=S.computeOutShape(e.map(b=>b.shape),t),A=a.makeTensorInfo(x,n,y);return h.forEach(b=>a.disposeIntermediateTensorInfo(b)),A}let s=e.filter(h=>v.sizeFromShape(h.shape)>0),i=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let h=i?new Yn(e[0].shape,Lr):new Gr(e[0].shape,Lr);return a.runWebGLProgram(h,e,n)}let o=W().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>o){let h=[];for(let m=0;mf.shape),t);return a.runWebGLProgram(h,s,n)}let{tensors2D:l,outShape:u}=eX(s,t,a),p=new Zq(l.map(h=>h.shape)),c=a.runWebGLProgram(p,l,n);l.forEach(h=>a.disposeIntermediateTensorInfo(h));let d=ue({inputs:{x:c},attrs:{shape:u},backend:a});return a.disposeIntermediateTensorInfo(c),d}function eX(e,t,a){let n=S.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>ue({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:a})),outShape:n}}function e8(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);S.assertParamsConsistent(i,s);let o=S.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?en({inputs:{x:l[0]},backend:a}):wd(l,s,a)}var tX={kernelName:nu,backendName:"webgl",kernelFunc:e8},t8=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,c=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",g=m?1:2,y=m?2:3,x=m?3:1,A="",b="";a&&(n?A=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${a} }`:r?A=`float activation(float a) { @@ -2194,7 +2194,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam float activation(float x) { ${a} } - `,b="result = activation(result);");let k=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=` + `,b="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=` ${A} const ivec2 strides = ivec2(${o}, ${l}); @@ -2314,11 +2314,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } float result = dotProd; - ${k} + ${w} ${b} setOutput(result); } - `}},Aj=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,a=e.padInfo.top,n=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,c=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode=` + `}},aX=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,a=e.padInfo.top,n=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,c=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${r}, ${s}, ${i}); const ivec3 pads = ivec3(${t}, ${a}, ${n}); @@ -2406,7 +2406,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},av=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Ra(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,c=` + `}},a8=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ya(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,c=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let m=0;m=3?t?[...e.slice(0,-3),e[a-3]*e[a-2],e[a-1]]:[...e.slice(0,-3),e[a-3],e[a-2]*e[a-1]]:!t&&a===1&&e[0]>1?[e[0],1]:null}function nv({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=n.texData.get(e.dataId),p=a.inChannels,c=l[0]*l[1]*l[2],d=a.outChannels,h=a.dataFormat==="channelsLast",f=!1,m=!1,g,y=[];if(s!=null){let x=Bc(s.shape,h);x!=null&&(s=pe({inputs:{x:s},backend:n,attrs:{shape:x}}),y.push(s))}if(r!=null){let x=Bc(r.shape,h);x!=null&&(r=pe({inputs:{x:r},backend:n,attrs:{shape:x}}),y.push(r))}if(!((c===1||d===1)&&p>K6)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let x=l[0]*l[1]*(l[2]+1),A={dataId:e.dataId,shape:[1,x,a.inChannels],dtype:e.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(gd(u.shape,A.shape),()=>`packed reshape ${u.shape} to ${A.shape} isn't free`);let k=pe({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}});y.push(k);let S=Lc({a:A,b:k,backend:n,transposeA:f,transposeB:m,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=n.texData.get(S.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=b,C.shape=a.outShape,g=Qa({inputs:{x:S},backend:n}),g.shape=a.outShape,y.push(S)}else{let x=a.outHeight*a.outWidth,A=pe({inputs:{x:e},backend:n,attrs:{shape:h?[a.batchSize,x,a.inChannels]:[a.batchSize,a.inChannels,x]}}),b=pe({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}}),k=Lc({a:h?A:b,b:h?b:A,transposeA:!h,transposeB:m,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=pe({inputs:{x:k},backend:n,attrs:{shape:a.outShape}}),y.push(A),y.push(b),y.push(k)}for(let x of y)n.disposeIntermediateTensorInfo(x);return g}function rv({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:c,outHeight:d,dataFormat:h}=a,f=h==="channelsLast",m=l*u*p,g=d*c,y=[a.batchSize,m,g],x=!0,A=!1,b=[];if(s!=null){let G=Bc(s.shape,f);G!=null&&(s=pe({inputs:{x:s},backend:n,attrs:{shape:G}}),b.push(s))}if(r!=null){let G=Bc(r.shape,f);G!=null&&(r=pe({inputs:{x:r},backend:n,attrs:{shape:G}}),b.push(r))}let k=pe({inputs:{x:t},backend:n,attrs:{shape:[1,m,v.sizeFromShape(t.shape)/m]}});b.push(k);let S=new bj(y,a),C=[e.shape,[a.padInfo.top,a.padInfo.left],[a.strideHeight,a.strideWidth],[a.dilationHeight,a.dilationWidth],[a.inChannels],[a.filterWidth*a.inChannels],[a.outWidth]],N=n.runWebGLProgram(S,[e],"float32",C),$=pe({inputs:{x:N},backend:n,attrs:{shape:y}});b.push(N),b.push($);let M=r!=null,R=s!=null,I=o==="leakyrelu",_=o?yd(o,!0):null,D=new X6(f?$.shape:k.shape,f?k.shape:$.shape,f?[a.batchSize,g,a.outChannels]:[a.batchSize,a.outChannels,g],x,A,M,_,R,I),W=f?[$,k]:[k,$];if(r&&W.push(r),R&&W.push(s),I){let G=n.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));W.push(G),b.push(G)}let P=n.runWebGLProgram(D,W,"float32"),U=pe({inputs:{x:P},backend:n,attrs:{shape:a.outShape}});b.push(P);for(let G of b)n.disposeIntermediateTensorInfo(G);return U}function vj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n,c=T.convertConv2DDataFormat(l),d=T.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c),h;if(d.filterHeight===1&&d.filterWidth===1&&d.dilationHeight===1&&d.dilationWidth===1&&d.strideHeight===1&&d.strideWidth===1&&(d.padInfo.type==="SAME"||d.padInfo.type==="VALID"))h=nv({x:r,filter:s,convInfo:d,backend:a});else if(d.strideWidth<=2&&c==="channelsLast"&&V().getBool("WEBGL_EXP_CONV")){let m=new av(d),g=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];h=a.runWebGLProgram(m,[r,s],"float32",g)}else if(V().getBool("WEBGL_CONV_IM2COL"))h=rv({x:r,filter:s,convInfo:d,backend:a});else{let m=new tv(d);h=a.runWebGLProgram(m,[r,s],"float32")}let f=pe({inputs:{x:h},backend:a,attrs:{shape:d.outShape}});return a.disposeIntermediateTensorInfo(h),f}var kj={kernelName:ni,backendName:"webgl",kernelFunc:vj},wj=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,a=e.strideWidth,n=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` + `}};function mh(e,t){let a=e.length;return a>=3?t?[...e.slice(0,-3),e[a-3]*e[a-2],e[a-1]]:[...e.slice(0,-3),e[a-3],e[a-2]*e[a-1]]:!t&&a===1&&e[0]>1?[e[0],1]:null}function n8({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=n.texData.get(e.dataId),p=a.inChannels,c=l[0]*l[1]*l[2],d=a.outChannels,h=a.dataFormat==="channelsLast",f=!1,m=!1,g,y=[];if(s!=null){let x=mh(s.shape,h);x!=null&&(s=ue({inputs:{x:s},backend:n,attrs:{shape:x}}),y.push(s))}if(r!=null){let x=mh(r.shape,h);x!=null&&(r=ue({inputs:{x:r},backend:n,attrs:{shape:x}}),y.push(r))}if(!((c===1||d===1)&&p>Kv)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let x=l[0]*l[1]*(l[2]+1),A={dataId:e.dataId,shape:[1,x,a.inChannels],dtype:e.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(Gd(u.shape,A.shape),()=>`packed reshape ${u.shape} to ${A.shape} isn't free`);let w=ue({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}});y.push(w);let C=fh({a:A,b:w,backend:n,transposeA:f,transposeB:m,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),T=n.texData.get(C.dataId);v.assert(T.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=b,T.shape=a.outShape,g=en({inputs:{x:C},backend:n}),g.shape=a.outShape,y.push(C)}else{let x=a.outHeight*a.outWidth,A=ue({inputs:{x:e},backend:n,attrs:{shape:h?[a.batchSize,x,a.inChannels]:[a.batchSize,a.inChannels,x]}}),b=ue({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}}),w=fh({a:h?A:b,b:h?b:A,transposeA:!h,transposeB:m,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=ue({inputs:{x:w},backend:n,attrs:{shape:a.outShape}}),y.push(A),y.push(b),y.push(w)}for(let x of y)n.disposeIntermediateTensorInfo(x);return g}function r8({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:c,outHeight:d,dataFormat:h}=a,f=h==="channelsLast",m=l*u*p,g=d*c,y=[a.batchSize,m,g],x=!0,A=!1,b=[];if(s!=null){let G=mh(s.shape,f);G!=null&&(s=ue({inputs:{x:s},backend:n,attrs:{shape:G}}),b.push(s))}if(r!=null){let G=mh(r.shape,f);G!=null&&(r=ue({inputs:{x:r},backend:n,attrs:{shape:G}}),b.push(r))}let w=ue({inputs:{x:t},backend:n,attrs:{shape:[1,m,v.sizeFromShape(t.shape)/m]}});b.push(w);let C=new nX(y,a),T=[e.shape,[a.padInfo.top,a.padInfo.left],[a.strideHeight,a.strideWidth],[a.dilationHeight,a.dilationWidth],[a.inChannels],[a.filterWidth*a.inChannels],[a.outWidth]],N=n.runWebGLProgram(C,[e],"float32",T),M=ue({inputs:{x:N},backend:n,attrs:{shape:y}});b.push(N),b.push(M);let F=r!=null,E=s!=null,I=o==="leakyrelu",_=o?Hd(o,!0):null,O=new Xv(f?M.shape:w.shape,f?w.shape:M.shape,f?[a.batchSize,g,a.outChannels]:[a.batchSize,a.outChannels,g],x,A,F,_,E,I),B=f?[M,w]:[w,M];if(r&&B.push(r),E&&B.push(s),I){let G=n.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));B.push(G),b.push(G)}let $=n.runWebGLProgram(O,B,"float32"),U=ue({inputs:{x:$},backend:n,attrs:{shape:a.outShape}});b.push($);for(let G of b)n.disposeIntermediateTensorInfo(G);return U}function rX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n,c=S.convertConv2DDataFormat(l),d=S.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c),h;if(d.filterHeight===1&&d.filterWidth===1&&d.dilationHeight===1&&d.dilationWidth===1&&d.strideHeight===1&&d.strideWidth===1&&(d.padInfo.type==="SAME"||d.padInfo.type==="VALID"))h=n8({x:r,filter:s,convInfo:d,backend:a});else if(d.strideWidth<=2&&c==="channelsLast"&&W().getBool("WEBGL_EXP_CONV")){let m=new a8(d),g=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];h=a.runWebGLProgram(m,[r,s],"float32",g)}else if(W().getBool("WEBGL_CONV_IM2COL"))h=r8({x:r,filter:s,convInfo:d,backend:a});else{let m=new t8(d);h=a.runWebGLProgram(m,[r,s],"float32")}let f=ue({inputs:{x:h},backend:a,attrs:{shape:d.outShape}});return a.disposeIntermediateTensorInfo(h),f}var sX={kernelName:fi,backendName:"webgl",kernelFunc:rX},iX=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,a=e.strideWidth,n=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -2676,22 +2676,17 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam continue; } - if (${s}) { - float dyValue = getDy(b, yR, yC, d2); - float xValue = getX(b, xR, xC, d1); - dotProd += (xValue * dyValue); - } else { - float dyValue = getDy(b, d2, yR, yC); - float xValue = getX(b, d1, xR, xC); - dotProd += (xValue * dyValue); - } - + ${s?`float dyValue = getDy(b, yR, yC, d2); + float xValue = getX(b, xR, xC, d1); + dotProd += (xValue * dyValue);`:`float dyValue = getDy(b, d2, yR, yC); + float xValue = getX(b, d1, xR, xC); + dotProd += (xValue * dyValue);`} } } } setOutput(dotProd); } - `}},Ij=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=a-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` + `}},oX=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=a-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -2744,7 +2739,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},Sj=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,a=e.strideHeight,n=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` + `}},lX=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,a=e.strideHeight,n=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; @@ -2786,7 +2781,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},Tj=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,a=e.filterHeight,n=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=a-1-e.padInfo.top,u=n-1-e.padInfo.left;this.userCode=` + `}},uX=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,a=e.filterHeight,n=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=a-1-e.padInfo.top,u=n-1-e.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${o}, ${l}, ${u}); void main() { @@ -2843,12 +2838,91 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}};function Cj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=n,c=T.convertConv2DDataFormat(l),d=T.computeConv2DInfo(r.shape,p,i,1,o,u,!1,c),h=new wj(d);return a.runWebGLProgram(h,[r,s],"float32")}var Nj={kernelName:Cd,backendName:"webgl",kernelFunc:Cj};function Ej(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=n,c=T.convertConv2DDataFormat(u),d=T.computeConv2DInfo(i,s.shape,o,1,l,p,!1,c),h=new Ij(d);return a.runWebGLProgram(h,[r,s],"float32")}var Rj={kernelName:ri,backendName:"webgl",kernelFunc:Ej};function Mj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=T.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new Aj(u);return a.runWebGLProgram(p,[r,s],"float32")}var $j={kernelName:Jc,backendName:"webgl",kernelFunc:Mj};function _j(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=n,u=T.computeConv3DInfo(r.shape,l,i,1,o),p=new Sj(u);return a.runWebGLProgram(p,[r,s],"float32")}var Pj={kernelName:B2,backendName:"webgl",kernelFunc:_j};function Fj(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=n,u=T.computeConv3DInfo(l,s.shape,o,1,i),p=new Tj(u);return a.runWebGLProgram(p,[r,s],"float32")}var Oj={kernelName:Qc,backendName:"webgl",kernelFunc:Fj},Dj=mu+` + `}};function dX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=n,c=S.convertConv2DDataFormat(l),d=S.computeConv2DInfo(r.shape,p,i,1,o,u,!1,c),h=new iX(d);return a.runWebGLProgram(h,[r,s],"float32")}var pX={kernelName:np,backendName:"webgl",kernelFunc:dX},cX=class{constructor(e){this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=e.inShape,this.enableShapeUniforms=ya(this.outputShape.length);let t=e.filterHeight,a=e.filterWidth,n=t-1-e.padInfo.top,r=a-1-e.padInfo.left;this.userCode=` + const ivec2 pads = ivec2(${n}, ${r}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d1 = coords[3]; + + ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads; + int dyRCorner = dyCorner.x; + int dyCCorner = dyCorner.y; + + vec4 result = vec4(0.); + for (int wR = 0; wR < ${t}; wR++) { + float dyR = float(dyRCorner + wR) / strides[0]; + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + int wRPerm = ${t} - 1 - wR; + + for (int wC = 0; wC < ${a}; wC++) { + int wCPerm = ${a} - 1 - wC; + + float dyC = float(dyCCorner + wC) / strides[1]; + bool idyCVal = (dyC >= 0.0) && (dyC < ${e.outWidth}.0) + && (fract(dyC) == 0.0); + int idyC = int(dyC); + + float dyC2 = float(dyCCorner + wC + 1) / strides[1]; + bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ${e.outWidth}.0) + && (fract(dyC2) == 0.0); + int idyC2 = int(dyC2); + + if (idyCVal && idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec4 dySample2 = (idyC / 2 == idyC2 / 2) ? + dySample : getDy(batch, idyR, idyC2, d2); + + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + + dyValue = mod(float(idyC2), 2.) == 0. ? + dySample2.xy : dySample2.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC2, d2); + vec2 dyValue = mod(float(idyC2), 2.) == 0. ? + dySample.xy : dySample.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } + } + } + setOutput(result); + } + `}};function hX(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=n,c=S.convertConv2DDataFormat(u),d=S.computeConv2DInfo(i,s.shape,o,1,l,p,!1,c);if(W().getBool("WEBGL_PACK")&&c==="channelsLast"){let h=[[d.strideHeight,d.strideWidth]],f=new cX(d);return a.runWebGLProgram(f,[r,s],"float32",h)}else{let h=new oX(d);return a.runWebGLProgram(h,[r,s],"float32")}}var fX={kernelName:mi,backendName:"webgl",kernelFunc:hX};function mX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=S.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new aX(u);return a.runWebGLProgram(p,[r,s],"float32")}var gX={kernelName:gi,backendName:"webgl",kernelFunc:mX};function yX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=n,u=S.computeConv3DInfo(r.shape,l,i,1,o),p=new lX(u);return a.runWebGLProgram(p,[r,s],"float32")}var xX={kernelName:ru,backendName:"webgl",kernelFunc:yX};function AX(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=n,u=S.computeConv3DInfo(l,s.shape,o,1,i),p=new uX(u);return a.runWebGLProgram(p,[r,s],"float32")}var bX={kernelName:yi,backendName:"webgl",kernelFunc:AX},vX=Vu+` return cos(x); -`,zj=Qe({opSnippet:Dj}),Lj={kernelName:si,backendName:"webgl",kernelFunc:zj},Bj=` +`,wX=` + vec4 result = cos(x); + bvec4 isNaN = isnan(x); + ${Xo} + return result; +`,kX=et({opSnippet:vX,packedOpSnippet:wX}),IX={kernelName:xi,backendName:"webgl",kernelFunc:kX},SX=` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; -`,Wj=Qe({opSnippet:Bj}),Vj={kernelName:ii,backendName:"webgl",kernelFunc:Wj},Uj=class{constructor(e,t,a,n,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,c]=a;this.outputShape=[u,p,c,l];let d=n==="bilinear"?1:0,[h,f]=[`${i-1}.0`,`${o-1}.0`],[m,g,y]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[x,A,b]=c>1?[`${(o-1)/(c-1)}`,"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${f}`];this.userCode=` +`,CX=et({opSnippet:SX}),TX={kernelName:Ai,backendName:"webgl",kernelFunc:CX},NX=class{constructor(e,t,a,n,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,c]=a;this.outputShape=[u,p,c,l];let d=n==="bilinear"?1:0,[h,f]=[`${i-1}.0`,`${o-1}.0`],[m,g,y]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[x,A,b]=c>1?[`${(o-1)/(c-1)}`,"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${f}`];this.userCode=` const float height_ratio = float(${m}); const float width_ratio = float(${x}); void main() { @@ -2909,20 +2983,20 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam setOutput(newValue); } } - `}},Gj=e=>{let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,p=new Uj(r.shape,s.shape,o,l,u);return a.runWebGLProgram(p,[r,s,i],"float32")},Hj={kernelName:ui,backendName:"webgl",kernelFunc:Gj},Ad;(function(e){e.Prod="*",e.Sum="+"})(Ad||(Ad={}));var wy=class{constructor(e,t,a,n){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===Ad.Prod?"1.0":"0.0",i=a?s:`getX(${Iy(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";a?(l=n?`end != ${o-1}`:"end != 0",u=n?"end + 1":"end - 1"):(l=n?`end + pow2 < ${o}`:"end >= pow2",u=n?"end + pow2":"end - pow2"),this.userCode=` + `}},RX=e=>{let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,p=new NX(r.shape,s.shape,o,l,u);return a.runWebGLProgram(p,[r,s,i],"float32")},EX={kernelName:wi,backendName:"webgl",kernelFunc:RX},qd;(function(e){e.Prod="*",e.Sum="+"})(qd||(qd={}));var yx=class{constructor(e,t,a,n){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===qd.Prod?"1.0":"0.0",i=a?s:`getX(${xx(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";a?(l=n?`end != ${o-1}`:"end != 0",u=n?"end + 1":"end - 1"):(l=n?`end + pow2 < ${o}`:"end >= pow2",u=n?"end + pow2":"end - pow2"),this.userCode=` void main() { - ${gt(r)} coords = getOutputCoords(); - int end = ${Sy(r,"coords",this.op)}; + ${ft(r)} coords = getOutputCoords(); + int end = ${Ax(r,"coords",this.op)}; float val = ${i}; int pow2 = int(pow(2.0, index)); if (${l}) { int idx = ${u}; - ${Sy(r,"coords",this.op)} = idx; - val ${this.op}= getX(${Iy(r,"coords",this.op)}); + ${Ax(r,"coords",this.op)} = idx; + val ${this.op}= getX(${xx(r,"coords",this.op)}); } setOutput(val); } - `}};function Iy(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function Sy(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function sv(e,t,a,n,r,s){let i=t.shape.length,o=T.getAxesPermutation([n],i),l=t;o!=null&&(l=Ta({inputs:{x:t},backend:a,attrs:{perm:o}}));let u=T.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let p=l.shape[u],c=Qa({inputs:{x:l},backend:a});for(let d=0;d<=Math.ceil(Math.log2(p))-1;d++){let h=new wy(e,l.shape,!1,s),f=[[d]],m=c;c=a.runWebGLProgram(h,[c],c.dtype,f),a.disposeIntermediateTensorInfo(m)}if(r){let d=new wy(e,l.shape,r,s),h=c;c=a.runWebGLProgram(d,[c],c.dtype),a.disposeIntermediateTensorInfo(h)}if(o!=null){let d=T.getUndoAxesPermutation(o),h=Ta({inputs:{x:c},backend:a,attrs:{perm:d}});return a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(l),h}return c}function jj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return sv(Ad.Prod,r,a,s,i,o)}var qj={kernelName:oi,backendName:"webgl",kernelFunc:jj};function Xj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return sv(Ad.Sum,r,a,s,i,o)}var Kj={kernelName:li,backendName:"webgl",kernelFunc:Xj};function Zj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=n;if(r.shape.length===1){let l=a.readSync(r.dataId),u=a.readSync(s.dataId),p=z6(l,u,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=a.bufferSync(r),u=a.bufferSync(s),p=iU(l,u,i,o);return a.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var Yj={kernelName:Nd,backendName:"webgl",kernelFunc:Zj},Jj=class{constructor(e,t,a){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=a,this.userCode=` + `}};function xx(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function Ax(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function s8(e,t,a,n,r,s){let i=t.shape.length,o=S.getAxesPermutation([n],i),l=t;o!=null&&(l=Ta({inputs:{x:t},backend:a,attrs:{perm:o}}));let u=S.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let p=l.shape[u],c=en({inputs:{x:l},backend:a});for(let d=0;d<=Math.ceil(Math.log2(p))-1;d++){let h=new yx(e,l.shape,!1,s),f=[[d]],m=c;c=a.runWebGLProgram(h,[c],c.dtype,f),a.disposeIntermediateTensorInfo(m)}if(r){let d=new yx(e,l.shape,r,s),h=c;c=a.runWebGLProgram(d,[c],c.dtype),a.disposeIntermediateTensorInfo(h)}if(o!=null){let d=S.getUndoAxesPermutation(o),h=Ta({inputs:{x:c},backend:a,attrs:{perm:d}});return a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(l),h}return c}function MX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return s8(qd.Prod,r,a,s,i,o)}var FX={kernelName:bi,backendName:"webgl",kernelFunc:MX};function _X(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return s8(qd.Sum,r,a,s,i,o)}var $X={kernelName:vi,backendName:"webgl",kernelFunc:_X};function DX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=n;if(r.shape.length===1){let l=a.readSync(r.dataId),u=a.readSync(s.dataId),p=zv(l,u,s.dtype,s.shape,i);return a.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=a.bufferSync(r),u=a.bufferSync(s),p=VG(l,u,i,o);return a.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var PX={kernelName:su,backendName:"webgl",kernelFunc:DX},OX=class{constructor(e,t,a){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=a,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2941,7 +3015,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam float result = ${this.getInputSamplingString()}; setOutput(result); } - `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function Qj(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=new Jj(f,s,i);return a.runWebGLProgram(m,[r],r.dtype)}var eq={kernelName:di,backendName:"webgl",kernelFunc:Qj},iv=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Ra(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";a&&(n?l=`float activation(float a) { + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function zX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=new OX(f,s,i);return a.runWebGLProgram(m,[r],r.dtype)}var LX={kernelName:ki,backendName:"webgl",kernelFunc:zX},i8=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ya(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";a&&(n?l=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${a} }`:r?l=`float activation(float a) { @@ -2994,7 +3068,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${u} setOutput(result); } - `}},ov=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Ra(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,c=p,d=` + `}},o8=class{constructor(e,t=!1,a=null,n=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ya(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,c=p,d=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let c=T.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),d;V().getBool("WEBGL_PACK_DEPTHWISECONV")&&c.strideWidth<=2&&c.outChannels/c.inChannels===1?d=new ov(c):d=new iv(c);let h=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];return a.runWebGLProgram(d,[r,s],"float32",h)}var aq={kernelName:pi,backendName:"webgl",kernelFunc:tq},nq=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,a=e.strideWidth,n=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` + `}};function WX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:u}=n,p=l;p==null&&(p=[1,1]),v.assert(S.eitherStridesOrDilationsAreOne(i,p),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let c=S.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),d;W().getBool("WEBGL_PACK_DEPTHWISECONV")&&c.strideWidth<=2&&c.outChannels/c.inChannels===1?d=new o8(c):d=new i8(c);let h=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];return a.runWebGLProgram(d,[r,s],"float32",h)}var BX={kernelName:Ii,backendName:"webgl",kernelFunc:WX},VX=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,a=e.strideWidth,n=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -3218,7 +3292,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},rq=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=a-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` + `}},UX=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,a=e.filterWidth,n=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=a-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=` const ivec2 pads = ivec2(${s}, ${i}); void main() { @@ -3263,13 +3337,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}};function sq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=n,c=T.computeConv2DInfo(r.shape,p,i,o,l,u,!0),d=new nq(c);return a.runWebGLProgram(d,[r,s],"float32")}var iq={kernelName:eh,backendName:"webgl",kernelFunc:sq};function oq(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=n,c=T.computeConv2DInfo(p,s.shape,i,o,l,u,!0),d=new rq(c);return a.runWebGLProgram(d,[r,s],"float32")}var lq={kernelName:th,backendName:"webgl",kernelFunc:oq},uq=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` + `}};function GX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=n,c=S.computeConv2DInfo(r.shape,p,i,o,l,u,!0),d=new VX(c);return a.runWebGLProgram(d,[r,s],"float32")}var HX={kernelName:rp,backendName:"webgl",kernelFunc:GX};function jX(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=n,c=S.computeConv2DInfo(p,s.shape,i,o,l,u,!0),d=new UX(c);return a.runWebGLProgram(d,[r,s],"float32")}var qX={kernelName:sp,backendName:"webgl",kernelFunc:jX},XX=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } - `}};function dq(e){let{inputs:t,backend:a}=e,{x:n}=t,r=[...n.shape,...n.shape],s=v.sizeFromShape(n.shape),i=pe({inputs:{x:n},backend:a,attrs:{shape:[s]}}),o=new uq(s),l=a.runWebGLProgram(o,[i],i.dtype),u=pe({inputs:{x:l},backend:a,attrs:{shape:r}});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(l),u}var pq={kernelName:Ed,backendName:"webgl",kernelFunc:dq},cq=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:a,padInfo:n,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:c}=n;this.userCode=` + `}};function KX(e){let{inputs:t,backend:a}=e,{x:n}=t,r=[...n.shape,...n.shape],s=v.sizeFromShape(n.shape),i=ue({inputs:{x:n},backend:a,attrs:{shape:[s]}}),o=new XX(s),l=a.runWebGLProgram(o,[i],i.dtype),u=ue({inputs:{x:l},backend:a,attrs:{shape:r}});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(l),u}var YX={kernelName:iu,backendName:"webgl",kernelFunc:KX},ZX=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:a,padInfo:n,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:c}=n;this.userCode=` const ivec2 strides = ivec2(${r}, ${s}); const ivec2 pads = ivec2(${p}, ${c}); const float neg_infinity = -3.4e38; @@ -3307,7 +3381,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam float result = curVal; setOutput(result); } - `}};function hq(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=T.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,c=new cq(u);p=a.runWebGLProgram(c,[r,s],"float32");let d=pe({inputs:{x:p},backend:a,attrs:{shape:u.outShape}});return a.disposeIntermediateTensorInfo(p),d}var fq={kernelName:Rd,backendName:"webgl",kernelFunc:hq};function mq(e){let{inputs:t,backend:a,attrs:n}=e,{equation:r}=n,s=t,{allDims:i,summedDims:o,idDims:l}=T.decodeEinsumEquation(r,s.length);T.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=T.getEinsumComputePath(o,l),c=p.length,d=null,h=i.length,f=[];for(let m=0;m=0&&(d=$h({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeIntermediateTensorInfo(m);return d}var gq={kernelName:Md,backendName:"webgl",kernelFunc:mq},yq="return (x >= 0.0) ? x : (exp(x) - 1.0);",xq=` + `}};function JX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=S.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,c=new ZX(u);p=a.runWebGLProgram(c,[r,s],"float32");let d=ue({inputs:{x:p},backend:a,attrs:{shape:u.outShape}});return a.disposeIntermediateTensorInfo(p),d}var QX={kernelName:Si,backendName:"webgl",kernelFunc:JX};function eK(e){let{inputs:t,backend:a,attrs:n}=e,{equation:r}=n,s=t,{allDims:i,summedDims:o,idDims:l}=S.decodeEinsumEquation(r,s.length);S.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=S.getEinsumComputePath(o,l),c=p.length,d=null,h=i.length,f=[];for(let m=0;m=0&&(d=e0({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeIntermediateTensorInfo(m);return d}var tK={kernelName:ip,backendName:"webgl",kernelFunc:eK},aK="return (x >= 0.0) ? x : (exp(x) - 1.0);",nK=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -3316,29 +3390,29 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,Aq=Qe({opSnippet:yq,packedOpSnippet:xq}),bq={kernelName:hi,backendName:"webgl",kernelFunc:Aq},vq="return (b >= 1.0) ? a : a * (b + 1.0);",kq=` +`,rK=et({opSnippet:aK,packedOpSnippet:nK}),sK={kernelName:Ti,backendName:"webgl",kernelFunc:rK},iK="return (b >= 0.0) ? a : a * (b + 1.0);",oK=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); -`,wq=e=>{let{inputs:t,backend:a}=e,{dy:n,y:r}=t,s=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new fp(kq,n.shape,r.shape):new yl(vq,n.shape,r.shape);return a.runWebGLProgram(s,[n,r],n.dtype)},Iq={kernelName:W2,backendName:"webgl",kernelFunc:wq},Sq=` +`,lK=e=>{let{inputs:t,backend:a}=e,{dy:n,y:r}=t,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Up(oK,n.shape,r.shape):new ql(iK,n.shape,r.shape);return a.runWebGLProgram(s,[n,r],n.dtype)},uK={kernelName:ou,backendName:"webgl",kernelFunc:lK},dK=` return vec4(equal(a, b)); -`,Tq="return float(a == b);",Cq=pa({opSnippet:Tq,packedOpSnippet:Sq,dtype:"bool",cpuKernelImpl:dU}),Nq={kernelName:fi,backendName:"webgl",kernelFunc:Cq},Eq=` +`,pK="return float(a == b);",cK=fa({opSnippet:pK,packedOpSnippet:dK,dtype:"bool",cpuKernelImpl:jG}),hK={kernelName:Ni,backendName:"webgl",kernelFunc:cK},fK=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - float p = ${T.ERF_P}; - float a1 = ${T.ERF_A1}; - float a2 = ${T.ERF_A2}; - float a3 = ${T.ERF_A3}; - float a4 = ${T.ERF_A4}; - float a5 = ${T.ERF_A5}; + float p = ${S.ERF_P}; + float a1 = ${S.ERF_A1}; + float a2 = ${S.ERF_A2}; + float a3 = ${S.ERF_A3}; + float a4 = ${S.ERF_A4}; + float a5 = ${S.ERF_A5}; float sign = sign(x); x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); -`,Rq=Qe({opSnippet:Eq}),Mq={kernelName:Ml,backendName:"webgl",kernelFunc:Rq},$q=mu+` +`,mK=et({opSnippet:fK}),gK={kernelName:lu,backendName:"webgl",kernelFunc:mK},yK=Vu+` return exp(x); -`,_q=` +`,xK=` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -3347,7 +3421,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam result.a = isNaN.a ? x.a : result.a; return result; -`,lv=Qe({opSnippet:$q,packedOpSnippet:_q,cpuKernelImpl:pU,dtype:"float32"}),Pq={kernelName:mi,backendName:"webgl",kernelFunc:lv};function I2(e){let{inputs:t,attrs:a,backend:n}=e,{dim:r}=a,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),pe({inputs:{x:s},backend:n,attrs:{shape:o}})}var Fq={kernelName:$l,backendName:"webgl",kernelFunc:I2},Ty="return exp(x) - 1.0;",Oq=Qe({opSnippet:Ty,packedOpSnippet:Ty,cpuKernelImpl:cU}),Dq={kernelName:_l,backendName:"webgl",kernelFunc:Oq},Cy=class{constructor(e,t,a){this.variableNames=["real","imag"];let n=t[1];this.outputShape=t;let r=a?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=a?`${n}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` +`,l8=et({opSnippet:yK,packedOpSnippet:xK,cpuKernelImpl:qG,dtype:"float32"}),AK={kernelName:Ri,backendName:"webgl",kernelFunc:l8};function T1(e){let{inputs:t,attrs:a,backend:n}=e,{dim:r}=a,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),ue({inputs:{x:s},backend:n,attrs:{shape:o}})}var bK={kernelName:uu,backendName:"webgl",kernelFunc:T1},bx="return exp(x) - 1.0;",vK=et({opSnippet:bx,packedOpSnippet:bx,cpuKernelImpl:XG}),wK={kernelName:Ei,backendName:"webgl",kernelFunc:vK},vx=class{constructor(e,t,a){this.variableNames=["real","imag"];let n=t[1];this.outputShape=t;let r=a?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=a?`${n}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` const float exponentMultiplier = ${r}; float unaryOpComplex(float real, float expR, float imag, float expI) { @@ -3380,12 +3454,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } - `}};function uv(e,t,a){let n=a.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=pe({inputs:{x:e},backend:a,attrs:{shape:[i,s]}}),l=o.shape,u=new Cy("real",l,t),p=new Cy("imag",l,t),c=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:l},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:l}],d=a.runWebGLProgram(u,c,"float32"),h=a.runWebGLProgram(p,c,"float32"),f=ls({inputs:{real:d,imag:h},backend:a});a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h);let m=pe({inputs:{x:f},backend:a,attrs:{shape:e.shape}});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(f),m}function zq(e){let{inputs:t,backend:a}=e,{input:n}=t;return uv(n,!1,a)}var Lq={kernelName:$d,backendName:"webgl",kernelFunc:zq},Bq=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` + `}};function u8(e,t,a){let n=a.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=ue({inputs:{x:e},backend:a,attrs:{shape:[i,s]}}),l=o.shape,u=new vx("real",l,t),p=new vx("imag",l,t),c=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:l},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:l}],d=a.runWebGLProgram(u,c,"float32"),h=a.runWebGLProgram(p,c,"float32"),f=ds({inputs:{real:d,imag:h},backend:a});a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h);let m=ue({inputs:{x:f},backend:a,attrs:{shape:e.shape}});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(f),m}function kK(e){let{inputs:t,backend:a}=e,{input:n}=t;return u8(n,!1,a)}var IK={kernelName:op,backendName:"webgl",kernelFunc:kK},SK=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } - `}};function gp(e){let{backend:t,attrs:a}=e,{shape:n,value:r}=a,{dtype:s}=a;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(n));return i.fill(r),t.makeTensorInfo(n,s,i)}else{let i=new Bq(n,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var Wq={kernelName:Pl,backendName:"webgl",kernelFunc:gp},Vq=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` + `}};function Hp(e){let{backend:t,attrs:a}=e,{shape:n,value:r}=a,{dtype:s}=a;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(n));return i.fill(r),t.makeTensorInfo(n,s,i)}else{let i=new SK(n,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var CK={kernelName:du,backendName:"webgl",kernelFunc:Hp},TK=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; @@ -3399,7 +3473,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(outputValue); } - `}},Uq={kernelName:gi,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:a}=e,n=t,r=new Vq(a.shape);return n.runWebGLProgram(r,[a],a.dtype)}},Ny="return floor(x);",Gq=Qe({opSnippet:Ny,packedOpSnippet:Ny,cpuKernelImpl:hU}),Hq={kernelName:yi,backendName:"webgl",kernelFunc:Gq},jq=` + `}},NK={kernelName:Mi,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:a}=e,n=t,r=new TK(a.shape);return n.runWebGLProgram(r,[a],a.dtype)}},wx="return floor(x);",RK=et({opSnippet:wx,packedOpSnippet:wx,cpuKernelImpl:KG}),EK={kernelName:Fi,backendName:"webgl",kernelFunc:RK},MK=` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -3409,7 +3483,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } else { return NAN; } -`,qq=` +`,FK=` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -3430,7 +3504,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); -`,Xq=pa({opSnippet:jq,packedOpSnippet:qq,dtype:"int32"}),Kq={kernelName:xi,backendName:"webgl",kernelFunc:Xq},Zq=class{constructor(e){this.variableNames=["A"];let t=Ea(),[a,n]=e;this.outputShape=e,this.userCode=` +`,_K=fa({opSnippet:MK,packedOpSnippet:FK,dtype:"int32"}),$K={kernelName:_i,backendName:"webgl",kernelFunc:_K},DK=class{constructor(e){this.variableNames=["A"];let t=Ea(),[a,n]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3452,7 +3526,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam setOutput(floor(value * 255.0 + 0.5)); } - `}},Yq=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Ea(),[a,n]=e;this.outputShape=e,this.userCode=` + `}},PK=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Ea(),[a,n]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3486,7 +3560,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${t.output} = result; } - `}},Jq={kernelName:nd,backendName:"webgl",kernelFunc:Qq},Ko,Om=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Qq(e){let{inputs:t,backend:a,attrs:n}=e,{pixels:r}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],c=[u,l,s];if(o||i){let m=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Ko==null||m!==Om)&&(Om=m,Ko=document.createElement("canvas").getContext("2d",{willReadFrequently:Om})),Ko.canvas.width=l,Ko.canvas.height=u,Ko.drawImage(r,0,0,l,u),r=Ko.canvas}let d=a.makeTensorInfo(p,"int32");a.texData.get(d.dataId).usage=hn.PIXELS,a.gpgpu.uploadPixelDataToTexture(a.getTexture(d.dataId),r);let h=V().getBool("WEBGL_PACK")?new Yq(c):new Zq(c),f=a.runWebGLProgram(h,[d],"int32");return a.disposeData(d.dataId),f}function eX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=T.convertConv2DDataFormat(p),g=T.computeConv2DInfo(r.shape,s.shape,l,c,u,d,!1,m),y,x=[],A=i!=null,b=o!=null,k=h==="leakyrelu",S=()=>{let N=[r,s],$=(M,R)=>{if(R==="NCHW"&&M.shape.length===1&&M.shape[0]!==1){let I=pe({inputs:{x:M},backend:a,attrs:{shape:[M.shape[0],1,1]}});return x.push(I),I}return M};if(A&&N.push($(i,p)),b&&N.push($(o,p)),k){let M=a.makeTensorInfo([],"float32",v.createScalarValue(f,"float32"));N.push(M),x.push(M)}return N};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))y=nv({x:r,filter:s,convInfo:g,backend:a,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:f});else if(g.strideWidth<=2&&m==="channelsLast"&&V().getBool("WEBGL_EXP_CONV")){let N=h?yd(h,!0):null,$=new av(g,A,N,b,k),M=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],R=S();y=a.runWebGLProgram($,R,"float32",M)}else if(V().getBool("WEBGL_CONV_IM2COL"))y=rv({x:r,filter:s,convInfo:g,backend:a,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:f});else{let N=h?yd(h,!1):null,$=new tv(g,A,N,b,k),M=S();y=a.runWebGLProgram($,M,"float32")}let C=pe({inputs:{x:y},backend:a,attrs:{shape:g.outShape}});return x.push(y),x.forEach(N=>a.disposeIntermediateTensorInfo(N)),C}var tX={kernelName:jr,backendName:"webgl",kernelFunc:eX};function aX(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:c,activation:d,leakyreluAlpha:h}=n,f=[],m=p;m==null&&(m=[1,1]),v.assert(T.eitherStridesOrDilationsAreOne(l,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`);let g=T.computeConv2DInfo(r.shape,s.shape,l,m,u,c,!0),y=V().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,x=d?yd(d,y):null,A=[r,s],b=i!=null,k=o!=null,S=d==="leakyrelu";if(b&&A.push(i),k&&A.push(o),S){let M=a.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));A.push(M),f.push(M)}let C;y?C=new ov(g,b,x,k,S):C=new iv(g,b,x,k,S);let N=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],$=a.runWebGLProgram(C,A,"float32",N);return f.forEach(M=>a.disposeIntermediateTensorInfo(M)),$}var nX={kernelName:qr,backendName:"webgl",kernelFunc:aX},rX=class{constructor(e,t,a,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=["x","indices"],this.outputShape=a;let r=gt(a.length),s=` + `}},OK={kernelName:Ed,backendName:"webgl",kernelFunc:zK},kl,B2=W().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function zK(e){let{inputs:t,backend:a,attrs:n}=e,{pixels:r}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],c=[u,l,s];if(o||i){let m=W().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(kl==null||m!==B2)&&(B2=m,kl=document.createElement("canvas").getContext("2d",{willReadFrequently:B2})),kl.canvas.width=l,kl.canvas.height=u,kl.drawImage(r,0,0,l,u),r=kl.canvas}let d=a.makeTensorInfo(p,"int32");a.texData.get(d.dataId).usage=fn.PIXELS,a.gpgpu.uploadPixelDataToTexture(a.getTexture(d.dataId),r);let h=W().getBool("WEBGL_PACK")?new PK(c):new DK(c),f=a.runWebGLProgram(h,[d],"int32");return a.disposeData(d.dataId),f}function LK(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=S.convertConv2DDataFormat(p),g=S.computeConv2DInfo(r.shape,s.shape,l,c,u,d,!1,m),y,x=[],A=i!=null,b=o!=null,w=h==="leakyrelu",C=()=>{let N=[r,s],M=(F,E)=>{if(E==="NCHW"&&F.shape.length===1&&F.shape[0]!==1){let I=ue({inputs:{x:F},backend:a,attrs:{shape:[F.shape[0],1,1]}});return x.push(I),I}return F};if(A&&N.push(M(i,p)),b&&N.push(M(o,p)),w){let F=a.makeTensorInfo([],"float32",v.createScalarValue(f,"float32"));N.push(F),x.push(F)}return N};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))y=n8({x:r,filter:s,convInfo:g,backend:a,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:f});else if(g.strideWidth<=2&&m==="channelsLast"&&W().getBool("WEBGL_EXP_CONV")){let N=h?Hd(h,!0):null,M=new a8(g,A,N,b,w),F=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],E=C();y=a.runWebGLProgram(M,E,"float32",F)}else if(W().getBool("WEBGL_CONV_IM2COL"))y=r8({x:r,filter:s,convInfo:g,backend:a,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:f});else{let N=h?Hd(h,!1):null,M=new t8(g,A,N,b,w),F=C();y=a.runWebGLProgram(M,F,"float32")}let T=ue({inputs:{x:y},backend:a,attrs:{shape:g.outShape}});return x.push(y),x.forEach(N=>a.disposeIntermediateTensorInfo(N)),T}var WK={kernelName:Kr,backendName:"webgl",kernelFunc:LK};function BK(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:c,activation:d,leakyreluAlpha:h}=n,f=[],m=p;m==null&&(m=[1,1]),v.assert(S.eitherStridesOrDilationsAreOne(l,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`);let g=S.computeConv2DInfo(r.shape,s.shape,l,m,u,c,!0),y=W().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,x=d?Hd(d,y):null,A=[r,s],b=i!=null,w=o!=null,C=d==="leakyrelu";if(b&&A.push(i),w&&A.push(o),C){let F=a.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));A.push(F),f.push(F)}let T;y?T=new o8(g,b,x,w,C):T=new i8(g,b,x,w,C);let N=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],M=a.runWebGLProgram(T,A,"float32",N);return f.forEach(F=>a.disposeIntermediateTensorInfo(F)),M}var VK={kernelName:Yr,backendName:"webgl",kernelFunc:BK},UK=class{constructor(e,t,a,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=["x","indices"],this.outputShape=a;let r=ft(a.length),s=` int index;`;for(let i=0;i= 0) && (index < ${e[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${n})); } - `}};function lX(e,t){let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let r=0;r=0,()=>`GatherV2: the index value ${k} is not in [0, ${A-1}]`)}}let u=T.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),c=[],d=pe({inputs:{x:r},backend:a,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=pe({inputs:{x:s},backend:a,attrs:{shape:[u.batchSize,p/u.batchSize]}});c.push(d),c.push(h);let f=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(a.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let x=a.bufferSync(h),A=a.bufferSync(d),b=mU(A,x,f);return c.forEach(k=>a.disposeIntermediateTensorInfo(k)),a.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new oX(d.shape,f),g=a.runWebGLProgram(m,[d,h],d.dtype);c.push(g);let y=pe({inputs:{x:g},backend:a,attrs:{shape:u.outputShape}});return c.forEach(x=>a.disposeIntermediateTensorInfo(x)),y}var uX={kernelName:Fl,backendName:"webgl",kernelFunc:dv},dX="return float(a > b);",pX=` + `}};function qK(e,t){let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let r=0;r=0,()=>`GatherV2: the index value ${w} is not in [0, ${A-1}]`)}}let u=S.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),c=[],d=ue({inputs:{x:r},backend:a,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=ue({inputs:{x:s},backend:a,attrs:{shape:[u.batchSize,p/u.batchSize]}});c.push(d),c.push(h);let f=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(a.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let x=a.bufferSync(h),A=a.bufferSync(d),b=ZG(A,x,f);return c.forEach(w=>a.disposeIntermediateTensorInfo(w)),a.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new jK(d.shape,f),g=a.runWebGLProgram(m,[d,h],d.dtype);c.push(g);let y=ue({inputs:{x:g},backend:a,attrs:{shape:u.outputShape}});return c.forEach(x=>a.disposeIntermediateTensorInfo(x)),y}var XK={kernelName:pu,backendName:"webgl",kernelFunc:d8},KK="return float(a > b);",YK=` return vec4(greaterThan(a, b)); -`,cX=pa({opSnippet:dX,packedOpSnippet:pX,cpuKernelImpl:gU,dtype:"bool"}),hX={kernelName:vi,backendName:"webgl",kernelFunc:cX},fX="return float(a >= b);",mX=` +`,ZK=fa({opSnippet:KK,packedOpSnippet:YK,cpuKernelImpl:JG,dtype:"bool"}),JK={kernelName:Pi,backendName:"webgl",kernelFunc:ZK},QK="return float(a >= b);",eY=` return vec4(greaterThanEqual(a, b)); -`,gX=pa({opSnippet:fX,packedOpSnippet:mX,dtype:"bool",cpuKernelImpl:yU}),yX={kernelName:ki,backendName:"webgl",kernelFunc:gX};function xX(e){let{inputs:t,backend:a}=e,{input:n}=t;return uv(n,!0,a)}var AX={kernelName:_d,backendName:"webgl",kernelFunc:xX},bX="return float(!isnan(x) && !isinf(x));",vX=Qe({opSnippet:bX,dtype:"bool"}),kX={kernelName:Ol,backendName:"webgl",kernelFunc:vX},wX="return float(isinf(x));",IX=Qe({opSnippet:wX,dtype:"bool"}),SX={kernelName:Dl,backendName:"webgl",kernelFunc:IX},TX="return float(isnan(x));",CX=Qe({opSnippet:TX,dtype:"bool"}),NX={kernelName:Ii,backendName:"webgl",kernelFunc:CX},EX="return float(a < b);",RX=` +`,tY=fa({opSnippet:QK,packedOpSnippet:eY,dtype:"bool",cpuKernelImpl:QG}),aY={kernelName:Oi,backendName:"webgl",kernelFunc:tY};function nY(e){let{inputs:t,backend:a}=e,{input:n}=t;return u8(n,!0,a)}var rY={kernelName:lp,backendName:"webgl",kernelFunc:nY},sY="return float(!isnan(x) && !isinf(x));",iY=et({opSnippet:sY,dtype:"bool"}),oY={kernelName:Li,backendName:"webgl",kernelFunc:iY},lY="return float(isinf(x));",uY=et({opSnippet:lY,dtype:"bool"}),dY={kernelName:Wi,backendName:"webgl",kernelFunc:uY},pY="return float(isnan(x));",cY=et({opSnippet:pY,dtype:"bool"}),hY={kernelName:Bi,backendName:"webgl",kernelFunc:cY},fY="return float(a < b);",mY=` return vec4(lessThan(a, b)); -`,MX=pa({opSnippet:EX,packedOpSnippet:RX,cpuKernelImpl:xU,dtype:"bool"}),$X={kernelName:Ti,backendName:"webgl",kernelFunc:MX},_X="return float(a <= b);",PX=` +`,gY=fa({opSnippet:fY,packedOpSnippet:mY,cpuKernelImpl:eH,dtype:"bool"}),yY={kernelName:Ui,backendName:"webgl",kernelFunc:gY},xY="return float(a <= b);",AY=` return vec4(lessThanEqual(a, b)); -`,FX=pa({opSnippet:_X,packedOpSnippet:PX,cpuKernelImpl:AU,dtype:"bool"}),OX={kernelName:Ci,backendName:"webgl",kernelFunc:FX};function DX(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=bU(n,r,s);return t.makeTensorInfo([i.length],"float32",i)}var zX={kernelName:Fd,backendName:"webgl",kernelFunc:DX},LX=mu+` +`,bY=fa({opSnippet:xY,packedOpSnippet:AY,cpuKernelImpl:tH,dtype:"bool"}),vY={kernelName:Gi,backendName:"webgl",kernelFunc:bY};function wY(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=aH(n,r,s);return t.makeTensorInfo([i.length],"float32",i)}var kY={kernelName:Hi,backendName:"webgl",kernelFunc:wY},IY=Vu+` return x < 0.0 ? 0./0. : log(x); -`,BX=` +`,SY=` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -3526,18 +3600,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; -`,WX=Qe({opSnippet:LX,packedOpSnippet:BX,cpuKernelImpl:vU}),VX={kernelName:Ni,backendName:"webgl",kernelFunc:WX},UX=mu+` +`,CY=et({opSnippet:IY,packedOpSnippet:SY,cpuKernelImpl:nH}),TY={kernelName:ji,backendName:"webgl",kernelFunc:CY},NY=Vu+` return log(1.0 + x); -`,GX=Qe({opSnippet:UX}),HX={kernelName:zl,backendName:"webgl",kernelFunc:GX},jX="return float(a >= 1.0 && b >= 1.0);",qX=` +`,RY=et({opSnippet:NY}),EY={kernelName:qi,backendName:"webgl",kernelFunc:RY},MY="return float(a >= 1.0 && b >= 1.0);",FY=` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); -`,XX=pa({opSnippet:jX,packedOpSnippet:qX,dtype:"bool"}),KX={kernelName:Ei,backendName:"webgl",kernelFunc:XX},ZX="return float(!(x >= 1.0));",YX=Qe({opSnippet:ZX}),JX={kernelName:Ri,backendName:"webgl",kernelFunc:YX},QX="return float(a >= 1.0 || b >= 1.0);",eK=` +`,_Y=fa({opSnippet:MY,packedOpSnippet:FY,dtype:"bool"}),$Y={kernelName:Xi,backendName:"webgl",kernelFunc:_Y},DY="return float(!(x >= 1.0));",PY=et({opSnippet:DY}),OY={kernelName:Ki,backendName:"webgl",kernelFunc:PY},zY="return float(a >= 1.0 || b >= 1.0);",LY=` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); -`,tK=pa({opSnippet:QX,packedOpSnippet:eK,dtype:"bool"}),aK={kernelName:Mi,backendName:"webgl",kernelFunc:tK},nK=class{constructor(e,t,a,n,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${a}) + float(${n}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` +`,WY=fa({opSnippet:zY,packedOpSnippet:LY,dtype:"bool"}),BY={kernelName:Yi,backendName:"webgl",kernelFunc:WY},VY=class{constructor(e,t,a,n,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${a}) + float(${n}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3556,7 +3630,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam float val = x * ${o}; setOutput(val); } - `}},rK=class{constructor(e,t,a,n,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${a}) + float(${n}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` + `}},UY=class{constructor(e,t,a,n,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${a}) + float(${n}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; @@ -3618,7 +3692,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam vec4 result = xAtOutputCoords * ${o}; setOutput(result); } - `}},sK=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n,u=V().getBool("WEBGL_PACK_NORMALIZATION")?new rK(r.shape,s,i,o,l):new nK(r.shape,s,i,o,l);return a.runWebGLProgram(u,[r],r.dtype)},iK={kernelName:Od,backendName:"webgl",kernelFunc:sK},oK=class{constructor(e,t,a,n,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=a,this.alpha=n,this.beta=r,this.userCode=` + `}},GY=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n,u=W().getBool("WEBGL_PACK_NORMALIZATION")?new UY(r.shape,s,i,o,l):new VY(r.shape,s,i,o,l);return a.runWebGLProgram(u,[r],r.dtype)},HY={kernelName:Zi,backendName:"webgl",kernelFunc:GY},jY=class{constructor(e,t,a,n,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=a,this.alpha=n,this.beta=r,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3673,16 +3747,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(result); } - `}},lK=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=n,c=new oK(r.shape,o,l,u,p);return a.runWebGLProgram(c,[r,s,i],r.dtype)},uK={kernelName:V2,backendName:"webgl",kernelFunc:lK};function dK(e,t,a,n){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=pe({inputs:{x:e},attrs:{shape:[s,r]},backend:n}),o=vo(i,e.dtype,"max",n),l=pe({inputs:{x:o},attrs:{shape:a},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}function pv(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),c=p!=null,d=a.shouldExecuteOnCPU([r]),h=r;if(c){if(d){let x=a.texData.get(h.dataId).values,A=new Array(o);for(let S=0;S{let{inputs:t,backend:a,attrs:n}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=n,c=new jY(r.shape,o,l,u,p);return a.runWebGLProgram(c,[r,s,i],r.dtype)},XY={kernelName:cu,backendName:"webgl",kernelFunc:qY};function KY(e,t,a,n){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=ue({inputs:{x:e},attrs:{shape:[s,r]},backend:n}),o=Ko(i,e.dtype,"max",n),l=ue({inputs:{x:o},attrs:{shape:a},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}function p8(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=n,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=S.getAxesPermutation(u,o),c=p!=null,d=a.shouldExecuteOnCPU([r]),h=r;if(c){if(d){let x=a.texData.get(h.dataId).values,A=new Array(o);for(let C=0;C`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=T.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return Qa({inputs:{x:r},backend:a});let c=new xd(p,"max",!1);return a.runWebGLProgram(c,[r],r.dtype)}var yK={kernelName:Pi,backendName:"webgl",kernelFunc:gK};function xK(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=n,p=[1,1,1],c=T.computePool3DInfo(r.shape,s,i,p,o,u,l),d=new _3(c,"max",!1);return a.runWebGLProgram(d,[r],r.dtype)}var AK={kernelName:ah,backendName:"webgl",kernelFunc:xK},bK=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,a=e.strideWidth,n=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` +`,QY=fa({opSnippet:ZY,packedOpSnippet:JY,cpuKernelImpl:sH}),eZ={kernelName:Qi,backendName:"webgl",kernelFunc:QY};function tZ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;Pu(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1;v.assert(S.eitherStridesOrDilationsAreOne(i,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=S.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return en({inputs:{x:r},backend:a});let c=new jd(p,"max",!1);return a.runWebGLProgram(c,[r],r.dtype)}var aZ={kernelName:eo,backendName:"webgl",kernelFunc:tZ};function nZ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=n,p=[1,1,1],c=S.computePool3DInfo(r.shape,s,i,p,o,u,l),d=new Sg(c,"max",!1);return a.runWebGLProgram(d,[r],r.dtype)}var rZ={kernelName:hu,backendName:"webgl",kernelFunc:nZ},sZ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,a=e.strideWidth,n=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=` const ivec2 pads = ivec2(${i}, ${o}); void main() { @@ -3728,7 +3802,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}},vK=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,a=e.strideHeight,n=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,c=l-1-e.padInfo.top,d=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` + `}},iZ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,a=e.strideHeight,n=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,c=l-1-e.padInfo.top,d=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=` const ivec3 pads = ivec3(${p}, ${c}, ${d}); void main() { @@ -3792,16 +3866,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam } setOutput(dotProd); } - `}};function kK(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=n,c=[1,1,1],d=T.computePool3DInfo(i.shape,o,l,c,u,p),h=new _3(d,"max",!0),f=a.runWebGLProgram(h,[i],i.dtype),m=new vK(d),g=a.runWebGLProgram(m,[r,f],i.dtype);return a.disposeIntermediateTensorInfo(f),g}var wK={kernelName:G2,backendName:"webgl",kernelFunc:kK};function IK(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s,output:i}=t,o=s;uu([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:c}=n,d=T.computePool2DInfo(o.shape,l,u,1,p,c),h=!0,f=new xd(d,"max",h),m=a.runWebGLProgram(f,[o],o.dtype),g=new bK(d),y=a.runWebGLProgram(g,[r,m],o.dtype);return a.disposeIntermediateTensorInfo(m),y}var SK={kernelName:U2,backendName:"webgl",kernelFunc:IK};function TK(e,t,a,n){let r=new xd(a,"max",!1),s=n.runWebGLProgram(r,[e],"float32");r=new xd(a,"max",!0,!0,t);let i=n.runWebGLProgram(r,[e],"float32");return[s,i]}var CK={kernelName:nh,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=a;v.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let u=[1,1];v.assert(T.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=T.computePool2DInfo(n.shape,r,s,u,i),[c,d]=TK(n,o,p,l);return[c,d]}};function NK(e,t,a,n){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=pe({inputs:{x:e},attrs:{shape:[s,r]},backend:n}),o=vo(i,"float32","mean",n),l=pe({inputs:{x:o},attrs:{shape:a},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}var EK={kernelName:Fi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{keepDims:r,axis:s}=t,i=a,o=n.shape.length,l=v.parseAxisParam(s,n.shape),u=l,p=T.getAxesPermutation(u,o),c=p!=null,d=i.shouldExecuteOnCPU([n]),h=[],f=n;if(c){if(d){let A=i.texData.get(f.dataId).values,b=new Array(o);for(let C=0;C{let{x:n}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=a;v.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let u=[1,1];v.assert(S.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=S.computePool2DInfo(n.shape,r,s,u,i),[c,d]=pZ(n,o,p,l);return[c,d]}};function hZ(e,t,a,n){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=ue({inputs:{x:e},attrs:{shape:[s,r]},backend:n}),o=Ko(i,"float32","mean",n),l=ue({inputs:{x:o},attrs:{shape:a},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}var fZ={kernelName:to,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{keepDims:r,axis:s}=t,i=a,o=n.shape.length,l=v.parseAxisParam(s,n.shape),u=l,p=S.getAxesPermutation(u,o),c=p!=null,d=i.shouldExecuteOnCPU([n]),h=[],f=n;if(c){if(d){let A=i.texData.get(f.dataId).values,b=new Array(o);for(let T=0;Tu[0]+e[p]+u[1]);let n=e.length,r=gt(n),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n),l=a==="reflect"?0:1;if(n===1){this.userCode=` +`,AZ=fa({opSnippet:yZ,packedOpSnippet:xZ,cpuKernelImpl:iH}),bZ={kernelName:no,backendName:"webgl",kernelFunc:AZ},vZ=class{constructor(e,t,a){this.variableNames=["x"],this.outputShape=t.map((u,p)=>u[0]+e[p]+u[1]);let n=e.length,r=ft(n),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n),l=a==="reflect"?0:1;if(n===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3830,7 +3904,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${r} coords = outC - start; setOutput(getX(${o})); } - `}},DK=class{constructor(e,t,a){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,f)=>h[0]+e[f]+h[1]);let n=e.length,r=gt(n),s=t.map(h=>h[0]).join(","),i=t.map((h,f)=>h[0]+e[f]).join(","),o=wa("rc",n),l=wa("source",n),u=`${o[n-1]} < ${this.outputShape[n-1]}`,p=n===1?"source":`vec2(${l.slice(-2).join()})`,c=a==="reflect"?0:1,d="";if(n===1){let h=` + `}},wZ=class{constructor(e,t,a){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,f)=>h[0]+e[f]+h[1]);let n=e.length,r=ft(n),s=t.map(h=>h[0]).join(","),i=t.map((h,f)=>h[0]+e[f]).join(","),o=Ia("rc",n),l=Ia("source",n),u=`${o[n-1]} < ${this.outputShape[n-1]}`,p=n===1?"source":`vec2(${l.slice(-2).join()})`,c=a==="reflect"?0:1,d="";if(n===1){let h=` ${r} source = rc; if (source < start) { source = start * 2 - source - ${c}; @@ -3886,13 +3960,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam ${d} setOutput(result); } - `}},zK=({inputs:e,backend:t,attrs:a})=>{let{x:n}=e,{paddings:r,mode:s}=a,i=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new DK(n.shape,r,s):new OK(n.shape,r,s);return t.runWebGLProgram(i,[n],n.dtype)},LK={kernelName:zi,backendName:"webgl",kernelFunc:zK},BK=`if (b == 0.0) return NAN; - return mod(a, b);`,WK=` + `}},kZ=({inputs:e,backend:t,attrs:a})=>{let{x:n}=e,{paddings:r,mode:s}=a,i=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new wZ(n.shape,r,s):new vZ(n.shape,r,s);return t.runWebGLProgram(i,[n],n.dtype)},IZ={kernelName:ro,backendName:"webgl",kernelFunc:kZ},SZ=`if (b == 0.0) return NAN; + return mod(a, b);`,CZ=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - `+hp+` + `+Xo+` return result; -`,VK=pa({opSnippet:BK,packedOpSnippet:WK}),UK={kernelName:Ll,backendName:"webgl",kernelFunc:VK},GK=class{constructor(e,t,a){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,a],this.userCode=` +`,TZ=fa({opSnippet:SZ,packedOpSnippet:CZ}),NZ={kernelName:fu,backendName:"webgl",kernelFunc:TZ},RZ=class{constructor(e,t,a){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,a],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -3912,11 +3986,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IH=Qe({opSnippet:wH}),SH={kernelNam // If no other event happened, last event happened. setOutput(float(${t-1})); } - `}},HK=` + `}},EZ=` if (a == b) { return 1.0; }; -return a / b;`,jK=` +return a / b;`,MZ=` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -3934,9 +4008,9 @@ return a / b;`,jK=` } return result; -`,cv=pa({opSnippet:HK,packedOpSnippet:jK,checkOutOfBounds:!0}),qK={kernelName:ci,backendName:"webgl",kernelFunc:cv},Ey="return a - b;",hv=pa({opSnippet:Ey,packedOpSnippet:Ey,supportsComplex:!0,cpuKernelImpl:GU}),XK={kernelName:po,backendName:"webgl",kernelFunc:hv};function fv(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{dim:s}=n,i=v.parseAxisParam([s],r.shape),o=pv({inputs:{x:r},backend:a,attrs:{reductionIndices:i,keepDims:!1}}),l=T.expandShapeToKeepDim(o.shape,i),u=pe({inputs:{x:o},backend:a,attrs:{shape:l}}),p=hv({inputs:{a:r,b:u},backend:a}),c=lv({inputs:{x:p},backend:a}),d=$h({inputs:{x:c},backend:a,attrs:{axis:i,keepDims:!1}}),h=pe({inputs:{x:d},backend:a,attrs:{shape:l}}),f=cv({inputs:{a:c,b:h},backend:a});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(u),a.disposeIntermediateTensorInfo(p),a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),f}var KK={kernelName:oo,backendName:"webgl",kernelFunc:fv};function ZK(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n,l=o?r:fv({inputs:{logits:r},backend:a,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],c=new GK(u,p,s),d=[[i]],h=a.runWebGLProgram(c,[l],"int32",d);return o||a.disposeIntermediateTensorInfo(l),h}var YK={kernelName:rh,backendName:"webgl",kernelFunc:ZK},JK=En+` +`,c8=fa({opSnippet:EZ,packedOpSnippet:MZ,checkOutOfBounds:!0}),FZ={kernelName:Ci,backendName:"webgl",kernelFunc:c8},kx="return a - b;",h8=fa({opSnippet:kx,packedOpSnippet:kx,supportsComplex:!0,cpuKernelImpl:TH}),_Z={kernelName:zo,backendName:"webgl",kernelFunc:h8};function f8(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{dim:s}=n,i=v.parseAxisParam([s],r.shape),o=p8({inputs:{x:r},backend:a,attrs:{reductionIndices:i,keepDims:!1}}),l=S.expandShapeToKeepDim(o.shape,i),u=ue({inputs:{x:o},backend:a,attrs:{shape:l}}),p=h8({inputs:{a:r,b:u},backend:a}),c=l8({inputs:{x:p},backend:a}),d=e0({inputs:{x:c},backend:a,attrs:{axis:i,keepDims:!1}}),h=ue({inputs:{x:d},backend:a,attrs:{shape:l}}),f=c8({inputs:{a:c,b:h},backend:a});return a.disposeIntermediateTensorInfo(o),a.disposeIntermediateTensorInfo(u),a.disposeIntermediateTensorInfo(p),a.disposeIntermediateTensorInfo(c),a.disposeIntermediateTensorInfo(d),a.disposeIntermediateTensorInfo(h),f}var $Z={kernelName:$o,backendName:"webgl",kernelFunc:f8};function DZ(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n,l=o?r:f8({inputs:{logits:r},backend:a,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],c=new RZ(u,p,s),d=[[i]],h=a.runWebGLProgram(c,[l],"int32",d);return o||a.disposeIntermediateTensorInfo(l),h}var PZ={kernelName:so,backendName:"webgl",kernelFunc:DZ},OZ=Rn+` return -x; -`,QK=` +`,zZ=` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -3946,14 +4020,14 @@ return a / b;`,jK=` result.a = isNaN.a ? x.a : result.a; return result; -`;function eZ(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])){let s=a.texData.get(n.dataId),[i,o]=TU(s.values,n.shape,n.dtype);return a.makeTensorInfo(o,n.dtype,i)}let r;return V().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Wr(n.shape,QK):r=new qn(n.shape,JK),a.runWebGLProgram(r,[n],n.dtype)}var tZ={kernelName:Bl,backendName:"webgl",kernelFunc:eZ},aZ=Nn.nonMaxSuppressionV3Impl;function nZ(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),{selectedIndices:c}=aZ(u,p,i,o,l);return a.makeTensorInfo([c.length],"int32",new Int32Array(c))}var rZ={kernelName:Wi,backendName:"webgl",kernelFunc:nZ},sZ=Nn.nonMaxSuppressionV4Impl;function iZ(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),{selectedIndices:d,validOutputs:h}=sZ(p,c,i,o,l,u);return[a.makeTensorInfo([d.length],"int32",new Int32Array(d)),a.makeTensorInfo([],"int32",new Int32Array([h]))]}var oZ={kernelName:Wl,backendName:"webgl",kernelFunc:iZ},lZ=Nn.nonMaxSuppressionV5Impl;function uZ(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),d=i,h=o,f=l,m=u,{selectedIndices:g,selectedScores:y}=lZ(p,c,d,h,f,m);return[a.makeTensorInfo([g.length],"int32",new Int32Array(g)),a.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var dZ={kernelName:Vi,backendName:"webgl",kernelFunc:uZ},pZ=class{constructor(e,t,a,n){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` +`;function LZ(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])){let s=a.texData.get(n.dataId),[i,o]=lH(s.values,n.shape,n.dtype);return a.makeTensorInfo(o,n.dtype,i)}let r;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Gr(n.shape,zZ):r=new Yn(n.shape,OZ),a.runWebGLProgram(r,[n],n.dtype)}var WZ={kernelName:mu,backendName:"webgl",kernelFunc:LZ},BZ=Nn.nonMaxSuppressionV3Impl;function VZ(e){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),{selectedIndices:c}=BZ(u,p,i,o,l);return a.makeTensorInfo([c.length],"int32",new Int32Array(c))}var UZ={kernelName:lo,backendName:"webgl",kernelFunc:VZ},GZ=Nn.nonMaxSuppressionV4Impl;function HZ(e){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),{selectedIndices:d,validOutputs:h}=GZ(p,c,i,o,l,u);return[a.makeTensorInfo([d.length],"int32",new Int32Array(d)),a.makeTensorInfo([],"int32",new Int32Array([h]))]}var jZ={kernelName:gu,backendName:"webgl",kernelFunc:HZ},qZ=Nn.nonMaxSuppressionV5Impl;function XZ(e){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),d=i,h=o,f=l,m=u,{selectedIndices:g,selectedScores:y}=qZ(p,c,d,h,f,m);return[a.makeTensorInfo([g.length],"int32",new Int32Array(g)),a.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var KZ={kernelName:uo,backendName:"webgl",kernelFunc:XZ},YZ=class{constructor(e,t,a,n){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${n}), float(${a}), float(index == coords.y))); } - `}},cZ=e=>{let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=v.sizeFromShape(r.shape),p=new pZ(u,i,o,l),c=pe({inputs:{x:r},backend:a,attrs:{shape:[u]}}),d=a.runWebGLProgram(p,[c],s);a.disposeIntermediateTensorInfo(c);let h=[...r.shape,i],f=pe({inputs:{x:d},backend:a,attrs:{shape:h}});return a.disposeIntermediateTensorInfo(d),f},hZ={kernelName:Ui,backendName:"webgl",kernelFunc:cZ};function Wc(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="complex64"){let r=mp({inputs:{input:n},backend:a}),s=Wc({inputs:{x:r},backend:a}),i=_h({inputs:{input:n},backend:a}),o=Wc({inputs:{x:i},backend:a}),l=ls({inputs:{real:s,imag:o},backend:a});return a.disposeIntermediateTensorInfo(r),a.disposeIntermediateTensorInfo(s),a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}else return gp({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:a})}var fZ={kernelName:nu,backendName:"webgl",kernelFunc:Wc};function mv(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let r=mp({inputs:{input:n},backend:a}),s=mv({inputs:{x:r},backend:a}),i=_h({inputs:{input:n},backend:a}),o=Wc({inputs:{x:i},backend:a}),l=ls({inputs:{real:s,imag:o},backend:a});return a.disposeIntermediateTensorInfo(r),a.disposeIntermediateTensorInfo(s),a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}else return gp({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:a})}var mZ={kernelName:Vl,backendName:"webgl",kernelFunc:mv};function gZ(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return I2({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=I2({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=ev({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeIntermediateTensorInfo(p)),u}var yZ={kernelName:Ul,backendName:"webgl",kernelFunc:gZ},xZ=class{constructor(e,t,a){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let n=e.length,r=gt(n),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n);if(n===1){this.userCode=` + `}},ZZ=e=>{let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=v.sizeFromShape(r.shape),p=new YZ(u,i,o,l),c=ue({inputs:{x:r},backend:a,attrs:{shape:[u]}}),d=a.runWebGLProgram(p,[c],s);a.disposeIntermediateTensorInfo(c);let h=[...r.shape,i],f=ue({inputs:{x:d},backend:a,attrs:{shape:h}});return a.disposeIntermediateTensorInfo(d),f},JZ={kernelName:po,backendName:"webgl",kernelFunc:ZZ};function gh(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="complex64"){let r=Gp({inputs:{input:n},backend:a}),s=gh({inputs:{x:r},backend:a}),i=t0({inputs:{input:n},backend:a}),o=gh({inputs:{x:i},backend:a}),l=ds({inputs:{real:s,imag:o},backend:a});return a.disposeIntermediateTensorInfo(r),a.disposeIntermediateTensorInfo(s),a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}else return Hp({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:a})}var QZ={kernelName:Mu,backendName:"webgl",kernelFunc:gh};function m8(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let r=Gp({inputs:{input:n},backend:a}),s=m8({inputs:{x:r},backend:a}),i=t0({inputs:{input:n},backend:a}),o=gh({inputs:{x:i},backend:a}),l=ds({inputs:{real:s,imag:o},backend:a});return a.disposeIntermediateTensorInfo(r),a.disposeIntermediateTensorInfo(s),a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}else return Hp({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:a})}var eJ={kernelName:yu,backendName:"webgl",kernelFunc:m8};function tJ(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return T1({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=T1({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=e8({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeIntermediateTensorInfo(p)),u}var aJ={kernelName:xu,backendName:"webgl",kernelFunc:tJ},nJ=class{constructor(e,t,a){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let n=e.length,r=ft(n),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n);if(n===1){this.userCode=` int start = ${s}; int end = ${i}; @@ -3978,7 +4052,7 @@ return a / b;`,jK=` setOutput(getX(${o})); } } - `}},AZ=class{constructor(e,t,a){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let n=e.length,r=gt(n),s=t.map(f=>f[0]).join(","),i=t.map((f,m)=>f[0]+e[m]).join(","),o=wa("rc",n),l=wa("source",n),u=`${o[n-1]} < ${this.outputShape[n-1]}`,p=n===1?"source":`vec2(${l.slice(-2).join()})`,c=[`${r} rc = outputLoc;`,`${o[n-1]} += 1; + `}},rJ=class{constructor(e,t,a){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let n=e.length,r=ft(n),s=t.map(f=>f[0]).join(","),i=t.map((f,m)=>f[0]+e[m]).join(","),o=Ia("rc",n),l=Ia("source",n),u=`${o[n-1]} < ${this.outputShape[n-1]}`,p=n===1?"source":`vec2(${l.slice(-2).join()})`,c=[`${r} rc = outputLoc;`,`${o[n-1]} += 1; if(${u}) { `,n===1?"":`} rc = outputLoc; @@ -4002,7 +4076,7 @@ return a / b;`,jK=` ${h} setOutput(result); } - `}},gv=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,c)=>p[0]+r.shape[c]+p[1]);return gp({backend:a,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new AZ(r.shape,s,i):new xZ(r.shape,s,i),l=[[i]];return a.runWebGLProgram(o,[r],r.dtype,l)},bZ={kernelName:Gi,backendName:"webgl",kernelFunc:gv},vZ=` + `}},g8=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,c)=>p[0]+r.shape[c]+p[1]);return Hp({backend:a,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new rJ(r.shape,s,i):new nJ(r.shape,s,i),l=[[i]];return a.runWebGLProgram(o,[r],r.dtype,l)},sJ={kernelName:co,backendName:"webgl",kernelFunc:g8},iJ=` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -4011,7 +4085,7 @@ return a / b;`,jK=` } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); -`,kZ=` +`,oJ=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -4027,11 +4101,11 @@ return a / b;`,jK=` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - `+hp+` + `+Xo+` return result; -`,wZ=pa({opSnippet:vZ,packedOpSnippet:kZ}),IZ={kernelName:Hi,backendName:"webgl",kernelFunc:wZ};function SZ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,c=T.getAxesPermutation(p,o),d=r;c!=null&&(d=Ta({inputs:{x:r},backend:a,attrs:{perm:c}}),p=T.getInnerMostAxes(p.length,o),l.push(d)),T.assertAxesAreInnerMostDims("prod",p,o);let h;if(a.shouldExecuteOnCPU([d])){let f=a.texData.get(d.dataId).values,{outVals:m,outShape:g,outDtype:y}=NU(d.shape,d.dtype,f,p);h=a.makeTensorInfo(g,y,m)}else{let[f,m]=T.computeOutAndReduceShapes(d.shape,p),g=v.sizeFromShape(m),y=pe({inputs:{x:d},backend:a,attrs:{shape:[-1,g]}}),x=Xd(r.dtype),A=vo(y,x,"prod",a);h=pe({inputs:{x:A},backend:a,attrs:{shape:f}}),l.push(y),l.push(A)}if(i){l.push(h);let f=T.expandShapeToKeepDim(h.shape,u);h=pe({inputs:{x:h},backend:a,attrs:{shape:f}})}return l.forEach(f=>a.disposeIntermediateTensorInfo(f)),h}var TZ={kernelName:qi,backendName:"webgl",kernelFunc:SZ};function CZ(e){let{inputs:t,backend:a,attrs:n}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=n,l=r.map(y=>a.readSync(y.dataId)),u=r.map(y=>y.shape),p=a.readSync(s.dataId),c=a.readSync(i.dataId),[d,h,f]=EU(l,u,p,s.shape,s.dtype,c,i.shape,o),m=d.map(y=>a.makeTensorInfo([y.length],"int32",y)),g=a.makeTensorInfo(f,s.dtype,h);return m.concat([g])}var NZ={kernelName:sh,backendName:"webgl",kernelFunc:CZ};function EZ(e){let{inputs:t,backend:a}=e,{starts:n,limits:r,deltas:s}=t,i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=RU(i,n.shape,n.dtype,o,r.shape,l,s.shape),c=a.makeTensorInfo([u.length],"int32",u),d=a.makeTensorInfo([p.length],n.dtype,p);return[c,d]}var RZ={kernelName:ih,backendName:"webgl",kernelFunc:EZ};function MZ(e){let{inputs:t,backend:a,attrs:n}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),c=a.readSync(i.dataId),d=o.map(g=>a.readSync(g.dataId)),h=o.map(g=>g.shape),[f,m]=MU(u,r.shape,p,s.shape,s.dtype,c,i.shape,d,h,l);return a.makeTensorInfo(f,s.dtype,m)}var $Z={kernelName:oh,backendName:"webgl",kernelFunc:MZ},yv=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=$U(n,r,s,i);return t.makeTensorInfo([o.length],i,o)},_Z={kernelName:Gl,backendName:"webgl",kernelFunc:yv},PZ="return 1.0 / x;",FZ=Qe({opSnippet:PZ}),OZ={kernelName:Xi,backendName:"webgl",kernelFunc:FZ},DZ=En+` +`,lJ=fa({opSnippet:iJ,packedOpSnippet:oJ}),uJ={kernelName:ho,backendName:"webgl",kernelFunc:lJ};function dJ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,c=S.getAxesPermutation(p,o),d=r;c!=null&&(d=Ta({inputs:{x:r},backend:a,attrs:{perm:c}}),p=S.getInnerMostAxes(p.length,o),l.push(d)),S.assertAxesAreInnerMostDims("prod",p,o);let h;if(a.shouldExecuteOnCPU([d])){let f=a.texData.get(d.dataId).values,{outVals:m,outShape:g,outDtype:y}=dH(d.shape,d.dtype,f,p);h=a.makeTensorInfo(g,y,m)}else{let[f,m]=S.computeOutAndReduceShapes(d.shape,p),g=v.sizeFromShape(m),y=ue({inputs:{x:d},backend:a,attrs:{shape:[-1,g]}}),x=Ip(r.dtype),A=Ko(y,x,"prod",a);h=ue({inputs:{x:A},backend:a,attrs:{shape:f}}),l.push(y),l.push(A)}if(i){l.push(h);let f=S.expandShapeToKeepDim(h.shape,u);h=ue({inputs:{x:h},backend:a,attrs:{shape:f}})}return l.forEach(f=>a.disposeIntermediateTensorInfo(f)),h}var pJ={kernelName:mo,backendName:"webgl",kernelFunc:dJ};function cJ(e){let{inputs:t,backend:a,attrs:n}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=n,l=r.map(y=>a.readSync(y.dataId)),u=r.map(y=>y.shape),p=a.readSync(s.dataId),c=a.readSync(i.dataId),[d,h,f]=pH(l,u,p,s.shape,s.dtype,c,i.shape,o),m=d.map(y=>a.makeTensorInfo([y.length],"int32",y)),g=a.makeTensorInfo(f,s.dtype,h);return m.concat([g])}var hJ={kernelName:Ch,backendName:"webgl",kernelFunc:cJ};function fJ(e){let{inputs:t,backend:a}=e,{starts:n,limits:r,deltas:s}=t,i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=cH(i,n.shape,n.dtype,o,r.shape,l,s.shape),c=a.makeTensorInfo([u.length],"int32",u),d=a.makeTensorInfo([p.length],n.dtype,p);return[c,d]}var mJ={kernelName:Th,backendName:"webgl",kernelFunc:fJ};function gJ(e){let{inputs:t,backend:a,attrs:n}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),c=a.readSync(i.dataId),d=o.map(g=>a.readSync(g.dataId)),h=o.map(g=>g.shape),[f,m]=hH(u,r.shape,p,s.shape,s.dtype,c,i.shape,d,h,l);return a.makeTensorInfo(f,s.dtype,m)}var yJ={kernelName:Nh,backendName:"webgl",kernelFunc:gJ},y8=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=fH(n,r,s,i);return t.makeTensorInfo([o.length],i,o)},xJ={kernelName:Au,backendName:"webgl",kernelFunc:y8},AJ="return 1.0 / x;",bJ=et({opSnippet:AJ}),vJ={kernelName:go,backendName:"webgl",kernelFunc:bJ},wJ=Rn+` return (x < 0.0) ? 0.0 : x; -`,zZ=` +`,kJ=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4041,9 +4115,9 @@ return a / b;`,jK=` result.a = isNaN.a ? x.a : result.a; return result; -`,LZ=Qe({opSnippet:DZ,packedOpSnippet:zZ}),BZ={kernelName:Ki,backendName:"webgl",kernelFunc:LZ},WZ=En+` +`,IJ=et({opSnippet:wJ,packedOpSnippet:kJ}),SJ={kernelName:yo,backendName:"webgl",kernelFunc:IJ},CJ=Rn+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,VZ=` +`,TJ=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4053,7 +4127,7 @@ return a / b;`,jK=` result.a = isNaN.a ? x.a : result.a; return result; -`,UZ=Qe({opSnippet:WZ,packedOpSnippet:VZ}),GZ={kernelName:Ji,backendName:"webgl",kernelFunc:UZ},HZ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c;r?c="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` +`,NJ=et({opSnippet:CJ,packedOpSnippet:TJ}),RJ={kernelName:bo,backendName:"webgl",kernelFunc:NJ},EJ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c;r?c="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4086,7 +4160,7 @@ return a / b;`,jK=` setOutput(newValue); } - `}},jZ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c;r?c="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},MJ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c;r?c="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4163,7 +4237,7 @@ return a / b;`,jK=` setOutput(newValue); } - `}};function qZ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=V().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new jZ(r.shape,l,u,s,i):new HZ(r.shape,l,u,s,i);return a.runWebGLProgram(p,[r],"float32")}var XZ={kernelName:Yi,backendName:"webgl",kernelFunc:qZ},KZ=class{constructor(e,t,a){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,r]=t,[,s,i]=e,o=[a&&s>1?n-1:n,a&&i>1?r-1:r],l=[a&&s>1?s-1:s,a&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],c=1/u,d=1/p,h=Math.ceil(c)*2+2,f=Math.ceil(d)*2+2;this.userCode=` + `}};function FJ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=W().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new MJ(r.shape,l,u,s,i):new EJ(r.shape,l,u,s,i);return a.runWebGLProgram(p,[r],"float32")}var _J={kernelName:Ao,backendName:"webgl",kernelFunc:FJ},$J=class{constructor(e,t,a){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,r]=t,[,s,i]=e,o=[a&&s>1?n-1:n,a&&i>1?r-1:r],l=[a&&s>1?s-1:s,a&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],c=1/u,d=1/p,h=Math.ceil(c)*2+2,f=Math.ceil(d)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4244,7 +4318,7 @@ return a / b;`,jK=` setOutput(accumulator); } - `}};function ZZ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=new KZ(s.shape,r.shape,i);return a.runWebGLProgram(o,[s],s.dtype)}var YZ={kernelName:j2,backendName:"webgl",kernelFunc:ZZ},JZ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c=n?"0.5":"0.0",d;r?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};function DJ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=new $J(s.shape,r.shape,i);return a.runWebGLProgram(o,[s],s.dtype)}var PJ={kernelName:wu,backendName:"webgl",kernelFunc:DJ},OJ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c=n?"0.5":"0.0",d;r?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/p[0]}, ${u[1]/p[1]}); @@ -4266,7 +4340,7 @@ return a / b;`,jK=` setOutput(newValue); } - `}},QZ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c=n?"0.5":"0.0",d;r?d="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}},zJ=class{constructor(e,t,a,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,a,l];let u=[n&&t>1?i-1:i,n&&a>1?o-1:o],p=[n&&t>1?t-1:t,n&&a>1?a-1:a],c=n?"0.5":"0.0",d;r?d="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/p[0]}, ${u[1]/p[1]}, @@ -4307,7 +4381,7 @@ return a / b;`,jK=` setOutput(newValue); } - `}};function eY(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=V().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new QZ(r.shape,l,u,s,i):new JZ(r.shape,l,u,s,i);return a.runWebGLProgram(p,[r],r.dtype)}var tY={kernelName:Zi,backendName:"webgl",kernelFunc:eY},aY=class{constructor(e,t,a){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,r]=t,[,s,i]=e,o=[a&&s>1?n-1:n,a&&i>1?r-1:r],l=[a&&s>1?s-1:s,a&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],c=1/u,d=1/p,h=Math.ceil(c)*2+2,f=Math.ceil(d)*2+2;this.userCode=` + `}};function LJ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=W().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new zJ(r.shape,l,u,s,i):new OJ(r.shape,l,u,s,i);return a.runWebGLProgram(p,[r],r.dtype)}var WJ={kernelName:xo,backendName:"webgl",kernelFunc:LJ},BJ=class{constructor(e,t,a){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,r]=t,[,s,i]=e,o=[a&&s>1?n-1:n,a&&i>1?r-1:r],l=[a&&s>1?s-1:s,a&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],c=1/u,d=1/p,h=Math.ceil(c)*2+2,f=Math.ceil(d)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4377,17 +4451,17 @@ return a / b;`,jK=` setOutput(accumulator); } - `}};function nY(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=new aY(s.shape,r.shape,i);return a.runWebGLProgram(o,[s],s.dtype)}var rY={kernelName:H2,backendName:"webgl",kernelFunc:nY},sY=class{constructor(e,t){this.variableNames=["x"];let a=e.length;if(a>4)throw new Error(`WebGL backend: Reverse of rank-${a} tensor is not yet supported`);if(this.outputShape=e,a===1){this.userCode=` + `}};function VJ(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=new BJ(s.shape,r.shape,i);return a.runWebGLProgram(o,[s],s.dtype)}var UJ={kernelName:vu,backendName:"webgl",kernelFunc:VJ},GJ=class{constructor(e,t){this.variableNames=["x"];let a=e.length;if(a>4)throw new Error(`WebGL backend: Reverse of rank-${a} tensor is not yet supported`);if(this.outputShape=e,a===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${e[0]} - coord - 1)); } - `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,r=e.map((i,o)=>n(o)).join(","),s=gt(a);this.userCode=` + `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,r=e.map((i,o)=>n(o)).join(","),s=ft(a);this.userCode=` void main() { ${s} coords = getOutputCoords(); setOutput(getX(${r})); } - `}},iY=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let a=e.length;if(a>4)throw new Error(`WebGL backend: Reverse of rank-${a} tensor is not yet supported`);this.outputShape=e;let n=wa("rc",a),r=`${n[a-1]} + 1 < ${this.outputShape[a-1]}`,s=`${n[a-2]} + 1 < ${this.outputShape[a-2]}`,i=gt(a);a===1?this.userCode=` + `}},HJ=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let a=e.length;if(a>4)throw new Error(`WebGL backend: Reverse of rank-${a} tensor is not yet supported`);this.outputShape=e;let n=Ia("rc",a),r=`${n[a-1]} + 1 < ${this.outputShape[a-1]}`,s=`${n[a-2]} + 1 < ${this.outputShape[a-2]}`,i=ft(a);a===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); @@ -4415,7 +4489,7 @@ return a / b;`,jK=` } setOutput(result); } - `;function o(h){return c(h)}function l(h){return h[a-1]="("+h[a-1]+" + 1)",c(h)}function u(h){return h[a-2]="("+h[a-2]+" + 1)",c(h)}function p(h){return h[a-1]="("+h[a-1]+" + 1)",h[a-2]="("+h[a-2]+" + 1)",c(h)}function c(h){let f=e.map((y,x)=>d(x,h)),m=f.join(","),g=f.slice(-2).join(",");return`getChannel(getX(${m}), vec2(${g}))`}function d(h,f){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${f[h]} - 1`:`${f[h]}`}}};function oY(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return Qa({inputs:{x:r},backend:a});let l=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new iY(r.shape,o):new sY(r.shape,o);return a.runWebGLProgram(l,[r],r.dtype)}var lY={kernelName:Qi,backendName:"webgl",kernelFunc:oY},uY=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let a=e[1],n=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` + `;function o(h){return c(h)}function l(h){return h[a-1]="("+h[a-1]+" + 1)",c(h)}function u(h){return h[a-2]="("+h[a-2]+" + 1)",c(h)}function p(h){return h[a-1]="("+h[a-1]+" + 1)",h[a-2]="("+h[a-2]+" + 1)",c(h)}function c(h){let f=e.map((y,x)=>d(x,h)),m=f.join(","),g=f.slice(-2).join(",");return`getChannel(getX(${m}), vec2(${g}))`}function d(h,f){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${f[h]} - 1`:`${f[h]}`}}};function jJ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return en({inputs:{x:r},backend:a});let l=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new HJ(r.shape,o):new GJ(r.shape,o);return a.runWebGLProgram(l,[r],r.dtype)}var qJ={kernelName:vo,backendName:"webgl",kernelFunc:jJ},XJ=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let a=e[1],n=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=` vec3 fill = vec3(${t.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { @@ -4434,7 +4508,7 @@ return a / b;`,jK=` } setOutput(outputValue); } - `}},dY={kernelName:go,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=new uY(n.shape,s),[u,p]=T.getImageCenter(i,n.shape[1],n.shape[2]),c=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[n],n.dtype,c)}},pY=` + `}},KJ={kernelName:Uo,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=new XJ(n.shape,s),[u,p]=S.getImageCenter(i,n.shape[1],n.shape[2]),c=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[n],n.dtype,c)}},YJ=` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -4449,27 +4523,64 @@ return a / b;`,jK=` return base + 1.0; } } -`,cY=Qe({opSnippet:pY}),hY={kernelName:eo,backendName:"webgl",kernelFunc:cY},fY="return inversesqrt(x);",mY=Qe({opSnippet:fY,cpuKernelImpl:_U}),gY={kernelName:to,backendName:"webgl",kernelFunc:mY},xv=class{constructor(e,t,a,n,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";a===1?u="i":a===2&&(u="i, j");let p=`getIndices(${u})`,c="";n===1?c="i":n===2&&(c="i, coords[1]");let d=`getUpdates(${c})`,h=t>1?"strides[j]":"strides";this.userCode=` - ${o} strides = ${o}(${r}); +`,ZJ=et({opSnippet:YJ}),JJ={kernelName:wo,backendName:"webgl",kernelFunc:ZJ},QJ="return inversesqrt(x);",eQ=et({opSnippet:QJ,cpuKernelImpl:mH}),tQ={kernelName:ko,backendName:"webgl",kernelFunc:eQ},Cg=class{constructor(e,t,a,n,r,s,i=!0,o=!1){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let l=ft(r.length),u=ft(s.length),p="";a===1?p="i":a===2&&(p="i, j");let c=`getIndices(${p})`,d="";n===1?d="i":n===2&&(d="i, coords[1]");let h=`getUpdates(${d})`,f="";o&&(f="coords[0], coords[1]");let m=`getDefaultValue(${f})`,g=t>1?"strides[j]":"strides";this.userCode=` + ${l} strides = ${l}(${r}); void main() { - ${l} coords = getOutputCoords(); + ${u} coords = getOutputCoords(); float sum = 0.0; bool found = false; for (int i = 0; i < ${e}; i++) { int flattenedIndex = 0; for (int j = 0; j < ${t}; j++) { - int index = round(${p}); - flattenedIndex += index * ${h}; + int index = round(${c}); + flattenedIndex += index * ${g}; } if (flattenedIndex == coords[0]) { - sum += ${d}; + sum += ${h}; found = true; } } - setOutput(mix(getDefaultValue(), sum, float(found))); + setOutput(mix(${m}, sum, float(found))); } - `}};function yY(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=T.calculateShapes(s,r,i),d=[c/u,u];if(c===0)return a.makeTensorInfo(i,r.dtype);let h=pe({inputs:{x:r},backend:a,attrs:{shape:[l,o]}}),f=pe({inputs:{x:s},backend:a,attrs:{shape:[l,u]}}),m=a.makeTensorInfo([],"float32",new Float32Array([0])),g=new xv(l,o,h.shape.length,f.shape.length,p,d),y=a.runWebGLProgram(g,[f,h,m],f.dtype),x=pe({inputs:{x:y},backend:a,attrs:{shape:i}});return a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(y),a.disposeIntermediateTensorInfo(m),x}var xY={kernelName:ao,backendName:"webgl",kernelFunc:yY},AY=class{constructor(e,t,a,n){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,a];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=V().getNumber("WEBGL_VERSION")===2?r:s,o=n==="left"?"<":"<=";this.userCode=` + `}},aQ=class{constructor(e,t,a,n,r,s,i=!0,o=!1){this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=s;let l=ft(r.length),u=ft(s.length),p="";a===1?p="i":a===2&&(p="i, j");let c=`getIndices(${p})`,d="";n===1?d="i":n===2&&(d="i, coords[1]");let h=`getUpdates(${d})`,f="";o&&(f="coords[0], coords[1]");let m=`getDefaultValue(${f})`,g=t>1?"strides[j]":"strides",y=t>1?"strides[j + 1]":"strides";this.userCode=` + ${l} strides = ${l}(${r}); + + void main() { + ${u} coords = getOutputCoords(); + vec4 sum = vec4(0.); + vec4 found = vec4(0.); + for (int i = 0; i < ${e}; i+=2) { + ivec2 flattenedIndex = ivec2(0); + for (int j = 0; j < ${t}; j+=2) { + ivec4 index = round(${c}); + flattenedIndex += index.xz * ${g}; + if (j + 1 < ${t}) { + flattenedIndex += index.yw * ${y}; + } + } + if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] || + flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) { + vec4 updVals = ${h}; + if (flattenedIndex[0] == coords[0]) { + sum.xy += updVals.xy; + found.xy = vec2(1.); + } else if (flattenedIndex[0] == coords[0] + 1) { + sum.zw += updVals.xy; + found.zw = vec2(1.); + } + if (flattenedIndex[1] == coords[0]) { + sum.xy += updVals.zw; + found.xy = vec2(1.); + } else if (flattenedIndex[1] == coords[0] + 1) { + sum.zw += updVals.zw; + found.zw = vec2(1.); + } + } + } + setOutput(mix(${m}, sum, found)); + } + `}};function nQ(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=S.calculateShapes(s,r,i),d=[c/u,u];if(c===0)return a.makeTensorInfo(i,r.dtype);let h=ue({inputs:{x:r},backend:a,attrs:{shape:[l,o]}}),f=ue({inputs:{x:s},backend:a,attrs:{shape:[l,u]}}),m=a.makeTensorInfo([],"float32",new Float32Array([0])),g;W().getBool("WEBGL_PACK")?g=new aQ(l,o,h.shape.length,f.shape.length,p,d):g=new Cg(l,o,h.shape.length,f.shape.length,p,d);let y=a.runWebGLProgram(g,[f,h,m],f.dtype),x=ue({inputs:{x:y},backend:a,attrs:{shape:i}});return a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(y),a.disposeIntermediateTensorInfo(m),x}var rQ={kernelName:Io,backendName:"webgl",kernelFunc:nQ},sQ=class{constructor(e,t,a,n){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,a];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=W().getNumber("WEBGL_VERSION")===2?r:s,o=n==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; @@ -4494,7 +4605,7 @@ return a / b;`,jK=` setOutput(float(findBound(batch, value))); } - `}};function bY(e){let{inputs:t,backend:a,attrs:n}=e,{sortedSequence:r,values:s}=t,{side:i}=n,o=new AY(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return a.runWebGLProgram(o,[r,s],"int32",l)}var vY={kernelName:zd,backendName:"webgl",kernelFunc:bY},kY=class{constructor(e,t,a){this.variableNames=["c","a","b"],this.outputShape=t;let n,r;if(a>4)throw Error(`Where for rank ${a} is not yet supported`);if(a===1)r="resRC",n="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u4)throw Error(`Where for rank ${a} is not yet supported`);if(a===1)r="resRC",n="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); -`,TY=Qe({opSnippet:SY}),CY={kernelName:ql,backendName:"webgl",kernelFunc:TY},NY=mu+` +`,cQ=et({opSnippet:pQ}),hQ={kernelName:To,backendName:"webgl",kernelFunc:cQ},fQ=Vu+` return 1.0 / (1.0 + exp(-1.0 * x)); -`,EY=` +`,mQ=` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -4522,15 +4633,20 @@ return a / b;`,jK=` result.a = isNaN.a ? x.a : result.a; return result; -`,RY=Qe({opSnippet:NY,packedOpSnippet:EY,cpuKernelImpl:FU}),MY={kernelName:ro,backendName:"webgl",kernelFunc:RY},$Y=` +`,gQ=et({opSnippet:fQ,packedOpSnippet:mQ,cpuKernelImpl:yH}),yQ={kernelName:Eo,backendName:"webgl",kernelFunc:gQ},xQ=` if (isnan(x)) { return 0.0; } return sign(x); -`,_Y=Qe({opSnippet:$Y}),PY={kernelName:Zl,backendName:"webgl",kernelFunc:_Y},FY=mu+` +`,AQ=et({opSnippet:xQ}),bQ={kernelName:Ro,backendName:"webgl",kernelFunc:AQ},vQ=Vu+` return sin(x); -`,OY=Qe({opSnippet:FY}),DY={kernelName:no,backendName:"webgl",kernelFunc:OY},zY=` +`,wQ=` + vec4 result = sin(x); + bvec4 isNaN = isnan(x); + ${Xo} + return result; +`,kQ=et({opSnippet:vQ,packedOpSnippet:wQ}),IQ={kernelName:No,backendName:"webgl",kernelFunc:kQ},SQ=` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; -`,LY=Qe({opSnippet:zY}),BY={kernelName:Kl,backendName:"webgl",kernelFunc:LY},WY=` +`,CQ=et({opSnippet:SQ}),TQ={kernelName:Su,backendName:"webgl",kernelFunc:CQ},NQ=` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -4550,17 +4666,17 @@ return a / b;`,jK=` result = log(exp_x + 1.0); } return result; -`,VY=Qe({opSnippet:WY}),UY={kernelName:Yl,backendName:"webgl",kernelFunc:VY},GY=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=[[0,0]];l.push(...i);for(let y=1+s.length;ya.disposeIntermediateTensorInfo(y)),g},HY={kernelName:Jl,backendName:"webgl",kernelFunc:GY};function jY(e){let{inputs:t,backend:a}=e,{indices:n,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: +`,RQ=et({opSnippet:NQ}),EQ={kernelName:Mo,backendName:"webgl",kernelFunc:RQ},MQ=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=[[0,0]];l.push(...i);for(let y=1+s.length;ya.disposeIntermediateTensorInfo(y)),g},FQ={kernelName:Cu,backendName:"webgl",kernelFunc:MQ};function _Q(e){let{inputs:t,backend:a}=e,{indices:n,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${n.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw: ${r.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw: - ${i.shape}`);let o=a.readSync(n.dataId),l=a.readSync(r.dataId),u=a.readSync(s.dataId),p=a.readSync(i.dataId)[0],[c,d,h,f,m]=DU(o,n.shape,n.dtype,l,r.dtype,u,p);return[a.makeTensorInfo(d,n.dtype,c),a.makeTensorInfo([d[0]],r.dtype,h),a.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),a.makeTensorInfo([m.length],n.dtype,new Int32Array(m))]}var qY={kernelName:Ld,backendName:"webgl",kernelFunc:jY};function XY(e){let{inputs:t,backend:a}=e,{inputIndices:n,inputShape:r,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(a.readSync(r.dataId)),o=a.readSync(n.dataId),l=Array.from(a.readSync(s.dataId)),[u,p,c]=zU(o,n.shape,n.dtype,i,l);return[a.makeTensorInfo(p,n.dtype,u),a.makeTensorInfo([c.length],s.dtype,new Int32Array(c))]}var KY={kernelName:eu,backendName:"webgl",kernelFunc:XY};function ZY(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${i.shape}`);let o=a.readSync(n.dataId),l=a.readSync(r.dataId),u=a.readSync(s.dataId),p=a.readSync(i.dataId)[0],[c,d,h,f,m]=AH(o,n.shape,n.dtype,l,r.dtype,u,p);return[a.makeTensorInfo(d,n.dtype,c),a.makeTensorInfo([d[0]],r.dtype,h),a.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),a.makeTensorInfo([m.length],n.dtype,new Int32Array(m))]}var $Q={kernelName:hp,backendName:"webgl",kernelFunc:_Q};function DQ(e){let{inputs:t,backend:a}=e,{inputIndices:n,inputShape:r,newShape:s}=t;if(n.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${n.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(a.readSync(r.dataId)),o=a.readSync(n.dataId),l=Array.from(a.readSync(s.dataId)),[u,p,c]=bH(o,n.shape,n.dtype,i,l);return[a.makeTensorInfo(p,n.dtype,u),a.makeTensorInfo([c.length],s.dtype,new Int32Array(c))]}var PQ={kernelName:Nu,backendName:"webgl",kernelFunc:DQ};function OQ(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=B6(i,n.shape,n.dtype,o,l,!0);return a.makeTensorInfo(p,n.dtype,u)}var YY={kernelName:Bd,backendName:"webgl",kernelFunc:ZY};function JY(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);let i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=Wv(i,n.shape,n.dtype,o,l,!0);return a.makeTensorInfo(p,n.dtype,u)}var zQ={kernelName:fp,backendName:"webgl",kernelFunc:OQ};function LQ(e){let{inputs:t,backend:a}=e,{data:n,indices:r,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=B6(i,n.shape,n.dtype,o,l);return a.makeTensorInfo(p,n.dtype,u)}var QY={kernelName:Wd,backendName:"webgl",kernelFunc:JY};function eJ(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=T.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let y=a.bufferSync(r),x=a.bufferSync(s),A=v.decodeString(a.readSync(i.dataId)[0]),b=PU(y,x,o,d,p,u,l,c,A,h);return a.makeTensorInfo(o,b.dtype,b.values)}let f=new xv(u,l,r.shape.length,s.shape.length,c,[d,1],h),m=a.runWebGLProgram(f,[s,r,i],s.dtype),g=pe({inputs:{x:m},backend:a,attrs:{shape:o}});return a.disposeIntermediateTensorInfo(m),g}var tJ={kernelName:Vd,backendName:"webgl",kernelFunc:eJ};function aJ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),c=r.shape.slice();return l.map(d=>{let h=[...c];h[o]=d;let f=gu({inputs:{x:r},backend:a,attrs:{begin:p,size:h}});return p[o]+=d,f})}var nJ={kernelName:Ql,backendName:"webgl",kernelFunc:aJ},Ry="return sqrt(x);",rJ=Qe({opSnippet:Ry,packedOpSnippet:Ry,cpuKernelImpl:LU}),sJ={kernelName:so,backendName:"webgl",kernelFunc:rJ},iJ="return x * x;",oJ=Qe({opSnippet:iJ}),lJ={kernelName:Ud,backendName:"webgl",kernelFunc:oJ},My="return (a - b) * (a - b);",uJ=pa({opSnippet:My,packedOpSnippet:My}),dJ={kernelName:lo,backendName:"webgl",kernelFunc:uJ};function pJ({inputs:e,attrs:t,backend:a}){let{x:n}=e,r=En+` + ${s.shape}`);let i=a.readSync(n.dataId),o=a.readSync(r.dataId),l=a.readSync(s.dataId),[u,p]=Wv(i,n.shape,n.dtype,o,l);return a.makeTensorInfo(p,n.dtype,u)}var WQ={kernelName:mp,backendName:"webgl",kernelFunc:LQ};function BQ(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=S.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let y=a.bufferSync(r),x=a.bufferSync(s),A=v.decodeString(a.readSync(i.dataId)[0]),b=gH(y,x,o,d,p,u,l,c,A,h);return a.makeTensorInfo(o,b.dtype,b.values)}let f=new Cg(u,l,r.shape.length,s.shape.length,c,[d,1],h),m=a.runWebGLProgram(f,[s,r,i],s.dtype),g=ue({inputs:{x:m},backend:a,attrs:{shape:o}});return a.disposeIntermediateTensorInfo(m),g}var VQ={kernelName:Do,backendName:"webgl",kernelFunc:BQ};function UQ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=S.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),c=r.shape.slice();return l.map(d=>{let h=[...c];h[o]=d;let f=Uu({inputs:{x:r},backend:a,attrs:{begin:p,size:h}});return p[o]+=d,f})}var GQ={kernelName:Tu,backendName:"webgl",kernelFunc:UQ},Ix="return sqrt(x);",HQ=et({opSnippet:Ix,packedOpSnippet:Ix,cpuKernelImpl:vH}),jQ={kernelName:Fo,backendName:"webgl",kernelFunc:HQ},qQ="return x * x;",XQ=et({opSnippet:qQ}),KQ={kernelName:gp,backendName:"webgl",kernelFunc:XQ},Sx="return (a - b) * (a - b);",YQ=fa({opSnippet:Sx,packedOpSnippet:Sx}),ZQ={kernelName:Po,backendName:"webgl",kernelFunc:YQ};function JQ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");let s=a.readSync(r.dataId),i=S.fromUint8ToStringArray(s),o=wH(i,"string",n);return a.makeTensorInfo(r.shape,"string",o)}var QQ={kernelName:yp,backendName:"webgl",kernelFunc:JQ};function eee({inputs:e,attrs:t,backend:a}){let{x:n}=e,r=Rn+` return x > 0.0 ? 1.0 : float(${t.alpha}); - `,s=new qn(n.shape,r);return a.runWebGLProgram(s,[n],n.dtype)}var cJ={kernelName:rs,backendName:"webgl",kernelFunc:pJ},hJ=class{constructor(e,t,a){this.variableNames=["x"],this.outputShape=a;let n=a.length,r=gt(a.length),s=gt(a.length),i="";if(n===1)i="coords * strides + begin";else{let o=0;i=a.map((l,u)=>(o++,a.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` + `,s=new Yn(n.shape,r);return a.runWebGLProgram(s,[n],n.dtype)}var tee={kernelName:is,backendName:"webgl",kernelFunc:eee},aee=class{constructor(e,t,a){this.variableNames=["x"],this.outputShape=a;let n=a.length,r=ft(a.length),s=ft(a.length),i="";if(n===1)i="coords * strides + begin";else{let o=0;i=a.map((l,u)=>(o++,a.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` ${r} begin = ${r}(${e}); ${r} strides = ${r}(${t}); @@ -4568,15 +4684,15 @@ return a / b;`,jK=` ${s} coords = getOutputCoords(); setOutput(getX(${i})); } - `}};function fJ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=St.sliceInfo(r.shape,s,i,o,l,u,p,c,d),k;if(m)k=pe({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=St.computeOutShape(x,A,b),N=gu({inputs:{x:r},backend:a,attrs:{begin:x,size:C}});k=pe({inputs:{x:N},backend:a,attrs:{shape:f}}),a.disposeIntermediateTensorInfo(N)}else if(a.shouldExecuteOnCPU([r])){let C=a.readSync(r.dataId),N=_e(r.shape,r.dtype,C),$=BU(h,N,b,x);k=a.makeTensorInfo(f,r.dtype,$.values)}else{let C=new hJ(x,b,h);k=a.runWebGLProgram(C,[r],r.dtype)}let S=pe({inputs:{x:k},backend:a,attrs:{shape:f}});return a.disposeIntermediateTensorInfo(k),S}var mJ={kernelName:uo,backendName:"webgl",kernelFunc:fJ};function gJ(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.readSync(p.dataId),h=a.readSync(c.dataId),[f,m]=WU(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var yJ={kernelName:tu,backendName:"webgl",kernelFunc:gJ};function xJ(e){let{inputs:t,backend:a,attrs:n}=e,{skipEmpty:r}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=a.readSync(s.dataId),l=a.readSync(i.dataId)[0],[u,p,c]=VU(o,l,r),d=p.length;return[a.makeTensorInfo([d,2],"int32",u),a.makeTensorInfo([d],"string",p),a.makeTensorInfo([2],"int32",new Int32Array(c))]}var AJ={kernelName:Gd,backendName:"webgl",kernelFunc:xJ};function bJ(e){let{inputs:t,backend:a,attrs:n}=e,{numBuckets:r}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=a.readSync(s.dataId),o=UU(i,r);return a.makeTensorInfo(s.shape,"int32",o)}var vJ={kernelName:Hd,backendName:"webgl",kernelFunc:bJ},kJ="return tan(x);",wJ=Qe({opSnippet:kJ}),IJ={kernelName:co,backendName:"webgl",kernelFunc:wJ},SJ=` + `}};function nee(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=Nt.sliceInfo(r.shape,s,i,o,l,u,p,c,d),w;if(m)w=ue({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Nt.computeOutShape(x,A,b),N=Uu({inputs:{x:r},backend:a,attrs:{begin:x,size:T}});w=ue({inputs:{x:N},backend:a,attrs:{shape:f}}),a.disposeIntermediateTensorInfo(N)}else if(a.shouldExecuteOnCPU([r])){let T=a.readSync(r.dataId),N=$e(r.shape,r.dtype,T),M=kH(h,N,b,x);w=a.makeTensorInfo(f,r.dtype,M.values)}else{let T=new aee(x,b,h);w=a.runWebGLProgram(T,[r],r.dtype)}let C=ue({inputs:{x:w},backend:a,attrs:{shape:f}});return a.disposeIntermediateTensorInfo(w),C}var ree={kernelName:Oo,backendName:"webgl",kernelFunc:nee};function see(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.readSync(p.dataId),h=a.readSync(c.dataId),[f,m]=IH(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var iee={kernelName:Ru,backendName:"webgl",kernelFunc:see};function oee(e){let{inputs:t,backend:a,attrs:n}=e,{skipEmpty:r}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=a.readSync(s.dataId),l=a.readSync(i.dataId)[0],[u,p,c]=SH(o,l,r),d=p.length;return[a.makeTensorInfo([d,2],"int32",u),a.makeTensorInfo([d],"string",p),a.makeTensorInfo([2],"int32",new Int32Array(c))]}var lee={kernelName:xp,backendName:"webgl",kernelFunc:oee};function uee(e){let{inputs:t,backend:a,attrs:n}=e,{numBuckets:r}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=a.readSync(s.dataId),o=CH(i,r);return a.makeTensorInfo(s.shape,"int32",o)}var dee={kernelName:Ap,backendName:"webgl",kernelFunc:uee},pee="return tan(x);",cee=et({opSnippet:pee}),hee={kernelName:Lo,backendName:"webgl",kernelFunc:cee},fee=` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); -`,TJ=Qe({opSnippet:SJ}),CJ={kernelName:ho,backendName:"webgl",kernelFunc:TJ},NJ=class{constructor(e,t){this.variableNames=["A"];let a=new Array(e.length);for(let s=0;s5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let a=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let r=0;r5){let o=a.readSync(r.dataId),l=r.dtype==="string"?o.map(c=>v.decodeString(c)):o,u=_e(r.shape,r.dtype,l),p=HU(u,s);return a.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new NJ(r.shape,s);return a.runWebGLProgram(i,[r],r.dtype)}var RJ={kernelName:ns,backendName:"webgl",kernelFunc:Av},MJ=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` + `}};function bee(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let a=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let r=0;r5){let o=a.readSync(r.dataId),l=r.dtype==="string"?o.map(c=>v.decodeString(c)):o,u=$e(r.shape,r.dtype,l),p=NH(u,s);return a.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new Aee(r.shape,s);return a.runWebGLProgram(i,[r],r.dtype)}var vee={kernelName:ss,backendName:"webgl",kernelFunc:x8},wee=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -4616,7 +4732,7 @@ return a / b;`,jK=` setOutput(float(i1)); } } - `}},$J=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` + `}},kee=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); @@ -4650,7 +4766,7 @@ return a / b;`,jK=` setOutput(x0 >= x1 ? float(i0) : float(i1)); } - `}};function Rs(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function $y(e){let t=1;for(;tl){let $=a.readSync(r.dataId),[M,R]=jU($,u,r.dtype,s,i);return[a.makeTensorInfo(M.shape,M.dtype,M.values),a.makeTensorInfo(R.shape,R.dtype,R.values)]}if(s===0)return u[u.length-1]=0,[a.makeTensorInfo(u,r.dtype,[]),a.makeTensorInfo(u,"int32",[])];if(p===1)return[r,gp({attrs:{shape:u,dtype:"int32",value:0},backend:a})];let c=a.texData.get(r.dataId),d=c!==null&&c.isPacked,h=d?a.unpackTensor(r):r,f=v.sizeFromShape(u)/p,m=pe({inputs:{x:h},attrs:{shape:[f,p]},backend:a});d&&Rs(a,h);let g=$y(s),y=$y(p),x=null,A=()=>x===null?[m,m]:[m,x],b=($,M,R)=>{let I=A(),_=new MJ(R),D=[[p],[x===null?1:0],[Number.NEGATIVE_INFINITY],[$],[M]],W=x;x=a.runWebGLProgram(_,I,"int32",D),Rs(a,W)};for(let $=1;$=1;R/=2)b(M,R,[f,y])}for(let $=y;$>g;$/=2){let M=A(),R=new $J([f,$/2]),I=[[p],[x===null?1:0],[g]],_=x;x=a.runWebGLProgram(R,M,"int32",I),Rs(a,_);let D=g/2,W=D*2;for(let P=D;P>=1;P/=2)b(W,P,x.shape)}let k=x;x=gu({inputs:{x},backend:a,attrs:{begin:0,size:[f,s]}}),Rs(a,k);let S=dv({inputs:{x:m,indices:x},backend:a,attrs:{axis:1,batchDims:1}});Rs(a,m);let C=u.slice(0,-1);C.push(s),k=x,x=pe({inputs:{x},attrs:{shape:C},backend:a}),Rs(a,k);let N=S;return S=pe({inputs:{x:S},attrs:{shape:C},backend:a}),Rs(a,N),[S,x]}var PJ={kernelName:fo,backendName:"webgl",kernelFunc:_J},FJ=class{constructor(e,t,a,n,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=a==="nearest"?1:2,o;switch(n){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` + `}};function _s(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function Cx(e){let t=1;for(;tl){let M=a.readSync(r.dataId),[F,E]=RH(M,u,r.dtype,s,i);return[a.makeTensorInfo(F.shape,F.dtype,F.values),a.makeTensorInfo(E.shape,E.dtype,E.values)]}if(s===0)return u[u.length-1]=0,[a.makeTensorInfo(u,r.dtype,[]),a.makeTensorInfo(u,"int32",[])];if(p===1)return[r,Hp({attrs:{shape:u,dtype:"int32",value:0},backend:a})];let c=a.texData.get(r.dataId),d=c!==null&&c.isPacked,h=d?a.unpackTensor(r):r,f=v.sizeFromShape(u)/p,m=ue({inputs:{x:h},attrs:{shape:[f,p]},backend:a});d&&_s(a,h);let g=Cx(s),y=Cx(p),x=null,A=()=>x===null?[m,m]:[m,x],b=(M,F,E)=>{let I=A(),_=new wee(E),O=[[p],[x===null?1:0],[Number.NEGATIVE_INFINITY],[M],[F]],B=x;x=a.runWebGLProgram(_,I,"int32",O),_s(a,B)};for(let M=1;M=1;E/=2)b(F,E,[f,y])}for(let M=y;M>g;M/=2){let F=A(),E=new kee([f,M/2]),I=[[p],[x===null?1:0],[g]],_=x;x=a.runWebGLProgram(E,F,"int32",I),_s(a,_);let O=g/2,B=O*2;for(let $=O;$>=1;$/=2)b(B,$,x.shape)}let w=x;x=Uu({inputs:{x},backend:a,attrs:{begin:0,size:[f,s]}}),_s(a,w);let C=d8({inputs:{x:m,indices:x},backend:a,attrs:{axis:1,batchDims:1}});_s(a,m);let T=u.slice(0,-1);T.push(s),w=x,x=ue({inputs:{x},attrs:{shape:T},backend:a}),_s(a,w);let N=C;return C=ue({inputs:{x:C},attrs:{shape:T},backend:a}),_s(a,N),[C,x]}var See={kernelName:Bo,backendName:"webgl",kernelFunc:Iee},Cee=class{constructor(e,t,a,n,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=a==="nearest"?1:2,o;switch(n){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${o} == 2) { @@ -4762,7 +4878,7 @@ return a / b;`,jK=` } setOutput(outputValue); } - `}};function OJ(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new FJ(c,d,i,o,l,g);return a.runWebGLProgram(y,[r,s],"float32")}var DJ={kernelName:mo,backendName:"webgl",kernelFunc:OJ};function zJ(e){let{inputs:t,attrs:a,backend:n}=e,{axis:r}=a,{x:s}=t;uu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=qU(i,r,s.shape,s.dtype);return[n.makeTensorInfo(l,s.dtype,o),n.makeTensorInfo([u.length],"int32",u)]}var LJ={kernelName:lh,backendName:"webgl",kernelFunc:zJ};function BJ(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let m=0;ma.disposeIntermediateTensorInfo(m)),f}var WJ={kernelName:au,backendName:"webgl",kernelFunc:BJ},VJ=class{constructor(e,t){this.variableNames=["x","segmentIds"];let a=e.windowSize,n=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/a);this.outputShape=[n,i];let o="0.0",l="sumValue",u=Math.floor(a/4)*4,p=a%4,c=` + `}};function Tee(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new Cee(c,d,i,o,l,g);return a.runWebGLProgram(y,[r,s],"float32")}var Nee={kernelName:Vo,backendName:"webgl",kernelFunc:Tee};function Ree(e){let{inputs:t,attrs:a,backend:n}=e,{axis:r}=a,{x:s}=t;Pu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=EH(i,r,s.shape,s.dtype);return[n.makeTensorInfo(l,s.dtype,o),n.makeTensorInfo([u.length],"int32",u)]}var Eee={kernelName:bp,backendName:"webgl",kernelFunc:Ree};function Mee(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let m=0;ma.disposeIntermediateTensorInfo(m)),f}var Fee={kernelName:Eu,backendName:"webgl",kernelFunc:Mee},_ee=class{constructor(e,t){this.variableNames=["x","segmentIds"];let a=e.windowSize,n=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/a);this.outputShape=[n,i];let o="0.0",l="sumValue",u=Math.floor(a/4)*4,p=a%4,c=` sumValue += dot(values, segFilter); `,d="";r%a>0&&(d=` if (inIdx < 0 || inIdx >= ${r}) { @@ -4868,9 +4984,9 @@ return a / b;`,jK=` } setOutput(${l}); } - `}};function UJ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,segmentIds:s}=t,{numSegments:i}=n,o=r.shape.length,l=[],u=0,p=T.getAxesPermutation([u],o),c=r;p!=null&&(c=Ta({inputs:{x:r},backend:a,attrs:{perm:p}}),l.push(c),u=T.getInnerMostAxes(1,o)[0]);let d=T.segment_util.computeOutShape(c.shape,u,i),h=v.sizeFromShape([c.shape[u]]),f=pe({inputs:{x:c},backend:a,attrs:{shape:[-1,h]}});l.push(f);let m=Xd(r.dtype),g=(b,k,S,C,N)=>{let $=b.shape[0],M=b.shape[1],R=T.segment_util.segOpComputeOptimalWindowSize(M,N),I={windowSize:R,inSize:M,batchSize:$,numSegments:N},_=new VJ(I,k),D=a.compileAndRun(_,[b,S],C);if(l.push(D),D.shape[1]===N)return D;let W=yv({backend:a,attrs:{start:0,stop:N,step:1,dtype:"float32"}}),P=Av({inputs:{x:W},backend:a,attrs:{reps:[M/R]}});return l.push(W),l.push(P),g(D,k,P,C,N)},y=g(f,"unsortedSegmentSum",s,m,i),x=pe({inputs:{x:y},backend:a,attrs:{shape:d}}),A=x;if(p!=null){l.push(x);let b=T.getUndoAxesPermutation(p);A=Ta({inputs:{x:A},backend:a,attrs:{perm:b}})}return l.forEach(b=>a.disposeIntermediateTensorInfo(b)),A}var GJ={kernelName:uh,backendName:"webgl",kernelFunc:UJ},HJ=[BG,VG,HG,XG,ZG,QG,tH,nH,oH,uH,cH,mH,xH,kH,SH,CH,EH,_H,FH,DH,WH,XH,ZH,JH,rj,ij,dj,wG,hj,xj,kj,Nj,Rj,$j,Pj,Oj,Lj,Vj,Hj,qj,Kj,Yj,eq,aq,iq,lq,pq,fq,gq,bq,Iq,Nq,Mq,Pq,Fq,Dq,Lq,Wq,Uq,Hq,Kq,Jq,tX,nX,iX,uX,hX,yX,kG,AX,gj,kX,SX,NX,SG,$X,OX,zX,VX,HX,KX,JX,aK,iK,uK,pK,mK,yK,AK,wK,SK,CK,EK,MK,FK,LK,UK,YK,NG,tZ,rZ,oZ,dZ,ej,hZ,mZ,yZ,bZ,IZ,CG,TZ,NZ,RZ,$Z,_Z,tj,qK,OZ,BZ,GZ,RG,XZ,YZ,tY,rY,lY,dY,hY,gY,xY,vY,IY,CY,MY,PY,DY,BY,jH,KK,UY,HY,qY,KY,YY,QY,tJ,nJ,sJ,lJ,dJ,cJ,mJ,yJ,AJ,vJ,XK,DG,IJ,CJ,RJ,PJ,DJ,zG,LJ,WJ,GJ,fZ];for(let e of HJ)yn(e);var Ct;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Ct||(Ct={}));var bd;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(bd||(bd={}));var bv;function jJ(e){bv=e.wasm.cwrap(Hr,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function qJ(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n,d=a.dataIdMap.get(r.dataId).id,h=a.dataIdMap.get(s.dataId).id,f=0;if(i!=null){let N=a.dataIdMap.get(i.dataId);if(N.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${N.shape.length}.`);f=N.id}let m=o==null?0:a.dataIdMap.get(o.dataId).id,g=bd[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],x=u?s.shape[1]:s.shape[2],A=xo.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),b=a.makeOutput([...A,y,x],r.dtype),k=a.dataIdMap.get(b.dataId).id,S=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return bv(d,S,r.shape.length,h,C,s.shape.length,l,u,g,f,m,c||0,k),b}var XJ={kernelName:Hr,backendName:"wasm",setupFunc:jJ,kernelFunc:qJ};function Bt(e,t){let a;function n(s){a=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||a(l,Ct[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:r}}var KJ=Bt(vl);function ca(e,t,a){let n;function r(i){n=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,c=o.dataIdMap.get(u.dataId).id,d=o.dataIdMap.get(p.dataId).id,h=a!=null?a:u.dtype,f=T.assertAndGetBroadcastShape(u.shape,p.shape),m=o.makeOutput(f,h);if(v.sizeFromShape(f)===0)return m;let g=new Uint8Array(new Int32Array(u.shape).buffer),y=new Uint8Array(new Int32Array(p.shape).buffer),x=o.dataIdMap.get(m.dataId).id;return n(c,g,u.shape.length,d,y,p.shape.length,Ct[u.dtype],x),m}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var ZJ=!0,YJ=ca(ts,ZJ),vv;function JJ(e){vv=e.wasm.cwrap(Ks,null,["array","number","number","number"])}function QJ(e){let{inputs:t,backend:a}=e,n=a.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(n.shape)===0)return n;let r=t.map(o=>a.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=a.dataIdMap.get(n.dataId).id;return vv(s,r.length,Ct[n.dtype],i),n}var eQ={kernelName:Ks,backendName:"wasm",setupFunc:JJ,kernelFunc:QJ};function Ph(e){let{inputs:{x:t},backend:a}=e;if(t.dtype==="string")return Ue(a.readSync(t.dataId),t.shape,t.dtype);let n=a.makeOutput(t.shape,t.dtype),r=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(n).set(r),n}var tQ={kernelName:wi,backendName:"wasm",kernelFunc:Ph},kv;function aQ(e){kv=e.wasm.cwrap(Ar,null,["number","array","number","number","number","array","number"])}function Qr(e){let{inputs:t,backend:a,attrs:n}=e,[r,s]=rQ(t.x.shape,n.perm),i=!0;for(let f=0;f=r&&(s===-1||n[s]>n[i])&&(s=i);n[s]=r}return[a,n]}var sQ={kernelName:Ar,backendName:"wasm",kernelFunc:Qr,setupFunc:aQ};function us(e,t,a){let n=e.shape,r=e.shape.length,s=v.parseAxisParam(t,n),i=s,o=T.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let d=0;d`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var xQ={kernelName:Hl,backendName:"wasm",kernelFunc:Wa},Cv;function AQ(e){Cv=e.wasm.cwrap(ei,null,["number","array","number","number","array","number","number","number","number"])}function bQ(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],c=o?s.shape[u-1]:s.shape[u-2],d=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],f=r.shape.slice(0,-2),m=s.shape.slice(0,-2),g=v.sizeFromShape(f),y=v.sizeFromShape(m),x=xo.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([d,h]);v.assert(p===c,()=>`Error in matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let A=i?[g,p,d]:[g,d,p],b=o?[y,h,c]:[y,c,h],k=Wa({inputs:{x:r},backend:a,attrs:{shape:A}}),S=Wa({inputs:{x:s},backend:a,attrs:{shape:b}}),C=a.dataIdMap.get(k.dataId).id,N=a.dataIdMap.get(S.dataId).id,$=i?k.shape[2]:k.shape[1],M=o?S.shape[1]:S.shape[2],R=Math.max(g,y),I=a.makeOutput([R,$,M],k.dtype),_=a.dataIdMap.get(I.dataId).id,D=new Uint8Array(new Int32Array(k.shape).buffer),W=new Uint8Array(new Int32Array(S.shape).buffer);return Cv(C,D,k.shape.length,N,W,S.shape.length,i,o,_),a.disposeData(k.dataId),a.disposeData(S.dataId),I.shape=x,I}var vQ={kernelName:ei,backendName:"wasm",setupFunc:AQ,kernelFunc:bQ};function qs(e){let{inputs:{x:t},attrs:{begin:a,size:n},backend:r}=e,[s,i]=St.parseSliceParams(t,a,n),o=St.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),c=r.dataIdMap.get(u.dataId);if(o){let f=St.computeFlatOffset(s,p);return t.dtype==="string"?c.stringBytes=l.slice(f,f+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(f,f+v.sizeFromShape(i))),u}if(t.dtype==="string"){let f=Fc(l,s,i,t.shape,t.dtype);return c.stringBytes=f,u}let d=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)kQ(l,p[0],d,s,i);else if(h===3)wQ(l,p[0],p[1],d,s,i);else if(h===4)IQ(l,p[0],p[1],p[2],d,s,i);else{let f=Fc(l,s,i,t.shape,t.dtype);d.set(f)}return u}function kQ(e,t,a,n,r){let s=0,i=n[0],o=n[1],l=i+r[0];for(let u=i;uy*x),l=T.getReshaped(r.shape,s,o),u=T.getPermuted(l.length,s.length),p=T.getReshapedPermuted(r.shape,s,o),c=T.getSliceBeginCoords(i,s.length),d=T.getSliceSize(p,i,s.length),h=Wa({inputs:{x:r},backend:a,attrs:{shape:l}}),f=Qr({inputs:{x:h},backend:a,attrs:{perm:u}}),m=Wa({inputs:{x:f},backend:a,attrs:{shape:p}}),g=qs({inputs:{x:m},backend:a,attrs:{begin:c,size:d}});return a.disposeData(h.dataId),a.disposeData(f.dataId),a.disposeData(h.dataId),g}var CQ={kernelName:El,backendName:"wasm",kernelFunc:TQ};function yu(e){let{inputs:{x:t},attrs:{dtype:a},backend:n}=e,r=n.makeOutput(t.shape,a),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(r).set(s),r}var NQ={kernelName:ti,backendName:"wasm",kernelFunc:yu},EQ=Bt(ai),Nv;function RQ(e){Nv=e.wasm.cwrap(as,null,["number","number","number","number"])}function MQ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=n,o=a.dataIdMap.get(r.dataId).id,l=a.makeOutput(r.shape,r.dtype),u=a.dataIdMap.get(l.dataId).id;return Nv(o,s,i,u),l}var $Q={kernelName:as,backendName:"wasm",setupFunc:RQ,kernelFunc:MQ};function Ev(e){let{inputs:t,backend:a}=e,n=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);T.assertParamsConsistent(r,n);let s=T.computeOutShape(t.map(h=>h.shape),n),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return Ph({inputs:{x:i[0]},backend:a});let o=a.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(A=>{let b=[-1,v.sizeFromShape(A.shape.slice(n))];return Wa({inputs:{x:A},backend:a,attrs:{shape:b}})}),f=h.map(A=>({vals:a.readSync(A.dataId),shape:A.shape}));s=T.computeOutShape(h.map(A=>A.shape),1);let m=h[0].shape[0]===1,g=l3(f,s,t[0].dtype,m),y=T.computeOutShape(i.map(A=>A.shape),n);o.shape=y;let x=a.dataIdMap.get(o.dataId);return x.stringBytes=T.fromStringArrayToUint8(g),h.forEach(A=>a.disposeData(A.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,n)),u=0,p=i.map(h=>{let f=v.sizeFromShape(h.shape.slice(n));return u+=f,f}),c=i.map(h=>a.typedArrayFromHeap(h)),d=a.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=T.getAxesPermutation([s],l),p=r;u!==null&&(p=Qr({inputs:{x:r},attrs:{perm:u},backend:a}));let c=T.getInnerMostAxes(1,l)[0];T.assertAxesAreInnerMostDims("cumprod",[c],l);let d=a.makeOutput(p.shape,p.dtype),h=p.shape[c],f=a.dataIdMap.get(p.dataId).id,m=a.dataIdMap.get(d.dataId).id;_v(f,i?1:0,o?1:0,h,m,Ct[r.dtype]);let g=d;if(u!==null){let y=T.getUndoAxesPermutation(u);g=Qr({inputs:{x:d},attrs:{perm:y},backend:a}),a.disposeData(p.dataId),a.disposeData(d.dataId)}return g}var qQ={kernelName:oi,backendName:"wasm",setupFunc:HQ,kernelFunc:jQ},Pv;function XQ(e){Pv=e.wasm.cwrap(li,null,["number","number","number","number","number","number"])}function KQ(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=T.getAxesPermutation([s],l),p=r;u!==null&&(p=Qr({inputs:{x:r},attrs:{perm:u},backend:a}));let c=T.getInnerMostAxes(1,l)[0];T.assertAxesAreInnerMostDims("cumsum",[c],l);let d=a.makeOutput(p.shape,p.dtype),h=p.shape[c],f=a.dataIdMap.get(p.dataId).id,m=a.dataIdMap.get(d.dataId).id;Pv(f,i?1:0,o?1:0,h,m,Ct[r.dtype]);let g=d;if(u!==null){let y=T.getUndoAxesPermutation(u);g=Qr({inputs:{x:d},attrs:{perm:y},backend:a}),a.disposeData(p.dataId),a.disposeData(d.dataId)}return g}var ZQ={kernelName:li,backendName:"wasm",setupFunc:XQ,kernelFunc:KQ},Fv;function YQ(e){Fv=e.wasm.cwrap(di,null,["number","number","number","array","number","array","array","number","number"])}function JQ(e){let{backend:t,inputs:a,attrs:n}=e,{x:r}=a,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=t.makeOutput(f,"float32"),g=t.dataIdMap.get(r.dataId).id,y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),x=new Uint8Array(new Int32Array(f).buffer),A=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer),b=t.dataIdMap.get(m.dataId).id;return Fv(g,s,i==="NHWC"?1:0,y,r.shape.length-1,x,A,f.length,b),m}var QQ={kernelName:di,backendName:"wasm",setupFunc:YQ,kernelFunc:JQ},Ov;function eee(e){Ov=e.wasm.cwrap(pi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function tee(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s}=t,i=n.dataIdMap.get(r.dataId).id,o=n.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:c}=a,d=u==null?[1,1]:u,h=T.computeConv2DInfo(r.shape,s.shape,l,d,p,c,!0),f=h.filterHeight,m=h.filterWidth,g=h.padInfo.top,y=h.padInfo.right,x=h.padInfo.bottom,A=h.padInfo.left,b=h.dilationHeight,k=h.dilationWidth,S=h.strideHeight,C=h.strideWidth,N=h.inChannels,$=h.outChannels,M=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let R=n.makeOutput(h.outShape,"float32"),I=n.dataIdMap.get(R.dataId).id;return Ov(i,r.shape[0],r.shape[1],r.shape[2],o,f,m,g,y,x,A,M,b,k,S,C,N,$,I),R}var aee={kernelName:pi,backendName:"wasm",setupFunc:eee,kernelFunc:tee},nee=Bt(hi),ree=!1,see=ca(fi,ree,"bool"),iee=Bt(mi,"float32");function T2(e){let{inputs:t,attrs:a,backend:n}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Wa({inputs:{x:r},backend:n,attrs:{shape:o}})}var oee={kernelName:$l,backendName:"wasm",kernelFunc:T2};function Dv(e){let{attrs:{shape:t,value:a,dtype:n},backend:r}=e,s=r.makeOutput(t,n);return r.typedArrayFromHeap(s).fill(a),s}var lee={kernelName:Pl,backendName:"wasm",kernelFunc:Dv},zv;function uee(e){zv=e.wasm.cwrap(gi,null,["number","number","number","number","number","number"])}function dee(e){let{inputs:t,backend:a}=e,{image:n}=t,r=a.makeOutput(n.shape,n.dtype),s=a.dataIdMap.get(n.dataId).id,i=a.dataIdMap.get(r.dataId).id,[o,l,u,p]=n.shape;return zv(s,o,l,u,p,i),r}var pee={kernelName:gi,backendName:"wasm",kernelFunc:dee,setupFunc:uee},cee=Bt(yi),hee=!1,fee=ca(xi,hee),Lv;function mee(e){Lv=e.wasm.cwrap(Ai,null,["number","number","number","number","number","number","number"])}function gee(e){let{backend:t,inputs:a,attrs:n}=e,{varianceEpsilon:r}=n,{x:s,mean:i,variance:o,offset:l,scale:u}=a,p=t.dataIdMap.get(s.dataId).id,c=t.dataIdMap.get(i.dataId).id,d=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,f=u!=null?t.dataIdMap.get(u.dataId).id:0,m=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return m;let g=t.dataIdMap.get(m.dataId).id;return Lv(p,c,d,h,f,r,g),m}var yee={kernelName:Ai,backendName:"wasm",setupFunc:mee,kernelFunc:gee},Bv;function xee(e){Bv=e.wasm.cwrap(jr,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Aee(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=a,m=T.computeConv2DInfo(r.shape,s.shape,l,p,u,d),g=bd[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let y=n.dataIdMap.get(r.dataId).id,x=n.dataIdMap.get(s.dataId).id,A=m.outChannels,b=0;if(i!=null){let X=n.dataIdMap.get(i.dataId);if(X.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${X.shape.length}.`);if(X.shape[0]!==A)throw new Error(`FusedConv2D bias shape (${X.shape}) does not match the number of output channels (${A})`);b=X.id}let k=m.filterHeight,S=m.filterWidth,C=m.padInfo.top,N=m.padInfo.right,$=m.padInfo.bottom,M=m.padInfo.left,R=m.dilationHeight,I=m.dilationWidth,_=m.strideHeight,D=m.strideWidth,W=m.inChannels,P=m.padInfo.type==="SAME"?1:0,U=m.batchSize,G=m.inHeight,q=m.inWidth;if(c!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${c}'. Please use 'NHWC'.`);let H=n.makeOutput(m.outShape,"float32"),B=n.dataIdMap.get(H.dataId).id,Z=o==null?0:n.dataIdMap.get(o.dataId).id;return Bv(y,U,G,q,x,k,S,b,C,N,$,M,P,R,I,_,D,W,A,g,Z,f||0,B),H}var bee={kernelName:jr,backendName:"wasm",setupFunc:xee,kernelFunc:Aee},Wv;function vee(e){Wv=e.wasm.cwrap(qr,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function kee(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=a,m=T.computeConv2DInfo(r.shape,s.shape,l,p,u,d,!0),g=bd[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let y=n.dataIdMap.get(r.dataId).id,x=n.dataIdMap.get(s.dataId).id,A=m.outChannels,b=0;if(i!=null){let X=n.dataIdMap.get(i.dataId);if(X.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${X.shape.length}.`);if(X.shape[0]!==A)throw new Error(`FusedDepthwiseConv2D bias shape (${X.shape}) does not match the number of output channels (${A})`);b=X.id}let k=m.filterHeight,S=m.filterWidth,C=m.padInfo.top,N=m.padInfo.right,$=m.padInfo.bottom,M=m.padInfo.left,R=m.dilationHeight,I=m.dilationWidth,_=m.strideHeight,D=m.strideWidth,W=m.inChannels,P=m.padInfo.type==="SAME"?1:0,U=m.batchSize,G=m.inHeight,q=m.inWidth;if(c!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${c}'. Please use 'NHWC'.`);let H=n.makeOutput(m.outShape,"float32"),B=n.dataIdMap.get(H.dataId).id,Z=o==null?0:n.dataIdMap.get(o.dataId).id;return Wv(y,U,G,q,x,k,S,b,C,N,$,M,P,R,I,_,D,W,A,g,Z,f||0,B),H}var wee={kernelName:qr,backendName:"wasm",setupFunc:vee,kernelFunc:kee},Vv;function Iee(e){Vv=e.wasm.cwrap(bi,null,["number","number","number","number","number","number","array","number"])}function See(e){let{backend:t,inputs:a}=e,{params:n,indices:r}=a,[s,i,o,l]=e3.prepareAndValidate(n,r),u=t.makeOutput(s,n.dtype);if(i===0)return u;let p=r.shape,c=p[p.length-1],d=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(r.dataId).id,f=new Uint8Array(new Int32Array(l).buffer),m=t.dataIdMap.get(u.dataId).id;return Vv(d,Ct[n.dtype],h,i,c,o,f,m),u}var Tee={kernelName:bi,backendName:"wasm",setupFunc:Iee,kernelFunc:See},Uv;function Cee(e){Uv=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function Nee(e){let{backend:t,inputs:a,attrs:n}=e,{x:r,indices:s}=a,{axis:i,batchDims:o}=n,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let C=0;C=0,()=>`GatherV2: the index value ${N} is not in [0, ${p-1}]`)}let c=T.segment_util.collectGatherOpShapeInfo(r,s,l,o),d=Wa({inputs:{x:r},attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),f=Wa({inputs:{x:s},attrs:{shape:[c.batchSize,h/c.batchSize]},backend:t}),m=[c.batchSize,c.outerSize,h/c.batchSize,c.sliceSize],g=t.makeOutput(m,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let y=d.shape.length-1,x=t.dataIdMap.get(d.dataId).id,A=t.dataIdMap.get(f.dataId).id,b=t.dataIdMap.get(g.dataId).id,k=new Uint8Array(new Int32Array(v.computeStrides(d.shape)).buffer),S=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer);return Uv(x,Ct[r.dtype],k,y,A,c.batchSize,S,b),t.disposeData(d.dataId),t.disposeData(f.dataId),g.shape=c.outputShape,g}var Eee={kernelName:Fl,backendName:"wasm",setupFunc:Cee,kernelFunc:Nee},Ree=!1,Mee=ca(vi,Ree,"bool"),$ee=!1,_ee=ca(ki,$ee,"bool"),Pee=Bt(Ii,"bool"),Gv;function Fee(e){Gv=e.wasm.cwrap(Si,null,["number","number","number","number"])}function Oee(e){let{inputs:{x:t},attrs:{alpha:a},backend:n}=e,r=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;Gv(r,Ct[t.dtype],a,i)}return s}var Dee={kernelName:Si,backendName:"wasm",setupFunc:Fee,kernelFunc:Oee},zee=!1,Lee=ca(Ti,zee,"bool"),Bee=!1,Wee=ca(Ci,Bee,"bool"),Vee=Bt(Ni),Uee=!1,Gee=ca(Ei,Uee,"bool"),Hee=Bt(Ri),jee=!1,qee=ca(Mi,jee,"bool"),Xee=!1,Kee=ca(fx,Xee,"bool"),Hv;function Zee(e){Hv=e.wasm.cwrap($i,null,["number","number","number","number"])}function Yee(e){let{backend:t,inputs:a,attrs:n}=e,{reductionIndices:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:c,inputWasTransposed:d}=us(i,r,t);if(d){let x=t.dataIdMap.get(u.dataId).id;l=u,o=x}let h=l.shape.length;T.assertAxesAreInnerMostDims("max",p,h);let[f,m]=T.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(m),y=t.makeOutput(f,i.dtype);if(v.sizeFromShape(l.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;Hv(o,Ct[i.dtype],g,x)}if(d&&t.disposeData(u.dataId),s){let x=T.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var Jee={kernelName:$i,backendName:"wasm",setupFunc:Zee,kernelFunc:Yee},Qee=!1,ete=ca(_i,Qee),jv;function tte(e){jv=e.wasm.cwrap(Pi,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function ate(e){let{inputs:t,attrs:a,backend:n}=e,r=t.x,s=n.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a,p=T.computePool2DInfo(r.shape,i,o,1,l,u),c=p.filterHeight,d=p.filterWidth,h=p.padInfo.top,f=p.padInfo.right,m=p.padInfo.bottom,g=p.padInfo.left,y=p.dilationHeight,x=p.dilationWidth,A=p.strideHeight,b=p.strideWidth,k=p.inChannels,S=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let C=n.makeOutput(p.outShape,"float32"),N=n.dataIdMap.get(C.dataId).id;return jv(s,r.shape[0],r.shape[1],r.shape[2],c,d,h,f,m,g,y,x,A,b,k,S,N),C}var nte={kernelName:Pi,backendName:"wasm",setupFunc:tte,kernelFunc:ate},qv;function rte(e){qv=e.wasm.cwrap(Fi,null,["number, number, number"])}function ste(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=us(i,r,t),f=c;if(h){let b=t.dataIdMap.get(p.dataId).id;b!==o&&(u=p,l=b,f=T.getInnerMostAxes(f.length,u.shape.length))}T.assertAxesAreInnerMostDims("mean",f,u.shape.length);let[m,g]=T.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=u;u.dtype!=="float32"&&(x=yu({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(x.dataId).id);let A=t.makeOutput(m,"float32");if(v.sizeFromShape(u.shape)!==0){let b=t.dataIdMap.get(A.dataId).id;qv(l,y,b)}if(h&&t.disposeData(p.dataId),s){let b=T.expandShapeToKeepDim(A.shape,d);A.shape=b}return u.dtype!=="float32"&&t.disposeData(x.dataId),A}var ite={kernelName:Fi,backendName:"wasm",setupFunc:rte,kernelFunc:ste},Xv;function ote(e){Xv=e.wasm.cwrap(Oi,null,["number","number","number","number"])}function lte(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=us(i,r,t);if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A)}let f=u.shape.length;T.assertAxesAreInnerMostDims("min",c,f);let[m,g]=T.computeOutAndReduceShapes(u.shape,c),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;Xv(l,Ct[i.dtype],y,A)}if(h&&t.disposeData(p.dataId),s){let A=T.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var ute={kernelName:Oi,backendName:"wasm",setupFunc:ote,kernelFunc:lte},dte=!1,pte=ca(Di,dte),C2;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(C2||(C2={}));var Kv;function cte(e){Kv=e.wasm.cwrap(zi,null,["number","array","number","number","array","array","number","number"])}function hte(e){let{inputs:{x:t},backend:a,attrs:{paddings:n,mode:r}}=e,s=n.map((f,m)=>f[0]+t.shape[m]+f[1]),i=a.dataIdMap.get(t.dataId).id,o=a.makeOutput(s,t.dtype),l=a.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(f=>f[0]),c=n.map(f=>f[1]),d=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(c).buffer);return Kv(i,u,t.shape.length,Ct[t.dtype],d,h,C2[r],l),o}var fte={kernelName:zi,backendName:"wasm",kernelFunc:hte,setupFunc:cte},mte=!0,gte=ca(Li,mte),yte=Bt(Bl);function P3(e,t){let a=new Int32Array(e.wasm.HEAPU8.buffer,t,4),n=a[0],r=a[1],s=a[2],i=a[3];return e.wasm._free(t),{pSelectedIndices:n,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var Zv;function xte(e){Zv=e.wasm.cwrap(Wi,"number",["number","number","number","number","number"])}function Ate(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=n,{boxes:o,scores:l}=a,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,c=Zv(u,p,s,r,i),{pSelectedIndices:d,selectedSize:h,pSelectedScores:f,pValidOutputs:m}=P3(t,c);return t.wasm._free(f),t.wasm._free(m),t.makeOutput([h],"int32",d)}var bte={kernelName:Wi,backendName:"wasm",setupFunc:xte,kernelFunc:Ate},Yv;function vte(e){Yv=e.wasm.cwrap(Wl,"number",["number","number","number","number","number","bool"])}function kte(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=n,{boxes:l,scores:u}=a,p=t.dataIdMap.get(l.dataId).id,c=t.dataIdMap.get(u.dataId).id,d=Yv(p,c,s,r,i,o),{pSelectedIndices:h,selectedSize:f,pSelectedScores:m,pValidOutputs:g}=P3(t,d);t.wasm._free(m);let y=t.makeOutput([f],"int32",h),x=t.makeOutput([],"int32",g);return[y,x]}var wte={kernelName:Wl,backendName:"wasm",setupFunc:vte,kernelFunc:kte},Jv;function Ite(e){Jv=e.wasm.cwrap(Vi,"number",["number","number","number","number","number","number"])}function Ste(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=n,{boxes:l,scores:u}=a,p=t.dataIdMap.get(l.dataId).id,c=t.dataIdMap.get(u.dataId).id,d=Jv(p,c,s,r,i,o),{pSelectedIndices:h,selectedSize:f,pSelectedScores:m,pValidOutputs:g}=P3(t,d);t.wasm._free(g);let y=t.makeOutput([f],"int32",h),x=t.makeOutput([f],"float32",m);return[y,x]}var Tte={kernelName:Vi,backendName:"wasm",setupFunc:Ite,kernelFunc:Ste},Cte=!1,Nte=ca(Bi,Cte,"bool"),Qv;function Ete(e){Qv=e.wasm.cwrap(Ui,null,["number","number","number","number","number"])}function Rte(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=a.makeOutput([...r.shape,i],s),p=a.dataIdMap.get(u.dataId).id,c=a.dataIdMap.get(r.dataId).id;return Qv(c,i,o,l,p),u}var Mte={kernelName:Ui,backendName:"wasm",setupFunc:Ete,kernelFunc:Rte};function $te(e){let{inputs:{x:t},backend:a}=e,n=a.makeOutput(t.shape,t.dtype);return a.typedArrayFromHeap(n).fill(1),n}var _te={kernelName:Vl,backendName:"wasm",kernelFunc:$te};function Pte(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return T2({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=T2({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=Ev({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeData(p.dataId)),u}var Fte={kernelName:Ul,backendName:"wasm",kernelFunc:Pte},e8;function Ote(e){e8=e.wasm.cwrap(Gi,null,["number","array","number","number","array","array","number","number"])}function Dte(e){let{inputs:{x:t},backend:a,attrs:{paddings:n,constantValue:r}}=e,s=n.map((f,m)=>f[0]+t.shape[m]+f[1]);if(v.sizeFromShape(t.shape)===0)return Dv({backend:a,attrs:{shape:s,value:r,dtype:t.dtype}});let i=a.dataIdMap.get(t.dataId).id,o=a.makeOutput(s,t.dtype),l=a.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(f=>f[0]),c=n.map(f=>f[1]),d=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(c).buffer);return e8(i,u,t.shape.length,Ct[t.dtype],d,h,r,l),o}var t8={kernelName:Gi,backendName:"wasm",kernelFunc:Dte,setupFunc:Ote},zte=!1,Lte=ca(Hi,zte),a8;function Bte(e){a8=e.wasm.cwrap(ji,null,["number","number","number"])}function Wte(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=a.dataIdMap.get(n.dataId).id,i=a.dataIdMap.get(r.dataId).id,o=s,l=n,u=l;l.dtype!=="float32"&&(u=yu({backend:a,inputs:{x:n},attrs:{dtype:"float32"}}),o=a.dataIdMap.get(u.dataId).id);let p=a.makeOutput(n.shape,"float32"),c=a.dataIdMap.get(p.dataId).id;return a8(o,i,c),l.dtype!=="float32"&&a.disposeData(u.dataId),p}var Vte={kernelName:ji,backendName:"wasm",setupFunc:Bte,kernelFunc:Wte},n8;function Ute(e){n8=e.wasm.cwrap(qi,null,["number","number","number","number"])}function Gte(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=us(i,r,t),f=c;if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A,f=T.getInnerMostAxes(f.length,u.shape.length))}T.assertAxesAreInnerMostDims("prod",f,u.shape.length);let[m,g]=T.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;n8(l,y,Ct[x.dtype],A)}if(h&&t.disposeData(p.dataId),s){let A=T.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var Hte={kernelName:qi,backendName:"wasm",setupFunc:Ute,kernelFunc:Gte},jte=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=p3(n,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},qte={kernelName:Gl,backendName:"wasm",kernelFunc:jte},Xte=!0,Kte=ca(ci,Xte),Zte=Bt(Xi),Yte=Bt(Ki),Jte=Bt(Ji),r8;function Qte(e){r8=e.wasm.cwrap(Yi,null,["number","number","number","number","number","number","number","number","number","number"])}function eae(e){let{backend:t,inputs:a,attrs:n}=e,{images:r}=a,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,[p,c,d,h]=r.shape,f=[p,l,u,h],m=t.dataIdMap.get(r.dataId),g;m.dtype!=="float32"&&(g=yu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),m=t.dataIdMap.get(g.dataId));let y=m.id,x=t.makeOutput(f,"float32");if(v.sizeFromShape(r.shape)===0)return x;let A=t.dataIdMap.get(x.dataId).id;return r8(y,p,c,d,h,l,u,s?1:0,i?1:0,A),g!=null&&t.disposeData(g.dataId),x}var tae={kernelName:Yi,backendName:"wasm",setupFunc:Qte,kernelFunc:eae},s8;function aae(e){s8=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number","number","number","number"])}function nae(e){let{backend:t,inputs:a,attrs:n}=e,{images:r}=a,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,[p,c,d,h]=r.shape,f=[p,l,u,h],m=t.makeOutput(f,"float32");if(v.sizeFromShape(r.shape)===0)return m;let g=t.dataIdMap.get(r.dataId),y;g.dtype!=="float32"&&(y=yu({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(y.dataId));let x=g.id,A=t.dataIdMap.get(m.dataId).id;return s8(x,p,c,d,h,l,u,s?1:0,i?1:0,A),y!=null&&t.disposeData(y.dataId),m}var rae={kernelName:Zi,backendName:"wasm",setupFunc:aae,kernelFunc:nae},i8;function sae(e){i8=e.wasm.cwrap(Qi,null,["number","array","number","array","number","number"])}function iae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return Ph({inputs:{x:r},backend:a});let o=a.makeOutput(r.shape,r.dtype),l=a.dataIdMap.get(r.dataId).id,u=a.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),c=new Uint8Array(new Int32Array(r.shape).buffer);i8(l,p,i.length,c,r.shape.length,u);let d=Wa({inputs:{x:o},attrs:{shape:r.shape},backend:a});return a.disposeData(o.dataId),d}var oae={kernelName:Qi,backendName:"wasm",kernelFunc:iae,setupFunc:sae},o8;function lae(e){o8=e.wasm.cwrap(go,null,["number","number","number","number","number","number","number","number","array","number","number"])}function uae(e){let{inputs:t,backend:a,attrs:n}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=n,l=a.makeOutput(r.shape,r.dtype),u=a.dataIdMap.get(r.dataId).id,p=a.dataIdMap.get(l.dataId).id,[c,d,h,f]=r.shape,[m,g]=T.getImageCenter(o,d,h),y=i===0,x=255,A=typeof i=="number"?[i,i,i,y?0:x]:[...i,x],b=new Uint8Array(new Int32Array(A).buffer);return o8(u,c,d,h,f,s,m,g,b,A.length,p),l}var dae={kernelName:go,backendName:"wasm",kernelFunc:uae,setupFunc:lae},pae=Bt(eo),cae=Bt(to),l8;function hae(e){l8=e.wasm.cwrap(ao,null,["number","number","number","number","number","number","array","number","number"])}function fae(e){let{backend:t,inputs:a,attrs:n}=e,{indices:r,updates:s}=a,{shape:i}=n,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=B1.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,f=t.dataIdMap.get(s.dataId).id,m=new Uint8Array(new Int32Array(c).buffer),g=t.dataIdMap.get(o.dataId).id;return l8(h,f,Ct[s.dtype],l,u,p,m,d,g),o}var mae={kernelName:ao,backendName:"wasm",setupFunc:hae,kernelFunc:fae},u8;function gae(e){u8=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function yae(e){let{inputs:t,backend:a}=e,{condition:n,t:r,e:s}=t,i=a.dataIdMap.get(n.dataId).id,o=a.dataIdMap.get(r.dataId).id,l=a.dataIdMap.get(s.dataId).id,u=a.makeOutput(r.shape,r.dtype),p=a.dataIdMap.get(u.dataId).id,c=n.shape.length,d=r.shape.length,h=c===0||c>1||d===1?1:v.sizeFromShape(r.shape.slice(1));return u8(i,o,l,h,p),u}var xae={kernelName:jl,backendName:"wasm",kernelFunc:yae,setupFunc:gae},d8;function Aae(e){d8=e.wasm.cwrap(ro,null,["number","number"])}function bae(e){let{backend:t,inputs:{x:a}}=e,n=t.dataIdMap.get(a.dataId).id,r=t.makeOutput(a.shape,a.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||d8(n,s),r}var vae={kernelName:"Sigmoid",backendName:"wasm",setupFunc:Aae,kernelFunc:bae},kae=Bt(no),p8;function wae(e){p8=e.wasm.cwrap(oo,null,["number","number","number","number"])}function Iae(e){let{backend:t,inputs:{logits:a},attrs:{dim:n}}=e,r=t.dataIdMap.get(a.dataId).id,s=t.makeOutput(a.shape,a.dtype),i=t.dataIdMap.get(s.dataId).id,o=a.shape[n],l=v.sizeFromShape(a.shape)/o;return v.sizeFromShape(s.shape)===0||p8(r,i,o,l),s}var Sae={kernelName:oo,backendName:"wasm",setupFunc:wae,kernelFunc:Iae};function Tae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g{let M=b.shape[0],F=b.shape[1],E=S.segment_util.segOpComputeOptimalWindowSize(F,N),I={windowSize:E,inSize:F,batchSize:M,numSegments:N},_=new _ee(I,w),O=a.compileAndRun(_,[b,C],T);if(l.push(O),O.shape[1]===N)return O;let B=y8({backend:a,attrs:{start:0,stop:N,step:1,dtype:"float32"}}),$=x8({inputs:{x:B},backend:a,attrs:{reps:[F/E]}});return l.push(B),l.push($),g(O,w,$,T,N)},y=g(f,"unsortedSegmentSum",s,m,i),x=ue({inputs:{x:y},backend:a,attrs:{shape:d}}),A=x;if(p!=null){l.push(x);let b=S.getUndoAxesPermutation(p);A=Ta({inputs:{x:A},backend:a,attrs:{perm:b}})}return l.forEach(b=>a.disposeIntermediateTensorInfo(b)),A}var Dee={kernelName:vp,backendName:"webgl",kernelFunc:$ee},Pee=[kj,Sj,Nj,Mj,_j,Pj,zj,Wj,Gj,jj,Kj,Jj,tq,sq,lq,dq,cq,gq,xq,bq,Iq,Mq,_q,Dq,Bq,Uq,qq,ij,Yq,tX,sX,pX,fX,gX,xX,bX,IX,TX,EX,FX,$X,PX,LX,BX,HX,qX,YX,QX,tK,sK,uK,hK,gK,AK,bK,wK,IK,CK,NK,EK,$K,OK,WK,VK,HK,XK,JK,aY,sj,rY,Qq,oY,dY,hY,lj,yY,vY,kY,TY,EY,$Y,OY,BY,HY,XY,YY,eZ,aZ,rZ,lZ,dZ,cZ,fZ,gZ,bZ,IZ,NZ,PZ,pj,WZ,UZ,jZ,KZ,Oq,JZ,eJ,aJ,sJ,uJ,dj,pJ,hJ,mJ,yJ,xJ,zq,FZ,vJ,SJ,RJ,hj,_J,PJ,WJ,UJ,qJ,KJ,JJ,tQ,rQ,oQ,dQ,hQ,yQ,bQ,IQ,TQ,Rq,$Z,EQ,FQ,$Q,PQ,zQ,WQ,VQ,GQ,jQ,KQ,ZQ,QQ,tee,ree,iee,lee,dee,_Z,bj,hee,gee,xee,vee,See,Nee,vj,Eee,Fee,Dee,QZ];for(let e of Pee)yn(e);var nt;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(nt||(nt={}));var Xd;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(Xd||(Xd={}));var A8;function Oee(e){A8=e.wasm.cwrap(Xr,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function zee(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n,d=a.dataIdMap.get(r.dataId).id,h=a.dataIdMap.get(s.dataId).id,f=0;if(i!=null){let N=a.dataIdMap.get(i.dataId);if(N.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${N.shape.length}.`);f=N.id}let m=o==null?0:a.dataIdMap.get(o.dataId).id,g=Xd[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],x=u?s.shape[1]:s.shape[2],A=Ho.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),b=a.makeOutput([...A,y,x],r.dtype),w=a.dataIdMap.get(b.dataId).id,C=new Uint8Array(new Int32Array(r.shape).buffer),T=new Uint8Array(new Int32Array(s.shape).buffer);return A8(d,C,r.shape.length,h,T,s.shape.length,l,u,g,f,m,c||0,w),b}var Lee={kernelName:Xr,backendName:"wasm",setupFunc:Oee,kernelFunc:zee};function at(e,t){let a;function n(s){a=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||a(l,nt[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:r}}var Wee=at(Zl),Bee=at(Qs),Vee=at(ei);function ea(e,t,a){let n;function r(i){n=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,c=o.dataIdMap.get(u.dataId).id,d=o.dataIdMap.get(p.dataId).id,h=a!=null?a:u.dtype,f=S.assertAndGetBroadcastShape(u.shape,p.shape),m=o.makeOutput(f,h);if(v.sizeFromShape(f)===0)return m;let g=new Uint8Array(new Int32Array(u.shape).buffer),y=new Uint8Array(new Int32Array(p.shape).buffer),x=o.dataIdMap.get(m.dataId).id;return n(c,g,u.shape.length,d,y,p.shape.length,nt[u.dtype],x),m}return{kernelName:e,backendName:"wasm",setupFunc:r,kernelFunc:s}}var Uee=!0,Gee=ea(ns,Uee),b8;function Hee(e){b8=e.wasm.cwrap(ti,null,["array","number","number","number"])}function jee(e){let{inputs:t,backend:a}=e,n=a.makeOutput(t[0].shape,t[0].dtype);if(v.sizeFromShape(n.shape)===0)return n;let r=t.map(o=>a.dataIdMap.get(o.dataId).id),s=new Uint8Array(new Int32Array(r).buffer),i=a.dataIdMap.get(n.dataId).id;return b8(s,r.length,nt[n.dtype],i),n}var qee={kernelName:ti,backendName:"wasm",setupFunc:Hee,kernelFunc:jee};function a0(e){let{inputs:{x:t},backend:a}=e;if(t.dtype==="string")return Ve(a.readSync(t.dataId),t.shape,t.dtype);let n=a.makeOutput(t.shape,t.dtype),r=a.typedArrayFromHeap(t);return a.typedArrayFromHeap(n).set(r),n}var Xee={kernelName:zi,backendName:"wasm",kernelFunc:a0},v8;function Kee(e){v8=e.wasm.cwrap(wr,null,["number","array","number","number","number","array","number"])}function as(e){let{inputs:t,backend:a,attrs:n}=e,[r,s]=Zee(t.x.shape,n.perm),i=!0;for(let f=0;f=r&&(s===-1||n[s]>n[i])&&(s=i);n[s]=r}return[a,n]}var Jee={kernelName:wr,backendName:"wasm",kernelFunc:as,setupFunc:Kee};function ps(e,t,a){let n=e.shape,r=e.shape.length,s=v.parseAxisParam(t,n),i=s,o=S.getAxesPermutation(i,r),l=null,u=!1;if(o!=null){let p=new Array(r);for(let d=0;d`new shape: ${i}, old shape: ${n.shape}. New shape and old shape must have the same number of elements.`),e.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var vte={kernelName:bu,backendName:"wasm",kernelFunc:Ba},N8;function wte(e){N8=e.wasm.cwrap(di,null,["number","array","number","number","array","number","number","number","number"])}function kte(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let l=r.shape.length,u=s.shape.length,p=i?r.shape[l-2]:r.shape[l-1],c=o?s.shape[u-1]:s.shape[u-2],d=i?r.shape[l-1]:r.shape[l-2],h=o?s.shape[u-2]:s.shape[u-1],f=r.shape.slice(0,-2),m=s.shape.slice(0,-2),g=v.sizeFromShape(f),y=v.sizeFromShape(m),x=Ho.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)).concat([d,h]);v.assert(p===c,()=>`Error in matMul: inner shapes (${p}) and (${c}) of Tensors with shapes ${r.shape} and ${s.shape} and transposeA=${i} and transposeB=${o} must match.`);let A=i?[g,p,d]:[g,d,p],b=o?[y,h,c]:[y,c,h],w=Ba({inputs:{x:r},backend:a,attrs:{shape:A}}),C=Ba({inputs:{x:s},backend:a,attrs:{shape:b}}),T=a.dataIdMap.get(w.dataId).id,N=a.dataIdMap.get(C.dataId).id,M=i?w.shape[2]:w.shape[1],F=o?C.shape[1]:C.shape[2],E=Math.max(g,y),I=a.makeOutput([E,M,F],w.dtype),_=a.dataIdMap.get(I.dataId).id,O=new Uint8Array(new Int32Array(w.shape).buffer),B=new Uint8Array(new Int32Array(C.shape).buffer);return N8(T,O,w.shape.length,N,B,C.shape.length,i,o,_),a.disposeData(w.dataId),a.disposeData(C.dataId),I.shape=x,I}var Ite={kernelName:di,backendName:"wasm",setupFunc:wte,kernelFunc:kte};function Zs(e){let{inputs:{x:t},attrs:{begin:a,size:n},backend:r}=e,[s,i]=Nt.parseSliceParams(t,a,n),o=Nt.isSliceContinous(t.shape,s,i),l=r.readSync(t.dataId),u=r.makeOutput(i,t.dtype),p=v.computeStrides(t.shape),c=r.dataIdMap.get(u.dataId);if(o){let f=Nt.computeFlatOffset(s,p);return t.dtype==="string"?c.stringBytes=l.slice(f,f+v.sizeFromShape(i)):r.typedArrayFromHeap(u).set(l.subarray(f,f+v.sizeFromShape(i))),u}if(t.dtype==="string"){let f=dh(l,s,i,t.shape,t.dtype);return c.stringBytes=f,u}let d=r.typedArrayFromHeap(u),h=t.shape.length;if(h===2)Ste(l,p[0],d,s,i);else if(h===3)Cte(l,p[0],p[1],d,s,i);else if(h===4)Tte(l,p[0],p[1],p[2],d,s,i);else{let f=dh(l,s,i,t.shape,t.dtype);d.set(f)}return u}function Ste(e,t,a,n,r){let s=0,i=n[0],o=n[1],l=i+r[0];for(let u=i;uy*x),l=S.getReshaped(r.shape,s,o),u=S.getPermuted(l.length,s.length),p=S.getReshapedPermuted(r.shape,s,o),c=S.getSliceBeginCoords(i,s.length),d=S.getSliceSize(p,i,s.length),h=Ba({inputs:{x:r},backend:a,attrs:{shape:l}}),f=as({inputs:{x:h},backend:a,attrs:{perm:u}}),m=Ba({inputs:{x:f},backend:a,attrs:{shape:p}}),g=Zs({inputs:{x:m},backend:a,attrs:{begin:c,size:d}});return a.disposeData(h.dataId),a.disposeData(f.dataId),a.disposeData(h.dataId),g}var Ete={kernelName:tu,backendName:"wasm",kernelFunc:Rte},R8;function Mte(e){R8=e.wasm.cwrap(pi,null,["number","number","boolean","number","number","number"])}function Fte(e){let{backend:t,inputs:a,attrs:n}=e,{x:r,weights:s}=a,{size:i}=n,o=s.shape.reduce((c,d)=>c*d,1)!==0,l=r.shape.length===1?[i]:[r.shape[0],i],u=t.makeOutput(l,s.dtype);function p(c){return t.dataIdMap.get(c.dataId).id}return R8(p(r),i,o,p(s),nt[s.dtype],p(u)),u}var _te={kernelName:pi,backendName:"wasm",setupFunc:Mte,kernelFunc:Fte};function $te(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t,s=a.typedArrayFromHeap(n),i=a.typedArrayFromHeap(r),o=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return a.makeOutput([o.length],"int32",void 0,new Int32Array(o))}var Dte={kernelName:au,backendName:"wasm",kernelFunc:$te};function cs(e){let{inputs:{x:t},attrs:{dtype:a},backend:n}=e,r=n.makeOutput(t.shape,a),s=n.typedArrayFromHeap(t);return n.typedArrayFromHeap(r).set(s),r}var Pte={kernelName:ci,backendName:"wasm",kernelFunc:cs},Ote=at(hi),E8;function zte(e){E8=e.wasm.cwrap(rs,null,["number","number","number","number"])}function Lte(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=n,o=a.dataIdMap.get(r.dataId).id,l=a.makeOutput(r.shape,r.dtype),u=a.dataIdMap.get(l.dataId).id;return E8(o,s,i,u),l}var Wte={kernelName:rs,backendName:"wasm",setupFunc:zte,kernelFunc:Lte};function M8(e){let{inputs:t,backend:a}=e,n=v.parseAxisParam(e.attrs.axis,t[0].shape)[0],r=t.map(h=>h.shape);S.assertParamsConsistent(r,n);let s=S.computeOutShape(t.map(h=>h.shape),n),i=t.filter(h=>v.sizeFromShape(h.shape)>0);if(i.length===1)return a0({inputs:{x:i[0]},backend:a});let o=a.makeOutput(s,t[0].dtype);if(v.sizeFromShape(s)===0)return o;if(i[0].dtype==="string"){let h=i.map(A=>{let b=[-1,v.sizeFromShape(A.shape.slice(n))];return Ba({inputs:{x:A},backend:a,attrs:{shape:b}})}),f=h.map(A=>({vals:a.readSync(A.dataId),shape:A.shape}));s=S.computeOutShape(h.map(A=>A.shape),1);let m=h[0].shape[0]===1,g=Q3(f,s,t[0].dtype,m),y=S.computeOutShape(i.map(A=>A.shape),n);o.shape=y;let x=a.dataIdMap.get(o.dataId);return x.stringBytes=S.fromStringArrayToUint8(g),h.forEach(A=>a.disposeData(A.dataId)),o}let l=v.sizeFromShape(i[0].shape.slice(0,n)),u=0,p=i.map(h=>{let f=v.sizeFromShape(h.shape.slice(n));return u+=f,f}),c=i.map(h=>a.typedArrayFromHeap(h)),d=a.typedArrayFromHeap(o);for(let h=0;h`cumprod does not support ${r.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],l),p=r;u!==null&&(p=as({inputs:{x:r},attrs:{perm:u},backend:a}));let c=S.getInnerMostAxes(1,l)[0];S.assertAxesAreInnerMostDims("cumprod",[c],l);let d=a.makeOutput(p.shape,p.dtype),h=p.shape[c],f=a.dataIdMap.get(p.dataId).id,m=a.dataIdMap.get(d.dataId).id;z8(f,i?1:0,o?1:0,h,m,nt[r.dtype]);let g=d;if(u!==null){let y=S.getUndoAxesPermutation(u);g=as({inputs:{x:d},attrs:{perm:y},backend:a}),a.disposeData(p.dataId),a.disposeData(d.dataId)}return g}var dae={kernelName:bi,backendName:"wasm",setupFunc:lae,kernelFunc:uae},L8;function pae(e){L8=e.wasm.cwrap(vi,null,["number","number","number","number","number","number"])}function cae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n,l=r.shape.length;v.assert(r.dtype==="float32"||r.dtype==="int32",()=>`cumsum does not support ${r.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],l),p=r;u!==null&&(p=as({inputs:{x:r},attrs:{perm:u},backend:a}));let c=S.getInnerMostAxes(1,l)[0];S.assertAxesAreInnerMostDims("cumsum",[c],l);let d=a.makeOutput(p.shape,p.dtype),h=p.shape[c],f=a.dataIdMap.get(p.dataId).id,m=a.dataIdMap.get(d.dataId).id;L8(f,i?1:0,o?1:0,h,m,nt[r.dtype]);let g=d;if(u!==null){let y=S.getUndoAxesPermutation(u);g=as({inputs:{x:d},attrs:{perm:y},backend:a}),a.disposeData(p.dataId),a.disposeData(d.dataId)}return g}var hae={kernelName:vi,backendName:"wasm",setupFunc:pae,kernelFunc:cae},W8;function fae(e){W8=e.wasm.cwrap("DenseBincount",null,["number","array","number","number","boolean","number","number","boolean","number"])}function mae(e){let{backend:t,inputs:a,attrs:n}=e,{x:r,weights:s}=a,{size:i,binaryOutput:o}=n,l=s.shape.reduce((d,h)=>d*h,1)!==0,u=r.shape.length===1?[i]:[r.shape[0],i],p=t.makeOutput(u,s.dtype);function c(d){return t.dataIdMap.get(d.dataId).id}return W8(c(r),new Uint8Array(new Int32Array(r.shape).buffer),r.shape.length,i,l,c(s),nt[s.dtype],o,c(p)),p}var gae={kernelName:su,backendName:"wasm",setupFunc:fae,kernelFunc:mae},B8;function yae(e){B8=e.wasm.cwrap(ki,null,["number","number","number","array","number","array","array","number","number"])}function xae(e){let{backend:t,inputs:a,attrs:n}=e,{x:r}=a,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=t.makeOutput(f,"float32"),g=t.dataIdMap.get(r.dataId).id,y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),x=new Uint8Array(new Int32Array(f).buffer),A=new Uint8Array(new Int32Array(v.computeStrides(f)).buffer),b=t.dataIdMap.get(m.dataId).id;return B8(g,s,i==="NHWC"?1:0,y,r.shape.length-1,x,A,f.length,b),m}var Aae={kernelName:ki,backendName:"wasm",setupFunc:yae,kernelFunc:xae},V8;function bae(e){V8=e.wasm.cwrap(Ii,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function vae(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s}=t,i=n.dataIdMap.get(r.dataId).id,o=n.dataIdMap.get(s.dataId).id,{strides:l,dilations:u,pad:p,dimRoundingMode:c}=a,d=u==null?[1,1]:u,h=S.computeConv2DInfo(r.shape,s.shape,l,d,p,c,!0),f=h.filterHeight,m=h.filterWidth,g=h.padInfo.top,y=h.padInfo.right,x=h.padInfo.bottom,A=h.padInfo.left,b=h.dilationHeight,w=h.dilationWidth,C=h.strideHeight,T=h.strideWidth,N=h.inChannels,M=h.outChannels,F=h.padInfo.type==="SAME"?1:0;if(h.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${h.dataFormat}'. Please use 'channelsLast'.`);let E=n.makeOutput(h.outShape,"float32"),I=n.dataIdMap.get(E.dataId).id;return V8(i,r.shape[0],r.shape[1],r.shape[2],o,f,m,g,y,x,A,F,b,w,C,T,N,M,I),E}var wae={kernelName:Ii,backendName:"wasm",setupFunc:bae,kernelFunc:vae},U8;function kae(e){U8=e.wasm.cwrap("Diag",null,["number","number","number","number"])}function Iae(e){let{inputs:t,backend:a}=e,{x:n}=t,r=v.sizeFromShape(n.shape),s=a.makeOutput([...n.shape,...n.shape],n.dtype);return U8(a.dataIdMap.get(n.dataId).id,nt[n.dtype],r,a.dataIdMap.get(s.dataId).id),s}var Sae={kernelName:iu,backendName:"wasm",setupFunc:kae,kernelFunc:Iae},G8;function Cae(e){G8=e.wasm.cwrap(Si,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Tae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n;if(r.dtype!==s.dtype)throw new Error(`Dilation2D error: x must have the same dtype as filter. Got ${r.dtype} and ${s.dtype}`);let u=S.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p=a.makeOutput(u.outShape,r.dtype);return G8(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(p.dataId).id,nt[r.dtype],u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.filterHeight,u.filterWidth,u.padInfo.top,u.padInfo.left),p}var Nae={kernelName:Si,backendName:"wasm",setupFunc:Cae,kernelFunc:Tae},H8;function Rae(e){H8=e.wasm.cwrap(Pl,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Eae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,dy:i}=t,{strides:o,pad:l,dilations:u}=n;if(r.dtype!==s.dtype||r.dtype!==i.dtype)throw new Error(`Dilation2DBackpropFilter error: x must have the same dtype as filter and dy. Got ${r.dtype}, ${s.dtype}, and ${i.dtype}`);let p=S.computeDilation2DInfo(r.shape,s.shape,o,l,"NHWC",u),c=a.makeOutput(s.shape,s.dtype);return H8(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(i.dataId).id,a.dataIdMap.get(c.dataId).id,nt[r.dtype],p.batchSize,p.inChannels,p.inHeight,p.inWidth,p.outHeight,p.outWidth,p.strideHeight,p.strideWidth,p.dilationHeight,p.dilationWidth,p.filterHeight,p.filterWidth,p.padInfo.top,p.padInfo.left),c}var Mae={kernelName:Pl,backendName:"wasm",setupFunc:Rae,kernelFunc:Eae},j8;function Fae(e){j8=e.wasm.cwrap(Dl,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function _ae(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,dy:i}=t,{strides:o,pad:l,dilations:u}=n;if(r.dtype!==s.dtype||r.dtype!==i.dtype)throw new Error(`Dilation2DBackpropInput error: x must have the same dtype as filter and dy. Got ${r.dtype}, ${s.dtype}, and ${i.dtype}`);let p=S.computeDilation2DInfo(r.shape,s.shape,o,l,"NHWC",u),c=a.makeOutput(r.shape,r.dtype);return j8(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(i.dataId).id,a.dataIdMap.get(c.dataId).id,nt[r.dtype],p.batchSize,p.inChannels,p.inHeight,p.inWidth,p.outHeight,p.outWidth,p.strideHeight,p.strideWidth,p.dilationHeight,p.dilationWidth,p.filterHeight,p.filterWidth,p.padInfo.top,p.padInfo.left),c}var $ae={kernelName:Dl,backendName:"wasm",setupFunc:Fae,kernelFunc:_ae},Dae=at(Ti),q8;function Pae(e){q8=e.wasm.cwrap(ou,null,["number","number","number"])}function Oae(e){let{inputs:t,backend:a}=e,{dy:n,y:r}=t,s=a.makeOutput(r.shape,"float32"),i=o=>a.dataIdMap.get(o.dataId).id;return q8(i(r),i(n),i(s)),s}var zae={kernelName:ou,backendName:"wasm",setupFunc:Pae,kernelFunc:Oae},Lae=!1,Wae=ea(Ni,Lae,"bool"),Bae=at(Ri,"float32");function R1(e){let{inputs:t,attrs:a,backend:n}=e,{input:r}=t,{dim:s}=a,i=r.shape.length,o=r.shape.slice(),l=s;return s<0&&(v.assert(-(i+1)<=s,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+s+1),o.splice(l,0,1),Ba({inputs:{x:r},backend:n,attrs:{shape:o}})}var Vae={kernelName:uu,backendName:"wasm",kernelFunc:R1},Uae=at(Ei,"float32");function X8(e){let{attrs:{shape:t,value:a,dtype:n},backend:r}=e,s=r.makeOutput(t,n);return r.typedArrayFromHeap(s).fill(a),s}var Gae={kernelName:du,backendName:"wasm",kernelFunc:X8},K8;function Hae(e){K8=e.wasm.cwrap(Mi,null,["number","number","number","number","number","number"])}function jae(e){let{inputs:t,backend:a}=e,{image:n}=t,r=a.makeOutput(n.shape,n.dtype),s=a.dataIdMap.get(n.dataId).id,i=a.dataIdMap.get(r.dataId).id,[o,l,u,p]=n.shape;return K8(s,o,l,u,p,i),r}var qae={kernelName:Mi,backendName:"wasm",kernelFunc:jae,setupFunc:Hae},Xae=at(Fi),Kae=!1,Yae=ea(_i,Kae),Y8;function Zae(e){Y8=e.wasm.cwrap($i,null,["number","number","number","number","number","number","number"])}function Jae(e){let{backend:t,inputs:a,attrs:n}=e,{varianceEpsilon:r}=n,{x:s,mean:i,variance:o,offset:l,scale:u}=a,p=t.dataIdMap.get(s.dataId).id,c=t.dataIdMap.get(i.dataId).id,d=t.dataIdMap.get(o.dataId).id,h=l!=null?t.dataIdMap.get(l.dataId).id:0,f=u!=null?t.dataIdMap.get(u.dataId).id:0,m=t.makeOutput(s.shape,s.dtype);if(v.sizeFromShape(s.shape)===0)return m;let g=t.dataIdMap.get(m.dataId).id;return Y8(p,c,d,h,f,r,g),m}var Qae={kernelName:$i,backendName:"wasm",setupFunc:Zae,kernelFunc:Jae},Z8;function ene(e){Z8=e.wasm.cwrap(Kr,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function tne(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=a,m=S.computeConv2DInfo(r.shape,s.shape,l,p,u,d),g=Xd[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedConv2D in the wasm backend.`);let y=n.dataIdMap.get(r.dataId).id,x=n.dataIdMap.get(s.dataId).id,A=m.outChannels,b=0;if(i!=null){let X=n.dataIdMap.get(i.dataId);if(X.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${X.shape.length}.`);if(X.shape[0]!==A)throw new Error(`FusedConv2D bias shape (${X.shape}) does not match the number of output channels (${A})`);b=X.id}let w=m.filterHeight,C=m.filterWidth,T=m.padInfo.top,N=m.padInfo.right,M=m.padInfo.bottom,F=m.padInfo.left,E=m.dilationHeight,I=m.dilationWidth,_=m.strideHeight,O=m.strideWidth,B=m.inChannels,$=m.padInfo.type==="SAME"?1:0,U=m.batchSize,G=m.inHeight,q=m.inWidth;if(c!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${c}'. Please use 'NHWC'.`);let H=n.makeOutput(m.outShape,"float32"),V=n.dataIdMap.get(H.dataId).id,Z=o==null?0:n.dataIdMap.get(o.dataId).id;return Z8(y,U,G,q,x,w,C,b,T,N,M,F,$,E,I,_,O,B,A,g,Z,f||0,V),H}var ane={kernelName:Kr,backendName:"wasm",setupFunc:ene,kernelFunc:tne},J8;function nne(e){J8=e.wasm.cwrap(Yr,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function rne(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dataFormat:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=a,m=S.computeConv2DInfo(r.shape,s.shape,l,p,u,d,!0),g=Xd[h];if(g==null)throw new Error(`${h} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let y=n.dataIdMap.get(r.dataId).id,x=n.dataIdMap.get(s.dataId).id,A=m.outChannels,b=0;if(i!=null){let X=n.dataIdMap.get(i.dataId);if(X.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${X.shape.length}.`);if(X.shape[0]!==A)throw new Error(`FusedDepthwiseConv2D bias shape (${X.shape}) does not match the number of output channels (${A})`);b=X.id}let w=m.filterHeight,C=m.filterWidth,T=m.padInfo.top,N=m.padInfo.right,M=m.padInfo.bottom,F=m.padInfo.left,E=m.dilationHeight,I=m.dilationWidth,_=m.strideHeight,O=m.strideWidth,B=m.inChannels,$=m.padInfo.type==="SAME"?1:0,U=m.batchSize,G=m.inHeight,q=m.inWidth;if(c!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${c}'. Please use 'NHWC'.`);let H=n.makeOutput(m.outShape,"float32"),V=n.dataIdMap.get(H.dataId).id,Z=o==null?0:n.dataIdMap.get(o.dataId).id;return J8(y,U,G,q,x,w,C,b,T,N,M,F,$,E,I,_,O,B,A,g,Z,f||0,V),H}var sne={kernelName:Yr,backendName:"wasm",setupFunc:nne,kernelFunc:rne},Q8;function ine(e){Q8=e.wasm.cwrap(Di,null,["number","number","number","number","number","number","array","number"])}function one(e){let{backend:t,inputs:a}=e,{params:n,indices:r}=a,[s,i,o,l]=H3.prepareAndValidate(n,r),u=t.makeOutput(s,n.dtype);if(i===0)return u;let p=r.shape,c=p[p.length-1],d=t.dataIdMap.get(n.dataId).id,h=t.dataIdMap.get(r.dataId).id,f=new Uint8Array(new Int32Array(l).buffer),m=t.dataIdMap.get(u.dataId).id;return Q8(d,nt[n.dtype],h,i,c,o,f,m),u}var lne={kernelName:Di,backendName:"wasm",setupFunc:ine,kernelFunc:one},ew;function une(e){ew=e.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function dne(e){let{backend:t,inputs:a,attrs:n}=e,{x:r,indices:s}=a,{axis:i,batchDims:o}=n,l=v.parseAxisParam(i,r.shape)[0],u=t.readSync(s.dataId),p=r.shape[l];for(let T=0;T=0,()=>`GatherV2: the index value ${N} is not in [0, ${p-1}]`)}let c=S.segment_util.collectGatherOpShapeInfo(r,s,l,o),d=Ba({inputs:{x:r},attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]},backend:t}),h=v.sizeFromShape(s.shape),f=Ba({inputs:{x:s},attrs:{shape:[c.batchSize,h/c.batchSize]},backend:t}),m=[c.batchSize,c.outerSize,h/c.batchSize,c.sliceSize],g=t.makeOutput(m,r.dtype);if(v.sizeFromShape(r.shape)===0)return g;let y=d.shape.length-1,x=t.dataIdMap.get(d.dataId).id,A=t.dataIdMap.get(f.dataId).id,b=t.dataIdMap.get(g.dataId).id,w=new Uint8Array(new Int32Array(v.computeStrides(d.shape)).buffer),C=new Uint8Array(new Int32Array(v.computeStrides(m)).buffer);return ew(x,nt[r.dtype],w,y,A,c.batchSize,C,b),t.disposeData(d.dataId),t.disposeData(f.dataId),g.shape=c.outputShape,g}var pne={kernelName:pu,backendName:"wasm",setupFunc:une,kernelFunc:dne},cne=!1,hne=ea(Pi,cne,"bool"),fne=!1,mne=ea(Oi,fne,"bool"),gne=at(Li,"bool"),yne=at(Wi,"bool"),xne=at(Bi,"bool"),tw;function Ane(e){tw=e.wasm.cwrap(Vi,null,["number","number","number","number"])}function bne(e){let{inputs:{x:t},attrs:{alpha:a},backend:n}=e,r=n.dataIdMap.get(t.dataId).id,s=n.makeOutput(t.shape,"float32");if(v.sizeFromShape(t.shape)!==0){let i=n.dataIdMap.get(s.dataId).id;tw(r,nt[t.dtype],a,i)}return s}var vne={kernelName:Vi,backendName:"wasm",setupFunc:Ane,kernelFunc:bne},wne=!1,kne=ea(Ui,wne,"bool"),Ine=!1,Sne=ea(Gi,Ine,"bool"),aw;function Cne(e){aw=e.wasm.cwrap(Hi,null,["number","number","number","number"])}function Tne(e){let{attrs:t,backend:a}=e,{start:n,stop:r,num:s}=t,i=Math.floor(s),o=a.makeOutput([i],"float32");return aw(a.dataIdMap.get(o.dataId).id,n,r,i),o}var Nne={kernelName:Hi,backendName:"wasm",setupFunc:Cne,kernelFunc:Tne},Rne=at(ji),Ene=at(qi),Mne=!1,Fne=ea(Xi,Mne,"bool"),_ne=at(Ki),$ne=!1,Dne=ea(Yi,$ne,"bool"),Pne=!1,One=ea(oA,Pne,"bool"),nw;function zne(e){nw=e.wasm.cwrap(Zi,null,["number","number","number","number","number","number","number"])}function Lne(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n;if(r.dtype!=="float32")throw new Error("LRN error: x must have dtype float32");let u=a.makeOutput(r.shape,r.dtype);return nw(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(u.dataId).id,r.shape[3],s,i,o,l),u}var Wne={kernelName:Zi,backendName:"wasm",setupFunc:zne,kernelFunc:Lne},rw;function Bne(e){rw=e.wasm.cwrap(cu,null,["number","number","number","number","number","number","number","number","number"])}function Vne(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=n;if(r.dtype!=="float32"||s.dtype!=="float32"||i.dtype!=="float32")throw new Error("LRNGrad error: x, y, and dy must have dtype float32");let c=a.makeOutput(r.shape,r.dtype);return rw(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(i.dataId).id,a.dataIdMap.get(c.dataId).id,i.shape[3],o,l,u,p),c}var Une={kernelName:cu,backendName:"wasm",setupFunc:Bne,kernelFunc:Vne},sw;function Gne(e){sw=e.wasm.cwrap(Ji,null,["number","number","number","number"])}function Hne(e){let{backend:t,inputs:a,attrs:n}=e,{reductionIndices:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=i,{transposed:u,axes:p,originalAxes:c,inputWasTransposed:d}=ps(i,r,t);if(d){let x=t.dataIdMap.get(u.dataId).id;l=u,o=x}let h=l.shape.length;S.assertAxesAreInnerMostDims("max",p,h);let[f,m]=S.computeOutAndReduceShapes(l.shape,p),g=v.sizeFromShape(m),y=t.makeOutput(f,i.dtype);if(v.sizeFromShape(l.shape)!==0){let x=t.dataIdMap.get(y.dataId).id;sw(o,nt[i.dtype],g,x)}if(d&&t.disposeData(u.dataId),s){let x=S.expandShapeToKeepDim(y.shape,c);y.shape=x}return y}var jne={kernelName:Ji,backendName:"wasm",setupFunc:Gne,kernelFunc:Hne},qne=!1,Xne=ea(Qi,qne),iw;function Kne(e){iw=e.wasm.cwrap(eo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Yne(e){let{inputs:t,attrs:a,backend:n}=e,r=t.x,s=n.dataIdMap.get(r.dataId).id;v.assert(r.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${r.dtype}.`);let{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=a,p=S.computePool2DInfo(r.shape,i,o,1,l,u),c=p.filterHeight,d=p.filterWidth,h=p.padInfo.top,f=p.padInfo.right,m=p.padInfo.bottom,g=p.padInfo.left,y=p.dilationHeight,x=p.dilationWidth,A=p.strideHeight,b=p.strideWidth,w=p.inChannels,C=p.outChannels;if(p.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${p.dataFormat}'. Please use 'channelsLast'.`);let T=n.makeOutput(p.outShape,"float32"),N=n.dataIdMap.get(T.dataId).id;return iw(s,r.shape[0],r.shape[1],r.shape[2],c,d,h,f,m,g,y,x,A,b,w,C,N),T}var Zne={kernelName:eo,backendName:"wasm",setupFunc:Kne,kernelFunc:Yne},ow;function Jne(e){ow=e.wasm.cwrap("MaxPool3D",null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Qne(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=n,p=S.computePool3DInfo(r.shape,s,i,1,o,l,u),c=a.makeOutput(p.outShape,r.dtype);return ow(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(c.dataId).id,p.batchSize,p.inChannels,p.inDepth,p.inHeight,p.inWidth,p.outDepth,p.outHeight,p.outWidth,p.strideDepth,p.strideHeight,p.strideWidth,p.dilationDepth,p.dilationHeight,p.dilationWidth,p.effectiveFilterDepth,p.effectiveFilterHeight,p.effectiveFilterWidth,p.padInfo.front,p.padInfo.top,p.padInfo.left),c}var ere={kernelName:hu,backendName:"wasm",setupFunc:Jne,kernelFunc:Qne},lw;function tre(e){lw=e.wasm.cwrap("MaxPool3DGrad",null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function are(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,{filterSize:i,strides:o,pad:l,dimRoundingMode:u}=n,p=S.computePool3DInfo(s.shape,i,o,1,l,u),c=a.makeOutput(s.shape,s.dtype);return lw(a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(c.dataId).id,p.batchSize,p.inChannels,p.inDepth,p.inHeight,p.inWidth,p.outDepth,p.outHeight,p.outWidth,p.strideDepth,p.strideHeight,p.strideWidth,p.dilationDepth,p.dilationHeight,p.dilationWidth,p.effectiveFilterDepth,p.effectiveFilterHeight,p.effectiveFilterWidth,p.padInfo.front,p.padInfo.top,p.padInfo.left),c}var nre={kernelName:dp,backendName:"wasm",setupFunc:tre,kernelFunc:are},uw;function rre(e){uw=e.wasm.cwrap(to,null,["number, number, number"])}function sre(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=ps(i,r,t),f=c;if(h){let b=t.dataIdMap.get(p.dataId).id;b!==o&&(u=p,l=b,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("mean",f,u.shape.length);let[m,g]=S.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=u;u.dtype!=="float32"&&(x=cs({backend:t,inputs:{x:u},attrs:{dtype:"float32"}}),l=t.dataIdMap.get(x.dataId).id);let A=t.makeOutput(m,"float32");if(v.sizeFromShape(u.shape)!==0){let b=t.dataIdMap.get(A.dataId).id;uw(l,y,b)}if(h&&t.disposeData(p.dataId),s){let b=S.expandShapeToKeepDim(A.shape,d);A.shape=b}return u.dtype!=="float32"&&t.disposeData(x.dataId),A}var ire={kernelName:to,backendName:"wasm",setupFunc:rre,kernelFunc:sre},dw;function ore(e){dw=e.wasm.cwrap(ao,null,["number","number","number","number"])}function lre(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=ps(i,r,t);if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A)}let f=u.shape.length;S.assertAxesAreInnerMostDims("min",c,f);let[m,g]=S.computeOutAndReduceShapes(u.shape,c),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;dw(l,nt[i.dtype],y,A)}if(h&&t.disposeData(p.dataId),s){let A=S.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var ure={kernelName:ao,backendName:"wasm",setupFunc:ore,kernelFunc:lre},dre=!1,pre=ea(no,dre),E1;(function(e){e[e.reflect=0]="reflect",e[e.symmetric=1]="symmetric"})(E1||(E1={}));var pw;function cre(e){pw=e.wasm.cwrap(ro,null,["number","array","number","number","array","array","number","number"])}function hre(e){let{inputs:{x:t},backend:a,attrs:{paddings:n,mode:r}}=e,s=n.map((f,m)=>f[0]+t.shape[m]+f[1]),i=a.dataIdMap.get(t.dataId).id,o=a.makeOutput(s,t.dtype),l=a.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(f=>f[0]),c=n.map(f=>f[1]),d=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(c).buffer);return pw(i,u,t.shape.length,nt[t.dtype],d,h,E1[r],l),o}var fre={kernelName:ro,backendName:"wasm",kernelFunc:hre,setupFunc:cre},cw;function mre(e){cw=e.wasm.cwrap($o,null,["number","number","number","number"])}function hw(e){let{backend:t,inputs:{logits:a},attrs:{dim:n}}=e,r=t.dataIdMap.get(a.dataId).id,s=t.makeOutput(a.shape,a.dtype),i=t.dataIdMap.get(s.dataId).id,o=a.shape[n],l=v.sizeFromShape(a.shape)/o;return v.sizeFromShape(s.shape)===0||cw(r,i,o,l),s}var gre={kernelName:$o,backendName:"wasm",setupFunc:mre,kernelFunc:hw},fw;function yre(e){fw=e.wasm.cwrap(so,null,["number","number","number","number","number","number"])}function xre(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n;if(r.dtype!=="float32")throw new Error(`Tensor logits must have dtype float32, got ${r.dtype}`);let l=o?r:hw({inputs:{logits:r},backend:a,attrs:{dim:r.shape.length-1}}),[u,p]=l.shape,c=a.makeOutput([u,s],"int32");return fw(a.dataIdMap.get(l.dataId).id,u,p,s,i,a.dataIdMap.get(c.dataId).id),o||a.disposeData(l.dataId),c}var Are={kernelName:so,backendName:"wasm",setupFunc:yre,kernelFunc:xre},bre=!0,vre=ea(io,bre),wre=at(mu);function Tg(e,t){let a=new Int32Array(e.wasm.HEAPU8.buffer,t,4),n=a[0],r=a[1],s=a[2],i=a[3];return e.wasm._free(t),{pSelectedIndices:n,selectedSize:r,pSelectedScores:s,pValidOutputs:i}}var mw;function kre(e){mw=e.wasm.cwrap(lo,"number",["number","number","number","number","number"])}function Ire(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i}=n,{boxes:o,scores:l}=a,u=t.dataIdMap.get(o.dataId).id,p=t.dataIdMap.get(l.dataId).id,c=mw(u,p,s,r,i),{pSelectedIndices:d,selectedSize:h,pSelectedScores:f,pValidOutputs:m}=Tg(t,c);return t.wasm._free(f),t.wasm._free(m),t.makeOutput([h],"int32",d)}var Sre={kernelName:lo,backendName:"wasm",setupFunc:kre,kernelFunc:Ire},gw;function Cre(e){gw=e.wasm.cwrap(gu,"number",["number","number","number","number","number","bool"])}function Tre(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,padToMaxOutputSize:o}=n,{boxes:l,scores:u}=a,p=t.dataIdMap.get(l.dataId).id,c=t.dataIdMap.get(u.dataId).id,d=gw(p,c,s,r,i,o),{pSelectedIndices:h,selectedSize:f,pSelectedScores:m,pValidOutputs:g}=Tg(t,d);t.wasm._free(m);let y=t.makeOutput([f],"int32",h),x=t.makeOutput([],"int32",g);return[y,x]}var Nre={kernelName:gu,backendName:"wasm",setupFunc:Cre,kernelFunc:Tre},yw;function Rre(e){yw=e.wasm.cwrap(uo,"number",["number","number","number","number","number","number"])}function Ere(e){let{backend:t,inputs:a,attrs:n}=e,{iouThreshold:r,maxOutputSize:s,scoreThreshold:i,softNmsSigma:o}=n,{boxes:l,scores:u}=a,p=t.dataIdMap.get(l.dataId).id,c=t.dataIdMap.get(u.dataId).id,d=yw(p,c,s,r,i,o),{pSelectedIndices:h,selectedSize:f,pSelectedScores:m,pValidOutputs:g}=Tg(t,d);t.wasm._free(g);let y=t.makeOutput([f],"int32",h),x=t.makeOutput([f],"float32",m);return[y,x]}var Mre={kernelName:uo,backendName:"wasm",setupFunc:Rre,kernelFunc:Ere},Fre=!1,_re=ea(oo,Fre,"bool"),xw;function $re(e){xw=e.wasm.cwrap(po,null,["number","number","number","number","number"])}function Dre(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=a.makeOutput([...r.shape,i],s),p=a.dataIdMap.get(u.dataId).id,c=a.dataIdMap.get(r.dataId).id;return xw(c,i,o,l,p),u}var Pre={kernelName:po,backendName:"wasm",setupFunc:$re,kernelFunc:Dre};function Ore(e){let{inputs:{x:t},backend:a}=e,n=a.makeOutput(t.shape,t.dtype);return a.typedArrayFromHeap(n).fill(1),n}var zre={kernelName:yu,backendName:"wasm",kernelFunc:Ore};function Lre(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return R1({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=R1({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=M8({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeData(p.dataId)),u}var Wre={kernelName:xu,backendName:"wasm",kernelFunc:Lre},Aw;function Bre(e){Aw=e.wasm.cwrap(co,null,["number","array","number","number","array","array","number","number"])}function Vre(e){let{inputs:{x:t},backend:a,attrs:{paddings:n,constantValue:r}}=e,s=n.map((f,m)=>f[0]+t.shape[m]+f[1]);if(v.sizeFromShape(t.shape)===0)return X8({backend:a,attrs:{shape:s,value:r,dtype:t.dtype}});let i=a.dataIdMap.get(t.dataId).id,o=a.makeOutput(s,t.dtype),l=a.dataIdMap.get(o.dataId).id,u=new Uint8Array(new Int32Array(t.shape).buffer),p=n.map(f=>f[0]),c=n.map(f=>f[1]),d=new Uint8Array(new Int32Array(p).buffer),h=new Uint8Array(new Int32Array(c).buffer);return Aw(i,u,t.shape.length,nt[t.dtype],d,h,r,l),o}var bw={kernelName:co,backendName:"wasm",kernelFunc:Vre,setupFunc:Bre},Ure=!1,Gre=ea(ho,Ure),vw;function Hre(e){vw=e.wasm.cwrap(fo,null,["number","number","number"])}function jre(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=a.dataIdMap.get(n.dataId).id,i=a.dataIdMap.get(r.dataId).id,o=s,l=n,u=l;l.dtype!=="float32"&&(u=cs({backend:a,inputs:{x:n},attrs:{dtype:"float32"}}),o=a.dataIdMap.get(u.dataId).id);let p=a.makeOutput(n.shape,"float32"),c=a.dataIdMap.get(p.dataId).id;return vw(o,i,c),l.dtype!=="float32"&&a.disposeData(u.dataId),p}var qre={kernelName:fo,backendName:"wasm",setupFunc:Hre,kernelFunc:jre},ww;function Xre(e){ww=e.wasm.cwrap(mo,null,["number","number","number","number"])}function Kre(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=ps(i,r,t),f=c;if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("prod",f,u.shape.length);let[m,g]=S.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;ww(l,y,nt[x.dtype],A)}if(h&&t.disposeData(p.dataId),s){let A=S.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var Yre={kernelName:mo,backendName:"wasm",setupFunc:Xre,kernelFunc:Kre},Zre=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=ag(n,r,s,i),l=t.makeOutput([o.length],i);return t.typedArrayFromHeap(l).set(o),l},Jre={kernelName:Au,backendName:"wasm",kernelFunc:Zre},Qre=!0,ese=ea(Ci,Qre),tse=at(go),ase=at(yo),nse=at(bo),kw;function rse(e){kw=e.wasm.cwrap(Ao,null,["number","number","number","number","number","number","number","number","number","number"])}function sse(e){let{backend:t,inputs:a,attrs:n}=e,{images:r}=a,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,[p,c,d,h]=r.shape,f=[p,l,u,h],m=t.dataIdMap.get(r.dataId),g;m.dtype!=="float32"&&(g=cs({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),m=t.dataIdMap.get(g.dataId));let y=m.id,x=t.makeOutput(f,"float32");if(v.sizeFromShape(r.shape)===0)return x;let A=t.dataIdMap.get(x.dataId).id;return kw(y,p,c,d,h,l,u,s?1:0,i?1:0,A),g!=null&&t.disposeData(g.dataId),x}var ise={kernelName:Ao,backendName:"wasm",setupFunc:rse,kernelFunc:sse},Iw;function ose(e){Iw=e.wasm.cwrap(wu,null,["number","number","number","array","array","boolean"])}function lse(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=a.makeOutput(r.shape,"float32"),l=a.dataIdMap.get(r.dataId),u;return l.dtype!=="float32"&&(u=cs({backend:a,inputs:{x:r},attrs:{dtype:"float32"}}),l=a.dataIdMap.get(u.dataId)),Iw(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(o.dataId).id,new Uint8Array(new Int32Array(r.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),i),u!=null&&a.disposeData(u.dataId),o}var use={kernelName:wu,backendName:"wasm",setupFunc:ose,kernelFunc:lse},Sw;function dse(e){Sw=e.wasm.cwrap(xo,null,["number","number","number","number","number","number","number","number","number","number"])}function pse(e){let{backend:t,inputs:a,attrs:n}=e,{images:r}=a,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,[p,c,d,h]=r.shape,f=[p,l,u,h],m=t.makeOutput(f,"float32");if(v.sizeFromShape(r.shape)===0)return m;let g=t.dataIdMap.get(r.dataId),y;g.dtype!=="float32"&&(y=cs({backend:t,inputs:{x:r},attrs:{dtype:"float32"}}),g=t.dataIdMap.get(y.dataId));let x=g.id,A=t.dataIdMap.get(m.dataId).id;return Sw(x,p,c,d,h,l,u,s?1:0,i?1:0,A),y!=null&&t.disposeData(y.dataId),m}var cse={kernelName:xo,backendName:"wasm",setupFunc:dse,kernelFunc:pse},Cw;function hse(e){Cw=e.wasm.cwrap(vu,null,["number","number","number","array","array","boolean"])}function fse(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,o=a.makeOutput(r.shape,"float32"),l=a.dataIdMap.get(r.dataId),u;return l.dtype!=="float32"&&(u=cs({backend:a,inputs:{x:r},attrs:{dtype:"float32"}}),l=a.dataIdMap.get(u.dataId)),Cw(a.dataIdMap.get(r.dataId).id,a.dataIdMap.get(s.dataId).id,a.dataIdMap.get(o.dataId).id,new Uint8Array(new Int32Array(r.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),i),u!=null&&a.disposeData(u.dataId),o}var mse={kernelName:vu,backendName:"wasm",setupFunc:hse,kernelFunc:fse},Tw;function gse(e){Tw=e.wasm.cwrap(vo,null,["number","array","number","array","number","number"])}function yse(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=v.parseAxisParam(s,r.shape);if(r.shape.length===0)return a0({inputs:{x:r},backend:a});let o=a.makeOutput(r.shape,r.dtype),l=a.dataIdMap.get(r.dataId).id,u=a.dataIdMap.get(o.dataId).id,p=new Uint8Array(new Int32Array(i).buffer),c=new Uint8Array(new Int32Array(r.shape).buffer);Tw(l,p,i.length,c,r.shape.length,u);let d=Ba({inputs:{x:o},attrs:{shape:r.shape},backend:a});return a.disposeData(o.dataId),d}var xse={kernelName:vo,backendName:"wasm",kernelFunc:yse,setupFunc:gse},Nw;function Ase(e){Nw=e.wasm.cwrap(Uo,null,["number","number","number","number","number","number","number","number","array","number","number"])}function bse(e){let{inputs:t,backend:a,attrs:n}=e,{image:r}=t,{radians:s,fillValue:i,center:o}=n,l=a.makeOutput(r.shape,r.dtype),u=a.dataIdMap.get(r.dataId).id,p=a.dataIdMap.get(l.dataId).id,[c,d,h,f]=r.shape,[m,g]=S.getImageCenter(o,d,h),y=i===0,x=255,A=typeof i=="number"?[i,i,i,y?0:x]:[...i,x],b=new Uint8Array(new Int32Array(A).buffer);return Nw(u,c,d,h,f,s,m,g,b,A.length,p),l}var vse={kernelName:Uo,backendName:"wasm",kernelFunc:bse,setupFunc:Ase},wse=at(wo),kse=at(ko),Rw;function Ise(e){Rw=e.wasm.cwrap(Io,null,["number","number","number","number","number","number","array","number","number"])}function Sse(e){let{backend:t,inputs:a,attrs:n}=e,{indices:r,updates:s}=a,{shape:i}=n,o=t.makeOutput(i,s.dtype);if(v.sizeFromShape(i)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=Wh.calculateShapes(s,r,i),h=t.dataIdMap.get(r.dataId).id,f=t.dataIdMap.get(s.dataId).id,m=new Uint8Array(new Int32Array(c).buffer),g=t.dataIdMap.get(o.dataId).id;return Rw(h,f,nt[s.dtype],l,u,p,m,d,g),o}var Cse={kernelName:Io,backendName:"wasm",setupFunc:Ise,kernelFunc:Sse},Ew;function Tse(e){Ew=e.wasm.cwrap(Co,null,["number","number","number","number","number","number","bool","number"])}function Nse(e){let{inputs:t,backend:a,attrs:n}=e,{sortedSequence:r,values:s}=t,{side:i}=n;if(r.dtype!==s.dtype)throw new Error(`SearchSorted error: sorted_sequence must have the same dtype as values. Got ${r.dtype} and ${s.dtype}`);let o=a.makeOutput(s.shape,"int32");function l(u){return a.dataIdMap.get(u.dataId).id}return Ew(l(r),l(s),r.shape[0],r.shape[1],s.shape[1],nt[r.dtype],i==="left",l(o)),o}var Rse={kernelName:Co,backendName:"wasm",setupFunc:Tse,kernelFunc:Nse},Mw;function Ese(e){Mw=e.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function Mse(e){let{inputs:t,backend:a}=e,{condition:n,t:r,e:s}=t,i=a.dataIdMap.get(n.dataId).id,o=a.dataIdMap.get(r.dataId).id,l=a.dataIdMap.get(s.dataId).id,u=a.makeOutput(r.shape,r.dtype),p=a.dataIdMap.get(u.dataId).id,c=n.shape.length,d=r.shape.length,h=c===0||c>1||d===1?1:v.sizeFromShape(r.shape.slice(1));return Mw(i,o,l,h,p),u}var Fse={kernelName:ku,backendName:"wasm",kernelFunc:Mse,setupFunc:Ese},_se=at(To),Fw;function $se(e){Fw=e.wasm.cwrap(Eo,null,["number","number"])}function Dse(e){let{backend:t,inputs:{x:a}}=e,n=t.dataIdMap.get(a.dataId).id,r=t.makeOutput(a.shape,a.dtype),s=t.dataIdMap.get(r.dataId).id;return v.sizeFromShape(r.shape)===0||Fw(n,s),r}var Pse={kernelName:"Sigmoid",backendName:"wasm",setupFunc:$se,kernelFunc:Dse},Ose=at(Ro),zse=at(No),Lse=at(Mo);function Wse(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n,o=v.sizeFromShape(s),l=[[0,0]];l.push(...i);for(let g=1+s.length;g0?l+1:0;if(u<0)throw new Error(T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let c=a.dataIdMap.get(r.dataId).id,d=a.dataIdMap.get(s.dataId).id,h=a.dataIdMap.get(i.dataId).id,f=a.makeOutput(p,r.dtype),m=a.dataIdMap.get(f.dataId).id,g=a.makeOutput([4],"int32"),y=a.dataIdMap.get(g.dataId).id;f8(c,Ct[r.dtype],r.shape[0],d,h,m,y,t,0);let x=a.readSync(g.dataId),A;switch(x[0]){case 0:{A=T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{A=T.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:A=T.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(x[1],x[2]);break;case 3:A=T.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x[1],x[2],x[3]);break;default:A=""}if(a.disposeData(g.dataId),A)throw a.disposeData(f.dataId),new Error(A);return f}function Pae(e){return g8(e,!0)}var Fae={kernelName:Bd,backendName:"wasm",setupFunc:m8,kernelFunc:Pae};function Oae(e){return g8(e,!1)}var Dae={kernelName:Wd,backendName:"wasm",setupFunc:m8,kernelFunc:Oae};function zae(e){let{inputs:t,attrs:a,backend:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(c=>{let d=[...p];d[o]=c;let h=qs({inputs:{x:r},attrs:{begin:u,size:d},backend:n});return u[o]+=c,h})}var Lae={kernelName:Ql,backendName:"wasm",kernelFunc:zae},Bae=Bt(so),Wae=Bt(Ud),Vae=!0,Uae=ca(lo,Vae),y8;function Gae(e){y8=e.wasm.cwrap(rs,null,["number","number","number","number"])}function Hae(e){let{backend:t,inputs:a,attrs:n}=e,{alpha:r}=n,{x:s}=a,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return y8(i,r,Ct[s.dtype],l),o}var jae={kernelName:rs,backendName:"wasm",setupFunc:Gae,kernelFunc:Hae},x8;function qae(e){x8=e.wasm.cwrap(uo,null,["number","array","number","array","array","array","array","array","number","number"])}function Xae(e){let{backend:t,inputs:a,attrs:n}=e,{x:r}=a,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=St.sliceInfo(r.shape,s,i,o,l,u,p,c,d),k;if(m)k=Wa({inputs:{x:r},backend:t,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let S=St.computeOutShape(x,A,b),C=qs({inputs:{x:r},backend:t,attrs:{begin:x,size:S}});k=Wa({inputs:{x:C},backend:t,attrs:{shape:f}}),t.disposeData(C.dataId)}else{let S=t.makeOutput(h,"float32"),C=t.dataIdMap.get(r.dataId).id,N=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),$=new Uint8Array(new Int32Array(x).buffer),M=new Uint8Array(new Int32Array(A).buffer),R=new Uint8Array(new Int32Array(b).buffer),I=new Uint8Array(new Int32Array(h).buffer),_=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),D=t.dataIdMap.get(S.dataId).id;x8(C,N,r.shape.length,$,M,R,I,_,h.length,D),k=Wa({inputs:{x:S},backend:t,attrs:{shape:f}}),t.disposeData(S.dataId)}return k}var Kae={kernelName:uo,backendName:"wasm",setupFunc:qae,kernelFunc:Xae};function Zae(e){let{backend:t,inputs:a,attrs:n}=e,{data:r,dataSplits:s}=a,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:c}=n,d=t.readSync(r.dataId),h=t.readSync(s.dataId),[f,m]=h3(d,h,i,o,l,u,p,c),g=t.makeOutput([f.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=f;let x=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(x).set(m),[g,x]}var Yae={kernelName:tu,backendName:"wasm",kernelFunc:Zae};function Jae(e){let{backend:t,inputs:a,attrs:n}=e,{input:r,delimiter:s}=a,{skipEmpty:i}=n,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,c]=f3(o,l[0],i),d=p.length,h=t.makeOutput([d,2],"int32");t.typedArrayFromHeap(h).set(u);let f=t.makeOutput([d],"string"),m=t.dataIdMap.get(f.dataId);m.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(c),[h,f,g]}var Qae={kernelName:Gd,backendName:"wasm",kernelFunc:Jae};function ene(e){let{backend:t,inputs:a,attrs:n}=e,{input:r}=a,{numBuckets:s}=n,i=t.readSync(r.dataId),o=m3(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var tne={kernelName:Hd,backendName:"wasm",kernelFunc:ene},ane=!0,nne=ca(po,ane),A8;function rne(e){A8=e.wasm.cwrap(io,null,["number","number","number","number"])}function sne(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=us(i,r,t),f=c;if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A,f=T.getInnerMostAxes(f.length,u.shape.length))}T.assertAxesAreInnerMostDims("sum",f,u.shape.length);let[m,g]=T.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;A8(l,y,Ct[x.dtype],A)}if(h&&t.disposeData(p.dataId),s){let A=T.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var ine={kernelName:io,backendName:"wasm",setupFunc:rne,kernelFunc:sne},one=Bt(co),lne=Bt(ho),b8;function une(e){b8=e.wasm.cwrap(ns,null,["number","array","number","array","number","number"])}function dne(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,s=a.dataIdMap.get(r.dataId).id,{reps:i}=n,o=new Array(r.shape.length);for(let d=0;d{let{x:n}=e,{k:r,sorted:s}=a,i=t.dataIdMap.get(n.dataId).id,o=new Uint8Array(new Int32Array(n.shape).buffer),l=n.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,n.dtype),p=t.dataIdMap.get(u.dataId).id,c=t.makeOutput(l,"int32"),d=t.dataIdMap.get(c.dataId).id;return v8(i,o,n.shape.length,Ct[n.dtype],r,s,p,d),[u,c]},fne={kernelName:fo,backendName:"wasm",setupFunc:cne,kernelFunc:hne},k8;function mne(e){k8=e.wasm.cwrap(mo,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function gne(e){let{backend:t,inputs:a,attrs:n}=e,{image:r,transforms:s}=a,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),A=t.makeOutput(g,r.dtype),b=t.dataIdMap.get(A.dataId).id,k=t.dataIdMap.get(r.dataId).id,S=t.dataIdMap.get(s.dataId).id,C=i==="nearest"?1:2,N;switch(o){case"constant":N=1;break;case"reflect":N=2;break;case"wrap":N=3;break;case"nearest":N=4;break;default:N=1;break}return k8(k,S,s.shape[0]>1,p,f,m,h,d,c,y,r.shape.length-1,x,g.length-1,C,N,l,b),A}var yne={kernelName:mo,backendName:"wasm",setupFunc:mne,kernelFunc:gne};function xne(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:f,shape:l}))}var Ane={kernelName:au,backendName:"wasm",kernelFunc:xne};function bne(e){let{inputs:{x:t},backend:a}=e,n=a.makeOutput(t.shape,t.dtype);return a.typedArrayFromHeap(n).fill(0),n}var vne={kernelName:nu,backendName:"wasm",kernelFunc:bne},kne=[XJ,KJ,YJ,eQ,lQ,pQ,fQ,yQ,vQ,CQ,NQ,EQ,$Q,_Q,OQ,LQ,BQ,WQ,GQ,qQ,ZQ,QQ,aee,nee,see,iee,oee,lee,pee,cee,fee,yee,bee,wee,Tee,Eee,Mee,_ee,tQ,Pee,Dee,Lee,Wee,Vee,Gee,Hee,qee,Kee,Jee,ete,nte,ite,ute,pte,fte,gte,yte,bte,wte,Tte,Nte,Mte,_te,Fte,t8,Lte,Vte,Hte,qte,Kte,Zte,Yte,Jte,xQ,tae,rae,oae,dae,pae,cae,mae,xae,vae,kae,SQ,Sae,Cae,Rae,_ae,Fae,Dae,Lae,Bae,Wae,Uae,jae,Kae,Yae,Qae,tne,nne,ine,one,lne,pne,fne,yne,sQ,Ane,vne];for(let e of kne)yn(e);var N2=V();N2.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});N2.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(N2.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var _y=xl(aS()),wne=xl(nS()),Py=xl(rS()),Fy=_y.default||_y,Ine=Py.default||Py,w8=class extends Al{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(I8),E2=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new kd(this,vt())}write(e,t,a){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,a,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,a,n,r){let s=this.dataIdNextNumber++;if(n==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:a,dtype:n,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(a),o=i*v.bytesPerElement(n),l=this.wasm._malloc(o);this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:a,dtype:n,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,a){let{memoryOffset:n,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(a==null||a>=i.length)?i:i.slice(t,a);t=t||0,a=a||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(n+t*o,n+a*o);return Cne(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let a=this.dataIdMap.get(e);if(a.refCount--,!t&&a.refCount>0)return!1;this.wasm._free(a.memoryOffset),this.wasm.tfjs.disposeData(a.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,a){let n;if(a==null)n=this.write(null,e,t);else{let r=this.dataIdNextNumber++;n={id:r},this.dataIdMap.set(n,{id:r,memoryOffset:a,shape:e,dtype:t,refCount:1});let s=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(r,s,a)}return{dataId:n,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:a}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(a),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(n,r,s);case"int32":return new Int32Array(n,r,s);case"bool":return new Uint8Array(n,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function Sne(e){return(t,a)=>(v.fetch(e,{credentials:"same-origin"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${e}'`),n.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{a(s.instance,s.module)})})}),{})}function Oy(e,t,a){if(Vc!=null)return Vc;let n="tfjs-backend-wasm.wasm";return e&&t?n="tfjs-backend-wasm-threaded-simd.wasm":e&&(n="tfjs-backend-wasm-simd.wasm"),Qu!=null&&Qu[n]!=null?Qu[n]:a+n}async function Tne(){let[e,t]=await Promise.all([V().getAsync("WASM_HAS_SIMD_SUPPORT"),V().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((a,n)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=wne.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?Oy(e,t,Zu!=null?Zu:l):l+o},F3&&(r.instantiateWasm=Sne(Oy(e,t,Zu!=null?Zu:"")));let s=!1;r.onAbort=()=>{s||ed||(ed=!0,n({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&Vc==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+Fy.toString()],{type:"text/javascript"}),i=Fy(r)):i=Ine(r),i.then(o=>{s=!0,ed=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},a({wasm:o})}).catch(n)})}function Cne(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var Nne=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Vc=null,Zu=null,Qu={},ed=!1,F3=!1;function Ene(e,t=!1){if(t1("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),ed)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Vc=e,F3=t}function Fh(e,t=!1){if(ed)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")Zu=e;else{Qu=e;let a=Nne.filter(n=>Qu[n]==null);if(a.length>0)throw new Error(`There were no entries found for the following binaries: ${a.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}F3=t}var I8=-1,E2=-1;function Rne(e){I8=e}function Mne(){if(E2===-1)throw new Error("WASM backend not initialized.");return E2}var $ne="4.2.0",_ne=2;yo("wasm",async()=>{let{wasm:e}=await Tne();return new w8(e)},_ne);var zn=V();zn.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE",()=>15);zn.registerFlag("WEBGPU_CPU_FORWARD",()=>!0);zn.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE",()=>-1);zn.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE",()=>!1);zn.registerFlag("WEBGPU_USE_LOW_POWER_GPU",()=>!1);zn.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e3);zn.registerFlag("WEBGPU_USE_PROFILE_TOOL",()=>!1);zn.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE",()=>!0);zn.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG",()=>!1);zn.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL",()=>0);zn.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER",()=>!1);var Pne=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith("gen"))return Number(this.architecture.match(/\d+/));if(this.architecture.startsWith("xe"))return 12}return 0}isIntel(){return this.vendor==="intel"}},Fne=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireUploadBuffer(e,t){return this.acquireBuffer(e,t,!0)}acquireBuffer(e,t,a=!1){let n=Dy(e,t);if(this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.usedBuffers.has(n)||this.usedBuffers.set(n,[]),this.numBytesUsed+=e,this.numUsedBuffers++,this.freeBuffers.get(n).length>0){this.numFreeBuffers--;let s=this.freeBuffers.get(n).shift();return this.usedBuffers.get(n).push(s),s}this.numBytesAllocated+=e;let r=this.device.createBuffer({size:e,usage:t,mappedAtCreation:a});return this.usedBuffers.get(n).push(r),r}releaseBuffer(e,t,a){if(this.freeBuffers.size===0)return;let n=Dy(t,a);this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.freeBuffers.get(n).push(e),this.numFreeBuffers++,this.numUsedBuffers--;let r=this.usedBuffers.get(n),s=r.indexOf(e);if(s<0)throw new Error("Cannot release a buffer that was never provided by this buffer manager");r.splice(s,1),this.numBytesUsed-=t}releaseUploadBuffer(e,t,a){e.mapAsync(GPUMapMode.WRITE).then(()=>{this.releaseBuffer(e,t,a)},n=>{})}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function Dy(e,t){return`${e}_${t}`}var One=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,a,n){let r=Ly(a),s=e*t*r,i=zy(e,t,a,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=s,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let l=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(l),l}this.numBytesAllocated+=s;let o=this.device.createTexture({size:[e,t],format:a,usage:n});return this.usedTextures.get(i).push(o),o}releaseTexture(e,t,a,n,r){if(this.freeTextures.size===0)return;let s=zy(t,a,n,r);this.freeTextures.has(s)||this.freeTextures.set(s,[]),this.freeTextures.get(s).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(s),o=i.indexOf(e);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(o,1);let l=Ly(n),u=t*a*l;this.numBytesUsed-=u}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function zy(e,t,a,n){return`${e}_${t}_${a}_${n}`}function Ly(e){if(e==="rgba8unorm")return 16;throw new Error(`${e} is not supported!`)}function Dne(e,t){if(Math.max(...e)>3)throw new Error("Cannot symbolically compute strides for rank > 4 tensor.");let a=e.length,n=e.map(s=>`${t}[${s}]`),r=new Array(a-1);r[a-2]=n[a-1];for(let s=a-3;s>=0;--s)r[s]=`(${r[s+1]} * ${n[s+1]})`;return r}var O3=(e,t,a)=>a==="int32"?`atomicAdd(${e}, bitcast(${t}));`:` + ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(n.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=n.shape[0],p=v.sizeFromShape(s.shape),c=t.makeOutput([u,p],n.dtype),d=t.dataIdMap.get(c.dataId).id,h=t.makeOutput([p],s.dtype),f=t.dataIdMap.get(h.dataId).id,m=t.makeOutput([3],"int32"),g=t.dataIdMap.get(m.dataId).id;$w(i,o,l,u,d,f,g);let y=t.readSync(m.dataId),x;switch(y[0]){case 0:{x=S.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{x=S.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:x=S.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let A=Array.from(t.readSync(r.dataId)),b=Array.from(t.readSync(h.dataId));x=S.getSparseReshapeInputOutputMultipleErrorMessage(A,b);break}case 4:{let A=Array.from(t.readSync(r.dataId)),b=Array.from(t.readSync(h.dataId));x=S.getSparseReshapeInputOutputMismatchErrorMessage(A,b);break}default:x=""}if(t.disposeData(m.dataId),x)throw t.disposeData(c.dataId),t.disposeData(h.dataId),new Error(x);return[c,h]}var qse={kernelName:Nu,backendName:"wasm",setupFunc:Hse,kernelFunc:jse},Dw;function Pw(e){Dw=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function Ow(e,t){let{backend:a,inputs:n}=e,{data:r,indices:s,segmentIds:i}=n,o=s.shape[0],l=a.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let c=a.dataIdMap.get(r.dataId).id,d=a.dataIdMap.get(s.dataId).id,h=a.dataIdMap.get(i.dataId).id,f=a.makeOutput(p,r.dtype),m=a.dataIdMap.get(f.dataId).id,g=a.makeOutput([4],"int32"),y=a.dataIdMap.get(g.dataId).id;Dw(c,nt[r.dtype],r.shape[0],d,h,m,y,t,0);let x=a.readSync(g.dataId),A;switch(x[0]){case 0:{A=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{A=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:A=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(x[1],x[2]);break;case 3:A=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(x[1],x[2],x[3]);break;default:A=""}if(a.disposeData(g.dataId),A)throw a.disposeData(f.dataId),new Error(A);return f}function Xse(e){return Ow(e,!0)}var Kse={kernelName:fp,backendName:"wasm",setupFunc:Pw,kernelFunc:Xse};function Yse(e){return Ow(e,!1)}var Zse={kernelName:mp,backendName:"wasm",setupFunc:Pw,kernelFunc:Yse},zw;function Jse(e){zw=e.wasm.cwrap(Do,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Qse(e){let{backend:t,inputs:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=a,{outputShape:o}=n,l=t.makeOutput(o,i.dtype);if(v.sizeFromShape(o)===0)return l;let{sliceRank:u,numUpdates:p,sliceSize:c,strides:d,outputSize:h}=S.calculateShapes(s,r,o),f=t.dataIdMap.get(r.dataId).id,m=t.dataIdMap.get(s.dataId).id,g=t.dataIdMap.get(i.dataId).id,y=new Uint8Array(new Int32Array(d).buffer),x=t.dataIdMap.get(l.dataId).id;return zw(f,m,s.shape.length,g,nt[i.dtype],u,p,c,y,h,x),l}var eie={kernelName:Do,backendName:"wasm",setupFunc:Jse,kernelFunc:Qse};function tie(e){let{inputs:t,attrs:a,backend:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=S.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(c=>{let d=[...p];d[o]=c;let h=Zs({inputs:{x:r},attrs:{begin:u,size:d},backend:n});return u[o]+=c,h})}var aie={kernelName:Tu,backendName:"wasm",kernelFunc:tie},nie=at(Fo),rie=at(gp),sie=!0,iie=ea(Po,sie),Lw;function oie(e){Lw=e.wasm.cwrap(is,null,["number","number","number","number"])}function lie(e){let{backend:t,inputs:a,attrs:n}=e,{alpha:r}=n,{x:s}=a,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return Lw(i,r,nt[s.dtype],l),o}var uie={kernelName:is,backendName:"wasm",setupFunc:oie,kernelFunc:lie},Ww;function die(e){Ww=e.wasm.cwrap(Oo,null,["number","array","number","array","array","array","array","array","number","number"])}function pie(e){let{backend:t,inputs:a,attrs:n}=e,{x:r}=a,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=Nt.sliceInfo(r.shape,s,i,o,l,u,p,c,d),w;if(m)w=Ba({inputs:{x:r},backend:t,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=Nt.computeOutShape(x,A,b),T=Zs({inputs:{x:r},backend:t,attrs:{begin:x,size:C}});w=Ba({inputs:{x:T},backend:t,attrs:{shape:f}}),t.disposeData(T.dataId)}else{let C=t.makeOutput(h,"float32"),T=t.dataIdMap.get(r.dataId).id,N=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),M=new Uint8Array(new Int32Array(x).buffer),F=new Uint8Array(new Int32Array(A).buffer),E=new Uint8Array(new Int32Array(b).buffer),I=new Uint8Array(new Int32Array(h).buffer),_=new Uint8Array(new Int32Array(v.computeStrides(h)).buffer),O=t.dataIdMap.get(C.dataId).id;Ww(T,N,r.shape.length,M,F,E,I,_,h.length,O),w=Ba({inputs:{x:C},backend:t,attrs:{shape:f}}),t.disposeData(C.dataId)}return w}var cie={kernelName:Oo,backendName:"wasm",setupFunc:die,kernelFunc:pie};function hie(e){let{backend:t,inputs:a,attrs:n}=e,{data:r,dataSplits:s}=a,{separator:i,nGramWidths:o,leftPad:l,rightPad:u,padWidth:p,preserveShortSequences:c}=n,d=t.readSync(r.dataId),h=t.readSync(s.dataId),[f,m]=rg(d,h,i,o,l,u,p,c),g=t.makeOutput([f.length],"string"),y=t.dataIdMap.get(g.dataId);y.stringBytes=f;let x=t.makeOutput(s.shape,"int32");return t.typedArrayFromHeap(x).set(m),[g,x]}var fie={kernelName:Ru,backendName:"wasm",kernelFunc:hie};function mie(e){let{backend:t,inputs:a,attrs:n}=e,{input:r,delimiter:s}=a,{skipEmpty:i}=n,o=t.readSync(r.dataId),l=t.readSync(s.dataId),[u,p,c]=sg(o,l[0],i),d=p.length,h=t.makeOutput([d,2],"int32");t.typedArrayFromHeap(h).set(u);let f=t.makeOutput([d],"string"),m=t.dataIdMap.get(f.dataId);m.stringBytes=p;let g=t.makeOutput([2],"int32");return t.typedArrayFromHeap(g).set(c),[h,f,g]}var gie={kernelName:xp,backendName:"wasm",kernelFunc:mie};function yie(e){let{backend:t,inputs:a,attrs:n}=e,{input:r}=a,{numBuckets:s}=n,i=t.readSync(r.dataId),o=ig(i,s),l=t.makeOutput(r.shape,"int32");return t.typedArrayFromHeap(l).set(o),l}var xie={kernelName:Ap,backendName:"wasm",kernelFunc:yie},Aie=!0,bie=ea(zo,Aie),Bw;function vie(e){Bw=e.wasm.cwrap(_o,null,["number","number","number","number"])}function wie(e){let{backend:t,inputs:a,attrs:n}=e,{axis:r,keepDims:s}=n,{x:i}=a,o=t.dataIdMap.get(i.dataId).id,l=o,u=i,{transposed:p,axes:c,originalAxes:d,inputWasTransposed:h}=ps(i,r,t),f=c;if(h){let A=t.dataIdMap.get(p.dataId).id;A!==o&&(u=p,l=A,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("sum",f,u.shape.length);let[m,g]=S.computeOutAndReduceShapes(u.shape,f),y=v.sizeFromShape(g),x=t.makeOutput(m,u.dtype);if(v.sizeFromShape(u.shape)!==0){let A=t.dataIdMap.get(x.dataId).id;Bw(l,y,nt[x.dtype],A)}if(h&&t.disposeData(p.dataId),s){let A=S.expandShapeToKeepDim(x.shape,d);x.shape=A}return x}var kie={kernelName:_o,backendName:"wasm",setupFunc:vie,kernelFunc:wie},Iie=at(Lo),Sie=at(Wo),Vw;function Cie(e){Vw=e.wasm.cwrap(So,null,["number","number","number","number","number","number","array","number","number","number"])}function Tie(e){let{backend:t,inputs:a,attrs:n}=e,{tensor:r,indices:s,updates:i}=a,{}=n,o=t.makeOutput(r.shape,r.dtype);if(v.sizeFromShape(r.shape)===0)return o;let{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=Wh.calculateShapes(i,s,r.shape),h=t.dataIdMap.get(s.dataId).id,f=t.dataIdMap.get(i.dataId).id,m=t.dataIdMap.get(r.dataId).id,g=new Uint8Array(new Int32Array(c).buffer),y=t.dataIdMap.get(o.dataId).id;return Vw(h,f,nt[i.dtype],l,u,p,g,d,y,m),o}var Nie={kernelName:So,backendName:"wasm",setupFunc:Cie,kernelFunc:Tie},Uw;function Rie(e){Uw=e.wasm.cwrap(ss,null,["number","array","number","array","number","number"])}function Eie(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,s=a.dataIdMap.get(r.dataId).id,{reps:i}=n,o=new Array(r.shape.length);for(let d=0;d{let{x:n}=e,{k:r,sorted:s}=a,i=t.dataIdMap.get(n.dataId).id,o=new Uint8Array(new Int32Array(n.shape).buffer),l=n.shape.slice();l[l.length-1]=r;let u=t.makeOutput(l,n.dtype),p=t.dataIdMap.get(u.dataId).id,c=t.makeOutput(l,"int32"),d=t.dataIdMap.get(c.dataId).id;return Gw(i,o,n.shape.length,nt[n.dtype],r,s,p,d),[u,c]},$ie={kernelName:Bo,backendName:"wasm",setupFunc:Fie,kernelFunc:_ie},Hw;function Die(e){Hw=e.wasm.cwrap(Vo,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Pie(e){let{backend:t,inputs:a,attrs:n}=e,{image:r,transforms:s}=a,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new Uint8Array(new Int32Array(v.computeStrides(r.shape)).buffer),x=new Uint8Array(new Int32Array(v.computeStrides(g)).buffer),A=t.makeOutput(g,r.dtype),b=t.dataIdMap.get(A.dataId).id,w=t.dataIdMap.get(r.dataId).id,C=t.dataIdMap.get(s.dataId).id,T=i==="nearest"?1:2,N;switch(o){case"constant":N=1;break;case"reflect":N=2;break;case"wrap":N=3;break;case"nearest":N=4;break;default:N=1;break}return Hw(w,C,s.shape[0]>1,p,f,m,h,d,c,y,r.shape.length-1,x,g.length-1,T,N,l,b),A}var Oie={kernelName:Vo,backendName:"wasm",setupFunc:Die,kernelFunc:Pie};function zie(e){let{inputs:t,attrs:a,backend:n}=e,{axis:r}=a,{x:s}=t,{outputValues:i,outputShape:o,indices:l}=lg(n.readSync(s.dataId),r,s.shape,s.dtype);return[n.makeOutput(o,s.dtype,void 0,i),n.makeOutput([l.length],"int32",void 0,l)]}var Lie={kernelName:bp,backendName:"wasm",kernelFunc:zie};function Wie(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r.shape[s],o=r.shape.length,l=new Array(o-1),u=0;for(let h=0;h({dataId:h,dtype:f,shape:l}))}var Bie={kernelName:Eu,backendName:"wasm",kernelFunc:Wie};function Vie(e){let{inputs:{x:t},backend:a}=e,n=a.makeOutput(t.shape,t.dtype);return a.typedArrayFromHeap(n).fill(0),n}var Uie={kernelName:Mu,backendName:"wasm",kernelFunc:Vie},Gie=[Lee,Wee,Bee,Vee,Gee,qee,tte,rte,ste,ite,ote,lte,ute,dte,pte,fte,yte,bte,Ite,Ete,_te,Dte,Pte,Ote,Wte,Bte,Gte,qte,Yte,Qte,aae,nae,rae,oae,dae,hae,gae,Aae,wae,Sae,Nae,Mae,$ae,Dae,zae,Wae,Bae,Vae,Uae,Gae,qae,Xae,Yae,Qae,ane,sne,lne,pne,hne,mne,Xee,gne,yne,xne,vne,kne,Sne,Nne,Ene,Rne,Fne,_ne,Dne,One,Wne,Une,jne,Xne,Zne,ere,nre,ire,ure,pre,fre,Are,vre,wre,Sre,Nre,Mre,_re,Pre,zre,Wre,bw,Gre,qre,Yre,Jre,ese,tse,ase,nse,vte,ise,use,cse,mse,xse,vse,wse,kse,Cse,Rse,Fse,_se,Pse,Ose,zse,Nte,gre,Lse,Bse,Gse,qse,Kse,Zse,eie,aie,nie,rie,iie,uie,cie,fie,gie,xie,bie,kie,Iie,Sie,Nie,Mie,$ie,Oie,Jee,Lie,Bie,Uie];for(let e of Gie)yn(e);var M1=W();M1.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(e){return!1}});M1.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(M1.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(e){return!1}});var Tx=Xl(wC()),Hie=Xl(kC()),Nx=Xl(IC()),Rx=Tx.default||Tx,jie=Nx.default||Nx,jw=class extends Kl{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(qw),F1=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Zd(this,It())}write(e,t,a){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,a,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}move(e,t,a,n,r){let s=this.dataIdNextNumber++;if(n==="string"){let u=t;this.dataIdMap.set(e,{id:s,stringBytes:u,shape:a,dtype:n,memoryOffset:null,refCount:r});return}let i=v.sizeFromShape(a),o=i*v.bytesPerElement(n),l=this.wasm._malloc(o)>>>0;this.dataIdMap.set(e,{id:s,memoryOffset:l,shape:a,dtype:n,refCount:r}),this.wasm.tfjs.registerTensor(s,i,l),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,o),l)}async read(e){return this.readSync(e)}readSync(e,t,a){let{memoryOffset:n,dtype:r,shape:s,stringBytes:i}=this.dataIdMap.get(e);if(r==="string")return(t==null||t===0)&&(a==null||a>=i.length)?i:i.slice(t,a);t=t||0,a=a||v.sizeFromShape(s);let o=v.bytesPerElement(r),l=this.wasm.HEAPU8.slice(n+t*o,n+a*o);return Kie(l.buffer,r)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let a=this.dataIdMap.get(e);if(a.refCount--,!t&&a.refCount>0)return!1;this.wasm._free(a.memoryOffset),this.wasm.tfjs.disposeData(a.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,a,n){let r;if(a==null)r=this.write(n!=null?n:null,e,t);else{let s=this.dataIdNextNumber++;r={id:s},this.dataIdMap.set(r,{id:s,memoryOffset:a,shape:e,dtype:t,refCount:1});let i=v.sizeFromShape(e);this.wasm.tfjs.registerTensor(s,i,a)}return{dataId:r,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:a}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:r}=this.dataIdMap.get(a),s=v.sizeFromShape(e);switch(t){case"float32":return new Float32Array(n,r,s);case"int32":return new Int32Array(n,r,s);case"bool":return new Uint8Array(n,r,s);default:throw new Error(`Unknown dtype ${t}`)}}};function qie(e){return(t,a)=>(v.fetch(e,{credentials:"same-origin"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${e}'`),n.arrayBuffer().then(r=>{WebAssembly.instantiate(r,t).then(s=>{a(s.instance,s.module)})})}),{})}function Ex(e,t,a){if(yh!=null)return yh;let n="tfjs-backend-wasm.wasm";return e&&t?n="tfjs-backend-wasm-threaded-simd.wasm":e&&(n="tfjs-backend-wasm-simd.wasm"),Cd!=null&&Cd[n]!=null?Cd[n]:a+n}async function Xie(){let[e,t]=await Promise.all([W().getAsync("WASM_HAS_SIMD_SUPPORT"),W().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((a,n)=>{let r={};r.locateFile=(o,l)=>{if(o.endsWith(".worker.js")){let u=Hie.wasmWorkerContents.replace(/\n/g,"\\n"),p=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(p)}return o.endsWith(".wasm")?Ex(e,t,kd!=null?kd:l):l+o},Ng&&(r.instantiateWasm=qie(Ex(e,t,kd!=null?kd:"")));let s=!1;r.onAbort=()=>{s||Td||(Td=!0,n({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"}))};let i;t&&e&&yh==null?(r.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+Rx.toString()],{type:"text/javascript"}),i=Rx(r)):i=jie(r),i.then(o=>{s=!0,Td=!1;let l=null;o.tfjs={init:o.cwrap("init",null,[]),initWithThreadsCount:o.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:o.cwrap("get_threads_count","number",[]),registerTensor:o.cwrap("register_tensor",null,["number","number","number"]),disposeData:o.cwrap("dispose_data",l,["number"]),dispose:o.cwrap("dispose",l,[])},a({wasm:o})}).catch(n)})}function Kie(e,t){switch(t){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${t}`)}}var Yie=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],yh=null,kd=null,Cd={},Td=!1,Ng=!1;function Zie(e,t=!1){if(Y1("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Td)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");yh=e,Ng=t}function n0(e,t=!1){if(Td)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof e=="string")kd=e;else{Cd=e;let a=Yie.filter(n=>Cd[n]==null);if(a.length>0)throw new Error(`There were no entries found for the following binaries: ${a.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}Ng=t}var qw=-1,F1=-1;function Jie(e){qw=e}function Qie(){if(F1===-1)throw new Error("WASM backend not initialized.");return F1}var eoe="4.5.0",toe=2;Go("wasm",async()=>{let{wasm:e}=await Xie();return new jw(e)},toe);var En=W();En.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE",()=>15);En.registerFlag("WEBGPU_CPU_FORWARD",()=>!0);En.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE",()=>-1);En.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE",()=>!0);En.registerFlag("WEBGPU_USE_LOW_POWER_GPU",()=>!1);En.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e3);En.registerFlag("WEBGPU_USE_PROFILE_TOOL",()=>!1);En.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE",()=>!0);En.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG",()=>!1);En.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL",()=>0);En.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER",()=>!1);En.registerFlag("WEBGPU_PRINT_SHADER",()=>"");var aoe=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith("gen"))return Number(this.architecture.match(/\d+/));if(this.architecture.startsWith("xe"))return 12}return 0}isIntel(){return this.vendor==="intel"}},noe=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireBuffer(e,t,a=!1,n=!0){let r,s=Mx(e,t);return n?(this.freeBuffers.has(s)||this.freeBuffers.set(s,[]),this.freeBuffers.get(s).length>0?(r=this.freeBuffers.get(s).pop(),this.numFreeBuffers--):(r=this.device.createBuffer({size:e,usage:t,mappedAtCreation:a}),this.numBytesAllocated+=e)):(r=this.device.createBuffer({size:e,usage:t,mappedAtCreation:a}),this.numBytesAllocated+=e),this.usedBuffers.has(s)||this.usedBuffers.set(s,[]),this.usedBuffers.get(s).push(r),this.numUsedBuffers++,this.numBytesUsed+=e,r}releaseBuffer(e,t,a,n=!0){if(this.freeBuffers.size===0)return;let r=Mx(t,a),s=this.usedBuffers.get(r),i=s.indexOf(e);if(i<0)throw new Error("Cannot find the buffer in buffer manager");s[i]=s[s.length-1],s.pop(),this.numUsedBuffers--,this.numBytesUsed-=t,n?(this.freeBuffers.get(r).push(e),this.numFreeBuffers++):(e.destroy(),this.numBytesAllocated-=t)}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function Mx(e,t){return`${e}_${t}`}var roe=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,a,n){let r=_x(a),s=e*t*r,i=Fx(e,t,a,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=s,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let l=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(l),l}this.numBytesAllocated+=s;let o=this.device.createTexture({size:[e,t],format:a,usage:n});return this.usedTextures.get(i).push(o),o}releaseTexture(e,t,a,n,r){if(this.freeTextures.size===0)return;let s=Fx(t,a,n,r);this.freeTextures.has(s)||this.freeTextures.set(s,[]),this.freeTextures.get(s).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(s),o=i.indexOf(e);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(o,1);let l=_x(n),u=t*a*l;this.numBytesUsed-=u}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(a=>{a.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function Fx(e,t,a,n){return`${e}_${t}_${a}_${n}`}function _x(e){if(e==="rgba8unorm")return 16;throw new Error(`${e} is not supported!`)}function soe(e,t){if(Math.max(...e)>5)throw new Error("Cannot symbolically compute strides for rank > 6 tensor.");let a=e.length,n="xyzwuv",r=e.map(i=>`${t}.${n[i]}`),s=new Array(a-1);s[a-2]=r[a-1];for(let i=a-3;i>=0;--i)s[i]=`(${s[i+1]} * ${r[i+1]})`;return s}var Gu=(e,t,a)=>a==="int32"?`atomicAdd(${e}, bitcast(${t}));`:` { var oldValue = 0; loop { @@ -4882,12 +4998,12 @@ return a / b;`,jK=` } oldValue = res.old_value; } - }`,zne=(e,t,a,n)=>{let r={dtype:n.dtype,shape:n.shape},s=Bne(a,r,t),i=e.createShaderModule({code:s,label:t.constructor.name});return e.createComputePipeline({compute:{module:i,entryPoint:"_start"},label:t.constructor.name,layout:"auto"})};function la(e){if(e<=1)return"i32";if(e===2)return"vec2";if(e===3)return"vec3";if(e===4)return"vec4";if(e===5)return"vec5";if(e===6)return"vec6";throw Error(`GPU for rank ${e} is not yet supported`)}function br(e){if(e===0)return"x";if(e===1)return"y";if(e===2)return"z";if(e===3)return"w";if(e===4)return"u";if(e===5)return"v";throw Error(`Index ${e} is not yet supported`)}function ke(...e){let t;switch(e.length){case 0:t=` + }`,ioe=(e,t,a,n,r)=>{let s={dtype:n.dtype,shape:n.shape},i=loe(a,s,t),o=e.createShaderModule({code:i,label:t.constructor.name}),l=e.createComputePipeline({compute:{module:o,entryPoint:"_start"},label:t.constructor.name,layout:"auto"}),u=W().get("WEBGPU_PRINT_SHADER");if(u!==""){u=u.toLowerCase();let p=u.split(",");(u==="all"||p.some(c=>r.toLowerCase().includes(c)))&&(console.group(r),console.debug(i),console.groupEnd())}return l},Xe=(e,t="f32")=>{switch(e){case 1:return`${t}`;case 2:return`vec2<${t}>`;case 3:return`vec3<${t}>`;case 4:return`vec4<${t}>`;default:throw new Error(`${e}-component ${t} is not supported.`)}};function Jt(e){if(e<=1)return"i32";if(e===2)return"vec2";if(e===3)return"vec3";if(e===4)return"vec4";if(e===5)return"vec5";if(e===6)return"vec6";throw Error(`GPU for rank ${e} is not yet supported`)}function Ir(e){if(e===0)return"x";if(e===1)return"y";if(e===2)return"z";if(e===3)return"w";if(e===4)return"u";if(e===5)return"v";throw Error(`Index ${e} is not yet supported`)}function de(...e){let t;switch(e.length){case 0:t=` fn main() `;break;case 1:t=` fn main(${e[0]} : i32) - `;break;default:throw Error("Unreachable")}return t}function By(e,t){let a;return a=` - ${Lne(t)} + `;break;default:throw Error("Unreachable")}return t}function $x(e,t){let a;return a=` + ${ooe(t)} fn _start(@builtin(local_invocation_id) LocalId : vec3, @builtin(global_invocation_id) GlobalId : vec3, @builtin(local_invocation_index) LocalIndex: u32, @@ -4900,9 +5016,9 @@ return a / b;`,jK=` workgroupId = WorkgroupId; ${e?"main(getGlobalIndex());":"main();"}; } - `,a}function Lne(e){return` + `,a}function ooe(e){return` @compute @workgroup_size(${e.workgroupSize[0]}, ${e.workgroupSize[1]}, ${e.workgroupSize[2]}) -`}function Bne(e,t,a){let n=[],r=a.workgroupSize[0]*a.workgroupSize[1]*a.workgroupSize[2];if(n.push(` +`}function loe(e,t,a){let n=[],r=a.workgroupSize[0]*a.workgroupSize[1]*a.workgroupSize[2];if(a.outputComponent=a.outputComponent?a.outputComponent:1,n.push(` var localId: vec3; var localIndex: u32; @@ -4912,7 +5028,7 @@ return a / b;`,jK=` // Only used when the y/z dimension of workgroup size is 1. fn getGlobalIndex() -> i32 { - ${S8(a)?" return i32(globalId.x);":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + + ${Xw(a)?" return i32(globalId.x);":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + workgroupId.y * numWorkgroups.x + workgroupId.x) * ${r}u + localIndex); `} @@ -4924,23 +5040,23 @@ return a / b;`,jK=` outShapeStrides : vec2, }; - @group(0) @binding(0) var result: array<${td(t.dtype,a.isVec4)}>; + @group(0) @binding(0) var result: array<${Nl(t.dtype,a.outputComponent)}>; @group(0) @binding(2) var uniforms: Uniform; - `);let h=Uy(a);return[Wy,n.join(` -`),Vy(t.shape),a.getUserCode(),By(h,a)].join(` -`)}let s="struct Uniforms { NAN : f32, INFINITY : f32, ";a.variableNames.forEach((h,f)=>{let m=la(e[f].shape.length);s+=`${h.charAt(0).toLowerCase()+h.slice(1)}Shape : ${m}, `});let i=la(t.shape.length);s+=`outShape : ${i}, `;let o=t.shape.length-1,l=la(o);s+=` - outShapeStrides: ${l}, `,a.size&&(s+="size : i32, "),a.uniforms&&(s+=a.uniforms),s+="};",s=Kne(s),n.push(s),a.atomic?n.push(` + `);let h=Px(a);return[Dx,n.join(` +`),V2(t.shape),a.getUserCode(),$x(h,a)].join(` +`)}let s,i,o="struct Uniforms { NAN : f32, INFINITY : f32, ";a.variableNames.forEach((h,f)=>{let m=Jt(e[f].shape.length);o+=`${h.charAt(0).toLowerCase()+h.slice(1)}Shape : ${m}, `,s=e[f].shape.length-1,i=Jt(s),o+=`${h.charAt(0).toLowerCase()+h.slice(1)}ShapeStrides: ${i}, `});let l=Jt(t.shape.length);o+=`outShape : ${l}, `,s=t.shape.length-1,i=Jt(s),o+=` + outShapeStrides: ${i}, `,a.size&&(o+="size : i32, "),a.uniforms&&(o+=a.uniforms),o+="};",o=yoe(o),n.push(o),a.atomic?n.push(` @group(0) @binding(0) var result: array>; `):n.push(` - @group(0) @binding(0) var result: array<${td(t.dtype,a.isVec4)}>; + @group(0) @binding(0) var result: array<${Nl(t.dtype,a.outputComponent)}>; `),a.variableNames.forEach((h,f)=>{n.push(` - @group(0) @binding(${1+f}) var ${h}: array<${a.variableTypes?a.variableTypes[f]:td(e[f].dtype,a.isVec4)}>; - `)}),s!==""&&n.push(` + @group(0) @binding(${1+f}) var ${h}: array<${a.variableComponents?Nl(e[f].dtype,a.variableComponents[f]):Nl(e[f].dtype,a.outputComponent)}>; + `)}),o!==""&&n.push(` @group(0) @binding(${1+a.variableNames.length}) var uniforms: Uniforms; - `);let u=jne(t.shape,a.dispatchLayout),p=[Wy,n.join(` -`)+Vne,Vy(t.shape),u,qne(t.shape.length)];a.atomic||p.push(Xne(t.shape,t.dtype,a.isVec4));let c=e.map((h,f)=>Hne(h,t.shape,a.variableTypes?a.variableTypes[f]==="vec4":a.isVec4,a.dispatchLayout.x.length===t.shape.length)).join(` -`);p.push(c),p.push(a.getUserCode());let d=Uy(a);return p.push(By(d,a)),p.join(` -`)}function Wne(e,t,a,n){let r=e.shaderKey;if(e.isFromPixels)return r;let s=a.map(p=>p.dtype).concat(n.dtype),i=a.map(p=>T.getBroadcastDims(p.shape,n.shape)),o=a.map(p=>v.arraysEqual(p.shape,n.shape)).join("_"),l=i.map(p=>p.join("_")).join(";"),u=S8(e)?"flatDispatch":"";return r+="_"+(e.workgroupSize?e.workgroupSize.join(","):"")+t.map(p=>p.length).join(",")+s.join(",")+e.variableNames.join(",")+l+o+u,r}var Wy=` + `);let u=foe(t.shape,a.dispatchLayout),p=[Dx,n.join(` +`)+doe,V2(t.shape),u,moe(t.shape.length)];a.atomic||p.push(goe(t.shape,t.dtype,a.outputComponent)),a.variableNames.forEach((h,f)=>{p.push(`${V2(e[f].shape,h)}`)});let c=e.map((h,f)=>hoe(h,t.shape,a.variableComponents?a.variableComponents[f]:a.outputComponent,a.dispatchLayout.x.length===t.shape.length)).join(` +`);p.push(c),p.push(a.getUserCode());let d=Px(a);return p.push($x(d,a)),p.join(` +`)}function uoe(e,t,a,n){let r=e.shaderKey;if(e.isFromPixels)return r;let s=a.map(p=>p.dtype).concat(n.dtype),i=a.map(p=>S.getBroadcastDims(p.shape,n.shape)),o=a.map(p=>v.arraysEqual(p.shape,n.shape)).join("_"),l=i.map(p=>p.join("_")).join(";"),u=Xw(e)?"flatDispatch":"";return r+="_"+(e.workgroupSize?e.workgroupSize.join(","):"")+t.map(p=>p.length).join(",")+s.join(",")+e.variableNames.join(",")+l+o+u,r}var Dx=` struct vec5 {x: i32, y: i32, z: i32, w: i32, u: i32}; struct vec6 {x: i32, y: i32, z: i32, w: i32, u: i32, v: i32}; @@ -4999,100 +5115,63 @@ return a / b;`,jK=` let floatToUint: vec4 = bitcast>(val); return (floatToUint & vec4(0x7fffffffu)) > vec4(0x7f800000u); } -`,Vne=` +`,doe=` fn isinf(val: f32) -> bool { return abs(val) == uniforms.INFINITY; } -`;function Vy(e){let t=e.length;if(t<=1)return"fn getCoordsFromIndex(index : i32) -> i32 { return index; }";let a=v.computeStrides(e),n=la(t),r=[];for(let i=0;i vec2 { - let d0 = index / uniforms.outShapeStrides; let d1 = index - d0 * uniforms.outShapeStrides; +`;function V2(e,t=""){let a=e.length,n=t!==""?`get${t.charAt(0).toUpperCase()+t.slice(1)}CoordsFromIndex`:"getCoordsFromIndex",r=t!==""?`${t.charAt(0).toLowerCase()+t.slice(1)}ShapeStrides`:"outShapeStrides";if(a<=1)return`fn ${n}(index : i32) -> i32 { return index; }`;let s=v.computeStrides(e),i=Jt(a),o=[];for(let u=0;u vec2 { + let d0 = index / uniforms.${r}; let d1 = index - d0 * uniforms.${r}; return vec2(d0, d1); - }`;let s;return s="var index2 = index;"+a.map((i,o)=>{let l=`let ${r[o]} = index2 / uniforms.outShapeStrides.${br(o)}`,u=o===a.length-1?`let ${r[o+1]} = index2 - ${r[o]} * uniforms.outShapeStrides.${br(o)}`:`index2 = index2 - ${r[o]} * uniforms.outShapeStrides.${br(o)}`;return`${l}; ${u};`}).join(""),` - fn getCoordsFromIndex(index : i32) -> ${n} { - ${s} - return ${n}(${r.join(",")}); + }`;let l;return l="var index2 = index;"+s.map((u,p)=>{let c=`let ${o[p]} = index2 / uniforms.${r}.${Ir(p)}`,d=p===s.length-1?`let ${o[p+1]} = index2 - ${o[p]} * uniforms.${r}.${Ir(p)}`:`index2 = index2 - ${o[p]} * uniforms.${r}.${Ir(p)}`;return`${c}; ${d};`}).join(""),` + fn ${n}(index : i32) -> ${i} { + ${l} + return ${i}(${o.join(",")}); } - `}function Une(e,t){let a=e.name,n=e.shape.length,r=la(n),s="get"+a.charAt(0).toUpperCase()+a.slice(1),i=["d0","d1","d2","d3","d4","d5"].slice(0,n),o=i.map(p=>`${p} : i32`).join(", ");if(n<1)return t?` - fn ${s}() -> vec4 { - return vec4(${a}[0]); - } - `:` - fn ${s}() ->f32 { - return f32(${a}[0]); + `}function poe(e,t){let a=e.name,n=e.shape.length,r=Jt(n),s="get"+a.charAt(0).toUpperCase()+a.slice(1),i=["d0","d1","d2","d3","d4","d5"].slice(0,n),o=i.map(p=>`${p} : i32`).join(", ");if(n<1)return` + fn ${s}() -> ${Xe(t)} { + return ${Xe(t)}(${a}[0]); } - `;let l=`uniforms.${a.charAt(0).toLowerCase()+a.slice(1)}Shape`,u=`${n}D`;return n===0&&(u="1D"),t?` - fn ${s}(${o}) -> vec4 { - return vec4(${a}[getIndexFromCoords${u}(${r}(${i.join(",")}), - ${l}) / 4]); - } - `:` - fn ${s}(${o}) -> f32 { - return f32(${a}[getIndexFromCoords${u}(${r}(${i.join(",")}), - ${l})]); + `;let l=`uniforms.${a.charAt(0).toLowerCase()+a.slice(1)}Shape`,u=`${n}D`;return n===0&&(u="1D"),` + fn ${s}(${o}) -> ${Xe(t)} { + return ${Xe(t)}(${a}[getIndexFromCoords${u}(${r}(${i.join(",")}), + ${l})${t===1?"":` / ${t}`}]); } - `}function Gne(e,t,a,n){let r=e.name,s=r.charAt(0).toUpperCase()+r.slice(1),i="get"+s+"ByOutput",o=e.shape.length,l=t.length,u=la(l);if(v.arraysEqual(e.shape,t)&&n)return a?` - fn ${i}Index(globalIndex : i32) -> vec4 { - return vec4(${r}[globalIndex]); - } - - fn ${i}Coords(coords : ${u}) -> vec4 { - return vec4(${r}[${l>1?"getOutputIndexFromCoords(coords)":"coords"} / 4]); - } - `:` - fn ${i}Index(globalIndex : i32) -> f32 { - return f32(${r}[globalIndex]); + `}function coe(e,t,a,n){let r=e.name,s=r.charAt(0).toUpperCase()+r.slice(1),i="get"+s+"ByOutput",o=e.shape.length,l=t.length,u=Jt(l);if(v.arraysEqual(e.shape,t)&&n)return` + fn ${i}Index(globalIndex : i32) -> ${Xe(a)} { + return ${Xe(a)}(${r}[globalIndex]); } - fn ${i}Coords(coords : ${u}) -> f32 { - return f32(${r}[${l>1?"getOutputIndexFromCoords(coords)":"coords"}]); + fn ${i}Coords(coords : ${u}) -> ${Xe(a)} { + return ${Xe(a)}(${r}[${l>1?"getOutputIndexFromCoords(coords)":"coords"}${a===1?"":` / ${a}`}]); } - `;let p=T.getBroadcastDims(e.shape,t),c=l-o,d="";if(o===0)return a?` - fn ${i}Index(globalIndex : i32) -> vec4 { + `;let p=S.getBroadcastDims(e.shape,t),c=l-o,d="";if(o===0)return` + fn ${i}Index(globalIndex : i32) -> ${Xe(a)}{ return get${s}(); } - fn ${i}Coords(coords : ${u}) -> vec4 { + fn ${i}Coords(coords : ${u}) -> ${Xe(a)}{ return get${s}(); } - `:` - fn ${i}Index(globalIndex : i32) -> f32{ - return get${s}(); - } - - fn ${i}Coords(coords : ${u}) -> f32{ - return get${s}(); - } - `;l<2&&p.length>=1?d="coords = 0;":d=p.map(g=>`coords.${br(g+c)} = 0;`).join(` -`);let h="";if(l<2&&o>0)h="coords";else if(l>1){let g=la(o),y=e.shape.map((x,A)=>`coords.${br(A+c)}`).join(", ");h=`${g}(${y})`}else h="coords";let f=`uniforms.${r.charAt(0).toLowerCase()+r.slice(1)}Shape`,m=`${o}D`;return a?` - fn ${i}Index(globalIndex : i32) -> vec4 { - var coords = getCoordsFromIndex(globalIndex); - ${d} - return ${r}[getIndexFromCoords${m}(${h}, ${f}) / 4]; - } - - fn ${i}Coords(coordsIn : ${u}) -> vec4 { - var coords = coordsIn; - ${d} - return ${r}[getIndexFromCoords${m}(${h}, ${f}) / 4]; - } - `:` - fn ${i}Index(globalIndex : i32) -> f32 { + `;l<2&&p.length>=1?d="coords = 0;":d=p.map(g=>`coords.${Ir(g+c)} = 0;`).join(` +`);let h="";if(l<2&&o>0)h="coords";else if(l>1){let g=Jt(o),y=e.shape.map((x,A)=>`coords.${Ir(A+c)}`).join(", ");h=`${g}(${y})`}else h="coords";let f=`uniforms.${r.charAt(0).toLowerCase()+r.slice(1)}Shape`,m=`${o}D`;return` + fn ${i}Index(globalIndex : i32) -> ${Xe(a)} { var coords = getCoordsFromIndex(globalIndex); ${d} - return f32(${r}[getIndexFromCoords${m}(${h}, ${f})]); + return ${Xe(a)}(${r}[getIndexFromCoords${m}(${h}, ${f})${a===1?"":` / ${a}`}]); } - fn ${i}Coords(coordsIn : ${u}) -> f32 { + fn ${i}Coords(coordsIn : ${u}) -> ${Xe(a)} { var coords = coordsIn; ${d} - return f32(${r}[getIndexFromCoords${m}(${h}, ${f})]); + return ${Xe(a)}(${r}[getIndexFromCoords${m}(${h}, ${f})${a===1?"":` / ${a}`}]); } -`}function Hne(e,t,a,n){let r=Une(e,a);return e.shape.length<=t.length&&(r+=Gne(e,t,a,n)),r}function jne(e,t){let{x:a,y:n=[],z:r=[]}=t,s=e.length,i=a.length+n.length+r.length;if(i!==s)return"";if(a.length===s)return`fn getOutputCoords() -> ${la(s)}{ +`}function hoe(e,t,a,n){let r=poe(e,a);return e.shape.length<=t.length&&(r+=coe(e,t,a,n)),r}function foe(e,t){let{x:a,y:n=[],z:r=[]}=t,s=e.length,i=a.length+n.length+r.length;if(i!==s)return"";if(a.length===s)return`fn getOutputCoords() -> ${Jt(s)}{ let globalIndex = getGlobalIndex(); return getCoordsFromIndex(globalIndex); } - `;let o="",l=[a,n,r];for(let d=0;d ${p} { + `;let o="",l=[a,n,r];for(let d=0;d ${p} { ${o} -`;return u.length===0?c+=`return ${p}(0); }`:c+=`return ${p}(${u.join(",")}); }`,c}function qne(e){let t="";switch(e){case 0:case 1:t+=` +`;return u.length===0?c+=`return ${p}(0); }`:c+=`return ${p}(${u.join(",")}); }`,c}function moe(e){let t="";switch(e){case 0:case 1:t+=` fn getOutputIndexFromCoords(coords : i32) -> i32 { return coords; } @@ -5126,47 +5205,33 @@ return a / b;`,jK=` coords.u * uniforms.outShapeStrides.u + coords.v; } - `;break;default:v.assert(!1,()=>`Unsupported ${e}D shape`);break}return t}function S8(e){return e.dispatch[1]===1&&e.dispatch[2]===1}function td(e,t){return e==="float32"?t?"vec4":"f32":e==="int32"||e==="bool"?t?"vec4":"i32":e}function Xne(e,t,a){let n=e.length,r=td(t,a),s;if(a?s=`fn setOutputAtIndex(flatIndex : i32, value : vec4) { + `;break;default:v.assert(!1,()=>`Unsupported ${e}D shape`);break}return t}function Xw(e){return e.dispatch[1]===1&&e.dispatch[2]===1}function Nl(e,t=1){if(e==="float32")return Xe(t,"f32");if(e==="int32"||e==="bool")return Xe(t,"i32");throw new Error(`type ${e} is not supported.`)}function goe(e,t,a){let n=e.length,r=Nl(t,a),s=`fn setOutputAtIndex(flatIndex : i32, value : ${Xe(a)}) { result[flatIndex] = ${r}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : vec4) { - result[flatIndex] = ${r}(value); - }`:s=`fn setOutputAtIndex(flatIndex : i32, value : f32) { + + fn setOutputAtIndexI32(flatIndex : i32, value : ${Xe(a,"i32")}) { result[flatIndex] = ${r}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : i32) { - result[flatIndex] = ${r}(value); - }`,n>=2){let i=["d0","d1","d2","d3","d4","d5"].slice(0,n),o=la(n);a?s+=` - fn setOutputAtCoords(${i.map(l=>`${l} : i32`).join(", ")}, value : vec4) { + `;if(n>=2){let i=["d0","d1","d2","d3","d4","d5"].slice(0,n),o=Jt(n);s+=` + fn setOutputAtCoords(${i.map(l=>`${l} : i32`).join(", ")}, value : ${Xe(a)}) { let flatIndex = getOutputIndexFromCoords(${o}(${i.join(", ")})); - setOutputAtIndex(flatIndex / 4, value); + setOutputAtIndex(flatIndex${a===1?"":` / ${a}`}, value); } - fn setOutputAtCoordsI32(${i.map(l=>`${l} : i32`).join(", ")}, value : vec4) { + fn setOutputAtCoordsI32(${i.map(l=>`${l} : i32`).join(", ")}, value : ${Xe(a,"i32")}) { let flatIndex = getOutputIndexFromCoords(${o}(${i.join(", ")})); - setOutputAtIndexI32(flatIndex / 4, value); + setOutputAtIndexI32(flatIndex${a===1?"":` / ${a}`}, value); } - `:s+=` - fn setOutputAtCoords(${i.map(l=>`${l} : i32`).join(", ")}, value : f32) { - let flatIndex = getOutputIndexFromCoords(${o}(${i.join(", ")})); - setOutputAtIndex(flatIndex, value); - } - fn setOutputAtCoordsI32(${i.map(l=>`${l} : i32`).join(", ")}, value : i32) { - let flatIndex = getOutputIndexFromCoords(${o}(${i.join(", ")})); - setOutputAtIndexI32(flatIndex, value); - } - `}return s}function Kne(e){let t=/(\w+)\s*:\s*vec(5|6)/g;e=e.replace(t,n=>"@align(16) "+n);let a=/vec(5|6)\s*,\s*(\w+)/g;return e=e.replace(a,(n,r,s)=>`vec${r}, @align(16) ${s}`),e}function Uy(e){return!(e.dispatchLayout.hasOwnProperty("y")&&e.dispatchLayout.y.length!==0||e.dispatchLayout.hasOwnProperty("z")&&e.dispatchLayout.z.length!==0)}var T8={};Ze(T8,{GPUBytesPerElement:()=>R2,MatMulProgramType:()=>Pn,assertNotComplex:()=>N8,computeDispatch:()=>we,computeWorkPerThreadForConv2d:()=>z3,computeWorkgroupInfoForMatMul:()=>C8,computeWorkgroupSizeForConv2d:()=>D3,flatDispatchLayout:()=>$e,isWebGPUSupported:()=>L3,tilesFitEvenlyIntoShape:()=>Zne});var Ds=e=>{let t=1;for(let a=0;aa%e[n]===0)}function we(e,t,a=[1,1,1],n=[1,1,1]){let[r,s,i]=[Math.ceil(Ds(e.x.map(o=>t[o]))/(a[0]*n[0])),e.y?Math.ceil(Ds(e.y.map(o=>t[o]))/(a[1]*n[1])):1,e.z?Math.ceil(Ds(e.z.map(o=>t[o]))/(a[2]*n[2])):1];return[r,s,i]}function C8(e,t,a,n=!1){let r=[8,8,1],s=[4,4,1];return n||(e<=8&&(s[1]=1),t<=16&&a<=16&&(r[0]=4)),{workgroupSize:r,elementsPerThread:s}}function D3(e,t,a=!1){if(a)return[8,8,1];let n=Ds(e.x.map(s=>t[s])),r=Ds(e.y.map(s=>t[s]));return n<=4?[4,16,1]:r<=4?[16,4,1]:[16,16,1]}function z3(e,t,a=!1){if(a)return[4,4,1];let n=Ds(e.x.map(s=>t[s])),r=Ds(e.y.map(s=>t[s]));return n<=4?[1,2,1]:r<=4?[2,1,1]:[2,2,1]}function $e(e){return{x:e.map((t,a)=>a)}}function R2(e){if(e==="float32"||e==="int32"||e==="bool"||e==="string")return 4;if(e==="complex64")return 8;throw new Error(`Unknown dtype ${e}`)}function L3(){return(typeof window!="undefined"||typeof WorkerGlobalScope!="undefined")&&!!navigator.gpu}function N8(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGPU backend.`)})}var Pn;(function(e){e[e.MatMulReduceProgram=0]="MatMulReduceProgram",e[e.MatMulSplitKProgram=1]="MatMulSplitKProgram",e[e.MatMulSmallOutputSizeProgram=2]="MatMulSmallOutputSizeProgram",e[e.MatMulPackedProgram=3]="MatMulPackedProgram",e[e.MatMulMax=4]="MatMulMax"})(Pn||(Pn={}));var Yne=V().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"),Jne=(e,t)=>{let a=e.limits.maxComputeWorkgroupsPerDimension,n=t.dispatchLayout,r=t.dispatch;if(r.every(i=>i<=a))return r;v.assert(r[0]>a&&n.y===void 0&&n.z===void 0,()=>"Dispatch size exceeds WebGPU limits in Y or Z dimension.");let s=Math.ceil(Math.sqrt(r[0]));return s>a?(s=Math.ceil(Math.cbrt(r[0])),v.assert(s<=a,()=>"Total dispatch size exceeds WebGPU maximum."),[s,s,s]):[s,s,1]},Oh=class extends Al{constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!L3())throw new Error("WebGPU is not supported on this device");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has("timestamp-query-inside-passes"),this.adapterInfo=new Pne(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new Fne(this.device),this.textureManager=new One(this.device),this.tensorMap=new kd(this,vt()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:2})),V().getBool("WEBGPU_USE_PROFILE_TOOL")&&(this.dummyCanvas=document.createElement("canvas"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext("webgpu"),this.dummyContext.configure({device:e,format:"bgra8unorm"}),document.body.appendChild(this.dummyCanvas))}nextDataId(){return Oh.nextDataId++}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let a=this.tensorMap.get(e);if(this.decRef(e),!t&&a.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if("texture"in t.resourceInfo){let a=t.resourceInfo;a.texture instanceof GPUTexture&&this.textureManager.releaseTexture(a.texture,a.width,a.height,a.format,a.usage),a.texture=null}else{let a=t.resourceInfo;this.bufferManager.releaseBuffer(a.buffer,a.size,a.usage),a.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,a){if(a==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:a,shape:t,values:e,refCount:1}),n}move(e,t,a,n,r){if(n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.tensorMap.set(e,{dtype:n,shape:a,values:t,refCount:r})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseUploadBuffer(e.buffer,e.size,e.usage)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let a=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,a,0,t),this.submitQueue(),await a.mapAsync(GPUMapMode.READ);let n=a.getMappedRange().slice(0);return a.unmap(),a!=null&&this.bufferManager.releaseBuffer(a,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),V().getBool("WEBGPU_USE_PROFILE_TOOL")&&(v.assert(this.dummyContext!==void 0,()=>"Fail to get context for profiling tool"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let a=this.tensorMap.get(e);return this.releaseResource(e),a.values=t,a.values}readSync(e){let t=this.tensorMap.get(e),{values:a}=t;if(a==null)throw new Error("WebGPU readSync is only available for CPU-resident tensors.");return a}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:a}=t;if(a!=null)return this.convertAndCacheOnCPU(e,a);let n;if(t.dtype==="complex64"){let r=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),s=r[0],i=r[1];n=T.mergeRealAndImagArrays(s,i)}else{let r=t.resourceInfo,s=await this.getBufferData(r.buffer,r.size);n=v.convertBackendValuesAndArrayBuffer(s,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,a){let n=this.bufferManager.acquireBuffer(t,a);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,a){let n=e.buffer;if(a==="complex64")throw new Error("Cannot write to a complex64 dtype. ");let r={id:this.nextDataId()};this.tensorMap.set(r,{dtype:a,shape:t,values:null,refCount:1,external:e.zeroCopy});let s=this.tensorMap.get(r),i=R2(s.dtype)*v.sizeFromShape(s.shape);if(e.buffer.sizev.decodeString(n));return _e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return _e(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn("This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.");let t=this.activeTimers,a=[],n=!1;this.programTimersStack==null?(this.programTimersStack=a,n=!0):this.activeTimers.push(a),this.activeTimers=a,e();let r=v.flatten(this.activeTimers.map(l=>l.query)).filter(l=>l!=null),s=v.flatten(this.activeTimers.map(l=>l.name)).filter(l=>l!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},o=await Promise.all(r);return i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", "),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,a){return t==="string"&&a!=null&&a.length>0&&v.isString(a[0])&&(a=a.map(n=>v.encodeString(n))),{dataId:this.write(a,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if("texture"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let a=t.resourceInfo;return{offset:0,size:a.size,buffer:a.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let a=R2(t.dtype)*v.sizeFromShape(t.shape),n=this.bufferManager.acquireBuffer(a,this.defaultGpuBufferUsage());if(t.resourceInfo={size:a,usage:this.defaultGpuBufferUsage(),buffer:n},t.values){let r=this.bufferManager.acquireUploadBuffer(a,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC),s=r.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(s).set(t.values):new Float32Array(s).set(t.values),r.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(r,0,n,0,a);let i={size:a,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:r};this.stagingPendingDisposal.push(i)}}makeUniforms(e){let t=0,a=0,n=[],r=1;e.forEach(l=>{l.data.length===0&&(l.data=[1]);let u;switch(l.data.length){case 1:u=4;break;case 2:u=8;break;case 3:u=16;break;case 4:u=16;break;case 5:u=16;break;case 6:u=16;break;default:v.assert(!1,()=>`Unsupported ${l.data.length}D shape`)}(a===5||a===6)&&(u=16),u>r&&(r=u),t=Math.ceil(t/u)*u,a=l.data.length,n.push(t),t+=l.data.length*4}),t=Math.ceil(t/r)*r;let s=new ArrayBuffer(t);e.forEach((l,u)=>{let p=n[u];l.type==="int32"?new Int32Array(s,p,l.data.length).set(l.data):l.type==="uint32"?new Uint32Array(s,p,l.data.length).set(l.data):new Float32Array(s,p,l.data.length).set(l.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,s,0,t);let o={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(o),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,a,n,r){if(r||(r=this.makeTensorInfo(e.outputShape,a)),v.sizeFromShape(r.shape)===0)return this.tensorMap.get(r.dataId).values=v.getTypedArrayFromDType(r.dtype,0),r;this.uploadToGPU(r.dataId),e.dispatch=Jne(this.device,e);let s=[],i=[];if(!e.isFromPixels){s.push({type:"float32",data:[NaN]},{type:"float32",data:[1/0]}),i=t.concat(r).map(g=>g.shape);let f="int32";i.map(g=>{s.push({type:f,data:g})});let m=v.computeStrides(r.shape);if(s.push({type:f,data:m}),e.size){let g=v.sizeFromShape(e.outputShape);s.push({type:f,data:[e.isVec4?g/4:g]})}}let o=t.map((f,m)=>{if(f.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");return this.uploadToGPU(f.dataId),{dtype:this.tensorMap.get(f.dataId).dtype,shape:f.shape,name:e.variableNames[m]}}),l=Wne(e,i,o,r),u;l in this.pipelineCache?u=this.pipelineCache[l]:(u=zne(this.device,e,o,r),this.pipelineCache[l]=u),n&&(s=[...s,...n]);let p=[this.tensorToBinding(r),...t.map(f=>this.tensorToBinding(f)),this.makeUniforms(s)],c=this.device.createBindGroup({layout:u.getBindGroupLayout(0),entries:p.map((f,m)=>({binding:m,resource:f}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),h=this.activeTimers!=null;return h&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(u),d.setBindGroup(0,c),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),h&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(f=>{this.commandQueueOwnedIds.add(f.dataId)}),this.commandQueueOwnedIds.add(r.dataId),V().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE")<=this.dispatchNumberInEncoder&&this.submitQueue(),h&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),r}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),a=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,a,0,16),this.submitQueue(),await a.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(a.getMappedRange()),r=Number(n[1]-n[0]);return a.unmap(),this.bufferManager.releaseBuffer(a,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),r/1e6}shouldExecuteOnCPU(e,t=Yne){return V().getBool("WEBGPU_CPU_FORWARD")&&e.every(a=>this.tensorMap.get(a.dataId).resourceInfo==null&&v.sizeFromShape(a.shape){V().set("CHECK_COMPUTATION_FOR_ERRORS",!1);let e={powerPreference:V().get("WEBGPU_USE_LOW_POWER_GPU")?"low-power":"high-performance"},t=await navigator.gpu.requestAdapter(e),a={};t.features.has("timestamp-query-inside-passes")&&(a.requiredFeatures=["timestamp-query-inside-passes"]);let n=t.limits;a.requiredLimits={maxComputeWorkgroupStorageSize:n.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:n.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:n.maxStorageBufferBindingSize};let r=await t.requestDevice(a),s=await t.requestAdapterInfo();return new Oh(r,s)},3);var Pe;(function(e){e[e.ADD=0]="ADD",e[e.ATAN2=1]="ATAN2",e[e.COMPLEX_MULTIPLY_IMAG=2]="COMPLEX_MULTIPLY_IMAG",e[e.COMPLEX_MULTIPLY_REAL=3]="COMPLEX_MULTIPLY_REAL",e[e.DIV=4]="DIV",e[e.EQUAL=5]="EQUAL",e[e.GREATER=6]="GREATER",e[e.GREATER_EQUAL=7]="GREATER_EQUAL",e[e.INT_DIV=8]="INT_DIV",e[e.LESS=9]="LESS",e[e.LESS_EQUAL=10]="LESS_EQUAL",e[e.LOGICAL_AND=11]="LOGICAL_AND",e[e.LOGICAL_OR=12]="LOGICAL_OR",e[e.MAX=13]="MAX",e[e.MIN=14]="MIN",e[e.MOD=15]="MOD",e[e.MUL=16]="MUL",e[e.NOT_EQUAL=17]="NOT_EQUAL",e[e.POW=18]="POW",e[e.PRELU=19]="PRELU",e[e.SQUARED_DIFFERENCE=20]="SQUARED_DIFFERENCE",e[e.SUB=21]="SUB"})(Pe||(Pe={}));var E8=` - if (isnan(a)) { return a; } - if (isnan(b)) { return b; } - `,Dh=` + `}return s}function yoe(e){let t=/(\w+)\s*:\s*vec(5|6)/g;e=e.replace(t,n=>"@align(16) "+n);let a=/vec(5|6)\s*,\s*(\w+)/g;return e=e.replace(a,(n,r,s)=>`vec${r}, @align(16) ${s}`),e}function Px(e){return!(e.dispatchLayout.hasOwnProperty("y")&&e.dispatchLayout.y.length!==0||e.dispatchLayout.hasOwnProperty("z")&&e.dispatchLayout.z.length!==0)}var Kw={};Ze(Kw,{GPUBytesPerElement:()=>_1,MatMulProgramType:()=>Pn,assertNotComplex:()=>Fg,computeDispatch:()=>ce,computeWorkPerThreadForConv2d:()=>Eg,computeWorkgroupInfoForMatMul:()=>Yw,computeWorkgroupSizeForConv2d:()=>Rg,flatDispatchLayout:()=>be,isWebGPUSupported:()=>Mg,tilesFitEvenlyIntoShape:()=>xoe});var Vs=e=>{let t=1;for(let a=0;aa%e[n]===0)}function ce(e,t,a=[1,1,1],n=[1,1,1]){let[r,s,i]=[Math.ceil(Vs(e.x.map(o=>t[o]))/(a[0]*n[0])),e.y?Math.ceil(Vs(e.y.map(o=>t[o]))/(a[1]*n[1])):1,e.z?Math.ceil(Vs(e.z.map(o=>t[o]))/(a[2]*n[2])):1];return[r,s,i]}function Yw(e,t,a,n=!1){let r=[8,8,1],s=[4,4,1];return n||(e<=8&&(s[1]=1),t<=16&&a<=16&&(r[0]=4)),{workgroupSize:r,elementsPerThread:s}}function Rg(e,t,a=!1){if(a)return[8,8,1];let n=Vs(e.x.map(s=>t[s])),r=Vs(e.y.map(s=>t[s]));return n<=4?[4,16,1]:r<=4?[16,4,1]:[16,16,1]}function Eg(e,t,a=!1){if(a)return[4,4,1];let n=Vs(e.x.map(s=>t[s])),r=Vs(e.y.map(s=>t[s]));return n<=4?[1,2,1]:r<=4?[2,1,1]:[2,2,1]}function be(e){return{x:e.map((t,a)=>a)}}function _1(e){if(e==="float32"||e==="int32"||e==="bool"||e==="string")return 4;if(e==="complex64")return 8;throw new Error(`Unknown dtype ${e}`)}function Mg(){return(typeof window!="undefined"||typeof WorkerGlobalScope!="undefined")&&!!navigator.gpu}function Fg(e,t){Array.isArray(e)||(e=[e]),e.forEach(a=>{a!=null&&v.assert(a.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGPU backend.`)})}var Pn;(function(e){e[e.MatMulReduceProgram=0]="MatMulReduceProgram",e[e.MatMulSplitKProgram=1]="MatMulSplitKProgram",e[e.MatMulSmallOutputSizeProgram=2]="MatMulSmallOutputSizeProgram",e[e.MatMulPackedProgram=3]="MatMulPackedProgram",e[e.MatMulMax=4]="MatMulMax"})(Pn||(Pn={}));var Aoe=W().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"),boe=(e,t)=>{let a=e.limits.maxComputeWorkgroupsPerDimension,n=t.dispatchLayout,r=t.dispatch;if(r.every(i=>i<=a))return r;v.assert(r[0]>a&&n.y===void 0&&n.z===void 0,()=>"Dispatch size exceeds WebGPU limits in Y or Z dimension.");let s=Math.ceil(Math.sqrt(r[0]));return s>a?(s=Math.ceil(Math.cbrt(r[0])),v.assert(s<=a,()=>"Total dispatch size exceeds WebGPU maximum."),[s,s,s]):[s,s,1]},r0=class extends Kl{nextDataId(){return r0.nextDataId++}constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!Mg())throw new Error("WebGPU is not supported on this device");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has("timestamp-query-inside-passes"),this.adapterInfo=new aoe(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new noe(this.device),this.textureManager=new roe(this.device),this.tensorMap=new Zd(this,It()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:2})),W().getBool("WEBGPU_USE_PROFILE_TOOL")&&(this.dummyCanvas=document.createElement("canvas"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext("webgpu"),this.dummyContext.configure({device:e,format:"bgra8unorm"}),document.body.appendChild(this.dummyCanvas))}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let a=this.tensorMap.get(e);if(this.decRef(e),!t&&a.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if("texture"in t.resourceInfo){let a=t.resourceInfo;a.texture instanceof GPUTexture&&this.textureManager.releaseTexture(a.texture,a.width,a.height,a.format,a.usage),a.texture=null}else{let a=t.resourceInfo;this.bufferManager.releaseBuffer(a.buffer,a.size,a.usage),a.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,a){if(a==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:a,shape:t,values:e,refCount:1}),n}move(e,t,a,n,r){if(n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.tensorMap.set(e,{dtype:n,shape:a,values:t,refCount:r})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage,!1)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let a=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,a,0,t),this.submitQueue(),await a.mapAsync(GPUMapMode.READ);let n=a.getMappedRange().slice(0);return a.unmap(),a!=null&&this.bufferManager.releaseBuffer(a,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),W().getBool("WEBGPU_USE_PROFILE_TOOL")&&(v.assert(this.dummyContext!==void 0,()=>"Fail to get context for profiling tool"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let a=this.tensorMap.get(e);return this.releaseResource(e),a.values=t,a.values}readSync(e){let t=this.tensorMap.get(e),{values:a,complexTensorInfos:n}=t;if(a!=null||t.dtype==="string")return a;if(t.dtype==="complex64"){let f=this.readSync(n.real.dataId),m=this.readSync(n.imag.dataId),g=v.convertBackendValuesAndArrayBuffer(S.mergeRealAndImagArrays(f,m).buffer,"float32");return this.convertAndCacheOnCPU(e,g),g}let r=["opaque","premultiplied"],s=t.resourceInfo,i=s.size;v.assert(i%4===0,()=>"Because there is 4 bytes for one pixel, buffer size must be multiple of 4.");let o=i/4,l=new ArrayBuffer(i),u=256,p=256,c=r.map(f=>new OffscreenCanvas(u,p)),d=new OffscreenCanvas(u,p);this.ensureComputePassEnded(),c.map((f,m)=>{let g=f.getContext("webgpu");return g.configure({device:this.device,format:"bgra8unorm",usage:GPUTextureUsage.COPY_DST,alphaMode:r[m]}),g.getCurrentTexture()}).map((f,m)=>{let g=u*4,y=(T,N,M)=>{this.ensureCommandEncoderReady(),this.currentCommandEncoder.copyBufferToTexture({buffer:s.buffer,bytesPerRow:g,offset:M},{texture:f},{width:T,height:N}),this.submitQueue();let F=d.getContext("2d",{willReadFrequently:!0});F.clearRect(0,0,T,N),F.drawImage(c[m],0,0);let E=F.getImageData(0,0,T,N).data,I=r[m],_=new Uint8ClampedArray(l,M,T*N*4);for(let O=0;O<_.length;O+=4)if(I==="premultiplied")_[O+3]=E[O+3];else{let B=E[O];_[O]=E[O+2],_[O+1]=E[O+1],_[O+2]=B}},x=Math.floor(o/(u*p)),A=u,b=p,w=0;for(let T=0;T0&&(y(A,b,w),w+=b*(u*4)),A=C%u,A>0&&y(A,1,w)});let h=v.convertBackendValuesAndArrayBuffer(l,t.dtype);return this.convertAndCacheOnCPU(e,h),h}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:a}=t;if(a!=null)return a;let n;if(t.dtype==="complex64"){let r=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),s=r[0],i=r[1];n=S.mergeRealAndImagArrays(s,i)}else{let r=t.resourceInfo,s=await this.getBufferData(r.buffer,r.size);n=v.convertBackendValuesAndArrayBuffer(s,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,a){let n=this.bufferManager.acquireBuffer(t,a);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,a){let n=e.buffer;if(a==="complex64")throw new Error("Cannot write to a complex64 dtype. ");let r={id:this.nextDataId()};this.tensorMap.set(r,{dtype:a,shape:t,values:null,refCount:1,external:e.zeroCopy});let s=this.tensorMap.get(r),i=_1(s.dtype)*v.sizeFromShape(s.shape);if(e.buffer.sizev.decodeString(n));return $e(e.shape,e.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return $e(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn("This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.");let t=this.activeTimers,a=[],n=!1;this.programTimersStack==null?(this.programTimersStack=a,n=!0):this.activeTimers.push(a),this.activeTimers=a,e();let r=v.flatten(this.activeTimers.map(l=>l.query)).filter(l=>l!=null),s=v.flatten(this.activeTimers.map(l=>l.name)).filter(l=>l!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},o=await Promise.all(r);return i.kernelMs=v.sum(o),i.getExtraProfileInfo=()=>o.map((l,u)=>({name:s[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", "),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,a){return t==="string"&&a!=null&&a.length>0&&v.isString(a[0])&&(a=a.map(n=>v.encodeString(n))),{dataId:this.write(a,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if("texture"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let a=t.resourceInfo;return{offset:0,size:a.size,buffer:a.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let a=_1(t.dtype)*v.sizeFromShape(t.shape),n;if(t.values){if(n=this.bufferManager.acquireBuffer(a,this.defaultGpuBufferUsage(),!0),n.mapState==="unmapped"){let r=this.bufferManager.acquireBuffer(a,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,!0,!1),s=r.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(s).set(t.values):new Float32Array(s).set(t.values),r.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(r,0,n,0,a),this.stagingPendingDisposal.push({size:a,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:r})}else{let r=n.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(r).set(t.values):new Float32Array(r).set(t.values),n.unmap()}t.values=null}else n=this.bufferManager.acquireBuffer(a,this.defaultGpuBufferUsage());t.resourceInfo={size:a,usage:this.defaultGpuBufferUsage(),buffer:n}}makeUniforms(e){let t=0,a=0,n=[],r=1;e.forEach(l=>{l.data.length===0&&(l.data=[1]);let u;switch(l.data.length){case 1:u=4;break;case 2:u=8;break;case 3:u=16;break;case 4:u=16;break;case 5:u=16;break;case 6:u=16;break;default:v.assert(!1,()=>`Unsupported ${l.data.length}D shape`)}(a===5||a===6)&&(u=16),u>r&&(r=u),t=Math.ceil(t/u)*u,a=l.data.length,n.push(t),t+=l.data.length*4}),t=Math.ceil(t/r)*r;let s=new ArrayBuffer(t);e.forEach((l,u)=>{let p=n[u];l.type==="int32"?new Int32Array(s,p,l.data.length).set(l.data):l.type==="uint32"?new Uint32Array(s,p,l.data.length).set(l.data):new Float32Array(s,p,l.data.length).set(l.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,s,0,t);let o={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(o),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,a,n,r){if(r||(r=this.makeTensorInfo(e.outputShape,a)),v.sizeFromShape(r.shape)===0)return this.tensorMap.get(r.dataId).values=v.getTypedArrayFromDType(r.dtype,0),r;this.uploadToGPU(r.dataId),e.dispatch=boe(this.device,e);let s=[],i=[];if(!e.isFromPixels){s.push({type:"float32",data:[NaN]},{type:"float32",data:[1/0]}),i=t.concat(r).map(m=>m.shape);let f="int32";if(i.map(m=>{s.push({type:f,data:m});let g=v.computeStrides(m);s.push({type:f,data:g})}),e.size){let m=v.sizeFromShape(e.outputShape);s.push({type:f,data:[e.outputComponent?m/e.outputComponent:m]})}}let o=t.map((f,m)=>{if(f.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");return this.uploadToGPU(f.dataId),{dtype:this.tensorMap.get(f.dataId).dtype,shape:f.shape,name:e.variableNames[m]}}),l=uoe(e,i,o,r),u;l in this.pipelineCache?u=this.pipelineCache[l]:(u=ioe(this.device,e,o,r,l),this.pipelineCache[l]=u),n&&(s=[...s,...n]);let p=[this.tensorToBinding(r),...t.map(f=>this.tensorToBinding(f)),this.makeUniforms(s)],c=this.device.createBindGroup({layout:u.getBindGroupLayout(0),entries:p.map((f,m)=>({binding:m,resource:f}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),h=this.activeTimers!=null;return h&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(u),d.setBindGroup(0,c),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),h&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(f=>{this.commandQueueOwnedIds.add(f.dataId)}),this.commandQueueOwnedIds.add(r.dataId),W().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE")<=this.dispatchNumberInEncoder&&this.submitQueue(),h&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),r}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),a=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,a,0,16),this.submitQueue(),await a.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(a.getMappedRange()),r=Number(n[1]-n[0]);return a.unmap(),this.bufferManager.releaseBuffer(a,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),r/1e6}shouldExecuteOnCPU(e,t=Aoe){return W().getBool("WEBGPU_CPU_FORWARD")&&e.every(a=>this.tensorMap.get(a.dataId).resourceInfo==null&&v.sizeFromShape(a.shape){let e={powerPreference:W().get("WEBGPU_USE_LOW_POWER_GPU")?"low-power":"high-performance"},t=await navigator.gpu.requestAdapter(e),a={};t.features.has("timestamp-query-inside-passes")&&(a.requiredFeatures=["timestamp-query-inside-passes"]);let n=t.limits;a.requiredLimits={maxComputeWorkgroupStorageSize:n.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:n.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:n.maxStorageBufferBindingSize,maxBufferSize:n.maxBufferSize,maxComputeWorkgroupSizeX:n.maxComputeWorkgroupSizeX,maxComputeInvocationsPerWorkgroup:n.maxComputeInvocationsPerWorkgroup};let r=await t.requestDevice(a),s=await t.requestAdapterInfo();return new r0(r,s)},3);var _e;(function(e){e[e.ADD=0]="ADD",e[e.ATAN2=1]="ATAN2",e[e.COMPLEX_MULTIPLY_IMAG=2]="COMPLEX_MULTIPLY_IMAG",e[e.COMPLEX_MULTIPLY_REAL=3]="COMPLEX_MULTIPLY_REAL",e[e.DIV=4]="DIV",e[e.ELU_DER=5]="ELU_DER",e[e.EQUAL=6]="EQUAL",e[e.GREATER=7]="GREATER",e[e.GREATER_EQUAL=8]="GREATER_EQUAL",e[e.INT_DIV=9]="INT_DIV",e[e.LESS=10]="LESS",e[e.LESS_EQUAL=11]="LESS_EQUAL",e[e.LOGICAL_AND=12]="LOGICAL_AND",e[e.LOGICAL_OR=13]="LOGICAL_OR",e[e.MAX=14]="MAX",e[e.MIN=15]="MIN",e[e.MOD=16]="MOD",e[e.MUL=17]="MUL",e[e.NOT_EQUAL=18]="NOT_EQUAL",e[e.POW=19]="POW",e[e.PRELU=20]="PRELU",e[e.SQUARED_DIFFERENCE=21]="SQUARED_DIFFERENCE",e[e.SUB=22]="SUB"})(_e||(_e={}));var voe=` + resultTemp = select(resultTemp, valueForNaN, isNaN | isnan(a) | isnan(b));`,woe=` resultTemp = select( resultTemp, vec4(valueForNaN), vec4(isNaN) | isnanVec4(a) | isnanVec4(b)); - `,Qne="return a + b;",ere="return areal * breal - aimag * bimag;",tre="return areal * bimag + aimag * breal;",are="return a / b;",nre="return f32(a == b);",rre="return vec4(a == b);",sre="return f32(a > b);",ire="return vec4(a > b);",ore="return f32(a >= b);",lre="return vec4(a >= b);",ure=` + `,koe="return a + b;",Ioe="var resultTemp = atan2(a, b);",Soe="return areal * breal - aimag * bimag;",Coe="return areal * bimag + aimag * breal;",Toe="return a / b;",Noe="return select(a * (b + 1.0), a, b >= 0.);",Roe="return select(a * (b + vec4(1.0)), a, b >= vec4(0.));",Eoe="return f32(a == b);",Moe="return vec4(a == b);",Foe="return f32(a > b);",_oe="return vec4(a > b);",$oe="return f32(a >= b);",Doe="return vec4(a >= b);",Poe=` let s = sign(a) * sign(b); let ia = i32(round(a)); let ib = i32(round(b)); return f32(idiv(ia, ib, s)); -`,dre=` +`,Ooe=` let ia = vec4(round(a)); let ib = vec4(round(b)); let cond = ib != vec4(0); @@ -5187,25 +5252,16 @@ return a / b;`,jK=` resultTemp[3] = idiv(ia[3], ib[3], s[3]); } return vec4(resultTemp); -`,pre="return f32(a < b);",cre="return vec4(a < b);",hre="return f32(a <= b);",fre="return vec4(a <= b);",mre="return f32(a >= 1.0 && b >= 1.0);",gre=`return (vec4(a >= vec4(1.0)) * - vec4(b >= vec4(1.0)));`,yre="return f32(a >= 1.0 || b >= 1.0);",xre=`return min(vec4(a >= vec4(1.0)) + - vec4(b >= vec4(1.0)), vec4(1.0));`,Are=` - ${E8} - if (b == 0.) { - return uniforms.NAN; - } +`,zoe="return f32(a < b);",Loe="return vec4(a < b);",Woe="return f32(a <= b);",Boe="return vec4(a <= b);",Voe="return f32(a >= 1.0 && b >= 1.0);",Uoe=`return (vec4(a >= vec4(1.0)) * + vec4(b >= vec4(1.0)));`,Goe="return f32(a >= 1.0 || b >= 1.0);",Hoe=`return min(vec4(a >= vec4(1.0)) + + vec4(b >= vec4(1.0)), vec4(1.0));`,joe="var resultTemp = max(a, b);",qoe="var resultTemp = min(a, b);",Xoe=` + let isNaN = b == 0.; var resultTemp = a % b; - if ((a < 0. && b < 0.) || (a >= 0. && b > 0.)) { - return resultTemp; - } else { - return (resultTemp + b) % b; - } -`,bre=` + resultTemp = select((resultTemp + b) % b, resultTemp, + (a < 0. && b < 0.) || (a >= 0. && b > 0.)); +`,Koe=` let isNaN = !vec4(b); - let valueForNaN = uniforms.NAN; var resultTemp = vec4(a % b); - ${Dh} - if (!((a[0] < 0. && b[0] < 0.) || (a[0] >= 0. && b[0] > 0.))) { resultTemp[0] = (resultTemp[0] + b[0]) % b[0]; } @@ -5218,31 +5274,20 @@ return a / b;`,jK=` if (!((a[3] < 0. && b[3] < 0.) || (a[3] >= 0. && b[3] > 0.))) { resultTemp[3] = (resultTemp[3] + b[3]) % b[3]; } - - return resultTemp; -`,vre="return a * b;",kre=` - if (isnan(a) || isnan(b)) { - return 1.0; - } - return f32(a != b); -`,wre=` +`,Yoe="return a * b;",Zoe=` + var resultTemp = f32(a != b); + let valueForNaN = 1.0; +`,Joe=` var resultTemp = vec4(a != b); let valueForNaN = 1.0; - ${Dh} - - return resultTemp; -`,Ire=` - if(a < 0.0 && floor(b) < b) { - return uniforms.NAN; - } +`,Qoe=` + let isNaN = a < 0.0 && floor(b) < b; if (b == 0.0) { return 1.0; } - if (round(abs(b) % 2.0) != 1.0) { - return pow(abs(a), b); - } - return sign(a) * pow(abs(a), b); -`,Sre=` + var resultTemp = select(sign(a) * pow(abs(a), b), pow(abs(a), b), + round(abs(b) % 2.0) != 1.0); +`,ele=` let isModRound1Bool = vec4(round(abs(b) % vec4(2.0))) == vec4(1); let isModRound1 = vec4(isModRound1Bool); let multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -5263,40 +5308,38 @@ return a / b;`,jK=` resultTemp.a = 1.0; } let isNaN = (a < vec4(0.0)) & (floor(b) < b); - let valueForNaN = uniforms.NAN; - ${Dh} - return resultTemp; -`,Tre="if (a < 0.0) { return b * a; } return a;",Cre=` +`,tle="if (a < 0.0) { return b * a; } return a;",ale=` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`,Nre="return (a - b) * (a - b);",Ere="return a - b;";function Dm(e,t,a="uniforms.NAN"){let n=t?Dh:E8;return t?` - let valueForNaN = ${a}; - var resultTemp = vec4(${e}(a, b)); - `+n+` - return resultTemp; - `:n+` - return ${e}(a, b); - `}function B3(e,t){switch(e){case Pe.ADD:return Qne;case Pe.ATAN2:return Dm("atan2",t);case Pe.COMPLEX_MULTIPLY_IMAG:return tre;case Pe.COMPLEX_MULTIPLY_REAL:return ere;case Pe.DIV:return are;case Pe.EQUAL:return t?rre:nre;case Pe.GREATER:return t?ire:sre;case Pe.GREATER_EQUAL:return t?lre:ore;case Pe.INT_DIV:return t?dre:ure;case Pe.LESS:return t?cre:pre;case Pe.LESS_EQUAL:return t?fre:hre;case Pe.LOGICAL_AND:return t?gre:mre;case Pe.LOGICAL_OR:return t?xre:yre;case Pe.MAX:return Dm("max",t);case Pe.MIN:return Dm("min",t);case Pe.MOD:return t?bre:Are;case Pe.MUL:return vre;case Pe.NOT_EQUAL:return t?wre:kre;case Pe.POW:return t?Sre:Ire;case Pe.PRELU:return t?Cre:Tre;case Pe.SQUARED_DIFFERENCE:return Nre;case Pe.SUB:return Ere;default:throw new Error(`BinaryType ${e} is not implemented!`)}}var le;(function(e){e[e.ABS=0]="ABS",e[e.ACOS=1]="ACOS",e[e.ACOSH=2]="ACOSH",e[e.ASIN=3]="ASIN",e[e.ASINH=4]="ASINH",e[e.ATAN=5]="ATAN",e[e.ATANH=6]="ATANH",e[e.CEIL=7]="CEIL",e[e.COS=8]="COS",e[e.COSH=9]="COSH",e[e.ELU=10]="ELU",e[e.ERF=11]="ERF",e[e.EXP=12]="EXP",e[e.EXPM1=13]="EXPM1",e[e.FLOOR=14]="FLOOR",e[e.IS_FINITE=15]="IS_FINITE",e[e.IS_INF=16]="IS_INF",e[e.IS_NAN=17]="IS_NAN",e[e.LINEAR=18]="LINEAR",e[e.LOG=19]="LOG",e[e.LOG1P=20]="LOG1P",e[e.LOGICAL_NOT=21]="LOGICAL_NOT",e[e.NEG=22]="NEG",e[e.RELU=23]="RELU",e[e.RELU6=24]="RELU6",e[e.LEAKYRELU=25]="LEAKYRELU",e[e.RECIPROCAL=26]="RECIPROCAL",e[e.ROUND=27]="ROUND",e[e.RSQRT=28]="RSQRT",e[e.SELU=29]="SELU",e[e.SIGMOID=30]="SIGMOID",e[e.SIGN=31]="SIGN",e[e.SIN=32]="SIN",e[e.SINH=33]="SINH",e[e.SOFTPLUS=34]="SOFTPLUS",e[e.SQRT=35]="SQRT",e[e.SQUARE=36]="SQUARE",e[e.STEP=37]="STEP",e[e.TAN=38]="TAN",e[e.TANH=39]="TANH",e[e.TO_INT=40]="TO_INT"})(le||(le={}));var Rre="return abs(a);",Mre=` +`,nle="return (a - b) * (a - b);",rle="return a - b;";function _g(e,t){do{let a;switch(e){case _e.ATAN2:a=Ioe;break;case _e.MAX:a=joe;break;case _e.MIN:a=qoe;break;case _e.MOD:a=t?Koe:Xoe;break;case _e.NOT_EQUAL:a=t?Joe:Zoe;break;case _e.POW:a=t?ele:Qoe;break;default:continue}return` + let isNaN = false; + let valueForNaN = uniforms.NAN; + { + ${a} + ${t?woe:voe} + return resultTemp; + } + `}while(!1);switch(e){case _e.ADD:return koe;case _e.COMPLEX_MULTIPLY_IMAG:return Coe;case _e.COMPLEX_MULTIPLY_REAL:return Soe;case _e.DIV:return Toe;case _e.ELU_DER:return t?Roe:Noe;case _e.EQUAL:return t?Moe:Eoe;case _e.GREATER:return t?_oe:Foe;case _e.GREATER_EQUAL:return t?Doe:$oe;case _e.INT_DIV:return t?Ooe:Poe;case _e.LESS:return t?Loe:zoe;case _e.LESS_EQUAL:return t?Boe:Woe;case _e.LOGICAL_AND:return t?Uoe:Voe;case _e.LOGICAL_OR:return t?Hoe:Goe;case _e.MUL:return Yoe;case _e.PRELU:return t?ale:tle;case _e.SQUARED_DIFFERENCE:return nle;case _e.SUB:return rle;default:throw new Error(`BinaryType ${e} is not implemented!`)}}var le;(function(e){e[e.ABS=0]="ABS",e[e.ACOS=1]="ACOS",e[e.ACOSH=2]="ACOSH",e[e.ASIN=3]="ASIN",e[e.ASINH=4]="ASINH",e[e.ATAN=5]="ATAN",e[e.ATANH=6]="ATANH",e[e.CEIL=7]="CEIL",e[e.COS=8]="COS",e[e.COSH=9]="COSH",e[e.ELU=10]="ELU",e[e.ERF=11]="ERF",e[e.EXP=12]="EXP",e[e.EXPM1=13]="EXPM1",e[e.FLOOR=14]="FLOOR",e[e.IS_FINITE=15]="IS_FINITE",e[e.IS_INF=16]="IS_INF",e[e.IS_NAN=17]="IS_NAN",e[e.LINEAR=18]="LINEAR",e[e.LOG=19]="LOG",e[e.LOG1P=20]="LOG1P",e[e.LOGICAL_NOT=21]="LOGICAL_NOT",e[e.NEG=22]="NEG",e[e.RELU=23]="RELU",e[e.RELU6=24]="RELU6",e[e.LEAKYRELU=25]="LEAKYRELU",e[e.RECIPROCAL=26]="RECIPROCAL",e[e.ROUND=27]="ROUND",e[e.RSQRT=28]="RSQRT",e[e.SELU=29]="SELU",e[e.SIGMOID=30]="SIGMOID",e[e.SIGN=31]="SIGN",e[e.SIN=32]="SIN",e[e.SINH=33]="SINH",e[e.SOFTPLUS=34]="SOFTPLUS",e[e.SQRT=35]="SQRT",e[e.SQUARE=36]="SQUARE",e[e.STEP=37]="STEP",e[e.TAN=38]="TAN",e[e.TANH=39]="TANH",e[e.TO_INT=40]="TO_INT"})(le||(le={}));var sle="return abs(a);",ile=` if (abs(a) > 1.) { return uniforms.NAN; } return acos(a); -`,$re=` +`,ole=` if (a < 1.) { return uniforms.NAN; } return acosh(a); -`,_re=` +`,lle=` if (abs(a) > 1.) { return uniforms.NAN; } return asin(a); -`,Pre="return asinh(a);",Fre=` +`,ule="return asinh(a);",dle=` if (isnan(a)) { return uniforms.NAN; } return atan(a); -`,Ore=` +`,ple=` if (abs(a) > 1.) { return uniforms.NAN; } @@ -5307,10 +5350,10 @@ return a / b;`,jK=` return -uniforms.INFINITY; } return atanh(a); -`,Dre="return ceil(a);",zre="return cos(a);",Lre=` +`,cle="return ceil(a);",hle="return cos(a);",fle=` let e2x = exp(-a); return (e2x + 1.0 / e2x) / 2.0; -`,Bre="return exp(a) - 1.0;",Wre="if (a >= 0.0) { return a; } return (exp(a) - 1.0);",Vre=` +`,mle="return exp(a) - 1.0;",gle="if (a >= 0.0) { return a; } return (exp(a) - 1.0);",yle=` var resFloat = exp(a) - vec4(1.0); if (a.r >= 0.0) { resFloat.r = a.r; @@ -5325,40 +5368,40 @@ return a / b;`,jK=` resFloat.a = a.a; } return resFloat; -`,Ure=` +`,xle=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - let p = ${T.ERF_P}; - let a1 = ${T.ERF_A1}; - let a2 = ${T.ERF_A2}; - let a3 = ${T.ERF_A3}; - let a4 = ${T.ERF_A4}; - let a5 = ${T.ERF_A5}; + let p = ${S.ERF_P}; + let a1 = ${S.ERF_A1}; + let a2 = ${S.ERF_A2}; + let a3 = ${S.ERF_A3}; + let a4 = ${S.ERF_A4}; + let a5 = ${S.ERF_A5}; let sign = sign(a); let absA = abs(a); let t = 1.0 / (1.0 + p * absA); return sign * (1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * exp(-absA * absA)); -`,Gre="return exp(a);",Hre="return floor(a);",jre="return f32(!isnan(a) && !isinf(a));",qre="return f32(isinf(a));",Xre="return f32(isnan(a));",Kre="return a;",Zre=`if (a < 0.0) { return uniforms.NAN; } - return log(a);`,Yre=` +`,Ale="return exp(a);",ble="return floor(a);",vle="return f32(!isnan(a) && !isinf(a));",wle="return f32(isinf(a));",kle="return f32(isnan(a));",Ile="return a;",Sle=`if (a < 0.0) { return uniforms.NAN; } + return log(a);`,Cle=` if (isnan(a)) { return a; } return log(1.0 + a); -`,Jre="return f32(!(a >= 1.0));",Qre="return -a;",ese="if (a < 0.0) { return uniforms.alpha * a; } return a;",tse=` +`,Tle="return f32(!(a >= 1.0));",Nle="return -a;",Rle="if (a < 0.0) { return uniforms.alpha * a; } return a;",Ele=` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (uniforms.alpha * a)) + ((vec4(1.0) - aLessThanZero) * a); -`,ase="return 1.0 / a;",nse="return select(a, 0.0, a < 0.0);",rse="return clamp(a, 0.0, 6.0);",sse="return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));",ise=` +`,Mle="return 1.0 / a;",Fle="return select(a, 0.0, a < 0.0);",_le="return clamp(a, 0.0, 6.0);",$le="return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));",Dle=` return select(a, vec4(0.0), a < vec4(0.0)); -`,ose="return round(a);",lse="return inverseSqrt(a);",use=` +`,Ple="return round(a);",Ole="return inverseSqrt(a);",zle=` if (a >= 0.0) { - return ${T.SELU_SCALE} * a; + return ${S.SELU_SCALE} * a; } else { - return ${T.SELU_SCALEALPHA} * (exp(a) - 1.0); + return ${S.SELU_SCALEALPHA} * (exp(a) - 1.0); } -`,dse="return 1.0 / (1.0 + exp(-1.0 * a));",pse="return sign(a);",cse="return sin(a);",hse=` +`,Lle="return 1.0 / (1.0 + exp(-1.0 * a));",Wle="return sign(a);",Ble="return sin(a);",Vle=` let e2x = exp(a); return (e2x - 1.0 / e2x) / 2.0; -`,fse=` +`,Ule=` let epsilon = 1.1920928955078125e-7; let threshold = log(epsilon) + 2.0; @@ -5373,31 +5416,31 @@ return a / b;`,jK=` } else { return log(exp_a + 1.0); } -`,mse="return sqrt(a);",gse="return a * a;",yse=` +`,Gle="return sqrt(a);",Hle="return a * a;",jle=` if (isnan(a)) { return a; } return select(uniforms.stepAlpha, 1.0, a > 0.0); -`,xse="return tan(a);",Ase=` +`,qle="return tan(a);",Xle=` let e2x = exp(-2.0 * abs(a)); return sign(a) * (1.0 - e2x) / (1.0 + e2x); -`,bse="return f32(i32((a)));";function $s(e,t){switch(e){case le.ABS:return Rre;case le.ACOS:return Mre;case le.ACOSH:return $re;case le.ASIN:return _re;case le.ASINH:return Pre;case le.ATAN:return Fre;case le.ATANH:return Ore;case le.COS:return zre;case le.COSH:return Lre;case le.CEIL:return Dre;case le.ELU:return t?Vre:Wre;case le.ERF:return Ure;case le.EXP:return Gre;case le.EXPM1:return Bre;case le.FLOOR:return Hre;case le.IS_FINITE:return jre;case le.IS_INF:return qre;case le.IS_NAN:return Xre;case le.LINEAR:return Kre;case le.LOG:return Zre;case le.LOG1P:return Yre;case le.LOGICAL_NOT:return Jre;case le.NEG:return Qre;case le.LEAKYRELU:return t?tse:ese;case le.RECIPROCAL:return ase;case le.RELU:return t?ise:nse;case le.RELU6:return t?sse:rse;case le.ROUND:return ose;case le.RSQRT:return lse;case le.SELU:return use;case le.SIGMOID:return dse;case le.SIGN:return pse;case le.SIN:return cse;case le.SINH:return hse;case le.SOFTPLUS:return fse;case le.SQRT:return mse;case le.SQUARE:return gse;case le.STEP:return yse;case le.TAN:return xse;case le.TANH:return Ase;case le.TO_INT:return bse;default:throw new Error(`BinaryType ${e} is not implemented!`)}}var $t=e=>{switch(e){case 1:return"f32";case 2:return"vec2";case 3:return"vec3";case 4:return"vec4";default:throw new Error(`${e}-component is not supported.`)}};function Cr(e,t=!1,a=!1,n=3){if(e===null)return"";let r="";if(e==="linear")r=$s(le.LINEAR);else if(e==="relu")r=$s(le.RELU,a);else if(e==="elu")r=$s(le.ELU,a);else if(e==="relu6")r=$s(le.RELU6,a);else if(e==="prelu")r=B3(Pe.PRELU,a);else if(e==="sigmoid")r=$s(le.SIGMOID,a);else if(e==="leakyrelu")r=$s(le.LEAKYRELU,a);else throw new Error(`Activation ${e} has not been implemented for the WebGPU backend.`);let s=$t(a?4:1),i="";return t?i=` +`,Kle="return f32(i32((a)));";function Ds(e,t){switch(e){case le.ABS:return sle;case le.ACOS:return ile;case le.ACOSH:return ole;case le.ASIN:return lle;case le.ASINH:return ule;case le.ATAN:return dle;case le.ATANH:return ple;case le.COS:return hle;case le.COSH:return fle;case le.CEIL:return cle;case le.ELU:return t?yle:gle;case le.ERF:return xle;case le.EXP:return Ale;case le.EXPM1:return mle;case le.FLOOR:return ble;case le.IS_FINITE:return vle;case le.IS_INF:return wle;case le.IS_NAN:return kle;case le.LINEAR:return Ile;case le.LOG:return Sle;case le.LOG1P:return Cle;case le.LOGICAL_NOT:return Tle;case le.NEG:return Nle;case le.LEAKYRELU:return t?Ele:Rle;case le.RECIPROCAL:return Mle;case le.RELU:return t?Dle:Fle;case le.RELU6:return t?$le:_le;case le.ROUND:return Ple;case le.RSQRT:return Ole;case le.SELU:return zle;case le.SIGMOID:return Lle;case le.SIGN:return Wle;case le.SIN:return Ble;case le.SINH:return Vle;case le.SOFTPLUS:return Ule;case le.SQRT:return Gle;case le.SQUARE:return Hle;case le.STEP:return jle;case le.TAN:return qle;case le.TANH:return Xle;case le.TO_INT:return Kle;default:throw new Error(`BinaryType ${e} is not implemented!`)}}function Mr(e,t=!1,a=!1,n=3){if(e===null)return"";let r="";if(e==="linear")r=Ds(le.LINEAR);else if(e==="relu")r=Ds(le.RELU,a);else if(e==="elu")r=Ds(le.ELU,a);else if(e==="relu6")r=Ds(le.RELU6,a);else if(e==="prelu")r=_g(_e.PRELU,a);else if(e==="sigmoid")r=Ds(le.SIGMOID,a);else if(e==="leakyrelu")r=Ds(le.LEAKYRELU,a);else throw new Error(`Activation ${e} has not been implemented for the WebGPU backend.`);let s=Xe(a?4:1),i="";return t?i=` fn activation(a : ${s}, coords : vec${n}) -> ${s} { let b = getPreluActivationWeightsByOutputCoords(coords); ${r} }`:i=` fn activation(a : ${s}, coords : vec${n}) -> ${s} { ${r} - }`,i}function ko(e,t){return` + }`,i}function Yo(e,t){return` ${e?"value = value + getBiasByOutputCoords(coords);":""} ${t?"value = activation(value, coords);":""} - `}function R8(e,t,a=!1,n=!1,r=!1,s=1){v.assert(e&&s===1||!e,()=>`transposeA ${e} is not compatible with component size ${s}`);let i=` + `}function Zw(e,t,a=!1,n=!1,r=!1,s=1){v.assert(e&&s===1||!e,()=>`transposeA ${e} is not compatible with component size ${s}`);let i=` ${e?"value = getA(batch, col, row);":"value = getA(batch, row, col);"} `,o=t?"value = getB(batch, col, row);":"value = getB(batch, row, col);";return` - fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${$t(s)} { - var value = ${$t(s)}(0.0); + fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${Xe(s)} { + var value = ${Xe(s)}(0.0); let col = colIn * ${s}; ${a&&r?i:` ${e?"if(row < uniforms.dimAOuter && col < uniforms.dimInner)":"if(row < uniforms.aShape[1] && col < uniforms.aShape[2])"} @@ -5408,25 +5451,25 @@ return a / b;`,jK=` return value; } - fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${$t(s)} { + fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${Xe(s)} { let col = colIn * ${s}; - var value = ${$t(s)}(0.0); + var value = ${Xe(s)}(0.0); ${o} return value; } - `}function W3(e,t,a,n,r=!1,s=!1,i=!1,o=1){return` - ${R8(a,n,r,s,i,o)} - fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${$t(o)}) { + `}function $g(e,t,a,n,r=!1,s=!1,i=!1,o=1){return` + ${Zw(a,n,r,s,i,o)} + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Xe(o)}) { let col = colIn * ${o}; ${r&&s?"":"if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)"} { var value = valueIn; let coords = vec3(batch, row, col); - ${ko(e,t)} + ${Yo(e,t)} setOutputAtCoords(coords[0], coords[1], coords[2], value); } } - `}var vse=(e,t)=>e?` + `}var Yle=(e,t)=>e?` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart / ${t} + inputCol); @@ -5434,58 +5477,58 @@ return a / b;`,jK=` mm_Asub[inputRow][inputCol] = mm_readA(batchA, globalRow + innerRow, kStart / ${t} + inputCol); - `,kse=(e,t,a)=>e?` + `,Zle=(e,t,a)=>e?` let ACached0 = mm_Asub[k * ${t}][localRow]; let ACached1 = mm_Asub[k * ${t} + 1][localRow]; let ACached2 = mm_Asub[k * ${t} + 2][localRow]; ${t===3?"":`let ACached3 = mm_Asub[k * ${t} + 3][localRow];`} for (var i = 0; i < ${a}; i++) { - acc[i] = BCached0 * ACached0[i] + acc[i]; - acc[i] = BCached1 * ACached1[i] + acc[i]; - acc[i] = BCached2 * ACached2[i] + acc[i]; - ${t===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + acc[i] = fma(BCached0, vec4(ACached0[i]), acc[i]); + acc[i] = fma(BCached1, vec4(ACached1[i]), acc[i]); + acc[i] = fma(BCached2, vec4(ACached2[i]), acc[i]); + ${t===3?"":"acc[i] = fma(BCached3, vec4(ACached3[i]), acc[i]);"} }`:` for (var i = 0; i < ${a}; i++) { let ACached = mm_Asub[tileRow + i][k]; - acc[i] = BCached0 * ACached.x + acc[i]; - acc[i] = BCached1 * ACached.y + acc[i]; - acc[i] = BCached2 * ACached.z + acc[i]; - ${t===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} - }`;function zh(e,t,a=!1,n=32,r=!1,s=32,i=!1,o=!1){let l=t[1]*e[1],u=t[0]*e[0],p=a?l:n,c=a?n:l,d=p/t[0],h=n/t[1],f=e[1];return v.assert((a&&d===4&&e[1]===4||!a&&(d===3||d===4))&&p%t[0]===0&&n%t[1]===0&&e[0]===4,()=>`If transposeA ${a} is true, innerElementSize ${d} and workPerThread[1] ${e[1]} must be 4. - Otherwise, innerElementSize ${d} must be 3 or 4. - tileAWidth ${p} must be divisible by workgroupSize[0]${t[0]}. tileInner ${n} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`),` - var mm_Asub : array, ${p/d}>, ${c}>; - var mm_Bsub : array, ${u/e[0]}>, ${n}>; + acc[i] = fma(BCached0, vec4(ACached.x), acc[i]); + acc[i] = fma(BCached1, vec4(ACached.y), acc[i]); + acc[i] = fma(BCached2, vec4(ACached.z), acc[i]); + ${t===3?"":"acc[i] = fma(BCached3, vec4(ACached.w), acc[i]);"} + }`;function s0(e,t,a=!1,n=32,r=!1,s=32,i=!1){let o=t[1]*e[1],l=t[0]*e[0],u=a?o:n,p=a?n:o,c=u/t[0],d=n/t[1],h=e[1];return v.assert((a&&c===4&&e[1]===4||!a&&(c===3||c===4))&&u%t[0]===0&&n%t[1]===0&&e[0]===4,()=>`If transposeA ${a} is true, innerElementSize ${c} and workPerThread[1] ${e[1]} must be 4. + Otherwise, innerElementSize ${c} must be 3 or 4. + tileAWidth ${u} must be divisible by workgroupSize[0]${t[0]}. tileInner ${n} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`),` + var mm_Asub : array, ${u/c}>, ${p}>; + var mm_Bsub : array, ${l/e[0]}>, ${n}>; - ${ke()} { + ${de()} { let localRow = i32(localId.y); - let tileRow = ${i?"0":`localRow * ${f}`}; + let tileRow = localRow * ${h}; let tileCol = i32(localId.x); - let globalRow = ${i?"0":`i32(globalId.y) * ${f}`}; + let globalRow = i32(globalId.y) * ${h}; let globalCol = i32(globalId.x); let batch = ${r?"0":"i32(globalId.z)"}; - let batchA = ${r||!o?"batch":"batch % uniforms.aShape[0]"}; - let batchB = ${r||!o?"batch":"batch % uniforms.bShape[0]"}; - let globalRowStart = i32(workgroupId.y) * ${l}; + let batchA = ${r||!i?"batch":"batch % uniforms.aShape[0]"}; + let batchB = ${r||!i?"batch":"batch % uniforms.bShape[0]"}; + let globalRowStart = i32(workgroupId.y) * ${o}; let numTiles = ${r?`${Math.ceil(s/n)}`:`(uniforms.dimInner - 1) / ${n} + 1`}; var kStart = ${r?`i32(globalId.z) * ${s}`:"0"}; - var acc: array, ${f}>; + var acc: array, ${h}>; // Loop over shared dimension. - let tileRowB = localRow * ${h}; + let tileRowB = localRow * ${d}; for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${h}; innerRow++) { let inputRow = tileRow + innerRow; let inputCol = tileCol; - ${vse(a,d)} + ${Yle(a,c)} } // Load one tile of B into local memory. - for (var innerRow = 0; innerRow < ${h}; innerRow++) { + for (var innerRow = 0; innerRow < ${d}; innerRow++) { let inputRow = tileRowB + innerRow; let inputCol = tileCol; mm_Bsub[inputRow][inputCol] = mm_readB(batchB, kStart + inputRow, globalCol); @@ -5494,22 +5537,22 @@ return a / b;`,jK=` workgroupBarrier(); // Compute acc values for a single thread. - for (var k = 0; k < ${n/d}; k++) { - let BCached0 = mm_Bsub[k * ${d}][tileCol]; - let BCached1 = mm_Bsub[k * ${d} + 1][tileCol]; - let BCached2 = mm_Bsub[k * ${d} + 2][tileCol]; - ${d===3?"":`let BCached3 = mm_Bsub[k * ${d} + 3][tileCol];`} + for (var k = 0; k < ${n/c}; k++) { + let BCached0 = mm_Bsub[k * ${c}][tileCol]; + let BCached1 = mm_Bsub[k * ${c} + 1][tileCol]; + let BCached2 = mm_Bsub[k * ${c} + 2][tileCol]; + ${c===3?"":`let BCached3 = mm_Bsub[k * ${c} + 3][tileCol];`} - ${kse(a,d,f)} + ${Zle(a,c,h)} } workgroupBarrier(); } - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${h}; innerRow++) { mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); } - }`}var Gy=e=>e?` + }`}var Ox=e=>e?` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart + inputCol); @@ -5517,7 +5560,7 @@ return a / b;`,jK=` mm_Asub[inputRow][inputCol] = mm_readA(batchA, globalRowStart + inputRow, kStart + inputCol); - `,wse=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];";function Lh(e,t,a=!1,n=32,r=!1,s=32,i=!1,o=!1){let l=e[1]*t[1],u=e[0]*t[0],p=a?l:n,c=a?n:l;v.assert(c%t[1]===0&&p%t[0]===0&&n%t[1]===0,()=>`tileAHight ${c} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${p} must be divisible by workgroupSize[0]${t[0]}, tileInner ${n} must be divisible by workgroupSize[1]${t[1]}`);let d=c/t[1],h=p/t[0],f=n/t[1],m=e[1],g=e[0],y=i?` + `,Jle=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];";function i0(e,t,a=!1,n=32,r=!1,s=32,i=!1,o=!1){let l=e[1]*t[1],u=e[0]*t[0],p=a?l:n,c=a?n:l;v.assert(c%t[1]===0&&p%t[0]===0&&n%t[1]===0,()=>`tileAHight ${c} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${p} must be divisible by workgroupSize[0]${t[0]}, tileInner ${n} must be divisible by workgroupSize[1]${t[1]}`);let d=c/t[1],h=p/t[0],f=n/t[1],m=e[1],g=e[0],y=i?` let localRow = i32(localId.y); let localCol = i32(localId.x); let globalRowStart = i32(workgroupId.y) * ${l}; @@ -5528,7 +5571,7 @@ return a / b;`,jK=` // Load one tile of A into local memory. for (var inputRow = localRow; inputRow < ${c}; inputRow = inputRow + ${t[1]}) { for (var inputCol = localCol; inputCol < ${p}; inputCol = inputCol + ${t[0]}) { - ${Gy(a)} + ${Ox(a)} } } // Load one tile of B into local memory. @@ -5551,8 +5594,8 @@ return a / b;`,jK=` for (var innerRow = 0; innerRow < ${m}; innerRow++) { let ACached = ${a?`mm_Asub[k][localRow + innerRow * ${t[1]}];`:`mm_Asub[localRow + innerRow * ${t[1]}][k];`} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + - ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -5583,7 +5626,7 @@ return a / b;`,jK=` for (var innerCol = 0; innerCol < ${h}; innerCol++) { let inputRow = tileRowA + innerRow; let inputCol = tileColA + innerCol; - ${Gy(a)} + ${Ox(a)} } } @@ -5608,9 +5651,10 @@ return a / b;`,jK=` } for (var innerRow = 0; innerRow < ${m}; innerRow++) { - ${wse(a)} + ${Jle(a)} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -5628,7 +5672,7 @@ return a / b;`,jK=` var mm_Asub : array, ${c}>; var mm_Bsub : array, ${n}>; - ${ke()} { + ${de()} { let batch = ${r?"0":"i32(globalId.z)"}; let batchA = ${r||!o?"batch":"batch % uniforms.aShape[0]"}; let batchB = ${r||!o?"batch":"batch % uniforms.bShape[0]"}; @@ -5645,7 +5689,7 @@ return a / b;`,jK=` } ${y} } - `}var Ise=e=>e?` + `}var Qle=e=>e?` mm_readA(batchA, colA, globalRow), mm_readA(batchA, colA + 1, globalRow), mm_readA(batchA, colA + 2, globalRow), @@ -5655,10 +5699,10 @@ return a / b;`,jK=` mm_readA(batchA, globalRow, colA + 1), mm_readA(batchA, globalRow, colA + 2), mm_readA(batchA, globalRow, colA + 3) - `;function Sse(e,t=!1){v.assert(e[1]===1&&e[2]===1,()=>`A linear work group size is required. But got ${e}.`);let a=e[0]*4;return` + `;function eue(e,t=!1){v.assert(e[1]===1&&e[2]===1,()=>`A linear work group size is required. But got ${e}.`);let a=e[0]*4;return` var mm_Asub : array, ${e[0]}>; - ${ke()} { + ${de()} { let tileCol = i32(localId.x); let globalCol = i32(globalId.x); let globalRow = i32(globalId.y); @@ -5674,7 +5718,7 @@ return a / b;`,jK=` for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. let colA = t * ${a} + tileCol * 4; - mm_Asub[tileCol] = vec4(${Ise(t)}); + mm_Asub[tileCol] = vec4(${Qle(t)}); workgroupBarrier(); // Compute acc values for a single thread. @@ -5694,13 +5738,13 @@ return a / b;`,jK=` mm_write(batch, globalRow, globalCol, acc); } - `}var Tse=class{constructor(e,t,a=!1,n=!1,r=null,s=null,i=null,o=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let l=a?e[1]:e[2];if(this.isVec4=(l%4===0&&!a||t[1]%4===0&&a)&&t[2]%4===0&&!n,this.isVectorA=t[1]===1&&!a,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let c=C8(t[1],l,t[2],a);this.workgroupSize=c.workgroupSize,this.elementsPerThread=c.elementsPerThread}this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let u=r!=null,p=i!=null;u&&this.variableNames.push("bias"),p&&this.variableNames.push("preluActivationWeights"),this.sequentialAccessByThreads=o,this.transposeA=a,this.transposeB=n,this.addBias=u,this.activation=s,this.hasPreluActivationWeights=p,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],l),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${a}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,a){let n=this.workgroupSize[1]*this.elementsPerThread[1],r=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=r;let s=e%n===0,i=t%r===0,o=a%this.tileInner===0;return[s,i,o]}getUserCode(){return` - ${Cr(this.activation,this.hasPreluActivationWeights,this.isVec4)} - ${W3(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)} - ${this.isVec4?zh(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.isVectorA,!0):this.isVectorA?Sse(this.workgroupSize,this.transposeA):Lh(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)} - `}};function Cse(e){return` + `}var tue=class{constructor(e,t,a=!1,n=!1,r=null,s=null,i=null,o=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let l=a?e[1]:e[2];if(this.isVec4=(l%4===0&&!a||t[1]%4===0&&a)&&t[2]%4===0&&!n,this.outputComponent=this.isVec4?4:1,this.isVectorA=t[1]===1&&!a,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let c=Yw(t[1],l,t[2],a);this.workgroupSize=c.workgroupSize,this.elementsPerThread=c.elementsPerThread}this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let u=r!=null,p=i!=null;u&&this.variableNames.push("bias"),p&&this.variableNames.push("preluActivationWeights"),this.sequentialAccessByThreads=o,this.transposeA=a,this.transposeB=n,this.addBias=u,this.activation=s,this.hasPreluActivationWeights=p,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],l),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${a}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,a){let n=this.workgroupSize[1]*this.elementsPerThread[1],r=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=r;let s=e%n===0,i=t%r===0,o=a%this.tileInner===0;return[s,i,o]}getUserCode(){return` + ${Mr(this.activation,this.hasPreluActivationWeights,this.isVec4)} + ${$g(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)} + ${this.isVec4?s0(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,!0):this.isVectorA?eue(this.workgroupSize,this.transposeA):i0(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)} + `}};function aue(e){return` var sumValues : array; - ${ke()} { + ${de()} { let coords = getOutputCoords(); let batch = coords[0]; let batchA = batch % uniforms.aShape[0]; @@ -5731,11 +5775,11 @@ return a / b;`,jK=` mm_write(batch, row, col, sum); } } - `}var Nse=class{constructor(e,t=!1,a=!1,n=null,r=null,s=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,o=s!=null;i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.transposeA=t,this.transposeB=a,this.addBias=i,this.activation=r,this.hasPreluActivationWeights=o,this.shaderKey=`matMulReduce_${this.activation}_${t}_${a}`}getUserCode(){return` - ${Cr(this.activation,this.hasPreluActivationWeights)} - ${W3(this.addBias,this.activation,this.transposeA,this.transposeB)} - ${Cse(this.workgroupSize[0])} - `}};function Ese(e){let t=e[1],a=e[0],n=t>a?t:a;return` + `}var nue=class{constructor(e,t=!1,a=!1,n=null,r=null,s=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,o=s!=null;i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.transposeA=t,this.transposeB=a,this.addBias=i,this.activation=r,this.hasPreluActivationWeights=o,this.shaderKey=`matMulReduce_${this.activation}_${t}_${a}`}getUserCode(){return` + ${Mr(this.activation,this.hasPreluActivationWeights)} + ${$g(this.addBias,this.activation,this.transposeA,this.transposeB)} + ${aue(this.workgroupSize[0])} + `}};function rue(e){let t=e[1],a=e[0],n=t>a?t:a;return` var mm_Asub : array, ${t}>; var mm_Bsub : array, ${n}>; @@ -5745,7 +5789,7 @@ return a / b;`,jK=` // shared memory, so it is instruction-Level parallelism for arithmetic // operations and others handle IO operations between barrier api, makes ALU // and load/store units work simultaneously, could improves the performance. - ${ke()} { + ${de()} { let tileRow = i32(localId.y); let tileCol = i32(localId.x); let globalRow = i32(globalId.y); @@ -5787,13 +5831,13 @@ return a / b;`,jK=` mm_write(batch, globalRow, globalCol, acc); } - `}var Rse=class{constructor(e,t,a,n=!1,r=!1,s=null,i=null,o=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[16,8,1],this.outputShape=a,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(a[2]/this.workgroupSize[0]),Math.ceil(a[1]/this.workgroupSize[1]),a[0]];let l=s!=null;l&&this.variableNames.push("bias");let u=o!=null;u&&this.variableNames.push("preluActivationWeights"),this.transposeA=n,this.transposeB=r,this.addBias=l,this.activation=i,this.hasPreluActivationWeights=u,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${r}`}getUserCode(){return` - ${Cr(this.activation,this.hasPreluActivationWeights)} - ${W3(this.addBias,this.activation,this.transposeA,this.transposeB)} - ${Ese(this.workgroupSize)} - `}},Mse=class{constructor(e,t,a=!1,n=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[8,8,1],this.atomic=!0,this.isVec4=!1,this.splitedDimInner=128,v.assert(e[0]===1,()=>"MatMulSplitKProgram only supports batch = 1."),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]},this.isVec4=(a&&this.outputShape[1]%4===0||!a&&t%4===0)&&this.outputShape[2]%4===0,this.elementsPerThread=[4,4,this.splitedDimInner],this.isVec4||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=we(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=a,this.transposeB=n,this.shaderKey=`matMulSplitK_${a}_${n}_${this.elementsPerThread}_${this.isVec4}`}getUserCode(){let e=this.isVec4?4:1;return` - ${R8(!1,this.transposeB,!1,!1,!1,e)} - fn mm_write(batch: i32, row : i32, colIn : i32, value : ${$t(e)}) { + `}var sue=class{constructor(e,t,a,n=!1,r=!1,s=null,i=null,o=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[16,8,1],this.outputShape=a,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(a[2]/this.workgroupSize[0]),Math.ceil(a[1]/this.workgroupSize[1]),a[0]];let l=s!=null;l&&this.variableNames.push("bias");let u=o!=null;u&&this.variableNames.push("preluActivationWeights"),this.transposeA=n,this.transposeB=r,this.addBias=l,this.activation=i,this.hasPreluActivationWeights=u,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${r}`}getUserCode(){return` + ${Mr(this.activation,this.hasPreluActivationWeights)} + ${$g(this.addBias,this.activation,this.transposeA,this.transposeB)} + ${rue(this.workgroupSize)} + `}},iue=class{constructor(e,t,a=!1,n=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[8,8,1],this.atomic=!0,this.splitedDimInner=128,v.assert(e[0]===1,()=>"MatMulSplitKProgram only supports batch = 1."),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]};let r=(a&&this.outputShape[1]%4===0||!a&&t%4===0)&&this.outputShape[2]%4===0;this.elementsPerThread=[4,4,this.splitedDimInner],this.outputComponent=r?4:1,r||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=ce(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=a,this.transposeB=n,this.shaderKey=`matMulSplitK_${a}_${n}_${this.elementsPerThread}_${this.outputComponent}`}getUserCode(){let e=this.outputComponent;return` + ${Zw(!1,this.transposeB,!1,!1,!1,e)} + fn mm_write(batch: i32, row : i32, colIn : i32, value : ${Xe(e)}) { let col = colIn * ${e}; if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) { let coords = vec3(batch, row, col); @@ -5801,34 +5845,34 @@ return a / b;`,jK=` // The problem is that we should initialize output to zero before using. // Otherwise, the original value will be added to the result. for (var i = 0; i < ${e}; i = i + 1) { - ${O3("&result[flatIndex + i]",`${e>1?"value[i]":"value"}`,"float32")} + ${Gu("&result[flatIndex + i]",`${e>1?"value[i]":"value"}`,"float32")} } } } - ${this.isVec4?zh(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):Lh(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)} - `}},$se=class{constructor(e,t=null,a=null,n=null){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=a,this.addBias&&this.variableNames.push("bias"),this.hasPreluActivationWeights&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`biasActivation_${a}`}getUserCode(){return` - ${Cr(this.activation,this.hasPreluActivationWeights)} - ${ke("index")} { + ${e===4?s0(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):i0(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)} + `}},oue=class{constructor(e,t=null,a=null,n=null){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=a,this.addBias&&this.variableNames.push("bias"),this.hasPreluActivationWeights&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`biasActivation_${a}`}getUserCode(){return` + ${Mr(this.activation,this.hasPreluActivationWeights)} + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var value = getXByOutputIndex(index); - ${ko(this.addBias,this.activation)} + ${Yo(this.addBias,this.activation)} setOutputAtIndex(index, value); } } - `}},_se=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="value : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="fill"}getUserCode(){return` - ${ke("index")} { + `}},lue=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="value : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="fill"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.value); } } - `}};function Nr(e){let{backend:t,attrs:a}=e,{shape:n,value:r}=a,{dtype:s}=a;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(n));return i.fill(r),t.makeTensorInfo(n,s,i)}else{let i=new _se(n),o=[{type:"float32",data:[r]}];return t.runWebGPUProgram(i,[],s,o)}}var Pse={kernelName:Pl,backendName:"webgpu",kernelFunc:Nr};function Ie(e){let{inputs:t,attrs:a}=e,{x:n}=t,{shape:r}=a,s=v.sizeFromShape(n.shape),i=v.inferFromImplicitShape(r,s),o=v.sizeFromShape(i);return v.assert(s===o,()=>`The new shape (${i}) has ${o} elements and the old shape (${n.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),e.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var Fse={kernelName:Hl,backendName:"webgpu",kernelFunc:Ie};function Bh({a:e,b:t,transposeA:a,transposeB:n,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let u=e.shape.length,p=t.shape.length,c=a?e.shape[u-2]:e.shape[u-1],d=n?t.shape[p-1]:t.shape[p-2],h=a?e.shape[u-1]:e.shape[u-2],f=n?t.shape[p-2]:t.shape[p-1],m=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=v.sizeFromShape(m),x=v.sizeFromShape(g),A=xo.assertAndGetBroadcastShape(e.shape.slice(0,-2),t.shape.slice(0,-2)).concat([h,f]);v.assert(c===d,()=>`Error in matMul: inner shapes (${c}) and (${d}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${a} and transposeB=${n} must match.`);let b=a?[y,c,h]:[y,h,c],k=n?[x,f,d]:[x,d,f],S=Ie({inputs:{x:e},backend:r,attrs:{shape:b}}),C=Ie({inputs:{x:t},backend:r,attrs:{shape:k}}),N=[S,C],$=Math.max(y,x),M=[S,C],R=[{type:"int32",data:[h]},{type:"int32",data:[f]},{type:"int32",data:[c]}],I,_,D=[$,h,f],W=V().get("WEBGPU_MATMUL_PROGRAM_TYPE");if(W<0){let U=V().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),G=U>0?U:r.thresholdToIncreaseWorkgroups,q=$*Math.ceil(h/32)*Math.ceil(f/32);q<=G||h<=8&&q<=G*2?$*h*f<=128?W=Pn.MatMulReduceProgram:$===1&&d>=2e3?W=Pn.MatMulSplitKProgram:W=Pn.MatMulSmallOutputSizeProgram:W=Pn.MatMulPackedProgram}switch(W){case Pn.MatMulReduceProgram:I=new Nse(D,a,n,s,l,i);break;case Pn.MatMulSplitKProgram:{if(_=Nr({backend:r,attrs:{shape:D,value:0,dtype:e.dtype}}),I=new Mse(D,d,a,n),s||l){_=r.runWebGPUProgram(I,M,e.dtype,R,_);let G=new $se(_.shape,s,l,i),q=null,H=[_];s&&H.push(s),i&&H.push(i),l==="leakyrelu"&&(q=[{type:"float32",data:[o]}],G.uniforms+=" alpha : f32,");let B=r.runWebGPUProgram(G,H,_.dtype,q);N.push(_);let Z=Ie({inputs:{x:B},backend:r,attrs:{shape:A}});N.push(B);for(let X of N)r.disposeData(X.dataId);return Z}break}case Pn.MatMulSmallOutputSizeProgram:I=new Rse(b,k,D,a,n,s,l,i);break;case Pn.MatMulPackedProgram:let U=r.adapterInfo.isIntel();I=new Tse(b,D,a,n,s,l,i,U);break;default:throw new Error(`Unsupported MatMulProgramType ${W}.`)}s&&M.push(s),i&&M.push(i),l==="leakyrelu"&&(R.push({type:"float32",data:[o]}),I.uniforms+=" alpha : f32,"),_=r.runWebGPUProgram(I,M,e.dtype,R,_);let P=Ie({inputs:{x:_},backend:r,attrs:{shape:A}});N.push(_);for(let U of N)r.disposeData(U.dataId);return P}function Ose(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n;return Bh({a:r,b:s,transposeA:l,transposeB:u,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:c,activation:p})}var Dse={kernelName:Hr,backendName:"webgpu",kernelFunc:Ose},Hy=class{constructor(e,t,a){this.variableNames=["AReal","AImag","BReal","BImag"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=T.assertAndGetBroadcastShape(t,a),this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return` + `}};function Mn(e){let{backend:t,attrs:a}=e,{shape:n,value:r}=a,{dtype:s}=a;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(n));return i.fill(r),t.makeTensorInfo(n,s,i)}else{let i=new lue(n),o=[{type:"float32",data:[r]}];return t.runWebGPUProgram(i,[],s,o)}}var uue={kernelName:du,backendName:"webgpu",kernelFunc:Mn};function we(e){let{inputs:t,attrs:a}=e,{x:n}=t,{shape:r}=a,s=v.sizeFromShape(n.shape),i=v.inferFromImplicitShape(r,s),o=v.sizeFromShape(i);return v.assert(s===o,()=>`The new shape (${i}) has ${o} elements and the old shape (${n.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),e.backend.incRef(n.dataId),{dataId:n.dataId,shape:i,dtype:n.dtype}}var due={kernelName:bu,backendName:"webgpu",kernelFunc:we};function o0({a:e,b:t,transposeA:a,transposeB:n,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let u=e.shape.length,p=t.shape.length,c=a?e.shape[u-2]:e.shape[u-1],d=n?t.shape[p-1]:t.shape[p-2],h=a?e.shape[u-1]:e.shape[u-2],f=n?t.shape[p-2]:t.shape[p-1],m=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=v.sizeFromShape(m),x=v.sizeFromShape(g),A=Ho.assertAndGetBroadcastShape(e.shape.slice(0,-2),t.shape.slice(0,-2)).concat([h,f]);v.assert(c===d,()=>`Error in matMul: inner shapes (${c}) and (${d}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${a} and transposeB=${n} must match.`);let b=a?[y,c,h]:[y,h,c],w=n?[x,f,d]:[x,d,f],C=we({inputs:{x:e},backend:r,attrs:{shape:b}}),T=we({inputs:{x:t},backend:r,attrs:{shape:w}}),N=[C,T],M=Math.max(y,x),F=[C,T],E=[{type:"int32",data:[h]},{type:"int32",data:[f]},{type:"int32",data:[c]}],I,_,O=[M,h,f],B=W().get("WEBGPU_MATMUL_PROGRAM_TYPE");if(B<0){let U=W().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),G=U>0?U:r.thresholdToIncreaseWorkgroups,q=M*Math.ceil(h/32)*Math.ceil(f/32);q<=G||h<=8&&q<=G*2?M*h*f<=128?B=Pn.MatMulReduceProgram:M===1&&d>=2e3?B=Pn.MatMulSplitKProgram:B=Pn.MatMulSmallOutputSizeProgram:B=Pn.MatMulPackedProgram}switch(B){case Pn.MatMulReduceProgram:I=new nue(O,a,n,s,l,i);break;case Pn.MatMulSplitKProgram:{if(_=Mn({backend:r,attrs:{shape:O,value:0,dtype:e.dtype}}),I=new iue(O,d,a,n),s||l){_=r.runWebGPUProgram(I,F,e.dtype,E,_);let G=new oue(_.shape,s,l,i),q=null,H=[_];s&&H.push(s),i&&H.push(i),l==="leakyrelu"&&(q=[{type:"float32",data:[o]}],G.uniforms+=" alpha : f32,");let V=r.runWebGPUProgram(G,H,_.dtype,q);N.push(_);let Z=we({inputs:{x:V},backend:r,attrs:{shape:A}});N.push(V);for(let X of N)r.disposeData(X.dataId);return Z}break}case Pn.MatMulSmallOutputSizeProgram:I=new sue(b,w,O,a,n,s,l,i);break;case Pn.MatMulPackedProgram:let U=r.adapterInfo.isIntel();I=new tue(b,O,a,n,s,l,i,U);break;default:throw new Error(`Unsupported MatMulProgramType ${B}.`)}s&&F.push(s),i&&F.push(i),l==="leakyrelu"&&(E.push({type:"float32",data:[o]}),I.uniforms+=" alpha : f32,"),_=r.runWebGPUProgram(I,F,e.dtype,E,_);let $=we({inputs:{x:_},backend:r,attrs:{shape:A}});N.push(_);for(let U of N)r.disposeData(U.dataId);return $}function pue(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:c}=n;return o0({a:r,b:s,transposeA:l,transposeB:u,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:c,activation:p})}var cue={kernelName:Xr,backendName:"webgpu",kernelFunc:pue},zx=class{constructor(e,t,a){this.variableNames=["AReal","AImag","BReal","BImag"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=S.assertAndGetBroadcastShape(t,a),this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return` fn binaryOpComplex( areal : f32, aimag : f32, breal : f32, bimag : f32) -> f32 { - ${B3(this.op,!1)} + ${_g(this.op,!1)} } - ${ke("index")} { + ${de("index")} { if(index < uniforms.size) { let areal = getARealByOutputIndex(index); let aimag = getAImagByOutputIndex(index); @@ -5837,19 +5881,16 @@ return a / b;`,jK=` setOutputAtIndex(index, binaryOpComplex(areal, aimag, breal, bimag)); } } - `}},M2=class{constructor(e,t,a){this.size=!0,this.variableNames=["A","B"],this.outputShape=T.assertAndGetBroadcastShape(t,a),this.dispatchLayout=$e(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&a.length>1&&t[0]<128,this.useSharedMemoryWithB=a.length<=1&&t.length>1&&a[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB?(this.isVec4=!1,this.lastDimensionSize=this.useSharedMemoryWithB?a[0]:t[0],this.shaderKey=`binary_${this.type}_${e}_${this.lastDimensionSize}_${this.useSharedMemoryWithB}`,this.type="shared",this.workgroupSize=[256,1,1],this.workPerThread=1):(v.arraysEqual(t,a)&&v.sizeFromShape(t)%4===0?(this.isVec4=!0,this.type="vec4",this.workPerThread=4):(this.isVec4=!1,this.type="plain",this.workPerThread=1),this.shaderKey=`binary_${this.type}_${e}`,this.workgroupSize=[128,1,1]),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1])}getUserCode(){let e,t=this.isVec4?"vec4":"f32",a=` + `}},xh=class{constructor(e,t,a){if(this.size=!0,this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(t,a),this.dispatchLayout=be(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&a.length>1&&t[0]<128,this.useSharedMemoryWithB=a.length<=1&&t.length>1&&a[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB)this.outputComponent=1,this.variableComponents=[1,1],this.lastDimensionSize=this.useSharedMemoryWithB?a[0]:t[0],this.shaderKey=`binary_${e}_${this.lastDimensionSize}`,this.type="shared",this.workgroupSize=[256,1,1];else{let n=t.length>0&&t[t.length-1]%4===0,r=a.length>0&&a[a.length-1]%4===0;n&&r?(this.outputComponent=4,this.variableComponents=[4,4]):n&&(v.isScalarShape(a)||a[a.length-1]===1)||r&&(v.isScalarShape(t)||t[t.length-1]===1)?(this.outputComponent=4,this.variableComponents=n?[4,1]:[1,4]):(this.outputComponent=1,this.variableComponents=[1,1]),this.type="nonshared",this.shaderKey=`binary_${e}_${this.variableComponents}`,this.workgroupSize=[128,1,1]}this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.outputComponent,1,1])}getUserCode(){let e,t=this.outputComponent===4?"vec4":"f32",a=` fn binaryOperation(a : ${t}, b : ${t}) -> ${t} { - let isNaN = false; - { - ${B3(this.op,this.isVec4)} - } + ${_g(this.op,this.outputComponent===4)} }; `;if(this.type==="shared"){let n=this.lastDimensionSize>1?`coords[${this.outputShape.length-1}]`:"0",r=this.useSharedMemoryWithB?`let a = getAByOutputIndex(index); let b = sharedBuf[${n}];`:`let a = sharedBuf[${n}]; let b = getBByOutputIndex(index);`;e=` ${a} var sharedBuf : array; - ${ke("index")} { + ${de("index")} { // Fill in the shared memory buffer. let localIndex = i32(localId.x); if(localIndex < ${this.lastDimensionSize}) { @@ -5865,25 +5906,26 @@ return a / b;`,jK=` } `}else e=` ${a} - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { - let a = getAByOutputIndex(index); - let b = getBByOutputIndex(index); + let coords = getCoordsFromIndex(index * ${this.outputComponent}); + let a = ${t}(getAByOutputCoords(coords)); + let b = ${t}(getBByOutputCoords(coords)); setOutputAtIndex(index, binaryOperation(a, b)); } } - `;return e}};function en(e){let{inputs:t}=e,{x:a}=t;return e.backend.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var zse={kernelName:wi,backendName:"webgpu",kernelFunc:en};function wo(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.makeTensorInfo(n.shape,"complex64"),i=a.tensorMap.get(s.dataId),o=en({inputs:{x:n},backend:a}),l=en({inputs:{x:r},backend:a});return i.complexTensorInfos={real:o,imag:l},s}var Lse={kernelName:Td,backendName:"webgpu",kernelFunc:wo},xu=class{constructor(e,t,a=""){this.variableNames=["A"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,a!==""&&(this.uniforms=a),this.shaderKey=`unary_${t}`}getUserCode(){return` + `;return e}};function tn(e){let{inputs:t}=e,{x:a}=t;return e.backend.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var hue={kernelName:zi,backendName:"webgpu",kernelFunc:tn};function Zo(e){let{inputs:t,backend:a}=e,{real:n,imag:r}=t,s=a.makeTensorInfo(n.shape,"complex64"),i=a.tensorMap.get(s.dataId),o=tn({inputs:{x:n},backend:a}),l=tn({inputs:{x:r},backend:a});return i.complexTensorInfos={real:o,imag:l},s}var fue={kernelName:tp,backendName:"webgpu",kernelFunc:Zo},Hu=class{constructor(e,t,a=""){this.variableNames=["A"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,a!==""&&(this.uniforms=a),this.shaderKey=`unary_${t}`}getUserCode(){return` fn unaryOperation(a : f32) -> f32 { - ${$s(this.op,!1)} + ${Ds(this.op,!1)} } - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let a = getAByOutputIndex(index); setOutputAtIndex(index, unaryOperation(a)); } } - `}};function et({opType:e,cpuKernelImpl:t,dtype:a}){return({inputs:n,backend:r})=>{let{x:s}=n,i=r,o=a||s.dtype;if(i.shouldExecuteOnCPU([s])&&t!=null){let u=i.tensorMap.get(s.dataId),p=t(u.values,o);return i.makeTensorInfo(s.shape,o,p)}let l=new xu(s.shape,e);return i.runWebGPUProgram(l,[s],o)}}function Jt({opType:e,cpuKernelImpl:t,supportsComplex:a=!1,dtype:n}){return({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(a&&i.dtype==="complex64"){let c=l.tensorMap.get(i.dataId),d=l.tensorMap.get(o.dataId),h,f;if(e!==Pe.MUL)[h,f]=[[c.complexTensorInfos.real,d.complexTensorInfos.real],[c.complexTensorInfos.imag,d.complexTensorInfos.imag]].map(g=>{let[y,x]=g,A={dataId:y.dataId,dtype:y.dtype,shape:i.shape},b={dataId:x.dataId,dtype:x.dtype,shape:o.shape},k=new M2(e,i.shape,o.shape);return l.runWebGPUProgram(k,[A,b],ma(y.dtype,x.dtype))});else{let g=new Hy(Pe.COMPLEX_MULTIPLY_REAL,i.shape,o.shape),y=new Hy(Pe.COMPLEX_MULTIPLY_IMAG,i.shape,o.shape),x=[{dataId:c.complexTensorInfos.real.dataId,dtype:c.complexTensorInfos.real.dtype,shape:i.shape},{dataId:c.complexTensorInfos.imag.dataId,dtype:c.complexTensorInfos.imag.dtype,shape:i.shape},{dataId:d.complexTensorInfos.real.dataId,dtype:d.complexTensorInfos.real.dtype,shape:o.shape},{dataId:d.complexTensorInfos.imag.dataId,dtype:d.complexTensorInfos.imag.dtype,shape:o.shape}];h=l.runWebGPUProgram(g,x,"float32"),f=l.runWebGPUProgram(y,x,"float32")}let m=wo({inputs:{real:h,imag:f},backend:l});return l.disposeData(h.dataId),l.disposeData(f.dataId),m}let u=n||ma(i.dtype,o.dtype);if((i.dtype==="string"||o.dtype==="string"||l.shouldExecuteOnCPU([i,o]))&&t!=null){let c=l.tensorMap.get(i.dataId).values,d=l.tensorMap.get(o.dataId).values,h=i.dtype==="string"?T.fromUint8ToStringArray(c):c,f=i.dtype==="string"?T.fromUint8ToStringArray(d):d,[m,g]=t(i.shape,o.shape,h,f,u);return l.makeTensorInfo(g,u,m)}let p=new M2(e,i.shape,o.shape);return l.runWebGPUProgram(p,[i,o],u)}}var{addImpl:Bse,castImpl:Wse,ceilImpl:Vse,concatImpl:Use,equalImpl:Gse,expImpl:Hse,expm1Impl:jse,floorImpl:qse,gatherNdImpl:Xse,gatherV2Impl:Kse,greaterEqualImpl:Zse,greaterImpl:Yse,lessEqualImpl:Jse,lessImpl:Qse,logImpl:eie,maxImpl:tie,maximumImpl:aie,minimumImpl:nie,multiplyImpl:rie,negImpl:sie,notEqualImpl:iie,prodImpl:oie,rangeImpl:lie,rsqrtImpl:uie,scatterImpl:die,simpleAbsImpl:pie,sliceImpl:cie,stridedSliceImpl:hie,stringNGramsImpl:fie,subImpl:mie,tileImpl:gie,topKImpl:yie,transposeImpl:xie,uniqueImpl:cfe}=Ch,Aie=et({opType:le.ABS,cpuKernelImpl:pie}),bie={kernelName:vl,backendName:"webgpu",kernelFunc:Aie},vie=et({opType:le.ACOS}),kie={kernelName:kl,backendName:"webgpu",kernelFunc:vie},wie=et({opType:le.ACOSH}),Iie={kernelName:wl,backendName:"webgpu",kernelFunc:wie},Sie=Jt({opType:Pe.ADD,cpuKernelImpl:Bse,supportsComplex:!0}),Tie={kernelName:ts,backendName:"webgpu",kernelFunc:Sie},Cie=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,a)=>`T${a}`),this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="addN"}getUserCode(){let e=[];this.variableNames.forEach(a=>{e.push(`let v${a} = get${a}ByOutputCoords(coords);`)});let t=this.variableNames.map(a=>`v${a}`).join(" + ");return` - ${ke("index")} { + `}};function tt({opType:e,cpuKernelImpl:t,dtype:a}){return({inputs:n,backend:r})=>{let{x:s}=n,i=r,o=a||s.dtype;if(i.shouldExecuteOnCPU([s])&&t!=null){let u=i.tensorMap.get(s.dataId),p=t(u.values,o);return i.makeTensorInfo(s.shape,o,p)}let l=new Hu(s.shape,e);return i.runWebGPUProgram(l,[s],o)}}function ta({opType:e,cpuKernelImpl:t,supportsComplex:a=!1,dtype:n}){return({inputs:r,backend:s})=>{let{a:i,b:o}=r,l=s;if(a&&i.dtype==="complex64"){let c=l.tensorMap.get(i.dataId),d=l.tensorMap.get(o.dataId),h,f;if(e!==_e.MUL)[h,f]=[[c.complexTensorInfos.real,d.complexTensorInfos.real],[c.complexTensorInfos.imag,d.complexTensorInfos.imag]].map(g=>{let[y,x]=g,A={dataId:y.dataId,dtype:y.dtype,shape:i.shape},b={dataId:x.dataId,dtype:x.dtype,shape:o.shape},w=new xh(e,i.shape,o.shape);return l.runWebGPUProgram(w,[A,b],pa(y.dtype,x.dtype))});else{let g=new zx(_e.COMPLEX_MULTIPLY_REAL,i.shape,o.shape),y=new zx(_e.COMPLEX_MULTIPLY_IMAG,i.shape,o.shape),x=[{dataId:c.complexTensorInfos.real.dataId,dtype:c.complexTensorInfos.real.dtype,shape:i.shape},{dataId:c.complexTensorInfos.imag.dataId,dtype:c.complexTensorInfos.imag.dtype,shape:i.shape},{dataId:d.complexTensorInfos.real.dataId,dtype:d.complexTensorInfos.real.dtype,shape:o.shape},{dataId:d.complexTensorInfos.imag.dataId,dtype:d.complexTensorInfos.imag.dtype,shape:o.shape}];h=l.runWebGPUProgram(g,x,"float32"),f=l.runWebGPUProgram(y,x,"float32")}let m=Zo({inputs:{real:h,imag:f},backend:l});return l.disposeData(h.dataId),l.disposeData(f.dataId),m}let u=n||pa(i.dtype,o.dtype);if((i.dtype==="string"||o.dtype==="string"||l.shouldExecuteOnCPU([i,o]))&&t!=null){let c=l.tensorMap.get(i.dataId).values,d=l.tensorMap.get(o.dataId).values,h=i.dtype==="string"?S.fromUint8ToStringArray(c):c,f=i.dtype==="string"?S.fromUint8ToStringArray(d):d,[m,g]=t(i.shape,o.shape,h,f,u);return l.makeTensorInfo(g,u,m)}let p=new xh(e,i.shape,o.shape);return l.runWebGPUProgram(p,[i,o],u)}}var{addImpl:mue,castImpl:gue,ceilImpl:yue,concatImpl:xue,equalImpl:Aue,expImpl:bue,expm1Impl:vue,floorImpl:wue,floorDivImpl:kue,gatherNdImpl:Iue,gatherV2Impl:Sue,greaterEqualImpl:Cue,greaterImpl:Tue,lessEqualImpl:Nue,lessImpl:Rue,logImpl:Eue,maxImpl:Mue,maximumImpl:Fue,minimumImpl:_ue,multiplyImpl:$ue,negImpl:Due,notEqualImpl:Pue,prodImpl:Oue,rangeImpl:zue,rsqrtImpl:Lue,scatterImpl:Wue,simpleAbsImpl:Bue,sliceImpl:Vue,stridedSliceImpl:Uue,stringNGramsImpl:Gue,subImpl:Hue,tileImpl:jue,topKImpl:que,transposeImpl:Xue,uniqueImpl:J3e}=Kh,Kue=tt({opType:le.ABS,cpuKernelImpl:Bue}),Yue={kernelName:Zl,backendName:"webgpu",kernelFunc:Kue},Zue=tt({opType:le.ACOS}),Jue={kernelName:Qs,backendName:"webgpu",kernelFunc:Zue},Que=tt({opType:le.ACOSH}),ede={kernelName:ei,backendName:"webgpu",kernelFunc:Que},tde=ta({opType:_e.ADD,cpuKernelImpl:mue,supportsComplex:!0}),ade={kernelName:ns,backendName:"webgpu",kernelFunc:tde},nde=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,a)=>`T${a}`),this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="addN"}getUserCode(){let e=[];this.variableNames.forEach(a=>{e.push(`let v${a} = get${a}ByOutputCoords(coords);`)});let t=this.variableNames.map(a=>`v${a}`).join(" + ");return` + ${de("index")} { for (var i = 0; i < ${this.workPerThread}; i = i + 1) { let flatIndex = index * ${this.workPerThread} + i; if (flatIndex < uniforms.size) { @@ -5894,9 +5936,9 @@ return a / b;`,jK=` } } } - `}};function Nie(e){let{inputs:t,backend:a}=e,n=t;if(n.length===1)return en({inputs:{x:n[0]},backend:a});let r=n.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=n.map(o=>o.shape),i=new Cie(s);return a.runWebGPUProgram(i,n,r)}var Eie={kernelName:Ks,backendName:"webgpu",kernelFunc:Nie},Rie=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[16,16,1];let a=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return` + `}};function rde(e){let{inputs:t,backend:a}=e,n=t;if(n.length===1)return tn({inputs:{x:n[0]},backend:a});let r=n.map(o=>o.dtype).reduce((o,l)=>pa(o,l)),s=n.map(o=>o.shape),i=new nde(s);return a.runWebGPUProgram(i,n,r)}var sde={kernelName:ti,backendName:"webgpu",kernelFunc:rde},ide=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[16,16,1];let a=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return` var tile : array, ${this.workgroupSize[0]}>; - ${ke()} { + ${de()} { var x = i32(workgroupId.x) * ${e} + i32(localId.x); var y = i32(workgroupId.y) * ${e} + i32(localId.y); let width = uniforms.outShape[0]; @@ -5913,8 +5955,8 @@ return a / b;`,jK=` [localId.y]); } } - `}},Mie=class{constructor(e,t){this.variableNames=["A"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0;let a=new Array(e.length);for(let n=0;n6)throw Error(`Transpose for rank ${t} is not yet supported`);let a=new Array(t);for(let n=0;n6)throw Error(`Transpose for rank ${t} is not yet supported`);let a=new Array(t);for(let n=0;n=32768&&a>=512?this.workgroupSize=[512,1,1]:e.inSize>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,[1,1,1]),this.reduceType=t,this.shaderKey=`reduce_${t}`}getUserCode(){let e="",t="0.0",a=this.workgroupSize[0];this.reduceType==="min"||this.reduceType==="max"?(e=` if (isnan(candidate)) { bestValue = uniforms.NAN; } else if (!isnan(bestValue) && candidate ${this.reduceType==="min"?"<":">"} bestValue) @@ -5941,7 +5983,7 @@ return a / b;`,jK=` let offset = ${this.outputShape.length===1?"outputCoords":"outputCoords[0]"} * uniforms.reduceSize; return offset; } - ${ke("index")} { + ${de("index")} { let outputIndex = index / ${a}; let offset = getOffset(outputIndex); var bestValue = ${t}; @@ -5972,7 +6014,7 @@ return a / b;`,jK=` ${n} } } - `}};function Io(e,t,a,n,r){let s=e.shape.length,i=[],o=v.parseAxisParam(t,e.shape),l=o,u=T.getAxesPermutation(l,s),p=e;u!=null&&(p=kr({inputs:{x:e},attrs:{perm:u},backend:r}),l=T.getInnerMostAxes(l.length,s),i.push(p)),T.assertAxesAreInnerMostDims(n,l,s);let[c,d]=T.computeOutAndReduceShapes(p.shape,l),h=c;a&&(h=T.expandShapeToKeepDim(c,o));let f;if((n==="max"||n==="prod")&&r.shouldExecuteOnCPU([p])){let m=r.tensorMap.get(p.dataId).values;switch(n){case"max":let g=tie(m,v.sizeFromShape(d),h,e.dtype);f=r.makeTensorInfo(h,e.dtype,g);break;case"prod":let{outVals:y,outShape:x,outDtype:A}=oie(p.shape,p.dtype,m,l);f=r.makeTensorInfo(x,A,y);break;default:throw new Error(`${n} CPU implementation is not yet supported.`)}}else{let m=v.sizeFromShape(d),g=v.sizeFromShape(p.shape)/m,y={windowSize:m,inSize:m,batchSize:g,outSize:1},x=n==="mean"?"float32":Xd(e.dtype),A=[{type:"int32",data:[m]}],b=new Pie(y,n),k=r.runWebGPUProgram(b,[p],x,A);i.push(k),f=Ie({inputs:{x:k},attrs:{shape:h},backend:r})}return i.forEach(m=>r.disposeData(m.dataId)),f}function Fie(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Io(r,i,s,"all",a)}var Oie={kernelName:Zs,backendName:"webgpu",kernelFunc:Fie};function Die(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Io(r,i,s,"any",a)}var zie={kernelName:Ys,backendName:"webgpu",kernelFunc:Die},M8=class{constructor(e,t,a){this.workgroupSize=[64,1,1],this.variableNames=["x"],this.uniforms="infinityValue : f32,",this.size=!0;let n=[t];this.op=a==="min"?"<":">";let[r,s]=T.computeOutAndReduceShapes(e,n);this.outputShape=r.length===0?[1]:r,this.dispatchLayout=$e(this.outputShape),v.sizeFromShape(s)<32||v.sizeFromShape(r)>1e3?(this.type="plain",this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type="shared",this.dispatch=we(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?"uniforms.xShape":`uniforms.xShape.${br(this.inputShape.length-1)}`,a=()=>{let n="";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+="outputCoords,");else for(let r=0;rr.disposeData(m.dataId)),f}function pde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Jo(r,i,s,"all",a)}var cde={kernelName:ai,backendName:"webgpu",kernelFunc:pde};function hde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Jo(r,i,s,"any",a)}var fde={kernelName:ni,backendName:"webgpu",kernelFunc:hde},Jw=class{constructor(e,t,a){this.workgroupSize=[64,1,1],this.variableNames=["x"],this.uniforms="infinityValue : f32,",this.size=!0;let n=[t];this.op=a==="min"?"<":">";let[r,s]=S.computeOutAndReduceShapes(e,n);this.outputShape=r.length===0?[1]:r,this.dispatchLayout=be(this.outputShape),v.sizeFromShape(s)<32||v.sizeFromShape(r)>1e3?(this.type="plain",this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type="shared",this.dispatch=ce(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?"uniforms.xShape":`uniforms.xShape.${Ir(this.inputShape.length-1)}`,a=()=>{let n="";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+="outputCoords,");else for(let r=0;r u32 { return ((a - 1u) / b + 1u); } @@ -5982,7 +6024,7 @@ return a / b;`,jK=` var xBestValues : array; `} - ${ke("index")} { + ${de("index")} { let outputIndex = index / ${e}; let reduceLength = ${t()}; @@ -6022,7 +6064,7 @@ return a / b;`,jK=` } } `:` - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let outputCoords = getCoordsFromIndex(index); var bestIndex = 0; @@ -6038,47 +6080,14 @@ return a / b;`,jK=` setOutputAtIndexI32(index, bestIndex); } } - `}};function Lie(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=kr({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=new M8(l.shape,i[0],"max"),c=[{type:"float32",data:[Number.NEGATIVE_INFINITY]}],d=a.runWebGPUProgram(p,[l],"int32",c);return u.forEach(h=>a.disposeData(h.dataId)),d}var Bie={kernelName:Js,backendName:"webgpu",kernelFunc:Lie};function Wie(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=kr({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=new M8(l.shape,i[0],"min"),c=[{type:"float32",data:[Number.POSITIVE_INFINITY]}],d=a.runWebGPUProgram(p,[l],"int32",c);return u.forEach(h=>a.disposeData(h.dataId)),d}var Vie={kernelName:Id,backendName:"webgpu",kernelFunc:Wie},Uie=et({opType:le.ASIN}),Gie={kernelName:Il,backendName:"webgpu",kernelFunc:Uie},Hie=et({opType:le.ASINH}),jie={kernelName:Sl,backendName:"webgpu",kernelFunc:Hie},qie=et({opType:le.ATAN}),Xie={kernelName:Tl,backendName:"webgpu",kernelFunc:qie},Kie=Jt({opType:Pe.ATAN2}),Zie={kernelName:Nl,backendName:"webgpu",kernelFunc:Kie},Yie=et({opType:le.ATANH}),Jie={kernelName:Cl,backendName:"webgpu",kernelFunc:Yie},jy=class{constructor(e,t){this.variableNames=["x"],this.uniforms="stride : vec2, pad : vec2, dilation : vec2, convDims : vec2, filterDims : vec2,",this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`pool2D_${t}`,this.poolType=t}getUserCode(){let e="resultValue = max(value, resultValue);";this.poolType==="avg"&&(e="resultValue = resultValue + value; count = count + 1.0;");let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` - ${ke("index")} { - if (index < uniforms.size) { - let coords = getCoordsFromIndex(index); - let batch = coords[0]; - let xRCCorner = vec2(coords.yz) * uniforms.stride - uniforms.pad; - let xRCorner = xRCCorner.x; - let xCCorner = xRCCorner.y; - - var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"}; - var count = 0.0; - - for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilation.x) { - let xR = xRCorner + wR; - - if (xR < 0 || xR >= uniforms.convDims.x) { - continue; - } - - for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilation.y) { - let xC = xCCorner + wC; - if (xC < 0 || xC >= uniforms.convDims.y) { - continue; - } - - let value = getX(batch, xR, xC, coords[3]); - ${e} - } - } - - setOutputAtIndex(index, ${t}); - } - } - `}},Qie=class{constructor(e){this.variableNames=["x"],this.uniforms="stride : vec2,",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="poolWithFilterSizeEqualsOne"}getUserCode(){return` - ${ke("index")} { + `}};function mde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=S.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Bn({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=S.getInnerMostAxes(i.length,l.shape.length)),S.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=new Jw(l.shape,i[0],"max"),c=[{type:"float32",data:[Number.NEGATIVE_INFINITY]}],d=a.runWebGPUProgram(p,[l],"int32",c);return u.forEach(h=>a.disposeData(h.dataId)),d}var gde={kernelName:Jl,backendName:"webgpu",kernelFunc:mde};function yde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s}=n,i=v.parseAxisParam(s,r.shape),o=S.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Bn({inputs:{x:r},backend:a,attrs:{perm:o}}),u.push(l),i=S.getInnerMostAxes(i.length,l.shape.length)),S.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=new Jw(l.shape,i[0],"min"),c=[{type:"float32",data:[Number.POSITIVE_INFINITY]}],d=a.runWebGPUProgram(p,[l],"int32",c);return u.forEach(h=>a.disposeData(h.dataId)),d}var xde={kernelName:Ql,backendName:"webgpu",kernelFunc:yde},Ade=tt({opType:le.ASIN}),bde={kernelName:ri,backendName:"webgpu",kernelFunc:Ade},vde=tt({opType:le.ASINH}),wde={kernelName:si,backendName:"webgpu",kernelFunc:vde},kde=tt({opType:le.ATAN}),Ide={kernelName:ii,backendName:"webgpu",kernelFunc:kde},Sde=ta({opType:_e.ATAN2}),Cde={kernelName:li,backendName:"webgpu",kernelFunc:Sde},Tde=tt({opType:le.ATANH}),Nde={kernelName:oi,backendName:"webgpu",kernelFunc:Tde},Rde=class{constructor(e){this.variableNames=["x"],this.uniforms="strides : vec2,",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="poolWithFilterSizeEqualsOne"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; let d = coords[3]; - let xRCCorner = coords.yz * uniforms.stride; + let xRCCorner = coords.yz * uniforms.strides; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -6086,9 +6095,99 @@ return a / b;`,jK=` setOutputAtIndex(index, value); } } - `}};function V3(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=n;return Io(r,s,i,"max",a)}var eoe={kernelName:$i,backendName:"webgpu",kernelFunc:V3};function $8(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Io(r,i,s,"mean",a)}var toe={kernelName:Fi,backendName:"webgpu",kernelFunc:$8};function _8(e,t,a,n){if(t.filterWidth===1&&t.filterHeight===1&&v.arraysEqual(t.inShape,t.outShape))return en({inputs:{x:e},backend:n});if(t.filterWidth===t.inWidth&&t.filterHeight===t.inHeight&&t.batchSize===1&&t.padInfo.type==="VALID"){let i=e.shape.length,o=Ie({inputs:{x:e},backend:n,attrs:{shape:[e.shape[i-3]*e.shape[i-2],e.shape[i-1]]}}),l;a==="avg"?l=$8({inputs:{x:o},backend:n,attrs:{axis:0,keepDims:!1}}):(v.assert(a==="max",()=>`Invalid pool type ${a}`),l=V3({inputs:{x:o},backend:n,attrs:{reductionIndices:0,keepDims:!1}}));let u=Ie({inputs:{x:l},backend:n,attrs:{shape:t.outShape}});return n.disposeData(o.dataId),n.disposeData(l.dataId),u}let r,s=[{type:"int32",data:[t.strideHeight,t.strideWidth]}];return t.filterHeight===1&&t.filterWidth===1?r=new Qie(t):(a==="avg"?r=new jy(t,"avg"):(v.assert(a==="max",()=>`Invalid pool type ${a}`),r=new jy(t,"max")),s.push({type:"int32",data:[t.padInfo.top,t.padInfo.left]},{type:"int32",data:[t.dilationHeight,t.dilationWidth]},{type:"int32",data:[t.inHeight,t.inWidth]},{type:"int32",data:[t.effectiveFilterHeight,t.effectiveFilterWidth]})),n.runWebGPUProgram(r,[e],e.dtype,s)}function aoe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1,p=T.computePool2DInfo(r.shape,s,i,u,o,l);return _8(r,p,"avg",a)}var noe={kernelName:Qs,backendName:"webgpu",kernelFunc:aoe},roe=class{constructor(e){this.variableNames=["dy"],this.uniforms=`stride : vec2, pads : vec2, dilation : vec2, filterDims : vec2, - outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avg_pool2d_backprop"}getUserCode(){return` - ${ke("index")} { + `}},Kd=class{constructor(e,t,a=!1,n=!1,r=!1){if(this.variableNames=["x"],this.uniforms="strides : vec2, pads : vec2, dilations : vec2, convDims : vec2, filterDims : vec2,",this.workgroupSize=[128,1,1],this.size=!0,t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=a,this.flattenPositions=n,this.includeBatchIndex=r,this.shaderKey=`pool2D_${t}_${a}_${n}_${r}`}getUserCode(){let e;this.poolType==="avg"?e="resultValue = resultValue + value; count = count + 1.0;":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions?this.includeBatchIndex?"((batch * uniforms.xShape[1] + xR) * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d":"(xR * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d":"wR * uniforms.filterDims.y + wC"}; + }`:e="resultValue = max(value, resultValue);";let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + let xRCCorner = vec2(coords.yz) * uniforms.strides - uniforms.pads; + let xRCorner = xRCCorner.x; + let xCCorner = xRCCorner.y; + + ${this.computePositions?`var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;`:`var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilations.x) { + let xR = xRCorner + wR; + + if (xR < 0 || xR >= uniforms.convDims.x) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilations.y) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.y) { + continue; + } + + let value = getX(batch, xR, xC, d); + ${e} + } + } + + ${this.computePositions?"setOutputAtIndexI32(index, maxPosition);":`setOutputAtIndex(index, ${t});`} + } + } + `}},Dg=class{constructor(e,t,a=!1,n=!1,r=!1){if(this.variableNames=["x"],this.uniforms="strides : vec3, pads : vec3, convDims : vec3, filterDims : vec3,",this.workgroupSize=[128,1,1],this.size=!0,t==="avg"&&a)throw new Error("Cannot compute positions for average pool.");this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=a,this.flattenPositions=n,this.includeBatchIndex=r,this.shaderKey=`pool3D_${t}_${a}_${n}_${r}`}getUserCode(){let e;this.poolType==="avg"?e="resultValue += value; count += 1.0;":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions?this.includeBatchIndex?"(((batch * uniforms.xShape.y + xD) * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch":"((xD * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch":"wD * uniforms.filterDims.y * uniforms.filterDims.y + wR * uniforms.filterDims.z + wC"}; + }`:e="resultValue = max(value, resultValue);";let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let xCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xDCorner = xCorner.x; + let xRCorner = xCorner.y; + let xCCorner = xCorner.z; + + ${this.computePositions?`var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;`:`var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wD = 0; wD < uniforms.filterDims.x; wD++) { + let xD = xDCorner + wD; + if (xD < 0 || xD >= uniforms.convDims.x) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims.y; wR++) { + let xR = xRCorner + wR; + if (xR < 0 || xR >= uniforms.convDims.y) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.z; wC++) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.z) { + continue; + } + + let value = getX(batch, xD, xR, xC, ch); + ${e} + } + } + } + + ${this.computePositions?"setOutputAtIndexI32(index, maxPosition);":`setOutputAtIndex(index, ${t});`} + } + } + `}};function Qw(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=n;return Jo(r,s,i,"max",a)}var Ede={kernelName:Ji,backendName:"webgpu",kernelFunc:Qw};function ek(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{keepDims:s,axis:i}=n;return Jo(r,i,s,"mean",a)}var Mde={kernelName:to,backendName:"webgpu",kernelFunc:ek};function tk(e,t,a,n){if(t.filterWidth===1&&t.filterHeight===1&&v.arraysEqual(t.inShape,t.outShape))return tn({inputs:{x:e},backend:n});if(t.filterWidth===t.inWidth&&t.filterHeight===t.inHeight&&t.batchSize===1&&t.padInfo.type==="VALID"){let i=e.shape.length,o=we({inputs:{x:e},backend:n,attrs:{shape:[e.shape[i-3]*e.shape[i-2],e.shape[i-1]]}}),l;a==="avg"?l=ek({inputs:{x:o},backend:n,attrs:{axis:0,keepDims:!1}}):(v.assert(a==="max",()=>`Invalid pool type ${a}`),l=Qw({inputs:{x:o},backend:n,attrs:{reductionIndices:0,keepDims:!1}}));let u=we({inputs:{x:l},backend:n,attrs:{shape:t.outShape}});return n.disposeData(o.dataId),n.disposeData(l.dataId),u}let r,s=[{type:"int32",data:[t.strideHeight,t.strideWidth]}];return t.filterHeight===1&&t.filterWidth===1?r=new Rde(t):(a==="avg"?r=new Kd(t,"avg"):(v.assert(a==="max",()=>`Invalid pool type ${a}`),r=new Kd(t,"max")),s.push({type:"int32",data:[t.padInfo.top,t.padInfo.left]},{type:"int32",data:[t.dilationHeight,t.dilationWidth]},{type:"int32",data:[t.inHeight,t.inWidth]},{type:"int32",data:[t.effectiveFilterHeight,t.effectiveFilterWidth]})),n.runWebGPUProgram(r,[e],e.dtype,s)}function Fde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1,p=S.computePool2DInfo(r.shape,s,i,u,o,l);return tk(r,p,"avg",a)}var _de={kernelName:ui,backendName:"webgpu",kernelFunc:Fde};function $de(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=n,p=[1,1,1],c=S.computePool3DInfo(r.shape,s,i,p,o,u,l),d=new Dg(c,"avg"),h=[{type:"int32",data:[c.strideDepth,c.strideHeight,c.strideWidth]},{type:"int32",data:[c.padInfo.front,c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.inDepth,c.inHeight,c.inWidth]},{type:"int32",data:[c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth]}];return a.runWebGPUProgram(d,[r],r.dtype,h)}var Dde={kernelName:eu,backendName:"webgpu",kernelFunc:$de},Pde=class{constructor(e){this.variableNames=["dy"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avgPool2DBackprop"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -6101,16 +6200,16 @@ return a / b;`,jK=` // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; - for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilation[0]) { - let dyR = f32(dyRCorner + wR) / f32(uniforms.stride[0]); + for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { continue; } let idyR = i32(dyR); - for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilation[1]) { - let dyC = f32(dyCCorner + wC) / f32(uniforms.stride[1]); + for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { continue; @@ -6125,8 +6224,57 @@ return a / b;`,jK=` setOutputAtIndex(index, dotProd); } } - `}};function soe(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;N8([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=T.computePool2DInfo(i.shape,o,l,1,u),c=new roe(p),d=1/(p.filterHeight*p.filterWidth),h=[{type:"int32",data:[p.strideHeight,p.strideWidth]},{type:"int32",data:[p.effectiveFilterHeight-1-p.padInfo.top,p.effectiveFilterWidth-1-p.padInfo.left]},{type:"int32",data:[p.dilationHeight,p.dilationWidth]},{type:"int32",data:[p.effectiveFilterHeight,p.effectiveFilterWidth]},{type:"int32",data:[p.outHeight]},{type:"int32",data:[p.outWidth]},{type:"float32",data:[d]}];return a.runWebGPUProgram(c,[r],i.dtype,h)}var ioe={kernelName:Xc,backendName:"webgpu",kernelFunc:soe};function ooe(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;return Bh({a:r,b:s,transposeA:i,transposeB:o,backend:a})}var loe={kernelName:ei,backendName:"webgpu",kernelFunc:ooe},uoe=class{constructor(e,t){this.variableNames=["source"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${la(e.length)}, `,this.shaderKey="slice"}getUserCode(){let e=la(this.rank),t=doe(this.rank),a;return this.start.length===1?a=this.outputShape.map((n,r)=>"sourceLoc = uniforms.start + coords;"):a=this.outputShape.map((n,r)=>`sourceLoc.${$2[r]} = uniforms.start.${br(r)} + coords.${$2[r]};`),` - ${ke("index")} { + `}},Ode=class{constructor(e){this.variableNames=["dy"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avgPool3DBackprop"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + dotProd += dyValue * uniforms.avgMultiplier; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function zde(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=n,c=S.computePool3DInfo(i.shape,o,l,1,u,p),d=new Ode(c),h=1/(c.filterDepth*c.filterHeight*c.filterWidth),f=[{type:"int32",data:[c.strideDepth,c.strideHeight,c.strideWidth]},{type:"int32",data:[c.effectiveFilterDepth-1-c.padInfo.front,c.effectiveFilterHeight-1-c.padInfo.top,c.effectiveFilterWidth-1-c.padInfo.left]},{type:"int32",data:[c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth]},{type:"int32",data:[c.outDepth]},{type:"int32",data:[c.outHeight]},{type:"int32",data:[c.outWidth]},{type:"float32",data:[h]}];return a.runWebGPUProgram(d,[r],i.dtype,f)}var Lde={kernelName:ep,backendName:"webgpu",kernelFunc:zde};function Wde(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s;Fg([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=n,p=S.computePool2DInfo(i.shape,o,l,1,u),c=new Pde(p),d=1/(p.filterHeight*p.filterWidth),h=[{type:"int32",data:[p.strideHeight,p.strideWidth]},{type:"int32",data:[p.effectiveFilterHeight-1-p.padInfo.top,p.effectiveFilterWidth-1-p.padInfo.left]},{type:"int32",data:[p.dilationHeight,p.dilationWidth]},{type:"int32",data:[p.effectiveFilterHeight,p.effectiveFilterWidth]},{type:"int32",data:[p.outHeight]},{type:"int32",data:[p.outWidth]},{type:"float32",data:[d]}];return a.runWebGPUProgram(c,[r],i.dtype,h)}var Bde={kernelName:kh,backendName:"webgpu",kernelFunc:Wde};function Vde(e){let{inputs:t,backend:a,attrs:n}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=n;return o0({a:r,b:s,transposeA:i,transposeB:o,backend:a})}var Ude={kernelName:di,backendName:"webgpu",kernelFunc:Vde},Gde=class{constructor(e,t){this.variableNames=["source"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${Jt(e.length)}, `,this.shaderKey="slice"}getUserCode(){let e=Jt(this.rank),t=Hde(this.rank),a;return this.start.length===1?a=this.outputShape.map((n,r)=>"sourceLoc = uniforms.start + coords;"):a=this.outputShape.map((n,r)=>`sourceLoc.${$1[r]} = uniforms.start.${Ir(r)} + coords.${$1[r]};`),` + ${de("index")} { if (index < uniforms.size) { var sourceLoc : ${e}; let coords = getCoordsFromIndex(index); @@ -6135,17 +6283,17 @@ return a / b;`,jK=` setOutputAtIndex(index, getSource(${t})); } } - `}},$2=["x","y","z","w","u","v"];function doe(e){if(e===1)return"sourceLoc";if(e<=6)return $2.slice(0,e).map(t=>`sourceLoc.${t}`).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}function Au(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n,[o,l]=St.parseSliceParams(r,s,i);if(St.assertParamsValid(r,o,l),a.shouldExecuteOnCPU([r])||r.dtype==="string"){let c=a.tensorMap.get(r.dataId),d=cie(c.values,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,d)}if(v.sizeFromShape(l)===0)return a.makeTensorInfo(l,r.dtype,[]);let u=new uoe(o,l),p=[{type:"int32",data:o}];return a.runWebGPUProgram(u,[r],r.dtype,p)}var poe={kernelName:Xl,backendName:"webgpu",kernelFunc:Au},coe=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet");let o=s.reduce((x,A)=>x*A),l=T.getReshaped(r.shape,s,o),u=T.getPermuted(l.length,s.length),p=T.getReshapedPermuted(r.shape,s,o),c=T.getSliceBeginCoords(i,s.length),d=T.getSliceSize(p,i,s.length),h=[],f=Ie({inputs:{x:r},backend:a,attrs:{shape:l}}),m=kr({inputs:{x:f},backend:a,attrs:{perm:u}}),g=Ie({inputs:{x:m},backend:a,attrs:{shape:p}}),y=Au({inputs:{x:g},backend:a,attrs:{begin:c,size:d}});return h.push(f),h.push(m),h.push(g),h.forEach(x=>a.disposeData(x.dataId)),y},hoe={kernelName:El,backendName:"webgpu",kernelFunc:coe},foe=` + `}},$1=["x","y","z","w","u","v"];function Hde(e){if(e===1)return"sourceLoc";if(e<=6)return $1.slice(0,e).map(t=>`sourceLoc.${t}`).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}function ju(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,size:i}=n,[o,l]=Nt.parseSliceParams(r,s,i);if(Nt.assertParamsValid(r,o,l),a.shouldExecuteOnCPU([r])||r.dtype==="string"){let c=a.tensorMap.get(r.dataId),d=Vue(c.values,o,l,r.shape,r.dtype);return a.makeTensorInfo(l,r.dtype,d)}if(v.sizeFromShape(l)===0)return a.makeTensorInfo(l,r.dtype,[]);let u=new Gde(o,l),p=[{type:"int32",data:o}];return a.runWebGPUProgram(u,[r],r.dtype,p)}var jde={kernelName:Iu,backendName:"webgpu",kernelFunc:ju},qde=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,crops:i}=n;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet");let o=s.reduce((x,A)=>x*A),l=S.getReshaped(r.shape,s,o),u=S.getPermuted(l.length,s.length),p=S.getReshapedPermuted(r.shape,s,o),c=S.getSliceBeginCoords(i,s.length),d=S.getSliceSize(p,i,s.length),h=[],f=we({inputs:{x:r},backend:a,attrs:{shape:l}}),m=Bn({inputs:{x:f},backend:a,attrs:{perm:u}}),g=we({inputs:{x:m},backend:a,attrs:{shape:p}}),y=ju({inputs:{x:g},backend:a,attrs:{begin:c,size:d}});return h.push(f),h.push(m),h.push(g),h.forEach(x=>a.disposeData(x.dataId)),y},Xde={kernelName:tu,backendName:"webgpu",kernelFunc:qde},Kde=` fn bincount_write(index: i32, value: f32) { - ${O3("&result[index]","value","float32")} + ${Gu("&result[index]","value","float32")} } -`,moe=` +`,Yde=` fn bincount_write(index: i32, value: f32) { atomicStore(&result[index], bitcast(value)); } -`,P8=class{constructor(e,t,a=!1){this.outputShape=[],this.variableNames=["x"],this.uniforms="binCountSize : i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=a,a&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push("w"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return` - ${this.binaryOutput?moe:foe} - ${ke("index")} { +`,ak=class{constructor(e,t,a=!1){this.outputShape=[],this.variableNames=["x"],this.uniforms="binCountSize : i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=a,a&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push("w"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return` + ${this.binaryOutput?Yde:Kde} + ${de("index")} { ${this.rank===1?`if (index < uniforms.xShape) { let indexVal = i32(getX(index)); if (indexVal < uniforms.binCountSize) { @@ -6161,8 +6309,33 @@ return a / b;`,jK=` } }`} } - `}};function goe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=v.sizeFromShape(r.shape),l=v.sizeFromShape(s.shape)>0,u=[i],p=s.dtype,c=Nr({backend:a,attrs:{shape:u,value:0,dtype:p}}),d=new P8([o],l),h=[{type:"int32",data:[i]}],f=l?[r,s]:[r];return a.runWebGPUProgram(d,f,p,h,c)}var yoe={kernelName:Sd,backendName:"webgpu",kernelFunc:goe},F8=Jt({opType:Pe.NOT_EQUAL,dtype:"bool",cpuKernelImpl:iie}),xoe={kernelName:Bi,backendName:"webgpu",kernelFunc:F8};function yp(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.tensorMap.get(n.dataId);return en({inputs:{x:r.complexTensorInfos.real},backend:a})}var Aoe={kernelName:Dd,backendName:"webgpu",kernelFunc:yp};function boe(e,t){let a=new xu(e.shape,le.TO_INT),n=t.runWebGPUProgram(a,[e],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function _2(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return en({inputs:{x:r},backend:a});let i=gn(r.shape),o=_2({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),l=wo({inputs:{real:o,imag:i},backend:a});return i.dispose(),a.disposeData(o.dataId),l}if(r.dtype==="complex64"){let i=yp({inputs:{input:r},backend:a}),o=_2({inputs:{x:i},backend:a,attrs:{dtype:s}});return a.disposeData(i.dataId),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=en({inputs:{x:r},backend:a});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(a.shouldExecuteOnCPU([r])){let i=a.tensorMap.get(r.dataId).values,[o,l,u]=Wse(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}if(s==="int32")return boe(r,a);if(s==="bool"){let i=a.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=F8({inputs:{a:r,b:i},backend:a});return a.disposeData(i.dataId),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var voe={kernelName:ti,backendName:"webgpu",kernelFunc:_2},koe=et({opType:le.CEIL,cpuKernelImpl:Vse}),woe={kernelName:ai,backendName:"webgpu",kernelFunc:koe},Ioe=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workPerThread=4,this.workgroupSize=[64,1,1],this.isVec4=!0,this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="clipVec4"}getUserCode(){return` - ${ke("index")} { + `}};function Zde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i}=n,o=v.sizeFromShape(r.shape),l=v.sizeFromShape(s.shape)>0,u=[i],p=s.dtype,c=Mn({backend:a,attrs:{shape:u,value:0,dtype:p}}),d=new ak([o],l),h=[{type:"int32",data:[i]}],f=l?[r,s]:[r];return a.runWebGPUProgram(d,f,p,h,c)}var Jde={kernelName:pi,backendName:"webgpu",kernelFunc:Zde},Qde=class{constructor(e){this.outputShape=[],this.variableNames=["s0","s1"],this.uniforms="s0Size : i32, s1Size : i32, ",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="broadcastArgs"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + var s0 = 1.0; + var s1 = 1.0; + let indexS0 = index - uniforms.size + uniforms.s0Size; + let indexS1 = index - uniforms.size + uniforms.s1Size; + if (indexS0 >= 0) { + s0 = getS0(indexS0); + } + if (indexS1 >= 0) { + s1 = getS1(indexS1); + } + + if (s0 == 1.0) { + setOutputAtIndex(index, s1); + } else if (s1 == 1.0) { + setOutputAtIndex(index, s0); + } else if (s0 != s1) { + setOutputAtIndex(index, uniforms.NAN); + } else { + setOutputAtIndex(index, s0); + } + } + } + `}};function epe(e){let{inputs:t,backend:a}=e,{s0:n,s1:r}=t;if(a.shouldExecuteOnCPU([n,r])){let p=a.tensorMap.get(n.dataId),c=a.tensorMap.get(r.dataId),d=p.values,h=c.values,f=S.assertAndGetBroadcastShape(Array.from(d),Array.from(h));return a.makeTensorInfo([f.length],"int32",Int32Array.from(f))}let s=v.sizeFromShape(n.shape),i=v.sizeFromShape(r.shape),o=Math.max(s,i),l=new Qde(o),u=[{type:"int32",data:[s]},{type:"int32",data:[i]}];return a.runWebGPUProgram(l,[n,r],"int32",u)}var tpe={kernelName:au,backendName:"webgpu",kernelFunc:epe},nk=ta({opType:_e.NOT_EQUAL,dtype:"bool",cpuKernelImpl:Pue}),ape={kernelName:oo,backendName:"webgpu",kernelFunc:nk};function jp(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.tensorMap.get(n.dataId);return tn({inputs:{x:r.complexTensorInfos.real},backend:a})}var npe={kernelName:cp,backendName:"webgpu",kernelFunc:jp};function rpe(e,t){let a=new Hu(e.shape,le.TO_INT),n=t.runWebGPUProgram(a,[e],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function D1(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dtype:s}=n;if(s==="complex64"){if(r.dtype==="complex64")return tn({inputs:{x:r},backend:a});let i=gn(r.shape),o=D1({inputs:{x:r},backend:a,attrs:{dtype:"float32"}}),l=Zo({inputs:{real:o,imag:i},backend:a});return i.dispose(),a.disposeData(o.dataId),l}if(r.dtype==="complex64"){let i=jp({inputs:{input:r},backend:a}),o=D1({inputs:{x:i},backend:a,attrs:{dtype:s}});return a.disposeData(i.dataId),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=tn({inputs:{x:r},backend:a});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(a.shouldExecuteOnCPU([r])){let i=a.tensorMap.get(r.dataId).values,[o,l,u]=gue(i,r.shape,r.dtype,s);return a.makeTensorInfo(o,l,u)}if(s==="int32")return rpe(r,a);if(s==="bool"){let i=a.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=nk({inputs:{a:r,b:i},backend:a});return a.disposeData(i.dataId),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var spe={kernelName:ci,backendName:"webgpu",kernelFunc:D1},ipe=tt({opType:le.CEIL,cpuKernelImpl:yue}),ope={kernelName:hi,backendName:"webgpu",kernelFunc:ipe},lpe=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workPerThread=4,this.workgroupSize=[64,1,1],this.outputComponent=4,this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="clipVec4"}getUserCode(){return` + ${de("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); var clampedValue = clamp( @@ -6171,8 +6344,8 @@ return a / b;`,jK=` setOutputAtIndex(index, clampedValue); } } - `}},Soe=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="clip"}getUserCode(){return` - ${ke("index")} { + `}},upe=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="clip"}getUserCode(){return` + ${de("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); if (isnan(value)) { @@ -6182,8 +6355,20 @@ return a / b;`,jK=` setOutputAtIndex(index, clamp(value, uniforms.minVal, uniforms.maxVal)); } } - `}};function Toe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=n,o,l=[{type:"float32",data:[s]},{type:"float32",data:[i]}];return v.sizeFromShape(r.shape)%4===0?o=new Ioe(r.shape):o=new Soe(r.shape),a.runWebGPUProgram(o,[r],r.dtype,l)}var Coe={kernelName:as,backendName:"webgpu",kernelFunc:Toe},Noe=class{constructor(e){this.uniforms="",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=T.computeOutShape(e,1),this.variableNames=e.map((t,a)=>`T${a}`),this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push("if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }");for(let n=1;n(1, min(re, im)/mx)), 0.0, mx == 0.0)); + } + } + `}};function Lx(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function hpe(e){let{inputs:t,backend:a}=e,{x:n}=t,r=a.tensorMap.get(n.dataId),s=new cpe(n.shape),i=[Lx(n,r.complexTensorInfos.real),Lx(n,r.complexTensorInfos.imag)];return a.runWebGPUProgram(s,i,i[0].dtype)}var fpe={kernelName:ap,backendName:"webgpu",kernelFunc:hpe},mpe=class{constructor(e){this.uniforms="",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=S.computeOutShape(e,1),this.variableNames=e.map((t,a)=>`T${a}`),this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push("if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }");for(let n=1;nyp({inputs:{input:A},backend:a})),m=e.map(A=>Wh({inputs:{input:A},backend:a})),g=Yu(f,t,a),y=Yu(m,t,a),x=wo({inputs:{real:g,imag:y},backend:a});return f.forEach(A=>a.disposeData(A.dataId)),m.forEach(A=>a.disposeData(A.dataId)),a.disposeData(g.dataId),a.disposeData(y.dataId),x}let r=a.shouldExecuteOnCPU(e);if(n==="string"&&(r=!0),r){let f=e.map(k=>{let S=[-1,v.sizeFromShape(k.shape.slice(t))];return Ie({inputs:{x:k},backend:a,attrs:{shape:S}})}),m=f.map(k=>({vals:a.readSync(k.dataId),shape:k.shape})),g=T.computeOutShape(f.map(k=>k.shape),1),y=f[0].shape[0]===1,x=Use(m,g,n,y),A=T.computeOutShape(e.map(k=>k.shape),t),b=a.makeTensorInfo(A,n,x);return f.forEach(k=>a.disposeData(k.dataId)),b}let s=a.device.limits.maxStorageBuffersPerShaderStage-1;if(e.length>s){let f=[];for(let g=0;gf.shape),u=new Noe(l),p=[],c=new Array(l.length-1);if(c.length>0){c[0]=l[0][1],p.push({type:"int32",data:[c[0]]});for(let f=1;fa.disposeData(f.dataId));let h=Ie({inputs:{x:d},backend:a,attrs:{shape:o}});return a.disposeData(d.dataId),h}function Roe(e,t,a){let n=T.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>Ie({inputs:{x:r},backend:a,attrs:{shape:[v.sizeFromShape(r.shape.slice(0,t)),v.sizeFromShape(r.shape.slice(t))]}})),outShape:n}}function O8(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);T.assertParamsConsistent(i,s);let o=T.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?en({inputs:{x:l[0]},backend:a}):Yu(l,s,a)}var Moe={kernelName:Rl,backendName:"webgpu",kernelFunc:O8};function $oe(e,t,a,n,r=!1,s=null,i=!1,o=4,l=4,u=4){let p=N=>{switch(N){case 1:return"resData = x[xIndex];";case 3:return"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);";case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${N} is not supported.`)}},c=N=>{switch(N){case 1:return"return W[row * uniforms.wShape[3] + colIn];";case 4:return"return W[row * uniforms.wShape[3] / 4 + colIn];";default:throw new Error(`innerElementSize ${N} is not supported.`)}},d=e?` + `}};function l0(e){let{inputs:t,backend:a}=e,{input:n}=t,r=a.tensorMap.get(n.dataId);return tn({inputs:{x:r.complexTensorInfos.imag},backend:a})}var gpe={kernelName:up,backendName:"webgpu",kernelFunc:l0};function Id(e,t,a){let n=e[0].dtype;if(n==="complex64"){let f=e.map(A=>jp({inputs:{input:A},backend:a})),m=e.map(A=>l0({inputs:{input:A},backend:a})),g=Id(f,t,a),y=Id(m,t,a),x=Zo({inputs:{real:g,imag:y},backend:a});return f.forEach(A=>a.disposeData(A.dataId)),m.forEach(A=>a.disposeData(A.dataId)),a.disposeData(g.dataId),a.disposeData(y.dataId),x}let r=a.shouldExecuteOnCPU(e);if(n==="string"&&(r=!0),r){let f=e.map(w=>{let C=[-1,v.sizeFromShape(w.shape.slice(t))];return we({inputs:{x:w},backend:a,attrs:{shape:C}})}),m=f.map(w=>({vals:a.readSync(w.dataId),shape:w.shape})),g=S.computeOutShape(f.map(w=>w.shape),1),y=f[0].shape[0]===1,x=xue(m,g,n,y),A=S.computeOutShape(e.map(w=>w.shape),t),b=a.makeTensorInfo(A,n,x);return f.forEach(w=>a.disposeData(w.dataId)),b}let s=a.device.limits.maxStorageBuffersPerShaderStage-1;if(e.length>s){let f=[];for(let g=0;gf.shape),u=new mpe(l),p=[],c=new Array(l.length-1);if(c.length>0){c[0]=l[0][1],p.push({type:"int32",data:[c[0]]});for(let f=1;fa.disposeData(f.dataId));let h=we({inputs:{x:d},backend:a,attrs:{shape:o}});return a.disposeData(d.dataId),h}function ype(e,t,a){let n=S.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>we({inputs:{x:r},backend:a,attrs:{shape:[v.sizeFromShape(r.shape.slice(0,t)),v.sizeFromShape(r.shape.slice(t))]}})),outShape:n}}function rk(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);S.assertParamsConsistent(i,s);let o=S.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return a.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?tn({inputs:{x:l[0]},backend:a}):Id(l,s,a)}var xpe={kernelName:nu,backendName:"webgpu",kernelFunc:rk};function Ape(e,t,a,n,r=!1,s=null,i=!1,o=4,l=4,u=4){let p=N=>{switch(N){case 1:return"resData = x[xIndex];";case 3:return"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);";case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${N} is not supported.`)}},c=N=>{switch(N){case 1:return"return W[row * uniforms.wShape[3] + colIn];";case 4:return"return W[row * uniforms.wShape[3] / 4 + colIn];";default:throw new Error(`innerElementSize ${N} is not supported.`)}},d=e?` let coord = vec4(batch, xRow, xCol, xCh); `:` let coord = vec4(batch, xCh, xRow, xCol); @@ -6220,10 +6405,10 @@ return a / b;`,jK=` let WRow = ${y} / (uniforms.filterDims[1] * inChannels); let WCol = ${y} / inChannels % uniforms.filterDims[1]; - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * WRow - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * WCol - uniforms.pads[1]; let xCh = ${y} % inChannels; - var resData = ${$t(o)}(0.0); + var resData = ${Xe(o)}(0.0); // The bounds checking is always needed since we use it to pad zero for // the 'same' padding type. if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${m}) { @@ -6238,38 +6423,38 @@ return a / b;`,jK=` if (row < uniforms.dimAOuter && col < uniforms.dimInner) { ${x} } - return ${$t(o)}(0.0);`:n&&a?` + return ${Xe(o)}(0.0);`:n&&a?` let col = colIn * ${o}; ${x}`:` let col = colIn * ${o}; if (row < uniforms.dimInner && col < uniforms.dimBOuter) { ${x} } - return ${$t(o)}(0.0);`,b=`${c(l)}`,k=$t(u),S=$t(e?o:l),C=$t(e?l:o);return` - ${Cr(s,i,u===4,4)} - fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${S} { + return ${Xe(o)}(0.0);`,b=`${c(l)}`,w=Xe(u),C=Xe(e?o:l),T=Xe(e?l:o);return` + ${Mr(s,i,u===4,4)} + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${C} { ${e?A:b} } - fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${C} { + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${T} { ${e?b:A} } - fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${k}) { + fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${w}) { let col = colIn * ${u}; if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) { var value = valueIn; let outWidth = ${e?"uniforms.outShape[2]":"uniforms.outShape[3]"}; ${h} - ${ko(r,s)} + ${Yo(r,s)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } - }`}var _oe=class{constructor(e,t,a,n,r=!1,s=null,i=!1,o=!1){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pad : vec2, stride : vec2, dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=D3(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=z3(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableTypes=["f32","vec4"]):(this.innerElementSize=4,this.variableTypes=["vec4","vec4"]),r&&(this.variableNames.push("bias"),this.variableTypes.push("vec4")),i&&(this.variableNames.push("preluActivationWeights"),this.variableTypes.push("vec4"))):(this.innerElementSize=this.elementsPerThread[0],r&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights")),this.sequentialAccessByThreads=o,this.addBias=r,this.activation=s,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=a%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?zh(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):Lh(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return` - ${$oe(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])} + }`}var bpe=class{constructor(e,t,a,n,r=!1,s=null,i=!1,o=!1){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, dilations : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=Rg(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Eg(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.outputComponent=4,this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableComponents=[1,4]):(this.innerElementSize=4,this.variableComponents=[4,4]),r&&(this.variableNames.push("bias"),this.variableComponents.push(4)),i&&(this.variableNames.push("preluActivationWeights"),this.variableComponents.push(4))):(this.innerElementSize=this.elementsPerThread[0],r&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights")),this.sequentialAccessByThreads=o,this.addBias=r,this.activation=s,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=a%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?s0(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):i0(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return` + ${Ape(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])} ${e} - `}},Poe=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms="filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2,",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=a,this.hasPreluActivationWeights=n,t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return` - ${Cr(this.activation,this.hasPreluActivationWeights,!1,4)} + `}},vpe=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2,",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=a,this.hasPreluActivationWeights=n,t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return` + ${Mr(this.activation,this.hasPreluActivationWeights,!1,4)} fn readInp(batch : i32, row : i32, col : i32, chan : i32) -> f32{ let coords = vec4(batch, row, col, chan); if (coordsInBounds4D(coords, uniforms.xShape)) { @@ -6290,11 +6475,11 @@ return a / b;`,jK=` let coords = ${this.isChannelsLast?"vec4(batch, row, col, chan);":"vec4(batch, chan, row, col);"} if (coordsInBounds4D(coords, uniforms.outShape)) { var value = valueIn; - ${ko(this.addBias,this.activation)} + ${Yo(this.addBias,this.activation)} setOutputAtCoords(coords.x, coords.y, coords.z, coords.w, value); } } - ${ke("index")} { + ${de("index")} { let coords = getOutputCoords(); let batch = coords[0]; let outChannel = ${this.isChannelsLast?"coords[3];":"coords[1];"} @@ -6303,8 +6488,8 @@ return a / b;`,jK=` var acc : f32 = 0.0; for (var row = 0; row < uniforms.filterDims[0]; row = row + 1) { for (var col = 0; col < uniforms.filterDims[1]; col = col + 1) { - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * row - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * col - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * row - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * col - uniforms.pads[1]; for (var xChannel = 0; xChannel < ${this.isChannelsLast?"uniforms.xShape[3];":"uniforms.xShape[1];"} xChannel = xChannel + 1) { ${this.isChannelsLast?"let v = readInp(batch, xRow, xCol, xChannel);":"let v = readInp(batch, xChannel, xRow, xCol);"} let f = readFilt(row, col, xChannel, outChannel); @@ -6314,21 +6499,21 @@ return a / b;`,jK=` } writeResult(batch, outRow, outCol, outChannel, acc); } - `}},Foe=class{constructor(e,t){this.variableNames=["x"],this.uniforms=`pad : vec2, stride : vec2, dilation : vec2, outWidth : i32, itemsPerBlockRow : i32, - inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,a=this.isChannelsLast?"coords[1]":"coords[2]",n=this.isChannelsLast?"coords[2]":"coords[1]",r=this.isChannelsLast?"getX(batch, xRow, xCol, ch)":"getX(batch, ch, xRow, xCol)";return` - ${ke("index")} { + `}},wpe=class{constructor(e,t){this.variableNames=["x"],this.uniforms=`pads : vec2, strides : vec2, dilations : vec2, outWidth : i32, itemsPerBlockRow : i32, + inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,a=this.isChannelsLast?"coords[1]":"coords[2]",n=this.isChannelsLast?"coords[2]":"coords[1]",r=this.isChannelsLast?"getX(batch, xRow, xCol, ch)":"getX(batch, ch, xRow, xCol)";return` + ${de("index")} { let coords = getCoordsFromIndex(index); if(index < uniforms.size) { let batch = coords[0]; let row = ${a}; let col = ${n}; - let offsetY = (row / uniforms.outWidth) * uniforms.stride[0] - uniforms.pad[0]; - let xRow = offsetY + uniforms.dilation[0] * (col / uniforms.itemsPerBlockRow); + let offsetY = (row / uniforms.outWidth) * uniforms.strides[0] - uniforms.pads[0]; + let xRow = offsetY + uniforms.dilations[0] * (col / uniforms.itemsPerBlockRow); var value = 0.0; if(xRow < uniforms.xShape[${e}] && xRow >= 0) { - let offsetX = (row % uniforms.outWidth) * uniforms.stride[1] - - uniforms.pad[1]; - let xCol = offsetX + uniforms.dilation[1] * ((col % + let offsetX = (row % uniforms.outWidth) * uniforms.strides[1] - + uniforms.pads[1]; + let xCol = offsetX + uniforms.dilations[1] * ((col % uniforms.itemsPerBlockRow) / uniforms.inChannels); let ch = col % uniforms.inChannels; if(xCol < uniforms.xShape[${t}] && xCol >= 0) { @@ -6338,8 +6523,109 @@ return a / b;`,jK=` setOutputAtIndex(index, value); } } - `}};function Uc(e,t){let a=e.length;return a>=3?t?[...e.slice(0,-3),e[a-3]*e[a-2],e[a-1]]:[...e.slice(0,-3),e[a-3],e[a-2]*e[a-1]]:!t&&a===1&&e[0]>1?[e[0],1]:null}function Ooe({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=a.dataFormat==="channelsLast",u=!l,p=!1,c=l&&a.filterHeight===a.inHeight&&a.filterWidth===a.inWidth&&a.padInfo.type==="VALID",d=[],h,f;if(c){let y=a.inHeight*a.inWidth*a.inChannels;h=Ie({inputs:{x:e},backend:n,attrs:{shape:[1,a.batchSize,y]}}),f=Ie({inputs:{x:t},backend:n,attrs:{shape:[1,y,a.outChannels]}})}else h=Ie({inputs:{x:e},backend:n,attrs:{shape:l?[a.batchSize,a.inHeight*a.inWidth,a.inChannels]:[a.batchSize,a.inChannels,a.inHeight*a.inWidth]}}),f=Ie({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}});if(d.push(h),d.push(f),s!=null){let y=Uc(s.shape,l);y!=null&&(s=Ie({inputs:{x:s},backend:n,attrs:{shape:y}}),d.push(s))}if(r!=null){let y=Uc(r.shape,l);y!=null&&(r=Ie({inputs:{x:r},backend:n,attrs:{shape:y}}),d.push(r))}let m=Bh({a:l?h:f,b:l?f:h,transposeA:u,transposeB:p,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),g=Ie({inputs:{x:m},backend:n,attrs:{shape:a.outShape}});d.push(m);for(let y of d)n.disposeData(y.dataId);return g}function Doe({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,strideWidth:c,strideHeight:d,padInfo:h,outWidth:f,outHeight:m,dilationWidth:g,dilationHeight:y,dataFormat:x}=a,A=x==="channelsLast",b=l*u*p,k=m*f,S=A?[a.batchSize,k,b]:[a.batchSize,b,k],C=new Foe(S,A),N=[{type:"int32",data:[h.top,h.left]},{type:"int32",data:[d,c]},{type:"int32",data:[y,g]},{type:"int32",data:[f]},{type:"int32",data:[p*l]},{type:"int32",data:[p]}],$=n.runWebGPUProgram(C,[e],e.dtype,N),M=[];M.push($);let R=Ie({inputs:{x:t},backend:n,attrs:{shape:[1,b,-1]}});if(M.push(R),s!=null){let D=Uc(s.shape,A);D!=null&&(s=Ie({inputs:{x:s},backend:n,attrs:{shape:D}}),M.push(s))}if(r!=null){let D=Uc(r.shape,A);D!=null&&(r=Ie({inputs:{x:r},backend:n,attrs:{shape:D}}),M.push(r))}let I=Bh({a:A?$:R,b:A?R:$,transposeA:!A,transposeB:!1,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),_=Ie({inputs:{x:I},backend:n,attrs:{shape:a.outShape}});M.push(I);for(let D of M)n.disposeData(D.dataId);return _}function D8({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=r!=null,u=s!=null,p=a.dataFormat==="channelsLast",c=p&&a.filterHeight===a.inHeight&&a.filterWidth===a.inWidth&&a.padInfo.type==="VALID",d=V().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG");if(!d&&(c||a.filterHeight===1&&a.filterWidth===1&&a.dilationHeight===1&&a.dilationWidth===1&&a.strideHeight===1&&a.strideWidth===1&&(a.padInfo.type==="SAME"||a.padInfo.type==="VALID")))return Ooe({x:e,filter:t,convInfo:a,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});let h=V().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),f=h>0?h:n.thresholdToIncreaseWorkgroups,m=a.batchSize*Math.ceil(a.outHeight*a.outWidth/32)*Math.ceil(a.outChannels/32);if(V().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER")||m<=f)return Doe({x:e,filter:t,convInfo:a,backend:n,bias:r,preluActivationWeights:s,leakyreluAlpha:i,activation:o});let g,y=[a.padInfo.top,a.padInfo.left],x=[{type:"int32",data:[a.filterHeight,a.filterWidth]},{type:"int32",data:[...y]},{type:"int32",data:[a.strideHeight,a.strideWidth]},{type:"int32",data:[a.dilationHeight,a.dilationWidth]}];if(d)g=new Poe(a,l,o,u);else{let S=p?a.outHeight*a.outWidth:a.outChannels,C=p?a.outChannels:a.outHeight*a.outWidth,N=a.filterHeight*a.filterWidth*a.inChannels;x.push({type:"int32",data:[S]},{type:"int32",data:[C]},{type:"int32",data:[N]});let $=n.adapterInfo.isIntel();g=new _oe(a,S,C,N,l,o,u,$)}let A=[],b=[e,t];l&&(!p&&r.shape.length===1&&(r=Ie({inputs:{x:r},backend:n,attrs:{shape:[r.shape[0],1,1]}}),A.push(r)),b.push(r)),u&&(!p&&s.shape.length===1&&(s=Ie({inputs:{x:s},backend:n,attrs:{shape:[s.shape[0],1,1]}}),A.push(s)),b.push(s)),o==="leakyrelu"&&(x.push({type:"float32",data:[i]}),g.uniforms+=" alpha : f32,");let k=n.runWebGPUProgram(g,b,e.dtype,x);for(let S of A)n.disposeData(S.dataId);return k}function zoe(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,c=T.convertConv2DDataFormat(l),d=T.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c);return D8({x:r,filter:s,convInfo:d,backend:n})}var Loe={kernelName:ni,backendName:"webgpu",kernelFunc:zoe},Boe=class{constructor(e){this.variableNames=["dy","W"],this.uniforms="filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerInput_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,a=this.isChannelsLast?3:1;return` - ${ke("index")} { + `}};function Ah(e,t){let a=e.length;return a>=3?t?[...e.slice(0,-3),e[a-3]*e[a-2],e[a-1]]:[...e.slice(0,-3),e[a-3],e[a-2]*e[a-1]]:!t&&a===1&&e[0]>1?[e[0],1]:null}function kpe({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=a.dataFormat==="channelsLast",u=!l,p=!1,c=l&&a.filterHeight===a.inHeight&&a.filterWidth===a.inWidth&&a.padInfo.type==="VALID",d=[],h,f;if(c){let y=a.inHeight*a.inWidth*a.inChannels;h=we({inputs:{x:e},backend:n,attrs:{shape:[1,a.batchSize,y]}}),f=we({inputs:{x:t},backend:n,attrs:{shape:[1,y,a.outChannels]}})}else h=we({inputs:{x:e},backend:n,attrs:{shape:l?[a.batchSize,a.inHeight*a.inWidth,a.inChannels]:[a.batchSize,a.inChannels,a.inHeight*a.inWidth]}}),f=we({inputs:{x:t},backend:n,attrs:{shape:[1,a.inChannels,a.outChannels]}});if(d.push(h),d.push(f),s!=null){let y=Ah(s.shape,l);y!=null&&(s=we({inputs:{x:s},backend:n,attrs:{shape:y}}),d.push(s))}if(r!=null){let y=Ah(r.shape,l);y!=null&&(r=we({inputs:{x:r},backend:n,attrs:{shape:y}}),d.push(r))}let m=o0({a:l?h:f,b:l?f:h,transposeA:u,transposeB:p,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),g=we({inputs:{x:m},backend:n,attrs:{shape:a.outShape}});d.push(m);for(let y of d)n.disposeData(y.dataId);return g}function Ipe({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,strideWidth:c,strideHeight:d,padInfo:h,outWidth:f,outHeight:m,dilationWidth:g,dilationHeight:y,dataFormat:x}=a,A=x==="channelsLast",b=l*u*p,w=m*f,C=A?[a.batchSize,w,b]:[a.batchSize,b,w],T=new wpe(C,A),N=[{type:"int32",data:[h.top,h.left]},{type:"int32",data:[d,c]},{type:"int32",data:[y,g]},{type:"int32",data:[f]},{type:"int32",data:[p*l]},{type:"int32",data:[p]}],M=n.runWebGPUProgram(T,[e],e.dtype,N),F=[];F.push(M);let E=we({inputs:{x:t},backend:n,attrs:{shape:[1,b,-1]}});if(F.push(E),s!=null){let O=Ah(s.shape,A);O!=null&&(s=we({inputs:{x:s},backend:n,attrs:{shape:O}}),F.push(s))}if(r!=null){let O=Ah(r.shape,A);O!=null&&(r=we({inputs:{x:r},backend:n,attrs:{shape:O}}),F.push(r))}let I=o0({a:A?M:E,b:A?E:M,transposeA:!A,transposeB:!1,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),_=we({inputs:{x:I},backend:n,attrs:{shape:a.outShape}});F.push(I);for(let O of F)n.disposeData(O.dataId);return _}function sk({x:e,filter:t,convInfo:a,backend:n,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=r!=null,u=s!=null,p=a.dataFormat==="channelsLast",c=p&&a.filterHeight===a.inHeight&&a.filterWidth===a.inWidth&&a.padInfo.type==="VALID",d=W().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG");if(!d&&(c||a.filterHeight===1&&a.filterWidth===1&&a.dilationHeight===1&&a.dilationWidth===1&&a.strideHeight===1&&a.strideWidth===1&&(a.padInfo.type==="SAME"||a.padInfo.type==="VALID")))return kpe({x:e,filter:t,convInfo:a,backend:n,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});let h=W().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),f=h>0?h:n.thresholdToIncreaseWorkgroups,m=a.batchSize*Math.ceil(a.outHeight*a.outWidth/32)*Math.ceil(a.outChannels/32);if(W().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER")||m<=f)return Ipe({x:e,filter:t,convInfo:a,backend:n,bias:r,preluActivationWeights:s,leakyreluAlpha:i,activation:o});let g,y=[a.padInfo.top,a.padInfo.left],x=[{type:"int32",data:[a.filterHeight,a.filterWidth]},{type:"int32",data:[...y]},{type:"int32",data:[a.strideHeight,a.strideWidth]},{type:"int32",data:[a.dilationHeight,a.dilationWidth]}];if(d)g=new vpe(a,l,o,u);else{let C=p?a.outHeight*a.outWidth:a.outChannels,T=p?a.outChannels:a.outHeight*a.outWidth,N=a.filterHeight*a.filterWidth*a.inChannels;x.push({type:"int32",data:[C]},{type:"int32",data:[T]},{type:"int32",data:[N]});let M=n.adapterInfo.isIntel();g=new bpe(a,C,T,N,l,o,u,M)}let A=[],b=[e,t];l&&(!p&&r.shape.length===1&&(r=we({inputs:{x:r},backend:n,attrs:{shape:[r.shape[0],1,1]}}),A.push(r)),b.push(r)),u&&(!p&&s.shape.length===1&&(s=we({inputs:{x:s},backend:n,attrs:{shape:[s.shape[0],1,1]}}),A.push(s)),b.push(s)),o==="leakyrelu"&&(x.push({type:"float32",data:[i]}),g.uniforms+=" alpha : f32,");let w=n.runWebGPUProgram(g,b,e.dtype,x);for(let C of A)n.disposeData(C.dataId);return w}function Spe(e){let{inputs:t,attrs:a,backend:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,c=S.convertConv2DDataFormat(l),d=S.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,c);return sk({x:r,filter:s,convInfo:d,backend:n})}var Cpe={kernelName:fi,backendName:"webgpu",kernelFunc:Spe},Tpe=class{constructor(e){this.variableNames=["dy","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4,",this.workgroupSize=[64,1,1],this.size=!1,this.isVec4=!1,this.workPerThread=1,this.outputShape=e.inShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=this.isChannelsLast&&e.outChannels%4===0&&e.inChannels%4===0,this.isVec4?(this.workPerThread=2,this.outputComponent=4,this.workgroupSize=[4,4,4],this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1])):(this.size=!0,this.workPerThread=1,this.workgroupSize=[64,1,1],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize)),this.shaderKey=`conv2DDerInput_${this.isChannelsLast}_${this.isVec4}_${this.workPerThread}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,a=this.isChannelsLast?3:1,n=` + ${de()} { + let batch = i32(globalId.z) / uniforms.outShape[1]; + let r = i32(globalId.z) % uniforms.outShape[1]; + let c = i32(globalId.y) * ${this.workPerThread}; + let d1 = i32(globalId.x) * 4; + + let dyCorner = vec2(r, c) - uniforms.pads; + + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd: array, ${this.workPerThread}>; + for (var i = 0; i < ${this.workPerThread}; i++) { + dotProd[i] = vec4(0.0); + } + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { + let dyR = f32(dyCorner.x + wR) / f32(uniforms.strides.x); + let wRPerm = uniforms.filterDims.x - 1 - wR; + if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || + fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { + let dyC = f32(dyCorner.y + wC) / f32(uniforms.strides.y); + let dyC2 = f32(dyCorner.y + 1 + wC) / f32(uniforms.strides.y); + let wCPerm = uniforms.filterDims.y - 1 - wC; + var bDyCVal = true; + var bDyCVal2 = true; + if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || + fract(dyC) > 0.0) { + bDyCVal = false; + } + if (dyC2 < 0.0 || dyC2 >= f32(uniforms.outBackprop[2]) || + fract(dyC2) > 0.0) { + bDyCVal2 = false; + } + + let idyC = i32(dyC); + let idyC2 = i32(dyC2); + if (bDyCVal && bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + xValue = getDy(batch, idyR, idyC2, d2); + dotProd[1] = dotProd[1] + vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + } + } else if (bDyCVal) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + } + } else if (bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC2, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[1] = dotProd[1] + tmpval; + } + } + } + } + + for (var i = 0; i < ${this.workPerThread}; i = i + 1) { + let coords = vec4(batch, r, c + i, d1); + if (coordsInBounds4D(coords, uniforms.outShape)) { + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], dotProd[i]); + } + } + } + `;return this.isVec4?` + ${n} + `:` + ${de("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -6353,7 +6639,7 @@ return a / b;`,jK=` // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { - let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.stride.x); + let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.strides.x); let wRPerm = uniforms.filterDims.x - 1 - wR; if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || fract(dyR) > 0.0 || wRPerm < 0) { @@ -6362,7 +6648,7 @@ return a / b;`,jK=` let idyR = i32(dyR); for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { - let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.stride.y); + let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.strides.y); let wCPerm = uniforms.filterDims.y - 1 - wC; if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || fract(dyC) > 0.0 || wCPerm < 0) { @@ -6371,24 +6657,17 @@ return a / b;`,jK=` let idyC = i32(dyC); for (var d2 = 0; d2 < uniforms.outBackprop[3]; d2 = d2 + 1) { - if (${this.isChannelsLast}) { - let xValue = getDy(batch, idyR, idyC, d2); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } else { - let xValue = getDy(batch, d2, idyR, idyC); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } - + let xValue = ${this.isChannelsLast?"getDy(batch, idyR, idyC, d2)":"getDy(batch, d2, idyR, idyC)"}; + let wValue = getW(wRPerm, wCPerm, d1, d2); + dotProd = dotProd + xValue * wValue; } } } setOutputAtIndex(index, dotProd); } } - `}},Woe=class{constructor(e){this.variableNames=["x","dy"],this.uniforms="pad : vec2, stride : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return` - ${ke("index")} { + `}},Npe=class{constructor(e){this.variableNames=["x","dy"],this.uniforms="pads : vec2, strides : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return` + ${de("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let wR = coords[0]; @@ -6401,13 +6680,13 @@ return a / b;`,jK=` var dotProd = 0.0; for (var b = 0; b < uniforms.batchSize; b = b + 1) { for (var yR = 0; yR < uniforms.outHeight; yR = yR + 1) { - let xR = wR + yR * uniforms.stride[0] - uniforms.pad[0]; + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; if (xR < 0 || xR >= uniforms.inHeight) { continue; } for (var yC = 0; yC < uniforms.outWidth; yC = yC + 1) { - let xC = wC + yC * uniforms.stride[1] - uniforms.pad[1]; + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; if (xC < 0 || xC >= uniforms.inWidth) { continue; @@ -6428,7 +6707,102 @@ return a / b;`,jK=` setOutputAtIndex(index, dotProd); } } - `}};function Voe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=n,c=T.convertConv2DDataFormat(l),d=T.computeConv2DInfo(r.shape,p,i,1,o,u,!1,c),h=new Woe(d),f=[{type:"int32",data:[d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.batchSize]},{type:"int32",data:[d.outHeight]},{type:"int32",data:[d.outWidth]},{type:"int32",data:[d.inHeight]},{type:"int32",data:[d.inWidth]}];return a.runWebGPUProgram(h,[r,s],r.dtype,f)}var Uoe={kernelName:Cd,backendName:"webgpu",kernelFunc:Voe};function Goe(e=4){let t=n=>{switch(n){case 1:return"return W[getIndexFromCoords4D(coord, uniforms.wShape)];";case 4:return` + `}},Rpe=class{constructor(e){this.variableNames=["x","dy"],this.uniforms=`pads : vec3, strides : vec3, batchSize : i32, outDepth : i32, + outHeight : i32, outWidth : i32, inDepth : i32, inHeight : i32, inWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3DDerFilter"}getUserCode(){return` + ${de("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wF = coords.x; + let wR = coords.y; + let wC = coords.z; + let d1 = coords.w; + let d2 = coords.u; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yF = 0; yF < uniforms.outDepth; yF++) { + let xF = wF + yF * uniforms.strides[0] - uniforms.pads[0]; + if (xF < 0 || xF >= uniforms.inDepth) { + continue; + } + + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[1] - uniforms.pads[1]; + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[2] - uniforms.pads[2]; + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yF, yR, yC, d2); + let xValue = getX(b, xF, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},Epe=class{constructor(e){this.variableNames=["dy","W"],this.uniforms=`filterDims : vec3, pads : vec3, strides : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, outChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3DDerInput"}getUserCode(){return` + ${de("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let d1 = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyFCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let dyF = f32(dyFCorner + wF) / f32(uniforms.strides[0]); + if (dyF < 0.0 || dyF >= f32(uniforms.outDepth) || fract(dyF) > 0.0) { + continue; + } + let idyF = i32(dyF); + + let wFPerm = uniforms.filterDims[0] - 1 - wF; + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + let wRPerm = uniforms.filterDims[1] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let wCPerm = uniforms.filterDims[2] - 1 - wC; + + for (var d2 = 0; d2 < uniforms.outChannels; d2++) { + let xValue = getDy(batch, idyF, idyR, idyC, d2); + let wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function Mpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=n,c=S.convertConv2DDataFormat(l),d=S.computeConv2DInfo(r.shape,p,i,1,o,u,!1,c),h=new Npe(d),f=[{type:"int32",data:[d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.batchSize]},{type:"int32",data:[d.outHeight]},{type:"int32",data:[d.outWidth]},{type:"int32",data:[d.inHeight]},{type:"int32",data:[d.inWidth]}];return a.runWebGPUProgram(h,[r,s],r.dtype,f)}var Fpe={kernelName:np,backendName:"webgpu",kernelFunc:Mpe};function _pe(e=4){let t=n=>{switch(n){case 1:return"return W[getIndexFromCoords4D(coord, uniforms.wShape)];";case 4:return` let coord1 = vec4(coordX, coordY, col + 1, rowInner); let coord2 = vec4(coordX, coordY, col + 2, rowInner); let coord3 = vec4(coordX, coordY, col + 3, rowInner); @@ -6444,13 +6818,13 @@ return a / b;`,jK=` let WRow = col / (uniforms.filterDims[1] * uniforms.outBackprop[3]); let WCol = col / uniforms.outBackprop[3] % uniforms.filterDims[1]; - let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.stride[0]); - let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.stride[1]); + let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.strides[0]); + let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.strides[1]); if (xR < 0.0 || xR >= f32(uniforms.outBackprop[1]) || fract(xR) > 0.0) { - return ${$t(e)}(0.0); + return ${Xe(e)}(0.0); } if (xC < 0.0 || xC >= f32(uniforms.outBackprop[2]) || fract(xC) > 0.0) { - return ${$t(e)}(0.0); + return ${Xe(e)}(0.0); } let coord = vec4( batch, @@ -6459,13 +6833,13 @@ return a / b;`,jK=` col % uniforms.outBackprop[3]); return x[getIndexFromCoords4D(coord, uniforms.xShape)/${e}];`} } - return ${$t(e)}(0.0);`;return` - fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${$t(e)} { + return ${Xe(e)}(0.0);`;return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${Xe(e)} { let col = colIn * ${e}; ${a} } - fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${$t(e)} { + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${Xe(e)} { let col = colIn * ${e}; let coordX = uniforms.filterDims.x - 1 - row / (uniforms.filterDims[1] * uniforms.outBackprop[3]); @@ -6477,10 +6851,10 @@ return a / b;`,jK=` let coord = vec4(coordX, coordY, col, rowInner); ${t(e)} } - return ${$t(e)}(0.0); + return ${Xe(e)}(0.0); } - fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${$t(e)}) { + fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${Xe(e)}) { let col = colIn * ${e}; if (row < uniforms.dimAOuter && (col + ${e-1}) < uniforms.dimBOuter) { var value = valueInput; @@ -6491,11 +6865,93 @@ return a / b;`,jK=` col); result[getIndexFromCoords4D(outCoord, uniforms.outShape)/${e}] = value; } - }`}var Hoe=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.inShape,v.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=D3(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=z3(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.variableTypes=["vec4","f32"]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?zh(this.elementsPerThread,this.workgroupSize):Lh(this.elementsPerThread,this.workgroupSize);return` - ${Goe(this.isVec4?4:1)} + }`}var $pe=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.inShape,v.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=Rg(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Eg(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.outputComponent=4,this.variableComponents=[4,1]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?s0(this.elementsPerThread,this.workgroupSize):i0(this.elementsPerThread,this.workgroupSize);return` + ${_pe(this.isVec4?4:1)} ${e} - `}};function joe(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=n,c=T.convertConv2DDataFormat(u),d=T.computeConv2DInfo(i,s.shape,o,1,l,p,!1,c),h=[{type:"int32",data:[d.filterHeight,d.filterWidth]},{type:"int32",data:[d.filterHeight-1-d.padInfo.top,d.filterWidth-1-d.padInfo.left]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.batchSize,d.outHeight,d.outWidth,d.outChannels]}],f;if(V().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE")||d.filterHeight<=2&&d.filterWidth<=2&&d.outChannels<=16&&d.inChannels===1)f=new Boe(d);else{f=new Hoe(d);let m=d.inHeight*d.inWidth,g=d.inChannels,y=d.filterHeight*d.filterWidth*d.outChannels;h.push({type:"uint32",data:[m]},{type:"uint32",data:[g]},{type:"uint32",data:[y]})}return a.runWebGPUProgram(f,[r,s],"float32",h)}var qoe={kernelName:ri,backendName:"webgpu",kernelFunc:joe},Xoe=et({opType:le.COS}),Koe={kernelName:si,backendName:"webgpu",kernelFunc:Xoe},Zoe=et({opType:le.COSH}),Yoe={kernelName:ii,backendName:"webgpu",kernelFunc:Zoe},Joe=class{constructor(e,t,a,n){this.variableNames=["Image","Boxes","BoxInd"],this.uniforms="extrapolationValue : f32,",this.workgroupSize=[64,1,1],this.size=!0;let[r]=t;this.outputShape=[r,a[0],a[1],e],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n==="bilinear"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=["f32(uniforms.imageShape[1] - 1)","f32(uniforms.imageShape[2] - 1)"],[a,n,r]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,"(y2-y1) * height_ratio",`y1*${e} + f32(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${e}`],[s,i,o]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,"(x2-x1) * width_ratio",`x1*${t} + f32(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${t}`];return` - ${ke("index")} { + `}};function Dpe(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=n,c=S.convertConv2DDataFormat(u),d=S.computeConv2DInfo(i,s.shape,o,1,l,p,!1,c),h=[{type:"int32",data:[d.filterHeight,d.filterWidth]},{type:"int32",data:[d.filterHeight-1-d.padInfo.top,d.filterWidth-1-d.padInfo.left]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.batchSize,d.outHeight,d.outWidth,d.outChannels]}],f;if(W().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE")||d.dataFormat!=="channelsLast")f=new Tpe(d);else{f=new $pe(d);let m=d.inHeight*d.inWidth,g=d.inChannels,y=d.filterHeight*d.filterWidth*d.outChannels;h.push({type:"uint32",data:[m]},{type:"uint32",data:[g]},{type:"uint32",data:[y]})}return a.runWebGPUProgram(f,[r,s],"float32",h)}var Ppe={kernelName:mi,backendName:"webgpu",kernelFunc:Dpe},Ope=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims: vec3, pads: vec3, strides: vec3, dilations: vec3,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3dnaive"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords.x; + let d2 = coords.u; + + let xFRCCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + + let inputDepthNearestVec4 = (uniforms.xShape.u / 4) * 4; + let inputDepthVec4Remainder = uniforms.xShape.u % 4; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= uniforms.xShape.y) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= uniforms.xShape.z) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= uniforms.xShape.w) { + continue; + } + + for (var d1 = 0; d1 < inputDepthNearestVec4; d1 += 4) { + let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3) + ); + let wValues = vec4( + getW(wF, wR, wC, d1, d2), + getW(wF, wR, wC, d1 + 1, d2), + getW(wF, wR, wC, d1 + 2, d2), + getW(wF, wR, wC, d1 + 3, d2) + ); + + dotProd += dot(xValues, wValues); + } + + if (inputDepthVec4Remainder == 1) { + dotProd += getX(batch, xF, xR, xC, inputDepthNearestVec4) * + getW(wF, wR, wC, inputDepthNearestVec4, d2); + } else if (inputDepthVec4Remainder == 2) { + let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1) + ); + let wValues = vec2( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2) + ); + dotProd += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2) + ); + let wValues = vec3( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 2, d2) + ); + dotProd += dot(xValues, wValues); + } + } + } + } + setOutputAtIndex(index, dotProd); + } + }`}};function zpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=S.computeConv3DInfo(r.shape,s.shape,i,l,o),p=[u.padInfo.front,u.padInfo.top,u.padInfo.left],c=[{type:"int32",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:"int32",data:[...p]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationDepth,u.dilationHeight,u.dilationWidth]}],d=new Ope(u),h=pa(r.dtype,s.dtype);return a.runWebGPUProgram(d,[r,s],h,c)}var Lpe={kernelName:gi,backendName:"webgpu",kernelFunc:zpe};function Wpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=n,u=S.computeConv3DInfo(r.shape,l,i,1,o),p=new Rpe(u),c=[{type:"int32",data:[u.padInfo.front,u.padInfo.top,u.padInfo.left]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.batchSize]},{type:"int32",data:[u.outDepth]},{type:"int32",data:[u.outHeight]},{type:"int32",data:[u.outWidth]},{type:"int32",data:[u.inDepth]},{type:"int32",data:[u.inHeight]},{type:"int32",data:[u.inWidth]}];return a.runWebGPUProgram(p,[r,s],s.dtype,c)}var Bpe={kernelName:ru,backendName:"webgpu",kernelFunc:Wpe};function Vpe(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{strides:i,pad:o,inputShape:l}=n,u=S.computeConv3DInfo(l,s.shape,i,1,o),p=new Epe(u),c=[{type:"int32",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:"int32",data:[u.filterDepth-1-u.padInfo.front,u.filterHeight-1-u.padInfo.top,u.filterWidth-1-u.padInfo.left]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.outDepth]},{type:"int32",data:[u.outHeight]},{type:"int32",data:[u.outWidth]},{type:"int32",data:[u.outChannels]}];return a.runWebGPUProgram(p,[r,s],r.dtype,c)}var Upe={kernelName:yi,backendName:"webgpu",kernelFunc:Vpe},Gpe=tt({opType:le.COS}),Hpe={kernelName:xi,backendName:"webgpu",kernelFunc:Gpe},jpe=tt({opType:le.COSH}),qpe={kernelName:Ai,backendName:"webgpu",kernelFunc:jpe},Xpe=class{constructor(e,t,a,n){this.variableNames=["Image","Boxes","BoxInd"],this.uniforms="extrapolationValue : f32,",this.workgroupSize=[64,1,1],this.size=!0;let[r]=t;this.outputShape=[r,a[0],a[1],e],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n==="bilinear"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=["f32(uniforms.imageShape[1] - 1)","f32(uniforms.imageShape[2] - 1)"],[a,n,r]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,"(y2-y1) * height_ratio",`y1*${e} + f32(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${e}`],[s,i,o]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,"(x2-x1) * width_ratio",`x1*${t} + f32(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${t}`];return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let height_ratio = f32(${a}); @@ -6550,24 +7006,24 @@ return a / b;`,jK=` } } } - `}},Qoe=e=>{let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,p=new Joe(r.shape[3],s.shape,o,l),c=[{type:"float32",data:[u]}];return a.runWebGPUProgram(p,[r,s,i],"float32",c)},ele={kernelName:ui,backendName:"webgpu",kernelFunc:Qoe},vd;(function(e){e.Prod="*",e.Sum="+"})(vd||(vd={}));var qy=class{constructor(e,t,a,n){this.variableNames=["x"],this.uniforms="index : f32,",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=a,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===vd.Prod?"1.0":"0.0",a=this.exclusive?t:`getX(${Xy(e,"coords",this.op)})`,n=this.outputShape[this.outputShape.length-1],r="",s="";return this.exclusive?(r=this.reverse?`end != ${n-1}`:"end != 0",s=this.reverse?"end + 1":"end - 1"):(r=this.reverse?`end + pow2 < ${n}`:"end >= pow2",s=this.reverse?"end + pow2":"end - pow2"),` - ${ke("index")} { + `}},Kpe=e=>{let{inputs:t,backend:a,attrs:n}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=n,p=new Xpe(r.shape[3],s.shape,o,l),c=[{type:"float32",data:[u]}];return a.runWebGPUProgram(p,[r,s,i],"float32",c)},Ype={kernelName:wi,backendName:"webgpu",kernelFunc:Kpe},Yd;(function(e){e.Prod="*",e.Sum="+"})(Yd||(Yd={}));var Wx=class{constructor(e,t,a,n){this.variableNames=["x"],this.uniforms="index : f32,",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=a,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===Yd.Prod?"1.0":"0.0",a=this.exclusive?t:`getX(${Bx(e,"coords",this.op)})`,n=this.outputShape[this.outputShape.length-1],r="",s="";return this.exclusive?(r=this.reverse?`end != ${n-1}`:"end != 0",s=this.reverse?"end + 1":"end - 1"):(r=this.reverse?`end + pow2 < ${n}`:"end >= pow2",s=this.reverse?"end + pow2":"end - pow2"),` + ${de("index")} { if (index < uniforms.size) { var coords = getCoordsFromIndex(index); - let end = ${Ky(e,"coords",this.op)}; + let end = ${Vx(e,"coords",this.op)}; var val = ${a}; let pow2 = i32(pow(2.0, uniforms.index)); if (${r}) { let idx = ${s}; - ${Ky(e,"coords",this.op)} = idx; - val ${this.op}= getX(${Xy(e,"coords",this.op)}); + ${Vx(e,"coords",this.op)} = idx; + val ${this.op}= getX(${Bx(e,"coords",this.op)}); } setOutputAtIndex(index, val); } } - `}};function Xy(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function Ky(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function z8(e,t,a,n,r,s){let i=t.shape.length,o=T.getAxesPermutation([n],i),l=t;o!=null&&(l=kr({inputs:{x:t},backend:a,attrs:{perm:o}}));let u=T.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let p=l.shape[u],c=en({inputs:{x:l},backend:a});for(let d=0;d<=Math.ceil(Math.log2(p))-1;d++){let h=new qy(e,l.shape,!1,s),f=c,m=[{type:"float32",data:[d]}];c=a.runWebGPUProgram(h,[c],c.dtype,m),a.disposeData(f.dataId)}if(r){let d=new qy(e,l.shape,r,s),h=c,f=[{type:"float32",data:[0]}];c=a.runWebGPUProgram(d,[c],c.dtype,f),a.disposeData(h.dataId)}if(o!=null){let d=T.getUndoAxesPermutation(o),h=kr({inputs:{x:c},backend:a,attrs:{perm:d}});return a.disposeData(c.dataId),a.disposeData(l.dataId),h}return c}function tle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return z8(vd.Prod,r,a,s,i,o)}var ale={kernelName:oi,backendName:"webgpu",kernelFunc:tle};function nle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return z8(vd.Sum,r,a,s,i,o)}var rle={kernelName:li,backendName:"webgpu",kernelFunc:nle};function sle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=n,l=r.shape.length===1,u=v.sizeFromShape(s.shape)>0,p=s.dtype,c=l?[r.shape[0]]:[r.shape[0],r.shape[1]],d=l?[i]:[r.shape[0],i],h=Nr({backend:a,attrs:{shape:d,value:0,dtype:p}}),f=new P8(c,u,o),m=[{type:"int32",data:[i]}],g=u?[r,s]:[r];return a.runWebGPUProgram(f,g,p,m,h)}var ile={kernelName:Nd,backendName:"webgpu",kernelFunc:sle},ole=class{constructor(e,t){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms="blockSize : i32,",this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return` - ${ke("index")} { + `}};function Bx(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function Vx(e,t,a){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw Error(`Cumulative ${a} for rank ${e} is not yet supported`)}function ik(e,t,a,n,r,s){let i=t.shape.length,o=S.getAxesPermutation([n],i),l=t;o!=null&&(l=Bn({inputs:{x:t},backend:a,attrs:{perm:o}}));let u=S.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let p=l.shape[u],c=tn({inputs:{x:l},backend:a});for(let d=0;d<=Math.ceil(Math.log2(p))-1;d++){let h=new Wx(e,l.shape,!1,s),f=c,m=[{type:"float32",data:[d]}];c=a.runWebGPUProgram(h,[c],c.dtype,m),a.disposeData(f.dataId)}if(r){let d=new Wx(e,l.shape,r,s),h=c,f=[{type:"float32",data:[0]}];c=a.runWebGPUProgram(d,[c],c.dtype,f),a.disposeData(h.dataId)}if(o!=null){let d=S.getUndoAxesPermutation(o),h=Bn({inputs:{x:c},backend:a,attrs:{perm:d}});return a.disposeData(c.dataId),a.disposeData(l.dataId),h}return c}function Zpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return ik(Yd.Prod,r,a,s,i,o)}var Jpe={kernelName:bi,backendName:"webgpu",kernelFunc:Zpe};function Qpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=n;return ik(Yd.Sum,r,a,s,i,o)}var ece={kernelName:vi,backendName:"webgpu",kernelFunc:Qpe};function tce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=n,l=r.shape.length===1,u=v.sizeFromShape(s.shape)>0,p=s.dtype,c=l?[r.shape[0]]:[r.shape[0],r.shape[1]],d=l?[i]:[r.shape[0],i],h=Mn({backend:a,attrs:{shape:d,value:0,dtype:p}}),f=new ak(c,u,o),m=[{type:"int32",data:[i]}],g=u?[r,s]:[r];return a.runWebGPUProgram(f,g,p,m,h)}var ace={kernelName:su,backendName:"webgpu",kernelFunc:tce},nce=class{constructor(e,t){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms="blockSize : i32,",this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -6586,8 +7042,8 @@ return a / b;`,jK=` let rlt = ${this.getInputSamplingString()}; setOutputAtIndex(index, rlt); } - }`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?"uniforms.outShape[3]":"uniforms.outShape[1]"}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function lle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=[{type:"int32",data:[s]}],g=new ole(f,i);return a.runWebGPUProgram(g,[r],r.dtype,m)}var ule={kernelName:di,backendName:"webgpu",kernelFunc:lle},dle=class{constructor(e,t,a,n=!1,r=null,s=!1){this.variableNames=["x","W"],this.uniforms="pad : vec2, inDims : vec2,",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),this.addBias=n,this.activation=r,this.hasPreluActivation=s,this.filterHeight=t,this.filterWidth=a,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],a=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return` - ${Cr(this.activation,this.hasPreluActivation,!1,4)} + }`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?"uniforms.outShape[3]":"uniforms.outShape[1]"}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function rce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockSize:s,dataFormat:i}=n,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],c=l*s,d=u*s,h=p/(s*s),f=i==="NHWC"?[o,c,d,h]:[o,h,c,d],m=[{type:"int32",data:[s]}],g=new nce(f,i);return a.runWebGPUProgram(g,[r],r.dtype,m)}var sce={kernelName:ki,backendName:"webgpu",kernelFunc:rce},ice=class{constructor(e,t,a,n=!1,r=null,s=!1){this.variableNames=["x","W"],this.uniforms="pads : vec2, inDims : vec2,",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),this.addBias=n,this.activation=r,this.hasPreluActivation=s,this.filterHeight=t,this.filterWidth=a,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],a=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return` + ${Mr(this.activation,this.hasPreluActivation,!1,4)} var mm_Asub : array, ${a}>; var mm_Bsub : array, ${this.filterHeight}>; @@ -6600,10 +7056,10 @@ return a / b;`,jK=` return value; } - ${ke()} { + ${de()} { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.zw) - uniforms.pad; + let xRCCorner = vec2(coords.zw) - uniforms.pads; let channelMul = uniforms.wShape[3]; let d1 = coords[1] / channelMul; let q = coords[1] % channelMul; @@ -6643,13 +7099,13 @@ return a / b;`,jK=` value = fma(xVal, wVal, value); } } - ${ko(this.addBias,this.activation)} + ${Yo(this.addBias,this.activation)} if (coordsInBounds4D(coords, uniforms.outShape)) { setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } - `}},L8=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms="pad : vec2, inDims : vec2,",this.workgroupSize=[4,4,4],this.workPerThread=4,this.isVec4=!0,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),v.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=a,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${a}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,a=this.convInfo.strideWidth;return` - ${Cr(this.activation,this.hasPreluActivation,!0,4)} + `}},ok=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms="pads : vec2, inDims : vec2,",this.workgroupSize=[4,4,4],this.workPerThread=4,this.outputComponent=4,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),v.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=a,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${a}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,a=this.convInfo.strideWidth;return` + ${Mr(this.activation,this.hasPreluActivation,!0,4)} fn readX(batch : i32, row : i32, col : i32, channel : i32) -> vec4 { var value = vec4(0.0); if (col >=0 && col < uniforms.inDims[1]) { @@ -6658,12 +7114,12 @@ return a / b;`,jK=` return value; } - ${ke()} { + ${de()} { let batch = i32(globalId.z) / uniforms.outShape[1]; let r = i32(globalId.z) % uniforms.outShape[1]; let c = i32(globalId.y) * ${this.workPerThread}; let d1 = i32(globalId.x) * 4; - let xRCCorner = vec2(r, c) * vec2(${t}, ${a}) - uniforms.pad; + let xRCCorner = vec2(r, c) * vec2(${t}, ${a}) - uniforms.pads; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -6693,20 +7149,20 @@ return a / b;`,jK=` let coords = vec4(batch, r, c + i, d1); if (coordsInBounds4D(coords, uniforms.outShape)) { var value = dotProd[i]; - ${ko(this.addBias,this.activation)} + ${Yo(this.addBias,this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } } - `}},B8=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms=`pad : vec2, inDims : vec2, filterHeight : i32, - filterWidth : i32, stride : vec2, dilation : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=a,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?"getX(batch, xR, xC, d1);":"getX(batch, d1, xR, xC);";return` - ${Cr(this.activation,this.hasPreluActivation,!1,4)} + `}},lk=class{constructor(e,t=!1,a=null,n=!1){this.variableNames=["x","W"],this.uniforms=`pads : vec2, inDims : vec2, filterHeight : i32, + filterWidth : i32, strides : vec2, dilations : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=a,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?"getX(batch, xR, xC, d1);":"getX(batch, d1, xR, xC);";return` + ${Mr(this.activation,this.hasPreluActivation,!1,4)} - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.${this.isChannelsLast?"yz":"zw"}) * uniforms.stride - uniforms.pad; + let xRCCorner = vec2(coords.${this.isChannelsLast?"yz":"zw"}) * uniforms.strides - uniforms.pads; let d2 = coords[${this.isChannelsLast?3:1}]; let channelMul = uniforms.wShape[3]; let d1 = d2 / channelMul; @@ -6715,9 +7171,9 @@ return a / b;`,jK=` let inputRowStart = xRCCorner.x; let inputColStart = xRCCorner.y; let inputRowEnd = inputRowStart + uniforms.filterHeight * - uniforms.dilation[0]; + uniforms.dilations[0]; let inputColEnd = inputColStart + uniforms.filterWidth * - uniforms.dilation[1]; + uniforms.dilations[1]; // Convolve x(?, ?, d1)|x(d1, ?, ?) with w(:, :, d1, q) to get // y(yR, yC, d2)|y(d2, yR, yC). ? = to be determined. : = across all @@ -6730,10 +7186,10 @@ return a / b;`,jK=` inputRowEnd < uniforms.inDims[0] && inputColEnd < uniforms.inDims[1]) { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; let xVal = ${e}; let wVal = getW(wR, wC, d1, q); @@ -6742,14 +7198,14 @@ return a / b;`,jK=` } } else { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; if (xR < 0 || xR >= uniforms.inDims[0]) { continue; } for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; if (xC < 0 || xC >= uniforms.inDims[1]) { continue; @@ -6761,36 +7217,115 @@ return a / b;`,jK=` } } } - ${ko(this.addBias,this.activation)} + ${Yo(this.addBias,this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } - `}};function ple(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n,c=T.convertConv2DDataFormat(l),d=u;d==null&&(d=[1,1]);let h=T.computeConv2DInfo(r.shape,s.shape,i,d,o,p,!0,c),f=[{type:"int32",data:[h.padInfo.top,h.padInfo.left]},{type:"int32",data:[h.inHeight,h.inWidth]}],m=h.dataFormat==="channelsLast",g;return!m&&h.inHeight>16&&h.inWidth>16&&h.strideHeight===1&&h.strideWidth===1&&h.dilationWidth===1&&h.dilationHeight===1&&h.inChannels===h.outChannels?g=new dle(h.outShape,h.filterHeight,h.filterWidth):m&&h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?g=new L8(h):(g=new B8(h),f.push({type:"int32",data:[h.filterHeight]},{type:"int32",data:[h.filterWidth]},{type:"int32",data:[h.strideHeight,h.strideWidth]},{type:"int32",data:[h.dilationHeight,h.dilationWidth]})),a.runWebGPUProgram(g,[r,s],r.dtype,f)}var cle={kernelName:pi,backendName:"webgpu",kernelFunc:ple},hle=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="diag"}getUserCode(){return` - ${ke("index")} { + `}};function oce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=n,c=S.convertConv2DDataFormat(l),d=u;d==null&&(d=[1,1]);let h=S.computeConv2DInfo(r.shape,s.shape,i,d,o,p,!0,c),f=[{type:"int32",data:[h.padInfo.top,h.padInfo.left]},{type:"int32",data:[h.inHeight,h.inWidth]}],m=h.dataFormat==="channelsLast",g;return!m&&h.inHeight>16&&h.inWidth>16&&h.strideHeight===1&&h.strideWidth===1&&h.dilationWidth===1&&h.dilationHeight===1&&h.inChannels===h.outChannels?g=new ice(h.outShape,h.filterHeight,h.filterWidth):m&&h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?g=new ok(h):(g=new lk(h),f.push({type:"int32",data:[h.filterHeight]},{type:"int32",data:[h.filterWidth]},{type:"int32",data:[h.strideHeight,h.strideWidth]},{type:"int32",data:[h.dilationHeight,h.dilationWidth]})),a.runWebGPUProgram(g,[r,s],r.dtype,f)}var lce={kernelName:Ii,backendName:"webgpu",kernelFunc:oce},uce=class{constructor(e){this.variableNames=["x","dy"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2, outHeight : i32, + outWidth : i32, inHeight : i32, inWidth : i32, batchSize : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="depthwise_conv2d_backprop_filter"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wR = coords[0]; + let wC = coords[1]; + let d1 = coords[2]; + let dm = coords[3]; + let d2 = d1 * uniforms.channelMul + dm; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; + + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; + + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yR, yC, d2); + let xValue = getX(b, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},dce=class{constructor(e){this.variableNames=["dy","W"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="depthwise_conv2d_backprop_input"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d1 = coords[3]; + let dyCorner = coords.yz - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + + var dotProd = 0.0; + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + + let idyR = i32(dyR); + let wRPerm = uniforms.filterDims[0] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + + let idyC = i32(dyC); + let wCPerm = uniforms.filterDims[1] - 1 - wC; + + for (var dm = 0; dm < uniforms.channelMul; dm++) { + let d2 = d1 * uniforms.channelMul + dm; + let xValue = getDy(batch, idyR, idyC, d2); + let wValue = getW(wRPerm, wCPerm, d1, dm); + dotProd += xValue * wValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function pce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=n,c=S.computeConv2DInfo(r.shape,p,i,o,l,u,!0),d=new uce(c),h=[{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.filterHeight,c.filterWidth]},{type:"int32",data:[c.outHeight]},{type:"int32",data:[c.outWidth]},{type:"int32",data:[c.inHeight]},{type:"int32",data:[c.inWidth]},{type:"int32",data:[c.batchSize]},{type:"int32",data:[c.outChannels/c.inChannels]}];return a.runWebGPUProgram(d,[r,s],"float32",h)}var cce={kernelName:rp,backendName:"webgpu",kernelFunc:pce};function hce(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=n,c=S.computeConv2DInfo(p,s.shape,i,o,l,u,!0),d=new dce(c),h=[{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.filterHeight-1-c.padInfo.top,c.filterWidth-1-c.padInfo.left]},{type:"int32",data:[c.filterHeight,c.filterWidth]},{type:"int32",data:[c.outHeight]},{type:"int32",data:[c.outWidth]},{type:"int32",data:[c.outChannels/c.inChannels]}];return a.runWebGPUProgram(d,[r,s],r.dtype,h)}var fce={kernelName:sp,backendName:"webgpu",kernelFunc:hce},mce=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="diag"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let value = select(0.0, getX(coords[0]), coords[0] == coords[1]); setOutputAtIndex(index, value); } } - `}};function fle(e){let{inputs:t,backend:a}=e,{x:n}=t,r=[...n.shape,...n.shape],s=v.sizeFromShape(n.shape),i=Ie({inputs:{x:n},backend:a,attrs:{shape:[s]}}),o=new hle(s),l=a.runWebGPUProgram(o,[i],i.dtype),u=Ie({inputs:{x:l},backend:a,attrs:{shape:r}});return a.disposeData(i.dataId),a.disposeData(l.dataId),u}var mle={kernelName:Ed,backendName:"webgpu",kernelFunc:fle},gle=class{constructor(e){this.variableNames=["x","w"],this.uniforms="filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="dilation2d"}getUserCode(){return` - ${ke("index")} { + `}};function gce(e){let{inputs:t,backend:a}=e,{x:n}=t,r=[...n.shape,...n.shape],s=v.sizeFromShape(n.shape),i=we({inputs:{x:n},backend:a,attrs:{shape:[s]}}),o=new mce(s),l=a.runWebGPUProgram(o,[i],i.dtype),u=we({inputs:{x:l},backend:a,attrs:{shape:r}});return a.disposeData(i.dataId),a.disposeData(l.dataId),u}var yce={kernelName:iu,backendName:"webgpu",kernelFunc:gce},xce=class{constructor(e){this.variableNames=["x","w"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="dilation2d"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let neg_infinity = -3.4e38; let coords = getOutputCoords(); let batch = coords.x; let d1 = coords.w; - let outTopLeftCorner = coords.yz * uniforms.stride - uniforms.pad; + let outTopLeftCorner = coords.yz * uniforms.strides - uniforms.pads; let hBeg = outTopLeftCorner.x; let wBeg = outTopLeftCorner.y; var curVal = neg_infinity; for (var h = 0; h < uniforms.filterDims[0]; h = h + 1) { - let hIn = hBeg + h * uniforms.dilation[0]; + let hIn = hBeg + h * uniforms.dilations[0]; if (hIn >= 0 && hIn < uniforms.xShape[1]) { for (var w = 0; w < uniforms.filterDims[1]; w = w + 1) { - let wIn = wBeg + w * uniforms.dilation[1]; + let wIn = wBeg + w * uniforms.dilations[1]; if (wIn >= 0 && wIn < uniforms.xShape[2]) { let val = getX(batch, hIn, wIn, d1) + getW(h, w, d1); @@ -6805,7 +7340,94 @@ return a / b;`,jK=` setOutputAtIndex(index, curVal); } } - `}};function yle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=T.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p=[u.padInfo.top,u.padInfo.left],c=[{type:"int32",data:[u.filterHeight,u.filterWidth]},{type:"int32",data:[...p]},{type:"int32",data:[u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationHeight,u.dilationWidth]}],d=new gle(u);return a.runWebGPUProgram(d,[r,s],r.dtype,c)}var xle={kernelName:Rd,backendName:"webgpu",kernelFunc:yle},W8=Jt({opType:Pe.MUL,cpuKernelImpl:rie,supportsComplex:!0}),Ale={kernelName:Li,backendName:"webgpu",kernelFunc:W8};function U3(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Io(r,s,i,"sum",a)}var ble={kernelName:io,backendName:"webgpu",kernelFunc:U3};function vle(e){let{inputs:t,backend:a,attrs:n}=e,{equation:r}=n,s=t,{allDims:i,summedDims:o,idDims:l}=T.decodeEinsumEquation(r,s.length);T.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=T.getEinsumComputePath(o,l),c=p.length,d=null,h=i.length,f=[];for(let m=0;m=0&&(d=U3({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeData(m.dataId);return d}var kle={kernelName:Md,backendName:"webgpu",kernelFunc:vle},wle=et({opType:le.ELU}),Ile={kernelName:hi,backendName:"webgpu",kernelFunc:wle},Sle=Jt({opType:Pe.EQUAL,dtype:"bool",cpuKernelImpl:Gse}),Tle={kernelName:fi,backendName:"webgpu",kernelFunc:Sle},Cle=et({opType:le.ERF}),Nle={kernelName:Ml,backendName:"webgpu",kernelFunc:Cle},V8=et({opType:le.EXP,cpuKernelImpl:Hse,dtype:"float32"}),Ele={kernelName:mi,backendName:"webgpu",kernelFunc:V8};function P2(e){let{inputs:t,attrs:a,backend:n}=e,{dim:r}=a,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),Ie({inputs:{x:s},backend:n,attrs:{shape:o}})}var Rle={kernelName:$l,backendName:"webgpu",kernelFunc:P2},Mle=et({opType:le.EXPM1,cpuKernelImpl:jse}),$le={kernelName:_l,backendName:"webgpu",kernelFunc:Mle},Zy=class{constructor(e,t){this.variableNames=["real","imag"],this.outputShape=[],this.uniforms="exponentMultiplier : f32, denominator: f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return` + `}};function Ace(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=n,u=S.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p=[u.padInfo.top,u.padInfo.left],c=[{type:"int32",data:[u.filterHeight,u.filterWidth]},{type:"int32",data:[...p]},{type:"int32",data:[u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationHeight,u.dilationWidth]}],d=new xce(u);return a.runWebGPUProgram(d,[r,s],r.dtype,c)}var bce={kernelName:Si,backendName:"webgpu",kernelFunc:Ace},vce=class{constructor(e,t){if(this.variableNames=["x","w","dy"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.inShape,this.dispatchLayout=be(e.outShape),this.dispatch=ce(this.dispatchLayout,e.outShape,this.workgroupSize),t!=="float32"&&t!=="int32")throw new Error(`Dilation2DBackpropInput only supports float32 and int32 + types, does not support ${t} type.`);this.type=t,this.shaderKey="dilation2DBackpropInput"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var xRMax = 0; + var xCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + xRMax = xR; + xCMax = xC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.xShape[3] * + (xCMax + uniforms.xShape[2] * (xRMax + uniforms.xShape[1] * b)); + let value = getDy(b, r, c, d); + ${Gu("&result[flatIndexIn]","value",this.type)} + } + } + `}},wce=class{constructor(e,t,a){if(this.variableNames=["x","w","dy"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.filterShape,this.dispatchLayout=be(e.outShape),this.dispatch=ce(this.dispatchLayout,e.outShape,this.workgroupSize),a!=="float32"&&a!=="int32")throw new Error(`Dilation2DBackpropFilter only supports float32 and int32 + types, does not support ${a} type.`);this.type=a,this.shaderKey="dilation2DBackpropFilter"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var wRMax = 0; + var wCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + wRMax = wR; + wCMax = wC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.wShape[2] * (wCMax + wRMax * uniforms.wShape[1]); + let value = getDy(b, r, c, d); + ${Gu("&result[flatIndexIn]","value",this.type)} + } + } + `}};function kce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,dy:i}=t,{strides:o,pad:l,dilations:u}=n,p=S.computeDilation2DInfo(r.shape,s.shape,o,l,"NHWC",u),c=s.dtype,d=new wce(p,s.shape,c),h=[{type:"int32",data:[p.filterHeight,p.filterWidth]},{type:"int32",data:[p.padInfo.top,p.padInfo.left]},{type:"int32",data:[p.strideHeight,p.strideWidth]},{type:"int32",data:[p.dilationHeight,p.dilationWidth]},{type:"int32",data:[v.sizeFromShape(p.outShape)]}],f=Mn({backend:a,attrs:{shape:s.shape,value:0,dtype:c}});return a.runWebGPUProgram(d,[r,s,i],c,h,f)}var Ice={kernelName:Pl,backendName:"webgpu",kernelFunc:kce};function Sce(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,dy:i}=t,{strides:o,pad:l,dilations:u}=n,p=S.computeDilation2DInfo(r.shape,s.shape,o,l,"NHWC",u),c=r.dtype,d=new vce(p,c),h=[{type:"int32",data:[p.filterHeight,p.filterWidth]},{type:"int32",data:[p.padInfo.top,p.padInfo.left]},{type:"int32",data:[p.strideHeight,p.strideWidth]},{type:"int32",data:[p.dilationHeight,p.dilationWidth]},{type:"int32",data:[v.sizeFromShape(p.outShape)]}],f=Mn({backend:a,attrs:{shape:p.inShape,value:0,dtype:c}});return a.runWebGPUProgram(d,[r,s,i],c,h,f)}var Cce={kernelName:Dl,backendName:"webgpu",kernelFunc:Sce},uk=ta({opType:_e.MUL,cpuKernelImpl:$ue,supportsComplex:!0}),Tce={kernelName:io,backendName:"webgpu",kernelFunc:uk};function dk(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Jo(r,s,i,"sum",a)}var Nce={kernelName:_o,backendName:"webgpu",kernelFunc:dk};function Rce(e){let{inputs:t,backend:a,attrs:n}=e,{equation:r}=n,s=t,{allDims:i,summedDims:o,idDims:l}=S.decodeEinsumEquation(r,s.length);S.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=S.getEinsumComputePath(o,l),c=p.length,d=null,h=i.length,f=[];for(let m=0;m=0&&(d=dk({inputs:{x:d},backend:a,attrs:{axis:u[m]-(i.length-h),keepDims:!1}}),f.push(d)),h--)}for(let m of f)m!==d&&a.disposeData(m.dataId);return d}var Ece={kernelName:ip,backendName:"webgpu",kernelFunc:Rce},Mce=tt({opType:le.ELU}),Fce={kernelName:Ti,backendName:"webgpu",kernelFunc:Mce},_ce=e=>{let{inputs:t,backend:a}=e,{dy:n,y:r}=t,s=new xh(_e.ELU_DER,n.shape,r.shape);return a.runWebGPUProgram(s,[n,r],n.dtype)},$ce={kernelName:ou,backendName:"webgpu",kernelFunc:_ce},Dce=ta({opType:_e.EQUAL,dtype:"bool",cpuKernelImpl:Aue}),Pce={kernelName:Ni,backendName:"webgpu",kernelFunc:Dce},Oce=tt({opType:le.ERF}),zce={kernelName:lu,backendName:"webgpu",kernelFunc:Oce},Lce=tt({opType:le.EXP,cpuKernelImpl:bue,dtype:"float32"}),Wce={kernelName:Ri,backendName:"webgpu",kernelFunc:Lce};function P1(e){let{inputs:t,attrs:a,backend:n}=e,{dim:r}=a,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),we({inputs:{x:s},backend:n,attrs:{shape:o}})}var Bce={kernelName:uu,backendName:"webgpu",kernelFunc:P1},Vce=tt({opType:le.EXPM1,cpuKernelImpl:vue}),Uce={kernelName:Ei,backendName:"webgpu",kernelFunc:Vce},Ux=class{constructor(e,t){this.variableNames=["real","imag"],this.outputShape=[],this.uniforms="exponentMultiplier : f32, denominator: f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return` fn unaryOpComplex(real: f32, expR: f32, imag: f32, expI: f32) -> f32 { ${this.component==="real"?"return real * expR - imag * expI;":"return real * expI + imag * expR;"} } @@ -6832,14 +7454,14 @@ return a / b;`,jK=` return result; } - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); setOutputAtIndex(index, mulMatDFT(coords[0], coords[1])); } } - `}};function U8(e,t,a){let n=a.tensorMap.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=[],l=Ie({inputs:{x:e},backend:a,attrs:{shape:[i,s]}});o.push(l);let u=l.shape,p=new Zy("real",u),c=new Zy("imag",u),d=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],h=t?2*Math.PI:-2*Math.PI,f=t?u[1]:1,m=[{type:"float32",data:[h]},{type:"float32",data:[f]}],g=a.runWebGPUProgram(p,d,"float32",m);o.push(g);let y=a.runWebGPUProgram(c,d,"float32",m);o.push(y);let x=wo({inputs:{real:g,imag:y},backend:a});o.push(x);let A=Ie({inputs:{x},backend:a,attrs:{shape:e.shape}});return o.forEach(b=>a.disposeData(b.dataId)),A}function _le(e){let{inputs:t,backend:a}=e,{input:n}=t;return U8(n,!1,a)}var Ple={kernelName:$d,backendName:"webgpu",kernelFunc:_le},Fle=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="flipLeftRight"}getUserCode(){return` - ${ke("index")} { + `}};function pk(e,t,a){let n=a.tensorMap.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=[],l=we({inputs:{x:e},backend:a,attrs:{shape:[i,s]}});o.push(l);let u=l.shape,p=new Ux("real",u),c=new Ux("imag",u),d=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],h=t?2*Math.PI:-2*Math.PI,f=t?u[1]:1,m=[{type:"float32",data:[h]},{type:"float32",data:[f]}],g=a.runWebGPUProgram(p,d,"float32",m);o.push(g);let y=a.runWebGPUProgram(c,d,"float32",m);o.push(y);let x=Zo({inputs:{real:g,imag:y},backend:a});o.push(x);let A=we({inputs:{x},backend:a,attrs:{shape:e.shape}});return o.forEach(b=>a.disposeData(b.dataId)),A}function Gce(e){let{inputs:t,backend:a}=e,{input:n}=t;return pk(n,!1,a)}var Hce={kernelName:op,backendName:"webgpu",kernelFunc:Gce},jce=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="flipLeftRight"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordX = uniforms.xShape[2] - coords[2] - 1; @@ -6847,9 +7469,9 @@ return a / b;`,jK=` setOutputAtIndex(index, outputValue); } } - `}},Ole={kernelName:gi,backendName:"webgpu",kernelFunc:({inputs:e,backend:t})=>{let{image:a}=e,n=t,r=new Fle(a.shape);return n.runWebGPUProgram(r,[a],a.dtype)}},Dle=et({opType:le.FLOOR,cpuKernelImpl:qse}),zle={kernelName:yi,backendName:"webgpu",kernelFunc:Dle},Lle=Jt({opType:Pe.INT_DIV,dtype:"int32"}),Ble={kernelName:xi,backendName:"webgpu",kernelFunc:Lle},Wle=class{constructor(e,t,a=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=a,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?"textureLoad(src, vec2(coords.yx));":"textureLoad(src, vec2(coords.yx), 0)";return` + `}},qce={kernelName:Mi,backendName:"webgpu",kernelFunc:({inputs:e,backend:t})=>{let{image:a}=e,n=t,r=new jce(a.shape);return n.runWebGPUProgram(r,[a],a.dtype)}},Xce=tt({opType:le.FLOOR,cpuKernelImpl:wue}),Kce={kernelName:Fi,backendName:"webgpu",kernelFunc:Xce},Yce=ta({opType:_e.INT_DIV,cpuKernelImpl:kue,dtype:"int32"}),Zce={kernelName:_i,backendName:"webgpu",kernelFunc:Yce},Jce=class{constructor(e,t,a=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=a,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?"textureLoad(src, vec2(coords.yx));":"textureLoad(src, vec2(coords.yx), 0)";return` @binding(1) @group(0) var src: ${this.importVideo?"texture_external":"texture_2d"}; - ${ke("index")} { + ${de("index")} { let flatIndex = index * uniforms.numChannels; if (flatIndex < uniforms.size) { let coords = getCoordsFromIndex(flatIndex); @@ -6859,8 +7481,8 @@ return a / b;`,jK=` } } } - `}},Vle={kernelName:nd,backendName:"webgpu",kernelFunc:Ule},Zo,zm=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"),mc=new Map;function Ule(e){let{inputs:t,backend:a,attrs:n}=e,{pixels:r}=t,{numChannels:s}=n;if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,l=typeof HTMLCanvasElement!="undefined"&&r instanceof HTMLCanvasElement||typeof OffscreenCanvas!="undefined"&&r instanceof OffscreenCanvas,u=typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap,[p,c]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],d=[c,p,s],h=!1,f=i||o;if(u||l||f){let x;if(h){let M=r;if(!mc.has(M)||mc.get(M).expired){let R={source:M};mc.set(M,a.device.importExternalTexture(R))}x={width:p,height:c,format:null,usage:null,texture:mc.get(M)}}else{if(f){let _=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Zo==null||_!==zm)&&(zm=_,Zo=document.createElement("canvas").getContext("2d",{willReadFrequently:zm})),Zo.canvas.width=p,Zo.canvas.height=c,Zo.drawImage(r,0,0,p,c),r=Zo.canvas}let M=GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING,R="rgba8unorm",I=a.textureManager.acquireTexture(d[1],d[0],R,M);a.queue.copyExternalImageToTexture({source:r},{texture:I},[d[1],d[0]]),x={width:p,height:c,format:R,usage:M,texture:I}}let A=v.sizeFromShape(d),b=v.computeStrides(d),k=new Wle(d,s,h),S=[{type:"uint32",data:[A]},{type:"uint32",data:[s]},{type:"uint32",data:[...b]}],C=a.makeTensorInfo([c,p],"int32"),N=a.tensorMap.get(C.dataId);N.resourceInfo=x;let $=a.runWebGPUProgram(k,[C],"int32",S);return a.disposeData(C.dataId),$}let m=r.data,g=m;if(s!=null&&s!==4){g=new Uint8Array(r.width*r.height*s);let x=m.length,A=0;for(let b=0;b(xValue, -meanValue, offsetValue), vec3(inv, inv, 1.0))); } } - `}},Hle={kernelName:Ai,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n,scale:r,offset:s,mean:i,variance:o}=e,{varianceEpsilon:l}=t,u=a,p=[n,i,o],c=null;s!=null&&(c=s.shape,p.push(s));let d=null;r!=null&&(d=r.shape,p.push(r));let h=new Gle(n.shape,i.shape,o.shape,c,d),f=[{type:"float32",data:[l]}];return u.runWebGPUProgram(h,p,n.dtype,f)}};function jle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=T.convertConv2DDataFormat(p),g=T.computeConv2DInfo(r.shape,s.shape,l,c,u,d,!1,m);return D8({x:r,filter:s,convInfo:g,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:f,activation:h})}var qle={kernelName:jr,backendName:"webgpu",kernelFunc:jle};function Xle(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:c,activation:d,leakyreluAlpha:h}=n,f=p;f==null&&(f=[1,1]),v.assert(T.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let m=T.computeConv2DInfo(r.shape,s.shape,l,f,u,c,!0),g=[r,s],y=i!=null,x=o!=null;y&&g.push(i),x&&g.push(o);let A=[{type:"int32",data:[m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.inHeight,m.inWidth]}],b;return m.outHeight>4&&m.outWidth>4&&m.strideWidth<=2&&m.inChannels===m.outChannels&&m.dilationHeight===1&&m.dilationWidth===1&&m.inChannels%4===0?b=new L8(m,y,d,x):(b=new B8(m,y,d,x),A.push({type:"int32",data:[m.filterHeight]},{type:"int32",data:[m.filterWidth]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.dilationHeight,m.dilationWidth]})),d==="leakyrelu"&&(A.push({type:"float32",data:[h]}),b.uniforms+=" alpha : f32,"),a.runWebGPUProgram(b,g,"float32",A)}var Kle={kernelName:qr,backendName:"webgpu",kernelFunc:Xle},Zle=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${la(e)},`}getUserCode(){let e;return this.sliceDim>1?e="uniforms.strides[j]":e="uniforms.strides",` - ${ke("index")} { + `}},ahe={kernelName:$i,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n,scale:r,offset:s,mean:i,variance:o}=e,{varianceEpsilon:l}=t,u=a,p=[n,i,o],c=null;s!=null&&(c=s.shape,p.push(s));let d=null;r!=null&&(d=r.shape,p.push(r));let h=new the(n.shape,i.shape,o.shape,c,d),f=[{type:"float32",data:[l]}];return u.runWebGPUProgram(h,p,n.dtype,f)}};function nhe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:f}=n,m=S.convertConv2DDataFormat(p),g=S.computeConv2DInfo(r.shape,s.shape,l,c,u,d,!1,m);return sk({x:r,filter:s,convInfo:g,backend:a,bias:i,preluActivationWeights:o,leakyreluAlpha:f,activation:h})}var rhe={kernelName:Kr,backendName:"webgpu",kernelFunc:nhe};function she(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:c,activation:d,leakyreluAlpha:h}=n,f=p;f==null&&(f=[1,1]),v.assert(S.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let m=S.computeConv2DInfo(r.shape,s.shape,l,f,u,c,!0),g=[r,s],y=i!=null,x=o!=null;y&&g.push(i),x&&g.push(o);let A=[{type:"int32",data:[m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.inHeight,m.inWidth]}],b;return m.outHeight>4&&m.outWidth>4&&m.strideWidth<=2&&m.inChannels===m.outChannels&&m.dilationHeight===1&&m.dilationWidth===1&&m.inChannels%4===0?b=new ok(m,y,d,x):(b=new lk(m,y,d,x),A.push({type:"int32",data:[m.filterHeight]},{type:"int32",data:[m.filterWidth]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.dilationHeight,m.dilationWidth]})),d==="leakyrelu"&&(A.push({type:"float32",data:[h]}),b.uniforms+=" alpha : f32,"),a.runWebGPUProgram(b,g,"float32",A)}var ihe={kernelName:Yr,backendName:"webgpu",kernelFunc:she},ohe=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${Jt(e)},`}getUserCode(){let e;return this.sliceDim>1?e="uniforms.strides[j]":e="uniforms.strides",` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var flattenIndex = 0; @@ -6886,8 +7508,8 @@ return a / b;`,jK=` setOutputAtIndex(index, getA(flattenIndex, coords[1])); } } - `}};function Yle(e){let{inputs:t,backend:a}=e,{params:n,indices:r}=t,s=r.shape,i=s[s.length-1],o=v.sizeFromShape(n.shape),[l,u,p,c]=T.prepareAndValidate(n,r),d=Ie({inputs:{x:r},backend:a,attrs:{shape:[u,i]}}),h=Ie({inputs:{x:n},backend:a,attrs:{shape:[v.sizeFromShape(n.shape)/p,p]}});if(a.shouldExecuteOnCPU([n,r])||n.dtype==="string"){let x=a.readSync(r.dataId),A=a.bufferSync(n),b=Xse(x,A,n.dtype,u,i,p,c,n.shape,o);return a.makeTensorInfo(l,n.dtype,b.values)}let f=new Zle(i,[u,p]),m=[{type:"int32",data:[i]},{type:"int32",data:c}],g=a.runWebGPUProgram(f,[h,d],h.dtype,m),y=Ie({inputs:{x:g},backend:a,attrs:{shape:l}});return a.disposeData(d.dataId),a.disposeData(h.dataId),a.disposeData(g.dataId),y}var Jle={kernelName:bi,backendName:"webgpu",kernelFunc:Yle},Qle=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="gather"}getUserCode(){let e=eue(this.aShape);return` - ${ke("index")} { + `}};function lhe(e){let{inputs:t,backend:a}=e,{params:n,indices:r}=t,s=r.shape,i=s[s.length-1],o=v.sizeFromShape(n.shape),[l,u,p,c]=S.prepareAndValidate(n,r),d=we({inputs:{x:r},backend:a,attrs:{shape:[u,i]}}),h=we({inputs:{x:n},backend:a,attrs:{shape:[v.sizeFromShape(n.shape)/p,p]}});if(a.shouldExecuteOnCPU([n,r])||n.dtype==="string"){let x=a.readSync(r.dataId),A=a.bufferSync(n),b=Iue(x,A,n.dtype,u,i,p,c,n.shape,o);return a.makeTensorInfo(l,n.dtype,b.values)}let f=new ohe(i,[u,p]),m=[{type:"int32",data:[i]},{type:"int32",data:c}],g=a.runWebGPUProgram(f,[h,d],h.dtype,m),y=we({inputs:{x:g},backend:a,attrs:{shape:l}});return a.disposeData(d.dataId),a.disposeData(h.dataId),a.disposeData(g.dataId),y}var uhe={kernelName:Di,backendName:"webgpu",kernelFunc:lhe},dhe=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="gather"}getUserCode(){let e=phe(this.aShape);return` + ${de("index")} { if (index < uniforms.size) { let resRC = getCoordsFromIndex(index); let indexZ = i32(getIndices(resRC.x, resRC.z)); @@ -6895,13 +7517,13 @@ return a / b;`,jK=` setOutputAtIndex(index, inBounds * getA(${e})); } } - `}};function eue(e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let n=0;na.disposeData(C.dataId)),a.makeTensorInfo(u.outputShape,S.dtype,S.values)}let m=new Qle(d.shape,f),g=a.runWebGPUProgram(m,[d,h],d.dtype);c.push(g);let y=Ie({inputs:{x:g},backend:a,attrs:{shape:u.outputShape}});return c.forEach(x=>a.disposeData(x.dataId)),y}var tue={kernelName:Fl,backendName:"webgpu",kernelFunc:G8},aue=Jt({opType:Pe.GREATER,cpuKernelImpl:Yse,dtype:"bool"}),nue={kernelName:vi,backendName:"webgpu",kernelFunc:aue},rue=Jt({opType:Pe.GREATER_EQUAL,dtype:"bool",cpuKernelImpl:Zse}),sue={kernelName:ki,backendName:"webgpu",kernelFunc:rue};function iue(e){let{inputs:t,backend:a}=e,{input:n}=t;return U8(n,!0,a)}var oue={kernelName:_d,backendName:"webgpu",kernelFunc:iue},lue=et({opType:le.IS_FINITE,dtype:"bool"}),uue={kernelName:Ol,backendName:"webgpu",kernelFunc:lue},due=et({opType:le.IS_INF,dtype:"bool"}),pue={kernelName:Dl,backendName:"webgpu",kernelFunc:due},cue=et({opType:le.IS_NAN,dtype:"bool"}),hue={kernelName:Ii,backendName:"webgpu",kernelFunc:cue};function fue(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n,i=[{type:"float32",data:[s]}],o=new xu(r.shape,le.LEAKYRELU,"alpha : f32,");return a.runWebGPUProgram(o,[r],"float32",i)}var mue={kernelName:Si,backendName:"webgpu",kernelFunc:fue},gue=Jt({opType:Pe.LESS,dtype:"bool",cpuKernelImpl:Qse}),yue={kernelName:Ti,backendName:"webgpu",kernelFunc:gue},xue=Jt({opType:Pe.LESS_EQUAL,dtype:"bool",cpuKernelImpl:Jse}),Aue={kernelName:Ci,backendName:"webgpu",kernelFunc:xue},bue=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="start : f32, step : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="linSpace"}getUserCode(){return` - ${ke("index")} { + `}};function phe(e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let n=0;na.disposeData(T.dataId)),a.makeTensorInfo(u.outputShape,C.dtype,C.values)}let m=new dhe(d.shape,f),g=a.runWebGPUProgram(m,[d,h],d.dtype);c.push(g);let y=we({inputs:{x:g},backend:a,attrs:{shape:u.outputShape}});return c.forEach(x=>a.disposeData(x.dataId)),y}var che={kernelName:pu,backendName:"webgpu",kernelFunc:ck},hhe=ta({opType:_e.GREATER,cpuKernelImpl:Tue,dtype:"bool"}),fhe={kernelName:Pi,backendName:"webgpu",kernelFunc:hhe},mhe=ta({opType:_e.GREATER_EQUAL,dtype:"bool",cpuKernelImpl:Cue}),ghe={kernelName:Oi,backendName:"webgpu",kernelFunc:mhe};function yhe(e){let{inputs:t,backend:a}=e,{input:n}=t;return pk(n,!0,a)}var xhe={kernelName:lp,backendName:"webgpu",kernelFunc:yhe},Ahe=tt({opType:le.IS_FINITE,dtype:"bool"}),bhe={kernelName:Li,backendName:"webgpu",kernelFunc:Ahe},vhe=tt({opType:le.IS_INF,dtype:"bool"}),whe={kernelName:Wi,backendName:"webgpu",kernelFunc:vhe},khe=tt({opType:le.IS_NAN,dtype:"bool"}),Ihe={kernelName:Bi,backendName:"webgpu",kernelFunc:khe};function She(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{alpha:s}=n,i=[{type:"float32",data:[s]}],o=new Hu(r.shape,le.LEAKYRELU,"alpha : f32,");return a.runWebGPUProgram(o,[r],"float32",i)}var Che={kernelName:Vi,backendName:"webgpu",kernelFunc:She},The=ta({opType:_e.LESS,dtype:"bool",cpuKernelImpl:Rue}),Nhe={kernelName:Ui,backendName:"webgpu",kernelFunc:The},Rhe=ta({opType:_e.LESS_EQUAL,dtype:"bool",cpuKernelImpl:Nue}),Ehe={kernelName:Gi,backendName:"webgpu",kernelFunc:Rhe},Mhe=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="start : f32, step : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="linSpace"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.start + f32(index) * uniforms.step); } } - `}};function vue(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=(r-n)/(s-1),o=new bue(s),l=[{type:"float32",data:[n]},{type:"float32",data:[i]}];return t.runWebGPUProgram(o,[],"float32",l)}var kue={kernelName:Fd,backendName:"webgpu",kernelFunc:vue},wue=et({opType:le.LOG,cpuKernelImpl:eie}),Iue={kernelName:Ni,backendName:"webgpu",kernelFunc:wue},Sue=et({opType:le.LOG1P}),Tue={kernelName:zl,backendName:"webgpu",kernelFunc:Sue},Cue=Jt({opType:Pe.LOGICAL_AND,dtype:"bool"}),Nue={kernelName:Ei,backendName:"webgpu",kernelFunc:Cue},Eue=et({opType:le.LOGICAL_NOT}),Rue={kernelName:Ri,backendName:"webgpu",kernelFunc:Eue},Mue=Jt({opType:Pe.LOGICAL_OR}),$ue={kernelName:Mi,backendName:"webgpu",kernelFunc:Mue},H8=` + `}};function Fhe(e){let{backend:t,attrs:a}=e,{start:n,stop:r,num:s}=a,i=(r-n)/(s-1),o=new Mhe(s),l=[{type:"float32",data:[n]},{type:"float32",data:[i]}];return t.runWebGPUProgram(o,[],"float32",l)}var _he={kernelName:Hi,backendName:"webgpu",kernelFunc:Fhe},$he=tt({opType:le.LOG,cpuKernelImpl:Eue}),Dhe={kernelName:ji,backendName:"webgpu",kernelFunc:$he},Phe=tt({opType:le.LOG1P}),Ohe={kernelName:qi,backendName:"webgpu",kernelFunc:Phe},zhe=ta({opType:_e.LOGICAL_AND,dtype:"bool"}),Lhe={kernelName:Xi,backendName:"webgpu",kernelFunc:zhe},Whe=tt({opType:le.LOGICAL_NOT}),Bhe={kernelName:Ki,backendName:"webgpu",kernelFunc:Whe},Vhe=ta({opType:_e.LOGICAL_OR}),Uhe={kernelName:Yi,backendName:"webgpu",kernelFunc:Vhe},hk=` var powValue = 0.0; let basis = uniforms.bias + uniforms.alpha * sum; if (uniforms.beta == 0.5) { @@ -6911,8 +7533,8 @@ return a / b;`,jK=` } else { powValue = exp(log(basis) * (-uniforms.beta)); } -`,_ue=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn"}getUserCode(){return` - ${ke("index")} { +`,Ghe=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let b = coords[0]; @@ -6929,17 +7551,17 @@ return a / b;`,jK=` sum = sum + z * z; } } - ${H8} + ${hk} setOutputAtIndex(index, x * powValue); } } - `}},Pue=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,v.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=we(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey="lrn_shared"}getUserCode(){return` + `}},Hhe=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,v.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=ce(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey="lrn_shared"}getUserCode(){return` var lrnSub: array; const elementsPerWorkgroup = ${this.elementsPerWorkgroup}; const maxAllowRadius = ${this.maxAllowRadius}; - ${ke()} { + ${de()} { let localDepth = i32(localId.x); let workgroupDepth = i32(workgroupId.x) * elementsPerWorkgroup; let xDepth = workgroupDepth + localDepth - maxAllowRadius; @@ -6962,12 +7584,165 @@ return a / b;`,jK=` let z = lrnSub[index + i]; sum = sum + z * z; } - ${H8} + ${hk} setOutputAtCoords(b, r, c, d, lrnSub[index] * powValue); } - } `}};function Fue(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n,u;s>16?u=new _ue(r.shape):u=new Pue(r.shape,s);let p=[{type:"int32",data:[s]},{type:"float32",data:[i]},{type:"float32",data:[o]},{type:"float32",data:[l]}];return a.runWebGPUProgram(u,[r],r.dtype,p)}var Oue={kernelName:Od,backendName:"webgpu",kernelFunc:Fue},Due=Jt({opType:Pe.MAX,cpuKernelImpl:aie}),zue={kernelName:_i,backendName:"webgpu",kernelFunc:Due};function Lue(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1,p=T.computePool2DInfo(r.shape,s,i,u,o,l);return _8(r,p,"max",a)}var Bue={kernelName:Pi,backendName:"webgpu",kernelFunc:Lue};function Wue(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Io(r,s,i,"min",a)}var Vue={kernelName:Oi,backendName:"webgpu",kernelFunc:Wue},Uue=Jt({opType:Pe.MIN,cpuKernelImpl:nie}),Gue={kernelName:Di,backendName:"webgpu",kernelFunc:Uue},Hue=class{constructor(e,t,a){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,r)=>n[0]+e[r]+n[1]),this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,r)=>{this.uniforms+=` pad${r} : vec2,`}),this.offset=a==="reflect"?0:1,this.shaderKey=`mirrorPad_${a}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((l,u)=>`uniforms.pad${u}[0]`).join(","),a=this.xShape.map((l,u)=>`uniforms.pad${u}[0] + uniforms.xShape${e>1?`[${u}]`:""}`).join(","),n=e===1?"start":"start[i]",r=e===1?"end":"end[i]",s=e===1?"outC":"outC[i]",i=la(e),o=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` - ${ke("index")} { + } `}};function jhe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=n,u;s>16?u=new Ghe(r.shape):u=new Hhe(r.shape,s);let p=[{type:"int32",data:[s]},{type:"float32",data:[i]},{type:"float32",data:[o]},{type:"float32",data:[l]}];return a.runWebGPUProgram(u,[r],r.dtype,p)}var qhe={kernelName:Zi,backendName:"webgpu",kernelFunc:jhe},Xhe=class{constructor(e){this.outputShape=[],this.variableNames=["inputImage","outputImage","dy"],this.uniforms="depthRadius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn_grad"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + + let MIN_DEPTH_BEGIN = 0; + let MAX_DEPTH_END = uniforms.outShape[3]; + var result = 0.0; + for (var d = MIN_DEPTH_BEGIN; d < MAX_DEPTH_END; d++) { + let depthBegin = max(MIN_DEPTH_BEGIN, d - uniforms.depthRadius); + let depthEnd = min(MAX_DEPTH_END, d + uniforms.depthRadius + 1); + + var norm = 0.0; + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k); + } else { + break; + } + } + + norm = uniforms.alpha * norm + uniforms.bias; + + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + var dyi = -2.0 * uniforms.alpha * uniforms.beta + * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d) / norm; + if (k == d) { + dyi += pow(norm, -1.0 * uniforms.beta); + } + if (k == coords[3]) { + dyi *= getDy(b, r, c, d); + result += dyi; + } + } else { + break; + } + } + } + + setOutputAtIndex(index, result); + } + } + `}};function Khe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=n,c=new Xhe(r.shape),d=[{type:"int32",data:[o]},{type:"float32",data:[l]},{type:"float32",data:[u]},{type:"float32",data:[p]}];return a.runWebGPUProgram(c,[r,s,i],r.dtype,d)}var Yhe={kernelName:cu,backendName:"webgpu",kernelFunc:Khe},Zhe=ta({opType:_e.MAX,cpuKernelImpl:Fue}),Jhe={kernelName:Qi,backendName:"webgpu",kernelFunc:Zhe};function Qhe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=n,u=1,p=S.computePool2DInfo(r.shape,s,i,u,o,l);return tk(r,p,"max",a)}var e0e={kernelName:eo,backendName:"webgpu",kernelFunc:Qhe};function t0e(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=n,p=[1,1,1],c=S.computePool3DInfo(r.shape,s,i,p,o,u,l),d=new Dg(c,"max"),h=[{type:"int32",data:[c.strideDepth,c.strideHeight,c.strideWidth]},{type:"int32",data:[c.padInfo.front,c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.inDepth,c.inHeight,c.inWidth]},{type:"int32",data:[c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth]}];return a.runWebGPUProgram(d,[r],r.dtype,h)}var a0e={kernelName:hu,backendName:"webgpu",kernelFunc:t0e},n0e=class{constructor(e){this.variableNames=["dy","maxPos"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="maxPool2DBackprop"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + + let dyRCCorner = vec2(coords.yz) - uniforms.pads; + let dyRCorner = dyRCCorner.x; + let dyCCorner = dyRCCorner.y; + + // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] - 1; + for (var wR = 0; wR < uniforms.filterDims[0]; wR += uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[1]; wC += uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyR, idyC, d); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyR, idyC, d)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wR * uniforms.filterDims[1] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},r0e=class{constructor(e){this.variableNames=["dy","maxPos"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="maxPool3DBackprop"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] * uniforms.filterDims[2] - 1; + + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyD, idyR, idyC, ch)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wD * uniforms.filterDims[1] * uniforms.filterDims[2] + wR * uniforms.filterDims[2] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + } + + setOutputAtIndex(index, dotProd); + } + } + `}};function s0e(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=n,c=[1,1,1],d=S.computePool3DInfo(i.shape,o,l,c,u,p),h=new Dg(d,"max",!0),f=[{type:"int32",data:[d.strideDepth,d.strideHeight,d.strideWidth]},{type:"int32",data:[d.padInfo.front,d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.inDepth,d.inHeight,d.inWidth]},{type:"int32",data:[d.effectiveFilterDepth,d.effectiveFilterHeight,d.effectiveFilterWidth]}],m=a.runWebGPUProgram(h,[i],"int32",f),g=new r0e(d);f=[{type:"int32",data:[d.strideDepth,d.strideHeight,d.strideWidth]},{type:"int32",data:[d.effectiveFilterDepth-1-d.padInfo.front,d.effectiveFilterHeight-1-d.padInfo.top,d.effectiveFilterWidth-1-d.padInfo.left]},{type:"int32",data:[d.effectiveFilterDepth,d.effectiveFilterHeight,d.effectiveFilterWidth]},{type:"int32",data:[d.outDepth]},{type:"int32",data:[d.outHeight]},{type:"int32",data:[d.outWidth]}];let y=a.runWebGPUProgram(g,[r,m],i.dtype,f);return a.disposeData(m.dataId),y}var i0e={kernelName:dp,backendName:"webgpu",kernelFunc:s0e};function o0e(e){let{inputs:t,backend:a,attrs:n}=e,{dy:r,input:s,output:i}=t,o=s;Fg([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:c}=n,d=S.computePool2DInfo(o.shape,l,u,1,p,c),h=new Kd(d,"max",!0),f=[{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.dilationHeight,d.dilationWidth]},{type:"int32",data:[d.inHeight,d.inWidth]},{type:"int32",data:[d.effectiveFilterHeight,d.effectiveFilterWidth]}],m=a.runWebGPUProgram(h,[o],"int32",f),g=new n0e(d);f=[{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.effectiveFilterHeight-1-d.padInfo.top,d.effectiveFilterWidth-1-d.padInfo.left]},{type:"int32",data:[d.dilationHeight,d.dilationWidth]},{type:"int32",data:[d.effectiveFilterHeight,d.effectiveFilterWidth]},{type:"int32",data:[d.outHeight]},{type:"int32",data:[d.outWidth]}];let y=a.runWebGPUProgram(g,[r,m],o.dtype,f);return a.disposeData(m.dataId),y}var l0e={kernelName:Sh,backendName:"webgpu",kernelFunc:o0e};function u0e(e){let{inputs:t,backend:a,attrs:n}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=n,{x:l}=t;v.assert(l.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${l.shape.length}.`);let u=[1,1];v.assert(S.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=S.computePool2DInfo(l.shape,r,s,u,i),c=[{type:"int32",data:[p.strideHeight,p.strideWidth]},{type:"int32",data:[p.padInfo.top,p.padInfo.left]},{type:"int32",data:[p.dilationHeight,p.dilationWidth]},{type:"int32",data:[p.inHeight,p.inWidth]},{type:"int32",data:[p.effectiveFilterHeight,p.effectiveFilterWidth]}],d=new Kd(p,"max",!1),h=a.runWebGPUProgram(d,[l],l.dtype,c);d=new Kd(p,"max",!0,!0,o);let f=a.runWebGPUProgram(d,[l],"int32",c);return[h,f]}var d0e={kernelName:pp,backendName:"webgpu",kernelFunc:u0e};function p0e(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Jo(r,s,i,"min",a)}var c0e={kernelName:ao,backendName:"webgpu",kernelFunc:p0e},h0e=ta({opType:_e.MIN,cpuKernelImpl:_ue}),f0e={kernelName:no,backendName:"webgpu",kernelFunc:h0e},m0e=class{constructor(e,t,a){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,r)=>n[0]+e[r]+n[1]),this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,r)=>{this.uniforms+=` pad${r} : vec2,`}),this.offset=a==="reflect"?0:1,this.shaderKey=`mirrorPad_${a}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((l,u)=>`uniforms.pad${u}[0]`).join(","),a=this.xShape.map((l,u)=>`uniforms.pad${u}[0] + uniforms.xShape${e>1?`[${u}]`:""}`).join(","),n=e===1?"start":"start[i]",r=e===1?"end":"end[i]",s=e===1?"outC":"outC[i]",i=Jt(e),o=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` + ${de("index")} { if (index < uniforms.size) { let start = ${i}(${t}); let end = ${i}(${a}); @@ -6983,16 +7758,108 @@ return a / b;`,jK=` setOutputAtIndex(index, getX(${o})); } } - `}},jue={kernelName:zi,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{paddings:r,mode:s}=t,i=a,o=r.map(u=>({type:"int32",data:[u[0],u[1]]})),l=new Hue(n.shape,r,s);return i.runWebGPUProgram(l,[n],n.dtype,o)}},que=Jt({opType:Pe.MOD}),Xue={kernelName:Ll,backendName:"webgpu",kernelFunc:que};function Kue(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])){let s=a.tensorMap.get(n.dataId),[i,o]=sie(s.values,n.shape,n.dtype);return a.makeTensorInfo(o,n.dtype,i)}let r=new xu(n.shape,le.NEG);return a.runWebGPUProgram(r,[n],n.dtype)}var Zue={kernelName:Bl,backendName:"webgpu",kernelFunc:Kue};function Yue(e){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),{selectedIndices:c}=Nn.nonMaxSuppressionV3Impl(u,p,i,o,l);return a.makeTensorInfo([c.length],"int32",new Int32Array(c))}var Jue={kernelName:Wi,backendName:"webgpu",kernelFunc:Yue};function Que(e){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),d=i,h=o,f=l,m=u,{selectedIndices:g,selectedScores:y}=Nn.nonMaxSuppressionV5Impl(p,c,d,h,f,m);return[a.makeTensorInfo([g.length],"int32",new Int32Array(g)),a.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var ede={kernelName:Vi,backendName:"webgpu",kernelFunc:Que},tde=class{constructor(e,t){this.variableNames=["x"],this.uniforms="onValue : f32, offValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="onehot"}getUserCode(){return` - ${ke("index")} { + `}},g0e={kernelName:ro,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{x:n}=e,{paddings:r,mode:s}=t,i=a,o=r.map(u=>({type:"int32",data:[u[0],u[1]]})),l=new m0e(n.shape,r,s);return i.runWebGPUProgram(l,[n],n.dtype,o)}},y0e=ta({opType:_e.MOD}),x0e={kernelName:fu,backendName:"webgpu",kernelFunc:y0e},A0e=class{constructor(e,t){this.variableNames=["probs"],this.outputShape=[],this.uniforms="seed : f32, numOutcomes: i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="multinomial"}getUserCode(){return` + //Based on the work of Dave Hoskins + //https://www.shadertoy.com/view/4djSRW + fn random (seed : f32, resultUV : vec2) -> f32 { + let HASHSCALE1 = 443.8975; + let p = resultUV * seed; + var p3 = fract(vec3(p.xyx) * HASHSCALE1); + p3 = p3 + dot(p3, p3.yzx + 19.19); + return fract((p3.x + p3.y) * p3.z); + } + + ${de("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords[0]; + + let resUV = vec2(f32(coords[1]) / f32(uniforms.outShape[1]), + f32(coords[0]) / f32(uniforms.outShape[0])); + let r = random(uniforms.seed, resUV); + var cdf = 0.0; + for (var i = 0; i < uniforms.numOutcomes - 1; i = i + 1) { + cdf = cdf + getProbs(batch, i); + + if (r < cdf) { + setOutputAtIndexI32(index, i); + return; + } + } + + // If no other event happened, last event happened. + setOutputAtIndexI32(index, uniforms.numOutcomes - 1); + } + } + `}},b0e=class{constructor(e){this.variableNames=["logits"],this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=[this.outputShape[0],1,1],this.outputShape[1]>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.shaderKey="softmax"}getUserCode(){return` + var buf : array; + var rowMaxShared : f32; + var rowSumShared : f32; + const blockSize = ${this.workgroupSize[0]}; + ${de("index")} { + let row = index / blockSize; + let tid = i32(localId.x); + let cols = uniforms.outShape[1]; + + var threadMax = -3.402823e+38f; + for (var col = tid; col < cols; col += blockSize) { + let value = getLogits(row, col); + threadMax = max(threadMax, value); + } + if (tid < cols) { + buf[tid] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, blockSize); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (tid < currSize) { + buf[tid] = max(buf[tid], buf[tid + reduceSize]); + } + workgroupBarrier(); + } + + if (tid == 0) { + rowMaxShared = buf[0]; + } + workgroupBarrier(); + + var threadSum = 0.0; + for (var col = tid; col < cols; col += blockSize) { + let subExp = exp(getLogits(row, col) - rowMaxShared); + threadSum += subExp; + } + buf[tid] = threadSum; + workgroupBarrier(); + + for (var currSize = blockSize >> 1; currSize > 0; currSize = currSize >> 1) { + if (tid < currSize) { + buf[tid] = buf[tid] + buf[tid + currSize]; + } + workgroupBarrier(); + } + + if (tid == 0) { + rowSumShared = buf[0]; + } + workgroupBarrier(); + + for (var col = tid; col < cols; col += blockSize) { + let value = exp(getLogits(row, col) - rowMaxShared) / rowSumShared; + setOutputAtCoords(row, col, value); + } + } + `}};function fk(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{dim:s}=n,i=we({inputs:{x:r},backend:a,attrs:{shape:[v.sizeFromShape(r.shape)/r.shape[s],r.shape[s]]}}),o=new b0e(i.shape),l=a.runWebGPUProgram(o,[i],r.dtype),u=we({inputs:{x:l},backend:a,attrs:{shape:r.shape}});return a.disposeData(i.dataId),a.disposeData(l.dataId),u}var v0e={kernelName:$o,backendName:"webgpu",kernelFunc:fk};function w0e(e){let{inputs:t,backend:a,attrs:n}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=n,l=o?r:fk({inputs:{logits:r},backend:a,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],c=new A0e(u,s),d=[{type:"float32",data:[i]},{type:"int32",data:[p]}],h=a.runWebGPUProgram(c,[l],"int32",d);return o||a.disposeData(l.dataId),h}var k0e={kernelName:so,backendName:"webgpu",kernelFunc:w0e};function I0e(e){let{inputs:t,backend:a}=e,{x:n}=t;if(a.shouldExecuteOnCPU([n])){let s=a.tensorMap.get(n.dataId),[i,o]=Due(s.values,n.shape,n.dtype);return a.makeTensorInfo(o,n.dtype,i)}let r=new Hu(n.shape,le.NEG);return a.runWebGPUProgram(r,[n],n.dtype)}var S0e={kernelName:mu,backendName:"webgpu",kernelFunc:I0e};function C0e(e){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=n,u=a.readSync(r.dataId),p=a.readSync(s.dataId),{selectedIndices:c}=Nn.nonMaxSuppressionV3Impl(u,p,i,o,l);return a.makeTensorInfo([c.length],"int32",new Int32Array(c))}var T0e={kernelName:lo,backendName:"webgpu",kernelFunc:C0e};function N0e(e){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:a,attrs:n}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=n,p=a.readSync(r.dataId),c=a.readSync(s.dataId),d=i,h=o,f=l,m=u,{selectedIndices:g,selectedScores:y}=Nn.nonMaxSuppressionV5Impl(p,c,d,h,f,m);return[a.makeTensorInfo([g.length],"int32",new Int32Array(g)),a.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var R0e={kernelName:uo,backendName:"webgpu",kernelFunc:N0e},E0e=class{constructor(e,t){this.variableNames=["x"],this.uniforms="onValue : f32, offValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="onehot"}getUserCode(){return` + ${de("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, mix(uniforms.offValue, uniforms.onValue, f32(i32(round(getX(coords.x))) == coords.y))); } } - `}};function ade(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=v.sizeFromShape(r.shape),p=new tde(u,i),c=Ie({inputs:{x:r},backend:a,attrs:{shape:[u]}}),d=[{type:"float32",data:[o]},{type:"float32",data:[l]}],h=a.runWebGPUProgram(p,[c],s,d);a.disposeData(c.dataId);let f=[...r.shape,i],m=Ie({inputs:{x:h},backend:a,attrs:{shape:f}});return a.disposeData(h.dataId),m}var nde={kernelName:Ui,backendName:"webgpu",kernelFunc:ade};function Gc(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="complex64"){let r=yp({inputs:{input:n},backend:a}),s=Gc({inputs:{x:r},backend:a}),i=Wh({inputs:{input:n},backend:a}),o=Gc({inputs:{x:i},backend:a}),l=wo({inputs:{real:s,imag:o},backend:a});return a.disposeData(r.dataId),a.disposeData(s.dataId),a.disposeData(i.dataId),a.disposeData(o.dataId),l}else return Nr({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:a})}var rde={kernelName:nu,backendName:"webgpu",kernelFunc:Gc};function j8(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let r=yp({inputs:{input:n},backend:a}),s=j8({inputs:{x:r},backend:a}),i=Wh({inputs:{input:n},backend:a}),o=Gc({inputs:{x:i},backend:a}),l=wo({inputs:{real:s,imag:o},backend:a});return a.disposeData(r.dataId),a.disposeData(s.dataId),a.disposeData(i.dataId),a.disposeData(o.dataId),l}else return Nr({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:a})}var sde={kernelName:Vl,backendName:"webgpu",kernelFunc:j8};function ide(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return P2({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=P2({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=O8({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeData(p.dataId)),u}var ode={kernelName:Ul,backendName:"webgpu",kernelFunc:ide},lde=class{constructor(e,t){this.variableNames=["x"],this.uniforms="constantValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((a,n)=>a[0]+e[n]+a[1]),this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((a,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey="pad"}getUserCode(){let e=this.xShape.length,t=la(e),a=this.xShape.map((u,p)=>`uniforms.pad${p}[0]`).join(","),n=this.xShape.map((u,p)=>`uniforms.pad${p}[0] + uniforms.xShape${e>1?`[${p}]`:""}`).join(","),r=e>1?`${t}(${a})`:`${a}`,s=e>1?`${t}(${n})`:`${n}`,i=e>1?"any(outC < start)":"outC < start",o=e>1?"any(outC >= end)":"outC >= end",l=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` - ${ke("index")} { + `}};function M0e(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=n,u=v.sizeFromShape(r.shape),p=new E0e(u,i),c=we({inputs:{x:r},backend:a,attrs:{shape:[u]}}),d=[{type:"float32",data:[o]},{type:"float32",data:[l]}],h=a.runWebGPUProgram(p,[c],s,d);a.disposeData(c.dataId);let f=[...r.shape,i],m=we({inputs:{x:h},backend:a,attrs:{shape:f}});return a.disposeData(h.dataId),m}var F0e={kernelName:po,backendName:"webgpu",kernelFunc:M0e};function bh(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="complex64"){let r=jp({inputs:{input:n},backend:a}),s=bh({inputs:{x:r},backend:a}),i=l0({inputs:{input:n},backend:a}),o=bh({inputs:{x:i},backend:a}),l=Zo({inputs:{real:s,imag:o},backend:a});return a.disposeData(r.dataId),a.disposeData(s.dataId),a.disposeData(i.dataId),a.disposeData(o.dataId),l}else return Mn({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:a})}var _0e={kernelName:Mu,backendName:"webgpu",kernelFunc:bh};function mk(e){let{inputs:t,backend:a}=e,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let r=jp({inputs:{input:n},backend:a}),s=mk({inputs:{x:r},backend:a}),i=l0({inputs:{input:n},backend:a}),o=bh({inputs:{x:i},backend:a}),l=Zo({inputs:{real:s,imag:o},backend:a});return a.disposeData(r.dataId),a.disposeData(s.dataId),a.disposeData(i.dataId),a.disposeData(o.dataId),l}else return Mn({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:a})}var $0e={kernelName:yu,backendName:"webgpu",kernelFunc:mk};function D0e(e){let{inputs:t,backend:a,attrs:n}=e,{axis:r}=n;if(t.length===1)return P1({inputs:{input:t[0]},backend:a,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let c=P1({inputs:{input:p},backend:a,attrs:{dim:r}});return o.push(c),c}),u=rk({inputs:l,backend:a,attrs:{axis:r}});return o.forEach(p=>a.disposeData(p.dataId)),u}var P0e={kernelName:xu,backendName:"webgpu",kernelFunc:D0e},O0e=class{constructor(e,t){this.variableNames=["x"],this.uniforms="constantValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((a,n)=>a[0]+e[n]+a[1]),this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((a,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey="pad"}getUserCode(){let e=this.xShape.length,t=Jt(e),a=this.xShape.map((u,p)=>`uniforms.pad${p}[0]`).join(","),n=this.xShape.map((u,p)=>`uniforms.pad${p}[0] + uniforms.xShape${e>1?`[${p}]`:""}`).join(","),r=e>1?`${t}(${a})`:`${a}`,s=e>1?`${t}(${n})`:`${n}`,i=e>1?"any(outC < start)":"outC < start",o=e>1?"any(outC >= end)":"outC >= end",l=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` + ${de("index")} { if (index < uniforms.size) { let start = ${r}; let end = ${s}; @@ -7006,8 +7873,8 @@ return a / b;`,jK=` } } } - `}},q8=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;if(s.every(u=>v.arraysEqual(u,[0,0])))return en({inputs:{x:r},backend:a});if(v.sizeFromShape(r.shape)===0){let u=s.map((p,c)=>p[0]+r.shape[c]+p[1]);return Nr({backend:a,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=[{type:"float32",data:[i]}];s.map(u=>o.push({type:"int32",data:[u[0],u[1]]}));let l=new lde(r.shape,s);return a.runWebGPUProgram(l,[r],r.dtype,o)},ude={kernelName:Gi,backendName:"webgpu",kernelFunc:q8},dde=Jt({opType:Pe.POW}),pde={kernelName:Hi,backendName:"webgpu",kernelFunc:dde};function cde(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=new M2(Pe.PRELU,n.shape,r.shape);return a.runWebGPUProgram(s,[n,r],"float32")}var hde={kernelName:ji,backendName:"webgpu",kernelFunc:cde};function fde(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Io(r,s,i,"prod",a)}var mde={kernelName:qi,backendName:"webgpu",kernelFunc:fde},gde=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=lie(n,r,s,i);return t.makeTensorInfo([o.length],i,o)},yde={kernelName:Gl,backendName:"webgpu",kernelFunc:gde},X8=Jt({opType:Pe.DIV}),xde={kernelName:ci,backendName:"webgpu",kernelFunc:X8},Ade=et({opType:le.RECIPROCAL}),bde={kernelName:Xi,backendName:"webgpu",kernelFunc:Ade},vde=et({opType:le.RELU}),kde={kernelName:Ki,backendName:"webgpu",kernelFunc:vde},wde=et({opType:le.RELU6}),Ide={kernelName:Ji,backendName:"webgpu",kernelFunc:wde},Sde=class{constructor(e,t,a){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, halfPixelCenters : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,a,e[3]],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="resizeBilinear"}getUserCode(){return` - ${ke("index")} { + `}},gk=e=>{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{paddings:s,constantValue:i}=n;if(s.every(u=>v.arraysEqual(u,[0,0])))return tn({inputs:{x:r},backend:a});if(v.sizeFromShape(r.shape)===0){let u=s.map((p,c)=>p[0]+r.shape[c]+p[1]);return Mn({backend:a,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=[{type:"float32",data:[i]}];s.map(u=>o.push({type:"int32",data:[u[0],u[1]]}));let l=new O0e(r.shape,s);return a.runWebGPUProgram(l,[r],r.dtype,o)},z0e={kernelName:co,backendName:"webgpu",kernelFunc:gk},L0e=ta({opType:_e.POW}),W0e={kernelName:ho,backendName:"webgpu",kernelFunc:L0e};function B0e(e){let{inputs:t,backend:a}=e,{x:n,alpha:r}=t,s=new xh(_e.PRELU,n.shape,r.shape);return a.runWebGPUProgram(s,[n,r],"float32")}var V0e={kernelName:fo,backendName:"webgpu",kernelFunc:B0e};function U0e(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{axis:s,keepDims:i}=n;return Jo(r,s,i,"prod",a)}var G0e={kernelName:mo,backendName:"webgpu",kernelFunc:U0e},H0e=e=>{let{backend:t,attrs:a}=e,{start:n,stop:r,step:s,dtype:i}=a,o=zue(n,r,s,i);return t.makeTensorInfo([o.length],i,o)},j0e={kernelName:Au,backendName:"webgpu",kernelFunc:H0e},q0e=ta({opType:_e.DIV}),X0e={kernelName:Ci,backendName:"webgpu",kernelFunc:q0e},K0e=tt({opType:le.RECIPROCAL}),Y0e={kernelName:go,backendName:"webgpu",kernelFunc:K0e},Z0e=tt({opType:le.RELU}),J0e={kernelName:yo,backendName:"webgpu",kernelFunc:Z0e},Q0e=tt({opType:le.RELU6}),efe={kernelName:bo,backendName:"webgpu",kernelFunc:Q0e},tfe=class{constructor(e,t,a){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, halfPixelCenters : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,a,e[3]],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="resizeBilinear"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -7049,8 +7916,83 @@ return a / b;`,jK=` setOutputAtIndex(index, newValue); } } - `}};function Tde(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,size:i,halfPixelCenters:o}=n,[l,u]=i,p=s&&l>1?1:0,c=s&&u>1?1:0,d=[{type:"float32",data:[p,c]},{type:"float32",data:[o?.5:0]}],h=new Sde(r.shape,l,u);return a.runWebGPUProgram(h,[r],"float32",d)}var Cde={kernelName:Yi,backendName:"webgpu",kernelFunc:Tde},Nde=class{constructor(e,t,a,n){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, roundBase : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,a,e[3]],this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e="max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":e="vec2(rc) * effectiveInputOverOutputRatioRC",` - ${ke("index")} { + `}};function afe(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,size:i,halfPixelCenters:o}=n,[l,u]=i,p=s&&l>1?1:0,c=s&&u>1?1:0,d=[{type:"float32",data:[p,c]},{type:"float32",data:[o?.5:0]}],h=new tfe(r.shape,l,u);return a.runWebGPUProgram(h,[r],"float32",d)}var nfe={kernelName:Ao,backendName:"webgpu",kernelFunc:afe},rfe=class{constructor(e,t){this.variableNames=["dy"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, heightScale : f32, widthScale : f32, + invHeightScale : f32, invWidthScale : f32, winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeBilinearBackprop_${t}`}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(startRLerp - f32(uniforms.winHeight / 2)); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(startCLerp - f32(uniforms.winWidth / 2)); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let dxR = f32(dyR) * uniforms.heightScale; + let topDxRIndex = i32(floor(dxR)); + let bottomDxRIndex = i32(min(ceil(dxR), f32(uniforms.outShape[1] - 1))); + let dxRLerp = dxR - f32(topDxRIndex); + let inverseDxRLerp = 1.0 - dxRLerp; + + let dxC = f32(dyC) * uniforms.widthScale; + let leftDxCIndex = i32(floor(dxC)); + let rightDxCIndex = i32(min(ceil(dxC), f32(uniforms.outShape[2] - 1))); + let dxCLerp = dxC - f32(leftDxCIndex); + let inverseDxCLerp = 1.0 - dxCLerp; + + if (r == topDxRIndex && c == leftDxCIndex) { + // topLeft + accumulator += + getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp; + } + + if (r == topDxRIndex && c == rightDxCIndex) { + // topRight + accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp; + } + + if (r == bottomDxRIndex && c == leftDxCIndex) { + // bottomLeft + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp; + } + + if (r == bottomDxRIndex && c == rightDxCIndex) { + // bottomRight + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp; + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `}};function sfe(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,[,o,l]=r.shape,[,u,p]=s.shape,c=[i&&u>1?o-1:o,i&&p>1?l-1:l],d=[i&&u>1?u-1:u,i&&p>1?p-1:p],h=c[0]/d[0],f=c[1]/d[1],m=1/h,g=1/f,y=Math.ceil(m)*2+2,x=Math.ceil(g)*2+2,A=new rfe(r.shape,i),b=[{type:"int32",data:c},{type:"int32",data:d},{type:"float32",data:[h]},{type:"float32",data:[f]},{type:"float32",data:[m]},{type:"float32",data:[g]},{type:"int32",data:[y]},{type:"int32",data:[x]}];return a.runWebGPUProgram(A,[s],s.dtype,b)}var ife={kernelName:wu,backendName:"webgpu",kernelFunc:sfe},ofe=class{constructor(e,t,a,n){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, roundBase : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,a,e[3]],this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e="max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":e="vec2(rc) * effectiveInputOverOutputRatioRC",` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -7080,7 +8022,67 @@ return a / b;`,jK=` setOutputAtIndex(index, newValue); } } - `}};function Ede(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=s&&l>1?1:0,c=s&&u>1?1:0,d=[{type:"float32",data:[p,c]},{type:"float32",data:[s?.5:0]}],h=new Nde(r.shape,l,u,i);return a.runWebGPUProgram(h,[r],r.dtype,d)}var Rde={kernelName:Zi,backendName:"webgpu",kernelFunc:Ede},Mde=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=" axis : vec4,",this.shaderKey="reverse"}getUserCode(){return` + `}};function lfe(e){let{inputs:t,backend:a,attrs:n}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=n,[l,u]=o,p=s&&l>1?1:0,c=s&&u>1?1:0,d=[{type:"float32",data:[p,c]},{type:"float32",data:[s?.5:0]}],h=new ofe(r.shape,l,u,i);return a.runWebGPUProgram(h,[r],r.dtype,d)}var ufe={kernelName:xo,backendName:"webgpu",kernelFunc:lfe},dfe=class{constructor(e,t){this.variableNames=["dy"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, invHeightScale : f32, invWidthScale : f32, + winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeNearestNeigborBackprop_${t}`}getUserCode(){return` + ${de("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(floor(startRLerp - f32(uniforms.winHeight / 2))); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(floor(startCLerp - f32(uniforms.winWidth / 2))); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let sourceFracRow = f32(uniforms.effectiveXSize[0]) * + (f32(dyR) / f32(uniforms.effectiveYSize[0])); + + let sourceFracCol = f32(uniforms.effectiveXSize[1]) * + (f32(dyC) / f32(uniforms.effectiveYSize[1])); + + let sourceNearestRow = + i32(min(f32(uniforms.outShape[1] - 1), + ${this.alignCorners?"floor(sourceFracRow + 0.5)":"floor(sourceFracRow)"})); + + let sourceNearestCol = + i32(min(f32(uniforms.outShape[2] - 1), + ${this.alignCorners?"floor(sourceFracCol + 0.5)":"floor(sourceFracCol)"})); + + if (r == sourceNearestRow && c == sourceNearestCol) { + accumulator += getDy(b, dyR, dyC, d); + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `}};function pfe(e){let{inputs:t,backend:a,attrs:n}=e,{images:r,dy:s}=t,{alignCorners:i}=n,[,o,l]=r.shape,[,u,p]=s.shape,c=[i&&u>1?o-1:o,i&&p>1?l-1:l],d=[i&&u>1?u-1:u,i&&p>1?p-1:p],h=c[0]/d[0],f=c[1]/d[1],m=1/h,g=1/f,y=Math.ceil(m)*2+2,x=Math.ceil(g)*2+2,A=new dfe(r.shape,i),b=[{type:"int32",data:c},{type:"int32",data:d},{type:"float32",data:[m]},{type:"float32",data:[g]},{type:"int32",data:[y]},{type:"int32",data:[x]}];return a.runWebGPUProgram(A,[s],s.dtype,b)}var cfe={kernelName:vu,backendName:"webgpu",kernelFunc:pfe},hfe=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=" axis : vec4,",this.shaderKey="reverse"}getUserCode(){return` // Using uniform variables as judging conditions, so the function has // coherent execution within all threads. @@ -7102,7 +8104,7 @@ return a / b;`,jK=` return reverseCoords; } - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let reverseCoords = getReverseCoords(coords); @@ -7110,9 +8112,9 @@ return a / b;`,jK=` reverseCoords[1], reverseCoords[2], reverseCoords[3])); } } - `}};function $de(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=r.shape.length;if(i===0)return en({inputs:{x:r},backend:a});let o=r.shape,l=[1,1,1,1];o.forEach((g,y)=>{let x=y+4-i;l[x]=g});let u=v.parseAxisParam(s,r.shape),p=[0,0,0,0];u.forEach(g=>{let y=g+4-i;p[y]=1});let c=[{type:"int32",data:p}],d=Ie({inputs:{x:r},backend:a,attrs:{shape:l}}),h=new Mde(l),f=a.runWebGPUProgram(h,[d],d.dtype,c);a.disposeData(d.dataId);let m=Ie({inputs:{x:f},backend:a,attrs:{shape:o}});return a.disposeData(f.dataId),m}var _de={kernelName:Qi,backendName:"webgpu",kernelFunc:$de},Pde=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32, + `}};function ffe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{dims:s}=n,i=r.shape.length;if(i===0)return tn({inputs:{x:r},backend:a});let o=r.shape,l=[1,1,1,1];o.forEach((g,y)=>{let x=y+4-i;l[x]=g});let u=v.parseAxisParam(s,r.shape),p=[0,0,0,0];u.forEach(g=>{let y=g+4-i;p[y]=1});let c=[{type:"int32",data:p}],d=we({inputs:{x:r},backend:a,attrs:{shape:l}}),h=new hfe(l),f=a.runWebGPUProgram(h,[d],d.dtype,c);a.disposeData(d.dataId);let m=we({inputs:{x:f},backend:a,attrs:{shape:o}});return a.disposeData(f.dataId),m}var mfe={kernelName:vo,backendName:"webgpu",kernelFunc:ffe},gfe=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32, cosRadians : f32,`,this.shaderKey="rotate",this.outputShape=e,typeof t=="number"?(this.uniforms+=" fillValue : f32,",this.fillSnippet="var outputValue = uniforms.fillValue;",this.shaderKey+="_float"):(this.uniforms+=" fillValue : vec3,",this.fillSnippet="var outputValue = uniforms.fillValue[coords[3]];",this.shaderKey+="_vec3")}getUserCode(){return` - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordXFloat = (f32(coords[2]) - uniforms.centerX) * @@ -7131,7 +8133,7 @@ return a / b;`,jK=` setOutputAtIndex(index, outputValue); } } - `}},Fde={kernelName:go,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=new Pde(n.shape,s),[u,p]=T.getImageCenter(i,n.shape[1],n.shape[2]),c=[{type:"float32",data:[u]},{type:"float32",data:[p]},{type:"float32",data:[Math.sin(r)]},{type:"float32",data:[Math.cos(r)]}];return typeof s=="number"?c.push({type:"float32",data:[Number.parseFloat(s.toFixed(2))]}):c.push({type:"float32",data:s}),o.runWebGPUProgram(l,[n],n.dtype,c)}},Ode=et({opType:le.ROUND}),Dde={kernelName:eo,backendName:"webgpu",kernelFunc:Ode},zde=et({opType:le.RSQRT,cpuKernelImpl:uie}),Lde={kernelName:to,backendName:"webgpu",kernelFunc:zde},Ic=class{constructor(e,t,a,n,r,s,i,o=!0){this.variableNames=["updates","indices"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=s,this.type=i,this.sumDupeIndices=o,this.dispatchLayout=$e(e),this.dispatch=we(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${a}_${n}_${this.sliceDimGreaterThanOne}_${i}_${o}`;let l=la(r.length);this.uniforms=`sliceDim : i32, strides: ${l}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=a}getUserCode(){let e="";this.indicesRank===1?e="coords[0]":this.indicesRank===2&&(e="coords[0], j");let t=`getIndices(${e})`,a=this.sliceDimGreaterThanOne?"uniforms.strides[j]":"uniforms.strides",n="",r="";this.dispatchLayout.x.length===1?(n="flattenedIndex",r=` + `}},yfe={kernelName:Uo,backendName:"webgpu",kernelFunc:({inputs:e,attrs:t,backend:a})=>{let{image:n}=e,{radians:r,fillValue:s,center:i}=t,o=a,l=new gfe(n.shape,s),[u,p]=S.getImageCenter(i,n.shape[1],n.shape[2]),c=[{type:"float32",data:[u]},{type:"float32",data:[p]},{type:"float32",data:[Math.sin(r)]},{type:"float32",data:[Math.cos(r)]}];return typeof s=="number"?c.push({type:"float32",data:[Number.parseFloat(s.toFixed(2))]}):c.push({type:"float32",data:s}),o.runWebGPUProgram(l,[n],n.dtype,c)}},xfe=tt({opType:le.ROUND}),Afe={kernelName:wo,backendName:"webgpu",kernelFunc:xfe},bfe=tt({opType:le.RSQRT,cpuKernelImpl:Lue}),vfe={kernelName:ko,backendName:"webgpu",kernelFunc:bfe},Nd=class{constructor(e,t,a,n,r,s,i,o=!0){this.variableNames=["updates","indices"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=s,this.type=i,this.sumDupeIndices=o,this.dispatchLayout=be(e),this.dispatch=ce(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${a}_${n}_${this.sliceDimGreaterThanOne}_${i}_${o}`;let l=Jt(r.length);this.uniforms=`sliceDim : i32, strides: ${l}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=a}getUserCode(){let e="";this.indicesRank===1?e="coords[0]":this.indicesRank===2&&(e="coords[0], j");let t=`getIndices(${e})`,a=this.sliceDimGreaterThanOne?"uniforms.strides[j]":"uniforms.strides",n="",r="";this.dispatchLayout.x.length===1?(n="flattenedIndex",r=` fn getUpdatesCoordsFromFlatIndex(index : i32) -> i32 { return index; } @@ -7148,7 +8150,7 @@ return a / b;`,jK=` } `);let s=`getUpdates(${Array.from({length:this.updatesRank},(i,o)=>`coords[${o}]`).join(", ")})`;return` ${r} - ${ke("index")} { + ${de("index")} { if (index < uniforms.updatesSize) { let coords = getUpdatesCoordsFromFlatIndex(index); var flattenedIndex = 0; @@ -7157,12 +8159,12 @@ return a / b;`,jK=` flattenedIndex = flattenedIndex + indexInside * ${a}; } let updateValue = - ${td(this.type,!1)}(${s}); + ${Nl(this.type)}(${s}); let flatIndex = getOutputIndexFromCoords(${n}); - ${this.sumDupeIndices?O3("&result[flatIndex]","updateValue",this.type):"atomicStore(&result[flatIndex], bitcast(updateValue));"} + ${this.sumDupeIndices?Gu("&result[flatIndex]","updateValue",this.type):"atomicStore(&result[flatIndex], bitcast(updateValue));"} } - }`}};function Bde(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=T.calculateShapes(s,r,i),d=[c/u,u];if(c===0)return a.makeTensorInfo(i,r.dtype);let h=Ie({inputs:{x:r},backend:a,attrs:{shape:[l,o]}}),f=Ie({inputs:{x:s},backend:a,attrs:{shape:[l,u]}}),m=f.dtype,g=Nr({backend:a,attrs:{shape:d,value:0,dtype:m}}),y=v.sizeFromShape(f.shape),x=[{type:"int32",data:[o]},{type:"int32",data:p},{type:"int32",data:[y]}],A=new Ic(f.shape,o,h.shape.length,f.shape.length,p,d,m),b=a.runWebGPUProgram(A,[f,h],m,x,g),k=Ie({inputs:{x:b},backend:a,attrs:{shape:i}});return a.disposeData(h.dataId),a.disposeData(f.dataId),a.disposeData(b.dataId),k}var Wde={kernelName:ao,backendName:"webgpu",kernelFunc:Bde},Vde=class{constructor(e,t){this.outputShape=[],this.variableNames=["sortedSequence","values"],this.uniforms="numInputs : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return` + }`}};function wfe(e){let{inputs:t,backend:a,attrs:n}=e,{indices:r,updates:s}=t,{shape:i}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=S.calculateShapes(s,r,i),d=[c/u,u];if(c===0)return a.makeTensorInfo(i,r.dtype);let h=we({inputs:{x:r},backend:a,attrs:{shape:[l,o]}}),f=we({inputs:{x:s},backend:a,attrs:{shape:[l,u]}}),m=f.dtype,g=Mn({backend:a,attrs:{shape:d,value:0,dtype:m}}),y=v.sizeFromShape(f.shape),x=[{type:"int32",data:[o]},{type:"int32",data:p},{type:"int32",data:[y]}],A=new Nd(f.shape,o,h.shape.length,f.shape.length,p,d,m),b=a.runWebGPUProgram(A,[f,h],m,x,g),w=we({inputs:{x:b},backend:a,attrs:{shape:i}});return a.disposeData(h.dataId),a.disposeData(f.dataId),a.disposeData(b.dataId),w}var kfe={kernelName:Io,backendName:"webgpu",kernelFunc:wfe},Ife=class{constructor(e,t){this.outputShape=[],this.variableNames=["sortedSequence","values"],this.uniforms="numInputs : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return` fn findBound(batch: i32, value: f32) -> i32 { var left = i32(0); var right = uniforms.numInputs; @@ -7177,15 +8179,15 @@ return a / b;`,jK=` return right; } - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let value = getValuesByOutputIndex(index); setOutputAtIndexI32(index, findBound(coords[0], value)); } } - `}};function Ude(e){let{inputs:t,backend:a,attrs:n}=e,{sortedSequence:r,values:s}=t,{side:i}=n,o=new Vde([s.shape[0],s.shape[1]],i),l=[{type:"int32",data:[r.shape[1]]}];return a.runWebGPUProgram(o,[r,s],"int32",l)}var Gde={kernelName:zd,backendName:"webgpu",kernelFunc:Ude},Hde=class{constructor(e,t,a){this.variableNames=["c","a","b"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.cRank=e,this.rank=a,this.shaderKey="select"}getUserCode(){let e,t;if(this.rank>4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t="resRC",e="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[],r=[];for(let s=0;s4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t="resRC",e="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[],r=[];for(let s=0;s{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=[[0,0]];l.push(...i);for(let y=1+s.length;ya.disposeData(y.dataId)),g},dpe={kernelName:Jl,backendName:"webgpu",kernelFunc:upe},ppe=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[64,1,1],this.size=!0;let a=new Array(e.length);for(let n=0;n{let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{blockShape:s,paddings:i}=n;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=[[0,0]];l.push(...i);for(let y=1+s.length;ya.disposeData(y.dataId)),g},Ufe={kernelName:Cu,backendName:"webgpu",kernelFunc:Vfe},Gfe=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[64,1,1],this.size=!0;let a=new Array(e.length);for(let n=0;n=5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`(resRC % ${t}aShape)`;let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let r=0;r=5){let o=a.readSync(r.dataId),l=r.dtype==="string"?o.map(c=>v.decodeString(c)):o,u=_e(r.shape,r.dtype,l),p=gie(u,s);return a.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new ppe(r.shape,s);return a.runWebGPUProgram(i,[r],r.dtype)}var hpe={kernelName:ns,backendName:"webgpu",kernelFunc:Z8};function fpe(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=T.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let N=a.bufferSync(r),$=a.bufferSync(s),M=v.decodeString(a.readSync(i.dataId)[0]),R=die(N,$,o,d,p,u,l,c,M,h);return a.makeTensorInfo(o,R.dtype,R.values)}let f=[d/p,p],m=Ie({inputs:{x:r},backend:a,attrs:{shape:[u,l]}}),g=s.shape.length?Ie({inputs:{x:s},backend:a,attrs:{shape:[u,p]}}):en({inputs:{x:s},backend:a}),y=g.dtype,x=a.makeTensorInfo([],y,v.makeZerosTypedArray(1,y)),A=Ie({inputs:{x:i},backend:a,attrs:{shape:Array(f.length).fill(1)}}),b=Z8({inputs:{x:A},backend:a,attrs:{reps:f}}),k=v.sizeFromShape([u,p]),S=[{type:"int32",data:[l]},{type:"int32",data:c},{type:"int32",data:[k]}];switch(u){case 0:break;case 1:{let N=new Ic([u,p],l,m.shape.length,g.shape.length,c,f,y,h);a.runWebGPUProgram(N,[g,m],y,S,b)}break;default:{let N=new Ic([u,p],l,m.shape.length,x.shape.length,c,f,y,h);a.runWebGPUProgram(N,[x,m],y,S,b)}{let N=new Ic([u,p],l,m.shape.length,g.shape.length,c,f,y);a.runWebGPUProgram(N,[g,m],y,S,b)}}let C=Ie({inputs:{x:b},backend:a,attrs:{shape:o}});return a.disposeData(m.dataId),a.disposeData(g.dataId),a.disposeData(A.dataId),a.disposeData(x.dataId),a.disposeData(b.dataId),C}var mpe={kernelName:Vd,backendName:"webgpu",kernelFunc:fpe};function gpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),c=r.shape.slice();return l.map(d=>{let h=[...c];h[o]=d;let f=Au({inputs:{x:r},backend:a,attrs:{begin:p,size:h}});return p[o]+=d,f})}var ype={kernelName:Ql,backendName:"webgpu",kernelFunc:gpe},xpe=et({opType:le.SQRT}),Ape={kernelName:so,backendName:"webgpu",kernelFunc:xpe},bpe={kernelName:Ud,backendName:"webgpu",kernelFunc:({inputs:e,backend:t})=>{let{x:a}=e,n=t,r=new xu(a.shape,le.SQUARE);return n.runWebGPUProgram(r,[a],a.dtype)}},vpe=Jt({opType:Pe.SQUARED_DIFFERENCE}),kpe={kernelName:lo,backendName:"webgpu",kernelFunc:vpe};function wpe({inputs:e,attrs:t,backend:a}){let{x:n}=e,r=new xu(n.shape,le.STEP,"stepAlpha : f32,"),s=[{type:"float32",data:[t.alpha]}];return a.runWebGPUProgram(r,[n],n.dtype,s)}var Ipe={kernelName:rs,backendName:"webgpu",kernelFunc:wpe},Spe=class{constructor(e){this.variableNames=["x"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=la(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey="stridedSlice"}getUserCode(){let e=this.outputShape.length,t="";if(e===1)t="coords * uniforms.strides + uniforms.begin";else{let a=0;t=this.outputShape.map((n,r)=>(a++,this.outputShape.length===1?`coords * uniforms.strides[${r}] + uniforms.begin[${r}]`:`coords[${a-1}] * uniforms.strides[${r}] + uniforms.begin[${r}]`)).join(",")}return` - ${ke("index")} { + `}};function Hfe(e,t=""){if(e>=5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`(resRC % ${t}aShape)`;let a=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let r=0;r=5){let o=a.readSync(r.dataId),l=r.dtype==="string"?o.map(c=>v.decodeString(c)):o,u=$e(r.shape,r.dtype,l),p=jue(u,s);return a.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new Gfe(r.shape,s);return a.runWebGPUProgram(i,[r],r.dtype)}var jfe={kernelName:ss,backendName:"webgpu",kernelFunc:Pg};function qfe(e){let{inputs:t,backend:a,attrs:n}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=n,{sliceRank:l,numUpdates:u,sliceSize:p,strides:c,outputSize:d}=S.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let N=a.bufferSync(r),M=a.bufferSync(s),F=v.decodeString(a.readSync(i.dataId)[0]),E=Wue(N,M,o,d,p,u,l,c,F,h);return a.makeTensorInfo(o,E.dtype,E.values)}let f=[d/p,p],m=we({inputs:{x:r},backend:a,attrs:{shape:[u,l]}}),g=s.shape.length?we({inputs:{x:s},backend:a,attrs:{shape:[u,p]}}):tn({inputs:{x:s},backend:a}),y=g.dtype,x=a.makeTensorInfo([],y,v.makeZerosTypedArray(1,y)),A=we({inputs:{x:i},backend:a,attrs:{shape:Array(f.length).fill(1)}}),b=Pg({inputs:{x:A},backend:a,attrs:{reps:f}}),w=v.sizeFromShape([u,p]),C=[{type:"int32",data:[l]},{type:"int32",data:c},{type:"int32",data:[w]}];switch(u){case 0:break;case 1:{let N=new Nd([u,p],l,m.shape.length,g.shape.length,c,f,y,h);a.runWebGPUProgram(N,[g,m],y,C,b)}break;default:{let N=new Nd([u,p],l,m.shape.length,x.shape.length,c,f,y,h);a.runWebGPUProgram(N,[x,m],y,C,b)}{let N=new Nd([u,p],l,m.shape.length,g.shape.length,c,f,y);a.runWebGPUProgram(N,[g,m],y,C,b)}}let T=we({inputs:{x:b},backend:a,attrs:{shape:o}});return a.disposeData(m.dataId),a.disposeData(g.dataId),a.disposeData(A.dataId),a.disposeData(x.dataId),a.disposeData(b.dataId),T}var Xfe={kernelName:Do,backendName:"webgpu",kernelFunc:qfe};function Kfe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=S.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),c=r.shape.slice();return l.map(d=>{let h=[...c];h[o]=d;let f=ju({inputs:{x:r},backend:a,attrs:{begin:p,size:h}});return p[o]+=d,f})}var Yfe={kernelName:Tu,backendName:"webgpu",kernelFunc:Kfe},Zfe=tt({opType:le.SQRT}),Jfe={kernelName:Fo,backendName:"webgpu",kernelFunc:Zfe},Qfe={kernelName:gp,backendName:"webgpu",kernelFunc:({inputs:e,backend:t})=>{let{x:a}=e,n=t,r=new Hu(a.shape,le.SQUARE);return n.runWebGPUProgram(r,[a],a.dtype)}},eme=ta({opType:_e.SQUARED_DIFFERENCE}),tme={kernelName:Po,backendName:"webgpu",kernelFunc:eme};function ame({inputs:e,attrs:t,backend:a}){let{x:n}=e,r=new Hu(n.shape,le.STEP,"stepAlpha : f32,"),s=[{type:"float32",data:[t.alpha]}];return a.runWebGPUProgram(r,[n],n.dtype,s)}var nme={kernelName:is,backendName:"webgpu",kernelFunc:ame},rme=class{constructor(e){this.variableNames=["x"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=Jt(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey="stridedSlice"}getUserCode(){let e=this.outputShape.length,t="";if(e===1)t="coords * uniforms.strides + uniforms.begin";else{let a=0;t=this.outputShape.map((n,r)=>(a++,this.outputShape.length===1?`coords * uniforms.strides[${r}] + uniforms.begin[${r}]`:`coords[${a-1}] * uniforms.strides[${r}] + uniforms.begin[${r}]`)).join(",")}return` + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, getX(${t})); } } - `}};function Tpe(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=St.sliceInfo(r.shape,s,i,o,l,u,p,c,d),k;if(m)k=Ie({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let S=St.computeOutShape(x,A,b),C=Au({inputs:{x:r},backend:a,attrs:{begin:x,size:S}});k=Ie({inputs:{x:C},backend:a,attrs:{shape:f}}),a.disposeData(C.dataId)}else if(a.shouldExecuteOnCPU([r])){let S=a.readSync(r.dataId),C=_e(r.shape,r.dtype,S),N=hie(h,C,b,x);k=a.makeTensorInfo(f,r.dtype,N.values)}else{let S=new Spe(h),C=[{type:"int32",data:x},{type:"int32",data:b}],N=a.runWebGPUProgram(S,[r],r.dtype,C);k=Ie({inputs:{x:N},backend:a,attrs:{shape:f}}),a.disposeData(N.dataId)}return k}var Cpe={kernelName:uo,backendName:"webgpu",kernelFunc:Tpe};function Npe(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.readSync(p.dataId),h=a.readSync(c.dataId),[f,m]=fie(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var Epe={kernelName:tu,backendName:"webgpu",kernelFunc:Npe},Rpe=et({opType:le.TAN}),Mpe={kernelName:co,backendName:"webgpu",kernelFunc:Rpe},$pe=et({opType:le.TANH}),_pe={kernelName:ho,backendName:"webgpu",kernelFunc:$pe},Ppe=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32, + `}};function sme(e){let{inputs:t,backend:a,attrs:n}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:c,shrinkAxisMask:d}=n,{finalShapeSparse:h,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:y,begin:x,end:A,strides:b}=Nt.sliceInfo(r.shape,s,i,o,l,u,p,c,d),w;if(m)w=we({inputs:{x:r},backend:a,attrs:{shape:f}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=Nt.computeOutShape(x,A,b),T=ju({inputs:{x:r},backend:a,attrs:{begin:x,size:C}});w=we({inputs:{x:T},backend:a,attrs:{shape:f}}),a.disposeData(T.dataId)}else if(a.shouldExecuteOnCPU([r])){let C=a.readSync(r.dataId),T=$e(r.shape,r.dtype,C),N=Uue(h,T,b,x);w=a.makeTensorInfo(f,r.dtype,N.values)}else{let C=new rme(h),T=[{type:"int32",data:x},{type:"int32",data:b}],N=a.runWebGPUProgram(C,[r],r.dtype,T);w=we({inputs:{x:N},backend:a,attrs:{shape:f}}),a.disposeData(N.dataId)}return w}var ime={kernelName:Oo,backendName:"webgpu",kernelFunc:sme};function ome(e){let{inputs:t,backend:a,attrs:n}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=n,{data:p,dataSplits:c}=t,d=a.readSync(p.dataId),h=a.readSync(c.dataId),[f,m]=Gue(d,h,r,s,i,o,l,u);return[a.makeTensorInfo([f.length],"string",f),a.makeTensorInfo(c.shape,"int32",m)]}var lme={kernelName:Ru,backendName:"webgpu",kernelFunc:ome},ume=ta({opType:_e.SUB,cpuKernelImpl:Hue,supportsComplex:!0}),dme={kernelName:zo,backendName:"webgpu",kernelFunc:ume},pme=tt({opType:le.TAN}),cme={kernelName:Lo,backendName:"webgpu",kernelFunc:pme},hme=tt({opType:le.TANH}),fme={kernelName:Wo,backendName:"webgpu",kernelFunc:hme};function mme(e){let{inputs:t,backend:a,attrs:n}=e,{tensor:r,indices:s,updates:i}=t,{}=n,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:c}=S.calculateShapes(i,s,r.shape),d=[c/u,u];if(c===0)return a.makeTensorInfo(r.shape,s.dtype);let h=[],f=we({inputs:{x:s},backend:a,attrs:{shape:[l,o]}});h.push(f);let m=we({inputs:{x:i},backend:a,attrs:{shape:[l,u]}});h.push(m);let g=we({inputs:{x:r},backend:a,attrs:{shape:d}});h.push(g);let y=Pg({inputs:{x:g},backend:a,attrs:{reps:Array(d.length).fill(1)}}),x=new Nd([l,u],o,f.shape.length,m.shape.length,p,d,r.dtype,!1),A=v.sizeFromShape([l,u]),b=[{type:"int32",data:[o]},{type:"int32",data:p},{type:"int32",data:[A]}],w=a.runWebGPUProgram(x,[m,f],g.dtype,b,y);h.push(w);let C=we({inputs:{x:w},backend:a,attrs:{shape:r.shape}});return h.forEach(T=>a.disposeData(T.dataId)),C}var gme={kernelName:So,backendName:"webgpu",kernelFunc:mme},yme=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32, dir : i32, inc : i32,`,this.shaderKey="swap"}getUserCode(){return` - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -7278,8 +8280,8 @@ return a / b;`,jK=` } } } - `}},Fpe=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms="inputSize : i32, firstPass : i32, k : i32,",this.shaderKey="merge"}getUserCode(){return` - ${ke("index")} { + `}},xme=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms="inputSize : i32, firstPass : i32, k : i32,",this.shaderKey="merge"}getUserCode(){return` + ${de("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -7337,7 +8339,7 @@ return a / b;`,jK=` } } } - `}};function Yo(e,t){t!==null&&e.disposeData(t.dataId)}function Yy(e){let t=1;for(;th===null?[p,p]:[p,h],m=(b,k,S)=>{let C=f(),N=new Ppe(S),$=[{type:"int32",data:[l]},{type:"int32",data:[h===null?1:0]},{type:"float32",data:[Number.NEGATIVE_INFINITY]},{type:"int32",data:[b]},{type:"int32",data:[k]}],M=h;h=a.runWebGPUProgram(N,C,"int32",$),Yo(a,M)};for(let b=1;b=1;S/=2)m(k,S,[u,d])}for(let b=d;b>c;b/=2){let k=f(),S=new Fpe([u,b/2]),C=[{type:"int32",data:[l]},{type:"int32",data:[h===null?1:0]},{type:"int32",data:[c]}],N=h;h=a.runWebGPUProgram(S,k,"int32",C),Yo(a,N);let $=c/2,M=$*2;for(let R=$;R>=1;R/=2)m(M,R,h.shape)}let g=h;h=Au({inputs:{x:h},backend:a,attrs:{begin:0,size:[u,s]}}),Yo(a,g);let y=G8({inputs:{x:p,indices:h},backend:a,attrs:{axis:1,batchDims:1}});Yo(a,p);let x=o.slice(0,-1);x.push(s),g=h,h=Ie({inputs:{x:h},attrs:{shape:x},backend:a}),Yo(a,g);let A=y;return y=Ie({inputs:{x:y},attrs:{shape:x},backend:a}),Yo(a,A),[y,h]}var Dpe={kernelName:fo,backendName:"webgpu",kernelFunc:Ope},zpe=class{constructor(e){this.variableNames=["Image","Transforms"],this.uniforms="interpolationModeId : i32, fillModeId : i32, fillValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=$e(this.outputShape),this.dispatch=we(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="transform"}getUserCode(){return` + `}};function Sl(e,t){t!==null&&e.disposeData(t.dataId)}function Gx(e){let t=1;for(;th===null?[p,p]:[p,h],m=(b,w,C)=>{let T=f(),N=new yme(C),M=[{type:"int32",data:[l]},{type:"int32",data:[h===null?1:0]},{type:"float32",data:[Number.NEGATIVE_INFINITY]},{type:"int32",data:[b]},{type:"int32",data:[w]}],F=h;h=a.runWebGPUProgram(N,T,"int32",M),Sl(a,F)};for(let b=1;b=1;C/=2)m(w,C,[u,d])}for(let b=d;b>c;b/=2){let w=f(),C=new xme([u,b/2]),T=[{type:"int32",data:[l]},{type:"int32",data:[h===null?1:0]},{type:"int32",data:[c]}],N=h;h=a.runWebGPUProgram(C,w,"int32",T),Sl(a,N);let M=c/2,F=M*2;for(let E=M;E>=1;E/=2)m(F,E,h.shape)}let g=h;h=ju({inputs:{x:h},backend:a,attrs:{begin:0,size:[u,s]}}),Sl(a,g);let y=ck({inputs:{x:p,indices:h},backend:a,attrs:{axis:1,batchDims:1}});Sl(a,p);let x=o.slice(0,-1);x.push(s),g=h,h=we({inputs:{x:h},attrs:{shape:x},backend:a}),Sl(a,g);let A=y;return y=we({inputs:{x:y},attrs:{shape:x},backend:a}),Sl(a,A),[y,h]}var bme={kernelName:Bo,backendName:"webgpu",kernelFunc:Ame},vme=class{constructor(e){this.variableNames=["Image","Transforms"],this.uniforms="interpolationModeId : i32, fillModeId : i32, fillValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=be(this.outputShape),this.dispatch=ce(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="transform"}getUserCode(){return` fn mapCoord(outCoord : f32, len : f32) -> f32{ var inCoord = outCoord; if(uniforms.fillModeId == 2) { @@ -7401,7 +8403,7 @@ return a / b;`,jK=` return outputValue; } - ${ke("index")} { + ${de("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var outputValue : f32; @@ -7453,7 +8455,24 @@ return a / b;`,jK=` setOutputAtIndex(index, outputValue); } } - `}};function Lpe(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new zpe(g),x=i==="nearest"?1:2,A;switch(o){case"constant":A=1;break;case"reflect":A=2;break;case"wrap":A=3;break;case"nearest":A=4;break;default:A=1;break}let b=[{type:"int32",data:[x]},{type:"int32",data:[A]},{type:"float32",data:[l]}];return a.runWebGPUProgram(y,[r,s],"float32",b)}var Bpe={kernelName:mo,backendName:"webgpu",kernelFunc:Lpe};function Wpe(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let m=0;ma.disposeData(m.dataId)),f}var Vpe={kernelName:au,backendName:"webgpu",kernelFunc:Wpe},Upe=[Dse,bie,kie,Iie,Tie,Eie,Oie,zie,Bie,Vie,Gie,jie,Xie,Zie,Jie,noe,ioe,loe,hoe,yoe,voe,woe,Coe,Lse,Moe,Loe,Uoe,qoe,Koe,Yoe,ele,ale,rle,ile,ule,cle,mle,xle,kle,Ile,Tle,Nle,Ele,Rle,$le,Ple,Pse,Ole,Vle,zle,Ble,Hle,qle,Kle,Jle,tue,nue,sue,zse,oue,Eoe,uue,pue,hue,mue,yue,Aue,kue,Tue,Iue,Nue,Rue,$ue,Oue,eoe,zue,Bue,toe,Vue,Gue,jue,Xue,Ale,Zue,Jue,ede,xoe,nde,sde,ode,ude,pde,hde,mde,yde,Aoe,xde,bde,kde,Ide,Fse,Cde,Rde,_de,Fde,Dde,Lde,Wde,Gde,qde,Kde,Yde,Qde,tpe,npe,poe,Ipe,Cpe,Epe,ipe,lpe,dpe,mpe,ype,Ape,bpe,kpe,rpe,ble,Mpe,_pe,hpe,Dpe,Bpe,_ie,Vpe,rde];for(let e of Upe)yn(e);var Jy="4.2.0",Gpe="4.2.0",Hpe="4.2.0",jpe="4.2.0",qpe="4.2.0",Xpe="0.0.1-alpha.17",xp={tfjs:Jy,"tfjs-core":Jy,"tfjs-converter":Gpe,"tfjs-backend-cpu":Hpe,"tfjs-backend-webgl":jpe,"tfjs-backend-wasm":qpe,"tfjs-backend-webgpu":Xpe};function K(...e){let t=new Date,a=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(a,"Human:",...e)}function Y8(e,t){let a=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${a}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var ae=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function G3(e,t,a="config",n=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")G3(e[r],t[r],r,n);else{let s=e&&typeof e[r]!="undefined";s||n.push({reason:"unknown property",where:`${a}.${r} = ${t[r]}`});let i=e&&typeof e[r]==typeof t[r];s&&!i&&n.push({reason:"property type mismatch",where:`${a}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&a==="config"&&n.length>0&&K("invalid configuration",n),n}function Nt(...e){let t=a=>a&&typeof a=="object";return e.reduce((a,n)=>(Object.keys(n||{}).forEach(r=>{let s=a[r],i=n[r];Array.isArray(s)&&Array.isArray(i)?a[r]=s.concat(...i):t(s)&&t(i)?a[r]=Nt(s,i):a[r]=i}),a),{})}var So={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var J8=` + `}};function wme(e){let{inputs:t,backend:a,attrs:n}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=n,[p,c,d,h]=r.shape,[f,m]=u!=null?u:[c,d],g=[p,f,m,h],y=new vme(g),x=i==="nearest"?1:2,A;switch(o){case"constant":A=1;break;case"reflect":A=2;break;case"wrap":A=3;break;case"nearest":A=4;break;default:A=1;break}let b=[{type:"int32",data:[x]},{type:"int32",data:[A]},{type:"float32",data:[l]}];return a.runWebGPUProgram(y,[r,s],"float32",b)}var kme={kernelName:Vo,backendName:"webgpu",kernelFunc:wme};function Ime(e){let{inputs:t,backend:a,attrs:n}=e,{value:r}=t,{axis:s}=n;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let m=0;ma.disposeData(m.dataId)),f}var Sme={kernelName:Eu,backendName:"webgpu",kernelFunc:Ime},Cme=class{constructor(e,t,a){if(this.outputShape=[],this.variableNames=["x","segmentIds"],this.uniforms="numSegments : i32, xSize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=t,this.dispatchLayout=be(e),this.dispatch=ce(this.dispatchLayout,e,this.workgroupSize),a!=="float32"&&a!=="int32")throw new Error(`UnsortedSegmentSum only supports float32 and int32 + types, does not support ${a} type.`);this.type=a,this.shaderKey="unsortedSegmentSum"}getUserCode(){return` + ${de("index")} { + if (index < uniforms.xSize) { + let coords = getXCoordsFromIndex(index); + let b = coords[0]; + let inCol = coords[1]; + + let segmentId = i32(getSegmentIds(inCol)); + if (segmentId >= 0) { + let flatIndex = b * uniforms.numSegments + segmentId % uniforms.numSegments; + let value = getX(b, inCol); + + ${Gu("&result[flatIndex]","value",this.type)} + } + } + } + `}};function Tme(e){let{inputs:t,backend:a,attrs:n}=e,{x:r,segmentIds:s}=t,{numSegments:i}=n,o=r.shape.length,l=[],u=0,p=S.getAxesPermutation([u],o),c=r;p!=null&&(c=Bn({inputs:{x:r},backend:a,attrs:{perm:p}}),l.push(c),u=S.getInnerMostAxes(1,o)[0]);let d=S.segment_util.computeOutShape(c.shape,u,i),h=v.sizeFromShape([c.shape[u]]),f=we({inputs:{x:c},backend:a,attrs:{shape:[-1,h]}});l.push(f);let m=r.dtype,g=[f.shape[0],i],y=Mn({backend:a,attrs:{shape:g,value:0,dtype:m}}),x=new Cme(f.shape,g,m),A=[{type:"int32",data:[i]},{type:"int32",data:[v.sizeFromShape(f.shape)]}],b=a.runWebGPUProgram(x,[f,s],m,A,y),w=we({inputs:{x:b},backend:a,attrs:{shape:d}});l.push(b);let C=w;if(p!=null){l.push(w);let T=S.getUndoAxesPermutation(p);C=Bn({inputs:{x:C},backend:a,attrs:{perm:T}})}return l.forEach(T=>a.disposeData(T.dataId)),C}var Nme={kernelName:vp,backendName:"webgpu",kernelFunc:Tme},Rme=[cue,Yue,Jue,ede,ade,sde,cde,fde,gde,xde,bde,wde,Ide,Cde,Nde,_de,Dde,Lde,Bde,Ude,Xde,Jde,tpe,spe,ope,ppe,fue,fpe,xpe,Cpe,Fpe,Ppe,Lpe,Bpe,Upe,Hpe,qpe,Ype,Jpe,ece,ace,sce,cce,fce,lce,yce,bce,Ice,Cce,Ece,Fce,$ce,Pce,zce,Wce,Bce,Uce,Hce,uue,qce,Qce,Kce,Zce,ahe,rhe,ihe,uhe,che,fhe,ghe,hue,xhe,gpe,bhe,whe,Ihe,Che,Nhe,Ehe,_he,Ohe,Dhe,Lhe,Bhe,Uhe,qhe,Yhe,Ede,Jhe,e0e,l0e,a0e,i0e,d0e,Mde,c0e,f0e,g0e,x0e,k0e,Tce,S0e,T0e,R0e,ape,F0e,$0e,P0e,z0e,W0e,V0e,G0e,j0e,npe,X0e,Y0e,J0e,efe,due,nfe,ife,ufe,cfe,mfe,yfe,Afe,vfe,kfe,Cfe,Rfe,Mfe,_fe,Dfe,Ofe,Lfe,jde,nme,ime,lme,v0e,Bfe,Ufe,Xfe,Yfe,Jfe,Qfe,tme,dme,Nce,cme,fme,gme,jfe,bme,kme,ude,Sme,Nme,_0e];for(let e of Rme)yn(e);var Hx="4.5.0",Eme="4.5.0",Mme="4.5.0",Fme="4.5.0",_me="4.5.0",$me="0.0.1-alpha.20",qp={tfjs:Hx,"tfjs-core":Hx,"tfjs-converter":Eme,"tfjs-backend-cpu":Mme,"tfjs-backend-webgl":Fme,"tfjs-backend-wasm":_me,"tfjs-backend-webgpu":$me};function K(...e){let t=new Date,a=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(a,"Human:",...e)}function yk(e,t){let a=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${a}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var ae=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Og(e,t,a="config",n=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Og(e[r],t[r],r,n);else{let s=e&&typeof e[r]!="undefined";s||n.push({reason:"unknown property",where:`${a}.${r} = ${t[r]}`});let i=e&&typeof e[r]==typeof t[r];s&&!i&&n.push({reason:"property type mismatch",where:`${a}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&a==="config"&&n.length>0&&K("invalid configuration",n),n}function Et(...e){let t=a=>a&&typeof a=="object";return e.reduce((a,n)=>(Object.keys(n||{}).forEach(r=>{let s=a[r],i=n[r];Array.isArray(s)&&Array.isArray(i)?a[r]=s.concat(...i):t(s)&&t(i)?a[r]=Et(s,i):a[r]=i}),a),{})}var Qo={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var xk=` precision highp float; attribute vec2 pos; attribute vec2 uv; @@ -7463,7 +8482,7 @@ return a / b;`,jK=` vUv = uv; gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.); } -`;var Q8=` +`;var Ak=` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -7475,7 +8494,7 @@ return a / b;`,jK=` gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14]; gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19]; } -`,e9=` +`,bk=` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -7487,7 +8506,7 @@ return a / b;`,jK=` gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14]; gl_FragColor.a = c.a; } -`,t9=` +`,vk=` precision highp float; varying vec2 vUv; uniform vec2 size; @@ -7500,7 +8519,7 @@ return a / b;`,jK=` vec2 coord = pixelate(vUv, size); gl_FragColor += texture2D(texture, coord); } -`,a9=` +`,wk=` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -7523,7 +8542,7 @@ return a / b;`,jK=` gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794; gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265; } -`,n9=` +`,kk=` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -7545,8 +8564,8 @@ return a / b;`,jK=` c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var H3=(e,t,a)=>{let n=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(n,(r,s)=>(a[s]=0,r))},j3=class{constructor(t,a,n){de(this,"uniform",{});de(this,"attribute",{});de(this,"gl");de(this,"id");de(this,"compile",(t,a)=>{let n=this.gl.createShader(a);return n?(this.gl.shaderSource(n,t),this.gl.compileShader(n),this.gl.getShaderParameter(n,this.gl.COMPILE_STATUS)?n:(K(`filter: gl compile failed: ${this.gl.getShaderInfoLog(n)||"unknown"}`),null)):(K("filter: could not create shader"),null)});this.gl=t;let r=this.compile(a,this.gl.VERTEX_SHADER),s=this.compile(n,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!r||!s)){if(!this.id){K("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,r),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){K(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),H3(a,"attribute",this.attribute);for(let i in this.attribute)this.attribute[i]=this.gl.getAttribLocation(this.id,i);H3(a,"uniform",this.uniform),H3(n,"uniform",this.uniform);for(let i in this.uniform)this.uniform[i]=this.gl.getUniformLocation(this.id,i)}}};function r9(){let e=0,t=null,a=!1,n=-1,r=[null,null],s=[],i=null,o=null,l=Rn(100,100),u={},p={INTERMEDIATE:1},c=l.getContext("webgl");if(!c){K("filter: cannot get webgl context");return}this.gl=c;function d(x,A){if(!(x===l.width&&A===l.height)){if(l.width=x,l.height=A,!i){let b=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);i=c.createBuffer(),c.bindBuffer(c.ARRAY_BUFFER,i),c.bufferData(c.ARRAY_BUFFER,b,c.STATIC_DRAW),c.pixelStorei(c.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}c.viewport(0,0,l.width,l.height),r=[null,null]}}function h(x,A){let b=c.createFramebuffer();c.bindFramebuffer(c.FRAMEBUFFER,b);let k=c.createRenderbuffer();c.bindRenderbuffer(c.RENDERBUFFER,k);let S=c.createTexture();return c.bindTexture(c.TEXTURE_2D,S),c.texImage2D(c.TEXTURE_2D,0,c.RGBA,x,A,0,c.RGBA,c.UNSIGNED_BYTE,null),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MAG_FILTER,c.LINEAR),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MIN_FILTER,c.LINEAR),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_S,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_T,c.CLAMP_TO_EDGE),c.framebufferTexture2D(c.FRAMEBUFFER,c.COLOR_ATTACHMENT0,c.TEXTURE_2D,S,0),c.bindTexture(c.TEXTURE_2D,null),c.bindFramebuffer(c.FRAMEBUFFER,null),{fbo:b,texture:S}}function f(x){return r[x]=r[x]||h(l.width,l.height),r[x]}function m(x=0){if(!o)return;let A=null,b=null,k=!1;e===0?A=t:A=f(n).texture||null,e++,a&&!(x&p.INTERMEDIATE)?(b=null,k=e%2===0):(n=(n+1)%2,b=f(n).fbo||null),c.bindTexture(c.TEXTURE_2D,A),c.bindFramebuffer(c.FRAMEBUFFER,b),c.uniform1f(o.uniform.flipY,k?-1:1),c.drawArrays(c.TRIANGLES,0,6)}function g(x){if(u[x])return o=u[x],c.useProgram((o?o.id:null)||null),o;if(o=new j3(c,J8,x),!o)return K("filter: could not get webgl program"),null;let A=Float32Array.BYTES_PER_ELEMENT,b=4*A;return c.enableVertexAttribArray(o.attribute.pos),c.vertexAttribPointer(o.attribute.pos,2,c.FLOAT,!1,b,0*A),c.enableVertexAttribArray(o.attribute.uv),c.vertexAttribPointer(o.attribute.uv,2,c.FLOAT,!1,b,2*A),u[x]=o,o}let y={colorMatrix:x=>{let A=new Float32Array(x);A[4]/=255,A[9]/=255,A[14]/=255,A[19]/=255;let b=A[18]===1&&A[3]===0&&A[8]===0&&A[13]===0&&A[15]===0&&A[16]===0&&A[17]===0&&A[19]===0?e9:Q8,k=g(b);k&&(c.uniform1fv(k.uniform.m,A),m())},brightness:x=>{let A=(x||0)+1;y.colorMatrix([A,0,0,0,0,0,A,0,0,0,0,0,A,0,0,0,0,0,1,0])},saturation:x=>{let A=(x||0)*2/3+1,b=(A-1)*-.5;y.colorMatrix([A,b,b,0,0,b,A,b,0,0,b,b,A,0,0,0,0,0,1,0])},desaturate:()=>{y.saturation(-1)},contrast:x=>{let A=(x||0)+1,b=-128*(A-1);y.colorMatrix([A,0,0,0,b,0,A,0,0,b,0,0,A,0,b,0,0,0,1,0])},negative:()=>{y.contrast(-2)},hue:x=>{x=(x||0)/180*Math.PI;let A=Math.cos(x),b=Math.sin(x),k=.213,S=.715,C=.072;y.colorMatrix([k+A*(1-k)+b*-k,S+A*-S+b*-S,C+A*-C+b*(1-C),0,0,k+A*-k+b*.143,S+A*(1-S)+b*.14,C+A*-C+b*-.283,0,0,k+A*-k+b*-(1-k),S+A*-S+b*S,C+A*(1-C)+b*C,0,0,0,0,0,1,0])},desaturateLuminance:()=>{y.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{y.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{y.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{y.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{y.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{y.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{y.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{y.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:x=>{let A=new Float32Array(x),b=1/l.width,k=1/l.height,S=g(n9);S&&(c.uniform1fv(S.uniform.m,A),c.uniform2f(S.uniform.px,b,k),m())},detectEdges:()=>{y.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{y.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{y.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:x=>{let A=x||1;y.convolution.call(this,[0,-1*A,0,-1*A,1+4*A,-1*A,0,-1*A,0])},emboss:x=>{let A=x||1;y.convolution.call(this,[-2*A,-1*A,0,-1*A,1,1*A,0,1*A,2*A])},blur:x=>{let A=x/7/l.width,b=x/7/l.height,k=g(a9);k&&(c.uniform2f(k.uniform.px,0,b),m(p.INTERMEDIATE),c.uniform2f(k.uniform.px,A,0),m())},pixelate:x=>{let A=x/l.width,b=x/l.height,k=g(t9);k&&(c.uniform2f(k.uniform.size,A,b),m())}};this.add=function(x){let A=Array.prototype.slice.call(arguments,1),b=y[x];s.push({func:b,args:A})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(x){d(x.width,x.height),e=0,t||(t=c.createTexture()),c.bindTexture(c.TEXTURE_2D,t),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_S,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_T,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MIN_FILTER,c.NEAREST),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MAG_FILTER,c.NEAREST),c.texImage2D(c.TEXTURE_2D,0,c.RGBA,c.RGBA,c.UNSIGNED_BYTE,x);for(let A=0;Ap.data())),i=Math.max(s[0][0],s[1][0],s[2][0]),l=(i>1?255:1)/i,u;if(l>1){let p=[me(a[0],n[0]),me(a[1],n[1]),me(a[2],n[2])],c=[me(r[0],n[0]),me(r[1],n[1]),me(r[2],n[2])],d=[te(p[0],l),te(p[1],l),te(p[2],l)],h=ua([d[0],d[1],d[2]],2);u=Q(h,[1,t.shape[0]||0,t.shape[1]||0,3]),J([...p,...c,...d])}else u=Gt(t,0);return J([...a,...n,...r,a,t,e]),u}var Uh=3840,Qt=null,ea=null,bu=null,yt,xn={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function q3(){xn.inputSum=0,xn.cacheDiff=1,xn.sumMethod=0,xn.inputTensor=void 0}function Rn(e,t){let a;if(ne.browser)if(ne.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");a=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")a=document.createElement("canvas"),a.width=e,a.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof ne.Canvas!="undefined")a=new ne.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")a=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof ne.Canvas!="undefined"?a=new ne.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(a=new globalThis.Canvas(e,t));return a}function Gh(e,t){let a=t||Rn(e.width,e.height);return a.getContext("2d").drawImage(e,0,0),a}async function Hh(e,t,a=!0){var d,h,f;if(!e)return t.debug&&K("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof ct)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof ct){let m=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)m=Gt(e,0);else if(e.shape[2]===4){let g=lp(e,[0,0,0],[-1,-1,3]);m=Gt(g,0),J(g)}}else e.shape.length===4&&(e.shape[3]===3?m=Ia(e):e.shape[3]===4&&(m=gh(e,[0,0,0,0],[-1,-1,-1,3])));if(m==null||m.shape.length!==4||m.shape[0]!==1||m.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(m.dtype==="int32"){let g=Xe(m,"float32");J(m),m=g}return{tensor:m,canvas:t.filter.return?ea:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&K("input stream is not ready"),{tensor:null,canvas:Qt};let n=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!n||!r)return t.debug&&K("cannot determine input dimensions"),{tensor:null,canvas:Qt};let s=n,i=r;if(s>Uh&&(s=Uh,i=Math.trunc(s*r/n)),i>Uh&&(i=Uh,s=Math.trunc(i*n/r)),(((d=t.filter)==null?void 0:d.width)||0)>0?s=t.filter.width:(((h=t.filter)==null?void 0:h.height)||0)>0&&(s=n*((t.filter.height||0)/r)),(t.filter.height||0)>0?i=t.filter.height:(t.filter.width||0)>0&&(i=r*((t.filter.width||0)/n)),!s||!i)throw new Error("input error: cannot determine dimension");(!Qt||Qt.width!==s||Qt.height!==i)&&(Qt=Rn(s,i));let o=Qt.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?o.putImageData(e,0,0):t.filter.flip&&typeof o.translate!="undefined"?(o.translate(n,0),o.scale(-1,1),o.drawImage(e,0,0,n,r,0,0,Qt.width,Qt.height),o.setTransform(1,0,0,1,0,0)):o.drawImage(e,0,0,n,r,0,0,Qt.width,Qt.height),(!ea||Qt.width!==ea.width||Qt.height!==ea.height)&&(ea=Rn(Qt.width,Qt.height)),t.filter.enabled&&ne.webgl.supported?(yt||(yt=ne.browser?new r9:null),ne.filter=!!yt,yt!=null&&yt.add?(yt.reset(),t.filter.brightness!==0&&yt.add("brightness",t.filter.brightness),t.filter.contrast!==0&&yt.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&yt.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&yt.add("blur",t.filter.blur),t.filter.saturation!==0&&yt.add("saturation",t.filter.saturation),t.filter.hue!==0&&yt.add("hue",t.filter.hue),t.filter.negative&&yt.add("negative"),t.filter.sepia&&yt.add("sepia"),t.filter.vintage&&yt.add("brownie"),t.filter.sepia&&yt.add("sepia"),t.filter.kodachrome&&yt.add("kodachrome"),t.filter.technicolor&&yt.add("technicolor"),t.filter.polaroid&&yt.add("polaroid"),t.filter.pixelate!==0&&yt.add("pixelate",t.filter.pixelate),((f=yt.get())==null?void 0:f.length)>1?ea=yt.apply(Qt):ea=yt.draw(Qt)):(t.debug&&K("input process error: cannot initialize filters"),ne.webgl.supported=!1,t.filter.enabled=!1,Gh(Qt,ea))):(Gh(Qt,ea),yt&&(yt=null),ne.filter=!!yt),!a)return{tensor:null,canvas:ea};if(!ea)throw new Error("canvas error: cannot create output");let l,u=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(ne.browser&&Sr)l=Sr?Sr.fromPixels(e):null;else{u=e.data.length/e.height/e.width;let m=new Uint8Array(e.data.buffer);l=Ue(m,[e.height,e.width,u],"int32")}else if((!bu||ea.width!==bu.width||ea.height!==bu.height)&&(bu=Rn(ea.width,ea.height)),Sr&&ne.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=Sr.fromPixels(ea):(bu=Gh(ea),l=Sr.fromPixels(bu));else{let y=Gh(ea).getContext("2d").getImageData(0,0,s,i);u=y.data.length/s/i;let x=new Uint8Array(y.data.buffer);l=Ue(x,[s,i,u])}if(u===4){let m=lp(l,[0,0,0],[-1,-1,3]);J(l),l=m}if(!l)throw new Error("input error: cannot create tensor");let p=Xe(l,"float32"),c=t.filter.equalization?await Vh(p):Gt(p,0);if(J([l,p]),t.filter.autoBrightness){let m=fa(c),g=await m.data();t.filter.brightness=g[0]>1?1-g[0]/255:1-g[0],J(m)}return{tensor:c,canvas:t.filter.return?ea:null}}async function s9(e,t){let a=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return a;if(!xn.inputTensor)xn.inputTensor=Ia(t);else if(xn.inputTensor.shape[1]!==t.shape[1]||xn.inputTensor.shape[2]!==t.shape[2])J(xn.inputTensor),xn.inputTensor=Ia(t);else{let n={};n.diff=me(t,xn.inputTensor),n.squared=te(n.diff,n.diff),n.sum=rt(n.squared);let s=(await n.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;J([xn.inputTensor,n.diff,n.squared,n.sum]),xn.inputTensor=Ia(t),a=s<=(e.cacheSensitivity||0)}return a}async function i9(e,t,a){let n={};if(!t||!a||t.shape.length!==4||t.shape.length!==a.shape.length)return e.debug||K("invalid input tensor or tensor shapes do not match:",t.shape,a.shape),0;if(t.shape[0]!==1||a.shape[0]!==1||t.shape[3]!==3||a.shape[3]!==3)return e.debug||K("input tensors must be of shape [1, height, width, 3]:",t.shape,a.shape),0;n.input1=Ia(t),n.input2=t.shape[1]!==a.shape[1]||t.shape[2]!==a.shape[2]?ce.resizeBilinear(a,[t.shape[1],t.shape[2]]):Ia(a),n.diff=me(n.input1,n.input2),n.squared=te(n.diff,n.diff),n.sum=rt(n.squared);let s=(await n.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return J([n.input1,n.input2,n.diff,n.squared,n.sum]),s}var bp,vp,kp,Ap=class{constructor(){de(this,"browser");de(this,"node");de(this,"worker");de(this,"platform","");de(this,"agent","");de(this,"backends",[]);de(this,"initial");de(this,"filter");de(this,"tfjs");de(this,"offscreen");de(this,"perfadd",!1);de(this,"tensorflow",{version:void 0,gpu:void 0});de(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});de(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});de(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});de(this,"cpu",{model:void 0,flags:[]});de(this,"kernels",[]);Gn(this,bp,void 0);Gn(this,vp,void 0);Gn(this,kp,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:xp["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",a=t.match(/\(([^()]+)\)/g);if(a!=null&&a[0]){let n=a[0].match(/\(([^()]+)\)/g);this.platform=n!=null&&n[0]?n[0].replace(/\(|\)/g,""):"",this.agent=t.replace(a[0],""),this.platform[1]&&(this.agent=this.agent.replace(a[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return qa(this,bp)}set Canvas(t){mr(this,bp,t),globalThis.Canvas=t}get Image(){return qa(this,vp)}set Image(t){mr(this,vp,t),globalThis.Image=t}get ImageData(){return qa(this,kp)}set ImageData(t){mr(this,kp,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(vt().registryFactory);try{this.tensorflow={version:tr().binding?tr().binding.TF_Version:void 0,gpu:tr().binding?tr().binding.isUsingGpuDevice():void 0}}catch(n){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await V().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await V().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=Rn(100,100),a=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof a!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&a&&(this.webgl.version=a.getParameter(a.VERSION),this.webgl.vendor=a.getParameter(a.VENDOR),this.webgl.renderer=a.getParameter(a.RENDERER),this.webgl.shader=a.getParameter(a.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let n=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(n==null?void 0:n.requestAdapterInfo())}}catch(n){this.webgpu.supported=!1}try{this.kernels=Zn(da()).map(n=>n.kernelName.toLowerCase())}catch(n){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};bp=new WeakMap,vp=new WeakMap,kp=new WeakMap;var ne=new Ap;var qh=class{constructor(){de(this,"config");de(this,"element");de(this,"stream");de(this,"devices",[]);de(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(a=>a.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});de(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let i=document.getElementById(t.element);if(i&&i instanceof HTMLVideoElement)this.element=i;else{this.config.debug&&K("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&K("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let a={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((r=this.config)==null?void 0:r.width)>0&&(a.video.width={ideal:this.config.width}),((s=this.config)==null?void 0:s.height)>0&&(a.video.height={ideal:this.config.height}),this.config.id&&(a.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&K("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&K("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&K("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(a)}catch(i){K("webcam",i);return}if(!this.stream){this.config.debug&&K("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(i=>{this.element?this.element.onloadeddata=()=>i(!0):i(!1)}),await this.element.play(),this.config.debug&&K("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});de(this,"pause",()=>{this.element&&this.element.pause()});de(this,"play",async()=>{this.element&&await this.element.play()});de(this,"stop",()=>{this.config.debug&&K("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var X3={};fr(X3,{"affectnet-mobilenet":()=>dce,age:()=>pce,"anti-spoofing":()=>Uce,antispoof:()=>Jpe,blazeface:()=>Qpe,"blazeface-back":()=>cce,"blazeface-front":()=>hce,"blazepose-detector":()=>fce,"blazepose-full":()=>mce,"blazepose-heavy":()=>gce,"blazepose-lite":()=>yce,centernet:()=>ece,default:()=>ahe,efficientpose:()=>xce,"efficientpose-i-lite":()=>Gce,"efficientpose-ii-lite":()=>Hce,"efficientpose-iv":()=>jce,emotion:()=>tce,faceboxes:()=>Ace,facemesh:()=>ace,"facemesh-attention":()=>vce,"facemesh-attention-pinto":()=>bce,"facemesh-detection-full":()=>kce,"facemesh-detection-short":()=>wce,faceres:()=>nce,"faceres-deep":()=>Ice,gear:()=>Cce,"gear-e1":()=>Sce,"gear-e2":()=>Tce,gender:()=>Ece,"gender-ssrnet-imdb":()=>Nce,handdetect:()=>Rce,"handlandmark-full":()=>Mce,"handlandmark-lite":()=>rce,"handlandmark-sparse":()=>$ce,handskeleton:()=>_ce,handtrack:()=>sce,"insightface-efficientnet-b0":()=>qce,"insightface-ghostnet-strides1":()=>Xce,"insightface-ghostnet-strides2":()=>Kce,"insightface-mobilenet-emore":()=>Zce,"insightface-mobilenet-swish":()=>Yce,iris:()=>ice,liveness:()=>oce,meet:()=>Pce,mobileface:()=>Fce,mobilefacenet:()=>Oce,models:()=>lce,"movenet-lightning":()=>uce,"movenet-multipose":()=>Dce,"movenet-thunder":()=>zce,nanodet:()=>Lce,"nanodet-e":()=>Jce,"nanodet-g":()=>Qce,"nanodet-m":()=>ehe,"nanodet-t":()=>the,posenet:()=>Bce,rvm:()=>Wce,selfie:()=>Vce});var Jpe=853098,Qpe=538928,ece=4030290,tce=820516,ace=1477958,nce=6978814,rce=2023432,sce=2964837,ice=2599092,oce=592976,lce=0,uce=4650216,dce=6920630,pce=161240,cce=538928,hce=402048,fce=5928856,mce=6339202,gce=27502466,yce=2726402,xce=5651240,Ace=2013002,bce=2387598,vce=2382414,kce=1026192,wce=201268,Ice=13957620,Sce=112438,Tce=112438,Cce=1498916,Nce=161236,Ece=201808,Rce=3515612,Mce=5431368,$ce=5286322,_ce=5502280,Pce=372228,Fce=2183192,Oce=5171976,Dce=9448838,zce=12477112,Lce=7574558,Bce=5032780,Wce=3739355,Vce=212886,Uce=853098,Gce=2269064,Hce=5651240,jce=25643252,qce=13013224,Xce=8093408,Kce=8049584,Zce=6938536,Yce=12168584,Jce=12319156,Qce=7574558,ehe=1887474,the=5294216,ahe={antispoof:Jpe,blazeface:Qpe,centernet:ece,emotion:tce,facemesh:ace,faceres:nce,"handlandmark-lite":rce,handtrack:sce,iris:ice,liveness:oce,models:lce,"movenet-lightning":uce,"affectnet-mobilenet":dce,age:pce,"blazeface-back":cce,"blazeface-front":hce,"blazepose-detector":fce,"blazepose-full":mce,"blazepose-heavy":gce,"blazepose-lite":yce,efficientpose:xce,faceboxes:Ace,"facemesh-attention-pinto":bce,"facemesh-attention":vce,"facemesh-detection-full":kce,"facemesh-detection-short":wce,"faceres-deep":Ice,"gear-e1":Sce,"gear-e2":Tce,gear:Cce,"gender-ssrnet-imdb":Nce,gender:Ece,handdetect:Rce,"handlandmark-full":Mce,"handlandmark-sparse":$ce,handskeleton:_ce,meet:Pce,mobileface:Fce,mobilefacenet:Oce,"movenet-multipose":Dce,"movenet-thunder":zce,nanodet:Lce,posenet:Bce,rvm:Wce,selfie:Vce,"anti-spoofing":Uce,"efficientpose-i-lite":Gce,"efficientpose-ii-lite":Hce,"efficientpose-iv":jce,"insightface-efficientnet-b0":qce,"insightface-ghostnet-strides1":Xce,"insightface-ghostnet-strides2":Kce,"insightface-mobilenet-emore":Zce,"insightface-mobilenet-swish":Yce,"nanodet-e":Jce,"nanodet-g":Qce,"nanodet-m":ehe,"nanodet-t":the};var Ma={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},ga={};async function nhe(e,t){return Ma.debug&&K("load model fetch:",e,t),fetch(e,t)}function o9(e){Ma.cacheModels=e.cacheModels,Ma.verbose=e.debug,Ma.modelBasePath=e.modelBasePath}async function Me(e){var u,p,c,d;let t=Y8(Ma.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let a=t.includes("/")?t.split("/"):t.split("\\"),n=a[a.length-1].replace(".json",""),r="indexeddb://"+n;ga[n]={name:n,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:X3[n],inCache:!1,url:""},Ma.cacheSupported=typeof indexedDB!="undefined";let s={};try{s=Ma.cacheSupported&&Ma.cacheModels?await jn.listModels():{}}catch(h){Ma.cacheSupported=!1}ga[n].inCache=Ma.cacheSupported&&Ma.cacheModels&&Object.keys(s).includes(r),ga[n].url=ga[n].inCache?r:t;let i=typeof fetch=="undefined"?{}:{fetchFunc:(h,f)=>nhe(h,f)},o=new up(ga[n].url,i),l=!1;try{o.findIOHandler(),Ma.debug&&K("model load handler:",o.handler)}catch(h){K("error finding model i/o handler:",t,h)}try{let h=await((u=o.handler)==null?void 0:u.load())||null;ga[n].sizeFromManifest=((p=h==null?void 0:h.weightData)==null?void 0:p.byteLength)||0,h?o.loadSync(h):o=await s3(ga[n].inCache?r:t,i),ga[n].sizeLoadedWeights=((d=(c=o.artifacts)==null?void 0:c.weightData)==null?void 0:d.byteLength)||0,Ma.verbose&&K("load:",{model:n,url:o.modelUrl,bytes:ga[n].sizeLoadedWeights}),l=!0}catch(h){K("error loading model:",t,h)}if(l&&Ma.cacheModels&&Ma.cacheSupported&&!ga[n].inCache)try{let h=await o.save(r);Ma.debug&&K("model saved:",r,h)}catch(h){K("error saving model:",t,h)}return o}var K3="3.0.6";var kt={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function ihe(){let e=kt.gl;e&&(kt.extensions=e.getSupportedExtensions())}function l9(e){var t;if(e.config.backend==="humangl"&&(kt.name in vt().registry&&!((t=kt==null?void 0:kt.gl)!=null&&t.getParameter(kt.gl.VERSION))&&(K("humangl error: backend invalid context"),e.models.reset()),!a1(kt.name))){try{kt.canvas=Rn(100,100)}catch(r){K("humangl error: cannot create canvas:",r);return}try{if(kt.gl=kt.canvas.getContext("webgl2",kt.webGLattr),!kt.gl){K("humangl error: cannot get webgl context");return}if(!kt.gl.getParameter(kt.gl.VERSION).includes("2.0")){K("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}kt.canvas&&(kt.canvas.addEventListener("webglcontextlost",s=>{throw K("humangl error:",s.type),K("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),kt.canvas.addEventListener("webglcontextrestored",s=>{K("humangl error: context restored:",s)}),kt.canvas.addEventListener("webglcontextcreationerror",s=>{K("humangl error: context create:",s)}))}catch(r){K("humangl error: cannot get webgl context:",r);return}try{Eh(2,kt.gl)}catch(r){K("humangl error: cannot set webgl context:",r);return}try{let r=new sl(kt.gl);yo(kt.name,()=>new fu(r),kt.priority)}catch(r){K("humangl error: cannot register webgl backend:",r);return}try{Zn("webgl").forEach(s=>{let i={...s,backendName:kt.name};yn(i)})}catch(r){K("humangl error: cannot update webgl backend registration:",r);return}try{V().flagRegistry.WEBGL_VERSION&&V().set("WEBGL_VERSION",2)}catch(r){K("humangl error: cannot set WebGL backend flags:",r);return}ihe();let a=tr(),n=typeof a.gpgpu!="undefined"?a.getGPGPUContext().gl:null;n?e.config.debug&&K("humangl backend registered:",{webgl:n.getParameter(n.VERSION),renderer:n.getParameter(n.RENDERER)}):K("humangl error: no current gl context:",n,kt.gl)}}var Le={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function u9(){Le.tf255=ze(255,"float32"),Le.tf1=ze(1,"float32"),Le.tf2=ze(2,"float32"),Le.tf05=ze(.5,"float32"),Le.tf127=ze(127.5,"float32"),Le.rgb=Ht([.2989,.587,.114],"float32")}async function uhe(){var e;return await ne.updateBackend(),(e=ne.tensorflow)!=null&&e.version?"tensorflow":ne.webgpu.supported&&ne.webgpu.backend?"webgpu":ne.webgl.supported&&ne.webgl.backend?"webgl":ne.wasm.supported&&ne.wasm.backend?"wasm":"cpu"}function dhe(e){let t=[];if(!ne.kernels.includes("mod")){let a={kernelName:"Mod",backendName:da(),kernelFunc:n=>Oe(()=>me(n.inputs.a,te(xe(n.inputs.a,n.inputs.b),n.inputs.b)))};yn(a),ne.kernels.push("mod"),t.push("mod")}if(!ne.kernels.includes("floormod")){let a={kernelName:"FloorMod",backendName:da(),kernelFunc:n=>Oe(()=>be(te(Qd(n.inputs.a,n.inputs.b),n.inputs.b),su(n.inputs.a,n.inputs.b)))};yn(a),ne.kernels.push("floormod"),t.push("floormod")}if(!ne.kernels.includes("rotatewithoffset")&&e.softwareKernels){let a={kernelName:"RotateWithOffset",backendName:da(),kernelFunc:n=>Oe(()=>{let r=da();Yd("cpu");let s=ce.rotateWithOffset(n.inputs.image,n.attrs.radians,n.attrs.fillValue,n.attrs.center);return Yd(r),s})};yn(a),ne.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&K("registered kernels:",t)}var d9={};async function wp(e,t=!1){var a,n;if(e.state="backend",((a=e.config.backend)==null?void 0:a.length)===0&&(e.config.backend=await uhe()),t||ne.initial||e.config.backend&&e.config.backend.length>0&&da()!==e.config.backend){let r=ae();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&K("running inside web worker"),typeof navigator!="undefined"&&((n=navigator==null?void 0:navigator.userAgent)!=null&&n.toLowerCase().includes("electron"))&&e.config.debug&&K("running inside electron");let s=Object.keys(vt().registryFactory);if(e.config.backend==="humangl"&&!s.includes("humangl")&&(l9(e),s=Object.keys(vt().registryFactory)),e.config.debug&&K("available backends:",s),ne.browser&&!ne.node&&e.config.backend==="tensorflow"&&s.includes("webgl")&&(e.config.debug&&K("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),ne.node&&!ne.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&s.includes("tensorflow")&&(e.config.debug&&K(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),ne.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")K("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let i=await navigator.gpu.requestAdapter();if(e.config.debug&&K("enumerated webgpu adapter:",i),!i)K("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let o="requestAdapterInfo"in i?await i.requestAdapterInfo():void 0;K("webgpu adapter info:",o)}}if(s.includes(e.config.backend)||(K(`error: backend ${e.config.backend} not found in registry`),e.config.backend=ne.node?"tensorflow":"webgl",e.config.debug&&K(`override: setting backend ${e.config.backend}`)),e.config.debug&&K("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(V().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&V().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&K("wasm path:",e.config.wasmPath),typeof Fh!="undefined")Fh(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let i=!1,o=!1;try{i=await V().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),o=await V().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&K(`wasm execution: ${o?"simd":"no simd"} ${i?"multithreaded":"singlethreaded"}`),e.config.debug&&!o&&K("warning: wasm simd support is not enabled")}catch(l){K("wasm detection failed")}}try{await Yd(e.config.backend),await Jd()}catch(i){return K("error: cannot set backend:",e.config.backend,i),!1}e.config.debug&&(d9=JSON.parse(JSON.stringify(V().flags)))}if((da()==="humangl"||da()==="webgl")&&(V().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&V().set("WEBGL_USE_SHAPES_UNIFORMS",!0),V().flagRegistry.WEBGL_EXP_CONV&&V().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(K("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),V().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),da(),e.config.debug){let s=V().flags,i={};for(let o of Object.keys(s))d9[o]!==s[o]&&(i[o]=s[o]);e.config.debug&&Object.keys(i).length>0&&K("backend:",da(),"flags:",i)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&K("flags:",e.config.flags);for(let[s,i]of Object.entries(e.config.flags))V().set(s,i)}e1(),u9(),e.performance.initBackend=Math.trunc(ae()-r),e.config.backend=da(),await ne.updateBackend(),dhe(e.config)}return!0}function Xh(e,t){for(let a of e){let n={kernelName:a,backendName:t.backend,kernelFunc:r=>{var s;return t.debug&&K("kernelFunc",a,t.backend,r),(s=r==null?void 0:r.inputs)==null?void 0:s.info}};yn(n)}ne.kernels=Zn(da()).map(a=>a.kernelName.toLowerCase())}var e0={};fr(e0,{all:()=>Whe,body:()=>Zh,canvas:()=>Bhe,face:()=>Kh,gesture:()=>Qh,hand:()=>Yh,init:()=>ag,object:()=>Jh,options:()=>_t,person:()=>Lhe});var An=e=>{if(!e)K("draw error: invalid canvas");else if(!e.getContext)K("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)K("draw error: cannot get canvas context");else return t}return null},To=e=>Math.round(e*180/Math.PI),it=(e,t,a)=>e.replace(t,typeof a=="number"?a.toFixed(1):a),Co=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let a=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${a[0]}, ${a[1]}, ${a[2]}, ${t.alpha})`};function bn(e,t,a,n,r){let s=t.replace(/\[.*\]/g,"").split(` -`).map(o=>o.trim()),i=Math.max(0,a);for(let o=s.length-1;o>=0;o--){let l=o*r.lineHeight+n;r.shadowColor&&r.shadowColor!==""&&(e.fillStyle=r.shadowColor,e.fillText(s[o],i+5,l+16)),e.fillStyle=r.labelColor,e.fillText(s[o],i+4,l+15)}}function sr(e,t,a,n,r){e.fillStyle=Co(n,r),e.beginPath(),e.arc(t,a,r.pointSize,0,2*Math.PI),e.fill()}function ir(e,t,a,n,r,s){if(e.beginPath(),e.lineWidth=s.lineWidth,s.useCurves){let i=(t+t+n)/2,o=(a+a+r)/2;e.ellipse(i,o,n/2,r/2,0,0,2*Math.PI)}else e.moveTo(t+s.roundRect,a),e.lineTo(t+n-s.roundRect,a),e.quadraticCurveTo(t+n,a,t+n,a+s.roundRect),e.lineTo(t+n,a+r-s.roundRect),e.quadraticCurveTo(t+n,a+r,t+n-s.roundRect,a+r),e.lineTo(t+s.roundRect,a+r),e.quadraticCurveTo(t,a+r,t,a+r-s.roundRect),e.lineTo(t,a+s.roundRect),e.quadraticCurveTo(t,a,t+s.roundRect,a),e.closePath();e.stroke()}function Z3(e,t,a){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=Co(n[2]||0,a),e.lineTo(Math.trunc(n[0]),Math.trunc(n[1]));e.stroke(),a.fillPolygons&&(e.closePath(),e.fill())}}function c9(e,t,a){if(!(t.length<2)){if(e.lineWidth=a.lineWidth,!a.useCurves||t.length<=2){Z3(e,t,a);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;nIp[e]),S3e=che.map(e=>Ip[e]),T3e=hhe.map(e=>Ip[e]);function ds(e){let t=e.map(a=>a[0]);return t.push(e[e.length-1][1]),t}var fhe=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],mhe=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],ghe=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],yhe=[[474,475],[475,476],[476,477],[477,474]],xhe=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Ahe=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],bhe=[[469,470],[470,471],[471,472],[472,469]],vhe=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],C3e={lips:ds(fhe),leftEye:ds(mhe),leftEyebrow:ds(ghe),leftIris:ds(yhe),rightEye:ds(xhe),rightEyebrow:ds(Ahe),rightIris:ds(bhe),faceOval:ds(vhe)};var khe=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],whe=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Ihe=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],She=[[474,475],[475,476],[476,477],[477,474]],The=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Che=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Nhe=[[469,470],[470,471],[471,472],[472,469]],Ehe=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function ps(e){let t=e.map(a=>a[0]);return t.push(e[e.length-1][1]),t}var Rhe={lips:ps(khe),leftEye:ps(whe),leftEyebrow:ps(Ihe),leftIris:ps(She),rightEye:ps(The),rightEyebrow:ps(Che),rightIris:ps(Nhe),faceOval:ps(Ehe)},Mhe=Object.entries(Rhe).map(([e,t])=>t.map(a=>[a,e])).flat(),N3e=new Map(Mhe),Sp=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Ro=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Mo=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var tt;function $he(e,t){var n,r,s,i,o,l,u,p,c;if(!tt.drawLabels||((n=tt.faceLabels)==null?void 0:n.length)===0)return;let a=tt.faceLabels.slice();if(a=it(a,"[id]",e.id.toFixed(0)),e.score&&(a=it(a,"[score]",100*e.score)),e.gender&&(a=it(a,"[gender]",e.gender)),e.genderScore&&(a=it(a,"[genderScore]",100*e.genderScore)),e.age&&(a=it(a,"[age]",e.age)),e.distance&&(a=it(a,"[distance]",100*e.distance)),e.real&&(a=it(a,"[real]",100*e.real)),e.live&&(a=it(a,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let d=e.emotion.map(h=>`${Math.trunc(100*h.score)}% ${h.emotion}`);d.length>3&&(d.length=3),a=it(a,"[emotions]",d.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(a=it(a,"[roll]",To(e.rotation.angle.roll))),(o=(i=e.rotation)==null?void 0:i.angle)!=null&&o.yaw&&(a=it(a,"[yaw]",To(e.rotation.angle.yaw))),(u=(l=e.rotation)==null?void 0:l.angle)!=null&&u.pitch&&(a=it(a,"[pitch]",To(e.rotation.angle.pitch))),(c=(p=e.rotation)==null?void 0:p.gaze)!=null&&c.bearing&&(a=it(a,"[gaze]",To(e.rotation.gaze.bearing))),bn(t,a,e.box[0],e.box[1],tt)}function _he(e,t){var a,n,r,s;if((a=e.annotations)!=null&&a.leftEyeIris&&((n=e.annotations)!=null&&n.leftEyeIris[0])){t.strokeStyle=tt.useDepth?"rgba(255, 200, 255, 0.3)":tt.color,t.beginPath();let i=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,o=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],i,o,0,0,2*Math.PI),t.stroke(),tt.fillPolygons&&(t.fillStyle=tt.useDepth?"rgba(255, 255, 200, 0.3)":tt.color,t.fill())}if((r=e.annotations)!=null&&r.rightEyeIris&&((s=e.annotations)!=null&&s.rightEyeIris[0])){t.strokeStyle=tt.useDepth?"rgba(255, 200, 255, 0.3)":tt.color,t.beginPath();let i=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,o=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],i,o,0,0,2*Math.PI),t.stroke(),tt.fillPolygons&&(t.fillStyle=tt.useDepth?"rgba(255, 255, 200, 0.3)":tt.color,t.fill())}}function Phe(e,t){var a;if(tt.drawGaze&&((a=e.rotation)!=null&&a.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let n=e.box[0]+e.box[2]/2-e.box[3]*To(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*To(e.rotation.angle.pitch)/90,s=new Path2D(` +`;var zg=(e,t,a)=>{let n=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(n,(r,s)=>(a[s]=0,r))},Lg=class{constructor(t,a,n){he(this,"uniform",{});he(this,"attribute",{});he(this,"gl");he(this,"id");he(this,"compile",(t,a)=>{let n=this.gl.createShader(a);return n?(this.gl.shaderSource(n,t),this.gl.compileShader(n),this.gl.getShaderParameter(n,this.gl.COMPILE_STATUS)?n:(K(`filter: gl compile failed: ${this.gl.getShaderInfoLog(n)||"unknown"}`),null)):(K("filter: could not create shader"),null)});this.gl=t;let r=this.compile(a,this.gl.VERTEX_SHADER),s=this.compile(n,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!r||!s)){if(!this.id){K("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,r),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){K(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),zg(a,"attribute",this.attribute);for(let i in this.attribute)this.attribute[i]=this.gl.getAttribLocation(this.id,i);zg(a,"uniform",this.uniform),zg(n,"uniform",this.uniform);for(let i in this.uniform)this.uniform[i]=this.gl.getUniformLocation(this.id,i)}}};function Ik(){let e=0,t=null,a=!1,n=-1,r=[null,null],s=[],i=null,o=null,l=Fn(100,100),u={},p={INTERMEDIATE:1},c=l.getContext("webgl");if(!c){K("filter: cannot get webgl context");return}this.gl=c;function d(x,A){if(!(x===l.width&&A===l.height)){if(l.width=x,l.height=A,!i){let b=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);i=c.createBuffer(),c.bindBuffer(c.ARRAY_BUFFER,i),c.bufferData(c.ARRAY_BUFFER,b,c.STATIC_DRAW),c.pixelStorei(c.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}c.viewport(0,0,l.width,l.height),r=[null,null]}}function h(x,A){let b=c.createFramebuffer();c.bindFramebuffer(c.FRAMEBUFFER,b);let w=c.createRenderbuffer();c.bindRenderbuffer(c.RENDERBUFFER,w);let C=c.createTexture();return c.bindTexture(c.TEXTURE_2D,C),c.texImage2D(c.TEXTURE_2D,0,c.RGBA,x,A,0,c.RGBA,c.UNSIGNED_BYTE,null),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MAG_FILTER,c.LINEAR),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MIN_FILTER,c.LINEAR),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_S,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_T,c.CLAMP_TO_EDGE),c.framebufferTexture2D(c.FRAMEBUFFER,c.COLOR_ATTACHMENT0,c.TEXTURE_2D,C,0),c.bindTexture(c.TEXTURE_2D,null),c.bindFramebuffer(c.FRAMEBUFFER,null),{fbo:b,texture:C}}function f(x){return r[x]=r[x]||h(l.width,l.height),r[x]}function m(x=0){if(!o)return;let A=null,b=null,w=!1;e===0?A=t:A=f(n).texture||null,e++,a&&!(x&p.INTERMEDIATE)?(b=null,w=e%2===0):(n=(n+1)%2,b=f(n).fbo||null),c.bindTexture(c.TEXTURE_2D,A),c.bindFramebuffer(c.FRAMEBUFFER,b),c.uniform1f(o.uniform.flipY,w?-1:1),c.drawArrays(c.TRIANGLES,0,6)}function g(x){if(u[x])return o=u[x],c.useProgram((o?o.id:null)||null),o;if(o=new Lg(c,xk,x),!o)return K("filter: could not get webgl program"),null;let A=Float32Array.BYTES_PER_ELEMENT,b=4*A;return c.enableVertexAttribArray(o.attribute.pos),c.vertexAttribPointer(o.attribute.pos,2,c.FLOAT,!1,b,0*A),c.enableVertexAttribArray(o.attribute.uv),c.vertexAttribPointer(o.attribute.uv,2,c.FLOAT,!1,b,2*A),u[x]=o,o}let y={colorMatrix:x=>{let A=new Float32Array(x);A[4]/=255,A[9]/=255,A[14]/=255,A[19]/=255;let b=A[18]===1&&A[3]===0&&A[8]===0&&A[13]===0&&A[15]===0&&A[16]===0&&A[17]===0&&A[19]===0?bk:Ak,w=g(b);w&&(c.uniform1fv(w.uniform.m,A),m())},brightness:x=>{let A=(x||0)+1;y.colorMatrix([A,0,0,0,0,0,A,0,0,0,0,0,A,0,0,0,0,0,1,0])},saturation:x=>{let A=(x||0)*2/3+1,b=(A-1)*-.5;y.colorMatrix([A,b,b,0,0,b,A,b,0,0,b,b,A,0,0,0,0,0,1,0])},desaturate:()=>{y.saturation(-1)},contrast:x=>{let A=(x||0)+1,b=-128*(A-1);y.colorMatrix([A,0,0,0,b,0,A,0,0,b,0,0,A,0,b,0,0,0,1,0])},negative:()=>{y.contrast(-2)},hue:x=>{x=(x||0)/180*Math.PI;let A=Math.cos(x),b=Math.sin(x),w=.213,C=.715,T=.072;y.colorMatrix([w+A*(1-w)+b*-w,C+A*-C+b*-C,T+A*-T+b*(1-T),0,0,w+A*-w+b*.143,C+A*(1-C)+b*.14,T+A*-T+b*-.283,0,0,w+A*-w+b*-(1-w),C+A*-C+b*C,T+A*(1-T)+b*T,0,0,0,0,0,1,0])},desaturateLuminance:()=>{y.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{y.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{y.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{y.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{y.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{y.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{y.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{y.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:x=>{let A=new Float32Array(x),b=1/l.width,w=1/l.height,C=g(kk);C&&(c.uniform1fv(C.uniform.m,A),c.uniform2f(C.uniform.px,b,w),m())},detectEdges:()=>{y.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{y.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{y.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:x=>{let A=x||1;y.convolution.call(this,[0,-1*A,0,-1*A,1+4*A,-1*A,0,-1*A,0])},emboss:x=>{let A=x||1;y.convolution.call(this,[-2*A,-1*A,0,-1*A,1,1*A,0,1*A,2*A])},blur:x=>{let A=x/7/l.width,b=x/7/l.height,w=g(wk);w&&(c.uniform2f(w.uniform.px,0,b),m(p.INTERMEDIATE),c.uniform2f(w.uniform.px,A,0),m())},pixelate:x=>{let A=x/l.width,b=x/l.height,w=g(vk);w&&(c.uniform2f(w.uniform.size,A,b),m())}};this.add=function(x){let A=Array.prototype.slice.call(arguments,1),b=y[x];s.push({func:b,args:A})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(x){d(x.width,x.height),e=0,t||(t=c.createTexture()),c.bindTexture(c.TEXTURE_2D,t),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_S,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_WRAP_T,c.CLAMP_TO_EDGE),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MIN_FILTER,c.NEAREST),c.texParameteri(c.TEXTURE_2D,c.TEXTURE_MAG_FILTER,c.NEAREST),c.texImage2D(c.TEXTURE_2D,0,c.RGBA,c.RGBA,c.UNSIGNED_BYTE,x);for(let A=0;Ap.data())),i=Math.max(s[0][0],s[1][0],s[2][0]),l=(i>1?255:1)/i,u;if(l>1){let p=[ye(a[0],n[0]),ye(a[1],n[1]),ye(a[2],n[2])],c=[ye(r[0],n[0]),ye(r[1],n[1]),ye(r[2],n[2])],d=[te(p[0],l),te(p[1],l),te(p[2],l)],h=ca([d[0],d[1],d[2]],2);u=Q(h,[1,t.shape[0]||0,t.shape[1]||0,3]),J([...p,...c,...d,h])}else u=Ht(t,0);return J([...a,...n,...r,a,t,e]),u}var d0=3840,aa=null,na=null,qu=null,bt,xn={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function Wg(){xn.inputSum=0,xn.cacheDiff=1,xn.sumMethod=0,xn.inputTensor=void 0}function Fn(e,t){let a;if(ne.browser)if(ne.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");a=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")a=document.createElement("canvas"),a.width=e,a.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof ne.Canvas!="undefined")a=new ne.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")a=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof ne.Canvas!="undefined"?a=new ne.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(a=new globalThis.Canvas(e,t));return a}function p0(e,t){let a=t||Fn(e.width,e.height);return a.getContext("2d").drawImage(e,0,0),a}async function c0(e,t,a=!0){var d,h,f;if(!e)return t.debug&&K("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof gt)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof gt){let m=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)m=Ht(e,0);else if(e.shape[2]===4){let g=zp(e,[0,0,0],[-1,-1,3]);m=Ht(g,0),J(g)}}else e.shape.length===4&&(e.shape[3]===3?m=Sa(e):e.shape[3]===4&&(m=Ph(e,[0,0,0,0],[-1,-1,-1,3])));if(m==null||m.shape.length!==4||m.shape[0]!==1||m.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(m.dtype==="int32"){let g=Ke(m,"float32");J(m),m=g}return{tensor:m,canvas:t.filter.return?na:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&K("input stream is not ready"),{tensor:null,canvas:aa};let n=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!n||!r)return t.debug&&K("cannot determine input dimensions"),{tensor:null,canvas:aa};let s=n,i=r;if(s>d0&&(s=d0,i=Math.trunc(s*r/n)),i>d0&&(i=d0,s=Math.trunc(i*n/r)),(((d=t.filter)==null?void 0:d.width)||0)>0?s=t.filter.width:(((h=t.filter)==null?void 0:h.height)||0)>0&&(s=n*((t.filter.height||0)/r)),(t.filter.height||0)>0?i=t.filter.height:(t.filter.width||0)>0&&(i=r*((t.filter.width||0)/n)),!s||!i)throw new Error("input error: cannot determine dimension");(!aa||aa.width!==s||aa.height!==i)&&(aa=Fn(s,i));let o=aa.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?o.putImageData(e,0,0):t.filter.flip&&typeof o.translate!="undefined"?(o.translate(n,0),o.scale(-1,1),o.drawImage(e,0,0,n,r,0,0,aa.width,aa.height),o.setTransform(1,0,0,1,0,0)):o.drawImage(e,0,0,n,r,0,0,aa.width,aa.height),(!na||aa.width!==na.width||aa.height!==na.height)&&(na=Fn(aa.width,aa.height)),t.filter.enabled&&ne.webgl.supported?(bt||(bt=ne.browser?new Ik:null),ne.filter=!!bt,bt!=null&&bt.add?(bt.reset(),t.filter.brightness!==0&&bt.add("brightness",t.filter.brightness),t.filter.contrast!==0&&bt.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&bt.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&bt.add("blur",t.filter.blur),t.filter.saturation!==0&&bt.add("saturation",t.filter.saturation),t.filter.hue!==0&&bt.add("hue",t.filter.hue),t.filter.negative&&bt.add("negative"),t.filter.sepia&&bt.add("sepia"),t.filter.vintage&&bt.add("brownie"),t.filter.sepia&&bt.add("sepia"),t.filter.kodachrome&&bt.add("kodachrome"),t.filter.technicolor&&bt.add("technicolor"),t.filter.polaroid&&bt.add("polaroid"),t.filter.pixelate!==0&&bt.add("pixelate",t.filter.pixelate),((f=bt.get())==null?void 0:f.length)>1?na=bt.apply(aa):na=bt.draw(aa)):(t.debug&&K("input process error: cannot initialize filters"),ne.webgl.supported=!1,t.filter.enabled=!1,p0(aa,na))):(p0(aa,na),bt&&(bt=null),ne.filter=!!bt),!a)return{tensor:null,canvas:na};if(!na)throw new Error("canvas error: cannot create output");let l,u=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(ne.browser&&Rr)l=Rr?Rr.fromPixels(e):null;else{u=e.data.length/e.height/e.width;let m=new Uint8Array(e.data.buffer);l=Ve(m,[e.height,e.width,u],"int32")}else if((!qu||na.width!==qu.width||na.height!==qu.height)&&(qu=Fn(na.width,na.height)),Rr&&ne.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=Rr.fromPixels(na):(qu=p0(na),l=Rr.fromPixels(qu));else{let y=p0(na).getContext("2d").getImageData(0,0,s,i);u=y.data.length/s/i;let x=new Uint8Array(y.data.buffer);l=Ve(x,[s,i,u])}if(u===4){let m=zp(l,[0,0,0],[-1,-1,3]);J(l),l=m}if(!l)throw new Error("input error: cannot create tensor");let p=Ke(l,"float32"),c=t.filter.equalization?await u0(p):Ht(p,0);if(J([l,p]),t.filter.autoBrightness){let m=ga(c),g=await m.data();t.filter.brightness=g[0]>1?1-g[0]/255:1-g[0],J(m)}return{tensor:c,canvas:t.filter.return?na:null}}async function Sk(e,t){let a=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return a;if(!xn.inputTensor)xn.inputTensor=Sa(t);else if(xn.inputTensor.shape[1]!==t.shape[1]||xn.inputTensor.shape[2]!==t.shape[2])J(xn.inputTensor),xn.inputTensor=Sa(t);else{let n={};n.diff=ye(t,xn.inputTensor),n.squared=te(n.diff,n.diff),n.sum=ot(n.squared);let s=(await n.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;J([xn.inputTensor,n.diff,n.squared,n.sum]),xn.inputTensor=Sa(t),a=s<=(e.cacheSensitivity||0)}return a}async function Ck(e,t,a){let n={};if(!t||!a||t.shape.length!==4||t.shape.length!==a.shape.length)return e.debug||K("invalid input tensor or tensor shapes do not match:",t.shape,a.shape),0;if(t.shape[0]!==1||a.shape[0]!==1||t.shape[3]!==3||a.shape[3]!==3)return e.debug||K("input tensors must be of shape [1, height, width, 3]:",t.shape,a.shape),0;n.input1=Sa(t),n.input2=t.shape[1]!==a.shape[1]||t.shape[2]!==a.shape[2]?fe.resizeBilinear(a,[t.shape[1],t.shape[2]]):Sa(a),n.diff=ye(n.input1,n.input2),n.squared=te(n.diff,n.diff),n.sum=ot(n.squared);let s=(await n.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return J([n.input1,n.input2,n.diff,n.squared,n.sum]),s}var Kp,Yp,Zp,Xp=class{constructor(){he(this,"browser");he(this,"node");he(this,"worker");he(this,"platform","");he(this,"agent","");he(this,"backends",[]);he(this,"initial");he(this,"filter");he(this,"tfjs");he(this,"offscreen");he(this,"perfadd",!1);he(this,"tensorflow",{version:void 0,gpu:void 0});he(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});he(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});he(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});he(this,"cpu",{model:void 0,flags:[]});he(this,"kernels",[]);qn(this,Kp,void 0);qn(this,Yp,void 0);qn(this,Zp,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:qp["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",a=t.match(/\(([^()]+)\)/g);if(a!=null&&a[0]){let n=a[0].match(/\(([^()]+)\)/g);this.platform=n!=null&&n[0]?n[0].replace(/\(|\)/g,""):"",this.agent=t.replace(a[0],""),this.platform[1]&&(this.agent=this.agent.replace(a[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Xa(this,Kp)}set Canvas(t){xr(this,Kp,t),globalThis.Canvas=t}get Image(){return Xa(this,Yp)}set Image(t){xr(this,Yp,t),globalThis.Image=t}get ImageData(){return Xa(this,Zp)}set ImageData(t){xr(this,Zp,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(It().registryFactory);try{this.tensorflow={version:nr().binding?nr().binding.TF_Version:void 0,gpu:nr().binding?nr().binding.isUsingGpuDevice():void 0}}catch(n){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await W().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await W().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=Fn(100,100),a=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof a!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&a&&(this.webgl.version=a.getParameter(a.VERSION),this.webgl.vendor=a.getParameter(a.VENDOR),this.webgl.renderer=a.getParameter(a.RENDERER),this.webgl.shader=a.getParameter(a.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let n=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(n==null?void 0:n.requestAdapterInfo())}}catch(n){this.webgpu.supported=!1}try{this.kernels=Jn(ha()).map(n=>n.kernelName.toLowerCase())}catch(n){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};Kp=new WeakMap,Yp=new WeakMap,Zp=new WeakMap;var ne=new Xp;var f0=class{constructor(){he(this,"config");he(this,"element");he(this,"stream");he(this,"devices",[]);he(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(a=>a.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});he(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let i=document.getElementById(t.element);if(i&&i instanceof HTMLVideoElement)this.element=i;else{this.config.debug&&K("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&K("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let a={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((r=this.config)==null?void 0:r.width)>0&&(a.video.width={ideal:this.config.width}),((s=this.config)==null?void 0:s.height)>0&&(a.video.height={ideal:this.config.height}),this.config.id&&(a.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&K("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&K("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&K("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(a)}catch(i){K("webcam",i);return}if(!this.stream){this.config.debug&&K("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(i=>{this.element?this.element.onloadeddata=()=>i(!0):i(!1)}),await this.element.play(),this.config.debug&&K("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});he(this,"pause",()=>{this.element&&this.element.pause()});he(this,"play",async()=>{this.element&&await this.element.play()});he(this,"stop",()=>{this.config.debug&&K("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var Bg={};yr(Bg,{"affectnet-mobilenet":()=>Yme,age:()=>Zme,"anti-spoofing":()=>R2e,antispoof:()=>zme,blazeface:()=>Lme,"blazeface-back":()=>Jme,"blazeface-front":()=>Qme,"blazepose-detector":()=>e2e,"blazepose-full":()=>t2e,"blazepose-heavy":()=>a2e,"blazepose-lite":()=>n2e,centernet:()=>Wme,default:()=>V2e,efficientpose:()=>r2e,"efficientpose-i-lite":()=>E2e,"efficientpose-ii-lite":()=>M2e,"efficientpose-iv":()=>F2e,emotion:()=>Bme,faceboxes:()=>s2e,facemesh:()=>Vme,"facemesh-attention":()=>o2e,"facemesh-attention-pinto":()=>i2e,"facemesh-detection-full":()=>l2e,"facemesh-detection-short":()=>u2e,faceres:()=>Ume,"faceres-deep":()=>d2e,gear:()=>h2e,"gear-e1":()=>p2e,"gear-e2":()=>c2e,gender:()=>m2e,"gender-ssrnet-imdb":()=>f2e,handdetect:()=>g2e,"handlandmark-full":()=>y2e,"handlandmark-lite":()=>Gme,"handlandmark-sparse":()=>x2e,handskeleton:()=>A2e,handtrack:()=>Hme,"insightface-efficientnet-b0":()=>_2e,"insightface-ghostnet-strides1":()=>$2e,"insightface-ghostnet-strides2":()=>D2e,"insightface-mobilenet-emore":()=>P2e,"insightface-mobilenet-swish":()=>O2e,iris:()=>jme,liveness:()=>qme,meet:()=>b2e,mobileface:()=>v2e,mobilefacenet:()=>w2e,models:()=>Xme,"movenet-lightning":()=>Kme,"movenet-multipose":()=>k2e,"movenet-thunder":()=>I2e,nanodet:()=>S2e,"nanodet-e":()=>z2e,"nanodet-g":()=>L2e,"nanodet-m":()=>W2e,"nanodet-t":()=>B2e,posenet:()=>C2e,rvm:()=>T2e,selfie:()=>N2e});var zme=853098,Lme=538928,Wme=4030290,Bme=820516,Vme=1477958,Ume=6978814,Gme=2023432,Hme=2964837,jme=2599092,qme=592976,Xme=0,Kme=4650216,Yme=6920630,Zme=161240,Jme=538928,Qme=402048,e2e=5928856,t2e=6339202,a2e=27502466,n2e=2726402,r2e=5651240,s2e=2013002,i2e=2387598,o2e=2382414,l2e=1026192,u2e=201268,d2e=13957620,p2e=112438,c2e=112438,h2e=1498916,f2e=161236,m2e=201808,g2e=3515612,y2e=5431368,x2e=5286322,A2e=5502280,b2e=372228,v2e=2183192,w2e=5171976,k2e=9448838,I2e=12477112,S2e=7574558,C2e=5032780,T2e=3739355,N2e=212886,R2e=853098,E2e=2269064,M2e=5651240,F2e=25643252,_2e=13013224,$2e=8093408,D2e=8049584,P2e=6938536,O2e=12168584,z2e=12319156,L2e=7574558,W2e=1887474,B2e=5294216,V2e={antispoof:zme,blazeface:Lme,centernet:Wme,emotion:Bme,facemesh:Vme,faceres:Ume,"handlandmark-lite":Gme,handtrack:Hme,iris:jme,liveness:qme,models:Xme,"movenet-lightning":Kme,"affectnet-mobilenet":Yme,age:Zme,"blazeface-back":Jme,"blazeface-front":Qme,"blazepose-detector":e2e,"blazepose-full":t2e,"blazepose-heavy":a2e,"blazepose-lite":n2e,efficientpose:r2e,faceboxes:s2e,"facemesh-attention-pinto":i2e,"facemesh-attention":o2e,"facemesh-detection-full":l2e,"facemesh-detection-short":u2e,"faceres-deep":d2e,"gear-e1":p2e,"gear-e2":c2e,gear:h2e,"gender-ssrnet-imdb":f2e,gender:m2e,handdetect:g2e,"handlandmark-full":y2e,"handlandmark-sparse":x2e,handskeleton:A2e,meet:b2e,mobileface:v2e,mobilefacenet:w2e,"movenet-multipose":k2e,"movenet-thunder":I2e,nanodet:S2e,posenet:C2e,rvm:T2e,selfie:N2e,"anti-spoofing":R2e,"efficientpose-i-lite":E2e,"efficientpose-ii-lite":M2e,"efficientpose-iv":F2e,"insightface-efficientnet-b0":_2e,"insightface-ghostnet-strides1":$2e,"insightface-ghostnet-strides2":D2e,"insightface-mobilenet-emore":P2e,"insightface-mobilenet-swish":O2e,"nanodet-e":z2e,"nanodet-g":L2e,"nanodet-m":W2e,"nanodet-t":B2e};var Ma={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},xa={};async function U2e(e,t){return Ma.debug&&K("load model fetch:",e,t),fetch(e,t)}function Tk(e){Ma.cacheModels=e.cacheModels,Ma.verbose=e.debug,Ma.modelBasePath=e.modelBasePath}async function Fe(e){var u,p,c,d;let t=yk(Ma.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let a=t.includes("/")?t.split("/"):t.split("\\"),n=a[a.length-1].replace(".json",""),r="indexeddb://"+n;xa[n]={name:n,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:Bg[n],inCache:!1,url:""},Ma.cacheSupported=typeof indexedDB!="undefined";let s={};try{s=Ma.cacheSupported&&Ma.cacheModels?await Kn.listModels():{}}catch(h){Ma.cacheSupported=!1}xa[n].inCache=Ma.cacheSupported&&Ma.cacheModels&&Object.keys(s).includes(r),xa[n].url=xa[n].inCache?r:t;let i=typeof fetch=="undefined"?{}:{fetchFunc:(h,f)=>U2e(h,f)},o=new Lp(xa[n].url,i),l=!1;try{o.findIOHandler(),Ma.debug&&K("model load handler:",o.handler)}catch(h){K("error finding model i/o handler:",t,h)}try{let h=await((u=o.handler)==null?void 0:u.load())||null;xa[n].sizeFromManifest=((p=h==null?void 0:h.weightData)==null?void 0:p.byteLength)||0,h?o.loadSync(h):o=await Y3(xa[n].inCache?r:t,i),xa[n].sizeLoadedWeights=((d=(c=o.artifacts)==null?void 0:c.weightData)==null?void 0:d.byteLength)||0,Ma.verbose&&K("load:",{model:n,url:o.modelUrl,bytes:xa[n].sizeLoadedWeights}),l=!0}catch(h){K("error loading model:",t,h)}if(l&&Ma.cacheModels&&Ma.cacheSupported&&!xa[n].inCache)try{let h=await o.save(r);Ma.debug&&K("model saved:",r,h)}catch(h){K("error saving model:",t,h)}return o}var Vg="3.0.6";var St={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function j2e(){let e=St.gl;e&&(St.extensions=e.getSupportedExtensions())}function Nk(e){var t;if(e.config.backend==="humangl"&&(St.name in It().registry&&!((t=St==null?void 0:St.gl)!=null&&t.getParameter(St.gl.VERSION))&&(K("humangl error: backend invalid context"),e.models.reset()),!Z1(St.name))){try{St.canvas=Fn(100,100)}catch(r){K("humangl error: cannot create canvas:",r);return}try{if(St.gl=St.canvas.getContext("webgl2",St.webGLattr),!St.gl){K("humangl error: cannot get webgl context");return}if(!St.gl.getParameter(St.gl.VERSION).includes("2.0")){K("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}St.canvas&&(St.canvas.addEventListener("webglcontextlost",s=>{throw K("humangl error:",s.type),K("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),St.canvas.addEventListener("webglcontextrestored",s=>{K("humangl error: context restored:",s)}),St.canvas.addEventListener("webglcontextcreationerror",s=>{K("humangl error: context create:",s)}))}catch(r){K("humangl error: cannot get webgl context:",r);return}try{Zh(2,St.gl)}catch(r){K("humangl error: cannot set webgl context:",r);return}try{let r=new _l(St.gl);Go(St.name,()=>new Bu(r),St.priority)}catch(r){K("humangl error: cannot register webgl backend:",r);return}try{Jn("webgl").forEach(s=>{let i={...s,backendName:St.name};yn(i)})}catch(r){K("humangl error: cannot update webgl backend registration:",r);return}try{W().flagRegistry.WEBGL_VERSION&&W().set("WEBGL_VERSION",2)}catch(r){K("humangl error: cannot set WebGL backend flags:",r);return}j2e();let a=nr(),n=typeof a.gpgpu!="undefined"?a.getGPGPUContext().gl:null;n?e.config.debug&&K("humangl backend registered:",{webgl:n.getParameter(n.VERSION),renderer:n.getParameter(n.RENDERER)}):K("humangl error: no current gl context:",n,St.gl)}}var ze={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function Rk(){ze.tf255=Ue(255,"float32"),ze.tf1=Ue(1,"float32"),ze.tf2=Ue(2,"float32"),ze.tf05=Ue(.5,"float32"),ze.tf127=Ue(127.5,"float32"),ze.rgb=jt([.2989,.587,.114],"float32")}async function K2e(){var e;return await ne.updateBackend(),(e=ne.tensorflow)!=null&&e.version?"tensorflow":ne.webgpu.supported&&ne.webgpu.backend?"webgpu":ne.webgl.supported&&ne.webgl.backend?"webgl":ne.wasm.supported&&ne.wasm.backend?"wasm":"cpu"}function Y2e(e){let t=[];if(!ne.kernels.includes("mod")){let a={kernelName:"Mod",backendName:ha(),kernelFunc:n=>Pe(()=>ye(n.inputs.a,te(ve(n.inputs.a,n.inputs.b),n.inputs.b)))};yn(a),ne.kernels.push("mod"),t.push("mod")}if(!ne.kernels.includes("floormod")){let a={kernelName:"FloorMod",backendName:ha(),kernelFunc:n=>Pe(()=>ke(te(Rp(n.inputs.a,n.inputs.b),n.inputs.b),_u(n.inputs.a,n.inputs.b)))};yn(a),ne.kernels.push("floormod"),t.push("floormod")}if(!ne.kernels.includes("rotatewithoffset")&&e.softwareKernels){let a={kernelName:"RotateWithOffset",backendName:ha(),kernelFunc:n=>Pe(()=>{let r=ha();Tp("cpu");let s=fe.rotateWithOffset(n.inputs.image,n.attrs.radians,n.attrs.fillValue,n.attrs.center);return Tp(r),s})};yn(a),ne.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&K("registered kernels:",t)}var Ek={};async function Jp(e,t=!1){var a,n;if(e.state="backend",((a=e.config.backend)==null?void 0:a.length)===0&&(e.config.backend=await K2e()),t||ne.initial||e.config.backend&&e.config.backend.length>0&&ha()!==e.config.backend){let r=ae();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&K("running inside web worker"),typeof navigator!="undefined"&&((n=navigator==null?void 0:navigator.userAgent)!=null&&n.toLowerCase().includes("electron"))&&e.config.debug&&K("running inside electron");let s=Object.keys(It().registryFactory);if(e.config.backend==="humangl"&&!s.includes("humangl")&&(Nk(e),s=Object.keys(It().registryFactory)),e.config.debug&&K("available backends:",s),ne.browser&&!ne.node&&e.config.backend==="tensorflow"&&s.includes("webgl")&&(e.config.debug&&K("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),ne.node&&!ne.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&s.includes("tensorflow")&&(e.config.debug&&K(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),ne.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")K("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let i=await navigator.gpu.requestAdapter();if(e.config.debug&&K("enumerated webgpu adapter:",i),!i)K("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let o="requestAdapterInfo"in i?await i.requestAdapterInfo():void 0;K("webgpu adapter info:",o)}}if(s.includes(e.config.backend)||(K(`error: backend ${e.config.backend} not found in registry`),e.config.backend=ne.node?"tensorflow":"webgl",e.config.debug&&K(`override: setting backend ${e.config.backend}`)),e.config.debug&&K("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(W().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&W().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&K("wasm path:",e.config.wasmPath),typeof n0!="undefined")n0(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let i=!1,o=!1;try{i=await W().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),o=await W().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&K(`wasm execution: ${o?"simd":"no simd"} ${i?"multithreaded":"singlethreaded"}`),e.config.debug&&!o&&K("warning: wasm simd support is not enabled")}catch(l){K("wasm detection failed")}}try{await Tp(e.config.backend),await Np()}catch(i){return K("error: cannot set backend:",e.config.backend,i),!1}e.config.debug&&(Ek=JSON.parse(JSON.stringify(W().flags)))}if((ha()==="humangl"||ha()==="webgl")&&(W().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&W().set("WEBGL_USE_SHAPES_UNIFORMS",!0),W().flagRegistry.WEBGL_EXP_CONV&&W().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(K("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),W().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),ha(),e.config.debug){let s=W().flags,i={};for(let o of Object.keys(s))Ek[o]!==s[o]&&(i[o]=s[o]);e.config.debug&&Object.keys(i).length>0&&K("backend:",ha(),"flags:",i)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&K("flags:",e.config.flags);for(let[s,i]of Object.entries(e.config.flags))W().set(s,i)}K1(),Rk(),e.performance.initBackend=Math.trunc(ae()-r),e.config.backend=ha(),await ne.updateBackend(),Y2e(e.config)}return!0}function m0(e,t){for(let a of e){let n={kernelName:a,backendName:t.backend,kernelFunc:r=>{var s;return t.debug&&K("kernelFunc",a,t.backend,r),(s=r==null?void 0:r.inputs)==null?void 0:s.info}};yn(n)}ne.kernels=Jn(ha()).map(a=>a.kernelName.toLowerCase())}var v0={};yr(v0,{all:()=>T1e,body:()=>y0,canvas:()=>C1e,face:()=>g0,gesture:()=>b0,hand:()=>x0,init:()=>Kg,object:()=>A0,options:()=>Dt,person:()=>S1e});var An=e=>{if(!e)K("draw error: invalid canvas");else if(!e.getContext)K("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)K("draw error: cannot get canvas context");else return t}return null},el=e=>Math.round(e*180/Math.PI),ut=(e,t,a)=>e.replace(t,typeof a=="number"?a.toFixed(1):a),tl=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let a=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${a[0]}, ${a[1]}, ${a[2]}, ${t.alpha})`};function bn(e,t,a,n,r){let s=t.replace(/\[.*\]/g,"").split(` +`).map(o=>o.trim()),i=Math.max(0,a);for(let o=s.length-1;o>=0;o--){let l=o*r.lineHeight+n;r.shadowColor&&r.shadowColor!==""&&(e.fillStyle=r.shadowColor,e.fillText(s[o],i+5,l+16)),e.fillStyle=r.labelColor,e.fillText(s[o],i+4,l+15)}}function lr(e,t,a,n,r){e.fillStyle=tl(n,r),e.beginPath(),e.arc(t,a,r.pointSize,0,2*Math.PI),e.fill()}function ur(e,t,a,n,r,s){if(e.beginPath(),e.lineWidth=s.lineWidth,s.useCurves){let i=(t+t+n)/2,o=(a+a+r)/2;e.ellipse(i,o,n/2,r/2,0,0,2*Math.PI)}else e.moveTo(t+s.roundRect,a),e.lineTo(t+n-s.roundRect,a),e.quadraticCurveTo(t+n,a,t+n,a+s.roundRect),e.lineTo(t+n,a+r-s.roundRect),e.quadraticCurveTo(t+n,a+r,t+n-s.roundRect,a+r),e.lineTo(t+s.roundRect,a+r),e.quadraticCurveTo(t,a+r,t,a+r-s.roundRect),e.lineTo(t,a+s.roundRect),e.quadraticCurveTo(t,a,t+s.roundRect,a),e.closePath();e.stroke()}function Ug(e,t,a){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=tl(n[2]||0,a),e.lineTo(Math.trunc(n[0]),Math.trunc(n[1]));e.stroke(),a.fillPolygons&&(e.closePath(),e.fill())}}function Fk(e,t,a){if(!(t.length<2)){if(e.lineWidth=a.lineWidth,!a.useCurves||t.length<=2){Ug(e,t,a);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;nQp[e]),$Ae=J2e.map(e=>Qp[e]),DAe=Q2e.map(e=>Qp[e]);function hs(e){let t=e.map(a=>a[0]);return t.push(e[e.length-1][1]),t}var e1e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],t1e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],a1e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],n1e=[[474,475],[475,476],[476,477],[477,474]],r1e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],s1e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],i1e=[[469,470],[470,471],[471,472],[472,469]],o1e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],PAe={lips:hs(e1e),leftEye:hs(t1e),leftEyebrow:hs(a1e),leftIris:hs(n1e),rightEye:hs(r1e),rightEyebrow:hs(s1e),rightIris:hs(i1e),faceOval:hs(o1e)};var l1e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],u1e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],d1e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],p1e=[[474,475],[475,476],[476,477],[477,474]],c1e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],h1e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],f1e=[[469,470],[470,471],[471,472],[472,469]],m1e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function fs(e){let t=e.map(a=>a[0]);return t.push(e[e.length-1][1]),t}var g1e={lips:fs(l1e),leftEye:fs(u1e),leftEyebrow:fs(d1e),leftIris:fs(p1e),rightEye:fs(c1e),rightEyebrow:fs(h1e),rightIris:fs(f1e),faceOval:fs(m1e)},y1e=Object.entries(g1e).map(([e,t])=>t.map(a=>[a,e])).flat(),OAe=new Map(y1e),ec=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],rl=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],sl=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var rt;function x1e(e,t){var n,r,s,i,o,l,u,p,c;if(!rt.drawLabels||((n=rt.faceLabels)==null?void 0:n.length)===0)return;let a=rt.faceLabels.slice();if(a=ut(a,"[id]",e.id.toFixed(0)),e.score&&(a=ut(a,"[score]",100*e.score)),e.gender&&(a=ut(a,"[gender]",e.gender)),e.genderScore&&(a=ut(a,"[genderScore]",100*e.genderScore)),e.age&&(a=ut(a,"[age]",e.age)),e.distance&&(a=ut(a,"[distance]",100*e.distance)),e.real&&(a=ut(a,"[real]",100*e.real)),e.live&&(a=ut(a,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let d=e.emotion.map(h=>`${Math.trunc(100*h.score)}% ${h.emotion}`);d.length>3&&(d.length=3),a=ut(a,"[emotions]",d.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(a=ut(a,"[roll]",el(e.rotation.angle.roll))),(o=(i=e.rotation)==null?void 0:i.angle)!=null&&o.yaw&&(a=ut(a,"[yaw]",el(e.rotation.angle.yaw))),(u=(l=e.rotation)==null?void 0:l.angle)!=null&&u.pitch&&(a=ut(a,"[pitch]",el(e.rotation.angle.pitch))),(c=(p=e.rotation)==null?void 0:p.gaze)!=null&&c.bearing&&(a=ut(a,"[gaze]",el(e.rotation.gaze.bearing))),bn(t,a,e.box[0],e.box[1],rt)}function A1e(e,t){var a,n,r,s;if((a=e.annotations)!=null&&a.leftEyeIris&&((n=e.annotations)!=null&&n.leftEyeIris[0])){t.strokeStyle=rt.useDepth?"rgba(255, 200, 255, 0.3)":rt.color,t.beginPath();let i=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,o=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],i,o,0,0,2*Math.PI),t.stroke(),rt.fillPolygons&&(t.fillStyle=rt.useDepth?"rgba(255, 255, 200, 0.3)":rt.color,t.fill())}if((r=e.annotations)!=null&&r.rightEyeIris&&((s=e.annotations)!=null&&s.rightEyeIris[0])){t.strokeStyle=rt.useDepth?"rgba(255, 200, 255, 0.3)":rt.color,t.beginPath();let i=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,o=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],i,o,0,0,2*Math.PI),t.stroke(),rt.fillPolygons&&(t.fillStyle=rt.useDepth?"rgba(255, 255, 200, 0.3)":rt.color,t.fill())}}function b1e(e,t){var a;if(rt.drawGaze&&((a=e.rotation)!=null&&a.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let n=e.box[0]+e.box[2]/2-e.box[3]*el(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*el(e.rotation.angle.pitch)/90,s=new Path2D(` M ${e.box[0]+e.box[2]/2} ${e.box[1]} C ${n} ${e.box[1]}, @@ -7558,7 +8577,7 @@ return a / b;`,jK=` ${e.box[0]} ${r}, ${e.box[0]+e.box[2]} ${r}, ${e.box[0]+e.box[2]} ${e.box[1]+e.box[3]/2} - `);t.stroke(i),t.stroke(s)}}function Fhe(e,t){var a;if(tt.drawGaze&&((a=e.rotation)!=null&&a.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let n=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];Y3(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[n[0],n[1]],4);let r=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];Y3(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[r[0],r[1]],4)}}function Ohe(e,t){if(tt.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let a=0;ae.mesh[r]);Z3(t,n,tt)}_he(e,t)}}function Dhe(e,t){if(tt.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let a=0;a0&&(Dhe(r,n),Ohe(r,n),Phe(r,n),Fhe(r,n))}}function Zh(e,t,a){var s,i;let n=Nt(_t,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round";for(let o=0;o0)){let l=n.bodyLabels.slice();l=it(l,"[id]",t[o].id.toFixed(0)),l=it(l,"[score]",100*t[o].score),bn(r,l,t[o].box[0],t[o].box[1],n)}if(n.drawPoints&&t[o].keypoints)for(let l=0;l0&&t[o].keypoints){r.font=n.font;for(let l of t[o].keypoints){if(!l.score||l.score===0)continue;let u=n.bodyPartLabels.slice();u=it(u,"[label]",l.part),u=it(u,"[score]",100*l.score),bn(r,u,l.position[0],l.position[1],n)}}if(n.drawPolygons&&t[o].keypoints&&t[o].annotations)for(let l of Object.values(t[o].annotations))for(let u of l)c9(r,u,n)}}}function Yh(e,t,a){var s,i;let n=Nt(_t,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let o of t){if(n.drawBoxes){if(r.strokeStyle=n.color,r.fillStyle=n.color,ir(r,o.box[0],o.box[1],o.box[2],o.box[3],n),n.drawLabels&&((s=n.handLabels)==null?void 0:s.length)>0){let l=n.handLabels.slice();l=it(l,"[id]",o.id.toFixed(0)),l=it(l,"[label]",o.label),l=it(l,"[score]",100*o.score),bn(r,l,o.box[0],o.box[1],n)}r.stroke()}if(n.drawPoints&&o.keypoints&&o.keypoints.length>0)for(let l of o.keypoints)r.fillStyle=Co(l[2],n),sr(r,l[0],l[1],0,n);if(n.drawLabels&&o.annotations&&((i=n.fingerLabels)==null?void 0:i.length)>0)for(let[l,u]of Object.entries(o.annotations)){let p=n.fingerLabels.slice();p=it(p,"[label]",l),bn(r,p,u[u.length-1][0],u[u.length-1][1],n)}if(n.drawPolygons&&o.annotations){let l=u=>{if(!(!u||u.length===0||!u[0]))for(let p=0;p0?p-1:0][0],u[p>0?p-1:0][1]),r.lineTo(u[p][0],u[p][1]),r.stroke()}};r.lineWidth=n.lineWidth,l(o.annotations.index),l(o.annotations.middle),l(o.annotations.ring),l(o.annotations.pinky),l(o.annotations.thumb)}}}}function Jh(e,t,a){var s;let n=Nt(_t,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let i of t)if(n.drawBoxes){if(r.strokeStyle=n.color,r.fillStyle=n.color,ir(r,i.box[0],i.box[1],i.box[2],i.box[3],n),n.drawLabels&&((s=n.objectLabels)==null?void 0:s.length)>0){let o=n.objectLabels.slice();o=it(o,"[id]",i.id.toFixed(0)),o=it(o,"[label]",i.label),o=it(o,"[score]",100*i.score),bn(r,o,i.box[0],i.box[1],n)}r.stroke()}}}function Qh(e,t,a){var r;let n=Nt(_t,a);if(!(!t||!e)&&n.drawGestures&&((r=n.gestureLabels)==null?void 0:r.length)>0){let s=An(e);if(!s)return;s.font=n.font,s.fillStyle=n.color;let i=1;for(let o=0;o1&&u[1].length>0){let p=l[1]>0?`#${l[1]}`:"",c=n.gestureLabels.slice();c=it(c,"[where]",l[0]),c=it(c,"[who]",p),c=it(c,"[what]",u[1]),bn(s,c,8,2+i*n.lineHeight,n),i+=1}}}}var cs={face:`face + `);t.stroke(i),t.stroke(s)}}function v1e(e,t){var a;if(rt.drawGaze&&((a=e.rotation)!=null&&a.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let n=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];Gg(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[n[0],n[1]],4);let r=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];Gg(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[r[0],r[1]],4)}}function w1e(e,t){if(rt.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let a=0;ae.mesh[r]);Ug(t,n,rt)}A1e(e,t)}}function k1e(e,t){if(rt.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let a=0;a0&&(k1e(r,n),w1e(r,n),b1e(r,n),v1e(r,n))}}function y0(e,t,a){var s,i;let n=Et(Dt,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round";for(let o=0;o0)){let l=n.bodyLabels.slice();l=ut(l,"[id]",t[o].id.toFixed(0)),l=ut(l,"[score]",100*t[o].score),bn(r,l,t[o].box[0],t[o].box[1],n)}if(n.drawPoints&&t[o].keypoints)for(let l=0;l0&&t[o].keypoints){r.font=n.font;for(let l of t[o].keypoints){if(!l.score||l.score===0)continue;let u=n.bodyPartLabels.slice();u=ut(u,"[label]",l.part),u=ut(u,"[score]",100*l.score),bn(r,u,l.position[0],l.position[1],n)}}if(n.drawPolygons&&t[o].keypoints&&t[o].annotations)for(let l of Object.values(t[o].annotations))for(let u of l)Fk(r,u,n)}}}function x0(e,t,a){var s,i;let n=Et(Dt,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let o of t){if(n.drawBoxes){if(r.strokeStyle=n.color,r.fillStyle=n.color,ur(r,o.box[0],o.box[1],o.box[2],o.box[3],n),n.drawLabels&&((s=n.handLabels)==null?void 0:s.length)>0){let l=n.handLabels.slice();l=ut(l,"[id]",o.id.toFixed(0)),l=ut(l,"[label]",o.label),l=ut(l,"[score]",100*o.score),bn(r,l,o.box[0],o.box[1],n)}r.stroke()}if(n.drawPoints&&o.keypoints&&o.keypoints.length>0)for(let l of o.keypoints)r.fillStyle=tl(l[2],n),lr(r,l[0],l[1],0,n);if(n.drawLabels&&o.annotations&&((i=n.fingerLabels)==null?void 0:i.length)>0)for(let[l,u]of Object.entries(o.annotations)){let p=n.fingerLabels.slice();p=ut(p,"[label]",l),bn(r,p,u[u.length-1][0],u[u.length-1][1],n)}if(n.drawPolygons&&o.annotations){let l=u=>{if(!(!u||u.length===0||!u[0]))for(let p=0;p0?p-1:0][0],u[p>0?p-1:0][1]),r.lineTo(u[p][0],u[p][1]),r.stroke()}};r.lineWidth=n.lineWidth,l(o.annotations.index),l(o.annotations.middle),l(o.annotations.ring),l(o.annotations.pinky),l(o.annotations.thumb)}}}}function A0(e,t,a){var s;let n=Et(Dt,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let i of t)if(n.drawBoxes){if(r.strokeStyle=n.color,r.fillStyle=n.color,ur(r,i.box[0],i.box[1],i.box[2],i.box[3],n),n.drawLabels&&((s=n.objectLabels)==null?void 0:s.length)>0){let o=n.objectLabels.slice();o=ut(o,"[id]",i.id.toFixed(0)),o=ut(o,"[label]",i.label),o=ut(o,"[score]",100*i.score),bn(r,o,i.box[0],i.box[1],n)}r.stroke()}}}function b0(e,t,a){var r;let n=Et(Dt,a);if(!(!t||!e)&&n.drawGestures&&((r=n.gestureLabels)==null?void 0:r.length)>0){let s=An(e);if(!s)return;s.font=n.font,s.fillStyle=n.color;let i=1;for(let o=0;o1&&u[1].length>0){let p=l[1]>0?`#${l[1]}`:"",c=n.gestureLabels.slice();c=ut(c,"[where]",l[0]),c=ut(c,"[who]",p),c=ut(c,"[what]",u[1]),bn(s,c,8,2+i*n.lineHeight,n),i+=1}}}}var ms={face:`face confidence: [score]% [gender] [genderScore]% age: [age] years @@ -7567,7 +8586,7 @@ return a / b;`,jK=` live: [live]% [emotions] roll: [roll]\xB0 yaw:[yaw]\xB0 pitch:[pitch]\xB0 - gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var tg=0;function Lhe(e,t,a){let n=Nt(_t,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let s=0;srg,kpt:()=>ng});var ng=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],rg={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var vn,$o=224,m9,Vhe=5,a0=[8,16,32,32,32];function Uhe(){let e=[],t=0;for(;ta.x)),y:Ht(e.map(a=>a.y))}}async function g9(e){if(ne.initial&&(vn=null),!vn&&e.body.detector&&e.body.detector.modelPath){vn=await Me(e.body.detector.modelPath);let t=vn!=null&&vn.executor?Object.values(vn.modelSignature.inputs):void 0;$o=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&vn&&K("cached model:",vn.modelUrl);return Uhe(),vn}var f9=[5,5];function Ghe(e,t){return Oe(()=>{let a=Sa(e,12,1),n=De(a[0]),r=De(a[1]),s=De(a[2]),i=De(a[3]);n=be(xe(n,$o),t.x),r=be(xe(r,$o),t.y),s=te(xe(s,$o),f9[0]),i=te(xe(i,$o),f9[1]);let o=me(n,xe(s,2)),l=me(r,xe(i,2)),u=be(o,s),p=be(l,i);return ua([o,l,u,p],1)})}async function Hhe(e,t,a,n){var u,p;let r=[],s={};s.boxes=Ghe(e,m9),s.scores=Ba(t),s.nms=await ce.nonMaxSuppressionAsync(s.boxes,s.scores,1,((u=a.body.detector)==null?void 0:u.minConfidence)||.1,((p=a.body.detector)==null?void 0:p.iouThreshold)||.1);let i=await s.nms.data(),o=await s.scores.data(),l=await s.boxes.array();for(let c of Array.from(i)){let d=o[c],h=l[c],f=[Math.round(h[0]*n[0]),Math.round(h[1]*n[1]),Math.round(h[2]*n[0]),Math.round(h[3]*n[1])],m={score:d,boxRaw:h,box:f};r.push(m)}return Object.keys(s).forEach(c=>J(s[c])),r}async function y9(e,t,a){let n={};n.res=vn==null?void 0:vn.execute(e,["Identity"]),n.logitsRaw=Fe(n.res,[0,0,0],[1,-1,1]),n.boxesRaw=Fe(n.res,[0,0,1],[1,-1,-1]),n.logits=De(n.logitsRaw),n.boxes=De(n.boxesRaw);let r=await Hhe(n.boxes,n.logits,t,a);return Object.keys(n).forEach(s=>J(n[s])),r}function hs(e,t=[1,1]){let a=[e.map(o=>o[0]),e.map(o=>o[1])],n=[Math.min(...a[0]),Math.min(...a[1])],r=[Math.max(...a[0]),Math.max(...a[1])],s=[n[0],n[1],r[0]-n[0],r[1]-n[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function x9(e,t=[1,1]){let a=[e.map(u=>u[0]),e.map(u=>u[1])],n=[Math.min(...a[0]),Math.min(...a[1])],r=[Math.max(...a[0]),Math.max(...a[1])],s=[(n[0]+r[0])/2,(n[1]+r[1])/2],i=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+r[0],-s[1]+r[1]),o=[Math.trunc(s[0]-i),Math.trunc(s[1]-i),Math.trunc(2*i),Math.trunc(2*i)],l=[o[0]/t[0],o[1]/t[1],o[2]/t[0],o[3]/t[1]];return{box:o,boxRaw:l}}function n0(e,t){let a=[e[2]*t,e[3]*t];return[e[0]-(a[0]-e[2])/2,e[1]-(a[1]-e[3])/2,a[0],a[1]]}var Ua,ig=256,sg=Number.MAX_SAFE_INTEGER,jhe={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},s0=[],fs=[[0,0],[0,0],[0,0],[0,0]],A9=0,b9=e=>1-1/(1+Math.exp(e)),k9=e=>g9(e);async function w9(e){if(ne.initial&&(Ua=null),Ua)e.debug&&K("cached model:",Ua.modelUrl);else{Ua=await Me(e.body.modelPath);let t=Ua!=null&&Ua.executor?Object.values(Ua.modelSignature.inputs):void 0;ig=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return Ua}function v9(e,t,a){var s,i;let n={};if(!((s=e==null?void 0:e.shape)!=null&&s[1])||!((i=e==null?void 0:e.shape)!=null&&i[2]))return e;let r;if(a&&(n.cropped=ce.cropAndResize(e,[a],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let o=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],l=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];fs=[[0,0],o,l,[0,0]],n.pad=rr(n.cropped||e,fs),n.resize=ce.resizeBilinear(n.pad,[t,t]),r=xe(n.resize,Le.tf255)}else e.shape[1]!==t?(n.resize=ce.resizeBilinear(n.cropped||e,[t,t]),r=xe(n.resize,Le.tf255)):r=xe(n.cropped||e,Le.tf255);return Object.keys(n).forEach(o=>J(n[o])),r}function qhe(e,t,a){for(let n of e)n.position=[Math.trunc(n.position[0]*(t[0]+fs[2][0]+fs[2][1])/t[0]-fs[2][0]),Math.trunc(n.position[1]*(t[1]+fs[1][0]+fs[1][1])/t[1]-fs[1][0]),n.position[2]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1],2*n.position[2]/(t[0]+t[1])];if(a){let n=a[2]-a[0],r=a[3]-a[1];for(let s of e)s.positionRaw=[s.positionRaw[0]/r+a[1],s.positionRaw[1]/n+a[0],s.positionRaw[2]],s.position=[Math.trunc(s.positionRaw[0]*t[0]),Math.trunc(s.positionRaw[1]*t[1]),s.positionRaw[2]]}return e}function Xhe(e){let t=e.find(o=>o.part==="leftPalm"),a=e.find(o=>o.part==="leftWrist"),n=e.find(o=>o.part==="leftIndex");t.position[2]=((a.position[2]||0)+(n.position[2]||0))/2;let r=e.find(o=>o.part==="rightPalm"),s=e.find(o=>o.part==="rightWrist"),i=e.find(o=>o.part==="rightIndex");r.position[2]=((s.position[2]||0)+(i.position[2]||0))/2}async function Khe(e,t,a){if(!(Ua!=null&&Ua.executor))return null;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=Ua==null?void 0:Ua.execute(e,jhe.landmarks);let r=(await n.poseflag.data())[0],s=await n.ld.data(),i=await n.world.data();Object.keys(n).forEach(f=>J(n[f]));let o=[],l=5;for(let f=0;ff.position),c=hs(p,[a[0],a[1]]),d={};for(let[f,m]of Object.entries(rg)){let g=[];for(let y=0;yb.part===m[y]),A=u.find(b=>b.part===m[y+1]);x&&A&&g.push([x.position,A.position])}d[f]=g}return{id:0,score:Math.trunc(100*r)/100,box:c.box,boxRaw:c.boxRaw,keypoints:u,annotations:d}}async function og(e,t){var s,i,o;let a=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>ae()-A9,r=sg<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&s0!==null)sg++;else{let l=[];if((i=(s=t.body)==null?void 0:s.detector)!=null&&i.enabled){let u=v9(e,224);l=await y9(u,t,a),J(u)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let u=0;uJ(n[u])),r}async function dg(e,t){if(!(Ga!=null&&Ga.executor))return[];let a=(t.object.skipTime||0)>ae()-S9,n=ug<(t.object.skipFrames||0);return t.skipAllowed&&a&&n&&lg.length>0?(ug++,lg):(ug=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],i=ce.resizeBilinear(e,[_o,_o]),o=t.object.enabled?Ga==null?void 0:Ga.execute(i,["tower_0/detections"]):null;S9=ae(),J(i);let l=await Zhe(o,s,t);lg=l,r(l)}))}var i0={};fr(i0,{connected:()=>cg,kpt:()=>pg});var pg=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],cg={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var Et,N9=0,$a={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},hg=Number.MAX_SAFE_INTEGER;async function E9(e){return ne.initial&&(Et=null),Et?e.debug&&K("cached model:",Et.modelUrl):Et=await Me(e.body.modelPath),Et}async function Yhe(e,t){let[a,n]=e.shape,r=Q(e,[n*a]),s=fa(r,0),i=(await s.data())[0];if(i>t){let o=ar(r,0),l=su(o,a),u=(await l.data())[0],p=xe(o,a),c=(await p.data())[0];return J([r,s,o,l,p]),[u,c,i]}return J([r,s]),[0,0,i]}async function fg(e,t){if(!(Et!=null&&Et.executor)||!(Et!=null&&Et.inputs[0].shape))return[];let a=(t.body.skipTime||0)>ae()-N9,n=hg<(t.body.skipFrames||0);return t.skipAllowed&&a&&n&&Object.keys($a.keypoints).length>0?(hg++,[$a]):(hg=0,new Promise(async r=>{let s=Oe(()=>{var f,m;let c=ce.resizeBilinear(e,[((f=Et==null?void 0:Et.inputs[0].shape)==null?void 0:f[2])||0,((m=Et==null?void 0:Et.inputs[0].shape)==null?void 0:m[1])||0],!1),d=te(c,Le.tf2);return me(d,Le.tf1)}),i;if(t.body.enabled&&(i=Et==null?void 0:Et.execute(s)),N9=ae(),J(s),i){$a.keypoints.length=0;let c=De(i);J(i);let d=Na(c,2);J(c);for(let h=0;h(t.body.minConfidence||0)&&$a.keypoints.push({score:Math.round(100*g)/100,part:pg[h],positionRaw:[f/Et.inputs[0].shape[2],m/Et.inputs[0].shape[1]],position:[Math.round(e.shape[2]*f/Et.inputs[0].shape[2]),Math.round(e.shape[1]*m/Et.inputs[0].shape[1])]})}d.forEach(h=>J(h))}$a.score=$a.keypoints.reduce((c,d)=>d.score>c?d.score:c,0);let o=$a.keypoints.map(c=>c.position[0]),l=$a.keypoints.map(c=>c.position[1]);$a.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let u=$a.keypoints.map(c=>c.positionRaw[0]),p=$a.keypoints.map(c=>c.positionRaw[1]);$a.boxRaw=[Math.min(...u),Math.min(...p),Math.max(...u)-Math.min(...u),Math.max(...p)-Math.min(...p)];for(let[c,d]of Object.entries(cg)){let h=[];for(let f=0;fy.part===d[f]),g=$a.keypoints.find(y=>y.part===d[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}$a.annotations[c]=h}r([$a])}))}var ku=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],o0=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],l0=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],u0=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],_9=(e,t,a)=>{let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],s=e.landmarks.map(i=>[(i[0]+a[0])*t[0],(i[1]+a[1])*t[1]]);return{startPoint:n,endPoint:r,landmarks:s,confidence:e.confidence}},mg=(e,t,a)=>{let n=t.shape[1],r=t.shape[2],s=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],i=ce.cropAndResize(t,[s],[0],a),o=xe(i,Le.tf255);return J(i),o},d0=(e,t)=>{let a=o0(e),n=ku(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[a[0]-r[0],a[1]-r[1]],endPoint:[a[0]+r[0],a[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence,size:n}},p0=e=>{let t=o0(e),a=ku(e),n=Math.max(...a)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(a[0]),Math.round(a[1])]}},P9=e=>{let t=e.map(n=>n[0]),a=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...a)],endPoint:[Math.max(...t),Math.max(...a)],landmarks:e}},gg=[[1,0,0],[0,1,0],[0,0,1]],Jhe=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Qhe=(e,t)=>Jhe(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var M9=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Po=(e,t)=>{let a=0;for(let n=0;n{let a=[];for(let n=0;n{let a=[],n=e.length;for(let r=0;r{let a=Math.cos(e),n=Math.sin(e),r=[[a,-n,0],[n,a,0],[0,0,1]],s=M9(t[0],t[1]),i=$9(s,r),o=M9(-t[0],-t[1]);return $9(i,o)},t0e=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],a=[e[0][2],e[1][2]],n=[-Po(t[0],a),-Po(t[1],a)];return[t[0].concat(n[0]),t[1].concat(n[1]),[0,0,1]]},a0e=(e,t)=>[Po(e,t[0]),Po(e,t[1])];function O9(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},a=[];for(let n=0;n[s[0]/r*(h[0]-r/2),s[1]/r*(h[1]-r/2),h[2]||0]),o=a&&a!==0&&Math.abs(a)>.2,l=o?F9(a,[0,0]):gg,u=o?i.map(h=>[...a0e(h,l),h[2]]):i,p=o?t0e(n):gg,c=o0(t),d=[Po(c,p[0]),Po(c,p[1])];return u.map(h=>[Math.trunc(h[0]+d[0]),Math.trunc(h[1]+d[1]),Math.trunc(h[2]||0)])}function z9(e,t,a,n){let r=t.landmarks.length>=J3.count?J3.symmetryLine:No.symmetryLine,s=0,i=gg,o;if(e&&ne.kernels.includes("rotatewithoffset"))if(s=Qhe(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let u=o0(t),p=[u[0]/a.shape[2],u[1]/a.shape[1]],c=ce.rotateWithOffset(a,s,0,[p[0],p[1]]);i=F9(-s,u),o=mg(t,c,[n,n]),J(c)}else o=mg(t,a,[n,n]);else o=mg(t,a,[n,n]);return[s,i,o]}var n0e=e=>{let t=e.map(n=>n[0]),a=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...a)+(Math.max(...a)-Math.min(...a))/2]},L9=(e,t)=>{let a=n0e(e),n=ku(t);return{startPoint:[a[0]-n[0]/2,a[1]-n[1]/2],endPoint:[a[0]+n[0]/2,a[1]+n[1]/2]}};var B9=6,r0e=1.4,Ln,c0=null,ms=0,wu=null,W9=()=>ms;async function V9(e){var t;return ne.initial&&(Ln=null),Ln?e.debug&&K("cached model:",Ln.modelUrl):Ln=await Me((t=e.face.detector)==null?void 0:t.modelPath),ms=Ln.executor&&Ln.inputs[0].shape?Ln.inputs[0].shape[2]:256,wu=ze(ms,"int32"),c0=Kn(O9(ms)),Ln}function s0e(e){if(!c0||!wu)return gn([0,0]);let t={};t.boxStarts=Fe(e,[0,1],[-1,2]),t.centers=be(t.boxStarts,c0),t.boxSizes=Fe(e,[0,3],[-1,2]),t.boxSizesNormalized=xe(t.boxSizes,wu),t.centersNormalized=xe(t.centers,wu),t.halfBoxSize=xe(t.boxSizesNormalized,Le.tf2),t.starts=me(t.centersNormalized,t.halfBoxSize),t.ends=be(t.centersNormalized,t.halfBoxSize),t.startNormalized=te(t.starts,wu),t.endNormalized=te(t.ends,wu);let a=ru([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>J(t[n])),a}async function U9(e,t){var o,l,u,p,c,d;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let a={};a.resized=ce.resizeBilinear(e,[ms,ms]),a.div=xe(a.resized,Le.tf127),a.normalized=me(a.div,Le.tf05);let n=Ln==null?void 0:Ln.execute(a.normalized);if(Array.isArray(n)&&n.length>2){let h=n.sort((f,m)=>f.size-m.size);a.concat384=st([h[0],h[2]],2),a.concat512=st([h[1],h[3]],2),a.concat=st([a.concat512,a.concat384],1),a.batch=De(a.concat,[0])}else Array.isArray(n)?a.batch=De(n[0]):a.batch=De(n);J(n),a.boxes=s0e(a.batch),a.logits=Fe(a.batch,[0,0],[-1,1]),a.sigmoid=Ba(a.logits),a.scores=De(a.sigmoid),a.nms=await ce.nonMaxSuppressionAsync(a.boxes,a.scores,((o=t.face.detector)==null?void 0:o.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let r=await a.nms.array(),s=[],i=await a.scores.data();for(let h=0;h(((p=t.face.detector)==null?void 0:p.minConfidence)||0)){let m={};m.bbox=Fe(a.boxes,[r[h],0],[1,-1]),m.slice=Fe(a.batch,[r[h],B9-1],[1,-1]),m.squeeze=De(m.slice),m.landmarks=Q(m.squeeze,[B9,-1]);let g=await m.bbox.data(),y={startPoint:[g[0],g[1]],endPoint:[g[2],g[3]],landmarks:await m.landmarks.array(),confidence:f};m.anchor=Fe(c0,[r[h],0],[1,2]);let x=await m.anchor.data(),A=_9(y,[(e.shape[2]||0)/ms,(e.shape[1]||0)/ms],x),b=d0(A,t.face.scale||r0e),k=p0(b);k.size[0]>(((c=t.face.detector)==null?void 0:c.minSize)||0)&&k.size[1]>(((d=t.face.detector)==null?void 0:d.minSize)||0)&&s.push(k),Object.keys(m).forEach(S=>J(m[S]))}}return Object.keys(a).forEach(h=>J(a[h])),s}var an,gs=0,i0e=2.3,xg=Mn.leftEyeLower0,Ag=Mn.rightEyeLower0,Iu={leftBounds:[xg[0],xg[xg.length-1]],rightBounds:[Ag[0],Ag[Ag.length-1]]},Su={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function X9(e){var t,a;return ne.initial&&(an=null),an?e.debug&&K("cached model:",an.modelUrl):an=await Me((t=e.face.iris)==null?void 0:t.modelPath),gs=an!=null&&an.executor&&((a=an.inputs)!=null&&a[0].shape)?an.inputs[0].shape[2]:0,gs===-1&&(gs=64),an}function h0(e,t,a,n){for(let r=0;r{let t=e[Iu.leftBounds[0]][2],a=e[Iu.rightBounds[0]][2];return t-a},H9=(e,t,a,n,r,s=!1)=>{let i=p0(d0(P9([e[a],e[n]]),i0e)),o=ku(i),l=ce.cropAndResize(t,[[i.startPoint[1]/r,i.startPoint[0]/r,i.endPoint[1]/r,i.endPoint[0]/r]],[0],[gs,gs]);if(s&&ne.kernels.includes("flipleftright")){let u=ce.flipLeftRight(l);J(l),l=u}return{box:i,boxSize:o,crop:l}},j9=(e,t,a,n=!1)=>{let r=[];for(let s=0;s{let n=e[Mn[`${a}EyeUpper0`][Su.upperCenter]][2],r=e[Mn[`${a}EyeLower0`][Su.lowerCenter]][2],s=(n+r)/2;return t.map((i,o)=>{let l=s;return o===2?l=n:o===4&&(l=r),[i[0],i[1],l]})};async function K9(e,t,a){if(!(an!=null&&an.executor))return e;let{box:n,boxSize:r,crop:s}=H9(e,t,Iu.leftBounds[0],Iu.leftBounds[1],a,!0),{box:i,boxSize:o,crop:l}=H9(e,t,Iu.rightBounds[0],Iu.rightBounds[1],a,!0),u=st([s,l]);J(s),J(l);let p=an.execute(u);J(u);let c=await p.data();J(p);let d=c.slice(0,Su.numCoordinates*3),{rawCoords:h,iris:f}=j9(d,n,r,!0),m=c.slice(Su.numCoordinates*3),{rawCoords:g,iris:y}=j9(m,i,o,!1),x=o0e(e);Math.abs(x)<30?(h0(e,h,"left",null),h0(e,g,"right",null)):x<1?h0(e,h,"left",["EyeUpper0","EyeLower0"]):h0(e,g,"right",["EyeUpper0","EyeLower0"]);let A=q9(e,f,"left"),b=q9(e,y,"right");return e.concat(A).concat(b)}async function Y9(e,t){var s,i,o,l,u,p,c,d,h,f;let a={lips:await((i=(s=t.filter(m=>m.size===160))==null?void 0:s[0])==null?void 0:i.data()),irisL:await((l=(o=t.filter(m=>m.size===10))==null?void 0:o[0])==null?void 0:l.data()),eyeL:await((p=(u=t.filter(m=>m.size===142))==null?void 0:u[0])==null?void 0:p.data()),irisR:await((d=(c=t.filter(m=>m.size===10))==null?void 0:c[1])==null?void 0:d.data()),eyeR:await((f=(h=t.filter(m=>m.size===142))==null?void 0:h[1])==null?void 0:f.data())};for(let m of Object.values(a))if(!m)return e;let n=Ro.reduce((m,g)=>m+=e[g][2],0)/Ro.length;for(let m=0;mm+=e[g][2],0)/Mo.length;for(let m=0;mae()-or.timestamp,n=or.skipped<(((u=t.face.detector)==null?void 0:u.skipFrames)||0);!t.skipAllowed||!a||!n||or.boxes.length===0?(or.boxes=await U9(e,t),or.timestamp=ae(),or.skipped=0):or.skipped++;let r=[],s=[],i=0,o=Tp;for(let x=0;x[C[0]/(e.shape[2]||0),C[1]/(e.shape[1]||0),(C[2]||0)/o]);for(let C of Object.keys(No))S.annotations[C]=[S.mesh[No[C]]]}else if(!wt)t.debug&&K("face mesh detection requested, but model is not loaded");else{if((h=t.face.attention)!=null&&h.enabled&&!ne.kernels.includes("atan2"))return t.face.attention.enabled=!1,J(S.tensor),r;let C=wt.execute(S.tensor),$=await C.find(M=>M.shape[M.shape.length-1]===1).data();if(S.faceScore=Math.round(100*$[0])/100,S.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(A.confidence=S.faceScore,t.face.mesh.keepInvalid){S.box=l0(A,e),S.boxRaw=u0(A,e),S.score=S.boxScore,S.mesh=A.landmarks,S.meshRaw=S.mesh.map(M=>[M[0]/(e.shape[2]||1),M[1]/(e.shape[1]||1),(M[2]||0)/o]);for(let M of Object.keys(No))S.annotations[M]=[S.mesh[No[M]]]}}else{let M=C.find(D=>D.shape[D.shape.length-1]===1404),R=Q(M,[-1,3]),I=await R.array();J(R),(m=t.face.attention)!=null&&m.enabled?I=await Y9(I,C):(g=t.face.iris)!=null&&g.enabled&&(I=await K9(I,S.tensor,Tp)),S.mesh=D9(I,A,b,k,Tp),S.meshRaw=S.mesh.map(D=>[D[0]/(e.shape[2]||0),D[1]/(e.shape[1]||0),(D[2]||0)/o]);for(let D of Object.keys(Mn))S.annotations[D]=Mn[D].map(W=>S.mesh[W]);S.score=S.faceScore;let _={...L9(S.mesh,A),confidence:A.confidence,landmarks:A.landmarks,size:A.size};S.box=l0(_,e),S.boxRaw=u0(_,e),s.push(_)}J(C)}S.score>(((y=t.face.detector)==null?void 0:y.minConfidence)||1)?r.push(S):J(S.tensor)}return or.boxes=s,r}async function Q9(e){var t,a,n,r,s,i;return ne.initial&&(wt=null),(t=e.face.attention)!=null&&t.enabled&&(wt!=null&&wt.signature)&&Object.keys(((a=wt==null?void 0:wt.signature)==null?void 0:a.outputs)||{}).length<6&&(wt=null),wt?e.debug&&K("cached model:",wt.modelUrl):(n=e.face.attention)!=null&&n.enabled?wt=await Me(e.face.attention.modelPath):wt=await Me((r=e.face.mesh)==null?void 0:r.modelPath),Tp=wt.executor&&((s=wt==null?void 0:wt.inputs)!=null&&s[0].shape)?(i=wt==null?void 0:wt.inputs)==null?void 0:i[0].shape[2]:256,wt}var ek=Eo,tk=Ip;var kg=[],ta,f0=[],ak=0,nk=0,vg=Number.MAX_SAFE_INTEGER,wg=!1;async function rk(e){var t,a,n;return ne.initial&&(ta=null),ta?e.debug&&K("cached model:",ta.modelUrl):(ta=await Me((t=e.face.emotion)==null?void 0:t.modelPath),wg=((n=(a=ta==null?void 0:ta.inputs)==null?void 0:a[0].shape)==null?void 0:n[3])===3,wg?kg=["angry","disgust","fear","happy","neutral","sad","surprise"]:kg=["angry","disgust","fear","happy","sad","surprise","neutral"]),ta}async function Ig(e,t,a,n){var i,o;if(!ta)return[];let r=vg<(((i=t.face.emotion)==null?void 0:i.skipFrames)||0),s=(((o=t.face.emotion)==null?void 0:o.skipTime)||0)>ae()-nk;return t.skipAllowed&&s&&r&&ak===n&&f0[a]&&f0[a].length>0?(vg++,f0[a]):(vg=0,new Promise(async l=>{var p,c,d;let u=[];if((p=t.face.emotion)!=null&&p.enabled){let h={},f=ta!=null&&ta.inputs[0].shape?ta.inputs[0].shape[2]:0;if(((c=t.face.emotion)==null?void 0:c.crop)>0){let g=(d=t.face.emotion)==null?void 0:d.crop,y=[[g,g,1-g,1-g]];h.resize=ce.cropAndResize(e,y,[0],[f,f])}else h.resize=ce.resizeBilinear(e,[f,f],!1);wg?(h.mul=te(h.resize,255),h.normalize=me(h.mul,[103.939,116.779,123.68]),h.emotion=ta==null?void 0:ta.execute(h.normalize)):(h.channels=te(h.resize,Le.rgb),h.grayscale=rt(h.channels,3,!0),h.grayscaleSub=me(h.grayscale,Le.tf05),h.grayscaleMul=te(h.grayscaleSub,Le.tf2),h.emotion=ta==null?void 0:ta.execute(h.grayscaleMul)),nk=ae();let m=await h.emotion.data();for(let g=0;g(t.face.emotion.minConfidence||0)&&u.push({score:Math.min(.99,Math.trunc(100*m[g])/100),emotion:kg[g]});u.sort((g,y)=>y.score-g.score),Object.keys(h).forEach(g=>J(h[g]))}f0[a]=u,ak=n,l(u)}))}var aa,ys=[],ik=0,ok=0,Sg=Number.MAX_SAFE_INTEGER;async function lk(e){var t;return ne.initial&&(aa=null),aa?e.debug&&K("cached model:",aa.modelUrl):aa=await Me((t=e.face.description)==null?void 0:t.modelPath),aa}function u0e(e,t){var s,i;let a=e.image||e.tensor||e;if(!(aa!=null&&aa.inputs[0].shape))return a;let n;if(((s=t.face.description)==null?void 0:s.crop)>0){let o=(i=t.face.description)==null?void 0:i.crop,l=[[o,o,1-o,1-o]];n=ce.cropAndResize(a,l,[0],[aa.inputs[0].shape[2],aa.inputs[0].shape[1]])}else n=ce.resizeBilinear(a,[aa.inputs[0].shape[2],aa.inputs[0].shape[1]],!1);let r=te(n,Le.tf255);return J(n),r}async function Tg(e,t,a,n){var o,l,u,p;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(aa!=null&&aa.executor))return r;let s=Sg<(((o=t.face.description)==null?void 0:o.skipFrames)||0),i=(((l=t.face.description)==null?void 0:l.skipTime)||0)>ae()-ik;return t.skipAllowed&&s&&i&&ok===n&&((u=ys==null?void 0:ys[a])==null?void 0:u.age)>0&&((p=ys==null?void 0:ys[a])==null?void 0:p.genderScore)>0?(Sg++,ys[a]):(Sg=0,new Promise(async c=>{var d;if((d=t.face.description)!=null&&d.enabled){let h=u0e(e,t),f=aa==null?void 0:aa.execute(h);ik=ae(),J(h);let g=await f.find(N=>N.shape[1]===1).data(),y=Math.trunc(200*Math.abs(g[0]-.5))/100;y>(t.face.description.minConfidence||0)&&(r.gender=g[0]<=.5?"female":"male",r.genderScore=Math.min(.99,y));let x=ar(f.find(N=>N.shape[1]===100),1),A=(await x.data())[0];J(x);let k=await f.find(N=>N.shape[1]===100).data();r.age=Math.round(k[A-1]>k[A+1]?10*A-100*k[A-1]:10*A+100*k[A+1])/10,(Number.isNaN(g[0])||Number.isNaN(k[0]))&&K("faceres error:",{model:aa,result:f});let S=f.find(N=>N.shape[1]===1024),C=S?await S.data():[];r.descriptor=Array.from(C),f.forEach(N=>J(N))}ys[a]=r,ok=n,c(r)}))}var Tu=.1,Cg=.5;function d0e(e,t,a){let n=!1,r=a.length-1;for(let s=0;st!=a[r].y>t&&e<(a[r].x-a[s].x)*(t-a[s].y)/(a[r].y-a[s].y)+a[s].x&&(n=!n);return n}async function dk(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,a=e.tensor.shape[1]||0,n=await e.tensor.buffer(),r=[];for(let i of Mn.silhouette)r.push({x:(e.mesh[i][0]-e.box[0])/e.box[2],y:(e.mesh[i][1]-e.box[1])/e.box[3]});Tu&&Tu>0&&(r=r.map(i=>({x:i.x>.5?i.x+Tu:i.x-Tu,y:i.y>.5?i.y+Tu:i.y-Tu})));for(let i=0;iae()-ck,s=Ng<(((o=t.face.antispoof)==null?void 0:o.skipFrames)||0);return t.skipAllowed&&r&&s&&pk===n&&m0[a]?(Ng++,m0[a]):(Ng=0,new Promise(async l=>{let u=ce.resizeBilinear(e,[na!=null&&na.inputs[0].shape?na.inputs[0].shape[2]:0,na!=null&&na.inputs[0].shape?na.inputs[0].shape[1]:0],!1),p=na==null?void 0:na.execute(u),c=(await p.data())[0];m0[a]=Math.round(100*c)/100,pk=n,ck=ae(),J([u,p]),l(m0[a])}))}var ra,g0=[],Rg=Number.MAX_SAFE_INTEGER,mk=0,gk=0;async function yk(e){var t;return ne.initial&&(ra=null),ra?e.debug&&K("cached model:",ra.modelUrl):ra=await Me((t=e.face.liveness)==null?void 0:t.modelPath),ra}async function Mg(e,t,a,n){var i,o;if(!(ra!=null&&ra.executor))return 0;let r=(((i=t.face.liveness)==null?void 0:i.skipTime)||0)>ae()-gk,s=Rg<(((o=t.face.liveness)==null?void 0:o.skipFrames)||0);return t.skipAllowed&&r&&s&&mk===n&&g0[a]?(Rg++,g0[a]):(Rg=0,new Promise(async l=>{let u=ce.resizeBilinear(e,[ra!=null&&ra.inputs[0].shape?ra.inputs[0].shape[2]:0,ra!=null&&ra.inputs[0].shape?ra.inputs[0].shape[1]:0],!1),p=ra==null?void 0:ra.execute(u),c=(await p.data())[0];g0[a]=Math.round(100*c)/100,mk=n,gk=ae(),J([u,p]),l(g0[a])}))}var $n,$g=[],c0e=["white","black","asian","indian","other"],h0e=[15,23,28,35.5,45.5,55.5,65],Ak=0,bk=0,_g=Number.MAX_SAFE_INTEGER;async function vk(e){var t;return ne.initial&&($n=null),$n?e.debug&&K("cached model:",$n.modelUrl):$n=await Me((t=e.face.gear)==null?void 0:t.modelPath),$n}async function Pg(e,t,a,n){var i,o;if(!$n)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=_g<(((i=t.face.gear)==null?void 0:i.skipFrames)||0),s=(((o=t.face.gear)==null?void 0:o.skipTime)||0)>ae()-bk;return t.skipAllowed&&s&&r&&Ak===n&&$g[a]?(_g++,$g[a]):(_g=0,new Promise(async l=>{var y,x,A,b;if(!($n!=null&&$n.inputs[0].shape))return;let u={},p=[[0,.1,.9,.9]];if(((y=t.face.gear)==null?void 0:y.crop)>0){let k=(x=t.face.gear)==null?void 0:x.crop;p=[[k,k,1-k,1-k]]}u.resize=ce.cropAndResize(e,p,[0],[$n.inputs[0].shape[2],$n.inputs[0].shape[1]]);let c={age:0,gender:"unknown",genderScore:0,race:[]};(A=t.face.gear)!=null&&A.enabled&&([u.age,u.gender,u.race]=$n.execute(u.resize,["age_output","gender_output","race_output"]));let d=await u.gender.data();c.gender=d[0]>d[1]?"male":"female",c.genderScore=Math.round(100*(d[0]>d[1]?d[0]:d[1]))/100;let h=await u.race.data();for(let k=0;k(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&c.race.push({score:Math.round(100*h[k])/100,race:c0e[k]});c.race.sort((k,S)=>S.score-k.score);let m=Array.from(await u.age.data()).map((k,S)=>[h0e[S],k]).sort((k,S)=>S[1]-k[1]),g=m[0][0];for(let k=1;kJ(u[k])),$g[a]=c,Ak=n,bk=ae(),l(c)}))}var _a,y0=[],wk=0,Ik=0,Fg=Number.MAX_SAFE_INTEGER;async function Sk(e){return ne.initial&&(_a=null),_a?e.debug&&K("cached model:",_a.modelUrl):_a=await Me(e.face.ssrnet.modelPathAge),_a}async function Og(e,t,a,n){var i,o,l,u;if(!_a)return{age:0};let r=Fg<(((i=t.face.ssrnet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.ssrnet)==null?void 0:o.skipTime)||0)>ae()-Ik;return t.skipAllowed&&r&&s&&wk===n&&((l=y0[a])!=null&&l.age)&&((u=y0[a])==null?void 0:u.age)>0?(Fg++,y0[a]):(Fg=0,new Promise(async p=>{var h,f,m;if(!(_a!=null&&_a.inputs)||!_a.inputs[0]||!_a.inputs[0].shape)return;let c={};if(((h=t.face.ssrnet)==null?void 0:h.crop)>0){let g=(f=t.face.ssrnet)==null?void 0:f.crop,y=[[g,g,1-g,1-g]];c.resize=ce.cropAndResize(e,y,[0],[_a.inputs[0].shape[2],_a.inputs[0].shape[1]])}else c.resize=ce.resizeBilinear(e,[_a.inputs[0].shape[2],_a.inputs[0].shape[1]],!1);c.enhance=te(c.resize,Le.tf255);let d={age:0};if((m=t.face.ssrnet)!=null&&m.enabled&&(c.age=_a.execute(c.enhance)),c.age){let g=await c.age.data();d.age=Math.trunc(10*g[0])/10}Object.keys(c).forEach(g=>J(c[g])),y0[a]=d,wk=n,Ik=ae(),p(d)}))}var ya,x0=[],Ck=0,Nk=0,Dg=Number.MAX_SAFE_INTEGER,zg=[.2989,.587,.114];async function Ek(e){var t;return ne.initial&&(ya=null),ya?e.debug&&K("cached model:",ya.modelUrl):ya=await Me((t=e.face.ssrnet)==null?void 0:t.modelPathGender),ya}async function Lg(e,t,a,n){var i,o,l,u;if(!ya)return{gender:"unknown",genderScore:0};let r=Dg<(((i=t.face.ssrnet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.ssrnet)==null?void 0:o.skipTime)||0)>ae()-Nk;return t.skipAllowed&&r&&s&&Ck===n&&((l=x0[a])!=null&&l.gender)&&((u=x0[a])==null?void 0:u.genderScore)>0?(Dg++,x0[a]):(Dg=0,new Promise(async p=>{var f,m,g;if(!(ya!=null&&ya.inputs[0].shape))return;let c={};if(((f=t.face.ssrnet)==null?void 0:f.crop)>0){let y=(m=t.face.ssrnet)==null?void 0:m.crop,x=[[y,y,1-y,1-y]];c.resize=ce.cropAndResize(e,x,[0],[ya.inputs[0].shape[2],ya.inputs[0].shape[1]])}else c.resize=ce.resizeBilinear(e,[ya.inputs[0].shape[2],ya.inputs[0].shape[1]],!1);c.enhance=Oe(()=>{var x,A;let y;if(((A=(x=ya==null?void 0:ya.inputs)==null?void 0:x[0].shape)==null?void 0:A[3])===1){let[b,k,S]=Sa(c.resize,3,3),C=te(b,zg[0]),N=te(k,zg[1]),$=te(S,zg[2]),M=ph([C,N,$]);y=te(me(M,Le.tf05),2)}else y=te(me(c.resize,Le.tf05),2);return y});let d={gender:"unknown",genderScore:0};(g=t.face.ssrnet)!=null&&g.enabled&&(c.gender=ya.execute(c.enhance));let h=await c.gender.data();d.gender=h[0]>h[1]?"female":"male",d.genderScore=h[0]>h[1]?Math.trunc(100*h[0])/100:Math.trunc(100*h[1])/100,Object.keys(c).forEach(y=>J(c[y])),x0[a]=d,Ck=n,Nk=ae(),p(d)}))}var nn,Bg=[],Mk=0,$k=0,_k=Number.MAX_SAFE_INTEGER;async function Pk(e){var t;return ne.initial&&(nn=null),nn?e.debug&&K("cached model:",nn.modelUrl):nn=await Me((t=e.face.mobilefacenet)==null?void 0:t.modelPath),nn}async function Wg(e,t,a,n){var i,o;if(!(nn!=null&&nn.executor))return[];let r=_k<(((i=t.face.mobilefacenet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.mobilefacenet)==null?void 0:o.skipTime)||0)>ae()-$k;return t.skipAllowed&&s&&r&&Mk===n&&Bg[a]?(_k++,Bg[a]):new Promise(async l=>{var p;let u=[];if((p=t.face.mobilefacenet)!=null&&p.enabled&&(nn!=null&&nn.inputs[0].shape)){let c={};c.crop=ce.resizeBilinear(e,[nn.inputs[0].shape[2],nn.inputs[0].shape[1]],!1),c.data=nn.execute(c.crop);let d=await c.data.data();u=Array.from(d),Object.keys(c).forEach(h=>J(c[h]))}Bg[a]=u,Mk=n,$k=ae(),l(u)})}var rn,Vg=[],Ok=0,Dk=0,zk=Number.MAX_SAFE_INTEGER;async function Lk(e){return ne.initial&&(rn=null),rn?e.debug&&K("cached model:",rn.modelUrl):rn=await Me(e.face.insightface.modelPath),rn}async function Ug(e,t,a,n){var i,o;if(!(rn!=null&&rn.executor))return[];let r=zk<(((i=t.face.insightface)==null?void 0:i.skipFrames)||0),s=(((o=t.face.insightface)==null?void 0:o.skipTime)||0)>ae()-Dk;return t.skipAllowed&&s&&r&&Ok===n&&Vg[a]?(zk++,Vg[a]):new Promise(async l=>{var p;let u=[];if((p=t.face.insightface)!=null&&p.enabled&&(rn!=null&&rn.inputs[0].shape)){let c={};c.crop=ce.resizeBilinear(e,[rn.inputs[0].shape[2],rn.inputs[0].shape[1]],!1),c.data=rn.execute(c.crop);let d=await c.data.data();u=Array.from(d),Object.keys(c).forEach(h=>J(c[h]))}Vg[a]=u,Ok=n,Dk=ae(),l(u)})}var f0e=e=>{let t=(c,d)=>Math.atan2(c[1]-d[1],c[0]-d[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let a=[0,-.1],n=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],i=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],o=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(i[0]-s[0])/o[0]-a[0],n*(s[1]-i[1])/o[1]-a[1]],u=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return u=Math.min(u,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:u}},Wk=(e,t)=>{let a=m=>{let g=Math.sqrt(m[0]*m[0]+m[1]*m[1]+m[2]*m[2]);return m[0]/=g,m[1]/=g,m[2]/=g,m},n=(m,g)=>{let y=m[0]-g[0],x=m[1]-g[1],A=m[2]-g[2];return[y,x,A]},r=(m,g)=>{let y=m[1]*g[2]-m[2]*g[1],x=m[2]*g[0]-m[0]*g[2],A=m[0]*g[1]-m[1]*g[0];return[y,x,A]},s=m=>{let[g,y,x,A,b,k,S,C,N]=m,$,M,R;return A<1?A>-1?(R=Math.asin(A),M=Math.atan2(-S,g),$=Math.atan2(-k,b)):(R=-Math.PI/2,M=-Math.atan2(C,N),$=0):(R=Math.PI/2,M=Math.atan2(C,N),$=0),Number.isNaN($)&&($=0),Number.isNaN(M)&&(M=0),Number.isNaN(R)&&(R=0),{pitch:2*-$,yaw:2*-M,roll:2*-R}},i=e.meshRaw;if(!i||i.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let o=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[i[10],i[152],i[234],i[454]].map(m=>[m[0]*t[0]/o,m[1]*t[1]/o,m[2]]),u=a(n(l[1],l[0])),p=a(n(l[3],l[2])),c=a(r(p,u));p=r(u,c);let d=[p[0],p[1],p[2],u[0],u[1],u[2],c[0],c[1],c[2]],h=s(d),f=i.length===478?f0e(e):{bearing:0,strength:0};return{angle:h,matrix:d,gaze:f}};function Vk(e,t){let a=e==null?void 0:e.annotations;if(!(a!=null&&a.leftEyeIris)||!(a!=null&&a.rightEyeIris))return 0;let n=Math.max(Math.abs(a.leftEyeIris[3][0]-a.leftEyeIris[1][0]),Math.abs(a.rightEyeIris[3][0]-a.rightEyeIris[1][0]))/t;return Math.round(1.17/n)/100}var Gg=async(e,t)=>{var f,m,g,y,x,A,b,k,S,C,N,$,M,R,I,_,D,W,P,U,G,q,H;let a=ae(),n,r,s,i,o,l,u,p,c,d=[];e.state="run:face";let h=await J9(t,e.config);if(e.performance.face=ne.perfadd?(e.performance.face||0)+Math.trunc(ae()-a):Math.trunc(ae()-a),!t.shape||t.shape.length!==4)return[];if(!h)return[];for(let B=0;B200?Wk(h[B],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?i=(m=e.config.face.emotion)!=null&&m.enabled?Ig(h[B].tensor||Ue([]),e.config,B,h.length):[]:(e.state="run:emotion",a=ae(),i=(g=e.config.face.emotion)!=null&&g.enabled?await Ig(h[B].tensor||Ue([]),e.config,B,h.length):[],e.performance.emotion=ne.perfadd?(e.performance.emotion||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?u=(y=e.config.face.antispoof)!=null&&y.enabled?Eg(h[B].tensor||Ue([]),e.config,B,h.length):0:(e.state="run:antispoof",a=ae(),u=(x=e.config.face.antispoof)!=null&&x.enabled?await Eg(h[B].tensor||Ue([]),e.config,B,h.length):0,e.performance.antispoof=ne.perfadd?(e.performance.antispoof||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?p=(A=e.config.face.liveness)!=null&&A.enabled?Mg(h[B].tensor||Ue([]),e.config,B,h.length):0:(e.state="run:liveness",a=ae(),p=(b=e.config.face.liveness)!=null&&b.enabled?await Mg(h[B].tensor||Ue([]),e.config,B,h.length):0,e.performance.liveness=ne.perfadd?(e.performance.antispoof||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(k=e.config.face.gear)!=null&&k.enabled?Pg(h[B].tensor||Ue([]),e.config,B,h.length):null:(e.state="run:gear",a=ae(),r=(S=e.config.face.gear)!=null&&S.enabled?await Pg(h[B].tensor||Ue([]),e.config,B,h.length):null,e.performance.gear=Math.trunc(ae()-a)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(n=(C=e.config.face.ssrnet)!=null&&C.enabled?Og(h[B].tensor||Ue([]),e.config,B,h.length):null,s=(N=e.config.face.ssrnet)!=null&&N.enabled?Lg(h[B].tensor||Ue([]),e.config,B,h.length):null):(e.state="run:ssrnet",a=ae(),n=($=e.config.face.ssrnet)!=null&&$.enabled?await Og(h[B].tensor||Ue([]),e.config,B,h.length):null,s=(M=e.config.face.ssrnet)!=null&&M.enabled?await Lg(h[B].tensor||Ue([]),e.config,B,h.length):null,e.performance.ssrnet=Math.trunc(ae()-a)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?o=(R=e.config.face.mobilefacenet)!=null&&R.enabled?Wg(h[B].tensor||Ue([]),e.config,B,h.length):null:(e.state="run:mobilefacenet",a=ae(),o=(I=e.config.face.mobilefacenet)!=null&&I.enabled?await Wg(h[B].tensor||Ue([]),e.config,B,h.length):null,e.performance.mobilefacenet=Math.trunc(ae()-a)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(_=e.config.face.insightface)!=null&&_.enabled?Ug(h[B].tensor||Ue([]),e.config,B,h.length):null:(e.state="run:mobilefacenet",a=ae(),l=(D=e.config.face.insightface)!=null&&D.enabled?await Ug(h[B].tensor||Ue([]),e.config,B,h.length):null,e.performance.mobilefacenet=Math.trunc(ae()-a)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?c=Tg(h[B].tensor||Ue([]),e.config,B,h.length):(e.state="run:description",a=ae(),c=await Tg(h[B].tensor||Ue([]),e.config,B,h.length),e.performance.description=ne.perfadd?(e.performance.description||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Description:"),e.config.async&&([n,s,i,o,l,c,r,u,p]=await Promise.all([n,s,i,o,l,c,r,u,p])),e.analyze("Finish Face:"),(W=e.config.face.ssrnet)!=null&&W.enabled&&n&&s&&(c={...c,age:n.age,gender:s.gender,genderScore:s.genderScore}),(P=e.config.face.gear)!=null&&P.enabled&&r&&(c={...c,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),(U=e.config.face.mobilefacenet)!=null&&U.enabled&&o&&(c.descriptor=o),(G=e.config.face.insightface)!=null&&G.enabled&&l&&(c.descriptor=l);let X=(q=e.config.face.iris)!=null&&q.enabled?Vk(h[B],t.shape[2]):0,re=(H=e.config.face.detector)!=null&&H.return?De(h[B].tensor):null;J(h[B].tensor),h[B].tensor&&delete h[B].tensor;let ee={...h[B],id:B};c.age&&(ee.age=c.age),c.gender&&(ee.gender=c.gender),c.genderScore&&(ee.genderScore=c.genderScore),c.descriptor&&(ee.embedding=c.descriptor),c.race&&(ee.race=c.race),i&&(ee.emotion=i),u&&(ee.real=u),p&&(ee.live=p),X>0&&(ee.distance=X),Z&&(ee.rotation=Z),re&&(ee.tensor=re),d.push(ee),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),d};var Pa={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>Pa.nameMapping[e],getPoints:e=>Pa.pointsMapping[e]},As={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>As.nameMapping[e]},Rt={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>Rt.nameMapping[e]},xs=class{constructor(t){de(this,"name");de(this,"curls");de(this,"directions");de(this,"weights");de(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,a,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([a,n])}direction(t,a,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([a,n])}weight(t,a){this.weights[t]=a;let n=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/n)}matchAgainst(t,a){let n=0;for(let r in t){let s=t[r],i=this.curls[r];if(typeof i=="undefined"){n+=this.weightsRelative[r];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[r];break}}for(let r in a){let s=a[r],i=this.directions[r];if(typeof i=="undefined"){n+=this.weightsRelative[r];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[r];break}}return n/10}};var{thumb:Bn,index:Er,middle:Rr,ring:Fo,pinky:Oo}=Pa,{none:Wn,half:g0e,full:Vn}=As,{verticalUp:Cu,verticalDown:$5e,horizontalLeft:Hg,horizontalRight:y0e,diagonalUpRight:x0e,diagonalUpLeft:Nu,diagonalDownRight:_5e,diagonalDownLeft:P5e}=Rt,bs=new xs("thumbs up");bs.curl(Bn,Wn,1);bs.direction(Bn,Cu,1);bs.direction(Bn,Nu,.25);bs.direction(Bn,x0e,.25);for(let e of[Pa.index,Pa.middle,Pa.ring,Pa.pinky])bs.curl(e,Vn,1),bs.direction(e,Hg,1),bs.direction(e,y0e,1);var Wt=new xs("victory");Wt.curl(Bn,g0e,.5);Wt.curl(Bn,Wn,.5);Wt.direction(Bn,Cu,1);Wt.direction(Bn,Nu,1);Wt.curl(Er,Wn,1);Wt.direction(Er,Cu,.75);Wt.direction(Er,Nu,1);Wt.curl(Rr,Wn,1);Wt.direction(Rr,Cu,1);Wt.direction(Rr,Nu,.75);Wt.curl(Fo,Vn,1);Wt.direction(Fo,Cu,.2);Wt.direction(Fo,Nu,1);Wt.direction(Fo,Hg,.2);Wt.curl(Oo,Vn,1);Wt.direction(Oo,Cu,.2);Wt.direction(Oo,Nu,1);Wt.direction(Oo,Hg,.2);Wt.weight(Er,2);Wt.weight(Rr,2);var vs=new xs("point");vs.curl(Bn,Vn,1);vs.curl(Er,Wn,.5);vs.curl(Rr,Vn,.5);vs.curl(Fo,Vn,.5);vs.curl(Oo,Vn,.5);vs.weight(Er,2);vs.weight(Rr,2);var ks=new xs("middle finger");ks.curl(Bn,Wn,1);ks.curl(Er,Vn,.5);ks.curl(Rr,Vn,.5);ks.curl(Fo,Vn,.5);ks.curl(Oo,Vn,.5);ks.weight(Er,2);ks.weight(Rr,2);var Eu=new xs("open palm");Eu.curl(Bn,Wn,.75);Eu.curl(Er,Wn,.75);Eu.curl(Rr,Wn,.75);Eu.curl(Fo,Wn,.75);Eu.curl(Oo,Wn,.75);var Uk=[bs,Wt,vs,ks,Eu];var A0e=.7,Do={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function Gk(e,t,a,n){let r=(t-n)/(e-a),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function jk(e,t){if(!e||!t)return[0,0];let a=Gk(e[0],e[1],t[0],t[1]);if(e.length===2)return a;let n=Gk(e[1],e[2],t[1],t[2]);return[a,n]}function Hk(e,t=1){let a=0,n=0,r=0;return e>=75&&e<=105?a=1*t:e>=25&&e<=155?n=1*t:r=1*t,[a,n,r]}function b0e(e,t,a){let n=e[0]-t[0],r=e[0]-a[0],s=t[0]-a[0],i=e[1]-t[1],o=e[1]-a[1],l=t[1]-a[1],u=e[2]-t[2],p=e[2]-a[2],c=t[2]-a[2],d=Math.sqrt(n*n+i*i+u*u),h=Math.sqrt(r*r+o*o+p*p),f=Math.sqrt(s*s+l*l+c*c),m=(f*f+d*d-h*h)/(2*f*d);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let y;return g>Do.NO_CURL_START_LIMIT?y=As.none:g>Do.HALF_CURL_START_LIMIT?y=As.half:y=As.full,y}function qk(e,t,a,n){let r;return n===Math.abs(e)?e>0?r=Rt.horizontalLeft:r=Rt.horizontalRight:n===Math.abs(t)?t>0?r=Rt.horizontalLeft:r=Rt.horizontalRight:a>0?r=Rt.horizontalLeft:r=Rt.horizontalRight,r}function Xk(e,t,a,n){let r;return n===Math.abs(e)?e<0?r=Rt.verticalDown:r=Rt.verticalUp:n===Math.abs(t)?t<0?r=Rt.verticalDown:r=Rt.verticalUp:a<0?r=Rt.verticalDown:r=Rt.verticalUp,r}function v0e(e,t,a,n,r,s,i,o){let l,u=Xk(e,t,a,n),p=qk(r,s,i,o);return u===Rt.verticalUp?p===Rt.horizontalLeft?l=Rt.diagonalUpLeft:l=Rt.diagonalUpRight:p===Rt.horizontalLeft?l=Rt.diagonalDownLeft:l=Rt.diagonalDownRight,l}function k0e(e,t,a,n){let r=e[0]-t[0],s=e[0]-a[0],i=t[0]-a[0],o=e[1]-t[1],l=e[1]-a[1],u=t[1]-a[1],p=Math.max(Math.abs(r),Math.abs(s),Math.abs(i)),c=Math.max(Math.abs(o),Math.abs(l),Math.abs(u)),d=0,h=0,f=0,m=c/(p+1e-5);m>1.5?d+=Do.DISTANCE_VOTE_POWER:m>.66?h+=Do.DISTANCE_VOTE_POWER:f+=Do.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+o*o),y=Math.sqrt(s*s+l*l),x=Math.sqrt(i*i+u*u),A=Math.max(g,y,x),b=e[0],k=e[1],S=a[0],C=a[1];A===g?(S=a[0],C=a[1]):A===x&&(b=t[0],k=t[1]);let M=jk([b,k],[S,C]),R=Hk(M,Do.TOTAL_ANGLE_VOTE_POWER);d+=R[0],h+=R[1],f+=R[2];for(let _ of n){let D=Hk(_,Do.SINGLE_ANGLE_VOTE_POWER);d+=D[0],h+=D[1],f+=D[2]}let I;return d===Math.max(d,h,f)?I=Xk(l,o,u,c):f===Math.max(h,f)?I=qk(s,r,i,p):I=v0e(l,o,u,c,s,r,i,p),I}function Kk(e){let t=[],a=[],n=[],r=[];if(!e)return{curls:n,directions:r};for(let s of Pa.all){let i=Pa.getPoints(s),o=[],l=[];for(let u of i){let p=e[u[0]],c=e[u[1]],d=jk(p,c),h=d[0],f=d[1];o.push(h),l.push(f)}t.push(o),a.push(l)}for(let s of Pa.all){let i=s===Pa.thumb?1:0,o=Pa.getPoints(s),l=e[o[i][0]],u=e[o[i+1][1]],p=e[o[3][1]],c=b0e(l,u,p),d=k0e(l,u,p,t[s].slice(i));n[s]=c,r[s]=d}return{curls:n,directions:r}}function A0(e){if(!e||e.length===0)return null;let t=Kk(e),a={};for(let n of Pa.all)a[Pa.getName(n)]={curl:As.getName(t.curls[n]),direction:Rt.getName(t.directions[n])};return a}function Zk(e){let t=[];if(!e||e.length===0)return t;let a=Kk(e);for(let n of Uk){let r=n.matchAgainst(a.curls,a.directions);r>=A0e&&t.push({name:n.name,confidence:r})}return t}var Yk=e=>{if(!e)return[];let t=[];for(let a=0;al.part==="leftWrist"),r=e[a].keypoints.find(l=>l.part==="rightWrist"),s=e[a].keypoints.find(l=>l.part==="nose");s&&n&&r&&n.position[1]l.part==="leftShoulder"),o=e[a].keypoints.find(l=>l.part==="rightShoulder");i&&o&&Math.abs(i.positionRaw[1]-o.positionRaw[1])>.1&&t.push({body:a,gesture:`leaning ${i.position[1]>o.position[1]?"left":"right"}`})}return t},Jk=e=>{if(!e)return[];let t=[];for(let a=0;a450){let n=(e[a].mesh[33][2]||0)-(e[a].mesh[263][2]||0),r=e[a].mesh[33][0]-e[a].mesh[263][0];Math.abs(n/r)<=.15?t.push({face:a,gesture:"facing center"}):t.push({face:a,gesture:`facing ${n<0?"left":"right"}`}),Math.abs(e[a].mesh[374][1]-e[a].mesh[386][1])/Math.abs(e[a].mesh[443][1]-e[a].mesh[450][1])<.2&&t.push({face:a,gesture:"blink left eye"}),Math.abs(e[a].mesh[145][1]-e[a].mesh[159][1])/Math.abs(e[a].mesh[223][1]-e[a].mesh[230][1])<.2&&t.push({face:a,gesture:"blink right eye"});let o=Math.min(100,500*Math.abs(e[a].mesh[13][1]-e[a].mesh[14][1])/Math.abs(e[a].mesh[10][1]-e[a].mesh[152][1]));o>10&&t.push({face:a,gesture:`mouth ${Math.trunc(o)}% open`});let l=e[a].mesh[152][2]||0;Math.abs(l)>10&&t.push({face:a,gesture:`head ${l<0?"up":"down"}`})}return t},Qk=e=>{var a,n,r,s;if(!e)return[];let t=[];for(let i=0;i.06||g>.06)&&(h=!1),m>g?m>.05&&t.push({iris:i,gesture:"looking right"}):g>.05&&t.push({iris:i,gesture:"looking left"});let y=Math.abs(e[i].mesh[145][1]-e[i].annotations.rightEyeIris[0][1])/e[i].box[3],x=Math.abs(e[i].mesh[374][1]-e[i].annotations.leftEyeIris[0][1])/e[i].box[3];(x<.01||y<.01||x>.022||y>.022)&&(h=!1),(x<.01||y<.01)&&t.push({iris:i,gesture:"looking down"}),(x>.022||y>.022)&&t.push({iris:i,gesture:"looking up"}),h&&t.push({iris:i,gesture:"looking center"})}return t},ew=e=>{if(!e)return[];let t=[];for(let a=0;a0){let r=n.reduce((i,o)=>(i.position[2]||0)<(o.position[2]||0)?i:o);t.push({hand:a,gesture:`${r.name} forward`});let s=n.reduce((i,o)=>i.position[1][s[0]*t[0],s[1]*t[1]]);return{startPoint:a,endPoint:n,palmLandmarks:r,confidence:e.confidence}}function v0(e,t=1.5){let a=Cp(e),n=b0(e),r=[t*n[0]/2,t*n[1]/2],s=[a[0]-r[0],a[1]-r[1]],i=[a[0]+r[0],a[1]+r[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function k0(e){let t=Cp(e),a=b0(e),r=Math.max(...a)/2,s=[t[0]-r,t[1]-r],i=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function I0e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function sw(e,t){let a=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return I0e(a)}var tw=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ws(e,t){let a=0;for(let n=0;n[i.x,i.y]),this.anchorsTensor=Kn(this.anchors),this.inputSize=((s=(r=(n=(a=this==null?void 0:this.model)==null?void 0:a.inputs)==null?void 0:n[0])==null?void 0:r.shape)==null?void 0:s[2])||0,this.inputSizeTensor=Ht([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Ht([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let a={};a.boxOffsets=Fe(t,[0,0],[-1,2]),a.boxSizes=Fe(t,[0,2],[-1,2]),a.div=xe(a.boxOffsets,this.inputSizeTensor),a.boxCenterPoints=be(a.div,this.anchorsTensor),a.halfBoxSizes=xe(a.boxSizes,this.doubleInputSizeTensor),a.sub=me(a.boxCenterPoints,a.halfBoxSizes),a.startPoints=te(a.sub,this.inputSizeTensor),a.add=be(a.boxCenterPoints,a.halfBoxSizes),a.endPoints=te(a.add,this.inputSizeTensor);let n=ru([a.startPoints,a.endPoints],1);return Object.keys(a).forEach(r=>J(a[r])),n}normalizeLandmarks(t,a){let n={};n.reshape=Q(t,[-1,7,2]),n.div=xe(n.reshape,this.inputSizeTensor),n.landmarks=be(n.div,this.anchors[a]?this.anchors[a]:0);let r=te(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>J(n[s])),r}async predict(t,a){var o;let n={};n.resize=ce.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=xe(n.resize,Le.tf127),n.image=me(n.div,Le.tf1),n.batched=this.model.execute(n.image),n.predictions=De(n.batched),n.slice=Fe(n.predictions,[0,0],[-1,1]),n.sigmoid=Ba(n.slice),n.scores=De(n.sigmoid);let r=await n.scores.data();n.boxes=Fe(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await ce.nonMaxSuppressionAsync(n.norm,n.scores,3*(((o=a.hand)==null?void 0:o.maxDetected)||1),a.hand.iouThreshold,a.hand.minConfidence);let s=await n.nms.array(),i=[];for(let l of s){let u={};u.box=Fe(n.norm,[l,0],[1,-1]),u.slice=Fe(n.predictions,[l,5],[1,14]),u.norm=this.normalizeLandmarks(u.slice,l),u.palmLandmarks=Q(u.norm,[-1,2]);let p=await u.box.data(),c=p.slice(0,2),d=p.slice(2,4),h=await u.palmLandmarks.array(),f={startPoint:c,endPoint:d,palmLandmarks:h,confidence:r[l]},m=rw(f,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);i.push(m),Object.keys(u).forEach(g=>J(u[g]))}return Object.keys(n).forEach(l=>J(n[l])),i}};var N0e=5,uw=1.65,dw=[0,5,9,13,17,1,2],E0e=0,R0e=2,pw=0,I0=class{constructor(t,a){de(this,"handDetector");de(this,"handPoseModel");de(this,"inputSize");de(this,"storedBoxes");de(this,"skipped");de(this,"detectedHands");var n,r,s;this.handDetector=t,this.handPoseModel=a,this.inputSize=((s=(r=(n=this.handPoseModel)==null?void 0:n.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let a=t.map(i=>i[0]),n=t.map(i=>i[1]),r=[Math.min(...a),Math.min(...n)],s=[Math.max(...a),Math.max(...n)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,a){let n=t.map(s=>Xg([...s,1],a)),r=this.calculateLandmarksBoundingBox(n);return v0(k0(r),N0e)}getBoxForHandLandmarks(t){let a=this.calculateLandmarksBoundingBox(t),n=v0(k0(a),uw);n.palmLandmarks=[];for(let r=0;r[i[0]*(h[0]-this.inputSize/2),i[1]*(h[1]-this.inputSize/2),i[2]*h[2]]),l=qg(n,[0,0]),u=o.map(h=>[...Xg(h,l),h[2]]),p=iw(r),c=[...Cp(a),1],d=[ws(c,p[0]),ws(c,p[1])];return u.map(h=>[Math.trunc(h[0]+d[0]),Math.trunc(h[1]+d[1]),Math.trunc(h[2])])}async estimateHands(t,a){let n=!1,r,s=(a.hand.skipTime||0)>ae()-pw,i=this.skipped<(a.hand.skipFrames||0);a.skipAllowed&&s&&i&&(r=await this.handDetector.predict(t,a),this.skipped=0),a.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==a.hand.maxDetected||!a.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let o=[];for(let l=0;l=a.hand.minConfidence/4){let k=Q(A,[-1,3]),S=await k.array();J(A),J(k);let C=this.transformRawCoords(S,m,p,f),N=this.getBoxForHandLandmarks(C);this.storedBoxes[l]={...N,confidence:b};let $={landmarks:C,confidence:b,boxConfidence:u.confidence,fingerConfidence:b,box:{topLeft:N.startPoint,bottomRight:N.endPoint}};o.push($)}else this.storedBoxes[l]=null;J(A)}else{let p=v0(k0(u),uw),c={confidence:u.confidence,boxConfidence:u.confidence,fingerConfidence:0,box:{topLeft:p.startPoint,bottomRight:p.endPoint},landmarks:[]};o.push(c)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=o.length,o.length>a.hand.maxDetected&&(o.length=a.hand.maxDetected),o}};var cw={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},zo,Lo,hw;async function Kg(e,t){let a=await hw.estimateHands(e,t);if(!a)return[];let n=[];for(let r=0;ra[r].landmarks[c]);let i=a[r].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let p of i)p[0]o[2]&&(o[2]=p[0]),p[1]>o[3]&&(o[3]=p[1]);o[2]-=o[0],o[3]-=o[1],l=[o[0]/(e.shape[2]||0),o[1]/(e.shape[1]||0),o[2]/(e.shape[2]||0),o[3]/(e.shape[1]||0)]}else o=a[r].box?[Math.trunc(Math.max(0,a[r].box.topLeft[0])),Math.trunc(Math.max(0,a[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,a[r].box.bottomRight[0])-Math.max(0,a[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,a[r].box.bottomRight[1])-Math.max(0,a[r].box.topLeft[1]))]:[0,0,0,0],l=[a[r].box.topLeft[0]/(e.shape[2]||0),a[r].box.topLeft[1]/(e.shape[1]||0),(a[r].box.bottomRight[0]-a[r].box.topLeft[0])/(e.shape[2]||0),(a[r].box.bottomRight[1]-a[r].box.topLeft[1])/(e.shape[1]||0)];let u=A0(i);n.push({id:r,score:Math.round(100*a[r].confidence)/100,boxScore:Math.round(100*a[r].boxConfidence)/100,fingerScore:Math.round(100*a[r].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:u})}return n}async function fw(e){var a,n;ne.initial&&(zo=null,Lo=null),!zo||!Lo?[zo,Lo]=await Promise.all([e.hand.enabled?Me((a=e.hand.detector)==null?void 0:a.modelPath):null,e.hand.landmarks?Me((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&K("cached model:",zo.modelUrl),e.debug&&K("cached model:",Lo.modelUrl));let t=zo?new w0(zo):void 0;return t&&Lo&&(hw=new I0(t,Lo)),[zo,Lo]}var Ft=[null,null],$0e=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Is=[[0,0],[0,0]],_0e=["hand","fist","pinch","point","face","tip","pinchtip"],gw=4,yw=1.6,P0e=512,F0e=1.4,S0=Number.MAX_SAFE_INTEGER,Zg=0,Mr=[0,0],Pt={boxes:[],hands:[]},xw={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function Aw(e){var t;if(ne.initial&&(Ft[0]=null),Ft[0])e.debug&&K("cached model:",Ft[0].modelUrl);else{Xh(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),Ft[0]=await Me((t=e.hand.detector)==null?void 0:t.modelPath);let a=Ft[0].executor?Object.values(Ft[0].modelSignature.inputs):void 0;Is[0][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Is[0][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0}return Ft[0]}async function bw(e){var t;if(ne.initial&&(Ft[1]=null),Ft[1])e.debug&&K("cached model:",Ft[1].modelUrl);else{Ft[1]=await Me((t=e.hand.skeleton)==null?void 0:t.modelPath);let a=Ft[1].executor?Object.values(Ft[1].modelSignature.inputs):void 0;Is[1][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Is[1][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0}return Ft[1]}async function O0e(e,t){let a=[];if(!e||!Ft[0])return a;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,P0e),i=Math.round(s*r/8)*8;n.resize=ce.resizeBilinear(e,[s,i]),n.cast=Xe(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await Ft[0].executeAsync(n.cast,$0e),n.boxes=De(n.rawBoxes,[0,2]),n.scores=De(n.rawScores,[0]);let o=Na(n.scores,1);J(o[gw]),o.splice(gw,1),n.filtered=ua(o,1),J(o),n.max=fa(n.filtered,1),n.argmax=ar(n.filtered,1);let l=0;n.nms=await ce.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let u=await n.nms.data(),p=await n.max.data(),c=await n.argmax.data();for(let d of Array.from(u)){let h=Fe(n.boxes,d,1),f=await h.data();J(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=n0(m,F0e),y=[Math.trunc(m[0]*Mr[0]),Math.trunc(m[1]*Mr[1]),Math.trunc(m[2]*Mr[0]),Math.trunc(m[3]*Mr[1])],x=p[d],A=_0e[c[d]],b={id:l++,score:x,box:y,boxRaw:g,label:A};a.push(b)}return Object.keys(n).forEach(d=>J(n[d])),a.sort((d,h)=>h.score-d.score),a.length>(t.hand.maxDetected||1)&&(a.length=t.hand.maxDetected||1),a}async function Yg(e,t,a){let n={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&Ft[1]&&a.hand.landmarks&&t.score>(a.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=ce.cropAndResize(e,[s],[0],[Is[1][0],Is[1][1]],"bilinear"),r.div=xe(r.crop,Le.tf255),[r.score,r.keypoints]=Ft[1].execute(r.div,["Identity_1","Identity"]);let i=(await r.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(i))))/100;if(o>=(a.hand.minConfidence||0)){n.fingerScore=o,r.reshaped=Q(r.keypoints,[-1,3]);let p=(await r.reshaped.array()).map(c=>[c[0]/Is[1][1],c[1]/Is[1][0],c[2]||0]).map(c=>[c[0]*t.boxRaw[2],c[1]*t.boxRaw[3],c[2]||0]);n.keypoints=p.map(c=>[Mr[0]*(c[0]+t.boxRaw[0]),Mr[1]*(c[1]+t.boxRaw[1]),c[2]||0]),n.landmarks=A0(n.keypoints);for(let c of Object.keys(xw))n.annotations[c]=xw[c].map(d=>n.landmarks&&n.keypoints[d]?n.keypoints[d]:null)}Object.keys(r).forEach(l=>J(r[l]))}return n}async function Jg(e,t){var r,s;if(!((r=Ft[0])!=null&&r.executor)||!((s=Ft[1])!=null&&s.executor)||!Ft[0].inputs[0].shape||!Ft[1].inputs[0].shape)return[];Mr=[e.shape[2]||0,e.shape[1]||0],S0++;let a=(t.hand.skipTime||0)>ae()-Zg,n=S0<(t.hand.skipFrames||0);return t.skipAllowed&&a&&n?Pt.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>ae()-Zg,l=S0<3*(t.hand.skipFrames||0);t.skipAllowed&&Pt.hands.length===t.hand.maxDetected?Pt.hands=await Promise.all(Pt.boxes.map(p=>Yg(e,p,t))):t.skipAllowed&&o&&l&&Pt.hands.length>0?Pt.hands=await Promise.all(Pt.boxes.map(p=>Yg(e,p,t))):(Pt.boxes=await O0e(e,t),Zg=ae(),Pt.hands=await Promise.all(Pt.boxes.map(p=>Yg(e,p,t))),S0=0);let u=[...Pt.boxes];if(Pt.boxes.length=0,t.cacheSensitivity>0)for(let p=0;p.05&&c.box[3]/(e.shape[1]||1)>.05&&Pt.hands[p].fingerScore&&Pt.hands[p].fingerScore>(t.hand.minConfidence||0)){let d=n0(c.box,yw),h=n0(c.boxRaw,yw);Pt.boxes.push({...u[p],box:d,boxRaw:h})}}for(let p=0;p({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var Np={};fr(Np,{connected:()=>C0,horizontal:()=>Qg,kpt:()=>T0,relative:()=>t5,vertical:()=>e5});var T0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Qg=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],e5=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],t5=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],C0={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ge=lr(),a5=0;function kw(e,t){var i,o,l,u,p,c,d,h,f,m,g,y,x,A,b,k,S,C,N,$,M,R,I,_,D,W;let a=ae();if(!e)return lr();let n=Date.now()-e.timestamp,r=n<1e3?8-Math.log(n+1):1;if(e.canvas&&(ge.canvas=e.canvas),e.error&&(ge.error=e.error),!ge.body||e.body.length!==ge.body.length)ge.body=JSON.parse(JSON.stringify(e.body));else for(let P=0;P((r-1)*ge.body[P].box[X]+Z)/r),G=e.body[P].boxRaw.map((Z,X)=>((r-1)*ge.body[P].boxRaw[X]+Z)/r),q=e.body[P].keypoints.map((Z,X)=>{var re,ee,he,ie,ye,Se,Ne,Be,qe;return{score:Z.score,part:Z.part,position:[ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].position[0]||0)+(Z.position[0]||0))/r:Z.position[0],ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].position[1]||0)+(Z.position[1]||0))/r:Z.position[1],ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].position[2]||0)+(Z.position[2]||0))/r:Z.position[2]],positionRaw:[ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].positionRaw[0]||0)+(Z.positionRaw[0]||0))/r:Z.positionRaw[0],ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].positionRaw[1]||0)+(Z.positionRaw[1]||0))/r:Z.positionRaw[1],ge.body[P].keypoints[X]?((r-1)*(ge.body[P].keypoints[X].positionRaw[2]||0)+(Z.positionRaw[2]||0))/r:Z.positionRaw[2]],distance:[ge.body[P].keypoints[X]?((r-1)*(((re=ge.body[P].keypoints[X].distance)==null?void 0:re[0])||0)+(((ee=Z.distance)==null?void 0:ee[0])||0))/r:(he=Z.distance)==null?void 0:he[0],ge.body[P].keypoints[X]?((r-1)*(((ie=ge.body[P].keypoints[X].distance)==null?void 0:ie[1])||0)+(((ye=Z.distance)==null?void 0:ye[1])||0))/r:(Se=Z.distance)==null?void 0:Se[1],ge.body[P].keypoints[X]?((r-1)*(((Ne=ge.body[P].keypoints[X].distance)==null?void 0:Ne[2])||0)+(((Be=Z.distance)==null?void 0:Be[2])||0))/r:(qe=Z.distance)==null?void 0:qe[2]]}}),H={},B={connected:{}};(i=t.body.modelPath)!=null&&i.includes("efficientpose")?B=i0:(o=t.body.modelPath)!=null&&o.includes("blazepose")?B=t0:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(B=Np);for(let[Z,X]of Object.entries(B.connected)){let re=[];for(let ee=0;eeye.part===X[ee]),ie=q.find(ye=>ye.part===X[ee+1]);he&&ie&&re.push([he.position,ie.position])}H[Z]=re}ge.body[P]={...e.body[P],box:U,boxRaw:G,keypoints:q,annotations:H}}if(!ge.hand||e.hand.length!==ge.hand.length)ge.hand=JSON.parse(JSON.stringify(e.hand));else for(let P=0;P((r-1)*ge.hand[P].box[Z]+B)/r),G=e.hand[P].boxRaw.map((B,Z)=>((r-1)*ge.hand[P].boxRaw[Z]+B)/r);ge.hand[P].keypoints.length!==e.hand[P].keypoints.length&&(ge.hand[P].keypoints=e.hand[P].keypoints);let q=e.hand[P].keypoints&&e.hand[P].keypoints.length>0?e.hand[P].keypoints.map((B,Z)=>B.map((X,re)=>((r-1)*(ge.hand[P].keypoints[Z][re]||1)+(X||0))/r)):[],H={};if(Object.keys(ge.hand[P].annotations).length!==Object.keys(e.hand[P].annotations).length)ge.hand[P].annotations=e.hand[P].annotations,H=ge.hand[P].annotations;else if(e.hand[P].annotations)for(let B of Object.keys(e.hand[P].annotations))H[B]=(c=(p=(u=e.hand[P])==null?void 0:u.annotations)==null?void 0:p[B])!=null&&c[0]?e.hand[P].annotations[B].map((Z,X)=>Z.map((re,ee)=>((r-1)*ge.hand[P].annotations[B][X][ee]+re)/r)):null;ge.hand[P]={...e.hand[P],box:U,boxRaw:G,keypoints:q,annotations:H}}if(!ge.face||e.face.length!==ge.face.length)ge.face=JSON.parse(JSON.stringify(e.face));else for(let P=0;P((r-1)*ge.face[P].box[B]+H)/r),G=e.face[P].boxRaw.map((H,B)=>((r-1)*ge.face[P].boxRaw[B]+H)/r),q=e.face[P].annotations;if(Object.keys(ge.face[P].annotations).length!==Object.keys(e.face[P].annotations).length)ge.face[P].annotations=e.face[P].annotations,q=ge.face[P].annotations;else if(e.face[P].annotations)for(let H of Object.keys(e.face[P].annotations))q[H]=(f=(h=(d=e.face[P])==null?void 0:d.annotations)==null?void 0:h[H])!=null&&f[0]?e.face[P].annotations[H].map((B,Z)=>B.map((X,re)=>((r-1)*ge.face[P].annotations[H][Z][re]+X)/r)):null;if(e.face[P].rotation){let H={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};H.matrix=(m=e.face[P].rotation)==null?void 0:m.matrix,H.angle={roll:((r-1)*(((y=(g=ge.face[P].rotation)==null?void 0:g.angle)==null?void 0:y.roll)||0)+(((A=(x=e.face[P].rotation)==null?void 0:x.angle)==null?void 0:A.roll)||0))/r,yaw:((r-1)*(((k=(b=ge.face[P].rotation)==null?void 0:b.angle)==null?void 0:k.yaw)||0)+(((C=(S=e.face[P].rotation)==null?void 0:S.angle)==null?void 0:C.yaw)||0))/r,pitch:((r-1)*((($=(N=ge.face[P].rotation)==null?void 0:N.angle)==null?void 0:$.pitch)||0)+(((R=(M=e.face[P].rotation)==null?void 0:M.angle)==null?void 0:R.pitch)||0))/r},H.gaze={bearing:((r-1)*(((I=ge.face[P].rotation)==null?void 0:I.gaze.bearing)||0)+(((_=e.face[P].rotation)==null?void 0:_.gaze.bearing)||0))/r,strength:((r-1)*(((D=ge.face[P].rotation)==null?void 0:D.gaze.strength)||0)+(((W=e.face[P].rotation)==null?void 0:W.gaze.strength)||0))/r},ge.face[P]={...e.face[P],rotation:H,box:U,boxRaw:G,annotations:q}}else ge.face[P]={...e.face[P],box:U,boxRaw:G,annotations:q}}if(!ge.object||e.object.length!==ge.object.length)ge.object=JSON.parse(JSON.stringify(e.object));else for(let P=0;P((r-1)*ge.object[P].box[H]+q)/r),G=e.object[P].boxRaw.map((q,H)=>((r-1)*ge.object[P].boxRaw[H]+q)/r);ge.object[P]={...e.object[P],box:U,boxRaw:G}}if(e.persons){let P=e.persons;if(!ge.persons||P.length!==ge.persons.length)ge.persons=JSON.parse(JSON.stringify(P));else for(let U=0;U((r-1)*ge.persons[U].box[q]+G)/r)}e.gesture&&(ge.gesture=e.gesture),ge.width=e.width,ge.height=e.height;let s=ae();return a5=ne.perfadd?a5+Math.round(s-a):Math.round(s-a),e.performance&&(ge.performance={...e.performance,interpolate:a5}),ge}var xa;async function n5(e){return!xa||ne.initial?xa=await Me(e.segmentation.modelPath):e.debug&&K("cached model:",xa.modelUrl),xa}async function ww(e,t){var r;if(xa||(xa=await n5(t)),!(xa!=null&&xa.executor)||!((r=xa==null?void 0:xa.inputs)!=null&&r[0].shape))return null;let a={};a.resize=ce.resizeBilinear(e,[xa.inputs[0].shape?xa.inputs[0].shape[1]:0,xa.inputs[0].shape?xa.inputs[0].shape[2]:0],!1),a.norm=xe(a.resize,Le.tf255),a.res=xa.execute(a.norm),a.squeeze=De(a.res,[0]),[a.bgRaw,a.fgRaw]=Na(a.squeeze,2),a.fg=yh(a.fgRaw),a.mul=te(a.fg,Le.tf255),a.expand=Gt(a.mul,2),a.output=ce.resizeBilinear(a.expand,[e.shape[1]||0,e.shape[2]||0]);let n;switch(t.segmentation.mode||"default"){case"default":a.input=De(e),a.concat=st([a.input,a.output],-1),n=Xe(a.concat,"int32");break;case"alpha":n=Xe(a.output,"int32");break;default:n=Ue(0)}return Object.keys(a).forEach(s=>J(a[s])),n}var N0={};fr(N0,{distance:()=>r5,find:()=>L0e,similarity:()=>z0e});function r5(e,t,a={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let n=0;for(let r=0;r{if(e===0)return 1;let s=(1-(t===2?Math.sqrt(e):e**(1/t))/100-a)/(n-a);return Math.max(Math.min(s,1),0)};function z0e(e,t,a={order:2,multiplier:25,min:.2,max:.8}){let n=r5(e,t,a);return Sw(n,a.order||2,a.min||0,a.max||1)}function L0e(e,t,a={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let n=Number.MAX_SAFE_INTEGER,r=-1;for(let i=0;iMp,validateModel:()=>F0});var Tw=.005,sn={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function s5(e){for(let t of Qg){let a=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[a]&&e.keypoints[n]&&e.keypoints[a].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[a]&&e.keypoints[n]&&e.keypoints[a].position[1]u&&u.part===t[0]),r=e.keypoints.findIndex(u=>u&&u.part===t[1]),s=e.keypoints.findIndex(u=>u&&u.part===a[0]),i=e.keypoints.findIndex(u=>u&&u.part===a[1]);if(!e.keypoints[s]||!e.keypoints[i])continue;let o=e.keypoints[n]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[i].position[0]-e.keypoints[n].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[i].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(o[0]>o[1]||l[0]>l[1]){let u=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=u}}}function Cw(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],a.pad=rr(e,sn.padding),a.resize=ce.resizeBilinear(a.pad,[t,t]);let n=Xe(a.resize,"int32");return Object.keys(a).forEach(i=>J(a[i])),n}function Ew(e,t){e.keypoints=e.keypoints.filter(n=>n==null?void 0:n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+sn.padding[2][0]+sn.padding[2][1])/t[0]-sn.padding[2][0],n.position[1]*(t[1]+sn.padding[1][0]+sn.padding[1][1])/t[1]-sn.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let a=hs(e.keypoints.map(n=>n.position),t);return e.box=a.box,e.boxRaw=a.boxRaw,e}var Vt,E0=0,i5=Number.MAX_SAFE_INTEGER,Bo={boxes:[],bodies:[],last:0};async function Rw(e){var t;return ne.initial&&(Vt=null),Vt?e.debug&&K("cached model:",Vt.modelUrl):(Xh(["size"],e),Vt=await Me(e.body.modelPath)),E0=Vt!=null&&Vt.executor&&((t=Vt==null?void 0:Vt.inputs)!=null&&t[0].shape)?Vt.inputs[0].shape[2]:0,E0<64&&(E0=256),V().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&V().set("WEBGL_USE_SHAPES_UNIFORMS",!1),Vt}function W0e(e,t,a){let n=e[0][0],r=[],s=0;for(let p=0;pt.body.minConfidence){let c=[n[p][1],n[p][0]];r.push({score:Math.round(100*s)/100,part:T0[p],positionRaw:c,position:[Math.round((a.shape[2]||0)*c[0]),Math.round((a.shape[1]||0)*c[1])]})}s=r.reduce((p,c)=>c.score>p?c.score:p,0);let i=[],o=hs(r.map(p=>p.position),[a.shape[2],a.shape[1]]),l={};for(let[p,c]of Object.entries(C0)){let d=[];for(let h=0;hg.part===c[h]),m=r.find(g=>g.part===c[h+1]);f&&m&&f.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&d.push([f.position,m.position])}l[p]=d}let u={id:0,score:s,box:o.box,boxRaw:o.boxRaw,keypoints:r,annotations:l};return s5(u),i.push(u),i}function V0e(e,t,a){let n=[];for(let r=0;rt.body.minConfidence){let o=[];for(let d=0;d<17;d++){let h=s[3*d+2];if(h>t.body.minConfidence){let f=[s[3*d+1],s[3*d+0]];o.push({part:T0[d],score:Math.round(100*h)/100,positionRaw:f,position:[Math.round((a.shape[2]||0)*f[0]),Math.round((a.shape[1]||0)*f[1])]})}}let l=[s[51+1],s[51+0],s[51+3]-s[51+1],s[51+2]-s[51+0]],u=[Math.trunc(l[0]*(a.shape[2]||0)),Math.trunc(l[1]*(a.shape[1]||0)),Math.trunc(l[2]*(a.shape[2]||0)),Math.trunc(l[3]*(a.shape[1]||0))],p={};for(let[d,h]of Object.entries(C0)){let f=[];for(let m=0;mx.part===h[m]),y=o.find(x=>x.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}p[d]=f}let c={id:r,score:i,box:u,boxRaw:l,keypoints:[...o],annotations:p};s5(c),n.push(c)}}return n.sort((r,s)=>s.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function o5(e,t){var r;if(!(Vt!=null&&Vt.executor)||!((r=Vt==null?void 0:Vt.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(Bo.boxes.length=0),i5++;let a=(t.body.skipTime||0)>ae()-Bo.last,n=i5<(t.body.skipFrames||0);return t.skipAllowed&&a&&n?Bo.bodies:new Promise(async s=>{let i={};i5=0,i.input=Nw(e,E0),i.res=Vt==null?void 0:Vt.execute(i.input),Bo.last=ae();let o=await i.res.array();Bo.bodies=i.res.shape[2]===17?W0e(o,t,e):V0e(o,t,e);for(let l of Bo.bodies)Ew(l,[e.shape[2]||1,e.shape[1]||1]),Cw(l.keypoints);Object.keys(i).forEach(l=>J(i[l])),s(Bo.bodies)})}var _n,R0=[],$w=0,l5=Number.MAX_SAFE_INTEGER,$0=0,M0=2.5;async function _w(e){if(!_n||ne.initial){_n=await Me(e.object.modelPath);let t=_n!=null&&_n.executor?Object.values(_n.modelSignature.inputs):void 0;$0=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&K("cached model:",_n.modelUrl);return _n}async function U0e(e,t,a){var u,p;let n=0,r=[],s=$0;for(let c of[1,2,4]){let d=c*13,h=De(e.find(A=>A.shape[1]===d**2&&(A.shape[2]||0)===vu.length)),f=await h.array(),m=De(e.find(A=>A.shape[1]===d**2&&(A.shape[2]||0)(a.object.minConfidence||0)&&b!==61){let S=(.5+Math.trunc(A%d))/d,C=(.5+Math.trunc(A/d))/d,N=x[A].map(P=>P*(d/c/s)),[$,M]=[S-M0/c*N[0],C-M0/c*N[1]],[R,I]=[S+M0/c*N[2]-$,C+M0/c*N[3]-M],_=[$,M,R,I];_=_.map(P=>Math.max(0,Math.min(P,1)));let D=[_[0]*t[0],_[1]*t[1],_[2]*t[0],_[3]*t[1]],W={id:n++,score:Math.round(100*k)/100,class:b+1,label:vu[b].label,box:D.map(P=>Math.trunc(P)),boxRaw:_};r.push(W)}}J([h,m,g,y])}let i=r.map(c=>[c.boxRaw[1],c.boxRaw[0],c.boxRaw[3],c.boxRaw[2]]),o=r.map(c=>c.score),l=[];if(i&&i.length>0){let c=await ce.nonMaxSuppressionAsync(i,o,a.object.maxDetected||0,a.object.iouThreshold,a.object.minConfidence);l=Array.from(await c.data()),J(c)}return r=r.filter((c,d)=>l.includes(d)).sort((c,d)=>d.score-c.score),r}async function u5(e,t){if(!(_n!=null&&_n.executor))return[];let a=(t.object.skipTime||0)>ae()-$w,n=l5<(t.object.skipFrames||0);return t.skipAllowed&&a&&n&&R0.length>0?(l5++,R0):(l5=0,!ne.kernels.includes("mod")||!ne.kernels.includes("sparsetodense")?R0:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],i=ce.resizeBilinear(e,[$0,$0],!1),o=xe(i,Le.tf255),l=Vs(o,[0,3,1,2]),u;t.object.enabled&&(u=_n.execute(l)),$w=ae();let p=await U0e(u,s,t);R0=p,J([i,o,l,...u]),r(p)}))}var Rp=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],G0e=Rp.length,Ep=Rp.reduce((e,t,a)=>(e[t]=a,e),{}),H0e=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Tye=H0e.map(([e,t])=>[Ep[e],Ep[t]]),Fw=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function Ow(e){let t=e.reduce(({maxX:a,maxY:n,minX:r,minY:s},{position:{x:i,y:o}})=>({maxX:Math.max(a,i),maxY:Math.max(n,o),minX:Math.min(r,i),minY:Math.min(s,o)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Dw(e,[t,a],[n,r]){let s=t/n,i=a/r,o=(u,p)=>({id:p,score:u.score,boxRaw:[u.box[0]/r,u.box[1]/n,u.box[2]/r,u.box[3]/n],box:[Math.trunc(u.box[0]*i),Math.trunc(u.box[1]*s),Math.trunc(u.box[2]*i),Math.trunc(u.box[3]*s)],keypoints:u.keypoints.map(({score:c,part:d,position:h})=>({score:c,part:d,position:[Math.trunc(h.x*i),Math.trunc(h.y*s)],positionRaw:[h.x/n,h.y/n]})),annotations:{}});return e.map((u,p)=>o(u,p))}var _0=class{constructor(t,a){de(this,"priorityQueue");de(this,"numberOfElements");de(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=a}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let a=2*t;if(aa?a:e}function zw(e,t,a,n){let r=a-e,s=n-t;return r*r+s*s}function h5(e,t){return{x:e.x+t.x,y:e.y+t.y}}var on,q0e=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],P0=1,Ru=16,X0e=50**2;function Lw(e,t,a,n,r,s,i=2){let o=y=>({y:s.get(y.y,y.x,e),x:s.get(y.y,y.x,s.shape[2]/2+e)}),l=(y,x,A)=>({y:c5(Math.round(y.y/Ru),0,x-1),x:c5(Math.round(y.x/Ru),0,A-1)}),[u,p]=n.shape,c=l(t.position,u,p),d=o(c),f=h5(t.position,d);for(let y=0;y[Ep[d],Ep[h]]),i=s.map(([,d])=>d),o=s.map(([d])=>d),l=t.shape[2],u=i.length,p=new Array(l),c=p5(e.part,Ru,a);p[e.part.id]={score:e.score,part:Rp[e.part.id],position:c};for(let d=u-1;d>=0;--d){let h=i[d],f=o[d];p[h]&&!p[f]&&(p[f]=Lw(d,p[h],f,t,a,r))}for(let d=0;dt){o=!1;break}if(!o)break}return o}function Y0e(e,t){let[a,n,r]=t.shape,s=new _0(a*n*r,({score:i})=>i);for(let i=0;i{var i;let s=(i=r[n])==null?void 0:i.position;return s?zw(a,t,s.y,s.x)<=X0e:!1})}function J0e(e,t){return t.reduce((n,{position:r,score:s},i)=>(Bw(e,r,i)||(n+=s),n),0)/t.length}function Q0e(e,t,a,n,r,s){let i=[],o=Y0e(s,t);for(;i.lengthh.score>s);let c=J0e(i,p),d=Ow(p);c>s&&i.push({keypoints:p,box:d,score:Math.round(100*c)/100})}return i}async function f5(e,t){if(!(on!=null&&on.executor))return[];let a=Oe(()=>{if(!on.inputs[0].shape)return[];let i=ce.resizeBilinear(e,[on.inputs[0].shape[2],on.inputs[0].shape[1]]),o=me(xe(Xe(i,"float32"),127.5),1),u=on.execute(o,q0e).map(p=>De(p,[0]));return u[1]=Ba(u[1]),u}),n=await Promise.all(a.map(i=>i.buffer()));for(let i of a)J(i);let r=Q0e(n[0],n[1],n[2],n[3],t.body.maxDetected,t.body.minConfidence);return on.inputs[0].shape?Dw(r,[e.shape[1],e.shape[2]],[on.inputs[0].shape[2],on.inputs[0].shape[1]]):[]}async function Ww(e){return!on||ne.initial?on=await Me(e.body.modelPath):e.debug&&K("cached model:",on.modelUrl),on}var ur,efe=["fgr","pha","r1o","r2o","r3o","r4o"],Ut={},g5=0;function Gw(e){J([Ut.r1i,Ut.r2i,Ut.r3i,Ut.r4i,Ut.downsample_ratio]),Ut.r1i=Ue(0),Ut.r2i=Ue(0),Ut.r3i=Ue(0),Ut.r4i=Ue(0),g5=e.segmentation.ratio||.5,Ut.downsample_ratio=Ue(g5)}async function y5(e){return!ur||ne.initial?ur=await Me(e.segmentation.modelPath):e.debug&&K("cached model:",ur.modelUrl),Gw(e),ur}var Uw=e=>Oe(()=>{let t=De(e,[0]),a=te(t,Le.tf255);return Xe(a,"int32")});function m5(e,t){let a=e?Uw(e):nr([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),n=t?Uw(t):nr([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),r=st([a,n],-1);return J([a,n]),r}function tfe(e){return Oe(()=>{let t={};return t.unstack=Na(e,-1),t.concat=st(t.unstack,1),t.split=Sa(t.concat,4,1),t.stack=st(t.split,2),t.squeeze=De(t.stack,[0]),t.expand=Gt(t.squeeze,-1),t.add=be(t.expand,1),t.mul=te(t.add,127.5),t.cast=Xe(t.mul,"int32"),t.tile=Ur(t.cast,[1,1,3]),t.alpha=nr([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),st([t.tile,t.alpha],-1)})}async function Hw(e,t){if(ur||(ur=await y5(t)),!(ur!=null&&ur.executor))return null;Ut.src=xe(e,255),g5!==t.segmentation.ratio&&Gw(t);let[a,n,r,s,i,o]=await ur.executeAsync(Ut,efe),l;switch(t.segmentation.mode||"default"){case"default":l=m5(a,n);break;case"alpha":l=m5(null,n);break;case"foreground":l=m5(a,null);break;case"state":l=tfe(r);break;default:l=Ue(0)}return J([Ut.src,a,n,Ut.r1i,Ut.r2i,Ut.r3i,Ut.r4i]),[Ut.r1i,Ut.r2i,Ut.r3i,Ut.r4i]=[r,s,i,o],l}var Aa;async function x5(e){return!Aa||ne.initial?Aa=await Me(e.segmentation.modelPath):e.debug&&K("cached model:",Aa.modelUrl),Aa}async function qw(e,t){var r;if(Aa||(Aa=await x5(t)),!(Aa!=null&&Aa.executor)||!((r=Aa==null?void 0:Aa.inputs)!=null&&r[0].shape))return null;let a={};a.resize=ce.resizeBilinear(e,[Aa.inputs[0].shape?Aa.inputs[0].shape[1]:0,Aa.inputs[0].shape?Aa.inputs[0].shape[2]:0],!1),a.norm=xe(a.resize,Le.tf255),a.res=Aa.execute(a.norm),a.squeeze=De(a.res,[0]),a.alpha=ce.resizeBilinear(a.squeeze,[e.shape[1]||0,e.shape[2]||0]),a.mul=te(a.alpha,Le.tf255);let n;switch(t.segmentation.mode||"default"){case"default":a.input=De(e),a.concat=st([a.input,a.mul],-1),n=Xe(a.concat,"int32");break;case"alpha":n=Xe(a.mul,"int32");break;default:n=Ue(0)}return Object.keys(a).forEach(s=>J(a[s])),n}function F0(e,t,a){var u,p;if(!t||!((u=e==null?void 0:e.config)!=null&&u.validateModels))return null;let n=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],r=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],s=[],i=[],o=t.modelUrl,l=t.executor;if((p=l==null?void 0:l.graph)!=null&&p.nodes)for(let c of Object.values(l.graph.nodes)){let d=c.op.toLowerCase();s.includes(d)||s.push(d)}else!l&&e.config.debug&&K("model not loaded",a);for(let c of s)!n.includes(c)&&!r.includes(c)&&!e.env.kernels.includes(c)&&!e.env.kernels.includes(c.replace("_",""))&&!e.env.kernels.includes(c.replace("native",""))&&!e.env.kernels.includes(c.replace("v2",""))&&i.push(c);return e.config.debug&&i.length>0&&K("model validation failed:",a,i),i.length>0?{name:a,missing:i,ops:s,url:o}:null}var Mp=class{constructor(t){de(this,"instance");de(this,"models",{});this.models={},this.instance=t}stats(){let t=0,a=0,n=0;for(let s of Object.values(ga))t+=s.sizeFromManifest,a+=s.sizeLoadedWeights,n+=s.sizeDesired;let r=n>0?a/n:0;return{numLoadedModels:Object.values(ga).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:r,totalSizeFromManifest:t,totalSizeWeights:a,totalSizeLoading:n,modelStats:Object.values(ga)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var n,r,s,i,o,l,u,p,c,d,h,f,m,g,y,x,A,b,k,S,C,N,$,M,R,I,_;ne.initial&&this.reset(),t&&(this.instance=t);let a={};a.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?V9(this.instance.config):null,a.antispoof=this.instance.config.face.enabled&&((n=this.instance.config.face.antispoof)!=null&&n.enabled)&&!this.models.antispoof?hk(this.instance.config):null,a.liveness=this.instance.config.face.enabled&&((r=this.instance.config.face.liveness)!=null&&r.enabled)&&!this.models.liveness?yk(this.instance.config):null,a.faceres=this.instance.config.face.enabled&&((s=this.instance.config.face.description)!=null&&s.enabled)&&!this.models.faceres?lk(this.instance.config):null,a.emotion=this.instance.config.face.enabled&&((i=this.instance.config.face.emotion)!=null&&i.enabled)&&!this.models.emotion?rk(this.instance.config):null,a.iris=this.instance.config.face.enabled&&((o=this.instance.config.face.iris)!=null&&o.enabled)&&!((l=this.instance.config.face.attention)!=null&&l.enabled)&&!this.models.iris?X9(this.instance.config):null,a.facemesh=this.instance.config.face.enabled&&((u=this.instance.config.face.mesh)!=null&&u.enabled)&&!this.models.facemesh?Q9(this.instance.config):null,a.gear=this.instance.config.face.enabled&&((p=this.instance.config.face.gear)!=null&&p.enabled)&&!this.models.gear?vk(this.instance.config):null,a.ssrnetage=this.instance.config.face.enabled&&((c=this.instance.config.face.ssrnet)!=null&&c.enabled)&&!this.models.ssrnetage?Sk(this.instance.config):null,a.ssrnetgender=this.instance.config.face.enabled&&((d=this.instance.config.face.ssrnet)!=null&&d.enabled)&&!this.models.ssrnetgender?Ek(this.instance.config):null,a.mobilefacenet=this.instance.config.face.enabled&&((h=this.instance.config.face.mobilefacenet)!=null&&h.enabled)&&!this.models.mobilefacenet?Pk(this.instance.config):null,a.insightface=this.instance.config.face.enabled&&((f=this.instance.config.face.insightface)!=null&&f.enabled)&&!this.models.insightface?Lk(this.instance.config):null,a.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((m=this.instance.config.body.modelPath)!=null&&m.includes("blazepose"))?w9(this.instance.config):null,a.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?k9(this.instance.config):null,a.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((g=this.instance.config.body.modelPath)!=null&&g.includes("efficientpose"))?E9(this.instance.config):null,a.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((y=this.instance.config.body.modelPath)!=null&&y.includes("movenet"))?Rw(this.instance.config):null,a.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((x=this.instance.config.body.modelPath)!=null&&x.includes("posenet"))?Ww(this.instance.config):null,a.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((b=(A=this.instance.config.hand.detector)==null?void 0:A.modelPath)!=null&&b.includes("handtrack"))?Aw(this.instance.config):null,a.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((S=(k=this.instance.config.hand.detector)==null?void 0:k.modelPath)!=null&&S.includes("handtrack"))?bw(this.instance.config):null,(N=(C=this.instance.config.hand.detector)==null?void 0:C.modelPath)!=null&&N.includes("handdetect")&&([a.handpose,a.handskeleton]=this.models.handpose?[null,null]:await fw(this.instance.config)),a.centernet=this.instance.config.object.enabled&&!this.models.centernet&&(($=this.instance.config.object.modelPath)!=null&&$.includes("centernet"))?T9(this.instance.config):null,a.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((M=this.instance.config.object.modelPath)!=null&&M.includes("nanodet"))?_w(this.instance.config):null,a.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&((R=this.instance.config.segmentation.modelPath)!=null&&R.includes("selfie"))?x5(this.instance.config):null,a.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((I=this.instance.config.segmentation.modelPath)!=null&&I.includes("meet"))?n5(this.instance.config):null,a.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((_=this.instance.config.segmentation.modelPath)!=null&&_.includes("rvm"))?y5(this.instance.config):null;for(let[D,W]of Object.entries(a))W!=null&&W.then&&W.then(P=>this.models[D]=P);await Promise.all(Object.values(a))}list(){let t=Object.keys(this.models).map(a=>{var n;return{name:a,loaded:this.models[a]!==null,size:0,url:this.models[a]?(n=this.models[a])==null?void 0:n.modelUrl:null}});for(let a of t){let n=Object.keys(ga).find(r=>r.startsWith(a.name));n&&(a.size=ga[n].sizeLoadedWeights,a.url=ga[n].url)}return t}loaded(){return this.list().filter(n=>n.loaded).map(n=>n.name)}validate(){let t=[];for(let a of Object.keys(this.models)){let n=this.models[a];if(!n)continue;let r=F0(this.instance,n,a);r&&t.push(r)}return t}};function Kw(e,t,a,n,r){var o,l,u,p,c,d;let s=0,i=[];for(let h of e){let f={id:s++,face:h,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let b of t)h.box[0]>b.box[0]&&h.box[0]b.box[1]&&h.box[1]+h.box[3]f.body.box[0]&&b.box[0]+b.box[2]f.body.box[1]&&b.box[1]+b.box[3]f.body.box[0]&&b.box[1]+b.box[3]>f.body.box[1]&&b.box[1]+b.box[3]{b&&b.length===4&&(m.push(b[0],b[0]+b[2]),g.push(b[1],b[1]+b[3]))};y(f.face.box),y((p=f.body)==null?void 0:p.box),y((c=f.hands.left)==null?void 0:c.box),y((d=f.hands.right)==null?void 0:d.box);let x=Math.min(...m),A=Math.min(...g);f.box=[x,A,Math.max(...m)-x,Math.max(...g)-A],r!=null&&r[1]&&(r!=null&&r[2])&&(f.boxRaw=[f.box[0]/r[2],f.box[1]/r[1],f.box[2]/r[2],f.box[3]/r[1]]),i.push(f)}return i}var O0=` + gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var Xg=0;function S1e(e,t,a){let n=Et(Dt,a);if(!t||!e)return;let r=An(e);if(r){r.lineJoin="round",r.font=n.font;for(let s=0;sZg,kpt:()=>Yg});var Yg=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Zg={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var vn,il=224,Dk,N1e=5,k0=[8,16,32,32,32];function R1e(){let e=[],t=0;for(;ta.x)),y:jt(e.map(a=>a.y))}}async function Pk(e){if(ne.initial&&(vn=null),!vn&&e.body.detector&&e.body.detector.modelPath){vn=await Fe(e.body.detector.modelPath);let t=vn!=null&&vn.executor?Object.values(vn.modelSignature.inputs):void 0;il=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&vn&&K("cached model:",vn.modelUrl);return R1e(),vn}var $k=[5,5];function E1e(e,t){return Pe(()=>{let a=Ca(e,12,1),n=Oe(a[0]),r=Oe(a[1]),s=Oe(a[2]),i=Oe(a[3]);n=ke(ve(n,il),t.x),r=ke(ve(r,il),t.y),s=te(ve(s,il),$k[0]),i=te(ve(i,il),$k[1]);let o=ye(n,ve(s,2)),l=ye(r,ve(i,2)),u=ke(o,s),p=ke(l,i);return ca([o,l,u,p],1)})}async function M1e(e,t,a,n){var u,p;let r=[],s={};s.boxes=E1e(e,Dk),s.scores=Wa(t),s.nms=await fe.nonMaxSuppressionAsync(s.boxes,s.scores,1,((u=a.body.detector)==null?void 0:u.minConfidence)||.1,((p=a.body.detector)==null?void 0:p.iouThreshold)||.1);let i=await s.nms.data(),o=await s.scores.data(),l=await s.boxes.array();for(let c of Array.from(i)){let d=o[c],h=l[c],f=[Math.round(h[0]*n[0]),Math.round(h[1]*n[1]),Math.round(h[2]*n[0]),Math.round(h[3]*n[1])],m={score:d,boxRaw:h,box:f};r.push(m)}return Object.keys(s).forEach(c=>J(s[c])),r}async function Ok(e,t,a){let n={};n.res=vn==null?void 0:vn.execute(e,["Identity"]),n.logitsRaw=De(n.res,[0,0,0],[1,-1,1]),n.boxesRaw=De(n.res,[0,0,1],[1,-1,-1]),n.logits=Oe(n.logitsRaw),n.boxes=Oe(n.boxesRaw);let r=await M1e(n.boxes,n.logits,t,a);return Object.keys(n).forEach(s=>J(n[s])),r}function gs(e,t=[1,1]){let a=[e.map(o=>o[0]),e.map(o=>o[1])],n=[Math.min(...a[0]),Math.min(...a[1])],r=[Math.max(...a[0]),Math.max(...a[1])],s=[n[0],n[1],r[0]-n[0],r[1]-n[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function zk(e,t=[1,1]){let a=[e.map(u=>u[0]),e.map(u=>u[1])],n=[Math.min(...a[0]),Math.min(...a[1])],r=[Math.max(...a[0]),Math.max(...a[1])],s=[(n[0]+r[0])/2,(n[1]+r[1])/2],i=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+r[0],-s[1]+r[1]),o=[Math.trunc(s[0]-i),Math.trunc(s[1]-i),Math.trunc(2*i),Math.trunc(2*i)],l=[o[0]/t[0],o[1]/t[1],o[2]/t[0],o[3]/t[1]];return{box:o,boxRaw:l}}function I0(e,t){let a=[e[2]*t,e[3]*t];return[e[0]-(a[0]-e[2])/2,e[1]-(a[1]-e[3])/2,a[0],a[1]]}var Ga,Qg=256,Jg=Number.MAX_SAFE_INTEGER,F1e={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},C0=[],ys=[[0,0],[0,0],[0,0],[0,0]],Lk=0,Wk=e=>1-1/(1+Math.exp(e)),Vk=e=>Pk(e);async function Uk(e){if(ne.initial&&(Ga=null),Ga)e.debug&&K("cached model:",Ga.modelUrl);else{Ga=await Fe(e.body.modelPath);let t=Ga!=null&&Ga.executor?Object.values(Ga.modelSignature.inputs):void 0;Qg=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return Ga}function Bk(e,t,a){var s,i;let n={};if(!((s=e==null?void 0:e.shape)!=null&&s[1])||!((i=e==null?void 0:e.shape)!=null&&i[2]))return e;let r;if(a&&(n.cropped=fe.cropAndResize(e,[a],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let o=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],l=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];ys=[[0,0],o,l,[0,0]],n.pad=ir(n.cropped||e,ys),n.resize=fe.resizeBilinear(n.pad,[t,t]),r=ve(n.resize,ze.tf255)}else e.shape[1]!==t?(n.resize=fe.resizeBilinear(n.cropped||e,[t,t]),r=ve(n.resize,ze.tf255)):r=ve(n.cropped||e,ze.tf255);return Object.keys(n).forEach(o=>J(n[o])),r}function _1e(e,t,a){for(let n of e)n.position=[Math.trunc(n.position[0]*(t[0]+ys[2][0]+ys[2][1])/t[0]-ys[2][0]),Math.trunc(n.position[1]*(t[1]+ys[1][0]+ys[1][1])/t[1]-ys[1][0]),n.position[2]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1],2*n.position[2]/(t[0]+t[1])];if(a){let n=a[2]-a[0],r=a[3]-a[1];for(let s of e)s.positionRaw=[s.positionRaw[0]/r+a[1],s.positionRaw[1]/n+a[0],s.positionRaw[2]],s.position=[Math.trunc(s.positionRaw[0]*t[0]),Math.trunc(s.positionRaw[1]*t[1]),s.positionRaw[2]]}return e}function $1e(e){let t=e.find(o=>o.part==="leftPalm"),a=e.find(o=>o.part==="leftWrist"),n=e.find(o=>o.part==="leftIndex");t.position[2]=((a.position[2]||0)+(n.position[2]||0))/2;let r=e.find(o=>o.part==="rightPalm"),s=e.find(o=>o.part==="rightWrist"),i=e.find(o=>o.part==="rightIndex");r.position[2]=((s.position[2]||0)+(i.position[2]||0))/2}async function D1e(e,t,a){if(!(Ga!=null&&Ga.executor))return null;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=Ga==null?void 0:Ga.execute(e,F1e.landmarks);let r=(await n.poseflag.data())[0],s=await n.ld.data(),i=await n.world.data();Object.keys(n).forEach(f=>J(n[f]));let o=[],l=5;for(let f=0;ff.position),c=gs(p,[a[0],a[1]]),d={};for(let[f,m]of Object.entries(Zg)){let g=[];for(let y=0;yb.part===m[y]),A=u.find(b=>b.part===m[y+1]);x&&A&&g.push([x.position,A.position])}d[f]=g}return{id:0,score:Math.trunc(100*r)/100,box:c.box,boxRaw:c.boxRaw,keypoints:u,annotations:d}}async function ey(e,t){var s,i,o;let a=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>ae()-Lk,r=Jg<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&C0!==null)Jg++;else{let l=[];if((i=(s=t.body)==null?void 0:s.detector)!=null&&i.enabled){let u=Bk(e,224);l=await Ok(u,t,a),J(u)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let u=0;uJ(n[u])),r}async function ny(e,t){if(!(Ha!=null&&Ha.executor))return[];let a=(t.object.skipTime||0)>ae()-Hk,n=ay<(t.object.skipFrames||0);return t.skipAllowed&&a&&n&&ty.length>0?(ay++,ty):(ay=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],i=fe.resizeBilinear(e,[ol,ol]),o=t.object.enabled?Ha==null?void 0:Ha.execute(i,["tower_0/detections"]):null;Hk=ae(),J(i);let l=await P1e(o,s,t);ty=l,r(l)}))}var T0={};yr(T0,{connected:()=>sy,kpt:()=>ry});var ry=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],sy={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var Mt,Xk=0,Fa={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},iy=Number.MAX_SAFE_INTEGER;async function Kk(e){return ne.initial&&(Mt=null),Mt?e.debug&&K("cached model:",Mt.modelUrl):Mt=await Fe(e.body.modelPath),Mt}async function O1e(e,t){let[a,n]=e.shape,r=Q(e,[n*a]),s=ga(r,0),i=(await s.data())[0];if(i>t){let o=rr(r,0),l=_u(o,a),u=(await l.data())[0],p=ve(o,a),c=(await p.data())[0];return J([r,s,o,l,p]),[u,c,i]}return J([r,s]),[0,0,i]}async function oy(e,t){if(!(Mt!=null&&Mt.executor)||!(Mt!=null&&Mt.inputs[0].shape))return[];let a=(t.body.skipTime||0)>ae()-Xk,n=iy<(t.body.skipFrames||0);return t.skipAllowed&&a&&n&&Object.keys(Fa.keypoints).length>0?(iy++,[Fa]):(iy=0,new Promise(async r=>{let s=Pe(()=>{var f,m;let c=fe.resizeBilinear(e,[((f=Mt==null?void 0:Mt.inputs[0].shape)==null?void 0:f[2])||0,((m=Mt==null?void 0:Mt.inputs[0].shape)==null?void 0:m[1])||0],!1),d=te(c,ze.tf2);return ye(d,ze.tf1)}),i;if(t.body.enabled&&(i=Mt==null?void 0:Mt.execute(s)),Xk=ae(),J(s),i){Fa.keypoints.length=0;let c=Oe(i);J(i);let d=Ra(c,2);J(c);for(let h=0;h(t.body.minConfidence||0)&&Fa.keypoints.push({score:Math.round(100*g)/100,part:ry[h],positionRaw:[f/Mt.inputs[0].shape[2],m/Mt.inputs[0].shape[1]],position:[Math.round(e.shape[2]*f/Mt.inputs[0].shape[2]),Math.round(e.shape[1]*m/Mt.inputs[0].shape[1])]})}d.forEach(h=>J(h))}Fa.score=Fa.keypoints.reduce((c,d)=>d.score>c?d.score:c,0);let o=Fa.keypoints.map(c=>c.position[0]),l=Fa.keypoints.map(c=>c.position[1]);Fa.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let u=Fa.keypoints.map(c=>c.positionRaw[0]),p=Fa.keypoints.map(c=>c.positionRaw[1]);Fa.boxRaw=[Math.min(...u),Math.min(...p),Math.max(...u)-Math.min(...u),Math.max(...p)-Math.min(...p)];for(let[c,d]of Object.entries(sy)){let h=[];for(let f=0;fy.part===d[f]),g=Fa.keypoints.find(y=>y.part===d[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}Fa.annotations[c]=h}r([Fa])}))}var Ku=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],N0=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],R0=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],E0=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Qk=(e,t,a)=>{let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],s=e.landmarks.map(i=>[(i[0]+a[0])*t[0],(i[1]+a[1])*t[1]]);return{startPoint:n,endPoint:r,landmarks:s,confidence:e.confidence}},ly=(e,t,a)=>{let n=t.shape[1],r=t.shape[2],s=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],i=fe.cropAndResize(t,[s],[0],a),o=ve(i,ze.tf255);return J(i),o},M0=(e,t)=>{let a=N0(e),n=Ku(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[a[0]-r[0],a[1]-r[1]],endPoint:[a[0]+r[0],a[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence,size:n}},F0=e=>{let t=N0(e),a=Ku(e),n=Math.max(...a)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(a[0]),Math.round(a[1])]}},e9=e=>{let t=e.map(n=>n[0]),a=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...a)],endPoint:[Math.max(...t),Math.max(...a)],landmarks:e}},uy=[[1,0,0],[0,1,0],[0,0,1]],z1e=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),L1e=(e,t)=>z1e(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Zk=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],ll=(e,t)=>{let a=0;for(let n=0;n{let a=[];for(let n=0;n{let a=[],n=e.length;for(let r=0;r{let a=Math.cos(e),n=Math.sin(e),r=[[a,-n,0],[n,a,0],[0,0,1]],s=Zk(t[0],t[1]),i=Jk(s,r),o=Zk(-t[0],-t[1]);return Jk(i,o)},B1e=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],a=[e[0][2],e[1][2]],n=[-ll(t[0],a),-ll(t[1],a)];return[t[0].concat(n[0]),t[1].concat(n[1]),[0,0,1]]},V1e=(e,t)=>[ll(e,t[0]),ll(e,t[1])];function a9(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},a=[];for(let n=0;n[s[0]/r*(h[0]-r/2),s[1]/r*(h[1]-r/2),h[2]||0]),o=a&&a!==0&&Math.abs(a)>.2,l=o?t9(a,[0,0]):uy,u=o?i.map(h=>[...V1e(h,l),h[2]]):i,p=o?B1e(n):uy,c=N0(t),d=[ll(c,p[0]),ll(c,p[1])];return u.map(h=>[Math.trunc(h[0]+d[0]),Math.trunc(h[1]+d[1]),Math.trunc(h[2]||0)])}function r9(e,t,a,n){let r=t.landmarks.length>=Hg.count?Hg.symmetryLine:al.symmetryLine,s=0,i=uy,o;if(e&&ne.kernels.includes("rotatewithoffset"))if(s=L1e(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let u=N0(t),p=[u[0]/a.shape[2],u[1]/a.shape[1]],c=fe.rotateWithOffset(a,s,0,[p[0],p[1]]);i=t9(-s,u),o=ly(t,c,[n,n]),J(c)}else o=ly(t,a,[n,n]);else o=ly(t,a,[n,n]);return[s,i,o]}var U1e=e=>{let t=e.map(n=>n[0]),a=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...a)+(Math.max(...a)-Math.min(...a))/2]},s9=(e,t)=>{let a=U1e(e),n=Ku(t);return{startPoint:[a[0]-n[0]/2,a[1]-n[1]/2],endPoint:[a[0]+n[0]/2,a[1]+n[1]/2]}};var i9=6,G1e=1.4,Vn,_0=null,xs=0,Yu=null,o9=()=>xs;async function l9(e){var t;return ne.initial&&(Vn=null),Vn?e.debug&&K("cached model:",Vn.modelUrl):Vn=await Fe((t=e.face.detector)==null?void 0:t.modelPath),xs=Vn.executor&&Vn.inputs[0].shape?Vn.inputs[0].shape[2]:256,Yu=Ue(xs,"int32"),_0=Zn(a9(xs)),Vn}function H1e(e){if(!_0||!Yu)return gn([0,0]);let t={};t.boxStarts=De(e,[0,1],[-1,2]),t.centers=ke(t.boxStarts,_0),t.boxSizes=De(e,[0,3],[-1,2]),t.boxSizesNormalized=ve(t.boxSizes,Yu),t.centersNormalized=ve(t.centers,Yu),t.halfBoxSize=ve(t.boxSizesNormalized,ze.tf2),t.starts=ye(t.centersNormalized,t.halfBoxSize),t.ends=ke(t.centersNormalized,t.halfBoxSize),t.startNormalized=te(t.starts,Yu),t.endNormalized=te(t.ends,Yu);let a=Fu([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>J(t[n])),a}async function u9(e,t){var o,l,u,p,c,d;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let a={};a.resized=fe.resizeBilinear(e,[xs,xs]),a.div=ve(a.resized,ze.tf127),a.normalized=ye(a.div,ze.tf05);let n=Vn==null?void 0:Vn.execute(a.normalized);if(Array.isArray(n)&&n.length>2){let h=n.sort((f,m)=>f.size-m.size);a.concat384=lt([h[0],h[2]],2),a.concat512=lt([h[1],h[3]],2),a.concat=lt([a.concat512,a.concat384],1),a.batch=Oe(a.concat,[0])}else Array.isArray(n)?a.batch=Oe(n[0]):a.batch=Oe(n);J(n),a.boxes=H1e(a.batch),a.logits=De(a.batch,[0,0],[-1,1]),a.sigmoid=Wa(a.logits),a.scores=Oe(a.sigmoid),a.nms=await fe.nonMaxSuppressionAsync(a.boxes,a.scores,((o=t.face.detector)==null?void 0:o.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let r=await a.nms.array(),s=[],i=await a.scores.data();for(let h=0;h(((p=t.face.detector)==null?void 0:p.minConfidence)||0)){let m={};m.bbox=De(a.boxes,[r[h],0],[1,-1]),m.slice=De(a.batch,[r[h],i9-1],[1,-1]),m.squeeze=Oe(m.slice),m.landmarks=Q(m.squeeze,[i9,-1]);let g=await m.bbox.data(),y={startPoint:[g[0],g[1]],endPoint:[g[2],g[3]],landmarks:await m.landmarks.array(),confidence:f};m.anchor=De(_0,[r[h],0],[1,2]);let x=await m.anchor.data(),A=Qk(y,[(e.shape[2]||0)/xs,(e.shape[1]||0)/xs],x),b=M0(A,t.face.scale||G1e),w=F0(b);w.size[0]>(((c=t.face.detector)==null?void 0:c.minSize)||0)&&w.size[1]>(((d=t.face.detector)==null?void 0:d.minSize)||0)&&s.push(w),Object.keys(m).forEach(C=>J(m[C]))}}return Object.keys(a).forEach(h=>J(a[h])),s}var nn,As=0,j1e=2.3,py=_n.leftEyeLower0,cy=_n.rightEyeLower0,Zu={leftBounds:[py[0],py[py.length-1]],rightBounds:[cy[0],cy[cy.length-1]]},Ju={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function f9(e){var t,a;return ne.initial&&(nn=null),nn?e.debug&&K("cached model:",nn.modelUrl):nn=await Fe((t=e.face.iris)==null?void 0:t.modelPath),As=nn!=null&&nn.executor&&((a=nn.inputs)!=null&&a[0].shape)?nn.inputs[0].shape[2]:0,As===-1&&(As=64),nn}function $0(e,t,a,n){for(let r=0;r{let t=e[Zu.leftBounds[0]][2],a=e[Zu.rightBounds[0]][2];return t-a},p9=(e,t,a,n,r,s=!1)=>{let i=F0(M0(e9([e[a],e[n]]),j1e)),o=Ku(i),l=fe.cropAndResize(t,[[i.startPoint[1]/r,i.startPoint[0]/r,i.endPoint[1]/r,i.endPoint[0]/r]],[0],[As,As]);if(s&&ne.kernels.includes("flipleftright")){let u=fe.flipLeftRight(l);J(l),l=u}return{box:i,boxSize:o,crop:l}},c9=(e,t,a,n=!1)=>{let r=[];for(let s=0;s{let n=e[_n[`${a}EyeUpper0`][Ju.upperCenter]][2],r=e[_n[`${a}EyeLower0`][Ju.lowerCenter]][2],s=(n+r)/2;return t.map((i,o)=>{let l=s;return o===2?l=n:o===4&&(l=r),[i[0],i[1],l]})};async function m9(e,t,a){if(!(nn!=null&&nn.executor))return e;let{box:n,boxSize:r,crop:s}=p9(e,t,Zu.leftBounds[0],Zu.leftBounds[1],a,!0),{box:i,boxSize:o,crop:l}=p9(e,t,Zu.rightBounds[0],Zu.rightBounds[1],a,!0),u=lt([s,l]);J(s),J(l);let p=nn.execute(u);J(u);let c=await p.data();J(p);let d=c.slice(0,Ju.numCoordinates*3),{rawCoords:h,iris:f}=c9(d,n,r,!0),m=c.slice(Ju.numCoordinates*3),{rawCoords:g,iris:y}=c9(m,i,o,!1),x=q1e(e);Math.abs(x)<30?($0(e,h,"left",null),$0(e,g,"right",null)):x<1?$0(e,h,"left",["EyeUpper0","EyeLower0"]):$0(e,g,"right",["EyeUpper0","EyeLower0"]);let A=h9(e,f,"left"),b=h9(e,y,"right");return e.concat(A).concat(b)}async function y9(e,t){var s,i,o,l,u,p,c,d,h,f;let a={lips:await((i=(s=t.filter(m=>m.size===160))==null?void 0:s[0])==null?void 0:i.data()),irisL:await((l=(o=t.filter(m=>m.size===10))==null?void 0:o[0])==null?void 0:l.data()),eyeL:await((p=(u=t.filter(m=>m.size===142))==null?void 0:u[0])==null?void 0:p.data()),irisR:await((d=(c=t.filter(m=>m.size===10))==null?void 0:c[1])==null?void 0:d.data()),eyeR:await((f=(h=t.filter(m=>m.size===142))==null?void 0:h[1])==null?void 0:f.data())};for(let m of Object.values(a))if(!m)return e;let n=rl.reduce((m,g)=>m+=e[g][2],0)/rl.length;for(let m=0;mm+=e[g][2],0)/sl.length;for(let m=0;mae()-dr.timestamp,n=dr.skipped<(((u=t.face.detector)==null?void 0:u.skipFrames)||0);!t.skipAllowed||!a||!n||dr.boxes.length===0?(dr.boxes=await u9(e,t),dr.timestamp=ae(),dr.skipped=0):dr.skipped++;let r=[],s=[],i=0,o=tc;for(let x=0;x[T[0]/(e.shape[2]||0),T[1]/(e.shape[1]||0),(T[2]||0)/o]);for(let T of Object.keys(al))C.annotations[T]=[C.mesh[al[T]]]}else if(!Ct)t.debug&&K("face mesh detection requested, but model is not loaded");else{if((h=t.face.attention)!=null&&h.enabled&&!ne.kernels.includes("atan2"))return t.face.attention.enabled=!1,J(C.tensor),r;let T=Ct.execute(C.tensor),M=await T.find(F=>F.shape[F.shape.length-1]===1).data();if(C.faceScore=Math.round(100*M[0])/100,C.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(A.confidence=C.faceScore,t.face.mesh.keepInvalid){C.box=R0(A,e),C.boxRaw=E0(A,e),C.score=C.boxScore,C.mesh=A.landmarks,C.meshRaw=C.mesh.map(F=>[F[0]/(e.shape[2]||1),F[1]/(e.shape[1]||1),(F[2]||0)/o]);for(let F of Object.keys(al))C.annotations[F]=[C.mesh[al[F]]]}}else{let F=T.find(O=>O.shape[O.shape.length-1]===1404),E=Q(F,[-1,3]),I=await E.array();J(E),(m=t.face.attention)!=null&&m.enabled?I=await y9(I,T):(g=t.face.iris)!=null&&g.enabled&&(I=await m9(I,C.tensor,tc)),C.mesh=n9(I,A,b,w,tc),C.meshRaw=C.mesh.map(O=>[O[0]/(e.shape[2]||0),O[1]/(e.shape[1]||0),(O[2]||0)/o]);for(let O of Object.keys(_n))C.annotations[O]=_n[O].map(B=>C.mesh[B]);C.score=C.faceScore;let _={...s9(C.mesh,A),confidence:A.confidence,landmarks:A.landmarks,size:A.size};C.box=R0(_,e),C.boxRaw=E0(_,e),s.push(_)}J(T)}C.score>(((y=t.face.detector)==null?void 0:y.minConfidence)||1)?r.push(C):J(C.tensor)}return dr.boxes=s,r}async function A9(e){var t,a,n,r,s,i;return ne.initial&&(Ct=null),(t=e.face.attention)!=null&&t.enabled&&(Ct!=null&&Ct.signature)&&Object.keys(((a=Ct==null?void 0:Ct.signature)==null?void 0:a.outputs)||{}).length<6&&(Ct=null),Ct?e.debug&&K("cached model:",Ct.modelUrl):(n=e.face.attention)!=null&&n.enabled?Ct=await Fe(e.face.attention.modelPath):Ct=await Fe((r=e.face.mesh)==null?void 0:r.modelPath),tc=Ct.executor&&((s=Ct==null?void 0:Ct.inputs)!=null&&s[0].shape)?(i=Ct==null?void 0:Ct.inputs)==null?void 0:i[0].shape[2]:256,Ct}var b9=nl,v9=Qp;var my=[],ra,D0=[],w9=0,k9=0,fy=Number.MAX_SAFE_INTEGER,gy=!1;async function I9(e){var t,a,n;return ne.initial&&(ra=null),ra?e.debug&&K("cached model:",ra.modelUrl):(ra=await Fe((t=e.face.emotion)==null?void 0:t.modelPath),gy=((n=(a=ra==null?void 0:ra.inputs)==null?void 0:a[0].shape)==null?void 0:n[3])===3,gy?my=["angry","disgust","fear","happy","neutral","sad","surprise"]:my=["angry","disgust","fear","happy","sad","surprise","neutral"]),ra}async function yy(e,t,a,n){var i,o;if(!ra)return[];let r=fy<(((i=t.face.emotion)==null?void 0:i.skipFrames)||0),s=(((o=t.face.emotion)==null?void 0:o.skipTime)||0)>ae()-k9;return t.skipAllowed&&s&&r&&w9===n&&D0[a]&&D0[a].length>0?(fy++,D0[a]):(fy=0,new Promise(async l=>{var p,c,d;let u=[];if((p=t.face.emotion)!=null&&p.enabled){let h={},f=ra!=null&&ra.inputs[0].shape?ra.inputs[0].shape[2]:0;if(((c=t.face.emotion)==null?void 0:c.crop)>0){let g=(d=t.face.emotion)==null?void 0:d.crop,y=[[g,g,1-g,1-g]];h.resize=fe.cropAndResize(e,y,[0],[f,f])}else h.resize=fe.resizeBilinear(e,[f,f],!1);gy?(h.mul=te(h.resize,255),h.normalize=ye(h.mul,[103.939,116.779,123.68]),h.emotion=ra==null?void 0:ra.execute(h.normalize)):(h.channels=te(h.resize,ze.rgb),h.grayscale=ot(h.channels,3,!0),h.grayscaleSub=ye(h.grayscale,ze.tf05),h.grayscaleMul=te(h.grayscaleSub,ze.tf2),h.emotion=ra==null?void 0:ra.execute(h.grayscaleMul)),k9=ae();let m=await h.emotion.data();for(let g=0;g(t.face.emotion.minConfidence||0)&&u.push({score:Math.min(.99,Math.trunc(100*m[g])/100),emotion:my[g]});u.sort((g,y)=>y.score-g.score),Object.keys(h).forEach(g=>J(h[g]))}D0[a]=u,w9=n,l(u)}))}var sa,bs=[],C9=0,T9=0,xy=Number.MAX_SAFE_INTEGER;async function N9(e){var t;return ne.initial&&(sa=null),sa?e.debug&&K("cached model:",sa.modelUrl):sa=await Fe((t=e.face.description)==null?void 0:t.modelPath),sa}function K1e(e,t){var s,i;let a=e.image||e.tensor||e;if(!(sa!=null&&sa.inputs[0].shape))return a;let n;if(((s=t.face.description)==null?void 0:s.crop)>0){let o=(i=t.face.description)==null?void 0:i.crop,l=[[o,o,1-o,1-o]];n=fe.cropAndResize(a,l,[0],[sa.inputs[0].shape[2],sa.inputs[0].shape[1]])}else n=fe.resizeBilinear(a,[sa.inputs[0].shape[2],sa.inputs[0].shape[1]],!1);let r=te(n,ze.tf255);return J(n),r}async function Ay(e,t,a,n){var o,l,u,p;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(sa!=null&&sa.executor))return r;let s=xy<(((o=t.face.description)==null?void 0:o.skipFrames)||0),i=(((l=t.face.description)==null?void 0:l.skipTime)||0)>ae()-C9;return t.skipAllowed&&s&&i&&T9===n&&((u=bs==null?void 0:bs[a])==null?void 0:u.age)>0&&((p=bs==null?void 0:bs[a])==null?void 0:p.genderScore)>0?(xy++,bs[a]):(xy=0,new Promise(async c=>{var d;if((d=t.face.description)!=null&&d.enabled){let h=K1e(e,t),f=sa==null?void 0:sa.execute(h);C9=ae(),J(h);let g=await f.find(N=>N.shape[1]===1).data(),y=Math.trunc(200*Math.abs(g[0]-.5))/100;y>(t.face.description.minConfidence||0)&&(r.gender=g[0]<=.5?"female":"male",r.genderScore=Math.min(.99,y));let x=rr(f.find(N=>N.shape[1]===100),1),A=(await x.data())[0];J(x);let w=await f.find(N=>N.shape[1]===100).data();r.age=Math.round(w[A-1]>w[A+1]?10*A-100*w[A-1]:10*A+100*w[A+1])/10,(Number.isNaN(g[0])||Number.isNaN(w[0]))&&K("faceres error:",{model:sa,result:f});let C=f.find(N=>N.shape[1]===1024),T=C?await C.data():[];r.descriptor=Array.from(T),f.forEach(N=>J(N))}bs[a]=r,T9=n,c(r)}))}var Qu=.1,by=.5;function Y1e(e,t,a){let n=!1,r=a.length-1;for(let s=0;st!=a[r].y>t&&e<(a[r].x-a[s].x)*(t-a[s].y)/(a[r].y-a[s].y)+a[s].x&&(n=!n);return n}async function E9(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,a=e.tensor.shape[1]||0,n=await e.tensor.buffer(),r=[];for(let i of _n.silhouette)r.push({x:(e.mesh[i][0]-e.box[0])/e.box[2],y:(e.mesh[i][1]-e.box[1])/e.box[3]});Qu&&Qu>0&&(r=r.map(i=>({x:i.x>.5?i.x+Qu:i.x-Qu,y:i.y>.5?i.y+Qu:i.y-Qu})));for(let i=0;iae()-F9,s=vy<(((o=t.face.antispoof)==null?void 0:o.skipFrames)||0);return t.skipAllowed&&r&&s&&M9===n&&P0[a]?(vy++,P0[a]):(vy=0,new Promise(async l=>{let u=fe.resizeBilinear(e,[ia!=null&&ia.inputs[0].shape?ia.inputs[0].shape[2]:0,ia!=null&&ia.inputs[0].shape?ia.inputs[0].shape[1]:0],!1),p=ia==null?void 0:ia.execute(u),c=(await p.data())[0];P0[a]=Math.round(100*c)/100,M9=n,F9=ae(),J([u,p]),l(P0[a])}))}var oa,O0=[],ky=Number.MAX_SAFE_INTEGER,D9=0,P9=0;async function O9(e){var t;return ne.initial&&(oa=null),oa?e.debug&&K("cached model:",oa.modelUrl):oa=await Fe((t=e.face.liveness)==null?void 0:t.modelPath),oa}async function Iy(e,t,a,n){var i,o;if(!(oa!=null&&oa.executor))return 0;let r=(((i=t.face.liveness)==null?void 0:i.skipTime)||0)>ae()-P9,s=ky<(((o=t.face.liveness)==null?void 0:o.skipFrames)||0);return t.skipAllowed&&r&&s&&D9===n&&O0[a]?(ky++,O0[a]):(ky=0,new Promise(async l=>{let u=fe.resizeBilinear(e,[oa!=null&&oa.inputs[0].shape?oa.inputs[0].shape[2]:0,oa!=null&&oa.inputs[0].shape?oa.inputs[0].shape[1]:0],!1),p=oa==null?void 0:oa.execute(u),c=(await p.data())[0];O0[a]=Math.round(100*c)/100,D9=n,P9=ae(),J([u,p]),l(O0[a])}))}var $n,Sy=[],J1e=["white","black","asian","indian","other"],Q1e=[15,23,28,35.5,45.5,55.5,65],L9=0,W9=0,Cy=Number.MAX_SAFE_INTEGER;async function B9(e){var t;return ne.initial&&($n=null),$n?e.debug&&K("cached model:",$n.modelUrl):$n=await Fe((t=e.face.gear)==null?void 0:t.modelPath),$n}async function Ty(e,t,a,n){var i,o;if(!$n)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=Cy<(((i=t.face.gear)==null?void 0:i.skipFrames)||0),s=(((o=t.face.gear)==null?void 0:o.skipTime)||0)>ae()-W9;return t.skipAllowed&&s&&r&&L9===n&&Sy[a]?(Cy++,Sy[a]):(Cy=0,new Promise(async l=>{var y,x,A,b;if(!($n!=null&&$n.inputs[0].shape))return;let u={},p=[[0,.1,.9,.9]];if(((y=t.face.gear)==null?void 0:y.crop)>0){let w=(x=t.face.gear)==null?void 0:x.crop;p=[[w,w,1-w,1-w]]}u.resize=fe.cropAndResize(e,p,[0],[$n.inputs[0].shape[2],$n.inputs[0].shape[1]]);let c={age:0,gender:"unknown",genderScore:0,race:[]};(A=t.face.gear)!=null&&A.enabled&&([u.age,u.gender,u.race]=$n.execute(u.resize,["age_output","gender_output","race_output"]));let d=await u.gender.data();c.gender=d[0]>d[1]?"male":"female",c.genderScore=Math.round(100*(d[0]>d[1]?d[0]:d[1]))/100;let h=await u.race.data();for(let w=0;w(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&c.race.push({score:Math.round(100*h[w])/100,race:J1e[w]});c.race.sort((w,C)=>C.score-w.score);let m=Array.from(await u.age.data()).map((w,C)=>[Q1e[C],w]).sort((w,C)=>C[1]-w[1]),g=m[0][0];for(let w=1;wJ(u[w])),Sy[a]=c,L9=n,W9=ae(),l(c)}))}var _a,z0=[],U9=0,G9=0,Ny=Number.MAX_SAFE_INTEGER;async function H9(e){return ne.initial&&(_a=null),_a?e.debug&&K("cached model:",_a.modelUrl):_a=await Fe(e.face.ssrnet.modelPathAge),_a}async function Ry(e,t,a,n){var i,o,l,u;if(!_a)return{age:0};let r=Ny<(((i=t.face.ssrnet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.ssrnet)==null?void 0:o.skipTime)||0)>ae()-G9;return t.skipAllowed&&r&&s&&U9===n&&((l=z0[a])!=null&&l.age)&&((u=z0[a])==null?void 0:u.age)>0?(Ny++,z0[a]):(Ny=0,new Promise(async p=>{var h,f,m;if(!(_a!=null&&_a.inputs)||!_a.inputs[0]||!_a.inputs[0].shape)return;let c={};if(((h=t.face.ssrnet)==null?void 0:h.crop)>0){let g=(f=t.face.ssrnet)==null?void 0:f.crop,y=[[g,g,1-g,1-g]];c.resize=fe.cropAndResize(e,y,[0],[_a.inputs[0].shape[2],_a.inputs[0].shape[1]])}else c.resize=fe.resizeBilinear(e,[_a.inputs[0].shape[2],_a.inputs[0].shape[1]],!1);c.enhance=te(c.resize,ze.tf255);let d={age:0};if((m=t.face.ssrnet)!=null&&m.enabled&&(c.age=_a.execute(c.enhance)),c.age){let g=await c.age.data();d.age=Math.trunc(10*g[0])/10}Object.keys(c).forEach(g=>J(c[g])),z0[a]=d,U9=n,G9=ae(),p(d)}))}var Aa,L0=[],q9=0,X9=0,Ey=Number.MAX_SAFE_INTEGER,My=[.2989,.587,.114];async function K9(e){var t;return ne.initial&&(Aa=null),Aa?e.debug&&K("cached model:",Aa.modelUrl):Aa=await Fe((t=e.face.ssrnet)==null?void 0:t.modelPathGender),Aa}async function Fy(e,t,a,n){var i,o,l,u;if(!Aa)return{gender:"unknown",genderScore:0};let r=Ey<(((i=t.face.ssrnet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.ssrnet)==null?void 0:o.skipTime)||0)>ae()-X9;return t.skipAllowed&&r&&s&&q9===n&&((l=L0[a])!=null&&l.gender)&&((u=L0[a])==null?void 0:u.genderScore)>0?(Ey++,L0[a]):(Ey=0,new Promise(async p=>{var f,m,g;if(!(Aa!=null&&Aa.inputs[0].shape))return;let c={};if(((f=t.face.ssrnet)==null?void 0:f.crop)>0){let y=(m=t.face.ssrnet)==null?void 0:m.crop,x=[[y,y,1-y,1-y]];c.resize=fe.cropAndResize(e,x,[0],[Aa.inputs[0].shape[2],Aa.inputs[0].shape[1]])}else c.resize=fe.resizeBilinear(e,[Aa.inputs[0].shape[2],Aa.inputs[0].shape[1]],!1);c.enhance=Pe(()=>{var x,A;let y;if(((A=(x=Aa==null?void 0:Aa.inputs)==null?void 0:x[0].shape)==null?void 0:A[3])===1){let[b,w,C]=Ca(c.resize,3,3),T=te(b,My[0]),N=te(w,My[1]),M=te(C,My[2]),F=Eh([T,N,M]);y=te(ye(F,ze.tf05),2)}else y=te(ye(c.resize,ze.tf05),2);return y});let d={gender:"unknown",genderScore:0};(g=t.face.ssrnet)!=null&&g.enabled&&(c.gender=Aa.execute(c.enhance));let h=await c.gender.data();d.gender=h[0]>h[1]?"female":"male",d.genderScore=h[0]>h[1]?Math.trunc(100*h[0])/100:Math.trunc(100*h[1])/100,Object.keys(c).forEach(y=>J(c[y])),L0[a]=d,q9=n,X9=ae(),p(d)}))}var rn,_y=[],Z9=0,J9=0,Q9=Number.MAX_SAFE_INTEGER;async function eI(e){var t;return ne.initial&&(rn=null),rn?e.debug&&K("cached model:",rn.modelUrl):rn=await Fe((t=e.face.mobilefacenet)==null?void 0:t.modelPath),rn}async function $y(e,t,a,n){var i,o;if(!(rn!=null&&rn.executor))return[];let r=Q9<(((i=t.face.mobilefacenet)==null?void 0:i.skipFrames)||0),s=(((o=t.face.mobilefacenet)==null?void 0:o.skipTime)||0)>ae()-J9;return t.skipAllowed&&s&&r&&Z9===n&&_y[a]?(Q9++,_y[a]):new Promise(async l=>{var p;let u=[];if((p=t.face.mobilefacenet)!=null&&p.enabled&&(rn!=null&&rn.inputs[0].shape)){let c={};c.crop=fe.resizeBilinear(e,[rn.inputs[0].shape[2],rn.inputs[0].shape[1]],!1),c.data=rn.execute(c.crop);let d=await c.data.data();u=Array.from(d),Object.keys(c).forEach(h=>J(c[h]))}_y[a]=u,Z9=n,J9=ae(),l(u)})}var sn,Dy=[],aI=0,nI=0,rI=Number.MAX_SAFE_INTEGER;async function sI(e){return ne.initial&&(sn=null),sn?e.debug&&K("cached model:",sn.modelUrl):sn=await Fe(e.face.insightface.modelPath),sn}async function Py(e,t,a,n){var i,o;if(!(sn!=null&&sn.executor))return[];let r=rI<(((i=t.face.insightface)==null?void 0:i.skipFrames)||0),s=(((o=t.face.insightface)==null?void 0:o.skipTime)||0)>ae()-nI;return t.skipAllowed&&s&&r&&aI===n&&Dy[a]?(rI++,Dy[a]):new Promise(async l=>{var p;let u=[];if((p=t.face.insightface)!=null&&p.enabled&&(sn!=null&&sn.inputs[0].shape)){let c={};c.crop=fe.resizeBilinear(e,[sn.inputs[0].shape[2],sn.inputs[0].shape[1]],!1),c.data=sn.execute(c.crop);let d=await c.data.data();u=Array.from(d),Object.keys(c).forEach(h=>J(c[h]))}Dy[a]=u,aI=n,nI=ae(),l(u)})}var e3e=e=>{let t=(c,d)=>Math.atan2(c[1]-d[1],c[0]-d[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let a=[0,-.1],n=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],i=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],o=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(i[0]-s[0])/o[0]-a[0],n*(s[1]-i[1])/o[1]-a[1]],u=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return u=Math.min(u,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:u}},oI=(e,t)=>{let a=m=>{let g=Math.sqrt(m[0]*m[0]+m[1]*m[1]+m[2]*m[2]);return m[0]/=g,m[1]/=g,m[2]/=g,m},n=(m,g)=>{let y=m[0]-g[0],x=m[1]-g[1],A=m[2]-g[2];return[y,x,A]},r=(m,g)=>{let y=m[1]*g[2]-m[2]*g[1],x=m[2]*g[0]-m[0]*g[2],A=m[0]*g[1]-m[1]*g[0];return[y,x,A]},s=m=>{let[g,y,x,A,b,w,C,T,N]=m,M,F,E;return A<1?A>-1?(E=Math.asin(A),F=Math.atan2(-C,g),M=Math.atan2(-w,b)):(E=-Math.PI/2,F=-Math.atan2(T,N),M=0):(E=Math.PI/2,F=Math.atan2(T,N),M=0),Number.isNaN(M)&&(M=0),Number.isNaN(F)&&(F=0),Number.isNaN(E)&&(E=0),{pitch:2*-M,yaw:2*-F,roll:2*-E}},i=e.meshRaw;if(!i||i.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let o=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[i[10],i[152],i[234],i[454]].map(m=>[m[0]*t[0]/o,m[1]*t[1]/o,m[2]]),u=a(n(l[1],l[0])),p=a(n(l[3],l[2])),c=a(r(p,u));p=r(u,c);let d=[p[0],p[1],p[2],u[0],u[1],u[2],c[0],c[1],c[2]],h=s(d),f=i.length===478?e3e(e):{bearing:0,strength:0};return{angle:h,matrix:d,gaze:f}};function lI(e,t){let a=e==null?void 0:e.annotations;if(!(a!=null&&a.leftEyeIris)||!(a!=null&&a.rightEyeIris))return 0;let n=Math.max(Math.abs(a.leftEyeIris[3][0]-a.leftEyeIris[1][0]),Math.abs(a.rightEyeIris[3][0]-a.rightEyeIris[1][0]))/t;return Math.round(1.17/n)/100}var Oy=async(e,t)=>{var f,m,g,y,x,A,b,w,C,T,N,M,F,E,I,_,O,B,$,U,G,q,H;let a=ae(),n,r,s,i,o,l,u,p,c,d=[];e.state="run:face";let h=await x9(t,e.config);if(e.performance.face=ne.perfadd?(e.performance.face||0)+Math.trunc(ae()-a):Math.trunc(ae()-a),!t.shape||t.shape.length!==4)return[];if(!h)return[];for(let V=0;V200?oI(h[V],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?i=(m=e.config.face.emotion)!=null&&m.enabled?yy(h[V].tensor||Ve([]),e.config,V,h.length):[]:(e.state="run:emotion",a=ae(),i=(g=e.config.face.emotion)!=null&&g.enabled?await yy(h[V].tensor||Ve([]),e.config,V,h.length):[],e.performance.emotion=ne.perfadd?(e.performance.emotion||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?u=(y=e.config.face.antispoof)!=null&&y.enabled?wy(h[V].tensor||Ve([]),e.config,V,h.length):0:(e.state="run:antispoof",a=ae(),u=(x=e.config.face.antispoof)!=null&&x.enabled?await wy(h[V].tensor||Ve([]),e.config,V,h.length):0,e.performance.antispoof=ne.perfadd?(e.performance.antispoof||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?p=(A=e.config.face.liveness)!=null&&A.enabled?Iy(h[V].tensor||Ve([]),e.config,V,h.length):0:(e.state="run:liveness",a=ae(),p=(b=e.config.face.liveness)!=null&&b.enabled?await Iy(h[V].tensor||Ve([]),e.config,V,h.length):0,e.performance.liveness=ne.perfadd?(e.performance.antispoof||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(w=e.config.face.gear)!=null&&w.enabled?Ty(h[V].tensor||Ve([]),e.config,V,h.length):null:(e.state="run:gear",a=ae(),r=(C=e.config.face.gear)!=null&&C.enabled?await Ty(h[V].tensor||Ve([]),e.config,V,h.length):null,e.performance.gear=Math.trunc(ae()-a)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(n=(T=e.config.face.ssrnet)!=null&&T.enabled?Ry(h[V].tensor||Ve([]),e.config,V,h.length):null,s=(N=e.config.face.ssrnet)!=null&&N.enabled?Fy(h[V].tensor||Ve([]),e.config,V,h.length):null):(e.state="run:ssrnet",a=ae(),n=(M=e.config.face.ssrnet)!=null&&M.enabled?await Ry(h[V].tensor||Ve([]),e.config,V,h.length):null,s=(F=e.config.face.ssrnet)!=null&&F.enabled?await Fy(h[V].tensor||Ve([]),e.config,V,h.length):null,e.performance.ssrnet=Math.trunc(ae()-a)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?o=(E=e.config.face.mobilefacenet)!=null&&E.enabled?$y(h[V].tensor||Ve([]),e.config,V,h.length):null:(e.state="run:mobilefacenet",a=ae(),o=(I=e.config.face.mobilefacenet)!=null&&I.enabled?await $y(h[V].tensor||Ve([]),e.config,V,h.length):null,e.performance.mobilefacenet=Math.trunc(ae()-a)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(_=e.config.face.insightface)!=null&&_.enabled?Py(h[V].tensor||Ve([]),e.config,V,h.length):null:(e.state="run:mobilefacenet",a=ae(),l=(O=e.config.face.insightface)!=null&&O.enabled?await Py(h[V].tensor||Ve([]),e.config,V,h.length):null,e.performance.mobilefacenet=Math.trunc(ae()-a)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?c=Ay(h[V].tensor||Ve([]),e.config,V,h.length):(e.state="run:description",a=ae(),c=await Ay(h[V].tensor||Ve([]),e.config,V,h.length),e.performance.description=ne.perfadd?(e.performance.description||0)+Math.trunc(ae()-a):Math.trunc(ae()-a)),e.analyze("End Description:"),e.config.async&&([n,s,i,o,l,c,r,u,p]=await Promise.all([n,s,i,o,l,c,r,u,p])),e.analyze("Finish Face:"),(B=e.config.face.ssrnet)!=null&&B.enabled&&n&&s&&(c={...c,age:n.age,gender:s.gender,genderScore:s.genderScore}),($=e.config.face.gear)!=null&&$.enabled&&r&&(c={...c,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),(U=e.config.face.mobilefacenet)!=null&&U.enabled&&o&&(c.descriptor=o),(G=e.config.face.insightface)!=null&&G.enabled&&l&&(c.descriptor=l);let X=(q=e.config.face.iris)!=null&&q.enabled?lI(h[V],t.shape[2]):0,re=(H=e.config.face.detector)!=null&&H.return?Oe(h[V].tensor):null;J(h[V].tensor),h[V].tensor&&delete h[V].tensor;let ee={...h[V],id:V};c.age&&(ee.age=c.age),c.gender&&(ee.gender=c.gender),c.genderScore&&(ee.genderScore=c.genderScore),c.descriptor&&(ee.embedding=c.descriptor),c.race&&(ee.race=c.race),i&&(ee.emotion=i),u&&(ee.real=u),p&&(ee.live=p),X>0&&(ee.distance=X),Z&&(ee.rotation=Z),re&&(ee.tensor=re),d.push(ee),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),d};var $a={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>$a.nameMapping[e],getPoints:e=>$a.pointsMapping[e]},ws={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>ws.nameMapping[e]},Ft={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>Ft.nameMapping[e]},vs=class{constructor(t){he(this,"name");he(this,"curls");he(this,"directions");he(this,"weights");he(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,a,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([a,n])}direction(t,a,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([a,n])}weight(t,a){this.weights[t]=a;let n=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/n)}matchAgainst(t,a){let n=0;for(let r in t){let s=t[r],i=this.curls[r];if(typeof i=="undefined"){n+=this.weightsRelative[r];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[r];break}}for(let r in a){let s=a[r],i=this.directions[r];if(typeof i=="undefined"){n+=this.weightsRelative[r];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[r];break}}return n/10}};var{thumb:Un,index:Fr,middle:_r,ring:ul,pinky:dl}=$a,{none:Gn,half:a3e,full:Hn}=ws,{verticalUp:ed,verticalDown:B4e,horizontalLeft:zy,horizontalRight:n3e,diagonalUpRight:r3e,diagonalUpLeft:td,diagonalDownRight:V4e,diagonalDownLeft:U4e}=Ft,ks=new vs("thumbs up");ks.curl(Un,Gn,1);ks.direction(Un,ed,1);ks.direction(Un,td,.25);ks.direction(Un,r3e,.25);for(let e of[$a.index,$a.middle,$a.ring,$a.pinky])ks.curl(e,Hn,1),ks.direction(e,zy,1),ks.direction(e,n3e,1);var Vt=new vs("victory");Vt.curl(Un,a3e,.5);Vt.curl(Un,Gn,.5);Vt.direction(Un,ed,1);Vt.direction(Un,td,1);Vt.curl(Fr,Gn,1);Vt.direction(Fr,ed,.75);Vt.direction(Fr,td,1);Vt.curl(_r,Gn,1);Vt.direction(_r,ed,1);Vt.direction(_r,td,.75);Vt.curl(ul,Hn,1);Vt.direction(ul,ed,.2);Vt.direction(ul,td,1);Vt.direction(ul,zy,.2);Vt.curl(dl,Hn,1);Vt.direction(dl,ed,.2);Vt.direction(dl,td,1);Vt.direction(dl,zy,.2);Vt.weight(Fr,2);Vt.weight(_r,2);var Is=new vs("point");Is.curl(Un,Hn,1);Is.curl(Fr,Gn,.5);Is.curl(_r,Hn,.5);Is.curl(ul,Hn,.5);Is.curl(dl,Hn,.5);Is.weight(Fr,2);Is.weight(_r,2);var Ss=new vs("middle finger");Ss.curl(Un,Gn,1);Ss.curl(Fr,Hn,.5);Ss.curl(_r,Hn,.5);Ss.curl(ul,Hn,.5);Ss.curl(dl,Hn,.5);Ss.weight(Fr,2);Ss.weight(_r,2);var ad=new vs("open palm");ad.curl(Un,Gn,.75);ad.curl(Fr,Gn,.75);ad.curl(_r,Gn,.75);ad.curl(ul,Gn,.75);ad.curl(dl,Gn,.75);var uI=[ks,Vt,Is,Ss,ad];var s3e=.7,pl={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function dI(e,t,a,n){let r=(t-n)/(e-a),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function cI(e,t){if(!e||!t)return[0,0];let a=dI(e[0],e[1],t[0],t[1]);if(e.length===2)return a;let n=dI(e[1],e[2],t[1],t[2]);return[a,n]}function pI(e,t=1){let a=0,n=0,r=0;return e>=75&&e<=105?a=1*t:e>=25&&e<=155?n=1*t:r=1*t,[a,n,r]}function i3e(e,t,a){let n=e[0]-t[0],r=e[0]-a[0],s=t[0]-a[0],i=e[1]-t[1],o=e[1]-a[1],l=t[1]-a[1],u=e[2]-t[2],p=e[2]-a[2],c=t[2]-a[2],d=Math.sqrt(n*n+i*i+u*u),h=Math.sqrt(r*r+o*o+p*p),f=Math.sqrt(s*s+l*l+c*c),m=(f*f+d*d-h*h)/(2*f*d);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let y;return g>pl.NO_CURL_START_LIMIT?y=ws.none:g>pl.HALF_CURL_START_LIMIT?y=ws.half:y=ws.full,y}function hI(e,t,a,n){let r;return n===Math.abs(e)?e>0?r=Ft.horizontalLeft:r=Ft.horizontalRight:n===Math.abs(t)?t>0?r=Ft.horizontalLeft:r=Ft.horizontalRight:a>0?r=Ft.horizontalLeft:r=Ft.horizontalRight,r}function fI(e,t,a,n){let r;return n===Math.abs(e)?e<0?r=Ft.verticalDown:r=Ft.verticalUp:n===Math.abs(t)?t<0?r=Ft.verticalDown:r=Ft.verticalUp:a<0?r=Ft.verticalDown:r=Ft.verticalUp,r}function o3e(e,t,a,n,r,s,i,o){let l,u=fI(e,t,a,n),p=hI(r,s,i,o);return u===Ft.verticalUp?p===Ft.horizontalLeft?l=Ft.diagonalUpLeft:l=Ft.diagonalUpRight:p===Ft.horizontalLeft?l=Ft.diagonalDownLeft:l=Ft.diagonalDownRight,l}function l3e(e,t,a,n){let r=e[0]-t[0],s=e[0]-a[0],i=t[0]-a[0],o=e[1]-t[1],l=e[1]-a[1],u=t[1]-a[1],p=Math.max(Math.abs(r),Math.abs(s),Math.abs(i)),c=Math.max(Math.abs(o),Math.abs(l),Math.abs(u)),d=0,h=0,f=0,m=c/(p+1e-5);m>1.5?d+=pl.DISTANCE_VOTE_POWER:m>.66?h+=pl.DISTANCE_VOTE_POWER:f+=pl.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+o*o),y=Math.sqrt(s*s+l*l),x=Math.sqrt(i*i+u*u),A=Math.max(g,y,x),b=e[0],w=e[1],C=a[0],T=a[1];A===g?(C=a[0],T=a[1]):A===x&&(b=t[0],w=t[1]);let F=cI([b,w],[C,T]),E=pI(F,pl.TOTAL_ANGLE_VOTE_POWER);d+=E[0],h+=E[1],f+=E[2];for(let _ of n){let O=pI(_,pl.SINGLE_ANGLE_VOTE_POWER);d+=O[0],h+=O[1],f+=O[2]}let I;return d===Math.max(d,h,f)?I=fI(l,o,u,c):f===Math.max(h,f)?I=hI(s,r,i,p):I=o3e(l,o,u,c,s,r,i,p),I}function mI(e){let t=[],a=[],n=[],r=[];if(!e)return{curls:n,directions:r};for(let s of $a.all){let i=$a.getPoints(s),o=[],l=[];for(let u of i){let p=e[u[0]],c=e[u[1]],d=cI(p,c),h=d[0],f=d[1];o.push(h),l.push(f)}t.push(o),a.push(l)}for(let s of $a.all){let i=s===$a.thumb?1:0,o=$a.getPoints(s),l=e[o[i][0]],u=e[o[i+1][1]],p=e[o[3][1]],c=i3e(l,u,p),d=l3e(l,u,p,t[s].slice(i));n[s]=c,r[s]=d}return{curls:n,directions:r}}function W0(e){if(!e||e.length===0)return null;let t=mI(e),a={};for(let n of $a.all)a[$a.getName(n)]={curl:ws.getName(t.curls[n]),direction:Ft.getName(t.directions[n])};return a}function gI(e){let t=[];if(!e||e.length===0)return t;let a=mI(e);for(let n of uI){let r=n.matchAgainst(a.curls,a.directions);r>=s3e&&t.push({name:n.name,confidence:r})}return t}var yI=e=>{if(!e)return[];let t=[];for(let a=0;al.part==="leftWrist"),r=e[a].keypoints.find(l=>l.part==="rightWrist"),s=e[a].keypoints.find(l=>l.part==="nose");s&&n&&r&&n.position[1]l.part==="leftShoulder"),o=e[a].keypoints.find(l=>l.part==="rightShoulder");i&&o&&Math.abs(i.positionRaw[1]-o.positionRaw[1])>.1&&t.push({body:a,gesture:`leaning ${i.position[1]>o.position[1]?"left":"right"}`})}return t},xI=e=>{if(!e)return[];let t=[];for(let a=0;a450){let n=(e[a].mesh[33][2]||0)-(e[a].mesh[263][2]||0),r=e[a].mesh[33][0]-e[a].mesh[263][0];Math.abs(n/r)<=.15?t.push({face:a,gesture:"facing center"}):t.push({face:a,gesture:`facing ${n<0?"left":"right"}`}),Math.abs(e[a].mesh[374][1]-e[a].mesh[386][1])/Math.abs(e[a].mesh[443][1]-e[a].mesh[450][1])<.2&&t.push({face:a,gesture:"blink left eye"}),Math.abs(e[a].mesh[145][1]-e[a].mesh[159][1])/Math.abs(e[a].mesh[223][1]-e[a].mesh[230][1])<.2&&t.push({face:a,gesture:"blink right eye"});let o=Math.min(100,500*Math.abs(e[a].mesh[13][1]-e[a].mesh[14][1])/Math.abs(e[a].mesh[10][1]-e[a].mesh[152][1]));o>10&&t.push({face:a,gesture:`mouth ${Math.trunc(o)}% open`});let l=e[a].mesh[152][2]||0;Math.abs(l)>10&&t.push({face:a,gesture:`head ${l<0?"up":"down"}`})}return t},AI=e=>{var a,n,r,s;if(!e)return[];let t=[];for(let i=0;i.06||g>.06)&&(h=!1),m>g?m>.05&&t.push({iris:i,gesture:"looking right"}):g>.05&&t.push({iris:i,gesture:"looking left"});let y=Math.abs(e[i].mesh[145][1]-e[i].annotations.rightEyeIris[0][1])/e[i].box[3],x=Math.abs(e[i].mesh[374][1]-e[i].annotations.leftEyeIris[0][1])/e[i].box[3];(x<.01||y<.01||x>.022||y>.022)&&(h=!1),(x<.01||y<.01)&&t.push({iris:i,gesture:"looking down"}),(x>.022||y>.022)&&t.push({iris:i,gesture:"looking up"}),h&&t.push({iris:i,gesture:"looking center"})}return t},bI=e=>{if(!e)return[];let t=[];for(let a=0;a0){let r=n.reduce((i,o)=>(i.position[2]||0)<(o.position[2]||0)?i:o);t.push({hand:a,gesture:`${r.name} forward`});let s=n.reduce((i,o)=>i.position[1][s[0]*t[0],s[1]*t[1]]);return{startPoint:a,endPoint:n,palmLandmarks:r,confidence:e.confidence}}function V0(e,t=1.5){let a=ac(e),n=B0(e),r=[t*n[0]/2,t*n[1]/2],s=[a[0]-r[0],a[1]-r[1]],i=[a[0]+r[0],a[1]+r[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function U0(e){let t=ac(e),a=B0(e),r=Math.max(...a)/2,s=[t[0]-r,t[1]-r],i=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function d3e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function SI(e,t){let a=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return d3e(a)}var vI=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Cs(e,t){let a=0;for(let n=0;n[i.x,i.y]),this.anchorsTensor=Zn(this.anchors),this.inputSize=((s=(r=(n=(a=this==null?void 0:this.model)==null?void 0:a.inputs)==null?void 0:n[0])==null?void 0:r.shape)==null?void 0:s[2])||0,this.inputSizeTensor=jt([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=jt([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let a={};a.boxOffsets=De(t,[0,0],[-1,2]),a.boxSizes=De(t,[0,2],[-1,2]),a.div=ve(a.boxOffsets,this.inputSizeTensor),a.boxCenterPoints=ke(a.div,this.anchorsTensor),a.halfBoxSizes=ve(a.boxSizes,this.doubleInputSizeTensor),a.sub=ye(a.boxCenterPoints,a.halfBoxSizes),a.startPoints=te(a.sub,this.inputSizeTensor),a.add=ke(a.boxCenterPoints,a.halfBoxSizes),a.endPoints=te(a.add,this.inputSizeTensor);let n=Fu([a.startPoints,a.endPoints],1);return Object.keys(a).forEach(r=>J(a[r])),n}normalizeLandmarks(t,a){let n={};n.reshape=Q(t,[-1,7,2]),n.div=ve(n.reshape,this.inputSizeTensor),n.landmarks=ke(n.div,this.anchors[a]?this.anchors[a]:0);let r=te(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>J(n[s])),r}async predict(t,a){var o;let n={};n.resize=fe.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=ve(n.resize,ze.tf127),n.image=ye(n.div,ze.tf1),n.batched=this.model.execute(n.image),n.predictions=Oe(n.batched),n.slice=De(n.predictions,[0,0],[-1,1]),n.sigmoid=Wa(n.slice),n.scores=Oe(n.sigmoid);let r=await n.scores.data();n.boxes=De(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await fe.nonMaxSuppressionAsync(n.norm,n.scores,3*(((o=a.hand)==null?void 0:o.maxDetected)||1),a.hand.iouThreshold,a.hand.minConfidence);let s=await n.nms.array(),i=[];for(let l of s){let u={};u.box=De(n.norm,[l,0],[1,-1]),u.slice=De(n.predictions,[l,5],[1,14]),u.norm=this.normalizeLandmarks(u.slice,l),u.palmLandmarks=Q(u.norm,[-1,2]);let p=await u.box.data(),c=p.slice(0,2),d=p.slice(2,4),h=await u.palmLandmarks.array(),f={startPoint:c,endPoint:d,palmLandmarks:h,confidence:r[l]},m=II(f,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);i.push(m),Object.keys(u).forEach(g=>J(u[g]))}return Object.keys(n).forEach(l=>J(n[l])),i}};var f3e=5,RI=1.65,EI=[0,5,9,13,17,1,2],m3e=0,g3e=2,MI=0,H0=class{constructor(t,a){he(this,"handDetector");he(this,"handPoseModel");he(this,"inputSize");he(this,"storedBoxes");he(this,"skipped");he(this,"detectedHands");var n,r,s;this.handDetector=t,this.handPoseModel=a,this.inputSize=((s=(r=(n=this.handPoseModel)==null?void 0:n.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let a=t.map(i=>i[0]),n=t.map(i=>i[1]),r=[Math.min(...a),Math.min(...n)],s=[Math.max(...a),Math.max(...n)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,a){let n=t.map(s=>By([...s,1],a)),r=this.calculateLandmarksBoundingBox(n);return V0(U0(r),f3e)}getBoxForHandLandmarks(t){let a=this.calculateLandmarksBoundingBox(t),n=V0(U0(a),RI);n.palmLandmarks=[];for(let r=0;r[i[0]*(h[0]-this.inputSize/2),i[1]*(h[1]-this.inputSize/2),i[2]*h[2]]),l=Wy(n,[0,0]),u=o.map(h=>[...By(h,l),h[2]]),p=CI(r),c=[...ac(a),1],d=[Cs(c,p[0]),Cs(c,p[1])];return u.map(h=>[Math.trunc(h[0]+d[0]),Math.trunc(h[1]+d[1]),Math.trunc(h[2])])}async estimateHands(t,a){let n=!1,r,s=(a.hand.skipTime||0)>ae()-MI,i=this.skipped<(a.hand.skipFrames||0);a.skipAllowed&&s&&i&&(r=await this.handDetector.predict(t,a),this.skipped=0),a.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==a.hand.maxDetected||!a.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let o=[];for(let l=0;l=a.hand.minConfidence/4){let w=Q(A,[-1,3]),C=await w.array();J(A),J(w);let T=this.transformRawCoords(C,m,p,f),N=this.getBoxForHandLandmarks(T);this.storedBoxes[l]={...N,confidence:b};let M={landmarks:T,confidence:b,boxConfidence:u.confidence,fingerConfidence:b,box:{topLeft:N.startPoint,bottomRight:N.endPoint}};o.push(M)}else this.storedBoxes[l]=null;J(A)}else{let p=V0(U0(u),RI),c={confidence:u.confidence,boxConfidence:u.confidence,fingerConfidence:0,box:{topLeft:p.startPoint,bottomRight:p.endPoint},landmarks:[]};o.push(c)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=o.length,o.length>a.hand.maxDetected&&(o.length=a.hand.maxDetected),o}};var FI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},cl,hl,_I;async function Vy(e,t){let a=await _I.estimateHands(e,t);if(!a)return[];let n=[];for(let r=0;ra[r].landmarks[c]);let i=a[r].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let p of i)p[0]o[2]&&(o[2]=p[0]),p[1]>o[3]&&(o[3]=p[1]);o[2]-=o[0],o[3]-=o[1],l=[o[0]/(e.shape[2]||0),o[1]/(e.shape[1]||0),o[2]/(e.shape[2]||0),o[3]/(e.shape[1]||0)]}else o=a[r].box?[Math.trunc(Math.max(0,a[r].box.topLeft[0])),Math.trunc(Math.max(0,a[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,a[r].box.bottomRight[0])-Math.max(0,a[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,a[r].box.bottomRight[1])-Math.max(0,a[r].box.topLeft[1]))]:[0,0,0,0],l=[a[r].box.topLeft[0]/(e.shape[2]||0),a[r].box.topLeft[1]/(e.shape[1]||0),(a[r].box.bottomRight[0]-a[r].box.topLeft[0])/(e.shape[2]||0),(a[r].box.bottomRight[1]-a[r].box.topLeft[1])/(e.shape[1]||0)];let u=W0(i);n.push({id:r,score:Math.round(100*a[r].confidence)/100,boxScore:Math.round(100*a[r].boxConfidence)/100,fingerScore:Math.round(100*a[r].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:u})}return n}async function $I(e){var a,n;ne.initial&&(cl=null,hl=null),!cl||!hl?[cl,hl]=await Promise.all([e.hand.enabled?Fe((a=e.hand.detector)==null?void 0:a.modelPath):null,e.hand.landmarks?Fe((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&K("cached model:",cl.modelUrl),e.debug&&K("cached model:",hl.modelUrl));let t=cl?new G0(cl):void 0;return t&&hl&&(_I=new H0(t,hl)),[cl,hl]}var Ot=[null,null],x3e=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ts=[[0,0],[0,0]],A3e=["hand","fist","pinch","point","face","tip","pinchtip"],PI=4,OI=1.6,b3e=512,v3e=1.4,j0=Number.MAX_SAFE_INTEGER,Uy=0,$r=[0,0],Pt={boxes:[],hands:[]},zI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function LI(e){var t;if(ne.initial&&(Ot[0]=null),Ot[0])e.debug&&K("cached model:",Ot[0].modelUrl);else{m0(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),Ot[0]=await Fe((t=e.hand.detector)==null?void 0:t.modelPath);let a=Ot[0].executor?Object.values(Ot[0].modelSignature.inputs):void 0;Ts[0][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Ts[0][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0}return Ot[0]}async function WI(e){var t;if(ne.initial&&(Ot[1]=null),Ot[1])e.debug&&K("cached model:",Ot[1].modelUrl);else{Ot[1]=await Fe((t=e.hand.skeleton)==null?void 0:t.modelPath);let a=Ot[1].executor?Object.values(Ot[1].modelSignature.inputs):void 0;Ts[1][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Ts[1][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0}return Ot[1]}async function w3e(e,t){let a=[];if(!e||!Ot[0])return a;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,b3e),i=Math.round(s*r/8)*8;n.resize=fe.resizeBilinear(e,[s,i]),n.cast=Ke(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await Ot[0].executeAsync(n.cast,x3e),n.boxes=Oe(n.rawBoxes,[0,2]),n.scores=Oe(n.rawScores,[0]);let o=Ra(n.scores,1);J(o[PI]),o.splice(PI,1),n.filtered=ca(o,1),J(o),n.max=ga(n.filtered,1),n.argmax=rr(n.filtered,1);let l=0;n.nms=await fe.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let u=await n.nms.data(),p=await n.max.data(),c=await n.argmax.data();for(let d of Array.from(u)){let h=De(n.boxes,d,1),f=await h.data();J(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=I0(m,v3e),y=[Math.trunc(m[0]*$r[0]),Math.trunc(m[1]*$r[1]),Math.trunc(m[2]*$r[0]),Math.trunc(m[3]*$r[1])],x=p[d],A=A3e[c[d]],b={id:l++,score:x,box:y,boxRaw:g,label:A};a.push(b)}return Object.keys(n).forEach(d=>J(n[d])),a.sort((d,h)=>h.score-d.score),a.length>(t.hand.maxDetected||1)&&(a.length=t.hand.maxDetected||1),a}async function Gy(e,t,a){let n={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&Ot[1]&&a.hand.landmarks&&t.score>(a.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=fe.cropAndResize(e,[s],[0],[Ts[1][0],Ts[1][1]],"bilinear"),r.div=ve(r.crop,ze.tf255),[r.score,r.keypoints]=Ot[1].execute(r.div,["Identity_1","Identity"]);let i=(await r.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(i))))/100;if(o>=(a.hand.minConfidence||0)){n.fingerScore=o,r.reshaped=Q(r.keypoints,[-1,3]);let p=(await r.reshaped.array()).map(c=>[c[0]/Ts[1][1],c[1]/Ts[1][0],c[2]||0]).map(c=>[c[0]*t.boxRaw[2],c[1]*t.boxRaw[3],c[2]||0]);n.keypoints=p.map(c=>[$r[0]*(c[0]+t.boxRaw[0]),$r[1]*(c[1]+t.boxRaw[1]),c[2]||0]),n.landmarks=W0(n.keypoints);for(let c of Object.keys(zI))n.annotations[c]=zI[c].map(d=>n.landmarks&&n.keypoints[d]?n.keypoints[d]:null)}Object.keys(r).forEach(l=>J(r[l]))}return n}async function Hy(e,t){var r,s;if(!((r=Ot[0])!=null&&r.executor)||!((s=Ot[1])!=null&&s.executor)||!Ot[0].inputs[0].shape||!Ot[1].inputs[0].shape)return[];$r=[e.shape[2]||0,e.shape[1]||0],j0++;let a=(t.hand.skipTime||0)>ae()-Uy,n=j0<(t.hand.skipFrames||0);return t.skipAllowed&&a&&n?Pt.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>ae()-Uy,l=j0<3*(t.hand.skipFrames||0);t.skipAllowed&&Pt.hands.length===t.hand.maxDetected?Pt.hands=await Promise.all(Pt.boxes.map(p=>Gy(e,p,t))):t.skipAllowed&&o&&l&&Pt.hands.length>0?Pt.hands=await Promise.all(Pt.boxes.map(p=>Gy(e,p,t))):(Pt.boxes=await w3e(e,t),Uy=ae(),Pt.hands=await Promise.all(Pt.boxes.map(p=>Gy(e,p,t))),j0=0);let u=[...Pt.boxes];if(Pt.boxes.length=0,t.cacheSensitivity>0)for(let p=0;p.05&&c.box[3]/(e.shape[1]||1)>.05&&Pt.hands[p].fingerScore&&Pt.hands[p].fingerScore>(t.hand.minConfidence||0)){let d=I0(c.box,OI),h=I0(c.boxRaw,OI);Pt.boxes.push({...u[p],box:d,boxRaw:h})}}for(let p=0;p({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var nc={};yr(nc,{connected:()=>X0,horizontal:()=>jy,kpt:()=>q0,relative:()=>Xy,vertical:()=>qy});var q0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],jy=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],qy=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],Xy=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],X0={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var xe=pr(),Ky=0;function VI(e,t){var i,o,l,u,p,c,d,h,f,m,g,y,x,A,b,w,C,T,N,M,F,E,I,_,O,B;let a=ae();if(!e)return pr();let n=Date.now()-e.timestamp,r=n<1e3?8-Math.log(n+1):1;if(e.canvas&&(xe.canvas=e.canvas),e.error&&(xe.error=e.error),!xe.body||e.body.length!==xe.body.length)xe.body=JSON.parse(JSON.stringify(e.body));else for(let $=0;$((r-1)*xe.body[$].box[X]+Z)/r),G=e.body[$].boxRaw.map((Z,X)=>((r-1)*xe.body[$].boxRaw[X]+Z)/r),q=e.body[$].keypoints.map((Z,X)=>{var re,ee,me,ie,Ae,Ce,Re,Le,qe;return{score:Z.score,part:Z.part,position:[xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].position[0]||0)+(Z.position[0]||0))/r:Z.position[0],xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].position[1]||0)+(Z.position[1]||0))/r:Z.position[1],xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].position[2]||0)+(Z.position[2]||0))/r:Z.position[2]],positionRaw:[xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].positionRaw[0]||0)+(Z.positionRaw[0]||0))/r:Z.positionRaw[0],xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].positionRaw[1]||0)+(Z.positionRaw[1]||0))/r:Z.positionRaw[1],xe.body[$].keypoints[X]?((r-1)*(xe.body[$].keypoints[X].positionRaw[2]||0)+(Z.positionRaw[2]||0))/r:Z.positionRaw[2]],distance:[xe.body[$].keypoints[X]?((r-1)*(((re=xe.body[$].keypoints[X].distance)==null?void 0:re[0])||0)+(((ee=Z.distance)==null?void 0:ee[0])||0))/r:(me=Z.distance)==null?void 0:me[0],xe.body[$].keypoints[X]?((r-1)*(((ie=xe.body[$].keypoints[X].distance)==null?void 0:ie[1])||0)+(((Ae=Z.distance)==null?void 0:Ae[1])||0))/r:(Ce=Z.distance)==null?void 0:Ce[1],xe.body[$].keypoints[X]?((r-1)*(((Re=xe.body[$].keypoints[X].distance)==null?void 0:Re[2])||0)+(((Le=Z.distance)==null?void 0:Le[2])||0))/r:(qe=Z.distance)==null?void 0:qe[2]]}}),H={},V={connected:{}};(i=t.body.modelPath)!=null&&i.includes("efficientpose")?V=T0:(o=t.body.modelPath)!=null&&o.includes("blazepose")?V=w0:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(V=nc);for(let[Z,X]of Object.entries(V.connected)){let re=[];for(let ee=0;eeAe.part===X[ee]),ie=q.find(Ae=>Ae.part===X[ee+1]);me&&ie&&re.push([me.position,ie.position])}H[Z]=re}xe.body[$]={...e.body[$],box:U,boxRaw:G,keypoints:q,annotations:H}}if(!xe.hand||e.hand.length!==xe.hand.length)xe.hand=JSON.parse(JSON.stringify(e.hand));else for(let $=0;$((r-1)*xe.hand[$].box[Z]+V)/r),G=e.hand[$].boxRaw.map((V,Z)=>((r-1)*xe.hand[$].boxRaw[Z]+V)/r);xe.hand[$].keypoints.length!==e.hand[$].keypoints.length&&(xe.hand[$].keypoints=e.hand[$].keypoints);let q=e.hand[$].keypoints&&e.hand[$].keypoints.length>0?e.hand[$].keypoints.map((V,Z)=>V.map((X,re)=>((r-1)*(xe.hand[$].keypoints[Z][re]||1)+(X||0))/r)):[],H={};if(Object.keys(xe.hand[$].annotations).length!==Object.keys(e.hand[$].annotations).length)xe.hand[$].annotations=e.hand[$].annotations,H=xe.hand[$].annotations;else if(e.hand[$].annotations)for(let V of Object.keys(e.hand[$].annotations))H[V]=(c=(p=(u=e.hand[$])==null?void 0:u.annotations)==null?void 0:p[V])!=null&&c[0]?e.hand[$].annotations[V].map((Z,X)=>Z.map((re,ee)=>((r-1)*xe.hand[$].annotations[V][X][ee]+re)/r)):null;xe.hand[$]={...e.hand[$],box:U,boxRaw:G,keypoints:q,annotations:H}}if(!xe.face||e.face.length!==xe.face.length)xe.face=JSON.parse(JSON.stringify(e.face));else for(let $=0;$((r-1)*xe.face[$].box[V]+H)/r),G=e.face[$].boxRaw.map((H,V)=>((r-1)*xe.face[$].boxRaw[V]+H)/r),q=e.face[$].annotations;if(Object.keys(xe.face[$].annotations).length!==Object.keys(e.face[$].annotations).length)xe.face[$].annotations=e.face[$].annotations,q=xe.face[$].annotations;else if(e.face[$].annotations)for(let H of Object.keys(e.face[$].annotations))q[H]=(f=(h=(d=e.face[$])==null?void 0:d.annotations)==null?void 0:h[H])!=null&&f[0]?e.face[$].annotations[H].map((V,Z)=>V.map((X,re)=>((r-1)*xe.face[$].annotations[H][Z][re]+X)/r)):null;if(e.face[$].rotation){let H={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};H.matrix=(m=e.face[$].rotation)==null?void 0:m.matrix,H.angle={roll:((r-1)*(((y=(g=xe.face[$].rotation)==null?void 0:g.angle)==null?void 0:y.roll)||0)+(((A=(x=e.face[$].rotation)==null?void 0:x.angle)==null?void 0:A.roll)||0))/r,yaw:((r-1)*(((w=(b=xe.face[$].rotation)==null?void 0:b.angle)==null?void 0:w.yaw)||0)+(((T=(C=e.face[$].rotation)==null?void 0:C.angle)==null?void 0:T.yaw)||0))/r,pitch:((r-1)*(((M=(N=xe.face[$].rotation)==null?void 0:N.angle)==null?void 0:M.pitch)||0)+(((E=(F=e.face[$].rotation)==null?void 0:F.angle)==null?void 0:E.pitch)||0))/r},H.gaze={bearing:((r-1)*(((I=xe.face[$].rotation)==null?void 0:I.gaze.bearing)||0)+(((_=e.face[$].rotation)==null?void 0:_.gaze.bearing)||0))/r,strength:((r-1)*(((O=xe.face[$].rotation)==null?void 0:O.gaze.strength)||0)+(((B=e.face[$].rotation)==null?void 0:B.gaze.strength)||0))/r},xe.face[$]={...e.face[$],rotation:H,box:U,boxRaw:G,annotations:q}}else xe.face[$]={...e.face[$],box:U,boxRaw:G,annotations:q}}if(!xe.object||e.object.length!==xe.object.length)xe.object=JSON.parse(JSON.stringify(e.object));else for(let $=0;$((r-1)*xe.object[$].box[H]+q)/r),G=e.object[$].boxRaw.map((q,H)=>((r-1)*xe.object[$].boxRaw[H]+q)/r);xe.object[$]={...e.object[$],box:U,boxRaw:G}}if(e.persons){let $=e.persons;if(!xe.persons||$.length!==xe.persons.length)xe.persons=JSON.parse(JSON.stringify($));else for(let U=0;U<$.length;U++)xe.persons[U].box=$[U].box.map((G,q)=>((r-1)*xe.persons[U].box[q]+G)/r)}e.gesture&&(xe.gesture=e.gesture),xe.width=e.width,xe.height=e.height;let s=ae();return Ky=ne.perfadd?Ky+Math.round(s-a):Math.round(s-a),e.performance&&(xe.performance={...e.performance,interpolate:Ky}),xe}var ba;async function Yy(e){return!ba||ne.initial?ba=await Fe(e.segmentation.modelPath):e.debug&&K("cached model:",ba.modelUrl),ba}async function UI(e,t){var r;if(ba||(ba=await Yy(t)),!(ba!=null&&ba.executor)||!((r=ba==null?void 0:ba.inputs)!=null&&r[0].shape))return null;let a={};a.resize=fe.resizeBilinear(e,[ba.inputs[0].shape?ba.inputs[0].shape[1]:0,ba.inputs[0].shape?ba.inputs[0].shape[2]:0],!1),a.norm=ve(a.resize,ze.tf255),a.res=ba.execute(a.norm),a.squeeze=Oe(a.res,[0]),[a.bgRaw,a.fgRaw]=Ra(a.squeeze,2),a.fg=Oh(a.fgRaw),a.mul=te(a.fg,ze.tf255),a.expand=Ht(a.mul,2),a.output=fe.resizeBilinear(a.expand,[e.shape[1]||0,e.shape[2]||0]);let n;switch(t.segmentation.mode||"default"){case"default":a.input=Oe(e),a.concat=lt([a.input,a.output],-1),n=Ke(a.concat,"int32");break;case"alpha":n=Ke(a.output,"int32");break;default:n=Ve(0)}return Object.keys(a).forEach(s=>J(a[s])),n}var K0={};yr(K0,{distance:()=>Zy,find:()=>S3e,similarity:()=>I3e});function Zy(e,t,a={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let n=0;for(let r=0;r{if(e===0)return 1;let s=(1-(t===2?Math.sqrt(e):e**(1/t))/100-a)/(n-a);return Math.max(Math.min(s,1),0)};function I3e(e,t,a={order:2,multiplier:25,min:.2,max:.8}){let n=Zy(e,t,a);return HI(n,a.order||2,a.min||0,a.max||1)}function S3e(e,t,a={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let n=Number.MAX_SAFE_INTEGER,r=-1;for(let i=0;iic,validateModel:()=>af});var jI=.005,on={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function Jy(e){for(let t of jy){let a=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[a]&&e.keypoints[n]&&e.keypoints[a].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[a]&&e.keypoints[n]&&e.keypoints[a].position[1]u&&u.part===t[0]),r=e.keypoints.findIndex(u=>u&&u.part===t[1]),s=e.keypoints.findIndex(u=>u&&u.part===a[0]),i=e.keypoints.findIndex(u=>u&&u.part===a[1]);if(!e.keypoints[s]||!e.keypoints[i])continue;let o=e.keypoints[n]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[i].position[0]-e.keypoints[n].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[i].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(o[0]>o[1]||l[0]>l[1]){let u=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=u}}}function qI(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],a.pad=ir(e,on.padding),a.resize=fe.resizeBilinear(a.pad,[t,t]);let n=Ke(a.resize,"int32");return Object.keys(a).forEach(i=>J(a[i])),n}function KI(e,t){e.keypoints=e.keypoints.filter(n=>n==null?void 0:n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+on.padding[2][0]+on.padding[2][1])/t[0]-on.padding[2][0],n.position[1]*(t[1]+on.padding[1][0]+on.padding[1][1])/t[1]-on.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let a=gs(e.keypoints.map(n=>n.position),t);return e.box=a.box,e.boxRaw=a.boxRaw,e}var Ut,Y0=0,Qy=Number.MAX_SAFE_INTEGER,fl={boxes:[],bodies:[],last:0};async function YI(e){var t;return ne.initial&&(Ut=null),Ut?e.debug&&K("cached model:",Ut.modelUrl):(m0(["size"],e),Ut=await Fe(e.body.modelPath)),Y0=Ut!=null&&Ut.executor&&((t=Ut==null?void 0:Ut.inputs)!=null&&t[0].shape)?Ut.inputs[0].shape[2]:0,Y0<64&&(Y0=256),W().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&W().set("WEBGL_USE_SHAPES_UNIFORMS",!1),Ut}function T3e(e,t,a){let n=e[0][0],r=[],s=0;for(let p=0;pt.body.minConfidence){let c=[n[p][1],n[p][0]];r.push({score:Math.round(100*s)/100,part:q0[p],positionRaw:c,position:[Math.round((a.shape[2]||0)*c[0]),Math.round((a.shape[1]||0)*c[1])]})}s=r.reduce((p,c)=>c.score>p?c.score:p,0);let i=[],o=gs(r.map(p=>p.position),[a.shape[2],a.shape[1]]),l={};for(let[p,c]of Object.entries(X0)){let d=[];for(let h=0;hg.part===c[h]),m=r.find(g=>g.part===c[h+1]);f&&m&&f.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&d.push([f.position,m.position])}l[p]=d}let u={id:0,score:s,box:o.box,boxRaw:o.boxRaw,keypoints:r,annotations:l};return Jy(u),i.push(u),i}function N3e(e,t,a){let n=[];for(let r=0;rt.body.minConfidence){let o=[];for(let d=0;d<17;d++){let h=s[3*d+2];if(h>t.body.minConfidence){let f=[s[3*d+1],s[3*d+0]];o.push({part:q0[d],score:Math.round(100*h)/100,positionRaw:f,position:[Math.round((a.shape[2]||0)*f[0]),Math.round((a.shape[1]||0)*f[1])]})}}let l=[s[51+1],s[51+0],s[51+3]-s[51+1],s[51+2]-s[51+0]],u=[Math.trunc(l[0]*(a.shape[2]||0)),Math.trunc(l[1]*(a.shape[1]||0)),Math.trunc(l[2]*(a.shape[2]||0)),Math.trunc(l[3]*(a.shape[1]||0))],p={};for(let[d,h]of Object.entries(X0)){let f=[];for(let m=0;mx.part===h[m]),y=o.find(x=>x.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}p[d]=f}let c={id:r,score:i,box:u,boxRaw:l,keypoints:[...o],annotations:p};Jy(c),n.push(c)}}return n.sort((r,s)=>s.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function e5(e,t){var r;if(!(Ut!=null&&Ut.executor)||!((r=Ut==null?void 0:Ut.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(fl.boxes.length=0),Qy++;let a=(t.body.skipTime||0)>ae()-fl.last,n=Qy<(t.body.skipFrames||0);return t.skipAllowed&&a&&n?fl.bodies:new Promise(async s=>{let i={};Qy=0,i.input=XI(e,Y0),i.res=Ut==null?void 0:Ut.execute(i.input),fl.last=ae();let o=await i.res.array();fl.bodies=i.res.shape[2]===17?T3e(o,t,e):N3e(o,t,e);for(let l of fl.bodies)KI(l,[e.shape[2]||1,e.shape[1]||1]),qI(l.keypoints);Object.keys(i).forEach(l=>J(i[l])),s(fl.bodies)})}var Dn,Z0=[],JI=0,t5=Number.MAX_SAFE_INTEGER,Q0=0,J0=2.5;async function QI(e){if(!Dn||ne.initial){Dn=await Fe(e.object.modelPath);let t=Dn!=null&&Dn.executor?Object.values(Dn.modelSignature.inputs):void 0;Q0=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&K("cached model:",Dn.modelUrl);return Dn}async function R3e(e,t,a){var u,p;let n=0,r=[],s=Q0;for(let c of[1,2,4]){let d=c*13,h=Oe(e.find(A=>A.shape[1]===d**2&&(A.shape[2]||0)===Xu.length)),f=await h.array(),m=Oe(e.find(A=>A.shape[1]===d**2&&(A.shape[2]||0)(a.object.minConfidence||0)&&b!==61){let C=(.5+Math.trunc(A%d))/d,T=(.5+Math.trunc(A/d))/d,N=x[A].map($=>$*(d/c/s)),[M,F]=[C-J0/c*N[0],T-J0/c*N[1]],[E,I]=[C+J0/c*N[2]-M,T+J0/c*N[3]-F],_=[M,F,E,I];_=_.map($=>Math.max(0,Math.min($,1)));let O=[_[0]*t[0],_[1]*t[1],_[2]*t[0],_[3]*t[1]],B={id:n++,score:Math.round(100*w)/100,class:b+1,label:Xu[b].label,box:O.map($=>Math.trunc($)),boxRaw:_};r.push(B)}}J([h,m,g,y])}let i=r.map(c=>[c.boxRaw[1],c.boxRaw[0],c.boxRaw[3],c.boxRaw[2]]),o=r.map(c=>c.score),l=[];if(i&&i.length>0){let c=await fe.nonMaxSuppressionAsync(i,o,a.object.maxDetected||0,a.object.iouThreshold,a.object.minConfidence);l=Array.from(await c.data()),J(c)}return r=r.filter((c,d)=>l.includes(d)).sort((c,d)=>d.score-c.score),r}async function a5(e,t){if(!(Dn!=null&&Dn.executor))return[];let a=(t.object.skipTime||0)>ae()-JI,n=t5<(t.object.skipFrames||0);return t.skipAllowed&&a&&n&&Z0.length>0?(t5++,Z0):(t5=0,!ne.kernels.includes("mod")||!ne.kernels.includes("sparsetodense")?Z0:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],i=fe.resizeBilinear(e,[Q0,Q0],!1),o=ve(i,ze.tf255),l=js(o,[0,3,1,2]),u;t.object.enabled&&(u=Dn.execute(l)),JI=ae();let p=await R3e(u,s,t);Z0=p,J([i,o,l,...u]),r(p)}))}var sc=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E3e=sc.length,rc=sc.reduce((e,t,a)=>(e[t]=a,e),{}),M3e=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],D7e=M3e.map(([e,t])=>[rc[e],rc[t]]),tS=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function aS(e){let t=e.reduce(({maxX:a,maxY:n,minX:r,minY:s},{position:{x:i,y:o}})=>({maxX:Math.max(a,i),maxY:Math.max(n,o),minX:Math.min(r,i),minY:Math.min(s,o)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function nS(e,[t,a],[n,r]){let s=t/n,i=a/r,o=(u,p)=>({id:p,score:u.score,boxRaw:[u.box[0]/r,u.box[1]/n,u.box[2]/r,u.box[3]/n],box:[Math.trunc(u.box[0]*i),Math.trunc(u.box[1]*s),Math.trunc(u.box[2]*i),Math.trunc(u.box[3]*s)],keypoints:u.keypoints.map(({score:c,part:d,position:h})=>({score:c,part:d,position:[Math.trunc(h.x*i),Math.trunc(h.y*s)],positionRaw:[h.x/n,h.y/n]})),annotations:{}});return e.map((u,p)=>o(u,p))}var ef=class{constructor(t,a){he(this,"priorityQueue");he(this,"numberOfElements");he(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=a}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let a=2*t;if(aa?a:e}function rS(e,t,a,n){let r=a-e,s=n-t;return r*r+s*s}function i5(e,t){return{x:e.x+t.x,y:e.y+t.y}}var ln,_3e=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],tf=1,nd=16,$3e=50**2;function sS(e,t,a,n,r,s,i=2){let o=y=>({y:s.get(y.y,y.x,e),x:s.get(y.y,y.x,s.shape[2]/2+e)}),l=(y,x,A)=>({y:s5(Math.round(y.y/nd),0,x-1),x:s5(Math.round(y.x/nd),0,A-1)}),[u,p]=n.shape,c=l(t.position,u,p),d=o(c),f=i5(t.position,d);for(let y=0;y[rc[d],rc[h]]),i=s.map(([,d])=>d),o=s.map(([d])=>d),l=t.shape[2],u=i.length,p=new Array(l),c=r5(e.part,nd,a);p[e.part.id]={score:e.score,part:sc[e.part.id],position:c};for(let d=u-1;d>=0;--d){let h=i[d],f=o[d];p[h]&&!p[f]&&(p[f]=sS(d,p[h],f,t,a,r))}for(let d=0;dt){o=!1;break}if(!o)break}return o}function O3e(e,t){let[a,n,r]=t.shape,s=new ef(a*n*r,({score:i})=>i);for(let i=0;i{var i;let s=(i=r[n])==null?void 0:i.position;return s?rS(a,t,s.y,s.x)<=$3e:!1})}function z3e(e,t){return t.reduce((n,{position:r,score:s},i)=>(iS(e,r,i)||(n+=s),n),0)/t.length}function L3e(e,t,a,n,r,s){let i=[],o=O3e(s,t);for(;i.lengthh.score>s);let c=z3e(i,p),d=aS(p);c>s&&i.push({keypoints:p,box:d,score:Math.round(100*c)/100})}return i}async function o5(e,t){if(!(ln!=null&&ln.executor))return[];let a=Pe(()=>{if(!ln.inputs[0].shape)return[];let i=fe.resizeBilinear(e,[ln.inputs[0].shape[2],ln.inputs[0].shape[1]]),o=ye(ve(Ke(i,"float32"),127.5),1),u=ln.execute(o,_3e).map(p=>Oe(p,[0]));return u[1]=Wa(u[1]),u}),n=await Promise.all(a.map(i=>i.buffer()));for(let i of a)J(i);let r=L3e(n[0],n[1],n[2],n[3],t.body.maxDetected,t.body.minConfidence);return ln.inputs[0].shape?nS(r,[e.shape[1],e.shape[2]],[ln.inputs[0].shape[2],ln.inputs[0].shape[1]]):[]}async function oS(e){return!ln||ne.initial?ln=await Fe(e.body.modelPath):e.debug&&K("cached model:",ln.modelUrl),ln}var cr,W3e=["fgr","pha","r1o","r2o","r3o","r4o"],Gt={},u5=0;function dS(e){J([Gt.r1i,Gt.r2i,Gt.r3i,Gt.r4i,Gt.downsample_ratio]),Gt.r1i=Ve(0),Gt.r2i=Ve(0),Gt.r3i=Ve(0),Gt.r4i=Ve(0),u5=e.segmentation.ratio||.5,Gt.downsample_ratio=Ve(u5)}async function d5(e){return!cr||ne.initial?cr=await Fe(e.segmentation.modelPath):e.debug&&K("cached model:",cr.modelUrl),dS(e),cr}var uS=e=>Pe(()=>{let t=Oe(e,[0]),a=te(t,ze.tf255);return Ke(a,"int32")});function l5(e,t){let a=e?uS(e):sr([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),n=t?uS(t):sr([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),r=lt([a,n],-1);return J([a,n]),r}function B3e(e){return Pe(()=>{let t={};return t.unstack=Ra(e,-1),t.concat=lt(t.unstack,1),t.split=Ca(t.concat,4,1),t.stack=lt(t.split,2),t.squeeze=Oe(t.stack,[0]),t.expand=Ht(t.squeeze,-1),t.add=ke(t.expand,1),t.mul=te(t.add,127.5),t.cast=Ke(t.mul,"int32"),t.tile=jr(t.cast,[1,1,3]),t.alpha=sr([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),lt([t.tile,t.alpha],-1)})}async function pS(e,t){if(cr||(cr=await d5(t)),!(cr!=null&&cr.executor))return null;Gt.src=ve(e,255),u5!==t.segmentation.ratio&&dS(t);let[a,n,r,s,i,o]=await cr.executeAsync(Gt,W3e),l;switch(t.segmentation.mode||"default"){case"default":l=l5(a,n);break;case"alpha":l=l5(null,n);break;case"foreground":l=l5(a,null);break;case"state":l=B3e(r);break;default:l=Ve(0)}return J([Gt.src,a,n,Gt.r1i,Gt.r2i,Gt.r3i,Gt.r4i]),[Gt.r1i,Gt.r2i,Gt.r3i,Gt.r4i]=[r,s,i,o],l}var va;async function p5(e){return!va||ne.initial?va=await Fe(e.segmentation.modelPath):e.debug&&K("cached model:",va.modelUrl),va}async function hS(e,t){var r;if(va||(va=await p5(t)),!(va!=null&&va.executor)||!((r=va==null?void 0:va.inputs)!=null&&r[0].shape))return null;let a={};a.resize=fe.resizeBilinear(e,[va.inputs[0].shape?va.inputs[0].shape[1]:0,va.inputs[0].shape?va.inputs[0].shape[2]:0],!1),a.norm=ve(a.resize,ze.tf255),a.res=va.execute(a.norm),a.squeeze=Oe(a.res,[0]),a.alpha=fe.resizeBilinear(a.squeeze,[e.shape[1]||0,e.shape[2]||0]),a.mul=te(a.alpha,ze.tf255);let n;switch(t.segmentation.mode||"default"){case"default":a.input=Oe(e),a.concat=lt([a.input,a.mul],-1),n=Ke(a.concat,"int32");break;case"alpha":n=Ke(a.mul,"int32");break;default:n=Ve(0)}return Object.keys(a).forEach(s=>J(a[s])),n}function af(e,t,a){var u,p;if(!t||!((u=e==null?void 0:e.config)!=null&&u.validateModels))return null;let n=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],r=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],s=[],i=[],o=t.modelUrl,l=t.executor;if((p=l==null?void 0:l.graph)!=null&&p.nodes)for(let c of Object.values(l.graph.nodes)){let d=c.op.toLowerCase();s.includes(d)||s.push(d)}else!l&&e.config.debug&&K("model not loaded",a);for(let c of s)!n.includes(c)&&!r.includes(c)&&!e.env.kernels.includes(c)&&!e.env.kernels.includes(c.replace("_",""))&&!e.env.kernels.includes(c.replace("native",""))&&!e.env.kernels.includes(c.replace("v2",""))&&i.push(c);return e.config.debug&&i.length>0&&K("model validation failed:",a,i),i.length>0?{name:a,missing:i,ops:s,url:o}:null}var ic=class{constructor(t){he(this,"instance");he(this,"models",{});this.models={},this.instance=t}stats(){let t=0,a=0,n=0;for(let s of Object.values(xa))t+=s.sizeFromManifest,a+=s.sizeLoadedWeights,n+=s.sizeDesired;let r=n>0?a/n:0;return{numLoadedModels:Object.values(xa).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:r,totalSizeFromManifest:t,totalSizeWeights:a,totalSizeLoading:n,modelStats:Object.values(xa)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var n,r,s,i,o,l,u,p,c,d,h,f,m,g,y,x,A,b,w,C,T,N,M,F,E,I,_;ne.initial&&this.reset(),t&&(this.instance=t);let a={};a.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?l9(this.instance.config):null,a.antispoof=this.instance.config.face.enabled&&((n=this.instance.config.face.antispoof)!=null&&n.enabled)&&!this.models.antispoof?_9(this.instance.config):null,a.liveness=this.instance.config.face.enabled&&((r=this.instance.config.face.liveness)!=null&&r.enabled)&&!this.models.liveness?O9(this.instance.config):null,a.faceres=this.instance.config.face.enabled&&((s=this.instance.config.face.description)!=null&&s.enabled)&&!this.models.faceres?N9(this.instance.config):null,a.emotion=this.instance.config.face.enabled&&((i=this.instance.config.face.emotion)!=null&&i.enabled)&&!this.models.emotion?I9(this.instance.config):null,a.iris=this.instance.config.face.enabled&&((o=this.instance.config.face.iris)!=null&&o.enabled)&&!((l=this.instance.config.face.attention)!=null&&l.enabled)&&!this.models.iris?f9(this.instance.config):null,a.facemesh=this.instance.config.face.enabled&&((u=this.instance.config.face.mesh)!=null&&u.enabled)&&!this.models.facemesh?A9(this.instance.config):null,a.gear=this.instance.config.face.enabled&&((p=this.instance.config.face.gear)!=null&&p.enabled)&&!this.models.gear?B9(this.instance.config):null,a.ssrnetage=this.instance.config.face.enabled&&((c=this.instance.config.face.ssrnet)!=null&&c.enabled)&&!this.models.ssrnetage?H9(this.instance.config):null,a.ssrnetgender=this.instance.config.face.enabled&&((d=this.instance.config.face.ssrnet)!=null&&d.enabled)&&!this.models.ssrnetgender?K9(this.instance.config):null,a.mobilefacenet=this.instance.config.face.enabled&&((h=this.instance.config.face.mobilefacenet)!=null&&h.enabled)&&!this.models.mobilefacenet?eI(this.instance.config):null,a.insightface=this.instance.config.face.enabled&&((f=this.instance.config.face.insightface)!=null&&f.enabled)&&!this.models.insightface?sI(this.instance.config):null,a.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((m=this.instance.config.body.modelPath)!=null&&m.includes("blazepose"))?Uk(this.instance.config):null,a.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?Vk(this.instance.config):null,a.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((g=this.instance.config.body.modelPath)!=null&&g.includes("efficientpose"))?Kk(this.instance.config):null,a.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((y=this.instance.config.body.modelPath)!=null&&y.includes("movenet"))?YI(this.instance.config):null,a.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((x=this.instance.config.body.modelPath)!=null&&x.includes("posenet"))?oS(this.instance.config):null,a.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((b=(A=this.instance.config.hand.detector)==null?void 0:A.modelPath)!=null&&b.includes("handtrack"))?LI(this.instance.config):null,a.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((C=(w=this.instance.config.hand.detector)==null?void 0:w.modelPath)!=null&&C.includes("handtrack"))?WI(this.instance.config):null,(N=(T=this.instance.config.hand.detector)==null?void 0:T.modelPath)!=null&&N.includes("handdetect")&&([a.handpose,a.handskeleton]=this.models.handpose?[null,null]:await $I(this.instance.config)),a.centernet=this.instance.config.object.enabled&&!this.models.centernet&&((M=this.instance.config.object.modelPath)!=null&&M.includes("centernet"))?jk(this.instance.config):null,a.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((F=this.instance.config.object.modelPath)!=null&&F.includes("nanodet"))?QI(this.instance.config):null,a.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&((E=this.instance.config.segmentation.modelPath)!=null&&E.includes("selfie"))?p5(this.instance.config):null,a.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((I=this.instance.config.segmentation.modelPath)!=null&&I.includes("meet"))?Yy(this.instance.config):null,a.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((_=this.instance.config.segmentation.modelPath)!=null&&_.includes("rvm"))?d5(this.instance.config):null;for(let[O,B]of Object.entries(a))B!=null&&B.then&&B.then($=>this.models[O]=$);await Promise.all(Object.values(a))}list(){let t=Object.keys(this.models).map(a=>{var n;return{name:a,loaded:this.models[a]!==null,size:0,url:this.models[a]?(n=this.models[a])==null?void 0:n.modelUrl:null}});for(let a of t){let n=Object.keys(xa).find(r=>r.startsWith(a.name));n&&(a.size=xa[n].sizeLoadedWeights,a.url=xa[n].url)}return t}loaded(){return this.list().filter(n=>n.loaded).map(n=>n.name)}validate(){let t=[];for(let a of Object.keys(this.models)){let n=this.models[a];if(!n)continue;let r=af(this.instance,n,a);r&&t.push(r)}return t}};function mS(e,t,a,n,r){var o,l,u,p,c,d;let s=0,i=[];for(let h of e){let f={id:s++,face:h,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let b of t)h.box[0]>b.box[0]&&h.box[0]b.box[1]&&h.box[1]+h.box[3]f.body.box[0]&&b.box[0]+b.box[2]f.body.box[1]&&b.box[1]+b.box[3]f.body.box[0]&&b.box[1]+b.box[3]>f.body.box[1]&&b.box[1]+b.box[3]{b&&b.length===4&&(m.push(b[0],b[0]+b[2]),g.push(b[1],b[1]+b[3]))};y(f.face.box),y((p=f.body)==null?void 0:p.box),y((c=f.hands.left)==null?void 0:c.box),y((d=f.hands.right)==null?void 0:d.box);let x=Math.min(...m),A=Math.min(...g);f.box=[x,A,Math.max(...m)-x,Math.max(...g)-A],r!=null&&r[1]&&(r!=null&&r[2])&&(f.boxRaw=[f.box[0]/r[2],f.box[1]/r[1],f.box[2]/r[2],f.box[3]/r[1]]),i.push(f)}return i}var nf=` /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob @@ -7718,7 +8737,7 @@ PQ4GJ+ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1 8z5mOAOST2pDK91cNN+5tsrH3PrW54a06KxT7fdrlh/q1Pc+tJ6IUdZGvHPLezMcnBOWbsPap5r3 ylFtbdT1xUWNWzU0/Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY -euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,D0=` +euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,rf=` /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAsICAoIBwsKCQoNDAsNERwSEQ8PESIZGhQcKSQrKigk JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX/2wBDAQwNDREPESESEiFFLicuRUVFRUVF RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX/wAARCASwBLADASIA @@ -8286,4 +9305,4 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;async function rfe(e){let t=(r,s="application/octet-stream")=>fetch(`data:${s};base64,${r}`).then(i=>i.blob()),a,n;switch(e.config.warmup){case"face":a=await t(O0);break;case"body":case"full":a=await t(D0);break;default:a=null}if(a){let r=await createImageBitmap(a);n=await e.detect(r,e.config),r.close()}return n}async function sfe(e){return new Promise(t=>{let a;switch(e.config.warmup){case"face":a="data:image/jpeg;base64,"+O0;break;case"full":case"body":a="data:image/jpeg;base64,"+D0;break;default:a=""}let n;if(typeof Image!="undefined")n=new Image;else if(ne.Image)n=new ne.Image;else{t(void 0);return}n.onload=async()=>{let r=Rn(n.naturalWidth,n.naturalHeight);if(!r)K("Warmup: Canvas not found"),t(void 0);else{let s=r.getContext("2d");s&&s.drawImage(n,0,0);let i=await e.image(r,!0),o=i.tensor?await e.detect(i.tensor,e.config):void 0;t(o)}},a?n.src=a:t(void 0)})}async function ife(e){let t=r=>Buffer.from(r,"base64"),a;e.config.warmup==="face"?a=t(O0):a=t(D0);let n;if("node"in je&&da()==="tensorflow"){let r=(void 0).decodeJpeg(a),s=Gt(r,0);e.tf.dispose(r),n=await e.detect(s,e.config),e.tf.dispose(s)}else e.config.debug&&K("Warmup tfjs-node not loaded");return n}async function ofe(e){let t;return typeof createImageBitmap=="function"?t=await rfe(e):typeof Image!="undefined"||ne.Canvas!==void 0?t=await sfe(e):t=await ife(e),t}async function lfe(e){var o,l,u,p;if(!V().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=da(),a=tr();if(t!=="webgl"&&t!=="humangl"||!(a!=null&&a.checkCompileCompletion))return;V().set("ENGINE_COMPILE_ONLY",!0);let n=vt().state.numTensors,r=[];for(let[c,d]of Object.entries(e.models.models)){if(!d)continue;let h=d!=null&&d.modelSignature&&((l=(o=d==null?void 0:d.inputs)==null?void 0:o[0])!=null&&l.shape)?[...d.inputs[0].shape]:[1,64,64,3],f=d!=null&&d.modelSignature&&((p=(u=d==null?void 0:d.inputs)==null?void 0:u[0])!=null&&p.dtype)?d.inputs[0].dtype:"float32";for(let g=0;gJ(y)):J(g)}catch(g){e.config.debug&&K("compile fail model:",c)}J(m)}let s=await a.checkCompileCompletionAsync();a.getUniformLocations(),e.config.debug&&K("compile pass:",{models:r,kernels:s.length}),V().set("ENGINE_COMPILE_ONLY",!1);let i=vt().state.numTensors;i-n>0&&K("tensor leak:",i-n)}async function Zw(e,t){await wp(e,!1);let a=ae();return e.state="warmup",t&&(e.config=Nt(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?lr():new Promise(async n=>{await e.models.load(),await lfe(e);let r=await ofe(e),s=ae();e.config.debug&&K("warmup",e.config.warmup,Math.round(s-a),"ms"),e.emit("warmup"),n(r)})}var Mu,$p,_p,z0,Ss,b5=class{constructor(t){de(this,"version");de(this,"config");de(this,"result");de(this,"state");de(this,"process");de(this,"tf");de(this,"env",ne);de(this,"draw",e0);de(this,"match",N0);de(this,"models");de(this,"events");de(this,"faceTriangulation");de(this,"faceUVMap");de(this,"performance");Gn(this,Mu,void 0);Gn(this,$p,void 0);Gn(this,_p,void 0);de(this,"analyze",(...t)=>{if(!qa(this,$p))return;let a=this.tf.engine().state.numTensors,n=qa(this,Mu);mr(this,Mu,a);let r=a-n;r!==0&&K(...t,r)});Gn(this,z0,t=>{if(!qa(this,_p))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof ct))return"input must be a tensor";try{this.tf.getBackend()}catch(a){return"backend not loaded"}return null});de(this,"webcam",new qh);de(this,"emit",t=>{var a;(a=this.events)!=null&&a.dispatchEvent&&this.events.dispatchEvent(new Event(t))});Gn(this,Ss,{});let a=(xp.tfjs||t3).replace(/-(.*)/,"");So.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${a}/dist/`,So.modelBasePath=ne.browser?"../models/":"file://models/",this.version=K3,Object.defineProperty(this,"version",{value:K3}),this.config=JSON.parse(JSON.stringify(So)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=Nt(this.config,t)),o9(this.config),this.tf=je,this.state="idle",mr(this,Mu,0),mr(this,$p,!1),mr(this,_p,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new Mp(this),ag(),this.result=lr(),this.process={tensor:null,canvas:null},this.faceTriangulation=ek,this.faceUVMap=tk,F0(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&K(`version: ${this.version}`),this.config.debug&&K(`tfjs version: ${this.tf.version["tfjs-core"]}`);let n=JSON.parse(JSON.stringify(this.env));delete n.kernels,delete n.initial,delete n.perfadd,this.config.debug&&K("environment:",n)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(So)),this.config.backend=t,q3(),ne.initial=!0}validate(t){let a=G3(So,t||this.config);return a.length===0&&(this.config=Nt(this.config,t)),a}now(){return ae()}image(t,a=!1){return Hh(t,this.config,a)}async segmentation(t,a){var s,i,o;if(a&&(this.config=Nt(this.config,a)),!this.config.segmentation.enabled)return null;let n=await Hh(t,this.config);if(!n.tensor)return null;let r=null;return(s=this.config.segmentation.modelPath)!=null&&s.includes("rvm")&&(r=await Hw(n.tensor,this.config)),(i=this.config.segmentation.modelPath)!=null&&i.includes("meet")&&(r=await ww(n.tensor,this.config)),(o=this.config.segmentation.modelPath)!=null&&o.includes("selfie")&&(r=await qw(n.tensor,this.config)),J(n.tensor),r}compare(t,a){return i9(this.config,t,a)}async init(){await wp(this,!0),await this.tf.ready(),q3()}async load(t){this.state="load";let a=ae(),n=Object.values(this.models.models).filter(i=>i).length;t&&(this.config=Nt(this.config,t)),this.env.initial&&(await wp(this,!1)||K("error: backend check failed"),await Jd(),this.env.browser&&(this.config.debug&&K("configuration:",this.config),this.config.debug&&K("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&K("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(i=>i).length!==n&&(this.models.validate(),this.emit("load"));let s=Math.trunc(ae()-a);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return kw(t,this.config)}async warmup(t){let a=ae(),n=await Zw(this,t),r=ae();return this.performance.warmup=Math.trunc(r-a),n}async profile(t,a){let n=await this.tf.profile(()=>this.detect(t,a)),r={},s=0;for(let o of n.kernels){let l=Number(o.kernelTimeMs)||0;r[o.name]?r[o.name]+=l:r[o.name]=l,s+=l}let i=[];Object.entries(r).forEach(o=>i.push({kernel:o[0],time:o[1],perc:0}));for(let o of i)o.perc=Math.round(1e3*o.time/s)/1e3,o.time=Math.round(1e3*o.time)/1e3;return i.sort((o,l)=>l.time-o.time),i.length=20,i}async detect(t,a){return this.state="detect",new Promise(async n=>{var g,y,x,A,b,k,S,C,N,$,M,R,I,_,D,W,P,U,G,q,H;this.state="config";let r;this.config=Nt(this.config,a),this.state="check";let s=qa(this,z0).call(this,t);s&&(K(s,t),this.emit("error"),n(lr(s)));let i=ae();await this.load(),r=ae(),this.state="image";let o=await Hh(t,this.config);if(this.process=o,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(ae()-r):Math.trunc(ae()-r),this.analyze("Get Image:"),!o.tensor){this.config.debug&&K("could not convert input to tensor"),this.emit("error"),n(lr("could not convert input to tensor"));return}this.emit("image"),r=ae(),this.config.skipAllowed=await s9(this.config,o.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(ae()-r):Math.trunc(ae()-r),this.analyze("Check Changed:");let l=[],u=[],p=[],c=[];this.state="detect:face",this.config.async?(l=this.config.face.enabled?Gg(this,o.tensor):[],this.performance.face&&delete this.performance.face):(r=ae(),l=this.config.face.enabled?await Gg(this,o.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(l=await l),this.analyze("Start Body:"),this.state="detect:body";let d=this.config.body.maxDetected===-1?Nt(this.config,{body:{maxDetected:this.config.face.enabled?1*l.length:1}}):this.config;this.config.async?((g=this.config.body.modelPath)!=null&&g.includes("posenet")?u=this.config.body.enabled?f5(o.tensor,d):[]:(y=this.config.body.modelPath)!=null&&y.includes("blazepose")?u=this.config.body.enabled?og(o.tensor,d):[]:(x=this.config.body.modelPath)!=null&&x.includes("efficientpose")?u=this.config.body.enabled?fg(o.tensor,d):[]:(A=this.config.body.modelPath)!=null&&A.includes("movenet")&&(u=this.config.body.enabled?o5(o.tensor,d):[]),this.performance.body&&delete this.performance.body):(r=ae(),(b=this.config.body.modelPath)!=null&&b.includes("posenet")?u=this.config.body.enabled?await f5(o.tensor,d):[]:(k=this.config.body.modelPath)!=null&&k.includes("blazepose")?u=this.config.body.enabled?await og(o.tensor,d):[]:(S=this.config.body.modelPath)!=null&&S.includes("efficientpose")?u=this.config.body.enabled?await fg(o.tensor,d):[]:(C=this.config.body.modelPath)!=null&&C.includes("movenet")&&(u=this.config.body.enabled?await o5(o.tensor,d):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let h=this.config.hand.maxDetected===-1?Nt(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?(($=(N=this.config.hand.detector)==null?void 0:N.modelPath)!=null&&$.includes("handdetect")?p=this.config.hand.enabled?Kg(o.tensor,h):[]:(R=(M=this.config.hand.detector)==null?void 0:M.modelPath)!=null&&R.includes("handtrack")&&(p=this.config.hand.enabled?Jg(o.tensor,h):[]),this.performance.hand&&delete this.performance.hand):(r=ae(),(_=(I=this.config.hand.detector)==null?void 0:I.modelPath)!=null&&_.includes("handdetect")?p=this.config.hand.enabled?await Kg(o.tensor,h):[]:(W=(D=this.config.hand.detector)==null?void 0:D.modelPath)!=null&&W.includes("handtrack")&&(p=this.config.hand.enabled?await Jg(o.tensor,h):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((P=this.config.object.modelPath)!=null&&P.includes("nanodet")?c=this.config.object.enabled?u5(o.tensor,this.config):[]:(U=this.config.object.modelPath)!=null&&U.includes("centernet")&&(c=this.config.object.enabled?dg(o.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=ae(),(G=this.config.object.modelPath)!=null&&G.includes("nanodet")?c=this.config.object.enabled?await u5(o.tensor,this.config):[]:(q=this.config.object.modelPath)!=null&&q.includes("centernet")&&(c=this.config.object.enabled?await dg(o.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,u,p,c]=await Promise.all([l,u,p,c])),this.state="detect:gesture";let f=[];this.config.gesture.enabled&&(r=ae(),f=[...Jk(l),...Yk(u),...ew(p),...Qk(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(ae()-i):Math.trunc(ae()-i);let m=((H=this.process.tensor)==null?void 0:H.shape)||[0,0,0,0];this.result={face:l,body:u,hand:p,gesture:f,object:c,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:m[2],height:m[1],get persons(){return Kw(l,u,p,f,m)}},J(o.tensor),this.emit("detect"),this.state="idle",n(this.result)})}async sleep(t){return new Promise(a=>{setTimeout(a,t)})}async video(t,a=!0,n=0){a?(qa(this,Ss)[t.id]||(this.config.debug&&K("video start",t.id),qa(this,Ss)[t.id]=!0),!t.paused&&qa(this,Ss)[t.id]&&t.readyState>=2&&await this.detect(t),n>0&&await this.sleep(n),qa(this,Ss)[t.id]&&requestAnimationFrame(()=>this.video(t,a,n))):(this.config.debug&&K("video stop",t.id),qa(this,Ss)[t.id]=!1)}};Mu=new WeakMap,$p=new WeakMap,_p=new WeakMap,z0=new WeakMap,Ss=new WeakMap;return FI(dfe);})(); +2Q==`;async function G3e(e){let t=(r,s="application/octet-stream")=>fetch(`data:${s};base64,${r}`).then(i=>i.blob()),a,n;switch(e.config.warmup){case"face":a=await t(nf);break;case"body":case"full":a=await t(rf);break;default:a=null}if(a){let r=await createImageBitmap(a);n=await e.detect(r,e.config),r.close()}return n}async function H3e(e){return new Promise(t=>{let a;switch(e.config.warmup){case"face":a="data:image/jpeg;base64,"+nf;break;case"full":case"body":a="data:image/jpeg;base64,"+rf;break;default:a=""}let n;if(typeof Image!="undefined")n=new Image;else if(ne.Image)n=new ne.Image;else{t(void 0);return}n.onload=async()=>{let r=Fn(n.naturalWidth,n.naturalHeight);if(!r)K("Warmup: Canvas not found"),t(void 0);else{let s=r.getContext("2d");s&&s.drawImage(n,0,0);let i=await e.image(r,!0),o=i.tensor?await e.detect(i.tensor,e.config):void 0;t(o)}},a?n.src=a:t(void 0)})}async function j3e(e){let t=r=>Buffer.from(r,"base64"),a;e.config.warmup==="face"?a=t(nf):a=t(rf);let n;if("node"in je&&ha()==="tensorflow"){let r=(void 0).decodeJpeg(a),s=Ht(r,0);e.tf.dispose(r),n=await e.detect(s,e.config),e.tf.dispose(s)}else e.config.debug&&K("Warmup tfjs-node not loaded");return n}async function q3e(e){let t;return typeof createImageBitmap=="function"?t=await G3e(e):typeof Image!="undefined"||ne.Canvas!==void 0?t=await H3e(e):t=await j3e(e),t}async function X3e(e){var o,l,u,p;if(!W().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=ha(),a=nr();if(t!=="webgl"&&t!=="humangl"||!(a!=null&&a.checkCompileCompletion))return;W().set("ENGINE_COMPILE_ONLY",!0);let n=It().state.numTensors,r=[];for(let[c,d]of Object.entries(e.models.models)){if(!d)continue;let h=d!=null&&d.modelSignature&&((l=(o=d==null?void 0:d.inputs)==null?void 0:o[0])!=null&&l.shape)?[...d.inputs[0].shape]:[1,64,64,3],f=d!=null&&d.modelSignature&&((p=(u=d==null?void 0:d.inputs)==null?void 0:u[0])!=null&&p.dtype)?d.inputs[0].dtype:"float32";for(let g=0;gJ(y)):J(g)}catch(g){e.config.debug&&K("compile fail model:",c)}J(m)}let s=await a.checkCompileCompletionAsync();a.getUniformLocations(),e.config.debug&&K("compile pass:",{models:r,kernels:s.length}),W().set("ENGINE_COMPILE_ONLY",!1);let i=It().state.numTensors;i-n>0&&K("tensor leak:",i-n)}async function gS(e,t){await Jp(e,!1);let a=ae();return e.state="warmup",t&&(e.config=Et(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?pr():new Promise(async n=>{await e.models.load(),await X3e(e);let r=await q3e(e),s=ae();e.config.debug&&K("warmup",e.config.warmup,Math.round(s-a),"ms"),e.emit("warmup"),n(r)})}var rd,oc,lc,sf,Ns,h5=class{constructor(t){he(this,"version");he(this,"config");he(this,"result");he(this,"state");he(this,"process");he(this,"tf");he(this,"env",ne);he(this,"draw",v0);he(this,"match",K0);he(this,"models");he(this,"events");he(this,"faceTriangulation");he(this,"faceUVMap");he(this,"performance");qn(this,rd,void 0);qn(this,oc,void 0);qn(this,lc,void 0);he(this,"analyze",(...t)=>{if(!Xa(this,oc))return;let a=this.tf.engine().state.numTensors,n=Xa(this,rd);xr(this,rd,a);let r=a-n;r!==0&&K(...t,r)});qn(this,sf,t=>{if(!Xa(this,lc))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof gt))return"input must be a tensor";try{this.tf.getBackend()}catch(a){return"backend not loaded"}return null});he(this,"webcam",new f0);he(this,"emit",t=>{var a;(a=this.events)!=null&&a.dispatchEvent&&this.events.dispatchEvent(new Event(t))});qn(this,Ns,{});let a=(qp.tfjs||j3).replace(/-(.*)/,"");Qo.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${a}/dist/`,Qo.modelBasePath=ne.browser?"../models/":"file://models/",this.version=Vg,Object.defineProperty(this,"version",{value:Vg}),this.config=JSON.parse(JSON.stringify(Qo)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=Et(this.config,t)),Tk(this.config),this.tf=je,this.state="idle",xr(this,rd,0),xr(this,oc,!1),xr(this,lc,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new ic(this),Kg(),this.result=pr(),this.process={tensor:null,canvas:null},this.faceTriangulation=b9,this.faceUVMap=v9,af(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&K(`version: ${this.version}`),this.config.debug&&K(`tfjs version: ${this.tf.version["tfjs-core"]}`);let n=JSON.parse(JSON.stringify(this.env));delete n.kernels,delete n.initial,delete n.perfadd,this.config.debug&&K("environment:",n)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(Qo)),this.config.backend=t,Wg(),ne.initial=!0}validate(t){let a=Og(Qo,t||this.config);return a.length===0&&(this.config=Et(this.config,t)),a}now(){return ae()}image(t,a=!1){return c0(t,this.config,a)}async segmentation(t,a){var s,i,o;if(a&&(this.config=Et(this.config,a)),!this.config.segmentation.enabled)return null;let n=await c0(t,this.config);if(!n.tensor)return null;let r=null;return(s=this.config.segmentation.modelPath)!=null&&s.includes("rvm")&&(r=await pS(n.tensor,this.config)),(i=this.config.segmentation.modelPath)!=null&&i.includes("meet")&&(r=await UI(n.tensor,this.config)),(o=this.config.segmentation.modelPath)!=null&&o.includes("selfie")&&(r=await hS(n.tensor,this.config)),J(n.tensor),r}compare(t,a){return Ck(this.config,t,a)}async init(){await Jp(this,!0),await this.tf.ready(),Wg()}async load(t){this.state="load";let a=ae(),n=Object.values(this.models.models).filter(i=>i).length;t&&(this.config=Et(this.config,t)),this.env.initial&&(await Jp(this,!1)||K("error: backend check failed"),await Np(),this.env.browser&&(this.config.debug&&K("configuration:",this.config),this.config.debug&&K("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&K("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(i=>i).length!==n&&(this.models.validate(),this.emit("load"));let s=Math.trunc(ae()-a);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return VI(t,this.config)}async warmup(t){let a=ae(),n=await gS(this,t),r=ae();return this.performance.warmup=Math.trunc(r-a),n}async profile(t,a){let n=await this.tf.profile(()=>this.detect(t,a)),r={},s=0;for(let o of n.kernels){let l=Number(o.kernelTimeMs)||0;r[o.name]?r[o.name]+=l:r[o.name]=l,s+=l}let i=[];Object.entries(r).forEach(o=>i.push({kernel:o[0],time:o[1],perc:0}));for(let o of i)o.perc=Math.round(1e3*o.time/s)/1e3,o.time=Math.round(1e3*o.time)/1e3;return i.sort((o,l)=>l.time-o.time),i.length=20,i}async detect(t,a){return this.state="detect",new Promise(async n=>{var g,y,x,A,b,w,C,T,N,M,F,E,I,_,O,B,$,U,G,q,H;this.state="config";let r;this.config=Et(this.config,a),this.state="check";let s=Xa(this,sf).call(this,t);s&&(K(s,t),this.emit("error"),n(pr(s)));let i=ae();await this.load(),r=ae(),this.state="image";let o=await c0(t,this.config);if(this.process=o,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(ae()-r):Math.trunc(ae()-r),this.analyze("Get Image:"),!o.tensor){this.config.debug&&K("could not convert input to tensor"),this.emit("error"),n(pr("could not convert input to tensor"));return}this.emit("image"),r=ae(),this.config.skipAllowed=await Sk(this.config,o.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(ae()-r):Math.trunc(ae()-r),this.analyze("Check Changed:");let l=[],u=[],p=[],c=[];this.state="detect:face",this.config.async?(l=this.config.face.enabled?Oy(this,o.tensor):[],this.performance.face&&delete this.performance.face):(r=ae(),l=this.config.face.enabled?await Oy(this,o.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(l=await l),this.analyze("Start Body:"),this.state="detect:body";let d=this.config.body.maxDetected===-1?Et(this.config,{body:{maxDetected:this.config.face.enabled?1*l.length:1}}):this.config;this.config.async?((g=this.config.body.modelPath)!=null&&g.includes("posenet")?u=this.config.body.enabled?o5(o.tensor,d):[]:(y=this.config.body.modelPath)!=null&&y.includes("blazepose")?u=this.config.body.enabled?ey(o.tensor,d):[]:(x=this.config.body.modelPath)!=null&&x.includes("efficientpose")?u=this.config.body.enabled?oy(o.tensor,d):[]:(A=this.config.body.modelPath)!=null&&A.includes("movenet")&&(u=this.config.body.enabled?e5(o.tensor,d):[]),this.performance.body&&delete this.performance.body):(r=ae(),(b=this.config.body.modelPath)!=null&&b.includes("posenet")?u=this.config.body.enabled?await o5(o.tensor,d):[]:(w=this.config.body.modelPath)!=null&&w.includes("blazepose")?u=this.config.body.enabled?await ey(o.tensor,d):[]:(C=this.config.body.modelPath)!=null&&C.includes("efficientpose")?u=this.config.body.enabled?await oy(o.tensor,d):[]:(T=this.config.body.modelPath)!=null&&T.includes("movenet")&&(u=this.config.body.enabled?await e5(o.tensor,d):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let h=this.config.hand.maxDetected===-1?Et(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?((M=(N=this.config.hand.detector)==null?void 0:N.modelPath)!=null&&M.includes("handdetect")?p=this.config.hand.enabled?Vy(o.tensor,h):[]:(E=(F=this.config.hand.detector)==null?void 0:F.modelPath)!=null&&E.includes("handtrack")&&(p=this.config.hand.enabled?Hy(o.tensor,h):[]),this.performance.hand&&delete this.performance.hand):(r=ae(),(_=(I=this.config.hand.detector)==null?void 0:I.modelPath)!=null&&_.includes("handdetect")?p=this.config.hand.enabled?await Vy(o.tensor,h):[]:(B=(O=this.config.hand.detector)==null?void 0:O.modelPath)!=null&&B.includes("handtrack")&&(p=this.config.hand.enabled?await Hy(o.tensor,h):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?(($=this.config.object.modelPath)!=null&&$.includes("nanodet")?c=this.config.object.enabled?a5(o.tensor,this.config):[]:(U=this.config.object.modelPath)!=null&&U.includes("centernet")&&(c=this.config.object.enabled?ny(o.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=ae(),(G=this.config.object.modelPath)!=null&&G.includes("nanodet")?c=this.config.object.enabled?await a5(o.tensor,this.config):[]:(q=this.config.object.modelPath)!=null&&q.includes("centernet")&&(c=this.config.object.enabled?await ny(o.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,u,p,c]=await Promise.all([l,u,p,c])),this.state="detect:gesture";let f=[];this.config.gesture.enabled&&(r=ae(),f=[...xI(l),...yI(u),...bI(p),...AI(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(ae()-r):Math.trunc(ae()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(ae()-i):Math.trunc(ae()-i);let m=((H=this.process.tensor)==null?void 0:H.shape)||[0,0,0,0];this.result={face:l,body:u,hand:p,gesture:f,object:c,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:m[2],height:m[1],get persons(){return mS(l,u,p,f,m)}},J(o.tensor),this.emit("detect"),this.state="idle",n(this.result)})}async sleep(t){return new Promise(a=>{setTimeout(a,t)})}async video(t,a=!0,n=0){a?(Xa(this,Ns)[t.id]||(this.config.debug&&K("video start",t.id),Xa(this,Ns)[t.id]=!0),!t.paused&&Xa(this,Ns)[t.id]&&t.readyState>=2&&await this.detect(t),n>0&&await this.sleep(n),Xa(this,Ns)[t.id]&&requestAnimationFrame(()=>this.video(t,a,n))):(this.config.debug&&K("video stop",t.id),Xa(this,Ns)[t.id]=!1)}};rd=new WeakMap,oc=new WeakMap,lc=new WeakMap,sf=new WeakMap,Ns=new WeakMap;return tC(Y3e);})(); diff --git a/dist/human.node-gpu.js b/dist/human.node-gpu.js index b2be29c8..b580294e 100644 --- a/dist/human.node-gpu.js +++ b/dist/human.node-gpu.js @@ -4,7 +4,323 @@ author: ' */ -"use strict";var Wo=Object.create;var w2=Object.defineProperty;var Do=Object.getOwnPropertyDescriptor;var Fo=Object.getOwnPropertyNames;var Bo=Object.getPrototypeOf,Ho=Object.prototype.hasOwnProperty;var Go=(e,t,n)=>t in e?w2(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var Vo=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),ze=(e,t)=>{for(var n in t)w2(e,n,{get:t[n],enumerable:!0})},j1=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of Fo(t))!Ho.call(e,r)&&r!==n&&w2(e,r,{get:()=>t[r],enumerable:!(o=Do(t,r))||o.enumerable});return e};var G=(e,t,n)=>(n=e!=null?Wo(Bo(e)):{},j1(t||!e||!e.__esModule?w2(n,"default",{value:e,enumerable:!0}):n,e)),Zo=e=>j1(w2({},"__esModule",{value:!0}),e);var w=(e,t,n)=>(Go(e,typeof t!="symbol"?t+"":t,n),n),I1=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Y0=(e,t,n)=>(I1(e,t,"read from private field"),n?n.call(e):t.get(e)),ue=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Re=(e,t,n,o)=>(I1(e,t,"write to private field"),o?o.call(e,n):t.set(e,n),n);var H=Vo((ga,Kt)=>{"use strict";var Ut=Object.defineProperty,Xo=Object.getOwnPropertyDescriptor,qo=Object.getOwnPropertyNames,Uo=Object.prototype.hasOwnProperty,Yo=(e,t)=>{for(var n in t)Ut(e,n,{get:t[n],enumerable:!0})},qt=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of qo(t))!Uo.call(e,r)&&r!==n&&Ut(e,r,{get:()=>t[r],enumerable:!(o=Xo(t,r))||o.enumerable});return e},Ko=(e,t,n)=>(qt(e,t,"default"),n&&qt(n,t,"default")),Jo=e=>qt(Ut({},"__esModule",{value:!0}),e),Yt={};Yo(Yt,{version:()=>nr});Kt.exports=Jo(Yt);Ko(Yt,require("@tensorflow/tfjs-node-gpu"),Kt.exports);var N1="4.2.0",Qo="4.2.0",_o="4.2.0",$o="4.2.0",er="4.2.0",tr="0.0.1-alpha.17",nr={tfjs:N1,"tfjs-core":N1,"tfjs-converter":Qo,"tfjs-backend-cpu":_o,"tfjs-backend-webgl":$o,"tfjs-backend-wasm":er,"tfjs-backend-webgpu":tr}});var ha={};ze(ha,{Env:()=>E2,Human:()=>k1,default:()=>k1,defaults:()=>Ke,draw:()=>nt,empty:()=>Te,env:()=>R,match:()=>Ot,models:()=>P1});module.exports=Zo(ha);var de=G(H());function h(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function L1(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Jt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Jt(e[r],t[r],r,o);else{let s=e&&typeof e[r]!="undefined";s||o.push({reason:"unknown property",where:`${n}.${r} = ${t[r]}`});let A=e&&typeof e[r]==typeof t[r];s&&!A&&o.push({reason:"property type mismatch",where:`${n}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&n==="config"&&o.length>0&&h("invalid configuration",o),o}function a0(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(r=>{let s=n[r],A=o[r];Array.isArray(s)&&Array.isArray(A)?n[r]=s.concat(...A):t(s)&&t(A)?n[r]=a0(s,A):n[r]=A}),n),{})}var Ke={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var W0=G(H());var I=G(H());var O1=` +"use strict"; +var __create = Object.create; +var __defProp = Object.defineProperty; +var __getOwnPropDesc = Object.getOwnPropertyDescriptor; +var __getOwnPropNames = Object.getOwnPropertyNames; +var __getProtoOf = Object.getPrototypeOf; +var __hasOwnProp = Object.prototype.hasOwnProperty; +var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; +var __commonJS = (cb, mod3) => function __require() { + return mod3 || (0, cb[__getOwnPropNames(cb)[0]])((mod3 = { exports: {} }).exports, mod3), mod3.exports; +}; +var __export = (target, all2) => { + for (var name in all2) + __defProp(target, name, { get: all2[name], enumerable: true }); +}; +var __copyProps = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames(from)) + if (!__hasOwnProp.call(to, key) && key !== except) + __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); + } + return to; +}; +var __toESM = (mod3, isNodeMode, target) => (target = mod3 != null ? __create(__getProtoOf(mod3)) : {}, __copyProps( + // If the importer is in node compatibility mode or this is not an ESM + // file that has been converted to a CommonJS file using a Babel- + // compatible transform (i.e. "__esModule" has not been set), then set + // "default" to the CommonJS "module.exports" for node compatibility. + isNodeMode || !mod3 || !mod3.__esModule ? __defProp(target, "default", { value: mod3, enumerable: true }) : target, + mod3 +)); +var __toCommonJS = (mod3) => __copyProps(__defProp({}, "__esModule", { value: true }), mod3); +var __publicField = (obj, key, value) => { + __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value); + return value; +}; +var __accessCheck = (obj, member, msg) => { + if (!member.has(obj)) + throw TypeError("Cannot " + msg); +}; +var __privateGet = (obj, member, getter) => { + __accessCheck(obj, member, "read from private field"); + return getter ? getter.call(obj) : member.get(obj); +}; +var __privateAdd = (obj, member, value) => { + if (member.has(obj)) + throw TypeError("Cannot add the same private member more than once"); + member instanceof WeakSet ? member.add(obj) : member.set(obj, value); +}; +var __privateSet = (obj, member, value, setter) => { + __accessCheck(obj, member, "write to private field"); + setter ? setter.call(obj, value) : member.set(obj, value); + return value; +}; + +// dist/tfjs.esm.js +var require_tfjs_esm = __commonJS({ + "dist/tfjs.esm.js"(exports, module2) { + "use strict"; + var __defProp2 = Object.defineProperty; + var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; + var __getOwnPropNames2 = Object.getOwnPropertyNames; + var __hasOwnProp2 = Object.prototype.hasOwnProperty; + var __export2 = (target, all2) => { + for (var name in all2) + __defProp2(target, name, { get: all2[name], enumerable: true }); + }; + var __copyProps2 = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames2(from)) + if (!__hasOwnProp2.call(to, key) && key !== except) + __defProp2(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc2(from, key)) || desc.enumerable }); + } + return to; + }; + var __reExport = (target, mod3, secondTarget) => (__copyProps2(target, mod3, "default"), secondTarget && __copyProps2(secondTarget, mod3, "default")); + var __toCommonJS2 = (mod3) => __copyProps2(__defProp2({}, "__esModule", { value: true }), mod3); + var tf_node_gpu_exports = {}; + __export2(tf_node_gpu_exports, { + version: () => version7 + }); + module2.exports = __toCommonJS2(tf_node_gpu_exports); + __reExport(tf_node_gpu_exports, require("@tensorflow/tfjs-node-gpu"), module2.exports); + var version4 = "4.5.0"; + var version22 = "4.5.0"; + var version32 = "4.5.0"; + var version42 = "4.5.0"; + var version5 = "4.5.0"; + var version6 = "0.0.1-alpha.20"; + var version7 = { + tfjs: version4, + "tfjs-core": version4, + // 'tfjs-data': tfjsDataVersion, + // 'tfjs-layers': tfjsLayersVersion, + "tfjs-converter": version22, + "tfjs-backend-cpu": version32, + "tfjs-backend-webgl": version42, + "tfjs-backend-wasm": version5, + "tfjs-backend-webgpu": version6 + }; + } +}); + +// src/human.ts +var human_exports = {}; +__export(human_exports, { + Env: () => Env, + Human: () => Human, + default: () => Human, + defaults: () => config, + draw: () => draw_exports, + empty: () => empty, + env: () => env, + match: () => match_exports, + models: () => models_exports2 +}); +module.exports = __toCommonJS(human_exports); +var tf38 = __toESM(require_tfjs_esm()); + +// src/util/util.ts +function log(...msg) { + const dt = /* @__PURE__ */ new Date(); + const ts = `${dt.getHours().toString().padStart(2, "0")}:${dt.getMinutes().toString().padStart(2, "0")}:${dt.getSeconds().toString().padStart(2, "0")}.${dt.getMilliseconds().toString().padStart(3, "0")}`; + if (msg) + console.log(ts, "Human:", ...msg); +} +function join(folder, file) { + const separator = folder.endsWith("/") ? "" : "/"; + const skipJoin = file.startsWith(".") || file.startsWith("/") || file.startsWith("http:") || file.startsWith("https:") || file.startsWith("file:"); + const path = skipJoin ? `${file}` : `${folder}${separator}${file}`; + if (!path.toLocaleLowerCase().includes(".json")) + throw new Error(`modelpath error: expecting json file: ${path}`); + return path; +} +var now = () => { + if (typeof performance !== "undefined") + return performance.now(); + return parseInt((Number(process.hrtime.bigint()) / 1e3 / 1e3).toString()); +}; +function validate(defaults, config3, parent = "config", msgs = []) { + for (const key of Object.keys(config3)) { + if (typeof config3[key] === "object") { + validate(defaults[key], config3[key], key, msgs); + } else { + const defined = defaults && typeof defaults[key] !== "undefined"; + if (!defined) + msgs.push({ reason: "unknown property", where: `${parent}.${key} = ${config3[key]}` }); + const same = defaults && typeof defaults[key] === typeof config3[key]; + if (defined && !same) + msgs.push({ reason: "property type mismatch", where: `${parent}.${key} = ${config3[key]}`, expected: typeof defaults[key] }); + } + } + if (config3.debug && parent === "config" && msgs.length > 0) + log("invalid configuration", msgs); + return msgs; +} +function mergeDeep(...objects) { + const isObject = (obj) => obj && typeof obj === "object"; + return objects.reduce((prev, obj) => { + Object.keys(obj || {}).forEach((key) => { + const pVal = prev[key]; + const oVal = obj[key]; + if (Array.isArray(pVal) && Array.isArray(oVal)) + prev[key] = pVal.concat(...oVal); + else if (isObject(pVal) && isObject(oVal)) + prev[key] = mergeDeep(pVal, oVal); + else + prev[key] = oVal; + }); + return prev; + }, {}); +} + +// src/config.ts +var config = { + backend: "", + modelBasePath: "", + cacheModels: true, + validateModels: true, + wasmPath: "", + wasmPlatformFetch: false, + debug: false, + async: true, + warmup: "full", + cacheSensitivity: 0.7, + skipAllowed: false, + deallocate: false, + flags: {}, + softwareKernels: false, + filter: { + enabled: true, + equalization: false, + width: 0, + height: 0, + flip: false, + return: true, + autoBrightness: true, + brightness: 0, + contrast: 0, + sharpness: 0, + blur: 0, + saturation: 0, + hue: 0, + negative: false, + sepia: false, + vintage: false, + kodachrome: false, + technicolor: false, + polaroid: false, + pixelate: 0 + }, + gesture: { + enabled: true + }, + face: { + enabled: true, + detector: { + modelPath: "blazeface.json", + rotation: false, + maxDetected: 1, + skipFrames: 99, + skipTime: 2500, + minConfidence: 0.2, + minSize: 0, + iouThreshold: 0.1, + mask: false, + return: false + }, + mesh: { + enabled: true, + modelPath: "facemesh.json", + keepInvalid: false + }, + attention: { + enabled: false, + modelPath: "facemesh-attention.json" + }, + iris: { + enabled: true, + modelPath: "iris.json" + }, + emotion: { + enabled: true, + minConfidence: 0.1, + skipFrames: 99, + skipTime: 1500, + modelPath: "emotion.json" + }, + description: { + enabled: true, + modelPath: "faceres.json", + skipFrames: 99, + skipTime: 3e3, + minConfidence: 0.1 + }, + antispoof: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "antispoof.json" + }, + liveness: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "liveness.json" + } + }, + body: { + enabled: true, + modelPath: "movenet-lightning.json", + maxDetected: -1, + minConfidence: 0.3, + skipFrames: 1, + skipTime: 200 + }, + hand: { + enabled: true, + rotation: true, + skipFrames: 99, + skipTime: 1e3, + minConfidence: 0.5, + iouThreshold: 0.2, + maxDetected: -1, + landmarks: true, + detector: { + modelPath: "handtrack.json" + }, + skeleton: { + modelPath: "handlandmark-lite.json" + } + }, + object: { + enabled: false, + modelPath: "centernet.json", + minConfidence: 0.2, + iouThreshold: 0.4, + maxDetected: 10, + skipFrames: 99, + skipTime: 2e3 + }, + segmentation: { + enabled: false, + modelPath: "rvm.json", + ratio: 0.5, + mode: "default" + } +}; + +// src/util/env.ts +var tf3 = __toESM(require_tfjs_esm()); + +// src/image/image.ts +var tf2 = __toESM(require_tfjs_esm()); + +// src/image/imagefxshaders.ts +var vertexIdentity = ` precision highp float; attribute vec2 pos; attribute vec2 uv; @@ -14,7 +330,8 @@ vUv = uv; gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.); } -`;var C1=` +`; +var colorMatrixWithAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -26,7 +343,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14]; gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19]; } -`,W1=` +`; +var colorMatrixWithoutAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -38,7 +356,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14]; gl_FragColor.a = c.a; } -`,D1=` +`; +var pixelate = ` precision highp float; varying vec2 vUv; uniform vec2 size; @@ -51,7 +370,8 @@ vec2 coord = pixelate(vUv, size); gl_FragColor += texture2D(texture, coord); } -`,F1=` +`; +var blur = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -74,7 +394,8 @@ gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794; gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265; } -`,B1=` +`; +var convolution = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -96,20 +417,6195 @@ c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var Qt=(e,t,n)=>{let o=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(o,(r,s)=>(n[s]=0,r))},_t=class{constructor(t,n,o){w(this,"uniform",{});w(this,"attribute",{});w(this,"gl");w(this,"id");w(this,"compile",(t,n)=>{let o=this.gl.createShader(n);return o?(this.gl.shaderSource(o,t),this.gl.compileShader(o),this.gl.getShaderParameter(o,this.gl.COMPILE_STATUS)?o:(h(`filter: gl compile failed: ${this.gl.getShaderInfoLog(o)||"unknown"}`),null)):(h("filter: could not create shader"),null)});this.gl=t;let r=this.compile(n,this.gl.VERTEX_SHADER),s=this.compile(o,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!r||!s)){if(!this.id){h("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,r),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){h(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),Qt(n,"attribute",this.attribute);for(let A in this.attribute)this.attribute[A]=this.gl.getAttribLocation(this.id,A);Qt(n,"uniform",this.uniform),Qt(o,"uniform",this.uniform);for(let A in this.uniform)this.uniform[A]=this.gl.getUniformLocation(this.id,A)}}};function H1(){let e=0,t=null,n=!1,o=-1,r=[null,null],s=[],A=null,a=null,l=Ae(100,100),c={},x={INTERMEDIATE:1},i=l.getContext("webgl");if(!i){h("filter: cannot get webgl context");return}this.gl=i;function f(g,p){if(!(g===l.width&&p===l.height)){if(l.width=g,l.height=p,!A){let b=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);A=i.createBuffer(),i.bindBuffer(i.ARRAY_BUFFER,A),i.bufferData(i.ARRAY_BUFFER,b,i.STATIC_DRAW),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}i.viewport(0,0,l.width,l.height),r=[null,null]}}function d(g,p){let b=i.createFramebuffer();i.bindFramebuffer(i.FRAMEBUFFER,b);let k=i.createRenderbuffer();i.bindRenderbuffer(i.RENDERBUFFER,k);let P=i.createTexture();return i.bindTexture(i.TEXTURE_2D,P),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,g,p,0,i.RGBA,i.UNSIGNED_BYTE,null),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.framebufferTexture2D(i.FRAMEBUFFER,i.COLOR_ATTACHMENT0,i.TEXTURE_2D,P,0),i.bindTexture(i.TEXTURE_2D,null),i.bindFramebuffer(i.FRAMEBUFFER,null),{fbo:b,texture:P}}function m(g){return r[g]=r[g]||d(l.width,l.height),r[g]}function y(g=0){if(!a)return;let p=null,b=null,k=!1;e===0?p=t:p=m(o).texture||null,e++,n&&!(g&x.INTERMEDIATE)?(b=null,k=e%2===0):(o=(o+1)%2,b=m(o).fbo||null),i.bindTexture(i.TEXTURE_2D,p),i.bindFramebuffer(i.FRAMEBUFFER,b),i.uniform1f(a.uniform.flipY,k?-1:1),i.drawArrays(i.TRIANGLES,0,6)}function u(g){if(c[g])return a=c[g],i.useProgram((a?a.id:null)||null),a;if(a=new _t(i,O1,g),!a)return h("filter: could not get webgl program"),null;let p=Float32Array.BYTES_PER_ELEMENT,b=4*p;return i.enableVertexAttribArray(a.attribute.pos),i.vertexAttribPointer(a.attribute.pos,2,i.FLOAT,!1,b,0*p),i.enableVertexAttribArray(a.attribute.uv),i.vertexAttribPointer(a.attribute.uv,2,i.FLOAT,!1,b,2*p),c[g]=a,a}let T={colorMatrix:g=>{let p=new Float32Array(g);p[4]/=255,p[9]/=255,p[14]/=255,p[19]/=255;let b=p[18]===1&&p[3]===0&&p[8]===0&&p[13]===0&&p[15]===0&&p[16]===0&&p[17]===0&&p[19]===0?W1:C1,k=u(b);k&&(i.uniform1fv(k.uniform.m,p),y())},brightness:g=>{let p=(g||0)+1;T.colorMatrix([p,0,0,0,0,0,p,0,0,0,0,0,p,0,0,0,0,0,1,0])},saturation:g=>{let p=(g||0)*2/3+1,b=(p-1)*-.5;T.colorMatrix([p,b,b,0,0,b,p,b,0,0,b,b,p,0,0,0,0,0,1,0])},desaturate:()=>{T.saturation(-1)},contrast:g=>{let p=(g||0)+1,b=-128*(p-1);T.colorMatrix([p,0,0,0,b,0,p,0,0,b,0,0,p,0,b,0,0,0,1,0])},negative:()=>{T.contrast(-2)},hue:g=>{g=(g||0)/180*Math.PI;let p=Math.cos(g),b=Math.sin(g),k=.213,P=.715,N=.072;T.colorMatrix([k+p*(1-k)+b*-k,P+p*-P+b*-P,N+p*-N+b*(1-N),0,0,k+p*-k+b*.143,P+p*(1-P)+b*.14,N+p*-N+b*-.283,0,0,k+p*-k+b*-(1-k),P+p*-P+b*P,N+p*(1-N)+b*N,0,0,0,0,0,1,0])},desaturateLuminance:()=>{T.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{T.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{T.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{T.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{T.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{T.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{T.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{T.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:g=>{let p=new Float32Array(g),b=1/l.width,k=1/l.height,P=u(B1);P&&(i.uniform1fv(P.uniform.m,p),i.uniform2f(P.uniform.px,b,k),y())},detectEdges:()=>{T.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{T.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{T.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:g=>{let p=g||1;T.convolution.call(this,[0,-1*p,0,-1*p,1+4*p,-1*p,0,-1*p,0])},emboss:g=>{let p=g||1;T.convolution.call(this,[-2*p,-1*p,0,-1*p,1,1*p,0,1*p,2*p])},blur:g=>{let p=g/7/l.width,b=g/7/l.height,k=u(F1);k&&(i.uniform2f(k.uniform.px,0,b),y(x.INTERMEDIATE),i.uniform2f(k.uniform.px,p,0),y())},pixelate:g=>{let p=g/l.width,b=g/l.height,k=u(D1);k&&(i.uniform2f(k.uniform.size,p,b),y())}};this.add=function(g){let p=Array.prototype.slice.call(arguments,1),b=T[g];s.push({func:b,args:p})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(g){f(g.width,g.height),e=0,t||(t=i.createTexture()),i.bindTexture(i.TEXTURE_2D,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,g);for(let p=0;px.data())),A=Math.max(s[0][0],s[1][0],s[2][0]),l=(A>1?255:1)/A,c;if(l>1){let x=[U.sub(n[0],o[0]),U.sub(n[1],o[1]),U.sub(n[2],o[2])],i=[U.sub(r[0],o[0]),U.sub(r[1],o[1]),U.sub(r[2],o[2])],f=[U.mul(x[0],l),U.mul(x[1],l),U.mul(x[2],l)],d=U.stack([f[0],f[1],f[2]],2);c=U.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),U.dispose([...x,...i,...f])}else c=U.expandDims(t,0);return U.dispose([...n,...o,...r,n,t,e]),c}var X2=3840,R0=null,M0=null,y2=null,e0,ne={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function $t(){ne.inputSum=0,ne.cacheDiff=1,ne.sumMethod=0,ne.inputTensor=void 0}function Ae(e,t){let n;if(R.browser)if(R.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")n=document.createElement("canvas"),n.width=e,n.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof R.Canvas!="undefined")n=new R.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")n=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof R.Canvas!="undefined"?n=new R.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t));return n}function q2(e,t){let n=t||Ae(e.width,e.height);return n.getContext("2d").drawImage(e,0,0),n}async function U2(e,t,n=!0){var f,d,m;if(!e)return t.debug&&h("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof I.Tensor)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof I.Tensor){let y=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)y=I.expandDims(e,0);else if(e.shape[2]===4){let u=I.slice3d(e,[0,0,0],[-1,-1,3]);y=I.expandDims(u,0),I.dispose(u)}}else e.shape.length===4&&(e.shape[3]===3?y=I.clone(e):e.shape[3]===4&&(y=I.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(y==null||y.shape.length!==4||y.shape[0]!==1||y.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(y.dtype==="int32"){let u=I.cast(y,"float32");I.dispose(y),y=u}return{tensor:y,canvas:t.filter.return?M0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&h("input stream is not ready"),{tensor:null,canvas:R0};let o=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!o||!r)return t.debug&&h("cannot determine input dimensions"),{tensor:null,canvas:R0};let s=o,A=r;if(s>X2&&(s=X2,A=Math.trunc(s*r/o)),A>X2&&(A=X2,s=Math.trunc(A*o/r)),(((f=t.filter)==null?void 0:f.width)||0)>0?s=t.filter.width:(((d=t.filter)==null?void 0:d.height)||0)>0&&(s=o*((t.filter.height||0)/r)),(t.filter.height||0)>0?A=t.filter.height:(t.filter.width||0)>0&&(A=r*((t.filter.width||0)/o)),!s||!A)throw new Error("input error: cannot determine dimension");(!R0||R0.width!==s||R0.height!==A)&&(R0=Ae(s,A));let a=R0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?a.putImageData(e,0,0):t.filter.flip&&typeof a.translate!="undefined"?(a.translate(o,0),a.scale(-1,1),a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),a.setTransform(1,0,0,1,0,0)):a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),(!M0||R0.width!==M0.width||R0.height!==M0.height)&&(M0=Ae(R0.width,R0.height)),t.filter.enabled&&R.webgl.supported?(e0||(e0=R.browser?new H1:null),R.filter=!!e0,e0!=null&&e0.add?(e0.reset(),t.filter.brightness!==0&&e0.add("brightness",t.filter.brightness),t.filter.contrast!==0&&e0.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&e0.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&e0.add("blur",t.filter.blur),t.filter.saturation!==0&&e0.add("saturation",t.filter.saturation),t.filter.hue!==0&&e0.add("hue",t.filter.hue),t.filter.negative&&e0.add("negative"),t.filter.sepia&&e0.add("sepia"),t.filter.vintage&&e0.add("brownie"),t.filter.sepia&&e0.add("sepia"),t.filter.kodachrome&&e0.add("kodachrome"),t.filter.technicolor&&e0.add("technicolor"),t.filter.polaroid&&e0.add("polaroid"),t.filter.pixelate!==0&&e0.add("pixelate",t.filter.pixelate),((m=e0.get())==null?void 0:m.length)>1?M0=e0.apply(R0):M0=e0.draw(R0)):(t.debug&&h("input process error: cannot initialize filters"),R.webgl.supported=!1,t.filter.enabled=!1,q2(R0,M0))):(q2(R0,M0),e0&&(e0=null),R.filter=!!e0),!n)return{tensor:null,canvas:M0};if(!M0)throw new Error("canvas error: cannot create output");let l,c=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(R.browser&&I.browser)l=I.browser?I.browser.fromPixels(e):null;else{c=e.data.length/e.height/e.width;let y=new Uint8Array(e.data.buffer);l=I.tensor(y,[e.height,e.width,c],"int32")}else if((!y2||M0.width!==y2.width||M0.height!==y2.height)&&(y2=Ae(M0.width,M0.height)),I.browser&&R.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=I.browser.fromPixels(M0):(y2=q2(M0),l=I.browser.fromPixels(y2));else{let T=q2(M0).getContext("2d").getImageData(0,0,s,A);c=T.data.length/s/A;let g=new Uint8Array(T.data.buffer);l=I.tensor(g,[s,A,c])}if(c===4){let y=I.slice3d(l,[0,0,0],[-1,-1,3]);I.dispose(l),l=y}if(!l)throw new Error("input error: cannot create tensor");let x=I.cast(l,"float32"),i=t.filter.equalization?await Z2(x):I.expandDims(x,0);if(I.dispose([l,x]),t.filter.autoBrightness){let y=I.max(i),u=await y.data();t.filter.brightness=u[0]>1?1-u[0]/255:1-u[0],I.dispose(y)}return{tensor:i,canvas:t.filter.return?M0:null}}async function G1(e,t){let n=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return n;if(!ne.inputTensor)ne.inputTensor=I.clone(t);else if(ne.inputTensor.shape[1]!==t.shape[1]||ne.inputTensor.shape[2]!==t.shape[2])I.dispose(ne.inputTensor),ne.inputTensor=I.clone(t);else{let o={};o.diff=I.sub(t,ne.inputTensor),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;I.dispose([ne.inputTensor,o.diff,o.squared,o.sum]),ne.inputTensor=I.clone(t),n=s<=(e.cacheSensitivity||0)}return n}async function V1(e,t,n){let o={};if(!t||!n||t.shape.length!==4||t.shape.length!==n.shape.length)return e.debug||h("invalid input tensor or tensor shapes do not match:",t.shape,n.shape),0;if(t.shape[0]!==1||n.shape[0]!==1||t.shape[3]!==3||n.shape[3]!==3)return e.debug||h("input tensors must be of shape [1, height, width, 3]:",t.shape,n.shape),0;o.input1=I.clone(t),o.input2=t.shape[1]!==n.shape[1]||t.shape[2]!==n.shape[2]?I.image.resizeBilinear(n,[t.shape[1],t.shape[2]]):I.clone(n),o.diff=I.sub(o.input1,o.input2),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return I.dispose([o.input1,o.input2,o.diff,o.squared,o.sum]),s}var z2,S2,j2,E2=class{constructor(){w(this,"browser");w(this,"node");w(this,"worker");w(this,"platform","");w(this,"agent","");w(this,"backends",[]);w(this,"initial");w(this,"filter");w(this,"tfjs");w(this,"offscreen");w(this,"perfadd",!1);w(this,"tensorflow",{version:void 0,gpu:void 0});w(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});w(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});w(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});w(this,"cpu",{model:void 0,flags:[]});w(this,"kernels",[]);ue(this,z2,void 0);ue(this,S2,void 0);ue(this,j2,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:W0.version["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",n=t.match(/\(([^()]+)\)/g);if(n!=null&&n[0]){let o=n[0].match(/\(([^()]+)\)/g);this.platform=o!=null&&o[0]?o[0].replace(/\(|\)/g,""):"",this.agent=t.replace(n[0],""),this.platform[1]&&(this.agent=this.agent.replace(n[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Y0(this,z2)}set Canvas(t){Re(this,z2,t),globalThis.Canvas=t}get Image(){return Y0(this,S2)}set Image(t){Re(this,S2,t),globalThis.Image=t}get ImageData(){return Y0(this,j2)}set ImageData(t){Re(this,j2,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(W0.engine().registryFactory);try{this.tensorflow={version:W0.backend().binding?W0.backend().binding.TF_Version:void 0,gpu:W0.backend().binding?W0.backend().binding.isUsingGpuDevice():void 0}}catch(o){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await W0.env().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await W0.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=Ae(100,100),n=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof n!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&n&&(this.webgl.version=n.getParameter(n.VERSION),this.webgl.vendor=n.getParameter(n.VENDOR),this.webgl.renderer=n.getParameter(n.RENDERER),this.webgl.shader=n.getParameter(n.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let o=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(o==null?void 0:o.requestAdapterInfo())}}catch(o){this.webgpu.supported=!1}try{this.kernels=W0.getKernelsForBackend(W0.getBackend()).map(o=>o.kernelName.toLowerCase())}catch(o){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};z2=new WeakMap,S2=new WeakMap,j2=new WeakMap;var R=new E2;var K2=class{constructor(){w(this,"config");w(this,"element");w(this,"stream");w(this,"devices",[]);w(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(n=>n.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});w(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let A=document.getElementById(t.element);if(A&&A instanceof HTMLVideoElement)this.element=A;else{this.config.debug&&h("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&h("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let n={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((r=this.config)==null?void 0:r.width)>0&&(n.video.width={ideal:this.config.width}),((s=this.config)==null?void 0:s.height)>0&&(n.video.height={ideal:this.config.height}),this.config.id&&(n.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&h("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&h("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&h("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(n)}catch(A){h("webcam",A);return}if(!this.stream){this.config.debug&&h("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(A=>{this.element?this.element.onloadeddata=()=>A(!0):A(!1)}),await this.element.play(),this.config.debug&&h("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});w(this,"pause",()=>{this.element&&this.element.pause()});w(this,"play",async()=>{this.element&&await this.element.play()});w(this,"stop",()=>{this.config.debug&&h("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var f2=G(H());var e5={};ze(e5,{"affectnet-mobilenet":()=>hr,age:()=>br,"anti-spoofing":()=>Qr,antispoof:()=>Ar,blazeface:()=>ar,"blazeface-back":()=>gr,"blazeface-front":()=>Tr,"blazepose-detector":()=>vr,"blazepose-full":()=>Rr,"blazepose-heavy":()=>Mr,"blazepose-lite":()=>Pr,centernet:()=>ir,default:()=>cs,efficientpose:()=>kr,"efficientpose-i-lite":()=>_r,"efficientpose-ii-lite":()=>$r,"efficientpose-iv":()=>es,emotion:()=>lr,faceboxes:()=>wr,facemesh:()=>cr,"facemesh-attention":()=>zr,"facemesh-attention-pinto":()=>Er,"facemesh-detection-full":()=>Sr,"facemesh-detection-short":()=>jr,faceres:()=>dr,"faceres-deep":()=>Ir,gear:()=>Or,"gear-e1":()=>Nr,"gear-e2":()=>Lr,gender:()=>Wr,"gender-ssrnet-imdb":()=>Cr,handdetect:()=>Dr,"handlandmark-full":()=>Fr,"handlandmark-lite":()=>xr,"handlandmark-sparse":()=>Br,handskeleton:()=>Hr,handtrack:()=>yr,"insightface-efficientnet-b0":()=>ts,"insightface-ghostnet-strides1":()=>ns,"insightface-ghostnet-strides2":()=>os,"insightface-mobilenet-emore":()=>rs,"insightface-mobilenet-swish":()=>ss,iris:()=>fr,liveness:()=>mr,meet:()=>Gr,mobileface:()=>Vr,mobilefacenet:()=>Zr,models:()=>pr,"movenet-lightning":()=>ur,"movenet-multipose":()=>Xr,"movenet-thunder":()=>qr,nanodet:()=>Ur,"nanodet-e":()=>As,"nanodet-g":()=>as,"nanodet-m":()=>is,"nanodet-t":()=>ls,posenet:()=>Yr,rvm:()=>Kr,selfie:()=>Jr});var Ar=853098,ar=538928,ir=4030290,lr=820516,cr=1477958,dr=6978814,xr=2023432,yr=2964837,fr=2599092,mr=592976,pr=0,ur=4650216,hr=6920630,br=161240,gr=538928,Tr=402048,vr=5928856,Rr=6339202,Mr=27502466,Pr=2726402,kr=5651240,wr=2013002,Er=2387598,zr=2382414,Sr=1026192,jr=201268,Ir=13957620,Nr=112438,Lr=112438,Or=1498916,Cr=161236,Wr=201808,Dr=3515612,Fr=5431368,Br=5286322,Hr=5502280,Gr=372228,Vr=2183192,Zr=5171976,Xr=9448838,qr=12477112,Ur=7574558,Yr=5032780,Kr=3739355,Jr=212886,Qr=853098,_r=2269064,$r=5651240,es=25643252,ts=13013224,ns=8093408,os=8049584,rs=6938536,ss=12168584,As=12319156,as=7574558,is=1887474,ls=5294216,cs={antispoof:Ar,blazeface:ar,centernet:ir,emotion:lr,facemesh:cr,faceres:dr,"handlandmark-lite":xr,handtrack:yr,iris:fr,liveness:mr,models:pr,"movenet-lightning":ur,"affectnet-mobilenet":hr,age:br,"blazeface-back":gr,"blazeface-front":Tr,"blazepose-detector":vr,"blazepose-full":Rr,"blazepose-heavy":Mr,"blazepose-lite":Pr,efficientpose:kr,faceboxes:wr,"facemesh-attention-pinto":Er,"facemesh-attention":zr,"facemesh-detection-full":Sr,"facemesh-detection-short":jr,"faceres-deep":Ir,"gear-e1":Nr,"gear-e2":Lr,gear:Or,"gender-ssrnet-imdb":Cr,gender:Wr,handdetect:Dr,"handlandmark-full":Fr,"handlandmark-sparse":Br,handskeleton:Hr,meet:Gr,mobileface:Vr,mobilefacenet:Zr,"movenet-multipose":Xr,"movenet-thunder":qr,nanodet:Ur,posenet:Yr,rvm:Kr,selfie:Jr,"anti-spoofing":Qr,"efficientpose-i-lite":_r,"efficientpose-ii-lite":$r,"efficientpose-iv":es,"insightface-efficientnet-b0":ts,"insightface-ghostnet-strides1":ns,"insightface-ghostnet-strides2":os,"insightface-mobilenet-emore":rs,"insightface-mobilenet-swish":ss,"nanodet-e":As,"nanodet-g":as,"nanodet-m":is,"nanodet-t":ls};var D0={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},I0={};async function ds(e,t){return D0.debug&&h("load model fetch:",e,t),fetch(e,t)}function Z1(e){D0.cacheModels=e.cacheModels,D0.verbose=e.debug,D0.modelBasePath=e.modelBasePath}async function L(e){var c,x,i,f;let t=L1(D0.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let n=t.includes("/")?t.split("/"):t.split("\\"),o=n[n.length-1].replace(".json",""),r="indexeddb://"+o;I0[o]={name:o,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:e5[o],inCache:!1,url:""},D0.cacheSupported=typeof indexedDB!="undefined";let s={};try{s=D0.cacheSupported&&D0.cacheModels?await f2.io.listModels():{}}catch(d){D0.cacheSupported=!1}I0[o].inCache=D0.cacheSupported&&D0.cacheModels&&Object.keys(s).includes(r),I0[o].url=I0[o].inCache?r:t;let A=typeof fetch=="undefined"?{}:{fetchFunc:(d,m)=>ds(d,m)},a=new f2.GraphModel(I0[o].url,A),l=!1;try{a.findIOHandler(),D0.debug&&h("model load handler:",a.handler)}catch(d){h("error finding model i/o handler:",t,d)}try{let d=await((c=a.handler)==null?void 0:c.load())||null;I0[o].sizeFromManifest=((x=d==null?void 0:d.weightData)==null?void 0:x.byteLength)||0,d?a.loadSync(d):a=await f2.loadGraphModel(I0[o].inCache?r:t,A),I0[o].sizeLoadedWeights=((f=(i=a.artifacts)==null?void 0:i.weightData)==null?void 0:f.byteLength)||0,D0.verbose&&h("load:",{model:o,url:a.modelUrl,bytes:I0[o].sizeLoadedWeights}),l=!0}catch(d){h("error loading model:",t,d)}if(l&&D0.cacheModels&&D0.cacheSupported&&!I0[o].inCache)try{let d=await a.save(r);D0.debug&&h("model saved:",r,d)}catch(d){h("error saving model:",t,d)}return a}var t5="3.0.6";var S=G(H());var u0=G(H());var o0={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function fs(){let e=o0.gl;e&&(o0.extensions=e.getSupportedExtensions())}function X1(e){var t;if(e.config.backend==="humangl"&&(o0.name in u0.engine().registry&&!((t=o0==null?void 0:o0.gl)!=null&&t.getParameter(o0.gl.VERSION))&&(h("humangl error: backend invalid context"),e.models.reset()),!u0.findBackend(o0.name))){try{o0.canvas=Ae(100,100)}catch(r){h("humangl error: cannot create canvas:",r);return}try{if(o0.gl=o0.canvas.getContext("webgl2",o0.webGLattr),!o0.gl){h("humangl error: cannot get webgl context");return}if(!o0.gl.getParameter(o0.gl.VERSION).includes("2.0")){h("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}o0.canvas&&(o0.canvas.addEventListener("webglcontextlost",s=>{throw h("humangl error:",s.type),h("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),o0.canvas.addEventListener("webglcontextrestored",s=>{h("humangl error: context restored:",s)}),o0.canvas.addEventListener("webglcontextcreationerror",s=>{h("humangl error: context create:",s)}))}catch(r){h("humangl error: cannot get webgl context:",r);return}try{u0.setWebGLContext(2,o0.gl)}catch(r){h("humangl error: cannot set webgl context:",r);return}try{let r=new u0.GPGPUContext(o0.gl);u0.registerBackend(o0.name,()=>new u0.MathBackendWebGL(r),o0.priority)}catch(r){h("humangl error: cannot register webgl backend:",r);return}try{u0.getKernelsForBackend("webgl").forEach(s=>{let A={...s,backendName:o0.name};u0.registerKernel(A)})}catch(r){h("humangl error: cannot update webgl backend registration:",r);return}try{u0.env().flagRegistry.WEBGL_VERSION&&u0.env().set("WEBGL_VERSION",2)}catch(r){h("humangl error: cannot set WebGL backend flags:",r);return}fs();let n=u0.backend(),o=typeof n.gpgpu!="undefined"?n.getGPGPUContext().gl:null;o?e.config.debug&&h("humangl backend registered:",{webgl:o.getParameter(o.VERSION),renderer:o.getParameter(o.RENDERER)}):h("humangl error: no current gl context:",o,o0.gl)}}var Se=G(H()),C={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function q1(){C.tf255=Se.scalar(255,"float32"),C.tf1=Se.scalar(1,"float32"),C.tf2=Se.scalar(2,"float32"),C.tf05=Se.scalar(.5,"float32"),C.tf127=Se.scalar(127.5,"float32"),C.rgb=Se.tensor1d([.2989,.587,.114],"float32")}async function us(){var e;return await R.updateBackend(),(e=R.tensorflow)!=null&&e.version?"tensorflow":R.webgpu.supported&&R.webgpu.backend?"webgpu":R.webgl.supported&&R.webgl.backend?"webgl":R.wasm.supported&&R.wasm.backend?"wasm":"cpu"}function hs(e){let t=[];if(!R.kernels.includes("mod")){let n={kernelName:"Mod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.sub(o.inputs.a,S.mul(S.div(o.inputs.a,o.inputs.b),o.inputs.b)))};S.registerKernel(n),R.kernels.push("mod"),t.push("mod")}if(!R.kernels.includes("floormod")){let n={kernelName:"FloorMod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.add(S.mul(S.floorDiv(o.inputs.a,o.inputs.b),o.inputs.b),S.mod(o.inputs.a,o.inputs.b)))};S.registerKernel(n),R.kernels.push("floormod"),t.push("floormod")}if(!R.kernels.includes("rotatewithoffset")&&e.softwareKernels){let n={kernelName:"RotateWithOffset",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>{let r=S.getBackend();S.setBackend("cpu");let s=S.image.rotateWithOffset(o.inputs.image,o.attrs.radians,o.attrs.fillValue,o.attrs.center);return S.setBackend(r),s})};S.registerKernel(n),R.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&h("registered kernels:",t)}var U1={};async function I2(e,t=!1){var n,o;if(e.state="backend",((n=e.config.backend)==null?void 0:n.length)===0&&(e.config.backend=await us()),t||R.initial||e.config.backend&&e.config.backend.length>0&&S.getBackend()!==e.config.backend){let r=v();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&h("running inside web worker"),typeof navigator!="undefined"&&((o=navigator==null?void 0:navigator.userAgent)!=null&&o.toLowerCase().includes("electron"))&&e.config.debug&&h("running inside electron");let s=Object.keys(S.engine().registryFactory);if(e.config.backend==="humangl"&&!s.includes("humangl")&&(X1(e),s=Object.keys(S.engine().registryFactory)),e.config.debug&&h("available backends:",s),R.browser&&!R.node&&e.config.backend==="tensorflow"&&s.includes("webgl")&&(e.config.debug&&h("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),R.node&&!R.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&s.includes("tensorflow")&&(e.config.debug&&h(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),R.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")h("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let A=await navigator.gpu.requestAdapter();if(e.config.debug&&h("enumerated webgpu adapter:",A),!A)h("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let a="requestAdapterInfo"in A?await A.requestAdapterInfo():void 0;h("webgpu adapter info:",a)}}if(s.includes(e.config.backend)||(h(`error: backend ${e.config.backend} not found in registry`),e.config.backend=R.node?"tensorflow":"webgl",e.config.debug&&h(`override: setting backend ${e.config.backend}`)),e.config.debug&&h("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(S.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&S.env().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&h("wasm path:",e.config.wasmPath),typeof S.setWasmPaths!="undefined")S.setWasmPaths(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let A=!1,a=!1;try{A=await S.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),a=await S.env().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&h(`wasm execution: ${a?"simd":"no simd"} ${A?"multithreaded":"singlethreaded"}`),e.config.debug&&!a&&h("warning: wasm simd support is not enabled")}catch(l){h("wasm detection failed")}}try{await S.setBackend(e.config.backend),await S.ready()}catch(A){return h("error: cannot set backend:",e.config.backend,A),!1}e.config.debug&&(U1=JSON.parse(JSON.stringify(S.env().flags)))}if((S.getBackend()==="humangl"||S.getBackend()==="webgl")&&(S.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&S.env().set("WEBGL_USE_SHAPES_UNIFORMS",!0),S.env().flagRegistry.WEBGL_EXP_CONV&&S.env().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(h("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),S.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),S.getBackend(),e.config.debug){let s=S.env().flags,A={};for(let a of Object.keys(s))U1[a]!==s[a]&&(A[a]=s[a]);e.config.debug&&Object.keys(A).length>0&&h("backend:",S.getBackend(),"flags:",A)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&h("flags:",e.config.flags);for(let[s,A]of Object.entries(e.config.flags))S.env().set(s,A)}S.enableProdMode(),q1(),e.performance.initBackend=Math.trunc(v()-r),e.config.backend=S.getBackend(),await R.updateBackend(),hs(e.config)}return!0}function J2(e,t){for(let n of e){let o={kernelName:n,backendName:t.backend,kernelFunc:r=>{var s;return t.debug&&h("kernelFunc",n,t.backend,r),(s=r==null?void 0:r.inputs)==null?void 0:s.info}};S.registerKernel(o)}R.kernels=S.getKernelsForBackend(S.getBackend()).map(n=>n.kernelName.toLowerCase())}var nt={};ze(nt,{all:()=>Ks,body:()=>_2,canvas:()=>Ys,face:()=>Q2,gesture:()=>tt,hand:()=>$2,init:()=>i5,object:()=>et,options:()=>f0,person:()=>Us});var oe=e=>{if(!e)h("draw error: invalid canvas");else if(!e.getContext)h("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)h("draw error: cannot get canvas context");else return t}return null},Je=e=>Math.round(e*180/Math.PI),Y=(e,t,n)=>e.replace(t,typeof n=="number"?n.toFixed(1):n),Qe=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let n=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${n[0]}, ${n[1]}, ${n[2]}, ${t.alpha})`};function re(e,t,n,o,r){let s=t.replace(/\[.*\]/g,"").split(` -`).map(a=>a.trim()),A=Math.max(0,n);for(let a=s.length-1;a>=0;a--){let l=a*r.lineHeight+o;r.shadowColor&&r.shadowColor!==""&&(e.fillStyle=r.shadowColor,e.fillText(s[a],A+5,l+16)),e.fillStyle=r.labelColor,e.fillText(s[a],A+4,l+15)}}function he(e,t,n,o,r){e.fillStyle=Qe(o,r),e.beginPath(),e.arc(t,n,r.pointSize,0,2*Math.PI),e.fill()}function be(e,t,n,o,r,s){if(e.beginPath(),e.lineWidth=s.lineWidth,s.useCurves){let A=(t+t+o)/2,a=(n+n+r)/2;e.ellipse(A,a,o/2,r/2,0,0,2*Math.PI)}else e.moveTo(t+s.roundRect,n),e.lineTo(t+o-s.roundRect,n),e.quadraticCurveTo(t+o,n,t+o,n+s.roundRect),e.lineTo(t+o,n+r-s.roundRect),e.quadraticCurveTo(t+o,n+r,t+o-s.roundRect,n+r),e.lineTo(t+s.roundRect,n+r),e.quadraticCurveTo(t,n+r,t,n+r-s.roundRect),e.lineTo(t,n+s.roundRect),e.quadraticCurveTo(t,n,t+s.roundRect,n),e.closePath();e.stroke()}function n5(e,t,n){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let o of t)e.strokeStyle=Qe(o[2]||0,n),e.lineTo(Math.trunc(o[0]),Math.trunc(o[1]));e.stroke(),n.fillPolygons&&(e.closePath(),e.fill())}}function K1(e,t,n){if(!(t.length<2)){if(e.lineWidth=n.lineWidth,!n.useCurves||t.length<=2){n5(e,t,n);return}e.moveTo(t[0][0],t[0][1]);for(let o=0;oN2[e]),Ga=gs.map(e=>N2[e]),Va=Ts.map(e=>N2[e]);function je(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var vs=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Rs=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Ms=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ps=[[474,475],[475,476],[476,477],[477,474]],ks=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ws=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Es=[[469,470],[470,471],[471,472],[472,469]],zs=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],Za={lips:je(vs),leftEye:je(Rs),leftEyebrow:je(Ms),leftIris:je(Ps),rightEye:je(ks),rightEyebrow:je(ws),rightIris:je(Es),faceOval:je(zs)};var Ss=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],js=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Is=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ns=[[474,475],[475,476],[476,477],[477,474]],Ls=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Os=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Cs=[[469,470],[470,471],[471,472],[472,469]],Ws=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Ie(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Ds={lips:Ie(Ss),leftEye:Ie(js),leftEyebrow:Ie(Is),leftIris:Ie(Ns),rightEye:Ie(Ls),rightEyebrow:Ie(Os),rightIris:Ie(Cs),faceOval:Ie(Ws)},Fs=Object.entries(Ds).map(([e,t])=>t.map(n=>[n,e])).flat(),Xa=new Map(Fs),L2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],e2=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],t2=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var q;function Bs(e,t){var o,r,s,A,a,l,c,x,i;if(!q.drawLabels||((o=q.faceLabels)==null?void 0:o.length)===0)return;let n=q.faceLabels.slice();if(n=Y(n,"[id]",e.id.toFixed(0)),e.score&&(n=Y(n,"[score]",100*e.score)),e.gender&&(n=Y(n,"[gender]",e.gender)),e.genderScore&&(n=Y(n,"[genderScore]",100*e.genderScore)),e.age&&(n=Y(n,"[age]",e.age)),e.distance&&(n=Y(n,"[distance]",100*e.distance)),e.real&&(n=Y(n,"[real]",100*e.real)),e.live&&(n=Y(n,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let f=e.emotion.map(d=>`${Math.trunc(100*d.score)}% ${d.emotion}`);f.length>3&&(f.length=3),n=Y(n,"[emotions]",f.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(n=Y(n,"[roll]",Je(e.rotation.angle.roll))),(a=(A=e.rotation)==null?void 0:A.angle)!=null&&a.yaw&&(n=Y(n,"[yaw]",Je(e.rotation.angle.yaw))),(c=(l=e.rotation)==null?void 0:l.angle)!=null&&c.pitch&&(n=Y(n,"[pitch]",Je(e.rotation.angle.pitch))),(i=(x=e.rotation)==null?void 0:x.gaze)!=null&&i.bearing&&(n=Y(n,"[gaze]",Je(e.rotation.gaze.bearing))),re(t,n,e.box[0],e.box[1],q)}function Hs(e,t){var n,o,r,s;if((n=e.annotations)!=null&&n.leftEyeIris&&((o=e.annotations)!=null&&o.leftEyeIris[0])){t.strokeStyle=q.useDepth?"rgba(255, 200, 255, 0.3)":q.color,t.beginPath();let A=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,a=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),q.fillPolygons&&(t.fillStyle=q.useDepth?"rgba(255, 255, 200, 0.3)":q.color,t.fill())}if((r=e.annotations)!=null&&r.rightEyeIris&&((s=e.annotations)!=null&&s.rightEyeIris[0])){t.strokeStyle=q.useDepth?"rgba(255, 200, 255, 0.3)":q.color,t.beginPath();let A=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,a=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),q.fillPolygons&&(t.fillStyle=q.useDepth?"rgba(255, 255, 200, 0.3)":q.color,t.fill())}}function Gs(e,t){var n;if(q.drawGaze&&((n=e.rotation)!=null&&n.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let o=e.box[0]+e.box[2]/2-e.box[3]*Je(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*Je(e.rotation.angle.pitch)/90,s=new Path2D(` - M ${e.box[0]+e.box[2]/2} ${e.box[1]} +`; + +// src/image/imagefx.ts +var collect = (source, prefix, collection) => { + const r = new RegExp("\\b" + prefix + " \\w+ (\\w+)", "ig"); + source.replace(r, (match2, name) => { + collection[name] = 0; + return match2; + }); +}; +var GLProgram = class { + constructor(gl, vertexSource, fragmentSource) { + __publicField(this, "uniform", {}); + __publicField(this, "attribute", {}); + __publicField(this, "gl"); + __publicField(this, "id"); + __publicField(this, "compile", (source, type) => { + const shader = this.gl.createShader(type); + if (!shader) { + log("filter: could not create shader"); + return null; + } + this.gl.shaderSource(shader, source); + this.gl.compileShader(shader); + if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) { + log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || "unknown"}`); + return null; + } + return shader; + }); + this.gl = gl; + const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER); + const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER); + this.id = this.gl.createProgram(); + if (!vertexShader || !fragmentShader) + return; + if (!this.id) { + log("filter: could not create webgl program"); + return; + } + this.gl.attachShader(this.id, vertexShader); + this.gl.attachShader(this.id, fragmentShader); + this.gl.linkProgram(this.id); + if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) { + log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || "unknown"}`); + return; + } + this.gl.useProgram(this.id); + collect(vertexSource, "attribute", this.attribute); + for (const a in this.attribute) + this.attribute[a] = this.gl.getAttribLocation(this.id, a); + collect(vertexSource, "uniform", this.uniform); + collect(fragmentSource, "uniform", this.uniform); + for (const u in this.uniform) + this.uniform[u] = this.gl.getUniformLocation(this.id, u); + } +}; +function GLImageFilter() { + let drawCount = 0; + let sourceTexture = null; + let lastInChain = false; + let currentFramebufferIndex = -1; + let tempFramebuffers = [null, null]; + let filterChain = []; + let vertexBuffer = null; + let currentProgram = null; + const fxcanvas = canvas(100, 100); + const shaderProgramCache = {}; + const DRAW = { INTERMEDIATE: 1 }; + const gl = fxcanvas.getContext("webgl"); + if (!gl) { + log("filter: cannot get webgl context"); + return; + } + this.gl = gl; + function resize(width, height) { + if (width === fxcanvas.width && height === fxcanvas.height) + return; + fxcanvas.width = width; + fxcanvas.height = height; + if (!vertexBuffer) { + const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); + vertexBuffer = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer); + gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW); + gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true); + } + gl.viewport(0, 0, fxcanvas.width, fxcanvas.height); + tempFramebuffers = [null, null]; + } + function createFramebufferTexture(width, height) { + const fbo = gl.createFramebuffer(); + gl.bindFramebuffer(gl.FRAMEBUFFER, fbo); + const renderbuffer = gl.createRenderbuffer(); + gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer); + const texture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, texture); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0); + gl.bindTexture(gl.TEXTURE_2D, null); + gl.bindFramebuffer(gl.FRAMEBUFFER, null); + return { fbo, texture }; + } + function getTempFramebuffer(index2) { + tempFramebuffers[index2] = tempFramebuffers[index2] || createFramebufferTexture(fxcanvas.width, fxcanvas.height); + return tempFramebuffers[index2]; + } + function draw(flags = 0) { + if (!currentProgram) + return; + let source = null; + let target = null; + let flipY = false; + if (drawCount === 0) + source = sourceTexture; + else + source = getTempFramebuffer(currentFramebufferIndex).texture || null; + drawCount++; + if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { + target = null; + flipY = drawCount % 2 === 0; + } else { + currentFramebufferIndex = (currentFramebufferIndex + 1) % 2; + target = getTempFramebuffer(currentFramebufferIndex).fbo || null; + } + gl.bindTexture(gl.TEXTURE_2D, source); + gl.bindFramebuffer(gl.FRAMEBUFFER, target); + gl.uniform1f(currentProgram.uniform["flipY"], flipY ? -1 : 1); + gl.drawArrays(gl.TRIANGLES, 0, 6); + } + function compileShader(fragmentSource) { + if (shaderProgramCache[fragmentSource]) { + currentProgram = shaderProgramCache[fragmentSource]; + gl.useProgram((currentProgram ? currentProgram.id : null) || null); + return currentProgram; + } + currentProgram = new GLProgram(gl, vertexIdentity, fragmentSource); + if (!currentProgram) { + log("filter: could not get webgl program"); + return null; + } + const floatSize = Float32Array.BYTES_PER_ELEMENT; + const vertSize = 4 * floatSize; + gl.enableVertexAttribArray(currentProgram.attribute["pos"]); + gl.vertexAttribPointer(currentProgram.attribute["pos"], 2, gl.FLOAT, false, vertSize, 0 * floatSize); + gl.enableVertexAttribArray(currentProgram.attribute["uv"]); + gl.vertexAttribPointer(currentProgram.attribute["uv"], 2, gl.FLOAT, false, vertSize, 2 * floatSize); + shaderProgramCache[fragmentSource] = currentProgram; + return currentProgram; + } + const filter = { + colorMatrix: (matrix) => { + const m = new Float32Array(matrix); + m[4] /= 255; + m[9] /= 255; + m[14] /= 255; + m[19] /= 255; + const shader = m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0 ? colorMatrixWithoutAlpha : colorMatrixWithAlpha; + const program = compileShader(shader); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + draw(); + }, + brightness: (brightness) => { + const b = (brightness || 0) + 1; + filter.colorMatrix([ + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + saturation: (amount) => { + const x = (amount || 0) * 2 / 3 + 1; + const y = (x - 1) * -0.5; + filter.colorMatrix([ + x, + y, + y, + 0, + 0, + y, + x, + y, + 0, + 0, + y, + y, + x, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturate: () => { + filter.saturation(-1); + }, + contrast: (amount) => { + const v = (amount || 0) + 1; + const o = -128 * (v - 1); + filter.colorMatrix([ + v, + 0, + 0, + 0, + o, + 0, + v, + 0, + 0, + o, + 0, + 0, + v, + 0, + o, + 0, + 0, + 0, + 1, + 0 + ]); + }, + negative: () => { + filter.contrast(-2); + }, + hue: (rotation) => { + rotation = (rotation || 0) / 180 * Math.PI; + const cos = Math.cos(rotation); + const sin = Math.sin(rotation); + const lumR = 0.213; + const lumG = 0.715; + const lumB = 0.072; + filter.colorMatrix([ + lumR + cos * (1 - lumR) + sin * -lumR, + lumG + cos * -lumG + sin * -lumG, + lumB + cos * -lumB + sin * (1 - lumB), + 0, + 0, + lumR + cos * -lumR + sin * 0.143, + lumG + cos * (1 - lumG) + sin * 0.14, + lumB + cos * -lumB + sin * -0.283, + 0, + 0, + lumR + cos * -lumR + sin * -(1 - lumR), + lumG + cos * -lumG + sin * lumG, + lumB + cos * (1 - lumB) + sin * lumB, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturateLuminance: () => { + filter.colorMatrix([ + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0, + 0, + 0, + 1, + 0 + ]); + }, + sepia: () => { + filter.colorMatrix([ + 0.393, + 0.7689999, + 0.18899999, + 0, + 0, + 0.349, + 0.6859999, + 0.16799999, + 0, + 0, + 0.272, + 0.5339999, + 0.13099999, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + brownie: () => { + filter.colorMatrix([ + 0.5997023498159715, + 0.34553243048391263, + -0.2708298674538042, + 0, + 47.43192855600873, + -0.037703249837783157, + 0.8609577587992641, + 0.15059552388459913, + 0, + -36.96841498319127, + 0.24113635128153335, + -0.07441037908422492, + 0.44972182064877153, + 0, + -7.562075277591283, + 0, + 0, + 0, + 1, + 0 + ]); + }, + vintagePinhole: () => { + filter.colorMatrix([ + 0.6279345635605994, + 0.3202183420819367, + -0.03965408211312453, + 0, + 9.651285835294123, + 0.02578397704808868, + 0.6441188644374771, + 0.03259127616149294, + 0, + 7.462829176470591, + 0.0466055556782719, + -0.0851232987247891, + 0.5241648018700465, + 0, + 5.159190588235296, + 0, + 0, + 0, + 1, + 0 + ]); + }, + kodachrome: () => { + filter.colorMatrix([ + 1.1285582396593525, + -0.3967382283601348, + -0.03992559172921793, + 0, + 63.72958762196502, + -0.16404339962244616, + 1.0835251566291304, + -0.05498805115633132, + 0, + 24.732407896706203, + -0.16786010706155763, + -0.5603416277695248, + 1.6014850761964943, + 0, + 35.62982807460946, + 0, + 0, + 0, + 1, + 0 + ]); + }, + technicolor: () => { + filter.colorMatrix([ + 1.9125277891456083, + -0.8545344976951645, + -0.09155508482755585, + 0, + 11.793603434377337, + -0.3087833385928097, + 1.7658908555458428, + -0.10601743074722245, + 0, + -70.35205161461398, + -0.231103377548616, + -0.7501899197440212, + 1.847597816108189, + 0, + 30.950940869491138, + 0, + 0, + 0, + 1, + 0 + ]); + }, + polaroid: () => { + filter.colorMatrix([ + 1.438, + -0.062, + -0.062, + 0, + 0, + -0.122, + 1.378, + -0.122, + 0, + 0, + -0.016, + -0.016, + 1.483, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + shiftToBGR: () => { + filter.colorMatrix([ + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + convolution: (matrix) => { + const m = new Float32Array(matrix); + const pixelSizeX = 1 / fxcanvas.width; + const pixelSizeY = 1 / fxcanvas.height; + const program = compileShader(convolution); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + gl.uniform2f(program.uniform["px"], pixelSizeX, pixelSizeY); + draw(); + }, + detectEdges: () => { + filter.convolution.call(this, [ + 0, + 1, + 0, + 1, + -4, + 1, + 0, + 1, + 0 + ]); + }, + sobelX: () => { + filter.convolution.call(this, [ + -1, + 0, + 1, + -2, + 0, + 2, + -1, + 0, + 1 + ]); + }, + sobelY: () => { + filter.convolution.call(this, [ + -1, + -2, + -1, + 0, + 0, + 0, + 1, + 2, + 1 + ]); + }, + sharpen: (amount) => { + const a = amount || 1; + filter.convolution.call(this, [ + 0, + -1 * a, + 0, + -1 * a, + 1 + 4 * a, + -1 * a, + 0, + -1 * a, + 0 + ]); + }, + emboss: (size2) => { + const s = size2 || 1; + filter.convolution.call(this, [ + -2 * s, + -1 * s, + 0, + -1 * s, + 1, + 1 * s, + 0, + 1 * s, + 2 * s + ]); + }, + blur: (size2) => { + const blurSizeX = size2 / 7 / fxcanvas.width; + const blurSizeY = size2 / 7 / fxcanvas.height; + const program = compileShader(blur); + if (!program) + return; + gl.uniform2f(program.uniform["px"], 0, blurSizeY); + draw(DRAW.INTERMEDIATE); + gl.uniform2f(program.uniform["px"], blurSizeX, 0); + draw(); + }, + pixelate: (size2) => { + const blurSizeX = size2 / fxcanvas.width; + const blurSizeY = size2 / fxcanvas.height; + const program = compileShader(pixelate); + if (!program) + return; + gl.uniform2f(program.uniform["size"], blurSizeX, blurSizeY); + draw(); + } + }; + this.add = function(name) { + const args = Array.prototype.slice.call(arguments, 1); + const func = filter[name]; + filterChain.push({ func, args }); + }; + this.reset = function() { + filterChain = []; + }; + this.get = function() { + return filterChain; + }; + this.apply = function(image28) { + resize(image28.width, image28.height); + drawCount = 0; + if (!sourceTexture) + sourceTexture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, sourceTexture); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image28); + for (let i = 0; i < filterChain.length; i++) { + lastInChain = i === filterChain.length - 1; + const f = filterChain[i]; + f.func.apply(this, f.args || []); + } + return fxcanvas; + }; + this.draw = function(image28) { + this.add("brightness", 0); + return this.apply(image28); + }; +} + +// src/image/enhance.ts +var tf = __toESM(require_tfjs_esm()); +async function histogramEqualization(inputImage) { + const squeeze14 = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage; + const rgb3 = tf.split(squeeze14, 3, 2); + const min2 = [tf.min(rgb3[0]), tf.min(rgb3[1]), tf.min(rgb3[2])]; + const max5 = [tf.max(rgb3[0]), tf.max(rgb3[1]), tf.max(rgb3[2])]; + const absMax = await Promise.all(max5.map((channel) => channel.data())); + const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]); + const maxRange = maxValue > 1 ? 255 : 1; + const factor = maxRange / maxValue; + let final; + if (factor > 1) { + const sub11 = [tf.sub(rgb3[0], min2[0]), tf.sub(rgb3[1], min2[1]), tf.sub(rgb3[2], min2[2])]; + const range = [tf.sub(max5[0], min2[0]), tf.sub(max5[1], min2[1]), tf.sub(max5[2], min2[2])]; + const enh = [tf.mul(sub11[0], factor), tf.mul(sub11[1], factor), tf.mul(sub11[2], factor)]; + const stack5 = tf.stack([enh[0], enh[1], enh[2]], 2); + final = tf.reshape(stack5, [1, squeeze14.shape[0] || 0, squeeze14.shape[1] || 0, 3]); + tf.dispose([...sub11, ...range, ...enh, stack5]); + } else { + final = tf.expandDims(squeeze14, 0); + } + tf.dispose([...rgb3, ...min2, ...max5, rgb3, squeeze14, inputImage]); + return final; +} + +// src/image/image.ts +var maxSize = 3840; +var inCanvas = null; +var outCanvas = null; +var tmpCanvas = null; +var fx; +var last = { + inputSum: 0, + cacheDiff: 1, + sumMethod: 0, + inputTensor: void 0 +}; +function reset() { + last.inputSum = 0; + last.cacheDiff = 1; + last.sumMethod = 0; + last.inputTensor = void 0; +} +function canvas(width, height) { + let c; + if (env.browser) { + if (env.worker) { + if (typeof OffscreenCanvas === "undefined") + throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported"); + c = new OffscreenCanvas(width, height); + } else { + if (typeof document !== "undefined") { + c = document.createElement("canvas"); + c.width = width; + c.height = height; + } else if (typeof navigator !== "undefined" && navigator.product === "ReactNative") { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + else + throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed"); + } else { + throw new Error("canvas error: attempted to run in browser but DOM is not defined"); + } + } + } else { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + } + return c; +} +function copy(input, output) { + const outputCanvas = output || canvas(input.width, input.height); + const ctx = outputCanvas.getContext("2d"); + ctx.drawImage(input, 0, 0); + return outputCanvas; +} +async function process2(input, config3, getTensor = true) { + var _a, _b, _c; + if (!input) { + if (config3.debug) + log("input error: input is missing"); + return { tensor: null, canvas: null }; + } + if (!(input instanceof tf2.Tensor) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { + throw new Error("input error: type not recognized"); + } + if (input instanceof tf2.Tensor) { + let tensor7 = null; + if (input["isDisposedInternal"]) + throw new Error("input error: attempted to use tensor but it is disposed"); + if (!input.shape) + throw new Error("input error: attempted to use tensor without a shape"); + if (input.shape.length === 3) { + if (input.shape[2] === 3) { + tensor7 = tf2.expandDims(input, 0); + } else if (input.shape[2] === 4) { + const rgb3 = tf2.slice3d(input, [0, 0, 0], [-1, -1, 3]); + tensor7 = tf2.expandDims(rgb3, 0); + tf2.dispose(rgb3); + } + } else if (input.shape.length === 4) { + if (input.shape[3] === 3) { + tensor7 = tf2.clone(input); + } else if (input.shape[3] === 4) { + tensor7 = tf2.slice4d(input, [0, 0, 0, 0], [-1, -1, -1, 3]); + } + } + if (tensor7 == null || tensor7.shape.length !== 4 || tensor7.shape[0] !== 1 || tensor7.shape[3] !== 3) + throw new Error(`input error: attempted to use tensor with unrecognized shape: ${input.shape.toString()}`); + if (tensor7.dtype === "int32") { + const cast8 = tf2.cast(tensor7, "float32"); + tf2.dispose(tensor7); + tensor7 = cast8; + } + return { tensor: tensor7, canvas: config3.filter.return ? outCanvas : null }; + } + if (typeof input["readyState"] !== "undefined" && input.readyState <= 2) { + if (config3.debug) + log("input stream is not ready"); + return { tensor: null, canvas: inCanvas }; + } + const originalWidth = input["naturalWidth"] || input["videoWidth"] || input["width"] || input["shape"] && input["shape"][1] > 0; + const originalHeight = input["naturalHeight"] || input["videoHeight"] || input["height"] || input["shape"] && input["shape"][2] > 0; + if (!originalWidth || !originalHeight) { + if (config3.debug) + log("cannot determine input dimensions"); + return { tensor: null, canvas: inCanvas }; + } + let targetWidth = originalWidth; + let targetHeight = originalHeight; + if (targetWidth > maxSize) { + targetWidth = maxSize; + targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth); + } + if (targetHeight > maxSize) { + targetHeight = maxSize; + targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight); + } + if ((((_a = config3.filter) == null ? void 0 : _a.width) || 0) > 0) + targetWidth = config3.filter.width; + else if ((((_b = config3.filter) == null ? void 0 : _b.height) || 0) > 0) + targetWidth = originalWidth * ((config3.filter.height || 0) / originalHeight); + if ((config3.filter.height || 0) > 0) + targetHeight = config3.filter.height; + else if ((config3.filter.width || 0) > 0) + targetHeight = originalHeight * ((config3.filter.width || 0) / originalWidth); + if (!targetWidth || !targetHeight) + throw new Error("input error: cannot determine dimension"); + if (!inCanvas || inCanvas.width !== targetWidth || inCanvas.height !== targetHeight) + inCanvas = canvas(targetWidth, targetHeight); + const inCtx = inCanvas.getContext("2d"); + if (typeof ImageData !== "undefined" && input instanceof ImageData) { + inCtx.putImageData(input, 0, 0); + } else { + if (config3.filter.flip && typeof inCtx.translate !== "undefined") { + inCtx.translate(originalWidth, 0); + inCtx.scale(-1, 1); + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + inCtx.setTransform(1, 0, 0, 1, 0, 0); + } else { + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + } + } + if (!outCanvas || inCanvas.width !== outCanvas.width || inCanvas.height !== outCanvas.height) + outCanvas = canvas(inCanvas.width, inCanvas.height); + if (config3.filter.enabled && env.webgl.supported) { + if (!fx) + fx = env.browser ? new GLImageFilter() : null; + env.filter = !!fx; + if (!(fx == null ? void 0 : fx.add)) { + if (config3.debug) + log("input process error: cannot initialize filters"); + env.webgl.supported = false; + config3.filter.enabled = false; + copy(inCanvas, outCanvas); + } else { + fx.reset(); + if (config3.filter.brightness !== 0) + fx.add("brightness", config3.filter.brightness); + if (config3.filter.contrast !== 0) + fx.add("contrast", config3.filter.contrast); + if (config3.filter.sharpness !== 0) + fx.add("sharpen", config3.filter.sharpness); + if (config3.filter.blur !== 0) + fx.add("blur", config3.filter.blur); + if (config3.filter.saturation !== 0) + fx.add("saturation", config3.filter.saturation); + if (config3.filter.hue !== 0) + fx.add("hue", config3.filter.hue); + if (config3.filter.negative) + fx.add("negative"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.vintage) + fx.add("brownie"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.kodachrome) + fx.add("kodachrome"); + if (config3.filter.technicolor) + fx.add("technicolor"); + if (config3.filter.polaroid) + fx.add("polaroid"); + if (config3.filter.pixelate !== 0) + fx.add("pixelate", config3.filter.pixelate); + if (((_c = fx.get()) == null ? void 0 : _c.length) > 1) + outCanvas = fx.apply(inCanvas); + else + outCanvas = fx.draw(inCanvas); + } + } else { + copy(inCanvas, outCanvas); + if (fx) + fx = null; + env.filter = !!fx; + } + if (!getTensor) + return { tensor: null, canvas: outCanvas }; + if (!outCanvas) + throw new Error("canvas error: cannot create output"); + let pixels; + let depth = 3; + if (typeof ImageData !== "undefined" && input instanceof ImageData || input.data && input.width && input.height) { + if (env.browser && tf2.browser) { + pixels = tf2.browser ? tf2.browser.fromPixels(input) : null; + } else { + depth = input.data.length / input.height / input.width; + const arr = new Uint8Array(input.data.buffer); + pixels = tf2.tensor(arr, [input.height, input.width, depth], "int32"); + } + } else { + if (!tmpCanvas || outCanvas.width !== tmpCanvas.width || outCanvas.height !== tmpCanvas.height) + tmpCanvas = canvas(outCanvas.width, outCanvas.height); + if (tf2.browser && env.browser) { + if (config3.backend === "webgl" || config3.backend === "humangl" || config3.backend === "webgpu") { + pixels = tf2.browser.fromPixels(outCanvas); + } else { + tmpCanvas = copy(outCanvas); + pixels = tf2.browser.fromPixels(tmpCanvas); + } + } else { + const tempCanvas = copy(outCanvas); + const tempCtx = tempCanvas.getContext("2d"); + const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight); + depth = tempData.data.length / targetWidth / targetHeight; + const arr = new Uint8Array(tempData.data.buffer); + pixels = tf2.tensor(arr, [targetWidth, targetHeight, depth]); + } + } + if (depth === 4) { + const rgb3 = tf2.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); + tf2.dispose(pixels); + pixels = rgb3; + } + if (!pixels) + throw new Error("input error: cannot create tensor"); + const casted = tf2.cast(pixels, "float32"); + const tensor6 = config3.filter.equalization ? await histogramEqualization(casted) : tf2.expandDims(casted, 0); + tf2.dispose([pixels, casted]); + if (config3.filter.autoBrightness) { + const max5 = tf2.max(tensor6); + const maxVal = await max5.data(); + config3.filter.brightness = maxVal[0] > 1 ? 1 - maxVal[0] / 255 : 1 - maxVal[0]; + tf2.dispose(max5); + } + return { tensor: tensor6, canvas: config3.filter.return ? outCanvas : null }; +} +async function skip(config3, input) { + let skipFrame = false; + if (config3.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) + return skipFrame; + if (!last.inputTensor) { + last.inputTensor = tf2.clone(input); + } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { + tf2.dispose(last.inputTensor); + last.inputTensor = tf2.clone(input); + } else { + const t2 = {}; + t2.diff = tf2.sub(input, last.inputTensor); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; + tf2.dispose([last.inputTensor, t2.diff, t2.squared, t2.sum]); + last.inputTensor = tf2.clone(input); + skipFrame = diffRelative <= (config3.cacheSensitivity || 0); + } + return skipFrame; +} +async function compare(config3, input1, input2) { + const t2 = {}; + if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) { + if (!config3.debug) + log("invalid input tensor or tensor shapes do not match:", input1.shape, input2.shape); + return 0; + } + if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) { + if (!config3.debug) + log("input tensors must be of shape [1, height, width, 3]:", input1.shape, input2.shape); + return 0; + } + t2.input1 = tf2.clone(input1); + t2.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? tf2.image.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : tf2.clone(input2); + t2.diff = tf2.sub(t2.input1, t2.input2); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3; + tf2.dispose([t2.input1, t2.input2, t2.diff, t2.squared, t2.sum]); + return diffRelative; +} + +// src/util/env.ts +var _canvas, _image, _imageData; +var Env = class { + constructor() { + /** Running in Browser */ + __publicField(this, "browser"); + /** Running in NodeJS */ + __publicField(this, "node"); + /** Running in WebWorker thread */ + __publicField(this, "worker"); + /** Detected platform */ + __publicField(this, "platform", ""); + /** Detected agent */ + __publicField(this, "agent", ""); + /** List of supported backends */ + __publicField(this, "backends", []); + /** Has any work been performed so far */ + __publicField(this, "initial"); + /** Are image filters supported? */ + __publicField(this, "filter"); + /** TFJS instance details */ + __publicField(this, "tfjs"); + /** Is offscreenCanvas supported? */ + __publicField(this, "offscreen"); + /** Are performance counter instant values or additive */ + __publicField(this, "perfadd", false); + /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */ + __publicField(this, "tensorflow", { + version: void 0, + gpu: void 0 + }); + /** WASM detected capabilities */ + __publicField(this, "wasm", { + supported: void 0, + backend: void 0, + simd: void 0, + multithread: void 0 + }); + /** WebGL detected capabilities */ + __publicField(this, "webgl", { + supported: void 0, + backend: void 0, + version: void 0, + renderer: void 0, + shader: void 0, + vendor: void 0 + }); + /** WebGPU detected capabilities */ + __publicField(this, "webgpu", { + supported: void 0, + backend: void 0, + adapter: void 0 + }); + /** CPU info */ + __publicField(this, "cpu", { + model: void 0, + flags: [] + }); + /** List of supported kernels for current backend */ + __publicField(this, "kernels", []); + /** MonkeyPatch for Canvas/Image/ImageData */ + __privateAdd(this, _canvas, void 0); + __privateAdd(this, _image, void 0); + __privateAdd(this, _imageData, void 0); + this.browser = typeof navigator !== "undefined"; + this.node = typeof process !== "undefined" && typeof process.versions !== "undefined" && typeof process.versions.node !== "undefined"; + this.tfjs = { version: tf3.version["tfjs-core"] }; + this.offscreen = typeof OffscreenCanvas !== "undefined"; + this.initial = true; + this.worker = this.browser && this.offscreen ? typeof WorkerGlobalScope !== "undefined" : void 0; + if (typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined") { + const agent = navigator.userAgent || ""; + const raw = agent.match(/\(([^()]+)\)/g); + if (raw == null ? void 0 : raw[0]) { + const platformMatch = raw[0].match(/\(([^()]+)\)/g); + this.platform = (platformMatch == null ? void 0 : platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, "") : ""; + this.agent = agent.replace(raw[0], ""); + if (this.platform[1]) + this.agent = this.agent.replace(raw[1], ""); + this.agent = this.agent.replace(/ /g, " "); + } + } else if (typeof process !== "undefined") { + this.platform = `${process.platform} ${process.arch}`; + this.agent = `NodeJS ${process.version}`; + } + } + get Canvas() { + return __privateGet(this, _canvas); + } + set Canvas(val) { + __privateSet(this, _canvas, val); + globalThis.Canvas = val; + } + get Image() { + return __privateGet(this, _image); + } + // @ts-ignore monkey-patch; + set Image(val) { + __privateSet(this, _image, val); + globalThis.Image = val; + } + get ImageData() { + return __privateGet(this, _imageData); + } + // @ts-ignore monkey-patch; + set ImageData(val) { + __privateSet(this, _imageData, val); + globalThis.ImageData = val; + } + /** update backend information */ + async updateBackend() { + this.backends = Object.keys(tf3.engine().registryFactory); + try { + this.tensorflow = { + version: tf3.backend()["binding"] ? tf3.backend()["binding"].TF_Version : void 0, + gpu: tf3.backend()["binding"] ? tf3.backend()["binding"].isUsingGpuDevice() : void 0 + }; + } catch (e) { + } + this.wasm.supported = typeof WebAssembly !== "undefined"; + this.wasm.backend = this.backends.includes("wasm"); + if (this.wasm.supported && this.wasm.backend) { + this.wasm.simd = await tf3.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + this.wasm.multithread = await tf3.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + } + const c = canvas(100, 100); + const gl = c ? c.getContext("webgl2") : void 0; + this.webgl.supported = typeof gl !== "undefined"; + this.webgl.backend = this.backends.includes("webgl"); + if (this.webgl.supported && this.webgl.backend && gl) { + this.webgl.version = gl.getParameter(gl.VERSION); + this.webgl.vendor = gl.getParameter(gl.VENDOR); + this.webgl.renderer = gl.getParameter(gl.RENDERER); + this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION); + } + this.webgpu.supported = this.browser && typeof navigator !== "undefined" && typeof navigator.gpu !== "undefined"; + this.webgpu.backend = this.backends.includes("webgpu"); + try { + if (this.webgpu.supported) { + const adapter = await navigator.gpu.requestAdapter(); + this.webgpu.adapter = await (adapter == null ? void 0 : adapter.requestAdapterInfo()); + } + } catch (e) { + this.webgpu.supported = false; + } + try { + this.kernels = tf3.getKernelsForBackend(tf3.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); + } catch (e) { + } + } + /** update cpu information */ + updateCPU() { + const cpu = { model: "", flags: [] }; + if (this.node && this.platform.startsWith("linux")) { + } + if (!this.cpu) + Object.defineProperty(this, "cpu", { value: cpu }); + else + this.cpu = cpu; + } +}; +_canvas = new WeakMap(); +_image = new WeakMap(); +_imageData = new WeakMap(); +var env = new Env(); + +// src/util/webcam.ts +var WebCam = class { + constructor() { + // eslint-disable-line @typescript-eslint/no-extraneous-class + /** current webcam configuration */ + __publicField(this, "config"); + /** instance of dom element associated with webcam stream */ + __publicField(this, "element"); + /** active webcam stream */ + __publicField(this, "stream"); + /** enumerated video devices */ + __publicField(this, "devices", []); + __publicField(this, "enumerate", async () => { + try { + const devices = await navigator.mediaDevices.enumerateDevices(); + this.devices = devices.filter((device) => device.kind === "videoinput"); + } catch (e) { + this.devices = []; + } + return this.devices; + }); + /** start method initializizes webcam stream and associates it with a dom video element */ + __publicField(this, "start", async (webcamConfig) => { + var _a, _b; + if (webcamConfig == null ? void 0 : webcamConfig.debug) + this.config.debug = webcamConfig == null ? void 0 : webcamConfig.debug; + if (webcamConfig == null ? void 0 : webcamConfig.crop) + this.config.crop = webcamConfig == null ? void 0 : webcamConfig.crop; + if (webcamConfig == null ? void 0 : webcamConfig.mode) + this.config.mode = webcamConfig == null ? void 0 : webcamConfig.mode; + if (webcamConfig == null ? void 0 : webcamConfig.width) + this.config.width = webcamConfig == null ? void 0 : webcamConfig.width; + if (webcamConfig == null ? void 0 : webcamConfig.height) + this.config.height = webcamConfig == null ? void 0 : webcamConfig.height; + if (webcamConfig == null ? void 0 : webcamConfig.id) + this.config.id = webcamConfig == null ? void 0 : webcamConfig.id; + if (webcamConfig == null ? void 0 : webcamConfig.element) { + if (typeof webcamConfig.element === "string") { + const el = document.getElementById(webcamConfig.element); + if (el && el instanceof HTMLVideoElement) { + this.element = el; + } else { + if (this.config.debug) + log("webcam", "cannot get dom element", webcamConfig.element); + return; + } + } else if (webcamConfig.element instanceof HTMLVideoElement) { + this.element = webcamConfig.element; + } else { + if (this.config.debug) + log("webcam", "unknown dom element", webcamConfig.element); + return; + } + } else { + this.element = document.createElement("video"); + } + const requestedConstraints = { + audio: false, + video: { + facingMode: this.config.mode === "front" ? "user" : "environment", + // @ts-ignore // resizeMode is still not defined in tslib + resizeMode: this.config.crop ? "crop-and-scale" : "none" + } + }; + if (((_a = this.config) == null ? void 0 : _a.width) > 0) + requestedConstraints.video.width = { ideal: this.config.width }; + if (((_b = this.config) == null ? void 0 : _b.height) > 0) + requestedConstraints.video.height = { ideal: this.config.height }; + if (this.config.id) + requestedConstraints.video.deviceId = this.config.id; + this.element.addEventListener("play", () => { + if (this.config.debug) + log("webcam", "play"); + }); + this.element.addEventListener("pause", () => { + if (this.config.debug) + log("webcam", "pause"); + }); + this.element.addEventListener("click", async () => { + if (!this.element || !this.stream) + return; + if (this.element.paused) + await this.element.play(); + else + this.element.pause(); + }); + if (!(navigator == null ? void 0 : navigator.mediaDevices)) { + if (this.config.debug) + log("webcam", "no devices"); + return; + } + try { + this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); + } catch (err) { + log("webcam", err); + return; + } + if (!this.stream) { + if (this.config.debug) + log("webcam", "no stream"); + return; + } + this.element.srcObject = this.stream; + const ready3 = new Promise((resolve) => { + if (!this.element) + resolve(false); + else + this.element.onloadeddata = () => resolve(true); + }); + await ready3; + await this.element.play(); + if (this.config.debug) { + log("webcam", { + width: this.width, + height: this.height, + label: this.label, + stream: this.stream, + track: this.track, + settings: this.settings, + constraints: this.constraints, + capabilities: this.capabilities + }); + } + }); + /** pause webcam video method */ + __publicField(this, "pause", () => { + if (this.element) + this.element.pause(); + }); + /** play webcam video method */ + __publicField(this, "play", async () => { + if (this.element) + await this.element.play(); + }); + /** stop method stops active webcam stream track and disconnects webcam */ + __publicField(this, "stop", () => { + if (this.config.debug) + log("webcam", "stop"); + if (this.track) + this.track.stop(); + }); + this.config = { + element: void 0, + debug: true, + mode: "front", + crop: false, + width: 0, + height: 0 + }; + } + /** get active webcam stream track */ + get track() { + if (!this.stream) + return void 0; + return this.stream.getVideoTracks()[0]; + } + /** get webcam capabilities */ + get capabilities() { + if (!this.track) + return void 0; + return this.track.getCapabilities ? this.track.getCapabilities() : void 0; + } + /** get webcam constraints */ + get constraints() { + if (!this.track) + return void 0; + return this.track.getConstraints ? this.track.getConstraints() : void 0; + } + /** get webcam settings */ + get settings() { + if (!this.stream) + return void 0; + const track = this.stream.getVideoTracks()[0]; + return track.getSettings ? track.getSettings() : void 0; + } + /** get webcam label */ + get label() { + if (!this.track) + return ""; + return this.track.label; + } + /** is webcam paused */ + get paused() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.paused) || false; + } + /** webcam current width */ + get width() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoWidth) || 0; + } + /** webcam current height */ + get height() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoHeight) || 0; + } +}; + +// src/tfjs/load.ts +var tf4 = __toESM(require_tfjs_esm()); + +// models/models.json +var models_exports = {}; +__export(models_exports, { + "affectnet-mobilenet": () => affectnet_mobilenet, + age: () => age, + "anti-spoofing": () => anti_spoofing, + antispoof: () => antispoof, + blazeface: () => blazeface, + "blazeface-back": () => blazeface_back, + "blazeface-front": () => blazeface_front, + "blazepose-detector": () => blazepose_detector, + "blazepose-full": () => blazepose_full, + "blazepose-heavy": () => blazepose_heavy, + "blazepose-lite": () => blazepose_lite, + centernet: () => centernet, + default: () => models_default, + efficientpose: () => efficientpose, + "efficientpose-i-lite": () => efficientpose_i_lite, + "efficientpose-ii-lite": () => efficientpose_ii_lite, + "efficientpose-iv": () => efficientpose_iv, + emotion: () => emotion, + faceboxes: () => faceboxes, + facemesh: () => facemesh, + "facemesh-attention": () => facemesh_attention, + "facemesh-attention-pinto": () => facemesh_attention_pinto, + "facemesh-detection-full": () => facemesh_detection_full, + "facemesh-detection-short": () => facemesh_detection_short, + faceres: () => faceres, + "faceres-deep": () => faceres_deep, + gear: () => gear, + "gear-e1": () => gear_e1, + "gear-e2": () => gear_e2, + gender: () => gender, + "gender-ssrnet-imdb": () => gender_ssrnet_imdb, + handdetect: () => handdetect, + "handlandmark-full": () => handlandmark_full, + "handlandmark-lite": () => handlandmark_lite, + "handlandmark-sparse": () => handlandmark_sparse, + handskeleton: () => handskeleton, + handtrack: () => handtrack, + "insightface-efficientnet-b0": () => insightface_efficientnet_b0, + "insightface-ghostnet-strides1": () => insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": () => insightface_ghostnet_strides2, + "insightface-mobilenet-emore": () => insightface_mobilenet_emore, + "insightface-mobilenet-swish": () => insightface_mobilenet_swish, + iris: () => iris, + liveness: () => liveness, + meet: () => meet, + mobileface: () => mobileface, + mobilefacenet: () => mobilefacenet, + models: () => models, + "movenet-lightning": () => movenet_lightning, + "movenet-multipose": () => movenet_multipose, + "movenet-thunder": () => movenet_thunder, + nanodet: () => nanodet, + "nanodet-e": () => nanodet_e, + "nanodet-g": () => nanodet_g, + "nanodet-m": () => nanodet_m, + "nanodet-t": () => nanodet_t, + posenet: () => posenet, + rvm: () => rvm, + selfie: () => selfie +}); +var antispoof = 853098; +var blazeface = 538928; +var centernet = 4030290; +var emotion = 820516; +var facemesh = 1477958; +var faceres = 6978814; +var handlandmark_lite = 2023432; +var handtrack = 2964837; +var iris = 2599092; +var liveness = 592976; +var models = 0; +var movenet_lightning = 4650216; +var affectnet_mobilenet = 6920630; +var age = 161240; +var blazeface_back = 538928; +var blazeface_front = 402048; +var blazepose_detector = 5928856; +var blazepose_full = 6339202; +var blazepose_heavy = 27502466; +var blazepose_lite = 2726402; +var efficientpose = 5651240; +var faceboxes = 2013002; +var facemesh_attention_pinto = 2387598; +var facemesh_attention = 2382414; +var facemesh_detection_full = 1026192; +var facemesh_detection_short = 201268; +var faceres_deep = 13957620; +var gear_e1 = 112438; +var gear_e2 = 112438; +var gear = 1498916; +var gender_ssrnet_imdb = 161236; +var gender = 201808; +var handdetect = 3515612; +var handlandmark_full = 5431368; +var handlandmark_sparse = 5286322; +var handskeleton = 5502280; +var meet = 372228; +var mobileface = 2183192; +var mobilefacenet = 5171976; +var movenet_multipose = 9448838; +var movenet_thunder = 12477112; +var nanodet = 7574558; +var posenet = 5032780; +var rvm = 3739355; +var selfie = 212886; +var anti_spoofing = 853098; +var efficientpose_i_lite = 2269064; +var efficientpose_ii_lite = 5651240; +var efficientpose_iv = 25643252; +var insightface_efficientnet_b0 = 13013224; +var insightface_ghostnet_strides1 = 8093408; +var insightface_ghostnet_strides2 = 8049584; +var insightface_mobilenet_emore = 6938536; +var insightface_mobilenet_swish = 12168584; +var nanodet_e = 12319156; +var nanodet_g = 7574558; +var nanodet_m = 1887474; +var nanodet_t = 5294216; +var models_default = { + antispoof, + blazeface, + centernet, + emotion, + facemesh, + faceres, + "handlandmark-lite": handlandmark_lite, + handtrack, + iris, + liveness, + models, + "movenet-lightning": movenet_lightning, + "affectnet-mobilenet": affectnet_mobilenet, + age, + "blazeface-back": blazeface_back, + "blazeface-front": blazeface_front, + "blazepose-detector": blazepose_detector, + "blazepose-full": blazepose_full, + "blazepose-heavy": blazepose_heavy, + "blazepose-lite": blazepose_lite, + efficientpose, + faceboxes, + "facemesh-attention-pinto": facemesh_attention_pinto, + "facemesh-attention": facemesh_attention, + "facemesh-detection-full": facemesh_detection_full, + "facemesh-detection-short": facemesh_detection_short, + "faceres-deep": faceres_deep, + "gear-e1": gear_e1, + "gear-e2": gear_e2, + gear, + "gender-ssrnet-imdb": gender_ssrnet_imdb, + gender, + handdetect, + "handlandmark-full": handlandmark_full, + "handlandmark-sparse": handlandmark_sparse, + handskeleton, + meet, + mobileface, + mobilefacenet, + "movenet-multipose": movenet_multipose, + "movenet-thunder": movenet_thunder, + nanodet, + posenet, + rvm, + selfie, + "anti-spoofing": anti_spoofing, + "efficientpose-i-lite": efficientpose_i_lite, + "efficientpose-ii-lite": efficientpose_ii_lite, + "efficientpose-iv": efficientpose_iv, + "insightface-efficientnet-b0": insightface_efficientnet_b0, + "insightface-ghostnet-strides1": insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": insightface_ghostnet_strides2, + "insightface-mobilenet-emore": insightface_mobilenet_emore, + "insightface-mobilenet-swish": insightface_mobilenet_swish, + "nanodet-e": nanodet_e, + "nanodet-g": nanodet_g, + "nanodet-m": nanodet_m, + "nanodet-t": nanodet_t +}; + +// src/tfjs/load.ts +var options = { + cacheModels: true, + cacheSupported: true, + verbose: true, + debug: false, + modelBasePath: "" +}; +var modelStats = {}; +async function httpHandler(url, init4) { + if (options.debug) + log("load model fetch:", url, init4); + return fetch(url, init4); +} +function setModelLoadOptions(config3) { + options.cacheModels = config3.cacheModels; + options.verbose = config3.debug; + options.modelBasePath = config3.modelBasePath; +} +async function loadModel(modelPath) { + var _a, _b, _c, _d; + let modelUrl = join(options.modelBasePath, modelPath || ""); + if (!modelUrl.toLowerCase().endsWith(".json")) + modelUrl += ".json"; + const modelPathSegments = modelUrl.includes("/") ? modelUrl.split("/") : modelUrl.split("\\"); + const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace(".json", ""); + const cachedModelName = "indexeddb://" + shortModelName; + modelStats[shortModelName] = { + name: shortModelName, + sizeFromManifest: 0, + sizeLoadedWeights: 0, + sizeDesired: models_exports[shortModelName], + inCache: false, + url: "" + }; + options.cacheSupported = typeof indexedDB !== "undefined"; + let cachedModels = {}; + try { + cachedModels = options.cacheSupported && options.cacheModels ? await tf4.io.listModels() : {}; + } catch (e) { + options.cacheSupported = false; + } + modelStats[shortModelName].inCache = options.cacheSupported && options.cacheModels && Object.keys(cachedModels).includes(cachedModelName); + modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl; + const tfLoadOptions = typeof fetch === "undefined" ? {} : { fetchFunc: (url, init4) => httpHandler(url, init4) }; + let model23 = new tf4.GraphModel(modelStats[shortModelName].url, tfLoadOptions); + let loaded = false; + try { + model23.findIOHandler(); + if (options.debug) + log("model load handler:", model23["handler"]); + } catch (err) { + log("error finding model i/o handler:", modelUrl, err); + } + try { + const artifacts = await ((_a = model23.handler) == null ? void 0 : _a.load()) || null; + modelStats[shortModelName].sizeFromManifest = ((_b = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b.byteLength) || 0; + if (artifacts) + model23.loadSync(artifacts); + else + model23 = await tf4.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); + modelStats[shortModelName].sizeLoadedWeights = ((_d = (_c = model23.artifacts) == null ? void 0 : _c.weightData) == null ? void 0 : _d.byteLength) || 0; + if (options.verbose) + log("load:", { model: shortModelName, url: model23["modelUrl"], bytes: modelStats[shortModelName].sizeLoadedWeights }); + loaded = true; + } catch (err) { + log("error loading model:", modelUrl, err); + } + if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { + try { + const saveResult = await model23.save(cachedModelName); + if (options.debug) + log("model saved:", cachedModelName, saveResult); + } catch (err) { + log("error saving model:", modelUrl, err); + } + } + return model23; +} + +// package.json +var version2 = "3.0.6"; + +// src/tfjs/backend.ts +var tf7 = __toESM(require_tfjs_esm()); + +// src/tfjs/humangl.ts +var tf5 = __toESM(require_tfjs_esm()); +var config2 = { + name: "humangl", + priority: 999, + canvas: null, + gl: null, + extensions: [], + webGLattr: { + // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2 + alpha: false, + antialias: false, + premultipliedAlpha: false, + preserveDrawingBuffer: false, + depth: false, + stencil: false, + failIfMajorPerformanceCaveat: false, + // default=true + desynchronized: true + // default=undefined + } +}; +function extensions() { + const gl = config2.gl; + if (!gl) + return; + config2.extensions = gl.getSupportedExtensions(); +} +function register(instance) { + var _a; + if (instance.config.backend !== "humangl") + return; + if (config2.name in tf5.engine().registry && !((_a = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a.getParameter(config2.gl.VERSION))) { + log("humangl error: backend invalid context"); + instance.models.reset(); + } + if (!tf5.findBackend(config2.name)) { + try { + config2.canvas = canvas(100, 100); + } catch (err) { + log("humangl error: cannot create canvas:", err); + return; + } + try { + config2.gl = config2.canvas.getContext("webgl2", config2.webGLattr); + if (!config2.gl) { + log("humangl error: cannot get webgl context"); + return; + } + const glv2 = config2.gl.getParameter(config2.gl.VERSION).includes("2.0"); + if (!glv2) { + log("backend override: using fallback webgl backend as webgl 2.0 is not detected"); + instance.config.backend = "webgl"; + return; + } + if (config2.canvas) { + config2.canvas.addEventListener("webglcontextlost", (e) => { + log("humangl error:", e.type); + log("possible browser memory leak using webgl or conflict with multiple backend registrations"); + instance.emit("error"); + throw new Error("backend error: webgl context lost"); + }); + config2.canvas.addEventListener("webglcontextrestored", (e) => { + log("humangl error: context restored:", e); + }); + config2.canvas.addEventListener("webglcontextcreationerror", (e) => { + log("humangl error: context create:", e); + }); + } + } catch (err) { + log("humangl error: cannot get webgl context:", err); + return; + } + try { + tf5.setWebGLContext(2, config2.gl); + } catch (err) { + log("humangl error: cannot set webgl context:", err); + return; + } + try { + const ctx = new tf5.GPGPUContext(config2.gl); + tf5.registerBackend(config2.name, () => new tf5.MathBackendWebGL(ctx), config2.priority); + } catch (err) { + log("humangl error: cannot register webgl backend:", err); + return; + } + try { + const kernels = tf5.getKernelsForBackend("webgl"); + kernels.forEach((kernelConfig) => { + const newKernelConfig = { ...kernelConfig, backendName: config2.name }; + tf5.registerKernel(newKernelConfig); + }); + } catch (err) { + log("humangl error: cannot update webgl backend registration:", err); + return; + } + try { + if (tf5.env().flagRegistry.WEBGL_VERSION) + tf5.env().set("WEBGL_VERSION", 2); + } catch (err) { + log("humangl error: cannot set WebGL backend flags:", err); + return; + } + extensions(); + const backend4 = tf5.backend(); + const current = typeof backend4["gpgpu"] !== "undefined" ? backend4["getGPGPUContext"]().gl : null; + if (current) { + if (instance.config.debug) + log("humangl backend registered:", { webgl: current.getParameter(current.VERSION), renderer: current.getParameter(current.RENDERER) }); + } else { + log("humangl error: no current gl context:", current, config2.gl); + } + } +} + +// src/tfjs/constants.ts +var tf6 = __toESM(require_tfjs_esm()); +var constants = { + tf255: 255, + tf1: 1, + tf2: 2, + tf05: 0.5, + tf127: 127.5, + rgb: [0.2989, 0.587, 0.114] +}; +function init() { + constants.tf255 = tf6.scalar(255, "float32"); + constants.tf1 = tf6.scalar(1, "float32"); + constants.tf2 = tf6.scalar(2, "float32"); + constants.tf05 = tf6.scalar(0.5, "float32"); + constants.tf127 = tf6.scalar(127.5, "float32"); + constants.rgb = tf6.tensor1d([0.2989, 0.587, 0.114], "float32"); +} + +// src/tfjs/backend.ts +async function getBestBackend() { + var _a; + await env.updateBackend(); + if ((_a = env.tensorflow) == null ? void 0 : _a.version) + return "tensorflow"; + if (env.webgpu.supported && env.webgpu.backend) + return "webgpu"; + if (env.webgl.supported && env.webgl.backend) + return "webgl"; + if (env.wasm.supported && env.wasm.backend) + return "wasm"; + return "cpu"; +} +function registerCustomOps(config3) { + const newKernels = []; + if (!env.kernels.includes("mod")) { + const kernelMod = { + kernelName: "Mod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.sub(op.inputs.a, tf7.mul(tf7.div(op.inputs.a, op.inputs.b), op.inputs.b))) + }; + tf7.registerKernel(kernelMod); + env.kernels.push("mod"); + newKernels.push("mod"); + } + if (!env.kernels.includes("floormod")) { + const kernelFloorMod = { + kernelName: "FloorMod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.add(tf7.mul(tf7.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tf7.mod(op.inputs.a, op.inputs.b))) + }; + tf7.registerKernel(kernelFloorMod); + env.kernels.push("floormod"); + newKernels.push("floormod"); + } + if (!env.kernels.includes("rotatewithoffset") && config3.softwareKernels) { + const kernelRotateWithOffset = { + kernelName: "RotateWithOffset", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => { + const backend4 = tf7.getBackend(); + tf7.setBackend("cpu"); + const t2 = tf7.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center); + tf7.setBackend(backend4); + return t2; + }) + }; + tf7.registerKernel(kernelRotateWithOffset); + env.kernels.push("rotatewithoffset"); + newKernels.push("rotatewithoffset"); + } + if (newKernels.length > 0 && config3.debug) + log("registered kernels:", newKernels); +} +var defaultFlags = {}; +async function check(instance, force = false) { + var _a, _b; + instance.state = "backend"; + if (((_a = instance.config.backend) == null ? void 0 : _a.length) === 0) + instance.config.backend = await getBestBackend(); + if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && tf7.getBackend() !== instance.config.backend) { + const timeStamp = now(); + if (instance.config.backend && instance.config.backend.length > 0) { + if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) { + if (instance.config.debug) + log("running inside web worker"); + } + if (typeof navigator !== "undefined" && ((_b = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b.toLowerCase().includes("electron"))) { + if (instance.config.debug) + log("running inside electron"); + } + let available = Object.keys(tf7.engine().registryFactory); + if (instance.config.backend === "humangl" && !available.includes("humangl")) { + register(instance); + available = Object.keys(tf7.engine().registryFactory); + } + if (instance.config.debug) + log("available backends:", available); + if (env.browser && !env.node && instance.config.backend === "tensorflow" && available.includes("webgl")) { + if (instance.config.debug) + log("override: backend set to tensorflow while running in browser"); + instance.config.backend = "webgl"; + } + if (env.node && !env.browser && (instance.config.backend === "webgl" || instance.config.backend === "humangl") && available.includes("tensorflow")) { + if (instance.config.debug) + log(`override: backend set to ${instance.config.backend} while running in nodejs`); + instance.config.backend = "tensorflow"; + } + if (env.browser && instance.config.backend === "webgpu") { + if (typeof navigator === "undefined" || typeof navigator.gpu === "undefined") { + log("override: backend set to webgpu but browser does not support webgpu"); + instance.config.backend = "webgl"; + } else { + const adapter = await navigator.gpu.requestAdapter(); + if (instance.config.debug) + log("enumerated webgpu adapter:", adapter); + if (!adapter) { + log("override: backend set to webgpu but browser reports no available gpu"); + instance.config.backend = "webgl"; + } else { + const adapterInfo = "requestAdapterInfo" in adapter ? await adapter.requestAdapterInfo() : void 0; + log("webgpu adapter info:", adapterInfo); + } + } + } + if (!available.includes(instance.config.backend)) { + log(`error: backend ${instance.config.backend} not found in registry`); + instance.config.backend = env.node ? "tensorflow" : "webgl"; + if (instance.config.debug) + log(`override: setting backend ${instance.config.backend}`); + } + if (instance.config.debug) + log("setting backend:", [instance.config.backend]); + if (instance.config.backend === "wasm") { + if (tf7.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) + tf7.env().set("CANVAS2D_WILL_READ_FREQUENTLY", true); + if (instance.config.debug) + log("wasm path:", instance.config.wasmPath); + if (typeof tf7.setWasmPaths !== "undefined") + tf7.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch); + else + throw new Error("backend error: attempting to use wasm backend but wasm path is not set"); + let mt = false; + let simd = false; + try { + mt = await tf7.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + simd = await tf7.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + if (instance.config.debug) + log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`); + if (instance.config.debug && !simd) + log("warning: wasm simd support is not enabled"); + } catch (e) { + log("wasm detection failed"); + } + } + try { + await tf7.setBackend(instance.config.backend); + await tf7.ready(); + } catch (err) { + log("error: cannot set backend:", instance.config.backend, err); + return false; + } + if (instance.config.debug) + defaultFlags = JSON.parse(JSON.stringify(tf7.env().flags)); + } + if (tf7.getBackend() === "humangl" || tf7.getBackend() === "webgl") { + if (tf7.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf7.env().set("WEBGL_USE_SHAPES_UNIFORMS", true); + if (tf7.env().flagRegistry.WEBGL_EXP_CONV) + tf7.env().set("WEBGL_EXP_CONV", true); + if (instance.config.debug && typeof instance.config.deallocate !== "undefined" && instance.config.deallocate) { + log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true); + tf7.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); + } + } + if (tf7.getBackend() === "webgpu") { + } + if (instance.config.debug) { + const newFlags = tf7.env().flags; + const updatedFlags = {}; + for (const key of Object.keys(newFlags)) { + if (defaultFlags[key] === newFlags[key]) + continue; + updatedFlags[key] = newFlags[key]; + } + if (instance.config.debug && Object.keys(updatedFlags).length > 0) + log("backend:", tf7.getBackend(), "flags:", updatedFlags); + } + if (instance.config.flags && Object.keys(instance.config.flags).length > 0) { + if (instance.config.debug) + log("flags:", instance.config["flags"]); + for (const [key, val] of Object.entries(instance.config.flags)) { + tf7.env().set(key, val); + } + } + tf7.enableProdMode(); + init(); + instance.performance.initBackend = Math.trunc(now() - timeStamp); + instance.config.backend = tf7.getBackend(); + await env.updateBackend(); + registerCustomOps(instance.config); + } + return true; +} +function fakeOps(kernelNames, config3) { + for (const kernelName of kernelNames) { + const kernelConfig = { + kernelName, + backendName: config3.backend, + kernelFunc: (param) => { + var _a; + if (config3.debug) + log("kernelFunc", kernelName, config3.backend, param); + return (_a = param == null ? void 0 : param.inputs) == null ? void 0 : _a.info; + } + // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + }; + tf7.registerKernel(kernelConfig); + } + env.kernels = tf7.getKernelsForBackend(tf7.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); +} + +// src/draw/draw.ts +var draw_exports = {}; +__export(draw_exports, { + all: () => all, + body: () => body, + canvas: () => canvas2, + face: () => face, + gesture: () => gesture, + hand: () => hand, + init: () => init2, + object: () => object, + options: () => options2, + person: () => person +}); + +// src/draw/primitives.ts +var getCanvasContext = (input) => { + if (!input) + log("draw error: invalid canvas"); + else if (!input.getContext) + log("draw error: canvas context not defined"); + else { + const ctx = input.getContext("2d"); + if (!ctx) + log("draw error: cannot get canvas context"); + else + return ctx; + } + return null; +}; +var rad2deg = (theta) => Math.round(theta * 180 / Math.PI); +var replace = (str, source, target) => str.replace(source, typeof target === "number" ? target.toFixed(1) : target); +var colorDepth = (z, opt) => { + if (!opt.useDepth || typeof z === "undefined") + return opt.color; + const rgb3 = Uint8ClampedArray.from([127 + 2 * z, 127 - 2 * z, 255]); + return `rgba(${rgb3[0]}, ${rgb3[1]}, ${rgb3[2]}, ${opt.alpha})`; +}; +function labels(ctx, str, startX, startY, localOptions2) { + const line = str.replace(/\[.*\]/g, "").split("\n").map((l) => l.trim()); + const x = Math.max(0, startX); + for (let i = line.length - 1; i >= 0; i--) { + const y = i * localOptions2.lineHeight + startY; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(line[i], x + 5, y + 16); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(line[i], x + 4, y + 15); + } +} +function point(ctx, x, y, z, localOptions2) { + ctx.fillStyle = colorDepth(z, localOptions2); + ctx.beginPath(); + ctx.arc(x, y, localOptions2.pointSize, 0, 2 * Math.PI); + ctx.fill(); +} +function rect(ctx, x, y, width, height, localOptions2) { + ctx.beginPath(); + ctx.lineWidth = localOptions2.lineWidth; + if (localOptions2.useCurves) { + const cx = (x + x + width) / 2; + const cy = (y + y + height) / 2; + ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI); + } else { + ctx.moveTo(x + localOptions2.roundRect, y); + ctx.lineTo(x + width - localOptions2.roundRect, y); + ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions2.roundRect); + ctx.lineTo(x + width, y + height - localOptions2.roundRect); + ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions2.roundRect, y + height); + ctx.lineTo(x + localOptions2.roundRect, y + height); + ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions2.roundRect); + ctx.lineTo(x, y + localOptions2.roundRect); + ctx.quadraticCurveTo(x, y, x + localOptions2.roundRect, y); + ctx.closePath(); + } + ctx.stroke(); +} +function lines(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.beginPath(); + ctx.moveTo(points[0][0], points[0][1]); + for (const pt of points) { + ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions2); + ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1])); + } + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function curves(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.lineWidth = localOptions2.lineWidth; + if (!localOptions2.useCurves || points.length <= 2) { + lines(ctx, points, localOptions2); + return; + } + ctx.moveTo(points[0][0], points[0][1]); + for (let i = 0; i < points.length - 2; i++) { + const xc = (points[i][0] + points[i + 1][0]) / 2; + const yc = (points[i][1] + points[i + 1][1]) / 2; + ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc); + } + ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]); + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function arrow(ctx, from, to, radius = 5) { + let angle; + let x; + let y; + ctx.beginPath(); + ctx.moveTo(from[0], from[1]); + ctx.lineTo(to[0], to[1]); + angle = Math.atan2(to[1] - from[1], to[0] - from[0]); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.moveTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + ctx.closePath(); + ctx.stroke(); + ctx.fill(); +} + +// src/draw/options.ts +var options2 = { + color: "rgba(173, 216, 230, 0.6)", + // 'lightblue' with light alpha channel + labelColor: "rgba(173, 216, 230, 1)", + // 'lightblue' with dark alpha channel + shadowColor: "black", + alpha: 0.5, + font: 'small-caps 16px "Segoe UI"', + lineHeight: 18, + lineWidth: 4, + pointSize: 2, + roundRect: 8, + drawPoints: false, + drawLabels: true, + drawBoxes: true, + drawAttention: true, + drawGestures: true, + drawPolygons: true, + drawGaze: true, + fillPolygons: false, + useDepth: true, + useCurves: false, + faceLabels: "", + bodyLabels: "", + bodyPartLabels: "", + objectLabels: "", + handLabels: "", + fingerLabels: "", + gestureLabels: "" +}; + +// src/face/facemeshcoords.ts +var meshAnnotations = { + silhouette: [ + 10, + 338, + 297, + 332, + 284, + 251, + 389, + 356, + 454, + 323, + 361, + 288, + 397, + 365, + 379, + 378, + 400, + 377, + 152, + 148, + 176, + 149, + 150, + 136, + 172, + 58, + 132, + 93, + 234, + 127, + 162, + 21, + 54, + 103, + 67, + 109 + ], + // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11 + // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10 + // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11 + // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11 + lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409], + lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291], + lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415], + lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], + lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306], + lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408], + lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292], + lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407], + rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], + // 7 + rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], + // 9 + rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], + // 7 + rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], + // 9 + rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], + // 7 + rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], + // 9 + rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], + // 9 + rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], + // 8 + rightEyebrowLower: [35, 124, 46, 53, 52, 65], + // 6 + rightEyeIris: [473, 474, 475, 476, 477], + // 5 + leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398], + leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362], + leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414], + leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463], + leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413], + leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464], + leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465], + leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417], + leftEyebrowLower: [265, 353, 276, 283, 282, 295], + leftEyeIris: [468, 469, 470, 471, 472], + midwayBetweenEyes: [168], + noseTip: [1], + noseBottom: [2], + noseRightCorner: [98], + noseLeftCorner: [327], + rightCheek: [205], + leftCheek: [425] +}; +var meshLandmarks = { + count: 468, + mouth: 13, + symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]] +}; +var blazeFaceLandmarks = { + leftEye: 0, + rightEye: 1, + nose: 2, + mouth: 3, + leftEar: 4, + rightEar: 5, + symmetryLine: [3, 2] +}; +var irisIndices = [ + // A mapping from facemesh model keypoints to iris model keypoints. + { key: "EyeUpper0", indices: [9, 10, 11, 12, 13, 14, 15] }, + // 7 x 3d + { key: "EyeUpper1", indices: [25, 26, 27, 28, 29, 30, 31] }, + // 7 x 3d + { key: "EyeUpper2", indices: [41, 42, 43, 44, 45, 46, 47] }, + // 7 x 3d + { key: "EyeLower0", indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, + // 7 x 3d + { key: "EyeLower1", indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, + // 9 x 3d + { key: "EyeLower2", indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, + // 9 x 3d + { key: "EyeLower3", indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, + // 9 x 3d + { key: "EyebrowUpper", indices: [63, 64, 65, 66, 67, 68, 69, 70] }, + // 8 x 3d + { key: "EyebrowLower", indices: [48, 49, 50, 51, 52, 53] } + // 6 x 3d +]; +var UV468 = [ + [0.499976992607117, 0.652534008026123], + [0.500025987625122, 0.547487020492554], + [0.499974012374878, 0.602371990680695], + [0.482113003730774, 0.471979022026062], + [0.500150978565216, 0.527155995368958], + [0.499909996986389, 0.498252987861633], + [0.499523013830185, 0.40106201171875], + [0.289712011814117, 0.380764007568359], + [0.499954998493195, 0.312398016452789], + [0.499987006187439, 0.269918978214264], + [0.500023007392883, 0.107050001621246], + [0.500023007392883, 0.666234016418457], + [0.5000159740448, 0.679224014282227], + [0.500023007392883, 0.692348003387451], + [0.499976992607117, 0.695277988910675], + [0.499976992607117, 0.70593398809433], + [0.499976992607117, 0.719385027885437], + [0.499976992607117, 0.737019002437592], + [0.499967992305756, 0.781370997428894], + [0.499816000461578, 0.562981009483337], + [0.473773002624512, 0.573909997940063], + [0.104906998574734, 0.254140973091125], + [0.365929991006851, 0.409575998783112], + [0.338757991790771, 0.41302502155304], + [0.311120003461838, 0.409460008144379], + [0.274657994508743, 0.389131009578705], + [0.393361985683441, 0.403706014156342], + [0.345234006643295, 0.344011008739471], + [0.370094001293182, 0.346076011657715], + [0.319321990013123, 0.347265005111694], + [0.297903001308441, 0.353591024875641], + [0.24779200553894, 0.410809993743896], + [0.396889001131058, 0.842755019664764], + [0.280097991228104, 0.375599980354309], + [0.106310002505779, 0.399955987930298], + [0.2099249958992, 0.391353011131287], + [0.355807989835739, 0.534406006336212], + [0.471751004457474, 0.65040397644043], + [0.474155008792877, 0.680191993713379], + [0.439785003662109, 0.657229006290436], + [0.414617002010345, 0.66654098033905], + [0.450374007225037, 0.680860996246338], + [0.428770989179611, 0.682690978050232], + [0.374971002340317, 0.727805018424988], + [0.486716985702515, 0.547628998756409], + [0.485300987958908, 0.527395009994507], + [0.257764995098114, 0.314490020275116], + [0.401223003864288, 0.455172002315521], + [0.429818987846375, 0.548614978790283], + [0.421351999044418, 0.533740997314453], + [0.276895999908447, 0.532056987285614], + [0.483370006084442, 0.499586999416351], + [0.33721199631691, 0.282882988452911], + [0.296391993761063, 0.293242990970612], + [0.169294998049736, 0.193813979625702], + [0.447580009698868, 0.302609980106354], + [0.392390012741089, 0.353887975215912], + [0.354490011930466, 0.696784019470215], + [0.067304998636246, 0.730105042457581], + [0.442739009857178, 0.572826027870178], + [0.457098007202148, 0.584792017936707], + [0.381974011659622, 0.694710969924927], + [0.392388999462128, 0.694203019142151], + [0.277076005935669, 0.271932005882263], + [0.422551989555359, 0.563233017921448], + [0.385919004678726, 0.281364023685455], + [0.383103013038635, 0.255840003490448], + [0.331431001424789, 0.119714021682739], + [0.229923993349075, 0.232002973556519], + [0.364500999450684, 0.189113974571228], + [0.229622006416321, 0.299540996551514], + [0.173287004232407, 0.278747975826263], + [0.472878992557526, 0.666198015213013], + [0.446828007698059, 0.668527007102966], + [0.422762006521225, 0.673889994621277], + [0.445307999849319, 0.580065965652466], + [0.388103008270264, 0.693961024284363], + [0.403039008378983, 0.706539988517761], + [0.403629004955292, 0.693953037261963], + [0.460041999816895, 0.557139039039612], + [0.431158006191254, 0.692366003990173], + [0.452181994915009, 0.692366003990173], + [0.475387006998062, 0.692366003990173], + [0.465828001499176, 0.779190003871918], + [0.472328990697861, 0.736225962638855], + [0.473087012767792, 0.717857003211975], + [0.473122000694275, 0.704625964164734], + [0.473033010959625, 0.695277988910675], + [0.427942007780075, 0.695277988910675], + [0.426479011774063, 0.703539967536926], + [0.423162013292313, 0.711845993995667], + [0.4183090031147, 0.720062971115112], + [0.390094995498657, 0.639572978019714], + [0.013953999616206, 0.560034036636353], + [0.499913990497589, 0.58014702796936], + [0.413199990987778, 0.69539999961853], + [0.409626007080078, 0.701822996139526], + [0.468080013990402, 0.601534962654114], + [0.422728985548019, 0.585985004901886], + [0.463079988956451, 0.593783974647522], + [0.37211999297142, 0.47341400384903], + [0.334562003612518, 0.496073007583618], + [0.411671012639999, 0.546965003013611], + [0.242175996303558, 0.14767599105835], + [0.290776997804642, 0.201445996761322], + [0.327338010072708, 0.256527006626129], + [0.399509996175766, 0.748921036720276], + [0.441727995872498, 0.261676013469696], + [0.429764986038208, 0.187834024429321], + [0.412198007106781, 0.108901023864746], + [0.288955003023148, 0.398952007293701], + [0.218936994671822, 0.435410976409912], + [0.41278201341629, 0.398970007896423], + [0.257135003805161, 0.355440020561218], + [0.427684992551804, 0.437960982322693], + [0.448339998722076, 0.536936044692993], + [0.178560003638268, 0.45755398273468], + [0.247308000922203, 0.457193970680237], + [0.286267012357712, 0.467674970626831], + [0.332827985286713, 0.460712015628815], + [0.368755996227264, 0.447206974029541], + [0.398963987827301, 0.432654976844788], + [0.476410001516342, 0.405806005001068], + [0.189241006970406, 0.523923993110657], + [0.228962004184723, 0.348950982093811], + [0.490725994110107, 0.562400996685028], + [0.404670000076294, 0.485132992267609], + [0.019469000399113, 0.401564002037048], + [0.426243007183075, 0.420431017875671], + [0.396993011236191, 0.548797011375427], + [0.266469985246658, 0.376977026462555], + [0.439121007919312, 0.51895797252655], + [0.032313998788595, 0.644356966018677], + [0.419054001569748, 0.387154996395111], + [0.462783008813858, 0.505746960639954], + [0.238978996872902, 0.779744982719421], + [0.198220998048782, 0.831938028335571], + [0.107550002634525, 0.540755033493042], + [0.183610007166862, 0.740257024765015], + [0.134409993886948, 0.333683013916016], + [0.385764002799988, 0.883153975009918], + [0.490967005491257, 0.579378008842468], + [0.382384985685349, 0.508572995662689], + [0.174399003386497, 0.397670984268188], + [0.318785011768341, 0.39623498916626], + [0.343364000320435, 0.400596976280212], + [0.396100014448166, 0.710216999053955], + [0.187885001301765, 0.588537991046906], + [0.430987000465393, 0.944064974784851], + [0.318993002176285, 0.898285031318665], + [0.266247987747192, 0.869701027870178], + [0.500023007392883, 0.190576016902924], + [0.499976992607117, 0.954452991485596], + [0.366169989109039, 0.398822009563446], + [0.393207013607025, 0.39553701877594], + [0.410373002290726, 0.391080021858215], + [0.194993004202843, 0.342101991176605], + [0.388664990663528, 0.362284004688263], + [0.365961998701096, 0.355970978736877], + [0.343364000320435, 0.355356991291046], + [0.318785011768341, 0.35834002494812], + [0.301414996385574, 0.363156020641327], + [0.058132998645306, 0.319076001644135], + [0.301414996385574, 0.387449026107788], + [0.499987989664078, 0.618434011936188], + [0.415838003158569, 0.624195992946625], + [0.445681989192963, 0.566076993942261], + [0.465844005346298, 0.620640993118286], + [0.49992299079895, 0.351523995399475], + [0.288718998432159, 0.819945991039276], + [0.335278987884521, 0.852819979190826], + [0.440512001514435, 0.902418971061707], + [0.128294005990028, 0.791940987110138], + [0.408771991729736, 0.373893976211548], + [0.455606997013092, 0.451801002025604], + [0.499877005815506, 0.908990025520325], + [0.375436991453171, 0.924192011356354], + [0.11421000212431, 0.615022003650665], + [0.448662012815475, 0.695277988910675], + [0.4480200111866, 0.704632043838501], + [0.447111994028091, 0.715808033943176], + [0.444831997156143, 0.730794012546539], + [0.430011987686157, 0.766808986663818], + [0.406787008047104, 0.685672998428345], + [0.400738000869751, 0.681069016456604], + [0.392399996519089, 0.677703022956848], + [0.367855995893478, 0.663918972015381], + [0.247923001646996, 0.601333022117615], + [0.452769994735718, 0.420849978923798], + [0.43639200925827, 0.359887003898621], + [0.416164010763168, 0.368713974952698], + [0.413385987281799, 0.692366003990173], + [0.228018000721931, 0.683571994304657], + [0.468268007040024, 0.352671027183533], + [0.411361992359161, 0.804327011108398], + [0.499989002943039, 0.469825029373169], + [0.479153990745544, 0.442654013633728], + [0.499974012374878, 0.439637005329132], + [0.432112008333206, 0.493588984012604], + [0.499886006116867, 0.866917014122009], + [0.49991300702095, 0.821729004383087], + [0.456548988819122, 0.819200992584229], + [0.344549000263214, 0.745438992977142], + [0.37890899181366, 0.574010014533997], + [0.374292999505997, 0.780184984207153], + [0.319687992334366, 0.570737957954407], + [0.357154995203018, 0.604269981384277], + [0.295284003019333, 0.621580958366394], + [0.447750002145767, 0.862477004528046], + [0.410986006259918, 0.508723020553589], + [0.31395098567009, 0.775308012962341], + [0.354128003120422, 0.812552988529205], + [0.324548006057739, 0.703992962837219], + [0.189096003770828, 0.646299958229065], + [0.279776990413666, 0.71465802192688], + [0.1338230073452, 0.682700991630554], + [0.336768001317978, 0.644733011722565], + [0.429883986711502, 0.466521978378296], + [0.455527991056442, 0.548622965812683], + [0.437114000320435, 0.558896005153656], + [0.467287987470627, 0.529924988746643], + [0.414712011814117, 0.335219979286194], + [0.37704598903656, 0.322777986526489], + [0.344107985496521, 0.320150971412659], + [0.312875986099243, 0.32233202457428], + [0.283526003360748, 0.333190023899078], + [0.241245999932289, 0.382785975933075], + [0.102986000478268, 0.468762993812561], + [0.267612010240555, 0.424560010433197], + [0.297879010438919, 0.433175981044769], + [0.333433985710144, 0.433878004550934], + [0.366427004337311, 0.426115989685059], + [0.396012008190155, 0.416696012020111], + [0.420121014118195, 0.41022801399231], + [0.007561000064015, 0.480777025222778], + [0.432949006557465, 0.569517970085144], + [0.458638995885849, 0.479089021682739], + [0.473466008901596, 0.545744001865387], + [0.476087987422943, 0.563830018043518], + [0.468472003936768, 0.555056989192963], + [0.433990985155106, 0.582361996173859], + [0.483518004417419, 0.562983989715576], + [0.482482999563217, 0.57784903049469], + [0.42645001411438, 0.389798998832703], + [0.438998997211456, 0.39649498462677], + [0.450067013502121, 0.400434017181396], + [0.289712011814117, 0.368252992630005], + [0.276670008897781, 0.363372981548309], + [0.517862021923065, 0.471948027610779], + [0.710287988185883, 0.380764007568359], + [0.526226997375488, 0.573909997940063], + [0.895093023777008, 0.254140973091125], + [0.634069979190826, 0.409575998783112], + [0.661242008209229, 0.41302502155304], + [0.688880026340485, 0.409460008144379], + [0.725341975688934, 0.389131009578705], + [0.606630027294159, 0.40370500087738], + [0.654766023159027, 0.344011008739471], + [0.629905998706818, 0.346076011657715], + [0.680678009986877, 0.347265005111694], + [0.702096998691559, 0.353591024875641], + [0.75221198797226, 0.410804986953735], + [0.602918028831482, 0.842862963676453], + [0.719901978969574, 0.375599980354309], + [0.893692970275879, 0.399959981441498], + [0.790081977844238, 0.391354024410248], + [0.643998026847839, 0.534487962722778], + [0.528249025344849, 0.65040397644043], + [0.525849997997284, 0.680191040039062], + [0.560214996337891, 0.657229006290436], + [0.585384011268616, 0.66654098033905], + [0.549625992774963, 0.680860996246338], + [0.57122802734375, 0.682691991329193], + [0.624852001667023, 0.72809898853302], + [0.513050019741058, 0.547281980514526], + [0.51509702205658, 0.527251958847046], + [0.742246985435486, 0.314507007598877], + [0.598631024360657, 0.454979002475739], + [0.570338010787964, 0.548575043678284], + [0.578631997108459, 0.533622980117798], + [0.723087012767792, 0.532054007053375], + [0.516445994377136, 0.499638974666595], + [0.662801027297974, 0.282917976379395], + [0.70362401008606, 0.293271005153656], + [0.830704987049103, 0.193813979625702], + [0.552385985851288, 0.302568018436432], + [0.607609987258911, 0.353887975215912], + [0.645429015159607, 0.696707010269165], + [0.932694971561432, 0.730105042457581], + [0.557260990142822, 0.572826027870178], + [0.542901992797852, 0.584792017936707], + [0.6180260181427, 0.694710969924927], + [0.607590973377228, 0.694203019142151], + [0.722943007946014, 0.271963000297546], + [0.577413976192474, 0.563166975975037], + [0.614082992076874, 0.281386971473694], + [0.616907000541687, 0.255886018276215], + [0.668509006500244, 0.119913995265961], + [0.770092010498047, 0.232020974159241], + [0.635536015033722, 0.189248979091644], + [0.77039098739624, 0.299556016921997], + [0.826722025871277, 0.278755009174347], + [0.527121007442474, 0.666198015213013], + [0.553171992301941, 0.668527007102966], + [0.577238023281097, 0.673889994621277], + [0.554691970348358, 0.580065965652466], + [0.611896991729736, 0.693961024284363], + [0.59696102142334, 0.706539988517761], + [0.596370995044708, 0.693953037261963], + [0.539958000183105, 0.557139039039612], + [0.568841993808746, 0.692366003990173], + [0.547818005084991, 0.692366003990173], + [0.52461302280426, 0.692366003990173], + [0.534089982509613, 0.779141008853912], + [0.527670979499817, 0.736225962638855], + [0.526912987232208, 0.717857003211975], + [0.526877999305725, 0.704625964164734], + [0.526966989040375, 0.695277988910675], + [0.572058022022247, 0.695277988910675], + [0.573521018028259, 0.703539967536926], + [0.57683801651001, 0.711845993995667], + [0.581691026687622, 0.720062971115112], + [0.609944999217987, 0.639909982681274], + [0.986046016216278, 0.560034036636353], + [0.5867999792099, 0.69539999961853], + [0.590372025966644, 0.701822996139526], + [0.531915009021759, 0.601536989212036], + [0.577268004417419, 0.585934996604919], + [0.536915004253387, 0.593786001205444], + [0.627542972564697, 0.473352015018463], + [0.665585994720459, 0.495950996875763], + [0.588353991508484, 0.546862006187439], + [0.757824003696442, 0.14767599105835], + [0.709249973297119, 0.201507985591888], + [0.672684013843536, 0.256581008434296], + [0.600408971309662, 0.74900496006012], + [0.55826598405838, 0.261672019958496], + [0.570303976535797, 0.187870979309082], + [0.588165998458862, 0.109044015407562], + [0.711045026779175, 0.398952007293701], + [0.781069993972778, 0.435405015945435], + [0.587247014045715, 0.398931980133057], + [0.742869973182678, 0.355445981025696], + [0.572156012058258, 0.437651991844177], + [0.55186802148819, 0.536570012569427], + [0.821442008018494, 0.457556009292603], + [0.752701997756958, 0.457181990146637], + [0.71375697851181, 0.467626988887787], + [0.66711300611496, 0.460672974586487], + [0.631101012229919, 0.447153985500336], + [0.6008620262146, 0.432473003864288], + [0.523481011390686, 0.405627012252808], + [0.810747981071472, 0.523926019668579], + [0.771045982837677, 0.348959028720856], + [0.509127020835876, 0.562718033790588], + [0.595292985439301, 0.485023975372314], + [0.980530977249146, 0.401564002037048], + [0.573499977588654, 0.420000016689301], + [0.602994978427887, 0.548687994480133], + [0.733529984951019, 0.376977026462555], + [0.560611009597778, 0.519016981124878], + [0.967685997486115, 0.644356966018677], + [0.580985009670258, 0.387160003185272], + [0.537728011608124, 0.505385041236877], + [0.760966002941132, 0.779752969741821], + [0.801778972148895, 0.831938028335571], + [0.892440974712372, 0.54076099395752], + [0.816350996494293, 0.740260004997253], + [0.865594983100891, 0.333687007427216], + [0.614073991775513, 0.883246004581451], + [0.508952975273132, 0.579437971115112], + [0.617941975593567, 0.508316040039062], + [0.825608015060425, 0.397674977779388], + [0.681214988231659, 0.39623498916626], + [0.656635999679565, 0.400596976280212], + [0.603900015354156, 0.710216999053955], + [0.81208598613739, 0.588539004325867], + [0.56801301240921, 0.944564998149872], + [0.681007981300354, 0.898285031318665], + [0.733752012252808, 0.869701027870178], + [0.633830010890961, 0.398822009563446], + [0.606792986392975, 0.39553701877594], + [0.589659988880157, 0.391062021255493], + [0.805015981197357, 0.342108011245728], + [0.611334979534149, 0.362284004688263], + [0.634037971496582, 0.355970978736877], + [0.656635999679565, 0.355356991291046], + [0.681214988231659, 0.35834002494812], + [0.698584973812103, 0.363156020641327], + [0.941866993904114, 0.319076001644135], + [0.698584973812103, 0.387449026107788], + [0.584177017211914, 0.624107003211975], + [0.554318010807037, 0.566076993942261], + [0.534153997898102, 0.62064003944397], + [0.711217999458313, 0.819975018501282], + [0.664629995822906, 0.852871000766754], + [0.559099972248077, 0.902631998062134], + [0.871706008911133, 0.791940987110138], + [0.591234028339386, 0.373893976211548], + [0.544341027736664, 0.451583981513977], + [0.624562978744507, 0.924192011356354], + [0.88577002286911, 0.615028977394104], + [0.551338016986847, 0.695277988910675], + [0.551980018615723, 0.704632043838501], + [0.552887976169586, 0.715808033943176], + [0.555167973041534, 0.730794012546539], + [0.569944024085999, 0.767035007476807], + [0.593203008174896, 0.685675978660583], + [0.599261999130249, 0.681069016456604], + [0.607599973678589, 0.677703022956848], + [0.631937980651855, 0.663500010967255], + [0.752032995223999, 0.601315021514893], + [0.547226011753082, 0.420395016670227], + [0.563543975353241, 0.359827995300293], + [0.583841025829315, 0.368713974952698], + [0.586614012718201, 0.692366003990173], + [0.771915018558502, 0.683578014373779], + [0.531597018241882, 0.352482974529266], + [0.588370978832245, 0.804440975189209], + [0.52079701423645, 0.442565023899078], + [0.567984998226166, 0.493479013442993], + [0.543282985687256, 0.819254994392395], + [0.655317008495331, 0.745514988899231], + [0.621008992195129, 0.574018001556396], + [0.625559985637665, 0.78031200170517], + [0.680198013782501, 0.570719003677368], + [0.64276397228241, 0.604337990283966], + [0.704662978649139, 0.621529996395111], + [0.552012026309967, 0.862591981887817], + [0.589071989059448, 0.508637011051178], + [0.685944974422455, 0.775357007980347], + [0.645735025405884, 0.812640011310577], + [0.675342977046967, 0.703978002071381], + [0.810858011245728, 0.646304965019226], + [0.72012197971344, 0.714666962623596], + [0.866151988506317, 0.682704985141754], + [0.663187026977539, 0.644596993923187], + [0.570082008838654, 0.466325998306274], + [0.544561982154846, 0.548375964164734], + [0.562758982181549, 0.558784961700439], + [0.531987011432648, 0.530140042304993], + [0.585271000862122, 0.335177004337311], + [0.622952997684479, 0.32277899980545], + [0.655896008014679, 0.320163011550903], + [0.687132000923157, 0.322345972061157], + [0.716481983661652, 0.333200991153717], + [0.758756995201111, 0.382786989212036], + [0.897013008594513, 0.468769013881683], + [0.732392013072968, 0.424547016620636], + [0.70211398601532, 0.433162987232208], + [0.66652500629425, 0.433866024017334], + [0.633504986763, 0.426087975502014], + [0.603875994682312, 0.416586995124817], + [0.579657971858978, 0.409945011138916], + [0.992439985275269, 0.480777025222778], + [0.567192018032074, 0.569419980049133], + [0.54136598110199, 0.478899002075195], + [0.526564002037048, 0.546118021011353], + [0.523913025856018, 0.563830018043518], + [0.531529009342194, 0.555056989192963], + [0.566035985946655, 0.582329034805298], + [0.51631098985672, 0.563053965568542], + [0.5174720287323, 0.577877044677734], + [0.573594987392426, 0.389806985855103], + [0.560697972774506, 0.395331978797913], + [0.549755990505219, 0.399751007556915], + [0.710287988185883, 0.368252992630005], + [0.723330020904541, 0.363372981548309] +]; +var TRI468 = [ + 127, + 34, + 139, + 11, + 0, + 37, + 232, + 231, + 120, + 72, + 37, + 39, + 128, + 121, + 47, + 232, + 121, + 128, + 104, + 69, + 67, + 175, + 171, + 148, + 157, + 154, + 155, + 118, + 50, + 101, + 73, + 39, + 40, + 9, + 151, + 108, + 48, + 115, + 131, + 194, + 204, + 211, + 74, + 40, + 185, + 80, + 42, + 183, + 40, + 92, + 186, + 230, + 229, + 118, + 202, + 212, + 214, + 83, + 18, + 17, + 76, + 61, + 146, + 160, + 29, + 30, + 56, + 157, + 173, + 106, + 204, + 194, + 135, + 214, + 192, + 203, + 165, + 98, + 21, + 71, + 68, + 51, + 45, + 4, + 144, + 24, + 23, + 77, + 146, + 91, + 205, + 50, + 187, + 201, + 200, + 18, + 91, + 106, + 182, + 90, + 91, + 181, + 85, + 84, + 17, + 206, + 203, + 36, + 148, + 171, + 140, + 92, + 40, + 39, + 193, + 189, + 244, + 159, + 158, + 28, + 247, + 246, + 161, + 236, + 3, + 196, + 54, + 68, + 104, + 193, + 168, + 8, + 117, + 228, + 31, + 189, + 193, + 55, + 98, + 97, + 99, + 126, + 47, + 100, + 166, + 79, + 218, + 155, + 154, + 26, + 209, + 49, + 131, + 135, + 136, + 150, + 47, + 126, + 217, + 223, + 52, + 53, + 45, + 51, + 134, + 211, + 170, + 140, + 67, + 69, + 108, + 43, + 106, + 91, + 230, + 119, + 120, + 226, + 130, + 247, + 63, + 53, + 52, + 238, + 20, + 242, + 46, + 70, + 156, + 78, + 62, + 96, + 46, + 53, + 63, + 143, + 34, + 227, + 173, + 155, + 133, + 123, + 117, + 111, + 44, + 125, + 19, + 236, + 134, + 51, + 216, + 206, + 205, + 154, + 153, + 22, + 39, + 37, + 167, + 200, + 201, + 208, + 36, + 142, + 100, + 57, + 212, + 202, + 20, + 60, + 99, + 28, + 158, + 157, + 35, + 226, + 113, + 160, + 159, + 27, + 204, + 202, + 210, + 113, + 225, + 46, + 43, + 202, + 204, + 62, + 76, + 77, + 137, + 123, + 116, + 41, + 38, + 72, + 203, + 129, + 142, + 64, + 98, + 240, + 49, + 102, + 64, + 41, + 73, + 74, + 212, + 216, + 207, + 42, + 74, + 184, + 169, + 170, + 211, + 170, + 149, + 176, + 105, + 66, + 69, + 122, + 6, + 168, + 123, + 147, + 187, + 96, + 77, + 90, + 65, + 55, + 107, + 89, + 90, + 180, + 101, + 100, + 120, + 63, + 105, + 104, + 93, + 137, + 227, + 15, + 86, + 85, + 129, + 102, + 49, + 14, + 87, + 86, + 55, + 8, + 9, + 100, + 47, + 121, + 145, + 23, + 22, + 88, + 89, + 179, + 6, + 122, + 196, + 88, + 95, + 96, + 138, + 172, + 136, + 215, + 58, + 172, + 115, + 48, + 219, + 42, + 80, + 81, + 195, + 3, + 51, + 43, + 146, + 61, + 171, + 175, + 199, + 81, + 82, + 38, + 53, + 46, + 225, + 144, + 163, + 110, + 246, + 33, + 7, + 52, + 65, + 66, + 229, + 228, + 117, + 34, + 127, + 234, + 107, + 108, + 69, + 109, + 108, + 151, + 48, + 64, + 235, + 62, + 78, + 191, + 129, + 209, + 126, + 111, + 35, + 143, + 163, + 161, + 246, + 117, + 123, + 50, + 222, + 65, + 52, + 19, + 125, + 141, + 221, + 55, + 65, + 3, + 195, + 197, + 25, + 7, + 33, + 220, + 237, + 44, + 70, + 71, + 139, + 122, + 193, + 245, + 247, + 130, + 33, + 71, + 21, + 162, + 153, + 158, + 159, + 170, + 169, + 150, + 188, + 174, + 196, + 216, + 186, + 92, + 144, + 160, + 161, + 2, + 97, + 167, + 141, + 125, + 241, + 164, + 167, + 37, + 72, + 38, + 12, + 145, + 159, + 160, + 38, + 82, + 13, + 63, + 68, + 71, + 226, + 35, + 111, + 158, + 153, + 154, + 101, + 50, + 205, + 206, + 92, + 165, + 209, + 198, + 217, + 165, + 167, + 97, + 220, + 115, + 218, + 133, + 112, + 243, + 239, + 238, + 241, + 214, + 135, + 169, + 190, + 173, + 133, + 171, + 208, + 32, + 125, + 44, + 237, + 86, + 87, + 178, + 85, + 86, + 179, + 84, + 85, + 180, + 83, + 84, + 181, + 201, + 83, + 182, + 137, + 93, + 132, + 76, + 62, + 183, + 61, + 76, + 184, + 57, + 61, + 185, + 212, + 57, + 186, + 214, + 207, + 187, + 34, + 143, + 156, + 79, + 239, + 237, + 123, + 137, + 177, + 44, + 1, + 4, + 201, + 194, + 32, + 64, + 102, + 129, + 213, + 215, + 138, + 59, + 166, + 219, + 242, + 99, + 97, + 2, + 94, + 141, + 75, + 59, + 235, + 24, + 110, + 228, + 25, + 130, + 226, + 23, + 24, + 229, + 22, + 23, + 230, + 26, + 22, + 231, + 112, + 26, + 232, + 189, + 190, + 243, + 221, + 56, + 190, + 28, + 56, + 221, + 27, + 28, + 222, + 29, + 27, + 223, + 30, + 29, + 224, + 247, + 30, + 225, + 238, + 79, + 20, + 166, + 59, + 75, + 60, + 75, + 240, + 147, + 177, + 215, + 20, + 79, + 166, + 187, + 147, + 213, + 112, + 233, + 244, + 233, + 128, + 245, + 128, + 114, + 188, + 114, + 217, + 174, + 131, + 115, + 220, + 217, + 198, + 236, + 198, + 131, + 134, + 177, + 132, + 58, + 143, + 35, + 124, + 110, + 163, + 7, + 228, + 110, + 25, + 356, + 389, + 368, + 11, + 302, + 267, + 452, + 350, + 349, + 302, + 303, + 269, + 357, + 343, + 277, + 452, + 453, + 357, + 333, + 332, + 297, + 175, + 152, + 377, + 384, + 398, + 382, + 347, + 348, + 330, + 303, + 304, + 270, + 9, + 336, + 337, + 278, + 279, + 360, + 418, + 262, + 431, + 304, + 408, + 409, + 310, + 415, + 407, + 270, + 409, + 410, + 450, + 348, + 347, + 422, + 430, + 434, + 313, + 314, + 17, + 306, + 307, + 375, + 387, + 388, + 260, + 286, + 414, + 398, + 335, + 406, + 418, + 364, + 367, + 416, + 423, + 358, + 327, + 251, + 284, + 298, + 281, + 5, + 4, + 373, + 374, + 253, + 307, + 320, + 321, + 425, + 427, + 411, + 421, + 313, + 18, + 321, + 405, + 406, + 320, + 404, + 405, + 315, + 16, + 17, + 426, + 425, + 266, + 377, + 400, + 369, + 322, + 391, + 269, + 417, + 465, + 464, + 386, + 257, + 258, + 466, + 260, + 388, + 456, + 399, + 419, + 284, + 332, + 333, + 417, + 285, + 8, + 346, + 340, + 261, + 413, + 441, + 285, + 327, + 460, + 328, + 355, + 371, + 329, + 392, + 439, + 438, + 382, + 341, + 256, + 429, + 420, + 360, + 364, + 394, + 379, + 277, + 343, + 437, + 443, + 444, + 283, + 275, + 440, + 363, + 431, + 262, + 369, + 297, + 338, + 337, + 273, + 375, + 321, + 450, + 451, + 349, + 446, + 342, + 467, + 293, + 334, + 282, + 458, + 461, + 462, + 276, + 353, + 383, + 308, + 324, + 325, + 276, + 300, + 293, + 372, + 345, + 447, + 382, + 398, + 362, + 352, + 345, + 340, + 274, + 1, + 19, + 456, + 248, + 281, + 436, + 427, + 425, + 381, + 256, + 252, + 269, + 391, + 393, + 200, + 199, + 428, + 266, + 330, + 329, + 287, + 273, + 422, + 250, + 462, + 328, + 258, + 286, + 384, + 265, + 353, + 342, + 387, + 259, + 257, + 424, + 431, + 430, + 342, + 353, + 276, + 273, + 335, + 424, + 292, + 325, + 307, + 366, + 447, + 345, + 271, + 303, + 302, + 423, + 266, + 371, + 294, + 455, + 460, + 279, + 278, + 294, + 271, + 272, + 304, + 432, + 434, + 427, + 272, + 407, + 408, + 394, + 430, + 431, + 395, + 369, + 400, + 334, + 333, + 299, + 351, + 417, + 168, + 352, + 280, + 411, + 325, + 319, + 320, + 295, + 296, + 336, + 319, + 403, + 404, + 330, + 348, + 349, + 293, + 298, + 333, + 323, + 454, + 447, + 15, + 16, + 315, + 358, + 429, + 279, + 14, + 15, + 316, + 285, + 336, + 9, + 329, + 349, + 350, + 374, + 380, + 252, + 318, + 402, + 403, + 6, + 197, + 419, + 318, + 319, + 325, + 367, + 364, + 365, + 435, + 367, + 397, + 344, + 438, + 439, + 272, + 271, + 311, + 195, + 5, + 281, + 273, + 287, + 291, + 396, + 428, + 199, + 311, + 271, + 268, + 283, + 444, + 445, + 373, + 254, + 339, + 263, + 466, + 249, + 282, + 334, + 296, + 449, + 347, + 346, + 264, + 447, + 454, + 336, + 296, + 299, + 338, + 10, + 151, + 278, + 439, + 455, + 292, + 407, + 415, + 358, + 371, + 355, + 340, + 345, + 372, + 390, + 249, + 466, + 346, + 347, + 280, + 442, + 443, + 282, + 19, + 94, + 370, + 441, + 442, + 295, + 248, + 419, + 197, + 263, + 255, + 359, + 440, + 275, + 274, + 300, + 383, + 368, + 351, + 412, + 465, + 263, + 467, + 466, + 301, + 368, + 389, + 380, + 374, + 386, + 395, + 378, + 379, + 412, + 351, + 419, + 436, + 426, + 322, + 373, + 390, + 388, + 2, + 164, + 393, + 370, + 462, + 461, + 164, + 0, + 267, + 302, + 11, + 12, + 374, + 373, + 387, + 268, + 12, + 13, + 293, + 300, + 301, + 446, + 261, + 340, + 385, + 384, + 381, + 330, + 266, + 425, + 426, + 423, + 391, + 429, + 355, + 437, + 391, + 327, + 326, + 440, + 457, + 438, + 341, + 382, + 362, + 459, + 457, + 461, + 434, + 430, + 394, + 414, + 463, + 362, + 396, + 369, + 262, + 354, + 461, + 457, + 316, + 403, + 402, + 315, + 404, + 403, + 314, + 405, + 404, + 313, + 406, + 405, + 421, + 418, + 406, + 366, + 401, + 361, + 306, + 408, + 407, + 291, + 409, + 408, + 287, + 410, + 409, + 432, + 436, + 410, + 434, + 416, + 411, + 264, + 368, + 383, + 309, + 438, + 457, + 352, + 376, + 401, + 274, + 275, + 4, + 421, + 428, + 262, + 294, + 327, + 358, + 433, + 416, + 367, + 289, + 455, + 439, + 462, + 370, + 326, + 2, + 326, + 370, + 305, + 460, + 455, + 254, + 449, + 448, + 255, + 261, + 446, + 253, + 450, + 449, + 252, + 451, + 450, + 256, + 452, + 451, + 341, + 453, + 452, + 413, + 464, + 463, + 441, + 413, + 414, + 258, + 442, + 441, + 257, + 443, + 442, + 259, + 444, + 443, + 260, + 445, + 444, + 467, + 342, + 445, + 459, + 458, + 250, + 289, + 392, + 290, + 290, + 328, + 460, + 376, + 433, + 435, + 250, + 290, + 392, + 411, + 416, + 433, + 341, + 463, + 464, + 453, + 464, + 465, + 357, + 465, + 412, + 343, + 412, + 399, + 360, + 363, + 440, + 437, + 399, + 456, + 420, + 456, + 363, + 401, + 435, + 288, + 372, + 383, + 353, + 339, + 255, + 249, + 448, + 261, + 255, + 133, + 243, + 190, + 133, + 155, + 112, + 33, + 246, + 247, + 33, + 130, + 25, + 398, + 384, + 286, + 362, + 398, + 414, + 362, + 463, + 341, + 263, + 359, + 467, + 263, + 249, + 255, + 466, + 467, + 260, + 75, + 60, + 166, + 238, + 239, + 79, + 162, + 127, + 139, + 72, + 11, + 37, + 121, + 232, + 120, + 73, + 72, + 39, + 114, + 128, + 47, + 233, + 232, + 128, + 103, + 104, + 67, + 152, + 175, + 148, + 173, + 157, + 155, + 119, + 118, + 101, + 74, + 73, + 40, + 107, + 9, + 108, + 49, + 48, + 131, + 32, + 194, + 211, + 184, + 74, + 185, + 191, + 80, + 183, + 185, + 40, + 186, + 119, + 230, + 118, + 210, + 202, + 214, + 84, + 83, + 17, + 77, + 76, + 146, + 161, + 160, + 30, + 190, + 56, + 173, + 182, + 106, + 194, + 138, + 135, + 192, + 129, + 203, + 98, + 54, + 21, + 68, + 5, + 51, + 4, + 145, + 144, + 23, + 90, + 77, + 91, + 207, + 205, + 187, + 83, + 201, + 18, + 181, + 91, + 182, + 180, + 90, + 181, + 16, + 85, + 17, + 205, + 206, + 36, + 176, + 148, + 140, + 165, + 92, + 39, + 245, + 193, + 244, + 27, + 159, + 28, + 30, + 247, + 161, + 174, + 236, + 196, + 103, + 54, + 104, + 55, + 193, + 8, + 111, + 117, + 31, + 221, + 189, + 55, + 240, + 98, + 99, + 142, + 126, + 100, + 219, + 166, + 218, + 112, + 155, + 26, + 198, + 209, + 131, + 169, + 135, + 150, + 114, + 47, + 217, + 224, + 223, + 53, + 220, + 45, + 134, + 32, + 211, + 140, + 109, + 67, + 108, + 146, + 43, + 91, + 231, + 230, + 120, + 113, + 226, + 247, + 105, + 63, + 52, + 241, + 238, + 242, + 124, + 46, + 156, + 95, + 78, + 96, + 70, + 46, + 63, + 116, + 143, + 227, + 116, + 123, + 111, + 1, + 44, + 19, + 3, + 236, + 51, + 207, + 216, + 205, + 26, + 154, + 22, + 165, + 39, + 167, + 199, + 200, + 208, + 101, + 36, + 100, + 43, + 57, + 202, + 242, + 20, + 99, + 56, + 28, + 157, + 124, + 35, + 113, + 29, + 160, + 27, + 211, + 204, + 210, + 124, + 113, + 46, + 106, + 43, + 204, + 96, + 62, + 77, + 227, + 137, + 116, + 73, + 41, + 72, + 36, + 203, + 142, + 235, + 64, + 240, + 48, + 49, + 64, + 42, + 41, + 74, + 214, + 212, + 207, + 183, + 42, + 184, + 210, + 169, + 211, + 140, + 170, + 176, + 104, + 105, + 69, + 193, + 122, + 168, + 50, + 123, + 187, + 89, + 96, + 90, + 66, + 65, + 107, + 179, + 89, + 180, + 119, + 101, + 120, + 68, + 63, + 104, + 234, + 93, + 227, + 16, + 15, + 85, + 209, + 129, + 49, + 15, + 14, + 86, + 107, + 55, + 9, + 120, + 100, + 121, + 153, + 145, + 22, + 178, + 88, + 179, + 197, + 6, + 196, + 89, + 88, + 96, + 135, + 138, + 136, + 138, + 215, + 172, + 218, + 115, + 219, + 41, + 42, + 81, + 5, + 195, + 51, + 57, + 43, + 61, + 208, + 171, + 199, + 41, + 81, + 38, + 224, + 53, + 225, + 24, + 144, + 110, + 105, + 52, + 66, + 118, + 229, + 117, + 227, + 34, + 234, + 66, + 107, + 69, + 10, + 109, + 151, + 219, + 48, + 235, + 183, + 62, + 191, + 142, + 129, + 126, + 116, + 111, + 143, + 7, + 163, + 246, + 118, + 117, + 50, + 223, + 222, + 52, + 94, + 19, + 141, + 222, + 221, + 65, + 196, + 3, + 197, + 45, + 220, + 44, + 156, + 70, + 139, + 188, + 122, + 245, + 139, + 71, + 162, + 145, + 153, + 159, + 149, + 170, + 150, + 122, + 188, + 196, + 206, + 216, + 92, + 163, + 144, + 161, + 164, + 2, + 167, + 242, + 141, + 241, + 0, + 164, + 37, + 11, + 72, + 12, + 144, + 145, + 160, + 12, + 38, + 13, + 70, + 63, + 71, + 31, + 226, + 111, + 157, + 158, + 154, + 36, + 101, + 205, + 203, + 206, + 165, + 126, + 209, + 217, + 98, + 165, + 97, + 237, + 220, + 218, + 237, + 239, + 241, + 210, + 214, + 169, + 140, + 171, + 32, + 241, + 125, + 237, + 179, + 86, + 178, + 180, + 85, + 179, + 181, + 84, + 180, + 182, + 83, + 181, + 194, + 201, + 182, + 177, + 137, + 132, + 184, + 76, + 183, + 185, + 61, + 184, + 186, + 57, + 185, + 216, + 212, + 186, + 192, + 214, + 187, + 139, + 34, + 156, + 218, + 79, + 237, + 147, + 123, + 177, + 45, + 44, + 4, + 208, + 201, + 32, + 98, + 64, + 129, + 192, + 213, + 138, + 235, + 59, + 219, + 141, + 242, + 97, + 97, + 2, + 141, + 240, + 75, + 235, + 229, + 24, + 228, + 31, + 25, + 226, + 230, + 23, + 229, + 231, + 22, + 230, + 232, + 26, + 231, + 233, + 112, + 232, + 244, + 189, + 243, + 189, + 221, + 190, + 222, + 28, + 221, + 223, + 27, + 222, + 224, + 29, + 223, + 225, + 30, + 224, + 113, + 247, + 225, + 99, + 60, + 240, + 213, + 147, + 215, + 60, + 20, + 166, + 192, + 187, + 213, + 243, + 112, + 244, + 244, + 233, + 245, + 245, + 128, + 188, + 188, + 114, + 174, + 134, + 131, + 220, + 174, + 217, + 236, + 236, + 198, + 134, + 215, + 177, + 58, + 156, + 143, + 124, + 25, + 110, + 7, + 31, + 228, + 25, + 264, + 356, + 368, + 0, + 11, + 267, + 451, + 452, + 349, + 267, + 302, + 269, + 350, + 357, + 277, + 350, + 452, + 357, + 299, + 333, + 297, + 396, + 175, + 377, + 381, + 384, + 382, + 280, + 347, + 330, + 269, + 303, + 270, + 151, + 9, + 337, + 344, + 278, + 360, + 424, + 418, + 431, + 270, + 304, + 409, + 272, + 310, + 407, + 322, + 270, + 410, + 449, + 450, + 347, + 432, + 422, + 434, + 18, + 313, + 17, + 291, + 306, + 375, + 259, + 387, + 260, + 424, + 335, + 418, + 434, + 364, + 416, + 391, + 423, + 327, + 301, + 251, + 298, + 275, + 281, + 4, + 254, + 373, + 253, + 375, + 307, + 321, + 280, + 425, + 411, + 200, + 421, + 18, + 335, + 321, + 406, + 321, + 320, + 405, + 314, + 315, + 17, + 423, + 426, + 266, + 396, + 377, + 369, + 270, + 322, + 269, + 413, + 417, + 464, + 385, + 386, + 258, + 248, + 456, + 419, + 298, + 284, + 333, + 168, + 417, + 8, + 448, + 346, + 261, + 417, + 413, + 285, + 326, + 327, + 328, + 277, + 355, + 329, + 309, + 392, + 438, + 381, + 382, + 256, + 279, + 429, + 360, + 365, + 364, + 379, + 355, + 277, + 437, + 282, + 443, + 283, + 281, + 275, + 363, + 395, + 431, + 369, + 299, + 297, + 337, + 335, + 273, + 321, + 348, + 450, + 349, + 359, + 446, + 467, + 283, + 293, + 282, + 250, + 458, + 462, + 300, + 276, + 383, + 292, + 308, + 325, + 283, + 276, + 293, + 264, + 372, + 447, + 346, + 352, + 340, + 354, + 274, + 19, + 363, + 456, + 281, + 426, + 436, + 425, + 380, + 381, + 252, + 267, + 269, + 393, + 421, + 200, + 428, + 371, + 266, + 329, + 432, + 287, + 422, + 290, + 250, + 328, + 385, + 258, + 384, + 446, + 265, + 342, + 386, + 387, + 257, + 422, + 424, + 430, + 445, + 342, + 276, + 422, + 273, + 424, + 306, + 292, + 307, + 352, + 366, + 345, + 268, + 271, + 302, + 358, + 423, + 371, + 327, + 294, + 460, + 331, + 279, + 294, + 303, + 271, + 304, + 436, + 432, + 427, + 304, + 272, + 408, + 395, + 394, + 431, + 378, + 395, + 400, + 296, + 334, + 299, + 6, + 351, + 168, + 376, + 352, + 411, + 307, + 325, + 320, + 285, + 295, + 336, + 320, + 319, + 404, + 329, + 330, + 349, + 334, + 293, + 333, + 366, + 323, + 447, + 316, + 15, + 315, + 331, + 358, + 279, + 317, + 14, + 316, + 8, + 285, + 9, + 277, + 329, + 350, + 253, + 374, + 252, + 319, + 318, + 403, + 351, + 6, + 419, + 324, + 318, + 325, + 397, + 367, + 365, + 288, + 435, + 397, + 278, + 344, + 439, + 310, + 272, + 311, + 248, + 195, + 281, + 375, + 273, + 291, + 175, + 396, + 199, + 312, + 311, + 268, + 276, + 283, + 445, + 390, + 373, + 339, + 295, + 282, + 296, + 448, + 449, + 346, + 356, + 264, + 454, + 337, + 336, + 299, + 337, + 338, + 151, + 294, + 278, + 455, + 308, + 292, + 415, + 429, + 358, + 355, + 265, + 340, + 372, + 388, + 390, + 466, + 352, + 346, + 280, + 295, + 442, + 282, + 354, + 19, + 370, + 285, + 441, + 295, + 195, + 248, + 197, + 457, + 440, + 274, + 301, + 300, + 368, + 417, + 351, + 465, + 251, + 301, + 389, + 385, + 380, + 386, + 394, + 395, + 379, + 399, + 412, + 419, + 410, + 436, + 322, + 387, + 373, + 388, + 326, + 2, + 393, + 354, + 370, + 461, + 393, + 164, + 267, + 268, + 302, + 12, + 386, + 374, + 387, + 312, + 268, + 13, + 298, + 293, + 301, + 265, + 446, + 340, + 380, + 385, + 381, + 280, + 330, + 425, + 322, + 426, + 391, + 420, + 429, + 437, + 393, + 391, + 326, + 344, + 440, + 438, + 458, + 459, + 461, + 364, + 434, + 394, + 428, + 396, + 262, + 274, + 354, + 457, + 317, + 316, + 402, + 316, + 315, + 403, + 315, + 314, + 404, + 314, + 313, + 405, + 313, + 421, + 406, + 323, + 366, + 361, + 292, + 306, + 407, + 306, + 291, + 408, + 291, + 287, + 409, + 287, + 432, + 410, + 427, + 434, + 411, + 372, + 264, + 383, + 459, + 309, + 457, + 366, + 352, + 401, + 1, + 274, + 4, + 418, + 421, + 262, + 331, + 294, + 358, + 435, + 433, + 367, + 392, + 289, + 439, + 328, + 462, + 326, + 94, + 2, + 370, + 289, + 305, + 455, + 339, + 254, + 448, + 359, + 255, + 446, + 254, + 253, + 449, + 253, + 252, + 450, + 252, + 256, + 451, + 256, + 341, + 452, + 414, + 413, + 463, + 286, + 441, + 414, + 286, + 258, + 441, + 258, + 257, + 442, + 257, + 259, + 443, + 259, + 260, + 444, + 260, + 467, + 445, + 309, + 459, + 250, + 305, + 289, + 290, + 305, + 290, + 460, + 401, + 376, + 435, + 309, + 250, + 392, + 376, + 411, + 433, + 453, + 341, + 464, + 357, + 453, + 465, + 343, + 357, + 412, + 437, + 343, + 399, + 344, + 360, + 440, + 420, + 437, + 456, + 360, + 420, + 363, + 361, + 401, + 288, + 265, + 372, + 353, + 390, + 339, + 249, + 339, + 448, + 255 +]; +var VTX68 = [ + /* cont */ + 127, + 234, + 132, + 58, + 172, + 150, + 149, + 148, + 152, + 377, + 378, + 379, + 397, + 288, + 361, + 454, + 356, + /* brows */ + 70, + 63, + 105, + 66, + 107, + 336, + 296, + 334, + 293, + 300, + /* nose */ + 168, + 6, + 195, + 4, + 98, + 97, + 2, + 326, + 327, + /* eyes */ + 33, + 160, + 158, + 133, + 153, + 144, + 362, + 385, + 387, + 263, + 373, + 380, + /* lip */ + 57, + 40, + 37, + 0, + 267, + 270, + 287, + 321, + 314, + 17, + 84, + 91, + /* mouth */ + 78, + 81, + 13, + 311, + 308, + 402, + 14, + 178 +]; +var VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152]; +var VTX7 = [33, 133, 362, 263, 1, 78, 308]; +var UV68 = VTX68.map((x) => UV468[x]); +var UV33 = VTX33.map((x) => UV468[x]); +var UV7 = VTX7.map((x) => UV468[x]); +function connectionsToIndices(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var pairsLips = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var pairsLeftEye = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var pairsLeftEyebrow = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var pairsLeftIris = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var pairsRightEye = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var pairsRightEyebrow = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var pairsRightIris = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var pairsFaceContour = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +var contourKeypoints = { + lips: connectionsToIndices(pairsLips), + leftEye: connectionsToIndices(pairsLeftEye), + leftEyebrow: connectionsToIndices(pairsLeftEyebrow), + leftIris: connectionsToIndices(pairsLeftIris), + rightEye: connectionsToIndices(pairsRightEye), + rightEyebrow: connectionsToIndices(pairsRightEyebrow), + rightIris: connectionsToIndices(pairsRightIris), + faceOval: connectionsToIndices(pairsFaceContour) +}; + +// src/face/constants.ts +var LIPS_CONNECTIONS = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var LEFT_EYE_CONNECTIONS = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var LEFT_EYEBROW_CONNECTIONS = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var LEFT_IRIS_CONNECTIONS = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var RIGHT_EYE_CONNECTIONS = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var RIGHT_EYEBROW_CONNECTIONS = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var RIGHT_IRIS_CONNECTIONS = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var FACE_OVAL_CONNECTIONS = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +function connectionsToIndices2(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = { + lips: connectionsToIndices2(LIPS_CONNECTIONS), + leftEye: connectionsToIndices2(LEFT_EYE_CONNECTIONS), + leftEyebrow: connectionsToIndices2(LEFT_EYEBROW_CONNECTIONS), + leftIris: connectionsToIndices2(LEFT_IRIS_CONNECTIONS), + rightEye: connectionsToIndices2(RIGHT_EYE_CONNECTIONS), + rightEyebrow: connectionsToIndices2(RIGHT_EYEBROW_CONNECTIONS), + rightIris: connectionsToIndices2(RIGHT_IRIS_CONNECTIONS), + faceOval: connectionsToIndices2(FACE_OVAL_CONNECTIONS) +}; +var indexLabelPairs = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR).map(([label, indices]) => indices.map((index2) => [index2, label])).flat(); +var MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs); +var LANDMARKS_REFINEMENT_LIPS_CONFIG = [ + 61, + 146, + 91, + 181, + 84, + 17, + 314, + 405, + 321, + 375, + 291, + // Lower outer. + 185, + 40, + 39, + 37, + 0, + 267, + 269, + 270, + 409, + // Upper outer(excluding corners). + 78, + 95, + 88, + 178, + 87, + 14, + 317, + 402, + 318, + 324, + 308, + // Lower inner. + 191, + 80, + 81, + 82, + 13, + 312, + 311, + 310, + 415, + // Upper inner(excluding corners). + 76, + 77, + 90, + 180, + 85, + 16, + 315, + 404, + 320, + 307, + 306, + // Lower semi - outer. + 184, + 74, + 73, + 72, + 11, + 302, + 303, + 304, + 408, + // Upper semi - outer(excluding corners). + 62, + 96, + 89, + 179, + 86, + 15, + 316, + 403, + 319, + 325, + 292, + // Lower semi - inner. + 183, + 42, + 41, + 38, + 12, + 268, + 271, + 272, + 407 + // Upper semi - inner(excluding corners). +]; +var LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [ + 33, + 7, + 163, + 144, + 145, + 153, + 154, + 155, + 133, + // Lower contour. + 246, + 161, + 160, + 159, + 158, + 157, + 173, + // upper contour (excluding corners). + 130, + 25, + 110, + 24, + 23, + 22, + 26, + 112, + 243, + // Halo x2 lower contour. + 247, + 30, + 29, + 27, + 28, + 56, + 190, + // Halo x2 upper contour (excluding corners). + 226, + 31, + 228, + 229, + 230, + 231, + 232, + 233, + 244, + // Halo x3 lower contour. + 113, + 225, + 224, + 223, + 222, + 221, + 189, + // Halo x3 upper contour (excluding corners). + 35, + 124, + 46, + 53, + 52, + 65, + // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour. + 143, + 111, + 117, + 118, + 119, + 120, + 121, + 128, + 245, + // Halo x5 lower contour. + 156, + 70, + 63, + 105, + 66, + 107, + 55, + 193 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; +var LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [ + 263, + 249, + 390, + 373, + 374, + 380, + 381, + 382, + 362, + // Lower contour. + 466, + 388, + 387, + 386, + 385, + 384, + 398, + // Upper contour (excluding corners). + 359, + 255, + 339, + 254, + 253, + 252, + 256, + 341, + 463, + // Halo x2 lower contour. + 467, + 260, + 259, + 257, + 258, + 286, + 414, + // Halo x2 upper contour (excluding corners). + 446, + 261, + 448, + 449, + 450, + 451, + 452, + 453, + 464, + // Halo x3 lower contour. + 342, + 445, + 444, + 443, + 442, + 441, + 413, + // Halo x3 upper contour (excluding corners). + 265, + 353, + 276, + 283, + 282, + 295, + // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour. + 372, + 340, + 346, + 347, + 348, + 349, + 350, + 357, + 465, + // Halo x5 lower contour. + 383, + 300, + 293, + 334, + 296, + 336, + 285, + 417 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; + +// src/draw/face.ts +var localOptions; +function drawLabels(f, ctx) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i; + if (!localOptions.drawLabels || ((_a = localOptions.faceLabels) == null ? void 0 : _a.length) === 0) + return; + let l = localOptions.faceLabels.slice(); + l = replace(l, "[id]", f.id.toFixed(0)); + if (f.score) + l = replace(l, "[score]", 100 * f.score); + if (f.gender) + l = replace(l, "[gender]", f.gender); + if (f.genderScore) + l = replace(l, "[genderScore]", 100 * f.genderScore); + if (f.age) + l = replace(l, "[age]", f.age); + if (f.distance) + l = replace(l, "[distance]", 100 * f.distance); + if (f.real) + l = replace(l, "[real]", 100 * f.real); + if (f.live) + l = replace(l, "[live]", 100 * f.live); + if (f.emotion && f.emotion.length > 0) { + const emotion2 = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`); + if (emotion2.length > 3) + emotion2.length = 3; + l = replace(l, "[emotions]", emotion2.join(" ")); + } + if ((_c = (_b = f.rotation) == null ? void 0 : _b.angle) == null ? void 0 : _c.roll) + l = replace(l, "[roll]", rad2deg(f.rotation.angle.roll)); + if ((_e = (_d = f.rotation) == null ? void 0 : _d.angle) == null ? void 0 : _e.yaw) + l = replace(l, "[yaw]", rad2deg(f.rotation.angle.yaw)); + if ((_g = (_f = f.rotation) == null ? void 0 : _f.angle) == null ? void 0 : _g.pitch) + l = replace(l, "[pitch]", rad2deg(f.rotation.angle.pitch)); + if ((_i = (_h = f.rotation) == null ? void 0 : _h.gaze) == null ? void 0 : _i.bearing) + l = replace(l, "[gaze]", rad2deg(f.rotation.gaze.bearing)); + labels(ctx, l, f.box[0], f.box[1], localOptions); +} +function drawIrisElipse(f, ctx) { + var _a, _b, _c, _d; + if (((_a = f.annotations) == null ? void 0 : _a.leftEyeIris) && ((_b = f.annotations) == null ? void 0 : _b.leftEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } + if (((_c = f.annotations) == null ? void 0 : _c.rightEyeIris) && ((_d = f.annotations) == null ? void 0 : _d.rightEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } +} +function drawGazeSpheres(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.angle) && typeof Path2D !== "undefined") { + ctx.strokeStyle = "pink"; + const valX = f.box[0] + f.box[2] / 2 - f.box[3] * rad2deg(f.rotation.angle.yaw) / 90; + const valY = f.box[1] + f.box[3] / 2 + f.box[2] * rad2deg(f.rotation.angle.pitch) / 90; + const pathV = new Path2D(` + M ${f.box[0] + f.box[2] / 2} ${f.box[1]} C - ${o} ${e.box[1]}, - ${o} ${e.box[1]+e.box[3]}, - ${e.box[0]+e.box[2]/2} ${e.box[1]+e.box[3]} - `),A=new Path2D(` - M ${e.box[0]} ${e.box[1]+e.box[3]/2} + ${valX} ${f.box[1]}, + ${valX} ${f.box[1] + f.box[3]}, + ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]} + `); + const pathH = new Path2D(` + M ${f.box[0]} ${f.box[1] + f.box[3] / 2} C - ${e.box[0]} ${r}, - ${e.box[0]+e.box[2]} ${r}, - ${e.box[0]+e.box[2]} ${e.box[1]+e.box[3]/2} - `);t.stroke(A),t.stroke(s)}}function Vs(e,t){var n;if(q.drawGaze&&((n=e.rotation)!=null&&n.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let o=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];o5(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[o[0],o[1]],4);let r=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];o5(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[r[0],r[1]],4)}}function Zs(e,t){if(q.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let n=0;n<$e.length/3;n++){let o=[$e[n*3+0],$e[n*3+1],$e[n*3+2]].map(r=>e.mesh[r]);n5(t,o,q)}Hs(e,t)}}function Xs(e,t){if(q.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let n=0;n0&&(Xs(r,o),Zs(r,o),Gs(r,o),Vs(r,o))}}function _2(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round";for(let a=0;a0)){let l=o.bodyLabels.slice();l=Y(l,"[id]",t[a].id.toFixed(0)),l=Y(l,"[score]",100*t[a].score),re(r,l,t[a].box[0],t[a].box[1],o)}if(o.drawPoints&&t[a].keypoints)for(let l=0;l0&&t[a].keypoints){r.font=o.font;for(let l of t[a].keypoints){if(!l.score||l.score===0)continue;let c=o.bodyPartLabels.slice();c=Y(c,"[label]",l.part),c=Y(c,"[score]",100*l.score),re(r,c,l.position[0],l.position[1],o)}}if(o.drawPolygons&&t[a].keypoints&&t[a].annotations)for(let l of Object.values(t[a].annotations))for(let c of l)K1(r,c,o)}}}function $2(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let a of t){if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,a.box[0],a.box[1],a.box[2],a.box[3],o),o.drawLabels&&((s=o.handLabels)==null?void 0:s.length)>0){let l=o.handLabels.slice();l=Y(l,"[id]",a.id.toFixed(0)),l=Y(l,"[label]",a.label),l=Y(l,"[score]",100*a.score),re(r,l,a.box[0],a.box[1],o)}r.stroke()}if(o.drawPoints&&a.keypoints&&a.keypoints.length>0)for(let l of a.keypoints)r.fillStyle=Qe(l[2],o),he(r,l[0],l[1],0,o);if(o.drawLabels&&a.annotations&&((A=o.fingerLabels)==null?void 0:A.length)>0)for(let[l,c]of Object.entries(a.annotations)){let x=o.fingerLabels.slice();x=Y(x,"[label]",l),re(r,x,c[c.length-1][0],c[c.length-1][1],o)}if(o.drawPolygons&&a.annotations){let l=c=>{if(!(!c||c.length===0||!c[0]))for(let x=0;x0?x-1:0][0],c[x>0?x-1:0][1]),r.lineTo(c[x][0],c[x][1]),r.stroke()}};r.lineWidth=o.lineWidth,l(a.annotations.index),l(a.annotations.middle),l(a.annotations.ring),l(a.annotations.pinky),l(a.annotations.thumb)}}}}function et(e,t,n){var s;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let A of t)if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,A.box[0],A.box[1],A.box[2],A.box[3],o),o.drawLabels&&((s=o.objectLabels)==null?void 0:s.length)>0){let a=o.objectLabels.slice();a=Y(a,"[id]",A.id.toFixed(0)),a=Y(a,"[label]",A.label),a=Y(a,"[score]",100*A.score),re(r,a,A.box[0],A.box[1],o)}r.stroke()}}}function tt(e,t,n){var r;let o=a0(f0,n);if(!(!t||!e)&&o.drawGestures&&((r=o.gestureLabels)==null?void 0:r.length)>0){let s=oe(e);if(!s)return;s.font=o.font,s.fillStyle=o.color;let A=1;for(let a=0;a1&&c[1].length>0){let x=l[1]>0?`#${l[1]}`:"",i=o.gestureLabels.slice();i=Y(i,"[where]",l[0]),i=Y(i,"[who]",x),i=Y(i,"[what]",c[1]),re(s,i,8,2+A*o.lineHeight,o),A+=1}}}}var Ne={face:`face + ${f.box[0]} ${valY}, + ${f.box[0] + f.box[2]} ${valY}, + ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2} + `); + ctx.stroke(pathH); + ctx.stroke(pathV); + } +} +function drawGazeArrows(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.gaze.strength) && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) { + ctx.strokeStyle = "pink"; + ctx.fillStyle = "pink"; + const leftGaze = [ + f.annotations.leftEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.leftEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4); + const rightGaze = [ + f.annotations.rightEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.rightEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4); + } +} +function drawFacePolygons(f, ctx) { + if (localOptions.drawPolygons && f.mesh.length >= 468) { + ctx.lineWidth = 1; + for (let i = 0; i < TRI468.length / 3; i++) { + const points = [TRI468[i * 3 + 0], TRI468[i * 3 + 1], TRI468[i * 3 + 2]].map((index2) => f.mesh[index2]); + lines(ctx, points, localOptions); + } + drawIrisElipse(f, ctx); + } +} +function drawFacePoints(f, ctx) { + if (localOptions.drawPoints) { + if ((f == null ? void 0 : f.mesh.length) >= 468) { + for (let i = 0; i < f.mesh.length; i++) { + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions); + if (localOptions.drawAttention) { + if (LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] + 127, localOptions); + if (LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + if (LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + } + } + } else { + for (const [k, v] of Object.entries((f == null ? void 0 : f.annotations) || {})) { + if (!(v == null ? void 0 : v[0])) + continue; + const pt = v[0]; + point(ctx, pt[0], pt[1], 0, localOptions); + if (localOptions.drawLabels) + labels(ctx, k, pt[0], pt[1], localOptions); + } + } + } +} +function drawFaceBoxes(f, ctx) { + if (localOptions.drawBoxes) { + rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions); + } +} +function face(inCanvas2, result, drawOptions) { + localOptions = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions.font; + ctx.strokeStyle = localOptions.color; + ctx.fillStyle = localOptions.color; + for (const f of result) { + drawFaceBoxes(f, ctx); + drawLabels(f, ctx); + if (f.mesh && f.mesh.length > 0) { + drawFacePoints(f, ctx); + drawFacePolygons(f, ctx); + drawGazeSpheres(f, ctx); + drawGazeArrows(f, ctx); + } + } +} + +// src/draw/body.ts +function body(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + for (let i = 0; i < result.length; i++) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + ctx.lineWidth = localOptions2.lineWidth; + ctx.font = localOptions2.font; + if (localOptions2.drawBoxes && result[i].box && result[i].box.length === 4) { + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.bodyLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.bodyLabels.slice(); + l = replace(l, "[id]", result[i].id.toFixed(0)); + l = replace(l, "[score]", 100 * result[i].score); + labels(ctx, l, result[i].box[0], result[i].box[1], localOptions2); + } + } + if (localOptions2.drawPoints && result[i].keypoints) { + for (let pt = 0; pt < result[i].keypoints.length; pt++) { + if (!result[i].keypoints[pt].score || result[i].keypoints[pt].score === 0) + continue; + ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions2); + point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions2); + } + } + if (localOptions2.drawLabels && ((_b = localOptions2.bodyPartLabels) == null ? void 0 : _b.length) > 0 && result[i].keypoints) { + ctx.font = localOptions2.font; + for (const pt of result[i].keypoints) { + if (!pt.score || pt.score === 0) + continue; + let l = localOptions2.bodyPartLabels.slice(); + l = replace(l, "[label]", pt.part); + l = replace(l, "[score]", 100 * pt.score); + labels(ctx, l, pt.position[0], pt.position[1], localOptions2); + } + } + if (localOptions2.drawPolygons && result[i].keypoints && result[i].annotations) { + for (const part of Object.values(result[i].annotations)) { + for (const connected4 of part) + curves(ctx, connected4, localOptions2); + } + } + } +} + +// src/draw/hand.ts +function hand(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.handLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.handLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + if (localOptions2.drawPoints) { + if (h.keypoints && h.keypoints.length > 0) { + for (const pt of h.keypoints) { + ctx.fillStyle = colorDepth(pt[2], localOptions2); + point(ctx, pt[0], pt[1], 0, localOptions2); + } + } + } + if (localOptions2.drawLabels && h.annotations && ((_b = localOptions2.fingerLabels) == null ? void 0 : _b.length) > 0) { + for (const [part, pt] of Object.entries(h.annotations)) { + let l = localOptions2.fingerLabels.slice(); + l = replace(l, "[label]", part); + labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions2); + } + } + if (localOptions2.drawPolygons && h.annotations) { + const addHandLine = (part) => { + if (!part || part.length === 0 || !part[0]) + return; + for (let i = 0; i < part.length; i++) { + ctx.beginPath(); + const z = part[i][2] || 0; + ctx.strokeStyle = colorDepth(i * z, localOptions2); + ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]); + ctx.lineTo(part[i][0], part[i][1]); + ctx.stroke(); + } + }; + ctx.lineWidth = localOptions2.lineWidth; + addHandLine(h.annotations.index); + addHandLine(h.annotations.middle); + addHandLine(h.annotations.ring); + addHandLine(h.annotations.pinky); + addHandLine(h.annotations.thumb); + } + } +} + +// src/draw/object.ts +function object(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.objectLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.objectLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + } +} + +// src/draw/gesture.ts +function gesture(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + if (localOptions2.drawGestures && ((_a = localOptions2.gestureLabels) == null ? void 0 : _a.length) > 0) { + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions2.font; + ctx.fillStyle = localOptions2.color; + let i = 1; + for (let j = 0; j < result.length; j++) { + const [where, what] = Object.entries(result[j]); + if (what.length > 1 && what[1].length > 0) { + const who = where[1] > 0 ? `#${where[1]}` : ""; + let l = localOptions2.gestureLabels.slice(); + l = replace(l, "[where]", where[0]); + l = replace(l, "[who]", who); + l = replace(l, "[what]", what[1]); + labels(ctx, l, 8, 2 + i * localOptions2.lineHeight, localOptions2); + i += 1; + } + } + } +} + +// src/draw/labels.ts +var defaultLabels = { + face: `face confidence: [score]% [gender] [genderScore]% age: [age] years @@ -118,7 +6614,7715 @@ live: [live]% [emotions] roll: [roll]\xB0 yaw:[yaw]\xB0 pitch:[pitch]\xB0 - gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var a5=0;function Us(e,t,n){let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let s=0;sc5,kpt:()=>l5});var l5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],c5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var D=G(H());var se,n2=224,_1,Js=5,rt=[8,16,32,32,32];function Qs(){let e=[],t=0;for(;tn.x)),y:D.tensor1d(e.map(n=>n.y))}}async function $1(e){if(R.initial&&(se=null),!se&&e.body.detector&&e.body.detector.modelPath){se=await L(e.body.detector.modelPath);let t=se!=null&&se.executor?Object.values(se.modelSignature.inputs):void 0;n2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&se&&h("cached model:",se.modelUrl);return Qs(),se}var Q1=[5,5];function _s(e,t){return D.tidy(()=>{let n=D.split(e,12,1),o=D.squeeze(n[0]),r=D.squeeze(n[1]),s=D.squeeze(n[2]),A=D.squeeze(n[3]);o=D.add(D.div(o,n2),t.x),r=D.add(D.div(r,n2),t.y),s=D.mul(D.div(s,n2),Q1[0]),A=D.mul(D.div(A,n2),Q1[1]);let a=D.sub(o,D.div(s,2)),l=D.sub(r,D.div(A,2)),c=D.add(a,s),x=D.add(l,A);return D.stack([a,l,c,x],1)})}async function $s(e,t,n,o){var c,x;let r=[],s={};s.boxes=_s(e,_1),s.scores=D.sigmoid(t),s.nms=await D.image.nonMaxSuppressionAsync(s.boxes,s.scores,1,((c=n.body.detector)==null?void 0:c.minConfidence)||.1,((x=n.body.detector)==null?void 0:x.iouThreshold)||.1);let A=await s.nms.data(),a=await s.scores.data(),l=await s.boxes.array();for(let i of Array.from(A)){let f=a[i],d=l[i],m=[Math.round(d[0]*o[0]),Math.round(d[1]*o[1]),Math.round(d[2]*o[0]),Math.round(d[3]*o[1])],y={score:f,boxRaw:d,box:m};r.push(y)}return Object.keys(s).forEach(i=>D.dispose(s[i])),r}async function e3(e,t,n){let o={};o.res=se==null?void 0:se.execute(e,["Identity"]),o.logitsRaw=D.slice(o.res,[0,0,0],[1,-1,1]),o.boxesRaw=D.slice(o.res,[0,0,1],[1,-1,-1]),o.logits=D.squeeze(o.logitsRaw),o.boxes=D.squeeze(o.boxesRaw);let r=await $s(o.boxes,o.logits,t,n);return Object.keys(o).forEach(s=>D.dispose(o[s])),r}function Le(e,t=[1,1]){let n=[e.map(a=>a[0]),e.map(a=>a[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[o[0],o[1],r[0]-o[0],r[1]-o[1]],A=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:A}}function t3(e,t=[1,1]){let n=[e.map(c=>c[0]),e.map(c=>c[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[(o[0]+r[0])/2,(o[1]+r[1])/2],A=Math.max(s[0]-o[0],s[1]-o[1],-s[0]+r[0],-s[1]+r[1]),a=[Math.trunc(s[0]-A),Math.trunc(s[1]-A),Math.trunc(2*A),Math.trunc(2*A)],l=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:l}}function st(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var Z0,x5=256,d5=Number.MAX_SAFE_INTEGER,eA={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},at=[],Oe=[[0,0],[0,0],[0,0],[0,0]],n3=0,o3=e=>1-1/(1+Math.exp(e)),s3=e=>$1(e);async function A3(e){if(R.initial&&(Z0=null),Z0)e.debug&&h("cached model:",Z0.modelUrl);else{Z0=await L(e.body.modelPath);let t=Z0!=null&&Z0.executor?Object.values(Z0.modelSignature.inputs):void 0;x5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return Z0}function r3(e,t,n){var s,A;let o={};if(!((s=e==null?void 0:e.shape)!=null&&s[1])||!((A=e==null?void 0:e.shape)!=null&&A[2]))return e;let r;if(n&&(o.cropped=X0.image.cropAndResize(e,[n],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let a=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],l=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];Oe=[[0,0],a,l,[0,0]],o.pad=X0.pad(o.cropped||e,Oe),o.resize=X0.image.resizeBilinear(o.pad,[t,t]),r=X0.div(o.resize,C.tf255)}else e.shape[1]!==t?(o.resize=X0.image.resizeBilinear(o.cropped||e,[t,t]),r=X0.div(o.resize,C.tf255)):r=X0.div(o.cropped||e,C.tf255);return Object.keys(o).forEach(a=>X0.dispose(o[a])),r}function tA(e,t,n){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+Oe[2][0]+Oe[2][1])/t[0]-Oe[2][0]),Math.trunc(o.position[1]*(t[1]+Oe[1][0]+Oe[1][1])/t[1]-Oe[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(n){let o=n[2]-n[0],r=n[3]-n[1];for(let s of e)s.positionRaw=[s.positionRaw[0]/r+n[1],s.positionRaw[1]/o+n[0],s.positionRaw[2]],s.position=[Math.trunc(s.positionRaw[0]*t[0]),Math.trunc(s.positionRaw[1]*t[1]),s.positionRaw[2]]}return e}function nA(e){let t=e.find(a=>a.part==="leftPalm"),n=e.find(a=>a.part==="leftWrist"),o=e.find(a=>a.part==="leftIndex");t.position[2]=((n.position[2]||0)+(o.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),s=e.find(a=>a.part==="rightWrist"),A=e.find(a=>a.part==="rightIndex");r.position[2]=((s.position[2]||0)+(A.position[2]||0))/2}async function oA(e,t,n){if(!(Z0!=null&&Z0.executor))return null;let o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=Z0==null?void 0:Z0.execute(e,eA.landmarks);let r=(await o.poseflag.data())[0],s=await o.ld.data(),A=await o.world.data();Object.keys(o).forEach(m=>X0.dispose(o[m]));let a=[],l=5;for(let m=0;mm.position),i=Le(x,[n[0],n[1]]),f={};for(let[m,y]of Object.entries(c5)){let u=[];for(let T=0;Tb.part===y[T]),p=c.find(b=>b.part===y[T+1]);g&&p&&u.push([g.position,p.position])}f[m]=u}return{id:0,score:Math.trunc(100*r)/100,box:i.box,boxRaw:i.boxRaw,keypoints:c,annotations:f}}async function y5(e,t){var s,A,a;let n=[e.shape[2]||0,e.shape[1]||0],o=(t.body.skipTime||0)>v()-n3,r=d5<(t.body.skipFrames||0);if(t.skipAllowed&&o&&r&&at!==null)d5++;else{let l=[];if((A=(s=t.body)==null?void 0:s.detector)!=null&&A.enabled){let c=r3(e,224);l=await e3(c,t,n),X0.dispose(c)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let c=0;cF0.dispose(o[c])),r}async function p5(e,t){if(!(q0!=null&&q0.executor))return[];let n=(t.object.skipTime||0)>v()-i3,o=m5<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&f5.length>0?(m5++,f5):(m5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=F0.image.resizeBilinear(e,[o2,o2]),a=t.object.enabled?q0==null?void 0:q0.execute(A,["tower_0/detections"]):null;i3=v(),F0.dispose(A);let l=await rA(a,s,t);f5=l,r(l)}))}var J=G(H());var it={};ze(it,{connected:()=>h5,kpt:()=>u5});var u5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],h5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var i0,d3=0,B0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},b5=Number.MAX_SAFE_INTEGER;async function x3(e){return R.initial&&(i0=null),i0?e.debug&&h("cached model:",i0.modelUrl):i0=await L(e.body.modelPath),i0}async function sA(e,t){let[n,o]=e.shape,r=J.reshape(e,[o*n]),s=J.max(r,0),A=(await s.data())[0];if(A>t){let a=J.argMax(r,0),l=J.mod(a,n),c=(await l.data())[0],x=J.div(a,n),i=(await x.data())[0];return J.dispose([r,s,a,l,x]),[c,i,A]}return J.dispose([r,s]),[0,0,A]}async function g5(e,t){if(!(i0!=null&&i0.executor)||!(i0!=null&&i0.inputs[0].shape))return[];let n=(t.body.skipTime||0)>v()-d3,o=b5<(t.body.skipFrames||0);return t.skipAllowed&&n&&o&&Object.keys(B0.keypoints).length>0?(b5++,[B0]):(b5=0,new Promise(async r=>{let s=J.tidy(()=>{var m,y;let i=J.image.resizeBilinear(e,[((m=i0==null?void 0:i0.inputs[0].shape)==null?void 0:m[2])||0,((y=i0==null?void 0:i0.inputs[0].shape)==null?void 0:y[1])||0],!1),f=J.mul(i,C.tf2);return J.sub(f,C.tf1)}),A;if(t.body.enabled&&(A=i0==null?void 0:i0.execute(s)),d3=v(),J.dispose(s),A){B0.keypoints.length=0;let i=J.squeeze(A);J.dispose(A);let f=J.unstack(i,2);J.dispose(i);for(let d=0;d(t.body.minConfidence||0)&&B0.keypoints.push({score:Math.round(100*u)/100,part:u5[d],positionRaw:[m/i0.inputs[0].shape[2],y/i0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/i0.inputs[0].shape[2]),Math.round(e.shape[1]*y/i0.inputs[0].shape[1])]})}f.forEach(d=>J.dispose(d))}B0.score=B0.keypoints.reduce((i,f)=>f.score>i?f.score:i,0);let a=B0.keypoints.map(i=>i.position[0]),l=B0.keypoints.map(i=>i.position[1]);B0.box=[Math.min(...a),Math.min(...l),Math.max(...a)-Math.min(...a),Math.max(...l)-Math.min(...l)];let c=B0.keypoints.map(i=>i.positionRaw[0]),x=B0.keypoints.map(i=>i.positionRaw[1]);B0.boxRaw=[Math.min(...c),Math.min(...x),Math.max(...c)-Math.min(...c),Math.max(...x)-Math.min(...x)];for(let[i,f]of Object.entries(h5)){let d=[];for(let m=0;mT.part===f[m]),u=B0.keypoints.find(T=>T.part===f[m+1]);y&&u&&y.score>(t.body.minConfidence||0)&&u.score>(t.body.minConfidence||0)&&d.push([y.position,u.position])}B0.annotations[i]=d}r([B0])}))}var l0=G(H());var De=G(H());var O=G(H());var Me=G(H());var p2=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],lt=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],ct=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],dt=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],p3=(e,t,n)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],s=e.landmarks.map(A=>[(A[0]+n[0])*t[0],(A[1]+n[1])*t[1]]);return{startPoint:o,endPoint:r,landmarks:s,confidence:e.confidence}},T5=(e,t,n)=>{let o=t.shape[1],r=t.shape[2],s=[e.startPoint[1]/o,e.startPoint[0]/r,e.endPoint[1]/o,e.endPoint[0]/r],A=Me.image.cropAndResize(t,[s],[0],n),a=Me.div(A,C.tf255);return Me.dispose(A),a},xt=(e,t)=>{let n=lt(e),o=p2(e),r=[t*o[0]/2,t*o[1]/2];return{startPoint:[n[0]-r[0],n[1]-r[1]],endPoint:[n[0]+r[0],n[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence,size:o}},yt=e=>{let t=lt(e),n=p2(e),o=Math.max(...n)/2;return{startPoint:[Math.round(t[0]-o),Math.round(t[1]-o)],endPoint:[Math.round(t[0]+o),Math.round(t[1]+o)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(n[0]),Math.round(n[1])]}},u3=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return{startPoint:[Math.min(...t),Math.min(...n)],endPoint:[Math.max(...t),Math.max(...n)],landmarks:e}},v5=[[1,0,0],[0,1,0],[0,0,1]],AA=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),aA=(e,t)=>AA(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var f3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],r2=(e,t)=>{let n=0;for(let o=0;o{let n=[];for(let o=0;o{let n=[],o=e.length;for(let r=0;r{let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=f3(t[0],t[1]),A=m3(s,r),a=f3(-t[0],-t[1]);return m3(A,a)},lA=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-r2(t[0],n),-r2(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]},cA=(e,t)=>[r2(e,t[0]),r2(e,t[1])];function b3(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o[s[0]/r*(d[0]-r/2),s[1]/r*(d[1]-r/2),d[2]||0]),a=n&&n!==0&&Math.abs(n)>.2,l=a?h3(n,[0,0]):v5,c=a?A.map(d=>[...cA(d,l),d[2]]):A,x=a?lA(o):v5,i=lt(t),f=[r2(i,x[0]),r2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2]||0)])}function T3(e,t,n,o){let r=t.landmarks.length>=r5.count?r5.symmetryLine:_e.symmetryLine,s=0,A=v5,a;if(e&&R.kernels.includes("rotatewithoffset"))if(s=aA(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let c=lt(t),x=[c[0]/n.shape[2],c[1]/n.shape[1]],i=Me.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=h3(-s,c),a=T5(t,i,[o,o]),Me.dispose(i)}else a=T5(t,n,[o,o]);else a=T5(t,n,[o,o]);return[s,A,a]}var dA=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},v3=(e,t)=>{let n=dA(e),o=p2(t);return{startPoint:[n[0]-o[0]/2,n[1]-o[1]/2],endPoint:[n[0]+o[0]/2,n[1]+o[1]/2]}};var R3=6,xA=1.4,xe,ft=null,Ce=0,u2=null,M3=()=>Ce;async function P3(e){var t;return R.initial&&(xe=null),xe?e.debug&&h("cached model:",xe.modelUrl):xe=await L((t=e.face.detector)==null?void 0:t.modelPath),Ce=xe.executor&&xe.inputs[0].shape?xe.inputs[0].shape[2]:256,u2=O.scalar(Ce,"int32"),ft=O.tensor2d(b3(Ce)),xe}function yA(e){if(!ft||!u2)return O.zeros([0,0]);let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,ft),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,u2),t.centersNormalized=O.div(t.centers,u2),t.halfBoxSize=O.div(t.boxSizesNormalized,C.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,u2),t.endNormalized=O.mul(t.ends,u2);let n=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>O.dispose(t[o])),n}async function k3(e,t){var a,l,c,x,i,f;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=O.image.resizeBilinear(e,[Ce,Ce]),n.div=O.div(n.resized,C.tf127),n.normalized=O.sub(n.div,C.tf05);let o=xe==null?void 0:xe.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let d=o.sort((m,y)=>m.size-y.size);n.concat384=O.concat([d[0],d[2]],2),n.concat512=O.concat([d[1],d[3]],2),n.concat=O.concat([n.concat512,n.concat384],1),n.batch=O.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=O.squeeze(o[0]):n.batch=O.squeeze(o);O.dispose(o),n.boxes=yA(n.batch),n.logits=O.slice(n.batch,[0,0],[-1,1]),n.sigmoid=O.sigmoid(n.logits),n.scores=O.squeeze(n.sigmoid),n.nms=await O.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let d=0;d(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let y={};y.bbox=O.slice(n.boxes,[r[d],0],[1,-1]),y.slice=O.slice(n.batch,[r[d],R3-1],[1,-1]),y.squeeze=O.squeeze(y.slice),y.landmarks=O.reshape(y.squeeze,[R3,-1]);let u=await y.bbox.data(),T={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await y.landmarks.array(),confidence:m};y.anchor=O.slice(ft,[r[d],0],[1,2]);let g=await y.anchor.data(),p=p3(T,[(e.shape[2]||0)/Ce,(e.shape[1]||0)/Ce],g),b=xt(p,t.face.scale||xA),k=yt(b);k.size[0]>(((i=t.face.detector)==null?void 0:i.minSize)||0)&&k.size[1]>(((f=t.face.detector)==null?void 0:f.minSize)||0)&&s.push(k),Object.keys(y).forEach(P=>O.dispose(y[P]))}}return Object.keys(n).forEach(d=>O.dispose(n[d])),s}var ye=G(H());var K0,We=0,fA=2.3,M5=ae.leftEyeLower0,P5=ae.rightEyeLower0,h2={leftBounds:[M5[0],M5[M5.length-1]],rightBounds:[P5[0],P5[P5.length-1]]},b2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function j3(e){var t,n;return R.initial&&(K0=null),K0?e.debug&&h("cached model:",K0.modelUrl):K0=await L((t=e.face.iris)==null?void 0:t.modelPath),We=K0!=null&&K0.executor&&((n=K0.inputs)!=null&&n[0].shape)?K0.inputs[0].shape[2]:0,We===-1&&(We=64),K0}function mt(e,t,n,o){for(let r=0;r{let t=e[h2.leftBounds[0]][2],n=e[h2.rightBounds[0]][2];return t-n},E3=(e,t,n,o,r,s=!1)=>{let A=yt(xt(u3([e[n],e[o]]),fA)),a=p2(A),l=ye.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[We,We]);if(s&&R.kernels.includes("flipleftright")){let c=ye.image.flipLeftRight(l);ye.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},z3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s{let o=e[ae[`${n}EyeUpper0`][b2.upperCenter]][2],r=e[ae[`${n}EyeLower0`][b2.lowerCenter]][2],s=(o+r)/2;return t.map((A,a)=>{let l=s;return a===2?l=o:a===4&&(l=r),[A[0],A[1],l]})};async function I3(e,t,n){if(!(K0!=null&&K0.executor))return e;let{box:o,boxSize:r,crop:s}=E3(e,t,h2.leftBounds[0],h2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=E3(e,t,h2.rightBounds[0],h2.rightBounds[1],n,!0),c=ye.concat([s,l]);ye.dispose(s),ye.dispose(l);let x=K0.execute(c);ye.dispose(c);let i=await x.data();ye.dispose(x);let f=i.slice(0,b2.numCoordinates*3),{rawCoords:d,iris:m}=z3(f,o,r,!0),y=i.slice(b2.numCoordinates*3),{rawCoords:u,iris:T}=z3(y,A,a,!1),g=mA(e);Math.abs(g)<30?(mt(e,d,"left",null),mt(e,u,"right",null)):g<1?mt(e,d,"left",["EyeUpper0","EyeLower0"]):mt(e,u,"right",["EyeUpper0","EyeLower0"]);let p=S3(e,m,"left"),b=S3(e,T,"right");return e.concat(p).concat(b)}async function L3(e,t){var s,A,a,l,c,x,i,f,d,m;let n={lips:await((A=(s=t.filter(y=>y.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(y=>y.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(y=>y.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((f=(i=t.filter(y=>y.size===10))==null?void 0:i[1])==null?void 0:f.data()),eyeR:await((m=(d=t.filter(y=>y.size===142))==null?void 0:d[1])==null?void 0:m.data())};for(let y of Object.values(n))if(!y)return e;let o=e2.reduce((y,u)=>y+=e[u][2],0)/e2.length;for(let y=0;yy+=e[u][2],0)/t2.length;for(let y=0;yv()-ge.timestamp,o=ge.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||ge.boxes.length===0?(ge.boxes=await k3(e,t),ge.timestamp=v(),ge.skipped=0):ge.skipped++;let r=[],s=[],A=0,a=O2;for(let g=0;g[N[0]/(e.shape[2]||0),N[1]/(e.shape[1]||0),(N[2]||0)/a]);for(let N of Object.keys(_e))P.annotations[N]=[P.mesh[_e[N]]]}else if(!r0)t.debug&&h("face mesh detection requested, but model is not loaded");else{if((d=t.face.attention)!=null&&d.enabled&&!R.kernels.includes("atan2"))return t.face.attention.enabled=!1,De.dispose(P.tensor),r;let N=r0.execute(P.tensor),_=await N.find(Z=>Z.shape[Z.shape.length-1]===1).data();if(P.faceScore=Math.round(100*_[0])/100,P.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(p.confidence=P.faceScore,t.face.mesh.keepInvalid){P.box=ct(p,e),P.boxRaw=dt(p,e),P.score=P.boxScore,P.mesh=p.landmarks,P.meshRaw=P.mesh.map(Z=>[Z[0]/(e.shape[2]||1),Z[1]/(e.shape[1]||1),(Z[2]||0)/a]);for(let Z of Object.keys(_e))P.annotations[Z]=[P.mesh[_e[Z]]]}}else{let Z=N.find(t0=>t0.shape[t0.shape.length-1]===1404),$=De.reshape(Z,[-1,3]),A0=await $.array();De.dispose($),(y=t.face.attention)!=null&&y.enabled?A0=await L3(A0,N):(u=t.face.iris)!=null&&u.enabled&&(A0=await I3(A0,P.tensor,O2)),P.mesh=g3(A0,p,b,k,O2),P.meshRaw=P.mesh.map(t0=>[t0[0]/(e.shape[2]||0),t0[1]/(e.shape[1]||0),(t0[2]||0)/a]);for(let t0 of Object.keys(ae))P.annotations[t0]=ae[t0].map(j0=>P.mesh[j0]);P.score=P.faceScore;let n0={...v3(P.mesh,p),confidence:p.confidence,landmarks:p.landmarks,size:p.size};P.box=ct(n0,e),P.boxRaw=dt(n0,e),s.push(n0)}De.dispose(N)}P.score>(((T=t.face.detector)==null?void 0:T.minConfidence)||1)?r.push(P):De.dispose(P.tensor)}return ge.boxes=s,r}async function C3(e){var t,n,o,r,s,A;return R.initial&&(r0=null),(t=e.face.attention)!=null&&t.enabled&&(r0!=null&&r0.signature)&&Object.keys(((n=r0==null?void 0:r0.signature)==null?void 0:n.outputs)||{}).length<6&&(r0=null),r0?e.debug&&h("cached model:",r0.modelUrl):(o=e.face.attention)!=null&&o.enabled?r0=await L(e.face.attention.modelPath):r0=await L((r=e.face.mesh)==null?void 0:r.modelPath),O2=r0.executor&&((s=r0==null?void 0:r0.inputs)!=null&&s[0].shape)?(A=r0==null?void 0:r0.inputs)==null?void 0:A[0].shape[2]:256,r0}var W3=$e,D3=N2;var J0=G(H());var E5=[],P0,pt=[],F3=0,B3=0,w5=Number.MAX_SAFE_INTEGER,z5=!1;async function H3(e){var t,n,o;return R.initial&&(P0=null),P0?e.debug&&h("cached model:",P0.modelUrl):(P0=await L((t=e.face.emotion)==null?void 0:t.modelPath),z5=((o=(n=P0==null?void 0:P0.inputs)==null?void 0:n[0].shape)==null?void 0:o[3])===3,z5?E5=["angry","disgust","fear","happy","neutral","sad","surprise"]:E5=["angry","disgust","fear","happy","sad","surprise","neutral"]),P0}async function S5(e,t,n,o){var A,a;if(!P0)return[];let r=w5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>v()-B3;return t.skipAllowed&&s&&r&&F3===o&&pt[n]&&pt[n].length>0?(w5++,pt[n]):(w5=0,new Promise(async l=>{var x,i,f;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let d={},m=P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0;if(((i=t.face.emotion)==null?void 0:i.crop)>0){let u=(f=t.face.emotion)==null?void 0:f.crop,T=[[u,u,1-u,1-u]];d.resize=J0.image.cropAndResize(e,T,[0],[m,m])}else d.resize=J0.image.resizeBilinear(e,[m,m],!1);z5?(d.mul=J0.mul(d.resize,255),d.normalize=J0.sub(d.mul,[103.939,116.779,123.68]),d.emotion=P0==null?void 0:P0.execute(d.normalize)):(d.channels=J0.mul(d.resize,C.rgb),d.grayscale=J0.sum(d.channels,3,!0),d.grayscaleSub=J0.sub(d.grayscale,C.tf05),d.grayscaleMul=J0.mul(d.grayscaleSub,C.tf2),d.emotion=P0==null?void 0:P0.execute(d.grayscaleMul)),B3=v();let y=await d.emotion.data();for(let u=0;u(t.face.emotion.minConfidence||0)&&c.push({score:Math.min(.99,Math.trunc(100*y[u])/100),emotion:E5[u]});c.sort((u,T)=>T.score-u.score),Object.keys(d).forEach(u=>J0.dispose(d[u]))}pt[n]=c,F3=o,l(c)}))}var ie=G(H());var k0,Fe=[],V3=0,Z3=0,j5=Number.MAX_SAFE_INTEGER;async function X3(e){var t;return R.initial&&(k0=null),k0?e.debug&&h("cached model:",k0.modelUrl):k0=await L((t=e.face.description)==null?void 0:t.modelPath),k0}function uA(e,t){var s,A;let n=e.image||e.tensor||e;if(!(k0!=null&&k0.inputs[0].shape))return n;let o;if(((s=t.face.description)==null?void 0:s.crop)>0){let a=(A=t.face.description)==null?void 0:A.crop,l=[[a,a,1-a,1-a]];o=ie.image.cropAndResize(n,l,[0],[k0.inputs[0].shape[2],k0.inputs[0].shape[1]])}else o=ie.image.resizeBilinear(n,[k0.inputs[0].shape[2],k0.inputs[0].shape[1]],!1);let r=ie.mul(o,C.tf255);return ie.dispose(o),r}async function I5(e,t,n,o){var a,l,c,x;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(k0!=null&&k0.executor))return r;let s=j5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),A=(((l=t.face.description)==null?void 0:l.skipTime)||0)>v()-V3;return t.skipAllowed&&s&&A&&Z3===o&&((c=Fe==null?void 0:Fe[n])==null?void 0:c.age)>0&&((x=Fe==null?void 0:Fe[n])==null?void 0:x.genderScore)>0?(j5++,Fe[n]):(j5=0,new Promise(async i=>{var f;if((f=t.face.description)!=null&&f.enabled){let d=uA(e,t),m=k0==null?void 0:k0.execute(d);V3=v(),ie.dispose(d);let u=await m.find(V=>V.shape[1]===1).data(),T=Math.trunc(200*Math.abs(u[0]-.5))/100;T>(t.face.description.minConfidence||0)&&(r.gender=u[0]<=.5?"female":"male",r.genderScore=Math.min(.99,T));let g=ie.argMax(m.find(V=>V.shape[1]===100),1),p=(await g.data())[0];ie.dispose(g);let k=await m.find(V=>V.shape[1]===100).data();r.age=Math.round(k[p-1]>k[p+1]?10*p-100*k[p-1]:10*p+100*k[p+1])/10,(Number.isNaN(u[0])||Number.isNaN(k[0]))&&h("faceres error:",{model:k0,result:m});let P=m.find(V=>V.shape[1]===1024),N=P?await P.data():[];r.descriptor=Array.from(N),m.forEach(V=>ie.dispose(V))}Fe[n]=r,Z3=o,i(r)}))}var g2=.1,N5=.5;function hA(e,t,n){let o=!1,r=n.length-1;for(let s=0;st!=n[r].y>t&&e<(n[r].x-n[s].x)*(t-n[s].y)/(n[r].y-n[s].y)+n[s].x&&(o=!o);return o}async function U3(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,n=e.tensor.shape[1]||0,o=await e.tensor.buffer(),r=[];for(let A of ae.silhouette)r.push({x:(e.mesh[A][0]-e.box[0])/e.box[2],y:(e.mesh[A][1]-e.box[1])/e.box[3]});g2&&g2>0&&(r=r.map(A=>({x:A.x>.5?A.x+g2:A.x-g2,y:A.y>.5?A.y+g2:A.y-g2})));for(let A=0;Av()-K3,s=L5<(((a=t.face.antispoof)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&Y3===o&&ut[n]?(L5++,ut[n]):(L5=0,new Promise(async l=>{let c=ht.image.resizeBilinear(e,[w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[2]:0,w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[1]:0],!1),x=w0==null?void 0:w0.execute(c),i=(await x.data())[0];ut[n]=Math.round(100*i)/100,Y3=o,K3=v(),ht.dispose([c,x]),l(ut[n])}))}var gt=G(H());var E0,bt=[],C5=Number.MAX_SAFE_INTEGER,_3=0,$3=0;async function en(e){var t;return R.initial&&(E0=null),E0?e.debug&&h("cached model:",E0.modelUrl):E0=await L((t=e.face.liveness)==null?void 0:t.modelPath),E0}async function W5(e,t,n,o){var A,a;if(!(E0!=null&&E0.executor))return 0;let r=(((A=t.face.liveness)==null?void 0:A.skipTime)||0)>v()-$3,s=C5<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&_3===o&&bt[n]?(C5++,bt[n]):(C5=0,new Promise(async l=>{let c=gt.image.resizeBilinear(e,[E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[2]:0,E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[1]:0],!1),x=E0==null?void 0:E0.execute(c),i=(await x.data())[0];bt[n]=Math.round(100*i)/100,_3=o,$3=v(),gt.dispose([c,x]),l(bt[n])}))}var Tt=G(H());var le,D5=[],gA=["white","black","asian","indian","other"],TA=[15,23,28,35.5,45.5,55.5,65],nn=0,on=0,F5=Number.MAX_SAFE_INTEGER;async function rn(e){var t;return R.initial&&(le=null),le?e.debug&&h("cached model:",le.modelUrl):le=await L((t=e.face.gear)==null?void 0:t.modelPath),le}async function B5(e,t,n,o){var A,a;if(!le)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=F5<(((A=t.face.gear)==null?void 0:A.skipFrames)||0),s=(((a=t.face.gear)==null?void 0:a.skipTime)||0)>v()-on;return t.skipAllowed&&s&&r&&nn===o&&D5[n]?(F5++,D5[n]):(F5=0,new Promise(async l=>{var T,g,p,b;if(!(le!=null&&le.inputs[0].shape))return;let c={},x=[[0,.1,.9,.9]];if(((T=t.face.gear)==null?void 0:T.crop)>0){let k=(g=t.face.gear)==null?void 0:g.crop;x=[[k,k,1-k,1-k]]}c.resize=Tt.image.cropAndResize(e,x,[0],[le.inputs[0].shape[2],le.inputs[0].shape[1]]);let i={age:0,gender:"unknown",genderScore:0,race:[]};(p=t.face.gear)!=null&&p.enabled&&([c.age,c.gender,c.race]=le.execute(c.resize,["age_output","gender_output","race_output"]));let f=await c.gender.data();i.gender=f[0]>f[1]?"male":"female",i.genderScore=Math.round(100*(f[0]>f[1]?f[0]:f[1]))/100;let d=await c.race.data();for(let k=0;k(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&i.race.push({score:Math.round(100*d[k])/100,race:gA[k]});i.race.sort((k,P)=>P.score-k.score);let y=Array.from(await c.age.data()).map((k,P)=>[TA[P],k]).sort((k,P)=>P[1]-k[1]),u=y[0][0];for(let k=1;kTt.dispose(c[k])),D5[n]=i,nn=o,on=v(),l(i)}))}var s2=G(H());var H0,vt=[],An=0,an=0,H5=Number.MAX_SAFE_INTEGER;async function ln(e){return R.initial&&(H0=null),H0?e.debug&&h("cached model:",H0.modelUrl):H0=await L(e.face.ssrnet.modelPathAge),H0}async function G5(e,t,n,o){var A,a,l,c;if(!H0)return{age:0};let r=H5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-an;return t.skipAllowed&&r&&s&&An===o&&((l=vt[n])!=null&&l.age)&&((c=vt[n])==null?void 0:c.age)>0?(H5++,vt[n]):(H5=0,new Promise(async x=>{var d,m,y;if(!(H0!=null&&H0.inputs)||!H0.inputs[0]||!H0.inputs[0].shape)return;let i={};if(((d=t.face.ssrnet)==null?void 0:d.crop)>0){let u=(m=t.face.ssrnet)==null?void 0:m.crop,T=[[u,u,1-u,1-u]];i.resize=s2.image.cropAndResize(e,T,[0],[H0.inputs[0].shape[2],H0.inputs[0].shape[1]])}else i.resize=s2.image.resizeBilinear(e,[H0.inputs[0].shape[2],H0.inputs[0].shape[1]],!1);i.enhance=s2.mul(i.resize,C.tf255);let f={age:0};if((y=t.face.ssrnet)!=null&&y.enabled&&(i.age=H0.execute(i.enhance)),i.age){let u=await i.age.data();f.age=Math.trunc(10*u[0])/10}Object.keys(i).forEach(u=>s2.dispose(i[u])),vt[n]=f,An=o,an=v(),x(f)}))}var v0=G(H());var N0,Rt=[],dn=0,xn=0,V5=Number.MAX_SAFE_INTEGER,Z5=[.2989,.587,.114];async function yn(e){var t;return R.initial&&(N0=null),N0?e.debug&&h("cached model:",N0.modelUrl):N0=await L((t=e.face.ssrnet)==null?void 0:t.modelPathGender),N0}async function X5(e,t,n,o){var A,a,l,c;if(!N0)return{gender:"unknown",genderScore:0};let r=V5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-xn;return t.skipAllowed&&r&&s&&dn===o&&((l=Rt[n])!=null&&l.gender)&&((c=Rt[n])==null?void 0:c.genderScore)>0?(V5++,Rt[n]):(V5=0,new Promise(async x=>{var m,y,u;if(!(N0!=null&&N0.inputs[0].shape))return;let i={};if(((m=t.face.ssrnet)==null?void 0:m.crop)>0){let T=(y=t.face.ssrnet)==null?void 0:y.crop,g=[[T,T,1-T,1-T]];i.resize=v0.image.cropAndResize(e,g,[0],[N0.inputs[0].shape[2],N0.inputs[0].shape[1]])}else i.resize=v0.image.resizeBilinear(e,[N0.inputs[0].shape[2],N0.inputs[0].shape[1]],!1);i.enhance=v0.tidy(()=>{var g,p;let T;if(((p=(g=N0==null?void 0:N0.inputs)==null?void 0:g[0].shape)==null?void 0:p[3])===1){let[b,k,P]=v0.split(i.resize,3,3),N=v0.mul(b,Z5[0]),V=v0.mul(k,Z5[1]),_=v0.mul(P,Z5[2]),Z=v0.addN([N,V,_]);T=v0.mul(v0.sub(Z,C.tf05),2)}else T=v0.mul(v0.sub(i.resize,C.tf05),2);return T});let f={gender:"unknown",genderScore:0};(u=t.face.ssrnet)!=null&&u.enabled&&(i.gender=N0.execute(i.enhance));let d=await i.gender.data();f.gender=d[0]>d[1]?"female":"male",f.genderScore=d[0]>d[1]?Math.trunc(100*d[0])/100:Math.trunc(100*d[1])/100,Object.keys(i).forEach(T=>v0.dispose(i[T])),Rt[n]=f,dn=o,xn=v(),x(f)}))}var Mt=G(H());var Q0,q5=[],mn=0,pn=0,un=Number.MAX_SAFE_INTEGER;async function hn(e){var t;return R.initial&&(Q0=null),Q0?e.debug&&h("cached model:",Q0.modelUrl):Q0=await L((t=e.face.mobilefacenet)==null?void 0:t.modelPath),Q0}async function U5(e,t,n,o){var A,a;if(!(Q0!=null&&Q0.executor))return[];let r=un<(((A=t.face.mobilefacenet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.mobilefacenet)==null?void 0:a.skipTime)||0)>v()-pn;return t.skipAllowed&&s&&r&&mn===o&&q5[n]?(un++,q5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.mobilefacenet)!=null&&x.enabled&&(Q0!=null&&Q0.inputs[0].shape)){let i={};i.crop=Mt.image.resizeBilinear(e,[Q0.inputs[0].shape[2],Q0.inputs[0].shape[1]],!1),i.data=Q0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Mt.dispose(i[d]))}q5[n]=c,mn=o,pn=v(),l(c)})}var Pt=G(H());var _0,Y5=[],gn=0,Tn=0,vn=Number.MAX_SAFE_INTEGER;async function Rn(e){return R.initial&&(_0=null),_0?e.debug&&h("cached model:",_0.modelUrl):_0=await L(e.face.insightface.modelPath),_0}async function K5(e,t,n,o){var A,a;if(!(_0!=null&&_0.executor))return[];let r=vn<(((A=t.face.insightface)==null?void 0:A.skipFrames)||0),s=(((a=t.face.insightface)==null?void 0:a.skipTime)||0)>v()-Tn;return t.skipAllowed&&s&&r&&gn===o&&Y5[n]?(vn++,Y5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.insightface)!=null&&x.enabled&&(_0!=null&&_0.inputs[0].shape)){let i={};i.crop=Pt.image.resizeBilinear(e,[_0.inputs[0].shape[2],_0.inputs[0].shape[1]],!1),i.data=_0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Pt.dispose(i[d]))}Y5[n]=c,gn=o,Tn=v(),l(c)})}var vA=e=>{let t=(i,f)=>Math.atan2(i[1]-f[1],i[0]-f[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],A=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],a=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(A[0]-s[0])/a[0]-n[0],o*(s[1]-A[1])/a[1]-n[1]],c=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return c=Math.min(c,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:c}},Pn=(e,t)=>{let n=y=>{let u=Math.sqrt(y[0]*y[0]+y[1]*y[1]+y[2]*y[2]);return y[0]/=u,y[1]/=u,y[2]/=u,y},o=(y,u)=>{let T=y[0]-u[0],g=y[1]-u[1],p=y[2]-u[2];return[T,g,p]},r=(y,u)=>{let T=y[1]*u[2]-y[2]*u[1],g=y[2]*u[0]-y[0]*u[2],p=y[0]*u[1]-y[1]*u[0];return[T,g,p]},s=y=>{let[u,T,g,p,b,k,P,N,V]=y,_,Z,$;return p<1?p>-1?($=Math.asin(p),Z=Math.atan2(-P,u),_=Math.atan2(-k,b)):($=-Math.PI/2,Z=-Math.atan2(N,V),_=0):($=Math.PI/2,Z=Math.atan2(N,V),_=0),Number.isNaN(_)&&(_=0),Number.isNaN(Z)&&(Z=0),Number.isNaN($)&&($=0),{pitch:2*-_,yaw:2*-Z,roll:2*-$}},A=e.meshRaw;if(!A||A.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let a=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[A[10],A[152],A[234],A[454]].map(y=>[y[0]*t[0]/a,y[1]*t[1]/a,y[2]]),c=n(o(l[1],l[0])),x=n(o(l[3],l[2])),i=n(r(x,c));x=r(c,i);let f=[x[0],x[1],x[2],c[0],c[1],c[2],i[0],i[1],i[2]],d=s(f),m=A.length===478?vA(e):{bearing:0,strength:0};return{angle:d,matrix:f,gaze:m}};function kn(e,t){let n=e==null?void 0:e.annotations;if(!(n!=null&&n.leftEyeIris)||!(n!=null&&n.rightEyeIris))return 0;let o=Math.max(Math.abs(n.leftEyeIris[3][0]-n.leftEyeIris[1][0]),Math.abs(n.rightEyeIris[3][0]-n.rightEyeIris[1][0]))/t;return Math.round(1.17/o)/100}var J5=async(e,t)=>{var m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;let n=v(),o,r,s,A,a,l,c,x,i,f=[];e.state="run:face";let d=await O3(t,e.config);if(e.performance.face=R.perfadd?(e.performance.face||0)+Math.trunc(v()-n):Math.trunc(v()-n),!t.shape||t.shape.length!==4)return[];if(!d)return[];for(let E=0;E200?Pn(d[E],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?A=(y=e.config.face.emotion)!=null&&y.enabled?S5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[]:(e.state="run:emotion",n=v(),A=(u=e.config.face.emotion)!=null&&u.enabled?await S5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[],e.performance.emotion=R.perfadd?(e.performance.emotion||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?c=(T=e.config.face.antispoof)!=null&&T.enabled?O5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:antispoof",n=v(),c=(g=e.config.face.antispoof)!=null&&g.enabled?await O5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.antispoof=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?x=(p=e.config.face.liveness)!=null&&p.enabled?W5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:liveness",n=v(),x=(b=e.config.face.liveness)!=null&&b.enabled?await W5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.liveness=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(k=e.config.face.gear)!=null&&k.enabled?B5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:gear",n=v(),r=(P=e.config.face.gear)!=null&&P.enabled?await B5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.gear=Math.trunc(v()-n)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(o=(N=e.config.face.ssrnet)!=null&&N.enabled?G5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(V=e.config.face.ssrnet)!=null&&V.enabled?X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null):(e.state="run:ssrnet",n=v(),o=(_=e.config.face.ssrnet)!=null&&_.enabled?await G5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(Z=e.config.face.ssrnet)!=null&&Z.enabled?await X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.ssrnet=Math.trunc(v()-n)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?a=($=e.config.face.mobilefacenet)!=null&&$.enabled?U5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),a=(A0=e.config.face.mobilefacenet)!=null&&A0.enabled?await U5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(n0=e.config.face.insightface)!=null&&n0.enabled?K5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),l=(t0=e.config.face.insightface)!=null&&t0.enabled?await K5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?i=I5(d[E].tensor||l0.tensor([]),e.config,E,d.length):(e.state="run:description",n=v(),i=await I5(d[E].tensor||l0.tensor([]),e.config,E,d.length),e.performance.description=R.perfadd?(e.performance.description||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Description:"),e.config.async&&([o,s,A,a,l,i,r,c,x]=await Promise.all([o,s,A,a,l,i,r,c,x])),e.analyze("Finish Face:"),(j0=e.config.face.ssrnet)!=null&&j0.enabled&&o&&s&&(i={...i,age:o.age,gender:s.gender,genderScore:s.genderScore}),(M=e.config.face.gear)!=null&&M.enabled&&r&&(i={...i,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),(T0=e.config.face.mobilefacenet)!=null&&T0.enabled&&a&&(i.descriptor=a),(C0=e.config.face.insightface)!=null&&C0.enabled&&l&&(i.descriptor=l);let X=(x0=e.config.face.iris)!=null&&x0.enabled?kn(d[E],t.shape[2]):0,U0=(K=e.config.face.detector)!=null&&K.return?l0.squeeze(d[E].tensor):null;l0.dispose(d[E].tensor),d[E].tensor&&delete d[E].tensor;let y0={...d[E],id:E};i.age&&(y0.age=i.age),i.gender&&(y0.gender=i.gender),i.genderScore&&(y0.genderScore=i.genderScore),i.descriptor&&(y0.embedding=i.descriptor),i.race&&(y0.race=i.race),A&&(y0.emotion=A),c&&(y0.real=c),x&&(y0.live=x),X>0&&(y0.distance=X),B&&(y0.rotation=B),U0&&(y0.tensor=U0),f.push(y0),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),f};var G0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>G0.nameMapping[e],getPoints:e=>G0.pointsMapping[e]},He={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>He.nameMapping[e]},c0={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>c0.nameMapping[e]},Be=class{constructor(t){w(this,"name");w(this,"curls");w(this,"directions");w(this,"weights");w(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,n,o){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([n,o])}direction(t,n,o){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([n,o])}weight(t,n){this.weights[t]=n;let o=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/o)}matchAgainst(t,n){let o=0;for(let r in t){let s=t[r],A=this.curls[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}for(let r in n){let s=n[r],A=this.directions[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}return o/10}};var{thumb:fe,index:Pe,middle:ke,ring:A2,pinky:a2}=G0,{none:me,half:MA,full:pe}=He,{verticalUp:T2,verticalDown:Ki,horizontalLeft:Q5,horizontalRight:PA,diagonalUpRight:kA,diagonalUpLeft:v2,diagonalDownRight:Ji,diagonalDownLeft:Qi}=c0,Ge=new Be("thumbs up");Ge.curl(fe,me,1);Ge.direction(fe,T2,1);Ge.direction(fe,v2,.25);Ge.direction(fe,kA,.25);for(let e of[G0.index,G0.middle,G0.ring,G0.pinky])Ge.curl(e,pe,1),Ge.direction(e,Q5,1),Ge.direction(e,PA,1);var h0=new Be("victory");h0.curl(fe,MA,.5);h0.curl(fe,me,.5);h0.direction(fe,T2,1);h0.direction(fe,v2,1);h0.curl(Pe,me,1);h0.direction(Pe,T2,.75);h0.direction(Pe,v2,1);h0.curl(ke,me,1);h0.direction(ke,T2,1);h0.direction(ke,v2,.75);h0.curl(A2,pe,1);h0.direction(A2,T2,.2);h0.direction(A2,v2,1);h0.direction(A2,Q5,.2);h0.curl(a2,pe,1);h0.direction(a2,T2,.2);h0.direction(a2,v2,1);h0.direction(a2,Q5,.2);h0.weight(Pe,2);h0.weight(ke,2);var Ve=new Be("point");Ve.curl(fe,pe,1);Ve.curl(Pe,me,.5);Ve.curl(ke,pe,.5);Ve.curl(A2,pe,.5);Ve.curl(a2,pe,.5);Ve.weight(Pe,2);Ve.weight(ke,2);var Ze=new Be("middle finger");Ze.curl(fe,me,1);Ze.curl(Pe,pe,.5);Ze.curl(ke,pe,.5);Ze.curl(A2,pe,.5);Ze.curl(a2,pe,.5);Ze.weight(Pe,2);Ze.weight(ke,2);var R2=new Be("open palm");R2.curl(fe,me,.75);R2.curl(Pe,me,.75);R2.curl(ke,me,.75);R2.curl(A2,me,.75);R2.curl(a2,me,.75);var wn=[Ge,h0,Ve,Ze,R2];var wA=.7,i2={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function En(e,t,n,o){let r=(t-o)/(e-n),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function Sn(e,t){if(!e||!t)return[0,0];let n=En(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let o=En(e[1],e[2],t[1],t[2]);return[n,o]}function zn(e,t=1){let n=0,o=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?o=1*t:r=1*t,[n,o,r]}function EA(e,t,n){let o=e[0]-t[0],r=e[0]-n[0],s=t[0]-n[0],A=e[1]-t[1],a=e[1]-n[1],l=t[1]-n[1],c=e[2]-t[2],x=e[2]-n[2],i=t[2]-n[2],f=Math.sqrt(o*o+A*A+c*c),d=Math.sqrt(r*r+a*a+x*x),m=Math.sqrt(s*s+l*l+i*i),y=(m*m+f*f-d*d)/(2*m*f);y>1?y=1:y<-1&&(y=-1);let u=Math.acos(y);u=57.2958*u%180;let T;return u>i2.NO_CURL_START_LIMIT?T=He.none:u>i2.HALF_CURL_START_LIMIT?T=He.half:T=He.full,T}function jn(e,t,n,o){let r;return o===Math.abs(e)?e>0?r=c0.horizontalLeft:r=c0.horizontalRight:o===Math.abs(t)?t>0?r=c0.horizontalLeft:r=c0.horizontalRight:n>0?r=c0.horizontalLeft:r=c0.horizontalRight,r}function In(e,t,n,o){let r;return o===Math.abs(e)?e<0?r=c0.verticalDown:r=c0.verticalUp:o===Math.abs(t)?t<0?r=c0.verticalDown:r=c0.verticalUp:n<0?r=c0.verticalDown:r=c0.verticalUp,r}function zA(e,t,n,o,r,s,A,a){let l,c=In(e,t,n,o),x=jn(r,s,A,a);return c===c0.verticalUp?x===c0.horizontalLeft?l=c0.diagonalUpLeft:l=c0.diagonalUpRight:x===c0.horizontalLeft?l=c0.diagonalDownLeft:l=c0.diagonalDownRight,l}function SA(e,t,n,o){let r=e[0]-t[0],s=e[0]-n[0],A=t[0]-n[0],a=e[1]-t[1],l=e[1]-n[1],c=t[1]-n[1],x=Math.max(Math.abs(r),Math.abs(s),Math.abs(A)),i=Math.max(Math.abs(a),Math.abs(l),Math.abs(c)),f=0,d=0,m=0,y=i/(x+1e-5);y>1.5?f+=i2.DISTANCE_VOTE_POWER:y>.66?d+=i2.DISTANCE_VOTE_POWER:m+=i2.DISTANCE_VOTE_POWER;let u=Math.sqrt(r*r+a*a),T=Math.sqrt(s*s+l*l),g=Math.sqrt(A*A+c*c),p=Math.max(u,T,g),b=e[0],k=e[1],P=n[0],N=n[1];p===u?(P=n[0],N=n[1]):p===g&&(b=t[0],k=t[1]);let Z=Sn([b,k],[P,N]),$=zn(Z,i2.TOTAL_ANGLE_VOTE_POWER);f+=$[0],d+=$[1],m+=$[2];for(let n0 of o){let t0=zn(n0,i2.SINGLE_ANGLE_VOTE_POWER);f+=t0[0],d+=t0[1],m+=t0[2]}let A0;return f===Math.max(f,d,m)?A0=In(l,a,c,i):m===Math.max(d,m)?A0=jn(s,r,A,x):A0=zA(l,a,c,i,s,r,A,x),A0}function Nn(e){let t=[],n=[],o=[],r=[];if(!e)return{curls:o,directions:r};for(let s of G0.all){let A=G0.getPoints(s),a=[],l=[];for(let c of A){let x=e[c[0]],i=e[c[1]],f=Sn(x,i),d=f[0],m=f[1];a.push(d),l.push(m)}t.push(a),n.push(l)}for(let s of G0.all){let A=s===G0.thumb?1:0,a=G0.getPoints(s),l=e[a[A][0]],c=e[a[A+1][1]],x=e[a[3][1]],i=EA(l,c,x),f=SA(l,c,x,t[s].slice(A));o[s]=i,r[s]=f}return{curls:o,directions:r}}function kt(e){if(!e||e.length===0)return null;let t=Nn(e),n={};for(let o of G0.all)n[G0.getName(o)]={curl:He.getName(t.curls[o]),direction:c0.getName(t.directions[o])};return n}function Ln(e){let t=[];if(!e||e.length===0)return t;let n=Nn(e);for(let o of wn){let r=o.matchAgainst(n.curls,n.directions);r>=wA&&t.push({name:o.name,confidence:r})}return t}var On=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),r=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&o&&r&&o.position[1]l.part==="leftShoulder"),a=e[n].keypoints.find(l=>l.part==="rightShoulder");A&&a&&Math.abs(A.positionRaw[1]-a.positionRaw[1])>.1&&t.push({body:n,gesture:`leaning ${A.position[1]>a.position[1]?"left":"right"}`})}return t},Cn=e=>{if(!e)return[];let t=[];for(let n=0;n450){let o=(e[n].mesh[33][2]||0)-(e[n].mesh[263][2]||0),r=e[n].mesh[33][0]-e[n].mesh[263][0];Math.abs(o/r)<=.15?t.push({face:n,gesture:"facing center"}):t.push({face:n,gesture:`facing ${o<0?"left":"right"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));a>10&&t.push({face:n,gesture:`mouth ${Math.trunc(a)}% open`});let l=e[n].mesh[152][2]||0;Math.abs(l)>10&&t.push({face:n,gesture:`head ${l<0?"up":"down"}`})}return t},Wn=e=>{var n,o,r,s;if(!e)return[];let t=[];for(let A=0;A.06||u>.06)&&(d=!1),y>u?y>.05&&t.push({iris:A,gesture:"looking right"}):u>.05&&t.push({iris:A,gesture:"looking left"});let T=Math.abs(e[A].mesh[145][1]-e[A].annotations.rightEyeIris[0][1])/e[A].box[3],g=Math.abs(e[A].mesh[374][1]-e[A].annotations.leftEyeIris[0][1])/e[A].box[3];(g<.01||T<.01||g>.022||T>.022)&&(d=!1),(g<.01||T<.01)&&t.push({iris:A,gesture:"looking down"}),(g>.022||T>.022)&&t.push({iris:A,gesture:"looking up"}),d&&t.push({iris:A,gesture:"looking center"})}return t},Dn=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=o.reduce((A,a)=>(A.position[2]||0)<(a.position[2]||0)?A:a);t.push({hand:n,gesture:`${r.name} forward`});let s=o.reduce((A,a)=>A.position[1][s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:r,confidence:e.confidence}}function Et(e,t=1.5){let n=C2(e),o=wt(e),r=[t*o[0]/2,t*o[1]/2],s=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function zt(e){let t=C2(e),n=wt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function IA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Zn(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return IA(n)}var Fn=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Xe(e,t){let n=0;for(let o=0;o[A.x,A.y]),this.anchorsTensor=W.tensor2d(this.anchors),this.inputSize=((s=(r=(o=(n=this==null?void 0:this.model)==null?void 0:n.inputs)==null?void 0:o[0])==null?void 0:r.shape)==null?void 0:s[2])||0,this.inputSizeTensor=W.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=W.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let n={};n.boxOffsets=W.slice(t,[0,0],[-1,2]),n.boxSizes=W.slice(t,[0,2],[-1,2]),n.div=W.div(n.boxOffsets,this.inputSizeTensor),n.boxCenterPoints=W.add(n.div,this.anchorsTensor),n.halfBoxSizes=W.div(n.boxSizes,this.doubleInputSizeTensor),n.sub=W.sub(n.boxCenterPoints,n.halfBoxSizes),n.startPoints=W.mul(n.sub,this.inputSizeTensor),n.add=W.add(n.boxCenterPoints,n.halfBoxSizes),n.endPoints=W.mul(n.add,this.inputSizeTensor);let o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),f=x.slice(2,4),d=await c.palmLandmarks.array(),m={startPoint:i,endPoint:f,palmLandmarks:d,confidence:r[l]},y=Vn(m,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(y),Object.keys(c).forEach(u=>W.dispose(c[u]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var $0=G(H());var CA=5,Yn=1.65,Kn=[0,5,9,13,17,1,2],WA=0,DA=2,Jn=0,jt=class{constructor(t,n){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>e1([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return Et(zt(r),CA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=Et(zt(n),Yn);o.palmLandmarks=[];for(let r=0;r[A[0]*(d[0]-this.inputSize/2),A[1]*(d[1]-this.inputSize/2),A[2]*d[2]]),l=$5(o,[0,0]),c=a.map(d=>[...e1(d,l),d[2]]),x=Xn(r),i=[...C2(n),1],f=[Xe(i,x[0]),Xe(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>v()-Jn,A=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&s&&A&&(r=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(o=!0));let a=[];for(let l=0;l=n.hand.minConfidence/4){let k=$0.reshape(p,[-1,3]),P=await k.array();$0.dispose(p),$0.dispose(k);let N=this.transformRawCoords(P,y,x,m),V=this.getBoxForHandLandmarks(N);this.storedBoxes[l]={...V,confidence:b};let _={landmarks:N,confidence:b,boxConfidence:c.confidence,fingerConfidence:b,box:{topLeft:V.startPoint,bottomRight:V.endPoint}};a.push(_)}else this.storedBoxes[l]=null;$0.dispose(p)}else{let x=Et(zt(c),Yn),i={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:x.startPoint,bottomRight:x.endPoint},landmarks:[]};a.push(i)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=a.length,a.length>n.hand.maxDetected&&(a.length=n.hand.maxDetected),a}};var Qn={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},l2,c2,_n;async function t1(e,t){let n=await _n.estimateHands(e,t);if(!n)return[];let o=[];for(let r=0;rn[r].landmarks[i]);let A=n[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(A&&A.length>0){for(let x of A)x[0]a[2]&&(a[2]=x[0]),x[1]>a[3]&&(a[3]=x[1]);a[2]-=a[0],a[3]-=a[1],l=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=kt(A);o.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:l,keypoints:A,annotations:s,landmarks:c})}return o}async function $n(e){var n,o;R.initial&&(l2=null,c2=null),!l2||!c2?[l2,c2]=await Promise.all([e.hand.enabled?L((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?L((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&h("cached model:",l2.modelUrl),e.debug&&h("cached model:",c2.modelUrl));let t=l2?new St(l2):void 0;return t&&c2&&(_n=new jt(t,c2)),[l2,c2]}var Q=G(H());var p0=[null,null],BA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],qe=[[0,0],[0,0]],HA=["hand","fist","pinch","point","face","tip","pinchtip"],to=4,no=1.6,GA=512,VA=1.4,It=Number.MAX_SAFE_INTEGER,n1=0,we=[0,0],m0={boxes:[],hands:[]},oo={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function ro(e){var t;if(R.initial&&(p0[0]=null),p0[0])e.debug&&h("cached model:",p0[0].modelUrl);else{J2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),p0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let n=p0[0].executor?Object.values(p0[0].modelSignature.inputs):void 0;qe[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[0]}async function so(e){var t;if(R.initial&&(p0[1]=null),p0[1])e.debug&&h("cached model:",p0[1].modelUrl);else{p0[1]=await L((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=p0[1].executor?Object.values(p0[1].modelSignature.inputs):void 0;qe[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[1]}async function ZA(e,t){let n=[];if(!e||!p0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,GA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await p0[0].executeAsync(o.cast,BA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[to]),a.splice(to,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let f of Array.from(c)){let d=Q.slice(o.boxes,f,1),m=await d.data();Q.dispose(d);let y=[m[1],m[0],m[3]-m[1],m[2]-m[0]],u=st(y,VA),T=[Math.trunc(y[0]*we[0]),Math.trunc(y[1]*we[1]),Math.trunc(y[2]*we[0]),Math.trunc(y[3]*we[1])],g=x[f],p=HA[i[f]],b={id:l++,score:g,box:T,boxRaw:u,label:p};n.push(b)}return Object.keys(o).forEach(f=>Q.dispose(o[f])),n.sort((f,d)=>d.score-f.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function o1(e,t,n){let o={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&p0[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Q.image.cropAndResize(e,[s],[0],[qe[1][0],qe[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=p0[1].execute(r.div,["Identity_1","Identity"]);let A=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(A))))/100;if(a>=(n.hand.minConfidence||0)){o.fingerScore=a,r.reshaped=Q.reshape(r.keypoints,[-1,3]);let x=(await r.reshaped.array()).map(i=>[i[0]/qe[1][1],i[1]/qe[1][0],i[2]||0]).map(i=>[i[0]*t.boxRaw[2],i[1]*t.boxRaw[3],i[2]||0]);o.keypoints=x.map(i=>[we[0]*(i[0]+t.boxRaw[0]),we[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=kt(o.keypoints);for(let i of Object.keys(oo))o.annotations[i]=oo[i].map(f=>o.landmarks&&o.keypoints[f]?o.keypoints[f]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function r1(e,t){var r,s;if(!((r=p0[0])!=null&&r.executor)||!((s=p0[1])!=null&&s.executor)||!p0[0].inputs[0].shape||!p0[1].inputs[0].shape)return[];we=[e.shape[2]||0,e.shape[1]||0],It++;let n=(t.hand.skipTime||0)>v()-n1,o=It<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?m0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>v()-n1,l=It<3*(t.hand.skipFrames||0);t.skipAllowed&&m0.hands.length===t.hand.maxDetected?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):t.skipAllowed&&a&&l&&m0.hands.length>0?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):(m0.boxes=await ZA(e,t),n1=v(),m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))),It=0);let c=[...m0.boxes];if(m0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x.05&&i.box[3]/(e.shape[1]||1)>.05&&m0.hands[x].fingerScore&&m0.hands[x].fingerScore>(t.hand.minConfidence||0)){let f=st(i.box,no),d=st(i.boxRaw,no);m0.boxes.push({...c[x],box:f,boxRaw:d})}}for(let x=0;x({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var W2={};ze(W2,{connected:()=>Lt,horizontal:()=>s1,kpt:()=>Nt,relative:()=>a1,vertical:()=>A1});var Nt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],s1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],A1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],a1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],Lt={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var z=Te(),i1=0;function ao(e,t){var A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0;let n=v();if(!e)return Te();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(z.canvas=e.canvas),e.error&&(z.error=e.error),!z.body||e.body.length!==z.body.length)z.body=JSON.parse(JSON.stringify(e.body));else for(let M=0;M((r-1)*z.body[M].box[X]+B)/r),C0=e.body[M].boxRaw.map((B,X)=>((r-1)*z.body[M].boxRaw[X]+B)/r),x0=e.body[M].keypoints.map((B,X)=>{var U0,y0,Ee,k2,x2,w1,E1,z1,S1;return{score:B.score,part:B.part,position:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[0]||0)+(B.position[0]||0))/r:B.position[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[1]||0)+(B.position[1]||0))/r:B.position[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[z.body[M].keypoints[X]?((r-1)*(((U0=z.body[M].keypoints[X].distance)==null?void 0:U0[0])||0)+(((y0=B.distance)==null?void 0:y0[0])||0))/r:(Ee=B.distance)==null?void 0:Ee[0],z.body[M].keypoints[X]?((r-1)*(((k2=z.body[M].keypoints[X].distance)==null?void 0:k2[1])||0)+(((x2=B.distance)==null?void 0:x2[1])||0))/r:(w1=B.distance)==null?void 0:w1[1],z.body[M].keypoints[X]?((r-1)*(((E1=z.body[M].keypoints[X].distance)==null?void 0:E1[2])||0)+(((z1=B.distance)==null?void 0:z1[2])||0))/r:(S1=B.distance)==null?void 0:S1[2]]}}),K={},E={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?E=it:(a=t.body.modelPath)!=null&&a.includes("blazepose")?E=ot:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(E=W2);for(let[B,X]of Object.entries(E.connected)){let U0=[];for(let y0=0;y0x2.part===X[y0]),k2=x0.find(x2=>x2.part===X[y0+1]);Ee&&k2&&U0.push([Ee.position,k2.position])}K[B]=U0}z.body[M]={...e.body[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.hand||e.hand.length!==z.hand.length)z.hand=JSON.parse(JSON.stringify(e.hand));else for(let M=0;M((r-1)*z.hand[M].box[B]+E)/r),C0=e.hand[M].boxRaw.map((E,B)=>((r-1)*z.hand[M].boxRaw[B]+E)/r);z.hand[M].keypoints.length!==e.hand[M].keypoints.length&&(z.hand[M].keypoints=e.hand[M].keypoints);let x0=e.hand[M].keypoints&&e.hand[M].keypoints.length>0?e.hand[M].keypoints.map((E,B)=>E.map((X,U0)=>((r-1)*(z.hand[M].keypoints[B][U0]||1)+(X||0))/r)):[],K={};if(Object.keys(z.hand[M].annotations).length!==Object.keys(e.hand[M].annotations).length)z.hand[M].annotations=e.hand[M].annotations,K=z.hand[M].annotations;else if(e.hand[M].annotations)for(let E of Object.keys(e.hand[M].annotations))K[E]=(i=(x=(c=e.hand[M])==null?void 0:c.annotations)==null?void 0:x[E])!=null&&i[0]?e.hand[M].annotations[E].map((B,X)=>B.map((U0,y0)=>((r-1)*z.hand[M].annotations[E][X][y0]+U0)/r)):null;z.hand[M]={...e.hand[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.face||e.face.length!==z.face.length)z.face=JSON.parse(JSON.stringify(e.face));else for(let M=0;M((r-1)*z.face[M].box[E]+K)/r),C0=e.face[M].boxRaw.map((K,E)=>((r-1)*z.face[M].boxRaw[E]+K)/r),x0=e.face[M].annotations;if(Object.keys(z.face[M].annotations).length!==Object.keys(e.face[M].annotations).length)z.face[M].annotations=e.face[M].annotations,x0=z.face[M].annotations;else if(e.face[M].annotations)for(let K of Object.keys(e.face[M].annotations))x0[K]=(m=(d=(f=e.face[M])==null?void 0:f.annotations)==null?void 0:d[K])!=null&&m[0]?e.face[M].annotations[K].map((E,B)=>E.map((X,U0)=>((r-1)*z.face[M].annotations[K][B][U0]+X)/r)):null;if(e.face[M].rotation){let K={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};K.matrix=(y=e.face[M].rotation)==null?void 0:y.matrix,K.angle={roll:((r-1)*(((T=(u=z.face[M].rotation)==null?void 0:u.angle)==null?void 0:T.roll)||0)+(((p=(g=e.face[M].rotation)==null?void 0:g.angle)==null?void 0:p.roll)||0))/r,yaw:((r-1)*(((k=(b=z.face[M].rotation)==null?void 0:b.angle)==null?void 0:k.yaw)||0)+(((N=(P=e.face[M].rotation)==null?void 0:P.angle)==null?void 0:N.yaw)||0))/r,pitch:((r-1)*(((_=(V=z.face[M].rotation)==null?void 0:V.angle)==null?void 0:_.pitch)||0)+((($=(Z=e.face[M].rotation)==null?void 0:Z.angle)==null?void 0:$.pitch)||0))/r},K.gaze={bearing:((r-1)*(((A0=z.face[M].rotation)==null?void 0:A0.gaze.bearing)||0)+(((n0=e.face[M].rotation)==null?void 0:n0.gaze.bearing)||0))/r,strength:((r-1)*(((t0=z.face[M].rotation)==null?void 0:t0.gaze.strength)||0)+(((j0=e.face[M].rotation)==null?void 0:j0.gaze.strength)||0))/r},z.face[M]={...e.face[M],rotation:K,box:T0,boxRaw:C0,annotations:x0}}else z.face[M]={...e.face[M],box:T0,boxRaw:C0,annotations:x0}}if(!z.object||e.object.length!==z.object.length)z.object=JSON.parse(JSON.stringify(e.object));else for(let M=0;M((r-1)*z.object[M].box[K]+x0)/r),C0=e.object[M].boxRaw.map((x0,K)=>((r-1)*z.object[M].boxRaw[K]+x0)/r);z.object[M]={...e.object[M],box:T0,boxRaw:C0}}if(e.persons){let M=e.persons;if(!z.persons||M.length!==z.persons.length)z.persons=JSON.parse(JSON.stringify(M));else for(let T0=0;T0((r-1)*z.persons[T0].box[x0]+C0)/r)}e.gesture&&(z.gesture=e.gesture),z.width=e.width,z.height=e.height;let s=v();return i1=R.perfadd?i1+Math.round(s-n):Math.round(s-n),e.performance&&(z.performance={...e.performance,interpolate:i1}),z}var s0=G(H());var L0;async function l1(e){return!L0||R.initial?L0=await L(e.segmentation.modelPath):e.debug&&h("cached model:",L0.modelUrl),L0}async function io(e,t){var r;if(L0||(L0=await l1(t)),!(L0!=null&&L0.executor)||!((r=L0==null?void 0:L0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=s0.image.resizeBilinear(e,[L0.inputs[0].shape?L0.inputs[0].shape[1]:0,L0.inputs[0].shape?L0.inputs[0].shape[2]:0],!1),n.norm=s0.div(n.resize,C.tf255),n.res=L0.execute(n.norm),n.squeeze=s0.squeeze(n.res,[0]),[n.bgRaw,n.fgRaw]=s0.unstack(n.squeeze,2),n.fg=s0.softmax(n.fgRaw),n.mul=s0.mul(n.fg,C.tf255),n.expand=s0.expandDims(n.mul,2),n.output=s0.image.resizeBilinear(n.expand,[e.shape[1]||0,e.shape[2]||0]);let o;switch(t.segmentation.mode||"default"){case"default":n.input=s0.squeeze(e),n.concat=s0.concat([n.input,n.output],-1),o=s0.cast(n.concat,"int32");break;case"alpha":o=s0.cast(n.output,"int32");break;default:o=s0.tensor(0)}return Object.keys(n).forEach(s=>s0.dispose(n[s])),o}var Ot={};ze(Ot,{distance:()=>c1,find:()=>UA,similarity:()=>qA});function c1(e,t,n={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let o=0;for(let r=0;r{if(e===0)return 1;let s=(1-(t===2?Math.sqrt(e):e**(1/t))/100-n)/(o-n);return Math.max(Math.min(s,1),0)};function qA(e,t,n={order:2,multiplier:25,min:.2,max:.8}){let o=c1(e,t,n);return co(o,n.order||2,n.min||0,n.max||1)}function UA(e,t,n={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let o=Number.MAX_SAFE_INTEGER,r=-1;for(let A=0;AH2,validateModel:()=>Gt});var D2=G(H());var Ue=G(H());var xo=.005,ee={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function d1(e){for(let t of s1){let n=e.keypoints.findIndex(r=>r.part===t[0]),o=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[0]r&&r.part===t[0]),o=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[1]c&&c.part===t[0]),r=e.keypoints.findIndex(c=>c&&c.part===t[1]),s=e.keypoints.findIndex(c=>c&&c.part===n[0]),A=e.keypoints.findIndex(c=>c&&c.part===n[1]);if(!e.keypoints[s]||!e.keypoints[A])continue;let a=e.keypoints[o]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[o].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[o].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||l[0]>l[1]){let c=e.keypoints[o];e.keypoints[o]=e.keypoints[r],e.keypoints[r]=c}}}function yo(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=Ue.pad(e,ee.padding),n.resize=Ue.image.resizeBilinear(n.pad,[t,t]);let o=Ue.cast(n.resize,"int32");return Object.keys(n).forEach(A=>Ue.dispose(n[A])),o}function mo(e,t){e.keypoints=e.keypoints.filter(o=>o==null?void 0:o.position);for(let o of e.keypoints)o.position=[o.position[0]*(t[0]+ee.padding[2][0]+ee.padding[2][1])/t[0]-ee.padding[2][0],o.position[1]*(t[1]+ee.padding[1][0]+ee.padding[1][1])/t[1]-ee.padding[1][0]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1]];let n=Le(e.keypoints.map(o=>o.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var b0,Ct=0,x1=Number.MAX_SAFE_INTEGER,d2={boxes:[],bodies:[],last:0};async function po(e){var t;return R.initial&&(b0=null),b0?e.debug&&h("cached model:",b0.modelUrl):(J2(["size"],e),b0=await L(e.body.modelPath)),Ct=b0!=null&&b0.executor&&((t=b0==null?void 0:b0.inputs)!=null&&t[0].shape)?b0.inputs[0].shape[2]:0,Ct<64&&(Ct=256),D2.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&D2.env().set("WEBGL_USE_SHAPES_UNIFORMS",!1),b0}function KA(e,t,n){let o=e[0][0],r=[],s=0;for(let x=0;xt.body.minConfidence){let i=[o[x][1],o[x][0]];r.push({score:Math.round(100*s)/100,part:Nt[x],positionRaw:i,position:[Math.round((n.shape[2]||0)*i[0]),Math.round((n.shape[1]||0)*i[1])]})}s=r.reduce((x,i)=>i.score>x?i.score:x,0);let A=[],a=Le(r.map(x=>x.position),[n.shape[2],n.shape[1]]),l={};for(let[x,i]of Object.entries(Lt)){let f=[];for(let d=0;du.part===i[d]),y=r.find(u=>u.part===i[d+1]);m&&y&&m.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([m.position,y.position])}l[x]=f}let c={id:0,score:s,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:l};return d1(c),A.push(c),A}function JA(e,t,n){let o=[];for(let r=0;rt.body.minConfidence){let a=[];for(let f=0;f<17;f++){let d=s[3*f+2];if(d>t.body.minConfidence){let m=[s[3*f+1],s[3*f+0]];a.push({part:Nt[f],score:Math.round(100*d)/100,positionRaw:m,position:[Math.round((n.shape[2]||0)*m[0]),Math.round((n.shape[1]||0)*m[1])]})}}let l=[s[51+1],s[51+0],s[51+3]-s[51+1],s[51+2]-s[51+0]],c=[Math.trunc(l[0]*(n.shape[2]||0)),Math.trunc(l[1]*(n.shape[1]||0)),Math.trunc(l[2]*(n.shape[2]||0)),Math.trunc(l[3]*(n.shape[1]||0))],x={};for(let[f,d]of Object.entries(Lt)){let m=[];for(let y=0;yg.part===d[y]),T=a.find(g=>g.part===d[y+1]);u&&T&&u.score>(t.body.minConfidence||0)&&T.score>(t.body.minConfidence||0)&&m.push([u.position,T.position])}x[f]=m}let i={id:r,score:A,box:c,boxRaw:l,keypoints:[...a],annotations:x};d1(i),o.push(i)}}return o.sort((r,s)=>s.score-r.score),o.length>t.body.maxDetected&&(o.length=t.body.maxDetected),o}async function y1(e,t){var r;if(!(b0!=null&&b0.executor)||!((r=b0==null?void 0:b0.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(d2.boxes.length=0),x1++;let n=(t.body.skipTime||0)>v()-d2.last,o=x1<(t.body.skipFrames||0);return t.skipAllowed&&n&&o?d2.bodies:new Promise(async s=>{let A={};x1=0,A.input=fo(e,Ct),A.res=b0==null?void 0:b0.execute(A.input),d2.last=v();let a=await A.res.array();d2.bodies=A.res.shape[2]===17?KA(a,t,e):JA(a,t,e);for(let l of d2.bodies)mo(l,[e.shape[2]||1,e.shape[1]||1]),yo(l.keypoints);Object.keys(A).forEach(l=>D2.dispose(A[l])),s(d2.bodies)})}var S0=G(H());var ce,Wt=[],ho=0,f1=Number.MAX_SAFE_INTEGER,Ft=0,Dt=2.5;async function bo(e){if(!ce||R.initial){ce=await L(e.object.modelPath);let t=ce!=null&&ce.executor?Object.values(ce.modelSignature.inputs):void 0;Ft=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&h("cached model:",ce.modelUrl);return ce}async function QA(e,t,n){var c,x;let o=0,r=[],s=Ft;for(let i of[1,2,4]){let f=i*13,d=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)===m2.length)),m=await d.array(),y=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)(n.object.minConfidence||0)&&b!==61){let P=(.5+Math.trunc(p%f))/f,N=(.5+Math.trunc(p/f))/f,V=g[p].map(M=>M*(f/i/s)),[_,Z]=[P-Dt/i*V[0],N-Dt/i*V[1]],[$,A0]=[P+Dt/i*V[2]-_,N+Dt/i*V[3]-Z],n0=[_,Z,$,A0];n0=n0.map(M=>Math.max(0,Math.min(M,1)));let t0=[n0[0]*t[0],n0[1]*t[1],n0[2]*t[0],n0[3]*t[1]],j0={id:o++,score:Math.round(100*k)/100,class:b+1,label:m2[b].label,box:t0.map(M=>Math.trunc(M)),boxRaw:n0};r.push(j0)}}S0.dispose([d,y,u,T])}let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),a=r.map(i=>i.score),l=[];if(A&&A.length>0){let i=await S0.image.nonMaxSuppressionAsync(A,a,n.object.maxDetected||0,n.object.iouThreshold,n.object.minConfidence);l=Array.from(await i.data()),S0.dispose(i)}return r=r.filter((i,f)=>l.includes(f)).sort((i,f)=>f.score-i.score),r}async function m1(e,t){if(!(ce!=null&&ce.executor))return[];let n=(t.object.skipTime||0)>v()-ho,o=f1<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&Wt.length>0?(f1++,Wt):(f1=0,!R.kernels.includes("mod")||!R.kernels.includes("sparsetodense")?Wt:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=S0.image.resizeBilinear(e,[Ft,Ft],!1),a=S0.div(A,C.tf255),l=S0.transpose(a,[0,3,1,2]),c;t.object.enabled&&(c=ce.execute(l)),ho=v();let x=await QA(c,s,t);Wt=x,S0.dispose([A,a,l,...c]),r(x)}))}var V0=G(H());var B2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_A=B2.length,F2=B2.reduce((e,t,n)=>(e[t]=n,e),{}),$A=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],V7=$A.map(([e,t])=>[F2[e],F2[t]]),To=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function vo(e){let t=e.reduce(({maxX:n,maxY:o,minX:r,minY:s},{position:{x:A,y:a}})=>({maxX:Math.max(n,A),maxY:Math.max(o,a),minX:Math.min(r,A),minY:Math.min(s,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Ro(e,[t,n],[o,r]){let s=t/o,A=n/r,a=(c,x)=>({id:x,score:c.score,boxRaw:[c.box[0]/r,c.box[1]/o,c.box[2]/r,c.box[3]/o],box:[Math.trunc(c.box[0]*A),Math.trunc(c.box[1]*s),Math.trunc(c.box[2]*A),Math.trunc(c.box[3]*s)],keypoints:c.keypoints.map(({score:i,part:f,position:d})=>({score:i,part:f,position:[Math.trunc(d.x*A),Math.trunc(d.y*s)],positionRaw:[d.x/o,d.y/o]})),annotations:{}});return e.map((c,x)=>a(c,x))}var Bt=class{constructor(t,n){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let n=2*t;if(nn?n:e}function Mo(e,t,n,o){let r=n-e,s=o-t;return r*r+s*s}function b1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var te,ta=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],Ht=1,M2=16,na=50**2;function Po(e,t,n,o,r,s,A=2){let a=T=>({y:s.get(T.y,T.x,e),x:s.get(T.y,T.x,s.shape[2]/2+e)}),l=(T,g,p)=>({y:h1(Math.round(T.y/M2),0,g-1),x:h1(Math.round(T.x/M2),0,p-1)}),[c,x]=o.shape,i=l(t.position,c,x),f=a(i),m=b1(t.position,f);for(let T=0;T[F2[f],F2[d]]),A=s.map(([,f])=>f),a=s.map(([f])=>f),l=t.shape[2],c=A.length,x=new Array(l),i=u1(e.part,M2,n);x[e.part.id]={score:e.score,part:B2[e.part.id],position:i};for(let f=c-1;f>=0;--f){let d=A[f],m=a[f];x[d]&&!x[m]&&(x[m]=Po(f,x[d],m,t,n,r))}for(let f=0;ft){a=!1;break}if(!a)break}return a}function sa(e,t){let[n,o,r]=t.shape,s=new Bt(n*o*r,({score:A})=>A);for(let A=0;A{var A;let s=(A=r[o])==null?void 0:A.position;return s?Mo(n,t,s.y,s.x)<=na:!1})}function Aa(e,t){return t.reduce((o,{position:r,score:s},A)=>(ko(e,r,A)||(o+=s),o),0)/t.length}function aa(e,t,n,o,r,s){let A=[],a=sa(s,t);for(;A.lengthd.score>s);let i=Aa(A,x),f=vo(x);i>s&&A.push({keypoints:x,box:f,score:Math.round(100*i)/100})}return A}async function g1(e,t){if(!(te!=null&&te.executor))return[];let n=V0.tidy(()=>{if(!te.inputs[0].shape)return[];let A=V0.image.resizeBilinear(e,[te.inputs[0].shape[2],te.inputs[0].shape[1]]),a=V0.sub(V0.div(V0.cast(A,"float32"),127.5),1),c=te.execute(a,ta).map(x=>V0.squeeze(x,[0]));return c[1]=V0.sigmoid(c[1]),c}),o=await Promise.all(n.map(A=>A.buffer()));for(let A of n)V0.dispose(A);let r=aa(o[0],o[1],o[2],o[3],t.body.maxDetected,t.body.minConfidence);return te.inputs[0].shape?Ro(r,[e.shape[1],e.shape[2]],[te.inputs[0].shape[2],te.inputs[0].shape[1]]):[]}async function wo(e){return!te||R.initial?te=await L(e.body.modelPath):e.debug&&h("cached model:",te.modelUrl),te}var F=G(H());var ve,ia=["fgr","pha","r1o","r2o","r3o","r4o"],g0={},v1=0;function So(e){F.dispose([g0.r1i,g0.r2i,g0.r3i,g0.r4i,g0.downsample_ratio]),g0.r1i=F.tensor(0),g0.r2i=F.tensor(0),g0.r3i=F.tensor(0),g0.r4i=F.tensor(0),v1=e.segmentation.ratio||.5,g0.downsample_ratio=F.tensor(v1)}async function R1(e){return!ve||R.initial?ve=await L(e.segmentation.modelPath):e.debug&&h("cached model:",ve.modelUrl),So(e),ve}var zo=e=>F.tidy(()=>{let t=F.squeeze(e,[0]),n=F.mul(t,C.tf255);return F.cast(n,"int32")});function T1(e,t){let n=e?zo(e):F.fill([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),o=t?zo(t):F.fill([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),r=F.concat([n,o],-1);return F.dispose([n,o]),r}function la(e){return F.tidy(()=>{let t={};return t.unstack=F.unstack(e,-1),t.concat=F.concat(t.unstack,1),t.split=F.split(t.concat,4,1),t.stack=F.concat(t.split,2),t.squeeze=F.squeeze(t.stack,[0]),t.expand=F.expandDims(t.squeeze,-1),t.add=F.add(t.expand,1),t.mul=F.mul(t.add,127.5),t.cast=F.cast(t.mul,"int32"),t.tile=F.tile(t.cast,[1,1,3]),t.alpha=F.fill([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),F.concat([t.tile,t.alpha],-1)})}async function jo(e,t){if(ve||(ve=await R1(t)),!(ve!=null&&ve.executor))return null;g0.src=F.div(e,255),v1!==t.segmentation.ratio&&So(t);let[n,o,r,s,A,a]=await ve.executeAsync(g0,ia),l;switch(t.segmentation.mode||"default"){case"default":l=T1(n,o);break;case"alpha":l=T1(null,o);break;case"foreground":l=T1(n,null);break;case"state":l=la(r);break;default:l=F.tensor(0)}return F.dispose([g0.src,n,o,g0.r1i,g0.r2i,g0.r3i,g0.r4i]),[g0.r1i,g0.r2i,g0.r3i,g0.r4i]=[r,s,A,a],l}var z0=G(H());var O0;async function M1(e){return!O0||R.initial?O0=await L(e.segmentation.modelPath):e.debug&&h("cached model:",O0.modelUrl),O0}async function No(e,t){var r;if(O0||(O0=await M1(t)),!(O0!=null&&O0.executor)||!((r=O0==null?void 0:O0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=z0.image.resizeBilinear(e,[O0.inputs[0].shape?O0.inputs[0].shape[1]:0,O0.inputs[0].shape?O0.inputs[0].shape[2]:0],!1),n.norm=z0.div(n.resize,C.tf255),n.res=O0.execute(n.norm),n.squeeze=z0.squeeze(n.res,[0]),n.alpha=z0.image.resizeBilinear(n.squeeze,[e.shape[1]||0,e.shape[2]||0]),n.mul=z0.mul(n.alpha,C.tf255);let o;switch(t.segmentation.mode||"default"){case"default":n.input=z0.squeeze(e),n.concat=z0.concat([n.input,n.mul],-1),o=z0.cast(n.concat,"int32");break;case"alpha":o=z0.cast(n.mul,"int32");break;default:o=z0.tensor(0)}return Object.keys(n).forEach(s=>z0.dispose(n[s])),o}function Gt(e,t,n){var c,x;if(!t||!((c=e==null?void 0:e.config)!=null&&c.validateModels))return null;let o=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],r=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],s=[],A=[],a=t.modelUrl,l=t.executor;if((x=l==null?void 0:l.graph)!=null&&x.nodes)for(let i of Object.values(l.graph.nodes)){let f=i.op.toLowerCase();s.includes(f)||s.push(f)}else!l&&e.config.debug&&h("model not loaded",n);for(let i of s)!o.includes(i)&&!r.includes(i)&&!e.env.kernels.includes(i)&&!e.env.kernels.includes(i.replace("_",""))&&!e.env.kernels.includes(i.replace("native",""))&&!e.env.kernels.includes(i.replace("v2",""))&&A.push(i);return e.config.debug&&A.length>0&&h("model validation failed:",n,A),A.length>0?{name:n,missing:A,ops:s,url:a}:null}var H2=class{constructor(t){w(this,"instance");w(this,"models",{});this.models={},this.instance=t}stats(){let t=0,n=0,o=0;for(let s of Object.values(I0))t+=s.sizeFromManifest,n+=s.sizeLoadedWeights,o+=s.sizeDesired;let r=o>0?n/o:0;return{numLoadedModels:Object.values(I0).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:r,totalSizeFromManifest:t,totalSizeWeights:n,totalSizeLoading:o,modelStats:Object.values(I0)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var o,r,s,A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0;R.initial&&this.reset(),t&&(this.instance=t);let n={};n.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?P3(this.instance.config):null,n.antispoof=this.instance.config.face.enabled&&((o=this.instance.config.face.antispoof)!=null&&o.enabled)&&!this.models.antispoof?J3(this.instance.config):null,n.liveness=this.instance.config.face.enabled&&((r=this.instance.config.face.liveness)!=null&&r.enabled)&&!this.models.liveness?en(this.instance.config):null,n.faceres=this.instance.config.face.enabled&&((s=this.instance.config.face.description)!=null&&s.enabled)&&!this.models.faceres?X3(this.instance.config):null,n.emotion=this.instance.config.face.enabled&&((A=this.instance.config.face.emotion)!=null&&A.enabled)&&!this.models.emotion?H3(this.instance.config):null,n.iris=this.instance.config.face.enabled&&((a=this.instance.config.face.iris)!=null&&a.enabled)&&!((l=this.instance.config.face.attention)!=null&&l.enabled)&&!this.models.iris?j3(this.instance.config):null,n.facemesh=this.instance.config.face.enabled&&((c=this.instance.config.face.mesh)!=null&&c.enabled)&&!this.models.facemesh?C3(this.instance.config):null,n.gear=this.instance.config.face.enabled&&((x=this.instance.config.face.gear)!=null&&x.enabled)&&!this.models.gear?rn(this.instance.config):null,n.ssrnetage=this.instance.config.face.enabled&&((i=this.instance.config.face.ssrnet)!=null&&i.enabled)&&!this.models.ssrnetage?ln(this.instance.config):null,n.ssrnetgender=this.instance.config.face.enabled&&((f=this.instance.config.face.ssrnet)!=null&&f.enabled)&&!this.models.ssrnetgender?yn(this.instance.config):null,n.mobilefacenet=this.instance.config.face.enabled&&((d=this.instance.config.face.mobilefacenet)!=null&&d.enabled)&&!this.models.mobilefacenet?hn(this.instance.config):null,n.insightface=this.instance.config.face.enabled&&((m=this.instance.config.face.insightface)!=null&&m.enabled)&&!this.models.insightface?Rn(this.instance.config):null,n.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((y=this.instance.config.body.modelPath)!=null&&y.includes("blazepose"))?A3(this.instance.config):null,n.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?s3(this.instance.config):null,n.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((u=this.instance.config.body.modelPath)!=null&&u.includes("efficientpose"))?x3(this.instance.config):null,n.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((T=this.instance.config.body.modelPath)!=null&&T.includes("movenet"))?po(this.instance.config):null,n.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((g=this.instance.config.body.modelPath)!=null&&g.includes("posenet"))?wo(this.instance.config):null,n.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((b=(p=this.instance.config.hand.detector)==null?void 0:p.modelPath)!=null&&b.includes("handtrack"))?ro(this.instance.config):null,n.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((P=(k=this.instance.config.hand.detector)==null?void 0:k.modelPath)!=null&&P.includes("handtrack"))?so(this.instance.config):null,(V=(N=this.instance.config.hand.detector)==null?void 0:N.modelPath)!=null&&V.includes("handdetect")&&([n.handpose,n.handskeleton]=this.models.handpose?[null,null]:await $n(this.instance.config)),n.centernet=this.instance.config.object.enabled&&!this.models.centernet&&((_=this.instance.config.object.modelPath)!=null&&_.includes("centernet"))?l3(this.instance.config):null,n.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((Z=this.instance.config.object.modelPath)!=null&&Z.includes("nanodet"))?bo(this.instance.config):null,n.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&(($=this.instance.config.segmentation.modelPath)!=null&&$.includes("selfie"))?M1(this.instance.config):null,n.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((A0=this.instance.config.segmentation.modelPath)!=null&&A0.includes("meet"))?l1(this.instance.config):null,n.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((n0=this.instance.config.segmentation.modelPath)!=null&&n0.includes("rvm"))?R1(this.instance.config):null;for(let[t0,j0]of Object.entries(n))j0!=null&&j0.then&&j0.then(M=>this.models[t0]=M);await Promise.all(Object.values(n))}list(){let t=Object.keys(this.models).map(n=>{var o;return{name:n,loaded:this.models[n]!==null,size:0,url:this.models[n]?(o=this.models[n])==null?void 0:o.modelUrl:null}});for(let n of t){let o=Object.keys(I0).find(r=>r.startsWith(n.name));o&&(n.size=I0[o].sizeLoadedWeights,n.url=I0[o].url)}return t}loaded(){return this.list().filter(o=>o.loaded).map(o=>o.name)}validate(){let t=[];for(let n of Object.keys(this.models)){let o=this.models[n];if(!o)continue;let r=Gt(this.instance,o,n);r&&t.push(r)}return t}};function Oo(e,t,n,o,r){var a,l,c,x,i,f;let s=0,A=[];for(let d of e){let m={id:s++,face:d,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let b of t)d.box[0]>b.box[0]&&d.box[0]b.box[1]&&d.box[1]+d.box[3]m.body.box[0]&&b.box[0]+b.box[2]m.body.box[1]&&b.box[1]+b.box[3]m.body.box[0]&&b.box[1]+b.box[3]>m.body.box[1]&&b.box[1]+b.box[3]{b&&b.length===4&&(y.push(b[0],b[0]+b[2]),u.push(b[1],b[1]+b[3]))};T(m.face.box),T((x=m.body)==null?void 0:x.box),T((i=m.hands.left)==null?void 0:i.box),T((f=m.hands.right)==null?void 0:f.box);let g=Math.min(...y),p=Math.min(...u);m.box=[g,p,Math.max(...y)-g,Math.max(...u)-p],r!=null&&r[1]&&(r!=null&&r[2])&&(m.boxRaw=[m.box[0]/r[2],m.box[1]/r[1],m.box[2]/r[2],m.box[3]/r[1]]),A.push(m)}return A}var d0=G(H());var Vt=` + gaze: [gaze]\xB0`, + body: "body [score]%", + bodyPart: "[label] [score]%", + object: "[label] [score]%", + hand: "[label] [score]%", + finger: "[label]", + gesture: "[where] [who]: [what]" +}; + +// src/draw/draw.ts +var drawTime = 0; +function person(inCanvas2, result, drawOptions) { + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (let i = 0; i < result.length; i++) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels) { + const label = `person #${i}`; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.stroke(); + } + } +} +function canvas2(input, output) { + if (!input || !output) + return; + const ctx = getCanvasContext(output); + if (!ctx) + return; + ctx.drawImage(input, 0, 0); +} +async function all(inCanvas2, result, drawOptions) { + if (!(result == null ? void 0 : result.performance) || !inCanvas2) + return null; + const timeStamp = now(); + const localOptions2 = mergeDeep(options2, drawOptions); + const promise = Promise.all([ + face(inCanvas2, result.face, localOptions2), + body(inCanvas2, result.body, localOptions2), + hand(inCanvas2, result.hand, localOptions2), + object(inCanvas2, result.object, localOptions2), + gesture(inCanvas2, result.gesture, localOptions2) + // gestures do not have buffering + // person(inCanvas, result.persons, localOptions); // already included above + ]); + drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp); + result.performance.draw = drawTime; + return promise; +} +function init2() { + options2.faceLabels = defaultLabels.face; + options2.bodyLabels = defaultLabels.body; + options2.bodyPartLabels = defaultLabels.bodyPart; + options2.handLabels = defaultLabels.hand; + options2.fingerLabels = defaultLabels.finger; + options2.objectLabels = defaultLabels.object; + options2.gestureLabels = defaultLabels.gesture; +} + +// src/body/blazepose.ts +var tf9 = __toESM(require_tfjs_esm()); + +// src/body/blazeposecoords.ts +var blazeposecoords_exports = {}; +__export(blazeposecoords_exports, { + connected: () => connected, + kpt: () => kpt +}); +var kpt = [ + "nose", + // 0 + "leftEyeInside", + // 1 + "leftEye", + // 2 + "leftEyeOutside", + // 3 + "rightEyeInside", + // 4 + "rightEye", + // 5 + "rightEyeOutside", + // 6 + "leftEar", + // 7 + "rightEar", + // 8 + "leftMouth", + // 9 + "rightMouth", + // 10 + "leftShoulder", + // 11 + "rightShoulder", + // 12 + "leftElbow", + // 13 + "rightElbow", + // 14 + "leftWrist", + // 15 + "rightWrist", + // 16 + "leftPinky", + // 17 + "rightPinky", + // 18 + "leftIndex", + // 19 + "rightIndex", + // 20 + "leftThumb", + // 21 + "rightThumb", + // 22 + "leftHip", + // 23 + "rightHip", + // 24 + "leftKnee", + // 25 + "rightKnee", + // 26 + "leftAnkle", + // 27 + "rightAnkle", + // 28 + "leftHeel", + // 29 + "rightHeel", + // 30 + "leftFoot", + // 31 + "rightFoot", + // 32 + "bodyCenter", + // 33 + "bodyTop", + // 34 + "leftPalm", + // 35 // z-coord not ok + "leftHand", + // 36 // similar to wrist but z-coord not ok + "rightPalm", + // 37 // z-coord not ok + "rightHand" + // 38 // similar to wrist but z-coord not ok +]; +var connected = { + shoulders: ["leftShoulder", "rightShoulder"], + hips: ["rightHip", "leftHip"], + mouth: ["leftMouth", "rightMouth"], + leftLegUpper: ["leftHip", "leftKnee"], + leftLegLower: ["leftKnee", "leftAnkle"], + leftFoot: ["leftAnkle", "leftHeel", "leftFoot"], + leftTorso: ["leftShoulder", "leftHip"], + leftArmUpper: ["leftShoulder", "leftElbow"], + leftArmLower: ["leftElbow", "leftWrist"], + leftHand: ["leftWrist", "leftPalm"], + leftHandPinky: ["leftPalm", "leftPinky"], + leftHandIndex: ["leftPalm", "leftIndex"], + leftHandThumb: ["leftPalm", "leftThumb"], + leftEyeOutline: ["leftEyeInside", "leftEyeOutside"], + rightLegUpper: ["rightHip", "rightKnee"], + rightLegLower: ["rightKnee", "rightAnkle"], + rightFoot: ["rightAnkle", "rightHeel", "rightFoot"], + rightTorso: ["rightShoulder", "rightHip"], + rightArmUpper: ["rightShoulder", "rightElbow"], + rightArmLower: ["rightElbow", "rightWrist"], + rightHand: ["rightWrist", "rightPalm"], + rightHandPinky: ["rightPalm", "rightPinky"], + rightHandIndex: ["rightPalm", "rightIndex"], + rightHandThumb: ["rightPalm", "rightThumb"], + rightEyeOutline: ["rightEyeInside", "rightEyeOutside"] +}; + +// src/body/blazeposedetector.ts +var tf8 = __toESM(require_tfjs_esm()); +var model; +var inputSize = 224; +var anchorTensor; +var numLayers = 5; +var strides = [8, 16, 32, 32, 32]; +function createAnchors() { + const anchors3 = []; + let layerId = 0; + while (layerId < numLayers) { + let anchorCount = 0; + let lastSameStrideLayer = layerId; + while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) { + anchorCount += 2; + lastSameStrideLayer++; + } + const stride = strides[layerId]; + const featureMapHeight = Math.ceil(inputSize / stride); + const featureMapWidth = Math.ceil(inputSize / stride); + for (let y = 0; y < featureMapHeight; ++y) { + for (let x = 0; x < featureMapWidth; ++x) { + for (let anchorId = 0; anchorId < anchorCount; ++anchorId) { + anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight }); + } + } + } + layerId = lastSameStrideLayer; + } + anchorTensor = { x: tf8.tensor1d(anchors3.map((a) => a.x)), y: tf8.tensor1d(anchors3.map((a) => a.y)) }; +} +async function loadDetector(config3) { + if (env.initial) + model = null; + if (!model && config3.body["detector"] && config3.body["detector"].modelPath || "") { + model = await loadModel(config3.body["detector"].modelPath); + const inputs = (model == null ? void 0 : model["executor"]) ? Object.values(model.modelSignature["inputs"]) : void 0; + inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug && model) + log("cached model:", model["modelUrl"]); + createAnchors(); + return model; +} +var cropFactor = [5, 5]; +function decodeBoxes(boxesTensor, anchor) { + return tf8.tidy(() => { + const split6 = tf8.split(boxesTensor, 12, 1); + let xCenter = tf8.squeeze(split6[0]); + let yCenter = tf8.squeeze(split6[1]); + let width = tf8.squeeze(split6[2]); + let height = tf8.squeeze(split6[3]); + xCenter = tf8.add(tf8.div(xCenter, inputSize), anchor.x); + yCenter = tf8.add(tf8.div(yCenter, inputSize), anchor.y); + width = tf8.mul(tf8.div(width, inputSize), cropFactor[0]); + height = tf8.mul(tf8.div(height, inputSize), cropFactor[1]); + const xMin = tf8.sub(xCenter, tf8.div(width, 2)); + const yMin = tf8.sub(yCenter, tf8.div(height, 2)); + const xMax = tf8.add(xMin, width); + const yMax = tf8.add(yMin, height); + const boxes = tf8.stack([xMin, yMin, xMax, yMax], 1); + return boxes; + }); +} +async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { + var _a, _b; + const detectedBoxes = []; + const t2 = {}; + t2.boxes = decodeBoxes(boxesTensor, anchorTensor); + t2.scores = tf8.sigmoid(logitsTensor); + t2.nms = await tf8.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, 1, ((_a = config3.body["detector"]) == null ? void 0 : _a.minConfidence) || 0.1, ((_b = config3.body["detector"]) == null ? void 0 : _b.iouThreshold) || 0.1); + const nms = await t2.nms.data(); + const scores = await t2.scores.data(); + const boxes = await t2.boxes.array(); + for (const i of Array.from(nms)) { + const score = scores[i]; + const boxRaw = boxes[i]; + const box = [Math.round(boxRaw[0] * outputSize2[0]), Math.round(boxRaw[1] * outputSize2[1]), Math.round(boxRaw[2] * outputSize2[0]), Math.round(boxRaw[3] * outputSize2[1])]; + const detectedBox = { score, boxRaw, box }; + detectedBoxes.push(detectedBox); + } + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return detectedBoxes; +} +async function detectBoxes(input, config3, outputSize2) { + const t2 = {}; + t2.res = model == null ? void 0 : model.execute(input, ["Identity"]); + t2.logitsRaw = tf8.slice(t2.res, [0, 0, 0], [1, -1, 1]); + t2.boxesRaw = tf8.slice(t2.res, [0, 0, 1], [1, -1, -1]); + t2.logits = tf8.squeeze(t2.logitsRaw); + t2.boxes = tf8.squeeze(t2.boxesRaw); + const boxes = await decodeResults(t2.boxes, t2.logits, config3, outputSize2); + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return boxes; +} + +// src/util/box.ts +function calc(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const box = [min2[0], min2[1], max5[0] - min2[0], max5[1] - min2[1]]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function square(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const center = [(min2[0] + max5[0]) / 2, (min2[1] + max5[1]) / 2]; + const dist = Math.max(center[0] - min2[0], center[1] - min2[1], -center[0] + max5[0], -center[1] + max5[1]); + const box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function scale(box, scaleFact) { + const dist = [box[2] * scaleFact, box[3] * scaleFact]; + const newBox = [ + box[0] - (dist[0] - box[2]) / 2, + box[1] - (dist[1] - box[3]) / 2, + dist[0], + dist[1] + ]; + return newBox; +} + +// src/body/blazepose.ts +var model2; +var inputSize2 = 256; +var skipped = Number.MAX_SAFE_INTEGER; +var outputNodes = { + landmarks: ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"], + detector: [] +}; +var cache = []; +var padding = [[0, 0], [0, 0], [0, 0], [0, 0]]; +var lastTime = 0; +var sigmoid2 = (x) => 1 - 1 / (1 + Math.exp(x)); +var loadDetect = (config3) => loadDetector(config3); +async function loadPose(config3) { + if (env.initial) + model2 = null; + if (!model2) { + model2 = await loadModel(config3.body.modelPath); + const inputs = (model2 == null ? void 0 : model2["executor"]) ? Object.values(model2.modelSignature["inputs"]) : void 0; + inputSize2 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug) + log("cached model:", model2["modelUrl"]); + return model2; +} +function prepareImage(input, size2, cropBox) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + let final; + if (cropBox) { + t2.cropped = tf9.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); + } + if (input.shape[1] !== input.shape[2]) { + const height = [ + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0 + ]; + const width = [ + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0 + ]; + padding = [ + [0, 0], + // dont touch batch + height, + // height before&after + width, + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf9.pad(t2.cropped || input, padding); + t2.resize = tf9.image.resizeBilinear(t2.pad, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else if (input.shape[1] !== size2) { + t2.resize = tf9.image.resizeBilinear(t2.cropped || input, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else { + final = tf9.div(t2.cropped || input, constants.tf255); + } + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + return final; +} +function rescaleKeypoints(keypoints, outputSize2, cropBox) { + for (const kpt4 of keypoints) { + kpt4.position = [ + Math.trunc(kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0]), + Math.trunc(kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0]), + kpt4.position[2] + ]; + kpt4.positionRaw = [kpt4.position[0] / outputSize2[0], kpt4.position[1] / outputSize2[1], 2 * kpt4.position[2] / (outputSize2[0] + outputSize2[1])]; + } + if (cropBox) { + const width = cropBox[2] - cropBox[0]; + const height = cropBox[3] - cropBox[1]; + for (const kpt4 of keypoints) { + kpt4.positionRaw = [ + kpt4.positionRaw[0] / height + cropBox[1], + // correct offset due to crop + kpt4.positionRaw[1] / width + cropBox[0], + // correct offset due to crop + kpt4.positionRaw[2] + ]; + kpt4.position = [ + Math.trunc(kpt4.positionRaw[0] * outputSize2[0]), + Math.trunc(kpt4.positionRaw[1] * outputSize2[1]), + kpt4.positionRaw[2] + ]; + } + } + return keypoints; +} +function fixKeypoints(keypoints) { + const leftPalm = keypoints.find((k) => k.part === "leftPalm"); + const leftWrist = keypoints.find((k) => k.part === "leftWrist"); + const leftIndex = keypoints.find((k) => k.part === "leftIndex"); + leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2; + const rightPalm = keypoints.find((k) => k.part === "rightPalm"); + const rightWrist = keypoints.find((k) => k.part === "rightWrist"); + const rightIndex = keypoints.find((k) => k.part === "rightIndex"); + rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2; +} +async function detectLandmarks(input, config3, outputSize2) { + if (!(model2 == null ? void 0 : model2["executor"])) + return null; + const t2 = {}; + [ + t2.ld, + t2.segmentation, + t2.heatmap, + t2.world, + t2.poseflag + /* 1,1 */ + ] = model2 == null ? void 0 : model2.execute(input, outputNodes.landmarks); + const poseScore = (await t2.poseflag.data())[0]; + const points = await t2.ld.data(); + const distances = await t2.world.data(); + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + const keypointsRelative = []; + const depth = 5; + for (let i = 0; i < points.length / depth; i++) { + const score = sigmoid2(points[depth * i + 3]); + const presence = sigmoid2(points[depth * i + 4]); + const adjScore = Math.trunc(100 * score * presence * poseScore) / 100; + const positionRaw = [points[depth * i + 0] / inputSize2, points[depth * i + 1] / inputSize2, points[depth * i + 2] + 0]; + const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]]; + const distance2 = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0]; + keypointsRelative.push({ part: kpt[i], positionRaw, position, distance: distance2, score: adjScore }); + } + if (poseScore < (config3.body.minConfidence || 0)) + return null; + fixKeypoints(keypointsRelative); + const keypoints = rescaleKeypoints(keypointsRelative, outputSize2); + const kpts = keypoints.map((k) => k.position); + const boxes = calc(kpts, [outputSize2[0], outputSize2[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations: annotations2 }; + return body4; +} +async function predict(input, config3) { + var _a, _b, _c; + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime; + const skipFrame = skipped < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && cache !== null) { + skipped++; + } else { + let boxes = []; + if ((_b = (_a = config3.body) == null ? void 0 : _a["detector"]) == null ? void 0 : _b["enabled"]) { + const preparedImage = prepareImage(input, 224); + boxes = await detectBoxes(preparedImage, config3, outputSize2); + tf9.dispose(preparedImage); + } else { + boxes = [{ box: [0, 0, 0, 0], boxRaw: [0, 0, 1, 1], score: 0 }]; + } + for (let i = 0; i < boxes.length; i++) { + const preparedBox = prepareImage(input, 256, (_c = boxes[i]) == null ? void 0 : _c.boxRaw); + cache.length = 0; + const bodyResult = await detectLandmarks(preparedBox, config3, outputSize2); + tf9.dispose(preparedBox); + if (!bodyResult) + continue; + bodyResult.id = i; + cache.push(bodyResult); + } + lastTime = now(); + skipped = 0; + } + return cache; +} + +// src/object/centernet.ts +var tf10 = __toESM(require_tfjs_esm()); + +// src/object/labels.ts +var labels2 = [ + { class: 1, label: "person" }, + { class: 2, label: "bicycle" }, + { class: 3, label: "car" }, + { class: 4, label: "motorcycle" }, + { class: 5, label: "airplane" }, + { class: 6, label: "bus" }, + { class: 7, label: "train" }, + { class: 8, label: "truck" }, + { class: 9, label: "boat" }, + { class: 10, label: "traffic light" }, + { class: 11, label: "fire hydrant" }, + { class: 12, label: "stop sign" }, + { class: 13, label: "parking meter" }, + { class: 14, label: "bench" }, + { class: 15, label: "bird" }, + { class: 16, label: "cat" }, + { class: 17, label: "dog" }, + { class: 18, label: "horse" }, + { class: 19, label: "sheep" }, + { class: 20, label: "cow" }, + { class: 21, label: "elephant" }, + { class: 22, label: "bear" }, + { class: 23, label: "zebra" }, + { class: 24, label: "giraffe" }, + { class: 25, label: "backpack" }, + { class: 26, label: "umbrella" }, + { class: 27, label: "handbag" }, + { class: 28, label: "tie" }, + { class: 29, label: "suitcase" }, + { class: 30, label: "frisbee" }, + { class: 31, label: "skis" }, + { class: 32, label: "snowboard" }, + { class: 33, label: "sports ball" }, + { class: 34, label: "kite" }, + { class: 35, label: "baseball bat" }, + { class: 36, label: "baseball glove" }, + { class: 37, label: "skateboard" }, + { class: 38, label: "surfboard" }, + { class: 39, label: "tennis racket" }, + { class: 40, label: "bottle" }, + { class: 41, label: "wine glass" }, + { class: 42, label: "cup" }, + { class: 43, label: "fork" }, + { class: 44, label: "knife" }, + { class: 45, label: "spoon" }, + { class: 46, label: "bowl" }, + { class: 47, label: "banana" }, + { class: 48, label: "apple" }, + { class: 49, label: "sandwich" }, + { class: 50, label: "orange" }, + { class: 51, label: "broccoli" }, + { class: 52, label: "carrot" }, + { class: 53, label: "hot dog" }, + { class: 54, label: "pizza" }, + { class: 55, label: "donut" }, + { class: 56, label: "cake" }, + { class: 57, label: "chair" }, + { class: 58, label: "couch" }, + { class: 59, label: "potted plant" }, + { class: 60, label: "bed" }, + { class: 61, label: "dining table" }, + { class: 62, label: "toilet" }, + { class: 63, label: "tv" }, + { class: 64, label: "laptop" }, + { class: 65, label: "mouse" }, + { class: 66, label: "remote" }, + { class: 67, label: "keyboard" }, + { class: 68, label: "cell phone" }, + { class: 69, label: "microwave" }, + { class: 70, label: "oven" }, + { class: 71, label: "toaster" }, + { class: 72, label: "sink" }, + { class: 73, label: "refrigerator" }, + { class: 74, label: "book" }, + { class: 75, label: "clock" }, + { class: 76, label: "vase" }, + { class: 77, label: "scissors" }, + { class: 78, label: "teddy bear" }, + { class: 79, label: "hair drier" }, + { class: 80, label: "toothbrush" } +]; + +// src/object/centernet.ts +var model3; +var inputSize3 = 0; +var last2 = []; +var lastTime2 = 0; +var skipped2 = Number.MAX_SAFE_INTEGER; +async function load(config3) { + if (env.initial) + model3 = null; + if (!model3) { + model3 = await loadModel(config3.object.modelPath); + const inputs = (model3 == null ? void 0 : model3["executor"]) ? Object.values(model3.modelSignature["inputs"]) : void 0; + inputSize3 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", model3["modelUrl"]); + return model3; +} +async function process3(res, outputShape, config3) { + if (!res) + return []; + const t2 = {}; + const results = []; + const detections = await res.array(); + t2.squeeze = tf10.squeeze(res); + const arr = tf10.split(t2.squeeze, 6, 1); + t2.stack = tf10.stack([arr[1], arr[0], arr[3], arr[2]], 1); + t2.boxes = tf10.squeeze(t2.stack); + t2.scores = tf10.squeeze(arr[4]); + t2.classes = tf10.squeeze(arr[5]); + tf10.dispose([res, ...arr]); + t2.nms = await tf10.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); + const nms = await t2.nms.data(); + let i = 0; + for (const id of Array.from(nms)) { + const score = Math.trunc(100 * detections[0][id][4]) / 100; + const classVal = detections[0][id][5]; + if (Number.isNaN(classVal)) + continue; + const label = labels2[classVal].label; + const [x, y] = [ + detections[0][id][0] / inputSize3, + detections[0][id][1] / inputSize3 + ]; + const boxRaw = [ + x, + y, + detections[0][id][2] / inputSize3 - x, + detections[0][id][3] / inputSize3 - y + ]; + const box = [ + Math.trunc(boxRaw[0] * outputShape[0]), + Math.trunc(boxRaw[1] * outputShape[1]), + Math.trunc(boxRaw[2] * outputShape[0]), + Math.trunc(boxRaw[3] * outputShape[1]) + ]; + results.push({ id: i++, score, class: classVal, label, box, boxRaw }); + } + Object.keys(t2).forEach((tensor6) => tf10.dispose(t2[tensor6])); + return results; +} +async function predict2(input, config3) { + if (!(model3 == null ? void 0 : model3["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime2; + const skipFrame = skipped2 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last2.length > 0) { + skipped2++; + return last2; + } + skipped2 = 0; + return new Promise(async (resolve) => { + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const resize = tf10.image.resizeBilinear(input, [inputSize3, inputSize3]); + const objectT = config3.object.enabled ? model3 == null ? void 0 : model3.execute(resize, ["tower_0/detections"]) : null; + lastTime2 = now(); + tf10.dispose(resize); + const obj = await process3(objectT, outputSize2, config3); + last2 = obj; + resolve(obj); + }); +} + +// src/body/efficientpose.ts +var tf11 = __toESM(require_tfjs_esm()); + +// src/body/efficientposecoords.ts +var efficientposecoords_exports = {}; +__export(efficientposecoords_exports, { + connected: () => connected2, + kpt: () => kpt2 +}); +var kpt2 = [ + "head", + "neck", + "rightShoulder", + "rightElbow", + "rightWrist", + "chest", + "leftShoulder", + "leftElbow", + "leftWrist", + "bodyCenter", + "rightHip", + "rightKnee", + "rightAnkle", + "leftHip", + "leftKnee", + "leftAnkle" +]; +var connected2 = { + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/body/efficientpose.ts +var model4; +var lastTime3 = 0; +var cache2 = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} }; +var skipped3 = Number.MAX_SAFE_INTEGER; +async function load2(config3) { + if (env.initial) + model4 = null; + if (!model4) + model4 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model4["modelUrl"]); + return model4; +} +async function max2d(inputs, minScore) { + const [width, height] = inputs.shape; + const reshaped = tf11.reshape(inputs, [height * width]); + const max5 = tf11.max(reshaped, 0); + const newScore = (await max5.data())[0]; + if (newScore > minScore) { + const coordinates = tf11.argMax(reshaped, 0); + const mod3 = tf11.mod(coordinates, width); + const x = (await mod3.data())[0]; + const div15 = tf11.div(coordinates, width); + const y = (await div15.data())[0]; + tf11.dispose([reshaped, max5, coordinates, mod3, div15]); + return [x, y, newScore]; + } + tf11.dispose([reshaped, max5]); + return [0, 0, newScore]; +} +async function predict3(image28, config3) { + if (!(model4 == null ? void 0 : model4["executor"]) || !(model4 == null ? void 0 : model4.inputs[0].shape)) + return []; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime3; + const skipFrame = skipped3 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && Object.keys(cache2.keypoints).length > 0) { + skipped3++; + return [cache2]; + } + skipped3 = 0; + return new Promise(async (resolve) => { + const tensor6 = tf11.tidy(() => { + var _a, _b; + const resize = tf11.image.resizeBilinear(image28, [((_a = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a[2]) || 0, ((_b = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b[1]) || 0], false); + const enhance2 = tf11.mul(resize, constants.tf2); + const norm = tf11.sub(enhance2, constants.tf1); + return norm; + }); + let resT; + if (config3.body.enabled) + resT = model4 == null ? void 0 : model4.execute(tensor6); + lastTime3 = now(); + tf11.dispose(tensor6); + if (resT) { + cache2.keypoints.length = 0; + const squeeze14 = tf11.squeeze(resT); + tf11.dispose(resT); + const stack5 = tf11.unstack(squeeze14, 2); + tf11.dispose(squeeze14); + for (let id = 0; id < stack5.length; id++) { + const [x2, y2, partScore] = await max2d(stack5[id], config3.body.minConfidence); + if (partScore > (config3.body.minConfidence || 0)) { + cache2.keypoints.push({ + score: Math.round(100 * partScore) / 100, + part: kpt2[id], + positionRaw: [ + // normalized to 0..1 + // @ts-ignore model is not undefined here + x2 / model4.inputs[0].shape[2], + y2 / model4.inputs[0].shape[1] + ], + position: [ + // normalized to input image size + // @ts-ignore model is not undefined here + Math.round(image28.shape[2] * x2 / model4.inputs[0].shape[2]), + Math.round(image28.shape[1] * y2 / model4.inputs[0].shape[1]) + ] + }); + } + } + stack5.forEach((s) => tf11.dispose(s)); + } + cache2.score = cache2.keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const x = cache2.keypoints.map((a) => a.position[0]); + const y = cache2.keypoints.map((a) => a.position[1]); + cache2.box = [ + Math.min(...x), + Math.min(...y), + Math.max(...x) - Math.min(...x), + Math.max(...y) - Math.min(...y) + ]; + const xRaw = cache2.keypoints.map((a) => a.positionRaw[0]); + const yRaw = cache2.keypoints.map((a) => a.positionRaw[1]); + cache2.boxRaw = [ + Math.min(...xRaw), + Math.min(...yRaw), + Math.max(...xRaw) - Math.min(...xRaw), + Math.max(...yRaw) - Math.min(...yRaw) + ]; + for (const [name, indexes] of Object.entries(connected2)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + cache2.annotations[name] = pt; + } + resolve([cache2]); + }); +} + +// src/face/face.ts +var tf25 = __toESM(require_tfjs_esm()); + +// src/face/facemesh.ts +var tf15 = __toESM(require_tfjs_esm()); + +// src/face/blazeface.ts +var tf13 = __toESM(require_tfjs_esm()); + +// src/face/facemeshutil.ts +var tf12 = __toESM(require_tfjs_esm()); +var getBoxSize = (box) => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])]; +var getBoxCenter = (box) => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1]; +var clampBox = (box, input) => box ? [ + Math.trunc(Math.max(0, box.startPoint[0])), + Math.trunc(Math.max(0, box.startPoint[1])), + Math.trunc(Math.min(input.shape[2] || 0, box.endPoint[0]) - Math.max(0, box.startPoint[0])), + Math.trunc(Math.min(input.shape[1] || 0, box.endPoint[1]) - Math.max(0, box.startPoint[1])) +] : [0, 0, 0, 0]; +var getRawBox = (box, input) => box ? [ + box.startPoint[0] / (input.shape[2] || 0), + box.startPoint[1] / (input.shape[1] || 0), + (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0), + (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0) +] : [0, 0, 0, 0]; +var scaleBoxCoordinates = (box, factor, anchor) => { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]); + return { startPoint, endPoint, landmarks, confidence: box.confidence }; +}; +var cutAndResize = (box, image28, cropSize) => { + const h = image28.shape[1]; + const w = image28.shape[2]; + const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]; + const crop = tf12.image.cropAndResize(image28, [cutBox], [0], cropSize); + const norm = tf12.div(crop, constants.tf255); + tf12.dispose(crop); + return norm; +}; +var enlargeBox = (box, factor) => { + const center = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + return { + startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]], + endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]], + landmarks: box.landmarks, + confidence: box.confidence, + size: size2 + }; +}; +var squarifyBox = (box) => { + const centers = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = Math.max(...size2) / 2; + return { + startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)], + endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)], + landmarks: box.landmarks, + confidence: box.confidence, + size: [Math.round(size2[0]), Math.round(size2[1])] + }; +}; +var calculateLandmarksBoundingBox = (landmarks) => { + const x = landmarks.map((d) => d[0]); + const y = landmarks.map((d) => d[1]); + return { + startPoint: [Math.min(...x), Math.min(...y)], + endPoint: [Math.max(...x), Math.max(...y)], + landmarks + }; +}; +var fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]; +var normalizeRadians = (angle) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +var computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0])); +var buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +var dot = (v1, v2) => { + let product = 0; + for (let i = 0; i < v1.length; i++) + product += v1[i] * v2[i]; + return product; +}; +var getColumnFrom2DArr = (arr, columnIndex) => { + const column = []; + for (let i = 0; i < arr.length; i++) + column.push(arr[i][columnIndex]); + return column; +}; +var multiplyTransformMatrices = (mat1, mat2) => { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) + product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col))); + } + return product; +}; +var buildRotationMatrix = (rotation, center) => { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]); + return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix); +}; +var invertTransformMatrix = (matrix) => { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)]; + return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]]; +}; +var rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])]; +function generateAnchors(inputSize10) { + const spec = inputSize10 === 192 ? { strides: [4], anchors: [1] } : { strides: [inputSize10 / 16, inputSize10 / 8], anchors: [2, 6] }; + const anchors3 = []; + for (let i = 0; i < spec.strides.length; i++) { + const stride = spec.strides[i]; + const gridRows = Math.floor((inputSize10 + stride - 1) / stride); + const gridCols = Math.floor((inputSize10 + stride - 1) / stride); + const anchorsNum = spec.anchors[i]; + for (let gridY = 0; gridY < gridRows; gridY++) { + const anchorY = stride * (gridY + 0.5); + for (let gridX = 0; gridX < gridCols; gridX++) { + const anchorX = stride * (gridX + 0.5); + for (let n = 0; n < anchorsNum; n++) + anchors3.push([anchorX, anchorY]); + } + } + } + return anchors3; +} +function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize10) { + const boxSize = getBoxSize(box); + const coordsScaled = coordsRaw.map((coord) => [ + // scaled around zero-point + boxSize[0] / inputSize10 * (coord[0] - inputSize10 / 2), + boxSize[1] / inputSize10 * (coord[1] - inputSize10 / 2), + coord[2] || 0 + ]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix; + const coordsRotated = largeAngle ? coordsScaled.map((coord) => [...rotatePoint(coord, coordsRotationMatrix), coord[2]]) : coordsScaled; + const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix; + const boxCenter = getBoxCenter(box); + const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + offsets[0]), + Math.trunc(coord[1] + offsets[1]), + Math.trunc(coord[2] || 0) + ]); +} +function correctFaceRotation(rotate, box, input, inputSize10) { + const symmetryLine = box.landmarks.length >= meshLandmarks.count ? meshLandmarks.symmetryLine : blazeFaceLandmarks.symmetryLine; + let angle = 0; + let rotationMatrix = fixedRotationMatrix; + let face4; + if (rotate && env.kernels.includes("rotatewithoffset")) { + angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + if (largeAngle) { + const center = getBoxCenter(box); + const centerRaw = [center[0] / input.shape[2], center[1] / input.shape[1]]; + const rotated = tf12.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); + rotationMatrix = buildRotationMatrix(-angle, center); + face4 = cutAndResize(box, rotated, [inputSize10, inputSize10]); + tf12.dispose(rotated); + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + return [angle, rotationMatrix, face4]; +} +var findFaceCenter = (mesh) => { + const x = mesh.map((m) => m[0]); + const y = mesh.map((m) => m[1]); + return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2]; +}; +var calculateFaceBox = (mesh, previousBox) => { + const center = findFaceCenter(mesh); + const boxSize = getBoxSize(previousBox); + const calculatedBox = { + startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2], + endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] + }; + return calculatedBox; +}; + +// src/face/blazeface.ts +var keypointsCount = 6; +var faceBoxScaleFactor = 1.4; +var model5; +var anchors = null; +var inputSize4 = 0; +var inputSizeT = null; +var size = () => inputSize4; +async function load3(config3) { + var _a; + if (env.initial) + model5 = null; + if (!model5) + model5 = await loadModel((_a = config3.face.detector) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model5["modelUrl"]); + inputSize4 = model5["executor"] && model5.inputs[0].shape ? model5.inputs[0].shape[2] : 256; + inputSizeT = tf13.scalar(inputSize4, "int32"); + anchors = tf13.tensor2d(generateAnchors(inputSize4)); + return model5; +} +function decodeBoxes2(boxOutputs) { + if (!anchors || !inputSizeT) + return tf13.zeros([0, 0]); + const t2 = {}; + t2.boxStarts = tf13.slice(boxOutputs, [0, 1], [-1, 2]); + t2.centers = tf13.add(t2.boxStarts, anchors); + t2.boxSizes = tf13.slice(boxOutputs, [0, 3], [-1, 2]); + t2.boxSizesNormalized = tf13.div(t2.boxSizes, inputSizeT); + t2.centersNormalized = tf13.div(t2.centers, inputSizeT); + t2.halfBoxSize = tf13.div(t2.boxSizesNormalized, constants.tf2); + t2.starts = tf13.sub(t2.centersNormalized, t2.halfBoxSize); + t2.ends = tf13.add(t2.centersNormalized, t2.halfBoxSize); + t2.startNormalized = tf13.mul(t2.starts, inputSizeT); + t2.endNormalized = tf13.mul(t2.ends, inputSizeT); + const boxes = tf13.concat2d([t2.startNormalized, t2.endNormalized], 1); + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} +async function getBoxes(inputImage, config3) { + var _a, _b, _c, _d, _e, _f; + if (!inputImage || inputImage["isDisposedInternal"] || inputImage.shape.length !== 4 || inputImage.shape[1] < 1 || inputImage.shape[2] < 1) + return []; + const t2 = {}; + t2.resized = tf13.image.resizeBilinear(inputImage, [inputSize4, inputSize4]); + t2.div = tf13.div(t2.resized, constants.tf127); + t2.normalized = tf13.sub(t2.div, constants.tf05); + const res = model5 == null ? void 0 : model5.execute(t2.normalized); + if (Array.isArray(res) && res.length > 2) { + const sorted = res.sort((a, b) => a.size - b.size); + t2.concat384 = tf13.concat([sorted[0], sorted[2]], 2); + t2.concat512 = tf13.concat([sorted[1], sorted[3]], 2); + t2.concat = tf13.concat([t2.concat512, t2.concat384], 1); + t2.batch = tf13.squeeze(t2.concat, [0]); + } else if (Array.isArray(res)) { + t2.batch = tf13.squeeze(res[0]); + } else { + t2.batch = tf13.squeeze(res); + } + tf13.dispose(res); + t2.boxes = decodeBoxes2(t2.batch); + t2.logits = tf13.slice(t2.batch, [0, 0], [-1, 1]); + t2.sigmoid = tf13.sigmoid(t2.logits); + t2.scores = tf13.squeeze(t2.sigmoid); + t2.nms = await tf13.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0); + const nms = await t2.nms.array(); + const boxes = []; + const scores = await t2.scores.data(); + for (let i = 0; i < nms.length; i++) { + const confidence = scores[nms[i]]; + if (confidence > (((_d = config3.face.detector) == null ? void 0 : _d.minConfidence) || 0)) { + const b = {}; + b.bbox = tf13.slice(t2.boxes, [nms[i], 0], [1, -1]); + b.slice = tf13.slice(t2.batch, [nms[i], keypointsCount - 1], [1, -1]); + b.squeeze = tf13.squeeze(b.slice); + b.landmarks = tf13.reshape(b.squeeze, [keypointsCount, -1]); + const points = await b.bbox.data(); + const rawBox = { + startPoint: [points[0], points[1]], + endPoint: [points[2], points[3]], + landmarks: await b.landmarks.array(), + confidence + }; + b.anchor = tf13.slice(anchors, [nms[i], 0], [1, 2]); + const anchor = await b.anchor.data(); + const scaledBox = scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize4, (inputImage.shape[1] || 0) / inputSize4], anchor); + const enlargedBox = enlargeBox(scaledBox, config3.face["scale"] || faceBoxScaleFactor); + const squaredBox = squarifyBox(enlargedBox); + if (squaredBox.size[0] > (((_e = config3.face.detector) == null ? void 0 : _e["minSize"]) || 0) && squaredBox.size[1] > (((_f = config3.face.detector) == null ? void 0 : _f["minSize"]) || 0)) + boxes.push(squaredBox); + Object.keys(b).forEach((tensor6) => tf13.dispose(b[tensor6])); + } + } + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} + +// src/face/iris.ts +var tf14 = __toESM(require_tfjs_esm()); +var model6; +var inputSize5 = 0; +var irisEnlarge = 2.3; +var leftOutline = meshAnnotations.leftEyeLower0; +var rightOutline = meshAnnotations.rightEyeLower0; +var eyeLandmarks = { + leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]], + rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]] +}; +var irisLandmarks = { + upperCenter: 3, + lowerCenter: 4, + index: 71, + numCoordinates: 76 +}; +async function load4(config3) { + var _a, _b; + if (env.initial) + model6 = null; + if (!model6) + model6 = await loadModel((_a = config3.face.iris) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model6["modelUrl"]); + inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b = model6.inputs) == null ? void 0 : _b[0].shape) ? model6.inputs[0].shape[2] : 0; + if (inputSize5 === -1) + inputSize5 = 64; + return model6; +} +function replaceIrisCoords(rawCoords, newCoords, prefix, keys) { + for (let i = 0; i < irisIndices.length; i++) { + const { key, indices } = irisIndices[i]; + const originalIndices = meshAnnotations[`${prefix}${key}`]; + if (!keys || keys.includes(key)) { + for (let j = 0; j < indices.length; j++) { + const index2 = indices[j]; + rawCoords[originalIndices[j]] = [ + newCoords[index2][0], + newCoords[index2][1], + (newCoords[index2][2] + rawCoords[originalIndices[j]][2]) / 2 + ]; + } + } + } +} +var getLeftToRightEyeDepthDifference = (rawCoords) => { + const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2]; + const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2]; + return leftEyeZ - rightEyeZ; +}; +var getEyeBox = (rawCoords, face4, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => { + const box = squarifyBox(enlargeBox(calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge)); + const boxSize = getBoxSize(box); + let crop = tf14.image.cropAndResize(face4, [[ + box.startPoint[1] / meshSize, + box.startPoint[0] / meshSize, + box.endPoint[1] / meshSize, + box.endPoint[0] / meshSize + ]], [0], [inputSize5, inputSize5]); + if (flip && env.kernels.includes("flipleftright")) { + const flipped = tf14.image.flipLeftRight(crop); + tf14.dispose(crop); + crop = flipped; + } + return { box, boxSize, crop }; +}; +var getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => { + const eyeRawCoords = []; + for (let i = 0; i < irisLandmarks.numCoordinates; i++) { + const x = eyeData[i * 3]; + const y = eyeData[i * 3 + 1]; + const z = eyeData[i * 3 + 2]; + eyeRawCoords.push([ + (flip ? 1 - x / inputSize5 : x / inputSize5) * eyeBoxSize[0] + eyeBox.startPoint[0], + y / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], + z + ]); + } + return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) }; +}; +var getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => { + const upperCenterZ = rawCoords[meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2]; + const lowerCenterZ = rawCoords[meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2]; + const averageZ = (upperCenterZ + lowerCenterZ) / 2; + return irisCoords.map((coord, i) => { + let z = averageZ; + if (i === 2) { + z = upperCenterZ; + } else if (i === 4) { + z = lowerCenterZ; + } + return [coord[0], coord[1], z]; + }); +}; +async function augmentIris(rawCoords, face4, meshSize) { + if (!(model6 == null ? void 0 : model6["executor"])) + return rawCoords; + const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true); + const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true); + const combined = tf14.concat([leftEyeCrop, rightEyeCrop]); + tf14.dispose(leftEyeCrop); + tf14.dispose(rightEyeCrop); + const eyePredictions = model6.execute(combined); + tf14.dispose(combined); + const eyePredictionsData = await eyePredictions.data(); + tf14.dispose(eyePredictions); + const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3); + const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true); + const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3); + const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false); + const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords); + if (Math.abs(leftToRightEyeDepthDifference) < 30) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", null); + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", null); + } else if (leftToRightEyeDepthDifference < 1) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", ["EyeUpper0", "EyeLower0"]); + } else { + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", ["EyeUpper0", "EyeLower0"]); + } + const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, "left"); + const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, "right"); + const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords); + return newCoords; +} + +// src/face/attention.ts +async function augment(rawCoords, results) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const t2 = { + // all attention models produce 2d results so it needs to be later augmented with correct z-coords + // mesh: results[0], // already have it in rawCoords // output_mesh_identity + // flag: results[1], // already processed in parent // conv_faceflag + lips: await ((_b = (_a = results.filter((r) => r.size === 160)) == null ? void 0 : _a[0]) == null ? void 0 : _b.data()), + // 80 x 2d = 160 // output_lips + irisL: await ((_d = (_c = results.filter((r) => r.size === 10)) == null ? void 0 : _c[0]) == null ? void 0 : _d.data()), + // 5 x 2d = 10 // output_right_iris + eyeL: await ((_f = (_e = results.filter((r) => r.size === 142)) == null ? void 0 : _e[0]) == null ? void 0 : _f.data()), + // 71 x 2d = 142 // output_right_eye + irisR: await ((_h = (_g = results.filter((r) => r.size === 10)) == null ? void 0 : _g[1]) == null ? void 0 : _h.data()), + // 5 x 2d = 10 // output_left_iris + eyeR: await ((_j = (_i = results.filter((r) => r.size === 142)) == null ? void 0 : _i[1]) == null ? void 0 : _j.data()) + // 71 x 2d = 142// output_left_eye + }; + for (const val of Object.values(t2)) { + if (!val) + return rawCoords; + } + const irisLDepth = LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisL.length / 2; i++) + rawCoords.push([t2.irisL[2 * i + 0], t2.irisL[2 * i + 1], irisLDepth]); + const irisRDepth = LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisR.length / 2; i++) + rawCoords.push([t2.irisR[2 * i + 0], t2.irisR[2 * i + 1], irisRDepth]); + for (let i = 0; i < t2.eyeL.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t2.eyeL[2 * i + 0], t2.eyeL[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.eyeR.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t2.eyeR[2 * i + 0], t2.eyeR[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.lips.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t2.lips[2 * i + 0], t2.lips[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]]; + return rawCoords; +} + +// src/face/facemesh.ts +var cache3 = { + boxes: [], + skipped: Number.MAX_SAFE_INTEGER, + timestamp: 0 +}; +var model7 = null; +var inputSize6 = 0; +async function predict4(input, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - cache3.timestamp; + const skipFrame = cache3.skipped < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0); + if (!config3.skipAllowed || !skipTime || !skipFrame || cache3.boxes.length === 0) { + cache3.boxes = await getBoxes(input, config3); + cache3.timestamp = now(); + cache3.skipped = 0; + } else { + cache3.skipped++; + } + const faces = []; + const newCache = []; + let id = 0; + const size2 = inputSize6; + for (let i = 0; i < cache3.boxes.length; i++) { + const box = cache3.boxes[i]; + let angle = 0; + let rotationMatrix; + const face4 = { + // init face result + id: id++, + mesh: [], + meshRaw: [], + box: [0, 0, 0, 0], + boxRaw: [0, 0, 0, 0], + score: 0, + boxScore: 0, + faceScore: 0, + size: [0, 0], + // contoursRaw: [], + // contours: [], + annotations: {} + }; + [angle, rotationMatrix, face4.tensor] = correctFaceRotation((_c = config3.face.detector) == null ? void 0 : _c.rotation, box, input, ((_d = config3.face.mesh) == null ? void 0 : _d.enabled) ? inputSize6 : size()); + if (config3.filter.equalization) { + const equilized = face4.tensor ? await histogramEqualization(face4.tensor) : void 0; + tf15.dispose(face4.tensor); + if (equilized) + face4.tensor = equilized; + } + face4.boxScore = Math.round(100 * box.confidence) / 100; + if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled) || !(model7 == null ? void 0 : model7["executor"])) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.size = box.size; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } else if (!model7) { + if (config3.debug) + log("face mesh detection requested, but model is not loaded"); + } else { + if (((_f = config3.face.attention) == null ? void 0 : _f.enabled) && !env.kernels.includes("atan2")) { + config3.face.attention.enabled = false; + tf15.dispose(face4.tensor); + return faces; + } + const results = model7.execute(face4.tensor); + const confidenceT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1); + const faceConfidence = await confidenceT.data(); + face4.faceScore = Math.round(100 * faceConfidence[0]) / 100; + if (face4.faceScore < (((_g = config3.face.detector) == null ? void 0 : _g.minConfidence) || 1)) { + box.confidence = face4.faceScore; + if (config3.face.mesh["keepInvalid"]) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) { + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } + } + } else { + const meshT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1404); + const coordsReshaped = tf15.reshape(meshT, [-1, 3]); + let rawCoords = await coordsReshaped.array(); + tf15.dispose(coordsReshaped); + if ((_h = config3.face.attention) == null ? void 0 : _h.enabled) { + rawCoords = await augment(rawCoords, results); + } else if ((_i = config3.face.iris) == null ? void 0 : _i.enabled) { + rawCoords = await augmentIris(rawCoords, face4.tensor, inputSize6); + } + face4.mesh = transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize6); + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(meshAnnotations)) + face4.annotations[key] = meshAnnotations[key].map((index2) => face4.mesh[index2]); + face4.score = face4.faceScore; + const calculatedBox = { + ...calculateFaceBox(face4.mesh, box), + confidence: box.confidence, + landmarks: box.landmarks, + size: box.size + }; + face4.box = clampBox(calculatedBox, input); + face4.boxRaw = getRawBox(calculatedBox, input); + newCache.push(calculatedBox); + } + tf15.dispose(results); + } + if (face4.score > (((_j = config3.face.detector) == null ? void 0 : _j.minConfidence) || 1)) + faces.push(face4); + else + tf15.dispose(face4.tensor); + } + cache3.boxes = newCache; + return faces; +} +async function load5(config3) { + var _a, _b, _c, _d, _e, _f; + if (env.initial) + model7 = null; + if (((_a = config3.face.attention) == null ? void 0 : _a.enabled) && (model7 == null ? void 0 : model7["signature"])) { + if (Object.keys(((_b = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b.outputs) || {}).length < 6) + model7 = null; + } + if (!model7) { + if ((_c = config3.face.attention) == null ? void 0 : _c.enabled) + model7 = await loadModel(config3.face.attention.modelPath); + else + model7 = await loadModel((_d = config3.face.mesh) == null ? void 0 : _d.modelPath); + } else if (config3.debug) { + log("cached model:", model7["modelUrl"]); + } + inputSize6 = model7["executor"] && ((_e = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _e[0].shape) ? (_f = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _f[0].shape[2] : 256; + return model7; +} +var triangulation = TRI468; +var uvmap = UV468; + +// src/gear/emotion.ts +var tf16 = __toESM(require_tfjs_esm()); +var annotations = []; +var model8; +var last3 = []; +var lastCount = 0; +var lastTime4 = 0; +var skipped4 = Number.MAX_SAFE_INTEGER; +var rgb = false; +async function load6(config3) { + var _a, _b, _c; + if (env.initial) + model8 = null; + if (!model8) { + model8 = await loadModel((_a = config3.face.emotion) == null ? void 0 : _a.modelPath); + rgb = ((_c = (_b = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[3]) === 3; + if (!rgb) + annotations = ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"]; + else + annotations = ["angry", "disgust", "fear", "happy", "neutral", "sad", "surprise"]; + } else if (config3.debug) { + log("cached model:", model8["modelUrl"]); + } + return model8; +} +async function predict5(image28, config3, idx, count2) { + var _a, _b; + if (!model8) + return []; + const skipFrame = skipped4 < (((_a = config3.face.emotion) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.emotion) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime4; + if (config3.skipAllowed && skipTime && skipFrame && lastCount === count2 && last3[idx] && last3[idx].length > 0) { + skipped4++; + return last3[idx]; + } + skipped4 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c; + const obj = []; + if ((_a2 = config3.face.emotion) == null ? void 0 : _a2.enabled) { + const t2 = {}; + const inputSize10 = (model8 == null ? void 0 : model8.inputs[0].shape) ? model8.inputs[0].shape[2] : 0; + if (((_b2 = config3.face.emotion) == null ? void 0 : _b2["crop"]) > 0) { + const crop = (_c = config3.face.emotion) == null ? void 0 : _c["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf16.image.cropAndResize(image28, box, [0], [inputSize10, inputSize10]); + } else { + t2.resize = tf16.image.resizeBilinear(image28, [inputSize10, inputSize10], false); + } + if (rgb) { + t2.mul = tf16.mul(t2.resize, 255); + t2.normalize = tf16.sub(t2.mul, [103.939, 116.779, 123.68]); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.normalize); + } else { + t2.channels = tf16.mul(t2.resize, constants.rgb); + t2.grayscale = tf16.sum(t2.channels, 3, true); + t2.grayscaleSub = tf16.sub(t2.grayscale, constants.tf05); + t2.grayscaleMul = tf16.mul(t2.grayscaleSub, constants.tf2); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.grayscaleMul); + } + lastTime4 = now(); + const data = await t2.emotion.data(); + for (let i = 0; i < data.length; i++) { + if (data[i] > (config3.face.emotion.minConfidence || 0)) + obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] }); + } + obj.sort((a, b) => b.score - a.score); + Object.keys(t2).forEach((tensor6) => tf16.dispose(t2[tensor6])); + } + last3[idx] = obj; + lastCount = count2; + resolve(obj); + }); +} + +// src/face/faceres.ts +var tf17 = __toESM(require_tfjs_esm()); +var model9; +var last4 = []; +var lastTime5 = 0; +var lastCount2 = 0; +var skipped5 = Number.MAX_SAFE_INTEGER; +async function load7(config3) { + var _a; + if (env.initial) + model9 = null; + if (!model9) + model9 = await loadModel((_a = config3.face.description) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model9["modelUrl"]); + return model9; +} +function enhance(input, config3) { + var _a, _b; + const tensor6 = input.image || input.tensor || input; + if (!(model9 == null ? void 0 : model9.inputs[0].shape)) + return tensor6; + let crop; + if (((_a = config3.face.description) == null ? void 0 : _a["crop"]) > 0) { + const cropval = (_b = config3.face.description) == null ? void 0 : _b["crop"]; + const box = [[cropval, cropval, 1 - cropval, 1 - cropval]]; + crop = tf17.image.cropAndResize(tensor6, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); + } else { + crop = tf17.image.resizeBilinear(tensor6, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); + } + const norm = tf17.mul(crop, constants.tf255); + tf17.dispose(crop); + return norm; +} +async function predict6(image28, config3, idx, count2) { + var _a, _b, _c, _d; + const obj = { + age: 0, + gender: "unknown", + genderScore: 0, + descriptor: [] + }; + if (!(model9 == null ? void 0 : model9["executor"])) + return obj; + const skipFrame = skipped5 < (((_a = config3.face.description) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.description) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime5; + if (config3.skipAllowed && skipFrame && skipTime && lastCount2 === count2 && ((_c = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _c.age) > 0 && ((_d = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped5++; + return last4[idx]; + } + skipped5 = 0; + return new Promise(async (resolve) => { + var _a2; + if ((_a2 = config3.face.description) == null ? void 0 : _a2.enabled) { + const enhanced = enhance(image28, config3); + const resT = model9 == null ? void 0 : model9.execute(enhanced); + lastTime5 = now(); + tf17.dispose(enhanced); + const genderT = resT.find((t2) => t2.shape[1] === 1); + const gender2 = await genderT.data(); + const confidence = Math.trunc(200 * Math.abs(gender2[0] - 0.5)) / 100; + if (confidence > (config3.face.description.minConfidence || 0)) { + obj.gender = gender2[0] <= 0.5 ? "female" : "male"; + obj.genderScore = Math.min(0.99, confidence); + } + const argmax = tf17.argMax(resT.find((t2) => t2.shape[1] === 100), 1); + const ageIdx = (await argmax.data())[0]; + tf17.dispose(argmax); + const ageT = resT.find((t2) => t2.shape[1] === 100); + const all2 = await ageT.data(); + obj.age = Math.round(all2[ageIdx - 1] > all2[ageIdx + 1] ? 10 * ageIdx - 100 * all2[ageIdx - 1] : 10 * ageIdx + 100 * all2[ageIdx + 1]) / 10; + if (Number.isNaN(gender2[0]) || Number.isNaN(all2[0])) + log("faceres error:", { model: model9, result: resT }); + const desc = resT.find((t2) => t2.shape[1] === 1024); + const descriptor = desc ? await desc.data() : []; + obj.descriptor = Array.from(descriptor); + resT.forEach((t2) => tf17.dispose(t2)); + } + last4[idx] = obj; + lastCount2 = count2; + resolve(obj); + }); +} + +// src/face/mask.ts +var expandFact = 0.1; +var alpha = 0.5; +function insidePoly(x, y, polygon) { + let inside = false; + let j = polygon.length - 1; + for (let i = 0; i < polygon.length; j = i++) { + if (polygon[i].y > y !== polygon[j].y > y && x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x) + inside = !inside; + } + return inside; +} +async function mask(face4) { + if (!face4.tensor) + return face4.tensor; + if (!face4.mesh || face4.mesh.length < 100) + return face4.tensor; + const width = face4.tensor.shape[2] || 0; + const height = face4.tensor.shape[1] || 0; + const buffer = await face4.tensor.buffer(); + let silhouette = []; + for (const pt of meshAnnotations.silhouette) + silhouette.push({ x: (face4.mesh[pt][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt][1] - face4.box[1]) / face4.box[3] }); + if (expandFact && expandFact > 0) + silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); + for (let x = 0; x < width; x++) { + for (let y = 0; y < height; y++) { + const inside = insidePoly(x / width, y / width, silhouette); + if (!inside) { + buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0); + buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1); + buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2); + } + } + } + const output = buffer.toTensor(); + return output; +} + +// src/face/antispoof.ts +var tf18 = __toESM(require_tfjs_esm()); +var model10; +var cached = []; +var skipped6 = Number.MAX_SAFE_INTEGER; +var lastCount3 = 0; +var lastTime6 = 0; +async function load8(config3) { + var _a; + if (env.initial) + model10 = null; + if (!model10) + model10 = await loadModel((_a = config3.face.antispoof) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model10["modelUrl"]); + return model10; +} +async function predict7(image28, config3, idx, count2) { + var _a, _b; + if (!(model10 == null ? void 0 : model10["executor"])) + return 0; + const skipTime = (((_a = config3.face.antispoof) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6; + const skipFrame = skipped6 < (((_b = config3.face.antispoof) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount3 === count2 && cached[idx]) { + skipped6++; + return cached[idx]; + } + skipped6 = 0; + return new Promise(async (resolve) => { + const resize = tf18.image.resizeBilinear(image28, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); + const res = model10 == null ? void 0 : model10.execute(resize); + const num = (await res.data())[0]; + cached[idx] = Math.round(100 * num) / 100; + lastCount3 = count2; + lastTime6 = now(); + tf18.dispose([resize, res]); + resolve(cached[idx]); + }); +} + +// src/face/liveness.ts +var tf19 = __toESM(require_tfjs_esm()); +var model11; +var cached2 = []; +var skipped7 = Number.MAX_SAFE_INTEGER; +var lastCount4 = 0; +var lastTime7 = 0; +async function load9(config3) { + var _a; + if (env.initial) + model11 = null; + if (!model11) + model11 = await loadModel((_a = config3.face.liveness) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model11["modelUrl"]); + return model11; +} +async function predict8(image28, config3, idx, count2) { + var _a, _b; + if (!(model11 == null ? void 0 : model11["executor"])) + return 0; + const skipTime = (((_a = config3.face.liveness) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime7; + const skipFrame = skipped7 < (((_b = config3.face.liveness) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount4 === count2 && cached2[idx]) { + skipped7++; + return cached2[idx]; + } + skipped7 = 0; + return new Promise(async (resolve) => { + const resize = tf19.image.resizeBilinear(image28, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); + const res = model11 == null ? void 0 : model11.execute(resize); + const num = (await res.data())[0]; + cached2[idx] = Math.round(100 * num) / 100; + lastCount4 = count2; + lastTime7 = now(); + tf19.dispose([resize, res]); + resolve(cached2[idx]); + }); +} + +// src/gear/gear.ts +var tf20 = __toESM(require_tfjs_esm()); +var model12; +var last5 = []; +var raceNames = ["white", "black", "asian", "indian", "other"]; +var ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65]; +var lastCount5 = 0; +var lastTime8 = 0; +var skipped8 = Number.MAX_SAFE_INTEGER; +async function load10(config3) { + var _a; + if (env.initial) + model12 = null; + if (!model12) + model12 = await loadModel((_a = config3.face.gear) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model12["modelUrl"]); + return model12; +} +async function predict9(image28, config3, idx, count2) { + var _a, _b; + if (!model12) + return { age: 0, gender: "unknown", genderScore: 0, race: [] }; + const skipFrame = skipped8 < (((_a = config3.face.gear) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.gear) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime8; + if (config3.skipAllowed && skipTime && skipFrame && lastCount5 === count2 && last5[idx]) { + skipped8++; + return last5[idx]; + } + skipped8 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c, _d; + if (!(model12 == null ? void 0 : model12.inputs[0].shape)) + return; + const t2 = {}; + let box = [[0, 0.1, 0.9, 0.9]]; + if (((_a2 = config3.face.gear) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face.gear) == null ? void 0 : _b2["crop"]; + box = [[crop, crop, 1 - crop, 1 - crop]]; + } + t2.resize = tf20.image.cropAndResize(image28, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); + const obj = { age: 0, gender: "unknown", genderScore: 0, race: [] }; + if ((_c = config3.face.gear) == null ? void 0 : _c.enabled) + [t2.age, t2.gender, t2.race] = model12.execute(t2.resize, ["age_output", "gender_output", "race_output"]); + const gender2 = await t2.gender.data(); + obj.gender = gender2[0] > gender2[1] ? "male" : "female"; + obj.genderScore = Math.round(100 * (gender2[0] > gender2[1] ? gender2[0] : gender2[1])) / 100; + const race = await t2.race.data(); + for (let i = 0; i < race.length; i++) { + if (race[i] > (((_d = config3.face.gear) == null ? void 0 : _d.minConfidence) || 0.2)) + obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] }); + } + obj.race.sort((a, b) => b.score - a.score); + const ageDistribution = Array.from(await t2.age.data()); + const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]); + let age2 = ageSorted[0][0]; + for (let i = 1; i < ageSorted.length; i++) + age2 += ageSorted[i][1] * (ageSorted[i][0] - age2); + obj.age = Math.round(10 * age2) / 10; + Object.keys(t2).forEach((tensor6) => tf20.dispose(t2[tensor6])); + last5[idx] = obj; + lastCount5 = count2; + lastTime8 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-age.ts +var tf21 = __toESM(require_tfjs_esm()); +var model13; +var last6 = []; +var lastCount6 = 0; +var lastTime9 = 0; +var skipped9 = Number.MAX_SAFE_INTEGER; +async function load11(config3) { + if (env.initial) + model13 = null; + if (!model13) + model13 = await loadModel(config3.face["ssrnet"].modelPathAge); + else if (config3.debug) + log("cached model:", model13["modelUrl"]); + return model13; +} +async function predict10(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model13) + return { age: 0 }; + const skipFrame = skipped9 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime9; + if (config3.skipAllowed && skipFrame && skipTime && lastCount6 === count2 && ((_c = last6[idx]) == null ? void 0 : _c.age) && ((_d = last6[idx]) == null ? void 0 : _d.age) > 0) { + skipped9++; + return last6[idx]; + } + skipped9 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model13 == null ? void 0 : model13.inputs) || !model13.inputs[0] || !model13.inputs[0].shape) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf21.image.cropAndResize(image28, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); + } else { + t2.resize = tf21.image.resizeBilinear(image28, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); + } + t2.enhance = tf21.mul(t2.resize, constants.tf255); + const obj = { age: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.age = model13.execute(t2.enhance); + if (t2.age) { + const data = await t2.age.data(); + obj.age = Math.trunc(10 * data[0]) / 10; + } + Object.keys(t2).forEach((tensor6) => tf21.dispose(t2[tensor6])); + last6[idx] = obj; + lastCount6 = count2; + lastTime9 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-gender.ts +var tf22 = __toESM(require_tfjs_esm()); +var model14; +var last7 = []; +var lastCount7 = 0; +var lastTime10 = 0; +var skipped10 = Number.MAX_SAFE_INTEGER; +var rgb2 = [0.2989, 0.587, 0.114]; +async function load12(config3) { + var _a; + if (env.initial) + model14 = null; + if (!model14) + model14 = await loadModel((_a = config3.face["ssrnet"]) == null ? void 0 : _a.modelPathGender); + else if (config3.debug) + log("cached model:", model14["modelUrl"]); + return model14; +} +async function predict11(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model14) + return { gender: "unknown", genderScore: 0 }; + const skipFrame = skipped10 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime10; + if (config3.skipAllowed && skipFrame && skipTime && lastCount7 === count2 && ((_c = last7[idx]) == null ? void 0 : _c.gender) && ((_d = last7[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped10++; + return last7[idx]; + } + skipped10 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model14 == null ? void 0 : model14.inputs[0].shape)) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf22.image.cropAndResize(image28, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); + } else { + t2.resize = tf22.image.resizeBilinear(image28, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); + } + t2.enhance = tf22.tidy(() => { + var _a3, _b3; + let normalize2; + if (((_b3 = (_a3 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a3[0].shape) == null ? void 0 : _b3[3]) === 1) { + const [red, green, blue] = tf22.split(t2.resize, 3, 3); + const redNorm = tf22.mul(red, rgb2[0]); + const greenNorm = tf22.mul(green, rgb2[1]); + const blueNorm = tf22.mul(blue, rgb2[2]); + const grayscale = tf22.addN([redNorm, greenNorm, blueNorm]); + normalize2 = tf22.mul(tf22.sub(grayscale, constants.tf05), 2); + } else { + normalize2 = tf22.mul(tf22.sub(t2.resize, constants.tf05), 2); + } + return normalize2; + }); + const obj = { gender: "unknown", genderScore: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.gender = model14.execute(t2.enhance); + const data = await t2.gender.data(); + obj.gender = data[0] > data[1] ? "female" : "male"; + obj.genderScore = data[0] > data[1] ? Math.trunc(100 * data[0]) / 100 : Math.trunc(100 * data[1]) / 100; + Object.keys(t2).forEach((tensor6) => tf22.dispose(t2[tensor6])); + last7[idx] = obj; + lastCount7 = count2; + lastTime10 = now(); + resolve(obj); + }); +} + +// src/face/mobilefacenet.ts +var tf23 = __toESM(require_tfjs_esm()); +var model15; +var last8 = []; +var lastCount8 = 0; +var lastTime11 = 0; +var skipped11 = Number.MAX_SAFE_INTEGER; +async function load13(config3) { + var _a; + if (env.initial) + model15 = null; + if (!model15) + model15 = await loadModel((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model15["modelUrl"]); + return model15; +} +async function predict12(input, config3, idx, count2) { + var _a, _b; + if (!(model15 == null ? void 0 : model15["executor"])) + return []; + const skipFrame = skipped11 < (((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["mobilefacenet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime11; + if (config3.skipAllowed && skipTime && skipFrame && lastCount8 === count2 && last8[idx]) { + skipped11++; + return last8[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["mobilefacenet"]) == null ? void 0 : _a2.enabled) && (model15 == null ? void 0 : model15.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf23.image.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); + t2.data = model15.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf23.dispose(t2[tensor6])); + } + last8[idx] = data; + lastCount8 = count2; + lastTime11 = now(); + resolve(data); + }); +} + +// src/face/insightface.ts +var tf24 = __toESM(require_tfjs_esm()); +var model16; +var last9 = []; +var lastCount9 = 0; +var lastTime12 = 0; +var skipped12 = Number.MAX_SAFE_INTEGER; +async function load14(config3) { + if (env.initial) + model16 = null; + if (!model16) + model16 = await loadModel(config3.face["insightface"].modelPath); + else if (config3.debug) + log("cached model:", model16["modelUrl"]); + return model16; +} +async function predict13(input, config3, idx, count2) { + var _a, _b; + if (!(model16 == null ? void 0 : model16["executor"])) + return []; + const skipFrame = skipped12 < (((_a = config3.face["insightface"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["insightface"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime12; + if (config3.skipAllowed && skipTime && skipFrame && lastCount9 === count2 && last9[idx]) { + skipped12++; + return last9[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["insightface"]) == null ? void 0 : _a2.enabled) && (model16 == null ? void 0 : model16.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf24.image.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); + t2.data = model16.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf24.dispose(t2[tensor6])); + } + last9[idx] = data; + lastCount9 = count2; + lastTime12 = now(); + resolve(data); + }); +} + +// src/face/angles.ts +var calculateGaze = (face4) => { + const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); + if (!face4.annotations.rightEyeIris || !face4.annotations.leftEyeIris) + return { bearing: 0, strength: 0 }; + const offsetIris = [0, -0.1]; + const eyeRatio = 1; + const left = (face4.mesh[33][2] || 0) > (face4.mesh[263][2] || 0); + const irisCenter = left ? face4.mesh[473] : face4.mesh[468]; + const eyeCenter = left ? [(face4.mesh[133][0] + face4.mesh[33][0]) / 2, (face4.mesh[133][1] + face4.mesh[33][1]) / 2] : [(face4.mesh[263][0] + face4.mesh[362][0]) / 2, (face4.mesh[263][1] + face4.mesh[362][1]) / 2]; + const eyeSize = left ? [face4.mesh[133][0] - face4.mesh[33][0], face4.mesh[23][1] - face4.mesh[27][1]] : [face4.mesh[263][0] - face4.mesh[362][0], face4.mesh[253][1] - face4.mesh[257][1]]; + const eyeDiff = [ + // x distance between extreme point and center point normalized with eye size + (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0], + eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1] + ]; + let strength = Math.sqrt(eyeDiff[0] * eyeDiff[0] + eyeDiff[1] * eyeDiff[1]); + strength = Math.min(strength, face4.boxRaw[2] / 2, face4.boxRaw[3] / 2); + const bearing = (radians([0, 0], eyeDiff) + Math.PI / 2) % Math.PI; + return { bearing, strength }; +}; +var calculateFaceAngle = (face4, imageSize) => { + const normalize2 = (v) => { + const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]); + v[0] /= length; + v[1] /= length; + v[2] /= length; + return v; + }; + const subVectors = (a, b) => { + const x = a[0] - b[0]; + const y = a[1] - b[1]; + const z = a[2] - b[2]; + return [x, y, z]; + }; + const crossVectors = (a, b) => { + const x = a[1] * b[2] - a[2] * b[1]; + const y = a[2] * b[0] - a[0] * b[2]; + const z = a[0] * b[1] - a[1] * b[0]; + return [x, y, z]; + }; + const rotationMatrixToEulerAngle = (r) => { + const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; + let thetaX; + let thetaY; + let thetaZ; + if (r10 < 1) { + if (r10 > -1) { + thetaZ = Math.asin(r10); + thetaY = Math.atan2(-r20, r00); + thetaX = Math.atan2(-r12, r11); + } else { + thetaZ = -Math.PI / 2; + thetaY = -Math.atan2(r21, r22); + thetaX = 0; + } + } else { + thetaZ = Math.PI / 2; + thetaY = Math.atan2(r21, r22); + thetaX = 0; + } + if (Number.isNaN(thetaX)) + thetaX = 0; + if (Number.isNaN(thetaY)) + thetaY = 0; + if (Number.isNaN(thetaZ)) + thetaZ = 0; + return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ }; + }; + const mesh = face4.meshRaw; + if (!mesh || mesh.length < 300) + return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } }; + const size2 = Math.max(face4.boxRaw[2] * imageSize[0], face4.boxRaw[3] * imageSize[1]) / 1.5; + const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size2, pt[1] * imageSize[1] / size2, pt[2]]); + const yAxis = normalize2(subVectors(pts[1], pts[0])); + let xAxis = normalize2(subVectors(pts[3], pts[2])); + const zAxis = normalize2(crossVectors(xAxis, yAxis)); + xAxis = crossVectors(yAxis, zAxis); + const matrix = [ + xAxis[0], + xAxis[1], + xAxis[2], + yAxis[0], + yAxis[1], + yAxis[2], + zAxis[0], + zAxis[1], + zAxis[2] + ]; + const angle = rotationMatrixToEulerAngle(matrix); + const gaze = mesh.length === 478 ? calculateGaze(face4) : { bearing: 0, strength: 0 }; + return { angle, matrix, gaze }; +}; + +// src/face/anthropometry.ts +function calculateCameraDistance(face4, width) { + const f = face4 == null ? void 0 : face4.annotations; + if (!(f == null ? void 0 : f.leftEyeIris) || !(f == null ? void 0 : f.rightEyeIris)) + return 0; + const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width; + const cameraDistance = Math.round(1.17 / irisSize) / 100; + return cameraDistance; +} + +// src/face/face.ts +var detectFace = async (instance, input) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w; + let timeStamp = now(); + let ageRes; + let gearRes; + let genderRes; + let emotionRes; + let mobilefacenetRes; + let insightfaceRes; + let antispoofRes; + let livenessRes; + let descRes; + const faceRes = []; + instance.state = "run:face"; + const faces = await predict4(input, instance.config); + instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + if (!input.shape || input.shape.length !== 4) + return []; + if (!faces) + return []; + for (let i = 0; i < faces.length; i++) { + instance.analyze("Get Face"); + if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) { + log("Face object is disposed:", faces[i].tensor); + continue; + } + if ((_a = instance.config.face.detector) == null ? void 0 : _a.mask) { + const masked = await mask(faces[i]); + tf25.dispose(faces[i].tensor); + if (masked) + faces[i].tensor = masked; + } + const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null; + instance.analyze("Start Emotion:"); + if (instance.config.async) { + emotionRes = ((_b = instance.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + } else { + instance.state = "run:emotion"; + timeStamp = now(); + emotionRes = ((_c = instance.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Emotion:"); + instance.analyze("Start AntiSpoof:"); + if (instance.config.async) { + antispoofRes = ((_d = instance.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:antispoof"; + timeStamp = now(); + antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End AntiSpoof:"); + instance.analyze("Start Liveness:"); + if (instance.config.async) { + livenessRes = ((_f = instance.config.face.liveness) == null ? void 0 : _f.enabled) ? predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:liveness"; + timeStamp = now(); + livenessRes = ((_g = instance.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Liveness:"); + instance.analyze("Start GEAR:"); + if (instance.config.async) { + gearRes = ((_h = instance.config.face.gear) == null ? void 0 : _h.enabled) ? predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:gear"; + timeStamp = now(); + gearRes = ((_i = instance.config.face.gear) == null ? void 0 : _i.enabled) ? await predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.gear = Math.trunc(now() - timeStamp); + } + instance.analyze("End GEAR:"); + instance.analyze("Start SSRNet:"); + if (instance.config.async) { + ageRes = ((_j = instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) ? predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_k = instance.config.face["ssrnet"]) == null ? void 0 : _k.enabled) ? predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:ssrnet"; + timeStamp = now(); + ageRes = ((_l = instance.config.face["ssrnet"]) == null ? void 0 : _l.enabled) ? await predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_m = instance.config.face["ssrnet"]) == null ? void 0 : _m.enabled) ? await predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.ssrnet = Math.trunc(now() - timeStamp); + } + instance.analyze("End SSRNet:"); + instance.analyze("Start MobileFaceNet:"); + if (instance.config.async) { + mobilefacenetRes = ((_n = instance.config.face["mobilefacenet"]) == null ? void 0 : _n.enabled) ? predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + mobilefacenetRes = ((_o = instance.config.face["mobilefacenet"]) == null ? void 0 : _o.enabled) ? await predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End MobileFaceNet:"); + instance.analyze("Start InsightFace:"); + if (instance.config.async) { + insightfaceRes = ((_p = instance.config.face["insightface"]) == null ? void 0 : _p.enabled) ? predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + insightfaceRes = ((_q = instance.config.face["insightface"]) == null ? void 0 : _q.enabled) ? await predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End InsightFace:"); + instance.analyze("Start Description:"); + if (instance.config.async) { + descRes = predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + } else { + instance.state = "run:description"; + timeStamp = now(); + descRes = await predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Description:"); + if (instance.config.async) { + [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]); + } + instance.analyze("Finish Face:"); + if (((_r = instance.config.face["ssrnet"]) == null ? void 0 : _r.enabled) && ageRes && genderRes) { + descRes = { + ...descRes, + age: ageRes.age, + gender: genderRes.gender, + genderScore: genderRes.genderScore + }; + } + if (((_s = instance.config.face.gear) == null ? void 0 : _s.enabled) && gearRes) { + descRes = { + ...descRes, + age: gearRes.age, + gender: gearRes.gender, + genderScore: gearRes.genderScore, + race: gearRes.race + }; + } + if (((_t = instance.config.face["mobilefacenet"]) == null ? void 0 : _t.enabled) && mobilefacenetRes) { + descRes.descriptor = mobilefacenetRes; + } + if (((_u = instance.config.face["insightface"]) == null ? void 0 : _u.enabled) && insightfaceRes) { + descRes.descriptor = insightfaceRes; + } + const irisSize = ((_v = instance.config.face.iris) == null ? void 0 : _v.enabled) ? calculateCameraDistance(faces[i], input.shape[2]) : 0; + const tensor6 = ((_w = instance.config.face.detector) == null ? void 0 : _w.return) ? tf25.squeeze(faces[i].tensor) : null; + tf25.dispose(faces[i].tensor); + if (faces[i].tensor) + delete faces[i].tensor; + const res = { + ...faces[i], + id: i + }; + if (descRes.age) + res.age = descRes.age; + if (descRes.gender) + res.gender = descRes.gender; + if (descRes.genderScore) + res.genderScore = descRes.genderScore; + if (descRes.descriptor) + res.embedding = descRes.descriptor; + if (descRes.race) + res.race = descRes.race; + if (emotionRes) + res.emotion = emotionRes; + if (antispoofRes) + res.real = antispoofRes; + if (livenessRes) + res.live = livenessRes; + if (irisSize > 0) + res.distance = irisSize; + if (rotation) + res.rotation = rotation; + if (tensor6) + res.tensor = tensor6; + faceRes.push(res); + instance.analyze("End Face"); + } + instance.analyze("End FaceMesh:"); + if (instance.config.async) { + if (instance.performance.face) + delete instance.performance.face; + if (instance.performance.age) + delete instance.performance.age; + if (instance.performance.gender) + delete instance.performance.gender; + if (instance.performance.emotion) + delete instance.performance.emotion; + } + return faceRes; +}; + +// src/hand/fingerdef.ts +var Finger = { + thumb: 0, + index: 1, + middle: 2, + ring: 3, + pinky: 4, + all: [0, 1, 2, 3, 4], + // just for convenience + nameMapping: { 0: "thumb", 1: "index", 2: "middle", 3: "ring", 4: "pinky" }, + // Describes mapping of joints based on the 21 points returned by handpose. + // [0] Palm + // [1-4] Thumb + // [5-8] Index + // [9-12] Middle + // [13-16] Ring + // [17-20] Pinky + pointsMapping: { + 0: [[0, 1], [1, 2], [2, 3], [3, 4]], + 1: [[0, 5], [5, 6], [6, 7], [7, 8]], + 2: [[0, 9], [9, 10], [10, 11], [11, 12]], + 3: [[0, 13], [13, 14], [14, 15], [15, 16]], + 4: [[0, 17], [17, 18], [18, 19], [19, 20]] + }, + getName: (value) => Finger.nameMapping[value], + getPoints: (value) => Finger.pointsMapping[value] +}; +var FingerCurl = { + none: 0, + half: 1, + full: 2, + nameMapping: { 0: "none", 1: "half", 2: "full" }, + getName: (value) => FingerCurl.nameMapping[value] +}; +var FingerDirection = { + verticalUp: 0, + verticalDown: 1, + horizontalLeft: 2, + horizontalRight: 3, + diagonalUpRight: 4, + diagonalUpLeft: 5, + diagonalDownRight: 6, + diagonalDownLeft: 7, + nameMapping: { 0: "verticalUp", 1: "verticalDown", 2: "horizontalLeft", 3: "horizontalRight", 4: "diagonalUpRight", 5: "diagonalUpLeft", 6: "diagonalDownRight", 7: "diagonalDownLeft" }, + getName: (value) => FingerDirection.nameMapping[value] +}; +var FingerGesture = class { + constructor(name) { + __publicField(this, "name"); + __publicField(this, "curls"); + __publicField(this, "directions"); + __publicField(this, "weights"); + __publicField(this, "weightsRelative"); + this.name = name; + this.curls = {}; + this.directions = {}; + this.weights = [1, 1, 1, 1, 1]; + this.weightsRelative = [1, 1, 1, 1, 1]; + } + curl(finger, curl, confidence) { + if (typeof this.curls[finger] === "undefined") + this.curls[finger] = []; + this.curls[finger].push([curl, confidence]); + } + direction(finger, position, confidence) { + if (!this.directions[finger]) + this.directions[finger] = []; + this.directions[finger].push([position, confidence]); + } + weight(finger, weight) { + this.weights[finger] = weight; + const total = this.weights.reduce((a, b) => a + b, 0); + this.weightsRelative = this.weights.map((el) => el * 5 / total); + } + matchAgainst(detectedCurls, detectedDirections) { + let confidence = 0; + for (const fingerIdx in detectedCurls) { + const detectedCurl = detectedCurls[fingerIdx]; + const expectedCurls = this.curls[fingerIdx]; + if (typeof expectedCurls === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedCurl, score] of expectedCurls) { + if (detectedCurl === expectedCurl) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + for (const fingerIdx in detectedDirections) { + const detectedDirection = detectedDirections[fingerIdx]; + const expectedDirections = this.directions[fingerIdx]; + if (typeof expectedDirections === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedDirection, score] of expectedDirections) { + if (detectedDirection === expectedDirection) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + return confidence / 10; + } +}; + +// src/hand/fingergesture.ts +var { thumb, index, middle, ring, pinky } = Finger; +var { none, half, full } = FingerCurl; +var { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection; +var ThumbsUp = new FingerGesture("thumbs up"); +ThumbsUp.curl(thumb, none, 1); +ThumbsUp.direction(thumb, verticalUp, 1); +ThumbsUp.direction(thumb, diagonalUpLeft, 0.25); +ThumbsUp.direction(thumb, diagonalUpRight, 0.25); +for (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) { + ThumbsUp.curl(finger, full, 1); + ThumbsUp.direction(finger, horizontalLeft, 1); + ThumbsUp.direction(finger, horizontalRight, 1); +} +var Victory = new FingerGesture("victory"); +Victory.curl(thumb, half, 0.5); +Victory.curl(thumb, none, 0.5); +Victory.direction(thumb, verticalUp, 1); +Victory.direction(thumb, diagonalUpLeft, 1); +Victory.curl(index, none, 1); +Victory.direction(index, verticalUp, 0.75); +Victory.direction(index, diagonalUpLeft, 1); +Victory.curl(middle, none, 1); +Victory.direction(middle, verticalUp, 1); +Victory.direction(middle, diagonalUpLeft, 0.75); +Victory.curl(ring, full, 1); +Victory.direction(ring, verticalUp, 0.2); +Victory.direction(ring, diagonalUpLeft, 1); +Victory.direction(ring, horizontalLeft, 0.2); +Victory.curl(pinky, full, 1); +Victory.direction(pinky, verticalUp, 0.2); +Victory.direction(pinky, diagonalUpLeft, 1); +Victory.direction(pinky, horizontalLeft, 0.2); +Victory.weight(index, 2); +Victory.weight(middle, 2); +var Point = new FingerGesture("point"); +Point.curl(thumb, full, 1); +Point.curl(index, none, 0.5); +Point.curl(middle, full, 0.5); +Point.curl(ring, full, 0.5); +Point.curl(pinky, full, 0.5); +Point.weight(index, 2); +Point.weight(middle, 2); +var MiddleFinger = new FingerGesture("middle finger"); +MiddleFinger.curl(thumb, none, 1); +MiddleFinger.curl(index, full, 0.5); +MiddleFinger.curl(middle, full, 0.5); +MiddleFinger.curl(ring, full, 0.5); +MiddleFinger.curl(pinky, full, 0.5); +MiddleFinger.weight(index, 2); +MiddleFinger.weight(middle, 2); +var OpenPalm = new FingerGesture("open palm"); +OpenPalm.curl(thumb, none, 0.75); +OpenPalm.curl(index, none, 0.75); +OpenPalm.curl(middle, none, 0.75); +OpenPalm.curl(ring, none, 0.75); +OpenPalm.curl(pinky, none, 0.75); +var fingergesture_default = [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm]; + +// src/hand/fingerpose.ts +var minConfidence = 0.7; +var options3 = { + // curl estimation + HALF_CURL_START_LIMIT: 60, + NO_CURL_START_LIMIT: 130, + // direction estimation + DISTANCE_VOTE_POWER: 1.1, + SINGLE_ANGLE_VOTE_POWER: 0.9, + TOTAL_ANGLE_VOTE_POWER: 1.6 +}; +function calculateSlope(point1x, point1y, point2x, point2y) { + const value = (point1y - point2y) / (point1x - point2x); + let slope = Math.atan(value) * 180 / Math.PI; + if (slope <= 0) + slope = -slope; + else if (slope > 0) + slope = 180 - slope; + return slope; +} +function getSlopes(point1, point2) { + if (!point1 || !point2) + return [0, 0]; + const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]); + if (point1.length === 2) + return slopeXY; + const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]); + return [slopeXY, slopeYZ]; +} +function angleOrientationAt(angle, weightageAt = 1) { + let isVertical = 0; + let isDiagonal = 0; + let isHorizontal = 0; + if (angle >= 75 && angle <= 105) + isVertical = 1 * weightageAt; + else if (angle >= 25 && angle <= 155) + isDiagonal = 1 * weightageAt; + else + isHorizontal = 1 * weightageAt; + return [isVertical, isDiagonal, isHorizontal]; +} +function estimateFingerCurl(startPoint, midPoint, endPoint) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const start_mid_z_dist = startPoint[2] - midPoint[2]; + const start_end_z_dist = startPoint[2] - endPoint[2]; + const mid_end_z_dist = midPoint[2] - endPoint[2]; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist); + let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist); + if (cos_in > 1) + cos_in = 1; + else if (cos_in < -1) + cos_in = -1; + let angleOfCurve = Math.acos(cos_in); + angleOfCurve = 57.2958 * angleOfCurve % 180; + let fingerCurl; + if (angleOfCurve > options3.NO_CURL_START_LIMIT) + fingerCurl = FingerCurl.none; + else if (angleOfCurve > options3.HALF_CURL_START_LIMIT) + fingerCurl = FingerCurl.half; + else + fingerCurl = FingerCurl.full; + return fingerCurl; +} +function estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + if (max_dist_x === Math.abs(start_end_x_dist)) { + if (start_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else if (max_dist_x === Math.abs(start_mid_x_dist)) { + if (start_mid_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else { + if (mid_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } + return estimatedDirection; +} +function estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) { + let estimatedDirection; + if (max_dist_y === Math.abs(start_end_y_dist)) { + if (start_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else if (max_dist_y === Math.abs(start_mid_y_dist)) { + if (start_mid_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else { + if (mid_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } + return estimatedDirection; +} +function estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + if (reqd_vertical_direction === FingerDirection.verticalUp) { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalUpLeft; + else + estimatedDirection = FingerDirection.diagonalUpRight; + } else { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalDownLeft; + else + estimatedDirection = FingerDirection.diagonalDownRight; + } + return estimatedDirection; +} +function calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist)); + const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist)); + let voteVertical = 0; + let voteDiagonal = 0; + let voteHorizontal = 0; + const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 1e-5); + if (start_end_x_y_dist_ratio > 1.5) + voteVertical += options3.DISTANCE_VOTE_POWER; + else if (start_end_x_y_dist_ratio > 0.66) + voteDiagonal += options3.DISTANCE_VOTE_POWER; + else + voteHorizontal += options3.DISTANCE_VOTE_POWER; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist); + const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist); + let calc_start_point_x = startPoint[0]; + let calc_start_point_y = startPoint[1]; + let calc_end_point_x = endPoint[0]; + let calc_end_point_y = endPoint[1]; + if (max_dist === start_mid_dist) { + calc_end_point_x = endPoint[0]; + calc_end_point_y = endPoint[1]; + } else if (max_dist === mid_end_dist) { + calc_start_point_x = midPoint[0]; + calc_start_point_y = midPoint[1]; + } + const calcStartPoint = [calc_start_point_x, calc_start_point_y]; + const calcEndPoint = [calc_end_point_x, calc_end_point_y]; + const totalAngle = getSlopes(calcStartPoint, calcEndPoint); + const votes = angleOrientationAt(totalAngle, options3.TOTAL_ANGLE_VOTE_POWER); + voteVertical += votes[0]; + voteDiagonal += votes[1]; + voteHorizontal += votes[2]; + for (const fingerSlope of fingerSlopes) { + const fingerVotes = angleOrientationAt(fingerSlope, options3.SINGLE_ANGLE_VOTE_POWER); + voteVertical += fingerVotes[0]; + voteDiagonal += fingerVotes[1]; + voteHorizontal += fingerVotes[2]; + } + let estimatedDirection; + if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } else { + estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } + return estimatedDirection; +} +function estimate(landmarks) { + const slopesXY = []; + const slopesYZ = []; + const fingerCurls = []; + const fingerDirections = []; + if (!landmarks) + return { curls: fingerCurls, directions: fingerDirections }; + for (const finger of Finger.all) { + const points = Finger.getPoints(finger); + const slopeAtXY = []; + const slopeAtYZ = []; + for (const point2 of points) { + const point1 = landmarks[point2[0]]; + const point22 = landmarks[point2[1]]; + const slopes = getSlopes(point1, point22); + const slopeXY = slopes[0]; + const slopeYZ = slopes[1]; + slopeAtXY.push(slopeXY); + slopeAtYZ.push(slopeYZ); + } + slopesXY.push(slopeAtXY); + slopesYZ.push(slopeAtYZ); + } + for (const finger of Finger.all) { + const pointIndexAt = finger === Finger.thumb ? 1 : 0; + const fingerPointsAt = Finger.getPoints(finger); + const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]]; + const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]]; + const endPoint = landmarks[fingerPointsAt[3][1]]; + const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint); + const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt)); + fingerCurls[finger] = fingerCurled; + fingerDirections[finger] = fingerPosition; + } + return { curls: fingerCurls, directions: fingerDirections }; +} +function analyze(keypoints) { + if (!keypoints || keypoints.length === 0) + return null; + const estimatorRes = estimate(keypoints); + const landmarks = {}; + for (const fingerIdx of Finger.all) { + landmarks[Finger.getName(fingerIdx)] = { + curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]), + direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]) + }; + } + return landmarks; +} +function match(keypoints) { + const poses = []; + if (!keypoints || keypoints.length === 0) + return poses; + const estimatorRes = estimate(keypoints); + for (const gesture2 of fingergesture_default) { + const confidence = gesture2.matchAgainst(estimatorRes.curls, estimatorRes.directions); + if (confidence >= minConfidence) + poses.push({ name: gesture2.name, confidence }); + } + return poses; +} + +// src/gesture/gesture.ts +var body2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const leftWrist = res[i].keypoints.find((a) => a.part === "leftWrist"); + const rightWrist = res[i].keypoints.find((a) => a.part === "rightWrist"); + const nose = res[i].keypoints.find((a) => a.part === "nose"); + if (nose && leftWrist && rightWrist && leftWrist.position[1] < nose.position[1] && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "i give up" }); + else if (nose && leftWrist && leftWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise left hand" }); + else if (nose && rightWrist && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise right hand" }); + const leftShoulder = res[i].keypoints.find((a) => a.part === "leftShoulder"); + const rightShoulder = res[i].keypoints.find((a) => a.part === "rightShoulder"); + if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) { + gestures.push({ body: i, gesture: `leaning ${leftShoulder.position[1] > rightShoulder.position[1] ? "left" : "right"}` }); + } + } + return gestures; +}; +var face2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (res[i].mesh && res[i].mesh.length > 450) { + const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0); + const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0]; + if (Math.abs(zDiff / xDiff) <= 0.15) + gestures.push({ face: i, gesture: "facing center" }); + else + gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? "left" : "right"}` }); + const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); + if (openLeft < 0.2) + gestures.push({ face: i, gesture: "blink left eye" }); + const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); + if (openRight < 0.2) + gestures.push({ face: i, gesture: "blink right eye" }); + const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1])); + if (mouthOpen > 10) + gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` }); + const chinDepth = res[i].mesh[152][2] || 0; + if (Math.abs(chinDepth) > 10) + gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? "up" : "down"}` }); + } + } + return gestures; +}; +var iris2 = (res) => { + var _a, _b, _c, _d; + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (!((_b = (_a = res[i].annotations) == null ? void 0 : _a.leftEyeIris) == null ? void 0 : _b[0]) || !((_d = (_c = res[i].annotations) == null ? void 0 : _c.rightEyeIris) == null ? void 0 : _d[0])) + continue; + const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0]; + const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1]; + const areaLeft = Math.abs(sizeXLeft * sizeYLeft); + const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0]; + const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1]; + const areaRight = Math.abs(sizeXRight * sizeYRight); + let center = false; + const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight); + if (difference < 0.25) { + center = true; + gestures.push({ iris: i, gesture: "facing center" }); + } + const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2]; + const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2]; + if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) + center = false; + if (leftIrisCenterX > rightIrisCenterX) { + if (leftIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking right" }); + } else { + if (rightIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking left" }); + } + const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3]; + const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3]; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + center = false; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) + gestures.push({ iris: i, gesture: "looking down" }); + if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + gestures.push({ iris: i, gesture: "looking up" }); + if (center) + gestures.push({ iris: i, gesture: "looking center" }); + } + return gestures; +}; +var hand2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const fingers = []; + if (res[i].annotations) { + for (const [finger, pos] of Object.entries(res[i].annotations)) { + if (finger !== "palmBase" && Array.isArray(pos) && pos[0]) + fingers.push({ name: finger.toLowerCase(), position: pos[0] }); + } + } + if (fingers && fingers.length > 0) { + const closest = fingers.reduce((best, a) => (best.position[2] || 0) < (a.position[2] || 0) ? best : a); + gestures.push({ hand: i, gesture: `${closest.name} forward` }); + const highest = fingers.reduce((best, a) => best.position[1] < a.position[1] ? best : a); + gestures.push({ hand: i, gesture: `${highest.name} up` }); + } + if (res[i].keypoints) { + const poses = match(res[i].keypoints); + for (const pose of poses) + gestures.push({ hand: i, gesture: pose.name }); + } + } + return gestures; +}; + +// src/hand/handposedetector.ts +var tf27 = __toESM(require_tfjs_esm()); + +// src/hand/handposeutil.ts +var tf26 = __toESM(require_tfjs_esm()); +function getBoxSize2(box) { + return [ + Math.abs(box.endPoint[0] - box.startPoint[0]), + Math.abs(box.endPoint[1] - box.startPoint[1]) + ]; +} +function getBoxCenter2(box) { + return [ + box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, + box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2 + ]; +} +function cutBoxFromImageAndResize(box, image28, cropSize) { + const h = image28.shape[1]; + const w = image28.shape[2]; + const boxes = [[ + box.startPoint[1] / h, + box.startPoint[0] / w, + box.endPoint[1] / h, + box.endPoint[0] / w + ]]; + return tf26.image.cropAndResize(image28, boxes, [0], cropSize); +} +function scaleBoxCoordinates2(box, factor) { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const palmLandmarks = box.palmLandmarks.map((coord) => { + const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]]; + return scaledCoord; + }); + return { startPoint, endPoint, palmLandmarks, confidence: box.confidence }; +} +function enlargeBox2(box, factor = 1.5) { + const center = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const newHalfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]]; + const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function squarifyBox2(box) { + const centers = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const maxEdge = Math.max(...size2); + const halfSize = maxEdge / 2; + const startPoint = [centers[0] - halfSize, centers[1] - halfSize]; + const endPoint = [centers[0] + halfSize, centers[1] + halfSize]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function normalizeRadians2(angle) { + return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +} +function computeRotation2(point1, point2) { + const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]); + return normalizeRadians2(radians); +} +var buildTranslationMatrix2 = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +function dot2(v1, v2) { + let product = 0; + for (let i = 0; i < v1.length; i++) { + product += v1[i] * v2[i]; + } + return product; +} +function getColumnFrom2DArr2(arr, columnIndex) { + const column = []; + for (let i = 0; i < arr.length; i++) { + column.push(arr[i][columnIndex]); + } + return column; +} +function multiplyTransformMatrices2(mat1, mat2) { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) { + product[row].push(dot2(mat1[row], getColumnFrom2DArr2(mat2, col))); + } + } + return product; +} +function buildRotationMatrix2(rotation, center) { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix2(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices2(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix2(-center[0], -center[1]); + return multiplyTransformMatrices2(translationTimesRotation, negativeTranslationMatrix); +} +function invertTransformMatrix2(matrix) { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [ + -dot2(rotationComponent[0], translationComponent), + -dot2(rotationComponent[1], translationComponent) + ]; + return [ + rotationComponent[0].concat(invertedTranslation[0]), + rotationComponent[1].concat(invertedTranslation[1]), + [0, 0, 1] + ]; +} +function rotatePoint2(homogeneousCoordinate, rotationMatrix) { + return [ + dot2(homogeneousCoordinate, rotationMatrix[0]), + dot2(homogeneousCoordinate, rotationMatrix[1]) + ]; +} + +// src/hand/handposeanchors.ts +var anchors2 = [ + { x: 0.015625, y: 0.015625 }, + { x: 0.015625, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 } +]; + +// src/hand/handposedetector.ts +var HandDetector = class { + constructor(model23) { + __publicField(this, "model"); + __publicField(this, "anchors"); + __publicField(this, "anchorsTensor"); + __publicField(this, "inputSize"); + __publicField(this, "inputSizeTensor"); + __publicField(this, "doubleInputSizeTensor"); + var _a, _b, _c, _d; + this.model = model23; + this.anchors = anchors2.map((anchor) => [anchor.x, anchor.y]); + this.anchorsTensor = tf27.tensor2d(this.anchors); + this.inputSize = ((_d = (_c = (_b = (_a = this == null ? void 0 : this.model) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0]) == null ? void 0 : _c.shape) == null ? void 0 : _d[2]) || 0; + this.inputSizeTensor = tf27.tensor1d([this.inputSize, this.inputSize]); + this.doubleInputSizeTensor = tf27.tensor1d([this.inputSize * 2, this.inputSize * 2]); + } + normalizeBoxes(boxes) { + const t2 = {}; + t2.boxOffsets = tf27.slice(boxes, [0, 0], [-1, 2]); + t2.boxSizes = tf27.slice(boxes, [0, 2], [-1, 2]); + t2.div = tf27.div(t2.boxOffsets, this.inputSizeTensor); + t2.boxCenterPoints = tf27.add(t2.div, this.anchorsTensor); + t2.halfBoxSizes = tf27.div(t2.boxSizes, this.doubleInputSizeTensor); + t2.sub = tf27.sub(t2.boxCenterPoints, t2.halfBoxSizes); + t2.startPoints = tf27.mul(t2.sub, this.inputSizeTensor); + t2.add = tf27.add(t2.boxCenterPoints, t2.halfBoxSizes); + t2.endPoints = tf27.mul(t2.add, this.inputSizeTensor); + const res = tf27.concat2d([t2.startPoints, t2.endPoints], 1); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + normalizeLandmarks(rawPalmLandmarks, index2) { + const t2 = {}; + t2.reshape = tf27.reshape(rawPalmLandmarks, [-1, 7, 2]); + t2.div = tf27.div(t2.reshape, this.inputSizeTensor); + t2.landmarks = tf27.add(t2.div, this.anchors[index2] ? this.anchors[index2] : 0); + const res = tf27.mul(t2.landmarks, this.inputSizeTensor); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + async predict(input, config3) { + var _a; + const t2 = {}; + t2.resize = tf27.image.resizeBilinear(input, [this.inputSize, this.inputSize]); + t2.div = tf27.div(t2.resize, constants.tf127); + t2.image = tf27.sub(t2.div, constants.tf1); + t2.batched = this.model.execute(t2.image); + t2.predictions = tf27.squeeze(t2.batched); + t2.slice = tf27.slice(t2.predictions, [0, 0], [-1, 1]); + t2.sigmoid = tf27.sigmoid(t2.slice); + t2.scores = tf27.squeeze(t2.sigmoid); + const scores = await t2.scores.data(); + t2.boxes = tf27.slice(t2.predictions, [0, 1], [-1, 4]); + t2.norm = this.normalizeBoxes(t2.boxes); + t2.nms = await tf27.image.nonMaxSuppressionAsync(t2.norm, t2.scores, 3 * (((_a = config3.hand) == null ? void 0 : _a.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); + const nms = await t2.nms.array(); + const hands = []; + for (const index2 of nms) { + const p = {}; + p.box = tf27.slice(t2.norm, [index2, 0], [1, -1]); + p.slice = tf27.slice(t2.predictions, [index2, 5], [1, 14]); + p.norm = this.normalizeLandmarks(p.slice, index2); + p.palmLandmarks = tf27.reshape(p.norm, [-1, 2]); + const box = await p.box.data(); + const startPoint = box.slice(0, 2); + const endPoint = box.slice(2, 4); + const palmLandmarks = await p.palmLandmarks.array(); + const hand3 = { startPoint, endPoint, palmLandmarks, confidence: scores[index2] }; + const scaled = scaleBoxCoordinates2(hand3, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]); + hands.push(scaled); + Object.keys(p).forEach((tensor6) => tf27.dispose(p[tensor6])); + } + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return hands; + } +}; + +// src/hand/handposepipeline.ts +var tf28 = __toESM(require_tfjs_esm()); +var palmBoxEnlargeFactor = 5; +var handBoxEnlargeFactor = 1.65; +var palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2]; +var palmLandmarksPalmBase = 0; +var palmLandmarksMiddleFingerBase = 2; +var lastTime13 = 0; +var HandPipeline = class { + constructor(handDetector, handPoseModel2) { + __publicField(this, "handDetector"); + __publicField(this, "handPoseModel"); + __publicField(this, "inputSize"); + __publicField(this, "storedBoxes"); + __publicField(this, "skipped"); + __publicField(this, "detectedHands"); + var _a, _b, _c; + this.handDetector = handDetector; + this.handPoseModel = handPoseModel2; + this.inputSize = ((_c = (_b = (_a = this.handPoseModel) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[2]) || 0; + this.storedBoxes = []; + this.skipped = Number.MAX_SAFE_INTEGER; + this.detectedHands = 0; + } + calculateLandmarksBoundingBox(landmarks) { + const xs = landmarks.map((d) => d[0]); + const ys = landmarks.map((d) => d[1]); + const startPoint = [Math.min(...xs), Math.min(...ys)]; + const endPoint = [Math.max(...xs), Math.max(...ys)]; + return { startPoint, endPoint }; + } + getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) { + const rotatedPalmLandmarks = palmLandmarks.map((coord) => rotatePoint2([...coord, 1], rotationMatrix)); + const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks); + return enlargeBox2(squarifyBox2(boxAroundPalm), palmBoxEnlargeFactor); + } + getBoxForHandLandmarks(landmarks) { + const boundingBox = this.calculateLandmarksBoundingBox(landmarks); + const boxAroundHand = enlargeBox2(squarifyBox2(boundingBox), handBoxEnlargeFactor); + boxAroundHand.palmLandmarks = []; + for (let i = 0; i < palmLandmarkIds.length; i++) { + boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2)); + } + return boxAroundHand; + } + transformRawCoords(rawCoords, box2, angle, rotationMatrix) { + const boxSize = getBoxSize2(box2); + const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2]; + const coordsScaled = rawCoords.map((coord) => [ + scaleFactor[0] * (coord[0] - this.inputSize / 2), + scaleFactor[1] * (coord[1] - this.inputSize / 2), + scaleFactor[2] * coord[2] + ]); + const coordsRotationMatrix = buildRotationMatrix2(angle, [0, 0]); + const coordsRotated = coordsScaled.map((coord) => { + const rotated = rotatePoint2(coord, coordsRotationMatrix); + return [...rotated, coord[2]]; + }); + const inverseRotationMatrix = invertTransformMatrix2(rotationMatrix); + const boxCenter = [...getBoxCenter2(box2), 1]; + const originalBoxCenter = [ + dot2(boxCenter, inverseRotationMatrix[0]), + dot2(boxCenter, inverseRotationMatrix[1]) + ]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + originalBoxCenter[0]), + Math.trunc(coord[1] + originalBoxCenter[1]), + Math.trunc(coord[2]) + ]); + } + async estimateHands(image28, config3) { + let useFreshBox = false; + let boxes; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime13; + const skipFrame = this.skipped < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + boxes = await this.handDetector.predict(image28, config3); + this.skipped = 0; + } + if (config3.skipAllowed) + this.skipped++; + if (boxes && boxes.length > 0 && (boxes.length !== this.detectedHands && this.detectedHands !== config3.hand.maxDetected || !config3.hand.landmarks)) { + this.detectedHands = 0; + this.storedBoxes = [...boxes]; + if (this.storedBoxes.length > 0) + useFreshBox = true; + } + const hands = []; + for (let i = 0; i < this.storedBoxes.length; i++) { + const currentBox = this.storedBoxes[i]; + if (!currentBox) + continue; + if (config3.hand.landmarks) { + const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0; + const palmCenter = getBoxCenter2(currentBox); + const palmCenterNormalized = [palmCenter[0] / image28.shape[2], palmCenter[1] / image28.shape[1]]; + const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? tf28.image.rotateWithOffset(image28, angle, 0, palmCenterNormalized) : image28.clone(); + const rotationMatrix = buildRotationMatrix2(-angle, palmCenter); + const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox; + const croppedInput = cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]); + const handImage = tf28.div(croppedInput, constants.tf255); + tf28.dispose(croppedInput); + tf28.dispose(rotatedImage); + const [confidenceT, keypoints] = this.handPoseModel.execute(handImage); + lastTime13 = now(); + tf28.dispose(handImage); + const confidence = (await confidenceT.data())[0]; + tf28.dispose(confidenceT); + if (confidence >= config3.hand.minConfidence / 4) { + const keypointsReshaped = tf28.reshape(keypoints, [-1, 3]); + const rawCoords = await keypointsReshaped.array(); + tf28.dispose(keypoints); + tf28.dispose(keypointsReshaped); + const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); + const nextBoundingBox = this.getBoxForHandLandmarks(coords); + this.storedBoxes[i] = { ...nextBoundingBox, confidence }; + const result = { + landmarks: coords, + confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: confidence, + box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint } + }; + hands.push(result); + } else { + this.storedBoxes[i] = null; + } + tf28.dispose(keypoints); + } else { + const enlarged = enlargeBox2(squarifyBox2(currentBox), handBoxEnlargeFactor); + const result = { + confidence: currentBox.confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: 0, + box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint }, + landmarks: [] + }; + hands.push(result); + } + } + this.storedBoxes = this.storedBoxes.filter((a) => a !== null); + this.detectedHands = hands.length; + if (hands.length > config3.hand.maxDetected) + hands.length = config3.hand.maxDetected; + return hands; + } +}; + +// src/hand/handpose.ts +var meshAnnotations2 = { + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + palm: [0] +}; +var handDetectorModel; +var handPoseModel; +var handPipeline; +async function predict14(input, config3) { + const predictions = await handPipeline.estimateHands(input, config3); + if (!predictions) + return []; + const hands = []; + for (let i = 0; i < predictions.length; i++) { + const annotations2 = {}; + if (predictions[i].landmarks) { + for (const key of Object.keys(meshAnnotations2)) { + annotations2[key] = meshAnnotations2[key].map((index2) => predictions[i].landmarks[index2]); + } + } + const keypoints = predictions[i].landmarks; + let box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; + let boxRaw = [0, 0, 0, 0]; + if (keypoints && keypoints.length > 0) { + for (const pt of keypoints) { + if (pt[0] < box[0]) + box[0] = pt[0]; + if (pt[1] < box[1]) + box[1] = pt[1]; + if (pt[0] > box[2]) + box[2] = pt[0]; + if (pt[1] > box[3]) + box[3] = pt[1]; + } + box[2] -= box[0]; + box[3] -= box[1]; + boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)]; + } else { + box = predictions[i].box ? [ + Math.trunc(Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.max(0, predictions[i].box.topLeft[1])), + Math.trunc(Math.min(input.shape[2] || 0, predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.min(input.shape[1] || 0, predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])) + ] : [0, 0, 0, 0]; + boxRaw = [ + predictions[i].box.topLeft[0] / (input.shape[2] || 0), + predictions[i].box.topLeft[1] / (input.shape[1] || 0), + (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0), + (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0) + ]; + } + const landmarks = analyze(keypoints); + hands.push({ + id: i, + score: Math.round(100 * predictions[i].confidence) / 100, + boxScore: Math.round(100 * predictions[i].boxConfidence) / 100, + fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100, + label: "hand", + box, + boxRaw, + keypoints, + annotations: annotations2, + landmarks + }); + } + return hands; +} +async function load15(config3) { + var _a, _b; + if (env.initial) { + handDetectorModel = null; + handPoseModel = null; + } + if (!handDetectorModel || !handPoseModel) { + [handDetectorModel, handPoseModel] = await Promise.all([ + config3.hand.enabled ? loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) : null, + config3.hand.landmarks ? loadModel((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) : null + ]); + } else { + if (config3.debug) + log("cached model:", handDetectorModel["modelUrl"]); + if (config3.debug) + log("cached model:", handPoseModel["modelUrl"]); + } + const handDetector = handDetectorModel ? new HandDetector(handDetectorModel) : void 0; + if (handDetector && handPoseModel) + handPipeline = new HandPipeline(handDetector, handPoseModel); + return [handDetectorModel, handPoseModel]; +} + +// src/hand/handtrack.ts +var tf29 = __toESM(require_tfjs_esm()); +var models2 = [null, null]; +var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"]; +var inputSize7 = [[0, 0], [0, 0]]; +var classes = ["hand", "fist", "pinch", "point", "face", "tip", "pinchtip"]; +var faceIndex = 4; +var boxExpandFact = 1.6; +var maxDetectorResolution = 512; +var detectorExpandFact = 1.4; +var skipped13 = Number.MAX_SAFE_INTEGER; +var lastTime14 = 0; +var outputSize = [0, 0]; +var cache4 = { + boxes: [], + hands: [] +}; +var fingerMap = { + /* + thumb: [0, 1, 2, 3, 4], + index: [0, 5, 6, 7, 8], + middle: [0, 9, 10, 11, 12], + ring: [0, 13, 14, 15, 16], + pinky: [0, 17, 18, 19, 20], + palm: [0], + */ + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + base: [0], + palm: [0, 17, 13, 9, 5, 1, 0] +}; +async function loadDetect2(config3) { + var _a; + if (env.initial) + models2[0] = null; + if (!models2[0]) { + fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3); + models2[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath); + const inputs = models2[0]["executor"] ? Object.values(models2[0].modelSignature["inputs"]) : void 0; + inputSize7[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[0]["modelUrl"]); + return models2[0]; +} +async function loadSkeleton(config3) { + var _a; + if (env.initial) + models2[1] = null; + if (!models2[1]) { + models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath); + const inputs = models2[1]["executor"] ? Object.values(models2[1].modelSignature["inputs"]) : void 0; + inputSize7[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[1]["modelUrl"]); + return models2[1]; +} +async function detectHands(input, config3) { + const hands = []; + if (!input || !models2[0]) + return hands; + const t2 = {}; + const ratio2 = (input.shape[2] || 1) / (input.shape[1] || 1); + const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); + const width = Math.round(height * ratio2 / 8) * 8; + t2.resize = tf29.image.resizeBilinear(input, [height, width]); + t2.cast = tf29.cast(t2.resize, "int32"); + [t2.rawScores, t2.rawBoxes] = await models2[0].executeAsync(t2.cast, modelOutputNodes); + t2.boxes = tf29.squeeze(t2.rawBoxes, [0, 2]); + t2.scores = tf29.squeeze(t2.rawScores, [0]); + const classScores = tf29.unstack(t2.scores, 1); + tf29.dispose(classScores[faceIndex]); + classScores.splice(faceIndex, 1); + t2.filtered = tf29.stack(classScores, 1); + tf29.dispose(classScores); + t2.max = tf29.max(t2.filtered, 1); + t2.argmax = tf29.argMax(t2.filtered, 1); + let id = 0; + t2.nms = await tf29.image.nonMaxSuppressionAsync(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); + const nms = await t2.nms.data(); + const scores = await t2.max.data(); + const classNum = await t2.argmax.data(); + for (const nmsIndex of Array.from(nms)) { + const boxSlice = tf29.slice(t2.boxes, nmsIndex, 1); + const boxYX = await boxSlice.data(); + tf29.dispose(boxSlice); + const boxData = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; + const boxRaw = scale(boxData, detectorExpandFact); + const boxFull = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])]; + const score = scores[nmsIndex]; + const label = classes[classNum[nmsIndex]]; + const hand3 = { id: id++, score, box: boxFull, boxRaw, label }; + hands.push(hand3); + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + hands.sort((a, b) => b.score - a.score); + if (hands.length > (config3.hand.maxDetected || 1)) + hands.length = config3.hand.maxDetected || 1; + return hands; +} +async function detectFingers(input, h, config3) { + const hand3 = { + // initial values inherited from hand detect + id: h.id, + score: Math.round(100 * h.score) / 100, + boxScore: Math.round(100 * h.score) / 100, + fingerScore: 0, + box: h.box, + boxRaw: h.boxRaw, + label: h.label, + keypoints: [], + landmarks: {}, + annotations: {} + }; + if (input && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) { + const t2 = {}; + const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]]; + t2.crop = tf29.image.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); + t2.div = tf29.div(t2.crop, constants.tf255); + [t2.score, t2.keypoints] = models2[1].execute(t2.div, ["Identity_1", "Identity"]); + const rawScore = (await t2.score.data())[0]; + const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; + if (score >= (config3.hand.minConfidence || 0)) { + hand3.fingerScore = score; + t2.reshaped = tf29.reshape(t2.keypoints, [-1, 3]); + const coordsData = await t2.reshaped.array(); + const coordsRaw = coordsData.map((kpt4) => [kpt4[0] / inputSize7[1][1], kpt4[1] / inputSize7[1][0], kpt4[2] || 0]); + const coordsNorm = coordsRaw.map((kpt4) => [kpt4[0] * h.boxRaw[2], kpt4[1] * h.boxRaw[3], kpt4[2] || 0]); + hand3.keypoints = coordsNorm.map((kpt4) => [outputSize[0] * (kpt4[0] + h.boxRaw[0]), outputSize[1] * (kpt4[1] + h.boxRaw[1]), kpt4[2] || 0]); + hand3.landmarks = analyze(hand3.keypoints); + for (const key of Object.keys(fingerMap)) { + hand3.annotations[key] = fingerMap[key].map((index2) => hand3.landmarks && hand3.keypoints[index2] ? hand3.keypoints[index2] : null); + } + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + } + return hand3; +} +async function predict15(input, config3) { + var _a, _b; + if (!((_a = models2[0]) == null ? void 0 : _a["executor"]) || !((_b = models2[1]) == null ? void 0 : _b["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) + return []; + outputSize = [input.shape[2] || 0, input.shape[1] || 0]; + skipped13++; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrame = skipped13 < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache4.hands; + } + return new Promise(async (resolve) => { + const skipTimeExtended = 3 * (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrameExtended = skipped13 < 3 * (config3.hand.skipFrames || 0); + if (config3.skipAllowed && cache4.hands.length === config3.hand.maxDetected) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else if (config3.skipAllowed && skipTimeExtended && skipFrameExtended && cache4.hands.length > 0) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else { + cache4.boxes = await detectHands(input, config3); + lastTime14 = now(); + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + skipped13 = 0; + } + const oldCache = [...cache4.boxes]; + cache4.boxes.length = 0; + if (config3.cacheSensitivity > 0) { + for (let i = 0; i < cache4.hands.length; i++) { + const boxKpt = square(cache4.hands[i].keypoints, outputSize); + if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache4.hands[i].fingerScore && cache4.hands[i].fingerScore > (config3.hand.minConfidence || 0)) { + const boxScale = scale(boxKpt.box, boxExpandFact); + const boxScaleRaw = scale(boxKpt.boxRaw, boxExpandFact); + cache4.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw }); + } + } + } + for (let i = 0; i < cache4.hands.length; i++) { + const bbox = calc(cache4.hands[i].keypoints, outputSize); + cache4.hands[i].box = bbox.box; + cache4.hands[i].boxRaw = bbox.boxRaw; + } + resolve(cache4.hands); + }); +} + +// src/result.ts +var empty = (error = null) => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error }); + +// src/body/movenetcoords.ts +var movenetcoords_exports = {}; +__export(movenetcoords_exports, { + connected: () => connected3, + horizontal: () => horizontal, + kpt: () => kpt3, + relative: () => relative, + vertical: () => vertical +}); +var kpt3 = [ + // used to create part labels + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var horizontal = [ + // used to fix left vs right + ["leftEye", "rightEye"], + ["leftEar", "rightEar"], + ["leftShoulder", "rightShoulder"], + ["leftElbow", "rightElbow"], + ["leftWrist", "rightWrist"], + ["leftHip", "rightHip"], + ["leftKnee", "rightKnee"], + ["leftAnkle", "rightAnkle"] +]; +var vertical = [ + // used to remove unlikely keypoint positions + ["leftKnee", "leftShoulder"], + ["rightKnee", "rightShoulder"], + ["leftAnkle", "leftKnee"], + ["rightAnkle", "rightKnee"] +]; +var relative = [ + // used to match relative body parts + [["leftHip", "rightHip"], ["leftShoulder", "rightShoulder"]], + [["leftElbow", "rightElbow"], ["leftShoulder", "rightShoulder"]] +]; +var connected3 = { + // used to create body outline in annotations + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/util/interpolate.ts +var bufferedResult = empty(); +var interpolateTime = 0; +function calc2(newResult, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z; + const t0 = now(); + if (!newResult) + return empty(); + const elapsed = Date.now() - newResult.timestamp; + const bufferedFactor = elapsed < 1e3 ? 8 - Math.log(elapsed + 1) : 1; + if (newResult.canvas) + bufferedResult.canvas = newResult.canvas; + if (newResult.error) + bufferedResult.error = newResult.error; + if (!bufferedResult.body || newResult.body.length !== bufferedResult.body.length) { + bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)); + } else { + for (let i = 0; i < newResult.body.length; i++) { + const box = newResult.body[i].box.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor); + const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor); + const keypoints = newResult.body[i].keypoints.map((newKpt, j) => { + var _a2, _b2, _c2, _d2, _e2, _f2, _g2, _h2, _i2; + return { + score: newKpt.score, + part: newKpt.part, + position: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] + ], + positionRaw: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] + ], + distance: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_a2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _a2[0]) || 0) + (((_b2 = newKpt.distance) == null ? void 0 : _b2[0]) || 0)) / bufferedFactor : (_c2 = newKpt.distance) == null ? void 0 : _c2[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_d2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _d2[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f2 = newKpt.distance) == null ? void 0 : _f2[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_g2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _g2[2]) || 0) + (((_h2 = newKpt.distance) == null ? void 0 : _h2[2]) || 0)) / bufferedFactor : (_i2 = newKpt.distance) == null ? void 0 : _i2[2] + ] + }; + }); + const annotations2 = {}; + let coords = { connected: {} }; + if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("efficientpose")) + coords = efficientposecoords_exports; + else if ((_b = config3.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + coords = blazeposecoords_exports; + else if ((_c = config3.body.modelPath) == null ? void 0 : _c.includes("movenet")) + coords = movenetcoords_exports; + for (const [name, indexes] of Object.entries(coords.connected)) { + const pt = []; + for (let j = 0; j < indexes.length - 1; j++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[j]); + const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.hand || newResult.hand.length !== bufferedResult.hand.length) { + bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); + } else { + for (let i = 0; i < newResult.hand.length; i++) { + const box = newResult.hand[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.hand[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor); + if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) + bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; + const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; + let annotations2 = {}; + if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) { + bufferedResult.hand[i].annotations = newResult.hand[i].annotations; + annotations2 = bufferedResult.hand[i].annotations; + } else if (newResult.hand[i].annotations) { + for (const key of Object.keys(newResult.hand[i].annotations)) { + annotations2[key] = ((_f = (_e = (_d = newResult.hand[i]) == null ? void 0 : _d.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f[0]) ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { + bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)); + } else { + for (let i = 0; i < newResult.face.length; i++) { + const box = newResult.face[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.face[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor); + let annotations2 = newResult.face[i].annotations; + if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) { + bufferedResult.face[i].annotations = newResult.face[i].annotations; + annotations2 = bufferedResult.face[i].annotations; + } else if (newResult.face[i].annotations) { + for (const key of Object.keys(newResult.face[i].annotations)) { + annotations2[key] = ((_i = (_h = (_g = newResult.face[i]) == null ? void 0 : _g.annotations) == null ? void 0 : _h[key]) == null ? void 0 : _i[0]) ? newResult.face[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + if (newResult.face[i].rotation) { + const rotation = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } }; + rotation.matrix = (_j = newResult.face[i].rotation) == null ? void 0 : _j.matrix; + rotation.angle = { + roll: ((bufferedFactor - 1) * (((_l = (_k = bufferedResult.face[i].rotation) == null ? void 0 : _k.angle) == null ? void 0 : _l.roll) || 0) + (((_n = (_m = newResult.face[i].rotation) == null ? void 0 : _m.angle) == null ? void 0 : _n.roll) || 0)) / bufferedFactor, + yaw: ((bufferedFactor - 1) * (((_p = (_o = bufferedResult.face[i].rotation) == null ? void 0 : _o.angle) == null ? void 0 : _p.yaw) || 0) + (((_r = (_q = newResult.face[i].rotation) == null ? void 0 : _q.angle) == null ? void 0 : _r.yaw) || 0)) / bufferedFactor, + pitch: ((bufferedFactor - 1) * (((_t = (_s = bufferedResult.face[i].rotation) == null ? void 0 : _s.angle) == null ? void 0 : _t.pitch) || 0) + (((_v = (_u = newResult.face[i].rotation) == null ? void 0 : _u.angle) == null ? void 0 : _v.pitch) || 0)) / bufferedFactor + }; + rotation.gaze = { + // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive + bearing: ((bufferedFactor - 1) * (((_w = bufferedResult.face[i].rotation) == null ? void 0 : _w.gaze.bearing) || 0) + (((_x = newResult.face[i].rotation) == null ? void 0 : _x.gaze.bearing) || 0)) / bufferedFactor, + strength: ((bufferedFactor - 1) * (((_y = bufferedResult.face[i].rotation) == null ? void 0 : _y.gaze.strength) || 0) + (((_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze.strength) || 0)) / bufferedFactor + }; + bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations: annotations2 }; + } else { + bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations: annotations2 }; + } + } + } + if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) { + bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)); + } else { + for (let i = 0; i < newResult.object.length; i++) { + const box = newResult.object[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.object[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor); + bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; + } + } + if (newResult.persons) { + const newPersons = newResult.persons; + if (!bufferedResult.persons || newPersons.length !== bufferedResult.persons.length) { + bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)); + } else { + for (let i = 0; i < newPersons.length; i++) { + bufferedResult.persons[i].box = newPersons[i].box.map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor); + } + } + } + if (newResult.gesture) + bufferedResult.gesture = newResult.gesture; + bufferedResult.width = newResult.width; + bufferedResult.height = newResult.height; + const t1 = now(); + interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0); + if (newResult.performance) + bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime }; + return bufferedResult; +} + +// src/segmentation/meet.ts +var tf30 = __toESM(require_tfjs_esm()); +var model17; +async function load16(config3) { + if (!model17 || env.initial) + model17 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model17["modelUrl"]); + return model17; +} +async function predict16(input, config3) { + var _a; + if (!model17) + model17 = await load16(config3); + if (!(model17 == null ? void 0 : model17["executor"]) || !((_a = model17 == null ? void 0 : model17.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf30.image.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); + t2.norm = tf30.div(t2.resize, constants.tf255); + t2.res = model17.execute(t2.norm); + t2.squeeze = tf30.squeeze(t2.res, [0]); + [t2.bgRaw, t2.fgRaw] = tf30.unstack(t2.squeeze, 2); + t2.fg = tf30.softmax(t2.fgRaw); + t2.mul = tf30.mul(t2.fg, constants.tf255); + t2.expand = tf30.expandDims(t2.mul, 2); + t2.output = tf30.image.resizeBilinear(t2.expand, [input.shape[1] || 0, input.shape[2] || 0]); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf30.squeeze(input); + t2.concat = tf30.concat([t2.input, t2.output], -1); + rgba = tf30.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf30.cast(t2.output, "int32"); + break; + default: + rgba = tf30.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf30.dispose(t2[tensor6])); + return rgba; +} + +// src/face/match.ts +var match_exports = {}; +__export(match_exports, { + distance: () => distance, + find: () => find, + similarity: () => similarity +}); +function distance(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25 }) { + if (!descriptor1 || !descriptor1) + return Number.MAX_SAFE_INTEGER; + let sum3 = 0; + for (let i = 0; i < descriptor1.length; i++) { + const diff = !options4.order || options4.order === 2 ? descriptor1[i] - descriptor2[i] : Math.abs(descriptor1[i] - descriptor2[i]); + sum3 += !options4.order || options4.order === 2 ? diff * diff : diff ** options4.order; + } + return (options4.multiplier || 20) * sum3; +} +var normalizeDistance = (dist, order, min2, max5) => { + if (dist === 0) + return 1; + const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); + const norm = (1 - root / 100 - min2) / (max5 - min2); + const clamp2 = Math.max(Math.min(norm, 1), 0); + return clamp2; +}; +function similarity(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) { + const dist = distance(descriptor1, descriptor2, options4); + return normalizeDistance(dist, options4.order || 2, options4.min || 0, options4.max || 1); +} +function find(descriptor, descriptors, options4 = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) { + if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { + return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 }; + } + let lowestDistance = Number.MAX_SAFE_INTEGER; + let index2 = -1; + for (let i = 0; i < descriptors.length; i++) { + const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options4) : Number.MAX_SAFE_INTEGER; + if (res < lowestDistance) { + lowestDistance = res; + index2 = i; + } + if (lowestDistance < (options4.threshold || 0)) + break; + } + const normalizedSimilarity = normalizeDistance(lowestDistance, options4.order || 2, options4.min || 0, options4.max || 1); + return { index: index2, distance: lowestDistance, similarity: normalizedSimilarity }; +} + +// src/models.ts +var models_exports2 = {}; +__export(models_exports2, { + Models: () => Models, + validateModel: () => validateModel +}); + +// src/body/movenet.ts +var tf32 = __toESM(require_tfjs_esm()); + +// src/body/movenetfix.ts +var tf31 = __toESM(require_tfjs_esm()); +var maxJitter = 5e-3; +var cache5 = { + keypoints: [], + padding: [[0, 0], [0, 0], [0, 0], [0, 0]] +}; +function bodyParts(body4) { + for (const pair of horizontal) { + const left = body4.keypoints.findIndex((kp) => kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp.part === pair[1]); + if (body4.keypoints[left] && body4.keypoints[right]) { + if (body4.keypoints[left].position[0] < body4.keypoints[right].position[0]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } + } + for (const pair of vertical) { + const lower = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const higher = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + if (body4.keypoints[lower] && body4.keypoints[higher]) { + if (body4.keypoints[lower].position[1] < body4.keypoints[higher].position[1]) { + body4.keypoints.splice(lower, 1); + } + } + } + for (const [pair, compare2] of relative) { + const left = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + const leftTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[0]); + const rightTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[1]); + if (!body4.keypoints[leftTo] || !body4.keypoints[rightTo]) + continue; + const distanceLeft = body4.keypoints[left] ? [ + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[left].position[0]), + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[left].position[0]) + ] : [0, 0]; + const distanceRight = body4.keypoints[right] ? [ + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[right].position[0]), + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[right].position[0]) + ] : [0, 0]; + if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } +} +function jitter(keypoints) { + for (let i = 0; i < keypoints.length; i++) { + if (keypoints[i] && cache5.keypoints[i]) { + const diff = [Math.abs(keypoints[i].positionRaw[0] - cache5.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache5.keypoints[i].positionRaw[1])]; + if (diff[0] < maxJitter && diff[1] < maxJitter) { + keypoints[i] = cache5.keypoints[i]; + } else { + cache5.keypoints[i] = keypoints[i]; + } + } else { + cache5.keypoints[i] = keypoints[i]; + } + } + return keypoints; +} +function padInput(input, inputSize10) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + cache5.padding = [ + [0, 0], + // dont touch batch + [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], + // height before&after + [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf31.pad(input, cache5.padding); + t2.resize = tf31.image.resizeBilinear(t2.pad, [inputSize10, inputSize10]); + const final = tf31.cast(t2.resize, "int32"); + Object.keys(t2).forEach((tensor6) => tf31.dispose(t2[tensor6])); + return final; +} +function rescaleBody(body4, outputSize2) { + body4.keypoints = body4.keypoints.filter((kpt4) => kpt4 == null ? void 0 : kpt4.position); + for (const kpt4 of body4.keypoints) { + kpt4.position = [ + kpt4.position[0] * (outputSize2[0] + cache5.padding[2][0] + cache5.padding[2][1]) / outputSize2[0] - cache5.padding[2][0], + kpt4.position[1] * (outputSize2[1] + cache5.padding[1][0] + cache5.padding[1][1]) / outputSize2[1] - cache5.padding[1][0] + ]; + kpt4.positionRaw = [ + kpt4.position[0] / outputSize2[0], + kpt4.position[1] / outputSize2[1] + ]; + } + const rescaledBoxes = calc(body4.keypoints.map((pt) => pt.position), outputSize2); + body4.box = rescaledBoxes.box; + body4.boxRaw = rescaledBoxes.boxRaw; + return body4; +} + +// src/body/movenet.ts +var model18; +var inputSize8 = 0; +var skipped14 = Number.MAX_SAFE_INTEGER; +var cache6 = { + boxes: [], + bodies: [], + last: 0 +}; +async function load17(config3) { + var _a; + if (env.initial) + model18 = null; + if (!model18) { + fakeOps(["size"], config3); + model18 = await loadModel(config3.body.modelPath); + } else if (config3.debug) + log("cached model:", model18["modelUrl"]); + inputSize8 = (model18 == null ? void 0 : model18["executor"]) && ((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape) ? model18.inputs[0].shape[2] : 0; + if (inputSize8 < 64) + inputSize8 = 256; + if (tf32.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf32.env().set("WEBGL_USE_SHAPES_UNIFORMS", false); + return model18; +} +function parseSinglePose(res, config3, image28) { + const kpt4 = res[0][0]; + const keypoints = []; + let score = 0; + for (let id = 0; id < kpt4.length; id++) { + score = kpt4[id][2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[id][1], kpt4[id][0]]; + keypoints.push({ + score: Math.round(100 * score) / 100, + part: kpt3[id], + positionRaw, + position: [ + // normalized to input image size + Math.round((image28.shape[2] || 0) * positionRaw[0]), + Math.round((image28.shape[1] || 0) * positionRaw[1]) + ] + }); + } + } + score = keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const bodies = []; + const newBox = calc(keypoints.map((pt) => pt.position), [image28.shape[2], image28.shape[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + return bodies; +} +function parseMultiPose(res, config3, image28) { + const bodies = []; + for (let id = 0; id < res[0].length; id++) { + const kpt4 = res[0][id]; + const boxScore = Math.round(100 * kpt4[51 + 4]) / 100; + if (boxScore > config3.body.minConfidence) { + const keypoints = []; + for (let i = 0; i < 17; i++) { + const score = kpt4[3 * i + 2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[3 * i + 1], kpt4[3 * i + 0]]; + keypoints.push({ + part: kpt3[i], + score: Math.round(100 * score) / 100, + positionRaw, + position: [Math.round((image28.shape[2] || 0) * positionRaw[0]), Math.round((image28.shape[1] || 0) * positionRaw[1])] + }); + } + } + const boxRaw = [kpt4[51 + 1], kpt4[51 + 0], kpt4[51 + 3] - kpt4[51 + 1], kpt4[51 + 2] - kpt4[51 + 0]]; + const boxNorm = [Math.trunc(boxRaw[0] * (image28.shape[2] || 0)), Math.trunc(boxRaw[1] * (image28.shape[1] || 0)), Math.trunc(boxRaw[2] * (image28.shape[2] || 0)), Math.trunc(boxRaw[3] * (image28.shape[1] || 0))]; + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + } + } + bodies.sort((a, b) => b.score - a.score); + if (bodies.length > config3.body.maxDetected) + bodies.length = config3.body.maxDetected; + return bodies; +} +async function predict17(input, config3) { + var _a; + if (!(model18 == null ? void 0 : model18["executor"]) || !((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape)) + return []; + if (!config3.skipAllowed) + cache6.boxes.length = 0; + skipped14++; + const skipTime = (config3.body.skipTime || 0) > now() - cache6.last; + const skipFrame = skipped14 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache6.bodies; + } + return new Promise(async (resolve) => { + const t2 = {}; + skipped14 = 0; + t2.input = padInput(input, inputSize8); + t2.res = model18 == null ? void 0 : model18.execute(t2.input); + cache6.last = now(); + const res = await t2.res.array(); + cache6.bodies = t2.res.shape[2] === 17 ? parseSinglePose(res, config3, input) : parseMultiPose(res, config3, input); + for (const body4 of cache6.bodies) { + rescaleBody(body4, [input.shape[2] || 1, input.shape[1] || 1]); + jitter(body4.keypoints); + } + Object.keys(t2).forEach((tensor6) => tf32.dispose(t2[tensor6])); + resolve(cache6.bodies); + }); +} + +// src/object/nanodet.ts +var tf33 = __toESM(require_tfjs_esm()); +var model19; +var last10 = []; +var lastTime15 = 0; +var skipped15 = Number.MAX_SAFE_INTEGER; +var inputSize9 = 0; +var scaleBox = 2.5; +async function load18(config3) { + if (!model19 || env.initial) { + model19 = await loadModel(config3.object.modelPath); + const inputs = (model19 == null ? void 0 : model19["executor"]) ? Object.values(model19.modelSignature["inputs"]) : void 0; + inputSize9 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416; + } else if (config3.debug) + log("cached model:", model19["modelUrl"]); + return model19; +} +async function process4(res, outputShape, config3) { + var _a, _b; + let id = 0; + let results = []; + const size2 = inputSize9; + for (const strideSize of [1, 2, 4]) { + const baseSize = strideSize * 13; + const scoresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); + const scores = await scoresT.array(); + const featuresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); + const boxesMaxT = tf33.reshape(featuresT, [-1, 4, (((_a = featuresT.shape) == null ? void 0 : _a[1]) || 0) / 4]); + const boxIdxT = tf33.argMax(boxesMaxT, 2); + const boxIdx = await boxIdxT.array(); + for (let i = 0; i < scoresT.shape[0]; i++) { + for (let j = 0; j < (((_b = scoresT.shape) == null ? void 0 : _b[1]) || 0); j++) { + const score = scores[i][j]; + if (score > (config3.object.minConfidence || 0) && j !== 61) { + const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; + const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; + const boxOffset = boxIdx[i].map((a) => a * (baseSize / strideSize / size2)); + const [x, y] = [ + cx - scaleBox / strideSize * boxOffset[0], + cy - scaleBox / strideSize * boxOffset[1] + ]; + const [w, h] = [ + cx + scaleBox / strideSize * boxOffset[2] - x, + cy + scaleBox / strideSize * boxOffset[3] - y + ]; + let boxRaw = [x, y, w, h]; + boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))); + const box = [ + // results normalized to input image pixels + boxRaw[0] * outputShape[0], + boxRaw[1] * outputShape[1], + boxRaw[2] * outputShape[0], + boxRaw[3] * outputShape[1] + ]; + const result = { + id: id++, + // strideSize, + score: Math.round(100 * score) / 100, + class: j + 1, + label: labels2[j].label, + // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)], + // centerRaw: [cx, cy], + box: box.map((a) => Math.trunc(a)), + boxRaw + }; + results.push(result); + } + } + } + tf33.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]); + } + const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); + const nmsScores = results.map((a) => a.score); + let nmsIdx = []; + if (nmsBoxes && nmsBoxes.length > 0) { + const nms = await tf33.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); + nmsIdx = Array.from(await nms.data()); + tf33.dispose(nms); + } + results = results.filter((_val, idx) => nmsIdx.includes(idx)).sort((a, b) => b.score - a.score); + return results; +} +async function predict18(image28, config3) { + if (!(model19 == null ? void 0 : model19["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime15; + const skipFrame = skipped15 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last10.length > 0) { + skipped15++; + return last10; + } + skipped15 = 0; + if (!env.kernels.includes("mod") || !env.kernels.includes("sparsetodense")) + return last10; + return new Promise(async (resolve) => { + const outputSize2 = [image28.shape[2] || 0, image28.shape[1] || 0]; + const resizeT = tf33.image.resizeBilinear(image28, [inputSize9, inputSize9], false); + const normT = tf33.div(resizeT, constants.tf255); + const transposeT = tf33.transpose(normT, [0, 3, 1, 2]); + let objectT; + if (config3.object.enabled) + objectT = model19.execute(transposeT); + lastTime15 = now(); + const obj = await process4(objectT, outputSize2, config3); + last10 = obj; + tf33.dispose([resizeT, normT, transposeT, ...objectT]); + resolve(obj); + }); +} + +// src/body/posenet.ts +var tf34 = __toESM(require_tfjs_esm()); + +// src/body/posenetutils.ts +var partNames = [ + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var count = partNames.length; +var partIds = partNames.reduce((result, jointName, i) => { + result[jointName] = i; + return result; +}, {}); +var connectedPartNames = [ + ["leftHip", "leftShoulder"], + ["leftElbow", "leftShoulder"], + ["leftElbow", "leftWrist"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["rightHip", "rightShoulder"], + ["rightElbow", "rightShoulder"], + ["rightElbow", "rightWrist"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"], + ["leftShoulder", "rightShoulder"], + ["leftHip", "rightHip"] +]; +var connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => [partIds[jointNameA], partIds[jointNameB]]); +var poseChain = [ + ["nose", "leftEye"], + ["leftEye", "leftEar"], + ["nose", "rightEye"], + ["rightEye", "rightEar"], + ["nose", "leftShoulder"], + ["leftShoulder", "leftElbow"], + ["leftElbow", "leftWrist"], + ["leftShoulder", "leftHip"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["nose", "rightShoulder"], + ["rightShoulder", "rightElbow"], + ["rightElbow", "rightWrist"], + ["rightShoulder", "rightHip"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"] +]; +function getBoundingBox(keypoints) { + const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({ + maxX: Math.max(maxX, x), + maxY: Math.max(maxY, y), + minX: Math.min(minX, x), + minY: Math.min(minY, y) + }), { + maxX: Number.NEGATIVE_INFINITY, + maxY: Number.NEGATIVE_INFINITY, + minX: Number.POSITIVE_INFINITY, + minY: Number.POSITIVE_INFINITY + }); + return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY]; +} +function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) { + const scaleY = height / inputResolutionHeight; + const scaleX = width / inputResolutionWidth; + const scalePose = (pose, i) => ({ + id: i, + score: pose.score, + boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight], + box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)], + keypoints: pose.keypoints.map(({ score, part, position }) => ({ + score, + part, + position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)], + positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] + })), + annotations: {} + }); + const scaledPoses = poses.map((pose, i) => scalePose(pose, i)); + return scaledPoses; +} +var MaxHeap = class { + // function call + constructor(maxSize2, getElementValue) { + __publicField(this, "priorityQueue"); + // don't touch + __publicField(this, "numberOfElements"); + __publicField(this, "getElementValue"); + this.priorityQueue = new Array(maxSize2); + this.numberOfElements = -1; + this.getElementValue = getElementValue; + } + enqueue(x) { + this.priorityQueue[++this.numberOfElements] = x; + this.swim(this.numberOfElements); + } + dequeue() { + const max5 = this.priorityQueue[0]; + this.exchange(0, this.numberOfElements--); + this.sink(0); + this.priorityQueue[this.numberOfElements + 1] = null; + return max5; + } + empty() { + return this.numberOfElements === -1; + } + size() { + return this.numberOfElements + 1; + } + all() { + return this.priorityQueue.slice(0, this.numberOfElements + 1); + } + max() { + return this.priorityQueue[0]; + } + swim(k) { + while (k > 0 && this.less(Math.floor(k / 2), k)) { + this.exchange(k, Math.floor(k / 2)); + k = Math.floor(k / 2); + } + } + sink(k) { + while (2 * k <= this.numberOfElements) { + let j = 2 * k; + if (j < this.numberOfElements && this.less(j, j + 1)) + j++; + if (!this.less(k, j)) + break; + this.exchange(k, j); + k = j; + } + } + getValueAt(i) { + return this.getElementValue(this.priorityQueue[i]); + } + less(i, j) { + return this.getValueAt(i) < this.getValueAt(j); + } + exchange(i, j) { + const t2 = this.priorityQueue[i]; + this.priorityQueue[i] = this.priorityQueue[j]; + this.priorityQueue[j] = t2; + } +}; +function getOffsetPoint(y, x, keypoint, offsets) { + return { + y: offsets.get(y, x, keypoint), + x: offsets.get(y, x, keypoint + count) + }; +} +function getImageCoords(part, outputStride2, offsets) { + const { heatmapY, heatmapX, id: keypoint } = part; + const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); + return { + x: part.heatmapX * outputStride2 + x, + y: part.heatmapY * outputStride2 + y + }; +} +function clamp(a, min2, max5) { + if (a < min2) + return min2; + if (a > max5) + return max5; + return a; +} +function squaredDistance(y1, x1, y2, x2) { + const dy = y2 - y1; + const dx = x2 - x1; + return dy * dy + dx * dx; +} +function addVectors(a, b) { + return { x: a.x + b.x, y: a.y + b.y }; +} + +// src/body/posenet.ts +var model20; +var poseNetOutputs = [ + "MobilenetV1/offset_2/BiasAdd", + "MobilenetV1/heatmap_2/BiasAdd", + "MobilenetV1/displacement_fwd_2/BiasAdd", + "MobilenetV1/displacement_bwd_2/BiasAdd" + /* displacementBwd */ +]; +var localMaximumRadius = 1; +var outputStride = 16; +var squaredNmsRadius = 50 ** 2; +function traverse(edgeId, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) { + const getDisplacement = (point2) => ({ + y: displacements.get(point2.y, point2.x, edgeId), + x: displacements.get(point2.y, point2.x, displacements.shape[2] / 2 + edgeId) + }); + const getStridedIndexNearPoint = (point2, height2, width2) => ({ + y: clamp(Math.round(point2.y / outputStride), 0, height2 - 1), + x: clamp(Math.round(point2.x / outputStride), 0, width2 - 1) + }); + const [height, width] = scores.shape; + const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width); + const displacement = getDisplacement(sourceKeypointIndices); + const displacedPoint = addVectors(sourceKeypoint.position, displacement); + let targetKeypoint = displacedPoint; + for (let i = 0; i < offsetRefineStep; i++) { + const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const offsetPoint = getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets); + targetKeypoint = addVectors( + { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride }, + { x: offsetPoint.x, y: offsetPoint.y } + ); + } + const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId); + return { position: targetKeypoint, part: partNames[targetId], score }; +} +function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) { + const tuples = poseChain.map(([parentJoinName, childJoinName]) => [partIds[parentJoinName], partIds[childJoinName]]); + const edgesFwd = tuples.map(([, childJointId]) => childJointId); + const edgesBwd = tuples.map(([parentJointId]) => parentJointId); + const numParts = scores.shape[2]; + const numEdges = edgesFwd.length; + const keypoints = new Array(numParts); + const rootPoint = getImageCoords(root.part, outputStride, offsets); + keypoints[root.part.id] = { + score: root.score, + part: partNames[root.part.id], + position: rootPoint + }; + for (let edge = numEdges - 1; edge >= 0; --edge) { + const sourceId = edgesFwd[edge]; + const targetId = edgesBwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd); + } + } + for (let edge = 0; edge < numEdges; ++edge) { + const sourceId = edgesBwd[edge]; + const targetId = edgesFwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd); + } + } + return keypoints; +} +function scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores) { + const [height, width] = scores.shape; + let localMaximum = true; + const yStart = Math.max(heatmapY - localMaximumRadius, 0); + const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height); + for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) { + const xStart = Math.max(heatmapX - localMaximumRadius, 0); + const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width); + for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) { + if (scores.get(yCurrent, xCurrent, keypointId) > score) { + localMaximum = false; + break; + } + } + if (!localMaximum) + break; + } + return localMaximum; +} +function buildPartWithScoreQueue(minConfidence2, scores) { + const [height, width, numKeypoints] = scores.shape; + const queue = new MaxHeap(height * width * numKeypoints, ({ score }) => score); + for (let heatmapY = 0; heatmapY < height; ++heatmapY) { + for (let heatmapX = 0; heatmapX < width; ++heatmapX) { + for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) { + const score = scores.get(heatmapY, heatmapX, keypointId); + if (score < minConfidence2) + continue; + if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) + queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } }); + } + } + } + return queue; +} +function withinRadius(poses, { x, y }, keypointId) { + return poses.some(({ keypoints }) => { + var _a; + const correspondingKeypoint = (_a = keypoints[keypointId]) == null ? void 0 : _a.position; + if (!correspondingKeypoint) + return false; + return squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; + }); +} +function getInstanceScore(existingPoses, keypoints) { + const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => { + if (!withinRadius(existingPoses, position, keypointId)) + result += score; + return result; + }, 0); + return notOverlappedKeypointScores / keypoints.length; +} +function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence2) { + const poses = []; + const queue = buildPartWithScoreQueue(minConfidence2, scores); + while (poses.length < maxDetected && !queue.empty()) { + const root = queue.dequeue(); + const rootImageCoords = getImageCoords(root.part, outputStride, offsets); + if (withinRadius(poses, rootImageCoords, root.part.id)) + continue; + let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd); + keypoints = keypoints.filter((a) => a.score > minConfidence2); + const score = getInstanceScore(poses, keypoints); + const box = getBoundingBox(keypoints); + if (score > minConfidence2) + poses.push({ keypoints, box, score: Math.round(100 * score) / 100 }); + } + return poses; +} +async function predict19(input, config3) { + if (!(model20 == null ? void 0 : model20["executor"])) + return []; + const res = tf34.tidy(() => { + if (!model20.inputs[0].shape) + return []; + const resized = tf34.image.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + const normalized = tf34.sub(tf34.div(tf34.cast(resized, "float32"), 127.5), 1); + const results = model20.execute(normalized, poseNetOutputs); + const results3d = results.map((y) => tf34.squeeze(y, [0])); + results3d[1] = tf34.sigmoid(results3d[1]); + return results3d; + }); + const buffers = await Promise.all(res.map((tensor6) => tensor6.buffer())); + for (const t2 of res) + tf34.dispose(t2); + const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config3.body.maxDetected, config3.body.minConfidence); + if (!model20.inputs[0].shape) + return []; + const scaled = scalePoses(decoded, [input.shape[1], input.shape[2]], [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + return scaled; +} +async function load19(config3) { + if (!model20 || env.initial) + model20 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model20["modelUrl"]); + return model20; +} + +// src/segmentation/rvm.ts +var tf35 = __toESM(require_tfjs_esm()); +var model21; +var outputNodes2 = ["fgr", "pha", "r1o", "r2o", "r3o", "r4o"]; +var t = {}; +var ratio = 0; +function init3(config3) { + tf35.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]); + t.r1i = tf35.tensor(0); + t.r2i = tf35.tensor(0); + t.r3i = tf35.tensor(0); + t.r4i = tf35.tensor(0); + ratio = config3.segmentation.ratio || 0.5; + t.downsample_ratio = tf35.tensor(ratio); +} +async function load20(config3) { + if (!model21 || env.initial) + model21 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model21["modelUrl"]); + init3(config3); + return model21; +} +var normalize = (r) => tf35.tidy(() => { + const squeeze14 = tf35.squeeze(r, [0]); + const mul15 = tf35.mul(squeeze14, constants.tf255); + const cast8 = tf35.cast(mul15, "int32"); + return cast8; +}); +function getRGBA(fgr, pha) { + const rgb3 = fgr ? normalize(fgr) : tf35.fill([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); + const a = pha ? normalize(pha) : tf35.fill([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); + const rgba = tf35.concat([rgb3, a], -1); + tf35.dispose([rgb3, a]); + return rgba; +} +function getState(state) { + return tf35.tidy(() => { + const r = {}; + r.unstack = tf35.unstack(state, -1); + r.concat = tf35.concat(r.unstack, 1); + r.split = tf35.split(r.concat, 4, 1); + r.stack = tf35.concat(r.split, 2); + r.squeeze = tf35.squeeze(r.stack, [0]); + r.expand = tf35.expandDims(r.squeeze, -1); + r.add = tf35.add(r.expand, 1); + r.mul = tf35.mul(r.add, 127.5); + r.cast = tf35.cast(r.mul, "int32"); + r.tile = tf35.tile(r.cast, [1, 1, 3]); + r.alpha = tf35.fill([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); + return tf35.concat([r.tile, r.alpha], -1); + }); +} +async function predict20(input, config3) { + if (!model21) + model21 = await load20(config3); + if (!(model21 == null ? void 0 : model21["executor"])) + return null; + t.src = tf35.div(input, 255); + if (ratio !== config3.segmentation.ratio) + init3(config3); + const [fgr, pha, r1o, r2o, r3o, r4o] = await model21.executeAsync(t, outputNodes2); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + rgba = getRGBA(fgr, pha); + break; + case "alpha": + rgba = getRGBA(null, pha); + break; + case "foreground": + rgba = getRGBA(fgr, null); + break; + case "state": + rgba = getState(r1o); + break; + default: + rgba = tf35.tensor(0); + } + tf35.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]); + [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; + return rgba; +} + +// src/segmentation/selfie.ts +var tf36 = __toESM(require_tfjs_esm()); +var model22; +async function load21(config3) { + if (!model22 || env.initial) + model22 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model22["modelUrl"]); + return model22; +} +async function predict21(input, config3) { + var _a; + if (!model22) + model22 = await load21(config3); + if (!(model22 == null ? void 0 : model22["executor"]) || !((_a = model22 == null ? void 0 : model22.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf36.image.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); + t2.norm = tf36.div(t2.resize, constants.tf255); + t2.res = model22.execute(t2.norm); + t2.squeeze = tf36.squeeze(t2.res, [0]); + t2.alpha = tf36.image.resizeBilinear(t2.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); + t2.mul = tf36.mul(t2.alpha, constants.tf255); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf36.squeeze(input); + t2.concat = tf36.concat([t2.input, t2.mul], -1); + rgba = tf36.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf36.cast(t2.mul, "int32"); + break; + default: + rgba = tf36.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf36.dispose(t2[tensor6])); + return rgba; +} + +// src/models.ts +function validateModel(instance, model23, name) { + var _a, _b; + if (!model23) + return null; + if (!((_a = instance == null ? void 0 : instance.config) == null ? void 0 : _a.validateModels)) + return null; + const simpleOps = ["const", "placeholder", "noop", "pad", "squeeze", "add", "sub", "mul", "div"]; + const ignoreOps = ["biasadd", "fusedbatchnormv3", "matmul", "switch", "shape", "merge", "split", "broadcastto"]; + const ops = []; + const missing = []; + const url = model23["modelUrl"]; + const executor = model23["executor"]; + if ((_b = executor == null ? void 0 : executor.graph) == null ? void 0 : _b.nodes) { + for (const kernel of Object.values(executor.graph.nodes)) { + const op = kernel.op.toLowerCase(); + if (!ops.includes(op)) + ops.push(op); + } + } else { + if (!executor && instance.config.debug) { + log("model not loaded", name); + } + } + for (const op of ops) { + if (!simpleOps.includes(op) && !ignoreOps.includes(op) && !instance.env.kernels.includes(op) && !instance.env.kernels.includes(op.replace("_", "")) && !instance.env.kernels.includes(op.replace("native", "")) && !instance.env.kernels.includes(op.replace("v2", ""))) { + missing.push(op); + } + } + if (instance.config.debug && missing.length > 0) + log("model validation failed:", name, missing); + return missing.length > 0 ? { name, missing, ops, url } : null; +} +var Models = class { + constructor(currentInstance) { + __publicField(this, "instance"); + __publicField(this, "models", {}); + this.models = {}; + this.instance = currentInstance; + } + stats() { + let totalSizeFromManifest = 0; + let totalSizeWeights = 0; + let totalSizeLoading = 0; + for (const m of Object.values(modelStats)) { + totalSizeFromManifest += m.sizeFromManifest; + totalSizeWeights += m.sizeLoadedWeights; + totalSizeLoading += m.sizeDesired; + } + const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0; + return { + numLoadedModels: Object.values(modelStats).length, + numDefinedModels: Object.keys(this.models).length, + percentageLoaded, + totalSizeFromManifest, + totalSizeWeights, + totalSizeLoading, + modelStats: Object.values(modelStats) + }; + } + reset() { + for (const model23 of Object.keys(this.models)) + this.models[model23] = null; + } + async load(instance) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z, _A; + if (env.initial) + this.reset(); + if (instance) + this.instance = instance; + const m = {}; + m.blazeface = this.instance.config.face.enabled && !this.models.blazeface ? load3(this.instance.config) : null; + m.antispoof = this.instance.config.face.enabled && ((_a = this.instance.config.face.antispoof) == null ? void 0 : _a.enabled) && !this.models.antispoof ? load8(this.instance.config) : null; + m.liveness = this.instance.config.face.enabled && ((_b = this.instance.config.face.liveness) == null ? void 0 : _b.enabled) && !this.models.liveness ? load9(this.instance.config) : null; + m.faceres = this.instance.config.face.enabled && ((_c = this.instance.config.face.description) == null ? void 0 : _c.enabled) && !this.models.faceres ? load7(this.instance.config) : null; + m.emotion = this.instance.config.face.enabled && ((_d = this.instance.config.face.emotion) == null ? void 0 : _d.enabled) && !this.models.emotion ? load6(this.instance.config) : null; + m.iris = this.instance.config.face.enabled && ((_e = this.instance.config.face.iris) == null ? void 0 : _e.enabled) && !((_f = this.instance.config.face.attention) == null ? void 0 : _f.enabled) && !this.models.iris ? load4(this.instance.config) : null; + m.facemesh = this.instance.config.face.enabled && ((_g = this.instance.config.face.mesh) == null ? void 0 : _g.enabled) && !this.models.facemesh ? load5(this.instance.config) : null; + m.gear = this.instance.config.face.enabled && ((_h = this.instance.config.face["gear"]) == null ? void 0 : _h.enabled) && !this.models.gear ? load10(this.instance.config) : null; + m.ssrnetage = this.instance.config.face.enabled && ((_i = this.instance.config.face["ssrnet"]) == null ? void 0 : _i.enabled) && !this.models.ssrnetage ? load11(this.instance.config) : null; + m.ssrnetgender = this.instance.config.face.enabled && ((_j = this.instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) && !this.models.ssrnetgender ? load12(this.instance.config) : null; + m.mobilefacenet = this.instance.config.face.enabled && ((_k = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; + m.insightface = this.instance.config.face.enabled && ((_l = this.instance.config.face["insightface"]) == null ? void 0 : _l.enabled) && !this.models.insightface ? load14(this.instance.config) : null; + m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m = this.instance.config.body.modelPath) == null ? void 0 : _m.includes("blazepose")) ? loadPose(this.instance.config) : null; + m.blazeposedetect = this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body["detector"] && this.instance.config.body["detector"].modelPath ? loadDetect(this.instance.config) : null; + m.efficientpose = this.instance.config.body.enabled && !this.models.efficientpose && ((_n = this.instance.config.body.modelPath) == null ? void 0 : _n.includes("efficientpose")) ? load2(this.instance.config) : null; + m.movenet = this.instance.config.body.enabled && !this.models.movenet && ((_o = this.instance.config.body.modelPath) == null ? void 0 : _o.includes("movenet")) ? load17(this.instance.config) : null; + m.posenet = this.instance.config.body.enabled && !this.models.posenet && ((_p = this.instance.config.body.modelPath) == null ? void 0 : _p.includes("posenet")) ? load19(this.instance.config) : null; + m.handtrack = this.instance.config.hand.enabled && !this.models.handtrack && ((_r = (_q = this.instance.config.hand.detector) == null ? void 0 : _q.modelPath) == null ? void 0 : _r.includes("handtrack")) ? loadDetect2(this.instance.config) : null; + m.handskeleton = this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && ((_t = (_s = this.instance.config.hand.detector) == null ? void 0 : _s.modelPath) == null ? void 0 : _t.includes("handtrack")) ? loadSkeleton(this.instance.config) : null; + if ((_v = (_u = this.instance.config.hand.detector) == null ? void 0 : _u.modelPath) == null ? void 0 : _v.includes("handdetect")) + [m.handpose, m.handskeleton] = !this.models.handpose ? await load15(this.instance.config) : [null, null]; + m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w = this.instance.config.object.modelPath) == null ? void 0 : _w.includes("centernet")) ? load(this.instance.config) : null; + m.nanodet = this.instance.config.object.enabled && !this.models.nanodet && ((_x = this.instance.config.object.modelPath) == null ? void 0 : _x.includes("nanodet")) ? load18(this.instance.config) : null; + m.selfie = this.instance.config.segmentation.enabled && !this.models.selfie && ((_y = this.instance.config.segmentation.modelPath) == null ? void 0 : _y.includes("selfie")) ? load21(this.instance.config) : null; + m.meet = this.instance.config.segmentation.enabled && !this.models.meet && ((_z = this.instance.config.segmentation.modelPath) == null ? void 0 : _z.includes("meet")) ? load16(this.instance.config) : null; + m.rvm = this.instance.config.segmentation.enabled && !this.models.rvm && ((_A = this.instance.config.segmentation.modelPath) == null ? void 0 : _A.includes("rvm")) ? load20(this.instance.config) : null; + for (const [model23, promise] of Object.entries(m)) { + if (promise == null ? void 0 : promise["then"]) + promise["then"]((val) => this.models[model23] = val); + } + await Promise.all(Object.values(m)); + } + list() { + const models3 = Object.keys(this.models).map((model23) => { + var _a; + return { name: model23, loaded: this.models[model23] !== null, size: 0, url: this.models[model23] ? (_a = this.models[model23]) == null ? void 0 : _a["modelUrl"] : null }; + }); + for (const m of models3) { + const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name)); + if (!stats) + continue; + m.size = modelStats[stats].sizeLoadedWeights; + m.url = modelStats[stats].url; + } + return models3; + } + loaded() { + const list = this.list(); + const loaded = list.filter((model23) => model23.loaded).map((model23) => model23.name); + return loaded; + } + validate() { + const missing = []; + for (const defined of Object.keys(this.models)) { + const model23 = this.models[defined]; + if (!model23) + continue; + const res = validateModel(this.instance, model23, defined); + if (res) + missing.push(res); + } + return missing; + } +}; + +// src/util/persons.ts +function join2(faces, bodies, hands, gestures, shape) { + var _a, _b, _c, _d, _e, _f; + let id = 0; + const persons = []; + for (const face4 of faces) { + const person2 = { id: id++, face: face4, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] }; + for (const body4 of bodies) { + if (face4.box[0] > body4.box[0] && face4.box[0] < body4.box[0] + body4.box[2] && face4.box[1] + face4.box[3] > body4.box[1] && face4.box[1] + face4.box[3] < body4.box[1] + body4.box[3]) { + person2.body = body4; + } + } + if (person2.body) { + for (const hand3 of hands) { + if (hand3.box[0] + hand3.box[2] > person2.body.box[0] && hand3.box[0] + hand3.box[2] < person2.body.box[0] + person2.body.box[2] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.left = hand3; + } + if (hand3.box[0] < person2.body.box[0] + person2.body.box[2] && hand3.box[0] > person2.body.box[0] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.right = hand3; + } + } + } + for (const gesture2 of gestures) { + if (gesture2["face"] !== void 0 && gesture2["face"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["iris"] !== void 0 && gesture2["iris"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["body"] !== void 0 && gesture2["body"] === ((_a = person2.body) == null ? void 0 : _a.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b = person2.hands.left) == null ? void 0 : _b.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_c = person2.hands.right) == null ? void 0 : _c.id)) + person2.gestures.push(gesture2); + } + const x = []; + const y = []; + const extractXY = (box) => { + if (box && box.length === 4) { + x.push(box[0], box[0] + box[2]); + y.push(box[1], box[1] + box[3]); + } + }; + extractXY(person2.face.box); + extractXY((_d = person2.body) == null ? void 0 : _d.box); + extractXY((_e = person2.hands.left) == null ? void 0 : _e.box); + extractXY((_f = person2.hands.right) == null ? void 0 : _f.box); + const minX = Math.min(...x); + const minY = Math.min(...y); + person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; + if ((shape == null ? void 0 : shape[1]) && (shape == null ? void 0 : shape[2])) + person2.boxRaw = [person2.box[0] / shape[2], person2.box[1] / shape[1], person2.box[2] / shape[2], person2.box[3] / shape[1]]; + persons.push(person2); + } + return persons; +} + +// src/warmup.ts +var tf37 = __toESM(require_tfjs_esm()); + +// src/sample.ts +var face3 = ` /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob @@ -269,7 +14473,8 @@ PQ4GJ+ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1 8z5mOAOST2pDK91cNN+5tsrH3PrW54a06KxT7fdrlh/q1Pc+tJ6IUdZGvHPLezMcnBOWbsPap5r3 ylFtbdT1xUWNWzU0/Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY -euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,Zt=` +euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`; +var body3 = ` /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAsICAoIBwsKCQoNDAsNERwSEQ8PESIZGhQcKSQrKigk JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX/2wBDAQwNDREPESESEiFFLicuRUVFRUVF RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX/wAARCASwBLADASIA @@ -837,4 +15042,685 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;async function xa(e){let t=(r,s="application/octet-stream")=>fetch(`data:${s};base64,${r}`).then(A=>A.blob()),n,o;switch(e.config.warmup){case"face":n=await t(Vt);break;case"body":case"full":n=await t(Zt);break;default:n=null}if(n){let r=await createImageBitmap(n);o=await e.detect(r,e.config),r.close()}return o}async function ya(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+Vt;break;case"full":case"body":n="data:image/jpeg;base64,"+Zt;break;default:n=""}let o;if(typeof Image!="undefined")o=new Image;else if(R.Image)o=new R.Image;else{t(void 0);return}o.onload=async()=>{let r=Ae(o.naturalWidth,o.naturalHeight);if(!r)h("Warmup: Canvas not found"),t(void 0);else{let s=r.getContext("2d");s&&s.drawImage(o,0,0);let A=await e.image(r,!0),a=A.tensor?await e.detect(A.tensor,e.config):void 0;t(a)}},n?o.src=n:t(void 0)})}async function fa(e){let t=r=>Buffer.from(r,"base64"),n;e.config.warmup==="face"?n=t(Vt):n=t(Zt);let o;if("node"in d0&&d0.getBackend()==="tensorflow"){let r=d0.node.decodeJpeg(n),s=d0.expandDims(r,0);e.tf.dispose(r),o=await e.detect(s,e.config),e.tf.dispose(s)}else e.config.debug&&h("Warmup tfjs-node not loaded");return o}async function ma(e){let t;return typeof createImageBitmap=="function"?t=await xa(e):typeof Image!="undefined"||R.Canvas!==void 0?t=await ya(e):t=await fa(e),t}async function pa(e){var a,l,c,x;if(!d0.env().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=d0.getBackend(),n=d0.backend();if(t!=="webgl"&&t!=="humangl"||!(n!=null&&n.checkCompileCompletion))return;d0.env().set("ENGINE_COMPILE_ONLY",!0);let o=d0.engine().state.numTensors,r=[];for(let[i,f]of Object.entries(e.models.models)){if(!f)continue;let d=f!=null&&f.modelSignature&&((l=(a=f==null?void 0:f.inputs)==null?void 0:a[0])!=null&&l.shape)?[...f.inputs[0].shape]:[1,64,64,3],m=f!=null&&f.modelSignature&&((x=(c=f==null?void 0:f.inputs)==null?void 0:c[0])!=null&&x.dtype)?f.inputs[0].dtype:"float32";for(let u=0;ud0.dispose(T)):d0.dispose(u)}catch(u){e.config.debug&&h("compile fail model:",i)}d0.dispose(y)}let s=await n.checkCompileCompletionAsync();n.getUniformLocations(),e.config.debug&&h("compile pass:",{models:r,kernels:s.length}),d0.env().set("ENGINE_COMPILE_ONLY",!1);let A=d0.engine().state.numTensors;A-o>0&&h("tensor leak:",A-o)}async function Co(e,t){await I2(e,!1);let n=v();return e.state="warmup",t&&(e.config=a0(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?Te():new Promise(async o=>{await e.models.load(),await pa(e);let r=await ma(e),s=v();e.config.debug&&h("warmup",e.config.warmup,Math.round(s-n),"ms"),e.emit("warmup"),o(r)})}var P2,G2,V2,Xt,Ye,k1=class{constructor(t){w(this,"version");w(this,"config");w(this,"result");w(this,"state");w(this,"process");w(this,"tf");w(this,"env",R);w(this,"draw",nt);w(this,"match",Ot);w(this,"models");w(this,"events");w(this,"faceTriangulation");w(this,"faceUVMap");w(this,"performance");ue(this,P2,void 0);ue(this,G2,void 0);ue(this,V2,void 0);w(this,"analyze",(...t)=>{if(!Y0(this,G2))return;let n=this.tf.engine().state.numTensors,o=Y0(this,P2);Re(this,P2,n);let r=n-o;r!==0&&h(...t,r)});ue(this,Xt,t=>{if(!Y0(this,V2))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof de.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});w(this,"webcam",new K2);w(this,"emit",t=>{var n;(n=this.events)!=null&&n.dispatchEvent&&this.events.dispatchEvent(new Event(t))});ue(this,Ye,{});let n=(de.version.tfjs||de.version_core).replace(/-(.*)/,"");Ke.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${n}/dist/`,Ke.modelBasePath=R.browser?"../models/":"file://models/",this.version=t5,Object.defineProperty(this,"version",{value:t5}),this.config=JSON.parse(JSON.stringify(Ke)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=a0(this.config,t)),Z1(this.config),this.tf=de,this.state="idle",Re(this,P2,0),Re(this,G2,!1),Re(this,V2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new H2(this),i5(),this.result=Te(),this.process={tensor:null,canvas:null},this.faceTriangulation=W3,this.faceUVMap=D3,Gt(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&h(`version: ${this.version}`),this.config.debug&&h(`tfjs version: ${this.tf.version["tfjs-core"]}`);let o=JSON.parse(JSON.stringify(this.env));delete o.kernels,delete o.initial,delete o.perfadd,this.config.debug&&h("environment:",o)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(Ke)),this.config.backend=t,$t(),R.initial=!0}validate(t){let n=Jt(Ke,t||this.config);return n.length===0&&(this.config=a0(this.config,t)),n}now(){return v()}image(t,n=!1){return U2(t,this.config,n)}async segmentation(t,n){var s,A,a;if(n&&(this.config=a0(this.config,n)),!this.config.segmentation.enabled)return null;let o=await U2(t,this.config);if(!o.tensor)return null;let r=null;return(s=this.config.segmentation.modelPath)!=null&&s.includes("rvm")&&(r=await jo(o.tensor,this.config)),(A=this.config.segmentation.modelPath)!=null&&A.includes("meet")&&(r=await io(o.tensor,this.config)),(a=this.config.segmentation.modelPath)!=null&&a.includes("selfie")&&(r=await No(o.tensor,this.config)),de.dispose(o.tensor),r}compare(t,n){return V1(this.config,t,n)}async init(){await I2(this,!0),await this.tf.ready(),$t()}async load(t){this.state="load";let n=v(),o=Object.values(this.models.models).filter(A=>A).length;t&&(this.config=a0(this.config,t)),this.env.initial&&(await I2(this,!1)||h("error: backend check failed"),await de.ready(),this.env.browser&&(this.config.debug&&h("configuration:",this.config),this.config.debug&&h("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&h("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(A=>A).length!==o&&(this.models.validate(),this.emit("load"));let s=Math.trunc(v()-n);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return ao(t,this.config)}async warmup(t){let n=v(),o=await Co(this,t),r=v();return this.performance.warmup=Math.trunc(r-n),o}async profile(t,n){let o=await this.tf.profile(()=>this.detect(t,n)),r={},s=0;for(let a of o.kernels){let l=Number(a.kernelTimeMs)||0;r[a.name]?r[a.name]+=l:r[a.name]=l,s+=l}let A=[];Object.entries(r).forEach(a=>A.push({kernel:a[0],time:a[1],perc:0}));for(let a of A)a.perc=Math.round(1e3*a.time/s)/1e3,a.time=Math.round(1e3*a.time)/1e3;return A.sort((a,l)=>l.time-a.time),A.length=20,A}async detect(t,n){return this.state="detect",new Promise(async o=>{var u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;this.state="config";let r;this.config=a0(this.config,n),this.state="check";let s=Y0(this,Xt).call(this,t);s&&(h(s,t),this.emit("error"),o(Te(s)));let A=v();await this.load(),r=v(),this.state="image";let a=await U2(t,this.config);if(this.process=a,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Get Image:"),!a.tensor){this.config.debug&&h("could not convert input to tensor"),this.emit("error"),o(Te("could not convert input to tensor"));return}this.emit("image"),r=v(),this.config.skipAllowed=await G1(this.config,a.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Check Changed:");let l=[],c=[],x=[],i=[];this.state="detect:face",this.config.async?(l=this.config.face.enabled?J5(this,a.tensor):[],this.performance.face&&delete this.performance.face):(r=v(),l=this.config.face.enabled?await J5(this,a.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(l=await l),this.analyze("Start Body:"),this.state="detect:body";let f=this.config.body.maxDetected===-1?a0(this.config,{body:{maxDetected:this.config.face.enabled?1*l.length:1}}):this.config;this.config.async?((u=this.config.body.modelPath)!=null&&u.includes("posenet")?c=this.config.body.enabled?g1(a.tensor,f):[]:(T=this.config.body.modelPath)!=null&&T.includes("blazepose")?c=this.config.body.enabled?y5(a.tensor,f):[]:(g=this.config.body.modelPath)!=null&&g.includes("efficientpose")?c=this.config.body.enabled?g5(a.tensor,f):[]:(p=this.config.body.modelPath)!=null&&p.includes("movenet")&&(c=this.config.body.enabled?y1(a.tensor,f):[]),this.performance.body&&delete this.performance.body):(r=v(),(b=this.config.body.modelPath)!=null&&b.includes("posenet")?c=this.config.body.enabled?await g1(a.tensor,f):[]:(k=this.config.body.modelPath)!=null&&k.includes("blazepose")?c=this.config.body.enabled?await y5(a.tensor,f):[]:(P=this.config.body.modelPath)!=null&&P.includes("efficientpose")?c=this.config.body.enabled?await g5(a.tensor,f):[]:(N=this.config.body.modelPath)!=null&&N.includes("movenet")&&(c=this.config.body.enabled?await y1(a.tensor,f):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let d=this.config.hand.maxDetected===-1?a0(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?((_=(V=this.config.hand.detector)==null?void 0:V.modelPath)!=null&&_.includes("handdetect")?x=this.config.hand.enabled?t1(a.tensor,d):[]:($=(Z=this.config.hand.detector)==null?void 0:Z.modelPath)!=null&&$.includes("handtrack")&&(x=this.config.hand.enabled?r1(a.tensor,d):[]),this.performance.hand&&delete this.performance.hand):(r=v(),(n0=(A0=this.config.hand.detector)==null?void 0:A0.modelPath)!=null&&n0.includes("handdetect")?x=this.config.hand.enabled?await t1(a.tensor,d):[]:(j0=(t0=this.config.hand.detector)==null?void 0:t0.modelPath)!=null&&j0.includes("handtrack")&&(x=this.config.hand.enabled?await r1(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((M=this.config.object.modelPath)!=null&&M.includes("nanodet")?i=this.config.object.enabled?m1(a.tensor,this.config):[]:(T0=this.config.object.modelPath)!=null&&T0.includes("centernet")&&(i=this.config.object.enabled?p5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=v(),(C0=this.config.object.modelPath)!=null&&C0.includes("nanodet")?i=this.config.object.enabled?await m1(a.tensor,this.config):[]:(x0=this.config.object.modelPath)!=null&&x0.includes("centernet")&&(i=this.config.object.enabled?await p5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let m=[];this.config.gesture.enabled&&(r=v(),m=[...Cn(l),...On(c),...Dn(x),...Wn(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(v()-A):Math.trunc(v()-A);let y=((K=this.process.tensor)==null?void 0:K.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:m,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:y[2],height:y[1],get persons(){return Oo(l,c,x,m,y)}},de.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(Y0(this,Ye)[t.id]||(this.config.debug&&h("video start",t.id),Y0(this,Ye)[t.id]=!0),!t.paused&&Y0(this,Ye)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),Y0(this,Ye)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&h("video stop",t.id),Y0(this,Ye)[t.id]=!1)}};P2=new WeakMap,G2=new WeakMap,V2=new WeakMap,Xt=new WeakMap,Ye=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models}); +2Q==`; + +// src/warmup.ts +async function warmupBitmap(instance) { + const b64toBlob = (base64, type = "application/octet-stream") => fetch(`data:${type};base64,${base64}`).then((res2) => res2.blob()); + let blob; + let res; + switch (instance.config.warmup) { + case "face": + blob = await b64toBlob(face3); + break; + case "body": + case "full": + blob = await b64toBlob(body3); + break; + default: + blob = null; + } + if (blob) { + const bitmap = await createImageBitmap(blob); + res = await instance.detect(bitmap, instance.config); + bitmap.close(); + } + return res; +} +async function warmupCanvas(instance) { + return new Promise((resolve) => { + let src; + switch (instance.config.warmup) { + case "face": + src = "data:image/jpeg;base64," + face3; + break; + case "full": + case "body": + src = "data:image/jpeg;base64," + body3; + break; + default: + src = ""; + } + let img; + if (typeof Image !== "undefined") + img = new Image(); + else if (env.Image) + img = new env.Image(); + else { + resolve(void 0); + return; + } + img.onload = async () => { + const canvas3 = canvas(img.naturalWidth, img.naturalHeight); + if (!canvas3) { + log("Warmup: Canvas not found"); + resolve(void 0); + } else { + const ctx = canvas3.getContext("2d"); + if (ctx) + ctx.drawImage(img, 0, 0); + const tensor6 = await instance.image(canvas3, true); + const res = tensor6.tensor ? await instance.detect(tensor6.tensor, instance.config) : void 0; + resolve(res); + } + }; + if (src) + img.src = src; + else + resolve(void 0); + }); +} +async function warmupNode(instance) { + const atob = (str) => Buffer.from(str, "base64"); + let img; + if (instance.config.warmup === "face") + img = atob(face3); + else + img = atob(body3); + let res; + if ("node" in tf37 && tf37.getBackend() === "tensorflow") { + const data = tf37["node"].decodeJpeg(img); + const expanded = tf37.expandDims(data, 0); + instance.tf.dispose(data); + res = await instance.detect(expanded, instance.config); + instance.tf.dispose(expanded); + } else { + if (instance.config.debug) + log("Warmup tfjs-node not loaded"); + } + return res; +} +async function runInference(instance) { + let res; + if (typeof createImageBitmap === "function") + res = await warmupBitmap(instance); + else if (typeof Image !== "undefined" || env.Canvas !== void 0) + res = await warmupCanvas(instance); + else + res = await warmupNode(instance); + return res; +} +async function runCompile(instance) { + var _a, _b, _c, _d; + if (!tf37.env().flagRegistry.ENGINE_COMPILE_ONLY) + return; + const backendType = tf37.getBackend(); + const webGLBackend = tf37.backend(); + if (backendType !== "webgl" && backendType !== "humangl" || !(webGLBackend == null ? void 0 : webGLBackend["checkCompileCompletion"])) { + return; + } + tf37.env().set("ENGINE_COMPILE_ONLY", true); + const numTensorsStart = tf37.engine().state.numTensors; + const compiledModels = []; + for (const [modelName, model23] of Object.entries(instance.models.models)) { + if (!model23) + continue; + const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b = (_a = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a[0]) == null ? void 0 : _b.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; + const dtype = (model23 == null ? void 0 : model23.modelSignature) && ((_d = (_c = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _c[0]) == null ? void 0 : _d.dtype) ? model23.inputs[0].dtype : "float32"; + for (let dim = 0; dim < shape.length; dim++) { + if (shape[dim] === -1) + shape[dim] = dim === 0 ? 1 : 64; + } + const tensor6 = tf37.zeros(shape, dtype); + try { + const res = model23.execute(tensor6); + compiledModels.push(modelName); + if (Array.isArray(res)) + res.forEach((t2) => tf37.dispose(t2)); + else + tf37.dispose(res); + } catch (e) { + if (instance.config.debug) + log("compile fail model:", modelName); + } + tf37.dispose(tensor6); + } + const kernels = await webGLBackend["checkCompileCompletionAsync"](); + webGLBackend["getUniformLocations"](); + if (instance.config.debug) + log("compile pass:", { models: compiledModels, kernels: kernels.length }); + tf37.env().set("ENGINE_COMPILE_ONLY", false); + const numTensorsEnd = tf37.engine().state.numTensors; + if (numTensorsEnd - numTensorsStart > 0) + log("tensor leak:", numTensorsEnd - numTensorsStart); +} +async function warmup(instance, userConfig) { + await check(instance, false); + const t0 = now(); + instance.state = "warmup"; + if (userConfig) + instance.config = mergeDeep(instance.config, userConfig); + if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === "none") { + return empty(); + } + return new Promise(async (resolve) => { + await instance.models.load(); + await runCompile(instance); + const res = await runInference(instance); + const t1 = now(); + if (instance.config.debug) + log("warmup", instance.config.warmup, Math.round(t1 - t0), "ms"); + instance.emit("warmup"); + resolve(res); + }); +} + +// src/human.ts +var _numTensors, _analyzeMemoryLeaks, _checkSanity, _sanity, _loops; +var Human = class { + // definition end + /** Constructor for **Human** library that is futher used for all operations + * @param userConfig - user configuration object {@link Config} + */ + constructor(userConfig) { + /** Current version of Human library in *semver* format */ + __publicField(this, "version"); + /** Current configuration + * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) + */ + __publicField(this, "config"); + /** Last known result of detect run + * - Can be accessed anytime after initial detection + */ + __publicField(this, "result"); + /** Current state of Human library + * - Can be polled to determine operations that are currently executed + * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle' + */ + __publicField(this, "state"); + /** currenty processed image tensor and canvas */ + __publicField(this, "process"); + /** Instance of TensorFlow/JS used by Human + * - Can be embedded or externally provided + * [TFJS API](https://js.tensorflow.org/api/latest/) + */ + __publicField(this, "tf"); + /** Object containing environment information used for diagnostics */ + __publicField(this, "env", env); + /** Draw helper classes that can draw detected objects on canvas using specified draw + * - canvas: draws input to canvas + * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions} + * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas + */ + // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions }; + __publicField(this, "draw", draw_exports); + /** Face Matching + * - similarity: compare two face descriptors and return similarity index + * - distance: compare two face descriptors and return raw calculated differences + * - find: compare face descriptor to array of face descriptors and return best match + */ + __publicField(this, "match", match_exports); + /** Currently loaded models + * @internal + * {@link models#Models} + */ + __publicField(this, "models"); + /** Container for events dispatched by Human + * Possible events: + * - `create`: triggered when Human object is instantiated + * - `load`: triggered when models are loaded (explicitly or on-demand) + * - `image`: triggered when input image is processed + * - `result`: triggered when detection is complete + * - `warmup`: triggered when warmup is complete + * - `error`: triggered on some errors + */ + __publicField(this, "events"); + /** Reference face triangualtion array of 468 points, used for triangle references between points */ + __publicField(this, "faceTriangulation"); + /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */ + __publicField(this, "faceUVMap"); + /** Performance object that contains values for all recently performed operations */ + __publicField(this, "performance"); + // perf members are dynamically defined as needed + __privateAdd(this, _numTensors, void 0); + __privateAdd(this, _analyzeMemoryLeaks, void 0); + __privateAdd(this, _checkSanity, void 0); + /** internal function to measure tensor leaks */ + __publicField(this, "analyze", (...msg) => { + if (!__privateGet(this, _analyzeMemoryLeaks)) + return; + const currentTensors = this.tf.engine().state.numTensors; + const previousTensors = __privateGet(this, _numTensors); + __privateSet(this, _numTensors, currentTensors); + const leaked = currentTensors - previousTensors; + if (leaked !== 0) + log(...msg, leaked); + }); + /** internal function for quick sanity check on inputs @hidden */ + __privateAdd(this, _sanity, (input) => { + if (!__privateGet(this, _checkSanity)) + return null; + if (!input) + return "input is not defined"; + if (this.env.node && !(input instanceof tf38.Tensor)) + return "input must be a tensor"; + try { + this.tf.getBackend(); + } catch (e) { + return "backend not loaded"; + } + return null; + }); + /** WebCam helper methods + * + */ + __publicField(this, "webcam", new WebCam()); + /** emit event */ + __publicField(this, "emit", (event) => { + var _a; + if ((_a = this.events) == null ? void 0 : _a.dispatchEvent) + this.events.dispatchEvent(new Event(event)); + }); + /** internal structure that keeps track of processed videos @hidden */ + __privateAdd(this, _loops, {}); + const tfVersion = (tf38.version.tfjs || tf38.version_core).replace(/-(.*)/, ""); + config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`; + config.modelBasePath = env.browser ? "../models/" : "file://models/"; + this.version = version2; + Object.defineProperty(this, "version", { value: version2 }); + this.config = JSON.parse(JSON.stringify(config)); + Object.seal(this.config); + this.config.cacheModels = typeof indexedDB !== "undefined"; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + setModelLoadOptions(this.config); + this.tf = tf38; + this.state = "idle"; + __privateSet(this, _numTensors, 0); + __privateSet(this, _analyzeMemoryLeaks, false); + __privateSet(this, _checkSanity, false); + this.performance = {}; + this.events = typeof EventTarget !== "undefined" ? new EventTarget() : void 0; + this.models = new Models(this); + init2(); + this.result = empty(); + this.process = { tensor: null, canvas: null }; + this.faceTriangulation = triangulation; + this.faceUVMap = uvmap; + validateModel(this, null, ""); + this.emit("create"); + if (this.config.debug || this.env.browser) + log(`version: ${this.version}`); + if (this.config.debug) + log(`tfjs version: ${this.tf.version["tfjs-core"]}`); + const envTemp = JSON.parse(JSON.stringify(this.env)); + delete envTemp.kernels; + delete envTemp.initial; + delete envTemp.perfadd; + if (this.config.debug) + log("environment:", envTemp); + } + /** Reset configuration to default values */ + reset() { + const currentBackend = this.config.backend; + this.config = JSON.parse(JSON.stringify(config)); + this.config.backend = currentBackend; + reset(); + env.initial = true; + } + /** Validate current configuration schema */ + validate(userConfig) { + const msgs = validate(config, userConfig || this.config); + if (msgs.length === 0) + this.config = mergeDeep(this.config, userConfig); + return msgs; + } + /** Utility wrapper for performance.now() */ + now() { + return now(); + } + /** Process input as return canvas and tensor + * + * @param input - any input {@link Input} + * @param getTensor - should image processing also return tensor or just canvas + * Returns object with `tensor` and `canvas` + */ + image(input, getTensor = false) { + return process2(input, this.config, getTensor); + } + /** Segmentation method takes any input and returns RGBA tensor + * Note: Segmentation is not triggered as part of detect process + * + * @param input - {@link Input} + * Returns tensor which contains image data in RGBA format + */ + async segmentation(input, userConfig) { + var _a, _b, _c; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (!this.config.segmentation.enabled) + return null; + const processed = await process2(input, this.config); + if (!processed.tensor) + return null; + let tensor6 = null; + if ((_a = this.config.segmentation.modelPath) == null ? void 0 : _a.includes("rvm")) + tensor6 = await predict20(processed.tensor, this.config); + if ((_b = this.config.segmentation.modelPath) == null ? void 0 : _b.includes("meet")) + tensor6 = await predict16(processed.tensor, this.config); + if ((_c = this.config.segmentation.modelPath) == null ? void 0 : _c.includes("selfie")) + tensor6 = await predict21(processed.tensor, this.config); + tf38.dispose(processed.tensor); + return tensor6; + } + /** Compare two input tensors for pixel similarity + * - use `human.image` to process any valid input and get a tensor that can be used for compare + * - when passing manually generated tensors: + * - both input tensors must be in format [1, height, width, 3] + * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor + * - return value is pixel similarity score normalized by input resolution and rgb channels + */ + compare(firstImageTensor, secondImageTensor) { + return compare(this.config, firstImageTensor, secondImageTensor); + } + /** Explicit backend initialization + * - Normally done implicitly during initial load phase + * - Call to explictly register and initialize TFJS backend without any other operations + * - Use when changing backend during runtime + */ + async init() { + await check(this, true); + await this.tf.ready(); + reset(); + } + /** Load method preloads all configured models on-demand + * - Not explicitly required as any required model is load implicitly on it's first run + * + * @param userConfig - {@link Config} + */ + async load(userConfig) { + this.state = "load"; + const timeStamp = now(); + const count2 = Object.values(this.models.models).filter((model23) => model23).length; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (this.env.initial) { + if (!await check(this, false)) + log("error: backend check failed"); + await tf38.ready(); + if (this.env.browser) { + if (this.config.debug) + log("configuration:", this.config); + if (this.config.debug) + log("tf flags:", this.tf.ENV.flags); + } + } + await this.models.load(this); + if (this.env.initial && this.config.debug) + log("tf engine state:", this.tf.engine().state.numBytes, "bytes", this.tf.engine().state.numTensors, "tensors"); + this.env.initial = false; + const loaded = Object.values(this.models.models).filter((model23) => model23).length; + if (loaded !== count2) { + this.models.validate(); + this.emit("load"); + } + const current = Math.trunc(now() - timeStamp); + if (current > (this.performance.loadModels || 0)) + this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current; + } + /** Runs interpolation using last known result and returns smoothened result + * Interpolation is based on time since last known result so can be called independently + * + * @param result - {@link Result} optional use specific result set to run interpolation on + * @returns result - {@link Result} + */ + next(result = this.result) { + return calc2(result, this.config); + } + /** Warmup method pre-initializes all configured models for faster inference + * - can take significant time on startup + * - only used for `webgl` and `humangl` backends + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async warmup(userConfig) { + const t0 = now(); + const res = await warmup(this, userConfig); + const t1 = now(); + this.performance.warmup = Math.trunc(t1 - t0); + return res; + } + /** Run detect with tensorflow profiling + * - result object will contain total exeuction time information for top-20 kernels + * - actual detection object can be accessed via `human.result` + */ + async profile(input, userConfig) { + const profile = await this.tf.profile(() => this.detect(input, userConfig)); + const kernels = {}; + let total = 0; + for (const kernel of profile.kernels) { + const ms = Number(kernel.kernelTimeMs) || 0; + if (kernels[kernel.name]) + kernels[kernel.name] += ms; + else + kernels[kernel.name] = ms; + total += ms; + } + const kernelArr = []; + Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1], perc: 0 })); + for (const kernel of kernelArr) { + kernel.perc = Math.round(1e3 * kernel.time / total) / 1e3; + kernel.time = Math.round(1e3 * kernel.time) / 1e3; + } + kernelArr.sort((a, b) => b.time - a.time); + kernelArr.length = 20; + return kernelArr; + } + /** Main detection method + * - Analyze configuration: {@link Config} + * - Pre-process input: {@link Input} + * - Run inference for all configured models + * - Process and return result: {@link Result} + * + * @param input - {@link Input} + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async detect(input, userConfig) { + this.state = "detect"; + return new Promise(async (resolve) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u; + this.state = "config"; + let timeStamp; + this.config = mergeDeep(this.config, userConfig); + this.state = "check"; + const error = __privateGet(this, _sanity).call(this, input); + if (error) { + log(error, input); + this.emit("error"); + resolve(empty(error)); + } + const timeStart = now(); + await this.load(); + timeStamp = now(); + this.state = "image"; + const img = await process2(input, this.config); + this.process = img; + this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Get Image:"); + if (!img.tensor) { + if (this.config.debug) + log("could not convert input to tensor"); + this.emit("error"); + resolve(empty("could not convert input to tensor")); + return; + } + this.emit("image"); + timeStamp = now(); + this.config.skipAllowed = await skip(this.config, img.tensor); + this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; + if (!this.performance.totalFrames) + this.performance.totalFrames = 0; + if (!this.performance.cachedFrames) + this.performance.cachedFrames = 0; + this.performance.totalFrames++; + if (this.config.skipAllowed) + this.performance.cachedFrames++; + this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Check Changed:"); + let faceRes = []; + let bodyRes = []; + let handRes = []; + let objectRes = []; + this.state = "detect:face"; + if (this.config.async) { + faceRes = this.config.face.enabled ? detectFace(this, img.tensor) : []; + if (this.performance.face) + delete this.performance.face; + } else { + timeStamp = now(); + faceRes = this.config.face.enabled ? await detectFace(this, img.tensor) : []; + this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) + faceRes = await faceRes; + this.analyze("Start Body:"); + this.state = "detect:body"; + const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_a = this.config.body.modelPath) == null ? void 0 : _a.includes("posenet")) + bodyRes = this.config.body.enabled ? predict19(img.tensor, bodyConfig) : []; + else if ((_b = this.config.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + bodyRes = this.config.body.enabled ? predict(img.tensor, bodyConfig) : []; + else if ((_c = this.config.body.modelPath) == null ? void 0 : _c.includes("efficientpose")) + bodyRes = this.config.body.enabled ? predict3(img.tensor, bodyConfig) : []; + else if ((_d = this.config.body.modelPath) == null ? void 0 : _d.includes("movenet")) + bodyRes = this.config.body.enabled ? predict17(img.tensor, bodyConfig) : []; + if (this.performance.body) + delete this.performance.body; + } else { + timeStamp = now(); + if ((_e = this.config.body.modelPath) == null ? void 0 : _e.includes("posenet")) + bodyRes = this.config.body.enabled ? await predict19(img.tensor, bodyConfig) : []; + else if ((_f = this.config.body.modelPath) == null ? void 0 : _f.includes("blazepose")) + bodyRes = this.config.body.enabled ? await predict(img.tensor, bodyConfig) : []; + else if ((_g = this.config.body.modelPath) == null ? void 0 : _g.includes("efficientpose")) + bodyRes = this.config.body.enabled ? await predict3(img.tensor, bodyConfig) : []; + else if ((_h = this.config.body.modelPath) == null ? void 0 : _h.includes("movenet")) + bodyRes = this.config.body.enabled ? await predict17(img.tensor, bodyConfig) : []; + this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Body:"); + this.analyze("Start Hand:"); + this.state = "detect:hand"; + const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_j = (_i = this.config.hand.detector) == null ? void 0 : _i.modelPath) == null ? void 0 : _j.includes("handdetect")) + handRes = this.config.hand.enabled ? predict14(img.tensor, handConfig) : []; + else if ((_l = (_k = this.config.hand.detector) == null ? void 0 : _k.modelPath) == null ? void 0 : _l.includes("handtrack")) + handRes = this.config.hand.enabled ? predict15(img.tensor, handConfig) : []; + if (this.performance.hand) + delete this.performance.hand; + } else { + timeStamp = now(); + if ((_n = (_m = this.config.hand.detector) == null ? void 0 : _m.modelPath) == null ? void 0 : _n.includes("handdetect")) + handRes = this.config.hand.enabled ? await predict14(img.tensor, handConfig) : []; + else if ((_p = (_o = this.config.hand.detector) == null ? void 0 : _o.modelPath) == null ? void 0 : _p.includes("handtrack")) + handRes = this.config.hand.enabled ? await predict15(img.tensor, handConfig) : []; + this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Hand:"); + this.analyze("Start Object:"); + this.state = "detect:object"; + if (this.config.async) { + if ((_q = this.config.object.modelPath) == null ? void 0 : _q.includes("nanodet")) + objectRes = this.config.object.enabled ? predict18(img.tensor, this.config) : []; + else if ((_r = this.config.object.modelPath) == null ? void 0 : _r.includes("centernet")) + objectRes = this.config.object.enabled ? predict2(img.tensor, this.config) : []; + if (this.performance.object) + delete this.performance.object; + } else { + timeStamp = now(); + if ((_s = this.config.object.modelPath) == null ? void 0 : _s.includes("nanodet")) + objectRes = this.config.object.enabled ? await predict18(img.tensor, this.config) : []; + else if ((_t = this.config.object.modelPath) == null ? void 0 : _t.includes("centernet")) + objectRes = this.config.object.enabled ? await predict2(img.tensor, this.config) : []; + this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Object:"); + this.state = "detect:await"; + if (this.config.async) + [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]); + this.state = "detect:gesture"; + let gestureRes = []; + if (this.config.gesture.enabled) { + timeStamp = now(); + gestureRes = [...face2(faceRes), ...body2(bodyRes), ...hand2(handRes), ...iris2(faceRes)]; + if (!this.config.async) + this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + else if (this.performance.gesture) + delete this.performance.gesture; + } + this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart); + const shape = ((_u = this.process.tensor) == null ? void 0 : _u.shape) || [0, 0, 0, 0]; + this.result = { + face: faceRes, + body: bodyRes, + hand: handRes, + gesture: gestureRes, + object: objectRes, + performance: this.performance, + canvas: this.process.canvas, + timestamp: Date.now(), + error: null, + width: shape[2], + height: shape[1], + get persons() { + return join2(faceRes, bodyRes, handRes, gestureRes, shape); + } + }; + tf38.dispose(img.tensor); + this.emit("detect"); + this.state = "idle"; + resolve(this.result); + }); + } + /** Helper function + * @param ms - sleep time in miliseconds + */ + async sleep(ms) { + return new Promise((resolve) => { + setTimeout(resolve, ms); + }); + } + /** Continously detect video frames + * @param element - HTMLVideoElement input + * @param run - boolean run continously or stop if already running, default true + * @param delay - number delay detection between frames for number of miliseconds, default 0 + */ + async video(element, run = true, delay = 0) { + if (run) { + if (!__privateGet(this, _loops)[element.id]) { + if (this.config.debug) + log("video start", element.id); + __privateGet(this, _loops)[element.id] = true; + } + if (!element.paused && __privateGet(this, _loops)[element.id] && element.readyState >= 2) + await this.detect(element); + if (delay > 0) + await this.sleep(delay); + if (__privateGet(this, _loops)[element.id]) + requestAnimationFrame(() => this.video(element, run, delay)); + } else { + if (this.config.debug) + log("video stop", element.id); + __privateGet(this, _loops)[element.id] = false; + } + } +}; +_numTensors = new WeakMap(); +_analyzeMemoryLeaks = new WeakMap(); +_checkSanity = new WeakMap(); +_sanity = new WeakMap(); +_loops = new WeakMap(); +// Annotate the CommonJS export names for ESM import in node: +0 && (module.exports = { + Env, + Human, + defaults, + draw, + empty, + env, + match, + models +}); diff --git a/dist/human.node-wasm.js b/dist/human.node-wasm.js index 2e49d3b1..6a15b0bd 100644 --- a/dist/human.node-wasm.js +++ b/dist/human.node-wasm.js @@ -4,7 +4,325 @@ author: ' */ -"use strict";var Do=Object.create;var w2=Object.defineProperty;var Fo=Object.getOwnPropertyDescriptor;var Bo=Object.getOwnPropertyNames;var Ho=Object.getPrototypeOf,Go=Object.prototype.hasOwnProperty;var Vo=(e,t,n)=>t in e?w2(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var Zo=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),ze=(e,t)=>{for(var n in t)w2(e,n,{get:t[n],enumerable:!0})},I1=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of Bo(t))!Go.call(e,r)&&r!==n&&w2(e,r,{get:()=>t[r],enumerable:!(o=Fo(t,r))||o.enumerable});return e};var G=(e,t,n)=>(n=e!=null?Do(Ho(e)):{},I1(t||!e||!e.__esModule?w2(n,"default",{value:e,enumerable:!0}):n,e)),qo=e=>I1(w2({},"__esModule",{value:!0}),e);var w=(e,t,n)=>(Vo(e,typeof t!="symbol"?t+"":t,n),n),N1=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Y0=(e,t,n)=>(N1(e,t,"read from private field"),n?n.call(e):t.get(e)),ue=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Re=(e,t,n,o)=>(N1(e,t,"write to private field"),o?o.call(e,n):t.set(e,n),n);var H=Zo((ga,z2)=>{"use strict";var Kt=Object.defineProperty,Xo=Object.getOwnPropertyDescriptor,Uo=Object.getOwnPropertyNames,Yo=Object.prototype.hasOwnProperty,Ko=(e,t)=>{for(var n in t)Kt(e,n,{get:t[n],enumerable:!0})},Yt=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of Uo(t))!Yo.call(e,r)&&r!==n&&Kt(e,r,{get:()=>t[r],enumerable:!(o=Xo(t,r))||o.enumerable});return e},Jt=(e,t,n)=>(Yt(e,t,"default"),n&&Yt(n,t,"default")),Jo=e=>Yt(Kt({},"__esModule",{value:!0}),e),E2={};Ko(E2,{version:()=>nr});z2.exports=Jo(E2);Jt(E2,require("@tensorflow/tfjs-core"),z2.exports);Jt(E2,require("@tensorflow/tfjs-converter"),z2.exports);Jt(E2,require("@tensorflow/tfjs-backend-wasm"),z2.exports);var O1="4.2.0",Qo="4.2.0",_o="4.2.0",$o="4.2.0",er="4.2.0",tr="0.0.1-alpha.17",nr={tfjs:O1,"tfjs-core":O1,"tfjs-converter":Qo,"tfjs-backend-cpu":_o,"tfjs-backend-webgl":$o,"tfjs-backend-wasm":er,"tfjs-backend-webgpu":tr}});var ha={};ze(ha,{Env:()=>S2,Human:()=>w1,default:()=>w1,defaults:()=>Ke,draw:()=>rt,empty:()=>Te,env:()=>R,match:()=>Wt,models:()=>k1});module.exports=qo(ha);var de=G(H());function h(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function L1(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Qt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Qt(e[r],t[r],r,o);else{let s=e&&typeof e[r]!="undefined";s||o.push({reason:"unknown property",where:`${n}.${r} = ${t[r]}`});let A=e&&typeof e[r]==typeof t[r];s&&!A&&o.push({reason:"property type mismatch",where:`${n}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&n==="config"&&o.length>0&&h("invalid configuration",o),o}function a0(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(r=>{let s=n[r],A=o[r];Array.isArray(s)&&Array.isArray(A)?n[r]=s.concat(...A):t(s)&&t(A)?n[r]=a0(s,A):n[r]=A}),n),{})}var Ke={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var W0=G(H());var I=G(H());var C1=` +"use strict"; +var __create = Object.create; +var __defProp = Object.defineProperty; +var __getOwnPropDesc = Object.getOwnPropertyDescriptor; +var __getOwnPropNames = Object.getOwnPropertyNames; +var __getProtoOf = Object.getPrototypeOf; +var __hasOwnProp = Object.prototype.hasOwnProperty; +var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; +var __commonJS = (cb, mod3) => function __require() { + return mod3 || (0, cb[__getOwnPropNames(cb)[0]])((mod3 = { exports: {} }).exports, mod3), mod3.exports; +}; +var __export = (target, all2) => { + for (var name in all2) + __defProp(target, name, { get: all2[name], enumerable: true }); +}; +var __copyProps = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames(from)) + if (!__hasOwnProp.call(to, key) && key !== except) + __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); + } + return to; +}; +var __toESM = (mod3, isNodeMode, target) => (target = mod3 != null ? __create(__getProtoOf(mod3)) : {}, __copyProps( + // If the importer is in node compatibility mode or this is not an ESM + // file that has been converted to a CommonJS file using a Babel- + // compatible transform (i.e. "__esModule" has not been set), then set + // "default" to the CommonJS "module.exports" for node compatibility. + isNodeMode || !mod3 || !mod3.__esModule ? __defProp(target, "default", { value: mod3, enumerable: true }) : target, + mod3 +)); +var __toCommonJS = (mod3) => __copyProps(__defProp({}, "__esModule", { value: true }), mod3); +var __publicField = (obj, key, value) => { + __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value); + return value; +}; +var __accessCheck = (obj, member, msg) => { + if (!member.has(obj)) + throw TypeError("Cannot " + msg); +}; +var __privateGet = (obj, member, getter) => { + __accessCheck(obj, member, "read from private field"); + return getter ? getter.call(obj) : member.get(obj); +}; +var __privateAdd = (obj, member, value) => { + if (member.has(obj)) + throw TypeError("Cannot add the same private member more than once"); + member instanceof WeakSet ? member.add(obj) : member.set(obj, value); +}; +var __privateSet = (obj, member, value, setter) => { + __accessCheck(obj, member, "write to private field"); + setter ? setter.call(obj, value) : member.set(obj, value); + return value; +}; + +// dist/tfjs.esm.js +var require_tfjs_esm = __commonJS({ + "dist/tfjs.esm.js"(exports, module2) { + "use strict"; + var __defProp2 = Object.defineProperty; + var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; + var __getOwnPropNames2 = Object.getOwnPropertyNames; + var __hasOwnProp2 = Object.prototype.hasOwnProperty; + var __export2 = (target, all2) => { + for (var name in all2) + __defProp2(target, name, { get: all2[name], enumerable: true }); + }; + var __copyProps2 = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames2(from)) + if (!__hasOwnProp2.call(to, key) && key !== except) + __defProp2(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc2(from, key)) || desc.enumerable }); + } + return to; + }; + var __reExport = (target, mod3, secondTarget) => (__copyProps2(target, mod3, "default"), secondTarget && __copyProps2(secondTarget, mod3, "default")); + var __toCommonJS2 = (mod3) => __copyProps2(__defProp2({}, "__esModule", { value: true }), mod3); + var tf_node_wasm_exports = {}; + __export2(tf_node_wasm_exports, { + version: () => version7 + }); + module2.exports = __toCommonJS2(tf_node_wasm_exports); + __reExport(tf_node_wasm_exports, require("@tensorflow/tfjs-core"), module2.exports); + __reExport(tf_node_wasm_exports, require("@tensorflow/tfjs-converter"), module2.exports); + __reExport(tf_node_wasm_exports, require("@tensorflow/tfjs-backend-wasm"), module2.exports); + var version4 = "4.5.0"; + var version22 = "4.5.0"; + var version32 = "4.5.0"; + var version42 = "4.5.0"; + var version5 = "4.5.0"; + var version6 = "0.0.1-alpha.20"; + var version7 = { + tfjs: version4, + "tfjs-core": version4, + // 'tfjs-data': tfjsDataVersion, + // 'tfjs-layers': tfjsLayersVersion, + "tfjs-converter": version22, + "tfjs-backend-cpu": version32, + "tfjs-backend-webgl": version42, + "tfjs-backend-wasm": version5, + "tfjs-backend-webgpu": version6 + }; + } +}); + +// src/human.ts +var human_exports = {}; +__export(human_exports, { + Env: () => Env, + Human: () => Human, + default: () => Human, + defaults: () => config, + draw: () => draw_exports, + empty: () => empty, + env: () => env, + match: () => match_exports, + models: () => models_exports2 +}); +module.exports = __toCommonJS(human_exports); +var tf38 = __toESM(require_tfjs_esm()); + +// src/util/util.ts +function log(...msg) { + const dt = /* @__PURE__ */ new Date(); + const ts = `${dt.getHours().toString().padStart(2, "0")}:${dt.getMinutes().toString().padStart(2, "0")}:${dt.getSeconds().toString().padStart(2, "0")}.${dt.getMilliseconds().toString().padStart(3, "0")}`; + if (msg) + console.log(ts, "Human:", ...msg); +} +function join(folder, file) { + const separator = folder.endsWith("/") ? "" : "/"; + const skipJoin = file.startsWith(".") || file.startsWith("/") || file.startsWith("http:") || file.startsWith("https:") || file.startsWith("file:"); + const path = skipJoin ? `${file}` : `${folder}${separator}${file}`; + if (!path.toLocaleLowerCase().includes(".json")) + throw new Error(`modelpath error: expecting json file: ${path}`); + return path; +} +var now = () => { + if (typeof performance !== "undefined") + return performance.now(); + return parseInt((Number(process.hrtime.bigint()) / 1e3 / 1e3).toString()); +}; +function validate(defaults, config3, parent = "config", msgs = []) { + for (const key of Object.keys(config3)) { + if (typeof config3[key] === "object") { + validate(defaults[key], config3[key], key, msgs); + } else { + const defined = defaults && typeof defaults[key] !== "undefined"; + if (!defined) + msgs.push({ reason: "unknown property", where: `${parent}.${key} = ${config3[key]}` }); + const same = defaults && typeof defaults[key] === typeof config3[key]; + if (defined && !same) + msgs.push({ reason: "property type mismatch", where: `${parent}.${key} = ${config3[key]}`, expected: typeof defaults[key] }); + } + } + if (config3.debug && parent === "config" && msgs.length > 0) + log("invalid configuration", msgs); + return msgs; +} +function mergeDeep(...objects) { + const isObject = (obj) => obj && typeof obj === "object"; + return objects.reduce((prev, obj) => { + Object.keys(obj || {}).forEach((key) => { + const pVal = prev[key]; + const oVal = obj[key]; + if (Array.isArray(pVal) && Array.isArray(oVal)) + prev[key] = pVal.concat(...oVal); + else if (isObject(pVal) && isObject(oVal)) + prev[key] = mergeDeep(pVal, oVal); + else + prev[key] = oVal; + }); + return prev; + }, {}); +} + +// src/config.ts +var config = { + backend: "", + modelBasePath: "", + cacheModels: true, + validateModels: true, + wasmPath: "", + wasmPlatformFetch: false, + debug: false, + async: true, + warmup: "full", + cacheSensitivity: 0.7, + skipAllowed: false, + deallocate: false, + flags: {}, + softwareKernels: false, + filter: { + enabled: true, + equalization: false, + width: 0, + height: 0, + flip: false, + return: true, + autoBrightness: true, + brightness: 0, + contrast: 0, + sharpness: 0, + blur: 0, + saturation: 0, + hue: 0, + negative: false, + sepia: false, + vintage: false, + kodachrome: false, + technicolor: false, + polaroid: false, + pixelate: 0 + }, + gesture: { + enabled: true + }, + face: { + enabled: true, + detector: { + modelPath: "blazeface.json", + rotation: false, + maxDetected: 1, + skipFrames: 99, + skipTime: 2500, + minConfidence: 0.2, + minSize: 0, + iouThreshold: 0.1, + mask: false, + return: false + }, + mesh: { + enabled: true, + modelPath: "facemesh.json", + keepInvalid: false + }, + attention: { + enabled: false, + modelPath: "facemesh-attention.json" + }, + iris: { + enabled: true, + modelPath: "iris.json" + }, + emotion: { + enabled: true, + minConfidence: 0.1, + skipFrames: 99, + skipTime: 1500, + modelPath: "emotion.json" + }, + description: { + enabled: true, + modelPath: "faceres.json", + skipFrames: 99, + skipTime: 3e3, + minConfidence: 0.1 + }, + antispoof: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "antispoof.json" + }, + liveness: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "liveness.json" + } + }, + body: { + enabled: true, + modelPath: "movenet-lightning.json", + maxDetected: -1, + minConfidence: 0.3, + skipFrames: 1, + skipTime: 200 + }, + hand: { + enabled: true, + rotation: true, + skipFrames: 99, + skipTime: 1e3, + minConfidence: 0.5, + iouThreshold: 0.2, + maxDetected: -1, + landmarks: true, + detector: { + modelPath: "handtrack.json" + }, + skeleton: { + modelPath: "handlandmark-lite.json" + } + }, + object: { + enabled: false, + modelPath: "centernet.json", + minConfidence: 0.2, + iouThreshold: 0.4, + maxDetected: 10, + skipFrames: 99, + skipTime: 2e3 + }, + segmentation: { + enabled: false, + modelPath: "rvm.json", + ratio: 0.5, + mode: "default" + } +}; + +// src/util/env.ts +var tf3 = __toESM(require_tfjs_esm()); + +// src/image/image.ts +var tf2 = __toESM(require_tfjs_esm()); + +// src/image/imagefxshaders.ts +var vertexIdentity = ` precision highp float; attribute vec2 pos; attribute vec2 uv; @@ -14,7 +332,8 @@ vUv = uv; gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.); } -`;var W1=` +`; +var colorMatrixWithAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -26,7 +345,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14]; gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19]; } -`,D1=` +`; +var colorMatrixWithoutAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -38,7 +358,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14]; gl_FragColor.a = c.a; } -`,F1=` +`; +var pixelate = ` precision highp float; varying vec2 vUv; uniform vec2 size; @@ -51,7 +372,8 @@ vec2 coord = pixelate(vUv, size); gl_FragColor += texture2D(texture, coord); } -`,B1=` +`; +var blur = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -74,7 +396,8 @@ gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794; gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265; } -`,H1=` +`; +var convolution = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -96,20 +419,6195 @@ c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var _t=(e,t,n)=>{let o=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(o,(r,s)=>(n[s]=0,r))},$t=class{constructor(t,n,o){w(this,"uniform",{});w(this,"attribute",{});w(this,"gl");w(this,"id");w(this,"compile",(t,n)=>{let o=this.gl.createShader(n);return o?(this.gl.shaderSource(o,t),this.gl.compileShader(o),this.gl.getShaderParameter(o,this.gl.COMPILE_STATUS)?o:(h(`filter: gl compile failed: ${this.gl.getShaderInfoLog(o)||"unknown"}`),null)):(h("filter: could not create shader"),null)});this.gl=t;let r=this.compile(n,this.gl.VERTEX_SHADER),s=this.compile(o,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!r||!s)){if(!this.id){h("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,r),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){h(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),_t(n,"attribute",this.attribute);for(let A in this.attribute)this.attribute[A]=this.gl.getAttribLocation(this.id,A);_t(n,"uniform",this.uniform),_t(o,"uniform",this.uniform);for(let A in this.uniform)this.uniform[A]=this.gl.getUniformLocation(this.id,A)}}};function G1(){let e=0,t=null,n=!1,o=-1,r=[null,null],s=[],A=null,a=null,l=Ae(100,100),c={},x={INTERMEDIATE:1},i=l.getContext("webgl");if(!i){h("filter: cannot get webgl context");return}this.gl=i;function f(g,p){if(!(g===l.width&&p===l.height)){if(l.width=g,l.height=p,!A){let b=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);A=i.createBuffer(),i.bindBuffer(i.ARRAY_BUFFER,A),i.bufferData(i.ARRAY_BUFFER,b,i.STATIC_DRAW),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}i.viewport(0,0,l.width,l.height),r=[null,null]}}function d(g,p){let b=i.createFramebuffer();i.bindFramebuffer(i.FRAMEBUFFER,b);let k=i.createRenderbuffer();i.bindRenderbuffer(i.RENDERBUFFER,k);let P=i.createTexture();return i.bindTexture(i.TEXTURE_2D,P),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,g,p,0,i.RGBA,i.UNSIGNED_BYTE,null),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.framebufferTexture2D(i.FRAMEBUFFER,i.COLOR_ATTACHMENT0,i.TEXTURE_2D,P,0),i.bindTexture(i.TEXTURE_2D,null),i.bindFramebuffer(i.FRAMEBUFFER,null),{fbo:b,texture:P}}function m(g){return r[g]=r[g]||d(l.width,l.height),r[g]}function y(g=0){if(!a)return;let p=null,b=null,k=!1;e===0?p=t:p=m(o).texture||null,e++,n&&!(g&x.INTERMEDIATE)?(b=null,k=e%2===0):(o=(o+1)%2,b=m(o).fbo||null),i.bindTexture(i.TEXTURE_2D,p),i.bindFramebuffer(i.FRAMEBUFFER,b),i.uniform1f(a.uniform.flipY,k?-1:1),i.drawArrays(i.TRIANGLES,0,6)}function u(g){if(c[g])return a=c[g],i.useProgram((a?a.id:null)||null),a;if(a=new $t(i,C1,g),!a)return h("filter: could not get webgl program"),null;let p=Float32Array.BYTES_PER_ELEMENT,b=4*p;return i.enableVertexAttribArray(a.attribute.pos),i.vertexAttribPointer(a.attribute.pos,2,i.FLOAT,!1,b,0*p),i.enableVertexAttribArray(a.attribute.uv),i.vertexAttribPointer(a.attribute.uv,2,i.FLOAT,!1,b,2*p),c[g]=a,a}let T={colorMatrix:g=>{let p=new Float32Array(g);p[4]/=255,p[9]/=255,p[14]/=255,p[19]/=255;let b=p[18]===1&&p[3]===0&&p[8]===0&&p[13]===0&&p[15]===0&&p[16]===0&&p[17]===0&&p[19]===0?D1:W1,k=u(b);k&&(i.uniform1fv(k.uniform.m,p),y())},brightness:g=>{let p=(g||0)+1;T.colorMatrix([p,0,0,0,0,0,p,0,0,0,0,0,p,0,0,0,0,0,1,0])},saturation:g=>{let p=(g||0)*2/3+1,b=(p-1)*-.5;T.colorMatrix([p,b,b,0,0,b,p,b,0,0,b,b,p,0,0,0,0,0,1,0])},desaturate:()=>{T.saturation(-1)},contrast:g=>{let p=(g||0)+1,b=-128*(p-1);T.colorMatrix([p,0,0,0,b,0,p,0,0,b,0,0,p,0,b,0,0,0,1,0])},negative:()=>{T.contrast(-2)},hue:g=>{g=(g||0)/180*Math.PI;let p=Math.cos(g),b=Math.sin(g),k=.213,P=.715,N=.072;T.colorMatrix([k+p*(1-k)+b*-k,P+p*-P+b*-P,N+p*-N+b*(1-N),0,0,k+p*-k+b*.143,P+p*(1-P)+b*.14,N+p*-N+b*-.283,0,0,k+p*-k+b*-(1-k),P+p*-P+b*P,N+p*(1-N)+b*N,0,0,0,0,0,1,0])},desaturateLuminance:()=>{T.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{T.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{T.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{T.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{T.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{T.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{T.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{T.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:g=>{let p=new Float32Array(g),b=1/l.width,k=1/l.height,P=u(H1);P&&(i.uniform1fv(P.uniform.m,p),i.uniform2f(P.uniform.px,b,k),y())},detectEdges:()=>{T.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{T.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{T.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:g=>{let p=g||1;T.convolution.call(this,[0,-1*p,0,-1*p,1+4*p,-1*p,0,-1*p,0])},emboss:g=>{let p=g||1;T.convolution.call(this,[-2*p,-1*p,0,-1*p,1,1*p,0,1*p,2*p])},blur:g=>{let p=g/7/l.width,b=g/7/l.height,k=u(B1);k&&(i.uniform2f(k.uniform.px,0,b),y(x.INTERMEDIATE),i.uniform2f(k.uniform.px,p,0),y())},pixelate:g=>{let p=g/l.width,b=g/l.height,k=u(F1);k&&(i.uniform2f(k.uniform.size,p,b),y())}};this.add=function(g){let p=Array.prototype.slice.call(arguments,1),b=T[g];s.push({func:b,args:p})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(g){f(g.width,g.height),e=0,t||(t=i.createTexture()),i.bindTexture(i.TEXTURE_2D,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,g);for(let p=0;px.data())),A=Math.max(s[0][0],s[1][0],s[2][0]),l=(A>1?255:1)/A,c;if(l>1){let x=[U.sub(n[0],o[0]),U.sub(n[1],o[1]),U.sub(n[2],o[2])],i=[U.sub(r[0],o[0]),U.sub(r[1],o[1]),U.sub(r[2],o[2])],f=[U.mul(x[0],l),U.mul(x[1],l),U.mul(x[2],l)],d=U.stack([f[0],f[1],f[2]],2);c=U.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),U.dispose([...x,...i,...f])}else c=U.expandDims(t,0);return U.dispose([...n,...o,...r,n,t,e]),c}var U2=3840,R0=null,M0=null,y2=null,e0,ne={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function e5(){ne.inputSum=0,ne.cacheDiff=1,ne.sumMethod=0,ne.inputTensor=void 0}function Ae(e,t){let n;if(R.browser)if(R.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")n=document.createElement("canvas"),n.width=e,n.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof R.Canvas!="undefined")n=new R.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")n=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof R.Canvas!="undefined"?n=new R.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t));return n}function Y2(e,t){let n=t||Ae(e.width,e.height);return n.getContext("2d").drawImage(e,0,0),n}async function K2(e,t,n=!0){var f,d,m;if(!e)return t.debug&&h("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof I.Tensor)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof I.Tensor){let y=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)y=I.expandDims(e,0);else if(e.shape[2]===4){let u=I.slice3d(e,[0,0,0],[-1,-1,3]);y=I.expandDims(u,0),I.dispose(u)}}else e.shape.length===4&&(e.shape[3]===3?y=I.clone(e):e.shape[3]===4&&(y=I.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(y==null||y.shape.length!==4||y.shape[0]!==1||y.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(y.dtype==="int32"){let u=I.cast(y,"float32");I.dispose(y),y=u}return{tensor:y,canvas:t.filter.return?M0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&h("input stream is not ready"),{tensor:null,canvas:R0};let o=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!o||!r)return t.debug&&h("cannot determine input dimensions"),{tensor:null,canvas:R0};let s=o,A=r;if(s>U2&&(s=U2,A=Math.trunc(s*r/o)),A>U2&&(A=U2,s=Math.trunc(A*o/r)),(((f=t.filter)==null?void 0:f.width)||0)>0?s=t.filter.width:(((d=t.filter)==null?void 0:d.height)||0)>0&&(s=o*((t.filter.height||0)/r)),(t.filter.height||0)>0?A=t.filter.height:(t.filter.width||0)>0&&(A=r*((t.filter.width||0)/o)),!s||!A)throw new Error("input error: cannot determine dimension");(!R0||R0.width!==s||R0.height!==A)&&(R0=Ae(s,A));let a=R0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?a.putImageData(e,0,0):t.filter.flip&&typeof a.translate!="undefined"?(a.translate(o,0),a.scale(-1,1),a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),a.setTransform(1,0,0,1,0,0)):a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),(!M0||R0.width!==M0.width||R0.height!==M0.height)&&(M0=Ae(R0.width,R0.height)),t.filter.enabled&&R.webgl.supported?(e0||(e0=R.browser?new G1:null),R.filter=!!e0,e0!=null&&e0.add?(e0.reset(),t.filter.brightness!==0&&e0.add("brightness",t.filter.brightness),t.filter.contrast!==0&&e0.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&e0.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&e0.add("blur",t.filter.blur),t.filter.saturation!==0&&e0.add("saturation",t.filter.saturation),t.filter.hue!==0&&e0.add("hue",t.filter.hue),t.filter.negative&&e0.add("negative"),t.filter.sepia&&e0.add("sepia"),t.filter.vintage&&e0.add("brownie"),t.filter.sepia&&e0.add("sepia"),t.filter.kodachrome&&e0.add("kodachrome"),t.filter.technicolor&&e0.add("technicolor"),t.filter.polaroid&&e0.add("polaroid"),t.filter.pixelate!==0&&e0.add("pixelate",t.filter.pixelate),((m=e0.get())==null?void 0:m.length)>1?M0=e0.apply(R0):M0=e0.draw(R0)):(t.debug&&h("input process error: cannot initialize filters"),R.webgl.supported=!1,t.filter.enabled=!1,Y2(R0,M0))):(Y2(R0,M0),e0&&(e0=null),R.filter=!!e0),!n)return{tensor:null,canvas:M0};if(!M0)throw new Error("canvas error: cannot create output");let l,c=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(R.browser&&I.browser)l=I.browser?I.browser.fromPixels(e):null;else{c=e.data.length/e.height/e.width;let y=new Uint8Array(e.data.buffer);l=I.tensor(y,[e.height,e.width,c],"int32")}else if((!y2||M0.width!==y2.width||M0.height!==y2.height)&&(y2=Ae(M0.width,M0.height)),I.browser&&R.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=I.browser.fromPixels(M0):(y2=Y2(M0),l=I.browser.fromPixels(y2));else{let T=Y2(M0).getContext("2d").getImageData(0,0,s,A);c=T.data.length/s/A;let g=new Uint8Array(T.data.buffer);l=I.tensor(g,[s,A,c])}if(c===4){let y=I.slice3d(l,[0,0,0],[-1,-1,3]);I.dispose(l),l=y}if(!l)throw new Error("input error: cannot create tensor");let x=I.cast(l,"float32"),i=t.filter.equalization?await X2(x):I.expandDims(x,0);if(I.dispose([l,x]),t.filter.autoBrightness){let y=I.max(i),u=await y.data();t.filter.brightness=u[0]>1?1-u[0]/255:1-u[0],I.dispose(y)}return{tensor:i,canvas:t.filter.return?M0:null}}async function V1(e,t){let n=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return n;if(!ne.inputTensor)ne.inputTensor=I.clone(t);else if(ne.inputTensor.shape[1]!==t.shape[1]||ne.inputTensor.shape[2]!==t.shape[2])I.dispose(ne.inputTensor),ne.inputTensor=I.clone(t);else{let o={};o.diff=I.sub(t,ne.inputTensor),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;I.dispose([ne.inputTensor,o.diff,o.squared,o.sum]),ne.inputTensor=I.clone(t),n=s<=(e.cacheSensitivity||0)}return n}async function Z1(e,t,n){let o={};if(!t||!n||t.shape.length!==4||t.shape.length!==n.shape.length)return e.debug||h("invalid input tensor or tensor shapes do not match:",t.shape,n.shape),0;if(t.shape[0]!==1||n.shape[0]!==1||t.shape[3]!==3||n.shape[3]!==3)return e.debug||h("input tensors must be of shape [1, height, width, 3]:",t.shape,n.shape),0;o.input1=I.clone(t),o.input2=t.shape[1]!==n.shape[1]||t.shape[2]!==n.shape[2]?I.image.resizeBilinear(n,[t.shape[1],t.shape[2]]):I.clone(n),o.diff=I.sub(o.input1,o.input2),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return I.dispose([o.input1,o.input2,o.diff,o.squared,o.sum]),s}var j2,I2,N2,S2=class{constructor(){w(this,"browser");w(this,"node");w(this,"worker");w(this,"platform","");w(this,"agent","");w(this,"backends",[]);w(this,"initial");w(this,"filter");w(this,"tfjs");w(this,"offscreen");w(this,"perfadd",!1);w(this,"tensorflow",{version:void 0,gpu:void 0});w(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});w(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});w(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});w(this,"cpu",{model:void 0,flags:[]});w(this,"kernels",[]);ue(this,j2,void 0);ue(this,I2,void 0);ue(this,N2,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:W0.version["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",n=t.match(/\(([^()]+)\)/g);if(n!=null&&n[0]){let o=n[0].match(/\(([^()]+)\)/g);this.platform=o!=null&&o[0]?o[0].replace(/\(|\)/g,""):"",this.agent=t.replace(n[0],""),this.platform[1]&&(this.agent=this.agent.replace(n[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Y0(this,j2)}set Canvas(t){Re(this,j2,t),globalThis.Canvas=t}get Image(){return Y0(this,I2)}set Image(t){Re(this,I2,t),globalThis.Image=t}get ImageData(){return Y0(this,N2)}set ImageData(t){Re(this,N2,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(W0.engine().registryFactory);try{this.tensorflow={version:W0.backend().binding?W0.backend().binding.TF_Version:void 0,gpu:W0.backend().binding?W0.backend().binding.isUsingGpuDevice():void 0}}catch(o){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await W0.env().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await W0.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=Ae(100,100),n=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof n!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&n&&(this.webgl.version=n.getParameter(n.VERSION),this.webgl.vendor=n.getParameter(n.VENDOR),this.webgl.renderer=n.getParameter(n.RENDERER),this.webgl.shader=n.getParameter(n.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let o=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(o==null?void 0:o.requestAdapterInfo())}}catch(o){this.webgpu.supported=!1}try{this.kernels=W0.getKernelsForBackend(W0.getBackend()).map(o=>o.kernelName.toLowerCase())}catch(o){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};j2=new WeakMap,I2=new WeakMap,N2=new WeakMap;var R=new S2;var Q2=class{constructor(){w(this,"config");w(this,"element");w(this,"stream");w(this,"devices",[]);w(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(n=>n.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});w(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let A=document.getElementById(t.element);if(A&&A instanceof HTMLVideoElement)this.element=A;else{this.config.debug&&h("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&h("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let n={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((r=this.config)==null?void 0:r.width)>0&&(n.video.width={ideal:this.config.width}),((s=this.config)==null?void 0:s.height)>0&&(n.video.height={ideal:this.config.height}),this.config.id&&(n.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&h("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&h("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&h("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(n)}catch(A){h("webcam",A);return}if(!this.stream){this.config.debug&&h("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(A=>{this.element?this.element.onloadeddata=()=>A(!0):A(!1)}),await this.element.play(),this.config.debug&&h("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});w(this,"pause",()=>{this.element&&this.element.pause()});w(this,"play",async()=>{this.element&&await this.element.play()});w(this,"stop",()=>{this.config.debug&&h("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var f2=G(H());var t5={};ze(t5,{"affectnet-mobilenet":()=>hr,age:()=>br,"anti-spoofing":()=>Qr,antispoof:()=>Ar,blazeface:()=>ar,"blazeface-back":()=>gr,"blazeface-front":()=>Tr,"blazepose-detector":()=>vr,"blazepose-full":()=>Rr,"blazepose-heavy":()=>Mr,"blazepose-lite":()=>Pr,centernet:()=>ir,default:()=>cs,efficientpose:()=>kr,"efficientpose-i-lite":()=>_r,"efficientpose-ii-lite":()=>$r,"efficientpose-iv":()=>es,emotion:()=>lr,faceboxes:()=>wr,facemesh:()=>cr,"facemesh-attention":()=>zr,"facemesh-attention-pinto":()=>Er,"facemesh-detection-full":()=>Sr,"facemesh-detection-short":()=>jr,faceres:()=>dr,"faceres-deep":()=>Ir,gear:()=>Lr,"gear-e1":()=>Nr,"gear-e2":()=>Or,gender:()=>Wr,"gender-ssrnet-imdb":()=>Cr,handdetect:()=>Dr,"handlandmark-full":()=>Fr,"handlandmark-lite":()=>xr,"handlandmark-sparse":()=>Br,handskeleton:()=>Hr,handtrack:()=>yr,"insightface-efficientnet-b0":()=>ts,"insightface-ghostnet-strides1":()=>ns,"insightface-ghostnet-strides2":()=>os,"insightface-mobilenet-emore":()=>rs,"insightface-mobilenet-swish":()=>ss,iris:()=>fr,liveness:()=>mr,meet:()=>Gr,mobileface:()=>Vr,mobilefacenet:()=>Zr,models:()=>pr,"movenet-lightning":()=>ur,"movenet-multipose":()=>qr,"movenet-thunder":()=>Xr,nanodet:()=>Ur,"nanodet-e":()=>As,"nanodet-g":()=>as,"nanodet-m":()=>is,"nanodet-t":()=>ls,posenet:()=>Yr,rvm:()=>Kr,selfie:()=>Jr});var Ar=853098,ar=538928,ir=4030290,lr=820516,cr=1477958,dr=6978814,xr=2023432,yr=2964837,fr=2599092,mr=592976,pr=0,ur=4650216,hr=6920630,br=161240,gr=538928,Tr=402048,vr=5928856,Rr=6339202,Mr=27502466,Pr=2726402,kr=5651240,wr=2013002,Er=2387598,zr=2382414,Sr=1026192,jr=201268,Ir=13957620,Nr=112438,Or=112438,Lr=1498916,Cr=161236,Wr=201808,Dr=3515612,Fr=5431368,Br=5286322,Hr=5502280,Gr=372228,Vr=2183192,Zr=5171976,qr=9448838,Xr=12477112,Ur=7574558,Yr=5032780,Kr=3739355,Jr=212886,Qr=853098,_r=2269064,$r=5651240,es=25643252,ts=13013224,ns=8093408,os=8049584,rs=6938536,ss=12168584,As=12319156,as=7574558,is=1887474,ls=5294216,cs={antispoof:Ar,blazeface:ar,centernet:ir,emotion:lr,facemesh:cr,faceres:dr,"handlandmark-lite":xr,handtrack:yr,iris:fr,liveness:mr,models:pr,"movenet-lightning":ur,"affectnet-mobilenet":hr,age:br,"blazeface-back":gr,"blazeface-front":Tr,"blazepose-detector":vr,"blazepose-full":Rr,"blazepose-heavy":Mr,"blazepose-lite":Pr,efficientpose:kr,faceboxes:wr,"facemesh-attention-pinto":Er,"facemesh-attention":zr,"facemesh-detection-full":Sr,"facemesh-detection-short":jr,"faceres-deep":Ir,"gear-e1":Nr,"gear-e2":Or,gear:Lr,"gender-ssrnet-imdb":Cr,gender:Wr,handdetect:Dr,"handlandmark-full":Fr,"handlandmark-sparse":Br,handskeleton:Hr,meet:Gr,mobileface:Vr,mobilefacenet:Zr,"movenet-multipose":qr,"movenet-thunder":Xr,nanodet:Ur,posenet:Yr,rvm:Kr,selfie:Jr,"anti-spoofing":Qr,"efficientpose-i-lite":_r,"efficientpose-ii-lite":$r,"efficientpose-iv":es,"insightface-efficientnet-b0":ts,"insightface-ghostnet-strides1":ns,"insightface-ghostnet-strides2":os,"insightface-mobilenet-emore":rs,"insightface-mobilenet-swish":ss,"nanodet-e":As,"nanodet-g":as,"nanodet-m":is,"nanodet-t":ls};var D0={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},I0={};async function ds(e,t){return D0.debug&&h("load model fetch:",e,t),fetch(e,t)}function q1(e){D0.cacheModels=e.cacheModels,D0.verbose=e.debug,D0.modelBasePath=e.modelBasePath}async function O(e){var c,x,i,f;let t=L1(D0.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let n=t.includes("/")?t.split("/"):t.split("\\"),o=n[n.length-1].replace(".json",""),r="indexeddb://"+o;I0[o]={name:o,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:t5[o],inCache:!1,url:""},D0.cacheSupported=typeof indexedDB!="undefined";let s={};try{s=D0.cacheSupported&&D0.cacheModels?await f2.io.listModels():{}}catch(d){D0.cacheSupported=!1}I0[o].inCache=D0.cacheSupported&&D0.cacheModels&&Object.keys(s).includes(r),I0[o].url=I0[o].inCache?r:t;let A=typeof fetch=="undefined"?{}:{fetchFunc:(d,m)=>ds(d,m)},a=new f2.GraphModel(I0[o].url,A),l=!1;try{a.findIOHandler(),D0.debug&&h("model load handler:",a.handler)}catch(d){h("error finding model i/o handler:",t,d)}try{let d=await((c=a.handler)==null?void 0:c.load())||null;I0[o].sizeFromManifest=((x=d==null?void 0:d.weightData)==null?void 0:x.byteLength)||0,d?a.loadSync(d):a=await f2.loadGraphModel(I0[o].inCache?r:t,A),I0[o].sizeLoadedWeights=((f=(i=a.artifacts)==null?void 0:i.weightData)==null?void 0:f.byteLength)||0,D0.verbose&&h("load:",{model:o,url:a.modelUrl,bytes:I0[o].sizeLoadedWeights}),l=!0}catch(d){h("error loading model:",t,d)}if(l&&D0.cacheModels&&D0.cacheSupported&&!I0[o].inCache)try{let d=await a.save(r);D0.debug&&h("model saved:",r,d)}catch(d){h("error saving model:",t,d)}return a}var n5="3.0.6";var S=G(H());var u0=G(H());var o0={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function fs(){let e=o0.gl;e&&(o0.extensions=e.getSupportedExtensions())}function X1(e){var t;if(e.config.backend==="humangl"&&(o0.name in u0.engine().registry&&!((t=o0==null?void 0:o0.gl)!=null&&t.getParameter(o0.gl.VERSION))&&(h("humangl error: backend invalid context"),e.models.reset()),!u0.findBackend(o0.name))){try{o0.canvas=Ae(100,100)}catch(r){h("humangl error: cannot create canvas:",r);return}try{if(o0.gl=o0.canvas.getContext("webgl2",o0.webGLattr),!o0.gl){h("humangl error: cannot get webgl context");return}if(!o0.gl.getParameter(o0.gl.VERSION).includes("2.0")){h("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}o0.canvas&&(o0.canvas.addEventListener("webglcontextlost",s=>{throw h("humangl error:",s.type),h("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),o0.canvas.addEventListener("webglcontextrestored",s=>{h("humangl error: context restored:",s)}),o0.canvas.addEventListener("webglcontextcreationerror",s=>{h("humangl error: context create:",s)}))}catch(r){h("humangl error: cannot get webgl context:",r);return}try{u0.setWebGLContext(2,o0.gl)}catch(r){h("humangl error: cannot set webgl context:",r);return}try{let r=new u0.GPGPUContext(o0.gl);u0.registerBackend(o0.name,()=>new u0.MathBackendWebGL(r),o0.priority)}catch(r){h("humangl error: cannot register webgl backend:",r);return}try{u0.getKernelsForBackend("webgl").forEach(s=>{let A={...s,backendName:o0.name};u0.registerKernel(A)})}catch(r){h("humangl error: cannot update webgl backend registration:",r);return}try{u0.env().flagRegistry.WEBGL_VERSION&&u0.env().set("WEBGL_VERSION",2)}catch(r){h("humangl error: cannot set WebGL backend flags:",r);return}fs();let n=u0.backend(),o=typeof n.gpgpu!="undefined"?n.getGPGPUContext().gl:null;o?e.config.debug&&h("humangl backend registered:",{webgl:o.getParameter(o.VERSION),renderer:o.getParameter(o.RENDERER)}):h("humangl error: no current gl context:",o,o0.gl)}}var Se=G(H()),C={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function U1(){C.tf255=Se.scalar(255,"float32"),C.tf1=Se.scalar(1,"float32"),C.tf2=Se.scalar(2,"float32"),C.tf05=Se.scalar(.5,"float32"),C.tf127=Se.scalar(127.5,"float32"),C.rgb=Se.tensor1d([.2989,.587,.114],"float32")}async function us(){var e;return await R.updateBackend(),(e=R.tensorflow)!=null&&e.version?"tensorflow":R.webgpu.supported&&R.webgpu.backend?"webgpu":R.webgl.supported&&R.webgl.backend?"webgl":R.wasm.supported&&R.wasm.backend?"wasm":"cpu"}function hs(e){let t=[];if(!R.kernels.includes("mod")){let n={kernelName:"Mod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.sub(o.inputs.a,S.mul(S.div(o.inputs.a,o.inputs.b),o.inputs.b)))};S.registerKernel(n),R.kernels.push("mod"),t.push("mod")}if(!R.kernels.includes("floormod")){let n={kernelName:"FloorMod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.add(S.mul(S.floorDiv(o.inputs.a,o.inputs.b),o.inputs.b),S.mod(o.inputs.a,o.inputs.b)))};S.registerKernel(n),R.kernels.push("floormod"),t.push("floormod")}if(!R.kernels.includes("rotatewithoffset")&&e.softwareKernels){let n={kernelName:"RotateWithOffset",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>{let r=S.getBackend();S.setBackend("cpu");let s=S.image.rotateWithOffset(o.inputs.image,o.attrs.radians,o.attrs.fillValue,o.attrs.center);return S.setBackend(r),s})};S.registerKernel(n),R.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&h("registered kernels:",t)}var Y1={};async function O2(e,t=!1){var n,o;if(e.state="backend",((n=e.config.backend)==null?void 0:n.length)===0&&(e.config.backend=await us()),t||R.initial||e.config.backend&&e.config.backend.length>0&&S.getBackend()!==e.config.backend){let r=v();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&h("running inside web worker"),typeof navigator!="undefined"&&((o=navigator==null?void 0:navigator.userAgent)!=null&&o.toLowerCase().includes("electron"))&&e.config.debug&&h("running inside electron");let s=Object.keys(S.engine().registryFactory);if(e.config.backend==="humangl"&&!s.includes("humangl")&&(X1(e),s=Object.keys(S.engine().registryFactory)),e.config.debug&&h("available backends:",s),R.browser&&!R.node&&e.config.backend==="tensorflow"&&s.includes("webgl")&&(e.config.debug&&h("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),R.node&&!R.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&s.includes("tensorflow")&&(e.config.debug&&h(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),R.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")h("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let A=await navigator.gpu.requestAdapter();if(e.config.debug&&h("enumerated webgpu adapter:",A),!A)h("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let a="requestAdapterInfo"in A?await A.requestAdapterInfo():void 0;h("webgpu adapter info:",a)}}if(s.includes(e.config.backend)||(h(`error: backend ${e.config.backend} not found in registry`),e.config.backend=R.node?"tensorflow":"webgl",e.config.debug&&h(`override: setting backend ${e.config.backend}`)),e.config.debug&&h("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(S.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&S.env().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&h("wasm path:",e.config.wasmPath),typeof S.setWasmPaths!="undefined")S.setWasmPaths(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let A=!1,a=!1;try{A=await S.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),a=await S.env().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&h(`wasm execution: ${a?"simd":"no simd"} ${A?"multithreaded":"singlethreaded"}`),e.config.debug&&!a&&h("warning: wasm simd support is not enabled")}catch(l){h("wasm detection failed")}}try{await S.setBackend(e.config.backend),await S.ready()}catch(A){return h("error: cannot set backend:",e.config.backend,A),!1}e.config.debug&&(Y1=JSON.parse(JSON.stringify(S.env().flags)))}if((S.getBackend()==="humangl"||S.getBackend()==="webgl")&&(S.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&S.env().set("WEBGL_USE_SHAPES_UNIFORMS",!0),S.env().flagRegistry.WEBGL_EXP_CONV&&S.env().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(h("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),S.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),S.getBackend(),e.config.debug){let s=S.env().flags,A={};for(let a of Object.keys(s))Y1[a]!==s[a]&&(A[a]=s[a]);e.config.debug&&Object.keys(A).length>0&&h("backend:",S.getBackend(),"flags:",A)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&h("flags:",e.config.flags);for(let[s,A]of Object.entries(e.config.flags))S.env().set(s,A)}S.enableProdMode(),U1(),e.performance.initBackend=Math.trunc(v()-r),e.config.backend=S.getBackend(),await R.updateBackend(),hs(e.config)}return!0}function _2(e,t){for(let n of e){let o={kernelName:n,backendName:t.backend,kernelFunc:r=>{var s;return t.debug&&h("kernelFunc",n,t.backend,r),(s=r==null?void 0:r.inputs)==null?void 0:s.info}};S.registerKernel(o)}R.kernels=S.getKernelsForBackend(S.getBackend()).map(n=>n.kernelName.toLowerCase())}var rt={};ze(rt,{all:()=>Ks,body:()=>et,canvas:()=>Ys,face:()=>$2,gesture:()=>ot,hand:()=>tt,init:()=>l5,object:()=>nt,options:()=>f0,person:()=>Us});var oe=e=>{if(!e)h("draw error: invalid canvas");else if(!e.getContext)h("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)h("draw error: cannot get canvas context");else return t}return null},Je=e=>Math.round(e*180/Math.PI),Y=(e,t,n)=>e.replace(t,typeof n=="number"?n.toFixed(1):n),Qe=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let n=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${n[0]}, ${n[1]}, ${n[2]}, ${t.alpha})`};function re(e,t,n,o,r){let s=t.replace(/\[.*\]/g,"").split(` -`).map(a=>a.trim()),A=Math.max(0,n);for(let a=s.length-1;a>=0;a--){let l=a*r.lineHeight+o;r.shadowColor&&r.shadowColor!==""&&(e.fillStyle=r.shadowColor,e.fillText(s[a],A+5,l+16)),e.fillStyle=r.labelColor,e.fillText(s[a],A+4,l+15)}}function he(e,t,n,o,r){e.fillStyle=Qe(o,r),e.beginPath(),e.arc(t,n,r.pointSize,0,2*Math.PI),e.fill()}function be(e,t,n,o,r,s){if(e.beginPath(),e.lineWidth=s.lineWidth,s.useCurves){let A=(t+t+o)/2,a=(n+n+r)/2;e.ellipse(A,a,o/2,r/2,0,0,2*Math.PI)}else e.moveTo(t+s.roundRect,n),e.lineTo(t+o-s.roundRect,n),e.quadraticCurveTo(t+o,n,t+o,n+s.roundRect),e.lineTo(t+o,n+r-s.roundRect),e.quadraticCurveTo(t+o,n+r,t+o-s.roundRect,n+r),e.lineTo(t+s.roundRect,n+r),e.quadraticCurveTo(t,n+r,t,n+r-s.roundRect),e.lineTo(t,n+s.roundRect),e.quadraticCurveTo(t,n,t+s.roundRect,n),e.closePath();e.stroke()}function o5(e,t,n){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let o of t)e.strokeStyle=Qe(o[2]||0,n),e.lineTo(Math.trunc(o[0]),Math.trunc(o[1]));e.stroke(),n.fillPolygons&&(e.closePath(),e.fill())}}function J1(e,t,n){if(!(t.length<2)){if(e.lineWidth=n.lineWidth,!n.useCurves||t.length<=2){o5(e,t,n);return}e.moveTo(t[0][0],t[0][1]);for(let o=0;oL2[e]),Ga=gs.map(e=>L2[e]),Va=Ts.map(e=>L2[e]);function je(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var vs=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Rs=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Ms=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ps=[[474,475],[475,476],[476,477],[477,474]],ks=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ws=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Es=[[469,470],[470,471],[471,472],[472,469]],zs=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],Za={lips:je(vs),leftEye:je(Rs),leftEyebrow:je(Ms),leftIris:je(Ps),rightEye:je(ks),rightEyebrow:je(ws),rightIris:je(Es),faceOval:je(zs)};var Ss=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],js=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Is=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ns=[[474,475],[475,476],[476,477],[477,474]],Os=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Ls=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Cs=[[469,470],[470,471],[471,472],[472,469]],Ws=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Ie(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Ds={lips:Ie(Ss),leftEye:Ie(js),leftEyebrow:Ie(Is),leftIris:Ie(Ns),rightEye:Ie(Os),rightEyebrow:Ie(Ls),rightIris:Ie(Cs),faceOval:Ie(Ws)},Fs=Object.entries(Ds).map(([e,t])=>t.map(n=>[n,e])).flat(),qa=new Map(Fs),C2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],e2=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],t2=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var X;function Bs(e,t){var o,r,s,A,a,l,c,x,i;if(!X.drawLabels||((o=X.faceLabels)==null?void 0:o.length)===0)return;let n=X.faceLabels.slice();if(n=Y(n,"[id]",e.id.toFixed(0)),e.score&&(n=Y(n,"[score]",100*e.score)),e.gender&&(n=Y(n,"[gender]",e.gender)),e.genderScore&&(n=Y(n,"[genderScore]",100*e.genderScore)),e.age&&(n=Y(n,"[age]",e.age)),e.distance&&(n=Y(n,"[distance]",100*e.distance)),e.real&&(n=Y(n,"[real]",100*e.real)),e.live&&(n=Y(n,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let f=e.emotion.map(d=>`${Math.trunc(100*d.score)}% ${d.emotion}`);f.length>3&&(f.length=3),n=Y(n,"[emotions]",f.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(n=Y(n,"[roll]",Je(e.rotation.angle.roll))),(a=(A=e.rotation)==null?void 0:A.angle)!=null&&a.yaw&&(n=Y(n,"[yaw]",Je(e.rotation.angle.yaw))),(c=(l=e.rotation)==null?void 0:l.angle)!=null&&c.pitch&&(n=Y(n,"[pitch]",Je(e.rotation.angle.pitch))),(i=(x=e.rotation)==null?void 0:x.gaze)!=null&&i.bearing&&(n=Y(n,"[gaze]",Je(e.rotation.gaze.bearing))),re(t,n,e.box[0],e.box[1],X)}function Hs(e,t){var n,o,r,s;if((n=e.annotations)!=null&&n.leftEyeIris&&((o=e.annotations)!=null&&o.leftEyeIris[0])){t.strokeStyle=X.useDepth?"rgba(255, 200, 255, 0.3)":X.color,t.beginPath();let A=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,a=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),X.fillPolygons&&(t.fillStyle=X.useDepth?"rgba(255, 255, 200, 0.3)":X.color,t.fill())}if((r=e.annotations)!=null&&r.rightEyeIris&&((s=e.annotations)!=null&&s.rightEyeIris[0])){t.strokeStyle=X.useDepth?"rgba(255, 200, 255, 0.3)":X.color,t.beginPath();let A=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,a=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),X.fillPolygons&&(t.fillStyle=X.useDepth?"rgba(255, 255, 200, 0.3)":X.color,t.fill())}}function Gs(e,t){var n;if(X.drawGaze&&((n=e.rotation)!=null&&n.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let o=e.box[0]+e.box[2]/2-e.box[3]*Je(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*Je(e.rotation.angle.pitch)/90,s=new Path2D(` - M ${e.box[0]+e.box[2]/2} ${e.box[1]} +`; + +// src/image/imagefx.ts +var collect = (source, prefix, collection) => { + const r = new RegExp("\\b" + prefix + " \\w+ (\\w+)", "ig"); + source.replace(r, (match2, name) => { + collection[name] = 0; + return match2; + }); +}; +var GLProgram = class { + constructor(gl, vertexSource, fragmentSource) { + __publicField(this, "uniform", {}); + __publicField(this, "attribute", {}); + __publicField(this, "gl"); + __publicField(this, "id"); + __publicField(this, "compile", (source, type) => { + const shader = this.gl.createShader(type); + if (!shader) { + log("filter: could not create shader"); + return null; + } + this.gl.shaderSource(shader, source); + this.gl.compileShader(shader); + if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) { + log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || "unknown"}`); + return null; + } + return shader; + }); + this.gl = gl; + const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER); + const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER); + this.id = this.gl.createProgram(); + if (!vertexShader || !fragmentShader) + return; + if (!this.id) { + log("filter: could not create webgl program"); + return; + } + this.gl.attachShader(this.id, vertexShader); + this.gl.attachShader(this.id, fragmentShader); + this.gl.linkProgram(this.id); + if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) { + log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || "unknown"}`); + return; + } + this.gl.useProgram(this.id); + collect(vertexSource, "attribute", this.attribute); + for (const a in this.attribute) + this.attribute[a] = this.gl.getAttribLocation(this.id, a); + collect(vertexSource, "uniform", this.uniform); + collect(fragmentSource, "uniform", this.uniform); + for (const u in this.uniform) + this.uniform[u] = this.gl.getUniformLocation(this.id, u); + } +}; +function GLImageFilter() { + let drawCount = 0; + let sourceTexture = null; + let lastInChain = false; + let currentFramebufferIndex = -1; + let tempFramebuffers = [null, null]; + let filterChain = []; + let vertexBuffer = null; + let currentProgram = null; + const fxcanvas = canvas(100, 100); + const shaderProgramCache = {}; + const DRAW = { INTERMEDIATE: 1 }; + const gl = fxcanvas.getContext("webgl"); + if (!gl) { + log("filter: cannot get webgl context"); + return; + } + this.gl = gl; + function resize(width, height) { + if (width === fxcanvas.width && height === fxcanvas.height) + return; + fxcanvas.width = width; + fxcanvas.height = height; + if (!vertexBuffer) { + const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); + vertexBuffer = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer); + gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW); + gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true); + } + gl.viewport(0, 0, fxcanvas.width, fxcanvas.height); + tempFramebuffers = [null, null]; + } + function createFramebufferTexture(width, height) { + const fbo = gl.createFramebuffer(); + gl.bindFramebuffer(gl.FRAMEBUFFER, fbo); + const renderbuffer = gl.createRenderbuffer(); + gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer); + const texture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, texture); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0); + gl.bindTexture(gl.TEXTURE_2D, null); + gl.bindFramebuffer(gl.FRAMEBUFFER, null); + return { fbo, texture }; + } + function getTempFramebuffer(index2) { + tempFramebuffers[index2] = tempFramebuffers[index2] || createFramebufferTexture(fxcanvas.width, fxcanvas.height); + return tempFramebuffers[index2]; + } + function draw(flags = 0) { + if (!currentProgram) + return; + let source = null; + let target = null; + let flipY = false; + if (drawCount === 0) + source = sourceTexture; + else + source = getTempFramebuffer(currentFramebufferIndex).texture || null; + drawCount++; + if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { + target = null; + flipY = drawCount % 2 === 0; + } else { + currentFramebufferIndex = (currentFramebufferIndex + 1) % 2; + target = getTempFramebuffer(currentFramebufferIndex).fbo || null; + } + gl.bindTexture(gl.TEXTURE_2D, source); + gl.bindFramebuffer(gl.FRAMEBUFFER, target); + gl.uniform1f(currentProgram.uniform["flipY"], flipY ? -1 : 1); + gl.drawArrays(gl.TRIANGLES, 0, 6); + } + function compileShader(fragmentSource) { + if (shaderProgramCache[fragmentSource]) { + currentProgram = shaderProgramCache[fragmentSource]; + gl.useProgram((currentProgram ? currentProgram.id : null) || null); + return currentProgram; + } + currentProgram = new GLProgram(gl, vertexIdentity, fragmentSource); + if (!currentProgram) { + log("filter: could not get webgl program"); + return null; + } + const floatSize = Float32Array.BYTES_PER_ELEMENT; + const vertSize = 4 * floatSize; + gl.enableVertexAttribArray(currentProgram.attribute["pos"]); + gl.vertexAttribPointer(currentProgram.attribute["pos"], 2, gl.FLOAT, false, vertSize, 0 * floatSize); + gl.enableVertexAttribArray(currentProgram.attribute["uv"]); + gl.vertexAttribPointer(currentProgram.attribute["uv"], 2, gl.FLOAT, false, vertSize, 2 * floatSize); + shaderProgramCache[fragmentSource] = currentProgram; + return currentProgram; + } + const filter = { + colorMatrix: (matrix) => { + const m = new Float32Array(matrix); + m[4] /= 255; + m[9] /= 255; + m[14] /= 255; + m[19] /= 255; + const shader = m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0 ? colorMatrixWithoutAlpha : colorMatrixWithAlpha; + const program = compileShader(shader); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + draw(); + }, + brightness: (brightness) => { + const b = (brightness || 0) + 1; + filter.colorMatrix([ + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + saturation: (amount) => { + const x = (amount || 0) * 2 / 3 + 1; + const y = (x - 1) * -0.5; + filter.colorMatrix([ + x, + y, + y, + 0, + 0, + y, + x, + y, + 0, + 0, + y, + y, + x, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturate: () => { + filter.saturation(-1); + }, + contrast: (amount) => { + const v = (amount || 0) + 1; + const o = -128 * (v - 1); + filter.colorMatrix([ + v, + 0, + 0, + 0, + o, + 0, + v, + 0, + 0, + o, + 0, + 0, + v, + 0, + o, + 0, + 0, + 0, + 1, + 0 + ]); + }, + negative: () => { + filter.contrast(-2); + }, + hue: (rotation) => { + rotation = (rotation || 0) / 180 * Math.PI; + const cos = Math.cos(rotation); + const sin = Math.sin(rotation); + const lumR = 0.213; + const lumG = 0.715; + const lumB = 0.072; + filter.colorMatrix([ + lumR + cos * (1 - lumR) + sin * -lumR, + lumG + cos * -lumG + sin * -lumG, + lumB + cos * -lumB + sin * (1 - lumB), + 0, + 0, + lumR + cos * -lumR + sin * 0.143, + lumG + cos * (1 - lumG) + sin * 0.14, + lumB + cos * -lumB + sin * -0.283, + 0, + 0, + lumR + cos * -lumR + sin * -(1 - lumR), + lumG + cos * -lumG + sin * lumG, + lumB + cos * (1 - lumB) + sin * lumB, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturateLuminance: () => { + filter.colorMatrix([ + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0, + 0, + 0, + 1, + 0 + ]); + }, + sepia: () => { + filter.colorMatrix([ + 0.393, + 0.7689999, + 0.18899999, + 0, + 0, + 0.349, + 0.6859999, + 0.16799999, + 0, + 0, + 0.272, + 0.5339999, + 0.13099999, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + brownie: () => { + filter.colorMatrix([ + 0.5997023498159715, + 0.34553243048391263, + -0.2708298674538042, + 0, + 47.43192855600873, + -0.037703249837783157, + 0.8609577587992641, + 0.15059552388459913, + 0, + -36.96841498319127, + 0.24113635128153335, + -0.07441037908422492, + 0.44972182064877153, + 0, + -7.562075277591283, + 0, + 0, + 0, + 1, + 0 + ]); + }, + vintagePinhole: () => { + filter.colorMatrix([ + 0.6279345635605994, + 0.3202183420819367, + -0.03965408211312453, + 0, + 9.651285835294123, + 0.02578397704808868, + 0.6441188644374771, + 0.03259127616149294, + 0, + 7.462829176470591, + 0.0466055556782719, + -0.0851232987247891, + 0.5241648018700465, + 0, + 5.159190588235296, + 0, + 0, + 0, + 1, + 0 + ]); + }, + kodachrome: () => { + filter.colorMatrix([ + 1.1285582396593525, + -0.3967382283601348, + -0.03992559172921793, + 0, + 63.72958762196502, + -0.16404339962244616, + 1.0835251566291304, + -0.05498805115633132, + 0, + 24.732407896706203, + -0.16786010706155763, + -0.5603416277695248, + 1.6014850761964943, + 0, + 35.62982807460946, + 0, + 0, + 0, + 1, + 0 + ]); + }, + technicolor: () => { + filter.colorMatrix([ + 1.9125277891456083, + -0.8545344976951645, + -0.09155508482755585, + 0, + 11.793603434377337, + -0.3087833385928097, + 1.7658908555458428, + -0.10601743074722245, + 0, + -70.35205161461398, + -0.231103377548616, + -0.7501899197440212, + 1.847597816108189, + 0, + 30.950940869491138, + 0, + 0, + 0, + 1, + 0 + ]); + }, + polaroid: () => { + filter.colorMatrix([ + 1.438, + -0.062, + -0.062, + 0, + 0, + -0.122, + 1.378, + -0.122, + 0, + 0, + -0.016, + -0.016, + 1.483, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + shiftToBGR: () => { + filter.colorMatrix([ + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + convolution: (matrix) => { + const m = new Float32Array(matrix); + const pixelSizeX = 1 / fxcanvas.width; + const pixelSizeY = 1 / fxcanvas.height; + const program = compileShader(convolution); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + gl.uniform2f(program.uniform["px"], pixelSizeX, pixelSizeY); + draw(); + }, + detectEdges: () => { + filter.convolution.call(this, [ + 0, + 1, + 0, + 1, + -4, + 1, + 0, + 1, + 0 + ]); + }, + sobelX: () => { + filter.convolution.call(this, [ + -1, + 0, + 1, + -2, + 0, + 2, + -1, + 0, + 1 + ]); + }, + sobelY: () => { + filter.convolution.call(this, [ + -1, + -2, + -1, + 0, + 0, + 0, + 1, + 2, + 1 + ]); + }, + sharpen: (amount) => { + const a = amount || 1; + filter.convolution.call(this, [ + 0, + -1 * a, + 0, + -1 * a, + 1 + 4 * a, + -1 * a, + 0, + -1 * a, + 0 + ]); + }, + emboss: (size2) => { + const s = size2 || 1; + filter.convolution.call(this, [ + -2 * s, + -1 * s, + 0, + -1 * s, + 1, + 1 * s, + 0, + 1 * s, + 2 * s + ]); + }, + blur: (size2) => { + const blurSizeX = size2 / 7 / fxcanvas.width; + const blurSizeY = size2 / 7 / fxcanvas.height; + const program = compileShader(blur); + if (!program) + return; + gl.uniform2f(program.uniform["px"], 0, blurSizeY); + draw(DRAW.INTERMEDIATE); + gl.uniform2f(program.uniform["px"], blurSizeX, 0); + draw(); + }, + pixelate: (size2) => { + const blurSizeX = size2 / fxcanvas.width; + const blurSizeY = size2 / fxcanvas.height; + const program = compileShader(pixelate); + if (!program) + return; + gl.uniform2f(program.uniform["size"], blurSizeX, blurSizeY); + draw(); + } + }; + this.add = function(name) { + const args = Array.prototype.slice.call(arguments, 1); + const func = filter[name]; + filterChain.push({ func, args }); + }; + this.reset = function() { + filterChain = []; + }; + this.get = function() { + return filterChain; + }; + this.apply = function(image28) { + resize(image28.width, image28.height); + drawCount = 0; + if (!sourceTexture) + sourceTexture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, sourceTexture); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image28); + for (let i = 0; i < filterChain.length; i++) { + lastInChain = i === filterChain.length - 1; + const f = filterChain[i]; + f.func.apply(this, f.args || []); + } + return fxcanvas; + }; + this.draw = function(image28) { + this.add("brightness", 0); + return this.apply(image28); + }; +} + +// src/image/enhance.ts +var tf = __toESM(require_tfjs_esm()); +async function histogramEqualization(inputImage) { + const squeeze14 = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage; + const rgb3 = tf.split(squeeze14, 3, 2); + const min2 = [tf.min(rgb3[0]), tf.min(rgb3[1]), tf.min(rgb3[2])]; + const max5 = [tf.max(rgb3[0]), tf.max(rgb3[1]), tf.max(rgb3[2])]; + const absMax = await Promise.all(max5.map((channel) => channel.data())); + const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]); + const maxRange = maxValue > 1 ? 255 : 1; + const factor = maxRange / maxValue; + let final; + if (factor > 1) { + const sub11 = [tf.sub(rgb3[0], min2[0]), tf.sub(rgb3[1], min2[1]), tf.sub(rgb3[2], min2[2])]; + const range = [tf.sub(max5[0], min2[0]), tf.sub(max5[1], min2[1]), tf.sub(max5[2], min2[2])]; + const enh = [tf.mul(sub11[0], factor), tf.mul(sub11[1], factor), tf.mul(sub11[2], factor)]; + const stack5 = tf.stack([enh[0], enh[1], enh[2]], 2); + final = tf.reshape(stack5, [1, squeeze14.shape[0] || 0, squeeze14.shape[1] || 0, 3]); + tf.dispose([...sub11, ...range, ...enh, stack5]); + } else { + final = tf.expandDims(squeeze14, 0); + } + tf.dispose([...rgb3, ...min2, ...max5, rgb3, squeeze14, inputImage]); + return final; +} + +// src/image/image.ts +var maxSize = 3840; +var inCanvas = null; +var outCanvas = null; +var tmpCanvas = null; +var fx; +var last = { + inputSum: 0, + cacheDiff: 1, + sumMethod: 0, + inputTensor: void 0 +}; +function reset() { + last.inputSum = 0; + last.cacheDiff = 1; + last.sumMethod = 0; + last.inputTensor = void 0; +} +function canvas(width, height) { + let c; + if (env.browser) { + if (env.worker) { + if (typeof OffscreenCanvas === "undefined") + throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported"); + c = new OffscreenCanvas(width, height); + } else { + if (typeof document !== "undefined") { + c = document.createElement("canvas"); + c.width = width; + c.height = height; + } else if (typeof navigator !== "undefined" && navigator.product === "ReactNative") { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + else + throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed"); + } else { + throw new Error("canvas error: attempted to run in browser but DOM is not defined"); + } + } + } else { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + } + return c; +} +function copy(input, output) { + const outputCanvas = output || canvas(input.width, input.height); + const ctx = outputCanvas.getContext("2d"); + ctx.drawImage(input, 0, 0); + return outputCanvas; +} +async function process2(input, config3, getTensor = true) { + var _a, _b, _c; + if (!input) { + if (config3.debug) + log("input error: input is missing"); + return { tensor: null, canvas: null }; + } + if (!(input instanceof tf2.Tensor) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { + throw new Error("input error: type not recognized"); + } + if (input instanceof tf2.Tensor) { + let tensor7 = null; + if (input["isDisposedInternal"]) + throw new Error("input error: attempted to use tensor but it is disposed"); + if (!input.shape) + throw new Error("input error: attempted to use tensor without a shape"); + if (input.shape.length === 3) { + if (input.shape[2] === 3) { + tensor7 = tf2.expandDims(input, 0); + } else if (input.shape[2] === 4) { + const rgb3 = tf2.slice3d(input, [0, 0, 0], [-1, -1, 3]); + tensor7 = tf2.expandDims(rgb3, 0); + tf2.dispose(rgb3); + } + } else if (input.shape.length === 4) { + if (input.shape[3] === 3) { + tensor7 = tf2.clone(input); + } else if (input.shape[3] === 4) { + tensor7 = tf2.slice4d(input, [0, 0, 0, 0], [-1, -1, -1, 3]); + } + } + if (tensor7 == null || tensor7.shape.length !== 4 || tensor7.shape[0] !== 1 || tensor7.shape[3] !== 3) + throw new Error(`input error: attempted to use tensor with unrecognized shape: ${input.shape.toString()}`); + if (tensor7.dtype === "int32") { + const cast8 = tf2.cast(tensor7, "float32"); + tf2.dispose(tensor7); + tensor7 = cast8; + } + return { tensor: tensor7, canvas: config3.filter.return ? outCanvas : null }; + } + if (typeof input["readyState"] !== "undefined" && input.readyState <= 2) { + if (config3.debug) + log("input stream is not ready"); + return { tensor: null, canvas: inCanvas }; + } + const originalWidth = input["naturalWidth"] || input["videoWidth"] || input["width"] || input["shape"] && input["shape"][1] > 0; + const originalHeight = input["naturalHeight"] || input["videoHeight"] || input["height"] || input["shape"] && input["shape"][2] > 0; + if (!originalWidth || !originalHeight) { + if (config3.debug) + log("cannot determine input dimensions"); + return { tensor: null, canvas: inCanvas }; + } + let targetWidth = originalWidth; + let targetHeight = originalHeight; + if (targetWidth > maxSize) { + targetWidth = maxSize; + targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth); + } + if (targetHeight > maxSize) { + targetHeight = maxSize; + targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight); + } + if ((((_a = config3.filter) == null ? void 0 : _a.width) || 0) > 0) + targetWidth = config3.filter.width; + else if ((((_b = config3.filter) == null ? void 0 : _b.height) || 0) > 0) + targetWidth = originalWidth * ((config3.filter.height || 0) / originalHeight); + if ((config3.filter.height || 0) > 0) + targetHeight = config3.filter.height; + else if ((config3.filter.width || 0) > 0) + targetHeight = originalHeight * ((config3.filter.width || 0) / originalWidth); + if (!targetWidth || !targetHeight) + throw new Error("input error: cannot determine dimension"); + if (!inCanvas || inCanvas.width !== targetWidth || inCanvas.height !== targetHeight) + inCanvas = canvas(targetWidth, targetHeight); + const inCtx = inCanvas.getContext("2d"); + if (typeof ImageData !== "undefined" && input instanceof ImageData) { + inCtx.putImageData(input, 0, 0); + } else { + if (config3.filter.flip && typeof inCtx.translate !== "undefined") { + inCtx.translate(originalWidth, 0); + inCtx.scale(-1, 1); + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + inCtx.setTransform(1, 0, 0, 1, 0, 0); + } else { + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + } + } + if (!outCanvas || inCanvas.width !== outCanvas.width || inCanvas.height !== outCanvas.height) + outCanvas = canvas(inCanvas.width, inCanvas.height); + if (config3.filter.enabled && env.webgl.supported) { + if (!fx) + fx = env.browser ? new GLImageFilter() : null; + env.filter = !!fx; + if (!(fx == null ? void 0 : fx.add)) { + if (config3.debug) + log("input process error: cannot initialize filters"); + env.webgl.supported = false; + config3.filter.enabled = false; + copy(inCanvas, outCanvas); + } else { + fx.reset(); + if (config3.filter.brightness !== 0) + fx.add("brightness", config3.filter.brightness); + if (config3.filter.contrast !== 0) + fx.add("contrast", config3.filter.contrast); + if (config3.filter.sharpness !== 0) + fx.add("sharpen", config3.filter.sharpness); + if (config3.filter.blur !== 0) + fx.add("blur", config3.filter.blur); + if (config3.filter.saturation !== 0) + fx.add("saturation", config3.filter.saturation); + if (config3.filter.hue !== 0) + fx.add("hue", config3.filter.hue); + if (config3.filter.negative) + fx.add("negative"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.vintage) + fx.add("brownie"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.kodachrome) + fx.add("kodachrome"); + if (config3.filter.technicolor) + fx.add("technicolor"); + if (config3.filter.polaroid) + fx.add("polaroid"); + if (config3.filter.pixelate !== 0) + fx.add("pixelate", config3.filter.pixelate); + if (((_c = fx.get()) == null ? void 0 : _c.length) > 1) + outCanvas = fx.apply(inCanvas); + else + outCanvas = fx.draw(inCanvas); + } + } else { + copy(inCanvas, outCanvas); + if (fx) + fx = null; + env.filter = !!fx; + } + if (!getTensor) + return { tensor: null, canvas: outCanvas }; + if (!outCanvas) + throw new Error("canvas error: cannot create output"); + let pixels; + let depth = 3; + if (typeof ImageData !== "undefined" && input instanceof ImageData || input.data && input.width && input.height) { + if (env.browser && tf2.browser) { + pixels = tf2.browser ? tf2.browser.fromPixels(input) : null; + } else { + depth = input.data.length / input.height / input.width; + const arr = new Uint8Array(input.data.buffer); + pixels = tf2.tensor(arr, [input.height, input.width, depth], "int32"); + } + } else { + if (!tmpCanvas || outCanvas.width !== tmpCanvas.width || outCanvas.height !== tmpCanvas.height) + tmpCanvas = canvas(outCanvas.width, outCanvas.height); + if (tf2.browser && env.browser) { + if (config3.backend === "webgl" || config3.backend === "humangl" || config3.backend === "webgpu") { + pixels = tf2.browser.fromPixels(outCanvas); + } else { + tmpCanvas = copy(outCanvas); + pixels = tf2.browser.fromPixels(tmpCanvas); + } + } else { + const tempCanvas = copy(outCanvas); + const tempCtx = tempCanvas.getContext("2d"); + const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight); + depth = tempData.data.length / targetWidth / targetHeight; + const arr = new Uint8Array(tempData.data.buffer); + pixels = tf2.tensor(arr, [targetWidth, targetHeight, depth]); + } + } + if (depth === 4) { + const rgb3 = tf2.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); + tf2.dispose(pixels); + pixels = rgb3; + } + if (!pixels) + throw new Error("input error: cannot create tensor"); + const casted = tf2.cast(pixels, "float32"); + const tensor6 = config3.filter.equalization ? await histogramEqualization(casted) : tf2.expandDims(casted, 0); + tf2.dispose([pixels, casted]); + if (config3.filter.autoBrightness) { + const max5 = tf2.max(tensor6); + const maxVal = await max5.data(); + config3.filter.brightness = maxVal[0] > 1 ? 1 - maxVal[0] / 255 : 1 - maxVal[0]; + tf2.dispose(max5); + } + return { tensor: tensor6, canvas: config3.filter.return ? outCanvas : null }; +} +async function skip(config3, input) { + let skipFrame = false; + if (config3.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) + return skipFrame; + if (!last.inputTensor) { + last.inputTensor = tf2.clone(input); + } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { + tf2.dispose(last.inputTensor); + last.inputTensor = tf2.clone(input); + } else { + const t2 = {}; + t2.diff = tf2.sub(input, last.inputTensor); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; + tf2.dispose([last.inputTensor, t2.diff, t2.squared, t2.sum]); + last.inputTensor = tf2.clone(input); + skipFrame = diffRelative <= (config3.cacheSensitivity || 0); + } + return skipFrame; +} +async function compare(config3, input1, input2) { + const t2 = {}; + if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) { + if (!config3.debug) + log("invalid input tensor or tensor shapes do not match:", input1.shape, input2.shape); + return 0; + } + if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) { + if (!config3.debug) + log("input tensors must be of shape [1, height, width, 3]:", input1.shape, input2.shape); + return 0; + } + t2.input1 = tf2.clone(input1); + t2.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? tf2.image.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : tf2.clone(input2); + t2.diff = tf2.sub(t2.input1, t2.input2); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3; + tf2.dispose([t2.input1, t2.input2, t2.diff, t2.squared, t2.sum]); + return diffRelative; +} + +// src/util/env.ts +var _canvas, _image, _imageData; +var Env = class { + constructor() { + /** Running in Browser */ + __publicField(this, "browser"); + /** Running in NodeJS */ + __publicField(this, "node"); + /** Running in WebWorker thread */ + __publicField(this, "worker"); + /** Detected platform */ + __publicField(this, "platform", ""); + /** Detected agent */ + __publicField(this, "agent", ""); + /** List of supported backends */ + __publicField(this, "backends", []); + /** Has any work been performed so far */ + __publicField(this, "initial"); + /** Are image filters supported? */ + __publicField(this, "filter"); + /** TFJS instance details */ + __publicField(this, "tfjs"); + /** Is offscreenCanvas supported? */ + __publicField(this, "offscreen"); + /** Are performance counter instant values or additive */ + __publicField(this, "perfadd", false); + /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */ + __publicField(this, "tensorflow", { + version: void 0, + gpu: void 0 + }); + /** WASM detected capabilities */ + __publicField(this, "wasm", { + supported: void 0, + backend: void 0, + simd: void 0, + multithread: void 0 + }); + /** WebGL detected capabilities */ + __publicField(this, "webgl", { + supported: void 0, + backend: void 0, + version: void 0, + renderer: void 0, + shader: void 0, + vendor: void 0 + }); + /** WebGPU detected capabilities */ + __publicField(this, "webgpu", { + supported: void 0, + backend: void 0, + adapter: void 0 + }); + /** CPU info */ + __publicField(this, "cpu", { + model: void 0, + flags: [] + }); + /** List of supported kernels for current backend */ + __publicField(this, "kernels", []); + /** MonkeyPatch for Canvas/Image/ImageData */ + __privateAdd(this, _canvas, void 0); + __privateAdd(this, _image, void 0); + __privateAdd(this, _imageData, void 0); + this.browser = typeof navigator !== "undefined"; + this.node = typeof process !== "undefined" && typeof process.versions !== "undefined" && typeof process.versions.node !== "undefined"; + this.tfjs = { version: tf3.version["tfjs-core"] }; + this.offscreen = typeof OffscreenCanvas !== "undefined"; + this.initial = true; + this.worker = this.browser && this.offscreen ? typeof WorkerGlobalScope !== "undefined" : void 0; + if (typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined") { + const agent = navigator.userAgent || ""; + const raw = agent.match(/\(([^()]+)\)/g); + if (raw == null ? void 0 : raw[0]) { + const platformMatch = raw[0].match(/\(([^()]+)\)/g); + this.platform = (platformMatch == null ? void 0 : platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, "") : ""; + this.agent = agent.replace(raw[0], ""); + if (this.platform[1]) + this.agent = this.agent.replace(raw[1], ""); + this.agent = this.agent.replace(/ /g, " "); + } + } else if (typeof process !== "undefined") { + this.platform = `${process.platform} ${process.arch}`; + this.agent = `NodeJS ${process.version}`; + } + } + get Canvas() { + return __privateGet(this, _canvas); + } + set Canvas(val) { + __privateSet(this, _canvas, val); + globalThis.Canvas = val; + } + get Image() { + return __privateGet(this, _image); + } + // @ts-ignore monkey-patch; + set Image(val) { + __privateSet(this, _image, val); + globalThis.Image = val; + } + get ImageData() { + return __privateGet(this, _imageData); + } + // @ts-ignore monkey-patch; + set ImageData(val) { + __privateSet(this, _imageData, val); + globalThis.ImageData = val; + } + /** update backend information */ + async updateBackend() { + this.backends = Object.keys(tf3.engine().registryFactory); + try { + this.tensorflow = { + version: tf3.backend()["binding"] ? tf3.backend()["binding"].TF_Version : void 0, + gpu: tf3.backend()["binding"] ? tf3.backend()["binding"].isUsingGpuDevice() : void 0 + }; + } catch (e) { + } + this.wasm.supported = typeof WebAssembly !== "undefined"; + this.wasm.backend = this.backends.includes("wasm"); + if (this.wasm.supported && this.wasm.backend) { + this.wasm.simd = await tf3.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + this.wasm.multithread = await tf3.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + } + const c = canvas(100, 100); + const gl = c ? c.getContext("webgl2") : void 0; + this.webgl.supported = typeof gl !== "undefined"; + this.webgl.backend = this.backends.includes("webgl"); + if (this.webgl.supported && this.webgl.backend && gl) { + this.webgl.version = gl.getParameter(gl.VERSION); + this.webgl.vendor = gl.getParameter(gl.VENDOR); + this.webgl.renderer = gl.getParameter(gl.RENDERER); + this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION); + } + this.webgpu.supported = this.browser && typeof navigator !== "undefined" && typeof navigator.gpu !== "undefined"; + this.webgpu.backend = this.backends.includes("webgpu"); + try { + if (this.webgpu.supported) { + const adapter = await navigator.gpu.requestAdapter(); + this.webgpu.adapter = await (adapter == null ? void 0 : adapter.requestAdapterInfo()); + } + } catch (e) { + this.webgpu.supported = false; + } + try { + this.kernels = tf3.getKernelsForBackend(tf3.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); + } catch (e) { + } + } + /** update cpu information */ + updateCPU() { + const cpu = { model: "", flags: [] }; + if (this.node && this.platform.startsWith("linux")) { + } + if (!this.cpu) + Object.defineProperty(this, "cpu", { value: cpu }); + else + this.cpu = cpu; + } +}; +_canvas = new WeakMap(); +_image = new WeakMap(); +_imageData = new WeakMap(); +var env = new Env(); + +// src/util/webcam.ts +var WebCam = class { + constructor() { + // eslint-disable-line @typescript-eslint/no-extraneous-class + /** current webcam configuration */ + __publicField(this, "config"); + /** instance of dom element associated with webcam stream */ + __publicField(this, "element"); + /** active webcam stream */ + __publicField(this, "stream"); + /** enumerated video devices */ + __publicField(this, "devices", []); + __publicField(this, "enumerate", async () => { + try { + const devices = await navigator.mediaDevices.enumerateDevices(); + this.devices = devices.filter((device) => device.kind === "videoinput"); + } catch (e) { + this.devices = []; + } + return this.devices; + }); + /** start method initializizes webcam stream and associates it with a dom video element */ + __publicField(this, "start", async (webcamConfig) => { + var _a, _b; + if (webcamConfig == null ? void 0 : webcamConfig.debug) + this.config.debug = webcamConfig == null ? void 0 : webcamConfig.debug; + if (webcamConfig == null ? void 0 : webcamConfig.crop) + this.config.crop = webcamConfig == null ? void 0 : webcamConfig.crop; + if (webcamConfig == null ? void 0 : webcamConfig.mode) + this.config.mode = webcamConfig == null ? void 0 : webcamConfig.mode; + if (webcamConfig == null ? void 0 : webcamConfig.width) + this.config.width = webcamConfig == null ? void 0 : webcamConfig.width; + if (webcamConfig == null ? void 0 : webcamConfig.height) + this.config.height = webcamConfig == null ? void 0 : webcamConfig.height; + if (webcamConfig == null ? void 0 : webcamConfig.id) + this.config.id = webcamConfig == null ? void 0 : webcamConfig.id; + if (webcamConfig == null ? void 0 : webcamConfig.element) { + if (typeof webcamConfig.element === "string") { + const el = document.getElementById(webcamConfig.element); + if (el && el instanceof HTMLVideoElement) { + this.element = el; + } else { + if (this.config.debug) + log("webcam", "cannot get dom element", webcamConfig.element); + return; + } + } else if (webcamConfig.element instanceof HTMLVideoElement) { + this.element = webcamConfig.element; + } else { + if (this.config.debug) + log("webcam", "unknown dom element", webcamConfig.element); + return; + } + } else { + this.element = document.createElement("video"); + } + const requestedConstraints = { + audio: false, + video: { + facingMode: this.config.mode === "front" ? "user" : "environment", + // @ts-ignore // resizeMode is still not defined in tslib + resizeMode: this.config.crop ? "crop-and-scale" : "none" + } + }; + if (((_a = this.config) == null ? void 0 : _a.width) > 0) + requestedConstraints.video.width = { ideal: this.config.width }; + if (((_b = this.config) == null ? void 0 : _b.height) > 0) + requestedConstraints.video.height = { ideal: this.config.height }; + if (this.config.id) + requestedConstraints.video.deviceId = this.config.id; + this.element.addEventListener("play", () => { + if (this.config.debug) + log("webcam", "play"); + }); + this.element.addEventListener("pause", () => { + if (this.config.debug) + log("webcam", "pause"); + }); + this.element.addEventListener("click", async () => { + if (!this.element || !this.stream) + return; + if (this.element.paused) + await this.element.play(); + else + this.element.pause(); + }); + if (!(navigator == null ? void 0 : navigator.mediaDevices)) { + if (this.config.debug) + log("webcam", "no devices"); + return; + } + try { + this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); + } catch (err) { + log("webcam", err); + return; + } + if (!this.stream) { + if (this.config.debug) + log("webcam", "no stream"); + return; + } + this.element.srcObject = this.stream; + const ready3 = new Promise((resolve) => { + if (!this.element) + resolve(false); + else + this.element.onloadeddata = () => resolve(true); + }); + await ready3; + await this.element.play(); + if (this.config.debug) { + log("webcam", { + width: this.width, + height: this.height, + label: this.label, + stream: this.stream, + track: this.track, + settings: this.settings, + constraints: this.constraints, + capabilities: this.capabilities + }); + } + }); + /** pause webcam video method */ + __publicField(this, "pause", () => { + if (this.element) + this.element.pause(); + }); + /** play webcam video method */ + __publicField(this, "play", async () => { + if (this.element) + await this.element.play(); + }); + /** stop method stops active webcam stream track and disconnects webcam */ + __publicField(this, "stop", () => { + if (this.config.debug) + log("webcam", "stop"); + if (this.track) + this.track.stop(); + }); + this.config = { + element: void 0, + debug: true, + mode: "front", + crop: false, + width: 0, + height: 0 + }; + } + /** get active webcam stream track */ + get track() { + if (!this.stream) + return void 0; + return this.stream.getVideoTracks()[0]; + } + /** get webcam capabilities */ + get capabilities() { + if (!this.track) + return void 0; + return this.track.getCapabilities ? this.track.getCapabilities() : void 0; + } + /** get webcam constraints */ + get constraints() { + if (!this.track) + return void 0; + return this.track.getConstraints ? this.track.getConstraints() : void 0; + } + /** get webcam settings */ + get settings() { + if (!this.stream) + return void 0; + const track = this.stream.getVideoTracks()[0]; + return track.getSettings ? track.getSettings() : void 0; + } + /** get webcam label */ + get label() { + if (!this.track) + return ""; + return this.track.label; + } + /** is webcam paused */ + get paused() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.paused) || false; + } + /** webcam current width */ + get width() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoWidth) || 0; + } + /** webcam current height */ + get height() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoHeight) || 0; + } +}; + +// src/tfjs/load.ts +var tf4 = __toESM(require_tfjs_esm()); + +// models/models.json +var models_exports = {}; +__export(models_exports, { + "affectnet-mobilenet": () => affectnet_mobilenet, + age: () => age, + "anti-spoofing": () => anti_spoofing, + antispoof: () => antispoof, + blazeface: () => blazeface, + "blazeface-back": () => blazeface_back, + "blazeface-front": () => blazeface_front, + "blazepose-detector": () => blazepose_detector, + "blazepose-full": () => blazepose_full, + "blazepose-heavy": () => blazepose_heavy, + "blazepose-lite": () => blazepose_lite, + centernet: () => centernet, + default: () => models_default, + efficientpose: () => efficientpose, + "efficientpose-i-lite": () => efficientpose_i_lite, + "efficientpose-ii-lite": () => efficientpose_ii_lite, + "efficientpose-iv": () => efficientpose_iv, + emotion: () => emotion, + faceboxes: () => faceboxes, + facemesh: () => facemesh, + "facemesh-attention": () => facemesh_attention, + "facemesh-attention-pinto": () => facemesh_attention_pinto, + "facemesh-detection-full": () => facemesh_detection_full, + "facemesh-detection-short": () => facemesh_detection_short, + faceres: () => faceres, + "faceres-deep": () => faceres_deep, + gear: () => gear, + "gear-e1": () => gear_e1, + "gear-e2": () => gear_e2, + gender: () => gender, + "gender-ssrnet-imdb": () => gender_ssrnet_imdb, + handdetect: () => handdetect, + "handlandmark-full": () => handlandmark_full, + "handlandmark-lite": () => handlandmark_lite, + "handlandmark-sparse": () => handlandmark_sparse, + handskeleton: () => handskeleton, + handtrack: () => handtrack, + "insightface-efficientnet-b0": () => insightface_efficientnet_b0, + "insightface-ghostnet-strides1": () => insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": () => insightface_ghostnet_strides2, + "insightface-mobilenet-emore": () => insightface_mobilenet_emore, + "insightface-mobilenet-swish": () => insightface_mobilenet_swish, + iris: () => iris, + liveness: () => liveness, + meet: () => meet, + mobileface: () => mobileface, + mobilefacenet: () => mobilefacenet, + models: () => models, + "movenet-lightning": () => movenet_lightning, + "movenet-multipose": () => movenet_multipose, + "movenet-thunder": () => movenet_thunder, + nanodet: () => nanodet, + "nanodet-e": () => nanodet_e, + "nanodet-g": () => nanodet_g, + "nanodet-m": () => nanodet_m, + "nanodet-t": () => nanodet_t, + posenet: () => posenet, + rvm: () => rvm, + selfie: () => selfie +}); +var antispoof = 853098; +var blazeface = 538928; +var centernet = 4030290; +var emotion = 820516; +var facemesh = 1477958; +var faceres = 6978814; +var handlandmark_lite = 2023432; +var handtrack = 2964837; +var iris = 2599092; +var liveness = 592976; +var models = 0; +var movenet_lightning = 4650216; +var affectnet_mobilenet = 6920630; +var age = 161240; +var blazeface_back = 538928; +var blazeface_front = 402048; +var blazepose_detector = 5928856; +var blazepose_full = 6339202; +var blazepose_heavy = 27502466; +var blazepose_lite = 2726402; +var efficientpose = 5651240; +var faceboxes = 2013002; +var facemesh_attention_pinto = 2387598; +var facemesh_attention = 2382414; +var facemesh_detection_full = 1026192; +var facemesh_detection_short = 201268; +var faceres_deep = 13957620; +var gear_e1 = 112438; +var gear_e2 = 112438; +var gear = 1498916; +var gender_ssrnet_imdb = 161236; +var gender = 201808; +var handdetect = 3515612; +var handlandmark_full = 5431368; +var handlandmark_sparse = 5286322; +var handskeleton = 5502280; +var meet = 372228; +var mobileface = 2183192; +var mobilefacenet = 5171976; +var movenet_multipose = 9448838; +var movenet_thunder = 12477112; +var nanodet = 7574558; +var posenet = 5032780; +var rvm = 3739355; +var selfie = 212886; +var anti_spoofing = 853098; +var efficientpose_i_lite = 2269064; +var efficientpose_ii_lite = 5651240; +var efficientpose_iv = 25643252; +var insightface_efficientnet_b0 = 13013224; +var insightface_ghostnet_strides1 = 8093408; +var insightface_ghostnet_strides2 = 8049584; +var insightface_mobilenet_emore = 6938536; +var insightface_mobilenet_swish = 12168584; +var nanodet_e = 12319156; +var nanodet_g = 7574558; +var nanodet_m = 1887474; +var nanodet_t = 5294216; +var models_default = { + antispoof, + blazeface, + centernet, + emotion, + facemesh, + faceres, + "handlandmark-lite": handlandmark_lite, + handtrack, + iris, + liveness, + models, + "movenet-lightning": movenet_lightning, + "affectnet-mobilenet": affectnet_mobilenet, + age, + "blazeface-back": blazeface_back, + "blazeface-front": blazeface_front, + "blazepose-detector": blazepose_detector, + "blazepose-full": blazepose_full, + "blazepose-heavy": blazepose_heavy, + "blazepose-lite": blazepose_lite, + efficientpose, + faceboxes, + "facemesh-attention-pinto": facemesh_attention_pinto, + "facemesh-attention": facemesh_attention, + "facemesh-detection-full": facemesh_detection_full, + "facemesh-detection-short": facemesh_detection_short, + "faceres-deep": faceres_deep, + "gear-e1": gear_e1, + "gear-e2": gear_e2, + gear, + "gender-ssrnet-imdb": gender_ssrnet_imdb, + gender, + handdetect, + "handlandmark-full": handlandmark_full, + "handlandmark-sparse": handlandmark_sparse, + handskeleton, + meet, + mobileface, + mobilefacenet, + "movenet-multipose": movenet_multipose, + "movenet-thunder": movenet_thunder, + nanodet, + posenet, + rvm, + selfie, + "anti-spoofing": anti_spoofing, + "efficientpose-i-lite": efficientpose_i_lite, + "efficientpose-ii-lite": efficientpose_ii_lite, + "efficientpose-iv": efficientpose_iv, + "insightface-efficientnet-b0": insightface_efficientnet_b0, + "insightface-ghostnet-strides1": insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": insightface_ghostnet_strides2, + "insightface-mobilenet-emore": insightface_mobilenet_emore, + "insightface-mobilenet-swish": insightface_mobilenet_swish, + "nanodet-e": nanodet_e, + "nanodet-g": nanodet_g, + "nanodet-m": nanodet_m, + "nanodet-t": nanodet_t +}; + +// src/tfjs/load.ts +var options = { + cacheModels: true, + cacheSupported: true, + verbose: true, + debug: false, + modelBasePath: "" +}; +var modelStats = {}; +async function httpHandler(url, init4) { + if (options.debug) + log("load model fetch:", url, init4); + return fetch(url, init4); +} +function setModelLoadOptions(config3) { + options.cacheModels = config3.cacheModels; + options.verbose = config3.debug; + options.modelBasePath = config3.modelBasePath; +} +async function loadModel(modelPath) { + var _a, _b, _c, _d; + let modelUrl = join(options.modelBasePath, modelPath || ""); + if (!modelUrl.toLowerCase().endsWith(".json")) + modelUrl += ".json"; + const modelPathSegments = modelUrl.includes("/") ? modelUrl.split("/") : modelUrl.split("\\"); + const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace(".json", ""); + const cachedModelName = "indexeddb://" + shortModelName; + modelStats[shortModelName] = { + name: shortModelName, + sizeFromManifest: 0, + sizeLoadedWeights: 0, + sizeDesired: models_exports[shortModelName], + inCache: false, + url: "" + }; + options.cacheSupported = typeof indexedDB !== "undefined"; + let cachedModels = {}; + try { + cachedModels = options.cacheSupported && options.cacheModels ? await tf4.io.listModels() : {}; + } catch (e) { + options.cacheSupported = false; + } + modelStats[shortModelName].inCache = options.cacheSupported && options.cacheModels && Object.keys(cachedModels).includes(cachedModelName); + modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl; + const tfLoadOptions = typeof fetch === "undefined" ? {} : { fetchFunc: (url, init4) => httpHandler(url, init4) }; + let model23 = new tf4.GraphModel(modelStats[shortModelName].url, tfLoadOptions); + let loaded = false; + try { + model23.findIOHandler(); + if (options.debug) + log("model load handler:", model23["handler"]); + } catch (err) { + log("error finding model i/o handler:", modelUrl, err); + } + try { + const artifacts = await ((_a = model23.handler) == null ? void 0 : _a.load()) || null; + modelStats[shortModelName].sizeFromManifest = ((_b = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b.byteLength) || 0; + if (artifacts) + model23.loadSync(artifacts); + else + model23 = await tf4.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); + modelStats[shortModelName].sizeLoadedWeights = ((_d = (_c = model23.artifacts) == null ? void 0 : _c.weightData) == null ? void 0 : _d.byteLength) || 0; + if (options.verbose) + log("load:", { model: shortModelName, url: model23["modelUrl"], bytes: modelStats[shortModelName].sizeLoadedWeights }); + loaded = true; + } catch (err) { + log("error loading model:", modelUrl, err); + } + if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { + try { + const saveResult = await model23.save(cachedModelName); + if (options.debug) + log("model saved:", cachedModelName, saveResult); + } catch (err) { + log("error saving model:", modelUrl, err); + } + } + return model23; +} + +// package.json +var version2 = "3.0.6"; + +// src/tfjs/backend.ts +var tf7 = __toESM(require_tfjs_esm()); + +// src/tfjs/humangl.ts +var tf5 = __toESM(require_tfjs_esm()); +var config2 = { + name: "humangl", + priority: 999, + canvas: null, + gl: null, + extensions: [], + webGLattr: { + // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2 + alpha: false, + antialias: false, + premultipliedAlpha: false, + preserveDrawingBuffer: false, + depth: false, + stencil: false, + failIfMajorPerformanceCaveat: false, + // default=true + desynchronized: true + // default=undefined + } +}; +function extensions() { + const gl = config2.gl; + if (!gl) + return; + config2.extensions = gl.getSupportedExtensions(); +} +function register(instance) { + var _a; + if (instance.config.backend !== "humangl") + return; + if (config2.name in tf5.engine().registry && !((_a = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a.getParameter(config2.gl.VERSION))) { + log("humangl error: backend invalid context"); + instance.models.reset(); + } + if (!tf5.findBackend(config2.name)) { + try { + config2.canvas = canvas(100, 100); + } catch (err) { + log("humangl error: cannot create canvas:", err); + return; + } + try { + config2.gl = config2.canvas.getContext("webgl2", config2.webGLattr); + if (!config2.gl) { + log("humangl error: cannot get webgl context"); + return; + } + const glv2 = config2.gl.getParameter(config2.gl.VERSION).includes("2.0"); + if (!glv2) { + log("backend override: using fallback webgl backend as webgl 2.0 is not detected"); + instance.config.backend = "webgl"; + return; + } + if (config2.canvas) { + config2.canvas.addEventListener("webglcontextlost", (e) => { + log("humangl error:", e.type); + log("possible browser memory leak using webgl or conflict with multiple backend registrations"); + instance.emit("error"); + throw new Error("backend error: webgl context lost"); + }); + config2.canvas.addEventListener("webglcontextrestored", (e) => { + log("humangl error: context restored:", e); + }); + config2.canvas.addEventListener("webglcontextcreationerror", (e) => { + log("humangl error: context create:", e); + }); + } + } catch (err) { + log("humangl error: cannot get webgl context:", err); + return; + } + try { + tf5.setWebGLContext(2, config2.gl); + } catch (err) { + log("humangl error: cannot set webgl context:", err); + return; + } + try { + const ctx = new tf5.GPGPUContext(config2.gl); + tf5.registerBackend(config2.name, () => new tf5.MathBackendWebGL(ctx), config2.priority); + } catch (err) { + log("humangl error: cannot register webgl backend:", err); + return; + } + try { + const kernels = tf5.getKernelsForBackend("webgl"); + kernels.forEach((kernelConfig) => { + const newKernelConfig = { ...kernelConfig, backendName: config2.name }; + tf5.registerKernel(newKernelConfig); + }); + } catch (err) { + log("humangl error: cannot update webgl backend registration:", err); + return; + } + try { + if (tf5.env().flagRegistry.WEBGL_VERSION) + tf5.env().set("WEBGL_VERSION", 2); + } catch (err) { + log("humangl error: cannot set WebGL backend flags:", err); + return; + } + extensions(); + const backend4 = tf5.backend(); + const current = typeof backend4["gpgpu"] !== "undefined" ? backend4["getGPGPUContext"]().gl : null; + if (current) { + if (instance.config.debug) + log("humangl backend registered:", { webgl: current.getParameter(current.VERSION), renderer: current.getParameter(current.RENDERER) }); + } else { + log("humangl error: no current gl context:", current, config2.gl); + } + } +} + +// src/tfjs/constants.ts +var tf6 = __toESM(require_tfjs_esm()); +var constants = { + tf255: 255, + tf1: 1, + tf2: 2, + tf05: 0.5, + tf127: 127.5, + rgb: [0.2989, 0.587, 0.114] +}; +function init() { + constants.tf255 = tf6.scalar(255, "float32"); + constants.tf1 = tf6.scalar(1, "float32"); + constants.tf2 = tf6.scalar(2, "float32"); + constants.tf05 = tf6.scalar(0.5, "float32"); + constants.tf127 = tf6.scalar(127.5, "float32"); + constants.rgb = tf6.tensor1d([0.2989, 0.587, 0.114], "float32"); +} + +// src/tfjs/backend.ts +async function getBestBackend() { + var _a; + await env.updateBackend(); + if ((_a = env.tensorflow) == null ? void 0 : _a.version) + return "tensorflow"; + if (env.webgpu.supported && env.webgpu.backend) + return "webgpu"; + if (env.webgl.supported && env.webgl.backend) + return "webgl"; + if (env.wasm.supported && env.wasm.backend) + return "wasm"; + return "cpu"; +} +function registerCustomOps(config3) { + const newKernels = []; + if (!env.kernels.includes("mod")) { + const kernelMod = { + kernelName: "Mod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.sub(op.inputs.a, tf7.mul(tf7.div(op.inputs.a, op.inputs.b), op.inputs.b))) + }; + tf7.registerKernel(kernelMod); + env.kernels.push("mod"); + newKernels.push("mod"); + } + if (!env.kernels.includes("floormod")) { + const kernelFloorMod = { + kernelName: "FloorMod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.add(tf7.mul(tf7.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tf7.mod(op.inputs.a, op.inputs.b))) + }; + tf7.registerKernel(kernelFloorMod); + env.kernels.push("floormod"); + newKernels.push("floormod"); + } + if (!env.kernels.includes("rotatewithoffset") && config3.softwareKernels) { + const kernelRotateWithOffset = { + kernelName: "RotateWithOffset", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => { + const backend4 = tf7.getBackend(); + tf7.setBackend("cpu"); + const t2 = tf7.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center); + tf7.setBackend(backend4); + return t2; + }) + }; + tf7.registerKernel(kernelRotateWithOffset); + env.kernels.push("rotatewithoffset"); + newKernels.push("rotatewithoffset"); + } + if (newKernels.length > 0 && config3.debug) + log("registered kernels:", newKernels); +} +var defaultFlags = {}; +async function check(instance, force = false) { + var _a, _b; + instance.state = "backend"; + if (((_a = instance.config.backend) == null ? void 0 : _a.length) === 0) + instance.config.backend = await getBestBackend(); + if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && tf7.getBackend() !== instance.config.backend) { + const timeStamp = now(); + if (instance.config.backend && instance.config.backend.length > 0) { + if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) { + if (instance.config.debug) + log("running inside web worker"); + } + if (typeof navigator !== "undefined" && ((_b = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b.toLowerCase().includes("electron"))) { + if (instance.config.debug) + log("running inside electron"); + } + let available = Object.keys(tf7.engine().registryFactory); + if (instance.config.backend === "humangl" && !available.includes("humangl")) { + register(instance); + available = Object.keys(tf7.engine().registryFactory); + } + if (instance.config.debug) + log("available backends:", available); + if (env.browser && !env.node && instance.config.backend === "tensorflow" && available.includes("webgl")) { + if (instance.config.debug) + log("override: backend set to tensorflow while running in browser"); + instance.config.backend = "webgl"; + } + if (env.node && !env.browser && (instance.config.backend === "webgl" || instance.config.backend === "humangl") && available.includes("tensorflow")) { + if (instance.config.debug) + log(`override: backend set to ${instance.config.backend} while running in nodejs`); + instance.config.backend = "tensorflow"; + } + if (env.browser && instance.config.backend === "webgpu") { + if (typeof navigator === "undefined" || typeof navigator.gpu === "undefined") { + log("override: backend set to webgpu but browser does not support webgpu"); + instance.config.backend = "webgl"; + } else { + const adapter = await navigator.gpu.requestAdapter(); + if (instance.config.debug) + log("enumerated webgpu adapter:", adapter); + if (!adapter) { + log("override: backend set to webgpu but browser reports no available gpu"); + instance.config.backend = "webgl"; + } else { + const adapterInfo = "requestAdapterInfo" in adapter ? await adapter.requestAdapterInfo() : void 0; + log("webgpu adapter info:", adapterInfo); + } + } + } + if (!available.includes(instance.config.backend)) { + log(`error: backend ${instance.config.backend} not found in registry`); + instance.config.backend = env.node ? "tensorflow" : "webgl"; + if (instance.config.debug) + log(`override: setting backend ${instance.config.backend}`); + } + if (instance.config.debug) + log("setting backend:", [instance.config.backend]); + if (instance.config.backend === "wasm") { + if (tf7.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) + tf7.env().set("CANVAS2D_WILL_READ_FREQUENTLY", true); + if (instance.config.debug) + log("wasm path:", instance.config.wasmPath); + if (typeof tf7.setWasmPaths !== "undefined") + tf7.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch); + else + throw new Error("backend error: attempting to use wasm backend but wasm path is not set"); + let mt = false; + let simd = false; + try { + mt = await tf7.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + simd = await tf7.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + if (instance.config.debug) + log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`); + if (instance.config.debug && !simd) + log("warning: wasm simd support is not enabled"); + } catch (e) { + log("wasm detection failed"); + } + } + try { + await tf7.setBackend(instance.config.backend); + await tf7.ready(); + } catch (err) { + log("error: cannot set backend:", instance.config.backend, err); + return false; + } + if (instance.config.debug) + defaultFlags = JSON.parse(JSON.stringify(tf7.env().flags)); + } + if (tf7.getBackend() === "humangl" || tf7.getBackend() === "webgl") { + if (tf7.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf7.env().set("WEBGL_USE_SHAPES_UNIFORMS", true); + if (tf7.env().flagRegistry.WEBGL_EXP_CONV) + tf7.env().set("WEBGL_EXP_CONV", true); + if (instance.config.debug && typeof instance.config.deallocate !== "undefined" && instance.config.deallocate) { + log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true); + tf7.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); + } + } + if (tf7.getBackend() === "webgpu") { + } + if (instance.config.debug) { + const newFlags = tf7.env().flags; + const updatedFlags = {}; + for (const key of Object.keys(newFlags)) { + if (defaultFlags[key] === newFlags[key]) + continue; + updatedFlags[key] = newFlags[key]; + } + if (instance.config.debug && Object.keys(updatedFlags).length > 0) + log("backend:", tf7.getBackend(), "flags:", updatedFlags); + } + if (instance.config.flags && Object.keys(instance.config.flags).length > 0) { + if (instance.config.debug) + log("flags:", instance.config["flags"]); + for (const [key, val] of Object.entries(instance.config.flags)) { + tf7.env().set(key, val); + } + } + tf7.enableProdMode(); + init(); + instance.performance.initBackend = Math.trunc(now() - timeStamp); + instance.config.backend = tf7.getBackend(); + await env.updateBackend(); + registerCustomOps(instance.config); + } + return true; +} +function fakeOps(kernelNames, config3) { + for (const kernelName of kernelNames) { + const kernelConfig = { + kernelName, + backendName: config3.backend, + kernelFunc: (param) => { + var _a; + if (config3.debug) + log("kernelFunc", kernelName, config3.backend, param); + return (_a = param == null ? void 0 : param.inputs) == null ? void 0 : _a.info; + } + // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + }; + tf7.registerKernel(kernelConfig); + } + env.kernels = tf7.getKernelsForBackend(tf7.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); +} + +// src/draw/draw.ts +var draw_exports = {}; +__export(draw_exports, { + all: () => all, + body: () => body, + canvas: () => canvas2, + face: () => face, + gesture: () => gesture, + hand: () => hand, + init: () => init2, + object: () => object, + options: () => options2, + person: () => person +}); + +// src/draw/primitives.ts +var getCanvasContext = (input) => { + if (!input) + log("draw error: invalid canvas"); + else if (!input.getContext) + log("draw error: canvas context not defined"); + else { + const ctx = input.getContext("2d"); + if (!ctx) + log("draw error: cannot get canvas context"); + else + return ctx; + } + return null; +}; +var rad2deg = (theta) => Math.round(theta * 180 / Math.PI); +var replace = (str, source, target) => str.replace(source, typeof target === "number" ? target.toFixed(1) : target); +var colorDepth = (z, opt) => { + if (!opt.useDepth || typeof z === "undefined") + return opt.color; + const rgb3 = Uint8ClampedArray.from([127 + 2 * z, 127 - 2 * z, 255]); + return `rgba(${rgb3[0]}, ${rgb3[1]}, ${rgb3[2]}, ${opt.alpha})`; +}; +function labels(ctx, str, startX, startY, localOptions2) { + const line = str.replace(/\[.*\]/g, "").split("\n").map((l) => l.trim()); + const x = Math.max(0, startX); + for (let i = line.length - 1; i >= 0; i--) { + const y = i * localOptions2.lineHeight + startY; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(line[i], x + 5, y + 16); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(line[i], x + 4, y + 15); + } +} +function point(ctx, x, y, z, localOptions2) { + ctx.fillStyle = colorDepth(z, localOptions2); + ctx.beginPath(); + ctx.arc(x, y, localOptions2.pointSize, 0, 2 * Math.PI); + ctx.fill(); +} +function rect(ctx, x, y, width, height, localOptions2) { + ctx.beginPath(); + ctx.lineWidth = localOptions2.lineWidth; + if (localOptions2.useCurves) { + const cx = (x + x + width) / 2; + const cy = (y + y + height) / 2; + ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI); + } else { + ctx.moveTo(x + localOptions2.roundRect, y); + ctx.lineTo(x + width - localOptions2.roundRect, y); + ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions2.roundRect); + ctx.lineTo(x + width, y + height - localOptions2.roundRect); + ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions2.roundRect, y + height); + ctx.lineTo(x + localOptions2.roundRect, y + height); + ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions2.roundRect); + ctx.lineTo(x, y + localOptions2.roundRect); + ctx.quadraticCurveTo(x, y, x + localOptions2.roundRect, y); + ctx.closePath(); + } + ctx.stroke(); +} +function lines(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.beginPath(); + ctx.moveTo(points[0][0], points[0][1]); + for (const pt of points) { + ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions2); + ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1])); + } + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function curves(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.lineWidth = localOptions2.lineWidth; + if (!localOptions2.useCurves || points.length <= 2) { + lines(ctx, points, localOptions2); + return; + } + ctx.moveTo(points[0][0], points[0][1]); + for (let i = 0; i < points.length - 2; i++) { + const xc = (points[i][0] + points[i + 1][0]) / 2; + const yc = (points[i][1] + points[i + 1][1]) / 2; + ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc); + } + ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]); + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function arrow(ctx, from, to, radius = 5) { + let angle; + let x; + let y; + ctx.beginPath(); + ctx.moveTo(from[0], from[1]); + ctx.lineTo(to[0], to[1]); + angle = Math.atan2(to[1] - from[1], to[0] - from[0]); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.moveTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + ctx.closePath(); + ctx.stroke(); + ctx.fill(); +} + +// src/draw/options.ts +var options2 = { + color: "rgba(173, 216, 230, 0.6)", + // 'lightblue' with light alpha channel + labelColor: "rgba(173, 216, 230, 1)", + // 'lightblue' with dark alpha channel + shadowColor: "black", + alpha: 0.5, + font: 'small-caps 16px "Segoe UI"', + lineHeight: 18, + lineWidth: 4, + pointSize: 2, + roundRect: 8, + drawPoints: false, + drawLabels: true, + drawBoxes: true, + drawAttention: true, + drawGestures: true, + drawPolygons: true, + drawGaze: true, + fillPolygons: false, + useDepth: true, + useCurves: false, + faceLabels: "", + bodyLabels: "", + bodyPartLabels: "", + objectLabels: "", + handLabels: "", + fingerLabels: "", + gestureLabels: "" +}; + +// src/face/facemeshcoords.ts +var meshAnnotations = { + silhouette: [ + 10, + 338, + 297, + 332, + 284, + 251, + 389, + 356, + 454, + 323, + 361, + 288, + 397, + 365, + 379, + 378, + 400, + 377, + 152, + 148, + 176, + 149, + 150, + 136, + 172, + 58, + 132, + 93, + 234, + 127, + 162, + 21, + 54, + 103, + 67, + 109 + ], + // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11 + // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10 + // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11 + // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11 + lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409], + lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291], + lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415], + lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], + lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306], + lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408], + lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292], + lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407], + rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], + // 7 + rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], + // 9 + rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], + // 7 + rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], + // 9 + rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], + // 7 + rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], + // 9 + rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], + // 9 + rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], + // 8 + rightEyebrowLower: [35, 124, 46, 53, 52, 65], + // 6 + rightEyeIris: [473, 474, 475, 476, 477], + // 5 + leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398], + leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362], + leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414], + leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463], + leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413], + leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464], + leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465], + leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417], + leftEyebrowLower: [265, 353, 276, 283, 282, 295], + leftEyeIris: [468, 469, 470, 471, 472], + midwayBetweenEyes: [168], + noseTip: [1], + noseBottom: [2], + noseRightCorner: [98], + noseLeftCorner: [327], + rightCheek: [205], + leftCheek: [425] +}; +var meshLandmarks = { + count: 468, + mouth: 13, + symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]] +}; +var blazeFaceLandmarks = { + leftEye: 0, + rightEye: 1, + nose: 2, + mouth: 3, + leftEar: 4, + rightEar: 5, + symmetryLine: [3, 2] +}; +var irisIndices = [ + // A mapping from facemesh model keypoints to iris model keypoints. + { key: "EyeUpper0", indices: [9, 10, 11, 12, 13, 14, 15] }, + // 7 x 3d + { key: "EyeUpper1", indices: [25, 26, 27, 28, 29, 30, 31] }, + // 7 x 3d + { key: "EyeUpper2", indices: [41, 42, 43, 44, 45, 46, 47] }, + // 7 x 3d + { key: "EyeLower0", indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, + // 7 x 3d + { key: "EyeLower1", indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, + // 9 x 3d + { key: "EyeLower2", indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, + // 9 x 3d + { key: "EyeLower3", indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, + // 9 x 3d + { key: "EyebrowUpper", indices: [63, 64, 65, 66, 67, 68, 69, 70] }, + // 8 x 3d + { key: "EyebrowLower", indices: [48, 49, 50, 51, 52, 53] } + // 6 x 3d +]; +var UV468 = [ + [0.499976992607117, 0.652534008026123], + [0.500025987625122, 0.547487020492554], + [0.499974012374878, 0.602371990680695], + [0.482113003730774, 0.471979022026062], + [0.500150978565216, 0.527155995368958], + [0.499909996986389, 0.498252987861633], + [0.499523013830185, 0.40106201171875], + [0.289712011814117, 0.380764007568359], + [0.499954998493195, 0.312398016452789], + [0.499987006187439, 0.269918978214264], + [0.500023007392883, 0.107050001621246], + [0.500023007392883, 0.666234016418457], + [0.5000159740448, 0.679224014282227], + [0.500023007392883, 0.692348003387451], + [0.499976992607117, 0.695277988910675], + [0.499976992607117, 0.70593398809433], + [0.499976992607117, 0.719385027885437], + [0.499976992607117, 0.737019002437592], + [0.499967992305756, 0.781370997428894], + [0.499816000461578, 0.562981009483337], + [0.473773002624512, 0.573909997940063], + [0.104906998574734, 0.254140973091125], + [0.365929991006851, 0.409575998783112], + [0.338757991790771, 0.41302502155304], + [0.311120003461838, 0.409460008144379], + [0.274657994508743, 0.389131009578705], + [0.393361985683441, 0.403706014156342], + [0.345234006643295, 0.344011008739471], + [0.370094001293182, 0.346076011657715], + [0.319321990013123, 0.347265005111694], + [0.297903001308441, 0.353591024875641], + [0.24779200553894, 0.410809993743896], + [0.396889001131058, 0.842755019664764], + [0.280097991228104, 0.375599980354309], + [0.106310002505779, 0.399955987930298], + [0.2099249958992, 0.391353011131287], + [0.355807989835739, 0.534406006336212], + [0.471751004457474, 0.65040397644043], + [0.474155008792877, 0.680191993713379], + [0.439785003662109, 0.657229006290436], + [0.414617002010345, 0.66654098033905], + [0.450374007225037, 0.680860996246338], + [0.428770989179611, 0.682690978050232], + [0.374971002340317, 0.727805018424988], + [0.486716985702515, 0.547628998756409], + [0.485300987958908, 0.527395009994507], + [0.257764995098114, 0.314490020275116], + [0.401223003864288, 0.455172002315521], + [0.429818987846375, 0.548614978790283], + [0.421351999044418, 0.533740997314453], + [0.276895999908447, 0.532056987285614], + [0.483370006084442, 0.499586999416351], + [0.33721199631691, 0.282882988452911], + [0.296391993761063, 0.293242990970612], + [0.169294998049736, 0.193813979625702], + [0.447580009698868, 0.302609980106354], + [0.392390012741089, 0.353887975215912], + [0.354490011930466, 0.696784019470215], + [0.067304998636246, 0.730105042457581], + [0.442739009857178, 0.572826027870178], + [0.457098007202148, 0.584792017936707], + [0.381974011659622, 0.694710969924927], + [0.392388999462128, 0.694203019142151], + [0.277076005935669, 0.271932005882263], + [0.422551989555359, 0.563233017921448], + [0.385919004678726, 0.281364023685455], + [0.383103013038635, 0.255840003490448], + [0.331431001424789, 0.119714021682739], + [0.229923993349075, 0.232002973556519], + [0.364500999450684, 0.189113974571228], + [0.229622006416321, 0.299540996551514], + [0.173287004232407, 0.278747975826263], + [0.472878992557526, 0.666198015213013], + [0.446828007698059, 0.668527007102966], + [0.422762006521225, 0.673889994621277], + [0.445307999849319, 0.580065965652466], + [0.388103008270264, 0.693961024284363], + [0.403039008378983, 0.706539988517761], + [0.403629004955292, 0.693953037261963], + [0.460041999816895, 0.557139039039612], + [0.431158006191254, 0.692366003990173], + [0.452181994915009, 0.692366003990173], + [0.475387006998062, 0.692366003990173], + [0.465828001499176, 0.779190003871918], + [0.472328990697861, 0.736225962638855], + [0.473087012767792, 0.717857003211975], + [0.473122000694275, 0.704625964164734], + [0.473033010959625, 0.695277988910675], + [0.427942007780075, 0.695277988910675], + [0.426479011774063, 0.703539967536926], + [0.423162013292313, 0.711845993995667], + [0.4183090031147, 0.720062971115112], + [0.390094995498657, 0.639572978019714], + [0.013953999616206, 0.560034036636353], + [0.499913990497589, 0.58014702796936], + [0.413199990987778, 0.69539999961853], + [0.409626007080078, 0.701822996139526], + [0.468080013990402, 0.601534962654114], + [0.422728985548019, 0.585985004901886], + [0.463079988956451, 0.593783974647522], + [0.37211999297142, 0.47341400384903], + [0.334562003612518, 0.496073007583618], + [0.411671012639999, 0.546965003013611], + [0.242175996303558, 0.14767599105835], + [0.290776997804642, 0.201445996761322], + [0.327338010072708, 0.256527006626129], + [0.399509996175766, 0.748921036720276], + [0.441727995872498, 0.261676013469696], + [0.429764986038208, 0.187834024429321], + [0.412198007106781, 0.108901023864746], + [0.288955003023148, 0.398952007293701], + [0.218936994671822, 0.435410976409912], + [0.41278201341629, 0.398970007896423], + [0.257135003805161, 0.355440020561218], + [0.427684992551804, 0.437960982322693], + [0.448339998722076, 0.536936044692993], + [0.178560003638268, 0.45755398273468], + [0.247308000922203, 0.457193970680237], + [0.286267012357712, 0.467674970626831], + [0.332827985286713, 0.460712015628815], + [0.368755996227264, 0.447206974029541], + [0.398963987827301, 0.432654976844788], + [0.476410001516342, 0.405806005001068], + [0.189241006970406, 0.523923993110657], + [0.228962004184723, 0.348950982093811], + [0.490725994110107, 0.562400996685028], + [0.404670000076294, 0.485132992267609], + [0.019469000399113, 0.401564002037048], + [0.426243007183075, 0.420431017875671], + [0.396993011236191, 0.548797011375427], + [0.266469985246658, 0.376977026462555], + [0.439121007919312, 0.51895797252655], + [0.032313998788595, 0.644356966018677], + [0.419054001569748, 0.387154996395111], + [0.462783008813858, 0.505746960639954], + [0.238978996872902, 0.779744982719421], + [0.198220998048782, 0.831938028335571], + [0.107550002634525, 0.540755033493042], + [0.183610007166862, 0.740257024765015], + [0.134409993886948, 0.333683013916016], + [0.385764002799988, 0.883153975009918], + [0.490967005491257, 0.579378008842468], + [0.382384985685349, 0.508572995662689], + [0.174399003386497, 0.397670984268188], + [0.318785011768341, 0.39623498916626], + [0.343364000320435, 0.400596976280212], + [0.396100014448166, 0.710216999053955], + [0.187885001301765, 0.588537991046906], + [0.430987000465393, 0.944064974784851], + [0.318993002176285, 0.898285031318665], + [0.266247987747192, 0.869701027870178], + [0.500023007392883, 0.190576016902924], + [0.499976992607117, 0.954452991485596], + [0.366169989109039, 0.398822009563446], + [0.393207013607025, 0.39553701877594], + [0.410373002290726, 0.391080021858215], + [0.194993004202843, 0.342101991176605], + [0.388664990663528, 0.362284004688263], + [0.365961998701096, 0.355970978736877], + [0.343364000320435, 0.355356991291046], + [0.318785011768341, 0.35834002494812], + [0.301414996385574, 0.363156020641327], + [0.058132998645306, 0.319076001644135], + [0.301414996385574, 0.387449026107788], + [0.499987989664078, 0.618434011936188], + [0.415838003158569, 0.624195992946625], + [0.445681989192963, 0.566076993942261], + [0.465844005346298, 0.620640993118286], + [0.49992299079895, 0.351523995399475], + [0.288718998432159, 0.819945991039276], + [0.335278987884521, 0.852819979190826], + [0.440512001514435, 0.902418971061707], + [0.128294005990028, 0.791940987110138], + [0.408771991729736, 0.373893976211548], + [0.455606997013092, 0.451801002025604], + [0.499877005815506, 0.908990025520325], + [0.375436991453171, 0.924192011356354], + [0.11421000212431, 0.615022003650665], + [0.448662012815475, 0.695277988910675], + [0.4480200111866, 0.704632043838501], + [0.447111994028091, 0.715808033943176], + [0.444831997156143, 0.730794012546539], + [0.430011987686157, 0.766808986663818], + [0.406787008047104, 0.685672998428345], + [0.400738000869751, 0.681069016456604], + [0.392399996519089, 0.677703022956848], + [0.367855995893478, 0.663918972015381], + [0.247923001646996, 0.601333022117615], + [0.452769994735718, 0.420849978923798], + [0.43639200925827, 0.359887003898621], + [0.416164010763168, 0.368713974952698], + [0.413385987281799, 0.692366003990173], + [0.228018000721931, 0.683571994304657], + [0.468268007040024, 0.352671027183533], + [0.411361992359161, 0.804327011108398], + [0.499989002943039, 0.469825029373169], + [0.479153990745544, 0.442654013633728], + [0.499974012374878, 0.439637005329132], + [0.432112008333206, 0.493588984012604], + [0.499886006116867, 0.866917014122009], + [0.49991300702095, 0.821729004383087], + [0.456548988819122, 0.819200992584229], + [0.344549000263214, 0.745438992977142], + [0.37890899181366, 0.574010014533997], + [0.374292999505997, 0.780184984207153], + [0.319687992334366, 0.570737957954407], + [0.357154995203018, 0.604269981384277], + [0.295284003019333, 0.621580958366394], + [0.447750002145767, 0.862477004528046], + [0.410986006259918, 0.508723020553589], + [0.31395098567009, 0.775308012962341], + [0.354128003120422, 0.812552988529205], + [0.324548006057739, 0.703992962837219], + [0.189096003770828, 0.646299958229065], + [0.279776990413666, 0.71465802192688], + [0.1338230073452, 0.682700991630554], + [0.336768001317978, 0.644733011722565], + [0.429883986711502, 0.466521978378296], + [0.455527991056442, 0.548622965812683], + [0.437114000320435, 0.558896005153656], + [0.467287987470627, 0.529924988746643], + [0.414712011814117, 0.335219979286194], + [0.37704598903656, 0.322777986526489], + [0.344107985496521, 0.320150971412659], + [0.312875986099243, 0.32233202457428], + [0.283526003360748, 0.333190023899078], + [0.241245999932289, 0.382785975933075], + [0.102986000478268, 0.468762993812561], + [0.267612010240555, 0.424560010433197], + [0.297879010438919, 0.433175981044769], + [0.333433985710144, 0.433878004550934], + [0.366427004337311, 0.426115989685059], + [0.396012008190155, 0.416696012020111], + [0.420121014118195, 0.41022801399231], + [0.007561000064015, 0.480777025222778], + [0.432949006557465, 0.569517970085144], + [0.458638995885849, 0.479089021682739], + [0.473466008901596, 0.545744001865387], + [0.476087987422943, 0.563830018043518], + [0.468472003936768, 0.555056989192963], + [0.433990985155106, 0.582361996173859], + [0.483518004417419, 0.562983989715576], + [0.482482999563217, 0.57784903049469], + [0.42645001411438, 0.389798998832703], + [0.438998997211456, 0.39649498462677], + [0.450067013502121, 0.400434017181396], + [0.289712011814117, 0.368252992630005], + [0.276670008897781, 0.363372981548309], + [0.517862021923065, 0.471948027610779], + [0.710287988185883, 0.380764007568359], + [0.526226997375488, 0.573909997940063], + [0.895093023777008, 0.254140973091125], + [0.634069979190826, 0.409575998783112], + [0.661242008209229, 0.41302502155304], + [0.688880026340485, 0.409460008144379], + [0.725341975688934, 0.389131009578705], + [0.606630027294159, 0.40370500087738], + [0.654766023159027, 0.344011008739471], + [0.629905998706818, 0.346076011657715], + [0.680678009986877, 0.347265005111694], + [0.702096998691559, 0.353591024875641], + [0.75221198797226, 0.410804986953735], + [0.602918028831482, 0.842862963676453], + [0.719901978969574, 0.375599980354309], + [0.893692970275879, 0.399959981441498], + [0.790081977844238, 0.391354024410248], + [0.643998026847839, 0.534487962722778], + [0.528249025344849, 0.65040397644043], + [0.525849997997284, 0.680191040039062], + [0.560214996337891, 0.657229006290436], + [0.585384011268616, 0.66654098033905], + [0.549625992774963, 0.680860996246338], + [0.57122802734375, 0.682691991329193], + [0.624852001667023, 0.72809898853302], + [0.513050019741058, 0.547281980514526], + [0.51509702205658, 0.527251958847046], + [0.742246985435486, 0.314507007598877], + [0.598631024360657, 0.454979002475739], + [0.570338010787964, 0.548575043678284], + [0.578631997108459, 0.533622980117798], + [0.723087012767792, 0.532054007053375], + [0.516445994377136, 0.499638974666595], + [0.662801027297974, 0.282917976379395], + [0.70362401008606, 0.293271005153656], + [0.830704987049103, 0.193813979625702], + [0.552385985851288, 0.302568018436432], + [0.607609987258911, 0.353887975215912], + [0.645429015159607, 0.696707010269165], + [0.932694971561432, 0.730105042457581], + [0.557260990142822, 0.572826027870178], + [0.542901992797852, 0.584792017936707], + [0.6180260181427, 0.694710969924927], + [0.607590973377228, 0.694203019142151], + [0.722943007946014, 0.271963000297546], + [0.577413976192474, 0.563166975975037], + [0.614082992076874, 0.281386971473694], + [0.616907000541687, 0.255886018276215], + [0.668509006500244, 0.119913995265961], + [0.770092010498047, 0.232020974159241], + [0.635536015033722, 0.189248979091644], + [0.77039098739624, 0.299556016921997], + [0.826722025871277, 0.278755009174347], + [0.527121007442474, 0.666198015213013], + [0.553171992301941, 0.668527007102966], + [0.577238023281097, 0.673889994621277], + [0.554691970348358, 0.580065965652466], + [0.611896991729736, 0.693961024284363], + [0.59696102142334, 0.706539988517761], + [0.596370995044708, 0.693953037261963], + [0.539958000183105, 0.557139039039612], + [0.568841993808746, 0.692366003990173], + [0.547818005084991, 0.692366003990173], + [0.52461302280426, 0.692366003990173], + [0.534089982509613, 0.779141008853912], + [0.527670979499817, 0.736225962638855], + [0.526912987232208, 0.717857003211975], + [0.526877999305725, 0.704625964164734], + [0.526966989040375, 0.695277988910675], + [0.572058022022247, 0.695277988910675], + [0.573521018028259, 0.703539967536926], + [0.57683801651001, 0.711845993995667], + [0.581691026687622, 0.720062971115112], + [0.609944999217987, 0.639909982681274], + [0.986046016216278, 0.560034036636353], + [0.5867999792099, 0.69539999961853], + [0.590372025966644, 0.701822996139526], + [0.531915009021759, 0.601536989212036], + [0.577268004417419, 0.585934996604919], + [0.536915004253387, 0.593786001205444], + [0.627542972564697, 0.473352015018463], + [0.665585994720459, 0.495950996875763], + [0.588353991508484, 0.546862006187439], + [0.757824003696442, 0.14767599105835], + [0.709249973297119, 0.201507985591888], + [0.672684013843536, 0.256581008434296], + [0.600408971309662, 0.74900496006012], + [0.55826598405838, 0.261672019958496], + [0.570303976535797, 0.187870979309082], + [0.588165998458862, 0.109044015407562], + [0.711045026779175, 0.398952007293701], + [0.781069993972778, 0.435405015945435], + [0.587247014045715, 0.398931980133057], + [0.742869973182678, 0.355445981025696], + [0.572156012058258, 0.437651991844177], + [0.55186802148819, 0.536570012569427], + [0.821442008018494, 0.457556009292603], + [0.752701997756958, 0.457181990146637], + [0.71375697851181, 0.467626988887787], + [0.66711300611496, 0.460672974586487], + [0.631101012229919, 0.447153985500336], + [0.6008620262146, 0.432473003864288], + [0.523481011390686, 0.405627012252808], + [0.810747981071472, 0.523926019668579], + [0.771045982837677, 0.348959028720856], + [0.509127020835876, 0.562718033790588], + [0.595292985439301, 0.485023975372314], + [0.980530977249146, 0.401564002037048], + [0.573499977588654, 0.420000016689301], + [0.602994978427887, 0.548687994480133], + [0.733529984951019, 0.376977026462555], + [0.560611009597778, 0.519016981124878], + [0.967685997486115, 0.644356966018677], + [0.580985009670258, 0.387160003185272], + [0.537728011608124, 0.505385041236877], + [0.760966002941132, 0.779752969741821], + [0.801778972148895, 0.831938028335571], + [0.892440974712372, 0.54076099395752], + [0.816350996494293, 0.740260004997253], + [0.865594983100891, 0.333687007427216], + [0.614073991775513, 0.883246004581451], + [0.508952975273132, 0.579437971115112], + [0.617941975593567, 0.508316040039062], + [0.825608015060425, 0.397674977779388], + [0.681214988231659, 0.39623498916626], + [0.656635999679565, 0.400596976280212], + [0.603900015354156, 0.710216999053955], + [0.81208598613739, 0.588539004325867], + [0.56801301240921, 0.944564998149872], + [0.681007981300354, 0.898285031318665], + [0.733752012252808, 0.869701027870178], + [0.633830010890961, 0.398822009563446], + [0.606792986392975, 0.39553701877594], + [0.589659988880157, 0.391062021255493], + [0.805015981197357, 0.342108011245728], + [0.611334979534149, 0.362284004688263], + [0.634037971496582, 0.355970978736877], + [0.656635999679565, 0.355356991291046], + [0.681214988231659, 0.35834002494812], + [0.698584973812103, 0.363156020641327], + [0.941866993904114, 0.319076001644135], + [0.698584973812103, 0.387449026107788], + [0.584177017211914, 0.624107003211975], + [0.554318010807037, 0.566076993942261], + [0.534153997898102, 0.62064003944397], + [0.711217999458313, 0.819975018501282], + [0.664629995822906, 0.852871000766754], + [0.559099972248077, 0.902631998062134], + [0.871706008911133, 0.791940987110138], + [0.591234028339386, 0.373893976211548], + [0.544341027736664, 0.451583981513977], + [0.624562978744507, 0.924192011356354], + [0.88577002286911, 0.615028977394104], + [0.551338016986847, 0.695277988910675], + [0.551980018615723, 0.704632043838501], + [0.552887976169586, 0.715808033943176], + [0.555167973041534, 0.730794012546539], + [0.569944024085999, 0.767035007476807], + [0.593203008174896, 0.685675978660583], + [0.599261999130249, 0.681069016456604], + [0.607599973678589, 0.677703022956848], + [0.631937980651855, 0.663500010967255], + [0.752032995223999, 0.601315021514893], + [0.547226011753082, 0.420395016670227], + [0.563543975353241, 0.359827995300293], + [0.583841025829315, 0.368713974952698], + [0.586614012718201, 0.692366003990173], + [0.771915018558502, 0.683578014373779], + [0.531597018241882, 0.352482974529266], + [0.588370978832245, 0.804440975189209], + [0.52079701423645, 0.442565023899078], + [0.567984998226166, 0.493479013442993], + [0.543282985687256, 0.819254994392395], + [0.655317008495331, 0.745514988899231], + [0.621008992195129, 0.574018001556396], + [0.625559985637665, 0.78031200170517], + [0.680198013782501, 0.570719003677368], + [0.64276397228241, 0.604337990283966], + [0.704662978649139, 0.621529996395111], + [0.552012026309967, 0.862591981887817], + [0.589071989059448, 0.508637011051178], + [0.685944974422455, 0.775357007980347], + [0.645735025405884, 0.812640011310577], + [0.675342977046967, 0.703978002071381], + [0.810858011245728, 0.646304965019226], + [0.72012197971344, 0.714666962623596], + [0.866151988506317, 0.682704985141754], + [0.663187026977539, 0.644596993923187], + [0.570082008838654, 0.466325998306274], + [0.544561982154846, 0.548375964164734], + [0.562758982181549, 0.558784961700439], + [0.531987011432648, 0.530140042304993], + [0.585271000862122, 0.335177004337311], + [0.622952997684479, 0.32277899980545], + [0.655896008014679, 0.320163011550903], + [0.687132000923157, 0.322345972061157], + [0.716481983661652, 0.333200991153717], + [0.758756995201111, 0.382786989212036], + [0.897013008594513, 0.468769013881683], + [0.732392013072968, 0.424547016620636], + [0.70211398601532, 0.433162987232208], + [0.66652500629425, 0.433866024017334], + [0.633504986763, 0.426087975502014], + [0.603875994682312, 0.416586995124817], + [0.579657971858978, 0.409945011138916], + [0.992439985275269, 0.480777025222778], + [0.567192018032074, 0.569419980049133], + [0.54136598110199, 0.478899002075195], + [0.526564002037048, 0.546118021011353], + [0.523913025856018, 0.563830018043518], + [0.531529009342194, 0.555056989192963], + [0.566035985946655, 0.582329034805298], + [0.51631098985672, 0.563053965568542], + [0.5174720287323, 0.577877044677734], + [0.573594987392426, 0.389806985855103], + [0.560697972774506, 0.395331978797913], + [0.549755990505219, 0.399751007556915], + [0.710287988185883, 0.368252992630005], + [0.723330020904541, 0.363372981548309] +]; +var TRI468 = [ + 127, + 34, + 139, + 11, + 0, + 37, + 232, + 231, + 120, + 72, + 37, + 39, + 128, + 121, + 47, + 232, + 121, + 128, + 104, + 69, + 67, + 175, + 171, + 148, + 157, + 154, + 155, + 118, + 50, + 101, + 73, + 39, + 40, + 9, + 151, + 108, + 48, + 115, + 131, + 194, + 204, + 211, + 74, + 40, + 185, + 80, + 42, + 183, + 40, + 92, + 186, + 230, + 229, + 118, + 202, + 212, + 214, + 83, + 18, + 17, + 76, + 61, + 146, + 160, + 29, + 30, + 56, + 157, + 173, + 106, + 204, + 194, + 135, + 214, + 192, + 203, + 165, + 98, + 21, + 71, + 68, + 51, + 45, + 4, + 144, + 24, + 23, + 77, + 146, + 91, + 205, + 50, + 187, + 201, + 200, + 18, + 91, + 106, + 182, + 90, + 91, + 181, + 85, + 84, + 17, + 206, + 203, + 36, + 148, + 171, + 140, + 92, + 40, + 39, + 193, + 189, + 244, + 159, + 158, + 28, + 247, + 246, + 161, + 236, + 3, + 196, + 54, + 68, + 104, + 193, + 168, + 8, + 117, + 228, + 31, + 189, + 193, + 55, + 98, + 97, + 99, + 126, + 47, + 100, + 166, + 79, + 218, + 155, + 154, + 26, + 209, + 49, + 131, + 135, + 136, + 150, + 47, + 126, + 217, + 223, + 52, + 53, + 45, + 51, + 134, + 211, + 170, + 140, + 67, + 69, + 108, + 43, + 106, + 91, + 230, + 119, + 120, + 226, + 130, + 247, + 63, + 53, + 52, + 238, + 20, + 242, + 46, + 70, + 156, + 78, + 62, + 96, + 46, + 53, + 63, + 143, + 34, + 227, + 173, + 155, + 133, + 123, + 117, + 111, + 44, + 125, + 19, + 236, + 134, + 51, + 216, + 206, + 205, + 154, + 153, + 22, + 39, + 37, + 167, + 200, + 201, + 208, + 36, + 142, + 100, + 57, + 212, + 202, + 20, + 60, + 99, + 28, + 158, + 157, + 35, + 226, + 113, + 160, + 159, + 27, + 204, + 202, + 210, + 113, + 225, + 46, + 43, + 202, + 204, + 62, + 76, + 77, + 137, + 123, + 116, + 41, + 38, + 72, + 203, + 129, + 142, + 64, + 98, + 240, + 49, + 102, + 64, + 41, + 73, + 74, + 212, + 216, + 207, + 42, + 74, + 184, + 169, + 170, + 211, + 170, + 149, + 176, + 105, + 66, + 69, + 122, + 6, + 168, + 123, + 147, + 187, + 96, + 77, + 90, + 65, + 55, + 107, + 89, + 90, + 180, + 101, + 100, + 120, + 63, + 105, + 104, + 93, + 137, + 227, + 15, + 86, + 85, + 129, + 102, + 49, + 14, + 87, + 86, + 55, + 8, + 9, + 100, + 47, + 121, + 145, + 23, + 22, + 88, + 89, + 179, + 6, + 122, + 196, + 88, + 95, + 96, + 138, + 172, + 136, + 215, + 58, + 172, + 115, + 48, + 219, + 42, + 80, + 81, + 195, + 3, + 51, + 43, + 146, + 61, + 171, + 175, + 199, + 81, + 82, + 38, + 53, + 46, + 225, + 144, + 163, + 110, + 246, + 33, + 7, + 52, + 65, + 66, + 229, + 228, + 117, + 34, + 127, + 234, + 107, + 108, + 69, + 109, + 108, + 151, + 48, + 64, + 235, + 62, + 78, + 191, + 129, + 209, + 126, + 111, + 35, + 143, + 163, + 161, + 246, + 117, + 123, + 50, + 222, + 65, + 52, + 19, + 125, + 141, + 221, + 55, + 65, + 3, + 195, + 197, + 25, + 7, + 33, + 220, + 237, + 44, + 70, + 71, + 139, + 122, + 193, + 245, + 247, + 130, + 33, + 71, + 21, + 162, + 153, + 158, + 159, + 170, + 169, + 150, + 188, + 174, + 196, + 216, + 186, + 92, + 144, + 160, + 161, + 2, + 97, + 167, + 141, + 125, + 241, + 164, + 167, + 37, + 72, + 38, + 12, + 145, + 159, + 160, + 38, + 82, + 13, + 63, + 68, + 71, + 226, + 35, + 111, + 158, + 153, + 154, + 101, + 50, + 205, + 206, + 92, + 165, + 209, + 198, + 217, + 165, + 167, + 97, + 220, + 115, + 218, + 133, + 112, + 243, + 239, + 238, + 241, + 214, + 135, + 169, + 190, + 173, + 133, + 171, + 208, + 32, + 125, + 44, + 237, + 86, + 87, + 178, + 85, + 86, + 179, + 84, + 85, + 180, + 83, + 84, + 181, + 201, + 83, + 182, + 137, + 93, + 132, + 76, + 62, + 183, + 61, + 76, + 184, + 57, + 61, + 185, + 212, + 57, + 186, + 214, + 207, + 187, + 34, + 143, + 156, + 79, + 239, + 237, + 123, + 137, + 177, + 44, + 1, + 4, + 201, + 194, + 32, + 64, + 102, + 129, + 213, + 215, + 138, + 59, + 166, + 219, + 242, + 99, + 97, + 2, + 94, + 141, + 75, + 59, + 235, + 24, + 110, + 228, + 25, + 130, + 226, + 23, + 24, + 229, + 22, + 23, + 230, + 26, + 22, + 231, + 112, + 26, + 232, + 189, + 190, + 243, + 221, + 56, + 190, + 28, + 56, + 221, + 27, + 28, + 222, + 29, + 27, + 223, + 30, + 29, + 224, + 247, + 30, + 225, + 238, + 79, + 20, + 166, + 59, + 75, + 60, + 75, + 240, + 147, + 177, + 215, + 20, + 79, + 166, + 187, + 147, + 213, + 112, + 233, + 244, + 233, + 128, + 245, + 128, + 114, + 188, + 114, + 217, + 174, + 131, + 115, + 220, + 217, + 198, + 236, + 198, + 131, + 134, + 177, + 132, + 58, + 143, + 35, + 124, + 110, + 163, + 7, + 228, + 110, + 25, + 356, + 389, + 368, + 11, + 302, + 267, + 452, + 350, + 349, + 302, + 303, + 269, + 357, + 343, + 277, + 452, + 453, + 357, + 333, + 332, + 297, + 175, + 152, + 377, + 384, + 398, + 382, + 347, + 348, + 330, + 303, + 304, + 270, + 9, + 336, + 337, + 278, + 279, + 360, + 418, + 262, + 431, + 304, + 408, + 409, + 310, + 415, + 407, + 270, + 409, + 410, + 450, + 348, + 347, + 422, + 430, + 434, + 313, + 314, + 17, + 306, + 307, + 375, + 387, + 388, + 260, + 286, + 414, + 398, + 335, + 406, + 418, + 364, + 367, + 416, + 423, + 358, + 327, + 251, + 284, + 298, + 281, + 5, + 4, + 373, + 374, + 253, + 307, + 320, + 321, + 425, + 427, + 411, + 421, + 313, + 18, + 321, + 405, + 406, + 320, + 404, + 405, + 315, + 16, + 17, + 426, + 425, + 266, + 377, + 400, + 369, + 322, + 391, + 269, + 417, + 465, + 464, + 386, + 257, + 258, + 466, + 260, + 388, + 456, + 399, + 419, + 284, + 332, + 333, + 417, + 285, + 8, + 346, + 340, + 261, + 413, + 441, + 285, + 327, + 460, + 328, + 355, + 371, + 329, + 392, + 439, + 438, + 382, + 341, + 256, + 429, + 420, + 360, + 364, + 394, + 379, + 277, + 343, + 437, + 443, + 444, + 283, + 275, + 440, + 363, + 431, + 262, + 369, + 297, + 338, + 337, + 273, + 375, + 321, + 450, + 451, + 349, + 446, + 342, + 467, + 293, + 334, + 282, + 458, + 461, + 462, + 276, + 353, + 383, + 308, + 324, + 325, + 276, + 300, + 293, + 372, + 345, + 447, + 382, + 398, + 362, + 352, + 345, + 340, + 274, + 1, + 19, + 456, + 248, + 281, + 436, + 427, + 425, + 381, + 256, + 252, + 269, + 391, + 393, + 200, + 199, + 428, + 266, + 330, + 329, + 287, + 273, + 422, + 250, + 462, + 328, + 258, + 286, + 384, + 265, + 353, + 342, + 387, + 259, + 257, + 424, + 431, + 430, + 342, + 353, + 276, + 273, + 335, + 424, + 292, + 325, + 307, + 366, + 447, + 345, + 271, + 303, + 302, + 423, + 266, + 371, + 294, + 455, + 460, + 279, + 278, + 294, + 271, + 272, + 304, + 432, + 434, + 427, + 272, + 407, + 408, + 394, + 430, + 431, + 395, + 369, + 400, + 334, + 333, + 299, + 351, + 417, + 168, + 352, + 280, + 411, + 325, + 319, + 320, + 295, + 296, + 336, + 319, + 403, + 404, + 330, + 348, + 349, + 293, + 298, + 333, + 323, + 454, + 447, + 15, + 16, + 315, + 358, + 429, + 279, + 14, + 15, + 316, + 285, + 336, + 9, + 329, + 349, + 350, + 374, + 380, + 252, + 318, + 402, + 403, + 6, + 197, + 419, + 318, + 319, + 325, + 367, + 364, + 365, + 435, + 367, + 397, + 344, + 438, + 439, + 272, + 271, + 311, + 195, + 5, + 281, + 273, + 287, + 291, + 396, + 428, + 199, + 311, + 271, + 268, + 283, + 444, + 445, + 373, + 254, + 339, + 263, + 466, + 249, + 282, + 334, + 296, + 449, + 347, + 346, + 264, + 447, + 454, + 336, + 296, + 299, + 338, + 10, + 151, + 278, + 439, + 455, + 292, + 407, + 415, + 358, + 371, + 355, + 340, + 345, + 372, + 390, + 249, + 466, + 346, + 347, + 280, + 442, + 443, + 282, + 19, + 94, + 370, + 441, + 442, + 295, + 248, + 419, + 197, + 263, + 255, + 359, + 440, + 275, + 274, + 300, + 383, + 368, + 351, + 412, + 465, + 263, + 467, + 466, + 301, + 368, + 389, + 380, + 374, + 386, + 395, + 378, + 379, + 412, + 351, + 419, + 436, + 426, + 322, + 373, + 390, + 388, + 2, + 164, + 393, + 370, + 462, + 461, + 164, + 0, + 267, + 302, + 11, + 12, + 374, + 373, + 387, + 268, + 12, + 13, + 293, + 300, + 301, + 446, + 261, + 340, + 385, + 384, + 381, + 330, + 266, + 425, + 426, + 423, + 391, + 429, + 355, + 437, + 391, + 327, + 326, + 440, + 457, + 438, + 341, + 382, + 362, + 459, + 457, + 461, + 434, + 430, + 394, + 414, + 463, + 362, + 396, + 369, + 262, + 354, + 461, + 457, + 316, + 403, + 402, + 315, + 404, + 403, + 314, + 405, + 404, + 313, + 406, + 405, + 421, + 418, + 406, + 366, + 401, + 361, + 306, + 408, + 407, + 291, + 409, + 408, + 287, + 410, + 409, + 432, + 436, + 410, + 434, + 416, + 411, + 264, + 368, + 383, + 309, + 438, + 457, + 352, + 376, + 401, + 274, + 275, + 4, + 421, + 428, + 262, + 294, + 327, + 358, + 433, + 416, + 367, + 289, + 455, + 439, + 462, + 370, + 326, + 2, + 326, + 370, + 305, + 460, + 455, + 254, + 449, + 448, + 255, + 261, + 446, + 253, + 450, + 449, + 252, + 451, + 450, + 256, + 452, + 451, + 341, + 453, + 452, + 413, + 464, + 463, + 441, + 413, + 414, + 258, + 442, + 441, + 257, + 443, + 442, + 259, + 444, + 443, + 260, + 445, + 444, + 467, + 342, + 445, + 459, + 458, + 250, + 289, + 392, + 290, + 290, + 328, + 460, + 376, + 433, + 435, + 250, + 290, + 392, + 411, + 416, + 433, + 341, + 463, + 464, + 453, + 464, + 465, + 357, + 465, + 412, + 343, + 412, + 399, + 360, + 363, + 440, + 437, + 399, + 456, + 420, + 456, + 363, + 401, + 435, + 288, + 372, + 383, + 353, + 339, + 255, + 249, + 448, + 261, + 255, + 133, + 243, + 190, + 133, + 155, + 112, + 33, + 246, + 247, + 33, + 130, + 25, + 398, + 384, + 286, + 362, + 398, + 414, + 362, + 463, + 341, + 263, + 359, + 467, + 263, + 249, + 255, + 466, + 467, + 260, + 75, + 60, + 166, + 238, + 239, + 79, + 162, + 127, + 139, + 72, + 11, + 37, + 121, + 232, + 120, + 73, + 72, + 39, + 114, + 128, + 47, + 233, + 232, + 128, + 103, + 104, + 67, + 152, + 175, + 148, + 173, + 157, + 155, + 119, + 118, + 101, + 74, + 73, + 40, + 107, + 9, + 108, + 49, + 48, + 131, + 32, + 194, + 211, + 184, + 74, + 185, + 191, + 80, + 183, + 185, + 40, + 186, + 119, + 230, + 118, + 210, + 202, + 214, + 84, + 83, + 17, + 77, + 76, + 146, + 161, + 160, + 30, + 190, + 56, + 173, + 182, + 106, + 194, + 138, + 135, + 192, + 129, + 203, + 98, + 54, + 21, + 68, + 5, + 51, + 4, + 145, + 144, + 23, + 90, + 77, + 91, + 207, + 205, + 187, + 83, + 201, + 18, + 181, + 91, + 182, + 180, + 90, + 181, + 16, + 85, + 17, + 205, + 206, + 36, + 176, + 148, + 140, + 165, + 92, + 39, + 245, + 193, + 244, + 27, + 159, + 28, + 30, + 247, + 161, + 174, + 236, + 196, + 103, + 54, + 104, + 55, + 193, + 8, + 111, + 117, + 31, + 221, + 189, + 55, + 240, + 98, + 99, + 142, + 126, + 100, + 219, + 166, + 218, + 112, + 155, + 26, + 198, + 209, + 131, + 169, + 135, + 150, + 114, + 47, + 217, + 224, + 223, + 53, + 220, + 45, + 134, + 32, + 211, + 140, + 109, + 67, + 108, + 146, + 43, + 91, + 231, + 230, + 120, + 113, + 226, + 247, + 105, + 63, + 52, + 241, + 238, + 242, + 124, + 46, + 156, + 95, + 78, + 96, + 70, + 46, + 63, + 116, + 143, + 227, + 116, + 123, + 111, + 1, + 44, + 19, + 3, + 236, + 51, + 207, + 216, + 205, + 26, + 154, + 22, + 165, + 39, + 167, + 199, + 200, + 208, + 101, + 36, + 100, + 43, + 57, + 202, + 242, + 20, + 99, + 56, + 28, + 157, + 124, + 35, + 113, + 29, + 160, + 27, + 211, + 204, + 210, + 124, + 113, + 46, + 106, + 43, + 204, + 96, + 62, + 77, + 227, + 137, + 116, + 73, + 41, + 72, + 36, + 203, + 142, + 235, + 64, + 240, + 48, + 49, + 64, + 42, + 41, + 74, + 214, + 212, + 207, + 183, + 42, + 184, + 210, + 169, + 211, + 140, + 170, + 176, + 104, + 105, + 69, + 193, + 122, + 168, + 50, + 123, + 187, + 89, + 96, + 90, + 66, + 65, + 107, + 179, + 89, + 180, + 119, + 101, + 120, + 68, + 63, + 104, + 234, + 93, + 227, + 16, + 15, + 85, + 209, + 129, + 49, + 15, + 14, + 86, + 107, + 55, + 9, + 120, + 100, + 121, + 153, + 145, + 22, + 178, + 88, + 179, + 197, + 6, + 196, + 89, + 88, + 96, + 135, + 138, + 136, + 138, + 215, + 172, + 218, + 115, + 219, + 41, + 42, + 81, + 5, + 195, + 51, + 57, + 43, + 61, + 208, + 171, + 199, + 41, + 81, + 38, + 224, + 53, + 225, + 24, + 144, + 110, + 105, + 52, + 66, + 118, + 229, + 117, + 227, + 34, + 234, + 66, + 107, + 69, + 10, + 109, + 151, + 219, + 48, + 235, + 183, + 62, + 191, + 142, + 129, + 126, + 116, + 111, + 143, + 7, + 163, + 246, + 118, + 117, + 50, + 223, + 222, + 52, + 94, + 19, + 141, + 222, + 221, + 65, + 196, + 3, + 197, + 45, + 220, + 44, + 156, + 70, + 139, + 188, + 122, + 245, + 139, + 71, + 162, + 145, + 153, + 159, + 149, + 170, + 150, + 122, + 188, + 196, + 206, + 216, + 92, + 163, + 144, + 161, + 164, + 2, + 167, + 242, + 141, + 241, + 0, + 164, + 37, + 11, + 72, + 12, + 144, + 145, + 160, + 12, + 38, + 13, + 70, + 63, + 71, + 31, + 226, + 111, + 157, + 158, + 154, + 36, + 101, + 205, + 203, + 206, + 165, + 126, + 209, + 217, + 98, + 165, + 97, + 237, + 220, + 218, + 237, + 239, + 241, + 210, + 214, + 169, + 140, + 171, + 32, + 241, + 125, + 237, + 179, + 86, + 178, + 180, + 85, + 179, + 181, + 84, + 180, + 182, + 83, + 181, + 194, + 201, + 182, + 177, + 137, + 132, + 184, + 76, + 183, + 185, + 61, + 184, + 186, + 57, + 185, + 216, + 212, + 186, + 192, + 214, + 187, + 139, + 34, + 156, + 218, + 79, + 237, + 147, + 123, + 177, + 45, + 44, + 4, + 208, + 201, + 32, + 98, + 64, + 129, + 192, + 213, + 138, + 235, + 59, + 219, + 141, + 242, + 97, + 97, + 2, + 141, + 240, + 75, + 235, + 229, + 24, + 228, + 31, + 25, + 226, + 230, + 23, + 229, + 231, + 22, + 230, + 232, + 26, + 231, + 233, + 112, + 232, + 244, + 189, + 243, + 189, + 221, + 190, + 222, + 28, + 221, + 223, + 27, + 222, + 224, + 29, + 223, + 225, + 30, + 224, + 113, + 247, + 225, + 99, + 60, + 240, + 213, + 147, + 215, + 60, + 20, + 166, + 192, + 187, + 213, + 243, + 112, + 244, + 244, + 233, + 245, + 245, + 128, + 188, + 188, + 114, + 174, + 134, + 131, + 220, + 174, + 217, + 236, + 236, + 198, + 134, + 215, + 177, + 58, + 156, + 143, + 124, + 25, + 110, + 7, + 31, + 228, + 25, + 264, + 356, + 368, + 0, + 11, + 267, + 451, + 452, + 349, + 267, + 302, + 269, + 350, + 357, + 277, + 350, + 452, + 357, + 299, + 333, + 297, + 396, + 175, + 377, + 381, + 384, + 382, + 280, + 347, + 330, + 269, + 303, + 270, + 151, + 9, + 337, + 344, + 278, + 360, + 424, + 418, + 431, + 270, + 304, + 409, + 272, + 310, + 407, + 322, + 270, + 410, + 449, + 450, + 347, + 432, + 422, + 434, + 18, + 313, + 17, + 291, + 306, + 375, + 259, + 387, + 260, + 424, + 335, + 418, + 434, + 364, + 416, + 391, + 423, + 327, + 301, + 251, + 298, + 275, + 281, + 4, + 254, + 373, + 253, + 375, + 307, + 321, + 280, + 425, + 411, + 200, + 421, + 18, + 335, + 321, + 406, + 321, + 320, + 405, + 314, + 315, + 17, + 423, + 426, + 266, + 396, + 377, + 369, + 270, + 322, + 269, + 413, + 417, + 464, + 385, + 386, + 258, + 248, + 456, + 419, + 298, + 284, + 333, + 168, + 417, + 8, + 448, + 346, + 261, + 417, + 413, + 285, + 326, + 327, + 328, + 277, + 355, + 329, + 309, + 392, + 438, + 381, + 382, + 256, + 279, + 429, + 360, + 365, + 364, + 379, + 355, + 277, + 437, + 282, + 443, + 283, + 281, + 275, + 363, + 395, + 431, + 369, + 299, + 297, + 337, + 335, + 273, + 321, + 348, + 450, + 349, + 359, + 446, + 467, + 283, + 293, + 282, + 250, + 458, + 462, + 300, + 276, + 383, + 292, + 308, + 325, + 283, + 276, + 293, + 264, + 372, + 447, + 346, + 352, + 340, + 354, + 274, + 19, + 363, + 456, + 281, + 426, + 436, + 425, + 380, + 381, + 252, + 267, + 269, + 393, + 421, + 200, + 428, + 371, + 266, + 329, + 432, + 287, + 422, + 290, + 250, + 328, + 385, + 258, + 384, + 446, + 265, + 342, + 386, + 387, + 257, + 422, + 424, + 430, + 445, + 342, + 276, + 422, + 273, + 424, + 306, + 292, + 307, + 352, + 366, + 345, + 268, + 271, + 302, + 358, + 423, + 371, + 327, + 294, + 460, + 331, + 279, + 294, + 303, + 271, + 304, + 436, + 432, + 427, + 304, + 272, + 408, + 395, + 394, + 431, + 378, + 395, + 400, + 296, + 334, + 299, + 6, + 351, + 168, + 376, + 352, + 411, + 307, + 325, + 320, + 285, + 295, + 336, + 320, + 319, + 404, + 329, + 330, + 349, + 334, + 293, + 333, + 366, + 323, + 447, + 316, + 15, + 315, + 331, + 358, + 279, + 317, + 14, + 316, + 8, + 285, + 9, + 277, + 329, + 350, + 253, + 374, + 252, + 319, + 318, + 403, + 351, + 6, + 419, + 324, + 318, + 325, + 397, + 367, + 365, + 288, + 435, + 397, + 278, + 344, + 439, + 310, + 272, + 311, + 248, + 195, + 281, + 375, + 273, + 291, + 175, + 396, + 199, + 312, + 311, + 268, + 276, + 283, + 445, + 390, + 373, + 339, + 295, + 282, + 296, + 448, + 449, + 346, + 356, + 264, + 454, + 337, + 336, + 299, + 337, + 338, + 151, + 294, + 278, + 455, + 308, + 292, + 415, + 429, + 358, + 355, + 265, + 340, + 372, + 388, + 390, + 466, + 352, + 346, + 280, + 295, + 442, + 282, + 354, + 19, + 370, + 285, + 441, + 295, + 195, + 248, + 197, + 457, + 440, + 274, + 301, + 300, + 368, + 417, + 351, + 465, + 251, + 301, + 389, + 385, + 380, + 386, + 394, + 395, + 379, + 399, + 412, + 419, + 410, + 436, + 322, + 387, + 373, + 388, + 326, + 2, + 393, + 354, + 370, + 461, + 393, + 164, + 267, + 268, + 302, + 12, + 386, + 374, + 387, + 312, + 268, + 13, + 298, + 293, + 301, + 265, + 446, + 340, + 380, + 385, + 381, + 280, + 330, + 425, + 322, + 426, + 391, + 420, + 429, + 437, + 393, + 391, + 326, + 344, + 440, + 438, + 458, + 459, + 461, + 364, + 434, + 394, + 428, + 396, + 262, + 274, + 354, + 457, + 317, + 316, + 402, + 316, + 315, + 403, + 315, + 314, + 404, + 314, + 313, + 405, + 313, + 421, + 406, + 323, + 366, + 361, + 292, + 306, + 407, + 306, + 291, + 408, + 291, + 287, + 409, + 287, + 432, + 410, + 427, + 434, + 411, + 372, + 264, + 383, + 459, + 309, + 457, + 366, + 352, + 401, + 1, + 274, + 4, + 418, + 421, + 262, + 331, + 294, + 358, + 435, + 433, + 367, + 392, + 289, + 439, + 328, + 462, + 326, + 94, + 2, + 370, + 289, + 305, + 455, + 339, + 254, + 448, + 359, + 255, + 446, + 254, + 253, + 449, + 253, + 252, + 450, + 252, + 256, + 451, + 256, + 341, + 452, + 414, + 413, + 463, + 286, + 441, + 414, + 286, + 258, + 441, + 258, + 257, + 442, + 257, + 259, + 443, + 259, + 260, + 444, + 260, + 467, + 445, + 309, + 459, + 250, + 305, + 289, + 290, + 305, + 290, + 460, + 401, + 376, + 435, + 309, + 250, + 392, + 376, + 411, + 433, + 453, + 341, + 464, + 357, + 453, + 465, + 343, + 357, + 412, + 437, + 343, + 399, + 344, + 360, + 440, + 420, + 437, + 456, + 360, + 420, + 363, + 361, + 401, + 288, + 265, + 372, + 353, + 390, + 339, + 249, + 339, + 448, + 255 +]; +var VTX68 = [ + /* cont */ + 127, + 234, + 132, + 58, + 172, + 150, + 149, + 148, + 152, + 377, + 378, + 379, + 397, + 288, + 361, + 454, + 356, + /* brows */ + 70, + 63, + 105, + 66, + 107, + 336, + 296, + 334, + 293, + 300, + /* nose */ + 168, + 6, + 195, + 4, + 98, + 97, + 2, + 326, + 327, + /* eyes */ + 33, + 160, + 158, + 133, + 153, + 144, + 362, + 385, + 387, + 263, + 373, + 380, + /* lip */ + 57, + 40, + 37, + 0, + 267, + 270, + 287, + 321, + 314, + 17, + 84, + 91, + /* mouth */ + 78, + 81, + 13, + 311, + 308, + 402, + 14, + 178 +]; +var VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152]; +var VTX7 = [33, 133, 362, 263, 1, 78, 308]; +var UV68 = VTX68.map((x) => UV468[x]); +var UV33 = VTX33.map((x) => UV468[x]); +var UV7 = VTX7.map((x) => UV468[x]); +function connectionsToIndices(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var pairsLips = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var pairsLeftEye = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var pairsLeftEyebrow = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var pairsLeftIris = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var pairsRightEye = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var pairsRightEyebrow = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var pairsRightIris = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var pairsFaceContour = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +var contourKeypoints = { + lips: connectionsToIndices(pairsLips), + leftEye: connectionsToIndices(pairsLeftEye), + leftEyebrow: connectionsToIndices(pairsLeftEyebrow), + leftIris: connectionsToIndices(pairsLeftIris), + rightEye: connectionsToIndices(pairsRightEye), + rightEyebrow: connectionsToIndices(pairsRightEyebrow), + rightIris: connectionsToIndices(pairsRightIris), + faceOval: connectionsToIndices(pairsFaceContour) +}; + +// src/face/constants.ts +var LIPS_CONNECTIONS = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var LEFT_EYE_CONNECTIONS = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var LEFT_EYEBROW_CONNECTIONS = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var LEFT_IRIS_CONNECTIONS = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var RIGHT_EYE_CONNECTIONS = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var RIGHT_EYEBROW_CONNECTIONS = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var RIGHT_IRIS_CONNECTIONS = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var FACE_OVAL_CONNECTIONS = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +function connectionsToIndices2(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = { + lips: connectionsToIndices2(LIPS_CONNECTIONS), + leftEye: connectionsToIndices2(LEFT_EYE_CONNECTIONS), + leftEyebrow: connectionsToIndices2(LEFT_EYEBROW_CONNECTIONS), + leftIris: connectionsToIndices2(LEFT_IRIS_CONNECTIONS), + rightEye: connectionsToIndices2(RIGHT_EYE_CONNECTIONS), + rightEyebrow: connectionsToIndices2(RIGHT_EYEBROW_CONNECTIONS), + rightIris: connectionsToIndices2(RIGHT_IRIS_CONNECTIONS), + faceOval: connectionsToIndices2(FACE_OVAL_CONNECTIONS) +}; +var indexLabelPairs = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR).map(([label, indices]) => indices.map((index2) => [index2, label])).flat(); +var MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs); +var LANDMARKS_REFINEMENT_LIPS_CONFIG = [ + 61, + 146, + 91, + 181, + 84, + 17, + 314, + 405, + 321, + 375, + 291, + // Lower outer. + 185, + 40, + 39, + 37, + 0, + 267, + 269, + 270, + 409, + // Upper outer(excluding corners). + 78, + 95, + 88, + 178, + 87, + 14, + 317, + 402, + 318, + 324, + 308, + // Lower inner. + 191, + 80, + 81, + 82, + 13, + 312, + 311, + 310, + 415, + // Upper inner(excluding corners). + 76, + 77, + 90, + 180, + 85, + 16, + 315, + 404, + 320, + 307, + 306, + // Lower semi - outer. + 184, + 74, + 73, + 72, + 11, + 302, + 303, + 304, + 408, + // Upper semi - outer(excluding corners). + 62, + 96, + 89, + 179, + 86, + 15, + 316, + 403, + 319, + 325, + 292, + // Lower semi - inner. + 183, + 42, + 41, + 38, + 12, + 268, + 271, + 272, + 407 + // Upper semi - inner(excluding corners). +]; +var LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [ + 33, + 7, + 163, + 144, + 145, + 153, + 154, + 155, + 133, + // Lower contour. + 246, + 161, + 160, + 159, + 158, + 157, + 173, + // upper contour (excluding corners). + 130, + 25, + 110, + 24, + 23, + 22, + 26, + 112, + 243, + // Halo x2 lower contour. + 247, + 30, + 29, + 27, + 28, + 56, + 190, + // Halo x2 upper contour (excluding corners). + 226, + 31, + 228, + 229, + 230, + 231, + 232, + 233, + 244, + // Halo x3 lower contour. + 113, + 225, + 224, + 223, + 222, + 221, + 189, + // Halo x3 upper contour (excluding corners). + 35, + 124, + 46, + 53, + 52, + 65, + // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour. + 143, + 111, + 117, + 118, + 119, + 120, + 121, + 128, + 245, + // Halo x5 lower contour. + 156, + 70, + 63, + 105, + 66, + 107, + 55, + 193 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; +var LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [ + 263, + 249, + 390, + 373, + 374, + 380, + 381, + 382, + 362, + // Lower contour. + 466, + 388, + 387, + 386, + 385, + 384, + 398, + // Upper contour (excluding corners). + 359, + 255, + 339, + 254, + 253, + 252, + 256, + 341, + 463, + // Halo x2 lower contour. + 467, + 260, + 259, + 257, + 258, + 286, + 414, + // Halo x2 upper contour (excluding corners). + 446, + 261, + 448, + 449, + 450, + 451, + 452, + 453, + 464, + // Halo x3 lower contour. + 342, + 445, + 444, + 443, + 442, + 441, + 413, + // Halo x3 upper contour (excluding corners). + 265, + 353, + 276, + 283, + 282, + 295, + // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour. + 372, + 340, + 346, + 347, + 348, + 349, + 350, + 357, + 465, + // Halo x5 lower contour. + 383, + 300, + 293, + 334, + 296, + 336, + 285, + 417 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; + +// src/draw/face.ts +var localOptions; +function drawLabels(f, ctx) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i; + if (!localOptions.drawLabels || ((_a = localOptions.faceLabels) == null ? void 0 : _a.length) === 0) + return; + let l = localOptions.faceLabels.slice(); + l = replace(l, "[id]", f.id.toFixed(0)); + if (f.score) + l = replace(l, "[score]", 100 * f.score); + if (f.gender) + l = replace(l, "[gender]", f.gender); + if (f.genderScore) + l = replace(l, "[genderScore]", 100 * f.genderScore); + if (f.age) + l = replace(l, "[age]", f.age); + if (f.distance) + l = replace(l, "[distance]", 100 * f.distance); + if (f.real) + l = replace(l, "[real]", 100 * f.real); + if (f.live) + l = replace(l, "[live]", 100 * f.live); + if (f.emotion && f.emotion.length > 0) { + const emotion2 = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`); + if (emotion2.length > 3) + emotion2.length = 3; + l = replace(l, "[emotions]", emotion2.join(" ")); + } + if ((_c = (_b = f.rotation) == null ? void 0 : _b.angle) == null ? void 0 : _c.roll) + l = replace(l, "[roll]", rad2deg(f.rotation.angle.roll)); + if ((_e = (_d = f.rotation) == null ? void 0 : _d.angle) == null ? void 0 : _e.yaw) + l = replace(l, "[yaw]", rad2deg(f.rotation.angle.yaw)); + if ((_g = (_f = f.rotation) == null ? void 0 : _f.angle) == null ? void 0 : _g.pitch) + l = replace(l, "[pitch]", rad2deg(f.rotation.angle.pitch)); + if ((_i = (_h = f.rotation) == null ? void 0 : _h.gaze) == null ? void 0 : _i.bearing) + l = replace(l, "[gaze]", rad2deg(f.rotation.gaze.bearing)); + labels(ctx, l, f.box[0], f.box[1], localOptions); +} +function drawIrisElipse(f, ctx) { + var _a, _b, _c, _d; + if (((_a = f.annotations) == null ? void 0 : _a.leftEyeIris) && ((_b = f.annotations) == null ? void 0 : _b.leftEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } + if (((_c = f.annotations) == null ? void 0 : _c.rightEyeIris) && ((_d = f.annotations) == null ? void 0 : _d.rightEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } +} +function drawGazeSpheres(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.angle) && typeof Path2D !== "undefined") { + ctx.strokeStyle = "pink"; + const valX = f.box[0] + f.box[2] / 2 - f.box[3] * rad2deg(f.rotation.angle.yaw) / 90; + const valY = f.box[1] + f.box[3] / 2 + f.box[2] * rad2deg(f.rotation.angle.pitch) / 90; + const pathV = new Path2D(` + M ${f.box[0] + f.box[2] / 2} ${f.box[1]} C - ${o} ${e.box[1]}, - ${o} ${e.box[1]+e.box[3]}, - ${e.box[0]+e.box[2]/2} ${e.box[1]+e.box[3]} - `),A=new Path2D(` - M ${e.box[0]} ${e.box[1]+e.box[3]/2} + ${valX} ${f.box[1]}, + ${valX} ${f.box[1] + f.box[3]}, + ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]} + `); + const pathH = new Path2D(` + M ${f.box[0]} ${f.box[1] + f.box[3] / 2} C - ${e.box[0]} ${r}, - ${e.box[0]+e.box[2]} ${r}, - ${e.box[0]+e.box[2]} ${e.box[1]+e.box[3]/2} - `);t.stroke(A),t.stroke(s)}}function Vs(e,t){var n;if(X.drawGaze&&((n=e.rotation)!=null&&n.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let o=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];r5(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[o[0],o[1]],4);let r=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];r5(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[r[0],r[1]],4)}}function Zs(e,t){if(X.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let n=0;n<$e.length/3;n++){let o=[$e[n*3+0],$e[n*3+1],$e[n*3+2]].map(r=>e.mesh[r]);o5(t,o,X)}Hs(e,t)}}function qs(e,t){if(X.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let n=0;n0&&(qs(r,o),Zs(r,o),Gs(r,o),Vs(r,o))}}function et(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round";for(let a=0;a0)){let l=o.bodyLabels.slice();l=Y(l,"[id]",t[a].id.toFixed(0)),l=Y(l,"[score]",100*t[a].score),re(r,l,t[a].box[0],t[a].box[1],o)}if(o.drawPoints&&t[a].keypoints)for(let l=0;l0&&t[a].keypoints){r.font=o.font;for(let l of t[a].keypoints){if(!l.score||l.score===0)continue;let c=o.bodyPartLabels.slice();c=Y(c,"[label]",l.part),c=Y(c,"[score]",100*l.score),re(r,c,l.position[0],l.position[1],o)}}if(o.drawPolygons&&t[a].keypoints&&t[a].annotations)for(let l of Object.values(t[a].annotations))for(let c of l)J1(r,c,o)}}}function tt(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let a of t){if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,a.box[0],a.box[1],a.box[2],a.box[3],o),o.drawLabels&&((s=o.handLabels)==null?void 0:s.length)>0){let l=o.handLabels.slice();l=Y(l,"[id]",a.id.toFixed(0)),l=Y(l,"[label]",a.label),l=Y(l,"[score]",100*a.score),re(r,l,a.box[0],a.box[1],o)}r.stroke()}if(o.drawPoints&&a.keypoints&&a.keypoints.length>0)for(let l of a.keypoints)r.fillStyle=Qe(l[2],o),he(r,l[0],l[1],0,o);if(o.drawLabels&&a.annotations&&((A=o.fingerLabels)==null?void 0:A.length)>0)for(let[l,c]of Object.entries(a.annotations)){let x=o.fingerLabels.slice();x=Y(x,"[label]",l),re(r,x,c[c.length-1][0],c[c.length-1][1],o)}if(o.drawPolygons&&a.annotations){let l=c=>{if(!(!c||c.length===0||!c[0]))for(let x=0;x0?x-1:0][0],c[x>0?x-1:0][1]),r.lineTo(c[x][0],c[x][1]),r.stroke()}};r.lineWidth=o.lineWidth,l(a.annotations.index),l(a.annotations.middle),l(a.annotations.ring),l(a.annotations.pinky),l(a.annotations.thumb)}}}}function nt(e,t,n){var s;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let A of t)if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,A.box[0],A.box[1],A.box[2],A.box[3],o),o.drawLabels&&((s=o.objectLabels)==null?void 0:s.length)>0){let a=o.objectLabels.slice();a=Y(a,"[id]",A.id.toFixed(0)),a=Y(a,"[label]",A.label),a=Y(a,"[score]",100*A.score),re(r,a,A.box[0],A.box[1],o)}r.stroke()}}}function ot(e,t,n){var r;let o=a0(f0,n);if(!(!t||!e)&&o.drawGestures&&((r=o.gestureLabels)==null?void 0:r.length)>0){let s=oe(e);if(!s)return;s.font=o.font,s.fillStyle=o.color;let A=1;for(let a=0;a1&&c[1].length>0){let x=l[1]>0?`#${l[1]}`:"",i=o.gestureLabels.slice();i=Y(i,"[where]",l[0]),i=Y(i,"[who]",x),i=Y(i,"[what]",c[1]),re(s,i,8,2+A*o.lineHeight,o),A+=1}}}}var Ne={face:`face + ${f.box[0]} ${valY}, + ${f.box[0] + f.box[2]} ${valY}, + ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2} + `); + ctx.stroke(pathH); + ctx.stroke(pathV); + } +} +function drawGazeArrows(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.gaze.strength) && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) { + ctx.strokeStyle = "pink"; + ctx.fillStyle = "pink"; + const leftGaze = [ + f.annotations.leftEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.leftEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4); + const rightGaze = [ + f.annotations.rightEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.rightEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4); + } +} +function drawFacePolygons(f, ctx) { + if (localOptions.drawPolygons && f.mesh.length >= 468) { + ctx.lineWidth = 1; + for (let i = 0; i < TRI468.length / 3; i++) { + const points = [TRI468[i * 3 + 0], TRI468[i * 3 + 1], TRI468[i * 3 + 2]].map((index2) => f.mesh[index2]); + lines(ctx, points, localOptions); + } + drawIrisElipse(f, ctx); + } +} +function drawFacePoints(f, ctx) { + if (localOptions.drawPoints) { + if ((f == null ? void 0 : f.mesh.length) >= 468) { + for (let i = 0; i < f.mesh.length; i++) { + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions); + if (localOptions.drawAttention) { + if (LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] + 127, localOptions); + if (LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + if (LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + } + } + } else { + for (const [k, v] of Object.entries((f == null ? void 0 : f.annotations) || {})) { + if (!(v == null ? void 0 : v[0])) + continue; + const pt = v[0]; + point(ctx, pt[0], pt[1], 0, localOptions); + if (localOptions.drawLabels) + labels(ctx, k, pt[0], pt[1], localOptions); + } + } + } +} +function drawFaceBoxes(f, ctx) { + if (localOptions.drawBoxes) { + rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions); + } +} +function face(inCanvas2, result, drawOptions) { + localOptions = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions.font; + ctx.strokeStyle = localOptions.color; + ctx.fillStyle = localOptions.color; + for (const f of result) { + drawFaceBoxes(f, ctx); + drawLabels(f, ctx); + if (f.mesh && f.mesh.length > 0) { + drawFacePoints(f, ctx); + drawFacePolygons(f, ctx); + drawGazeSpheres(f, ctx); + drawGazeArrows(f, ctx); + } + } +} + +// src/draw/body.ts +function body(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + for (let i = 0; i < result.length; i++) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + ctx.lineWidth = localOptions2.lineWidth; + ctx.font = localOptions2.font; + if (localOptions2.drawBoxes && result[i].box && result[i].box.length === 4) { + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.bodyLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.bodyLabels.slice(); + l = replace(l, "[id]", result[i].id.toFixed(0)); + l = replace(l, "[score]", 100 * result[i].score); + labels(ctx, l, result[i].box[0], result[i].box[1], localOptions2); + } + } + if (localOptions2.drawPoints && result[i].keypoints) { + for (let pt = 0; pt < result[i].keypoints.length; pt++) { + if (!result[i].keypoints[pt].score || result[i].keypoints[pt].score === 0) + continue; + ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions2); + point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions2); + } + } + if (localOptions2.drawLabels && ((_b = localOptions2.bodyPartLabels) == null ? void 0 : _b.length) > 0 && result[i].keypoints) { + ctx.font = localOptions2.font; + for (const pt of result[i].keypoints) { + if (!pt.score || pt.score === 0) + continue; + let l = localOptions2.bodyPartLabels.slice(); + l = replace(l, "[label]", pt.part); + l = replace(l, "[score]", 100 * pt.score); + labels(ctx, l, pt.position[0], pt.position[1], localOptions2); + } + } + if (localOptions2.drawPolygons && result[i].keypoints && result[i].annotations) { + for (const part of Object.values(result[i].annotations)) { + for (const connected4 of part) + curves(ctx, connected4, localOptions2); + } + } + } +} + +// src/draw/hand.ts +function hand(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.handLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.handLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + if (localOptions2.drawPoints) { + if (h.keypoints && h.keypoints.length > 0) { + for (const pt of h.keypoints) { + ctx.fillStyle = colorDepth(pt[2], localOptions2); + point(ctx, pt[0], pt[1], 0, localOptions2); + } + } + } + if (localOptions2.drawLabels && h.annotations && ((_b = localOptions2.fingerLabels) == null ? void 0 : _b.length) > 0) { + for (const [part, pt] of Object.entries(h.annotations)) { + let l = localOptions2.fingerLabels.slice(); + l = replace(l, "[label]", part); + labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions2); + } + } + if (localOptions2.drawPolygons && h.annotations) { + const addHandLine = (part) => { + if (!part || part.length === 0 || !part[0]) + return; + for (let i = 0; i < part.length; i++) { + ctx.beginPath(); + const z = part[i][2] || 0; + ctx.strokeStyle = colorDepth(i * z, localOptions2); + ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]); + ctx.lineTo(part[i][0], part[i][1]); + ctx.stroke(); + } + }; + ctx.lineWidth = localOptions2.lineWidth; + addHandLine(h.annotations.index); + addHandLine(h.annotations.middle); + addHandLine(h.annotations.ring); + addHandLine(h.annotations.pinky); + addHandLine(h.annotations.thumb); + } + } +} + +// src/draw/object.ts +function object(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.objectLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.objectLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + } +} + +// src/draw/gesture.ts +function gesture(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + if (localOptions2.drawGestures && ((_a = localOptions2.gestureLabels) == null ? void 0 : _a.length) > 0) { + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions2.font; + ctx.fillStyle = localOptions2.color; + let i = 1; + for (let j = 0; j < result.length; j++) { + const [where, what] = Object.entries(result[j]); + if (what.length > 1 && what[1].length > 0) { + const who = where[1] > 0 ? `#${where[1]}` : ""; + let l = localOptions2.gestureLabels.slice(); + l = replace(l, "[where]", where[0]); + l = replace(l, "[who]", who); + l = replace(l, "[what]", what[1]); + labels(ctx, l, 8, 2 + i * localOptions2.lineHeight, localOptions2); + i += 1; + } + } + } +} + +// src/draw/labels.ts +var defaultLabels = { + face: `face confidence: [score]% [gender] [genderScore]% age: [age] years @@ -118,7 +6616,7715 @@ live: [live]% [emotions] roll: [roll]\xB0 yaw:[yaw]\xB0 pitch:[pitch]\xB0 - gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var i5=0;function Us(e,t,n){let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let s=0;sd5,kpt:()=>c5});var c5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],d5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var D=G(H());var se,n2=224,$1,Js=5,At=[8,16,32,32,32];function Qs(){let e=[],t=0;for(;tn.x)),y:D.tensor1d(e.map(n=>n.y))}}async function e3(e){if(R.initial&&(se=null),!se&&e.body.detector&&e.body.detector.modelPath){se=await O(e.body.detector.modelPath);let t=se!=null&&se.executor?Object.values(se.modelSignature.inputs):void 0;n2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&se&&h("cached model:",se.modelUrl);return Qs(),se}var _1=[5,5];function _s(e,t){return D.tidy(()=>{let n=D.split(e,12,1),o=D.squeeze(n[0]),r=D.squeeze(n[1]),s=D.squeeze(n[2]),A=D.squeeze(n[3]);o=D.add(D.div(o,n2),t.x),r=D.add(D.div(r,n2),t.y),s=D.mul(D.div(s,n2),_1[0]),A=D.mul(D.div(A,n2),_1[1]);let a=D.sub(o,D.div(s,2)),l=D.sub(r,D.div(A,2)),c=D.add(a,s),x=D.add(l,A);return D.stack([a,l,c,x],1)})}async function $s(e,t,n,o){var c,x;let r=[],s={};s.boxes=_s(e,$1),s.scores=D.sigmoid(t),s.nms=await D.image.nonMaxSuppressionAsync(s.boxes,s.scores,1,((c=n.body.detector)==null?void 0:c.minConfidence)||.1,((x=n.body.detector)==null?void 0:x.iouThreshold)||.1);let A=await s.nms.data(),a=await s.scores.data(),l=await s.boxes.array();for(let i of Array.from(A)){let f=a[i],d=l[i],m=[Math.round(d[0]*o[0]),Math.round(d[1]*o[1]),Math.round(d[2]*o[0]),Math.round(d[3]*o[1])],y={score:f,boxRaw:d,box:m};r.push(y)}return Object.keys(s).forEach(i=>D.dispose(s[i])),r}async function t3(e,t,n){let o={};o.res=se==null?void 0:se.execute(e,["Identity"]),o.logitsRaw=D.slice(o.res,[0,0,0],[1,-1,1]),o.boxesRaw=D.slice(o.res,[0,0,1],[1,-1,-1]),o.logits=D.squeeze(o.logitsRaw),o.boxes=D.squeeze(o.boxesRaw);let r=await $s(o.boxes,o.logits,t,n);return Object.keys(o).forEach(s=>D.dispose(o[s])),r}function Oe(e,t=[1,1]){let n=[e.map(a=>a[0]),e.map(a=>a[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[o[0],o[1],r[0]-o[0],r[1]-o[1]],A=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:A}}function n3(e,t=[1,1]){let n=[e.map(c=>c[0]),e.map(c=>c[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[(o[0]+r[0])/2,(o[1]+r[1])/2],A=Math.max(s[0]-o[0],s[1]-o[1],-s[0]+r[0],-s[1]+r[1]),a=[Math.trunc(s[0]-A),Math.trunc(s[1]-A),Math.trunc(2*A),Math.trunc(2*A)],l=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:l}}function at(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var Z0,y5=256,x5=Number.MAX_SAFE_INTEGER,eA={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},lt=[],Le=[[0,0],[0,0],[0,0],[0,0]],o3=0,r3=e=>1-1/(1+Math.exp(e)),A3=e=>e3(e);async function a3(e){if(R.initial&&(Z0=null),Z0)e.debug&&h("cached model:",Z0.modelUrl);else{Z0=await O(e.body.modelPath);let t=Z0!=null&&Z0.executor?Object.values(Z0.modelSignature.inputs):void 0;y5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return Z0}function s3(e,t,n){var s,A;let o={};if(!((s=e==null?void 0:e.shape)!=null&&s[1])||!((A=e==null?void 0:e.shape)!=null&&A[2]))return e;let r;if(n&&(o.cropped=q0.image.cropAndResize(e,[n],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let a=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],l=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];Le=[[0,0],a,l,[0,0]],o.pad=q0.pad(o.cropped||e,Le),o.resize=q0.image.resizeBilinear(o.pad,[t,t]),r=q0.div(o.resize,C.tf255)}else e.shape[1]!==t?(o.resize=q0.image.resizeBilinear(o.cropped||e,[t,t]),r=q0.div(o.resize,C.tf255)):r=q0.div(o.cropped||e,C.tf255);return Object.keys(o).forEach(a=>q0.dispose(o[a])),r}function tA(e,t,n){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+Le[2][0]+Le[2][1])/t[0]-Le[2][0]),Math.trunc(o.position[1]*(t[1]+Le[1][0]+Le[1][1])/t[1]-Le[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(n){let o=n[2]-n[0],r=n[3]-n[1];for(let s of e)s.positionRaw=[s.positionRaw[0]/r+n[1],s.positionRaw[1]/o+n[0],s.positionRaw[2]],s.position=[Math.trunc(s.positionRaw[0]*t[0]),Math.trunc(s.positionRaw[1]*t[1]),s.positionRaw[2]]}return e}function nA(e){let t=e.find(a=>a.part==="leftPalm"),n=e.find(a=>a.part==="leftWrist"),o=e.find(a=>a.part==="leftIndex");t.position[2]=((n.position[2]||0)+(o.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),s=e.find(a=>a.part==="rightWrist"),A=e.find(a=>a.part==="rightIndex");r.position[2]=((s.position[2]||0)+(A.position[2]||0))/2}async function oA(e,t,n){if(!(Z0!=null&&Z0.executor))return null;let o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=Z0==null?void 0:Z0.execute(e,eA.landmarks);let r=(await o.poseflag.data())[0],s=await o.ld.data(),A=await o.world.data();Object.keys(o).forEach(m=>q0.dispose(o[m]));let a=[],l=5;for(let m=0;mm.position),i=Oe(x,[n[0],n[1]]),f={};for(let[m,y]of Object.entries(d5)){let u=[];for(let T=0;Tb.part===y[T]),p=c.find(b=>b.part===y[T+1]);g&&p&&u.push([g.position,p.position])}f[m]=u}return{id:0,score:Math.trunc(100*r)/100,box:i.box,boxRaw:i.boxRaw,keypoints:c,annotations:f}}async function f5(e,t){var s,A,a;let n=[e.shape[2]||0,e.shape[1]||0],o=(t.body.skipTime||0)>v()-o3,r=x5<(t.body.skipFrames||0);if(t.skipAllowed&&o&&r&<!==null)x5++;else{let l=[];if((A=(s=t.body)==null?void 0:s.detector)!=null&&A.enabled){let c=s3(e,224);l=await t3(c,t,n),q0.dispose(c)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let c=0;cF0.dispose(o[c])),r}async function u5(e,t){if(!(X0!=null&&X0.executor))return[];let n=(t.object.skipTime||0)>v()-l3,o=p5<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&m5.length>0?(p5++,m5):(p5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=F0.image.resizeBilinear(e,[o2,o2]),a=t.object.enabled?X0==null?void 0:X0.execute(A,["tower_0/detections"]):null;l3=v(),F0.dispose(A);let l=await rA(a,s,t);m5=l,r(l)}))}var J=G(H());var ct={};ze(ct,{connected:()=>b5,kpt:()=>h5});var h5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],b5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var i0,x3=0,B0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},g5=Number.MAX_SAFE_INTEGER;async function y3(e){return R.initial&&(i0=null),i0?e.debug&&h("cached model:",i0.modelUrl):i0=await O(e.body.modelPath),i0}async function sA(e,t){let[n,o]=e.shape,r=J.reshape(e,[o*n]),s=J.max(r,0),A=(await s.data())[0];if(A>t){let a=J.argMax(r,0),l=J.mod(a,n),c=(await l.data())[0],x=J.div(a,n),i=(await x.data())[0];return J.dispose([r,s,a,l,x]),[c,i,A]}return J.dispose([r,s]),[0,0,A]}async function T5(e,t){if(!(i0!=null&&i0.executor)||!(i0!=null&&i0.inputs[0].shape))return[];let n=(t.body.skipTime||0)>v()-x3,o=g5<(t.body.skipFrames||0);return t.skipAllowed&&n&&o&&Object.keys(B0.keypoints).length>0?(g5++,[B0]):(g5=0,new Promise(async r=>{let s=J.tidy(()=>{var m,y;let i=J.image.resizeBilinear(e,[((m=i0==null?void 0:i0.inputs[0].shape)==null?void 0:m[2])||0,((y=i0==null?void 0:i0.inputs[0].shape)==null?void 0:y[1])||0],!1),f=J.mul(i,C.tf2);return J.sub(f,C.tf1)}),A;if(t.body.enabled&&(A=i0==null?void 0:i0.execute(s)),x3=v(),J.dispose(s),A){B0.keypoints.length=0;let i=J.squeeze(A);J.dispose(A);let f=J.unstack(i,2);J.dispose(i);for(let d=0;d(t.body.minConfidence||0)&&B0.keypoints.push({score:Math.round(100*u)/100,part:h5[d],positionRaw:[m/i0.inputs[0].shape[2],y/i0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/i0.inputs[0].shape[2]),Math.round(e.shape[1]*y/i0.inputs[0].shape[1])]})}f.forEach(d=>J.dispose(d))}B0.score=B0.keypoints.reduce((i,f)=>f.score>i?f.score:i,0);let a=B0.keypoints.map(i=>i.position[0]),l=B0.keypoints.map(i=>i.position[1]);B0.box=[Math.min(...a),Math.min(...l),Math.max(...a)-Math.min(...a),Math.max(...l)-Math.min(...l)];let c=B0.keypoints.map(i=>i.positionRaw[0]),x=B0.keypoints.map(i=>i.positionRaw[1]);B0.boxRaw=[Math.min(...c),Math.min(...x),Math.max(...c)-Math.min(...c),Math.max(...x)-Math.min(...x)];for(let[i,f]of Object.entries(b5)){let d=[];for(let m=0;mT.part===f[m]),u=B0.keypoints.find(T=>T.part===f[m+1]);y&&u&&y.score>(t.body.minConfidence||0)&&u.score>(t.body.minConfidence||0)&&d.push([y.position,u.position])}B0.annotations[i]=d}r([B0])}))}var l0=G(H());var De=G(H());var L=G(H());var Me=G(H());var p2=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],dt=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],xt=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],yt=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],u3=(e,t,n)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],s=e.landmarks.map(A=>[(A[0]+n[0])*t[0],(A[1]+n[1])*t[1]]);return{startPoint:o,endPoint:r,landmarks:s,confidence:e.confidence}},v5=(e,t,n)=>{let o=t.shape[1],r=t.shape[2],s=[e.startPoint[1]/o,e.startPoint[0]/r,e.endPoint[1]/o,e.endPoint[0]/r],A=Me.image.cropAndResize(t,[s],[0],n),a=Me.div(A,C.tf255);return Me.dispose(A),a},ft=(e,t)=>{let n=dt(e),o=p2(e),r=[t*o[0]/2,t*o[1]/2];return{startPoint:[n[0]-r[0],n[1]-r[1]],endPoint:[n[0]+r[0],n[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence,size:o}},mt=e=>{let t=dt(e),n=p2(e),o=Math.max(...n)/2;return{startPoint:[Math.round(t[0]-o),Math.round(t[1]-o)],endPoint:[Math.round(t[0]+o),Math.round(t[1]+o)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(n[0]),Math.round(n[1])]}},h3=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return{startPoint:[Math.min(...t),Math.min(...n)],endPoint:[Math.max(...t),Math.max(...n)],landmarks:e}},R5=[[1,0,0],[0,1,0],[0,0,1]],AA=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),aA=(e,t)=>AA(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var m3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],r2=(e,t)=>{let n=0;for(let o=0;o{let n=[];for(let o=0;o{let n=[],o=e.length;for(let r=0;r{let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=m3(t[0],t[1]),A=p3(s,r),a=m3(-t[0],-t[1]);return p3(A,a)},lA=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-r2(t[0],n),-r2(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]},cA=(e,t)=>[r2(e,t[0]),r2(e,t[1])];function g3(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o[s[0]/r*(d[0]-r/2),s[1]/r*(d[1]-r/2),d[2]||0]),a=n&&n!==0&&Math.abs(n)>.2,l=a?b3(n,[0,0]):R5,c=a?A.map(d=>[...cA(d,l),d[2]]):A,x=a?lA(o):R5,i=dt(t),f=[r2(i,x[0]),r2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2]||0)])}function v3(e,t,n,o){let r=t.landmarks.length>=s5.count?s5.symmetryLine:_e.symmetryLine,s=0,A=R5,a;if(e&&R.kernels.includes("rotatewithoffset"))if(s=aA(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let c=dt(t),x=[c[0]/n.shape[2],c[1]/n.shape[1]],i=Me.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=b3(-s,c),a=v5(t,i,[o,o]),Me.dispose(i)}else a=v5(t,n,[o,o]);else a=v5(t,n,[o,o]);return[s,A,a]}var dA=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},R3=(e,t)=>{let n=dA(e),o=p2(t);return{startPoint:[n[0]-o[0]/2,n[1]-o[1]/2],endPoint:[n[0]+o[0]/2,n[1]+o[1]/2]}};var M3=6,xA=1.4,xe,pt=null,Ce=0,u2=null,P3=()=>Ce;async function k3(e){var t;return R.initial&&(xe=null),xe?e.debug&&h("cached model:",xe.modelUrl):xe=await O((t=e.face.detector)==null?void 0:t.modelPath),Ce=xe.executor&&xe.inputs[0].shape?xe.inputs[0].shape[2]:256,u2=L.scalar(Ce,"int32"),pt=L.tensor2d(g3(Ce)),xe}function yA(e){if(!pt||!u2)return L.zeros([0,0]);let t={};t.boxStarts=L.slice(e,[0,1],[-1,2]),t.centers=L.add(t.boxStarts,pt),t.boxSizes=L.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=L.div(t.boxSizes,u2),t.centersNormalized=L.div(t.centers,u2),t.halfBoxSize=L.div(t.boxSizesNormalized,C.tf2),t.starts=L.sub(t.centersNormalized,t.halfBoxSize),t.ends=L.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=L.mul(t.starts,u2),t.endNormalized=L.mul(t.ends,u2);let n=L.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>L.dispose(t[o])),n}async function w3(e,t){var a,l,c,x,i,f;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=L.image.resizeBilinear(e,[Ce,Ce]),n.div=L.div(n.resized,C.tf127),n.normalized=L.sub(n.div,C.tf05);let o=xe==null?void 0:xe.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let d=o.sort((m,y)=>m.size-y.size);n.concat384=L.concat([d[0],d[2]],2),n.concat512=L.concat([d[1],d[3]],2),n.concat=L.concat([n.concat512,n.concat384],1),n.batch=L.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=L.squeeze(o[0]):n.batch=L.squeeze(o);L.dispose(o),n.boxes=yA(n.batch),n.logits=L.slice(n.batch,[0,0],[-1,1]),n.sigmoid=L.sigmoid(n.logits),n.scores=L.squeeze(n.sigmoid),n.nms=await L.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let d=0;d(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let y={};y.bbox=L.slice(n.boxes,[r[d],0],[1,-1]),y.slice=L.slice(n.batch,[r[d],M3-1],[1,-1]),y.squeeze=L.squeeze(y.slice),y.landmarks=L.reshape(y.squeeze,[M3,-1]);let u=await y.bbox.data(),T={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await y.landmarks.array(),confidence:m};y.anchor=L.slice(pt,[r[d],0],[1,2]);let g=await y.anchor.data(),p=u3(T,[(e.shape[2]||0)/Ce,(e.shape[1]||0)/Ce],g),b=ft(p,t.face.scale||xA),k=mt(b);k.size[0]>(((i=t.face.detector)==null?void 0:i.minSize)||0)&&k.size[1]>(((f=t.face.detector)==null?void 0:f.minSize)||0)&&s.push(k),Object.keys(y).forEach(P=>L.dispose(y[P]))}}return Object.keys(n).forEach(d=>L.dispose(n[d])),s}var ye=G(H());var K0,We=0,fA=2.3,P5=ae.leftEyeLower0,k5=ae.rightEyeLower0,h2={leftBounds:[P5[0],P5[P5.length-1]],rightBounds:[k5[0],k5[k5.length-1]]},b2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function I3(e){var t,n;return R.initial&&(K0=null),K0?e.debug&&h("cached model:",K0.modelUrl):K0=await O((t=e.face.iris)==null?void 0:t.modelPath),We=K0!=null&&K0.executor&&((n=K0.inputs)!=null&&n[0].shape)?K0.inputs[0].shape[2]:0,We===-1&&(We=64),K0}function ut(e,t,n,o){for(let r=0;r{let t=e[h2.leftBounds[0]][2],n=e[h2.rightBounds[0]][2];return t-n},z3=(e,t,n,o,r,s=!1)=>{let A=mt(ft(h3([e[n],e[o]]),fA)),a=p2(A),l=ye.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[We,We]);if(s&&R.kernels.includes("flipleftright")){let c=ye.image.flipLeftRight(l);ye.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},S3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s{let o=e[ae[`${n}EyeUpper0`][b2.upperCenter]][2],r=e[ae[`${n}EyeLower0`][b2.lowerCenter]][2],s=(o+r)/2;return t.map((A,a)=>{let l=s;return a===2?l=o:a===4&&(l=r),[A[0],A[1],l]})};async function N3(e,t,n){if(!(K0!=null&&K0.executor))return e;let{box:o,boxSize:r,crop:s}=z3(e,t,h2.leftBounds[0],h2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=z3(e,t,h2.rightBounds[0],h2.rightBounds[1],n,!0),c=ye.concat([s,l]);ye.dispose(s),ye.dispose(l);let x=K0.execute(c);ye.dispose(c);let i=await x.data();ye.dispose(x);let f=i.slice(0,b2.numCoordinates*3),{rawCoords:d,iris:m}=S3(f,o,r,!0),y=i.slice(b2.numCoordinates*3),{rawCoords:u,iris:T}=S3(y,A,a,!1),g=mA(e);Math.abs(g)<30?(ut(e,d,"left",null),ut(e,u,"right",null)):g<1?ut(e,d,"left",["EyeUpper0","EyeLower0"]):ut(e,u,"right",["EyeUpper0","EyeLower0"]);let p=j3(e,m,"left"),b=j3(e,T,"right");return e.concat(p).concat(b)}async function L3(e,t){var s,A,a,l,c,x,i,f,d,m;let n={lips:await((A=(s=t.filter(y=>y.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(y=>y.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(y=>y.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((f=(i=t.filter(y=>y.size===10))==null?void 0:i[1])==null?void 0:f.data()),eyeR:await((m=(d=t.filter(y=>y.size===142))==null?void 0:d[1])==null?void 0:m.data())};for(let y of Object.values(n))if(!y)return e;let o=e2.reduce((y,u)=>y+=e[u][2],0)/e2.length;for(let y=0;yy+=e[u][2],0)/t2.length;for(let y=0;yv()-ge.timestamp,o=ge.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||ge.boxes.length===0?(ge.boxes=await w3(e,t),ge.timestamp=v(),ge.skipped=0):ge.skipped++;let r=[],s=[],A=0,a=W2;for(let g=0;g[N[0]/(e.shape[2]||0),N[1]/(e.shape[1]||0),(N[2]||0)/a]);for(let N of Object.keys(_e))P.annotations[N]=[P.mesh[_e[N]]]}else if(!r0)t.debug&&h("face mesh detection requested, but model is not loaded");else{if((d=t.face.attention)!=null&&d.enabled&&!R.kernels.includes("atan2"))return t.face.attention.enabled=!1,De.dispose(P.tensor),r;let N=r0.execute(P.tensor),_=await N.find(Z=>Z.shape[Z.shape.length-1]===1).data();if(P.faceScore=Math.round(100*_[0])/100,P.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(p.confidence=P.faceScore,t.face.mesh.keepInvalid){P.box=xt(p,e),P.boxRaw=yt(p,e),P.score=P.boxScore,P.mesh=p.landmarks,P.meshRaw=P.mesh.map(Z=>[Z[0]/(e.shape[2]||1),Z[1]/(e.shape[1]||1),(Z[2]||0)/a]);for(let Z of Object.keys(_e))P.annotations[Z]=[P.mesh[_e[Z]]]}}else{let Z=N.find(t0=>t0.shape[t0.shape.length-1]===1404),$=De.reshape(Z,[-1,3]),A0=await $.array();De.dispose($),(y=t.face.attention)!=null&&y.enabled?A0=await L3(A0,N):(u=t.face.iris)!=null&&u.enabled&&(A0=await N3(A0,P.tensor,W2)),P.mesh=T3(A0,p,b,k,W2),P.meshRaw=P.mesh.map(t0=>[t0[0]/(e.shape[2]||0),t0[1]/(e.shape[1]||0),(t0[2]||0)/a]);for(let t0 of Object.keys(ae))P.annotations[t0]=ae[t0].map(j0=>P.mesh[j0]);P.score=P.faceScore;let n0={...R3(P.mesh,p),confidence:p.confidence,landmarks:p.landmarks,size:p.size};P.box=xt(n0,e),P.boxRaw=yt(n0,e),s.push(n0)}De.dispose(N)}P.score>(((T=t.face.detector)==null?void 0:T.minConfidence)||1)?r.push(P):De.dispose(P.tensor)}return ge.boxes=s,r}async function W3(e){var t,n,o,r,s,A;return R.initial&&(r0=null),(t=e.face.attention)!=null&&t.enabled&&(r0!=null&&r0.signature)&&Object.keys(((n=r0==null?void 0:r0.signature)==null?void 0:n.outputs)||{}).length<6&&(r0=null),r0?e.debug&&h("cached model:",r0.modelUrl):(o=e.face.attention)!=null&&o.enabled?r0=await O(e.face.attention.modelPath):r0=await O((r=e.face.mesh)==null?void 0:r.modelPath),W2=r0.executor&&((s=r0==null?void 0:r0.inputs)!=null&&s[0].shape)?(A=r0==null?void 0:r0.inputs)==null?void 0:A[0].shape[2]:256,r0}var D3=$e,F3=L2;var J0=G(H());var z5=[],P0,ht=[],B3=0,H3=0,E5=Number.MAX_SAFE_INTEGER,S5=!1;async function G3(e){var t,n,o;return R.initial&&(P0=null),P0?e.debug&&h("cached model:",P0.modelUrl):(P0=await O((t=e.face.emotion)==null?void 0:t.modelPath),S5=((o=(n=P0==null?void 0:P0.inputs)==null?void 0:n[0].shape)==null?void 0:o[3])===3,S5?z5=["angry","disgust","fear","happy","neutral","sad","surprise"]:z5=["angry","disgust","fear","happy","sad","surprise","neutral"]),P0}async function j5(e,t,n,o){var A,a;if(!P0)return[];let r=E5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>v()-H3;return t.skipAllowed&&s&&r&&B3===o&&ht[n]&&ht[n].length>0?(E5++,ht[n]):(E5=0,new Promise(async l=>{var x,i,f;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let d={},m=P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0;if(((i=t.face.emotion)==null?void 0:i.crop)>0){let u=(f=t.face.emotion)==null?void 0:f.crop,T=[[u,u,1-u,1-u]];d.resize=J0.image.cropAndResize(e,T,[0],[m,m])}else d.resize=J0.image.resizeBilinear(e,[m,m],!1);S5?(d.mul=J0.mul(d.resize,255),d.normalize=J0.sub(d.mul,[103.939,116.779,123.68]),d.emotion=P0==null?void 0:P0.execute(d.normalize)):(d.channels=J0.mul(d.resize,C.rgb),d.grayscale=J0.sum(d.channels,3,!0),d.grayscaleSub=J0.sub(d.grayscale,C.tf05),d.grayscaleMul=J0.mul(d.grayscaleSub,C.tf2),d.emotion=P0==null?void 0:P0.execute(d.grayscaleMul)),H3=v();let y=await d.emotion.data();for(let u=0;u(t.face.emotion.minConfidence||0)&&c.push({score:Math.min(.99,Math.trunc(100*y[u])/100),emotion:z5[u]});c.sort((u,T)=>T.score-u.score),Object.keys(d).forEach(u=>J0.dispose(d[u]))}ht[n]=c,B3=o,l(c)}))}var ie=G(H());var k0,Fe=[],Z3=0,q3=0,I5=Number.MAX_SAFE_INTEGER;async function X3(e){var t;return R.initial&&(k0=null),k0?e.debug&&h("cached model:",k0.modelUrl):k0=await O((t=e.face.description)==null?void 0:t.modelPath),k0}function uA(e,t){var s,A;let n=e.image||e.tensor||e;if(!(k0!=null&&k0.inputs[0].shape))return n;let o;if(((s=t.face.description)==null?void 0:s.crop)>0){let a=(A=t.face.description)==null?void 0:A.crop,l=[[a,a,1-a,1-a]];o=ie.image.cropAndResize(n,l,[0],[k0.inputs[0].shape[2],k0.inputs[0].shape[1]])}else o=ie.image.resizeBilinear(n,[k0.inputs[0].shape[2],k0.inputs[0].shape[1]],!1);let r=ie.mul(o,C.tf255);return ie.dispose(o),r}async function N5(e,t,n,o){var a,l,c,x;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(k0!=null&&k0.executor))return r;let s=I5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),A=(((l=t.face.description)==null?void 0:l.skipTime)||0)>v()-Z3;return t.skipAllowed&&s&&A&&q3===o&&((c=Fe==null?void 0:Fe[n])==null?void 0:c.age)>0&&((x=Fe==null?void 0:Fe[n])==null?void 0:x.genderScore)>0?(I5++,Fe[n]):(I5=0,new Promise(async i=>{var f;if((f=t.face.description)!=null&&f.enabled){let d=uA(e,t),m=k0==null?void 0:k0.execute(d);Z3=v(),ie.dispose(d);let u=await m.find(V=>V.shape[1]===1).data(),T=Math.trunc(200*Math.abs(u[0]-.5))/100;T>(t.face.description.minConfidence||0)&&(r.gender=u[0]<=.5?"female":"male",r.genderScore=Math.min(.99,T));let g=ie.argMax(m.find(V=>V.shape[1]===100),1),p=(await g.data())[0];ie.dispose(g);let k=await m.find(V=>V.shape[1]===100).data();r.age=Math.round(k[p-1]>k[p+1]?10*p-100*k[p-1]:10*p+100*k[p+1])/10,(Number.isNaN(u[0])||Number.isNaN(k[0]))&&h("faceres error:",{model:k0,result:m});let P=m.find(V=>V.shape[1]===1024),N=P?await P.data():[];r.descriptor=Array.from(N),m.forEach(V=>ie.dispose(V))}Fe[n]=r,q3=o,i(r)}))}var g2=.1,O5=.5;function hA(e,t,n){let o=!1,r=n.length-1;for(let s=0;st!=n[r].y>t&&e<(n[r].x-n[s].x)*(t-n[s].y)/(n[r].y-n[s].y)+n[s].x&&(o=!o);return o}async function Y3(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,n=e.tensor.shape[1]||0,o=await e.tensor.buffer(),r=[];for(let A of ae.silhouette)r.push({x:(e.mesh[A][0]-e.box[0])/e.box[2],y:(e.mesh[A][1]-e.box[1])/e.box[3]});g2&&g2>0&&(r=r.map(A=>({x:A.x>.5?A.x+g2:A.x-g2,y:A.y>.5?A.y+g2:A.y-g2})));for(let A=0;Av()-J3,s=L5<(((a=t.face.antispoof)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&K3===o&&bt[n]?(L5++,bt[n]):(L5=0,new Promise(async l=>{let c=gt.image.resizeBilinear(e,[w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[2]:0,w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[1]:0],!1),x=w0==null?void 0:w0.execute(c),i=(await x.data())[0];bt[n]=Math.round(100*i)/100,K3=o,J3=v(),gt.dispose([c,x]),l(bt[n])}))}var vt=G(H());var E0,Tt=[],W5=Number.MAX_SAFE_INTEGER,$3=0,en=0;async function tn(e){var t;return R.initial&&(E0=null),E0?e.debug&&h("cached model:",E0.modelUrl):E0=await O((t=e.face.liveness)==null?void 0:t.modelPath),E0}async function D5(e,t,n,o){var A,a;if(!(E0!=null&&E0.executor))return 0;let r=(((A=t.face.liveness)==null?void 0:A.skipTime)||0)>v()-en,s=W5<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&$3===o&&Tt[n]?(W5++,Tt[n]):(W5=0,new Promise(async l=>{let c=vt.image.resizeBilinear(e,[E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[2]:0,E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[1]:0],!1),x=E0==null?void 0:E0.execute(c),i=(await x.data())[0];Tt[n]=Math.round(100*i)/100,$3=o,en=v(),vt.dispose([c,x]),l(Tt[n])}))}var Rt=G(H());var le,F5=[],gA=["white","black","asian","indian","other"],TA=[15,23,28,35.5,45.5,55.5,65],on=0,rn=0,B5=Number.MAX_SAFE_INTEGER;async function sn(e){var t;return R.initial&&(le=null),le?e.debug&&h("cached model:",le.modelUrl):le=await O((t=e.face.gear)==null?void 0:t.modelPath),le}async function H5(e,t,n,o){var A,a;if(!le)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=B5<(((A=t.face.gear)==null?void 0:A.skipFrames)||0),s=(((a=t.face.gear)==null?void 0:a.skipTime)||0)>v()-rn;return t.skipAllowed&&s&&r&&on===o&&F5[n]?(B5++,F5[n]):(B5=0,new Promise(async l=>{var T,g,p,b;if(!(le!=null&&le.inputs[0].shape))return;let c={},x=[[0,.1,.9,.9]];if(((T=t.face.gear)==null?void 0:T.crop)>0){let k=(g=t.face.gear)==null?void 0:g.crop;x=[[k,k,1-k,1-k]]}c.resize=Rt.image.cropAndResize(e,x,[0],[le.inputs[0].shape[2],le.inputs[0].shape[1]]);let i={age:0,gender:"unknown",genderScore:0,race:[]};(p=t.face.gear)!=null&&p.enabled&&([c.age,c.gender,c.race]=le.execute(c.resize,["age_output","gender_output","race_output"]));let f=await c.gender.data();i.gender=f[0]>f[1]?"male":"female",i.genderScore=Math.round(100*(f[0]>f[1]?f[0]:f[1]))/100;let d=await c.race.data();for(let k=0;k(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&i.race.push({score:Math.round(100*d[k])/100,race:gA[k]});i.race.sort((k,P)=>P.score-k.score);let y=Array.from(await c.age.data()).map((k,P)=>[TA[P],k]).sort((k,P)=>P[1]-k[1]),u=y[0][0];for(let k=1;kRt.dispose(c[k])),F5[n]=i,on=o,rn=v(),l(i)}))}var s2=G(H());var H0,Mt=[],an=0,ln=0,G5=Number.MAX_SAFE_INTEGER;async function cn(e){return R.initial&&(H0=null),H0?e.debug&&h("cached model:",H0.modelUrl):H0=await O(e.face.ssrnet.modelPathAge),H0}async function V5(e,t,n,o){var A,a,l,c;if(!H0)return{age:0};let r=G5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-ln;return t.skipAllowed&&r&&s&&an===o&&((l=Mt[n])!=null&&l.age)&&((c=Mt[n])==null?void 0:c.age)>0?(G5++,Mt[n]):(G5=0,new Promise(async x=>{var d,m,y;if(!(H0!=null&&H0.inputs)||!H0.inputs[0]||!H0.inputs[0].shape)return;let i={};if(((d=t.face.ssrnet)==null?void 0:d.crop)>0){let u=(m=t.face.ssrnet)==null?void 0:m.crop,T=[[u,u,1-u,1-u]];i.resize=s2.image.cropAndResize(e,T,[0],[H0.inputs[0].shape[2],H0.inputs[0].shape[1]])}else i.resize=s2.image.resizeBilinear(e,[H0.inputs[0].shape[2],H0.inputs[0].shape[1]],!1);i.enhance=s2.mul(i.resize,C.tf255);let f={age:0};if((y=t.face.ssrnet)!=null&&y.enabled&&(i.age=H0.execute(i.enhance)),i.age){let u=await i.age.data();f.age=Math.trunc(10*u[0])/10}Object.keys(i).forEach(u=>s2.dispose(i[u])),Mt[n]=f,an=o,ln=v(),x(f)}))}var v0=G(H());var N0,Pt=[],xn=0,yn=0,Z5=Number.MAX_SAFE_INTEGER,q5=[.2989,.587,.114];async function fn(e){var t;return R.initial&&(N0=null),N0?e.debug&&h("cached model:",N0.modelUrl):N0=await O((t=e.face.ssrnet)==null?void 0:t.modelPathGender),N0}async function X5(e,t,n,o){var A,a,l,c;if(!N0)return{gender:"unknown",genderScore:0};let r=Z5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-yn;return t.skipAllowed&&r&&s&&xn===o&&((l=Pt[n])!=null&&l.gender)&&((c=Pt[n])==null?void 0:c.genderScore)>0?(Z5++,Pt[n]):(Z5=0,new Promise(async x=>{var m,y,u;if(!(N0!=null&&N0.inputs[0].shape))return;let i={};if(((m=t.face.ssrnet)==null?void 0:m.crop)>0){let T=(y=t.face.ssrnet)==null?void 0:y.crop,g=[[T,T,1-T,1-T]];i.resize=v0.image.cropAndResize(e,g,[0],[N0.inputs[0].shape[2],N0.inputs[0].shape[1]])}else i.resize=v0.image.resizeBilinear(e,[N0.inputs[0].shape[2],N0.inputs[0].shape[1]],!1);i.enhance=v0.tidy(()=>{var g,p;let T;if(((p=(g=N0==null?void 0:N0.inputs)==null?void 0:g[0].shape)==null?void 0:p[3])===1){let[b,k,P]=v0.split(i.resize,3,3),N=v0.mul(b,q5[0]),V=v0.mul(k,q5[1]),_=v0.mul(P,q5[2]),Z=v0.addN([N,V,_]);T=v0.mul(v0.sub(Z,C.tf05),2)}else T=v0.mul(v0.sub(i.resize,C.tf05),2);return T});let f={gender:"unknown",genderScore:0};(u=t.face.ssrnet)!=null&&u.enabled&&(i.gender=N0.execute(i.enhance));let d=await i.gender.data();f.gender=d[0]>d[1]?"female":"male",f.genderScore=d[0]>d[1]?Math.trunc(100*d[0])/100:Math.trunc(100*d[1])/100,Object.keys(i).forEach(T=>v0.dispose(i[T])),Pt[n]=f,xn=o,yn=v(),x(f)}))}var kt=G(H());var Q0,U5=[],pn=0,un=0,hn=Number.MAX_SAFE_INTEGER;async function bn(e){var t;return R.initial&&(Q0=null),Q0?e.debug&&h("cached model:",Q0.modelUrl):Q0=await O((t=e.face.mobilefacenet)==null?void 0:t.modelPath),Q0}async function Y5(e,t,n,o){var A,a;if(!(Q0!=null&&Q0.executor))return[];let r=hn<(((A=t.face.mobilefacenet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.mobilefacenet)==null?void 0:a.skipTime)||0)>v()-un;return t.skipAllowed&&s&&r&&pn===o&&U5[n]?(hn++,U5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.mobilefacenet)!=null&&x.enabled&&(Q0!=null&&Q0.inputs[0].shape)){let i={};i.crop=kt.image.resizeBilinear(e,[Q0.inputs[0].shape[2],Q0.inputs[0].shape[1]],!1),i.data=Q0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>kt.dispose(i[d]))}U5[n]=c,pn=o,un=v(),l(c)})}var wt=G(H());var _0,K5=[],Tn=0,vn=0,Rn=Number.MAX_SAFE_INTEGER;async function Mn(e){return R.initial&&(_0=null),_0?e.debug&&h("cached model:",_0.modelUrl):_0=await O(e.face.insightface.modelPath),_0}async function J5(e,t,n,o){var A,a;if(!(_0!=null&&_0.executor))return[];let r=Rn<(((A=t.face.insightface)==null?void 0:A.skipFrames)||0),s=(((a=t.face.insightface)==null?void 0:a.skipTime)||0)>v()-vn;return t.skipAllowed&&s&&r&&Tn===o&&K5[n]?(Rn++,K5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.insightface)!=null&&x.enabled&&(_0!=null&&_0.inputs[0].shape)){let i={};i.crop=wt.image.resizeBilinear(e,[_0.inputs[0].shape[2],_0.inputs[0].shape[1]],!1),i.data=_0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>wt.dispose(i[d]))}K5[n]=c,Tn=o,vn=v(),l(c)})}var vA=e=>{let t=(i,f)=>Math.atan2(i[1]-f[1],i[0]-f[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],A=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],a=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(A[0]-s[0])/a[0]-n[0],o*(s[1]-A[1])/a[1]-n[1]],c=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return c=Math.min(c,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:c}},kn=(e,t)=>{let n=y=>{let u=Math.sqrt(y[0]*y[0]+y[1]*y[1]+y[2]*y[2]);return y[0]/=u,y[1]/=u,y[2]/=u,y},o=(y,u)=>{let T=y[0]-u[0],g=y[1]-u[1],p=y[2]-u[2];return[T,g,p]},r=(y,u)=>{let T=y[1]*u[2]-y[2]*u[1],g=y[2]*u[0]-y[0]*u[2],p=y[0]*u[1]-y[1]*u[0];return[T,g,p]},s=y=>{let[u,T,g,p,b,k,P,N,V]=y,_,Z,$;return p<1?p>-1?($=Math.asin(p),Z=Math.atan2(-P,u),_=Math.atan2(-k,b)):($=-Math.PI/2,Z=-Math.atan2(N,V),_=0):($=Math.PI/2,Z=Math.atan2(N,V),_=0),Number.isNaN(_)&&(_=0),Number.isNaN(Z)&&(Z=0),Number.isNaN($)&&($=0),{pitch:2*-_,yaw:2*-Z,roll:2*-$}},A=e.meshRaw;if(!A||A.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let a=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[A[10],A[152],A[234],A[454]].map(y=>[y[0]*t[0]/a,y[1]*t[1]/a,y[2]]),c=n(o(l[1],l[0])),x=n(o(l[3],l[2])),i=n(r(x,c));x=r(c,i);let f=[x[0],x[1],x[2],c[0],c[1],c[2],i[0],i[1],i[2]],d=s(f),m=A.length===478?vA(e):{bearing:0,strength:0};return{angle:d,matrix:f,gaze:m}};function wn(e,t){let n=e==null?void 0:e.annotations;if(!(n!=null&&n.leftEyeIris)||!(n!=null&&n.rightEyeIris))return 0;let o=Math.max(Math.abs(n.leftEyeIris[3][0]-n.leftEyeIris[1][0]),Math.abs(n.rightEyeIris[3][0]-n.rightEyeIris[1][0]))/t;return Math.round(1.17/o)/100}var Q5=async(e,t)=>{var m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;let n=v(),o,r,s,A,a,l,c,x,i,f=[];e.state="run:face";let d=await C3(t,e.config);if(e.performance.face=R.perfadd?(e.performance.face||0)+Math.trunc(v()-n):Math.trunc(v()-n),!t.shape||t.shape.length!==4)return[];if(!d)return[];for(let E=0;E200?kn(d[E],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?A=(y=e.config.face.emotion)!=null&&y.enabled?j5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[]:(e.state="run:emotion",n=v(),A=(u=e.config.face.emotion)!=null&&u.enabled?await j5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[],e.performance.emotion=R.perfadd?(e.performance.emotion||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?c=(T=e.config.face.antispoof)!=null&&T.enabled?C5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:antispoof",n=v(),c=(g=e.config.face.antispoof)!=null&&g.enabled?await C5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.antispoof=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?x=(p=e.config.face.liveness)!=null&&p.enabled?D5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:liveness",n=v(),x=(b=e.config.face.liveness)!=null&&b.enabled?await D5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.liveness=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(k=e.config.face.gear)!=null&&k.enabled?H5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:gear",n=v(),r=(P=e.config.face.gear)!=null&&P.enabled?await H5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.gear=Math.trunc(v()-n)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(o=(N=e.config.face.ssrnet)!=null&&N.enabled?V5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(V=e.config.face.ssrnet)!=null&&V.enabled?X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null):(e.state="run:ssrnet",n=v(),o=(_=e.config.face.ssrnet)!=null&&_.enabled?await V5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(Z=e.config.face.ssrnet)!=null&&Z.enabled?await X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.ssrnet=Math.trunc(v()-n)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?a=($=e.config.face.mobilefacenet)!=null&&$.enabled?Y5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),a=(A0=e.config.face.mobilefacenet)!=null&&A0.enabled?await Y5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(n0=e.config.face.insightface)!=null&&n0.enabled?J5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),l=(t0=e.config.face.insightface)!=null&&t0.enabled?await J5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?i=N5(d[E].tensor||l0.tensor([]),e.config,E,d.length):(e.state="run:description",n=v(),i=await N5(d[E].tensor||l0.tensor([]),e.config,E,d.length),e.performance.description=R.perfadd?(e.performance.description||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Description:"),e.config.async&&([o,s,A,a,l,i,r,c,x]=await Promise.all([o,s,A,a,l,i,r,c,x])),e.analyze("Finish Face:"),(j0=e.config.face.ssrnet)!=null&&j0.enabled&&o&&s&&(i={...i,age:o.age,gender:s.gender,genderScore:s.genderScore}),(M=e.config.face.gear)!=null&&M.enabled&&r&&(i={...i,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),(T0=e.config.face.mobilefacenet)!=null&&T0.enabled&&a&&(i.descriptor=a),(C0=e.config.face.insightface)!=null&&C0.enabled&&l&&(i.descriptor=l);let q=(x0=e.config.face.iris)!=null&&x0.enabled?wn(d[E],t.shape[2]):0,U0=(K=e.config.face.detector)!=null&&K.return?l0.squeeze(d[E].tensor):null;l0.dispose(d[E].tensor),d[E].tensor&&delete d[E].tensor;let y0={...d[E],id:E};i.age&&(y0.age=i.age),i.gender&&(y0.gender=i.gender),i.genderScore&&(y0.genderScore=i.genderScore),i.descriptor&&(y0.embedding=i.descriptor),i.race&&(y0.race=i.race),A&&(y0.emotion=A),c&&(y0.real=c),x&&(y0.live=x),q>0&&(y0.distance=q),B&&(y0.rotation=B),U0&&(y0.tensor=U0),f.push(y0),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),f};var G0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>G0.nameMapping[e],getPoints:e=>G0.pointsMapping[e]},He={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>He.nameMapping[e]},c0={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>c0.nameMapping[e]},Be=class{constructor(t){w(this,"name");w(this,"curls");w(this,"directions");w(this,"weights");w(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,n,o){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([n,o])}direction(t,n,o){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([n,o])}weight(t,n){this.weights[t]=n;let o=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/o)}matchAgainst(t,n){let o=0;for(let r in t){let s=t[r],A=this.curls[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}for(let r in n){let s=n[r],A=this.directions[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}return o/10}};var{thumb:fe,index:Pe,middle:ke,ring:A2,pinky:a2}=G0,{none:me,half:MA,full:pe}=He,{verticalUp:T2,verticalDown:Ki,horizontalLeft:_5,horizontalRight:PA,diagonalUpRight:kA,diagonalUpLeft:v2,diagonalDownRight:Ji,diagonalDownLeft:Qi}=c0,Ge=new Be("thumbs up");Ge.curl(fe,me,1);Ge.direction(fe,T2,1);Ge.direction(fe,v2,.25);Ge.direction(fe,kA,.25);for(let e of[G0.index,G0.middle,G0.ring,G0.pinky])Ge.curl(e,pe,1),Ge.direction(e,_5,1),Ge.direction(e,PA,1);var h0=new Be("victory");h0.curl(fe,MA,.5);h0.curl(fe,me,.5);h0.direction(fe,T2,1);h0.direction(fe,v2,1);h0.curl(Pe,me,1);h0.direction(Pe,T2,.75);h0.direction(Pe,v2,1);h0.curl(ke,me,1);h0.direction(ke,T2,1);h0.direction(ke,v2,.75);h0.curl(A2,pe,1);h0.direction(A2,T2,.2);h0.direction(A2,v2,1);h0.direction(A2,_5,.2);h0.curl(a2,pe,1);h0.direction(a2,T2,.2);h0.direction(a2,v2,1);h0.direction(a2,_5,.2);h0.weight(Pe,2);h0.weight(ke,2);var Ve=new Be("point");Ve.curl(fe,pe,1);Ve.curl(Pe,me,.5);Ve.curl(ke,pe,.5);Ve.curl(A2,pe,.5);Ve.curl(a2,pe,.5);Ve.weight(Pe,2);Ve.weight(ke,2);var Ze=new Be("middle finger");Ze.curl(fe,me,1);Ze.curl(Pe,pe,.5);Ze.curl(ke,pe,.5);Ze.curl(A2,pe,.5);Ze.curl(a2,pe,.5);Ze.weight(Pe,2);Ze.weight(ke,2);var R2=new Be("open palm");R2.curl(fe,me,.75);R2.curl(Pe,me,.75);R2.curl(ke,me,.75);R2.curl(A2,me,.75);R2.curl(a2,me,.75);var En=[Ge,h0,Ve,Ze,R2];var wA=.7,i2={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function zn(e,t,n,o){let r=(t-o)/(e-n),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function jn(e,t){if(!e||!t)return[0,0];let n=zn(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let o=zn(e[1],e[2],t[1],t[2]);return[n,o]}function Sn(e,t=1){let n=0,o=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?o=1*t:r=1*t,[n,o,r]}function EA(e,t,n){let o=e[0]-t[0],r=e[0]-n[0],s=t[0]-n[0],A=e[1]-t[1],a=e[1]-n[1],l=t[1]-n[1],c=e[2]-t[2],x=e[2]-n[2],i=t[2]-n[2],f=Math.sqrt(o*o+A*A+c*c),d=Math.sqrt(r*r+a*a+x*x),m=Math.sqrt(s*s+l*l+i*i),y=(m*m+f*f-d*d)/(2*m*f);y>1?y=1:y<-1&&(y=-1);let u=Math.acos(y);u=57.2958*u%180;let T;return u>i2.NO_CURL_START_LIMIT?T=He.none:u>i2.HALF_CURL_START_LIMIT?T=He.half:T=He.full,T}function In(e,t,n,o){let r;return o===Math.abs(e)?e>0?r=c0.horizontalLeft:r=c0.horizontalRight:o===Math.abs(t)?t>0?r=c0.horizontalLeft:r=c0.horizontalRight:n>0?r=c0.horizontalLeft:r=c0.horizontalRight,r}function Nn(e,t,n,o){let r;return o===Math.abs(e)?e<0?r=c0.verticalDown:r=c0.verticalUp:o===Math.abs(t)?t<0?r=c0.verticalDown:r=c0.verticalUp:n<0?r=c0.verticalDown:r=c0.verticalUp,r}function zA(e,t,n,o,r,s,A,a){let l,c=Nn(e,t,n,o),x=In(r,s,A,a);return c===c0.verticalUp?x===c0.horizontalLeft?l=c0.diagonalUpLeft:l=c0.diagonalUpRight:x===c0.horizontalLeft?l=c0.diagonalDownLeft:l=c0.diagonalDownRight,l}function SA(e,t,n,o){let r=e[0]-t[0],s=e[0]-n[0],A=t[0]-n[0],a=e[1]-t[1],l=e[1]-n[1],c=t[1]-n[1],x=Math.max(Math.abs(r),Math.abs(s),Math.abs(A)),i=Math.max(Math.abs(a),Math.abs(l),Math.abs(c)),f=0,d=0,m=0,y=i/(x+1e-5);y>1.5?f+=i2.DISTANCE_VOTE_POWER:y>.66?d+=i2.DISTANCE_VOTE_POWER:m+=i2.DISTANCE_VOTE_POWER;let u=Math.sqrt(r*r+a*a),T=Math.sqrt(s*s+l*l),g=Math.sqrt(A*A+c*c),p=Math.max(u,T,g),b=e[0],k=e[1],P=n[0],N=n[1];p===u?(P=n[0],N=n[1]):p===g&&(b=t[0],k=t[1]);let Z=jn([b,k],[P,N]),$=Sn(Z,i2.TOTAL_ANGLE_VOTE_POWER);f+=$[0],d+=$[1],m+=$[2];for(let n0 of o){let t0=Sn(n0,i2.SINGLE_ANGLE_VOTE_POWER);f+=t0[0],d+=t0[1],m+=t0[2]}let A0;return f===Math.max(f,d,m)?A0=Nn(l,a,c,i):m===Math.max(d,m)?A0=In(s,r,A,x):A0=zA(l,a,c,i,s,r,A,x),A0}function On(e){let t=[],n=[],o=[],r=[];if(!e)return{curls:o,directions:r};for(let s of G0.all){let A=G0.getPoints(s),a=[],l=[];for(let c of A){let x=e[c[0]],i=e[c[1]],f=jn(x,i),d=f[0],m=f[1];a.push(d),l.push(m)}t.push(a),n.push(l)}for(let s of G0.all){let A=s===G0.thumb?1:0,a=G0.getPoints(s),l=e[a[A][0]],c=e[a[A+1][1]],x=e[a[3][1]],i=EA(l,c,x),f=SA(l,c,x,t[s].slice(A));o[s]=i,r[s]=f}return{curls:o,directions:r}}function Et(e){if(!e||e.length===0)return null;let t=On(e),n={};for(let o of G0.all)n[G0.getName(o)]={curl:He.getName(t.curls[o]),direction:c0.getName(t.directions[o])};return n}function Ln(e){let t=[];if(!e||e.length===0)return t;let n=On(e);for(let o of En){let r=o.matchAgainst(n.curls,n.directions);r>=wA&&t.push({name:o.name,confidence:r})}return t}var Cn=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),r=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&o&&r&&o.position[1]l.part==="leftShoulder"),a=e[n].keypoints.find(l=>l.part==="rightShoulder");A&&a&&Math.abs(A.positionRaw[1]-a.positionRaw[1])>.1&&t.push({body:n,gesture:`leaning ${A.position[1]>a.position[1]?"left":"right"}`})}return t},Wn=e=>{if(!e)return[];let t=[];for(let n=0;n450){let o=(e[n].mesh[33][2]||0)-(e[n].mesh[263][2]||0),r=e[n].mesh[33][0]-e[n].mesh[263][0];Math.abs(o/r)<=.15?t.push({face:n,gesture:"facing center"}):t.push({face:n,gesture:`facing ${o<0?"left":"right"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));a>10&&t.push({face:n,gesture:`mouth ${Math.trunc(a)}% open`});let l=e[n].mesh[152][2]||0;Math.abs(l)>10&&t.push({face:n,gesture:`head ${l<0?"up":"down"}`})}return t},Dn=e=>{var n,o,r,s;if(!e)return[];let t=[];for(let A=0;A.06||u>.06)&&(d=!1),y>u?y>.05&&t.push({iris:A,gesture:"looking right"}):u>.05&&t.push({iris:A,gesture:"looking left"});let T=Math.abs(e[A].mesh[145][1]-e[A].annotations.rightEyeIris[0][1])/e[A].box[3],g=Math.abs(e[A].mesh[374][1]-e[A].annotations.leftEyeIris[0][1])/e[A].box[3];(g<.01||T<.01||g>.022||T>.022)&&(d=!1),(g<.01||T<.01)&&t.push({iris:A,gesture:"looking down"}),(g>.022||T>.022)&&t.push({iris:A,gesture:"looking up"}),d&&t.push({iris:A,gesture:"looking center"})}return t},Fn=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=o.reduce((A,a)=>(A.position[2]||0)<(a.position[2]||0)?A:a);t.push({hand:n,gesture:`${r.name} forward`});let s=o.reduce((A,a)=>A.position[1][s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:r,confidence:e.confidence}}function St(e,t=1.5){let n=D2(e),o=zt(e),r=[t*o[0]/2,t*o[1]/2],s=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function jt(e){let t=D2(e),n=zt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function IA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function qn(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return IA(n)}var Bn=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function qe(e,t){let n=0;for(let o=0;o[A.x,A.y]),this.anchorsTensor=W.tensor2d(this.anchors),this.inputSize=((s=(r=(o=(n=this==null?void 0:this.model)==null?void 0:n.inputs)==null?void 0:o[0])==null?void 0:r.shape)==null?void 0:s[2])||0,this.inputSizeTensor=W.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=W.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let n={};n.boxOffsets=W.slice(t,[0,0],[-1,2]),n.boxSizes=W.slice(t,[0,2],[-1,2]),n.div=W.div(n.boxOffsets,this.inputSizeTensor),n.boxCenterPoints=W.add(n.div,this.anchorsTensor),n.halfBoxSizes=W.div(n.boxSizes,this.doubleInputSizeTensor),n.sub=W.sub(n.boxCenterPoints,n.halfBoxSizes),n.startPoints=W.mul(n.sub,this.inputSizeTensor),n.add=W.add(n.boxCenterPoints,n.halfBoxSizes),n.endPoints=W.mul(n.add,this.inputSizeTensor);let o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),f=x.slice(2,4),d=await c.palmLandmarks.array(),m={startPoint:i,endPoint:f,palmLandmarks:d,confidence:r[l]},y=Zn(m,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(y),Object.keys(c).forEach(u=>W.dispose(c[u]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var $0=G(H());var CA=5,Kn=1.65,Jn=[0,5,9,13,17,1,2],WA=0,DA=2,Qn=0,Nt=class{constructor(t,n){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>t1([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return St(jt(r),CA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=St(jt(n),Kn);o.palmLandmarks=[];for(let r=0;r[A[0]*(d[0]-this.inputSize/2),A[1]*(d[1]-this.inputSize/2),A[2]*d[2]]),l=e1(o,[0,0]),c=a.map(d=>[...t1(d,l),d[2]]),x=Xn(r),i=[...D2(n),1],f=[qe(i,x[0]),qe(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>v()-Qn,A=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&s&&A&&(r=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(o=!0));let a=[];for(let l=0;l=n.hand.minConfidence/4){let k=$0.reshape(p,[-1,3]),P=await k.array();$0.dispose(p),$0.dispose(k);let N=this.transformRawCoords(P,y,x,m),V=this.getBoxForHandLandmarks(N);this.storedBoxes[l]={...V,confidence:b};let _={landmarks:N,confidence:b,boxConfidence:c.confidence,fingerConfidence:b,box:{topLeft:V.startPoint,bottomRight:V.endPoint}};a.push(_)}else this.storedBoxes[l]=null;$0.dispose(p)}else{let x=St(jt(c),Kn),i={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:x.startPoint,bottomRight:x.endPoint},landmarks:[]};a.push(i)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=a.length,a.length>n.hand.maxDetected&&(a.length=n.hand.maxDetected),a}};var _n={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},l2,c2,$n;async function n1(e,t){let n=await $n.estimateHands(e,t);if(!n)return[];let o=[];for(let r=0;rn[r].landmarks[i]);let A=n[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(A&&A.length>0){for(let x of A)x[0]a[2]&&(a[2]=x[0]),x[1]>a[3]&&(a[3]=x[1]);a[2]-=a[0],a[3]-=a[1],l=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=Et(A);o.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:l,keypoints:A,annotations:s,landmarks:c})}return o}async function eo(e){var n,o;R.initial&&(l2=null,c2=null),!l2||!c2?[l2,c2]=await Promise.all([e.hand.enabled?O((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?O((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&h("cached model:",l2.modelUrl),e.debug&&h("cached model:",c2.modelUrl));let t=l2?new It(l2):void 0;return t&&c2&&($n=new Nt(t,c2)),[l2,c2]}var Q=G(H());var p0=[null,null],BA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Xe=[[0,0],[0,0]],HA=["hand","fist","pinch","point","face","tip","pinchtip"],no=4,oo=1.6,GA=512,VA=1.4,Ot=Number.MAX_SAFE_INTEGER,o1=0,we=[0,0],m0={boxes:[],hands:[]},ro={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function so(e){var t;if(R.initial&&(p0[0]=null),p0[0])e.debug&&h("cached model:",p0[0].modelUrl);else{_2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),p0[0]=await O((t=e.hand.detector)==null?void 0:t.modelPath);let n=p0[0].executor?Object.values(p0[0].modelSignature.inputs):void 0;Xe[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Xe[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[0]}async function Ao(e){var t;if(R.initial&&(p0[1]=null),p0[1])e.debug&&h("cached model:",p0[1].modelUrl);else{p0[1]=await O((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=p0[1].executor?Object.values(p0[1].modelSignature.inputs):void 0;Xe[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Xe[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[1]}async function ZA(e,t){let n=[];if(!e||!p0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,GA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await p0[0].executeAsync(o.cast,BA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[no]),a.splice(no,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let f of Array.from(c)){let d=Q.slice(o.boxes,f,1),m=await d.data();Q.dispose(d);let y=[m[1],m[0],m[3]-m[1],m[2]-m[0]],u=at(y,VA),T=[Math.trunc(y[0]*we[0]),Math.trunc(y[1]*we[1]),Math.trunc(y[2]*we[0]),Math.trunc(y[3]*we[1])],g=x[f],p=HA[i[f]],b={id:l++,score:g,box:T,boxRaw:u,label:p};n.push(b)}return Object.keys(o).forEach(f=>Q.dispose(o[f])),n.sort((f,d)=>d.score-f.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function r1(e,t,n){let o={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&p0[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Q.image.cropAndResize(e,[s],[0],[Xe[1][0],Xe[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=p0[1].execute(r.div,["Identity_1","Identity"]);let A=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(A))))/100;if(a>=(n.hand.minConfidence||0)){o.fingerScore=a,r.reshaped=Q.reshape(r.keypoints,[-1,3]);let x=(await r.reshaped.array()).map(i=>[i[0]/Xe[1][1],i[1]/Xe[1][0],i[2]||0]).map(i=>[i[0]*t.boxRaw[2],i[1]*t.boxRaw[3],i[2]||0]);o.keypoints=x.map(i=>[we[0]*(i[0]+t.boxRaw[0]),we[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=Et(o.keypoints);for(let i of Object.keys(ro))o.annotations[i]=ro[i].map(f=>o.landmarks&&o.keypoints[f]?o.keypoints[f]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function s1(e,t){var r,s;if(!((r=p0[0])!=null&&r.executor)||!((s=p0[1])!=null&&s.executor)||!p0[0].inputs[0].shape||!p0[1].inputs[0].shape)return[];we=[e.shape[2]||0,e.shape[1]||0],Ot++;let n=(t.hand.skipTime||0)>v()-o1,o=Ot<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?m0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>v()-o1,l=Ot<3*(t.hand.skipFrames||0);t.skipAllowed&&m0.hands.length===t.hand.maxDetected?m0.hands=await Promise.all(m0.boxes.map(x=>r1(e,x,t))):t.skipAllowed&&a&&l&&m0.hands.length>0?m0.hands=await Promise.all(m0.boxes.map(x=>r1(e,x,t))):(m0.boxes=await ZA(e,t),o1=v(),m0.hands=await Promise.all(m0.boxes.map(x=>r1(e,x,t))),Ot=0);let c=[...m0.boxes];if(m0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x.05&&i.box[3]/(e.shape[1]||1)>.05&&m0.hands[x].fingerScore&&m0.hands[x].fingerScore>(t.hand.minConfidence||0)){let f=at(i.box,oo),d=at(i.boxRaw,oo);m0.boxes.push({...c[x],box:f,boxRaw:d})}}for(let x=0;x({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var F2={};ze(F2,{connected:()=>Ct,horizontal:()=>A1,kpt:()=>Lt,relative:()=>i1,vertical:()=>a1});var Lt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],A1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],a1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],i1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],Ct={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var z=Te(),l1=0;function io(e,t){var A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0;let n=v();if(!e)return Te();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(z.canvas=e.canvas),e.error&&(z.error=e.error),!z.body||e.body.length!==z.body.length)z.body=JSON.parse(JSON.stringify(e.body));else for(let M=0;M((r-1)*z.body[M].box[q]+B)/r),C0=e.body[M].boxRaw.map((B,q)=>((r-1)*z.body[M].boxRaw[q]+B)/r),x0=e.body[M].keypoints.map((B,q)=>{var U0,y0,Ee,k2,x2,E1,z1,S1,j1;return{score:B.score,part:B.part,position:[z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].position[0]||0)+(B.position[0]||0))/r:B.position[0],z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].position[1]||0)+(B.position[1]||0))/r:B.position[1],z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],z.body[M].keypoints[q]?((r-1)*(z.body[M].keypoints[q].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[z.body[M].keypoints[q]?((r-1)*(((U0=z.body[M].keypoints[q].distance)==null?void 0:U0[0])||0)+(((y0=B.distance)==null?void 0:y0[0])||0))/r:(Ee=B.distance)==null?void 0:Ee[0],z.body[M].keypoints[q]?((r-1)*(((k2=z.body[M].keypoints[q].distance)==null?void 0:k2[1])||0)+(((x2=B.distance)==null?void 0:x2[1])||0))/r:(E1=B.distance)==null?void 0:E1[1],z.body[M].keypoints[q]?((r-1)*(((z1=z.body[M].keypoints[q].distance)==null?void 0:z1[2])||0)+(((S1=B.distance)==null?void 0:S1[2])||0))/r:(j1=B.distance)==null?void 0:j1[2]]}}),K={},E={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?E=ct:(a=t.body.modelPath)!=null&&a.includes("blazepose")?E=st:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(E=F2);for(let[B,q]of Object.entries(E.connected)){let U0=[];for(let y0=0;y0x2.part===q[y0]),k2=x0.find(x2=>x2.part===q[y0+1]);Ee&&k2&&U0.push([Ee.position,k2.position])}K[B]=U0}z.body[M]={...e.body[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.hand||e.hand.length!==z.hand.length)z.hand=JSON.parse(JSON.stringify(e.hand));else for(let M=0;M((r-1)*z.hand[M].box[B]+E)/r),C0=e.hand[M].boxRaw.map((E,B)=>((r-1)*z.hand[M].boxRaw[B]+E)/r);z.hand[M].keypoints.length!==e.hand[M].keypoints.length&&(z.hand[M].keypoints=e.hand[M].keypoints);let x0=e.hand[M].keypoints&&e.hand[M].keypoints.length>0?e.hand[M].keypoints.map((E,B)=>E.map((q,U0)=>((r-1)*(z.hand[M].keypoints[B][U0]||1)+(q||0))/r)):[],K={};if(Object.keys(z.hand[M].annotations).length!==Object.keys(e.hand[M].annotations).length)z.hand[M].annotations=e.hand[M].annotations,K=z.hand[M].annotations;else if(e.hand[M].annotations)for(let E of Object.keys(e.hand[M].annotations))K[E]=(i=(x=(c=e.hand[M])==null?void 0:c.annotations)==null?void 0:x[E])!=null&&i[0]?e.hand[M].annotations[E].map((B,q)=>B.map((U0,y0)=>((r-1)*z.hand[M].annotations[E][q][y0]+U0)/r)):null;z.hand[M]={...e.hand[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.face||e.face.length!==z.face.length)z.face=JSON.parse(JSON.stringify(e.face));else for(let M=0;M((r-1)*z.face[M].box[E]+K)/r),C0=e.face[M].boxRaw.map((K,E)=>((r-1)*z.face[M].boxRaw[E]+K)/r),x0=e.face[M].annotations;if(Object.keys(z.face[M].annotations).length!==Object.keys(e.face[M].annotations).length)z.face[M].annotations=e.face[M].annotations,x0=z.face[M].annotations;else if(e.face[M].annotations)for(let K of Object.keys(e.face[M].annotations))x0[K]=(m=(d=(f=e.face[M])==null?void 0:f.annotations)==null?void 0:d[K])!=null&&m[0]?e.face[M].annotations[K].map((E,B)=>E.map((q,U0)=>((r-1)*z.face[M].annotations[K][B][U0]+q)/r)):null;if(e.face[M].rotation){let K={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};K.matrix=(y=e.face[M].rotation)==null?void 0:y.matrix,K.angle={roll:((r-1)*(((T=(u=z.face[M].rotation)==null?void 0:u.angle)==null?void 0:T.roll)||0)+(((p=(g=e.face[M].rotation)==null?void 0:g.angle)==null?void 0:p.roll)||0))/r,yaw:((r-1)*(((k=(b=z.face[M].rotation)==null?void 0:b.angle)==null?void 0:k.yaw)||0)+(((N=(P=e.face[M].rotation)==null?void 0:P.angle)==null?void 0:N.yaw)||0))/r,pitch:((r-1)*(((_=(V=z.face[M].rotation)==null?void 0:V.angle)==null?void 0:_.pitch)||0)+((($=(Z=e.face[M].rotation)==null?void 0:Z.angle)==null?void 0:$.pitch)||0))/r},K.gaze={bearing:((r-1)*(((A0=z.face[M].rotation)==null?void 0:A0.gaze.bearing)||0)+(((n0=e.face[M].rotation)==null?void 0:n0.gaze.bearing)||0))/r,strength:((r-1)*(((t0=z.face[M].rotation)==null?void 0:t0.gaze.strength)||0)+(((j0=e.face[M].rotation)==null?void 0:j0.gaze.strength)||0))/r},z.face[M]={...e.face[M],rotation:K,box:T0,boxRaw:C0,annotations:x0}}else z.face[M]={...e.face[M],box:T0,boxRaw:C0,annotations:x0}}if(!z.object||e.object.length!==z.object.length)z.object=JSON.parse(JSON.stringify(e.object));else for(let M=0;M((r-1)*z.object[M].box[K]+x0)/r),C0=e.object[M].boxRaw.map((x0,K)=>((r-1)*z.object[M].boxRaw[K]+x0)/r);z.object[M]={...e.object[M],box:T0,boxRaw:C0}}if(e.persons){let M=e.persons;if(!z.persons||M.length!==z.persons.length)z.persons=JSON.parse(JSON.stringify(M));else for(let T0=0;T0((r-1)*z.persons[T0].box[x0]+C0)/r)}e.gesture&&(z.gesture=e.gesture),z.width=e.width,z.height=e.height;let s=v();return l1=R.perfadd?l1+Math.round(s-n):Math.round(s-n),e.performance&&(z.performance={...e.performance,interpolate:l1}),z}var s0=G(H());var O0;async function c1(e){return!O0||R.initial?O0=await O(e.segmentation.modelPath):e.debug&&h("cached model:",O0.modelUrl),O0}async function lo(e,t){var r;if(O0||(O0=await c1(t)),!(O0!=null&&O0.executor)||!((r=O0==null?void 0:O0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=s0.image.resizeBilinear(e,[O0.inputs[0].shape?O0.inputs[0].shape[1]:0,O0.inputs[0].shape?O0.inputs[0].shape[2]:0],!1),n.norm=s0.div(n.resize,C.tf255),n.res=O0.execute(n.norm),n.squeeze=s0.squeeze(n.res,[0]),[n.bgRaw,n.fgRaw]=s0.unstack(n.squeeze,2),n.fg=s0.softmax(n.fgRaw),n.mul=s0.mul(n.fg,C.tf255),n.expand=s0.expandDims(n.mul,2),n.output=s0.image.resizeBilinear(n.expand,[e.shape[1]||0,e.shape[2]||0]);let o;switch(t.segmentation.mode||"default"){case"default":n.input=s0.squeeze(e),n.concat=s0.concat([n.input,n.output],-1),o=s0.cast(n.concat,"int32");break;case"alpha":o=s0.cast(n.output,"int32");break;default:o=s0.tensor(0)}return Object.keys(n).forEach(s=>s0.dispose(n[s])),o}var Wt={};ze(Wt,{distance:()=>d1,find:()=>UA,similarity:()=>XA});function d1(e,t,n={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let o=0;for(let r=0;r{if(e===0)return 1;let s=(1-(t===2?Math.sqrt(e):e**(1/t))/100-n)/(o-n);return Math.max(Math.min(s,1),0)};function XA(e,t,n={order:2,multiplier:25,min:.2,max:.8}){let o=d1(e,t,n);return xo(o,n.order||2,n.min||0,n.max||1)}function UA(e,t,n={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let o=Number.MAX_SAFE_INTEGER,r=-1;for(let A=0;AV2,validateModel:()=>Zt});var B2=G(H());var Ue=G(H());var yo=.005,ee={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function x1(e){for(let t of A1){let n=e.keypoints.findIndex(r=>r.part===t[0]),o=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[0]r&&r.part===t[0]),o=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[1]c&&c.part===t[0]),r=e.keypoints.findIndex(c=>c&&c.part===t[1]),s=e.keypoints.findIndex(c=>c&&c.part===n[0]),A=e.keypoints.findIndex(c=>c&&c.part===n[1]);if(!e.keypoints[s]||!e.keypoints[A])continue;let a=e.keypoints[o]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[o].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[o].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||l[0]>l[1]){let c=e.keypoints[o];e.keypoints[o]=e.keypoints[r],e.keypoints[r]=c}}}function fo(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=Ue.pad(e,ee.padding),n.resize=Ue.image.resizeBilinear(n.pad,[t,t]);let o=Ue.cast(n.resize,"int32");return Object.keys(n).forEach(A=>Ue.dispose(n[A])),o}function po(e,t){e.keypoints=e.keypoints.filter(o=>o==null?void 0:o.position);for(let o of e.keypoints)o.position=[o.position[0]*(t[0]+ee.padding[2][0]+ee.padding[2][1])/t[0]-ee.padding[2][0],o.position[1]*(t[1]+ee.padding[1][0]+ee.padding[1][1])/t[1]-ee.padding[1][0]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1]];let n=Oe(e.keypoints.map(o=>o.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var b0,Dt=0,y1=Number.MAX_SAFE_INTEGER,d2={boxes:[],bodies:[],last:0};async function uo(e){var t;return R.initial&&(b0=null),b0?e.debug&&h("cached model:",b0.modelUrl):(_2(["size"],e),b0=await O(e.body.modelPath)),Dt=b0!=null&&b0.executor&&((t=b0==null?void 0:b0.inputs)!=null&&t[0].shape)?b0.inputs[0].shape[2]:0,Dt<64&&(Dt=256),B2.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&B2.env().set("WEBGL_USE_SHAPES_UNIFORMS",!1),b0}function KA(e,t,n){let o=e[0][0],r=[],s=0;for(let x=0;xt.body.minConfidence){let i=[o[x][1],o[x][0]];r.push({score:Math.round(100*s)/100,part:Lt[x],positionRaw:i,position:[Math.round((n.shape[2]||0)*i[0]),Math.round((n.shape[1]||0)*i[1])]})}s=r.reduce((x,i)=>i.score>x?i.score:x,0);let A=[],a=Oe(r.map(x=>x.position),[n.shape[2],n.shape[1]]),l={};for(let[x,i]of Object.entries(Ct)){let f=[];for(let d=0;du.part===i[d]),y=r.find(u=>u.part===i[d+1]);m&&y&&m.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([m.position,y.position])}l[x]=f}let c={id:0,score:s,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:l};return x1(c),A.push(c),A}function JA(e,t,n){let o=[];for(let r=0;rt.body.minConfidence){let a=[];for(let f=0;f<17;f++){let d=s[3*f+2];if(d>t.body.minConfidence){let m=[s[3*f+1],s[3*f+0]];a.push({part:Lt[f],score:Math.round(100*d)/100,positionRaw:m,position:[Math.round((n.shape[2]||0)*m[0]),Math.round((n.shape[1]||0)*m[1])]})}}let l=[s[51+1],s[51+0],s[51+3]-s[51+1],s[51+2]-s[51+0]],c=[Math.trunc(l[0]*(n.shape[2]||0)),Math.trunc(l[1]*(n.shape[1]||0)),Math.trunc(l[2]*(n.shape[2]||0)),Math.trunc(l[3]*(n.shape[1]||0))],x={};for(let[f,d]of Object.entries(Ct)){let m=[];for(let y=0;yg.part===d[y]),T=a.find(g=>g.part===d[y+1]);u&&T&&u.score>(t.body.minConfidence||0)&&T.score>(t.body.minConfidence||0)&&m.push([u.position,T.position])}x[f]=m}let i={id:r,score:A,box:c,boxRaw:l,keypoints:[...a],annotations:x};x1(i),o.push(i)}}return o.sort((r,s)=>s.score-r.score),o.length>t.body.maxDetected&&(o.length=t.body.maxDetected),o}async function f1(e,t){var r;if(!(b0!=null&&b0.executor)||!((r=b0==null?void 0:b0.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(d2.boxes.length=0),y1++;let n=(t.body.skipTime||0)>v()-d2.last,o=y1<(t.body.skipFrames||0);return t.skipAllowed&&n&&o?d2.bodies:new Promise(async s=>{let A={};y1=0,A.input=mo(e,Dt),A.res=b0==null?void 0:b0.execute(A.input),d2.last=v();let a=await A.res.array();d2.bodies=A.res.shape[2]===17?KA(a,t,e):JA(a,t,e);for(let l of d2.bodies)po(l,[e.shape[2]||1,e.shape[1]||1]),fo(l.keypoints);Object.keys(A).forEach(l=>B2.dispose(A[l])),s(d2.bodies)})}var S0=G(H());var ce,Ft=[],bo=0,m1=Number.MAX_SAFE_INTEGER,Ht=0,Bt=2.5;async function go(e){if(!ce||R.initial){ce=await O(e.object.modelPath);let t=ce!=null&&ce.executor?Object.values(ce.modelSignature.inputs):void 0;Ht=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&h("cached model:",ce.modelUrl);return ce}async function QA(e,t,n){var c,x;let o=0,r=[],s=Ht;for(let i of[1,2,4]){let f=i*13,d=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)===m2.length)),m=await d.array(),y=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)(n.object.minConfidence||0)&&b!==61){let P=(.5+Math.trunc(p%f))/f,N=(.5+Math.trunc(p/f))/f,V=g[p].map(M=>M*(f/i/s)),[_,Z]=[P-Bt/i*V[0],N-Bt/i*V[1]],[$,A0]=[P+Bt/i*V[2]-_,N+Bt/i*V[3]-Z],n0=[_,Z,$,A0];n0=n0.map(M=>Math.max(0,Math.min(M,1)));let t0=[n0[0]*t[0],n0[1]*t[1],n0[2]*t[0],n0[3]*t[1]],j0={id:o++,score:Math.round(100*k)/100,class:b+1,label:m2[b].label,box:t0.map(M=>Math.trunc(M)),boxRaw:n0};r.push(j0)}}S0.dispose([d,y,u,T])}let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),a=r.map(i=>i.score),l=[];if(A&&A.length>0){let i=await S0.image.nonMaxSuppressionAsync(A,a,n.object.maxDetected||0,n.object.iouThreshold,n.object.minConfidence);l=Array.from(await i.data()),S0.dispose(i)}return r=r.filter((i,f)=>l.includes(f)).sort((i,f)=>f.score-i.score),r}async function p1(e,t){if(!(ce!=null&&ce.executor))return[];let n=(t.object.skipTime||0)>v()-bo,o=m1<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&Ft.length>0?(m1++,Ft):(m1=0,!R.kernels.includes("mod")||!R.kernels.includes("sparsetodense")?Ft:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=S0.image.resizeBilinear(e,[Ht,Ht],!1),a=S0.div(A,C.tf255),l=S0.transpose(a,[0,3,1,2]),c;t.object.enabled&&(c=ce.execute(l)),bo=v();let x=await QA(c,s,t);Ft=x,S0.dispose([A,a,l,...c]),r(x)}))}var V0=G(H());var G2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_A=G2.length,H2=G2.reduce((e,t,n)=>(e[t]=n,e),{}),$A=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],V7=$A.map(([e,t])=>[H2[e],H2[t]]),vo=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function Ro(e){let t=e.reduce(({maxX:n,maxY:o,minX:r,minY:s},{position:{x:A,y:a}})=>({maxX:Math.max(n,A),maxY:Math.max(o,a),minX:Math.min(r,A),minY:Math.min(s,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Mo(e,[t,n],[o,r]){let s=t/o,A=n/r,a=(c,x)=>({id:x,score:c.score,boxRaw:[c.box[0]/r,c.box[1]/o,c.box[2]/r,c.box[3]/o],box:[Math.trunc(c.box[0]*A),Math.trunc(c.box[1]*s),Math.trunc(c.box[2]*A),Math.trunc(c.box[3]*s)],keypoints:c.keypoints.map(({score:i,part:f,position:d})=>({score:i,part:f,position:[Math.trunc(d.x*A),Math.trunc(d.y*s)],positionRaw:[d.x/o,d.y/o]})),annotations:{}});return e.map((c,x)=>a(c,x))}var Gt=class{constructor(t,n){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let n=2*t;if(nn?n:e}function Po(e,t,n,o){let r=n-e,s=o-t;return r*r+s*s}function g1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var te,ta=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],Vt=1,M2=16,na=50**2;function ko(e,t,n,o,r,s,A=2){let a=T=>({y:s.get(T.y,T.x,e),x:s.get(T.y,T.x,s.shape[2]/2+e)}),l=(T,g,p)=>({y:b1(Math.round(T.y/M2),0,g-1),x:b1(Math.round(T.x/M2),0,p-1)}),[c,x]=o.shape,i=l(t.position,c,x),f=a(i),m=g1(t.position,f);for(let T=0;T[H2[f],H2[d]]),A=s.map(([,f])=>f),a=s.map(([f])=>f),l=t.shape[2],c=A.length,x=new Array(l),i=h1(e.part,M2,n);x[e.part.id]={score:e.score,part:G2[e.part.id],position:i};for(let f=c-1;f>=0;--f){let d=A[f],m=a[f];x[d]&&!x[m]&&(x[m]=ko(f,x[d],m,t,n,r))}for(let f=0;ft){a=!1;break}if(!a)break}return a}function sa(e,t){let[n,o,r]=t.shape,s=new Gt(n*o*r,({score:A})=>A);for(let A=0;A{var A;let s=(A=r[o])==null?void 0:A.position;return s?Po(n,t,s.y,s.x)<=na:!1})}function Aa(e,t){return t.reduce((o,{position:r,score:s},A)=>(wo(e,r,A)||(o+=s),o),0)/t.length}function aa(e,t,n,o,r,s){let A=[],a=sa(s,t);for(;A.lengthd.score>s);let i=Aa(A,x),f=Ro(x);i>s&&A.push({keypoints:x,box:f,score:Math.round(100*i)/100})}return A}async function T1(e,t){if(!(te!=null&&te.executor))return[];let n=V0.tidy(()=>{if(!te.inputs[0].shape)return[];let A=V0.image.resizeBilinear(e,[te.inputs[0].shape[2],te.inputs[0].shape[1]]),a=V0.sub(V0.div(V0.cast(A,"float32"),127.5),1),c=te.execute(a,ta).map(x=>V0.squeeze(x,[0]));return c[1]=V0.sigmoid(c[1]),c}),o=await Promise.all(n.map(A=>A.buffer()));for(let A of n)V0.dispose(A);let r=aa(o[0],o[1],o[2],o[3],t.body.maxDetected,t.body.minConfidence);return te.inputs[0].shape?Mo(r,[e.shape[1],e.shape[2]],[te.inputs[0].shape[2],te.inputs[0].shape[1]]):[]}async function Eo(e){return!te||R.initial?te=await O(e.body.modelPath):e.debug&&h("cached model:",te.modelUrl),te}var F=G(H());var ve,ia=["fgr","pha","r1o","r2o","r3o","r4o"],g0={},R1=0;function jo(e){F.dispose([g0.r1i,g0.r2i,g0.r3i,g0.r4i,g0.downsample_ratio]),g0.r1i=F.tensor(0),g0.r2i=F.tensor(0),g0.r3i=F.tensor(0),g0.r4i=F.tensor(0),R1=e.segmentation.ratio||.5,g0.downsample_ratio=F.tensor(R1)}async function M1(e){return!ve||R.initial?ve=await O(e.segmentation.modelPath):e.debug&&h("cached model:",ve.modelUrl),jo(e),ve}var So=e=>F.tidy(()=>{let t=F.squeeze(e,[0]),n=F.mul(t,C.tf255);return F.cast(n,"int32")});function v1(e,t){let n=e?So(e):F.fill([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),o=t?So(t):F.fill([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),r=F.concat([n,o],-1);return F.dispose([n,o]),r}function la(e){return F.tidy(()=>{let t={};return t.unstack=F.unstack(e,-1),t.concat=F.concat(t.unstack,1),t.split=F.split(t.concat,4,1),t.stack=F.concat(t.split,2),t.squeeze=F.squeeze(t.stack,[0]),t.expand=F.expandDims(t.squeeze,-1),t.add=F.add(t.expand,1),t.mul=F.mul(t.add,127.5),t.cast=F.cast(t.mul,"int32"),t.tile=F.tile(t.cast,[1,1,3]),t.alpha=F.fill([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),F.concat([t.tile,t.alpha],-1)})}async function Io(e,t){if(ve||(ve=await M1(t)),!(ve!=null&&ve.executor))return null;g0.src=F.div(e,255),R1!==t.segmentation.ratio&&jo(t);let[n,o,r,s,A,a]=await ve.executeAsync(g0,ia),l;switch(t.segmentation.mode||"default"){case"default":l=v1(n,o);break;case"alpha":l=v1(null,o);break;case"foreground":l=v1(n,null);break;case"state":l=la(r);break;default:l=F.tensor(0)}return F.dispose([g0.src,n,o,g0.r1i,g0.r2i,g0.r3i,g0.r4i]),[g0.r1i,g0.r2i,g0.r3i,g0.r4i]=[r,s,A,a],l}var z0=G(H());var L0;async function P1(e){return!L0||R.initial?L0=await O(e.segmentation.modelPath):e.debug&&h("cached model:",L0.modelUrl),L0}async function Oo(e,t){var r;if(L0||(L0=await P1(t)),!(L0!=null&&L0.executor)||!((r=L0==null?void 0:L0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=z0.image.resizeBilinear(e,[L0.inputs[0].shape?L0.inputs[0].shape[1]:0,L0.inputs[0].shape?L0.inputs[0].shape[2]:0],!1),n.norm=z0.div(n.resize,C.tf255),n.res=L0.execute(n.norm),n.squeeze=z0.squeeze(n.res,[0]),n.alpha=z0.image.resizeBilinear(n.squeeze,[e.shape[1]||0,e.shape[2]||0]),n.mul=z0.mul(n.alpha,C.tf255);let o;switch(t.segmentation.mode||"default"){case"default":n.input=z0.squeeze(e),n.concat=z0.concat([n.input,n.mul],-1),o=z0.cast(n.concat,"int32");break;case"alpha":o=z0.cast(n.mul,"int32");break;default:o=z0.tensor(0)}return Object.keys(n).forEach(s=>z0.dispose(n[s])),o}function Zt(e,t,n){var c,x;if(!t||!((c=e==null?void 0:e.config)!=null&&c.validateModels))return null;let o=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],r=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],s=[],A=[],a=t.modelUrl,l=t.executor;if((x=l==null?void 0:l.graph)!=null&&x.nodes)for(let i of Object.values(l.graph.nodes)){let f=i.op.toLowerCase();s.includes(f)||s.push(f)}else!l&&e.config.debug&&h("model not loaded",n);for(let i of s)!o.includes(i)&&!r.includes(i)&&!e.env.kernels.includes(i)&&!e.env.kernels.includes(i.replace("_",""))&&!e.env.kernels.includes(i.replace("native",""))&&!e.env.kernels.includes(i.replace("v2",""))&&A.push(i);return e.config.debug&&A.length>0&&h("model validation failed:",n,A),A.length>0?{name:n,missing:A,ops:s,url:a}:null}var V2=class{constructor(t){w(this,"instance");w(this,"models",{});this.models={},this.instance=t}stats(){let t=0,n=0,o=0;for(let s of Object.values(I0))t+=s.sizeFromManifest,n+=s.sizeLoadedWeights,o+=s.sizeDesired;let r=o>0?n/o:0;return{numLoadedModels:Object.values(I0).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:r,totalSizeFromManifest:t,totalSizeWeights:n,totalSizeLoading:o,modelStats:Object.values(I0)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var o,r,s,A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0;R.initial&&this.reset(),t&&(this.instance=t);let n={};n.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?k3(this.instance.config):null,n.antispoof=this.instance.config.face.enabled&&((o=this.instance.config.face.antispoof)!=null&&o.enabled)&&!this.models.antispoof?Q3(this.instance.config):null,n.liveness=this.instance.config.face.enabled&&((r=this.instance.config.face.liveness)!=null&&r.enabled)&&!this.models.liveness?tn(this.instance.config):null,n.faceres=this.instance.config.face.enabled&&((s=this.instance.config.face.description)!=null&&s.enabled)&&!this.models.faceres?X3(this.instance.config):null,n.emotion=this.instance.config.face.enabled&&((A=this.instance.config.face.emotion)!=null&&A.enabled)&&!this.models.emotion?G3(this.instance.config):null,n.iris=this.instance.config.face.enabled&&((a=this.instance.config.face.iris)!=null&&a.enabled)&&!((l=this.instance.config.face.attention)!=null&&l.enabled)&&!this.models.iris?I3(this.instance.config):null,n.facemesh=this.instance.config.face.enabled&&((c=this.instance.config.face.mesh)!=null&&c.enabled)&&!this.models.facemesh?W3(this.instance.config):null,n.gear=this.instance.config.face.enabled&&((x=this.instance.config.face.gear)!=null&&x.enabled)&&!this.models.gear?sn(this.instance.config):null,n.ssrnetage=this.instance.config.face.enabled&&((i=this.instance.config.face.ssrnet)!=null&&i.enabled)&&!this.models.ssrnetage?cn(this.instance.config):null,n.ssrnetgender=this.instance.config.face.enabled&&((f=this.instance.config.face.ssrnet)!=null&&f.enabled)&&!this.models.ssrnetgender?fn(this.instance.config):null,n.mobilefacenet=this.instance.config.face.enabled&&((d=this.instance.config.face.mobilefacenet)!=null&&d.enabled)&&!this.models.mobilefacenet?bn(this.instance.config):null,n.insightface=this.instance.config.face.enabled&&((m=this.instance.config.face.insightface)!=null&&m.enabled)&&!this.models.insightface?Mn(this.instance.config):null,n.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((y=this.instance.config.body.modelPath)!=null&&y.includes("blazepose"))?a3(this.instance.config):null,n.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?A3(this.instance.config):null,n.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((u=this.instance.config.body.modelPath)!=null&&u.includes("efficientpose"))?y3(this.instance.config):null,n.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((T=this.instance.config.body.modelPath)!=null&&T.includes("movenet"))?uo(this.instance.config):null,n.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((g=this.instance.config.body.modelPath)!=null&&g.includes("posenet"))?Eo(this.instance.config):null,n.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((b=(p=this.instance.config.hand.detector)==null?void 0:p.modelPath)!=null&&b.includes("handtrack"))?so(this.instance.config):null,n.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((P=(k=this.instance.config.hand.detector)==null?void 0:k.modelPath)!=null&&P.includes("handtrack"))?Ao(this.instance.config):null,(V=(N=this.instance.config.hand.detector)==null?void 0:N.modelPath)!=null&&V.includes("handdetect")&&([n.handpose,n.handskeleton]=this.models.handpose?[null,null]:await eo(this.instance.config)),n.centernet=this.instance.config.object.enabled&&!this.models.centernet&&((_=this.instance.config.object.modelPath)!=null&&_.includes("centernet"))?c3(this.instance.config):null,n.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((Z=this.instance.config.object.modelPath)!=null&&Z.includes("nanodet"))?go(this.instance.config):null,n.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&(($=this.instance.config.segmentation.modelPath)!=null&&$.includes("selfie"))?P1(this.instance.config):null,n.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((A0=this.instance.config.segmentation.modelPath)!=null&&A0.includes("meet"))?c1(this.instance.config):null,n.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((n0=this.instance.config.segmentation.modelPath)!=null&&n0.includes("rvm"))?M1(this.instance.config):null;for(let[t0,j0]of Object.entries(n))j0!=null&&j0.then&&j0.then(M=>this.models[t0]=M);await Promise.all(Object.values(n))}list(){let t=Object.keys(this.models).map(n=>{var o;return{name:n,loaded:this.models[n]!==null,size:0,url:this.models[n]?(o=this.models[n])==null?void 0:o.modelUrl:null}});for(let n of t){let o=Object.keys(I0).find(r=>r.startsWith(n.name));o&&(n.size=I0[o].sizeLoadedWeights,n.url=I0[o].url)}return t}loaded(){return this.list().filter(o=>o.loaded).map(o=>o.name)}validate(){let t=[];for(let n of Object.keys(this.models)){let o=this.models[n];if(!o)continue;let r=Zt(this.instance,o,n);r&&t.push(r)}return t}};function Co(e,t,n,o,r){var a,l,c,x,i,f;let s=0,A=[];for(let d of e){let m={id:s++,face:d,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let b of t)d.box[0]>b.box[0]&&d.box[0]b.box[1]&&d.box[1]+d.box[3]m.body.box[0]&&b.box[0]+b.box[2]m.body.box[1]&&b.box[1]+b.box[3]m.body.box[0]&&b.box[1]+b.box[3]>m.body.box[1]&&b.box[1]+b.box[3]{b&&b.length===4&&(y.push(b[0],b[0]+b[2]),u.push(b[1],b[1]+b[3]))};T(m.face.box),T((x=m.body)==null?void 0:x.box),T((i=m.hands.left)==null?void 0:i.box),T((f=m.hands.right)==null?void 0:f.box);let g=Math.min(...y),p=Math.min(...u);m.box=[g,p,Math.max(...y)-g,Math.max(...u)-p],r!=null&&r[1]&&(r!=null&&r[2])&&(m.boxRaw=[m.box[0]/r[2],m.box[1]/r[1],m.box[2]/r[2],m.box[3]/r[1]]),A.push(m)}return A}var d0=G(H());var qt=` + gaze: [gaze]\xB0`, + body: "body [score]%", + bodyPart: "[label] [score]%", + object: "[label] [score]%", + hand: "[label] [score]%", + finger: "[label]", + gesture: "[where] [who]: [what]" +}; + +// src/draw/draw.ts +var drawTime = 0; +function person(inCanvas2, result, drawOptions) { + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (let i = 0; i < result.length; i++) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels) { + const label = `person #${i}`; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.stroke(); + } + } +} +function canvas2(input, output) { + if (!input || !output) + return; + const ctx = getCanvasContext(output); + if (!ctx) + return; + ctx.drawImage(input, 0, 0); +} +async function all(inCanvas2, result, drawOptions) { + if (!(result == null ? void 0 : result.performance) || !inCanvas2) + return null; + const timeStamp = now(); + const localOptions2 = mergeDeep(options2, drawOptions); + const promise = Promise.all([ + face(inCanvas2, result.face, localOptions2), + body(inCanvas2, result.body, localOptions2), + hand(inCanvas2, result.hand, localOptions2), + object(inCanvas2, result.object, localOptions2), + gesture(inCanvas2, result.gesture, localOptions2) + // gestures do not have buffering + // person(inCanvas, result.persons, localOptions); // already included above + ]); + drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp); + result.performance.draw = drawTime; + return promise; +} +function init2() { + options2.faceLabels = defaultLabels.face; + options2.bodyLabels = defaultLabels.body; + options2.bodyPartLabels = defaultLabels.bodyPart; + options2.handLabels = defaultLabels.hand; + options2.fingerLabels = defaultLabels.finger; + options2.objectLabels = defaultLabels.object; + options2.gestureLabels = defaultLabels.gesture; +} + +// src/body/blazepose.ts +var tf9 = __toESM(require_tfjs_esm()); + +// src/body/blazeposecoords.ts +var blazeposecoords_exports = {}; +__export(blazeposecoords_exports, { + connected: () => connected, + kpt: () => kpt +}); +var kpt = [ + "nose", + // 0 + "leftEyeInside", + // 1 + "leftEye", + // 2 + "leftEyeOutside", + // 3 + "rightEyeInside", + // 4 + "rightEye", + // 5 + "rightEyeOutside", + // 6 + "leftEar", + // 7 + "rightEar", + // 8 + "leftMouth", + // 9 + "rightMouth", + // 10 + "leftShoulder", + // 11 + "rightShoulder", + // 12 + "leftElbow", + // 13 + "rightElbow", + // 14 + "leftWrist", + // 15 + "rightWrist", + // 16 + "leftPinky", + // 17 + "rightPinky", + // 18 + "leftIndex", + // 19 + "rightIndex", + // 20 + "leftThumb", + // 21 + "rightThumb", + // 22 + "leftHip", + // 23 + "rightHip", + // 24 + "leftKnee", + // 25 + "rightKnee", + // 26 + "leftAnkle", + // 27 + "rightAnkle", + // 28 + "leftHeel", + // 29 + "rightHeel", + // 30 + "leftFoot", + // 31 + "rightFoot", + // 32 + "bodyCenter", + // 33 + "bodyTop", + // 34 + "leftPalm", + // 35 // z-coord not ok + "leftHand", + // 36 // similar to wrist but z-coord not ok + "rightPalm", + // 37 // z-coord not ok + "rightHand" + // 38 // similar to wrist but z-coord not ok +]; +var connected = { + shoulders: ["leftShoulder", "rightShoulder"], + hips: ["rightHip", "leftHip"], + mouth: ["leftMouth", "rightMouth"], + leftLegUpper: ["leftHip", "leftKnee"], + leftLegLower: ["leftKnee", "leftAnkle"], + leftFoot: ["leftAnkle", "leftHeel", "leftFoot"], + leftTorso: ["leftShoulder", "leftHip"], + leftArmUpper: ["leftShoulder", "leftElbow"], + leftArmLower: ["leftElbow", "leftWrist"], + leftHand: ["leftWrist", "leftPalm"], + leftHandPinky: ["leftPalm", "leftPinky"], + leftHandIndex: ["leftPalm", "leftIndex"], + leftHandThumb: ["leftPalm", "leftThumb"], + leftEyeOutline: ["leftEyeInside", "leftEyeOutside"], + rightLegUpper: ["rightHip", "rightKnee"], + rightLegLower: ["rightKnee", "rightAnkle"], + rightFoot: ["rightAnkle", "rightHeel", "rightFoot"], + rightTorso: ["rightShoulder", "rightHip"], + rightArmUpper: ["rightShoulder", "rightElbow"], + rightArmLower: ["rightElbow", "rightWrist"], + rightHand: ["rightWrist", "rightPalm"], + rightHandPinky: ["rightPalm", "rightPinky"], + rightHandIndex: ["rightPalm", "rightIndex"], + rightHandThumb: ["rightPalm", "rightThumb"], + rightEyeOutline: ["rightEyeInside", "rightEyeOutside"] +}; + +// src/body/blazeposedetector.ts +var tf8 = __toESM(require_tfjs_esm()); +var model; +var inputSize = 224; +var anchorTensor; +var numLayers = 5; +var strides = [8, 16, 32, 32, 32]; +function createAnchors() { + const anchors3 = []; + let layerId = 0; + while (layerId < numLayers) { + let anchorCount = 0; + let lastSameStrideLayer = layerId; + while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) { + anchorCount += 2; + lastSameStrideLayer++; + } + const stride = strides[layerId]; + const featureMapHeight = Math.ceil(inputSize / stride); + const featureMapWidth = Math.ceil(inputSize / stride); + for (let y = 0; y < featureMapHeight; ++y) { + for (let x = 0; x < featureMapWidth; ++x) { + for (let anchorId = 0; anchorId < anchorCount; ++anchorId) { + anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight }); + } + } + } + layerId = lastSameStrideLayer; + } + anchorTensor = { x: tf8.tensor1d(anchors3.map((a) => a.x)), y: tf8.tensor1d(anchors3.map((a) => a.y)) }; +} +async function loadDetector(config3) { + if (env.initial) + model = null; + if (!model && config3.body["detector"] && config3.body["detector"].modelPath || "") { + model = await loadModel(config3.body["detector"].modelPath); + const inputs = (model == null ? void 0 : model["executor"]) ? Object.values(model.modelSignature["inputs"]) : void 0; + inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug && model) + log("cached model:", model["modelUrl"]); + createAnchors(); + return model; +} +var cropFactor = [5, 5]; +function decodeBoxes(boxesTensor, anchor) { + return tf8.tidy(() => { + const split6 = tf8.split(boxesTensor, 12, 1); + let xCenter = tf8.squeeze(split6[0]); + let yCenter = tf8.squeeze(split6[1]); + let width = tf8.squeeze(split6[2]); + let height = tf8.squeeze(split6[3]); + xCenter = tf8.add(tf8.div(xCenter, inputSize), anchor.x); + yCenter = tf8.add(tf8.div(yCenter, inputSize), anchor.y); + width = tf8.mul(tf8.div(width, inputSize), cropFactor[0]); + height = tf8.mul(tf8.div(height, inputSize), cropFactor[1]); + const xMin = tf8.sub(xCenter, tf8.div(width, 2)); + const yMin = tf8.sub(yCenter, tf8.div(height, 2)); + const xMax = tf8.add(xMin, width); + const yMax = tf8.add(yMin, height); + const boxes = tf8.stack([xMin, yMin, xMax, yMax], 1); + return boxes; + }); +} +async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { + var _a, _b; + const detectedBoxes = []; + const t2 = {}; + t2.boxes = decodeBoxes(boxesTensor, anchorTensor); + t2.scores = tf8.sigmoid(logitsTensor); + t2.nms = await tf8.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, 1, ((_a = config3.body["detector"]) == null ? void 0 : _a.minConfidence) || 0.1, ((_b = config3.body["detector"]) == null ? void 0 : _b.iouThreshold) || 0.1); + const nms = await t2.nms.data(); + const scores = await t2.scores.data(); + const boxes = await t2.boxes.array(); + for (const i of Array.from(nms)) { + const score = scores[i]; + const boxRaw = boxes[i]; + const box = [Math.round(boxRaw[0] * outputSize2[0]), Math.round(boxRaw[1] * outputSize2[1]), Math.round(boxRaw[2] * outputSize2[0]), Math.round(boxRaw[3] * outputSize2[1])]; + const detectedBox = { score, boxRaw, box }; + detectedBoxes.push(detectedBox); + } + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return detectedBoxes; +} +async function detectBoxes(input, config3, outputSize2) { + const t2 = {}; + t2.res = model == null ? void 0 : model.execute(input, ["Identity"]); + t2.logitsRaw = tf8.slice(t2.res, [0, 0, 0], [1, -1, 1]); + t2.boxesRaw = tf8.slice(t2.res, [0, 0, 1], [1, -1, -1]); + t2.logits = tf8.squeeze(t2.logitsRaw); + t2.boxes = tf8.squeeze(t2.boxesRaw); + const boxes = await decodeResults(t2.boxes, t2.logits, config3, outputSize2); + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return boxes; +} + +// src/util/box.ts +function calc(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const box = [min2[0], min2[1], max5[0] - min2[0], max5[1] - min2[1]]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function square(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const center = [(min2[0] + max5[0]) / 2, (min2[1] + max5[1]) / 2]; + const dist = Math.max(center[0] - min2[0], center[1] - min2[1], -center[0] + max5[0], -center[1] + max5[1]); + const box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function scale(box, scaleFact) { + const dist = [box[2] * scaleFact, box[3] * scaleFact]; + const newBox = [ + box[0] - (dist[0] - box[2]) / 2, + box[1] - (dist[1] - box[3]) / 2, + dist[0], + dist[1] + ]; + return newBox; +} + +// src/body/blazepose.ts +var model2; +var inputSize2 = 256; +var skipped = Number.MAX_SAFE_INTEGER; +var outputNodes = { + landmarks: ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"], + detector: [] +}; +var cache = []; +var padding = [[0, 0], [0, 0], [0, 0], [0, 0]]; +var lastTime = 0; +var sigmoid2 = (x) => 1 - 1 / (1 + Math.exp(x)); +var loadDetect = (config3) => loadDetector(config3); +async function loadPose(config3) { + if (env.initial) + model2 = null; + if (!model2) { + model2 = await loadModel(config3.body.modelPath); + const inputs = (model2 == null ? void 0 : model2["executor"]) ? Object.values(model2.modelSignature["inputs"]) : void 0; + inputSize2 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug) + log("cached model:", model2["modelUrl"]); + return model2; +} +function prepareImage(input, size2, cropBox) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + let final; + if (cropBox) { + t2.cropped = tf9.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); + } + if (input.shape[1] !== input.shape[2]) { + const height = [ + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0 + ]; + const width = [ + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0 + ]; + padding = [ + [0, 0], + // dont touch batch + height, + // height before&after + width, + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf9.pad(t2.cropped || input, padding); + t2.resize = tf9.image.resizeBilinear(t2.pad, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else if (input.shape[1] !== size2) { + t2.resize = tf9.image.resizeBilinear(t2.cropped || input, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else { + final = tf9.div(t2.cropped || input, constants.tf255); + } + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + return final; +} +function rescaleKeypoints(keypoints, outputSize2, cropBox) { + for (const kpt4 of keypoints) { + kpt4.position = [ + Math.trunc(kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0]), + Math.trunc(kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0]), + kpt4.position[2] + ]; + kpt4.positionRaw = [kpt4.position[0] / outputSize2[0], kpt4.position[1] / outputSize2[1], 2 * kpt4.position[2] / (outputSize2[0] + outputSize2[1])]; + } + if (cropBox) { + const width = cropBox[2] - cropBox[0]; + const height = cropBox[3] - cropBox[1]; + for (const kpt4 of keypoints) { + kpt4.positionRaw = [ + kpt4.positionRaw[0] / height + cropBox[1], + // correct offset due to crop + kpt4.positionRaw[1] / width + cropBox[0], + // correct offset due to crop + kpt4.positionRaw[2] + ]; + kpt4.position = [ + Math.trunc(kpt4.positionRaw[0] * outputSize2[0]), + Math.trunc(kpt4.positionRaw[1] * outputSize2[1]), + kpt4.positionRaw[2] + ]; + } + } + return keypoints; +} +function fixKeypoints(keypoints) { + const leftPalm = keypoints.find((k) => k.part === "leftPalm"); + const leftWrist = keypoints.find((k) => k.part === "leftWrist"); + const leftIndex = keypoints.find((k) => k.part === "leftIndex"); + leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2; + const rightPalm = keypoints.find((k) => k.part === "rightPalm"); + const rightWrist = keypoints.find((k) => k.part === "rightWrist"); + const rightIndex = keypoints.find((k) => k.part === "rightIndex"); + rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2; +} +async function detectLandmarks(input, config3, outputSize2) { + if (!(model2 == null ? void 0 : model2["executor"])) + return null; + const t2 = {}; + [ + t2.ld, + t2.segmentation, + t2.heatmap, + t2.world, + t2.poseflag + /* 1,1 */ + ] = model2 == null ? void 0 : model2.execute(input, outputNodes.landmarks); + const poseScore = (await t2.poseflag.data())[0]; + const points = await t2.ld.data(); + const distances = await t2.world.data(); + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + const keypointsRelative = []; + const depth = 5; + for (let i = 0; i < points.length / depth; i++) { + const score = sigmoid2(points[depth * i + 3]); + const presence = sigmoid2(points[depth * i + 4]); + const adjScore = Math.trunc(100 * score * presence * poseScore) / 100; + const positionRaw = [points[depth * i + 0] / inputSize2, points[depth * i + 1] / inputSize2, points[depth * i + 2] + 0]; + const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]]; + const distance2 = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0]; + keypointsRelative.push({ part: kpt[i], positionRaw, position, distance: distance2, score: adjScore }); + } + if (poseScore < (config3.body.minConfidence || 0)) + return null; + fixKeypoints(keypointsRelative); + const keypoints = rescaleKeypoints(keypointsRelative, outputSize2); + const kpts = keypoints.map((k) => k.position); + const boxes = calc(kpts, [outputSize2[0], outputSize2[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations: annotations2 }; + return body4; +} +async function predict(input, config3) { + var _a, _b, _c; + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime; + const skipFrame = skipped < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && cache !== null) { + skipped++; + } else { + let boxes = []; + if ((_b = (_a = config3.body) == null ? void 0 : _a["detector"]) == null ? void 0 : _b["enabled"]) { + const preparedImage = prepareImage(input, 224); + boxes = await detectBoxes(preparedImage, config3, outputSize2); + tf9.dispose(preparedImage); + } else { + boxes = [{ box: [0, 0, 0, 0], boxRaw: [0, 0, 1, 1], score: 0 }]; + } + for (let i = 0; i < boxes.length; i++) { + const preparedBox = prepareImage(input, 256, (_c = boxes[i]) == null ? void 0 : _c.boxRaw); + cache.length = 0; + const bodyResult = await detectLandmarks(preparedBox, config3, outputSize2); + tf9.dispose(preparedBox); + if (!bodyResult) + continue; + bodyResult.id = i; + cache.push(bodyResult); + } + lastTime = now(); + skipped = 0; + } + return cache; +} + +// src/object/centernet.ts +var tf10 = __toESM(require_tfjs_esm()); + +// src/object/labels.ts +var labels2 = [ + { class: 1, label: "person" }, + { class: 2, label: "bicycle" }, + { class: 3, label: "car" }, + { class: 4, label: "motorcycle" }, + { class: 5, label: "airplane" }, + { class: 6, label: "bus" }, + { class: 7, label: "train" }, + { class: 8, label: "truck" }, + { class: 9, label: "boat" }, + { class: 10, label: "traffic light" }, + { class: 11, label: "fire hydrant" }, + { class: 12, label: "stop sign" }, + { class: 13, label: "parking meter" }, + { class: 14, label: "bench" }, + { class: 15, label: "bird" }, + { class: 16, label: "cat" }, + { class: 17, label: "dog" }, + { class: 18, label: "horse" }, + { class: 19, label: "sheep" }, + { class: 20, label: "cow" }, + { class: 21, label: "elephant" }, + { class: 22, label: "bear" }, + { class: 23, label: "zebra" }, + { class: 24, label: "giraffe" }, + { class: 25, label: "backpack" }, + { class: 26, label: "umbrella" }, + { class: 27, label: "handbag" }, + { class: 28, label: "tie" }, + { class: 29, label: "suitcase" }, + { class: 30, label: "frisbee" }, + { class: 31, label: "skis" }, + { class: 32, label: "snowboard" }, + { class: 33, label: "sports ball" }, + { class: 34, label: "kite" }, + { class: 35, label: "baseball bat" }, + { class: 36, label: "baseball glove" }, + { class: 37, label: "skateboard" }, + { class: 38, label: "surfboard" }, + { class: 39, label: "tennis racket" }, + { class: 40, label: "bottle" }, + { class: 41, label: "wine glass" }, + { class: 42, label: "cup" }, + { class: 43, label: "fork" }, + { class: 44, label: "knife" }, + { class: 45, label: "spoon" }, + { class: 46, label: "bowl" }, + { class: 47, label: "banana" }, + { class: 48, label: "apple" }, + { class: 49, label: "sandwich" }, + { class: 50, label: "orange" }, + { class: 51, label: "broccoli" }, + { class: 52, label: "carrot" }, + { class: 53, label: "hot dog" }, + { class: 54, label: "pizza" }, + { class: 55, label: "donut" }, + { class: 56, label: "cake" }, + { class: 57, label: "chair" }, + { class: 58, label: "couch" }, + { class: 59, label: "potted plant" }, + { class: 60, label: "bed" }, + { class: 61, label: "dining table" }, + { class: 62, label: "toilet" }, + { class: 63, label: "tv" }, + { class: 64, label: "laptop" }, + { class: 65, label: "mouse" }, + { class: 66, label: "remote" }, + { class: 67, label: "keyboard" }, + { class: 68, label: "cell phone" }, + { class: 69, label: "microwave" }, + { class: 70, label: "oven" }, + { class: 71, label: "toaster" }, + { class: 72, label: "sink" }, + { class: 73, label: "refrigerator" }, + { class: 74, label: "book" }, + { class: 75, label: "clock" }, + { class: 76, label: "vase" }, + { class: 77, label: "scissors" }, + { class: 78, label: "teddy bear" }, + { class: 79, label: "hair drier" }, + { class: 80, label: "toothbrush" } +]; + +// src/object/centernet.ts +var model3; +var inputSize3 = 0; +var last2 = []; +var lastTime2 = 0; +var skipped2 = Number.MAX_SAFE_INTEGER; +async function load(config3) { + if (env.initial) + model3 = null; + if (!model3) { + model3 = await loadModel(config3.object.modelPath); + const inputs = (model3 == null ? void 0 : model3["executor"]) ? Object.values(model3.modelSignature["inputs"]) : void 0; + inputSize3 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", model3["modelUrl"]); + return model3; +} +async function process3(res, outputShape, config3) { + if (!res) + return []; + const t2 = {}; + const results = []; + const detections = await res.array(); + t2.squeeze = tf10.squeeze(res); + const arr = tf10.split(t2.squeeze, 6, 1); + t2.stack = tf10.stack([arr[1], arr[0], arr[3], arr[2]], 1); + t2.boxes = tf10.squeeze(t2.stack); + t2.scores = tf10.squeeze(arr[4]); + t2.classes = tf10.squeeze(arr[5]); + tf10.dispose([res, ...arr]); + t2.nms = await tf10.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); + const nms = await t2.nms.data(); + let i = 0; + for (const id of Array.from(nms)) { + const score = Math.trunc(100 * detections[0][id][4]) / 100; + const classVal = detections[0][id][5]; + if (Number.isNaN(classVal)) + continue; + const label = labels2[classVal].label; + const [x, y] = [ + detections[0][id][0] / inputSize3, + detections[0][id][1] / inputSize3 + ]; + const boxRaw = [ + x, + y, + detections[0][id][2] / inputSize3 - x, + detections[0][id][3] / inputSize3 - y + ]; + const box = [ + Math.trunc(boxRaw[0] * outputShape[0]), + Math.trunc(boxRaw[1] * outputShape[1]), + Math.trunc(boxRaw[2] * outputShape[0]), + Math.trunc(boxRaw[3] * outputShape[1]) + ]; + results.push({ id: i++, score, class: classVal, label, box, boxRaw }); + } + Object.keys(t2).forEach((tensor6) => tf10.dispose(t2[tensor6])); + return results; +} +async function predict2(input, config3) { + if (!(model3 == null ? void 0 : model3["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime2; + const skipFrame = skipped2 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last2.length > 0) { + skipped2++; + return last2; + } + skipped2 = 0; + return new Promise(async (resolve) => { + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const resize = tf10.image.resizeBilinear(input, [inputSize3, inputSize3]); + const objectT = config3.object.enabled ? model3 == null ? void 0 : model3.execute(resize, ["tower_0/detections"]) : null; + lastTime2 = now(); + tf10.dispose(resize); + const obj = await process3(objectT, outputSize2, config3); + last2 = obj; + resolve(obj); + }); +} + +// src/body/efficientpose.ts +var tf11 = __toESM(require_tfjs_esm()); + +// src/body/efficientposecoords.ts +var efficientposecoords_exports = {}; +__export(efficientposecoords_exports, { + connected: () => connected2, + kpt: () => kpt2 +}); +var kpt2 = [ + "head", + "neck", + "rightShoulder", + "rightElbow", + "rightWrist", + "chest", + "leftShoulder", + "leftElbow", + "leftWrist", + "bodyCenter", + "rightHip", + "rightKnee", + "rightAnkle", + "leftHip", + "leftKnee", + "leftAnkle" +]; +var connected2 = { + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/body/efficientpose.ts +var model4; +var lastTime3 = 0; +var cache2 = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} }; +var skipped3 = Number.MAX_SAFE_INTEGER; +async function load2(config3) { + if (env.initial) + model4 = null; + if (!model4) + model4 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model4["modelUrl"]); + return model4; +} +async function max2d(inputs, minScore) { + const [width, height] = inputs.shape; + const reshaped = tf11.reshape(inputs, [height * width]); + const max5 = tf11.max(reshaped, 0); + const newScore = (await max5.data())[0]; + if (newScore > minScore) { + const coordinates = tf11.argMax(reshaped, 0); + const mod3 = tf11.mod(coordinates, width); + const x = (await mod3.data())[0]; + const div15 = tf11.div(coordinates, width); + const y = (await div15.data())[0]; + tf11.dispose([reshaped, max5, coordinates, mod3, div15]); + return [x, y, newScore]; + } + tf11.dispose([reshaped, max5]); + return [0, 0, newScore]; +} +async function predict3(image28, config3) { + if (!(model4 == null ? void 0 : model4["executor"]) || !(model4 == null ? void 0 : model4.inputs[0].shape)) + return []; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime3; + const skipFrame = skipped3 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && Object.keys(cache2.keypoints).length > 0) { + skipped3++; + return [cache2]; + } + skipped3 = 0; + return new Promise(async (resolve) => { + const tensor6 = tf11.tidy(() => { + var _a, _b; + const resize = tf11.image.resizeBilinear(image28, [((_a = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a[2]) || 0, ((_b = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b[1]) || 0], false); + const enhance2 = tf11.mul(resize, constants.tf2); + const norm = tf11.sub(enhance2, constants.tf1); + return norm; + }); + let resT; + if (config3.body.enabled) + resT = model4 == null ? void 0 : model4.execute(tensor6); + lastTime3 = now(); + tf11.dispose(tensor6); + if (resT) { + cache2.keypoints.length = 0; + const squeeze14 = tf11.squeeze(resT); + tf11.dispose(resT); + const stack5 = tf11.unstack(squeeze14, 2); + tf11.dispose(squeeze14); + for (let id = 0; id < stack5.length; id++) { + const [x2, y2, partScore] = await max2d(stack5[id], config3.body.minConfidence); + if (partScore > (config3.body.minConfidence || 0)) { + cache2.keypoints.push({ + score: Math.round(100 * partScore) / 100, + part: kpt2[id], + positionRaw: [ + // normalized to 0..1 + // @ts-ignore model is not undefined here + x2 / model4.inputs[0].shape[2], + y2 / model4.inputs[0].shape[1] + ], + position: [ + // normalized to input image size + // @ts-ignore model is not undefined here + Math.round(image28.shape[2] * x2 / model4.inputs[0].shape[2]), + Math.round(image28.shape[1] * y2 / model4.inputs[0].shape[1]) + ] + }); + } + } + stack5.forEach((s) => tf11.dispose(s)); + } + cache2.score = cache2.keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const x = cache2.keypoints.map((a) => a.position[0]); + const y = cache2.keypoints.map((a) => a.position[1]); + cache2.box = [ + Math.min(...x), + Math.min(...y), + Math.max(...x) - Math.min(...x), + Math.max(...y) - Math.min(...y) + ]; + const xRaw = cache2.keypoints.map((a) => a.positionRaw[0]); + const yRaw = cache2.keypoints.map((a) => a.positionRaw[1]); + cache2.boxRaw = [ + Math.min(...xRaw), + Math.min(...yRaw), + Math.max(...xRaw) - Math.min(...xRaw), + Math.max(...yRaw) - Math.min(...yRaw) + ]; + for (const [name, indexes] of Object.entries(connected2)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + cache2.annotations[name] = pt; + } + resolve([cache2]); + }); +} + +// src/face/face.ts +var tf25 = __toESM(require_tfjs_esm()); + +// src/face/facemesh.ts +var tf15 = __toESM(require_tfjs_esm()); + +// src/face/blazeface.ts +var tf13 = __toESM(require_tfjs_esm()); + +// src/face/facemeshutil.ts +var tf12 = __toESM(require_tfjs_esm()); +var getBoxSize = (box) => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])]; +var getBoxCenter = (box) => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1]; +var clampBox = (box, input) => box ? [ + Math.trunc(Math.max(0, box.startPoint[0])), + Math.trunc(Math.max(0, box.startPoint[1])), + Math.trunc(Math.min(input.shape[2] || 0, box.endPoint[0]) - Math.max(0, box.startPoint[0])), + Math.trunc(Math.min(input.shape[1] || 0, box.endPoint[1]) - Math.max(0, box.startPoint[1])) +] : [0, 0, 0, 0]; +var getRawBox = (box, input) => box ? [ + box.startPoint[0] / (input.shape[2] || 0), + box.startPoint[1] / (input.shape[1] || 0), + (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0), + (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0) +] : [0, 0, 0, 0]; +var scaleBoxCoordinates = (box, factor, anchor) => { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]); + return { startPoint, endPoint, landmarks, confidence: box.confidence }; +}; +var cutAndResize = (box, image28, cropSize) => { + const h = image28.shape[1]; + const w = image28.shape[2]; + const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]; + const crop = tf12.image.cropAndResize(image28, [cutBox], [0], cropSize); + const norm = tf12.div(crop, constants.tf255); + tf12.dispose(crop); + return norm; +}; +var enlargeBox = (box, factor) => { + const center = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + return { + startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]], + endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]], + landmarks: box.landmarks, + confidence: box.confidence, + size: size2 + }; +}; +var squarifyBox = (box) => { + const centers = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = Math.max(...size2) / 2; + return { + startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)], + endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)], + landmarks: box.landmarks, + confidence: box.confidence, + size: [Math.round(size2[0]), Math.round(size2[1])] + }; +}; +var calculateLandmarksBoundingBox = (landmarks) => { + const x = landmarks.map((d) => d[0]); + const y = landmarks.map((d) => d[1]); + return { + startPoint: [Math.min(...x), Math.min(...y)], + endPoint: [Math.max(...x), Math.max(...y)], + landmarks + }; +}; +var fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]; +var normalizeRadians = (angle) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +var computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0])); +var buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +var dot = (v1, v2) => { + let product = 0; + for (let i = 0; i < v1.length; i++) + product += v1[i] * v2[i]; + return product; +}; +var getColumnFrom2DArr = (arr, columnIndex) => { + const column = []; + for (let i = 0; i < arr.length; i++) + column.push(arr[i][columnIndex]); + return column; +}; +var multiplyTransformMatrices = (mat1, mat2) => { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) + product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col))); + } + return product; +}; +var buildRotationMatrix = (rotation, center) => { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]); + return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix); +}; +var invertTransformMatrix = (matrix) => { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)]; + return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]]; +}; +var rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])]; +function generateAnchors(inputSize10) { + const spec = inputSize10 === 192 ? { strides: [4], anchors: [1] } : { strides: [inputSize10 / 16, inputSize10 / 8], anchors: [2, 6] }; + const anchors3 = []; + for (let i = 0; i < spec.strides.length; i++) { + const stride = spec.strides[i]; + const gridRows = Math.floor((inputSize10 + stride - 1) / stride); + const gridCols = Math.floor((inputSize10 + stride - 1) / stride); + const anchorsNum = spec.anchors[i]; + for (let gridY = 0; gridY < gridRows; gridY++) { + const anchorY = stride * (gridY + 0.5); + for (let gridX = 0; gridX < gridCols; gridX++) { + const anchorX = stride * (gridX + 0.5); + for (let n = 0; n < anchorsNum; n++) + anchors3.push([anchorX, anchorY]); + } + } + } + return anchors3; +} +function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize10) { + const boxSize = getBoxSize(box); + const coordsScaled = coordsRaw.map((coord) => [ + // scaled around zero-point + boxSize[0] / inputSize10 * (coord[0] - inputSize10 / 2), + boxSize[1] / inputSize10 * (coord[1] - inputSize10 / 2), + coord[2] || 0 + ]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix; + const coordsRotated = largeAngle ? coordsScaled.map((coord) => [...rotatePoint(coord, coordsRotationMatrix), coord[2]]) : coordsScaled; + const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix; + const boxCenter = getBoxCenter(box); + const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + offsets[0]), + Math.trunc(coord[1] + offsets[1]), + Math.trunc(coord[2] || 0) + ]); +} +function correctFaceRotation(rotate, box, input, inputSize10) { + const symmetryLine = box.landmarks.length >= meshLandmarks.count ? meshLandmarks.symmetryLine : blazeFaceLandmarks.symmetryLine; + let angle = 0; + let rotationMatrix = fixedRotationMatrix; + let face4; + if (rotate && env.kernels.includes("rotatewithoffset")) { + angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + if (largeAngle) { + const center = getBoxCenter(box); + const centerRaw = [center[0] / input.shape[2], center[1] / input.shape[1]]; + const rotated = tf12.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); + rotationMatrix = buildRotationMatrix(-angle, center); + face4 = cutAndResize(box, rotated, [inputSize10, inputSize10]); + tf12.dispose(rotated); + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + return [angle, rotationMatrix, face4]; +} +var findFaceCenter = (mesh) => { + const x = mesh.map((m) => m[0]); + const y = mesh.map((m) => m[1]); + return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2]; +}; +var calculateFaceBox = (mesh, previousBox) => { + const center = findFaceCenter(mesh); + const boxSize = getBoxSize(previousBox); + const calculatedBox = { + startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2], + endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] + }; + return calculatedBox; +}; + +// src/face/blazeface.ts +var keypointsCount = 6; +var faceBoxScaleFactor = 1.4; +var model5; +var anchors = null; +var inputSize4 = 0; +var inputSizeT = null; +var size = () => inputSize4; +async function load3(config3) { + var _a; + if (env.initial) + model5 = null; + if (!model5) + model5 = await loadModel((_a = config3.face.detector) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model5["modelUrl"]); + inputSize4 = model5["executor"] && model5.inputs[0].shape ? model5.inputs[0].shape[2] : 256; + inputSizeT = tf13.scalar(inputSize4, "int32"); + anchors = tf13.tensor2d(generateAnchors(inputSize4)); + return model5; +} +function decodeBoxes2(boxOutputs) { + if (!anchors || !inputSizeT) + return tf13.zeros([0, 0]); + const t2 = {}; + t2.boxStarts = tf13.slice(boxOutputs, [0, 1], [-1, 2]); + t2.centers = tf13.add(t2.boxStarts, anchors); + t2.boxSizes = tf13.slice(boxOutputs, [0, 3], [-1, 2]); + t2.boxSizesNormalized = tf13.div(t2.boxSizes, inputSizeT); + t2.centersNormalized = tf13.div(t2.centers, inputSizeT); + t2.halfBoxSize = tf13.div(t2.boxSizesNormalized, constants.tf2); + t2.starts = tf13.sub(t2.centersNormalized, t2.halfBoxSize); + t2.ends = tf13.add(t2.centersNormalized, t2.halfBoxSize); + t2.startNormalized = tf13.mul(t2.starts, inputSizeT); + t2.endNormalized = tf13.mul(t2.ends, inputSizeT); + const boxes = tf13.concat2d([t2.startNormalized, t2.endNormalized], 1); + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} +async function getBoxes(inputImage, config3) { + var _a, _b, _c, _d, _e, _f; + if (!inputImage || inputImage["isDisposedInternal"] || inputImage.shape.length !== 4 || inputImage.shape[1] < 1 || inputImage.shape[2] < 1) + return []; + const t2 = {}; + t2.resized = tf13.image.resizeBilinear(inputImage, [inputSize4, inputSize4]); + t2.div = tf13.div(t2.resized, constants.tf127); + t2.normalized = tf13.sub(t2.div, constants.tf05); + const res = model5 == null ? void 0 : model5.execute(t2.normalized); + if (Array.isArray(res) && res.length > 2) { + const sorted = res.sort((a, b) => a.size - b.size); + t2.concat384 = tf13.concat([sorted[0], sorted[2]], 2); + t2.concat512 = tf13.concat([sorted[1], sorted[3]], 2); + t2.concat = tf13.concat([t2.concat512, t2.concat384], 1); + t2.batch = tf13.squeeze(t2.concat, [0]); + } else if (Array.isArray(res)) { + t2.batch = tf13.squeeze(res[0]); + } else { + t2.batch = tf13.squeeze(res); + } + tf13.dispose(res); + t2.boxes = decodeBoxes2(t2.batch); + t2.logits = tf13.slice(t2.batch, [0, 0], [-1, 1]); + t2.sigmoid = tf13.sigmoid(t2.logits); + t2.scores = tf13.squeeze(t2.sigmoid); + t2.nms = await tf13.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0); + const nms = await t2.nms.array(); + const boxes = []; + const scores = await t2.scores.data(); + for (let i = 0; i < nms.length; i++) { + const confidence = scores[nms[i]]; + if (confidence > (((_d = config3.face.detector) == null ? void 0 : _d.minConfidence) || 0)) { + const b = {}; + b.bbox = tf13.slice(t2.boxes, [nms[i], 0], [1, -1]); + b.slice = tf13.slice(t2.batch, [nms[i], keypointsCount - 1], [1, -1]); + b.squeeze = tf13.squeeze(b.slice); + b.landmarks = tf13.reshape(b.squeeze, [keypointsCount, -1]); + const points = await b.bbox.data(); + const rawBox = { + startPoint: [points[0], points[1]], + endPoint: [points[2], points[3]], + landmarks: await b.landmarks.array(), + confidence + }; + b.anchor = tf13.slice(anchors, [nms[i], 0], [1, 2]); + const anchor = await b.anchor.data(); + const scaledBox = scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize4, (inputImage.shape[1] || 0) / inputSize4], anchor); + const enlargedBox = enlargeBox(scaledBox, config3.face["scale"] || faceBoxScaleFactor); + const squaredBox = squarifyBox(enlargedBox); + if (squaredBox.size[0] > (((_e = config3.face.detector) == null ? void 0 : _e["minSize"]) || 0) && squaredBox.size[1] > (((_f = config3.face.detector) == null ? void 0 : _f["minSize"]) || 0)) + boxes.push(squaredBox); + Object.keys(b).forEach((tensor6) => tf13.dispose(b[tensor6])); + } + } + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} + +// src/face/iris.ts +var tf14 = __toESM(require_tfjs_esm()); +var model6; +var inputSize5 = 0; +var irisEnlarge = 2.3; +var leftOutline = meshAnnotations.leftEyeLower0; +var rightOutline = meshAnnotations.rightEyeLower0; +var eyeLandmarks = { + leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]], + rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]] +}; +var irisLandmarks = { + upperCenter: 3, + lowerCenter: 4, + index: 71, + numCoordinates: 76 +}; +async function load4(config3) { + var _a, _b; + if (env.initial) + model6 = null; + if (!model6) + model6 = await loadModel((_a = config3.face.iris) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model6["modelUrl"]); + inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b = model6.inputs) == null ? void 0 : _b[0].shape) ? model6.inputs[0].shape[2] : 0; + if (inputSize5 === -1) + inputSize5 = 64; + return model6; +} +function replaceIrisCoords(rawCoords, newCoords, prefix, keys) { + for (let i = 0; i < irisIndices.length; i++) { + const { key, indices } = irisIndices[i]; + const originalIndices = meshAnnotations[`${prefix}${key}`]; + if (!keys || keys.includes(key)) { + for (let j = 0; j < indices.length; j++) { + const index2 = indices[j]; + rawCoords[originalIndices[j]] = [ + newCoords[index2][0], + newCoords[index2][1], + (newCoords[index2][2] + rawCoords[originalIndices[j]][2]) / 2 + ]; + } + } + } +} +var getLeftToRightEyeDepthDifference = (rawCoords) => { + const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2]; + const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2]; + return leftEyeZ - rightEyeZ; +}; +var getEyeBox = (rawCoords, face4, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => { + const box = squarifyBox(enlargeBox(calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge)); + const boxSize = getBoxSize(box); + let crop = tf14.image.cropAndResize(face4, [[ + box.startPoint[1] / meshSize, + box.startPoint[0] / meshSize, + box.endPoint[1] / meshSize, + box.endPoint[0] / meshSize + ]], [0], [inputSize5, inputSize5]); + if (flip && env.kernels.includes("flipleftright")) { + const flipped = tf14.image.flipLeftRight(crop); + tf14.dispose(crop); + crop = flipped; + } + return { box, boxSize, crop }; +}; +var getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => { + const eyeRawCoords = []; + for (let i = 0; i < irisLandmarks.numCoordinates; i++) { + const x = eyeData[i * 3]; + const y = eyeData[i * 3 + 1]; + const z = eyeData[i * 3 + 2]; + eyeRawCoords.push([ + (flip ? 1 - x / inputSize5 : x / inputSize5) * eyeBoxSize[0] + eyeBox.startPoint[0], + y / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], + z + ]); + } + return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) }; +}; +var getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => { + const upperCenterZ = rawCoords[meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2]; + const lowerCenterZ = rawCoords[meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2]; + const averageZ = (upperCenterZ + lowerCenterZ) / 2; + return irisCoords.map((coord, i) => { + let z = averageZ; + if (i === 2) { + z = upperCenterZ; + } else if (i === 4) { + z = lowerCenterZ; + } + return [coord[0], coord[1], z]; + }); +}; +async function augmentIris(rawCoords, face4, meshSize) { + if (!(model6 == null ? void 0 : model6["executor"])) + return rawCoords; + const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true); + const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true); + const combined = tf14.concat([leftEyeCrop, rightEyeCrop]); + tf14.dispose(leftEyeCrop); + tf14.dispose(rightEyeCrop); + const eyePredictions = model6.execute(combined); + tf14.dispose(combined); + const eyePredictionsData = await eyePredictions.data(); + tf14.dispose(eyePredictions); + const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3); + const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true); + const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3); + const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false); + const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords); + if (Math.abs(leftToRightEyeDepthDifference) < 30) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", null); + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", null); + } else if (leftToRightEyeDepthDifference < 1) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", ["EyeUpper0", "EyeLower0"]); + } else { + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", ["EyeUpper0", "EyeLower0"]); + } + const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, "left"); + const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, "right"); + const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords); + return newCoords; +} + +// src/face/attention.ts +async function augment(rawCoords, results) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const t2 = { + // all attention models produce 2d results so it needs to be later augmented with correct z-coords + // mesh: results[0], // already have it in rawCoords // output_mesh_identity + // flag: results[1], // already processed in parent // conv_faceflag + lips: await ((_b = (_a = results.filter((r) => r.size === 160)) == null ? void 0 : _a[0]) == null ? void 0 : _b.data()), + // 80 x 2d = 160 // output_lips + irisL: await ((_d = (_c = results.filter((r) => r.size === 10)) == null ? void 0 : _c[0]) == null ? void 0 : _d.data()), + // 5 x 2d = 10 // output_right_iris + eyeL: await ((_f = (_e = results.filter((r) => r.size === 142)) == null ? void 0 : _e[0]) == null ? void 0 : _f.data()), + // 71 x 2d = 142 // output_right_eye + irisR: await ((_h = (_g = results.filter((r) => r.size === 10)) == null ? void 0 : _g[1]) == null ? void 0 : _h.data()), + // 5 x 2d = 10 // output_left_iris + eyeR: await ((_j = (_i = results.filter((r) => r.size === 142)) == null ? void 0 : _i[1]) == null ? void 0 : _j.data()) + // 71 x 2d = 142// output_left_eye + }; + for (const val of Object.values(t2)) { + if (!val) + return rawCoords; + } + const irisLDepth = LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisL.length / 2; i++) + rawCoords.push([t2.irisL[2 * i + 0], t2.irisL[2 * i + 1], irisLDepth]); + const irisRDepth = LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisR.length / 2; i++) + rawCoords.push([t2.irisR[2 * i + 0], t2.irisR[2 * i + 1], irisRDepth]); + for (let i = 0; i < t2.eyeL.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t2.eyeL[2 * i + 0], t2.eyeL[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.eyeR.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t2.eyeR[2 * i + 0], t2.eyeR[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.lips.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t2.lips[2 * i + 0], t2.lips[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]]; + return rawCoords; +} + +// src/face/facemesh.ts +var cache3 = { + boxes: [], + skipped: Number.MAX_SAFE_INTEGER, + timestamp: 0 +}; +var model7 = null; +var inputSize6 = 0; +async function predict4(input, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - cache3.timestamp; + const skipFrame = cache3.skipped < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0); + if (!config3.skipAllowed || !skipTime || !skipFrame || cache3.boxes.length === 0) { + cache3.boxes = await getBoxes(input, config3); + cache3.timestamp = now(); + cache3.skipped = 0; + } else { + cache3.skipped++; + } + const faces = []; + const newCache = []; + let id = 0; + const size2 = inputSize6; + for (let i = 0; i < cache3.boxes.length; i++) { + const box = cache3.boxes[i]; + let angle = 0; + let rotationMatrix; + const face4 = { + // init face result + id: id++, + mesh: [], + meshRaw: [], + box: [0, 0, 0, 0], + boxRaw: [0, 0, 0, 0], + score: 0, + boxScore: 0, + faceScore: 0, + size: [0, 0], + // contoursRaw: [], + // contours: [], + annotations: {} + }; + [angle, rotationMatrix, face4.tensor] = correctFaceRotation((_c = config3.face.detector) == null ? void 0 : _c.rotation, box, input, ((_d = config3.face.mesh) == null ? void 0 : _d.enabled) ? inputSize6 : size()); + if (config3.filter.equalization) { + const equilized = face4.tensor ? await histogramEqualization(face4.tensor) : void 0; + tf15.dispose(face4.tensor); + if (equilized) + face4.tensor = equilized; + } + face4.boxScore = Math.round(100 * box.confidence) / 100; + if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled) || !(model7 == null ? void 0 : model7["executor"])) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.size = box.size; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } else if (!model7) { + if (config3.debug) + log("face mesh detection requested, but model is not loaded"); + } else { + if (((_f = config3.face.attention) == null ? void 0 : _f.enabled) && !env.kernels.includes("atan2")) { + config3.face.attention.enabled = false; + tf15.dispose(face4.tensor); + return faces; + } + const results = model7.execute(face4.tensor); + const confidenceT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1); + const faceConfidence = await confidenceT.data(); + face4.faceScore = Math.round(100 * faceConfidence[0]) / 100; + if (face4.faceScore < (((_g = config3.face.detector) == null ? void 0 : _g.minConfidence) || 1)) { + box.confidence = face4.faceScore; + if (config3.face.mesh["keepInvalid"]) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) { + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } + } + } else { + const meshT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1404); + const coordsReshaped = tf15.reshape(meshT, [-1, 3]); + let rawCoords = await coordsReshaped.array(); + tf15.dispose(coordsReshaped); + if ((_h = config3.face.attention) == null ? void 0 : _h.enabled) { + rawCoords = await augment(rawCoords, results); + } else if ((_i = config3.face.iris) == null ? void 0 : _i.enabled) { + rawCoords = await augmentIris(rawCoords, face4.tensor, inputSize6); + } + face4.mesh = transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize6); + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(meshAnnotations)) + face4.annotations[key] = meshAnnotations[key].map((index2) => face4.mesh[index2]); + face4.score = face4.faceScore; + const calculatedBox = { + ...calculateFaceBox(face4.mesh, box), + confidence: box.confidence, + landmarks: box.landmarks, + size: box.size + }; + face4.box = clampBox(calculatedBox, input); + face4.boxRaw = getRawBox(calculatedBox, input); + newCache.push(calculatedBox); + } + tf15.dispose(results); + } + if (face4.score > (((_j = config3.face.detector) == null ? void 0 : _j.minConfidence) || 1)) + faces.push(face4); + else + tf15.dispose(face4.tensor); + } + cache3.boxes = newCache; + return faces; +} +async function load5(config3) { + var _a, _b, _c, _d, _e, _f; + if (env.initial) + model7 = null; + if (((_a = config3.face.attention) == null ? void 0 : _a.enabled) && (model7 == null ? void 0 : model7["signature"])) { + if (Object.keys(((_b = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b.outputs) || {}).length < 6) + model7 = null; + } + if (!model7) { + if ((_c = config3.face.attention) == null ? void 0 : _c.enabled) + model7 = await loadModel(config3.face.attention.modelPath); + else + model7 = await loadModel((_d = config3.face.mesh) == null ? void 0 : _d.modelPath); + } else if (config3.debug) { + log("cached model:", model7["modelUrl"]); + } + inputSize6 = model7["executor"] && ((_e = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _e[0].shape) ? (_f = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _f[0].shape[2] : 256; + return model7; +} +var triangulation = TRI468; +var uvmap = UV468; + +// src/gear/emotion.ts +var tf16 = __toESM(require_tfjs_esm()); +var annotations = []; +var model8; +var last3 = []; +var lastCount = 0; +var lastTime4 = 0; +var skipped4 = Number.MAX_SAFE_INTEGER; +var rgb = false; +async function load6(config3) { + var _a, _b, _c; + if (env.initial) + model8 = null; + if (!model8) { + model8 = await loadModel((_a = config3.face.emotion) == null ? void 0 : _a.modelPath); + rgb = ((_c = (_b = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[3]) === 3; + if (!rgb) + annotations = ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"]; + else + annotations = ["angry", "disgust", "fear", "happy", "neutral", "sad", "surprise"]; + } else if (config3.debug) { + log("cached model:", model8["modelUrl"]); + } + return model8; +} +async function predict5(image28, config3, idx, count2) { + var _a, _b; + if (!model8) + return []; + const skipFrame = skipped4 < (((_a = config3.face.emotion) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.emotion) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime4; + if (config3.skipAllowed && skipTime && skipFrame && lastCount === count2 && last3[idx] && last3[idx].length > 0) { + skipped4++; + return last3[idx]; + } + skipped4 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c; + const obj = []; + if ((_a2 = config3.face.emotion) == null ? void 0 : _a2.enabled) { + const t2 = {}; + const inputSize10 = (model8 == null ? void 0 : model8.inputs[0].shape) ? model8.inputs[0].shape[2] : 0; + if (((_b2 = config3.face.emotion) == null ? void 0 : _b2["crop"]) > 0) { + const crop = (_c = config3.face.emotion) == null ? void 0 : _c["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf16.image.cropAndResize(image28, box, [0], [inputSize10, inputSize10]); + } else { + t2.resize = tf16.image.resizeBilinear(image28, [inputSize10, inputSize10], false); + } + if (rgb) { + t2.mul = tf16.mul(t2.resize, 255); + t2.normalize = tf16.sub(t2.mul, [103.939, 116.779, 123.68]); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.normalize); + } else { + t2.channels = tf16.mul(t2.resize, constants.rgb); + t2.grayscale = tf16.sum(t2.channels, 3, true); + t2.grayscaleSub = tf16.sub(t2.grayscale, constants.tf05); + t2.grayscaleMul = tf16.mul(t2.grayscaleSub, constants.tf2); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.grayscaleMul); + } + lastTime4 = now(); + const data = await t2.emotion.data(); + for (let i = 0; i < data.length; i++) { + if (data[i] > (config3.face.emotion.minConfidence || 0)) + obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] }); + } + obj.sort((a, b) => b.score - a.score); + Object.keys(t2).forEach((tensor6) => tf16.dispose(t2[tensor6])); + } + last3[idx] = obj; + lastCount = count2; + resolve(obj); + }); +} + +// src/face/faceres.ts +var tf17 = __toESM(require_tfjs_esm()); +var model9; +var last4 = []; +var lastTime5 = 0; +var lastCount2 = 0; +var skipped5 = Number.MAX_SAFE_INTEGER; +async function load7(config3) { + var _a; + if (env.initial) + model9 = null; + if (!model9) + model9 = await loadModel((_a = config3.face.description) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model9["modelUrl"]); + return model9; +} +function enhance(input, config3) { + var _a, _b; + const tensor6 = input.image || input.tensor || input; + if (!(model9 == null ? void 0 : model9.inputs[0].shape)) + return tensor6; + let crop; + if (((_a = config3.face.description) == null ? void 0 : _a["crop"]) > 0) { + const cropval = (_b = config3.face.description) == null ? void 0 : _b["crop"]; + const box = [[cropval, cropval, 1 - cropval, 1 - cropval]]; + crop = tf17.image.cropAndResize(tensor6, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); + } else { + crop = tf17.image.resizeBilinear(tensor6, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); + } + const norm = tf17.mul(crop, constants.tf255); + tf17.dispose(crop); + return norm; +} +async function predict6(image28, config3, idx, count2) { + var _a, _b, _c, _d; + const obj = { + age: 0, + gender: "unknown", + genderScore: 0, + descriptor: [] + }; + if (!(model9 == null ? void 0 : model9["executor"])) + return obj; + const skipFrame = skipped5 < (((_a = config3.face.description) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.description) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime5; + if (config3.skipAllowed && skipFrame && skipTime && lastCount2 === count2 && ((_c = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _c.age) > 0 && ((_d = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped5++; + return last4[idx]; + } + skipped5 = 0; + return new Promise(async (resolve) => { + var _a2; + if ((_a2 = config3.face.description) == null ? void 0 : _a2.enabled) { + const enhanced = enhance(image28, config3); + const resT = model9 == null ? void 0 : model9.execute(enhanced); + lastTime5 = now(); + tf17.dispose(enhanced); + const genderT = resT.find((t2) => t2.shape[1] === 1); + const gender2 = await genderT.data(); + const confidence = Math.trunc(200 * Math.abs(gender2[0] - 0.5)) / 100; + if (confidence > (config3.face.description.minConfidence || 0)) { + obj.gender = gender2[0] <= 0.5 ? "female" : "male"; + obj.genderScore = Math.min(0.99, confidence); + } + const argmax = tf17.argMax(resT.find((t2) => t2.shape[1] === 100), 1); + const ageIdx = (await argmax.data())[0]; + tf17.dispose(argmax); + const ageT = resT.find((t2) => t2.shape[1] === 100); + const all2 = await ageT.data(); + obj.age = Math.round(all2[ageIdx - 1] > all2[ageIdx + 1] ? 10 * ageIdx - 100 * all2[ageIdx - 1] : 10 * ageIdx + 100 * all2[ageIdx + 1]) / 10; + if (Number.isNaN(gender2[0]) || Number.isNaN(all2[0])) + log("faceres error:", { model: model9, result: resT }); + const desc = resT.find((t2) => t2.shape[1] === 1024); + const descriptor = desc ? await desc.data() : []; + obj.descriptor = Array.from(descriptor); + resT.forEach((t2) => tf17.dispose(t2)); + } + last4[idx] = obj; + lastCount2 = count2; + resolve(obj); + }); +} + +// src/face/mask.ts +var expandFact = 0.1; +var alpha = 0.5; +function insidePoly(x, y, polygon) { + let inside = false; + let j = polygon.length - 1; + for (let i = 0; i < polygon.length; j = i++) { + if (polygon[i].y > y !== polygon[j].y > y && x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x) + inside = !inside; + } + return inside; +} +async function mask(face4) { + if (!face4.tensor) + return face4.tensor; + if (!face4.mesh || face4.mesh.length < 100) + return face4.tensor; + const width = face4.tensor.shape[2] || 0; + const height = face4.tensor.shape[1] || 0; + const buffer = await face4.tensor.buffer(); + let silhouette = []; + for (const pt of meshAnnotations.silhouette) + silhouette.push({ x: (face4.mesh[pt][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt][1] - face4.box[1]) / face4.box[3] }); + if (expandFact && expandFact > 0) + silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); + for (let x = 0; x < width; x++) { + for (let y = 0; y < height; y++) { + const inside = insidePoly(x / width, y / width, silhouette); + if (!inside) { + buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0); + buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1); + buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2); + } + } + } + const output = buffer.toTensor(); + return output; +} + +// src/face/antispoof.ts +var tf18 = __toESM(require_tfjs_esm()); +var model10; +var cached = []; +var skipped6 = Number.MAX_SAFE_INTEGER; +var lastCount3 = 0; +var lastTime6 = 0; +async function load8(config3) { + var _a; + if (env.initial) + model10 = null; + if (!model10) + model10 = await loadModel((_a = config3.face.antispoof) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model10["modelUrl"]); + return model10; +} +async function predict7(image28, config3, idx, count2) { + var _a, _b; + if (!(model10 == null ? void 0 : model10["executor"])) + return 0; + const skipTime = (((_a = config3.face.antispoof) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6; + const skipFrame = skipped6 < (((_b = config3.face.antispoof) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount3 === count2 && cached[idx]) { + skipped6++; + return cached[idx]; + } + skipped6 = 0; + return new Promise(async (resolve) => { + const resize = tf18.image.resizeBilinear(image28, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); + const res = model10 == null ? void 0 : model10.execute(resize); + const num = (await res.data())[0]; + cached[idx] = Math.round(100 * num) / 100; + lastCount3 = count2; + lastTime6 = now(); + tf18.dispose([resize, res]); + resolve(cached[idx]); + }); +} + +// src/face/liveness.ts +var tf19 = __toESM(require_tfjs_esm()); +var model11; +var cached2 = []; +var skipped7 = Number.MAX_SAFE_INTEGER; +var lastCount4 = 0; +var lastTime7 = 0; +async function load9(config3) { + var _a; + if (env.initial) + model11 = null; + if (!model11) + model11 = await loadModel((_a = config3.face.liveness) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model11["modelUrl"]); + return model11; +} +async function predict8(image28, config3, idx, count2) { + var _a, _b; + if (!(model11 == null ? void 0 : model11["executor"])) + return 0; + const skipTime = (((_a = config3.face.liveness) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime7; + const skipFrame = skipped7 < (((_b = config3.face.liveness) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount4 === count2 && cached2[idx]) { + skipped7++; + return cached2[idx]; + } + skipped7 = 0; + return new Promise(async (resolve) => { + const resize = tf19.image.resizeBilinear(image28, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); + const res = model11 == null ? void 0 : model11.execute(resize); + const num = (await res.data())[0]; + cached2[idx] = Math.round(100 * num) / 100; + lastCount4 = count2; + lastTime7 = now(); + tf19.dispose([resize, res]); + resolve(cached2[idx]); + }); +} + +// src/gear/gear.ts +var tf20 = __toESM(require_tfjs_esm()); +var model12; +var last5 = []; +var raceNames = ["white", "black", "asian", "indian", "other"]; +var ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65]; +var lastCount5 = 0; +var lastTime8 = 0; +var skipped8 = Number.MAX_SAFE_INTEGER; +async function load10(config3) { + var _a; + if (env.initial) + model12 = null; + if (!model12) + model12 = await loadModel((_a = config3.face.gear) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model12["modelUrl"]); + return model12; +} +async function predict9(image28, config3, idx, count2) { + var _a, _b; + if (!model12) + return { age: 0, gender: "unknown", genderScore: 0, race: [] }; + const skipFrame = skipped8 < (((_a = config3.face.gear) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.gear) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime8; + if (config3.skipAllowed && skipTime && skipFrame && lastCount5 === count2 && last5[idx]) { + skipped8++; + return last5[idx]; + } + skipped8 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c, _d; + if (!(model12 == null ? void 0 : model12.inputs[0].shape)) + return; + const t2 = {}; + let box = [[0, 0.1, 0.9, 0.9]]; + if (((_a2 = config3.face.gear) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face.gear) == null ? void 0 : _b2["crop"]; + box = [[crop, crop, 1 - crop, 1 - crop]]; + } + t2.resize = tf20.image.cropAndResize(image28, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); + const obj = { age: 0, gender: "unknown", genderScore: 0, race: [] }; + if ((_c = config3.face.gear) == null ? void 0 : _c.enabled) + [t2.age, t2.gender, t2.race] = model12.execute(t2.resize, ["age_output", "gender_output", "race_output"]); + const gender2 = await t2.gender.data(); + obj.gender = gender2[0] > gender2[1] ? "male" : "female"; + obj.genderScore = Math.round(100 * (gender2[0] > gender2[1] ? gender2[0] : gender2[1])) / 100; + const race = await t2.race.data(); + for (let i = 0; i < race.length; i++) { + if (race[i] > (((_d = config3.face.gear) == null ? void 0 : _d.minConfidence) || 0.2)) + obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] }); + } + obj.race.sort((a, b) => b.score - a.score); + const ageDistribution = Array.from(await t2.age.data()); + const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]); + let age2 = ageSorted[0][0]; + for (let i = 1; i < ageSorted.length; i++) + age2 += ageSorted[i][1] * (ageSorted[i][0] - age2); + obj.age = Math.round(10 * age2) / 10; + Object.keys(t2).forEach((tensor6) => tf20.dispose(t2[tensor6])); + last5[idx] = obj; + lastCount5 = count2; + lastTime8 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-age.ts +var tf21 = __toESM(require_tfjs_esm()); +var model13; +var last6 = []; +var lastCount6 = 0; +var lastTime9 = 0; +var skipped9 = Number.MAX_SAFE_INTEGER; +async function load11(config3) { + if (env.initial) + model13 = null; + if (!model13) + model13 = await loadModel(config3.face["ssrnet"].modelPathAge); + else if (config3.debug) + log("cached model:", model13["modelUrl"]); + return model13; +} +async function predict10(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model13) + return { age: 0 }; + const skipFrame = skipped9 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime9; + if (config3.skipAllowed && skipFrame && skipTime && lastCount6 === count2 && ((_c = last6[idx]) == null ? void 0 : _c.age) && ((_d = last6[idx]) == null ? void 0 : _d.age) > 0) { + skipped9++; + return last6[idx]; + } + skipped9 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model13 == null ? void 0 : model13.inputs) || !model13.inputs[0] || !model13.inputs[0].shape) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf21.image.cropAndResize(image28, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); + } else { + t2.resize = tf21.image.resizeBilinear(image28, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); + } + t2.enhance = tf21.mul(t2.resize, constants.tf255); + const obj = { age: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.age = model13.execute(t2.enhance); + if (t2.age) { + const data = await t2.age.data(); + obj.age = Math.trunc(10 * data[0]) / 10; + } + Object.keys(t2).forEach((tensor6) => tf21.dispose(t2[tensor6])); + last6[idx] = obj; + lastCount6 = count2; + lastTime9 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-gender.ts +var tf22 = __toESM(require_tfjs_esm()); +var model14; +var last7 = []; +var lastCount7 = 0; +var lastTime10 = 0; +var skipped10 = Number.MAX_SAFE_INTEGER; +var rgb2 = [0.2989, 0.587, 0.114]; +async function load12(config3) { + var _a; + if (env.initial) + model14 = null; + if (!model14) + model14 = await loadModel((_a = config3.face["ssrnet"]) == null ? void 0 : _a.modelPathGender); + else if (config3.debug) + log("cached model:", model14["modelUrl"]); + return model14; +} +async function predict11(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model14) + return { gender: "unknown", genderScore: 0 }; + const skipFrame = skipped10 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime10; + if (config3.skipAllowed && skipFrame && skipTime && lastCount7 === count2 && ((_c = last7[idx]) == null ? void 0 : _c.gender) && ((_d = last7[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped10++; + return last7[idx]; + } + skipped10 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model14 == null ? void 0 : model14.inputs[0].shape)) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf22.image.cropAndResize(image28, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); + } else { + t2.resize = tf22.image.resizeBilinear(image28, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); + } + t2.enhance = tf22.tidy(() => { + var _a3, _b3; + let normalize2; + if (((_b3 = (_a3 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a3[0].shape) == null ? void 0 : _b3[3]) === 1) { + const [red, green, blue] = tf22.split(t2.resize, 3, 3); + const redNorm = tf22.mul(red, rgb2[0]); + const greenNorm = tf22.mul(green, rgb2[1]); + const blueNorm = tf22.mul(blue, rgb2[2]); + const grayscale = tf22.addN([redNorm, greenNorm, blueNorm]); + normalize2 = tf22.mul(tf22.sub(grayscale, constants.tf05), 2); + } else { + normalize2 = tf22.mul(tf22.sub(t2.resize, constants.tf05), 2); + } + return normalize2; + }); + const obj = { gender: "unknown", genderScore: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.gender = model14.execute(t2.enhance); + const data = await t2.gender.data(); + obj.gender = data[0] > data[1] ? "female" : "male"; + obj.genderScore = data[0] > data[1] ? Math.trunc(100 * data[0]) / 100 : Math.trunc(100 * data[1]) / 100; + Object.keys(t2).forEach((tensor6) => tf22.dispose(t2[tensor6])); + last7[idx] = obj; + lastCount7 = count2; + lastTime10 = now(); + resolve(obj); + }); +} + +// src/face/mobilefacenet.ts +var tf23 = __toESM(require_tfjs_esm()); +var model15; +var last8 = []; +var lastCount8 = 0; +var lastTime11 = 0; +var skipped11 = Number.MAX_SAFE_INTEGER; +async function load13(config3) { + var _a; + if (env.initial) + model15 = null; + if (!model15) + model15 = await loadModel((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model15["modelUrl"]); + return model15; +} +async function predict12(input, config3, idx, count2) { + var _a, _b; + if (!(model15 == null ? void 0 : model15["executor"])) + return []; + const skipFrame = skipped11 < (((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["mobilefacenet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime11; + if (config3.skipAllowed && skipTime && skipFrame && lastCount8 === count2 && last8[idx]) { + skipped11++; + return last8[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["mobilefacenet"]) == null ? void 0 : _a2.enabled) && (model15 == null ? void 0 : model15.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf23.image.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); + t2.data = model15.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf23.dispose(t2[tensor6])); + } + last8[idx] = data; + lastCount8 = count2; + lastTime11 = now(); + resolve(data); + }); +} + +// src/face/insightface.ts +var tf24 = __toESM(require_tfjs_esm()); +var model16; +var last9 = []; +var lastCount9 = 0; +var lastTime12 = 0; +var skipped12 = Number.MAX_SAFE_INTEGER; +async function load14(config3) { + if (env.initial) + model16 = null; + if (!model16) + model16 = await loadModel(config3.face["insightface"].modelPath); + else if (config3.debug) + log("cached model:", model16["modelUrl"]); + return model16; +} +async function predict13(input, config3, idx, count2) { + var _a, _b; + if (!(model16 == null ? void 0 : model16["executor"])) + return []; + const skipFrame = skipped12 < (((_a = config3.face["insightface"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["insightface"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime12; + if (config3.skipAllowed && skipTime && skipFrame && lastCount9 === count2 && last9[idx]) { + skipped12++; + return last9[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["insightface"]) == null ? void 0 : _a2.enabled) && (model16 == null ? void 0 : model16.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf24.image.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); + t2.data = model16.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf24.dispose(t2[tensor6])); + } + last9[idx] = data; + lastCount9 = count2; + lastTime12 = now(); + resolve(data); + }); +} + +// src/face/angles.ts +var calculateGaze = (face4) => { + const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); + if (!face4.annotations.rightEyeIris || !face4.annotations.leftEyeIris) + return { bearing: 0, strength: 0 }; + const offsetIris = [0, -0.1]; + const eyeRatio = 1; + const left = (face4.mesh[33][2] || 0) > (face4.mesh[263][2] || 0); + const irisCenter = left ? face4.mesh[473] : face4.mesh[468]; + const eyeCenter = left ? [(face4.mesh[133][0] + face4.mesh[33][0]) / 2, (face4.mesh[133][1] + face4.mesh[33][1]) / 2] : [(face4.mesh[263][0] + face4.mesh[362][0]) / 2, (face4.mesh[263][1] + face4.mesh[362][1]) / 2]; + const eyeSize = left ? [face4.mesh[133][0] - face4.mesh[33][0], face4.mesh[23][1] - face4.mesh[27][1]] : [face4.mesh[263][0] - face4.mesh[362][0], face4.mesh[253][1] - face4.mesh[257][1]]; + const eyeDiff = [ + // x distance between extreme point and center point normalized with eye size + (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0], + eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1] + ]; + let strength = Math.sqrt(eyeDiff[0] * eyeDiff[0] + eyeDiff[1] * eyeDiff[1]); + strength = Math.min(strength, face4.boxRaw[2] / 2, face4.boxRaw[3] / 2); + const bearing = (radians([0, 0], eyeDiff) + Math.PI / 2) % Math.PI; + return { bearing, strength }; +}; +var calculateFaceAngle = (face4, imageSize) => { + const normalize2 = (v) => { + const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]); + v[0] /= length; + v[1] /= length; + v[2] /= length; + return v; + }; + const subVectors = (a, b) => { + const x = a[0] - b[0]; + const y = a[1] - b[1]; + const z = a[2] - b[2]; + return [x, y, z]; + }; + const crossVectors = (a, b) => { + const x = a[1] * b[2] - a[2] * b[1]; + const y = a[2] * b[0] - a[0] * b[2]; + const z = a[0] * b[1] - a[1] * b[0]; + return [x, y, z]; + }; + const rotationMatrixToEulerAngle = (r) => { + const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; + let thetaX; + let thetaY; + let thetaZ; + if (r10 < 1) { + if (r10 > -1) { + thetaZ = Math.asin(r10); + thetaY = Math.atan2(-r20, r00); + thetaX = Math.atan2(-r12, r11); + } else { + thetaZ = -Math.PI / 2; + thetaY = -Math.atan2(r21, r22); + thetaX = 0; + } + } else { + thetaZ = Math.PI / 2; + thetaY = Math.atan2(r21, r22); + thetaX = 0; + } + if (Number.isNaN(thetaX)) + thetaX = 0; + if (Number.isNaN(thetaY)) + thetaY = 0; + if (Number.isNaN(thetaZ)) + thetaZ = 0; + return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ }; + }; + const mesh = face4.meshRaw; + if (!mesh || mesh.length < 300) + return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } }; + const size2 = Math.max(face4.boxRaw[2] * imageSize[0], face4.boxRaw[3] * imageSize[1]) / 1.5; + const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size2, pt[1] * imageSize[1] / size2, pt[2]]); + const yAxis = normalize2(subVectors(pts[1], pts[0])); + let xAxis = normalize2(subVectors(pts[3], pts[2])); + const zAxis = normalize2(crossVectors(xAxis, yAxis)); + xAxis = crossVectors(yAxis, zAxis); + const matrix = [ + xAxis[0], + xAxis[1], + xAxis[2], + yAxis[0], + yAxis[1], + yAxis[2], + zAxis[0], + zAxis[1], + zAxis[2] + ]; + const angle = rotationMatrixToEulerAngle(matrix); + const gaze = mesh.length === 478 ? calculateGaze(face4) : { bearing: 0, strength: 0 }; + return { angle, matrix, gaze }; +}; + +// src/face/anthropometry.ts +function calculateCameraDistance(face4, width) { + const f = face4 == null ? void 0 : face4.annotations; + if (!(f == null ? void 0 : f.leftEyeIris) || !(f == null ? void 0 : f.rightEyeIris)) + return 0; + const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width; + const cameraDistance = Math.round(1.17 / irisSize) / 100; + return cameraDistance; +} + +// src/face/face.ts +var detectFace = async (instance, input) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w; + let timeStamp = now(); + let ageRes; + let gearRes; + let genderRes; + let emotionRes; + let mobilefacenetRes; + let insightfaceRes; + let antispoofRes; + let livenessRes; + let descRes; + const faceRes = []; + instance.state = "run:face"; + const faces = await predict4(input, instance.config); + instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + if (!input.shape || input.shape.length !== 4) + return []; + if (!faces) + return []; + for (let i = 0; i < faces.length; i++) { + instance.analyze("Get Face"); + if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) { + log("Face object is disposed:", faces[i].tensor); + continue; + } + if ((_a = instance.config.face.detector) == null ? void 0 : _a.mask) { + const masked = await mask(faces[i]); + tf25.dispose(faces[i].tensor); + if (masked) + faces[i].tensor = masked; + } + const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null; + instance.analyze("Start Emotion:"); + if (instance.config.async) { + emotionRes = ((_b = instance.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + } else { + instance.state = "run:emotion"; + timeStamp = now(); + emotionRes = ((_c = instance.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Emotion:"); + instance.analyze("Start AntiSpoof:"); + if (instance.config.async) { + antispoofRes = ((_d = instance.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:antispoof"; + timeStamp = now(); + antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End AntiSpoof:"); + instance.analyze("Start Liveness:"); + if (instance.config.async) { + livenessRes = ((_f = instance.config.face.liveness) == null ? void 0 : _f.enabled) ? predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:liveness"; + timeStamp = now(); + livenessRes = ((_g = instance.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Liveness:"); + instance.analyze("Start GEAR:"); + if (instance.config.async) { + gearRes = ((_h = instance.config.face.gear) == null ? void 0 : _h.enabled) ? predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:gear"; + timeStamp = now(); + gearRes = ((_i = instance.config.face.gear) == null ? void 0 : _i.enabled) ? await predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.gear = Math.trunc(now() - timeStamp); + } + instance.analyze("End GEAR:"); + instance.analyze("Start SSRNet:"); + if (instance.config.async) { + ageRes = ((_j = instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) ? predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_k = instance.config.face["ssrnet"]) == null ? void 0 : _k.enabled) ? predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:ssrnet"; + timeStamp = now(); + ageRes = ((_l = instance.config.face["ssrnet"]) == null ? void 0 : _l.enabled) ? await predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_m = instance.config.face["ssrnet"]) == null ? void 0 : _m.enabled) ? await predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.ssrnet = Math.trunc(now() - timeStamp); + } + instance.analyze("End SSRNet:"); + instance.analyze("Start MobileFaceNet:"); + if (instance.config.async) { + mobilefacenetRes = ((_n = instance.config.face["mobilefacenet"]) == null ? void 0 : _n.enabled) ? predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + mobilefacenetRes = ((_o = instance.config.face["mobilefacenet"]) == null ? void 0 : _o.enabled) ? await predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End MobileFaceNet:"); + instance.analyze("Start InsightFace:"); + if (instance.config.async) { + insightfaceRes = ((_p = instance.config.face["insightface"]) == null ? void 0 : _p.enabled) ? predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + insightfaceRes = ((_q = instance.config.face["insightface"]) == null ? void 0 : _q.enabled) ? await predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End InsightFace:"); + instance.analyze("Start Description:"); + if (instance.config.async) { + descRes = predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + } else { + instance.state = "run:description"; + timeStamp = now(); + descRes = await predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Description:"); + if (instance.config.async) { + [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]); + } + instance.analyze("Finish Face:"); + if (((_r = instance.config.face["ssrnet"]) == null ? void 0 : _r.enabled) && ageRes && genderRes) { + descRes = { + ...descRes, + age: ageRes.age, + gender: genderRes.gender, + genderScore: genderRes.genderScore + }; + } + if (((_s = instance.config.face.gear) == null ? void 0 : _s.enabled) && gearRes) { + descRes = { + ...descRes, + age: gearRes.age, + gender: gearRes.gender, + genderScore: gearRes.genderScore, + race: gearRes.race + }; + } + if (((_t = instance.config.face["mobilefacenet"]) == null ? void 0 : _t.enabled) && mobilefacenetRes) { + descRes.descriptor = mobilefacenetRes; + } + if (((_u = instance.config.face["insightface"]) == null ? void 0 : _u.enabled) && insightfaceRes) { + descRes.descriptor = insightfaceRes; + } + const irisSize = ((_v = instance.config.face.iris) == null ? void 0 : _v.enabled) ? calculateCameraDistance(faces[i], input.shape[2]) : 0; + const tensor6 = ((_w = instance.config.face.detector) == null ? void 0 : _w.return) ? tf25.squeeze(faces[i].tensor) : null; + tf25.dispose(faces[i].tensor); + if (faces[i].tensor) + delete faces[i].tensor; + const res = { + ...faces[i], + id: i + }; + if (descRes.age) + res.age = descRes.age; + if (descRes.gender) + res.gender = descRes.gender; + if (descRes.genderScore) + res.genderScore = descRes.genderScore; + if (descRes.descriptor) + res.embedding = descRes.descriptor; + if (descRes.race) + res.race = descRes.race; + if (emotionRes) + res.emotion = emotionRes; + if (antispoofRes) + res.real = antispoofRes; + if (livenessRes) + res.live = livenessRes; + if (irisSize > 0) + res.distance = irisSize; + if (rotation) + res.rotation = rotation; + if (tensor6) + res.tensor = tensor6; + faceRes.push(res); + instance.analyze("End Face"); + } + instance.analyze("End FaceMesh:"); + if (instance.config.async) { + if (instance.performance.face) + delete instance.performance.face; + if (instance.performance.age) + delete instance.performance.age; + if (instance.performance.gender) + delete instance.performance.gender; + if (instance.performance.emotion) + delete instance.performance.emotion; + } + return faceRes; +}; + +// src/hand/fingerdef.ts +var Finger = { + thumb: 0, + index: 1, + middle: 2, + ring: 3, + pinky: 4, + all: [0, 1, 2, 3, 4], + // just for convenience + nameMapping: { 0: "thumb", 1: "index", 2: "middle", 3: "ring", 4: "pinky" }, + // Describes mapping of joints based on the 21 points returned by handpose. + // [0] Palm + // [1-4] Thumb + // [5-8] Index + // [9-12] Middle + // [13-16] Ring + // [17-20] Pinky + pointsMapping: { + 0: [[0, 1], [1, 2], [2, 3], [3, 4]], + 1: [[0, 5], [5, 6], [6, 7], [7, 8]], + 2: [[0, 9], [9, 10], [10, 11], [11, 12]], + 3: [[0, 13], [13, 14], [14, 15], [15, 16]], + 4: [[0, 17], [17, 18], [18, 19], [19, 20]] + }, + getName: (value) => Finger.nameMapping[value], + getPoints: (value) => Finger.pointsMapping[value] +}; +var FingerCurl = { + none: 0, + half: 1, + full: 2, + nameMapping: { 0: "none", 1: "half", 2: "full" }, + getName: (value) => FingerCurl.nameMapping[value] +}; +var FingerDirection = { + verticalUp: 0, + verticalDown: 1, + horizontalLeft: 2, + horizontalRight: 3, + diagonalUpRight: 4, + diagonalUpLeft: 5, + diagonalDownRight: 6, + diagonalDownLeft: 7, + nameMapping: { 0: "verticalUp", 1: "verticalDown", 2: "horizontalLeft", 3: "horizontalRight", 4: "diagonalUpRight", 5: "diagonalUpLeft", 6: "diagonalDownRight", 7: "diagonalDownLeft" }, + getName: (value) => FingerDirection.nameMapping[value] +}; +var FingerGesture = class { + constructor(name) { + __publicField(this, "name"); + __publicField(this, "curls"); + __publicField(this, "directions"); + __publicField(this, "weights"); + __publicField(this, "weightsRelative"); + this.name = name; + this.curls = {}; + this.directions = {}; + this.weights = [1, 1, 1, 1, 1]; + this.weightsRelative = [1, 1, 1, 1, 1]; + } + curl(finger, curl, confidence) { + if (typeof this.curls[finger] === "undefined") + this.curls[finger] = []; + this.curls[finger].push([curl, confidence]); + } + direction(finger, position, confidence) { + if (!this.directions[finger]) + this.directions[finger] = []; + this.directions[finger].push([position, confidence]); + } + weight(finger, weight) { + this.weights[finger] = weight; + const total = this.weights.reduce((a, b) => a + b, 0); + this.weightsRelative = this.weights.map((el) => el * 5 / total); + } + matchAgainst(detectedCurls, detectedDirections) { + let confidence = 0; + for (const fingerIdx in detectedCurls) { + const detectedCurl = detectedCurls[fingerIdx]; + const expectedCurls = this.curls[fingerIdx]; + if (typeof expectedCurls === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedCurl, score] of expectedCurls) { + if (detectedCurl === expectedCurl) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + for (const fingerIdx in detectedDirections) { + const detectedDirection = detectedDirections[fingerIdx]; + const expectedDirections = this.directions[fingerIdx]; + if (typeof expectedDirections === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedDirection, score] of expectedDirections) { + if (detectedDirection === expectedDirection) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + return confidence / 10; + } +}; + +// src/hand/fingergesture.ts +var { thumb, index, middle, ring, pinky } = Finger; +var { none, half, full } = FingerCurl; +var { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection; +var ThumbsUp = new FingerGesture("thumbs up"); +ThumbsUp.curl(thumb, none, 1); +ThumbsUp.direction(thumb, verticalUp, 1); +ThumbsUp.direction(thumb, diagonalUpLeft, 0.25); +ThumbsUp.direction(thumb, diagonalUpRight, 0.25); +for (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) { + ThumbsUp.curl(finger, full, 1); + ThumbsUp.direction(finger, horizontalLeft, 1); + ThumbsUp.direction(finger, horizontalRight, 1); +} +var Victory = new FingerGesture("victory"); +Victory.curl(thumb, half, 0.5); +Victory.curl(thumb, none, 0.5); +Victory.direction(thumb, verticalUp, 1); +Victory.direction(thumb, diagonalUpLeft, 1); +Victory.curl(index, none, 1); +Victory.direction(index, verticalUp, 0.75); +Victory.direction(index, diagonalUpLeft, 1); +Victory.curl(middle, none, 1); +Victory.direction(middle, verticalUp, 1); +Victory.direction(middle, diagonalUpLeft, 0.75); +Victory.curl(ring, full, 1); +Victory.direction(ring, verticalUp, 0.2); +Victory.direction(ring, diagonalUpLeft, 1); +Victory.direction(ring, horizontalLeft, 0.2); +Victory.curl(pinky, full, 1); +Victory.direction(pinky, verticalUp, 0.2); +Victory.direction(pinky, diagonalUpLeft, 1); +Victory.direction(pinky, horizontalLeft, 0.2); +Victory.weight(index, 2); +Victory.weight(middle, 2); +var Point = new FingerGesture("point"); +Point.curl(thumb, full, 1); +Point.curl(index, none, 0.5); +Point.curl(middle, full, 0.5); +Point.curl(ring, full, 0.5); +Point.curl(pinky, full, 0.5); +Point.weight(index, 2); +Point.weight(middle, 2); +var MiddleFinger = new FingerGesture("middle finger"); +MiddleFinger.curl(thumb, none, 1); +MiddleFinger.curl(index, full, 0.5); +MiddleFinger.curl(middle, full, 0.5); +MiddleFinger.curl(ring, full, 0.5); +MiddleFinger.curl(pinky, full, 0.5); +MiddleFinger.weight(index, 2); +MiddleFinger.weight(middle, 2); +var OpenPalm = new FingerGesture("open palm"); +OpenPalm.curl(thumb, none, 0.75); +OpenPalm.curl(index, none, 0.75); +OpenPalm.curl(middle, none, 0.75); +OpenPalm.curl(ring, none, 0.75); +OpenPalm.curl(pinky, none, 0.75); +var fingergesture_default = [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm]; + +// src/hand/fingerpose.ts +var minConfidence = 0.7; +var options3 = { + // curl estimation + HALF_CURL_START_LIMIT: 60, + NO_CURL_START_LIMIT: 130, + // direction estimation + DISTANCE_VOTE_POWER: 1.1, + SINGLE_ANGLE_VOTE_POWER: 0.9, + TOTAL_ANGLE_VOTE_POWER: 1.6 +}; +function calculateSlope(point1x, point1y, point2x, point2y) { + const value = (point1y - point2y) / (point1x - point2x); + let slope = Math.atan(value) * 180 / Math.PI; + if (slope <= 0) + slope = -slope; + else if (slope > 0) + slope = 180 - slope; + return slope; +} +function getSlopes(point1, point2) { + if (!point1 || !point2) + return [0, 0]; + const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]); + if (point1.length === 2) + return slopeXY; + const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]); + return [slopeXY, slopeYZ]; +} +function angleOrientationAt(angle, weightageAt = 1) { + let isVertical = 0; + let isDiagonal = 0; + let isHorizontal = 0; + if (angle >= 75 && angle <= 105) + isVertical = 1 * weightageAt; + else if (angle >= 25 && angle <= 155) + isDiagonal = 1 * weightageAt; + else + isHorizontal = 1 * weightageAt; + return [isVertical, isDiagonal, isHorizontal]; +} +function estimateFingerCurl(startPoint, midPoint, endPoint) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const start_mid_z_dist = startPoint[2] - midPoint[2]; + const start_end_z_dist = startPoint[2] - endPoint[2]; + const mid_end_z_dist = midPoint[2] - endPoint[2]; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist); + let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist); + if (cos_in > 1) + cos_in = 1; + else if (cos_in < -1) + cos_in = -1; + let angleOfCurve = Math.acos(cos_in); + angleOfCurve = 57.2958 * angleOfCurve % 180; + let fingerCurl; + if (angleOfCurve > options3.NO_CURL_START_LIMIT) + fingerCurl = FingerCurl.none; + else if (angleOfCurve > options3.HALF_CURL_START_LIMIT) + fingerCurl = FingerCurl.half; + else + fingerCurl = FingerCurl.full; + return fingerCurl; +} +function estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + if (max_dist_x === Math.abs(start_end_x_dist)) { + if (start_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else if (max_dist_x === Math.abs(start_mid_x_dist)) { + if (start_mid_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else { + if (mid_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } + return estimatedDirection; +} +function estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) { + let estimatedDirection; + if (max_dist_y === Math.abs(start_end_y_dist)) { + if (start_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else if (max_dist_y === Math.abs(start_mid_y_dist)) { + if (start_mid_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else { + if (mid_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } + return estimatedDirection; +} +function estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + if (reqd_vertical_direction === FingerDirection.verticalUp) { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalUpLeft; + else + estimatedDirection = FingerDirection.diagonalUpRight; + } else { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalDownLeft; + else + estimatedDirection = FingerDirection.diagonalDownRight; + } + return estimatedDirection; +} +function calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist)); + const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist)); + let voteVertical = 0; + let voteDiagonal = 0; + let voteHorizontal = 0; + const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 1e-5); + if (start_end_x_y_dist_ratio > 1.5) + voteVertical += options3.DISTANCE_VOTE_POWER; + else if (start_end_x_y_dist_ratio > 0.66) + voteDiagonal += options3.DISTANCE_VOTE_POWER; + else + voteHorizontal += options3.DISTANCE_VOTE_POWER; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist); + const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist); + let calc_start_point_x = startPoint[0]; + let calc_start_point_y = startPoint[1]; + let calc_end_point_x = endPoint[0]; + let calc_end_point_y = endPoint[1]; + if (max_dist === start_mid_dist) { + calc_end_point_x = endPoint[0]; + calc_end_point_y = endPoint[1]; + } else if (max_dist === mid_end_dist) { + calc_start_point_x = midPoint[0]; + calc_start_point_y = midPoint[1]; + } + const calcStartPoint = [calc_start_point_x, calc_start_point_y]; + const calcEndPoint = [calc_end_point_x, calc_end_point_y]; + const totalAngle = getSlopes(calcStartPoint, calcEndPoint); + const votes = angleOrientationAt(totalAngle, options3.TOTAL_ANGLE_VOTE_POWER); + voteVertical += votes[0]; + voteDiagonal += votes[1]; + voteHorizontal += votes[2]; + for (const fingerSlope of fingerSlopes) { + const fingerVotes = angleOrientationAt(fingerSlope, options3.SINGLE_ANGLE_VOTE_POWER); + voteVertical += fingerVotes[0]; + voteDiagonal += fingerVotes[1]; + voteHorizontal += fingerVotes[2]; + } + let estimatedDirection; + if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } else { + estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } + return estimatedDirection; +} +function estimate(landmarks) { + const slopesXY = []; + const slopesYZ = []; + const fingerCurls = []; + const fingerDirections = []; + if (!landmarks) + return { curls: fingerCurls, directions: fingerDirections }; + for (const finger of Finger.all) { + const points = Finger.getPoints(finger); + const slopeAtXY = []; + const slopeAtYZ = []; + for (const point2 of points) { + const point1 = landmarks[point2[0]]; + const point22 = landmarks[point2[1]]; + const slopes = getSlopes(point1, point22); + const slopeXY = slopes[0]; + const slopeYZ = slopes[1]; + slopeAtXY.push(slopeXY); + slopeAtYZ.push(slopeYZ); + } + slopesXY.push(slopeAtXY); + slopesYZ.push(slopeAtYZ); + } + for (const finger of Finger.all) { + const pointIndexAt = finger === Finger.thumb ? 1 : 0; + const fingerPointsAt = Finger.getPoints(finger); + const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]]; + const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]]; + const endPoint = landmarks[fingerPointsAt[3][1]]; + const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint); + const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt)); + fingerCurls[finger] = fingerCurled; + fingerDirections[finger] = fingerPosition; + } + return { curls: fingerCurls, directions: fingerDirections }; +} +function analyze(keypoints) { + if (!keypoints || keypoints.length === 0) + return null; + const estimatorRes = estimate(keypoints); + const landmarks = {}; + for (const fingerIdx of Finger.all) { + landmarks[Finger.getName(fingerIdx)] = { + curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]), + direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]) + }; + } + return landmarks; +} +function match(keypoints) { + const poses = []; + if (!keypoints || keypoints.length === 0) + return poses; + const estimatorRes = estimate(keypoints); + for (const gesture2 of fingergesture_default) { + const confidence = gesture2.matchAgainst(estimatorRes.curls, estimatorRes.directions); + if (confidence >= minConfidence) + poses.push({ name: gesture2.name, confidence }); + } + return poses; +} + +// src/gesture/gesture.ts +var body2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const leftWrist = res[i].keypoints.find((a) => a.part === "leftWrist"); + const rightWrist = res[i].keypoints.find((a) => a.part === "rightWrist"); + const nose = res[i].keypoints.find((a) => a.part === "nose"); + if (nose && leftWrist && rightWrist && leftWrist.position[1] < nose.position[1] && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "i give up" }); + else if (nose && leftWrist && leftWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise left hand" }); + else if (nose && rightWrist && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise right hand" }); + const leftShoulder = res[i].keypoints.find((a) => a.part === "leftShoulder"); + const rightShoulder = res[i].keypoints.find((a) => a.part === "rightShoulder"); + if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) { + gestures.push({ body: i, gesture: `leaning ${leftShoulder.position[1] > rightShoulder.position[1] ? "left" : "right"}` }); + } + } + return gestures; +}; +var face2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (res[i].mesh && res[i].mesh.length > 450) { + const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0); + const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0]; + if (Math.abs(zDiff / xDiff) <= 0.15) + gestures.push({ face: i, gesture: "facing center" }); + else + gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? "left" : "right"}` }); + const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); + if (openLeft < 0.2) + gestures.push({ face: i, gesture: "blink left eye" }); + const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); + if (openRight < 0.2) + gestures.push({ face: i, gesture: "blink right eye" }); + const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1])); + if (mouthOpen > 10) + gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` }); + const chinDepth = res[i].mesh[152][2] || 0; + if (Math.abs(chinDepth) > 10) + gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? "up" : "down"}` }); + } + } + return gestures; +}; +var iris2 = (res) => { + var _a, _b, _c, _d; + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (!((_b = (_a = res[i].annotations) == null ? void 0 : _a.leftEyeIris) == null ? void 0 : _b[0]) || !((_d = (_c = res[i].annotations) == null ? void 0 : _c.rightEyeIris) == null ? void 0 : _d[0])) + continue; + const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0]; + const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1]; + const areaLeft = Math.abs(sizeXLeft * sizeYLeft); + const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0]; + const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1]; + const areaRight = Math.abs(sizeXRight * sizeYRight); + let center = false; + const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight); + if (difference < 0.25) { + center = true; + gestures.push({ iris: i, gesture: "facing center" }); + } + const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2]; + const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2]; + if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) + center = false; + if (leftIrisCenterX > rightIrisCenterX) { + if (leftIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking right" }); + } else { + if (rightIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking left" }); + } + const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3]; + const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3]; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + center = false; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) + gestures.push({ iris: i, gesture: "looking down" }); + if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + gestures.push({ iris: i, gesture: "looking up" }); + if (center) + gestures.push({ iris: i, gesture: "looking center" }); + } + return gestures; +}; +var hand2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const fingers = []; + if (res[i].annotations) { + for (const [finger, pos] of Object.entries(res[i].annotations)) { + if (finger !== "palmBase" && Array.isArray(pos) && pos[0]) + fingers.push({ name: finger.toLowerCase(), position: pos[0] }); + } + } + if (fingers && fingers.length > 0) { + const closest = fingers.reduce((best, a) => (best.position[2] || 0) < (a.position[2] || 0) ? best : a); + gestures.push({ hand: i, gesture: `${closest.name} forward` }); + const highest = fingers.reduce((best, a) => best.position[1] < a.position[1] ? best : a); + gestures.push({ hand: i, gesture: `${highest.name} up` }); + } + if (res[i].keypoints) { + const poses = match(res[i].keypoints); + for (const pose of poses) + gestures.push({ hand: i, gesture: pose.name }); + } + } + return gestures; +}; + +// src/hand/handposedetector.ts +var tf27 = __toESM(require_tfjs_esm()); + +// src/hand/handposeutil.ts +var tf26 = __toESM(require_tfjs_esm()); +function getBoxSize2(box) { + return [ + Math.abs(box.endPoint[0] - box.startPoint[0]), + Math.abs(box.endPoint[1] - box.startPoint[1]) + ]; +} +function getBoxCenter2(box) { + return [ + box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, + box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2 + ]; +} +function cutBoxFromImageAndResize(box, image28, cropSize) { + const h = image28.shape[1]; + const w = image28.shape[2]; + const boxes = [[ + box.startPoint[1] / h, + box.startPoint[0] / w, + box.endPoint[1] / h, + box.endPoint[0] / w + ]]; + return tf26.image.cropAndResize(image28, boxes, [0], cropSize); +} +function scaleBoxCoordinates2(box, factor) { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const palmLandmarks = box.palmLandmarks.map((coord) => { + const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]]; + return scaledCoord; + }); + return { startPoint, endPoint, palmLandmarks, confidence: box.confidence }; +} +function enlargeBox2(box, factor = 1.5) { + const center = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const newHalfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]]; + const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function squarifyBox2(box) { + const centers = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const maxEdge = Math.max(...size2); + const halfSize = maxEdge / 2; + const startPoint = [centers[0] - halfSize, centers[1] - halfSize]; + const endPoint = [centers[0] + halfSize, centers[1] + halfSize]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function normalizeRadians2(angle) { + return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +} +function computeRotation2(point1, point2) { + const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]); + return normalizeRadians2(radians); +} +var buildTranslationMatrix2 = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +function dot2(v1, v2) { + let product = 0; + for (let i = 0; i < v1.length; i++) { + product += v1[i] * v2[i]; + } + return product; +} +function getColumnFrom2DArr2(arr, columnIndex) { + const column = []; + for (let i = 0; i < arr.length; i++) { + column.push(arr[i][columnIndex]); + } + return column; +} +function multiplyTransformMatrices2(mat1, mat2) { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) { + product[row].push(dot2(mat1[row], getColumnFrom2DArr2(mat2, col))); + } + } + return product; +} +function buildRotationMatrix2(rotation, center) { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix2(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices2(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix2(-center[0], -center[1]); + return multiplyTransformMatrices2(translationTimesRotation, negativeTranslationMatrix); +} +function invertTransformMatrix2(matrix) { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [ + -dot2(rotationComponent[0], translationComponent), + -dot2(rotationComponent[1], translationComponent) + ]; + return [ + rotationComponent[0].concat(invertedTranslation[0]), + rotationComponent[1].concat(invertedTranslation[1]), + [0, 0, 1] + ]; +} +function rotatePoint2(homogeneousCoordinate, rotationMatrix) { + return [ + dot2(homogeneousCoordinate, rotationMatrix[0]), + dot2(homogeneousCoordinate, rotationMatrix[1]) + ]; +} + +// src/hand/handposeanchors.ts +var anchors2 = [ + { x: 0.015625, y: 0.015625 }, + { x: 0.015625, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 } +]; + +// src/hand/handposedetector.ts +var HandDetector = class { + constructor(model23) { + __publicField(this, "model"); + __publicField(this, "anchors"); + __publicField(this, "anchorsTensor"); + __publicField(this, "inputSize"); + __publicField(this, "inputSizeTensor"); + __publicField(this, "doubleInputSizeTensor"); + var _a, _b, _c, _d; + this.model = model23; + this.anchors = anchors2.map((anchor) => [anchor.x, anchor.y]); + this.anchorsTensor = tf27.tensor2d(this.anchors); + this.inputSize = ((_d = (_c = (_b = (_a = this == null ? void 0 : this.model) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0]) == null ? void 0 : _c.shape) == null ? void 0 : _d[2]) || 0; + this.inputSizeTensor = tf27.tensor1d([this.inputSize, this.inputSize]); + this.doubleInputSizeTensor = tf27.tensor1d([this.inputSize * 2, this.inputSize * 2]); + } + normalizeBoxes(boxes) { + const t2 = {}; + t2.boxOffsets = tf27.slice(boxes, [0, 0], [-1, 2]); + t2.boxSizes = tf27.slice(boxes, [0, 2], [-1, 2]); + t2.div = tf27.div(t2.boxOffsets, this.inputSizeTensor); + t2.boxCenterPoints = tf27.add(t2.div, this.anchorsTensor); + t2.halfBoxSizes = tf27.div(t2.boxSizes, this.doubleInputSizeTensor); + t2.sub = tf27.sub(t2.boxCenterPoints, t2.halfBoxSizes); + t2.startPoints = tf27.mul(t2.sub, this.inputSizeTensor); + t2.add = tf27.add(t2.boxCenterPoints, t2.halfBoxSizes); + t2.endPoints = tf27.mul(t2.add, this.inputSizeTensor); + const res = tf27.concat2d([t2.startPoints, t2.endPoints], 1); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + normalizeLandmarks(rawPalmLandmarks, index2) { + const t2 = {}; + t2.reshape = tf27.reshape(rawPalmLandmarks, [-1, 7, 2]); + t2.div = tf27.div(t2.reshape, this.inputSizeTensor); + t2.landmarks = tf27.add(t2.div, this.anchors[index2] ? this.anchors[index2] : 0); + const res = tf27.mul(t2.landmarks, this.inputSizeTensor); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + async predict(input, config3) { + var _a; + const t2 = {}; + t2.resize = tf27.image.resizeBilinear(input, [this.inputSize, this.inputSize]); + t2.div = tf27.div(t2.resize, constants.tf127); + t2.image = tf27.sub(t2.div, constants.tf1); + t2.batched = this.model.execute(t2.image); + t2.predictions = tf27.squeeze(t2.batched); + t2.slice = tf27.slice(t2.predictions, [0, 0], [-1, 1]); + t2.sigmoid = tf27.sigmoid(t2.slice); + t2.scores = tf27.squeeze(t2.sigmoid); + const scores = await t2.scores.data(); + t2.boxes = tf27.slice(t2.predictions, [0, 1], [-1, 4]); + t2.norm = this.normalizeBoxes(t2.boxes); + t2.nms = await tf27.image.nonMaxSuppressionAsync(t2.norm, t2.scores, 3 * (((_a = config3.hand) == null ? void 0 : _a.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); + const nms = await t2.nms.array(); + const hands = []; + for (const index2 of nms) { + const p = {}; + p.box = tf27.slice(t2.norm, [index2, 0], [1, -1]); + p.slice = tf27.slice(t2.predictions, [index2, 5], [1, 14]); + p.norm = this.normalizeLandmarks(p.slice, index2); + p.palmLandmarks = tf27.reshape(p.norm, [-1, 2]); + const box = await p.box.data(); + const startPoint = box.slice(0, 2); + const endPoint = box.slice(2, 4); + const palmLandmarks = await p.palmLandmarks.array(); + const hand3 = { startPoint, endPoint, palmLandmarks, confidence: scores[index2] }; + const scaled = scaleBoxCoordinates2(hand3, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]); + hands.push(scaled); + Object.keys(p).forEach((tensor6) => tf27.dispose(p[tensor6])); + } + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return hands; + } +}; + +// src/hand/handposepipeline.ts +var tf28 = __toESM(require_tfjs_esm()); +var palmBoxEnlargeFactor = 5; +var handBoxEnlargeFactor = 1.65; +var palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2]; +var palmLandmarksPalmBase = 0; +var palmLandmarksMiddleFingerBase = 2; +var lastTime13 = 0; +var HandPipeline = class { + constructor(handDetector, handPoseModel2) { + __publicField(this, "handDetector"); + __publicField(this, "handPoseModel"); + __publicField(this, "inputSize"); + __publicField(this, "storedBoxes"); + __publicField(this, "skipped"); + __publicField(this, "detectedHands"); + var _a, _b, _c; + this.handDetector = handDetector; + this.handPoseModel = handPoseModel2; + this.inputSize = ((_c = (_b = (_a = this.handPoseModel) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[2]) || 0; + this.storedBoxes = []; + this.skipped = Number.MAX_SAFE_INTEGER; + this.detectedHands = 0; + } + calculateLandmarksBoundingBox(landmarks) { + const xs = landmarks.map((d) => d[0]); + const ys = landmarks.map((d) => d[1]); + const startPoint = [Math.min(...xs), Math.min(...ys)]; + const endPoint = [Math.max(...xs), Math.max(...ys)]; + return { startPoint, endPoint }; + } + getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) { + const rotatedPalmLandmarks = palmLandmarks.map((coord) => rotatePoint2([...coord, 1], rotationMatrix)); + const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks); + return enlargeBox2(squarifyBox2(boxAroundPalm), palmBoxEnlargeFactor); + } + getBoxForHandLandmarks(landmarks) { + const boundingBox = this.calculateLandmarksBoundingBox(landmarks); + const boxAroundHand = enlargeBox2(squarifyBox2(boundingBox), handBoxEnlargeFactor); + boxAroundHand.palmLandmarks = []; + for (let i = 0; i < palmLandmarkIds.length; i++) { + boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2)); + } + return boxAroundHand; + } + transformRawCoords(rawCoords, box2, angle, rotationMatrix) { + const boxSize = getBoxSize2(box2); + const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2]; + const coordsScaled = rawCoords.map((coord) => [ + scaleFactor[0] * (coord[0] - this.inputSize / 2), + scaleFactor[1] * (coord[1] - this.inputSize / 2), + scaleFactor[2] * coord[2] + ]); + const coordsRotationMatrix = buildRotationMatrix2(angle, [0, 0]); + const coordsRotated = coordsScaled.map((coord) => { + const rotated = rotatePoint2(coord, coordsRotationMatrix); + return [...rotated, coord[2]]; + }); + const inverseRotationMatrix = invertTransformMatrix2(rotationMatrix); + const boxCenter = [...getBoxCenter2(box2), 1]; + const originalBoxCenter = [ + dot2(boxCenter, inverseRotationMatrix[0]), + dot2(boxCenter, inverseRotationMatrix[1]) + ]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + originalBoxCenter[0]), + Math.trunc(coord[1] + originalBoxCenter[1]), + Math.trunc(coord[2]) + ]); + } + async estimateHands(image28, config3) { + let useFreshBox = false; + let boxes; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime13; + const skipFrame = this.skipped < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + boxes = await this.handDetector.predict(image28, config3); + this.skipped = 0; + } + if (config3.skipAllowed) + this.skipped++; + if (boxes && boxes.length > 0 && (boxes.length !== this.detectedHands && this.detectedHands !== config3.hand.maxDetected || !config3.hand.landmarks)) { + this.detectedHands = 0; + this.storedBoxes = [...boxes]; + if (this.storedBoxes.length > 0) + useFreshBox = true; + } + const hands = []; + for (let i = 0; i < this.storedBoxes.length; i++) { + const currentBox = this.storedBoxes[i]; + if (!currentBox) + continue; + if (config3.hand.landmarks) { + const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0; + const palmCenter = getBoxCenter2(currentBox); + const palmCenterNormalized = [palmCenter[0] / image28.shape[2], palmCenter[1] / image28.shape[1]]; + const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? tf28.image.rotateWithOffset(image28, angle, 0, palmCenterNormalized) : image28.clone(); + const rotationMatrix = buildRotationMatrix2(-angle, palmCenter); + const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox; + const croppedInput = cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]); + const handImage = tf28.div(croppedInput, constants.tf255); + tf28.dispose(croppedInput); + tf28.dispose(rotatedImage); + const [confidenceT, keypoints] = this.handPoseModel.execute(handImage); + lastTime13 = now(); + tf28.dispose(handImage); + const confidence = (await confidenceT.data())[0]; + tf28.dispose(confidenceT); + if (confidence >= config3.hand.minConfidence / 4) { + const keypointsReshaped = tf28.reshape(keypoints, [-1, 3]); + const rawCoords = await keypointsReshaped.array(); + tf28.dispose(keypoints); + tf28.dispose(keypointsReshaped); + const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); + const nextBoundingBox = this.getBoxForHandLandmarks(coords); + this.storedBoxes[i] = { ...nextBoundingBox, confidence }; + const result = { + landmarks: coords, + confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: confidence, + box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint } + }; + hands.push(result); + } else { + this.storedBoxes[i] = null; + } + tf28.dispose(keypoints); + } else { + const enlarged = enlargeBox2(squarifyBox2(currentBox), handBoxEnlargeFactor); + const result = { + confidence: currentBox.confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: 0, + box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint }, + landmarks: [] + }; + hands.push(result); + } + } + this.storedBoxes = this.storedBoxes.filter((a) => a !== null); + this.detectedHands = hands.length; + if (hands.length > config3.hand.maxDetected) + hands.length = config3.hand.maxDetected; + return hands; + } +}; + +// src/hand/handpose.ts +var meshAnnotations2 = { + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + palm: [0] +}; +var handDetectorModel; +var handPoseModel; +var handPipeline; +async function predict14(input, config3) { + const predictions = await handPipeline.estimateHands(input, config3); + if (!predictions) + return []; + const hands = []; + for (let i = 0; i < predictions.length; i++) { + const annotations2 = {}; + if (predictions[i].landmarks) { + for (const key of Object.keys(meshAnnotations2)) { + annotations2[key] = meshAnnotations2[key].map((index2) => predictions[i].landmarks[index2]); + } + } + const keypoints = predictions[i].landmarks; + let box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; + let boxRaw = [0, 0, 0, 0]; + if (keypoints && keypoints.length > 0) { + for (const pt of keypoints) { + if (pt[0] < box[0]) + box[0] = pt[0]; + if (pt[1] < box[1]) + box[1] = pt[1]; + if (pt[0] > box[2]) + box[2] = pt[0]; + if (pt[1] > box[3]) + box[3] = pt[1]; + } + box[2] -= box[0]; + box[3] -= box[1]; + boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)]; + } else { + box = predictions[i].box ? [ + Math.trunc(Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.max(0, predictions[i].box.topLeft[1])), + Math.trunc(Math.min(input.shape[2] || 0, predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.min(input.shape[1] || 0, predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])) + ] : [0, 0, 0, 0]; + boxRaw = [ + predictions[i].box.topLeft[0] / (input.shape[2] || 0), + predictions[i].box.topLeft[1] / (input.shape[1] || 0), + (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0), + (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0) + ]; + } + const landmarks = analyze(keypoints); + hands.push({ + id: i, + score: Math.round(100 * predictions[i].confidence) / 100, + boxScore: Math.round(100 * predictions[i].boxConfidence) / 100, + fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100, + label: "hand", + box, + boxRaw, + keypoints, + annotations: annotations2, + landmarks + }); + } + return hands; +} +async function load15(config3) { + var _a, _b; + if (env.initial) { + handDetectorModel = null; + handPoseModel = null; + } + if (!handDetectorModel || !handPoseModel) { + [handDetectorModel, handPoseModel] = await Promise.all([ + config3.hand.enabled ? loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) : null, + config3.hand.landmarks ? loadModel((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) : null + ]); + } else { + if (config3.debug) + log("cached model:", handDetectorModel["modelUrl"]); + if (config3.debug) + log("cached model:", handPoseModel["modelUrl"]); + } + const handDetector = handDetectorModel ? new HandDetector(handDetectorModel) : void 0; + if (handDetector && handPoseModel) + handPipeline = new HandPipeline(handDetector, handPoseModel); + return [handDetectorModel, handPoseModel]; +} + +// src/hand/handtrack.ts +var tf29 = __toESM(require_tfjs_esm()); +var models2 = [null, null]; +var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"]; +var inputSize7 = [[0, 0], [0, 0]]; +var classes = ["hand", "fist", "pinch", "point", "face", "tip", "pinchtip"]; +var faceIndex = 4; +var boxExpandFact = 1.6; +var maxDetectorResolution = 512; +var detectorExpandFact = 1.4; +var skipped13 = Number.MAX_SAFE_INTEGER; +var lastTime14 = 0; +var outputSize = [0, 0]; +var cache4 = { + boxes: [], + hands: [] +}; +var fingerMap = { + /* + thumb: [0, 1, 2, 3, 4], + index: [0, 5, 6, 7, 8], + middle: [0, 9, 10, 11, 12], + ring: [0, 13, 14, 15, 16], + pinky: [0, 17, 18, 19, 20], + palm: [0], + */ + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + base: [0], + palm: [0, 17, 13, 9, 5, 1, 0] +}; +async function loadDetect2(config3) { + var _a; + if (env.initial) + models2[0] = null; + if (!models2[0]) { + fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3); + models2[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath); + const inputs = models2[0]["executor"] ? Object.values(models2[0].modelSignature["inputs"]) : void 0; + inputSize7[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[0]["modelUrl"]); + return models2[0]; +} +async function loadSkeleton(config3) { + var _a; + if (env.initial) + models2[1] = null; + if (!models2[1]) { + models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath); + const inputs = models2[1]["executor"] ? Object.values(models2[1].modelSignature["inputs"]) : void 0; + inputSize7[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[1]["modelUrl"]); + return models2[1]; +} +async function detectHands(input, config3) { + const hands = []; + if (!input || !models2[0]) + return hands; + const t2 = {}; + const ratio2 = (input.shape[2] || 1) / (input.shape[1] || 1); + const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); + const width = Math.round(height * ratio2 / 8) * 8; + t2.resize = tf29.image.resizeBilinear(input, [height, width]); + t2.cast = tf29.cast(t2.resize, "int32"); + [t2.rawScores, t2.rawBoxes] = await models2[0].executeAsync(t2.cast, modelOutputNodes); + t2.boxes = tf29.squeeze(t2.rawBoxes, [0, 2]); + t2.scores = tf29.squeeze(t2.rawScores, [0]); + const classScores = tf29.unstack(t2.scores, 1); + tf29.dispose(classScores[faceIndex]); + classScores.splice(faceIndex, 1); + t2.filtered = tf29.stack(classScores, 1); + tf29.dispose(classScores); + t2.max = tf29.max(t2.filtered, 1); + t2.argmax = tf29.argMax(t2.filtered, 1); + let id = 0; + t2.nms = await tf29.image.nonMaxSuppressionAsync(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); + const nms = await t2.nms.data(); + const scores = await t2.max.data(); + const classNum = await t2.argmax.data(); + for (const nmsIndex of Array.from(nms)) { + const boxSlice = tf29.slice(t2.boxes, nmsIndex, 1); + const boxYX = await boxSlice.data(); + tf29.dispose(boxSlice); + const boxData = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; + const boxRaw = scale(boxData, detectorExpandFact); + const boxFull = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])]; + const score = scores[nmsIndex]; + const label = classes[classNum[nmsIndex]]; + const hand3 = { id: id++, score, box: boxFull, boxRaw, label }; + hands.push(hand3); + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + hands.sort((a, b) => b.score - a.score); + if (hands.length > (config3.hand.maxDetected || 1)) + hands.length = config3.hand.maxDetected || 1; + return hands; +} +async function detectFingers(input, h, config3) { + const hand3 = { + // initial values inherited from hand detect + id: h.id, + score: Math.round(100 * h.score) / 100, + boxScore: Math.round(100 * h.score) / 100, + fingerScore: 0, + box: h.box, + boxRaw: h.boxRaw, + label: h.label, + keypoints: [], + landmarks: {}, + annotations: {} + }; + if (input && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) { + const t2 = {}; + const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]]; + t2.crop = tf29.image.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); + t2.div = tf29.div(t2.crop, constants.tf255); + [t2.score, t2.keypoints] = models2[1].execute(t2.div, ["Identity_1", "Identity"]); + const rawScore = (await t2.score.data())[0]; + const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; + if (score >= (config3.hand.minConfidence || 0)) { + hand3.fingerScore = score; + t2.reshaped = tf29.reshape(t2.keypoints, [-1, 3]); + const coordsData = await t2.reshaped.array(); + const coordsRaw = coordsData.map((kpt4) => [kpt4[0] / inputSize7[1][1], kpt4[1] / inputSize7[1][0], kpt4[2] || 0]); + const coordsNorm = coordsRaw.map((kpt4) => [kpt4[0] * h.boxRaw[2], kpt4[1] * h.boxRaw[3], kpt4[2] || 0]); + hand3.keypoints = coordsNorm.map((kpt4) => [outputSize[0] * (kpt4[0] + h.boxRaw[0]), outputSize[1] * (kpt4[1] + h.boxRaw[1]), kpt4[2] || 0]); + hand3.landmarks = analyze(hand3.keypoints); + for (const key of Object.keys(fingerMap)) { + hand3.annotations[key] = fingerMap[key].map((index2) => hand3.landmarks && hand3.keypoints[index2] ? hand3.keypoints[index2] : null); + } + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + } + return hand3; +} +async function predict15(input, config3) { + var _a, _b; + if (!((_a = models2[0]) == null ? void 0 : _a["executor"]) || !((_b = models2[1]) == null ? void 0 : _b["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) + return []; + outputSize = [input.shape[2] || 0, input.shape[1] || 0]; + skipped13++; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrame = skipped13 < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache4.hands; + } + return new Promise(async (resolve) => { + const skipTimeExtended = 3 * (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrameExtended = skipped13 < 3 * (config3.hand.skipFrames || 0); + if (config3.skipAllowed && cache4.hands.length === config3.hand.maxDetected) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else if (config3.skipAllowed && skipTimeExtended && skipFrameExtended && cache4.hands.length > 0) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else { + cache4.boxes = await detectHands(input, config3); + lastTime14 = now(); + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + skipped13 = 0; + } + const oldCache = [...cache4.boxes]; + cache4.boxes.length = 0; + if (config3.cacheSensitivity > 0) { + for (let i = 0; i < cache4.hands.length; i++) { + const boxKpt = square(cache4.hands[i].keypoints, outputSize); + if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache4.hands[i].fingerScore && cache4.hands[i].fingerScore > (config3.hand.minConfidence || 0)) { + const boxScale = scale(boxKpt.box, boxExpandFact); + const boxScaleRaw = scale(boxKpt.boxRaw, boxExpandFact); + cache4.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw }); + } + } + } + for (let i = 0; i < cache4.hands.length; i++) { + const bbox = calc(cache4.hands[i].keypoints, outputSize); + cache4.hands[i].box = bbox.box; + cache4.hands[i].boxRaw = bbox.boxRaw; + } + resolve(cache4.hands); + }); +} + +// src/result.ts +var empty = (error = null) => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error }); + +// src/body/movenetcoords.ts +var movenetcoords_exports = {}; +__export(movenetcoords_exports, { + connected: () => connected3, + horizontal: () => horizontal, + kpt: () => kpt3, + relative: () => relative, + vertical: () => vertical +}); +var kpt3 = [ + // used to create part labels + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var horizontal = [ + // used to fix left vs right + ["leftEye", "rightEye"], + ["leftEar", "rightEar"], + ["leftShoulder", "rightShoulder"], + ["leftElbow", "rightElbow"], + ["leftWrist", "rightWrist"], + ["leftHip", "rightHip"], + ["leftKnee", "rightKnee"], + ["leftAnkle", "rightAnkle"] +]; +var vertical = [ + // used to remove unlikely keypoint positions + ["leftKnee", "leftShoulder"], + ["rightKnee", "rightShoulder"], + ["leftAnkle", "leftKnee"], + ["rightAnkle", "rightKnee"] +]; +var relative = [ + // used to match relative body parts + [["leftHip", "rightHip"], ["leftShoulder", "rightShoulder"]], + [["leftElbow", "rightElbow"], ["leftShoulder", "rightShoulder"]] +]; +var connected3 = { + // used to create body outline in annotations + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/util/interpolate.ts +var bufferedResult = empty(); +var interpolateTime = 0; +function calc2(newResult, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z; + const t0 = now(); + if (!newResult) + return empty(); + const elapsed = Date.now() - newResult.timestamp; + const bufferedFactor = elapsed < 1e3 ? 8 - Math.log(elapsed + 1) : 1; + if (newResult.canvas) + bufferedResult.canvas = newResult.canvas; + if (newResult.error) + bufferedResult.error = newResult.error; + if (!bufferedResult.body || newResult.body.length !== bufferedResult.body.length) { + bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)); + } else { + for (let i = 0; i < newResult.body.length; i++) { + const box = newResult.body[i].box.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor); + const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor); + const keypoints = newResult.body[i].keypoints.map((newKpt, j) => { + var _a2, _b2, _c2, _d2, _e2, _f2, _g2, _h2, _i2; + return { + score: newKpt.score, + part: newKpt.part, + position: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] + ], + positionRaw: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] + ], + distance: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_a2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _a2[0]) || 0) + (((_b2 = newKpt.distance) == null ? void 0 : _b2[0]) || 0)) / bufferedFactor : (_c2 = newKpt.distance) == null ? void 0 : _c2[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_d2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _d2[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f2 = newKpt.distance) == null ? void 0 : _f2[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_g2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _g2[2]) || 0) + (((_h2 = newKpt.distance) == null ? void 0 : _h2[2]) || 0)) / bufferedFactor : (_i2 = newKpt.distance) == null ? void 0 : _i2[2] + ] + }; + }); + const annotations2 = {}; + let coords = { connected: {} }; + if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("efficientpose")) + coords = efficientposecoords_exports; + else if ((_b = config3.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + coords = blazeposecoords_exports; + else if ((_c = config3.body.modelPath) == null ? void 0 : _c.includes("movenet")) + coords = movenetcoords_exports; + for (const [name, indexes] of Object.entries(coords.connected)) { + const pt = []; + for (let j = 0; j < indexes.length - 1; j++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[j]); + const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.hand || newResult.hand.length !== bufferedResult.hand.length) { + bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); + } else { + for (let i = 0; i < newResult.hand.length; i++) { + const box = newResult.hand[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.hand[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor); + if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) + bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; + const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; + let annotations2 = {}; + if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) { + bufferedResult.hand[i].annotations = newResult.hand[i].annotations; + annotations2 = bufferedResult.hand[i].annotations; + } else if (newResult.hand[i].annotations) { + for (const key of Object.keys(newResult.hand[i].annotations)) { + annotations2[key] = ((_f = (_e = (_d = newResult.hand[i]) == null ? void 0 : _d.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f[0]) ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { + bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)); + } else { + for (let i = 0; i < newResult.face.length; i++) { + const box = newResult.face[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.face[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor); + let annotations2 = newResult.face[i].annotations; + if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) { + bufferedResult.face[i].annotations = newResult.face[i].annotations; + annotations2 = bufferedResult.face[i].annotations; + } else if (newResult.face[i].annotations) { + for (const key of Object.keys(newResult.face[i].annotations)) { + annotations2[key] = ((_i = (_h = (_g = newResult.face[i]) == null ? void 0 : _g.annotations) == null ? void 0 : _h[key]) == null ? void 0 : _i[0]) ? newResult.face[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + if (newResult.face[i].rotation) { + const rotation = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } }; + rotation.matrix = (_j = newResult.face[i].rotation) == null ? void 0 : _j.matrix; + rotation.angle = { + roll: ((bufferedFactor - 1) * (((_l = (_k = bufferedResult.face[i].rotation) == null ? void 0 : _k.angle) == null ? void 0 : _l.roll) || 0) + (((_n = (_m = newResult.face[i].rotation) == null ? void 0 : _m.angle) == null ? void 0 : _n.roll) || 0)) / bufferedFactor, + yaw: ((bufferedFactor - 1) * (((_p = (_o = bufferedResult.face[i].rotation) == null ? void 0 : _o.angle) == null ? void 0 : _p.yaw) || 0) + (((_r = (_q = newResult.face[i].rotation) == null ? void 0 : _q.angle) == null ? void 0 : _r.yaw) || 0)) / bufferedFactor, + pitch: ((bufferedFactor - 1) * (((_t = (_s = bufferedResult.face[i].rotation) == null ? void 0 : _s.angle) == null ? void 0 : _t.pitch) || 0) + (((_v = (_u = newResult.face[i].rotation) == null ? void 0 : _u.angle) == null ? void 0 : _v.pitch) || 0)) / bufferedFactor + }; + rotation.gaze = { + // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive + bearing: ((bufferedFactor - 1) * (((_w = bufferedResult.face[i].rotation) == null ? void 0 : _w.gaze.bearing) || 0) + (((_x = newResult.face[i].rotation) == null ? void 0 : _x.gaze.bearing) || 0)) / bufferedFactor, + strength: ((bufferedFactor - 1) * (((_y = bufferedResult.face[i].rotation) == null ? void 0 : _y.gaze.strength) || 0) + (((_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze.strength) || 0)) / bufferedFactor + }; + bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations: annotations2 }; + } else { + bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations: annotations2 }; + } + } + } + if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) { + bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)); + } else { + for (let i = 0; i < newResult.object.length; i++) { + const box = newResult.object[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.object[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor); + bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; + } + } + if (newResult.persons) { + const newPersons = newResult.persons; + if (!bufferedResult.persons || newPersons.length !== bufferedResult.persons.length) { + bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)); + } else { + for (let i = 0; i < newPersons.length; i++) { + bufferedResult.persons[i].box = newPersons[i].box.map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor); + } + } + } + if (newResult.gesture) + bufferedResult.gesture = newResult.gesture; + bufferedResult.width = newResult.width; + bufferedResult.height = newResult.height; + const t1 = now(); + interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0); + if (newResult.performance) + bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime }; + return bufferedResult; +} + +// src/segmentation/meet.ts +var tf30 = __toESM(require_tfjs_esm()); +var model17; +async function load16(config3) { + if (!model17 || env.initial) + model17 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model17["modelUrl"]); + return model17; +} +async function predict16(input, config3) { + var _a; + if (!model17) + model17 = await load16(config3); + if (!(model17 == null ? void 0 : model17["executor"]) || !((_a = model17 == null ? void 0 : model17.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf30.image.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); + t2.norm = tf30.div(t2.resize, constants.tf255); + t2.res = model17.execute(t2.norm); + t2.squeeze = tf30.squeeze(t2.res, [0]); + [t2.bgRaw, t2.fgRaw] = tf30.unstack(t2.squeeze, 2); + t2.fg = tf30.softmax(t2.fgRaw); + t2.mul = tf30.mul(t2.fg, constants.tf255); + t2.expand = tf30.expandDims(t2.mul, 2); + t2.output = tf30.image.resizeBilinear(t2.expand, [input.shape[1] || 0, input.shape[2] || 0]); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf30.squeeze(input); + t2.concat = tf30.concat([t2.input, t2.output], -1); + rgba = tf30.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf30.cast(t2.output, "int32"); + break; + default: + rgba = tf30.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf30.dispose(t2[tensor6])); + return rgba; +} + +// src/face/match.ts +var match_exports = {}; +__export(match_exports, { + distance: () => distance, + find: () => find, + similarity: () => similarity +}); +function distance(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25 }) { + if (!descriptor1 || !descriptor1) + return Number.MAX_SAFE_INTEGER; + let sum3 = 0; + for (let i = 0; i < descriptor1.length; i++) { + const diff = !options4.order || options4.order === 2 ? descriptor1[i] - descriptor2[i] : Math.abs(descriptor1[i] - descriptor2[i]); + sum3 += !options4.order || options4.order === 2 ? diff * diff : diff ** options4.order; + } + return (options4.multiplier || 20) * sum3; +} +var normalizeDistance = (dist, order, min2, max5) => { + if (dist === 0) + return 1; + const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); + const norm = (1 - root / 100 - min2) / (max5 - min2); + const clamp2 = Math.max(Math.min(norm, 1), 0); + return clamp2; +}; +function similarity(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) { + const dist = distance(descriptor1, descriptor2, options4); + return normalizeDistance(dist, options4.order || 2, options4.min || 0, options4.max || 1); +} +function find(descriptor, descriptors, options4 = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) { + if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { + return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 }; + } + let lowestDistance = Number.MAX_SAFE_INTEGER; + let index2 = -1; + for (let i = 0; i < descriptors.length; i++) { + const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options4) : Number.MAX_SAFE_INTEGER; + if (res < lowestDistance) { + lowestDistance = res; + index2 = i; + } + if (lowestDistance < (options4.threshold || 0)) + break; + } + const normalizedSimilarity = normalizeDistance(lowestDistance, options4.order || 2, options4.min || 0, options4.max || 1); + return { index: index2, distance: lowestDistance, similarity: normalizedSimilarity }; +} + +// src/models.ts +var models_exports2 = {}; +__export(models_exports2, { + Models: () => Models, + validateModel: () => validateModel +}); + +// src/body/movenet.ts +var tf32 = __toESM(require_tfjs_esm()); + +// src/body/movenetfix.ts +var tf31 = __toESM(require_tfjs_esm()); +var maxJitter = 5e-3; +var cache5 = { + keypoints: [], + padding: [[0, 0], [0, 0], [0, 0], [0, 0]] +}; +function bodyParts(body4) { + for (const pair of horizontal) { + const left = body4.keypoints.findIndex((kp) => kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp.part === pair[1]); + if (body4.keypoints[left] && body4.keypoints[right]) { + if (body4.keypoints[left].position[0] < body4.keypoints[right].position[0]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } + } + for (const pair of vertical) { + const lower = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const higher = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + if (body4.keypoints[lower] && body4.keypoints[higher]) { + if (body4.keypoints[lower].position[1] < body4.keypoints[higher].position[1]) { + body4.keypoints.splice(lower, 1); + } + } + } + for (const [pair, compare2] of relative) { + const left = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + const leftTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[0]); + const rightTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[1]); + if (!body4.keypoints[leftTo] || !body4.keypoints[rightTo]) + continue; + const distanceLeft = body4.keypoints[left] ? [ + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[left].position[0]), + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[left].position[0]) + ] : [0, 0]; + const distanceRight = body4.keypoints[right] ? [ + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[right].position[0]), + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[right].position[0]) + ] : [0, 0]; + if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } +} +function jitter(keypoints) { + for (let i = 0; i < keypoints.length; i++) { + if (keypoints[i] && cache5.keypoints[i]) { + const diff = [Math.abs(keypoints[i].positionRaw[0] - cache5.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache5.keypoints[i].positionRaw[1])]; + if (diff[0] < maxJitter && diff[1] < maxJitter) { + keypoints[i] = cache5.keypoints[i]; + } else { + cache5.keypoints[i] = keypoints[i]; + } + } else { + cache5.keypoints[i] = keypoints[i]; + } + } + return keypoints; +} +function padInput(input, inputSize10) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + cache5.padding = [ + [0, 0], + // dont touch batch + [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], + // height before&after + [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf31.pad(input, cache5.padding); + t2.resize = tf31.image.resizeBilinear(t2.pad, [inputSize10, inputSize10]); + const final = tf31.cast(t2.resize, "int32"); + Object.keys(t2).forEach((tensor6) => tf31.dispose(t2[tensor6])); + return final; +} +function rescaleBody(body4, outputSize2) { + body4.keypoints = body4.keypoints.filter((kpt4) => kpt4 == null ? void 0 : kpt4.position); + for (const kpt4 of body4.keypoints) { + kpt4.position = [ + kpt4.position[0] * (outputSize2[0] + cache5.padding[2][0] + cache5.padding[2][1]) / outputSize2[0] - cache5.padding[2][0], + kpt4.position[1] * (outputSize2[1] + cache5.padding[1][0] + cache5.padding[1][1]) / outputSize2[1] - cache5.padding[1][0] + ]; + kpt4.positionRaw = [ + kpt4.position[0] / outputSize2[0], + kpt4.position[1] / outputSize2[1] + ]; + } + const rescaledBoxes = calc(body4.keypoints.map((pt) => pt.position), outputSize2); + body4.box = rescaledBoxes.box; + body4.boxRaw = rescaledBoxes.boxRaw; + return body4; +} + +// src/body/movenet.ts +var model18; +var inputSize8 = 0; +var skipped14 = Number.MAX_SAFE_INTEGER; +var cache6 = { + boxes: [], + bodies: [], + last: 0 +}; +async function load17(config3) { + var _a; + if (env.initial) + model18 = null; + if (!model18) { + fakeOps(["size"], config3); + model18 = await loadModel(config3.body.modelPath); + } else if (config3.debug) + log("cached model:", model18["modelUrl"]); + inputSize8 = (model18 == null ? void 0 : model18["executor"]) && ((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape) ? model18.inputs[0].shape[2] : 0; + if (inputSize8 < 64) + inputSize8 = 256; + if (tf32.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf32.env().set("WEBGL_USE_SHAPES_UNIFORMS", false); + return model18; +} +function parseSinglePose(res, config3, image28) { + const kpt4 = res[0][0]; + const keypoints = []; + let score = 0; + for (let id = 0; id < kpt4.length; id++) { + score = kpt4[id][2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[id][1], kpt4[id][0]]; + keypoints.push({ + score: Math.round(100 * score) / 100, + part: kpt3[id], + positionRaw, + position: [ + // normalized to input image size + Math.round((image28.shape[2] || 0) * positionRaw[0]), + Math.round((image28.shape[1] || 0) * positionRaw[1]) + ] + }); + } + } + score = keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const bodies = []; + const newBox = calc(keypoints.map((pt) => pt.position), [image28.shape[2], image28.shape[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + return bodies; +} +function parseMultiPose(res, config3, image28) { + const bodies = []; + for (let id = 0; id < res[0].length; id++) { + const kpt4 = res[0][id]; + const boxScore = Math.round(100 * kpt4[51 + 4]) / 100; + if (boxScore > config3.body.minConfidence) { + const keypoints = []; + for (let i = 0; i < 17; i++) { + const score = kpt4[3 * i + 2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[3 * i + 1], kpt4[3 * i + 0]]; + keypoints.push({ + part: kpt3[i], + score: Math.round(100 * score) / 100, + positionRaw, + position: [Math.round((image28.shape[2] || 0) * positionRaw[0]), Math.round((image28.shape[1] || 0) * positionRaw[1])] + }); + } + } + const boxRaw = [kpt4[51 + 1], kpt4[51 + 0], kpt4[51 + 3] - kpt4[51 + 1], kpt4[51 + 2] - kpt4[51 + 0]]; + const boxNorm = [Math.trunc(boxRaw[0] * (image28.shape[2] || 0)), Math.trunc(boxRaw[1] * (image28.shape[1] || 0)), Math.trunc(boxRaw[2] * (image28.shape[2] || 0)), Math.trunc(boxRaw[3] * (image28.shape[1] || 0))]; + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + } + } + bodies.sort((a, b) => b.score - a.score); + if (bodies.length > config3.body.maxDetected) + bodies.length = config3.body.maxDetected; + return bodies; +} +async function predict17(input, config3) { + var _a; + if (!(model18 == null ? void 0 : model18["executor"]) || !((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape)) + return []; + if (!config3.skipAllowed) + cache6.boxes.length = 0; + skipped14++; + const skipTime = (config3.body.skipTime || 0) > now() - cache6.last; + const skipFrame = skipped14 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache6.bodies; + } + return new Promise(async (resolve) => { + const t2 = {}; + skipped14 = 0; + t2.input = padInput(input, inputSize8); + t2.res = model18 == null ? void 0 : model18.execute(t2.input); + cache6.last = now(); + const res = await t2.res.array(); + cache6.bodies = t2.res.shape[2] === 17 ? parseSinglePose(res, config3, input) : parseMultiPose(res, config3, input); + for (const body4 of cache6.bodies) { + rescaleBody(body4, [input.shape[2] || 1, input.shape[1] || 1]); + jitter(body4.keypoints); + } + Object.keys(t2).forEach((tensor6) => tf32.dispose(t2[tensor6])); + resolve(cache6.bodies); + }); +} + +// src/object/nanodet.ts +var tf33 = __toESM(require_tfjs_esm()); +var model19; +var last10 = []; +var lastTime15 = 0; +var skipped15 = Number.MAX_SAFE_INTEGER; +var inputSize9 = 0; +var scaleBox = 2.5; +async function load18(config3) { + if (!model19 || env.initial) { + model19 = await loadModel(config3.object.modelPath); + const inputs = (model19 == null ? void 0 : model19["executor"]) ? Object.values(model19.modelSignature["inputs"]) : void 0; + inputSize9 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416; + } else if (config3.debug) + log("cached model:", model19["modelUrl"]); + return model19; +} +async function process4(res, outputShape, config3) { + var _a, _b; + let id = 0; + let results = []; + const size2 = inputSize9; + for (const strideSize of [1, 2, 4]) { + const baseSize = strideSize * 13; + const scoresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); + const scores = await scoresT.array(); + const featuresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); + const boxesMaxT = tf33.reshape(featuresT, [-1, 4, (((_a = featuresT.shape) == null ? void 0 : _a[1]) || 0) / 4]); + const boxIdxT = tf33.argMax(boxesMaxT, 2); + const boxIdx = await boxIdxT.array(); + for (let i = 0; i < scoresT.shape[0]; i++) { + for (let j = 0; j < (((_b = scoresT.shape) == null ? void 0 : _b[1]) || 0); j++) { + const score = scores[i][j]; + if (score > (config3.object.minConfidence || 0) && j !== 61) { + const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; + const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; + const boxOffset = boxIdx[i].map((a) => a * (baseSize / strideSize / size2)); + const [x, y] = [ + cx - scaleBox / strideSize * boxOffset[0], + cy - scaleBox / strideSize * boxOffset[1] + ]; + const [w, h] = [ + cx + scaleBox / strideSize * boxOffset[2] - x, + cy + scaleBox / strideSize * boxOffset[3] - y + ]; + let boxRaw = [x, y, w, h]; + boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))); + const box = [ + // results normalized to input image pixels + boxRaw[0] * outputShape[0], + boxRaw[1] * outputShape[1], + boxRaw[2] * outputShape[0], + boxRaw[3] * outputShape[1] + ]; + const result = { + id: id++, + // strideSize, + score: Math.round(100 * score) / 100, + class: j + 1, + label: labels2[j].label, + // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)], + // centerRaw: [cx, cy], + box: box.map((a) => Math.trunc(a)), + boxRaw + }; + results.push(result); + } + } + } + tf33.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]); + } + const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); + const nmsScores = results.map((a) => a.score); + let nmsIdx = []; + if (nmsBoxes && nmsBoxes.length > 0) { + const nms = await tf33.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); + nmsIdx = Array.from(await nms.data()); + tf33.dispose(nms); + } + results = results.filter((_val, idx) => nmsIdx.includes(idx)).sort((a, b) => b.score - a.score); + return results; +} +async function predict18(image28, config3) { + if (!(model19 == null ? void 0 : model19["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime15; + const skipFrame = skipped15 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last10.length > 0) { + skipped15++; + return last10; + } + skipped15 = 0; + if (!env.kernels.includes("mod") || !env.kernels.includes("sparsetodense")) + return last10; + return new Promise(async (resolve) => { + const outputSize2 = [image28.shape[2] || 0, image28.shape[1] || 0]; + const resizeT = tf33.image.resizeBilinear(image28, [inputSize9, inputSize9], false); + const normT = tf33.div(resizeT, constants.tf255); + const transposeT = tf33.transpose(normT, [0, 3, 1, 2]); + let objectT; + if (config3.object.enabled) + objectT = model19.execute(transposeT); + lastTime15 = now(); + const obj = await process4(objectT, outputSize2, config3); + last10 = obj; + tf33.dispose([resizeT, normT, transposeT, ...objectT]); + resolve(obj); + }); +} + +// src/body/posenet.ts +var tf34 = __toESM(require_tfjs_esm()); + +// src/body/posenetutils.ts +var partNames = [ + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var count = partNames.length; +var partIds = partNames.reduce((result, jointName, i) => { + result[jointName] = i; + return result; +}, {}); +var connectedPartNames = [ + ["leftHip", "leftShoulder"], + ["leftElbow", "leftShoulder"], + ["leftElbow", "leftWrist"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["rightHip", "rightShoulder"], + ["rightElbow", "rightShoulder"], + ["rightElbow", "rightWrist"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"], + ["leftShoulder", "rightShoulder"], + ["leftHip", "rightHip"] +]; +var connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => [partIds[jointNameA], partIds[jointNameB]]); +var poseChain = [ + ["nose", "leftEye"], + ["leftEye", "leftEar"], + ["nose", "rightEye"], + ["rightEye", "rightEar"], + ["nose", "leftShoulder"], + ["leftShoulder", "leftElbow"], + ["leftElbow", "leftWrist"], + ["leftShoulder", "leftHip"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["nose", "rightShoulder"], + ["rightShoulder", "rightElbow"], + ["rightElbow", "rightWrist"], + ["rightShoulder", "rightHip"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"] +]; +function getBoundingBox(keypoints) { + const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({ + maxX: Math.max(maxX, x), + maxY: Math.max(maxY, y), + minX: Math.min(minX, x), + minY: Math.min(minY, y) + }), { + maxX: Number.NEGATIVE_INFINITY, + maxY: Number.NEGATIVE_INFINITY, + minX: Number.POSITIVE_INFINITY, + minY: Number.POSITIVE_INFINITY + }); + return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY]; +} +function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) { + const scaleY = height / inputResolutionHeight; + const scaleX = width / inputResolutionWidth; + const scalePose = (pose, i) => ({ + id: i, + score: pose.score, + boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight], + box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)], + keypoints: pose.keypoints.map(({ score, part, position }) => ({ + score, + part, + position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)], + positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] + })), + annotations: {} + }); + const scaledPoses = poses.map((pose, i) => scalePose(pose, i)); + return scaledPoses; +} +var MaxHeap = class { + // function call + constructor(maxSize2, getElementValue) { + __publicField(this, "priorityQueue"); + // don't touch + __publicField(this, "numberOfElements"); + __publicField(this, "getElementValue"); + this.priorityQueue = new Array(maxSize2); + this.numberOfElements = -1; + this.getElementValue = getElementValue; + } + enqueue(x) { + this.priorityQueue[++this.numberOfElements] = x; + this.swim(this.numberOfElements); + } + dequeue() { + const max5 = this.priorityQueue[0]; + this.exchange(0, this.numberOfElements--); + this.sink(0); + this.priorityQueue[this.numberOfElements + 1] = null; + return max5; + } + empty() { + return this.numberOfElements === -1; + } + size() { + return this.numberOfElements + 1; + } + all() { + return this.priorityQueue.slice(0, this.numberOfElements + 1); + } + max() { + return this.priorityQueue[0]; + } + swim(k) { + while (k > 0 && this.less(Math.floor(k / 2), k)) { + this.exchange(k, Math.floor(k / 2)); + k = Math.floor(k / 2); + } + } + sink(k) { + while (2 * k <= this.numberOfElements) { + let j = 2 * k; + if (j < this.numberOfElements && this.less(j, j + 1)) + j++; + if (!this.less(k, j)) + break; + this.exchange(k, j); + k = j; + } + } + getValueAt(i) { + return this.getElementValue(this.priorityQueue[i]); + } + less(i, j) { + return this.getValueAt(i) < this.getValueAt(j); + } + exchange(i, j) { + const t2 = this.priorityQueue[i]; + this.priorityQueue[i] = this.priorityQueue[j]; + this.priorityQueue[j] = t2; + } +}; +function getOffsetPoint(y, x, keypoint, offsets) { + return { + y: offsets.get(y, x, keypoint), + x: offsets.get(y, x, keypoint + count) + }; +} +function getImageCoords(part, outputStride2, offsets) { + const { heatmapY, heatmapX, id: keypoint } = part; + const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); + return { + x: part.heatmapX * outputStride2 + x, + y: part.heatmapY * outputStride2 + y + }; +} +function clamp(a, min2, max5) { + if (a < min2) + return min2; + if (a > max5) + return max5; + return a; +} +function squaredDistance(y1, x1, y2, x2) { + const dy = y2 - y1; + const dx = x2 - x1; + return dy * dy + dx * dx; +} +function addVectors(a, b) { + return { x: a.x + b.x, y: a.y + b.y }; +} + +// src/body/posenet.ts +var model20; +var poseNetOutputs = [ + "MobilenetV1/offset_2/BiasAdd", + "MobilenetV1/heatmap_2/BiasAdd", + "MobilenetV1/displacement_fwd_2/BiasAdd", + "MobilenetV1/displacement_bwd_2/BiasAdd" + /* displacementBwd */ +]; +var localMaximumRadius = 1; +var outputStride = 16; +var squaredNmsRadius = 50 ** 2; +function traverse(edgeId, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) { + const getDisplacement = (point2) => ({ + y: displacements.get(point2.y, point2.x, edgeId), + x: displacements.get(point2.y, point2.x, displacements.shape[2] / 2 + edgeId) + }); + const getStridedIndexNearPoint = (point2, height2, width2) => ({ + y: clamp(Math.round(point2.y / outputStride), 0, height2 - 1), + x: clamp(Math.round(point2.x / outputStride), 0, width2 - 1) + }); + const [height, width] = scores.shape; + const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width); + const displacement = getDisplacement(sourceKeypointIndices); + const displacedPoint = addVectors(sourceKeypoint.position, displacement); + let targetKeypoint = displacedPoint; + for (let i = 0; i < offsetRefineStep; i++) { + const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const offsetPoint = getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets); + targetKeypoint = addVectors( + { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride }, + { x: offsetPoint.x, y: offsetPoint.y } + ); + } + const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId); + return { position: targetKeypoint, part: partNames[targetId], score }; +} +function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) { + const tuples = poseChain.map(([parentJoinName, childJoinName]) => [partIds[parentJoinName], partIds[childJoinName]]); + const edgesFwd = tuples.map(([, childJointId]) => childJointId); + const edgesBwd = tuples.map(([parentJointId]) => parentJointId); + const numParts = scores.shape[2]; + const numEdges = edgesFwd.length; + const keypoints = new Array(numParts); + const rootPoint = getImageCoords(root.part, outputStride, offsets); + keypoints[root.part.id] = { + score: root.score, + part: partNames[root.part.id], + position: rootPoint + }; + for (let edge = numEdges - 1; edge >= 0; --edge) { + const sourceId = edgesFwd[edge]; + const targetId = edgesBwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd); + } + } + for (let edge = 0; edge < numEdges; ++edge) { + const sourceId = edgesBwd[edge]; + const targetId = edgesFwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd); + } + } + return keypoints; +} +function scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores) { + const [height, width] = scores.shape; + let localMaximum = true; + const yStart = Math.max(heatmapY - localMaximumRadius, 0); + const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height); + for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) { + const xStart = Math.max(heatmapX - localMaximumRadius, 0); + const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width); + for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) { + if (scores.get(yCurrent, xCurrent, keypointId) > score) { + localMaximum = false; + break; + } + } + if (!localMaximum) + break; + } + return localMaximum; +} +function buildPartWithScoreQueue(minConfidence2, scores) { + const [height, width, numKeypoints] = scores.shape; + const queue = new MaxHeap(height * width * numKeypoints, ({ score }) => score); + for (let heatmapY = 0; heatmapY < height; ++heatmapY) { + for (let heatmapX = 0; heatmapX < width; ++heatmapX) { + for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) { + const score = scores.get(heatmapY, heatmapX, keypointId); + if (score < minConfidence2) + continue; + if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) + queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } }); + } + } + } + return queue; +} +function withinRadius(poses, { x, y }, keypointId) { + return poses.some(({ keypoints }) => { + var _a; + const correspondingKeypoint = (_a = keypoints[keypointId]) == null ? void 0 : _a.position; + if (!correspondingKeypoint) + return false; + return squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; + }); +} +function getInstanceScore(existingPoses, keypoints) { + const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => { + if (!withinRadius(existingPoses, position, keypointId)) + result += score; + return result; + }, 0); + return notOverlappedKeypointScores / keypoints.length; +} +function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence2) { + const poses = []; + const queue = buildPartWithScoreQueue(minConfidence2, scores); + while (poses.length < maxDetected && !queue.empty()) { + const root = queue.dequeue(); + const rootImageCoords = getImageCoords(root.part, outputStride, offsets); + if (withinRadius(poses, rootImageCoords, root.part.id)) + continue; + let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd); + keypoints = keypoints.filter((a) => a.score > minConfidence2); + const score = getInstanceScore(poses, keypoints); + const box = getBoundingBox(keypoints); + if (score > minConfidence2) + poses.push({ keypoints, box, score: Math.round(100 * score) / 100 }); + } + return poses; +} +async function predict19(input, config3) { + if (!(model20 == null ? void 0 : model20["executor"])) + return []; + const res = tf34.tidy(() => { + if (!model20.inputs[0].shape) + return []; + const resized = tf34.image.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + const normalized = tf34.sub(tf34.div(tf34.cast(resized, "float32"), 127.5), 1); + const results = model20.execute(normalized, poseNetOutputs); + const results3d = results.map((y) => tf34.squeeze(y, [0])); + results3d[1] = tf34.sigmoid(results3d[1]); + return results3d; + }); + const buffers = await Promise.all(res.map((tensor6) => tensor6.buffer())); + for (const t2 of res) + tf34.dispose(t2); + const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config3.body.maxDetected, config3.body.minConfidence); + if (!model20.inputs[0].shape) + return []; + const scaled = scalePoses(decoded, [input.shape[1], input.shape[2]], [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + return scaled; +} +async function load19(config3) { + if (!model20 || env.initial) + model20 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model20["modelUrl"]); + return model20; +} + +// src/segmentation/rvm.ts +var tf35 = __toESM(require_tfjs_esm()); +var model21; +var outputNodes2 = ["fgr", "pha", "r1o", "r2o", "r3o", "r4o"]; +var t = {}; +var ratio = 0; +function init3(config3) { + tf35.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]); + t.r1i = tf35.tensor(0); + t.r2i = tf35.tensor(0); + t.r3i = tf35.tensor(0); + t.r4i = tf35.tensor(0); + ratio = config3.segmentation.ratio || 0.5; + t.downsample_ratio = tf35.tensor(ratio); +} +async function load20(config3) { + if (!model21 || env.initial) + model21 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model21["modelUrl"]); + init3(config3); + return model21; +} +var normalize = (r) => tf35.tidy(() => { + const squeeze14 = tf35.squeeze(r, [0]); + const mul15 = tf35.mul(squeeze14, constants.tf255); + const cast8 = tf35.cast(mul15, "int32"); + return cast8; +}); +function getRGBA(fgr, pha) { + const rgb3 = fgr ? normalize(fgr) : tf35.fill([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); + const a = pha ? normalize(pha) : tf35.fill([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); + const rgba = tf35.concat([rgb3, a], -1); + tf35.dispose([rgb3, a]); + return rgba; +} +function getState(state) { + return tf35.tidy(() => { + const r = {}; + r.unstack = tf35.unstack(state, -1); + r.concat = tf35.concat(r.unstack, 1); + r.split = tf35.split(r.concat, 4, 1); + r.stack = tf35.concat(r.split, 2); + r.squeeze = tf35.squeeze(r.stack, [0]); + r.expand = tf35.expandDims(r.squeeze, -1); + r.add = tf35.add(r.expand, 1); + r.mul = tf35.mul(r.add, 127.5); + r.cast = tf35.cast(r.mul, "int32"); + r.tile = tf35.tile(r.cast, [1, 1, 3]); + r.alpha = tf35.fill([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); + return tf35.concat([r.tile, r.alpha], -1); + }); +} +async function predict20(input, config3) { + if (!model21) + model21 = await load20(config3); + if (!(model21 == null ? void 0 : model21["executor"])) + return null; + t.src = tf35.div(input, 255); + if (ratio !== config3.segmentation.ratio) + init3(config3); + const [fgr, pha, r1o, r2o, r3o, r4o] = await model21.executeAsync(t, outputNodes2); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + rgba = getRGBA(fgr, pha); + break; + case "alpha": + rgba = getRGBA(null, pha); + break; + case "foreground": + rgba = getRGBA(fgr, null); + break; + case "state": + rgba = getState(r1o); + break; + default: + rgba = tf35.tensor(0); + } + tf35.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]); + [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; + return rgba; +} + +// src/segmentation/selfie.ts +var tf36 = __toESM(require_tfjs_esm()); +var model22; +async function load21(config3) { + if (!model22 || env.initial) + model22 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model22["modelUrl"]); + return model22; +} +async function predict21(input, config3) { + var _a; + if (!model22) + model22 = await load21(config3); + if (!(model22 == null ? void 0 : model22["executor"]) || !((_a = model22 == null ? void 0 : model22.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf36.image.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); + t2.norm = tf36.div(t2.resize, constants.tf255); + t2.res = model22.execute(t2.norm); + t2.squeeze = tf36.squeeze(t2.res, [0]); + t2.alpha = tf36.image.resizeBilinear(t2.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); + t2.mul = tf36.mul(t2.alpha, constants.tf255); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf36.squeeze(input); + t2.concat = tf36.concat([t2.input, t2.mul], -1); + rgba = tf36.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf36.cast(t2.mul, "int32"); + break; + default: + rgba = tf36.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf36.dispose(t2[tensor6])); + return rgba; +} + +// src/models.ts +function validateModel(instance, model23, name) { + var _a, _b; + if (!model23) + return null; + if (!((_a = instance == null ? void 0 : instance.config) == null ? void 0 : _a.validateModels)) + return null; + const simpleOps = ["const", "placeholder", "noop", "pad", "squeeze", "add", "sub", "mul", "div"]; + const ignoreOps = ["biasadd", "fusedbatchnormv3", "matmul", "switch", "shape", "merge", "split", "broadcastto"]; + const ops = []; + const missing = []; + const url = model23["modelUrl"]; + const executor = model23["executor"]; + if ((_b = executor == null ? void 0 : executor.graph) == null ? void 0 : _b.nodes) { + for (const kernel of Object.values(executor.graph.nodes)) { + const op = kernel.op.toLowerCase(); + if (!ops.includes(op)) + ops.push(op); + } + } else { + if (!executor && instance.config.debug) { + log("model not loaded", name); + } + } + for (const op of ops) { + if (!simpleOps.includes(op) && !ignoreOps.includes(op) && !instance.env.kernels.includes(op) && !instance.env.kernels.includes(op.replace("_", "")) && !instance.env.kernels.includes(op.replace("native", "")) && !instance.env.kernels.includes(op.replace("v2", ""))) { + missing.push(op); + } + } + if (instance.config.debug && missing.length > 0) + log("model validation failed:", name, missing); + return missing.length > 0 ? { name, missing, ops, url } : null; +} +var Models = class { + constructor(currentInstance) { + __publicField(this, "instance"); + __publicField(this, "models", {}); + this.models = {}; + this.instance = currentInstance; + } + stats() { + let totalSizeFromManifest = 0; + let totalSizeWeights = 0; + let totalSizeLoading = 0; + for (const m of Object.values(modelStats)) { + totalSizeFromManifest += m.sizeFromManifest; + totalSizeWeights += m.sizeLoadedWeights; + totalSizeLoading += m.sizeDesired; + } + const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0; + return { + numLoadedModels: Object.values(modelStats).length, + numDefinedModels: Object.keys(this.models).length, + percentageLoaded, + totalSizeFromManifest, + totalSizeWeights, + totalSizeLoading, + modelStats: Object.values(modelStats) + }; + } + reset() { + for (const model23 of Object.keys(this.models)) + this.models[model23] = null; + } + async load(instance) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z, _A; + if (env.initial) + this.reset(); + if (instance) + this.instance = instance; + const m = {}; + m.blazeface = this.instance.config.face.enabled && !this.models.blazeface ? load3(this.instance.config) : null; + m.antispoof = this.instance.config.face.enabled && ((_a = this.instance.config.face.antispoof) == null ? void 0 : _a.enabled) && !this.models.antispoof ? load8(this.instance.config) : null; + m.liveness = this.instance.config.face.enabled && ((_b = this.instance.config.face.liveness) == null ? void 0 : _b.enabled) && !this.models.liveness ? load9(this.instance.config) : null; + m.faceres = this.instance.config.face.enabled && ((_c = this.instance.config.face.description) == null ? void 0 : _c.enabled) && !this.models.faceres ? load7(this.instance.config) : null; + m.emotion = this.instance.config.face.enabled && ((_d = this.instance.config.face.emotion) == null ? void 0 : _d.enabled) && !this.models.emotion ? load6(this.instance.config) : null; + m.iris = this.instance.config.face.enabled && ((_e = this.instance.config.face.iris) == null ? void 0 : _e.enabled) && !((_f = this.instance.config.face.attention) == null ? void 0 : _f.enabled) && !this.models.iris ? load4(this.instance.config) : null; + m.facemesh = this.instance.config.face.enabled && ((_g = this.instance.config.face.mesh) == null ? void 0 : _g.enabled) && !this.models.facemesh ? load5(this.instance.config) : null; + m.gear = this.instance.config.face.enabled && ((_h = this.instance.config.face["gear"]) == null ? void 0 : _h.enabled) && !this.models.gear ? load10(this.instance.config) : null; + m.ssrnetage = this.instance.config.face.enabled && ((_i = this.instance.config.face["ssrnet"]) == null ? void 0 : _i.enabled) && !this.models.ssrnetage ? load11(this.instance.config) : null; + m.ssrnetgender = this.instance.config.face.enabled && ((_j = this.instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) && !this.models.ssrnetgender ? load12(this.instance.config) : null; + m.mobilefacenet = this.instance.config.face.enabled && ((_k = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; + m.insightface = this.instance.config.face.enabled && ((_l = this.instance.config.face["insightface"]) == null ? void 0 : _l.enabled) && !this.models.insightface ? load14(this.instance.config) : null; + m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m = this.instance.config.body.modelPath) == null ? void 0 : _m.includes("blazepose")) ? loadPose(this.instance.config) : null; + m.blazeposedetect = this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body["detector"] && this.instance.config.body["detector"].modelPath ? loadDetect(this.instance.config) : null; + m.efficientpose = this.instance.config.body.enabled && !this.models.efficientpose && ((_n = this.instance.config.body.modelPath) == null ? void 0 : _n.includes("efficientpose")) ? load2(this.instance.config) : null; + m.movenet = this.instance.config.body.enabled && !this.models.movenet && ((_o = this.instance.config.body.modelPath) == null ? void 0 : _o.includes("movenet")) ? load17(this.instance.config) : null; + m.posenet = this.instance.config.body.enabled && !this.models.posenet && ((_p = this.instance.config.body.modelPath) == null ? void 0 : _p.includes("posenet")) ? load19(this.instance.config) : null; + m.handtrack = this.instance.config.hand.enabled && !this.models.handtrack && ((_r = (_q = this.instance.config.hand.detector) == null ? void 0 : _q.modelPath) == null ? void 0 : _r.includes("handtrack")) ? loadDetect2(this.instance.config) : null; + m.handskeleton = this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && ((_t = (_s = this.instance.config.hand.detector) == null ? void 0 : _s.modelPath) == null ? void 0 : _t.includes("handtrack")) ? loadSkeleton(this.instance.config) : null; + if ((_v = (_u = this.instance.config.hand.detector) == null ? void 0 : _u.modelPath) == null ? void 0 : _v.includes("handdetect")) + [m.handpose, m.handskeleton] = !this.models.handpose ? await load15(this.instance.config) : [null, null]; + m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w = this.instance.config.object.modelPath) == null ? void 0 : _w.includes("centernet")) ? load(this.instance.config) : null; + m.nanodet = this.instance.config.object.enabled && !this.models.nanodet && ((_x = this.instance.config.object.modelPath) == null ? void 0 : _x.includes("nanodet")) ? load18(this.instance.config) : null; + m.selfie = this.instance.config.segmentation.enabled && !this.models.selfie && ((_y = this.instance.config.segmentation.modelPath) == null ? void 0 : _y.includes("selfie")) ? load21(this.instance.config) : null; + m.meet = this.instance.config.segmentation.enabled && !this.models.meet && ((_z = this.instance.config.segmentation.modelPath) == null ? void 0 : _z.includes("meet")) ? load16(this.instance.config) : null; + m.rvm = this.instance.config.segmentation.enabled && !this.models.rvm && ((_A = this.instance.config.segmentation.modelPath) == null ? void 0 : _A.includes("rvm")) ? load20(this.instance.config) : null; + for (const [model23, promise] of Object.entries(m)) { + if (promise == null ? void 0 : promise["then"]) + promise["then"]((val) => this.models[model23] = val); + } + await Promise.all(Object.values(m)); + } + list() { + const models3 = Object.keys(this.models).map((model23) => { + var _a; + return { name: model23, loaded: this.models[model23] !== null, size: 0, url: this.models[model23] ? (_a = this.models[model23]) == null ? void 0 : _a["modelUrl"] : null }; + }); + for (const m of models3) { + const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name)); + if (!stats) + continue; + m.size = modelStats[stats].sizeLoadedWeights; + m.url = modelStats[stats].url; + } + return models3; + } + loaded() { + const list = this.list(); + const loaded = list.filter((model23) => model23.loaded).map((model23) => model23.name); + return loaded; + } + validate() { + const missing = []; + for (const defined of Object.keys(this.models)) { + const model23 = this.models[defined]; + if (!model23) + continue; + const res = validateModel(this.instance, model23, defined); + if (res) + missing.push(res); + } + return missing; + } +}; + +// src/util/persons.ts +function join2(faces, bodies, hands, gestures, shape) { + var _a, _b, _c, _d, _e, _f; + let id = 0; + const persons = []; + for (const face4 of faces) { + const person2 = { id: id++, face: face4, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] }; + for (const body4 of bodies) { + if (face4.box[0] > body4.box[0] && face4.box[0] < body4.box[0] + body4.box[2] && face4.box[1] + face4.box[3] > body4.box[1] && face4.box[1] + face4.box[3] < body4.box[1] + body4.box[3]) { + person2.body = body4; + } + } + if (person2.body) { + for (const hand3 of hands) { + if (hand3.box[0] + hand3.box[2] > person2.body.box[0] && hand3.box[0] + hand3.box[2] < person2.body.box[0] + person2.body.box[2] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.left = hand3; + } + if (hand3.box[0] < person2.body.box[0] + person2.body.box[2] && hand3.box[0] > person2.body.box[0] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.right = hand3; + } + } + } + for (const gesture2 of gestures) { + if (gesture2["face"] !== void 0 && gesture2["face"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["iris"] !== void 0 && gesture2["iris"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["body"] !== void 0 && gesture2["body"] === ((_a = person2.body) == null ? void 0 : _a.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b = person2.hands.left) == null ? void 0 : _b.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_c = person2.hands.right) == null ? void 0 : _c.id)) + person2.gestures.push(gesture2); + } + const x = []; + const y = []; + const extractXY = (box) => { + if (box && box.length === 4) { + x.push(box[0], box[0] + box[2]); + y.push(box[1], box[1] + box[3]); + } + }; + extractXY(person2.face.box); + extractXY((_d = person2.body) == null ? void 0 : _d.box); + extractXY((_e = person2.hands.left) == null ? void 0 : _e.box); + extractXY((_f = person2.hands.right) == null ? void 0 : _f.box); + const minX = Math.min(...x); + const minY = Math.min(...y); + person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; + if ((shape == null ? void 0 : shape[1]) && (shape == null ? void 0 : shape[2])) + person2.boxRaw = [person2.box[0] / shape[2], person2.box[1] / shape[1], person2.box[2] / shape[2], person2.box[3] / shape[1]]; + persons.push(person2); + } + return persons; +} + +// src/warmup.ts +var tf37 = __toESM(require_tfjs_esm()); + +// src/sample.ts +var face3 = ` /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob @@ -269,7 +14475,8 @@ PQ4GJ+ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1 8z5mOAOST2pDK91cNN+5tsrH3PrW54a06KxT7fdrlh/q1Pc+tJ6IUdZGvHPLezMcnBOWbsPap5r3 ylFtbdT1xUWNWzU0/Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY -euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,Xt=` +euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`; +var body3 = ` /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAsICAoIBwsKCQoNDAsNERwSEQ8PESIZGhQcKSQrKigk JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX/2wBDAQwNDREPESESEiFFLicuRUVFRUVF RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX/wAARCASwBLADASIA @@ -837,4 +15044,685 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;async function xa(e){let t=(r,s="application/octet-stream")=>fetch(`data:${s};base64,${r}`).then(A=>A.blob()),n,o;switch(e.config.warmup){case"face":n=await t(qt);break;case"body":case"full":n=await t(Xt);break;default:n=null}if(n){let r=await createImageBitmap(n);o=await e.detect(r,e.config),r.close()}return o}async function ya(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+qt;break;case"full":case"body":n="data:image/jpeg;base64,"+Xt;break;default:n=""}let o;if(typeof Image!="undefined")o=new Image;else if(R.Image)o=new R.Image;else{t(void 0);return}o.onload=async()=>{let r=Ae(o.naturalWidth,o.naturalHeight);if(!r)h("Warmup: Canvas not found"),t(void 0);else{let s=r.getContext("2d");s&&s.drawImage(o,0,0);let A=await e.image(r,!0),a=A.tensor?await e.detect(A.tensor,e.config):void 0;t(a)}},n?o.src=n:t(void 0)})}async function fa(e){let t=r=>Buffer.from(r,"base64"),n;e.config.warmup==="face"?n=t(qt):n=t(Xt);let o;if("node"in d0&&d0.getBackend()==="tensorflow"){let r=d0.node.decodeJpeg(n),s=d0.expandDims(r,0);e.tf.dispose(r),o=await e.detect(s,e.config),e.tf.dispose(s)}else e.config.debug&&h("Warmup tfjs-node not loaded");return o}async function ma(e){let t;return typeof createImageBitmap=="function"?t=await xa(e):typeof Image!="undefined"||R.Canvas!==void 0?t=await ya(e):t=await fa(e),t}async function pa(e){var a,l,c,x;if(!d0.env().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=d0.getBackend(),n=d0.backend();if(t!=="webgl"&&t!=="humangl"||!(n!=null&&n.checkCompileCompletion))return;d0.env().set("ENGINE_COMPILE_ONLY",!0);let o=d0.engine().state.numTensors,r=[];for(let[i,f]of Object.entries(e.models.models)){if(!f)continue;let d=f!=null&&f.modelSignature&&((l=(a=f==null?void 0:f.inputs)==null?void 0:a[0])!=null&&l.shape)?[...f.inputs[0].shape]:[1,64,64,3],m=f!=null&&f.modelSignature&&((x=(c=f==null?void 0:f.inputs)==null?void 0:c[0])!=null&&x.dtype)?f.inputs[0].dtype:"float32";for(let u=0;ud0.dispose(T)):d0.dispose(u)}catch(u){e.config.debug&&h("compile fail model:",i)}d0.dispose(y)}let s=await n.checkCompileCompletionAsync();n.getUniformLocations(),e.config.debug&&h("compile pass:",{models:r,kernels:s.length}),d0.env().set("ENGINE_COMPILE_ONLY",!1);let A=d0.engine().state.numTensors;A-o>0&&h("tensor leak:",A-o)}async function Wo(e,t){await O2(e,!1);let n=v();return e.state="warmup",t&&(e.config=a0(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?Te():new Promise(async o=>{await e.models.load(),await pa(e);let r=await ma(e),s=v();e.config.debug&&h("warmup",e.config.warmup,Math.round(s-n),"ms"),e.emit("warmup"),o(r)})}var P2,Z2,q2,Ut,Ye,w1=class{constructor(t){w(this,"version");w(this,"config");w(this,"result");w(this,"state");w(this,"process");w(this,"tf");w(this,"env",R);w(this,"draw",rt);w(this,"match",Wt);w(this,"models");w(this,"events");w(this,"faceTriangulation");w(this,"faceUVMap");w(this,"performance");ue(this,P2,void 0);ue(this,Z2,void 0);ue(this,q2,void 0);w(this,"analyze",(...t)=>{if(!Y0(this,Z2))return;let n=this.tf.engine().state.numTensors,o=Y0(this,P2);Re(this,P2,n);let r=n-o;r!==0&&h(...t,r)});ue(this,Ut,t=>{if(!Y0(this,q2))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof de.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});w(this,"webcam",new Q2);w(this,"emit",t=>{var n;(n=this.events)!=null&&n.dispatchEvent&&this.events.dispatchEvent(new Event(t))});ue(this,Ye,{});let n=(de.version.tfjs||de.version_core).replace(/-(.*)/,"");Ke.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${n}/dist/`,Ke.modelBasePath=R.browser?"../models/":"file://models/",this.version=n5,Object.defineProperty(this,"version",{value:n5}),this.config=JSON.parse(JSON.stringify(Ke)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=a0(this.config,t)),q1(this.config),this.tf=de,this.state="idle",Re(this,P2,0),Re(this,Z2,!1),Re(this,q2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new V2(this),l5(),this.result=Te(),this.process={tensor:null,canvas:null},this.faceTriangulation=D3,this.faceUVMap=F3,Zt(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&h(`version: ${this.version}`),this.config.debug&&h(`tfjs version: ${this.tf.version["tfjs-core"]}`);let o=JSON.parse(JSON.stringify(this.env));delete o.kernels,delete o.initial,delete o.perfadd,this.config.debug&&h("environment:",o)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(Ke)),this.config.backend=t,e5(),R.initial=!0}validate(t){let n=Qt(Ke,t||this.config);return n.length===0&&(this.config=a0(this.config,t)),n}now(){return v()}image(t,n=!1){return K2(t,this.config,n)}async segmentation(t,n){var s,A,a;if(n&&(this.config=a0(this.config,n)),!this.config.segmentation.enabled)return null;let o=await K2(t,this.config);if(!o.tensor)return null;let r=null;return(s=this.config.segmentation.modelPath)!=null&&s.includes("rvm")&&(r=await Io(o.tensor,this.config)),(A=this.config.segmentation.modelPath)!=null&&A.includes("meet")&&(r=await lo(o.tensor,this.config)),(a=this.config.segmentation.modelPath)!=null&&a.includes("selfie")&&(r=await Oo(o.tensor,this.config)),de.dispose(o.tensor),r}compare(t,n){return Z1(this.config,t,n)}async init(){await O2(this,!0),await this.tf.ready(),e5()}async load(t){this.state="load";let n=v(),o=Object.values(this.models.models).filter(A=>A).length;t&&(this.config=a0(this.config,t)),this.env.initial&&(await O2(this,!1)||h("error: backend check failed"),await de.ready(),this.env.browser&&(this.config.debug&&h("configuration:",this.config),this.config.debug&&h("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&h("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(A=>A).length!==o&&(this.models.validate(),this.emit("load"));let s=Math.trunc(v()-n);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return io(t,this.config)}async warmup(t){let n=v(),o=await Wo(this,t),r=v();return this.performance.warmup=Math.trunc(r-n),o}async profile(t,n){let o=await this.tf.profile(()=>this.detect(t,n)),r={},s=0;for(let a of o.kernels){let l=Number(a.kernelTimeMs)||0;r[a.name]?r[a.name]+=l:r[a.name]=l,s+=l}let A=[];Object.entries(r).forEach(a=>A.push({kernel:a[0],time:a[1],perc:0}));for(let a of A)a.perc=Math.round(1e3*a.time/s)/1e3,a.time=Math.round(1e3*a.time)/1e3;return A.sort((a,l)=>l.time-a.time),A.length=20,A}async detect(t,n){return this.state="detect",new Promise(async o=>{var u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;this.state="config";let r;this.config=a0(this.config,n),this.state="check";let s=Y0(this,Ut).call(this,t);s&&(h(s,t),this.emit("error"),o(Te(s)));let A=v();await this.load(),r=v(),this.state="image";let a=await K2(t,this.config);if(this.process=a,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Get Image:"),!a.tensor){this.config.debug&&h("could not convert input to tensor"),this.emit("error"),o(Te("could not convert input to tensor"));return}this.emit("image"),r=v(),this.config.skipAllowed=await V1(this.config,a.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Check Changed:");let l=[],c=[],x=[],i=[];this.state="detect:face",this.config.async?(l=this.config.face.enabled?Q5(this,a.tensor):[],this.performance.face&&delete this.performance.face):(r=v(),l=this.config.face.enabled?await Q5(this,a.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(l=await l),this.analyze("Start Body:"),this.state="detect:body";let f=this.config.body.maxDetected===-1?a0(this.config,{body:{maxDetected:this.config.face.enabled?1*l.length:1}}):this.config;this.config.async?((u=this.config.body.modelPath)!=null&&u.includes("posenet")?c=this.config.body.enabled?T1(a.tensor,f):[]:(T=this.config.body.modelPath)!=null&&T.includes("blazepose")?c=this.config.body.enabled?f5(a.tensor,f):[]:(g=this.config.body.modelPath)!=null&&g.includes("efficientpose")?c=this.config.body.enabled?T5(a.tensor,f):[]:(p=this.config.body.modelPath)!=null&&p.includes("movenet")&&(c=this.config.body.enabled?f1(a.tensor,f):[]),this.performance.body&&delete this.performance.body):(r=v(),(b=this.config.body.modelPath)!=null&&b.includes("posenet")?c=this.config.body.enabled?await T1(a.tensor,f):[]:(k=this.config.body.modelPath)!=null&&k.includes("blazepose")?c=this.config.body.enabled?await f5(a.tensor,f):[]:(P=this.config.body.modelPath)!=null&&P.includes("efficientpose")?c=this.config.body.enabled?await T5(a.tensor,f):[]:(N=this.config.body.modelPath)!=null&&N.includes("movenet")&&(c=this.config.body.enabled?await f1(a.tensor,f):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let d=this.config.hand.maxDetected===-1?a0(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?((_=(V=this.config.hand.detector)==null?void 0:V.modelPath)!=null&&_.includes("handdetect")?x=this.config.hand.enabled?n1(a.tensor,d):[]:($=(Z=this.config.hand.detector)==null?void 0:Z.modelPath)!=null&&$.includes("handtrack")&&(x=this.config.hand.enabled?s1(a.tensor,d):[]),this.performance.hand&&delete this.performance.hand):(r=v(),(n0=(A0=this.config.hand.detector)==null?void 0:A0.modelPath)!=null&&n0.includes("handdetect")?x=this.config.hand.enabled?await n1(a.tensor,d):[]:(j0=(t0=this.config.hand.detector)==null?void 0:t0.modelPath)!=null&&j0.includes("handtrack")&&(x=this.config.hand.enabled?await s1(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((M=this.config.object.modelPath)!=null&&M.includes("nanodet")?i=this.config.object.enabled?p1(a.tensor,this.config):[]:(T0=this.config.object.modelPath)!=null&&T0.includes("centernet")&&(i=this.config.object.enabled?u5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=v(),(C0=this.config.object.modelPath)!=null&&C0.includes("nanodet")?i=this.config.object.enabled?await p1(a.tensor,this.config):[]:(x0=this.config.object.modelPath)!=null&&x0.includes("centernet")&&(i=this.config.object.enabled?await u5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let m=[];this.config.gesture.enabled&&(r=v(),m=[...Wn(l),...Cn(c),...Fn(x),...Dn(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(v()-A):Math.trunc(v()-A);let y=((K=this.process.tensor)==null?void 0:K.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:m,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:y[2],height:y[1],get persons(){return Co(l,c,x,m,y)}},de.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(Y0(this,Ye)[t.id]||(this.config.debug&&h("video start",t.id),Y0(this,Ye)[t.id]=!0),!t.paused&&Y0(this,Ye)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),Y0(this,Ye)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&h("video stop",t.id),Y0(this,Ye)[t.id]=!1)}};P2=new WeakMap,Z2=new WeakMap,q2=new WeakMap,Ut=new WeakMap,Ye=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models}); +2Q==`; + +// src/warmup.ts +async function warmupBitmap(instance) { + const b64toBlob = (base64, type = "application/octet-stream") => fetch(`data:${type};base64,${base64}`).then((res2) => res2.blob()); + let blob; + let res; + switch (instance.config.warmup) { + case "face": + blob = await b64toBlob(face3); + break; + case "body": + case "full": + blob = await b64toBlob(body3); + break; + default: + blob = null; + } + if (blob) { + const bitmap = await createImageBitmap(blob); + res = await instance.detect(bitmap, instance.config); + bitmap.close(); + } + return res; +} +async function warmupCanvas(instance) { + return new Promise((resolve) => { + let src; + switch (instance.config.warmup) { + case "face": + src = "data:image/jpeg;base64," + face3; + break; + case "full": + case "body": + src = "data:image/jpeg;base64," + body3; + break; + default: + src = ""; + } + let img; + if (typeof Image !== "undefined") + img = new Image(); + else if (env.Image) + img = new env.Image(); + else { + resolve(void 0); + return; + } + img.onload = async () => { + const canvas3 = canvas(img.naturalWidth, img.naturalHeight); + if (!canvas3) { + log("Warmup: Canvas not found"); + resolve(void 0); + } else { + const ctx = canvas3.getContext("2d"); + if (ctx) + ctx.drawImage(img, 0, 0); + const tensor6 = await instance.image(canvas3, true); + const res = tensor6.tensor ? await instance.detect(tensor6.tensor, instance.config) : void 0; + resolve(res); + } + }; + if (src) + img.src = src; + else + resolve(void 0); + }); +} +async function warmupNode(instance) { + const atob = (str) => Buffer.from(str, "base64"); + let img; + if (instance.config.warmup === "face") + img = atob(face3); + else + img = atob(body3); + let res; + if ("node" in tf37 && tf37.getBackend() === "tensorflow") { + const data = tf37["node"].decodeJpeg(img); + const expanded = tf37.expandDims(data, 0); + instance.tf.dispose(data); + res = await instance.detect(expanded, instance.config); + instance.tf.dispose(expanded); + } else { + if (instance.config.debug) + log("Warmup tfjs-node not loaded"); + } + return res; +} +async function runInference(instance) { + let res; + if (typeof createImageBitmap === "function") + res = await warmupBitmap(instance); + else if (typeof Image !== "undefined" || env.Canvas !== void 0) + res = await warmupCanvas(instance); + else + res = await warmupNode(instance); + return res; +} +async function runCompile(instance) { + var _a, _b, _c, _d; + if (!tf37.env().flagRegistry.ENGINE_COMPILE_ONLY) + return; + const backendType = tf37.getBackend(); + const webGLBackend = tf37.backend(); + if (backendType !== "webgl" && backendType !== "humangl" || !(webGLBackend == null ? void 0 : webGLBackend["checkCompileCompletion"])) { + return; + } + tf37.env().set("ENGINE_COMPILE_ONLY", true); + const numTensorsStart = tf37.engine().state.numTensors; + const compiledModels = []; + for (const [modelName, model23] of Object.entries(instance.models.models)) { + if (!model23) + continue; + const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b = (_a = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a[0]) == null ? void 0 : _b.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; + const dtype = (model23 == null ? void 0 : model23.modelSignature) && ((_d = (_c = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _c[0]) == null ? void 0 : _d.dtype) ? model23.inputs[0].dtype : "float32"; + for (let dim = 0; dim < shape.length; dim++) { + if (shape[dim] === -1) + shape[dim] = dim === 0 ? 1 : 64; + } + const tensor6 = tf37.zeros(shape, dtype); + try { + const res = model23.execute(tensor6); + compiledModels.push(modelName); + if (Array.isArray(res)) + res.forEach((t2) => tf37.dispose(t2)); + else + tf37.dispose(res); + } catch (e) { + if (instance.config.debug) + log("compile fail model:", modelName); + } + tf37.dispose(tensor6); + } + const kernels = await webGLBackend["checkCompileCompletionAsync"](); + webGLBackend["getUniformLocations"](); + if (instance.config.debug) + log("compile pass:", { models: compiledModels, kernels: kernels.length }); + tf37.env().set("ENGINE_COMPILE_ONLY", false); + const numTensorsEnd = tf37.engine().state.numTensors; + if (numTensorsEnd - numTensorsStart > 0) + log("tensor leak:", numTensorsEnd - numTensorsStart); +} +async function warmup(instance, userConfig) { + await check(instance, false); + const t0 = now(); + instance.state = "warmup"; + if (userConfig) + instance.config = mergeDeep(instance.config, userConfig); + if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === "none") { + return empty(); + } + return new Promise(async (resolve) => { + await instance.models.load(); + await runCompile(instance); + const res = await runInference(instance); + const t1 = now(); + if (instance.config.debug) + log("warmup", instance.config.warmup, Math.round(t1 - t0), "ms"); + instance.emit("warmup"); + resolve(res); + }); +} + +// src/human.ts +var _numTensors, _analyzeMemoryLeaks, _checkSanity, _sanity, _loops; +var Human = class { + // definition end + /** Constructor for **Human** library that is futher used for all operations + * @param userConfig - user configuration object {@link Config} + */ + constructor(userConfig) { + /** Current version of Human library in *semver* format */ + __publicField(this, "version"); + /** Current configuration + * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) + */ + __publicField(this, "config"); + /** Last known result of detect run + * - Can be accessed anytime after initial detection + */ + __publicField(this, "result"); + /** Current state of Human library + * - Can be polled to determine operations that are currently executed + * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle' + */ + __publicField(this, "state"); + /** currenty processed image tensor and canvas */ + __publicField(this, "process"); + /** Instance of TensorFlow/JS used by Human + * - Can be embedded or externally provided + * [TFJS API](https://js.tensorflow.org/api/latest/) + */ + __publicField(this, "tf"); + /** Object containing environment information used for diagnostics */ + __publicField(this, "env", env); + /** Draw helper classes that can draw detected objects on canvas using specified draw + * - canvas: draws input to canvas + * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions} + * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas + */ + // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions }; + __publicField(this, "draw", draw_exports); + /** Face Matching + * - similarity: compare two face descriptors and return similarity index + * - distance: compare two face descriptors and return raw calculated differences + * - find: compare face descriptor to array of face descriptors and return best match + */ + __publicField(this, "match", match_exports); + /** Currently loaded models + * @internal + * {@link models#Models} + */ + __publicField(this, "models"); + /** Container for events dispatched by Human + * Possible events: + * - `create`: triggered when Human object is instantiated + * - `load`: triggered when models are loaded (explicitly or on-demand) + * - `image`: triggered when input image is processed + * - `result`: triggered when detection is complete + * - `warmup`: triggered when warmup is complete + * - `error`: triggered on some errors + */ + __publicField(this, "events"); + /** Reference face triangualtion array of 468 points, used for triangle references between points */ + __publicField(this, "faceTriangulation"); + /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */ + __publicField(this, "faceUVMap"); + /** Performance object that contains values for all recently performed operations */ + __publicField(this, "performance"); + // perf members are dynamically defined as needed + __privateAdd(this, _numTensors, void 0); + __privateAdd(this, _analyzeMemoryLeaks, void 0); + __privateAdd(this, _checkSanity, void 0); + /** internal function to measure tensor leaks */ + __publicField(this, "analyze", (...msg) => { + if (!__privateGet(this, _analyzeMemoryLeaks)) + return; + const currentTensors = this.tf.engine().state.numTensors; + const previousTensors = __privateGet(this, _numTensors); + __privateSet(this, _numTensors, currentTensors); + const leaked = currentTensors - previousTensors; + if (leaked !== 0) + log(...msg, leaked); + }); + /** internal function for quick sanity check on inputs @hidden */ + __privateAdd(this, _sanity, (input) => { + if (!__privateGet(this, _checkSanity)) + return null; + if (!input) + return "input is not defined"; + if (this.env.node && !(input instanceof tf38.Tensor)) + return "input must be a tensor"; + try { + this.tf.getBackend(); + } catch (e) { + return "backend not loaded"; + } + return null; + }); + /** WebCam helper methods + * + */ + __publicField(this, "webcam", new WebCam()); + /** emit event */ + __publicField(this, "emit", (event) => { + var _a; + if ((_a = this.events) == null ? void 0 : _a.dispatchEvent) + this.events.dispatchEvent(new Event(event)); + }); + /** internal structure that keeps track of processed videos @hidden */ + __privateAdd(this, _loops, {}); + const tfVersion = (tf38.version.tfjs || tf38.version_core).replace(/-(.*)/, ""); + config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`; + config.modelBasePath = env.browser ? "../models/" : "file://models/"; + this.version = version2; + Object.defineProperty(this, "version", { value: version2 }); + this.config = JSON.parse(JSON.stringify(config)); + Object.seal(this.config); + this.config.cacheModels = typeof indexedDB !== "undefined"; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + setModelLoadOptions(this.config); + this.tf = tf38; + this.state = "idle"; + __privateSet(this, _numTensors, 0); + __privateSet(this, _analyzeMemoryLeaks, false); + __privateSet(this, _checkSanity, false); + this.performance = {}; + this.events = typeof EventTarget !== "undefined" ? new EventTarget() : void 0; + this.models = new Models(this); + init2(); + this.result = empty(); + this.process = { tensor: null, canvas: null }; + this.faceTriangulation = triangulation; + this.faceUVMap = uvmap; + validateModel(this, null, ""); + this.emit("create"); + if (this.config.debug || this.env.browser) + log(`version: ${this.version}`); + if (this.config.debug) + log(`tfjs version: ${this.tf.version["tfjs-core"]}`); + const envTemp = JSON.parse(JSON.stringify(this.env)); + delete envTemp.kernels; + delete envTemp.initial; + delete envTemp.perfadd; + if (this.config.debug) + log("environment:", envTemp); + } + /** Reset configuration to default values */ + reset() { + const currentBackend = this.config.backend; + this.config = JSON.parse(JSON.stringify(config)); + this.config.backend = currentBackend; + reset(); + env.initial = true; + } + /** Validate current configuration schema */ + validate(userConfig) { + const msgs = validate(config, userConfig || this.config); + if (msgs.length === 0) + this.config = mergeDeep(this.config, userConfig); + return msgs; + } + /** Utility wrapper for performance.now() */ + now() { + return now(); + } + /** Process input as return canvas and tensor + * + * @param input - any input {@link Input} + * @param getTensor - should image processing also return tensor or just canvas + * Returns object with `tensor` and `canvas` + */ + image(input, getTensor = false) { + return process2(input, this.config, getTensor); + } + /** Segmentation method takes any input and returns RGBA tensor + * Note: Segmentation is not triggered as part of detect process + * + * @param input - {@link Input} + * Returns tensor which contains image data in RGBA format + */ + async segmentation(input, userConfig) { + var _a, _b, _c; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (!this.config.segmentation.enabled) + return null; + const processed = await process2(input, this.config); + if (!processed.tensor) + return null; + let tensor6 = null; + if ((_a = this.config.segmentation.modelPath) == null ? void 0 : _a.includes("rvm")) + tensor6 = await predict20(processed.tensor, this.config); + if ((_b = this.config.segmentation.modelPath) == null ? void 0 : _b.includes("meet")) + tensor6 = await predict16(processed.tensor, this.config); + if ((_c = this.config.segmentation.modelPath) == null ? void 0 : _c.includes("selfie")) + tensor6 = await predict21(processed.tensor, this.config); + tf38.dispose(processed.tensor); + return tensor6; + } + /** Compare two input tensors for pixel similarity + * - use `human.image` to process any valid input and get a tensor that can be used for compare + * - when passing manually generated tensors: + * - both input tensors must be in format [1, height, width, 3] + * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor + * - return value is pixel similarity score normalized by input resolution and rgb channels + */ + compare(firstImageTensor, secondImageTensor) { + return compare(this.config, firstImageTensor, secondImageTensor); + } + /** Explicit backend initialization + * - Normally done implicitly during initial load phase + * - Call to explictly register and initialize TFJS backend without any other operations + * - Use when changing backend during runtime + */ + async init() { + await check(this, true); + await this.tf.ready(); + reset(); + } + /** Load method preloads all configured models on-demand + * - Not explicitly required as any required model is load implicitly on it's first run + * + * @param userConfig - {@link Config} + */ + async load(userConfig) { + this.state = "load"; + const timeStamp = now(); + const count2 = Object.values(this.models.models).filter((model23) => model23).length; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (this.env.initial) { + if (!await check(this, false)) + log("error: backend check failed"); + await tf38.ready(); + if (this.env.browser) { + if (this.config.debug) + log("configuration:", this.config); + if (this.config.debug) + log("tf flags:", this.tf.ENV.flags); + } + } + await this.models.load(this); + if (this.env.initial && this.config.debug) + log("tf engine state:", this.tf.engine().state.numBytes, "bytes", this.tf.engine().state.numTensors, "tensors"); + this.env.initial = false; + const loaded = Object.values(this.models.models).filter((model23) => model23).length; + if (loaded !== count2) { + this.models.validate(); + this.emit("load"); + } + const current = Math.trunc(now() - timeStamp); + if (current > (this.performance.loadModels || 0)) + this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current; + } + /** Runs interpolation using last known result and returns smoothened result + * Interpolation is based on time since last known result so can be called independently + * + * @param result - {@link Result} optional use specific result set to run interpolation on + * @returns result - {@link Result} + */ + next(result = this.result) { + return calc2(result, this.config); + } + /** Warmup method pre-initializes all configured models for faster inference + * - can take significant time on startup + * - only used for `webgl` and `humangl` backends + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async warmup(userConfig) { + const t0 = now(); + const res = await warmup(this, userConfig); + const t1 = now(); + this.performance.warmup = Math.trunc(t1 - t0); + return res; + } + /** Run detect with tensorflow profiling + * - result object will contain total exeuction time information for top-20 kernels + * - actual detection object can be accessed via `human.result` + */ + async profile(input, userConfig) { + const profile = await this.tf.profile(() => this.detect(input, userConfig)); + const kernels = {}; + let total = 0; + for (const kernel of profile.kernels) { + const ms = Number(kernel.kernelTimeMs) || 0; + if (kernels[kernel.name]) + kernels[kernel.name] += ms; + else + kernels[kernel.name] = ms; + total += ms; + } + const kernelArr = []; + Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1], perc: 0 })); + for (const kernel of kernelArr) { + kernel.perc = Math.round(1e3 * kernel.time / total) / 1e3; + kernel.time = Math.round(1e3 * kernel.time) / 1e3; + } + kernelArr.sort((a, b) => b.time - a.time); + kernelArr.length = 20; + return kernelArr; + } + /** Main detection method + * - Analyze configuration: {@link Config} + * - Pre-process input: {@link Input} + * - Run inference for all configured models + * - Process and return result: {@link Result} + * + * @param input - {@link Input} + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async detect(input, userConfig) { + this.state = "detect"; + return new Promise(async (resolve) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u; + this.state = "config"; + let timeStamp; + this.config = mergeDeep(this.config, userConfig); + this.state = "check"; + const error = __privateGet(this, _sanity).call(this, input); + if (error) { + log(error, input); + this.emit("error"); + resolve(empty(error)); + } + const timeStart = now(); + await this.load(); + timeStamp = now(); + this.state = "image"; + const img = await process2(input, this.config); + this.process = img; + this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Get Image:"); + if (!img.tensor) { + if (this.config.debug) + log("could not convert input to tensor"); + this.emit("error"); + resolve(empty("could not convert input to tensor")); + return; + } + this.emit("image"); + timeStamp = now(); + this.config.skipAllowed = await skip(this.config, img.tensor); + this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; + if (!this.performance.totalFrames) + this.performance.totalFrames = 0; + if (!this.performance.cachedFrames) + this.performance.cachedFrames = 0; + this.performance.totalFrames++; + if (this.config.skipAllowed) + this.performance.cachedFrames++; + this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Check Changed:"); + let faceRes = []; + let bodyRes = []; + let handRes = []; + let objectRes = []; + this.state = "detect:face"; + if (this.config.async) { + faceRes = this.config.face.enabled ? detectFace(this, img.tensor) : []; + if (this.performance.face) + delete this.performance.face; + } else { + timeStamp = now(); + faceRes = this.config.face.enabled ? await detectFace(this, img.tensor) : []; + this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) + faceRes = await faceRes; + this.analyze("Start Body:"); + this.state = "detect:body"; + const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_a = this.config.body.modelPath) == null ? void 0 : _a.includes("posenet")) + bodyRes = this.config.body.enabled ? predict19(img.tensor, bodyConfig) : []; + else if ((_b = this.config.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + bodyRes = this.config.body.enabled ? predict(img.tensor, bodyConfig) : []; + else if ((_c = this.config.body.modelPath) == null ? void 0 : _c.includes("efficientpose")) + bodyRes = this.config.body.enabled ? predict3(img.tensor, bodyConfig) : []; + else if ((_d = this.config.body.modelPath) == null ? void 0 : _d.includes("movenet")) + bodyRes = this.config.body.enabled ? predict17(img.tensor, bodyConfig) : []; + if (this.performance.body) + delete this.performance.body; + } else { + timeStamp = now(); + if ((_e = this.config.body.modelPath) == null ? void 0 : _e.includes("posenet")) + bodyRes = this.config.body.enabled ? await predict19(img.tensor, bodyConfig) : []; + else if ((_f = this.config.body.modelPath) == null ? void 0 : _f.includes("blazepose")) + bodyRes = this.config.body.enabled ? await predict(img.tensor, bodyConfig) : []; + else if ((_g = this.config.body.modelPath) == null ? void 0 : _g.includes("efficientpose")) + bodyRes = this.config.body.enabled ? await predict3(img.tensor, bodyConfig) : []; + else if ((_h = this.config.body.modelPath) == null ? void 0 : _h.includes("movenet")) + bodyRes = this.config.body.enabled ? await predict17(img.tensor, bodyConfig) : []; + this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Body:"); + this.analyze("Start Hand:"); + this.state = "detect:hand"; + const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_j = (_i = this.config.hand.detector) == null ? void 0 : _i.modelPath) == null ? void 0 : _j.includes("handdetect")) + handRes = this.config.hand.enabled ? predict14(img.tensor, handConfig) : []; + else if ((_l = (_k = this.config.hand.detector) == null ? void 0 : _k.modelPath) == null ? void 0 : _l.includes("handtrack")) + handRes = this.config.hand.enabled ? predict15(img.tensor, handConfig) : []; + if (this.performance.hand) + delete this.performance.hand; + } else { + timeStamp = now(); + if ((_n = (_m = this.config.hand.detector) == null ? void 0 : _m.modelPath) == null ? void 0 : _n.includes("handdetect")) + handRes = this.config.hand.enabled ? await predict14(img.tensor, handConfig) : []; + else if ((_p = (_o = this.config.hand.detector) == null ? void 0 : _o.modelPath) == null ? void 0 : _p.includes("handtrack")) + handRes = this.config.hand.enabled ? await predict15(img.tensor, handConfig) : []; + this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Hand:"); + this.analyze("Start Object:"); + this.state = "detect:object"; + if (this.config.async) { + if ((_q = this.config.object.modelPath) == null ? void 0 : _q.includes("nanodet")) + objectRes = this.config.object.enabled ? predict18(img.tensor, this.config) : []; + else if ((_r = this.config.object.modelPath) == null ? void 0 : _r.includes("centernet")) + objectRes = this.config.object.enabled ? predict2(img.tensor, this.config) : []; + if (this.performance.object) + delete this.performance.object; + } else { + timeStamp = now(); + if ((_s = this.config.object.modelPath) == null ? void 0 : _s.includes("nanodet")) + objectRes = this.config.object.enabled ? await predict18(img.tensor, this.config) : []; + else if ((_t = this.config.object.modelPath) == null ? void 0 : _t.includes("centernet")) + objectRes = this.config.object.enabled ? await predict2(img.tensor, this.config) : []; + this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Object:"); + this.state = "detect:await"; + if (this.config.async) + [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]); + this.state = "detect:gesture"; + let gestureRes = []; + if (this.config.gesture.enabled) { + timeStamp = now(); + gestureRes = [...face2(faceRes), ...body2(bodyRes), ...hand2(handRes), ...iris2(faceRes)]; + if (!this.config.async) + this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + else if (this.performance.gesture) + delete this.performance.gesture; + } + this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart); + const shape = ((_u = this.process.tensor) == null ? void 0 : _u.shape) || [0, 0, 0, 0]; + this.result = { + face: faceRes, + body: bodyRes, + hand: handRes, + gesture: gestureRes, + object: objectRes, + performance: this.performance, + canvas: this.process.canvas, + timestamp: Date.now(), + error: null, + width: shape[2], + height: shape[1], + get persons() { + return join2(faceRes, bodyRes, handRes, gestureRes, shape); + } + }; + tf38.dispose(img.tensor); + this.emit("detect"); + this.state = "idle"; + resolve(this.result); + }); + } + /** Helper function + * @param ms - sleep time in miliseconds + */ + async sleep(ms) { + return new Promise((resolve) => { + setTimeout(resolve, ms); + }); + } + /** Continously detect video frames + * @param element - HTMLVideoElement input + * @param run - boolean run continously or stop if already running, default true + * @param delay - number delay detection between frames for number of miliseconds, default 0 + */ + async video(element, run = true, delay = 0) { + if (run) { + if (!__privateGet(this, _loops)[element.id]) { + if (this.config.debug) + log("video start", element.id); + __privateGet(this, _loops)[element.id] = true; + } + if (!element.paused && __privateGet(this, _loops)[element.id] && element.readyState >= 2) + await this.detect(element); + if (delay > 0) + await this.sleep(delay); + if (__privateGet(this, _loops)[element.id]) + requestAnimationFrame(() => this.video(element, run, delay)); + } else { + if (this.config.debug) + log("video stop", element.id); + __privateGet(this, _loops)[element.id] = false; + } + } +}; +_numTensors = new WeakMap(); +_analyzeMemoryLeaks = new WeakMap(); +_checkSanity = new WeakMap(); +_sanity = new WeakMap(); +_loops = new WeakMap(); +// Annotate the CommonJS export names for ESM import in node: +0 && (module.exports = { + Env, + Human, + defaults, + draw, + empty, + env, + match, + models +}); diff --git a/dist/human.node.js b/dist/human.node.js index c3325ca7..bf972f11 100644 --- a/dist/human.node.js +++ b/dist/human.node.js @@ -4,7 +4,323 @@ author: ' */ -"use strict";var Wo=Object.create;var w2=Object.defineProperty;var Do=Object.getOwnPropertyDescriptor;var Fo=Object.getOwnPropertyNames;var Bo=Object.getPrototypeOf,Ho=Object.prototype.hasOwnProperty;var Go=(e,t,n)=>t in e?w2(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var Vo=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),ze=(e,t)=>{for(var n in t)w2(e,n,{get:t[n],enumerable:!0})},j1=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of Fo(t))!Ho.call(e,r)&&r!==n&&w2(e,r,{get:()=>t[r],enumerable:!(o=Do(t,r))||o.enumerable});return e};var G=(e,t,n)=>(n=e!=null?Wo(Bo(e)):{},j1(t||!e||!e.__esModule?w2(n,"default",{value:e,enumerable:!0}):n,e)),Zo=e=>j1(w2({},"__esModule",{value:!0}),e);var w=(e,t,n)=>(Go(e,typeof t!="symbol"?t+"":t,n),n),I1=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var Y0=(e,t,n)=>(I1(e,t,"read from private field"),n?n.call(e):t.get(e)),ue=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Re=(e,t,n,o)=>(I1(e,t,"write to private field"),o?o.call(e,n):t.set(e,n),n);var H=Vo((ga,Kt)=>{"use strict";var Ut=Object.defineProperty,Xo=Object.getOwnPropertyDescriptor,qo=Object.getOwnPropertyNames,Uo=Object.prototype.hasOwnProperty,Yo=(e,t)=>{for(var n in t)Ut(e,n,{get:t[n],enumerable:!0})},qt=(e,t,n,o)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of qo(t))!Uo.call(e,r)&&r!==n&&Ut(e,r,{get:()=>t[r],enumerable:!(o=Xo(t,r))||o.enumerable});return e},Ko=(e,t,n)=>(qt(e,t,"default"),n&&qt(n,t,"default")),Jo=e=>qt(Ut({},"__esModule",{value:!0}),e),Yt={};Yo(Yt,{version:()=>nr});Kt.exports=Jo(Yt);Ko(Yt,require("@tensorflow/tfjs-node"),Kt.exports);var N1="4.2.0",Qo="4.2.0",_o="4.2.0",$o="4.2.0",er="4.2.0",tr="0.0.1-alpha.17",nr={tfjs:N1,"tfjs-core":N1,"tfjs-converter":Qo,"tfjs-backend-cpu":_o,"tfjs-backend-webgl":$o,"tfjs-backend-wasm":er,"tfjs-backend-webgpu":tr}});var ha={};ze(ha,{Env:()=>E2,Human:()=>k1,default:()=>k1,defaults:()=>Ke,draw:()=>nt,empty:()=>Te,env:()=>R,match:()=>Ot,models:()=>P1});module.exports=Zo(ha);var de=G(H());function h(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function L1(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Jt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Jt(e[r],t[r],r,o);else{let s=e&&typeof e[r]!="undefined";s||o.push({reason:"unknown property",where:`${n}.${r} = ${t[r]}`});let A=e&&typeof e[r]==typeof t[r];s&&!A&&o.push({reason:"property type mismatch",where:`${n}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&n==="config"&&o.length>0&&h("invalid configuration",o),o}function a0(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(r=>{let s=n[r],A=o[r];Array.isArray(s)&&Array.isArray(A)?n[r]=s.concat(...A):t(s)&&t(A)?n[r]=a0(s,A):n[r]=A}),n),{})}var Ke={backend:"",modelBasePath:"",cacheModels:!0,validateModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!1,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,flags:{},softwareKernels:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,autoBrightness:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!1,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,minSize:0,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-lite.json"}},object:{enabled:!1,modelPath:"centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"rvm.json",ratio:.5,mode:"default"}};var W0=G(H());var I=G(H());var O1=` +"use strict"; +var __create = Object.create; +var __defProp = Object.defineProperty; +var __getOwnPropDesc = Object.getOwnPropertyDescriptor; +var __getOwnPropNames = Object.getOwnPropertyNames; +var __getProtoOf = Object.getPrototypeOf; +var __hasOwnProp = Object.prototype.hasOwnProperty; +var __defNormalProp = (obj, key, value) => key in obj ? __defProp(obj, key, { enumerable: true, configurable: true, writable: true, value }) : obj[key] = value; +var __commonJS = (cb, mod3) => function __require() { + return mod3 || (0, cb[__getOwnPropNames(cb)[0]])((mod3 = { exports: {} }).exports, mod3), mod3.exports; +}; +var __export = (target, all2) => { + for (var name in all2) + __defProp(target, name, { get: all2[name], enumerable: true }); +}; +var __copyProps = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames(from)) + if (!__hasOwnProp.call(to, key) && key !== except) + __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); + } + return to; +}; +var __toESM = (mod3, isNodeMode, target) => (target = mod3 != null ? __create(__getProtoOf(mod3)) : {}, __copyProps( + // If the importer is in node compatibility mode or this is not an ESM + // file that has been converted to a CommonJS file using a Babel- + // compatible transform (i.e. "__esModule" has not been set), then set + // "default" to the CommonJS "module.exports" for node compatibility. + isNodeMode || !mod3 || !mod3.__esModule ? __defProp(target, "default", { value: mod3, enumerable: true }) : target, + mod3 +)); +var __toCommonJS = (mod3) => __copyProps(__defProp({}, "__esModule", { value: true }), mod3); +var __publicField = (obj, key, value) => { + __defNormalProp(obj, typeof key !== "symbol" ? key + "" : key, value); + return value; +}; +var __accessCheck = (obj, member, msg) => { + if (!member.has(obj)) + throw TypeError("Cannot " + msg); +}; +var __privateGet = (obj, member, getter) => { + __accessCheck(obj, member, "read from private field"); + return getter ? getter.call(obj) : member.get(obj); +}; +var __privateAdd = (obj, member, value) => { + if (member.has(obj)) + throw TypeError("Cannot add the same private member more than once"); + member instanceof WeakSet ? member.add(obj) : member.set(obj, value); +}; +var __privateSet = (obj, member, value, setter) => { + __accessCheck(obj, member, "write to private field"); + setter ? setter.call(obj, value) : member.set(obj, value); + return value; +}; + +// dist/tfjs.esm.js +var require_tfjs_esm = __commonJS({ + "dist/tfjs.esm.js"(exports, module2) { + "use strict"; + var __defProp2 = Object.defineProperty; + var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; + var __getOwnPropNames2 = Object.getOwnPropertyNames; + var __hasOwnProp2 = Object.prototype.hasOwnProperty; + var __export2 = (target, all2) => { + for (var name in all2) + __defProp2(target, name, { get: all2[name], enumerable: true }); + }; + var __copyProps2 = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames2(from)) + if (!__hasOwnProp2.call(to, key) && key !== except) + __defProp2(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc2(from, key)) || desc.enumerable }); + } + return to; + }; + var __reExport = (target, mod3, secondTarget) => (__copyProps2(target, mod3, "default"), secondTarget && __copyProps2(secondTarget, mod3, "default")); + var __toCommonJS2 = (mod3) => __copyProps2(__defProp2({}, "__esModule", { value: true }), mod3); + var tf_node_exports = {}; + __export2(tf_node_exports, { + version: () => version7 + }); + module2.exports = __toCommonJS2(tf_node_exports); + __reExport(tf_node_exports, require("@tensorflow/tfjs-node"), module2.exports); + var version4 = "4.5.0"; + var version22 = "4.5.0"; + var version32 = "4.5.0"; + var version42 = "4.5.0"; + var version5 = "4.5.0"; + var version6 = "0.0.1-alpha.20"; + var version7 = { + tfjs: version4, + "tfjs-core": version4, + // 'tfjs-data': tfjsDataVersion, + // 'tfjs-layers': tfjsLayersVersion, + "tfjs-converter": version22, + "tfjs-backend-cpu": version32, + "tfjs-backend-webgl": version42, + "tfjs-backend-wasm": version5, + "tfjs-backend-webgpu": version6 + }; + } +}); + +// src/human.ts +var human_exports = {}; +__export(human_exports, { + Env: () => Env, + Human: () => Human, + default: () => Human, + defaults: () => config, + draw: () => draw_exports, + empty: () => empty, + env: () => env, + match: () => match_exports, + models: () => models_exports2 +}); +module.exports = __toCommonJS(human_exports); +var tf38 = __toESM(require_tfjs_esm()); + +// src/util/util.ts +function log(...msg) { + const dt = /* @__PURE__ */ new Date(); + const ts = `${dt.getHours().toString().padStart(2, "0")}:${dt.getMinutes().toString().padStart(2, "0")}:${dt.getSeconds().toString().padStart(2, "0")}.${dt.getMilliseconds().toString().padStart(3, "0")}`; + if (msg) + console.log(ts, "Human:", ...msg); +} +function join(folder, file) { + const separator = folder.endsWith("/") ? "" : "/"; + const skipJoin = file.startsWith(".") || file.startsWith("/") || file.startsWith("http:") || file.startsWith("https:") || file.startsWith("file:"); + const path = skipJoin ? `${file}` : `${folder}${separator}${file}`; + if (!path.toLocaleLowerCase().includes(".json")) + throw new Error(`modelpath error: expecting json file: ${path}`); + return path; +} +var now = () => { + if (typeof performance !== "undefined") + return performance.now(); + return parseInt((Number(process.hrtime.bigint()) / 1e3 / 1e3).toString()); +}; +function validate(defaults, config3, parent = "config", msgs = []) { + for (const key of Object.keys(config3)) { + if (typeof config3[key] === "object") { + validate(defaults[key], config3[key], key, msgs); + } else { + const defined = defaults && typeof defaults[key] !== "undefined"; + if (!defined) + msgs.push({ reason: "unknown property", where: `${parent}.${key} = ${config3[key]}` }); + const same = defaults && typeof defaults[key] === typeof config3[key]; + if (defined && !same) + msgs.push({ reason: "property type mismatch", where: `${parent}.${key} = ${config3[key]}`, expected: typeof defaults[key] }); + } + } + if (config3.debug && parent === "config" && msgs.length > 0) + log("invalid configuration", msgs); + return msgs; +} +function mergeDeep(...objects) { + const isObject = (obj) => obj && typeof obj === "object"; + return objects.reduce((prev, obj) => { + Object.keys(obj || {}).forEach((key) => { + const pVal = prev[key]; + const oVal = obj[key]; + if (Array.isArray(pVal) && Array.isArray(oVal)) + prev[key] = pVal.concat(...oVal); + else if (isObject(pVal) && isObject(oVal)) + prev[key] = mergeDeep(pVal, oVal); + else + prev[key] = oVal; + }); + return prev; + }, {}); +} + +// src/config.ts +var config = { + backend: "", + modelBasePath: "", + cacheModels: true, + validateModels: true, + wasmPath: "", + wasmPlatformFetch: false, + debug: false, + async: true, + warmup: "full", + cacheSensitivity: 0.7, + skipAllowed: false, + deallocate: false, + flags: {}, + softwareKernels: false, + filter: { + enabled: true, + equalization: false, + width: 0, + height: 0, + flip: false, + return: true, + autoBrightness: true, + brightness: 0, + contrast: 0, + sharpness: 0, + blur: 0, + saturation: 0, + hue: 0, + negative: false, + sepia: false, + vintage: false, + kodachrome: false, + technicolor: false, + polaroid: false, + pixelate: 0 + }, + gesture: { + enabled: true + }, + face: { + enabled: true, + detector: { + modelPath: "blazeface.json", + rotation: false, + maxDetected: 1, + skipFrames: 99, + skipTime: 2500, + minConfidence: 0.2, + minSize: 0, + iouThreshold: 0.1, + mask: false, + return: false + }, + mesh: { + enabled: true, + modelPath: "facemesh.json", + keepInvalid: false + }, + attention: { + enabled: false, + modelPath: "facemesh-attention.json" + }, + iris: { + enabled: true, + modelPath: "iris.json" + }, + emotion: { + enabled: true, + minConfidence: 0.1, + skipFrames: 99, + skipTime: 1500, + modelPath: "emotion.json" + }, + description: { + enabled: true, + modelPath: "faceres.json", + skipFrames: 99, + skipTime: 3e3, + minConfidence: 0.1 + }, + antispoof: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "antispoof.json" + }, + liveness: { + enabled: false, + skipFrames: 99, + skipTime: 4e3, + modelPath: "liveness.json" + } + }, + body: { + enabled: true, + modelPath: "movenet-lightning.json", + maxDetected: -1, + minConfidence: 0.3, + skipFrames: 1, + skipTime: 200 + }, + hand: { + enabled: true, + rotation: true, + skipFrames: 99, + skipTime: 1e3, + minConfidence: 0.5, + iouThreshold: 0.2, + maxDetected: -1, + landmarks: true, + detector: { + modelPath: "handtrack.json" + }, + skeleton: { + modelPath: "handlandmark-lite.json" + } + }, + object: { + enabled: false, + modelPath: "centernet.json", + minConfidence: 0.2, + iouThreshold: 0.4, + maxDetected: 10, + skipFrames: 99, + skipTime: 2e3 + }, + segmentation: { + enabled: false, + modelPath: "rvm.json", + ratio: 0.5, + mode: "default" + } +}; + +// src/util/env.ts +var tf3 = __toESM(require_tfjs_esm()); + +// src/image/image.ts +var tf2 = __toESM(require_tfjs_esm()); + +// src/image/imagefxshaders.ts +var vertexIdentity = ` precision highp float; attribute vec2 pos; attribute vec2 uv; @@ -14,7 +330,8 @@ vUv = uv; gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.); } -`;var C1=` +`; +var colorMatrixWithAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -26,7 +343,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14]; gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19]; } -`,W1=` +`; +var colorMatrixWithoutAlpha = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -38,7 +356,8 @@ gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14]; gl_FragColor.a = c.a; } -`,D1=` +`; +var pixelate = ` precision highp float; varying vec2 vUv; uniform vec2 size; @@ -51,7 +370,8 @@ vec2 coord = pixelate(vUv, size); gl_FragColor += texture2D(texture, coord); } -`,F1=` +`; +var blur = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -74,7 +394,8 @@ gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794; gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265; } -`,B1=` +`; +var convolution = ` precision highp float; varying vec2 vUv; uniform sampler2D texture; @@ -96,20 +417,6195 @@ c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var Qt=(e,t,n)=>{let o=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(o,(r,s)=>(n[s]=0,r))},_t=class{constructor(t,n,o){w(this,"uniform",{});w(this,"attribute",{});w(this,"gl");w(this,"id");w(this,"compile",(t,n)=>{let o=this.gl.createShader(n);return o?(this.gl.shaderSource(o,t),this.gl.compileShader(o),this.gl.getShaderParameter(o,this.gl.COMPILE_STATUS)?o:(h(`filter: gl compile failed: ${this.gl.getShaderInfoLog(o)||"unknown"}`),null)):(h("filter: could not create shader"),null)});this.gl=t;let r=this.compile(n,this.gl.VERTEX_SHADER),s=this.compile(o,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!r||!s)){if(!this.id){h("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,r),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){h(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)||"unknown"}`);return}this.gl.useProgram(this.id),Qt(n,"attribute",this.attribute);for(let A in this.attribute)this.attribute[A]=this.gl.getAttribLocation(this.id,A);Qt(n,"uniform",this.uniform),Qt(o,"uniform",this.uniform);for(let A in this.uniform)this.uniform[A]=this.gl.getUniformLocation(this.id,A)}}};function H1(){let e=0,t=null,n=!1,o=-1,r=[null,null],s=[],A=null,a=null,l=Ae(100,100),c={},x={INTERMEDIATE:1},i=l.getContext("webgl");if(!i){h("filter: cannot get webgl context");return}this.gl=i;function f(g,p){if(!(g===l.width&&p===l.height)){if(l.width=g,l.height=p,!A){let b=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);A=i.createBuffer(),i.bindBuffer(i.ARRAY_BUFFER,A),i.bufferData(i.ARRAY_BUFFER,b,i.STATIC_DRAW),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}i.viewport(0,0,l.width,l.height),r=[null,null]}}function d(g,p){let b=i.createFramebuffer();i.bindFramebuffer(i.FRAMEBUFFER,b);let k=i.createRenderbuffer();i.bindRenderbuffer(i.RENDERBUFFER,k);let P=i.createTexture();return i.bindTexture(i.TEXTURE_2D,P),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,g,p,0,i.RGBA,i.UNSIGNED_BYTE,null),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.framebufferTexture2D(i.FRAMEBUFFER,i.COLOR_ATTACHMENT0,i.TEXTURE_2D,P,0),i.bindTexture(i.TEXTURE_2D,null),i.bindFramebuffer(i.FRAMEBUFFER,null),{fbo:b,texture:P}}function m(g){return r[g]=r[g]||d(l.width,l.height),r[g]}function y(g=0){if(!a)return;let p=null,b=null,k=!1;e===0?p=t:p=m(o).texture||null,e++,n&&!(g&x.INTERMEDIATE)?(b=null,k=e%2===0):(o=(o+1)%2,b=m(o).fbo||null),i.bindTexture(i.TEXTURE_2D,p),i.bindFramebuffer(i.FRAMEBUFFER,b),i.uniform1f(a.uniform.flipY,k?-1:1),i.drawArrays(i.TRIANGLES,0,6)}function u(g){if(c[g])return a=c[g],i.useProgram((a?a.id:null)||null),a;if(a=new _t(i,O1,g),!a)return h("filter: could not get webgl program"),null;let p=Float32Array.BYTES_PER_ELEMENT,b=4*p;return i.enableVertexAttribArray(a.attribute.pos),i.vertexAttribPointer(a.attribute.pos,2,i.FLOAT,!1,b,0*p),i.enableVertexAttribArray(a.attribute.uv),i.vertexAttribPointer(a.attribute.uv,2,i.FLOAT,!1,b,2*p),c[g]=a,a}let T={colorMatrix:g=>{let p=new Float32Array(g);p[4]/=255,p[9]/=255,p[14]/=255,p[19]/=255;let b=p[18]===1&&p[3]===0&&p[8]===0&&p[13]===0&&p[15]===0&&p[16]===0&&p[17]===0&&p[19]===0?W1:C1,k=u(b);k&&(i.uniform1fv(k.uniform.m,p),y())},brightness:g=>{let p=(g||0)+1;T.colorMatrix([p,0,0,0,0,0,p,0,0,0,0,0,p,0,0,0,0,0,1,0])},saturation:g=>{let p=(g||0)*2/3+1,b=(p-1)*-.5;T.colorMatrix([p,b,b,0,0,b,p,b,0,0,b,b,p,0,0,0,0,0,1,0])},desaturate:()=>{T.saturation(-1)},contrast:g=>{let p=(g||0)+1,b=-128*(p-1);T.colorMatrix([p,0,0,0,b,0,p,0,0,b,0,0,p,0,b,0,0,0,1,0])},negative:()=>{T.contrast(-2)},hue:g=>{g=(g||0)/180*Math.PI;let p=Math.cos(g),b=Math.sin(g),k=.213,P=.715,N=.072;T.colorMatrix([k+p*(1-k)+b*-k,P+p*-P+b*-P,N+p*-N+b*(1-N),0,0,k+p*-k+b*.143,P+p*(1-P)+b*.14,N+p*-N+b*-.283,0,0,k+p*-k+b*-(1-k),P+p*-P+b*P,N+p*(1-N)+b*N,0,0,0,0,0,1,0])},desaturateLuminance:()=>{T.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{T.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{T.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{T.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{T.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{T.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{T.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{T.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:g=>{let p=new Float32Array(g),b=1/l.width,k=1/l.height,P=u(B1);P&&(i.uniform1fv(P.uniform.m,p),i.uniform2f(P.uniform.px,b,k),y())},detectEdges:()=>{T.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{T.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{T.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:g=>{let p=g||1;T.convolution.call(this,[0,-1*p,0,-1*p,1+4*p,-1*p,0,-1*p,0])},emboss:g=>{let p=g||1;T.convolution.call(this,[-2*p,-1*p,0,-1*p,1,1*p,0,1*p,2*p])},blur:g=>{let p=g/7/l.width,b=g/7/l.height,k=u(F1);k&&(i.uniform2f(k.uniform.px,0,b),y(x.INTERMEDIATE),i.uniform2f(k.uniform.px,p,0),y())},pixelate:g=>{let p=g/l.width,b=g/l.height,k=u(D1);k&&(i.uniform2f(k.uniform.size,p,b),y())}};this.add=function(g){let p=Array.prototype.slice.call(arguments,1),b=T[g];s.push({func:b,args:p})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(g){f(g.width,g.height),e=0,t||(t=i.createTexture()),i.bindTexture(i.TEXTURE_2D,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,g);for(let p=0;px.data())),A=Math.max(s[0][0],s[1][0],s[2][0]),l=(A>1?255:1)/A,c;if(l>1){let x=[U.sub(n[0],o[0]),U.sub(n[1],o[1]),U.sub(n[2],o[2])],i=[U.sub(r[0],o[0]),U.sub(r[1],o[1]),U.sub(r[2],o[2])],f=[U.mul(x[0],l),U.mul(x[1],l),U.mul(x[2],l)],d=U.stack([f[0],f[1],f[2]],2);c=U.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),U.dispose([...x,...i,...f])}else c=U.expandDims(t,0);return U.dispose([...n,...o,...r,n,t,e]),c}var X2=3840,R0=null,M0=null,y2=null,e0,ne={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function $t(){ne.inputSum=0,ne.cacheDiff=1,ne.sumMethod=0,ne.inputTensor=void 0}function Ae(e,t){let n;if(R.browser)if(R.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")n=document.createElement("canvas"),n.width=e,n.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof R.Canvas!="undefined")n=new R.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")n=new globalThis.Canvas(e,t);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof R.Canvas!="undefined"?n=new R.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t));return n}function q2(e,t){let n=t||Ae(e.width,e.height);return n.getContext("2d").drawImage(e,0,0),n}async function U2(e,t,n=!0){var f,d,m;if(!e)return t.debug&&h("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof I.Tensor)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof I.Tensor){let y=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)y=I.expandDims(e,0);else if(e.shape[2]===4){let u=I.slice3d(e,[0,0,0],[-1,-1,3]);y=I.expandDims(u,0),I.dispose(u)}}else e.shape.length===4&&(e.shape[3]===3?y=I.clone(e):e.shape[3]===4&&(y=I.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(y==null||y.shape.length!==4||y.shape[0]!==1||y.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(y.dtype==="int32"){let u=I.cast(y,"float32");I.dispose(y),y=u}return{tensor:y,canvas:t.filter.return?M0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&h("input stream is not ready"),{tensor:null,canvas:R0};let o=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!o||!r)return t.debug&&h("cannot determine input dimensions"),{tensor:null,canvas:R0};let s=o,A=r;if(s>X2&&(s=X2,A=Math.trunc(s*r/o)),A>X2&&(A=X2,s=Math.trunc(A*o/r)),(((f=t.filter)==null?void 0:f.width)||0)>0?s=t.filter.width:(((d=t.filter)==null?void 0:d.height)||0)>0&&(s=o*((t.filter.height||0)/r)),(t.filter.height||0)>0?A=t.filter.height:(t.filter.width||0)>0&&(A=r*((t.filter.width||0)/o)),!s||!A)throw new Error("input error: cannot determine dimension");(!R0||R0.width!==s||R0.height!==A)&&(R0=Ae(s,A));let a=R0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?a.putImageData(e,0,0):t.filter.flip&&typeof a.translate!="undefined"?(a.translate(o,0),a.scale(-1,1),a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),a.setTransform(1,0,0,1,0,0)):a.drawImage(e,0,0,o,r,0,0,R0.width,R0.height),(!M0||R0.width!==M0.width||R0.height!==M0.height)&&(M0=Ae(R0.width,R0.height)),t.filter.enabled&&R.webgl.supported?(e0||(e0=R.browser?new H1:null),R.filter=!!e0,e0!=null&&e0.add?(e0.reset(),t.filter.brightness!==0&&e0.add("brightness",t.filter.brightness),t.filter.contrast!==0&&e0.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&e0.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&e0.add("blur",t.filter.blur),t.filter.saturation!==0&&e0.add("saturation",t.filter.saturation),t.filter.hue!==0&&e0.add("hue",t.filter.hue),t.filter.negative&&e0.add("negative"),t.filter.sepia&&e0.add("sepia"),t.filter.vintage&&e0.add("brownie"),t.filter.sepia&&e0.add("sepia"),t.filter.kodachrome&&e0.add("kodachrome"),t.filter.technicolor&&e0.add("technicolor"),t.filter.polaroid&&e0.add("polaroid"),t.filter.pixelate!==0&&e0.add("pixelate",t.filter.pixelate),((m=e0.get())==null?void 0:m.length)>1?M0=e0.apply(R0):M0=e0.draw(R0)):(t.debug&&h("input process error: cannot initialize filters"),R.webgl.supported=!1,t.filter.enabled=!1,q2(R0,M0))):(q2(R0,M0),e0&&(e0=null),R.filter=!!e0),!n)return{tensor:null,canvas:M0};if(!M0)throw new Error("canvas error: cannot create output");let l,c=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(R.browser&&I.browser)l=I.browser?I.browser.fromPixels(e):null;else{c=e.data.length/e.height/e.width;let y=new Uint8Array(e.data.buffer);l=I.tensor(y,[e.height,e.width,c],"int32")}else if((!y2||M0.width!==y2.width||M0.height!==y2.height)&&(y2=Ae(M0.width,M0.height)),I.browser&&R.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=I.browser.fromPixels(M0):(y2=q2(M0),l=I.browser.fromPixels(y2));else{let T=q2(M0).getContext("2d").getImageData(0,0,s,A);c=T.data.length/s/A;let g=new Uint8Array(T.data.buffer);l=I.tensor(g,[s,A,c])}if(c===4){let y=I.slice3d(l,[0,0,0],[-1,-1,3]);I.dispose(l),l=y}if(!l)throw new Error("input error: cannot create tensor");let x=I.cast(l,"float32"),i=t.filter.equalization?await Z2(x):I.expandDims(x,0);if(I.dispose([l,x]),t.filter.autoBrightness){let y=I.max(i),u=await y.data();t.filter.brightness=u[0]>1?1-u[0]/255:1-u[0],I.dispose(y)}return{tensor:i,canvas:t.filter.return?M0:null}}async function G1(e,t){let n=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return n;if(!ne.inputTensor)ne.inputTensor=I.clone(t);else if(ne.inputTensor.shape[1]!==t.shape[1]||ne.inputTensor.shape[2]!==t.shape[2])I.dispose(ne.inputTensor),ne.inputTensor=I.clone(t);else{let o={};o.diff=I.sub(t,ne.inputTensor),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;I.dispose([ne.inputTensor,o.diff,o.squared,o.sum]),ne.inputTensor=I.clone(t),n=s<=(e.cacheSensitivity||0)}return n}async function V1(e,t,n){let o={};if(!t||!n||t.shape.length!==4||t.shape.length!==n.shape.length)return e.debug||h("invalid input tensor or tensor shapes do not match:",t.shape,n.shape),0;if(t.shape[0]!==1||n.shape[0]!==1||t.shape[3]!==3||n.shape[3]!==3)return e.debug||h("input tensors must be of shape [1, height, width, 3]:",t.shape,n.shape),0;o.input1=I.clone(t),o.input2=t.shape[1]!==n.shape[1]||t.shape[2]!==n.shape[2]?I.image.resizeBilinear(n,[t.shape[1],t.shape[2]]):I.clone(n),o.diff=I.sub(o.input1,o.input2),o.squared=I.mul(o.diff,o.diff),o.sum=I.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;return I.dispose([o.input1,o.input2,o.diff,o.squared,o.sum]),s}var z2,S2,j2,E2=class{constructor(){w(this,"browser");w(this,"node");w(this,"worker");w(this,"platform","");w(this,"agent","");w(this,"backends",[]);w(this,"initial");w(this,"filter");w(this,"tfjs");w(this,"offscreen");w(this,"perfadd",!1);w(this,"tensorflow",{version:void 0,gpu:void 0});w(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0});w(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0});w(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0});w(this,"cpu",{model:void 0,flags:[]});w(this,"kernels",[]);ue(this,z2,void 0);ue(this,S2,void 0);ue(this,j2,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:W0.version["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",n=t.match(/\(([^()]+)\)/g);if(n!=null&&n[0]){let o=n[0].match(/\(([^()]+)\)/g);this.platform=o!=null&&o[0]?o[0].replace(/\(|\)/g,""):"",this.agent=t.replace(n[0],""),this.platform[1]&&(this.agent=this.agent.replace(n[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Y0(this,z2)}set Canvas(t){Re(this,z2,t),globalThis.Canvas=t}get Image(){return Y0(this,S2)}set Image(t){Re(this,S2,t),globalThis.Image=t}get ImageData(){return Y0(this,j2)}set ImageData(t){Re(this,j2,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(W0.engine().registryFactory);try{this.tensorflow={version:W0.backend().binding?W0.backend().binding.TF_Version:void 0,gpu:W0.backend().binding?W0.backend().binding.isUsingGpuDevice():void 0}}catch(o){}this.wasm.supported=typeof WebAssembly!="undefined",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await W0.env().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await W0.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=Ae(100,100),n=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof n!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&n&&(this.webgl.version=n.getParameter(n.VERSION),this.webgl.vendor=n.getParameter(n.VENDOR),this.webgl.renderer=n.getParameter(n.RENDERER),this.webgl.shader=n.getParameter(n.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let o=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(o==null?void 0:o.requestAdapterInfo())}}catch(o){this.webgpu.supported=!1}try{this.kernels=W0.getKernelsForBackend(W0.getBackend()).map(o=>o.kernelName.toLowerCase())}catch(o){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};z2=new WeakMap,S2=new WeakMap,j2=new WeakMap;var R=new E2;var K2=class{constructor(){w(this,"config");w(this,"element");w(this,"stream");w(this,"devices",[]);w(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(n=>n.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});w(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let A=document.getElementById(t.element);if(A&&A instanceof HTMLVideoElement)this.element=A;else{this.config.debug&&h("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else{this.config.debug&&h("webcam","unknown dom element",t.element);return}else this.element=document.createElement("video");let n={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((r=this.config)==null?void 0:r.width)>0&&(n.video.width={ideal:this.config.width}),((s=this.config)==null?void 0:s.height)>0&&(n.video.height={ideal:this.config.height}),this.config.id&&(n.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&h("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&h("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&h("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(n)}catch(A){h("webcam",A);return}if(!this.stream){this.config.debug&&h("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(A=>{this.element?this.element.onloadeddata=()=>A(!0):A(!1)}),await this.element.play(),this.config.debug&&h("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});w(this,"pause",()=>{this.element&&this.element.pause()});w(this,"play",async()=>{this.element&&await this.element.play()});w(this,"stop",()=>{this.config.debug&&h("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var f2=G(H());var e5={};ze(e5,{"affectnet-mobilenet":()=>hr,age:()=>br,"anti-spoofing":()=>Qr,antispoof:()=>Ar,blazeface:()=>ar,"blazeface-back":()=>gr,"blazeface-front":()=>Tr,"blazepose-detector":()=>vr,"blazepose-full":()=>Rr,"blazepose-heavy":()=>Mr,"blazepose-lite":()=>Pr,centernet:()=>ir,default:()=>cs,efficientpose:()=>kr,"efficientpose-i-lite":()=>_r,"efficientpose-ii-lite":()=>$r,"efficientpose-iv":()=>es,emotion:()=>lr,faceboxes:()=>wr,facemesh:()=>cr,"facemesh-attention":()=>zr,"facemesh-attention-pinto":()=>Er,"facemesh-detection-full":()=>Sr,"facemesh-detection-short":()=>jr,faceres:()=>dr,"faceres-deep":()=>Ir,gear:()=>Or,"gear-e1":()=>Nr,"gear-e2":()=>Lr,gender:()=>Wr,"gender-ssrnet-imdb":()=>Cr,handdetect:()=>Dr,"handlandmark-full":()=>Fr,"handlandmark-lite":()=>xr,"handlandmark-sparse":()=>Br,handskeleton:()=>Hr,handtrack:()=>yr,"insightface-efficientnet-b0":()=>ts,"insightface-ghostnet-strides1":()=>ns,"insightface-ghostnet-strides2":()=>os,"insightface-mobilenet-emore":()=>rs,"insightface-mobilenet-swish":()=>ss,iris:()=>fr,liveness:()=>mr,meet:()=>Gr,mobileface:()=>Vr,mobilefacenet:()=>Zr,models:()=>pr,"movenet-lightning":()=>ur,"movenet-multipose":()=>Xr,"movenet-thunder":()=>qr,nanodet:()=>Ur,"nanodet-e":()=>As,"nanodet-g":()=>as,"nanodet-m":()=>is,"nanodet-t":()=>ls,posenet:()=>Yr,rvm:()=>Kr,selfie:()=>Jr});var Ar=853098,ar=538928,ir=4030290,lr=820516,cr=1477958,dr=6978814,xr=2023432,yr=2964837,fr=2599092,mr=592976,pr=0,ur=4650216,hr=6920630,br=161240,gr=538928,Tr=402048,vr=5928856,Rr=6339202,Mr=27502466,Pr=2726402,kr=5651240,wr=2013002,Er=2387598,zr=2382414,Sr=1026192,jr=201268,Ir=13957620,Nr=112438,Lr=112438,Or=1498916,Cr=161236,Wr=201808,Dr=3515612,Fr=5431368,Br=5286322,Hr=5502280,Gr=372228,Vr=2183192,Zr=5171976,Xr=9448838,qr=12477112,Ur=7574558,Yr=5032780,Kr=3739355,Jr=212886,Qr=853098,_r=2269064,$r=5651240,es=25643252,ts=13013224,ns=8093408,os=8049584,rs=6938536,ss=12168584,As=12319156,as=7574558,is=1887474,ls=5294216,cs={antispoof:Ar,blazeface:ar,centernet:ir,emotion:lr,facemesh:cr,faceres:dr,"handlandmark-lite":xr,handtrack:yr,iris:fr,liveness:mr,models:pr,"movenet-lightning":ur,"affectnet-mobilenet":hr,age:br,"blazeface-back":gr,"blazeface-front":Tr,"blazepose-detector":vr,"blazepose-full":Rr,"blazepose-heavy":Mr,"blazepose-lite":Pr,efficientpose:kr,faceboxes:wr,"facemesh-attention-pinto":Er,"facemesh-attention":zr,"facemesh-detection-full":Sr,"facemesh-detection-short":jr,"faceres-deep":Ir,"gear-e1":Nr,"gear-e2":Lr,gear:Or,"gender-ssrnet-imdb":Cr,gender:Wr,handdetect:Dr,"handlandmark-full":Fr,"handlandmark-sparse":Br,handskeleton:Hr,meet:Gr,mobileface:Vr,mobilefacenet:Zr,"movenet-multipose":Xr,"movenet-thunder":qr,nanodet:Ur,posenet:Yr,rvm:Kr,selfie:Jr,"anti-spoofing":Qr,"efficientpose-i-lite":_r,"efficientpose-ii-lite":$r,"efficientpose-iv":es,"insightface-efficientnet-b0":ts,"insightface-ghostnet-strides1":ns,"insightface-ghostnet-strides2":os,"insightface-mobilenet-emore":rs,"insightface-mobilenet-swish":ss,"nanodet-e":As,"nanodet-g":as,"nanodet-m":is,"nanodet-t":ls};var D0={cacheModels:!0,cacheSupported:!0,verbose:!0,debug:!1,modelBasePath:""},I0={};async function ds(e,t){return D0.debug&&h("load model fetch:",e,t),fetch(e,t)}function Z1(e){D0.cacheModels=e.cacheModels,D0.verbose=e.debug,D0.modelBasePath=e.modelBasePath}async function L(e){var c,x,i,f;let t=L1(D0.modelBasePath,e||"");t.toLowerCase().endsWith(".json")||(t+=".json");let n=t.includes("/")?t.split("/"):t.split("\\"),o=n[n.length-1].replace(".json",""),r="indexeddb://"+o;I0[o]={name:o,sizeFromManifest:0,sizeLoadedWeights:0,sizeDesired:e5[o],inCache:!1,url:""},D0.cacheSupported=typeof indexedDB!="undefined";let s={};try{s=D0.cacheSupported&&D0.cacheModels?await f2.io.listModels():{}}catch(d){D0.cacheSupported=!1}I0[o].inCache=D0.cacheSupported&&D0.cacheModels&&Object.keys(s).includes(r),I0[o].url=I0[o].inCache?r:t;let A=typeof fetch=="undefined"?{}:{fetchFunc:(d,m)=>ds(d,m)},a=new f2.GraphModel(I0[o].url,A),l=!1;try{a.findIOHandler(),D0.debug&&h("model load handler:",a.handler)}catch(d){h("error finding model i/o handler:",t,d)}try{let d=await((c=a.handler)==null?void 0:c.load())||null;I0[o].sizeFromManifest=((x=d==null?void 0:d.weightData)==null?void 0:x.byteLength)||0,d?a.loadSync(d):a=await f2.loadGraphModel(I0[o].inCache?r:t,A),I0[o].sizeLoadedWeights=((f=(i=a.artifacts)==null?void 0:i.weightData)==null?void 0:f.byteLength)||0,D0.verbose&&h("load:",{model:o,url:a.modelUrl,bytes:I0[o].sizeLoadedWeights}),l=!0}catch(d){h("error loading model:",t,d)}if(l&&D0.cacheModels&&D0.cacheSupported&&!I0[o].inCache)try{let d=await a.save(r);D0.debug&&h("model saved:",r,d)}catch(d){h("error saving model:",t,d)}return a}var t5="3.0.6";var S=G(H());var u0=G(H());var o0={name:"humangl",priority:999,canvas:null,gl:null,extensions:[],webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function fs(){let e=o0.gl;e&&(o0.extensions=e.getSupportedExtensions())}function X1(e){var t;if(e.config.backend==="humangl"&&(o0.name in u0.engine().registry&&!((t=o0==null?void 0:o0.gl)!=null&&t.getParameter(o0.gl.VERSION))&&(h("humangl error: backend invalid context"),e.models.reset()),!u0.findBackend(o0.name))){try{o0.canvas=Ae(100,100)}catch(r){h("humangl error: cannot create canvas:",r);return}try{if(o0.gl=o0.canvas.getContext("webgl2",o0.webGLattr),!o0.gl){h("humangl error: cannot get webgl context");return}if(!o0.gl.getParameter(o0.gl.VERSION).includes("2.0")){h("backend override: using fallback webgl backend as webgl 2.0 is not detected"),e.config.backend="webgl";return}o0.canvas&&(o0.canvas.addEventListener("webglcontextlost",s=>{throw h("humangl error:",s.type),h("possible browser memory leak using webgl or conflict with multiple backend registrations"),e.emit("error"),new Error("backend error: webgl context lost")}),o0.canvas.addEventListener("webglcontextrestored",s=>{h("humangl error: context restored:",s)}),o0.canvas.addEventListener("webglcontextcreationerror",s=>{h("humangl error: context create:",s)}))}catch(r){h("humangl error: cannot get webgl context:",r);return}try{u0.setWebGLContext(2,o0.gl)}catch(r){h("humangl error: cannot set webgl context:",r);return}try{let r=new u0.GPGPUContext(o0.gl);u0.registerBackend(o0.name,()=>new u0.MathBackendWebGL(r),o0.priority)}catch(r){h("humangl error: cannot register webgl backend:",r);return}try{u0.getKernelsForBackend("webgl").forEach(s=>{let A={...s,backendName:o0.name};u0.registerKernel(A)})}catch(r){h("humangl error: cannot update webgl backend registration:",r);return}try{u0.env().flagRegistry.WEBGL_VERSION&&u0.env().set("WEBGL_VERSION",2)}catch(r){h("humangl error: cannot set WebGL backend flags:",r);return}fs();let n=u0.backend(),o=typeof n.gpgpu!="undefined"?n.getGPGPUContext().gl:null;o?e.config.debug&&h("humangl backend registered:",{webgl:o.getParameter(o.VERSION),renderer:o.getParameter(o.RENDERER)}):h("humangl error: no current gl context:",o,o0.gl)}}var Se=G(H()),C={tf255:255,tf1:1,tf2:2,tf05:.5,tf127:127.5,rgb:[.2989,.587,.114]};function q1(){C.tf255=Se.scalar(255,"float32"),C.tf1=Se.scalar(1,"float32"),C.tf2=Se.scalar(2,"float32"),C.tf05=Se.scalar(.5,"float32"),C.tf127=Se.scalar(127.5,"float32"),C.rgb=Se.tensor1d([.2989,.587,.114],"float32")}async function us(){var e;return await R.updateBackend(),(e=R.tensorflow)!=null&&e.version?"tensorflow":R.webgpu.supported&&R.webgpu.backend?"webgpu":R.webgl.supported&&R.webgl.backend?"webgl":R.wasm.supported&&R.wasm.backend?"wasm":"cpu"}function hs(e){let t=[];if(!R.kernels.includes("mod")){let n={kernelName:"Mod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.sub(o.inputs.a,S.mul(S.div(o.inputs.a,o.inputs.b),o.inputs.b)))};S.registerKernel(n),R.kernels.push("mod"),t.push("mod")}if(!R.kernels.includes("floormod")){let n={kernelName:"FloorMod",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>S.add(S.mul(S.floorDiv(o.inputs.a,o.inputs.b),o.inputs.b),S.mod(o.inputs.a,o.inputs.b)))};S.registerKernel(n),R.kernels.push("floormod"),t.push("floormod")}if(!R.kernels.includes("rotatewithoffset")&&e.softwareKernels){let n={kernelName:"RotateWithOffset",backendName:S.getBackend(),kernelFunc:o=>S.tidy(()=>{let r=S.getBackend();S.setBackend("cpu");let s=S.image.rotateWithOffset(o.inputs.image,o.attrs.radians,o.attrs.fillValue,o.attrs.center);return S.setBackend(r),s})};S.registerKernel(n),R.kernels.push("rotatewithoffset"),t.push("rotatewithoffset")}t.length>0&&e.debug&&h("registered kernels:",t)}var U1={};async function I2(e,t=!1){var n,o;if(e.state="backend",((n=e.config.backend)==null?void 0:n.length)===0&&(e.config.backend=await us()),t||R.initial||e.config.backend&&e.config.backend.length>0&&S.getBackend()!==e.config.backend){let r=v();if(e.config.backend&&e.config.backend.length>0){typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&e.config.debug&&e.config.debug&&h("running inside web worker"),typeof navigator!="undefined"&&((o=navigator==null?void 0:navigator.userAgent)!=null&&o.toLowerCase().includes("electron"))&&e.config.debug&&h("running inside electron");let s=Object.keys(S.engine().registryFactory);if(e.config.backend==="humangl"&&!s.includes("humangl")&&(X1(e),s=Object.keys(S.engine().registryFactory)),e.config.debug&&h("available backends:",s),R.browser&&!R.node&&e.config.backend==="tensorflow"&&s.includes("webgl")&&(e.config.debug&&h("override: backend set to tensorflow while running in browser"),e.config.backend="webgl"),R.node&&!R.browser&&(e.config.backend==="webgl"||e.config.backend==="humangl")&&s.includes("tensorflow")&&(e.config.debug&&h(`override: backend set to ${e.config.backend} while running in nodejs`),e.config.backend="tensorflow"),R.browser&&e.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")h("override: backend set to webgpu but browser does not support webgpu"),e.config.backend="webgl";else{let A=await navigator.gpu.requestAdapter();if(e.config.debug&&h("enumerated webgpu adapter:",A),!A)h("override: backend set to webgpu but browser reports no available gpu"),e.config.backend="webgl";else{let a="requestAdapterInfo"in A?await A.requestAdapterInfo():void 0;h("webgpu adapter info:",a)}}if(s.includes(e.config.backend)||(h(`error: backend ${e.config.backend} not found in registry`),e.config.backend=R.node?"tensorflow":"webgl",e.config.debug&&h(`override: setting backend ${e.config.backend}`)),e.config.debug&&h("setting backend:",[e.config.backend]),e.config.backend==="wasm"){if(S.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY&&S.env().set("CANVAS2D_WILL_READ_FREQUENTLY",!0),e.config.debug&&h("wasm path:",e.config.wasmPath),typeof S.setWasmPaths!="undefined")S.setWasmPaths(e.config.wasmPath,e.config.wasmPlatformFetch);else throw new Error("backend error: attempting to use wasm backend but wasm path is not set");let A=!1,a=!1;try{A=await S.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"),a=await S.env().getAsync("WASM_HAS_SIMD_SUPPORT"),e.config.debug&&h(`wasm execution: ${a?"simd":"no simd"} ${A?"multithreaded":"singlethreaded"}`),e.config.debug&&!a&&h("warning: wasm simd support is not enabled")}catch(l){h("wasm detection failed")}}try{await S.setBackend(e.config.backend),await S.ready()}catch(A){return h("error: cannot set backend:",e.config.backend,A),!1}e.config.debug&&(U1=JSON.parse(JSON.stringify(S.env().flags)))}if((S.getBackend()==="humangl"||S.getBackend()==="webgl")&&(S.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&S.env().set("WEBGL_USE_SHAPES_UNIFORMS",!0),S.env().flagRegistry.WEBGL_EXP_CONV&&S.env().set("WEBGL_EXP_CONV",!0),e.config.debug&&typeof e.config.deallocate!="undefined"&&e.config.deallocate&&(h("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),S.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD",0))),S.getBackend(),e.config.debug){let s=S.env().flags,A={};for(let a of Object.keys(s))U1[a]!==s[a]&&(A[a]=s[a]);e.config.debug&&Object.keys(A).length>0&&h("backend:",S.getBackend(),"flags:",A)}if(e.config.flags&&Object.keys(e.config.flags).length>0){e.config.debug&&h("flags:",e.config.flags);for(let[s,A]of Object.entries(e.config.flags))S.env().set(s,A)}S.enableProdMode(),q1(),e.performance.initBackend=Math.trunc(v()-r),e.config.backend=S.getBackend(),await R.updateBackend(),hs(e.config)}return!0}function J2(e,t){for(let n of e){let o={kernelName:n,backendName:t.backend,kernelFunc:r=>{var s;return t.debug&&h("kernelFunc",n,t.backend,r),(s=r==null?void 0:r.inputs)==null?void 0:s.info}};S.registerKernel(o)}R.kernels=S.getKernelsForBackend(S.getBackend()).map(n=>n.kernelName.toLowerCase())}var nt={};ze(nt,{all:()=>Ks,body:()=>_2,canvas:()=>Ys,face:()=>Q2,gesture:()=>tt,hand:()=>$2,init:()=>i5,object:()=>et,options:()=>f0,person:()=>Us});var oe=e=>{if(!e)h("draw error: invalid canvas");else if(!e.getContext)h("draw error: canvas context not defined");else{let t=e.getContext("2d");if(!t)h("draw error: cannot get canvas context");else return t}return null},Je=e=>Math.round(e*180/Math.PI),Y=(e,t,n)=>e.replace(t,typeof n=="number"?n.toFixed(1):n),Qe=(e,t)=>{if(!t.useDepth||typeof e=="undefined")return t.color;let n=Uint8ClampedArray.from([127+2*e,127-2*e,255]);return`rgba(${n[0]}, ${n[1]}, ${n[2]}, ${t.alpha})`};function re(e,t,n,o,r){let s=t.replace(/\[.*\]/g,"").split(` -`).map(a=>a.trim()),A=Math.max(0,n);for(let a=s.length-1;a>=0;a--){let l=a*r.lineHeight+o;r.shadowColor&&r.shadowColor!==""&&(e.fillStyle=r.shadowColor,e.fillText(s[a],A+5,l+16)),e.fillStyle=r.labelColor,e.fillText(s[a],A+4,l+15)}}function he(e,t,n,o,r){e.fillStyle=Qe(o,r),e.beginPath(),e.arc(t,n,r.pointSize,0,2*Math.PI),e.fill()}function be(e,t,n,o,r,s){if(e.beginPath(),e.lineWidth=s.lineWidth,s.useCurves){let A=(t+t+o)/2,a=(n+n+r)/2;e.ellipse(A,a,o/2,r/2,0,0,2*Math.PI)}else e.moveTo(t+s.roundRect,n),e.lineTo(t+o-s.roundRect,n),e.quadraticCurveTo(t+o,n,t+o,n+s.roundRect),e.lineTo(t+o,n+r-s.roundRect),e.quadraticCurveTo(t+o,n+r,t+o-s.roundRect,n+r),e.lineTo(t+s.roundRect,n+r),e.quadraticCurveTo(t,n+r,t,n+r-s.roundRect),e.lineTo(t,n+s.roundRect),e.quadraticCurveTo(t,n,t+s.roundRect,n),e.closePath();e.stroke()}function n5(e,t,n){if(!(t.length<2)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let o of t)e.strokeStyle=Qe(o[2]||0,n),e.lineTo(Math.trunc(o[0]),Math.trunc(o[1]));e.stroke(),n.fillPolygons&&(e.closePath(),e.fill())}}function K1(e,t,n){if(!(t.length<2)){if(e.lineWidth=n.lineWidth,!n.useCurves||t.length<=2){n5(e,t,n);return}e.moveTo(t[0][0],t[0][1]);for(let o=0;oN2[e]),Ga=gs.map(e=>N2[e]),Va=Ts.map(e=>N2[e]);function je(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var vs=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Rs=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Ms=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ps=[[474,475],[475,476],[476,477],[477,474]],ks=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ws=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Es=[[469,470],[470,471],[471,472],[472,469]],zs=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]],Za={lips:je(vs),leftEye:je(Rs),leftEyebrow:je(Ms),leftIris:je(Ps),rightEye:je(ks),rightEyebrow:je(ws),rightIris:je(Es),faceOval:je(zs)};var Ss=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],js=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Is=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ns=[[474,475],[475,476],[476,477],[477,474]],Ls=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Os=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Cs=[[469,470],[470,471],[471,472],[472,469]],Ws=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Ie(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Ds={lips:Ie(Ss),leftEye:Ie(js),leftEyebrow:Ie(Is),leftIris:Ie(Ns),rightEye:Ie(Ls),rightEyebrow:Ie(Os),rightIris:Ie(Cs),faceOval:Ie(Ws)},Fs=Object.entries(Ds).map(([e,t])=>t.map(n=>[n,e])).flat(),Xa=new Map(Fs),L2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],e2=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],t2=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];var q;function Bs(e,t){var o,r,s,A,a,l,c,x,i;if(!q.drawLabels||((o=q.faceLabels)==null?void 0:o.length)===0)return;let n=q.faceLabels.slice();if(n=Y(n,"[id]",e.id.toFixed(0)),e.score&&(n=Y(n,"[score]",100*e.score)),e.gender&&(n=Y(n,"[gender]",e.gender)),e.genderScore&&(n=Y(n,"[genderScore]",100*e.genderScore)),e.age&&(n=Y(n,"[age]",e.age)),e.distance&&(n=Y(n,"[distance]",100*e.distance)),e.real&&(n=Y(n,"[real]",100*e.real)),e.live&&(n=Y(n,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let f=e.emotion.map(d=>`${Math.trunc(100*d.score)}% ${d.emotion}`);f.length>3&&(f.length=3),n=Y(n,"[emotions]",f.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(n=Y(n,"[roll]",Je(e.rotation.angle.roll))),(a=(A=e.rotation)==null?void 0:A.angle)!=null&&a.yaw&&(n=Y(n,"[yaw]",Je(e.rotation.angle.yaw))),(c=(l=e.rotation)==null?void 0:l.angle)!=null&&c.pitch&&(n=Y(n,"[pitch]",Je(e.rotation.angle.pitch))),(i=(x=e.rotation)==null?void 0:x.gaze)!=null&&i.bearing&&(n=Y(n,"[gaze]",Je(e.rotation.gaze.bearing))),re(t,n,e.box[0],e.box[1],q)}function Hs(e,t){var n,o,r,s;if((n=e.annotations)!=null&&n.leftEyeIris&&((o=e.annotations)!=null&&o.leftEyeIris[0])){t.strokeStyle=q.useDepth?"rgba(255, 200, 255, 0.3)":q.color,t.beginPath();let A=Math.abs(e.annotations.leftEyeIris[3][0]-e.annotations.leftEyeIris[1][0])/2,a=Math.abs(e.annotations.leftEyeIris[4][1]-e.annotations.leftEyeIris[2][1])/2;t.ellipse(e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),q.fillPolygons&&(t.fillStyle=q.useDepth?"rgba(255, 255, 200, 0.3)":q.color,t.fill())}if((r=e.annotations)!=null&&r.rightEyeIris&&((s=e.annotations)!=null&&s.rightEyeIris[0])){t.strokeStyle=q.useDepth?"rgba(255, 200, 255, 0.3)":q.color,t.beginPath();let A=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,a=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],A,a,0,0,2*Math.PI),t.stroke(),q.fillPolygons&&(t.fillStyle=q.useDepth?"rgba(255, 255, 200, 0.3)":q.color,t.fill())}}function Gs(e,t){var n;if(q.drawGaze&&((n=e.rotation)!=null&&n.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let o=e.box[0]+e.box[2]/2-e.box[3]*Je(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*Je(e.rotation.angle.pitch)/90,s=new Path2D(` - M ${e.box[0]+e.box[2]/2} ${e.box[1]} +`; + +// src/image/imagefx.ts +var collect = (source, prefix, collection) => { + const r = new RegExp("\\b" + prefix + " \\w+ (\\w+)", "ig"); + source.replace(r, (match2, name) => { + collection[name] = 0; + return match2; + }); +}; +var GLProgram = class { + constructor(gl, vertexSource, fragmentSource) { + __publicField(this, "uniform", {}); + __publicField(this, "attribute", {}); + __publicField(this, "gl"); + __publicField(this, "id"); + __publicField(this, "compile", (source, type) => { + const shader = this.gl.createShader(type); + if (!shader) { + log("filter: could not create shader"); + return null; + } + this.gl.shaderSource(shader, source); + this.gl.compileShader(shader); + if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) { + log(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader) || "unknown"}`); + return null; + } + return shader; + }); + this.gl = gl; + const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER); + const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER); + this.id = this.gl.createProgram(); + if (!vertexShader || !fragmentShader) + return; + if (!this.id) { + log("filter: could not create webgl program"); + return; + } + this.gl.attachShader(this.id, vertexShader); + this.gl.attachShader(this.id, fragmentShader); + this.gl.linkProgram(this.id); + if (!this.gl.getProgramParameter(this.id, this.gl.LINK_STATUS)) { + log(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id) || "unknown"}`); + return; + } + this.gl.useProgram(this.id); + collect(vertexSource, "attribute", this.attribute); + for (const a in this.attribute) + this.attribute[a] = this.gl.getAttribLocation(this.id, a); + collect(vertexSource, "uniform", this.uniform); + collect(fragmentSource, "uniform", this.uniform); + for (const u in this.uniform) + this.uniform[u] = this.gl.getUniformLocation(this.id, u); + } +}; +function GLImageFilter() { + let drawCount = 0; + let sourceTexture = null; + let lastInChain = false; + let currentFramebufferIndex = -1; + let tempFramebuffers = [null, null]; + let filterChain = []; + let vertexBuffer = null; + let currentProgram = null; + const fxcanvas = canvas(100, 100); + const shaderProgramCache = {}; + const DRAW = { INTERMEDIATE: 1 }; + const gl = fxcanvas.getContext("webgl"); + if (!gl) { + log("filter: cannot get webgl context"); + return; + } + this.gl = gl; + function resize(width, height) { + if (width === fxcanvas.width && height === fxcanvas.height) + return; + fxcanvas.width = width; + fxcanvas.height = height; + if (!vertexBuffer) { + const vertices = new Float32Array([-1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0]); + vertexBuffer = gl.createBuffer(); + gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer); + gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW); + gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true); + } + gl.viewport(0, 0, fxcanvas.width, fxcanvas.height); + tempFramebuffers = [null, null]; + } + function createFramebufferTexture(width, height) { + const fbo = gl.createFramebuffer(); + gl.bindFramebuffer(gl.FRAMEBUFFER, fbo); + const renderbuffer = gl.createRenderbuffer(); + gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer); + const texture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, texture); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0); + gl.bindTexture(gl.TEXTURE_2D, null); + gl.bindFramebuffer(gl.FRAMEBUFFER, null); + return { fbo, texture }; + } + function getTempFramebuffer(index2) { + tempFramebuffers[index2] = tempFramebuffers[index2] || createFramebufferTexture(fxcanvas.width, fxcanvas.height); + return tempFramebuffers[index2]; + } + function draw(flags = 0) { + if (!currentProgram) + return; + let source = null; + let target = null; + let flipY = false; + if (drawCount === 0) + source = sourceTexture; + else + source = getTempFramebuffer(currentFramebufferIndex).texture || null; + drawCount++; + if (lastInChain && !(flags & DRAW.INTERMEDIATE)) { + target = null; + flipY = drawCount % 2 === 0; + } else { + currentFramebufferIndex = (currentFramebufferIndex + 1) % 2; + target = getTempFramebuffer(currentFramebufferIndex).fbo || null; + } + gl.bindTexture(gl.TEXTURE_2D, source); + gl.bindFramebuffer(gl.FRAMEBUFFER, target); + gl.uniform1f(currentProgram.uniform["flipY"], flipY ? -1 : 1); + gl.drawArrays(gl.TRIANGLES, 0, 6); + } + function compileShader(fragmentSource) { + if (shaderProgramCache[fragmentSource]) { + currentProgram = shaderProgramCache[fragmentSource]; + gl.useProgram((currentProgram ? currentProgram.id : null) || null); + return currentProgram; + } + currentProgram = new GLProgram(gl, vertexIdentity, fragmentSource); + if (!currentProgram) { + log("filter: could not get webgl program"); + return null; + } + const floatSize = Float32Array.BYTES_PER_ELEMENT; + const vertSize = 4 * floatSize; + gl.enableVertexAttribArray(currentProgram.attribute["pos"]); + gl.vertexAttribPointer(currentProgram.attribute["pos"], 2, gl.FLOAT, false, vertSize, 0 * floatSize); + gl.enableVertexAttribArray(currentProgram.attribute["uv"]); + gl.vertexAttribPointer(currentProgram.attribute["uv"], 2, gl.FLOAT, false, vertSize, 2 * floatSize); + shaderProgramCache[fragmentSource] = currentProgram; + return currentProgram; + } + const filter = { + colorMatrix: (matrix) => { + const m = new Float32Array(matrix); + m[4] /= 255; + m[9] /= 255; + m[14] /= 255; + m[19] /= 255; + const shader = m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0 ? colorMatrixWithoutAlpha : colorMatrixWithAlpha; + const program = compileShader(shader); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + draw(); + }, + brightness: (brightness) => { + const b = (brightness || 0) + 1; + filter.colorMatrix([ + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + b, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + saturation: (amount) => { + const x = (amount || 0) * 2 / 3 + 1; + const y = (x - 1) * -0.5; + filter.colorMatrix([ + x, + y, + y, + 0, + 0, + y, + x, + y, + 0, + 0, + y, + y, + x, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturate: () => { + filter.saturation(-1); + }, + contrast: (amount) => { + const v = (amount || 0) + 1; + const o = -128 * (v - 1); + filter.colorMatrix([ + v, + 0, + 0, + 0, + o, + 0, + v, + 0, + 0, + o, + 0, + 0, + v, + 0, + o, + 0, + 0, + 0, + 1, + 0 + ]); + }, + negative: () => { + filter.contrast(-2); + }, + hue: (rotation) => { + rotation = (rotation || 0) / 180 * Math.PI; + const cos = Math.cos(rotation); + const sin = Math.sin(rotation); + const lumR = 0.213; + const lumG = 0.715; + const lumB = 0.072; + filter.colorMatrix([ + lumR + cos * (1 - lumR) + sin * -lumR, + lumG + cos * -lumG + sin * -lumG, + lumB + cos * -lumB + sin * (1 - lumB), + 0, + 0, + lumR + cos * -lumR + sin * 0.143, + lumG + cos * (1 - lumG) + sin * 0.14, + lumB + cos * -lumB + sin * -0.283, + 0, + 0, + lumR + cos * -lumR + sin * -(1 - lumR), + lumG + cos * -lumG + sin * lumG, + lumB + cos * (1 - lumB) + sin * lumB, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + desaturateLuminance: () => { + filter.colorMatrix([ + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0.2764723, + 0.929708, + 0.0938197, + 0, + -37.1, + 0, + 0, + 0, + 1, + 0 + ]); + }, + sepia: () => { + filter.colorMatrix([ + 0.393, + 0.7689999, + 0.18899999, + 0, + 0, + 0.349, + 0.6859999, + 0.16799999, + 0, + 0, + 0.272, + 0.5339999, + 0.13099999, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + brownie: () => { + filter.colorMatrix([ + 0.5997023498159715, + 0.34553243048391263, + -0.2708298674538042, + 0, + 47.43192855600873, + -0.037703249837783157, + 0.8609577587992641, + 0.15059552388459913, + 0, + -36.96841498319127, + 0.24113635128153335, + -0.07441037908422492, + 0.44972182064877153, + 0, + -7.562075277591283, + 0, + 0, + 0, + 1, + 0 + ]); + }, + vintagePinhole: () => { + filter.colorMatrix([ + 0.6279345635605994, + 0.3202183420819367, + -0.03965408211312453, + 0, + 9.651285835294123, + 0.02578397704808868, + 0.6441188644374771, + 0.03259127616149294, + 0, + 7.462829176470591, + 0.0466055556782719, + -0.0851232987247891, + 0.5241648018700465, + 0, + 5.159190588235296, + 0, + 0, + 0, + 1, + 0 + ]); + }, + kodachrome: () => { + filter.colorMatrix([ + 1.1285582396593525, + -0.3967382283601348, + -0.03992559172921793, + 0, + 63.72958762196502, + -0.16404339962244616, + 1.0835251566291304, + -0.05498805115633132, + 0, + 24.732407896706203, + -0.16786010706155763, + -0.5603416277695248, + 1.6014850761964943, + 0, + 35.62982807460946, + 0, + 0, + 0, + 1, + 0 + ]); + }, + technicolor: () => { + filter.colorMatrix([ + 1.9125277891456083, + -0.8545344976951645, + -0.09155508482755585, + 0, + 11.793603434377337, + -0.3087833385928097, + 1.7658908555458428, + -0.10601743074722245, + 0, + -70.35205161461398, + -0.231103377548616, + -0.7501899197440212, + 1.847597816108189, + 0, + 30.950940869491138, + 0, + 0, + 0, + 1, + 0 + ]); + }, + polaroid: () => { + filter.colorMatrix([ + 1.438, + -0.062, + -0.062, + 0, + 0, + -0.122, + 1.378, + -0.122, + 0, + 0, + -0.016, + -0.016, + 1.483, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + shiftToBGR: () => { + filter.colorMatrix([ + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 0 + ]); + }, + convolution: (matrix) => { + const m = new Float32Array(matrix); + const pixelSizeX = 1 / fxcanvas.width; + const pixelSizeY = 1 / fxcanvas.height; + const program = compileShader(convolution); + if (!program) + return; + gl.uniform1fv(program.uniform["m"], m); + gl.uniform2f(program.uniform["px"], pixelSizeX, pixelSizeY); + draw(); + }, + detectEdges: () => { + filter.convolution.call(this, [ + 0, + 1, + 0, + 1, + -4, + 1, + 0, + 1, + 0 + ]); + }, + sobelX: () => { + filter.convolution.call(this, [ + -1, + 0, + 1, + -2, + 0, + 2, + -1, + 0, + 1 + ]); + }, + sobelY: () => { + filter.convolution.call(this, [ + -1, + -2, + -1, + 0, + 0, + 0, + 1, + 2, + 1 + ]); + }, + sharpen: (amount) => { + const a = amount || 1; + filter.convolution.call(this, [ + 0, + -1 * a, + 0, + -1 * a, + 1 + 4 * a, + -1 * a, + 0, + -1 * a, + 0 + ]); + }, + emboss: (size2) => { + const s = size2 || 1; + filter.convolution.call(this, [ + -2 * s, + -1 * s, + 0, + -1 * s, + 1, + 1 * s, + 0, + 1 * s, + 2 * s + ]); + }, + blur: (size2) => { + const blurSizeX = size2 / 7 / fxcanvas.width; + const blurSizeY = size2 / 7 / fxcanvas.height; + const program = compileShader(blur); + if (!program) + return; + gl.uniform2f(program.uniform["px"], 0, blurSizeY); + draw(DRAW.INTERMEDIATE); + gl.uniform2f(program.uniform["px"], blurSizeX, 0); + draw(); + }, + pixelate: (size2) => { + const blurSizeX = size2 / fxcanvas.width; + const blurSizeY = size2 / fxcanvas.height; + const program = compileShader(pixelate); + if (!program) + return; + gl.uniform2f(program.uniform["size"], blurSizeX, blurSizeY); + draw(); + } + }; + this.add = function(name) { + const args = Array.prototype.slice.call(arguments, 1); + const func = filter[name]; + filterChain.push({ func, args }); + }; + this.reset = function() { + filterChain = []; + }; + this.get = function() { + return filterChain; + }; + this.apply = function(image28) { + resize(image28.width, image28.height); + drawCount = 0; + if (!sourceTexture) + sourceTexture = gl.createTexture(); + gl.bindTexture(gl.TEXTURE_2D, sourceTexture); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image28); + for (let i = 0; i < filterChain.length; i++) { + lastInChain = i === filterChain.length - 1; + const f = filterChain[i]; + f.func.apply(this, f.args || []); + } + return fxcanvas; + }; + this.draw = function(image28) { + this.add("brightness", 0); + return this.apply(image28); + }; +} + +// src/image/enhance.ts +var tf = __toESM(require_tfjs_esm()); +async function histogramEqualization(inputImage) { + const squeeze14 = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage; + const rgb3 = tf.split(squeeze14, 3, 2); + const min2 = [tf.min(rgb3[0]), tf.min(rgb3[1]), tf.min(rgb3[2])]; + const max5 = [tf.max(rgb3[0]), tf.max(rgb3[1]), tf.max(rgb3[2])]; + const absMax = await Promise.all(max5.map((channel) => channel.data())); + const maxValue = Math.max(absMax[0][0], absMax[1][0], absMax[2][0]); + const maxRange = maxValue > 1 ? 255 : 1; + const factor = maxRange / maxValue; + let final; + if (factor > 1) { + const sub11 = [tf.sub(rgb3[0], min2[0]), tf.sub(rgb3[1], min2[1]), tf.sub(rgb3[2], min2[2])]; + const range = [tf.sub(max5[0], min2[0]), tf.sub(max5[1], min2[1]), tf.sub(max5[2], min2[2])]; + const enh = [tf.mul(sub11[0], factor), tf.mul(sub11[1], factor), tf.mul(sub11[2], factor)]; + const stack5 = tf.stack([enh[0], enh[1], enh[2]], 2); + final = tf.reshape(stack5, [1, squeeze14.shape[0] || 0, squeeze14.shape[1] || 0, 3]); + tf.dispose([...sub11, ...range, ...enh, stack5]); + } else { + final = tf.expandDims(squeeze14, 0); + } + tf.dispose([...rgb3, ...min2, ...max5, rgb3, squeeze14, inputImage]); + return final; +} + +// src/image/image.ts +var maxSize = 3840; +var inCanvas = null; +var outCanvas = null; +var tmpCanvas = null; +var fx; +var last = { + inputSum: 0, + cacheDiff: 1, + sumMethod: 0, + inputTensor: void 0 +}; +function reset() { + last.inputSum = 0; + last.cacheDiff = 1; + last.sumMethod = 0; + last.inputTensor = void 0; +} +function canvas(width, height) { + let c; + if (env.browser) { + if (env.worker) { + if (typeof OffscreenCanvas === "undefined") + throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported"); + c = new OffscreenCanvas(width, height); + } else { + if (typeof document !== "undefined") { + c = document.createElement("canvas"); + c.width = width; + c.height = height; + } else if (typeof navigator !== "undefined" && navigator.product === "ReactNative") { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + else + throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed"); + } else { + throw new Error("canvas error: attempted to run in browser but DOM is not defined"); + } + } + } else { + if (typeof env.Canvas !== "undefined") + c = new env.Canvas(width, height); + else if (typeof globalThis.Canvas !== "undefined") + c = new globalThis.Canvas(width, height); + } + return c; +} +function copy(input, output) { + const outputCanvas = output || canvas(input.width, input.height); + const ctx = outputCanvas.getContext("2d"); + ctx.drawImage(input, 0, 0); + return outputCanvas; +} +async function process2(input, config3, getTensor = true) { + var _a, _b, _c; + if (!input) { + if (config3.debug) + log("input error: input is missing"); + return { tensor: null, canvas: null }; + } + if (!(input instanceof tf2.Tensor) && !(typeof Image !== "undefined" && input instanceof Image) && !(typeof globalThis.Canvas !== "undefined" && input instanceof globalThis.Canvas) && !(typeof ImageData !== "undefined" && input instanceof ImageData) && !(typeof ImageBitmap !== "undefined" && input instanceof ImageBitmap) && !(typeof HTMLImageElement !== "undefined" && input instanceof HTMLImageElement) && !(typeof HTMLMediaElement !== "undefined" && input instanceof HTMLMediaElement) && !(typeof HTMLVideoElement !== "undefined" && input instanceof HTMLVideoElement) && !(typeof HTMLCanvasElement !== "undefined" && input instanceof HTMLCanvasElement) && !(typeof OffscreenCanvas !== "undefined" && input instanceof OffscreenCanvas)) { + throw new Error("input error: type not recognized"); + } + if (input instanceof tf2.Tensor) { + let tensor7 = null; + if (input["isDisposedInternal"]) + throw new Error("input error: attempted to use tensor but it is disposed"); + if (!input.shape) + throw new Error("input error: attempted to use tensor without a shape"); + if (input.shape.length === 3) { + if (input.shape[2] === 3) { + tensor7 = tf2.expandDims(input, 0); + } else if (input.shape[2] === 4) { + const rgb3 = tf2.slice3d(input, [0, 0, 0], [-1, -1, 3]); + tensor7 = tf2.expandDims(rgb3, 0); + tf2.dispose(rgb3); + } + } else if (input.shape.length === 4) { + if (input.shape[3] === 3) { + tensor7 = tf2.clone(input); + } else if (input.shape[3] === 4) { + tensor7 = tf2.slice4d(input, [0, 0, 0, 0], [-1, -1, -1, 3]); + } + } + if (tensor7 == null || tensor7.shape.length !== 4 || tensor7.shape[0] !== 1 || tensor7.shape[3] !== 3) + throw new Error(`input error: attempted to use tensor with unrecognized shape: ${input.shape.toString()}`); + if (tensor7.dtype === "int32") { + const cast8 = tf2.cast(tensor7, "float32"); + tf2.dispose(tensor7); + tensor7 = cast8; + } + return { tensor: tensor7, canvas: config3.filter.return ? outCanvas : null }; + } + if (typeof input["readyState"] !== "undefined" && input.readyState <= 2) { + if (config3.debug) + log("input stream is not ready"); + return { tensor: null, canvas: inCanvas }; + } + const originalWidth = input["naturalWidth"] || input["videoWidth"] || input["width"] || input["shape"] && input["shape"][1] > 0; + const originalHeight = input["naturalHeight"] || input["videoHeight"] || input["height"] || input["shape"] && input["shape"][2] > 0; + if (!originalWidth || !originalHeight) { + if (config3.debug) + log("cannot determine input dimensions"); + return { tensor: null, canvas: inCanvas }; + } + let targetWidth = originalWidth; + let targetHeight = originalHeight; + if (targetWidth > maxSize) { + targetWidth = maxSize; + targetHeight = Math.trunc(targetWidth * originalHeight / originalWidth); + } + if (targetHeight > maxSize) { + targetHeight = maxSize; + targetWidth = Math.trunc(targetHeight * originalWidth / originalHeight); + } + if ((((_a = config3.filter) == null ? void 0 : _a.width) || 0) > 0) + targetWidth = config3.filter.width; + else if ((((_b = config3.filter) == null ? void 0 : _b.height) || 0) > 0) + targetWidth = originalWidth * ((config3.filter.height || 0) / originalHeight); + if ((config3.filter.height || 0) > 0) + targetHeight = config3.filter.height; + else if ((config3.filter.width || 0) > 0) + targetHeight = originalHeight * ((config3.filter.width || 0) / originalWidth); + if (!targetWidth || !targetHeight) + throw new Error("input error: cannot determine dimension"); + if (!inCanvas || inCanvas.width !== targetWidth || inCanvas.height !== targetHeight) + inCanvas = canvas(targetWidth, targetHeight); + const inCtx = inCanvas.getContext("2d"); + if (typeof ImageData !== "undefined" && input instanceof ImageData) { + inCtx.putImageData(input, 0, 0); + } else { + if (config3.filter.flip && typeof inCtx.translate !== "undefined") { + inCtx.translate(originalWidth, 0); + inCtx.scale(-1, 1); + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + inCtx.setTransform(1, 0, 0, 1, 0, 0); + } else { + inCtx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height); + } + } + if (!outCanvas || inCanvas.width !== outCanvas.width || inCanvas.height !== outCanvas.height) + outCanvas = canvas(inCanvas.width, inCanvas.height); + if (config3.filter.enabled && env.webgl.supported) { + if (!fx) + fx = env.browser ? new GLImageFilter() : null; + env.filter = !!fx; + if (!(fx == null ? void 0 : fx.add)) { + if (config3.debug) + log("input process error: cannot initialize filters"); + env.webgl.supported = false; + config3.filter.enabled = false; + copy(inCanvas, outCanvas); + } else { + fx.reset(); + if (config3.filter.brightness !== 0) + fx.add("brightness", config3.filter.brightness); + if (config3.filter.contrast !== 0) + fx.add("contrast", config3.filter.contrast); + if (config3.filter.sharpness !== 0) + fx.add("sharpen", config3.filter.sharpness); + if (config3.filter.blur !== 0) + fx.add("blur", config3.filter.blur); + if (config3.filter.saturation !== 0) + fx.add("saturation", config3.filter.saturation); + if (config3.filter.hue !== 0) + fx.add("hue", config3.filter.hue); + if (config3.filter.negative) + fx.add("negative"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.vintage) + fx.add("brownie"); + if (config3.filter.sepia) + fx.add("sepia"); + if (config3.filter.kodachrome) + fx.add("kodachrome"); + if (config3.filter.technicolor) + fx.add("technicolor"); + if (config3.filter.polaroid) + fx.add("polaroid"); + if (config3.filter.pixelate !== 0) + fx.add("pixelate", config3.filter.pixelate); + if (((_c = fx.get()) == null ? void 0 : _c.length) > 1) + outCanvas = fx.apply(inCanvas); + else + outCanvas = fx.draw(inCanvas); + } + } else { + copy(inCanvas, outCanvas); + if (fx) + fx = null; + env.filter = !!fx; + } + if (!getTensor) + return { tensor: null, canvas: outCanvas }; + if (!outCanvas) + throw new Error("canvas error: cannot create output"); + let pixels; + let depth = 3; + if (typeof ImageData !== "undefined" && input instanceof ImageData || input.data && input.width && input.height) { + if (env.browser && tf2.browser) { + pixels = tf2.browser ? tf2.browser.fromPixels(input) : null; + } else { + depth = input.data.length / input.height / input.width; + const arr = new Uint8Array(input.data.buffer); + pixels = tf2.tensor(arr, [input.height, input.width, depth], "int32"); + } + } else { + if (!tmpCanvas || outCanvas.width !== tmpCanvas.width || outCanvas.height !== tmpCanvas.height) + tmpCanvas = canvas(outCanvas.width, outCanvas.height); + if (tf2.browser && env.browser) { + if (config3.backend === "webgl" || config3.backend === "humangl" || config3.backend === "webgpu") { + pixels = tf2.browser.fromPixels(outCanvas); + } else { + tmpCanvas = copy(outCanvas); + pixels = tf2.browser.fromPixels(tmpCanvas); + } + } else { + const tempCanvas = copy(outCanvas); + const tempCtx = tempCanvas.getContext("2d"); + const tempData = tempCtx.getImageData(0, 0, targetWidth, targetHeight); + depth = tempData.data.length / targetWidth / targetHeight; + const arr = new Uint8Array(tempData.data.buffer); + pixels = tf2.tensor(arr, [targetWidth, targetHeight, depth]); + } + } + if (depth === 4) { + const rgb3 = tf2.slice3d(pixels, [0, 0, 0], [-1, -1, 3]); + tf2.dispose(pixels); + pixels = rgb3; + } + if (!pixels) + throw new Error("input error: cannot create tensor"); + const casted = tf2.cast(pixels, "float32"); + const tensor6 = config3.filter.equalization ? await histogramEqualization(casted) : tf2.expandDims(casted, 0); + tf2.dispose([pixels, casted]); + if (config3.filter.autoBrightness) { + const max5 = tf2.max(tensor6); + const maxVal = await max5.data(); + config3.filter.brightness = maxVal[0] > 1 ? 1 - maxVal[0] / 255 : 1 - maxVal[0]; + tf2.dispose(max5); + } + return { tensor: tensor6, canvas: config3.filter.return ? outCanvas : null }; +} +async function skip(config3, input) { + let skipFrame = false; + if (config3.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) + return skipFrame; + if (!last.inputTensor) { + last.inputTensor = tf2.clone(input); + } else if (last.inputTensor.shape[1] !== input.shape[1] || last.inputTensor.shape[2] !== input.shape[2]) { + tf2.dispose(last.inputTensor); + last.inputTensor = tf2.clone(input); + } else { + const t2 = {}; + t2.diff = tf2.sub(input, last.inputTensor); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input.shape[1] || 1) / (input.shape[2] || 1) / 255 / 3; + tf2.dispose([last.inputTensor, t2.diff, t2.squared, t2.sum]); + last.inputTensor = tf2.clone(input); + skipFrame = diffRelative <= (config3.cacheSensitivity || 0); + } + return skipFrame; +} +async function compare(config3, input1, input2) { + const t2 = {}; + if (!input1 || !input2 || input1.shape.length !== 4 || input1.shape.length !== input2.shape.length) { + if (!config3.debug) + log("invalid input tensor or tensor shapes do not match:", input1.shape, input2.shape); + return 0; + } + if (input1.shape[0] !== 1 || input2.shape[0] !== 1 || input1.shape[3] !== 3 || input2.shape[3] !== 3) { + if (!config3.debug) + log("input tensors must be of shape [1, height, width, 3]:", input1.shape, input2.shape); + return 0; + } + t2.input1 = tf2.clone(input1); + t2.input2 = input1.shape[1] !== input2.shape[1] || input1.shape[2] !== input2.shape[2] ? tf2.image.resizeBilinear(input2, [input1.shape[1], input1.shape[2]]) : tf2.clone(input2); + t2.diff = tf2.sub(t2.input1, t2.input2); + t2.squared = tf2.mul(t2.diff, t2.diff); + t2.sum = tf2.sum(t2.squared); + const diffSum = await t2.sum.data(); + const diffRelative = diffSum[0] / (input1.shape[1] || 1) / (input1.shape[2] || 1) / 255 / 3; + tf2.dispose([t2.input1, t2.input2, t2.diff, t2.squared, t2.sum]); + return diffRelative; +} + +// src/util/env.ts +var _canvas, _image, _imageData; +var Env = class { + constructor() { + /** Running in Browser */ + __publicField(this, "browser"); + /** Running in NodeJS */ + __publicField(this, "node"); + /** Running in WebWorker thread */ + __publicField(this, "worker"); + /** Detected platform */ + __publicField(this, "platform", ""); + /** Detected agent */ + __publicField(this, "agent", ""); + /** List of supported backends */ + __publicField(this, "backends", []); + /** Has any work been performed so far */ + __publicField(this, "initial"); + /** Are image filters supported? */ + __publicField(this, "filter"); + /** TFJS instance details */ + __publicField(this, "tfjs"); + /** Is offscreenCanvas supported? */ + __publicField(this, "offscreen"); + /** Are performance counter instant values or additive */ + __publicField(this, "perfadd", false); + /** If using tfjs-node get version of underlying tensorflow shared library and if gpu acceleration is enabled */ + __publicField(this, "tensorflow", { + version: void 0, + gpu: void 0 + }); + /** WASM detected capabilities */ + __publicField(this, "wasm", { + supported: void 0, + backend: void 0, + simd: void 0, + multithread: void 0 + }); + /** WebGL detected capabilities */ + __publicField(this, "webgl", { + supported: void 0, + backend: void 0, + version: void 0, + renderer: void 0, + shader: void 0, + vendor: void 0 + }); + /** WebGPU detected capabilities */ + __publicField(this, "webgpu", { + supported: void 0, + backend: void 0, + adapter: void 0 + }); + /** CPU info */ + __publicField(this, "cpu", { + model: void 0, + flags: [] + }); + /** List of supported kernels for current backend */ + __publicField(this, "kernels", []); + /** MonkeyPatch for Canvas/Image/ImageData */ + __privateAdd(this, _canvas, void 0); + __privateAdd(this, _image, void 0); + __privateAdd(this, _imageData, void 0); + this.browser = typeof navigator !== "undefined"; + this.node = typeof process !== "undefined" && typeof process.versions !== "undefined" && typeof process.versions.node !== "undefined"; + this.tfjs = { version: tf3.version["tfjs-core"] }; + this.offscreen = typeof OffscreenCanvas !== "undefined"; + this.initial = true; + this.worker = this.browser && this.offscreen ? typeof WorkerGlobalScope !== "undefined" : void 0; + if (typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined") { + const agent = navigator.userAgent || ""; + const raw = agent.match(/\(([^()]+)\)/g); + if (raw == null ? void 0 : raw[0]) { + const platformMatch = raw[0].match(/\(([^()]+)\)/g); + this.platform = (platformMatch == null ? void 0 : platformMatch[0]) ? platformMatch[0].replace(/\(|\)/g, "") : ""; + this.agent = agent.replace(raw[0], ""); + if (this.platform[1]) + this.agent = this.agent.replace(raw[1], ""); + this.agent = this.agent.replace(/ /g, " "); + } + } else if (typeof process !== "undefined") { + this.platform = `${process.platform} ${process.arch}`; + this.agent = `NodeJS ${process.version}`; + } + } + get Canvas() { + return __privateGet(this, _canvas); + } + set Canvas(val) { + __privateSet(this, _canvas, val); + globalThis.Canvas = val; + } + get Image() { + return __privateGet(this, _image); + } + // @ts-ignore monkey-patch; + set Image(val) { + __privateSet(this, _image, val); + globalThis.Image = val; + } + get ImageData() { + return __privateGet(this, _imageData); + } + // @ts-ignore monkey-patch; + set ImageData(val) { + __privateSet(this, _imageData, val); + globalThis.ImageData = val; + } + /** update backend information */ + async updateBackend() { + this.backends = Object.keys(tf3.engine().registryFactory); + try { + this.tensorflow = { + version: tf3.backend()["binding"] ? tf3.backend()["binding"].TF_Version : void 0, + gpu: tf3.backend()["binding"] ? tf3.backend()["binding"].isUsingGpuDevice() : void 0 + }; + } catch (e) { + } + this.wasm.supported = typeof WebAssembly !== "undefined"; + this.wasm.backend = this.backends.includes("wasm"); + if (this.wasm.supported && this.wasm.backend) { + this.wasm.simd = await tf3.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + this.wasm.multithread = await tf3.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + } + const c = canvas(100, 100); + const gl = c ? c.getContext("webgl2") : void 0; + this.webgl.supported = typeof gl !== "undefined"; + this.webgl.backend = this.backends.includes("webgl"); + if (this.webgl.supported && this.webgl.backend && gl) { + this.webgl.version = gl.getParameter(gl.VERSION); + this.webgl.vendor = gl.getParameter(gl.VENDOR); + this.webgl.renderer = gl.getParameter(gl.RENDERER); + this.webgl.shader = gl.getParameter(gl.SHADING_LANGUAGE_VERSION); + } + this.webgpu.supported = this.browser && typeof navigator !== "undefined" && typeof navigator.gpu !== "undefined"; + this.webgpu.backend = this.backends.includes("webgpu"); + try { + if (this.webgpu.supported) { + const adapter = await navigator.gpu.requestAdapter(); + this.webgpu.adapter = await (adapter == null ? void 0 : adapter.requestAdapterInfo()); + } + } catch (e) { + this.webgpu.supported = false; + } + try { + this.kernels = tf3.getKernelsForBackend(tf3.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); + } catch (e) { + } + } + /** update cpu information */ + updateCPU() { + const cpu = { model: "", flags: [] }; + if (this.node && this.platform.startsWith("linux")) { + } + if (!this.cpu) + Object.defineProperty(this, "cpu", { value: cpu }); + else + this.cpu = cpu; + } +}; +_canvas = new WeakMap(); +_image = new WeakMap(); +_imageData = new WeakMap(); +var env = new Env(); + +// src/util/webcam.ts +var WebCam = class { + constructor() { + // eslint-disable-line @typescript-eslint/no-extraneous-class + /** current webcam configuration */ + __publicField(this, "config"); + /** instance of dom element associated with webcam stream */ + __publicField(this, "element"); + /** active webcam stream */ + __publicField(this, "stream"); + /** enumerated video devices */ + __publicField(this, "devices", []); + __publicField(this, "enumerate", async () => { + try { + const devices = await navigator.mediaDevices.enumerateDevices(); + this.devices = devices.filter((device) => device.kind === "videoinput"); + } catch (e) { + this.devices = []; + } + return this.devices; + }); + /** start method initializizes webcam stream and associates it with a dom video element */ + __publicField(this, "start", async (webcamConfig) => { + var _a, _b; + if (webcamConfig == null ? void 0 : webcamConfig.debug) + this.config.debug = webcamConfig == null ? void 0 : webcamConfig.debug; + if (webcamConfig == null ? void 0 : webcamConfig.crop) + this.config.crop = webcamConfig == null ? void 0 : webcamConfig.crop; + if (webcamConfig == null ? void 0 : webcamConfig.mode) + this.config.mode = webcamConfig == null ? void 0 : webcamConfig.mode; + if (webcamConfig == null ? void 0 : webcamConfig.width) + this.config.width = webcamConfig == null ? void 0 : webcamConfig.width; + if (webcamConfig == null ? void 0 : webcamConfig.height) + this.config.height = webcamConfig == null ? void 0 : webcamConfig.height; + if (webcamConfig == null ? void 0 : webcamConfig.id) + this.config.id = webcamConfig == null ? void 0 : webcamConfig.id; + if (webcamConfig == null ? void 0 : webcamConfig.element) { + if (typeof webcamConfig.element === "string") { + const el = document.getElementById(webcamConfig.element); + if (el && el instanceof HTMLVideoElement) { + this.element = el; + } else { + if (this.config.debug) + log("webcam", "cannot get dom element", webcamConfig.element); + return; + } + } else if (webcamConfig.element instanceof HTMLVideoElement) { + this.element = webcamConfig.element; + } else { + if (this.config.debug) + log("webcam", "unknown dom element", webcamConfig.element); + return; + } + } else { + this.element = document.createElement("video"); + } + const requestedConstraints = { + audio: false, + video: { + facingMode: this.config.mode === "front" ? "user" : "environment", + // @ts-ignore // resizeMode is still not defined in tslib + resizeMode: this.config.crop ? "crop-and-scale" : "none" + } + }; + if (((_a = this.config) == null ? void 0 : _a.width) > 0) + requestedConstraints.video.width = { ideal: this.config.width }; + if (((_b = this.config) == null ? void 0 : _b.height) > 0) + requestedConstraints.video.height = { ideal: this.config.height }; + if (this.config.id) + requestedConstraints.video.deviceId = this.config.id; + this.element.addEventListener("play", () => { + if (this.config.debug) + log("webcam", "play"); + }); + this.element.addEventListener("pause", () => { + if (this.config.debug) + log("webcam", "pause"); + }); + this.element.addEventListener("click", async () => { + if (!this.element || !this.stream) + return; + if (this.element.paused) + await this.element.play(); + else + this.element.pause(); + }); + if (!(navigator == null ? void 0 : navigator.mediaDevices)) { + if (this.config.debug) + log("webcam", "no devices"); + return; + } + try { + this.stream = await navigator.mediaDevices.getUserMedia(requestedConstraints); + } catch (err) { + log("webcam", err); + return; + } + if (!this.stream) { + if (this.config.debug) + log("webcam", "no stream"); + return; + } + this.element.srcObject = this.stream; + const ready3 = new Promise((resolve) => { + if (!this.element) + resolve(false); + else + this.element.onloadeddata = () => resolve(true); + }); + await ready3; + await this.element.play(); + if (this.config.debug) { + log("webcam", { + width: this.width, + height: this.height, + label: this.label, + stream: this.stream, + track: this.track, + settings: this.settings, + constraints: this.constraints, + capabilities: this.capabilities + }); + } + }); + /** pause webcam video method */ + __publicField(this, "pause", () => { + if (this.element) + this.element.pause(); + }); + /** play webcam video method */ + __publicField(this, "play", async () => { + if (this.element) + await this.element.play(); + }); + /** stop method stops active webcam stream track and disconnects webcam */ + __publicField(this, "stop", () => { + if (this.config.debug) + log("webcam", "stop"); + if (this.track) + this.track.stop(); + }); + this.config = { + element: void 0, + debug: true, + mode: "front", + crop: false, + width: 0, + height: 0 + }; + } + /** get active webcam stream track */ + get track() { + if (!this.stream) + return void 0; + return this.stream.getVideoTracks()[0]; + } + /** get webcam capabilities */ + get capabilities() { + if (!this.track) + return void 0; + return this.track.getCapabilities ? this.track.getCapabilities() : void 0; + } + /** get webcam constraints */ + get constraints() { + if (!this.track) + return void 0; + return this.track.getConstraints ? this.track.getConstraints() : void 0; + } + /** get webcam settings */ + get settings() { + if (!this.stream) + return void 0; + const track = this.stream.getVideoTracks()[0]; + return track.getSettings ? track.getSettings() : void 0; + } + /** get webcam label */ + get label() { + if (!this.track) + return ""; + return this.track.label; + } + /** is webcam paused */ + get paused() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.paused) || false; + } + /** webcam current width */ + get width() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoWidth) || 0; + } + /** webcam current height */ + get height() { + var _a; + return ((_a = this.element) == null ? void 0 : _a.videoHeight) || 0; + } +}; + +// src/tfjs/load.ts +var tf4 = __toESM(require_tfjs_esm()); + +// models/models.json +var models_exports = {}; +__export(models_exports, { + "affectnet-mobilenet": () => affectnet_mobilenet, + age: () => age, + "anti-spoofing": () => anti_spoofing, + antispoof: () => antispoof, + blazeface: () => blazeface, + "blazeface-back": () => blazeface_back, + "blazeface-front": () => blazeface_front, + "blazepose-detector": () => blazepose_detector, + "blazepose-full": () => blazepose_full, + "blazepose-heavy": () => blazepose_heavy, + "blazepose-lite": () => blazepose_lite, + centernet: () => centernet, + default: () => models_default, + efficientpose: () => efficientpose, + "efficientpose-i-lite": () => efficientpose_i_lite, + "efficientpose-ii-lite": () => efficientpose_ii_lite, + "efficientpose-iv": () => efficientpose_iv, + emotion: () => emotion, + faceboxes: () => faceboxes, + facemesh: () => facemesh, + "facemesh-attention": () => facemesh_attention, + "facemesh-attention-pinto": () => facemesh_attention_pinto, + "facemesh-detection-full": () => facemesh_detection_full, + "facemesh-detection-short": () => facemesh_detection_short, + faceres: () => faceres, + "faceres-deep": () => faceres_deep, + gear: () => gear, + "gear-e1": () => gear_e1, + "gear-e2": () => gear_e2, + gender: () => gender, + "gender-ssrnet-imdb": () => gender_ssrnet_imdb, + handdetect: () => handdetect, + "handlandmark-full": () => handlandmark_full, + "handlandmark-lite": () => handlandmark_lite, + "handlandmark-sparse": () => handlandmark_sparse, + handskeleton: () => handskeleton, + handtrack: () => handtrack, + "insightface-efficientnet-b0": () => insightface_efficientnet_b0, + "insightface-ghostnet-strides1": () => insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": () => insightface_ghostnet_strides2, + "insightface-mobilenet-emore": () => insightface_mobilenet_emore, + "insightface-mobilenet-swish": () => insightface_mobilenet_swish, + iris: () => iris, + liveness: () => liveness, + meet: () => meet, + mobileface: () => mobileface, + mobilefacenet: () => mobilefacenet, + models: () => models, + "movenet-lightning": () => movenet_lightning, + "movenet-multipose": () => movenet_multipose, + "movenet-thunder": () => movenet_thunder, + nanodet: () => nanodet, + "nanodet-e": () => nanodet_e, + "nanodet-g": () => nanodet_g, + "nanodet-m": () => nanodet_m, + "nanodet-t": () => nanodet_t, + posenet: () => posenet, + rvm: () => rvm, + selfie: () => selfie +}); +var antispoof = 853098; +var blazeface = 538928; +var centernet = 4030290; +var emotion = 820516; +var facemesh = 1477958; +var faceres = 6978814; +var handlandmark_lite = 2023432; +var handtrack = 2964837; +var iris = 2599092; +var liveness = 592976; +var models = 0; +var movenet_lightning = 4650216; +var affectnet_mobilenet = 6920630; +var age = 161240; +var blazeface_back = 538928; +var blazeface_front = 402048; +var blazepose_detector = 5928856; +var blazepose_full = 6339202; +var blazepose_heavy = 27502466; +var blazepose_lite = 2726402; +var efficientpose = 5651240; +var faceboxes = 2013002; +var facemesh_attention_pinto = 2387598; +var facemesh_attention = 2382414; +var facemesh_detection_full = 1026192; +var facemesh_detection_short = 201268; +var faceres_deep = 13957620; +var gear_e1 = 112438; +var gear_e2 = 112438; +var gear = 1498916; +var gender_ssrnet_imdb = 161236; +var gender = 201808; +var handdetect = 3515612; +var handlandmark_full = 5431368; +var handlandmark_sparse = 5286322; +var handskeleton = 5502280; +var meet = 372228; +var mobileface = 2183192; +var mobilefacenet = 5171976; +var movenet_multipose = 9448838; +var movenet_thunder = 12477112; +var nanodet = 7574558; +var posenet = 5032780; +var rvm = 3739355; +var selfie = 212886; +var anti_spoofing = 853098; +var efficientpose_i_lite = 2269064; +var efficientpose_ii_lite = 5651240; +var efficientpose_iv = 25643252; +var insightface_efficientnet_b0 = 13013224; +var insightface_ghostnet_strides1 = 8093408; +var insightface_ghostnet_strides2 = 8049584; +var insightface_mobilenet_emore = 6938536; +var insightface_mobilenet_swish = 12168584; +var nanodet_e = 12319156; +var nanodet_g = 7574558; +var nanodet_m = 1887474; +var nanodet_t = 5294216; +var models_default = { + antispoof, + blazeface, + centernet, + emotion, + facemesh, + faceres, + "handlandmark-lite": handlandmark_lite, + handtrack, + iris, + liveness, + models, + "movenet-lightning": movenet_lightning, + "affectnet-mobilenet": affectnet_mobilenet, + age, + "blazeface-back": blazeface_back, + "blazeface-front": blazeface_front, + "blazepose-detector": blazepose_detector, + "blazepose-full": blazepose_full, + "blazepose-heavy": blazepose_heavy, + "blazepose-lite": blazepose_lite, + efficientpose, + faceboxes, + "facemesh-attention-pinto": facemesh_attention_pinto, + "facemesh-attention": facemesh_attention, + "facemesh-detection-full": facemesh_detection_full, + "facemesh-detection-short": facemesh_detection_short, + "faceres-deep": faceres_deep, + "gear-e1": gear_e1, + "gear-e2": gear_e2, + gear, + "gender-ssrnet-imdb": gender_ssrnet_imdb, + gender, + handdetect, + "handlandmark-full": handlandmark_full, + "handlandmark-sparse": handlandmark_sparse, + handskeleton, + meet, + mobileface, + mobilefacenet, + "movenet-multipose": movenet_multipose, + "movenet-thunder": movenet_thunder, + nanodet, + posenet, + rvm, + selfie, + "anti-spoofing": anti_spoofing, + "efficientpose-i-lite": efficientpose_i_lite, + "efficientpose-ii-lite": efficientpose_ii_lite, + "efficientpose-iv": efficientpose_iv, + "insightface-efficientnet-b0": insightface_efficientnet_b0, + "insightface-ghostnet-strides1": insightface_ghostnet_strides1, + "insightface-ghostnet-strides2": insightface_ghostnet_strides2, + "insightface-mobilenet-emore": insightface_mobilenet_emore, + "insightface-mobilenet-swish": insightface_mobilenet_swish, + "nanodet-e": nanodet_e, + "nanodet-g": nanodet_g, + "nanodet-m": nanodet_m, + "nanodet-t": nanodet_t +}; + +// src/tfjs/load.ts +var options = { + cacheModels: true, + cacheSupported: true, + verbose: true, + debug: false, + modelBasePath: "" +}; +var modelStats = {}; +async function httpHandler(url, init4) { + if (options.debug) + log("load model fetch:", url, init4); + return fetch(url, init4); +} +function setModelLoadOptions(config3) { + options.cacheModels = config3.cacheModels; + options.verbose = config3.debug; + options.modelBasePath = config3.modelBasePath; +} +async function loadModel(modelPath) { + var _a, _b, _c, _d; + let modelUrl = join(options.modelBasePath, modelPath || ""); + if (!modelUrl.toLowerCase().endsWith(".json")) + modelUrl += ".json"; + const modelPathSegments = modelUrl.includes("/") ? modelUrl.split("/") : modelUrl.split("\\"); + const shortModelName = modelPathSegments[modelPathSegments.length - 1].replace(".json", ""); + const cachedModelName = "indexeddb://" + shortModelName; + modelStats[shortModelName] = { + name: shortModelName, + sizeFromManifest: 0, + sizeLoadedWeights: 0, + sizeDesired: models_exports[shortModelName], + inCache: false, + url: "" + }; + options.cacheSupported = typeof indexedDB !== "undefined"; + let cachedModels = {}; + try { + cachedModels = options.cacheSupported && options.cacheModels ? await tf4.io.listModels() : {}; + } catch (e) { + options.cacheSupported = false; + } + modelStats[shortModelName].inCache = options.cacheSupported && options.cacheModels && Object.keys(cachedModels).includes(cachedModelName); + modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl; + const tfLoadOptions = typeof fetch === "undefined" ? {} : { fetchFunc: (url, init4) => httpHandler(url, init4) }; + let model23 = new tf4.GraphModel(modelStats[shortModelName].url, tfLoadOptions); + let loaded = false; + try { + model23.findIOHandler(); + if (options.debug) + log("model load handler:", model23["handler"]); + } catch (err) { + log("error finding model i/o handler:", modelUrl, err); + } + try { + const artifacts = await ((_a = model23.handler) == null ? void 0 : _a.load()) || null; + modelStats[shortModelName].sizeFromManifest = ((_b = artifacts == null ? void 0 : artifacts.weightData) == null ? void 0 : _b.byteLength) || 0; + if (artifacts) + model23.loadSync(artifacts); + else + model23 = await tf4.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions); + modelStats[shortModelName].sizeLoadedWeights = ((_d = (_c = model23.artifacts) == null ? void 0 : _c.weightData) == null ? void 0 : _d.byteLength) || 0; + if (options.verbose) + log("load:", { model: shortModelName, url: model23["modelUrl"], bytes: modelStats[shortModelName].sizeLoadedWeights }); + loaded = true; + } catch (err) { + log("error loading model:", modelUrl, err); + } + if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { + try { + const saveResult = await model23.save(cachedModelName); + if (options.debug) + log("model saved:", cachedModelName, saveResult); + } catch (err) { + log("error saving model:", modelUrl, err); + } + } + return model23; +} + +// package.json +var version2 = "3.0.6"; + +// src/tfjs/backend.ts +var tf7 = __toESM(require_tfjs_esm()); + +// src/tfjs/humangl.ts +var tf5 = __toESM(require_tfjs_esm()); +var config2 = { + name: "humangl", + priority: 999, + canvas: null, + gl: null, + extensions: [], + webGLattr: { + // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2 + alpha: false, + antialias: false, + premultipliedAlpha: false, + preserveDrawingBuffer: false, + depth: false, + stencil: false, + failIfMajorPerformanceCaveat: false, + // default=true + desynchronized: true + // default=undefined + } +}; +function extensions() { + const gl = config2.gl; + if (!gl) + return; + config2.extensions = gl.getSupportedExtensions(); +} +function register(instance) { + var _a; + if (instance.config.backend !== "humangl") + return; + if (config2.name in tf5.engine().registry && !((_a = config2 == null ? void 0 : config2.gl) == null ? void 0 : _a.getParameter(config2.gl.VERSION))) { + log("humangl error: backend invalid context"); + instance.models.reset(); + } + if (!tf5.findBackend(config2.name)) { + try { + config2.canvas = canvas(100, 100); + } catch (err) { + log("humangl error: cannot create canvas:", err); + return; + } + try { + config2.gl = config2.canvas.getContext("webgl2", config2.webGLattr); + if (!config2.gl) { + log("humangl error: cannot get webgl context"); + return; + } + const glv2 = config2.gl.getParameter(config2.gl.VERSION).includes("2.0"); + if (!glv2) { + log("backend override: using fallback webgl backend as webgl 2.0 is not detected"); + instance.config.backend = "webgl"; + return; + } + if (config2.canvas) { + config2.canvas.addEventListener("webglcontextlost", (e) => { + log("humangl error:", e.type); + log("possible browser memory leak using webgl or conflict with multiple backend registrations"); + instance.emit("error"); + throw new Error("backend error: webgl context lost"); + }); + config2.canvas.addEventListener("webglcontextrestored", (e) => { + log("humangl error: context restored:", e); + }); + config2.canvas.addEventListener("webglcontextcreationerror", (e) => { + log("humangl error: context create:", e); + }); + } + } catch (err) { + log("humangl error: cannot get webgl context:", err); + return; + } + try { + tf5.setWebGLContext(2, config2.gl); + } catch (err) { + log("humangl error: cannot set webgl context:", err); + return; + } + try { + const ctx = new tf5.GPGPUContext(config2.gl); + tf5.registerBackend(config2.name, () => new tf5.MathBackendWebGL(ctx), config2.priority); + } catch (err) { + log("humangl error: cannot register webgl backend:", err); + return; + } + try { + const kernels = tf5.getKernelsForBackend("webgl"); + kernels.forEach((kernelConfig) => { + const newKernelConfig = { ...kernelConfig, backendName: config2.name }; + tf5.registerKernel(newKernelConfig); + }); + } catch (err) { + log("humangl error: cannot update webgl backend registration:", err); + return; + } + try { + if (tf5.env().flagRegistry.WEBGL_VERSION) + tf5.env().set("WEBGL_VERSION", 2); + } catch (err) { + log("humangl error: cannot set WebGL backend flags:", err); + return; + } + extensions(); + const backend4 = tf5.backend(); + const current = typeof backend4["gpgpu"] !== "undefined" ? backend4["getGPGPUContext"]().gl : null; + if (current) { + if (instance.config.debug) + log("humangl backend registered:", { webgl: current.getParameter(current.VERSION), renderer: current.getParameter(current.RENDERER) }); + } else { + log("humangl error: no current gl context:", current, config2.gl); + } + } +} + +// src/tfjs/constants.ts +var tf6 = __toESM(require_tfjs_esm()); +var constants = { + tf255: 255, + tf1: 1, + tf2: 2, + tf05: 0.5, + tf127: 127.5, + rgb: [0.2989, 0.587, 0.114] +}; +function init() { + constants.tf255 = tf6.scalar(255, "float32"); + constants.tf1 = tf6.scalar(1, "float32"); + constants.tf2 = tf6.scalar(2, "float32"); + constants.tf05 = tf6.scalar(0.5, "float32"); + constants.tf127 = tf6.scalar(127.5, "float32"); + constants.rgb = tf6.tensor1d([0.2989, 0.587, 0.114], "float32"); +} + +// src/tfjs/backend.ts +async function getBestBackend() { + var _a; + await env.updateBackend(); + if ((_a = env.tensorflow) == null ? void 0 : _a.version) + return "tensorflow"; + if (env.webgpu.supported && env.webgpu.backend) + return "webgpu"; + if (env.webgl.supported && env.webgl.backend) + return "webgl"; + if (env.wasm.supported && env.wasm.backend) + return "wasm"; + return "cpu"; +} +function registerCustomOps(config3) { + const newKernels = []; + if (!env.kernels.includes("mod")) { + const kernelMod = { + kernelName: "Mod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.sub(op.inputs.a, tf7.mul(tf7.div(op.inputs.a, op.inputs.b), op.inputs.b))) + }; + tf7.registerKernel(kernelMod); + env.kernels.push("mod"); + newKernels.push("mod"); + } + if (!env.kernels.includes("floormod")) { + const kernelFloorMod = { + kernelName: "FloorMod", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => tf7.add(tf7.mul(tf7.floorDiv(op.inputs.a, op.inputs.b), op.inputs.b), tf7.mod(op.inputs.a, op.inputs.b))) + }; + tf7.registerKernel(kernelFloorMod); + env.kernels.push("floormod"); + newKernels.push("floormod"); + } + if (!env.kernels.includes("rotatewithoffset") && config3.softwareKernels) { + const kernelRotateWithOffset = { + kernelName: "RotateWithOffset", + backendName: tf7.getBackend(), + kernelFunc: (op) => tf7.tidy(() => { + const backend4 = tf7.getBackend(); + tf7.setBackend("cpu"); + const t2 = tf7.image.rotateWithOffset(op.inputs.image, op.attrs.radians, op.attrs.fillValue, op.attrs.center); + tf7.setBackend(backend4); + return t2; + }) + }; + tf7.registerKernel(kernelRotateWithOffset); + env.kernels.push("rotatewithoffset"); + newKernels.push("rotatewithoffset"); + } + if (newKernels.length > 0 && config3.debug) + log("registered kernels:", newKernels); +} +var defaultFlags = {}; +async function check(instance, force = false) { + var _a, _b; + instance.state = "backend"; + if (((_a = instance.config.backend) == null ? void 0 : _a.length) === 0) + instance.config.backend = await getBestBackend(); + if (force || env.initial || instance.config.backend && instance.config.backend.length > 0 && tf7.getBackend() !== instance.config.backend) { + const timeStamp = now(); + if (instance.config.backend && instance.config.backend.length > 0) { + if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) { + if (instance.config.debug) + log("running inside web worker"); + } + if (typeof navigator !== "undefined" && ((_b = navigator == null ? void 0 : navigator.userAgent) == null ? void 0 : _b.toLowerCase().includes("electron"))) { + if (instance.config.debug) + log("running inside electron"); + } + let available = Object.keys(tf7.engine().registryFactory); + if (instance.config.backend === "humangl" && !available.includes("humangl")) { + register(instance); + available = Object.keys(tf7.engine().registryFactory); + } + if (instance.config.debug) + log("available backends:", available); + if (env.browser && !env.node && instance.config.backend === "tensorflow" && available.includes("webgl")) { + if (instance.config.debug) + log("override: backend set to tensorflow while running in browser"); + instance.config.backend = "webgl"; + } + if (env.node && !env.browser && (instance.config.backend === "webgl" || instance.config.backend === "humangl") && available.includes("tensorflow")) { + if (instance.config.debug) + log(`override: backend set to ${instance.config.backend} while running in nodejs`); + instance.config.backend = "tensorflow"; + } + if (env.browser && instance.config.backend === "webgpu") { + if (typeof navigator === "undefined" || typeof navigator.gpu === "undefined") { + log("override: backend set to webgpu but browser does not support webgpu"); + instance.config.backend = "webgl"; + } else { + const adapter = await navigator.gpu.requestAdapter(); + if (instance.config.debug) + log("enumerated webgpu adapter:", adapter); + if (!adapter) { + log("override: backend set to webgpu but browser reports no available gpu"); + instance.config.backend = "webgl"; + } else { + const adapterInfo = "requestAdapterInfo" in adapter ? await adapter.requestAdapterInfo() : void 0; + log("webgpu adapter info:", adapterInfo); + } + } + } + if (!available.includes(instance.config.backend)) { + log(`error: backend ${instance.config.backend} not found in registry`); + instance.config.backend = env.node ? "tensorflow" : "webgl"; + if (instance.config.debug) + log(`override: setting backend ${instance.config.backend}`); + } + if (instance.config.debug) + log("setting backend:", [instance.config.backend]); + if (instance.config.backend === "wasm") { + if (tf7.env().flagRegistry.CANVAS2D_WILL_READ_FREQUENTLY) + tf7.env().set("CANVAS2D_WILL_READ_FREQUENTLY", true); + if (instance.config.debug) + log("wasm path:", instance.config.wasmPath); + if (typeof tf7.setWasmPaths !== "undefined") + tf7.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch); + else + throw new Error("backend error: attempting to use wasm backend but wasm path is not set"); + let mt = false; + let simd = false; + try { + mt = await tf7.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"); + simd = await tf7.env().getAsync("WASM_HAS_SIMD_SUPPORT"); + if (instance.config.debug) + log(`wasm execution: ${simd ? "simd" : "no simd"} ${mt ? "multithreaded" : "singlethreaded"}`); + if (instance.config.debug && !simd) + log("warning: wasm simd support is not enabled"); + } catch (e) { + log("wasm detection failed"); + } + } + try { + await tf7.setBackend(instance.config.backend); + await tf7.ready(); + } catch (err) { + log("error: cannot set backend:", instance.config.backend, err); + return false; + } + if (instance.config.debug) + defaultFlags = JSON.parse(JSON.stringify(tf7.env().flags)); + } + if (tf7.getBackend() === "humangl" || tf7.getBackend() === "webgl") { + if (tf7.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf7.env().set("WEBGL_USE_SHAPES_UNIFORMS", true); + if (tf7.env().flagRegistry.WEBGL_EXP_CONV) + tf7.env().set("WEBGL_EXP_CONV", true); + if (instance.config.debug && typeof instance.config.deallocate !== "undefined" && instance.config.deallocate) { + log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true); + tf7.env().set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0); + } + } + if (tf7.getBackend() === "webgpu") { + } + if (instance.config.debug) { + const newFlags = tf7.env().flags; + const updatedFlags = {}; + for (const key of Object.keys(newFlags)) { + if (defaultFlags[key] === newFlags[key]) + continue; + updatedFlags[key] = newFlags[key]; + } + if (instance.config.debug && Object.keys(updatedFlags).length > 0) + log("backend:", tf7.getBackend(), "flags:", updatedFlags); + } + if (instance.config.flags && Object.keys(instance.config.flags).length > 0) { + if (instance.config.debug) + log("flags:", instance.config["flags"]); + for (const [key, val] of Object.entries(instance.config.flags)) { + tf7.env().set(key, val); + } + } + tf7.enableProdMode(); + init(); + instance.performance.initBackend = Math.trunc(now() - timeStamp); + instance.config.backend = tf7.getBackend(); + await env.updateBackend(); + registerCustomOps(instance.config); + } + return true; +} +function fakeOps(kernelNames, config3) { + for (const kernelName of kernelNames) { + const kernelConfig = { + kernelName, + backendName: config3.backend, + kernelFunc: (param) => { + var _a; + if (config3.debug) + log("kernelFunc", kernelName, config3.backend, param); + return (_a = param == null ? void 0 : param.inputs) == null ? void 0 : _a.info; + } + // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); }, + }; + tf7.registerKernel(kernelConfig); + } + env.kernels = tf7.getKernelsForBackend(tf7.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); +} + +// src/draw/draw.ts +var draw_exports = {}; +__export(draw_exports, { + all: () => all, + body: () => body, + canvas: () => canvas2, + face: () => face, + gesture: () => gesture, + hand: () => hand, + init: () => init2, + object: () => object, + options: () => options2, + person: () => person +}); + +// src/draw/primitives.ts +var getCanvasContext = (input) => { + if (!input) + log("draw error: invalid canvas"); + else if (!input.getContext) + log("draw error: canvas context not defined"); + else { + const ctx = input.getContext("2d"); + if (!ctx) + log("draw error: cannot get canvas context"); + else + return ctx; + } + return null; +}; +var rad2deg = (theta) => Math.round(theta * 180 / Math.PI); +var replace = (str, source, target) => str.replace(source, typeof target === "number" ? target.toFixed(1) : target); +var colorDepth = (z, opt) => { + if (!opt.useDepth || typeof z === "undefined") + return opt.color; + const rgb3 = Uint8ClampedArray.from([127 + 2 * z, 127 - 2 * z, 255]); + return `rgba(${rgb3[0]}, ${rgb3[1]}, ${rgb3[2]}, ${opt.alpha})`; +}; +function labels(ctx, str, startX, startY, localOptions2) { + const line = str.replace(/\[.*\]/g, "").split("\n").map((l) => l.trim()); + const x = Math.max(0, startX); + for (let i = line.length - 1; i >= 0; i--) { + const y = i * localOptions2.lineHeight + startY; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(line[i], x + 5, y + 16); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(line[i], x + 4, y + 15); + } +} +function point(ctx, x, y, z, localOptions2) { + ctx.fillStyle = colorDepth(z, localOptions2); + ctx.beginPath(); + ctx.arc(x, y, localOptions2.pointSize, 0, 2 * Math.PI); + ctx.fill(); +} +function rect(ctx, x, y, width, height, localOptions2) { + ctx.beginPath(); + ctx.lineWidth = localOptions2.lineWidth; + if (localOptions2.useCurves) { + const cx = (x + x + width) / 2; + const cy = (y + y + height) / 2; + ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI); + } else { + ctx.moveTo(x + localOptions2.roundRect, y); + ctx.lineTo(x + width - localOptions2.roundRect, y); + ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions2.roundRect); + ctx.lineTo(x + width, y + height - localOptions2.roundRect); + ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions2.roundRect, y + height); + ctx.lineTo(x + localOptions2.roundRect, y + height); + ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions2.roundRect); + ctx.lineTo(x, y + localOptions2.roundRect); + ctx.quadraticCurveTo(x, y, x + localOptions2.roundRect, y); + ctx.closePath(); + } + ctx.stroke(); +} +function lines(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.beginPath(); + ctx.moveTo(points[0][0], points[0][1]); + for (const pt of points) { + ctx.strokeStyle = colorDepth(pt[2] || 0, localOptions2); + ctx.lineTo(Math.trunc(pt[0]), Math.trunc(pt[1])); + } + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function curves(ctx, points, localOptions2) { + if (points.length < 2) + return; + ctx.lineWidth = localOptions2.lineWidth; + if (!localOptions2.useCurves || points.length <= 2) { + lines(ctx, points, localOptions2); + return; + } + ctx.moveTo(points[0][0], points[0][1]); + for (let i = 0; i < points.length - 2; i++) { + const xc = (points[i][0] + points[i + 1][0]) / 2; + const yc = (points[i][1] + points[i + 1][1]) / 2; + ctx.quadraticCurveTo(points[i][0], points[i][1], xc, yc); + } + ctx.quadraticCurveTo(points[points.length - 2][0], points[points.length - 2][1], points[points.length - 1][0], points[points.length - 1][1]); + ctx.stroke(); + if (localOptions2.fillPolygons) { + ctx.closePath(); + ctx.fill(); + } +} +function arrow(ctx, from, to, radius = 5) { + let angle; + let x; + let y; + ctx.beginPath(); + ctx.moveTo(from[0], from[1]); + ctx.lineTo(to[0], to[1]); + angle = Math.atan2(to[1] - from[1], to[0] - from[0]); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.moveTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + angle += 1 / 3 * (2 * Math.PI); + x = radius * Math.cos(angle) + to[0]; + y = radius * Math.sin(angle) + to[1]; + ctx.lineTo(x, y); + ctx.closePath(); + ctx.stroke(); + ctx.fill(); +} + +// src/draw/options.ts +var options2 = { + color: "rgba(173, 216, 230, 0.6)", + // 'lightblue' with light alpha channel + labelColor: "rgba(173, 216, 230, 1)", + // 'lightblue' with dark alpha channel + shadowColor: "black", + alpha: 0.5, + font: 'small-caps 16px "Segoe UI"', + lineHeight: 18, + lineWidth: 4, + pointSize: 2, + roundRect: 8, + drawPoints: false, + drawLabels: true, + drawBoxes: true, + drawAttention: true, + drawGestures: true, + drawPolygons: true, + drawGaze: true, + fillPolygons: false, + useDepth: true, + useCurves: false, + faceLabels: "", + bodyLabels: "", + bodyPartLabels: "", + objectLabels: "", + handLabels: "", + fingerLabels: "", + gestureLabels: "" +}; + +// src/face/facemeshcoords.ts +var meshAnnotations = { + silhouette: [ + 10, + 338, + 297, + 332, + 284, + 251, + 389, + 356, + 454, + 323, + 361, + 288, + 397, + 365, + 379, + 378, + 400, + 377, + 152, + 148, + 176, + 149, + 150, + 136, + 172, + 58, + 132, + 93, + 234, + 127, + 162, + 21, + 54, + 103, + 67, + 109 + ], + // lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291], // 11 + // lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291], // 10 + // lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308], // 11 + // lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], // 11 + lipsUpperOuter: [185, 40, 39, 37, 0, 267, 269, 270, 409], + lipsLowerOuter: [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291], + lipsUpperInner: [191, 80, 81, 82, 13, 312, 311, 310, 415], + lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308], + lipsLowerSemiOuter: [76, 77, 90, 180, 85, 16, 315, 404, 320, 307, 306], + lipsUpperSemiOuter: [184, 74, 73, 72, 11, 302, 303, 304, 408], + lipsLowerSemiInner: [62, 96, 89, 179, 86, 15, 316, 403, 319, 325, 292], + lipsUpperSemiInner: [183, 42, 41, 38, 12, 268, 271, 272, 407], + rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173], + // 7 + rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133], + // 9 + rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190], + // 7 + rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243], + // 9 + rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189], + // 7 + rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244], + // 9 + rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245], + // 9 + rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193], + // 8 + rightEyebrowLower: [35, 124, 46, 53, 52, 65], + // 6 + rightEyeIris: [473, 474, 475, 476, 477], + // 5 + leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398], + leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362], + leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414], + leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463], + leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413], + leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464], + leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465], + leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417], + leftEyebrowLower: [265, 353, 276, 283, 282, 295], + leftEyeIris: [468, 469, 470, 471, 472], + midwayBetweenEyes: [168], + noseTip: [1], + noseBottom: [2], + noseRightCorner: [98], + noseLeftCorner: [327], + rightCheek: [205], + leftCheek: [425] +}; +var meshLandmarks = { + count: 468, + mouth: 13, + symmetryLine: [13, meshAnnotations.midwayBetweenEyes[0]] +}; +var blazeFaceLandmarks = { + leftEye: 0, + rightEye: 1, + nose: 2, + mouth: 3, + leftEar: 4, + rightEar: 5, + symmetryLine: [3, 2] +}; +var irisIndices = [ + // A mapping from facemesh model keypoints to iris model keypoints. + { key: "EyeUpper0", indices: [9, 10, 11, 12, 13, 14, 15] }, + // 7 x 3d + { key: "EyeUpper1", indices: [25, 26, 27, 28, 29, 30, 31] }, + // 7 x 3d + { key: "EyeUpper2", indices: [41, 42, 43, 44, 45, 46, 47] }, + // 7 x 3d + { key: "EyeLower0", indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] }, + // 7 x 3d + { key: "EyeLower1", indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] }, + // 9 x 3d + { key: "EyeLower2", indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] }, + // 9 x 3d + { key: "EyeLower3", indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] }, + // 9 x 3d + { key: "EyebrowUpper", indices: [63, 64, 65, 66, 67, 68, 69, 70] }, + // 8 x 3d + { key: "EyebrowLower", indices: [48, 49, 50, 51, 52, 53] } + // 6 x 3d +]; +var UV468 = [ + [0.499976992607117, 0.652534008026123], + [0.500025987625122, 0.547487020492554], + [0.499974012374878, 0.602371990680695], + [0.482113003730774, 0.471979022026062], + [0.500150978565216, 0.527155995368958], + [0.499909996986389, 0.498252987861633], + [0.499523013830185, 0.40106201171875], + [0.289712011814117, 0.380764007568359], + [0.499954998493195, 0.312398016452789], + [0.499987006187439, 0.269918978214264], + [0.500023007392883, 0.107050001621246], + [0.500023007392883, 0.666234016418457], + [0.5000159740448, 0.679224014282227], + [0.500023007392883, 0.692348003387451], + [0.499976992607117, 0.695277988910675], + [0.499976992607117, 0.70593398809433], + [0.499976992607117, 0.719385027885437], + [0.499976992607117, 0.737019002437592], + [0.499967992305756, 0.781370997428894], + [0.499816000461578, 0.562981009483337], + [0.473773002624512, 0.573909997940063], + [0.104906998574734, 0.254140973091125], + [0.365929991006851, 0.409575998783112], + [0.338757991790771, 0.41302502155304], + [0.311120003461838, 0.409460008144379], + [0.274657994508743, 0.389131009578705], + [0.393361985683441, 0.403706014156342], + [0.345234006643295, 0.344011008739471], + [0.370094001293182, 0.346076011657715], + [0.319321990013123, 0.347265005111694], + [0.297903001308441, 0.353591024875641], + [0.24779200553894, 0.410809993743896], + [0.396889001131058, 0.842755019664764], + [0.280097991228104, 0.375599980354309], + [0.106310002505779, 0.399955987930298], + [0.2099249958992, 0.391353011131287], + [0.355807989835739, 0.534406006336212], + [0.471751004457474, 0.65040397644043], + [0.474155008792877, 0.680191993713379], + [0.439785003662109, 0.657229006290436], + [0.414617002010345, 0.66654098033905], + [0.450374007225037, 0.680860996246338], + [0.428770989179611, 0.682690978050232], + [0.374971002340317, 0.727805018424988], + [0.486716985702515, 0.547628998756409], + [0.485300987958908, 0.527395009994507], + [0.257764995098114, 0.314490020275116], + [0.401223003864288, 0.455172002315521], + [0.429818987846375, 0.548614978790283], + [0.421351999044418, 0.533740997314453], + [0.276895999908447, 0.532056987285614], + [0.483370006084442, 0.499586999416351], + [0.33721199631691, 0.282882988452911], + [0.296391993761063, 0.293242990970612], + [0.169294998049736, 0.193813979625702], + [0.447580009698868, 0.302609980106354], + [0.392390012741089, 0.353887975215912], + [0.354490011930466, 0.696784019470215], + [0.067304998636246, 0.730105042457581], + [0.442739009857178, 0.572826027870178], + [0.457098007202148, 0.584792017936707], + [0.381974011659622, 0.694710969924927], + [0.392388999462128, 0.694203019142151], + [0.277076005935669, 0.271932005882263], + [0.422551989555359, 0.563233017921448], + [0.385919004678726, 0.281364023685455], + [0.383103013038635, 0.255840003490448], + [0.331431001424789, 0.119714021682739], + [0.229923993349075, 0.232002973556519], + [0.364500999450684, 0.189113974571228], + [0.229622006416321, 0.299540996551514], + [0.173287004232407, 0.278747975826263], + [0.472878992557526, 0.666198015213013], + [0.446828007698059, 0.668527007102966], + [0.422762006521225, 0.673889994621277], + [0.445307999849319, 0.580065965652466], + [0.388103008270264, 0.693961024284363], + [0.403039008378983, 0.706539988517761], + [0.403629004955292, 0.693953037261963], + [0.460041999816895, 0.557139039039612], + [0.431158006191254, 0.692366003990173], + [0.452181994915009, 0.692366003990173], + [0.475387006998062, 0.692366003990173], + [0.465828001499176, 0.779190003871918], + [0.472328990697861, 0.736225962638855], + [0.473087012767792, 0.717857003211975], + [0.473122000694275, 0.704625964164734], + [0.473033010959625, 0.695277988910675], + [0.427942007780075, 0.695277988910675], + [0.426479011774063, 0.703539967536926], + [0.423162013292313, 0.711845993995667], + [0.4183090031147, 0.720062971115112], + [0.390094995498657, 0.639572978019714], + [0.013953999616206, 0.560034036636353], + [0.499913990497589, 0.58014702796936], + [0.413199990987778, 0.69539999961853], + [0.409626007080078, 0.701822996139526], + [0.468080013990402, 0.601534962654114], + [0.422728985548019, 0.585985004901886], + [0.463079988956451, 0.593783974647522], + [0.37211999297142, 0.47341400384903], + [0.334562003612518, 0.496073007583618], + [0.411671012639999, 0.546965003013611], + [0.242175996303558, 0.14767599105835], + [0.290776997804642, 0.201445996761322], + [0.327338010072708, 0.256527006626129], + [0.399509996175766, 0.748921036720276], + [0.441727995872498, 0.261676013469696], + [0.429764986038208, 0.187834024429321], + [0.412198007106781, 0.108901023864746], + [0.288955003023148, 0.398952007293701], + [0.218936994671822, 0.435410976409912], + [0.41278201341629, 0.398970007896423], + [0.257135003805161, 0.355440020561218], + [0.427684992551804, 0.437960982322693], + [0.448339998722076, 0.536936044692993], + [0.178560003638268, 0.45755398273468], + [0.247308000922203, 0.457193970680237], + [0.286267012357712, 0.467674970626831], + [0.332827985286713, 0.460712015628815], + [0.368755996227264, 0.447206974029541], + [0.398963987827301, 0.432654976844788], + [0.476410001516342, 0.405806005001068], + [0.189241006970406, 0.523923993110657], + [0.228962004184723, 0.348950982093811], + [0.490725994110107, 0.562400996685028], + [0.404670000076294, 0.485132992267609], + [0.019469000399113, 0.401564002037048], + [0.426243007183075, 0.420431017875671], + [0.396993011236191, 0.548797011375427], + [0.266469985246658, 0.376977026462555], + [0.439121007919312, 0.51895797252655], + [0.032313998788595, 0.644356966018677], + [0.419054001569748, 0.387154996395111], + [0.462783008813858, 0.505746960639954], + [0.238978996872902, 0.779744982719421], + [0.198220998048782, 0.831938028335571], + [0.107550002634525, 0.540755033493042], + [0.183610007166862, 0.740257024765015], + [0.134409993886948, 0.333683013916016], + [0.385764002799988, 0.883153975009918], + [0.490967005491257, 0.579378008842468], + [0.382384985685349, 0.508572995662689], + [0.174399003386497, 0.397670984268188], + [0.318785011768341, 0.39623498916626], + [0.343364000320435, 0.400596976280212], + [0.396100014448166, 0.710216999053955], + [0.187885001301765, 0.588537991046906], + [0.430987000465393, 0.944064974784851], + [0.318993002176285, 0.898285031318665], + [0.266247987747192, 0.869701027870178], + [0.500023007392883, 0.190576016902924], + [0.499976992607117, 0.954452991485596], + [0.366169989109039, 0.398822009563446], + [0.393207013607025, 0.39553701877594], + [0.410373002290726, 0.391080021858215], + [0.194993004202843, 0.342101991176605], + [0.388664990663528, 0.362284004688263], + [0.365961998701096, 0.355970978736877], + [0.343364000320435, 0.355356991291046], + [0.318785011768341, 0.35834002494812], + [0.301414996385574, 0.363156020641327], + [0.058132998645306, 0.319076001644135], + [0.301414996385574, 0.387449026107788], + [0.499987989664078, 0.618434011936188], + [0.415838003158569, 0.624195992946625], + [0.445681989192963, 0.566076993942261], + [0.465844005346298, 0.620640993118286], + [0.49992299079895, 0.351523995399475], + [0.288718998432159, 0.819945991039276], + [0.335278987884521, 0.852819979190826], + [0.440512001514435, 0.902418971061707], + [0.128294005990028, 0.791940987110138], + [0.408771991729736, 0.373893976211548], + [0.455606997013092, 0.451801002025604], + [0.499877005815506, 0.908990025520325], + [0.375436991453171, 0.924192011356354], + [0.11421000212431, 0.615022003650665], + [0.448662012815475, 0.695277988910675], + [0.4480200111866, 0.704632043838501], + [0.447111994028091, 0.715808033943176], + [0.444831997156143, 0.730794012546539], + [0.430011987686157, 0.766808986663818], + [0.406787008047104, 0.685672998428345], + [0.400738000869751, 0.681069016456604], + [0.392399996519089, 0.677703022956848], + [0.367855995893478, 0.663918972015381], + [0.247923001646996, 0.601333022117615], + [0.452769994735718, 0.420849978923798], + [0.43639200925827, 0.359887003898621], + [0.416164010763168, 0.368713974952698], + [0.413385987281799, 0.692366003990173], + [0.228018000721931, 0.683571994304657], + [0.468268007040024, 0.352671027183533], + [0.411361992359161, 0.804327011108398], + [0.499989002943039, 0.469825029373169], + [0.479153990745544, 0.442654013633728], + [0.499974012374878, 0.439637005329132], + [0.432112008333206, 0.493588984012604], + [0.499886006116867, 0.866917014122009], + [0.49991300702095, 0.821729004383087], + [0.456548988819122, 0.819200992584229], + [0.344549000263214, 0.745438992977142], + [0.37890899181366, 0.574010014533997], + [0.374292999505997, 0.780184984207153], + [0.319687992334366, 0.570737957954407], + [0.357154995203018, 0.604269981384277], + [0.295284003019333, 0.621580958366394], + [0.447750002145767, 0.862477004528046], + [0.410986006259918, 0.508723020553589], + [0.31395098567009, 0.775308012962341], + [0.354128003120422, 0.812552988529205], + [0.324548006057739, 0.703992962837219], + [0.189096003770828, 0.646299958229065], + [0.279776990413666, 0.71465802192688], + [0.1338230073452, 0.682700991630554], + [0.336768001317978, 0.644733011722565], + [0.429883986711502, 0.466521978378296], + [0.455527991056442, 0.548622965812683], + [0.437114000320435, 0.558896005153656], + [0.467287987470627, 0.529924988746643], + [0.414712011814117, 0.335219979286194], + [0.37704598903656, 0.322777986526489], + [0.344107985496521, 0.320150971412659], + [0.312875986099243, 0.32233202457428], + [0.283526003360748, 0.333190023899078], + [0.241245999932289, 0.382785975933075], + [0.102986000478268, 0.468762993812561], + [0.267612010240555, 0.424560010433197], + [0.297879010438919, 0.433175981044769], + [0.333433985710144, 0.433878004550934], + [0.366427004337311, 0.426115989685059], + [0.396012008190155, 0.416696012020111], + [0.420121014118195, 0.41022801399231], + [0.007561000064015, 0.480777025222778], + [0.432949006557465, 0.569517970085144], + [0.458638995885849, 0.479089021682739], + [0.473466008901596, 0.545744001865387], + [0.476087987422943, 0.563830018043518], + [0.468472003936768, 0.555056989192963], + [0.433990985155106, 0.582361996173859], + [0.483518004417419, 0.562983989715576], + [0.482482999563217, 0.57784903049469], + [0.42645001411438, 0.389798998832703], + [0.438998997211456, 0.39649498462677], + [0.450067013502121, 0.400434017181396], + [0.289712011814117, 0.368252992630005], + [0.276670008897781, 0.363372981548309], + [0.517862021923065, 0.471948027610779], + [0.710287988185883, 0.380764007568359], + [0.526226997375488, 0.573909997940063], + [0.895093023777008, 0.254140973091125], + [0.634069979190826, 0.409575998783112], + [0.661242008209229, 0.41302502155304], + [0.688880026340485, 0.409460008144379], + [0.725341975688934, 0.389131009578705], + [0.606630027294159, 0.40370500087738], + [0.654766023159027, 0.344011008739471], + [0.629905998706818, 0.346076011657715], + [0.680678009986877, 0.347265005111694], + [0.702096998691559, 0.353591024875641], + [0.75221198797226, 0.410804986953735], + [0.602918028831482, 0.842862963676453], + [0.719901978969574, 0.375599980354309], + [0.893692970275879, 0.399959981441498], + [0.790081977844238, 0.391354024410248], + [0.643998026847839, 0.534487962722778], + [0.528249025344849, 0.65040397644043], + [0.525849997997284, 0.680191040039062], + [0.560214996337891, 0.657229006290436], + [0.585384011268616, 0.66654098033905], + [0.549625992774963, 0.680860996246338], + [0.57122802734375, 0.682691991329193], + [0.624852001667023, 0.72809898853302], + [0.513050019741058, 0.547281980514526], + [0.51509702205658, 0.527251958847046], + [0.742246985435486, 0.314507007598877], + [0.598631024360657, 0.454979002475739], + [0.570338010787964, 0.548575043678284], + [0.578631997108459, 0.533622980117798], + [0.723087012767792, 0.532054007053375], + [0.516445994377136, 0.499638974666595], + [0.662801027297974, 0.282917976379395], + [0.70362401008606, 0.293271005153656], + [0.830704987049103, 0.193813979625702], + [0.552385985851288, 0.302568018436432], + [0.607609987258911, 0.353887975215912], + [0.645429015159607, 0.696707010269165], + [0.932694971561432, 0.730105042457581], + [0.557260990142822, 0.572826027870178], + [0.542901992797852, 0.584792017936707], + [0.6180260181427, 0.694710969924927], + [0.607590973377228, 0.694203019142151], + [0.722943007946014, 0.271963000297546], + [0.577413976192474, 0.563166975975037], + [0.614082992076874, 0.281386971473694], + [0.616907000541687, 0.255886018276215], + [0.668509006500244, 0.119913995265961], + [0.770092010498047, 0.232020974159241], + [0.635536015033722, 0.189248979091644], + [0.77039098739624, 0.299556016921997], + [0.826722025871277, 0.278755009174347], + [0.527121007442474, 0.666198015213013], + [0.553171992301941, 0.668527007102966], + [0.577238023281097, 0.673889994621277], + [0.554691970348358, 0.580065965652466], + [0.611896991729736, 0.693961024284363], + [0.59696102142334, 0.706539988517761], + [0.596370995044708, 0.693953037261963], + [0.539958000183105, 0.557139039039612], + [0.568841993808746, 0.692366003990173], + [0.547818005084991, 0.692366003990173], + [0.52461302280426, 0.692366003990173], + [0.534089982509613, 0.779141008853912], + [0.527670979499817, 0.736225962638855], + [0.526912987232208, 0.717857003211975], + [0.526877999305725, 0.704625964164734], + [0.526966989040375, 0.695277988910675], + [0.572058022022247, 0.695277988910675], + [0.573521018028259, 0.703539967536926], + [0.57683801651001, 0.711845993995667], + [0.581691026687622, 0.720062971115112], + [0.609944999217987, 0.639909982681274], + [0.986046016216278, 0.560034036636353], + [0.5867999792099, 0.69539999961853], + [0.590372025966644, 0.701822996139526], + [0.531915009021759, 0.601536989212036], + [0.577268004417419, 0.585934996604919], + [0.536915004253387, 0.593786001205444], + [0.627542972564697, 0.473352015018463], + [0.665585994720459, 0.495950996875763], + [0.588353991508484, 0.546862006187439], + [0.757824003696442, 0.14767599105835], + [0.709249973297119, 0.201507985591888], + [0.672684013843536, 0.256581008434296], + [0.600408971309662, 0.74900496006012], + [0.55826598405838, 0.261672019958496], + [0.570303976535797, 0.187870979309082], + [0.588165998458862, 0.109044015407562], + [0.711045026779175, 0.398952007293701], + [0.781069993972778, 0.435405015945435], + [0.587247014045715, 0.398931980133057], + [0.742869973182678, 0.355445981025696], + [0.572156012058258, 0.437651991844177], + [0.55186802148819, 0.536570012569427], + [0.821442008018494, 0.457556009292603], + [0.752701997756958, 0.457181990146637], + [0.71375697851181, 0.467626988887787], + [0.66711300611496, 0.460672974586487], + [0.631101012229919, 0.447153985500336], + [0.6008620262146, 0.432473003864288], + [0.523481011390686, 0.405627012252808], + [0.810747981071472, 0.523926019668579], + [0.771045982837677, 0.348959028720856], + [0.509127020835876, 0.562718033790588], + [0.595292985439301, 0.485023975372314], + [0.980530977249146, 0.401564002037048], + [0.573499977588654, 0.420000016689301], + [0.602994978427887, 0.548687994480133], + [0.733529984951019, 0.376977026462555], + [0.560611009597778, 0.519016981124878], + [0.967685997486115, 0.644356966018677], + [0.580985009670258, 0.387160003185272], + [0.537728011608124, 0.505385041236877], + [0.760966002941132, 0.779752969741821], + [0.801778972148895, 0.831938028335571], + [0.892440974712372, 0.54076099395752], + [0.816350996494293, 0.740260004997253], + [0.865594983100891, 0.333687007427216], + [0.614073991775513, 0.883246004581451], + [0.508952975273132, 0.579437971115112], + [0.617941975593567, 0.508316040039062], + [0.825608015060425, 0.397674977779388], + [0.681214988231659, 0.39623498916626], + [0.656635999679565, 0.400596976280212], + [0.603900015354156, 0.710216999053955], + [0.81208598613739, 0.588539004325867], + [0.56801301240921, 0.944564998149872], + [0.681007981300354, 0.898285031318665], + [0.733752012252808, 0.869701027870178], + [0.633830010890961, 0.398822009563446], + [0.606792986392975, 0.39553701877594], + [0.589659988880157, 0.391062021255493], + [0.805015981197357, 0.342108011245728], + [0.611334979534149, 0.362284004688263], + [0.634037971496582, 0.355970978736877], + [0.656635999679565, 0.355356991291046], + [0.681214988231659, 0.35834002494812], + [0.698584973812103, 0.363156020641327], + [0.941866993904114, 0.319076001644135], + [0.698584973812103, 0.387449026107788], + [0.584177017211914, 0.624107003211975], + [0.554318010807037, 0.566076993942261], + [0.534153997898102, 0.62064003944397], + [0.711217999458313, 0.819975018501282], + [0.664629995822906, 0.852871000766754], + [0.559099972248077, 0.902631998062134], + [0.871706008911133, 0.791940987110138], + [0.591234028339386, 0.373893976211548], + [0.544341027736664, 0.451583981513977], + [0.624562978744507, 0.924192011356354], + [0.88577002286911, 0.615028977394104], + [0.551338016986847, 0.695277988910675], + [0.551980018615723, 0.704632043838501], + [0.552887976169586, 0.715808033943176], + [0.555167973041534, 0.730794012546539], + [0.569944024085999, 0.767035007476807], + [0.593203008174896, 0.685675978660583], + [0.599261999130249, 0.681069016456604], + [0.607599973678589, 0.677703022956848], + [0.631937980651855, 0.663500010967255], + [0.752032995223999, 0.601315021514893], + [0.547226011753082, 0.420395016670227], + [0.563543975353241, 0.359827995300293], + [0.583841025829315, 0.368713974952698], + [0.586614012718201, 0.692366003990173], + [0.771915018558502, 0.683578014373779], + [0.531597018241882, 0.352482974529266], + [0.588370978832245, 0.804440975189209], + [0.52079701423645, 0.442565023899078], + [0.567984998226166, 0.493479013442993], + [0.543282985687256, 0.819254994392395], + [0.655317008495331, 0.745514988899231], + [0.621008992195129, 0.574018001556396], + [0.625559985637665, 0.78031200170517], + [0.680198013782501, 0.570719003677368], + [0.64276397228241, 0.604337990283966], + [0.704662978649139, 0.621529996395111], + [0.552012026309967, 0.862591981887817], + [0.589071989059448, 0.508637011051178], + [0.685944974422455, 0.775357007980347], + [0.645735025405884, 0.812640011310577], + [0.675342977046967, 0.703978002071381], + [0.810858011245728, 0.646304965019226], + [0.72012197971344, 0.714666962623596], + [0.866151988506317, 0.682704985141754], + [0.663187026977539, 0.644596993923187], + [0.570082008838654, 0.466325998306274], + [0.544561982154846, 0.548375964164734], + [0.562758982181549, 0.558784961700439], + [0.531987011432648, 0.530140042304993], + [0.585271000862122, 0.335177004337311], + [0.622952997684479, 0.32277899980545], + [0.655896008014679, 0.320163011550903], + [0.687132000923157, 0.322345972061157], + [0.716481983661652, 0.333200991153717], + [0.758756995201111, 0.382786989212036], + [0.897013008594513, 0.468769013881683], + [0.732392013072968, 0.424547016620636], + [0.70211398601532, 0.433162987232208], + [0.66652500629425, 0.433866024017334], + [0.633504986763, 0.426087975502014], + [0.603875994682312, 0.416586995124817], + [0.579657971858978, 0.409945011138916], + [0.992439985275269, 0.480777025222778], + [0.567192018032074, 0.569419980049133], + [0.54136598110199, 0.478899002075195], + [0.526564002037048, 0.546118021011353], + [0.523913025856018, 0.563830018043518], + [0.531529009342194, 0.555056989192963], + [0.566035985946655, 0.582329034805298], + [0.51631098985672, 0.563053965568542], + [0.5174720287323, 0.577877044677734], + [0.573594987392426, 0.389806985855103], + [0.560697972774506, 0.395331978797913], + [0.549755990505219, 0.399751007556915], + [0.710287988185883, 0.368252992630005], + [0.723330020904541, 0.363372981548309] +]; +var TRI468 = [ + 127, + 34, + 139, + 11, + 0, + 37, + 232, + 231, + 120, + 72, + 37, + 39, + 128, + 121, + 47, + 232, + 121, + 128, + 104, + 69, + 67, + 175, + 171, + 148, + 157, + 154, + 155, + 118, + 50, + 101, + 73, + 39, + 40, + 9, + 151, + 108, + 48, + 115, + 131, + 194, + 204, + 211, + 74, + 40, + 185, + 80, + 42, + 183, + 40, + 92, + 186, + 230, + 229, + 118, + 202, + 212, + 214, + 83, + 18, + 17, + 76, + 61, + 146, + 160, + 29, + 30, + 56, + 157, + 173, + 106, + 204, + 194, + 135, + 214, + 192, + 203, + 165, + 98, + 21, + 71, + 68, + 51, + 45, + 4, + 144, + 24, + 23, + 77, + 146, + 91, + 205, + 50, + 187, + 201, + 200, + 18, + 91, + 106, + 182, + 90, + 91, + 181, + 85, + 84, + 17, + 206, + 203, + 36, + 148, + 171, + 140, + 92, + 40, + 39, + 193, + 189, + 244, + 159, + 158, + 28, + 247, + 246, + 161, + 236, + 3, + 196, + 54, + 68, + 104, + 193, + 168, + 8, + 117, + 228, + 31, + 189, + 193, + 55, + 98, + 97, + 99, + 126, + 47, + 100, + 166, + 79, + 218, + 155, + 154, + 26, + 209, + 49, + 131, + 135, + 136, + 150, + 47, + 126, + 217, + 223, + 52, + 53, + 45, + 51, + 134, + 211, + 170, + 140, + 67, + 69, + 108, + 43, + 106, + 91, + 230, + 119, + 120, + 226, + 130, + 247, + 63, + 53, + 52, + 238, + 20, + 242, + 46, + 70, + 156, + 78, + 62, + 96, + 46, + 53, + 63, + 143, + 34, + 227, + 173, + 155, + 133, + 123, + 117, + 111, + 44, + 125, + 19, + 236, + 134, + 51, + 216, + 206, + 205, + 154, + 153, + 22, + 39, + 37, + 167, + 200, + 201, + 208, + 36, + 142, + 100, + 57, + 212, + 202, + 20, + 60, + 99, + 28, + 158, + 157, + 35, + 226, + 113, + 160, + 159, + 27, + 204, + 202, + 210, + 113, + 225, + 46, + 43, + 202, + 204, + 62, + 76, + 77, + 137, + 123, + 116, + 41, + 38, + 72, + 203, + 129, + 142, + 64, + 98, + 240, + 49, + 102, + 64, + 41, + 73, + 74, + 212, + 216, + 207, + 42, + 74, + 184, + 169, + 170, + 211, + 170, + 149, + 176, + 105, + 66, + 69, + 122, + 6, + 168, + 123, + 147, + 187, + 96, + 77, + 90, + 65, + 55, + 107, + 89, + 90, + 180, + 101, + 100, + 120, + 63, + 105, + 104, + 93, + 137, + 227, + 15, + 86, + 85, + 129, + 102, + 49, + 14, + 87, + 86, + 55, + 8, + 9, + 100, + 47, + 121, + 145, + 23, + 22, + 88, + 89, + 179, + 6, + 122, + 196, + 88, + 95, + 96, + 138, + 172, + 136, + 215, + 58, + 172, + 115, + 48, + 219, + 42, + 80, + 81, + 195, + 3, + 51, + 43, + 146, + 61, + 171, + 175, + 199, + 81, + 82, + 38, + 53, + 46, + 225, + 144, + 163, + 110, + 246, + 33, + 7, + 52, + 65, + 66, + 229, + 228, + 117, + 34, + 127, + 234, + 107, + 108, + 69, + 109, + 108, + 151, + 48, + 64, + 235, + 62, + 78, + 191, + 129, + 209, + 126, + 111, + 35, + 143, + 163, + 161, + 246, + 117, + 123, + 50, + 222, + 65, + 52, + 19, + 125, + 141, + 221, + 55, + 65, + 3, + 195, + 197, + 25, + 7, + 33, + 220, + 237, + 44, + 70, + 71, + 139, + 122, + 193, + 245, + 247, + 130, + 33, + 71, + 21, + 162, + 153, + 158, + 159, + 170, + 169, + 150, + 188, + 174, + 196, + 216, + 186, + 92, + 144, + 160, + 161, + 2, + 97, + 167, + 141, + 125, + 241, + 164, + 167, + 37, + 72, + 38, + 12, + 145, + 159, + 160, + 38, + 82, + 13, + 63, + 68, + 71, + 226, + 35, + 111, + 158, + 153, + 154, + 101, + 50, + 205, + 206, + 92, + 165, + 209, + 198, + 217, + 165, + 167, + 97, + 220, + 115, + 218, + 133, + 112, + 243, + 239, + 238, + 241, + 214, + 135, + 169, + 190, + 173, + 133, + 171, + 208, + 32, + 125, + 44, + 237, + 86, + 87, + 178, + 85, + 86, + 179, + 84, + 85, + 180, + 83, + 84, + 181, + 201, + 83, + 182, + 137, + 93, + 132, + 76, + 62, + 183, + 61, + 76, + 184, + 57, + 61, + 185, + 212, + 57, + 186, + 214, + 207, + 187, + 34, + 143, + 156, + 79, + 239, + 237, + 123, + 137, + 177, + 44, + 1, + 4, + 201, + 194, + 32, + 64, + 102, + 129, + 213, + 215, + 138, + 59, + 166, + 219, + 242, + 99, + 97, + 2, + 94, + 141, + 75, + 59, + 235, + 24, + 110, + 228, + 25, + 130, + 226, + 23, + 24, + 229, + 22, + 23, + 230, + 26, + 22, + 231, + 112, + 26, + 232, + 189, + 190, + 243, + 221, + 56, + 190, + 28, + 56, + 221, + 27, + 28, + 222, + 29, + 27, + 223, + 30, + 29, + 224, + 247, + 30, + 225, + 238, + 79, + 20, + 166, + 59, + 75, + 60, + 75, + 240, + 147, + 177, + 215, + 20, + 79, + 166, + 187, + 147, + 213, + 112, + 233, + 244, + 233, + 128, + 245, + 128, + 114, + 188, + 114, + 217, + 174, + 131, + 115, + 220, + 217, + 198, + 236, + 198, + 131, + 134, + 177, + 132, + 58, + 143, + 35, + 124, + 110, + 163, + 7, + 228, + 110, + 25, + 356, + 389, + 368, + 11, + 302, + 267, + 452, + 350, + 349, + 302, + 303, + 269, + 357, + 343, + 277, + 452, + 453, + 357, + 333, + 332, + 297, + 175, + 152, + 377, + 384, + 398, + 382, + 347, + 348, + 330, + 303, + 304, + 270, + 9, + 336, + 337, + 278, + 279, + 360, + 418, + 262, + 431, + 304, + 408, + 409, + 310, + 415, + 407, + 270, + 409, + 410, + 450, + 348, + 347, + 422, + 430, + 434, + 313, + 314, + 17, + 306, + 307, + 375, + 387, + 388, + 260, + 286, + 414, + 398, + 335, + 406, + 418, + 364, + 367, + 416, + 423, + 358, + 327, + 251, + 284, + 298, + 281, + 5, + 4, + 373, + 374, + 253, + 307, + 320, + 321, + 425, + 427, + 411, + 421, + 313, + 18, + 321, + 405, + 406, + 320, + 404, + 405, + 315, + 16, + 17, + 426, + 425, + 266, + 377, + 400, + 369, + 322, + 391, + 269, + 417, + 465, + 464, + 386, + 257, + 258, + 466, + 260, + 388, + 456, + 399, + 419, + 284, + 332, + 333, + 417, + 285, + 8, + 346, + 340, + 261, + 413, + 441, + 285, + 327, + 460, + 328, + 355, + 371, + 329, + 392, + 439, + 438, + 382, + 341, + 256, + 429, + 420, + 360, + 364, + 394, + 379, + 277, + 343, + 437, + 443, + 444, + 283, + 275, + 440, + 363, + 431, + 262, + 369, + 297, + 338, + 337, + 273, + 375, + 321, + 450, + 451, + 349, + 446, + 342, + 467, + 293, + 334, + 282, + 458, + 461, + 462, + 276, + 353, + 383, + 308, + 324, + 325, + 276, + 300, + 293, + 372, + 345, + 447, + 382, + 398, + 362, + 352, + 345, + 340, + 274, + 1, + 19, + 456, + 248, + 281, + 436, + 427, + 425, + 381, + 256, + 252, + 269, + 391, + 393, + 200, + 199, + 428, + 266, + 330, + 329, + 287, + 273, + 422, + 250, + 462, + 328, + 258, + 286, + 384, + 265, + 353, + 342, + 387, + 259, + 257, + 424, + 431, + 430, + 342, + 353, + 276, + 273, + 335, + 424, + 292, + 325, + 307, + 366, + 447, + 345, + 271, + 303, + 302, + 423, + 266, + 371, + 294, + 455, + 460, + 279, + 278, + 294, + 271, + 272, + 304, + 432, + 434, + 427, + 272, + 407, + 408, + 394, + 430, + 431, + 395, + 369, + 400, + 334, + 333, + 299, + 351, + 417, + 168, + 352, + 280, + 411, + 325, + 319, + 320, + 295, + 296, + 336, + 319, + 403, + 404, + 330, + 348, + 349, + 293, + 298, + 333, + 323, + 454, + 447, + 15, + 16, + 315, + 358, + 429, + 279, + 14, + 15, + 316, + 285, + 336, + 9, + 329, + 349, + 350, + 374, + 380, + 252, + 318, + 402, + 403, + 6, + 197, + 419, + 318, + 319, + 325, + 367, + 364, + 365, + 435, + 367, + 397, + 344, + 438, + 439, + 272, + 271, + 311, + 195, + 5, + 281, + 273, + 287, + 291, + 396, + 428, + 199, + 311, + 271, + 268, + 283, + 444, + 445, + 373, + 254, + 339, + 263, + 466, + 249, + 282, + 334, + 296, + 449, + 347, + 346, + 264, + 447, + 454, + 336, + 296, + 299, + 338, + 10, + 151, + 278, + 439, + 455, + 292, + 407, + 415, + 358, + 371, + 355, + 340, + 345, + 372, + 390, + 249, + 466, + 346, + 347, + 280, + 442, + 443, + 282, + 19, + 94, + 370, + 441, + 442, + 295, + 248, + 419, + 197, + 263, + 255, + 359, + 440, + 275, + 274, + 300, + 383, + 368, + 351, + 412, + 465, + 263, + 467, + 466, + 301, + 368, + 389, + 380, + 374, + 386, + 395, + 378, + 379, + 412, + 351, + 419, + 436, + 426, + 322, + 373, + 390, + 388, + 2, + 164, + 393, + 370, + 462, + 461, + 164, + 0, + 267, + 302, + 11, + 12, + 374, + 373, + 387, + 268, + 12, + 13, + 293, + 300, + 301, + 446, + 261, + 340, + 385, + 384, + 381, + 330, + 266, + 425, + 426, + 423, + 391, + 429, + 355, + 437, + 391, + 327, + 326, + 440, + 457, + 438, + 341, + 382, + 362, + 459, + 457, + 461, + 434, + 430, + 394, + 414, + 463, + 362, + 396, + 369, + 262, + 354, + 461, + 457, + 316, + 403, + 402, + 315, + 404, + 403, + 314, + 405, + 404, + 313, + 406, + 405, + 421, + 418, + 406, + 366, + 401, + 361, + 306, + 408, + 407, + 291, + 409, + 408, + 287, + 410, + 409, + 432, + 436, + 410, + 434, + 416, + 411, + 264, + 368, + 383, + 309, + 438, + 457, + 352, + 376, + 401, + 274, + 275, + 4, + 421, + 428, + 262, + 294, + 327, + 358, + 433, + 416, + 367, + 289, + 455, + 439, + 462, + 370, + 326, + 2, + 326, + 370, + 305, + 460, + 455, + 254, + 449, + 448, + 255, + 261, + 446, + 253, + 450, + 449, + 252, + 451, + 450, + 256, + 452, + 451, + 341, + 453, + 452, + 413, + 464, + 463, + 441, + 413, + 414, + 258, + 442, + 441, + 257, + 443, + 442, + 259, + 444, + 443, + 260, + 445, + 444, + 467, + 342, + 445, + 459, + 458, + 250, + 289, + 392, + 290, + 290, + 328, + 460, + 376, + 433, + 435, + 250, + 290, + 392, + 411, + 416, + 433, + 341, + 463, + 464, + 453, + 464, + 465, + 357, + 465, + 412, + 343, + 412, + 399, + 360, + 363, + 440, + 437, + 399, + 456, + 420, + 456, + 363, + 401, + 435, + 288, + 372, + 383, + 353, + 339, + 255, + 249, + 448, + 261, + 255, + 133, + 243, + 190, + 133, + 155, + 112, + 33, + 246, + 247, + 33, + 130, + 25, + 398, + 384, + 286, + 362, + 398, + 414, + 362, + 463, + 341, + 263, + 359, + 467, + 263, + 249, + 255, + 466, + 467, + 260, + 75, + 60, + 166, + 238, + 239, + 79, + 162, + 127, + 139, + 72, + 11, + 37, + 121, + 232, + 120, + 73, + 72, + 39, + 114, + 128, + 47, + 233, + 232, + 128, + 103, + 104, + 67, + 152, + 175, + 148, + 173, + 157, + 155, + 119, + 118, + 101, + 74, + 73, + 40, + 107, + 9, + 108, + 49, + 48, + 131, + 32, + 194, + 211, + 184, + 74, + 185, + 191, + 80, + 183, + 185, + 40, + 186, + 119, + 230, + 118, + 210, + 202, + 214, + 84, + 83, + 17, + 77, + 76, + 146, + 161, + 160, + 30, + 190, + 56, + 173, + 182, + 106, + 194, + 138, + 135, + 192, + 129, + 203, + 98, + 54, + 21, + 68, + 5, + 51, + 4, + 145, + 144, + 23, + 90, + 77, + 91, + 207, + 205, + 187, + 83, + 201, + 18, + 181, + 91, + 182, + 180, + 90, + 181, + 16, + 85, + 17, + 205, + 206, + 36, + 176, + 148, + 140, + 165, + 92, + 39, + 245, + 193, + 244, + 27, + 159, + 28, + 30, + 247, + 161, + 174, + 236, + 196, + 103, + 54, + 104, + 55, + 193, + 8, + 111, + 117, + 31, + 221, + 189, + 55, + 240, + 98, + 99, + 142, + 126, + 100, + 219, + 166, + 218, + 112, + 155, + 26, + 198, + 209, + 131, + 169, + 135, + 150, + 114, + 47, + 217, + 224, + 223, + 53, + 220, + 45, + 134, + 32, + 211, + 140, + 109, + 67, + 108, + 146, + 43, + 91, + 231, + 230, + 120, + 113, + 226, + 247, + 105, + 63, + 52, + 241, + 238, + 242, + 124, + 46, + 156, + 95, + 78, + 96, + 70, + 46, + 63, + 116, + 143, + 227, + 116, + 123, + 111, + 1, + 44, + 19, + 3, + 236, + 51, + 207, + 216, + 205, + 26, + 154, + 22, + 165, + 39, + 167, + 199, + 200, + 208, + 101, + 36, + 100, + 43, + 57, + 202, + 242, + 20, + 99, + 56, + 28, + 157, + 124, + 35, + 113, + 29, + 160, + 27, + 211, + 204, + 210, + 124, + 113, + 46, + 106, + 43, + 204, + 96, + 62, + 77, + 227, + 137, + 116, + 73, + 41, + 72, + 36, + 203, + 142, + 235, + 64, + 240, + 48, + 49, + 64, + 42, + 41, + 74, + 214, + 212, + 207, + 183, + 42, + 184, + 210, + 169, + 211, + 140, + 170, + 176, + 104, + 105, + 69, + 193, + 122, + 168, + 50, + 123, + 187, + 89, + 96, + 90, + 66, + 65, + 107, + 179, + 89, + 180, + 119, + 101, + 120, + 68, + 63, + 104, + 234, + 93, + 227, + 16, + 15, + 85, + 209, + 129, + 49, + 15, + 14, + 86, + 107, + 55, + 9, + 120, + 100, + 121, + 153, + 145, + 22, + 178, + 88, + 179, + 197, + 6, + 196, + 89, + 88, + 96, + 135, + 138, + 136, + 138, + 215, + 172, + 218, + 115, + 219, + 41, + 42, + 81, + 5, + 195, + 51, + 57, + 43, + 61, + 208, + 171, + 199, + 41, + 81, + 38, + 224, + 53, + 225, + 24, + 144, + 110, + 105, + 52, + 66, + 118, + 229, + 117, + 227, + 34, + 234, + 66, + 107, + 69, + 10, + 109, + 151, + 219, + 48, + 235, + 183, + 62, + 191, + 142, + 129, + 126, + 116, + 111, + 143, + 7, + 163, + 246, + 118, + 117, + 50, + 223, + 222, + 52, + 94, + 19, + 141, + 222, + 221, + 65, + 196, + 3, + 197, + 45, + 220, + 44, + 156, + 70, + 139, + 188, + 122, + 245, + 139, + 71, + 162, + 145, + 153, + 159, + 149, + 170, + 150, + 122, + 188, + 196, + 206, + 216, + 92, + 163, + 144, + 161, + 164, + 2, + 167, + 242, + 141, + 241, + 0, + 164, + 37, + 11, + 72, + 12, + 144, + 145, + 160, + 12, + 38, + 13, + 70, + 63, + 71, + 31, + 226, + 111, + 157, + 158, + 154, + 36, + 101, + 205, + 203, + 206, + 165, + 126, + 209, + 217, + 98, + 165, + 97, + 237, + 220, + 218, + 237, + 239, + 241, + 210, + 214, + 169, + 140, + 171, + 32, + 241, + 125, + 237, + 179, + 86, + 178, + 180, + 85, + 179, + 181, + 84, + 180, + 182, + 83, + 181, + 194, + 201, + 182, + 177, + 137, + 132, + 184, + 76, + 183, + 185, + 61, + 184, + 186, + 57, + 185, + 216, + 212, + 186, + 192, + 214, + 187, + 139, + 34, + 156, + 218, + 79, + 237, + 147, + 123, + 177, + 45, + 44, + 4, + 208, + 201, + 32, + 98, + 64, + 129, + 192, + 213, + 138, + 235, + 59, + 219, + 141, + 242, + 97, + 97, + 2, + 141, + 240, + 75, + 235, + 229, + 24, + 228, + 31, + 25, + 226, + 230, + 23, + 229, + 231, + 22, + 230, + 232, + 26, + 231, + 233, + 112, + 232, + 244, + 189, + 243, + 189, + 221, + 190, + 222, + 28, + 221, + 223, + 27, + 222, + 224, + 29, + 223, + 225, + 30, + 224, + 113, + 247, + 225, + 99, + 60, + 240, + 213, + 147, + 215, + 60, + 20, + 166, + 192, + 187, + 213, + 243, + 112, + 244, + 244, + 233, + 245, + 245, + 128, + 188, + 188, + 114, + 174, + 134, + 131, + 220, + 174, + 217, + 236, + 236, + 198, + 134, + 215, + 177, + 58, + 156, + 143, + 124, + 25, + 110, + 7, + 31, + 228, + 25, + 264, + 356, + 368, + 0, + 11, + 267, + 451, + 452, + 349, + 267, + 302, + 269, + 350, + 357, + 277, + 350, + 452, + 357, + 299, + 333, + 297, + 396, + 175, + 377, + 381, + 384, + 382, + 280, + 347, + 330, + 269, + 303, + 270, + 151, + 9, + 337, + 344, + 278, + 360, + 424, + 418, + 431, + 270, + 304, + 409, + 272, + 310, + 407, + 322, + 270, + 410, + 449, + 450, + 347, + 432, + 422, + 434, + 18, + 313, + 17, + 291, + 306, + 375, + 259, + 387, + 260, + 424, + 335, + 418, + 434, + 364, + 416, + 391, + 423, + 327, + 301, + 251, + 298, + 275, + 281, + 4, + 254, + 373, + 253, + 375, + 307, + 321, + 280, + 425, + 411, + 200, + 421, + 18, + 335, + 321, + 406, + 321, + 320, + 405, + 314, + 315, + 17, + 423, + 426, + 266, + 396, + 377, + 369, + 270, + 322, + 269, + 413, + 417, + 464, + 385, + 386, + 258, + 248, + 456, + 419, + 298, + 284, + 333, + 168, + 417, + 8, + 448, + 346, + 261, + 417, + 413, + 285, + 326, + 327, + 328, + 277, + 355, + 329, + 309, + 392, + 438, + 381, + 382, + 256, + 279, + 429, + 360, + 365, + 364, + 379, + 355, + 277, + 437, + 282, + 443, + 283, + 281, + 275, + 363, + 395, + 431, + 369, + 299, + 297, + 337, + 335, + 273, + 321, + 348, + 450, + 349, + 359, + 446, + 467, + 283, + 293, + 282, + 250, + 458, + 462, + 300, + 276, + 383, + 292, + 308, + 325, + 283, + 276, + 293, + 264, + 372, + 447, + 346, + 352, + 340, + 354, + 274, + 19, + 363, + 456, + 281, + 426, + 436, + 425, + 380, + 381, + 252, + 267, + 269, + 393, + 421, + 200, + 428, + 371, + 266, + 329, + 432, + 287, + 422, + 290, + 250, + 328, + 385, + 258, + 384, + 446, + 265, + 342, + 386, + 387, + 257, + 422, + 424, + 430, + 445, + 342, + 276, + 422, + 273, + 424, + 306, + 292, + 307, + 352, + 366, + 345, + 268, + 271, + 302, + 358, + 423, + 371, + 327, + 294, + 460, + 331, + 279, + 294, + 303, + 271, + 304, + 436, + 432, + 427, + 304, + 272, + 408, + 395, + 394, + 431, + 378, + 395, + 400, + 296, + 334, + 299, + 6, + 351, + 168, + 376, + 352, + 411, + 307, + 325, + 320, + 285, + 295, + 336, + 320, + 319, + 404, + 329, + 330, + 349, + 334, + 293, + 333, + 366, + 323, + 447, + 316, + 15, + 315, + 331, + 358, + 279, + 317, + 14, + 316, + 8, + 285, + 9, + 277, + 329, + 350, + 253, + 374, + 252, + 319, + 318, + 403, + 351, + 6, + 419, + 324, + 318, + 325, + 397, + 367, + 365, + 288, + 435, + 397, + 278, + 344, + 439, + 310, + 272, + 311, + 248, + 195, + 281, + 375, + 273, + 291, + 175, + 396, + 199, + 312, + 311, + 268, + 276, + 283, + 445, + 390, + 373, + 339, + 295, + 282, + 296, + 448, + 449, + 346, + 356, + 264, + 454, + 337, + 336, + 299, + 337, + 338, + 151, + 294, + 278, + 455, + 308, + 292, + 415, + 429, + 358, + 355, + 265, + 340, + 372, + 388, + 390, + 466, + 352, + 346, + 280, + 295, + 442, + 282, + 354, + 19, + 370, + 285, + 441, + 295, + 195, + 248, + 197, + 457, + 440, + 274, + 301, + 300, + 368, + 417, + 351, + 465, + 251, + 301, + 389, + 385, + 380, + 386, + 394, + 395, + 379, + 399, + 412, + 419, + 410, + 436, + 322, + 387, + 373, + 388, + 326, + 2, + 393, + 354, + 370, + 461, + 393, + 164, + 267, + 268, + 302, + 12, + 386, + 374, + 387, + 312, + 268, + 13, + 298, + 293, + 301, + 265, + 446, + 340, + 380, + 385, + 381, + 280, + 330, + 425, + 322, + 426, + 391, + 420, + 429, + 437, + 393, + 391, + 326, + 344, + 440, + 438, + 458, + 459, + 461, + 364, + 434, + 394, + 428, + 396, + 262, + 274, + 354, + 457, + 317, + 316, + 402, + 316, + 315, + 403, + 315, + 314, + 404, + 314, + 313, + 405, + 313, + 421, + 406, + 323, + 366, + 361, + 292, + 306, + 407, + 306, + 291, + 408, + 291, + 287, + 409, + 287, + 432, + 410, + 427, + 434, + 411, + 372, + 264, + 383, + 459, + 309, + 457, + 366, + 352, + 401, + 1, + 274, + 4, + 418, + 421, + 262, + 331, + 294, + 358, + 435, + 433, + 367, + 392, + 289, + 439, + 328, + 462, + 326, + 94, + 2, + 370, + 289, + 305, + 455, + 339, + 254, + 448, + 359, + 255, + 446, + 254, + 253, + 449, + 253, + 252, + 450, + 252, + 256, + 451, + 256, + 341, + 452, + 414, + 413, + 463, + 286, + 441, + 414, + 286, + 258, + 441, + 258, + 257, + 442, + 257, + 259, + 443, + 259, + 260, + 444, + 260, + 467, + 445, + 309, + 459, + 250, + 305, + 289, + 290, + 305, + 290, + 460, + 401, + 376, + 435, + 309, + 250, + 392, + 376, + 411, + 433, + 453, + 341, + 464, + 357, + 453, + 465, + 343, + 357, + 412, + 437, + 343, + 399, + 344, + 360, + 440, + 420, + 437, + 456, + 360, + 420, + 363, + 361, + 401, + 288, + 265, + 372, + 353, + 390, + 339, + 249, + 339, + 448, + 255 +]; +var VTX68 = [ + /* cont */ + 127, + 234, + 132, + 58, + 172, + 150, + 149, + 148, + 152, + 377, + 378, + 379, + 397, + 288, + 361, + 454, + 356, + /* brows */ + 70, + 63, + 105, + 66, + 107, + 336, + 296, + 334, + 293, + 300, + /* nose */ + 168, + 6, + 195, + 4, + 98, + 97, + 2, + 326, + 327, + /* eyes */ + 33, + 160, + 158, + 133, + 153, + 144, + 362, + 385, + 387, + 263, + 373, + 380, + /* lip */ + 57, + 40, + 37, + 0, + 267, + 270, + 287, + 321, + 314, + 17, + 84, + 91, + /* mouth */ + 78, + 81, + 13, + 311, + 308, + 402, + 14, + 178 +]; +var VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152]; +var VTX7 = [33, 133, 362, 263, 1, 78, 308]; +var UV68 = VTX68.map((x) => UV468[x]); +var UV33 = VTX33.map((x) => UV468[x]); +var UV7 = VTX7.map((x) => UV468[x]); +function connectionsToIndices(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var pairsLips = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var pairsLeftEye = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var pairsLeftEyebrow = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var pairsLeftIris = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var pairsRightEye = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var pairsRightEyebrow = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var pairsRightIris = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var pairsFaceContour = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +var contourKeypoints = { + lips: connectionsToIndices(pairsLips), + leftEye: connectionsToIndices(pairsLeftEye), + leftEyebrow: connectionsToIndices(pairsLeftEyebrow), + leftIris: connectionsToIndices(pairsLeftIris), + rightEye: connectionsToIndices(pairsRightEye), + rightEyebrow: connectionsToIndices(pairsRightEyebrow), + rightIris: connectionsToIndices(pairsRightIris), + faceOval: connectionsToIndices(pairsFaceContour) +}; + +// src/face/constants.ts +var LIPS_CONNECTIONS = [ + [61, 146], + [146, 91], + [91, 181], + [181, 84], + [84, 17], + [17, 314], + [314, 405], + [405, 321], + [321, 375], + [375, 291], + [61, 185], + [185, 40], + [40, 39], + [39, 37], + [37, 0], + [0, 267], + [267, 269], + [269, 270], + [270, 409], + [409, 291], + [78, 95], + [95, 88], + [88, 178], + [178, 87], + [87, 14], + [14, 317], + [317, 402], + [402, 318], + [318, 324], + [324, 308], + [78, 191], + [191, 80], + [80, 81], + [81, 82], + [82, 13], + [13, 312], + [312, 311], + [311, 310], + [310, 415], + [415, 308] +]; +var LEFT_EYE_CONNECTIONS = [[263, 249], [249, 390], [390, 373], [373, 374], [374, 380], [380, 381], [381, 382], [382, 362], [263, 466], [466, 388], [388, 387], [387, 386], [386, 385], [385, 384], [384, 398], [398, 362]]; +var LEFT_EYEBROW_CONNECTIONS = [[276, 283], [283, 282], [282, 295], [295, 285], [300, 293], [293, 334], [334, 296], [296, 336]]; +var LEFT_IRIS_CONNECTIONS = [[474, 475], [475, 476], [476, 477], [477, 474]]; +var RIGHT_EYE_CONNECTIONS = [[33, 7], [7, 163], [163, 144], [144, 145], [145, 153], [153, 154], [154, 155], [155, 133], [33, 246], [246, 161], [161, 160], [160, 159], [159, 158], [158, 157], [157, 173], [173, 133]]; +var RIGHT_EYEBROW_CONNECTIONS = [[46, 53], [53, 52], [52, 65], [65, 55], [70, 63], [63, 105], [105, 66], [66, 107]]; +var RIGHT_IRIS_CONNECTIONS = [[469, 470], [470, 471], [471, 472], [472, 469]]; +var FACE_OVAL_CONNECTIONS = [ + [10, 338], + [338, 297], + [297, 332], + [332, 284], + [284, 251], + [251, 389], + [389, 356], + [356, 454], + [454, 323], + [323, 361], + [361, 288], + [288, 397], + [397, 365], + [365, 379], + [379, 378], + [378, 400], + [400, 377], + [377, 152], + [152, 148], + [148, 176], + [176, 149], + [149, 150], + [150, 136], + [136, 172], + [172, 58], + [58, 132], + [132, 93], + [93, 234], + [234, 127], + [127, 162], + [162, 21], + [21, 54], + [54, 103], + [103, 67], + [67, 109], + [109, 10] +]; +function connectionsToIndices2(connections) { + const indices = connections.map((connection) => connection[0]); + indices.push(connections[connections.length - 1][1]); + return indices; +} +var MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR = { + lips: connectionsToIndices2(LIPS_CONNECTIONS), + leftEye: connectionsToIndices2(LEFT_EYE_CONNECTIONS), + leftEyebrow: connectionsToIndices2(LEFT_EYEBROW_CONNECTIONS), + leftIris: connectionsToIndices2(LEFT_IRIS_CONNECTIONS), + rightEye: connectionsToIndices2(RIGHT_EYE_CONNECTIONS), + rightEyebrow: connectionsToIndices2(RIGHT_EYEBROW_CONNECTIONS), + rightIris: connectionsToIndices2(RIGHT_IRIS_CONNECTIONS), + faceOval: connectionsToIndices2(FACE_OVAL_CONNECTIONS) +}; +var indexLabelPairs = Object.entries(MEDIAPIPE_FACE_MESH_KEYPOINTS_BY_CONTOUR).map(([label, indices]) => indices.map((index2) => [index2, label])).flat(); +var MEDIAPIPE_FACE_MESH_KEYPOINTS = new Map(indexLabelPairs); +var LANDMARKS_REFINEMENT_LIPS_CONFIG = [ + 61, + 146, + 91, + 181, + 84, + 17, + 314, + 405, + 321, + 375, + 291, + // Lower outer. + 185, + 40, + 39, + 37, + 0, + 267, + 269, + 270, + 409, + // Upper outer(excluding corners). + 78, + 95, + 88, + 178, + 87, + 14, + 317, + 402, + 318, + 324, + 308, + // Lower inner. + 191, + 80, + 81, + 82, + 13, + 312, + 311, + 310, + 415, + // Upper inner(excluding corners). + 76, + 77, + 90, + 180, + 85, + 16, + 315, + 404, + 320, + 307, + 306, + // Lower semi - outer. + 184, + 74, + 73, + 72, + 11, + 302, + 303, + 304, + 408, + // Upper semi - outer(excluding corners). + 62, + 96, + 89, + 179, + 86, + 15, + 316, + 403, + 319, + 325, + 292, + // Lower semi - inner. + 183, + 42, + 41, + 38, + 12, + 268, + 271, + 272, + 407 + // Upper semi - inner(excluding corners). +]; +var LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG = [ + 33, + 7, + 163, + 144, + 145, + 153, + 154, + 155, + 133, + // Lower contour. + 246, + 161, + 160, + 159, + 158, + 157, + 173, + // upper contour (excluding corners). + 130, + 25, + 110, + 24, + 23, + 22, + 26, + 112, + 243, + // Halo x2 lower contour. + 247, + 30, + 29, + 27, + 28, + 56, + 190, + // Halo x2 upper contour (excluding corners). + 226, + 31, + 228, + 229, + 230, + 231, + 232, + 233, + 244, + // Halo x3 lower contour. + 113, + 225, + 224, + 223, + 222, + 221, + 189, + // Halo x3 upper contour (excluding corners). + 35, + 124, + 46, + 53, + 52, + 65, + // Halo x4 upper contour (no lower because of mesh structure) or eyebrow inner contour. + 143, + 111, + 117, + 118, + 119, + 120, + 121, + 128, + 245, + // Halo x5 lower contour. + 156, + 70, + 63, + 105, + 66, + 107, + 55, + 193 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; +var LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG = [ + 263, + 249, + 390, + 373, + 374, + 380, + 381, + 382, + 362, + // Lower contour. + 466, + 388, + 387, + 386, + 385, + 384, + 398, + // Upper contour (excluding corners). + 359, + 255, + 339, + 254, + 253, + 252, + 256, + 341, + 463, + // Halo x2 lower contour. + 467, + 260, + 259, + 257, + 258, + 286, + 414, + // Halo x2 upper contour (excluding corners). + 446, + 261, + 448, + 449, + 450, + 451, + 452, + 453, + 464, + // Halo x3 lower contour. + 342, + 445, + 444, + 443, + 442, + 441, + 413, + // Halo x3 upper contour (excluding corners). + 265, + 353, + 276, + 283, + 282, + 295, + // Halo x4 upper contour (no lower because of mesh structure) or/ eyebrow inner contour. + 372, + 340, + 346, + 347, + 348, + 349, + 350, + 357, + 465, + // Halo x5 lower contour. + 383, + 300, + 293, + 334, + 296, + 336, + 285, + 417 + // Halo x5 upper contour (excluding corners) or eyebrow outer contour. +]; + +// src/draw/face.ts +var localOptions; +function drawLabels(f, ctx) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i; + if (!localOptions.drawLabels || ((_a = localOptions.faceLabels) == null ? void 0 : _a.length) === 0) + return; + let l = localOptions.faceLabels.slice(); + l = replace(l, "[id]", f.id.toFixed(0)); + if (f.score) + l = replace(l, "[score]", 100 * f.score); + if (f.gender) + l = replace(l, "[gender]", f.gender); + if (f.genderScore) + l = replace(l, "[genderScore]", 100 * f.genderScore); + if (f.age) + l = replace(l, "[age]", f.age); + if (f.distance) + l = replace(l, "[distance]", 100 * f.distance); + if (f.real) + l = replace(l, "[real]", 100 * f.real); + if (f.live) + l = replace(l, "[live]", 100 * f.live); + if (f.emotion && f.emotion.length > 0) { + const emotion2 = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`); + if (emotion2.length > 3) + emotion2.length = 3; + l = replace(l, "[emotions]", emotion2.join(" ")); + } + if ((_c = (_b = f.rotation) == null ? void 0 : _b.angle) == null ? void 0 : _c.roll) + l = replace(l, "[roll]", rad2deg(f.rotation.angle.roll)); + if ((_e = (_d = f.rotation) == null ? void 0 : _d.angle) == null ? void 0 : _e.yaw) + l = replace(l, "[yaw]", rad2deg(f.rotation.angle.yaw)); + if ((_g = (_f = f.rotation) == null ? void 0 : _f.angle) == null ? void 0 : _g.pitch) + l = replace(l, "[pitch]", rad2deg(f.rotation.angle.pitch)); + if ((_i = (_h = f.rotation) == null ? void 0 : _h.gaze) == null ? void 0 : _i.bearing) + l = replace(l, "[gaze]", rad2deg(f.rotation.gaze.bearing)); + labels(ctx, l, f.box[0], f.box[1], localOptions); +} +function drawIrisElipse(f, ctx) { + var _a, _b, _c, _d; + if (((_a = f.annotations) == null ? void 0 : _a.leftEyeIris) && ((_b = f.annotations) == null ? void 0 : _b.leftEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } + if (((_c = f.annotations) == null ? void 0 : _c.rightEyeIris) && ((_d = f.annotations) == null ? void 0 : _d.rightEyeIris[0])) { + ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color; + ctx.beginPath(); + const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2; + const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2; + ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI); + ctx.stroke(); + if (localOptions.fillPolygons) { + ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color; + ctx.fill(); + } + } +} +function drawGazeSpheres(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.angle) && typeof Path2D !== "undefined") { + ctx.strokeStyle = "pink"; + const valX = f.box[0] + f.box[2] / 2 - f.box[3] * rad2deg(f.rotation.angle.yaw) / 90; + const valY = f.box[1] + f.box[3] / 2 + f.box[2] * rad2deg(f.rotation.angle.pitch) / 90; + const pathV = new Path2D(` + M ${f.box[0] + f.box[2] / 2} ${f.box[1]} C - ${o} ${e.box[1]}, - ${o} ${e.box[1]+e.box[3]}, - ${e.box[0]+e.box[2]/2} ${e.box[1]+e.box[3]} - `),A=new Path2D(` - M ${e.box[0]} ${e.box[1]+e.box[3]/2} + ${valX} ${f.box[1]}, + ${valX} ${f.box[1] + f.box[3]}, + ${f.box[0] + f.box[2] / 2} ${f.box[1] + f.box[3]} + `); + const pathH = new Path2D(` + M ${f.box[0]} ${f.box[1] + f.box[3] / 2} C - ${e.box[0]} ${r}, - ${e.box[0]+e.box[2]} ${r}, - ${e.box[0]+e.box[2]} ${e.box[1]+e.box[3]/2} - `);t.stroke(A),t.stroke(s)}}function Vs(e,t){var n;if(q.drawGaze&&((n=e.rotation)!=null&&n.gaze.strength)&&e.rotation.gaze.bearing&&e.annotations.leftEyeIris&&e.annotations.rightEyeIris&&e.annotations.leftEyeIris[0]&&e.annotations.rightEyeIris[0]){t.strokeStyle="pink",t.fillStyle="pink";let o=[e.annotations.leftEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.leftEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];o5(t,[e.annotations.leftEyeIris[0][0],e.annotations.leftEyeIris[0][1]],[o[0],o[1]],4);let r=[e.annotations.rightEyeIris[0][0]+Math.sin(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[3],e.annotations.rightEyeIris[0][1]+Math.cos(e.rotation.gaze.bearing)*e.rotation.gaze.strength*e.box[2]];o5(t,[e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1]],[r[0],r[1]],4)}}function Zs(e,t){if(q.drawPolygons&&e.mesh.length>=468){t.lineWidth=1;for(let n=0;n<$e.length/3;n++){let o=[$e[n*3+0],$e[n*3+1],$e[n*3+2]].map(r=>e.mesh[r]);n5(t,o,q)}Hs(e,t)}}function Xs(e,t){if(q.drawPoints)if((e==null?void 0:e.mesh.length)>=468)for(let n=0;n0&&(Xs(r,o),Zs(r,o),Gs(r,o),Vs(r,o))}}function _2(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round";for(let a=0;a0)){let l=o.bodyLabels.slice();l=Y(l,"[id]",t[a].id.toFixed(0)),l=Y(l,"[score]",100*t[a].score),re(r,l,t[a].box[0],t[a].box[1],o)}if(o.drawPoints&&t[a].keypoints)for(let l=0;l0&&t[a].keypoints){r.font=o.font;for(let l of t[a].keypoints){if(!l.score||l.score===0)continue;let c=o.bodyPartLabels.slice();c=Y(c,"[label]",l.part),c=Y(c,"[score]",100*l.score),re(r,c,l.position[0],l.position[1],o)}}if(o.drawPolygons&&t[a].keypoints&&t[a].annotations)for(let l of Object.values(t[a].annotations))for(let c of l)K1(r,c,o)}}}function $2(e,t,n){var s,A;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let a of t){if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,a.box[0],a.box[1],a.box[2],a.box[3],o),o.drawLabels&&((s=o.handLabels)==null?void 0:s.length)>0){let l=o.handLabels.slice();l=Y(l,"[id]",a.id.toFixed(0)),l=Y(l,"[label]",a.label),l=Y(l,"[score]",100*a.score),re(r,l,a.box[0],a.box[1],o)}r.stroke()}if(o.drawPoints&&a.keypoints&&a.keypoints.length>0)for(let l of a.keypoints)r.fillStyle=Qe(l[2],o),he(r,l[0],l[1],0,o);if(o.drawLabels&&a.annotations&&((A=o.fingerLabels)==null?void 0:A.length)>0)for(let[l,c]of Object.entries(a.annotations)){let x=o.fingerLabels.slice();x=Y(x,"[label]",l),re(r,x,c[c.length-1][0],c[c.length-1][1],o)}if(o.drawPolygons&&a.annotations){let l=c=>{if(!(!c||c.length===0||!c[0]))for(let x=0;x0?x-1:0][0],c[x>0?x-1:0][1]),r.lineTo(c[x][0],c[x][1]),r.stroke()}};r.lineWidth=o.lineWidth,l(a.annotations.index),l(a.annotations.middle),l(a.annotations.ring),l(a.annotations.pinky),l(a.annotations.thumb)}}}}function et(e,t,n){var s;let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let A of t)if(o.drawBoxes){if(r.strokeStyle=o.color,r.fillStyle=o.color,be(r,A.box[0],A.box[1],A.box[2],A.box[3],o),o.drawLabels&&((s=o.objectLabels)==null?void 0:s.length)>0){let a=o.objectLabels.slice();a=Y(a,"[id]",A.id.toFixed(0)),a=Y(a,"[label]",A.label),a=Y(a,"[score]",100*A.score),re(r,a,A.box[0],A.box[1],o)}r.stroke()}}}function tt(e,t,n){var r;let o=a0(f0,n);if(!(!t||!e)&&o.drawGestures&&((r=o.gestureLabels)==null?void 0:r.length)>0){let s=oe(e);if(!s)return;s.font=o.font,s.fillStyle=o.color;let A=1;for(let a=0;a1&&c[1].length>0){let x=l[1]>0?`#${l[1]}`:"",i=o.gestureLabels.slice();i=Y(i,"[where]",l[0]),i=Y(i,"[who]",x),i=Y(i,"[what]",c[1]),re(s,i,8,2+A*o.lineHeight,o),A+=1}}}}var Ne={face:`face + ${f.box[0]} ${valY}, + ${f.box[0] + f.box[2]} ${valY}, + ${f.box[0] + f.box[2]} ${f.box[1] + f.box[3] / 2} + `); + ctx.stroke(pathH); + ctx.stroke(pathV); + } +} +function drawGazeArrows(f, ctx) { + var _a; + if (localOptions.drawGaze && ((_a = f.rotation) == null ? void 0 : _a.gaze.strength) && f.rotation.gaze.bearing && f.annotations.leftEyeIris && f.annotations.rightEyeIris && f.annotations.leftEyeIris[0] && f.annotations.rightEyeIris[0]) { + ctx.strokeStyle = "pink"; + ctx.fillStyle = "pink"; + const leftGaze = [ + f.annotations.leftEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.leftEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1]], [leftGaze[0], leftGaze[1]], 4); + const rightGaze = [ + f.annotations.rightEyeIris[0][0] + Math.sin(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[3], + f.annotations.rightEyeIris[0][1] + Math.cos(f.rotation.gaze.bearing) * f.rotation.gaze.strength * f.box[2] + ]; + arrow(ctx, [f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1]], [rightGaze[0], rightGaze[1]], 4); + } +} +function drawFacePolygons(f, ctx) { + if (localOptions.drawPolygons && f.mesh.length >= 468) { + ctx.lineWidth = 1; + for (let i = 0; i < TRI468.length / 3; i++) { + const points = [TRI468[i * 3 + 0], TRI468[i * 3 + 1], TRI468[i * 3 + 2]].map((index2) => f.mesh[index2]); + lines(ctx, points, localOptions); + } + drawIrisElipse(f, ctx); + } +} +function drawFacePoints(f, ctx) { + if (localOptions.drawPoints) { + if ((f == null ? void 0 : f.mesh.length) >= 468) { + for (let i = 0; i < f.mesh.length; i++) { + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2], localOptions); + if (localOptions.drawAttention) { + if (LANDMARKS_REFINEMENT_LIPS_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] + 127, localOptions); + if (LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + if (LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.includes(i)) + point(ctx, f.mesh[i][0], f.mesh[i][1], f.mesh[i][2] - 127, localOptions); + } + } + } else { + for (const [k, v] of Object.entries((f == null ? void 0 : f.annotations) || {})) { + if (!(v == null ? void 0 : v[0])) + continue; + const pt = v[0]; + point(ctx, pt[0], pt[1], 0, localOptions); + if (localOptions.drawLabels) + labels(ctx, k, pt[0], pt[1], localOptions); + } + } + } +} +function drawFaceBoxes(f, ctx) { + if (localOptions.drawBoxes) { + rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions); + } +} +function face(inCanvas2, result, drawOptions) { + localOptions = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions.font; + ctx.strokeStyle = localOptions.color; + ctx.fillStyle = localOptions.color; + for (const f of result) { + drawFaceBoxes(f, ctx); + drawLabels(f, ctx); + if (f.mesh && f.mesh.length > 0) { + drawFacePoints(f, ctx); + drawFacePolygons(f, ctx); + drawGazeSpheres(f, ctx); + drawGazeArrows(f, ctx); + } + } +} + +// src/draw/body.ts +function body(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + for (let i = 0; i < result.length; i++) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + ctx.lineWidth = localOptions2.lineWidth; + ctx.font = localOptions2.font; + if (localOptions2.drawBoxes && result[i].box && result[i].box.length === 4) { + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.bodyLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.bodyLabels.slice(); + l = replace(l, "[id]", result[i].id.toFixed(0)); + l = replace(l, "[score]", 100 * result[i].score); + labels(ctx, l, result[i].box[0], result[i].box[1], localOptions2); + } + } + if (localOptions2.drawPoints && result[i].keypoints) { + for (let pt = 0; pt < result[i].keypoints.length; pt++) { + if (!result[i].keypoints[pt].score || result[i].keypoints[pt].score === 0) + continue; + ctx.fillStyle = colorDepth(result[i].keypoints[pt].position[2], localOptions2); + point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions2); + } + } + if (localOptions2.drawLabels && ((_b = localOptions2.bodyPartLabels) == null ? void 0 : _b.length) > 0 && result[i].keypoints) { + ctx.font = localOptions2.font; + for (const pt of result[i].keypoints) { + if (!pt.score || pt.score === 0) + continue; + let l = localOptions2.bodyPartLabels.slice(); + l = replace(l, "[label]", pt.part); + l = replace(l, "[score]", 100 * pt.score); + labels(ctx, l, pt.position[0], pt.position[1], localOptions2); + } + } + if (localOptions2.drawPolygons && result[i].keypoints && result[i].annotations) { + for (const part of Object.values(result[i].annotations)) { + for (const connected4 of part) + curves(ctx, connected4, localOptions2); + } + } + } +} + +// src/draw/hand.ts +function hand(inCanvas2, result, drawOptions) { + var _a, _b; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.handLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.handLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + if (localOptions2.drawPoints) { + if (h.keypoints && h.keypoints.length > 0) { + for (const pt of h.keypoints) { + ctx.fillStyle = colorDepth(pt[2], localOptions2); + point(ctx, pt[0], pt[1], 0, localOptions2); + } + } + } + if (localOptions2.drawLabels && h.annotations && ((_b = localOptions2.fingerLabels) == null ? void 0 : _b.length) > 0) { + for (const [part, pt] of Object.entries(h.annotations)) { + let l = localOptions2.fingerLabels.slice(); + l = replace(l, "[label]", part); + labels(ctx, l, pt[pt.length - 1][0], pt[pt.length - 1][1], localOptions2); + } + } + if (localOptions2.drawPolygons && h.annotations) { + const addHandLine = (part) => { + if (!part || part.length === 0 || !part[0]) + return; + for (let i = 0; i < part.length; i++) { + ctx.beginPath(); + const z = part[i][2] || 0; + ctx.strokeStyle = colorDepth(i * z, localOptions2); + ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]); + ctx.lineTo(part[i][0], part[i][1]); + ctx.stroke(); + } + }; + ctx.lineWidth = localOptions2.lineWidth; + addHandLine(h.annotations.index); + addHandLine(h.annotations.middle); + addHandLine(h.annotations.ring); + addHandLine(h.annotations.pinky); + addHandLine(h.annotations.thumb); + } + } +} + +// src/draw/object.ts +function object(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (const h of result) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions2); + if (localOptions2.drawLabels && ((_a = localOptions2.objectLabels) == null ? void 0 : _a.length) > 0) { + let l = localOptions2.objectLabels.slice(); + l = replace(l, "[id]", h.id.toFixed(0)); + l = replace(l, "[label]", h.label); + l = replace(l, "[score]", 100 * h.score); + labels(ctx, l, h.box[0], h.box[1], localOptions2); + } + ctx.stroke(); + } + } +} + +// src/draw/gesture.ts +function gesture(inCanvas2, result, drawOptions) { + var _a; + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + if (localOptions2.drawGestures && ((_a = localOptions2.gestureLabels) == null ? void 0 : _a.length) > 0) { + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.font = localOptions2.font; + ctx.fillStyle = localOptions2.color; + let i = 1; + for (let j = 0; j < result.length; j++) { + const [where, what] = Object.entries(result[j]); + if (what.length > 1 && what[1].length > 0) { + const who = where[1] > 0 ? `#${where[1]}` : ""; + let l = localOptions2.gestureLabels.slice(); + l = replace(l, "[where]", where[0]); + l = replace(l, "[who]", who); + l = replace(l, "[what]", what[1]); + labels(ctx, l, 8, 2 + i * localOptions2.lineHeight, localOptions2); + i += 1; + } + } + } +} + +// src/draw/labels.ts +var defaultLabels = { + face: `face confidence: [score]% [gender] [genderScore]% age: [age] years @@ -118,7 +6614,7715 @@ live: [live]% [emotions] roll: [roll]\xB0 yaw:[yaw]\xB0 pitch:[pitch]\xB0 - gaze: [gaze]\xB0`,body:"body [score]%",bodyPart:"[label] [score]%",object:"[label] [score]%",hand:"[label] [score]%",finger:"[label]",gesture:"[where] [who]: [what]"};var a5=0;function Us(e,t,n){let o=a0(f0,n);if(!t||!e)return;let r=oe(e);if(r){r.lineJoin="round",r.font=o.font;for(let s=0;sc5,kpt:()=>l5});var l5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],c5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var D=G(H());var se,n2=224,_1,Js=5,rt=[8,16,32,32,32];function Qs(){let e=[],t=0;for(;tn.x)),y:D.tensor1d(e.map(n=>n.y))}}async function $1(e){if(R.initial&&(se=null),!se&&e.body.detector&&e.body.detector.modelPath){se=await L(e.body.detector.modelPath);let t=se!=null&&se.executor?Object.values(se.modelSignature.inputs):void 0;n2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}else e.debug&&se&&h("cached model:",se.modelUrl);return Qs(),se}var Q1=[5,5];function _s(e,t){return D.tidy(()=>{let n=D.split(e,12,1),o=D.squeeze(n[0]),r=D.squeeze(n[1]),s=D.squeeze(n[2]),A=D.squeeze(n[3]);o=D.add(D.div(o,n2),t.x),r=D.add(D.div(r,n2),t.y),s=D.mul(D.div(s,n2),Q1[0]),A=D.mul(D.div(A,n2),Q1[1]);let a=D.sub(o,D.div(s,2)),l=D.sub(r,D.div(A,2)),c=D.add(a,s),x=D.add(l,A);return D.stack([a,l,c,x],1)})}async function $s(e,t,n,o){var c,x;let r=[],s={};s.boxes=_s(e,_1),s.scores=D.sigmoid(t),s.nms=await D.image.nonMaxSuppressionAsync(s.boxes,s.scores,1,((c=n.body.detector)==null?void 0:c.minConfidence)||.1,((x=n.body.detector)==null?void 0:x.iouThreshold)||.1);let A=await s.nms.data(),a=await s.scores.data(),l=await s.boxes.array();for(let i of Array.from(A)){let f=a[i],d=l[i],m=[Math.round(d[0]*o[0]),Math.round(d[1]*o[1]),Math.round(d[2]*o[0]),Math.round(d[3]*o[1])],y={score:f,boxRaw:d,box:m};r.push(y)}return Object.keys(s).forEach(i=>D.dispose(s[i])),r}async function e3(e,t,n){let o={};o.res=se==null?void 0:se.execute(e,["Identity"]),o.logitsRaw=D.slice(o.res,[0,0,0],[1,-1,1]),o.boxesRaw=D.slice(o.res,[0,0,1],[1,-1,-1]),o.logits=D.squeeze(o.logitsRaw),o.boxes=D.squeeze(o.boxesRaw);let r=await $s(o.boxes,o.logits,t,n);return Object.keys(o).forEach(s=>D.dispose(o[s])),r}function Le(e,t=[1,1]){let n=[e.map(a=>a[0]),e.map(a=>a[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[o[0],o[1],r[0]-o[0],r[1]-o[1]],A=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:A}}function t3(e,t=[1,1]){let n=[e.map(c=>c[0]),e.map(c=>c[1])],o=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[(o[0]+r[0])/2,(o[1]+r[1])/2],A=Math.max(s[0]-o[0],s[1]-o[1],-s[0]+r[0],-s[1]+r[1]),a=[Math.trunc(s[0]-A),Math.trunc(s[1]-A),Math.trunc(2*A),Math.trunc(2*A)],l=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:l}}function st(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var Z0,x5=256,d5=Number.MAX_SAFE_INTEGER,eA={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},at=[],Oe=[[0,0],[0,0],[0,0],[0,0]],n3=0,o3=e=>1-1/(1+Math.exp(e)),s3=e=>$1(e);async function A3(e){if(R.initial&&(Z0=null),Z0)e.debug&&h("cached model:",Z0.modelUrl);else{Z0=await L(e.body.modelPath);let t=Z0!=null&&Z0.executor?Object.values(Z0.modelSignature.inputs):void 0;x5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0}return Z0}function r3(e,t,n){var s,A;let o={};if(!((s=e==null?void 0:e.shape)!=null&&s[1])||!((A=e==null?void 0:e.shape)!=null&&A[2]))return e;let r;if(n&&(o.cropped=X0.image.cropAndResize(e,[n],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let a=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],l=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];Oe=[[0,0],a,l,[0,0]],o.pad=X0.pad(o.cropped||e,Oe),o.resize=X0.image.resizeBilinear(o.pad,[t,t]),r=X0.div(o.resize,C.tf255)}else e.shape[1]!==t?(o.resize=X0.image.resizeBilinear(o.cropped||e,[t,t]),r=X0.div(o.resize,C.tf255)):r=X0.div(o.cropped||e,C.tf255);return Object.keys(o).forEach(a=>X0.dispose(o[a])),r}function tA(e,t,n){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+Oe[2][0]+Oe[2][1])/t[0]-Oe[2][0]),Math.trunc(o.position[1]*(t[1]+Oe[1][0]+Oe[1][1])/t[1]-Oe[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(n){let o=n[2]-n[0],r=n[3]-n[1];for(let s of e)s.positionRaw=[s.positionRaw[0]/r+n[1],s.positionRaw[1]/o+n[0],s.positionRaw[2]],s.position=[Math.trunc(s.positionRaw[0]*t[0]),Math.trunc(s.positionRaw[1]*t[1]),s.positionRaw[2]]}return e}function nA(e){let t=e.find(a=>a.part==="leftPalm"),n=e.find(a=>a.part==="leftWrist"),o=e.find(a=>a.part==="leftIndex");t.position[2]=((n.position[2]||0)+(o.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),s=e.find(a=>a.part==="rightWrist"),A=e.find(a=>a.part==="rightIndex");r.position[2]=((s.position[2]||0)+(A.position[2]||0))/2}async function oA(e,t,n){if(!(Z0!=null&&Z0.executor))return null;let o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=Z0==null?void 0:Z0.execute(e,eA.landmarks);let r=(await o.poseflag.data())[0],s=await o.ld.data(),A=await o.world.data();Object.keys(o).forEach(m=>X0.dispose(o[m]));let a=[],l=5;for(let m=0;mm.position),i=Le(x,[n[0],n[1]]),f={};for(let[m,y]of Object.entries(c5)){let u=[];for(let T=0;Tb.part===y[T]),p=c.find(b=>b.part===y[T+1]);g&&p&&u.push([g.position,p.position])}f[m]=u}return{id:0,score:Math.trunc(100*r)/100,box:i.box,boxRaw:i.boxRaw,keypoints:c,annotations:f}}async function y5(e,t){var s,A,a;let n=[e.shape[2]||0,e.shape[1]||0],o=(t.body.skipTime||0)>v()-n3,r=d5<(t.body.skipFrames||0);if(t.skipAllowed&&o&&r&&at!==null)d5++;else{let l=[];if((A=(s=t.body)==null?void 0:s.detector)!=null&&A.enabled){let c=r3(e,224);l=await e3(c,t,n),X0.dispose(c)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let c=0;cF0.dispose(o[c])),r}async function p5(e,t){if(!(q0!=null&&q0.executor))return[];let n=(t.object.skipTime||0)>v()-i3,o=m5<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&f5.length>0?(m5++,f5):(m5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=F0.image.resizeBilinear(e,[o2,o2]),a=t.object.enabled?q0==null?void 0:q0.execute(A,["tower_0/detections"]):null;i3=v(),F0.dispose(A);let l=await rA(a,s,t);f5=l,r(l)}))}var J=G(H());var it={};ze(it,{connected:()=>h5,kpt:()=>u5});var u5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],h5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var i0,d3=0,B0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},b5=Number.MAX_SAFE_INTEGER;async function x3(e){return R.initial&&(i0=null),i0?e.debug&&h("cached model:",i0.modelUrl):i0=await L(e.body.modelPath),i0}async function sA(e,t){let[n,o]=e.shape,r=J.reshape(e,[o*n]),s=J.max(r,0),A=(await s.data())[0];if(A>t){let a=J.argMax(r,0),l=J.mod(a,n),c=(await l.data())[0],x=J.div(a,n),i=(await x.data())[0];return J.dispose([r,s,a,l,x]),[c,i,A]}return J.dispose([r,s]),[0,0,A]}async function g5(e,t){if(!(i0!=null&&i0.executor)||!(i0!=null&&i0.inputs[0].shape))return[];let n=(t.body.skipTime||0)>v()-d3,o=b5<(t.body.skipFrames||0);return t.skipAllowed&&n&&o&&Object.keys(B0.keypoints).length>0?(b5++,[B0]):(b5=0,new Promise(async r=>{let s=J.tidy(()=>{var m,y;let i=J.image.resizeBilinear(e,[((m=i0==null?void 0:i0.inputs[0].shape)==null?void 0:m[2])||0,((y=i0==null?void 0:i0.inputs[0].shape)==null?void 0:y[1])||0],!1),f=J.mul(i,C.tf2);return J.sub(f,C.tf1)}),A;if(t.body.enabled&&(A=i0==null?void 0:i0.execute(s)),d3=v(),J.dispose(s),A){B0.keypoints.length=0;let i=J.squeeze(A);J.dispose(A);let f=J.unstack(i,2);J.dispose(i);for(let d=0;d(t.body.minConfidence||0)&&B0.keypoints.push({score:Math.round(100*u)/100,part:u5[d],positionRaw:[m/i0.inputs[0].shape[2],y/i0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/i0.inputs[0].shape[2]),Math.round(e.shape[1]*y/i0.inputs[0].shape[1])]})}f.forEach(d=>J.dispose(d))}B0.score=B0.keypoints.reduce((i,f)=>f.score>i?f.score:i,0);let a=B0.keypoints.map(i=>i.position[0]),l=B0.keypoints.map(i=>i.position[1]);B0.box=[Math.min(...a),Math.min(...l),Math.max(...a)-Math.min(...a),Math.max(...l)-Math.min(...l)];let c=B0.keypoints.map(i=>i.positionRaw[0]),x=B0.keypoints.map(i=>i.positionRaw[1]);B0.boxRaw=[Math.min(...c),Math.min(...x),Math.max(...c)-Math.min(...c),Math.max(...x)-Math.min(...x)];for(let[i,f]of Object.entries(h5)){let d=[];for(let m=0;mT.part===f[m]),u=B0.keypoints.find(T=>T.part===f[m+1]);y&&u&&y.score>(t.body.minConfidence||0)&&u.score>(t.body.minConfidence||0)&&d.push([y.position,u.position])}B0.annotations[i]=d}r([B0])}))}var l0=G(H());var De=G(H());var O=G(H());var Me=G(H());var p2=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],lt=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],ct=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],dt=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],p3=(e,t,n)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],s=e.landmarks.map(A=>[(A[0]+n[0])*t[0],(A[1]+n[1])*t[1]]);return{startPoint:o,endPoint:r,landmarks:s,confidence:e.confidence}},T5=(e,t,n)=>{let o=t.shape[1],r=t.shape[2],s=[e.startPoint[1]/o,e.startPoint[0]/r,e.endPoint[1]/o,e.endPoint[0]/r],A=Me.image.cropAndResize(t,[s],[0],n),a=Me.div(A,C.tf255);return Me.dispose(A),a},xt=(e,t)=>{let n=lt(e),o=p2(e),r=[t*o[0]/2,t*o[1]/2];return{startPoint:[n[0]-r[0],n[1]-r[1]],endPoint:[n[0]+r[0],n[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence,size:o}},yt=e=>{let t=lt(e),n=p2(e),o=Math.max(...n)/2;return{startPoint:[Math.round(t[0]-o),Math.round(t[1]-o)],endPoint:[Math.round(t[0]+o),Math.round(t[1]+o)],landmarks:e.landmarks,confidence:e.confidence,size:[Math.round(n[0]),Math.round(n[1])]}},u3=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return{startPoint:[Math.min(...t),Math.min(...n)],endPoint:[Math.max(...t),Math.max(...n)],landmarks:e}},v5=[[1,0,0],[0,1,0],[0,0,1]],AA=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),aA=(e,t)=>AA(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var f3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],r2=(e,t)=>{let n=0;for(let o=0;o{let n=[];for(let o=0;o{let n=[],o=e.length;for(let r=0;r{let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=f3(t[0],t[1]),A=m3(s,r),a=f3(-t[0],-t[1]);return m3(A,a)},lA=e=>{let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-r2(t[0],n),-r2(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]},cA=(e,t)=>[r2(e,t[0]),r2(e,t[1])];function b3(e){let t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o[s[0]/r*(d[0]-r/2),s[1]/r*(d[1]-r/2),d[2]||0]),a=n&&n!==0&&Math.abs(n)>.2,l=a?h3(n,[0,0]):v5,c=a?A.map(d=>[...cA(d,l),d[2]]):A,x=a?lA(o):v5,i=lt(t),f=[r2(i,x[0]),r2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2]||0)])}function T3(e,t,n,o){let r=t.landmarks.length>=r5.count?r5.symmetryLine:_e.symmetryLine,s=0,A=v5,a;if(e&&R.kernels.includes("rotatewithoffset"))if(s=aA(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let c=lt(t),x=[c[0]/n.shape[2],c[1]/n.shape[1]],i=Me.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=h3(-s,c),a=T5(t,i,[o,o]),Me.dispose(i)}else a=T5(t,n,[o,o]);else a=T5(t,n,[o,o]);return[s,A,a]}var dA=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},v3=(e,t)=>{let n=dA(e),o=p2(t);return{startPoint:[n[0]-o[0]/2,n[1]-o[1]/2],endPoint:[n[0]+o[0]/2,n[1]+o[1]/2]}};var R3=6,xA=1.4,xe,ft=null,Ce=0,u2=null,M3=()=>Ce;async function P3(e){var t;return R.initial&&(xe=null),xe?e.debug&&h("cached model:",xe.modelUrl):xe=await L((t=e.face.detector)==null?void 0:t.modelPath),Ce=xe.executor&&xe.inputs[0].shape?xe.inputs[0].shape[2]:256,u2=O.scalar(Ce,"int32"),ft=O.tensor2d(b3(Ce)),xe}function yA(e){if(!ft||!u2)return O.zeros([0,0]);let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,ft),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,u2),t.centersNormalized=O.div(t.centers,u2),t.halfBoxSize=O.div(t.boxSizesNormalized,C.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,u2),t.endNormalized=O.mul(t.ends,u2);let n=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>O.dispose(t[o])),n}async function k3(e,t){var a,l,c,x,i,f;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=O.image.resizeBilinear(e,[Ce,Ce]),n.div=O.div(n.resized,C.tf127),n.normalized=O.sub(n.div,C.tf05);let o=xe==null?void 0:xe.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let d=o.sort((m,y)=>m.size-y.size);n.concat384=O.concat([d[0],d[2]],2),n.concat512=O.concat([d[1],d[3]],2),n.concat=O.concat([n.concat512,n.concat384],1),n.batch=O.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=O.squeeze(o[0]):n.batch=O.squeeze(o);O.dispose(o),n.boxes=yA(n.batch),n.logits=O.slice(n.batch,[0,0],[-1,1]),n.sigmoid=O.sigmoid(n.logits),n.scores=O.squeeze(n.sigmoid),n.nms=await O.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let d=0;d(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let y={};y.bbox=O.slice(n.boxes,[r[d],0],[1,-1]),y.slice=O.slice(n.batch,[r[d],R3-1],[1,-1]),y.squeeze=O.squeeze(y.slice),y.landmarks=O.reshape(y.squeeze,[R3,-1]);let u=await y.bbox.data(),T={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await y.landmarks.array(),confidence:m};y.anchor=O.slice(ft,[r[d],0],[1,2]);let g=await y.anchor.data(),p=p3(T,[(e.shape[2]||0)/Ce,(e.shape[1]||0)/Ce],g),b=xt(p,t.face.scale||xA),k=yt(b);k.size[0]>(((i=t.face.detector)==null?void 0:i.minSize)||0)&&k.size[1]>(((f=t.face.detector)==null?void 0:f.minSize)||0)&&s.push(k),Object.keys(y).forEach(P=>O.dispose(y[P]))}}return Object.keys(n).forEach(d=>O.dispose(n[d])),s}var ye=G(H());var K0,We=0,fA=2.3,M5=ae.leftEyeLower0,P5=ae.rightEyeLower0,h2={leftBounds:[M5[0],M5[M5.length-1]],rightBounds:[P5[0],P5[P5.length-1]]},b2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function j3(e){var t,n;return R.initial&&(K0=null),K0?e.debug&&h("cached model:",K0.modelUrl):K0=await L((t=e.face.iris)==null?void 0:t.modelPath),We=K0!=null&&K0.executor&&((n=K0.inputs)!=null&&n[0].shape)?K0.inputs[0].shape[2]:0,We===-1&&(We=64),K0}function mt(e,t,n,o){for(let r=0;r{let t=e[h2.leftBounds[0]][2],n=e[h2.rightBounds[0]][2];return t-n},E3=(e,t,n,o,r,s=!1)=>{let A=yt(xt(u3([e[n],e[o]]),fA)),a=p2(A),l=ye.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[We,We]);if(s&&R.kernels.includes("flipleftright")){let c=ye.image.flipLeftRight(l);ye.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},z3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s{let o=e[ae[`${n}EyeUpper0`][b2.upperCenter]][2],r=e[ae[`${n}EyeLower0`][b2.lowerCenter]][2],s=(o+r)/2;return t.map((A,a)=>{let l=s;return a===2?l=o:a===4&&(l=r),[A[0],A[1],l]})};async function I3(e,t,n){if(!(K0!=null&&K0.executor))return e;let{box:o,boxSize:r,crop:s}=E3(e,t,h2.leftBounds[0],h2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=E3(e,t,h2.rightBounds[0],h2.rightBounds[1],n,!0),c=ye.concat([s,l]);ye.dispose(s),ye.dispose(l);let x=K0.execute(c);ye.dispose(c);let i=await x.data();ye.dispose(x);let f=i.slice(0,b2.numCoordinates*3),{rawCoords:d,iris:m}=z3(f,o,r,!0),y=i.slice(b2.numCoordinates*3),{rawCoords:u,iris:T}=z3(y,A,a,!1),g=mA(e);Math.abs(g)<30?(mt(e,d,"left",null),mt(e,u,"right",null)):g<1?mt(e,d,"left",["EyeUpper0","EyeLower0"]):mt(e,u,"right",["EyeUpper0","EyeLower0"]);let p=S3(e,m,"left"),b=S3(e,T,"right");return e.concat(p).concat(b)}async function L3(e,t){var s,A,a,l,c,x,i,f,d,m;let n={lips:await((A=(s=t.filter(y=>y.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(y=>y.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(y=>y.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((f=(i=t.filter(y=>y.size===10))==null?void 0:i[1])==null?void 0:f.data()),eyeR:await((m=(d=t.filter(y=>y.size===142))==null?void 0:d[1])==null?void 0:m.data())};for(let y of Object.values(n))if(!y)return e;let o=e2.reduce((y,u)=>y+=e[u][2],0)/e2.length;for(let y=0;yy+=e[u][2],0)/t2.length;for(let y=0;yv()-ge.timestamp,o=ge.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||ge.boxes.length===0?(ge.boxes=await k3(e,t),ge.timestamp=v(),ge.skipped=0):ge.skipped++;let r=[],s=[],A=0,a=O2;for(let g=0;g[N[0]/(e.shape[2]||0),N[1]/(e.shape[1]||0),(N[2]||0)/a]);for(let N of Object.keys(_e))P.annotations[N]=[P.mesh[_e[N]]]}else if(!r0)t.debug&&h("face mesh detection requested, but model is not loaded");else{if((d=t.face.attention)!=null&&d.enabled&&!R.kernels.includes("atan2"))return t.face.attention.enabled=!1,De.dispose(P.tensor),r;let N=r0.execute(P.tensor),_=await N.find(Z=>Z.shape[Z.shape.length-1]===1).data();if(P.faceScore=Math.round(100*_[0])/100,P.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(p.confidence=P.faceScore,t.face.mesh.keepInvalid){P.box=ct(p,e),P.boxRaw=dt(p,e),P.score=P.boxScore,P.mesh=p.landmarks,P.meshRaw=P.mesh.map(Z=>[Z[0]/(e.shape[2]||1),Z[1]/(e.shape[1]||1),(Z[2]||0)/a]);for(let Z of Object.keys(_e))P.annotations[Z]=[P.mesh[_e[Z]]]}}else{let Z=N.find(t0=>t0.shape[t0.shape.length-1]===1404),$=De.reshape(Z,[-1,3]),A0=await $.array();De.dispose($),(y=t.face.attention)!=null&&y.enabled?A0=await L3(A0,N):(u=t.face.iris)!=null&&u.enabled&&(A0=await I3(A0,P.tensor,O2)),P.mesh=g3(A0,p,b,k,O2),P.meshRaw=P.mesh.map(t0=>[t0[0]/(e.shape[2]||0),t0[1]/(e.shape[1]||0),(t0[2]||0)/a]);for(let t0 of Object.keys(ae))P.annotations[t0]=ae[t0].map(j0=>P.mesh[j0]);P.score=P.faceScore;let n0={...v3(P.mesh,p),confidence:p.confidence,landmarks:p.landmarks,size:p.size};P.box=ct(n0,e),P.boxRaw=dt(n0,e),s.push(n0)}De.dispose(N)}P.score>(((T=t.face.detector)==null?void 0:T.minConfidence)||1)?r.push(P):De.dispose(P.tensor)}return ge.boxes=s,r}async function C3(e){var t,n,o,r,s,A;return R.initial&&(r0=null),(t=e.face.attention)!=null&&t.enabled&&(r0!=null&&r0.signature)&&Object.keys(((n=r0==null?void 0:r0.signature)==null?void 0:n.outputs)||{}).length<6&&(r0=null),r0?e.debug&&h("cached model:",r0.modelUrl):(o=e.face.attention)!=null&&o.enabled?r0=await L(e.face.attention.modelPath):r0=await L((r=e.face.mesh)==null?void 0:r.modelPath),O2=r0.executor&&((s=r0==null?void 0:r0.inputs)!=null&&s[0].shape)?(A=r0==null?void 0:r0.inputs)==null?void 0:A[0].shape[2]:256,r0}var W3=$e,D3=N2;var J0=G(H());var E5=[],P0,pt=[],F3=0,B3=0,w5=Number.MAX_SAFE_INTEGER,z5=!1;async function H3(e){var t,n,o;return R.initial&&(P0=null),P0?e.debug&&h("cached model:",P0.modelUrl):(P0=await L((t=e.face.emotion)==null?void 0:t.modelPath),z5=((o=(n=P0==null?void 0:P0.inputs)==null?void 0:n[0].shape)==null?void 0:o[3])===3,z5?E5=["angry","disgust","fear","happy","neutral","sad","surprise"]:E5=["angry","disgust","fear","happy","sad","surprise","neutral"]),P0}async function S5(e,t,n,o){var A,a;if(!P0)return[];let r=w5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>v()-B3;return t.skipAllowed&&s&&r&&F3===o&&pt[n]&&pt[n].length>0?(w5++,pt[n]):(w5=0,new Promise(async l=>{var x,i,f;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let d={},m=P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0;if(((i=t.face.emotion)==null?void 0:i.crop)>0){let u=(f=t.face.emotion)==null?void 0:f.crop,T=[[u,u,1-u,1-u]];d.resize=J0.image.cropAndResize(e,T,[0],[m,m])}else d.resize=J0.image.resizeBilinear(e,[m,m],!1);z5?(d.mul=J0.mul(d.resize,255),d.normalize=J0.sub(d.mul,[103.939,116.779,123.68]),d.emotion=P0==null?void 0:P0.execute(d.normalize)):(d.channels=J0.mul(d.resize,C.rgb),d.grayscale=J0.sum(d.channels,3,!0),d.grayscaleSub=J0.sub(d.grayscale,C.tf05),d.grayscaleMul=J0.mul(d.grayscaleSub,C.tf2),d.emotion=P0==null?void 0:P0.execute(d.grayscaleMul)),B3=v();let y=await d.emotion.data();for(let u=0;u(t.face.emotion.minConfidence||0)&&c.push({score:Math.min(.99,Math.trunc(100*y[u])/100),emotion:E5[u]});c.sort((u,T)=>T.score-u.score),Object.keys(d).forEach(u=>J0.dispose(d[u]))}pt[n]=c,F3=o,l(c)}))}var ie=G(H());var k0,Fe=[],V3=0,Z3=0,j5=Number.MAX_SAFE_INTEGER;async function X3(e){var t;return R.initial&&(k0=null),k0?e.debug&&h("cached model:",k0.modelUrl):k0=await L((t=e.face.description)==null?void 0:t.modelPath),k0}function uA(e,t){var s,A;let n=e.image||e.tensor||e;if(!(k0!=null&&k0.inputs[0].shape))return n;let o;if(((s=t.face.description)==null?void 0:s.crop)>0){let a=(A=t.face.description)==null?void 0:A.crop,l=[[a,a,1-a,1-a]];o=ie.image.cropAndResize(n,l,[0],[k0.inputs[0].shape[2],k0.inputs[0].shape[1]])}else o=ie.image.resizeBilinear(n,[k0.inputs[0].shape[2],k0.inputs[0].shape[1]],!1);let r=ie.mul(o,C.tf255);return ie.dispose(o),r}async function I5(e,t,n,o){var a,l,c,x;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(k0!=null&&k0.executor))return r;let s=j5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),A=(((l=t.face.description)==null?void 0:l.skipTime)||0)>v()-V3;return t.skipAllowed&&s&&A&&Z3===o&&((c=Fe==null?void 0:Fe[n])==null?void 0:c.age)>0&&((x=Fe==null?void 0:Fe[n])==null?void 0:x.genderScore)>0?(j5++,Fe[n]):(j5=0,new Promise(async i=>{var f;if((f=t.face.description)!=null&&f.enabled){let d=uA(e,t),m=k0==null?void 0:k0.execute(d);V3=v(),ie.dispose(d);let u=await m.find(V=>V.shape[1]===1).data(),T=Math.trunc(200*Math.abs(u[0]-.5))/100;T>(t.face.description.minConfidence||0)&&(r.gender=u[0]<=.5?"female":"male",r.genderScore=Math.min(.99,T));let g=ie.argMax(m.find(V=>V.shape[1]===100),1),p=(await g.data())[0];ie.dispose(g);let k=await m.find(V=>V.shape[1]===100).data();r.age=Math.round(k[p-1]>k[p+1]?10*p-100*k[p-1]:10*p+100*k[p+1])/10,(Number.isNaN(u[0])||Number.isNaN(k[0]))&&h("faceres error:",{model:k0,result:m});let P=m.find(V=>V.shape[1]===1024),N=P?await P.data():[];r.descriptor=Array.from(N),m.forEach(V=>ie.dispose(V))}Fe[n]=r,Z3=o,i(r)}))}var g2=.1,N5=.5;function hA(e,t,n){let o=!1,r=n.length-1;for(let s=0;st!=n[r].y>t&&e<(n[r].x-n[s].x)*(t-n[s].y)/(n[r].y-n[s].y)+n[s].x&&(o=!o);return o}async function U3(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,n=e.tensor.shape[1]||0,o=await e.tensor.buffer(),r=[];for(let A of ae.silhouette)r.push({x:(e.mesh[A][0]-e.box[0])/e.box[2],y:(e.mesh[A][1]-e.box[1])/e.box[3]});g2&&g2>0&&(r=r.map(A=>({x:A.x>.5?A.x+g2:A.x-g2,y:A.y>.5?A.y+g2:A.y-g2})));for(let A=0;Av()-K3,s=L5<(((a=t.face.antispoof)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&Y3===o&&ut[n]?(L5++,ut[n]):(L5=0,new Promise(async l=>{let c=ht.image.resizeBilinear(e,[w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[2]:0,w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[1]:0],!1),x=w0==null?void 0:w0.execute(c),i=(await x.data())[0];ut[n]=Math.round(100*i)/100,Y3=o,K3=v(),ht.dispose([c,x]),l(ut[n])}))}var gt=G(H());var E0,bt=[],C5=Number.MAX_SAFE_INTEGER,_3=0,$3=0;async function en(e){var t;return R.initial&&(E0=null),E0?e.debug&&h("cached model:",E0.modelUrl):E0=await L((t=e.face.liveness)==null?void 0:t.modelPath),E0}async function W5(e,t,n,o){var A,a;if(!(E0!=null&&E0.executor))return 0;let r=(((A=t.face.liveness)==null?void 0:A.skipTime)||0)>v()-$3,s=C5<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&_3===o&&bt[n]?(C5++,bt[n]):(C5=0,new Promise(async l=>{let c=gt.image.resizeBilinear(e,[E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[2]:0,E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[1]:0],!1),x=E0==null?void 0:E0.execute(c),i=(await x.data())[0];bt[n]=Math.round(100*i)/100,_3=o,$3=v(),gt.dispose([c,x]),l(bt[n])}))}var Tt=G(H());var le,D5=[],gA=["white","black","asian","indian","other"],TA=[15,23,28,35.5,45.5,55.5,65],nn=0,on=0,F5=Number.MAX_SAFE_INTEGER;async function rn(e){var t;return R.initial&&(le=null),le?e.debug&&h("cached model:",le.modelUrl):le=await L((t=e.face.gear)==null?void 0:t.modelPath),le}async function B5(e,t,n,o){var A,a;if(!le)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=F5<(((A=t.face.gear)==null?void 0:A.skipFrames)||0),s=(((a=t.face.gear)==null?void 0:a.skipTime)||0)>v()-on;return t.skipAllowed&&s&&r&&nn===o&&D5[n]?(F5++,D5[n]):(F5=0,new Promise(async l=>{var T,g,p,b;if(!(le!=null&&le.inputs[0].shape))return;let c={},x=[[0,.1,.9,.9]];if(((T=t.face.gear)==null?void 0:T.crop)>0){let k=(g=t.face.gear)==null?void 0:g.crop;x=[[k,k,1-k,1-k]]}c.resize=Tt.image.cropAndResize(e,x,[0],[le.inputs[0].shape[2],le.inputs[0].shape[1]]);let i={age:0,gender:"unknown",genderScore:0,race:[]};(p=t.face.gear)!=null&&p.enabled&&([c.age,c.gender,c.race]=le.execute(c.resize,["age_output","gender_output","race_output"]));let f=await c.gender.data();i.gender=f[0]>f[1]?"male":"female",i.genderScore=Math.round(100*(f[0]>f[1]?f[0]:f[1]))/100;let d=await c.race.data();for(let k=0;k(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&i.race.push({score:Math.round(100*d[k])/100,race:gA[k]});i.race.sort((k,P)=>P.score-k.score);let y=Array.from(await c.age.data()).map((k,P)=>[TA[P],k]).sort((k,P)=>P[1]-k[1]),u=y[0][0];for(let k=1;kTt.dispose(c[k])),D5[n]=i,nn=o,on=v(),l(i)}))}var s2=G(H());var H0,vt=[],An=0,an=0,H5=Number.MAX_SAFE_INTEGER;async function ln(e){return R.initial&&(H0=null),H0?e.debug&&h("cached model:",H0.modelUrl):H0=await L(e.face.ssrnet.modelPathAge),H0}async function G5(e,t,n,o){var A,a,l,c;if(!H0)return{age:0};let r=H5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-an;return t.skipAllowed&&r&&s&&An===o&&((l=vt[n])!=null&&l.age)&&((c=vt[n])==null?void 0:c.age)>0?(H5++,vt[n]):(H5=0,new Promise(async x=>{var d,m,y;if(!(H0!=null&&H0.inputs)||!H0.inputs[0]||!H0.inputs[0].shape)return;let i={};if(((d=t.face.ssrnet)==null?void 0:d.crop)>0){let u=(m=t.face.ssrnet)==null?void 0:m.crop,T=[[u,u,1-u,1-u]];i.resize=s2.image.cropAndResize(e,T,[0],[H0.inputs[0].shape[2],H0.inputs[0].shape[1]])}else i.resize=s2.image.resizeBilinear(e,[H0.inputs[0].shape[2],H0.inputs[0].shape[1]],!1);i.enhance=s2.mul(i.resize,C.tf255);let f={age:0};if((y=t.face.ssrnet)!=null&&y.enabled&&(i.age=H0.execute(i.enhance)),i.age){let u=await i.age.data();f.age=Math.trunc(10*u[0])/10}Object.keys(i).forEach(u=>s2.dispose(i[u])),vt[n]=f,An=o,an=v(),x(f)}))}var v0=G(H());var N0,Rt=[],dn=0,xn=0,V5=Number.MAX_SAFE_INTEGER,Z5=[.2989,.587,.114];async function yn(e){var t;return R.initial&&(N0=null),N0?e.debug&&h("cached model:",N0.modelUrl):N0=await L((t=e.face.ssrnet)==null?void 0:t.modelPathGender),N0}async function X5(e,t,n,o){var A,a,l,c;if(!N0)return{gender:"unknown",genderScore:0};let r=V5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-xn;return t.skipAllowed&&r&&s&&dn===o&&((l=Rt[n])!=null&&l.gender)&&((c=Rt[n])==null?void 0:c.genderScore)>0?(V5++,Rt[n]):(V5=0,new Promise(async x=>{var m,y,u;if(!(N0!=null&&N0.inputs[0].shape))return;let i={};if(((m=t.face.ssrnet)==null?void 0:m.crop)>0){let T=(y=t.face.ssrnet)==null?void 0:y.crop,g=[[T,T,1-T,1-T]];i.resize=v0.image.cropAndResize(e,g,[0],[N0.inputs[0].shape[2],N0.inputs[0].shape[1]])}else i.resize=v0.image.resizeBilinear(e,[N0.inputs[0].shape[2],N0.inputs[0].shape[1]],!1);i.enhance=v0.tidy(()=>{var g,p;let T;if(((p=(g=N0==null?void 0:N0.inputs)==null?void 0:g[0].shape)==null?void 0:p[3])===1){let[b,k,P]=v0.split(i.resize,3,3),N=v0.mul(b,Z5[0]),V=v0.mul(k,Z5[1]),_=v0.mul(P,Z5[2]),Z=v0.addN([N,V,_]);T=v0.mul(v0.sub(Z,C.tf05),2)}else T=v0.mul(v0.sub(i.resize,C.tf05),2);return T});let f={gender:"unknown",genderScore:0};(u=t.face.ssrnet)!=null&&u.enabled&&(i.gender=N0.execute(i.enhance));let d=await i.gender.data();f.gender=d[0]>d[1]?"female":"male",f.genderScore=d[0]>d[1]?Math.trunc(100*d[0])/100:Math.trunc(100*d[1])/100,Object.keys(i).forEach(T=>v0.dispose(i[T])),Rt[n]=f,dn=o,xn=v(),x(f)}))}var Mt=G(H());var Q0,q5=[],mn=0,pn=0,un=Number.MAX_SAFE_INTEGER;async function hn(e){var t;return R.initial&&(Q0=null),Q0?e.debug&&h("cached model:",Q0.modelUrl):Q0=await L((t=e.face.mobilefacenet)==null?void 0:t.modelPath),Q0}async function U5(e,t,n,o){var A,a;if(!(Q0!=null&&Q0.executor))return[];let r=un<(((A=t.face.mobilefacenet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.mobilefacenet)==null?void 0:a.skipTime)||0)>v()-pn;return t.skipAllowed&&s&&r&&mn===o&&q5[n]?(un++,q5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.mobilefacenet)!=null&&x.enabled&&(Q0!=null&&Q0.inputs[0].shape)){let i={};i.crop=Mt.image.resizeBilinear(e,[Q0.inputs[0].shape[2],Q0.inputs[0].shape[1]],!1),i.data=Q0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Mt.dispose(i[d]))}q5[n]=c,mn=o,pn=v(),l(c)})}var Pt=G(H());var _0,Y5=[],gn=0,Tn=0,vn=Number.MAX_SAFE_INTEGER;async function Rn(e){return R.initial&&(_0=null),_0?e.debug&&h("cached model:",_0.modelUrl):_0=await L(e.face.insightface.modelPath),_0}async function K5(e,t,n,o){var A,a;if(!(_0!=null&&_0.executor))return[];let r=vn<(((A=t.face.insightface)==null?void 0:A.skipFrames)||0),s=(((a=t.face.insightface)==null?void 0:a.skipTime)||0)>v()-Tn;return t.skipAllowed&&s&&r&&gn===o&&Y5[n]?(vn++,Y5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.insightface)!=null&&x.enabled&&(_0!=null&&_0.inputs[0].shape)){let i={};i.crop=Pt.image.resizeBilinear(e,[_0.inputs[0].shape[2],_0.inputs[0].shape[1]],!1),i.data=_0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Pt.dispose(i[d]))}Y5[n]=c,gn=o,Tn=v(),l(c)})}var vA=e=>{let t=(i,f)=>Math.atan2(i[1]-f[1],i[0]-f[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],A=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],a=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(A[0]-s[0])/a[0]-n[0],o*(s[1]-A[1])/a[1]-n[1]],c=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return c=Math.min(c,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:c}},Pn=(e,t)=>{let n=y=>{let u=Math.sqrt(y[0]*y[0]+y[1]*y[1]+y[2]*y[2]);return y[0]/=u,y[1]/=u,y[2]/=u,y},o=(y,u)=>{let T=y[0]-u[0],g=y[1]-u[1],p=y[2]-u[2];return[T,g,p]},r=(y,u)=>{let T=y[1]*u[2]-y[2]*u[1],g=y[2]*u[0]-y[0]*u[2],p=y[0]*u[1]-y[1]*u[0];return[T,g,p]},s=y=>{let[u,T,g,p,b,k,P,N,V]=y,_,Z,$;return p<1?p>-1?($=Math.asin(p),Z=Math.atan2(-P,u),_=Math.atan2(-k,b)):($=-Math.PI/2,Z=-Math.atan2(N,V),_=0):($=Math.PI/2,Z=Math.atan2(N,V),_=0),Number.isNaN(_)&&(_=0),Number.isNaN(Z)&&(Z=0),Number.isNaN($)&&($=0),{pitch:2*-_,yaw:2*-Z,roll:2*-$}},A=e.meshRaw;if(!A||A.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let a=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[A[10],A[152],A[234],A[454]].map(y=>[y[0]*t[0]/a,y[1]*t[1]/a,y[2]]),c=n(o(l[1],l[0])),x=n(o(l[3],l[2])),i=n(r(x,c));x=r(c,i);let f=[x[0],x[1],x[2],c[0],c[1],c[2],i[0],i[1],i[2]],d=s(f),m=A.length===478?vA(e):{bearing:0,strength:0};return{angle:d,matrix:f,gaze:m}};function kn(e,t){let n=e==null?void 0:e.annotations;if(!(n!=null&&n.leftEyeIris)||!(n!=null&&n.rightEyeIris))return 0;let o=Math.max(Math.abs(n.leftEyeIris[3][0]-n.leftEyeIris[1][0]),Math.abs(n.rightEyeIris[3][0]-n.rightEyeIris[1][0]))/t;return Math.round(1.17/o)/100}var J5=async(e,t)=>{var m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;let n=v(),o,r,s,A,a,l,c,x,i,f=[];e.state="run:face";let d=await O3(t,e.config);if(e.performance.face=R.perfadd?(e.performance.face||0)+Math.trunc(v()-n):Math.trunc(v()-n),!t.shape||t.shape.length!==4)return[];if(!d)return[];for(let E=0;E200?Pn(d[E],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?A=(y=e.config.face.emotion)!=null&&y.enabled?S5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[]:(e.state="run:emotion",n=v(),A=(u=e.config.face.emotion)!=null&&u.enabled?await S5(d[E].tensor||l0.tensor([]),e.config,E,d.length):[],e.performance.emotion=R.perfadd?(e.performance.emotion||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?c=(T=e.config.face.antispoof)!=null&&T.enabled?O5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:antispoof",n=v(),c=(g=e.config.face.antispoof)!=null&&g.enabled?await O5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.antispoof=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?x=(p=e.config.face.liveness)!=null&&p.enabled?W5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0:(e.state="run:liveness",n=v(),x=(b=e.config.face.liveness)!=null&&b.enabled?await W5(d[E].tensor||l0.tensor([]),e.config,E,d.length):0,e.performance.liveness=R.perfadd?(e.performance.antispoof||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(k=e.config.face.gear)!=null&&k.enabled?B5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:gear",n=v(),r=(P=e.config.face.gear)!=null&&P.enabled?await B5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.gear=Math.trunc(v()-n)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(o=(N=e.config.face.ssrnet)!=null&&N.enabled?G5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(V=e.config.face.ssrnet)!=null&&V.enabled?X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null):(e.state="run:ssrnet",n=v(),o=(_=e.config.face.ssrnet)!=null&&_.enabled?await G5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,s=(Z=e.config.face.ssrnet)!=null&&Z.enabled?await X5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.ssrnet=Math.trunc(v()-n)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?a=($=e.config.face.mobilefacenet)!=null&&$.enabled?U5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),a=(A0=e.config.face.mobilefacenet)!=null&&A0.enabled?await U5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(n0=e.config.face.insightface)!=null&&n0.enabled?K5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null:(e.state="run:mobilefacenet",n=v(),l=(t0=e.config.face.insightface)!=null&&t0.enabled?await K5(d[E].tensor||l0.tensor([]),e.config,E,d.length):null,e.performance.mobilefacenet=Math.trunc(v()-n)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?i=I5(d[E].tensor||l0.tensor([]),e.config,E,d.length):(e.state="run:description",n=v(),i=await I5(d[E].tensor||l0.tensor([]),e.config,E,d.length),e.performance.description=R.perfadd?(e.performance.description||0)+Math.trunc(v()-n):Math.trunc(v()-n)),e.analyze("End Description:"),e.config.async&&([o,s,A,a,l,i,r,c,x]=await Promise.all([o,s,A,a,l,i,r,c,x])),e.analyze("Finish Face:"),(j0=e.config.face.ssrnet)!=null&&j0.enabled&&o&&s&&(i={...i,age:o.age,gender:s.gender,genderScore:s.genderScore}),(M=e.config.face.gear)!=null&&M.enabled&&r&&(i={...i,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),(T0=e.config.face.mobilefacenet)!=null&&T0.enabled&&a&&(i.descriptor=a),(C0=e.config.face.insightface)!=null&&C0.enabled&&l&&(i.descriptor=l);let X=(x0=e.config.face.iris)!=null&&x0.enabled?kn(d[E],t.shape[2]):0,U0=(K=e.config.face.detector)!=null&&K.return?l0.squeeze(d[E].tensor):null;l0.dispose(d[E].tensor),d[E].tensor&&delete d[E].tensor;let y0={...d[E],id:E};i.age&&(y0.age=i.age),i.gender&&(y0.gender=i.gender),i.genderScore&&(y0.genderScore=i.genderScore),i.descriptor&&(y0.embedding=i.descriptor),i.race&&(y0.race=i.race),A&&(y0.emotion=A),c&&(y0.real=c),x&&(y0.live=x),X>0&&(y0.distance=X),B&&(y0.rotation=B),U0&&(y0.tensor=U0),f.push(y0),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),f};var G0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>G0.nameMapping[e],getPoints:e=>G0.pointsMapping[e]},He={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>He.nameMapping[e]},c0={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>c0.nameMapping[e]},Be=class{constructor(t){w(this,"name");w(this,"curls");w(this,"directions");w(this,"weights");w(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,n,o){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([n,o])}direction(t,n,o){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([n,o])}weight(t,n){this.weights[t]=n;let o=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/o)}matchAgainst(t,n){let o=0;for(let r in t){let s=t[r],A=this.curls[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}for(let r in n){let s=n[r],A=this.directions[r];if(typeof A=="undefined"){o+=this.weightsRelative[r];continue}for(let[a,l]of A)if(s===a){o+=l*this.weightsRelative[r];break}}return o/10}};var{thumb:fe,index:Pe,middle:ke,ring:A2,pinky:a2}=G0,{none:me,half:MA,full:pe}=He,{verticalUp:T2,verticalDown:Ki,horizontalLeft:Q5,horizontalRight:PA,diagonalUpRight:kA,diagonalUpLeft:v2,diagonalDownRight:Ji,diagonalDownLeft:Qi}=c0,Ge=new Be("thumbs up");Ge.curl(fe,me,1);Ge.direction(fe,T2,1);Ge.direction(fe,v2,.25);Ge.direction(fe,kA,.25);for(let e of[G0.index,G0.middle,G0.ring,G0.pinky])Ge.curl(e,pe,1),Ge.direction(e,Q5,1),Ge.direction(e,PA,1);var h0=new Be("victory");h0.curl(fe,MA,.5);h0.curl(fe,me,.5);h0.direction(fe,T2,1);h0.direction(fe,v2,1);h0.curl(Pe,me,1);h0.direction(Pe,T2,.75);h0.direction(Pe,v2,1);h0.curl(ke,me,1);h0.direction(ke,T2,1);h0.direction(ke,v2,.75);h0.curl(A2,pe,1);h0.direction(A2,T2,.2);h0.direction(A2,v2,1);h0.direction(A2,Q5,.2);h0.curl(a2,pe,1);h0.direction(a2,T2,.2);h0.direction(a2,v2,1);h0.direction(a2,Q5,.2);h0.weight(Pe,2);h0.weight(ke,2);var Ve=new Be("point");Ve.curl(fe,pe,1);Ve.curl(Pe,me,.5);Ve.curl(ke,pe,.5);Ve.curl(A2,pe,.5);Ve.curl(a2,pe,.5);Ve.weight(Pe,2);Ve.weight(ke,2);var Ze=new Be("middle finger");Ze.curl(fe,me,1);Ze.curl(Pe,pe,.5);Ze.curl(ke,pe,.5);Ze.curl(A2,pe,.5);Ze.curl(a2,pe,.5);Ze.weight(Pe,2);Ze.weight(ke,2);var R2=new Be("open palm");R2.curl(fe,me,.75);R2.curl(Pe,me,.75);R2.curl(ke,me,.75);R2.curl(A2,me,.75);R2.curl(a2,me,.75);var wn=[Ge,h0,Ve,Ze,R2];var wA=.7,i2={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function En(e,t,n,o){let r=(t-o)/(e-n),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function Sn(e,t){if(!e||!t)return[0,0];let n=En(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let o=En(e[1],e[2],t[1],t[2]);return[n,o]}function zn(e,t=1){let n=0,o=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?o=1*t:r=1*t,[n,o,r]}function EA(e,t,n){let o=e[0]-t[0],r=e[0]-n[0],s=t[0]-n[0],A=e[1]-t[1],a=e[1]-n[1],l=t[1]-n[1],c=e[2]-t[2],x=e[2]-n[2],i=t[2]-n[2],f=Math.sqrt(o*o+A*A+c*c),d=Math.sqrt(r*r+a*a+x*x),m=Math.sqrt(s*s+l*l+i*i),y=(m*m+f*f-d*d)/(2*m*f);y>1?y=1:y<-1&&(y=-1);let u=Math.acos(y);u=57.2958*u%180;let T;return u>i2.NO_CURL_START_LIMIT?T=He.none:u>i2.HALF_CURL_START_LIMIT?T=He.half:T=He.full,T}function jn(e,t,n,o){let r;return o===Math.abs(e)?e>0?r=c0.horizontalLeft:r=c0.horizontalRight:o===Math.abs(t)?t>0?r=c0.horizontalLeft:r=c0.horizontalRight:n>0?r=c0.horizontalLeft:r=c0.horizontalRight,r}function In(e,t,n,o){let r;return o===Math.abs(e)?e<0?r=c0.verticalDown:r=c0.verticalUp:o===Math.abs(t)?t<0?r=c0.verticalDown:r=c0.verticalUp:n<0?r=c0.verticalDown:r=c0.verticalUp,r}function zA(e,t,n,o,r,s,A,a){let l,c=In(e,t,n,o),x=jn(r,s,A,a);return c===c0.verticalUp?x===c0.horizontalLeft?l=c0.diagonalUpLeft:l=c0.diagonalUpRight:x===c0.horizontalLeft?l=c0.diagonalDownLeft:l=c0.diagonalDownRight,l}function SA(e,t,n,o){let r=e[0]-t[0],s=e[0]-n[0],A=t[0]-n[0],a=e[1]-t[1],l=e[1]-n[1],c=t[1]-n[1],x=Math.max(Math.abs(r),Math.abs(s),Math.abs(A)),i=Math.max(Math.abs(a),Math.abs(l),Math.abs(c)),f=0,d=0,m=0,y=i/(x+1e-5);y>1.5?f+=i2.DISTANCE_VOTE_POWER:y>.66?d+=i2.DISTANCE_VOTE_POWER:m+=i2.DISTANCE_VOTE_POWER;let u=Math.sqrt(r*r+a*a),T=Math.sqrt(s*s+l*l),g=Math.sqrt(A*A+c*c),p=Math.max(u,T,g),b=e[0],k=e[1],P=n[0],N=n[1];p===u?(P=n[0],N=n[1]):p===g&&(b=t[0],k=t[1]);let Z=Sn([b,k],[P,N]),$=zn(Z,i2.TOTAL_ANGLE_VOTE_POWER);f+=$[0],d+=$[1],m+=$[2];for(let n0 of o){let t0=zn(n0,i2.SINGLE_ANGLE_VOTE_POWER);f+=t0[0],d+=t0[1],m+=t0[2]}let A0;return f===Math.max(f,d,m)?A0=In(l,a,c,i):m===Math.max(d,m)?A0=jn(s,r,A,x):A0=zA(l,a,c,i,s,r,A,x),A0}function Nn(e){let t=[],n=[],o=[],r=[];if(!e)return{curls:o,directions:r};for(let s of G0.all){let A=G0.getPoints(s),a=[],l=[];for(let c of A){let x=e[c[0]],i=e[c[1]],f=Sn(x,i),d=f[0],m=f[1];a.push(d),l.push(m)}t.push(a),n.push(l)}for(let s of G0.all){let A=s===G0.thumb?1:0,a=G0.getPoints(s),l=e[a[A][0]],c=e[a[A+1][1]],x=e[a[3][1]],i=EA(l,c,x),f=SA(l,c,x,t[s].slice(A));o[s]=i,r[s]=f}return{curls:o,directions:r}}function kt(e){if(!e||e.length===0)return null;let t=Nn(e),n={};for(let o of G0.all)n[G0.getName(o)]={curl:He.getName(t.curls[o]),direction:c0.getName(t.directions[o])};return n}function Ln(e){let t=[];if(!e||e.length===0)return t;let n=Nn(e);for(let o of wn){let r=o.matchAgainst(n.curls,n.directions);r>=wA&&t.push({name:o.name,confidence:r})}return t}var On=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),r=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&o&&r&&o.position[1]l.part==="leftShoulder"),a=e[n].keypoints.find(l=>l.part==="rightShoulder");A&&a&&Math.abs(A.positionRaw[1]-a.positionRaw[1])>.1&&t.push({body:n,gesture:`leaning ${A.position[1]>a.position[1]?"left":"right"}`})}return t},Cn=e=>{if(!e)return[];let t=[];for(let n=0;n450){let o=(e[n].mesh[33][2]||0)-(e[n].mesh[263][2]||0),r=e[n].mesh[33][0]-e[n].mesh[263][0];Math.abs(o/r)<=.15?t.push({face:n,gesture:"facing center"}):t.push({face:n,gesture:`facing ${o<0?"left":"right"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));a>10&&t.push({face:n,gesture:`mouth ${Math.trunc(a)}% open`});let l=e[n].mesh[152][2]||0;Math.abs(l)>10&&t.push({face:n,gesture:`head ${l<0?"up":"down"}`})}return t},Wn=e=>{var n,o,r,s;if(!e)return[];let t=[];for(let A=0;A.06||u>.06)&&(d=!1),y>u?y>.05&&t.push({iris:A,gesture:"looking right"}):u>.05&&t.push({iris:A,gesture:"looking left"});let T=Math.abs(e[A].mesh[145][1]-e[A].annotations.rightEyeIris[0][1])/e[A].box[3],g=Math.abs(e[A].mesh[374][1]-e[A].annotations.leftEyeIris[0][1])/e[A].box[3];(g<.01||T<.01||g>.022||T>.022)&&(d=!1),(g<.01||T<.01)&&t.push({iris:A,gesture:"looking down"}),(g>.022||T>.022)&&t.push({iris:A,gesture:"looking up"}),d&&t.push({iris:A,gesture:"looking center"})}return t},Dn=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=o.reduce((A,a)=>(A.position[2]||0)<(a.position[2]||0)?A:a);t.push({hand:n,gesture:`${r.name} forward`});let s=o.reduce((A,a)=>A.position[1][s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:r,confidence:e.confidence}}function Et(e,t=1.5){let n=C2(e),o=wt(e),r=[t*o[0]/2,t*o[1]/2],s=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function zt(e){let t=C2(e),n=wt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function IA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Zn(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return IA(n)}var Fn=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Xe(e,t){let n=0;for(let o=0;o[A.x,A.y]),this.anchorsTensor=W.tensor2d(this.anchors),this.inputSize=((s=(r=(o=(n=this==null?void 0:this.model)==null?void 0:n.inputs)==null?void 0:o[0])==null?void 0:r.shape)==null?void 0:s[2])||0,this.inputSizeTensor=W.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=W.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let n={};n.boxOffsets=W.slice(t,[0,0],[-1,2]),n.boxSizes=W.slice(t,[0,2],[-1,2]),n.div=W.div(n.boxOffsets,this.inputSizeTensor),n.boxCenterPoints=W.add(n.div,this.anchorsTensor),n.halfBoxSizes=W.div(n.boxSizes,this.doubleInputSizeTensor),n.sub=W.sub(n.boxCenterPoints,n.halfBoxSizes),n.startPoints=W.mul(n.sub,this.inputSizeTensor),n.add=W.add(n.boxCenterPoints,n.halfBoxSizes),n.endPoints=W.mul(n.add,this.inputSizeTensor);let o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),f=x.slice(2,4),d=await c.palmLandmarks.array(),m={startPoint:i,endPoint:f,palmLandmarks:d,confidence:r[l]},y=Vn(m,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(y),Object.keys(c).forEach(u=>W.dispose(c[u]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var $0=G(H());var CA=5,Yn=1.65,Kn=[0,5,9,13,17,1,2],WA=0,DA=2,Jn=0,jt=class{constructor(t,n){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>e1([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return Et(zt(r),CA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=Et(zt(n),Yn);o.palmLandmarks=[];for(let r=0;r[A[0]*(d[0]-this.inputSize/2),A[1]*(d[1]-this.inputSize/2),A[2]*d[2]]),l=$5(o,[0,0]),c=a.map(d=>[...e1(d,l),d[2]]),x=Xn(r),i=[...C2(n),1],f=[Xe(i,x[0]),Xe(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>v()-Jn,A=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&s&&A&&(r=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(o=!0));let a=[];for(let l=0;l=n.hand.minConfidence/4){let k=$0.reshape(p,[-1,3]),P=await k.array();$0.dispose(p),$0.dispose(k);let N=this.transformRawCoords(P,y,x,m),V=this.getBoxForHandLandmarks(N);this.storedBoxes[l]={...V,confidence:b};let _={landmarks:N,confidence:b,boxConfidence:c.confidence,fingerConfidence:b,box:{topLeft:V.startPoint,bottomRight:V.endPoint}};a.push(_)}else this.storedBoxes[l]=null;$0.dispose(p)}else{let x=Et(zt(c),Yn),i={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:x.startPoint,bottomRight:x.endPoint},landmarks:[]};a.push(i)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=a.length,a.length>n.hand.maxDetected&&(a.length=n.hand.maxDetected),a}};var Qn={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},l2,c2,_n;async function t1(e,t){let n=await _n.estimateHands(e,t);if(!n)return[];let o=[];for(let r=0;rn[r].landmarks[i]);let A=n[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(A&&A.length>0){for(let x of A)x[0]a[2]&&(a[2]=x[0]),x[1]>a[3]&&(a[3]=x[1]);a[2]-=a[0],a[3]-=a[1],l=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=kt(A);o.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:l,keypoints:A,annotations:s,landmarks:c})}return o}async function $n(e){var n,o;R.initial&&(l2=null,c2=null),!l2||!c2?[l2,c2]=await Promise.all([e.hand.enabled?L((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?L((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&h("cached model:",l2.modelUrl),e.debug&&h("cached model:",c2.modelUrl));let t=l2?new St(l2):void 0;return t&&c2&&(_n=new jt(t,c2)),[l2,c2]}var Q=G(H());var p0=[null,null],BA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],qe=[[0,0],[0,0]],HA=["hand","fist","pinch","point","face","tip","pinchtip"],to=4,no=1.6,GA=512,VA=1.4,It=Number.MAX_SAFE_INTEGER,n1=0,we=[0,0],m0={boxes:[],hands:[]},oo={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function ro(e){var t;if(R.initial&&(p0[0]=null),p0[0])e.debug&&h("cached model:",p0[0].modelUrl);else{J2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),p0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let n=p0[0].executor?Object.values(p0[0].modelSignature.inputs):void 0;qe[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[0]}async function so(e){var t;if(R.initial&&(p0[1]=null),p0[1])e.debug&&h("cached model:",p0[1].modelUrl);else{p0[1]=await L((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=p0[1].executor?Object.values(p0[1].modelSignature.inputs):void 0;qe[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[1]}async function ZA(e,t){let n=[];if(!e||!p0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,GA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await p0[0].executeAsync(o.cast,BA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[to]),a.splice(to,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let f of Array.from(c)){let d=Q.slice(o.boxes,f,1),m=await d.data();Q.dispose(d);let y=[m[1],m[0],m[3]-m[1],m[2]-m[0]],u=st(y,VA),T=[Math.trunc(y[0]*we[0]),Math.trunc(y[1]*we[1]),Math.trunc(y[2]*we[0]),Math.trunc(y[3]*we[1])],g=x[f],p=HA[i[f]],b={id:l++,score:g,box:T,boxRaw:u,label:p};n.push(b)}return Object.keys(o).forEach(f=>Q.dispose(o[f])),n.sort((f,d)=>d.score-f.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function o1(e,t,n){let o={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&p0[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Q.image.cropAndResize(e,[s],[0],[qe[1][0],qe[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=p0[1].execute(r.div,["Identity_1","Identity"]);let A=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(A))))/100;if(a>=(n.hand.minConfidence||0)){o.fingerScore=a,r.reshaped=Q.reshape(r.keypoints,[-1,3]);let x=(await r.reshaped.array()).map(i=>[i[0]/qe[1][1],i[1]/qe[1][0],i[2]||0]).map(i=>[i[0]*t.boxRaw[2],i[1]*t.boxRaw[3],i[2]||0]);o.keypoints=x.map(i=>[we[0]*(i[0]+t.boxRaw[0]),we[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=kt(o.keypoints);for(let i of Object.keys(oo))o.annotations[i]=oo[i].map(f=>o.landmarks&&o.keypoints[f]?o.keypoints[f]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function r1(e,t){var r,s;if(!((r=p0[0])!=null&&r.executor)||!((s=p0[1])!=null&&s.executor)||!p0[0].inputs[0].shape||!p0[1].inputs[0].shape)return[];we=[e.shape[2]||0,e.shape[1]||0],It++;let n=(t.hand.skipTime||0)>v()-n1,o=It<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?m0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>v()-n1,l=It<3*(t.hand.skipFrames||0);t.skipAllowed&&m0.hands.length===t.hand.maxDetected?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):t.skipAllowed&&a&&l&&m0.hands.length>0?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):(m0.boxes=await ZA(e,t),n1=v(),m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))),It=0);let c=[...m0.boxes];if(m0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x.05&&i.box[3]/(e.shape[1]||1)>.05&&m0.hands[x].fingerScore&&m0.hands[x].fingerScore>(t.hand.minConfidence||0)){let f=st(i.box,no),d=st(i.boxRaw,no);m0.boxes.push({...c[x],box:f,boxRaw:d})}}for(let x=0;x({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var W2={};ze(W2,{connected:()=>Lt,horizontal:()=>s1,kpt:()=>Nt,relative:()=>a1,vertical:()=>A1});var Nt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],s1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],A1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],a1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],Lt={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var z=Te(),i1=0;function ao(e,t){var A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0;let n=v();if(!e)return Te();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(z.canvas=e.canvas),e.error&&(z.error=e.error),!z.body||e.body.length!==z.body.length)z.body=JSON.parse(JSON.stringify(e.body));else for(let M=0;M((r-1)*z.body[M].box[X]+B)/r),C0=e.body[M].boxRaw.map((B,X)=>((r-1)*z.body[M].boxRaw[X]+B)/r),x0=e.body[M].keypoints.map((B,X)=>{var U0,y0,Ee,k2,x2,w1,E1,z1,S1;return{score:B.score,part:B.part,position:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[0]||0)+(B.position[0]||0))/r:B.position[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[1]||0)+(B.position[1]||0))/r:B.position[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[z.body[M].keypoints[X]?((r-1)*(((U0=z.body[M].keypoints[X].distance)==null?void 0:U0[0])||0)+(((y0=B.distance)==null?void 0:y0[0])||0))/r:(Ee=B.distance)==null?void 0:Ee[0],z.body[M].keypoints[X]?((r-1)*(((k2=z.body[M].keypoints[X].distance)==null?void 0:k2[1])||0)+(((x2=B.distance)==null?void 0:x2[1])||0))/r:(w1=B.distance)==null?void 0:w1[1],z.body[M].keypoints[X]?((r-1)*(((E1=z.body[M].keypoints[X].distance)==null?void 0:E1[2])||0)+(((z1=B.distance)==null?void 0:z1[2])||0))/r:(S1=B.distance)==null?void 0:S1[2]]}}),K={},E={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?E=it:(a=t.body.modelPath)!=null&&a.includes("blazepose")?E=ot:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(E=W2);for(let[B,X]of Object.entries(E.connected)){let U0=[];for(let y0=0;y0x2.part===X[y0]),k2=x0.find(x2=>x2.part===X[y0+1]);Ee&&k2&&U0.push([Ee.position,k2.position])}K[B]=U0}z.body[M]={...e.body[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.hand||e.hand.length!==z.hand.length)z.hand=JSON.parse(JSON.stringify(e.hand));else for(let M=0;M((r-1)*z.hand[M].box[B]+E)/r),C0=e.hand[M].boxRaw.map((E,B)=>((r-1)*z.hand[M].boxRaw[B]+E)/r);z.hand[M].keypoints.length!==e.hand[M].keypoints.length&&(z.hand[M].keypoints=e.hand[M].keypoints);let x0=e.hand[M].keypoints&&e.hand[M].keypoints.length>0?e.hand[M].keypoints.map((E,B)=>E.map((X,U0)=>((r-1)*(z.hand[M].keypoints[B][U0]||1)+(X||0))/r)):[],K={};if(Object.keys(z.hand[M].annotations).length!==Object.keys(e.hand[M].annotations).length)z.hand[M].annotations=e.hand[M].annotations,K=z.hand[M].annotations;else if(e.hand[M].annotations)for(let E of Object.keys(e.hand[M].annotations))K[E]=(i=(x=(c=e.hand[M])==null?void 0:c.annotations)==null?void 0:x[E])!=null&&i[0]?e.hand[M].annotations[E].map((B,X)=>B.map((U0,y0)=>((r-1)*z.hand[M].annotations[E][X][y0]+U0)/r)):null;z.hand[M]={...e.hand[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.face||e.face.length!==z.face.length)z.face=JSON.parse(JSON.stringify(e.face));else for(let M=0;M((r-1)*z.face[M].box[E]+K)/r),C0=e.face[M].boxRaw.map((K,E)=>((r-1)*z.face[M].boxRaw[E]+K)/r),x0=e.face[M].annotations;if(Object.keys(z.face[M].annotations).length!==Object.keys(e.face[M].annotations).length)z.face[M].annotations=e.face[M].annotations,x0=z.face[M].annotations;else if(e.face[M].annotations)for(let K of Object.keys(e.face[M].annotations))x0[K]=(m=(d=(f=e.face[M])==null?void 0:f.annotations)==null?void 0:d[K])!=null&&m[0]?e.face[M].annotations[K].map((E,B)=>E.map((X,U0)=>((r-1)*z.face[M].annotations[K][B][U0]+X)/r)):null;if(e.face[M].rotation){let K={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};K.matrix=(y=e.face[M].rotation)==null?void 0:y.matrix,K.angle={roll:((r-1)*(((T=(u=z.face[M].rotation)==null?void 0:u.angle)==null?void 0:T.roll)||0)+(((p=(g=e.face[M].rotation)==null?void 0:g.angle)==null?void 0:p.roll)||0))/r,yaw:((r-1)*(((k=(b=z.face[M].rotation)==null?void 0:b.angle)==null?void 0:k.yaw)||0)+(((N=(P=e.face[M].rotation)==null?void 0:P.angle)==null?void 0:N.yaw)||0))/r,pitch:((r-1)*(((_=(V=z.face[M].rotation)==null?void 0:V.angle)==null?void 0:_.pitch)||0)+((($=(Z=e.face[M].rotation)==null?void 0:Z.angle)==null?void 0:$.pitch)||0))/r},K.gaze={bearing:((r-1)*(((A0=z.face[M].rotation)==null?void 0:A0.gaze.bearing)||0)+(((n0=e.face[M].rotation)==null?void 0:n0.gaze.bearing)||0))/r,strength:((r-1)*(((t0=z.face[M].rotation)==null?void 0:t0.gaze.strength)||0)+(((j0=e.face[M].rotation)==null?void 0:j0.gaze.strength)||0))/r},z.face[M]={...e.face[M],rotation:K,box:T0,boxRaw:C0,annotations:x0}}else z.face[M]={...e.face[M],box:T0,boxRaw:C0,annotations:x0}}if(!z.object||e.object.length!==z.object.length)z.object=JSON.parse(JSON.stringify(e.object));else for(let M=0;M((r-1)*z.object[M].box[K]+x0)/r),C0=e.object[M].boxRaw.map((x0,K)=>((r-1)*z.object[M].boxRaw[K]+x0)/r);z.object[M]={...e.object[M],box:T0,boxRaw:C0}}if(e.persons){let M=e.persons;if(!z.persons||M.length!==z.persons.length)z.persons=JSON.parse(JSON.stringify(M));else for(let T0=0;T0((r-1)*z.persons[T0].box[x0]+C0)/r)}e.gesture&&(z.gesture=e.gesture),z.width=e.width,z.height=e.height;let s=v();return i1=R.perfadd?i1+Math.round(s-n):Math.round(s-n),e.performance&&(z.performance={...e.performance,interpolate:i1}),z}var s0=G(H());var L0;async function l1(e){return!L0||R.initial?L0=await L(e.segmentation.modelPath):e.debug&&h("cached model:",L0.modelUrl),L0}async function io(e,t){var r;if(L0||(L0=await l1(t)),!(L0!=null&&L0.executor)||!((r=L0==null?void 0:L0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=s0.image.resizeBilinear(e,[L0.inputs[0].shape?L0.inputs[0].shape[1]:0,L0.inputs[0].shape?L0.inputs[0].shape[2]:0],!1),n.norm=s0.div(n.resize,C.tf255),n.res=L0.execute(n.norm),n.squeeze=s0.squeeze(n.res,[0]),[n.bgRaw,n.fgRaw]=s0.unstack(n.squeeze,2),n.fg=s0.softmax(n.fgRaw),n.mul=s0.mul(n.fg,C.tf255),n.expand=s0.expandDims(n.mul,2),n.output=s0.image.resizeBilinear(n.expand,[e.shape[1]||0,e.shape[2]||0]);let o;switch(t.segmentation.mode||"default"){case"default":n.input=s0.squeeze(e),n.concat=s0.concat([n.input,n.output],-1),o=s0.cast(n.concat,"int32");break;case"alpha":o=s0.cast(n.output,"int32");break;default:o=s0.tensor(0)}return Object.keys(n).forEach(s=>s0.dispose(n[s])),o}var Ot={};ze(Ot,{distance:()=>c1,find:()=>UA,similarity:()=>qA});function c1(e,t,n={order:2,multiplier:25}){if(!e||!e)return Number.MAX_SAFE_INTEGER;let o=0;for(let r=0;r{if(e===0)return 1;let s=(1-(t===2?Math.sqrt(e):e**(1/t))/100-n)/(o-n);return Math.max(Math.min(s,1),0)};function qA(e,t,n={order:2,multiplier:25,min:.2,max:.8}){let o=c1(e,t,n);return co(o,n.order||2,n.min||0,n.max||1)}function UA(e,t,n={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let o=Number.MAX_SAFE_INTEGER,r=-1;for(let A=0;AH2,validateModel:()=>Gt});var D2=G(H());var Ue=G(H());var xo=.005,ee={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function d1(e){for(let t of s1){let n=e.keypoints.findIndex(r=>r.part===t[0]),o=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[0]r&&r.part===t[0]),o=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[o]&&e.keypoints[n].position[1]c&&c.part===t[0]),r=e.keypoints.findIndex(c=>c&&c.part===t[1]),s=e.keypoints.findIndex(c=>c&&c.part===n[0]),A=e.keypoints.findIndex(c=>c&&c.part===n[1]);if(!e.keypoints[s]||!e.keypoints[A])continue;let a=e.keypoints[o]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[o].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[o].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||l[0]>l[1]){let c=e.keypoints[o];e.keypoints[o]=e.keypoints[r],e.keypoints[r]=c}}}function yo(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=Ue.pad(e,ee.padding),n.resize=Ue.image.resizeBilinear(n.pad,[t,t]);let o=Ue.cast(n.resize,"int32");return Object.keys(n).forEach(A=>Ue.dispose(n[A])),o}function mo(e,t){e.keypoints=e.keypoints.filter(o=>o==null?void 0:o.position);for(let o of e.keypoints)o.position=[o.position[0]*(t[0]+ee.padding[2][0]+ee.padding[2][1])/t[0]-ee.padding[2][0],o.position[1]*(t[1]+ee.padding[1][0]+ee.padding[1][1])/t[1]-ee.padding[1][0]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1]];let n=Le(e.keypoints.map(o=>o.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var b0,Ct=0,x1=Number.MAX_SAFE_INTEGER,d2={boxes:[],bodies:[],last:0};async function po(e){var t;return R.initial&&(b0=null),b0?e.debug&&h("cached model:",b0.modelUrl):(J2(["size"],e),b0=await L(e.body.modelPath)),Ct=b0!=null&&b0.executor&&((t=b0==null?void 0:b0.inputs)!=null&&t[0].shape)?b0.inputs[0].shape[2]:0,Ct<64&&(Ct=256),D2.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS&&D2.env().set("WEBGL_USE_SHAPES_UNIFORMS",!1),b0}function KA(e,t,n){let o=e[0][0],r=[],s=0;for(let x=0;xt.body.minConfidence){let i=[o[x][1],o[x][0]];r.push({score:Math.round(100*s)/100,part:Nt[x],positionRaw:i,position:[Math.round((n.shape[2]||0)*i[0]),Math.round((n.shape[1]||0)*i[1])]})}s=r.reduce((x,i)=>i.score>x?i.score:x,0);let A=[],a=Le(r.map(x=>x.position),[n.shape[2],n.shape[1]]),l={};for(let[x,i]of Object.entries(Lt)){let f=[];for(let d=0;du.part===i[d]),y=r.find(u=>u.part===i[d+1]);m&&y&&m.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([m.position,y.position])}l[x]=f}let c={id:0,score:s,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:l};return d1(c),A.push(c),A}function JA(e,t,n){let o=[];for(let r=0;rt.body.minConfidence){let a=[];for(let f=0;f<17;f++){let d=s[3*f+2];if(d>t.body.minConfidence){let m=[s[3*f+1],s[3*f+0]];a.push({part:Nt[f],score:Math.round(100*d)/100,positionRaw:m,position:[Math.round((n.shape[2]||0)*m[0]),Math.round((n.shape[1]||0)*m[1])]})}}let l=[s[51+1],s[51+0],s[51+3]-s[51+1],s[51+2]-s[51+0]],c=[Math.trunc(l[0]*(n.shape[2]||0)),Math.trunc(l[1]*(n.shape[1]||0)),Math.trunc(l[2]*(n.shape[2]||0)),Math.trunc(l[3]*(n.shape[1]||0))],x={};for(let[f,d]of Object.entries(Lt)){let m=[];for(let y=0;yg.part===d[y]),T=a.find(g=>g.part===d[y+1]);u&&T&&u.score>(t.body.minConfidence||0)&&T.score>(t.body.minConfidence||0)&&m.push([u.position,T.position])}x[f]=m}let i={id:r,score:A,box:c,boxRaw:l,keypoints:[...a],annotations:x};d1(i),o.push(i)}}return o.sort((r,s)=>s.score-r.score),o.length>t.body.maxDetected&&(o.length=t.body.maxDetected),o}async function y1(e,t){var r;if(!(b0!=null&&b0.executor)||!((r=b0==null?void 0:b0.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(d2.boxes.length=0),x1++;let n=(t.body.skipTime||0)>v()-d2.last,o=x1<(t.body.skipFrames||0);return t.skipAllowed&&n&&o?d2.bodies:new Promise(async s=>{let A={};x1=0,A.input=fo(e,Ct),A.res=b0==null?void 0:b0.execute(A.input),d2.last=v();let a=await A.res.array();d2.bodies=A.res.shape[2]===17?KA(a,t,e):JA(a,t,e);for(let l of d2.bodies)mo(l,[e.shape[2]||1,e.shape[1]||1]),yo(l.keypoints);Object.keys(A).forEach(l=>D2.dispose(A[l])),s(d2.bodies)})}var S0=G(H());var ce,Wt=[],ho=0,f1=Number.MAX_SAFE_INTEGER,Ft=0,Dt=2.5;async function bo(e){if(!ce||R.initial){ce=await L(e.object.modelPath);let t=ce!=null&&ce.executor?Object.values(ce.modelSignature.inputs):void 0;Ft=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&h("cached model:",ce.modelUrl);return ce}async function QA(e,t,n){var c,x;let o=0,r=[],s=Ft;for(let i of[1,2,4]){let f=i*13,d=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)===m2.length)),m=await d.array(),y=S0.squeeze(e.find(p=>p.shape[1]===f**2&&(p.shape[2]||0)(n.object.minConfidence||0)&&b!==61){let P=(.5+Math.trunc(p%f))/f,N=(.5+Math.trunc(p/f))/f,V=g[p].map(M=>M*(f/i/s)),[_,Z]=[P-Dt/i*V[0],N-Dt/i*V[1]],[$,A0]=[P+Dt/i*V[2]-_,N+Dt/i*V[3]-Z],n0=[_,Z,$,A0];n0=n0.map(M=>Math.max(0,Math.min(M,1)));let t0=[n0[0]*t[0],n0[1]*t[1],n0[2]*t[0],n0[3]*t[1]],j0={id:o++,score:Math.round(100*k)/100,class:b+1,label:m2[b].label,box:t0.map(M=>Math.trunc(M)),boxRaw:n0};r.push(j0)}}S0.dispose([d,y,u,T])}let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),a=r.map(i=>i.score),l=[];if(A&&A.length>0){let i=await S0.image.nonMaxSuppressionAsync(A,a,n.object.maxDetected||0,n.object.iouThreshold,n.object.minConfidence);l=Array.from(await i.data()),S0.dispose(i)}return r=r.filter((i,f)=>l.includes(f)).sort((i,f)=>f.score-i.score),r}async function m1(e,t){if(!(ce!=null&&ce.executor))return[];let n=(t.object.skipTime||0)>v()-ho,o=f1<(t.object.skipFrames||0);return t.skipAllowed&&n&&o&&Wt.length>0?(f1++,Wt):(f1=0,!R.kernels.includes("mod")||!R.kernels.includes("sparsetodense")?Wt:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],A=S0.image.resizeBilinear(e,[Ft,Ft],!1),a=S0.div(A,C.tf255),l=S0.transpose(a,[0,3,1,2]),c;t.object.enabled&&(c=ce.execute(l)),ho=v();let x=await QA(c,s,t);Wt=x,S0.dispose([A,a,l,...c]),r(x)}))}var V0=G(H());var B2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_A=B2.length,F2=B2.reduce((e,t,n)=>(e[t]=n,e),{}),$A=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],V7=$A.map(([e,t])=>[F2[e],F2[t]]),To=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function vo(e){let t=e.reduce(({maxX:n,maxY:o,minX:r,minY:s},{position:{x:A,y:a}})=>({maxX:Math.max(n,A),maxY:Math.max(o,a),minX:Math.min(r,A),minY:Math.min(s,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Ro(e,[t,n],[o,r]){let s=t/o,A=n/r,a=(c,x)=>({id:x,score:c.score,boxRaw:[c.box[0]/r,c.box[1]/o,c.box[2]/r,c.box[3]/o],box:[Math.trunc(c.box[0]*A),Math.trunc(c.box[1]*s),Math.trunc(c.box[2]*A),Math.trunc(c.box[3]*s)],keypoints:c.keypoints.map(({score:i,part:f,position:d})=>({score:i,part:f,position:[Math.trunc(d.x*A),Math.trunc(d.y*s)],positionRaw:[d.x/o,d.y/o]})),annotations:{}});return e.map((c,x)=>a(c,x))}var Bt=class{constructor(t,n){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let n=2*t;if(nn?n:e}function Mo(e,t,n,o){let r=n-e,s=o-t;return r*r+s*s}function b1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var te,ta=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],Ht=1,M2=16,na=50**2;function Po(e,t,n,o,r,s,A=2){let a=T=>({y:s.get(T.y,T.x,e),x:s.get(T.y,T.x,s.shape[2]/2+e)}),l=(T,g,p)=>({y:h1(Math.round(T.y/M2),0,g-1),x:h1(Math.round(T.x/M2),0,p-1)}),[c,x]=o.shape,i=l(t.position,c,x),f=a(i),m=b1(t.position,f);for(let T=0;T[F2[f],F2[d]]),A=s.map(([,f])=>f),a=s.map(([f])=>f),l=t.shape[2],c=A.length,x=new Array(l),i=u1(e.part,M2,n);x[e.part.id]={score:e.score,part:B2[e.part.id],position:i};for(let f=c-1;f>=0;--f){let d=A[f],m=a[f];x[d]&&!x[m]&&(x[m]=Po(f,x[d],m,t,n,r))}for(let f=0;ft){a=!1;break}if(!a)break}return a}function sa(e,t){let[n,o,r]=t.shape,s=new Bt(n*o*r,({score:A})=>A);for(let A=0;A{var A;let s=(A=r[o])==null?void 0:A.position;return s?Mo(n,t,s.y,s.x)<=na:!1})}function Aa(e,t){return t.reduce((o,{position:r,score:s},A)=>(ko(e,r,A)||(o+=s),o),0)/t.length}function aa(e,t,n,o,r,s){let A=[],a=sa(s,t);for(;A.lengthd.score>s);let i=Aa(A,x),f=vo(x);i>s&&A.push({keypoints:x,box:f,score:Math.round(100*i)/100})}return A}async function g1(e,t){if(!(te!=null&&te.executor))return[];let n=V0.tidy(()=>{if(!te.inputs[0].shape)return[];let A=V0.image.resizeBilinear(e,[te.inputs[0].shape[2],te.inputs[0].shape[1]]),a=V0.sub(V0.div(V0.cast(A,"float32"),127.5),1),c=te.execute(a,ta).map(x=>V0.squeeze(x,[0]));return c[1]=V0.sigmoid(c[1]),c}),o=await Promise.all(n.map(A=>A.buffer()));for(let A of n)V0.dispose(A);let r=aa(o[0],o[1],o[2],o[3],t.body.maxDetected,t.body.minConfidence);return te.inputs[0].shape?Ro(r,[e.shape[1],e.shape[2]],[te.inputs[0].shape[2],te.inputs[0].shape[1]]):[]}async function wo(e){return!te||R.initial?te=await L(e.body.modelPath):e.debug&&h("cached model:",te.modelUrl),te}var F=G(H());var ve,ia=["fgr","pha","r1o","r2o","r3o","r4o"],g0={},v1=0;function So(e){F.dispose([g0.r1i,g0.r2i,g0.r3i,g0.r4i,g0.downsample_ratio]),g0.r1i=F.tensor(0),g0.r2i=F.tensor(0),g0.r3i=F.tensor(0),g0.r4i=F.tensor(0),v1=e.segmentation.ratio||.5,g0.downsample_ratio=F.tensor(v1)}async function R1(e){return!ve||R.initial?ve=await L(e.segmentation.modelPath):e.debug&&h("cached model:",ve.modelUrl),So(e),ve}var zo=e=>F.tidy(()=>{let t=F.squeeze(e,[0]),n=F.mul(t,C.tf255);return F.cast(n,"int32")});function T1(e,t){let n=e?zo(e):F.fill([t.shape[1]||0,t.shape[2]||0,3],255,"int32"),o=t?zo(t):F.fill([e.shape[1]||0,e.shape[2]||0,1],255,"int32"),r=F.concat([n,o],-1);return F.dispose([n,o]),r}function la(e){return F.tidy(()=>{let t={};return t.unstack=F.unstack(e,-1),t.concat=F.concat(t.unstack,1),t.split=F.split(t.concat,4,1),t.stack=F.concat(t.split,2),t.squeeze=F.squeeze(t.stack,[0]),t.expand=F.expandDims(t.squeeze,-1),t.add=F.add(t.expand,1),t.mul=F.mul(t.add,127.5),t.cast=F.cast(t.mul,"int32"),t.tile=F.tile(t.cast,[1,1,3]),t.alpha=F.fill([t.tile.shape[0]||0,t.tile.shape[1]||0,1],255,"int32"),F.concat([t.tile,t.alpha],-1)})}async function jo(e,t){if(ve||(ve=await R1(t)),!(ve!=null&&ve.executor))return null;g0.src=F.div(e,255),v1!==t.segmentation.ratio&&So(t);let[n,o,r,s,A,a]=await ve.executeAsync(g0,ia),l;switch(t.segmentation.mode||"default"){case"default":l=T1(n,o);break;case"alpha":l=T1(null,o);break;case"foreground":l=T1(n,null);break;case"state":l=la(r);break;default:l=F.tensor(0)}return F.dispose([g0.src,n,o,g0.r1i,g0.r2i,g0.r3i,g0.r4i]),[g0.r1i,g0.r2i,g0.r3i,g0.r4i]=[r,s,A,a],l}var z0=G(H());var O0;async function M1(e){return!O0||R.initial?O0=await L(e.segmentation.modelPath):e.debug&&h("cached model:",O0.modelUrl),O0}async function No(e,t){var r;if(O0||(O0=await M1(t)),!(O0!=null&&O0.executor)||!((r=O0==null?void 0:O0.inputs)!=null&&r[0].shape))return null;let n={};n.resize=z0.image.resizeBilinear(e,[O0.inputs[0].shape?O0.inputs[0].shape[1]:0,O0.inputs[0].shape?O0.inputs[0].shape[2]:0],!1),n.norm=z0.div(n.resize,C.tf255),n.res=O0.execute(n.norm),n.squeeze=z0.squeeze(n.res,[0]),n.alpha=z0.image.resizeBilinear(n.squeeze,[e.shape[1]||0,e.shape[2]||0]),n.mul=z0.mul(n.alpha,C.tf255);let o;switch(t.segmentation.mode||"default"){case"default":n.input=z0.squeeze(e),n.concat=z0.concat([n.input,n.mul],-1),o=z0.cast(n.concat,"int32");break;case"alpha":o=z0.cast(n.mul,"int32");break;default:o=z0.tensor(0)}return Object.keys(n).forEach(s=>z0.dispose(n[s])),o}function Gt(e,t,n){var c,x;if(!t||!((c=e==null?void 0:e.config)!=null&&c.validateModels))return null;let o=["const","placeholder","noop","pad","squeeze","add","sub","mul","div"],r=["biasadd","fusedbatchnormv3","matmul","switch","shape","merge","split","broadcastto"],s=[],A=[],a=t.modelUrl,l=t.executor;if((x=l==null?void 0:l.graph)!=null&&x.nodes)for(let i of Object.values(l.graph.nodes)){let f=i.op.toLowerCase();s.includes(f)||s.push(f)}else!l&&e.config.debug&&h("model not loaded",n);for(let i of s)!o.includes(i)&&!r.includes(i)&&!e.env.kernels.includes(i)&&!e.env.kernels.includes(i.replace("_",""))&&!e.env.kernels.includes(i.replace("native",""))&&!e.env.kernels.includes(i.replace("v2",""))&&A.push(i);return e.config.debug&&A.length>0&&h("model validation failed:",n,A),A.length>0?{name:n,missing:A,ops:s,url:a}:null}var H2=class{constructor(t){w(this,"instance");w(this,"models",{});this.models={},this.instance=t}stats(){let t=0,n=0,o=0;for(let s of Object.values(I0))t+=s.sizeFromManifest,n+=s.sizeLoadedWeights,o+=s.sizeDesired;let r=o>0?n/o:0;return{numLoadedModels:Object.values(I0).length,numDefinedModels:Object.keys(this.models).length,percentageLoaded:r,totalSizeFromManifest:t,totalSizeWeights:n,totalSizeLoading:o,modelStats:Object.values(I0)}}reset(){for(let t of Object.keys(this.models))this.models[t]=null}async load(t){var o,r,s,A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0;R.initial&&this.reset(),t&&(this.instance=t);let n={};n.blazeface=this.instance.config.face.enabled&&!this.models.blazeface?P3(this.instance.config):null,n.antispoof=this.instance.config.face.enabled&&((o=this.instance.config.face.antispoof)!=null&&o.enabled)&&!this.models.antispoof?J3(this.instance.config):null,n.liveness=this.instance.config.face.enabled&&((r=this.instance.config.face.liveness)!=null&&r.enabled)&&!this.models.liveness?en(this.instance.config):null,n.faceres=this.instance.config.face.enabled&&((s=this.instance.config.face.description)!=null&&s.enabled)&&!this.models.faceres?X3(this.instance.config):null,n.emotion=this.instance.config.face.enabled&&((A=this.instance.config.face.emotion)!=null&&A.enabled)&&!this.models.emotion?H3(this.instance.config):null,n.iris=this.instance.config.face.enabled&&((a=this.instance.config.face.iris)!=null&&a.enabled)&&!((l=this.instance.config.face.attention)!=null&&l.enabled)&&!this.models.iris?j3(this.instance.config):null,n.facemesh=this.instance.config.face.enabled&&((c=this.instance.config.face.mesh)!=null&&c.enabled)&&!this.models.facemesh?C3(this.instance.config):null,n.gear=this.instance.config.face.enabled&&((x=this.instance.config.face.gear)!=null&&x.enabled)&&!this.models.gear?rn(this.instance.config):null,n.ssrnetage=this.instance.config.face.enabled&&((i=this.instance.config.face.ssrnet)!=null&&i.enabled)&&!this.models.ssrnetage?ln(this.instance.config):null,n.ssrnetgender=this.instance.config.face.enabled&&((f=this.instance.config.face.ssrnet)!=null&&f.enabled)&&!this.models.ssrnetgender?yn(this.instance.config):null,n.mobilefacenet=this.instance.config.face.enabled&&((d=this.instance.config.face.mobilefacenet)!=null&&d.enabled)&&!this.models.mobilefacenet?hn(this.instance.config):null,n.insightface=this.instance.config.face.enabled&&((m=this.instance.config.face.insightface)!=null&&m.enabled)&&!this.models.insightface?Rn(this.instance.config):null,n.blazepose=this.instance.config.body.enabled&&!this.models.blazepose&&((y=this.instance.config.body.modelPath)!=null&&y.includes("blazepose"))?A3(this.instance.config):null,n.blazeposedetect=this.instance.config.body.enabled&&!this.models.blazeposedetect&&this.instance.config.body.detector&&this.instance.config.body.detector.modelPath?s3(this.instance.config):null,n.efficientpose=this.instance.config.body.enabled&&!this.models.efficientpose&&((u=this.instance.config.body.modelPath)!=null&&u.includes("efficientpose"))?x3(this.instance.config):null,n.movenet=this.instance.config.body.enabled&&!this.models.movenet&&((T=this.instance.config.body.modelPath)!=null&&T.includes("movenet"))?po(this.instance.config):null,n.posenet=this.instance.config.body.enabled&&!this.models.posenet&&((g=this.instance.config.body.modelPath)!=null&&g.includes("posenet"))?wo(this.instance.config):null,n.handtrack=this.instance.config.hand.enabled&&!this.models.handtrack&&((b=(p=this.instance.config.hand.detector)==null?void 0:p.modelPath)!=null&&b.includes("handtrack"))?ro(this.instance.config):null,n.handskeleton=this.instance.config.hand.enabled&&this.instance.config.hand.landmarks&&!this.models.handskeleton&&((P=(k=this.instance.config.hand.detector)==null?void 0:k.modelPath)!=null&&P.includes("handtrack"))?so(this.instance.config):null,(V=(N=this.instance.config.hand.detector)==null?void 0:N.modelPath)!=null&&V.includes("handdetect")&&([n.handpose,n.handskeleton]=this.models.handpose?[null,null]:await $n(this.instance.config)),n.centernet=this.instance.config.object.enabled&&!this.models.centernet&&((_=this.instance.config.object.modelPath)!=null&&_.includes("centernet"))?l3(this.instance.config):null,n.nanodet=this.instance.config.object.enabled&&!this.models.nanodet&&((Z=this.instance.config.object.modelPath)!=null&&Z.includes("nanodet"))?bo(this.instance.config):null,n.selfie=this.instance.config.segmentation.enabled&&!this.models.selfie&&(($=this.instance.config.segmentation.modelPath)!=null&&$.includes("selfie"))?M1(this.instance.config):null,n.meet=this.instance.config.segmentation.enabled&&!this.models.meet&&((A0=this.instance.config.segmentation.modelPath)!=null&&A0.includes("meet"))?l1(this.instance.config):null,n.rvm=this.instance.config.segmentation.enabled&&!this.models.rvm&&((n0=this.instance.config.segmentation.modelPath)!=null&&n0.includes("rvm"))?R1(this.instance.config):null;for(let[t0,j0]of Object.entries(n))j0!=null&&j0.then&&j0.then(M=>this.models[t0]=M);await Promise.all(Object.values(n))}list(){let t=Object.keys(this.models).map(n=>{var o;return{name:n,loaded:this.models[n]!==null,size:0,url:this.models[n]?(o=this.models[n])==null?void 0:o.modelUrl:null}});for(let n of t){let o=Object.keys(I0).find(r=>r.startsWith(n.name));o&&(n.size=I0[o].sizeLoadedWeights,n.url=I0[o].url)}return t}loaded(){return this.list().filter(o=>o.loaded).map(o=>o.name)}validate(){let t=[];for(let n of Object.keys(this.models)){let o=this.models[n];if(!o)continue;let r=Gt(this.instance,o,n);r&&t.push(r)}return t}};function Oo(e,t,n,o,r){var a,l,c,x,i,f;let s=0,A=[];for(let d of e){let m={id:s++,face:d,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let b of t)d.box[0]>b.box[0]&&d.box[0]b.box[1]&&d.box[1]+d.box[3]m.body.box[0]&&b.box[0]+b.box[2]m.body.box[1]&&b.box[1]+b.box[3]m.body.box[0]&&b.box[1]+b.box[3]>m.body.box[1]&&b.box[1]+b.box[3]{b&&b.length===4&&(y.push(b[0],b[0]+b[2]),u.push(b[1],b[1]+b[3]))};T(m.face.box),T((x=m.body)==null?void 0:x.box),T((i=m.hands.left)==null?void 0:i.box),T((f=m.hands.right)==null?void 0:f.box);let g=Math.min(...y),p=Math.min(...u);m.box=[g,p,Math.max(...y)-g,Math.max(...u)-p],r!=null&&r[1]&&(r!=null&&r[2])&&(m.boxRaw=[m.box[0]/r[2],m.box[1]/r[1],m.box[2]/r[2],m.box[3]/r[1]]),A.push(m)}return A}var d0=G(H());var Vt=` + gaze: [gaze]\xB0`, + body: "body [score]%", + bodyPart: "[label] [score]%", + object: "[label] [score]%", + hand: "[label] [score]%", + finger: "[label]", + gesture: "[where] [who]: [what]" +}; + +// src/draw/draw.ts +var drawTime = 0; +function person(inCanvas2, result, drawOptions) { + const localOptions2 = mergeDeep(options2, drawOptions); + if (!result || !inCanvas2) + return; + const ctx = getCanvasContext(inCanvas2); + if (!ctx) + return; + ctx.lineJoin = "round"; + ctx.font = localOptions2.font; + for (let i = 0; i < result.length; i++) { + if (localOptions2.drawBoxes) { + ctx.strokeStyle = localOptions2.color; + ctx.fillStyle = localOptions2.color; + rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions2); + if (localOptions2.drawLabels) { + const label = `person #${i}`; + if (localOptions2.shadowColor && localOptions2.shadowColor !== "") { + ctx.fillStyle = localOptions2.shadowColor; + ctx.fillText(label, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.fillStyle = localOptions2.labelColor; + ctx.fillText(label, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions2.lineHeight, result[i].box[2]); + } + ctx.stroke(); + } + } +} +function canvas2(input, output) { + if (!input || !output) + return; + const ctx = getCanvasContext(output); + if (!ctx) + return; + ctx.drawImage(input, 0, 0); +} +async function all(inCanvas2, result, drawOptions) { + if (!(result == null ? void 0 : result.performance) || !inCanvas2) + return null; + const timeStamp = now(); + const localOptions2 = mergeDeep(options2, drawOptions); + const promise = Promise.all([ + face(inCanvas2, result.face, localOptions2), + body(inCanvas2, result.body, localOptions2), + hand(inCanvas2, result.hand, localOptions2), + object(inCanvas2, result.object, localOptions2), + gesture(inCanvas2, result.gesture, localOptions2) + // gestures do not have buffering + // person(inCanvas, result.persons, localOptions); // already included above + ]); + drawTime = env.perfadd ? drawTime + Math.round(now() - timeStamp) : Math.round(now() - timeStamp); + result.performance.draw = drawTime; + return promise; +} +function init2() { + options2.faceLabels = defaultLabels.face; + options2.bodyLabels = defaultLabels.body; + options2.bodyPartLabels = defaultLabels.bodyPart; + options2.handLabels = defaultLabels.hand; + options2.fingerLabels = defaultLabels.finger; + options2.objectLabels = defaultLabels.object; + options2.gestureLabels = defaultLabels.gesture; +} + +// src/body/blazepose.ts +var tf9 = __toESM(require_tfjs_esm()); + +// src/body/blazeposecoords.ts +var blazeposecoords_exports = {}; +__export(blazeposecoords_exports, { + connected: () => connected, + kpt: () => kpt +}); +var kpt = [ + "nose", + // 0 + "leftEyeInside", + // 1 + "leftEye", + // 2 + "leftEyeOutside", + // 3 + "rightEyeInside", + // 4 + "rightEye", + // 5 + "rightEyeOutside", + // 6 + "leftEar", + // 7 + "rightEar", + // 8 + "leftMouth", + // 9 + "rightMouth", + // 10 + "leftShoulder", + // 11 + "rightShoulder", + // 12 + "leftElbow", + // 13 + "rightElbow", + // 14 + "leftWrist", + // 15 + "rightWrist", + // 16 + "leftPinky", + // 17 + "rightPinky", + // 18 + "leftIndex", + // 19 + "rightIndex", + // 20 + "leftThumb", + // 21 + "rightThumb", + // 22 + "leftHip", + // 23 + "rightHip", + // 24 + "leftKnee", + // 25 + "rightKnee", + // 26 + "leftAnkle", + // 27 + "rightAnkle", + // 28 + "leftHeel", + // 29 + "rightHeel", + // 30 + "leftFoot", + // 31 + "rightFoot", + // 32 + "bodyCenter", + // 33 + "bodyTop", + // 34 + "leftPalm", + // 35 // z-coord not ok + "leftHand", + // 36 // similar to wrist but z-coord not ok + "rightPalm", + // 37 // z-coord not ok + "rightHand" + // 38 // similar to wrist but z-coord not ok +]; +var connected = { + shoulders: ["leftShoulder", "rightShoulder"], + hips: ["rightHip", "leftHip"], + mouth: ["leftMouth", "rightMouth"], + leftLegUpper: ["leftHip", "leftKnee"], + leftLegLower: ["leftKnee", "leftAnkle"], + leftFoot: ["leftAnkle", "leftHeel", "leftFoot"], + leftTorso: ["leftShoulder", "leftHip"], + leftArmUpper: ["leftShoulder", "leftElbow"], + leftArmLower: ["leftElbow", "leftWrist"], + leftHand: ["leftWrist", "leftPalm"], + leftHandPinky: ["leftPalm", "leftPinky"], + leftHandIndex: ["leftPalm", "leftIndex"], + leftHandThumb: ["leftPalm", "leftThumb"], + leftEyeOutline: ["leftEyeInside", "leftEyeOutside"], + rightLegUpper: ["rightHip", "rightKnee"], + rightLegLower: ["rightKnee", "rightAnkle"], + rightFoot: ["rightAnkle", "rightHeel", "rightFoot"], + rightTorso: ["rightShoulder", "rightHip"], + rightArmUpper: ["rightShoulder", "rightElbow"], + rightArmLower: ["rightElbow", "rightWrist"], + rightHand: ["rightWrist", "rightPalm"], + rightHandPinky: ["rightPalm", "rightPinky"], + rightHandIndex: ["rightPalm", "rightIndex"], + rightHandThumb: ["rightPalm", "rightThumb"], + rightEyeOutline: ["rightEyeInside", "rightEyeOutside"] +}; + +// src/body/blazeposedetector.ts +var tf8 = __toESM(require_tfjs_esm()); +var model; +var inputSize = 224; +var anchorTensor; +var numLayers = 5; +var strides = [8, 16, 32, 32, 32]; +function createAnchors() { + const anchors3 = []; + let layerId = 0; + while (layerId < numLayers) { + let anchorCount = 0; + let lastSameStrideLayer = layerId; + while (lastSameStrideLayer < strides.length && strides[lastSameStrideLayer] === strides[layerId]) { + anchorCount += 2; + lastSameStrideLayer++; + } + const stride = strides[layerId]; + const featureMapHeight = Math.ceil(inputSize / stride); + const featureMapWidth = Math.ceil(inputSize / stride); + for (let y = 0; y < featureMapHeight; ++y) { + for (let x = 0; x < featureMapWidth; ++x) { + for (let anchorId = 0; anchorId < anchorCount; ++anchorId) { + anchors3.push({ x: (x + 0.5) / featureMapWidth, y: (y + 0.5) / featureMapHeight }); + } + } + } + layerId = lastSameStrideLayer; + } + anchorTensor = { x: tf8.tensor1d(anchors3.map((a) => a.x)), y: tf8.tensor1d(anchors3.map((a) => a.y)) }; +} +async function loadDetector(config3) { + if (env.initial) + model = null; + if (!model && config3.body["detector"] && config3.body["detector"].modelPath || "") { + model = await loadModel(config3.body["detector"].modelPath); + const inputs = (model == null ? void 0 : model["executor"]) ? Object.values(model.modelSignature["inputs"]) : void 0; + inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug && model) + log("cached model:", model["modelUrl"]); + createAnchors(); + return model; +} +var cropFactor = [5, 5]; +function decodeBoxes(boxesTensor, anchor) { + return tf8.tidy(() => { + const split6 = tf8.split(boxesTensor, 12, 1); + let xCenter = tf8.squeeze(split6[0]); + let yCenter = tf8.squeeze(split6[1]); + let width = tf8.squeeze(split6[2]); + let height = tf8.squeeze(split6[3]); + xCenter = tf8.add(tf8.div(xCenter, inputSize), anchor.x); + yCenter = tf8.add(tf8.div(yCenter, inputSize), anchor.y); + width = tf8.mul(tf8.div(width, inputSize), cropFactor[0]); + height = tf8.mul(tf8.div(height, inputSize), cropFactor[1]); + const xMin = tf8.sub(xCenter, tf8.div(width, 2)); + const yMin = tf8.sub(yCenter, tf8.div(height, 2)); + const xMax = tf8.add(xMin, width); + const yMax = tf8.add(yMin, height); + const boxes = tf8.stack([xMin, yMin, xMax, yMax], 1); + return boxes; + }); +} +async function decodeResults(boxesTensor, logitsTensor, config3, outputSize2) { + var _a, _b; + const detectedBoxes = []; + const t2 = {}; + t2.boxes = decodeBoxes(boxesTensor, anchorTensor); + t2.scores = tf8.sigmoid(logitsTensor); + t2.nms = await tf8.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, 1, ((_a = config3.body["detector"]) == null ? void 0 : _a.minConfidence) || 0.1, ((_b = config3.body["detector"]) == null ? void 0 : _b.iouThreshold) || 0.1); + const nms = await t2.nms.data(); + const scores = await t2.scores.data(); + const boxes = await t2.boxes.array(); + for (const i of Array.from(nms)) { + const score = scores[i]; + const boxRaw = boxes[i]; + const box = [Math.round(boxRaw[0] * outputSize2[0]), Math.round(boxRaw[1] * outputSize2[1]), Math.round(boxRaw[2] * outputSize2[0]), Math.round(boxRaw[3] * outputSize2[1])]; + const detectedBox = { score, boxRaw, box }; + detectedBoxes.push(detectedBox); + } + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return detectedBoxes; +} +async function detectBoxes(input, config3, outputSize2) { + const t2 = {}; + t2.res = model == null ? void 0 : model.execute(input, ["Identity"]); + t2.logitsRaw = tf8.slice(t2.res, [0, 0, 0], [1, -1, 1]); + t2.boxesRaw = tf8.slice(t2.res, [0, 0, 1], [1, -1, -1]); + t2.logits = tf8.squeeze(t2.logitsRaw); + t2.boxes = tf8.squeeze(t2.boxesRaw); + const boxes = await decodeResults(t2.boxes, t2.logits, config3, outputSize2); + Object.keys(t2).forEach((tensor6) => tf8.dispose(t2[tensor6])); + return boxes; +} + +// src/util/box.ts +function calc(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const box = [min2[0], min2[1], max5[0] - min2[0], max5[1] - min2[1]]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function square(keypoints, outputSize2 = [1, 1]) { + const coords = [keypoints.map((pt) => pt[0]), keypoints.map((pt) => pt[1])]; + const min2 = [Math.min(...coords[0]), Math.min(...coords[1])]; + const max5 = [Math.max(...coords[0]), Math.max(...coords[1])]; + const center = [(min2[0] + max5[0]) / 2, (min2[1] + max5[1]) / 2]; + const dist = Math.max(center[0] - min2[0], center[1] - min2[1], -center[0] + max5[0], -center[1] + max5[1]); + const box = [Math.trunc(center[0] - dist), Math.trunc(center[1] - dist), Math.trunc(2 * dist), Math.trunc(2 * dist)]; + const boxRaw = [box[0] / outputSize2[0], box[1] / outputSize2[1], box[2] / outputSize2[0], box[3] / outputSize2[1]]; + return { box, boxRaw }; +} +function scale(box, scaleFact) { + const dist = [box[2] * scaleFact, box[3] * scaleFact]; + const newBox = [ + box[0] - (dist[0] - box[2]) / 2, + box[1] - (dist[1] - box[3]) / 2, + dist[0], + dist[1] + ]; + return newBox; +} + +// src/body/blazepose.ts +var model2; +var inputSize2 = 256; +var skipped = Number.MAX_SAFE_INTEGER; +var outputNodes = { + landmarks: ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"], + detector: [] +}; +var cache = []; +var padding = [[0, 0], [0, 0], [0, 0], [0, 0]]; +var lastTime = 0; +var sigmoid2 = (x) => 1 - 1 / (1 + Math.exp(x)); +var loadDetect = (config3) => loadDetector(config3); +async function loadPose(config3) { + if (env.initial) + model2 = null; + if (!model2) { + model2 = await loadModel(config3.body.modelPath); + const inputs = (model2 == null ? void 0 : model2["executor"]) ? Object.values(model2.modelSignature["inputs"]) : void 0; + inputSize2 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + } else if (config3.debug) + log("cached model:", model2["modelUrl"]); + return model2; +} +function prepareImage(input, size2, cropBox) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + let final; + if (cropBox) { + t2.cropped = tf9.image.cropAndResize(input, [cropBox], [0], [input.shape[1], input.shape[2]]); + } + if (input.shape[1] !== input.shape[2]) { + const height = [ + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, + input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0 + ]; + const width = [ + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, + input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0 + ]; + padding = [ + [0, 0], + // dont touch batch + height, + // height before&after + width, + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf9.pad(t2.cropped || input, padding); + t2.resize = tf9.image.resizeBilinear(t2.pad, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else if (input.shape[1] !== size2) { + t2.resize = tf9.image.resizeBilinear(t2.cropped || input, [size2, size2]); + final = tf9.div(t2.resize, constants.tf255); + } else { + final = tf9.div(t2.cropped || input, constants.tf255); + } + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + return final; +} +function rescaleKeypoints(keypoints, outputSize2, cropBox) { + for (const kpt4 of keypoints) { + kpt4.position = [ + Math.trunc(kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0]), + Math.trunc(kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0]), + kpt4.position[2] + ]; + kpt4.positionRaw = [kpt4.position[0] / outputSize2[0], kpt4.position[1] / outputSize2[1], 2 * kpt4.position[2] / (outputSize2[0] + outputSize2[1])]; + } + if (cropBox) { + const width = cropBox[2] - cropBox[0]; + const height = cropBox[3] - cropBox[1]; + for (const kpt4 of keypoints) { + kpt4.positionRaw = [ + kpt4.positionRaw[0] / height + cropBox[1], + // correct offset due to crop + kpt4.positionRaw[1] / width + cropBox[0], + // correct offset due to crop + kpt4.positionRaw[2] + ]; + kpt4.position = [ + Math.trunc(kpt4.positionRaw[0] * outputSize2[0]), + Math.trunc(kpt4.positionRaw[1] * outputSize2[1]), + kpt4.positionRaw[2] + ]; + } + } + return keypoints; +} +function fixKeypoints(keypoints) { + const leftPalm = keypoints.find((k) => k.part === "leftPalm"); + const leftWrist = keypoints.find((k) => k.part === "leftWrist"); + const leftIndex = keypoints.find((k) => k.part === "leftIndex"); + leftPalm.position[2] = ((leftWrist.position[2] || 0) + (leftIndex.position[2] || 0)) / 2; + const rightPalm = keypoints.find((k) => k.part === "rightPalm"); + const rightWrist = keypoints.find((k) => k.part === "rightWrist"); + const rightIndex = keypoints.find((k) => k.part === "rightIndex"); + rightPalm.position[2] = ((rightWrist.position[2] || 0) + (rightIndex.position[2] || 0)) / 2; +} +async function detectLandmarks(input, config3, outputSize2) { + if (!(model2 == null ? void 0 : model2["executor"])) + return null; + const t2 = {}; + [ + t2.ld, + t2.segmentation, + t2.heatmap, + t2.world, + t2.poseflag + /* 1,1 */ + ] = model2 == null ? void 0 : model2.execute(input, outputNodes.landmarks); + const poseScore = (await t2.poseflag.data())[0]; + const points = await t2.ld.data(); + const distances = await t2.world.data(); + Object.keys(t2).forEach((tensor6) => tf9.dispose(t2[tensor6])); + const keypointsRelative = []; + const depth = 5; + for (let i = 0; i < points.length / depth; i++) { + const score = sigmoid2(points[depth * i + 3]); + const presence = sigmoid2(points[depth * i + 4]); + const adjScore = Math.trunc(100 * score * presence * poseScore) / 100; + const positionRaw = [points[depth * i + 0] / inputSize2, points[depth * i + 1] / inputSize2, points[depth * i + 2] + 0]; + const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]]; + const distance2 = [distances[depth * i + 0], distances[depth * i + 1], distances[depth * i + 2] + 0]; + keypointsRelative.push({ part: kpt[i], positionRaw, position, distance: distance2, score: adjScore }); + } + if (poseScore < (config3.body.minConfidence || 0)) + return null; + fixKeypoints(keypointsRelative); + const keypoints = rescaleKeypoints(keypointsRelative, outputSize2); + const kpts = keypoints.map((k) => k.position); + const boxes = calc(kpts, [outputSize2[0], outputSize2[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.box, boxRaw: boxes.boxRaw, keypoints, annotations: annotations2 }; + return body4; +} +async function predict(input, config3) { + var _a, _b, _c; + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime; + const skipFrame = skipped < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && cache !== null) { + skipped++; + } else { + let boxes = []; + if ((_b = (_a = config3.body) == null ? void 0 : _a["detector"]) == null ? void 0 : _b["enabled"]) { + const preparedImage = prepareImage(input, 224); + boxes = await detectBoxes(preparedImage, config3, outputSize2); + tf9.dispose(preparedImage); + } else { + boxes = [{ box: [0, 0, 0, 0], boxRaw: [0, 0, 1, 1], score: 0 }]; + } + for (let i = 0; i < boxes.length; i++) { + const preparedBox = prepareImage(input, 256, (_c = boxes[i]) == null ? void 0 : _c.boxRaw); + cache.length = 0; + const bodyResult = await detectLandmarks(preparedBox, config3, outputSize2); + tf9.dispose(preparedBox); + if (!bodyResult) + continue; + bodyResult.id = i; + cache.push(bodyResult); + } + lastTime = now(); + skipped = 0; + } + return cache; +} + +// src/object/centernet.ts +var tf10 = __toESM(require_tfjs_esm()); + +// src/object/labels.ts +var labels2 = [ + { class: 1, label: "person" }, + { class: 2, label: "bicycle" }, + { class: 3, label: "car" }, + { class: 4, label: "motorcycle" }, + { class: 5, label: "airplane" }, + { class: 6, label: "bus" }, + { class: 7, label: "train" }, + { class: 8, label: "truck" }, + { class: 9, label: "boat" }, + { class: 10, label: "traffic light" }, + { class: 11, label: "fire hydrant" }, + { class: 12, label: "stop sign" }, + { class: 13, label: "parking meter" }, + { class: 14, label: "bench" }, + { class: 15, label: "bird" }, + { class: 16, label: "cat" }, + { class: 17, label: "dog" }, + { class: 18, label: "horse" }, + { class: 19, label: "sheep" }, + { class: 20, label: "cow" }, + { class: 21, label: "elephant" }, + { class: 22, label: "bear" }, + { class: 23, label: "zebra" }, + { class: 24, label: "giraffe" }, + { class: 25, label: "backpack" }, + { class: 26, label: "umbrella" }, + { class: 27, label: "handbag" }, + { class: 28, label: "tie" }, + { class: 29, label: "suitcase" }, + { class: 30, label: "frisbee" }, + { class: 31, label: "skis" }, + { class: 32, label: "snowboard" }, + { class: 33, label: "sports ball" }, + { class: 34, label: "kite" }, + { class: 35, label: "baseball bat" }, + { class: 36, label: "baseball glove" }, + { class: 37, label: "skateboard" }, + { class: 38, label: "surfboard" }, + { class: 39, label: "tennis racket" }, + { class: 40, label: "bottle" }, + { class: 41, label: "wine glass" }, + { class: 42, label: "cup" }, + { class: 43, label: "fork" }, + { class: 44, label: "knife" }, + { class: 45, label: "spoon" }, + { class: 46, label: "bowl" }, + { class: 47, label: "banana" }, + { class: 48, label: "apple" }, + { class: 49, label: "sandwich" }, + { class: 50, label: "orange" }, + { class: 51, label: "broccoli" }, + { class: 52, label: "carrot" }, + { class: 53, label: "hot dog" }, + { class: 54, label: "pizza" }, + { class: 55, label: "donut" }, + { class: 56, label: "cake" }, + { class: 57, label: "chair" }, + { class: 58, label: "couch" }, + { class: 59, label: "potted plant" }, + { class: 60, label: "bed" }, + { class: 61, label: "dining table" }, + { class: 62, label: "toilet" }, + { class: 63, label: "tv" }, + { class: 64, label: "laptop" }, + { class: 65, label: "mouse" }, + { class: 66, label: "remote" }, + { class: 67, label: "keyboard" }, + { class: 68, label: "cell phone" }, + { class: 69, label: "microwave" }, + { class: 70, label: "oven" }, + { class: 71, label: "toaster" }, + { class: 72, label: "sink" }, + { class: 73, label: "refrigerator" }, + { class: 74, label: "book" }, + { class: 75, label: "clock" }, + { class: 76, label: "vase" }, + { class: 77, label: "scissors" }, + { class: 78, label: "teddy bear" }, + { class: 79, label: "hair drier" }, + { class: 80, label: "toothbrush" } +]; + +// src/object/centernet.ts +var model3; +var inputSize3 = 0; +var last2 = []; +var lastTime2 = 0; +var skipped2 = Number.MAX_SAFE_INTEGER; +async function load(config3) { + if (env.initial) + model3 = null; + if (!model3) { + model3 = await loadModel(config3.object.modelPath); + const inputs = (model3 == null ? void 0 : model3["executor"]) ? Object.values(model3.modelSignature["inputs"]) : void 0; + inputSize3 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", model3["modelUrl"]); + return model3; +} +async function process3(res, outputShape, config3) { + if (!res) + return []; + const t2 = {}; + const results = []; + const detections = await res.array(); + t2.squeeze = tf10.squeeze(res); + const arr = tf10.split(t2.squeeze, 6, 1); + t2.stack = tf10.stack([arr[1], arr[0], arr[3], arr[2]], 1); + t2.boxes = tf10.squeeze(t2.stack); + t2.scores = tf10.squeeze(arr[4]); + t2.classes = tf10.squeeze(arr[5]); + tf10.dispose([res, ...arr]); + t2.nms = await tf10.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence || 0); + const nms = await t2.nms.data(); + let i = 0; + for (const id of Array.from(nms)) { + const score = Math.trunc(100 * detections[0][id][4]) / 100; + const classVal = detections[0][id][5]; + if (Number.isNaN(classVal)) + continue; + const label = labels2[classVal].label; + const [x, y] = [ + detections[0][id][0] / inputSize3, + detections[0][id][1] / inputSize3 + ]; + const boxRaw = [ + x, + y, + detections[0][id][2] / inputSize3 - x, + detections[0][id][3] / inputSize3 - y + ]; + const box = [ + Math.trunc(boxRaw[0] * outputShape[0]), + Math.trunc(boxRaw[1] * outputShape[1]), + Math.trunc(boxRaw[2] * outputShape[0]), + Math.trunc(boxRaw[3] * outputShape[1]) + ]; + results.push({ id: i++, score, class: classVal, label, box, boxRaw }); + } + Object.keys(t2).forEach((tensor6) => tf10.dispose(t2[tensor6])); + return results; +} +async function predict2(input, config3) { + if (!(model3 == null ? void 0 : model3["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime2; + const skipFrame = skipped2 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last2.length > 0) { + skipped2++; + return last2; + } + skipped2 = 0; + return new Promise(async (resolve) => { + const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; + const resize = tf10.image.resizeBilinear(input, [inputSize3, inputSize3]); + const objectT = config3.object.enabled ? model3 == null ? void 0 : model3.execute(resize, ["tower_0/detections"]) : null; + lastTime2 = now(); + tf10.dispose(resize); + const obj = await process3(objectT, outputSize2, config3); + last2 = obj; + resolve(obj); + }); +} + +// src/body/efficientpose.ts +var tf11 = __toESM(require_tfjs_esm()); + +// src/body/efficientposecoords.ts +var efficientposecoords_exports = {}; +__export(efficientposecoords_exports, { + connected: () => connected2, + kpt: () => kpt2 +}); +var kpt2 = [ + "head", + "neck", + "rightShoulder", + "rightElbow", + "rightWrist", + "chest", + "leftShoulder", + "leftElbow", + "leftWrist", + "bodyCenter", + "rightHip", + "rightKnee", + "rightAnkle", + "leftHip", + "leftKnee", + "leftAnkle" +]; +var connected2 = { + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/body/efficientpose.ts +var model4; +var lastTime3 = 0; +var cache2 = { id: 0, keypoints: [], box: [0, 0, 0, 0], boxRaw: [0, 0, 0, 0], score: 0, annotations: {} }; +var skipped3 = Number.MAX_SAFE_INTEGER; +async function load2(config3) { + if (env.initial) + model4 = null; + if (!model4) + model4 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model4["modelUrl"]); + return model4; +} +async function max2d(inputs, minScore) { + const [width, height] = inputs.shape; + const reshaped = tf11.reshape(inputs, [height * width]); + const max5 = tf11.max(reshaped, 0); + const newScore = (await max5.data())[0]; + if (newScore > minScore) { + const coordinates = tf11.argMax(reshaped, 0); + const mod3 = tf11.mod(coordinates, width); + const x = (await mod3.data())[0]; + const div15 = tf11.div(coordinates, width); + const y = (await div15.data())[0]; + tf11.dispose([reshaped, max5, coordinates, mod3, div15]); + return [x, y, newScore]; + } + tf11.dispose([reshaped, max5]); + return [0, 0, newScore]; +} +async function predict3(image28, config3) { + if (!(model4 == null ? void 0 : model4["executor"]) || !(model4 == null ? void 0 : model4.inputs[0].shape)) + return []; + const skipTime = (config3.body.skipTime || 0) > now() - lastTime3; + const skipFrame = skipped3 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && Object.keys(cache2.keypoints).length > 0) { + skipped3++; + return [cache2]; + } + skipped3 = 0; + return new Promise(async (resolve) => { + const tensor6 = tf11.tidy(() => { + var _a, _b; + const resize = tf11.image.resizeBilinear(image28, [((_a = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _a[2]) || 0, ((_b = model4 == null ? void 0 : model4.inputs[0].shape) == null ? void 0 : _b[1]) || 0], false); + const enhance2 = tf11.mul(resize, constants.tf2); + const norm = tf11.sub(enhance2, constants.tf1); + return norm; + }); + let resT; + if (config3.body.enabled) + resT = model4 == null ? void 0 : model4.execute(tensor6); + lastTime3 = now(); + tf11.dispose(tensor6); + if (resT) { + cache2.keypoints.length = 0; + const squeeze14 = tf11.squeeze(resT); + tf11.dispose(resT); + const stack5 = tf11.unstack(squeeze14, 2); + tf11.dispose(squeeze14); + for (let id = 0; id < stack5.length; id++) { + const [x2, y2, partScore] = await max2d(stack5[id], config3.body.minConfidence); + if (partScore > (config3.body.minConfidence || 0)) { + cache2.keypoints.push({ + score: Math.round(100 * partScore) / 100, + part: kpt2[id], + positionRaw: [ + // normalized to 0..1 + // @ts-ignore model is not undefined here + x2 / model4.inputs[0].shape[2], + y2 / model4.inputs[0].shape[1] + ], + position: [ + // normalized to input image size + // @ts-ignore model is not undefined here + Math.round(image28.shape[2] * x2 / model4.inputs[0].shape[2]), + Math.round(image28.shape[1] * y2 / model4.inputs[0].shape[1]) + ] + }); + } + } + stack5.forEach((s) => tf11.dispose(s)); + } + cache2.score = cache2.keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const x = cache2.keypoints.map((a) => a.position[0]); + const y = cache2.keypoints.map((a) => a.position[1]); + cache2.box = [ + Math.min(...x), + Math.min(...y), + Math.max(...x) - Math.min(...x), + Math.max(...y) - Math.min(...y) + ]; + const xRaw = cache2.keypoints.map((a) => a.positionRaw[0]); + const yRaw = cache2.keypoints.map((a) => a.positionRaw[1]); + cache2.boxRaw = [ + Math.min(...xRaw), + Math.min(...yRaw), + Math.max(...xRaw) - Math.min(...xRaw), + Math.max(...yRaw) - Math.min(...yRaw) + ]; + for (const [name, indexes] of Object.entries(connected2)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i]); + const pt1 = cache2.keypoints.find((kpt4) => kpt4.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + cache2.annotations[name] = pt; + } + resolve([cache2]); + }); +} + +// src/face/face.ts +var tf25 = __toESM(require_tfjs_esm()); + +// src/face/facemesh.ts +var tf15 = __toESM(require_tfjs_esm()); + +// src/face/blazeface.ts +var tf13 = __toESM(require_tfjs_esm()); + +// src/face/facemeshutil.ts +var tf12 = __toESM(require_tfjs_esm()); +var getBoxSize = (box) => [Math.abs(box.endPoint[0] - box.startPoint[0]), Math.abs(box.endPoint[1] - box.startPoint[1])]; +var getBoxCenter = (box) => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2, 1]; +var clampBox = (box, input) => box ? [ + Math.trunc(Math.max(0, box.startPoint[0])), + Math.trunc(Math.max(0, box.startPoint[1])), + Math.trunc(Math.min(input.shape[2] || 0, box.endPoint[0]) - Math.max(0, box.startPoint[0])), + Math.trunc(Math.min(input.shape[1] || 0, box.endPoint[1]) - Math.max(0, box.startPoint[1])) +] : [0, 0, 0, 0]; +var getRawBox = (box, input) => box ? [ + box.startPoint[0] / (input.shape[2] || 0), + box.startPoint[1] / (input.shape[1] || 0), + (box.endPoint[0] - box.startPoint[0]) / (input.shape[2] || 0), + (box.endPoint[1] - box.startPoint[1]) / (input.shape[1] || 0) +] : [0, 0, 0, 0]; +var scaleBoxCoordinates = (box, factor, anchor) => { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const landmarks = box.landmarks.map((pt) => [(pt[0] + anchor[0]) * factor[0], (pt[1] + anchor[1]) * factor[1]]); + return { startPoint, endPoint, landmarks, confidence: box.confidence }; +}; +var cutAndResize = (box, image28, cropSize) => { + const h = image28.shape[1]; + const w = image28.shape[2]; + const cutBox = [box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]; + const crop = tf12.image.cropAndResize(image28, [cutBox], [0], cropSize); + const norm = tf12.div(crop, constants.tf255); + tf12.dispose(crop); + return norm; +}; +var enlargeBox = (box, factor) => { + const center = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + return { + startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]], + endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]], + landmarks: box.landmarks, + confidence: box.confidence, + size: size2 + }; +}; +var squarifyBox = (box) => { + const centers = getBoxCenter(box); + const size2 = getBoxSize(box); + const halfSize = Math.max(...size2) / 2; + return { + startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)], + endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)], + landmarks: box.landmarks, + confidence: box.confidence, + size: [Math.round(size2[0]), Math.round(size2[1])] + }; +}; +var calculateLandmarksBoundingBox = (landmarks) => { + const x = landmarks.map((d) => d[0]); + const y = landmarks.map((d) => d[1]); + return { + startPoint: [Math.min(...x), Math.min(...y)], + endPoint: [Math.max(...x), Math.max(...y)], + landmarks + }; +}; +var fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]; +var normalizeRadians = (angle) => angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +var computeRotation = (point1, point2) => normalizeRadians(Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0])); +var buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +var dot = (v1, v2) => { + let product = 0; + for (let i = 0; i < v1.length; i++) + product += v1[i] * v2[i]; + return product; +}; +var getColumnFrom2DArr = (arr, columnIndex) => { + const column = []; + for (let i = 0; i < arr.length; i++) + column.push(arr[i][columnIndex]); + return column; +}; +var multiplyTransformMatrices = (mat1, mat2) => { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) + product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col))); + } + return product; +}; +var buildRotationMatrix = (rotation, center) => { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]); + return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix); +}; +var invertTransformMatrix = (matrix) => { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [-dot(rotationComponent[0], translationComponent), -dot(rotationComponent[1], translationComponent)]; + return [rotationComponent[0].concat(invertedTranslation[0]), rotationComponent[1].concat(invertedTranslation[1]), [0, 0, 1]]; +}; +var rotatePoint = (homogeneousCoordinate, rotationMatrix) => [dot(homogeneousCoordinate, rotationMatrix[0]), dot(homogeneousCoordinate, rotationMatrix[1])]; +function generateAnchors(inputSize10) { + const spec = inputSize10 === 192 ? { strides: [4], anchors: [1] } : { strides: [inputSize10 / 16, inputSize10 / 8], anchors: [2, 6] }; + const anchors3 = []; + for (let i = 0; i < spec.strides.length; i++) { + const stride = spec.strides[i]; + const gridRows = Math.floor((inputSize10 + stride - 1) / stride); + const gridCols = Math.floor((inputSize10 + stride - 1) / stride); + const anchorsNum = spec.anchors[i]; + for (let gridY = 0; gridY < gridRows; gridY++) { + const anchorY = stride * (gridY + 0.5); + for (let gridX = 0; gridX < gridCols; gridX++) { + const anchorX = stride * (gridX + 0.5); + for (let n = 0; n < anchorsNum; n++) + anchors3.push([anchorX, anchorY]); + } + } + } + return anchors3; +} +function transformRawCoords(coordsRaw, box, angle, rotationMatrix, inputSize10) { + const boxSize = getBoxSize(box); + const coordsScaled = coordsRaw.map((coord) => [ + // scaled around zero-point + boxSize[0] / inputSize10 * (coord[0] - inputSize10 / 2), + boxSize[1] / inputSize10 * (coord[1] - inputSize10 / 2), + coord[2] || 0 + ]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + const coordsRotationMatrix = largeAngle ? buildRotationMatrix(angle, [0, 0]) : fixedRotationMatrix; + const coordsRotated = largeAngle ? coordsScaled.map((coord) => [...rotatePoint(coord, coordsRotationMatrix), coord[2]]) : coordsScaled; + const inverseRotationMatrix = largeAngle ? invertTransformMatrix(rotationMatrix) : fixedRotationMatrix; + const boxCenter = getBoxCenter(box); + const offsets = [dot(boxCenter, inverseRotationMatrix[0]), dot(boxCenter, inverseRotationMatrix[1])]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + offsets[0]), + Math.trunc(coord[1] + offsets[1]), + Math.trunc(coord[2] || 0) + ]); +} +function correctFaceRotation(rotate, box, input, inputSize10) { + const symmetryLine = box.landmarks.length >= meshLandmarks.count ? meshLandmarks.symmetryLine : blazeFaceLandmarks.symmetryLine; + let angle = 0; + let rotationMatrix = fixedRotationMatrix; + let face4; + if (rotate && env.kernels.includes("rotatewithoffset")) { + angle = computeRotation(box.landmarks[symmetryLine[0]], box.landmarks[symmetryLine[1]]); + const largeAngle = angle && angle !== 0 && Math.abs(angle) > 0.2; + if (largeAngle) { + const center = getBoxCenter(box); + const centerRaw = [center[0] / input.shape[2], center[1] / input.shape[1]]; + const rotated = tf12.image.rotateWithOffset(input, angle, 0, [centerRaw[0], centerRaw[1]]); + rotationMatrix = buildRotationMatrix(-angle, center); + face4 = cutAndResize(box, rotated, [inputSize10, inputSize10]); + tf12.dispose(rotated); + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + } else { + face4 = cutAndResize(box, input, [inputSize10, inputSize10]); + } + return [angle, rotationMatrix, face4]; +} +var findFaceCenter = (mesh) => { + const x = mesh.map((m) => m[0]); + const y = mesh.map((m) => m[1]); + return [Math.min(...x) + (Math.max(...x) - Math.min(...x)) / 2, Math.min(...y) + (Math.max(...y) - Math.min(...y)) / 2]; +}; +var calculateFaceBox = (mesh, previousBox) => { + const center = findFaceCenter(mesh); + const boxSize = getBoxSize(previousBox); + const calculatedBox = { + startPoint: [center[0] - boxSize[0] / 2, center[1] - boxSize[1] / 2], + endPoint: [center[0] + boxSize[0] / 2, center[1] + boxSize[1] / 2] + }; + return calculatedBox; +}; + +// src/face/blazeface.ts +var keypointsCount = 6; +var faceBoxScaleFactor = 1.4; +var model5; +var anchors = null; +var inputSize4 = 0; +var inputSizeT = null; +var size = () => inputSize4; +async function load3(config3) { + var _a; + if (env.initial) + model5 = null; + if (!model5) + model5 = await loadModel((_a = config3.face.detector) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model5["modelUrl"]); + inputSize4 = model5["executor"] && model5.inputs[0].shape ? model5.inputs[0].shape[2] : 256; + inputSizeT = tf13.scalar(inputSize4, "int32"); + anchors = tf13.tensor2d(generateAnchors(inputSize4)); + return model5; +} +function decodeBoxes2(boxOutputs) { + if (!anchors || !inputSizeT) + return tf13.zeros([0, 0]); + const t2 = {}; + t2.boxStarts = tf13.slice(boxOutputs, [0, 1], [-1, 2]); + t2.centers = tf13.add(t2.boxStarts, anchors); + t2.boxSizes = tf13.slice(boxOutputs, [0, 3], [-1, 2]); + t2.boxSizesNormalized = tf13.div(t2.boxSizes, inputSizeT); + t2.centersNormalized = tf13.div(t2.centers, inputSizeT); + t2.halfBoxSize = tf13.div(t2.boxSizesNormalized, constants.tf2); + t2.starts = tf13.sub(t2.centersNormalized, t2.halfBoxSize); + t2.ends = tf13.add(t2.centersNormalized, t2.halfBoxSize); + t2.startNormalized = tf13.mul(t2.starts, inputSizeT); + t2.endNormalized = tf13.mul(t2.ends, inputSizeT); + const boxes = tf13.concat2d([t2.startNormalized, t2.endNormalized], 1); + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} +async function getBoxes(inputImage, config3) { + var _a, _b, _c, _d, _e, _f; + if (!inputImage || inputImage["isDisposedInternal"] || inputImage.shape.length !== 4 || inputImage.shape[1] < 1 || inputImage.shape[2] < 1) + return []; + const t2 = {}; + t2.resized = tf13.image.resizeBilinear(inputImage, [inputSize4, inputSize4]); + t2.div = tf13.div(t2.resized, constants.tf127); + t2.normalized = tf13.sub(t2.div, constants.tf05); + const res = model5 == null ? void 0 : model5.execute(t2.normalized); + if (Array.isArray(res) && res.length > 2) { + const sorted = res.sort((a, b) => a.size - b.size); + t2.concat384 = tf13.concat([sorted[0], sorted[2]], 2); + t2.concat512 = tf13.concat([sorted[1], sorted[3]], 2); + t2.concat = tf13.concat([t2.concat512, t2.concat384], 1); + t2.batch = tf13.squeeze(t2.concat, [0]); + } else if (Array.isArray(res)) { + t2.batch = tf13.squeeze(res[0]); + } else { + t2.batch = tf13.squeeze(res); + } + tf13.dispose(res); + t2.boxes = decodeBoxes2(t2.batch); + t2.logits = tf13.slice(t2.batch, [0, 0], [-1, 1]); + t2.sigmoid = tf13.sigmoid(t2.logits); + t2.scores = tf13.squeeze(t2.sigmoid); + t2.nms = await tf13.image.nonMaxSuppressionAsync(t2.boxes, t2.scores, ((_a = config3.face.detector) == null ? void 0 : _a.maxDetected) || 0, ((_b = config3.face.detector) == null ? void 0 : _b.iouThreshold) || 0, ((_c = config3.face.detector) == null ? void 0 : _c.minConfidence) || 0); + const nms = await t2.nms.array(); + const boxes = []; + const scores = await t2.scores.data(); + for (let i = 0; i < nms.length; i++) { + const confidence = scores[nms[i]]; + if (confidence > (((_d = config3.face.detector) == null ? void 0 : _d.minConfidence) || 0)) { + const b = {}; + b.bbox = tf13.slice(t2.boxes, [nms[i], 0], [1, -1]); + b.slice = tf13.slice(t2.batch, [nms[i], keypointsCount - 1], [1, -1]); + b.squeeze = tf13.squeeze(b.slice); + b.landmarks = tf13.reshape(b.squeeze, [keypointsCount, -1]); + const points = await b.bbox.data(); + const rawBox = { + startPoint: [points[0], points[1]], + endPoint: [points[2], points[3]], + landmarks: await b.landmarks.array(), + confidence + }; + b.anchor = tf13.slice(anchors, [nms[i], 0], [1, 2]); + const anchor = await b.anchor.data(); + const scaledBox = scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize4, (inputImage.shape[1] || 0) / inputSize4], anchor); + const enlargedBox = enlargeBox(scaledBox, config3.face["scale"] || faceBoxScaleFactor); + const squaredBox = squarifyBox(enlargedBox); + if (squaredBox.size[0] > (((_e = config3.face.detector) == null ? void 0 : _e["minSize"]) || 0) && squaredBox.size[1] > (((_f = config3.face.detector) == null ? void 0 : _f["minSize"]) || 0)) + boxes.push(squaredBox); + Object.keys(b).forEach((tensor6) => tf13.dispose(b[tensor6])); + } + } + Object.keys(t2).forEach((tensor6) => tf13.dispose(t2[tensor6])); + return boxes; +} + +// src/face/iris.ts +var tf14 = __toESM(require_tfjs_esm()); +var model6; +var inputSize5 = 0; +var irisEnlarge = 2.3; +var leftOutline = meshAnnotations.leftEyeLower0; +var rightOutline = meshAnnotations.rightEyeLower0; +var eyeLandmarks = { + leftBounds: [leftOutline[0], leftOutline[leftOutline.length - 1]], + rightBounds: [rightOutline[0], rightOutline[rightOutline.length - 1]] +}; +var irisLandmarks = { + upperCenter: 3, + lowerCenter: 4, + index: 71, + numCoordinates: 76 +}; +async function load4(config3) { + var _a, _b; + if (env.initial) + model6 = null; + if (!model6) + model6 = await loadModel((_a = config3.face.iris) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model6["modelUrl"]); + inputSize5 = (model6 == null ? void 0 : model6["executor"]) && ((_b = model6.inputs) == null ? void 0 : _b[0].shape) ? model6.inputs[0].shape[2] : 0; + if (inputSize5 === -1) + inputSize5 = 64; + return model6; +} +function replaceIrisCoords(rawCoords, newCoords, prefix, keys) { + for (let i = 0; i < irisIndices.length; i++) { + const { key, indices } = irisIndices[i]; + const originalIndices = meshAnnotations[`${prefix}${key}`]; + if (!keys || keys.includes(key)) { + for (let j = 0; j < indices.length; j++) { + const index2 = indices[j]; + rawCoords[originalIndices[j]] = [ + newCoords[index2][0], + newCoords[index2][1], + (newCoords[index2][2] + rawCoords[originalIndices[j]][2]) / 2 + ]; + } + } + } +} +var getLeftToRightEyeDepthDifference = (rawCoords) => { + const leftEyeZ = rawCoords[eyeLandmarks.leftBounds[0]][2]; + const rightEyeZ = rawCoords[eyeLandmarks.rightBounds[0]][2]; + return leftEyeZ - rightEyeZ; +}; +var getEyeBox = (rawCoords, face4, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => { + const box = squarifyBox(enlargeBox(calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge)); + const boxSize = getBoxSize(box); + let crop = tf14.image.cropAndResize(face4, [[ + box.startPoint[1] / meshSize, + box.startPoint[0] / meshSize, + box.endPoint[1] / meshSize, + box.endPoint[0] / meshSize + ]], [0], [inputSize5, inputSize5]); + if (flip && env.kernels.includes("flipleftright")) { + const flipped = tf14.image.flipLeftRight(crop); + tf14.dispose(crop); + crop = flipped; + } + return { box, boxSize, crop }; +}; +var getEyeCoords = (eyeData, eyeBox, eyeBoxSize, flip = false) => { + const eyeRawCoords = []; + for (let i = 0; i < irisLandmarks.numCoordinates; i++) { + const x = eyeData[i * 3]; + const y = eyeData[i * 3 + 1]; + const z = eyeData[i * 3 + 2]; + eyeRawCoords.push([ + (flip ? 1 - x / inputSize5 : x / inputSize5) * eyeBoxSize[0] + eyeBox.startPoint[0], + y / inputSize5 * eyeBoxSize[1] + eyeBox.startPoint[1], + z + ]); + } + return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(irisLandmarks.index) }; +}; +var getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => { + const upperCenterZ = rawCoords[meshAnnotations[`${direction}EyeUpper0`][irisLandmarks.upperCenter]][2]; + const lowerCenterZ = rawCoords[meshAnnotations[`${direction}EyeLower0`][irisLandmarks.lowerCenter]][2]; + const averageZ = (upperCenterZ + lowerCenterZ) / 2; + return irisCoords.map((coord, i) => { + let z = averageZ; + if (i === 2) { + z = upperCenterZ; + } else if (i === 4) { + z = lowerCenterZ; + } + return [coord[0], coord[1], z]; + }); +}; +async function augmentIris(rawCoords, face4, meshSize) { + if (!(model6 == null ? void 0 : model6["executor"])) + return rawCoords; + const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true); + const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face4, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true); + const combined = tf14.concat([leftEyeCrop, rightEyeCrop]); + tf14.dispose(leftEyeCrop); + tf14.dispose(rightEyeCrop); + const eyePredictions = model6.execute(combined); + tf14.dispose(combined); + const eyePredictionsData = await eyePredictions.data(); + tf14.dispose(eyePredictions); + const leftEyeData = eyePredictionsData.slice(0, irisLandmarks.numCoordinates * 3); + const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true); + const rightEyeData = eyePredictionsData.slice(irisLandmarks.numCoordinates * 3); + const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize, false); + const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords); + if (Math.abs(leftToRightEyeDepthDifference) < 30) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", null); + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", null); + } else if (leftToRightEyeDepthDifference < 1) { + replaceIrisCoords(rawCoords, leftEyeRawCoords, "left", ["EyeUpper0", "EyeLower0"]); + } else { + replaceIrisCoords(rawCoords, rightEyeRawCoords, "right", ["EyeUpper0", "EyeLower0"]); + } + const adjustedLeftIrisCoords = getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, "left"); + const adjustedRightIrisCoords = getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, "right"); + const newCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords); + return newCoords; +} + +// src/face/attention.ts +async function augment(rawCoords, results) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const t2 = { + // all attention models produce 2d results so it needs to be later augmented with correct z-coords + // mesh: results[0], // already have it in rawCoords // output_mesh_identity + // flag: results[1], // already processed in parent // conv_faceflag + lips: await ((_b = (_a = results.filter((r) => r.size === 160)) == null ? void 0 : _a[0]) == null ? void 0 : _b.data()), + // 80 x 2d = 160 // output_lips + irisL: await ((_d = (_c = results.filter((r) => r.size === 10)) == null ? void 0 : _c[0]) == null ? void 0 : _d.data()), + // 5 x 2d = 10 // output_right_iris + eyeL: await ((_f = (_e = results.filter((r) => r.size === 142)) == null ? void 0 : _e[0]) == null ? void 0 : _f.data()), + // 71 x 2d = 142 // output_right_eye + irisR: await ((_h = (_g = results.filter((r) => r.size === 10)) == null ? void 0 : _g[1]) == null ? void 0 : _h.data()), + // 5 x 2d = 10 // output_left_iris + eyeR: await ((_j = (_i = results.filter((r) => r.size === 142)) == null ? void 0 : _i[1]) == null ? void 0 : _j.data()) + // 71 x 2d = 142// output_left_eye + }; + for (const val of Object.values(t2)) { + if (!val) + return rawCoords; + } + const irisLDepth = LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisL.length / 2; i++) + rawCoords.push([t2.irisL[2 * i + 0], t2.irisL[2 * i + 1], irisLDepth]); + const irisRDepth = LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.reduce((prev, curr) => prev += rawCoords[curr][2], 0) / LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG.length; + for (let i = 0; i < t2.irisR.length / 2; i++) + rawCoords.push([t2.irisR[2 * i + 0], t2.irisR[2 * i + 1], irisRDepth]); + for (let i = 0; i < t2.eyeL.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]] = [t2.eyeL[2 * i + 0], t2.eyeL[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LEFT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.eyeR.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]] = [t2.eyeR[2 * i + 0], t2.eyeR[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_RIGHT_EYE_CONFIG[i]][2]]; + for (let i = 0; i < t2.lips.length / 2; i++) + rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]] = [t2.lips[2 * i + 0], t2.lips[2 * i + 1], rawCoords[LANDMARKS_REFINEMENT_LIPS_CONFIG[i]][2]]; + return rawCoords; +} + +// src/face/facemesh.ts +var cache3 = { + boxes: [], + skipped: Number.MAX_SAFE_INTEGER, + timestamp: 0 +}; +var model7 = null; +var inputSize6 = 0; +async function predict4(input, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j; + const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - cache3.timestamp; + const skipFrame = cache3.skipped < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0); + if (!config3.skipAllowed || !skipTime || !skipFrame || cache3.boxes.length === 0) { + cache3.boxes = await getBoxes(input, config3); + cache3.timestamp = now(); + cache3.skipped = 0; + } else { + cache3.skipped++; + } + const faces = []; + const newCache = []; + let id = 0; + const size2 = inputSize6; + for (let i = 0; i < cache3.boxes.length; i++) { + const box = cache3.boxes[i]; + let angle = 0; + let rotationMatrix; + const face4 = { + // init face result + id: id++, + mesh: [], + meshRaw: [], + box: [0, 0, 0, 0], + boxRaw: [0, 0, 0, 0], + score: 0, + boxScore: 0, + faceScore: 0, + size: [0, 0], + // contoursRaw: [], + // contours: [], + annotations: {} + }; + [angle, rotationMatrix, face4.tensor] = correctFaceRotation((_c = config3.face.detector) == null ? void 0 : _c.rotation, box, input, ((_d = config3.face.mesh) == null ? void 0 : _d.enabled) ? inputSize6 : size()); + if (config3.filter.equalization) { + const equilized = face4.tensor ? await histogramEqualization(face4.tensor) : void 0; + tf15.dispose(face4.tensor); + if (equilized) + face4.tensor = equilized; + } + face4.boxScore = Math.round(100 * box.confidence) / 100; + if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled) || !(model7 == null ? void 0 : model7["executor"])) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.size = box.size; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } else if (!model7) { + if (config3.debug) + log("face mesh detection requested, but model is not loaded"); + } else { + if (((_f = config3.face.attention) == null ? void 0 : _f.enabled) && !env.kernels.includes("atan2")) { + config3.face.attention.enabled = false; + tf15.dispose(face4.tensor); + return faces; + } + const results = model7.execute(face4.tensor); + const confidenceT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1); + const faceConfidence = await confidenceT.data(); + face4.faceScore = Math.round(100 * faceConfidence[0]) / 100; + if (face4.faceScore < (((_g = config3.face.detector) == null ? void 0 : _g.minConfidence) || 1)) { + box.confidence = face4.faceScore; + if (config3.face.mesh["keepInvalid"]) { + face4.box = clampBox(box, input); + face4.boxRaw = getRawBox(box, input); + face4.score = face4.boxScore; + face4.mesh = box.landmarks; + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 1), pt[1] / (input.shape[1] || 1), (pt[2] || 0) / size2]); + for (const key of Object.keys(blazeFaceLandmarks)) { + face4.annotations[key] = [face4.mesh[blazeFaceLandmarks[key]]]; + } + } + } else { + const meshT = results.find((t2) => t2.shape[t2.shape.length - 1] === 1404); + const coordsReshaped = tf15.reshape(meshT, [-1, 3]); + let rawCoords = await coordsReshaped.array(); + tf15.dispose(coordsReshaped); + if ((_h = config3.face.attention) == null ? void 0 : _h.enabled) { + rawCoords = await augment(rawCoords, results); + } else if ((_i = config3.face.iris) == null ? void 0 : _i.enabled) { + rawCoords = await augmentIris(rawCoords, face4.tensor, inputSize6); + } + face4.mesh = transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize6); + face4.meshRaw = face4.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size2]); + for (const key of Object.keys(meshAnnotations)) + face4.annotations[key] = meshAnnotations[key].map((index2) => face4.mesh[index2]); + face4.score = face4.faceScore; + const calculatedBox = { + ...calculateFaceBox(face4.mesh, box), + confidence: box.confidence, + landmarks: box.landmarks, + size: box.size + }; + face4.box = clampBox(calculatedBox, input); + face4.boxRaw = getRawBox(calculatedBox, input); + newCache.push(calculatedBox); + } + tf15.dispose(results); + } + if (face4.score > (((_j = config3.face.detector) == null ? void 0 : _j.minConfidence) || 1)) + faces.push(face4); + else + tf15.dispose(face4.tensor); + } + cache3.boxes = newCache; + return faces; +} +async function load5(config3) { + var _a, _b, _c, _d, _e, _f; + if (env.initial) + model7 = null; + if (((_a = config3.face.attention) == null ? void 0 : _a.enabled) && (model7 == null ? void 0 : model7["signature"])) { + if (Object.keys(((_b = model7 == null ? void 0 : model7["signature"]) == null ? void 0 : _b.outputs) || {}).length < 6) + model7 = null; + } + if (!model7) { + if ((_c = config3.face.attention) == null ? void 0 : _c.enabled) + model7 = await loadModel(config3.face.attention.modelPath); + else + model7 = await loadModel((_d = config3.face.mesh) == null ? void 0 : _d.modelPath); + } else if (config3.debug) { + log("cached model:", model7["modelUrl"]); + } + inputSize6 = model7["executor"] && ((_e = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _e[0].shape) ? (_f = model7 == null ? void 0 : model7.inputs) == null ? void 0 : _f[0].shape[2] : 256; + return model7; +} +var triangulation = TRI468; +var uvmap = UV468; + +// src/gear/emotion.ts +var tf16 = __toESM(require_tfjs_esm()); +var annotations = []; +var model8; +var last3 = []; +var lastCount = 0; +var lastTime4 = 0; +var skipped4 = Number.MAX_SAFE_INTEGER; +var rgb = false; +async function load6(config3) { + var _a, _b, _c; + if (env.initial) + model8 = null; + if (!model8) { + model8 = await loadModel((_a = config3.face.emotion) == null ? void 0 : _a.modelPath); + rgb = ((_c = (_b = model8 == null ? void 0 : model8.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[3]) === 3; + if (!rgb) + annotations = ["angry", "disgust", "fear", "happy", "sad", "surprise", "neutral"]; + else + annotations = ["angry", "disgust", "fear", "happy", "neutral", "sad", "surprise"]; + } else if (config3.debug) { + log("cached model:", model8["modelUrl"]); + } + return model8; +} +async function predict5(image28, config3, idx, count2) { + var _a, _b; + if (!model8) + return []; + const skipFrame = skipped4 < (((_a = config3.face.emotion) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.emotion) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime4; + if (config3.skipAllowed && skipTime && skipFrame && lastCount === count2 && last3[idx] && last3[idx].length > 0) { + skipped4++; + return last3[idx]; + } + skipped4 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c; + const obj = []; + if ((_a2 = config3.face.emotion) == null ? void 0 : _a2.enabled) { + const t2 = {}; + const inputSize10 = (model8 == null ? void 0 : model8.inputs[0].shape) ? model8.inputs[0].shape[2] : 0; + if (((_b2 = config3.face.emotion) == null ? void 0 : _b2["crop"]) > 0) { + const crop = (_c = config3.face.emotion) == null ? void 0 : _c["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf16.image.cropAndResize(image28, box, [0], [inputSize10, inputSize10]); + } else { + t2.resize = tf16.image.resizeBilinear(image28, [inputSize10, inputSize10], false); + } + if (rgb) { + t2.mul = tf16.mul(t2.resize, 255); + t2.normalize = tf16.sub(t2.mul, [103.939, 116.779, 123.68]); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.normalize); + } else { + t2.channels = tf16.mul(t2.resize, constants.rgb); + t2.grayscale = tf16.sum(t2.channels, 3, true); + t2.grayscaleSub = tf16.sub(t2.grayscale, constants.tf05); + t2.grayscaleMul = tf16.mul(t2.grayscaleSub, constants.tf2); + t2.emotion = model8 == null ? void 0 : model8.execute(t2.grayscaleMul); + } + lastTime4 = now(); + const data = await t2.emotion.data(); + for (let i = 0; i < data.length; i++) { + if (data[i] > (config3.face.emotion.minConfidence || 0)) + obj.push({ score: Math.min(0.99, Math.trunc(100 * data[i]) / 100), emotion: annotations[i] }); + } + obj.sort((a, b) => b.score - a.score); + Object.keys(t2).forEach((tensor6) => tf16.dispose(t2[tensor6])); + } + last3[idx] = obj; + lastCount = count2; + resolve(obj); + }); +} + +// src/face/faceres.ts +var tf17 = __toESM(require_tfjs_esm()); +var model9; +var last4 = []; +var lastTime5 = 0; +var lastCount2 = 0; +var skipped5 = Number.MAX_SAFE_INTEGER; +async function load7(config3) { + var _a; + if (env.initial) + model9 = null; + if (!model9) + model9 = await loadModel((_a = config3.face.description) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model9["modelUrl"]); + return model9; +} +function enhance(input, config3) { + var _a, _b; + const tensor6 = input.image || input.tensor || input; + if (!(model9 == null ? void 0 : model9.inputs[0].shape)) + return tensor6; + let crop; + if (((_a = config3.face.description) == null ? void 0 : _a["crop"]) > 0) { + const cropval = (_b = config3.face.description) == null ? void 0 : _b["crop"]; + const box = [[cropval, cropval, 1 - cropval, 1 - cropval]]; + crop = tf17.image.cropAndResize(tensor6, box, [0], [model9.inputs[0].shape[2], model9.inputs[0].shape[1]]); + } else { + crop = tf17.image.resizeBilinear(tensor6, [model9.inputs[0].shape[2], model9.inputs[0].shape[1]], false); + } + const norm = tf17.mul(crop, constants.tf255); + tf17.dispose(crop); + return norm; +} +async function predict6(image28, config3, idx, count2) { + var _a, _b, _c, _d; + const obj = { + age: 0, + gender: "unknown", + genderScore: 0, + descriptor: [] + }; + if (!(model9 == null ? void 0 : model9["executor"])) + return obj; + const skipFrame = skipped5 < (((_a = config3.face.description) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.description) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime5; + if (config3.skipAllowed && skipFrame && skipTime && lastCount2 === count2 && ((_c = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _c.age) > 0 && ((_d = last4 == null ? void 0 : last4[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped5++; + return last4[idx]; + } + skipped5 = 0; + return new Promise(async (resolve) => { + var _a2; + if ((_a2 = config3.face.description) == null ? void 0 : _a2.enabled) { + const enhanced = enhance(image28, config3); + const resT = model9 == null ? void 0 : model9.execute(enhanced); + lastTime5 = now(); + tf17.dispose(enhanced); + const genderT = resT.find((t2) => t2.shape[1] === 1); + const gender2 = await genderT.data(); + const confidence = Math.trunc(200 * Math.abs(gender2[0] - 0.5)) / 100; + if (confidence > (config3.face.description.minConfidence || 0)) { + obj.gender = gender2[0] <= 0.5 ? "female" : "male"; + obj.genderScore = Math.min(0.99, confidence); + } + const argmax = tf17.argMax(resT.find((t2) => t2.shape[1] === 100), 1); + const ageIdx = (await argmax.data())[0]; + tf17.dispose(argmax); + const ageT = resT.find((t2) => t2.shape[1] === 100); + const all2 = await ageT.data(); + obj.age = Math.round(all2[ageIdx - 1] > all2[ageIdx + 1] ? 10 * ageIdx - 100 * all2[ageIdx - 1] : 10 * ageIdx + 100 * all2[ageIdx + 1]) / 10; + if (Number.isNaN(gender2[0]) || Number.isNaN(all2[0])) + log("faceres error:", { model: model9, result: resT }); + const desc = resT.find((t2) => t2.shape[1] === 1024); + const descriptor = desc ? await desc.data() : []; + obj.descriptor = Array.from(descriptor); + resT.forEach((t2) => tf17.dispose(t2)); + } + last4[idx] = obj; + lastCount2 = count2; + resolve(obj); + }); +} + +// src/face/mask.ts +var expandFact = 0.1; +var alpha = 0.5; +function insidePoly(x, y, polygon) { + let inside = false; + let j = polygon.length - 1; + for (let i = 0; i < polygon.length; j = i++) { + if (polygon[i].y > y !== polygon[j].y > y && x < (polygon[j].x - polygon[i].x) * (y - polygon[i].y) / (polygon[j].y - polygon[i].y) + polygon[i].x) + inside = !inside; + } + return inside; +} +async function mask(face4) { + if (!face4.tensor) + return face4.tensor; + if (!face4.mesh || face4.mesh.length < 100) + return face4.tensor; + const width = face4.tensor.shape[2] || 0; + const height = face4.tensor.shape[1] || 0; + const buffer = await face4.tensor.buffer(); + let silhouette = []; + for (const pt of meshAnnotations.silhouette) + silhouette.push({ x: (face4.mesh[pt][0] - face4.box[0]) / face4.box[2], y: (face4.mesh[pt][1] - face4.box[1]) / face4.box[3] }); + if (expandFact && expandFact > 0) + silhouette = silhouette.map((pt) => ({ x: pt.x > 0.5 ? pt.x + expandFact : pt.x - expandFact, y: pt.y > 0.5 ? pt.y + expandFact : pt.y - expandFact })); + for (let x = 0; x < width; x++) { + for (let y = 0; y < height; y++) { + const inside = insidePoly(x / width, y / width, silhouette); + if (!inside) { + buffer.set(alpha * buffer.get(0, y, x, 0), 0, y, x, 0); + buffer.set(alpha * buffer.get(0, y, x, 1), 0, y, x, 1); + buffer.set(alpha * buffer.get(0, y, x, 2), 0, y, x, 2); + } + } + } + const output = buffer.toTensor(); + return output; +} + +// src/face/antispoof.ts +var tf18 = __toESM(require_tfjs_esm()); +var model10; +var cached = []; +var skipped6 = Number.MAX_SAFE_INTEGER; +var lastCount3 = 0; +var lastTime6 = 0; +async function load8(config3) { + var _a; + if (env.initial) + model10 = null; + if (!model10) + model10 = await loadModel((_a = config3.face.antispoof) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model10["modelUrl"]); + return model10; +} +async function predict7(image28, config3, idx, count2) { + var _a, _b; + if (!(model10 == null ? void 0 : model10["executor"])) + return 0; + const skipTime = (((_a = config3.face.antispoof) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6; + const skipFrame = skipped6 < (((_b = config3.face.antispoof) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount3 === count2 && cached[idx]) { + skipped6++; + return cached[idx]; + } + skipped6 = 0; + return new Promise(async (resolve) => { + const resize = tf18.image.resizeBilinear(image28, [(model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[2] : 0, (model10 == null ? void 0 : model10.inputs[0].shape) ? model10.inputs[0].shape[1] : 0], false); + const res = model10 == null ? void 0 : model10.execute(resize); + const num = (await res.data())[0]; + cached[idx] = Math.round(100 * num) / 100; + lastCount3 = count2; + lastTime6 = now(); + tf18.dispose([resize, res]); + resolve(cached[idx]); + }); +} + +// src/face/liveness.ts +var tf19 = __toESM(require_tfjs_esm()); +var model11; +var cached2 = []; +var skipped7 = Number.MAX_SAFE_INTEGER; +var lastCount4 = 0; +var lastTime7 = 0; +async function load9(config3) { + var _a; + if (env.initial) + model11 = null; + if (!model11) + model11 = await loadModel((_a = config3.face.liveness) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model11["modelUrl"]); + return model11; +} +async function predict8(image28, config3, idx, count2) { + var _a, _b; + if (!(model11 == null ? void 0 : model11["executor"])) + return 0; + const skipTime = (((_a = config3.face.liveness) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime7; + const skipFrame = skipped7 < (((_b = config3.face.liveness) == null ? void 0 : _b.skipFrames) || 0); + if (config3.skipAllowed && skipTime && skipFrame && lastCount4 === count2 && cached2[idx]) { + skipped7++; + return cached2[idx]; + } + skipped7 = 0; + return new Promise(async (resolve) => { + const resize = tf19.image.resizeBilinear(image28, [(model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[2] : 0, (model11 == null ? void 0 : model11.inputs[0].shape) ? model11.inputs[0].shape[1] : 0], false); + const res = model11 == null ? void 0 : model11.execute(resize); + const num = (await res.data())[0]; + cached2[idx] = Math.round(100 * num) / 100; + lastCount4 = count2; + lastTime7 = now(); + tf19.dispose([resize, res]); + resolve(cached2[idx]); + }); +} + +// src/gear/gear.ts +var tf20 = __toESM(require_tfjs_esm()); +var model12; +var last5 = []; +var raceNames = ["white", "black", "asian", "indian", "other"]; +var ageWeights = [15, 23, 28, 35.5, 45.5, 55.5, 65]; +var lastCount5 = 0; +var lastTime8 = 0; +var skipped8 = Number.MAX_SAFE_INTEGER; +async function load10(config3) { + var _a; + if (env.initial) + model12 = null; + if (!model12) + model12 = await loadModel((_a = config3.face.gear) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model12["modelUrl"]); + return model12; +} +async function predict9(image28, config3, idx, count2) { + var _a, _b; + if (!model12) + return { age: 0, gender: "unknown", genderScore: 0, race: [] }; + const skipFrame = skipped8 < (((_a = config3.face.gear) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face.gear) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime8; + if (config3.skipAllowed && skipTime && skipFrame && lastCount5 === count2 && last5[idx]) { + skipped8++; + return last5[idx]; + } + skipped8 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c, _d; + if (!(model12 == null ? void 0 : model12.inputs[0].shape)) + return; + const t2 = {}; + let box = [[0, 0.1, 0.9, 0.9]]; + if (((_a2 = config3.face.gear) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face.gear) == null ? void 0 : _b2["crop"]; + box = [[crop, crop, 1 - crop, 1 - crop]]; + } + t2.resize = tf20.image.cropAndResize(image28, box, [0], [model12.inputs[0].shape[2], model12.inputs[0].shape[1]]); + const obj = { age: 0, gender: "unknown", genderScore: 0, race: [] }; + if ((_c = config3.face.gear) == null ? void 0 : _c.enabled) + [t2.age, t2.gender, t2.race] = model12.execute(t2.resize, ["age_output", "gender_output", "race_output"]); + const gender2 = await t2.gender.data(); + obj.gender = gender2[0] > gender2[1] ? "male" : "female"; + obj.genderScore = Math.round(100 * (gender2[0] > gender2[1] ? gender2[0] : gender2[1])) / 100; + const race = await t2.race.data(); + for (let i = 0; i < race.length; i++) { + if (race[i] > (((_d = config3.face.gear) == null ? void 0 : _d.minConfidence) || 0.2)) + obj.race.push({ score: Math.round(100 * race[i]) / 100, race: raceNames[i] }); + } + obj.race.sort((a, b) => b.score - a.score); + const ageDistribution = Array.from(await t2.age.data()); + const ageSorted = ageDistribution.map((a, i) => [ageWeights[i], a]).sort((a, b) => b[1] - a[1]); + let age2 = ageSorted[0][0]; + for (let i = 1; i < ageSorted.length; i++) + age2 += ageSorted[i][1] * (ageSorted[i][0] - age2); + obj.age = Math.round(10 * age2) / 10; + Object.keys(t2).forEach((tensor6) => tf20.dispose(t2[tensor6])); + last5[idx] = obj; + lastCount5 = count2; + lastTime8 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-age.ts +var tf21 = __toESM(require_tfjs_esm()); +var model13; +var last6 = []; +var lastCount6 = 0; +var lastTime9 = 0; +var skipped9 = Number.MAX_SAFE_INTEGER; +async function load11(config3) { + if (env.initial) + model13 = null; + if (!model13) + model13 = await loadModel(config3.face["ssrnet"].modelPathAge); + else if (config3.debug) + log("cached model:", model13["modelUrl"]); + return model13; +} +async function predict10(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model13) + return { age: 0 }; + const skipFrame = skipped9 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime9; + if (config3.skipAllowed && skipFrame && skipTime && lastCount6 === count2 && ((_c = last6[idx]) == null ? void 0 : _c.age) && ((_d = last6[idx]) == null ? void 0 : _d.age) > 0) { + skipped9++; + return last6[idx]; + } + skipped9 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model13 == null ? void 0 : model13.inputs) || !model13.inputs[0] || !model13.inputs[0].shape) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf21.image.cropAndResize(image28, box, [0], [model13.inputs[0].shape[2], model13.inputs[0].shape[1]]); + } else { + t2.resize = tf21.image.resizeBilinear(image28, [model13.inputs[0].shape[2], model13.inputs[0].shape[1]], false); + } + t2.enhance = tf21.mul(t2.resize, constants.tf255); + const obj = { age: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.age = model13.execute(t2.enhance); + if (t2.age) { + const data = await t2.age.data(); + obj.age = Math.trunc(10 * data[0]) / 10; + } + Object.keys(t2).forEach((tensor6) => tf21.dispose(t2[tensor6])); + last6[idx] = obj; + lastCount6 = count2; + lastTime9 = now(); + resolve(obj); + }); +} + +// src/gear/ssrnet-gender.ts +var tf22 = __toESM(require_tfjs_esm()); +var model14; +var last7 = []; +var lastCount7 = 0; +var lastTime10 = 0; +var skipped10 = Number.MAX_SAFE_INTEGER; +var rgb2 = [0.2989, 0.587, 0.114]; +async function load12(config3) { + var _a; + if (env.initial) + model14 = null; + if (!model14) + model14 = await loadModel((_a = config3.face["ssrnet"]) == null ? void 0 : _a.modelPathGender); + else if (config3.debug) + log("cached model:", model14["modelUrl"]); + return model14; +} +async function predict11(image28, config3, idx, count2) { + var _a, _b, _c, _d; + if (!model14) + return { gender: "unknown", genderScore: 0 }; + const skipFrame = skipped10 < (((_a = config3.face["ssrnet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["ssrnet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime10; + if (config3.skipAllowed && skipFrame && skipTime && lastCount7 === count2 && ((_c = last7[idx]) == null ? void 0 : _c.gender) && ((_d = last7[idx]) == null ? void 0 : _d.genderScore) > 0) { + skipped10++; + return last7[idx]; + } + skipped10 = 0; + return new Promise(async (resolve) => { + var _a2, _b2, _c2; + if (!(model14 == null ? void 0 : model14.inputs[0].shape)) + return; + const t2 = {}; + if (((_a2 = config3.face["ssrnet"]) == null ? void 0 : _a2["crop"]) > 0) { + const crop = (_b2 = config3.face["ssrnet"]) == null ? void 0 : _b2["crop"]; + const box = [[crop, crop, 1 - crop, 1 - crop]]; + t2.resize = tf22.image.cropAndResize(image28, box, [0], [model14.inputs[0].shape[2], model14.inputs[0].shape[1]]); + } else { + t2.resize = tf22.image.resizeBilinear(image28, [model14.inputs[0].shape[2], model14.inputs[0].shape[1]], false); + } + t2.enhance = tf22.tidy(() => { + var _a3, _b3; + let normalize2; + if (((_b3 = (_a3 = model14 == null ? void 0 : model14.inputs) == null ? void 0 : _a3[0].shape) == null ? void 0 : _b3[3]) === 1) { + const [red, green, blue] = tf22.split(t2.resize, 3, 3); + const redNorm = tf22.mul(red, rgb2[0]); + const greenNorm = tf22.mul(green, rgb2[1]); + const blueNorm = tf22.mul(blue, rgb2[2]); + const grayscale = tf22.addN([redNorm, greenNorm, blueNorm]); + normalize2 = tf22.mul(tf22.sub(grayscale, constants.tf05), 2); + } else { + normalize2 = tf22.mul(tf22.sub(t2.resize, constants.tf05), 2); + } + return normalize2; + }); + const obj = { gender: "unknown", genderScore: 0 }; + if ((_c2 = config3.face["ssrnet"]) == null ? void 0 : _c2.enabled) + t2.gender = model14.execute(t2.enhance); + const data = await t2.gender.data(); + obj.gender = data[0] > data[1] ? "female" : "male"; + obj.genderScore = data[0] > data[1] ? Math.trunc(100 * data[0]) / 100 : Math.trunc(100 * data[1]) / 100; + Object.keys(t2).forEach((tensor6) => tf22.dispose(t2[tensor6])); + last7[idx] = obj; + lastCount7 = count2; + lastTime10 = now(); + resolve(obj); + }); +} + +// src/face/mobilefacenet.ts +var tf23 = __toESM(require_tfjs_esm()); +var model15; +var last8 = []; +var lastCount8 = 0; +var lastTime11 = 0; +var skipped11 = Number.MAX_SAFE_INTEGER; +async function load13(config3) { + var _a; + if (env.initial) + model15 = null; + if (!model15) + model15 = await loadModel((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.modelPath); + else if (config3.debug) + log("cached model:", model15["modelUrl"]); + return model15; +} +async function predict12(input, config3, idx, count2) { + var _a, _b; + if (!(model15 == null ? void 0 : model15["executor"])) + return []; + const skipFrame = skipped11 < (((_a = config3.face["mobilefacenet"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["mobilefacenet"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime11; + if (config3.skipAllowed && skipTime && skipFrame && lastCount8 === count2 && last8[idx]) { + skipped11++; + return last8[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["mobilefacenet"]) == null ? void 0 : _a2.enabled) && (model15 == null ? void 0 : model15.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf23.image.resizeBilinear(input, [model15.inputs[0].shape[2], model15.inputs[0].shape[1]], false); + t2.data = model15.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf23.dispose(t2[tensor6])); + } + last8[idx] = data; + lastCount8 = count2; + lastTime11 = now(); + resolve(data); + }); +} + +// src/face/insightface.ts +var tf24 = __toESM(require_tfjs_esm()); +var model16; +var last9 = []; +var lastCount9 = 0; +var lastTime12 = 0; +var skipped12 = Number.MAX_SAFE_INTEGER; +async function load14(config3) { + if (env.initial) + model16 = null; + if (!model16) + model16 = await loadModel(config3.face["insightface"].modelPath); + else if (config3.debug) + log("cached model:", model16["modelUrl"]); + return model16; +} +async function predict13(input, config3, idx, count2) { + var _a, _b; + if (!(model16 == null ? void 0 : model16["executor"])) + return []; + const skipFrame = skipped12 < (((_a = config3.face["insightface"]) == null ? void 0 : _a.skipFrames) || 0); + const skipTime = (((_b = config3.face["insightface"]) == null ? void 0 : _b.skipTime) || 0) > now() - lastTime12; + if (config3.skipAllowed && skipTime && skipFrame && lastCount9 === count2 && last9[idx]) { + skipped12++; + return last9[idx]; + } + return new Promise(async (resolve) => { + var _a2; + let data = []; + if (((_a2 = config3.face["insightface"]) == null ? void 0 : _a2.enabled) && (model16 == null ? void 0 : model16.inputs[0].shape)) { + const t2 = {}; + t2.crop = tf24.image.resizeBilinear(input, [model16.inputs[0].shape[2], model16.inputs[0].shape[1]], false); + t2.data = model16.execute(t2.crop); + const output = await t2.data.data(); + data = Array.from(output); + Object.keys(t2).forEach((tensor6) => tf24.dispose(t2[tensor6])); + } + last9[idx] = data; + lastCount9 = count2; + lastTime12 = now(); + resolve(data); + }); +} + +// src/face/angles.ts +var calculateGaze = (face4) => { + const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]); + if (!face4.annotations.rightEyeIris || !face4.annotations.leftEyeIris) + return { bearing: 0, strength: 0 }; + const offsetIris = [0, -0.1]; + const eyeRatio = 1; + const left = (face4.mesh[33][2] || 0) > (face4.mesh[263][2] || 0); + const irisCenter = left ? face4.mesh[473] : face4.mesh[468]; + const eyeCenter = left ? [(face4.mesh[133][0] + face4.mesh[33][0]) / 2, (face4.mesh[133][1] + face4.mesh[33][1]) / 2] : [(face4.mesh[263][0] + face4.mesh[362][0]) / 2, (face4.mesh[263][1] + face4.mesh[362][1]) / 2]; + const eyeSize = left ? [face4.mesh[133][0] - face4.mesh[33][0], face4.mesh[23][1] - face4.mesh[27][1]] : [face4.mesh[263][0] - face4.mesh[362][0], face4.mesh[253][1] - face4.mesh[257][1]]; + const eyeDiff = [ + // x distance between extreme point and center point normalized with eye size + (eyeCenter[0] - irisCenter[0]) / eyeSize[0] - offsetIris[0], + eyeRatio * (irisCenter[1] - eyeCenter[1]) / eyeSize[1] - offsetIris[1] + ]; + let strength = Math.sqrt(eyeDiff[0] * eyeDiff[0] + eyeDiff[1] * eyeDiff[1]); + strength = Math.min(strength, face4.boxRaw[2] / 2, face4.boxRaw[3] / 2); + const bearing = (radians([0, 0], eyeDiff) + Math.PI / 2) % Math.PI; + return { bearing, strength }; +}; +var calculateFaceAngle = (face4, imageSize) => { + const normalize2 = (v) => { + const length = Math.sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]); + v[0] /= length; + v[1] /= length; + v[2] /= length; + return v; + }; + const subVectors = (a, b) => { + const x = a[0] - b[0]; + const y = a[1] - b[1]; + const z = a[2] - b[2]; + return [x, y, z]; + }; + const crossVectors = (a, b) => { + const x = a[1] * b[2] - a[2] * b[1]; + const y = a[2] * b[0] - a[0] * b[2]; + const z = a[0] * b[1] - a[1] * b[0]; + return [x, y, z]; + }; + const rotationMatrixToEulerAngle = (r) => { + const [r00, _r01, _r02, r10, r11, r12, r20, r21, r22] = r; + let thetaX; + let thetaY; + let thetaZ; + if (r10 < 1) { + if (r10 > -1) { + thetaZ = Math.asin(r10); + thetaY = Math.atan2(-r20, r00); + thetaX = Math.atan2(-r12, r11); + } else { + thetaZ = -Math.PI / 2; + thetaY = -Math.atan2(r21, r22); + thetaX = 0; + } + } else { + thetaZ = Math.PI / 2; + thetaY = Math.atan2(r21, r22); + thetaX = 0; + } + if (Number.isNaN(thetaX)) + thetaX = 0; + if (Number.isNaN(thetaY)) + thetaY = 0; + if (Number.isNaN(thetaZ)) + thetaZ = 0; + return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ }; + }; + const mesh = face4.meshRaw; + if (!mesh || mesh.length < 300) + return { angle: { pitch: 0, yaw: 0, roll: 0 }, matrix: [1, 0, 0, 0, 1, 0, 0, 0, 1], gaze: { bearing: 0, strength: 0 } }; + const size2 = Math.max(face4.boxRaw[2] * imageSize[0], face4.boxRaw[3] * imageSize[1]) / 1.5; + const pts = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [pt[0] * imageSize[0] / size2, pt[1] * imageSize[1] / size2, pt[2]]); + const yAxis = normalize2(subVectors(pts[1], pts[0])); + let xAxis = normalize2(subVectors(pts[3], pts[2])); + const zAxis = normalize2(crossVectors(xAxis, yAxis)); + xAxis = crossVectors(yAxis, zAxis); + const matrix = [ + xAxis[0], + xAxis[1], + xAxis[2], + yAxis[0], + yAxis[1], + yAxis[2], + zAxis[0], + zAxis[1], + zAxis[2] + ]; + const angle = rotationMatrixToEulerAngle(matrix); + const gaze = mesh.length === 478 ? calculateGaze(face4) : { bearing: 0, strength: 0 }; + return { angle, matrix, gaze }; +}; + +// src/face/anthropometry.ts +function calculateCameraDistance(face4, width) { + const f = face4 == null ? void 0 : face4.annotations; + if (!(f == null ? void 0 : f.leftEyeIris) || !(f == null ? void 0 : f.rightEyeIris)) + return 0; + const irisSize = Math.max(Math.abs(f.leftEyeIris[3][0] - f.leftEyeIris[1][0]), Math.abs(f.rightEyeIris[3][0] - f.rightEyeIris[1][0])) / width; + const cameraDistance = Math.round(1.17 / irisSize) / 100; + return cameraDistance; +} + +// src/face/face.ts +var detectFace = async (instance, input) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w; + let timeStamp = now(); + let ageRes; + let gearRes; + let genderRes; + let emotionRes; + let mobilefacenetRes; + let insightfaceRes; + let antispoofRes; + let livenessRes; + let descRes; + const faceRes = []; + instance.state = "run:face"; + const faces = await predict4(input, instance.config); + instance.performance.face = env.perfadd ? (instance.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + if (!input.shape || input.shape.length !== 4) + return []; + if (!faces) + return []; + for (let i = 0; i < faces.length; i++) { + instance.analyze("Get Face"); + if (!faces[i].tensor || faces[i].tensor.isDisposedInternal) { + log("Face object is disposed:", faces[i].tensor); + continue; + } + if ((_a = instance.config.face.detector) == null ? void 0 : _a.mask) { + const masked = await mask(faces[i]); + tf25.dispose(faces[i].tensor); + if (masked) + faces[i].tensor = masked; + } + const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null; + instance.analyze("Start Emotion:"); + if (instance.config.async) { + emotionRes = ((_b = instance.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + } else { + instance.state = "run:emotion"; + timeStamp = now(); + emotionRes = ((_c = instance.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : []; + instance.performance.emotion = env.perfadd ? (instance.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Emotion:"); + instance.analyze("Start AntiSpoof:"); + if (instance.config.async) { + antispoofRes = ((_d = instance.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:antispoof"; + timeStamp = now(); + antispoofRes = ((_e = instance.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict7(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.antispoof = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End AntiSpoof:"); + instance.analyze("Start Liveness:"); + if (instance.config.async) { + livenessRes = ((_f = instance.config.face.liveness) == null ? void 0 : _f.enabled) ? predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + } else { + instance.state = "run:liveness"; + timeStamp = now(); + livenessRes = ((_g = instance.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict8(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : 0; + instance.performance.liveness = env.perfadd ? (instance.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Liveness:"); + instance.analyze("Start GEAR:"); + if (instance.config.async) { + gearRes = ((_h = instance.config.face.gear) == null ? void 0 : _h.enabled) ? predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:gear"; + timeStamp = now(); + gearRes = ((_i = instance.config.face.gear) == null ? void 0 : _i.enabled) ? await predict9(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.gear = Math.trunc(now() - timeStamp); + } + instance.analyze("End GEAR:"); + instance.analyze("Start SSRNet:"); + if (instance.config.async) { + ageRes = ((_j = instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) ? predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_k = instance.config.face["ssrnet"]) == null ? void 0 : _k.enabled) ? predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:ssrnet"; + timeStamp = now(); + ageRes = ((_l = instance.config.face["ssrnet"]) == null ? void 0 : _l.enabled) ? await predict10(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + genderRes = ((_m = instance.config.face["ssrnet"]) == null ? void 0 : _m.enabled) ? await predict11(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.ssrnet = Math.trunc(now() - timeStamp); + } + instance.analyze("End SSRNet:"); + instance.analyze("Start MobileFaceNet:"); + if (instance.config.async) { + mobilefacenetRes = ((_n = instance.config.face["mobilefacenet"]) == null ? void 0 : _n.enabled) ? predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + mobilefacenetRes = ((_o = instance.config.face["mobilefacenet"]) == null ? void 0 : _o.enabled) ? await predict12(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End MobileFaceNet:"); + instance.analyze("Start InsightFace:"); + if (instance.config.async) { + insightfaceRes = ((_p = instance.config.face["insightface"]) == null ? void 0 : _p.enabled) ? predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + } else { + instance.state = "run:mobilefacenet"; + timeStamp = now(); + insightfaceRes = ((_q = instance.config.face["insightface"]) == null ? void 0 : _q.enabled) ? await predict13(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length) : null; + instance.performance.mobilefacenet = Math.trunc(now() - timeStamp); + } + instance.analyze("End InsightFace:"); + instance.analyze("Start Description:"); + if (instance.config.async) { + descRes = predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + } else { + instance.state = "run:description"; + timeStamp = now(); + descRes = await predict6(faces[i].tensor || tf25.tensor([]), instance.config, i, faces.length); + instance.performance.description = env.perfadd ? (instance.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + instance.analyze("End Description:"); + if (instance.config.async) { + [ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, mobilefacenetRes, insightfaceRes, descRes, gearRes, antispoofRes, livenessRes]); + } + instance.analyze("Finish Face:"); + if (((_r = instance.config.face["ssrnet"]) == null ? void 0 : _r.enabled) && ageRes && genderRes) { + descRes = { + ...descRes, + age: ageRes.age, + gender: genderRes.gender, + genderScore: genderRes.genderScore + }; + } + if (((_s = instance.config.face.gear) == null ? void 0 : _s.enabled) && gearRes) { + descRes = { + ...descRes, + age: gearRes.age, + gender: gearRes.gender, + genderScore: gearRes.genderScore, + race: gearRes.race + }; + } + if (((_t = instance.config.face["mobilefacenet"]) == null ? void 0 : _t.enabled) && mobilefacenetRes) { + descRes.descriptor = mobilefacenetRes; + } + if (((_u = instance.config.face["insightface"]) == null ? void 0 : _u.enabled) && insightfaceRes) { + descRes.descriptor = insightfaceRes; + } + const irisSize = ((_v = instance.config.face.iris) == null ? void 0 : _v.enabled) ? calculateCameraDistance(faces[i], input.shape[2]) : 0; + const tensor6 = ((_w = instance.config.face.detector) == null ? void 0 : _w.return) ? tf25.squeeze(faces[i].tensor) : null; + tf25.dispose(faces[i].tensor); + if (faces[i].tensor) + delete faces[i].tensor; + const res = { + ...faces[i], + id: i + }; + if (descRes.age) + res.age = descRes.age; + if (descRes.gender) + res.gender = descRes.gender; + if (descRes.genderScore) + res.genderScore = descRes.genderScore; + if (descRes.descriptor) + res.embedding = descRes.descriptor; + if (descRes.race) + res.race = descRes.race; + if (emotionRes) + res.emotion = emotionRes; + if (antispoofRes) + res.real = antispoofRes; + if (livenessRes) + res.live = livenessRes; + if (irisSize > 0) + res.distance = irisSize; + if (rotation) + res.rotation = rotation; + if (tensor6) + res.tensor = tensor6; + faceRes.push(res); + instance.analyze("End Face"); + } + instance.analyze("End FaceMesh:"); + if (instance.config.async) { + if (instance.performance.face) + delete instance.performance.face; + if (instance.performance.age) + delete instance.performance.age; + if (instance.performance.gender) + delete instance.performance.gender; + if (instance.performance.emotion) + delete instance.performance.emotion; + } + return faceRes; +}; + +// src/hand/fingerdef.ts +var Finger = { + thumb: 0, + index: 1, + middle: 2, + ring: 3, + pinky: 4, + all: [0, 1, 2, 3, 4], + // just for convenience + nameMapping: { 0: "thumb", 1: "index", 2: "middle", 3: "ring", 4: "pinky" }, + // Describes mapping of joints based on the 21 points returned by handpose. + // [0] Palm + // [1-4] Thumb + // [5-8] Index + // [9-12] Middle + // [13-16] Ring + // [17-20] Pinky + pointsMapping: { + 0: [[0, 1], [1, 2], [2, 3], [3, 4]], + 1: [[0, 5], [5, 6], [6, 7], [7, 8]], + 2: [[0, 9], [9, 10], [10, 11], [11, 12]], + 3: [[0, 13], [13, 14], [14, 15], [15, 16]], + 4: [[0, 17], [17, 18], [18, 19], [19, 20]] + }, + getName: (value) => Finger.nameMapping[value], + getPoints: (value) => Finger.pointsMapping[value] +}; +var FingerCurl = { + none: 0, + half: 1, + full: 2, + nameMapping: { 0: "none", 1: "half", 2: "full" }, + getName: (value) => FingerCurl.nameMapping[value] +}; +var FingerDirection = { + verticalUp: 0, + verticalDown: 1, + horizontalLeft: 2, + horizontalRight: 3, + diagonalUpRight: 4, + diagonalUpLeft: 5, + diagonalDownRight: 6, + diagonalDownLeft: 7, + nameMapping: { 0: "verticalUp", 1: "verticalDown", 2: "horizontalLeft", 3: "horizontalRight", 4: "diagonalUpRight", 5: "diagonalUpLeft", 6: "diagonalDownRight", 7: "diagonalDownLeft" }, + getName: (value) => FingerDirection.nameMapping[value] +}; +var FingerGesture = class { + constructor(name) { + __publicField(this, "name"); + __publicField(this, "curls"); + __publicField(this, "directions"); + __publicField(this, "weights"); + __publicField(this, "weightsRelative"); + this.name = name; + this.curls = {}; + this.directions = {}; + this.weights = [1, 1, 1, 1, 1]; + this.weightsRelative = [1, 1, 1, 1, 1]; + } + curl(finger, curl, confidence) { + if (typeof this.curls[finger] === "undefined") + this.curls[finger] = []; + this.curls[finger].push([curl, confidence]); + } + direction(finger, position, confidence) { + if (!this.directions[finger]) + this.directions[finger] = []; + this.directions[finger].push([position, confidence]); + } + weight(finger, weight) { + this.weights[finger] = weight; + const total = this.weights.reduce((a, b) => a + b, 0); + this.weightsRelative = this.weights.map((el) => el * 5 / total); + } + matchAgainst(detectedCurls, detectedDirections) { + let confidence = 0; + for (const fingerIdx in detectedCurls) { + const detectedCurl = detectedCurls[fingerIdx]; + const expectedCurls = this.curls[fingerIdx]; + if (typeof expectedCurls === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedCurl, score] of expectedCurls) { + if (detectedCurl === expectedCurl) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + for (const fingerIdx in detectedDirections) { + const detectedDirection = detectedDirections[fingerIdx]; + const expectedDirections = this.directions[fingerIdx]; + if (typeof expectedDirections === "undefined") { + confidence += this.weightsRelative[fingerIdx]; + continue; + } + for (const [expectedDirection, score] of expectedDirections) { + if (detectedDirection === expectedDirection) { + confidence += score * this.weightsRelative[fingerIdx]; + break; + } + } + } + return confidence / 10; + } +}; + +// src/hand/fingergesture.ts +var { thumb, index, middle, ring, pinky } = Finger; +var { none, half, full } = FingerCurl; +var { verticalUp, verticalDown, horizontalLeft, horizontalRight, diagonalUpRight, diagonalUpLeft, diagonalDownRight, diagonalDownLeft } = FingerDirection; +var ThumbsUp = new FingerGesture("thumbs up"); +ThumbsUp.curl(thumb, none, 1); +ThumbsUp.direction(thumb, verticalUp, 1); +ThumbsUp.direction(thumb, diagonalUpLeft, 0.25); +ThumbsUp.direction(thumb, diagonalUpRight, 0.25); +for (const finger of [Finger.index, Finger.middle, Finger.ring, Finger.pinky]) { + ThumbsUp.curl(finger, full, 1); + ThumbsUp.direction(finger, horizontalLeft, 1); + ThumbsUp.direction(finger, horizontalRight, 1); +} +var Victory = new FingerGesture("victory"); +Victory.curl(thumb, half, 0.5); +Victory.curl(thumb, none, 0.5); +Victory.direction(thumb, verticalUp, 1); +Victory.direction(thumb, diagonalUpLeft, 1); +Victory.curl(index, none, 1); +Victory.direction(index, verticalUp, 0.75); +Victory.direction(index, diagonalUpLeft, 1); +Victory.curl(middle, none, 1); +Victory.direction(middle, verticalUp, 1); +Victory.direction(middle, diagonalUpLeft, 0.75); +Victory.curl(ring, full, 1); +Victory.direction(ring, verticalUp, 0.2); +Victory.direction(ring, diagonalUpLeft, 1); +Victory.direction(ring, horizontalLeft, 0.2); +Victory.curl(pinky, full, 1); +Victory.direction(pinky, verticalUp, 0.2); +Victory.direction(pinky, diagonalUpLeft, 1); +Victory.direction(pinky, horizontalLeft, 0.2); +Victory.weight(index, 2); +Victory.weight(middle, 2); +var Point = new FingerGesture("point"); +Point.curl(thumb, full, 1); +Point.curl(index, none, 0.5); +Point.curl(middle, full, 0.5); +Point.curl(ring, full, 0.5); +Point.curl(pinky, full, 0.5); +Point.weight(index, 2); +Point.weight(middle, 2); +var MiddleFinger = new FingerGesture("middle finger"); +MiddleFinger.curl(thumb, none, 1); +MiddleFinger.curl(index, full, 0.5); +MiddleFinger.curl(middle, full, 0.5); +MiddleFinger.curl(ring, full, 0.5); +MiddleFinger.curl(pinky, full, 0.5); +MiddleFinger.weight(index, 2); +MiddleFinger.weight(middle, 2); +var OpenPalm = new FingerGesture("open palm"); +OpenPalm.curl(thumb, none, 0.75); +OpenPalm.curl(index, none, 0.75); +OpenPalm.curl(middle, none, 0.75); +OpenPalm.curl(ring, none, 0.75); +OpenPalm.curl(pinky, none, 0.75); +var fingergesture_default = [ThumbsUp, Victory, Point, MiddleFinger, OpenPalm]; + +// src/hand/fingerpose.ts +var minConfidence = 0.7; +var options3 = { + // curl estimation + HALF_CURL_START_LIMIT: 60, + NO_CURL_START_LIMIT: 130, + // direction estimation + DISTANCE_VOTE_POWER: 1.1, + SINGLE_ANGLE_VOTE_POWER: 0.9, + TOTAL_ANGLE_VOTE_POWER: 1.6 +}; +function calculateSlope(point1x, point1y, point2x, point2y) { + const value = (point1y - point2y) / (point1x - point2x); + let slope = Math.atan(value) * 180 / Math.PI; + if (slope <= 0) + slope = -slope; + else if (slope > 0) + slope = 180 - slope; + return slope; +} +function getSlopes(point1, point2) { + if (!point1 || !point2) + return [0, 0]; + const slopeXY = calculateSlope(point1[0], point1[1], point2[0], point2[1]); + if (point1.length === 2) + return slopeXY; + const slopeYZ = calculateSlope(point1[1], point1[2], point2[1], point2[2]); + return [slopeXY, slopeYZ]; +} +function angleOrientationAt(angle, weightageAt = 1) { + let isVertical = 0; + let isDiagonal = 0; + let isHorizontal = 0; + if (angle >= 75 && angle <= 105) + isVertical = 1 * weightageAt; + else if (angle >= 25 && angle <= 155) + isDiagonal = 1 * weightageAt; + else + isHorizontal = 1 * weightageAt; + return [isVertical, isDiagonal, isHorizontal]; +} +function estimateFingerCurl(startPoint, midPoint, endPoint) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const start_mid_z_dist = startPoint[2] - midPoint[2]; + const start_end_z_dist = startPoint[2] - endPoint[2]; + const mid_end_z_dist = midPoint[2] - endPoint[2]; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist + start_mid_z_dist * start_mid_z_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist + start_end_z_dist * start_end_z_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist + mid_end_z_dist * mid_end_z_dist); + let cos_in = (mid_end_dist * mid_end_dist + start_mid_dist * start_mid_dist - start_end_dist * start_end_dist) / (2 * mid_end_dist * start_mid_dist); + if (cos_in > 1) + cos_in = 1; + else if (cos_in < -1) + cos_in = -1; + let angleOfCurve = Math.acos(cos_in); + angleOfCurve = 57.2958 * angleOfCurve % 180; + let fingerCurl; + if (angleOfCurve > options3.NO_CURL_START_LIMIT) + fingerCurl = FingerCurl.none; + else if (angleOfCurve > options3.HALF_CURL_START_LIMIT) + fingerCurl = FingerCurl.half; + else + fingerCurl = FingerCurl.full; + return fingerCurl; +} +function estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + if (max_dist_x === Math.abs(start_end_x_dist)) { + if (start_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else if (max_dist_x === Math.abs(start_mid_x_dist)) { + if (start_mid_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } else { + if (mid_end_x_dist > 0) + estimatedDirection = FingerDirection.horizontalLeft; + else + estimatedDirection = FingerDirection.horizontalRight; + } + return estimatedDirection; +} +function estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y) { + let estimatedDirection; + if (max_dist_y === Math.abs(start_end_y_dist)) { + if (start_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else if (max_dist_y === Math.abs(start_mid_y_dist)) { + if (start_mid_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } else { + if (mid_end_y_dist < 0) + estimatedDirection = FingerDirection.verticalDown; + else + estimatedDirection = FingerDirection.verticalUp; + } + return estimatedDirection; +} +function estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x) { + let estimatedDirection; + const reqd_vertical_direction = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + const reqd_horizontal_direction = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + if (reqd_vertical_direction === FingerDirection.verticalUp) { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalUpLeft; + else + estimatedDirection = FingerDirection.diagonalUpRight; + } else { + if (reqd_horizontal_direction === FingerDirection.horizontalLeft) + estimatedDirection = FingerDirection.diagonalDownLeft; + else + estimatedDirection = FingerDirection.diagonalDownRight; + } + return estimatedDirection; +} +function calculateFingerDirection(startPoint, midPoint, endPoint, fingerSlopes) { + const start_mid_x_dist = startPoint[0] - midPoint[0]; + const start_end_x_dist = startPoint[0] - endPoint[0]; + const mid_end_x_dist = midPoint[0] - endPoint[0]; + const start_mid_y_dist = startPoint[1] - midPoint[1]; + const start_end_y_dist = startPoint[1] - endPoint[1]; + const mid_end_y_dist = midPoint[1] - endPoint[1]; + const max_dist_x = Math.max(Math.abs(start_mid_x_dist), Math.abs(start_end_x_dist), Math.abs(mid_end_x_dist)); + const max_dist_y = Math.max(Math.abs(start_mid_y_dist), Math.abs(start_end_y_dist), Math.abs(mid_end_y_dist)); + let voteVertical = 0; + let voteDiagonal = 0; + let voteHorizontal = 0; + const start_end_x_y_dist_ratio = max_dist_y / (max_dist_x + 1e-5); + if (start_end_x_y_dist_ratio > 1.5) + voteVertical += options3.DISTANCE_VOTE_POWER; + else if (start_end_x_y_dist_ratio > 0.66) + voteDiagonal += options3.DISTANCE_VOTE_POWER; + else + voteHorizontal += options3.DISTANCE_VOTE_POWER; + const start_mid_dist = Math.sqrt(start_mid_x_dist * start_mid_x_dist + start_mid_y_dist * start_mid_y_dist); + const start_end_dist = Math.sqrt(start_end_x_dist * start_end_x_dist + start_end_y_dist * start_end_y_dist); + const mid_end_dist = Math.sqrt(mid_end_x_dist * mid_end_x_dist + mid_end_y_dist * mid_end_y_dist); + const max_dist = Math.max(start_mid_dist, start_end_dist, mid_end_dist); + let calc_start_point_x = startPoint[0]; + let calc_start_point_y = startPoint[1]; + let calc_end_point_x = endPoint[0]; + let calc_end_point_y = endPoint[1]; + if (max_dist === start_mid_dist) { + calc_end_point_x = endPoint[0]; + calc_end_point_y = endPoint[1]; + } else if (max_dist === mid_end_dist) { + calc_start_point_x = midPoint[0]; + calc_start_point_y = midPoint[1]; + } + const calcStartPoint = [calc_start_point_x, calc_start_point_y]; + const calcEndPoint = [calc_end_point_x, calc_end_point_y]; + const totalAngle = getSlopes(calcStartPoint, calcEndPoint); + const votes = angleOrientationAt(totalAngle, options3.TOTAL_ANGLE_VOTE_POWER); + voteVertical += votes[0]; + voteDiagonal += votes[1]; + voteHorizontal += votes[2]; + for (const fingerSlope of fingerSlopes) { + const fingerVotes = angleOrientationAt(fingerSlope, options3.SINGLE_ANGLE_VOTE_POWER); + voteVertical += fingerVotes[0]; + voteDiagonal += fingerVotes[1]; + voteHorizontal += fingerVotes[2]; + } + let estimatedDirection; + if (voteVertical === Math.max(voteVertical, voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateVerticalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y); + } else if (voteHorizontal === Math.max(voteDiagonal, voteHorizontal)) { + estimatedDirection = estimateHorizontalDirection(start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } else { + estimatedDirection = estimateDiagonalDirection(start_end_y_dist, start_mid_y_dist, mid_end_y_dist, max_dist_y, start_end_x_dist, start_mid_x_dist, mid_end_x_dist, max_dist_x); + } + return estimatedDirection; +} +function estimate(landmarks) { + const slopesXY = []; + const slopesYZ = []; + const fingerCurls = []; + const fingerDirections = []; + if (!landmarks) + return { curls: fingerCurls, directions: fingerDirections }; + for (const finger of Finger.all) { + const points = Finger.getPoints(finger); + const slopeAtXY = []; + const slopeAtYZ = []; + for (const point2 of points) { + const point1 = landmarks[point2[0]]; + const point22 = landmarks[point2[1]]; + const slopes = getSlopes(point1, point22); + const slopeXY = slopes[0]; + const slopeYZ = slopes[1]; + slopeAtXY.push(slopeXY); + slopeAtYZ.push(slopeYZ); + } + slopesXY.push(slopeAtXY); + slopesYZ.push(slopeAtYZ); + } + for (const finger of Finger.all) { + const pointIndexAt = finger === Finger.thumb ? 1 : 0; + const fingerPointsAt = Finger.getPoints(finger); + const startPoint = landmarks[fingerPointsAt[pointIndexAt][0]]; + const midPoint = landmarks[fingerPointsAt[pointIndexAt + 1][1]]; + const endPoint = landmarks[fingerPointsAt[3][1]]; + const fingerCurled = estimateFingerCurl(startPoint, midPoint, endPoint); + const fingerPosition = calculateFingerDirection(startPoint, midPoint, endPoint, slopesXY[finger].slice(pointIndexAt)); + fingerCurls[finger] = fingerCurled; + fingerDirections[finger] = fingerPosition; + } + return { curls: fingerCurls, directions: fingerDirections }; +} +function analyze(keypoints) { + if (!keypoints || keypoints.length === 0) + return null; + const estimatorRes = estimate(keypoints); + const landmarks = {}; + for (const fingerIdx of Finger.all) { + landmarks[Finger.getName(fingerIdx)] = { + curl: FingerCurl.getName(estimatorRes.curls[fingerIdx]), + direction: FingerDirection.getName(estimatorRes.directions[fingerIdx]) + }; + } + return landmarks; +} +function match(keypoints) { + const poses = []; + if (!keypoints || keypoints.length === 0) + return poses; + const estimatorRes = estimate(keypoints); + for (const gesture2 of fingergesture_default) { + const confidence = gesture2.matchAgainst(estimatorRes.curls, estimatorRes.directions); + if (confidence >= minConfidence) + poses.push({ name: gesture2.name, confidence }); + } + return poses; +} + +// src/gesture/gesture.ts +var body2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const leftWrist = res[i].keypoints.find((a) => a.part === "leftWrist"); + const rightWrist = res[i].keypoints.find((a) => a.part === "rightWrist"); + const nose = res[i].keypoints.find((a) => a.part === "nose"); + if (nose && leftWrist && rightWrist && leftWrist.position[1] < nose.position[1] && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "i give up" }); + else if (nose && leftWrist && leftWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise left hand" }); + else if (nose && rightWrist && rightWrist.position[1] < nose.position[1]) + gestures.push({ body: i, gesture: "raise right hand" }); + const leftShoulder = res[i].keypoints.find((a) => a.part === "leftShoulder"); + const rightShoulder = res[i].keypoints.find((a) => a.part === "rightShoulder"); + if (leftShoulder && rightShoulder && Math.abs(leftShoulder.positionRaw[1] - rightShoulder.positionRaw[1]) > 0.1) { + gestures.push({ body: i, gesture: `leaning ${leftShoulder.position[1] > rightShoulder.position[1] ? "left" : "right"}` }); + } + } + return gestures; +}; +var face2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (res[i].mesh && res[i].mesh.length > 450) { + const zDiff = (res[i].mesh[33][2] || 0) - (res[i].mesh[263][2] || 0); + const xDiff = res[i].mesh[33][0] - res[i].mesh[263][0]; + if (Math.abs(zDiff / xDiff) <= 0.15) + gestures.push({ face: i, gesture: "facing center" }); + else + gestures.push({ face: i, gesture: `facing ${zDiff < 0 ? "left" : "right"}` }); + const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); + if (openLeft < 0.2) + gestures.push({ face: i, gesture: "blink left eye" }); + const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); + if (openRight < 0.2) + gestures.push({ face: i, gesture: "blink right eye" }); + const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1])); + if (mouthOpen > 10) + gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` }); + const chinDepth = res[i].mesh[152][2] || 0; + if (Math.abs(chinDepth) > 10) + gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? "up" : "down"}` }); + } + } + return gestures; +}; +var iris2 = (res) => { + var _a, _b, _c, _d; + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + if (!((_b = (_a = res[i].annotations) == null ? void 0 : _a.leftEyeIris) == null ? void 0 : _b[0]) || !((_d = (_c = res[i].annotations) == null ? void 0 : _c.rightEyeIris) == null ? void 0 : _d[0])) + continue; + const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0]; + const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1]; + const areaLeft = Math.abs(sizeXLeft * sizeYLeft); + const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0]; + const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1]; + const areaRight = Math.abs(sizeXRight * sizeYRight); + let center = false; + const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight); + if (difference < 0.25) { + center = true; + gestures.push({ iris: i, gesture: "facing center" }); + } + const leftIrisCenterX = Math.abs(res[i].mesh[263][0] - res[i].annotations.leftEyeIris[0][0]) / res[i].box[2]; + const rightIrisCenterX = Math.abs(res[i].mesh[33][0] - res[i].annotations.rightEyeIris[0][0]) / res[i].box[2]; + if (leftIrisCenterX > 0.06 || rightIrisCenterX > 0.06) + center = false; + if (leftIrisCenterX > rightIrisCenterX) { + if (leftIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking right" }); + } else { + if (rightIrisCenterX > 0.05) + gestures.push({ iris: i, gesture: "looking left" }); + } + const rightIrisCenterY = Math.abs(res[i].mesh[145][1] - res[i].annotations.rightEyeIris[0][1]) / res[i].box[3]; + const leftIrisCenterY = Math.abs(res[i].mesh[374][1] - res[i].annotations.leftEyeIris[0][1]) / res[i].box[3]; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01 || leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + center = false; + if (leftIrisCenterY < 0.01 || rightIrisCenterY < 0.01) + gestures.push({ iris: i, gesture: "looking down" }); + if (leftIrisCenterY > 0.022 || rightIrisCenterY > 0.022) + gestures.push({ iris: i, gesture: "looking up" }); + if (center) + gestures.push({ iris: i, gesture: "looking center" }); + } + return gestures; +}; +var hand2 = (res) => { + if (!res) + return []; + const gestures = []; + for (let i = 0; i < res.length; i++) { + const fingers = []; + if (res[i].annotations) { + for (const [finger, pos] of Object.entries(res[i].annotations)) { + if (finger !== "palmBase" && Array.isArray(pos) && pos[0]) + fingers.push({ name: finger.toLowerCase(), position: pos[0] }); + } + } + if (fingers && fingers.length > 0) { + const closest = fingers.reduce((best, a) => (best.position[2] || 0) < (a.position[2] || 0) ? best : a); + gestures.push({ hand: i, gesture: `${closest.name} forward` }); + const highest = fingers.reduce((best, a) => best.position[1] < a.position[1] ? best : a); + gestures.push({ hand: i, gesture: `${highest.name} up` }); + } + if (res[i].keypoints) { + const poses = match(res[i].keypoints); + for (const pose of poses) + gestures.push({ hand: i, gesture: pose.name }); + } + } + return gestures; +}; + +// src/hand/handposedetector.ts +var tf27 = __toESM(require_tfjs_esm()); + +// src/hand/handposeutil.ts +var tf26 = __toESM(require_tfjs_esm()); +function getBoxSize2(box) { + return [ + Math.abs(box.endPoint[0] - box.startPoint[0]), + Math.abs(box.endPoint[1] - box.startPoint[1]) + ]; +} +function getBoxCenter2(box) { + return [ + box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, + box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2 + ]; +} +function cutBoxFromImageAndResize(box, image28, cropSize) { + const h = image28.shape[1]; + const w = image28.shape[2]; + const boxes = [[ + box.startPoint[1] / h, + box.startPoint[0] / w, + box.endPoint[1] / h, + box.endPoint[0] / w + ]]; + return tf26.image.cropAndResize(image28, boxes, [0], cropSize); +} +function scaleBoxCoordinates2(box, factor) { + const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]]; + const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]]; + const palmLandmarks = box.palmLandmarks.map((coord) => { + const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]]; + return scaledCoord; + }); + return { startPoint, endPoint, palmLandmarks, confidence: box.confidence }; +} +function enlargeBox2(box, factor = 1.5) { + const center = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const newHalfSize = [factor * size2[0] / 2, factor * size2[1] / 2]; + const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]]; + const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function squarifyBox2(box) { + const centers = getBoxCenter2(box); + const size2 = getBoxSize2(box); + const maxEdge = Math.max(...size2); + const halfSize = maxEdge / 2; + const startPoint = [centers[0] - halfSize, centers[1] - halfSize]; + const endPoint = [centers[0] + halfSize, centers[1] + halfSize]; + return { startPoint, endPoint, palmLandmarks: box.palmLandmarks }; +} +function normalizeRadians2(angle) { + return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI)); +} +function computeRotation2(point1, point2) { + const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]); + return normalizeRadians2(radians); +} +var buildTranslationMatrix2 = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]]; +function dot2(v1, v2) { + let product = 0; + for (let i = 0; i < v1.length; i++) { + product += v1[i] * v2[i]; + } + return product; +} +function getColumnFrom2DArr2(arr, columnIndex) { + const column = []; + for (let i = 0; i < arr.length; i++) { + column.push(arr[i][columnIndex]); + } + return column; +} +function multiplyTransformMatrices2(mat1, mat2) { + const product = []; + const size2 = mat1.length; + for (let row = 0; row < size2; row++) { + product.push([]); + for (let col = 0; col < size2; col++) { + product[row].push(dot2(mat1[row], getColumnFrom2DArr2(mat2, col))); + } + } + return product; +} +function buildRotationMatrix2(rotation, center) { + const cosA = Math.cos(rotation); + const sinA = Math.sin(rotation); + const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]]; + const translationMatrix = buildTranslationMatrix2(center[0], center[1]); + const translationTimesRotation = multiplyTransformMatrices2(translationMatrix, rotationMatrix); + const negativeTranslationMatrix = buildTranslationMatrix2(-center[0], -center[1]); + return multiplyTransformMatrices2(translationTimesRotation, negativeTranslationMatrix); +} +function invertTransformMatrix2(matrix) { + const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]]; + const translationComponent = [matrix[0][2], matrix[1][2]]; + const invertedTranslation = [ + -dot2(rotationComponent[0], translationComponent), + -dot2(rotationComponent[1], translationComponent) + ]; + return [ + rotationComponent[0].concat(invertedTranslation[0]), + rotationComponent[1].concat(invertedTranslation[1]), + [0, 0, 1] + ]; +} +function rotatePoint2(homogeneousCoordinate, rotationMatrix) { + return [ + dot2(homogeneousCoordinate, rotationMatrix[0]), + dot2(homogeneousCoordinate, rotationMatrix[1]) + ]; +} + +// src/hand/handposeanchors.ts +var anchors2 = [ + { x: 0.015625, y: 0.015625 }, + { x: 0.015625, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.046875, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.078125, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.109375, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.140625, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.171875, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.203125, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.234375, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.265625, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.296875, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.328125, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.359375, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.390625, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.421875, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.453125, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.484375, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.515625, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.546875, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.578125, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.609375, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.640625, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.671875, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.703125, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.734375, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.765625, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.796875, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.828125, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.859375, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.890625, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.921875, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.953125, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.984375, y: 0.015625 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.015625, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.046875, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.078125, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.109375, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.140625, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.171875, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.203125, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.234375, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.265625, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.296875, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.328125, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.359375, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.390625, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.421875, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.453125, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.484375, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.515625, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.546875, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.578125, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.609375, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.640625, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.671875, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.703125, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.734375, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.765625, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.796875, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.828125, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.859375, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.890625, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.921875, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.953125, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.984375, y: 0.046875 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.015625, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.046875, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.078125, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.109375, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.140625, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.171875, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.203125, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.234375, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.265625, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.296875, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.328125, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.359375, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.390625, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.421875, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.453125, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.484375, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.515625, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.546875, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.578125, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.609375, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.640625, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.671875, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.703125, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.734375, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.765625, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.796875, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.828125, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.859375, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.890625, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.921875, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.953125, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.984375, y: 0.078125 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.015625, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.046875, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.078125, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.109375, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.140625, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.171875, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.203125, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.234375, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.265625, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.296875, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.328125, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.359375, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.390625, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.421875, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.453125, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.484375, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.515625, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.546875, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.578125, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.609375, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.640625, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.671875, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.703125, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.734375, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.765625, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.796875, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.828125, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.859375, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.890625, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.921875, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.953125, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.984375, y: 0.109375 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.015625, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.046875, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.078125, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.109375, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.140625, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.171875, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.203125, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.234375, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.265625, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.296875, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.328125, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.359375, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.390625, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.421875, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.453125, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.484375, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.515625, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.546875, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.578125, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.609375, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.640625, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.671875, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.703125, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.734375, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.765625, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.796875, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.828125, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.859375, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.890625, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.921875, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.953125, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.984375, y: 0.140625 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.015625, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.046875, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.078125, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.109375, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.140625, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.171875, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.203125, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.234375, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.265625, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.296875, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.328125, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.359375, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.390625, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.421875, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.453125, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.484375, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.515625, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.546875, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.578125, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.609375, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.640625, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.671875, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.703125, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.734375, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.765625, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.796875, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.828125, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.859375, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.890625, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.921875, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.953125, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.984375, y: 0.171875 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.015625, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.046875, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.078125, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.109375, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.140625, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.171875, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.203125, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.234375, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.265625, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.296875, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.328125, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.359375, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.390625, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.421875, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.453125, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.484375, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.515625, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.546875, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.578125, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.609375, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.640625, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.671875, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.703125, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.734375, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.765625, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.796875, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.828125, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.859375, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.890625, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.921875, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.953125, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.984375, y: 0.203125 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.015625, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.046875, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.078125, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.109375, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.140625, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.171875, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.203125, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.234375, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.265625, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.296875, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.328125, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.359375, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.390625, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.421875, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.453125, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.484375, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.515625, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.546875, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.578125, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.609375, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.640625, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.671875, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.703125, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.734375, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.765625, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.796875, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.828125, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.859375, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.890625, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.921875, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.953125, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.984375, y: 0.234375 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.015625, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.046875, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.078125, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.109375, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.140625, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.171875, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.203125, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.234375, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.265625, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.296875, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.328125, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.359375, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.390625, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.421875, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.453125, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.484375, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.515625, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.546875, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.578125, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.609375, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.640625, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.671875, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.703125, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.734375, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.765625, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.796875, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.828125, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.859375, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.890625, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.921875, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.953125, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.984375, y: 0.265625 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.015625, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.046875, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.078125, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.109375, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.140625, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.171875, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.203125, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.234375, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.265625, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.296875, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.328125, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.359375, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.390625, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.421875, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.453125, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.484375, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.515625, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.546875, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.578125, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.609375, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.640625, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.671875, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.703125, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.734375, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.765625, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.796875, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.828125, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.859375, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.890625, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.921875, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.953125, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.984375, y: 0.296875 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.015625, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.046875, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.078125, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.109375, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.140625, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.171875, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.203125, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.234375, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.265625, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.296875, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.328125, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.359375, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.390625, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.421875, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.453125, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.484375, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.515625, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.546875, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.578125, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.609375, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.640625, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.671875, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.703125, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.734375, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.765625, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.796875, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.828125, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.859375, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.890625, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.921875, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.953125, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.984375, y: 0.328125 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.015625, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.046875, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.078125, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.109375, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.140625, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.171875, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.203125, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.234375, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.265625, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.296875, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.328125, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.359375, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.390625, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.421875, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.453125, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.484375, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.515625, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.546875, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.578125, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.609375, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.640625, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.671875, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.703125, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.734375, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.765625, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.796875, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.828125, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.859375, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.890625, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.921875, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.953125, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.984375, y: 0.359375 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.015625, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.046875, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.078125, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.109375, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.140625, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.171875, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.203125, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.234375, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.265625, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.296875, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.328125, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.359375, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.390625, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.421875, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.453125, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.484375, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.515625, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.546875, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.578125, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.609375, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.640625, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.671875, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.703125, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.734375, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.765625, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.796875, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.828125, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.859375, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.890625, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.921875, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.953125, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.984375, y: 0.390625 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.015625, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.046875, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.078125, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.109375, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.140625, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.171875, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.203125, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.234375, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.265625, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.296875, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.328125, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.359375, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.390625, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.421875, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.453125, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.484375, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.515625, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.546875, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.578125, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.609375, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.640625, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.671875, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.703125, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.734375, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.765625, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.796875, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.828125, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.859375, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.890625, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.921875, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.953125, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.984375, y: 0.421875 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.015625, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.046875, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.078125, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.109375, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.140625, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.171875, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.203125, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.234375, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.265625, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.296875, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.328125, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.359375, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.390625, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.421875, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.453125, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.484375, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.515625, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.546875, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.578125, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.609375, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.640625, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.671875, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.703125, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.734375, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.765625, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.796875, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.828125, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.859375, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.890625, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.921875, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.953125, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.984375, y: 0.453125 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.015625, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.046875, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.078125, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.109375, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.140625, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.171875, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.203125, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.234375, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.265625, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.296875, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.328125, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.359375, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.390625, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.421875, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.453125, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.484375, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.515625, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.546875, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.578125, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.609375, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.640625, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.671875, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.703125, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.734375, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.765625, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.796875, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.828125, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.859375, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.890625, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.921875, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.953125, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.984375, y: 0.484375 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.015625, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.046875, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.078125, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.109375, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.140625, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.171875, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.203125, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.234375, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.265625, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.296875, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.328125, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.359375, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.390625, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.421875, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.453125, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.484375, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.515625, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.546875, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.578125, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.609375, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.640625, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.671875, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.703125, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.734375, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.765625, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.796875, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.828125, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.859375, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.890625, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.921875, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.953125, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.984375, y: 0.515625 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.015625, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.046875, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.078125, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.109375, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.140625, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.171875, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.203125, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.234375, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.265625, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.296875, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.328125, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.359375, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.390625, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.421875, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.453125, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.484375, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.515625, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.546875, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.578125, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.609375, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.640625, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.671875, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.703125, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.734375, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.765625, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.796875, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.828125, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.859375, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.890625, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.921875, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.953125, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.984375, y: 0.546875 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.015625, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.046875, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.078125, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.109375, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.140625, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.171875, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.203125, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.234375, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.265625, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.296875, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.328125, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.359375, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.390625, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.421875, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.453125, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.484375, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.515625, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.546875, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.578125, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.609375, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.640625, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.671875, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.703125, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.734375, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.765625, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.796875, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.828125, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.859375, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.890625, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.921875, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.953125, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.984375, y: 0.578125 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.015625, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.046875, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.078125, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.109375, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.140625, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.171875, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.203125, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.234375, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.265625, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.296875, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.328125, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.359375, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.390625, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.421875, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.453125, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.484375, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.515625, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.546875, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.578125, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.609375, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.640625, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.671875, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.703125, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.734375, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.765625, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.796875, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.828125, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.859375, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.890625, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.921875, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.953125, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.984375, y: 0.609375 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.015625, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.046875, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.078125, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.109375, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.140625, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.171875, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.203125, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.234375, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.265625, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.296875, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.328125, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.359375, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.390625, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.421875, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.453125, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.484375, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.515625, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.546875, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.578125, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.609375, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.640625, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.671875, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.703125, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.734375, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.765625, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.796875, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.828125, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.859375, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.890625, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.921875, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.953125, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.984375, y: 0.640625 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.015625, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.046875, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.078125, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.109375, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.140625, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.171875, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.203125, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.234375, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.265625, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.296875, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.328125, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.359375, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.390625, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.421875, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.453125, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.484375, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.515625, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.546875, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.578125, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.609375, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.640625, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.671875, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.703125, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.734375, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.765625, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.796875, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.828125, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.859375, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.890625, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.921875, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.953125, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.984375, y: 0.671875 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.015625, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.046875, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.078125, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.109375, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.140625, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.171875, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.203125, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.234375, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.265625, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.296875, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.328125, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.359375, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.390625, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.421875, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.453125, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.484375, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.515625, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.546875, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.578125, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.609375, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.640625, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.671875, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.703125, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.734375, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.765625, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.796875, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.828125, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.859375, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.890625, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.921875, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.953125, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.984375, y: 0.703125 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.015625, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.046875, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.078125, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.109375, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.140625, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.171875, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.203125, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.234375, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.265625, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.296875, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.328125, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.359375, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.390625, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.421875, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.453125, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.484375, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.515625, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.546875, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.578125, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.609375, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.640625, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.671875, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.703125, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.734375, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.765625, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.796875, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.828125, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.859375, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.890625, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.921875, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.953125, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.984375, y: 0.734375 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.015625, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.046875, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.078125, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.109375, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.140625, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.171875, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.203125, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.234375, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.265625, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.296875, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.328125, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.359375, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.390625, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.421875, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.453125, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.484375, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.515625, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.546875, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.578125, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.609375, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.640625, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.671875, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.703125, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.734375, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.765625, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.796875, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.828125, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.859375, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.890625, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.921875, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.953125, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.984375, y: 0.765625 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.015625, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.046875, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.078125, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.109375, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.140625, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.171875, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.203125, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.234375, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.265625, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.296875, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.328125, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.359375, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.390625, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.421875, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.453125, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.484375, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.515625, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.546875, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.578125, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.609375, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.640625, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.671875, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.703125, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.734375, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.765625, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.796875, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.828125, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.859375, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.890625, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.921875, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.953125, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.984375, y: 0.796875 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.015625, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.046875, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.078125, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.109375, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.140625, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.171875, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.203125, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.234375, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.265625, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.296875, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.328125, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.359375, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.390625, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.421875, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.453125, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.484375, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.515625, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.546875, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.578125, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.609375, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.640625, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.671875, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.703125, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.734375, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.765625, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.796875, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.828125, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.859375, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.890625, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.921875, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.953125, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.984375, y: 0.828125 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.015625, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.046875, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.078125, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.109375, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.140625, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.171875, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.203125, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.234375, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.265625, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.296875, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.328125, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.359375, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.390625, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.421875, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.453125, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.484375, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.515625, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.546875, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.578125, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.609375, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.640625, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.671875, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.703125, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.734375, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.765625, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.796875, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.828125, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.859375, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.890625, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.921875, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.953125, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.984375, y: 0.859375 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.015625, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.046875, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.078125, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.109375, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.140625, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.171875, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.203125, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.234375, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.265625, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.296875, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.328125, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.359375, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.390625, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.421875, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.453125, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.484375, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.515625, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.546875, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.578125, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.609375, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.640625, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.671875, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.703125, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.734375, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.765625, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.796875, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.828125, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.859375, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.890625, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.921875, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.953125, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.984375, y: 0.890625 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.015625, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.046875, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.078125, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.109375, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.140625, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.171875, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.203125, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.234375, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.265625, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.296875, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.328125, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.359375, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.390625, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.421875, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.453125, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.484375, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.515625, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.546875, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.578125, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.609375, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.640625, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.671875, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.703125, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.734375, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.765625, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.796875, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.828125, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.859375, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.890625, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.921875, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.953125, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.984375, y: 0.921875 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.015625, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.046875, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.078125, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.109375, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.140625, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.171875, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.203125, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.234375, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.265625, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.296875, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.328125, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.359375, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.390625, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.421875, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.453125, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.484375, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.515625, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.546875, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.578125, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.609375, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.640625, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.671875, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.703125, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.734375, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.765625, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.796875, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.828125, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.859375, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.890625, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.921875, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.953125, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.984375, y: 0.953125 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.015625, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.046875, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.078125, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.109375, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.140625, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.171875, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.203125, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.234375, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.265625, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.296875, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.328125, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.359375, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.390625, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.421875, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.453125, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.484375, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.515625, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.546875, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.578125, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.609375, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.640625, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.671875, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.703125, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.734375, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.765625, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.796875, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.828125, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.859375, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.890625, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.921875, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.953125, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.984375, y: 0.984375 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.03125, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.09375, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.15625, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.21875, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.28125, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.34375, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.40625, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.46875, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.53125, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.59375, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.65625, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.71875, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.78125, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.84375, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.90625, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.96875, y: 0.03125 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.03125, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.09375, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.15625, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.21875, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.28125, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.34375, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.40625, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.46875, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.53125, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.59375, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.65625, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.71875, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.78125, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.84375, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.90625, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.96875, y: 0.09375 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.03125, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.09375, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.15625, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.21875, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.28125, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.34375, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.40625, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.46875, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.53125, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.59375, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.65625, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.71875, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.78125, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.84375, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.90625, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.96875, y: 0.15625 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.03125, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.09375, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.15625, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.21875, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.28125, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.34375, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.40625, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.46875, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.53125, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.59375, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.65625, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.71875, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.78125, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.84375, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.90625, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.96875, y: 0.21875 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.03125, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.09375, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.15625, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.21875, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.28125, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.34375, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.40625, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.46875, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.53125, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.59375, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.65625, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.71875, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.78125, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.84375, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.90625, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.96875, y: 0.28125 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.03125, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.09375, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.15625, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.21875, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.28125, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.34375, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.40625, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.46875, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.53125, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.59375, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.65625, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.71875, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.78125, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.84375, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.90625, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.96875, y: 0.34375 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.03125, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.09375, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.15625, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.21875, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.28125, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.34375, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.40625, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.46875, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.53125, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.59375, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.65625, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.71875, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.78125, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.84375, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.90625, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.96875, y: 0.40625 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.03125, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.09375, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.15625, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.21875, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.28125, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.34375, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.40625, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.46875, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.53125, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.59375, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.65625, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.71875, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.78125, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.84375, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.90625, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.96875, y: 0.46875 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.03125, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.09375, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.15625, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.21875, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.28125, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.34375, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.40625, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.46875, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.53125, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.59375, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.65625, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.71875, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.78125, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.84375, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.90625, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.96875, y: 0.53125 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.03125, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.09375, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.15625, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.21875, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.28125, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.34375, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.40625, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.46875, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.53125, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.59375, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.65625, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.71875, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.78125, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.84375, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.90625, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.96875, y: 0.59375 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.03125, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.09375, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.15625, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.21875, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.28125, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.34375, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.40625, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.46875, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.53125, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.59375, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.65625, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.71875, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.78125, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.84375, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.90625, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.96875, y: 0.65625 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.03125, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.09375, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.15625, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.21875, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.28125, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.34375, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.40625, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.46875, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.53125, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.59375, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.65625, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.71875, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.78125, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.84375, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.90625, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.96875, y: 0.71875 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.03125, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.09375, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.15625, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.21875, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.28125, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.34375, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.40625, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.46875, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.53125, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.59375, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.65625, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.71875, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.78125, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.84375, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.90625, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.96875, y: 0.78125 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.03125, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.09375, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.15625, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.21875, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.28125, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.34375, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.40625, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.46875, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.53125, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.59375, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.65625, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.71875, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.78125, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.84375, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.90625, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.96875, y: 0.84375 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.03125, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.09375, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.15625, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.21875, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.28125, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.34375, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.40625, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.46875, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.53125, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.59375, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.65625, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.71875, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.78125, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.84375, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.90625, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.96875, y: 0.90625 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.03125, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.09375, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.15625, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.21875, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.28125, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.34375, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.40625, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.46875, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.53125, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.59375, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.65625, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.71875, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.78125, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.84375, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.90625, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.96875, y: 0.96875 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.0625, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.1875, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.3125, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.4375, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.5625, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.6875, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.8125, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.9375, y: 0.0625 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.0625, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.1875, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.3125, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.4375, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.5625, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.6875, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.8125, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.9375, y: 0.1875 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.0625, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.1875, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.3125, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.4375, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.5625, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.6875, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.8125, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.9375, y: 0.3125 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.0625, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.1875, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.3125, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.4375, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.5625, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.6875, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.8125, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.9375, y: 0.4375 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.0625, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.1875, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.3125, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.4375, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.5625, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.6875, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.8125, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.9375, y: 0.5625 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.0625, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.1875, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.3125, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.4375, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.5625, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.6875, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.8125, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.9375, y: 0.6875 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.0625, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.1875, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.3125, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.4375, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.5625, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.6875, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.8125, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.9375, y: 0.8125 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.0625, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.1875, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.3125, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.4375, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.5625, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.6875, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.8125, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 }, + { x: 0.9375, y: 0.9375 } +]; + +// src/hand/handposedetector.ts +var HandDetector = class { + constructor(model23) { + __publicField(this, "model"); + __publicField(this, "anchors"); + __publicField(this, "anchorsTensor"); + __publicField(this, "inputSize"); + __publicField(this, "inputSizeTensor"); + __publicField(this, "doubleInputSizeTensor"); + var _a, _b, _c, _d; + this.model = model23; + this.anchors = anchors2.map((anchor) => [anchor.x, anchor.y]); + this.anchorsTensor = tf27.tensor2d(this.anchors); + this.inputSize = ((_d = (_c = (_b = (_a = this == null ? void 0 : this.model) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0]) == null ? void 0 : _c.shape) == null ? void 0 : _d[2]) || 0; + this.inputSizeTensor = tf27.tensor1d([this.inputSize, this.inputSize]); + this.doubleInputSizeTensor = tf27.tensor1d([this.inputSize * 2, this.inputSize * 2]); + } + normalizeBoxes(boxes) { + const t2 = {}; + t2.boxOffsets = tf27.slice(boxes, [0, 0], [-1, 2]); + t2.boxSizes = tf27.slice(boxes, [0, 2], [-1, 2]); + t2.div = tf27.div(t2.boxOffsets, this.inputSizeTensor); + t2.boxCenterPoints = tf27.add(t2.div, this.anchorsTensor); + t2.halfBoxSizes = tf27.div(t2.boxSizes, this.doubleInputSizeTensor); + t2.sub = tf27.sub(t2.boxCenterPoints, t2.halfBoxSizes); + t2.startPoints = tf27.mul(t2.sub, this.inputSizeTensor); + t2.add = tf27.add(t2.boxCenterPoints, t2.halfBoxSizes); + t2.endPoints = tf27.mul(t2.add, this.inputSizeTensor); + const res = tf27.concat2d([t2.startPoints, t2.endPoints], 1); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + normalizeLandmarks(rawPalmLandmarks, index2) { + const t2 = {}; + t2.reshape = tf27.reshape(rawPalmLandmarks, [-1, 7, 2]); + t2.div = tf27.div(t2.reshape, this.inputSizeTensor); + t2.landmarks = tf27.add(t2.div, this.anchors[index2] ? this.anchors[index2] : 0); + const res = tf27.mul(t2.landmarks, this.inputSizeTensor); + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return res; + } + async predict(input, config3) { + var _a; + const t2 = {}; + t2.resize = tf27.image.resizeBilinear(input, [this.inputSize, this.inputSize]); + t2.div = tf27.div(t2.resize, constants.tf127); + t2.image = tf27.sub(t2.div, constants.tf1); + t2.batched = this.model.execute(t2.image); + t2.predictions = tf27.squeeze(t2.batched); + t2.slice = tf27.slice(t2.predictions, [0, 0], [-1, 1]); + t2.sigmoid = tf27.sigmoid(t2.slice); + t2.scores = tf27.squeeze(t2.sigmoid); + const scores = await t2.scores.data(); + t2.boxes = tf27.slice(t2.predictions, [0, 1], [-1, 4]); + t2.norm = this.normalizeBoxes(t2.boxes); + t2.nms = await tf27.image.nonMaxSuppressionAsync(t2.norm, t2.scores, 3 * (((_a = config3.hand) == null ? void 0 : _a.maxDetected) || 1), config3.hand.iouThreshold, config3.hand.minConfidence); + const nms = await t2.nms.array(); + const hands = []; + for (const index2 of nms) { + const p = {}; + p.box = tf27.slice(t2.norm, [index2, 0], [1, -1]); + p.slice = tf27.slice(t2.predictions, [index2, 5], [1, 14]); + p.norm = this.normalizeLandmarks(p.slice, index2); + p.palmLandmarks = tf27.reshape(p.norm, [-1, 2]); + const box = await p.box.data(); + const startPoint = box.slice(0, 2); + const endPoint = box.slice(2, 4); + const palmLandmarks = await p.palmLandmarks.array(); + const hand3 = { startPoint, endPoint, palmLandmarks, confidence: scores[index2] }; + const scaled = scaleBoxCoordinates2(hand3, [(input.shape[2] || 1) / this.inputSize, (input.shape[1] || 0) / this.inputSize]); + hands.push(scaled); + Object.keys(p).forEach((tensor6) => tf27.dispose(p[tensor6])); + } + Object.keys(t2).forEach((tensor6) => tf27.dispose(t2[tensor6])); + return hands; + } +}; + +// src/hand/handposepipeline.ts +var tf28 = __toESM(require_tfjs_esm()); +var palmBoxEnlargeFactor = 5; +var handBoxEnlargeFactor = 1.65; +var palmLandmarkIds = [0, 5, 9, 13, 17, 1, 2]; +var palmLandmarksPalmBase = 0; +var palmLandmarksMiddleFingerBase = 2; +var lastTime13 = 0; +var HandPipeline = class { + constructor(handDetector, handPoseModel2) { + __publicField(this, "handDetector"); + __publicField(this, "handPoseModel"); + __publicField(this, "inputSize"); + __publicField(this, "storedBoxes"); + __publicField(this, "skipped"); + __publicField(this, "detectedHands"); + var _a, _b, _c; + this.handDetector = handDetector; + this.handPoseModel = handPoseModel2; + this.inputSize = ((_c = (_b = (_a = this.handPoseModel) == null ? void 0 : _a.inputs) == null ? void 0 : _b[0].shape) == null ? void 0 : _c[2]) || 0; + this.storedBoxes = []; + this.skipped = Number.MAX_SAFE_INTEGER; + this.detectedHands = 0; + } + calculateLandmarksBoundingBox(landmarks) { + const xs = landmarks.map((d) => d[0]); + const ys = landmarks.map((d) => d[1]); + const startPoint = [Math.min(...xs), Math.min(...ys)]; + const endPoint = [Math.max(...xs), Math.max(...ys)]; + return { startPoint, endPoint }; + } + getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) { + const rotatedPalmLandmarks = palmLandmarks.map((coord) => rotatePoint2([...coord, 1], rotationMatrix)); + const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks); + return enlargeBox2(squarifyBox2(boxAroundPalm), palmBoxEnlargeFactor); + } + getBoxForHandLandmarks(landmarks) { + const boundingBox = this.calculateLandmarksBoundingBox(landmarks); + const boxAroundHand = enlargeBox2(squarifyBox2(boundingBox), handBoxEnlargeFactor); + boxAroundHand.palmLandmarks = []; + for (let i = 0; i < palmLandmarkIds.length; i++) { + boxAroundHand.palmLandmarks.push(landmarks[palmLandmarkIds[i]].slice(0, 2)); + } + return boxAroundHand; + } + transformRawCoords(rawCoords, box2, angle, rotationMatrix) { + const boxSize = getBoxSize2(box2); + const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2]; + const coordsScaled = rawCoords.map((coord) => [ + scaleFactor[0] * (coord[0] - this.inputSize / 2), + scaleFactor[1] * (coord[1] - this.inputSize / 2), + scaleFactor[2] * coord[2] + ]); + const coordsRotationMatrix = buildRotationMatrix2(angle, [0, 0]); + const coordsRotated = coordsScaled.map((coord) => { + const rotated = rotatePoint2(coord, coordsRotationMatrix); + return [...rotated, coord[2]]; + }); + const inverseRotationMatrix = invertTransformMatrix2(rotationMatrix); + const boxCenter = [...getBoxCenter2(box2), 1]; + const originalBoxCenter = [ + dot2(boxCenter, inverseRotationMatrix[0]), + dot2(boxCenter, inverseRotationMatrix[1]) + ]; + return coordsRotated.map((coord) => [ + Math.trunc(coord[0] + originalBoxCenter[0]), + Math.trunc(coord[1] + originalBoxCenter[1]), + Math.trunc(coord[2]) + ]); + } + async estimateHands(image28, config3) { + let useFreshBox = false; + let boxes; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime13; + const skipFrame = this.skipped < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + boxes = await this.handDetector.predict(image28, config3); + this.skipped = 0; + } + if (config3.skipAllowed) + this.skipped++; + if (boxes && boxes.length > 0 && (boxes.length !== this.detectedHands && this.detectedHands !== config3.hand.maxDetected || !config3.hand.landmarks)) { + this.detectedHands = 0; + this.storedBoxes = [...boxes]; + if (this.storedBoxes.length > 0) + useFreshBox = true; + } + const hands = []; + for (let i = 0; i < this.storedBoxes.length; i++) { + const currentBox = this.storedBoxes[i]; + if (!currentBox) + continue; + if (config3.hand.landmarks) { + const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0; + const palmCenter = getBoxCenter2(currentBox); + const palmCenterNormalized = [palmCenter[0] / image28.shape[2], palmCenter[1] / image28.shape[1]]; + const rotatedImage = config3.hand.rotation && env.kernels.includes("rotatewithoffset") ? tf28.image.rotateWithOffset(image28, angle, 0, palmCenterNormalized) : image28.clone(); + const rotationMatrix = buildRotationMatrix2(-angle, palmCenter); + const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox; + const croppedInput = cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]); + const handImage = tf28.div(croppedInput, constants.tf255); + tf28.dispose(croppedInput); + tf28.dispose(rotatedImage); + const [confidenceT, keypoints] = this.handPoseModel.execute(handImage); + lastTime13 = now(); + tf28.dispose(handImage); + const confidence = (await confidenceT.data())[0]; + tf28.dispose(confidenceT); + if (confidence >= config3.hand.minConfidence / 4) { + const keypointsReshaped = tf28.reshape(keypoints, [-1, 3]); + const rawCoords = await keypointsReshaped.array(); + tf28.dispose(keypoints); + tf28.dispose(keypointsReshaped); + const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); + const nextBoundingBox = this.getBoxForHandLandmarks(coords); + this.storedBoxes[i] = { ...nextBoundingBox, confidence }; + const result = { + landmarks: coords, + confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: confidence, + box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint } + }; + hands.push(result); + } else { + this.storedBoxes[i] = null; + } + tf28.dispose(keypoints); + } else { + const enlarged = enlargeBox2(squarifyBox2(currentBox), handBoxEnlargeFactor); + const result = { + confidence: currentBox.confidence, + boxConfidence: currentBox.confidence, + fingerConfidence: 0, + box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint }, + landmarks: [] + }; + hands.push(result); + } + } + this.storedBoxes = this.storedBoxes.filter((a) => a !== null); + this.detectedHands = hands.length; + if (hands.length > config3.hand.maxDetected) + hands.length = config3.hand.maxDetected; + return hands; + } +}; + +// src/hand/handpose.ts +var meshAnnotations2 = { + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + palm: [0] +}; +var handDetectorModel; +var handPoseModel; +var handPipeline; +async function predict14(input, config3) { + const predictions = await handPipeline.estimateHands(input, config3); + if (!predictions) + return []; + const hands = []; + for (let i = 0; i < predictions.length; i++) { + const annotations2 = {}; + if (predictions[i].landmarks) { + for (const key of Object.keys(meshAnnotations2)) { + annotations2[key] = meshAnnotations2[key].map((index2) => predictions[i].landmarks[index2]); + } + } + const keypoints = predictions[i].landmarks; + let box = [Number.MAX_SAFE_INTEGER, Number.MAX_SAFE_INTEGER, 0, 0]; + let boxRaw = [0, 0, 0, 0]; + if (keypoints && keypoints.length > 0) { + for (const pt of keypoints) { + if (pt[0] < box[0]) + box[0] = pt[0]; + if (pt[1] < box[1]) + box[1] = pt[1]; + if (pt[0] > box[2]) + box[2] = pt[0]; + if (pt[1] > box[3]) + box[3] = pt[1]; + } + box[2] -= box[0]; + box[3] -= box[1]; + boxRaw = [box[0] / (input.shape[2] || 0), box[1] / (input.shape[1] || 0), box[2] / (input.shape[2] || 0), box[3] / (input.shape[1] || 0)]; + } else { + box = predictions[i].box ? [ + Math.trunc(Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.max(0, predictions[i].box.topLeft[1])), + Math.trunc(Math.min(input.shape[2] || 0, predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0])), + Math.trunc(Math.min(input.shape[1] || 0, predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])) + ] : [0, 0, 0, 0]; + boxRaw = [ + predictions[i].box.topLeft[0] / (input.shape[2] || 0), + predictions[i].box.topLeft[1] / (input.shape[1] || 0), + (predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / (input.shape[2] || 0), + (predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / (input.shape[1] || 0) + ]; + } + const landmarks = analyze(keypoints); + hands.push({ + id: i, + score: Math.round(100 * predictions[i].confidence) / 100, + boxScore: Math.round(100 * predictions[i].boxConfidence) / 100, + fingerScore: Math.round(100 * predictions[i].fingerConfidence) / 100, + label: "hand", + box, + boxRaw, + keypoints, + annotations: annotations2, + landmarks + }); + } + return hands; +} +async function load15(config3) { + var _a, _b; + if (env.initial) { + handDetectorModel = null; + handPoseModel = null; + } + if (!handDetectorModel || !handPoseModel) { + [handDetectorModel, handPoseModel] = await Promise.all([ + config3.hand.enabled ? loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) : null, + config3.hand.landmarks ? loadModel((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) : null + ]); + } else { + if (config3.debug) + log("cached model:", handDetectorModel["modelUrl"]); + if (config3.debug) + log("cached model:", handPoseModel["modelUrl"]); + } + const handDetector = handDetectorModel ? new HandDetector(handDetectorModel) : void 0; + if (handDetector && handPoseModel) + handPipeline = new HandPipeline(handDetector, handPoseModel); + return [handDetectorModel, handPoseModel]; +} + +// src/hand/handtrack.ts +var tf29 = __toESM(require_tfjs_esm()); +var models2 = [null, null]; +var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"]; +var inputSize7 = [[0, 0], [0, 0]]; +var classes = ["hand", "fist", "pinch", "point", "face", "tip", "pinchtip"]; +var faceIndex = 4; +var boxExpandFact = 1.6; +var maxDetectorResolution = 512; +var detectorExpandFact = 1.4; +var skipped13 = Number.MAX_SAFE_INTEGER; +var lastTime14 = 0; +var outputSize = [0, 0]; +var cache4 = { + boxes: [], + hands: [] +}; +var fingerMap = { + /* + thumb: [0, 1, 2, 3, 4], + index: [0, 5, 6, 7, 8], + middle: [0, 9, 10, 11, 12], + ring: [0, 13, 14, 15, 16], + pinky: [0, 17, 18, 19, 20], + palm: [0], + */ + thumb: [1, 2, 3, 4], + index: [5, 6, 7, 8], + middle: [9, 10, 11, 12], + ring: [13, 14, 15, 16], + pinky: [17, 18, 19, 20], + base: [0], + palm: [0, 17, 13, 9, 5, 1, 0] +}; +async function loadDetect2(config3) { + var _a; + if (env.initial) + models2[0] = null; + if (!models2[0]) { + fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3); + models2[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath); + const inputs = models2[0]["executor"] ? Object.values(models2[0].modelSignature["inputs"]) : void 0; + inputSize7[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[0]["modelUrl"]); + return models2[0]; +} +async function loadSkeleton(config3) { + var _a; + if (env.initial) + models2[1] = null; + if (!models2[1]) { + models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath); + const inputs = models2[1]["executor"] ? Object.values(models2[1].modelSignature["inputs"]) : void 0; + inputSize7[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; + inputSize7[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; + } else if (config3.debug) + log("cached model:", models2[1]["modelUrl"]); + return models2[1]; +} +async function detectHands(input, config3) { + const hands = []; + if (!input || !models2[0]) + return hands; + const t2 = {}; + const ratio2 = (input.shape[2] || 1) / (input.shape[1] || 1); + const height = Math.min(Math.round((input.shape[1] || 0) / 8) * 8, maxDetectorResolution); + const width = Math.round(height * ratio2 / 8) * 8; + t2.resize = tf29.image.resizeBilinear(input, [height, width]); + t2.cast = tf29.cast(t2.resize, "int32"); + [t2.rawScores, t2.rawBoxes] = await models2[0].executeAsync(t2.cast, modelOutputNodes); + t2.boxes = tf29.squeeze(t2.rawBoxes, [0, 2]); + t2.scores = tf29.squeeze(t2.rawScores, [0]); + const classScores = tf29.unstack(t2.scores, 1); + tf29.dispose(classScores[faceIndex]); + classScores.splice(faceIndex, 1); + t2.filtered = tf29.stack(classScores, 1); + tf29.dispose(classScores); + t2.max = tf29.max(t2.filtered, 1); + t2.argmax = tf29.argMax(t2.filtered, 1); + let id = 0; + t2.nms = await tf29.image.nonMaxSuppressionAsync(t2.boxes, t2.max, (config3.hand.maxDetected || 0) + 1, config3.hand.iouThreshold || 0, config3.hand.minConfidence || 1); + const nms = await t2.nms.data(); + const scores = await t2.max.data(); + const classNum = await t2.argmax.data(); + for (const nmsIndex of Array.from(nms)) { + const boxSlice = tf29.slice(t2.boxes, nmsIndex, 1); + const boxYX = await boxSlice.data(); + tf29.dispose(boxSlice); + const boxData = [boxYX[1], boxYX[0], boxYX[3] - boxYX[1], boxYX[2] - boxYX[0]]; + const boxRaw = scale(boxData, detectorExpandFact); + const boxFull = [Math.trunc(boxData[0] * outputSize[0]), Math.trunc(boxData[1] * outputSize[1]), Math.trunc(boxData[2] * outputSize[0]), Math.trunc(boxData[3] * outputSize[1])]; + const score = scores[nmsIndex]; + const label = classes[classNum[nmsIndex]]; + const hand3 = { id: id++, score, box: boxFull, boxRaw, label }; + hands.push(hand3); + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + hands.sort((a, b) => b.score - a.score); + if (hands.length > (config3.hand.maxDetected || 1)) + hands.length = config3.hand.maxDetected || 1; + return hands; +} +async function detectFingers(input, h, config3) { + const hand3 = { + // initial values inherited from hand detect + id: h.id, + score: Math.round(100 * h.score) / 100, + boxScore: Math.round(100 * h.score) / 100, + fingerScore: 0, + box: h.box, + boxRaw: h.boxRaw, + label: h.label, + keypoints: [], + landmarks: {}, + annotations: {} + }; + if (input && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) { + const t2 = {}; + const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]]; + t2.crop = tf29.image.cropAndResize(input, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear"); + t2.div = tf29.div(t2.crop, constants.tf255); + [t2.score, t2.keypoints] = models2[1].execute(t2.div, ["Identity_1", "Identity"]); + const rawScore = (await t2.score.data())[0]; + const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100; + if (score >= (config3.hand.minConfidence || 0)) { + hand3.fingerScore = score; + t2.reshaped = tf29.reshape(t2.keypoints, [-1, 3]); + const coordsData = await t2.reshaped.array(); + const coordsRaw = coordsData.map((kpt4) => [kpt4[0] / inputSize7[1][1], kpt4[1] / inputSize7[1][0], kpt4[2] || 0]); + const coordsNorm = coordsRaw.map((kpt4) => [kpt4[0] * h.boxRaw[2], kpt4[1] * h.boxRaw[3], kpt4[2] || 0]); + hand3.keypoints = coordsNorm.map((kpt4) => [outputSize[0] * (kpt4[0] + h.boxRaw[0]), outputSize[1] * (kpt4[1] + h.boxRaw[1]), kpt4[2] || 0]); + hand3.landmarks = analyze(hand3.keypoints); + for (const key of Object.keys(fingerMap)) { + hand3.annotations[key] = fingerMap[key].map((index2) => hand3.landmarks && hand3.keypoints[index2] ? hand3.keypoints[index2] : null); + } + } + Object.keys(t2).forEach((tensor6) => tf29.dispose(t2[tensor6])); + } + return hand3; +} +async function predict15(input, config3) { + var _a, _b; + if (!((_a = models2[0]) == null ? void 0 : _a["executor"]) || !((_b = models2[1]) == null ? void 0 : _b["executor"]) || !models2[0].inputs[0].shape || !models2[1].inputs[0].shape) + return []; + outputSize = [input.shape[2] || 0, input.shape[1] || 0]; + skipped13++; + const skipTime = (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrame = skipped13 < (config3.hand.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache4.hands; + } + return new Promise(async (resolve) => { + const skipTimeExtended = 3 * (config3.hand.skipTime || 0) > now() - lastTime14; + const skipFrameExtended = skipped13 < 3 * (config3.hand.skipFrames || 0); + if (config3.skipAllowed && cache4.hands.length === config3.hand.maxDetected) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else if (config3.skipAllowed && skipTimeExtended && skipFrameExtended && cache4.hands.length > 0) { + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + } else { + cache4.boxes = await detectHands(input, config3); + lastTime14 = now(); + cache4.hands = await Promise.all(cache4.boxes.map((handBox) => detectFingers(input, handBox, config3))); + skipped13 = 0; + } + const oldCache = [...cache4.boxes]; + cache4.boxes.length = 0; + if (config3.cacheSensitivity > 0) { + for (let i = 0; i < cache4.hands.length; i++) { + const boxKpt = square(cache4.hands[i].keypoints, outputSize); + if (boxKpt.box[2] / (input.shape[2] || 1) > 0.05 && boxKpt.box[3] / (input.shape[1] || 1) > 0.05 && cache4.hands[i].fingerScore && cache4.hands[i].fingerScore > (config3.hand.minConfidence || 0)) { + const boxScale = scale(boxKpt.box, boxExpandFact); + const boxScaleRaw = scale(boxKpt.boxRaw, boxExpandFact); + cache4.boxes.push({ ...oldCache[i], box: boxScale, boxRaw: boxScaleRaw }); + } + } + } + for (let i = 0; i < cache4.hands.length; i++) { + const bbox = calc(cache4.hands[i].keypoints, outputSize); + cache4.hands[i].box = bbox.box; + cache4.hands[i].boxRaw = bbox.boxRaw; + } + resolve(cache4.hands); + }); +} + +// src/result.ts +var empty = (error = null) => ({ face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0, width: 0, height: 0, error }); + +// src/body/movenetcoords.ts +var movenetcoords_exports = {}; +__export(movenetcoords_exports, { + connected: () => connected3, + horizontal: () => horizontal, + kpt: () => kpt3, + relative: () => relative, + vertical: () => vertical +}); +var kpt3 = [ + // used to create part labels + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var horizontal = [ + // used to fix left vs right + ["leftEye", "rightEye"], + ["leftEar", "rightEar"], + ["leftShoulder", "rightShoulder"], + ["leftElbow", "rightElbow"], + ["leftWrist", "rightWrist"], + ["leftHip", "rightHip"], + ["leftKnee", "rightKnee"], + ["leftAnkle", "rightAnkle"] +]; +var vertical = [ + // used to remove unlikely keypoint positions + ["leftKnee", "leftShoulder"], + ["rightKnee", "rightShoulder"], + ["leftAnkle", "leftKnee"], + ["rightAnkle", "rightKnee"] +]; +var relative = [ + // used to match relative body parts + [["leftHip", "rightHip"], ["leftShoulder", "rightShoulder"]], + [["leftElbow", "rightElbow"], ["leftShoulder", "rightShoulder"]] +]; +var connected3 = { + // used to create body outline in annotations + leftLeg: ["leftHip", "leftKnee", "leftAnkle"], + rightLeg: ["rightHip", "rightKnee", "rightAnkle"], + torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"], + leftArm: ["leftShoulder", "leftElbow", "leftWrist"], + rightArm: ["rightShoulder", "rightElbow", "rightWrist"], + head: [] +}; + +// src/util/interpolate.ts +var bufferedResult = empty(); +var interpolateTime = 0; +function calc2(newResult, config3) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z; + const t0 = now(); + if (!newResult) + return empty(); + const elapsed = Date.now() - newResult.timestamp; + const bufferedFactor = elapsed < 1e3 ? 8 - Math.log(elapsed + 1) : 1; + if (newResult.canvas) + bufferedResult.canvas = newResult.canvas; + if (newResult.error) + bufferedResult.error = newResult.error; + if (!bufferedResult.body || newResult.body.length !== bufferedResult.body.length) { + bufferedResult.body = JSON.parse(JSON.stringify(newResult.body)); + } else { + for (let i = 0; i < newResult.body.length; i++) { + const box = newResult.body[i].box.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + newBoxCoord) / bufferedFactor); + const boxRaw = newResult.body[i].boxRaw.map((newBoxCoord, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + newBoxCoord) / bufferedFactor); + const keypoints = newResult.body[i].keypoints.map((newKpt, j) => { + var _a2, _b2, _c2, _d2, _e2, _f2, _g2, _h2, _i2; + return { + score: newKpt.score, + part: newKpt.part, + position: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[0] || 0) + (newKpt.position[0] || 0)) / bufferedFactor : newKpt.position[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[1] || 0) + (newKpt.position[1] || 0)) / bufferedFactor : newKpt.position[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].position[2] || 0) + (newKpt.position[2] || 0)) / bufferedFactor : newKpt.position[2] + ], + positionRaw: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[0] || 0) + (newKpt.positionRaw[0] || 0)) / bufferedFactor : newKpt.positionRaw[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[1] || 0) + (newKpt.positionRaw[1] || 0)) / bufferedFactor : newKpt.positionRaw[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (bufferedResult.body[i].keypoints[j].positionRaw[2] || 0) + (newKpt.positionRaw[2] || 0)) / bufferedFactor : newKpt.positionRaw[2] + ], + distance: [ + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_a2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _a2[0]) || 0) + (((_b2 = newKpt.distance) == null ? void 0 : _b2[0]) || 0)) / bufferedFactor : (_c2 = newKpt.distance) == null ? void 0 : _c2[0], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_d2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _d2[1]) || 0) + (((_e2 = newKpt.distance) == null ? void 0 : _e2[1]) || 0)) / bufferedFactor : (_f2 = newKpt.distance) == null ? void 0 : _f2[1], + bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * (((_g2 = bufferedResult.body[i].keypoints[j].distance) == null ? void 0 : _g2[2]) || 0) + (((_h2 = newKpt.distance) == null ? void 0 : _h2[2]) || 0)) / bufferedFactor : (_i2 = newKpt.distance) == null ? void 0 : _i2[2] + ] + }; + }); + const annotations2 = {}; + let coords = { connected: {} }; + if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("efficientpose")) + coords = efficientposecoords_exports; + else if ((_b = config3.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + coords = blazeposecoords_exports; + else if ((_c = config3.body.modelPath) == null ? void 0 : _c.includes("movenet")) + coords = movenetcoords_exports; + for (const [name, indexes] of Object.entries(coords.connected)) { + const pt = []; + for (let j = 0; j < indexes.length - 1; j++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[j]); + const pt1 = keypoints.find((kp) => kp.part === indexes[j + 1]); + if (pt0 && pt1) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.hand || newResult.hand.length !== bufferedResult.hand.length) { + bufferedResult.hand = JSON.parse(JSON.stringify(newResult.hand)); + } else { + for (let i = 0; i < newResult.hand.length; i++) { + const box = newResult.hand[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.hand[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.hand[i].boxRaw[j] + b) / bufferedFactor); + if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) + bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; + const keypoints = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; + let annotations2 = {}; + if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) { + bufferedResult.hand[i].annotations = newResult.hand[i].annotations; + annotations2 = bufferedResult.hand[i].annotations; + } else if (newResult.hand[i].annotations) { + for (const key of Object.keys(newResult.hand[i].annotations)) { + annotations2[key] = ((_f = (_e = (_d = newResult.hand[i]) == null ? void 0 : _d.annotations) == null ? void 0 : _e[key]) == null ? void 0 : _f[0]) ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + bufferedResult.hand[i] = { ...newResult.hand[i], box, boxRaw, keypoints, annotations: annotations2 }; + } + } + if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { + bufferedResult.face = JSON.parse(JSON.stringify(newResult.face)); + } else { + for (let i = 0; i < newResult.face.length; i++) { + const box = newResult.face[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.face[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.face[i].boxRaw[j] + b) / bufferedFactor); + let annotations2 = newResult.face[i].annotations; + if (Object.keys(bufferedResult.face[i].annotations).length !== Object.keys(newResult.face[i].annotations).length) { + bufferedResult.face[i].annotations = newResult.face[i].annotations; + annotations2 = bufferedResult.face[i].annotations; + } else if (newResult.face[i].annotations) { + for (const key of Object.keys(newResult.face[i].annotations)) { + annotations2[key] = ((_i = (_h = (_g = newResult.face[i]) == null ? void 0 : _g.annotations) == null ? void 0 : _h[key]) == null ? void 0 : _i[0]) ? newResult.face[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.face[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; + } + } + if (newResult.face[i].rotation) { + const rotation = { matrix: [0, 0, 0, 0, 0, 0, 0, 0, 0], angle: { roll: 0, yaw: 0, pitch: 0 }, gaze: { bearing: 0, strength: 0 } }; + rotation.matrix = (_j = newResult.face[i].rotation) == null ? void 0 : _j.matrix; + rotation.angle = { + roll: ((bufferedFactor - 1) * (((_l = (_k = bufferedResult.face[i].rotation) == null ? void 0 : _k.angle) == null ? void 0 : _l.roll) || 0) + (((_n = (_m = newResult.face[i].rotation) == null ? void 0 : _m.angle) == null ? void 0 : _n.roll) || 0)) / bufferedFactor, + yaw: ((bufferedFactor - 1) * (((_p = (_o = bufferedResult.face[i].rotation) == null ? void 0 : _o.angle) == null ? void 0 : _p.yaw) || 0) + (((_r = (_q = newResult.face[i].rotation) == null ? void 0 : _q.angle) == null ? void 0 : _r.yaw) || 0)) / bufferedFactor, + pitch: ((bufferedFactor - 1) * (((_t = (_s = bufferedResult.face[i].rotation) == null ? void 0 : _s.angle) == null ? void 0 : _t.pitch) || 0) + (((_v = (_u = newResult.face[i].rotation) == null ? void 0 : _u.angle) == null ? void 0 : _v.pitch) || 0)) / bufferedFactor + }; + rotation.gaze = { + // not fully correct due projection on circle, also causes wrap-around draw on jump from negative to positive + bearing: ((bufferedFactor - 1) * (((_w = bufferedResult.face[i].rotation) == null ? void 0 : _w.gaze.bearing) || 0) + (((_x = newResult.face[i].rotation) == null ? void 0 : _x.gaze.bearing) || 0)) / bufferedFactor, + strength: ((bufferedFactor - 1) * (((_y = bufferedResult.face[i].rotation) == null ? void 0 : _y.gaze.strength) || 0) + (((_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze.strength) || 0)) / bufferedFactor + }; + bufferedResult.face[i] = { ...newResult.face[i], rotation, box, boxRaw, annotations: annotations2 }; + } else { + bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw, annotations: annotations2 }; + } + } + } + if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) { + bufferedResult.object = JSON.parse(JSON.stringify(newResult.object)); + } else { + for (let i = 0; i < newResult.object.length; i++) { + const box = newResult.object[i].box.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].box[j] + b) / bufferedFactor); + const boxRaw = newResult.object[i].boxRaw.map((b, j) => ((bufferedFactor - 1) * bufferedResult.object[i].boxRaw[j] + b) / bufferedFactor); + bufferedResult.object[i] = { ...newResult.object[i], box, boxRaw }; + } + } + if (newResult.persons) { + const newPersons = newResult.persons; + if (!bufferedResult.persons || newPersons.length !== bufferedResult.persons.length) { + bufferedResult.persons = JSON.parse(JSON.stringify(newPersons)); + } else { + for (let i = 0; i < newPersons.length; i++) { + bufferedResult.persons[i].box = newPersons[i].box.map((box, j) => ((bufferedFactor - 1) * bufferedResult.persons[i].box[j] + box) / bufferedFactor); + } + } + } + if (newResult.gesture) + bufferedResult.gesture = newResult.gesture; + bufferedResult.width = newResult.width; + bufferedResult.height = newResult.height; + const t1 = now(); + interpolateTime = env.perfadd ? interpolateTime + Math.round(t1 - t0) : Math.round(t1 - t0); + if (newResult.performance) + bufferedResult.performance = { ...newResult.performance, interpolate: interpolateTime }; + return bufferedResult; +} + +// src/segmentation/meet.ts +var tf30 = __toESM(require_tfjs_esm()); +var model17; +async function load16(config3) { + if (!model17 || env.initial) + model17 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model17["modelUrl"]); + return model17; +} +async function predict16(input, config3) { + var _a; + if (!model17) + model17 = await load16(config3); + if (!(model17 == null ? void 0 : model17["executor"]) || !((_a = model17 == null ? void 0 : model17.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf30.image.resizeBilinear(input, [model17.inputs[0].shape ? model17.inputs[0].shape[1] : 0, model17.inputs[0].shape ? model17.inputs[0].shape[2] : 0], false); + t2.norm = tf30.div(t2.resize, constants.tf255); + t2.res = model17.execute(t2.norm); + t2.squeeze = tf30.squeeze(t2.res, [0]); + [t2.bgRaw, t2.fgRaw] = tf30.unstack(t2.squeeze, 2); + t2.fg = tf30.softmax(t2.fgRaw); + t2.mul = tf30.mul(t2.fg, constants.tf255); + t2.expand = tf30.expandDims(t2.mul, 2); + t2.output = tf30.image.resizeBilinear(t2.expand, [input.shape[1] || 0, input.shape[2] || 0]); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf30.squeeze(input); + t2.concat = tf30.concat([t2.input, t2.output], -1); + rgba = tf30.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf30.cast(t2.output, "int32"); + break; + default: + rgba = tf30.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf30.dispose(t2[tensor6])); + return rgba; +} + +// src/face/match.ts +var match_exports = {}; +__export(match_exports, { + distance: () => distance, + find: () => find, + similarity: () => similarity +}); +function distance(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25 }) { + if (!descriptor1 || !descriptor1) + return Number.MAX_SAFE_INTEGER; + let sum3 = 0; + for (let i = 0; i < descriptor1.length; i++) { + const diff = !options4.order || options4.order === 2 ? descriptor1[i] - descriptor2[i] : Math.abs(descriptor1[i] - descriptor2[i]); + sum3 += !options4.order || options4.order === 2 ? diff * diff : diff ** options4.order; + } + return (options4.multiplier || 20) * sum3; +} +var normalizeDistance = (dist, order, min2, max5) => { + if (dist === 0) + return 1; + const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); + const norm = (1 - root / 100 - min2) / (max5 - min2); + const clamp2 = Math.max(Math.min(norm, 1), 0); + return clamp2; +}; +function similarity(descriptor1, descriptor2, options4 = { order: 2, multiplier: 25, min: 0.2, max: 0.8 }) { + const dist = distance(descriptor1, descriptor2, options4); + return normalizeDistance(dist, options4.order || 2, options4.min || 0, options4.max || 1); +} +function find(descriptor, descriptors, options4 = { order: 2, multiplier: 25, threshold: 0, min: 0.2, max: 0.8 }) { + if (!Array.isArray(descriptor) || !Array.isArray(descriptors) || descriptor.length < 64 || descriptors.length === 0) { + return { index: -1, distance: Number.POSITIVE_INFINITY, similarity: 0 }; + } + let lowestDistance = Number.MAX_SAFE_INTEGER; + let index2 = -1; + for (let i = 0; i < descriptors.length; i++) { + const res = descriptors[i].length === descriptor.length ? distance(descriptor, descriptors[i], options4) : Number.MAX_SAFE_INTEGER; + if (res < lowestDistance) { + lowestDistance = res; + index2 = i; + } + if (lowestDistance < (options4.threshold || 0)) + break; + } + const normalizedSimilarity = normalizeDistance(lowestDistance, options4.order || 2, options4.min || 0, options4.max || 1); + return { index: index2, distance: lowestDistance, similarity: normalizedSimilarity }; +} + +// src/models.ts +var models_exports2 = {}; +__export(models_exports2, { + Models: () => Models, + validateModel: () => validateModel +}); + +// src/body/movenet.ts +var tf32 = __toESM(require_tfjs_esm()); + +// src/body/movenetfix.ts +var tf31 = __toESM(require_tfjs_esm()); +var maxJitter = 5e-3; +var cache5 = { + keypoints: [], + padding: [[0, 0], [0, 0], [0, 0], [0, 0]] +}; +function bodyParts(body4) { + for (const pair of horizontal) { + const left = body4.keypoints.findIndex((kp) => kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp.part === pair[1]); + if (body4.keypoints[left] && body4.keypoints[right]) { + if (body4.keypoints[left].position[0] < body4.keypoints[right].position[0]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } + } + for (const pair of vertical) { + const lower = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const higher = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + if (body4.keypoints[lower] && body4.keypoints[higher]) { + if (body4.keypoints[lower].position[1] < body4.keypoints[higher].position[1]) { + body4.keypoints.splice(lower, 1); + } + } + } + for (const [pair, compare2] of relative) { + const left = body4.keypoints.findIndex((kp) => kp && kp.part === pair[0]); + const right = body4.keypoints.findIndex((kp) => kp && kp.part === pair[1]); + const leftTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[0]); + const rightTo = body4.keypoints.findIndex((kp) => kp && kp.part === compare2[1]); + if (!body4.keypoints[leftTo] || !body4.keypoints[rightTo]) + continue; + const distanceLeft = body4.keypoints[left] ? [ + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[left].position[0]), + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[left].position[0]) + ] : [0, 0]; + const distanceRight = body4.keypoints[right] ? [ + Math.abs(body4.keypoints[rightTo].position[0] - body4.keypoints[right].position[0]), + Math.abs(body4.keypoints[leftTo].position[0] - body4.keypoints[right].position[0]) + ] : [0, 0]; + if (distanceLeft[0] > distanceLeft[1] || distanceRight[0] > distanceRight[1]) { + const tmp = body4.keypoints[left]; + body4.keypoints[left] = body4.keypoints[right]; + body4.keypoints[right] = tmp; + } + } +} +function jitter(keypoints) { + for (let i = 0; i < keypoints.length; i++) { + if (keypoints[i] && cache5.keypoints[i]) { + const diff = [Math.abs(keypoints[i].positionRaw[0] - cache5.keypoints[i].positionRaw[0]), Math.abs(keypoints[i].positionRaw[1] - cache5.keypoints[i].positionRaw[1])]; + if (diff[0] < maxJitter && diff[1] < maxJitter) { + keypoints[i] = cache5.keypoints[i]; + } else { + cache5.keypoints[i] = keypoints[i]; + } + } else { + cache5.keypoints[i] = keypoints[i]; + } + } + return keypoints; +} +function padInput(input, inputSize10) { + var _a, _b; + const t2 = {}; + if (!((_a = input == null ? void 0 : input.shape) == null ? void 0 : _a[1]) || !((_b = input == null ? void 0 : input.shape) == null ? void 0 : _b[2])) + return input; + cache5.padding = [ + [0, 0], + // dont touch batch + [input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], + // height before&after + [input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], + // width before&after + [0, 0] + // dont touch rbg + ]; + t2.pad = tf31.pad(input, cache5.padding); + t2.resize = tf31.image.resizeBilinear(t2.pad, [inputSize10, inputSize10]); + const final = tf31.cast(t2.resize, "int32"); + Object.keys(t2).forEach((tensor6) => tf31.dispose(t2[tensor6])); + return final; +} +function rescaleBody(body4, outputSize2) { + body4.keypoints = body4.keypoints.filter((kpt4) => kpt4 == null ? void 0 : kpt4.position); + for (const kpt4 of body4.keypoints) { + kpt4.position = [ + kpt4.position[0] * (outputSize2[0] + cache5.padding[2][0] + cache5.padding[2][1]) / outputSize2[0] - cache5.padding[2][0], + kpt4.position[1] * (outputSize2[1] + cache5.padding[1][0] + cache5.padding[1][1]) / outputSize2[1] - cache5.padding[1][0] + ]; + kpt4.positionRaw = [ + kpt4.position[0] / outputSize2[0], + kpt4.position[1] / outputSize2[1] + ]; + } + const rescaledBoxes = calc(body4.keypoints.map((pt) => pt.position), outputSize2); + body4.box = rescaledBoxes.box; + body4.boxRaw = rescaledBoxes.boxRaw; + return body4; +} + +// src/body/movenet.ts +var model18; +var inputSize8 = 0; +var skipped14 = Number.MAX_SAFE_INTEGER; +var cache6 = { + boxes: [], + bodies: [], + last: 0 +}; +async function load17(config3) { + var _a; + if (env.initial) + model18 = null; + if (!model18) { + fakeOps(["size"], config3); + model18 = await loadModel(config3.body.modelPath); + } else if (config3.debug) + log("cached model:", model18["modelUrl"]); + inputSize8 = (model18 == null ? void 0 : model18["executor"]) && ((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape) ? model18.inputs[0].shape[2] : 0; + if (inputSize8 < 64) + inputSize8 = 256; + if (tf32.env().flagRegistry.WEBGL_USE_SHAPES_UNIFORMS) + tf32.env().set("WEBGL_USE_SHAPES_UNIFORMS", false); + return model18; +} +function parseSinglePose(res, config3, image28) { + const kpt4 = res[0][0]; + const keypoints = []; + let score = 0; + for (let id = 0; id < kpt4.length; id++) { + score = kpt4[id][2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[id][1], kpt4[id][0]]; + keypoints.push({ + score: Math.round(100 * score) / 100, + part: kpt3[id], + positionRaw, + position: [ + // normalized to input image size + Math.round((image28.shape[2] || 0) * positionRaw[0]), + Math.round((image28.shape[1] || 0) * positionRaw[1]) + ] + }); + } + } + score = keypoints.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); + const bodies = []; + const newBox = calc(keypoints.map((pt) => pt.position), [image28.shape[2], image28.shape[1]]); + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id: 0, score, box: newBox.box, boxRaw: newBox.boxRaw, keypoints, annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + return bodies; +} +function parseMultiPose(res, config3, image28) { + const bodies = []; + for (let id = 0; id < res[0].length; id++) { + const kpt4 = res[0][id]; + const boxScore = Math.round(100 * kpt4[51 + 4]) / 100; + if (boxScore > config3.body.minConfidence) { + const keypoints = []; + for (let i = 0; i < 17; i++) { + const score = kpt4[3 * i + 2]; + if (score > config3.body.minConfidence) { + const positionRaw = [kpt4[3 * i + 1], kpt4[3 * i + 0]]; + keypoints.push({ + part: kpt3[i], + score: Math.round(100 * score) / 100, + positionRaw, + position: [Math.round((image28.shape[2] || 0) * positionRaw[0]), Math.round((image28.shape[1] || 0) * positionRaw[1])] + }); + } + } + const boxRaw = [kpt4[51 + 1], kpt4[51 + 0], kpt4[51 + 3] - kpt4[51 + 1], kpt4[51 + 2] - kpt4[51 + 0]]; + const boxNorm = [Math.trunc(boxRaw[0] * (image28.shape[2] || 0)), Math.trunc(boxRaw[1] * (image28.shape[1] || 0)), Math.trunc(boxRaw[2] * (image28.shape[2] || 0)), Math.trunc(boxRaw[3] * (image28.shape[1] || 0))]; + const annotations2 = {}; + for (const [name, indexes] of Object.entries(connected3)) { + const pt = []; + for (let i = 0; i < indexes.length - 1; i++) { + const pt0 = keypoints.find((kp) => kp.part === indexes[i]); + const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]); + if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0)) + pt.push([pt0.position, pt1.position]); + } + annotations2[name] = pt; + } + const body4 = { id, score: boxScore, box: boxNorm, boxRaw, keypoints: [...keypoints], annotations: annotations2 }; + bodyParts(body4); + bodies.push(body4); + } + } + bodies.sort((a, b) => b.score - a.score); + if (bodies.length > config3.body.maxDetected) + bodies.length = config3.body.maxDetected; + return bodies; +} +async function predict17(input, config3) { + var _a; + if (!(model18 == null ? void 0 : model18["executor"]) || !((_a = model18 == null ? void 0 : model18.inputs) == null ? void 0 : _a[0].shape)) + return []; + if (!config3.skipAllowed) + cache6.boxes.length = 0; + skipped14++; + const skipTime = (config3.body.skipTime || 0) > now() - cache6.last; + const skipFrame = skipped14 < (config3.body.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame) { + return cache6.bodies; + } + return new Promise(async (resolve) => { + const t2 = {}; + skipped14 = 0; + t2.input = padInput(input, inputSize8); + t2.res = model18 == null ? void 0 : model18.execute(t2.input); + cache6.last = now(); + const res = await t2.res.array(); + cache6.bodies = t2.res.shape[2] === 17 ? parseSinglePose(res, config3, input) : parseMultiPose(res, config3, input); + for (const body4 of cache6.bodies) { + rescaleBody(body4, [input.shape[2] || 1, input.shape[1] || 1]); + jitter(body4.keypoints); + } + Object.keys(t2).forEach((tensor6) => tf32.dispose(t2[tensor6])); + resolve(cache6.bodies); + }); +} + +// src/object/nanodet.ts +var tf33 = __toESM(require_tfjs_esm()); +var model19; +var last10 = []; +var lastTime15 = 0; +var skipped15 = Number.MAX_SAFE_INTEGER; +var inputSize9 = 0; +var scaleBox = 2.5; +async function load18(config3) { + if (!model19 || env.initial) { + model19 = await loadModel(config3.object.modelPath); + const inputs = (model19 == null ? void 0 : model19["executor"]) ? Object.values(model19.modelSignature["inputs"]) : void 0; + inputSize9 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 416; + } else if (config3.debug) + log("cached model:", model19["modelUrl"]); + return model19; +} +async function process4(res, outputShape, config3) { + var _a, _b; + let id = 0; + let results = []; + const size2 = inputSize9; + for (const strideSize of [1, 2, 4]) { + const baseSize = strideSize * 13; + const scoresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) === labels2.length)); + const scores = await scoresT.array(); + const featuresT = tf33.squeeze(res.find((a) => a.shape[1] === baseSize ** 2 && (a.shape[2] || 0) < labels2.length)); + const boxesMaxT = tf33.reshape(featuresT, [-1, 4, (((_a = featuresT.shape) == null ? void 0 : _a[1]) || 0) / 4]); + const boxIdxT = tf33.argMax(boxesMaxT, 2); + const boxIdx = await boxIdxT.array(); + for (let i = 0; i < scoresT.shape[0]; i++) { + for (let j = 0; j < (((_b = scoresT.shape) == null ? void 0 : _b[1]) || 0); j++) { + const score = scores[i][j]; + if (score > (config3.object.minConfidence || 0) && j !== 61) { + const cx = (0.5 + Math.trunc(i % baseSize)) / baseSize; + const cy = (0.5 + Math.trunc(i / baseSize)) / baseSize; + const boxOffset = boxIdx[i].map((a) => a * (baseSize / strideSize / size2)); + const [x, y] = [ + cx - scaleBox / strideSize * boxOffset[0], + cy - scaleBox / strideSize * boxOffset[1] + ]; + const [w, h] = [ + cx + scaleBox / strideSize * boxOffset[2] - x, + cy + scaleBox / strideSize * boxOffset[3] - y + ]; + let boxRaw = [x, y, w, h]; + boxRaw = boxRaw.map((a) => Math.max(0, Math.min(a, 1))); + const box = [ + // results normalized to input image pixels + boxRaw[0] * outputShape[0], + boxRaw[1] * outputShape[1], + boxRaw[2] * outputShape[0], + boxRaw[3] * outputShape[1] + ]; + const result = { + id: id++, + // strideSize, + score: Math.round(100 * score) / 100, + class: j + 1, + label: labels2[j].label, + // center: [Math.trunc(outputShape[0] * cx), Math.trunc(outputShape[1] * cy)], + // centerRaw: [cx, cy], + box: box.map((a) => Math.trunc(a)), + boxRaw + }; + results.push(result); + } + } + } + tf33.dispose([scoresT, featuresT, boxesMaxT, boxIdxT]); + } + const nmsBoxes = results.map((a) => [a.boxRaw[1], a.boxRaw[0], a.boxRaw[3], a.boxRaw[2]]); + const nmsScores = results.map((a) => a.score); + let nmsIdx = []; + if (nmsBoxes && nmsBoxes.length > 0) { + const nms = await tf33.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config3.object.maxDetected || 0, config3.object.iouThreshold, config3.object.minConfidence); + nmsIdx = Array.from(await nms.data()); + tf33.dispose(nms); + } + results = results.filter((_val, idx) => nmsIdx.includes(idx)).sort((a, b) => b.score - a.score); + return results; +} +async function predict18(image28, config3) { + if (!(model19 == null ? void 0 : model19["executor"])) + return []; + const skipTime = (config3.object.skipTime || 0) > now() - lastTime15; + const skipFrame = skipped15 < (config3.object.skipFrames || 0); + if (config3.skipAllowed && skipTime && skipFrame && last10.length > 0) { + skipped15++; + return last10; + } + skipped15 = 0; + if (!env.kernels.includes("mod") || !env.kernels.includes("sparsetodense")) + return last10; + return new Promise(async (resolve) => { + const outputSize2 = [image28.shape[2] || 0, image28.shape[1] || 0]; + const resizeT = tf33.image.resizeBilinear(image28, [inputSize9, inputSize9], false); + const normT = tf33.div(resizeT, constants.tf255); + const transposeT = tf33.transpose(normT, [0, 3, 1, 2]); + let objectT; + if (config3.object.enabled) + objectT = model19.execute(transposeT); + lastTime15 = now(); + const obj = await process4(objectT, outputSize2, config3); + last10 = obj; + tf33.dispose([resizeT, normT, transposeT, ...objectT]); + resolve(obj); + }); +} + +// src/body/posenet.ts +var tf34 = __toESM(require_tfjs_esm()); + +// src/body/posenetutils.ts +var partNames = [ + "nose", + "leftEye", + "rightEye", + "leftEar", + "rightEar", + "leftShoulder", + "rightShoulder", + "leftElbow", + "rightElbow", + "leftWrist", + "rightWrist", + "leftHip", + "rightHip", + "leftKnee", + "rightKnee", + "leftAnkle", + "rightAnkle" +]; +var count = partNames.length; +var partIds = partNames.reduce((result, jointName, i) => { + result[jointName] = i; + return result; +}, {}); +var connectedPartNames = [ + ["leftHip", "leftShoulder"], + ["leftElbow", "leftShoulder"], + ["leftElbow", "leftWrist"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["rightHip", "rightShoulder"], + ["rightElbow", "rightShoulder"], + ["rightElbow", "rightWrist"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"], + ["leftShoulder", "rightShoulder"], + ["leftHip", "rightHip"] +]; +var connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => [partIds[jointNameA], partIds[jointNameB]]); +var poseChain = [ + ["nose", "leftEye"], + ["leftEye", "leftEar"], + ["nose", "rightEye"], + ["rightEye", "rightEar"], + ["nose", "leftShoulder"], + ["leftShoulder", "leftElbow"], + ["leftElbow", "leftWrist"], + ["leftShoulder", "leftHip"], + ["leftHip", "leftKnee"], + ["leftKnee", "leftAnkle"], + ["nose", "rightShoulder"], + ["rightShoulder", "rightElbow"], + ["rightElbow", "rightWrist"], + ["rightShoulder", "rightHip"], + ["rightHip", "rightKnee"], + ["rightKnee", "rightAnkle"] +]; +function getBoundingBox(keypoints) { + const coord = keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({ + maxX: Math.max(maxX, x), + maxY: Math.max(maxY, y), + minX: Math.min(minX, x), + minY: Math.min(minY, y) + }), { + maxX: Number.NEGATIVE_INFINITY, + maxY: Number.NEGATIVE_INFINITY, + minX: Number.POSITIVE_INFINITY, + minY: Number.POSITIVE_INFINITY + }); + return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY]; +} +function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) { + const scaleY = height / inputResolutionHeight; + const scaleX = width / inputResolutionWidth; + const scalePose = (pose, i) => ({ + id: i, + score: pose.score, + boxRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight], + box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)], + keypoints: pose.keypoints.map(({ score, part, position }) => ({ + score, + part, + position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)], + positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight] + })), + annotations: {} + }); + const scaledPoses = poses.map((pose, i) => scalePose(pose, i)); + return scaledPoses; +} +var MaxHeap = class { + // function call + constructor(maxSize2, getElementValue) { + __publicField(this, "priorityQueue"); + // don't touch + __publicField(this, "numberOfElements"); + __publicField(this, "getElementValue"); + this.priorityQueue = new Array(maxSize2); + this.numberOfElements = -1; + this.getElementValue = getElementValue; + } + enqueue(x) { + this.priorityQueue[++this.numberOfElements] = x; + this.swim(this.numberOfElements); + } + dequeue() { + const max5 = this.priorityQueue[0]; + this.exchange(0, this.numberOfElements--); + this.sink(0); + this.priorityQueue[this.numberOfElements + 1] = null; + return max5; + } + empty() { + return this.numberOfElements === -1; + } + size() { + return this.numberOfElements + 1; + } + all() { + return this.priorityQueue.slice(0, this.numberOfElements + 1); + } + max() { + return this.priorityQueue[0]; + } + swim(k) { + while (k > 0 && this.less(Math.floor(k / 2), k)) { + this.exchange(k, Math.floor(k / 2)); + k = Math.floor(k / 2); + } + } + sink(k) { + while (2 * k <= this.numberOfElements) { + let j = 2 * k; + if (j < this.numberOfElements && this.less(j, j + 1)) + j++; + if (!this.less(k, j)) + break; + this.exchange(k, j); + k = j; + } + } + getValueAt(i) { + return this.getElementValue(this.priorityQueue[i]); + } + less(i, j) { + return this.getValueAt(i) < this.getValueAt(j); + } + exchange(i, j) { + const t2 = this.priorityQueue[i]; + this.priorityQueue[i] = this.priorityQueue[j]; + this.priorityQueue[j] = t2; + } +}; +function getOffsetPoint(y, x, keypoint, offsets) { + return { + y: offsets.get(y, x, keypoint), + x: offsets.get(y, x, keypoint + count) + }; +} +function getImageCoords(part, outputStride2, offsets) { + const { heatmapY, heatmapX, id: keypoint } = part; + const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets); + return { + x: part.heatmapX * outputStride2 + x, + y: part.heatmapY * outputStride2 + y + }; +} +function clamp(a, min2, max5) { + if (a < min2) + return min2; + if (a > max5) + return max5; + return a; +} +function squaredDistance(y1, x1, y2, x2) { + const dy = y2 - y1; + const dx = x2 - x1; + return dy * dy + dx * dx; +} +function addVectors(a, b) { + return { x: a.x + b.x, y: a.y + b.y }; +} + +// src/body/posenet.ts +var model20; +var poseNetOutputs = [ + "MobilenetV1/offset_2/BiasAdd", + "MobilenetV1/heatmap_2/BiasAdd", + "MobilenetV1/displacement_fwd_2/BiasAdd", + "MobilenetV1/displacement_bwd_2/BiasAdd" + /* displacementBwd */ +]; +var localMaximumRadius = 1; +var outputStride = 16; +var squaredNmsRadius = 50 ** 2; +function traverse(edgeId, sourceKeypoint, targetId, scores, offsets, displacements, offsetRefineStep = 2) { + const getDisplacement = (point2) => ({ + y: displacements.get(point2.y, point2.x, edgeId), + x: displacements.get(point2.y, point2.x, displacements.shape[2] / 2 + edgeId) + }); + const getStridedIndexNearPoint = (point2, height2, width2) => ({ + y: clamp(Math.round(point2.y / outputStride), 0, height2 - 1), + x: clamp(Math.round(point2.x / outputStride), 0, width2 - 1) + }); + const [height, width] = scores.shape; + const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, height, width); + const displacement = getDisplacement(sourceKeypointIndices); + const displacedPoint = addVectors(sourceKeypoint.position, displacement); + let targetKeypoint = displacedPoint; + for (let i = 0; i < offsetRefineStep; i++) { + const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const offsetPoint = getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetId, offsets); + targetKeypoint = addVectors( + { x: targetKeypointIndices.x * outputStride, y: targetKeypointIndices.y * outputStride }, + { x: offsetPoint.x, y: offsetPoint.y } + ); + } + const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, height, width); + const score = scores.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetId); + return { position: targetKeypoint, part: partNames[targetId], score }; +} +function decodePose(root, scores, offsets, displacementsFwd, displacementsBwd) { + const tuples = poseChain.map(([parentJoinName, childJoinName]) => [partIds[parentJoinName], partIds[childJoinName]]); + const edgesFwd = tuples.map(([, childJointId]) => childJointId); + const edgesBwd = tuples.map(([parentJointId]) => parentJointId); + const numParts = scores.shape[2]; + const numEdges = edgesFwd.length; + const keypoints = new Array(numParts); + const rootPoint = getImageCoords(root.part, outputStride, offsets); + keypoints[root.part.id] = { + score: root.score, + part: partNames[root.part.id], + position: rootPoint + }; + for (let edge = numEdges - 1; edge >= 0; --edge) { + const sourceId = edgesFwd[edge]; + const targetId = edgesBwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsBwd); + } + } + for (let edge = 0; edge < numEdges; ++edge) { + const sourceId = edgesBwd[edge]; + const targetId = edgesFwd[edge]; + if (keypoints[sourceId] && !keypoints[targetId]) { + keypoints[targetId] = traverse(edge, keypoints[sourceId], targetId, scores, offsets, displacementsFwd); + } + } + return keypoints; +} +function scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores) { + const [height, width] = scores.shape; + let localMaximum = true; + const yStart = Math.max(heatmapY - localMaximumRadius, 0); + const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height); + for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) { + const xStart = Math.max(heatmapX - localMaximumRadius, 0); + const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width); + for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) { + if (scores.get(yCurrent, xCurrent, keypointId) > score) { + localMaximum = false; + break; + } + } + if (!localMaximum) + break; + } + return localMaximum; +} +function buildPartWithScoreQueue(minConfidence2, scores) { + const [height, width, numKeypoints] = scores.shape; + const queue = new MaxHeap(height * width * numKeypoints, ({ score }) => score); + for (let heatmapY = 0; heatmapY < height; ++heatmapY) { + for (let heatmapX = 0; heatmapX < width; ++heatmapX) { + for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) { + const score = scores.get(heatmapY, heatmapX, keypointId); + if (score < minConfidence2) + continue; + if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, scores)) + queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } }); + } + } + } + return queue; +} +function withinRadius(poses, { x, y }, keypointId) { + return poses.some(({ keypoints }) => { + var _a; + const correspondingKeypoint = (_a = keypoints[keypointId]) == null ? void 0 : _a.position; + if (!correspondingKeypoint) + return false; + return squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius; + }); +} +function getInstanceScore(existingPoses, keypoints) { + const notOverlappedKeypointScores = keypoints.reduce((result, { position, score }, keypointId) => { + if (!withinRadius(existingPoses, position, keypointId)) + result += score; + return result; + }, 0); + return notOverlappedKeypointScores / keypoints.length; +} +function decode(offsets, scores, displacementsFwd, displacementsBwd, maxDetected, minConfidence2) { + const poses = []; + const queue = buildPartWithScoreQueue(minConfidence2, scores); + while (poses.length < maxDetected && !queue.empty()) { + const root = queue.dequeue(); + const rootImageCoords = getImageCoords(root.part, outputStride, offsets); + if (withinRadius(poses, rootImageCoords, root.part.id)) + continue; + let keypoints = decodePose(root, scores, offsets, displacementsFwd, displacementsBwd); + keypoints = keypoints.filter((a) => a.score > minConfidence2); + const score = getInstanceScore(poses, keypoints); + const box = getBoundingBox(keypoints); + if (score > minConfidence2) + poses.push({ keypoints, box, score: Math.round(100 * score) / 100 }); + } + return poses; +} +async function predict19(input, config3) { + if (!(model20 == null ? void 0 : model20["executor"])) + return []; + const res = tf34.tidy(() => { + if (!model20.inputs[0].shape) + return []; + const resized = tf34.image.resizeBilinear(input, [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + const normalized = tf34.sub(tf34.div(tf34.cast(resized, "float32"), 127.5), 1); + const results = model20.execute(normalized, poseNetOutputs); + const results3d = results.map((y) => tf34.squeeze(y, [0])); + results3d[1] = tf34.sigmoid(results3d[1]); + return results3d; + }); + const buffers = await Promise.all(res.map((tensor6) => tensor6.buffer())); + for (const t2 of res) + tf34.dispose(t2); + const decoded = decode(buffers[0], buffers[1], buffers[2], buffers[3], config3.body.maxDetected, config3.body.minConfidence); + if (!model20.inputs[0].shape) + return []; + const scaled = scalePoses(decoded, [input.shape[1], input.shape[2]], [model20.inputs[0].shape[2], model20.inputs[0].shape[1]]); + return scaled; +} +async function load19(config3) { + if (!model20 || env.initial) + model20 = await loadModel(config3.body.modelPath); + else if (config3.debug) + log("cached model:", model20["modelUrl"]); + return model20; +} + +// src/segmentation/rvm.ts +var tf35 = __toESM(require_tfjs_esm()); +var model21; +var outputNodes2 = ["fgr", "pha", "r1o", "r2o", "r3o", "r4o"]; +var t = {}; +var ratio = 0; +function init3(config3) { + tf35.dispose([t.r1i, t.r2i, t.r3i, t.r4i, t.downsample_ratio]); + t.r1i = tf35.tensor(0); + t.r2i = tf35.tensor(0); + t.r3i = tf35.tensor(0); + t.r4i = tf35.tensor(0); + ratio = config3.segmentation.ratio || 0.5; + t.downsample_ratio = tf35.tensor(ratio); +} +async function load20(config3) { + if (!model21 || env.initial) + model21 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model21["modelUrl"]); + init3(config3); + return model21; +} +var normalize = (r) => tf35.tidy(() => { + const squeeze14 = tf35.squeeze(r, [0]); + const mul15 = tf35.mul(squeeze14, constants.tf255); + const cast8 = tf35.cast(mul15, "int32"); + return cast8; +}); +function getRGBA(fgr, pha) { + const rgb3 = fgr ? normalize(fgr) : tf35.fill([pha.shape[1] || 0, pha.shape[2] || 0, 3], 255, "int32"); + const a = pha ? normalize(pha) : tf35.fill([fgr.shape[1] || 0, fgr.shape[2] || 0, 1], 255, "int32"); + const rgba = tf35.concat([rgb3, a], -1); + tf35.dispose([rgb3, a]); + return rgba; +} +function getState(state) { + return tf35.tidy(() => { + const r = {}; + r.unstack = tf35.unstack(state, -1); + r.concat = tf35.concat(r.unstack, 1); + r.split = tf35.split(r.concat, 4, 1); + r.stack = tf35.concat(r.split, 2); + r.squeeze = tf35.squeeze(r.stack, [0]); + r.expand = tf35.expandDims(r.squeeze, -1); + r.add = tf35.add(r.expand, 1); + r.mul = tf35.mul(r.add, 127.5); + r.cast = tf35.cast(r.mul, "int32"); + r.tile = tf35.tile(r.cast, [1, 1, 3]); + r.alpha = tf35.fill([r.tile.shape[0] || 0, r.tile.shape[1] || 0, 1], 255, "int32"); + return tf35.concat([r.tile, r.alpha], -1); + }); +} +async function predict20(input, config3) { + if (!model21) + model21 = await load20(config3); + if (!(model21 == null ? void 0 : model21["executor"])) + return null; + t.src = tf35.div(input, 255); + if (ratio !== config3.segmentation.ratio) + init3(config3); + const [fgr, pha, r1o, r2o, r3o, r4o] = await model21.executeAsync(t, outputNodes2); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + rgba = getRGBA(fgr, pha); + break; + case "alpha": + rgba = getRGBA(null, pha); + break; + case "foreground": + rgba = getRGBA(fgr, null); + break; + case "state": + rgba = getState(r1o); + break; + default: + rgba = tf35.tensor(0); + } + tf35.dispose([t.src, fgr, pha, t.r1i, t.r2i, t.r3i, t.r4i]); + [t.r1i, t.r2i, t.r3i, t.r4i] = [r1o, r2o, r3o, r4o]; + return rgba; +} + +// src/segmentation/selfie.ts +var tf36 = __toESM(require_tfjs_esm()); +var model22; +async function load21(config3) { + if (!model22 || env.initial) + model22 = await loadModel(config3.segmentation.modelPath); + else if (config3.debug) + log("cached model:", model22["modelUrl"]); + return model22; +} +async function predict21(input, config3) { + var _a; + if (!model22) + model22 = await load21(config3); + if (!(model22 == null ? void 0 : model22["executor"]) || !((_a = model22 == null ? void 0 : model22.inputs) == null ? void 0 : _a[0].shape)) + return null; + const t2 = {}; + t2.resize = tf36.image.resizeBilinear(input, [model22.inputs[0].shape ? model22.inputs[0].shape[1] : 0, model22.inputs[0].shape ? model22.inputs[0].shape[2] : 0], false); + t2.norm = tf36.div(t2.resize, constants.tf255); + t2.res = model22.execute(t2.norm); + t2.squeeze = tf36.squeeze(t2.res, [0]); + t2.alpha = tf36.image.resizeBilinear(t2.squeeze, [input.shape[1] || 0, input.shape[2] || 0]); + t2.mul = tf36.mul(t2.alpha, constants.tf255); + let rgba; + switch (config3.segmentation.mode || "default") { + case "default": + t2.input = tf36.squeeze(input); + t2.concat = tf36.concat([t2.input, t2.mul], -1); + rgba = tf36.cast(t2.concat, "int32"); + break; + case "alpha": + rgba = tf36.cast(t2.mul, "int32"); + break; + default: + rgba = tf36.tensor(0); + } + Object.keys(t2).forEach((tensor6) => tf36.dispose(t2[tensor6])); + return rgba; +} + +// src/models.ts +function validateModel(instance, model23, name) { + var _a, _b; + if (!model23) + return null; + if (!((_a = instance == null ? void 0 : instance.config) == null ? void 0 : _a.validateModels)) + return null; + const simpleOps = ["const", "placeholder", "noop", "pad", "squeeze", "add", "sub", "mul", "div"]; + const ignoreOps = ["biasadd", "fusedbatchnormv3", "matmul", "switch", "shape", "merge", "split", "broadcastto"]; + const ops = []; + const missing = []; + const url = model23["modelUrl"]; + const executor = model23["executor"]; + if ((_b = executor == null ? void 0 : executor.graph) == null ? void 0 : _b.nodes) { + for (const kernel of Object.values(executor.graph.nodes)) { + const op = kernel.op.toLowerCase(); + if (!ops.includes(op)) + ops.push(op); + } + } else { + if (!executor && instance.config.debug) { + log("model not loaded", name); + } + } + for (const op of ops) { + if (!simpleOps.includes(op) && !ignoreOps.includes(op) && !instance.env.kernels.includes(op) && !instance.env.kernels.includes(op.replace("_", "")) && !instance.env.kernels.includes(op.replace("native", "")) && !instance.env.kernels.includes(op.replace("v2", ""))) { + missing.push(op); + } + } + if (instance.config.debug && missing.length > 0) + log("model validation failed:", name, missing); + return missing.length > 0 ? { name, missing, ops, url } : null; +} +var Models = class { + constructor(currentInstance) { + __publicField(this, "instance"); + __publicField(this, "models", {}); + this.models = {}; + this.instance = currentInstance; + } + stats() { + let totalSizeFromManifest = 0; + let totalSizeWeights = 0; + let totalSizeLoading = 0; + for (const m of Object.values(modelStats)) { + totalSizeFromManifest += m.sizeFromManifest; + totalSizeWeights += m.sizeLoadedWeights; + totalSizeLoading += m.sizeDesired; + } + const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0; + return { + numLoadedModels: Object.values(modelStats).length, + numDefinedModels: Object.keys(this.models).length, + percentageLoaded, + totalSizeFromManifest, + totalSizeWeights, + totalSizeLoading, + modelStats: Object.values(modelStats) + }; + } + reset() { + for (const model23 of Object.keys(this.models)) + this.models[model23] = null; + } + async load(instance) { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z, _A; + if (env.initial) + this.reset(); + if (instance) + this.instance = instance; + const m = {}; + m.blazeface = this.instance.config.face.enabled && !this.models.blazeface ? load3(this.instance.config) : null; + m.antispoof = this.instance.config.face.enabled && ((_a = this.instance.config.face.antispoof) == null ? void 0 : _a.enabled) && !this.models.antispoof ? load8(this.instance.config) : null; + m.liveness = this.instance.config.face.enabled && ((_b = this.instance.config.face.liveness) == null ? void 0 : _b.enabled) && !this.models.liveness ? load9(this.instance.config) : null; + m.faceres = this.instance.config.face.enabled && ((_c = this.instance.config.face.description) == null ? void 0 : _c.enabled) && !this.models.faceres ? load7(this.instance.config) : null; + m.emotion = this.instance.config.face.enabled && ((_d = this.instance.config.face.emotion) == null ? void 0 : _d.enabled) && !this.models.emotion ? load6(this.instance.config) : null; + m.iris = this.instance.config.face.enabled && ((_e = this.instance.config.face.iris) == null ? void 0 : _e.enabled) && !((_f = this.instance.config.face.attention) == null ? void 0 : _f.enabled) && !this.models.iris ? load4(this.instance.config) : null; + m.facemesh = this.instance.config.face.enabled && ((_g = this.instance.config.face.mesh) == null ? void 0 : _g.enabled) && !this.models.facemesh ? load5(this.instance.config) : null; + m.gear = this.instance.config.face.enabled && ((_h = this.instance.config.face["gear"]) == null ? void 0 : _h.enabled) && !this.models.gear ? load10(this.instance.config) : null; + m.ssrnetage = this.instance.config.face.enabled && ((_i = this.instance.config.face["ssrnet"]) == null ? void 0 : _i.enabled) && !this.models.ssrnetage ? load11(this.instance.config) : null; + m.ssrnetgender = this.instance.config.face.enabled && ((_j = this.instance.config.face["ssrnet"]) == null ? void 0 : _j.enabled) && !this.models.ssrnetgender ? load12(this.instance.config) : null; + m.mobilefacenet = this.instance.config.face.enabled && ((_k = this.instance.config.face["mobilefacenet"]) == null ? void 0 : _k.enabled) && !this.models.mobilefacenet ? load13(this.instance.config) : null; + m.insightface = this.instance.config.face.enabled && ((_l = this.instance.config.face["insightface"]) == null ? void 0 : _l.enabled) && !this.models.insightface ? load14(this.instance.config) : null; + m.blazepose = this.instance.config.body.enabled && !this.models.blazepose && ((_m = this.instance.config.body.modelPath) == null ? void 0 : _m.includes("blazepose")) ? loadPose(this.instance.config) : null; + m.blazeposedetect = this.instance.config.body.enabled && !this.models.blazeposedetect && this.instance.config.body["detector"] && this.instance.config.body["detector"].modelPath ? loadDetect(this.instance.config) : null; + m.efficientpose = this.instance.config.body.enabled && !this.models.efficientpose && ((_n = this.instance.config.body.modelPath) == null ? void 0 : _n.includes("efficientpose")) ? load2(this.instance.config) : null; + m.movenet = this.instance.config.body.enabled && !this.models.movenet && ((_o = this.instance.config.body.modelPath) == null ? void 0 : _o.includes("movenet")) ? load17(this.instance.config) : null; + m.posenet = this.instance.config.body.enabled && !this.models.posenet && ((_p = this.instance.config.body.modelPath) == null ? void 0 : _p.includes("posenet")) ? load19(this.instance.config) : null; + m.handtrack = this.instance.config.hand.enabled && !this.models.handtrack && ((_r = (_q = this.instance.config.hand.detector) == null ? void 0 : _q.modelPath) == null ? void 0 : _r.includes("handtrack")) ? loadDetect2(this.instance.config) : null; + m.handskeleton = this.instance.config.hand.enabled && this.instance.config.hand.landmarks && !this.models.handskeleton && ((_t = (_s = this.instance.config.hand.detector) == null ? void 0 : _s.modelPath) == null ? void 0 : _t.includes("handtrack")) ? loadSkeleton(this.instance.config) : null; + if ((_v = (_u = this.instance.config.hand.detector) == null ? void 0 : _u.modelPath) == null ? void 0 : _v.includes("handdetect")) + [m.handpose, m.handskeleton] = !this.models.handpose ? await load15(this.instance.config) : [null, null]; + m.centernet = this.instance.config.object.enabled && !this.models.centernet && ((_w = this.instance.config.object.modelPath) == null ? void 0 : _w.includes("centernet")) ? load(this.instance.config) : null; + m.nanodet = this.instance.config.object.enabled && !this.models.nanodet && ((_x = this.instance.config.object.modelPath) == null ? void 0 : _x.includes("nanodet")) ? load18(this.instance.config) : null; + m.selfie = this.instance.config.segmentation.enabled && !this.models.selfie && ((_y = this.instance.config.segmentation.modelPath) == null ? void 0 : _y.includes("selfie")) ? load21(this.instance.config) : null; + m.meet = this.instance.config.segmentation.enabled && !this.models.meet && ((_z = this.instance.config.segmentation.modelPath) == null ? void 0 : _z.includes("meet")) ? load16(this.instance.config) : null; + m.rvm = this.instance.config.segmentation.enabled && !this.models.rvm && ((_A = this.instance.config.segmentation.modelPath) == null ? void 0 : _A.includes("rvm")) ? load20(this.instance.config) : null; + for (const [model23, promise] of Object.entries(m)) { + if (promise == null ? void 0 : promise["then"]) + promise["then"]((val) => this.models[model23] = val); + } + await Promise.all(Object.values(m)); + } + list() { + const models3 = Object.keys(this.models).map((model23) => { + var _a; + return { name: model23, loaded: this.models[model23] !== null, size: 0, url: this.models[model23] ? (_a = this.models[model23]) == null ? void 0 : _a["modelUrl"] : null }; + }); + for (const m of models3) { + const stats = Object.keys(modelStats).find((s) => s.startsWith(m.name)); + if (!stats) + continue; + m.size = modelStats[stats].sizeLoadedWeights; + m.url = modelStats[stats].url; + } + return models3; + } + loaded() { + const list = this.list(); + const loaded = list.filter((model23) => model23.loaded).map((model23) => model23.name); + return loaded; + } + validate() { + const missing = []; + for (const defined of Object.keys(this.models)) { + const model23 = this.models[defined]; + if (!model23) + continue; + const res = validateModel(this.instance, model23, defined); + if (res) + missing.push(res); + } + return missing; + } +}; + +// src/util/persons.ts +function join2(faces, bodies, hands, gestures, shape) { + var _a, _b, _c, _d, _e, _f; + let id = 0; + const persons = []; + for (const face4 of faces) { + const person2 = { id: id++, face: face4, body: null, hands: { left: null, right: null }, gestures: [], box: [0, 0, 0, 0] }; + for (const body4 of bodies) { + if (face4.box[0] > body4.box[0] && face4.box[0] < body4.box[0] + body4.box[2] && face4.box[1] + face4.box[3] > body4.box[1] && face4.box[1] + face4.box[3] < body4.box[1] + body4.box[3]) { + person2.body = body4; + } + } + if (person2.body) { + for (const hand3 of hands) { + if (hand3.box[0] + hand3.box[2] > person2.body.box[0] && hand3.box[0] + hand3.box[2] < person2.body.box[0] + person2.body.box[2] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.left = hand3; + } + if (hand3.box[0] < person2.body.box[0] + person2.body.box[2] && hand3.box[0] > person2.body.box[0] && hand3.box[1] + hand3.box[3] > person2.body.box[1] && hand3.box[1] + hand3.box[3] < person2.body.box[1] + person2.body.box[3]) { + if (person2.hands) + person2.hands.right = hand3; + } + } + } + for (const gesture2 of gestures) { + if (gesture2["face"] !== void 0 && gesture2["face"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["iris"] !== void 0 && gesture2["iris"] === face4.id) + person2.gestures.push(gesture2); + else if (gesture2["body"] !== void 0 && gesture2["body"] === ((_a = person2.body) == null ? void 0 : _a.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_b = person2.hands.left) == null ? void 0 : _b.id)) + person2.gestures.push(gesture2); + else if (gesture2["hand"] !== void 0 && gesture2["hand"] === ((_c = person2.hands.right) == null ? void 0 : _c.id)) + person2.gestures.push(gesture2); + } + const x = []; + const y = []; + const extractXY = (box) => { + if (box && box.length === 4) { + x.push(box[0], box[0] + box[2]); + y.push(box[1], box[1] + box[3]); + } + }; + extractXY(person2.face.box); + extractXY((_d = person2.body) == null ? void 0 : _d.box); + extractXY((_e = person2.hands.left) == null ? void 0 : _e.box); + extractXY((_f = person2.hands.right) == null ? void 0 : _f.box); + const minX = Math.min(...x); + const minY = Math.min(...y); + person2.box = [minX, minY, Math.max(...x) - minX, Math.max(...y) - minY]; + if ((shape == null ? void 0 : shape[1]) && (shape == null ? void 0 : shape[2])) + person2.boxRaw = [person2.box[0] / shape[2], person2.box[1] / shape[1], person2.box[2] / shape[2], person2.box[3] / shape[1]]; + persons.push(person2); + } + return persons; +} + +// src/warmup.ts +var tf37 = __toESM(require_tfjs_esm()); + +// src/sample.ts +var face3 = ` /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob @@ -269,7 +14473,8 @@ PQ4GJ+ashuK0MhWaoWcA0AaOmASMK7jRNPWYBmHyiuepO2x10qfcv6vYxCzYqoGK4HVYVTJrmb5l c6oaM5TUJ8EgGsG4kLNUHT0M64OaqMMikSRsuKbnFMRLG3zVehOaGNE445NNlnVFpDMu6uie9Vo1 8z5mOAOST2pDK91cNN+5tsrH3PrW54a06KxT7fdrlh/q1Pc+tJ6IUdZGvHPLezMcnBOWbsPap5r3 ylFtbdT1xUWNWzU0/Zbwlgfmx8zGsHWtRHmMqE59aAMyNifvHPc1f0gtPdqkY5JosJHeNci2tktY -euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`,Zt=` +euPnNY+oXWZEVJNrZ9aun8SIq/CzodHuriIokhDIR1ronbKZr0o6o8ipoz//2Q==`; +var body3 = ` /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAsICAoIBwsKCQoNDAsNERwSEQ8PESIZGhQcKSQrKigk JyctMkA3LTA9MCcnOEw5PUNFSElIKzZPVU5GVEBHSEX/2wBDAQwNDREPESESEiFFLicuRUVFRUVF RUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUX/wAARCASwBLADASIA @@ -837,4 +15042,685 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;async function xa(e){let t=(r,s="application/octet-stream")=>fetch(`data:${s};base64,${r}`).then(A=>A.blob()),n,o;switch(e.config.warmup){case"face":n=await t(Vt);break;case"body":case"full":n=await t(Zt);break;default:n=null}if(n){let r=await createImageBitmap(n);o=await e.detect(r,e.config),r.close()}return o}async function ya(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+Vt;break;case"full":case"body":n="data:image/jpeg;base64,"+Zt;break;default:n=""}let o;if(typeof Image!="undefined")o=new Image;else if(R.Image)o=new R.Image;else{t(void 0);return}o.onload=async()=>{let r=Ae(o.naturalWidth,o.naturalHeight);if(!r)h("Warmup: Canvas not found"),t(void 0);else{let s=r.getContext("2d");s&&s.drawImage(o,0,0);let A=await e.image(r,!0),a=A.tensor?await e.detect(A.tensor,e.config):void 0;t(a)}},n?o.src=n:t(void 0)})}async function fa(e){let t=r=>Buffer.from(r,"base64"),n;e.config.warmup==="face"?n=t(Vt):n=t(Zt);let o;if("node"in d0&&d0.getBackend()==="tensorflow"){let r=d0.node.decodeJpeg(n),s=d0.expandDims(r,0);e.tf.dispose(r),o=await e.detect(s,e.config),e.tf.dispose(s)}else e.config.debug&&h("Warmup tfjs-node not loaded");return o}async function ma(e){let t;return typeof createImageBitmap=="function"?t=await xa(e):typeof Image!="undefined"||R.Canvas!==void 0?t=await ya(e):t=await fa(e),t}async function pa(e){var a,l,c,x;if(!d0.env().flagRegistry.ENGINE_COMPILE_ONLY)return;let t=d0.getBackend(),n=d0.backend();if(t!=="webgl"&&t!=="humangl"||!(n!=null&&n.checkCompileCompletion))return;d0.env().set("ENGINE_COMPILE_ONLY",!0);let o=d0.engine().state.numTensors,r=[];for(let[i,f]of Object.entries(e.models.models)){if(!f)continue;let d=f!=null&&f.modelSignature&&((l=(a=f==null?void 0:f.inputs)==null?void 0:a[0])!=null&&l.shape)?[...f.inputs[0].shape]:[1,64,64,3],m=f!=null&&f.modelSignature&&((x=(c=f==null?void 0:f.inputs)==null?void 0:c[0])!=null&&x.dtype)?f.inputs[0].dtype:"float32";for(let u=0;ud0.dispose(T)):d0.dispose(u)}catch(u){e.config.debug&&h("compile fail model:",i)}d0.dispose(y)}let s=await n.checkCompileCompletionAsync();n.getUniformLocations(),e.config.debug&&h("compile pass:",{models:r,kernels:s.length}),d0.env().set("ENGINE_COMPILE_ONLY",!1);let A=d0.engine().state.numTensors;A-o>0&&h("tensor leak:",A-o)}async function Co(e,t){await I2(e,!1);let n=v();return e.state="warmup",t&&(e.config=a0(e.config,t)),!e.config.warmup||e.config.warmup.length===0||e.config.warmup==="none"?Te():new Promise(async o=>{await e.models.load(),await pa(e);let r=await ma(e),s=v();e.config.debug&&h("warmup",e.config.warmup,Math.round(s-n),"ms"),e.emit("warmup"),o(r)})}var P2,G2,V2,Xt,Ye,k1=class{constructor(t){w(this,"version");w(this,"config");w(this,"result");w(this,"state");w(this,"process");w(this,"tf");w(this,"env",R);w(this,"draw",nt);w(this,"match",Ot);w(this,"models");w(this,"events");w(this,"faceTriangulation");w(this,"faceUVMap");w(this,"performance");ue(this,P2,void 0);ue(this,G2,void 0);ue(this,V2,void 0);w(this,"analyze",(...t)=>{if(!Y0(this,G2))return;let n=this.tf.engine().state.numTensors,o=Y0(this,P2);Re(this,P2,n);let r=n-o;r!==0&&h(...t,r)});ue(this,Xt,t=>{if(!Y0(this,V2))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof de.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});w(this,"webcam",new K2);w(this,"emit",t=>{var n;(n=this.events)!=null&&n.dispatchEvent&&this.events.dispatchEvent(new Event(t))});ue(this,Ye,{});let n=(de.version.tfjs||de.version_core).replace(/-(.*)/,"");Ke.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${n}/dist/`,Ke.modelBasePath=R.browser?"../models/":"file://models/",this.version=t5,Object.defineProperty(this,"version",{value:t5}),this.config=JSON.parse(JSON.stringify(Ke)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=a0(this.config,t)),Z1(this.config),this.tf=de,this.state="idle",Re(this,P2,0),Re(this,G2,!1),Re(this,V2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new H2(this),i5(),this.result=Te(),this.process={tensor:null,canvas:null},this.faceTriangulation=W3,this.faceUVMap=D3,Gt(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&h(`version: ${this.version}`),this.config.debug&&h(`tfjs version: ${this.tf.version["tfjs-core"]}`);let o=JSON.parse(JSON.stringify(this.env));delete o.kernels,delete o.initial,delete o.perfadd,this.config.debug&&h("environment:",o)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(Ke)),this.config.backend=t,$t(),R.initial=!0}validate(t){let n=Jt(Ke,t||this.config);return n.length===0&&(this.config=a0(this.config,t)),n}now(){return v()}image(t,n=!1){return U2(t,this.config,n)}async segmentation(t,n){var s,A,a;if(n&&(this.config=a0(this.config,n)),!this.config.segmentation.enabled)return null;let o=await U2(t,this.config);if(!o.tensor)return null;let r=null;return(s=this.config.segmentation.modelPath)!=null&&s.includes("rvm")&&(r=await jo(o.tensor,this.config)),(A=this.config.segmentation.modelPath)!=null&&A.includes("meet")&&(r=await io(o.tensor,this.config)),(a=this.config.segmentation.modelPath)!=null&&a.includes("selfie")&&(r=await No(o.tensor,this.config)),de.dispose(o.tensor),r}compare(t,n){return V1(this.config,t,n)}async init(){await I2(this,!0),await this.tf.ready(),$t()}async load(t){this.state="load";let n=v(),o=Object.values(this.models.models).filter(A=>A).length;t&&(this.config=a0(this.config,t)),this.env.initial&&(await I2(this,!1)||h("error: backend check failed"),await de.ready(),this.env.browser&&(this.config.debug&&h("configuration:",this.config),this.config.debug&&h("tf flags:",this.tf.ENV.flags))),await this.models.load(this),this.env.initial&&this.config.debug&&h("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models.models).filter(A=>A).length!==o&&(this.models.validate(),this.emit("load"));let s=Math.trunc(v()-n);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return ao(t,this.config)}async warmup(t){let n=v(),o=await Co(this,t),r=v();return this.performance.warmup=Math.trunc(r-n),o}async profile(t,n){let o=await this.tf.profile(()=>this.detect(t,n)),r={},s=0;for(let a of o.kernels){let l=Number(a.kernelTimeMs)||0;r[a.name]?r[a.name]+=l:r[a.name]=l,s+=l}let A=[];Object.entries(r).forEach(a=>A.push({kernel:a[0],time:a[1],perc:0}));for(let a of A)a.perc=Math.round(1e3*a.time/s)/1e3,a.time=Math.round(1e3*a.time)/1e3;return A.sort((a,l)=>l.time-a.time),A.length=20,A}async detect(t,n){return this.state="detect",new Promise(async o=>{var u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0,M,T0,C0,x0,K;this.state="config";let r;this.config=a0(this.config,n),this.state="check";let s=Y0(this,Xt).call(this,t);s&&(h(s,t),this.emit("error"),o(Te(s)));let A=v();await this.load(),r=v(),this.state="image";let a=await U2(t,this.config);if(this.process=a,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Get Image:"),!a.tensor){this.config.debug&&h("could not convert input to tensor"),this.emit("error"),o(Te("could not convert input to tensor"));return}this.emit("image"),r=v(),this.config.skipAllowed=await G1(this.config,a.tensor),this.config.filter.autoBrightness=(this.config.filter.autoBrightness||!1)&&this.config.skipAllowed,this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(v()-r):Math.trunc(v()-r),this.analyze("Check Changed:");let l=[],c=[],x=[],i=[];this.state="detect:face",this.config.async?(l=this.config.face.enabled?J5(this,a.tensor):[],this.performance.face&&delete this.performance.face):(r=v(),l=this.config.face.enabled?await J5(this,a.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(l=await l),this.analyze("Start Body:"),this.state="detect:body";let f=this.config.body.maxDetected===-1?a0(this.config,{body:{maxDetected:this.config.face.enabled?1*l.length:1}}):this.config;this.config.async?((u=this.config.body.modelPath)!=null&&u.includes("posenet")?c=this.config.body.enabled?g1(a.tensor,f):[]:(T=this.config.body.modelPath)!=null&&T.includes("blazepose")?c=this.config.body.enabled?y5(a.tensor,f):[]:(g=this.config.body.modelPath)!=null&&g.includes("efficientpose")?c=this.config.body.enabled?g5(a.tensor,f):[]:(p=this.config.body.modelPath)!=null&&p.includes("movenet")&&(c=this.config.body.enabled?y1(a.tensor,f):[]),this.performance.body&&delete this.performance.body):(r=v(),(b=this.config.body.modelPath)!=null&&b.includes("posenet")?c=this.config.body.enabled?await g1(a.tensor,f):[]:(k=this.config.body.modelPath)!=null&&k.includes("blazepose")?c=this.config.body.enabled?await y5(a.tensor,f):[]:(P=this.config.body.modelPath)!=null&&P.includes("efficientpose")?c=this.config.body.enabled?await g5(a.tensor,f):[]:(N=this.config.body.modelPath)!=null&&N.includes("movenet")&&(c=this.config.body.enabled?await y1(a.tensor,f):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let d=this.config.hand.maxDetected===-1?a0(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?((_=(V=this.config.hand.detector)==null?void 0:V.modelPath)!=null&&_.includes("handdetect")?x=this.config.hand.enabled?t1(a.tensor,d):[]:($=(Z=this.config.hand.detector)==null?void 0:Z.modelPath)!=null&&$.includes("handtrack")&&(x=this.config.hand.enabled?r1(a.tensor,d):[]),this.performance.hand&&delete this.performance.hand):(r=v(),(n0=(A0=this.config.hand.detector)==null?void 0:A0.modelPath)!=null&&n0.includes("handdetect")?x=this.config.hand.enabled?await t1(a.tensor,d):[]:(j0=(t0=this.config.hand.detector)==null?void 0:t0.modelPath)!=null&&j0.includes("handtrack")&&(x=this.config.hand.enabled?await r1(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((M=this.config.object.modelPath)!=null&&M.includes("nanodet")?i=this.config.object.enabled?m1(a.tensor,this.config):[]:(T0=this.config.object.modelPath)!=null&&T0.includes("centernet")&&(i=this.config.object.enabled?p5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=v(),(C0=this.config.object.modelPath)!=null&&C0.includes("nanodet")?i=this.config.object.enabled?await m1(a.tensor,this.config):[]:(x0=this.config.object.modelPath)!=null&&x0.includes("centernet")&&(i=this.config.object.enabled?await p5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let m=[];this.config.gesture.enabled&&(r=v(),m=[...Cn(l),...On(c),...Dn(x),...Wn(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(v()-A):Math.trunc(v()-A);let y=((K=this.process.tensor)==null?void 0:K.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:m,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:y[2],height:y[1],get persons(){return Oo(l,c,x,m,y)}},de.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(Y0(this,Ye)[t.id]||(this.config.debug&&h("video start",t.id),Y0(this,Ye)[t.id]=!0),!t.paused&&Y0(this,Ye)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),Y0(this,Ye)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&h("video stop",t.id),Y0(this,Ye)[t.id]=!1)}};P2=new WeakMap,G2=new WeakMap,V2=new WeakMap,Xt=new WeakMap,Ye=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models}); +2Q==`; + +// src/warmup.ts +async function warmupBitmap(instance) { + const b64toBlob = (base64, type = "application/octet-stream") => fetch(`data:${type};base64,${base64}`).then((res2) => res2.blob()); + let blob; + let res; + switch (instance.config.warmup) { + case "face": + blob = await b64toBlob(face3); + break; + case "body": + case "full": + blob = await b64toBlob(body3); + break; + default: + blob = null; + } + if (blob) { + const bitmap = await createImageBitmap(blob); + res = await instance.detect(bitmap, instance.config); + bitmap.close(); + } + return res; +} +async function warmupCanvas(instance) { + return new Promise((resolve) => { + let src; + switch (instance.config.warmup) { + case "face": + src = "data:image/jpeg;base64," + face3; + break; + case "full": + case "body": + src = "data:image/jpeg;base64," + body3; + break; + default: + src = ""; + } + let img; + if (typeof Image !== "undefined") + img = new Image(); + else if (env.Image) + img = new env.Image(); + else { + resolve(void 0); + return; + } + img.onload = async () => { + const canvas3 = canvas(img.naturalWidth, img.naturalHeight); + if (!canvas3) { + log("Warmup: Canvas not found"); + resolve(void 0); + } else { + const ctx = canvas3.getContext("2d"); + if (ctx) + ctx.drawImage(img, 0, 0); + const tensor6 = await instance.image(canvas3, true); + const res = tensor6.tensor ? await instance.detect(tensor6.tensor, instance.config) : void 0; + resolve(res); + } + }; + if (src) + img.src = src; + else + resolve(void 0); + }); +} +async function warmupNode(instance) { + const atob = (str) => Buffer.from(str, "base64"); + let img; + if (instance.config.warmup === "face") + img = atob(face3); + else + img = atob(body3); + let res; + if ("node" in tf37 && tf37.getBackend() === "tensorflow") { + const data = tf37["node"].decodeJpeg(img); + const expanded = tf37.expandDims(data, 0); + instance.tf.dispose(data); + res = await instance.detect(expanded, instance.config); + instance.tf.dispose(expanded); + } else { + if (instance.config.debug) + log("Warmup tfjs-node not loaded"); + } + return res; +} +async function runInference(instance) { + let res; + if (typeof createImageBitmap === "function") + res = await warmupBitmap(instance); + else if (typeof Image !== "undefined" || env.Canvas !== void 0) + res = await warmupCanvas(instance); + else + res = await warmupNode(instance); + return res; +} +async function runCompile(instance) { + var _a, _b, _c, _d; + if (!tf37.env().flagRegistry.ENGINE_COMPILE_ONLY) + return; + const backendType = tf37.getBackend(); + const webGLBackend = tf37.backend(); + if (backendType !== "webgl" && backendType !== "humangl" || !(webGLBackend == null ? void 0 : webGLBackend["checkCompileCompletion"])) { + return; + } + tf37.env().set("ENGINE_COMPILE_ONLY", true); + const numTensorsStart = tf37.engine().state.numTensors; + const compiledModels = []; + for (const [modelName, model23] of Object.entries(instance.models.models)) { + if (!model23) + continue; + const shape = (model23 == null ? void 0 : model23.modelSignature) && ((_b = (_a = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _a[0]) == null ? void 0 : _b.shape) ? [...model23.inputs[0].shape] : [1, 64, 64, 3]; + const dtype = (model23 == null ? void 0 : model23.modelSignature) && ((_d = (_c = model23 == null ? void 0 : model23.inputs) == null ? void 0 : _c[0]) == null ? void 0 : _d.dtype) ? model23.inputs[0].dtype : "float32"; + for (let dim = 0; dim < shape.length; dim++) { + if (shape[dim] === -1) + shape[dim] = dim === 0 ? 1 : 64; + } + const tensor6 = tf37.zeros(shape, dtype); + try { + const res = model23.execute(tensor6); + compiledModels.push(modelName); + if (Array.isArray(res)) + res.forEach((t2) => tf37.dispose(t2)); + else + tf37.dispose(res); + } catch (e) { + if (instance.config.debug) + log("compile fail model:", modelName); + } + tf37.dispose(tensor6); + } + const kernels = await webGLBackend["checkCompileCompletionAsync"](); + webGLBackend["getUniformLocations"](); + if (instance.config.debug) + log("compile pass:", { models: compiledModels, kernels: kernels.length }); + tf37.env().set("ENGINE_COMPILE_ONLY", false); + const numTensorsEnd = tf37.engine().state.numTensors; + if (numTensorsEnd - numTensorsStart > 0) + log("tensor leak:", numTensorsEnd - numTensorsStart); +} +async function warmup(instance, userConfig) { + await check(instance, false); + const t0 = now(); + instance.state = "warmup"; + if (userConfig) + instance.config = mergeDeep(instance.config, userConfig); + if (!instance.config.warmup || instance.config.warmup.length === 0 || instance.config.warmup === "none") { + return empty(); + } + return new Promise(async (resolve) => { + await instance.models.load(); + await runCompile(instance); + const res = await runInference(instance); + const t1 = now(); + if (instance.config.debug) + log("warmup", instance.config.warmup, Math.round(t1 - t0), "ms"); + instance.emit("warmup"); + resolve(res); + }); +} + +// src/human.ts +var _numTensors, _analyzeMemoryLeaks, _checkSanity, _sanity, _loops; +var Human = class { + // definition end + /** Constructor for **Human** library that is futher used for all operations + * @param userConfig - user configuration object {@link Config} + */ + constructor(userConfig) { + /** Current version of Human library in *semver* format */ + __publicField(this, "version"); + /** Current configuration + * - Defaults: [config](https://github.com/vladmandic/human/blob/main/src/config.ts#L262) + */ + __publicField(this, "config"); + /** Last known result of detect run + * - Can be accessed anytime after initial detection + */ + __publicField(this, "result"); + /** Current state of Human library + * - Can be polled to determine operations that are currently executed + * - Progresses through: 'config', 'check', 'backend', 'load', 'run:', 'idle' + */ + __publicField(this, "state"); + /** currenty processed image tensor and canvas */ + __publicField(this, "process"); + /** Instance of TensorFlow/JS used by Human + * - Can be embedded or externally provided + * [TFJS API](https://js.tensorflow.org/api/latest/) + */ + __publicField(this, "tf"); + /** Object containing environment information used for diagnostics */ + __publicField(this, "env", env); + /** Draw helper classes that can draw detected objects on canvas using specified draw + * - canvas: draws input to canvas + * - options: are global settings for all draw operations, can be overriden for each draw method {@link DrawOptions} + * - face, body, hand, gesture, object, person: draws detected results as overlays on canvas + */ + // draw: { canvas: typeof draw.canvas, face: typeof draw.face, body: typeof draw.body, hand: typeof draw.hand, gesture: typeof draw.gesture, object: typeof draw.object, person: typeof draw.person, all: typeof draw.all, options: DrawOptions }; + __publicField(this, "draw", draw_exports); + /** Face Matching + * - similarity: compare two face descriptors and return similarity index + * - distance: compare two face descriptors and return raw calculated differences + * - find: compare face descriptor to array of face descriptors and return best match + */ + __publicField(this, "match", match_exports); + /** Currently loaded models + * @internal + * {@link models#Models} + */ + __publicField(this, "models"); + /** Container for events dispatched by Human + * Possible events: + * - `create`: triggered when Human object is instantiated + * - `load`: triggered when models are loaded (explicitly or on-demand) + * - `image`: triggered when input image is processed + * - `result`: triggered when detection is complete + * - `warmup`: triggered when warmup is complete + * - `error`: triggered on some errors + */ + __publicField(this, "events"); + /** Reference face triangualtion array of 468 points, used for triangle references between points */ + __publicField(this, "faceTriangulation"); + /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */ + __publicField(this, "faceUVMap"); + /** Performance object that contains values for all recently performed operations */ + __publicField(this, "performance"); + // perf members are dynamically defined as needed + __privateAdd(this, _numTensors, void 0); + __privateAdd(this, _analyzeMemoryLeaks, void 0); + __privateAdd(this, _checkSanity, void 0); + /** internal function to measure tensor leaks */ + __publicField(this, "analyze", (...msg) => { + if (!__privateGet(this, _analyzeMemoryLeaks)) + return; + const currentTensors = this.tf.engine().state.numTensors; + const previousTensors = __privateGet(this, _numTensors); + __privateSet(this, _numTensors, currentTensors); + const leaked = currentTensors - previousTensors; + if (leaked !== 0) + log(...msg, leaked); + }); + /** internal function for quick sanity check on inputs @hidden */ + __privateAdd(this, _sanity, (input) => { + if (!__privateGet(this, _checkSanity)) + return null; + if (!input) + return "input is not defined"; + if (this.env.node && !(input instanceof tf38.Tensor)) + return "input must be a tensor"; + try { + this.tf.getBackend(); + } catch (e) { + return "backend not loaded"; + } + return null; + }); + /** WebCam helper methods + * + */ + __publicField(this, "webcam", new WebCam()); + /** emit event */ + __publicField(this, "emit", (event) => { + var _a; + if ((_a = this.events) == null ? void 0 : _a.dispatchEvent) + this.events.dispatchEvent(new Event(event)); + }); + /** internal structure that keeps track of processed videos @hidden */ + __privateAdd(this, _loops, {}); + const tfVersion = (tf38.version.tfjs || tf38.version_core).replace(/-(.*)/, ""); + config.wasmPath = `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tfVersion}/dist/`; + config.modelBasePath = env.browser ? "../models/" : "file://models/"; + this.version = version2; + Object.defineProperty(this, "version", { value: version2 }); + this.config = JSON.parse(JSON.stringify(config)); + Object.seal(this.config); + this.config.cacheModels = typeof indexedDB !== "undefined"; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + setModelLoadOptions(this.config); + this.tf = tf38; + this.state = "idle"; + __privateSet(this, _numTensors, 0); + __privateSet(this, _analyzeMemoryLeaks, false); + __privateSet(this, _checkSanity, false); + this.performance = {}; + this.events = typeof EventTarget !== "undefined" ? new EventTarget() : void 0; + this.models = new Models(this); + init2(); + this.result = empty(); + this.process = { tensor: null, canvas: null }; + this.faceTriangulation = triangulation; + this.faceUVMap = uvmap; + validateModel(this, null, ""); + this.emit("create"); + if (this.config.debug || this.env.browser) + log(`version: ${this.version}`); + if (this.config.debug) + log(`tfjs version: ${this.tf.version["tfjs-core"]}`); + const envTemp = JSON.parse(JSON.stringify(this.env)); + delete envTemp.kernels; + delete envTemp.initial; + delete envTemp.perfadd; + if (this.config.debug) + log("environment:", envTemp); + } + /** Reset configuration to default values */ + reset() { + const currentBackend = this.config.backend; + this.config = JSON.parse(JSON.stringify(config)); + this.config.backend = currentBackend; + reset(); + env.initial = true; + } + /** Validate current configuration schema */ + validate(userConfig) { + const msgs = validate(config, userConfig || this.config); + if (msgs.length === 0) + this.config = mergeDeep(this.config, userConfig); + return msgs; + } + /** Utility wrapper for performance.now() */ + now() { + return now(); + } + /** Process input as return canvas and tensor + * + * @param input - any input {@link Input} + * @param getTensor - should image processing also return tensor or just canvas + * Returns object with `tensor` and `canvas` + */ + image(input, getTensor = false) { + return process2(input, this.config, getTensor); + } + /** Segmentation method takes any input and returns RGBA tensor + * Note: Segmentation is not triggered as part of detect process + * + * @param input - {@link Input} + * Returns tensor which contains image data in RGBA format + */ + async segmentation(input, userConfig) { + var _a, _b, _c; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (!this.config.segmentation.enabled) + return null; + const processed = await process2(input, this.config); + if (!processed.tensor) + return null; + let tensor6 = null; + if ((_a = this.config.segmentation.modelPath) == null ? void 0 : _a.includes("rvm")) + tensor6 = await predict20(processed.tensor, this.config); + if ((_b = this.config.segmentation.modelPath) == null ? void 0 : _b.includes("meet")) + tensor6 = await predict16(processed.tensor, this.config); + if ((_c = this.config.segmentation.modelPath) == null ? void 0 : _c.includes("selfie")) + tensor6 = await predict21(processed.tensor, this.config); + tf38.dispose(processed.tensor); + return tensor6; + } + /** Compare two input tensors for pixel similarity + * - use `human.image` to process any valid input and get a tensor that can be used for compare + * - when passing manually generated tensors: + * - both input tensors must be in format [1, height, width, 3] + * - if resolution of tensors does not match, second tensor will be resized to match resolution of the first tensor + * - return value is pixel similarity score normalized by input resolution and rgb channels + */ + compare(firstImageTensor, secondImageTensor) { + return compare(this.config, firstImageTensor, secondImageTensor); + } + /** Explicit backend initialization + * - Normally done implicitly during initial load phase + * - Call to explictly register and initialize TFJS backend without any other operations + * - Use when changing backend during runtime + */ + async init() { + await check(this, true); + await this.tf.ready(); + reset(); + } + /** Load method preloads all configured models on-demand + * - Not explicitly required as any required model is load implicitly on it's first run + * + * @param userConfig - {@link Config} + */ + async load(userConfig) { + this.state = "load"; + const timeStamp = now(); + const count2 = Object.values(this.models.models).filter((model23) => model23).length; + if (userConfig) + this.config = mergeDeep(this.config, userConfig); + if (this.env.initial) { + if (!await check(this, false)) + log("error: backend check failed"); + await tf38.ready(); + if (this.env.browser) { + if (this.config.debug) + log("configuration:", this.config); + if (this.config.debug) + log("tf flags:", this.tf.ENV.flags); + } + } + await this.models.load(this); + if (this.env.initial && this.config.debug) + log("tf engine state:", this.tf.engine().state.numBytes, "bytes", this.tf.engine().state.numTensors, "tensors"); + this.env.initial = false; + const loaded = Object.values(this.models.models).filter((model23) => model23).length; + if (loaded !== count2) { + this.models.validate(); + this.emit("load"); + } + const current = Math.trunc(now() - timeStamp); + if (current > (this.performance.loadModels || 0)) + this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current; + } + /** Runs interpolation using last known result and returns smoothened result + * Interpolation is based on time since last known result so can be called independently + * + * @param result - {@link Result} optional use specific result set to run interpolation on + * @returns result - {@link Result} + */ + next(result = this.result) { + return calc2(result, this.config); + } + /** Warmup method pre-initializes all configured models for faster inference + * - can take significant time on startup + * - only used for `webgl` and `humangl` backends + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async warmup(userConfig) { + const t0 = now(); + const res = await warmup(this, userConfig); + const t1 = now(); + this.performance.warmup = Math.trunc(t1 - t0); + return res; + } + /** Run detect with tensorflow profiling + * - result object will contain total exeuction time information for top-20 kernels + * - actual detection object can be accessed via `human.result` + */ + async profile(input, userConfig) { + const profile = await this.tf.profile(() => this.detect(input, userConfig)); + const kernels = {}; + let total = 0; + for (const kernel of profile.kernels) { + const ms = Number(kernel.kernelTimeMs) || 0; + if (kernels[kernel.name]) + kernels[kernel.name] += ms; + else + kernels[kernel.name] = ms; + total += ms; + } + const kernelArr = []; + Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1], perc: 0 })); + for (const kernel of kernelArr) { + kernel.perc = Math.round(1e3 * kernel.time / total) / 1e3; + kernel.time = Math.round(1e3 * kernel.time) / 1e3; + } + kernelArr.sort((a, b) => b.time - a.time); + kernelArr.length = 20; + return kernelArr; + } + /** Main detection method + * - Analyze configuration: {@link Config} + * - Pre-process input: {@link Input} + * - Run inference for all configured models + * - Process and return result: {@link Result} + * + * @param input - {@link Input} + * @param userConfig - {@link Config} + * @returns result - {@link Result} + */ + async detect(input, userConfig) { + this.state = "detect"; + return new Promise(async (resolve) => { + var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u; + this.state = "config"; + let timeStamp; + this.config = mergeDeep(this.config, userConfig); + this.state = "check"; + const error = __privateGet(this, _sanity).call(this, input); + if (error) { + log(error, input); + this.emit("error"); + resolve(empty(error)); + } + const timeStart = now(); + await this.load(); + timeStamp = now(); + this.state = "image"; + const img = await process2(input, this.config); + this.process = img; + this.performance.inputProcess = this.env.perfadd ? (this.performance.inputProcess || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Get Image:"); + if (!img.tensor) { + if (this.config.debug) + log("could not convert input to tensor"); + this.emit("error"); + resolve(empty("could not convert input to tensor")); + return; + } + this.emit("image"); + timeStamp = now(); + this.config.skipAllowed = await skip(this.config, img.tensor); + this.config.filter.autoBrightness = (this.config.filter.autoBrightness || false) && this.config.skipAllowed; + if (!this.performance.totalFrames) + this.performance.totalFrames = 0; + if (!this.performance.cachedFrames) + this.performance.cachedFrames = 0; + this.performance.totalFrames++; + if (this.config.skipAllowed) + this.performance.cachedFrames++; + this.performance.cacheCheck = this.env.perfadd ? (this.performance.cacheCheck || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + this.analyze("Check Changed:"); + let faceRes = []; + let bodyRes = []; + let handRes = []; + let objectRes = []; + this.state = "detect:face"; + if (this.config.async) { + faceRes = this.config.face.enabled ? detectFace(this, img.tensor) : []; + if (this.performance.face) + delete this.performance.face; + } else { + timeStamp = now(); + faceRes = this.config.face.enabled ? await detectFace(this, img.tensor) : []; + this.performance.face = this.env.perfadd ? (this.performance.face || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + if (this.config.async && (this.config.body.maxDetected === -1 || this.config.hand.maxDetected === -1)) + faceRes = await faceRes; + this.analyze("Start Body:"); + this.state = "detect:body"; + const bodyConfig = this.config.body.maxDetected === -1 ? mergeDeep(this.config, { body: { maxDetected: this.config.face.enabled ? 1 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_a = this.config.body.modelPath) == null ? void 0 : _a.includes("posenet")) + bodyRes = this.config.body.enabled ? predict19(img.tensor, bodyConfig) : []; + else if ((_b = this.config.body.modelPath) == null ? void 0 : _b.includes("blazepose")) + bodyRes = this.config.body.enabled ? predict(img.tensor, bodyConfig) : []; + else if ((_c = this.config.body.modelPath) == null ? void 0 : _c.includes("efficientpose")) + bodyRes = this.config.body.enabled ? predict3(img.tensor, bodyConfig) : []; + else if ((_d = this.config.body.modelPath) == null ? void 0 : _d.includes("movenet")) + bodyRes = this.config.body.enabled ? predict17(img.tensor, bodyConfig) : []; + if (this.performance.body) + delete this.performance.body; + } else { + timeStamp = now(); + if ((_e = this.config.body.modelPath) == null ? void 0 : _e.includes("posenet")) + bodyRes = this.config.body.enabled ? await predict19(img.tensor, bodyConfig) : []; + else if ((_f = this.config.body.modelPath) == null ? void 0 : _f.includes("blazepose")) + bodyRes = this.config.body.enabled ? await predict(img.tensor, bodyConfig) : []; + else if ((_g = this.config.body.modelPath) == null ? void 0 : _g.includes("efficientpose")) + bodyRes = this.config.body.enabled ? await predict3(img.tensor, bodyConfig) : []; + else if ((_h = this.config.body.modelPath) == null ? void 0 : _h.includes("movenet")) + bodyRes = this.config.body.enabled ? await predict17(img.tensor, bodyConfig) : []; + this.performance.body = this.env.perfadd ? (this.performance.body || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Body:"); + this.analyze("Start Hand:"); + this.state = "detect:hand"; + const handConfig = this.config.hand.maxDetected === -1 ? mergeDeep(this.config, { hand: { maxDetected: this.config.face.enabled ? 2 * faceRes.length : 1 } }) : this.config; + if (this.config.async) { + if ((_j = (_i = this.config.hand.detector) == null ? void 0 : _i.modelPath) == null ? void 0 : _j.includes("handdetect")) + handRes = this.config.hand.enabled ? predict14(img.tensor, handConfig) : []; + else if ((_l = (_k = this.config.hand.detector) == null ? void 0 : _k.modelPath) == null ? void 0 : _l.includes("handtrack")) + handRes = this.config.hand.enabled ? predict15(img.tensor, handConfig) : []; + if (this.performance.hand) + delete this.performance.hand; + } else { + timeStamp = now(); + if ((_n = (_m = this.config.hand.detector) == null ? void 0 : _m.modelPath) == null ? void 0 : _n.includes("handdetect")) + handRes = this.config.hand.enabled ? await predict14(img.tensor, handConfig) : []; + else if ((_p = (_o = this.config.hand.detector) == null ? void 0 : _o.modelPath) == null ? void 0 : _p.includes("handtrack")) + handRes = this.config.hand.enabled ? await predict15(img.tensor, handConfig) : []; + this.performance.hand = this.env.perfadd ? (this.performance.hand || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Hand:"); + this.analyze("Start Object:"); + this.state = "detect:object"; + if (this.config.async) { + if ((_q = this.config.object.modelPath) == null ? void 0 : _q.includes("nanodet")) + objectRes = this.config.object.enabled ? predict18(img.tensor, this.config) : []; + else if ((_r = this.config.object.modelPath) == null ? void 0 : _r.includes("centernet")) + objectRes = this.config.object.enabled ? predict2(img.tensor, this.config) : []; + if (this.performance.object) + delete this.performance.object; + } else { + timeStamp = now(); + if ((_s = this.config.object.modelPath) == null ? void 0 : _s.includes("nanodet")) + objectRes = this.config.object.enabled ? await predict18(img.tensor, this.config) : []; + else if ((_t = this.config.object.modelPath) == null ? void 0 : _t.includes("centernet")) + objectRes = this.config.object.enabled ? await predict2(img.tensor, this.config) : []; + this.performance.object = this.env.perfadd ? (this.performance.object || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + } + this.analyze("End Object:"); + this.state = "detect:await"; + if (this.config.async) + [faceRes, bodyRes, handRes, objectRes] = await Promise.all([faceRes, bodyRes, handRes, objectRes]); + this.state = "detect:gesture"; + let gestureRes = []; + if (this.config.gesture.enabled) { + timeStamp = now(); + gestureRes = [...face2(faceRes), ...body2(bodyRes), ...hand2(handRes), ...iris2(faceRes)]; + if (!this.config.async) + this.performance.gesture = this.env.perfadd ? (this.performance.gesture || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp); + else if (this.performance.gesture) + delete this.performance.gesture; + } + this.performance.total = this.env.perfadd ? (this.performance.total || 0) + Math.trunc(now() - timeStart) : Math.trunc(now() - timeStart); + const shape = ((_u = this.process.tensor) == null ? void 0 : _u.shape) || [0, 0, 0, 0]; + this.result = { + face: faceRes, + body: bodyRes, + hand: handRes, + gesture: gestureRes, + object: objectRes, + performance: this.performance, + canvas: this.process.canvas, + timestamp: Date.now(), + error: null, + width: shape[2], + height: shape[1], + get persons() { + return join2(faceRes, bodyRes, handRes, gestureRes, shape); + } + }; + tf38.dispose(img.tensor); + this.emit("detect"); + this.state = "idle"; + resolve(this.result); + }); + } + /** Helper function + * @param ms - sleep time in miliseconds + */ + async sleep(ms) { + return new Promise((resolve) => { + setTimeout(resolve, ms); + }); + } + /** Continously detect video frames + * @param element - HTMLVideoElement input + * @param run - boolean run continously or stop if already running, default true + * @param delay - number delay detection between frames for number of miliseconds, default 0 + */ + async video(element, run = true, delay = 0) { + if (run) { + if (!__privateGet(this, _loops)[element.id]) { + if (this.config.debug) + log("video start", element.id); + __privateGet(this, _loops)[element.id] = true; + } + if (!element.paused && __privateGet(this, _loops)[element.id] && element.readyState >= 2) + await this.detect(element); + if (delay > 0) + await this.sleep(delay); + if (__privateGet(this, _loops)[element.id]) + requestAnimationFrame(() => this.video(element, run, delay)); + } else { + if (this.config.debug) + log("video stop", element.id); + __privateGet(this, _loops)[element.id] = false; + } + } +}; +_numTensors = new WeakMap(); +_analyzeMemoryLeaks = new WeakMap(); +_checkSanity = new WeakMap(); +_sanity = new WeakMap(); +_loops = new WeakMap(); +// Annotate the CommonJS export names for ESM import in node: +0 && (module.exports = { + Env, + Human, + defaults, + draw, + empty, + env, + match, + models +}); diff --git a/dist/tfjs.esm.js b/dist/tfjs.esm.js index fa66ca37..b1b818ba 100644 --- a/dist/tfjs.esm.js +++ b/dist/tfjs.esm.js @@ -4,57 +4,57 @@ author: ' */ -var PV=Object.create;var yb=Object.defineProperty;var MV=Object.getOwnPropertyDescriptor;var LV=Object.getOwnPropertyNames;var BV=Object.getPrototypeOf,VV=Object.prototype.hasOwnProperty;var Kt=(r,e)=>()=>(e||r((e={exports:{}}).exports,e),e.exports),Ge=(r,e)=>{for(var t in e)yb(r,t,{get:e[t],enumerable:!0})},zV=(r,e,t,o)=>{if(e&&typeof e=="object"||typeof e=="function")for(let n of LV(e))!VV.call(r,n)&&n!==t&&yb(r,n,{get:()=>e[n],enumerable:!(o=MV(e,n))||o.enumerable});return r};var ap=(r,e,t)=>(t=r!=null?PV(BV(r)):{},zV(e||!r||!r.__esModule?yb(t,"default",{value:r,enumerable:!0}):t,r));var i0=Kt((Sse,a0)=>{a0.exports=It;var yo=null;try{yo=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function It(r,e,t){this.low=r|0,this.high=e|0,this.unsigned=!!t}It.prototype.__isLong__;Object.defineProperty(It.prototype,"__isLong__",{value:!0});function Mr(r){return(r&&r.__isLong__)===!0}It.isLong=Mr;var QI={},ZI={};function eu(r,e){var t,o,n;return e?(r>>>=0,(n=0<=r&&r<256)&&(o=ZI[r],o)?o:(t=vt(r,(r|0)<0?-1:0,!0),n&&(ZI[r]=t),t)):(r|=0,(n=-128<=r&&r<128)&&(o=QI[r],o)?o:(t=vt(r,r<0?-1:0,!1),n&&(QI[r]=t),t))}It.fromInt=eu;function bo(r,e){if(isNaN(r))return e?Ji:Co;if(e){if(r<0)return Ji;if(r>=r0)return s0}else{if(r<=-e0)return Pr;if(r+1>=e0)return n0}return r<0?bo(-r,e).neg():vt(r%Ep|0,r/Ep|0,e)}It.fromNumber=bo;function vt(r,e,t){return new It(r,e,t)}It.fromBits=vt;var Dm=Math.pow;function Db(r,e,t){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return Co;if(typeof e=="number"?(t=e,e=!1):e=!!e,t=t||10,t<2||360)throw Error("interior hyphen");if(o===0)return Db(r.substring(1),e,t).neg();for(var n=bo(Dm(t,8)),s=Co,a=0;a>>0:this.low};de.toNumber=function(){return this.unsigned?(this.high>>>0)*Ep+(this.low>>>0):this.high*Ep+(this.low>>>0)};de.toString=function(e){if(e=e||10,e<2||36>>0,c=u.toString(e);if(a=p,a.isZero())return c+i;for(;c.length<6;)c="0"+c;i=""+c+i}};de.getHighBits=function(){return this.high};de.getHighBitsUnsigned=function(){return this.high>>>0};de.getLowBits=function(){return this.low};de.getLowBitsUnsigned=function(){return this.low>>>0};de.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Pr)?64:this.neg().getNumBitsAbs();for(var e=this.high!=0?this.high:this.low,t=31;t>0&&!(e&1<=0};de.isOdd=function(){return(this.low&1)===1};de.isEven=function(){return(this.low&1)===0};de.equals=function(e){return Mr(e)||(e=rs(e)),this.unsigned!==e.unsigned&&this.high>>>31===1&&e.high>>>31===1?!1:this.high===e.high&&this.low===e.low};de.eq=de.equals;de.notEquals=function(e){return!this.eq(e)};de.neq=de.notEquals;de.ne=de.notEquals;de.lessThan=function(e){return this.comp(e)<0};de.lt=de.lessThan;de.lessThanOrEqual=function(e){return this.comp(e)<=0};de.lte=de.lessThanOrEqual;de.le=de.lessThanOrEqual;de.greaterThan=function(e){return this.comp(e)>0};de.gt=de.greaterThan;de.greaterThanOrEqual=function(e){return this.comp(e)>=0};de.gte=de.greaterThanOrEqual;de.ge=de.greaterThanOrEqual;de.compare=function(e){if(Mr(e)||(e=rs(e)),this.eq(e))return 0;var t=this.isNegative(),o=e.isNegative();return t&&!o?-1:!t&&o?1:this.unsigned?e.high>>>0>this.high>>>0||e.high===this.high&&e.low>>>0>this.low>>>0?-1:1:this.sub(e).isNegative()?-1:1};de.comp=de.compare;de.negate=function(){return!this.unsigned&&this.eq(Pr)?Pr:this.not().add($p)};de.neg=de.negate;de.add=function(e){Mr(e)||(e=rs(e));var t=this.high>>>16,o=this.high&65535,n=this.low>>>16,s=this.low&65535,a=e.high>>>16,i=e.high&65535,p=e.low>>>16,u=e.low&65535,c=0,l=0,m=0,d=0;return d+=s+u,m+=d>>>16,d&=65535,m+=n+p,l+=m>>>16,m&=65535,l+=o+i,c+=l>>>16,l&=65535,c+=t+a,c&=65535,vt(m<<16|d,c<<16|l,this.unsigned)};de.subtract=function(e){return Mr(e)||(e=rs(e)),this.add(e.neg())};de.sub=de.subtract;de.multiply=function(e){if(this.isZero())return Co;if(Mr(e)||(e=rs(e)),yo){var t=yo.mul(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}if(e.isZero())return Co;if(this.eq(Pr))return e.isOdd()?Pr:Co;if(e.eq(Pr))return this.isOdd()?Pr:Co;if(this.isNegative())return e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(t0)&&e.lt(t0))return bo(this.toNumber()*e.toNumber(),this.unsigned);var o=this.high>>>16,n=this.high&65535,s=this.low>>>16,a=this.low&65535,i=e.high>>>16,p=e.high&65535,u=e.low>>>16,c=e.low&65535,l=0,m=0,d=0,f=0;return f+=a*c,d+=f>>>16,f&=65535,d+=s*c,m+=d>>>16,d&=65535,d+=a*u,m+=d>>>16,d&=65535,m+=n*c,l+=m>>>16,m&=65535,m+=s*u,l+=m>>>16,m&=65535,m+=a*p,l+=m>>>16,m&=65535,l+=o*c+n*u+s*p+a*i,l&=65535,vt(d<<16|f,l<<16|m,this.unsigned)};de.mul=de.multiply;de.divide=function(e){if(Mr(e)||(e=rs(e)),e.isZero())throw Error("division by zero");if(yo){if(!this.unsigned&&this.high===-2147483648&&e.low===-1&&e.high===-1)return this;var t=(this.unsigned?yo.div_u:yo.div_s)(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Ji:Co;var o,n,s;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return Ji;if(e.gt(this.shru(1)))return o0;s=Ji}else{if(this.eq(Pr)){if(e.eq($p)||e.eq(Rb))return Pr;if(e.eq(Pr))return $p;var a=this.shr(1);return o=a.div(e).shl(1),o.eq(Co)?e.isNegative()?$p:Rb:(n=this.sub(e.mul(o)),s=o.add(n.div(e)),s)}else if(e.eq(Pr))return this.unsigned?Ji:Co;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();s=Co}for(n=this;n.gte(e);){o=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var i=Math.ceil(Math.log(o)/Math.LN2),p=i<=48?1:Dm(2,i-48),u=bo(o),c=u.mul(e);c.isNegative()||c.gt(n);)o-=p,u=bo(o,this.unsigned),c=u.mul(e);u.isZero()&&(u=$p),s=s.add(u),n=n.sub(c)}return s};de.div=de.divide;de.modulo=function(e){if(Mr(e)||(e=rs(e)),yo){var t=(this.unsigned?yo.rem_u:yo.rem_s)(this.low,this.high,e.low,e.high);return vt(t,yo.get_high(),this.unsigned)}return this.sub(this.div(e).mul(e))};de.mod=de.modulo;de.rem=de.modulo;de.not=function(){return vt(~this.low,~this.high,this.unsigned)};de.and=function(e){return Mr(e)||(e=rs(e)),vt(this.low&e.low,this.high&e.high,this.unsigned)};de.or=function(e){return Mr(e)||(e=rs(e)),vt(this.low|e.low,this.high|e.high,this.unsigned)};de.xor=function(e){return Mr(e)||(e=rs(e)),vt(this.low^e.low,this.high^e.high,this.unsigned)};de.shiftLeft=function(e){return Mr(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?vt(this.low<>>32-e,this.unsigned):vt(0,this.low<>>e|this.high<<32-e,this.high>>e,this.unsigned):vt(this.high>>e-32,this.high>=0?0:-1,this.unsigned)};de.shr=de.shiftRight;de.shiftRightUnsigned=function(e){if(Mr(e)&&(e=e.toInt()),e&=63,e===0)return this;var t=this.high;if(e<32){var o=this.low;return vt(o>>>e|t<<32-e,t>>>e,this.unsigned)}else return e===32?vt(t,0,this.unsigned):vt(t>>>e-32,0,this.unsigned)};de.shru=de.shiftRightUnsigned;de.shr_u=de.shiftRightUnsigned;de.toSigned=function(){return this.unsigned?vt(this.low,this.high,!1):this};de.toUnsigned=function(){return this.unsigned?this:vt(this.low,this.high,!0)};de.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()};de.toBytesLE=function(){var e=this.high,t=this.low;return[t&255,t>>>8&255,t>>>16&255,t>>>24,e&255,e>>>8&255,e>>>16&255,e>>>24]};de.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,e&255,t>>>24,t>>>16&255,t>>>8&255,t&255]};It.fromBytes=function(e,t,o){return o?It.fromBytesLE(e,t):It.fromBytesBE(e,t)};It.fromBytesLE=function(e,t){return new It(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)};It.fromBytesBE=function(e,t){return new It(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)}});var W0=Kt(()=>{});var U0=Kt(()=>{});var gk=Kt((hk,cC)=>{(function(r,e,t){function o(i){var p=this,u=a();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=u(" "),p.s1=u(" "),p.s2=u(" "),p.s0-=u(i),p.s0<0&&(p.s0+=1),p.s1-=u(i),p.s1<0&&(p.s1+=1),p.s2-=u(i),p.s2<0&&(p.s2+=1),u=null}function n(i,p){return p.c=i.c,p.s0=i.s0,p.s1=i.s1,p.s2=i.s2,p}function s(i,p){var u=new o(i),c=p&&p.state,l=u.next;return l.int32=function(){return u.next()*4294967296|0},l.double=function(){return l()+(l()*2097152|0)*11102230246251565e-32},l.quick=l,c&&(typeof c=="object"&&n(c,u),l.state=function(){return n(u,{})}),l}function a(){var i=4022871197,p=function(u){u=String(u);for(var c=0;c>>0,l-=i,l*=i,i=l>>>0,l-=i,i+=l*4294967296}return(i>>>0)*23283064365386963e-26};return p}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.alea=s})(hk,typeof cC=="object"&&cC,typeof define=="function"&&define)});var yk=Kt((xk,lC)=>{(function(r,e,t){function o(a){var i=this,p="";i.x=0,i.y=0,i.z=0,i.w=0,i.next=function(){var c=i.x^i.x<<11;return i.x=i.y,i.y=i.z,i.z=i.w,i.w^=i.w>>>19^c^c>>>8},a===(a|0)?i.x=a:p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor128=s})(xk,typeof lC=="object"&&lC,typeof define=="function"&&define)});var Ck=Kt((bk,mC)=>{(function(r,e,t){function o(a){var i=this,p="";i.next=function(){var c=i.x^i.x>>>2;return i.x=i.y,i.y=i.z,i.z=i.w,i.w=i.v,(i.d=i.d+362437|0)+(i.v=i.v^i.v<<4^(c^c<<1))|0},i.x=0,i.y=0,i.z=0,i.w=0,i.v=0,a===(a|0)?i.x=a:p+=a;for(var u=0;u>>4),i.next()}function n(a,i){return i.x=a.x,i.y=a.y,i.z=a.z,i.w=a.w,i.v=a.v,i.d=a.d,i}function s(a,i){var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorwow=s})(bk,typeof mC=="object"&&mC,typeof define=="function"&&define)});var wk=Kt((Sk,dC)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.x,c=i.i,l,m,d;return l=u[c],l^=l>>>7,m=l^l<<24,l=u[c+1&7],m^=l^l>>>10,l=u[c+3&7],m^=l^l>>>3,l=u[c+4&7],m^=l^l<<7,l=u[c+7&7],l=l^l<<13,m^=l^l<<9,u[c]=m,i.i=c+1&7,m};function p(u,c){var l,m,d=[];if(c===(c|0))m=d[0]=c;else for(c=""+c,l=0;l0;--l)u.next()}p(i,a)}function n(a,i){return i.x=a.x.slice(),i.i=a.i,i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.x&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorshift7=s})(Sk,typeof dC=="object"&&dC,typeof define=="function"&&define)});var vk=Kt((Ik,fC)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.w,c=i.X,l=i.i,m,d;return i.w=u=u+1640531527|0,d=c[l+34&127],m=c[l=l+1&127],d^=d<<13,m^=m<<17,d^=d>>>15,m^=m>>>12,d=c[l]=d^m,i.i=l,d+(u^u>>>16)|0};function p(u,c){var l,m,d,f,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),d=0,f=-32;f>>15,m^=m<<4,m^=m>>>13,f>=0&&(h=h+1640531527|0,l=g[f&127]^=m+h,d=l==0?d+1:0);for(d>=128&&(g[(c&&c.length||0)&127]=-1),d=127,f=4*128;f>0;--f)m=g[d+34&127],l=g[d=d+1&127],m^=m<<13,l^=l<<17,m^=m>>>15,l^=l>>>12,g[d]=m^l;u.w=h,u.X=g,u.i=d}p(i,a)}function n(a,i){return i.i=a.i,i.w=a.w,i.X=a.X.slice(),i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.X&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor4096=s})(Ik,typeof fC=="object"&&fC,typeof define=="function"&&define)});var Nk=Kt((kk,hC)=>{(function(r,e,t){function o(a){var i=this,p="";i.next=function(){var c=i.b,l=i.c,m=i.d,d=i.a;return c=c<<25^c>>>7^l,l=l-m|0,m=m<<24^m>>>8^d,d=d-c|0,i.b=c=c<<20^c>>>12^l,i.c=l=l-m|0,i.d=m<<16^l>>>16^d,i.a=d-c|0},i.a=0,i.b=0,i.c=-1640531527,i.d=1367130551,a===Math.floor(a)?(i.a=a/4294967296|0,i.b=a|0):p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.tychei=s})(kk,typeof hC=="object"&&hC,typeof define=="function"&&define)});var Tk=Kt(()=>{});var $k=Kt((_k,yd)=>{(function(r,e,t){var o=256,n=6,s=52,a="random",i=t.pow(o,n),p=t.pow(2,s),u=p*2,c=o-1,l;function m(C,w,k){var _=[];w=w==!0?{entropy:!0}:w||{};var E=g(h(w.entropy?[C,b(e)]:C==null?x():C,3),_),A=new d(_),R=function(){for(var D=A.g(n),P=i,M=0;D=u;)D/=2,P/=2,M>>>=1;return(D+M)/P};return R.int32=function(){return A.g(4)|0},R.quick=function(){return A.g(4)/4294967296},R.double=R,g(b(A.S),e),(w.pass||k||function(D,P,M,L){return L&&(L.S&&f(L,A),D.state=function(){return f(A,{})}),M?(t[a]=D,P):D})(R,E,"global"in w?w.global:this==t,w.state)}function d(C){var w,k=C.length,_=this,E=0,A=_.i=_.j=0,R=_.S=[];for(k||(C=[k++]);E{var P4=gk(),M4=yk(),L4=Ck(),B4=wk(),V4=vk(),z4=Nk(),lu=$k();lu.alea=P4;lu.xor128=M4;lu.xorwow=L4;lu.xorshift7=B4;lu.xor4096=V4;lu.tychei=z4;Ek.exports=lu});var oI=Kt(()=>{});var nI=Kt(()=>{});var x3=Kt(()=>{});var y3=Kt(()=>{});var b3=Kt(()=>{});var C3=Kt((wg,aI)=>{var sI=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(e){e=e||{};function t(){return te.buffer!=ze&&Nt(te.buffer),ct}function o(){return te.buffer!=ze&&Nt(te.buffer),at}function n(){return te.buffer!=ze&&Nt(te.buffer),ft}function s(){return te.buffer!=ze&&Nt(te.buffer),Rr}function a(){return te.buffer!=ze&&Nt(te.buffer),Pt}function i(){return te.buffer!=ze&&Nt(te.buffer),qr}function p(){return te.buffer!=ze&&Nt(te.buffer),er}var u=typeof e!="undefined"?e:{},c,l;u.ready=new Promise(function(F,B){c=F,l=B});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var d=Object.assign({},u),f=[],h="./this.program",g=(F,B)=>{throw B},x=typeof window=="object",b=typeof importScripts=="function",C=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",w=u.ENVIRONMENT_IS_PTHREAD||!1,k="";function _(F){return u.locateFile?u.locateFile(F,k):k+F}var E,A,R,D;function P(F){if(F instanceof qi)return;K("exiting due to exception: "+F)}if(C){var M=oI(),L=nI();b?k=L.dirname(k)+"/":k=__dirname+"/",E=(B,ue)=>(B=ep(B)?new URL(B):L.normalize(B),M.readFileSync(B,ue?void 0:"utf8")),R=B=>{var ue=E(B,!0);return ue.buffer||(ue=new Uint8Array(ue)),ue},A=(B,ue,_e)=>{B=ep(B)?new URL(B):L.normalize(B),M.readFile(B,function(Me,Pe){Me?_e(Me):ue(Pe.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),f=process.argv.slice(2),process.on("uncaughtException",function(B){if(!(B instanceof qi))throw B}),process.on("unhandledRejection",function(B){throw B}),g=(B,ue)=>{if(Do())throw process.exitCode=B,ue;P(ue),process.exit(B)},u.inspect=function(){return"[Emscripten Module object]"};let F;try{F=x3()}catch(B){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),B}global.Worker=F.Worker}else(x||b)&&(b?k=self.location.href:typeof document!="undefined"&&document.currentScript&&(k=document.currentScript.src),typeof r!="undefined"&&r&&(k=r),k.indexOf("blob:")!==0?k=k.substr(0,k.replace(/[?#].*/,"").lastIndexOf("/")+1):k="",C||(E=F=>{var B=new XMLHttpRequest;return B.open("GET",F,!1),B.send(null),B.responseText},b&&(R=F=>{var B=new XMLHttpRequest;return B.open("GET",F,!1),B.responseType="arraybuffer",B.send(null),new Uint8Array(B.response)}),A=(F,B,ue)=>{var _e=new XMLHttpRequest;_e.open("GET",F,!0),_e.responseType="arraybuffer",_e.onload=()=>{if(_e.status==200||_e.status==0&&_e.response){B(_e.response);return}ue()},_e.onerror=ue,_e.send(null)}),D=F=>document.title=F);C&&typeof performance=="undefined"&&(global.performance=y3().performance);var V=console.log.bind(console),z=console.warn.bind(console);C&&(V=F=>M.writeSync(1,F+` -`),z=F=>M.writeSync(2,F+` -`));var U=u.print||V,K=u.printErr||z;Object.assign(u,d),d=null,u.arguments&&(f=u.arguments),u.thisProgram&&(h=u.thisProgram),u.quit&&(g=u.quit);var H=4,q=Atomics.load,Z=Atomics.store,ee=Atomics.compareExchange,oe;u.wasmBinary&&(oe=u.wasmBinary);var J=u.noExitRuntime||!0;typeof WebAssembly!="object"&&Ki("no native wasm support detected");var te,ie,ce=!1,ye;function Ne(F,B){F||Ki(B)}var Ie=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Ae(F,B,ue){for(var _e=B+ue,Me=B;F[Me]&&!(Me>=_e);)++Me;if(Me-B>16&&F.buffer&&Ie)return Ie.decode(F.buffer instanceof SharedArrayBuffer?F.slice(B,Me):F.subarray(B,Me));for(var Pe="";B>10,56320|Qr&1023)}}return Pe}function Re(F,B){return F?Ae(o(),F,B):""}function ot(F,B,ue,_e){if(!(_e>0))return 0;for(var Me=ue,Pe=ue+_e-1,fe=0;fe=55296&&ve<=57343){var Ft=F.charCodeAt(++fe);ve=65536+((ve&1023)<<10)|Ft&1023}if(ve<=127){if(ue>=Pe)break;B[ue++]=ve}else if(ve<=2047){if(ue+1>=Pe)break;B[ue++]=192|ve>>6,B[ue++]=128|ve&63}else if(ve<=65535){if(ue+2>=Pe)break;B[ue++]=224|ve>>12,B[ue++]=128|ve>>6&63,B[ue++]=128|ve&63}else{if(ue+3>=Pe)break;B[ue++]=240|ve>>18,B[ue++]=128|ve>>12&63,B[ue++]=128|ve>>6&63,B[ue++]=128|ve&63}}return B[ue]=0,ue-Me}function pt(F,B,ue){return ot(F,o(),B,ue)}var ze,ct,at,ft,ht,Rr,Pt,qr,er;w&&(ze=u.buffer);function Nt(F){ze=F,u.HEAP8=ct=new Int8Array(F),u.HEAP16=ft=new Int16Array(F),u.HEAP32=Rr=new Int32Array(F),u.HEAPU8=at=new Uint8Array(F),u.HEAPU16=ht=new Uint16Array(F),u.HEAPU32=Pt=new Uint32Array(F),u.HEAPF32=qr=new Float32Array(F),u.HEAPF64=er=new Float64Array(F)}var tr=u.INITIAL_MEMORY||16777216;if(w)te=u.wasmMemory,ze=u.buffer;else if(u.wasmMemory)te=u.wasmMemory;else if(te=new WebAssembly.Memory({initial:tr/65536,maximum:32768,shared:!0}),!(te.buffer instanceof SharedArrayBuffer))throw K("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),C&&K("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");te&&(ze=te.buffer),tr=ze.byteLength,Nt(ze);var rr,jr=[],Xr=[],cr=[],ea=!1;function Do(){return J}function hs(){if(u.preRun)for(typeof u.preRun=="function"&&(u.preRun=[u.preRun]);u.preRun.length;)Dc(u.preRun.shift());Pc(jr)}function qt(){ea=!0,!w&&Pc(Xr)}function ta(){if(!w){if(u.postRun)for(typeof u.postRun=="function"&&(u.postRun=[u.postRun]);u.postRun.length;)AI(u.postRun.shift());Pc(cr)}}function Dc(F){jr.unshift(F)}function Fc(F){Xr.unshift(F)}function AI(F){cr.unshift(F)}var Ya=0,Ju=null,ra=null;function Rx(F){Ya++,u.monitorRunDependencies&&u.monitorRunDependencies(Ya)}function Yl(F){if(Ya--,u.monitorRunDependencies&&u.monitorRunDependencies(Ya),Ya==0&&(Ju!==null&&(clearInterval(Ju),Ju=null),ra)){var B=ra;ra=null,B()}}function Ki(F){u.onAbort&&u.onAbort(F),F="Aborted("+F+")",K(F),ce=!0,ye=1,F+=". Build with -sASSERTIONS for more info.";var B=new WebAssembly.RuntimeError(F);throw l(B),B}var Dx="data:application/octet-stream;base64,";function Ql(F){return F.startsWith(Dx)}function ep(F){return F.startsWith("file://")}var lr;lr="tfjs-backend-wasm-threaded-simd.wasm",Ql(lr)||(lr=_(lr));function Zl(F){try{if(F==lr&&oe)return new Uint8Array(oe);if(R)return R(F);throw"both async and sync fetching of the wasm failed"}catch(B){Ki(B)}}function Fx(){if(!oe&&(x||b)){if(typeof fetch=="function"&&!ep(lr))return fetch(lr,{credentials:"same-origin"}).then(function(F){if(!F.ok)throw"failed to load wasm binary file at '"+lr+"'";return F.arrayBuffer()}).catch(function(){return Zl(lr)});if(A)return new Promise(function(F,B){A(lr,function(ue){F(new Uint8Array(ue))},B)})}return Promise.resolve().then(function(){return Zl(lr)})}function Ox(){var F={env:lm,wasi_snapshot_preview1:lm};function B(fe,ve){var Ft=fe.exports;if(u.asm=Ft,Gx(u.asm._emscripten_tls_init),rr=u.asm.__indirect_function_table,Fc(u.asm.__wasm_call_ctors),ie=ve,!w){var Qr=Oe.unusedWorkers.length;Oe.unusedWorkers.forEach(function(na){Oe.loadWasmModuleToWorker(na,function(){--Qr||Yl("wasm-instantiate")})})}}w||Rx("wasm-instantiate");function ue(fe){B(fe.instance,fe.module)}function _e(fe){return Fx().then(function(ve){return WebAssembly.instantiate(ve,F)}).then(function(ve){return ve}).then(fe,function(ve){K("failed to asynchronously prepare wasm: "+ve),Ki(ve)})}function Me(){return!oe&&typeof WebAssembly.instantiateStreaming=="function"&&!Ql(lr)&&!ep(lr)&&!C&&typeof fetch=="function"?fetch(lr,{credentials:"same-origin"}).then(function(fe){var ve=WebAssembly.instantiateStreaming(fe,F);return ve.then(ue,function(Ft){return K("wasm streaming compile failed: "+Ft),K("falling back to ArrayBuffer instantiation"),_e(ue)})}):_e(ue)}if(u.instantiateWasm)try{var Pe=u.instantiateWasm(F,B);return Pe}catch(fe){K("Module.instantiateWasm callback failed with error: "+fe),l(fe)}return Me().catch(l),{}}var RI,DI,Jl={};function qi(F){this.name="ExitStatus",this.message="Program terminated with exit("+F+")",this.status=F}function Px(F){var B=Oe.pthreads[F];delete Oe.pthreads[F],B.terminate(),hb(F),Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(B),1),B.pthread_ptr=0}function Mx(F){var B=Oe.pthreads[F];B.postMessage({cmd:"cancel"})}function Oc(F){var B=Oe.pthreads[F];Ne(B),Oe.returnWorkerToPool(B)}function Lx(F){var B=Oe.getNewWorker();if(!B)return 6;Oe.runningWorkers.push(B),Oe.pthreads[F.pthread_ptr]=B,B.pthread_ptr=F.pthread_ptr;var ue={cmd:"run",start_routine:F.startRoutine,arg:F.arg,pthread_ptr:F.pthread_ptr};return B.runPthread=()=>{C&&B.ref(),B.postMessage(ue,F.transferList),delete B.runPthread},B.loaded&&B.runPthread(),0}var em={varargs:void 0,get:function(){em.varargs+=4;var F=s()[em.varargs-4>>2];return F},getStr:function(F){var B=Re(F);return B}};function tm(F){if(w)return Qa(1,1,F);ye=F,Do()||(Oe.terminateAllThreads(),u.onExit&&u.onExit(F),ce=!0),g(F,new qi(F))}function Bx(F,B){if(ye=F,!B&&w)throw om(F),"unwind";tm(F)}var rm=Bx;function Vx(F){if(F instanceof qi||F=="unwind")return ye;g(1,F)}var Oe={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){w?Oe.initWorker():Oe.initMainThread()},initMainThread:function(){for(var F=8;F--;)Oe.allocateUnusedWorker()},initWorker:function(){J=!1},setExitStatus:function(F){ye=F},terminateAllThreads:function(){for(var F of Object.values(Oe.pthreads))Oe.returnWorkerToPool(F);for(var F of Oe.unusedWorkers)F.terminate();Oe.unusedWorkers=[]},returnWorkerToPool:function(F){var B=F.pthread_ptr;delete Oe.pthreads[B],Oe.unusedWorkers.push(F),Oe.runningWorkers.splice(Oe.runningWorkers.indexOf(F),1),F.pthread_ptr=0,C&&F.unref(),hb(B)},receiveObjectTransfer:function(F){},threadInitTLS:function(){Oe.tlsInitFunctions.forEach(F=>F())},loadWasmModuleToWorker:function(F,B){F.onmessage=Pe=>{var fe=Pe.data,ve=fe.cmd;if(F.pthread_ptr&&(Oe.currentProxiedOperationCallerThread=F.pthread_ptr),fe.targetThread&&fe.targetThread!=xm()){var Ft=Oe.pthreads[fe.targetThread];Ft?Ft.postMessage(fe,fe.transferList):K('Internal error! Worker sent a message "'+ve+'" to target pthread '+fe.targetThread+", but that thread no longer exists!"),Oe.currentProxiedOperationCallerThread=void 0;return}ve==="processProxyingQueue"?Mc(fe.queue):ve==="spawnThread"?Lx(fe):ve==="cleanupThread"?Oc(fe.thread):ve==="killThread"?Px(fe.thread):ve==="cancelThread"?Mx(fe.thread):ve==="loaded"?(F.loaded=!0,C&&F.unref(),B&&B(F),F.runPthread&&F.runPthread()):ve==="print"?U("Thread "+fe.threadId+": "+fe.text):ve==="printErr"?K("Thread "+fe.threadId+": "+fe.text):ve==="alert"?alert("Thread "+fe.threadId+": "+fe.text):fe.target==="setimmediate"?F.postMessage(fe):ve==="callHandler"?u[fe.handler](...fe.args):ve&&K("worker sent an unknown command "+ve),Oe.currentProxiedOperationCallerThread=void 0},F.onerror=Pe=>{var fe="worker sent an error!";throw K(fe+" "+Pe.filename+":"+Pe.lineno+": "+Pe.message),Pe},C&&(F.on("message",function(Pe){F.onmessage({data:Pe})}),F.on("error",function(Pe){F.onerror(Pe)}),F.on("detachedExit",function(){}));var ue=[],_e=["onExit","onAbort","print","printErr"];for(var Me of _e)u.hasOwnProperty(Me)&&ue.push(Me);F.postMessage({cmd:"load",handlers:ue,urlOrBlob:u.mainScriptUrlOrBlob||r,wasmMemory:te,wasmModule:ie})},allocateUnusedWorker:function(){var F,B=_("tfjs-backend-wasm-threaded-simd.worker.js");F=new Worker(B),Oe.unusedWorkers.push(F)},getNewWorker:function(){return Oe.unusedWorkers.length==0&&(Oe.allocateUnusedWorker(),Oe.loadWasmModuleToWorker(Oe.unusedWorkers[0])),Oe.unusedWorkers.pop()}};u.PThread=Oe;function Pc(F){for(;F.length>0;)F.shift()(u)}function zx(){var F=xm(),B=s()[F+52>>2],ue=s()[F+56>>2],_e=B-ue;BI(B,_e),ym(B)}u.establishStackSpace=zx;function om(F){if(w)return Qa(2,0,F);try{rm(F)}catch(B){Vx(B)}}var tp=[];function Wx(F){var B=tp[F];return B||(F>=tp.length&&(tp.length=F+1),tp[F]=B=rr.get(F)),B}function Ux(F,B){var ue=Wx(F)(B);Do()?Oe.setExitStatus(ue):LI(ue)}u.invokeEntryPoint=Ux;function Gx(F){Oe.tlsInitFunctions.push(F)}function Hx(F){OI(F,!b,1,!x),Oe.threadInitTLS()}function Kx(F){w?postMessage({cmd:"cleanupThread",thread:F}):Oc(F)}function nm(F,B,ue,_e){return w?Qa(3,1,F,B,ue,_e):sm(F,B,ue,_e)}function sm(F,B,ue,_e){if(typeof SharedArrayBuffer=="undefined")return K("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Me=[],Pe=0;if(w&&(Me.length===0||Pe))return nm(F,B,ue,_e);if(Pe)return Pe;var fe={startRoutine:ue,pthread_ptr:F,arg:_e,transferList:Me};return w?(fe.cmd="spawnThread",postMessage(fe,Me),0):Lx(fe)}function qx(){return 65536}var jx=!0;function Xx(){return jx}function Mc(F){Atomics.store(s(),F>>2,1),xm()&&MI(F),Atomics.compareExchange(s(),F>>2,1,0)}u.executeNotifiedProxyingQueue=Mc;function Yx(F,B,ue,_e){if(F==B)setTimeout(()=>Mc(_e));else if(w)postMessage({targetThread:F,cmd:"processProxyingQueue",queue:_e});else{var Me=Oe.pthreads[F];if(!Me)return;Me.postMessage({cmd:"processProxyingQueue",queue:_e})}return 1}function Qx(F,B,ue){return-1}function Zx(){Ki("")}function ji(F){ji.shown||(ji.shown={}),ji.shown[F]||(ji.shown[F]=1,C&&(F="warning: "+F),K(F))}function Jx(){C||b||ji("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function ey(){return Date.now()}function am(){return 2147483648}function ty(){return am()}var Lc;C?Lc=()=>{var F=process.hrtime();return F[0]*1e3+F[1]/1e6}:Lc=()=>performance.timeOrigin+performance.now();function ry(F,B,ue){o().copyWithin(F,B,B+ue)}function oy(){return C?b3().cpus().length:navigator.hardwareConcurrency}function ny(F){var B=gb(),ue=F();return ym(B),ue}function Qa(F,B){var ue=arguments.length-2,_e=arguments;return ny(()=>{for(var Me=ue,Pe=bm(Me*8),fe=Pe>>3,ve=0;ve>3,Me=0;Me>>16),Nt(te.buffer),1}catch(B){}}function iy(F){var B=o().length;if(F=F>>>0,F<=B)return!1;var ue=am();if(F>ue)return!1;let _e=(Ft,Qr)=>Ft+(Qr-Ft%Qr)%Qr;for(var Me=1;Me<=4;Me*=2){var Pe=B*(1+.2/Me);Pe=Math.min(Pe,F+100663296);var fe=Math.min(ue,_e(Math.max(F,Pe),65536)),ve=ay(fe);if(ve)return!0}return!1}function uy(){throw"unwind"}function im(F){return w?Qa(4,1,F):52}function um(F,B,ue,_e,Me){return w?Qa(5,1,F,B,ue,_e,Me):70}var py=[null,[],[]];function cy(F,B){var ue=py[F];B===0||B===10?((F===1?U:K)(Ae(ue,0)),ue.length=0):ue.push(B)}function pm(F,B,ue,_e){if(w)return Qa(6,1,F,B,ue,_e);for(var Me=0,Pe=0;Pe>2],ve=a()[B+4>>2];B+=8;for(var Ft=0;Ft>2]=Me,0}function cm(F){var B=u["_"+F];return B}function ly(F,B){t().set(F,B)}function my(F,B,ue,_e,Me){var Pe={string:Dr=>{var sp=0;if(Dr!=null&&Dr!==0){var WI=(Dr.length<<2)+1;sp=bm(WI),pt(Dr,sp,WI)}return sp},array:Dr=>{var sp=bm(Dr.length);return ly(Dr,sp),sp}};function fe(Dr){return B==="string"?Re(Dr):B==="boolean"?!!Dr:Dr}var ve=cm(F),Ft=[],Qr=0;if(_e)for(var na=0;na<_e.length;na++){var zI=Pe[ue[na]];zI?(Qr===0&&(Qr=gb()),Ft[na]=zI(_e[na])):Ft[na]=_e[na]}var xb=ve.apply(null,Ft);function OV(Dr){return Qr!==0&&ym(Qr),fe(Dr)}return xb=OV(xb),xb}function dy(F,B,ue,_e){ue=ue||[];var Me=ue.every(fe=>fe==="number"||fe==="boolean"),Pe=B!=="string";return Pe&&Me&&!_e?cm(F):function(){return my(F,B,ue,arguments,_e)}}Oe.init();var fy=[null,tm,om,nm,im,um,pm],lm={__emscripten_init_main_thread_js:Hx,__emscripten_thread_cleanup:Kx,__pthread_create_js:sm,_emscripten_default_pthread_stack_size:qx,_emscripten_get_now_is_monotonic:Xx,_emscripten_notify_task_queue:Yx,_emscripten_set_offscreencanvas_size:Qx,abort:Zx,emscripten_check_blocking_allowed:Jx,emscripten_date_now:ey,emscripten_get_heap_max:ty,emscripten_get_now:Lc,emscripten_memcpy_big:ry,emscripten_num_logical_cores:oy,emscripten_receive_on_main_thread_js:sy,emscripten_resize_heap:iy,emscripten_unwind_to_js_event_loop:uy,exit:rm,fd_close:im,fd_seek:um,fd_write:pm,memory:te||u.wasmMemory},FI=Ox(),hy=u.___wasm_call_ctors=function(){return(hy=u.___wasm_call_ctors=u.asm.__wasm_call_ctors).apply(null,arguments)},gy=u._init=function(){return(gy=u._init=u.asm.init).apply(null,arguments)},xy=u._init_with_threads_count=function(){return(xy=u._init_with_threads_count=u.asm.init_with_threads_count).apply(null,arguments)},yy=u._get_threads_count=function(){return(yy=u._get_threads_count=u.asm.get_threads_count).apply(null,arguments)},by=u._register_tensor=function(){return(by=u._register_tensor=u.asm.register_tensor).apply(null,arguments)},Cy=u._dispose_data=function(){return(Cy=u._dispose_data=u.asm.dispose_data).apply(null,arguments)},Sy=u._dispose=function(){return(Sy=u._dispose=u.asm.dispose).apply(null,arguments)},wy=u._Abs=function(){return(wy=u._Abs=u.asm.Abs).apply(null,arguments)},Iy=u._Add=function(){return(Iy=u._Add=u.asm.Add).apply(null,arguments)},vy=u._AddN=function(){return(vy=u._AddN=u.asm.AddN).apply(null,arguments)},ky=u._All=function(){return(ky=u._All=u.asm.All).apply(null,arguments)},Ny=u._Any=function(){return(Ny=u._Any=u.asm.Any).apply(null,arguments)},Ty=u._ArgMax=function(){return(Ty=u._ArgMax=u.asm.ArgMax).apply(null,arguments)},_y=u._AvgPool=function(){return(_y=u._AvgPool=u.asm.AvgPool).apply(null,arguments)},$y=u._BatchMatMul=function(){return($y=u._BatchMatMul=u.asm.BatchMatMul).apply(null,arguments)},Ey=u._Ceil=function(){return(Ey=u._Ceil=u.asm.Ceil).apply(null,arguments)},Ay=u._ClipByValue=function(){return(Ay=u._ClipByValue=u.asm.ClipByValue).apply(null,arguments)},Ry=u._Conv2D=function(){return(Ry=u._Conv2D=u.asm.Conv2D).apply(null,arguments)},Dy=u._Conv2DBackpropInput=function(){return(Dy=u._Conv2DBackpropInput=u.asm.Conv2DBackpropInput).apply(null,arguments)},Fy=u._Cos=function(){return(Fy=u._Cos=u.asm.Cos).apply(null,arguments)},Oy=u._Cosh=function(){return(Oy=u._Cosh=u.asm.Cosh).apply(null,arguments)},Py=u._CropAndResize=function(){return(Py=u._CropAndResize=u.asm.CropAndResize).apply(null,arguments)},My=u._Cumprod=function(){return(My=u._Cumprod=u.asm.Cumprod).apply(null,arguments)},Ly=u._Cumsum=function(){return(Ly=u._Cumsum=u.asm.Cumsum).apply(null,arguments)},By=u._DepthToSpace=function(){return(By=u._DepthToSpace=u.asm.DepthToSpace).apply(null,arguments)},Vy=u._DepthwiseConv2dNative=function(){return(Vy=u._DepthwiseConv2dNative=u.asm.DepthwiseConv2dNative).apply(null,arguments)},zy=u._Elu=function(){return(zy=u._Elu=u.asm.Elu).apply(null,arguments)},Wy=u._Equal=function(){return(Wy=u._Equal=u.asm.Equal).apply(null,arguments)},Uy=u._Exp=function(){return(Uy=u._Exp=u.asm.Exp).apply(null,arguments)},Gy=u._FlipLeftRight=function(){return(Gy=u._FlipLeftRight=u.asm.FlipLeftRight).apply(null,arguments)},Hy=u._Floor=function(){return(Hy=u._Floor=u.asm.Floor).apply(null,arguments)},Ky=u._FloorDiv=function(){return(Ky=u._FloorDiv=u.asm.FloorDiv).apply(null,arguments)},qy=u._FusedBatchNorm=function(){return(qy=u._FusedBatchNorm=u.asm.FusedBatchNorm).apply(null,arguments)},jy=u._FusedConv2D=function(){return(jy=u._FusedConv2D=u.asm.FusedConv2D).apply(null,arguments)},Xy=u._FusedDepthwiseConv2D=function(){return(Xy=u._FusedDepthwiseConv2D=u.asm.FusedDepthwiseConv2D).apply(null,arguments)},Yy=u._Gather=function(){return(Yy=u._Gather=u.asm.Gather).apply(null,arguments)},Qy=u._GatherNd=function(){return(Qy=u._GatherNd=u.asm.GatherNd).apply(null,arguments)},Zy=u._Greater=function(){return(Zy=u._Greater=u.asm.Greater).apply(null,arguments)},Jy=u._GreaterEqual=function(){return(Jy=u._GreaterEqual=u.asm.GreaterEqual).apply(null,arguments)},eb=u._IsNan=function(){return(eb=u._IsNan=u.asm.IsNan).apply(null,arguments)},tb=u._LeakyRelu=function(){return(tb=u._LeakyRelu=u.asm.LeakyRelu).apply(null,arguments)},rb=u._Less=function(){return(rb=u._Less=u.asm.Less).apply(null,arguments)},ob=u._LessEqual=function(){return(ob=u._LessEqual=u.asm.LessEqual).apply(null,arguments)},nb=u._Log=function(){return(nb=u._Log=u.asm.Log).apply(null,arguments)},sb=u._LogicalAnd=function(){return(sb=u._LogicalAnd=u.asm.LogicalAnd).apply(null,arguments)},ab=u._LogicalNot=function(){return(ab=u._LogicalNot=u.asm.LogicalNot).apply(null,arguments)},ib=u._LogicalOr=function(){return(ib=u._LogicalOr=u.asm.LogicalOr).apply(null,arguments)},ub=u._LogicalXor=function(){return(ub=u._LogicalXor=u.asm.LogicalXor).apply(null,arguments)},pb=u._Max=function(){return(pb=u._Max=u.asm.Max).apply(null,arguments)},cb=u._MaxPool=function(){return(cb=u._MaxPool=u.asm.MaxPool).apply(null,arguments)},mm=u._Maximum=function(){return(mm=u._Maximum=u.asm.Maximum).apply(null,arguments)},dm=u._Mean=function(){return(dm=u._Mean=u.asm.Mean).apply(null,arguments)},Vc=u._Min=function(){return(Vc=u._Min=u.asm.Min).apply(null,arguments)},lb=u._Minimum=function(){return(lb=u._Minimum=u.asm.Minimum).apply(null,arguments)},mb=u._MirrorPad=function(){return(mb=u._MirrorPad=u.asm.MirrorPad).apply(null,arguments)},rp=u._Multiply=function(){return(rp=u._Multiply=u.asm.Multiply).apply(null,arguments)},fm=u._Neg=function(){return(fm=u._Neg=u.asm.Neg).apply(null,arguments)},op=u._NonMaxSuppressionV3=function(){return(op=u._NonMaxSuppressionV3=u.asm.NonMaxSuppressionV3).apply(null,arguments)},np=u._NonMaxSuppressionV4=function(){return(np=u._NonMaxSuppressionV4=u.asm.NonMaxSuppressionV4).apply(null,arguments)},db=u._NonMaxSuppressionV5=function(){return(db=u._NonMaxSuppressionV5=u.asm.NonMaxSuppressionV5).apply(null,arguments)},G=u._NotEqual=function(){return(G=u._NotEqual=u.asm.NotEqual).apply(null,arguments)},se=u._OneHot=function(){return(se=u._OneHot=u.asm.OneHot).apply(null,arguments)},Te=u._PadV2=function(){return(Te=u._PadV2=u.asm.PadV2).apply(null,arguments)},nt=u._Pow=function(){return(nt=u._Pow=u.asm.Pow).apply(null,arguments)},Tt=u._Prelu=function(){return(Tt=u._Prelu=u.asm.Prelu).apply(null,arguments)},_t=u._Prod=function(){return(_t=u._Prod=u.asm.Prod).apply(null,arguments)},qe=u._RealDiv=function(){return(qe=u._RealDiv=u.asm.RealDiv).apply(null,arguments)},Ue=u._Reciprocal=function(){return(Ue=u._Reciprocal=u.asm.Reciprocal).apply(null,arguments)},Wt=u._Relu=function(){return(Wt=u._Relu=u.asm.Relu).apply(null,arguments)},Yr=u._Relu6=function(){return(Yr=u._Relu6=u.asm.Relu6).apply(null,arguments)},oa=u._ResizeBilinear=function(){return(oa=u._ResizeBilinear=u.asm.ResizeBilinear).apply(null,arguments)},hm=u._ResizeNearestNeighbor=function(){return(hm=u._ResizeNearestNeighbor=u.asm.ResizeNearestNeighbor).apply(null,arguments)},zc=u._Reverse=function(){return(zc=u._Reverse=u.asm.Reverse).apply(null,arguments)},fb=u._RotateWithOffset=function(){return(fb=u._RotateWithOffset=u.asm.RotateWithOffset).apply(null,arguments)},hr=u._Round=function(){return(hr=u._Round=u.asm.Round).apply(null,arguments)},Za=u._Rsqrt=function(){return(Za=u._Rsqrt=u.asm.Rsqrt).apply(null,arguments)},gm=u._ScatterNd=function(){return(gm=u._ScatterNd=u.asm.ScatterNd).apply(null,arguments)},oV=u._SelectV2=function(){return(oV=u._SelectV2=u.asm.SelectV2).apply(null,arguments)},nV=u._Sigmoid=function(){return(nV=u._Sigmoid=u.asm.Sigmoid).apply(null,arguments)},sV=u._Sin=function(){return(sV=u._Sin=u.asm.Sin).apply(null,arguments)},aV=u._Softmax=function(){return(aV=u._Softmax=u.asm.Softmax).apply(null,arguments)},iV=u._SparseFillEmptyRows=function(){return(iV=u._SparseFillEmptyRows=u.asm.SparseFillEmptyRows).apply(null,arguments)},uV=u._SparseReshape=function(){return(uV=u._SparseReshape=u.asm.SparseReshape).apply(null,arguments)},pV=u._SparseSegmentReduction=function(){return(pV=u._SparseSegmentReduction=u.asm.SparseSegmentReduction).apply(null,arguments)},cV=u._Sqrt=function(){return(cV=u._Sqrt=u.asm.Sqrt).apply(null,arguments)},lV=u._Square=function(){return(lV=u._Square=u.asm.Square).apply(null,arguments)},mV=u._SquaredDifference=function(){return(mV=u._SquaredDifference=u.asm.SquaredDifference).apply(null,arguments)},dV=u._Step=function(){return(dV=u._Step=u.asm.Step).apply(null,arguments)},fV=u._StridedSlice=function(){return(fV=u._StridedSlice=u.asm.StridedSlice).apply(null,arguments)},hV=u._Sub=function(){return(hV=u._Sub=u.asm.Sub).apply(null,arguments)},gV=u._Sum=function(){return(gV=u._Sum=u.asm.Sum).apply(null,arguments)},xV=u._Tan=function(){return(xV=u._Tan=u.asm.Tan).apply(null,arguments)},yV=u._Tanh=function(){return(yV=u._Tanh=u.asm.Tanh).apply(null,arguments)},bV=u._Tile=function(){return(bV=u._Tile=u.asm.Tile).apply(null,arguments)},CV=u._TopK=function(){return(CV=u._TopK=u.asm.TopK).apply(null,arguments)},SV=u._Transform=function(){return(SV=u._Transform=u.asm.Transform).apply(null,arguments)},wV=u._Transpose=function(){return(wV=u._Transpose=u.asm.Transpose).apply(null,arguments)},IV=u.__FusedMatMul=function(){return(IV=u.__FusedMatMul=u.asm._FusedMatMul).apply(null,arguments)},vV=u._malloc=function(){return(vV=u._malloc=u.asm.malloc).apply(null,arguments)},kV=u._free=function(){return(kV=u._free=u.asm.free).apply(null,arguments)},NV=u.__emscripten_tls_init=function(){return(NV=u.__emscripten_tls_init=u.asm._emscripten_tls_init).apply(null,arguments)},xm=u._pthread_self=function(){return(xm=u._pthread_self=u.asm.pthread_self).apply(null,arguments)},TV=u.___errno_location=function(){return(TV=u.___errno_location=u.asm.__errno_location).apply(null,arguments)},OI=u.__emscripten_thread_init=function(){return(OI=u.__emscripten_thread_init=u.asm._emscripten_thread_init).apply(null,arguments)},_V=u.__emscripten_thread_crashed=function(){return(_V=u.__emscripten_thread_crashed=u.asm._emscripten_thread_crashed).apply(null,arguments)},$V=u._emscripten_main_thread_process_queued_calls=function(){return($V=u._emscripten_main_thread_process_queued_calls=u.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},EV=u._emscripten_main_browser_thread_id=function(){return(EV=u._emscripten_main_browser_thread_id=u.asm.emscripten_main_browser_thread_id).apply(null,arguments)},PI=u._emscripten_run_in_main_runtime_thread_js=function(){return(PI=u._emscripten_run_in_main_runtime_thread_js=u.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},AV=u._emscripten_dispatch_to_thread_=function(){return(AV=u._emscripten_dispatch_to_thread_=u.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},MI=u.__emscripten_proxy_execute_task_queue=function(){return(MI=u.__emscripten_proxy_execute_task_queue=u.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},hb=u.__emscripten_thread_free_data=function(){return(hb=u.__emscripten_thread_free_data=u.asm._emscripten_thread_free_data).apply(null,arguments)},LI=u.__emscripten_thread_exit=function(){return(LI=u.__emscripten_thread_exit=u.asm._emscripten_thread_exit).apply(null,arguments)},BI=u._emscripten_stack_set_limits=function(){return(BI=u._emscripten_stack_set_limits=u.asm.emscripten_stack_set_limits).apply(null,arguments)},gb=u.stackSave=function(){return(gb=u.stackSave=u.asm.stackSave).apply(null,arguments)},ym=u.stackRestore=function(){return(ym=u.stackRestore=u.asm.stackRestore).apply(null,arguments)},bm=u.stackAlloc=function(){return(bm=u.stackAlloc=u.asm.stackAlloc).apply(null,arguments)},RV=u.dynCall_iijjiiii=function(){return(RV=u.dynCall_iijjiiii=u.asm.dynCall_iijjiiii).apply(null,arguments)},DV=u.dynCall_jiji=function(){return(DV=u.dynCall_jiji=u.asm.dynCall_jiji).apply(null,arguments)};u.keepRuntimeAlive=Do,u.wasmMemory=te,u.cwrap=dy,u.ExitStatus=qi,u.PThread=Oe;var Cm;ra=function F(){Cm||VI(),Cm||(ra=F)};function VI(F){if(F=F||f,Ya>0)return;if(w){c(u),qt(),startWorker(u);return}if(hs(),Ya>0)return;function B(){Cm||(Cm=!0,u.calledRun=!0,!ce&&(qt(),c(u),u.onRuntimeInitialized&&u.onRuntimeInitialized(),ta()))}u.setStatus?(u.setStatus("Running..."),setTimeout(function(){setTimeout(function(){u.setStatus("")},1),B()},1)):B()}if(u.preInit)for(typeof u.preInit=="function"&&(u.preInit=[u.preInit]);u.preInit.length>0;)u.preInit.pop()();VI();var Sm;m&&(Sm={uncaughtException:process.listeners("uncaughtException").filter(function(F){return!m.uncaughtException.indexOf(F)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(F){return!m.unhandledRejection.indexOf(F)>-1})});var wm;if(typeof WasmBackendModule!="undefined")wm=WasmBackendModule;else if(typeof e!="undefined")wm=e;else throw new Error("Could not find wasm module in post.js");if(Sm){var FV=wm._dispose;wm._dispose=function(){FV(),Sm.uncaughtException.forEach(function(F){process.removeListener("uncaughtException",F)}),Sm.unhandledRejection.forEach(function(F){process.removeListener("unhandledRejection",F)})}}return e.ready}})();typeof wg=="object"&&typeof aI=="object"?aI.exports=sI:typeof define=="function"&&define.amd?define([],function(){return sI}):typeof wg=="object"&&(wg.WasmBackendModuleThreadedSimd=sI)});var w3=Kt((a1t,S3)=>{S3.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" -");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`});var I3=Kt((Ig,uI)=>{var iI=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(e){e=e||{};var t=typeof e!="undefined"?e:{},o,n;t.ready=new Promise(function(G,se){o=G,n=se});var s;typeof process!="undefined"&&process.listeners&&(s={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var a=Object.assign({},t),i=[],p="./this.program",u=(G,se)=>{throw se},c=typeof window=="object",l=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",d="";function f(G){return t.locateFile?t.locateFile(G,d):d+G}var h,g,x,b;function C(G){if(G instanceof Ju)return;E("exiting due to exception: "+G)}if(m){var w=oI(),k=nI();l?d=k.dirname(d)+"/":d=__dirname+"/",h=(G,se)=>(G=hs(G)?new URL(G):k.normalize(G),w.readFileSync(G,se?void 0:"utf8")),x=G=>{var se=h(G,!0);return se.buffer||(se=new Uint8Array(se)),se},g=(G,se,Te)=>{G=hs(G)?new URL(G):k.normalize(G),w.readFile(G,function(nt,Tt){nt?Te(nt):se(Tt.buffer)})},process.argv.length>1&&(p=process.argv[1].replace(/\\/g,"/")),i=process.argv.slice(2),process.on("uncaughtException",function(G){if(!(G instanceof Ju))throw G}),process.on("unhandledRejection",function(G){throw G}),u=(G,se)=>{if(at())throw process.exitCode=G,se;C(se),process.exit(G)},t.inspect=function(){return"[Emscripten Module object]"}}else(c||l)&&(l?d=self.location.href:typeof document!="undefined"&&document.currentScript&&(d=document.currentScript.src),r&&(d=r),d.indexOf("blob:")!==0?d=d.substr(0,d.replace(/[?#].*/,"").lastIndexOf("/")+1):d="",h=G=>{var se=new XMLHttpRequest;return se.open("GET",G,!1),se.send(null),se.responseText},l&&(x=G=>{var se=new XMLHttpRequest;return se.open("GET",G,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),g=(G,se,Te)=>{var nt=new XMLHttpRequest;nt.open("GET",G,!0),nt.responseType="arraybuffer",nt.onload=()=>{if(nt.status==200||nt.status==0&&nt.response){se(nt.response);return}Te()},nt.onerror=Te,nt.send(null)},b=G=>document.title=G);var _=t.print||console.log.bind(console),E=t.printErr||console.warn.bind(console);Object.assign(t,a),a=null,t.arguments&&(i=t.arguments),t.thisProgram&&(p=t.thisProgram),t.quit&&(u=t.quit);var A=4,R;t.wasmBinary&&(R=t.wasmBinary);var D=t.noExitRuntime||!0;typeof WebAssembly!="object"&&cr("no native wasm support detected");var P,M=!1,L;function V(G,se){G||cr(se)}var z=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function U(G,se,Te){for(var nt=se+Te,Tt=se;G[Tt]&&!(Tt>=nt);)++Tt;if(Tt-se>16&&G.buffer&&z)return z.decode(G.subarray(se,Tt));for(var _t="";se>10,56320|Yr&1023)}}return _t}function K(G,se){return G?U(oe,G,se):""}function H(G,se,Te,nt){if(!(nt>0))return 0;for(var Tt=Te,_t=Te+nt-1,qe=0;qe=55296&&Ue<=57343){var Wt=G.charCodeAt(++qe);Ue=65536+((Ue&1023)<<10)|Wt&1023}if(Ue<=127){if(Te>=_t)break;se[Te++]=Ue}else if(Ue<=2047){if(Te+1>=_t)break;se[Te++]=192|Ue>>6,se[Te++]=128|Ue&63}else if(Ue<=65535){if(Te+2>=_t)break;se[Te++]=224|Ue>>12,se[Te++]=128|Ue>>6&63,se[Te++]=128|Ue&63}else{if(Te+3>=_t)break;se[Te++]=240|Ue>>18,se[Te++]=128|Ue>>12&63,se[Te++]=128|Ue>>6&63,se[Te++]=128|Ue&63}}return se[Te]=0,Te-Tt}function q(G,se,Te){return H(G,oe,se,Te)}var Z,ee,oe,J,te,ie,ce,ye,Ne;function Ie(G){Z=G,t.HEAP8=ee=new Int8Array(G),t.HEAP16=J=new Int16Array(G),t.HEAP32=ie=new Int32Array(G),t.HEAPU8=oe=new Uint8Array(G),t.HEAPU16=te=new Uint16Array(G),t.HEAPU32=ce=new Uint32Array(G),t.HEAPF32=ye=new Float32Array(G),t.HEAPF64=Ne=new Float64Array(G)}var Ae=t.INITIAL_MEMORY||16777216,Re,ot=[],pt=[],ze=[],ct=!1;function at(){return D}function ft(){if(t.preRun)for(typeof t.preRun=="function"&&(t.preRun=[t.preRun]);t.preRun.length;)Pt(t.preRun.shift());ra(ot)}function ht(){ct=!0,ra(pt)}function Rr(){if(t.postRun)for(typeof t.postRun=="function"&&(t.postRun=[t.postRun]);t.postRun.length;)er(t.postRun.shift());ra(ze)}function Pt(G){ot.unshift(G)}function qr(G){pt.unshift(G)}function er(G){ze.unshift(G)}var Nt=0,tr=null,rr=null;function jr(G){Nt++,t.monitorRunDependencies&&t.monitorRunDependencies(Nt)}function Xr(G){if(Nt--,t.monitorRunDependencies&&t.monitorRunDependencies(Nt),Nt==0&&(tr!==null&&(clearInterval(tr),tr=null),rr)){var se=rr;rr=null,se()}}function cr(G){t.onAbort&&t.onAbort(G),G="Aborted("+G+")",E(G),M=!0,L=1,G+=". Build with -sASSERTIONS for more info.";var se=new WebAssembly.RuntimeError(G);throw n(se),se}var ea="data:application/octet-stream;base64,";function Do(G){return G.startsWith(ea)}function hs(G){return G.startsWith("file://")}var qt;qt="tfjs-backend-wasm.wasm",Do(qt)||(qt=f(qt));function ta(G){try{if(G==qt&&R)return new Uint8Array(R);if(x)return x(G);throw"both async and sync fetching of the wasm failed"}catch(se){cr(se)}}function Dc(){if(!R&&(c||l)){if(typeof fetch=="function"&&!hs(qt))return fetch(qt,{credentials:"same-origin"}).then(function(G){if(!G.ok)throw"failed to load wasm binary file at '"+qt+"'";return G.arrayBuffer()}).catch(function(){return ta(qt)});if(g)return new Promise(function(G,se){g(qt,function(Te){G(new Uint8Array(Te))},se)})}return Promise.resolve().then(function(){return ta(qt)})}function Fc(){var G={env:Oc,wasi_snapshot_preview1:Oc};function se(qe,Ue){var Wt=qe.exports;t.asm=Wt,P=t.asm.memory,Ie(P.buffer),Re=t.asm.__indirect_function_table,qr(t.asm.__wasm_call_ctors),Xr("wasm-instantiate")}jr("wasm-instantiate");function Te(qe){se(qe.instance)}function nt(qe){return Dc().then(function(Ue){return WebAssembly.instantiate(Ue,G)}).then(function(Ue){return Ue}).then(qe,function(Ue){E("failed to asynchronously prepare wasm: "+Ue),cr(Ue)})}function Tt(){return!R&&typeof WebAssembly.instantiateStreaming=="function"&&!Do(qt)&&!hs(qt)&&!m&&typeof fetch=="function"?fetch(qt,{credentials:"same-origin"}).then(function(qe){var Ue=WebAssembly.instantiateStreaming(qe,G);return Ue.then(Te,function(Wt){return E("wasm streaming compile failed: "+Wt),E("falling back to ArrayBuffer instantiation"),nt(Te)})}):nt(Te)}if(t.instantiateWasm)try{var _t=t.instantiateWasm(G,se);return _t}catch(qe){E("Module.instantiateWasm callback failed with error: "+qe),n(qe)}return Tt().catch(n),{}}var AI,Ya;function Ju(G){this.name="ExitStatus",this.message="Program terminated with exit("+G+")",this.status=G}function ra(G){for(;G.length>0;)G.shift()(t)}function Rx(){cr("")}function Yl(){return 2147483648}function Ki(){return Yl()}function Dx(G,se,Te){oe.copyWithin(G,se,se+Te)}function Ql(G){try{return P.grow(G-Z.byteLength+65535>>>16),Ie(P.buffer),1}catch(se){}}function ep(G){var se=oe.length;G=G>>>0;var Te=Yl();if(G>Te)return!1;let nt=(Wt,Yr)=>Wt+(Yr-Wt%Yr)%Yr;for(var Tt=1;Tt<=4;Tt*=2){var _t=se*(1+.2/Tt);_t=Math.min(_t,G+100663296);var qe=Math.min(Te,nt(Math.max(G,_t),65536)),Ue=Ql(qe);if(Ue)return!0}return!1}var lr={varargs:void 0,get:function(){lr.varargs+=4;var G=ie[lr.varargs-4>>2];return G},getStr:function(G){var se=K(G);return se}};function Zl(G){return 52}function Fx(G,se,Te,nt,Tt){return 70}var Ox=[null,[],[]];function RI(G,se){var Te=Ox[G];se===0||se===10?((G===1?_:E)(U(Te,0)),Te.length=0):Te.push(se)}function DI(G,se,Te,nt){for(var Tt=0,_t=0;_t>2],Ue=ce[se+4>>2];se+=8;for(var Wt=0;Wt>2]=Tt,0}function Jl(G){var se=t["_"+G];return se}function qi(G,se){ee.set(G,se)}function Px(G,se,Te,nt,Tt){var _t={string:hr=>{var Za=0;if(hr!=null&&hr!==0){var gm=(hr.length<<2)+1;Za=Vc(gm),q(hr,Za,gm)}return Za},array:hr=>{var Za=Vc(hr.length);return qi(hr,Za),Za}};function qe(hr){return se==="string"?K(hr):se==="boolean"?!!hr:hr}var Ue=Jl(G),Wt=[],Yr=0;if(nt)for(var oa=0;oaqe==="number"||qe==="boolean"),_t=se!=="string";return _t&&Tt&&!nt?Jl(G):function(){return Px(G,se,Te,arguments,nt)}}var Oc={abort:Rx,emscripten_get_heap_max:Ki,emscripten_memcpy_big:Dx,emscripten_resize_heap:ep,fd_close:Zl,fd_seek:Fx,fd_write:DI},Lx=Fc(),em=t.___wasm_call_ctors=function(){return(em=t.___wasm_call_ctors=t.asm.__wasm_call_ctors).apply(null,arguments)},tm=t._init=function(){return(tm=t._init=t.asm.init).apply(null,arguments)},Bx=t._init_with_threads_count=function(){return(Bx=t._init_with_threads_count=t.asm.init_with_threads_count).apply(null,arguments)},rm=t._get_threads_count=function(){return(rm=t._get_threads_count=t.asm.get_threads_count).apply(null,arguments)},Vx=t._register_tensor=function(){return(Vx=t._register_tensor=t.asm.register_tensor).apply(null,arguments)},Oe=t._dispose_data=function(){return(Oe=t._dispose_data=t.asm.dispose_data).apply(null,arguments)},Pc=t._dispose=function(){return(Pc=t._dispose=t.asm.dispose).apply(null,arguments)},zx=t._Abs=function(){return(zx=t._Abs=t.asm.Abs).apply(null,arguments)},om=t._Add=function(){return(om=t._Add=t.asm.Add).apply(null,arguments)},tp=t._AddN=function(){return(tp=t._AddN=t.asm.AddN).apply(null,arguments)},Wx=t._All=function(){return(Wx=t._All=t.asm.All).apply(null,arguments)},Ux=t._Any=function(){return(Ux=t._Any=t.asm.Any).apply(null,arguments)},Gx=t._ArgMax=function(){return(Gx=t._ArgMax=t.asm.ArgMax).apply(null,arguments)},Hx=t._AvgPool=function(){return(Hx=t._AvgPool=t.asm.AvgPool).apply(null,arguments)},Kx=t._BatchMatMul=function(){return(Kx=t._BatchMatMul=t.asm.BatchMatMul).apply(null,arguments)},nm=t._Ceil=function(){return(nm=t._Ceil=t.asm.Ceil).apply(null,arguments)},sm=t._ClipByValue=function(){return(sm=t._ClipByValue=t.asm.ClipByValue).apply(null,arguments)},qx=t._Conv2D=function(){return(qx=t._Conv2D=t.asm.Conv2D).apply(null,arguments)},jx=t._Conv2DBackpropInput=function(){return(jx=t._Conv2DBackpropInput=t.asm.Conv2DBackpropInput).apply(null,arguments)},Xx=t._Cos=function(){return(Xx=t._Cos=t.asm.Cos).apply(null,arguments)},Mc=t._Cosh=function(){return(Mc=t._Cosh=t.asm.Cosh).apply(null,arguments)},Yx=t._CropAndResize=function(){return(Yx=t._CropAndResize=t.asm.CropAndResize).apply(null,arguments)},Qx=t._Cumprod=function(){return(Qx=t._Cumprod=t.asm.Cumprod).apply(null,arguments)},Zx=t._Cumsum=function(){return(Zx=t._Cumsum=t.asm.Cumsum).apply(null,arguments)},ji=t._DepthToSpace=function(){return(ji=t._DepthToSpace=t.asm.DepthToSpace).apply(null,arguments)},Jx=t._DepthwiseConv2dNative=function(){return(Jx=t._DepthwiseConv2dNative=t.asm.DepthwiseConv2dNative).apply(null,arguments)},ey=t._Elu=function(){return(ey=t._Elu=t.asm.Elu).apply(null,arguments)},am=t._Equal=function(){return(am=t._Equal=t.asm.Equal).apply(null,arguments)},ty=t._Exp=function(){return(ty=t._Exp=t.asm.Exp).apply(null,arguments)},Lc=t._FlipLeftRight=function(){return(Lc=t._FlipLeftRight=t.asm.FlipLeftRight).apply(null,arguments)},ry=t._Floor=function(){return(ry=t._Floor=t.asm.Floor).apply(null,arguments)},oy=t._FloorDiv=function(){return(oy=t._FloorDiv=t.asm.FloorDiv).apply(null,arguments)},ny=t._FusedBatchNorm=function(){return(ny=t._FusedBatchNorm=t.asm.FusedBatchNorm).apply(null,arguments)},Qa=t._FusedConv2D=function(){return(Qa=t._FusedConv2D=t.asm.FusedConv2D).apply(null,arguments)},Bc=t._FusedDepthwiseConv2D=function(){return(Bc=t._FusedDepthwiseConv2D=t.asm.FusedDepthwiseConv2D).apply(null,arguments)},sy=t._Gather=function(){return(sy=t._Gather=t.asm.Gather).apply(null,arguments)},ay=t._GatherNd=function(){return(ay=t._GatherNd=t.asm.GatherNd).apply(null,arguments)},iy=t._Greater=function(){return(iy=t._Greater=t.asm.Greater).apply(null,arguments)},uy=t._GreaterEqual=function(){return(uy=t._GreaterEqual=t.asm.GreaterEqual).apply(null,arguments)},im=t._IsNan=function(){return(im=t._IsNan=t.asm.IsNan).apply(null,arguments)},um=t._LeakyRelu=function(){return(um=t._LeakyRelu=t.asm.LeakyRelu).apply(null,arguments)},py=t._Less=function(){return(py=t._Less=t.asm.Less).apply(null,arguments)},cy=t._LessEqual=function(){return(cy=t._LessEqual=t.asm.LessEqual).apply(null,arguments)},pm=t._Log=function(){return(pm=t._Log=t.asm.Log).apply(null,arguments)},cm=t._LogicalAnd=function(){return(cm=t._LogicalAnd=t.asm.LogicalAnd).apply(null,arguments)},ly=t._LogicalNot=function(){return(ly=t._LogicalNot=t.asm.LogicalNot).apply(null,arguments)},my=t._LogicalOr=function(){return(my=t._LogicalOr=t.asm.LogicalOr).apply(null,arguments)},dy=t._LogicalXor=function(){return(dy=t._LogicalXor=t.asm.LogicalXor).apply(null,arguments)},fy=t._Max=function(){return(fy=t._Max=t.asm.Max).apply(null,arguments)},lm=t._MaxPool=function(){return(lm=t._MaxPool=t.asm.MaxPool).apply(null,arguments)},FI=t._Maximum=function(){return(FI=t._Maximum=t.asm.Maximum).apply(null,arguments)},hy=t._Mean=function(){return(hy=t._Mean=t.asm.Mean).apply(null,arguments)},gy=t._Min=function(){return(gy=t._Min=t.asm.Min).apply(null,arguments)},xy=t._Minimum=function(){return(xy=t._Minimum=t.asm.Minimum).apply(null,arguments)},yy=t._MirrorPad=function(){return(yy=t._MirrorPad=t.asm.MirrorPad).apply(null,arguments)},by=t._Multiply=function(){return(by=t._Multiply=t.asm.Multiply).apply(null,arguments)},Cy=t._Neg=function(){return(Cy=t._Neg=t.asm.Neg).apply(null,arguments)},Sy=t._NonMaxSuppressionV3=function(){return(Sy=t._NonMaxSuppressionV3=t.asm.NonMaxSuppressionV3).apply(null,arguments)},wy=t._NonMaxSuppressionV4=function(){return(wy=t._NonMaxSuppressionV4=t.asm.NonMaxSuppressionV4).apply(null,arguments)},Iy=t._NonMaxSuppressionV5=function(){return(Iy=t._NonMaxSuppressionV5=t.asm.NonMaxSuppressionV5).apply(null,arguments)},vy=t._NotEqual=function(){return(vy=t._NotEqual=t.asm.NotEqual).apply(null,arguments)},ky=t._OneHot=function(){return(ky=t._OneHot=t.asm.OneHot).apply(null,arguments)},Ny=t._PadV2=function(){return(Ny=t._PadV2=t.asm.PadV2).apply(null,arguments)},Ty=t._Pow=function(){return(Ty=t._Pow=t.asm.Pow).apply(null,arguments)},_y=t._Prelu=function(){return(_y=t._Prelu=t.asm.Prelu).apply(null,arguments)},$y=t._Prod=function(){return($y=t._Prod=t.asm.Prod).apply(null,arguments)},Ey=t._RealDiv=function(){return(Ey=t._RealDiv=t.asm.RealDiv).apply(null,arguments)},Ay=t._Reciprocal=function(){return(Ay=t._Reciprocal=t.asm.Reciprocal).apply(null,arguments)},Ry=t._Relu=function(){return(Ry=t._Relu=t.asm.Relu).apply(null,arguments)},Dy=t._Relu6=function(){return(Dy=t._Relu6=t.asm.Relu6).apply(null,arguments)},Fy=t._ResizeBilinear=function(){return(Fy=t._ResizeBilinear=t.asm.ResizeBilinear).apply(null,arguments)},Oy=t._ResizeNearestNeighbor=function(){return(Oy=t._ResizeNearestNeighbor=t.asm.ResizeNearestNeighbor).apply(null,arguments)},Py=t._Reverse=function(){return(Py=t._Reverse=t.asm.Reverse).apply(null,arguments)},My=t._RotateWithOffset=function(){return(My=t._RotateWithOffset=t.asm.RotateWithOffset).apply(null,arguments)},Ly=t._Round=function(){return(Ly=t._Round=t.asm.Round).apply(null,arguments)},By=t._Rsqrt=function(){return(By=t._Rsqrt=t.asm.Rsqrt).apply(null,arguments)},Vy=t._ScatterNd=function(){return(Vy=t._ScatterNd=t.asm.ScatterNd).apply(null,arguments)},zy=t._SelectV2=function(){return(zy=t._SelectV2=t.asm.SelectV2).apply(null,arguments)},Wy=t._Sigmoid=function(){return(Wy=t._Sigmoid=t.asm.Sigmoid).apply(null,arguments)},Uy=t._Sin=function(){return(Uy=t._Sin=t.asm.Sin).apply(null,arguments)},Gy=t._Softmax=function(){return(Gy=t._Softmax=t.asm.Softmax).apply(null,arguments)},Hy=t._SparseFillEmptyRows=function(){return(Hy=t._SparseFillEmptyRows=t.asm.SparseFillEmptyRows).apply(null,arguments)},Ky=t._SparseReshape=function(){return(Ky=t._SparseReshape=t.asm.SparseReshape).apply(null,arguments)},qy=t._SparseSegmentReduction=function(){return(qy=t._SparseSegmentReduction=t.asm.SparseSegmentReduction).apply(null,arguments)},jy=t._Sqrt=function(){return(jy=t._Sqrt=t.asm.Sqrt).apply(null,arguments)},Xy=t._Square=function(){return(Xy=t._Square=t.asm.Square).apply(null,arguments)},Yy=t._SquaredDifference=function(){return(Yy=t._SquaredDifference=t.asm.SquaredDifference).apply(null,arguments)},Qy=t._Step=function(){return(Qy=t._Step=t.asm.Step).apply(null,arguments)},Zy=t._StridedSlice=function(){return(Zy=t._StridedSlice=t.asm.StridedSlice).apply(null,arguments)},Jy=t._Sub=function(){return(Jy=t._Sub=t.asm.Sub).apply(null,arguments)},eb=t._Sum=function(){return(eb=t._Sum=t.asm.Sum).apply(null,arguments)},tb=t._Tan=function(){return(tb=t._Tan=t.asm.Tan).apply(null,arguments)},rb=t._Tanh=function(){return(rb=t._Tanh=t.asm.Tanh).apply(null,arguments)},ob=t._Tile=function(){return(ob=t._Tile=t.asm.Tile).apply(null,arguments)},nb=t._TopK=function(){return(nb=t._TopK=t.asm.TopK).apply(null,arguments)},sb=t._Transform=function(){return(sb=t._Transform=t.asm.Transform).apply(null,arguments)},ab=t._Transpose=function(){return(ab=t._Transpose=t.asm.Transpose).apply(null,arguments)},ib=t.__FusedMatMul=function(){return(ib=t.__FusedMatMul=t.asm._FusedMatMul).apply(null,arguments)},ub=t._malloc=function(){return(ub=t._malloc=t.asm.malloc).apply(null,arguments)},pb=t._free=function(){return(pb=t._free=t.asm.free).apply(null,arguments)},cb=t.___errno_location=function(){return(cb=t.___errno_location=t.asm.__errno_location).apply(null,arguments)},mm=t.stackSave=function(){return(mm=t.stackSave=t.asm.stackSave).apply(null,arguments)},dm=t.stackRestore=function(){return(dm=t.stackRestore=t.asm.stackRestore).apply(null,arguments)},Vc=t.stackAlloc=function(){return(Vc=t.stackAlloc=t.asm.stackAlloc).apply(null,arguments)},lb=t.dynCall_iijjiiii=function(){return(lb=t.dynCall_iijjiiii=t.asm.dynCall_iijjiiii).apply(null,arguments)},mb=t.dynCall_jiji=function(){return(mb=t.dynCall_jiji=t.asm.dynCall_jiji).apply(null,arguments)};t.cwrap=Mx;var rp;rr=function G(){rp||fm(),rp||(rr=G)};function fm(G){if(G=G||i,Nt>0||(ft(),Nt>0))return;function se(){rp||(rp=!0,t.calledRun=!0,!M&&(ht(),o(t),t.onRuntimeInitialized&&t.onRuntimeInitialized(),Rr()))}t.setStatus?(t.setStatus("Running..."),setTimeout(function(){setTimeout(function(){t.setStatus("")},1),se()},1)):se()}if(t.preInit)for(typeof t.preInit=="function"&&(t.preInit=[t.preInit]);t.preInit.length>0;)t.preInit.pop()();fm();var op;s&&(op={uncaughtException:process.listeners("uncaughtException").filter(function(G){return!s.uncaughtException.indexOf(G)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(G){return!s.unhandledRejection.indexOf(G)>-1})});var np;if(typeof e!="undefined")np=e;else if(typeof WasmBackendModuleThreadedSimd!="undefined")np=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(op){var db=np._dispose;np._dispose=function(){db(),op.uncaughtException.forEach(function(G){process.removeListener("uncaughtException",G)}),op.unhandledRejection.forEach(function(G){process.removeListener("unhandledRejection",G)})}}return e.ready}})();typeof Ig=="object"&&typeof uI=="object"?uI.exports=iI:typeof define=="function"&&define.amd?define([],function(){return iI}):typeof Ig=="object"&&(Ig.WasmBackendModule=iI)});var Fo=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},Zr=class{refCount(e){return Fr("refCount")}incRef(e){return Fr("incRef")}timerAvailable(){return!0}time(e){return Fr("time")}read(e){return Fr("read")}readSync(e){return Fr("readSync")}readToGPU(e,t){return Fr("readToGPU")}numDataIds(){return Fr("numDataIds")}disposeData(e,t){return Fr("disposeData")}write(e,t,o){return Fr("write")}move(e,t,o,n,s){return Fr("move")}createTensorFromGPUData(e,t,o){return Fr("createTensorFromGPUData")}memory(){return Fr("memory")}floatPrecision(){return Fr("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Fr("dispose")}};function Fr(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function UI(r){let e=r.length,t=0;for(;e>0;)t=Math.random()*e|0,e--,Im(r,e,t)}function WV(r,e){if(r.length!==e.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${e.length}`);let t=r.length,o=0;for(;t>0;)o=Math.random()*t|0,t--,Im(r,t,o),Im(e,t,o)}function ip(r,e,t){return Math.max(r,Math.min(e,t))}function UV(r){return r%2===0?r:r+1}function Im(r,e,t){let o=r[e];r[e]=r[t],r[t]=o}function GV(r){let e=0;for(let t=0;tt+` Shapes ${r} and ${e} must match`)}function Jr(r){$(r!=null,()=>"The input to the tensor constructor must be a non-null value.")}function We(r){if(r.length===0)return 1;let e=r[0];for(let t=1;t0,t,o){return new Promise((n,s)=>{let a=0,i=()=>{if(r()){n();return}a++;let p=e(a);if(t!=null&&a>=t){s();return}o!=null?o(i,p):setTimeout(i,p)};i()})}function ZV(r,e){let t=1,o=-1;for(let s=0;s=0)t*=r[s];else if(r[s]===-1){if(o!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${o} and dim ${s}`);o=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(o===-1){if(e>0&&e!==t)throw Error(`Size(${e}) must match the product of shape ${r}`);return r}if(t===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(e%t!==0)throw Error(`The implicit shape can't be a fractional number. Got ${e} / ${t}`);let n=r.slice();return n[o]=e/t,n}function Ja(r,e){let t=e.length;return r=r==null?e.map((o,n)=>n):[].concat(r),$(r.every(o=>o>=-t&&o`All values in axis param must be in range [-${t}, ${t}) but got axis ${r}`),$(r.every(o=>sa(o)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(o=>o<0?t+o:o)}function bb(r,e){let t=[],o=[],n=e!=null&&Array.isArray(e)&&e.length===0,s=e==null||n?null:Ja(e,r).sort(),a=0;for(let i=0;ii)&&r[i]===1&&(t.push(r[i]),o.push(i)),s[a]<=i&&a++}r[i]!==1&&(t.push(r[i]),o.push(i))}return{newShape:t,keptDims:o}}function Cb(r,e){let t=null;if(r==null||r==="float32")t=new Float32Array(e);else if(r==="int32")t=new Int32Array(e);else if(r==="bool")t=new Uint8Array(e);else throw new Error(`Unknown data type ${r}`);return t}function Sb(r,e){let t=null;if(r==null||r==="float32")t=new Float32Array(e);else if(r==="int32")t=new Int32Array(e);else if(r==="bool")t=new Uint8Array(e);else if(r==="string")t=new Array(e);else throw new Error(`Unknown data type ${r}`);return t}function wb(r,e){for(let t=0;te+=t.length),e}function Oo(r){return typeof r=="string"||r instanceof String}function GI(r){return typeof r=="boolean"}function HI(r){return typeof r=="number"}function pp(r){return Array.isArray(r)?pp(r[0]):r instanceof Float32Array?"float32":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?"int32":HI(r)?"float32":Oo(r)?"string":GI(r)?"bool":"float32"}function gs(r){return!!(r&&r.constructor&&r.call&&r.apply)}function cp(r,e){for(let t=e;t=0;--o)t[o]=t[o+1]*r[o+1];return t}function KI(r,e,t,o=!1){let n=new Array;if(e.length===1){let s=e[0]*(o?2:1);for(let a=0;ap*u)*(o?2:1);for(let p=0;pn*s)*(t?2:1);if(o===0)return[];if(o!==e.length)throw new Error(`[${r}] does not match the input size ${e.length}${t?" for a complex tensor":""}.`);return KI(0,r,e,t)}function ez(r,e){if(Array.isArray(r))return r;if(e==="float32")return r instanceof Float32Array?r:new Float32Array(r);if(e==="int32")return r instanceof Int32Array?r:new Int32Array(r);if(e==="bool"||e==="string")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${e}`)}function Wc(r,e){let t=lp(r,e);for(let o=0;oo*n,1);if(e==null||e==="float32")return Xi(r,new Float32Array(t));if(e==="int32")return Xi(r,new Int32Array(t));if(e==="bool")return Xi(r,new Uint8Array(t));throw new Error(`Unknown data type ${e}`)}function bt(r){r.forEach(e=>{$(Number.isInteger(e)&&e>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function rz(r,e,t){if(e===0)return 0;if(e===1)return r[0];let o=r[r.length-1];for(let n=0;n{let[n,s]=o.split(":");this.urlFlags[n]=iz(n,s)})}};function sz(r){let e={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(t,...o)=>(az(e,o[0],o[1]),o.join("="))),e}function az(r,e,t){r[decodeURIComponent(e)]=decodeURIComponent(t||"")}function iz(r,e){if(e=e.toLowerCase(),e==="true"||e==="false")return e==="true";if(`${+e}`===e)return+e;throw new Error(`Could not parse value flag value ${e} for flag ${r}.`)}function O(){return kb}var kb=null;function jI(r){kb=r}var Nb;function Tb(){if(Nb==null){let r;if(typeof window!="undefined")r=window;else if(typeof global!="undefined")r=global;else if(typeof process!="undefined")r=process;else if(typeof self!="undefined")r=self;else throw new Error("Could not find a global object");Nb=r}return Nb}function uz(){let r=Tb();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function Gc(r,e){let t=uz();if(t.has(r))return t.get(r);{let o=e();return t.set(r,o),t.get(r)}}var ys="Abs",aa="Acos",ia="Acosh",eo="Add",Po="AddN",Mo="All",Lo="Any",Bo="ArgMax",ei="ArgMin",ua="Asin",pa="Asinh",ca="Atan",la="Atanh",ma="Atan2",Vo="AvgPool",mp="AvgPoolGrad",dp="AvgPool3D",vm="AvgPool3DGrad",zo="BatchMatMul",bs="BatchToSpaceND",ti="Bincount",ise="BroadcastTo",fp="BroadcastArgs",co="Cast",Wo="Ceil",lo="ClipByValue",ri="Complex",hp="ComplexAbs",Cs="Concat",Uo="Conv2D",oi="Conv2DBackpropFilter",Go="Conv2DBackpropInput",gp="Conv3D",km="Conv3DBackpropFilterV2",xp="Conv3DBackpropInputV2",Ho="Cos",Ko="Cosh",qo="Cumprod",jo="Cumsum",Xo="CropAndResize",ni="DenseBincount",Yo="DepthToSpace",Qo="DepthwiseConv2dNative",yp="DepthwiseConv2dNativeBackpropFilter",bp="DepthwiseConv2dNativeBackpropInput",si="Diag",ai="Dilation2D",_b="Dilation2DBackpropInput",$b="Dilation2DBackpropFilter",Zo="RealDiv",ii="Einsum",Jo="Elu",Nm="EluGrad",da="Erf",en="Equal",tn="Exp",Ss="ExpandDims",fa="Expm1",ui="FFT",ws="Fill",rn="FlipLeftRight",on="Floor",nn="FloorDiv",sn="FusedBatchNorm",Is="GatherV2",an="GatherNd",un="Greater",pn="GreaterEqual",mo="Identity",pi="IFFT",ci="Imag",ha="IsFinite",ga="IsInf",cn="IsNan",ln="LeakyRelu",mn="Less",dn="LessEqual",li="LinSpace",fn="Log",xa="Log1p",hn="LogicalAnd",gn="LogicalNot",xn="LogicalOr",XI="LogicalXor",use="LogSoftmax",pse="LowerBound",mi="LRN",Tm="LRNGrad",yn="Max",bn="Maximum",Cn="MaxPool",_m="MaxPoolGrad",Cp="MaxPool3D",$m="MaxPool3DGrad",Sp="MaxPoolWithArgmax",Sn="Mean",wn="Min",In="Minimum",vn="MirrorPad",ya="Mod",wp="Multinomial",kn="Multiply",vs="Neg",Nn="NotEqual",Tn="NonMaxSuppressionV3",ba="NonMaxSuppressionV4",_n="NonMaxSuppressionV5",ks="OnesLike",$n="OneHot",Ns="Pack",En="PadV2",cse="Pool",An="Pow",Rn="Prelu",Dn="Prod",Ip="RaggedGather",vp="RaggedRange",kp="RaggedTensorToTensor",Ts="Range",di="Real",Fn="Reciprocal",On="Relu",_s="Reshape",Pn="ResizeNearestNeighbor",Em="ResizeNearestNeighborGrad",Mn="ResizeBilinear",Am="ResizeBilinearGrad",Ln="Relu6",Bn="Reverse",Vn="Round",zn="Rsqrt",Wn="ScatterNd",fi="SearchSorted",$s="Select",Ca="Selu",Es="Slice",Un="Sin",Sa="Sinh",wa="Sign",Gn="Sigmoid",Ia="Softplus",Hn="Sqrt",Kn="Sum",As="SpaceToBatchND",Rs="SplitV",qn="Softmax",hi="SparseFillEmptyRows",va="SparseReshape",gi="SparseSegmentMean",xi="SparseSegmentSum",yi="SparseToDense",jn="SquaredDifference",bi="Square",Xn="StridedSlice",Ds="StringNGrams",Ci="StringSplit",Si="StringToHashBucketFast",Yn="Sub",Qn="Tan",Zn="Tanh",to="Tile",Jn="TopK",es="Transform",ro="Transpose",Np="Unique",Fs="Unpack",Tp="UnsortedSegmentSum",lse="UpperBound",Os="ZerosLike",fo="Step",Zi="FromPixels",ts="RotateWithOffset",ho="_FusedMatMul",go="FusedConv2D",xo="FusedDepthwiseConv2D";function Ps(...r){O().getBool("IS_TEST")||O().getBool("PROD")||console.warn(...r)}function pz(...r){O().getBool("IS_TEST")||O().getBool("PROD")||console.log(...r)}var _p=Gc("kernelRegistry",()=>new Map),Hc=Gc("gradRegistry",()=>new Map);function Kc(r,e){let t=Ab(r,e);return _p.get(t)}function Eb(r){return Hc.get(r)}function Rm(r){let e=_p.entries(),t=[];for(;;){let{done:o,value:n}=e.next();if(o)break;let[s,a]=n,[i]=s.split("_");i===r&&t.push(a)}return t}function ka(r){let{kernelName:e,backendName:t}=r,o=Ab(e,t);_p.has(o)&&Ps(`The kernel '${e}' for backend '${t}' is already registered`),_p.set(o,r)}function gse(r){let{kernelName:e}=r;Hc.has(e)&&O().getBool("DEBUG")&&Ps(`Overriding the gradient for '${e}'`),Hc.set(e,r)}function xse(r,e){let t=Ab(r,e);if(!_p.has(t))throw new Error(`The kernel '${r}' for backend '${e}' is not registered`);_p.delete(t)}function yse(r){if(!Hc.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);Hc.delete(r)}function bse(r,e){Rm(r).forEach(o=>{let n=Object.assign({},o,{backendName:e});ka(n)})}function Ab(r,e){return`${e}_${r}`}var y={};Ge(y,{arraysEqual:()=>Or,assert:()=>$,assertNonNegativeIntegerDimensions:()=>bt,assertNonNull:()=>Jr,assertShapesMatch:()=>gt,bytesFromStringArray:()=>vb,bytesPerElement:()=>up,checkConversionForErrors:()=>wb,clamp:()=>ip,computeStrides:()=>xs,convertBackendValuesAndArrayBuffer:()=>ez,createScalarValue:()=>gz,createShuffledIndices:()=>YV,decodeString:()=>Rp,distSquared:()=>KV,encodeString:()=>Ii,fetch:()=>yz,fingerPrint64:()=>hz,flatten:()=>os,getArrayFromDType:()=>Sb,getTypedArrayFromDType:()=>Cb,hasEncodingLoss:()=>JV,hexToLong:()=>qc,indexToLoc:()=>oz,inferDtype:()=>pp,inferFromImplicitShape:()=>ZV,isBoolean:()=>GI,isFunction:()=>gs,isInt:()=>sa,isNumber:()=>HI,isPromise:()=>Qi,isScalarShape:()=>qV,isString:()=>Oo,isTypedArray:()=>Bt,isValidDtype:()=>Ib,locToIndex:()=>rz,makeOnesTypedArray:()=>Wc,makeZerosNestedTypedArray:()=>tz,makeZerosTypedArray:()=>lp,nearestDivisor:()=>cp,nearestLargerEven:()=>UV,now:()=>ou,parseAxisParam:()=>Ja,randUniform:()=>HV,repeatedTry:()=>QV,rightPad:()=>Yi,shuffle:()=>UI,shuffleCombo:()=>WV,sizeFromShape:()=>We,sizeToSquarishShape:()=>XV,squeezeShape:()=>bb,sum:()=>GV,swap:()=>Im,tanh:()=>jV,toNestedArray:()=>Xi,toTypedArray:()=>Ap});var Ob=ap(i0());var ru=Ob.default||Ob;function qc(r){return ru.fromString(r,!0,16)}var p0=qc("c3a5c85c97cb3127"),tu=qc("b492b66fbe98f273"),gr=qc("9ae16a3b2f90404f");function Fb(r){return r.xor(r.shru(47))}function c0(r,e,t){let o=r.slice(e,e+t);return ru.fromBytes(Array.from(o),!0,!0)}function Ct(r,e){return c0(r,e,8)}function u0(r,e){return c0(r,e,4)}function jt(r,e){return e===0?r:r.shru(e).or(r.shl(64-e))}function wi(r,e,t=qc("9ddfea08eb382d69")){let o=r.xor(e).mul(t);o=o.xor(o.shru(47));let n=e.xor(o).mul(t);return n=n.xor(n.shru(47)),n=n.mul(t),n}function lz(r,e,t,o,n,s){n=n.add(r),s=jt(s.add(n).add(o),21);let a=n;return n=n.add(e),n=n.add(t),s=s.add(jt(n,44)),[n.add(o),s.add(a)]}function Fm(r,e,t,o){return lz(Ct(r,e),Ct(r,e+8),Ct(r,e+16),Ct(r,e+24),t,o)}function mz(r,e=r.length){if(e>=8){let t=gr.add(e*2),o=Ct(r,0).add(gr),n=Ct(r,e-8),s=jt(n,37).mul(t).add(o),a=jt(o,25).add(n).mul(t);return wi(s,a,t)}if(e>=4){let t=gr.add(e*2),o=u0(r,0);return wi(o.shl(3).add(e),u0(r,e-4),t)}if(e>0){let t=r[0],o=r[e>>1],n=r[e-1],s=t+(o<<8),a=e+(n<<2);return Fb(gr.mul(s).xor(p0.mul(a))).mul(gr)}return gr}function dz(r,e=r.length){let t=gr.add(e*2),o=Ct(r,0).mul(tu),n=Ct(r,8),s=Ct(r,e-8).mul(t),a=Ct(r,e-16).mul(gr);return wi(jt(o.add(n),43).add(jt(s,30)).add(a),o.add(jt(n.add(gr),18)).add(s),t)}function fz(r,e=r.length){let t=gr.add(e*2),o=Ct(r,0).mul(gr),n=Ct(r,8),s=Ct(r,e-8).mul(t),a=Ct(r,e-16).mul(gr),i=jt(o.add(n),43).add(jt(s,30)).add(a),p=wi(i,o.add(jt(n.add(gr),18)).add(s),t),u=Ct(r,16).mul(t),c=Ct(r,24),l=i.add(Ct(r,e-32)).mul(t),m=p.add(Ct(r,e-24)).mul(t);return wi(jt(u.add(c),43).add(jt(l,30)).add(m),u.add(jt(c.add(o),18)).add(l),t)}function hz(r,e=r.length){let t=ru.fromNumber(81,!0);if(e<=32)return e<=16?mz(r,e):dz(r,e);if(e<=64)return fz(r,e);let o=t,n=t.mul(tu).add(113),s=Fb(n.mul(gr).add(113)).mul(gr),a=[ru.UZERO,ru.UZERO],i=[ru.UZERO,ru.UZERO];o=o.mul(gr).add(Ct(r,0));let p=0,u=(e-1>>6)*64,c=u+(e-1&63)-63;do o=jt(o.add(n).add(a[0]).add(Ct(r,p+8)),37).mul(tu),n=jt(n.add(a[1]).add(Ct(r,p+48)),42).mul(tu),o=o.xor(i[1]),n=n.add(a[0]).add(Ct(r,p+40)),s=jt(s.add(i[0]),33).mul(tu),a=Fm(r,p,a[1].mul(tu),o.add(i[0])),i=Fm(r,p+32,s.add(i[1]),n.add(Ct(r,p+16))),[s,o]=[o,s],p+=64;while(p!==u);let l=tu.add(s.and(255).shl(1));return p=c,i[0]=i[0].add(e-1&63),a[0]=a[0].add(i[0]),i[0]=i[0].add(a[0]),o=jt(o.add(n).add(a[0]).add(Ct(r,p+8)),37).mul(l),n=jt(n.add(a[1]).add(Ct(r,p+48)),42).mul(l),o=o.xor(i[1].mul(9)),n=n.add(a[0].mul(9).add(Ct(r,p+40))),s=jt(s.add(i[0]),33).mul(l),a=Fm(r,p,a[1].mul(l),o.add(i[0])),i=Fm(r,p+32,s.add(i[1]),n.add(Ct(r,p+16))),[s,o]=[o,s],wi(wi(a[0],i[0],l).add(Fb(n).mul(p0)).add(s),wi(a[1],i[1],l).add(o),l)}function gz(r,e){return e==="string"?Ii(r):Ap([r],e)}function xz(r,e){return r instanceof Float32Array&&e==="float32"||r instanceof Int32Array&&e==="int32"||r instanceof Uint8Array&&e==="bool"}function Ap(r,e){if(e==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(r)&&(r=os(r)),O().getBool("DEBUG")&&wb(r,e),xz(r,e))return r;if(e==null||e==="float32"||e==="complex64")return new Float32Array(r);if(e==="int32")return new Int32Array(r);if(e==="bool"){let t=new Uint8Array(r.length);for(let o=0;o{n=o()},a,i=ou();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(s);else{s();for(let u of n)u.dataSync();a=Promise.resolve({kernelMs:ou()-i})}if(O().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let u=0;u{bz(l,c.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:a.then(u=>u.kernelMs),extraInfo:a.then(u=>u.getExtraProfileInfo!=null?u.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:o,timeMs:n,inputs:s,extraInfo:a}=e;o.forEach(i=>{Promise.all([i.data(),n,a]).then(p=>{this.logger.logKernelProfile(t,i,p[0],p[1],s,p[2])})})}};function bz(r,e,t){if(e!=="float32")return!1;for(let o=0;o0?h:""} `}}console.log(`%c${p} %c${i} %c${u}D ${l} %c${c} %c${m} %c${a}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function l0(r,e,t){let o={},n={};for(let p=0;po[h.id]=!0),d=!0,n[u.id]=!0;break}if(d)break}}let s={};s[t.id]=!0;let a={};for(let p=r.length-1;p>=0;p--){let u=r[p],c=u.inputs;for(let l=0;l=0;n--){let s=e[n],a=[];if(s.outputs.forEach(p=>{let u=r[p.id];u!=null?a.push(u):a.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let i=s.gradient(a);for(let p in s.inputs){if(!(p in i))throw new Error(`Cannot backprop through input ${p}. Available gradients found: ${Object.keys(i)}.`);let u=t(()=>i[p]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${p} must have 'float32' dtype, but has '${u.dtype}'`);let c=s.inputs[p];if(!Or(u.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${p}' has shape '${u.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=u;else{let l=r[c.id];r[c.id]=o(l,u),l.dispose()}}}}var d0=20,jc=3,Mb=7;function f0(r,e,t,o){let n=xs(e),s=Cz(r,e,t,n),a=e.length,i=Pm(r,e,t,n,s),p=["Tensor"];return o&&(p.push(` dtype: ${t}`),p.push(` rank: ${a}`),p.push(` shape: [${e}]`),p.push(" values:")),p.push(i.map(u=>" "+u).join(` +var BU=Object.create;var PC=Object.defineProperty;var zU=Object.getOwnPropertyDescriptor;var VU=Object.getOwnPropertyNames;var WU=Object.getPrototypeOf,UU=Object.prototype.hasOwnProperty;var qt=(r,e)=>()=>(e||r((e={exports:{}}).exports,e),e.exports),He=(r,e)=>{for(var t in e)PC(r,t,{get:e[t],enumerable:!0})},GU=(r,e,t,o)=>{if(e&&typeof e=="object"||typeof e=="function")for(let n of VU(e))!UU.call(r,n)&&n!==t&&PC(r,n,{get:()=>e[n],enumerable:!(o=zU(e,n))||o.enumerable});return r};var Bp=(r,e,t)=>(t=r!=null?BU(WU(r)):{},GU(e||!r||!r.__esModule?PC(t,"default",{value:r,enumerable:!0}):t,r));var v0=qt((uce,I0)=>{I0.exports=vt;var So=null;try{So=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(r){}function vt(r,e,t){this.low=r|0,this.high=e|0,this.unsigned=!!t}vt.prototype.__isLong__;Object.defineProperty(vt.prototype,"__isLong__",{value:!0});function zr(r){return(r&&r.__isLong__)===!0}vt.isLong=zr;var f0={},h0={};function Ru(r,e){var t,o,n;return e?(r>>>=0,(n=0<=r&&r<256)&&(o=h0[r],o)?o:(t=kt(r,(r|0)<0?-1:0,!0),n&&(h0[r]=t),t)):(r|=0,(n=-128<=r&&r<128)&&(o=f0[r],o)?o:(t=kt(r,r<0?-1:0,!1),n&&(f0[r]=t),t))}vt.fromInt=Ru;function Io(r,e){if(isNaN(r))return e?Eu:vo;if(e){if(r<0)return Eu;if(r>=b0)return S0}else{if(r<=-x0)return Br;if(r+1>=x0)return w0}return r<0?Io(-r,e).neg():kt(r%Qp|0,r/Qp|0,e)}vt.fromNumber=Io;function kt(r,e,t){return new vt(r,e,t)}vt.fromBits=kt;var jm=Math.pow;function jC(r,e,t){if(r.length===0)throw Error("empty string");if(r==="NaN"||r==="Infinity"||r==="+Infinity"||r==="-Infinity")return vo;if(typeof e=="number"?(t=e,e=!1):e=!!e,t=t||10,t<2||360)throw Error("interior hyphen");if(o===0)return jC(r.substring(1),e,t).neg();for(var n=Io(jm(t,8)),s=vo,a=0;a>>0:this.low};de.toNumber=function(){return this.unsigned?(this.high>>>0)*Qp+(this.low>>>0):this.high*Qp+(this.low>>>0)};de.toString=function(e){if(e=e||10,e<2||36>>0,c=u.toString(e);if(a=p,a.isZero())return c+i;for(;c.length<6;)c="0"+c;i=""+c+i}};de.getHighBits=function(){return this.high};de.getHighBitsUnsigned=function(){return this.high>>>0};de.getLowBits=function(){return this.low};de.getLowBitsUnsigned=function(){return this.low>>>0};de.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Br)?64:this.neg().getNumBitsAbs();for(var e=this.high!=0?this.high:this.low,t=31;t>0&&!(e&1<=0};de.isOdd=function(){return(this.low&1)===1};de.isEven=function(){return(this.low&1)===0};de.equals=function(e){return zr(e)||(e=$s(e)),this.unsigned!==e.unsigned&&this.high>>>31===1&&e.high>>>31===1?!1:this.high===e.high&&this.low===e.low};de.eq=de.equals;de.notEquals=function(e){return!this.eq(e)};de.neq=de.notEquals;de.ne=de.notEquals;de.lessThan=function(e){return this.comp(e)<0};de.lt=de.lessThan;de.lessThanOrEqual=function(e){return this.comp(e)<=0};de.lte=de.lessThanOrEqual;de.le=de.lessThanOrEqual;de.greaterThan=function(e){return this.comp(e)>0};de.gt=de.greaterThan;de.greaterThanOrEqual=function(e){return this.comp(e)>=0};de.gte=de.greaterThanOrEqual;de.ge=de.greaterThanOrEqual;de.compare=function(e){if(zr(e)||(e=$s(e)),this.eq(e))return 0;var t=this.isNegative(),o=e.isNegative();return t&&!o?-1:!t&&o?1:this.unsigned?e.high>>>0>this.high>>>0||e.high===this.high&&e.low>>>0>this.low>>>0?-1:1:this.sub(e).isNegative()?-1:1};de.comp=de.compare;de.negate=function(){return!this.unsigned&&this.eq(Br)?Br:this.not().add(Yp)};de.neg=de.negate;de.add=function(e){zr(e)||(e=$s(e));var t=this.high>>>16,o=this.high&65535,n=this.low>>>16,s=this.low&65535,a=e.high>>>16,i=e.high&65535,p=e.low>>>16,u=e.low&65535,c=0,l=0,m=0,d=0;return d+=s+u,m+=d>>>16,d&=65535,m+=n+p,l+=m>>>16,m&=65535,l+=o+i,c+=l>>>16,l&=65535,c+=t+a,c&=65535,kt(m<<16|d,c<<16|l,this.unsigned)};de.subtract=function(e){return zr(e)||(e=$s(e)),this.add(e.neg())};de.sub=de.subtract;de.multiply=function(e){if(this.isZero())return vo;if(zr(e)||(e=$s(e)),So){var t=So.mul(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}if(e.isZero())return vo;if(this.eq(Br))return e.isOdd()?Br:vo;if(e.eq(Br))return this.isOdd()?Br:vo;if(this.isNegative())return e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(y0)&&e.lt(y0))return Io(this.toNumber()*e.toNumber(),this.unsigned);var o=this.high>>>16,n=this.high&65535,s=this.low>>>16,a=this.low&65535,i=e.high>>>16,p=e.high&65535,u=e.low>>>16,c=e.low&65535,l=0,m=0,d=0,f=0;return f+=a*c,d+=f>>>16,f&=65535,d+=s*c,m+=d>>>16,d&=65535,d+=a*u,m+=d>>>16,d&=65535,m+=n*c,l+=m>>>16,m&=65535,m+=s*u,l+=m>>>16,m&=65535,m+=a*p,l+=m>>>16,m&=65535,l+=o*c+n*u+s*p+a*i,l&=65535,kt(d<<16|f,l<<16|m,this.unsigned)};de.mul=de.multiply;de.divide=function(e){if(zr(e)||(e=$s(e)),e.isZero())throw Error("division by zero");if(So){if(!this.unsigned&&this.high===-2147483648&&e.low===-1&&e.high===-1)return this;var t=(this.unsigned?So.div_u:So.div_s)(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?Eu:vo;var o,n,s;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return Eu;if(e.gt(this.shru(1)))return C0;s=Eu}else{if(this.eq(Br)){if(e.eq(Yp)||e.eq(qC))return Br;if(e.eq(Br))return Yp;var a=this.shr(1);return o=a.div(e).shl(1),o.eq(vo)?e.isNegative()?Yp:qC:(n=this.sub(e.mul(o)),s=o.add(n.div(e)),s)}else if(e.eq(Br))return this.unsigned?Eu:vo;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();s=vo}for(n=this;n.gte(e);){o=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var i=Math.ceil(Math.log(o)/Math.LN2),p=i<=48?1:jm(2,i-48),u=Io(o),c=u.mul(e);c.isNegative()||c.gt(n);)o-=p,u=Io(o,this.unsigned),c=u.mul(e);u.isZero()&&(u=Yp),s=s.add(u),n=n.sub(c)}return s};de.div=de.divide;de.modulo=function(e){if(zr(e)||(e=$s(e)),So){var t=(this.unsigned?So.rem_u:So.rem_s)(this.low,this.high,e.low,e.high);return kt(t,So.get_high(),this.unsigned)}return this.sub(this.div(e).mul(e))};de.mod=de.modulo;de.rem=de.modulo;de.not=function(){return kt(~this.low,~this.high,this.unsigned)};de.and=function(e){return zr(e)||(e=$s(e)),kt(this.low&e.low,this.high&e.high,this.unsigned)};de.or=function(e){return zr(e)||(e=$s(e)),kt(this.low|e.low,this.high|e.high,this.unsigned)};de.xor=function(e){return zr(e)||(e=$s(e)),kt(this.low^e.low,this.high^e.high,this.unsigned)};de.shiftLeft=function(e){return zr(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?kt(this.low<>>32-e,this.unsigned):kt(0,this.low<>>e|this.high<<32-e,this.high>>e,this.unsigned):kt(this.high>>e-32,this.high>=0?0:-1,this.unsigned)};de.shr=de.shiftRight;de.shiftRightUnsigned=function(e){if(zr(e)&&(e=e.toInt()),e&=63,e===0)return this;var t=this.high;if(e<32){var o=this.low;return kt(o>>>e|t<<32-e,t>>>e,this.unsigned)}else return e===32?kt(t,0,this.unsigned):kt(t>>>e-32,0,this.unsigned)};de.shru=de.shiftRightUnsigned;de.shr_u=de.shiftRightUnsigned;de.toSigned=function(){return this.unsigned?kt(this.low,this.high,!1):this};de.toUnsigned=function(){return this.unsigned?this:kt(this.low,this.high,!0)};de.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()};de.toBytesLE=function(){var e=this.high,t=this.low;return[t&255,t>>>8&255,t>>>16&255,t>>>24,e&255,e>>>8&255,e>>>16&255,e>>>24]};de.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,e&255,t>>>24,t>>>16&255,t>>>8&255,t&255]};vt.fromBytes=function(e,t,o){return o?vt.fromBytesLE(e,t):vt.fromBytesBE(e,t)};vt.fromBytesLE=function(e,t){return new vt(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)};vt.fromBytesBE=function(e,t){return new vt(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)}});var sk=qt(()=>{});var ak=qt(()=>{});var F2=qt((A2,kw)=>{(function(r,e,t){function o(i){var p=this,u=a();p.next=function(){var c=2091639*p.s0+p.c*23283064365386963e-26;return p.s0=p.s1,p.s1=p.s2,p.s2=c-(p.c=c|0)},p.c=1,p.s0=u(" "),p.s1=u(" "),p.s2=u(" "),p.s0-=u(i),p.s0<0&&(p.s0+=1),p.s1-=u(i),p.s1<0&&(p.s1+=1),p.s2-=u(i),p.s2<0&&(p.s2+=1),u=null}function n(i,p){return p.c=i.c,p.s0=i.s0,p.s1=i.s1,p.s2=i.s2,p}function s(i,p){var u=new o(i),c=p&&p.state,l=u.next;return l.int32=function(){return u.next()*4294967296|0},l.double=function(){return l()+(l()*2097152|0)*11102230246251565e-32},l.quick=l,c&&(typeof c=="object"&&n(c,u),l.state=function(){return n(u,{})}),l}function a(){var i=4022871197,p=function(u){u=String(u);for(var c=0;c>>0,l-=i,l*=i,i=l>>>0,l-=i,i+=l*4294967296}return(i>>>0)*23283064365386963e-26};return p}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.alea=s})(A2,typeof kw=="object"&&kw,typeof define=="function"&&define)});var O2=qt((P2,Nw)=>{(function(r,e,t){function o(a){var i=this,p="";i.x=0,i.y=0,i.z=0,i.w=0,i.next=function(){var c=i.x^i.x<<11;return i.x=i.y,i.y=i.z,i.z=i.w,i.w^=i.w>>>19^c^c>>>8},a===(a|0)?i.x=a:p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor128=s})(P2,typeof Nw=="object"&&Nw,typeof define=="function"&&define)});var L2=qt((M2,Tw)=>{(function(r,e,t){function o(a){var i=this,p="";i.next=function(){var c=i.x^i.x>>>2;return i.x=i.y,i.y=i.z,i.z=i.w,i.w=i.v,(i.d=i.d+362437|0)+(i.v=i.v^i.v<<4^(c^c<<1))|0},i.x=0,i.y=0,i.z=0,i.w=0,i.v=0,a===(a|0)?i.x=a:p+=a;for(var u=0;u>>4),i.next()}function n(a,i){return i.x=a.x,i.y=a.y,i.z=a.z,i.w=a.w,i.v=a.v,i.d=a.d,i}function s(a,i){var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorwow=s})(M2,typeof Tw=="object"&&Tw,typeof define=="function"&&define)});var z2=qt((B2,_w)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.x,c=i.i,l,m,d;return l=u[c],l^=l>>>7,m=l^l<<24,l=u[c+1&7],m^=l^l>>>10,l=u[c+3&7],m^=l^l>>>3,l=u[c+4&7],m^=l^l<<7,l=u[c+7&7],l=l^l<<13,m^=l^l<<9,u[c]=m,i.i=c+1&7,m};function p(u,c){var l,m,d=[];if(c===(c|0))m=d[0]=c;else for(c=""+c,l=0;l0;--l)u.next()}p(i,a)}function n(a,i){return i.x=a.x.slice(),i.i=a.i,i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.x&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xorshift7=s})(B2,typeof _w=="object"&&_w,typeof define=="function"&&define)});var W2=qt((V2,$w)=>{(function(r,e,t){function o(a){var i=this;i.next=function(){var u=i.w,c=i.X,l=i.i,m,d;return i.w=u=u+1640531527|0,d=c[l+34&127],m=c[l=l+1&127],d^=d<<13,m^=m<<17,d^=d>>>15,m^=m>>>12,d=c[l]=d^m,i.i=l,d+(u^u>>>16)|0};function p(u,c){var l,m,d,f,h,g=[],x=128;for(c===(c|0)?(m=c,c=null):(c=c+"\0",m=0,x=Math.max(x,c.length)),d=0,f=-32;f>>15,m^=m<<4,m^=m>>>13,f>=0&&(h=h+1640531527|0,l=g[f&127]^=m+h,d=l==0?d+1:0);for(d>=128&&(g[(c&&c.length||0)&127]=-1),d=127,f=4*128;f>0;--f)m=g[d+34&127],l=g[d=d+1&127],m^=m<<13,l^=l<<17,m^=m>>>15,l^=l>>>12,g[d]=m^l;u.w=h,u.X=g,u.i=d}p(i,a)}function n(a,i){return i.i=a.i,i.w=a.w,i.X=a.X.slice(),i}function s(a,i){a==null&&(a=+new Date);var p=new o(a),u=i&&i.state,c=function(){return(p.next()>>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(u.X&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.xor4096=s})(V2,typeof $w=="object"&&$w,typeof define=="function"&&define)});var G2=qt((U2,Ew)=>{(function(r,e,t){function o(a){var i=this,p="";i.next=function(){var c=i.b,l=i.c,m=i.d,d=i.a;return c=c<<25^c>>>7^l,l=l-m|0,m=m<<24^m>>>8^d,d=d-c|0,i.b=c=c<<20^c>>>12^l,i.c=l=l-m|0,i.d=m<<16^l>>>16^d,i.a=d-c|0},i.a=0,i.b=0,i.c=-1640531527,i.d=1367130551,a===Math.floor(a)?(i.a=a/4294967296|0,i.b=a|0):p+=a;for(var u=0;u>>0)/4294967296};return c.double=function(){do var l=p.next()>>>11,m=(p.next()>>>0)/4294967296,d=(l+m)/(1<<21);while(d===0);return d},c.int32=p.next,c.quick=c,u&&(typeof u=="object"&&n(u,p),c.state=function(){return n(p,{})}),c}e&&e.exports?e.exports=s:t&&t.amd?t(function(){return s}):this.tychei=s})(U2,typeof Ew=="object"&&Ew,typeof define=="function"&&define)});var H2=qt(()=>{});var q2=qt((K2,Fd)=>{(function(r,e,t){var o=256,n=6,s=52,a="random",i=t.pow(o,n),p=t.pow(2,s),u=p*2,c=o-1,l;function m(w,S,k){var _=[];S=S==!0?{entropy:!0}:S||{};var E=g(h(S.entropy?[w,b(e)]:w==null?x():w,3),_),R=new d(_),D=function(){for(var F=R.g(n),O=i,M=0;F=u;)F/=2,O/=2,M>>>=1;return(F+M)/O};return D.int32=function(){return R.g(4)|0},D.quick=function(){return R.g(4)/4294967296},D.double=D,g(b(R.S),e),(S.pass||k||function(F,O,M,L){return L&&(L.S&&f(L,R),F.state=function(){return f(R,{})}),M?(t[a]=F,O):F})(D,E,"global"in S?S.global:this==t,S.state)}function d(w){var S,k=w.length,_=this,E=0,R=_.i=_.j=0,D=_.S=[];for(k||(w=[k++]);E{var VK=F2(),WK=O2(),UK=L2(),GK=z2(),HK=W2(),KK=G2(),Uu=q2();Uu.alea=VK;Uu.xor128=WK;Uu.xorwow=UK;Uu.xorshift7=GK;Uu.xor4096=HK;Uu.tychei=KK;j2.exports=Uu});var Sv=qt(()=>{});var Iv=qt(()=>{});var ZL=qt(()=>{});var JL=qt(()=>{});var eB=qt(()=>{});var tB=qt((Bg,kv)=>{var vv=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(e){e=e||{};function t(){return oe.buffer!=We&&Tt(oe.buffer),mt}function o(){return oe.buffer!=We&&Tt(oe.buffer),it}function n(){return oe.buffer!=We&&Tt(oe.buffer),ht}function s(){return oe.buffer!=We&&Tt(oe.buffer),Or}function a(){return oe.buffer!=We&&Tt(oe.buffer),Mt}function i(){return oe.buffer!=We&&Tt(oe.buffer),Qr}function p(){return oe.buffer!=We&&Tt(oe.buffer),or}var u=typeof e!="undefined"?e:{},c,l;u.ready=new Promise(function(A,V){c=A,l=V});var m;typeof process!="undefined"&&process.listeners&&(m={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var d=Object.assign({},u),f=[],h="./this.program",g=(A,V)=>{throw V},x=typeof window=="object",b=typeof importScripts=="function",w=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",S=u.ENVIRONMENT_IS_PTHREAD||!1,k="";function _(A){return u.locateFile?u.locateFile(A,k):k+A}var E,R,D,F;function O(A){if(A instanceof Iu)return;j("exiting due to exception: "+A)}if(w){var M=Sv(),L=Iv();b?k=L.dirname(k)+"/":k=__dirname+"/",E=(V,ue)=>(V=Ap(V)?new URL(V):L.normalize(V),M.readFileSync(V,ue?void 0:"utf8")),D=V=>{var ue=E(V,!0);return ue.buffer||(ue=new Uint8Array(ue)),ue},R=(V,ue,Ee)=>{V=Ap(V)?new URL(V):L.normalize(V),M.readFile(V,function(Be,Le){Be?Ee(Be):ue(Le.buffer)})},process.argv.length>1&&(h=process.argv[1].replace(/\\/g,"/")),f=process.argv.slice(2),process.on("uncaughtException",function(V){if(!(V instanceof Iu))throw V}),process.on("unhandledRejection",function(V){throw V}),g=(V,ue)=>{if(Mo())throw process.exitCode=V,ue;O(ue),process.exit(V)},u.inspect=function(){return"[Emscripten Module object]"};let A;try{A=ZL()}catch(V){throw console.error('The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'),V}global.Worker=A.Worker}else(x||b)&&(b?k=self.location.href:typeof document!="undefined"&&document.currentScript&&(k=document.currentScript.src),typeof r!="undefined"&&r&&(k=r),k.indexOf("blob:")!==0?k=k.substr(0,k.replace(/[?#].*/,"").lastIndexOf("/")+1):k="",w||(E=A=>{var V=new XMLHttpRequest;return V.open("GET",A,!1),V.send(null),V.responseText},b&&(D=A=>{var V=new XMLHttpRequest;return V.open("GET",A,!1),V.responseType="arraybuffer",V.send(null),new Uint8Array(V.response)}),R=(A,V,ue)=>{var Ee=new XMLHttpRequest;Ee.open("GET",A,!0),Ee.responseType="arraybuffer",Ee.onload=()=>{if(Ee.status==200||Ee.status==0&&Ee.response){V(Ee.response);return}ue()},Ee.onerror=ue,Ee.send(null)}),F=A=>document.title=A);w&&typeof performance=="undefined"&&(global.performance=JL().performance);var B=console.log.bind(console),z=console.warn.bind(console);w&&(B=A=>M.writeSync(1,A+` +`),z=A=>M.writeSync(2,A+` +`));var U=u.print||B,j=u.printErr||z;Object.assign(u,d),d=null,u.arguments&&(f=u.arguments),u.thisProgram&&(h=u.thisProgram),u.quit&&(g=u.quit);var H=4,X=Atomics.load,J=Atomics.store,re=Atomics.compareExchange,ne;u.wasmBinary&&(ne=u.wasmBinary);var ee=u.noExitRuntime||!0;typeof WebAssembly!="object"&&Su("no native wasm support detected");var oe,ie,le=!1,ye;function _e(A,V){A||Su(V)}var ve=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function Fe(A,V,ue){V>>>=0;for(var Ee=V+ue,Be=V;A[Be]&&!(Be>=Ee);)++Be;if(Be-V>16&&A.buffer&&ve)return ve.decode(A.buffer instanceof SharedArrayBuffer?A.slice(V,Be):A.subarray(V,Be));for(var Le="";V>10,56320|to&1023)}}return Le}function Pe(A,V){return A>>>=0,A?Fe(o(),A,V):""}function st(A,V,ue,Ee){if(ue>>>=0,!(Ee>0))return 0;for(var Be=ue,Le=ue+Ee-1,he=0;he=55296&&Ne<=57343){var Ft=A.charCodeAt(++he);Ne=65536+((Ne&1023)<<10)|Ft&1023}if(Ne<=127){if(ue>=Le)break;V[ue++>>>0]=Ne}else if(Ne<=2047){if(ue+1>=Le)break;V[ue++>>>0]=192|Ne>>6,V[ue++>>>0]=128|Ne&63}else if(Ne<=65535){if(ue+2>=Le)break;V[ue++>>>0]=224|Ne>>12,V[ue++>>>0]=128|Ne>>6&63,V[ue++>>>0]=128|Ne&63}else{if(ue+3>=Le)break;V[ue++>>>0]=240|Ne>>18,V[ue++>>>0]=128|Ne>>12&63,V[ue++>>>0]=128|Ne>>6&63,V[ue++>>>0]=128|Ne&63}}return V[ue>>>0]=0,ue-Be}function lt(A,V,ue){return st(A,o(),V,ue)}var We,mt,it,ht,gt,Or,Mt,Qr,or;S&&(We=u.buffer);function Tt(A){We=A,u.HEAP8=mt=new Int8Array(A),u.HEAP16=ht=new Int16Array(A),u.HEAP32=Or=new Int32Array(A),u.HEAPU8=it=new Uint8Array(A),u.HEAPU16=gt=new Uint16Array(A),u.HEAPU32=Mt=new Uint32Array(A),u.HEAPF32=Qr=new Float32Array(A),u.HEAPF64=or=new Float64Array(A)}var nr=u.INITIAL_MEMORY||16777216;if(S)oe=u.wasmMemory,We=u.buffer;else if(u.wasmMemory)oe=u.wasmMemory;else if(oe=new WebAssembly.Memory({initial:nr/65536,maximum:65536,shared:!0}),!(oe.buffer instanceof SharedArrayBuffer))throw j("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),w&&j("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)"),Error("bad memory");oe&&(We=oe.buffer),nr=We.byteLength,Tt(We);var sr,Zr=[],Jr=[],fr=[],Fa=!1;function Mo(){return ee}function Vs(){if(u.preRun)for(typeof u.preRun=="function"&&(u.preRun=[u.preRun]);u.preRun.length;)el(u.preRun.shift());ol(Zr)}function Xt(){Fa=!0,!S&&ol(Jr)}function Pa(){if(!S){if(u.postRun)for(typeof u.postRun=="function"&&(u.postRun=[u.postRun]);u.postRun.length;)jv(u.postRun.shift());ol(fr)}}function el(A){Zr.unshift(A)}function tl(A){Jr.unshift(A)}function jv(A){fr.unshift(A)}var wi=0,Dp=null,Oa=null;function ly(A){wi++,u.monitorRunDependencies&&u.monitorRunDependencies(wi)}function xm(A){if(wi--,u.monitorRunDependencies&&u.monitorRunDependencies(wi),wi==0&&(Dp!==null&&(clearInterval(Dp),Dp=null),Oa)){var V=Oa;Oa=null,V()}}function Su(A){u.onAbort&&u.onAbort(A),A="Aborted("+A+")",j(A),le=!0,ye=1,A+=". Build with -sASSERTIONS for more info.";var V=new WebAssembly.RuntimeError(A);throw l(V),V}var my="data:application/octet-stream;base64,";function ym(A){return A.startsWith(my)}function Ap(A){return A.startsWith("file://")}var hr;hr="tfjs-backend-wasm-threaded-simd.wasm",ym(hr)||(hr=_(hr));function bm(A){try{if(A==hr&&ne)return new Uint8Array(ne);if(D)return D(A);throw"both async and sync fetching of the wasm failed"}catch(V){Su(V)}}function dy(){if(!ne&&(x||b)){if(typeof fetch=="function"&&!Ap(hr))return fetch(hr,{credentials:"same-origin"}).then(function(A){if(!A.ok)throw"failed to load wasm binary file at '"+hr+"'";return A.arrayBuffer()}).catch(function(){return bm(hr)});if(R)return new Promise(function(A,V){R(hr,function(ue){A(new Uint8Array(ue))},V)})}return Promise.resolve().then(function(){return bm(hr)})}function fy(){var A={env:Dm,wasi_snapshot_preview1:Dm};function V(he,Ne){var Ft=he.exports;if(u.asm=Ft,Iy(u.asm._emscripten_tls_init),sr=u.asm.__indirect_function_table,tl(u.asm.__wasm_call_ctors),ie=Ne,!S){var to=Me.unusedWorkers.length;Me.unusedWorkers.forEach(function(La){Me.loadWasmModuleToWorker(La,function(){--to||xm("wasm-instantiate")})})}}S||ly("wasm-instantiate");function ue(he){V(he.instance,he.module)}function Ee(he){return dy().then(function(Ne){return WebAssembly.instantiate(Ne,A)}).then(function(Ne){return Ne}).then(he,function(Ne){j("failed to asynchronously prepare wasm: "+Ne),Su(Ne)})}function Be(){return!ne&&typeof WebAssembly.instantiateStreaming=="function"&&!ym(hr)&&!Ap(hr)&&!w&&typeof fetch=="function"?fetch(hr,{credentials:"same-origin"}).then(function(he){var Ne=WebAssembly.instantiateStreaming(he,A);return Ne.then(ue,function(Ft){return j("wasm streaming compile failed: "+Ft),j("falling back to ArrayBuffer instantiation"),Ee(ue)})}):Ee(ue)}if(u.instantiateWasm)try{var Le=u.instantiateWasm(A,V);return Le}catch(he){j("Module.instantiateWasm callback failed with error: "+he),l(he)}return Be().catch(l),{}}var Xv,Yv,Cm={};function Iu(A){this.name="ExitStatus",this.message="Program terminated with exit("+A+")",this.status=A}function hy(A){var V=Me.pthreads[A];delete Me.pthreads[A],V.terminate(),DC(A),Me.runningWorkers.splice(Me.runningWorkers.indexOf(V),1),V.pthread_ptr=0}function gy(A){var V=Me.pthreads[A];V.postMessage({cmd:"cancel"})}function rl(A){var V=Me.pthreads[A];_e(V),Me.returnWorkerToPool(V)}function xy(A){var V=Me.getNewWorker();if(!V)return 6;Me.runningWorkers.push(V),Me.pthreads[A.pthread_ptr]=V,V.pthread_ptr=A.pthread_ptr;var ue={cmd:"run",start_routine:A.startRoutine,arg:A.arg,pthread_ptr:A.pthread_ptr};return V.runPthread=()=>{w&&V.ref(),V.postMessage(ue,A.transferList),delete V.runPthread},V.loaded&&V.runPthread(),0}var wm={varargs:void 0,get:function(){wm.varargs+=4;var A=s()[wm.varargs-4>>>2];return A},getStr:function(A){var V=Pe(A);return V}};function Sm(A){if(S)return Si(1,1,A);ye=A,Mo()||(Me.terminateAllThreads(),u.onExit&&u.onExit(A),le=!0),g(A,new Iu(A))}function yy(A,V){if(ye=A,!V&&S)throw vm(A),"unwind";Sm(A)}var Im=yy;function by(A){if(A instanceof Iu||A=="unwind")return ye;g(1,A)}var Me={unusedWorkers:[],runningWorkers:[],tlsInitFunctions:[],pthreads:{},init:function(){S?Me.initWorker():Me.initMainThread()},initMainThread:function(){for(var A=8;A--;)Me.allocateUnusedWorker()},initWorker:function(){ee=!1},setExitStatus:function(A){ye=A},terminateAllThreads:function(){for(var A of Object.values(Me.pthreads))Me.returnWorkerToPool(A);for(var A of Me.unusedWorkers)A.terminate();Me.unusedWorkers=[]},returnWorkerToPool:function(A){var V=A.pthread_ptr;delete Me.pthreads[V],Me.unusedWorkers.push(A),Me.runningWorkers.splice(Me.runningWorkers.indexOf(A),1),A.pthread_ptr=0,w&&A.unref(),DC(V)},receiveObjectTransfer:function(A){},threadInitTLS:function(){Me.tlsInitFunctions.forEach(A=>A())},loadWasmModuleToWorker:function(A,V){A.onmessage=Le=>{var he=Le.data,Ne=he.cmd;if(A.pthread_ptr&&(Me.currentProxiedOperationCallerThread=A.pthread_ptr),he.targetThread&&he.targetThread!=Lm()){var Ft=Me.pthreads[he.targetThread];Ft?Ft.postMessage(he,he.transferList):j('Internal error! Worker sent a message "'+Ne+'" to target pthread '+he.targetThread+", but that thread no longer exists!"),Me.currentProxiedOperationCallerThread=void 0;return}Ne==="processProxyingQueue"?nl(he.queue):Ne==="spawnThread"?xy(he):Ne==="cleanupThread"?rl(he.thread):Ne==="killThread"?hy(he.thread):Ne==="cancelThread"?gy(he.thread):Ne==="loaded"?(A.loaded=!0,w&&A.unref(),V&&V(A),A.runPthread&&A.runPthread()):Ne==="print"?U("Thread "+he.threadId+": "+he.text):Ne==="printErr"?j("Thread "+he.threadId+": "+he.text):Ne==="alert"?alert("Thread "+he.threadId+": "+he.text):he.target==="setimmediate"?A.postMessage(he):Ne==="callHandler"?u[he.handler](...he.args):Ne&&j("worker sent an unknown command "+Ne),Me.currentProxiedOperationCallerThread=void 0},A.onerror=Le=>{var he="worker sent an error!";throw j(he+" "+Le.filename+":"+Le.lineno+": "+Le.message),Le},w&&(A.on("message",function(Le){A.onmessage({data:Le})}),A.on("error",function(Le){A.onerror(Le)}),A.on("detachedExit",function(){}));var ue=[],Ee=["onExit","onAbort","print","printErr"];for(var Be of Ee)u.hasOwnProperty(Be)&&ue.push(Be);A.postMessage({cmd:"load",handlers:ue,urlOrBlob:u.mainScriptUrlOrBlob||r,wasmMemory:oe,wasmModule:ie})},allocateUnusedWorker:function(){var A,V=_("tfjs-backend-wasm-threaded-simd.worker.js");A=new Worker(V),Me.unusedWorkers.push(A)},getNewWorker:function(){return Me.unusedWorkers.length==0&&(Me.allocateUnusedWorker(),Me.loadWasmModuleToWorker(Me.unusedWorkers[0])),Me.unusedWorkers.pop()}};u.PThread=Me;function ol(A){for(;A.length>0;)A.shift()(u)}function Cy(){var A=Lm(),V=s()[A+52>>>2],ue=s()[A+56>>>2],Ee=V-ue;r0(V,Ee),Bm(V)}u.establishStackSpace=Cy;function vm(A){if(S)return Si(2,0,A);try{Im(A)}catch(V){by(V)}}var Fp=[];function wy(A){var V=Fp[A];return V||(A>=Fp.length&&(Fp.length=A+1),Fp[A]=V=sr.get(A)),V}function Sy(A,V){var ue=wy(A)(V);Mo()?Me.setExitStatus(ue):t0(ue)}u.invokeEntryPoint=Sy;function Iy(A){Me.tlsInitFunctions.push(A)}function vy(A){Zv(A,!b,1,!x),Me.threadInitTLS()}function ky(A){S?postMessage({cmd:"cleanupThread",thread:A}):rl(A)}function km(A,V,ue,Ee){return S?Si(3,1,A,V,ue,Ee):Nm(A,V,ue,Ee)}function Nm(A,V,ue,Ee){if(typeof SharedArrayBuffer=="undefined")return j("Current environment does not support SharedArrayBuffer, pthreads are not available!"),6;var Be=[],Le=0;if(S&&(Be.length===0||Le))return km(A,V,ue,Ee);if(Le)return Le;var he={startRoutine:ue,pthread_ptr:A,arg:Ee,transferList:Be};return S?(he.cmd="spawnThread",postMessage(he,Be),0):xy(he)}function Ny(){return 65536}var Ty=!0;function _y(){return Ty}function nl(A){Atomics.store(s(),A>>2,1),Lm()&&e0(A),Atomics.compareExchange(s(),A>>2,1,0)}u.executeNotifiedProxyingQueue=nl;function $y(A,V,ue,Ee){if(A==V)setTimeout(()=>nl(Ee));else if(S)postMessage({targetThread:A,cmd:"processProxyingQueue",queue:Ee});else{var Be=Me.pthreads[A];if(!Be)return;Be.postMessage({cmd:"processProxyingQueue",queue:Ee})}return 1}function Ey(A,V,ue){return-1}function Ry(){Su("")}function vu(A){vu.shown||(vu.shown={}),vu.shown[A]||(vu.shown[A]=1,w&&(A="warning: "+A),j(A))}function Dy(){w||b||vu("Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread")}function Ay(){return Date.now()}function Tm(){return 4294901760}function Fy(){return Tm()}var sl;w?sl=()=>{var A=process.hrtime();return A[0]*1e3+A[1]/1e6}:sl=()=>performance.timeOrigin+performance.now();function Py(A,V,ue){o().copyWithin(A>>>0,V>>>0,V+ue>>>0)}function Oy(){return w?eB().cpus().length:navigator.hardwareConcurrency}function My(A){var V=AC(),ue=A();return Bm(V),ue}function Si(A,V){var ue=arguments.length-2,Ee=arguments;return My(()=>{for(var Be=ue,Le=zm(Be*8),he=Le>>3,Ne=0;Ne>>0]=Ft}return Jv(A,Be,Le,V)})}var al=[];function Ly(A,V,ue){al.length=V;for(var Ee=ue>>3,Be=0;Be>>0];var Le=A<0,he=Le?Cm[-A-1]:qy[A];return he.apply(null,al)}function By(A){try{return oe.grow(A-We.byteLength+65535>>>16),Tt(oe.buffer),1}catch(V){}}function zy(A){var V=o().length;if(A=A>>>0,A<=V)return!1;var ue=Tm();if(A>ue)return!1;let Ee=(Ft,to)=>Ft+(to-Ft%to)%to;for(var Be=1;Be<=4;Be*=2){var Le=V*(1+.2/Be);Le=Math.min(Le,A+100663296);var he=Math.min(ue,Ee(Math.max(A,Le),65536)),Ne=By(he);if(Ne)return!0}return!1}function Vy(){throw"unwind"}function _m(A){return S?Si(4,1,A):52}function $m(A,V,ue,Ee,Be){return S?Si(5,1,A,V,ue,Ee,Be):70}var Wy=[null,[],[]];function Uy(A,V){var ue=Wy[A];V===0||V===10?((A===1?U:j)(Fe(ue,0)),ue.length=0):ue.push(V)}function Em(A,V,ue,Ee){if(S)return Si(6,1,A,V,ue,Ee);for(var Be=0,Le=0;Le>>2],Ne=a()[V+4>>>2];V+=8;for(var Ft=0;Ft>>0]);Be+=Ne}return a()[Ee>>>2]=Be,0}function Rm(A){var V=u["_"+A];return V}function Gy(A,V){t().set(A,V>>>0)}function Hy(A,V,ue,Ee,Be){var Le={string:Mr=>{var Lp=0;if(Mr!=null&&Mr!==0){var s0=(Mr.length<<2)+1;Lp=zm(s0),lt(Mr,Lp,s0)}return Lp},array:Mr=>{var Lp=zm(Mr.length);return Gy(Mr,Lp),Lp}};function he(Mr){return V==="string"?Pe(Mr):V==="boolean"?!!Mr:Mr}var Ne=Rm(A),Ft=[],to=0;if(Ee)for(var La=0;Lahe==="number"||he==="boolean"),Le=V!=="string";return Le&&Be&&!Ee?Rm(A):function(){return Hy(A,V,ue,arguments,Ee)}}Me.init();var qy=[null,Sm,vm,km,_m,$m,Em],Dm={__emscripten_init_main_thread_js:vy,__emscripten_thread_cleanup:ky,__pthread_create_js:Nm,_emscripten_default_pthread_stack_size:Ny,_emscripten_get_now_is_monotonic:_y,_emscripten_notify_task_queue:$y,_emscripten_set_offscreencanvas_size:Ey,abort:Ry,emscripten_check_blocking_allowed:Dy,emscripten_date_now:Ay,emscripten_get_heap_max:Fy,emscripten_get_now:sl,emscripten_memcpy_big:Py,emscripten_num_logical_cores:Oy,emscripten_receive_on_main_thread_js:Ly,emscripten_resize_heap:zy,emscripten_unwind_to_js_event_loop:Vy,exit:Im,fd_close:_m,fd_seek:$m,fd_write:Em,memory:oe||u.wasmMemory},Qv=fy(),jy=u.___wasm_call_ctors=function(){return(jy=u.___wasm_call_ctors=u.asm.__wasm_call_ctors).apply(null,arguments)},Xy=u._init=function(){return(Xy=u._init=u.asm.init).apply(null,arguments)},Yy=u._init_with_threads_count=function(){return(Yy=u._init_with_threads_count=u.asm.init_with_threads_count).apply(null,arguments)},Qy=u._get_threads_count=function(){return(Qy=u._get_threads_count=u.asm.get_threads_count).apply(null,arguments)},Zy=u._register_tensor=function(){return(Zy=u._register_tensor=u.asm.register_tensor).apply(null,arguments)},Jy=u._dispose_data=function(){return(Jy=u._dispose_data=u.asm.dispose_data).apply(null,arguments)},eb=u._dispose=function(){return(eb=u._dispose=u.asm.dispose).apply(null,arguments)},tb=u._Abs=function(){return(tb=u._Abs=u.asm.Abs).apply(null,arguments)},rb=u._Acos=function(){return(rb=u._Acos=u.asm.Acos).apply(null,arguments)},ob=u._Acosh=function(){return(ob=u._Acosh=u.asm.Acosh).apply(null,arguments)},nb=u._Add=function(){return(nb=u._Add=u.asm.Add).apply(null,arguments)},sb=u._AddN=function(){return(sb=u._AddN=u.asm.AddN).apply(null,arguments)},ab=u._All=function(){return(ab=u._All=u.asm.All).apply(null,arguments)},ib=u._Any=function(){return(ib=u._Any=u.asm.Any).apply(null,arguments)},ub=u._ArgMax=function(){return(ub=u._ArgMax=u.asm.ArgMax).apply(null,arguments)},pb=u._ArgMin=function(){return(pb=u._ArgMin=u.asm.ArgMin).apply(null,arguments)},cb=u._Asin=function(){return(cb=u._Asin=u.asm.Asin).apply(null,arguments)},lb=u._Asinh=function(){return(lb=u._Asinh=u.asm.Asinh).apply(null,arguments)},mb=u._Atan=function(){return(mb=u._Atan=u.asm.Atan).apply(null,arguments)},db=u._Atan2=function(){return(db=u._Atan2=u.asm.Atan2).apply(null,arguments)},fb=u._Atanh=function(){return(fb=u._Atanh=u.asm.Atanh).apply(null,arguments)},hb=u._AvgPool=function(){return(hb=u._AvgPool=u.asm.AvgPool).apply(null,arguments)},gb=u._AvgPool3D=function(){return(gb=u._AvgPool3D=u.asm.AvgPool3D).apply(null,arguments)},xb=u._AvgPool3DGrad=function(){return(xb=u._AvgPool3DGrad=u.asm.AvgPool3DGrad).apply(null,arguments)},yb=u._BatchMatMul=function(){return(yb=u._BatchMatMul=u.asm.BatchMatMul).apply(null,arguments)},bb=u._Bincount=function(){return(bb=u._Bincount=u.asm.Bincount).apply(null,arguments)},Cb=u._Ceil=function(){return(Cb=u._Ceil=u.asm.Ceil).apply(null,arguments)},wb=u._ClipByValue=function(){return(wb=u._ClipByValue=u.asm.ClipByValue).apply(null,arguments)},Sb=u._Conv2D=function(){return(Sb=u._Conv2D=u.asm.Conv2D).apply(null,arguments)},Ib=u._Conv2DBackpropInput=function(){return(Ib=u._Conv2DBackpropInput=u.asm.Conv2DBackpropInput).apply(null,arguments)},vb=u._Conv3D=function(){return(vb=u._Conv3D=u.asm.Conv3D).apply(null,arguments)},kb=u._Conv3DBackpropFilterV2=function(){return(kb=u._Conv3DBackpropFilterV2=u.asm.Conv3DBackpropFilterV2).apply(null,arguments)},Nb=u._Conv3DBackpropInputV2=function(){return(Nb=u._Conv3DBackpropInputV2=u.asm.Conv3DBackpropInputV2).apply(null,arguments)},Tb=u._Cos=function(){return(Tb=u._Cos=u.asm.Cos).apply(null,arguments)},_b=u._Cosh=function(){return(_b=u._Cosh=u.asm.Cosh).apply(null,arguments)},$b=u._CropAndResize=function(){return($b=u._CropAndResize=u.asm.CropAndResize).apply(null,arguments)},Eb=u._Cumprod=function(){return(Eb=u._Cumprod=u.asm.Cumprod).apply(null,arguments)},Rb=u._Cumsum=function(){return(Rb=u._Cumsum=u.asm.Cumsum).apply(null,arguments)},Db=u._DenseBincount=function(){return(Db=u._DenseBincount=u.asm.DenseBincount).apply(null,arguments)},Ab=u._DepthToSpace=function(){return(Ab=u._DepthToSpace=u.asm.DepthToSpace).apply(null,arguments)},Fb=u._DepthwiseConv2dNative=function(){return(Fb=u._DepthwiseConv2dNative=u.asm.DepthwiseConv2dNative).apply(null,arguments)},Pb=u._Diag=function(){return(Pb=u._Diag=u.asm.Diag).apply(null,arguments)},Ob=u._Dilation2D=function(){return(Ob=u._Dilation2D=u.asm.Dilation2D).apply(null,arguments)},Mb=u._Dilation2DBackpropFilter=function(){return(Mb=u._Dilation2DBackpropFilter=u.asm.Dilation2DBackpropFilter).apply(null,arguments)},Lb=u._Dilation2DBackpropInput=function(){return(Lb=u._Dilation2DBackpropInput=u.asm.Dilation2DBackpropInput).apply(null,arguments)},Bb=u._Elu=function(){return(Bb=u._Elu=u.asm.Elu).apply(null,arguments)},zb=u._EluGrad=function(){return(zb=u._EluGrad=u.asm.EluGrad).apply(null,arguments)},Vb=u._Equal=function(){return(Vb=u._Equal=u.asm.Equal).apply(null,arguments)},Wb=u._Exp=function(){return(Wb=u._Exp=u.asm.Exp).apply(null,arguments)},Ub=u._Expm1=function(){return(Ub=u._Expm1=u.asm.Expm1).apply(null,arguments)},Gb=u._FlipLeftRight=function(){return(Gb=u._FlipLeftRight=u.asm.FlipLeftRight).apply(null,arguments)},Hb=u._Floor=function(){return(Hb=u._Floor=u.asm.Floor).apply(null,arguments)},Kb=u._FloorDiv=function(){return(Kb=u._FloorDiv=u.asm.FloorDiv).apply(null,arguments)},qb=u._FusedBatchNorm=function(){return(qb=u._FusedBatchNorm=u.asm.FusedBatchNorm).apply(null,arguments)},jb=u._FusedConv2D=function(){return(jb=u._FusedConv2D=u.asm.FusedConv2D).apply(null,arguments)},Xb=u._FusedDepthwiseConv2D=function(){return(Xb=u._FusedDepthwiseConv2D=u.asm.FusedDepthwiseConv2D).apply(null,arguments)},Yb=u._Gather=function(){return(Yb=u._Gather=u.asm.Gather).apply(null,arguments)},Qb=u._GatherNd=function(){return(Qb=u._GatherNd=u.asm.GatherNd).apply(null,arguments)},Zb=u._Greater=function(){return(Zb=u._Greater=u.asm.Greater).apply(null,arguments)},Jb=u._GreaterEqual=function(){return(Jb=u._GreaterEqual=u.asm.GreaterEqual).apply(null,arguments)},eC=u._IsFinite=function(){return(eC=u._IsFinite=u.asm.IsFinite).apply(null,arguments)},tC=u._IsInf=function(){return(tC=u._IsInf=u.asm.IsInf).apply(null,arguments)},rC=u._IsNan=function(){return(rC=u._IsNan=u.asm.IsNan).apply(null,arguments)},oC=u._LRN=function(){return(oC=u._LRN=u.asm.LRN).apply(null,arguments)},nC=u._LRNGrad=function(){return(nC=u._LRNGrad=u.asm.LRNGrad).apply(null,arguments)},sC=u._LeakyRelu=function(){return(sC=u._LeakyRelu=u.asm.LeakyRelu).apply(null,arguments)},aC=u._Less=function(){return(aC=u._Less=u.asm.Less).apply(null,arguments)},iC=u._LessEqual=function(){return(iC=u._LessEqual=u.asm.LessEqual).apply(null,arguments)},uC=u._LinSpace=function(){return(uC=u._LinSpace=u.asm.LinSpace).apply(null,arguments)},pC=u._Log=function(){return(pC=u._Log=u.asm.Log).apply(null,arguments)},cC=u._Log1p=function(){return(cC=u._Log1p=u.asm.Log1p).apply(null,arguments)},lC=u._LogicalAnd=function(){return(lC=u._LogicalAnd=u.asm.LogicalAnd).apply(null,arguments)},mC=u._LogicalNot=function(){return(mC=u._LogicalNot=u.asm.LogicalNot).apply(null,arguments)},dC=u._LogicalOr=function(){return(dC=u._LogicalOr=u.asm.LogicalOr).apply(null,arguments)},fC=u._LogicalXor=function(){return(fC=u._LogicalXor=u.asm.LogicalXor).apply(null,arguments)},hC=u._Max=function(){return(hC=u._Max=u.asm.Max).apply(null,arguments)},gC=u._MaxPool=function(){return(gC=u._MaxPool=u.asm.MaxPool).apply(null,arguments)},xC=u._MaxPool3D=function(){return(xC=u._MaxPool3D=u.asm.MaxPool3D).apply(null,arguments)},yC=u._MaxPool3DGrad=function(){return(yC=u._MaxPool3DGrad=u.asm.MaxPool3DGrad).apply(null,arguments)},bC=u._Maximum=function(){return(bC=u._Maximum=u.asm.Maximum).apply(null,arguments)},CC=u._Mean=function(){return(CC=u._Mean=u.asm.Mean).apply(null,arguments)},wC=u._Min=function(){return(wC=u._Min=u.asm.Min).apply(null,arguments)},SC=u._Minimum=function(){return(SC=u._Minimum=u.asm.Minimum).apply(null,arguments)},IC=u._MirrorPad=function(){return(IC=u._MirrorPad=u.asm.MirrorPad).apply(null,arguments)},vC=u._Multinomial=function(){return(vC=u._Multinomial=u.asm.Multinomial).apply(null,arguments)},kC=u._Multiply=function(){return(kC=u._Multiply=u.asm.Multiply).apply(null,arguments)},NC=u._Neg=function(){return(NC=u._Neg=u.asm.Neg).apply(null,arguments)},TC=u._NonMaxSuppressionV3=function(){return(TC=u._NonMaxSuppressionV3=u.asm.NonMaxSuppressionV3).apply(null,arguments)},Am=u._NonMaxSuppressionV4=function(){return(Am=u._NonMaxSuppressionV4=u.asm.NonMaxSuppressionV4).apply(null,arguments)},Fm=u._NonMaxSuppressionV5=function(){return(Fm=u._NonMaxSuppressionV5=u.asm.NonMaxSuppressionV5).apply(null,arguments)},il=u._NotEqual=function(){return(il=u._NotEqual=u.asm.NotEqual).apply(null,arguments)},_C=u._OneHot=function(){return(_C=u._OneHot=u.asm.OneHot).apply(null,arguments)},$C=u._PadV2=function(){return($C=u._PadV2=u.asm.PadV2).apply(null,arguments)},Pp=u._Pow=function(){return(Pp=u._Pow=u.asm.Pow).apply(null,arguments)},Pm=u._Prelu=function(){return(Pm=u._Prelu=u.asm.Prelu).apply(null,arguments)},Op=u._Prod=function(){return(Op=u._Prod=u.asm.Prod).apply(null,arguments)},Mp=u._RealDiv=function(){return(Mp=u._RealDiv=u.asm.RealDiv).apply(null,arguments)},EC=u._Reciprocal=function(){return(EC=u._Reciprocal=u.asm.Reciprocal).apply(null,arguments)},G=u._Relu=function(){return(G=u._Relu=u.asm.Relu).apply(null,arguments)},ae=u._Relu6=function(){return(ae=u._Relu6=u.asm.Relu6).apply(null,arguments)},$e=u._ResizeBilinear=function(){return($e=u._ResizeBilinear=u.asm.ResizeBilinear).apply(null,arguments)},at=u._ResizeBilinearGrad=function(){return(at=u._ResizeBilinearGrad=u.asm.ResizeBilinearGrad).apply(null,arguments)},_t=u._ResizeNearestNeighbor=function(){return(_t=u._ResizeNearestNeighbor=u.asm.ResizeNearestNeighbor).apply(null,arguments)},$t=u._ResizeNearestNeighborGrad=function(){return($t=u._ResizeNearestNeighborGrad=u.asm.ResizeNearestNeighborGrad).apply(null,arguments)},Xe=u._Reverse=function(){return(Xe=u._Reverse=u.asm.Reverse).apply(null,arguments)},Ge=u._RotateWithOffset=function(){return(Ge=u._RotateWithOffset=u.asm.RotateWithOffset).apply(null,arguments)},Gt=u._Round=function(){return(Gt=u._Round=u.asm.Round).apply(null,arguments)},eo=u._Rsqrt=function(){return(eo=u._Rsqrt=u.asm.Rsqrt).apply(null,arguments)},Ma=u._ScatterNd=function(){return(Ma=u._ScatterNd=u.asm.ScatterNd).apply(null,arguments)},Om=u._SearchSorted=function(){return(Om=u._SearchSorted=u.asm.SearchSorted).apply(null,arguments)},ul=u._SelectV2=function(){return(ul=u._SelectV2=u.asm.SelectV2).apply(null,arguments)},RC=u._Selu=function(){return(RC=u._Selu=u.asm.Selu).apply(null,arguments)},yr=u._Sigmoid=function(){return(yr=u._Sigmoid=u.asm.Sigmoid).apply(null,arguments)},Ii=u._Sign=function(){return(Ii=u._Sign=u.asm.Sign).apply(null,arguments)},Mm=u._Sin=function(){return(Mm=u._Sin=u.asm.Sin).apply(null,arguments)},aU=u._Softmax=function(){return(aU=u._Softmax=u.asm.Softmax).apply(null,arguments)},iU=u._Softplus=function(){return(iU=u._Softplus=u.asm.Softplus).apply(null,arguments)},uU=u._SparseFillEmptyRows=function(){return(uU=u._SparseFillEmptyRows=u.asm.SparseFillEmptyRows).apply(null,arguments)},pU=u._SparseReshape=function(){return(pU=u._SparseReshape=u.asm.SparseReshape).apply(null,arguments)},cU=u._SparseSegmentReduction=function(){return(cU=u._SparseSegmentReduction=u.asm.SparseSegmentReduction).apply(null,arguments)},lU=u._SparseToDense=function(){return(lU=u._SparseToDense=u.asm.SparseToDense).apply(null,arguments)},mU=u._Sqrt=function(){return(mU=u._Sqrt=u.asm.Sqrt).apply(null,arguments)},dU=u._Square=function(){return(dU=u._Square=u.asm.Square).apply(null,arguments)},fU=u._SquaredDifference=function(){return(fU=u._SquaredDifference=u.asm.SquaredDifference).apply(null,arguments)},hU=u._Step=function(){return(hU=u._Step=u.asm.Step).apply(null,arguments)},gU=u._StridedSlice=function(){return(gU=u._StridedSlice=u.asm.StridedSlice).apply(null,arguments)},xU=u._Sub=function(){return(xU=u._Sub=u.asm.Sub).apply(null,arguments)},yU=u._Sum=function(){return(yU=u._Sum=u.asm.Sum).apply(null,arguments)},bU=u._Tan=function(){return(bU=u._Tan=u.asm.Tan).apply(null,arguments)},CU=u._Tanh=function(){return(CU=u._Tanh=u.asm.Tanh).apply(null,arguments)},wU=u._TensorScatterUpdate=function(){return(wU=u._TensorScatterUpdate=u.asm.TensorScatterUpdate).apply(null,arguments)},SU=u._Tile=function(){return(SU=u._Tile=u.asm.Tile).apply(null,arguments)},IU=u._TopK=function(){return(IU=u._TopK=u.asm.TopK).apply(null,arguments)},vU=u._Transform=function(){return(vU=u._Transform=u.asm.Transform).apply(null,arguments)},kU=u._Transpose=function(){return(kU=u._Transpose=u.asm.Transpose).apply(null,arguments)},NU=u.__FusedMatMul=function(){return(NU=u.__FusedMatMul=u.asm._FusedMatMul).apply(null,arguments)},TU=u._malloc=function(){return(TU=u._malloc=u.asm.malloc).apply(null,arguments)},_U=u._free=function(){return(_U=u._free=u.asm.free).apply(null,arguments)},$U=u.__emscripten_tls_init=function(){return($U=u.__emscripten_tls_init=u.asm._emscripten_tls_init).apply(null,arguments)},Lm=u._pthread_self=function(){return(Lm=u._pthread_self=u.asm.pthread_self).apply(null,arguments)},EU=u.___errno_location=function(){return(EU=u.___errno_location=u.asm.__errno_location).apply(null,arguments)},Zv=u.__emscripten_thread_init=function(){return(Zv=u.__emscripten_thread_init=u.asm._emscripten_thread_init).apply(null,arguments)},RU=u.__emscripten_thread_crashed=function(){return(RU=u.__emscripten_thread_crashed=u.asm._emscripten_thread_crashed).apply(null,arguments)},DU=u._emscripten_main_thread_process_queued_calls=function(){return(DU=u._emscripten_main_thread_process_queued_calls=u.asm.emscripten_main_thread_process_queued_calls).apply(null,arguments)},AU=u._emscripten_main_browser_thread_id=function(){return(AU=u._emscripten_main_browser_thread_id=u.asm.emscripten_main_browser_thread_id).apply(null,arguments)},Jv=u._emscripten_run_in_main_runtime_thread_js=function(){return(Jv=u._emscripten_run_in_main_runtime_thread_js=u.asm.emscripten_run_in_main_runtime_thread_js).apply(null,arguments)},FU=u._emscripten_dispatch_to_thread_=function(){return(FU=u._emscripten_dispatch_to_thread_=u.asm.emscripten_dispatch_to_thread_).apply(null,arguments)},e0=u.__emscripten_proxy_execute_task_queue=function(){return(e0=u.__emscripten_proxy_execute_task_queue=u.asm._emscripten_proxy_execute_task_queue).apply(null,arguments)},DC=u.__emscripten_thread_free_data=function(){return(DC=u.__emscripten_thread_free_data=u.asm._emscripten_thread_free_data).apply(null,arguments)},t0=u.__emscripten_thread_exit=function(){return(t0=u.__emscripten_thread_exit=u.asm._emscripten_thread_exit).apply(null,arguments)},r0=u._emscripten_stack_set_limits=function(){return(r0=u._emscripten_stack_set_limits=u.asm.emscripten_stack_set_limits).apply(null,arguments)},AC=u.stackSave=function(){return(AC=u.stackSave=u.asm.stackSave).apply(null,arguments)},Bm=u.stackRestore=function(){return(Bm=u.stackRestore=u.asm.stackRestore).apply(null,arguments)},zm=u.stackAlloc=function(){return(zm=u.stackAlloc=u.asm.stackAlloc).apply(null,arguments)},PU=u.dynCall_iijjiiii=function(){return(PU=u.dynCall_iijjiiii=u.asm.dynCall_iijjiiii).apply(null,arguments)},OU=u.dynCall_jiji=function(){return(OU=u.dynCall_jiji=u.asm.dynCall_jiji).apply(null,arguments)};u.keepRuntimeAlive=Mo,u.wasmMemory=oe,u.cwrap=Ky,u.ExitStatus=Iu,u.PThread=Me;var Vm;Oa=function A(){Vm||o0(),Vm||(Oa=A)};function o0(A){if(A=A||f,wi>0)return;if(S){c(u),Xt(),startWorker(u);return}if(Vs(),wi>0)return;function V(){Vm||(Vm=!0,u.calledRun=!0,!le&&(Xt(),c(u),u.onRuntimeInitialized&&u.onRuntimeInitialized(),Pa()))}u.setStatus?(u.setStatus("Running..."),setTimeout(function(){setTimeout(function(){u.setStatus("")},1),V()},1)):V()}if(u.preInit)for(typeof u.preInit=="function"&&(u.preInit=[u.preInit]);u.preInit.length>0;)u.preInit.pop()();o0();var Wm;m&&(Wm={uncaughtException:process.listeners("uncaughtException").filter(function(A){return!m.uncaughtException.indexOf(A)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(A){return!m.unhandledRejection.indexOf(A)>-1})});var Um;if(typeof WasmBackendModule!="undefined")Um=WasmBackendModule;else if(typeof e!="undefined")Um=e;else throw new Error("Could not find wasm module in post.js");if(Wm){var MU=Um._dispose;Um._dispose=function(){MU(),Wm.uncaughtException.forEach(function(A){process.removeListener("uncaughtException",A)}),Wm.unhandledRejection.forEach(function(A){process.removeListener("unhandledRejection",A)})}}return e.ready}})();typeof Bg=="object"&&typeof kv=="object"?kv.exports=vv:typeof define=="function"&&define.amd?define([],function(){return vv}):typeof Bg=="object"&&(Bg.WasmBackendModuleThreadedSimd=vv)});var oB=qt((tAt,rB)=>{rB.exports.wasmWorkerContents=`"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+" +");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"})};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`});var nB=qt((zg,Tv)=>{var Nv=(()=>{var r=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(r=r||__filename),function(e){e=e||{};var t=typeof e!="undefined"?e:{},o,n;t.ready=new Promise(function(G,ae){o=G,n=ae});var s;typeof process!="undefined"&&process.listeners&&(s={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var a=Object.assign({},t),i=[],p="./this.program",u=(G,ae)=>{throw ae},c=typeof window=="object",l=typeof importScripts=="function",m=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",d="";function f(G){return t.locateFile?t.locateFile(G,d):d+G}var h,g,x,b;function w(G){if(G instanceof Dp)return;E("exiting due to exception: "+G)}if(m){var S=Sv(),k=Iv();l?d=k.dirname(d)+"/":d=__dirname+"/",h=(G,ae)=>(G=Vs(G)?new URL(G):k.normalize(G),S.readFileSync(G,ae?void 0:"utf8")),x=G=>{var ae=h(G,!0);return ae.buffer||(ae=new Uint8Array(ae)),ae},g=(G,ae,$e)=>{G=Vs(G)?new URL(G):k.normalize(G),S.readFile(G,function(at,_t){at?$e(at):ae(_t.buffer)})},process.argv.length>1&&(p=process.argv[1].replace(/\\/g,"/")),i=process.argv.slice(2),process.on("uncaughtException",function(G){if(!(G instanceof Dp))throw G}),process.on("unhandledRejection",function(G){throw G}),u=(G,ae)=>{if(it())throw process.exitCode=G,ae;w(ae),process.exit(G)},t.inspect=function(){return"[Emscripten Module object]"}}else(c||l)&&(l?d=self.location.href:typeof document!="undefined"&&document.currentScript&&(d=document.currentScript.src),r&&(d=r),d.indexOf("blob:")!==0?d=d.substr(0,d.replace(/[?#].*/,"").lastIndexOf("/")+1):d="",h=G=>{var ae=new XMLHttpRequest;return ae.open("GET",G,!1),ae.send(null),ae.responseText},l&&(x=G=>{var ae=new XMLHttpRequest;return ae.open("GET",G,!1),ae.responseType="arraybuffer",ae.send(null),new Uint8Array(ae.response)}),g=(G,ae,$e)=>{var at=new XMLHttpRequest;at.open("GET",G,!0),at.responseType="arraybuffer",at.onload=()=>{if(at.status==200||at.status==0&&at.response){ae(at.response);return}$e()},at.onerror=$e,at.send(null)},b=G=>document.title=G);var _=t.print||console.log.bind(console),E=t.printErr||console.warn.bind(console);Object.assign(t,a),a=null,t.arguments&&(i=t.arguments),t.thisProgram&&(p=t.thisProgram),t.quit&&(u=t.quit);var R=4,D;t.wasmBinary&&(D=t.wasmBinary);var F=t.noExitRuntime||!0;typeof WebAssembly!="object"&&fr("no native wasm support detected");var O,M=!1,L;function B(G,ae){G||fr(ae)}var z=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function U(G,ae,$e){ae>>>=0;for(var at=ae+$e,_t=ae;G[_t]&&!(_t>=at);)++_t;if(_t-ae>16&&G.buffer&&z)return z.decode(G.subarray(ae,_t));for(var $t="";ae<_t;){var Xe=G[ae++];if(!(Xe&128)){$t+=String.fromCharCode(Xe);continue}var Ge=G[ae++]&63;if((Xe&224)==192){$t+=String.fromCharCode((Xe&31)<<6|Ge);continue}var Gt=G[ae++]&63;if((Xe&240)==224?Xe=(Xe&15)<<12|Ge<<6|Gt:Xe=(Xe&7)<<18|Ge<<12|Gt<<6|G[ae++]&63,Xe<65536)$t+=String.fromCharCode(Xe);else{var eo=Xe-65536;$t+=String.fromCharCode(55296|eo>>10,56320|eo&1023)}}return $t}function j(G,ae){return G>>>=0,G?U(ne,G,ae):""}function H(G,ae,$e,at){if($e>>>=0,!(at>0))return 0;for(var _t=$e,$t=$e+at-1,Xe=0;Xe=55296&&Ge<=57343){var Gt=G.charCodeAt(++Xe);Ge=65536+((Ge&1023)<<10)|Gt&1023}if(Ge<=127){if($e>=$t)break;ae[$e++>>>0]=Ge}else if(Ge<=2047){if($e+1>=$t)break;ae[$e++>>>0]=192|Ge>>6,ae[$e++>>>0]=128|Ge&63}else if(Ge<=65535){if($e+2>=$t)break;ae[$e++>>>0]=224|Ge>>12,ae[$e++>>>0]=128|Ge>>6&63,ae[$e++>>>0]=128|Ge&63}else{if($e+3>=$t)break;ae[$e++>>>0]=240|Ge>>18,ae[$e++>>>0]=128|Ge>>12&63,ae[$e++>>>0]=128|Ge>>6&63,ae[$e++>>>0]=128|Ge&63}}return ae[$e>>>0]=0,$e-_t}function X(G,ae,$e){return H(G,ne,ae,$e)}var J,re,ne,ee,oe,ie,le,ye,_e;function ve(G){J=G,t.HEAP8=re=new Int8Array(G),t.HEAP16=ee=new Int16Array(G),t.HEAP32=ie=new Int32Array(G),t.HEAPU8=ne=new Uint8Array(G),t.HEAPU16=oe=new Uint16Array(G),t.HEAPU32=le=new Uint32Array(G),t.HEAPF32=ye=new Float32Array(G),t.HEAPF64=_e=new Float64Array(G)}var Fe=t.INITIAL_MEMORY||16777216,Pe,st=[],lt=[],We=[],mt=!1;function it(){return F}function ht(){if(t.preRun)for(typeof t.preRun=="function"&&(t.preRun=[t.preRun]);t.preRun.length;)Mt(t.preRun.shift());Oa(st)}function gt(){mt=!0,Oa(lt)}function Or(){if(t.postRun)for(typeof t.postRun=="function"&&(t.postRun=[t.postRun]);t.postRun.length;)or(t.postRun.shift());Oa(We)}function Mt(G){st.unshift(G)}function Qr(G){lt.unshift(G)}function or(G){We.unshift(G)}var Tt=0,nr=null,sr=null;function Zr(G){Tt++,t.monitorRunDependencies&&t.monitorRunDependencies(Tt)}function Jr(G){if(Tt--,t.monitorRunDependencies&&t.monitorRunDependencies(Tt),Tt==0&&(nr!==null&&(clearInterval(nr),nr=null),sr)){var ae=sr;sr=null,ae()}}function fr(G){t.onAbort&&t.onAbort(G),G="Aborted("+G+")",E(G),M=!0,L=1,G+=". Build with -sASSERTIONS for more info.";var ae=new WebAssembly.RuntimeError(G);throw n(ae),ae}var Fa="data:application/octet-stream;base64,";function Mo(G){return G.startsWith(Fa)}function Vs(G){return G.startsWith("file://")}var Xt;Xt="tfjs-backend-wasm.wasm",Mo(Xt)||(Xt=f(Xt));function Pa(G){try{if(G==Xt&&D)return new Uint8Array(D);if(x)return x(G);throw"both async and sync fetching of the wasm failed"}catch(ae){fr(ae)}}function el(){if(!D&&(c||l)){if(typeof fetch=="function"&&!Vs(Xt))return fetch(Xt,{credentials:"same-origin"}).then(function(G){if(!G.ok)throw"failed to load wasm binary file at '"+Xt+"'";return G.arrayBuffer()}).catch(function(){return Pa(Xt)});if(g)return new Promise(function(G,ae){g(Xt,function($e){G(new Uint8Array($e))},ae)})}return Promise.resolve().then(function(){return Pa(Xt)})}function tl(){var G={env:rl,wasi_snapshot_preview1:rl};function ae(Xe,Ge){var Gt=Xe.exports;t.asm=Gt,O=t.asm.memory,ve(O.buffer),Pe=t.asm.__indirect_function_table,Qr(t.asm.__wasm_call_ctors),Jr("wasm-instantiate")}Zr("wasm-instantiate");function $e(Xe){ae(Xe.instance)}function at(Xe){return el().then(function(Ge){return WebAssembly.instantiate(Ge,G)}).then(function(Ge){return Ge}).then(Xe,function(Ge){E("failed to asynchronously prepare wasm: "+Ge),fr(Ge)})}function _t(){return!D&&typeof WebAssembly.instantiateStreaming=="function"&&!Mo(Xt)&&!Vs(Xt)&&!m&&typeof fetch=="function"?fetch(Xt,{credentials:"same-origin"}).then(function(Xe){var Ge=WebAssembly.instantiateStreaming(Xe,G);return Ge.then($e,function(Gt){return E("wasm streaming compile failed: "+Gt),E("falling back to ArrayBuffer instantiation"),at($e)})}):at($e)}if(t.instantiateWasm)try{var $t=t.instantiateWasm(G,ae);return $t}catch(Xe){E("Module.instantiateWasm callback failed with error: "+Xe),n(Xe)}return _t().catch(n),{}}var jv,wi;function Dp(G){this.name="ExitStatus",this.message="Program terminated with exit("+G+")",this.status=G}function Oa(G){for(;G.length>0;)G.shift()(t)}function ly(){fr("")}function xm(){return 4294901760}function Su(){return xm()}function my(G,ae,$e){ne.copyWithin(G>>>0,ae>>>0,ae+$e>>>0)}function ym(G){try{return O.grow(G-J.byteLength+65535>>>16),ve(O.buffer),1}catch(ae){}}function Ap(G){var ae=ne.length;G=G>>>0;var $e=xm();if(G>$e)return!1;let at=(Gt,eo)=>Gt+(eo-Gt%eo)%eo;for(var _t=1;_t<=4;_t*=2){var $t=ae*(1+.2/_t);$t=Math.min($t,G+100663296);var Xe=Math.min($e,at(Math.max(G,$t),65536)),Ge=ym(Xe);if(Ge)return!0}return!1}var hr={varargs:void 0,get:function(){hr.varargs+=4;var G=ie[hr.varargs-4>>>2];return G},getStr:function(G){var ae=j(G);return ae}};function bm(G){return 52}function dy(G,ae,$e,at,_t){return 70}var fy=[null,[],[]];function Xv(G,ae){var $e=fy[G];ae===0||ae===10?((G===1?_:E)(U($e,0)),$e.length=0):$e.push(ae)}function Yv(G,ae,$e,at){for(var _t=0,$t=0;$t<$e;$t++){var Xe=le[ae>>>2],Ge=le[ae+4>>>2];ae+=8;for(var Gt=0;Gt>>0]);_t+=Ge}return le[at>>>2]=_t,0}function Cm(G){var ae=t["_"+G];return ae}function Iu(G,ae){re.set(G,ae>>>0)}function hy(G,ae,$e,at,_t){var $t={string:yr=>{var Ii=0;if(yr!=null&&yr!==0){var Mm=(yr.length<<2)+1;Ii=il(Mm),X(yr,Ii,Mm)}return Ii},array:yr=>{var Ii=il(yr.length);return Iu(yr,Ii),Ii}};function Xe(yr){return ae==="string"?j(yr):ae==="boolean"?!!yr:yr}var Ge=Cm(G),Gt=[],eo=0;if(at)for(var Ma=0;MaXe==="number"||Xe==="boolean"),$t=ae!=="string";return $t&&_t&&!at?Cm(G):function(){return hy(G,ae,$e,arguments,at)}}var rl={abort:ly,emscripten_get_heap_max:Su,emscripten_memcpy_big:my,emscripten_resize_heap:Ap,fd_close:bm,fd_seek:dy,fd_write:Yv},xy=tl(),wm=t.___wasm_call_ctors=function(){return(wm=t.___wasm_call_ctors=t.asm.__wasm_call_ctors).apply(null,arguments)},Sm=t._init=function(){return(Sm=t._init=t.asm.init).apply(null,arguments)},yy=t._init_with_threads_count=function(){return(yy=t._init_with_threads_count=t.asm.init_with_threads_count).apply(null,arguments)},Im=t._get_threads_count=function(){return(Im=t._get_threads_count=t.asm.get_threads_count).apply(null,arguments)},by=t._register_tensor=function(){return(by=t._register_tensor=t.asm.register_tensor).apply(null,arguments)},Me=t._dispose_data=function(){return(Me=t._dispose_data=t.asm.dispose_data).apply(null,arguments)},ol=t._dispose=function(){return(ol=t._dispose=t.asm.dispose).apply(null,arguments)},Cy=t._Abs=function(){return(Cy=t._Abs=t.asm.Abs).apply(null,arguments)},vm=t._Acos=function(){return(vm=t._Acos=t.asm.Acos).apply(null,arguments)},Fp=t._Acosh=function(){return(Fp=t._Acosh=t.asm.Acosh).apply(null,arguments)},wy=t._Add=function(){return(wy=t._Add=t.asm.Add).apply(null,arguments)},Sy=t._AddN=function(){return(Sy=t._AddN=t.asm.AddN).apply(null,arguments)},Iy=t._All=function(){return(Iy=t._All=t.asm.All).apply(null,arguments)},vy=t._Any=function(){return(vy=t._Any=t.asm.Any).apply(null,arguments)},ky=t._ArgMax=function(){return(ky=t._ArgMax=t.asm.ArgMax).apply(null,arguments)},km=t._ArgMin=function(){return(km=t._ArgMin=t.asm.ArgMin).apply(null,arguments)},Nm=t._Asin=function(){return(Nm=t._Asin=t.asm.Asin).apply(null,arguments)},Ny=t._Asinh=function(){return(Ny=t._Asinh=t.asm.Asinh).apply(null,arguments)},Ty=t._Atan=function(){return(Ty=t._Atan=t.asm.Atan).apply(null,arguments)},_y=t._Atan2=function(){return(_y=t._Atan2=t.asm.Atan2).apply(null,arguments)},nl=t._Atanh=function(){return(nl=t._Atanh=t.asm.Atanh).apply(null,arguments)},$y=t._AvgPool=function(){return($y=t._AvgPool=t.asm.AvgPool).apply(null,arguments)},Ey=t._AvgPool3D=function(){return(Ey=t._AvgPool3D=t.asm.AvgPool3D).apply(null,arguments)},Ry=t._AvgPool3DGrad=function(){return(Ry=t._AvgPool3DGrad=t.asm.AvgPool3DGrad).apply(null,arguments)},vu=t._BatchMatMul=function(){return(vu=t._BatchMatMul=t.asm.BatchMatMul).apply(null,arguments)},Dy=t._Bincount=function(){return(Dy=t._Bincount=t.asm.Bincount).apply(null,arguments)},Ay=t._Ceil=function(){return(Ay=t._Ceil=t.asm.Ceil).apply(null,arguments)},Tm=t._ClipByValue=function(){return(Tm=t._ClipByValue=t.asm.ClipByValue).apply(null,arguments)},Fy=t._Conv2D=function(){return(Fy=t._Conv2D=t.asm.Conv2D).apply(null,arguments)},sl=t._Conv2DBackpropInput=function(){return(sl=t._Conv2DBackpropInput=t.asm.Conv2DBackpropInput).apply(null,arguments)},Py=t._Conv3D=function(){return(Py=t._Conv3D=t.asm.Conv3D).apply(null,arguments)},Oy=t._Conv3DBackpropFilterV2=function(){return(Oy=t._Conv3DBackpropFilterV2=t.asm.Conv3DBackpropFilterV2).apply(null,arguments)},My=t._Conv3DBackpropInputV2=function(){return(My=t._Conv3DBackpropInputV2=t.asm.Conv3DBackpropInputV2).apply(null,arguments)},Si=t._Cos=function(){return(Si=t._Cos=t.asm.Cos).apply(null,arguments)},al=t._Cosh=function(){return(al=t._Cosh=t.asm.Cosh).apply(null,arguments)},Ly=t._CropAndResize=function(){return(Ly=t._CropAndResize=t.asm.CropAndResize).apply(null,arguments)},By=t._Cumprod=function(){return(By=t._Cumprod=t.asm.Cumprod).apply(null,arguments)},zy=t._Cumsum=function(){return(zy=t._Cumsum=t.asm.Cumsum).apply(null,arguments)},Vy=t._DenseBincount=function(){return(Vy=t._DenseBincount=t.asm.DenseBincount).apply(null,arguments)},_m=t._DepthToSpace=function(){return(_m=t._DepthToSpace=t.asm.DepthToSpace).apply(null,arguments)},$m=t._DepthwiseConv2dNative=function(){return($m=t._DepthwiseConv2dNative=t.asm.DepthwiseConv2dNative).apply(null,arguments)},Wy=t._Diag=function(){return(Wy=t._Diag=t.asm.Diag).apply(null,arguments)},Uy=t._Dilation2D=function(){return(Uy=t._Dilation2D=t.asm.Dilation2D).apply(null,arguments)},Em=t._Dilation2DBackpropFilter=function(){return(Em=t._Dilation2DBackpropFilter=t.asm.Dilation2DBackpropFilter).apply(null,arguments)},Rm=t._Dilation2DBackpropInput=function(){return(Rm=t._Dilation2DBackpropInput=t.asm.Dilation2DBackpropInput).apply(null,arguments)},Gy=t._Elu=function(){return(Gy=t._Elu=t.asm.Elu).apply(null,arguments)},Hy=t._EluGrad=function(){return(Hy=t._EluGrad=t.asm.EluGrad).apply(null,arguments)},Ky=t._Equal=function(){return(Ky=t._Equal=t.asm.Equal).apply(null,arguments)},qy=t._Exp=function(){return(qy=t._Exp=t.asm.Exp).apply(null,arguments)},Dm=t._Expm1=function(){return(Dm=t._Expm1=t.asm.Expm1).apply(null,arguments)},Qv=t._FlipLeftRight=function(){return(Qv=t._FlipLeftRight=t.asm.FlipLeftRight).apply(null,arguments)},jy=t._Floor=function(){return(jy=t._Floor=t.asm.Floor).apply(null,arguments)},Xy=t._FloorDiv=function(){return(Xy=t._FloorDiv=t.asm.FloorDiv).apply(null,arguments)},Yy=t._FusedBatchNorm=function(){return(Yy=t._FusedBatchNorm=t.asm.FusedBatchNorm).apply(null,arguments)},Qy=t._FusedConv2D=function(){return(Qy=t._FusedConv2D=t.asm.FusedConv2D).apply(null,arguments)},Zy=t._FusedDepthwiseConv2D=function(){return(Zy=t._FusedDepthwiseConv2D=t.asm.FusedDepthwiseConv2D).apply(null,arguments)},Jy=t._Gather=function(){return(Jy=t._Gather=t.asm.Gather).apply(null,arguments)},eb=t._GatherNd=function(){return(eb=t._GatherNd=t.asm.GatherNd).apply(null,arguments)},tb=t._Greater=function(){return(tb=t._Greater=t.asm.Greater).apply(null,arguments)},rb=t._GreaterEqual=function(){return(rb=t._GreaterEqual=t.asm.GreaterEqual).apply(null,arguments)},ob=t._IsFinite=function(){return(ob=t._IsFinite=t.asm.IsFinite).apply(null,arguments)},nb=t._IsInf=function(){return(nb=t._IsInf=t.asm.IsInf).apply(null,arguments)},sb=t._IsNan=function(){return(sb=t._IsNan=t.asm.IsNan).apply(null,arguments)},ab=t._LRN=function(){return(ab=t._LRN=t.asm.LRN).apply(null,arguments)},ib=t._LRNGrad=function(){return(ib=t._LRNGrad=t.asm.LRNGrad).apply(null,arguments)},ub=t._LeakyRelu=function(){return(ub=t._LeakyRelu=t.asm.LeakyRelu).apply(null,arguments)},pb=t._Less=function(){return(pb=t._Less=t.asm.Less).apply(null,arguments)},cb=t._LessEqual=function(){return(cb=t._LessEqual=t.asm.LessEqual).apply(null,arguments)},lb=t._LinSpace=function(){return(lb=t._LinSpace=t.asm.LinSpace).apply(null,arguments)},mb=t._Log=function(){return(mb=t._Log=t.asm.Log).apply(null,arguments)},db=t._Log1p=function(){return(db=t._Log1p=t.asm.Log1p).apply(null,arguments)},fb=t._LogicalAnd=function(){return(fb=t._LogicalAnd=t.asm.LogicalAnd).apply(null,arguments)},hb=t._LogicalNot=function(){return(hb=t._LogicalNot=t.asm.LogicalNot).apply(null,arguments)},gb=t._LogicalOr=function(){return(gb=t._LogicalOr=t.asm.LogicalOr).apply(null,arguments)},xb=t._LogicalXor=function(){return(xb=t._LogicalXor=t.asm.LogicalXor).apply(null,arguments)},yb=t._Max=function(){return(yb=t._Max=t.asm.Max).apply(null,arguments)},bb=t._MaxPool=function(){return(bb=t._MaxPool=t.asm.MaxPool).apply(null,arguments)},Cb=t._MaxPool3D=function(){return(Cb=t._MaxPool3D=t.asm.MaxPool3D).apply(null,arguments)},wb=t._MaxPool3DGrad=function(){return(wb=t._MaxPool3DGrad=t.asm.MaxPool3DGrad).apply(null,arguments)},Sb=t._Maximum=function(){return(Sb=t._Maximum=t.asm.Maximum).apply(null,arguments)},Ib=t._Mean=function(){return(Ib=t._Mean=t.asm.Mean).apply(null,arguments)},vb=t._Min=function(){return(vb=t._Min=t.asm.Min).apply(null,arguments)},kb=t._Minimum=function(){return(kb=t._Minimum=t.asm.Minimum).apply(null,arguments)},Nb=t._MirrorPad=function(){return(Nb=t._MirrorPad=t.asm.MirrorPad).apply(null,arguments)},Tb=t._Multinomial=function(){return(Tb=t._Multinomial=t.asm.Multinomial).apply(null,arguments)},_b=t._Multiply=function(){return(_b=t._Multiply=t.asm.Multiply).apply(null,arguments)},$b=t._Neg=function(){return($b=t._Neg=t.asm.Neg).apply(null,arguments)},Eb=t._NonMaxSuppressionV3=function(){return(Eb=t._NonMaxSuppressionV3=t.asm.NonMaxSuppressionV3).apply(null,arguments)},Rb=t._NonMaxSuppressionV4=function(){return(Rb=t._NonMaxSuppressionV4=t.asm.NonMaxSuppressionV4).apply(null,arguments)},Db=t._NonMaxSuppressionV5=function(){return(Db=t._NonMaxSuppressionV5=t.asm.NonMaxSuppressionV5).apply(null,arguments)},Ab=t._NotEqual=function(){return(Ab=t._NotEqual=t.asm.NotEqual).apply(null,arguments)},Fb=t._OneHot=function(){return(Fb=t._OneHot=t.asm.OneHot).apply(null,arguments)},Pb=t._PadV2=function(){return(Pb=t._PadV2=t.asm.PadV2).apply(null,arguments)},Ob=t._Pow=function(){return(Ob=t._Pow=t.asm.Pow).apply(null,arguments)},Mb=t._Prelu=function(){return(Mb=t._Prelu=t.asm.Prelu).apply(null,arguments)},Lb=t._Prod=function(){return(Lb=t._Prod=t.asm.Prod).apply(null,arguments)},Bb=t._RealDiv=function(){return(Bb=t._RealDiv=t.asm.RealDiv).apply(null,arguments)},zb=t._Reciprocal=function(){return(zb=t._Reciprocal=t.asm.Reciprocal).apply(null,arguments)},Vb=t._Relu=function(){return(Vb=t._Relu=t.asm.Relu).apply(null,arguments)},Wb=t._Relu6=function(){return(Wb=t._Relu6=t.asm.Relu6).apply(null,arguments)},Ub=t._ResizeBilinear=function(){return(Ub=t._ResizeBilinear=t.asm.ResizeBilinear).apply(null,arguments)},Gb=t._ResizeBilinearGrad=function(){return(Gb=t._ResizeBilinearGrad=t.asm.ResizeBilinearGrad).apply(null,arguments)},Hb=t._ResizeNearestNeighbor=function(){return(Hb=t._ResizeNearestNeighbor=t.asm.ResizeNearestNeighbor).apply(null,arguments)},Kb=t._ResizeNearestNeighborGrad=function(){return(Kb=t._ResizeNearestNeighborGrad=t.asm.ResizeNearestNeighborGrad).apply(null,arguments)},qb=t._Reverse=function(){return(qb=t._Reverse=t.asm.Reverse).apply(null,arguments)},jb=t._RotateWithOffset=function(){return(jb=t._RotateWithOffset=t.asm.RotateWithOffset).apply(null,arguments)},Xb=t._Round=function(){return(Xb=t._Round=t.asm.Round).apply(null,arguments)},Yb=t._Rsqrt=function(){return(Yb=t._Rsqrt=t.asm.Rsqrt).apply(null,arguments)},Qb=t._ScatterNd=function(){return(Qb=t._ScatterNd=t.asm.ScatterNd).apply(null,arguments)},Zb=t._SearchSorted=function(){return(Zb=t._SearchSorted=t.asm.SearchSorted).apply(null,arguments)},Jb=t._SelectV2=function(){return(Jb=t._SelectV2=t.asm.SelectV2).apply(null,arguments)},eC=t._Selu=function(){return(eC=t._Selu=t.asm.Selu).apply(null,arguments)},tC=t._Sigmoid=function(){return(tC=t._Sigmoid=t.asm.Sigmoid).apply(null,arguments)},rC=t._Sign=function(){return(rC=t._Sign=t.asm.Sign).apply(null,arguments)},oC=t._Sin=function(){return(oC=t._Sin=t.asm.Sin).apply(null,arguments)},nC=t._Softmax=function(){return(nC=t._Softmax=t.asm.Softmax).apply(null,arguments)},sC=t._Softplus=function(){return(sC=t._Softplus=t.asm.Softplus).apply(null,arguments)},aC=t._SparseFillEmptyRows=function(){return(aC=t._SparseFillEmptyRows=t.asm.SparseFillEmptyRows).apply(null,arguments)},iC=t._SparseReshape=function(){return(iC=t._SparseReshape=t.asm.SparseReshape).apply(null,arguments)},uC=t._SparseSegmentReduction=function(){return(uC=t._SparseSegmentReduction=t.asm.SparseSegmentReduction).apply(null,arguments)},pC=t._SparseToDense=function(){return(pC=t._SparseToDense=t.asm.SparseToDense).apply(null,arguments)},cC=t._Sqrt=function(){return(cC=t._Sqrt=t.asm.Sqrt).apply(null,arguments)},lC=t._Square=function(){return(lC=t._Square=t.asm.Square).apply(null,arguments)},mC=t._SquaredDifference=function(){return(mC=t._SquaredDifference=t.asm.SquaredDifference).apply(null,arguments)},dC=t._Step=function(){return(dC=t._Step=t.asm.Step).apply(null,arguments)},fC=t._StridedSlice=function(){return(fC=t._StridedSlice=t.asm.StridedSlice).apply(null,arguments)},hC=t._Sub=function(){return(hC=t._Sub=t.asm.Sub).apply(null,arguments)},gC=t._Sum=function(){return(gC=t._Sum=t.asm.Sum).apply(null,arguments)},xC=t._Tan=function(){return(xC=t._Tan=t.asm.Tan).apply(null,arguments)},yC=t._Tanh=function(){return(yC=t._Tanh=t.asm.Tanh).apply(null,arguments)},bC=t._TensorScatterUpdate=function(){return(bC=t._TensorScatterUpdate=t.asm.TensorScatterUpdate).apply(null,arguments)},CC=t._Tile=function(){return(CC=t._Tile=t.asm.Tile).apply(null,arguments)},wC=t._TopK=function(){return(wC=t._TopK=t.asm.TopK).apply(null,arguments)},SC=t._Transform=function(){return(SC=t._Transform=t.asm.Transform).apply(null,arguments)},IC=t._Transpose=function(){return(IC=t._Transpose=t.asm.Transpose).apply(null,arguments)},vC=t.__FusedMatMul=function(){return(vC=t.__FusedMatMul=t.asm._FusedMatMul).apply(null,arguments)},kC=t._malloc=function(){return(kC=t._malloc=t.asm.malloc).apply(null,arguments)},NC=t._free=function(){return(NC=t._free=t.asm.free).apply(null,arguments)},TC=t.___errno_location=function(){return(TC=t.___errno_location=t.asm.__errno_location).apply(null,arguments)},Am=t.stackSave=function(){return(Am=t.stackSave=t.asm.stackSave).apply(null,arguments)},Fm=t.stackRestore=function(){return(Fm=t.stackRestore=t.asm.stackRestore).apply(null,arguments)},il=t.stackAlloc=function(){return(il=t.stackAlloc=t.asm.stackAlloc).apply(null,arguments)},_C=t.dynCall_iijjiiii=function(){return(_C=t.dynCall_iijjiiii=t.asm.dynCall_iijjiiii).apply(null,arguments)},$C=t.dynCall_jiji=function(){return($C=t.dynCall_jiji=t.asm.dynCall_jiji).apply(null,arguments)};t.cwrap=gy;var Pp;sr=function G(){Pp||Pm(),Pp||(sr=G)};function Pm(G){if(G=G||i,Tt>0||(ht(),Tt>0))return;function ae(){Pp||(Pp=!0,t.calledRun=!0,!M&&(gt(),o(t),t.onRuntimeInitialized&&t.onRuntimeInitialized(),Or()))}t.setStatus?(t.setStatus("Running..."),setTimeout(function(){setTimeout(function(){t.setStatus("")},1),ae()},1)):ae()}if(t.preInit)for(typeof t.preInit=="function"&&(t.preInit=[t.preInit]);t.preInit.length>0;)t.preInit.pop()();Pm();var Op;s&&(Op={uncaughtException:process.listeners("uncaughtException").filter(function(G){return!s.uncaughtException.indexOf(G)>-1}),unhandledRejection:process.listeners("unhandledRejection").filter(function(G){return!s.unhandledRejection.indexOf(G)>-1})});var Mp;if(typeof e!="undefined")Mp=e;else if(typeof WasmBackendModuleThreadedSimd!="undefined")Mp=WasmBackendModuleThreadedSimd;else throw new Error("Could not find wasm module in post.js");if(Op){var EC=Mp._dispose;Mp._dispose=function(){EC(),Op.uncaughtException.forEach(function(G){process.removeListener("uncaughtException",G)}),Op.unhandledRejection.forEach(function(G){process.removeListener("unhandledRejection",G)})}}return e.ready}})();typeof zg=="object"&&typeof Tv=="object"?Tv.exports=Nv:typeof define=="function"&&define.amd?define([],function(){return Nv}):typeof zg=="object"&&(zg.WasmBackendModule=Nv)});var Lo=class{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}},ro=class{refCount(e){return Lr("refCount")}incRef(e){return Lr("incRef")}timerAvailable(){return!0}time(e){return Lr("time")}read(e){return Lr("read")}readSync(e){return Lr("readSync")}readToGPU(e,t){return Lr("readToGPU")}numDataIds(){return Lr("numDataIds")}disposeData(e,t){return Lr("disposeData")}write(e,t,o){return Lr("write")}move(e,t,o,n,s){return Lr("move")}createTensorFromGPUData(e,t,o){return Lr("createTensorFromGPUData")}memory(){return Lr("memory")}floatPrecision(){return Lr("floatPrecision")}epsilon(){return this.floatPrecision()===32?1e-7:1e-4}dispose(){return Lr("dispose")}};function Lr(r){throw new Error(`'${r}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`)}function a0(r){let e=r.length,t=0;for(;e>0;)t=Math.random()*e|0,e--,Gm(r,e,t)}function HU(r,e){if(r.length!==e.length)throw new Error(`Array sizes must match to be shuffled together First array length was ${r.length}Second array length was ${e.length}`);let t=r.length,o=0;for(;t>0;)o=Math.random()*t|0,t--,Gm(r,t,o),Gm(e,t,o)}function zp(r,e,t){return Math.max(r,Math.min(e,t))}function KU(r){return r%2===0?r:r+1}function Gm(r,e,t){let o=r[e];r[e]=r[t],r[t]=o}function qU(r){let e=0;for(let t=0;tt+` Shapes ${r} and ${e} must match`)}function oo(r){$(r!=null,()=>"The input to the tensor constructor must be a non-null value.")}function Ue(r){if(r.length===0)return 1;let e=r[0];for(let t=1;t0,t,o){return new Promise((n,s)=>{let a=0,i=()=>{if(r()){n();return}a++;let p=e(a);if(t!=null&&a>=t){s();return}o!=null?o(i,p):setTimeout(i,p)};i()})}function tG(r,e){let t=1,o=-1;for(let s=0;s=0)t*=r[s];else if(r[s]===-1){if(o!==-1)throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${o} and dim ${s}`);o=s}else if(r[s]<0)throw Error(`Shapes can not be < 0. Found ${r[s]} at dim ${s}`);if(o===-1){if(e>0&&e!==t)throw Error(`Size(${e}) must match the product of shape ${r}`);return r}if(t===0)throw Error(`Cannot infer the missing size in [${r}] when there are 0 elements`);if(e%t!==0)throw Error(`The implicit shape can't be a fractional number. Got ${e} / ${t}`);let n=r.slice();return n[o]=e/t,n}function vi(r,e){let t=e.length;return r=r==null?e.map((o,n)=>n):[].concat(r),$(r.every(o=>o>=-t&&o`All values in axis param must be in range [-${t}, ${t}) but got axis ${r}`),$(r.every(o=>Ba(o)),()=>`All values in axis param must be integers but got axis ${r}`),r.map(o=>o<0?t+o:o)}function MC(r,e){let t=[],o=[],n=e!=null&&Array.isArray(e)&&e.length===0,s=e==null||n?null:vi(e,r).sort(),a=0;for(let i=0;ii)&&r[i]===1&&(t.push(r[i]),o.push(i)),s[a]<=i&&a++}r[i]!==1&&(t.push(r[i]),o.push(i))}return{newShape:t,keptDims:o}}function LC(r,e){return Hm(r,e)}function Hm(r,e){let t=null;if(r==null||r==="float32")t=new Float32Array(e);else if(r==="int32")t=new Int32Array(e);else if(r==="bool")t=new Uint8Array(e);else if(r==="string")t=new Array(e);else throw new Error(`Unknown data type ${r}`);return t}function BC(r,e){for(let t=0;te+=t.length),e}function Bo(r){return typeof r=="string"||r instanceof String}function i0(r){return typeof r=="boolean"}function u0(r){return typeof r=="number"}function ki(r){return Array.isArray(r)?ki(r[0]):r instanceof Float32Array?"float32":r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray?"int32":u0(r)?"float32":Bo(r)?"string":i0(r)?"bool":"float32"}function Ws(r){return!!(r&&r.constructor&&r.call&&r.apply)}function Wp(r,e){for(let t=e;t=0;--o)t[o]=t[o+1]*r[o+1];return t}function p0(r,e,t,o=!1){let n=new Array;if(e.length===1){let s=e[0]*(o?2:1);for(let a=0;ap*u)*(o?2:1);for(let p=0;pn*s)*(t?2:1);if(o===0)return[];if(o!==e.length)throw new Error(`[${r}] does not match the input size ${e.length}${t?" for a complex tensor":""}.`);return p0(0,r,e,t)}function oG(r,e){if(Array.isArray(r))return r;if(e==="float32")return r instanceof Float32Array?r:new Float32Array(r);if(e==="int32")return r instanceof Int32Array?r:new Int32Array(r);if(e==="bool"||e==="string")return Uint8Array.from(new Int32Array(r));throw new Error(`Unknown dtype ${e}`)}function pl(r,e){let t=Up(r,e);for(let o=0;oo*n,1);if(e==null||e==="float32")return ku(r,new Float32Array(t));if(e==="int32")return ku(r,new Int32Array(t));if(e==="bool")return ku(r,new Uint8Array(t));throw new Error(`Unknown data type ${e}`)}function Ct(r){r.forEach(e=>{$(Number.isInteger(e)&&e>=0,()=>`Tensor must have a shape comprised of positive integers but got shape [${r}].`)})}function sG(r,e,t){if(e===0)return 0;if(e===1)return r[0];let o=r[r.length-1];for(let n=0;n{let[n,s]=o.split(":");this.urlFlags[n]=cG(n,s)})}};function uG(r){let e={};return r.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(t,...o)=>(pG(e,o[0],o[1]),o.join("="))),e}function pG(r,e,t){r[decodeURIComponent(e)]=decodeURIComponent(t||"")}function cG(r,e){let t=e.toLowerCase();return t==="true"||t==="false"?t==="true":`${+t}`===t?+t:e}function P(){return WC}var WC=null;function l0(r){WC=r}var UC;function GC(){if(UC==null){let r;if(typeof window!="undefined")r=window;else if(typeof global!="undefined")r=global;else if(typeof process!="undefined")r=process;else if(typeof self!="undefined")r=self;else throw new Error("Could not find a global object");UC=r}return UC}function lG(){let r=GC();return r._tfGlobals==null&&(r._tfGlobals=new Map),r._tfGlobals}function ll(r,e){let t=lG();if(t.has(r))return t.get(r);{let o=e();return t.set(r,o),t.get(r)}}var Gs="Abs",zo="Acos",Vo="Acosh",no="Add",Wo="AddN",Uo="All",Go="Any",Hs="ArgMax",Ks="ArgMin",Ho="Asin",Ko="Asinh",qo="Atan",jo="Atanh",Xo="Atan2",Yo="AvgPool",Gp="AvgPoolGrad",qs="AvgPool3D",Ni="AvgPool3DGrad",Qo="BatchMatMul",js="BatchToSpaceND",Zo="Bincount",ml="BitwiseAnd",Kpe="BroadcastTo",Xs="BroadcastArgs",ho="Cast",Jo="Ceil",go="ClipByValue",Ti="Complex",_i="ComplexAbs",Ys="Concat",en="Conv2D",$i="Conv2DBackpropFilter",tn="Conv2DBackpropInput",rn="Conv3D",za="Conv3DBackpropFilterV2",on="Conv3DBackpropInputV2",nn="Cos",sn="Cosh",an="Cumprod",un="Cumsum",pn="CropAndResize",Qs="DenseBincount",cn="DepthToSpace",ln="DepthwiseConv2dNative",Ei="DepthwiseConv2dNativeBackpropFilter",Ri="DepthwiseConv2dNativeBackpropInput",Zs="Diag",mn="Dilation2D",Di="Dilation2DBackpropInput",Ai="Dilation2DBackpropFilter",dn="RealDiv",Fi="Einsum",fn="Elu",Va="EluGrad",Wa="Erf",hn="Equal",gn="Exp",Js="ExpandDims",xn="Expm1",Pi="FFT",ea="Fill",yn="FlipLeftRight",bn="Floor",Cn="FloorDiv",wn="FusedBatchNorm",ta="GatherV2",Sn="GatherNd",In="Greater",vn="GreaterEqual",xo="Identity",Oi="IFFT",Mi="Imag",kn="IsFinite",Nn="IsInf",Tn="IsNan",_n="LeakyRelu",$n="Less",En="LessEqual",Rn="LinSpace",Dn="Log",An="Log1p",Fn="LogicalAnd",Pn="LogicalNot",On="LogicalOr",m0="LogicalXor",qpe="LogSoftmax",jpe="LowerBound",Mn="LRN",Ua="LRNGrad",Xpe="MatrixBandPart",Ln="Max",Bn="Maximum",zn="MaxPool",Hp="MaxPoolGrad",ra="MaxPool3D",Li="MaxPool3DGrad",Bi="MaxPoolWithArgmax",Vn="Mean",Wn="Min",Un="Minimum",Gn="MirrorPad",Ga="Mod",Hn="Multinomial",Kn="Multiply",oa="Neg",qn="NotEqual",jn="NonMaxSuppressionV3",Ha="NonMaxSuppressionV4",Xn="NonMaxSuppressionV5",na="OnesLike",Yn="OneHot",sa="Pack",Qn="PadV2",Ype="Pool",Zn="Pow",Jn="Prelu",es="Prod",Kp="RaggedGather",qp="RaggedRange",jp="RaggedTensorToTensor",aa="Range",zi="Real",ts="Reciprocal",rs="Relu",ia="Reshape",os="ResizeNearestNeighbor",Ka="ResizeNearestNeighborGrad",ns="ResizeBilinear",qa="ResizeBilinearGrad",ss="Relu6",as="Reverse",is="Round",us="Rsqrt",ps="ScatterNd",cs="TensorScatterUpdate",ls="SearchSorted",ua="Select",ms="Selu",pa="Slice",ds="Sin",ja="Sinh",fs="Sign",hs="Sigmoid",gs="Softplus",xs="Sqrt",ys="Sum",ca="SpaceToBatchND",la="SplitV",bs="Softmax",Vi="SparseFillEmptyRows",Xa="SparseReshape",Wi="SparseSegmentMean",Ui="SparseSegmentSum",Cs="SparseToDense",ws="SquaredDifference",Gi="Square",_u="StaticRegexReplace",Ss="StridedSlice",ma="StringNGrams",Hi="StringSplit",Ki="StringToHashBucketFast",Is="Sub",vs="Tan",ks="Tanh",so="Tile",Ns="TopK",Ts="Transform",ao="Transpose",qi="Unique",da="Unpack",ji="UnsortedSegmentSum",Qpe="UpperBound",fa="ZerosLike",yo="Step",$u="FromPixels",_s="RotateWithOffset",bo="_FusedMatMul",Co="FusedConv2D",wo="FusedDepthwiseConv2D";function ha(...r){P().getBool("IS_TEST")||P().getBool("PROD")||console.warn(...r)}function mG(...r){P().getBool("IS_TEST")||P().getBool("PROD")||console.log(...r)}var Xp=ll("kernelRegistry",()=>new Map),dl=ll("gradRegistry",()=>new Map);function fl(r,e){let t=KC(r,e);return Xp.get(t)}function HC(r){return dl.get(r)}function Km(r){let e=Xp.entries(),t=[];for(;;){let{done:o,value:n}=e.next();if(o)break;let[s,a]=n,[i]=s.split("_");i===r&&t.push(a)}return t}function Ya(r){let{kernelName:e,backendName:t}=r,o=KC(e,t);Xp.has(o)&&ha(`The kernel '${e}' for backend '${t}' is already registered`),Xp.set(o,r)}function rce(r){let{kernelName:e}=r;dl.has(e)&&P().getBool("DEBUG")&&ha(`Overriding the gradient for '${e}'`),dl.set(e,r)}function oce(r,e){let t=KC(r,e);if(!Xp.has(t))throw new Error(`The kernel '${r}' for backend '${e}' is not registered`);Xp.delete(t)}function nce(r){if(!dl.has(r))throw new Error(`The gradient '${r}' for backend is not registered`);dl.delete(r)}function sce(r,e){Km(r).forEach(o=>{let n=Object.assign({},o,{backendName:e});Ya(n)})}function KC(r,e){return`${e}_${r}`}var y={};He(y,{arraysEqual:()=>br,arraysEqualWithNull:()=>OC,assert:()=>$,assertNonNegativeIntegerDimensions:()=>Ct,assertNonNull:()=>oo,assertShapesMatch:()=>xt,bytesFromStringArray:()=>VC,bytesPerElement:()=>Vp,checkConversionForErrors:()=>BC,clamp:()=>zp,computeStrides:()=>Us,convertBackendValuesAndArrayBuffer:()=>oG,createScalarValue:()=>bG,createShuffledIndices:()=>JU,decodeString:()=>Jp,distSquared:()=>XU,encodeString:()=>Yi,fetch:()=>wG,fingerPrint64:()=>yG,flatten:()=>Es,getArrayFromDType:()=>Hm,getTypedArrayFromDType:()=>LC,hasEncodingLoss:()=>rG,hexToLong:()=>hl,indexToLoc:()=>aG,inferDtype:()=>ki,inferFromImplicitShape:()=>tG,isBoolean:()=>i0,isFunction:()=>Ws,isInt:()=>Ba,isNumber:()=>u0,isPromise:()=>Tu,isScalarShape:()=>YU,isString:()=>Bo,isTypedArray:()=>Pt,isValidDtype:()=>zC,locToIndex:()=>sG,makeOnesTypedArray:()=>pl,makeZerosNestedTypedArray:()=>nG,makeZerosTypedArray:()=>Up,nearestDivisor:()=>Wp,nearestLargerEven:()=>KU,now:()=>Fu,parseAxisParam:()=>vi,randUniform:()=>jU,repeatedTry:()=>eG,rightPad:()=>Nu,shuffle:()=>a0,shuffleCombo:()=>HU,sizeFromShape:()=>Ue,sizeToSquarishShape:()=>ZU,squeezeShape:()=>MC,sum:()=>qU,swap:()=>Gm,tanh:()=>QU,toNestedArray:()=>ku,toTypedArray:()=>Zp});function qm(r){return r instanceof Float32Array||r instanceof Int32Array||r instanceof Uint8Array||r instanceof Uint8ClampedArray}var YC=Bp(v0());var Au=YC.default||YC;function hl(r){return Au.fromString(r,!0,16)}var N0=hl("c3a5c85c97cb3127"),Du=hl("b492b66fbe98f273"),Cr=hl("9ae16a3b2f90404f");function XC(r){return r.xor(r.shru(47))}function T0(r,e,t){let o=r.slice(e,e+t);return Au.fromBytes(Array.from(o),!0,!0)}function wt(r,e){return T0(r,e,8)}function k0(r,e){return T0(r,e,4)}function Yt(r,e){return e===0?r:r.shru(e).or(r.shl(64-e))}function Xi(r,e,t=hl("9ddfea08eb382d69")){let o=r.xor(e).mul(t);o=o.xor(o.shru(47));let n=e.xor(o).mul(t);return n=n.xor(n.shru(47)),n=n.mul(t),n}function fG(r,e,t,o,n,s){n=n.add(r),s=Yt(s.add(n).add(o),21);let a=n;return n=n.add(e),n=n.add(t),s=s.add(Yt(n,44)),[n.add(o),s.add(a)]}function Xm(r,e,t,o){return fG(wt(r,e),wt(r,e+8),wt(r,e+16),wt(r,e+24),t,o)}function hG(r,e=r.length){if(e>=8){let t=Cr.add(e*2),o=wt(r,0).add(Cr),n=wt(r,e-8),s=Yt(n,37).mul(t).add(o),a=Yt(o,25).add(n).mul(t);return Xi(s,a,t)}if(e>=4){let t=Cr.add(e*2),o=k0(r,0);return Xi(o.shl(3).add(e),k0(r,e-4),t)}if(e>0){let t=r[0],o=r[e>>1],n=r[e-1],s=t+(o<<8),a=e+(n<<2);return XC(Cr.mul(s).xor(N0.mul(a))).mul(Cr)}return Cr}function gG(r,e=r.length){let t=Cr.add(e*2),o=wt(r,0).mul(Du),n=wt(r,8),s=wt(r,e-8).mul(t),a=wt(r,e-16).mul(Cr);return Xi(Yt(o.add(n),43).add(Yt(s,30)).add(a),o.add(Yt(n.add(Cr),18)).add(s),t)}function xG(r,e=r.length){let t=Cr.add(e*2),o=wt(r,0).mul(Cr),n=wt(r,8),s=wt(r,e-8).mul(t),a=wt(r,e-16).mul(Cr),i=Yt(o.add(n),43).add(Yt(s,30)).add(a),p=Xi(i,o.add(Yt(n.add(Cr),18)).add(s),t),u=wt(r,16).mul(t),c=wt(r,24),l=i.add(wt(r,e-32)).mul(t),m=p.add(wt(r,e-24)).mul(t);return Xi(Yt(u.add(c),43).add(Yt(l,30)).add(m),u.add(Yt(c.add(o),18)).add(l),t)}function yG(r,e=r.length){let t=Au.fromNumber(81,!0);if(e<=32)return e<=16?hG(r,e):gG(r,e);if(e<=64)return xG(r,e);let o=t,n=t.mul(Du).add(113),s=XC(n.mul(Cr).add(113)).mul(Cr),a=[Au.UZERO,Au.UZERO],i=[Au.UZERO,Au.UZERO];o=o.mul(Cr).add(wt(r,0));let p=0,u=(e-1>>6)*64,c=u+(e-1&63)-63;do o=Yt(o.add(n).add(a[0]).add(wt(r,p+8)),37).mul(Du),n=Yt(n.add(a[1]).add(wt(r,p+48)),42).mul(Du),o=o.xor(i[1]),n=n.add(a[0]).add(wt(r,p+40)),s=Yt(s.add(i[0]),33).mul(Du),a=Xm(r,p,a[1].mul(Du),o.add(i[0])),i=Xm(r,p+32,s.add(i[1]),n.add(wt(r,p+16))),[s,o]=[o,s],p+=64;while(p!==u);let l=Du.add(s.and(255).shl(1));return p=c,i[0]=i[0].add(e-1&63),a[0]=a[0].add(i[0]),i[0]=i[0].add(a[0]),o=Yt(o.add(n).add(a[0]).add(wt(r,p+8)),37).mul(l),n=Yt(n.add(a[1]).add(wt(r,p+48)),42).mul(l),o=o.xor(i[1].mul(9)),n=n.add(a[0].mul(9).add(wt(r,p+40))),s=Yt(s.add(i[0]),33).mul(l),a=Xm(r,p,a[1].mul(l),o.add(i[0])),i=Xm(r,p+32,s.add(i[1]),n.add(wt(r,p+16))),[s,o]=[o,s],Xi(Xi(a[0],i[0],l).add(XC(n).mul(N0)).add(s),Xi(a[1],i[1],l).add(o),l)}function bG(r,e){return e==="string"?Yi(r):Zp([r],e)}function CG(r,e){return r instanceof Float32Array&&e==="float32"||r instanceof Int32Array&&e==="int32"||r instanceof Uint8Array&&e==="bool"}function Zp(r,e){if(e==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(r)&&(r=Es(r)),P().getBool("DEBUG")&&BC(r,e),CG(r,e))return r;if(e==null||e==="float32"||e==="complex64")return new Float32Array(r);if(e==="int32")return new Int32Array(r);if(e==="bool"){let t=new Uint8Array(r.length);for(let o=0;o{n=o()},a,i=Fu();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(s);else{s();for(let u of n)u.dataSync();a=Promise.resolve({kernelMs:Fu()-i})}if(P().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let u=0;u{SG(l,c.dtype,e)})}return{kernelName:e,outputs:n,inputs:t,timeMs:a.then(u=>u.kernelMs),extraInfo:a.then(u=>u.getExtraProfileInfo!=null?u.getExtraProfileInfo():"")}}logKernelProfile(e){let{kernelName:t,outputs:o,timeMs:n,inputs:s,extraInfo:a}=e;o.forEach(i=>{Promise.all([i.data(),n,a]).then(p=>{this.logger.logKernelProfile(t,i,p[0],p[1],s,p[2])})})}};function SG(r,e,t){if(e!=="float32")return!1;for(let o=0;o0?h:""} `}}console.log(`%c${p} %c${i} %c${u}D ${l} %c${c} %c${m} %c${a}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}};function _0(r,e,t){let o={},n={};for(let p=0;po[h.id]=!0),d=!0,n[u.id]=!0;break}if(d)break}}let s={};s[t.id]=!0;let a={};for(let p=r.length-1;p>=0;p--){let u=r[p],c=u.inputs;for(let l=0;l=0;n--){let s=e[n],a=[];if(s.outputs.forEach(p=>{let u=r[p.id];u!=null?a.push(u):a.push(null)}),s.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);let i=s.gradient(a);for(let p in s.inputs){if(!(p in i))throw new Error(`Cannot backprop through input ${p}. Available gradients found: ${Object.keys(i)}.`);let u=t(()=>i[p]());if(u.dtype!=="float32")throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${p} must have 'float32' dtype, but has '${u.dtype}'`);let c=s.inputs[p];if(!br(u.shape,c.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${p}' has shape '${u.shape}', which does not match the shape of the input '${c.shape}'`);if(r[c.id]==null)r[c.id]=u;else{let l=r[c.id];r[c.id]=o(l,u),l.dispose()}}}}var E0=20,gl=3,ZC=7;function R0(r,e,t,o){let n=Us(e),s=IG(r,e,t,n),a=e.length,i=Qm(r,e,t,n,s),p=["Tensor"];return o&&(p.push(` dtype: ${t}`),p.push(` rank: ${a}`),p.push(` shape: [${e}]`),p.push(" values:")),p.push(i.map(u=>" "+u).join(` `)),p.join(` -`)}function Cz(r,e,t,o){let n=We(e),s=o[o.length-1],a=new Array(s).fill(0),i=e.length,p=t==="complex64"?Yc(r):r;if(i>1)for(let u=0;ud0){let g=jc*a,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((i-jc)*a,i*a));return t==="complex64"&&(x=Yc(x),b=Yc(b)),["["+x.map((C,w)=>Xc(C,n[w],t)).join(", ")+", ..., "+b.map((C,w)=>Xc(C,n[i-jc+w],t)).join(", ")+"]"]}return["["+(t==="complex64"?Yc(r):Array.from(r)).map((g,x)=>Xc(g,n[x],t)).join(", ")+"]"]}let u=e.slice(1),c=o.slice(1),l=o[0]*a,m=[];if(i>d0){for(let h=0;h0?m[0]+d:"");for(let h=1;h1)for(let u=0;uE0){let g=gl*a,x=Array.from(r.slice(0,g)),b=Array.from(r.slice((i-gl)*a,i*a));return t==="complex64"&&(x=yl(x),b=yl(b)),["["+x.map((w,S)=>xl(w,n[S],t)).join(", ")+", ..., "+b.map((w,S)=>xl(w,n[i-gl+S],t)).join(", ")+"]"]}return["["+(t==="complex64"?yl(r):Array.from(r)).map((g,x)=>xl(g,n[x],t)).join(", ")+"]"]}let u=e.slice(1),c=o.slice(1),l=o[0]*a,m=[];if(i>E0){for(let h=0;h0?m[0]+d:"");for(let h=1;h`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=o||Sb(t,this.size),this.strides=xs(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let o=this.locToIndex(t);this.values[o]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let s=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(s)}t++}let o=e[e.length-1];for(let n=0;nRp(o))}catch(o){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),ns().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=ns().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Rp(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await ns().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(ns().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Dp.print(this,e)}clone(){return this.throwIfDisposed(),Dp.clone(this)}toString(e=!1){let t=this.dataSync();return f0(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Dp.cast(this,e)}variable(e=!0,t,o){return this.throwIfDisposed(),ns().makeVariable(this,e,t,o)}};Object.defineProperty(it,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function wz(){return Gc("Tensor",()=>it)}wz();var Na=class extends it{constructor(e,t,o,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=o}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Or(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);ns().disposeTensor(this),this.dataId=e.dataId,ns().incRef(this,null)}dispose(){ns().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Na,Symbol.hasInstance,{value:r=>r instanceof it&&r.assign!=null&&r.assign instanceof Function});var C0={};Ge(C0,{assertTypesMatch:()=>Ub,getTensorsInContainer:()=>Qc,isTensorInList:()=>vz,makeTypesMatch:()=>De});var Lb;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(Lb||(Lb={}));var Bb;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(Bb||(Bb={}));var Vb;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(Vb||(Vb={}));var zb;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(zb||(zb={}));var Wb;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(Wb||(Wb={}));var Iz={float32:zb,int32:Bb,bool:Vb,complex64:Wb};function dt(r,e){if(r==="string"||e==="string"){if(r==="string"&&e==="string")return"string";throw new Error(`Can not upcast ${r} with ${e}`)}return Iz[r][e]}function Ta(r){return dt(r,"int32")}function De(r,e){if(r.dtype===e.dtype)return[r,e];let t=dt(r.dtype,e.dtype);return[r.cast(t),e.cast(t)]}function Ub(r,e){$(r.dtype===e.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${e.dtype}) input must match`)}function vz(r,e){return e.some(t=>t.id===r.id)}function Qc(r){let e=[];return b0(r,e,new Set),e}function b0(r,e,t){if(r==null)return;if(r instanceof it){e.push(r);return}if(!kz(r))return;let o=r;for(let n in o){let s=o[n];t.has(s)||(t.add(s),b0(s,e,t))}}function kz(r){return Array.isArray(r)||typeof r=="object"}function Gb(r){return r.kernelName!=null}var Mm=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},vi=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Mm}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Rm(e).forEach(o=>{o.disposeFunc!=null&&o.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let o=t.factory();if(o&&!(o instanceof Zr)&&typeof o.then=="function"){let n=++this.pendingBackendInitId,s=o.then(a=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(o),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,o){e();try{let n=o();return t(),n}catch(n){throw t(),n}}nextTensorId(){return vi.nextTensorId++}nextVariableId(){return vi.nextVariableId++}clone(e){let t=T.runKernel(mo,{x:e}),o={x:e},n=a=>({x:()=>{let i="float32",p={x:a},u={dtype:i};return T.runKernel(co,p,u)}}),s=[];return this.addTapeNode(this.state.activeScope.name,o,[t],n,s,{}),t}runKernel(e,t,o){if(this.backendName==null&&this.backend,!(Kc(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:o})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,o){let n=this.backend.numDataIds(),s=0;o.forEach(p=>{s+=p.dtype==="complex64"?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,o=[],n=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let p,u=Gb(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(Gb(e)){let{kernelName:f,inputs:h,attrs:g}=e;this.backendName==null&&this.backend;let x=Kc(f,this.backendName);$(x!=null,()=>`Cannot find registered kernel '${f}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();p=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let C=Array.isArray(p)?p:[p];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(f,b,C);let w=C.map(k=>k.rank!=null?k:this.makeTensorFromTensorInfo(k));if(n){let k=this.getTensorsForGradient(f,h,w);o=this.saveTensorsForBackwardMode(k)}return w}}else{let{forwardFunc:f}=e,h=g=>{n&&(o=g.map(x=>this.keep(this.clone(x))))};i=()=>{let g=this.backend.numDataIds();p=this.tidy(()=>f(this.backend,h));let x=Array.isArray(p)?p:[p];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(u,g,x),x}}let{inputs:c,attrs:l}=e,m=Gb(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(u,c,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(u,c,t,m,o,l),this.state.profiling&&this.state.activeProfile.kernels.push({name:u,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(f=>c[f]!=null?c[f].shape:null),outputShapes:t.map(f=>f.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(p)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(o=>this.keep(this.clone(o)))}getTensorsForGradient(e,t,o){let n=Eb(e);if(n!=null){let s=n.inputsToSave||[],a=n.outputsToSave||[],i;n.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(u=>t[u])):i=s.map(u=>t[u]);let p=o.filter((u,c)=>a[c]);return i.concat(p)}return[]}makeTensor(e,t,o,n){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");o=o||"float32",n=n||this.backend;let s=e;o==="string"&&Oo(e[0])&&(s=e.map(p=>Ii(p)));let a=n.write(s,t,o),i=new it(t,o,a,this.nextTensorId());if(this.trackTensor(i,n),o==="string"){let p=this.state.tensorInfo.get(a),u=vb(s);this.state.numBytes+=u-p.bytes,p.bytes=u}return i}makeTensorFromDataId(e,t,o,n){o=o||"float32";let s={dataId:e,shape:t,dtype:o};return this.makeTensorFromTensorInfo(s,n)}makeTensorFromTensorInfo(e,t){let{dataId:o,shape:n,dtype:s}=e,a=new it(n,s,o,this.nextTensorId());return this.trackTensor(a,t),a}makeVariable(e,t=!0,o,n){o=o||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let s=new Na(e,t,o,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let o=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(o=e.size*up(e.dtype)),this.state.numBytes+=o,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o})),e instanceof Na||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let o=e.size*up(e.dtype);this.state.numBytes-=o}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,o=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-o;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,o,n,s,a){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:o,saved:s},p=Eb(e);p!=null&&(n=p.gradFunc),n!=null&&(i.gradient=u=>(u=u.map((c,l)=>{if(c==null){let m=o[l],d=lp(m.size,m.dtype);return this.makeTensor(d,m.shape,m.dtype)}return c}),n(u.length>1?u:u[0],s,a))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=Qc(e),o=new Set(t.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===n.id&&this.track(s)})}gradients(e,t,o,n=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),o!=null&&o.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${o.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(s instanceof it,()=>"The result y returned by f() must be a tensor.");let a=l0(this.state.activeTape,t,s);if(!n&&a.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[s.id]=o==null?Nz(s.shape):o,m0(i,a,u=>this.tidy(u),Tz);let p=t.map(u=>i[u.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(u=>{for(let c of u.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:p}})}customGrad(e){return $(gs(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof it),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let o,n={};t.forEach((i,p)=>{n[p]=i});let s=(i,p)=>(o=e(...t,p),$(o.value instanceof it,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(gs(o.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),o.value),a=(i,p)=>{let u=o.gradFunc(i,p),c=Array.isArray(u)?u:[u];$(c.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(c.every(m=>m instanceof it),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let l={};return c.forEach((m,d)=>{l[d]=()=>m}),l};return this.runKernelFunc({forwardFunc:s,backwardsFunc:a,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=ou(),o=await this.backend.time(e);return o.wallMs=ou()-t,o}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Mm;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};vi.nextTensorId=0;vi.nextVariableId=0;function Nz(r){let e=Wc(We(r),"float32");return T.makeTensor(e,r,"float32")}function Hb(){let r=Tb();if(r._tfengine==null){let e=new Uc(r);r._tfengine=new vi(e)}return jI(r._tfengine.ENV),g0(()=>r._tfengine),r._tfengine}var T=Hb();function Tz(r,e){let t={a:r,b:e};return T.runKernel(eo,t)}var ki={};Ge(ki,{isBrowser:()=>qb,isMobile:()=>Ez,mockIsMobile:()=>$z});function _z(){return typeof navigator!="undefined"&&navigator!=null}var Kb;function $z(r){Kb=r}function Ez(r){if(Kb!==void 0)return Kb;if(r||_z()){if(r||(r=navigator),r.product==="ReactNative")return!0;let e=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!e){let t=r;return t.userAgentData&&t.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(e.substr(0,4))}return!1}function qb(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var oo=O();oo.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});oo.registerFlag("IS_BROWSER",()=>qb());oo.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");oo.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));oo.registerFlag("PROD",()=>!1);oo.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>oo.getBool("DEBUG"));oo.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);oo.registerFlag("IS_TEST",()=>!1);oo.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>!0);oo.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);oo.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);oo.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function or(r,e){let t=r;if(Bt(r))return e==="string"?[]:[r.length];if(typeof r=="object"){if("texture"in r){let s=r.channels||"RGBA";return[r.height,r.width*s.length]}else if("buffer"in r&&!(r.buffer instanceof ArrayBuffer))return[r.buffer.size/(e==null?4:up(e))]}if(!Array.isArray(r))return[];let n=[];for(;Array.isArray(t)||Bt(t)&&e!=="string";)n.push(t.length),t=t[0];return Array.isArray(r)&&O().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&w0(r,n,[]),n}function w0(r,e,t){if(t=t||[],!Array.isArray(r)&&!Bt(r)){$(e.length===0,()=>`Element arr[${t.join("][")}] is a primitive, but should be an array/TypedArray of ${e[0]} elements`);return}$(e.length>0,()=>`Element arr[${t.join("][")}] should be a primitive, but is an array of ${r.length} elements`),$(r.length===e[0],()=>`Element arr[${t.join("][")}] should have ${e[0]} elements, but has ${r.length} elements`);let o=e.slice(1);for(let n=0;n=0&&(n=o),S0(o,n,e,t),r==null||!Bt(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let p=r==null?"null":r.constructor.name;throw new Error(`Argument '${e}' passed to '${t}' must be a Tensor or TensorLike, but got '${p}'`)}let s=or(r,n);!Bt(r)&&!Array.isArray(r)&&(r=[r]);let i=n!=="string"?Ap(r,n):os(r,[],!0);return T.makeTensor(i,s,n)}function _a(r,e,t,o="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${e} passed to ${t} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,a)=>v(s,`${e}[${a}]`,t,o))}var jb="__op";function N(r){let e=Object.keys(r);if(e.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${e.length} keys.`);let t=e[0],o=r[t];t.endsWith("_")&&(t=t.substring(0,t.length-1)),t=t+jb;let n=(...s)=>{T.startScope(t);try{let a=o(...s);return Qi(a)&&console.error("Cannot return a Promise inside of tidy."),T.endScope(a),a}catch(a){throw T.endScope(null),a}};return Object.defineProperty(n,"name",{value:t,configurable:!0}),n}function Az(r,e){let t=v(r,"real","complex"),o=v(e,"imag","complex");gt(t.shape,o.shape,`real and imag shapes, ${t.shape} and ${o.shape}, must match in call to tf.complex().`);let n={real:t,imag:o};return T.runKernel(ri,n)}var Tr=N({complex_:Az});function xr(r,e,t,o){if(o==null)o=pp(r);else if(o==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(typeof r=="object"&&("texture"in r||"buffer"in r&&!(r.buffer instanceof ArrayBuffer))){if(o!=="float32"&&o!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${o}.`);return T.backend.createTensorFromGPUData(r,e||t,o)}if(!Bt(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(e!=null){bt(e);let n=We(e),s=We(t);$(n===s,()=>`Based on the provided shape, [${e}], the tensor should have ${n} values but has ${s}`);for(let a=0;a`Error creating a new Tensor. Inferred shape (${t}) does not match the provided shape (${e}). `)}}return!Bt(r)&&!Array.isArray(r)&&(r=[r]),e=e||t,r=o!=="string"?Ap(r,o):os(r,[],!0),T.makeTensor(r,e,o)}function nr(r,e,t){let o=or(r,t);return xr(r,e,o,t)}var Zc={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var Lm=4;async function v0(r,e){let t=[],o=[],n=Array.isArray(r)?r.map(a=>a.name):Object.keys(r);for(let a=0;a{let m=await p.bytes(),d=m.reduce((g,x)=>g+x.length,0)+Lm*m.length,f=new Uint8Array(d),h=0;for(let g=0;g{if(e+=s.byteLength,t.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let o=new Uint8Array(e),n=0;return t.forEach(s=>{o.set(new Uint8Array(s.buffer),n),n+=s.byteLength}),o.buffer}var Xb=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function I0(r){return Xb?Buffer.byteLength(r):new Blob([r]).size}function k0(r){if(Xb)return Buffer.from(r).toString("base64");let e=new Uint8Array(r),t="";for(let o=0,n=e.length;o{e+=n.byteLength});let t=new Uint8Array(e),o=0;return r.forEach(n=>{t.set(new Uint8Array(n),o),o+=n.byteLength}),t.buffer}function Yb(r){let e="/";for(r=r.trim();r.endsWith(e);)r=r.slice(0,r.length-1);let t=r.split(e);return t[t.length-1]}function Vm(r,e){let t={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:e};return r.signature!=null&&(t.signature=r.signature),r.userDefinedMetadata!=null&&(t.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(t.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(t.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(t.trainingConfig=r.trainingConfig),t}function Qb(r,e,t){let o={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(o.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!e)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!t)throw new Error("modelJSON has weightsManifest but weightData is null");o.weightSpecs=e,o.weightData=t}return r.signature!=null&&(o.signature=r.signature),r.userDefinedMetadata!=null&&(o.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(o.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(o.initializerSignature=r.initializerSignature),o}async function Op(r,e){let t,o;return r.weightsManifest!=null&&([t,o]=await e(r.weightsManifest)),Qb(r,t,o)}function Ms(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:I0(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:I0(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function zm(r){let e=[];for(let t of r)e.push(...t.weights);return e}function Dz(){let r=t=>{let o=t<<13,n=0;for(;!(o&8388608);)n-=8388608,o<<=1;return o&=-8388609,n+=947912704,o|n},e=new Uint32Array(2048);e[0]=0;for(let t=1;t<1024;t++)e[t]=r(t);for(let t=1024;t<2048;t++)e[t]=939524096+(t-1024<<13);return e}function Fz(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let e=1;e<31;e++)r[e]=e<<23;for(let e=33;e<63;e++)r[e]=2147483648+(e-32<<23);return r}function Oz(){let r=new Uint32Array(64);for(let e=0;e<64;e++)r[e]=1024;return r[0]=r[32]=0,r}function Pz(){let r=Dz(),e=Fz(),t=Oz();return o=>{let n=new ArrayBuffer(4*o.length),s=new Uint32Array(n);for(let a=0;a>10]+(i&1023)]+e[i>>10];s[a]=p}return new Float32Array(n)}}var mt=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return mt.instance==null&&(mt.instance=new mt),mt.instance}static registerSaveRouter(e){mt.getInstance().saveRouters.push(e)}static registerLoadRouter(e){mt.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return mt.getHandlers(e,"save")}static getLoadHandlers(e,t){return mt.getHandlers(e,"load",t)}static getHandlers(e,t,o){let n=[];return(t==="load"?mt.getInstance().loadRouters:mt.getInstance().saveRouters).forEach(a=>{let i=a(e,o);i!==null&&n.push(i)}),n}},T0=r=>mt.registerSaveRouter(r),_0=r=>mt.registerLoadRouter(r),$0=r=>mt.getSaveHandlers(r),E0=(r,e)=>mt.getLoadHandlers(r,e);var Zb="tensorflowjs",Jb=1,nu="models_store",Ni="model_info_store";function A0(){if(!O().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,e=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(e==null)throw new Error("The current browser does not appear to support IndexedDB.");return e}function eC(r){let e=r.result;e.createObjectStore(nu,{keyPath:"modelPath"}),e.createObjectStore(Ni,{keyPath:"modelPath"})}var Ls=class{constructor(e){if(this.indexedDB=A0(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((o,n)=>{let s=this.indexedDB.open(Zb,Jb);s.onupgradeneeded=()=>eC(s),s.onsuccess=()=>{let a=s.result;if(t==null){let i=a.transaction(nu,"readonly"),u=i.objectStore(nu).get(this.modelPath);u.onsuccess=()=>{if(u.result==null)return a.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));o(u.result.modelArtifacts)},u.onerror=c=>(a.close(),n(u.error)),i.oncomplete=()=>a.close()}else{let i=Ms(t),p=a.transaction(Ni,"readwrite"),u=p.objectStore(Ni),c=u.put({modelPath:this.modelPath,modelArtifactsInfo:i}),l;c.onsuccess=()=>{l=a.transaction(nu,"readwrite");let d=l.objectStore(nu).put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i});d.onsuccess=()=>o({modelArtifactsInfo:i}),d.onerror=f=>{u=p.objectStore(Ni);let h=u.delete(this.modelPath);h.onsuccess=()=>(a.close(),n(d.error)),h.onerror=g=>(a.close(),n(d.error))}},c.onerror=m=>(a.close(),n(c.error)),p.oncomplete=()=>{l==null?a.close():l.oncomplete=()=>a.close()}}},s.onerror=a=>n(s.error)})}};Ls.URL_SCHEME="indexeddb://";var R0=r=>O().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ls.URL_SCHEME)?Mz(r.slice(Ls.URL_SCHEME.length)):null;mt.registerSaveRouter(R0);mt.registerLoadRouter(R0);function Mz(r){return new Ls(r)}function Lz(r){return r.startsWith(Ls.URL_SCHEME)?r.slice(Ls.URL_SCHEME.length):r}var Wm=class{constructor(){this.indexedDB=A0()}async listModels(){return new Promise((e,t)=>{let o=this.indexedDB.open(Zb,Jb);o.onupgradeneeded=()=>eC(o),o.onsuccess=()=>{let n=o.result,s=n.transaction(Ni,"readonly"),i=s.objectStore(Ni).getAll();i.onsuccess=()=>{let p={};for(let u of i.result)p[u.modelPath]=u.modelArtifactsInfo;e(p)},i.onerror=p=>(n.close(),t(i.error)),s.oncomplete=()=>n.close()},o.onerror=n=>t(o.error)})}async removeModel(e){return e=Lz(e),new Promise((t,o)=>{let n=this.indexedDB.open(Zb,Jb);n.onupgradeneeded=()=>eC(n),n.onsuccess=()=>{let s=n.result,a=s.transaction(Ni,"readwrite"),i=a.objectStore(Ni),p=i.get(e),u;p.onsuccess=()=>{if(p.result==null)return s.close(),o(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let c=i.delete(e),l=()=>{u=s.transaction(nu,"readwrite");let d=u.objectStore(nu).delete(e);d.onsuccess=()=>t(p.result.modelArtifactsInfo),d.onerror=f=>o(p.error)};c.onsuccess=l,c.onerror=m=>(l(),s.close(),o(p.error))}},p.onerror=c=>(s.close(),o(p.error)),a.oncomplete=()=>{u==null?s.close():u.oncomplete=()=>s.close()}},n.onerror=s=>o(n.error)})}};var $a="/",Pp="tensorflowjs_models",D0="info",Bz="model_topology",Vz="weight_specs",zz="weight_data",Wz="model_metadata";function F0(r){return{info:[Pp,r,D0].join($a),topology:[Pp,r,Bz].join($a),weightSpecs:[Pp,r,Vz].join($a),weightData:[Pp,r,zz].join($a),modelMetadata:[Pp,r,Wz].join($a)}}function O0(r){for(let e of Object.values(r))window.localStorage.removeItem(e)}function Uz(r){let e=r.split($a);if(e.length<3)throw new Error(`Invalid key format: ${r}`);return e.slice(1,e.length-1).join($a)}function Gz(r){return r.startsWith(Bs.URL_SCHEME)?r.slice(Bs.URL_SCHEME.length):r}var Bs=class{constructor(e){if(!O().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=F0(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),o=JSON.stringify(e.weightSpecs),n=Ms(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,o),this.LS.setItem(this.keys.weightData,k0(e.weightData));let s={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:n}}catch(s){throw O0(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},o=JSON.parse(this.LS.getItem(this.keys.topology));if(o==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=o;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let i=JSON.parse(s);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let a=this.LS.getItem(this.keys.weightData);if(a==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=N0(a),t}};Bs.URL_SCHEME="localstorage://";var P0=r=>O().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Bs.URL_SCHEME)?Hz(r.slice(Bs.URL_SCHEME.length)):null;mt.registerSaveRouter(P0);mt.registerLoadRouter(P0);function Hz(r){return new Bs(r)}var Um=class{constructor(){$(O().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=Pp+$a,o=$a+D0;for(let n=0;n"scheme must not be undefined or null."),e.endsWith(Mp)&&(e=e.slice(0,e.indexOf(Mp))),$(e.length>0,()=>"scheme must not be an empty string.");let o=Xt.getInstance();$(o.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),o.managers[e]=t}static getManager(e){let t=Xt.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Xt.getInstance().managers)}};function Gm(r){if(r.indexOf(Mp)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Xt.getSchemes().join(",")}`);return{scheme:r.split(Mp)[0],path:r.split(Mp)[1]}}async function M0(r,e,t=!1){$(r!==e,()=>`Old path and new path are the same: '${r}'`);let o=mt.getLoadHandlers(r);$(o.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),$(o.length<2,()=>`Copying failed because more than one (${o.length}) load handlers for source URL ${r}.`);let n=o[0],s=mt.getSaveHandlers(e);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${e}.`),$(s.length<2,()=>`Copying failed because more than one (${o.length}) save handlers for destination URL ${e}.`);let a=s[0],i=Gm(r).scheme,p=Gm(r).path,u=i===Gm(r).scheme,c=await n.load();t&&u&&await Xt.getManager(i).removeModel(p);let l=await a.save(c);return t&&!u&&await Xt.getManager(i).removeModel(p),l.modelArtifactsInfo}async function L0(){let r=Xt.getSchemes(),e={};for(let t of r){let o=await Xt.getManager(t).listModels();for(let n in o){let s=t+Mp+n;e[s]=o[n]}}return e}async function B0(r){let e=Gm(r);return Xt.getManager(e.scheme).removeModel(e.path)}async function V0(r,e){return M0(r,e,!1)}async function z0(r,e){return M0(r,e,!0)}var tC=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!O().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",o=>{if(o.source===window&&o.data.name===this.messageName){o.stopPropagation();let n=this.functionRefs[o.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}};if(O().get("IS_BROWSER")){O().setPlatform("browser",new tC);try{Xt.registerManager(Bs.URL_SCHEME,new Um)}catch(r){}try{Xt.registerManager(Ls.URL_SCHEME,new Wm)}catch(r){}}var Kz={importFetch:()=>W0()},rC;var oC=class{constructor(){this.util=U0(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return O().global.fetch!=null?O().global.fetch(e,t):(rC==null&&(rC=Kz.importFetch()),rC(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};O().get("IS_NODE")&&!O().get("IS_BROWSER")&&O().setPlatform("node",new oC);function le(r,e="float32",t){return e=e||"float32",bt(r),new st(r,e,t)}function qz(r,e){let t=v(r,"x","cast");if(!Ib(e))throw new Error(`Failed to cast to unknown dtype ${e}`);if(e==="string"&&t.dtype!=="string"||e!=="string"&&t.dtype==="string")throw new Error("Only strings can be casted to strings");let o={x:t},n={dtype:e};return T.runKernel(co,o,n)}var je=N({cast_:qz});function jz(r){let t={x:v(r,"x","clone","string_or_numeric")};return T.runKernel(mo,t)}var Lr=N({clone_:jz});function Hm(r,e=!1){console.log(r.toString(e))}Hb();var Xz={buffer:le,cast:je,clone:Lr,print:Hm};x0(Xz);function Iie(){O().set("PROD",!0)}function vie(){O().set("DEBUG",!0)}function kie(){O().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function nC(r){O().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}y0(nC);function Nie(){T.disposeVariables()}function sr(){return T}function Tie(){return T.memory()}function _ie(r){return T.profile(r)}function Ee(r,e){return T.tidy(r,e)}function Ot(r){Qc(r).forEach(t=>t.dispose())}function _r(r){return T.keep(r)}function $ie(r){return T.time(r)}function Eie(r){return T.setBackend(r)}function Aie(){return T.ready()}function Rie(){return T.backendName}function Die(r){T.removeBackend(r)}function Fie(r){return T.findBackend(r)}function Oie(r){return T.findBackendFactory(r)}function Ti(r,e,t=1){return T.registerBackend(r,e,t)}function Pie(){return T.backend}function Mie(r,e){O().setPlatform(r,e)}function Yz(r,e){let t=v(r,"a","add"),o=v(e,"b","add");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(eo,n)}var be=N({add_:Yz});function Qz(r,e){let t=v(r,"a","floorDiv"),o=v(e,"b","floorDiv");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(nn,n)}var Km=N({floorDiv_:Qz});function Zz(r,e){let t=v(r,"a","div"),o=v(e,"b","div");if([t,o]=De(t,o),t.dtype==="int32"&&o.dtype==="int32")return Km(t,o);let n={a:t,b:o},s={};return T.runKernel(Zo,n,s)}var He=N({div_:Zz});function Jz(r,e){let t=v(r,"a","mul"),o=v(e,"b","mul");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(kn,n)}var ne=N({mul_:Jz});function eW(r){let e=v(r,"x","abs");if(e.dtype==="complex64"){let t={x:e};return T.runKernel(hp,t)}else{let t={x:e};return T.runKernel(ys,t)}}var Yt=N({abs_:eW});function tW(r){let t={x:v(r,"x","acos")};return T.runKernel(aa,t)}var G0=N({acos_:tW});function rW(r){let t={x:v(r,"x","acosh")};return T.runKernel(ia,t)}var H0=N({acosh_:rW});function oW(r){$(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),$(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let e=r.map((n,s)=>v(n,`tensors${s}`,"addN")),t=e[0];e.forEach(n=>{if(n.dtype!==t.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(n=>{if(!Or(n.shape,t.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let o=e;return T.runKernel(Po,o)}var K0=N({addN_:oW});function nW(r,e=null,t=!1){let n={x:v(r,"x","all","bool")},s={axis:e,keepDims:t};return T.runKernel(Mo,n,s)}var q0=N({all_:nW});function sW(r,e=null,t=!1){let n={x:v(r,"x","any","bool")},s={axis:e,keepDims:t};return T.runKernel(Lo,n,s)}var j0=N({any_:sW});function aW(r,e=0){let o={x:v(r,"x","argMax")},n={axis:e};return T.runKernel(Bo,o,n)}var X0=N({argMax_:aW});function iW(r,e=0){let o={x:v(r,"x","argMin")},n={axis:e};return T.runKernel(ei,o,n)}var Y0=N({argMin_:iW});function uW(r){let t={x:v(r,"x","asin")};return T.runKernel(ua,t)}var Q0=N({asin_:uW});function pW(r){let t={x:v(r,"x","asinh")};return T.runKernel(pa,t)}var Z0=N({asinh_:pW});function cW(r){let t={x:v(r,"x","atan")};return T.runKernel(ca,t)}var J0=N({atan_:cW});function lW(r,e){let t=v(r,"a","atan2"),o=v(e,"b","atan2");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(ma,n)}var ev=N({atan2_:lW});function mW(r){let t={x:v(r,"x","atanh")};return T.runKernel(la,t)}var tv=N({atanh_:mW});function dW(r,e,t,o,n="NHWC",s){let a=r[3],i=[...e,a],p=ov(n);return au(r,i,t,s,o,null,null,p)}function aC(r,e,t,o,n,s,a="channelsLast"){let[i,p]=Jc(e),u;if(a==="channelsLast")u=[i,p,r[3],r[3]];else if(a==="channelsFirst")u=[i,p,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return au(r,u,t,o,n,s,!1,a)}function fW(r,e,t,o,n,s,a="NDHWC"){let[i,p,u]=sC(e),c,l;if(a==="NDHWC")l="channelsLast",c=[i,p,u,r[4],r[4]];else if(a==="NCDHW")l="channelsFirst",c=[i,p,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return rv(r,c,t,o,n,!1,l,s)}function au(r,e,t,o,n,s,a=!1,i="channelsLast"){let[p,u,c,l]=[-1,-1,-1,-1];if(i==="channelsLast")[p,u,c,l]=r;else if(i==="channelsFirst")[p,l,u,c]=r;else throw new Error(`Unknown dataFormat ${i}`);let[m,d,,f]=e,[h,g]=Jc(t),[x,b]=Jc(o),C=Lp(m,x),w=Lp(d,b),{padInfo:k,outHeight:_,outWidth:E}=xW(n,u,c,h,g,C,w,s,i),A=a?f*l:f,R;return i==="channelsFirst"?R=[p,A,_,E]:i==="channelsLast"&&(R=[p,_,E,A]),{batchSize:p,dataFormat:i,inHeight:u,inWidth:c,inChannels:l,outHeight:_,outWidth:E,outChannels:A,padInfo:k,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:d,effectiveFilterHeight:C,effectiveFilterWidth:w,dilationHeight:x,dilationWidth:b,inShape:r,outShape:R,filterShape:e}}function rv(r,e,t,o,n,s=!1,a="channelsLast",i){let[p,u,c,l,m]=[-1,-1,-1,-1,-1];if(a==="channelsLast")[p,u,c,l,m]=r;else if(a==="channelsFirst")[p,m,u,c,l]=r;else throw new Error(`Unknown dataFormat ${a}`);let[d,f,h,,g]=e,[x,b,C]=sC(t),[w,k,_]=sC(o),E=Lp(d,w),A=Lp(f,k),R=Lp(h,_),{padInfo:D,outDepth:P,outHeight:M,outWidth:L}=yW(n,u,c,l,x,b,C,E,A,R,i),V=s?g*m:g,z;return a==="channelsFirst"?z=[p,V,P,M,L]:a==="channelsLast"&&(z=[p,P,M,L,V]),{batchSize:p,dataFormat:a,inDepth:u,inHeight:c,inWidth:l,inChannels:m,outDepth:P,outHeight:M,outWidth:L,outChannels:V,padInfo:D,strideDepth:x,strideHeight:b,strideWidth:C,filterDepth:d,filterHeight:f,filterWidth:h,effectiveFilterDepth:E,effectiveFilterHeight:A,effectiveFilterWidth:R,dilationDepth:w,dilationHeight:k,dilationWidth:_,inShape:r,outShape:z,filterShape:e}}function hW(r,e,t,o,n){o==null&&(o=iC(r,e,t));let s=r[0],a=r[1],i=el((s-e+2*o)/t+1,n),p=el((a-e+2*o)/t+1,n);return[i,p]}function gW(r,e,t,o,n,s){n==null&&(n=iC(r,e[0],o[0]));let a=[0,0,0,t];for(let i=0;i<3;i++)r[i]+2*n>=e[i]&&(a[i]=el((r[i]-e[i]+2*n)/o[i]+1,s));return a}function iC(r,e,t,o=1){let n=Lp(e,o);return Math.floor((r[0]*(t-1)-t+n)/2)}function Jc(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function sC(r){return typeof r=="number"?[r,r,r]:r}function Lp(r,e){return e<=1?r:r+(r-1)*(e-1)}function xW(r,e,t,o,n,s,a,i,p){let u,c,l;if(typeof r=="number"){u={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let d=hW([e,t],s,o,r,i);c=d[0],l=d[1]}else if(r==="same"){c=Math.ceil(e/o),l=Math.ceil(t/n);let m=Math.max(0,(c-1)*o+s-e),d=Math.max(0,(l-1)*n+a-t),f=Math.floor(m/2),h=m-f,g=Math.floor(d/2),x=d-g;u={top:f,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((e-s+1)/o),l=Math.ceil((t-a+1)/n);else if(typeof r=="object"){let m=p==="channelsLast"?r[1][0]:r[2][0],d=p==="channelsLast"?r[1][1]:r[2][1],f=p==="channelsLast"?r[2][0]:r[3][0],h=p==="channelsLast"?r[2][1]:r[3][1];u={top:m,bottom:d,left:f,right:h,type:m===0&&d===0&&f===0&&h===0?"VALID":"EXPLICIT"},c=el((e-s+m+d)/o+1,i),l=el((t-a+f+h)/n+1,i)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:u,outHeight:c,outWidth:l}}function yW(r,e,t,o,n,s,a,i,p,u,c){let l,m,d,f;if(r==="valid"&&(r=0),typeof r=="number"){l={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=gW([e,t,o,1],[i,p,u],1,[n,s,a],r,c);m=g[0],d=g[1],f=g[2]}else if(r==="same"){m=Math.ceil(e/n),d=Math.ceil(t/s),f=Math.ceil(o/a);let h=(m-1)*n+i-e,g=(d-1)*s+p-t,x=(f-1)*a+u-o,b=Math.floor(h/2),C=h-b,w=Math.floor(g/2),k=g-w,_=Math.floor(x/2),E=x-_;l={top:w,bottom:k,left:_,right:E,front:b,back:C,type:"SAME"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outDepth:m,outHeight:d,outWidth:f}}function el(r,e){if(!e)return Math.trunc(r);switch(e){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${e}`)}}function su(r){let[e,t,o]=Jc(r);return e===1&&t===1&&o===1}function mr(r,e){return su(r)||su(e)}function Vs(r){return Jc(r).every(e=>e>0)}function ov(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function Mt(r,e,t){if(t!=null){if(typeof e=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);if(typeof e=="number")$(sa(e),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);else if(typeof e=="object")e.forEach(o=>{o.forEach(n=>{$(sa(n),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${n}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${e}`)}}function bW(r,e){let o={x:v(r,"x","reshape","string_or_numeric")},n={shape:e};return T.runKernel(_s,o,n)}var W=N({reshape_:bW});function CW(r,e,t,o,n){let s=v(r,"x","avgPool","float32"),a=1;$(mr(t,a),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`);let i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${i.rank}.`),Mt("avgPool",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Vo,u,c);return l=je(l,s.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var qm=N({avgPool_:CW});function SW(r,e,t,o,n,s="NDHWC"){let a=v(r,"x","avgPool3d","float32"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),$(typeof t=="number"&&t>0||Array.isArray(t)&&t[0]>0&&t[1]>0&&t[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${t}'`),Mt("avgPool3d",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(dp,u,c);return l=je(l,i.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var nv=N({avgPool3d_:SW});function wW(r,e=0){$(r.length>=1,()=>"Pass at least one tensor to concat");let t=_a(r,"tensors","concat","string_or_numeric");if(t[0].dtype==="complex64"&&t.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor - with dtype ${s.dtype}. `)}),t.length===1)return Lr(t[0]);let o=t,n={axis:e};return T.runKernel(Cs,o,n)}var xt=N({concat_:wW});function IW(r,e,t=!1,o=!1){let n=v(r,"a","matMul"),s=v(e,"b","matMul");[n,s]=De(n,s);let a={a:n,b:s},i={transposeA:t,transposeB:o};return T.runKernel(zo,a,i)}var Xe=N({matMul_:IW});function vW(r){let t={x:v(r,"x","sigmoid","float32")};return T.runKernel(Gn,t)}var Ws=N({sigmoid_:vW});function kW(r,e,t){let o=v(r,"x","slice","string_or_numeric");if(o.rank===0)throw new Error("Slicing scalar is not possible");let n={x:o},s={begin:e,size:t};return T.runKernel(Es,n,s)}var Ke=N({slice_:kW});function NW(r){let t={x:v(r,"x","tanh","float32")};return T.runKernel(Zn,t)}var tl=N({tanh_:NW});function TW(r,e,t,o,n,s){let a=v(r,"forgetBias","basicLSTMCell"),i=v(e,"lstmKernel","basicLSTMCell"),p=v(t,"lstmBias","basicLSTMCell"),u=v(o,"data","basicLSTMCell"),c=v(n,"c","basicLSTMCell"),l=v(s,"h","basicLSTMCell"),m=xt([u,l],1),d=Xe(m,i),f=be(d,p),h=f.shape[0],g=f.shape[1]/4,x=[h,g],b=Ke(f,[0,0],x),C=Ke(f,[0,g],x),w=Ke(f,[0,g*2],x),k=Ke(f,[0,g*3],x),_=be(ne(Ws(b),tl(C)),ne(c,Ws(be(a,w)))),E=ne(tl(_),Ws(k));return[_,E]}var sv=N({basicLSTMCell_:TW});function _W(r,e,t){let o=v(r,"x","batchToSpaceND"),n=e.reduce((i,p)=>i*p);$(o.rank>=1+e.length,()=>`input rank is ${o.rank} but should be > than blockShape.length ${e.length}`),$(t.length===e.length,()=>`crops.length is ${t.length} but should be equal to blockShape.length ${e.length}`),$(o.shape[0]%n===0,()=>`input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(" * ")} === ${n}`);let s={x:o},a={blockShape:e,crops:t};return T.runKernel(bs,s,a)}var jm=N({batchToSpaceND_:_W});function av(r){let e;return r.rank===0||r.rank===1?e=W(r,[1,1,1,r.size]):r.rank===2?e=W(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?e=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]):e=r,e}function $W(r,e,t,o,n,s){s==null&&(s=.001);let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;o!=null&&(c=v(o,"offset","batchNorm")),$(i.rank===p.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:av(a),scale:u,offset:c,mean:i,variance:p},d={varianceEpsilon:s},f=T.runKernel(sn,m,d);return W(f,a.shape)}var _i=N({batchNorm_:$W});function EW(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`),$(i.rank===2||i.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`),$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var iv=N({batchNorm2d_:EW});function AW(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`),$(i.rank===3||i.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`),$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var uv=N({batchNorm3d_:AW});function RW(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),$(i.rank===4||i.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`),$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),_i(a,i,p,c,u,s)}var pv=N({batchNorm4d_:RW});function DW(r,e,t){let o=v(r,"x","bincount"),n=v(e,"weights","bincount");$(o.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${o.dtype}`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(n.size===o.size||n.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${o.shape}, weights shape: ${n.shape}.`);let s={x:o,weights:n},a={size:t};return T.runKernel(ti,s,a)}var Xm=N({bincount_:DW});function FW(r,e){let t=v(r,"s0","broadcastArgs","int32"),o=v(e,"s1","broadcastArgs","int32");if(t.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${t.rank}`);if(o.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${o.rank}`);let n={s0:t,s1:o};return T.runKernel(fp,n)}var cv=N({broadcastArgs_:FW});function OW(r,e){let t=v(r,"broadcastTo","x"),o=t.shape;if(bt(e),e.lengtht.rank){let u=t.shape.slice();for(;u.length=0;u--)if(n[u]===e[u])s[u]=1;else if(t.shape[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${e}].`);if(s.map((u,c)=>u>1?c:-1).filter(u=>u>=0).length===0)return Lr(t);let i={x:t},p={reps:s};return T.runKernel(to,i,p)}var $i=N({broadcastTo_:OW});function PW(r){let t={x:v(r,"x","ceil","float32")};return T.runKernel(Wo,t)}var lv=N({ceil_:PW});function Us(r,e,t){bt(r);let o={shape:r,value:e,dtype:t};return T.runKernel(ws,{},o)}function MW(r,e,t){let o=v(r,"x","clipByValue");if($(e<=t,()=>`Error in clip: min (${e}) must be less than or equal to max (${t}).`),e===t)return Us(o.shape,e,o.dtype);let n={x:o},s={clipValueMin:e,clipValueMax:t};return T.runKernel(lo,n,s)}var mv=N({clipByValue_:MW});function LW(r){return xt(r,0)}var dv=N({concat1d_:LW});function BW(r,e){return xt(r,e)}var fv=N({concat2d_:BW});function VW(r,e){return xt(r,e)}var hv=N({concat3d_:VW});function zW(r,e){return xt(r,e)}var gv=N({concat4d_:zW});function WW(r,e,t,o,n="NHWC",s=[1,1],a){let i=v(r,"x","conv2d","float32"),p=v(e,"filter","conv2d","float32"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`),Mt("conv2d",o,a);let l=n==="NHWC"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`),$(mr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(Vs(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),$(Vs(t),()=>"Error in conv2D: Strides should be larger than 0.");let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(Uo,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ei=N({conv2d_:WW});function UW(r,e,t,o,n="NWC",s=1,a){let i=v(r,"x","conv1d"),p=v(e,"filter","conv1d"),u=i,c=!1;i.rank===2&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(p.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`),Mt("conv1d",o,a),$(u.shape[2]===p.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`),$(mr(t,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${t} and dilation '${s}'`),$(Vs(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),$(Vs(t),()=>"Error in conv1D: Stride should be larger than 0."),$(n==="NWC",()=>`Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`);let l=W(p,[1,p.shape[0],p.shape[1],p.shape[2]]),m=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),g=Ei(m,l,[1,t],o,"NHWC",[1,s],a);return c?W(g,[g.shape[2],g.shape[3]]):W(g,[g.shape[0],g.shape[2],g.shape[3]])}var xv=N({conv1d_:UW});function GW(r,e,t,o,n,s="NHWC",a){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let i=r,p=e,u=!1;e.rank===3&&(u=!0,p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]),i=[1,r[0],r[1],r[2]]),$(i.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`),$(p.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${p.rank}`),$(t.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${t.rank}`);let c=s==="NHWC"?i[3]:i[1],l=s==="NHWC"?p.shape[3]:p.shape[1];$(c===t.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t.shape[2]}.`),$(l===t.shape[3],()=>`Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t.shape[3]}.`),Mt("conv2dDerInput",n,a);let m={dy:p,filter:t},d={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,inputShape:i},f=T.runKernel(Go,m,d);return u?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ym=N({conv2DBackpropInput_:GW});function HW(r,e,t,o,n,s){let a=v(r,"x","conv2dTranspose"),i=v(e,"filter","conv2dTranspose");return Ym(t,a,i,o,n,"NHWC",s)}var yv=N({conv2dTranspose_:HW});function KW(r,e,t,o,n="NDHWC",s=[1,1,1]){let a=v(r,"x","conv3d"),i=v(e,"filter","conv3d"),p=a,u=!1;a.rank===4&&(u=!0,p=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(p.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${p.rank}.`),$(i.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`),$(p.shape[4]===i.shape[3],()=>`Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`),$(mr(t,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(n==="NDHWC",()=>`Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`),$(Vs(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),$(Vs(t),()=>"Error in conv3D: Strides should be larger than 0.");let c={x:p,filter:i},l={strides:t,pad:o,dataFormat:n,dilations:s},m=T.runKernel(gp,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var bv=N({conv3d_:KW});function qW(r,e,t,o,n){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let s=r,a=e,i=!1;e.rank===4&&(i=!0,a=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let p=s[4],u=a.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(a.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${a.rank}`),$(t.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${t.rank}`),$(p===t.shape[3],()=>`Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${t.shape[3]}.`),$(u===t.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t.shape[4]}.`);let c={dy:a,filter:t},l={pad:n,strides:o,inputShape:s},m=T.runKernel(xp,c,l);return i?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Cv=N({conv3DBackpropInput_:qW});function jW(r,e,t,o,n){let s=v(r,"x","conv3dTranspose"),a=v(e,"filter","conv3dTranspose");return Cv(t,s,a,o,n)}var Sv=N({conv3dTranspose_:jW});function XW(r){let t={x:v(r,"x","cos","float32")};return T.runKernel(Ho,t)}var wv=N({cos_:XW});function YW(r){let t={x:v(r,"x","cosh","float32")};return T.runKernel(Ko,t)}var Iv=N({cosh_:YW});function QW(r,e=0,t=!1,o=!1){let s={x:v(r,"x","cumprod")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(qo,s,a)}var vv=N({cumprod_:QW});function ZW(r,e=0,t=!1,o=!1){let s={x:v(r,"x","cumsum")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(jo,s,a)}var kv=N({cumsum_:ZW});function JW(r,e,t,o=!1){let n=v(r,"x","denseBincount"),s=v(e,"weights","denseBincount");$(n.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${n.dtype}`),$(n.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${n.rank}.`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(s.size===n.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${n.shape}, weights shape: ${s.shape}.`);let a={x:n,weights:s},i={size:t,binaryOutput:o};return T.runKernel(ni,a,i)}var Nv=N({denseBincount_:JW});function eU(r,e,t="NHWC"){let o=v(r,"x","depthToSpace","float32"),n=t==="NHWC"?o.shape[1]:o.shape[2],s=t==="NHWC"?o.shape[2]:o.shape[3],a=t==="NHWC"?o.shape[3]:o.shape[1];$(e>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${e}`),$(n*e>=0,()=>`Negative dimension size caused by overflow when multiplying +`;return m[m.length-1]=" "+m[m.length-1]+"]"+(s?"":f),m}function yl(r){let e=[];for(let t=0;t`Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=o||Hm(t,this.size),this.strides=Us(e)}set(e,...t){t.length===0&&(t=[0]),$(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let o=this.locToIndex(t);this.values[o]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let n of e){if(n<0||n>=this.shape[t]){let s=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(s)}t++}let o=e[e.length-1];for(let n=0;nJp(o))}catch(o){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Rs().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Rs().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Jp(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Rs().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Rs().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return ec.print(this,e)}clone(){return this.throwIfDisposed(),ec.clone(this)}toString(e=!1){let t=this.dataSync();return R0(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),ec.cast(this,e)}variable(e=!0,t,o){return this.throwIfDisposed(),Rs().makeVariable(this,e,t,o)}};Object.defineProperty(pt,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function kG(){return ll("Tensor",()=>pt)}kG();var Qa=class extends pt{constructor(e,t,o,n){super(e.shape,e.dtype,e.dataId,n),this.trainable=t,this.name=o}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!br(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Rs().disposeTensor(this),this.dataId=e.dataId,Rs().incRef(this,null)}dispose(){Rs().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Qa,Symbol.hasInstance,{value:r=>r instanceof pt&&r.assign!=null&&r.assign instanceof Function});var M0={};He(M0,{assertTypesMatch:()=>nw,getTensorsInContainer:()=>bl,isTensorInList:()=>TG,makeTypesMatch:()=>Oe});var JC;(function(r){r.R0="R0",r.R1="R1",r.R2="R2",r.R3="R3",r.R4="R4",r.R5="R5",r.R6="R6"})(JC||(JC={}));var ew;(function(r){r.float32="float32",r.int32="int32",r.bool="int32",r.complex64="complex64"})(ew||(ew={}));var tw;(function(r){r.float32="float32",r.int32="int32",r.bool="bool",r.complex64="complex64"})(tw||(tw={}));var rw;(function(r){r.float32="float32",r.int32="float32",r.bool="float32",r.complex64="complex64"})(rw||(rw={}));var ow;(function(r){r.float32="complex64",r.int32="complex64",r.bool="complex64",r.complex64="complex64"})(ow||(ow={}));var NG={float32:rw,int32:ew,bool:tw,complex64:ow};function dt(r,e){if(r==="string"||e==="string"){if(r==="string"&&e==="string")return"string";throw new Error(`Can not upcast ${r} with ${e}`)}return NG[r][e]}function Za(r){return dt(r,"int32")}function Zm(r){return r!=null&&typeof r=="object"&&"texture"in r&&r.texture instanceof WebGLTexture}function Jm(r){return typeof GPUBuffer!="undefined"&&r!=null&&typeof r=="object"&&"buffer"in r&&r.buffer instanceof GPUBuffer}function Oe(r,e){if(r.dtype===e.dtype)return[r,e];let t=dt(r.dtype,e.dtype);return[r.cast(t),e.cast(t)]}function nw(r,e){$(r.dtype===e.dtype,()=>`The dtypes of the first(${r.dtype}) and second(${e.dtype}) input must match`)}function TG(r,e){return e.some(t=>t.id===r.id)}function bl(r){let e=[];return O0(r,e,new Set),e}function O0(r,e,t){if(r==null)return;if(r instanceof pt){e.push(r);return}if(!_G(r))return;let o=r;for(let n in o){let s=o[n];t.has(s)||(t.add(s),O0(s,e,t))}}function _G(r){return Array.isArray(r)||typeof r=="object"}function sw(r){return r.kernelName!=null}var ed=class{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(let e in this.registeredVariables)this.registeredVariables[e].dispose()}},Qi=class{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ed}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;let e=this.getSortedBackends();for(let t=0;t{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){Km(e).forEach(o=>{o.disposeFunc!=null&&o.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let o=t.factory();if(o&&!(o instanceof ro)&&typeof o.then=="function"){let n=++this.pendingBackendInitId,s=o.then(a=>n(nthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;tthis.startScope(o),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,o){e();try{let n=o();return t(),n}catch(n){throw t(),n}}nextTensorId(){return Qi.nextTensorId++}nextVariableId(){return Qi.nextVariableId++}clone(e){let t=T.runKernel(xo,{x:e}),o={x:e},n=a=>({x:()=>{let i="float32",p={x:a},u={dtype:i};return T.runKernel(ho,p,u)}}),s=[];return this.addTapeNode(this.state.activeScope.name,o,[t],n,s,{}),t}runKernel(e,t,o){if(this.backendName==null&&this.backend,!(fl(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:o})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,o){let n=this.backend.numDataIds(),s=0;o.forEach(p=>{s+=p.dtype==="complex64"?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,o=[],n=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let p,u=sw(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(sw(e)){let{kernelName:f,inputs:h,attrs:g}=e;this.backendName==null&&this.backend;let x=fl(f,this.backendName);$(x!=null,()=>`Cannot find registered kernel '${f}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();p=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(p)?p:[p];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(f,b,w);let S=w.map(k=>k.rank!=null?k:this.makeTensorFromTensorInfo(k));if(n){let k=this.getTensorsForGradient(f,h,S);o=this.saveTensorsForBackwardMode(k)}return S}}else{let{forwardFunc:f}=e,h=g=>{n&&(o=g.map(x=>this.keep(this.clone(x))))};i=()=>{let g=this.backend.numDataIds();p=this.tidy(()=>f(this.backend,h));let x=Array.isArray(p)?p:[p];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(u,g,x),x}}let{inputs:c,attrs:l}=e,m=sw(e)?null:e.backwardsFunc,d;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(d=this.profiler.profileKernel(u,c,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(d),t=d.outputs)}),n&&this.addTapeNode(u,c,t,m,o,l),this.state.profiling&&this.state.activeProfile.kernels.push({name:u,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(f=>c[f]!=null?c[f].shape:null),outputShapes:t.map(f=>f.shape),kernelTimeMs:d.timeMs,extraInfo:d.extraInfo}),Array.isArray(p)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(o=>this.keep(this.clone(o)))}getTensorsForGradient(e,t,o){let n=HC(e);if(n!=null){let s=n.inputsToSave||[],a=n.outputsToSave||[],i;n.saveAllInputs?($(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(u=>t[u])):i=s.map(u=>t[u]);let p=o.filter((u,c)=>a[c]);return i.concat(p)}return[]}makeTensor(e,t,o,n){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");o=o||"float32",n=n||this.backend;let s=e;o==="string"&&Bo(e[0])&&(s=e.map(p=>Yi(p)));let a=n.write(s,t,o),i=new pt(t,o,a,this.nextTensorId());if(this.trackTensor(i,n),o==="string"){let p=this.state.tensorInfo.get(a),u=VC(s);this.state.numBytes+=u-p.bytes,p.bytes=u}return i}makeTensorFromDataId(e,t,o,n){o=o||"float32";let s={dataId:e,shape:t,dtype:o};return this.makeTensorFromTensorInfo(s,n)}makeTensorFromTensorInfo(e,t){let{dataId:o,shape:n,dtype:s}=e,a=new pt(n,s,o,this.nextTensorId());return this.trackTensor(a,t),a}makeVariable(e,t=!0,o,n){o=o||this.nextVariableId().toString(),n!=null&&n!==e.dtype&&(e=e.cast(n));let s=new Qa(e,t,o,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}trackTensor(e,t){this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++;let o=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(o=e.size*Vp(e.dtype)),this.state.numBytes+=o,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o})),e instanceof Qa||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;let t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,e.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),e.dtype!=="complex64"&&e.dtype!=="string"){let o=e.size*Vp(e.dtype);this.state.numBytes-=o}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,o=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(n=>n.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-o;for(let n of this.state.activeProfile.kernels)n.kernelTimeMs=await n.kernelTimeMs,n.extraInfo=await n.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(e,t,o,n,s,a){let i={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:o,saved:s},p=HC(e);p!=null&&(n=p.gradFunc),n!=null&&(i.gradient=u=>(u=u.map((c,l)=>{if(c==null){let m=o[l],d=Up(m.size,m.dtype);return this.makeTensor(d,m.shape,m.dtype)}return c}),n(u.length>1?u:u[0],s,a))),this.state.activeTape.push(i)}keep(e){return e.kept=!0,e}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){let t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){let t=bl(e),o=new Set(t.map(s=>s.id));for(let s=0;s{!s.kept&&s.scopeId===n.id&&this.track(s)})}gradients(e,t,o,n=!1){if($(t.length>0,()=>"gradients() received an empty list of xs."),o!=null&&o.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${o.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));$(s instanceof pt,()=>"The result y returned by f() must be a tensor.");let a=_0(this.state.activeTape,t,s);if(!n&&a.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{let i={};i[s.id]=o==null?$G(s.shape):o,$0(i,a,u=>this.tidy(u),EG);let p=t.map(u=>i[u.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(u=>{for(let c of u.saved)c.dispose()}),this.state.activeTape=null),{value:s,grads:p}})}customGrad(e){return $(Ws(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{$(t.every(i=>i instanceof pt),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let o,n={};t.forEach((i,p)=>{n[p]=i});let s=(i,p)=>(o=e(...t,p),$(o.value instanceof pt,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),$(Ws(o.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),o.value),a=(i,p)=>{let u=o.gradFunc(i,p),c=Array.isArray(u)?u:[u];$(c.length===t.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),$(c.every(m=>m instanceof pt),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");let l={};return c.forEach((m,d)=>{l[d]=()=>m}),l};return this.runKernelFunc({forwardFunc:s,backwardsFunc:a,inputs:n})}}readSync(e){return this.state.tensorInfo.get(e).backend.readSync(e)}read(e){return this.state.tensorInfo.get(e).backend.read(e)}readToGPU(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}async time(e){let t=Fu(),o=await this.backend.time(e);return o.wallMs=Fu()-t,o}track(e){return this.state.activeScope!=null&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new ed;for(let e in this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}};Qi.nextTensorId=0;Qi.nextVariableId=0;function $G(r){let e=pl(Ue(r),"float32");return T.makeTensor(e,r,"float32")}function aw(){let r=GC();if(r._tfengine==null){let e=new cl(r);r._tfengine=new Qi(e)}return l0(r._tfengine.ENV),A0(()=>r._tfengine),r._tfengine}var T=aw();function EG(r,e){let t={a:r,b:e};return T.runKernel(no,t)}var Zi={};He(Zi,{isBrowser:()=>uw,isMobile:()=>AG,mockIsMobile:()=>DG});function RG(){return typeof navigator!="undefined"&&navigator!=null}var iw;function DG(r){iw=r}function AG(r){if(iw!==void 0)return iw;if(r||RG()){if(r||(r=navigator),r.product==="ReactNative")return!0;let e=r.userAgent||r.vendor||(typeof window!="undefined"?window.opera:"");if(!e){let t=r;return t.userAgentData&&t.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(e.substr(0,4))}return!1}function uw(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var _r=P();_r.registerFlag("DEBUG",()=>!1,r=>{r&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});_r.registerFlag("IS_BROWSER",()=>uw());_r.registerFlag("IS_NODE",()=>typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined");_r.registerFlag("IS_CHROME",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor));_r.registerFlag("IS_SAFARI",()=>typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Safari/.test(navigator.userAgent)&&/Apple/.test(navigator.vendor));_r.registerFlag("PROD",()=>!1);_r.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",()=>_r.getBool("DEBUG"));_r.registerFlag("DEPRECATION_WARNINGS_ENABLED",()=>!0);_r.registerFlag("IS_TEST",()=>!1);_r.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",()=>_r.getBool("DEBUG"));_r.registerFlag("WRAP_TO_IMAGEBITMAP",()=>!1);_r.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",()=>!1);_r.registerFlag("USE_SETTIMEOUTCUSTOM",()=>!1);function ar(r,e){let t=r;if(Pt(r))return e==="string"?[]:[r.length];if(Zm(r)){let n=r.channels||"RGBA";return[r.height,r.width*n.length]}else if(Jm(r))return[r.buffer.size/(e==null?4:Vp(e))];if(!Array.isArray(r))return[];let o=[];for(;Array.isArray(t)||Pt(t)&&e!=="string";)o.push(t.length),t=t[0];return Array.isArray(r)&&P().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&B0(r,o,[]),o}function B0(r,e,t){if(t=t||[],!Array.isArray(r)&&!Pt(r)){$(e.length===0,()=>`Element arr[${t.join("][")}] is a primitive, but should be an array/TypedArray of ${e[0]} elements`);return}$(e.length>0,()=>`Element arr[${t.join("][")}] should be a primitive, but is an array of ${r.length} elements`),$(r.length===e[0],()=>`Element arr[${t.join("][")}] should have ${e[0]} elements, but has ${r.length} elements`);let o=e.slice(1);for(let n=0;n=0&&(n=o),L0(o,n,e,t),r==null||!Pt(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string"){let p=r==null?"null":r.constructor.name;throw new Error(`Argument '${e}' passed to '${t}' must be a Tensor or TensorLike, but got '${p}'`)}let s=ar(r,n);!Pt(r)&&!Array.isArray(r)&&(r=[r]);let i=n!=="string"?Zp(r,n):Es(r,[],!0);return T.makeTensor(i,s,n)}function Ja(r,e,t,o="numeric"){if(!Array.isArray(r))throw new Error(`Argument ${e} passed to ${t} must be a \`Tensor[]\` or \`TensorLike[]\``);return r.map((s,a)=>v(s,`${e}[${a}]`,t,o))}var pw="__op";function N(r){let e=Object.keys(r);if(e.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${e.length} keys.`);let t=e[0],o=r[t];t.endsWith("_")&&(t=t.substring(0,t.length-1)),t=t+pw;let n=(...s)=>{T.startScope(t);try{let a=o(...s);return Tu(a)&&console.error("Cannot return a Promise inside of tidy."),T.endScope(a),a}catch(a){throw T.endScope(null),a}};return Object.defineProperty(n,"name",{value:t,configurable:!0}),n}function FG(r,e){let t=v(r,"real","complex"),o=v(e,"imag","complex");xt(t.shape,o.shape,`real and imag shapes, ${t.shape} and ${o.shape}, must match in call to tf.complex().`);let n={real:t,imag:o};return T.runKernel(Ti,n)}var $r=N({complex_:FG});function wr(r,e,t,o){if(o==null)o=ki(r);else if(o==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(Jm(r)||Zm(r)){if(o!=="float32"&&o!=="int32")throw new Error(`Creating tensor from GPU data only supports 'float32'|'int32' dtype, while the dtype is ${o}.`);return T.backend.createTensorFromGPUData(r,e||t,o)}if(!Pt(r)&&!Array.isArray(r)&&typeof r!="number"&&typeof r!="boolean"&&typeof r!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(e!=null){Ct(e);let n=Ue(e),s=Ue(t);$(n===s,()=>`Based on the provided shape, [${e}], the tensor should have ${n} values but has ${s}`);for(let a=0;a`Error creating a new Tensor. Inferred shape (${t}) does not match the provided shape (${e}). `)}}return!Pt(r)&&!Array.isArray(r)&&(r=[r]),e=e||t,r=o!=="string"?Zp(r,o):Es(r,[],!0),T.makeTensor(r,e,o)}function ir(r,e,t){let o=ar(r,t);return wr(r,e,o,t)}var Cl={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var td=4;async function V0(r,e){let t=[],o=[],n=Array.isArray(r)?r.map(a=>a.name):Object.keys(r);for(let a=0;a{let m=await p.bytes(),d=m.reduce((g,x)=>g+x.length,0)+td*m.length,f=new Uint8Array(d),h=0;for(let g=0;g{if(e+=s.byteLength,t.push(s.byteLength===s.buffer.byteLength?s:new s.constructor(s)),!(s instanceof Float32Array||s instanceof Int32Array||s instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${s.constructor.name}`)});let o=new Uint8Array(e),n=0;return t.forEach(s=>{o.set(new Uint8Array(s.buffer),n),n+=s.byteLength}),o.buffer}var cw=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function z0(r){return cw?Buffer.byteLength(r):new Blob([r]).size}function W0(r){if(cw)return Buffer.from(r).toString("base64");let e=new Uint8Array(r),t="";for(let o=0,n=e.length;o{e+=n.byteLength});let t=new Uint8Array(e),o=0;return r.forEach(n=>{t.set(new Uint8Array(n),o),o+=n.byteLength}),t.buffer}function lw(r){let e="/";for(r=r.trim();r.endsWith(e);)r=r.slice(0,r.length-1);let t=r.split(e);return t[t.length-1]}function od(r,e){let t={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy,weightsManifest:e};return r.signature!=null&&(t.signature=r.signature),r.userDefinedMetadata!=null&&(t.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(t.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(t.initializerSignature=r.initializerSignature),r.trainingConfig!=null&&(t.trainingConfig=r.trainingConfig),t}function mw(r,e,t){let o={modelTopology:r.modelTopology,format:r.format,generatedBy:r.generatedBy,convertedBy:r.convertedBy};if(r.trainingConfig!=null&&(o.trainingConfig=r.trainingConfig),r.weightsManifest!=null){if(!e)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!t)throw new Error("modelJSON has weightsManifest but weightData is null");o.weightSpecs=e,o.weightData=t}return r.signature!=null&&(o.signature=r.signature),r.userDefinedMetadata!=null&&(o.userDefinedMetadata=r.userDefinedMetadata),r.modelInitializer!=null&&(o.modelInitializer=r.modelInitializer),r.initializerSignature!=null&&(o.initializerSignature=r.initializerSignature),o}async function rc(r,e){let t,o;return r.weightsManifest!=null&&([t,o]=await e(r.weightsManifest)),mw(r,t,o)}function ga(r){if(r.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:r.modelTopology==null?0:z0(JSON.stringify(r.modelTopology)),weightSpecsBytes:r.weightSpecs==null?0:z0(JSON.stringify(r.weightSpecs)),weightDataBytes:r.weightData==null?0:r.weightData.byteLength}}function nd(r){let e=[];for(let t of r)e.push(...t.weights);return e}function OG(){let r=t=>{let o=t<<13,n=0;for(;!(o&8388608);)n-=8388608,o<<=1;return o&=-8388609,n+=947912704,o|n},e=new Uint32Array(2048);e[0]=0;for(let t=1;t<1024;t++)e[t]=r(t);for(let t=1024;t<2048;t++)e[t]=939524096+(t-1024<<13);return e}function MG(){let r=new Uint32Array(64);r[0]=0,r[31]=1199570944,r[32]=2147483648,r[63]=3347054592;for(let e=1;e<31;e++)r[e]=e<<23;for(let e=33;e<63;e++)r[e]=2147483648+(e-32<<23);return r}function LG(){let r=new Uint32Array(64);for(let e=0;e<64;e++)r[e]=1024;return r[0]=r[32]=0,r}function BG(){let r=OG(),e=MG(),t=LG();return o=>{let n=new ArrayBuffer(4*o.length),s=new Uint32Array(n);for(let a=0;a>10]+(i&1023)]+e[i>>10];s[a]=p}return new Float32Array(n)}}var ft=class{constructor(){this.saveRouters=[],this.loadRouters=[]}static getInstance(){return ft.instance==null&&(ft.instance=new ft),ft.instance}static registerSaveRouter(e){ft.getInstance().saveRouters.push(e)}static registerLoadRouter(e){ft.getInstance().loadRouters.push(e)}static getSaveHandlers(e){return ft.getHandlers(e,"save")}static getLoadHandlers(e,t){return ft.getHandlers(e,"load",t)}static getHandlers(e,t,o){let n=[];return(t==="load"?ft.getInstance().loadRouters:ft.getInstance().saveRouters).forEach(a=>{let i=a(e,o);i!==null&&n.push(i)}),n}},G0=r=>ft.registerSaveRouter(r),H0=r=>ft.registerLoadRouter(r),K0=r=>ft.getSaveHandlers(r),q0=(r,e)=>ft.getLoadHandlers(r,e);var dw="tensorflowjs",fw=1,Pu="models_store",Ji="model_info_store";function j0(){if(!P().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");let r=typeof window=="undefined"?self:window,e=r.indexedDB||r.mozIndexedDB||r.webkitIndexedDB||r.msIndexedDB||r.shimIndexedDB;if(e==null)throw new Error("The current browser does not appear to support IndexedDB.");return e}function hw(r){let e=r.result;e.createObjectStore(Pu,{keyPath:"modelPath"}),e.createObjectStore(Ji,{keyPath:"modelPath"})}var xa=class{constructor(e){if(this.indexedDB=j0(),e==null||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,e)}async load(){return this.databaseAction(this.modelPath)}databaseAction(e,t){return new Promise((o,n)=>{let s=this.indexedDB.open(dw,fw);s.onupgradeneeded=()=>hw(s),s.onsuccess=()=>{let a=s.result;if(t==null){let i=a.transaction(Pu,"readonly"),u=i.objectStore(Pu).get(this.modelPath);u.onsuccess=()=>{if(u.result==null)return a.close(),n(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));o(u.result.modelArtifacts)},u.onerror=c=>(a.close(),n(u.error)),i.oncomplete=()=>a.close()}else{let i=ga(t),p=a.transaction(Ji,"readwrite"),u=p.objectStore(Ji),c;try{c=u.put({modelPath:this.modelPath,modelArtifactsInfo:i})}catch(m){return n(m)}let l;c.onsuccess=()=>{l=a.transaction(Pu,"readwrite");let m=l.objectStore(Pu),d;try{d=m.put({modelPath:this.modelPath,modelArtifacts:t,modelArtifactsInfo:i})}catch(f){return n(f)}d.onsuccess=()=>o({modelArtifactsInfo:i}),d.onerror=f=>{u=p.objectStore(Ji);let h=u.delete(this.modelPath);h.onsuccess=()=>(a.close(),n(d.error)),h.onerror=g=>(a.close(),n(d.error))}},c.onerror=m=>(a.close(),n(c.error)),p.oncomplete=()=>{l==null?a.close():l.oncomplete=()=>a.close()}}},s.onerror=a=>n(s.error)})}};xa.URL_SCHEME="indexeddb://";var X0=r=>P().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(xa.URL_SCHEME)?zG(r.slice(xa.URL_SCHEME.length)):null;ft.registerSaveRouter(X0);ft.registerLoadRouter(X0);function zG(r){return new xa(r)}function VG(r){return r.startsWith(xa.URL_SCHEME)?r.slice(xa.URL_SCHEME.length):r}var sd=class{constructor(){this.indexedDB=j0()}async listModels(){return new Promise((e,t)=>{let o=this.indexedDB.open(dw,fw);o.onupgradeneeded=()=>hw(o),o.onsuccess=()=>{let n=o.result,s=n.transaction(Ji,"readonly"),i=s.objectStore(Ji).getAll();i.onsuccess=()=>{let p={};for(let u of i.result)p[u.modelPath]=u.modelArtifactsInfo;e(p)},i.onerror=p=>(n.close(),t(i.error)),s.oncomplete=()=>n.close()},o.onerror=n=>t(o.error)})}async removeModel(e){return e=VG(e),new Promise((t,o)=>{let n=this.indexedDB.open(dw,fw);n.onupgradeneeded=()=>hw(n),n.onsuccess=()=>{let s=n.result,a=s.transaction(Ji,"readwrite"),i=a.objectStore(Ji),p=i.get(e),u;p.onsuccess=()=>{if(p.result==null)return s.close(),o(new Error(`Cannot find model with path '${e}' in IndexedDB.`));{let c=i.delete(e),l=()=>{u=s.transaction(Pu,"readwrite");let d=u.objectStore(Pu).delete(e);d.onsuccess=()=>t(p.result.modelArtifactsInfo),d.onerror=f=>o(p.error)};c.onsuccess=l,c.onerror=m=>(l(),s.close(),o(p.error))}},p.onerror=c=>(s.close(),o(p.error)),a.oncomplete=()=>{u==null?s.close():u.oncomplete=()=>s.close()}},n.onerror=s=>o(n.error)})}};var ei="/",oc="tensorflowjs_models",Y0="info",WG="model_topology",UG="weight_specs",GG="weight_data",HG="model_metadata";function Q0(r){return{info:[oc,r,Y0].join(ei),topology:[oc,r,WG].join(ei),weightSpecs:[oc,r,UG].join(ei),weightData:[oc,r,GG].join(ei),modelMetadata:[oc,r,HG].join(ei)}}function Z0(r){for(let e of Object.values(r))window.localStorage.removeItem(e)}function KG(r){let e=r.split(ei);if(e.length<3)throw new Error(`Invalid key format: ${r}`);return e.slice(1,e.length-1).join(ei)}function qG(r){return r.startsWith(ya.URL_SCHEME)?r.slice(ya.URL_SCHEME.length):r}var ya=class{constructor(e){if(!P().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,e==null||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=Q0(this.modelPath)}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{let t=JSON.stringify(e.modelTopology),o=JSON.stringify(e.weightSpecs),n=ga(e);try{this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,o),this.LS.setItem(this.keys.weightData,W0(e.weightData));let s={format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,signature:e.signature!=null?e.signature:void 0,userDefinedMetadata:e.userDefinedMetadata!=null?e.userDefinedMetadata:void 0,modelInitializer:e.modelInitializer!=null?e.modelInitializer:void 0,initializerSignature:e.initializerSignature!=null?e.initializerSignature:void 0,trainingConfig:e.trainingConfig!=null?e.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(s)),{modelArtifactsInfo:n}}catch(s){throw Z0(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${n.modelTopologyBytes}, weightSpecsBytes=${n.weightSpecsBytes}, weightDataBytes=${n.weightDataBytes}.`)}}}async load(){let e=JSON.parse(this.LS.getItem(this.keys.info));if(e==null)throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);if(e.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");let t={},o=JSON.parse(this.LS.getItem(this.keys.topology));if(o==null)throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);t.modelTopology=o;let n=JSON.parse(this.LS.getItem(this.keys.weightSpecs));if(n==null)throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);t.weightSpecs=n;let s=this.LS.getItem(this.keys.modelMetadata);if(s!=null){let i=JSON.parse(s);t.format=i.format,t.generatedBy=i.generatedBy,t.convertedBy=i.convertedBy,i.signature!=null&&(t.signature=i.signature),i.userDefinedMetadata!=null&&(t.userDefinedMetadata=i.userDefinedMetadata),i.modelInitializer!=null&&(t.modelInitializer=i.modelInitializer),i.initializerSignature!=null&&(t.initializerSignature=i.initializerSignature),i.trainingConfig!=null&&(t.trainingConfig=i.trainingConfig)}let a=this.LS.getItem(this.keys.weightData);if(a==null)throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);return t.weightData=U0(a),t}};ya.URL_SCHEME="localstorage://";var J0=r=>P().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(ya.URL_SCHEME)?jG(r.slice(ya.URL_SCHEME.length)):null;ft.registerSaveRouter(J0);ft.registerLoadRouter(J0);function jG(r){return new ya(r)}var ad=class{constructor(){$(P().getBool("IS_BROWSER"),()=>"Current environment is not a web browser"),$(typeof window=="undefined"||typeof window.localStorage!="undefined",()=>"Current browser does not appear to support localStorage"),this.LS=window.localStorage}async listModels(){let e={},t=oc+ei,o=ei+Y0;for(let n=0;n"scheme must not be undefined or null."),e.endsWith(nc)&&(e=e.slice(0,e.indexOf(nc))),$(e.length>0,()=>"scheme must not be an empty string.");let o=Qt.getInstance();$(o.managers[e]==null,()=>`A model store manager is already registered for scheme '${e}'.`),o.managers[e]=t}static getManager(e){let t=Qt.getInstance().managers[e];if(t==null)throw new Error(`Cannot find model manager for scheme '${e}'`);return t}static getSchemes(){return Object.keys(Qt.getInstance().managers)}};function id(r){if(r.indexOf(nc)===-1)throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${Qt.getSchemes().join(",")}`);return{scheme:r.split(nc)[0],path:r.split(nc)[1]}}async function ek(r,e,t=!1){$(r!==e,()=>`Old path and new path are the same: '${r}'`);let o=ft.getLoadHandlers(r);$(o.length>0,()=>`Copying failed because no load handler is found for source URL ${r}.`),$(o.length<2,()=>`Copying failed because more than one (${o.length}) load handlers for source URL ${r}.`);let n=o[0],s=ft.getSaveHandlers(e);$(s.length>0,()=>`Copying failed because no save handler is found for destination URL ${e}.`),$(s.length<2,()=>`Copying failed because more than one (${o.length}) save handlers for destination URL ${e}.`);let a=s[0],i=id(r).scheme,p=id(r).path,u=i===id(r).scheme,c=await n.load();t&&u&&await Qt.getManager(i).removeModel(p);let l=await a.save(c);return t&&!u&&await Qt.getManager(i).removeModel(p),l.modelArtifactsInfo}async function tk(){let r=Qt.getSchemes(),e={};for(let t of r){let o=await Qt.getManager(t).listModels();for(let n in o){let s=t+nc+n;e[s]=o[n]}}return e}async function rk(r){let e=id(r);return Qt.getManager(e.scheme).removeModel(e.path)}async function ok(r,e){return ek(r,e,!1)}async function nk(r,e){return ek(r,e,!0)}var gw=class{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(e,t){return fetch(e,t)}now(){return performance.now()}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${t}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)}decode(e,t){return new TextDecoder(t).decode(e)}setTimeoutCustom(e,t){if(typeof window=="undefined"||!P().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(e,t);return}this.functionRefs.push(e),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},t),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",o=>{if(o.source===window&&o.data.name===this.messageName){o.stopPropagation();let n=this.functionRefs[o.data.index];n(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(e){return qm(e)}};if(P().get("IS_BROWSER")){P().setPlatform("browser",new gw);try{Qt.registerManager(ya.URL_SCHEME,new ad)}catch(r){}try{Qt.registerManager(xa.URL_SCHEME,new sd)}catch(r){}}var XG={importFetch:()=>sk()},xw;var yw=class{constructor(){this.util=ak(),this.textEncoder=new this.util.TextEncoder}fetch(e,t){return P().global.fetch!=null?P().global.fetch(e,t):(xw==null&&(xw=XG.importFetch()),xw(e,t))}now(){let e=process.hrtime();return e[0]*1e3+e[1]/1e6}encode(e,t){if(t!=="utf-8"&&t!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${t}`);return this.textEncoder.encode(e)}decode(e,t){return e.length===0?"":new this.util.TextDecoder(t).decode(e)}isTypedArray(e){return this.util.types.isFloat32Array(e)||this.util.types.isInt32Array(e)||this.util.types.isUint8Array(e)||this.util.types.isUint8ClampedArray(e)}};P().get("IS_NODE")&&!P().get("IS_BROWSER")&&P().setPlatform("node",new yw);function me(r,e="float32",t){return e=e||"float32",Ct(r),new tt(r,e,t)}function YG(r,e){let t=v(r,"x","cast");if(!zC(e))throw new Error(`Failed to cast to unknown dtype ${e}`);if(e==="string"&&t.dtype!=="string"||e!=="string"&&t.dtype==="string")throw new Error("Only strings can be casted to strings");let o={x:t},n={dtype:e};return T.runKernel(ho,o,n)}var Ye=N({cast_:YG});function QG(r){let t={x:v(r,"x","clone","string_or_numeric")};return T.runKernel(xo,t)}var Vr=N({clone_:QG});function ud(r,e=!1){console.log(r.toString(e))}aw();var ZG={buffer:me,cast:Ye,clone:Vr,print:ud};F0(ZG);function fme(){P().set("PROD",!0)}function hme(){P().set("DEBUG",!0)}function gme(){P().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function bw(r){P().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(r+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}P0(bw);function xme(){T.disposeVariables()}function ur(){return T}function yme(){return T.memory()}function bme(r){return T.profile(r)}function De(r,e){return T.tidy(r,e)}function Ot(r){bl(r).forEach(t=>t.dispose())}function Er(r){return T.keep(r)}function Cme(r){return T.time(r)}function wme(r){return T.setBackend(r)}function Sme(){return T.ready()}function Ime(){return T.backendName}function vme(r){T.removeBackend(r)}function kme(r){return T.findBackend(r)}function Nme(r){return T.findBackendFactory(r)}function eu(r,e,t=1){return T.registerBackend(r,e,t)}function Tme(){return T.backend}function _me(r,e){P().setPlatform(r,e)}function JG(r,e){let t=v(r,"a","add"),o=v(e,"b","add");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(no,n)}var be=N({add_:JG});function e4(r,e){let t=v(r,"a","floorDiv"),o=v(e,"b","floorDiv");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Cn,n)}var pd=N({floorDiv_:e4});function t4(r,e){let t=v(r,"a","div"),o=v(e,"b","div");if([t,o]=Oe(t,o),t.dtype==="int32"&&o.dtype==="int32")return pd(t,o);let n={a:t,b:o},s={};return T.runKernel(dn,n,s)}var Ke=N({div_:t4});function r4(r,e){let t=v(r,"a","mul"),o=v(e,"b","mul");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Kn,n)}var se=N({mul_:r4});function o4(r){let e=v(r,"x","abs");if(e.dtype==="complex64"){let t={x:e};return T.runKernel(_i,t)}else{let t={x:e};return T.runKernel(Gs,t)}}var Zt=N({abs_:o4});function n4(r){let t={x:v(r,"x","acos")};return T.runKernel(zo,t)}var ik=N({acos_:n4});function s4(r){let t={x:v(r,"x","acosh")};return T.runKernel(Vo,t)}var uk=N({acosh_:s4});function a4(r){$(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),$(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let e=r.map((n,s)=>v(n,`tensors${s}`,"addN")),t=e[0];e.forEach(n=>{if(n.dtype!==t.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(n=>{if(!br(n.shape,t.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let o=e;return T.runKernel(Wo,o)}var pk=N({addN_:a4});function i4(r,e=null,t=!1){let n={x:v(r,"x","all","bool")},s={axis:e,keepDims:t};return T.runKernel(Uo,n,s)}var ck=N({all_:i4});function u4(r,e=null,t=!1){let n={x:v(r,"x","any","bool")},s={axis:e,keepDims:t};return T.runKernel(Go,n,s)}var lk=N({any_:u4});function p4(r,e=0){let o={x:v(r,"x","argMax")},n={axis:e};return T.runKernel(Hs,o,n)}var mk=N({argMax_:p4});function c4(r,e=0){let o={x:v(r,"x","argMin")},n={axis:e};return T.runKernel(Ks,o,n)}var dk=N({argMin_:c4});function l4(r){let t={x:v(r,"x","asin")};return T.runKernel(Ho,t)}var fk=N({asin_:l4});function m4(r){let t={x:v(r,"x","asinh")};return T.runKernel(Ko,t)}var hk=N({asinh_:m4});function d4(r){let t={x:v(r,"x","atan")};return T.runKernel(qo,t)}var gk=N({atan_:d4});function f4(r,e){let t=v(r,"a","atan2"),o=v(e,"b","atan2");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Xo,n)}var xk=N({atan2_:f4});function h4(r){let t={x:v(r,"x","atanh")};return T.runKernel(jo,t)}var yk=N({atanh_:h4});function g4(r,e,t,o,n="NHWC",s){let a=r[3],i=[...e,a],p=Ck(n);return Mu(r,i,t,s,o,null,null,p)}function ww(r,e,t,o,n,s,a="channelsLast"){let[i,p]=wl(e),u;if(a==="channelsLast")u=[i,p,r[3],r[3]];else if(a==="channelsFirst")u=[i,p,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return Mu(r,u,t,o,n,s,!1,a)}function x4(r,e,t,o,n,s,a="NDHWC"){let[i,p,u]=Cw(e),c,l;if(a==="NDHWC")l="channelsLast",c=[i,p,u,r[4],r[4]];else if(a==="NCDHW")l="channelsFirst",c=[i,p,u,r[1],r[1]];else throw new Error(`Unknown dataFormat ${a}`);return bk(r,c,t,o,n,!1,l,s)}function Mu(r,e,t,o,n,s,a=!1,i="channelsLast"){let[p,u,c,l]=[-1,-1,-1,-1];if(i==="channelsLast")[p,u,c,l]=r;else if(i==="channelsFirst")[p,l,u,c]=r;else throw new Error(`Unknown dataFormat ${i}`);let[m,d,,f]=e,[h,g]=wl(t),[x,b]=wl(o),w=sc(m,x),S=sc(d,b),{padInfo:k,outHeight:_,outWidth:E}=C4(n,u,c,h,g,w,S,s,i),R=a?f*l:f,D;return i==="channelsFirst"?D=[p,R,_,E]:i==="channelsLast"&&(D=[p,_,E,R]),{batchSize:p,dataFormat:i,inHeight:u,inWidth:c,inChannels:l,outHeight:_,outWidth:E,outChannels:R,padInfo:k,strideHeight:h,strideWidth:g,filterHeight:m,filterWidth:d,effectiveFilterHeight:w,effectiveFilterWidth:S,dilationHeight:x,dilationWidth:b,inShape:r,outShape:D,filterShape:e}}function bk(r,e,t,o,n,s=!1,a="channelsLast",i){let[p,u,c,l,m]=[-1,-1,-1,-1,-1];if(a==="channelsLast")[p,u,c,l,m]=r;else if(a==="channelsFirst")[p,m,u,c,l]=r;else throw new Error(`Unknown dataFormat ${a}`);let[d,f,h,,g]=e,[x,b,w]=Cw(t),[S,k,_]=Cw(o),E=sc(d,S),R=sc(f,k),D=sc(h,_),{padInfo:F,outDepth:O,outHeight:M,outWidth:L}=w4(n,u,c,l,x,b,w,E,R,D,i),B=s?g*m:g,z;return a==="channelsFirst"?z=[p,B,O,M,L]:a==="channelsLast"&&(z=[p,O,M,L,B]),{batchSize:p,dataFormat:a,inDepth:u,inHeight:c,inWidth:l,inChannels:m,outDepth:O,outHeight:M,outWidth:L,outChannels:B,padInfo:F,strideDepth:x,strideHeight:b,strideWidth:w,filterDepth:d,filterHeight:f,filterWidth:h,effectiveFilterDepth:E,effectiveFilterHeight:R,effectiveFilterWidth:D,dilationDepth:S,dilationHeight:k,dilationWidth:_,inShape:r,outShape:z,filterShape:e}}function y4(r,e,t,o,n){o==null&&(o=Sw(r,e,t));let s=r[0],a=r[1],i=Sl((s-e+2*o)/t+1,n),p=Sl((a-e+2*o)/t+1,n);return[i,p]}function b4(r,e,t,o,n,s){n==null&&(n=Sw(r,e[0],o[0]));let a=[0,0,0,t];for(let i=0;i<3;i++)r[i]+2*n>=e[i]&&(a[i]=Sl((r[i]-e[i]+2*n)/o[i]+1,s));return a}function Sw(r,e,t,o=1){let n=sc(e,o);return Math.floor((r[0]*(t-1)-t+n)/2)}function wl(r){return typeof r=="number"?[r,r,r]:r.length===2?[r[0],r[1],1]:r}function Cw(r){return typeof r=="number"?[r,r,r]:r}function sc(r,e){return e<=1?r:r+(r-1)*(e-1)}function C4(r,e,t,o,n,s,a,i,p){let u,c,l;if(typeof r=="number"){u={top:r,bottom:r,left:r,right:r,type:r===0?"VALID":"NUMBER"};let d=y4([e,t],s,o,r,i);c=d[0],l=d[1]}else if(r==="same"){c=Math.ceil(e/o),l=Math.ceil(t/n);let m=Math.max(0,(c-1)*o+s-e),d=Math.max(0,(l-1)*n+a-t),f=Math.floor(m/2),h=m-f,g=Math.floor(d/2),x=d-g;u={top:f,bottom:h,left:g,right:x,type:"SAME"}}else if(r==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((e-s+1)/o),l=Math.ceil((t-a+1)/n);else if(typeof r=="object"){let m=p==="channelsLast"?r[1][0]:r[2][0],d=p==="channelsLast"?r[1][1]:r[2][1],f=p==="channelsLast"?r[2][0]:r[3][0],h=p==="channelsLast"?r[2][1]:r[3][1];u={top:m,bottom:d,left:f,right:h,type:m===0&&d===0&&f===0&&h===0?"VALID":"EXPLICIT"},c=Sl((e-s+m+d)/o+1,i),l=Sl((t-a+f+h)/n+1,i)}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:u,outHeight:c,outWidth:l}}function w4(r,e,t,o,n,s,a,i,p,u,c){let l,m,d,f;if(r==="valid"&&(r=0),typeof r=="number"){l={top:r,bottom:r,left:r,right:r,front:r,back:r,type:r===0?"VALID":"NUMBER"};let g=b4([e,t,o,1],[i,p,u],1,[n,s,a],r,c);m=g[0],d=g[1],f=g[2]}else if(r==="same"){m=Math.ceil(e/n),d=Math.ceil(t/s),f=Math.ceil(o/a);let h=(m-1)*n+i-e,g=(d-1)*s+p-t,x=(f-1)*a+u-o,b=Math.floor(h/2),w=h-b,S=Math.floor(g/2),k=g-S,_=Math.floor(x/2),E=x-_;l={top:S,bottom:k,left:_,right:E,front:b,back:w,type:"SAME"}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:l,outDepth:m,outHeight:d,outWidth:f}}function Sl(r,e){if(!e)return Math.trunc(r);switch(e){case"round":return Math.round(r);case"ceil":return Math.ceil(r);case"floor":return Math.floor(r);default:throw new Error(`Unknown roundingMode ${e}`)}}function Ou(r){let[e,t,o]=wl(r);return e===1&&t===1&&o===1}function gr(r,e){return Ou(r)||Ou(e)}function ba(r){return wl(r).every(e=>e>0)}function Ck(r){if(r==="NHWC")return"channelsLast";if(r==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${r}`)}function Lt(r,e,t){if(t!=null){if(typeof e=="string")throw Error(`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);if(typeof e=="number")$(Ba(e),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${e}.`);else if(typeof e=="object")e.forEach(o=>{o.forEach(n=>{$(Ba(n),()=>`Error in ${r}: pad must be an integer when using dimRoundingMode ${t} but got pad ${n}.`)})});else throw Error(`Error in ${r}: Unknown padding parameter: ${e}`)}}function S4(r,e){let o={x:v(r,"x","reshape","string_or_numeric")},n={shape:e};return T.runKernel(ia,o,n)}var W=N({reshape_:S4});function I4(r,e,t,o,n){let s=v(r,"x","avgPool","float32"),a=1;$(gr(t,a),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`);let i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${i.rank}.`),Lt("avgPool",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Yo,u,c);return l=Ye(l,s.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var cd=N({avgPool_:I4});function v4(r,e,t,o,n,s="NDHWC"){let a=v(r,"x","avgPool3d","float32"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),$(typeof t=="number"&&t>0||Array.isArray(t)&&t[0]>0&&t[1]>0&&t[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${t}'`),Lt("avgPool3d",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(qs,u,c);return l=Ye(l,i.dtype),p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var wk=N({avgPool3d_:v4});function k4(r,e=0){$(r.length>=1,()=>"Pass at least one tensor to concat");let t=Ja(r,"tensors","concat","string_or_numeric");if(t[0].dtype==="complex64"&&t.forEach(s=>{if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor + with dtype ${s.dtype}. `)}),t.length===1)return Vr(t[0]);let o=t,n={axis:e};return T.runKernel(Ys,o,n)}var yt=N({concat_:k4});function N4(r,e,t=!1,o=!1){let n=v(r,"a","matMul"),s=v(e,"b","matMul");[n,s]=Oe(n,s);let a={a:n,b:s},i={transposeA:t,transposeB:o};return T.runKernel(Qo,a,i)}var Qe=N({matMul_:N4});function T4(r){let t={x:v(r,"x","sigmoid","float32")};return T.runKernel(hs,t)}var wa=N({sigmoid_:T4});function _4(r,e,t){let o=v(r,"x","slice","string_or_numeric");if(o.rank===0)throw new Error("Slicing scalar is not possible");let n={x:o},s={begin:e,size:t};return T.runKernel(pa,n,s)}var qe=N({slice_:_4});function $4(r){let t={x:v(r,"x","tanh","float32")};return T.runKernel(ks,t)}var Il=N({tanh_:$4});function E4(r,e,t,o,n,s){let a=v(r,"forgetBias","basicLSTMCell"),i=v(e,"lstmKernel","basicLSTMCell"),p=v(t,"lstmBias","basicLSTMCell"),u=v(o,"data","basicLSTMCell"),c=v(n,"c","basicLSTMCell"),l=v(s,"h","basicLSTMCell"),m=yt([u,l],1),d=Qe(m,i),f=be(d,p),h=f.shape[0],g=f.shape[1]/4,x=[h,g],b=qe(f,[0,0],x),w=qe(f,[0,g],x),S=qe(f,[0,g*2],x),k=qe(f,[0,g*3],x),_=be(se(wa(b),Il(w)),se(c,wa(be(a,S)))),E=se(Il(_),wa(k));return[_,E]}var Sk=N({basicLSTMCell_:E4});function R4(r,e,t){let o=v(r,"x","batchToSpaceND"),n=e.reduce((i,p)=>i*p);$(o.rank>=1+e.length,()=>`input rank is ${o.rank} but should be > than blockShape.length ${e.length}`),$(t.length===e.length,()=>`crops.length is ${t.length} but should be equal to blockShape.length ${e.length}`),$(o.shape[0]%n===0,()=>`input tensor batch is ${o.shape[0]} but is not divisible by the product of the elements of blockShape ${e.join(" * ")} === ${n}`);let s={x:o},a={blockShape:e,crops:t};return T.runKernel(js,s,a)}var ld=N({batchToSpaceND_:R4});function Ik(r){let e;return r.rank===0||r.rank===1?e=W(r,[1,1,1,r.size]):r.rank===2?e=W(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?e=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]):e=r,e}function D4(r,e,t,o,n,s){s==null&&(s=.001);let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;o!=null&&(c=v(o,"offset","batchNorm")),$(i.rank===p.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),$(c==null||i.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),$(u==null||i.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:Ik(a),scale:u,offset:c,mean:i,variance:p},d={varianceEpsilon:s},f=T.runKernel(wn,m,d);return W(f,a.shape)}var tu=N({batchNorm_:D4});function A4(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${a.rank}.`),$(i.rank===2||i.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${i.rank}.`),$(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var vk=N({batchNorm2d_:A4});function F4(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${a.rank}.`),$(i.rank===3||i.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${i.rank}.`),$(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var kk=N({batchNorm3d_:F4});function P4(r,e,t,o,n,s){let a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),p=v(t,"variance","batchNorm"),u;n!=null&&(u=v(n,"scale","batchNorm"));let c;return o!=null&&(c=v(o,"offset","batchNorm")),$(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),$(i.rank===4||i.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`),$(p.rank===4||p.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${p.rank}.`),u!=null&&$(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),c!=null&&$(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),tu(a,i,p,c,u,s)}var Nk=N({batchNorm4d_:P4});function O4(r,e,t){let o=v(r,"x","bincount"),n=v(e,"weights","bincount");$(o.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${o.dtype}`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(n.size===o.size||n.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${o.shape}, weights shape: ${n.shape}.`);let s={x:o,weights:n},a={size:t};return T.runKernel(Zo,s,a)}var md=N({bincount_:O4});function M4(r,e){let t=v(r,"x","bitwiseAnd"),o=v(e,"y","bitwiseAnd");if(!br(t.shape,o.shape))throw new Error(`BitwiseAnd: Tensors must have the same shape. x: ${t.shape}, y: ${o.shape}`);if(t.dtype!=="int32"||o.dtype!=="int32")throw new Error(`BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ${t.dtype} and type of y: ${o.dtype}`);let n={a:t,b:o};return T.runKernel(ml,n)}var Tk=N({bitwiseAnd_:M4});function L4(r,e){let t=v(r,"s0","broadcastArgs","int32"),o=v(e,"s1","broadcastArgs","int32");if(t.rank!==1)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${t.rank}`);if(o.rank!==1)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${o.rank}`);let n={s0:t,s1:o};return T.runKernel(Xs,n)}var _k=N({broadcastArgs_:L4});function B4(r,e){let t=v(r,"broadcastTo","x"),o=t.shape;if(Ct(e),e.lengtht.rank){let u=t.shape.slice();for(;u.length=0;u--)if(n[u]===e[u])s[u]=1;else if(t.shape[u]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${e}].`);if(s.map((u,c)=>u>1?c:-1).filter(u=>u>=0).length===0)return Vr(t);let i={x:t},p={reps:s};return T.runKernel(so,i,p)}var ru=N({broadcastTo_:B4});function z4(r){let t={x:v(r,"x","ceil","float32")};return T.runKernel(Jo,t)}var $k=N({ceil_:z4});function Sa(r,e,t){Ct(r),t=t||ki(e);let o={shape:r,value:e,dtype:t};return T.runKernel(ea,{},o)}function V4(r,e,t){let o=v(r,"x","clipByValue");if($(e<=t,()=>`Error in clip: min (${e}) must be less than or equal to max (${t}).`),e===t)return Sa(o.shape,e,o.dtype);let n={x:o},s={clipValueMin:e,clipValueMax:t};return T.runKernel(go,n,s)}var Ek=N({clipByValue_:V4});function W4(r){return yt(r,0)}var Rk=N({concat1d_:W4});function U4(r,e){return yt(r,e)}var Dk=N({concat2d_:U4});function G4(r,e){return yt(r,e)}var Ak=N({concat3d_:G4});function H4(r,e){return yt(r,e)}var Fk=N({concat4d_:H4});function K4(r,e,t,o,n="NHWC",s=[1,1],a){let i=v(r,"x","conv2d","float32"),p=v(e,"filter","conv2d","float32"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${p.rank}.`),Lt("conv2d",o,a);let l=n==="NHWC"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in conv2d: depth of input (${l}) must match input depth for filter ${p.shape[2]}.`),$(gr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(ba(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),$(ba(t),()=>"Error in conv2D: Strides should be larger than 0.");let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(en,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ou=N({conv2d_:K4});function q4(r,e,t,o,n="NWC",s=1,a){let i=v(r,"x","conv1d"),p=v(e,"filter","conv1d"),u=i,c=!1;i.rank===2&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1]])),$(u.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${u.rank}.`),$(p.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${p.rank}.`),Lt("conv1d",o,a),$(u.shape[2]===p.shape[1],()=>`Error in conv1d: depth of input (${u.shape[2]}) must match input depth for filter ${p.shape[1]}.`),$(gr(t,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${t} and dilation '${s}'`),$(ba(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),$(ba(t),()=>"Error in conv1D: Stride should be larger than 0."),$(n==="NWC",()=>`Error in conv1d: got dataFormat of ${n} but only NWC is currently supported.`);let l=W(p,[1,p.shape[0],p.shape[1],p.shape[2]]),m=W(u,[u.shape[0],1,u.shape[1],u.shape[2]]),g=ou(m,l,[1,t],o,"NHWC",[1,s],a);return c?W(g,[g.shape[2],g.shape[3]]):W(g,[g.shape[0],g.shape[2],g.shape[3]])}var Pk=N({conv1d_:q4});function j4(r,e,t,o,n,s="NHWC",a){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let i=r,p=e,u=!1;e.rank===3&&(u=!0,p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]),i=[1,r[0],r[1],r[2]]),$(i.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`),$(p.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${p.rank}`),$(t.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${t.rank}`);let c=s==="NHWC"?i[3]:i[1],l=s==="NHWC"?p.shape[3]:p.shape[1];$(c===t.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t.shape[2]}.`),$(l===t.shape[3],()=>`Error in conv2dDerInput: depth of output (${l}) must match output depth for filter ${t.shape[3]}.`),Lt("conv2dDerInput",n,a);let m={dy:p,filter:t},d={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,inputShape:i},f=T.runKernel(tn,m,d);return u?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var dd=N({conv2DBackpropInput_:j4});function X4(r,e,t,o,n,s){let a=v(r,"x","conv2dTranspose"),i=v(e,"filter","conv2dTranspose");return dd(t,a,i,o,n,"NHWC",s)}var Ok=N({conv2dTranspose_:X4});function Y4(r,e,t,o,n="NDHWC",s=[1,1,1]){let a=v(r,"x","conv3d"),i=v(e,"filter","conv3d"),p=a,u=!1;a.rank===4&&(u=!0,p=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(p.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${p.rank}.`),$(i.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`),$(p.shape[4]===i.shape[3],()=>`Error in conv3d: depth of input (${p.shape[4]}) must match input depth for filter ${i.shape[3]}.`),$(gr(t,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),$(n==="NDHWC",()=>`Error in conv3d: got dataFormat of ${n} but only NDHWC is currently supported.`),$(ba(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),$(ba(t),()=>"Error in conv3D: Strides should be larger than 0.");let c={x:p,filter:i},l={strides:t,pad:o,dataFormat:n,dilations:s},m=T.runKernel(rn,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Mk=N({conv3d_:Y4});function Q4(r,e,t,o,n){$(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let s=r,a=e,i=!1;e.rank===4&&(i=!0,a=W(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]),s=[1,r[0],r[1],r[2],r[3]]);let p=s[4],u=a.shape[4];$(s.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),$(a.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${a.rank}`),$(t.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${t.rank}`),$(p===t.shape[3],()=>`Error in conv3dDerInput: depth of input (${p}) must match input depth for filter ${t.shape[3]}.`),$(u===t.shape[4],()=>`Error in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t.shape[4]}.`);let c={dy:a,filter:t},l={pad:n,strides:o,inputShape:s},m=T.runKernel(on,c,l);return i?W(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var Lk=N({conv3DBackpropInput_:Q4});function Z4(r,e,t,o,n){let s=v(r,"x","conv3dTranspose"),a=v(e,"filter","conv3dTranspose");return Lk(t,s,a,o,n)}var Bk=N({conv3dTranspose_:Z4});function J4(r){let t={x:v(r,"x","cos","float32")};return T.runKernel(nn,t)}var zk=N({cos_:J4});function eH(r){let t={x:v(r,"x","cosh","float32")};return T.runKernel(sn,t)}var Vk=N({cosh_:eH});function tH(r,e=0,t=!1,o=!1){let s={x:v(r,"x","cumprod")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(an,s,a)}var Wk=N({cumprod_:tH});function rH(r,e=0,t=!1,o=!1){let s={x:v(r,"x","cumsum")},a={axis:e,exclusive:t,reverse:o};return T.runKernel(un,s,a)}var Uk=N({cumsum_:rH});function oH(r,e,t,o=!1){let n=v(r,"x","denseBincount"),s=v(e,"weights","denseBincount");$(n.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${n.dtype}`),$(n.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${n.rank}.`),$(t>=0,()=>`size must be non-negative, but got ${t}.`),$(s.size===n.size||s.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${n.shape}, weights shape: ${s.shape}.`);let a={x:n,weights:s},i={size:t,binaryOutput:o};return T.runKernel(Qs,a,i)}var Gk=N({denseBincount_:oH});function nH(r,e,t="NHWC"){let o=v(r,"x","depthToSpace","float32"),n=t==="NHWC"?o.shape[1]:o.shape[2],s=t==="NHWC"?o.shape[2]:o.shape[3],a=t==="NHWC"?o.shape[3]:o.shape[1];$(e>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${e}`),$(n*e>=0,()=>`Negative dimension size caused by overflow when multiplying ${n} and ${e} for depthToSpace with input shape ${o.shape}`),$(s*e>=0,()=>`Negative dimension size caused by overflow when multiplying ${s} and ${e} for depthToSpace with input shape - ${o.shape}`),$(a%(e*e)===0,()=>`Dimension size must be evenly divisible by ${e*e} but is ${a} for depthToSpace with input shape ${o.shape}`);let i={x:o},p={blockSize:e,dataFormat:t};return T.runKernel(Yo,i,p)}var Tv=N({depthToSpace_:eU});function tU(r,e,t,o,n="NHWC",s=[1,1],a){let i=v(r,"x","depthwiseConv2d","float32"),p=v(e,"filter","depthwiseConv2d","float32"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${p.rank}.`);let l=n==="NHWC"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`),Mt("depthwiseConv2d",o,a);let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(Qo,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Bp=N({depthwiseConv2d_:tU});function rU(r){let t={x:v(r,"x","diag")};return T.runKernel(si,t)}var _v=N({diag_:rU});function oU(r,e,t,o,n=[1,1],s="NHWC"){let a=v(r,"x","dilation2d"),i=v(e,"filter","dilation2d");$(a.rank===3||a.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`),$(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let p=a,u=!1;a.rank===3&&(p=W(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0),$(p.shape[3]===i.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${p.shape[3]} vs ${i.shape[2]}`);let c={x:p,filter:i},l={strides:t,pad:o,dilations:n},m=T.runKernel(ai,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var $v=N({dilation2d_:oU});var yr={};Ge(yr,{assertAndGetBroadcastShape:()=>Je,getBroadcastDims:()=>Ev,getReductionAxes:()=>Qm});function Ev(r,e){let t=r.length,o=[];for(let n=0;n1&&a===1&&o.unshift(s)}return o}function Qm(r,e){let t=[];for(let o=0;o1)&&t.unshift(s)}return t}function Je(r,e){let t=[],o=Math.max(r.length,e.length);for(let n=0;n`Error in dot: inputs must all be rank 1 or 2, but got ranks ${t.rank} and ${o.rank}.`);let n=t.rank===1?t.size:t.shape[1],s=o.rank===1?o.size:o.shape[0];if($(n===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${n} and ${s}.`),t.rank===1&&o.rank===1){let a=W(t,[1,-1]),i=W(o,[-1,1]),p=Xe(a,i);return W(p,[])}else if(t.rank===1&&o.rank===2){let a=W(t,[1,-1]),i=W(o,[o.shape[0],o.shape[1]]),p=Xe(a,i);return W(p,[p.size])}else if(t.rank===2&&o.rank===1){let a=W(o,[-1,1]),i=Xe(t,a);return W(i,[i.size])}else{let a=W(o,[o.shape[0],o.shape[1]]);return Xe(t,a)}}var Rv=N({dot_:uU});function pU(r,...e){let t=e.map((n,s)=>v(n,`tensors${s}`,"einsum")),o={equation:r};return T.runKernel(ii,t,o)}var Dv=N({einsum_:pU});function cU(r){let t={x:v(r,"x","elu","float32")};return T.runKernel(Jo,t)}var Jm=N({elu_:cU});function lU(r){let e=v(r,"x","erf");$(e.dtype==="int32"||e.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),e.dtype==="int32"&&(e=je(e,"float32"));let t={x:e};return T.runKernel(da,t)}var Fv=N({erf_:lU});function uC(r,e){for(let t=0;tr[s]);return[t,n]}function Ea(r,e){let t=e.map(o=>1);return Ov(r,t,e)}function dU(r,e,t){$(uC(e,t),()=>`${r} supports only inner-most axes for now. Got axes ${e} and rank-${t} input.`)}function fU(r,e){if(uC(r,e))return null;let t=[];for(let o=0;ot.push(o)),t}function hU(r){return r.map((e,t)=>[t,e]).sort((e,t)=>e[1]-t[1]).map(e=>e[0])}function gU(r,e){let t=[];for(let o=e-r;o"Axis must be <= rank of the tensor");let o={input:t},n={dim:e};return T.runKernel(Ss,o,n)}var Ra=N({expandDims_:TU});function _U(r){let t={x:v(r,"x","expm1")};return T.runKernel(fa,t)}var Lv=N({expm1_:_U});function $U(r,e){let t=v(r,"x","tile","string_or_numeric");$(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let o={x:t},n={reps:e};return T.runKernel(to,o,n)}var Ai=N({tile_:$U});function EU(r,e,t,o="float32"){e==null&&(e=r);let n=le([r,e],o),s=r<=e?r:e;for(let i=0;i`Error in localResponseNormalization: x must be rank 3 or 4 but got - rank ${s.rank}.`),$(sa(e),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`);let a=s,i=!1;s.rank===3&&(i=!0,a=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let p={x:a},u={depthRadius:e,bias:t,alpha:o,beta:n},c=T.runKernel(mi,p,u);return i?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Gv=N({localResponseNormalization_:WU});function UU(r){let t={x:v(r,"x","log","float32")};return T.runKernel(fn,t)}var Da=N({log_:UU});function GU(r){let t={x:v(r,"x","log1p")};return T.runKernel(xa,t)}var sd=N({log1p_:GU});function HU(r){return $(gs(r),()=>"The f passed in grad(f) must be a function"),(e,t)=>{let o=v(e,"x","tf.grad","string_or_numeric"),n=t!=null?v(t,"dy","tf.grad"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(o),[o],n);return n!=null&>(s.shape,n.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),ad(a),a[0]})}}function KU(r){return $(gs(r),()=>"The f passed in grads(f) must be a function"),(e,t)=>{$(Array.isArray(e),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let o=_a(e,"args","tf.grads","string_or_numeric"),n=t!=null?v(t,"dy","tf.grads"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(...o),o,n);return n!=null&>(s.shape,n.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),ad(a),a})}}function qU(r){return $(gs(r),()=>"The f passed in valueAndGrad(f) must be a function"),(e,t)=>{$(e instanceof it,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(t==null||t instanceof it,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:o,value:n}=T.gradients(()=>r(e),[e],t);return ad(o),{grad:o[0],value:n}}}function jU(r){return $(gs(r),()=>"The f passed in valueAndGrads(f) must be a function"),(e,t)=>{$(Array.isArray(e)&&e.every(n=>n instanceof it),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(t==null||t instanceof it,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let o=T.gradients(()=>r(...e),e,t);return t!=null&>(o.value.shape,t.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),ad(o.grads),o}}function pC(r,e){$(gs(r),()=>"The f passed in variableGrads(f) must be a function"),$(e==null||Array.isArray(e)&&e.every(u=>u instanceof Na),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let t=e!=null;if(!t){e=[];for(let u in T.registeredVariables)e.push(T.registeredVariables[u])}let o=t?e.filter(u=>!u.trainable):null,n=e.length;e=e.filter(u=>u.trainable),$(e.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${n} variables is trainable.`);let s=!0,{value:a,grads:i}=T.gradients(r,e,null,s);$(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(a.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${a.rank} tensor`);let p={};return e.forEach((u,c)=>{i[c]!=null&&(p[u.name]=i[c])}),o!=null&&o.forEach(u=>p[u.name]=null),{value:a,grads:p}}function br(r){return T.customGrad(r)}function ad(r){if(r.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that - the f you passed encloses all operations that lead from x to y.`)}function XU(r){let t={x:v(r,"x","neg")};return T.runKernel(vs,t)}var Cr=N({neg_:XU});function YU(r){let t={x:v(r,"x","softplus")};return T.runKernel(Ia,t)}var id=N({softplus_:YU});function QU(r){let e=v(r,"x","logSigmoid");return br(o=>({value:Cr(id(Cr(o))),gradFunc:a=>ne(a,Ws(Cr(o)))}))(e)}var Hv=N({logSigmoid_:QU});function ZU(r,e){let t=v(r,"a","sub"),o=v(e,"b","sub");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(Yn,n)}var ke=N({sub_:ZU});function JU(r,e=-1){let t=v(r,"logits","logSoftmax");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and axis was ${e}`);return br((n,s)=>{let i=Gs(n,e,!0),p=ke(n,i),u=ke(je(p,"float32"),Da(et(So(p),e,!0)));return s([u]),{value:u,gradFunc:(l,m)=>{let[d]=m,f=!0,h=So(d);return ke(l,ne(et(l,e,f),h))}}})(t)}var Kv=N({logSoftmax_:JU});function e4(r,e=null,t=!1){let o=v(r,"x","logSumExp"),n=Ja(e,o.shape),s=Gs(o,n,!0),a=ke(o,s),i=So(a),p=et(i,n),u=Da(p),c=be(W(s,u.shape),u);if(t){let l=Ea(c.shape,n);return W(c,l)}return c}var ud=N({logSumExp_:e4});function t4(r,e){let t=v(r,"a","logicalAnd","bool"),o=v(e,"b","logicalAnd","bool");Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(hn,n)}var pu=N({logicalAnd_:t4});function r4(r){let t={x:v(r,"x","logicalNot","bool")};return T.runKernel(gn,t)}var pd=N({logicalNot_:r4});function o4(r,e){let t=v(r,"a","logicalOr","bool"),o=v(e,"b","logicalOr","bool");Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(xn,n)}var cd=N({logicalOr_:o4});function n4(r,e){let t=v(r,"a","logicalXor","bool"),o=v(e,"b","logicalXor","bool");return Je(t.shape,o.shape),pu(cd(r,e),pd(pu(r,e)))}var qv=N({logicalXor_:n4});var ld=2147483648;function s4(r,e,t="left"){let o=v(r,"sortedSequence","searchSorted"),n=v(e,"values","searchSorted"),s=o.shape[o.shape.length-1],a=n.shape[n.shape.length-1],i=W(o,[-1,s]),p=W(n,[-1,a]);if(i.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(i.shape[0]!==p.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(We(p.shape)>=ld)throw new Error(`values tensor size must less than ${ld}`);if(i.shape[1]>=ld)throw new Error(`trailing dim_size must less than ${ld} for int32 output type, was ${i.shape[1]}`);let u={sortedSequence:i,values:p},c={side:t};return T.runKernel(fi,u,c)}var ol=N({searchSorted_:s4});function jv(r,e){return ol(r,e,"left")}function a4(r,e,t,o,n){let s=v(r,"x","maxPool"),a=1,i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${i.rank}.`),$(mr(t,a),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`),Mt("maxPool",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(Cn,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var md=N({maxPool_:a4});function i4(r,e=[1,1,1],t,o,n,s="NDHWC"){let a=v(r,"x","maxPool3d"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Mt("maxPool3d",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(Cp,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var Xv=N({maxPool3d_:i4});function u4(r,e,t,o,n=!1){let a={x:v(r,"x","maxPoolWithArgmax")},i={filterSize:e,strides:t,pad:o,includeBatchInIndex:n},p=T.runKernel(Sp,a,i);return{result:p[0],indexes:p[1]}}var Yv=N({maxPoolWithArgmax_:u4});function p4(r,e){let t=v(r,"a","maximum"),o=v(e,"b","maximum");[t,o]=De(t,o),t.dtype==="bool"&&(t=je(t,"int32"),o=je(o,"int32")),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(bn,n)}var dd=N({maximum_:p4});function c4(r,e=null,t=!1){let n={x:v(r,"x","mean")},s={axis:e,keepDims:t};return T.runKernel(Sn,n,s)}var cu=N({mean_:c4});function Br(r,e="float32"){if(bt(r),e==="complex64"){let o=Br(r,"float32"),n=Br(r,"float32");return Tr(o,n)}let t=lp(We(r),e);return T.makeTensor(t,r,e)}function Hs(r,e="float32"){if(bt(r),e==="complex64"){let o=Hs(r,"float32"),n=Br(r,"float32");return Tr(o,n)}let t=Wc(We(r),e);return T.makeTensor(t,r,e)}function Qv(r,e,{indexing:t="xy"}={}){if(t!=="xy"&&t!=="ij")throw new TypeError(`${t} is not a valid third argument to meshgrid`);if(r===void 0)return[];let o=v(r,"x","meshgrid",r instanceof it?r.dtype:"float32");if(e===void 0)return[o];let n=v(e,"y","meshgrid",e instanceof it?e.dtype:"float32"),s=We(o.shape),a=We(n.shape);return t==="xy"?(o=W(o,[1,-1]),n=W(n,[-1,1]),[Xe(Hs([a,1],o.dtype),o),Xe(n,Hs([1,s],n.dtype))]):(o=W(o,[-1,1]),n=W(n,[1,-1]),[Xe(o,Hs([1,a],o.dtype)),Xe(Hs([s,1],n.dtype),n)])}function l4(r,e){let t=v(r,"a","minimum"),o=v(e,"b","minimum");[t,o]=De(t,o),t.dtype==="bool"&&(t=je(t,"int32"),o=je(o,"int32")),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(In,n)}var fd=N({minimum_:l4});function m4(r,e,t){$(t==="reflect"||t==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${t}.`);let o=v(r,"x","mirrorPad");if(o.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(e.length===o.rank,()=>`Padding doesn't match input. Must be ${o.rank}. Got ${e.length}.`);let n=t==="reflect"?1:0;for(let i=0;i"Invalid number of paddings. Must be length of 2 each."),$(e[i][0]>=0&&e[i][0]<=o.shape[i]-n&&e[i][1]>=0&&e[i][1]<=o.shape[i]-n,()=>`Padding in dimension ${i} cannot be greater than or equal to ${o.shape[i]-n} or less than 0 for input of shape ${o.shape}`);let s={paddings:e,mode:t},a={x:o};return T.runKernel(vn,a,s)}var Zv=N({mirrorPad_:m4});function d4(r,e){let t=v(r,"a","mod"),o=v(e,"b","mod");[t,o]=De(t,o);let n={a:t,b:o};return T.runKernel(ya,n)}var Jv=N({mod_:d4});function f4(r,e=null,t=!1){r=v(r,"x","moments");let o=Ja(e,r.shape),n=cu(r,o,t),s=n.shape;t||(s=Ea(n.shape,o));let a=Qt(ke(je(r,"float32"),W(n,s))),i=cu(a,o,t);return{mean:n,variance:i}}var ek=N({moments_:f4});function h4(r,e,t,o){let n=v(e,"data","multiRNNCell"),s=_a(t,"c","multiRNNCell"),a=_a(o,"h","multiRNNCell"),i=n,p=[];for(let l=0;l2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${a}`);t=t||Math.random();let p={logits:a===1?W(n,[1,-1]):n},u={numSamples:e,seed:t,normalized:o},c=T.runKernel(wp,p,u);return a===1?W(c,[c.size]):c}var rk=N({multinomial_:g4});function x4(r,e){let t=v(r,"a","notEqual","string_or_numeric"),o=v(e,"b","notEqual","string_or_numeric");[t,o]=De(t,o),Je(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Nn,n)}var hd=N({notEqual_:x4});function y4(r,e,t=1,o=0,n="int32"){if(e<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${e}`);let a={indices:v(r,"indices","oneHot","int32")},i={dtype:n,depth:e,onValue:t,offValue:o};return T.runKernel($n,a,i)}var nl=N({oneHot_:y4});function b4(r){let t={x:v(r,"x","onesLike")};return T.runKernel(ks,t)}var ok=N({onesLike_:b4});function C4(r,e){let t=v(r,"v1","outerProduct"),o=v(e,"v2","outerProduct");$(t.rank===1&&o.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${t.rank} and ${o.rank}.`);let n=W(t,[-1,1]),s=W(o,[1,-1]);return Xe(n,s)}var nk=N({outerProduct_:C4});function S4(r,e,t=0){let o=v(r,"x","pad");if(o.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let n={paddings:e,constantValue:t},s={x:o};return T.runKernel(En,s,n)}var Ks=N({pad_:S4});function w4(r,e,t=0){return $(e.length===2,()=>"Invalid number of paddings. Must be length of 2."),Ks(r,[e],t)}var sk=N({pad1d_:w4});function I4(r,e,t=0){return $(e.length===2&&e[0].length===2&&e[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),Ks(r,e,t)}var ak=N({pad2d_:I4});function v4(r,e,t=0){return $(e.length===3&&e[0].length===2&&e[1].length===2&&e[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),Ks(r,e,t)}var ik=N({pad3d_:v4});function k4(r,e,t=0){return $(e.length===4&&e[0].length===2&&e[1].length===2&&e[2].length===2&&e[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),Ks(r,e,t)}var uk=N({pad4d_:k4});function N4(r,e,t){let o=v(r,"x","spaceToBatchND");$(o.rank>=1+e.length,()=>`input rank ${o.rank} should be > than [blockShape] ${e.length}`),$(t.length===e.length,()=>`paddings.shape[0] ${t.length} must be equal to [blockShape] ${e.length}`),$(o.shape.reduce((a,i,p)=>p>0&&p<=e.length?a&&(i+t[p-1][0]+t[p-1][1])%e[p-1]===0:a,!0),()=>`input spatial dimensions ${o.shape.slice(1)} with paddings ${t.toString()} must be divisible by blockShapes ${e.toString()}`);let n={x:o},s={blockShape:e,paddings:t};return T.runKernel(As,n,s)}var gd=N({spaceToBatchND_:N4});function T4(r,e,t,o,n,s,a){n==null&&(n=[1,1]),s==null&&(s=1),o===0&&(o="valid");let i=v(r,"x","maxPool"),p=i,u=!1;i.rank===3&&(u=!0,p=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(mr(s,n),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`);let c=aC(p.shape,e,s,n,o),l=[c.dilationHeight,c.dilationWidth],m;o==="same"?m=$4([c.filterHeight,c.filterWidth],l):m=[[0,0],[0,0]];let d=l[0]===1&&l[1]===1,[f,h]=_4([c.inHeight,c.inWidth],l,m),g=d?o:"valid",x=d?p:gd(p,l,f),C=(t==="avg"?()=>qm(x,e,s,g,a):()=>md(x,e,s,g,a))(),w=d?C:jm(C,l,h);return u?W(w,[w.shape[1],w.shape[2],w.shape[3]]):w}function _4(r,e,t){let o=t.map(c=>c[0]),n=t.map(c=>c[1]),s=r.concat(o,n),a=e.map((c,l)=>(c-s[l]%c)%c),i=n.map((c,l)=>c+a[l]),p=e.map((c,l)=>[o[l],i[l]]),u=e.map((c,l)=>[0,a[l]]);return[p,u]}function $4(r,e){let o=r.map((a,i)=>a+(a-1)*(e[i]-1)).map(a=>a-1),n=o.map(a=>Math.floor(a/2)),s=o.map((a,i)=>a-n[i]);return o.map((a,i)=>[n[i],s[i]])}var pk=N({pool_:T4});function E4(r,e){let t=v(r,"x","prelu"),o=v(e,"alpha","prelu"),n={x:t,alpha:o};return T.runKernel(Rn,n)}var xd=N({prelu_:E4});function A4(r,e=null,t=!1){let o=v(r,"x","prod");o.dtype==="bool"&&(o=je(o,"int32"));let n={x:o},s={axis:e,keepDims:t};return T.runKernel(Dn,n,s)}var ck=N({prod_:A4});function R4(r,e,t,o){let n=r.map((c,l)=>v(c,`tensors${l}`,"raggedGather","int32")),s=v(e,"paramsDenseValues","raggedGather"),a=v(t,"indices","raggedGather","int32"),i={paramsNestedSplits:n,paramsDenseValues:s,indices:a},p={outputRaggedRank:o},u=T.runKernel(Ip,i,p);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var lk=N({raggedGather_:R4});function D4(r,e,t){let o=v(r,"starts","raggedRange"),n=v(e,"limits","raggedRange",o.dtype),s=v(t,"deltas","raggedRange",o.dtype),a={starts:o,limits:n,deltas:s},i=T.runKernel(vp,a);return{rtNestedSplits:i[0],rtDenseValues:i[1]}}var mk=N({raggedRange_:D4});function F4(r,e,t,o,n){let s=v(r,"shape","raggedTensorToTensor","int32"),a=v(e,"values","raggedTensorToTensor"),i=v(t,"defaultValue","raggedTensorToTensor",a.dtype),p=o.map((l,m)=>v(l,`tensors${m}`,"raggedTensorToTensor","int32")),u={shape:s,values:a,defaultValue:i,rowPartitionTensors:p},c={rowPartitionTypes:n};return T.runKernel(kp,u,c)}var dk=N({raggedTensorToTensor_:F4});function O4(r,e,t){bt(r);let o=We(r),n=null;if(t==null||t==="float32")n=new Float32Array(o);else if(t==="int32")n=new Int32Array(o);else if(t==="bool")n=new Uint8Array(o);else throw new Error(`Unknown data type ${t}`);for(let s=0;sAk,createVideoElement:()=>j4,encodeStrings:()=>Dk,expectArrayBuffersEqual:()=>q4,expectArraysClose:()=>U4,expectArraysEqual:()=>H4,expectNumbersClose:()=>Rk,expectPromiseToFail:()=>G4,expectValuesInRange:()=>K4,play:()=>X4,testEpsilon:()=>bd});var W4=.001,Ak=.1;function U4(r,e,t){return t==null&&(t=bd()),xC(r,e,(o,n)=>yC(o,n,t))}function bd(){return T.backend.floatPrecision()===32?W4:Ak}function xC(r,e,t){let o=!0;if((Bt(r)||Bt(e))&&(o=!1),Bt(r)&&Bt(e)&&(o=!0),o){let a=r.constructor.name,i=e.constructor.name;if(a!==i)throw new Error(`Arrays are of different type. Actual: ${a}. Expected: ${i}`)}if(Array.isArray(r)&&Array.isArray(e)){let a=or(r),i=or(e);if(!Or(a,i))throw new Error(`Arrays have different shapes. Actual: [${a}]. Expected: [${i}]`)}let n=Bt(r)?r:os(r),s=Bt(e)?e:os(e);if(n.length!==s.length)throw new Error(`Arrays have different lengths actual: ${n.length} vs expected: ${s.length}. + ${o.shape}`),$(a%(e*e)===0,()=>`Dimension size must be evenly divisible by ${e*e} but is ${a} for depthToSpace with input shape ${o.shape}`);let i={x:o},p={blockSize:e,dataFormat:t};return T.runKernel(cn,i,p)}var Hk=N({depthToSpace_:nH});function sH(r,e,t,o,n="NHWC",s=[1,1],a){let i=v(r,"x","depthwiseConv2d","float32"),p=v(e,"filter","depthwiseConv2d","float32"),u=i,c=!1;i.rank===3&&(c=!0,u=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),$(p.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${p.rank}.`);let l=n==="NHWC"?u.shape[3]:u.shape[1];$(l===p.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${l}) must match the inChannels dimension in filter ${p.shape[2]}.`),Lt("depthwiseConv2d",o,a);let m={x:u,filter:p},d={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a},f=T.runKernel(ln,m,d);return c?W(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var ac=N({depthwiseConv2d_:sH});function aH(r){let t={x:v(r,"x","diag")};return T.runKernel(Zs,t)}var Kk=N({diag_:aH});function iH(r,e,t,o,n=[1,1],s="NHWC"){let a=v(r,"x","dilation2d"),i=v(e,"filter","dilation2d");$(a.rank===3||a.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`),$(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),$(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let p=a,u=!1;a.rank===3&&(p=W(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0),$(p.shape[3]===i.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${p.shape[3]} vs ${i.shape[2]}`);let c={x:p,filter:i},l={strides:t,pad:o,dilations:n},m=T.runKernel(mn,c,l);return u?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var qk=N({dilation2d_:iH});var Sr={};He(Sr,{assertAndGetBroadcastShape:()=>rt,getBroadcastDims:()=>jk,getReductionAxes:()=>fd});function jk(r,e){let t=r.length,o=[];for(let n=0;n1&&a===1&&o.unshift(s)}return o}function fd(r,e){let t=[];for(let o=0;o1)&&t.unshift(s)}return t}function rt(r,e){let t=Math.max(r.length,e.length),o=new Array(t);for(let n=0;n`Error in dot: inputs must all be rank 1 or 2, but got ranks ${t.rank} and ${o.rank}.`);let n=t.rank===1?t.size:t.shape[1],s=o.rank===1?o.size:o.shape[0];if($(n===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${n} and ${s}.`),t.rank===1&&o.rank===1){let a=W(t,[1,-1]),i=W(o,[-1,1]),p=Qe(a,i);return W(p,[])}else if(t.rank===1&&o.rank===2){let a=W(t,[1,-1]),i=W(o,[o.shape[0],o.shape[1]]),p=Qe(a,i);return W(p,[p.size])}else if(t.rank===2&&o.rank===1){let a=W(o,[-1,1]),i=Qe(t,a);return W(i,[i.size])}else{let a=W(o,[o.shape[0],o.shape[1]]);return Qe(t,a)}}var Yk=N({dot_:mH});function dH(r,...e){let t=e.map((n,s)=>v(n,`tensors${s}`,"einsum")),o={equation:r};return T.runKernel(Fi,t,o)}var Qk=N({einsum_:dH});function fH(r){let t={x:v(r,"x","elu","float32")};return T.runKernel(fn,t)}var gd=N({elu_:fH});function hH(r,e){let t=v(r,"x","ensureShape","string_or_numeric");if(!OC(t.shape,e))throw new Error(`EnsureShape: Shape of tensor ${t.shape} is not compatible with expected shape ${e}`);return r}var Zk=N({ensureShape_:hH});function gH(r){let e=v(r,"x","erf");$(e.dtype==="int32"||e.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),e.dtype==="int32"&&(e=Ye(e,"float32"));let t={x:e};return T.runKernel(Wa,t)}var Jk=N({erf_:gH});function Iw(r,e){for(let t=0;tr[s]);return[t,n]}function ti(r,e){let t=e.map(o=>1);return e2(r,t,e)}function yH(r,e,t){$(Iw(e,t),()=>`${r} supports only inner-most axes for now. Got axes ${e} and rank-${t} input.`)}function bH(r,e){if(Iw(r,e))return null;let t=[];for(let o=0;ot.push(o)),t}function CH(r){return r.map((e,t)=>[t,e]).sort((e,t)=>e[1]-t[1]).map(e=>e[0])}function wH(r,e){let t=[];for(let o=e-r;o"Axis must be <= rank of the tensor");let o={input:t},n={dim:e};return T.runKernel(Js,o,n)}var oi=N({expandDims_:DH});function AH(r){let t={x:v(r,"x","expm1")};return T.runKernel(xn,t)}var o2=N({expm1_:AH});function FH(r,e){let t=v(r,"x","tile","string_or_numeric");$(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let o={x:t},n={reps:e};return T.runKernel(so,o,n)}var nu=N({tile_:FH});function PH(r,e,t,o="float32"){e==null&&(e=r);let n=me([r,e],o),s=r<=e?r:e;for(let i=0;i`Error in localResponseNormalization: x must be rank 3 or 4 but got + rank ${s.rank}.`),$(Ba(e),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${e}.`);let a=s,i=!1;s.rank===3&&(i=!0,a=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let p={x:a},u={depthRadius:e,bias:t,alpha:o,beta:n},c=T.runKernel(Mn,p,u);return i?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var u2=N({localResponseNormalization_:qH});function jH(r){let t={x:v(r,"x","log","float32")};return T.runKernel(Dn,t)}var ni=N({log_:jH});function XH(r){let t={x:v(r,"x","log1p")};return T.runKernel(An,t)}var Sd=N({log1p_:XH});function YH(r){return $(Ws(r),()=>"The f passed in grad(f) must be a function"),(e,t)=>{let o=v(e,"x","tf.grad","string_or_numeric"),n=t!=null?v(t,"dy","tf.grad"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(o),[o],n);return n!=null&&xt(s.shape,n.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Id(a),a[0]})}}function QH(r){return $(Ws(r),()=>"The f passed in grads(f) must be a function"),(e,t)=>{$(Array.isArray(e),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let o=Ja(e,"args","tf.grads","string_or_numeric"),n=t!=null?v(t,"dy","tf.grads"):null;return T.tidy(()=>{let{value:s,grads:a}=T.gradients(()=>r(...o),o,n);return n!=null&&xt(s.shape,n.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Id(a),a})}}function ZH(r){return $(Ws(r),()=>"The f passed in valueAndGrad(f) must be a function"),(e,t)=>{$(e instanceof pt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),$(t==null||t instanceof pt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:o,value:n}=T.gradients(()=>r(e),[e],t);return Id(o),{grad:o[0],value:n}}}function JH(r){return $(Ws(r),()=>"The f passed in valueAndGrads(f) must be a function"),(e,t)=>{$(Array.isArray(e)&&e.every(n=>n instanceof pt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),$(t==null||t instanceof pt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let o=T.gradients(()=>r(...e),e,t);return t!=null&&xt(o.value.shape,t.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Id(o.grads),o}}function vw(r,e){$(Ws(r),()=>"The f passed in variableGrads(f) must be a function"),$(e==null||Array.isArray(e)&&e.every(u=>u instanceof Qa),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let t=e!=null;if(!t){e=[];for(let u in T.registeredVariables)e.push(T.registeredVariables[u])}let o=t?e.filter(u=>!u.trainable):null,n=e.length;e=e.filter(u=>u.trainable),$(e.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${n} variables is trainable.`);let s=!0,{value:a,grads:i}=T.gradients(r,e,null,s);$(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),$(a.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${a.rank} tensor`);let p={};return e.forEach((u,c)=>{i[c]!=null&&(p[u.name]=i[c])}),o!=null&&o.forEach(u=>p[u.name]=null),{value:a,grads:p}}function Ir(r){return T.customGrad(r)}function Id(r){if(r.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that + the f you passed encloses all operations that lead from x to y.`)}function eK(r){let t={x:v(r,"x","neg")};return T.runKernel(oa,t)}var pr=N({neg_:eK});function tK(r){let t={x:v(r,"x","softplus")};return T.runKernel(gs,t)}var vd=N({softplus_:tK});function rK(r){let e=v(r,"x","logSigmoid");return Ir(o=>({value:pr(vd(pr(o))),gradFunc:a=>se(a,wa(pr(o)))}))(e)}var p2=N({logSigmoid_:rK});function oK(r,e){let t=v(r,"a","sub"),o=v(e,"b","sub");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Is,n)}var Te=N({sub_:oK});function nK(r,e=-1){let t=v(r,"logits","logSoftmax");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and axis was ${e}`);return Ir((n,s)=>{let i=Ia(n,e,!0),p=Te(n,i),u=Te(Ye(p,"float32"),ni(ot(ko(p),e,!0)));return s([u]),{value:u,gradFunc:(l,m)=>{let[d]=m,f=!0,h=ko(d);return Te(l,se(ot(l,e,f),h))}}})(t)}var c2=N({logSoftmax_:nK});function sK(r,e=null,t=!1){let o=v(r,"x","logSumExp"),n=vi(e,o.shape),s=Ia(o,n,!0),a=Te(o,s),i=ko(a),p=ot(i,n),u=ni(p),c=be(W(s,u.shape),u);if(t){let l=ti(c.shape,n);return W(c,l)}return c}var kd=N({logSumExp_:sK});function aK(r,e){let t=v(r,"a","logicalAnd","bool"),o=v(e,"b","logicalAnd","bool");rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Fn,n)}var zu=N({logicalAnd_:aK});function iK(r){let t={x:v(r,"x","logicalNot","bool")};return T.runKernel(Pn,t)}var Nd=N({logicalNot_:iK});function uK(r,e){let t=v(r,"a","logicalOr","bool"),o=v(e,"b","logicalOr","bool");rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(On,n)}var Td=N({logicalOr_:uK});function pK(r,e){let t=v(r,"a","logicalXor","bool"),o=v(e,"b","logicalXor","bool");return rt(t.shape,o.shape),zu(Td(r,e),Nd(zu(r,e)))}var l2=N({logicalXor_:pK});var _d=2147483648;function cK(r,e,t="left"){let o=v(r,"sortedSequence","searchSorted"),n=v(e,"values","searchSorted"),s=o.shape[o.shape.length-1],a=n.shape[n.shape.length-1],i=W(o,[-1,s]),p=W(n,[-1,a]);if(i.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(i.shape[0]!==p.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Ue(p.shape)>=_d)throw new Error(`values tensor size must less than ${_d}`);if(i.shape[1]>=_d)throw new Error(`trailing dim_size must less than ${_d} for int32 output type, was ${i.shape[1]}`);let u={sortedSequence:i,values:p},c={side:t};return T.runKernel(ls,u,c)}var Nl=N({searchSorted_:cK});function m2(r,e){return Nl(r,e,"left")}function lK(r,e,t,o,n){let s=v(r,"x","maxPool"),a=1,i=s,p=!1;s.rank===3&&(p=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),$(i.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${i.rank}.`),$(gr(t,a),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${t} and dilations '${a}'`),Lt("maxPool",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n},l=T.runKernel(zn,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var $d=N({maxPool_:lK});function mK(r,e=[1,1,1],t,o,n,s="NDHWC"){let a=v(r,"x","maxPool3d"),i=a,p=!1;a.rank===4&&(p=!0,i=W(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),$(i.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${i.rank}.`),$(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Lt("maxPool3d",o,n);let u={x:i},c={filterSize:e,strides:t,pad:o,dimRoundingMode:n,dataFormat:s},l=T.runKernel(ra,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3],l.shape[4]]):l}var d2=N({maxPool3d_:mK});function dK(r,e,t,o,n=!1){let a={x:v(r,"x","maxPoolWithArgmax")},i={filterSize:e,strides:t,pad:o,includeBatchInIndex:n},p=T.runKernel(Bi,a,i);return{result:p[0],indexes:p[1]}}var f2=N({maxPoolWithArgmax_:dK});function fK(r,e){let t=v(r,"a","maximum"),o=v(e,"b","maximum");[t,o]=Oe(t,o),t.dtype==="bool"&&(t=Ye(t,"int32"),o=Ye(o,"int32")),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Bn,n)}var Ed=N({maximum_:fK});function hK(r,e=null,t=!1){let n={x:v(r,"x","mean")},s={axis:e,keepDims:t};return T.runKernel(Vn,n,s)}var Vu=N({mean_:hK});function Wr(r,e="float32"){if(Ct(r),e==="complex64"){let o=Wr(r,"float32"),n=Wr(r,"float32");return $r(o,n)}let t=Up(Ue(r),e);return T.makeTensor(t,r,e)}function va(r,e="float32"){if(Ct(r),e==="complex64"){let o=va(r,"float32"),n=Wr(r,"float32");return $r(o,n)}let t=pl(Ue(r),e);return T.makeTensor(t,r,e)}function h2(r,e,{indexing:t="xy"}={}){if(t!=="xy"&&t!=="ij")throw new TypeError(`${t} is not a valid third argument to meshgrid`);if(r===void 0)return[];let o=v(r,"x","meshgrid",r instanceof pt?r.dtype:"float32");if(e===void 0)return[o];let n=v(e,"y","meshgrid",e instanceof pt?e.dtype:"float32"),s=Ue(o.shape),a=Ue(n.shape);return t==="xy"?(o=W(o,[1,-1]),n=W(n,[-1,1]),[Qe(va([a,1],o.dtype),o),Qe(n,va([1,s],n.dtype))]):(o=W(o,[-1,1]),n=W(n,[1,-1]),[Qe(o,va([1,a],o.dtype)),Qe(va([s,1],n.dtype),n)])}function gK(r,e){let t=v(r,"a","minimum"),o=v(e,"b","minimum");[t,o]=Oe(t,o),t.dtype==="bool"&&(t=Ye(t,"int32"),o=Ye(o,"int32")),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(Un,n)}var Wu=N({minimum_:gK});function xK(r,e,t){$(t==="reflect"||t==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${t}.`);let o=v(r,"x","mirrorPad");if(o.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");$(e.length===o.rank,()=>`Padding doesn't match input. Must be ${o.rank}. Got ${e.length}.`);let n=t==="reflect"?1:0;for(let i=0;i"Invalid number of paddings. Must be length of 2 each."),$(e[i][0]>=0&&e[i][0]<=o.shape[i]-n&&e[i][1]>=0&&e[i][1]<=o.shape[i]-n,()=>`Padding in dimension ${i} cannot be greater than or equal to ${o.shape[i]-n} or less than 0 for input of shape ${o.shape}`);let s={paddings:e,mode:t},a={x:o};return T.runKernel(Gn,a,s)}var g2=N({mirrorPad_:xK});function yK(r,e){let t=v(r,"a","mod"),o=v(e,"b","mod");[t,o]=Oe(t,o);let n={a:t,b:o};return T.runKernel(Ga,n)}var x2=N({mod_:yK});function bK(r,e=null,t=!1){r=v(r,"x","moments");let o=vi(e,r.shape),n=Vu(r,o,t),s=n.shape;t||(s=ti(n.shape,o));let a=Jt(Te(Ye(r,"float32"),W(n,s))),i=Vu(a,o,t);return{mean:n,variance:i}}var y2=N({moments_:bK});function CK(r,e,t,o){let n=v(e,"data","multiRNNCell"),s=Ja(t,"c","multiRNNCell"),a=Ja(o,"h","multiRNNCell"),i=n,p=[];for(let l=0;l2)throw new Error(`Rank of probabilities must be 1 or 2, but is ${a}`);t=t||Math.random();let p={logits:a===1?W(n,[1,-1]):n},u={numSamples:e,seed:t,normalized:o},c=T.runKernel(Hn,p,u);return a===1?W(c,[c.size]):c}var C2=N({multinomial_:wK});function SK(r,e){let t=v(r,"a","notEqual","string_or_numeric"),o=v(e,"b","notEqual","string_or_numeric");[t,o]=Oe(t,o),rt(t.shape,o.shape);let n={a:t,b:o};return T.runKernel(qn,n)}var Rd=N({notEqual_:SK});function IK(r,e,t=1,o=0,n="int32"){if(e<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${e}`);let a={indices:v(r,"indices","oneHot","int32")},i={dtype:n,depth:e,onValue:t,offValue:o};return T.runKernel(Yn,a,i)}var Tl=N({oneHot_:IK});function vK(r){let t={x:v(r,"x","onesLike")};return T.runKernel(na,t)}var w2=N({onesLike_:vK});function kK(r,e){let t=v(r,"v1","outerProduct"),o=v(e,"v2","outerProduct");$(t.rank===1&&o.rank===1,()=>`Error in outerProduct: inputs must be rank 1, but got ranks ${t.rank} and ${o.rank}.`);let n=W(t,[-1,1]),s=W(o,[1,-1]);return Qe(n,s)}var S2=N({outerProduct_:kK});function NK(r,e,t=0){let o=v(r,"x","pad");if(o.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");let n={paddings:e,constantValue:t},s={x:o};return T.runKernel(Qn,s,n)}var ka=N({pad_:NK});function TK(r,e,t=0){return $(e.length===2,()=>"Invalid number of paddings. Must be length of 2."),ka(r,[e],t)}var I2=N({pad1d_:TK});function _K(r,e,t=0){return $(e.length===2&&e[0].length===2&&e[1].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ka(r,e,t)}var v2=N({pad2d_:_K});function $K(r,e,t=0){return $(e.length===3&&e[0].length===2&&e[1].length===2&&e[2].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ka(r,e,t)}var k2=N({pad3d_:$K});function EK(r,e,t=0){return $(e.length===4&&e[0].length===2&&e[1].length===2&&e[2].length===2&&e[3].length===2,()=>"Invalid number of paddings. Must be length of 2 each."),ka(r,e,t)}var N2=N({pad4d_:EK});function RK(r,e,t){let o=v(r,"x","spaceToBatchND");$(o.rank>=1+e.length,()=>`input rank ${o.rank} should be > than [blockShape] ${e.length}`),$(t.length===e.length,()=>`paddings.shape[0] ${t.length} must be equal to [blockShape] ${e.length}`),$(o.shape.reduce((a,i,p)=>p>0&&p<=e.length?a&&(i+t[p-1][0]+t[p-1][1])%e[p-1]===0:a,!0),()=>`input spatial dimensions ${o.shape.slice(1)} with paddings ${t.toString()} must be divisible by blockShapes ${e.toString()}`);let n={x:o},s={blockShape:e,paddings:t};return T.runKernel(ca,n,s)}var Dd=N({spaceToBatchND_:RK});function DK(r,e,t,o,n,s,a){n==null&&(n=[1,1]),s==null&&(s=1),o===0&&(o="valid");let i=v(r,"x","maxPool"),p=i,u=!1;i.rank===3&&(u=!0,p=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),$(gr(s,n),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${s} and dilations '${n}'`);let c=ww(p.shape,e,s,n,o),l=[c.dilationHeight,c.dilationWidth],m;o==="same"?m=FK([c.filterHeight,c.filterWidth],l):m=[[0,0],[0,0]];let d=l[0]===1&&l[1]===1,[f,h]=AK([c.inHeight,c.inWidth],l,m),g=d?o:"valid",x=d?p:Dd(p,l,f),w=(t==="avg"?()=>cd(x,e,s,g,a):()=>$d(x,e,s,g,a))(),S=d?w:ld(w,l,h);return u?W(S,[S.shape[1],S.shape[2],S.shape[3]]):S}function AK(r,e,t){let o=t.map(c=>c[0]),n=t.map(c=>c[1]),s=r.concat(o,n),a=e.map((c,l)=>(c-s[l]%c)%c),i=n.map((c,l)=>c+a[l]),p=e.map((c,l)=>[o[l],i[l]]),u=e.map((c,l)=>[0,a[l]]);return[p,u]}function FK(r,e){let o=r.map((a,i)=>a+(a-1)*(e[i]-1)).map(a=>a-1),n=o.map(a=>Math.floor(a/2)),s=o.map((a,i)=>a-n[i]);return o.map((a,i)=>[n[i],s[i]])}var T2=N({pool_:DK});function PK(r,e){let t=v(r,"x","prelu"),o=v(e,"alpha","prelu"),n={x:t,alpha:o};return T.runKernel(Jn,n)}var Ad=N({prelu_:PK});function OK(r,e=null,t=!1){let o=v(r,"x","prod");o.dtype==="bool"&&(o=Ye(o,"int32"));let n={x:o},s={axis:e,keepDims:t};return T.runKernel(es,n,s)}var _2=N({prod_:OK});function MK(r,e,t,o){let n=r.map((c,l)=>v(c,`tensors${l}`,"raggedGather","int32")),s=v(e,"paramsDenseValues","raggedGather"),a=v(t,"indices","raggedGather","int32"),i={paramsNestedSplits:n,paramsDenseValues:s,indices:a},p={outputRaggedRank:o},u=T.runKernel(Kp,i,p);return{outputNestedSplits:u.slice(0,u.length-1),outputDenseValues:u[u.length-1]}}var $2=N({raggedGather_:MK});function LK(r,e,t){let o=v(r,"starts","raggedRange"),n=v(e,"limits","raggedRange",o.dtype),s=v(t,"deltas","raggedRange",o.dtype),a={starts:o,limits:n,deltas:s},i=T.runKernel(qp,a);return{rtNestedSplits:i[0],rtDenseValues:i[1]}}var E2=N({raggedRange_:LK});function BK(r,e,t,o,n){let s=v(r,"shape","raggedTensorToTensor","int32"),a=v(e,"values","raggedTensorToTensor"),i=v(t,"defaultValue","raggedTensorToTensor",a.dtype),p=o.map((l,m)=>v(l,`tensors${m}`,"raggedTensorToTensor","int32")),u={shape:s,values:a,defaultValue:i,rowPartitionTensors:p},c={rowPartitionTypes:n};return T.runKernel(jp,u,c)}var R2=N({raggedTensorToTensor_:BK});function zK(r,e,t){Ct(r);let o=Ue(r),n=null;if(t==null||t==="float32")n=new Float32Array(o);else if(t==="int32")n=new Int32Array(o);else if(t==="bool")n=new Uint8Array(o);else throw new Error(`Unknown data type ${t}`);for(let s=0;sX2,createVideoElement:()=>JK,encodeStrings:()=>Q2,expectArrayBuffersEqual:()=>ZK,expectArraysClose:()=>jK,expectArraysEqual:()=>YK,expectNumbersClose:()=>Y2,expectPromiseToFail:()=>XK,expectValuesInRange:()=>QK,play:()=>eq,testEpsilon:()=>Pd});var qK=.001,X2=.1;function jK(r,e,t){return t==null&&(t=Pd()),Dw(r,e,(o,n)=>Aw(o,n,t))}function Pd(){return T.backend.floatPrecision()===32?qK:X2}function Dw(r,e,t){let o=!0;if((Pt(r)||Pt(e))&&(o=!1),Pt(r)&&Pt(e)&&(o=!0),o){let a=r.constructor.name,i=e.constructor.name;if(a!==i)throw new Error(`Arrays are of different type. Actual: ${a}. Expected: ${i}`)}if(Array.isArray(r)&&Array.isArray(e)){let a=ar(r),i=ar(e);if(!br(a,i))throw new Error(`Arrays have different shapes. Actual: [${a}]. Expected: [${i}]`)}let n=Pt(r)?r:Es(r),s=Pt(e)?e:Es(e);if(n.length!==s.length)throw new Error(`Arrays have different lengths actual: ${n.length} vs expected: ${s.length}. Actual: ${n}. Expected: ${s}.`);for(let a=0;ae.fail(),()=>e()),typeof expect!="undefined"&&expect().nothing()}function H4(r,e){let t=typeof e=="string"||typeof e=="number"||typeof e=="boolean"?[e]:e;return Oo(r)||Oo(r[0])||Oo(e)||Oo(e[0])?xC(r,t,(o,n)=>o==n):xC(r,e,(o,n)=>yC(o,n,0))}function Rk(r,e,t){if(t==null&&(t=bd()),!yC(r,e,t))throw new Error(`Numbers differ: actual === ${r}, expected === ${e}`);typeof expect!="undefined"&&expect().nothing()}function yC(r,e,t){return!isFinite(r)&&!isFinite(e)?!0:!(isNaN(r)||isNaN(e)||Math.abs(r-e)>t)}function K4(r,e,t){for(let o=0;ot)throw new Error(`Value out of range:${r[o]} low: ${e}, high: ${t}`)}function q4(r,e){let t=new Float32Array(r),o=new Float32Array(e);if(t.length!==o.length)throw new Error(`Expected ArrayBuffer to be of length ${o.length}, but it was ${t.length}`);for(let n=0;n{e.addEventListener("loadeddata",o=>t(e)),e.load()})}async function X4(r){await r.play(),"requestVideoFrameCallback"in r&&await new Promise(e=>{r.requestVideoFrameCallback(e)})}var mu=class{constructor(e,t,o,n,s){this.mean=e,this.stdDev=t,this.dtype=o,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let a=s||Math.random();this.random=wd.alea(a.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,o=!1;for(;!o;){let n,s,a;do n=2*this.random()-1,s=2*this.random()-1,a=n*n+s*s;while(a>=1||a===0);let i=Math.sqrt(-2*Math.log(a)/a);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*s*i,(!this.truncated||this.isValidTruncated(e))&&(o=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},Cd=class{constructor(e,t,o,n){this.alpha=e,this.beta=1/t,this.dtype=o;let s=n||Math.random();this.randu=wd.alea(s.toString()),this.randn=new mu(0,1,o,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,o,n,s,a;for(;;){do n=this.randn.nextValue(),a=1+this.c*n;while(a<=0);if(a*=a*a,e=n*n,t=1-.331*e*e,o=.5*e+this.d*(1-a+Math.log(a)),s=this.randu(),sthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=o,n==null&&(n=Math.random()),typeof n=="number"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=wd.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function Y4(r,e,t=1,o="float32",n){if(bt(r),t==null&&(t=1),o==null&&(o="float32"),o!=="float32"&&o!=="int32")throw new Error(`Unsupported data type ${o}`);let s=new Cd(e,t,o,n),a=le(r,o);for(let i=0;i`Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`),no(e,0)}var Lk=N({reverse1d_:sG});function aG(r,e){let t=v(r,"x","reverse");return $(t.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${t.rank}.`),no(t,e)}var Bk=N({reverse2d_:aG});function iG(r,e){let t=v(r,"x","reverse");return $(t.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${t.rank}.`),no(t,e)}var Vk=N({reverse3d_:iG});function uG(r,e){let t=v(r,"x","reverse");return $(t.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${t.rank}.`),no(t,e)}var zk=N({reverse4d_:uG});function pG(r){let t={x:v(r,"x","round")};return T.runKernel(Vn,t)}var Nd=N({round_:pG});function cG(r){let t={x:v(r,"x","rsqrt","float32")};return T.runKernel(zn,t)}var Wk=N({rsqrt_:cG});function lG(r){let t={x:v(r,"x","selu")};return T.runKernel(Ca,t)}var Uk=N({selu_:lG});function mG(r,e,t,o,n,s=[1,1],a="NHWC"){let i=v(r,"x","separableConv2d"),p=v(e,"depthwiseFilter","separableConv2d"),u=v(t,"pointwiseFilter","separableConv2d"),c=i,l=!1;if(i.rank===3&&(l=!0,c=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),a==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),$(p.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let m=p.shape[2],d=p.shape[3];$(u.shape[2]===m*d,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*d}, but got ${u.shape[2]}.`);let f=Bp(c,p,o,n,a,s),g=Ei(f,u,1,"valid",a);return l?W(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var Gk=N({separableConv2d_:mG});async function dG(r,e){let t=v(r,"x","setdiff1d"),o=v(e,"y","setdiff1d");$(t.dtype===o.dtype,()=>`x and y should have the same dtype, but got x (${t.dtype}) and y (${o.dtype}).`),$(t.rank===1,()=>`x should be 1D tensor, but got x (${t.shape}).`),$(o.rank===1,()=>`y should be 1D tensor, but got y (${o.shape}).`);let n=await t.data(),s=await o.data(),a=new Set(s),i=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`),Ke(o,[e],[t])}var Xk=N({slice1d_:xG});function yG(r,e,t){let o=v(r,"x","slice2d");return $(o.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Yk=N({slice2d_:yG});function bG(r,e,t){let o=v(r,"x","slice3d");return $(o.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Qk=N({slice3d_:bG});function CG(r,e,t){let o=v(r,"x","slice4d");return $(o.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`),Ke(o,e,t)}var Zk=N({slice4d_:CG});function SG(r,e=-1){let t=v(r,"logits","softmax","float32");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and dim was ${e}`);let o={logits:t},n={dim:e};return T.runKernel(qn,o,n)}var Jk=N({softmax_:SG});function wG(r){$(r.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(ui,e)}var zp=N({fft_:wG});function IG(r){$(r.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(pi,e)}var du=N({ifft_:IG});function vG(r){let e=r.shape[r.shape.length-1],t=r.size/e,o;if(e<=2){let n=W(r,[t,e]);o=du(n)}else{let n=[t,2*(e-1)],s=W(Fa(r),[t,e]),a=W(Ri(r),[t,e]),i=no(Ke(s,[0,1],[t,e-2]),1),p=ne(no(Ke(a,[0,1],[t,e-2]),1),Ce(-1)),u=xt([s,i],1),c=xt([a,p],1),l=W(Tr(u,c),[n[0],n[1]]);o=du(l)}if(o=Fa(o),r.rank===3&&r.shape[0]!==0){let n=o,s=r.shape[0];o=W(o,[s,o.shape[0]/s,o.shape[1]]),n.dispose()}return o}var Td=N({irfft_:vG});function kG(r,e,t=0){let n={x:v(r,"x","split")},s={numOrSizeSplits:e,axis:t};return T.runKernel(Rs,n,s)}var Oa=N({split_:kG});function NG(r,e){$(r.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let t=r.shape[r.shape.length-1],o=r.size/t,n;if(e!=null&&e0),h=r.shape.map(g=>g);h[r.shape.length-1]=e,n=Ke(r,f,h),t=e}else if(e!=null&&e>t){let f=r.shape.map(h=>h);f[r.shape.length-1]=e-t,n=xt([r,Br(f)],r.shape.length-1),t=e}else n=r;let s=Ut(n),a=W(Tr(n,s),[o,t]),i=zp(a),p=Math.floor(t/2)+1,u=Fa(i),c=Ri(i),l=Oa(u,[p,t-p],u.shape.length-1),m=Oa(c,[p,t-p],c.shape.length-1),d=n.shape.slice();return d[n.shape.length-1]=p,W(Tr(l[0],m[0]),d)}var Wp=N({rfft_:NG});function TG(r,e){let t=v(r,"a","squaredDifference"),o=v(e,"b","squaredDifference");[t,o]=De(t,o),Je(t.shape,o.shape);let n={a:t,b:o},s={};return T.runKernel(jn,n,s)}var _d=N({squaredDifference_:TG});function _G(r,e){let t=v(r,"x","squeeze","string_or_numeric");return W(t,bb(t.shape,e).newShape)}var Up=N({squeeze_:_G});function $G(r,e=0){let t=_a(r,"tensors","stack","string_or_numeric");$(t.length>=1,()=>"Pass at least one tensor to tf.stack"),t.length>0&&$(e<=t[0].rank,()=>"Axis must be <= rank of the tensor");let o=t,n={axis:e};return T.runKernel(Ns,o,n)}var Sr=N({stack_:$G});function EG(r,e=0){let o={x:v(r,"x","step")},n={alpha:e};return T.runKernel(fo,o,n)}var $d=N({step_:EG});function AG(r,e,t,o,n=0,s=0,a=0,i=0,p=0){let c={x:v(r,"x","stridedSlice","string_or_numeric")},l={begin:e,end:t,strides:o,beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};return T.runKernel(Xn,c,l)}var e1=N({stridedSlice_:AG});function RG(r){let t={x:v(r,"x","tan","float32")};return T.runKernel(Qn,t)}var t1=N({tan_:RG});function dr(r,e){Jr(r);let t=or(r,e);if(t.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return xr(r,null,t,e)}function Oi(r,e,t){if(Jr(r),e!=null&&e.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let o=or(r,t);if(o.length!==2&&o.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return xr(r,e,o,t)}function Ed(r,e,t){if(Jr(r),e!=null&&e.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let o=or(r,t);if(o.length!==3&&o.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return xr(r,e,o,t)}function r1(r,e,t){if(Jr(r),e!=null&&e.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let o=or(r,t);if(o.length!==4&&o.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return xr(r,e,o,t)}function o1(r,e,t){if(Jr(r),e!=null&&e.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let o=or(r,t);if(o.length!==5&&o.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return xr(r,e,o,t)}function n1(r,e,t){if(Jr(r),e!=null&&e.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let o=or(r,t);if(o.length!==6&&o.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return e=e||o,xr(r,e,o,t)}function DG(r,e=1,t=!0){let o=v(r,"x","topk");if(o.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");let n=o.shape[o.shape.length-1];if(e<0)throw new Error(`'k' passed to topk() must be >= 0 but got ${e}`);if(e>n)throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`);let s={x:o},a={k:e,sorted:t},[i,p]=T.runKernel(Jn,s,a);return{values:i,indices:p}}var s1=N({topk_:DG});function FG(r,e=0,t=1,o,n){if(bt(r),o!=null&&o==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new mu(e,t,o,!0,n),a=le(r,o);for(let i=0;i0,()=>"The input tensor must be at least 1D");let o={x:t},n={axis:e},[s,a]=T.runKernel(Np,o,n);return{values:s,indices:a}}var i1=N({unique_:OG});function PG(r,e,t){let o=v(r,"x","unsortedSegmentSum"),n=v(e,"segmentIds","unsortedSegmentSum","int32");$(sa(t),()=>"numSegments must be of dtype int");let s={x:o,segmentIds:n},a={numSegments:t};return T.runKernel(Tp,s,a)}var u1=N({unsortedSegmentSum_:PG});function MG(r,e=0){let t=v(r,"x","unstack","string_or_numeric");$(e>=-t.shape.length&&e`Axis = ${e} is not in [-${t.shape.length}, ${t.shape.length})`);let o={value:t},n={axis:e};return T.runKernel(Fs,o,n)}var so=N({unstack_:MG});function p1(r,e){return ol(r,e,"right")}function c1(r,e=!0,t,o){return T.makeVariable(r,e,t,o)}function Ad(r,e){let t=[];for(let s=0;s0,()=>"mask cannot be scalar"),gt(i.slice(s,s+a),n.shape,"mask's shape must match the first K dimensions of tensor's shape,");let p=1;for(let h=s;hi).reverse()),$(o.rank===e.length,()=>`Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`),e.forEach(a=>{$(a>=0&&a`All entries in 'perm' must be between 0 and ${o.rank-1} but got ${e}`)}),o.rank<=1)return o.clone();let n={x:o},s={perm:e};return o.dtype==="complex64"?Ee(()=>{let a=Fa(o),i=Ri(o);return a=T.runKernel(ro,{x:a},s),i=T.runKernel(ro,{x:i},s),t&&(i=Cr(i)),Tr(a,i)}):T.runKernel(ro,n,s)}var Gp=N({transpose_:zG});function WG(r,e,t,o,n=!0){let s=v(r,"v","movingAverage"),a=v(e,"x","movingAverage"),i=v(t,"decay","movingAverage");Ub(s,a),$(Or(s.shape,a.shape),()=>"Shape mismatch in v and x");let p=Ce(1),u=ke(p,i),c=ne(ke(a,s),u);if(n){$(o!=null,()=>"When using zeroDebias: true, step is required.");let l=v(o,"step","movingAverage");c=He(c,ke(p,Aa(i,l)))}return be(s,c)}var UG=N({movingAverage_:WG});var sl={};Ge(sl,{calculateShapes:()=>l1,validateInput:()=>Dd,validateUpdateShape:()=>bC});function bC(r,e,t){let o=e.rank>1?e.shape[e.rank-1]:1,n=e.rank>1?e.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${t.shape}, indices.shape: ${e.shape}, shape: ${r}, sliceDim: ${o}, and batchDim: ${n}.`;if(t.rank1?e.shape[o-1]:1,s=t.length,a=1;for(let l=n;l2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let n=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(t.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${t.length}, should be: ${s}.`);let a=e.size;if(!(e.rank===0||e.rank===1&&a===n))throw new Error(`sparseValues has incorrect shape ${e.shape}, should be [] or [${n}]`);if(e.dtype!==o.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function qG(r,e,t,o=0){bt(t);let n=v(r,"sparseIndices","sparseToDense","int32"),s=v(e,"sparseValues","sparseToDense","string_or_numeric"),a=v(o,"defaultValue","sparseToDense",s.dtype);m1(n,s,t,a);let i={sparseIndices:n,sparseValues:s,defaultValue:a},p={outputShape:t};return T.runKernel(yi,i,p)}var jG=N({sparseToDense_:qG});function XG(r,e){let t=v(e,"indices","gatherND","int32"),n={params:v(r,"x","gatherND","string_or_numeric"),indices:t};return T.runKernel(an,n)}var YG=N({gatherND_:XG});function d1(r,e){if(e==null)return r.shape.slice();if(Or(r.shape,e))return e;if(r.shape.length===e.length){let t=[];for(let o=0;o`x has to be a floating point tensor since it's going to be scaled, but got a ${n.dtype} tensor instead.`),$(e>=0&&e<1,()=>`rate must be a float in the range [0, 1), but got ${e}.`),e===0)return r instanceof it?n.clone():n;let s=d1(n,t),a=1-e,i=He(td(be(vd(s,0,1,"float32",o),a)),a);return ne(n,i)}var ZG=N({dropout_:QG});function CC(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function al(r,e,t){let o=1-r%2,n=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`),$(o.rank-1===n.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`),gt(o.shape.slice(0,o.shape.length-1),n.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=o.shape[o.shape.length-1];$(t>0&&t<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${t}`);let a=await o.data(),i=await n.data(),[p,u]=[a.length/s,s],c=Cb("bool",p);for(let l=0;lg.value-h.value),c[l]=0;for(let h=0;hh1,depthwiseConv2d:()=>y1,matMul:()=>b1});function tH(r,e,t,o,n,s="NHWC",a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]])),$(i.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${i.shape}.`),$(p.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${p.shape}.`),$(t.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${t}.`);let u=s==="NHWC"?i.shape[3]:i.shape[1],c=s==="NHWC"?p.shape[3]:p.shape[1];$(u===t[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t[2]}.`),$(c===t[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t[3]}).`),Mt("conv2dDerFilter",n,a);let l={x:i,dy:p},m={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,filterShape:t};return T.runKernel(oi,l,m)}var f1=N({conv2DBackpropFilter_:tH});function fu(r,e,t){if(t==null||t==="linear")return r;if(t==="relu")return ne(r,$d(e));throw new Error(`Cannot compute gradient for fused activation ${t}.`)}function hu(r,e){let t=e,o=Qm(r.shape,e.shape);return o.length>0&&(t=et(t,o)),W(t,r.shape)}function gu(r,e,t,o){if(e==="linear")return r;if(e==="relu")return Fi(r);if(e==="elu")return Jm(r);if(e==="relu6")return kd(r);if(e==="prelu")return xd(r,t);if(e==="leakyrelu")return nd(r,o);if(e==="sigmoid")return Ws(r);throw new Error(`Unknown fused activation ${e}.`)}var xu=(r,e)=>!(r>0)||e==="linear";function rH({x:r,filter:e,strides:t,pad:o,dataFormat:n="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p="linear",preluActivationWeights:u,leakyreluAlpha:c}){if(p=p||"linear",xu(T.state.gradientDepth,p)===!1){$(n==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${n} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=Ei(r,e,t,o,n,s,a);return i!=null&&(_=be(_,i)),gu(_,p,u,c)}let l=v(r,"x","conv2d","float32"),m=v(e,"filter","conv2d","float32"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Mt("fused conv2d",o,a);let h=n==="NHWC"?d.shape[3]:d.shape[1];$(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),$(mr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`);let g=au(d.shape,m.shape,t,s,o,a),x;i!=null&&(x=v(i,"bias","fused conv2d"),[x]=De(x,l),n==="NHWC"?Je(g.outShape,x.shape):($(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),$(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(u!=null){let _=u.shape;if($(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)$(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{Je(_,g.outShape)}catch(E){let A=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(A)}b=v(u,"prelu weights","fused conv2d")}let C=(_,E)=>{$(n==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${n} but only NHWC is currently supported.`);let[A,R,D,P]=E,M=fu(_,D,p);$(su(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let L=Ym(R.shape,M,A,t,o),V=f1(R,M,A.shape,t,o),z=[L,V];if(P!=null){let U=hu(P,M);z.push(U)}return z},w={x:d,filter:m,bias:x,preluActivationWeights:b},k={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?br((E,A,R)=>{let D=T.runKernel(go,w,k);return R([A,E,D]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:C}})(d,m):br((E,A,R,D)=>{let P=T.runKernel(go,w,k);return D([A,E,P,R]),f&&(P=W(P,[P.shape[1],P.shape[2],P.shape[3]])),{value:P,gradFunc:C}})(d,m,x)}var h1=N({fusedConv2d_:rH});function oH(r,e,t,o,n,s=[1,1],a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={x:i,dy:p},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,filterShape:t};return T.runKernel(yp,u,c)}var g1=N({depthwiseConv2dNativeBackpropFilter_:oH});function nH(r,e,t,o,n,s=[1,1],a){let i=e,p=!1;e.rank===3&&(p=!0,i=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={dy:i,filter:t},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,inputShape:r},l=T.runKernel(bp,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var x1=N({depthwiseConv2dNativeBackpropInput_:nH});function sH({x:r,filter:e,strides:t,pad:o,dataFormat:n="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p="linear",preluActivationWeights:u,leakyreluAlpha:c}){if(xu(T.state.gradientDepth,p)===!1){let k=Bp(r,e,t,o,n,s,a);return i!=null&&(k=be(k,i)),gu(k,p,u,c)}let l=v(r,"x","depthwiseConv2d","float32"),m=v(e,"filter","depthwiseConv2d","float32"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),$(d.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),$(mr(t,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),Mt("fused depthwiseConv2d",o,a);let h=au(d.shape,m.shape,t,s,o,a,!0),g;i!=null&&(g=v(i,"bias","fused conv2d"),[g]=De(g,l),Je(h.outShape,g.shape));let x;u!=null&&(x=v(u,"prelu weights","fused depthwiseConv2d"));let b=(k,_)=>{$(su(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[E,A,R,D]=_,P=fu(k,R,p),M=x1(A.shape,P,E,t,o,s,a),L=g1(A,P,E.shape,t,o,s,a);if(D!=null){let V=hu(g,P);return[M,L,V]}return[M,L]},C={x:d,filter:m,bias:g,preluActivationWeights:x},w={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?br((_,E,A)=>{let R=T.runKernel(xo,C,w);return A([E,_,R]),f&&(R=W(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:b}})(d,m):br((_,E,A,R)=>{let D=T.runKernel(xo,C,w);return R([E,_,D,A]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:b}})(d,m,g)}var y1=N({fusedDepthwiseConv2d_:sH});function aH({a:r,b:e,transposeA:t=!1,transposeB:o=!1,bias:n,activation:s="linear",preluActivationWeights:a,leakyreluAlpha:i=.2}){if(xu(T.state.gradientDepth,s)===!1){let P=Xe(r,e,t,o);return n!=null&&(P=be(P,n)),gu(P,s,a,i)}let p=v(r,"a","fused matMul"),u=v(e,"b","fused matMul");[p,u]=De(p,u);let c=t?p.shape[p.rank-2]:p.shape[p.rank-1],l=o?u.shape[u.rank-1]:u.shape[u.rank-2],m=t?p.shape[p.rank-1]:p.shape[p.rank-2],d=o?u.shape[u.rank-2]:u.shape[u.rank-1],f=p.shape.slice(0,-2),h=u.shape.slice(0,-2),g=We(f),x=We(h);$(c===l,()=>`Error in fused matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${p.shape} and ${u.shape} and transposeA=${t} and transposeB=${o} must match.`);let C=Je(p.shape.slice(0,-2),u.shape.slice(0,-2)).concat([m,d]),w=t?W(p,[g,c,m]):W(p,[g,m,c]),k=o?W(u,[x,d,l]):W(u,[x,l,d]),_;n!=null&&(_=v(n,"bias","fused matMul"),[_]=De(_,p),Je(C,_.shape));let E;a!=null&&(E=v(a,"prelu weights","fused matMul"));let A=(P,M)=>{let[L,V,z,U]=M,K=fu(W(P,z.shape),z,s),H,q;if(!t&&!o?(H=Xe(K,V,!1,!0),q=Xe(L,K,!0,!1)):!t&&o?(H=Xe(K,V,!1,!1),q=Xe(K,L,!0,!1)):t&&!o?(H=Xe(V,K,!1,!0),q=Xe(L,K,!1,!1)):(H=Xe(V,K,!0,!0),q=Xe(K,L,!0,!0)),n!=null){let Z=hu(U,K);return[H,q,Z]}else return[H,q]},R={a:w,b:k,bias:_,preluActivationWeights:E},D={transposeA:t,transposeB:o,activation:s,leakyreluAlpha:i};return n==null?br((M,L,V)=>{let z=T.runKernel(ho,R,D);return V([M,L,z]),{value:W(z,C),gradFunc:A}})(w,k):br((M,L,V,z)=>{let U=T.runKernel(ho,R,D);return z([M,L,U,V]),{value:W(U,C),gradFunc:A}})(w,k,_)}var b1=N({fusedMatMul_:aH});function iH(r){return al(r,.54,.46)}var C1=N({hammingWindow_:iH});function uH(r){return al(r,.5,.5)}var Fd=N({hannWindow_:uH});function pH(r,e,t,o=!1,n=0){let s=0,a=[];for(;s+e<=r.size;)a.push(Ke(r,s,e)),s+=t;if(o)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&i.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${i.shape}.`),$(p.rank===1&&p.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${i.shape}.`),$(o.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${o.length}.`),$(o[0]>=1&&o[1]>=1,()=>`cropSize must be atleast [1,1], but was ${o}`),$(n==="bilinear"||n==="nearest",()=>`method must be bilinear or nearest, but was ${n}`);let c={image:a,boxes:i,boxInd:p},l={method:n,extrapolationValue:s,cropSize:o};return T.runKernel(Xo,c,l)}var w1=N({cropAndResize_:lH});function mH(r){let e=v(r,"image","flipLeftRight","float32");$(e.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`);let t={image:e};return T.runKernel(rn,t,{})}var I1=N({flipLeftRight_:mH});function dH(r){let e=v(r,"image","grayscaleToRGB"),t=e.rank-1,o=e.shape[t];$(e.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${e.rank}.`),$(o===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${o}.`);let n=new Array(e.rank);return n.fill(1,0,t),n[t]=3,Ai(e,n)}var v1=N({grayscaleToRGB_:dH});function fH(r,e,t=0,o=.5){let n=v(r,"image","rotateWithOffset","float32");$(n.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${n.rank}.`);let s={image:n},a={radians:e,fillValue:t,center:o};return T.runKernel(ts,s,a)}var k1=N({rotateWithOffset_:fH});function wo(r,e,t,o,n,s){o==null&&(o=.5),n==null&&(n=Number.NEGATIVE_INFINITY),s==null&&(s=0);let a=r.shape[0];return t=Math.min(t,a),$(0<=o&&o<=1,()=>`iouThreshold must be in [0, 1], but was '${o}'`),$(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),$(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),$(e.rank===1,()=>"scores must be a 1D tensor"),$(e.shape[0]===a,()=>`scores has incompatible shape with boxes. Expected ${a}, but was ${e.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s}}function hH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,"boxes","nonMaxSuppression","float32"),a=v(e,"scores","nonMaxSuppression","float32"),i=wo(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p={maxOutputSize:t,iouThreshold:o,scoreThreshold:n};return T.runKernel(Tn,{boxes:s,scores:a},p)}var N1=N({nonMaxSuppression_:hH});function T1(r,e,t){let o=gH(r,e,t),n=o<0?-(o+1):o;r.splice(n,0,e)}function gH(r,e,t){return yH(r,e,t||xH)}function xH(r,e){return r>e?1:r>>1);let i=t(e,r[s]);i>0?o=s+1:(n=s,a=!i)}return a?o:-o-1}function Pd(r,e,t,o,n){return wC(r,e,t,o,n,0)}function Md(r,e,t,o,n,s){return wC(r,e,t,o,n,0,!1,s,!0)}function Ld(r,e,t,o,n,s){return wC(r,e,t,o,n,s,!0)}function wC(r,e,t,o,n,s,a=!1,i=!1,p=!1){let u=[];for(let g=0;gn&&u.push({score:e[g],boxIndex:g,suppressBeginIndex:0});u.sort(_1);let c=s>0?-.5/s:0,l=[],m=[];for(;l.length0;){let g=u.pop(),{score:x,boxIndex:b,suppressBeginIndex:C}=g;if(x=C;--k){let _=bH(r,b,l[k]);if(_>=o){w=!0;break}if(g.score=g.score*CH(o,c,_),g.score<=n)break}g.suppressBeginIndex=l.length,w||(g.score===x?(l.push(b),m.push(g.score)):g.score>n&&T1(u,g,_1))}let d=l.length,f=t-d;i&&f>0&&(l.push(...new Array(f).fill(0)),m.push(...new Array(f).fill(0)));let h={selectedIndices:l};return a&&(h.selectedScores=m),p&&(h.validOutputs=d),h}function bH(r,e,t){let o=r.subarray(e*4,e*4+4),n=r.subarray(t*4,t*4+4),s=Math.min(o[0],o[2]),a=Math.min(o[1],o[3]),i=Math.max(o[0],o[2]),p=Math.max(o[1],o[3]),u=Math.min(n[0],n[2]),c=Math.min(n[1],n[3]),l=Math.max(n[0],n[2]),m=Math.max(n[1],n[3]),d=(i-s)*(p-a),f=(l-u)*(m-c);if(d<=0||f<=0)return 0;let h=Math.max(s,u),g=Math.max(a,c),x=Math.min(i,l),b=Math.min(p,m),C=Math.max(x-h,0)*Math.max(b-g,0);return C/(d+f-C)}function CH(r,e,t){let o=Math.exp(e*t*t);return t<=r?o:0}function _1(r,e){return r.score-e.score||r.score===e.score&&e.boxIndex-r.boxIndex}async function SH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,"boxes","nonMaxSuppressionAsync"),a=v(e,"scores","nonMaxSuppressionAsync"),i=wo(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p=await Promise.all([s.data(),a.data()]),u=p[0],c=p[1],{selectedIndices:l}=Pd(u,c,t,o,n);return s!==r&&s.dispose(),a!==e&&a.dispose(),dr(l,"int32")}var $1=SH;function wH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,"boxes","nonMaxSuppression"),i=v(e,"scores","nonMaxSuppression"),p=wo(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u={boxes:a,scores:i},c={maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s},l=T.runKernel(_n,u,c);return{selectedIndices:l[0],selectedScores:l[1]}}var E1=N({nonMaxSuppressionWithScore_:wH});async function IH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,"boxes","nonMaxSuppressionAsync"),i=v(e,"scores","nonMaxSuppressionAsync"),p=wo(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u=await Promise.all([a.data(),i.data()]),c=u[0],l=u[1],{selectedIndices:m,selectedScores:d}=Ld(c,l,t,o,n,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:dr(m,"int32"),selectedScores:dr(d)}}var A1=IH;function vH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,"boxes","nonMaxSuppression"),i=v(e,"scores","nonMaxSuppression"),p=wo(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,m={boxes:a,scores:i},d={maxOutputSize:u,iouThreshold:c,scoreThreshold:l,padToMaxOutputSize:s},f=T.runKernel(ba,m,d);return{selectedIndices:f[0],validOutputs:f[1]}}var R1=N({nonMaxSuppressionPadded_:vH});async function kH(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,"boxes","nonMaxSuppressionAsync"),i=v(e,"scores","nonMaxSuppressionAsync"),p=wo(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,[m,d]=await Promise.all([a.data(),i.data()]),{selectedIndices:f,validOutputs:h}=Md(m,d,u,c,l,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:dr(f,"int32"),validOutputs:Ce(h,"int32")}}var D1=kH;function NH(r,e,t=!1,o=!1){let n=v(r,"images","resizeBilinear");$(n.rank===3||n.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${e}.`),$(o===!1||t===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(Mn,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var F1=N({resizeBilinear_:NH});function TH(r,e,t=!1,o=!1){let n=v(r,"images","resizeNearestNeighbor");$(n.rank===3||n.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${e}.`),$(n.dtype==="float32"||n.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(o===!1||t===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(Pn,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var O1=N({resizeNearestNeighbor_:TH});function _H(r,e="binary",t=!1,o=.5){let n=v(r,"image","threshold"),s=.2989,a=.587,i=.114,p=n.shape[0]*n.shape[1],u=ne(dr([o]),255),c,l,m,d;if($(n.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${n.rank}.`),$(n.shape[2]===3||n.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${n.shape[2]}.`),$(n.dtype==="int32"||n.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${n.dtype}.`),$(e==="otsu"||e==="binary",()=>`Method must be binary or otsu, but was ${e}`),n.shape[2]===3){[c,l,m]=Oa(n,[1,1,1],-1);let g=ne(c,s),x=ne(l,a),b=ne(m,i);d=be(be(g,x),b)}else d=r;if(e==="otsu"){let g=Xm(je(Nd(d),"int32"),nr([]),256);u=$H(g,p)}let f=t?Vp(d,u):uu(d,u);return je(ne(f,255),"int32")}function $H(r,e){let t=dr([-1]),o=dr([0]),n=dr([0]),s,a,i,p,u,c;for(let l=0;l`Error in transform: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&(i.shape[0]===a.shape[0]||i.shape[0]===1)&&i.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let p={image:a,transforms:i},u={interpolation:t,fillMode:o,fillValue:n,outputShape:s};return T.runKernel(es,p,u)}var M1=N({transform_:EH});function AH(r,e,t){$(e%1===0,()=>`bandPart(): numLower must be an integer, got ${e}.`),$(t%1===0,()=>`bandPart(): numUpper must be an integer, got ${t}.`);let o=v(r,"a","bandPart");$(o.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${o.rank}.`);let n=o.shape,[s,a]=o.shape.slice(-2);if(!(e<=s))throw new Error(`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`);if(!(t<=a))throw new Error(`bandPart(): numUpper (${t}) must not be greater than the number of columns (${a}).`);e<0&&(e=s),t<0&&(t=a);let i=W(Di(0,s,1,"int32"),[-1,1]),p=Di(0,a,1,"int32"),u=ke(i,p),c=pu(Vp(u,Ce(+e,"int32")),od(u,Ce(-t,"int32"))),l=Br([s,a],o.dtype);return W(Sr(so(W(o,[-1,s,a])).map(m=>ss(c,m,l))),n)}var L1=N({bandPart_:AH});function RH(r){let e;if(Array.isArray(r)){e=!1,$(r!=null&&r.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let n=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${n})`)}else e=!0,r=Oa(r,r.shape[0],0).map(n=>Up(n,[0]));$(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let t=[],o=r;for(let n=0;n{let s=o[n];if(n>0)for(let a=0;a=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return V1(r,e);{let t=r.shape.slice(0,r.shape.length-2).reduce((p,u)=>p*u),o=so(W(r,[t,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),n=[],s=[];o.forEach(p=>{let[u,c]=V1(p,e);n.push(u),s.push(c)});let a=W(Sr(n,0),r.shape),i=W(Sr(s,0),r.shape);return[a,i]}}function V1(r,e=!1){return T.tidy(()=>{$(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let t=r.shape[0],o=r.shape[1],n=ed(t),s=Lr(r),a=Oi([[1]],[1,1]),i=Lr(a),p=t>=o?o:t;for(let u=0;u{let d=Ke(s,[u,u],[t-u,1]),f=iu(d),h=Ke(s,[u,u],[1,1]),g=ss(uu(h,0),Oi([[-1]]),Oi([[1]])),x=ke(h,ne(g,f)),b=He(d,x);b.shape[0]===1?i=Lr(a):i=xt([a,Ke(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let C=Cr(He(Xe(g,x),f)),w=Ke(s,[u,0],[t-u,o]),k=ne(C,i),_=Gp(i);if(u===0)s=ke(w,Xe(k,Xe(_,w)));else{let R=ke(w,Xe(k,Xe(_,w)));s=xt([Ke(s,[0,0],[u,o]),R],0)}let E=Gp(k),A=Ke(n,[0,u],[t,n.shape[1]-u]);if(u===0)n=ke(A,Xe(Xe(A,i),E));else{let R=ke(A,Xe(Xe(A,i),E));n=xt([Ke(n,[0,0],[t,u]),R],1)}return[i,s,n]}),Ot([c,l,m])}return!e&&t>o&&(n=Ke(n,[0,0],[t,o]),s=Ke(s,[0,0],[o,o])),[n,s]})}var z1=N({qr_:DH});var $t;(function(r){r[r.NONE=0]="NONE",r[r.MEAN=1]="MEAN",r[r.SUM=2]="SUM",r[r.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})($t||($t={}));function FH(r,e,t=$t.SUM_BY_NONZERO_WEIGHTS){let o=v(r,"losses","computeWeightedLoss"),n=null;e!=null&&(n=v(e,"weights","computeWeightedLoss"));let s=n==null?o:ne(o,n);if(t===$t.NONE)return s;if(t===$t.SUM)return et(s);if(t===$t.MEAN){if(n==null)return cu(s);{let a=o.size/n.size,i=He(et(s),et(n));return a>1?He(i,Ce(a)):i}}if(t===$t.SUM_BY_NONZERO_WEIGHTS){if(n==null)return He(et(s),Ce(o.size));{let a=ne(n,Hs(o.shape)),i=je(et(hd(a,Ce(0))),"float32");return He(et(s),i)}}throw Error(`Unknown reduction: ${t}`)}var ar=N({computeWeightedLoss_:FH});function OH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","absoluteDifference"),s=v(e,"predictions","absoluteDifference"),a=null;t!=null&&(a=v(t,"weights","absoluteDifference")),gt(n.shape,s.shape,"Error in absoluteDifference: ");let i=Yt(ke(n,s));return ar(i,a,o)}var W1=N({absoluteDifference_:OH});function PH(r,e,t,o,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","cosineDistance"),a=v(e,"predictions","cosineDistance"),i=null;o!=null&&(i=v(o,"weights","cosineDistance")),gt(s.shape,a.shape,"Error in cosineDistance: ");let p=Ce(1),u=ke(p,et(ne(s,a),t,!0));return ar(u,i,n)}var U1=N({cosineDistance_:PH});function MH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","hingeLoss"),s=v(e,"predictions","hingeLoss"),a=null;t!=null&&(a=v(t,"weights","hingeLoss")),gt(n.shape,s.shape,"Error in hingeLoss: ");let i=Ce(1);n=ke(ne(Ce(2),n),i);let p=Fi(ke(i,ne(n,s)));return ar(p,a,o)}var G1=N({hingeLoss_:MH});function LH(r,e,t,o=1,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","huberLoss"),a=v(e,"predictions","huberLoss"),i=null;t!=null&&(i=v(t,"weights","huberLoss")),gt(s.shape,a.shape,"Error in huberLoss: ");let p=Ce(o),u=Yt(ke(a,s)),c=fd(u,p),l=ke(u,c),m=be(ne(Ce(.5),Qt(c)),ne(p,l));return ar(m,i,n)}var H1=N({huberLoss_:LH});function BH(r,e,t,o=1e-7,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","logLoss"),a=v(e,"predictions","logLoss"),i=null;t!=null&&(i=v(t,"weights","logLoss")),gt(s.shape,a.shape,"Error in logLoss: ");let p=Ce(1),u=Ce(o),c=Cr(ne(s,Da(be(a,u)))),l=ne(ke(p,s),Da(be(ke(p,a),u))),m=ke(c,l);return ar(m,i,n)}var K1=N({logLoss_:BH});function VH(r,e,t,o=$t.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","meanSquaredError"),s=v(e,"predictions","meanSquaredError"),a=null;t!=null&&(a=v(t,"weights","meanSquaredError")),gt(n.shape,s.shape,"Error in meanSquaredError: ");let i=_d(n,s);return ar(i,a,o)}var q1=N({meanSquaredError_:VH});function zH(r,e){let t=v(r,"labels","sigmoidCrossEntropyWithLogits"),o=v(e,"logits","sigmoidCrossEntropyWithLogits");gt(t.shape,o.shape,"Error in sigmoidCrossEntropyWithLogits: ");let n=Fi(o),s=ne(o,t),a=sd(So(Cr(Yt(o))));return be(ke(n,s),a)}function WH(r,e,t,o=0,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"multiClassLabels","sigmoidCrossEntropy"),a=v(e,"logits","sigmoidCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","sigmoidCrossEntropy")),gt(s.shape,a.shape,"Error in sigmoidCrossEntropy: "),o>0){let u=Ce(o),c=Ce(1),l=Ce(.5);s=be(ne(s,ke(c,u)),ne(l,u))}let p=zH(s,a);return ar(p,i,n)}var j1=N({sigmoidCrossEntropy_:WH});function UH(r,e,t=-1){if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t}`);return br((n,s,a)=>{let p=ud(s,[t],!0),u=ke(je(s,"float32"),p);a([n,u]);let c=Cr(ne(u,n));return{value:et(c,[t]),gradFunc:(d,f)=>{let[h,g]=f,x=Ea(d.shape,[t]);return[ne(W(d,x),ke(je(h,"float32"),So(g))),ne(W(d,x),ke(So(g),je(h,"float32")))]}}})(r,e)}function GH(r,e,t,o=0,n=$t.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"onehotLabels","softmaxCrossEntropy"),a=v(e,"logits","softmaxCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","softmaxCrossEntropy")),gt(s.shape,a.shape,"Error in softmaxCrossEntropy: "),o>0){let u=Ce(o),c=Ce(1),l=Ce(s.shape[1]);s=be(ne(s,ke(c,u)),He(u,l))}let p=UH(s,a);return ar(p,i,n)}var X1=N({softmaxCrossEntropy_:GH});function HH(r,e,t,o){let n=v(r,"indices","sparseFillEmptyRows","int32"),s=v(e,"values","sparseFillEmptyRows"),a=v(t,"denseShape","sparseFillEmptyRows","int32"),i=v(o,"defaultValue","sparseFillEmptyRows",s.dtype);if(n.rank!==2)throw new Error(`Indices should be Tensor2D but received shape - ${n.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(a.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${a.shape}`);if(i.rank!==0)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);let p={indices:n,values:s,denseShape:a,defaultValue:i},u=T.runKernel(hi,p);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var Y1=N({sparseFillEmptyRows_:HH});function KH(r,e,t){let o=v(r,"inputIndices","sparseReshape","int32"),n=v(e,"inputShape","sparseReshape","int32"),s=v(t,"newShape","sparseReshape","int32");if(o.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape - ${o.shape}`);if(n.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let a={inputIndices:o,inputShape:n,newShape:s},i=T.runKernel(va,a);return{outputIndices:i[0],outputShape:i[1]}}var Q1=N({sparseReshape_:KH});function qH(r,e,t){let o=v(r,"data","sparseSegmentMean"),n=v(e,"indices","sparseSegmentMean","int32"),s=v(t,"segmentIds","sparseSegmentMean","int32");if(o.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape +Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function XK(r,e){r().then(()=>e.fail(),()=>e()),typeof expect!="undefined"&&expect().nothing()}function YK(r,e){let t=typeof e=="string"||typeof e=="number"||typeof e=="boolean"?[e]:e;return Bo(r)||Bo(r[0])||Bo(e)||Bo(e[0])?Dw(r,t,(o,n)=>o==n):Dw(r,e,(o,n)=>Aw(o,n,0))}function Y2(r,e,t){if(t==null&&(t=Pd()),!Aw(r,e,t))throw new Error(`Numbers differ: actual === ${r}, expected === ${e}`);typeof expect!="undefined"&&expect().nothing()}function Aw(r,e,t){return!isFinite(r)&&!isFinite(e)?!0:!(isNaN(r)||isNaN(e)||Math.abs(r-e)>t)}function QK(r,e,t){for(let o=0;ot)throw new Error(`Value out of range:${r[o]} low: ${e}, high: ${t}`)}function ZK(r,e){let t=new Float32Array(r),o=new Float32Array(e);if(t.length!==o.length)throw new Error(`Expected ArrayBuffer to be of length ${o.length}, but it was ${t.length}`);for(let n=0;n{e.addEventListener("loadeddata",o=>t(e)),e.load()})}async function eq(r){await r.play(),"requestVideoFrameCallback"in r&&await new Promise(e=>{r.requestVideoFrameCallback(e)})}var Gu=class{constructor(e,t,o,n,s){this.mean=e,this.stdDev=t,this.dtype=o,this.nextVal=NaN,this.truncated=n,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let a=s||Math.random();this.random=Ld.alea(a.toString())}nextValue(){if(!isNaN(this.nextVal)){let n=this.nextVal;return this.nextVal=NaN,n}let e,t,o=!1;for(;!o;){let n,s,a;do n=2*this.random()-1,s=2*this.random()-1,a=n*n+s*s;while(a>=1||a===0);let i=Math.sqrt(-2*Math.log(a)/a);e=this.mean+this.stdDev*n*i,t=this.mean+this.stdDev*s*i,(!this.truncated||this.isValidTruncated(e))&&(o=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},Od=class{constructor(e,t,o,n){this.alpha=e,this.beta=1/t,this.dtype=o;let s=n||Math.random();this.randu=Ld.alea(s.toString()),this.randn=new Gu(0,1,o,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,o,n,s,a;for(;;){do n=this.randn.nextValue(),a=1+this.c*n;while(a<=0);if(a*=a*a,e=n*n,t=1-.331*e*e,o=.5*e+this.d*(1-a+Math.log(a)),s=this.randu(),sthis.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=o,n==null&&(n=Math.random()),typeof n=="number"&&(n=n.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error(`The difference between ${e} - ${t} <= 1 and dtype is not float`);this.random=Ld.alea(n)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function tq(r,e,t=1,o="float32",n){if(Ct(r),t==null&&(t=1),o==null&&(o="float32"),o!=="float32"&&o!=="int32")throw new Error(`Unsupported data type ${o}`);let s=new Od(e,t,o,n),a=me(r,o);for(let i=0;i`Error in reverse1D: x must be rank 1 but got rank ${e.rank}.`),uo(e,0)}var o1=N({reverse1d_:lq});function mq(r,e){let t=v(r,"x","reverse");return $(t.rank===2,()=>`Error in reverse2D: x must be rank 2 but got rank ${t.rank}.`),uo(t,e)}var n1=N({reverse2d_:mq});function dq(r,e){let t=v(r,"x","reverse");return $(t.rank===3,()=>`Error in reverse3D: x must be rank 3 but got rank ${t.rank}.`),uo(t,e)}var s1=N({reverse3d_:dq});function fq(r,e){let t=v(r,"x","reverse");return $(t.rank===4,()=>`Error in reverse4D: x must be rank 4 but got rank ${t.rank}.`),uo(t,e)}var a1=N({reverse4d_:fq});function hq(r){let t={x:v(r,"x","round")};return T.runKernel(is,t)}var Vd=N({round_:hq});function gq(r){let t={x:v(r,"x","rsqrt","float32")};return T.runKernel(us,t)}var i1=N({rsqrt_:gq});function xq(r){let t={x:v(r,"x","selu")};return T.runKernel(ms,t)}var u1=N({selu_:xq});function yq(r,e,t,o,n,s=[1,1],a="NHWC"){let i=v(r,"x","separableConv2d"),p=v(e,"depthwiseFilter","separableConv2d"),u=v(t,"pointwiseFilter","separableConv2d"),c=i,l=!1;if(i.rank===3&&(l=!0,c=W(i,[1,i.shape[0],i.shape[1],i.shape[2]])),a==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");$(c.rank===4,()=>`Error in separableConv2d: input must be rank 4, but got rank ${c.rank}.`),$(p.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${p.rank}.`),$(u.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${p.rank}.`),$(u.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${u.shape[0]}.`),$(u.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${u.shape[1]}.`);let m=p.shape[2],d=p.shape[3];$(u.shape[2]===m*d,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${m*d}, but got ${u.shape[2]}.`);let f=ac(c,p,o,n,a,s),g=ou(f,u,1,"valid",a);return l?W(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var p1=N({separableConv2d_:yq});async function bq(r,e){let t=v(r,"x","setdiff1d"),o=v(e,"y","setdiff1d");$(t.dtype===o.dtype,()=>`x and y should have the same dtype, but got x (${t.dtype}) and y (${o.dtype}).`),$(t.rank===1,()=>`x should be 1D tensor, but got x (${t.shape}).`),$(o.rank===1,()=>`y should be 1D tensor, but got y (${o.shape}).`);let n=await t.data(),s=await o.data(),a=new Set(s),i=0;for(let c=0;c`slice1d expects a rank-1 tensor, but got a rank-${o.rank} tensor`),qe(o,[e],[t])}var f1=N({slice1d_:Iq});function vq(r,e,t){let o=v(r,"x","slice2d");return $(o.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var h1=N({slice2d_:vq});function kq(r,e,t){let o=v(r,"x","slice3d");return $(o.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var g1=N({slice3d_:kq});function Nq(r,e,t){let o=v(r,"x","slice4d");return $(o.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${o.rank} tensor`),qe(o,e,t)}var x1=N({slice4d_:Nq});function Tq(r,e=-1){let t=v(r,"logits","softmax","float32");if(e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${t.rank} and dim was ${e}`);let o={logits:t},n={dim:e};return T.runKernel(bs,o,n)}var y1=N({softmax_:Tq});function _q(r){$(r.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(Pi,e)}var pc=N({fft_:_q});function $q(r){$(r.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${r.dtype}.`);let e={input:r};return T.runKernel(Oi,e)}var Hu=N({ifft_:$q});function Eq(r){let e=r.shape[r.shape.length-1],t=r.size/e,o;if(e<=2){let n=W(r,[t,e]);o=Hu(n)}else{let n=[t,2*(e-1)],s=W(si(r),[t,e]),a=W(su(r),[t,e]),i=uo(qe(s,[0,1],[t,e-2]),1),p=se(uo(qe(a,[0,1],[t,e-2]),1),ke(-1)),u=yt([s,i],1),c=yt([a,p],1),l=W($r(u,c),[n[0],n[1]]);o=Hu(l)}if(o=si(o),r.rank===3&&r.shape[0]!==0){let n=o,s=r.shape[0];o=W(o,[s,o.shape[0]/s,o.shape[1]]),n.dispose()}return o}var Wd=N({irfft_:Eq});function Rq(r,e,t=0){let n={x:v(r,"x","split")},s={numOrSizeSplits:e,axis:t};return T.runKernel(la,n,s)}var ai=N({split_:Rq});function Dq(r,e){$(r.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${r.dtype}`);let t=r.shape[r.shape.length-1],o=r.size/t,n;if(e!=null&&e0),h=r.shape.map(g=>g);h[r.shape.length-1]=e,n=qe(r,f,h),t=e}else if(e!=null&&e>t){let f=r.shape.map(h=>h);f[r.shape.length-1]=e-t,n=yt([r,Wr(f)],r.shape.length-1),t=e}else n=r;let s=Ht(n),a=W($r(n,s),[o,t]),i=pc(a),p=Math.floor(t/2)+1,u=si(i),c=su(i),l=ai(u,[p,t-p],u.shape.length-1),m=ai(c,[p,t-p],c.shape.length-1),d=n.shape.slice();return d[n.shape.length-1]=p,W($r(l[0],m[0]),d)}var cc=N({rfft_:Dq});function Aq(r,e){let t=v(r,"a","squaredDifference"),o=v(e,"b","squaredDifference");[t,o]=Oe(t,o),rt(t.shape,o.shape);let n={a:t,b:o},s={};return T.runKernel(ws,n,s)}var Ud=N({squaredDifference_:Aq});function Fq(r,e){let t=v(r,"x","squeeze","string_or_numeric");return W(t,MC(t.shape,e).newShape)}var lc=N({squeeze_:Fq});function Pq(r,e=0){let t=Ja(r,"tensors","stack","string_or_numeric");$(t.length>=1,()=>"Pass at least one tensor to tf.stack"),t.length>0&&$(e<=t[0].rank,()=>"Axis must be <= rank of the tensor");let o=t,n={axis:e};return T.runKernel(sa,o,n)}var vr=N({stack_:Pq});function Oq(r,e=0){let o={x:v(r,"x","step")},n={alpha:e};return T.runKernel(yo,o,n)}var Gd=N({step_:Oq});function Mq(r,e,t,o,n=0,s=0,a=0,i=0,p=0){let c={x:v(r,"x","stridedSlice","string_or_numeric")},l={begin:e,end:t,strides:o,beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};return T.runKernel(Ss,c,l)}var b1=N({stridedSlice_:Mq});function Lq(r){let t={x:v(r,"x","tan","float32")};return T.runKernel(vs,t)}var C1=N({tan_:Lq});function xr(r,e){oo(r);let t=ar(r,e);if(t.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return wr(r,null,t,e)}function uu(r,e,t){if(oo(r),e!=null&&e.length!==2)throw new Error("tensor2d() requires shape to have two numbers");let o=ar(r,t);if(o.length!==2&&o.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return wr(r,e,o,t)}function Hd(r,e,t){if(oo(r),e!=null&&e.length!==3)throw new Error("tensor3d() requires shape to have three numbers");let o=ar(r,t);if(o.length!==3&&o.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return wr(r,e,o,t)}function w1(r,e,t){if(oo(r),e!=null&&e.length!==4)throw new Error("tensor4d() requires shape to have four numbers");let o=ar(r,t);if(o.length!==4&&o.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return wr(r,e,o,t)}function S1(r,e,t){if(oo(r),e!=null&&e.length!==5)throw new Error("tensor5d() requires shape to have five numbers");let o=ar(r,t);if(o.length!==5&&o.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return wr(r,e,o,t)}function I1(r,e,t){if(oo(r),e!=null&&e.length!==6)throw new Error("tensor6d() requires shape to have six numbers");let o=ar(r,t);if(o.length!==6&&o.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(o.length===1&&e==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return e=e||o,wr(r,e,o,t)}var pu={};He(pu,{calculateShapes:()=>v1,validateInput:()=>mc,validateUpdateShape:()=>Fw});function Fw(r,e,t){let o=e.rank>1?e.shape[e.rank-1]:1,n=e.rank>1?e.rank-1:1,s=`Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: ${t.shape}, indices.shape: ${e.shape}, shape: ${r}, sliceDim: ${o}, and batchDim: ${n}.`;if(t.rank1?e.shape[o-1]:1,s=t.length,a=1;for(let l=n;l= 0 but got ${e}`);if(e>n)throw new Error(`'k' passed to topk() must be <= the last dimension (${n}) but got ${e}`);let s={x:o},a={k:e,sorted:t},[i,p]=T.runKernel(Ns,s,a);return{values:i,indices:p}}var N1=N({topk_:zq});function Vq(r,e=0,t=1,o,n){if(Ct(r),o!=null&&o==="bool")throw new Error("Unsupported data type $ { dtype }");let s=new Gu(e,t,o,!0,n),a=me(r,o);for(let i=0;i0,()=>"The input tensor must be at least 1D");let o={x:t},n={axis:e},[s,a]=T.runKernel(qi,o,n);return{values:s,indices:a}}var _1=N({unique_:Wq});function Uq(r,e,t){let o=v(r,"x","unsortedSegmentSum"),n=v(e,"segmentIds","unsortedSegmentSum","int32");$(Ba(t),()=>"numSegments must be of dtype int");let s={x:o,segmentIds:n},a={numSegments:t};return T.runKernel(ji,s,a)}var $1=N({unsortedSegmentSum_:Uq});function Gq(r,e=0){let t=v(r,"x","unstack","string_or_numeric");$(e>=-t.shape.length&&e`Axis = ${e} is not in [-${t.shape.length}, ${t.shape.length})`);let o={value:t},n={axis:e};return T.runKernel(da,o,n)}var po=N({unstack_:Gq});function E1(r,e){return Nl(r,e,"right")}function R1(r,e=!0,t,o){return T.makeVariable(r,e,t,o)}function Kd(r,e){let t=[];for(let s=0;s0,()=>"mask cannot be scalar"),xt(i.slice(s,s+a),n.shape,"mask's shape must match the first K dimensions of tensor's shape,");let p=1;for(let h=s;hi).reverse()),$(o.rank===e.length,()=>`Error in transpose: rank of input ${o.rank} must match length of perm ${e}.`),e.forEach(a=>{$(a>=0&&a`All entries in 'perm' must be between 0 and ${o.rank-1} but got ${e}`)}),o.rank<=1)return o.clone();let n={x:o},s={perm:e};return o.dtype==="complex64"?De(()=>{let a=si(o),i=su(o);return a=T.runKernel(ao,{x:a},s),i=T.runKernel(ao,{x:i},s),t&&(i=pr(i)),$r(a,i)}):T.runKernel(ao,n,s)}var dc=N({transpose_:jq});function Xq(r,e,t,o,n=!0){let s=v(r,"v","movingAverage"),a=v(e,"x","movingAverage"),i=v(t,"decay","movingAverage");nw(s,a),$(br(s.shape,a.shape),()=>"Shape mismatch in v and x");let p=ke(1),u=Te(p,i),c=se(Te(a,s),u);if(n){$(o!=null,()=>"When using zeroDebias: true, step is required.");let l=v(o,"step","movingAverage");c=Ke(c,Te(p,ri(i,l)))}return be(s,c)}var Yq=N({movingAverage_:Xq});function Qq(r,e,t){Ct(t);let o=v(r,"indices","scatterND","int32"),n=v(e,"updates","scatterND");mc(n,o,t);let s={indices:o,updates:n},a={shape:t};return T.runKernel(ps,s,a)}var Zq=N({scatterND_:Qq});function D1(r,e,t,o){if(r.dtype!=="int32")throw new Error(`tf.sparseToDense() expects the indices to be int32 type, but the dtype was ${r.dtype}.`);if(r.rank>2)throw new Error(`sparseIndices should be a scalar, vector, or matrix, but got shape ${r.shape}.`);let n=r.rank>0?r.shape[0]:1,s=r.rank>1?r.shape[1]:1;if(t.length!==s)throw new Error(`outputShape has incorrect number of elements:, ${t.length}, should be: ${s}.`);let a=e.size;if(!(e.rank===0||e.rank===1&&a===n))throw new Error(`sparseValues has incorrect shape ${e.shape}, should be [] or [${n}]`);if(e.dtype!==o.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function e6(r,e,t,o=0){Ct(t);let n=v(r,"sparseIndices","sparseToDense","int32"),s=v(e,"sparseValues","sparseToDense","string_or_numeric"),a=v(o,"defaultValue","sparseToDense",s.dtype);D1(n,s,t,a);let i={sparseIndices:n,sparseValues:s,defaultValue:a},p={outputShape:t};return T.runKernel(Cs,i,p)}var t6=N({sparseToDense_:e6});function r6(r,e){let t=v(e,"indices","gatherND","int32"),n={params:v(r,"x","gatherND","string_or_numeric"),indices:t};return T.runKernel(Sn,n)}var o6=N({gatherND_:r6});function A1(r,e){if(e==null)return r.shape.slice();if(br(r.shape,e))return e;if(r.shape.length===e.length){let t=[];for(let o=0;o`x has to be a floating point tensor since it's going to be scaled, but got a ${n.dtype} tensor instead.`),$(e>=0&&e<1,()=>`rate must be a float in the range [0, 1), but got ${e}.`),e===0)return r instanceof pt?n.clone():n;let s=A1(n,t),a=1-e,i=Ke(yd(be(uc(s,0,1,"float32",o),a)),a);return se(n,i)}var s6=N({dropout_:n6});function Pw(r){return Math.floor(Math.pow(2,Math.ceil(Math.log(r)/Math.log(2))))}function _l(r,e,t){let o=1-r%2,n=new Float32Array(r);for(let s=0;s1,()=>`inTopK() expects the predictions to be of rank 2 or higher, but got ${o.rank}`),$(o.rank-1===n.rank,()=>`predictions rank should be 1 larger than targets rank, but got predictions rank ${o.rank} and targets rank ${n.rank}`),xt(o.shape.slice(0,o.shape.length-1),n.shape,"predictions's shape should be align with the targets' shape, except the last dimension.");let s=o.shape[o.shape.length-1];$(t>0&&t<=s,()=>`'k' passed to inTopK() must be > 0 && <= the predictions last dimension (${s}), but got ${t}`);let a=await o.data(),i=await n.data(),[p,u]=[a.length/s,s],c=LC("bool",p);for(let l=0;lg.value-h.value),c[l]=0;for(let h=0;hP1,depthwiseConv2d:()=>L1,matMul:()=>B1});function u6(r,e,t,o,n,s="NHWC",a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]])),$(i.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${i.shape}.`),$(p.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${p.shape}.`),$(t.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${t}.`);let u=s==="NHWC"?i.shape[3]:i.shape[1],c=s==="NHWC"?p.shape[3]:p.shape[1];$(u===t[2],()=>`Error in conv2dDerFilter: depth of input ${u}) must match input depth in filter (${t[2]}.`),$(c===t[3],()=>`Error in conv2dDerFilter: depth of dy (${c}) must match output depth for filter (${t[3]}).`),Lt("conv2dDerFilter",n,a);let l={x:i,dy:p},m={strides:o,pad:n,dataFormat:s,dimRoundingMode:a,filterShape:t};return T.runKernel($i,l,m)}var F1=N({conv2DBackpropFilter_:u6});function Ku(r,e,t){if(t==null||t==="linear")return r;if(t==="relu")return se(r,Gd(e));throw new Error(`Cannot compute gradient for fused activation ${t}.`)}function qu(r,e){let t=e,o=fd(r.shape,e.shape);return o.length>0&&(t=ot(t,o)),W(t,r.shape)}function ju(r,e,t,o){if(e==="linear")return r;if(e==="relu")return iu(r);if(e==="elu")return gd(r);if(e==="relu6")return zd(r);if(e==="prelu")return Ad(r,t);if(e==="leakyrelu")return wd(r,o);if(e==="sigmoid")return wa(r);throw new Error(`Unknown fused activation ${e}.`)}var Xu=(r,e)=>!(r>0)||e==="linear";function p6({x:r,filter:e,strides:t,pad:o,dataFormat:n="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p="linear",preluActivationWeights:u,leakyreluAlpha:c}){if(p=p||"linear",Xu(T.state.gradientDepth,p)===!1){$(n==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${n} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let _=ou(r,e,t,o,n,s,a);return i!=null&&(_=be(_,i)),ju(_,p,u,c)}let l=v(r,"x","conv2d","float32"),m=v(e,"filter","conv2d","float32"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),Lt("fused conv2d",o,a);let h=n==="NHWC"?d.shape[3]:d.shape[1];$(m.shape[2]===h,()=>`Error in conv2d: depth of input (${h}) must match input depth for filter ${m.shape[2]}.`),$(gr(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`);let g=Mu(d.shape,m.shape,t,s,o,a),x;i!=null&&(x=v(i,"bias","fused conv2d"),[x]=Oe(x,l),n==="NHWC"?rt(g.outShape,x.shape):($(x.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${x.shape.length}.`),$(x.shape.length===0||x.shape[0]===g.outChannels||x.shape[0]===1,()=>`Error in fused conv2d: bias shape (${x.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let b;if(u!=null){let _=u.shape;if($(_.length<=1||_.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${_.length}.`),_.length===1)$(_[0]===1||_[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the number of output channels (${g.outChannels}).`);else if(_.length===3)try{rt(_,g.outShape)}catch(E){let R=`Error in fused conv2d: PReLU activation weights (${_}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(R)}b=v(u,"prelu weights","fused conv2d")}let w=(_,E)=>{$(n==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${n} but only NHWC is currently supported.`);let[R,D,F,O]=E,M=Ku(_,F,p);$(Ou(s),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);let L=dd(D.shape,M,R,t,o),B=F1(D,M,R.shape,t,o),z=[L,B];if(O!=null){let U=qu(O,M);z.push(U)}return z},S={x:d,filter:m,bias:x,preluActivationWeights:b},k={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?Ir((E,R,D)=>{let F=T.runKernel(Co,S,k);return D([R,E,F]),f&&(F=W(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:w}})(d,m):Ir((E,R,D,F)=>{let O=T.runKernel(Co,S,k);return F([R,E,O,D]),f&&(O=W(O,[O.shape[1],O.shape[2],O.shape[3]])),{value:O,gradFunc:w}})(d,m,x)}var P1=N({fusedConv2d_:p6});function c6(r,e,t,o,n,s=[1,1],a){let i=r;r.rank===3&&(i=W(r,[1,r.shape[0],r.shape[1],r.shape[2]]));let p=e;p.rank===3&&(p=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={x:i,dy:p},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,filterShape:t};return T.runKernel(Ei,u,c)}var O1=N({depthwiseConv2dNativeBackpropFilter_:c6});function l6(r,e,t,o,n,s=[1,1],a){let i=e,p=!1;e.rank===3&&(p=!0,i=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]));let u={dy:i,filter:t},c={strides:o,pad:n,dimRoundingMode:a,dilations:s,inputShape:r},l=T.runKernel(Ri,u,c);return p?W(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var M1=N({depthwiseConv2dNativeBackpropInput_:l6});function m6({x:r,filter:e,strides:t,pad:o,dataFormat:n="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:p="linear",preluActivationWeights:u,leakyreluAlpha:c}){if(Xu(T.state.gradientDepth,p)===!1){let k=ac(r,e,t,o,n,s,a);return i!=null&&(k=be(k,i)),ju(k,p,u,c)}let l=v(r,"x","depthwiseConv2d","float32"),m=v(e,"filter","depthwiseConv2d","float32"),d=l,f=!1;l.rank===3&&(f=!0,d=W(l,[1,l.shape[0],l.shape[1],l.shape[2]])),$(d.rank===4,()=>`Error in fused depthwiseConv2d: input must be rank 4, but got rank ${d.rank}.`),$(m.rank===4,()=>`Error in fused depthwiseConv2d: filter must be rank 4, but got rank ${m.rank}.`),$(d.shape[3]===m.shape[2],()=>`Error in fused depthwiseConv2d: number of input channels (${d.shape[3]}) must match the inChannels dimension in filter ${m.shape[2]}.`),s==null&&(s=[1,1]),$(gr(t,s),()=>`Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides ${t} and dilations '${s}'`),Lt("fused depthwiseConv2d",o,a);let h=Mu(d.shape,m.shape,t,s,o,a,!0),g;i!=null&&(g=v(i,"bias","fused conv2d"),[g]=Oe(g,l),rt(h.outShape,g.shape));let x;u!=null&&(x=v(u,"prelu weights","fused depthwiseConv2d"));let b=(k,_)=>{$(Ou(s),()=>`Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '${s}'`);let[E,R,D,F]=_,O=Ku(k,D,p),M=M1(R.shape,O,E,t,o,s,a),L=O1(R,O,E.shape,t,o,s,a);if(F!=null){let B=qu(g,O);return[M,L,B]}return[M,L]},w={x:d,filter:m,bias:g,preluActivationWeights:x},S={strides:t,pad:o,dataFormat:n,dilations:s,dimRoundingMode:a,activation:p,leakyreluAlpha:c};return i==null?Ir((_,E,R)=>{let D=T.runKernel(wo,w,S);return R([E,_,D]),f&&(D=W(D,[D.shape[1],D.shape[2],D.shape[3]])),{value:D,gradFunc:b}})(d,m):Ir((_,E,R,D)=>{let F=T.runKernel(wo,w,S);return D([E,_,F,R]),f&&(F=W(F,[F.shape[1],F.shape[2],F.shape[3]])),{value:F,gradFunc:b}})(d,m,g)}var L1=N({fusedDepthwiseConv2d_:m6});function d6({a:r,b:e,transposeA:t=!1,transposeB:o=!1,bias:n,activation:s="linear",preluActivationWeights:a,leakyreluAlpha:i=.2}){if(Xu(T.state.gradientDepth,s)===!1){let O=Qe(r,e,t,o);return n!=null&&(O=be(O,n)),ju(O,s,a,i)}let p=v(r,"a","fused matMul"),u=v(e,"b","fused matMul");[p,u]=Oe(p,u);let c=t?p.shape[p.rank-2]:p.shape[p.rank-1],l=o?u.shape[u.rank-1]:u.shape[u.rank-2],m=t?p.shape[p.rank-1]:p.shape[p.rank-2],d=o?u.shape[u.rank-2]:u.shape[u.rank-1],f=p.shape.slice(0,-2),h=u.shape.slice(0,-2),g=Ue(f),x=Ue(h);$(c===l,()=>`Error in fused matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${p.shape} and ${u.shape} and transposeA=${t} and transposeB=${o} must match.`);let w=rt(p.shape.slice(0,-2),u.shape.slice(0,-2)).concat([m,d]),S=t?W(p,[g,c,m]):W(p,[g,m,c]),k=o?W(u,[x,d,l]):W(u,[x,l,d]),_;n!=null&&(_=v(n,"bias","fused matMul"),[_]=Oe(_,p),rt(w,_.shape));let E;a!=null&&(E=v(a,"prelu weights","fused matMul"));let R=(O,M)=>{let[L,B,z,U]=M,j=Ku(W(O,z.shape),z,s),H,X;if(!t&&!o?(H=Qe(j,B,!1,!0),X=Qe(L,j,!0,!1)):!t&&o?(H=Qe(j,B,!1,!1),X=Qe(j,L,!0,!1)):t&&!o?(H=Qe(B,j,!1,!0),X=Qe(L,j,!1,!1)):(H=Qe(B,j,!0,!0),X=Qe(j,L,!0,!0)),n!=null){let J=qu(U,j);return[H,X,J]}else return[H,X]},D={a:S,b:k,bias:_,preluActivationWeights:E},F={transposeA:t,transposeB:o,activation:s,leakyreluAlpha:i};return n==null?Ir((M,L,B)=>{let z=T.runKernel(bo,D,F);return B([M,L,z]),{value:W(z,w),gradFunc:R}})(S,k):Ir((M,L,B,z)=>{let U=T.runKernel(bo,D,F);return z([M,L,U,B]),{value:W(U,w),gradFunc:R}})(S,k,_)}var B1=N({fusedMatMul_:d6});function f6(r){return _l(r,.54,.46)}var z1=N({hammingWindow_:f6});function h6(r){return _l(r,.5,.5)}var jd=N({hannWindow_:h6});function g6(r,e,t,o=!1,n=0){let s=0,a=[];for(;s+e<=r.size;)a.push(qe(r,s,e)),s+=t;if(o)for(;s`Error in cropAndResize: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&i.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${u},4] but had shape ${i.shape}.`),$(p.rank===1&&p.shape[0]===u,()=>`Error in cropAndResize: boxInd must be have size [${u}] but had shape ${i.shape}.`),$(o.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${o.length}.`),$(o[0]>=1&&o[1]>=1,()=>`cropSize must be atleast [1,1], but was ${o}`),$(n==="bilinear"||n==="nearest",()=>`method must be bilinear or nearest, but was ${n}`);let c={image:a,boxes:i,boxInd:p},l={method:n,extrapolationValue:s,cropSize:o};return T.runKernel(pn,c,l)}var W1=N({cropAndResize_:y6});function b6(r){let e=v(r,"image","flipLeftRight","float32");$(e.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${e.rank}.`);let t={image:e};return T.runKernel(yn,t,{})}var U1=N({flipLeftRight_:b6});function C6(r){let e=v(r,"image","grayscaleToRGB"),t=e.rank-1,o=e.shape[t];$(e.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${e.rank}.`),$(o===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${o}.`);let n=new Array(e.rank);return n.fill(1,0,t),n[t]=3,nu(e,n)}var G1=N({grayscaleToRGB_:C6});function w6(r,e,t=0,o=.5){let n=v(r,"image","rotateWithOffset","float32");$(n.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${n.rank}.`);let s={image:n},a={radians:e,fillValue:t,center:o};return T.runKernel(_s,s,a)}var H1=N({rotateWithOffset_:w6});function No(r,e,t,o,n,s){o==null&&(o=.5),n==null&&(n=Number.NEGATIVE_INFINITY),s==null&&(s=0);let a=r.shape[0];return t=Math.min(t,a),$(0<=o&&o<=1,()=>`iouThreshold must be in [0, 1], but was '${o}'`),$(r.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${r.rank}'`),$(r.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${r.shape[1]}`),$(e.rank===1,()=>"scores must be a 1D tensor"),$(e.shape[0]===a,()=>`scores has incompatible shape with boxes. Expected ${a}, but was ${e.shape[0]}`),$(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s}}function S6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,"boxes","nonMaxSuppression","float32"),a=v(e,"scores","nonMaxSuppression","float32"),i=No(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p={maxOutputSize:t,iouThreshold:o,scoreThreshold:n};return T.runKernel(jn,{boxes:s,scores:a},p)}var K1=N({nonMaxSuppression_:S6});function q1(r,e,t){let o=I6(r,e,t),n=o<0?-(o+1):o;r.splice(n,0,e)}function I6(r,e,t){return k6(r,e,t||v6)}function v6(r,e){return r>e?1:r>>1);let i=t(e,r[s]);i>0?o=s+1:(n=s,a=!i)}return a?o:-o-1}function Yd(r,e,t,o,n){return Mw(r,e,t,o,n,0)}function Qd(r,e,t,o,n,s){return Mw(r,e,t,o,n,0,!1,s,!0)}function Zd(r,e,t,o,n,s){return Mw(r,e,t,o,n,s,!0)}function Mw(r,e,t,o,n,s,a=!1,i=!1,p=!1){let u=[];for(let g=0;gn&&u.push({score:e[g],boxIndex:g,suppressBeginIndex:0});u.sort(j1);let c=s>0?-.5/s:0,l=[],m=[];for(;l.length0;){let g=u.pop(),{score:x,boxIndex:b,suppressBeginIndex:w}=g;if(x=w;--k){let _=N6(r,b,l[k]);if(_>=o){S=!0;break}if(g.score=g.score*T6(o,c,_),g.score<=n)break}g.suppressBeginIndex=l.length,S||(g.score===x?(l.push(b),m.push(g.score)):g.score>n&&q1(u,g,j1))}let d=l.length,f=t-d;i&&f>0&&(l.push(...new Array(f).fill(0)),m.push(...new Array(f).fill(0)));let h={selectedIndices:l};return a&&(h.selectedScores=m),p&&(h.validOutputs=d),h}function N6(r,e,t){let o=r.subarray(e*4,e*4+4),n=r.subarray(t*4,t*4+4),s=Math.min(o[0],o[2]),a=Math.min(o[1],o[3]),i=Math.max(o[0],o[2]),p=Math.max(o[1],o[3]),u=Math.min(n[0],n[2]),c=Math.min(n[1],n[3]),l=Math.max(n[0],n[2]),m=Math.max(n[1],n[3]),d=(i-s)*(p-a),f=(l-u)*(m-c);if(d<=0||f<=0)return 0;let h=Math.max(s,u),g=Math.max(a,c),x=Math.min(i,l),b=Math.min(p,m),w=Math.max(x-h,0)*Math.max(b-g,0);return w/(d+f-w)}function T6(r,e,t){let o=Math.exp(e*t*t);return t<=r?o:0}function j1(r,e){return r.score-e.score||r.score===e.score&&e.boxIndex-r.boxIndex}async function _6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY){let s=v(r,"boxes","nonMaxSuppressionAsync"),a=v(e,"scores","nonMaxSuppressionAsync"),i=No(s,a,t,o,n);t=i.maxOutputSize,o=i.iouThreshold,n=i.scoreThreshold;let p=await Promise.all([s.data(),a.data()]),u=p[0],c=p[1],{selectedIndices:l}=Yd(u,c,t,o,n);return s!==r&&s.dispose(),a!==e&&a.dispose(),xr(l,"int32")}var X1=_6;function $6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,"boxes","nonMaxSuppression"),i=v(e,"scores","nonMaxSuppression"),p=No(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u={boxes:a,scores:i},c={maxOutputSize:t,iouThreshold:o,scoreThreshold:n,softNmsSigma:s},l=T.runKernel(Xn,u,c);return{selectedIndices:l[0],selectedScores:l[1]}}var Y1=N({nonMaxSuppressionWithScore_:$6});async function E6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=0){let a=v(r,"boxes","nonMaxSuppressionAsync"),i=v(e,"scores","nonMaxSuppressionAsync"),p=No(a,i,t,o,n,s);t=p.maxOutputSize,o=p.iouThreshold,n=p.scoreThreshold,s=p.softNmsSigma;let u=await Promise.all([a.data(),i.data()]),c=u[0],l=u[1],{selectedIndices:m,selectedScores:d}=Zd(c,l,t,o,n,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:xr(m,"int32"),selectedScores:xr(d)}}var Q1=E6;function R6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,"boxes","nonMaxSuppression"),i=v(e,"scores","nonMaxSuppression"),p=No(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,m={boxes:a,scores:i},d={maxOutputSize:u,iouThreshold:c,scoreThreshold:l,padToMaxOutputSize:s},f=T.runKernel(Ha,m,d);return{selectedIndices:f[0],validOutputs:f[1]}}var Z1=N({nonMaxSuppressionPadded_:R6});async function D6(r,e,t,o=.5,n=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,"boxes","nonMaxSuppressionAsync"),i=v(e,"scores","nonMaxSuppressionAsync"),p=No(a,i,t,o,n,null),u=p.maxOutputSize,c=p.iouThreshold,l=p.scoreThreshold,[m,d]=await Promise.all([a.data(),i.data()]),{selectedIndices:f,validOutputs:h}=Qd(m,d,u,c,l,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:xr(f,"int32"),validOutputs:ke(h,"int32")}}var J1=D6;function A6(r,e,t=!1,o=!1){let n=v(r,"images","resizeBilinear");$(n.rank===3||n.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${e}.`),$(o===!1||t===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(ns,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var eN=N({resizeBilinear_:A6});function F6(r,e,t=!1,o=!1){let n=v(r,"images","resizeNearestNeighbor");$(n.rank===3||n.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${n.rank}.`),$(e.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${e}.`),$(n.dtype==="float32"||n.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),$(o===!1||t===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=n,a=!1;n.rank===3&&(a=!0,s=W(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let[]=e,i={images:s},p={alignCorners:t,halfPixelCenters:o,size:e},u=T.runKernel(os,i,p);return a?W(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var tN=N({resizeNearestNeighbor_:F6});function P6(r,e="binary",t=!1,o=.5){let n=v(r,"image","threshold"),s=.2989,a=.587,i=.114,p=n.shape[0]*n.shape[1],u=se(xr([o]),255),c,l,m,d;if($(n.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${n.rank}.`),$(n.shape[2]===3||n.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${n.shape[2]}.`),$(n.dtype==="int32"||n.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${n.dtype}.`),$(e==="otsu"||e==="binary",()=>`Method must be binary or otsu, but was ${e}`),n.shape[2]===3){[c,l,m]=ai(n,[1,1,1],-1);let g=se(c,s),x=se(l,a),b=se(m,i);d=be(be(g,x),b)}else d=r;if(e==="otsu"){let g=md(Ye(Vd(d),"int32"),ir([]),256);u=O6(g,p)}let f=t?ic(d,u):Bu(d,u);return Ye(se(f,255),"int32")}function O6(r,e){let t=xr([-1]),o=xr([0]),n=xr([0]),s,a,i,p,u,c;for(let l=0;l`Error in transform: image must be rank 4,but got rank ${a.rank}.`),$(i.rank===2&&(i.shape[0]===a.shape[0]||i.shape[0]===1)&&i.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),$(s==null||s.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);let p={image:a,transforms:i},u={interpolation:t,fillMode:o,fillValue:n,outputShape:s};return T.runKernel(Ts,p,u)}var oN=N({transform_:M6});function L6(r,e,t){let o=v(r,"a","bandPart");$(o.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${o.rank}.`);let n=o.shape,[s,a]=o.shape.slice(-2),i,p;typeof e=="number"?($(e%1===0,()=>`bandPart(): numLower must be an integer, got ${e}.`),$(e<=s,()=>`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`),i=v(e<0?s:e,"numLower","bandPart")):($(e.dtype==="int32",()=>"bandPart(): numLower's dtype must be an int32."),i=io(kl(e,0),s,Wu(e,s))),typeof t=="number"?($(t%1===0,()=>`bandPart(): numUpper must be an integer, got ${t}.`),$(t<=a,()=>`bandPart(): numUpper (${t}) must not be greater than the number of columns (${a}).`),p=v(t<0?a:t,"numUpper","bandPart")):($(t.dtype==="int32",()=>"bandPart(): numUpper's dtype must be an int32."),p=io(kl(t,0),a,Wu(t,a)));let u=W(au(0,s,1,"int32"),[-1,1]),c=au(0,a,1,"int32"),l=Te(u,c),m=zu(ic(l,i),Cd(l,pr(p))),d=Wr([s,a],o.dtype);return W(vr(po(W(o,[-1,s,a])).map(f=>io(m,f,d))),n)}var nN=N({bandPart_:L6});function B6(r){let e;if(Array.isArray(r)){e=!1,$(r!=null&&r.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let n=r[0].shape[0];for(let s=1;s`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${n})`)}else e=!0,r=ai(r,r.shape[0],0).map(n=>lc(n,[0]));$(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let t=[],o=r;for(let n=0;n{let s=o[n];if(n>0)for(let a=0;a=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return aN(r,e);{let t=r.shape.slice(0,r.shape.length-2).reduce((p,u)=>p*u),o=po(W(r,[t,r.shape[r.shape.length-2],r.shape[r.shape.length-1]]),0),n=[],s=[];o.forEach(p=>{let[u,c]=aN(p,e);n.push(u),s.push(c)});let a=W(vr(n,0),r.shape),i=W(vr(s,0),r.shape);return[a,i]}}function aN(r,e=!1){return T.tidy(()=>{$(r.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${r.shape.length}D Tensor.`);let t=r.shape[0],o=r.shape[1],n=xd(t),s=Vr(r),a=uu([[1]],[1,1]),i=Vr(a),p=t>=o?o:t;for(let u=0;u{let d=qe(s,[u,u],[t-u,1]),f=Lu(d),h=qe(s,[u,u],[1,1]),g=io(Bu(h,0),uu([[-1]]),uu([[1]])),x=Te(h,se(g,f)),b=Ke(d,x);b.shape[0]===1?i=Vr(a):i=yt([a,qe(b,[1,0],[b.shape[0]-1,b.shape[1]])],0);let w=pr(Ke(Qe(g,x),f)),S=qe(s,[u,0],[t-u,o]),k=se(w,i),_=dc(i);if(u===0)s=Te(S,Qe(k,Qe(_,S)));else{let D=Te(S,Qe(k,Qe(_,S)));s=yt([qe(s,[0,0],[u,o]),D],0)}let E=dc(k),R=qe(n,[0,u],[t,n.shape[1]-u]);if(u===0)n=Te(R,Qe(Qe(R,i),E));else{let D=Te(R,Qe(Qe(R,i),E));n=yt([qe(n,[0,0],[t,u]),D],1)}return[i,s,n]}),Ot([c,l,m])}return!e&&t>o&&(n=qe(n,[0,0],[t,o]),s=qe(s,[0,0],[o,o])),[n,s]})}var iN=N({qr_:z6});var Et;(function(r){r[r.NONE=0]="NONE",r[r.MEAN=1]="MEAN",r[r.SUM=2]="SUM",r[r.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(Et||(Et={}));function V6(r,e,t=Et.SUM_BY_NONZERO_WEIGHTS){let o=v(r,"losses","computeWeightedLoss"),n=null;e!=null&&(n=v(e,"weights","computeWeightedLoss"));let s=n==null?o:se(o,n);if(t===Et.NONE)return s;if(t===Et.SUM)return ot(s);if(t===Et.MEAN){if(n==null)return Vu(s);{let a=o.size/n.size,i=Ke(ot(s),ot(n));return a>1?Ke(i,ke(a)):i}}if(t===Et.SUM_BY_NONZERO_WEIGHTS){if(n==null)return Ke(ot(s),ke(o.size));{let a=se(n,va(o.shape)),i=Ye(ot(Rd(a,ke(0))),"float32");return Ke(ot(s),i)}}throw Error(`Unknown reduction: ${t}`)}var cr=N({computeWeightedLoss_:V6});function W6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","absoluteDifference"),s=v(e,"predictions","absoluteDifference"),a=null;t!=null&&(a=v(t,"weights","absoluteDifference")),xt(n.shape,s.shape,"Error in absoluteDifference: ");let i=Zt(Te(n,s));return cr(i,a,o)}var uN=N({absoluteDifference_:W6});function U6(r,e,t,o,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","cosineDistance"),a=v(e,"predictions","cosineDistance"),i=null;o!=null&&(i=v(o,"weights","cosineDistance")),xt(s.shape,a.shape,"Error in cosineDistance: ");let p=ke(1),u=Te(p,ot(se(s,a),t,!0));return cr(u,i,n)}var pN=N({cosineDistance_:U6});function G6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","hingeLoss"),s=v(e,"predictions","hingeLoss"),a=null;t!=null&&(a=v(t,"weights","hingeLoss")),xt(n.shape,s.shape,"Error in hingeLoss: ");let i=ke(1);n=Te(se(ke(2),n),i);let p=iu(Te(i,se(n,s)));return cr(p,a,o)}var cN=N({hingeLoss_:G6});function H6(r,e,t,o=1,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","huberLoss"),a=v(e,"predictions","huberLoss"),i=null;t!=null&&(i=v(t,"weights","huberLoss")),xt(s.shape,a.shape,"Error in huberLoss: ");let p=ke(o),u=Zt(Te(a,s)),c=Wu(u,p),l=Te(u,c),m=be(se(ke(.5),Jt(c)),se(p,l));return cr(m,i,n)}var lN=N({huberLoss_:H6});function K6(r,e,t,o=1e-7,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","logLoss"),a=v(e,"predictions","logLoss"),i=null;t!=null&&(i=v(t,"weights","logLoss")),xt(s.shape,a.shape,"Error in logLoss: ");let p=ke(1),u=ke(o),c=pr(se(s,ni(be(a,u)))),l=se(Te(p,s),ni(be(Te(p,a),u))),m=Te(c,l);return cr(m,i,n)}var mN=N({logLoss_:K6});function q6(r,e,t,o=Et.SUM_BY_NONZERO_WEIGHTS){let n=v(r,"labels","meanSquaredError"),s=v(e,"predictions","meanSquaredError"),a=null;t!=null&&(a=v(t,"weights","meanSquaredError")),xt(n.shape,s.shape,"Error in meanSquaredError: ");let i=Ud(n,s);return cr(i,a,o)}var dN=N({meanSquaredError_:q6});function j6(r,e){let t=v(r,"labels","sigmoidCrossEntropyWithLogits"),o=v(e,"logits","sigmoidCrossEntropyWithLogits");xt(t.shape,o.shape,"Error in sigmoidCrossEntropyWithLogits: ");let n=iu(o),s=se(o,t),a=Sd(ko(pr(Zt(o))));return be(Te(n,s),a)}function X6(r,e,t,o=0,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"multiClassLabels","sigmoidCrossEntropy"),a=v(e,"logits","sigmoidCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","sigmoidCrossEntropy")),xt(s.shape,a.shape,"Error in sigmoidCrossEntropy: "),o>0){let u=ke(o),c=ke(1),l=ke(.5);s=be(se(s,Te(c,u)),se(l,u))}let p=j6(s,a);return cr(p,i,n)}var fN=N({sigmoidCrossEntropy_:X6});function Y6(r,e,t=-1){if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t}`);return Ir((n,s,a)=>{let p=kd(s,[t],!0),u=Te(Ye(s,"float32"),p);a([n,u]);let c=pr(se(u,n));return{value:ot(c,[t]),gradFunc:(d,f)=>{let[h,g]=f,x=ti(d.shape,[t]);return[se(W(d,x),Te(Ye(h,"float32"),ko(g))),se(W(d,x),Te(ko(g),Ye(h,"float32")))]}}})(r,e)}function Q6(r,e,t,o=0,n=Et.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"onehotLabels","softmaxCrossEntropy"),a=v(e,"logits","softmaxCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","softmaxCrossEntropy")),xt(s.shape,a.shape,"Error in softmaxCrossEntropy: "),o>0){let u=ke(o),c=ke(1),l=ke(s.shape[1]);s=be(se(s,Te(c,u)),Ke(u,l))}let p=Y6(s,a);return cr(p,i,n)}var hN=N({softmaxCrossEntropy_:Q6});function Z6(r,e,t,o){let n=v(r,"indices","sparseFillEmptyRows","int32"),s=v(e,"values","sparseFillEmptyRows"),a=v(t,"denseShape","sparseFillEmptyRows","int32"),i=v(o,"defaultValue","sparseFillEmptyRows",s.dtype);if(n.rank!==2)throw new Error(`Indices should be Tensor2D but received shape + ${n.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(a.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${a.shape}`);if(i.rank!==0)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);let p={indices:n,values:s,denseShape:a,defaultValue:i},u=T.runKernel(Vi,p);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var gN=N({sparseFillEmptyRows_:Z6});function J6(r,e,t){let o=v(r,"inputIndices","sparseReshape","int32"),n=v(e,"inputShape","sparseReshape","int32"),s=v(t,"newShape","sparseReshape","int32");if(o.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape + ${o.shape}`);if(n.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let a={inputIndices:o,inputShape:n,newShape:s},i=T.runKernel(Xa,a);return{outputIndices:i[0],outputShape:i[1]}}var xN=N({sparseReshape_:J6});function ej(r,e,t){let o=v(r,"data","sparseSegmentMean"),n=v(e,"indices","sparseSegmentMean","int32"),s=v(t,"segmentIds","sparseSegmentMean","int32");if(o.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(gi,a)}var Z1=N({sparseSegmentMean_:qH});function jH(r,e,t){let o=v(r,"data","sparseSegmentSum"),n=v(e,"indices","sparseSegmentSum","int32"),s=v(t,"segmentIds","sparseSegmentSum","int32");if(o.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape + ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(Wi,a)}var yN=N({sparseSegmentMean_:ej});function tj(r,e,t){let o=v(r,"data","sparseSegmentSum"),n=v(e,"indices","sparseSegmentSum","int32"),s=v(t,"segmentIds","sparseSegmentSum","int32");if(o.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.rank!==1)throw new Error(`Indices should be Tensor1D but received shape ${n.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape - ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(xi,a)}var J1=N({sparseSegmentSum_:jH});function XH(r,e,t,o,n,s,a,i){let p=v(r,"data","stringNGrams","string");if(p.dtype!=="string")throw new Error("Data must be of datatype string");if(p.shape.length!==1)throw new Error(`Data must be a vector, saw: ${p.shape}`);let u=v(e,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:t,nGramWidths:o,leftPad:n,rightPad:s,padWidth:a,preserveShortSequences:i},l={data:p,dataSplits:u},m=T.runKernel(Ds,l,c);return{nGrams:m[0],nGramsSplits:m[1]}}var eN=N({stringNGrams_:XH});function YH(r,e,t=!0){let o=v(r,"input","stringSplit","string"),n=v(e,"delimiter","stringSplit","string");if(o.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${o.shape}`);if(n.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${n.shape}`);let s={skipEmpty:t},a={input:o,delimiter:n},i=T.runKernel(Ci,a,s);return{indices:i[0],values:i[1],shape:i[2]}}var tN=N({stringSplit_:YH});function QH(r,e){let t=v(r,"input","stringToHashBucketFast","string"),o={numBuckets:e};if(e<=0)throw new Error("Number of buckets must be at least 1");let n={input:t};return T.runKernel(Si,n,o)}var rN=N({stringToHashBucketFast_:QH});var ZH={fft:zp,ifft:du,rfft:Wp,irfft:Td},JH={hammingWindow:C1,hannWindow:Fd,frame:Od,stft:S1},eK={flipLeftRight:I1,grayscaleToRGB:v1,resizeNearestNeighbor:O1,resizeBilinear:F1,rotateWithOffset:k1,cropAndResize:w1,nonMaxSuppression:N1,nonMaxSuppressionAsync:$1,nonMaxSuppressionWithScore:E1,nonMaxSuppressionWithScoreAsync:A1,nonMaxSuppressionPadded:R1,nonMaxSuppressionPaddedAsync:D1,threshold:P1,transform:M1},tK={bandPart:L1,gramSchmidt:B1,qr:z1},rK={absoluteDifference:W1,computeWeightedLoss:ar,cosineDistance:U1,hingeLoss:G1,huberLoss:H1,logLoss:K1,meanSquaredError:q1,sigmoidCrossEntropy:j1,softmaxCrossEntropy:X1},oK={sparseFillEmptyRows:Y1,sparseReshape:Q1,sparseSegmentMean:Z1,sparseSegmentSum:J1},nK={stringNGrams:eN,stringSplit:tN,stringToHashBucketFast:rN};var oN={};Ge(oN,{Serializable:()=>il,SerializationMap:()=>qs,registerClass:()=>IC});var il=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},qs=class{constructor(){this.classNameMap={}}static getMap(){return qs.instance==null&&(qs.instance=new qs),qs.instance}static register(e){qs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function IC(r){$(r.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof r.className=="string",()=>"className is required to be a string, but got type "+typeof r.className),$(r.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),qs.register(r)}var wr=class extends il{minimize(e,t=!1,o){let{value:n,grads:s}=this.computeGradients(e,o);if(o!=null){let a=o.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ot(s),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return pC(e,t)}dispose(){this.iterations_!=null&&Ot(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Ce(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(wr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var yu=class extends wr{constructor(e,t,o=null){super(),this.learningRate=e,this.rho=t,this.epsilon=o,this.accumulatedGrads=[],this.accumulatedUpdates=[],o==null&&(this.epsilon=T.backend.epsilon())}static get className(){return"Adadelta"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accum_grad`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${o}/accum_var`,variable:Ee(()=>Ut(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedGrads[n].variable,u=this.accumulatedUpdates[n].variable;Ee(()=>{let c=be(ne(p,this.rho),ne(Qt(i),1-this.rho)),l=ne(He($r(be(u,this.epsilon)),$r(be(p,this.epsilon))),i),m=be(ne(u,this.rho),ne(Qt(l),1-this.rho));p.assign(c),u.assign(m);let d=be(ne(l,-this.learningRate),s);s.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ot(this.accumulatedGrads.map(e=>e.variable)),Ot(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,o=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};var bu=class extends wr{constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}static get className(){return"Adagrad"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accumulator`,variable:Ee(()=>Us(s.shape,this.initialAccumulatorValue).variable(!1))});let a=Array.isArray(e)?e[n].tensor:e[o];if(a==null)return;let i=this.accumulatedGrads[n].variable;Ee(()=>{let p=be(i,Qt(a));i.assign(p);let u=be(ne(He(a,$r(be(p,T.backend.epsilon()))),-this.learningRate),s);s.assign(u)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Ot(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};var Cu=class extends wr{constructor(e,t,o,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Ee(()=>{this.accBeta1=Ce(t).variable(),this.accBeta2=Ce(o).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}static get className(){return"Adam"}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);Ee(()=>{let o=ke(1,this.accBeta1),n=ke(1,this.accBeta2);t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ee(()=>Ut(i).variable(p))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:Ee(()=>Ut(i).variable(p))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,m=be(ne(c,this.beta1),ne(u,1-this.beta1)),d=be(ne(l,this.beta2),ne(Qt(u),1-this.beta2)),f=He(m,o),h=He(d,n);c.assign(m),l.assign(d);let g=be(ne(He(f,be($r(h),this.epsilon)),-this.learningRate),i);i.assign(g)}),this.accBeta1.assign(ne(this.accBeta1,this.beta1)),this.accBeta2.assign(ne(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&Ot(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),Ee(()=>{this.accBeta1.assign(Aa(this.beta1,this.iterations_+1)),this.accBeta2.assign(Aa(this.beta2,this.iterations_+1))});let t=e.length/2,o=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};var Su=class extends wr{constructor(e,t,o,n=null,s=0){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Ee(()=>{this.iteration=Ce(0).variable(),this.accBeta1=Ce(t).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}static get className(){return"Adamax"}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);Ee(()=>{let o=ke(1,this.accBeta1),n=He(-this.learningRate,be(ne(this.iteration,this.decay),1));t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ut(i).variable(p)}),this.accumulatedWeightedInfNorm[a]==null&&(this.accumulatedWeightedInfNorm[a]={originalName:`${s}/v`,variable:Ut(i).variable(p)});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,m=be(ne(c,this.beta1),ne(u,1-this.beta1)),d=ne(l,this.beta2),f=Yt(u),h=dd(d,f);c.assign(m),l.assign(h);let g=be(ne(He(n,o),He(m,be(h,this.epsilon))),i);i.assign(g)}),this.iteration.assign(be(this.iteration,1)),this.accBeta1.assign(ne(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&Ot(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};var Pa=class extends wr{constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}static get className(){return"SGD"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=Array.isArray(e)?e[n].tensor:e[o];if(s==null)return;let a=T.registeredVariables[o];Ee(()=>{let i=be(ne(this.c,s),a);a.assign(i)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=_r(Ce(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};var wu=class extends Pa{constructor(e,t,o=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=o,this.accumulations=[],this.m=Ce(this.momentum)}static get className(){return"Momentum"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${o}/momentum`,variable:Ee(()=>Ut(s).variable(!1))});let a=this.accumulations[n].variable,i=Array.isArray(e)?e[n].tensor:e[o];i!=null&&Ee(()=>{let p,u=be(ne(this.m,a),i);this.useNesterov?p=be(ne(this.c,be(i,ne(u,this.m))),s):p=be(ne(this.c,u),s),a.assign(u),s.assign(p)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Ot(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};var Iu=class extends wr{constructor(e,t=.9,o=0,n=null,s=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=o,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,n==null&&(this.epsilon=T.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}static get className(){return"RMSProp"}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${o}/rms`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${o}/momentum`,variable:Ee(()=>Ut(s).variable(a))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${o}/mg`,variable:Ee(()=>Ut(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedMeanSquares[n].variable,u=this.accumulatedMoments[n].variable;Ee(()=>{let c=be(ne(p,this.decay),ne(Qt(i),1-this.decay));if(this.centered){let l=this.accumulatedMeanGrads[n].variable,m=be(ne(l,this.decay),ne(i,1-this.decay)),d=He(ne(i,this.learningRate),$r(ke(c,be(Qt(m),this.epsilon)))),f=be(ne(u,this.momentum),d);p.assign(c),l.assign(m),u.assign(f);let h=ke(s,f);s.assign(h)}else{let l=be(ne(p,this.decay),ne(Qt(i),1-this.decay)),m=be(ne(u,this.momentum),He(ne(i,this.learningRate),$r(be(l,this.epsilon))));p.assign(l),u.assign(m);let d=ke(s,m);s.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Ot(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Ot(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&Ot(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,o=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};var sK=[yu,bu,Cu,Su,wu,Iu,Pa];function nN(){for(let r of sK)IC(r)}var La={};Ge(La,{browserFiles:()=>aN,browserHTTPRequest:()=>pN,concatenateArrayBuffers:()=>Fp,copyModel:()=>V0,decodeWeights:()=>Bm,encodeWeights:()=>v0,fromMemory:()=>cN,fromMemorySync:()=>$C,getLoadHandlers:()=>E0,getModelArtifactsForJSON:()=>Op,getModelArtifactsForJSONSync:()=>Qb,getModelArtifactsInfoForJSON:()=>Ms,getSaveHandlers:()=>$0,getWeightSpecs:()=>zm,http:()=>Vd,isHTTPScheme:()=>Bd,listModels:()=>L0,loadWeights:()=>iN,moveModel:()=>z0,registerLoadRouter:()=>_0,registerSaveRouter:()=>T0,removeModel:()=>B0,weightsLoaderFactory:()=>TC,withSaveHandler:()=>lN,withSaveHandlerSync:()=>mN});var aK="model",iK=".json",uK=".weights.bin";function sN(r){return new Promise(e=>setTimeout(e)).then(r)}var Ma=class{constructor(e){if(!O().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(Ma.URL_SCHEME)&&(e=e.slice(Ma.URL_SCHEME.length)),(e==null||e.length===0)&&(e=aK),this.modelJsonFileName=e+iK,this.weightDataFileName=e+uK}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let o=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],n=Vm(e,o),s=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:"application/json"})),a=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=s,await sN(()=>a.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await sN(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Ms(e)}}}};Ma.URL_SCHEME="downloads://";var vC=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let o=new FileReader;o.onload=n=>{let s=JSON.parse(n.target.result),a=s.modelTopology;if(a==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:a});return}let p=Op(s,u=>this.loadWeights(u));e(p)},o.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),o.readAsText(this.jsonFile)})}loadWeights(e){let t=[],o=[];for(let a of e)t.push(...a.weights),o.push(...a.paths);let n=this.checkManifestAndWeightFiles(e),s=o.map(a=>this.loadWeightsFile(a,n[a]));return Promise.all(s).then(a=>[t,Fp(a)])}loadWeightsFile(e,t){return new Promise((o,n)=>{let s=new FileReader;s.onload=a=>{let i=a.target.result;o(i)},s.onerror=a=>n(`Failed to weights data from file of path '${e}'.`),s.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],o=this.weightsFiles.map(s=>Yb(s.name)),n={};for(let s of e)s.paths.forEach(a=>{let i=Yb(a);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),o.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[a]=this.weightsFiles[o.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},pK=r=>O().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(Ma.URL_SCHEME)?cK(r.slice(Ma.URL_SCHEME.length)):null;mt.registerSaveRouter(pK);function cK(r="model"){return new Ma(r)}function aN(r){return new vC(r)}function kC(r,e,t,o){a(r),t=t==null?0:t,o=o==null?1:o,i(t,o);let n=0,s=p=>(p.then(u=>{let c=t+ ++n/r.length*(o-t);return e(c),u}),p);function a(p){$(p!=null&&Array.isArray(p)&&p.length>0,()=>"promises must be a none empty array")}function i(p,u){$(p>=0&&p<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${p}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=p,()=>`startFraction must be no more than endFraction, but got startFraction ${p} and endFraction ${u}`)}return Promise.all(r.map(s))}async function NC(r,e){e==null&&(e={});let t=e.fetchFunc==null?O().platform.fetch:e.fetchFunc,o=r.map(l=>t(l,e.requestInit,{isBinary:!0})),n=0,s=.5,i=(e.onProgress==null?await Promise.all(o):await kC(o,e.onProgress,n,s)).map(l=>l.arrayBuffer()),p=.5,u=1;return e.onProgress==null?await Promise.all(i):await kC(i,e.onProgress,p,u)}async function iN(r,e="",t,o){return TC(a=>NC(a,{requestInit:o}))(r,e,t)}function TC(r){return async(e,t="",o)=>{let n=e.map(()=>!1),s={},a=o!=null?o.map(()=>!1):[],i=[];if(e.forEach((d,f)=>{let h=0;d.weights.forEach(g=>{let x="quantization"in g?g.quantization.dtype:g.dtype,b=Zc[x]*We(g.shape),C=()=>{n[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};o!=null?o.forEach((w,k)=>{w===g.name&&(C(),a[k]=!0)}):C(),i.push(g.name),h+=b})}),!a.every(d=>d)){let d=o.filter((f,h)=>!a[h]);throw new Error(`Could not find weights in manifest with names: ${d.join(", ")}. -Manifest JSON has weights with names: ${i.join(", ")}.`)}let p=n.reduce((d,f,h)=>(f&&d.push(h),d),[]),u=[];p.forEach(d=>{e[d].paths.forEach(f=>{let h=t+(t.endsWith("/")?"":"/")+f;u.push(h)})});let c=await r(u),l={},m=0;return p.forEach(d=>{let f=e[d].paths.length,h=0;for(let w=0;w{let k=g.slice(w.groupOffset,w.groupOffset+w.sizeBytes),_=Bm(k,[w.manifestEntry]);for(let E in _)l[E]=_[E]}),m+=f}),l}}var lK="application/octet-stream",mK="application/json",ul=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=O().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let o=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],n=Vm(e,o);t.body.append("model.json",new Blob([JSON.stringify(n)],{type:mK}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:lK}),"model.weights.bin");let s=await this.fetch(this.path,t);if(s.ok)return{modelArtifactsInfo:Ms(e),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(s){let a=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?a+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":a+=" Please make sure the server is serving valid JSON for this request.",new Error(a)}let o=t.modelTopology,n=t.weightsManifest;if(o==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Op(t,s=>this.loadWeights(s))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[o,n]=dK(t),s=this.weightPathPrefix||o,a=zm(e),i=[],p=[];for(let c of e)for(let l of c.paths)this.weightUrlConverter!=null?p.push(this.weightUrlConverter(l)):i.push(s+l+n);this.weightUrlConverter&&i.push(...await Promise.all(p));let u=await NC(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[a,Fp(u)]}};ul.URL_SCHEME_REGEX=/^https?:\/\//;function dK(r){let e=r.lastIndexOf("/"),t=r.lastIndexOf("?"),o=r.substring(0,e),n=t>e?r.substring(t):"";return[o+"/",n]}function Bd(r){return r.match(ul.URL_SCHEME_REGEX)!=null}var uN=(r,e)=>{if(typeof fetch=="undefined"&&(e==null||e.fetchFunc==null))return null;{let t=!0;if(Array.isArray(r)?t=r.every(o=>Bd(o)):t=Bd(r),t)return Vd(r,e)}return null};mt.registerSaveRouter(uN);mt.registerLoadRouter(uN);function Vd(r,e){return new ul(r,e)}function pN(r,e){return Vd(r,e)}var pl=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},zd=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},_C=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function cN(r,e,t,o){let n=arguments;return new _C($C(...n))}function $C(r,e,t,o){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new pl(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new pl({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new pl({modelTopology:r,weightSpecs:e,weightData:t,trainingConfig:o}))}function lN(r){return new zd(r)}function mN(r){return new zd(r)}var fN={};Ge(fN,{confusionMatrix:()=>dN});function fK(r,e,t){let o=v(r,"labels","confusionMatrix"),n=v(e,"predictions","confusionMatrix");$(t==null||t>0&&Number.isInteger(t),()=>`If provided, numClasses must be a positive integer, but got ${t}`),$(o.rank===1,()=>`Expected the rank of labels to be 1, but got ${o.rank}`),$(n.rank===1,()=>`Expected the rank of predictions to be 1, but got ${n.rank}`),$(o.shape[0]===n.shape[0],()=>`Mismatch in the number of examples: ${o.shape[0]} vs. ${n.shape[0]}. Labels and predictions should have the same number of elements.`),$(t>0&&Number.isInteger(t),()=>`numClasses is required to be a positive integer, but got ${t}`);let s=nl(je(o,"int32"),t),a=nl(je(n,"int32"),t),i=Gp(s),p=Xe(i,a);return je(p,"int32")}var dN=N({confusionMatrix_:fK});var gN={};Ge(gN,{fromPixels:()=>SK,fromPixelsAsync:()=>bK,toPixels:()=>CK});var vu;function hN(r,e=3){if(e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let t=!1,o=!1,n=!1,s=!1,a=!1,i=!1;if(r.data instanceof Uint8Array)t=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)o=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)n=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)a=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)i=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(Kc(Zi,T.backendName)!=null){let f={pixels:r},h={numChannels:e};return T.runKernel(Zi,f,h)}let[u,c]=n?[r.videoWidth,r.videoHeight]:[r.width,r.height],l;if(a)l=r.getContext("2d").getImageData(0,0,u,c).data;else if(o||t)l=r.data;else if(s||n||i){if(vu==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")vu=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else vu=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});vu.canvas.width=u,vu.canvas.height=c,vu.drawImage(r,0,0,u,c),l=vu.getImageData(0,0,u,c).data}let m;if(e===4)m=new Int32Array(l);else{let f=u*c;m=new Int32Array(f*e);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(t.dtype!=="float32"&&t.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${t.dtype}. Please use float32 or int32 tensors.`);let a=await t.data(),i=t.dtype==="float32"?255:1,p=new Uint8ClampedArray(n*o*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${d}.`)}else if(t.dtype==="int32"&&(d<0||d>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${d}.`);s===1?(c[0]=d*i,c[1]=d*i,c[2]=d*i):c[m]=d*i}let l=u*4;p[l+0]=Math.round(c[0]),p[l+1]=Math.round(c[1]),p[l+2]=Math.round(c[2]),p[l+3]=Math.round(c[3])}if(e!=null){e.width=n,e.height=o;let u=e.getContext("2d"),c=new ImageData(p,n,o);u.putImageData(c,0,0)}return t!==r&&t.dispose(),p}var SK=N({fromPixels_:hN});var Wd={};Ge(Wd,{prepareAndValidate:()=>xN});function xN(r,e){let t=r.shape.length,o=e.shape.length;if(t<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${t}.`);if(o<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${o}.`);if(e.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.shape[o-1]>t)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[o-1]} vs. ${t}`);if(We(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let n=e.shape,s=n[n.length-1],a=1;for(let l=0;ll/u),1].slice(0,s);return[p,a,u,c]}var ut={};Ge(ut,{assertParamsValid:()=>IK,computeFlatOffset:()=>_K,computeOutShape:()=>kK,getNormalizedAxes:()=>NK,isSliceContinous:()=>TK,maskToAxes:()=>vK,parseSliceParams:()=>$K,sliceInfo:()=>EK,startForAxis:()=>kN,startIndicesWithElidedDims:()=>wN,stopForAxis:()=>NN,stopIndicesWithElidedDims:()=>IN,stridesForAxis:()=>vN,stridesWithElidedDims:()=>bN});var EC=-2,wK=-1;function IK(r,e,t){let o=r.shape.length;$(o===e.length,()=>`Error in slice${o}D: Length of begin ${e} must match the rank of the array (${o}).`),$(o===t.length,()=>`Error in slice${o}D: Length of size ${t} must match the rank of the array (${o}).`);for(let n=0;n`Error in slice${o}D: begin[${n}] + size[${n}] (${e[n]+t[n]}) would overflow input.shape[${n}] (${r.shape[n]})`)}function vK(r){let e=[],t=0;for(;r>0;)r&1&&e.push(t),r/=2,t++;return e}function kK(r,e,t){let o=[];for(let n=0;n0){let d=e[0],f=t+1;c=wN(a,d,f,o,r),l=IN(i,d,f,n,r),m=bN(s,d,f,r)}else for(let d=0;d-1)s[i]=0;else{let p=CN(e,t,i),u=o[p];r&1<-1)s[i]=Number.MAX_SAFE_INTEGER;else{let p=CN(e,t,i),u=o[p];r&1<0?a=Number.MIN_SAFE_INTEGER:a=Number.MAX_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),a=ip(0,a,p-1),a}function NN(r,e,t,o,n,s){let a=e[n],i=t[n]||1;(r&1<0?a=Number.MAX_SAFE_INTEGER:a=Number.MIN_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),i>0?a=ip(0,a,p):a=ip(-1,a,p-1),a}function TK(r,e,t){let o=t.length;for(let n=0;n1){o=n;break}for(let n=o+1;n0||t[n]!==r[n])return!1;return!0}function _K(r,e){let t=r.length>0?r[r.length-1]:1;for(let o=0;o{$(a!==-1,()=>"slice() does not support negative begin indexing.")});let s;return t==null?s=new Array(n).fill(-1):typeof t=="number"?s=[t,...new Array(n-1).fill(-1)]:t.lengtha>=0?a:($(a===-1,()=>`Negative size values should be exactly -1 but got ${a} for the slice() size at index ${i}.`),r.shape[i]-o[i])),[o,s]}function EK(r,e,t,o,n,s,a,i,p){let u;if(o==null?(u=new Array(e.length),u.fill(1)):u=o,a!=null&&a&a-1)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,l={dims:u.length,numAddAxisAfterEllipsis:0,begin:e.slice(),end:t.slice(),strides:u.slice(),beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};for(let C=0;C0?0:-1,m.strides[C]>0?k:k-1];if(w&&m.strides[C]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[C]===1;let A=!!(m.beginMask&1<=k)throw Error(`slice index ${m.begin[C]} of dimension ${C} out of bounds.`)}else m.begin[C]=yN(m.begin[C],0,m.strides[C],k,_,E),m.end[C]=yN(m.end[C],1,m.strides[C],k,_,E);let P=m.strides[C]===1&&m.begin[C]===0&&m.end[C]===k;d=d&&P,f=f&&(C===0&&m.strides[C]===1||P)}else d=d&&m.strides[C]===1&&A,f=f&&(C===0&&m.strides[C]===1||A);let R,D=!1;if(m.beginValid&&m.endValid?(R=m.end[C]-m.begin[C],D=!0):w?(R=1,D=!0):A&&k>=0&&(m.strides[C]<0?R=-k:R=k,D=!0),D){let P;R===0||R<0!=m.strides[C]<0?P=0:P=Math.trunc(R/m.strides[C])+(R%m.strides[C]!==0?1:0),g.push(P)}else g.push(-1)}for(let C=0;C=0?x.push(g[w]):w===EC&&x.push(1)}return{finalShapeSparse:x.filter((C,w)=>m.finalShapeGatherIndices[w]!==EC),finalShape:x,isIdentity:d,sliceDim0:f,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function AK(r,e){e.beginMask=0,e.endMask=0,e.shrinkAxisMask=0;let t=0;e.beginValid=r.begin!=null,e.endValid=r.end!=null,e.begin=new Array(e.dims),e.end=new Array(e.dims),e.strides=new Array(e.dims),e.finalShapeGatherIndices=[],e.finalShapeGatherIndicesSparse=[],e.inputShapeGatherIndicesSparse=new Array(e.dims);for(let o=0;o0?s[e]:s[e+1&1];{let a=r<0?o+r:r;return as[1]?s[1]:a}}var RK="4.2.0";var cl=class{static sgd(e){return new Pa(e)}static momentum(e,t,o=!1){return new wu(e,t,o)}static rmsprop(e,t=.9,o=0,n=null,s=!1){return new Iu(e,t,o,n,s)}static adam(e=.001,t=.9,o=.999,n=null){return new Cu(e,t,o,n)}static adadelta(e=.001,t=.95,o=null){return new yu(e,t,o)}static adamax(e=.002,t=.9,o=.999,n=null,s=0){return new Su(e,t,o,n,s)}static adagrad(e,t=.1){return new bu(e,t)}};var YMe=cl;var DK=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function AC(){return new Promise(r=>DK(()=>r()))}var S={};Ge(S,{ERF_A1:()=>YK,ERF_A2:()=>QK,ERF_A3:()=>ZK,ERF_A4:()=>JK,ERF_A5:()=>eq,ERF_P:()=>XK,PARALLELIZE_THRESHOLD:()=>Ud,RowPartitionType:()=>js,SELU_SCALE:()=>jK,SELU_SCALEALPHA:()=>qK,applyActivation:()=>gu,assertAndGetBroadcastShape:()=>Je,assertAxesAreInnerMostDims:()=>dU,assertParamsConsistent:()=>FK,assignToTypedArray:()=>aq,axesAreInnerMostDims:()=>uC,calculateShapes:()=>l1,checkEinsumDimSizes:()=>mq,checkPadOnDimRoundingMode:()=>Mt,combineLocations:()=>Ov,combineRaggedTensorToTensorShapes:()=>PK,complexWithEvenIndex:()=>oq,complexWithOddIndex:()=>nq,computeConv2DInfo:()=>au,computeConv3DInfo:()=>rv,computeDefaultPad:()=>iC,computeDilation2DInfo:()=>dW,computeOptimalWindowSize:()=>VK,computeOutAndReduceShapes:()=>mU,computeOutShape:()=>OK,computePool2DInfo:()=>aC,computePool3DInfo:()=>fW,convertConv2DDataFormat:()=>ov,decodeEinsumEquation:()=>cq,eitherStridesOrDilationsAreOne:()=>mr,expandShapeToKeepDim:()=>Ea,exponent:()=>uq,exponents:()=>iq,fromStringArrayToUint8:()=>Dq,fromUint8ToStringArray:()=>Rq,getAxesPermutation:()=>fU,getBroadcastDims:()=>Ev,getComplexWithIndex:()=>sq,getEinsumComputePath:()=>dq,getEinsumPermutation:()=>lq,getFusedBiasGradient:()=>hu,getFusedDyActivation:()=>fu,getImageCenter:()=>zK,getInnerMostAxes:()=>gU,getPermuted:()=>UK,getRaggedRank:()=>LK,getReductionAxes:()=>Qm,getReshaped:()=>WK,getReshapedPermuted:()=>GK,getRowPartitionTypesHelper:()=>MK,getSliceBeginCoords:()=>HK,getSliceSize:()=>KK,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>xq,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>yq,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>bq,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>wq,getSparseReshapeInputOutputMismatchErrorMessage:()=>vq,getSparseReshapeInputOutputMultipleErrorMessage:()=>Iq,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>Cq,getSparseReshapeNegativeOutputDimErrorMessage:()=>Sq,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>_q,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>kq,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>Nq,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>Tq,getUndoAxesPermutation:()=>hU,isIdentityPermutation:()=>fq,log:()=>pz,mergeRealAndImagArrays:()=>tq,prepareAndValidate:()=>xN,prepareSplitSize:()=>gq,segment_util:()=>DC,shouldFuse:()=>xu,slice_util:()=>ut,splitRealAndImagArrays:()=>rq,stridesOrDilationsArePositive:()=>Vs,tupleValuesAreOne:()=>su,upcastType:()=>dt,validateDefaultValueShape:()=>BK,validateInput:()=>Dd,validateUpdateShape:()=>bC,warn:()=>Ps});function FK(r,e){let t=r[0].length;r.forEach((n,s)=>{$(n.length===t,()=>`Error in concat${t}D: rank of tensors[${s}] must be the same as the rank of the rest (${t})`)}),$(e>=0&&e`Error in concat${t}D: axis must be between 0 and ${t-1}.`);let o=r[0];r.forEach((n,s)=>{for(let a=0;a`Error in concat${t}D: Shape of tensors[${s}] (${n}) does not match the shape of the rest (${o}) along the non-concatenated axis ${s}.`)})}function OK(r,e){let t=r[0].slice();for(let o=1;o=0)if(i>=0){if(i!==s)throw new Error(`rt input.shape and shape=${e} are incompatible: rt input.shape[${n+r}] = ${s} but shape[${n+r}] = ${i}`)}else o[a]=s}return o}function MK(r){let e={FIRST_DIM_SIZE:js.FIRST_DIM_SIZE,VALUE_ROWIDS:js.VALUE_ROWIDS,ROW_LENGTHS:js.ROW_LENGTHS,ROW_SPLITS:js.ROW_SPLITS,ROW_LIMITS:js.ROW_LIMITS,ROW_STARTS:js.ROW_STARTS},t=[];for(let o of r)if(o in e)t.push(e[o]);else break;return t}function LK(r){return r.length===0?0:r[0]===js.FIRST_DIM_SIZE?r.length-1:r.length}function BK(r,e){if(r==null||e==null)return;let t=r.length,o=e.length;if(t>=o)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${e}, are incompatible: defaultValue.rank = ${t} must be less than ragged tensor input flatValues.rank = ${o})`);for(let n=0;n=0&&a>=0&&s!==1&&s!==a)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${e} are incompatible: defaultValue.shape[${n-r.length}] = ${s} but ragged tensor input.flatValues.shape[${n-r.length}] = ${a}`)}}var Ud=30;function VK(r){return r<=Ud?r:cp(r,Math.floor(Math.sqrt(r)))}function zK(r,e,t){let o=t*(typeof r=="number"?r:r[0]),n=e*(typeof r=="number"?r:r[1]);return[o,n]}function WK(r,e,t,o=!0){let n=[];if(o)n=n.concat(e.slice(0)),n.push(r[0]/t),n=n.concat(r.slice(1));else{n=n.concat(r[0]);let s=e.length;for(let a=0;a=e*2+1||a%2===1?s.push(a):n.push(a);o.push(...n),o.push(0),o.push(...s)}return o}function GK(r,e,t,o=!0){let n=[];o?n.push(r[0]/t):n.push(r[0]*t);for(let s=1;s/g,TN=",",_N="...";function cq(r,e){r=r.replace(/\s/g,"");let t=(r.length-r.replace(pq,"").length)/RC.length;if(t<1)throw new Error("Equations without an arrow are not supported.");if(t>1)throw new Error(`Equation must contain exactly one arrow ("${RC}").`);let[o,n]=r.split(RC);$(o.indexOf(_N)===-1,()=>`The ellipsis notation ("${_N}") is not supported yet.`);let s=o.split(TN),a=s.length;if(e!==a)throw new Error(`Expected ${a} input tensors, received ${e}`);if(a>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let i=[];for(let m=0;mf.indexOf(d)!==-1))throw new Error(`Output subscripts contain the label ${d} not present in the input subscripts.`);i.indexOf(d)===-1&&i.push(d)}for(let m=0;mn!==-1),{permutationIndices:t,expandDims:o}}function mq(r,e,t){let o=new Array(r);for(let n=0;n`Expected dimension ${o[e[n][a]]} at axis ${a} of input shaped ${JSON.stringify(s)}, but got dimension ${s[a]}`)}}function dq(r,e){let t=r,o=[],n=0;r.length===0&&t.push(-1),n=r.length+1;for(let a=0;ae===t)}function hq(r,e){let t=[];for(let o=0;o"Number of splits must evenly divide the axis."),o=new Array(e).fill(r.shape[t]/e);else{let n=e.reduce((a,i)=>(i===-1&&(a+=1),a),0);$(n<=1,()=>"There should be only one negative value in split array.");let s=e.indexOf(-1);if(s!==-1){let a=e.reduce((i,p)=>p>0?i+p:i);e[s]=r.shape[t]-a}$(r.shape[t]===e.reduce((a,i)=>a+i),()=>"The sum of sizes must match the size of the axis dimension."),o=e}return o}function xq(r){return`Received SparseTensor with denseShape[0] = 0 but - indices.shape[0] = ${r}`}function yq(r,e){return`indices(${r}, 0) is invalid: ${e} < 0`}function bq(r,e,t){return`indices(${r}, 0) is invalid: ${e} >= ${t}`}function Cq(r,e){return`only one output dimension may be -1, not both ${r} and ${e}`}function Sq(r,e){return`size ${r} must be non-negative, not ${e}`}function wq(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function Iq(r,e){let t=We(r),o=We(e);return`Input to reshape is a SparseTensor with ${t} - dense values, but the requested shape requires a multiple of ${o}. inputShape=${r} outputShape= ${e}`}function vq(r,e){let t=We(r),o=We(e);return`Input to reshape is a tensor with ${t} dense values, but the requested shape has ${o}. inputShape=${r} outputShape=${e}`}function kq(){return"segment ids must be >= 0"}function Nq(){return"segment ids are not increasing"}function Tq(r,e){return`Segment id ${r} out of range [0, ${e}), possibly because segmentIds input is not sorted.`}function _q(r,e,t){return`Bad: indices[${r}] == ${e} out of range [0, ${t})`}var DC={};Ge(DC,{collectGatherOpShapeInfo:()=>Aq,computeOutShape:()=>Eq,segOpComputeOptimalWindowSize:()=>$q});function $q(r,e){let t=!1,o;for(r<=Ud?(o=r,t=!0):o=cp(r,Math.floor(Math.sqrt(r)));!t;)o>e||o===r?t=!0:o=cp(r,o+1);return o}function Eq(r,e,t){let o=[],n=r.length;for(let s=0;sn))throw new Error(`Expect batchDims in the range of [-${n}, ${n}], but got ${o}`);if(o<0&&(o+=n),o>s)throw new Error(`batchDims (${o}) must be less than rank(x) ( - ${s}).`);if(tRp(e))}catch(e){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${e}`)}}function Dq(r){return r.map(e=>Ii(e))}var Vt={};Ge(Vt,{nonMaxSuppressionV3Impl:()=>Pd,nonMaxSuppressionV4Impl:()=>Md,nonMaxSuppressionV5Impl:()=>Ld,whereImpl:()=>Ad});nN();var Fq=O();Fq.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var ao;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(ao||(ao={}));var $N;(function(r){let e;(function(t){t[t.LEGACY=0]="LEGACY",t[t.V1=1]="V1",t[t.V2=2]="V2"})(e=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})($N||($N={}));var OC={};function Pq(r,e){let t={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:e};OC[r]=t}function Gd(r){return OC[r]}function Mq(r){delete OC[r]}function I(r,e,t,o,n){let s=e.inputParams[r];if(s&&s.inputIndexStart!==void 0){let i=s.inputIndexStart,p=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?i+1:s.inputIndexEnd;if(s.type==="tensor")return Gt(e.inputNames[s.inputIndexStart],t,o,n);if(s.type==="tensors")return e.inputNames.slice(i,p).map(m=>Gt(m,t,o,n));let u=Gt(e.inputNames.slice(i)[0],t,o,n),c=u.dataSync();return s.type==="number"?c[0]:y.toNestedArray(u.shape,c)}let a=e.attrParams[r];return a&&a.value}function Gt(r,e,t,o){let[n,s]=Ir(r);if(o!=null){let i=o.getHashTableHandleByName(n);if(i!=null)return i}let a=t.currentContextIds.find(i=>!!e[Hd(n,i)]);return a!==void 0?e[Hd(n,a)][s]:void 0}function EN(r,e,t){return e[Hd(r,t.currentContextId)]}function as(r,e){let[t,o,n]=Ir(r);return[Hd(t,e&&e.currentContextId),o,n]}function Hd(r,e){return e?`${r}-${e}`:r}function Ir(r){let e=r.split(":");if(e.length===1)return[r,0,void 0];let t=e[0],o=e.length===3?e[1]:void 0,n=Number(e[e.length-1]);return[t,n,o]}function ll(r,e,t){let o=I("pad",r,e,t);if(o==="explicit"){o=I("explicitPaddings",r,e,t);let n=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)n[s][0]=o[s*2],n[s][1]=o[s*2+1];return n}return o}function is(r){return r.kept?r:Lr(r)}var PC={};Ge(PC,{json:()=>Lq});var Lq=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var MC={};Ge(MC,{json:()=>Bq});var Bq=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var LC={};Ge(LC,{json:()=>Vq});var Vq=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var BC={};Ge(BC,{json:()=>zq});var zq=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var VC={};Ge(VC,{json:()=>Wq});var Wq=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var zC={};Ge(zC,{json:()=>Uq});var Uq=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var WC={};Ge(WC,{json:()=>Gq});var Gq=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var UC={};Ge(UC,{json:()=>Hq});var Hq=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var GC={};Ge(GC,{json:()=>Kq});var Kq=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}];var HC={};Ge(HC,{json:()=>qq});var qq=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var KC={};Ge(KC,{json:()=>jq});var jq=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var qC={};Ge(qC,{json:()=>Xq});var Xq=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}];var jC={};Ge(jC,{json:()=>Yq});var Yq=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}];var XC={};Ge(XC,{json:()=>Qq});var Qq=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var YC={};Ge(YC,{json:()=>Zq});var Zq=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}];var QC={};Ge(QC,{json:()=>Jq});var Jq=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var ZC={};Ge(ZC,{json:()=>e6});var e6=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var JC={};Ge(JC,{json:()=>t6});var t6=[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var eS={};Ge(eS,{json:()=>r6});var r6=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var ml=class{constructor(){let e=[PC,MC,LC,BC,VC,zC,WC,UC,GC,HC,KC,qC,jC,XC,YC,QC,ZC,JC,eS],t=[].concat(...e.map(o=>o.json));this.opMappers=t.reduce((o,n)=>(o[n.tfOpName]=n,o),{})}static get Instance(){return this._instance||(this._instance=new this)}transformGraph(e,t={}){let o=e.node,n=[],s=[],a=[],i=o.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?n.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&a.push(h[g.name]),h),{}),p=[],u=[],c={},l={};t!=null&&(c=this.mapSignatureEntries(t.inputs),l=this.mapSignatureEntries(t.outputs));let m=Object.keys(i);m.forEach(h=>{let g=i[h];g.inputNames.forEach((x,b)=>{let[C,,w]=as(x),k=i[C];if(k.outputs!=null){let _=k.outputs.indexOf(w);if(_!==-1){let E=`${C}:${_}`;g.inputNames[b]=E}}g.inputs.push(k),k.children.push(g)})}),Object.keys(l).length===0?m.forEach(h=>{let g=i[h];g.children.length===0&&u.push(g)}):Object.keys(l).forEach(h=>{let[g]=as(h),x=i[g];x!=null&&(x.signatureKey=l[h],u.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=as(h),x=i[g];x&&(x.signatureKey=c[h],p.push(x))}):p=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let f={nodes:i,inputs:p,outputs:u,weights:s,placeholders:n,signature:t,functions:d};return a.length>0&&(f.initNodes=a),f}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,o)=>(t[e[o].name]=o,t),{})}mapNode(e){let t=Gd(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let o={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith("^")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(o.inputParams=t.inputs.reduce((n,s)=>(n[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},n),{})),t.attrs!=null&&(o.attrParams=t.attrs.reduce((n,s)=>{let a=s.type,i;switch(s.type){case"string":i=Kd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Kd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":i=Jd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Jd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":i=jd(e.attr,s.tfName,s.defaultValue||0),i===void 0&&s.tfDeprecatedName&&(i=jd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":i=Zd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Zd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":i=qd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=qd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":i=tf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=tf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":i=Qd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Qd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":i=ef(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=ef(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":i=Xd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Xd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":i=Yd(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=Yd(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":i=AN(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=AN(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${e.op}`)}return n[s.name]={value:i,type:a},n},{})),o}mapFunction(e){let t=e.nodeDef,o=[],n=[],s={};t!=null&&(s=t.reduce((l,m)=>(l[m.name]=this.mapNode(m),m.op==="Const"&&n.push(l[m.name]),l),{}));let a=[],i=[];e.signature.inputArg.forEach(l=>{let[m]=as(l.name),d={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:tS(l.type),type:"dtype"}},children:[]};d.signatureKey=l.name,a.push(d),s[m]=d}),Object.keys(s).forEach(l=>{let m=s[l];m.inputNames.forEach((d,f)=>{let[h,,g]=as(d),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let C=`${h}:${b}`;m.inputNames[f]=C}}m.inputs.push(x),x.children.push(m)})});let u=e.ret;e.signature.outputArg.forEach(l=>{let[m,d]=as(u[l.name]),f=s[m];f!=null&&(f.defaultOutput=d,i.push(f))});let c=this.mapArgsToSignature(e);return{nodes:s,inputs:a,outputs:i,weights:n,placeholders:o,signature:c}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o),t),{}),outputs:e.signature.outputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o,e.ret),t),{})}}mapArgToTensorInfo(e,t){let o=e.name;return t!=null&&(o=t[o]),{name:o,dtype:e.type}}};function o6(r){let e=O().global;if(typeof e.atob!="undefined")return e.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function RN(r,e){let t=Array.isArray(r)?String.fromCharCode.apply(null,r):o6(r);return e?t:t.toLowerCase()}function Kd(r,e,t,o=!1){let n=r[e];return n!=null?RN(n.s,o):t}function qd(r,e,t){let o=r[e];return o?o.b:t}function jd(r,e,t){let o=r[e]||{},n=o.i!=null?o.i:o.f!=null?o.f:t;return typeof n=="number"?n:parseInt(n,10)}function tS(r){switch(typeof r=="string"&&(r=ao[r]),r){case ao.DT_FLOAT:case ao.DT_HALF:return"float32";case ao.DT_INT32:case ao.DT_INT64:case ao.DT_INT8:case ao.DT_UINT8:return"int32";case ao.DT_BOOL:return"bool";case ao.DT_DOUBLE:return"float32";case ao.DT_STRING:return"string";default:return null}}function AN(r,e,t){let o=r[e];return o&&o.func?o.func.name:t}function Xd(r,e,t){let o=r[e];return o&&o.type?tS(o.type):t}function Yd(r,e,t){let o=r[e];return o&&o.list&&o.list.type?o.list.type.map(n=>tS(n)):t}function DN(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(e=>typeof e.size=="number"?e.size:parseInt(e.size,10)):[]}function Qd(r,e,t){let o=r[e];return o&&o.shape?DN(o.shape):t}function Zd(r,e,t){let o=r[e];return o?((o.list.f&&o.list.f.length?o.list.f:o.list.i)||[]).map(n=>typeof n=="number"?n:parseInt(n,10)):t}function Jd(r,e,t,o=!1){let n=r[e];return n&&n.list&&n.list.s?n.list.s.map(s=>RN(s,o)):t}function ef(r,e,t){let o=r[e];return o&&o.list&&o.list.shape?o.list.shape.map(n=>DN(n)):t}function tf(r,e,t){let o=r[e];return o&&o.list&&o.list.b?o.list.b:t}var rf=class{constructor(e,t,o){this.node=e,this.tensorMap=t,this.context=o,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,s)=>(n[s]=this.getAttr(s),n),{}))}getInput(e){return Gt(e,this.tensorMap,this.context)}getAttr(e,t){let o=this.node.rawAttrs[e];if(o.tensor!=null)return Gt(e,this.tensorMap,this.context);if(o.i!=null||o.f!=null)return jd(this.node.rawAttrs,e,t);if(o.s!=null)return Kd(this.node.rawAttrs,e,t);if(o.b!=null)return qd(this.node.rawAttrs,e,t);if(o.shape!=null)return Qd(this.node.rawAttrs,e,t);if(o.type!=null)return Xd(this.node.rawAttrs,e,t);if(o.list!=null){if(o.list.i!=null||o.list.f!=null)return Zd(this.node.rawAttrs,e,t);if(o.list.s!=null)return Jd(this.node.rawAttrs,e,t);if(o.list.shape!=null)return ef(this.node.rawAttrs,e,t);if(o.list.b!=null)return tf(this.node.rawAttrs,e,t);if(o.list.type!=null)return Yd(this.node.rawAttrs,e,t)}return t}};var Ye={};Ge(Ye,{OP_SCOPE_SUFFIX:()=>jb,abs:()=>Yt,acos:()=>G0,acosh:()=>H0,add:()=>be,addN:()=>K0,all:()=>q0,any:()=>j0,argMax:()=>X0,argMin:()=>Y0,asin:()=>Q0,asinh:()=>Z0,atan:()=>J0,atan2:()=>ev,atanh:()=>tv,avgPool:()=>qm,avgPool3d:()=>nv,basicLSTMCell:()=>sv,batchNorm:()=>_i,batchNorm2d:()=>iv,batchNorm3d:()=>uv,batchNorm4d:()=>pv,batchToSpaceND:()=>jm,bincount:()=>Xm,booleanMaskAsync:()=>VG,broadcastArgs:()=>cv,broadcastTo:()=>$i,buffer:()=>le,cast:()=>je,ceil:()=>lv,clipByValue:()=>mv,clone:()=>Lr,complex:()=>Tr,concat:()=>xt,concat1d:()=>dv,concat2d:()=>fv,concat3d:()=>hv,concat4d:()=>gv,conv1d:()=>xv,conv2d:()=>Ei,conv2dTranspose:()=>yv,conv3d:()=>bv,conv3dTranspose:()=>Sv,cos:()=>wv,cosh:()=>Iv,cosineWindow:()=>al,cumprod:()=>vv,cumsum:()=>kv,denseBincount:()=>Nv,depthToSpace:()=>Tv,depthwiseConv2d:()=>Bp,diag:()=>_v,dilation2d:()=>$v,div:()=>He,divNoNan:()=>Av,dot:()=>Rv,dropout:()=>ZG,einsum:()=>Dv,elu:()=>Jm,enclosingPowerOfTwo:()=>CC,equal:()=>Zm,erf:()=>Fv,euclideanNorm:()=>Mv,exp:()=>So,expandDims:()=>Ra,expm1:()=>Lv,eye:()=>ed,fft:()=>zp,fill:()=>Us,floor:()=>td,floorDiv:()=>Km,fused:()=>SC,gather:()=>rd,gatherND:()=>YG,greater:()=>uu,greaterEqual:()=>od,ifft:()=>du,imag:()=>Ri,image:()=>eK,inTopKAsync:()=>eH,irfft:()=>Td,isFinite:()=>Bv,isInf:()=>Vv,isNaN:()=>zv,leakyRelu:()=>nd,less:()=>Wv,lessEqual:()=>Vp,linalg:()=>tK,linspace:()=>Uv,localResponseNormalization:()=>Gv,log:()=>Da,log1p:()=>sd,logSigmoid:()=>Hv,logSoftmax:()=>Kv,logSumExp:()=>ud,logicalAnd:()=>pu,logicalNot:()=>pd,logicalOr:()=>cd,logicalXor:()=>qv,losses:()=>rK,lowerBound:()=>jv,matMul:()=>Xe,max:()=>Gs,maxPool:()=>md,maxPool3d:()=>Xv,maxPoolWithArgmax:()=>Yv,maximum:()=>dd,mean:()=>cu,meshgrid:()=>Qv,min:()=>rl,minimum:()=>fd,mirrorPad:()=>Zv,mod:()=>Jv,moments:()=>ek,movingAverage:()=>UG,mul:()=>ne,multiRNNCell:()=>tk,multinomial:()=>rk,neg:()=>Cr,norm:()=>iu,notEqual:()=>hd,oneHot:()=>nl,ones:()=>Hs,onesLike:()=>ok,op:()=>N,outerProduct:()=>nk,pad:()=>Ks,pad1d:()=>sk,pad2d:()=>ak,pad3d:()=>ik,pad4d:()=>uk,pool:()=>pk,pow:()=>Aa,prelu:()=>xd,print:()=>Hm,prod:()=>ck,raggedGather:()=>lk,raggedRange:()=>mk,raggedTensorToTensor:()=>dk,rand:()=>fk,randomGamma:()=>Ok,randomNormal:()=>Id,randomStandardNormal:()=>Pk,randomUniform:()=>vd,range:()=>Di,real:()=>Fa,reciprocal:()=>Mk,relu:()=>Fi,relu6:()=>kd,reshape:()=>W,reverse:()=>no,reverse1d:()=>Lk,reverse2d:()=>Bk,reverse3d:()=>Vk,reverse4d:()=>zk,rfft:()=>Wp,round:()=>Nd,rsqrt:()=>Wk,scalar:()=>Ce,scatterND:()=>HG,searchSorted:()=>ol,selu:()=>Uk,separableConv2d:()=>Gk,setdiff1dAsync:()=>Hk,sigmoid:()=>Ws,sign:()=>Kk,signal:()=>JH,sin:()=>qk,sinh:()=>jk,slice:()=>Ke,slice1d:()=>Xk,slice2d:()=>Yk,slice3d:()=>Qk,slice4d:()=>Zk,softmax:()=>Jk,softplus:()=>id,spaceToBatchND:()=>gd,sparse:()=>oK,sparseToDense:()=>jG,spectral:()=>ZH,split:()=>Oa,sqrt:()=>$r,square:()=>Qt,squaredDifference:()=>_d,squeeze:()=>Up,stack:()=>Sr,step:()=>$d,stridedSlice:()=>e1,string:()=>nK,sub:()=>ke,sum:()=>et,tan:()=>t1,tanh:()=>tl,tensor:()=>nr,tensor1d:()=>dr,tensor2d:()=>Oi,tensor3d:()=>Ed,tensor4d:()=>r1,tensor5d:()=>o1,tensor6d:()=>n1,tile:()=>Ai,topk:()=>s1,transpose:()=>Gp,truncatedNormal:()=>a1,unique:()=>i1,unsortedSegmentSum:()=>u1,unstack:()=>so,upperBound:()=>p1,variable:()=>c1,where:()=>ss,whereAsync:()=>Rd,zeros:()=>Br,zerosLike:()=>Ut});var FN=(r,e,t,o=Ye)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[o.add(I("a",r,e,t),I("b",r,e,t))];case"AddN":return[o.addN(I("tensors",r,e,t))];case"FloorMod":case"Mod":return[o.mod(I("a",r,e,t),I("b",r,e,t))];case"Mul":return[o.mul(I("a",r,e,t),I("b",r,e,t))];case"RealDiv":case"Div":return[o.div(I("a",r,e,t),I("b",r,e,t))];case"DivNoNan":return[o.divNoNan(I("a",r,e,t),I("b",r,e,t))];case"FloorDiv":return[o.floorDiv(I("a",r,e,t),I("b",r,e,t))];case"Sub":return[o.sub(I("a",r,e,t),I("b",r,e,t))];case"Minimum":return[o.minimum(I("a",r,e,t),I("b",r,e,t))];case"Maximum":return[o.maximum(I("a",r,e,t),I("b",r,e,t))];case"Pow":return[o.pow(I("a",r,e,t),I("b",r,e,t))];case"SquaredDifference":return[o.squaredDifference(I("a",r,e,t),I("b",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ON=(r,e,t,o=Ye)=>{switch(r.op){case"Abs":case"ComplexAbs":return[o.abs(I("x",r,e,t))];case"Acos":return[o.acos(I("x",r,e,t))];case"Acosh":return[o.acosh(I("x",r,e,t))];case"Asin":return[o.asin(I("x",r,e,t))];case"Asinh":return[o.asinh(I("x",r,e,t))];case"Atan":return[o.atan(I("x",r,e,t))];case"Atan2":return[o.atan2(I("x",r,e,t),I("y",r,e,t))];case"Atanh":return[o.atanh(I("x",r,e,t))];case"Ceil":return[o.ceil(I("x",r,e,t))];case"Complex":return[o.complex(I("real",r,e,t),I("imag",r,e,t))];case"Cos":return[o.cos(I("x",r,e,t))];case"Cosh":return[o.cosh(I("x",r,e,t))];case"Elu":return[o.elu(I("x",r,e,t))];case"Erf":return[o.erf(I("x",r,e,t))];case"Exp":return[o.exp(I("x",r,e,t))];case"Expm1":return[o.expm1(I("x",r,e,t))];case"Floor":return[o.floor(I("x",r,e,t))];case"Log":return[o.log(I("x",r,e,t))];case"Log1p":return[o.log1p(I("x",r,e,t))];case"Imag":return[o.imag(I("x",r,e,t))];case"Neg":return[o.neg(I("x",r,e,t))];case"Reciprocal":return[o.reciprocal(I("x",r,e,t))];case"Real":return[o.real(I("x",r,e,t))];case"Relu":return[o.relu(I("x",r,e,t))];case"Round":return[o.round(I("x",r,e,t))];case"Selu":return[o.selu(I("x",r,e,t))];case"Sigmoid":return[o.sigmoid(I("x",r,e,t))];case"Sin":return[o.sin(I("x",r,e,t))];case"Sign":return[o.sign(I("x",r,e,t))];case"Sinh":return[o.sinh(I("x",r,e,t))];case"Softplus":return[o.softplus(I("x",r,e,t))];case"Sqrt":return[o.sqrt(I("x",r,e,t))];case"Square":return[o.square(I("x",r,e,t))];case"Tanh":return[o.tanh(I("x",r,e,t))];case"Tan":return[o.tan(I("x",r,e,t))];case"ClipByValue":return[o.clipByValue(I("x",r,e,t),I("clipValueMin",r,e,t),I("clipValueMax",r,e,t))];case"Relu6":return[o.relu6(I("x",r,e,t))];case"Rsqrt":return[o.rsqrt(Gt(r.inputNames[0],e,t))];case"Prod":return[o.prod(I("x",r,e,t),I("axes",r,e,t))];case"LeakyRelu":return[o.leakyRelu(I("x",r,e,t),I("alpha",r,e,t))];case"Prelu":return[o.prelu(I("x",r,e,t),I("alpha",r,e,t))];case"IsNan":return[o.isNaN(Gt(r.inputNames[0],e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Vr(r,e,t=""){if(!(typeof r=="number"||typeof e=="number")){y.assert(r.length===e.length,()=>t+` Shapes ${r} and ${e} must match`);for(let o=0;ot+` Shapes ${r} and ${e} must match`)}}}function PN(r){return!(typeof r=="number"||r.some(e=>e<0))}function Hp(r,e,t){let o=of(r,t),n=!PN(o);if(n&&e.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${o}`);if(n&&e.forEach(s=>{o=of(s.shape,o)}),!PN(o))throw new Error(`Non-fully-defined elementShape: ${o}`);return o}function of(r,e){if(typeof r=="number")return e;if(typeof e=="number")return r;if(r.length!==e.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${e}`);let t=[];for(let o=0;o=0&&s>=0&&n!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${e}`);t[o]=n>=0?n:s}return t}var nf=class{constructor(e,t,o,n,s,a,i){this.name=e,this.dtype=t,this.maxSize=o,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=a,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=Ce(0),_r(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let o=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, - because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Vr(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),o.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(o.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);o.tensor=t,_r(t),o.written=!0,this.tensors[e]=o}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((o,n)=>this.write(o,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${o} vs. ${this.maxSize})`);this.writeMany(e,so(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let o=0,n=e.map(p=>(o+=p,o));if(o!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${s.shape}`);let a={data:o,indices:n,segmentIds:s};return T.runKernel(Ui,a)}var bN=N({sparseSegmentSum_:tj});function rj(r,e,t,o,n,s,a,i){let p=v(r,"data","stringNGrams","string");if(p.dtype!=="string")throw new Error("Data must be of datatype string");if(p.shape.length!==1)throw new Error(`Data must be a vector, saw: ${p.shape}`);let u=v(e,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:t,nGramWidths:o,leftPad:n,rightPad:s,padWidth:a,preserveShortSequences:i},l={data:p,dataSplits:u},m=T.runKernel(ma,l,c);return{nGrams:m[0],nGramsSplits:m[1]}}var CN=N({stringNGrams_:rj});function oj(r,e,t=!0){let o=v(r,"input","stringSplit","string"),n=v(e,"delimiter","stringSplit","string");if(o.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${o.shape}`);if(n.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${n.shape}`);let s={skipEmpty:t},a={input:o,delimiter:n},i=T.runKernel(Hi,a,s);return{indices:i[0],values:i[1],shape:i[2]}}var wN=N({stringSplit_:oj});function nj(r,e){let t=v(r,"input","stringToHashBucketFast","string"),o={numBuckets:e};if(e<=0)throw new Error("Number of buckets must be at least 1");let n={input:t};return T.runKernel(Ki,n,o)}var SN=N({stringToHashBucketFast_:nj});function sj(r,e,t,o=!0){let n=v(r,"input","staticRegexReplace","string"),s={pattern:e,rewrite:t,replaceGlobal:o};return T.runKernel(_u,{x:n},s)}var IN=N({staticRegexReplace_:sj});var aj={fft:pc,ifft:Hu,rfft:cc,irfft:Wd},ij={hammingWindow:z1,hannWindow:jd,frame:Xd,stft:V1},uj={flipLeftRight:U1,grayscaleToRGB:G1,resizeNearestNeighbor:tN,resizeBilinear:eN,rotateWithOffset:H1,cropAndResize:W1,nonMaxSuppression:K1,nonMaxSuppressionAsync:X1,nonMaxSuppressionWithScore:Y1,nonMaxSuppressionWithScoreAsync:Q1,nonMaxSuppressionPadded:Z1,nonMaxSuppressionPaddedAsync:J1,threshold:rN,transform:oN},pj={bandPart:nN,gramSchmidt:sN,qr:iN},cj={absoluteDifference:uN,computeWeightedLoss:cr,cosineDistance:pN,hingeLoss:cN,huberLoss:lN,logLoss:mN,meanSquaredError:dN,sigmoidCrossEntropy:fN,softmaxCrossEntropy:hN},lj={sparseFillEmptyRows:gN,sparseReshape:xN,sparseSegmentMean:yN,sparseSegmentSum:bN},mj={stringNGrams:CN,stringSplit:wN,stringToHashBucketFast:SN,staticRegexReplace:IN};var vN={};He(vN,{Serializable:()=>$l,SerializationMap:()=>Na,registerClass:()=>Lw});var $l=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Na=class{constructor(){this.classNameMap={}}static getMap(){return Na.instance==null&&(Na.instance=new Na),Na.instance}static register(e){Na.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function Lw(r){$(r.className!=null,()=>"Class being registered does not have the static className property defined."),$(typeof r.className=="string",()=>"className is required to be a string, but got type "+typeof r.className),$(r.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),Na.register(r)}var kr=class extends $l{minimize(e,t=!1,o){let{value:n,grads:s}=this.computeGradients(e,o);if(o!=null){let a=o.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ot(s),t?n:(n.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return vw(e,t)}dispose(){this.iterations_!=null&&Ot(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:ke(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(kr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var Yu=class extends kr{static get className(){return"Adadelta"}constructor(e,t,o=null){super(),this.learningRate=e,this.rho=t,this.epsilon=o,this.accumulatedGrads=[],this.accumulatedUpdates=[],o==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accum_grad`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${o}/accum_var`,variable:De(()=>Ht(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedGrads[n].variable,u=this.accumulatedUpdates[n].variable;De(()=>{let c=be(se(p,this.rho),se(Jt(i),1-this.rho)),l=se(Ke(Rr(be(u,this.epsilon)),Rr(be(p,this.epsilon))),i),m=be(se(u,this.rho),se(Jt(l),1-this.rho));p.assign(c),u.assign(m);let d=be(se(l,-this.learningRate),s);s.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ot(this.accumulatedGrads.map(e=>e.variable)),Ot(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,o=!1;this.accumulatedGrads=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedUpdates=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};var Qu=class extends kr{static get className(){return"Adagrad"}constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${o}/accumulator`,variable:De(()=>Sa(s.shape,this.initialAccumulatorValue).variable(!1))});let a=Array.isArray(e)?e[n].tensor:e[o];if(a==null)return;let i=this.accumulatedGrads[n].variable;De(()=>{let p=be(i,Jt(a));i.assign(p);let u=be(se(Ke(a,Rr(be(p,T.backend.epsilon()))),-this.learningRate),s);s.assign(u)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Ot(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};var Zu=class extends kr{static get className(){return"Adam"}constructor(e,t,o,n=null){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],De(()=>{this.accBeta1=ke(t).variable(),this.accBeta2=ke(o).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);De(()=>{let o=Te(1,this.accBeta1),n=Te(1,this.accBeta2);t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:De(()=>Ht(i).variable(p))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:De(()=>Ht(i).variable(p))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,m=be(se(c,this.beta1),se(u,1-this.beta1)),d=be(se(l,this.beta2),se(Jt(u),1-this.beta2)),f=Ke(m,o),h=Ke(d,n);c.assign(m),l.assign(d);let g=be(se(Ke(f,be(Rr(h),this.epsilon)),-this.learningRate),i);i.assign(g)}),this.accBeta1.assign(se(this.accBeta1,this.beta1)),this.accBeta2.assign(se(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&Ot(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),De(()=>{this.accBeta1.assign(ri(this.beta1,this.iterations_+1)),this.accBeta2.assign(ri(this.beta2,this.iterations_+1))});let t=e.length/2,o=!1;this.accumulatedFirstMoment=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};var Ju=class extends kr{static get className(){return"Adamax"}constructor(e,t,o,n=null,s=0){super(),this.learningRate=e,this.beta1=t,this.beta2=o,this.epsilon=n,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],De(()=>{this.iteration=ke(0).variable(),this.accBeta1=ke(t).variable()}),n==null&&(this.epsilon=T.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(o=>o.name):Object.keys(e);De(()=>{let o=Te(1,this.accBeta1),n=Ke(-this.learningRate,be(se(this.iteration,this.decay),1));t.forEach((s,a)=>{let i=T.registeredVariables[s],p=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ht(i).variable(p)}),this.accumulatedWeightedInfNorm[a]==null&&(this.accumulatedWeightedInfNorm[a]={originalName:`${s}/v`,variable:Ht(i).variable(p)});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,m=be(se(c,this.beta1),se(u,1-this.beta1)),d=se(l,this.beta2),f=Zt(u),h=Ed(d,f);c.assign(m),l.assign(h);let g=be(se(Ke(n,o),Ke(m,be(h,this.epsilon))),i);i.assign(g)}),this.iteration.assign(be(this.iteration,1)),this.accBeta1.assign(se(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Ot(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&Ot(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};var ii=class extends kr{static get className(){return"SGD"}constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=Array.isArray(e)?e[n].tensor:e[o];if(s==null)return;let a=T.registeredVariables[o];De(()=>{let i=be(se(this.c,s),a);a.assign(i)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Er(ke(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};var ep=class extends ii{static get className(){return"Momentum"}constructor(e,t,o=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=o,this.accumulations=[],this.m=ke(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o];this.accumulations[n]==null&&(this.accumulations[n]={originalName:`${o}/momentum`,variable:De(()=>Ht(s).variable(!1))});let a=this.accumulations[n].variable,i=Array.isArray(e)?e[n].tensor:e[o];i!=null&&De(()=>{let p,u=be(se(this.m,a),i);this.useNesterov?p=be(se(this.c,be(i,se(u,this.m))),s):p=be(se(this.c,u),s),a.assign(u),s.assign(p)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Ot(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(o=>({originalName:o.name,variable:o.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};var tp=class extends kr{static get className(){return"RMSProp"}constructor(e,t=.9,o=0,n=null,s=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=o,this.epsilon=n,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,n==null&&(this.epsilon=T.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(o=>o.name):Object.keys(e)).forEach((o,n)=>{let s=T.registeredVariables[o],a=!1;this.accumulatedMeanSquares[n]==null&&(this.accumulatedMeanSquares[n]={originalName:`${o}/rms`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedMoments[n]==null&&(this.accumulatedMoments[n]={originalName:`${o}/momentum`,variable:De(()=>Ht(s).variable(a))}),this.accumulatedMeanGrads[n]==null&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${o}/mg`,variable:De(()=>Ht(s).variable(a))});let i=Array.isArray(e)?e[n].tensor:e[o];if(i==null)return;let p=this.accumulatedMeanSquares[n].variable,u=this.accumulatedMoments[n].variable;De(()=>{let c=be(se(p,this.decay),se(Jt(i),1-this.decay));if(this.centered){let l=this.accumulatedMeanGrads[n].variable,m=be(se(l,this.decay),se(i,1-this.decay)),d=Ke(se(i,this.learningRate),Rr(Te(c,be(Jt(m),this.epsilon)))),f=be(se(u,this.momentum),d);p.assign(c),l.assign(m),u.assign(f);let h=Te(s,f);s.assign(h)}else{let l=be(se(p,this.decay),se(Jt(i),1-this.decay)),m=be(se(u,this.momentum),Ke(se(i,this.learningRate),Rr(be(l,this.epsilon))));p.assign(l),u.assign(m);let d=Te(s,m);s.assign(d)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Ot(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Ot(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&Ot(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,o=!1;this.accumulatedMeanSquares=e.slice(0,t).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.accumulatedMoments=e.slice(t,t*2).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(n=>({originalName:n.name,variable:n.tensor.variable(o)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};var dj=[Yu,Qu,Zu,Ju,ep,tp,ii];function kN(){for(let r of dj)Lw(r)}var pi={};He(pi,{browserFiles:()=>TN,browserHTTPRequest:()=>EN,concatenateArrayBuffers:()=>tc,copyModel:()=>ok,decodeWeights:()=>rd,encodeWeights:()=>V0,fromMemory:()=>RN,fromMemorySync:()=>Gw,getLoadHandlers:()=>q0,getModelArtifactsForJSON:()=>rc,getModelArtifactsForJSONSync:()=>mw,getModelArtifactsInfoForJSON:()=>ga,getSaveHandlers:()=>K0,getWeightSpecs:()=>nd,http:()=>tf,isHTTPScheme:()=>ef,listModels:()=>tk,loadWeights:()=>_N,moveModel:()=>nk,registerLoadRouter:()=>H0,registerSaveRouter:()=>G0,removeModel:()=>rk,weightsLoaderFactory:()=>Ww,withSaveHandler:()=>DN,withSaveHandlerSync:()=>AN});var fj="model",hj=".json",gj=".weights.bin";function NN(r){return new Promise(e=>setTimeout(e)).then(r)}var ui=class{constructor(e){if(!P().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(ui.URL_SCHEME)&&(e=e.slice(ui.URL_SCHEME.length)),(e==null||e.length===0)&&(e=fj),this.modelJsonFileName=e+hj,this.weightDataFileName=e+gj}async save(e){if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");let t=window.URL.createObjectURL(new Blob([e.weightData],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{let o=[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}],n=od(e,o),s=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:"application/json"})),a=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=s,await NN(()=>a.dispatchEvent(new MouseEvent("click"))),e.weightData!=null){let i=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;i.download=this.weightDataFileName,i.href=t,await NN(()=>i.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:ga(e)}}}};ui.URL_SCHEME="downloads://";var Bw=class{constructor(e){if(e==null||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{let o=new FileReader;o.onload=n=>{let s=JSON.parse(n.target.result),a=s.modelTopology;if(a==null){t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));return}if(s.weightsManifest==null){t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));return}if(this.weightsFiles.length===0){e({modelTopology:a});return}let p=rc(s,u=>this.loadWeights(u));e(p)},o.onerror=n=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),o.readAsText(this.jsonFile)})}loadWeights(e){let t=[],o=[];for(let a of e)t.push(...a.weights),o.push(...a.paths);let n=this.checkManifestAndWeightFiles(e),s=o.map(a=>this.loadWeightsFile(a,n[a]));return Promise.all(s).then(a=>[t,tc(a)])}loadWeightsFile(e,t){return new Promise((o,n)=>{let s=new FileReader;s.onload=a=>{let i=a.target.result;o(i)},s.onerror=a=>n(`Failed to weights data from file of path '${e}'.`),s.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){let t=[],o=this.weightsFiles.map(s=>lw(s.name)),n={};for(let s of e)s.paths.forEach(a=>{let i=lw(a);if(t.indexOf(i)!==-1)throw new Error(`Duplicate file basename found in weights manifest: '${i}'`);if(t.push(i),o.indexOf(i)===-1)throw new Error(`Weight file with basename '${i}' is not provided.`);n[a]=this.weightsFiles[o.indexOf(i)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return n}},xj=r=>P().getBool("IS_BROWSER")&&!Array.isArray(r)&&r.startsWith(ui.URL_SCHEME)?yj(r.slice(ui.URL_SCHEME.length)):null;ft.registerSaveRouter(xj);function yj(r="model"){return new ui(r)}function TN(r){return new Bw(r)}var Jd=class{constructor(e){if(this.shards=[],this.previousShardIndex=0,e instanceof Array||(e=[e]),e=e.map(o=>Pt(o)?o.buffer:o),e.length===0)return;this.bufferUniformSize=e[0].byteLength;let t=0;for(let o=0;o=this.byteLength)return-1;if(this.bufferUniformSize!=null)return this.previousShardIndex=Math.floor(e/this.bufferUniformSize),this.previousShardIndex;function t(n){return e=n.end?1:0}if(t(this.shards[this.previousShardIndex])===0)return this.previousShardIndex;let o=bj(this.shards,t);return o===-1?-1:(this.previousShardIndex=o,this.previousShardIndex)}};function bj(r,e){let t=0,o=r.length;for(;t<=o;){let n=Math.floor((o-t)/2)+t,s=e(r[n]);if(s===0)return n;s<0?o=n:t=n+1}return-1}function zw(r,e,t,o){a(r),t=t==null?0:t,o=o==null?1:o,i(t,o);let n=0,s=p=>(p.then(u=>{let c=t+ ++n/r.length*(o-t);return e(c),u}),p);function a(p){$(p!=null&&Array.isArray(p)&&p.length>0,()=>"promises must be a none empty array")}function i(p,u){$(p>=0&&p<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${p}`),$(u>=0&&u<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${u}`),$(u>=p,()=>`startFraction must be no more than endFraction, but got startFraction ${p} and endFraction ${u}`)}return Promise.all(r.map(s))}async function Vw(r,e){e==null&&(e={});let t=e.fetchFunc==null?P().platform.fetch:e.fetchFunc,o=r.map(l=>t(l,e.requestInit,{isBinary:!0})),n=0,s=.5,i=(e.onProgress==null?await Promise.all(o):await zw(o,e.onProgress,n,s)).map(l=>l.arrayBuffer()),p=.5,u=1;return e.onProgress==null?await Promise.all(i):await zw(i,e.onProgress,p,u)}async function _N(r,e="",t,o){return Ww(a=>Vw(a,{requestInit:o}))(r,e,t)}function Ww(r){return async(e,t="",o)=>{let n=e.map(()=>!1),s={},a=o!=null?o.map(()=>!1):[],i=[];if(e.forEach((d,f)=>{let h=0;d.weights.forEach(g=>{let x="quantization"in g?g.quantization.dtype:g.dtype,b=Cl[x]*Ue(g.shape),w=()=>{n[f]=!0,s[f]==null&&(s[f]=[]),s[f].push({manifestEntry:g,groupOffset:h,sizeBytes:b})};o!=null?o.forEach((S,k)=>{S===g.name&&(w(),a[k]=!0)}):w(),i.push(g.name),h+=b})}),!a.every(d=>d)){let d=o.filter((f,h)=>!a[h]);throw new Error(`Could not find weights in manifest with names: ${d.join(", ")}. +Manifest JSON has weights with names: ${i.join(", ")}.`)}let p=n.reduce((d,f,h)=>(f&&d.push(h),d),[]),u=[];p.forEach(d=>{e[d].paths.forEach(f=>{let h=t+(t.endsWith("/")?"":"/")+f;u.push(h)})});let c=await r(u),l={},m=0;return p.forEach(d=>{let f=e[d].paths.length,h=new Jd(c.slice(m,m+f));s[d].forEach(x=>{let b=h.slice(x.groupOffset,x.groupOffset+x.sizeBytes),w=rd(b,[x.manifestEntry]);for(let S in w)l[S]=w[S]}),m+=f}),l}}var Cj="application/octet-stream",wj="application/json",El=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?($(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=P().platform.fetch,$(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&$(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let o=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],n=od(e,o);t.body.append("model.json",new Blob([JSON.stringify(n)],{type:wj}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:Cj}),"model.weights.bin");let s=await this.fetch(this.path,t);if(s.ok)return{modelArtifactsInfo:ga(e),responses:[s]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${s.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(s){let a=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?a+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":a+=" Please make sure the server is serving valid JSON for this request.",new Error(a)}let o=t.modelTopology,n=t.weightsManifest;if(o==null&&n==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return rc(t,s=>this.loadWeights(s))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[o,n]=Sj(t),s=this.weightPathPrefix||o,a=nd(e),i=[],p=[];for(let c of e)for(let l of c.paths)this.weightUrlConverter!=null?p.push(this.weightUrlConverter(l)):i.push(s+l+n);this.weightUrlConverter&&i.push(...await Promise.all(p));let u=await Vw(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[a,tc(u)]}};El.URL_SCHEME_REGEX=/^https?:\/\//;function Sj(r){let e=r.lastIndexOf("/"),t=r.lastIndexOf("?"),o=r.substring(0,e),n=t>e?r.substring(t):"";return[o+"/",n]}function ef(r){return r.match(El.URL_SCHEME_REGEX)!=null}var $N=(r,e)=>{if(typeof fetch=="undefined"&&(e==null||e.fetchFunc==null))return null;{let t=!0;if(Array.isArray(r)?t=r.every(o=>ef(o)):t=ef(r),t)return tf(r,e)}return null};ft.registerSaveRouter($N);ft.registerLoadRouter($N);function tf(r,e){return new El(r,e)}function EN(r,e){return tf(r,e)}var Rl=class{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}},rf=class{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}},Uw=class{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}};function RN(r,e,t,o){let n=arguments;return new Uw(Gw(...n))}function Gw(r,e,t,o){return arguments.length===1?r.modelTopology!=null||r.weightSpecs!=null?new Rl(r):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Rl({modelTopology:r})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Rl({modelTopology:r,weightSpecs:e,weightData:t,trainingConfig:o}))}function DN(r){return new rf(r)}function AN(r){return new rf(r)}var PN={};He(PN,{confusionMatrix:()=>FN});function Ij(r,e,t){let o=v(r,"labels","confusionMatrix"),n=v(e,"predictions","confusionMatrix");$(t==null||t>0&&Number.isInteger(t),()=>`If provided, numClasses must be a positive integer, but got ${t}`),$(o.rank===1,()=>`Expected the rank of labels to be 1, but got ${o.rank}`),$(n.rank===1,()=>`Expected the rank of predictions to be 1, but got ${n.rank}`),$(o.shape[0]===n.shape[0],()=>`Mismatch in the number of examples: ${o.shape[0]} vs. ${n.shape[0]}. Labels and predictions should have the same number of elements.`),$(t>0&&Number.isInteger(t),()=>`numClasses is required to be a positive integer, but got ${t}`);let s=Tl(Ye(o,"int32"),t),a=Tl(Ye(n,"int32"),t),i=dc(s),p=Qe(i,a);return Ye(p,"int32")}var FN=N({confusionMatrix_:Ij});var MN={};He(MN,{fromPixels:()=>Ej,fromPixelsAsync:()=>_j,toPixels:()=>$j});var rp;function ON(r,e=3){if(e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(r==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let t=!1,o=!1,n=!1,s=!1,a=!1,i=!1;if(r.data instanceof Uint8Array)t=!0;else if(typeof ImageData!="undefined"&&r instanceof ImageData)o=!0;else if(typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement)n=!0;else if(typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement)s=!0;else if(r.getContext!=null)a=!0;else if(typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap)i=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${r.constructor.name}`);if(fl($u,T.backendName)!=null){let f={pixels:r},h={numChannels:e};return T.runKernel($u,f,h)}let[u,c]=n?[r.videoWidth,r.videoHeight]:[r.width,r.height],l;if(a)l=r.getContext("2d").getImageData(0,0,u,c).data;else if(o||t)l=r.data;else if(s||n||i){if(rp==null)if(typeof document=="undefined")if(typeof OffscreenCanvas!="undefined"&&typeof OffscreenCanvasRenderingContext2D!="undefined")rp=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else rp=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});rp.canvas.width=u,rp.canvas.height=c,rp.drawImage(r,0,0,u,c),l=rp.getImageData(0,0,u,c).data}let m;if(e===4)m=new Int32Array(l);else{let f=u*c;m=new Int32Array(f*e);for(let h=0;h4||s===2)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${s}`);if(t.dtype!=="float32"&&t.dtype!=="int32")throw new Error(`Unsupported type for toPixels: ${t.dtype}. Please use float32 or int32 tensors.`);let a=await t.data(),i=t.dtype==="float32"?255:1,p=new Uint8ClampedArray(n*o*4);for(let u=0;u1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${d}.`)}else if(t.dtype==="int32"&&(d<0||d>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${d}.`);s===1?(c[0]=d*i,c[1]=d*i,c[2]=d*i):c[m]=d*i}let l=u*4;p[l+0]=Math.round(c[0]),p[l+1]=Math.round(c[1]),p[l+2]=Math.round(c[2]),p[l+3]=Math.round(c[3])}if(e!=null){e.width=n,e.height=o;let u=e.getContext("2d"),c=new ImageData(p,n,o);u.putImageData(c,0,0)}return t!==r&&t.dispose(),p}var Ej=N({fromPixels_:ON});var of={};He(of,{prepareAndValidate:()=>LN});function LN(r,e){let t=r.shape.length,o=e.shape.length;if(t<1)throw new Error(`tf.gatherND() expects the input to be rank 1 or higher, but the rank was ${t}.`);if(o<1)throw new Error(`tf.gatherND() expects the indices to be rank 1 or higher, but the rank was ${o}.`);if(e.dtype!=="int32")throw new Error(`tf.gatherND() expects the indices to be int32 type, but the dtype was ${e.dtype}.`);if(e.shape[o-1]>t)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${e.shape[o-1]} vs. ${t}`);if(Ue(r.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${r.shape}.`);let n=e.shape,s=n[n.length-1],a=1;for(let l=0;ll/u),1].slice(0,s);return[p,a,u,c]}var ct={};He(ct,{assertParamsValid:()=>Dj,computeFlatOffset:()=>Mj,computeOutShape:()=>Fj,getNormalizedAxes:()=>Pj,isSliceContinous:()=>Oj,maskToAxes:()=>Aj,parseSliceParams:()=>Lj,sliceInfo:()=>Bj,startForAxis:()=>KN,startIndicesWithElidedDims:()=>UN,stopForAxis:()=>qN,stopIndicesWithElidedDims:()=>GN,stridesForAxis:()=>HN,stridesWithElidedDims:()=>zN});var Hw=-2,Rj=-1;function Dj(r,e,t){let o=r.shape.length;$(o===e.length,()=>`Error in slice${o}D: Length of begin ${e} must match the rank of the array (${o}).`),$(o===t.length,()=>`Error in slice${o}D: Length of size ${t} must match the rank of the array (${o}).`);for(let n=0;n`Error in slice${o}D: begin[${n}] + size[${n}] (${e[n]+t[n]}) would overflow input.shape[${n}] (${r.shape[n]})`)}function Aj(r){let e=[],t=0;for(;r>0;)r&1&&e.push(t),r/=2,t++;return e}function Fj(r,e,t){let o=[];for(let n=0;n0){let d=e[0],f=t+1;c=UN(a,d,f,o,r),l=GN(i,d,f,n,r),m=zN(s,d,f,r)}else for(let d=0;d-1)s[i]=0;else{let p=VN(e,t,i),u=o[p];r&1<-1)s[i]=Number.MAX_SAFE_INTEGER;else{let p=VN(e,t,i),u=o[p];r&1<0?a=Number.MIN_SAFE_INTEGER:a=Number.MAX_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),a=zp(0,a,p-1),a}function qN(r,e,t,o,n,s){let a=e[n],i=t[n]||1;(r&1<0?a=Number.MAX_SAFE_INTEGER:a=Number.MIN_SAFE_INTEGER);let p=o[n];return a<0&&(a+=p),i>0?a=zp(0,a,p):a=zp(-1,a,p-1),a}function Oj(r,e,t){let o=t.length;for(let n=0;n1){o=n;break}for(let n=o+1;n0||t[n]!==r[n])return!1;return!0}function Mj(r,e){let t=r.length>0?r[r.length-1]:1;for(let o=0;o{$(a!==-1,()=>"slice() does not support negative begin indexing.")});let s;return t==null?s=new Array(n).fill(-1):typeof t=="number"?s=[t,...new Array(n-1).fill(-1)]:t.lengtha>=0?a:($(a===-1,()=>`Negative size values should be exactly -1 but got ${a} for the slice() size at index ${i}.`),r.shape[i]-o[i])),[o,s]}function Bj(r,e,t,o,n,s,a,i,p){let u;if(o==null?(u=new Array(e.length),u.fill(1)):u=o,a!=null&&a&a-1)throw new Error("Multiple ellipses in slice is not allowed.");let c=!1,l={dims:u.length,numAddAxisAfterEllipsis:0,begin:e.slice(),end:t.slice(),strides:u.slice(),beginMask:n,endMask:s,ellipsisMask:a,newAxisMask:i,shrinkAxisMask:p};for(let w=0;w0?0:-1,m.strides[w]>0?k:k-1];if(S&&m.strides[w]<=0)throw Error("only stride 1 allowed on non-range indexing.");h=h&&m.strides[w]===1;let R=!!(m.beginMask&1<=k)throw Error(`slice index ${m.begin[w]} of dimension ${w} out of bounds.`)}else m.begin[w]=BN(m.begin[w],0,m.strides[w],k,_,E),m.end[w]=BN(m.end[w],1,m.strides[w],k,_,E);let O=m.strides[w]===1&&m.begin[w]===0&&m.end[w]===k;d=d&&O,f=f&&(w===0&&m.strides[w]===1||O)}else d=d&&m.strides[w]===1&&R,f=f&&(w===0&&m.strides[w]===1||R);let D,F=!1;if(m.beginValid&&m.endValid?(D=m.end[w]-m.begin[w],F=!0):S?(D=1,F=!0):R&&k>=0&&(m.strides[w]<0?D=-k:D=k,F=!0),F){let O;D===0||D<0!=m.strides[w]<0?O=0:O=Math.trunc(D/m.strides[w])+(D%m.strides[w]!==0?1:0),g.push(O)}else g.push(-1)}for(let w=0;w=0?x.push(g[S]):S===Hw&&x.push(1)}return{finalShapeSparse:x.filter((w,S)=>m.finalShapeGatherIndices[S]!==Hw),finalShape:x,isIdentity:d,sliceDim0:f,isSimpleSlice:h,begin:m.begin,end:m.end,strides:m.strides}}function zj(r,e){e.beginMask=0,e.endMask=0,e.shrinkAxisMask=0;let t=0;e.beginValid=r.begin!=null,e.endValid=r.end!=null,e.begin=new Array(e.dims),e.end=new Array(e.dims),e.strides=new Array(e.dims),e.finalShapeGatherIndices=[],e.finalShapeGatherIndicesSparse=[],e.inputShapeGatherIndicesSparse=new Array(e.dims);for(let o=0;o0?s[e]:s[e+1&1];{let a=r<0?o+r:r;return as[1]?s[1]:a}}var Vj="4.5.0";var Dl=class{static sgd(e){return new ii(e)}static momentum(e,t,o=!1){return new ep(e,t,o)}static rmsprop(e,t=.9,o=0,n=null,s=!1){return new tp(e,t,o,n,s)}static adam(e=.001,t=.9,o=.999,n=null){return new Zu(e,t,o,n)}static adadelta(e=.001,t=.95,o=null){return new Yu(e,t,o)}static adamax(e=.002,t=.9,o=.999,n=null,s=0){return new Ju(e,t,o,n,s)}static adagrad(e,t=.1){return new Qu(e,t)}};var CUe=Dl;var Wj=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function Kw(){return new Promise(r=>Wj(()=>r()))}var C={};He(C,{ERF_A1:()=>sX,ERF_A2:()=>aX,ERF_A3:()=>iX,ERF_A4:()=>uX,ERF_A5:()=>pX,ERF_P:()=>nX,PARALLELIZE_THRESHOLD:()=>nf,RowPartitionType:()=>Ta,SELU_SCALE:()=>oX,SELU_SCALEALPHA:()=>rX,applyActivation:()=>ju,assertAndGetBroadcastShape:()=>rt,assertAxesAreInnerMostDims:()=>yH,assertParamsConsistent:()=>Uj,assignToTypedArray:()=>hX,axesAreInnerMostDims:()=>Iw,calculateShapes:()=>v1,checkEinsumDimSizes:()=>wX,checkPadOnDimRoundingMode:()=>Lt,combineLocations:()=>e2,combineRaggedTensorToTensorShapes:()=>Hj,complexWithEvenIndex:()=>mX,complexWithOddIndex:()=>dX,computeConv2DInfo:()=>Mu,computeConv3DInfo:()=>bk,computeDefaultPad:()=>Sw,computeDilation2DInfo:()=>g4,computeOptimalWindowSize:()=>Xj,computeOutAndReduceShapes:()=>xH,computeOutShape:()=>Gj,computePool2DInfo:()=>ww,computePool3DInfo:()=>x4,convertConv2DDataFormat:()=>Ck,decodeEinsumEquation:()=>bX,eitherStridesOrDilationsAreOne:()=>gr,expandShapeToKeepDim:()=>ti,exponent:()=>xX,exponents:()=>gX,fromStringArrayToUint8:()=>WX,fromUint8ToStringArray:()=>VX,getAxesPermutation:()=>bH,getBroadcastDims:()=>jk,getComplexWithIndex:()=>fX,getEinsumComputePath:()=>SX,getEinsumPermutation:()=>CX,getFusedBiasGradient:()=>qu,getFusedDyActivation:()=>Ku,getImageCenter:()=>Yj,getInnerMostAxes:()=>wH,getPermuted:()=>Zj,getRaggedRank:()=>qj,getReductionAxes:()=>fd,getReshaped:()=>Qj,getReshapedPermuted:()=>Jj,getRowPartitionTypesHelper:()=>Kj,getSliceBeginCoords:()=>eX,getSliceSize:()=>tX,getSparseFillEmptyRowsIndicesDenseShapeMismatch:()=>NX,getSparseFillEmptyRowsNegativeIndexErrorMessage:()=>TX,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:()=>_X,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:()=>RX,getSparseReshapeInputOutputMismatchErrorMessage:()=>AX,getSparseReshapeInputOutputMultipleErrorMessage:()=>DX,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:()=>$X,getSparseReshapeNegativeOutputDimErrorMessage:()=>EX,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:()=>MX,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:()=>FX,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:()=>PX,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:()=>OX,getUndoAxesPermutation:()=>CH,isIdentityPermutation:()=>IX,log:()=>mG,mergeRealAndImagArrays:()=>cX,prepareAndValidate:()=>LN,prepareSplitSize:()=>kX,segment_util:()=>jw,shouldFuse:()=>Xu,slice_util:()=>ct,splitRealAndImagArrays:()=>lX,stridesOrDilationsArePositive:()=>ba,tupleValuesAreOne:()=>Ou,upcastType:()=>dt,validateDefaultValueShape:()=>jj,validateInput:()=>mc,validateUpdateShape:()=>Fw,warn:()=>ha});function Uj(r,e){let t=r[0].length;r.forEach((n,s)=>{$(n.length===t,()=>`Error in concat${t}D: rank of tensors[${s}] must be the same as the rank of the rest (${t})`)}),$(e>=0&&e`Error in concat${t}D: axis must be between 0 and ${t-1}.`);let o=r[0];r.forEach((n,s)=>{for(let a=0;a`Error in concat${t}D: Shape of tensors[${s}] (${n}) does not match the shape of the rest (${o}) along the non-concatenated axis ${s}.`)})}function Gj(r,e){let t=r[0].slice();for(let o=1;o=0)if(i>=0){if(i!==s)throw new Error(`rt input.shape and shape=${e} are incompatible: rt input.shape[${n+r}] = ${s} but shape[${n+r}] = ${i}`)}else o[a]=s}return o}function Kj(r){let e={FIRST_DIM_SIZE:Ta.FIRST_DIM_SIZE,VALUE_ROWIDS:Ta.VALUE_ROWIDS,ROW_LENGTHS:Ta.ROW_LENGTHS,ROW_SPLITS:Ta.ROW_SPLITS,ROW_LIMITS:Ta.ROW_LIMITS,ROW_STARTS:Ta.ROW_STARTS},t=[];for(let o of r)if(o in e)t.push(e[o]);else break;return t}function qj(r){return r.length===0?0:r[0]===Ta.FIRST_DIM_SIZE?r.length-1:r.length}function jj(r,e){if(r==null||e==null)return;let t=r.length,o=e.length;if(t>=o)throw new Error(`defaultValue.shape=${r} and ragged tensor flatValues.shape=${e}, are incompatible: defaultValue.rank = ${t} must be less than ragged tensor input flatValues.rank = ${o})`);for(let n=0;n=0&&a>=0&&s!==1&&s!==a)throw new Error(`defaultValue.shape=${r}, and ragged tensor input flatValues.shape=${e} are incompatible: defaultValue.shape[${n-r.length}] = ${s} but ragged tensor input.flatValues.shape[${n-r.length}] = ${a}`)}}var nf=30;function Xj(r){return r<=nf?r:Wp(r,Math.floor(Math.sqrt(r)))}function Yj(r,e,t){let o=t*(typeof r=="number"?r:r[0]),n=e*(typeof r=="number"?r:r[1]);return[o,n]}function Qj(r,e,t,o=!0){let n=[];if(o)n=n.concat(e.slice(0)),n.push(r[0]/t),n=n.concat(r.slice(1));else{n=n.concat(r[0]);let s=e.length;for(let a=0;a=e*2+1||a%2===1?s.push(a):n.push(a);o.push(...n),o.push(0),o.push(...s)}return o}function Jj(r,e,t,o=!0){let n=[];o?n.push(r[0]/t):n.push(r[0]*t);for(let s=1;s/g,jN=",",XN="...";function bX(r,e){r=r.replace(/\s/g,"");let t=(r.length-r.replace(yX,"").length)/qw.length;if(t<1)throw new Error("Equations without an arrow are not supported.");if(t>1)throw new Error(`Equation must contain exactly one arrow ("${qw}").`);let[o,n]=r.split(qw);$(o.indexOf(XN)===-1,()=>`The ellipsis notation ("${XN}") is not supported yet.`);let s=o.split(jN),a=s.length;if(e!==a)throw new Error(`Expected ${a} input tensors, received ${e}`);if(a>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");let i=[];for(let m=0;mf.indexOf(d)!==-1))throw new Error(`Output subscripts contain the label ${d} not present in the input subscripts.`);i.indexOf(d)===-1&&i.push(d)}for(let m=0;mn!==-1),{permutationIndices:t,expandDims:o}}function wX(r,e,t){let o=new Array(r);for(let n=0;n`Expected dimension ${o[e[n][a]]} at axis ${a} of input shaped ${JSON.stringify(s)}, but got dimension ${s[a]}`)}}function SX(r,e){let t=r,o=[],n=0;r.length===0&&t.push(-1),n=r.length+1;for(let a=0;ae===t)}function vX(r,e){let t=[];for(let o=0;o"Number of splits must evenly divide the axis."),o=new Array(e).fill(r.shape[t]/e);else{let n=e.reduce((a,i)=>(i===-1&&(a+=1),a),0);$(n<=1,()=>"There should be only one negative value in split array.");let s=e.indexOf(-1);if(s!==-1){let a=e.reduce((i,p)=>p>0?i+p:i);e[s]=r.shape[t]-a}$(r.shape[t]===e.reduce((a,i)=>a+i),()=>"The sum of sizes must match the size of the axis dimension."),o=e}return o}function NX(r){return`Received SparseTensor with denseShape[0] = 0 but + indices.shape[0] = ${r}`}function TX(r,e){return`indices(${r}, 0) is invalid: ${e} < 0`}function _X(r,e,t){return`indices(${r}, 0) is invalid: ${e} >= ${t}`}function $X(r,e){return`only one output dimension may be -1, not both ${r} and ${e}`}function EX(r,e){return`size ${r} must be non-negative, not ${e}`}function RX(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function DX(r,e){let t=Ue(r),o=Ue(e);return`Input to reshape is a SparseTensor with ${t} + dense values, but the requested shape requires a multiple of ${o}. inputShape=${r} outputShape= ${e}`}function AX(r,e){let t=Ue(r),o=Ue(e);return`Input to reshape is a tensor with ${t} dense values, but the requested shape has ${o}. inputShape=${r} outputShape=${e}`}function FX(){return"segment ids must be >= 0"}function PX(){return"segment ids are not increasing"}function OX(r,e){return`Segment id ${r} out of range [0, ${e}), possibly because segmentIds input is not sorted.`}function MX(r,e,t){return`Bad: indices[${r}] == ${e} out of range [0, ${t})`}var jw={};He(jw,{collectGatherOpShapeInfo:()=>zX,computeOutShape:()=>BX,segOpComputeOptimalWindowSize:()=>LX});function LX(r,e){let t=!1,o;for(r<=nf?(o=r,t=!0):o=Wp(r,Math.floor(Math.sqrt(r)));!t;)o>e||o===r?t=!0:o=Wp(r,o+1);return o}function BX(r,e,t){let o=[],n=r.length;for(let s=0;sn))throw new Error(`Expect batchDims in the range of [-${n}, ${n}], but got ${o}`);if(o<0&&(o+=n),o>s)throw new Error(`batchDims (${o}) must be less than rank(x) ( + ${s}).`);if(tJp(e))}catch(e){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${e}`)}}function WX(r){return r.map(e=>Yi(e))}var Wt={};He(Wt,{nonMaxSuppressionV3Impl:()=>Yd,nonMaxSuppressionV4Impl:()=>Qd,nonMaxSuppressionV5Impl:()=>Zd,whereImpl:()=>Kd});kN();var UX=P();UX.registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,r=>{r&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});var co;(function(r){r[r.DT_INVALID=0]="DT_INVALID",r[r.DT_FLOAT=1]="DT_FLOAT",r[r.DT_DOUBLE=2]="DT_DOUBLE",r[r.DT_INT32=3]="DT_INT32",r[r.DT_UINT8=4]="DT_UINT8",r[r.DT_INT16=5]="DT_INT16",r[r.DT_INT8=6]="DT_INT8",r[r.DT_STRING=7]="DT_STRING",r[r.DT_COMPLEX64=8]="DT_COMPLEX64",r[r.DT_INT64=9]="DT_INT64",r[r.DT_BOOL=10]="DT_BOOL",r[r.DT_QINT8=11]="DT_QINT8",r[r.DT_QUINT8=12]="DT_QUINT8",r[r.DT_QINT32=13]="DT_QINT32",r[r.DT_BFLOAT16=14]="DT_BFLOAT16",r[r.DT_QINT16=15]="DT_QINT16",r[r.DT_QUINT16=16]="DT_QUINT16",r[r.DT_UINT16=17]="DT_UINT16",r[r.DT_COMPLEX128=18]="DT_COMPLEX128",r[r.DT_HALF=19]="DT_HALF",r[r.DT_RESOURCE=20]="DT_RESOURCE",r[r.DT_VARIANT=21]="DT_VARIANT",r[r.DT_UINT32=22]="DT_UINT32",r[r.DT_UINT64=23]="DT_UINT64",r[r.DT_FLOAT_REF=101]="DT_FLOAT_REF",r[r.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",r[r.DT_INT32_REF=103]="DT_INT32_REF",r[r.DT_UINT8_REF=104]="DT_UINT8_REF",r[r.DT_INT16_REF=105]="DT_INT16_REF",r[r.DT_INT8_REF=106]="DT_INT8_REF",r[r.DT_STRING_REF=107]="DT_STRING_REF",r[r.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",r[r.DT_INT64_REF=109]="DT_INT64_REF",r[r.DT_BOOL_REF=110]="DT_BOOL_REF",r[r.DT_QINT8_REF=111]="DT_QINT8_REF",r[r.DT_QUINT8_REF=112]="DT_QUINT8_REF",r[r.DT_QINT32_REF=113]="DT_QINT32_REF",r[r.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",r[r.DT_QINT16_REF=115]="DT_QINT16_REF",r[r.DT_QUINT16_REF=116]="DT_QUINT16_REF",r[r.DT_UINT16_REF=117]="DT_UINT16_REF",r[r.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",r[r.DT_HALF_REF=119]="DT_HALF_REF",r[r.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",r[r.DT_VARIANT_REF=121]="DT_VARIANT_REF",r[r.DT_UINT32_REF=122]="DT_UINT32_REF",r[r.DT_UINT64_REF=123]="DT_UINT64_REF"})(co||(co={}));var YN;(function(r){let e;(function(t){t[t.LEGACY=0]="LEGACY",t[t.V1=1]="V1",t[t.V2=2]="V2"})(e=r.CheckpointFormatVersion||(r.CheckpointFormatVersion={}))})(YN||(YN={}));var Yw={};function HX(r,e){let t={tfOpName:r,category:"custom",inputs:[],attrs:[],customExecutor:e};Yw[r]=t}function sf(r){return Yw[r]}function KX(r){delete Yw[r]}function I(r,e,t,o,n){let s=e.inputParams[r];if(s&&s.inputIndexStart!==void 0){let i=s.inputIndexStart,p=s.inputIndexEnd===0?void 0:s.inputIndexEnd===void 0?i+1:s.inputIndexEnd,u=i<0?e.inputNames.length+i:i;if(s.type==="tensor")return Bt(e.inputNames[u],t,o,n);if(s.type==="tensors"){let m=e.inputs.slice(i,p);return e.inputNames.slice(i,p).filter((f,h)=>{var g;return((g=m[h])===null||g===void 0?void 0:g.op)!=="NoOp"}).map(f=>Bt(f,t,o,n))}let c=Bt(e.inputNames[u],t,o,n),l=c.dataSync();return s.type==="number"?l[0]:y.toNestedArray(c.shape,l)}let a=e.attrParams[r];return a&&a.value}function Bt(r,e,t,o){let[n,s]=Nr(r,t);if(o!=null){let i=o.getHashTableHandleByName(n);if(i!=null)return i}let a=t.currentContextIds.find(i=>!!e[af(n,i)]);return a!==void 0?e[af(n,a)][s]:void 0}function Qw(r,e,t){return e[af(r,t.currentContextId)]}function Ds(r,e){let[t,o,n]=Nr(r,e);return[af(t,e&&e.currentContextId),o,n]}function af(r,e){return e?`${r}-${e}`:r}function Nr(r,e){if(r==="")return["",0,void 0];let t=e!=null&&e.parseNodeNameCache!=null;if(t){let s=e.parseNodeNameCache.get(r);if(s!=null)return s}let o=r.split(":"),n;if(o.length===1)n=[r,0,void 0];else{let s=o[0],a=o.length===3?o[1]:void 0,i=Number(o[o.length-1]);n=[s,i,a]}return t&&e.parseNodeNameCache.set(r,n),n}function Al(r,e,t){let o=I("pad",r,e,t);if(o==="explicit"){o=I("explicitPaddings",r,e,t);let n=[[0,0],[0,0],[0,0],[0,0]];for(let s=0;s<4;s++)n[s][0]=o[s*2],n[s][1]=o[s*2+1];return n}return o}function As(r){return r.kept?r:Vr(r)}var Zw={};He(Zw,{json:()=>qX});var qX=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var Jw={};He(Jw,{json:()=>jX});var jX=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsFinite",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"IsInf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var eS={};He(eS,{json:()=>XX});var XX=[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcatV2",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListLength",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}]},{tfOpName:"TensorListResize",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"size",type:"number"}]}];var tS={};He(tS,{json:()=>YX});var YX=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}];var rS={};He(rS,{json:()=>QX});var QX=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomStandardNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"RandomUniformInt",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number"},{tfName:"maxval",name:"maxval",type:"number"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}];var oS={};He(oS,{json:()=>ZX});var ZX=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}];var nS={};He(nS,{json:()=>JX});var JX=[{tfOpName:"LowerBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"UpperBound",category:"evaluation",inputs:[{start:0,name:"sortedSequence",type:"tensor"},{start:1,name:"values",type:"tensor"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}];var sS={};He(sS,{json:()=>e5});var e5=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}];var aS={};He(aS,{json:()=>t5});var t5=[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"InitializeTable",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]},{tfOpName:"InitializeTableV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}]}];var iS={};He(iS,{json:()=>r5});var r5=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"half_pixel_centers",name:"halfPixelCenters",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]},{tfOpName:"ImageProjectiveTransformV3",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"transforms",type:"tensor"},{start:2,name:"outputShape",type:"number[]"},{start:3,name:"fillValue",type:"number"}],attrs:[{tfName:"interpolation",name:"interpolation",type:"string"},{tfName:"fill_mode",name:"fillMode",type:"string"}]}];var uS={};He(uS,{json:()=>o5});var o5=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BitwiseAnd",category:"logical",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}]}];var pS={};He(pS,{json:()=>n5});var n5=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"MatrixBandPart",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"numLower",type:"tensor"},{start:1,name:"numUpper",type:"tensor"}]}];var cS={};He(cS,{json:()=>s5});var s5=[{tfOpName:"EuclideanNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",defaultValue:!1}]},{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]}];var lS={};He(lS,{json:()=>a5});var a5=[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cumprod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}];var mS={};He(mS,{json:()=>i5});var i5=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool[]"}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]},{tfOpName:"TensorScatterUpdate",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"values",type:"tensor"}]}];var dS={};He(dS,{json:()=>u5});var u5=[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}];var fS={};He(fS,{json:()=>p5});var p5=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}];var hS={};He(hS,{json:()=>c5});var c5=[{tfOpName:"StaticRegexReplace",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"pattern",name:"pattern",type:"string"},{tfName:"rewrite",name:"rewrite",type:"string"},{tfName:"replace_global",name:"replaceGlobal",type:"bool"}]},{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}];var gS={};He(gS,{json:()=>l5});var l5=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"EnsureShape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}];var Fl=class{static get Instance(){return this._instance||(this._instance=new this)}constructor(){let e=[Zw,Jw,eS,tS,rS,oS,nS,sS,aS,iS,uS,pS,cS,lS,mS,dS,fS,hS,gS],t=[].concat(...e.map(o=>o.json));this.opMappers=t.reduce((o,n)=>(o[n.tfOpName]=n,o),{})}transformGraph(e,t={}){let o=e.node,n=[],s=[],a=[],i=o.reduce((h,g)=>(h[g.name]=this.mapNode(g),g.op.startsWith("Placeholder")?n.push(h[g.name]):g.op==="Const"?s.push(h[g.name]):(g.input==null||g.input.length===0)&&a.push(h[g.name]),h),{}),p=[],u=[],c={},l={};t!=null&&(c=this.mapSignatureEntries(t.inputs),l=this.mapSignatureEntries(t.outputs));let m=Object.keys(i);m.forEach(h=>{let g=i[h];g.inputNames.forEach((x,b)=>{let[w,,S]=Ds(x),k=i[w];if(k.outputs!=null){let _=k.outputs.indexOf(S);if(_!==-1){let E=`${w}:${_}`;g.inputNames[b]=E}}g.inputs.push(k),k.children.push(g)})}),Object.keys(l).length===0?m.forEach(h=>{let g=i[h];g.children.length===0&&u.push(g)}):Object.keys(l).forEach(h=>{let[g]=Ds(h),x=i[g];x!=null&&(x.signatureKey=l[h],u.push(x))}),Object.keys(c).length>0?Object.keys(c).forEach(h=>{let[g]=Ds(h),x=i[g];x&&(x.signatureKey=c[h],p.push(x))}):p=n;let d={};e.library!=null&&e.library.function!=null&&(d=e.library.function.reduce((h,g)=>(h[g.signature.name]=this.mapFunction(g),h),{}));let f={nodes:i,inputs:p,outputs:u,weights:s,placeholders:n,signature:t,functions:d};return a.length>0&&(f.initNodes=a),f}mapSignatureEntries(e){return Object.keys(e||{}).reduce((t,o)=>(t[e[o].name]=o,t),{})}mapNode(e){let t=sf(e.op)||this.opMappers[e.op]||{};e.attr==null&&(e.attr={});let o={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map(n=>n.startsWith("^")?n.slice(1):n),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return t.inputs!=null&&(o.inputParams=t.inputs.reduce((n,s)=>(n[s.name]={type:s.type,inputIndexStart:s.start,inputIndexEnd:s.end},n),{})),t.attrs!=null&&(o.attrParams=t.attrs.reduce((n,s)=>{let a=s.type,i;switch(s.type){case"string":i=uf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=uf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"string[]":i=hf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=hf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"number":i=cf(e.attr,s.tfName,s.defaultValue||0),i===void 0&&s.tfDeprecatedName&&(i=cf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"number[]":i=ff(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=ff(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool":i=pf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=pf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"bool[]":i=xf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=xf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape":i=df(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=df(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"shape[]":i=gf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=gf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype":i=lf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=lf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"dtype[]":i=mf(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=mf(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"func":i=QN(e.attr,s.tfName,s.defaultValue),i===void 0&&s.tfDeprecatedName&&(i=QN(e.attr,s.tfDeprecatedName,s.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error(`Unsupported param type: ${s.type} for op: ${e.op}`)}return n[s.name]={value:i,type:a},n},{})),o}mapFunction(e){let t=e.nodeDef,o=[],n=[],s={};t!=null&&(s=t.reduce((l,m)=>(l[m.name]=this.mapNode(m),m.op==="Const"&&n.push(l[m.name]),l),{}));let a=[],i=[];e.signature.inputArg.forEach(l=>{let[m]=Ds(l.name),d={name:m,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:xS(l.type),type:"dtype"}},children:[]};d.signatureKey=l.name,a.push(d),s[m]=d}),Object.keys(s).forEach(l=>{let m=s[l];m.inputNames.forEach((d,f)=>{let[h,,g]=Ds(d),x=s[h];if(x.outputs!=null){let b=x.outputs.indexOf(g);if(b!==-1){let w=`${h}:${b}`;m.inputNames[f]=w}}m.inputs.push(x),x.children.push(m)})});let u=e.ret;e.signature.outputArg.forEach(l=>{let[m,d]=Ds(u[l.name]),f=s[m];f!=null&&(f.defaultOutput=d,i.push(f))});let c=this.mapArgsToSignature(e);return{nodes:s,inputs:a,outputs:i,weights:n,placeholders:o,signature:c}}mapArgsToSignature(e){return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o),t),{}),outputs:e.signature.outputArg.reduce((t,o)=>(t[o.name]=this.mapArgToTensorInfo(o,e.ret),t),{})}}mapArgToTensorInfo(e,t){let o=e.name;return t!=null&&(o=t[o]),{name:o,dtype:e.type}}};function m5(r){let e=P().global;if(typeof e.atob!="undefined")return e.atob(r);if(typeof Buffer!="undefined")return new Buffer(r,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function ZN(r,e){let t=Array.isArray(r)?String.fromCharCode.apply(null,r):m5(r);return e?t:t.toLowerCase()}function uf(r,e,t,o=!1){let n=r[e];return n!=null?ZN(n.s,o):t}function pf(r,e,t){let o=r[e];return o?o.b:t}function cf(r,e,t){let o=r[e]||{},n=o.i!=null?o.i:o.f!=null?o.f:t;return typeof n=="number"?n:parseInt(n,10)}function xS(r){switch(typeof r=="string"&&(r=co[r]),r){case co.DT_FLOAT:case co.DT_HALF:return"float32";case co.DT_INT32:case co.DT_INT64:case co.DT_INT8:case co.DT_UINT8:return"int32";case co.DT_BOOL:return"bool";case co.DT_DOUBLE:return"float32";case co.DT_STRING:return"string";default:return null}}function QN(r,e,t){let o=r[e];return o&&o.func?o.func.name:t}function lf(r,e,t){let o=r[e];return o&&o.type?xS(o.type):t}function mf(r,e,t){let o=r[e];return o&&o.list&&o.list.type?o.list.type.map(n=>xS(n)):t}function JN(r){if(!r.unknownRank)return r.dim!=null?r.dim.map(e=>typeof e.size=="number"?e.size:parseInt(e.size,10)):[]}function df(r,e,t){let o=r[e];return o&&o.shape?JN(o.shape):t}function ff(r,e,t){let o=r[e];return o?((o.list.f&&o.list.f.length?o.list.f:o.list.i)||[]).map(n=>typeof n=="number"?n:parseInt(n,10)):t}function hf(r,e,t,o=!1){let n=r[e];return n&&n.list&&n.list.s?n.list.s.map(s=>ZN(s,o)):t}function gf(r,e,t){let o=r[e];return o&&o.list&&o.list.shape?o.list.shape.map(n=>JN(n)):t}function xf(r,e,t){let o=r[e];return o&&o.list&&o.list.b?o.list.b:t}var yf=class{constructor(e,t,o){this.node=e,this.tensorMap=t,this.context=o,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(n=>this.getInput(n)),e.rawAttrs!=null&&(this.attrs=Object.keys(e.rawAttrs).reduce((n,s)=>(n[s]=this.getAttr(s),n),{}))}getInput(e){return Bt(e,this.tensorMap,this.context)}getAttr(e,t){let o=this.node.rawAttrs[e];if(o.tensor!=null)return Bt(e,this.tensorMap,this.context);if(o.i!=null||o.f!=null)return cf(this.node.rawAttrs,e,t);if(o.s!=null)return uf(this.node.rawAttrs,e,t);if(o.b!=null)return pf(this.node.rawAttrs,e,t);if(o.shape!=null)return df(this.node.rawAttrs,e,t);if(o.type!=null)return lf(this.node.rawAttrs,e,t);if(o.list!=null){if(o.list.i!=null||o.list.f!=null)return ff(this.node.rawAttrs,e,t);if(o.list.s!=null)return hf(this.node.rawAttrs,e,t);if(o.list.shape!=null)return gf(this.node.rawAttrs,e,t);if(o.list.b!=null)return xf(this.node.rawAttrs,e,t);if(o.list.type!=null)return mf(this.node.rawAttrs,e,t)}return t}};var Ze={};He(Ze,{OP_SCOPE_SUFFIX:()=>pw,abs:()=>Zt,acos:()=>ik,acosh:()=>uk,add:()=>be,addN:()=>pk,all:()=>ck,any:()=>lk,argMax:()=>mk,argMin:()=>dk,asin:()=>fk,asinh:()=>hk,atan:()=>gk,atan2:()=>xk,atanh:()=>yk,avgPool:()=>cd,avgPool3d:()=>wk,basicLSTMCell:()=>Sk,batchNorm:()=>tu,batchNorm2d:()=>vk,batchNorm3d:()=>kk,batchNorm4d:()=>Nk,batchToSpaceND:()=>ld,bincount:()=>md,bitwiseAnd:()=>Tk,booleanMaskAsync:()=>qq,broadcastArgs:()=>_k,broadcastTo:()=>ru,buffer:()=>me,cast:()=>Ye,ceil:()=>$k,clipByValue:()=>Ek,clone:()=>Vr,complex:()=>$r,concat:()=>yt,concat1d:()=>Rk,concat2d:()=>Dk,concat3d:()=>Ak,concat4d:()=>Fk,conv1d:()=>Pk,conv2d:()=>ou,conv2dTranspose:()=>Ok,conv3d:()=>Mk,conv3dTranspose:()=>Bk,cos:()=>zk,cosh:()=>Vk,cosineWindow:()=>_l,cumprod:()=>Wk,cumsum:()=>Uk,denseBincount:()=>Gk,depthToSpace:()=>Hk,depthwiseConv2d:()=>ac,diag:()=>Kk,dilation2d:()=>qk,div:()=>Ke,divNoNan:()=>Xk,dot:()=>Yk,dropout:()=>s6,einsum:()=>Qk,elu:()=>gd,enclosingPowerOfTwo:()=>Pw,ensureShape:()=>Zk,equal:()=>hd,erf:()=>Jk,euclideanNorm:()=>r2,exp:()=>ko,expandDims:()=>oi,expm1:()=>o2,eye:()=>xd,fft:()=>pc,fill:()=>Sa,floor:()=>yd,floorDiv:()=>pd,fused:()=>Ow,gather:()=>bd,gatherND:()=>o6,greater:()=>Bu,greaterEqual:()=>Cd,ifft:()=>Hu,imag:()=>su,image:()=>uj,inTopKAsync:()=>i6,irfft:()=>Wd,isFinite:()=>n2,isInf:()=>s2,isNaN:()=>a2,leakyRelu:()=>wd,less:()=>kl,lessEqual:()=>ic,linalg:()=>pj,linspace:()=>i2,localResponseNormalization:()=>u2,log:()=>ni,log1p:()=>Sd,logSigmoid:()=>p2,logSoftmax:()=>c2,logSumExp:()=>kd,logicalAnd:()=>zu,logicalNot:()=>Nd,logicalOr:()=>Td,logicalXor:()=>l2,losses:()=>cj,lowerBound:()=>m2,matMul:()=>Qe,max:()=>Ia,maxPool:()=>$d,maxPool3d:()=>d2,maxPoolWithArgmax:()=>f2,maximum:()=>Ed,mean:()=>Vu,meshgrid:()=>h2,min:()=>vl,minimum:()=>Wu,mirrorPad:()=>g2,mod:()=>x2,moments:()=>y2,movingAverage:()=>Yq,mul:()=>se,multiRNNCell:()=>b2,multinomial:()=>C2,neg:()=>pr,norm:()=>Lu,notEqual:()=>Rd,oneHot:()=>Tl,ones:()=>va,onesLike:()=>w2,op:()=>N,outerProduct:()=>S2,pad:()=>ka,pad1d:()=>I2,pad2d:()=>v2,pad3d:()=>k2,pad4d:()=>N2,pool:()=>T2,pow:()=>ri,prelu:()=>Ad,print:()=>ud,prod:()=>_2,raggedGather:()=>$2,raggedRange:()=>E2,raggedTensorToTensor:()=>R2,rand:()=>D2,randomGamma:()=>J2,randomNormal:()=>Bd,randomStandardNormal:()=>e1,randomUniform:()=>uc,randomUniformInt:()=>t1,range:()=>au,real:()=>si,reciprocal:()=>r1,relu:()=>iu,relu6:()=>zd,reshape:()=>W,reverse:()=>uo,reverse1d:()=>o1,reverse2d:()=>n1,reverse3d:()=>s1,reverse4d:()=>a1,rfft:()=>cc,round:()=>Vd,rsqrt:()=>i1,scalar:()=>ke,scatterND:()=>Zq,searchSorted:()=>Nl,selu:()=>u1,separableConv2d:()=>p1,setdiff1dAsync:()=>c1,sigmoid:()=>wa,sign:()=>l1,signal:()=>ij,sin:()=>m1,sinh:()=>d1,slice:()=>qe,slice1d:()=>f1,slice2d:()=>h1,slice3d:()=>g1,slice4d:()=>x1,softmax:()=>y1,softplus:()=>vd,spaceToBatchND:()=>Dd,sparse:()=>lj,sparseToDense:()=>t6,spectral:()=>aj,split:()=>ai,sqrt:()=>Rr,square:()=>Jt,squaredDifference:()=>Ud,squeeze:()=>lc,stack:()=>vr,step:()=>Gd,stridedSlice:()=>b1,string:()=>mj,sub:()=>Te,sum:()=>ot,tan:()=>C1,tanh:()=>Il,tensor:()=>ir,tensor1d:()=>xr,tensor2d:()=>uu,tensor3d:()=>Hd,tensor4d:()=>w1,tensor5d:()=>S1,tensor6d:()=>I1,tensorScatterUpdate:()=>k1,tile:()=>nu,topk:()=>N1,transpose:()=>dc,truncatedNormal:()=>T1,unique:()=>_1,unsortedSegmentSum:()=>$1,unstack:()=>po,upperBound:()=>E1,variable:()=>R1,where:()=>io,whereAsync:()=>qd,zeros:()=>Wr,zerosLike:()=>Ht});var eT=(r,e,t,o=Ze)=>{switch(r.op){case"BiasAdd":case"AddV2":case"Add":return[o.add(I("a",r,e,t),I("b",r,e,t))];case"AddN":return[o.addN(I("tensors",r,e,t))];case"FloorMod":case"Mod":return[o.mod(I("a",r,e,t),I("b",r,e,t))];case"Mul":return[o.mul(I("a",r,e,t),I("b",r,e,t))];case"RealDiv":case"Div":return[o.div(I("a",r,e,t),I("b",r,e,t))];case"DivNoNan":return[o.divNoNan(I("a",r,e,t),I("b",r,e,t))];case"FloorDiv":return[o.floorDiv(I("a",r,e,t),I("b",r,e,t))];case"Sub":return[o.sub(I("a",r,e,t),I("b",r,e,t))];case"Minimum":return[o.minimum(I("a",r,e,t),I("b",r,e,t))];case"Maximum":return[o.maximum(I("a",r,e,t),I("b",r,e,t))];case"Pow":return[o.pow(I("a",r,e,t),I("b",r,e,t))];case"SquaredDifference":return[o.squaredDifference(I("a",r,e,t),I("b",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tT=(r,e,t,o=Ze)=>{switch(r.op){case"Abs":case"ComplexAbs":return[o.abs(I("x",r,e,t))];case"Acos":return[o.acos(I("x",r,e,t))];case"Acosh":return[o.acosh(I("x",r,e,t))];case"Asin":return[o.asin(I("x",r,e,t))];case"Asinh":return[o.asinh(I("x",r,e,t))];case"Atan":return[o.atan(I("x",r,e,t))];case"Atan2":return[o.atan2(I("x",r,e,t),I("y",r,e,t))];case"Atanh":return[o.atanh(I("x",r,e,t))];case"Ceil":return[o.ceil(I("x",r,e,t))];case"Complex":return[o.complex(I("real",r,e,t),I("imag",r,e,t))];case"Cos":return[o.cos(I("x",r,e,t))];case"Cosh":return[o.cosh(I("x",r,e,t))];case"Elu":return[o.elu(I("x",r,e,t))];case"Erf":return[o.erf(I("x",r,e,t))];case"Exp":return[o.exp(I("x",r,e,t))];case"Expm1":return[o.expm1(I("x",r,e,t))];case"Floor":return[o.floor(I("x",r,e,t))];case"Log":return[o.log(I("x",r,e,t))];case"Log1p":return[o.log1p(I("x",r,e,t))];case"Imag":return[o.imag(I("x",r,e,t))];case"Neg":return[o.neg(I("x",r,e,t))];case"Reciprocal":return[o.reciprocal(I("x",r,e,t))];case"Real":return[o.real(I("x",r,e,t))];case"Relu":return[o.relu(I("x",r,e,t))];case"Round":return[o.round(I("x",r,e,t))];case"Selu":return[o.selu(I("x",r,e,t))];case"Sigmoid":return[o.sigmoid(I("x",r,e,t))];case"Sin":return[o.sin(I("x",r,e,t))];case"Sign":return[o.sign(I("x",r,e,t))];case"Sinh":return[o.sinh(I("x",r,e,t))];case"Softplus":return[o.softplus(I("x",r,e,t))];case"Sqrt":return[o.sqrt(I("x",r,e,t))];case"Square":return[o.square(I("x",r,e,t))];case"Tanh":return[o.tanh(I("x",r,e,t))];case"Tan":return[o.tan(I("x",r,e,t))];case"ClipByValue":return[o.clipByValue(I("x",r,e,t),I("clipValueMin",r,e,t),I("clipValueMax",r,e,t))];case"Relu6":return[o.relu6(I("x",r,e,t))];case"Rsqrt":return[o.rsqrt(Bt(r.inputNames[0],e,t))];case"LeakyRelu":return[o.leakyRelu(I("x",r,e,t),I("alpha",r,e,t))];case"Prelu":return[o.prelu(I("x",r,e,t),I("alpha",r,e,t))];case"IsNan":return[o.isNaN(Bt(r.inputNames[0],e,t))];case"IsInf":return[o.isInf(Bt(r.inputNames[0],e,t))];case"IsFinite":return[o.isFinite(Bt(r.inputNames[0],e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function Ur(r,e,t=""){if(!(typeof r=="number"||typeof e=="number")){y.assert(r.length===e.length,()=>t+` Shapes ${r} and ${e} must match`);for(let o=0;ot+` Shapes ${r} and ${e} must match`)}}}function rT(r){return!(typeof r=="number"||r.some(e=>e<0))}function fc(r,e,t){let o=bf(r,t),n=!rT(o);if(n&&e.length===0)throw new Error(`Tried to calculate elements of an empty list with non-fully-defined elementShape: ${o}`);if(n&&e.forEach(s=>{o=bf(s.shape,o)}),!rT(o))throw new Error(`Non-fully-defined elementShape: ${o}`);return o}function bf(r,e){if(typeof r=="number")return e;if(typeof e=="number")return r;if(r.length!==e.length)throw new Error(`Incompatible ranks during merge: ${r} vs. ${e}`);let t=[];for(let o=0;o=0&&s>=0&&n!==s)throw new Error(`Incompatible shape during merge: ${r} vs. ${e}`);t[o]=n>=0?n:s}return t}var Cf=class{constructor(e,t,o,n,s,a,i){this.name=e,this.dtype=t,this.maxSize=o,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=a,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.idTensor=ke(0),Er(this.idTensor)}get id(){return this.idTensor.id}get closed(){return this.closed_}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.tensor.id))&&t.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}size(){return this.tensors.length}read(e){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||e>=this.size())throw new Error(`Tried to read from index ${e}, but array size is: ${this.size()}`);let t=this.tensors[e];if(t.cleared)throw new Error(`TensorArray ${this.name}: Could not read index ${e} twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).`);return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}readMany(e){return e.map(t=>this.read(t))}write(e,t){if(this.closed_)throw new Error(`TensorArray ${this.name} has already been closed.`);if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(`Tried to write to index ${e}, but array is not resizeable and size is: ${this.maxSize}`);let o=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, + because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ur(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),o.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(o.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);o.tensor=t,Er(t),o.written=!0,this.tensors[e]=o}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((o,n)=>this.write(o,t[n]))}gather(e,t){if(t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let n=0;n=this.maxSize)throw new Error(`Max index must be < array size (${o} vs. ${this.maxSize})`);this.writeMany(e,po(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let o=0,n=e.map(p=>(o+=p,o));if(o!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${o}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let s=o===0?0:t.size/o,a=[];Ee(()=>{t=W(t,[1,o,s]);for(let p=0;p{if(o!==s.dtype)throw new Error(`Invalid data types; op elements ${o}, but list elements ${s.dtype}`);Vr(t,s.shape,"TensorList shape mismatch: "),_r(s)}),this.idTensor=Ce(0),this.maxNumElements=n,_r(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Ba([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,o=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(o!==-1&&this.tensors.length!==o)throw new Error(`Operation expected a list with ${o} elements but got a list with ${this.tensors.length} elements.`);Vr(e,this.elementShape,"TensorList shape mismatch: ");let n=Hp(this.elementShape,this.tensors,e);return Ee(()=>{let s=this.tensors.map(a=>W(a,n));return Sr(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let o=Hp(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Vr(n.shape,e,"TensorList shape mismatch: "),W(n,o)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Vr(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");_r(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new Ba([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let o=0;othis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Vr(this.tensors[e].shape,t,"TensorList shape mismatch: ");let n=Hp(this.elementShape,this.tensors,t);return W(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Vr(this.elementShape,t.shape,"TensorList shape mismatch: "),_r(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,o){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Vr(this.elementShape,o,"TensorList shape mismatch: "),e=e.slice(0,this.size());let n=Hp(this.elementShape,this.tensors,o);return e.length===0?nr([],[0].concat(n)):Ee(()=>{let s=e.map(a=>W(this.tensors[a],n));return Sr(s,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Vr(this.elementShape,t,"TensorList shape mismatch: ");let o=Hp(this.elementShape,this.tensors,t);return this.size()===0?nr([],[0].concat(o)):Ee(()=>{let n=this.tensors.map(s=>W(s,o));return xt(n,0)})}};function MN(r,e,t){let o=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==t)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${t}`);let n=r.shape.slice(1);Vr(n,e,"TensorList shape mismatch: ");let s=so(r);return new Ba(s,e,o)}function LN(r,e,t,o){return new Ba([],r,e,o)}function BN(r,e,t,o){if(e.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${r.shape[0]}`);let n=Math.max(...e);if(o!=null&&o!==-1&&n>=o)throw new Error(`Max index must be < array size (${n} vs. ${o})`);let s=new Ba([],t,r.dtype,o),a=so(r,0);return e.forEach((i,p)=>{s.setItem(i,a[p])}),s}function VN(r,e,t){let o=0,n=e.map(c=>(o+=c,o));if(o!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to + ${o}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let s=o===0?0:t.size/o,a=[];De(()=>{t=W(t,[1,o,s]);for(let p=0;p{if(o!==s.dtype)throw new Error(`Invalid data types; op elements ${o}, but list elements ${s.dtype}`);Ur(t,s.shape,"TensorList shape mismatch: "),Er(s)}),this.idTensor=ke(0),this.maxNumElements=n,Er(this.idTensor)}copy(){return new ci([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,o=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(o!==-1&&this.tensors.length!==o)throw new Error(`Operation expected a list with ${o} elements but got a list with ${this.tensors.length} elements.`);Ur(e,this.elementShape,"TensorList shape mismatch: ");let n=fc(this.elementShape,this.tensors,e);return De(()=>{let s=this.tensors.map(a=>W(a,n));return vr(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let o=fc(this.elementShape,this.tensors,e),n=this.tensors.pop();return n.kept=!1,Ur(n.shape,e,"TensorList shape mismatch: "),W(n,o)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ur(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Er(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new ci([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let o=0;othis.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ur(this.tensors[e].shape,t,"TensorList shape mismatch: ");let n=fc(this.elementShape,this.tensors,t);return W(this.tensors[e],n)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ur(this.elementShape,t.shape,"TensorList shape mismatch: "),Er(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,o){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ur(this.elementShape,o,"TensorList shape mismatch: "),e=e.slice(0,this.size());let n=fc(this.elementShape,this.tensors,o);return e.length===0?ir([],[0].concat(n)):De(()=>{let s=e.map(a=>W(this.tensors[a],n));return vr(s,0)})}concat(e,t){if(e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ur(this.elementShape,t,"TensorList shape mismatch: ");let o=fc(this.elementShape,this.tensors,t);return this.size()===0?ir([],[0].concat(o)):De(()=>{let n=this.tensors.map(s=>W(s,o));return yt(n,0)})}};function oT(r,e,t){let o=r.dtype;if(r.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${r.shape}`);if(r.dtype!==t)throw new Error(`Invalid data types; op elements ${r.dtype}, but list elements ${t}`);let n=r.shape.slice(1);Ur(n,e,"TensorList shape mismatch: ");let s=po(r);return new ci(s,e,o)}function nT(r,e,t,o){return new ci([],r,e,o)}function sT(r,e,t,o){if(e.length!==r.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${r.shape[0]}`);let n=Math.max(...e);if(o!=null&&o!==-1&&n>=o)throw new Error(`Max index must be < array size (${n} vs. ${o})`);let s=new ci([],t,r.dtype,o),a=po(r,0);return e.forEach((i,p)=>{s.setItem(i,a[p])}),s}function aT(r,e,t){let o=0,n=e.map(c=>(o+=c,o));if(o!==r.shape[0])throw new Error(`Expected sum of lengths to be equal to tensor.shape[0], but sum of lengths is - ${o}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),a=of(s,t),i=o===0?0:r.size/o,p=Ee(()=>{let c=[];r=W(r,[1,o,i]);for(let l=0;l{switch(r.op){case"If":case"StatelessIf":{let o=I("thenBranch",r,e,t),n=I("elseBranch",r,e,t),s=I("cond",r,e,t),a=I("args",r,e,t);return(await s.data())[0]?t.functionMap[o].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap):t.functionMap[n].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap)}case"While":case"StatelessWhile":{let o=I("body",r,e,t),n=I("cond",r,e,t),s=I("args",r,e,t),a=await t.functionMap[n].executeFunctionAsync(s,t.tensorArrayMap,t.tensorListMap),i=s.map(c=>c.id),p=await a[0].data();a.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=s;for(;p[0];){let c=u;u=await t.functionMap[o].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);let l=u.map(d=>d.id);c.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()});let m=await t.functionMap[n].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);p=await m[0].data(),m.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()})}return u}case"LoopCond":{let o=I("pred",r,e,t);return[is(o)]}case"Switch":{let o=I("pred",r,e,t),n=I("data",r,e,t);return n.kept||(n=is(n)),(await o.data())[0]?[void 0,n]:[n,void 0]}case"Merge":{let o=r.inputNames.find(n=>Gt(n,e,t)!==void 0);if(o){let n=Gt(o,e,t);return[is(n)]}return}case"Enter":{let o=I("frameName",r,e,t),n=I("tensor",r,e,t);return t.enterFrame(o),[is(n)]}case"Exit":{let o=I("tensor",r,e,t);return t.exitFrame(),[is(o)]}case"NextIteration":{let o=I("tensor",r,e,t);return t.nextIteration(),[is(o)]}case"TensorArrayV3":{let o=I("size",r,e,t),n=I("dtype",r,e,t),s=I("elementShape",r,e,t),a=I("dynamicSize",r,e,t),i=I("clearAfterRead",r,e,t),p=I("identicalElementShapes",r,e,t),u=I("name",r,e,t),c=new nf(u,n,o,s,p,a,i);return t.addTensorArray(c),[c.idTensor,Ce(1)]}case"TensorArrayWriteV3":{let o=I("tensorArrayId",r,e,t),n=I("index",r,e,t),s=I("tensor",r,e,t),a=t.getTensorArray(o.id);return a.write(n,s),[a.idTensor]}case"TensorArrayReadV3":{let o=I("tensorArrayId",r,e,t),n=I("index",r,e,t);return[t.getTensorArray(o.id).read(n)]}case"TensorArrayGatherV3":{let o=I("tensorArrayId",r,e,t),n=I("indices",r,e,t),s=I("dtype",r,e,t);return[t.getTensorArray(o.id).gather(n,s)]}case"TensorArrayScatterV3":{let o=I("tensorArrayId",r,e,t),n=I("indices",r,e,t),s=I("tensor",r,e,t),a=t.getTensorArray(o.id);return a.scatter(n,s),[a.idTensor]}case"TensorArrayConcatV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id),s=I("dtype",r,e,t);return[n.concat(s)]}case"TensorArraySplitV3":{let o=I("tensorArrayId",r,e,t),n=I("tensor",r,e,t),s=I("lengths",r,e,t),a=t.getTensorArray(o.id);return a.split(s,n),[a.idTensor]}case"TensorArraySizeV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id);return[Ce(n.size(),"int32")]}case"TensorArrayCloseV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id);return n.clearAndClose(),[n.idTensor]}case"TensorListSetItem":{let o=I("tensorListId",r,e,t),n=I("index",r,e,t),s=I("tensor",r,e,t),a=t.getTensorList(o.id);return a.setItem(n,s),[a.idTensor]}case"TensorListGetItem":{let o=I("tensorListId",r,e,t),n=I("index",r,e,t),s=I("elementShape",r,e,t),a=I("elementDType",r,e,t);return[t.getTensorList(o.id).getItem(n,s,a)]}case"TensorListScatterV2":case"TensorListScatter":{let o=I("indices",r,e,t),n=I("tensor",r,e,t),s=I("elementShape",r,e,t),a=I("numElements",r,e,t),i=BN(n,o,s,a);return t.addTensorList(i),[i.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let o=I("elementShape",r,e,t),n=I("elementDType",r,e,t),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let a=I(s,r,e,t),i=r.op==="TensorListReserve"?-1:a,p=LN(o,n,a,i);return t.addTensorList(p),[p.idTensor]}case"TensorListGather":{let o=I("tensorListId",r,e,t),n=I("indices",r,e,t),s=I("elementShape",r,e,t),a=I("elementDType",r,e,t);return[t.getTensorList(o.id).gather(n,a,s)]}case"TensorListStack":{let o=I("tensorListId",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t),a=I("numElements",r,e,t);return[t.getTensorList(o.id).stack(n,s,a)]}case"TensorListFromTensor":{let o=I("tensor",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t),a=MN(o,n,s);return t.addTensorList(a),[a.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let o=I("tensorListId",r,e,t),n=t.getTensorList(o.id),s=I("dtype",r,e,t),a=I("elementShape",r,e,t);return[n.concat(s,a)]}case"TensorListPushBack":{let o=I("tensorListId",r,e,t),n=I("tensor",r,e,t),s=t.getTensorList(o.id);return s.pushBack(n),[s.idTensor]}case"TensorListPopBack":{let o=I("tensorListId",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t);return[t.getTensorList(o.id).popBack(n,s)]}case"TensorListSplit":{let o=I("tensor",r,e,t),n=I("elementShape",r,e,t),s=I("lengths",r,e,t),a=VN(o,s,n);return t.addTensorList(a),[a.idTensor]}case"TensorListLength":{let o=I("tensorListId",r,e,t),n=t.getTensorList(o.id);return[Ce(n.size(),"int32")]}case"TensorListResize":{let o=I("tensorListId",r,e,t),n=I("size",r,e,t),a=t.getTensorList(o.id).resize(n);return t.addTensorList(a),[a.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function WN(r,e,t){let[o,n]=I("fusedOps",r,e,t),s=o==="biasadd",a=!s,i=n==="prelu",p=o==="fusedbatchnorm",u=I("numArgs",r,e,t);if(s){if(i&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(p)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=I("strides",r,e,t),l=ll(r,e,t),m=I("dataFormat",r,e,t).toUpperCase(),d=I("dilations",r,e,t),[f,h]=I("args",r,e,t);a&&(h=f,f=void 0);let g=I("leakyreluAlpha",r,e,t);return{stride:c,pad:l,dataFormat:m,dilations:d,biasArg:f,preluArg:h,activationFunc:n,leakyreluAlpha:g}}var UN=(r,e,t,o=Ye)=>{switch(r.op){case"Conv1D":{let n=I("stride",r,e,t),s=I("pad",r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilation",r,e,t);return[o.conv1d(I("x",r,e,t),I("filter",r,e,t),n,s,a,i)]}case"Conv2D":{let n=I("strides",r,e,t),s=ll(r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilations",r,e,t);return[o.conv2d(I("x",r,e,t),I("filter",r,e,t),[n[1],n[2]],s,a,[i[1],i[2]])]}case"_FusedConv2D":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=WN(r,e,t);return[o.fused.conv2d({x:I("x",r,e,t),filter:I("filter",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case"FusedDepthwiseConv2dNative":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=WN(r,e,t);return[o.fused.depthwiseConv2d({x:I("x",r,e,t),filter:I("filter",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let n=I("outputShape",r,e,t),s=I("strides",r,e,t),a=ll(r,e,t);return[o.conv2dTranspose(I("x",r,e,t),I("filter",r,e,t),n,[s[1],s[2]],a)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let n=I("strides",r,e,t),s=ll(r,e,t),a=I("dilations",r,e,t),i=I("dataFormat",r,e,t).toUpperCase();return[o.depthwiseConv2d(I("input",r,e,t),I("filter",r,e,t),[n[1],n[2]],s,i,[a[1],a[2]])]}case"Conv3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilations",r,e,t);return[o.conv3d(I("x",r,e,t),I("filter",r,e,t),[n[1],n[2],n[3]],s,a,[i[1],i[2],i[3]])]}case"AvgPool":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.avgPool(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case"MaxPool":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.maxPool(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case"MaxPoolWithArgmax":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t),i=I("includeBatchInIndex",r,e,t),{result:p,indexes:u}=o.maxPoolWithArgmax(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s,i);return[p,u]}case"AvgPool3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.avgPool3d(I("x",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case"MaxPool3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.maxPool3d(I("x",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case"Dilation2D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("dilations",r,e,t),i=n[1],p=n[2],u=a[1],c=a[2];return[o.dilation2d(I("x",r,e,t),I("filter",r,e,t),[i,p],s,[u,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var GN=(r,e,t,o=Ye)=>{switch(r.op){case"Fill":{let n=I("shape",r,e,t),s=I("dtype",r,e,t),a=I("value",r,e,t);return[o.fill(n,a,s)]}case"LinSpace":{let n=I("start",r,e,t),s=I("stop",r,e,t),a=I("num",r,e,t);return[o.linspace(n,s,a)]}case"Multinomial":{let n=I("logits",r,e,t),s=I("numSamples",r,e,t),a=I("seed",r,e,t);return[o.multinomial(n,s,a)]}case"OneHot":{let n=I("indices",r,e,t),s=I("depth",r,e,t),a=I("onValue",r,e,t),i=I("offValue",r,e,t),p=I("dtype",r,e,t);return[o.oneHot(n,s,a,i,p)]}case"Ones":return[o.ones(I("shape",r,e,t),I("dtype",r,e,t))];case"OnesLike":return[o.onesLike(I("x",r,e,t))];case"RandomStandardNormal":return[o.randomStandardNormal(I("shape",r,e,t),I("dtype",r,e,t),I("seed",r,e,t))];case"RandomUniform":return[o.randomUniform(I("shape",r,e,t),I("minval",r,e,t),I("maxval",r,e,t),I("dtype",r,e,t))];case"Range":{let n=I("start",r,e,t),s=I("stop",r,e,t),a=I("step",r,e,t);return[o.range(n,s,a,I("dtype",r,e,t))]}case"TruncatedNormal":{let n=I("shape",r,e,t),s=I("mean",r,e,t),a=I("stdDev",r,e,t),i=I("seed",r,e,t);return[o.truncatedNormal(n,s,a,I("dtype",r,e,t),i)]}case"Zeros":return[o.zeros(I("shape",r,e,t),I("dtype",r,e,t))];case"ZerosLike":return[o.zerosLike(I("x",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function rS(r,e,t){let o=I("boxes",r,e,t),n=I("scores",r,e,t),s=I("maxOutputSize",r,e,t),a=I("iouThreshold",r,e,t),i=I("scoreThreshold",r,e,t),p=I("softNmsSigma",r,e,t);return{boxes:o,scores:n,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:p}}var HN=async(r,e,t,o,n=Ye)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u,softNmsSigma:c}=rS(r,e,t),l=await n.image.nonMaxSuppressionWithScoreAsync(s,a,i,p,u,c);return[l.selectedIndices,l.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=rS(r,e,t),c=I("padToMaxOutputSize",r,e,t),l=await n.image.nonMaxSuppressionPaddedAsync(s,a,i,p,u,c);return[l.selectedIndices,l.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=rS(r,e,t);return[await n.image.nonMaxSuppressionAsync(s,a,i,p,u)]}case"Where":{let s=n.cast(I("condition",r,e,t),"bool"),a=[await n.whereAsync(s)];return s.dispose(),a}case"ListDiff":return n.setdiff1dAsync(I("x",r,e,t),I("y",r,e,t));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var KN=(r,e,t,o=Ye)=>{switch(r.op){case"LowerBound":{let n=I("sortedSequence",r,e,t),s=I("values",r,e,t);return[o.lowerBound(n,s)]}case"TopKV2":{let n=I("x",r,e,t),s=I("k",r,e,t),a=I("sorted",r,e,t),i=o.topk(n,s,a);return[i.values,i.indices]}case"UpperBound":{let n=I("sortedSequence",r,e,t),s=I("values",r,e,t);return[o.upperBound(n,s)]}case"Unique":{let n=I("x",r,e,t),s=o.unique(n);return[s.values,s.indices]}case"UniqueV2":{let n=I("x",r,e,t),s=I("axis",r,e,t),a=o.unique(n,s);return[a.values,a.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var qN=(r,e,t,o=Ye)=>{switch(r.op){case"Const":return e[r.name];case"PlaceholderWithDefault":let n=I("default",r,e,t);return[Gt(r.name,e,t)||n];case"Placeholder":return[Gt(r.name,e,t)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=I("x",r,e,t);return[is(c)]}case"IdentityN":return I("x",r,e,t).map(c=>is(c));case"Snapshot":let s=I("x",r,e,t);return[is(s)];case"Shape":return[o.tensor1d(I("x",r,e,t).shape,"int32")];case"ShapeN":return I("x",r,e,t).map(c=>o.tensor1d(c.shape));case"Size":return[o.scalar(I("x",r,e,t).size,"int32")];case"Rank":return[o.scalar(I("x",r,e,t).rank,"int32")];case"NoOp":return[o.scalar(1)];case"Print":let a=I("x",r,e,t),i=I("data",r,e,t),p=I("message",r,e,t),u=I("summarize",r,e,t);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(let c=0;ce.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Ce(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let o=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),Ee(()=>{let n=so(t),s=o.length,a=n.length;y.assert(s===a,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${a} elements.`);for(let i=0;i{let n=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let n=o.getHashTableHandleByName(r.name);if(n!=null)return[n];{let s=I("keyDType",r,e,t),a=I("valueDType",r,e,t),i=new sf(s,a);return o.addHashTable(r.name,i),[i.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let n=I("tableHandle",r,e,t,o),s=I("keys",r,e,t),a=I("values",r,e,t);return[await o.getHashTableById(n.id).import(s,a)]}case"LookupTableFind":case"LookupTableFindV2":{let n=I("tableHandle",r,e,t,o),s=I("keys",r,e,t),a=I("defaultValue",r,e,t);return[await o.getHashTableById(n.id).find(s,a)]}case"LookupTableSize":case"LookupTableSizeV2":{let n=I("tableHandle",r,e,t,o);return[o.getHashTableById(n.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var XN=(r,e,t,o=Ye)=>{switch(r.op){case"ResizeBilinear":{let n=I("images",r,e,t),s=I("size",r,e,t),a=I("alignCorners",r,e,t),i=I("halfPixelCenters",r,e,t);return[o.image.resizeBilinear(n,[s[0],s[1]],a,i)]}case"ResizeNearestNeighbor":{let n=I("images",r,e,t),s=I("size",r,e,t),a=I("alignCorners",r,e,t),i=I("halfPixelCenters",r,e,t);return[o.image.resizeNearestNeighbor(n,[s[0],s[1]],a,i)]}case"CropAndResize":{let n=I("image",r,e,t),s=I("boxes",r,e,t),a=I("boxInd",r,e,t),i=I("cropSize",r,e,t),p=I("method",r,e,t),u=I("extrapolationValue",r,e,t);return[o.image.cropAndResize(n,s,a,i,p,u)]}case"ImageProjectiveTransformV3":{let n=I("images",r,e,t),s=I("transforms",r,e,t),a=I("outputShape",r,e,t),i=I("fillValue",r,e,t),p=I("interpolation",r,e,t),u=I("fillMode",r,e,t);return[o.image.transform(n,s,p.toLowerCase(),u.toLowerCase(),i,a)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var YN=(r,e,t,o=Ye)=>{switch(r.op){case"Equal":return[o.equal(I("a",r,e,t),I("b",r,e,t))];case"NotEqual":return[o.notEqual(I("a",r,e,t),I("b",r,e,t))];case"Greater":return[o.greater(I("a",r,e,t),I("b",r,e,t))];case"GreaterEqual":return[o.greaterEqual(I("a",r,e,t),I("b",r,e,t))];case"Less":return[o.less(I("a",r,e,t),I("b",r,e,t))];case"LessEqual":return[o.lessEqual(I("a",r,e,t),I("b",r,e,t))];case"LogicalAnd":return[o.logicalAnd(I("a",r,e,t),I("b",r,e,t))];case"LogicalNot":return[o.logicalNot(I("a",r,e,t))];case"LogicalOr":return[o.logicalOr(I("a",r,e,t),I("b",r,e,t))];case"Select":case"SelectV2":return[o.where(I("condition",r,e,t),I("a",r,e,t),I("b",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var QN=(r,e,t,o=Ye)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[o.matMul(I("a",r,e,t),I("b",r,e,t),I("transposeA",r,e,t),I("transposeB",r,e,t))];case"Einsum":return[o.einsum(I("equation",r,e,t),...I("tensors",r,e,t))];case"Transpose":return[o.transpose(I("x",r,e,t),I("perm",r,e,t))];case"_FusedMatMul":let[n,s]=I("fusedOps",r,e,t),a=n==="biasadd",i=s==="prelu",p=I("numArgs",r,e,t),u=I("leakyreluAlpha",r,e,t);if(a){if(i&&p!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&p!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,l]=I("args",r,e,t);return[o.fused.matMul({a:I("a",r,e,t),b:I("b",r,e,t),transposeA:I("transposeA",r,e,t),transposeB:I("transposeB",r,e,t),bias:c,activation:s,preluActivationWeights:l,leakyreluAlpha:u})];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ZN=(r,e,t,o=Ye)=>{switch(r.op){case"EuclideanNorm":return[o.euclideanNorm(I("x",r,e,t),I("axis",r,e,t),I("keepDims",r,e,t))];case"FusedBatchNorm":case"FusedBatchNormV2":return[o.batchNorm(I("x",r,e,t),I("mean",r,e,t),I("variance",r,e,t),I("offset",r,e,t),I("scale",r,e,t),I("epsilon",r,e,t))];case"FusedBatchNormV3":return[o.batchNorm(I("x",r,e,t),I("mean",r,e,t),I("variance",r,e,t),I("offset",r,e,t),I("scale",r,e,t),I("epsilon",r,e,t))];case"LRN":return[o.localResponseNormalization(I("x",r,e,t),I("radius",r,e,t),I("bias",r,e,t),I("alpha",r,e,t),I("beta",r,e,t))];case"Softmax":return[o.softmax(I("x",r,e,t))];case"LogSoftmax":return[o.logSoftmax(I("x",r,e,t))];case"SparseToDense":return[o.sparseToDense(I("sparseIndices",r,e,t),I("outputShape",r,e,t),I("sparseValues",r,e,t),I("defaultValue",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var JN=(r,e,t,o=Ye)=>{switch(r.op){case"RaggedGather":{let{outputNestedSplits:n,outputDenseValues:s}=o.raggedGather(I("paramsNestedSplits",r,e,t),I("paramsDenseValues",r,e,t),I("indices",r,e,t),I("outputRaggedRank",r,e,t));return n.concat(s)}case"RaggedRange":{let{rtNestedSplits:n,rtDenseValues:s}=o.raggedRange(I("starts",r,e,t),I("limits",r,e,t),I("splits",r,e,t));return[n,s]}case"RaggedTensorToTensor":return[o.raggedTensorToTensor(I("shape",r,e,t),I("values",r,e,t),I("defaultValue",r,e,t),I("rowPartitionTensors",r,e,t),I("rowPartitionTypes",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var eT=(r,e,t,o=Ye)=>{switch(r.op){case"Max":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.max(I("x",r,e,t),i,p)]}case"Mean":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.mean(I("x",r,e,t),i,p)]}case"Min":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.min(I("x",r,e,t),i,p)]}case"Sum":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.sum(I("x",r,e,t),i,p)]}case"All":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.all(I("x",r,e,t),i,p)]}case"Any":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.any(I("x",r,e,t),i,p)]}case"ArgMax":{let i=I("axis",r,e,t);return[o.argMax(I("x",r,e,t),i)]}case"ArgMin":{let i=I("axis",r,e,t);return[o.argMin(I("x",r,e,t),i)]}case"Prod":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.prod(I("x",r,e,t),i,p)]}case"Cumprod":{let i=I("axis",r,e,t),p=I("exclusive",r,e,t),u=I("reverse",r,e,t);return[o.cumprod(I("x",r,e,t),i,p,u)]}case"Cumsum":{let i=I("axis",r,e,t),p=I("exclusive",r,e,t),u=I("reverse",r,e,t);return[o.cumsum(I("x",r,e,t),i,p,u)]}case"Bincount":let n=I("x",r,e,t),s=I("weights",r,e,t),a=I("size",r,e,t);return[o.bincount(n,s,a)];case"DenseBincount":{let i=I("x",r,e,t),p=I("weights",r,e,t),u=I("size",r,e,t),c=I("binaryOutput",r,e,t);return[o.denseBincount(i,p,u,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var tT=(r,e,t,o=Ye)=>{switch(r.op){case"ConcatV2":case"Concat":{let n=I("n",r,e,t),s=I("axis",r,e,t),a=I("tensors",r,e,t);return a=a.slice(0,n),[o.concat(a,s)]}case"Gather":{let n=I("x",r,e,t),s=I("indices",r,e,t);return[o.gather(n,o.cast(s,"int32"),0)]}case"GatherV2":{let n=I("axis",r,e,t),s=I("batchDims",r,e,t),a=I("x",r,e,t),i=I("indices",r,e,t);return[o.gather(a,o.cast(i,"int32"),n,s)]}case"Reverse":{let n=I("dims",r,e,t),s=[];for(let i=0;i{let n=I("axis",r,e,t),s=I("tensors",r,e,t),a=s[0].shape,i=o.squeeze(s[0]).shape,p=s.map(u=>{let c=y.arraysEqual(u.shape,a);if(!c&&!y.arraysEqual(o.squeeze(u).shape,i))throw new Error("the input tensors shape does not match");return c?u:o.reshape(u,a)});return[o.stack(p,n)]});case"Unpack":{let n=I("axis",r,e,t),s=I("tensor",r,e,t);return o.unstack(s,n)}case"Tile":{let n=I("reps",r,e,t);return[o.tile(I("x",r,e,t),n)]}case"Split":case"SplitV":{let n=I("axis",r,e,t),s=I("numOrSizeSplits",r,e,t),a=I("x",r,e,t);return o.split(a,s,n)}case"ScatterNd":{let n=I("indices",r,e,t),s=I("values",r,e,t),a=I("shape",r,e,t);return[o.scatterND(n,s,a)]}case"GatherNd":{let n=I("x",r,e,t),s=I("indices",r,e,t);return[o.gatherND(n,s)]}case"SparseToDense":{let n=I("sparseIndices",r,e,t),s=I("outputShape",r,e,t),a=I("sparseValues",r,e,t),i=I("defaultValue",r,e,t);return[o.sparseToDense(n,a,s,a.dtype===i.dtype?i:o.cast(i,a.dtype))]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var rT=(r,e,t,o=Ye)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:n,outputValues:s,emptyRowIndicator:a,reverseIndexMap:i}=o.sparse.sparseFillEmptyRows(I("indices",r,e,t),I("values",r,e,t),I("denseShape",r,e,t),I("defaultValue",r,e,t));return[n,s,a,i]}case"SparseReshape":{let{outputIndices:n,outputShape:s}=o.sparse.sparseReshape(I("inputIndices",r,e,t),I("inputShape",r,e,t),I("newShape",r,e,t));return[n,s]}case"SparseSegmentMean":return[o.sparse.sparseSegmentMean(I("data",r,e,t),I("indices",r,e,t),I("segmentIds",r,e,t))];case"SparseSegmentSum":return[o.sparse.sparseSegmentSum(I("data",r,e,t),I("indices",r,e,t),I("segmentIds",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var oT=(r,e,t,o=Ye)=>{switch(r.op){case"FFT":return[o.fft(I("x",r,e,t))];case"IFFT":return[o.ifft(I("x",r,e,t))];case"RFFT":return[o.rfft(I("x",r,e,t))];case"IRFFT":return[o.irfft(I("x",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var nT=(r,e,t,o=Ye)=>{switch(r.op){case"StringNGrams":{let{nGrams:n,nGramsSplits:s}=o.string.stringNGrams(I("data",r,e,t),I("dataSplits",r,e,t),I("separator",r,e,t),I("nGramWidths",r,e,t),I("leftPad",r,e,t),I("rightPad",r,e,t),I("padWidth",r,e,t),I("preserveShortSequences",r,e,t));return[n,s]}case"StringSplit":{let{indices:n,values:s,shape:a}=o.string.stringSplit(I("input",r,e,t),I("delimiter",r,e,t),I("skipEmpty",r,e,t));return[n,s,a]}case"StringToHashBucketFast":return[o.string.stringToHashBucketFast(I("input",r,e,t),I("numBuckets",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var sT=(r,e,t,o=Ye)=>{switch(r.op){case"Cast":return[o.cast(I("x",r,e,t),I("dtype",r,e,t))];case"ExpandDims":{let n=I("axis",r,e,t);return[o.expandDims(I("x",r,e,t),n)]}case"Squeeze":{let n=I("axis",r,e,t);return[o.squeeze(I("x",r,e,t),n)]}case"Reshape":return[o.reshape(I("x",r,e,t),I("shape",r,e,t))];case"MirrorPad":return[o.mirrorPad(I("x",r,e,t),I("padding",r,e,t),I("mode",r,e,t))];case"PadV2":case"Pad":return[o.pad(I("x",r,e,t),I("padding",r,e,t),I("constantValue",r,e,t))];case"SpaceToBatchND":{let n=I("blockShape",r,e,t),s=I("paddings",r,e,t);return[o.spaceToBatchND(I("x",r,e,t),n,s)]}case"BatchToSpaceND":{let n=I("blockShape",r,e,t),s=I("crops",r,e,t);return[o.batchToSpaceND(I("x",r,e,t),n,s)]}case"DepthToSpace":{let n=I("blockSize",r,e,t),s=I("dataFormat",r,e,t).toUpperCase();return[o.depthToSpace(I("x",r,e,t),n,s)]}case"BroadcastTo":return[o.broadcastTo(I("x",r,e,t),I("shape",r,e,t))];case"BroadcastArgs":return[o.broadcastArgs(I("s0",r,e,t),I("s1",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function oS(r,e,t,o,n=Ee){let s=((a,i,p)=>{switch(a.category){case"arithmetic":return n(()=>FN(a,i,p));case"basic_math":return n(()=>ON(a,i,p));case"control":return zN(a,i,p);case"convolution":return n(()=>UN(a,i,p));case"creation":return n(()=>GN(a,i,p));case"dynamic":return HN(a,i,p);case"evaluation":return n(()=>KN(a,i,p));case"image":return n(()=>XN(a,i,p));case"graph":return n(()=>qN(a,i,p));case"logical":return n(()=>YN(a,i,p));case"matrices":return n(()=>QN(a,i,p));case"normalization":return n(()=>ZN(a,i,p));case"ragged":return n(()=>JN(a,i,p));case"reduction":return n(()=>eT(a,i,p));case"slice_join":return n(()=>tT(a,i,p));case"sparse":return n(()=>rT(a,i,p));case"spectral":return n(()=>oT(a,i,p));case"string":return n(()=>nT(a,i,p));case"transformation":return n(()=>sT(a,i,p));case"hash_table":return jN(a,i,p,o);case"custom":let u=Gd(a.op);if(u&&u.customExecutor)return u.customExecutor(new rf(a,i,p));throw TypeError(`Custom op ${a.op} is not registered.`);default:throw TypeError(`Unknown op '${a.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,e,t);return y.isPromise(s)?s.then(a=>[].concat(a)):[].concat(s)}var dl=class{constructor(e={},t={},o={},n={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=o,this.functionMap=n,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function nS(r,e,t,o){let n=new Set,s=[],a=null,i=null,p=new Set,u=Object.keys(r).map(m=>Ir(m)[0]),c=[];o!=null&&(c=o.map(m=>Ir(m.name)[0]));let l=[...e];for(;l.length>0;){let m=l.pop();if((sS(m)||T6(m)||_6(m))&&a==null&&(a=m,i=a.children.map(d=>d.name).filter(d=>n.has(d))),n.add(m.name),t[m.name]==null&&u.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(d=>{p.has(d.name)||(p.add(d.name),l.push(d))})}}return{inputs:r,outputs:e,usedNodes:n,missingInputs:s,dynamicNode:a,syncInputs:i}}function aT(r,e,t){let{usedNodes:o,inputs:n}=t,s=[],a=Object.keys(n).map(c=>Ir(c)[0]).map(c=>r.nodes[c]),i=r.initNodes;a.forEach(c=>{o.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{o.has(c.name)&&s.push(c)}),i!=null&&i.forEach(c=>{o.has(c.name)&&s.push(c)});let p=new Set,u=[];for(;s.length>0;){let c=s.pop();p.add(c.name),e[c.name]||u.push(c),c.children.forEach(l=>{!p.has(l.name)&&o.has(l.name)&&l.inputs.every(m=>p.has(m.name))&&s.push(l)})}return u}var v6=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],k6=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],N6=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function sS(r){return v6.indexOf(r.op)>=0}function T6(r){return k6.indexOf(r.op)>=0}function _6(r){return N6.indexOf(r.op)>=0}var ku=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(o=>{this._functionExecutorMap[o]=new ku(e.functions[o],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(o=>e[o].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let o=e.map(s=>s.name).sort(),n=t.map(s=>s.name).sort();return o.join(this.SEPERATOR)+"--"+n.join(this.SEPERATOR)}compile(e,t){let o=nS(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:s,syncInputs:a}=o;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${a}]`);if(n.length>0){let i=t.map(u=>u.name),p=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${p}]. Missing the following inputs: [${n}]`)}return aT(this.graph,this.weightMap,o)}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return _r(t),t}cloneTensorList(e){return e?e.map(o=>this.cloneAndKeepTensor(o)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,o])=>[t,this.cloneTensorList(o)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let o=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=o.map(l=>this.graph.nodes[Ir(l)[0]]),s=t.map(l=>Ir(l)[0]),a=s.map(l=>this.graph.nodes[l]);a.length===0&&(a=this._outputs);let i=this.getCompilationKey(n,a),p=this.compiledMap.get(i);p==null&&(p=this.compile(e,a),this.compiledMap.set(i,p));try{this.keepIntermediateTensors=O().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(l){this.keepIntermediateTensors=!1,console.warn(l.message)}let u={},c={};return Ee(()=>{let l=new dl(this.weightMap,u,c,this.functionExecutorMap),m=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(h=>{let[g,x]=Ir(h),b=[];b[x]=e[h],m[g]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[g]=this.cloneTensorList(b))});let d=this.getFrozenTensorIds(m),f={};for(let h=0;hGt(h,m,l))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(o=>e[o]).map(o=>o.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,o,n,s,a,i){t.category==="control"||a.indexOf(e)!==-1||(o[e].forEach(p=>{p!=null&&(i[p.id]=(i[p.id]||0)+t.children.length)}),t.inputs.forEach(p=>{if(p.category!=="control"){let u=EN(p.name,o,n);u!=null&&u.forEach(c=>{if(c&&!c.kept&&!s.has(c.id)){let l=i[c.id];l===1?(c.dispose(),delete i[c.id]):l!=null&&i[c.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,o=!1,n={},s={}){this.disposeIntermediateTensors(),o||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=O().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let a=new dl(this.weightMap,n,s,this.functionExecutorMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,a,t,o),p=t.map(m=>Gt(m,i,a)),u=p.map(m=>m.id),c=Object.keys(e).map(m=>e[m].id),l=new Set([...u,...c,...this.weightIds]);return Object.values(i).forEach(m=>{m.forEach(d=>{d&&!d.isDisposed&&!l.has(d.id)&&d.dispose()})}),this.parent==null&&a.dispose(l),p}async executeFunctionAsync(e,t,o){let n=e.reduce((s,a,i)=>(s[this.inputs[i].name]=a,s),{});return this._executeAsync(n,this.outputNodes,!0,t,o)}async executeWithControlFlow(e,t,o,n){let s=Object.keys(e),a=s.map(C=>this.graph.nodes[Ir(C)[0]]),i=o.map(C=>Ir(C)[0]),p=i.map(C=>this.graph.nodes[C]);p.length===0&&(p=this._outputs);let{usedNodes:u,missingInputs:c,dynamicNode:l,syncInputs:m}=nS(e,p,this.weightMap,this._initNodes),d=[...a,...this.graph.weights,...this._initNodes||[]].map(C=>({node:C,contexts:t.currentContext})),f=Object.assign({},this.weightMap);Object.keys(e).forEach(C=>{let[w,k]=Ir(C),_=[];_[k]=e[C],f[w]=_});let h={},g=this.getFrozenTensorIds(f),x={};for(;d.length>0;){let C=this.processStack(a,d,t,f,x,g,i,h,u);await Promise.all(C)}l==null&&!n&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let b=p.filter(C=>!sS(C)&&!Gt(C.name,f,t)).map(C=>C.name);if(b.length>0){let C="";throw l!=null&&(C=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${m}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${s}]. Consider providing the following inputs: [${c}]. ${C}`)}return f}processStack(e,t,o,n,s,a,i,p,u){let c=[];for(;t.length>0;){let l=t.pop();o.currentContext=l.contexts;let m="";if(l.node.op==="Enter"&&I("isConstant",l.node,n,o)&&([m]=as(l.node.name,o)),n[l.node.name]==null){let d=oS(l.node,n,o,this._resourceManager);m||([m]=as(l.node.name,o));let f=o.currentContext;y.isPromise(d)?c.push(d.then(h=>(n[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),o.currentContext=f,this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u),h))):(n[m]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(d)),this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u))}else this.processChildNodes(l.node,t,o,n,s,u)}return c}processChildNodes(e,t,o,n,s,a){e.children.forEach(i=>{let[p]=as(i.name,o);s[p]||!a.has(i.name)||(i.op==="Merge"?i.inputNames.some(u=>!!Gt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})):i.inputNames.every(u=>!!Gt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let o=e[t],[n]=Ir(t),s=this.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===o.shape.length&&o.shape.every((p,u)=>a[u]===-1||a[u]===p);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${o.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(o.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${o.dtype}`)})}mapInputs(e){var t,o;let n={};for(let s in e){let a=(o=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||o===void 0?void 0:o[s];a!=null?n[a.name]=e[s]:n[s]=e[s]}return n}checkInputs(e){let t=Object.keys(e).filter(o=>{let[n]=Ir(o);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var o,n;let s=(n=(o=this._signature)===null||o===void 0?void 0:o.outputs)===null||n===void 0?void 0:n[t];return s!=null?s.name:t},{})}checkOutputs(e){e.forEach(t=>{let[o]=Ir(t);if(!this.graph.nodes[o])throw new Error(`The output '${t}' is not found in the graph`)})}};var af=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}};var $6="?tfjs-format=file",E6="model.json",fl=class{constructor(e,t={},o=La){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=o,t==null&&(this.loadOptions={}),this.resourceManager=new af}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return y.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,o=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(o=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=o,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new ku(ml.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let s=ml.Instance.transformGraph(e.modelInitializer);this.initializer=new ku(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let o=this.io.getSaveHandlers(e);if(o.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(o.length>1)throw new Error(`Found more than one (${o.length}) save handlers for URL '${e}'`);e=o[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof it?[e]:e,o={};return t.forEach((n,s)=>o[this.structuredOutputKeys[s]]=n),o}return e}predict(e,t){let o=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(o)}async predictAsync(e,t){let o=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(o)}normalizeInputs(e){var t;if(!(e instanceof it)&&!Array.isArray(e)){let s=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(s!=null)for(let a in s){let i=s[a];i.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-o} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((s,a)=>{var i,p,u;let c=(u=(p=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||p===void 0?void 0:p[a])===null||u===void 0?void 0:u.resourceId;return c!=null?s[a]=this.resourceIdToCapturedInput[c]:s[a]=e[n++],s},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,o=Object.keys(t);for(let n=0;n1?o:o[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let o=await this.executor.executeAsync(e,t);return o.length>1?o:o[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,o)=>(t[o]=[e[o]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Ot(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function A6(r,e={},t=La){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");e==null&&(e={}),e.fromTFHub&&typeof r=="string"&&(r=D6(r));let o=new fl(r,e,t);return await o.load(),o}function R6(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let e;if(r instanceof Array){let[o,n]=r;if(!o)throw new Error("modelJSON must be the first element of the array");if(!n||!(n instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in o))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in o))throw new Error("Model JSON is missing 'weightsManifest'");let s=La.getWeightSpecs(o.weightsManifest),a=La.getModelArtifactsForJSONSync(o,s,n);e=La.fromMemorySync(a)}else if("load"in r)e=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)e=La.fromMemorySync(r);else throw new Error("Unknown model format");let t=new fl(e);return t.load(),t}function D6(r){return r.endsWith("/")||(r=r+"/"),`${r}${E6}${$6}`}var F6="4.2.0";function j(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the CPU backend.`)})}var O6=Vt.whereImpl,Pi=class extends Zr{constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Fo(this,sr())}nextDataId(){return Pi.nextDataId++}write(e,t,o){this.firstUse&&(this.firstUse=!1,O().get("IS_NODE")&&S.warn(` + ${o}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),a=bf(s,t),i=o===0?0:r.size/o,p=De(()=>{let c=[];r=W(r,[1,o,i]);for(let l=0;l{switch(r.op){case"If":case"StatelessIf":{let o=I("thenBranch",r,e,t),n=I("elseBranch",r,e,t),s=I("cond",r,e,t),a=I("args",r,e,t);return(await s.data())[0]?t.functionMap[o].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap):t.functionMap[n].executeFunctionAsync(a,t.tensorArrayMap,t.tensorListMap)}case"While":case"StatelessWhile":{let o=I("body",r,e,t),n=I("cond",r,e,t),s=I("args",r,e,t),a=await t.functionMap[n].executeFunctionAsync(s,t.tensorArrayMap,t.tensorListMap),i=s.map(c=>c.id),p=await a[0].data();a.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=s;for(;p[0];){let c=u;u=await t.functionMap[o].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);let l=u.map(d=>d.id);c.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()});let m=await t.functionMap[n].executeFunctionAsync(u,t.tensorArrayMap,t.tensorListMap);p=await m[0].data(),m.forEach(d=>{!d.kept&&i.indexOf(d.id)===-1&&l.indexOf(d.id)===-1&&d.dispose()})}return u}case"LoopCond":{let o=I("pred",r,e,t);return[As(o)]}case"Switch":{let o=I("pred",r,e,t),n=I("data",r,e,t);return n.kept||(n=As(n)),(await o.data())[0]?[void 0,n]:[n,void 0]}case"Merge":{let o=r.inputNames.find(n=>Bt(n,e,t)!==void 0);if(o){let n=Bt(o,e,t);return[As(n)]}return}case"Enter":{let o=I("frameName",r,e,t),n=I("tensor",r,e,t);return t.enterFrame(o),[As(n)]}case"Exit":{let o=I("tensor",r,e,t);return t.exitFrame(),[As(o)]}case"NextIteration":{let o=I("tensor",r,e,t);return t.nextIteration(),[As(o)]}case"TensorArrayV3":{let o=I("size",r,e,t),n=I("dtype",r,e,t),s=I("elementShape",r,e,t),a=I("dynamicSize",r,e,t),i=I("clearAfterRead",r,e,t),p=I("identicalElementShapes",r,e,t),u=I("name",r,e,t),c=new Cf(u,n,o,s,p,a,i);return t.addTensorArray(c),[c.idTensor,ke(1)]}case"TensorArrayWriteV3":{let o=I("tensorArrayId",r,e,t),n=I("index",r,e,t),s=I("tensor",r,e,t),a=t.getTensorArray(o.id);return a.write(n,s),[a.idTensor]}case"TensorArrayReadV3":{let o=I("tensorArrayId",r,e,t),n=I("index",r,e,t);return[t.getTensorArray(o.id).read(n)]}case"TensorArrayGatherV3":{let o=I("tensorArrayId",r,e,t),n=I("indices",r,e,t),s=I("dtype",r,e,t);return[t.getTensorArray(o.id).gather(n,s)]}case"TensorArrayScatterV3":{let o=I("tensorArrayId",r,e,t),n=I("indices",r,e,t),s=I("tensor",r,e,t),a=t.getTensorArray(o.id);return a.scatter(n,s),[a.idTensor]}case"TensorArrayConcatV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id),s=I("dtype",r,e,t);return[n.concat(s)]}case"TensorArraySplitV3":{let o=I("tensorArrayId",r,e,t),n=I("tensor",r,e,t),s=I("lengths",r,e,t),a=t.getTensorArray(o.id);return a.split(s,n),[a.idTensor]}case"TensorArraySizeV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id);return[ke(n.size(),"int32")]}case"TensorArrayCloseV3":{let o=I("tensorArrayId",r,e,t),n=t.getTensorArray(o.id);return n.clearAndClose(),[n.idTensor]}case"TensorListSetItem":{let o=I("tensorListId",r,e,t),n=I("index",r,e,t),s=I("tensor",r,e,t),a=t.getTensorList(o.id);return a.setItem(n,s),[a.idTensor]}case"TensorListGetItem":{let o=I("tensorListId",r,e,t),n=I("index",r,e,t),s=I("elementShape",r,e,t),a=I("elementDType",r,e,t);return[t.getTensorList(o.id).getItem(n,s,a)]}case"TensorListScatterV2":case"TensorListScatter":{let o=I("indices",r,e,t),n=I("tensor",r,e,t),s=I("elementShape",r,e,t),a=I("numElements",r,e,t),i=sT(n,o,s,a);return t.addTensorList(i),[i.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let o=I("elementShape",r,e,t),n=I("elementDType",r,e,t),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let a=I(s,r,e,t),i=r.op==="TensorListReserve"?-1:a,p=nT(o,n,a,i);return t.addTensorList(p),[p.idTensor]}case"TensorListGather":{let o=I("tensorListId",r,e,t),n=I("indices",r,e,t),s=I("elementShape",r,e,t),a=I("elementDType",r,e,t);return[t.getTensorList(o.id).gather(n,a,s)]}case"TensorListStack":{let o=I("tensorListId",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t),a=I("numElements",r,e,t);return[t.getTensorList(o.id).stack(n,s,a)]}case"TensorListFromTensor":{let o=I("tensor",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t),a=oT(o,n,s);return t.addTensorList(a),[a.idTensor]}case"TensorListConcat":case"TensorListConcatV2":{let o=I("tensorListId",r,e,t),n=t.getTensorList(o.id),s=I("dtype",r,e,t),a=I("elementShape",r,e,t);return[n.concat(s,a)]}case"TensorListPushBack":{let o=I("tensorListId",r,e,t),n=I("tensor",r,e,t),s=t.getTensorList(o.id);return s.pushBack(n),[s.idTensor]}case"TensorListPopBack":{let o=I("tensorListId",r,e,t),n=I("elementShape",r,e,t),s=I("elementDType",r,e,t);return[t.getTensorList(o.id).popBack(n,s)]}case"TensorListSplit":{let o=I("tensor",r,e,t),n=I("elementShape",r,e,t),s=I("lengths",r,e,t),a=aT(o,s,n);return t.addTensorList(a),[a.idTensor]}case"TensorListLength":{let o=I("tensorListId",r,e,t),n=t.getTensorList(o.id);return[ke(n.size(),"int32")]}case"TensorListResize":{let o=I("tensorListId",r,e,t),n=I("size",r,e,t),a=t.getTensorList(o.id).resize(n);return t.addTensorList(a),[a.idTensor]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};function uT(r,e,t){let[o,n]=I("fusedOps",r,e,t),s=o==="biasadd",a=!s,i=n==="prelu",p=o==="fusedbatchnorm",u=I("numArgs",r,e,t);if(s){if(i&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&s&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(p)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");let c=I("strides",r,e,t),l=Al(r,e,t),m=I("dataFormat",r,e,t).toUpperCase(),d=I("dilations",r,e,t),[f,h]=I("args",r,e,t);a&&(h=f,f=void 0);let g=I("leakyreluAlpha",r,e,t);return{stride:c,pad:l,dataFormat:m,dilations:d,biasArg:f,preluArg:h,activationFunc:n,leakyreluAlpha:g}}var pT=(r,e,t,o=Ze)=>{switch(r.op){case"Conv1D":{let n=I("stride",r,e,t),s=I("pad",r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilation",r,e,t);return[o.conv1d(I("x",r,e,t),I("filter",r,e,t),n,s,a,i)]}case"Conv2D":{let n=I("strides",r,e,t),s=Al(r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilations",r,e,t);return[o.conv2d(I("x",r,e,t),I("filter",r,e,t),[n[1],n[2]],s,a,[i[1],i[2]])]}case"_FusedConv2D":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=uT(r,e,t);return[o.fused.conv2d({x:I("x",r,e,t),filter:I("filter",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case"FusedDepthwiseConv2dNative":{let{stride:n,pad:s,dataFormat:a,dilations:i,biasArg:p,preluArg:u,activationFunc:c,leakyreluAlpha:l}=uT(r,e,t);return[o.fused.depthwiseConv2d({x:I("x",r,e,t),filter:I("filter",r,e,t),strides:[n[1],n[2]],pad:s,dataFormat:a,dilations:[i[1],i[2]],bias:p,activation:c,preluActivationWeights:u,leakyreluAlpha:l})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{let n=I("outputShape",r,e,t),s=I("strides",r,e,t),a=Al(r,e,t);return[o.conv2dTranspose(I("x",r,e,t),I("filter",r,e,t),n,[s[1],s[2]],a)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let n=I("strides",r,e,t),s=Al(r,e,t),a=I("dilations",r,e,t),i=I("dataFormat",r,e,t).toUpperCase();return[o.depthwiseConv2d(I("input",r,e,t),I("filter",r,e,t),[n[1],n[2]],s,i,[a[1],a[2]])]}case"Conv3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("dataFormat",r,e,t).toUpperCase(),i=I("dilations",r,e,t);return[o.conv3d(I("x",r,e,t),I("filter",r,e,t),[n[1],n[2],n[3]],s,a,[i[1],i[2],i[3]])]}case"AvgPool":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.avgPool(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case"MaxPool":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.maxPool(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s)]}case"MaxPoolWithArgmax":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t),i=I("includeBatchInIndex",r,e,t),{result:p,indexes:u}=o.maxPoolWithArgmax(I("x",r,e,t),[a[1],a[2]],[n[1],n[2]],s,i);return[p,u]}case"AvgPool3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.avgPool3d(I("x",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case"MaxPool3D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("kernelSize",r,e,t);return[o.maxPool3d(I("x",r,e,t),[a[1],a[2],a[3]],[n[1],n[2],n[3]],s)]}case"Dilation2D":{let n=I("strides",r,e,t),s=I("pad",r,e,t),a=I("dilations",r,e,t),i=n[1],p=n[2],u=a[1],c=a[2];return[o.dilation2d(I("x",r,e,t),I("filter",r,e,t),[i,p],s,[u,c],"NHWC")]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var cT=(r,e,t,o=Ze)=>{switch(r.op){case"Fill":{let n=I("shape",r,e,t),s=I("dtype",r,e,t),a=I("value",r,e,t);return[o.fill(n,a,s)]}case"LinSpace":{let n=I("start",r,e,t),s=I("stop",r,e,t),a=I("num",r,e,t);return[o.linspace(n,s,a)]}case"Multinomial":{let n=I("logits",r,e,t),s=I("numSamples",r,e,t),a=I("seed",r,e,t);return[o.multinomial(n,s,a)]}case"OneHot":{let n=I("indices",r,e,t),s=I("depth",r,e,t),a=I("onValue",r,e,t),i=I("offValue",r,e,t),p=I("dtype",r,e,t);return[o.oneHot(n,s,a,i,p)]}case"Ones":return[o.ones(I("shape",r,e,t),I("dtype",r,e,t))];case"OnesLike":return[o.onesLike(I("x",r,e,t))];case"RandomStandardNormal":return[o.randomStandardNormal(I("shape",r,e,t),I("dtype",r,e,t),I("seed",r,e,t))];case"RandomUniform":return[o.randomUniform(I("shape",r,e,t),I("minval",r,e,t),I("maxval",r,e,t),I("dtype",r,e,t))];case"RandomUniformInt":return[o.randomUniformInt(I("shape",r,e,t),I("minval",r,e,t),I("maxval",r,e,t),I("seed",r,e,t))];case"Range":{let n=I("start",r,e,t),s=I("stop",r,e,t),a=I("step",r,e,t);return[o.range(n,s,a,I("dtype",r,e,t))]}case"TruncatedNormal":{let n=I("shape",r,e,t),s=I("mean",r,e,t),a=I("stdDev",r,e,t),i=I("seed",r,e,t);return[o.truncatedNormal(n,s,a,I("dtype",r,e,t),i)]}case"Zeros":return[o.zeros(I("shape",r,e,t),I("dtype",r,e,t))];case"ZerosLike":return[o.zerosLike(I("x",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function yS(r,e,t){let o=I("boxes",r,e,t),n=I("scores",r,e,t),s=I("maxOutputSize",r,e,t),a=I("iouThreshold",r,e,t),i=I("scoreThreshold",r,e,t),p=I("softNmsSigma",r,e,t);return{boxes:o,scores:n,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:p}}var lT=async(r,e,t,o,n=Ze)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u,softNmsSigma:c}=yS(r,e,t),l=await n.image.nonMaxSuppressionWithScoreAsync(s,a,i,p,u,c);return[l.selectedIndices,l.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=yS(r,e,t),c=I("padToMaxOutputSize",r,e,t),l=await n.image.nonMaxSuppressionPaddedAsync(s,a,i,p,u,c);return[l.selectedIndices,l.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:s,scores:a,maxOutputSize:i,iouThreshold:p,scoreThreshold:u}=yS(r,e,t);return[await n.image.nonMaxSuppressionAsync(s,a,i,p,u)]}case"Where":{let s=n.cast(I("condition",r,e,t),"bool"),a=[await n.whereAsync(s)];return s.dispose(),a}case"ListDiff":return n.setdiff1dAsync(I("x",r,e,t),I("y",r,e,t));default:throw TypeError(`Node type ${r.op} is not implemented`)}};var mT=(r,e,t,o=Ze)=>{switch(r.op){case"LowerBound":{let n=I("sortedSequence",r,e,t),s=I("values",r,e,t);return[o.lowerBound(n,s)]}case"TopKV2":{let n=I("x",r,e,t),s=I("k",r,e,t),a=I("sorted",r,e,t),i=o.topk(n,s,a);return[i.values,i.indices]}case"UpperBound":{let n=I("sortedSequence",r,e,t),s=I("values",r,e,t);return[o.upperBound(n,s)]}case"Unique":{let n=I("x",r,e,t),s=o.unique(n);return[s.values,s.indices]}case"UniqueV2":{let n=I("x",r,e,t),s=I("axis",r,e,t),a=o.unique(n,s);return[a.values,a.indices]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var dT=(r,e,t,o=Ze)=>{switch(r.op){case"Const":return e[r.name];case"PlaceholderWithDefault":let n=I("default",r,e,t);return[Bt(r.name,e,t)||n];case"Placeholder":return[Bt(r.name,e,t)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{let c=I("x",r,e,t);return[As(c)]}case"IdentityN":return I("x",r,e,t).map(c=>As(c));case"Snapshot":let s=I("x",r,e,t);return[As(s)];case"Shape":return[o.tensor1d(I("x",r,e,t).shape,"int32")];case"ShapeN":return I("x",r,e,t).map(c=>o.tensor1d(c.shape));case"Size":return[o.scalar(I("x",r,e,t).size,"int32")];case"Rank":return[o.scalar(I("x",r,e,t).rank,"int32")];case"NoOp":return[o.scalar(1)];case"Print":let a=I("x",r,e,t),i=I("data",r,e,t),p=I("message",r,e,t),u=I("summarize",r,e,t);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(let c=0;ce.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return ke(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);let o=await e.data();return this.tensorMap.forEach(n=>n.dispose()),this.tensorMap.clear(),De(()=>{let n=po(t),s=o.length,a=n.length;y.assert(s===a,()=>`The number of elements doesn't match, keys has ${s} elements, the values has ${a} elements.`);for(let i=0;i{let n=[];for(let s=0;s{switch(r.op){case"HashTable":case"HashTableV2":{let n=o.getHashTableHandleByName(r.name);if(n!=null)return[n];{let s=I("keyDType",r,e,t),a=I("valueDType",r,e,t),i=new wf(s,a);return o.addHashTable(r.name,i),[i.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{let n=I("tableHandle",r,e,t,o),s=I("keys",r,e,t),a=I("values",r,e,t);return[await o.getHashTableById(n.id).import(s,a)]}case"LookupTableFind":case"LookupTableFindV2":{let n=I("tableHandle",r,e,t,o),s=I("keys",r,e,t),a=I("defaultValue",r,e,t);return[await o.getHashTableById(n.id).find(s,a)]}case"LookupTableSize":case"LookupTableSizeV2":{let n=I("tableHandle",r,e,t,o);return[o.getHashTableById(n.id).tensorSize()]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var hT=(r,e,t,o=Ze)=>{switch(r.op){case"ResizeBilinear":{let n=I("images",r,e,t),s=I("size",r,e,t),a=I("alignCorners",r,e,t),i=I("halfPixelCenters",r,e,t);return[o.image.resizeBilinear(n,[s[0],s[1]],a,i)]}case"ResizeNearestNeighbor":{let n=I("images",r,e,t),s=I("size",r,e,t),a=I("alignCorners",r,e,t),i=I("halfPixelCenters",r,e,t);return[o.image.resizeNearestNeighbor(n,[s[0],s[1]],a,i)]}case"CropAndResize":{let n=I("image",r,e,t),s=I("boxes",r,e,t),a=I("boxInd",r,e,t),i=I("cropSize",r,e,t),p=I("method",r,e,t),u=I("extrapolationValue",r,e,t);return[o.image.cropAndResize(n,s,a,i,p,u)]}case"ImageProjectiveTransformV3":{let n=I("images",r,e,t),s=I("transforms",r,e,t),a=I("outputShape",r,e,t),i=I("fillValue",r,e,t),p=I("interpolation",r,e,t),u=I("fillMode",r,e,t);return[o.image.transform(n,s,p.toLowerCase(),u.toLowerCase(),i,a)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var gT=(r,e,t,o=Ze)=>{switch(r.op){case"Equal":return[o.equal(I("a",r,e,t),I("b",r,e,t))];case"NotEqual":return[o.notEqual(I("a",r,e,t),I("b",r,e,t))];case"Greater":return[o.greater(I("a",r,e,t),I("b",r,e,t))];case"GreaterEqual":return[o.greaterEqual(I("a",r,e,t),I("b",r,e,t))];case"Less":return[o.less(I("a",r,e,t),I("b",r,e,t))];case"LessEqual":return[o.lessEqual(I("a",r,e,t),I("b",r,e,t))];case"LogicalAnd":return[o.logicalAnd(I("a",r,e,t),I("b",r,e,t))];case"LogicalNot":return[o.logicalNot(I("a",r,e,t))];case"LogicalOr":return[o.logicalOr(I("a",r,e,t),I("b",r,e,t))];case"Select":case"SelectV2":return[o.where(I("condition",r,e,t),I("a",r,e,t),I("b",r,e,t))];case"BitwiseAnd":return[o.bitwiseAnd(I("a",r,e,t),I("b",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var xT=(r,e,t,o=Ze)=>{switch(r.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[o.matMul(I("a",r,e,t),I("b",r,e,t),I("transposeA",r,e,t),I("transposeB",r,e,t))];case"Einsum":return[o.einsum(I("equation",r,e,t),...I("tensors",r,e,t))];case"Transpose":return[o.transpose(I("x",r,e,t),I("perm",r,e,t))];case"_FusedMatMul":let[n,s]=I("fusedOps",r,e,t),a=n==="biasadd",i=s==="prelu",p=I("numArgs",r,e,t),u=I("leakyreluAlpha",r,e,t);if(a){if(i&&p!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&p!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,l]=I("args",r,e,t);return[o.fused.matMul({a:I("a",r,e,t),b:I("b",r,e,t),transposeA:I("transposeA",r,e,t),transposeB:I("transposeB",r,e,t),bias:c,activation:s,preluActivationWeights:l,leakyreluAlpha:u})];case"MatrixBandPart":return[o.linalg.bandPart(I("a",r,e,t),I("numLower",r,e,t),I("numUpper",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var yT=(r,e,t,o=Ze)=>{switch(r.op){case"EuclideanNorm":return[o.euclideanNorm(I("x",r,e,t),I("axis",r,e,t),I("keepDims",r,e,t))];case"FusedBatchNorm":case"FusedBatchNormV2":return[o.batchNorm(I("x",r,e,t),I("mean",r,e,t),I("variance",r,e,t),I("offset",r,e,t),I("scale",r,e,t),I("epsilon",r,e,t))];case"FusedBatchNormV3":return[o.batchNorm(I("x",r,e,t),I("mean",r,e,t),I("variance",r,e,t),I("offset",r,e,t),I("scale",r,e,t),I("epsilon",r,e,t))];case"LRN":return[o.localResponseNormalization(I("x",r,e,t),I("radius",r,e,t),I("bias",r,e,t),I("alpha",r,e,t),I("beta",r,e,t))];case"Softmax":return[o.softmax(I("x",r,e,t))];case"LogSoftmax":return[o.logSoftmax(I("x",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var bT=(r,e,t,o=Ze)=>{switch(r.op){case"RaggedGather":{let{outputNestedSplits:n,outputDenseValues:s}=o.raggedGather(I("paramsNestedSplits",r,e,t),I("paramsDenseValues",r,e,t),I("indices",r,e,t),I("outputRaggedRank",r,e,t));return n.concat(s)}case"RaggedRange":{let{rtNestedSplits:n,rtDenseValues:s}=o.raggedRange(I("starts",r,e,t),I("limits",r,e,t),I("splits",r,e,t));return[n,s]}case"RaggedTensorToTensor":return[o.raggedTensorToTensor(I("shape",r,e,t),I("values",r,e,t),I("defaultValue",r,e,t),I("rowPartitionTensors",r,e,t),I("rowPartitionTypes",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var CT=(r,e,t,o=Ze)=>{switch(r.op){case"Max":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.max(I("x",r,e,t),i,p)]}case"Mean":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.mean(I("x",r,e,t),i,p)]}case"Min":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.min(I("x",r,e,t),i,p)]}case"Sum":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.sum(I("x",r,e,t),i,p)]}case"All":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.all(I("x",r,e,t),i,p)]}case"Any":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.any(I("x",r,e,t),i,p)]}case"ArgMax":{let i=I("axis",r,e,t);return[o.argMax(I("x",r,e,t),i)]}case"ArgMin":{let i=I("axis",r,e,t);return[o.argMin(I("x",r,e,t),i)]}case"Prod":{let i=I("axis",r,e,t),p=I("keepDims",r,e,t);return[o.prod(I("x",r,e,t),i,p)]}case"Cumprod":{let i=I("axis",r,e,t),p=I("exclusive",r,e,t),u=I("reverse",r,e,t);return[o.cumprod(I("x",r,e,t),i,p,u)]}case"Cumsum":{let i=I("axis",r,e,t),p=I("exclusive",r,e,t),u=I("reverse",r,e,t);return[o.cumsum(I("x",r,e,t),i,p,u)]}case"Bincount":let n=I("x",r,e,t),s=I("weights",r,e,t),a=I("size",r,e,t);return[o.bincount(n,s,a)];case"DenseBincount":{let i=I("x",r,e,t),p=I("weights",r,e,t),u=I("size",r,e,t),c=I("binaryOutput",r,e,t);return[o.denseBincount(i,p,u,c)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var wT=(r,e,t,o=Ze)=>{switch(r.op){case"ConcatV2":case"Concat":{let n=I("n",r,e,t),s=I("axis",r,e,t),a=I("tensors",r,e,t);return a=a.slice(0,n),[o.concat(a,s)]}case"Gather":{let n=I("x",r,e,t),s=I("indices",r,e,t);return[o.gather(n,o.cast(s,"int32"),0)]}case"GatherV2":{let n=I("axis",r,e,t),s=I("batchDims",r,e,t),a=I("x",r,e,t),i=I("indices",r,e,t);return[o.gather(a,o.cast(i,"int32"),n,s)]}case"Reverse":{let n=I("dims",r,e,t),s=[];for(let i=0;i{let n=I("axis",r,e,t),s=I("tensors",r,e,t),a=s[0].shape,i=o.squeeze(s[0]).shape,p=s.map(u=>{let c=y.arraysEqual(u.shape,a);if(!c&&!y.arraysEqual(o.squeeze(u).shape,i))throw new Error("the input tensors shape does not match");return c?u:o.reshape(u,a)});return[o.stack(p,n)]});case"Unpack":{let n=I("axis",r,e,t),s=I("tensor",r,e,t);return o.unstack(s,n)}case"Tile":{let n=I("reps",r,e,t);return[o.tile(I("x",r,e,t),n)]}case"Split":case"SplitV":{let n=I("axis",r,e,t),s=I("numOrSizeSplits",r,e,t),a=I("x",r,e,t);return o.split(a,s,n)}case"ScatterNd":{let n=I("indices",r,e,t),s=I("values",r,e,t),a=I("shape",r,e,t);return[o.scatterND(n,s,a)]}case"GatherNd":{let n=I("x",r,e,t),s=I("indices",r,e,t);return[o.gatherND(n,s)]}case"SparseToDense":{let n=I("sparseIndices",r,e,t),s=I("outputShape",r,e,t),a=I("sparseValues",r,e,t),i=I("defaultValue",r,e,t);return[o.sparseToDense(n,a,s,a.dtype===i.dtype?i:o.cast(i,a.dtype))]}case"TensorScatterUpdate":{let n=I("indices",r,e,t),s=I("values",r,e,t),a=I("tensor",r,e,t);return[o.tensorScatterUpdate(a,n,s)]}default:throw TypeError(`Node type ${r.op} is not implemented`)}};var ST=(r,e,t,o=Ze)=>{switch(r.op){case"SparseFillEmptyRows":{let{outputIndices:n,outputValues:s,emptyRowIndicator:a,reverseIndexMap:i}=o.sparse.sparseFillEmptyRows(I("indices",r,e,t),I("values",r,e,t),I("denseShape",r,e,t),I("defaultValue",r,e,t));return[n,s,a,i]}case"SparseReshape":{let{outputIndices:n,outputShape:s}=o.sparse.sparseReshape(I("inputIndices",r,e,t),I("inputShape",r,e,t),I("newShape",r,e,t));return[n,s]}case"SparseSegmentMean":return[o.sparse.sparseSegmentMean(I("data",r,e,t),I("indices",r,e,t),I("segmentIds",r,e,t))];case"SparseSegmentSum":return[o.sparse.sparseSegmentSum(I("data",r,e,t),I("indices",r,e,t),I("segmentIds",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var IT=(r,e,t,o=Ze)=>{switch(r.op){case"FFT":return[o.fft(I("x",r,e,t))];case"IFFT":return[o.ifft(I("x",r,e,t))];case"RFFT":return[o.rfft(I("x",r,e,t))];case"IRFFT":return[o.irfft(I("x",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var vT=(r,e,t,o=Ze)=>{switch(r.op){case"StaticRegexReplace":return[o.string.staticRegexReplace(I("input",r,e,t),I("pattern",r,e,t),I("rewrite",r,e,t),I("replaceGlobal",r,e,t))];case"StringNGrams":{let{nGrams:n,nGramsSplits:s}=o.string.stringNGrams(I("data",r,e,t),I("dataSplits",r,e,t),I("separator",r,e,t),I("nGramWidths",r,e,t),I("leftPad",r,e,t),I("rightPad",r,e,t),I("padWidth",r,e,t),I("preserveShortSequences",r,e,t));return[n,s]}case"StringSplit":{let{indices:n,values:s,shape:a}=o.string.stringSplit(I("input",r,e,t),I("delimiter",r,e,t),I("skipEmpty",r,e,t));return[n,s,a]}case"StringToHashBucketFast":return[o.string.stringToHashBucketFast(I("input",r,e,t),I("numBuckets",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var kT=(r,e,t,o=Ze)=>{switch(r.op){case"Cast":return[o.cast(I("x",r,e,t),I("dtype",r,e,t))];case"ExpandDims":{let n=I("axis",r,e,t);return[o.expandDims(I("x",r,e,t),n)]}case"Squeeze":{let n=I("axis",r,e,t);return[o.squeeze(I("x",r,e,t),n)]}case"Reshape":return[o.reshape(I("x",r,e,t),I("shape",r,e,t))];case"EnsureShape":return[o.ensureShape(I("x",r,e,t),I("shape",r,e,t))];case"MirrorPad":return[o.mirrorPad(I("x",r,e,t),I("padding",r,e,t),I("mode",r,e,t))];case"PadV2":case"Pad":return[o.pad(I("x",r,e,t),I("padding",r,e,t),I("constantValue",r,e,t))];case"SpaceToBatchND":{let n=I("blockShape",r,e,t),s=I("paddings",r,e,t);return[o.spaceToBatchND(I("x",r,e,t),n,s)]}case"BatchToSpaceND":{let n=I("blockShape",r,e,t),s=I("crops",r,e,t);return[o.batchToSpaceND(I("x",r,e,t),n,s)]}case"DepthToSpace":{let n=I("blockSize",r,e,t),s=I("dataFormat",r,e,t).toUpperCase();return[o.depthToSpace(I("x",r,e,t),n,s)]}case"BroadcastTo":return[o.broadcastTo(I("x",r,e,t),I("shape",r,e,t))];case"BroadcastArgs":return[o.broadcastArgs(I("s0",r,e,t),I("s1",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function bS(r,e,t,o,n=De){let s=((a,i,p)=>{switch(a.category){case"arithmetic":return n(()=>eT(a,i,p));case"basic_math":return n(()=>tT(a,i,p));case"control":return iT(a,i,p);case"convolution":return n(()=>pT(a,i,p));case"creation":return n(()=>cT(a,i,p));case"dynamic":return lT(a,i,p);case"evaluation":return n(()=>mT(a,i,p));case"image":return n(()=>hT(a,i,p));case"graph":return n(()=>dT(a,i,p));case"logical":return n(()=>gT(a,i,p));case"matrices":return n(()=>xT(a,i,p));case"normalization":return n(()=>yT(a,i,p));case"ragged":return n(()=>bT(a,i,p));case"reduction":return n(()=>CT(a,i,p));case"slice_join":return n(()=>wT(a,i,p));case"sparse":return n(()=>ST(a,i,p));case"spectral":return n(()=>IT(a,i,p));case"string":return n(()=>vT(a,i,p));case"transformation":return n(()=>kT(a,i,p));case"hash_table":return fT(a,i,p,o);case"custom":let u=sf(a.op);if(u&&u.customExecutor)return u.customExecutor(new yf(a,i,p));throw TypeError(`Custom op ${a.op} is not registered.`);default:throw TypeError(`Unknown op '${a.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,e,t);return y.isPromise(s)?s.then(a=>[].concat(a)):[].concat(s)}var Pl=class{constructor(e={},t={},o={},n={},s){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=o,this.functionMap=n,this.parseNodeNameCache=s,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function CS(r,e,t,o){let n=new Set,s=[],a=null,i=null,p=new Set,u=new Set(Object.keys(r).map(m=>Nr(m)[0]));o=o||[];let c=new Set(o.map(m=>Nr(m.name)[0])),l=[...e];for(;l.length>0;){let m=l.pop();if((cu(m)||L5(m)||B5(m))&&a==null&&(a=m,i=a.children.map(d=>d.name).filter(d=>n.has(d))),n.add(m.name),t[m.name]==null&&!u.has(m.name)&&!c.has(m.name)){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(d=>{p.has(d.name)||(p.add(d.name),l.push(d))})}}return{inputs:r,outputs:e,usedNodes:n,missingInputs:s,dynamicNode:a,syncInputs:i}}function NT(r,e){let{usedNodes:t,inputs:o}=e,n=Object.keys(o).map(g=>Nr(g)[0]).map(g=>r.nodes[g]),s=r.initNodes||[],a=g=>t.has(typeof g=="string"?g:g.name);function i(g){return[...new Map(g.map(x=>[x.name,x])).values()]}let p=i([...n,...r.weights,...s]).filter(a),u=i([...p,...Object.values(r.nodes)]).filter(a),c=new Map(u.map(g=>[g.name,g])),l={};for(let g of u){l[g.name]=l[g.name]||0;for(let x of g.children)a(x)||(l[x.name]=Number.POSITIVE_INFINITY),l[x.name]=(l[x.name]||0)+1}let m=Object.entries(l).filter(([,g])=>g===0).map(([g])=>g),d=[...m];for(;m.length>0;){let g=m.pop(),x=c.get(g);for(let b of x.children.filter(a))--l[b.name]===0&&(d.push(b.name),m.push(b.name))}let f=d.map(g=>c.get(g)),h=A5(f,p);return F5(h,p),h}function A5(r,e){let t=new Map(r.map(a=>[a.name,a])),o=e.map(a=>a.name),n=new Set(o);for(;o.length>0;){let a=o.pop(),i=t.get(a);for(let p of i.children)!t.has(p.name)||n.has(p.name)||(n.add(p.name),o.push(p.name))}return r.filter(a=>n.has(a.name))}var hc=class extends Error{constructor(e){super(`NodesExecutionOrderError: ${e}`)}};function F5(r,e){let t=new Map(r.map((i,p)=>[i.name,p])),o=new Set(e.map(i=>i.name)),n=i=>o.has(typeof i=="string"?i:i.name),s=new Set(r.map(i=>i.name)),a=i=>s.has(typeof i=="string"?i:i.name);for(let i of r){for(let p of i.children.filter(a)){if(!t.has(p.name))throw new hc(`Child ${p.name} of node ${i.name} is unreachable.`);if(t.get(i.name)>t.get(p.name))throw new hc(`Node ${i.name} is scheduled to run after its child ${p.name}.`)}if(!n(i))for(let p of i.inputs){if(!t.has(p.name))throw new hc(`Input ${p.name} of node ${i.name} is unreachable.`);if(t.get(p.name)>t.get(i.name))throw new hc(`Node ${i.name} is scheduled to run before its input ${p.name}.`)}}}function TT(r){let e=new Map(r.map((i,p)=>[i.name,p])),t=Number.MAX_SAFE_INTEGER,o=r.map((i,p)=>cu(i)?t:p),n=i=>{let p=o[e.get(i.name)];return p==null?-1:p},s=r.map((i,p)=>i.children.map(n).reduce((u,c)=>Math.max(u,c),o[p])),a=new Map;for(let i=0;ie[o].map(n=>n.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(o=>{this._functionExecutorMap[o]=new op(e.functions[o],this)})}getCompilationKey(e,t){let o=e.map(s=>s.name).sort(),n=t.map(s=>s.name).sort();return o.join(this.SEPARATOR)+"--"+n.join(this.SEPARATOR)}compile(e,t){let o=CS(e,t,this.weightMap,this._initNodes),{missingInputs:n,dynamicNode:s,syncInputs:a}=o;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${a}]`);if(n.length>0){let u=t.map(l=>l.name),c=Object.keys(e);throw new Error(`Cannot compute the outputs [${u}] from the provided inputs [${c}]. Missing the following inputs: [${n}]`)}let i=NT(this.graph,o),p=TT(i);return{orderedNodes:i,nodeLiveUntilMap:p}}cloneAndKeepTensor(e){if(e==null)return null;let t=e.clone();return Er(t),t}cloneTensorList(e){return e?e.map(o=>this.cloneAndKeepTensor(o)):null}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([t,o])=>[t,this.cloneTensorList(o)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);let o=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let n=o.map(m=>this.graph.nodes[Nr(m)[0]]),s=t.map(m=>Nr(m)[0]),a=new Set(s),i=s.map(m=>this.graph.nodes[m]);i.length===0&&(i=this._outputs);let p=this.getCompilationKey(n,i),u=this.compiledMap.get(p);u==null&&(u=this.compile(e,i),this.compiledMap.set(p,u));try{this.keepIntermediateTensors=P().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let c={},l={};return De(()=>{let m=new Pl(this.weightMap,c,l,this.functionExecutorMap,this.parseNodeNameCache),d=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(x=>{let[b,w]=Nr(x,m),S=[];S[w]=e[x],d[b]=S,this.keepIntermediateTensors&&(this.clonedTensorsMap[b]=this.cloneTensorList(S))});let f=this.getFrozenTensorIds(d),{orderedNodes:h,nodeLiveUntilMap:g}=u;for(let x of h){if(d[x.name])continue;let b=bS(x,d,m,this._resourceManager);if(y.isPromise(b))throw new Error(`The execution of the op '${x.op}' returned a promise. Please use model.executeAsync() instead.`);d[x.name]=b,this.keepIntermediateTensors&&(this.clonedTensorsMap[x.name]=this.cloneTensorList(b)),this.checkTensorForDisposalWithNodeLiveUntilInfo(x,d,m,f,a,g.get(x.name))}return this.parent==null&&m.dispose(f),t.map(x=>Bt(x,d,m))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(o=>e[o]).map(o=>o.map(n=>n.id)));return new Set(t)}checkTensorForDisposal(e,t,o,n,s,a,i){if(!(cu(t)||a.has(e))){for(let p of o[e])p!=null&&(i[p.id]=(i[p.id]||0)+t.children.length);for(let p of t.inputs){if(cu(p))continue;let u=Qw(p.name,o,n);if(u!=null)for(let c of u){if(!c||c.kept||s.has(c.id))continue;let l=i[c.id];l===1?(c.dispose(),delete i[c.id]):l!=null&&i[c.id]--}}}}checkTensorForDisposalWithNodeLiveUntilInfo(e,t,o,n,s,a){function i(p){return cu(p)||s.has(p.name)}if(!(cu(e)||a==null))for(let p of a){if(i(p))continue;let u=Qw(p.name,t,o);for(let c of u)!c||c.kept||n.has(c.id)||c.dispose()}}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(let t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,o=!1,n={},s={}){this.disposeIntermediateTensors(),o||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=P().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(m){this.keepIntermediateTensors=!1,console.warn(m.message)}let a=new Pl(this.weightMap,n,s,this.functionExecutorMap,this.parseNodeNameCache);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));let i=await this.executeWithControlFlow(e,a,t,o),p=t.map(m=>Bt(m,i,a)),u=p.map(m=>m.id),c=Object.keys(e).map(m=>e[m].id),l=new Set([...u,...c,...this.weightIds]);return Object.values(i).forEach(m=>{m.forEach(d=>{d&&!d.isDisposed&&!l.has(d.id)&&d.dispose()})}),this.parent==null&&a.dispose(l),p}async executeFunctionAsync(e,t,o){let n=e.reduce((s,a,i)=>(s[this.inputs[i].name]=a,s),{});return this._executeAsync(n,this.outputNodes,!0,t,o)}async executeWithControlFlow(e,t,o,n){let s=Object.keys(e),a=s.map(S=>this.graph.nodes[Nr(S)[0]]),i=o.map(S=>Nr(S)[0]),p=new Set(i),u=i.map(S=>this.graph.nodes[S]);u.length===0&&(u=this._outputs);let{usedNodes:c,missingInputs:l,dynamicNode:m,syncInputs:d}=CS(e,u,this.weightMap,this._initNodes),f=[...a,...this.graph.weights,...this._initNodes||[]].map(S=>({node:S,contexts:t.currentContext})),h=Object.assign({},this.weightMap);Object.keys(e).forEach(S=>{let[k,_]=Nr(S),E=[];E[_]=e[S],h[k]=E});let g={},x=this.getFrozenTensorIds(h),b={};for(;f.length>0;){let S=this.processStack(a,f,t,h,b,x,p,g,c);await Promise.all(S)}m==null&&!n&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let w=u.filter(S=>!cu(S)&&!Bt(S.name,h,t)).map(S=>S.name);if(w.length>0){let S="";throw m!=null&&(S=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${d}]`),new Error(`Cannot compute the outputs [${w}] from the provided inputs [${s}]. Consider providing the following inputs: [${l}]. ${S}`)}return h}processStack(e,t,o,n,s,a,i,p,u){let c=[];for(;t.length>0;){let l=t.pop();o.currentContext=l.contexts;let m="";if(l.node.op==="Enter"&&I("isConstant",l.node,n,o)&&([m]=Ds(l.node.name,o)),n[l.node.name]==null){let d=bS(l.node,n,o,this._resourceManager);m||([m]=Ds(l.node.name,o));let f=o.currentContext;y.isPromise(d)?c.push(d.then(h=>(n[m]=h,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(h)),o.currentContext=f,this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u),h))):(n[m]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[m]=this.cloneTensorList(d)),this.checkTensorForDisposal(m,l.node,n,o,a,i,p),this.processChildNodes(l.node,t,o,n,s,u))}else this.processChildNodes(l.node,t,o,n,s,u)}return c}processChildNodes(e,t,o,n,s,a){e.children.forEach(i=>{let[p]=Ds(i.name,o);s[p]||!a.has(i.name)||(i.op==="Merge"?i.inputNames.some(u=>!!Bt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})):i.inputNames.every(u=>!!Bt(u,n,o))&&(s[p]=!0,t.push({contexts:o.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let o=e[t],[n]=Nr(t),s=this.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===o.shape.length&&o.shape.every((p,u)=>a[u]===-1||a[u]===p);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${o.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(o.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${o.dtype}`)})}mapInputs(e){var t,o;let n={};for(let s in e){let a=(o=(t=this._signature)===null||t===void 0?void 0:t.inputs)===null||o===void 0?void 0:o[s];a!=null?n[a.name]=e[s]:n[s]=e[s]}return n}checkInputs(e){let t=Object.keys(e).filter(o=>{let[n]=Nr(o);return this.graph.nodes[n]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>{var o,n;let s=(n=(o=this._signature)===null||o===void 0?void 0:o.outputs)===null||n===void 0?void 0:n[t];return s!=null?s.name:t},{})}checkOutputs(e){e.forEach(t=>{let[o]=Nr(t);if(!this.graph.nodes[o])throw new Error(`The output '${t}' is not found in the graph`)})}};var Sf=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}};var z5="?tfjs-format=file",V5="model.json",Ol=class{get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}constructor(e,t={},o=pi){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=o,t==null&&(this.loadOptions={}),this.resourceManager=new Sf}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{let t=this.io.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=this.handler.load();return y.isPromise(e)?e.then(t=>this.loadSync(t)):this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,o=this.artifacts.signature;if(this.artifacts.userDefinedMetadata!=null){let s=this.artifacts.userDefinedMetadata;s.signature!=null&&(o=s.signature),s.structuredOutputKeys!=null&&(this.structuredOutputKeys=s.structuredOutputKeys)}this.signature=o,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let n=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new op(Fl.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let s=Fl.Instance.transformGraph(e.modelInitializer);this.initializer=new op(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}async save(e,t){if(typeof e=="string"){let o=this.io.getSaveHandlers(e);if(o.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(o.length>1)throw new Error(`Found more than one (${o.length}) save handlers for URL '${e}'`);e=o[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}addStructuredOutputNames(e){if(this.structuredOutputKeys){let t=e instanceof pt?[e]:e,o={};return t.forEach((n,s)=>o[this.structuredOutputKeys[s]]=n),o}return e}predict(e,t){let o=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(o)}async predictAsync(e,t){let o=await this.executeAsync(e,this.outputNodes);return this.addStructuredOutputNames(o)}normalizeInputs(e){var t;if(!(e instanceof pt)&&!Array.isArray(e)){let s=(t=this.signature)===null||t===void 0?void 0:t.inputs;if(s!=null)for(let a in s){let i=s[a];i.resourceId!=null&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];let o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error(`Input tensor count mismatch, the graph model has ${this.inputNodes.length-o} non-resource placeholders, while there are ${e.length} input tensors provided.`);let n=0;return this.inputNodes.reduce((s,a)=>{var i,p,u;let c=(u=(p=(i=this.signature)===null||i===void 0?void 0:i.inputs)===null||p===void 0?void 0:p[a])===null||u===void 0?void 0:u.resourceId;return c!=null?s[a]=this.resourceIdToCapturedInput[c]:s[a]=e[n++],s},{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}executeInitializerGraph(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}async executeInitializerGraphAsync(){return this.initializer==null?[]:this.initializerSignature==null?this.initializer.executeAsync({},[]):this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs))}setResourceIdToCapturedInput(e){if(this.resourceIdToCapturedInput={},this.initializerSignature){let t=this.initializerSignature.outputs,o=Object.keys(t);for(let n=0;n1?o:o[0]}async executeAsync(e,t){this.resourceIdToCapturedInput==null&&this.setResourceIdToCapturedInput(await this.executeInitializerGraphAsync()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let o=await this.executor.executeAsync(e,t);return o.length>1?o:o[0]}getIntermediateTensors(){return this.executor.getIntermediateTensors()}disposeIntermediateTensors(){this.executor.disposeIntermediateTensors()}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,o)=>(t[o]=[e[o]],t),{})}dispose(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&Ot(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}};async function W5(r,e={},t=pi){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");e==null&&(e={}),e.fromTFHub&&typeof r=="string"&&(r=G5(r));let o=new Ol(r,e,t);return await o.load(),o}function U5(r){if(r==null)throw new Error("modelUrl in loadGraphModelSync() cannot be null. Please provide model artifacts or an IOHandler that loads the model");let e;if(r instanceof Array){let[o,n]=r;if(!o)throw new Error("modelJSON must be the first element of the array");if(!n||!(n instanceof ArrayBuffer))throw new Error("An ArrayBuffer of weights must be the second element of the array");if(!("modelTopology"in o))throw new Error("Model JSON is missing 'modelTopology'");if(!("weightsManifest"in o))throw new Error("Model JSON is missing 'weightsManifest'");let s=pi.getWeightSpecs(o.weightsManifest),a=pi.getModelArtifactsForJSONSync(o,s,n);e=pi.fromMemorySync(a)}else if("load"in r)e=r;else if("modelTopology"in r&&"weightSpecs"in r&&"weightData"in r)e=pi.fromMemorySync(r);else throw new Error("Unknown model format");let t=new Ol(e);return t.load(),t}function G5(r){return r.endsWith("/")||(r=r+"/"),`${r}${V5}${z5}`}var H5="4.5.0";function Y(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the CPU backend.`)})}var K5=Wt.whereImpl,lu=class extends ro{nextDataId(){return lu.nextDataId++}constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new Lo(this,ur())}write(e,t,o){this.firstUse&&(this.firstUse=!1,P().get("IS_NODE")&&C.warn(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. -============================`));let n={id:this.nextDataId()};return this.data.set(n,{values:e,dtype:o,refCount:1}),n}makeTensorInfo(e,t,o){let n;if(t==="string"&&o!=null&&o.length>0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,o,n,s){this.data.set(e,{values:t,dtype:n,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:o}=this.data.get(e);if(t==="complex64"){let n=this.readSync(o.real.dataId),s=this.readSync(o.imag.dataId);return S.mergeRealAndImagArrays(n,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let o=t.map(n=>y.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return le(e.shape,e.dtype,t)}makeOutput(e,t,o){return sr().makeTensorFromTensorInfo(this.makeTensorInfo(t,o,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:o}=this.data.get(e);o!=null&&(this.disposeData(o.real.dataId,!0),this.disposeData(o.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){j([e],"where");let t=this.readSync(e.dataId);return O6(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Pi.nextDataId=0;var Zp={};Ge(Zp,{addImpl:()=>uS,bincountImpl:()=>jp,bincountReduceImpl:()=>uf,castImpl:()=>iS,ceilImpl:()=>pS,concatImpl:()=>Nu,equalImpl:()=>cS,expImpl:()=>mS,expm1Impl:()=>fS,floorImpl:()=>hS,gatherNdImpl:()=>pf,gatherV2Impl:()=>cf,greaterEqualImpl:()=>xS,greaterImpl:()=>gS,lessEqualImpl:()=>bS,lessImpl:()=>yS,linSpaceImpl:()=>lf,logImpl:()=>CS,maxImpl:()=>mf,maximumImpl:()=>SS,minimumImpl:()=>wS,multiplyImpl:()=>hl,negImpl:()=>IS,notEqualImpl:()=>vS,prodImpl:()=>kS,raggedGatherImpl:()=>df,raggedRangeImpl:()=>ff,raggedTensorToTensorImpl:()=>hf,rangeImpl:()=>_u,rsqrtImpl:()=>NS,scatterImpl:()=>Va,sigmoidImpl:()=>OT,simpleAbsImpl:()=>aS,sliceImpl:()=>$u,sparseFillEmptyRowsImpl:()=>gf,sparseReshapeImpl:()=>xf,sparseSegmentReductionImpl:()=>Qp,sqrtImpl:()=>LT,squaredDifferenceImpl:()=>_S,stridedSliceImpl:()=>yf,stringNGramsImpl:()=>Eu,stringSplitImpl:()=>Au,stringToHashBucketFastImpl:()=>Ru,subImpl:()=>ES,tileImpl:()=>bf,topKImpl:()=>Cf,transposeImpl:()=>Xp,uniqueImpl:()=>Sf});function aS(r){let e=new Float32Array(r.length);for(let t=0;t{let{x:e}=r.inputs,t=r.backend;j(e,"abs");let o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId).values;return o=aS(n),t.makeOutput(o,e.shape,e.dtype)},iT={kernelName:ys,backendName:"cpu",kernelFunc:P6};function Be(r){return(e,t,o,n,s)=>{let a=S.assertAndGetBroadcastShape(e,t),i=a.length,p=y.computeStrides(a),u=y.sizeFromShape(a),c=y.getTypedArrayFromDType(s,u),l=e.length,m=t.length,d=y.computeStrides(e),f=y.computeStrides(t),h=S.getBroadcastDims(e,a),g=S.getBroadcastDims(t,a);if(h.length+g.length===0)for(let x=0;xC[E]=0);let w=y.locToIndex(C,l,d),k=b.slice(-m);g.forEach(E=>k[E]=0);let _=y.locToIndex(k,m,f);c[x]=r(o[w],n[_])}return[c,a]}}function Ht(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=t.makeTensorInfo(o.shape,"complex64"),p=t.data.get(i.dataId);return p.complexTensorInfos={real:t.makeTensorInfo(o.shape,"float32",s),imag:t.makeTensorInfo(n.shape,"float32",a)},i}var uT={kernelName:ri,backendName:"cpu",kernelFunc:Ht};function Kp(r,e,t="float32"){if(t==="complex64"){let n=Kp(r,e,"float32"),s=Kp(r,e,"float32");return Ht({inputs:{real:n,imag:s},backend:r})}let o=y.makeZerosTypedArray(y.sizeFromShape(e),t);return r.makeTensorInfo(e,t,o)}function ir(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var pT={kernelName:mo,backendName:"cpu",kernelFunc:ir};function Io(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.data.get(o.dataId).complexTensorInfos.real,s=t.data.get(n.dataId).values;return t.makeTensorInfo(n.shape,n.dtype,s)}var cT={kernelName:di,backendName:"cpu",kernelFunc:Io};function iS(r,e,t,o){if(o==="int32"){let n=Int32Array.from(r);return[e,"int32",n]}if(o==="bool"){let n=y.toTypedArray([0],t),[s,a]=Be((i,p)=>i!==p?1:0)(e,[],r,n,"bool");return[a,"bool",s]}throw new Error(`Error in Cast: failed to cast ${t} to ${o}`)}function vo(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return ir({inputs:{x:n},backend:t});let c=Kp(t,n.shape,n.dtype),l=vo({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),m=Ht({inputs:{real:l,imag:c},backend:t});return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),m}if(n.dtype==="complex64"){let c=Io({inputs:{input:n},backend:t}),l=vo({inputs:{x:c},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(c),l}if(!y.hasEncodingLoss(n.dtype,s)){let c=ir({inputs:{x:n},backend:t});return{dataId:c.dataId,shape:c.shape,dtype:s}}let a=t.data.get(n.dataId).values,[i,p,u]=iS(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}var lT={kernelName:co,backendName:"cpu",kernelFunc:vo};function Qe(r,e,t,o){return t==null?({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;j([a,i],r);let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=a.dtype==="string"?S.fromUint8ToStringArray(u):u,m=a.dtype==="string"?S.fromUint8ToStringArray(c):c,d=o||a.dtype,[f,h]=e(a.shape,i.shape,l,m,d);return p.makeTensorInfo(h,d,f)}:({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(a.dtype==="complex64"||i.dtype==="complex64"){let u=vo({inputs:{x:a},backend:p,attrs:{dtype:"complex64"}}),c=p.data.get(u.dataId),l=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,d=p.data.get(l.dataId).values,f=p.data.get(m.dataId).values,h=vo({inputs:{x:i},backend:p,attrs:{dtype:"complex64"}}),g=p.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,C=p.data.get(x.dataId).values,w=p.data.get(b.dataId).values,[k,_,E]=t(a.shape,i.shape,d,f,C,w),A=p.makeTensorInfo(E,"float32",k),R=p.makeTensorInfo(E,"float32",_),D=Ht({inputs:{real:A,imag:R},backend:p});return p.disposeIntermediateTensorInfo(u),p.disposeIntermediateTensorInfo(h),p.disposeIntermediateTensorInfo(A),p.disposeIntermediateTensorInfo(R),D}else{let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=o||a.dtype,[m,d]=e(a.shape,i.shape,u,c,l);return p.makeTensorInfo(d,l,m)}}}function qp(r){return(e,t,o,n,s,a)=>{let i=S.assertAndGetBroadcastShape(e,t),p=y.sizeFromShape(i),u=i.length,c=y.computeStrides(i),l=y.getTypedArrayFromDType("float32",p),m=y.getTypedArrayFromDType("float32",p),d=S.getBroadcastDims(e,i),f=S.getBroadcastDims(t,i),h=S.mergeRealAndImagArrays(o,n),g=S.mergeRealAndImagArrays(s,a),x=e.length,b=y.computeStrides(e),C=t.length,w=y.computeStrides(t);if(d.length+f.length===0)for(let k=0;kE[M]=0);let A=y.locToIndex(E,x,b),R=_.slice(-C);f.forEach(M=>R[M]=0);let D=y.locToIndex(R,C,w),P=r(h[A*2],h[A*2+1],g[D*2],g[D*2+1]);l[k]=P.real,m[k]=P.imag}return[l,m,i]}}var uS=Be((r,e)=>r+e),M6=qp((r,e,t,o)=>({real:r+t,imag:e+o})),Xs=Qe(eo,uS,M6),mT={kernelName:eo,backendName:"cpu",kernelFunc:Xs};function jp(r,e,t,o,n){let s=y.sizeFromShape(o),a=y.makeZerosTypedArray(n,t);for(let i=0;i=n||(s>0?a[p]+=e[i]:a[p]+=1)}return a}function uf(r,e,t,o=!1){let n=r.shape[0],s=r.shape[1],a=le([n,t],e.dtype);for(let i=0;i=t||(o?a.set(1,i,u):e.size>0?a.set(a.get(i,u)+e.get(i,p),i,u):a.set(a.get(i,u)+1,i,u))}return a}function vr(r){return(e,t,o)=>{let n=y.getTypedArrayFromDType(t,e.length);for(let s=0;s{let{x:a}=o;if(j(a,r),a.dtype==="string"||t==="string")throw new Error("unaryKernelFunc does not support string input/output");let i=s,p=i.data.get(a.dataId).values,u=y.sizeFromShape(a.shape),c=t||a.dtype,l=y.getArrayFromDType(c,u);for(let m=0;m{let{x:a}=o;if(j(a,r),a.dtype==="string"||t==="string")throw new Error("unaryKernelFunc does not support string input/output");let i=s,p=i.data.get(a.dataId).values,u=t||a.dtype,c=e(p,u,n);return i.makeTensorInfo(a.shape,u,c)}}var pS=vr(r=>Math.ceil(r)),L6=ko(Wo,pS),dT={kernelName:Wo,backendName:"cpu",kernelFunc:L6};function Nu(r,e,t,o){let n=y.getArrayFromDType(t,y.sizeFromShape(e));if(o&&t!=="string"){let s=0;r.forEach(a=>{let i=y.sizeFromShape(a.shape);n.set(a.vals,s),s+=i})}else{let s=0;r.forEach(a=>{let i=t==="string"?S.fromUint8ToStringArray(a.vals):a.vals,p=0;for(let u=0;ur===e?1:0),lS=Qe(en,cS,null,"bool"),fT={kernelName:en,backendName:"cpu",kernelFunc:lS};var mS=vr(r=>Math.exp(r)),dS=ko(tn,mS,"float32"),hT={kernelName:tn,backendName:"cpu",kernelFunc:dS};var fS=vr(r=>Math.expm1(r)),B6=ko(fa,fS),gT={kernelName:fa,backendName:"cpu",kernelFunc:B6};var hS=vr(r=>Math.floor(r)),V6=ko(on,hS),xT={kernelName:on,backendName:"cpu",kernelFunc:V6};function pf(r,e,t,o,n,s,a,i,p){let u=le([o,s],t);for(let c=0;c=p/s)throw new Error(`Invalid indices: ${l} does not index into ${i}`);for(let d=0;dr>e?1:0),z6=Qe(un,gS,null,"bool"),yT={kernelName:un,backendName:"cpu",kernelFunc:z6};var xS=Be((r,e)=>r>=e?1:0),W6=Qe(pn,xS,null,"bool"),bT={kernelName:pn,backendName:"cpu",kernelFunc:W6};var yS=Be((r,e)=>rr<=e?1:0),G6=Qe(dn,bS,null,"bool"),ST={kernelName:dn,backendName:"cpu",kernelFunc:G6};function lf(r,e,t){let o=(e-r)/(t-1),n=y.makeZerosTypedArray(t,"float32");n[0]=r;for(let s=1;sMath.log(r)),H6=ko(fn,CS),wT={kernelName:fn,backendName:"cpu",kernelFunc:H6};function mf(r,e,t,o){let n=y.getTypedArrayFromDType(o,y.sizeFromShape(t));for(let s=0;si)&&(i=u)}n[s]=i}return n}var SS=Be((r,e)=>Math.max(r,e)),K6=Qe(bn,SS),IT={kernelName:bn,backendName:"cpu",kernelFunc:K6};var wS=Be((r,e)=>Math.min(r,e)),q6=Qe(In,wS),vT={kernelName:In,backendName:"cpu",kernelFunc:q6};var hl=Be((r,e)=>r*e),j6=qp((r,e,t,o)=>({real:r*t-e*o,imag:r*o+e*t})),Tu=Qe(kn,hl,j6),kT={kernelName:kn,backendName:"cpu",kernelFunc:Tu};function IS(r,e,t){let o=y.createScalarValue(-1,t);return hl([],e,o,r,t)}function X6(r){let{inputs:e,backend:t}=r,{x:o}=e;j(o,"neg");let n=t.data.get(o.dataId).values,[s,a]=IS(n,o.shape,o.dtype);return t.makeTensorInfo(a,o.dtype,s)}var NT={kernelName:vs,backendName:"cpu",kernelFunc:X6};var vS=Be((r,e)=>r!==e?1:0),Y6=Qe(Nn,vS,null,"bool"),TT={kernelName:Nn,backendName:"cpu",kernelFunc:Y6};function Xp(r,e,t,o,n){let s=e.length,a=y.sizeFromShape(e),i=y.computeStrides(e),p=y.computeStrides(n),u=y.getTypedArrayFromDType(t,y.sizeFromShape(n));for(let c=0;ct.disposeIntermediateTensorInfo(b)),t.makeTensorInfo(x,g,f)}var $T={kernelName:Dn,backendName:"cpu",kernelFunc:Q6};function Z6(r,e,t){r.forEach((o,n)=>{if(o<0||o>=t){let s=y.indexToLoc(n,e.length,y.computeStrides(e)).join(",");throw new Error(`indices[${s}] = ${o} is not in [0, ${t})`)}})}function J6(r,e){for(let t=0;tn)throw new Error("Ragged splits must not point past values");for(let s=1;so[s])throw new Error("Ragged splits must be sorted in ascending order")}}function ej(r,e,t,o){let n=[],s=0,a=e.length-1+t.length,i=new Array(a).fill(null).map(()=>[0]);J6(t,o);let p=1;for(let u=0;u=0){let h=i[f],g=h[h.length-1]-d[c];for(let x=c;xn[a]=s)}return e}function ET(r,e){let t=r.slice(0,e);for(;t.length1)throw new Error("starts must be a scalar or vector");if(n.length>1)throw new Error("limits must be a scalar or vector");if(a.length>1)throw new Error("deltas must be a scalar or vector");let i=e.length===0,p=n.length===0,u=a.length===0,c=[];i||c.push(e[0]),p||c.push(n[0]),u||c.push(a[0]);for(let g=1;g0&&bx)w=0;else if(w=Math.ceil(Math.abs((b-x)/C)),w>AT)throw new Error(`Requires ((limit - start) / delta) <= ${AT}`);m[g+1]=m[g]+w}let d=m[l],f=y.getArrayFromDType(t,d),h=0;for(let g=0;go&&(o=s)}return o}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let o=0,n=e[0],s=0;for(let a=1;a"Final length of result must be equal to firstDimension."),s}calculateOutputIndexRowSplit(e,t,o,n){let s=e.length,a=[];for(let i=0;i0&&a.length!==e[s-1])throw new Error("Invalid row split size.");return a}calculateOutputIndexValueRowID(e,t,o,n){let s=e.length,a=[];if(s===0)return[];let i=0,p=e[0];if(p>=t.length)throw new Error(`Got currentValueRowId=${p}, which is not less than ${t.length}`);let u=t[p];a.push(u);for(let c=1;c=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${l} which is not less than ${t.length}`);u=t[l]}a.push(u)}if(a.length!==e.length)throw new Error("Invalid row ids.");return a}calculateOutputIndex(e,t,o,n){let s=this.getRowPartitionTensor(e),a=this.getRowPartitionTypeByDimension(e);switch(a){case No.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,t,o,n);case No.ROW_SPLITS:if(s.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(s,t,o,n);default:throw new Error(`Unsupported partition type: ${No[a]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case No.FIRST_DIM_SIZE:return e[0];case No.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case No.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${No[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let t=this.getFirstDimensionSize(),o=this.calculateOutputSize(t),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let p=n.length-2;p>=0;--p)n[p]=n[p+1]*o[p+1];let s=DT(o,!1),a=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(n[0]*o[0]>0){let p=this.calculateFirstParentOutputIndex(t,n[0],o[0]);for(let u=1;u<=this.raggedRank;++u)p=this.calculateOutputIndex(u-1,p,n[u],o[u]);this.setOutput(this.raggedRank,p,a,s)}return[s,a]}setOutput(e,t,o,n){if(o.length===0)return;let s=this.values,a=o,i=n.slice();i=i.slice(e+1);let p=y.sizeFromShape(i),u=t.length,c=this.defaultValue;if(c.length!==p&&c.length!==1){let f=this.defaultValueShape;Ee(()=>{let h=W(c,f);c=$i(h,i).dataSync()})}let l=0,m=0,d=0;for(let f=0;f<=u;++f){let h=f=u){let g=o.length;h=Math.floor(g/p)}if(h>d)if(this.defaultValue.length===1)a.subarray(d*p,h*p).fill(this.defaultValue[0]),d=h;else for(;h>d;){let g=a.slice(d*p);RT(g,c,p),++d}h<0?(l=f+1,m=d):(l=f,m=d,d=m+1)}}};function RT(r,e,t){for(let o=0;o= 0`);if(o<-1)throw new Error(`Dimension ${o} must be >= -1`);o=-1}t.push(o)}return t}function hf(r,e,t,o,n,s,a,i,p,u){return new Yp(r,e,t,o,n,s,a,i,p,u).compute()}function _u(r,e,t,o){let n=r===e,s=r1;if(n||s||a)return y.makeZerosTypedArray(0,o);let i=Math.abs(Math.ceil((e-r)/t)),p=y.makeZerosTypedArray(i,o);e1/Math.sqrt(r)),nj=ko(zn,NS),FT={kernelName:zn,backendName:"cpu",kernelFunc:nj};function Va(r,e,t,o,n,s,a,i,p,u){let c=[o/n,n],l=r.values,m=e.values;if(o===0)return le(t,e.dtype);let d=le(c,e.dtype);typeof p=="string"||typeof p=="number"?d.values.fill(p):typeof p=="boolean"&&d.values.fill(+p);for(let f=0;f=o/n)throw new Error(`Invalid indices: ${h} does not index into ${t}`);for(let x=0;x1/(1+Math.exp(-r))),TS=we(Gn,r=>1/(1+Math.exp(-r))),PT={kernelName:Gn,backendName:"cpu",kernelFunc:TS};function $u(r,e,t,o,n){let s=ut.isSliceContinous(o,e,t),a=y.sizeFromShape(t),i=y.computeStrides(o);if(s){let l=ut.computeFlatOffset(e,i);return n==="string"?r.slice(l,l+a):r.subarray(l,l+a)}let p=n==="string"?S.fromUint8ToStringArray(r):r,u=le(o,n,p),c=le(t,n);for(let l=0;lf+e[h]);c.set(u.get(...d),...m)}return n==="string"?S.fromStringArrayToUint8(c.values):c.values}function To(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o;j(n,"slice");let[i,p]=ut.parseSliceParams(n,s,a);ut.assertParamsValid(n,i,p);let u=t.data.get(n.dataId).values,c=$u(u,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,c)}var MT={kernelName:Es,backendName:"cpu",kernelFunc:To};function gf(r,e,t,o,n,s,a){let i=e[0],p=s[0],u=new Array(p),c=new Array(i),l=e[1];if(p===0){if(i!==0)throw new Error(S.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i));let g=y.getArrayFromDType(t,0),x=y.getArrayFromDType(n,0);return[g,[0,l],x,u,c]}let m=!0,d=0,f=new Array(p).fill(0);for(let g=0;g=p)throw new Error(S.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,p));++f[x],m=m&&x>=d,d=x}let h=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(h&&m){let g=r,x=o;for(let b=0;b0){d[m-1]=1;for(let g=m-2;g>=0;--g)d[g]=d[g+1]*o[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*p[g+1]}let h=y.getArrayFromDType(t,a*i);for(let g=0;g0?n[i-1]+1:0;if(l<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=e.slice();m[0]=l;let d=m.reduce((C,w)=>C*w,1),f=y.getArrayFromDType(t,d);if(i===0)return l>0&&f.fill(a),[f,m];if(l<=0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=n[h];for(;;){let C=0;if(g=C)throw new Error(S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=l)throw new Error(S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,l));b>x&&f.fill(a,x*u,b*u);for(let w=h;w=p[0])throw new Error(S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w,o[w],p[0]));for(let _=0;_i)break}return xMath.sqrt(r)),sj=we(Hn,r=>Math.sqrt(r)),BT={kernelName:Hn,backendName:"cpu",kernelFunc:sj};var _S=Be((r,e)=>{let t=r-e;return t*t}),aj=Qe(jn,_S),VT={kernelName:jn,backendName:"cpu",kernelFunc:aj};function yf(r,e,t,o){let n=le(r,e.dtype);for(let s=0;s0?0:i-p),d=0;d+=u*this.leftPad.length;for(let b=0;bb.forEach(C=>h[g++]=C);for(let b=0;b0){x(e[m+l-1]);for(let b=0;b0){let p=t[0];if(p!==0)throw new Error(`First split value must be 0, got ${p}`);for(let u=1;u=p;if(c=c&&t[u]<=o,!c)throw new Error(`Invalid split value ${t[u]}, must be in [${p}, ${o}]`);p=t[u]}if(p!==o)throw new Error(`Last split value must be data size. Expected ${o}, got ${p}`)}let s=n-1,a=y.getArrayFromDType("int32",n);if(o===0||n===0){let p=new Array(o);for(let u=0;u<=s;++u)a[u]=0;return[p,a]}a[0]=0;for(let p=1;p<=s;++p){let u=t[p]-t[p-1],c=0;this.nGramWidths.forEach(l=>{c+=this.getNumNGrams(u,l)}),this.preserveShort&&u>0&&c===0&&(c=1),a[p]=a[p-1]+c}let i=new Array(a[s]);for(let p=0;p{let m=t[p+1]-t[p],d=this.getNumNGrams(m,l);this.createNGrams(e,u,i,c,d,l),c+=d}),this.preserveShort&&c===a[p]){let l=t[p+1]-t[p];if(l===0)continue;let m=l+2*this.padWidth,d=1;this.createNGrams(e,u,i,c,d,m)}}return[i,a]}};function Eu(r,e,t,o,n,s,a,i){return new $S(t,o,n,s,a,i).compute(r,e)}function ij(r,e,t,o){if(!r.length)return;if(e.length===0){for(let s=0;sr-e),uj=qp((r,e,t,o)=>({real:r-t,imag:e-o})),gl=Qe(Yn,ES,uj),zT={kernelName:Yn,backendName:"cpu",kernelFunc:gl};function bf(r,e){let t=new Array(r.rank);for(let n=0;n{let t=e.value-r.value;return t===0?r.index-e.index:t};function WT(r,e,t=0,o=r.length-1){for(;o>t;){if(o-t>600){let i=o-t+1,p=e-t+1,u=Math.log(i),c=.5*Math.exp(2*u/3),l=.5*Math.sqrt(u*c*(i-c)/i)*Math.sign(p-i/2),m=Math.max(t,Math.floor(e-p*c/i+l)),d=Math.min(o,Math.floor(e+(i-p)*c/i+l));WT(r,e,m,d)}let n=r[e],s=t,a=o;for(y.swap(r,t,e),xl(r[o],n)>0&&y.swap(r,t,o);s0;)a=a-1}xl(r[t],n)===0?y.swap(r,t,a):(a=a+1,y.swap(r,a,o)),a<=e&&(t=a+1),e<=a&&(o=a-1)}}function Cf(r,e,t,o,n){let s=e[e.length-1],[a,i]=[r.length/s,s],p=y.getTypedArrayFromDType(t,a*o),u=y.getTypedArrayFromDType("int32",a*o);for(let l=0;lf[C]={value:b,index:C}),o{for(let g=0;gnew Pi,1);var AS=we(Jo,r=>r>=0?r:Math.exp(r)-1),UT={kernelName:Jo,backendName:"cpu",kernelFunc:AS};function RS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o;j([n],"leakyRelu");let a=y.sizeFromShape(n.shape),i=t.data.get(n.dataId).values,p=y.getTypedArrayFromDType("float32",a);for(let u=0;ur<0?e*r:r);function DS(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e;j([o,n],"prelu");let s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,[i,p]=cj(o.shape,n.shape,s,a,"float32");return t.makeTensorInfo(p,"float32",i)}var HT={kernelName:Rn,backendName:"cpu",kernelFunc:DS};var FS=we(On,r=>Math.max(0,r)),KT={kernelName:On,backendName:"cpu",kernelFunc:FS};var OS=we(Ln,r=>Math.min(Math.max(0,r),6)),qT={kernelName:Ln,backendName:"cpu",kernelFunc:OS};function Du(r,e,t,o,n){if(t==="linear")return ir({inputs:{x:e},backend:r});if(t==="relu")return FS({inputs:{x:e},backend:r});if(t==="elu")return AS({inputs:{x:e},backend:r});if(t==="relu6")return OS({inputs:{x:e},backend:r});if(t==="prelu")return DS({inputs:{x:e,alpha:o},backend:r});if(t==="leakyrelu")return RS({inputs:{x:e},backend:r,attrs:{alpha:n}});if(t==="sigmoid")return TS({inputs:{x:e},backend:r});throw new Error(`Activation ${t} has not been implemented for the CPU backend.`)}function Le(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{shape:s}=o,a=y.sizeFromShape(n.shape),i=y.inferFromImplicitShape(s,a),p=y.sizeFromShape(i);y.assert(a===p,()=>`The new shape (${i}) has ${p} elements and the old shape (${n.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`),t.incRef(n.dataId);let u=t.data.get(n.dataId);if(u.complexTensorInfos!=null){let c=u.complexTensorInfos.real,l=u.complexTensorInfos.imag;c.shape=i,l.shape=i}return{dataId:n.dataId,shape:i,dtype:n.dtype}}var jT={kernelName:_s,backendName:"cpu",kernelFunc:Le};function PS(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;j([n,s],"matMul");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let w=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Le({inputs:{x:n},backend:t,attrs:{shape:w}}),E=Le({inputs:{x:s},backend:t,attrs:{shape:k}}),A=a?_.shape[1]:_.shape[2],R=a?_.shape[2]:_.shape[1],D=i?E.shape[1]:E.shape[2],P=Math.max(g,x),M=t.data.get(_.dataId).values,L=t.data.get(E.dataId).values,V=y.computeStrides(_.shape),z=y.computeStrides(E.shape),[U,K,H]=a?[V[0],1,V[1]]:[V[0],V[1],1],[q,Z,ee]=i?[1,z[1],z[0]]:[z[1],1,z[0]],oe=R*D,J=le([P,R,D],_.dtype),te=J.values,ie=t.blockSize;for(let ce=0;ceMath.acos(r)),QT={kernelName:aa,backendName:"cpu",kernelFunc:mj};var dj=we(ia,r=>Math.acosh(r)),ZT={kernelName:ia,backendName:"cpu",kernelFunc:dj};function fj(r){let{inputs:e,backend:t}=r,o=e;j(e,"addN");let n=o.map(i=>t.data.get(i.dataId).values),s=le(o[0].shape,o[0].dtype),a=s.values;for(let i=0;ib&&(b=k,C=w)}d[g]=C}return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,"int32",d)}var r2={kernelName:Bo,backendName:"cpu",kernelFunc:xj};function yj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o;j(n,"argMin");let a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=St({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),a=[a[0]],S.assertAxesAreInnerMostDims("argMin",a,p.shape.length);let[c,l]=S.computeOutAndReduceShapes(p.shape,a),m=y.sizeFromShape(c),d=y.makeZerosTypedArray(m,"int32"),f=y.sizeFromShape(l),h=t.data.get(p.dataId).values;for(let g=0;gt.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,"int32",d)}var o2={kernelName:ei,backendName:"cpu",kernelFunc:yj};var bj=we(ua,r=>Math.asin(r)),n2={kernelName:ua,backendName:"cpu",kernelFunc:bj};var Cj=we(pa,r=>Math.asinh(r)),s2={kernelName:pa,backendName:"cpu",kernelFunc:Cj};var Sj=we(ca,r=>Math.atan(r)),a2={kernelName:ca,backendName:"cpu",kernelFunc:Sj};var wj=Be((r,e)=>Math.atan2(r,e)),Ij=Qe(ma,wj),i2={kernelName:ma,backendName:"cpu",kernelFunc:Ij};var vj=we(la,r=>Math.atanh(r)),u2={kernelName:la,backendName:"cpu",kernelFunc:vj};function Jp(r,e,t,o,n,s){let a=n.strideHeight,i=n.strideWidth,p=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,m=n.padInfo.top,d=n.padInfo.left,f=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=le(n.outShape,t),g=h.values,x=n.outShape[1]*n.outShape[2]*n.outShape[3],b=n.outShape[2]*n.outShape[3],C=n.outShape[3];for(let w=0;wK?K=ie:s==="avg"&&(H+=ie,q++)}if(isNaN(K))break}let Z=M+L*C+E;g[Z]=s==="avg"?H/q:K}}}return h}function wf(r,e,t,o,n=!1,s=!1){let a=le(o.outShape,"int32"),i=o.strideHeight,p=o.strideWidth,u=o.dilationHeight,c=o.dilationWidth,l=o.effectiveFilterHeight,m=o.effectiveFilterWidth,d=o.padInfo.top,f=o.padInfo.left,h=le(e,t,r);for(let g=0;gD&&(D=U,n?P=s?((g*o.inHeight+M)*o.inWidth+V)*o.inChannels+x:(M*o.inWidth+V)*o.inChannels+x:P=L*m+z)}}a.set(P,g,b,_,x)}}return a}function If(r,e,t,o,n,s){let a=n.strideDepth,i=n.strideHeight,p=n.strideWidth,u=n.dilationDepth,c=n.dilationHeight,l=n.dilationWidth,m=n.effectiveFilterDepth,d=n.effectiveFilterHeight,f=n.effectiveFilterWidth,h=n.padInfo.front,g=n.padInfo.top,x=n.padInfo.left,b=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,C=le(n.outShape,t),w=C.values,k=n.outShape[1]*n.outShape[2]*n.outShape[3]*n.outShape[4],_=n.outShape[2]*n.outShape[3]*n.outShape[4],E=n.outShape[3]*n.outShape[4],A=n.outShape[4];for(let R=0;RNe?Ne=ht:s==="avg"&&(Ie+=ht,Ae++),isNaN(Ne))break}if(isNaN(Ne))break}if(isNaN(Ne))break}let Re=ye+M;w[Re]=s==="avg"?Ie/Math.max(Ae,1):Ne}}}}return C}function p2(r,e){let t=le(e.outShape,"int32"),o=e.strideDepth,n=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,p=e.dilationWidth,u=e.effectiveFilterDepth,c=e.effectiveFilterHeight,l=e.effectiveFilterWidth,m=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left;for(let h=0;h=L&&(L=ee,V=U*c*l+H*c+Z)}}}t.set(V,h,x,k,R,g)}}}return t}function kj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;j(n,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(S.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=ir({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Jp(m,n.shape,n.dtype,d,c,"avg");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var c2={kernelName:Vo,backendName:"cpu",kernelFunc:kj};function Nj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;j(n,"avgPool3d");let c=S.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=If(l,n.shape,n.dtype,y.computeStrides(n.shape),c,"avg");return t.makeTensorInfo(m.shape,"float32",m.values)}var l2={kernelName:dp,backendName:"cpu",kernelFunc:Nj};function Tj(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;j([n,s],"avgPool3DGrad");let c=S.computePool3DInfo(s.shape,a,i,1,p,u),l=c.strideDepth,m=c.strideHeight,d=c.strideWidth,f=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,C=c.dilationWidth,w=c.effectiveFilterDepth,k=c.effectiveFilterHeight,_=c.effectiveFilterWidth,E=w-1-c.padInfo.front,A=_-1-c.padInfo.left,R=k-1-c.padInfo.top,D=le(s.shape,"float32"),P=1/(f*h*g),M=t.bufferSync(n);for(let L=0;L=c.outDepth||Math.floor(J)!==J))for(let te=0;te=c.outHeight||Math.floor(ie)!==ie))for(let ce=0;ce<_;ce+=C){let ye=(Z+ce)/d;if(ye<0||ye>=c.outWidth||Math.floor(ye)!==ye)continue;let Ne=M.get(L,J,ie,ye,V);ee+=Ne}}}D.set(ee*P,L,z,U,K,V)}return t.makeTensorInfo(D.shape,D.dtype,D.values)}var m2={kernelName:vm,backendName:"cpu",kernelFunc:Tj};function _j(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;j([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=c.strideHeight,m=c.strideWidth,d=c.filterHeight,f=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,C=b-1-c.padInfo.left,w=x-1-c.padInfo.top,k=le(a.shape,"float32"),_=1/(d*f),E=t.data.get(n.dataId).values,A=le(n.shape,"float32",E);for(let R=0;R=c.outHeight||Math.floor(K)!==K))for(let H=0;H=c.outWidth||Math.floor(q)!==q)continue;let Z=A.get(R,K,q,D);z+=Z}}k.set(z*_,R,P,M,D)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var d2={kernelName:mp,backendName:"cpu",kernelFunc:_j};function $j(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,scale:s,offset:a,mean:i,variance:p}=e;y.assert(i.shape.length===p.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||i.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(s==null||i.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),j([n,i,p,s,a],"batchNorm");let{varianceEpsilon:u}=o;u==null&&(u=.001);let c=t.data.get(n.dataId).values,l=t.data.get(i.dataId).values,m=t.data.get(p.dataId).values,d=s?t.data.get(s.dataId).values:new Float32Array([1]),f=a?t.data.get(a.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=f.length,x=d.length,b=m.length,C=l.length,w=0,k=0,_=0,E=0;for(let A=0;A=g&&(w=0),k>=C&&(k=0),_>=x&&(_=0),E>=b&&(E=0);return t.makeTensorInfo(n.shape,n.dtype,h)}var f2={kernelName:sn,backendName:"cpu",kernelFunc:$j};function Ej(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;j([n],"batchToSpaceND");let i=s.reduce((x,b)=>x*b),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=Le({inputs:{x:n},backend:t,attrs:{shape:p}}),f=St({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Le({inputs:{x:f},backend:t,attrs:{shape:c}}),g=To({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var h2={kernelName:bs,backendName:"cpu",kernelFunc:Ej};function Aj(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,u=jp(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var g2={kernelName:ti,backendName:"cpu",kernelFunc:Aj};function Rj(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=S.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],"int32",Int32Array.from(i))}var x2={kernelName:fp,backendName:"cpu",kernelFunc:Rj};var Dj=we(lo,(r,e)=>{let t=e;return r>t.clipValueMax?t.clipValueMax:r{let{x:e}=r.inputs,t=r.backend,o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId),s=n.complexTensorInfos.real,a=n.complexTensorInfos.imag,i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values;for(let u=0;uh.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(h=>h.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(h=>y.sizeFromShape(h.shape)>0);if(p.length===1)return ir({inputs:{x:p[0]},backend:t});if(p[0].dtype==="complex64"){let h=p.map(w=>Io({inputs:{input:w},backend:t})),g=p.map(w=>Ys({inputs:{input:w},backend:t})),x=Mi({inputs:h,backend:t,attrs:{axis:s}}),b=Mi({inputs:g,backend:t,attrs:{axis:s}}),C=Ht({inputs:{real:x,imag:b},backend:t});return h.forEach(w=>t.disposeIntermediateTensorInfo(w)),g.forEach(w=>t.disposeIntermediateTensorInfo(w)),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(b),C}let u=p.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Le({inputs:{x:h},backend:t,attrs:{shape:x}})}),c=u.map(h=>({vals:t.data.get(h.dataId).values,shape:h.shape}));i=S.computeOutShape(u.map(h=>h.shape),1);let l=u[0].shape[0]===1,m=Nu(c,i,e[0].dtype,l),d=S.computeOutShape(p.map(h=>h.shape),s),f=t.makeTensorInfo(d,e[0].dtype,m);return u.forEach(h=>t.disposeIntermediateTensorInfo(h)),f}var S2={kernelName:Cs,backendName:"cpu",kernelFunc:Mi};function MS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o;j([n,s],"conv2d");let l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d=m.filterHeight,f=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,C=m.dataFormat==="channelsLast",w=new st(m.outShape,n.dtype),k=y.computeStrides(n.shape),_=y.computeStrides(s.shape),E=k[0],A=C?k[1]:k[2],R=C?k[2]:1,D=C?1:k[1],P=w.strides[0],M=C?w.strides[1]:w.strides[2],L=C?w.strides[2]:1,V=C?1:w.strides[1],z=t.data.get(n.dataId).values,U=t.data.get(s.dataId).values,K=w.values;for(let H=0;H=m.inHeight)continue;let ce=te*_[0],ye=q+ie*A;for(let Ne=0;Ne=m.inWidth)continue;let pt=ce+Re*_[1],ze=ye+ot*R,ct=pt;for(let at=0;at=u.inDepth)continue;let H=U*R[0],q=P+K*A[1];for(let Z=0;Z=u.inHeight)continue;let ie=H+J*R[1],ce=q+te*A[2];for(let ye=0;ye=u.inWidth)continue;let ot=ie+Ae*R[2],pt=ce+Re*u.inChannels,ze=ot;for(let ct=0;ctMath.cos(r)),_2={kernelName:Ho,backendName:"cpu",kernelFunc:Vj};var zj=we(Ko,r=>Math.cosh(r)),$2={kernelName:Ko,backendName:"cpu",kernelFunc:zj};function Wj(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,[c,l,m,d]=n.shape,f=s.shape[0],[h,g]=i,x=le([f,h,g,d],"float32"),b=t.data.get(s.dataId).values,C=t.data.get(a.dataId).values,w=t.data.get(n.dataId).values,k=y.computeStrides(n.shape),_=y.computeStrides(x.shape);for(let E=0;E=c)continue;let V=h>1?(P-R)*(l-1)/(h-1):0,z=g>1?(M-D)*(m-1)/(g-1):0;for(let U=0;U1?R*(l-1)+U*V:.5*(R+P)*(l-1);if(K<0||K>l-1){for(let H=0;H1?D*(m-1)+ee*z:.5*(D+M)*(m-1);if(oe<0||oe>m-1){for(let ce=0;ce1?D*(m-1)+H*z:.5*(D+M)*(m-1);if(q<0||q>m-1){for(let oe=0;oex+f-b-1:(x,b)=>x+b;for(let x=0;xx+f-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${a}`);let i=n.shape[0],p=n.shape[1],u=n.shape[2],c=n.shape[3],l=p*s,m=u*s,d=c/(s*s),f=t.data.get(n.dataId).values,h=new Float32Array(i*l*m*d),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`);let d=S.computeConv2DInfo(n.shape,s.shape,a,m,i,u,!0),{filterHeight:f,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=d,C=b.left,w=b.top,k=d.outChannels/d.inChannels,_=new st(d.outShape,n.dtype),E=t.data.get(n.dataId).values,A=t.data.get(s.dataId).values,R=_.values;for(let D=0;D=d.inHeight)continue;let H=U*l[0],q=P+K*c[1];for(let Z=0;Z=d.inWidth)continue;let ie=H+J*l[1],ce=q+te*d.inChannels,ye=ee,Ne=ie;for(let Ie=0;Ie{let{x:o,filter:n}=r,{strides:s,pad:a,dilations:i}=t,p=e,u=p.data.get(o.dataId).values,c=o.shape.length,l=p.data.get(n.dataId).values,m=n.shape.length,{batchSize:d,inHeight:f,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:C,strideHeight:w,strideWidth:k,filterHeight:_,filterWidth:E,dilationHeight:A,dilationWidth:R,outShape:D}=S.computeDilation2DInfo(o.shape,n.shape,s,a,"NHWC",i),P=y.sizeFromShape(D),M=D.length,L=y.getArrayFromDType(o.dtype,P);for(let z=0;z=0&&te=0&&ceee&&(ee=Ie)}}}let oe=y.locToIndex([z,U,H,Z],M,y.computeStrides(D));L[oe]=ee}}}return{dataId:p.write(y.toTypedArray(L,o.dtype),D,o.dtype),shape:D,dtype:o.dtype}}};var V2={kernelName:$b,backendName:"cpu",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:C,strideWidth:w,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:A,outShape:R}=S.computeDilation2DInfo(o.shape,n.shape,a,i,"NHWC",p);y.assert(s.rank===R.length,()=>`Error in ${$b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`);let D=y.toNestedArray(R,u.data.get(s.dataId).values),P=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let L=0;L=0&&J=0&&ieq&&(q=ce,Z=oe,ee=te)}}}P[Z][ee][H]+=D[L][V][U][H]}}}return{dataId:u.write(y.toTypedArray(P,o.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};var z2={kernelName:_b,backendName:"cpu",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:C,strideWidth:w,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:A,outShape:R}=S.computeDilation2DInfo(o.shape,n.shape,a,i,"NHWC",p);y.assert(s.rank===R.length,()=>`Error in ${_b}, dy must have the same rank as output ${R.length}, but got ${s.rank}`);let D=y.toNestedArray(R,u.data.get(s.dataId).values),P=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let L=0;L=0&&J=0&&ieq&&(q=ce,Z=J,ee=ie)}}}P[L][Z][ee][H]+=D[L][V][U][H]}}}return{dataId:u.write(y.toTypedArray(P,o.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};function za(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;j(n,"sum");let i;n.dtype==="bool"?i=vo({inputs:{x:n},backend:t,attrs:{dtype:"int32"}}):i=ir({inputs:{x:n},backend:t});let p=i.shape.length,u=y.parseAxisParam(s,i.shape),c=S.getAxesPermutation(u,p),l=u,m=i;c!=null&&(m=St({inputs:{x:i},backend:t,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,p)),S.assertAxesAreInnerMostDims("sum",l,m.shape.length);let[d,f]=S.computeOutAndReduceShapes(m.shape,l),h=S.upcastType(m.dtype,"int32"),g=Kp(t,d,h),x=y.sizeFromShape(f),b=t.data.get(g.dataId).values,C=t.data.get(m.dataId).values;for(let w=0;w=0&&(m=za({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var U2={kernelName:ii,backendName:"cpu",kernelFunc:Yj};function Qj(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e;j([o,n],"eluGrad");let s=new Float32Array(y.sizeFromShape(n.shape)),a=t.data.get(n.dataId).values,i=t.data.get(o.dataId).values;for(let p=0;p=1?s[p]=i[p]:s[p]=i[p]*(u+1)}return t.makeTensorInfo(n.shape,"float32",s)}var G2={kernelName:Nm,backendName:"cpu",kernelFunc:Qj};var Zj=S.ERF_P,Jj=S.ERF_A1,eX=S.ERF_A2,tX=S.ERF_A3,rX=S.ERF_A4,oX=S.ERF_A5,nX=we(da,r=>{let e=Math.sign(r),t=Math.abs(r),o=1/(1+Zj*t);return e*(1-((((oX*o+rX)*o+tX)*o+eX)*o+Jj)*o*Math.exp(-t*t))}),H2={kernelName:da,backendName:"cpu",kernelFunc:nX};function ec(r){let{inputs:e,backend:t,attrs:o}=r,{input:n}=e,{dim:s}=o,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Le({inputs:{x:n},backend:t,attrs:{shape:i}})}var K2={kernelName:Ss,backendName:"cpu",kernelFunc:ec};var sX=Be((r,e)=>r/e),yl=Qe(Zo,sX),bl={kernelName:Zo,backendName:"cpu",kernelFunc:yl};function vf(r,e,t){let o=r.shape,n=o[0],s=o[1],a=t.data.get(r.dataId),i=a.complexTensorInfos.real,p=a.complexTensorInfos.imag,u=[n,s],c=y.sizeFromShape(u),l=y.getTypedArrayFromDType("float32",c),m=y.getTypedArrayFromDType("float32",c);for(let g=0;g{let{image:o}=r,n=t,s=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[a,i,p,u]=o.shape,c=n.data.get(o.dataId).values;for(let m=0;m=0&&CMath.floor(r/e)),mX=Qe(nn,lX,null,"int32"),Y2={kernelName:nn,backendName:"cpu",kernelFunc:mX};function dX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=MS({inputs:{x:n,filter:s},backend:t,attrs:{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m}});if(a){let g=h;if(c==="NCHW"&&a.shape.length===1&&a.shape[0]!==1){let x=Le({inputs:{x:a},backend:t,attrs:{shape:[a.shape[0],1,1]}});h=Xs({inputs:{a:h,b:x},backend:t}),t.disposeIntermediateTensorInfo(x)}else h=Xs({inputs:{a:h,b:a},backend:t});t.disposeIntermediateTensorInfo(g)}if(d){let g=h;if(c==="NCHW"&&d==="prelu"&&i.shape.length===1&&i.shape[0]!==1){let x=Le({inputs:{x:i},backend:t,attrs:{shape:[i.shape[0],1,1]}});h=Du(t,h,d,x,f),t.disposeIntermediateTensorInfo(x)}else h=Du(t,h,d,i,f);t.disposeIntermediateTensorInfo(g)}return h}var Q2={kernelName:go,backendName:"cpu",kernelFunc:dX};function fX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=LS({inputs:{x:n,filter:s},backend:t,attrs:{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m}});if(a){let g=h;h=Xs({inputs:{a:h,b:a},backend:t}),t.disposeIntermediateTensorInfo(g)}if(d){let g=h;h=Du(t,h,d,i,f),t.disposeIntermediateTensorInfo(g)}return h}var Z2={kernelName:xo,backendName:"cpu",kernelFunc:fX};function hX(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=y.sizeFromShape(o.shape),a=n.shape,i=a[a.length-1],[p,u,c,l]=S.prepareAndValidate(o,n);if(u===0)return t.makeTensorInfo(p,o.dtype,[]);let m=t.data.get(n.dataId).values,d=t.bufferSync(o),f=pf(m,d,o.dtype,u,i,c,l,o.shape,s);return t.makeTensorInfo(p,o.dtype,f.values)}var J2={kernelName:an,backendName:"cpu",kernelFunc:hX};function gX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,indices:s}=e,{axis:a,batchDims:i}=o;j([n,s],"gatherV2");let p=y.parseAxisParam(a,n.shape)[0],u=t.data.get(s.dataId).values,c=n.shape[p];for(let w=0;w=0,()=>`GatherV2: the index value ${k} is not in [0, ${c-1}]`)}let l=i;i==null&&(l=0);let m=y.sizeFromShape(s.shape),d=S.segment_util.collectGatherOpShapeInfo(n,s,p,l),f=Le({inputs:{x:n},backend:t,attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]}}),h=Le({inputs:{x:s},backend:t,attrs:{shape:[d.batchSize,m/d.batchSize]}}),g=[d.batchSize,d.outerSize,m/d.batchSize,d.sliceSize],x=t.bufferSync(h),b=t.bufferSync(f),C=cf(b,x,g);return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),t.makeTensorInfo(d.outputShape,C.dtype,C.values)}var e_={kernelName:Is,backendName:"cpu",kernelFunc:gX};function xX(r){let{inputs:e,backend:t}=r,{input:o}=e,n=y.sizeFromShape(o.shape),s=o.shape[o.shape.length-1],a=n/s,i=Le({inputs:{x:o},backend:t,attrs:{shape:[a,s]}}),p=vf(i,!0,t),u=Le({inputs:{x:p},backend:t,attrs:{shape:o.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(p),u}var t_={kernelName:pi,backendName:"cpu",kernelFunc:xX};var yX=we(ha,r=>Number.isFinite(r)?1:0,"bool"),r_={kernelName:ha,backendName:"cpu",kernelFunc:yX};var bX=we(ga,r=>Math.abs(r)===1/0?1:0,"bool"),o_={kernelName:ga,backendName:"cpu",kernelFunc:bX};var CX=we(cn,r=>Number.isNaN(r)?1:0,"bool"),n_={kernelName:cn,backendName:"cpu",kernelFunc:CX};function SX(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=lf(o,n,s);return e.makeTensorInfo([a.length],"float32",a)}var s_={kernelName:li,backendName:"cpu",kernelFunc:SX};var wX=we(xa,r=>Math.log1p(r)),a_={kernelName:xa,backendName:"cpu",kernelFunc:wX};var IX=Be((r,e)=>r&&e),vX=Qe(hn,IX,null,"bool"),i_={kernelName:hn,backendName:"cpu",kernelFunc:vX};var kX=we(gn,r=>r?0:1,"bool"),u_={kernelName:gn,backendName:"cpu",kernelFunc:kX};var NX=Be((r,e)=>r||e),TX=Qe(xn,NX,null,"bool"),p_={kernelName:xn,backendName:"cpu",kernelFunc:TX};function _X(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;j(n,"LRN");let u=n.shape[3],c=u-1,l=t.data.get(n.dataId).values,m=y.sizeFromShape(n.shape),d=new Float32Array(m);function f(h){let g=h%u,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),C=0;for(;x<=b;x++){let w=l[x];C+=w*w}return C}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=ir({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Jp(m,n.shape,n.dtype,d,c,"max");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var d_={kernelName:Cn,backendName:"cpu",kernelFunc:EX};function AX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;j(n,"maxPool3d");let c=S.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=If(l,n.shape,n.dtype,y.computeStrides(n.shape),c,"max");return t.makeTensorInfo(m.shape,"float32",m.values)}var f_={kernelName:Cp,backendName:"cpu",kernelFunc:AX};function RX(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;j([n,s],"maxPool3DGrad");let c=S.computePool3DInfo(s.shape,a,i,1,p,u),l=t.bufferSync(s),m=p2(l,c),d=c.strideDepth,f=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,C=c.effectiveFilterDepth,w=c.effectiveFilterHeight,k=c.effectiveFilterWidth,_=C-1-c.padInfo.front,E=k-1-c.padInfo.left,A=w-1-c.padInfo.top,R=le(s.shape,"float32"),D=t.bufferSync(n);for(let P=0;P=c.outDepth||Math.floor(ee)!==ee))for(let oe=0;oe=c.outHeight||Math.floor(J)!==J))for(let te=0;te=c.outWidth||Math.floor(ie)!==ie)continue;let ce=C*w*k-1-m.get(P,ee,J,ie,M),ye=Z*w*k+oe*k+te,Ne=ce===ye?1:0;if(Ne===0)continue;let Ie=D.get(P,ee,J,ie,M);q+=Ie*Ne}}}R.set(q,P,L,V,z,M)}return t.makeTensorInfo(R.shape,R.dtype,R.values)}var h_={kernelName:$m,backendName:"cpu",kernelFunc:RX};function DX(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;j([s,a],"maxPoolGrad");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=S.computePool2DInfo(i.shape,p,u,1,c,l),d=t.data.get(i.dataId).values,f=le(m.outShape,i.dtype,wf(d,i.shape,i.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,C=m.effectiveFilterHeight,w=m.effectiveFilterWidth,k=w-1-m.padInfo.left,_=C-1-m.padInfo.top,E=le(i.shape,"float32"),A=t.data.get(n.dataId).values,R=le(n.shape,"float32",A);for(let D=0;D=m.outHeight||Math.floor(H)!==H))for(let q=0;q=m.outWidth||Math.floor(Z)!==Z)continue;let ee=C*w-1-f.get(D,H,Z,P),oe=K*w+q,J=ee===oe?1:0;if(J===0)continue;let te=R.get(D,H,Z,P);U+=te*J}}E.set(U,D,M,L,P)}return t.makeTensorInfo(E.shape,E.dtype,E.values)}var g_={kernelName:_m,backendName:"cpu",kernelFunc:DX};function x_(r,e,t,o,n){let s=y.computeStrides(e),a=Jp(r,e,t,s,n,"max"),i=wf(r,e,t,n,!0,o);return[a.values,i.values]}var y_={kernelName:Sp,backendName:"cpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;j(o,"MaxPoolWithArgmax");let u=p.data.get(o.dataId).values,c=S.computePool2DInfo(o.shape,n,s,[1,1],a),[l,m]=x_(u,o.shape,o.dtype,i,c),d=p.write(l,c.outShape,o.dtype),f=p.write(m,c.outShape,o.dtype);return[{dataId:d,shape:c.outShape,dtype:o.dtype},{dataId:f,shape:c.outShape,dtype:"int32"}]}};function FX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=y.parseAxisParam(s,n.shape),u=S.computeOutAndReduceShapes(n.shape,i)[1],c=y.sizeFromShape(u),l=[],m=t.makeTensorInfo([],"float32",new Float32Array([c]));l.push(m);let d=vo({inputs:{x:n},backend:t,attrs:{dtype:"float32"}});l.push(d);let f=yl({inputs:{a:d,b:m},backend:t});l.push(f);let h=za({inputs:{x:f},backend:t,attrs:{axis:s,keepDims:a}});return l.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}var b_={kernelName:Sn,backendName:"cpu",kernelFunc:FX};function OX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;j(n,"min");let i=y.parseAxisParam(s,n.shape),p=i,u=S.getAxesPermutation(p,n.shape.length),c=n;u!=null&&(c=St({inputs:{x:n},backend:t,attrs:{perm:u}}),p=S.getInnerMostAxes(p.length,n.shape.length)),S.assertAxesAreInnerMostDims("min",p,c.shape.length);let[l,m]=S.computeOutAndReduceShapes(c.shape,p),d=y.sizeFromShape(m),f=y.makeZerosTypedArray(y.sizeFromShape(l),c.dtype),h=t.data.get(c.dataId).values;for(let x=0;xC[0]+n.shape[w]+C[1]),p=s.map(C=>C[0]),u=s.map((C,w)=>C[0]+n.shape[w]),c=a==="reflect"?0:1,l=t.data.get(n.dataId).values,m=n.shape.length,d=y.computeStrides(n.shape),f=y.sizeFromShape(i),h=i.length,g=y.computeStrides(i),x=y.getTypedArrayFromDType(n.dtype,f);for(let C=0;C=u[_]&&(w[_]=(u[_]-1)*2-w[_]+c);w=w.map((_,E)=>_-p[E]);let k=y.locToIndex(w,m,d);x[C]=l[k]}return{dataId:t.write(x,i,n.dtype),shape:i,dtype:n.dtype}}var S_={kernelName:vn,backendName:"cpu",kernelFunc:PX};var MX=Be((r,e)=>{let t=r%e;return r<0&&e<0||r>=0&&e>=0?t:(t+e)%e}),LX=Qe(ya,MX),w_={kernelName:ya,backendName:"cpu",kernelFunc:LX};var v_=ap(gC());function zS(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=n.shape.length,i=s;if(i===-1&&(i=a-1),i!==a-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a} and dim was ${i}`);let p=y.parseAxisParam([i],n.shape),u=VS({inputs:{x:n},backend:t,attrs:{reductionIndices:p,keepDims:!1}}),c=S.expandShapeToKeepDim(u.shape,p),l=Le({inputs:{x:u},backend:t,attrs:{shape:c}}),m=gl({inputs:{a:n,b:l},backend:t}),d=dS({inputs:{x:m},backend:t}),f=za({inputs:{x:d},backend:t,attrs:{axis:p,keepDims:!1}}),h=Le({inputs:{x:f},backend:t,attrs:{shape:c}}),g=yl({inputs:{a:d,b:h},backend:t});return t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var I_={kernelName:qn,backendName:"cpu",kernelFunc:zS};function BX(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;j(n,"multinomial");let p=i?n:zS({inputs:{logits:n},backend:t,attrs:{dim:-1}}),u=p.shape[0],c=p.shape[1],l=t.data.get(p.dataId).values,m=[u,s],d=y.makeZerosTypedArray(y.sizeFromShape(m),"int32");for(let f=0;f=0&&l[m]{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=ec({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Mi({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var D_={kernelName:Ns,backendName:"cpu",kernelFunc:WS};function qX(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;j(n,"pad");let i=s.map((b,C)=>b[0]+n.shape[C]+b[1]),p=s.map(b=>b[0]),u=t.data.get(n.dataId).values,c=y.sizeFromShape(n.shape),l=n.shape.length,m=y.computeStrides(n.shape),d=y.sizeFromShape(i),f=i.length,h=y.computeStrides(i),g=y.getTypedArrayFromDType(n.dtype,d);a!==0&&g.fill(a);for(let b=0;b_+p[E]),k=y.locToIndex(w,f,h);g[k]=u[b]}return{dataId:t.write(g,i,n.dtype),shape:i,dtype:n.dtype}}var kf={kernelName:En,backendName:"cpu",kernelFunc:qX};var jX=Be((r,e)=>Math.pow(r,e)),XX=Qe(An,jX),F_={kernelName:An,backendName:"cpu",kernelFunc:XX};function YX(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.data.get(x.dataId).values),u=n.map(x=>x.shape),c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,[m,d,f]=df(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],"int32",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var O_={kernelName:Ip,backendName:"cpu",kernelFunc:YX};function QX(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=ff(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],"int32",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var P_={kernelName:vp,backendName:"cpu",kernelFunc:QX};function ZX(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.data.get(n.dataId).values,c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,m=i.map(g=>t.data.get(g.dataId).values),d=i.map(g=>g.shape),[f,h]=hf(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var M_={kernelName:kp,backendName:"cpu",kernelFunc:ZX};function JX(r){let{backend:e,attrs:t}=r,{start:o,stop:n,dtype:s,step:a}=t,i=_u(o,n,a,s);return e.makeTensorInfo([i.length],s,i)}var L_={kernelName:Ts,backendName:"cpu",kernelFunc:JX};var e5=we(Fn,r=>1/r),B_={kernelName:Fn,backendName:"cpu",kernelFunc:e5};function t5(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o;j(n,"resizeBilinear");let p=y.computeStrides(n.shape),[u,c]=i,[l,m,d,f]=n.shape,h=t.data.get(n.dataId).values,g=new Float32Array(y.sizeFromShape([l,u,c,f])),x=[s&&u>1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],C=0,w=x[0]/b[0],k=x[1]/b[1];for(let _=0;_1?u-1:u,a&&d>1?c-1:c],g=[a&&m>1?m-1:m,a&&d>1?d-1:d],x=h[0]/g[0],b=h[1]/g[1],C=t.data.get(s.dataId).values,w=0;for(let k=0;k1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],C=x[0]/b[0],w=x[1]/b[1],k=0;for(let _=0;_1?c-1:c,a&&f>1?l-1:l],b=[a&&d>1?d-1:d,a&&f>1?f-1:f],C=x[0]/b[0],w=x[1]/b[1],k=1/C,_=1/w,E=Math.ceil(k)*2+2,A=Math.ceil(_)*2+2;for(let R=0;R=d)continue;let J=D+oe*p[1],te=oe*C,ie=Math.min(c-1,a?Math.round(te):Math.floor(te));if(P===ie)for(let ce=0;ce=f)continue;let Ne=J+ye*p[2],Ie=ye*w,Ae=Math.min(l-1,a?Math.round(Ie):Math.floor(Ie));z===Ae&&(Z+=g[Ne+q])}}h[U+q]=Z}}}}return t.makeTensorInfo(n.shape,n.dtype,h)}var U_={kernelName:Em,backendName:"cpu",kernelFunc:n5};function s5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o;j(n,"reverse");let a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return ir({inputs:{x:n},backend:t});let p=new st(n.shape,n.dtype),u=t.bufferSync(n);for(let c=0;cm[d]=n.shape[d]-1-m[d]),p.set(u.get(...m),...l)}return t.makeTensorInfo(p.shape,p.dtype,p.values)}var G_={kernelName:Bn,backendName:"cpu",kernelFunc:s5};var H_={kernelName:ts,backendName:"cpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[u,c,l,m]=o.shape,[d,f]=S.getImageCenter(a,c,l),h=255,g=Math.sin(n),x=Math.cos(n),b=i.data.get(o.dataId).values;for(let w=0;w=0&&V=0&&z{let e=Math.floor(r);return r-e<.5?Math.floor(r):r-e>.5?Math.ceil(r):e%2===0?e:e+1}),K_={kernelName:Vn,backendName:"cpu",kernelFunc:a5};function i5(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=!0,d=t.bufferSync(n),f=t.bufferSync(s),h=Va(d,f,a,l,u,p,i,c,0,m);return t.makeTensorInfo(a,h.dtype,h.values)}var q_={kernelName:Wn,backendName:"cpu",kernelFunc:i5};function u5(r,e){let t=0,o=r.length,n=0;for(;t1||n.shape.length===1?1:y.sizeFromShape(n.shape.slice(1));for(let f=0;fr>=0?d5*r:m5*(Math.exp(r)-1)),Q_={kernelName:Ca,backendName:"cpu",kernelFunc:f5};var h5=we(wa,r=>r<0?-1:r>0?1:0),Z_={kernelName:wa,backendName:"cpu",kernelFunc:h5};var g5=we(Un,r=>Math.sin(r)),J_={kernelName:Un,backendName:"cpu",kernelFunc:g5};var x5=we(Sa,r=>Math.sinh(r)),e$={kernelName:Sa,backendName:"cpu",kernelFunc:x5};var y5=11920928955078125e-23,t$=Math.log(y5)+2,b5=we(Ia,r=>{let e=r>-t$,t=r0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return{dataId:n,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,o,n,s){this.data.set(e,{values:t,dtype:n,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:o}=this.data.get(e);if(t==="complex64"){let n=this.readSync(o.real.dataId),s=this.readSync(o.imag.dataId);return C.mergeRealAndImagArrays(n,s)}return y.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let o=t.map(n=>y.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return me(e.shape,e.dtype,t)}makeOutput(e,t,o){return ur().makeTensorFromTensorInfo(this.makeTensorInfo(t,o,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:o}=this.data.get(e);o!=null&&(this.disposeData(o.real.dataId,!0),this.disposeData(o.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){Y([e],"where");let t=this.readSync(e.dataId);return K5(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};lu.nextDataId=0;var Sc={};He(Sc,{addImpl:()=>IS,bincountImpl:()=>yc,bincountReduceImpl:()=>If,bitwiseAndImpl:()=>vS,castImpl:()=>SS,ceilImpl:()=>kS,concatImpl:()=>np,equalImpl:()=>NS,expImpl:()=>_S,expm1Impl:()=>ES,floorDivImpl:()=>DS,floorImpl:()=>RS,gatherNdImpl:()=>vf,gatherV2Impl:()=>kf,greaterEqualImpl:()=>FS,greaterImpl:()=>AS,lessEqualImpl:()=>OS,lessImpl:()=>PS,linSpaceImpl:()=>Nf,logImpl:()=>MS,maxImpl:()=>Tf,maximumImpl:()=>LS,minimumImpl:()=>BS,multiplyImpl:()=>Ml,negImpl:()=>zS,notEqualImpl:()=>VS,prodImpl:()=>WS,raggedGatherImpl:()=>_f,raggedRangeImpl:()=>$f,raggedTensorToTensorImpl:()=>Ef,rangeImpl:()=>ap,rsqrtImpl:()=>US,scatterImpl:()=>Fs,sigmoidImpl:()=>n_,simpleAbsImpl:()=>wS,sliceImpl:()=>ip,sparseFillEmptyRowsImpl:()=>Rf,sparseReshapeImpl:()=>Df,sparseSegmentReductionImpl:()=>wc,sqrtImpl:()=>i_,squaredDifferenceImpl:()=>HS,staticRegexReplaceImpl:()=>KS,stridedSliceImpl:()=>Af,stringNGramsImpl:()=>up,stringSplitImpl:()=>pp,stringToHashBucketFastImpl:()=>cp,subImpl:()=>jS,tileImpl:()=>Ff,topKImpl:()=>Pf,transposeImpl:()=>bc,uniqueImpl:()=>lp});function wS(r){let e=new Float32Array(r.length);for(let t=0;t{let{x:e}=r.inputs,t=r.backend;Y(e,"abs");let o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId).values;return o=wS(n),t.makeOutput(o,e.shape,e.dtype)},_T={kernelName:Gs,backendName:"cpu",kernelFunc:q5};function ze(r){return(e,t,o,n,s)=>{let a=C.assertAndGetBroadcastShape(e,t),i=a.length,p=y.computeStrides(a),u=y.sizeFromShape(a),c=y.getTypedArrayFromDType(s,u),l=e.length,m=t.length,d=y.computeStrides(e),f=y.computeStrides(t),h=C.getBroadcastDims(e,a),g=C.getBroadcastDims(t,a);if(h.length+g.length===0)for(let x=0;xw[E]=0);let S=y.locToIndex(w,l,d),k=b.slice(-m);g.forEach(E=>k[E]=0);let _=y.locToIndex(k,m,f);c[x]=r(o[S],n[_])}return[c,a]}}function Kt(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=t.makeTensorInfo(o.shape,"complex64"),p=t.data.get(i.dataId);return p.complexTensorInfos={real:t.makeTensorInfo(o.shape,"float32",s),imag:t.makeTensorInfo(n.shape,"float32",a)},i}var $T={kernelName:Ti,backendName:"cpu",kernelFunc:Kt};function gc(r,e,t="float32"){if(t==="complex64"){let n=gc(r,e,"float32"),s=gc(r,e,"float32");return Kt({inputs:{real:n,imag:s},backend:r})}let o=y.makeZerosTypedArray(y.sizeFromShape(e),t);return r.makeTensorInfo(e,t,o)}function lr(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var ET={kernelName:xo,backendName:"cpu",kernelFunc:lr};function To(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.data.get(o.dataId).complexTensorInfos.real,s=t.data.get(n.dataId).values;return t.makeTensorInfo(n.shape,n.dtype,s)}var RT={kernelName:zi,backendName:"cpu",kernelFunc:To};function SS(r,e,t,o){if(o==="int32"){let n=Int32Array.from(r);return[e,"int32",n]}if(o==="bool"){let n=y.toTypedArray([0],t),[s,a]=ze((i,p)=>i!==p?1:0)(e,[],r,n,"bool");return[a,"bool",s]}throw new Error(`Error in Cast: failed to cast ${t} to ${o}`)}function _o(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return lr({inputs:{x:n},backend:t});let c=gc(t,n.shape,n.dtype),l=_o({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),m=Kt({inputs:{real:l,imag:c},backend:t});return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),m}if(n.dtype==="complex64"){let c=To({inputs:{input:n},backend:t}),l=_o({inputs:{x:c},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(c),l}if(!y.hasEncodingLoss(n.dtype,s)){let c=lr({inputs:{x:n},backend:t});return{dataId:c.dataId,shape:c.shape,dtype:s}}let a=t.data.get(n.dataId).values,[i,p,u]=SS(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}var DT={kernelName:ho,backendName:"cpu",kernelFunc:_o};function je(r,e,t,o){return t==null?({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;Y([a,i],r);let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=a.dtype==="string"?C.fromUint8ToStringArray(u):u,m=a.dtype==="string"?C.fromUint8ToStringArray(c):c,d=o||a.dtype,[f,h]=e(a.shape,i.shape,l,m,d);return p.makeTensorInfo(h,d,f)}:({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(a.dtype==="complex64"||i.dtype==="complex64"){let u=_o({inputs:{x:a},backend:p,attrs:{dtype:"complex64"}}),c=p.data.get(u.dataId),l=c.complexTensorInfos.real,m=c.complexTensorInfos.imag,d=p.data.get(l.dataId).values,f=p.data.get(m.dataId).values,h=_o({inputs:{x:i},backend:p,attrs:{dtype:"complex64"}}),g=p.data.get(h.dataId),x=g.complexTensorInfos.real,b=g.complexTensorInfos.imag,w=p.data.get(x.dataId).values,S=p.data.get(b.dataId).values,[k,_,E]=t(a.shape,i.shape,d,f,w,S),R=p.makeTensorInfo(E,"float32",k),D=p.makeTensorInfo(E,"float32",_),F=Kt({inputs:{real:R,imag:D},backend:p});return p.disposeIntermediateTensorInfo(u),p.disposeIntermediateTensorInfo(h),p.disposeIntermediateTensorInfo(R),p.disposeIntermediateTensorInfo(D),F}else{let u=p.data.get(a.dataId).values,c=p.data.get(i.dataId).values,l=o||a.dtype,[m,d]=e(a.shape,i.shape,u,c,l);return p.makeTensorInfo(d,l,m)}}}function xc(r){return(e,t,o,n,s,a)=>{let i=C.assertAndGetBroadcastShape(e,t),p=y.sizeFromShape(i),u=i.length,c=y.computeStrides(i),l=y.getTypedArrayFromDType("float32",p),m=y.getTypedArrayFromDType("float32",p),d=C.getBroadcastDims(e,i),f=C.getBroadcastDims(t,i),h=C.mergeRealAndImagArrays(o,n),g=C.mergeRealAndImagArrays(s,a),x=e.length,b=y.computeStrides(e),w=t.length,S=y.computeStrides(t);if(d.length+f.length===0)for(let k=0;kE[M]=0);let R=y.locToIndex(E,x,b),D=_.slice(-w);f.forEach(M=>D[M]=0);let F=y.locToIndex(D,w,S),O=r(h[R*2],h[R*2+1],g[F*2],g[F*2+1]);l[k]=O.real,m[k]=O.imag}return[l,m,i]}}var IS=ze((r,e)=>r+e),j5=xc((r,e,t,o)=>({real:r+t,imag:e+o})),_a=je(no,IS,j5),AT={kernelName:no,backendName:"cpu",kernelFunc:_a};function yc(r,e,t,o,n){let s=y.sizeFromShape(o),a=y.makeZerosTypedArray(n,t);for(let i=0;i=n||(s>0?a[p]+=e[i]:a[p]+=1)}return a}function If(r,e,t,o=!1){let n=r.shape[0],s=r.shape[1],a=me([n,t],e.dtype);for(let i=0;i=t||(o?a.set(1,i,u):e.size>0?a.set(a.get(i,u)+e.get(i,p),i,u):a.set(a.get(i,u)+1,i,u))}return a}var vS=ze((r,e)=>r&e),X5=je(ml,vS),FT={kernelName:ml,backendName:"cpu",kernelFunc:X5};function jt(r){return(e,t,o)=>{let n=y.getArrayFromDType(t,e.length);for(let s=0;s{let{x:a}=o;Y(a,r);let i=s,p=i.data.get(a.dataId).values,u;if(a.dtype==="string"){if(!Array.isArray(p))throw new Error("String tensor's value was not an instance of Array");u=C.fromUint8ToStringArray(p)}else u=p;let c=t||a.dtype,l=e(u,c,n);return i.makeTensorInfo(a.shape,c,l)}}var kS=jt(r=>Math.ceil(r)),Y5=Dr(Jo,kS),PT={kernelName:Jo,backendName:"cpu",kernelFunc:Y5};function np(r,e,t,o){let n=y.getArrayFromDType(t,y.sizeFromShape(e));if(o&&t!=="string"){let s=0;r.forEach(a=>{let i=y.sizeFromShape(a.shape);n.set(a.vals,s),s+=i})}else{let s=0;r.forEach(a=>{let i=t==="string"?C.fromUint8ToStringArray(a.vals):a.vals,p=0;for(let u=0;ur===e?1:0),TS=je(hn,NS,null,"bool"),OT={kernelName:hn,backendName:"cpu",kernelFunc:TS};var _S=jt(r=>Math.exp(r)),$S=Dr(gn,_S,"float32"),MT={kernelName:gn,backendName:"cpu",kernelFunc:$S};var ES=jt(r=>Math.expm1(r)),Q5=Dr(xn,ES),LT={kernelName:xn,backendName:"cpu",kernelFunc:Q5};var RS=jt(r=>Math.floor(r)),Z5=Dr(bn,RS),BT={kernelName:bn,backendName:"cpu",kernelFunc:Z5};var DS=ze((r,e)=>Math.floor(r/e)),J5=je(Cn,DS,null,"int32"),zT={kernelName:Cn,backendName:"cpu",kernelFunc:J5};function vf(r,e,t,o,n,s,a,i,p){let u=me([o,s],t);for(let c=0;c=p/s)throw new Error(`Invalid indices: ${l} does not index into ${i}`);for(let d=0;dr>e?1:0),e8=je(In,AS,null,"bool"),VT={kernelName:In,backendName:"cpu",kernelFunc:e8};var FS=ze((r,e)=>r>=e?1:0),t8=je(vn,FS,null,"bool"),WT={kernelName:vn,backendName:"cpu",kernelFunc:t8};var PS=ze((r,e)=>rr<=e?1:0),o8=je(En,OS,null,"bool"),GT={kernelName:En,backendName:"cpu",kernelFunc:o8};function Nf(r,e,t){let o=(e-r)/(t-1),n=y.makeZerosTypedArray(t,"float32");n[0]=r;for(let s=1;sMath.log(r)),n8=Dr(Dn,MS),HT={kernelName:Dn,backendName:"cpu",kernelFunc:n8};function Tf(r,e,t,o){let n=y.getTypedArrayFromDType(o,y.sizeFromShape(t));for(let s=0;si)&&(i=u)}n[s]=i}return n}var LS=ze((r,e)=>Math.max(r,e)),s8=je(Bn,LS),KT={kernelName:Bn,backendName:"cpu",kernelFunc:s8};var BS=ze((r,e)=>Math.min(r,e)),a8=je(Un,BS),qT={kernelName:Un,backendName:"cpu",kernelFunc:a8};var Ml=ze((r,e)=>r*e),i8=xc((r,e,t,o)=>({real:r*t-e*o,imag:r*o+e*t})),sp=je(Kn,Ml,i8),jT={kernelName:Kn,backendName:"cpu",kernelFunc:sp};function zS(r,e,t){let o=y.createScalarValue(-1,t);return Ml([],e,o,r,t)}function u8(r){let{inputs:e,backend:t}=r,{x:o}=e;Y(o,"neg");let n=t.data.get(o.dataId).values,[s,a]=zS(n,o.shape,o.dtype);return t.makeTensorInfo(a,o.dtype,s)}var XT={kernelName:oa,backendName:"cpu",kernelFunc:u8};var VS=ze((r,e)=>r!==e?1:0),p8=je(qn,VS,null,"bool"),YT={kernelName:qn,backendName:"cpu",kernelFunc:p8};function bc(r,e,t,o,n){let s=e.length,a=y.sizeFromShape(e),i=y.computeStrides(e),p=y.computeStrides(n),u=y.getTypedArrayFromDType(t,y.sizeFromShape(n));for(let c=0;ct.disposeIntermediateTensorInfo(b)),t.makeTensorInfo(x,g,f)}var ZT={kernelName:es,backendName:"cpu",kernelFunc:c8};function l8(r,e,t){r.forEach((o,n)=>{if(o<0||o>=t){let s=y.indexToLoc(n,e.length,y.computeStrides(e)).join(",");throw new Error(`indices[${s}] = ${o} is not in [0, ${t})`)}})}function m8(r,e){for(let t=0;tn)throw new Error("Ragged splits must not point past values");for(let s=1;so[s])throw new Error("Ragged splits must be sorted in ascending order")}}function d8(r,e,t,o){let n=[],s=0,a=e.length-1+t.length,i=new Array(a).fill(null).map(()=>[0]);m8(t,o);let p=1;for(let u=0;u=0){let h=i[f],g=h[h.length-1]-d[c];for(let x=c;xn[a]=s)}return e}function JT(r,e){let t=r.slice(0,e);for(;t.length1)throw new Error("starts must be a scalar or vector");if(n.length>1)throw new Error("limits must be a scalar or vector");if(a.length>1)throw new Error("deltas must be a scalar or vector");let i=e.length===0,p=n.length===0,u=a.length===0,c=[];i||c.push(e[0]),p||c.push(n[0]),u||c.push(a[0]);for(let g=1;g0&&bx)S=0;else if(S=Math.ceil(Math.abs((b-x)/w)),S>e_)throw new Error(`Requires ((limit - start) / delta) <= ${e_}`);m[g+1]=m[g]+S}let d=m[l],f=y.getArrayFromDType(t,d),h=0;for(let g=0;go&&(o=s)}return o}static getMaxWidthValueRowID(e){let t=e.length;if(t===0)return 0;let o=0,n=e[0],s=0;for(let a=1;a"Final length of result must be equal to firstDimension."),s}calculateOutputIndexRowSplit(e,t,o,n){let s=e.length,a=[];for(let i=0;i0&&a.length!==e[s-1])throw new Error("Invalid row split size.");return a}calculateOutputIndexValueRowID(e,t,o,n){let s=e.length,a=[];if(s===0)return[];let i=0,p=e[0];if(p>=t.length)throw new Error(`Got currentValueRowId=${p}, which is not less than ${t.length}`);let u=t[p];a.push(u);for(let c=1;c=0&&(++i,i=t.length)throw new Error(`Got nextValueRowId=${l} which is not less than ${t.length}`);u=t[l]}a.push(u)}if(a.length!==e.length)throw new Error("Invalid row ids.");return a}calculateOutputIndex(e,t,o,n){let s=this.getRowPartitionTensor(e),a=this.getRowPartitionTypeByDimension(e);switch(a){case $o.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(s,t,o,n);case $o.ROW_SPLITS:if(s.length-1>t.length)throw new Error(`Row partition size is greater than output size: ${s.length-1} > ${t.length}`);return this.calculateOutputIndexRowSplit(s,t,o,n);default:throw new Error(`Unsupported partition type: ${$o[a]}`)}}getFirstDimensionSize(){let e=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");let t=this.rowPartitionTypes[0];switch(t){case $o.FIRST_DIM_SIZE:return e[0];case $o.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case $o.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${$o[t]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");let t=this.getFirstDimensionSize(),o=this.calculateOutputSize(t),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(let p=n.length-2;p>=0;--p)n[p]=n[p+1]*o[p+1];let s=r_(o,!1),a=y.getArrayFromDType(this.valuesDType,y.sizeFromShape(s));if(n[0]*o[0]>0){let p=this.calculateFirstParentOutputIndex(t,n[0],o[0]);for(let u=1;u<=this.raggedRank;++u)p=this.calculateOutputIndex(u-1,p,n[u],o[u]);this.setOutput(this.raggedRank,p,a,s)}return[s,a]}setOutput(e,t,o,n){if(o.length===0)return;let s=this.values,a=o,i=n.slice();i=i.slice(e+1);let p=y.sizeFromShape(i),u=t.length,c=this.defaultValue;if(c.length!==p&&c.length!==1){let f=this.defaultValueShape;De(()=>{let h=W(c,f);c=ru(h,i).dataSync()})}let l=0,m=0,d=0;for(let f=0;f<=u;++f){let h=f=u){let g=o.length;h=Math.floor(g/p)}if(h>d)if(this.defaultValue.length===1)a.subarray(d*p,h*p).fill(this.defaultValue[0]),d=h;else for(;h>d;){let g=a.slice(d*p);t_(g,c,p),++d}h<0?(l=f+1,m=d):(l=f,m=d,d=m+1)}}};function t_(r,e,t){for(let o=0;o= 0`);if(o<-1)throw new Error(`Dimension ${o} must be >= -1`);o=-1}t.push(o)}return t}function Ef(r,e,t,o,n,s,a,i,p,u){return new Cc(r,e,t,o,n,s,a,i,p,u).compute()}function ap(r,e,t,o){let n=r===e,s=r1;if(n||s||a)return y.makeZerosTypedArray(0,o);let i=Math.abs(Math.ceil((e-r)/t)),p=y.makeZerosTypedArray(i,o);e1/Math.sqrt(r)),x8=Dr(us,US),o_={kernelName:us,backendName:"cpu",kernelFunc:x8};function Fs(r,e,t,o,n,s,a,i,p,u){let c=[o/n,n],l=r.values,m=e.values;if(o===0)return me(t,e.dtype);let d=p instanceof tt?p:me(c,e.dtype);typeof p=="string"||typeof p=="number"?d.values.fill(p):typeof p=="boolean"&&d.values.fill(+p);for(let f=0;f=o/n)throw new Error(`Invalid indices: ${h} does not index into ${t}`);for(let x=0;x1/(1+Math.exp(-r))),GS=Ie(hs,r=>1/(1+Math.exp(-r))),s_={kernelName:hs,backendName:"cpu",kernelFunc:GS};function ip(r,e,t,o,n){let s=ct.isSliceContinous(o,e,t),a=y.sizeFromShape(t),i=y.computeStrides(o);if(s){let l=ct.computeFlatOffset(e,i);return n==="string"?r.slice(l,l+a):r.subarray(l,l+a)}let p=n==="string"?C.fromUint8ToStringArray(r):r,u=me(o,n,p),c=me(t,n);for(let l=0;lf+e[h]);c.set(u.get(...d),...m)}return n==="string"?C.fromStringArrayToUint8(c.values):c.values}function Eo(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o;Y(n,"slice");let[i,p]=ct.parseSliceParams(n,s,a);ct.assertParamsValid(n,i,p);let u=t.data.get(n.dataId).values,c=ip(u,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,c)}var a_={kernelName:pa,backendName:"cpu",kernelFunc:Eo};function Rf(r,e,t,o,n,s,a){let i=e[0],p=s[0],u=new Array(p),c=new Array(i),l=e[1];if(p===0){if(i!==0)throw new Error(C.getSparseFillEmptyRowsIndicesDenseShapeMismatch(i));let g=y.getArrayFromDType(t,0),x=y.getArrayFromDType(n,0);return[g,[0,l],x,u,c]}let m=!0,d=0,f=new Array(p).fill(0);for(let g=0;g=p)throw new Error(C.getSparseFillEmptyRowsOutOfRangeIndexErrorMessage(g,x,p));++f[x],m=m&&x>=d,d=x}let h=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(h&&m){let g=r,x=o;for(let b=0;b0){d[m-1]=1;for(let g=m-2;g>=0;--g)d[g]=d[g+1]*o[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*p[g+1]}let h=y.getArrayFromDType(t,a*i);for(let g=0;g0?n[i-1]+1:0;if(l<0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let m=e.slice();m[0]=l;let d=m.reduce((w,S)=>w*S,1),f=y.getArrayFromDType(t,d);if(i===0)return l>0&&f.fill(a),[f,m];if(l<=0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let h=0,g=1,x=0,b=n[h];for(;;){let w=0;if(g=w)throw new Error(C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage())}if(b<0||b>=l)throw new Error(C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b,l));b>x&&f.fill(a,x*u,b*u);for(let S=h;S=p[0])throw new Error(C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(S,o[S],p[0]));for(let _=0;_i)break}return xMath.sqrt(r)),y8=Ie(xs,r=>Math.sqrt(r)),u_={kernelName:xs,backendName:"cpu",kernelFunc:y8};var HS=ze((r,e)=>{let t=r-e;return t*t}),b8=je(ws,HS),p_={kernelName:ws,backendName:"cpu",kernelFunc:b8};var KS=jt((r,e)=>{let{pattern:t,replaceGlobal:o,rewrite:n}=e;return r.replace(new RegExp(t,o?"g":""),n)}),C8=Dr(_u,KS),c_={kernelName:_u,backendName:"cpu",kernelFunc:C8};function Af(r,e,t,o){let n=me(r,e.dtype);for(let s=0;s0?0:i-p),d=0;d+=u*this.leftPad.length;for(let b=0;bb.forEach(w=>h[g++]=w);for(let b=0;b0){x(e[m+l-1]);for(let b=0;b0){let p=t[0];if(p!==0)throw new Error(`First split value must be 0, got ${p}`);for(let u=1;u=p;if(c=c&&t[u]<=o,!c)throw new Error(`Invalid split value ${t[u]}, must be in [${p}, ${o}]`);p=t[u]}if(p!==o)throw new Error(`Last split value must be data size. Expected ${o}, got ${p}`)}let s=n-1,a=y.getArrayFromDType("int32",n);if(o===0||n===0){let p=new Array(o);for(let u=0;u<=s;++u)a[u]=0;return[p,a]}a[0]=0;for(let p=1;p<=s;++p){let u=t[p]-t[p-1],c=0;this.nGramWidths.forEach(l=>{c+=this.getNumNGrams(u,l)}),this.preserveShort&&u>0&&c===0&&(c=1),a[p]=a[p-1]+c}let i=new Array(a[s]);for(let p=0;p{let m=t[p+1]-t[p],d=this.getNumNGrams(m,l);this.createNGrams(e,u,i,c,d,l),c+=d}),this.preserveShort&&c===a[p]){let l=t[p+1]-t[p];if(l===0)continue;let m=l+2*this.padWidth,d=1;this.createNGrams(e,u,i,c,d,m)}}return[i,a]}};function up(r,e,t,o,n,s,a,i){return new qS(t,o,n,s,a,i).compute(r,e)}function w8(r,e,t,o){if(!r.length)return;if(e.length===0){for(let s=0;sr-e),S8=xc((r,e,t,o)=>({real:r-t,imag:e-o})),Ll=je(Is,jS,S8),l_={kernelName:Is,backendName:"cpu",kernelFunc:Ll};function Ff(r,e){let t=new Array(r.rank);for(let n=0;n{let t=e.value-r.value;return t===0?r.index-e.index:t};function m_(r,e,t=0,o=r.length-1){for(;o>t;){if(o-t>600){let i=o-t+1,p=e-t+1,u=Math.log(i),c=.5*Math.exp(2*u/3),l=.5*Math.sqrt(u*c*(i-c)/i)*Math.sign(p-i/2),m=Math.max(t,Math.floor(e-p*c/i+l)),d=Math.min(o,Math.floor(e+(i-p)*c/i+l));m_(r,e,m,d)}let n=r[e],s=t,a=o;for(y.swap(r,t,e),Bl(r[o],n)>0&&y.swap(r,t,o);s0;)a=a-1}Bl(r[t],n)===0?y.swap(r,t,a):(a=a+1,y.swap(r,a,o)),a<=e&&(t=a+1),e<=a&&(o=a-1)}}function Pf(r,e,t,o,n){let s=e[e.length-1],[a,i]=[r.length/s,s],p=y.getTypedArrayFromDType(t,a*o),u=y.getTypedArrayFromDType("int32",a*o);for(let l=0;lf[w]={value:b,index:w}),o{for(let g=0;gnew lu,1);var XS=Ie(fn,r=>r>=0?r:Math.exp(r)-1),d_={kernelName:fn,backendName:"cpu",kernelFunc:XS};function YS(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o;Y([n],"leakyRelu");let a=y.sizeFromShape(n.shape),i=t.data.get(n.dataId).values,p=y.getTypedArrayFromDType("float32",a);for(let u=0;ur<0?e*r:r);function QS(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e;Y([o,n],"prelu");let s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,[i,p]=v8(o.shape,n.shape,s,a,"float32");return t.makeTensorInfo(p,"float32",i)}var h_={kernelName:Jn,backendName:"cpu",kernelFunc:QS};var ZS=Ie(rs,r=>Math.max(0,r)),g_={kernelName:rs,backendName:"cpu",kernelFunc:ZS};var JS=Ie(ss,r=>Math.min(Math.max(0,r),6)),x_={kernelName:ss,backendName:"cpu",kernelFunc:JS};function mp(r,e,t,o,n){if(t==="linear")return lr({inputs:{x:e},backend:r});if(t==="relu")return ZS({inputs:{x:e},backend:r});if(t==="elu")return XS({inputs:{x:e},backend:r});if(t==="relu6")return JS({inputs:{x:e},backend:r});if(t==="prelu")return QS({inputs:{x:e,alpha:o},backend:r});if(t==="leakyrelu")return YS({inputs:{x:e},backend:r,attrs:{alpha:n}});if(t==="sigmoid")return GS({inputs:{x:e},backend:r});throw new Error(`Activation ${t} has not been implemented for the CPU backend.`)}function Ve(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{shape:s}=o,a=y.sizeFromShape(n.shape),i=y.inferFromImplicitShape(s,a),p=y.sizeFromShape(i);y.assert(a===p,()=>`The new shape (${i}) has ${p} elements and the old shape (${n.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`),t.incRef(n.dataId);let u=t.data.get(n.dataId);if(u.complexTensorInfos!=null){let c=u.complexTensorInfos.real,l=u.complexTensorInfos.imag;c.shape=i,l.shape=i}return{dataId:n.dataId,shape:i,dtype:n.dtype}}var y_={kernelName:ia,backendName:"cpu",kernelFunc:Ve};function eI(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;Y([n,s],"matMul");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let S=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Ve({inputs:{x:n},backend:t,attrs:{shape:S}}),E=Ve({inputs:{x:s},backend:t,attrs:{shape:k}}),R=a?_.shape[1]:_.shape[2],D=a?_.shape[2]:_.shape[1],F=i?E.shape[1]:E.shape[2],O=Math.max(g,x),M=t.data.get(_.dataId).values,L=t.data.get(E.dataId).values,B=y.computeStrides(_.shape),z=y.computeStrides(E.shape),[U,j,H]=a?[B[0],1,B[1]]:[B[0],B[1],1],[X,J,re]=i?[1,z[1],z[0]]:[z[1],1,z[0]],ne=D*F,ee=me([O,D,F],_.dtype),oe=ee.values,ie=t.blockSize;for(let le=0;leMath.acos(r)),w_={kernelName:zo,backendName:"cpu",kernelFunc:N8};var T8=Ie(Vo,r=>Math.acosh(r)),S_={kernelName:Vo,backendName:"cpu",kernelFunc:T8};function _8(r){let{inputs:e,backend:t}=r,o=e;Y(e,"addN");let n=o.map(i=>t.data.get(i.dataId).values),s=me(o[0].shape,o[0].dtype),a=s.values;for(let i=0;ib&&(b=k,w=S)}d[g]=w}return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,"int32",d)}var N_={kernelName:Hs,backendName:"cpu",kernelFunc:R8};function D8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o;Y(n,"argMin");let a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=St({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),a=[a[0]],C.assertAxesAreInnerMostDims("argMin",a,p.shape.length);let[c,l]=C.computeOutAndReduceShapes(p.shape,a),m=y.sizeFromShape(c),d=y.makeZerosTypedArray(m,"int32"),f=y.sizeFromShape(l),h=t.data.get(p.dataId).values;for(let g=0;gt.disposeIntermediateTensorInfo(g)),t.makeTensorInfo(c,"int32",d)}var T_={kernelName:Ks,backendName:"cpu",kernelFunc:D8};var A8=Ie(Ho,r=>Math.asin(r)),__={kernelName:Ho,backendName:"cpu",kernelFunc:A8};var F8=Ie(Ko,r=>Math.asinh(r)),$_={kernelName:Ko,backendName:"cpu",kernelFunc:F8};var P8=Ie(qo,r=>Math.atan(r)),E_={kernelName:qo,backendName:"cpu",kernelFunc:P8};var O8=ze((r,e)=>Math.atan2(r,e)),M8=je(Xo,O8),R_={kernelName:Xo,backendName:"cpu",kernelFunc:M8};var L8=Ie(jo,r=>Math.atanh(r)),D_={kernelName:jo,backendName:"cpu",kernelFunc:L8};function Ic(r,e,t,o,n,s){let a=n.strideHeight,i=n.strideWidth,p=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,m=n.padInfo.top,d=n.padInfo.left,f=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=me(n.outShape,t),g=h.values,x=n.outShape[1]*n.outShape[2]*n.outShape[3],b=n.outShape[2]*n.outShape[3],w=n.outShape[3];for(let S=0;Sj?j=ie:s==="avg"&&(H+=ie,X++)}if(isNaN(j))break}let J=M+L*w+E;g[J]=s==="avg"?H/X:j}}}return h}function Of(r,e,t,o,n=!1,s=!1){let a=me(o.outShape,"int32"),i=o.strideHeight,p=o.strideWidth,u=o.dilationHeight,c=o.dilationWidth,l=o.effectiveFilterHeight,m=o.effectiveFilterWidth,d=o.padInfo.top,f=o.padInfo.left,h=me(e,t,r);for(let g=0;gF&&(F=U,n?O=s?((g*o.inHeight+M)*o.inWidth+B)*o.inChannels+x:(M*o.inWidth+B)*o.inChannels+x:O=L*m+z)}}a.set(O,g,b,_,x)}}return a}function Mf(r,e,t,o,n,s){let a=n.strideDepth,i=n.strideHeight,p=n.strideWidth,u=n.dilationDepth,c=n.dilationHeight,l=n.dilationWidth,m=n.effectiveFilterDepth,d=n.effectiveFilterHeight,f=n.effectiveFilterWidth,h=n.padInfo.front,g=n.padInfo.top,x=n.padInfo.left,b=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=me(n.outShape,t),S=w.values,k=n.outShape[1]*n.outShape[2]*n.outShape[3]*n.outShape[4],_=n.outShape[2]*n.outShape[3]*n.outShape[4],E=n.outShape[3]*n.outShape[4],R=n.outShape[4];for(let D=0;D_e?_e=gt:s==="avg"&&(ve+=gt,Fe++),isNaN(_e))break}if(isNaN(_e))break}if(isNaN(_e))break}let Pe=ye+M;S[Pe]=s==="avg"?ve/Math.max(Fe,1):_e}}}}return w}function A_(r,e){let t=me(e.outShape,"int32"),o=e.strideDepth,n=e.strideHeight,s=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,p=e.dilationWidth,u=e.effectiveFilterDepth,c=e.effectiveFilterHeight,l=e.effectiveFilterWidth,m=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left;for(let h=0;h=L&&(L=re,B=U*c*l+H*c+J)}}}t.set(B,h,x,k,D,g)}}}return t}function B8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;Y(n,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=lr({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Ic(m,n.shape,n.dtype,d,c,"avg");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var F_={kernelName:Yo,backendName:"cpu",kernelFunc:B8};function z8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;Y(n,"avgPool3d");let c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=Mf(l,n.shape,n.dtype,y.computeStrides(n.shape),c,"avg");return t.makeTensorInfo(m.shape,"float32",m.values)}var P_={kernelName:qs,backendName:"cpu",kernelFunc:z8};function V8(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;Y([n,s],"avgPool3DGrad");let c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=c.strideDepth,m=c.strideHeight,d=c.strideWidth,f=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,S=c.effectiveFilterDepth,k=c.effectiveFilterHeight,_=c.effectiveFilterWidth,E=S-1-c.padInfo.front,R=_-1-c.padInfo.left,D=k-1-c.padInfo.top,F=me(s.shape,"float32"),O=1/(f*h*g),M=t.bufferSync(n);for(let L=0;L=c.outDepth||Math.floor(ee)!==ee))for(let oe=0;oe=c.outHeight||Math.floor(ie)!==ie))for(let le=0;le<_;le+=w){let ye=(J+le)/d;if(ye<0||ye>=c.outWidth||Math.floor(ye)!==ye)continue;let _e=M.get(L,ee,ie,ye,B);re+=_e}}}F.set(re*O,L,z,U,j,B)}return t.makeTensorInfo(F.shape,F.dtype,F.values)}var O_={kernelName:Ni,backendName:"cpu",kernelFunc:V8};function W8(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;Y([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=c.strideHeight,m=c.strideWidth,d=c.filterHeight,f=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,S=x-1-c.padInfo.top,k=me(a.shape,"float32"),_=1/(d*f),E=t.data.get(n.dataId).values,R=me(n.shape,"float32",E);for(let D=0;D=c.outHeight||Math.floor(j)!==j))for(let H=0;H=c.outWidth||Math.floor(X)!==X)continue;let J=R.get(D,j,X,F);z+=J}}k.set(z*_,D,O,M,F)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var M_={kernelName:Gp,backendName:"cpu",kernelFunc:W8};function U8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,scale:s,offset:a,mean:i,variance:p}=e;y.assert(i.shape.length===p.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||i.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(s==null||i.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),Y([n,i,p,s,a],"batchNorm");let{varianceEpsilon:u}=o;u==null&&(u=.001);let c=t.data.get(n.dataId).values,l=t.data.get(i.dataId).values,m=t.data.get(p.dataId).values,d=s?t.data.get(s.dataId).values:new Float32Array([1]),f=a?t.data.get(a.dataId).values:new Float32Array([0]),h=new Float32Array(c.length),g=f.length,x=d.length,b=m.length,w=l.length,S=0,k=0,_=0,E=0;for(let R=0;R=g&&(S=0),k>=w&&(k=0),_>=x&&(_=0),E>=b&&(E=0);return t.makeTensorInfo(n.shape,n.dtype,h)}var L_={kernelName:wn,backendName:"cpu",kernelFunc:U8};function G8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;Y([n],"batchToSpaceND");let i=s.reduce((x,b)=>x*b),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=Ve({inputs:{x:n},backend:t,attrs:{shape:p}}),f=St({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Ve({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Eo({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var B_={kernelName:js,backendName:"cpu",kernelFunc:G8};function H8(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,u=yc(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var z_={kernelName:Zo,backendName:"cpu",kernelFunc:H8};function K8(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.data.get(o.dataId).values,a=t.data.get(n.dataId).values,i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],"int32",Int32Array.from(i))}var V_={kernelName:Xs,backendName:"cpu",kernelFunc:K8};var q8=Ie(go,(r,e)=>{let t=e;return r>t.clipValueMax?t.clipValueMax:r{let{x:e}=r.inputs,t=r.backend,o=new Float32Array(y.sizeFromShape(e.shape)),n=t.data.get(e.dataId),s=n.complexTensorInfos.real,a=n.complexTensorInfos.imag,i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values;for(let u=0;uh.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(h=>h.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(h=>y.sizeFromShape(h.shape)>0);if(p.length===1)return lr({inputs:{x:p[0]},backend:t});if(p[0].dtype==="complex64"){let h=p.map(S=>To({inputs:{input:S},backend:t})),g=p.map(S=>$a({inputs:{input:S},backend:t})),x=mu({inputs:h,backend:t,attrs:{axis:s}}),b=mu({inputs:g,backend:t,attrs:{axis:s}}),w=Kt({inputs:{real:x,imag:b},backend:t});return h.forEach(S=>t.disposeIntermediateTensorInfo(S)),g.forEach(S=>t.disposeIntermediateTensorInfo(S)),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(b),w}let u=p.map(h=>{let x=[-1,y.sizeFromShape(h.shape.slice(s))];return Ve({inputs:{x:h},backend:t,attrs:{shape:x}})}),c=u.map(h=>({vals:t.data.get(h.dataId).values,shape:h.shape}));i=C.computeOutShape(u.map(h=>h.shape),1);let l=u[0].shape[0]===1,m=np(c,i,e[0].dtype,l),d=C.computeOutShape(p.map(h=>h.shape),s),f=t.makeTensorInfo(d,e[0].dtype,m);return u.forEach(h=>t.disposeIntermediateTensorInfo(h)),f}var H_={kernelName:Ys,backendName:"cpu",kernelFunc:mu};function tI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o;Y([n,s],"conv2d");let l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d=m.filterHeight,f=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat==="channelsLast",S=new tt(m.outShape,n.dtype),k=y.computeStrides(n.shape),_=y.computeStrides(s.shape),E=k[0],R=w?k[1]:k[2],D=w?k[2]:1,F=w?1:k[1],O=S.strides[0],M=w?S.strides[1]:S.strides[2],L=w?S.strides[2]:1,B=w?1:S.strides[1],z=t.data.get(n.dataId).values,U=t.data.get(s.dataId).values,j=S.values;for(let H=0;H=m.inHeight)continue;let le=oe*_[0],ye=X+ie*R;for(let _e=0;_e=m.inWidth)continue;let lt=le+Pe*_[1],We=ye+st*D,mt=lt;for(let it=0;it=u.inDepth)continue;let H=U*D[0],X=O+j*R[1];for(let J=0;J=u.inHeight)continue;let ie=H+ee*D[1],le=X+oe*R[2];for(let ye=0;ye=u.inWidth)continue;let st=ie+Fe*D[2],lt=le+Pe*u.inChannels,We=st;for(let mt=0;mtMath.cos(r)),Z_={kernelName:nn,backendName:"cpu",kernelFunc:eY};var tY=Ie(sn,r=>Math.cosh(r)),J_={kernelName:sn,backendName:"cpu",kernelFunc:tY};function rY(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,[c,l,m,d]=n.shape,f=s.shape[0],[h,g]=i,x=me([f,h,g,d],"float32"),b=t.data.get(s.dataId).values,w=t.data.get(a.dataId).values,S=t.data.get(n.dataId).values,k=y.computeStrides(n.shape),_=y.computeStrides(x.shape);for(let E=0;E=c)continue;let B=h>1?(O-D)*(l-1)/(h-1):0,z=g>1?(M-F)*(m-1)/(g-1):0;for(let U=0;U1?D*(l-1)+U*B:.5*(D+O)*(l-1);if(j<0||j>l-1){for(let H=0;H1?F*(m-1)+re*z:.5*(F+M)*(m-1);if(ne<0||ne>m-1){for(let le=0;le1?F*(m-1)+H*z:.5*(F+M)*(m-1);if(X<0||X>m-1){for(let ne=0;nex+f-b-1:(x,b)=>x+b;for(let x=0;xx+f-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${a}`);let i=n.shape[0],p=n.shape[1],u=n.shape[2],c=n.shape[3],l=p*s,m=u*s,d=c/(s*s),f=t.data.get(n.dataId).values,h=new Float32Array(i*l*m*d),g=0;for(let x=0;x`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${m}'`);let d=C.computeConv2DInfo(n.shape,s.shape,a,m,i,u,!0),{filterHeight:f,filterWidth:h,dilationHeight:g,dilationWidth:x,padInfo:b}=d,w=b.left,S=b.top,k=d.outChannels/d.inChannels,_=new tt(d.outShape,n.dtype),E=t.data.get(n.dataId).values,R=t.data.get(s.dataId).values,D=_.values;for(let F=0;F=d.inHeight)continue;let H=U*l[0],X=O+j*c[1];for(let J=0;J=d.inWidth)continue;let ie=H+ee*l[1],le=X+oe*d.inChannels,ye=re,_e=ie;for(let ve=0;ve{let{x:o,filter:n}=r,{strides:s,pad:a,dilations:i}=t,p=e,u=p.data.get(o.dataId).values,c=o.shape.length,l=p.data.get(n.dataId).values,m=n.shape.length,{batchSize:d,inHeight:f,inWidth:h,inChannels:g,outHeight:x,outWidth:b,padInfo:w,strideHeight:S,strideWidth:k,filterHeight:_,filterWidth:E,dilationHeight:R,dilationWidth:D,outShape:F}=C.computeDilation2DInfo(o.shape,n.shape,s,a,"NHWC",i),O=y.sizeFromShape(F),M=F.length,L=y.getArrayFromDType(o.dtype,O);for(let z=0;z=0&&oe=0&&lere&&(re=ve)}}}let ne=y.locToIndex([z,U,H,J],M,y.computeStrides(F));L[ne]=re}}}return{dataId:p.write(y.toTypedArray(L,o.dtype),F,o.dtype),shape:F,dtype:o.dtype}}};var c$={kernelName:Ai,backendName:"cpu",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:S,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:R,outShape:D}=C.computeDilation2DInfo(o.shape,n.shape,a,i,"NHWC",p);y.assert(s.rank===D.length,()=>`Error in ${Ai}, dy must have the same rank as output ${D.length}, but got ${s.rank}`);let F=y.toNestedArray(D,u.data.get(s.dataId).values),O=y.makeZerosNestedTypedArray(n.shape,n.dtype);for(let L=0;L=0&&ee=0&&ieX&&(X=le,J=ne,re=oe)}}}O[J][re][H]+=F[L][B][U][H]}}}return{dataId:u.write(y.toTypedArray(O,o.dtype),n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}};var l$={kernelName:Di,backendName:"cpu",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:o,filter:n,dy:s}=r,{strides:a,pad:i,dilations:p}=t,u=e,c=y.toNestedArray(o.shape,u.data.get(o.dataId).values),l=y.toNestedArray(n.shape,u.data.get(n.dataId).values),{batchSize:m,inHeight:d,inWidth:f,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:S,filterHeight:k,filterWidth:_,dilationHeight:E,dilationWidth:R,outShape:D}=C.computeDilation2DInfo(o.shape,n.shape,a,i,"NHWC",p);y.assert(s.rank===D.length,()=>`Error in ${Di}, dy must have the same rank as output ${D.length}, but got ${s.rank}`);let F=y.toNestedArray(D,u.data.get(s.dataId).values),O=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let L=0;L=0&&ee=0&&ieX&&(X=le,J=ee,re=ie)}}}O[L][J][re][H]+=F[L][B][U][H]}}}return{dataId:u.write(y.toTypedArray(O,o.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};function li(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;Y(n,"sum");let i;n.dtype==="bool"?i=_o({inputs:{x:n},backend:t,attrs:{dtype:"int32"}}):i=lr({inputs:{x:n},backend:t});let p=i.shape.length,u=y.parseAxisParam(s,i.shape),c=C.getAxesPermutation(u,p),l=u,m=i;c!=null&&(m=St({inputs:{x:i},backend:t,attrs:{perm:c}}),l=C.getInnerMostAxes(l.length,p)),C.assertAxesAreInnerMostDims("sum",l,m.shape.length);let[d,f]=C.computeOutAndReduceShapes(m.shape,l),h=C.upcastType(m.dtype,"int32"),g=gc(t,d,h),x=y.sizeFromShape(f),b=t.data.get(g.dataId).values,w=t.data.get(m.dataId).values;for(let S=0;S=0&&(m=li({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var d$={kernelName:Fi,backendName:"cpu",kernelFunc:cY};function lY(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e;Y([o,n],"eluGrad");let s=new Float32Array(y.sizeFromShape(n.shape)),a=t.data.get(n.dataId).values,i=t.data.get(o.dataId).values;for(let p=0;p=0?s[p]=i[p]:s[p]=i[p]*(u+1)}return t.makeTensorInfo(n.shape,"float32",s)}var f$={kernelName:Va,backendName:"cpu",kernelFunc:lY};var mY=C.ERF_P,dY=C.ERF_A1,fY=C.ERF_A2,hY=C.ERF_A3,gY=C.ERF_A4,xY=C.ERF_A5,yY=Ie(Wa,r=>{let e=Math.sign(r),t=Math.abs(r),o=1/(1+mY*t);return e*(1-((((xY*o+gY)*o+hY)*o+fY)*o+dY)*o*Math.exp(-t*t))}),h$={kernelName:Wa,backendName:"cpu",kernelFunc:yY};function vc(r){let{inputs:e,backend:t,attrs:o}=r,{input:n}=e,{dim:s}=o,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Ve({inputs:{x:n},backend:t,attrs:{shape:i}})}var g$={kernelName:Js,backendName:"cpu",kernelFunc:vc};var bY=ze((r,e)=>r/e),zl=je(dn,bY),Vl={kernelName:dn,backendName:"cpu",kernelFunc:zl};function Lf(r,e,t){let o=r.shape,n=o[0],s=o[1],a=t.data.get(r.dataId),i=a.complexTensorInfos.real,p=a.complexTensorInfos.imag,u=[n,s],c=y.sizeFromShape(u),l=y.getTypedArrayFromDType("float32",c),m=y.getTypedArrayFromDType("float32",c);for(let g=0;g{let{image:o}=r,n=t,s=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[a,i,p,u]=o.shape,c=n.data.get(o.dataId).values;for(let m=0;m=0&&w=0,()=>`GatherV2: the index value ${k} is not in [0, ${c-1}]`)}let l=i;i==null&&(l=0);let m=y.sizeFromShape(s.shape),d=C.segment_util.collectGatherOpShapeInfo(n,s,p,l),f=Ve({inputs:{x:n},backend:t,attrs:{shape:[d.batchSize,d.outerSize,d.dimSize,d.sliceSize]}}),h=Ve({inputs:{x:s},backend:t,attrs:{shape:[d.batchSize,m/d.batchSize]}}),g=[d.batchSize,d.outerSize,m/d.batchSize,d.sliceSize],x=t.bufferSync(h),b=t.bufferSync(f),w=kf(b,x,g);return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),t.makeTensorInfo(d.outputShape,w.dtype,w.values)}var I$={kernelName:ta,backendName:"cpu",kernelFunc:_Y};function $Y(r){let{inputs:e,backend:t}=r,{input:o}=e,n=y.sizeFromShape(o.shape),s=o.shape[o.shape.length-1],a=n/s,i=Ve({inputs:{x:o},backend:t,attrs:{shape:[a,s]}}),p=Lf(i,!0,t),u=Ve({inputs:{x:p},backend:t,attrs:{shape:o.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(p),u}var v$={kernelName:Oi,backendName:"cpu",kernelFunc:$Y};var EY=Ie(kn,r=>Number.isFinite(r)?1:0,"bool"),k$={kernelName:kn,backendName:"cpu",kernelFunc:EY};var RY=Ie(Nn,r=>Math.abs(r)===1/0?1:0,"bool"),N$={kernelName:Nn,backendName:"cpu",kernelFunc:RY};var DY=Ie(Tn,r=>Number.isNaN(r)?1:0,"bool"),T$={kernelName:Tn,backendName:"cpu",kernelFunc:DY};function AY(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=Nf(o,n,s);return e.makeTensorInfo([a.length],"float32",a)}var _$={kernelName:Rn,backendName:"cpu",kernelFunc:AY};var FY=Ie(An,r=>Math.log1p(r)),$$={kernelName:An,backendName:"cpu",kernelFunc:FY};var PY=ze((r,e)=>r&&e),OY=je(Fn,PY,null,"bool"),E$={kernelName:Fn,backendName:"cpu",kernelFunc:OY};var MY=Ie(Pn,r=>r?0:1,"bool"),R$={kernelName:Pn,backendName:"cpu",kernelFunc:MY};var LY=ze((r,e)=>r||e),BY=je(On,LY,null,"bool"),D$={kernelName:On,backendName:"cpu",kernelFunc:BY};function zY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;Y(n,"LRN");let u=n.shape[3],c=u-1,l=t.data.get(n.dataId).values,m=y.sizeFromShape(n.shape),d=new Float32Array(m);function f(h){let g=h%u,x=h-g+Math.max(0,g-s),b=h-g+Math.min(g+s,c),w=0;for(;x<=b;x++){let S=l[x];w+=S*S}return w}for(let h=0;h`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p),l;if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))l=lr({inputs:{x:n},backend:t});else{let m=t.data.get(n.dataId).values,d=y.computeStrides(n.shape),f=Ic(m,n.shape,n.dtype,d,c,"max");l=t.makeTensorInfo(c.outShape,n.dtype,f.values)}return l}var O$={kernelName:zn,backendName:"cpu",kernelFunc:WY};function UY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o;Y(n,"maxPool3d");let c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.data.get(n.dataId).values,m=Mf(l,n.shape,n.dtype,y.computeStrides(n.shape),c,"max");return t.makeTensorInfo(m.shape,"float32",m.values)}var M$={kernelName:ra,backendName:"cpu",kernelFunc:UY};function GY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o;Y([n,s],"maxPool3DGrad");let c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=t.bufferSync(s),m=A_(l,c),d=c.strideDepth,f=c.strideHeight,h=c.strideWidth,g=c.dilationDepth,x=c.dilationHeight,b=c.dilationWidth,w=c.effectiveFilterDepth,S=c.effectiveFilterHeight,k=c.effectiveFilterWidth,_=w-1-c.padInfo.front,E=k-1-c.padInfo.left,R=S-1-c.padInfo.top,D=me(s.shape,"float32"),F=t.bufferSync(n);for(let O=0;O=c.outDepth||Math.floor(re)!==re))for(let ne=0;ne=c.outHeight||Math.floor(ee)!==ee))for(let oe=0;oe=c.outWidth||Math.floor(ie)!==ie)continue;let le=w*S*k-1-m.get(O,re,ee,ie,M),ye=J*S*k+ne*k+oe,_e=le===ye?1:0;if(_e===0)continue;let ve=F.get(O,re,ee,ie,M);X+=ve*_e}}}D.set(X,O,L,B,z,M)}return t.makeTensorInfo(D.shape,D.dtype,D.values)}var L$={kernelName:Li,backendName:"cpu",kernelFunc:GY};function HY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;Y([s,a],"maxPoolGrad");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=C.computePool2DInfo(i.shape,p,u,1,c,l),d=t.data.get(i.dataId).values,f=me(m.outShape,i.dtype,Of(d,i.shape,i.dtype,m).values),h=m.strideHeight,g=m.strideWidth,x=m.dilationHeight,b=m.dilationWidth,w=m.effectiveFilterHeight,S=m.effectiveFilterWidth,k=S-1-m.padInfo.left,_=w-1-m.padInfo.top,E=me(i.shape,"float32"),R=t.data.get(n.dataId).values,D=me(n.shape,"float32",R);for(let F=0;F=m.outHeight||Math.floor(H)!==H))for(let X=0;X=m.outWidth||Math.floor(J)!==J)continue;let re=w*S-1-f.get(F,H,J,O),ne=j*S+X,ee=re===ne?1:0;if(ee===0)continue;let oe=D.get(F,H,J,O);U+=oe*ee}}E.set(U,F,M,L,O)}return t.makeTensorInfo(E.shape,E.dtype,E.values)}var B$={kernelName:Hp,backendName:"cpu",kernelFunc:HY};function z$(r,e,t,o,n){let s=y.computeStrides(e),a=Ic(r,e,t,s,n,"max"),i=Of(r,e,t,n,!0,o);return[a.values,i.values]}var V$={kernelName:Bi,backendName:"cpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;Y(o,"MaxPoolWithArgmax");let u=p.data.get(o.dataId).values,c=C.computePool2DInfo(o.shape,n,s,[1,1],a),[l,m]=z$(u,o.shape,o.dtype,i,c),d=p.write(l,c.outShape,o.dtype),f=p.write(m,c.outShape,o.dtype);return[{dataId:d,shape:c.outShape,dtype:o.dtype},{dataId:f,shape:c.outShape,dtype:"int32"}]}};function KY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=y.parseAxisParam(s,n.shape),u=C.computeOutAndReduceShapes(n.shape,i)[1],c=y.sizeFromShape(u),l=[],m=t.makeTensorInfo([],"float32",new Float32Array([c]));l.push(m);let d=_o({inputs:{x:n},backend:t,attrs:{dtype:"float32"}});l.push(d);let f=zl({inputs:{a:d,b:m},backend:t});l.push(f);let h=li({inputs:{x:f},backend:t,attrs:{axis:s,keepDims:a}});return l.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}var W$={kernelName:Vn,backendName:"cpu",kernelFunc:KY};function qY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;Y(n,"min");let i=y.parseAxisParam(s,n.shape),p=i,u=C.getAxesPermutation(p,n.shape.length),c=n;u!=null&&(c=St({inputs:{x:n},backend:t,attrs:{perm:u}}),p=C.getInnerMostAxes(p.length,n.shape.length)),C.assertAxesAreInnerMostDims("min",p,c.shape.length);let[l,m]=C.computeOutAndReduceShapes(c.shape,p),d=y.sizeFromShape(m),f=y.makeZerosTypedArray(y.sizeFromShape(l),c.dtype),h=t.data.get(c.dataId).values;for(let x=0;xw[0]+n.shape[S]+w[1]),p=s.map(w=>w[0]),u=s.map((w,S)=>w[0]+n.shape[S]),c=a==="reflect"?0:1,l=t.data.get(n.dataId).values,m=n.shape.length,d=y.computeStrides(n.shape),f=y.sizeFromShape(i),h=i.length,g=y.computeStrides(i),x=y.getTypedArrayFromDType(n.dtype,f);for(let w=0;w=u[_]&&(S[_]=(u[_]-1)*2-S[_]+c);S=S.map((_,E)=>_-p[E]);let k=y.locToIndex(S,m,d);x[w]=l[k]}return{dataId:t.write(x,i,n.dtype),shape:i,dtype:n.dtype}}var G$={kernelName:Gn,backendName:"cpu",kernelFunc:jY};var XY=ze((r,e)=>{let t=r%e;return r<0&&e<0||r>=0&&e>=0?t:(t+e)%e}),YY=je(Ga,XY),H$={kernelName:Ga,backendName:"cpu",kernelFunc:YY};var q$=Bp(Rw());function sI(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=n.shape.length,i=s;if(i===-1&&(i=a-1),i!==a-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${a} and dim was ${i}`);let p=y.parseAxisParam([i],n.shape),u=nI({inputs:{x:n},backend:t,attrs:{reductionIndices:p,keepDims:!1}}),c=C.expandShapeToKeepDim(u.shape,p),l=Ve({inputs:{x:u},backend:t,attrs:{shape:c}}),m=Ll({inputs:{a:n,b:l},backend:t}),d=$S({inputs:{x:m},backend:t}),f=li({inputs:{x:d},backend:t,attrs:{axis:p,keepDims:!1}}),h=Ve({inputs:{x:f},backend:t,attrs:{shape:c}}),g=zl({inputs:{a:d,b:h},backend:t});return t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(h),g}var K$={kernelName:bs,backendName:"cpu",kernelFunc:sI};function QY(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;Y(n,"multinomial");let p=i?n:sI({inputs:{logits:n},backend:t,attrs:{dim:-1}}),u=p.shape[0],c=p.shape[1],l=t.data.get(p.dataId).values,m=[u,s],d=y.makeZerosTypedArray(y.sizeFromShape(m),"int32");for(let f=0;f=0&&l[m]{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=vc({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=mu({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var rE={kernelName:sa,backendName:"cpu",kernelFunc:aI};function sQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;Y(n,"pad");let i=s.map((b,w)=>b[0]+n.shape[w]+b[1]),p=s.map(b=>b[0]),u=t.data.get(n.dataId).values,c=y.sizeFromShape(n.shape),l=n.shape.length,m=y.computeStrides(n.shape),d=y.sizeFromShape(i),f=i.length,h=y.computeStrides(i),g=y.getTypedArrayFromDType(n.dtype,d);a!==0&&g.fill(a);for(let b=0;b_+p[E]),k=y.locToIndex(S,f,h);g[k]=u[b]}return{dataId:t.write(g,i,n.dtype),shape:i,dtype:n.dtype}}var Bf={kernelName:Qn,backendName:"cpu",kernelFunc:sQ};var aQ=ze((r,e)=>Math.pow(r,e)),iQ=je(Zn,aQ),oE={kernelName:Zn,backendName:"cpu",kernelFunc:iQ};function uQ(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.data.get(x.dataId).values),u=n.map(x=>x.shape),c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,[m,d,f]=_f(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],"int32",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var nE={kernelName:Kp,backendName:"cpu",kernelFunc:uQ};function pQ(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=$f(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],"int32",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var sE={kernelName:qp,backendName:"cpu",kernelFunc:pQ};function cQ(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.data.get(n.dataId).values,c=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values,m=i.map(g=>t.data.get(g.dataId).values),d=i.map(g=>g.shape),[f,h]=Ef(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var aE={kernelName:jp,backendName:"cpu",kernelFunc:cQ};function lQ(r){let{backend:e,attrs:t}=r,{start:o,stop:n,dtype:s,step:a}=t,i=ap(o,n,a,s);return e.makeTensorInfo([i.length],s,i)}var iE={kernelName:aa,backendName:"cpu",kernelFunc:lQ};var mQ=Ie(ts,r=>1/r),uE={kernelName:ts,backendName:"cpu",kernelFunc:mQ};function dQ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o;Y(n,"resizeBilinear");let p=y.computeStrides(n.shape),[u,c]=i,[l,m,d,f]=n.shape,h=t.data.get(n.dataId).values,g=new Float32Array(y.sizeFromShape([l,u,c,f])),x=[s&&u>1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],w=0,S=x[0]/b[0],k=x[1]/b[1];for(let _=0;_1?u-1:u,a&&d>1?c-1:c],g=[a&&m>1?m-1:m,a&&d>1?d-1:d],x=h[0]/g[0],b=h[1]/g[1],w=t.data.get(s.dataId).values,S=0;for(let k=0;k1?m-1:m,s&&c>1?d-1:d],b=[s&&u>1?u-1:u,s&&c>1?c-1:c],w=x[0]/b[0],S=x[1]/b[1],k=0;for(let _=0;_1?c-1:c,a&&f>1?l-1:l],b=[a&&d>1?d-1:d,a&&f>1?f-1:f],w=x[0]/b[0],S=x[1]/b[1],k=1/w,_=1/S,E=Math.ceil(k)*2+2,R=Math.ceil(_)*2+2;for(let D=0;D=d)continue;let ee=F+ne*p[1],oe=ne*w,ie=Math.min(c-1,a?Math.round(oe):Math.floor(oe));if(O===ie)for(let le=0;le=f)continue;let _e=ee+ye*p[2],ve=ye*S,Fe=Math.min(l-1,a?Math.round(ve):Math.floor(ve));z===Fe&&(J+=g[_e+X])}}h[U+X]=J}}}}return t.makeTensorInfo(n.shape,n.dtype,h)}var mE={kernelName:Ka,backendName:"cpu",kernelFunc:gQ};function xQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o;Y(n,"reverse");let a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return lr({inputs:{x:n},backend:t});let p=new tt(n.shape,n.dtype),u=t.bufferSync(n);for(let c=0;cm[d]=n.shape[d]-1-m[d]),p.set(u.get(...m),...l)}return t.makeTensorInfo(p.shape,p.dtype,p.values)}var dE={kernelName:as,backendName:"cpu",kernelFunc:xQ};var fE={kernelName:_s,backendName:"cpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=y.getTypedArrayFromDType(o.dtype,y.sizeFromShape(o.shape)),[u,c,l,m]=o.shape,[d,f]=C.getImageCenter(a,c,l),h=255,g=Math.sin(n),x=Math.cos(n),b=i.data.get(o.dataId).values;for(let S=0;S=0&&B=0&&z{let e=Math.floor(r);return r-e<.5?Math.floor(r):r-e>.5?Math.ceil(r):e%2===0?e:e+1}),hE={kernelName:is,backendName:"cpu",kernelFunc:yQ};function bQ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=!0,d=t.bufferSync(n),f=t.bufferSync(s),h=Fs(d,f,a,l,u,p,i,c,0,m);return t.makeTensorInfo(a,h.dtype,h.values)}var gE={kernelName:ps,backendName:"cpu",kernelFunc:bQ};function CQ(r,e){let t=0,o=r.length,n=0;for(;t1||n.shape.length===1?1:y.sizeFromShape(n.shape.slice(1));for(let f=0;fr>=0?kQ*r:vQ*(Math.exp(r)-1)),CE={kernelName:ms,backendName:"cpu",kernelFunc:NQ};var TQ=Ie(fs,r=>r<0?-1:r>0?1:0),wE={kernelName:fs,backendName:"cpu",kernelFunc:TQ};var _Q=Ie(ds,r=>Math.sin(r)),SE={kernelName:ds,backendName:"cpu",kernelFunc:_Q};var $Q=Ie(ja,r=>Math.sinh(r)),IE={kernelName:ja,backendName:"cpu",kernelFunc:$Q};var EQ=11920928955078125e-23,vE=Math.log(EQ)+2,RQ=Ie(gs,r=>{let e=r>-vE,t=rNumber(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var n$={kernelName:hi,backendName:"cpu",kernelFunc:S5};function w5(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape + ${a.shape}`);let i=t.data.get(o.dataId).values,p=t.data.get(n.dataId).values,u=t.data.get(s.dataId).values,c=t.data.get(a.dataId).values[0],[l,m,d,f,h]=Rf(i,o.shape,o.dtype,p,n.dtype,u,c);return[t.makeTensorInfo(m,o.dtype,l),t.makeTensorInfo([m[0]],n.dtype,d),t.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var TE={kernelName:Vi,backendName:"cpu",kernelFunc:AQ};function FQ(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape - ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.data.get(n.dataId).values),i=t.data.get(o.dataId).values,p=Array.from(t.data.get(s.dataId).values),[u,c,l]=xf(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var s$={kernelName:va,backendName:"cpu",kernelFunc:w5};function I5(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.data.get(n.dataId).values),i=t.data.get(o.dataId).values,p=Array.from(t.data.get(s.dataId).values),[u,c,l]=Df(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var _E={kernelName:Xa,backendName:"cpu",kernelFunc:FQ};function PQ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=Qp(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var a$={kernelName:gi,backendName:"cpu",kernelFunc:I5};function v5(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=wc(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var $E={kernelName:Wi,backendName:"cpu",kernelFunc:PQ};function OQ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=Qp(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var i$={kernelName:xi,backendName:"cpu",kernelFunc:v5};function k5(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1,f=t.bufferSync(n),h;switch(s.dtype){case"bool":{let g=t.bufferSync(s),x=!!t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case"float32":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case"int32":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Va(f,g,i,m,c,u,p,l,x,d);break}case"string":{let g=t.bufferSync(s),x=y.decodeString(t.data.get(a.dataId).values[0]);h=Va(f,g,i,m,c,u,p,l,x,d);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return t.makeTensorInfo(i,h.dtype,h.values)}var u$={kernelName:yi,backendName:"cpu",kernelFunc:k5};function N5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=To({inputs:{x:n},backend:t,attrs:{begin:u,size:m}});return u[i]+=l,d})}var p$={kernelName:Rs,backendName:"cpu",kernelFunc:N5};var c$={kernelName:bi,backendName:"cpu",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e;j(t,"square");let n=o.data.get(t.dataId).values,s=new Float32Array(n.length);for(let i=0;i{let t=e;return isNaN(r)?NaN:r>0?1:t.alpha}),l$={kernelName:fo,backendName:"cpu",kernelFunc:T5};function _5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o;j(n,"stridedSlice");let{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Le({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=To({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=Le({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(E)}else{let _=t.bufferSync(n),E=yf(d,_,w,b);k=t.makeTensorInfo(f,E.dtype,E.values)}return k}var m$={kernelName:Xn,backendName:"cpu",kernelFunc:_5};function $5(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.data.get(c.dataId).values,d=t.data.get(l.dataId).values,[f,h]=Eu(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var d$={kernelName:Ds,backendName:"cpu",kernelFunc:$5};function E5(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values[0],[u,c,l]=Au(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],"int32",u),t.makeTensorInfo([m],"string",c),t.makeTensorInfo([2],"int32",new Int32Array(l))]}var f$={kernelName:Ci,backendName:"cpu",kernelFunc:E5};function A5(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(n<=0)throw new Error("Number of buckets must be at least 1");let a=t.data.get(s.dataId).values,i=Ru(a,n);return t.makeTensorInfo(s.shape,"int32",i)}var h$={kernelName:Si,backendName:"cpu",kernelFunc:A5};var R5=we(Qn,r=>Math.tan(r)),g$={kernelName:Qn,backendName:"cpu",kernelFunc:R5};var D5=we(Zn,r=>Math.tanh(r)),x$={kernelName:Zn,backendName:"cpu",kernelFunc:D5};function F5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reps:s}=o;j(n,"tile");let a=bf(t.bufferSync(n),s);return t.makeTensorInfo(a.shape,a.dtype,a.values)}var y$={kernelName:to,backendName:"cpu",kernelFunc:F5};function O5(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{k:s,sorted:a}=o;j(n,"topk");let i=t.data.get(n.dataId).values,[p,u]=Cf(i,n.shape,n.dtype,s,a);return[t.makeTensorInfo(p.shape,p.dtype,p.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var b$={kernelName:Jn,backendName:"cpu",kernelFunc:O5};function P5(r){let{inputs:e,attrs:t,backend:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=t,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=y.computeStrides(n.shape),b=x[0],C=x[1],w=x[2],k=y.computeStrides(g),_=k[0],E=k[1],A=k[2],R=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(g));R.fill(p);let D=o.data.get(n.dataId).values,P=o.data.get(s.dataId).values;for(let L=0;Le-1)if(e<=1)t=0;else{let o=2*e;t-=o*Math.trunc(t/o),t>=e&&(t=o-t-1)}return y.clamp(0,t,e-1)}function L5(r,e){let t=r;if(t<0)if(e<=1)t=0;else{let o=e-1;t+=e*(Math.trunc(-t/o)+1)}else if(t>e-1)if(e<=1)t=0;else{let o=e-1;t-=e*Math.trunc(t/o)}return y.clamp(0,t,e-1)}function B5(r,e){return r}function V5(r,e){return y.clamp(0,r,e-1)}function wl(r,e,t,o,n,s,a,i,p,u,c){let l=a*o+i*n+p*s+u;return 0<=i&&it.disposeIntermediateTensorInfo(f)),d}var v$={kernelName:Tp,backendName:"cpu",kernelFunc:H5};var K5=[YT,iT,QT,ZT,mT,JT,e2,t2,r2,o2,n2,s2,a2,i2,u2,c2,l2,m2,d2,XT,f2,h2,g2,x2,lT,dT,y2,uT,b2,S2,w2,I2,v2,k2,N2,T2,_2,$2,E2,A2,R2,D2,F2,O2,P2,M2,L2,B2,V2,z2,U2,UT,G2,fT,H2,hT,K2,gT,q2,j2,X2,xT,Y2,Q2,Z2,J2,e_,yT,bT,pT,t_,C2,r_,o_,n_,GT,CT,ST,s_,wT,a_,i_,u_,p_,c_,l_,m_,IT,d_,f_,h_,g_,y_,b_,C_,vT,S_,w_,k_,kT,NT,N_,T_,__,TT,$_,R_,D_,kf,F_,HT,$T,O_,P_,M_,L_,cT,bl,B_,KT,qT,jT,V_,z_,W_,U_,G_,H_,K_,FT,q_,X_,Y_,Q_,PT,Z_,J_,e$,MT,I_,r$,o$,n$,s$,a$,i$,u$,p$,BT,c$,VT,l$,m$,d$,f$,h$,zT,W2,g$,x$,y$,b$,S$,_T,w$,I$,v$,E_];for(let r of K5)ka(r);var nc={};Ge(nc,{assertNotComplex:()=>us,bindCanvasToFramebuffer:()=>t8,bindColorTextureToFramebuffer:()=>Nl,bindTextureToProgramUniformSampler:()=>nw,bindTextureUnit:()=>_$,bindVertexBufferToProgramAttribute:()=>Af,callAndCheck:()=>pe,canBeRepresented:()=>KS,createFragmentShader:()=>jS,createFramebuffer:()=>tw,createProgram:()=>XS,createStaticIndexBuffer:()=>ZS,createStaticVertexBuffer:()=>QS,createTexture:()=>JS,createVertexShader:()=>qS,getBatchDim:()=>Ua,getExtensionOrThrow:()=>tc,getFramebufferErrorMessage:()=>$$,getMaxTexturesInShader:()=>iw,getNumChannels:()=>J5,getProgramUniformLocation:()=>ow,getProgramUniformLocationOrThrow:()=>rw,getRowsCols:()=>Ga,getShapeAs3D:()=>oc,getTextureShapeFromLogicalShape:()=>sw,getWebGLDisjointQueryTimerVersion:()=>uw,getWebGLErrorMessage:()=>T$,getWebGLMaxTextureSize:()=>aw,hasExtension:()=>Wr,isCapableOfRenderingToFloatTexture:()=>pw,isDownloadFloatTextureEnabled:()=>cw,isReshapeFree:()=>Bi,isWebGLFenceEnabled:()=>lw,isWebGLVersionEnabled:()=>Df,linkProgram:()=>YS,logShaderSourceAndInfoLog:()=>Ef,resetMaxTextureSize:()=>r8,resetMaxTexturesInShader:()=>o8,unbindColorTextureFromFramebuffer:()=>Rf,unbindTextureUnit:()=>e8,validateFramebuffer:()=>rc,validateProgram:()=>kl,validateTextureSize:()=>ew});var Fu={},Nf={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function US(r,e){Fu[r]=e}function zr(r,e){if(!(r in Fu)||e!=null){let o=j5(r,e);if(o!==null)Fu[r]=o;else return console.log("Could not get context for WebGL version",r),null}let t=Fu[r];return t==null||t.isContextLost()?(delete Fu[r],zr(r)):(t.disable(t.DEPTH_TEST),t.disable(t.STENCIL_TEST),t.disable(t.BLEND),t.disable(t.DITHER),t.disable(t.POLYGON_OFFSET_FILL),t.disable(t.SAMPLE_COVERAGE),t.enable(t.SCISSOR_TEST),t.enable(t.CULL_FACE),t.cullFace(t.BACK),Fu[r])}function q5(r){if(typeof OffscreenCanvas!="undefined"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function j5(r,e){if(r!==1&&r!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let t=e==null?q5(r):e;return t.addEventListener("webglcontextlost",o=>{o.preventDefault(),delete Fu[r]},!1),O().getBool("SOFTWARE_WEBGL_ENABLED")&&(Nf.failIfMajorPerformanceCaveat=!1),r===1?t.getContext("webgl",Nf)||t.getContext("experimental-webgl",Nf):t.getContext("webgl2",Nf)}var Li;(function(r){r[r.DENSE=0]="DENSE",r[r.SHARED_BATCH=1]="SHARED_BATCH"})(Li||(Li={}));var ur;(function(r){r[r.RENDER=0]="RENDER",r[r.UPLOAD=1]="UPLOAD",r[r.PIXELS=2]="PIXELS",r[r.DOWNLOAD=3]="DOWNLOAD"})(ur||(ur={}));var Zt;(function(r){r[r.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",r[r.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",r[r.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",r[r.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",r[r.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(Zt||(Zt={}));function Ou(r,e){return[e,r]}function k$(r,e){return r*e}function Il(r){let e=y.sizeFromShape(r),t=Math.ceil(e/4);return y.sizeToSquarishShape(t)}function Qs(r,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(r/2))]}function N$(r,e){let[t,o]=Qs(r,e);return t*o*4}function vl(r,e){let t=r,o,n,s,a,i,p,u,c,l,m;return O().getNumber("WEBGL_VERSION")===2?(o=t.R32F,n=t.R16F,s=t.RGBA16F,a=t.RGBA32F,i=t.RED,u=4,c=1,l=t.HALF_FLOAT,m=t.FLOAT,p=t.RGBA8):(o=r.RGBA,n=r.RGBA,s=r.RGBA,a=t.RGBA,i=r.RGBA,u=4,c=4,l=e!=null?e.HALF_FLOAT_OES:null,m=r.FLOAT,p=r.RGBA),{internalFormatFloat:o,internalFormatHalfFloat:n,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:a,textureFormatFloat:i,downloadTextureFormat:p,downloadUnpackNumChannels:u,defaultNumChannels:c,textureTypeHalfFloat:l,textureTypeFloat:m}}function pe(r,e){let t=e();return O().getBool("DEBUG")&&X5(r),t}function X5(r){let e=r.getError();if(e!==r.NO_ERROR)throw new Error("WebGL Error: "+T$(r,e))}var Y5=596e-10,Q5=65504;function KS(r){return!!(O().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||r===0||Y5r.getExtension(e),'Extension "'+e+'" not supported on this browser.')}function qS(r,e){let t=Wa(r,()=>r.createShader(r.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(pe(r,()=>r.shaderSource(t,e)),pe(r,()=>r.compileShader(t)),r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(t)),new Error("Failed to compile vertex shader.");return t}function jS(r,e){let t=Wa(r,()=>r.createShader(r.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(pe(r,()=>r.shaderSource(t,e)),pe(r,()=>r.compileShader(t)),O().get("ENGINE_COMPILE_ONLY"))return t;if(r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw Ef(e,r.getShaderInfoLog(t)),new Error("Failed to compile fragment shader.");return t}var Z5=/ERROR: [0-9]+:([0-9]+):/g;function Ef(r,e){let t=Z5.exec(e);if(t==null){console.log(`Couldn't parse line number in error: ${e}`),console.log(r);return}let o=+t[1],n=r.split(` + ${s.shape}`);if(n.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let a=t.data.get(o.dataId).values,i=t.data.get(n.dataId).values,p=t.data.get(s.dataId).values,[u,c]=wc(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var EE={kernelName:Ui,backendName:"cpu",kernelFunc:OQ};function MQ(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1,f=t.bufferSync(n),h;switch(s.dtype){case"bool":{let g=t.bufferSync(s),x=!!t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case"float32":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case"int32":{let g=t.bufferSync(s),x=t.data.get(a.dataId).values[0];h=Fs(f,g,i,m,c,u,p,l,x,d);break}case"string":{let g=t.bufferSync(s),x=y.decodeString(t.data.get(a.dataId).values[0]);h=Fs(f,g,i,m,c,u,p,l,x,d);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return t.makeTensorInfo(i,h.dtype,h.values)}var RE={kernelName:Cs,backendName:"cpu",kernelFunc:MQ};function LQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Eo({inputs:{x:n},backend:t,attrs:{begin:u,size:m}});return u[i]+=l,d})}var DE={kernelName:la,backendName:"cpu",kernelFunc:LQ};var AE={kernelName:Gi,backendName:"cpu",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e;Y(t,"square");let n=o.data.get(t.dataId).values,s=new Float32Array(n.length);for(let i=0;i{let t=e;return isNaN(r)?NaN:r>0?1:t.alpha}),FE={kernelName:yo,backendName:"cpu",kernelFunc:BQ};function zQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o;Y(n,"stridedSlice");let{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Ve({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=Eo({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=Ve({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(E)}else{let _=t.bufferSync(n),E=Af(d,_,S,b);k=t.makeTensorInfo(f,E.dtype,E.values)}return k}var PE={kernelName:Ss,backendName:"cpu",kernelFunc:zQ};function VQ(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.data.get(c.dataId).values,d=t.data.get(l.dataId).values,[f,h]=up(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var OE={kernelName:ma,backendName:"cpu",kernelFunc:VQ};function WQ(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.data.get(s.dataId).values,p=t.data.get(a.dataId).values[0],[u,c,l]=pp(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],"int32",u),t.makeTensorInfo([m],"string",c),t.makeTensorInfo([2],"int32",new Int32Array(l))]}var ME={kernelName:Hi,backendName:"cpu",kernelFunc:WQ};function UQ(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(n<=0)throw new Error("Number of buckets must be at least 1");let a=t.data.get(s.dataId).values,i=cp(a,n);return t.makeTensorInfo(s.shape,"int32",i)}var LE={kernelName:Ki,backendName:"cpu",kernelFunc:UQ};var GQ=Ie(vs,r=>Math.tan(r)),BE={kernelName:vs,backendName:"cpu",kernelFunc:GQ};var HQ=Ie(ks,r=>Math.tanh(r)),zE={kernelName:ks,backendName:"cpu",kernelFunc:HQ};function KQ(r){let{inputs:e,backend:t}=r,{tensor:o,indices:n,updates:s}=e,{sliceRank:a,numUpdates:i,sliceSize:p,strides:u,outputSize:c}=C.calculateShapes(s,n,o.shape),l=!1,m=t.bufferSync(n),d=t.bufferSync(s),f=t.bufferSync(o),h=Fs(m,d,o.shape,c,p,i,a,u,f,l);return t.makeTensorInfo(o.shape,h.dtype,h.values)}var VE={kernelName:cs,backendName:"cpu",kernelFunc:KQ};function qQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reps:s}=o;Y(n,"tile");let a=Ff(t.bufferSync(n),s);return t.makeTensorInfo(a.shape,a.dtype,a.values)}var WE={kernelName:so,backendName:"cpu",kernelFunc:qQ};function jQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{k:s,sorted:a}=o;Y(n,"topk");let i=t.data.get(n.dataId).values,[p,u]=Pf(i,n.shape,n.dtype,s,a);return[t.makeTensorInfo(p.shape,p.dtype,p.values),t.makeTensorInfo(u.shape,u.dtype,u.values)]}var UE={kernelName:Ns,backendName:"cpu",kernelFunc:jQ};function XQ(r){let{inputs:e,attrs:t,backend:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=t,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=y.computeStrides(n.shape),b=x[0],w=x[1],S=x[2],k=y.computeStrides(g),_=k[0],E=k[1],R=k[2],D=y.getTypedArrayFromDType(n.dtype,y.sizeFromShape(g));D.fill(p);let F=o.data.get(n.dataId).values,O=o.data.get(s.dataId).values;for(let L=0;Le-1)if(e<=1)t=0;else{let o=2*e;t-=o*Math.trunc(t/o),t>=e&&(t=o-t-1)}return y.clamp(0,t,e-1)}function QQ(r,e){let t=r;if(t<0)if(e<=1)t=0;else{let o=e-1;t+=e*(Math.trunc(-t/o)+1)}else if(t>e-1)if(e<=1)t=0;else{let o=e-1;t-=e*Math.trunc(t/o)}return y.clamp(0,t,e-1)}function ZQ(r,e){return r}function JQ(r,e){return y.clamp(0,r,e-1)}function Gl(r,e,t,o,n,s,a,i,p,u,c){let l=a*o+i*n+p*s+u;return 0<=i&&it.disposeIntermediateTensorInfo(f)),d}var jE={kernelName:ji,backendName:"cpu",kernelFunc:n7};var s7=[C_,_T,w_,S_,AT,I_,v_,k_,N_,T_,__,$_,E_,R_,D_,F_,P_,O_,M_,b_,L_,B_,z_,FT,V_,DT,PT,W_,$T,U_,H_,K_,q_,j_,X_,Y_,Q_,Z_,J_,e$,t$,r$,o$,n$,s$,a$,i$,u$,p$,c$,l$,d$,d_,f$,OT,h$,MT,g$,LT,x$,y$,b$,BT,zT,C$,w$,S$,I$,VT,WT,ET,v$,G_,k$,N$,T$,f_,UT,GT,_$,HT,$$,E$,R$,D$,A$,F$,P$,KT,O$,M$,L$,B$,V$,W$,U$,qT,G$,H$,j$,jT,XT,X$,Y$,Q$,YT,Z$,tE,rE,Bf,oE,h_,ZT,nE,sE,aE,iE,RT,Vl,uE,g_,x_,y_,pE,cE,lE,mE,dE,fE,hE,o_,gE,yE,bE,CE,s_,wE,SE,IE,a_,K$,kE,NE,TE,_E,$E,EE,RE,DE,u_,AE,p_,c_,FE,PE,OE,ME,LE,l_,m$,BE,zE,VE,WE,UE,HE,QT,KE,qE,jE,J$];for(let r of s7)Ya(r);var _c={};He(_c,{assertNotComplex:()=>Ps,bindCanvasToFramebuffer:()=>f7,bindColorTextureToFramebuffer:()=>jl,bindTextureToProgramUniformSampler:()=>SI,bindTextureUnit:()=>ZE,bindVertexBufferToProgramAttribute:()=>Hf,callAndCheck:()=>ce,canBeRepresented:()=>cI,createFragmentShader:()=>mI,createFramebuffer:()=>bI,createProgram:()=>dI,createStaticIndexBuffer:()=>gI,createStaticVertexBuffer:()=>hI,createTexture:()=>xI,createVertexShader:()=>lI,getBatchDim:()=>di,getExtensionOrThrow:()=>kc,getFramebufferErrorMessage:()=>JE,getMaxTexturesInShader:()=>kI,getNumChannels:()=>m7,getProgramUniformLocation:()=>wI,getProgramUniformLocationOrThrow:()=>CI,getRowsCols:()=>fi,getShapeAs3D:()=>Tc,getTextureShapeFromLogicalShape:()=>II,getWebGLDisjointQueryTimerVersion:()=>NI,getWebGLErrorMessage:()=>QE,getWebGLMaxTextureSize:()=>vI,hasExtension:()=>Hr,isCapableOfRenderingToFloatTexture:()=>TI,isDownloadFloatTextureEnabled:()=>_I,isReshapeFree:()=>fu,isWebGLFenceEnabled:()=>$I,isWebGLVersionEnabled:()=>qf,linkProgram:()=>fI,logShaderSourceAndInfoLog:()=>Gf,resetMaxTextureSize:()=>h7,resetMaxTexturesInShader:()=>g7,unbindColorTextureFromFramebuffer:()=>Kf,unbindTextureUnit:()=>d7,validateFramebuffer:()=>Nc,validateProgram:()=>ql,validateTextureSize:()=>yI});var dp={},zf={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function iI(r,e){dp[r]=e}function Gr(r,e){if(!(r in dp)||e!=null){let o=i7(r,e);if(o!==null)dp[r]=o;else return console.log("Could not get context for WebGL version",r),null}let t=dp[r];return t==null||t.isContextLost()?(delete dp[r],Gr(r)):(t.disable(t.DEPTH_TEST),t.disable(t.STENCIL_TEST),t.disable(t.BLEND),t.disable(t.DITHER),t.disable(t.POLYGON_OFFSET_FILL),t.disable(t.SAMPLE_COVERAGE),t.enable(t.SCISSOR_TEST),t.enable(t.CULL_FACE),t.cullFace(t.BACK),dp[r])}function a7(r){if(!P().getBool("IS_SAFARI")&&typeof OffscreenCanvas!="undefined"&&r===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function i7(r,e){if(r!==1&&r!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");let t=e==null?a7(r):e;return t.addEventListener("webglcontextlost",o=>{o.preventDefault(),delete dp[r]},!1),P().getBool("SOFTWARE_WEBGL_ENABLED")&&(zf.failIfMajorPerformanceCaveat=!1),r===1?t.getContext("webgl",zf)||t.getContext("experimental-webgl",zf):t.getContext("webgl2",zf)}var du;(function(r){r[r.DENSE=0]="DENSE",r[r.SHARED_BATCH=1]="SHARED_BATCH"})(du||(du={}));var mr;(function(r){r[r.RENDER=0]="RENDER",r[r.UPLOAD=1]="UPLOAD",r[r.PIXELS=2]="PIXELS",r[r.DOWNLOAD=3]="DOWNLOAD"})(mr||(mr={}));var er;(function(r){r[r.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",r[r.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",r[r.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",r[r.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",r[r.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(er||(er={}));function fp(r,e){return[e,r]}function XE(r,e){return r*e}function Hl(r){let e=y.sizeFromShape(r),t=Math.ceil(e/4);return y.sizeToSquarishShape(t)}function Ea(r,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(r/2))]}function YE(r,e){let[t,o]=Ea(r,e);return t*o*4}function Kl(r,e){let t=r,o,n,s,a,i,p,u,c,l,m;return P().getNumber("WEBGL_VERSION")===2?(o=t.R32F,n=t.R16F,s=t.RGBA16F,a=t.RGBA32F,i=t.RED,u=4,c=1,l=t.HALF_FLOAT,m=t.FLOAT,p=t.RGBA8):(o=r.RGBA,n=r.RGBA,s=r.RGBA,a=t.RGBA,i=r.RGBA,u=4,c=4,l=e!=null?e.HALF_FLOAT_OES:null,m=r.FLOAT,p=r.RGBA),{internalFormatFloat:o,internalFormatHalfFloat:n,internalFormatPackedHalfFloat:s,internalFormatPackedFloat:a,textureFormatFloat:i,downloadTextureFormat:p,downloadUnpackNumChannels:u,defaultNumChannels:c,textureTypeHalfFloat:l,textureTypeFloat:m}}function ce(r,e){let t=e();return P().getBool("DEBUG")&&u7(r),t}function u7(r){let e=r.getError();if(e!==r.NO_ERROR)throw new Error("WebGL Error: "+QE(r,e))}var p7=596e-10,c7=65504;function cI(r){return!!(P().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||r===0||p7r.getExtension(e),'Extension "'+e+'" not supported on this browser.')}function lI(r,e){let t=mi(r,()=>r.createShader(r.VERTEX_SHADER),"Unable to create vertex WebGLShader.");if(ce(r,()=>r.shaderSource(t,e)),ce(r,()=>r.compileShader(t)),r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw console.log(r.getShaderInfoLog(t)),new Error("Failed to compile vertex shader.");return t}function mI(r,e){let t=mi(r,()=>r.createShader(r.FRAGMENT_SHADER),"Unable to create fragment WebGLShader.");if(ce(r,()=>r.shaderSource(t,e)),ce(r,()=>r.compileShader(t)),P().get("ENGINE_COMPILE_ONLY"))return t;if(r.getShaderParameter(t,r.COMPILE_STATUS)===!1)throw Gf(e,r.getShaderInfoLog(t)),new Error("Failed to compile fragment shader.");return t}var l7=/ERROR: [0-9]+:([0-9]+):/g;function Gf(r,e){let t=l7.exec(e);if(t==null){console.log(`Couldn't parse line number in error: ${e}`),console.log(r);return}let o=+t[1],n=r.split(` `),s=n.length.toString().length+2,a=n.map((l,m)=>y.rightPad((m+1).toString(),s)+l),i=0;for(let l=0;lr.createProgram(),"Unable to create WebGLProgram.")}function YS(r,e){if(pe(r,()=>r.linkProgram(e)),!O().get("ENGINE_COMPILE_ONLY")&&r.getProgramParameter(e,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Failed to link vertex and fragment shaders.")}function kl(r,e){if(pe(r,()=>r.validateProgram(e)),r.getProgramParameter(e,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Shader program validation failed.")}function QS(r,e){let t=Wa(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),pe(r,()=>r.bufferData(r.ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function ZS(r,e){let t=Wa(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return pe(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t)),pe(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function J5(){return O().getNumber("WEBGL_VERSION")===2?1:4}function JS(r){return Wa(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function ew(r,e){let t=O().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||e<=0){let o=`[${r}x${e}]`;throw new Error("Requested texture size "+o+" is invalid.")}if(r>t||e>t){let o=`[${r}x${e}]`,n=`[${t}x${t}]`;throw new Error("Requested texture size "+o+" greater than WebGL maximum on this browser / GPU "+n+".")}}function tw(r){return Wa(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Af(r,e,t,o,n,s,a){let i=r.getAttribLocation(e,t);return i===-1?!1:(pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,o)),pe(r,()=>r.vertexAttribPointer(i,n,r.FLOAT,!1,s,a)),pe(r,()=>r.enableVertexAttribArray(i)),!0)}function _$(r,e,t){E$(r,t),pe(r,()=>r.activeTexture(r.TEXTURE0+t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,e))}function e8(r,e){E$(r,e),pe(r,()=>r.activeTexture(r.TEXTURE0+e)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function rw(r,e,t){return Wa(r,()=>r.getUniformLocation(e,t),'uniform "'+t+'" not present in program.')}function ow(r,e,t){return r.getUniformLocation(e,t)}function nw(r,e,t,o){pe(r,()=>_$(r,e,o)),pe(r,()=>r.uniform1i(t,o))}function t8(r){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),pe(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),pe(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function Nl(r,e,t){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),pe(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0))}function Rf(r,e){pe(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),pe(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function rc(r){let e=r.checkFramebufferStatus(r.FRAMEBUFFER);if(e!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+$$(r,e))}function $$(r,e){switch(e){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${e}`}}function Wa(r,e,t){let o=pe(r,()=>e());if(o==null)throw new Error(t);return o}function E$(r,e){let t=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,o=e+r.TEXTURE0;if(ot){let n=`[gl.TEXTURE0, gl.TEXTURE${t}]`;throw new Error(`textureUnit must be in ${n}.`)}}function Ua(r,e=2){return y.sizeFromShape(r.slice(0,r.length-e))}function Ga(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function oc(r){let e=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(e=[Ua(r),...Ga(r)]),e}function sw(r,e=!1){let t=O().getNumber("WEBGL_MAX_TEXTURE_SIZE"),o=O().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");o===1/0&&O().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(o=t/2),e&&(t=t*2,o=o*2,r=r.map((i,p)=>p>=r.length-2?y.nearestLargerEven(r[p]):r[p]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let n=y.sizeFromShape(r),s=null;r.length<=1&&n<=t?s=[1,n]:r.length===2&&r[0]<=t&&r[1]<=t?s=r:r.length===3&&r[0]*r[1]<=t&&r[2]<=t?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=t&&r[1]*r[2]<=t?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=t&&r[3]<=t?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=t&&r[1]*r[2]*r[3]<=t&&(s=[r[0],r[1]*r[2]*r[3]]);let a=s!=null&&Math.max(...s)>o&&Math.min(...s)<=(e?2:1)&&Math.min(...s)>0;if(s==null||a)if(e){let i=Ua(r),p=2,u=2;r.length&&([p,u]=Ga(r)),n=i*(p/2)*(u/2),s=y.sizeToSquarishShape(n).map(c=>c*2)}else s=y.sizeToSquarishShape(n);return s}function Tf(r){return r%2===0}function Bi(r,e){if(r=r.slice(-2),e=e.slice(-2),y.arraysEqual(r,e)||!r.length||!e.length||r[0]===0||r[1]===0||e[0]===0||e[1]===0)return!0;if(r.length!==e.length){let t=r.slice(-1)[0],o=e.slice(-1)[0];if(t===o||Tf(t)&&Tf(o)&&(r[0]===1||e[0]===1))return!0}return r[1]===e[1]&&Tf(r[0])&&Tf(e[0])}var _f,$f;function aw(r){if(_f==null){let e=zr(r);_f=e.getParameter(e.MAX_TEXTURE_SIZE)}return _f}function r8(){_f=null}function o8(){$f=null}function iw(r){if($f==null){let e=zr(r);$f=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,$f)}function uw(r){if(r===0)return 0;let e,t=zr(r);return Wr(t,"EXT_disjoint_timer_query_webgl2")&&r===2?e=2:Wr(t,"EXT_disjoint_timer_query")?e=1:e=0,e}function Wr(r,e){return r.getExtension(e)!=null}function Df(r){try{if(zr(r)!=null)return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function pw(r){if(r===0)return!1;let e=zr(r);if(r===1){if(!Wr(e,"OES_texture_float"))return!1}else if(!Wr(e,"EXT_color_buffer_float"))return!1;return HS(e)}function cw(r){if(r===0)return!1;let e=zr(r);if(r===1){if(!Wr(e,"OES_texture_float")||!Wr(e,"WEBGL_color_buffer_float"))return!1}else{if(Wr(e,"EXT_color_buffer_float"))return HS(e);let o="EXT_color_buffer_half_float";if(Wr(e,o)){let n=e.getExtension(o);return n8(e,n)}return!1}return HS(e)}function HS(r){let e=vl(r),t=r.createTexture();r.bindTexture(r.TEXTURE_2D,t);let o=1,n=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatFloat,o,n,0,e.textureFormatFloat,e.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(t),r.deleteFramebuffer(s),a}function n8(r,e){let t=vl(r,e),o=r.createTexture();r.bindTexture(r.TEXTURE_2D,o);let n=1,s=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatHalfFloat,n,s,0,t.textureFormatFloat,t.textureTypeHalfFloat,null);let a=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,a),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,o,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(o),r.deleteFramebuffer(a),i}function lw(r){return r!==2?!1:zr(r).fenceSync!=null}function us(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the WebGL backend.`)})}var Se=O();Se.registerFlag("HAS_WEBGL",()=>Se.getNumber("WEBGL_VERSION")>0);Se.registerFlag("WEBGL_VERSION",()=>Df(2)?2:Df(1)?1:0);Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);Se.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>Se.get("WEBGL_VERSION")===2);Se.registerFlag("WEBGL_CPU_FORWARD",()=>!0);Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);Se.registerFlag("WEBGL_PACK",()=>Se.getBool("HAS_WEBGL"));Se.registerFlag("WEBGL_PACK_NORMALIZATION",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_CLIP",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_REDUCE",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_LAZILY_UNPACK",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_CONV_IM2COL",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>aw(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>iw(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let r=Se.getNumber("WEBGL_VERSION");return r===0?0:uw(r)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!ki.isMobile());Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>pw(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>cw(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_FENCE_API_ENABLED",()=>lw(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Se.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>ki.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Se.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);Se.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);Se.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);Se.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);Se.registerFlag("WEBGL_EXP_CONV",()=>!1);Se.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>Se.getBool("IS_TEST"));Se.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);Se.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);Se.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);Se.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);function wt(){let r,e,t,o,n,s,a,i,p,u;return O().getNumber("WEBGL_VERSION")===2?(r="#version 300 es",e="in",t="out",o="in",n="texture",s="outputColor",a="out vec4 outputColor;",i=O().getBool("WEBGL2_ISNAN_CUSTOM")?` +`))}function dI(r){return mi(r,()=>r.createProgram(),"Unable to create WebGLProgram.")}function fI(r,e){if(ce(r,()=>r.linkProgram(e)),!P().get("ENGINE_COMPILE_ONLY")&&r.getProgramParameter(e,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Failed to link vertex and fragment shaders.")}function ql(r,e){if(ce(r,()=>r.validateProgram(e)),r.getProgramParameter(e,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(e)),new Error("Shader program validation failed.")}function hI(r,e){let t=mi(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),ce(r,()=>r.bufferData(r.ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function gI(r,e){let t=mi(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return ce(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t)),ce(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,e,r.STATIC_DRAW)),t}function m7(){return P().getNumber("WEBGL_VERSION")===2?1:4}function xI(r){return mi(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function yI(r,e){let t=P().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||e<=0){let o=`[${r}x${e}]`;throw new Error("Requested texture size "+o+" is invalid.")}if(r>t||e>t){let o=`[${r}x${e}]`,n=`[${t}x${t}]`;throw new Error("Requested texture size "+o+" greater than WebGL maximum on this browser / GPU "+n+".")}}function bI(r){return mi(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Hf(r,e,t,o,n,s,a){let i=r.getAttribLocation(e,t);return i===-1?!1:(ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,o)),ce(r,()=>r.vertexAttribPointer(i,n,r.FLOAT,!1,s,a)),ce(r,()=>r.enableVertexAttribArray(i)),!0)}function ZE(r,e,t){eR(r,t),ce(r,()=>r.activeTexture(r.TEXTURE0+t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,e))}function d7(r,e){eR(r,e),ce(r,()=>r.activeTexture(r.TEXTURE0+e)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function CI(r,e,t){return mi(r,()=>r.getUniformLocation(e,t),'uniform "'+t+'" not present in program.')}function wI(r,e,t){return r.getUniformLocation(e,t)}function SI(r,e,t,o){ce(r,()=>ZE(r,e,o)),ce(r,()=>r.uniform1i(t,o))}function f7(r){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),ce(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),ce(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function jl(r,e,t){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),ce(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0))}function Kf(r,e){ce(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),ce(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function Nc(r){let e=r.checkFramebufferStatus(r.FRAMEBUFFER);if(e!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+JE(r,e))}function JE(r,e){switch(e){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${e}`}}function mi(r,e,t){let o=ce(r,()=>e());if(o==null)throw new Error(t);return o}function eR(r,e){let t=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,o=e+r.TEXTURE0;if(ot){let n=`[gl.TEXTURE0, gl.TEXTURE${t}]`;throw new Error(`textureUnit must be in ${n}.`)}}function di(r,e=2){return y.sizeFromShape(r.slice(0,r.length-e))}function fi(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function Tc(r){let e=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(e=[di(r),...fi(r)]),e}function II(r,e=!1){let t=P().getNumber("WEBGL_MAX_TEXTURE_SIZE"),o=P().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");o===1/0&&P().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(o=t/2),e&&(t=t*2,o=o*2,r=r.map((i,p)=>p>=r.length-2?y.nearestLargerEven(r[p]):r[p]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=y.squeezeShape(r).newShape);let n=y.sizeFromShape(r),s=null;r.length<=1&&n<=t?s=[1,n]:r.length===2&&r[0]<=t&&r[1]<=t?s=r:r.length===3&&r[0]*r[1]<=t&&r[2]<=t?s=[r[0]*r[1],r[2]]:r.length===3&&r[0]<=t&&r[1]*r[2]<=t?s=[r[0],r[1]*r[2]]:r.length===4&&r[0]*r[1]*r[2]<=t&&r[3]<=t?s=[r[0]*r[1]*r[2],r[3]]:r.length===4&&r[0]<=t&&r[1]*r[2]*r[3]<=t&&(s=[r[0],r[1]*r[2]*r[3]]);let a=s!=null&&Math.max(...s)>o&&Math.min(...s)<=(e?2:1)&&Math.min(...s)>0;if(s==null||a)if(e){let i=di(r),p=2,u=2;r.length&&([p,u]=fi(r)),n=i*(p/2)*(u/2),s=y.sizeToSquarishShape(n).map(c=>c*2)}else s=y.sizeToSquarishShape(n);return s}function Vf(r){return r%2===0}function fu(r,e){if(r=r.slice(-2),e=e.slice(-2),y.arraysEqual(r,e)||!r.length||!e.length||r[0]===0||r[1]===0||e[0]===0||e[1]===0)return!0;if(r.length!==e.length){let t=r[r.length-1],o=e[e.length-1];if(t===o||Vf(t)&&Vf(o)&&(r[0]===1||e[0]===1))return!0}return r[1]===e[1]&&Vf(r[0])&&Vf(e[0])}var Wf,Uf;function vI(r){if(Wf==null){let e=Gr(r);Wf=e.getParameter(e.MAX_TEXTURE_SIZE)}return Wf}function h7(){Wf=null}function g7(){Uf=null}function kI(r){if(Uf==null){let e=Gr(r);Uf=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Uf)}function NI(r){if(r===0)return 0;let e,t=Gr(r);return Hr(t,"EXT_disjoint_timer_query_webgl2")&&r===2?e=2:Hr(t,"EXT_disjoint_timer_query")?e=1:e=0,e}function Hr(r,e){return r.getExtension(e)!=null}function qf(r){try{if(Gr(r)!=null)return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function TI(r){if(r===0)return!1;let e=Gr(r);if(r===1){if(!Hr(e,"OES_texture_float"))return!1}else if(!Hr(e,"EXT_color_buffer_float"))return!1;return pI(e)}function _I(r){if(r===0)return!1;let e=Gr(r);if(r===1){if(!Hr(e,"OES_texture_float")||!Hr(e,"WEBGL_color_buffer_float"))return!1}else{if(Hr(e,"EXT_color_buffer_float"))return pI(e);let o="EXT_color_buffer_half_float";if(Hr(e,o)){let n=e.getExtension(o);return x7(e,n)}return!1}return pI(e)}function pI(r){let e=Kl(r),t=r.createTexture();r.bindTexture(r.TEXTURE_2D,t);let o=1,n=1;r.texImage2D(r.TEXTURE_2D,0,e.internalFormatFloat,o,n,0,e.textureFormatFloat,e.textureTypeFloat,null);let s=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,s),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0);let a=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(t),r.deleteFramebuffer(s),a}function x7(r,e){let t=Kl(r,e),o=r.createTexture();r.bindTexture(r.TEXTURE_2D,o);let n=1,s=1;r.texImage2D(r.TEXTURE_2D,0,t.internalFormatHalfFloat,n,s,0,t.textureFormatFloat,t.textureTypeHalfFloat,null);let a=r.createFramebuffer();r.bindFramebuffer(r.FRAMEBUFFER,a),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,o,0);let i=r.checkFramebufferStatus(r.FRAMEBUFFER)===r.FRAMEBUFFER_COMPLETE;return r.bindTexture(r.TEXTURE_2D,null),r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteTexture(o),r.deleteFramebuffer(a),i}function $I(r){return r!==2?!1:Gr(r).fenceSync!=null}function Ps(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the WebGL backend.`)})}var Se=P();Se.registerFlag("HAS_WEBGL",()=>Se.getNumber("WEBGL_VERSION")>0);Se.registerFlag("WEBGL_VERSION",()=>qf(2)?2:qf(1)?1:0);Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1);Se.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>Se.get("WEBGL_VERSION")===2);Se.registerFlag("WEBGL_CPU_FORWARD",()=>!0);Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1);Se.registerFlag("WEBGL_PACK",()=>Se.getBool("HAS_WEBGL"));Se.registerFlag("WEBGL_PACK_NORMALIZATION",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_CLIP",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_PACK_REDUCE",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_LAZILY_UNPACK",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_CONV_IM2COL",()=>Se.getBool("WEBGL_PACK"));Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>vI(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>kI(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{let r=Se.getNumber("WEBGL_VERSION");return r===0?0:NI(r)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Zi.isMobile());Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>TI(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE"));Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>_I(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_FENCE_API_ENABLED",()=>$I(Se.getNumber("WEBGL_VERSION")));Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0);Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${r}.`)});Se.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>Zi.isMobile()?1:-1,r=>{if(r<0&&r!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${r}.`)});Se.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128);Se.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1);Se.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5);Se.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128);Se.registerFlag("WEBGL_EXP_CONV",()=>!1);Se.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>Se.getBool("IS_TEST"));Se.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0);Se.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1);Se.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1);Se.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);function It(){let r,e,t,o,n,s,a,i,p,u;return P().getNumber("WEBGL_VERSION")===2?(r="#version 300 es",e="in",t="out",o="in",n="texture",s="outputColor",a="out vec4 outputColor;",i=P().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; @@ -100,15 +100,15 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } - `),{version:r,attribute:e,varyingVs:t,varyingFs:o,texture2D:n,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:p,defineRound:u}}function ps(r,e,t="index"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / ${n}`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${n}`:`index -= ${r[s]} * ${n}`;return`${a}; ${i};`}).join("")}function Pu(r,e,t="index"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / outShapeStrides[${s}]`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${a}; ${i};`}).join("")}function s8(r,e){let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}function A$(r,e,t="index"){let o=r.map((s,a)=>a),n=s8(o,e);return n.map((s,a)=>{let i=`int ${r[a]} = ${t} / ${n[a]}`,p=a===n.length-1?`int ${r[a+1]} = ${t} - ${r[a]} * ${n[a]}`:`index -= ${r[a]} * ${n[a]}`;return`${i}; ${p};`}).join("")}function sc(r){let e=y.computeStrides(r).map(t=>t.toString());return` + `),{version:r,attribute:e,varyingVs:t,varyingFs:o,texture2D:n,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:p,defineRound:u}}function Os(r,e,t="index"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / ${n}`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${n}`:`index -= ${r[s]} * ${n}`;return`${a}; ${i};`}).join("")}function hp(r,e,t="index"){let o=y.computeStrides(e);return o.map((n,s)=>{let a=`int ${r[s]} = ${t} / outShapeStrides[${s}]`,i=s===o.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * outShapeStrides[${s}]`:`index -= ${r[s]} * outShapeStrides[${s}]`;return`${a}; ${i};`}).join("")}function y7(r,e){let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}function tR(r,e,t="index"){let o=r.map((s,a)=>a),n=y7(o,e);return n.map((s,a)=>{let i=`int ${r[a]} = ${t} / ${n[a]}`,p=a===n.length-1?`int ${r[a+1]} = ${t} - ${r[a]} * ${n[a]}`:`index -= ${r[a]} * ${n[a]}`;return`${i}; ${p};`}).join("")}function $c(r){let e=y.computeStrides(r).map(t=>t.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z; } -`}function ac(){return` +`}function Ec(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } -`}var Ff=` +`}var jf=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; @@ -147,22 +147,22 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return c / 255.0; } -`;var{getBroadcastDims:R$}=S;function D$(r,e,t){let o=[];if(r.forEach(d=>{let f=y.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?o.push(`uniform float ${d.name}${f>1?`[${f}]`:""};`):(o.push(`uniform sampler2D ${d.name};`),o.push(`uniform int offset${d.name};`)),t.enableShapeUniforms){let{uniformShape:h}=Of(t.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(h.length){case 1:o.push(`uniform int ${d.name}Shape;`);break;case 2:o.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:o.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:o.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}o.push(`uniform ivec2 ${d.name}TexShape;`)}}),t.enableShapeUniforms){switch(e.logicalShape.length){case 1:o.push("uniform int outShape;");break;case 2:o.push("uniform ivec2 outShape;"),o.push("uniform int outShapeStrides;");break;case 3:o.push("uniform ivec3 outShape;"),o.push("uniform ivec2 outShapeStrides;");break;case 4:o.push("uniform ivec4 outShape;"),o.push("uniform ivec3 outShapeStrides;");break;default:break}o.push("uniform ivec2 outTexShape;")}t.customUniforms&&t.customUniforms.forEach(d=>{o.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:""};`)});let n=o.join(` -`),s=r.map(d=>a8(d,e,t.packedInputs,t.enableShapeUniforms)).join(` -`),a=e.texShape,i=wt(),p=p8(i),u,c,l=m8(i);return e.isPacked?(u=i8(e.logicalShape,a,t.enableShapeUniforms),c=l8(i)):(u=u8(e.logicalShape,a,t.enableShapeUniforms),c=c8(i)),t.packedInputs&&(l+=g8),[l,p,c,n,u,s,t.userCode].join(` -`)}function uc(r,e=!1){let t=r.shapeInfo.logicalShape;switch(t.length){case 0:return _8(r,e);case 1:return E8(r,e);case 2:return R8(r,e);case 3:return F8(r,e);case 4:return P8(r,e);case 5:return M8(r);case 6:return L8(r);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function F$(r,e){switch(r.shapeInfo.logicalShape.length){case 0:return T8(r);case 1:return $8(r,e);case 2:return A8(r,e);case 3:return D8(r,e);default:return O8(r,e)}}function a8(r,e,t=!1,o){let n="";t?n+=F$(r,o):n+=uc(r,o);let s=r.shapeInfo.logicalShape,a=e.logicalShape;return s.length<=a.length&&(t?n+=B8(r,e):n+=V8(r,e)),n}function i8(r,e,t){switch(r.length){case 0:return O$();case 1:return x8(r,e,t);case 2:return k8(r,e,t);case 3:return b8(r,e,t);default:return S8(r,e,t)}}function u8(r,e,t){switch(r.length){case 0:return O$();case 1:return y8(r,e,t);case 2:return N8(r,e,t);case 3:return C8(r,e,t);case 4:return w8(r,e,t);case 5:return I8(r,e);case 6:return v8(r,e);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function p8(r){return` +`;var{getBroadcastDims:rR}=C;function oR(r,e,t){let o=[];if(r.forEach(d=>{let f=y.sizeFromShape(d.shapeInfo.logicalShape);if(d.shapeInfo.isUniform?o.push(`uniform float ${d.name}${f>1?`[${f}]`:""};`):(o.push(`uniform sampler2D ${d.name};`),o.push(`uniform int offset${d.name};`)),t.enableShapeUniforms){let{uniformShape:h}=Xf(t.packedInputs,d.shapeInfo.logicalShape,d.shapeInfo.texShape);switch(h.length){case 1:o.push(`uniform int ${d.name}Shape;`);break;case 2:o.push(`uniform ivec2 ${d.name}Shape;`);break;case 3:o.push(`uniform ivec3 ${d.name}Shape;`);break;case 4:o.push(`uniform ivec4 ${d.name}Shape;`);break;default:break}o.push(`uniform ivec2 ${d.name}TexShape;`)}}),t.enableShapeUniforms){switch(e.logicalShape.length){case 1:o.push("uniform int outShape;");break;case 2:o.push("uniform ivec2 outShape;"),o.push("uniform int outShapeStrides;");break;case 3:o.push("uniform ivec3 outShape;"),o.push("uniform ivec2 outShapeStrides;");break;case 4:o.push("uniform ivec4 outShape;"),o.push("uniform ivec3 outShapeStrides;");break;default:break}o.push("uniform ivec2 outTexShape;")}t.customUniforms&&t.customUniforms.forEach(d=>{o.push(`uniform ${d.type} ${d.name}${d.arrayIndex?`[${d.arrayIndex}]`:""};`)});let n=o.join(` +`),s=r.map(d=>b7(d,e,t.packedInputs,t.enableShapeUniforms)).join(` +`),a=e.texShape,i=It(),p=S7(i),u,c,l=k7(i);return e.isPacked?(u=C7(e.logicalShape,a,t.enableShapeUniforms),c=v7(i)):(u=w7(e.logicalShape,a,t.enableShapeUniforms),c=I7(i)),t.packedInputs&&(l+=$7),[l,p,c,n,u,s,t.userCode].join(` +`)}function Dc(r,e=!1){let t=r.shapeInfo.logicalShape;switch(t.length){case 0:return V7(r,e);case 1:return U7(r,e);case 2:return H7(r,e);case 3:return q7(r,e);case 4:return X7(r,e);case 5:return Y7(r);case 6:return Q7(r);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function nR(r,e){switch(r.shapeInfo.logicalShape.length){case 0:return z7(r);case 1:return W7(r,e);case 2:return G7(r,e);case 3:return K7(r,e);default:return j7(r,e)}}function b7(r,e,t=!1,o){let n="";t?n+=nR(r,o):n+=Dc(r,o);let s=r.shapeInfo.logicalShape,a=e.logicalShape;return s.length<=a.length&&(t?n+=Z7(r,e):n+=J7(r,e)),n}function C7(r,e,t){switch(r.length){case 0:return sR();case 1:return E7(r,e,t);case 2:return L7(r,e,t);case 3:return D7(r,e,t);default:return F7(r,e,t)}}function w7(r,e,t){switch(r.length){case 0:return sR();case 1:return R7(r,e,t);case 2:return B7(r,e,t);case 3:return A7(r,e,t);case 4:return P7(r,e,t);case 5:return O7(r,e);case 6:return M7(r,e);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function S7(r){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${r.texture2D}(textureSampler, uv).r; } - `}function c8(r){return` + `}function I7(r){return` void setOutput(float val) { ${r.output} = vec4(val, 0, 0, 0); } - `}function l8(r){return` + `}function v7(r){return` void setOutput(vec4 val) { ${r.output} = val; } - `}function m8(r){return`${r.version} + `}function k7(r){return`${r.version} precision highp float; precision highp int; precision highp sampler2D; @@ -217,10 +217,10 @@ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dram return fract((p3.x + p3.y) * p3.z); } - ${d8} - ${f8} - ${h8} - `}var d8=` + ${N7} + ${T7} + ${_7} + `}var N7=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; @@ -232,7 +232,7 @@ vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,f8=` +`,T7=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); @@ -240,7 +240,7 @@ vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,h8=` +`,_7=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { @@ -249,7 +249,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } -`,g8=` +`,$7=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? @@ -260,11 +260,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } -`;function O$(){return` +`;function sR(){return` int getOutputCoords() { return 0; } - `}function x8(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return o[0]===1?t?` + `}function E7(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return o[0]===1?t?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } @@ -293,7 +293,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${o[0]}, ${o[1]})); return 2 * (resTexRC.x * ${o[1]} + resTexRC.y); } - `}function y8(r,e,t){return e[0]===1?t?` + `}function R7(r,e,t){return e[0]===1?t?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } @@ -321,7 +321,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2(${e[0]}, ${e[1]})); return resTexRC.x * ${e[1]} + resTexRC.y; } - `}function b8(r,e,t){if(t)return` + `}function D7(r,e,t){if(t)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); @@ -352,15 +352,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec3(b, r, c); } - `}function C8(r,e,t){if(t)return` + `}function A7(r,e,t){if(t)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Pu(["r","c","d"],r)} + ${hp(["r","c","d"],r)} return ivec3(r, c, d); } -`;let o=ps(["r","c","d"],r);return` +`;let o=Os(["r","c","d"],r);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${e[0]}, ${e[1]})); @@ -368,7 +368,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${o} return ivec3(r, c, d); } - `}function S8(r,e,t){if(t)return` + `}function F7(r,e,t){if(t)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * @@ -409,15 +409,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec${r.length}(${p}); } - `}function w8(r,e,t){if(t)return` + `}function P7(r,e,t){if(t)return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; - ${Pu(["r","c","d","d2"],r)} + ${hp(["r","c","d","d2"],r)} return ivec4(r, c, d, d2); } - `;let o=ps(["r","c","d","d2"],r);return` + `;let o=Os(["r","c","d","d2"],r);return` ivec4 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${e[0]}, ${e[1]})); @@ -425,7 +425,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${o} return ivec4(r, c, d, d2); } - `}function I8(r,e){let t=ps(["r","c","d","d2","d3"],r);return` + `}function O7(r,e){let t=Os(["r","c","d","d2","d3"],r);return` ivec5 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${e[0]}, ${e[1]})); @@ -437,7 +437,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec5 outShape = ivec5(r, c, d, d2, d3); return outShape; } - `}function v8(r,e){let t=ps(["r","c","d","d2","d3","d4"],r);return` + `}function M7(r,e){let t=Os(["r","c","d","d2","d3","d4"],r);return` ivec6 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${e[0]}, ${e[1]})); @@ -448,7 +448,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ivec6 result = ivec6(r, c, d, d2, d3, d4); return result; } - `}function k8(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(y.arraysEqual(r,e))return t?` + `}function L7(r,e,t){let o=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(y.arraysEqual(r,e))return t?` ivec2 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); @@ -481,7 +481,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, return ivec2(r, c); } - `}function N8(r,e,t){return y.arraysEqual(r,e)?t?` + `}function B7(r,e,t){return y.arraysEqual(r,e)?t?` ivec2 getOutputCoords() { return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); } @@ -535,15 +535,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, int c = index - r * ${r[1]}; return ivec2(r, c); } - `}function Mu(r){return`offset${r}`}function T8(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1),o=wt();return` + `}function gp(r){return`offset${r}`}function z7(r){let e=r.name,t="get"+e.charAt(0).toUpperCase()+e.slice(1),o=It();return` vec4 ${t}() { return ${o.texture2D}(${e}, halfCR); } - `}function _8(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1);if(r.shapeInfo.isUniform)return`float ${o}() {return ${t};}`;let[n,s]=r.shapeInfo.texShape;if(n===1&&s===1)return` + `}function V7(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1);if(r.shapeInfo.isUniform)return`float ${o}() {return ${t};}`;let[n,s]=r.shapeInfo.texShape;if(n===1&&s===1)return` float ${o}() { return sampleTexture(${t}, halfCR); } - `;let a=Mu(t);if(e)return` + `;let a=gp(t);if(e)return` float ${o}() { vec2 uv = uvFromFlat(${t}TexShape[0], ${t}TexShape[1], ${a}); return sampleTexture(${t}, uv); @@ -553,7 +553,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${i}, ${p}, ${a}); return sampleTexture(${t}, uv); } - `}function $8(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1),n=r.shapeInfo.texShape,s=wt();if(e)return` + `}function W7(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1),n=r.shapeInfo.texShape,s=It();if(e)return` vec4 ${o}(int index) { ivec2 packedTexShape = ivec2(ceil(float(${t}TexShape[0]) / 2.0), ceil(float(${t}TexShape[1]) / 2.0)); vec2 uv = packedUVfrom1D( @@ -566,15 +566,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${a[0]}, ${a[1]}, index); return ${s.texture2D}(${t}, uv); } - `}function E8(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1);if(r.shapeInfo.isUniform)return` + `}function U7(r,e){let t=r.name,o="get"+t.charAt(0).toUpperCase()+t.slice(1);if(r.shapeInfo.isUniform)return` float ${o}(int index) { - ${pc(r)} + ${Ac(r)} } `;let n=r.shapeInfo.texShape,s=n[0],a=n[1];if(a===1&&s===1)return` float ${o}(int index) { return sampleTexture(${t}, halfCR); } - `;let i=Mu(t);return a===1?e?` + `;let i=gp(t);return a===1?e?` float ${o}(int index) { vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / float(${t}TexShape[0])); return sampleTexture(${t}, uv); @@ -604,7 +604,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = uvFromFlat(${s}, ${a}, index + ${i}); return sampleTexture(${t}, uv); } - `}function A8(r,e){let t=r.shapeInfo.logicalShape,o=r.name,n="get"+o.charAt(0).toUpperCase()+o.slice(1),s=r.shapeInfo.texShape,a=s[0],i=s[1],p=wt();if(s!=null&&y.arraysEqual(t,s))return e?` + `}function G7(r,e){let t=r.shapeInfo.logicalShape,o=r.name,n="get"+o.charAt(0).toUpperCase()+o.slice(1),s=r.shapeInfo.texShape,a=s[0],i=s[1],p=It();if(s!=null&&y.arraysEqual(t,s))return e?` vec4 ${n}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${o}TexShape[1], ${o}TexShape[0]); @@ -628,7 +628,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = packedUVfrom2D(${c}, ${u[0]}, ${u[1]}, row, col); return ${p.texture2D}(${o}, uv); } - `}function R8(r,e){let t=r.shapeInfo.logicalShape,o=r.name,n="get"+o.charAt(0).toUpperCase()+o.slice(1),s=r.shapeInfo.texShape;if(s!=null&&y.arraysEqual(t,s)){if(e)return` + `}function H7(r,e){let t=r.shapeInfo.logicalShape,o=r.name,n="get"+o.charAt(0).toUpperCase()+o.slice(1),s=r.shapeInfo.texShape;if(s!=null&&y.arraysEqual(t,s)){if(e)return` float ${n}(int row, int col) { vec2 uv = (vec2(col, row) + halfCR) / vec2(${o}TexShape[1], ${o}TexShape[0]); return sampleTexture(${o}, uv); @@ -638,17 +638,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, vec2 uv = (vec2(col, row) + halfCR) / vec2(${d}.0, ${m}.0); return sampleTexture(${o}, uv); } - `}let{newShape:a,keptDims:i}=y.squeezeShape(t),p=a;if(p.length=1?c="coords = 0;":c=i.map(b=>`coords.${l[b+u]} = 0;`).join(` -`);let m="";a<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,C)=>`coords.${l[C+u]}`).join(", ");let d="return outputValue;",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(e.logicalShape)===1;if(s===1&&!h&&!x)d=` + `}function Z7(r,e){let t=r.name,o=t.charAt(0).toUpperCase()+t.slice(1),n="get"+o+"AtOutCoords",s=r.shapeInfo.logicalShape.length,a=e.logicalShape.length,i=rR(r.shapeInfo.logicalShape,e.logicalShape),p=Re(a),u=a-s,c,l=["x","y","z","w","u","v"];s===0?c="":a<2&&i.length>=1?c="coords = 0;":c=i.map(b=>`coords.${l[b+u]} = 0;`).join(` +`);let m="";a<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,w)=>`coords.${l[w+u]}`).join(", ");let d="return outputValue;",h=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(e.logicalShape)===1;if(s===1&&!h&&!x)d=` return vec4(outputValue.xy, outputValue.xy); `;else if(h&&!x)a===1?d=` return vec4(outputValue.x, outputValue.x, 0., 0.); `:d=` return vec4(outputValue.x); - `;else if(i.length){let b=s-2,C=s-1;i.indexOf(b)>-1&&i.indexOf(C)>-1?d="return vec4(outputValue.x);":i.indexOf(b)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(C)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}return` + `;else if(i.length){let b=s-2,w=s-1;i.indexOf(b)>-1&&i.indexOf(w)>-1?d="return vec4(outputValue.x);":i.indexOf(b)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(w)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}return` vec4 ${n}() { ${p} coords = getOutputCoords(); ${c} vec4 outputValue = get${o}(${m}); ${d} } - `}function V8(r,e){let t=r.name,o=t.charAt(0).toUpperCase()+t.slice(1),n="get"+o+"AtOutCoords",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,p=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===p&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return` + `}function J7(r,e){let t=r.name,o=t.charAt(0).toUpperCase()+t.slice(1),n="get"+o+"AtOutCoords",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,p=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===p&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return` float ${n}() { return sampleTexture(${t}, resultUV); } - `;let u=$e(p),c=R$(r.shapeInfo.logicalShape,e.logicalShape),l=p-i,m,d=["x","y","z","w","u","v"];i===0?m="":p<2&&c.length>=1?m="coords = 0;":m=c.map(h=>`coords.${d[h+l]} = 0;`).join(` + `;let u=Re(p),c=rR(r.shapeInfo.logicalShape,e.logicalShape),l=p-i,m,d=["x","y","z","w","u","v"];i===0?m="":p<2&&c.length>=1?m="coords = 0;":m=c.map(h=>`coords.${d[h+l]} = 0;`).join(` `);let f="";return p<2&&i>0?f="coords":f=r.shapeInfo.logicalShape.map((h,g)=>`coords.${d[g+l]}`).join(", "),` float ${n}() { ${u} coords = getOutputCoords(); ${m} return get${o}(${f}); } - `}function $e(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error(`GPU for rank ${r} is not yet supported`)}function Of(r,e,t){let{newShape:o,keptDims:n}=y.squeezeShape(e),s=e.length,a=r&&s===3&&e[0]===1,i=a?e.slice(1):o,p=!r&&s>1&&!y.arraysEqual(e,t)&&o.lengthr[t]).join(", ")}function M$(r,e,t,o){let n=t.map((c,l)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:e.variableNames[l],shapeInfo:m}}),s=n.map(c=>c.shapeInfo),a={logicalShape:o.shape,texShape:o.texData.texShape,isUniform:!1,isPacked:o.texData.isPacked,flatOffset:null},i=D$(n,a,e),p=jS(r.gl,i),u=r.createProgram(p);return O().get("ENGINE_COMPILE_ONLY")?{program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a},mw(r,e,u))}function mw(r,e,t){let o={},n={},s={},a=[],i,p,u,c=null,l=null;l=r.getUniformLocation(t,"NAN",!1),O().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(t,"INFINITY",!1));let m=!1;for(let d=0;d{a[f]=r.getUniformLocation(t,d.name,m)}),{uniformLocations:o,customUniformLocations:a,infLoc:c,nanLoc:l,inShapesLocations:n,inTexShapesLocations:s,outShapeLocation:i,outShapeStridesLocation:u,outTexShapeLocation:p}}function P$(r,e){if(r.length!==e.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${e.length} inputs`);r.forEach((t,o)=>{let n=t.logicalShape,s=e[o],a=s.shape;if(!y.arraysEqual(n,a))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${n} and ${a} must match`);if(t.isUniform&&s.isUniform)return;let i=t.texShape,p=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(i,p))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${p} must match`)})}function L$(r,e,t,o,n){e.program.enableShapeUniforms||(P$(e.inShapeInfos,t),P$([e.outShapeInfo],[o]));let s=o.texData.texture,a=o.texData.texShape;o.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,a[0],a[1]):r.setOutputMatrixTexture(s.texture,a[0],a[1]),r.setProgram(e.webGLProgram),O().getNumber("WEBGL_VERSION")===1&&e.infLoc!==null&&r.gl.uniform1f(e.infLoc,1/0),e.nanLoc!==null&&r.gl.uniform1f(e.nanLoc,NaN),t.forEach((p,u)=>{let c=e.program.variableNames[u],l=e.uniformLocations[c],m=e.uniformLocations[`offset${c}`],d=e.inShapesLocations[`${c}Shape`],f=e.inTexShapesLocations[`${c}TexShape`];if(d){let{uniformShape:h}=Of(e.program.packedInputs,p.shape,p.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(d,new Int32Array(h));break;case 2:r.gl.uniform2iv(d,new Int32Array(h));break;case 3:r.gl.uniform3iv(d,new Int32Array(h));break;case 4:r.gl.uniform4iv(d,new Int32Array(h));break;default:break}}if(f&&r.gl.uniform2i(f,p.texData.texShape[0],p.texData.texShape[1]),l!=null){if(p.isUniform){if(y.sizeFromShape(p.shape)<2)r.gl.uniform1f(l,p.uniformValues[0]);else{let h=p.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(l,h)}return}p.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,p.texData.slice.flatOffset),r.setInputMatrixTexture(p.texData.texture.texture,l,u)}});let i=e.outShapeLocation;if(i)switch(o.shape.length){case 1:r.gl.uniform1iv(i,new Int32Array(o.shape));break;case 2:r.gl.uniform2iv(i,new Int32Array(o.shape));break;case 3:r.gl.uniform3iv(i,new Int32Array(o.shape));break;case 4:r.gl.uniform4iv(i,new Int32Array(o.shape));break;default:break}if(e.outShapeStridesLocation){let p=y.computeStrides(o.shape);switch(o.shape.length){case 2:r.gl.uniform1iv(e.outShapeStridesLocation,new Int32Array(p));break;case 3:r.gl.uniform2iv(e.outShapeStridesLocation,new Int32Array(p));break;case 4:r.gl.uniform3iv(e.outShapeStridesLocation,new Int32Array(p));break;default:break}}e.outTexShapeLocation&&r.gl.uniform2i(e.outTexShapeLocation,o.texData.texShape[0],o.texData.texShape[1]),e.program.customUniforms&&n&&e.program.customUniforms.forEach((p,u)=>{let c=e.customUniformLocations[u],l=n[u];if(p.type==="float")r.gl.uniform1fv(c,l);else if(p.type==="vec2")r.gl.uniform2fv(c,l);else if(p.type==="vec3")r.gl.uniform3fv(c,l);else if(p.type==="vec4")r.gl.uniform4fv(c,l);else if(p.type==="int")r.gl.uniform1iv(c,l);else if(p.type==="ivec2")r.gl.uniform2iv(c,l);else if(p.type==="ivec3")r.gl.uniform3iv(c,l);else if(p.type==="ivec4")r.gl.uniform4iv(c,l);else throw Error(`uniform type ${p.type} is not supported yet.`)}),r.executeProgram()}function B$(r,e,t){let o="";e.concat(t).forEach(a=>{let i=a.texData!=null&&a.texData.slice!=null&&a.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!a.isUniform){let p=a.texData.texShape,{useSqueezeShape:u,uniformShape:c,keptDims:l}=Of(r.packedInputs,a.shape,p),m="",d="",f="";if(c.length===1&&r.packedInputs){let k=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];m=`${k[0]>1}_${k[1]>1}`}else if(c.length===2&&!r.packedInputs)d=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let k=y.computeStrides(c);f=`${k[0]===p[1]}_${k[k.length-1]===p[1]}`}let h=a.shape.length,g=c.length===2&&y.arraysEqual(a.shape,p),x=y.sizeFromShape(a.shape)===1,b=S.getBroadcastDims(a.shape,t.shape),C=!r.packedInputs&&h===t.shape.length&&y.arraysEqual(p,t.texData.texShape),w=r.packedInputs||c.length>2?"":`${p[0]>1}_${p[1]>1}`;o+=`${h}_${C}_${u?l:""}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${w}_${i}`}else{let p=a.isUniform?"uniform":a.texData.texShape;o+=`${a.shape}_${p}_${i}`}});let n=r.userCode,s=r.constructor.name;return s+="_"+o+"_"+n+`${O().getNumber("WEBGL_VERSION")}`,s}function lt(r){return O().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&r<=4}var Pf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Li.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=` + `}function Re(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error(`GPU for rank ${r} is not yet supported`)}function Xf(r,e,t){let{newShape:o,keptDims:n}=y.squeezeShape(e),s=e.length,a=r&&s===3&&e[0]===1,i=a?e.slice(1):o,p=!r&&s>1&&!y.arraysEqual(e,t)&&o.lengthr[t]).join(", ")}function iR(r,e,t,o){let n=t.map((c,l)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:e.variableNames[l],shapeInfo:m}}),s=n.map(c=>c.shapeInfo),a={logicalShape:o.shape,texShape:o.texData.texShape,isUniform:!1,isPacked:o.texData.isPacked,flatOffset:null},i=oR(n,a,e),p=mI(r.gl,i),u=r.createProgram(p);return P().get("ENGINE_COMPILE_ONLY")?{program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(r.buildVao(u),Object.assign({program:e,fragmentShader:p,source:i,webGLProgram:u,inShapeInfos:s,outShapeInfo:a},EI(r,e,u)))}function EI(r,e,t){let o=[],n=[],s,a,i,p=null,u=null;u=r.getUniformLocation(t,"NAN",!1),P().getNumber("WEBGL_VERSION")===1&&(p=r.getUniformLocation(t,"INFINITY",!1));let c=!1;for(let l of e.variableNames){let m={name:l,uniform:r.getUniformLocation(t,l,c),offset:r.getUniformLocation(t,`offset${l}`,c)};e.enableShapeUniforms&&(m.shape=r.getUniformLocation(t,`${l}Shape`,c),m.texShape=r.getUniformLocation(t,`${l}TexShape`,c)),o.push(m)}if(e.enableShapeUniforms&&(s=r.getUniformLocation(t,"outShape",c),i=r.getUniformLocation(t,"outShapeStrides",c),a=r.getUniformLocation(t,"outTexShape",c)),e.customUniforms)for(let l of e.customUniforms)n.push(r.getUniformLocation(t,l.name,c));return{variablesLocations:o,customUniformLocations:n,infLoc:p,nanLoc:u,outShapeLocation:s,outShapeStridesLocation:i,outTexShapeLocation:a}}function aR(r,e){if(r.length!==e.length)throw Error(`Binary was compiled with ${r.length} inputs, but was executed with ${e.length} inputs`);r.forEach((t,o)=>{let n=t.logicalShape,s=e[o],a=s.shape;if(!y.arraysEqual(n,a))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${n} and ${a} must match`);if(t.isUniform&&s.isUniform)return;let i=t.texShape,p=s.isUniform?null:s.texData.texShape;if(!y.arraysEqual(i,p))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${p} must match`)})}function uR(r,e,t,o,n){e.program.enableShapeUniforms||(aR(e.inShapeInfos,t),aR([e.outShapeInfo],[o]));let s=o.texData.texture,a=o.texData.texShape;o.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,a[0],a[1]):r.setOutputMatrixTexture(s.texture,a[0],a[1]),r.setProgram(e.webGLProgram),r.bindVertexArray(e.webGLProgram.vao),P().getNumber("WEBGL_VERSION")===1&&e.infLoc!==null&&r.gl.uniform1f(e.infLoc,1/0),e.nanLoc!==null&&r.gl.uniform1f(e.nanLoc,NaN);for(let p=0;p{let i=a.texData!=null&&a.texData.slice!=null&&a.texData.slice.flatOffset>0;if(r.enableShapeUniforms&&!a.isUniform){let p=a.texData.texShape,{useSqueezeShape:u,uniformShape:c,keptDims:l}=Xf(r.packedInputs,a.shape,p),m="",d="",f="";if(c.length===1&&r.packedInputs){let k=[Math.ceil(p[0]/2),Math.ceil(p[1]/2)];m=`${k[0]>1}_${k[1]>1}`}else if(c.length===2&&!r.packedInputs)d=`${c[0]>1}_${c[1]>1}`;else if(c.length>2&&!r.packedInputs){let k=y.computeStrides(c);f=`${k[0]===p[1]}_${k[k.length-1]===p[1]}`}let h=a.shape.length,g=c.length===2&&y.arraysEqual(a.shape,p),x=y.sizeFromShape(a.shape)===1,b=C.getBroadcastDims(a.shape,t.shape),w=!r.packedInputs&&h===t.shape.length&&y.arraysEqual(p,t.texData.texShape),S=r.packedInputs||c.length>2?"":`${p[0]>1}_${p[1]>1}`;o+=`${h}_${w}_${u?l:""}_${c.length}_${x}_${b}_${g}_${m}_${d}_${f}_${S}_${i}`}else{let p=a.isUniform?"uniform":a.texData.texShape;o+=`${a.shape}_${p}_${i}`}});let n=r.userCode,s=r.constructor.name;return s+="_"+o+"_"+n+`${P().getNumber("WEBGL_VERSION")}`,s}function ut(r){return P().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&r<=4}var Yf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=du.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=It();this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Pu(["r","c","d"],e):ps(["r","c","d"],e)} + ${this.enableShapeUniforms?hp(["r","c","d"],e):Os(["r","c","d"],e)} return ivec3(r, c, d); } @@ -996,9 +996,9 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}};var Mf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Li.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=` + `}};var Qf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=du.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=It();this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { - ${this.enableShapeUniforms?Pu(["r","c","d"],e):ps(["r","c","d"],e)} + ${this.enableShapeUniforms?hp(["r","c","d"],e):Os(["r","c","d"],e)} return ivec3(r, c, d); } @@ -1016,26 +1016,26 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${t.output} = result; } - `}};var Lf=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ur.DOWNLOAD;let t=wt();this.outputShape=e,this.userCode=` - ${Ff} + `}};var Zf=class{constructor(e){this.variableNames=["A"],this.outTexUsage=mr.DOWNLOAD;let t=It();this.outputShape=e,this.userCode=` + ${jf} void main() { float x = getAAtOutCoords(); ${t.output} = encode_float(x); } - `}};var Bf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ur.DOWNLOAD;let t=wt();this.outputShape=e,this.userCode=` - ${Ff} + `}};var Jf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=mr.DOWNLOAD;let t=It();this.outputShape=e,this.userCode=` + ${jf} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${t.output} = encode_float(x); } - `}};var U8={R:0,G:1,B:2,A:3},Tl=class{constructor(e,t=!1,o="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=wt();this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let s="result";t&&(s="floor(result * 255. + 0.5)");let a="";for(let i=0;iSw,createBufferFromOutputTexture:()=>vw,createFloat16MatrixTexture:()=>xw,createFloat16PackedMatrixTexture:()=>Cw,createFloat32MatrixTexture:()=>gw,createIndexBuffer:()=>hw,createPackedMatrixTexture:()=>bw,createUnsignedBytesMatrixTexture:()=>yw,createVertexBuffer:()=>fw,createVertexShader:()=>dw,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Nw,downloadFloat32MatrixFromBuffer:()=>kw,downloadMatrixFromPackedOutputTexture:()=>_w,downloadPackedMatrixFromBuffer:()=>Tw,getInternalFormatForFloat16MatrixTexture:()=>Wf,getInternalFormatForFloat16PackedMatrixTexture:()=>Hf,getInternalFormatForFloat32MatrixTexture:()=>zf,getInternalFormatForPackedMatrixTexture:()=>Gf,getInternalFormatForUnsignedBytesMatrixTexture:()=>Uf,uploadDenseMatrixToTexture:()=>ww,uploadPixelDataToTexture:()=>Iw});function dw(r){let e=wt(),t=`${e.version} + `}};var qI={};He(qI,{bindVertexProgramAttributeStreams:()=>BI,createBufferFromOutputTexture:()=>WI,createFloat16MatrixTexture:()=>PI,createFloat16PackedMatrixTexture:()=>LI,createFloat32MatrixTexture:()=>FI,createIndexBuffer:()=>AI,createPackedMatrixTexture:()=>MI,createUnsignedBytesMatrixTexture:()=>OI,createVertexBuffer:()=>DI,createVertexShader:()=>RI,downloadByteEncodedFloatMatrixFromOutputTexture:()=>GI,downloadFloat32MatrixFromBuffer:()=>UI,downloadMatrixFromPackedOutputTexture:()=>KI,downloadPackedMatrixFromBuffer:()=>HI,getInternalFormatForFloat16MatrixTexture:()=>rh,getInternalFormatForFloat16PackedMatrixTexture:()=>sh,getInternalFormatForFloat32MatrixTexture:()=>th,getInternalFormatForPackedMatrixTexture:()=>nh,getInternalFormatForUnsignedBytesMatrixTexture:()=>oh,uploadDenseMatrixToTexture:()=>zI,uploadPixelDataToTexture:()=>VI});function RI(r){let e=It(),t=`${e.version} precision highp float; ${e.attribute} vec3 clipSpacePos; ${e.attribute} vec2 uv; @@ -1107,11 +1107,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, void main() { gl_Position = vec4(clipSpacePos, 1); resultUV = uv; - }`;return qS(r,t)}function fw(r){let e=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return QS(r,e)}function hw(r){let e=new Uint16Array([0,1,2,2,1,3]);return ZS(r,e)}function _l(r,e,t,o,n,s){ew(e,t);let a=JS(r),i=r.TEXTURE_2D;return pe(r,()=>r.bindTexture(i,a)),pe(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),pe(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),pe(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),pe(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),O().getNumber("WEBGL_VERSION")===1?pe(r,()=>r.texImage2D(i,0,o,e,t,0,n,s,null)):pe(r,()=>r.texStorage2D(i,1,o,e,t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:a,texShape:[t,e]}}function zf(r){return r.internalFormatFloat}function gw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,zf(o),o.textureFormatFloat,r.FLOAT)}function Wf(r){return r.internalFormatHalfFloat}function xw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,Wf(o),o.textureFormatFloat,o.textureTypeHalfFloat)}function Uf(r){return r.downloadTextureFormat}function yw(r,e,t,o){let[n,s]=Ou(e,t);return _l(r,n,s,Uf(o),r.RGBA,r.UNSIGNED_BYTE)}function Gf(r){return r.internalFormatPackedFloat}function bw(r,e,t,o){let[n,s]=Qs(e,t);return _l(r,n,s,Gf(o),r.RGBA,r.FLOAT)}function Hf(r){return r.internalFormatPackedHalfFloat}function Cw(r,e,t,o){let[n,s]=Qs(e,t);return _l(r,n,s,Hf(o),r.RGBA,o.textureTypeHalfFloat)}function Sw(r,e,t){return pe(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Af(r,e,"clipSpacePos",t,3,20,0)&&Af(r,e,"uv",t,2,20,12)}function ww(r,e,t,o,n,s){pe(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,p;n instanceof Uint8Array?(a=new Uint8Array(t*o*4),i=r.UNSIGNED_BYTE,p=r.RGBA):(a=new Float32Array(t*o*4),i=r.FLOAT,p=s.internalFormatPackedFloat),a.set(n),O().getNumber("WEBGL_VERSION")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t,o,r.RGBA,i,a)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,p,t,o,0,r.RGBA,i,a)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Iw(r,e,t){pe(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?O().getNumber("WEBGL_VERSION")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t.width,t.height,r.RGBA,r.UNSIGNED_BYTE,t.data)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):O().getNumber("WEBGL_VERSION")===2?pe(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,t)):pe(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),pe(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function vw(r,e,t,o){let n=r.createBuffer();pe(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,n));let i=4*4*e*t;return pe(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),pe(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),pe(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),n}function kw(r,e,t){let o=r,n=new Float32Array(t);return o.bindBuffer(o.PIXEL_PACK_BUFFER,e),o.getBufferSubData(o.PIXEL_PACK_BUFFER,0,n),o.bindBuffer(o.PIXEL_PACK_BUFFER,null),n}function Nw(r,e,t,o){let[n,s]=Ou(e,t),a=4,i=new Uint8Array(k$(e*t,a));return pe(r,()=>r.readPixels(0,0,n,s,o.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function Tw(r,e,t,o,n,s,a,i){let p=r,u=new Float32Array(N$(s,a));return p.bindBuffer(p.PIXEL_PACK_BUFFER,e),p.getBufferSubData(p.PIXEL_PACK_BUFFER,0,u),p.bindBuffer(p.PIXEL_PACK_BUFFER,null),u}function _w(r,e,t){let o=new Float32Array(e*t*4);return pe(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,o)),o}var Lu=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=O().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,US(t,e)):this.gl=zr(t),e=this.gl,O().getNumber("WEBGL_VERSION")===2){let s=e;this.createVertexArray=()=>pe(s,()=>s.createVertexArray()),this.bindVertexArray=a=>pe(s,()=>s.bindVertexArray(a)),this.deleteVertexArray=a=>pe(s,()=>s.deleteVertexArray(a)),this.getVertexArray=()=>pe(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(e!=null){let s=e.getExtension("OES_vertex_array_object");if(s==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>pe(e,()=>s.createVertexArrayOES()),this.bindVertexArray=a=>pe(e,()=>s.bindVertexArrayOES(a)),this.deleteVertexArray=a=>pe(e,()=>s.deleteVertexArrayOES(a)),this.getVertexArray=()=>pe(e,()=>e.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let o="WEBGL_color_buffer_float",n="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),O().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=tc(this.gl,s),Wr(this.gl,a))this.textureHalfFloatExtension=tc(this.gl,a);else if(O().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(o),Wr(this.gl,n))this.colorBufferHalfFloatExtension=tc(this.gl,n);else if(O().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(o="EXT_color_buffer_float",Wr(this.gl,o))this.colorBufferFloatExtension=this.gl.getExtension(o);else if(Wr(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=fw(this.gl),this.indexBuffer=hw(this.gl),this.framebuffer=tw(this.gl),this.textureConfig=vl(this.gl,this.textureHalfFloatExtension)}get debug(){return O().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;pe(e,()=>e.finish()),pe(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),pe(e,()=>e.deleteFramebuffer(this.framebuffer)),pe(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),pe(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),pe(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),gw(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),xw(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),yw(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),Iw(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,o,n){this.throwIfDisposed(),ww(this.gl,e,t,o,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),Cw(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),bw(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(Rf(this.gl,this.framebuffer),this.outputTexture=null),pe(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,o){return this.downloadMatrixDriver(e,()=>Nw(this.gl,t,o,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,o,n,s,a){return Tw(this.gl,e,t,o,n,s,a,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return kw(this.gl,e,t)}createBufferFromTexture(e,t,o){this.bindTextureToFrameBuffer(e);let n=vw(this.gl,t,o,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,o;if(O().getBool("WEBGL_FENCE_API_ENABLED")){let n=e,s=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),o=()=>{let a=n.clientWaitSync(s,0,0);return a===n.ALREADY_SIGNALED||a===n.CONDITION_SATISFIED},t=s}else O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),o=()=>this.isQueryAvailable(t,O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):o=()=>!0;return{query:t,isFencePassed:o}}downloadMatrixFromPackedTexture(e,t,o){return this.downloadMatrixDriver(e,()=>_w(this.gl,t,o))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=dw(t));let o=XS(t);pe(t,()=>t.attachShader(o,this.vertexShader)),pe(t,()=>t.attachShader(o,e)),YS(t,o);let n;return n=Object.assign(o,{vao:this.createVertexArray()}),this.bindVertexArray(n.vao),pe(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),console.assert(Sw(t,n,this.vertexBuffer),"gpgpu_util.bindVertexProgramAttributeStreams not fully successful."),this.debug&&kl(t,n),this.setProgram(n),n}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(pe(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&(this.bindVertexArray(this.program.vao),this.debug&&kl(this.gl,this.program)),pe(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,o=!0){return this.throwIfDisposed(),o?rw(this.gl,e,t):ow(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),pe(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,o){this.throwIfDisposed(),this.throwIfNoProgram(),nw(this.gl,e,t,o)}setOutputMatrixTexture(e,t,o){this.setOutputMatrixTextureDriver(e,o,t)}setOutputPackedMatrixTexture(e,t,o){this.throwIfDisposed();let[n,s]=Qs(t,o);this.setOutputMatrixTextureDriver(e,n,s)}setOutputMatrixWriteRegion(e,t,o,n){this.setOutputMatrixWriteRegionDriver(o,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,o,n){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&kl(this.gl,this.program),rc(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}pe(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),pe(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=tc(this.gl,O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.createQuery();return o.beginQuery(n.TIME_ELAPSED_EXT,s),s}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,o=this.getQueryTimerExtensionWebGL2();t.endQuery(o.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let o=this.gl;return o.getQueryParameter(e,o.QUERY_RESULT)/1e6}else{let o=this.getQueryTimerExtensionWebGL1();return o.getQueryObjectEXT(e,o.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.getQueryParameter(e,o.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let o=this.getQueryTimerExtensionWebGL1(),n=o.getQueryObjectEXT(e,o.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=G8(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:o}=this.itemsToPoll[t];o()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let o;"setTimeoutCustom"in O().platform&&(o=O().platform.setTimeoutCustom.bind(O().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,o)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),Nl(this.gl,e,this.framebuffer),this.debug&&rc(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Nl(this.gl,this.outputTexture,this.framebuffer),this.debug&&rc(this.gl)):Rf(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let o=t();return this.unbindTextureToFrameBuffer(),o}setOutputMatrixTextureDriver(e,t,o){this.throwIfDisposed();let n=this.gl;Nl(n,e,this.framebuffer),this.debug&&rc(n),this.outputTexture=e,pe(n,()=>n.viewport(0,0,t,o)),pe(n,()=>n.scissor(0,0,t,o))}setOutputMatrixWriteRegionDriver(e,t,o,n){this.throwIfDisposed(),pe(this.gl,()=>this.gl.scissor(e,t,o,n))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function G8(r){let e=0;for(;e`${r}.${t}`)}function Et(r,e){return e===1?[r]:Ew(r,e)}function $E(r,e){if(r===1)return"rc";let t="";for(let o=0;or.bindTexture(i,a)),ce(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),ce(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),ce(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),ce(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),P().getNumber("WEBGL_VERSION")===1?ce(r,()=>r.texImage2D(i,0,o,e,t,0,n,s,null)):ce(r,()=>r.texStorage2D(i,1,o,e,t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:a,texShape:[t,e]}}function th(r){return r.internalFormatFloat}function FI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,th(o),o.textureFormatFloat,r.FLOAT)}function rh(r){return r.internalFormatHalfFloat}function PI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,rh(o),o.textureFormatFloat,o.textureTypeHalfFloat)}function oh(r){return r.downloadTextureFormat}function OI(r,e,t,o){let[n,s]=fp(e,t);return Yl(r,n,s,oh(o),r.RGBA,r.UNSIGNED_BYTE)}function nh(r){return r.internalFormatPackedFloat}function MI(r,e,t,o){let[n,s]=Ea(e,t);return Yl(r,n,s,nh(o),r.RGBA,r.FLOAT)}function sh(r){return r.internalFormatPackedHalfFloat}function LI(r,e,t,o){let[n,s]=Ea(e,t);return Yl(r,n,s,sh(o),r.RGBA,o.textureTypeHalfFloat)}function BI(r,e,t){return ce(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),Hf(r,e,"clipSpacePos",t,3,20,0)&&Hf(r,e,"uv",t,2,20,12)}function zI(r,e,t,o,n,s){ce(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,p;n instanceof Uint8Array?(a=new Uint8Array(t*o*4),i=r.UNSIGNED_BYTE,p=r.RGBA):(a=new Float32Array(t*o*4),i=r.FLOAT,p=s.internalFormatPackedFloat),a.set(n),P().getNumber("WEBGL_VERSION")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t,o,r.RGBA,i,a)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,p,t,o,0,r.RGBA,i,a)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function VI(r,e,t){ce(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?P().getNumber("WEBGL_VERSION")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,t.width,t.height,r.RGBA,r.UNSIGNED_BYTE,t.data)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):P().getNumber("WEBGL_VERSION")===2?ce(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,t)):ce(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),ce(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function WI(r,e,t,o){let n=r.createBuffer();ce(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,n));let i=4*4*e*t;return ce(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),ce(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),ce(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),n}function UI(r,e,t){let o=r,n=new Float32Array(t);return o.bindBuffer(o.PIXEL_PACK_BUFFER,e),o.getBufferSubData(o.PIXEL_PACK_BUFFER,0,n),o.bindBuffer(o.PIXEL_PACK_BUFFER,null),n}function GI(r,e,t,o){let[n,s]=fp(e,t),a=4,i=new Uint8Array(XE(e*t,a));return ce(r,()=>r.readPixels(0,0,n,s,o.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function HI(r,e,t,o,n,s,a,i){let p=r,u=new Float32Array(YE(s,a));return p.bindBuffer(p.PIXEL_PACK_BUFFER,e),p.getBufferSubData(p.PIXEL_PACK_BUFFER,0,u),p.bindBuffer(p.PIXEL_PACK_BUFFER,null),u}function KI(r,e,t){let o=new Float32Array(e*t*4);return ce(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,o)),o}var xp=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=P().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,iI(t,e)):this.gl=Gr(t),e=this.gl,P().getNumber("WEBGL_VERSION")===2){let s=e;this.createVertexArray=()=>ce(s,()=>s.createVertexArray()),this.bindVertexArray=a=>ce(s,()=>s.bindVertexArray(a)),this.deleteVertexArray=a=>ce(s,()=>s.deleteVertexArray(a)),this.getVertexArray=()=>ce(s,()=>s.getParameter(s.VERTEX_ARRAY_BINDING))}else if(e!=null){let s=e.getExtension("OES_vertex_array_object");if(s==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>ce(e,()=>s.createVertexArrayOES()),this.bindVertexArray=a=>ce(e,()=>s.bindVertexArrayOES(a)),this.deleteVertexArray=a=>ce(e,()=>s.deleteVertexArrayOES(a)),this.getVertexArray=()=>ce(e,()=>e.getParameter(s.VERTEX_ARRAY_BINDING_OES))}let o="WEBGL_color_buffer_float",n="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),P().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=kc(this.gl,s),Hr(this.gl,a))this.textureHalfFloatExtension=kc(this.gl,a);else if(P().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(o),Hr(this.gl,n))this.colorBufferHalfFloatExtension=kc(this.gl,n);else if(P().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(o="EXT_color_buffer_float",Hr(this.gl,o))this.colorBufferFloatExtension=this.gl.getExtension(o);else if(Hr(this.gl,n))this.colorBufferHalfFloatExtension=this.gl.getExtension(n);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=DI(this.gl),this.indexBuffer=AI(this.gl),this.framebuffer=bI(this.gl),this.textureConfig=Kl(this.gl,this.textureHalfFloatExtension)}get debug(){return P().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");let e=this.gl;ce(e,()=>e.finish()),ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ce(e,()=>e.deleteFramebuffer(this.framebuffer)),ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,null)),ce(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)),ce(e,()=>e.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(e,t){return this.throwIfDisposed(),FI(this.gl,e,t,this.textureConfig)}createFloat16MatrixTexture(e,t){return this.throwIfDisposed(),PI(this.gl,e,t,this.textureConfig)}createUnsignedBytesMatrixTexture(e,t){return this.throwIfDisposed(),OI(this.gl,e,t,this.textureConfig)}uploadPixelDataToTexture(e,t){this.throwIfDisposed(),VI(this.gl,e,t)}uploadDenseMatrixToTexture(e,t,o,n){this.throwIfDisposed(),zI(this.gl,e,t,o,n,this.textureConfig)}createFloat16PackedMatrixTexture(e,t){return this.throwIfDisposed(),LI(this.gl,e,t,this.textureConfig)}createPackedMatrixTexture(e,t){return this.throwIfDisposed(),MI(this.gl,e,t,this.textureConfig)}deleteMatrixTexture(e){this.throwIfDisposed(),this.outputTexture===e&&(Kf(this.gl,this.framebuffer),this.outputTexture=null),ce(this.gl,()=>this.gl.deleteTexture(e))}downloadByteEncodedFloatMatrixFromOutputTexture(e,t,o){return this.downloadMatrixDriver(e,()=>GI(this.gl,t,o,this.textureConfig))}downloadPackedMatrixFromBuffer(e,t,o,n,s,a){return HI(this.gl,e,t,o,n,s,a,this.textureConfig)}downloadFloat32MatrixFromBuffer(e,t){return UI(this.gl,e,t)}createBufferFromTexture(e,t,o){this.bindTextureToFrameBuffer(e);let n=WI(this.gl,t,o,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}createAndWaitForFence(){let e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t,o;if(P().getBool("WEBGL_FENCE_API_ENABLED")){let n=e,s=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),o=()=>{let a=n.clientWaitSync(s,0,0);return a===n.ALREADY_SIGNALED||a===n.CONDITION_SATISFIED},t=s}else P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),o=()=>this.isQueryAvailable(t,P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):o=()=>!0;return{query:t,isFencePassed:o}}downloadMatrixFromPackedTexture(e,t,o){return this.downloadMatrixDriver(e,()=>KI(this.gl,t,o))}createProgram(e){this.throwIfDisposed();let t=this.gl;this.vertexShader==null&&(this.vertexShader=RI(t));let o=dI(t);ce(t,()=>t.attachShader(o,this.vertexShader)),ce(t,()=>t.attachShader(o,e)),fI(t,o);let n=Object.assign(o,{vao:this.createVertexArray()});return this.debug&&ql(t,n),n}buildVao(e){this.setProgram(e),this.bindVertexArray(e.vao);let t=this.gl;ce(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),BI(t,e,this.vertexBuffer)}deleteProgram(e){this.throwIfDisposed(),e===this.program&&(this.program=null),e!=null&&(ce(this.gl,()=>this.gl.deleteProgram(e)),this.deleteVertexArray(e.vao))}setProgram(e){this.throwIfDisposed(),this.program=e,this.program!=null&&this.debug&&ql(this.gl,this.program),ce(this.gl,()=>this.gl.useProgram(e))}getUniformLocation(e,t,o=!0){return this.throwIfDisposed(),o?CI(this.gl,e,t):wI(this.gl,e,t)}getAttributeLocation(e,t){return this.throwIfDisposed(),ce(this.gl,()=>this.gl.getAttribLocation(e,t))}getUniformLocationNoThrow(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}setInputMatrixTexture(e,t,o){this.throwIfDisposed(),this.throwIfNoProgram(),SI(this.gl,e,t,o)}setOutputMatrixTexture(e,t,o){this.setOutputMatrixTextureDriver(e,o,t)}setOutputPackedMatrixTexture(e,t,o){this.throwIfDisposed();let[n,s]=Ea(t,o);this.setOutputMatrixTextureDriver(e,n,s)}setOutputMatrixWriteRegion(e,t,o,n){this.setOutputMatrixWriteRegionDriver(o,e,n,t)}setOutputPackedMatrixWriteRegion(e,t,o,n){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&ql(this.gl,this.program),Nc(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();let e=this.gl;if(this.debug){let t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}ce(e,()=>e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ce(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=kc(this.gl,P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.createQuery();return o.beginQuery(n.TIME_ELAPSED_EXT,s),s}let e=this.getQueryTimerExtensionWebGL1(),t=e.createQueryEXT();return e.beginQueryEXT(e.TIME_ELAPSED_EXT,t),t}endQuery(){if(P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){let t=this.gl,o=this.getQueryTimerExtensionWebGL2();t.endQuery(o.TIME_ELAPSED_EXT);return}let e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(e){return await y.repeatedTry(()=>this.disposed||this.isQueryAvailable(e,P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(e,P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(e,t){if(t===0)return null;if(t===2){let o=this.gl;return o.getQueryParameter(e,o.QUERY_RESULT)/1e6}else{let o=this.getQueryTimerExtensionWebGL1();return o.getQueryObjectEXT(e,o.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(e,t){if(t===0)return!0;if(t===2){let o=this.gl,n=this.getQueryTimerExtensionWebGL2(),s=o.getQueryParameter(e,o.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),s&&!this.disjoint}else{let o=this.getQueryTimerExtensionWebGL1(),n=o.getQueryObjectEXT(e,o.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),n&&!this.disjoint}}pollFence(e){return new Promise(t=>{this.addItemToPoll(()=>e.isFencePassed(),()=>t())})}pollItems(){let e=oZ(this.itemsToPoll.map(t=>t.isDoneFn));for(let t=0;t<=e;++t){let{resolveFn:o}=this.itemsToPoll[t];o()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}addItemToPoll(e,t){if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1)return;let o;"setTimeoutCustom"in P().platform&&(o=P().platform.setTimeoutCustom.bind(P().platform)),y.repeatedTry(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,o)}bindTextureToFrameBuffer(e){this.throwIfDisposed(),jl(this.gl,e,this.framebuffer),this.debug&&Nc(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(jl(this.gl,this.outputTexture,this.framebuffer),this.debug&&Nc(this.gl)):Kf(this.gl,this.framebuffer)}downloadMatrixDriver(e,t){this.bindTextureToFrameBuffer(e);let o=t();return this.unbindTextureToFrameBuffer(),o}setOutputMatrixTextureDriver(e,t,o){this.throwIfDisposed();let n=this.gl;jl(n,e,this.framebuffer),this.debug&&Nc(n),this.outputTexture=e,ce(n,()=>n.viewport(0,0,t,o)),ce(n,()=>n.scissor(0,0,t,o))}setOutputMatrixWriteRegionDriver(e,t,o,n){this.throwIfDisposed(),ce(this.gl,()=>this.gl.scissor(e,t,o,n))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}};function oZ(r){let e=0;for(;e`${r}.${t}`)}function Rt(r,e){return e===1?[r]:jI(r,e)}function eD(r,e){if(r===1)return"rc";let t="";for(let o=0;o= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}), cEdge ? 0. : getA(${t[1]}), rEdge ? 0. : getA(${t[2]}), - rEdge || cEdge ? 0. : getA(${t[3]})`}};var mc=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let o="";for(let n=0;n<4;n++){let s="thisRC = rc;";n%2===1&&(s+="thisRC.z += 1;"),n>1&&(s+="thisRC.y += 1;"),o+=` + rEdge || cEdge ? 0. : getA(${t[3]})`}};var Oc=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length);let o="";for(let n=0;n<4;n++){let s="thisRC = rc;";n%2===1&&(s+="thisRC.z += 1;"),n>1&&(s+="thisRC.y += 1;"),o+=` ${s} ${n>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); @@ -1146,8 +1146,8 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${n>0?"}":""} `}this.userCode=` - ${H8(t,this.enableShapeUniforms)} - ${this.enableShapeUniforms?ac():sc(e)} + ${nZ(t,this.enableShapeUniforms)} + ${this.enableShapeUniforms?Ec():$c(e)} void main() { ivec3 rc = getOutputCoords(); @@ -1162,12 +1162,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function H8(r,e){return` + `}};function nZ(r,e){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { - ${e?A$(["r","c","d"],"inputShape"):ps(["r","c","d"],r)} + ${e?tR(["r","c","d"],"inputShape"):Os(["r","c","d"],r)} return ivec3(r, c, d); } - `}var Yf=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,o){let n=AE(t,o),s=RE(e,n,o);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=EE(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,o);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let p=this.freeTextures[s].shift();return this.usedTextures[s].push(p),p}let i;return n===Zt.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===Zt.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===Zt.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===Zt.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===Zt.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,o,n){if(this.freeTextures==null)return;let s=AE(o,n),a=RE(t,s,n);a in this.freeTextures||(this.freeTextures[a]=[]);let i=EE(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,n),p=O().get("WEBGL_DELETE_TEXTURE_THRESHOLD");p!==-1&&this._numBytesAllocated>p?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function K8(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;if(e===t.RGBA8)return 4;throw new Error(`Unknown internal format ${e}`)}function EE(r,e,t,o,n){let s=q8(e,o),a;if(n){let[p,u]=Qs(r[0],r[1]);a=p*u}else{let[p,u]=Ou(r[0],r[1]);a=p*u}let i=K8(t,s);return a*i}function q8(r,e){switch(r){case Zt.PACKED_2X2_FLOAT32:return Gf(e);case Zt.PACKED_2X2_FLOAT16:return Hf(e);case Zt.UNPACKED_FLOAT32:return zf(e);case Zt.UNPACKED_FLOAT16:return Wf(e);case Zt.PACKED_4X1_UNSIGNED_BYTE:return Uf(e);default:throw new Error(`Unknown physical texture type ${r}`)}}function j8(r){return O().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Zt.PACKED_2X2_FLOAT32:Zt.UNPACKED_FLOAT32:r?Zt.PACKED_2X2_FLOAT16:Zt.UNPACKED_FLOAT16}function AE(r,e){if(r===ur.UPLOAD)return Zt.PACKED_2X2_FLOAT32;if(r===ur.RENDER||r==null)return j8(e);if(r===ur.DOWNLOAD||r===ur.PIXELS)return Zt.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function RE(r,e,t){return`${r[0]}_${r[1]}_${e}_${t}`}var Jt=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=` + `}var ch=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}acquireTexture(e,t,o){let n=rD(t,o),s=oD(e,n,o);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=tD(e,n,this.gpgpu.gl,this.gpgpu.textureConfig,o);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let p=this.freeTextures[s].pop();return this.usedTextures[s].push(p),p}let i;return n===er.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):n===er.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):n===er.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):n===er.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):n===er.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,o,n){if(this.freeTextures==null)return;let s=rD(o,n),a=oD(t,s,n);a in this.freeTextures||(this.freeTextures[a]=[]);let i=tD(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,n),p=P().get("WEBGL_DELETE_TEXTURE_THRESHOLD");p!==-1&&this._numBytesAllocated>p?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u&&u.indexOf(e);if(c==null||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function sZ(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;if(e===t.RGBA8)return 4;throw new Error(`Unknown internal format ${e}`)}function tD(r,e,t,o,n){let s=aZ(e,o),a;if(n){let[p,u]=Ea(r[0],r[1]);a=p*u}else{let[p,u]=fp(r[0],r[1]);a=p*u}let i=sZ(t,s);return a*i}function aZ(r,e){switch(r){case er.PACKED_2X2_FLOAT32:return nh(e);case er.PACKED_2X2_FLOAT16:return sh(e);case er.UNPACKED_FLOAT32:return th(e);case er.UNPACKED_FLOAT16:return rh(e);case er.PACKED_4X1_UNSIGNED_BYTE:return oh(e);default:throw new Error(`Unknown physical texture type ${r}`)}}function iZ(r){return P().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?er.PACKED_2X2_FLOAT32:er.UNPACKED_FLOAT32:r?er.PACKED_2X2_FLOAT16:er.UNPACKED_FLOAT16}function rD(r,e){if(r===mr.UPLOAD)return er.PACKED_2X2_FLOAT32;if(r===mr.RENDER||r==null)return iZ(e);if(r===mr.DOWNLOAD||r===mr.PIXELS)return er.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function oD(r,e,t){return`${r[0]}_${r[1]}_${e}_${t}`}var tr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${t} } @@ -1178,11 +1178,11 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}},zt="if (isnan(x)) return x;",DE="return x;",Aw="return abs(x);";var FE="return (x >= 0.0) ? x : (exp(x) - 1.0);",OE=zt+` + `}},Ut="if (isnan(x)) return x;",nD="return x;",XI="return abs(x);";var sD="return (x >= 0.0) ? x : (exp(x) - 1.0);",aD=Ut+` return (x < 0.0) ? 0.0 : x; -`,PE=zt+` +`,iD=Ut+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,Zs="return x;",ME="return 1.0 / (1.0 + exp(-1.0 * x));";var BE="return x;",VE=` +`,Ra="return x;",uD="return 1.0 / (1.0 + exp(-1.0 * x));";var cD="return x;",lD=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -1191,7 +1191,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,zE=` +`,mD=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1201,7 +1201,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,WE=` +`,dD=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -1211,7 +1211,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.a = isNaN.a ? x.a : result.a; return result; -`,UE="return 1.0 / (1.0 + exp(-1.0 * x));",Er=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=` +`,fD="return 1.0 / (1.0 + exp(-1.0 * x));",Ar=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${t} } @@ -1222,17 +1222,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(y); } - `}};var Qf=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=lt(this.outputShape.length);let t=e.length,o=Et("rc",t),n=$e(t),s=$E(t,o),a=o.slice(-2),i=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=` + `}};var lh=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=ut(this.outputShape.length);let t=e.length,o=Rt("rc",t),n=Re(t),s=eD(t,o),a=o.slice(-2),i=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=` void main() { ${n} rc = getOutputCoords(); vec4 packedInput = getA(${s}); setOutput(getChannel(packedInput, ${i})); } - `}};var Y8=Vt.whereImpl,Q8=1e-7,Z8=1e-4,Zf={};function J8(r){return r in Zf||(Zf[r]={}),Zf[r]}var eY=O().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),tY=600;function rY(){return O().global.screen==null?1024:O().global.screen.height*O().global.screen.width*window.devicePixelRatio*tY/1024/1024}var Vi=class extends Zr{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!O().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof Lu)t=e;else{let o=zr(O().getNumber("WEBGL_VERSION"),e);t=new Lu(o)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let o=zr(O().getNumber("WEBGL_VERSION"));t=new Lu(o),this.binaryCache=J8(O().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Yf(this.gpgpu),this.numMBBeforeWarning=rY(),this.texData=new Fo(this,sr())}nextDataId(){return Vi.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,o,n,s,a){let i=this.makeTensorInfo(t,o),p=this.texData.get(i.dataId);p.isPacked=!1,p.texture={texture:e,texShape:[n,s]},p.texShape=[n,s];let u=oc(t),c=new Tl(u,!1,a),l=this.runWebGLProgram(c,[i],o,[[n,s]]);return l.shape=t,p.texture=null,this.disposeIntermediateTensorInfo(i),l.dataId}write(e,t,o){if((O().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||O().getBool("DEBUG"))&&this.checkNumericalProblems(e),o==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:o,values:e,usage:ur.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,o,n,s){if(O().getBool("DEBUG")&&this.checkNumericalProblems(t),n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:o,dtype:n,values:t,usage:ur.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:o,dtype:n,complexTensorInfos:s,slice:a,shape:i,isPacked:p}=t;if(a!=null){let m;p?m=new Er(i,Zs):m=new Jt(i,Zs);let d=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:n}],n),f=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),f}if(o!=null)return this.convertAndCacheOnCPU(e);if(n==="string")return o;let u=this.activeTimers!=null,c;u&&(c=y.now());let l;if(n==="complex64"){let m=this.readSync(s.real.dataId),d=this.readSync(s.imag.dataId);l=S.mergeRealAndImagArrays(m,d)}else l=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,l)}async read(e){if(this.pendingRead.has(e)){let f=this.pendingRead.get(e);return new Promise(h=>f.push(h))}let t=this.texData.get(e),{values:o,shape:n,slice:s,dtype:a,complexTensorInfos:i,isPacked:p}=t;if(s!=null){let f;p?f=new Er(n,Zs):f=new Jt(n,Zs);let h=this.runWebGLProgram(f,[{dataId:e,shape:n,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(o!=null)return this.convertAndCacheOnCPU(e);if(O().getBool("DEBUG")&&!O().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&O().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,c;if(a!=="complex64"&&O().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let f=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(f.texture.texture,...Il(n))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let l;if(a==="complex64"){let f=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=f[0],g=f[1];l=S.mergeRealAndImagArrays(h,g)}else if(u==null)l=this.getValuesFromTexture(e);else{let f=y.sizeFromShape(n);l=this.gpgpu.downloadFloat32MatrixFromBuffer(u,f)}if(c!=null&&this.disposeIntermediateTensorInfo(c),u!=null){let f=this.gpgpu.gl;pe(f,()=>f.deleteBuffer(u))}let m=this.convertAndCacheOnCPU(e,l),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(f=>f(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&sr().removeDataId(e,this),this.pendingDeletes--),m}readToGPU(e,t={}){let o=this.texData.get(e),{values:n,shape:s,slice:a,dtype:i,isPacked:p,texture:u}=o;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(a!=null){let d;p?d=new Er(s,Zs):d=new Jt(s,Zs);let f=this.runWebGLProgram(d,[{dataId:e,shape:s,dtype:i}],i),h=this.readToGPU(f,t);return this.disposeIntermediateTensorInfo(f),h}if(u==null)throw n!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let c=this.decode(e,t.customTexShape),l=sr().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:l},m.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let o=t.map(n=>y.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return le(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(p=>p.query)).filter(p=>p!=null),a=y.flatten(this.activeTimers.map(p=>p.name)).filter(p=>p!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let p=await Promise.all(s);i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(O().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:o}=this.texData.get(e);return o!=null&&(this.disposeData(o.real.dataId,t),this.disposeData(o.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:o,texShape:n,usage:s,isPacked:a,slice:i}=this.texData.get(e),p=i&&i.origDataId||e,u=this.dataRefCount.get(p);u>1?this.dataRefCount.set(p,u-1):(this.dataRefCount.delete(p),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,o),this.textureManager.releaseTexture(t,n,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=eY){return O().getBool("WEBGL_CPU_FORWARD")&&e.every(o=>this.texData.get(o.dataId).texture==null&&y.sizeFromShape(o.shape)0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,o){return sr().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,o),this)}unpackTensor(e){let t=new Qf(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new Xf(e.shape),o=!0;return this.runWebGLProgram(t,[e],e.dtype,null,o)}packedReshape(e,t){let o=[Ua(e.shape),...Ga(e.shape)],n={dtype:e.dtype,shape:o,dataId:e.dataId},s=[Ua(t),...Ga(t)],a=new mc(s,o),i=!0,p=[o],u=this.runWebGLProgram(a,[n],e.dtype,p,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}decode(e,t){let o=this.texData.get(e),{isPacked:n,shape:s,dtype:a}=o;if(t!=null){let m=y.sizeFromShape(s),d=t[0]*t[1]*4;y.assert(m<=d,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=oc(s),p;n?p=new Mf(i):p=new Pf(i);let u=!0,c=[t!=null?t:Il(i)],l=this.runWebGLProgram(p,[{shape:i,dtype:a,dataId:e}],a,c,u,t);return{dtype:a,shape:s,dataId:l.dataId}}runWebGLProgram(e,t,o,n,s=!1,a){let i=this.makeTensorInfo(e.outputShape,o),p=this.texData.get(i.dataId);if(e.packedOutput&&(p.isPacked=!0),e.outPackingScheme===Li.DENSE){let x=a!=null?a:Il(e.outputShape);p.texShape=x.map(b=>b*2)}if(e.outTexUsage!=null&&(p.usage=e.outTexUsage),y.sizeFromShape(i.shape)===0)return p.values=y.getTypedArrayFromDType(i.dtype,0),i;let u=[],c=t.map(x=>{if(x.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(x.dataId);if(b.texture==null){if(!e.packedInputs&&y.sizeFromShape(x.shape)<=O().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!e.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),u.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!Bi(b.shape,x.shape)){let C=x,w=x.shape;x.shape=b.shape,x=this.packedReshape(x,w),u.push(x),b=this.texData.get(x.dataId),C.shape=w}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let l={shape:i.shape,texData:p,isUniform:!1},m=B$(e,c,l),d=this.getAndSaveBinary(m,()=>M$(this.gpgpu,e,c,l)),f=this.activeTimers!=null,h;f&&(h=this.startTimer()),O().get("ENGINE_COMPILE_ONLY")||L$(this.gpgpu,d,c,l,n),u.forEach(x=>this.disposeIntermediateTensorInfo(x)),f&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));let g=O().get("WEBGL_FLUSH_THRESHOLD");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!O().getBool("WEBGL_LAZILY_UNPACK")&&p.isPacked&&s===!1){let x=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),x}return i}compileAndRun(e,t,o,n,s=!1){return o=o||t[0].dtype,this.runWebGLProgram(e,t,o,n,s)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(O().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=Ee(()=>{if(!O().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=O().getBool("DEBUG");O().set("DEBUG",!1);let t=this.abs(Ce(1e-8)).dataSync()[0];if(O().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Q8:Z8}uploadToGPU(e){let t=this.texData.get(e),{shape:o,dtype:n,values:s,texture:a,usage:i,isPacked:p}=t;if(a!=null)return;let u=this.activeTimers!=null,c;u&&(c=y.now());let l=t.texShape;if(l==null&&(l=sw(o,p),t.texShape=l),s!=null){let m=oc(o),d,f=l[1],h=l[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(p||!g)&&([f,h]=Qs(l[0],l[1])),p?d=new Vf(m,g):d=new Tl(m,g);let x=g?[h,f]:l,b=this.makeTensorInfo(x,n),C=this.texData.get(b.dataId);g?C.usage=ur.PIXELS:C.usage=ur.UPLOAD,C.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),f,h,s);let w=[[h,f]],k=!0,_=this.runWebGLProgram(d,[b],n,w,k),E=this.texData.get(_.dataId);t.texShape=E.texShape,t.isPacked=E.isPacked,t.usage=E.usage,O().get("ENGINE_COMPILE_ONLY")?this.disposeData(_.dataId):(t.texture=E.texture,t.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),u&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(l,i,n,p);t.texture=m}}convertAndCacheOnCPU(e,t){let o=this.texData.get(e),{dtype:n}=o;return t!=null&&(o.values=oY(t,n)),o.values}acquireTexture(e,t,o,n){if(this.numBytesInGPU+=this.computeBytes(e,o),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*y.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let o=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(s){throw s}});e.push(o)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await AC(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Ef(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let[,e]of Object.entries(this.binaryCache)){let{uniformLocations:t,customUniformLocations:o,infLoc:n,nanLoc:s,inShapesLocations:a,inTexShapesLocations:i,outShapeLocation:p,outShapeStridesLocation:u,outTexShapeLocation:c}=mw(this.gpgpu,e.program,e.webGLProgram);e.uniformLocations=t,e.customUniformLocations=o,e.infLoc=n,e.nanLoc=s,e.inShapesLocations=a,e.inTexShapesLocations=i,e.outShapeLocation=p,e.outShapeStridesLocation=u,e.outTexShapeLocation=c}}createTensorFromGPUData(e,t,o){e.channels=e.channels||"RGBA";let{texture:n,height:s,width:a,channels:i}=e,p=sr().backend;if(!p.gpgpu.gl.isTexture(n))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let u=p.writeTexture(n,t,o,s,a,i);return sr().makeTensorFromDataId(u,t,o,p)}};Vi.nextDataId=0;function oY(r,e){if(e==="float32"||e==="complex64")return r;if(e==="int32"||e==="bool"){let t=e==="int32"?new Int32Array(r.length):new Uint8Array(r.length);for(let o=0;onew Vi,2);var CJe={forceHalfFloat:GE};var dc=` + `}};var pZ=Wt.whereImpl,cZ=1e-7,lZ=1e-4,mh={};function mZ(r){return r in mh||(mh[r]={}),mh[r]}var dZ=P().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),fZ=600;function hZ(){return P().global.screen==null?1024:P().global.screen.height*P().global.screen.width*window.devicePixelRatio*fZ/1024/1024}var hu=class extends ro{nextDataId(){return hu.nextDataId++}constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!P().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof xp)t=e;else{let o=Gr(P().getNumber("WEBGL_VERSION"),e);t=new xp(o)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let o=Gr(P().getNumber("WEBGL_VERSION"));t=new xp(o),this.binaryCache=mZ(P().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new ch(this.gpgpu),this.numMBBeforeWarning=hZ(),this.texData=new Lo(this,ur())}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,o,n,s,a){let i=this.makeTensorInfo(t,o),p=this.texData.get(i.dataId);p.isPacked=!1,p.texture={texture:e,texShape:[n,s]},p.texShape=[n,s];let u=Tc(t),c=new Xl(u,!1,a),l=this.runWebGLProgram(c,[i],o,[[n,s]]);return l.shape=t,p.texture=null,this.disposeIntermediateTensorInfo(i),l.dataId}write(e,t,o){if((P().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||P().getBool("DEBUG"))&&this.checkNumericalProblems(e),o==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:o,values:e,usage:mr.UPLOAD,refCount:1}),n}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,o,n,s){if(P().getBool("DEBUG")&&this.checkNumericalProblems(t),n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:o,dtype:n,values:t,usage:mr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:o,dtype:n,complexTensorInfos:s,slice:a,shape:i,isPacked:p}=t;if(a!=null){let m;p?m=new Ar(i,Ra):m=new tr(i,Ra);let d=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:n}],n),f=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),f}if(o!=null)return this.convertAndCacheOnCPU(e);if(n==="string")return o;let u=this.activeTimers!=null,c;u&&(c=y.now());let l;if(n==="complex64"){let m=this.readSync(s.real.dataId),d=this.readSync(s.imag.dataId);l=C.mergeRealAndImagArrays(m,d)}else l=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,l)}async read(e){if(this.pendingRead.has(e)){let f=this.pendingRead.get(e);return new Promise(h=>f.push(h))}let t=this.texData.get(e),{values:o,shape:n,slice:s,dtype:a,complexTensorInfos:i,isPacked:p}=t;if(s!=null){let f;p?f=new Ar(n,Ra):f=new tr(n,Ra);let h=this.runWebGLProgram(f,[{dataId:e,shape:n,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(o!=null)return this.convertAndCacheOnCPU(e);if(P().getBool("DEBUG")&&!P().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&P().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,c;if(a!=="complex64"&&P().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let f=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(f.texture.texture,...Hl(n))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let l;if(a==="complex64"){let f=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=f[0],g=f[1];l=C.mergeRealAndImagArrays(h,g)}else if(u==null)l=this.getValuesFromTexture(e);else{let f=y.sizeFromShape(n);l=this.gpgpu.downloadFloat32MatrixFromBuffer(u,f)}if(c!=null&&this.disposeIntermediateTensorInfo(c),u!=null){let f=this.gpgpu.gl;ce(f,()=>f.deleteBuffer(u))}let m=this.convertAndCacheOnCPU(e,l),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(f=>f(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&ur().removeDataId(e,this),this.pendingDeletes--),m}readToGPU(e,t={}){let o=this.texData.get(e),{values:n,shape:s,slice:a,dtype:i,isPacked:p,texture:u}=o;if(i==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(a!=null){let d;p?d=new Ar(s,Ra):d=new tr(s,Ra);let f=this.runWebGLProgram(d,[{dataId:e,shape:s,dtype:i}],i),h=this.readToGPU(f,t);return this.disposeIntermediateTensorInfo(f),h}if(u==null)throw n!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");let c=this.decode(e,t.customTexShape),l=ur().makeTensorFromTensorInfo(c),m=this.texData.get(c.dataId);return Object.assign({tensorRef:l},m.texture)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let o=t.map(n=>y.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return me(e.shape,e.dtype,t)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}time(e){let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(p=>p.query)).filter(p=>p!=null),a=y.flatten(this.activeTimers.map(p=>p.name)).filter(p=>p!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let p=await Promise.all(s);i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(P().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:o}=this.texData.get(e);return o!=null&&(this.disposeData(o.real.dataId,t),this.disposeData(o.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:o,texShape:n,usage:s,isPacked:a,slice:i}=this.texData.get(e),p=i&&i.origDataId||e,u=this.dataRefCount.get(p);u>1?this.dataRefCount.set(p,u-1):(this.dataRefCount.delete(p),t!=null&&(this.numBytesInGPU-=this.computeBytes(n,o),this.textureManager.releaseTexture(t,n,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}getDataInfo(e){return this.texData.get(e)}shouldExecuteOnCPU(e,t=dZ){return P().getBool("WEBGL_CPU_FORWARD")&&e.every(o=>this.texData.get(o.dataId).texture==null&&y.sizeFromShape(o.shape)0&&y.isString(o[0])){let s=o.map(a=>y.encodeString(a));n=this.write(s,e,t)}else n=this.write(o,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}makeOutput(e,t,o){return ur().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,o),this)}unpackTensor(e){let t=new lh(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new ph(e.shape),o=!0;return this.runWebGLProgram(t,[e],e.dtype,null,o)}packedReshape(e,t){let o=[di(e.shape),...fi(e.shape)],n={dtype:e.dtype,shape:o,dataId:e.dataId},s=[di(t),...fi(t)],a=new Oc(s,o),i=!0,p=[o],u=this.runWebGLProgram(a,[n],e.dtype,p,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}decode(e,t){let o=this.texData.get(e),{isPacked:n,shape:s,dtype:a}=o;if(t!=null){let m=y.sizeFromShape(s),d=t[0]*t[1]*4;y.assert(m<=d,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}let i=Tc(s),p;n?p=new Qf(i):p=new Yf(i);let u=!0,c=[t!=null?t:Hl(i)],l=this.runWebGLProgram(p,[{shape:i,dtype:a,dataId:e}],a,c,u,t);return{dtype:a,shape:s,dataId:l.dataId}}runWebGLProgram(e,t,o,n,s=!1,a){let i=this.makeTensorInfo(e.outputShape,o),p=this.texData.get(i.dataId);if(e.packedOutput&&(p.isPacked=!0),e.outPackingScheme===du.DENSE){let x=a!=null?a:Hl(e.outputShape);p.texShape=x.map(b=>b*2)}if(e.outTexUsage!=null&&(p.usage=e.outTexUsage),y.sizeFromShape(i.shape)===0)return p.values=y.getTypedArrayFromDType(i.dtype,0),i;let u=[],c=t.map(x=>{if(x.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let b=this.texData.get(x.dataId);if(b.texture==null){if(!e.packedInputs&&y.sizeFromShape(x.shape)<=P().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:x.shape,texData:null,isUniform:!0,uniformValues:b.values};e.packedInputs&&(b.isPacked=!0,b.shape=x.shape)}if(this.uploadToGPU(x.dataId),!!b.isPacked!=!!e.packedInputs)x=b.isPacked?this.unpackTensor(x):this.packTensor(x),u.push(x),b=this.texData.get(x.dataId);else if(b.isPacked&&!fu(b.shape,x.shape)){let w=x,S=x.shape;x.shape=b.shape,x=this.packedReshape(x,S),u.push(x),b=this.texData.get(x.dataId),w.shape=S}return{shape:x.shape,texData:b,isUniform:!1}});this.uploadToGPU(i.dataId);let l={shape:i.shape,texData:p,isUniform:!1},m=pR(e,c,l),d=this.getAndSaveBinary(m,()=>iR(this.gpgpu,e,c,l)),f=this.activeTimers!=null,h;f&&(h=this.startTimer()),P().get("ENGINE_COMPILE_ONLY")||uR(this.gpgpu,d,c,l,n),u.forEach(x=>this.disposeIntermediateTensorInfo(x)),f&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));let g=P().get("WEBGL_FLUSH_THRESHOLD");if(g>0){let x=y.now();x-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=x)}if(!P().getBool("WEBGL_LAZILY_UNPACK")&&p.isPacked&&s===!1){let x=this.unpackTensor(i);return this.disposeIntermediateTensorInfo(i),x}return i}compileAndRun(e,t,o,n,s=!1){return o=o||t[0].dtype,this.runWebGLProgram(e,t,o,n,s)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(P().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=De(()=>{if(!P().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=P().getBool("DEBUG");P().set("DEBUG",!1);let t=this.abs(ke(1e-8)).dataSync()[0];if(P().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?cZ:lZ}uploadToGPU(e){let t=this.texData.get(e),{shape:o,dtype:n,values:s,texture:a,usage:i,isPacked:p}=t;if(a!=null)return;let u=this.activeTimers!=null,c;u&&(c=y.now());let l=t.texShape;if(l==null&&(l=II(o,p),t.texShape=l),s!=null){let m=Tc(o),d,f=l[1],h=l[0],g=s instanceof Uint8Array||s instanceof Uint8ClampedArray;(p||!g)&&([f,h]=Ea(l[0],l[1])),p?d=new eh(m,g):d=new Xl(m,g);let x=g?[h,f]:l,b=this.makeTensorInfo(x,n),w=this.texData.get(b.dataId);g?w.usage=mr.PIXELS:w.usage=mr.UPLOAD,w.texShape=x,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(b.dataId),f,h,s);let S=[[h,f]],k=!0,_=this.runWebGLProgram(d,[b],n,S,k),E=this.texData.get(_.dataId);t.texShape=E.texShape,t.isPacked=E.isPacked,t.usage=E.usage,P().get("ENGINE_COMPILE_ONLY")?this.disposeData(_.dataId):(t.texture=E.texture,t.values=null,this.texData.delete(_.dataId)),this.disposeIntermediateTensorInfo(b),u&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(l,i,n,p);t.texture=m}}convertAndCacheOnCPU(e,t){let o=this.texData.get(e),{dtype:n}=o;return t!=null&&(o.values=gZ(t,n)),o.values}acquireTexture(e,t,o,n){if(this.numBytesInGPU+=this.computeBytes(e,o),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,n)}computeBytes(e,t){return e[0]*e[1]*y.bytesPerElement(t)}checkCompileCompletion(){for(let[,e]of Object.entries(this.binaryCache))this.checkCompletion_(e)}async checkCompileCompletionAsync(){let e=[];if(this.gpgpu.parallelCompilationExtension){for(let[,t]of Object.entries(this.binaryCache))e.push(this.checkCompletionAsync_(t));return Promise.all(e)}else{for(let[,t]of Object.entries(this.binaryCache)){let o=new Promise(n=>{try{this.checkCompletion_(t),n(!0)}catch(s){throw s}});e.push(o)}return Promise.all(e)}}async checkCompletionAsync_(e){return this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(e):(await Kw(),this.checkCompletionAsync_(e))}checkCompletion_(e){if(this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(Gf(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(let e of Object.values(this.binaryCache)){this.gpgpu.buildVao(e.webGLProgram);let{variablesLocations:t,customUniformLocations:o,infLoc:n,nanLoc:s,outShapeLocation:a,outShapeStridesLocation:i,outTexShapeLocation:p}=EI(this.gpgpu,e.program,e.webGLProgram);e.variablesLocations=t,e.customUniformLocations=o,e.infLoc=n,e.nanLoc=s,e.outShapeLocation=a,e.outShapeStridesLocation=i,e.outTexShapeLocation=p}}createTensorFromGPUData(e,t,o){e.channels=e.channels||"RGBA";let{texture:n,height:s,width:a,channels:i}=e,p=ur().backend;if(!p.gpgpu.gl.isTexture(n))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");let u=p.writeTexture(n,t,o,s,a,i);return ur().makeTensorFromDataId(u,t,o,p)}};hu.nextDataId=0;function gZ(r,e){if(e==="float32"||e==="complex64")return r;if(e==="int32"||e==="bool"){let t=e==="int32"?new Int32Array(r.length):new Uint8Array(r.length);for(let o=0;onew hu,2);var cst={forceHalfFloat:hD};var Mc=` if (isnan(a)) return a; if (isnan(b)) return b; -`;var io=class{constructor(e,t,o){this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(t,o),this.enableShapeUniforms=lt(this.outputShape.length),this.userCode=` +`;var lo=class{constructor(e,t,o){this.variableNames=["A","B"],this.outputShape=C.assertAndGetBroadcastShape(t,o),this.enableShapeUniforms=ut(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${e} } @@ -1242,17 +1242,17 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } - `}};var Js=` + `}};var Kr=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; -`;var _o=class{constructor(e,t,o,n=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(t,o);let s=this.outputShape.length;this.enableShapeUniforms=lt(s);let a="";if(n)if(s===0||y.sizeFromShape(this.outputShape)===1)a=` +`;var Ro=class{constructor(e,t,o,n=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=C.assertAndGetBroadcastShape(t,o);let s=this.outputShape.length;this.enableShapeUniforms=ut(s);let a="";if(n)if(s===0||y.sizeFromShape(this.outputShape)===1)a=` result.y = 0.; result.z = 0.; result.w = 0.; `;else if(a=` - ${$e(s)} coords = getOutputCoords(); + ${Re(s)} coords = getOutputCoords(); `,s===1)this.enableShapeUniforms?a+=` result.y = (coords + 1) >= outShape ? 0. : result.y; result.z = 0.; @@ -1261,7 +1261,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y; result.z = 0.; result.w = 0.; - `;else{let p=Et("coords",s);this.enableShapeUniforms?a+=` + `;else{let p=Rt("coords",s);this.enableShapeUniforms?a+=` bool nextRowOutOfBounds = (${p[s-2]} + 1) >= outShape[${s} - 2]; bool nextColOutOfBounds = @@ -1291,13 +1291,13 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, setOutput(result); } - `}};function At(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var HE={kernelName:mo,backendName:"webgl",kernelFunc:At};function Ar(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,"complex64"),a=t.texData.get(s.dataId),i=At({inputs:{x:o},backend:t}),p=At({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var KE={kernelName:ri,backendName:"webgl",kernelFunc:Ar};var Rw="return (a < 0.) ? b * a : a;",Dw=` + `}};function Dt(r){let{inputs:e,backend:t}=r,{x:o}=e;return t.incRef(o.dataId),{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}var gD={kernelName:xo,backendName:"webgl",kernelFunc:Dt};function Fr(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,"complex64"),a=t.texData.get(s.dataId),i=Dt({inputs:{x:o},backend:t}),p=Dt({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var xD={kernelName:Ti,backendName:"webgl",kernelFunc:Fr};var YI="return (a < 0.) ? b * a : a;",QI=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function sY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=t.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),i=O().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _o(Dw,n.shape,a.shape):new io(Rw,n.shape,a.shape),p=t.runWebGLProgram(i,[n,a],"float32");return t.disposeIntermediateTensorInfo(a),p}var qE={kernelName:ln,backendName:"webgl",kernelFunc:sY};var Fw="return (a < 0.) ? b * a : a;",Ow=` +`;function yZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=t.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),i=P().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ro(QI,n.shape,a.shape):new lo(YI,n.shape,a.shape),p=t.runWebGLProgram(i,[n,a],"float32");return t.disposeIntermediateTensorInfo(a),p}var yD={kernelName:_n,backendName:"webgl",kernelFunc:yZ};var ZI="return (a < 0.) ? b * a : a;",JI=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`;function aY(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=O().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _o(Ow,o.shape,n.shape):new io(Fw,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],"float32")}var jE={kernelName:Rn,backendName:"webgl",kernelFunc:aY};var $o="if (isnan(x)) return x;";function he({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:o}){return({inputs:n,backend:s})=>{let{x:a}=n,i=s,p=o||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let l=i.texData.get(a.dataId),m=t(l.values,p);return i.makeTensorInfo(a.shape,p,m)}let u=O().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&e!=null,c;return u?c=new Er(a.shape,e):c=new Jt(a.shape,r),i.runWebGLProgram(c,[a],p)}}function tt({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:o=!1,cpuKernelImpl:n,dtype:s}){return({inputs:a,backend:i})=>{let{a:p,b:u}=a,c=i;if(o&&p.dtype==="complex64"){let f=c.texData.get(p.dataId),h=c.texData.get(u.dataId),[g,x]=[[f.complexTensorInfos.real,h.complexTensorInfos.real],[f.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(C=>{let[w,k]=C,_={dataId:w.dataId,dtype:w.dtype,shape:p.shape},E={dataId:k.dataId,dtype:k.dtype,shape:u.shape},A=new io(r,p.shape,u.shape);return c.runWebGLProgram(A,[_,E],dt(w.dtype,k.dtype))}),b=Ar({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let l=s||dt(p.dtype,u.dtype);if((p.dtype==="string"||u.dtype==="string"||c.shouldExecuteOnCPU([p,u]))&&n!=null){let f=c.texData.get(p.dataId).values,h=c.texData.get(u.dataId).values,g=p.dtype==="string"?S.fromUint8ToStringArray(f):f,x=p.dtype==="string"?S.fromUint8ToStringArray(h):h,[b,C]=n(p.shape,u.shape,g,x,l),w=c.makeTensorInfo(C,l),k=c.texData.get(w.dataId);return k.values=b,w}let m=O().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,d;return m?d=new _o(e,p.shape,u.shape,t):d=new io(r,p.shape,u.shape),c.runWebGLProgram(d,[p,u],l)}}function Ha(r,e=!1){if(r==="linear")return e?BE:DE;if(r==="relu")return e?zE:OE;if(r==="elu")return e?VE:FE;if(r==="relu6")return e?WE:PE;if(r==="prelu")return e?Ow:Fw;if(r==="leakyrelu")return e?Dw:Rw;if(r==="sigmoid")return e?UE:ME;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var fc=class{constructor(e,t,o,n=!1,s=!1,a=!1,i=null,p=!1,u=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o,this.enableShapeUniforms=lt(this.outputShape.length);let c=n?e[1]:e[2],l=Math.ceil(c/2),m=n?"i * 2, rc.y":"rc.y, i * 2",d=s?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";i&&(p?g=`vec4 activation(vec4 a) { +`;function bZ(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=P().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ro(JI,o.shape,n.shape):new lo(ZI,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],"float32")}var bD={kernelName:Jn,backendName:"webgl",kernelFunc:bZ};var Do="if (isnan(x)) return x;";function ge({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:o}){return({inputs:n,backend:s})=>{let{x:a}=n,i=s,p=o||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let l=i.texData.get(a.dataId),m=t(l.values,p);return i.makeTensorInfo(a.shape,p,m)}let u=P().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&e!=null,c;return u?c=new Ar(a.shape,e):c=new tr(a.shape,r),i.runWebGLProgram(c,[a],p)}}function nt({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:o=!1,cpuKernelImpl:n,dtype:s}){return({inputs:a,backend:i})=>{let{a:p,b:u}=a,c=i;if(o&&p.dtype==="complex64"){let f=c.texData.get(p.dataId),h=c.texData.get(u.dataId),[g,x]=[[f.complexTensorInfos.real,h.complexTensorInfos.real],[f.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[S,k]=w,_={dataId:S.dataId,dtype:S.dtype,shape:p.shape},E={dataId:k.dataId,dtype:k.dtype,shape:u.shape},R=new lo(r,p.shape,u.shape);return c.runWebGLProgram(R,[_,E],dt(S.dtype,k.dtype))}),b=Fr({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let l=s||dt(p.dtype,u.dtype);if((p.dtype==="string"||u.dtype==="string"||c.shouldExecuteOnCPU([p,u]))&&n!=null){let f=c.texData.get(p.dataId).values,h=c.texData.get(u.dataId).values,g=p.dtype==="string"?C.fromUint8ToStringArray(f):f,x=p.dtype==="string"?C.fromUint8ToStringArray(h):h,[b,w]=n(p.shape,u.shape,g,x,l),S=c.makeTensorInfo(w,l),k=c.texData.get(S.dataId);return k.values=b,S}let m=P().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,d;return m?d=new Ro(e,p.shape,u.shape,t):d=new lo(r,p.shape,u.shape),c.runWebGLProgram(d,[p,u],l)}}function hi(r,e=!1){if(r==="linear")return e?cD:nD;if(r==="relu")return e?mD:aD;if(r==="elu")return e?lD:sD;if(r==="relu6")return e?dD:iD;if(r==="prelu")return e?JI:ZI;if(r==="leakyrelu")return e?QI:YI;if(r==="sigmoid")return e?fD:uD;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Lc=class{constructor(e,t,o,n=!1,s=!1,a=!1,i=null,p=!1,u=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o,this.enableShapeUniforms=ut(this.outputShape.length);let c=n?e[1]:e[2],l=Math.ceil(c/2),m=n?"i * 2, rc.y":"rc.y, i * 2",d=s?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";i&&(p?g=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${i} }`:u?g=`vec4 activation(vec4 a) { @@ -1305,15 +1305,15 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, ${i} }`:g=`vec4 activation(vec4 x) { ${i} - }`,x="result = activation(result);");let b=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),p&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");let C="rc.x",w="rc.x";e[0]`The new shape (${p}) has ${u} elements and the old shape (${n.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(n.dataId);return c.isPacked&&!Bi(n.shape,p)&&!(c.texture!==null&&Bi(c.shape,p))?QE(n,p,a):(a.incRef(n.dataId),{dataId:n.dataId,shape:p,dtype:n.dtype})}var ZE={kernelName:_s,backendName:"webgl",kernelFunc:re};var Al=class{constructor(e,t){this.variableNames=["x"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=Math.floor(o/4)*4,p=o%4,u="sumValue += dot(values, ones);";if(t!=null){let l=1/t;u=`sumValue += dot(values * ${y.isInt(l)?l.toPrecision(2):l}, ones);`}let c="";s%o>0&&(c=` + `}};var CD="return a * b;";function Zl(r){let{inputs:e,backend:t}=r,{a:o,b:n}=e,s=C.upcastType(o.dtype,n.dtype);if(o.dtype==="complex64"){let i=t.texData.get(o.dataId),p=t.texData.get(n.dataId),u=new Ql(ev.REAL,o.shape,n.shape),c=new Ql(ev.IMAG,o.shape,n.shape),l=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:o.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:o.shape},{dataId:p.complexTensorInfos.real.dataId,dtype:p.complexTensorInfos.real.dtype,shape:n.shape},{dataId:p.complexTensorInfos.imag.dataId,dtype:p.complexTensorInfos.imag.dtype,shape:n.shape}],m=t.runWebGLProgram(u,l,"float32"),d=t.runWebGLProgram(c,l,"float32"),f=Fr({inputs:{real:m,imag:d},backend:t});return t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),f}if(t.shouldExecuteOnCPU([o,n])){let i=t.texData.get(o.dataId),p=t.texData.get(n.dataId),[u,c]=ER(o.shape,n.shape,i.values,p.values,s),l=t.makeTensorInfo(c,s),m=t.texData.get(l.dataId);return m.values=u,l}let a;return P().getBool("WEBGL_PACK_BINARY_OPERATIONS")?a=new Ro(CD,o.shape,n.shape):a=new lo(CD,o.shape,n.shape),t.runWebGLProgram(a,[o,n],s)}var wD={kernelName:Kn,backendName:"webgl",kernelFunc:Zl};function SD(r,e,t){let o=[di(r.shape),...fi(r.shape)],n={dtype:r.dtype,shape:o,dataId:r.dataId},s=[di(e),...fi(e)],a=new Oc(s,o),i=!0,p=[o],u=t.runWebGLProgram(a,[n],r.dtype,p,i);return{dataId:u.dataId,shape:e,dtype:u.dtype}}function te(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{shape:s}=o,a=t,i=y.sizeFromShape(n.shape),p=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(p);y.assert(i===u,()=>`The new shape (${p}) has ${u} elements and the old shape (${n.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(n.dataId);return c.isPacked&&!fu(n.shape,p)&&!(c.texture!==null&&fu(c.shape,p))?SD(n,p,a):(a.incRef(n.dataId),{dataId:n.dataId,shape:p,dtype:n.dtype})}var ID={kernelName:ia,backendName:"webgl",kernelFunc:te};var Jl=class{constructor(e,t){this.variableNames=["x"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i=Math.floor(o/4)*4,p=o%4,u="sumValue += dot(values, ones);";if(t!=null){let l=1/t;u=`sumValue += dot(values * ${y.isInt(l)?l.toPrecision(2):l}, ones);`}let c="";s%o>0&&(c=` if (inIdx < 0 || inIdx >= ${s}) { return 0.0; } @@ -1402,7 +1402,7 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(sumValue); } - `}};var Jf=class{constructor(e,t){this.variableNames=["x"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i="0.0",p="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",p="min"):t==="max"&&(i="-1.0 / 1e-20",p="max");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?u="sumValue":t==="prod"?u="prodValue":t==="all"?u="allValue":t==="any"&&(u="anyValue");let c=Math.floor(o/4)*4,l=o%4,m=` + `}};var dh=class{constructor(e,t){this.variableNames=["x"];let{windowSize:o,batchSize:n,inSize:s,outSize:a}=e;this.outputShape=[n,a];let i="0.0",p="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",p="min"):t==="max"&&(i="-1.0 / 1e-20",p="max");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?u="sumValue":t==="prod"?u="prodValue":t==="all"?u="allValue":t==="any"&&(u="anyValue");let c=Math.floor(o/4)*4,l=o%4,m=` if (${t==="sum"}) { sumValue += dot(values, ones); } else if (${t==="prod"}) { @@ -1494,12 +1494,12 @@ vec2 packedUVfrom3D(int texNumR, int texNumC, } setOutput(${u}); } - `}};function uY(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],o=S.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:o,outSize:Math.ceil(t/o)})}return e}function Ur(r,e,t,o){let n=uY(r.shape),s=r;for(let a=0;a6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],o=new Array(e);for(let n=0;n6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=$e(this.rank),s=Ew("rc",this.rank),a=new Array(this.rank);for(let c=0;c6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],o=new Array(e);for(let n=0;n6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let n=Re(this.rank),s=jI("rc",this.rank),a=new Array(this.rank);for(let c=0;c`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=re({inputs:{x:r},backend:n,attrs:{shape:k}}),A=re({inputs:{x:e},backend:n,attrs:{shape:_}}),R=[E,A],D=Math.max(x,b),P=t?E.shape[1]:E.shape[2],M=s!=null,L=a!=null,V=p==="leakyrelu",z=p!=null?Ha(p,!0):null,U=M||L||V||z!=null,K;if((d===1||f===1)&&P>Mw&&U===!1){let q=E,Z=A;t&&(q=yt({inputs:{x:E},backend:n,attrs:{perm:[0,2,1]}}),R.push(q)),o&&(Z=yt({inputs:{x:A},backend:n,attrs:{perm:[0,2,1]}}),R.push(Z));let ee=f!==1,oe=f===1,J=q;ee&&(J=re({inputs:{x:q},backend:n,attrs:{shape:[D,P,1]}}),R.push(J));let te=f===1?2:1,ie=Z;oe&&(ie=re({inputs:{x:Z},backend:n,attrs:{shape:[D,1,P]}}),R.push(ie));let ce=El({inputs:{a:J,b:ie},backend:n});K=Vu({inputs:{x:ce},backend:n,attrs:{axis:te,keepDims:!0}}),R.push(ce)}else{let q=dt(r.dtype,e.dtype),Z=new fc(k,_,[D,d,f],t,o,M,z,L,V),ee=[E,A];if(s!=null&&ee.push(s),L&&ee.push(a),V){let oe=n.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));ee.push(oe),R.push(oe)}K=n.runWebGLProgram(Z,ee,q)}let H=re({inputs:{x:K},backend:n,attrs:{shape:w}});R.push(K);for(let q of R)n.disposeIntermediateTensorInfo(q);return H}function cY(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return zu({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var rA={kernelName:ho,backendName:"webgl",kernelFunc:cY};var oA="return abs(x);";function lY(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])&&o.dtype!=="complex64"){let s=t.texData.get(o.dataId),a=qf(s.values);return t.makeTensorInfo(o.shape,o.dtype,a)}let n;return O().getBool("WEBGL_PACK_UNARY_OPERATIONS")?n=new Er(o.shape,oA):n=new Jt(o.shape,oA),t.runWebGLProgram(n,[o],o.dtype)}var nA={kernelName:ys,backendName:"webgl",kernelFunc:lY};var mY=zt+` + `}};function gu(r,e,t){let o=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hh(r.shape,e):new fh(r.shape,e);return t.runWebGLProgram(o,[r],r.dtype)}function vD(r,e,t,o){let n=e,s=r.shape.length,a=y.parseAxisParam(n,r.shape),i=a,p=C.getAxesPermutation(i,s),u=p!=null,c=r;u&&(c=gu(r,p,o),i=C.getInnerMostAxes(i.length,s)),C.assertAxesAreInnerMostDims("sum",i,s);let[l,m]=C.computeOutAndReduceShapes(c.shape,i),d=l;t&&(d=C.expandShapeToKeepDim(l,a));let f=y.sizeFromShape(m),g=y.sizeFromShape(r.shape)/f,x=te({inputs:{x:c},attrs:{shape:[g,f]},backend:o}),b=Za(r.dtype),w=qr(x,b,"sum",o),S=te({inputs:{x:w},attrs:{shape:d},backend:o});return o.disposeIntermediateTensorInfo(x),o.disposeIntermediateTensorInfo(w),u&&o.disposeIntermediateTensorInfo(c),S}function bp(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return vD(n,s,a,t)}var kD={kernelName:ys,backendName:"webgl",kernelFunc:bp};function bt(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{perm:s}=o,a=t,i=n.shape.length,p=new Array(i);for(let c=0;c`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=te({inputs:{x:r},backend:n,attrs:{shape:k}}),R=te({inputs:{x:e},backend:n,attrs:{shape:_}}),D=[E,R],F=Math.max(x,b),O=t?E.shape[1]:E.shape[2],M=s!=null,L=a!=null,B=p==="leakyrelu",z=p!=null?hi(p,!0):null,U=M||L||B||z!=null,j;if((d===1||f===1)&&O>tv&&U===!1){let X=E,J=R;t&&(X=bt({inputs:{x:E},backend:n,attrs:{perm:[0,2,1]}}),D.push(X)),o&&(J=bt({inputs:{x:R},backend:n,attrs:{perm:[0,2,1]}}),D.push(J));let re=f!==1,ne=f===1,ee=X;re&&(ee=te({inputs:{x:X},backend:n,attrs:{shape:[F,O,1]}}),D.push(ee));let oe=f===1?2:1,ie=J;ne&&(ie=te({inputs:{x:J},backend:n,attrs:{shape:[F,1,O]}}),D.push(ie));let le=Zl({inputs:{a:ee,b:ie},backend:n});j=bp({inputs:{x:le},backend:n,attrs:{axis:oe,keepDims:!0}}),D.push(le)}else{let X=dt(r.dtype,e.dtype),J=new Lc(k,_,[F,d,f],t,o,M,z,L,B),re=[E,R];if(s!=null&&re.push(s),L&&re.push(a),B){let ne=n.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));re.push(ne),D.push(ne)}j=n.runWebGLProgram(J,re,X)}let H=te({inputs:{x:j},backend:n,attrs:{shape:S}});D.push(j);for(let X of D)n.disposeIntermediateTensorInfo(X);return H}function IZ(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return Cp({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var TD={kernelName:bo,backendName:"webgl",kernelFunc:IZ};var _D="return abs(x);";function vZ(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])&&o.dtype!=="complex64"){let s=t.texData.get(o.dataId),a=ih(s.values);return t.makeTensorInfo(o.shape,o.dtype,a)}let n;return P().getBool("WEBGL_PACK_UNARY_OPERATIONS")?n=new Ar(o.shape,_D):n=new tr(o.shape,_D),t.runWebGLProgram(n,[o],o.dtype)}var $D={kernelName:Gs,backendName:"webgl",kernelFunc:vZ};var kZ=Ut+` if (abs(x) > 1.) { return NAN; } return acos(x); -`,dY=he({opSnippet:mY}),sA={kernelName:aa,backendName:"webgl",kernelFunc:dY};var fY=zt+` +`,NZ=ge({opSnippet:kZ}),ED={kernelName:zo,backendName:"webgl",kernelFunc:NZ};var TZ=Ut+` if (x < 1.0) return NAN; -return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,backendName:"webgl",kernelFunc:hY};var iA="return a + b;",gY=tt({opSnippet:iA,packedOpSnippet:iA,supportsComplex:!0,cpuKernelImpl:V$}),uA={kernelName:eo,backendName:"webgl",kernelFunc:gY};var rh=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`float v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` +return log(x + sqrt(x * x - 1.0));`,_Z=ge({opSnippet:TZ}),RD={kernelName:Vo,backendName:"webgl",kernelFunc:_Z};var DD="return a + b;",$Z=nt({opSnippet:DD,packedOpSnippet:DD,supportsComplex:!0,cpuKernelImpl:cR}),AD={kernelName:no,backendName:"webgl",kernelFunc:$Z};var gh=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`float v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` void main() { ${o.join(` `)} @@ -1531,7 +1531,7 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back float result = ${n}; setOutput(result); } - `}};var oh=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`vec4 v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` + `}};var xh=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let o=[];this.variableNames.forEach(s=>{o.push(`vec4 v${s} = get${s}AtOutCoords();`)});let n=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` void main() { ${o.join(` `)} @@ -1539,7 +1539,7 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back vec4 result = ${n}; setOutput(result); } - `}};function nh(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return At({inputs:{x:o[0]},backend:t});if(o.length>O().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let p=Math.floor(o.length/2),u=nh({inputs:o.slice(0,p),backend:t}),c=nh({inputs:o.slice(p),backend:t});return nh({inputs:[u,c],backend:t})}let n=o.map(p=>p.dtype).reduce((p,u)=>dt(p,u)),s=o.map(p=>p.shape),i=O().getBool("WEBGL_PACK")?new oh(o[0].shape,s):new rh(o[0].shape,s);return t.runWebGLProgram(i,o,n)}var pA={kernelName:Po,backendName:"webgl",kernelFunc:nh};function xY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=S.getInnerMostAxes(u.length,i)),S.assertAxesAreInnerMostDims("all",u,i);let[m,d]=S.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=re({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=Ur(h,h.dtype,"all",t),x;if(a){let b=S.expandShapeToKeepDim(m,p);x=re({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=re({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var cA={kernelName:Mo,backendName:"webgl",kernelFunc:xY};function yY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=S.getInnerMostAxes(u.length,i)),S.assertAxesAreInnerMostDims("any",u,i);let[m,d]=S.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=re({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=Ur(h,h.dtype,"any",t),x;if(a){let b=S.expandShapeToKeepDim(m,p);x=re({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=re({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var lA={kernelName:Lo,backendName:"webgl",kernelFunc:yY};var sh=class{constructor(e,t,o){this.variableNames=["A"];let{windowSize:n,batchSize:s,outSize:a}=e;o||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let i=t==="max"?">":"<",p=o?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + `}};function yh(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return Dt({inputs:{x:o[0]},backend:t});if(o.length>P().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let p=Math.floor(o.length/2),u=yh({inputs:o.slice(0,p),backend:t}),c=yh({inputs:o.slice(p),backend:t});return yh({inputs:[u,c],backend:t})}let n=o.map(p=>p.dtype).reduce((p,u)=>dt(p,u)),s=o.map(p=>p.shape),i=P().getBool("WEBGL_PACK")?new xh(o[0].shape,s):new gh(o[0].shape,s);return t.runWebGLProgram(i,o,n)}var FD={kernelName:Wo,backendName:"webgl",kernelFunc:yh};function EZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=n;c!=null&&(l=bt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims("all",u,i);let[m,d]=C.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=te({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=qr(h,h.dtype,"all",t),x;if(a){let b=C.expandShapeToKeepDim(m,p);x=te({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=te({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var PD={kernelName:Uo,backendName:"webgl",kernelFunc:EZ};function RZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=n;c!=null&&(l=bt({inputs:{x:n},backend:t,attrs:{perm:c}}),u=C.getInnerMostAxes(u.length,i)),C.assertAxesAreInnerMostDims("any",u,i);let[m,d]=C.computeOutAndReduceShapes(l.shape,u),f=y.sizeFromShape(d),h=te({inputs:{x:l},backend:t,attrs:{shape:[-1,f]}}),g=qr(h,h.dtype,"any",t),x;if(a){let b=C.expandShapeToKeepDim(m,p);x=te({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=te({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(l),x}var OD={kernelName:Go,backendName:"webgl",kernelFunc:RZ};var bh=class{constructor(e,t,o){this.variableNames=["A"];let{windowSize:n,batchSize:s,outSize:a}=e;o||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let i=t==="max"?">":"<",p=o?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -1559,14 +1559,14 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back } setOutput(float(bestIndex)); } - `}};var ah=class{constructor(e,t,o,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${o.charAt(0).toUpperCase()+o.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),n||this.variableNames.push("bestIndicesA");let i=this.outputShape,p=i.length,u=$e(p),c=Et("coords",p),l,m;if(a===1){m=p+1;let A=$e(m);l=` - ${A} sourceLocR = ${A}(${c.join()}, 0); + `}};var Ch=class{constructor(e,t,o,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${o.charAt(0).toUpperCase()+o.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),n||this.variableNames.push("bestIndicesA");let i=this.outputShape,p=i.length,u=Re(p),c=Rt("coords",p),l,m;if(a===1){m=p+1;let R=Re(m);l=` + ${R} sourceLocR = ${R}(${c.join()}, 0); ++${c[p-1]}; - ${A} sourceLocG = ${A}(${c.join()}, 0); + ${R} sourceLocG = ${R}(${c.join()}, 0); ++${c[p-2]}; - ${A} sourceLocA = ${A}(${c.join()}, 0); + ${R} sourceLocA = ${R}(${c.join()}, 0); --${c[p-1]}; - ${A} sourceLocB = ${A}(${c.join()}, 0); + ${R} sourceLocB = ${R}(${c.join()}, 0); --${c[p-2]};`}else m=p,l=` ${u} sourceLocR = coords; ++${c[p-1]}; @@ -1575,15 +1575,15 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back ${u} sourceLocA = coords; --${c[p-1]}; ${u} sourceLocB = coords; - --${c[p-2]};`;let d=["x","y","z","w","u","v"].slice(0,m),f="."+d[m-1],h=d.map(A=>"int "+A),g=Et("sourceLocR",m-1).concat("inIdx.r"),x=Et("sourceLocG",m-1).concat("inIdx.g"),b=Et("sourceLocB",m-1).concat("inIdx.b"),C=Et("sourceLocA",m-1).concat("inIdx.a"),w=o==="max"?"greaterThan":"lessThan",k=n?"":` + --${c[p-2]};`;let d=["x","y","z","w","u","v"].slice(0,m),f="."+d[m-1],h=d.map(R=>"int "+R),g=Rt("sourceLocR",m-1).concat("inIdx.r"),x=Rt("sourceLocG",m-1).concat("inIdx.g"),b=Rt("sourceLocB",m-1).concat("inIdx.b"),w=Rt("sourceLocA",m-1).concat("inIdx.a"),S=o==="max"?"greaterThan":"lessThan",k=n?"":` inIdx = round(vec4(getBestIndicesAChannel(${g.join()}), getBestIndicesAChannel(${x.join()}), getBestIndicesAChannel(${b.join()}), - getBestIndicesAChannel(${C.join()})));`,_=`vec4( + getBestIndicesAChannel(${w.join()})));`,_=`vec4( getAChannel(${g.join()}), hasNextCol ? getAChannel(${x.join()}) : 0., hasNextRow ? getAChannel(${b.join()}) : 0., - hasNextRow && hasNextCol ? getAChannel(${C.join()}) : 0.)`,E=n?"":` + hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,E=n?"":` float getBestIndicesAChannel(${h.join()}) { return getChannel(getBestIndicesA(${d.join()}), vec2(${d.slice(-2).join()})); @@ -1610,7 +1610,7 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back vec4 candidate = ${_}; bvec4 nan = isnan(candidate); bvec4 replace = bvec4( - vec4(${w}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); + vec4(${S}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); bestValue = vec4(replace.x ? candidate.x : bestValue.x, replace.y ? candidate.y : bestValue.y, @@ -1621,25 +1621,25 @@ return log(x + sqrt(x * x - 1.0));`,hY=he({opSnippet:fY}),aA={kernelName:ia,back } setOutput(bestIndex); } - `}};function mA(r,e,t,o=null){let n=e.shape[0],s=e.shape[1];o!=null&&(n=o.shape[0],s=o.shape[1]);let a=S.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:n,outSize:Math.ceil(s/a)},p=new sh(i,t,o==null),u=[e];o!=null&&u.push(o);let c=r.runWebGLProgram(p,u,"int32");if(c.shape[1]===1)return c;let l=mA(r,e,t,c);return r.disposeIntermediateTensorInfo(c),l}function dA(r,e,t,o=null){let n=o!=null?o.shape:e.shape,s=n[n.length-1],a=S.computeOptimalWindowSize(s),i=new ah(n,a,t,o==null),p=o==null?[e]:[e,o],u=r.runWebGLProgram(i,p,"int32");if(u.shape.length===e.shape.length){let c=dA(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function ih(r,e,t,o){let n=[t];if(S.assertAxesAreInnerMostDims("arg"+o.charAt(0).toUpperCase()+o.slice(1),n,e.shape.length),!O().getBool("WEBGL_PACK_REDUCE")||e.shape.length<=2){let s=[],a=r.texData.get(e.dataId),i=a!==null&&a.isPacked,p=e;i&&(p=r.unpackTensor(e),s.push(p));let[u,c]=S.computeOutAndReduceShapes(p.shape,n),l=y.sizeFromShape(c),m=re({inputs:{x:p},backend:r,attrs:{shape:[-1,l]}});s.push(m);let d=mA(r,m,o);s.push(d);let f=re({inputs:{x:d},backend:r,attrs:{shape:u}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),f}return dA(r,e,o)}function bY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=yt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims("argMax",[a[0]],p.shape.length);let c=ih(t,p,a[0],"max");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var fA={kernelName:Bo,backendName:"webgl",kernelFunc:bY};function CY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=yt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims("argMin",[a[0]],p.shape.length);let c=ih(t,p,a[0],"min");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var hA={kernelName:ei,backendName:"webgl",kernelFunc:CY};var SY=zt+` + `}};function MD(r,e,t,o=null){let n=e.shape[0],s=e.shape[1];o!=null&&(n=o.shape[0],s=o.shape[1]);let a=C.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:n,outSize:Math.ceil(s/a)},p=new bh(i,t,o==null),u=[e];o!=null&&u.push(o);let c=r.runWebGLProgram(p,u,"int32");if(c.shape[1]===1)return c;let l=MD(r,e,t,c);return r.disposeIntermediateTensorInfo(c),l}function LD(r,e,t,o=null){let n=o!=null?o.shape:e.shape,s=n[n.length-1],a=C.computeOptimalWindowSize(s),i=new Ch(n,a,t,o==null),p=o==null?[e]:[e,o],u=r.runWebGLProgram(i,p,"int32");if(u.shape.length===e.shape.length){let c=LD(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function wh(r,e,t,o){let n=[t];if(C.assertAxesAreInnerMostDims("arg"+o.charAt(0).toUpperCase()+o.slice(1),n,e.shape.length),!P().getBool("WEBGL_PACK_REDUCE")||e.shape.length<=2){let s=[],a=r.texData.get(e.dataId),i=a!==null&&a.isPacked,p=e;i&&(p=r.unpackTensor(e),s.push(p));let[u,c]=C.computeOutAndReduceShapes(p.shape,n),l=y.sizeFromShape(c),m=te({inputs:{x:p},backend:r,attrs:{shape:[-1,l]}});s.push(m);let d=MD(r,m,o);s.push(d);let f=te({inputs:{x:d},backend:r,attrs:{shape:u}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),f}return LD(r,e,o)}function DZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=bt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims("argMax",[a[0]],p.shape.length);let c=wh(t,p,a[0],"max");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var BD={kernelName:Hs,backendName:"webgl",kernelFunc:DZ};function AZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=bt({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims("argMin",[a[0]],p.shape.length);let c=wh(t,p,a[0],"min");return u.forEach(l=>t.disposeIntermediateTensorInfo(l)),c}var zD={kernelName:Ks,backendName:"webgl",kernelFunc:AZ};var FZ=Ut+` if (abs(x) > 1.) { return NAN; } return asin(x); -`,wY=he({opSnippet:SY}),gA={kernelName:ua,backendName:"webgl",kernelFunc:wY};var IY=zt+"return log(x + sqrt(x * x + 1.0));",vY=he({opSnippet:IY}),xA={kernelName:pa,backendName:"webgl",kernelFunc:vY};var kY=zt+` +`,PZ=ge({opSnippet:FZ}),VD={kernelName:Ho,backendName:"webgl",kernelFunc:PZ};var OZ=Ut+"return log(x + sqrt(x * x + 1.0));",MZ=ge({opSnippet:OZ}),WD={kernelName:Ko,backendName:"webgl",kernelFunc:MZ};var LZ=Ut+` return atan(x); -`,NY=he({opSnippet:kY}),yA={kernelName:ca,backendName:"webgl",kernelFunc:NY};var TY=dc+` +`,BZ=ge({opSnippet:LZ}),UD={kernelName:qo,backendName:"webgl",kernelFunc:BZ};var zZ=Mc+` return atan(a, b); -`,_Y=` +`,VZ=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); - `+Js+` + `+Kr+` return result; -`,$Y=tt({opSnippet:TY,packedOpSnippet:_Y}),bA={kernelName:ma,backendName:"webgl",kernelFunc:$Y};var EY=zt+` +`,WZ=nt({opSnippet:zZ,packedOpSnippet:VZ}),GD={kernelName:Xo,backendName:"webgl",kernelFunc:WZ};var UZ=Ut+` if ((x < -1.0) || (x > 1.0)) return NAN; -return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelName:la,backendName:"webgl",kernelFunc:AY};var cs=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideHeight,p=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterHeight,m=e.effectiveFilterWidth,d=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;let h=t==="avg",g=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),o){let A=">=";this.userCode=` +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,GZ=ge({opSnippet:UZ}),HD={kernelName:jo,backendName:"webgl",kernelFunc:GZ};var Ms=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideHeight,p=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterHeight,m=e.effectiveFilterWidth,d=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;let h=t==="avg",g=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),o){let R=">=";this.userCode=` const ivec2 strides = ivec2(${i}, ${p}); const ivec2 pads = ivec2(${d}, ${f}); @@ -1681,7 +1681,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${A} currMinMaxValue) { + if (value ${R} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n?s?g:x:`wR * ${m} + wC`}; @@ -1690,11 +1690,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(float(minMaxPosition)); } - `;return}let C="max",w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(w="avgValue / max(count, 1.0)");let k=Math.floor(a/4)*4,_=a%4,E=` + `;return}let w="max",S=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(S="avgValue / max(count, 1.0)");let k=Math.floor(a/4)*4,_=a%4,E=` if (${h}) { avgValue += dot(values, ones); } else { - minMaxValue = ${C}(values, minMaxValue); + minMaxValue = ${w}(values, minMaxValue); } `;this.userCode=` const ivec2 strides = ivec2(${i}, ${p}); @@ -1778,9 +1778,9 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${E} } } - setOutput(${w}); + setOutput(${S}); } - `}},Wi=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideDepth,p=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,l=e.dilationHeight,m=e.dilationWidth,d=e.effectiveFilterDepth,f=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let C=t==="avg",w="0.0";if(C||(w="-1.0 / 1e-20"),o){let D=">=";this.userCode=` + `}},xu=class{constructor(e,t,o,n=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideDepth,p=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,l=e.dilationHeight,m=e.dilationWidth,d=e.effectiveFilterDepth,f=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let w=t==="avg",S="0.0";if(w||(S="-1.0 / 1e-20"),o){let F=">=";this.userCode=` const ivec3 strides = ivec3(${i}, ${p}, ${u}); const ivec3 pads = ivec3(${g}, ${x}, ${b}); @@ -1831,7 +1831,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); - if (value ${D} currMinMaxValue) { + if (value ${F} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${n?s?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${f} * ${h} + @@ -1842,8 +1842,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(float(minMaxPosition)); } - `;return}let k="max",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(_="avgValue / max(count, 1.0)");let E=Math.floor(a/4)*4,A=a%4,R=` - if (${C}) { + `;return}let k="max",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(_="avgValue / max(count, 1.0)");let E=Math.floor(a/4)*4,R=a%4,D=` + if (${w}) { avgValue += dot(values, ones); } else { minMaxValue = ${k}(values, minMaxValue); @@ -1852,7 +1852,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam const ivec3 strides = ivec3(${i}, ${p}, ${u}); const ivec3 pads = ivec3(${g}, ${x}, ${b}); - const float initializationValue = ${w}; + const float initializationValue = ${S}; const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float count = 0.0; @@ -1877,7 +1877,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch). // ? = to be determined - vec4 minMaxValue = vec4(${w}); + vec4 minMaxValue = vec4(${S}); float avgValue = 0.0; count = 0.0; @@ -1907,11 +1907,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam getValue(batch, xD, xR, xC + 3 * ${m}, ch) ); - ${R} + ${D} } int xC = xCCorner + ${E}; - if (${A===1}) { + if (${R===1}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), initializationValue, @@ -1919,8 +1919,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam initializationValue ); - ${R} - } else if (${A===2}) { + ${D} + } else if (${R===2}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${m}, ch), @@ -1928,8 +1928,8 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam initializationValue ); - ${R} - } else if (${A===3}) { + ${D} + } else if (${R===3}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${m}, ch), @@ -1937,13 +1937,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam initializationValue ); - ${R} + ${D} } } } setOutput(${_}); } - `}};function RY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;us(n,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(S.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return At({inputs:{x:n},backend:t});let l=new cs(c,"avg",!1);return t.runWebGLProgram(l,[n],"float32")}var SA={kernelName:Vo,backendName:"webgl",kernelFunc:RY};function DY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=[1,1,1],l=S.computePool3DInfo(n.shape,s,a,c,i,p,u),m=new Wi(l,"avg",!1);return t.runWebGLProgram(m,[n],"float32")}var wA={kernelName:dp,backendName:"webgl",kernelFunc:DY};var uh=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=p-1-e.padInfo.top,l=u-1-e.padInfo.left,m=1/(t*o);this.userCode=` + `}};function HZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;Ps(n,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Dt({inputs:{x:n},backend:t});let l=new Ms(c,"avg",!1);return t.runWebGLProgram(l,[n],"float32")}var KD={kernelName:Yo,backendName:"webgl",kernelFunc:HZ};function KZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,p,u),m=new xu(l,"avg",!1);return t.runWebGLProgram(m,[n],"float32")}var qD={kernelName:qs,backendName:"webgl",kernelFunc:KZ};var Sh=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=p-1-e.padInfo.top,l=u-1-e.padInfo.left,m=1/(t*o);this.userCode=` const ivec2 pads = ivec2(${c}, ${l}); const float avgMultiplier = float(${m}); @@ -1985,7 +1985,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}},ph=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,m=e.effectiveFilterHeight,d=e.effectiveFilterWidth,f=l-1-e.padInfo.front,h=m-1-e.padInfo.top,g=d-1-e.padInfo.left,x=1/(t*o*n);this.userCode=` + `}},Ih=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,m=e.effectiveFilterHeight,d=e.effectiveFilterWidth,f=l-1-e.padInfo.front,h=m-1-e.padInfo.top,g=d-1-e.padInfo.left,x=1/(t*o*n);this.userCode=` const ivec3 pads = ivec3(${f}, ${h}, ${g}); const float avgMultiplier = float(${x}); @@ -2041,7 +2041,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}};function FY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=S.computePool3DInfo(a.shape,i,p,l,u,c),d=new ph(m);return t.runWebGLProgram(d,[n],a.dtype)}var IA={kernelName:vm,backendName:"webgl",kernelFunc:FY};function OY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;us([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=new uh(c);return t.runWebGLProgram(l,[n],a.dtype)}var vA={kernelName:mp,backendName:"webgl",kernelFunc:OY};function PY(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return zu({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var kA={kernelName:zo,backendName:"webgl",kernelFunc:PY};var ch=class{constructor(e,t,o,n,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,o);let i="0.0";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let p="1.0";s!=null&&(S.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),p="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}};function qZ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=C.computePool3DInfo(a.shape,i,p,l,u,c),d=new Ih(m);return t.runWebGLProgram(d,[n],a.dtype)}var jD={kernelName:Ni,backendName:"webgl",kernelFunc:qZ};function jZ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;Ps([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=new Sh(c);return t.runWebGLProgram(l,[n],a.dtype)}var XD={kernelName:Gp,backendName:"webgl",kernelFunc:jZ};function XZ(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return Cp({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var YD={kernelName:Qo,backendName:"webgl",kernelFunc:XZ};var vh=class{constructor(e,t,o,n,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,o);let i="0.0";n!=null&&(C.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let p="1.0";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),p="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); @@ -2051,7 +2051,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam float inv = scale * inversesqrt(variance + float(${a})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } - `}};var lh=class{constructor(e,t,o,n,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(e,t),S.assertAndGetBroadcastShape(e,o);let i="vec4(0.0)";n!=null&&(S.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let p="vec4(1.0)";s!=null&&(S.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),p="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + `}};var kh=class{constructor(e,t,o,n,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,o);let i="vec4(0.0)";n!=null&&(C.assertAndGetBroadcastShape(e,n),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let p="vec4(1.0)";s!=null&&(C.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),p="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` void main() { vec4 offset = ${i}; vec4 scale = ${p}; @@ -2064,7 +2064,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam setOutput((x - mean) * inv + offset); } - `}};var MY=({inputs:r,backend:e,attrs:t})=>{let{x:o,mean:n,variance:s,offset:a,scale:i}=r;y.assert(n.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||n.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(i==null||n.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:p}=t;p==null&&(p=.001);let u=[o,n,s],c=null;a!=null&&(c=a.shape,u.push(a));let l=null;i!=null&&(l=i.shape,u.push(i));let m=O().getBool("WEBGL_PACK_NORMALIZATION")?new lh(o.shape,n.shape,s.shape,c,l,p):new ch(o.shape,n.shape,s.shape,c,l,p);return e.runWebGLProgram(m,u,u[0].dtype)},NA={kernelName:sn,backendName:"webgl",kernelFunc:MY};var mh=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=$e(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let o=LY(this.rank),n,s=e.map((a,i)=>`sourceLoc.${Lw[i]} = start[${i}] + coords.${Lw[i]};`);n=` + `}};var YZ=({inputs:r,backend:e,attrs:t})=>{let{x:o,mean:n,variance:s,offset:a,scale:i}=r;y.assert(n.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||n.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(i==null||n.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:p}=t;p==null&&(p=.001);let u=[o,n,s],c=null;a!=null&&(c=a.shape,u.push(a));let l=null;i!=null&&(l=i.shape,u.push(i));let m=P().getBool("WEBGL_PACK_NORMALIZATION")?new kh(o.shape,n.shape,s.shape,c,l,p):new vh(o.shape,n.shape,s.shape,c,l,p);return e.runWebGLProgram(m,u,u[0].dtype)},QD={kernelName:wn,backendName:"webgl",kernelFunc:YZ};var Nh=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=Re(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let o=QZ(this.rank),n,s=e.map((a,i)=>`sourceLoc.${rv[i]} = start[${i}] + coords.${rv[i]};`);n=` ${t} sourceLoc; ${t} coords = getOutputCoords(); ${s.join(` @@ -2074,7 +2074,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${n} setOutput(getSource(${o})); } - `}},Lw=["x","y","z","w","u","v"];function LY(r){if(r===1)return"sourceLoc";if(r<=6)return Lw.slice(0,r).map(e=>"sourceLoc."+e).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var dh=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=$e(this.rank),o=Et("coords",this.rank),n=Et("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${n.slice(-2).join()})`,a=`getChannel(getSource(${n.join()}), ${s})`,i=` + `}},rv=["x","y","z","w","u","v"];function QZ(r){if(r===1)return"sourceLoc";if(r<=6)return rv.slice(0,r).map(e=>"sourceLoc."+e).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var Th=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=Re(this.rank),o=Rt("coords",this.rank),n=Rt("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${n.slice(-2).join()})`,a=`getChannel(getSource(${n.join()}), ${s})`,i=` result.x = ${a}; if (++${o[this.rank-1]} < ${e[this.rank-1]}) { ++${n[this.rank-1]}; @@ -2103,7 +2103,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${p} setOutput(result); } - `}};function BY(r,e,t,o){let n=o.texData.get(r.dataId),s=o.makeTensorInfo(t,r.dtype),a=o.texData.get(s.dataId);Object.assign(a,n),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=ut.computeFlatOffset(e,y.computeStrides(r.shape));n.slice&&(i+=n.slice.flatOffset),a.slice={flatOffset:i,origDataId:n.slice&&n.slice.origDataId||r.dataId};let p=o.dataRefCount.get(a.slice.origDataId)||1;return o.dataRefCount.set(a.slice.origDataId,p+1),s}function ls(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ut.parseSliceParams(n,s,a);if(ut.assertParamsValid(n,i,p),y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);if(t.shouldExecuteOnCPU([n])||n.dtype==="string"){let l=t.texData.get(n.dataId),m=xE(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}let{isPacked:u}=t.texData.get(n.dataId),c=ut.isSliceContinous(n.shape,i,p);if(u||!c){let l=O().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new dh(p):new mh(p),m=[i];return t.runWebGLProgram(l,[n],n.dtype,m)}return t.uploadToGPU(n.dataId),BY(n,i,p,t)}var TA={kernelName:Es,backendName:"webgl",kernelFunc:ls};var VY=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((b,C)=>b*C),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=[],f=re({inputs:{x:n},backend:t,attrs:{shape:p}}),h=yt({inputs:{x:f},backend:t,attrs:{perm:u}}),g=re({inputs:{x:h},backend:t,attrs:{shape:c}}),x=ls({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},_A={kernelName:bs,backendName:"webgl",kernelFunc:VY};function zY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.readSync(n.dataId),p=t.readSync(s.dataId),u=Kf(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var $A={kernelName:ti,backendName:"webgl",kernelFunc:zY};function WY(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.readSync(o.dataId),a=t.readSync(n.dataId),i=S.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],"int32",Int32Array.from(i))}var EA={kernelName:fp,backendName:"webgl",kernelFunc:WY};var UY="return float(a != b);",Bw=tt({opSnippet:UY,cpuKernelImpl:uE,dtype:"bool"}),AA={kernelName:Nn,backendName:"webgl",kernelFunc:Bw};function Ka(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.real},backend:t})}var RA={kernelName:di,backendName:"webgl",kernelFunc:Ka};var GY="return float(int(x));";function DA(r,e){let t=new Jt(r.shape,GY),o=e.runWebGLProgram(t,[r],"int32");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function Vw(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return At({inputs:{x:n},backend:t});let a=Br(n.shape),i=Vw({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),p=Ar({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),p}if(n.dtype==="complex64"){let a=Ka({inputs:{input:n},backend:t}),i=Vw({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=At({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.texData.get(n.dataId).values,[i,p,u]=W$(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s==="int32")return DA(n,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),p=Bw({inputs:{a:n,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var FA={kernelName:co,backendName:"webgl",kernelFunc:Vw};var OA="return ceil(x);",HY=he({opSnippet:OA,packedOpSnippet:OA,cpuKernelImpl:U$}),PA={kernelName:Wo,backendName:"webgl",kernelFunc:HY};var fh=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}};function ZZ(r,e,t,o){let n=o.texData.get(r.dataId),s=o.makeTensorInfo(t,r.dtype),a=o.texData.get(s.dataId);Object.assign(a,n),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=ct.computeFlatOffset(e,y.computeStrides(r.shape));n.slice&&(i+=n.slice.flatOffset),a.slice={flatOffset:i,origDataId:n.slice&&n.slice.origDataId||r.dataId};let p=o.dataRefCount.get(a.slice.origDataId)||1;return o.dataRefCount.set(a.slice.origDataId,p+1),s}function Ls(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ct.parseSliceParams(n,s,a);if(ct.assertParamsValid(n,i,p),y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);if(t.shouldExecuteOnCPU([n])||n.dtype==="string"){let l=t.texData.get(n.dataId),m=VR(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}let{isPacked:u}=t.texData.get(n.dataId),c=ct.isSliceContinous(n.shape,i,p);if(u||!c){let l=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Th(p):new Nh(p),m=[i];return t.runWebGLProgram(l,[n],n.dtype,m)}return t.uploadToGPU(n.dataId),ZZ(n,i,p,t)}var ZD={kernelName:pa,backendName:"webgl",kernelFunc:Ls};var JZ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((b,w)=>b*w),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=[],f=te({inputs:{x:n},backend:t,attrs:{shape:p}}),h=bt({inputs:{x:f},backend:t,attrs:{perm:u}}),g=te({inputs:{x:h},backend:t,attrs:{shape:c}}),x=Ls({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},JD={kernelName:js,backendName:"webgl",kernelFunc:JZ};function e9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=t.readSync(n.dataId),p=t.readSync(s.dataId),u=ah(i,p,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var eA={kernelName:Zo,backendName:"webgl",kernelFunc:e9};function t9(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.readSync(o.dataId),a=t.readSync(n.dataId),i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeTensorInfo([i.length],"int32",Int32Array.from(i))}var tA={kernelName:Xs,backendName:"webgl",kernelFunc:t9};var r9="return float(a != b);",ov=nt({opSnippet:r9,cpuKernelImpl:DR,dtype:"bool"}),rA={kernelName:qn,backendName:"webgl",kernelFunc:ov};function gi(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.real},backend:t})}var oA={kernelName:zi,backendName:"webgl",kernelFunc:gi};var o9="return float(int(x));";function nA(r,e){let t=new tr(r.shape,o9),o=e.runWebGLProgram(t,[r],"int32");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function nv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return Dt({inputs:{x:n},backend:t});let a=Wr(n.shape),i=nv({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),p=Fr({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),p}if(n.dtype==="complex64"){let a=gi({inputs:{input:n},backend:t}),i=nv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=Dt({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.texData.get(n.dataId).values,[i,p,u]=mR(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s==="int32")return nA(n,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),p=ov({inputs:{a:n,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var sA={kernelName:ho,backendName:"webgl",kernelFunc:nv};var aA="return ceil(x);",n9=ge({opSnippet:aA,packedOpSnippet:aA,cpuKernelImpl:dR}),iA={kernelName:Jo,backendName:"webgl",kernelFunc:n9};var _h=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { float value = getAAtOutCoords(); @@ -2114,7 +2114,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam setOutput(clamp(value, minVal, maxVal)); } - `}};var hh=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` + `}};var $h=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=` void main() { vec4 value = getAAtOutCoords(); @@ -2125,7 +2125,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } - `}};function KY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i;O().getBool("WEBGL_PACK_CLIP")?i=new hh(n.shape):i=new fh(n.shape);let p=[[s],[a]];return t.runWebGLProgram(i,[n],n.dtype,p)}var MA={kernelName:lo,backendName:"webgl",kernelFunc:KY};var gh=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` + `}};function s9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i;P().getBool("WEBGL_PACK_CLIP")?i=new $h(n.shape):i=new _h(n.shape);let p=[[s],[a]];return t.runWebGLProgram(i,[n],n.dtype,p)}var uA={kernelName:go,backendName:"webgl",kernelFunc:s9};var Eh=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); @@ -2138,7 +2138,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } - `}};function LA(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function qY(r){let{inputs:e,backend:t}=r,{x:o}=e,n=t.texData.get(o.dataId),s=new gh(o.shape),a=[LA(o,n.complexTensorInfos.real),LA(o,n.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var BA={kernelName:hp,backendName:"webgl",kernelFunc:qY};var xh=class{constructor(e){this.outputShape=[],this.outputShape=S.computeOutShape(e,1),this.variableNames=e.map((a,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a`T${g}`);let p=new Array(e.length-1);p[0]=e[0][t];for(let h=1;h`T${g}`);let p=new Array(e.length-1);p[0]=e[0][t];for(let h=1;h= ${p[h-1]}) { return getChannel( - getT${h}(${yh(i,u,g)}), - vec2(${yh(c,u,g)})); + getT${h}(${Dh(i,u,g)}), + vec2(${Dh(c,u,g)})); }`}let d=p.length,f=p[p.length-1];m+=` return getChannel( - getT${d}(${yh(i,u,f)}), - vec2(${yh(c,u,f)}));`,this.userCode=` + getT${d}(${Dh(i,u,f)}), + vec2(${Dh(c,u,f)}));`,this.userCode=` float getValue(${i.map(h=>"int "+h)}) { ${m} } @@ -2184,18 +2184,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(result); } - `}};function yh(r,e,t){let o=r.indexOf(e);return r.map((s,a)=>a===o?`${s} - ${t}`:s).join()}function Wu(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.imag},backend:t})}var VA={kernelName:ci,backendName:"webgl",kernelFunc:Wu};function hc(r,e,t){let o=r[0].dtype;if(o==="complex64"){let d=r.map(b=>Ka({inputs:{input:b},backend:t})),f=r.map(b=>Wu({inputs:{input:b},backend:t})),h=hc(d,e,t),g=hc(f,e,t),x=Ar({inputs:{real:h,imag:g},backend:t});return d.forEach(b=>t.disposeIntermediateTensorInfo(b)),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),x}let n=t.shouldExecuteOnCPU(r);if(o==="string"&&(n=!0),n){let d=r.map(w=>{let _=[-1,y.sizeFromShape(w.shape.slice(e))];return re({inputs:{x:w},backend:t,attrs:{shape:_}})}),f=d.map(w=>({vals:t.readSync(w.dataId),shape:w.shape})),h=S.computeOutShape(d.map(w=>w.shape),1),g=d[0].shape[0]===1,x=G$(f,h,o,g),b=S.computeOutShape(r.map(w=>w.shape),e),C=t.makeTensorInfo(b,o,x);return d.forEach(w=>t.disposeIntermediateTensorInfo(w)),C}let s=r.filter(d=>y.sizeFromShape(d.shape)>0),a=O().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let d=a?new Jt(r[0].shape,Zs):new Er(r[0].shape,Zs);return t.runWebGLProgram(d,r,o)}let i=O().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>i){let d=[];for(let h=0;hf.shape),e);return t.runWebGLProgram(d,s,o)}let{tensors2D:p,outShape:u}=jY(s,e,t),c=new xh(p.map(d=>d.shape)),l=t.runWebGLProgram(c,p,o);p.forEach(d=>t.disposeIntermediateTensorInfo(d));let m=re({inputs:{x:l},attrs:{shape:u},backend:t});return t.disposeIntermediateTensorInfo(l),m}function jY(r,e,t){let o=S.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>re({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:o}}function zw(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?At({inputs:{x:p[0]},backend:t}):hc(p,s,t)}var zA={kernelName:Cs,backendName:"webgl",kernelFunc:zw};var gc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,p=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,l=e.dilationWidth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,C=g?3:1,w="",k="";o&&(n?w=`float activation(float a) { + `}};function Dh(r,e,t){let o=r.indexOf(e);return r.map((s,a)=>a===o?`${s} - ${t}`:s).join()}function wp(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.texData.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.imag},backend:t})}var lA={kernelName:Mi,backendName:"webgl",kernelFunc:wp};function Bc(r,e,t){let o=r[0].dtype;if(o==="complex64"){let d=r.map(b=>gi({inputs:{input:b},backend:t})),f=r.map(b=>wp({inputs:{input:b},backend:t})),h=Bc(d,e,t),g=Bc(f,e,t),x=Fr({inputs:{real:h,imag:g},backend:t});return d.forEach(b=>t.disposeIntermediateTensorInfo(b)),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),x}let n=t.shouldExecuteOnCPU(r);if(o==="string"&&(n=!0),n){let d=r.map(S=>{let _=[-1,y.sizeFromShape(S.shape.slice(e))];return te({inputs:{x:S},backend:t,attrs:{shape:_}})}),f=d.map(S=>({vals:t.readSync(S.dataId),shape:S.shape})),h=C.computeOutShape(d.map(S=>S.shape),1),g=d[0].shape[0]===1,x=fR(f,h,o,g),b=C.computeOutShape(r.map(S=>S.shape),e),w=t.makeTensorInfo(b,o,x);return d.forEach(S=>t.disposeIntermediateTensorInfo(S)),w}let s=r.filter(d=>y.sizeFromShape(d.shape)>0),a=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let d=a?new tr(r[0].shape,Ra):new Ar(r[0].shape,Ra);return t.runWebGLProgram(d,r,o)}let i=P().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>i){let d=[];for(let h=0;hf.shape),e);return t.runWebGLProgram(d,s,o)}let{tensors2D:p,outShape:u}=i9(s,e,t),c=new Rh(p.map(d=>d.shape)),l=t.runWebGLProgram(c,p,o);p.forEach(d=>t.disposeIntermediateTensorInfo(d));let m=te({inputs:{x:l},attrs:{shape:u},backend:t});return t.disposeIntermediateTensorInfo(l),m}function i9(r,e,t){let o=C.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>te({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:o}}function sv(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?Dt({inputs:{x:p[0]},backend:t}):Bc(p,s,t)}var mA={kernelName:Ys,backendName:"webgl",kernelFunc:sv};var zc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,p=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,l=e.dilationWidth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,S="",k="";o&&(n?S=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${o} - }`:s?w=`float activation(float a) { + }`:s?S=`float activation(float a) { float b = getLeakyreluAlphaAtOutCoords(); ${o} - }`:w=` + }`:S=` float activation(float x) { ${o} } `,k="result = activation(result);");let _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=` - ${w} + ${S} const ivec2 strides = ivec2(${p}, ${u}); const ivec2 pads = ivec2(${a}, ${i}); @@ -2203,7 +2203,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; - int d2 = coords[${C}]; + int d2 = coords[${w}]; ivec2 xRCCorner = ivec2(coords[${x}], coords[${b}]) * strides - pads; @@ -2318,7 +2318,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${k} setOutput(result); } - `}},Ch=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,o=e.padInfo.top,n=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=` + `}},Fh=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,o=e.padInfo.top,n=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,m=e.filterHeight,d=e.filterWidth,f=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${s}, ${a}, ${i}); const ivec3 pads = ivec3(${t}, ${o}, ${n}); @@ -2406,7 +2406,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}};var xc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.padInfo.left,i=e.strideWidth,p=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,l=c,m=` + `}};var Vc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.padInfo.left,i=e.strideWidth,p=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,l=c,m=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Ih({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=r.shape,u=o.texData.get(r.dataId),c=t.inChannels,l=p[0]*p[1]*p[2],m=t.outChannels,d=t.dataFormat==="channelsLast",f=!1,h=!1,g,x=[];if(s!=null){let w=wh(s.shape,d);w!=null&&(s=re({inputs:{x:s},backend:o,attrs:{shape:w}}),x.push(s))}if(n!=null){let w=wh(n.shape,d);w!=null&&(n=re({inputs:{x:n},backend:o,attrs:{shape:w}}),x.push(n))}if(!((l===1||m===1)&&c>Mw)&&u.isPacked&&d&&u.texture!=null&&p[2]%2!==0&&y.arraysEqual(u.shape.slice(-3),p.slice(-3))){let w=p[0]*p[1]*(p[2]+1),k={dataId:r.dataId,shape:[1,w,t.inChannels],dtype:r.dtype},_=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(Bi(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let E=re({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(E);let A=zu({a:k,b:E,backend:o,transposeA:f,transposeB:h,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),R=o.texData.get(A.dataId);y.assert(R.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=_,R.shape=t.outShape,g=At({inputs:{x:A},backend:o}),g.shape=t.outShape,x.push(A)}else{let w=t.outHeight*t.outWidth,k=re({inputs:{x:r},backend:o,attrs:{shape:d?[t.batchSize,w,t.inChannels]:[t.batchSize,t.inChannels,w]}}),_=re({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}}),E=zu({a:d?k:_,b:d?_:k,transposeA:!d,transposeB:h,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=re({inputs:{x:E},backend:o,attrs:{shape:t.outShape}}),x.push(k),x.push(_),x.push(E)}for(let w of x)o.disposeIntermediateTensorInfo(w);return g}function vh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,outWidth:l,outHeight:m,dataFormat:d}=t,f=d==="channelsLast",h=p*u*c,g=m*l,x=[t.batchSize,h,g],b=!0,C=!1,w=[];if(s!=null){let H=wh(s.shape,f);H!=null&&(s=re({inputs:{x:s},backend:o,attrs:{shape:H}}),w.push(s))}if(n!=null){let H=wh(n.shape,f);H!=null&&(n=re({inputs:{x:n},backend:o,attrs:{shape:H}}),w.push(n))}let k=re({inputs:{x:e},backend:o,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});w.push(k);let _=new Sh(x,t),E=[r.shape,[t.padInfo.top,t.padInfo.left],[t.strideHeight,t.strideWidth],[t.dilationHeight,t.dilationWidth],[t.inChannels],[t.filterWidth*t.inChannels],[t.outWidth]],A=o.runWebGLProgram(_,[r],"float32",E),R=re({inputs:{x:A},backend:o,attrs:{shape:x}});w.push(A),w.push(R);let D=n!=null,P=s!=null,M=i==="leakyrelu",L=i?Ha(i,!0):null,V=new fc(f?R.shape:k.shape,f?k.shape:R.shape,f?[t.batchSize,g,t.outChannels]:[t.batchSize,t.outChannels,g],b,C,D,L,P,M),z=f?[R,k]:[k,R];if(n&&z.push(n),P&&z.push(s),M){let H=o.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));z.push(H),w.push(H)}let U=o.runWebGLProgram(V,z,"float32"),K=re({inputs:{x:U},backend:o,attrs:{shape:t.outShape}});w.push(U);for(let H of w)o.disposeIntermediateTensorInfo(H);return K}function XY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))d=Ih({x:n,filter:s,convInfo:m,backend:t});else if(m.strideWidth<=2&&l==="channelsLast"&&O().getBool("WEBGL_EXP_CONV")){let h=new xc(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];d=t.runWebGLProgram(h,[n,s],"float32",g)}else if(O().getBool("WEBGL_CONV_IM2COL"))d=vh({x:n,filter:s,convInfo:m,backend:t});else{let h=new gc(m);d=t.runWebGLProgram(h,[n,s],"float32")}let f=re({inputs:{x:d},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(d),f}var WA={kernelName:Uo,backendName:"webgl",kernelFunc:XY};var kh=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode=` + `}};function Oh(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Mh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=r.shape,u=o.texData.get(r.dataId),c=t.inChannels,l=p[0]*p[1]*p[2],m=t.outChannels,d=t.dataFormat==="channelsLast",f=!1,h=!1,g,x=[];if(s!=null){let S=Oh(s.shape,d);S!=null&&(s=te({inputs:{x:s},backend:o,attrs:{shape:S}}),x.push(s))}if(n!=null){let S=Oh(n.shape,d);S!=null&&(n=te({inputs:{x:n},backend:o,attrs:{shape:S}}),x.push(n))}if(!((l===1||m===1)&&c>tv)&&u.isPacked&&d&&u.texture!=null&&p[2]%2!==0&&y.arraysEqual(u.shape.slice(-3),p.slice(-3))){let S=p[0]*p[1]*(p[2]+1),k={dataId:r.dataId,shape:[1,S,t.inChannels],dtype:r.dtype},_=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(fu(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let E=te({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(E);let R=Cp({a:k,b:E,backend:o,transposeA:f,transposeB:h,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),D=o.texData.get(R.dataId);y.assert(D.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=_,D.shape=t.outShape,g=Dt({inputs:{x:R},backend:o}),g.shape=t.outShape,x.push(R)}else{let S=t.outHeight*t.outWidth,k=te({inputs:{x:r},backend:o,attrs:{shape:d?[t.batchSize,S,t.inChannels]:[t.batchSize,t.inChannels,S]}}),_=te({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}}),E=Cp({a:d?k:_,b:d?_:k,transposeA:!d,transposeB:h,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=te({inputs:{x:E},backend:o,attrs:{shape:t.outShape}}),x.push(k),x.push(_),x.push(E)}for(let S of x)o.disposeIntermediateTensorInfo(S);return g}function Lh({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,outWidth:l,outHeight:m,dataFormat:d}=t,f=d==="channelsLast",h=p*u*c,g=m*l,x=[t.batchSize,h,g],b=!0,w=!1,S=[];if(s!=null){let H=Oh(s.shape,f);H!=null&&(s=te({inputs:{x:s},backend:o,attrs:{shape:H}}),S.push(s))}if(n!=null){let H=Oh(n.shape,f);H!=null&&(n=te({inputs:{x:n},backend:o,attrs:{shape:H}}),S.push(n))}let k=te({inputs:{x:e},backend:o,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});S.push(k);let _=new Ph(x,t),E=[r.shape,[t.padInfo.top,t.padInfo.left],[t.strideHeight,t.strideWidth],[t.dilationHeight,t.dilationWidth],[t.inChannels],[t.filterWidth*t.inChannels],[t.outWidth]],R=o.runWebGLProgram(_,[r],"float32",E),D=te({inputs:{x:R},backend:o,attrs:{shape:x}});S.push(R),S.push(D);let F=n!=null,O=s!=null,M=i==="leakyrelu",L=i?hi(i,!0):null,B=new Lc(f?D.shape:k.shape,f?k.shape:D.shape,f?[t.batchSize,g,t.outChannels]:[t.batchSize,t.outChannels,g],b,w,F,L,O,M),z=f?[D,k]:[k,D];if(n&&z.push(n),O&&z.push(s),M){let H=o.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));z.push(H),S.push(H)}let U=o.runWebGLProgram(B,z,"float32"),j=te({inputs:{x:U},backend:o,attrs:{shape:t.outShape}});S.push(U);for(let H of S)o.disposeIntermediateTensorInfo(H);return j}function u9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l),d;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))d=Mh({x:n,filter:s,convInfo:m,backend:t});else if(m.strideWidth<=2&&l==="channelsLast"&&P().getBool("WEBGL_EXP_CONV")){let h=new Vc(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];d=t.runWebGLProgram(h,[n,s],"float32",g)}else if(P().getBool("WEBGL_CONV_IM2COL"))d=Lh({x:n,filter:s,convInfo:m,backend:t});else{let h=new zc(m);d=t.runWebGLProgram(h,[n,s],"float32")}let f=te({inputs:{x:d},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(d),f}var dA={kernelName:en,backendName:"webgl",kernelFunc:u9};var Bh=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -2676,22 +2676,17 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam continue; } - if (${a}) { - float dyValue = getDy(b, yR, yC, d2); - float xValue = getX(b, xR, xC, d1); - dotProd += (xValue * dyValue); - } else { - float dyValue = getDy(b, d2, yR, yC); - float xValue = getX(b, d1, xR, xC); - dotProd += (xValue * dyValue); - } - + ${a?`float dyValue = getDy(b, yR, yC, d2); + float xValue = getX(b, xR, xC, d1); + dotProd += (xValue * dyValue);`:`float dyValue = getDy(b, d2, yR, yC); + float xValue = getX(b, d1, xR, xC); + dotProd += (xValue * dyValue);`} } } } setOutput(dotProd); } - `}},Nh=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,p=o-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode=` + `}},zh=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,p=o-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode=` const ivec2 pads = ivec2(${i}, ${p}); void main() { @@ -2744,7 +2739,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}},Th=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=` + `}},Vh=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; @@ -2786,7 +2781,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}},_h=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=t-1-e.padInfo.front,u=o-1-e.padInfo.top,c=n-1-e.padInfo.left;this.userCode=` + `}},Wh=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,o=e.filterHeight,n=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,p=t-1-e.padInfo.front,u=o-1-e.padInfo.top,c=n-1-e.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${p}, ${u}, ${c}); void main() { @@ -2843,14 +2838,93 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}};function YY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new kh(m);return t.runWebGLProgram(d,[n,s],"float32")}var UA={kernelName:oi,backendName:"webgl",kernelFunc:YY};function QY(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=new Nh(m);return t.runWebGLProgram(d,[n,s],"float32")}var GA={kernelName:Go,backendName:"webgl",kernelFunc:QY};function ZY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeConv3DInfo(n.shape,s.shape,a,p,i),c=new Ch(u);return t.runWebGLProgram(c,[n,s],"float32")}var HA={kernelName:gp,backendName:"webgl",kernelFunc:ZY};function JY(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=S.computeConv3DInfo(n.shape,p,a,1,i),c=new Th(u);return t.runWebGLProgram(c,[n,s],"float32")}var KA={kernelName:km,backendName:"webgl",kernelFunc:JY};function eQ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{pad:a,strides:i,inputShape:p}=o,u=S.computeConv3DInfo(p,s.shape,i,1,a),c=new _h(u);return t.runWebGLProgram(c,[n,s],"float32")}var qA={kernelName:xp,backendName:"webgl",kernelFunc:eQ};var tQ=$o+` + `}};function p9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new Bh(m);return t.runWebGLProgram(d,[n,s],"float32")}var fA={kernelName:$i,backendName:"webgl",kernelFunc:p9};var Uh=class{constructor(e){this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=e.inShape,this.enableShapeUniforms=ut(this.outputShape.length);let t=e.filterHeight,o=e.filterWidth,n=t-1-e.padInfo.top,s=o-1-e.padInfo.left;this.userCode=` + const ivec2 pads = ivec2(${n}, ${s}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d1 = coords[3]; + + ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads; + int dyRCorner = dyCorner.x; + int dyCCorner = dyCorner.y; + + vec4 result = vec4(0.); + for (int wR = 0; wR < ${t}; wR++) { + float dyR = float(dyRCorner + wR) / strides[0]; + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + int wRPerm = ${t} - 1 - wR; + + for (int wC = 0; wC < ${o}; wC++) { + int wCPerm = ${o} - 1 - wC; + + float dyC = float(dyCCorner + wC) / strides[1]; + bool idyCVal = (dyC >= 0.0) && (dyC < ${e.outWidth}.0) + && (fract(dyC) == 0.0); + int idyC = int(dyC); + + float dyC2 = float(dyCCorner + wC + 1) / strides[1]; + bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ${e.outWidth}.0) + && (fract(dyC2) == 0.0); + int idyC2 = int(dyC2); + + if (idyCVal && idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec4 dySample2 = (idyC / 2 == idyC2 / 2) ? + dySample : getDy(batch, idyR, idyC2, d2); + + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + + dyValue = mod(float(idyC2), 2.) == 0. ? + dySample2.xy : dySample2.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC, d2); + vec2 dyValue = mod(float(idyC), 2.) == 0. ? + dySample.xy : dySample.zw; + result.xy += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } else if (idyCVal2) { + for (int d2 = 0; d2 < ${e.outChannels}; d2 += 2) { + vec4 wValue = getW(wRPerm, wCPerm, d1, d2); + vec4 dySample = getDy(batch, idyR, idyC2, d2); + vec2 dyValue = mod(float(idyC2), 2.) == 0. ? + dySample.xy : dySample.zw; + result.zw += vec2(dot(dyValue, wValue.xy), + dot(dyValue, wValue.zw)); + } + } + } + } + setOutput(result); + } + `}};function c9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(u),m=C.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l);if(P().getBool("WEBGL_PACK")&&l==="channelsLast"){let d=[[m.strideHeight,m.strideWidth]],f=new Uh(m);return t.runWebGLProgram(f,[n,s],"float32",d)}else{let d=new zh(m);return t.runWebGLProgram(d,[n,s],"float32")}}var hA={kernelName:tn,backendName:"webgl",kernelFunc:c9};function l9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeConv3DInfo(n.shape,s.shape,a,p,i),c=new Fh(u);return t.runWebGLProgram(c,[n,s],"float32")}var gA={kernelName:rn,backendName:"webgl",kernelFunc:l9};function m9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=C.computeConv3DInfo(n.shape,p,a,1,i),c=new Vh(u);return t.runWebGLProgram(c,[n,s],"float32")}var xA={kernelName:za,backendName:"webgl",kernelFunc:m9};function d9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{pad:a,strides:i,inputShape:p}=o,u=C.computeConv3DInfo(p,s.shape,i,1,a),c=new Wh(u);return t.runWebGLProgram(c,[n,s],"float32")}var yA={kernelName:on,backendName:"webgl",kernelFunc:d9};var f9=Do+` return cos(x); -`,rQ=he({opSnippet:tQ}),jA={kernelName:Ho,backendName:"webgl",kernelFunc:rQ};var oQ=` +`,h9=` + vec4 result = cos(x); + bvec4 isNaN = isnan(x); + ${Kr} + return result; +`,g9=ge({opSnippet:f9,packedOpSnippet:h9}),bA={kernelName:nn,backendName:"webgl",kernelFunc:g9};var x9=` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; -`,nQ=he({opSnippet:oQ}),XA={kernelName:Ko,backendName:"webgl",kernelFunc:nQ};var $h=class{constructor(e,t,o,n,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,i,p,u]=e,[c]=t,[l,m]=o;this.outputShape=[c,l,m,u];let d=n==="bilinear"?1:0,[f,h]=[`${i-1}.0`,`${p-1}.0`],[g,x,b]=l>1?[`${(i-1)/(l-1)}`,"(y2-y1) * height_ratio",`y1*${f} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${f}`],[C,w,k]=m>1?[`${(p-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=` +`,y9=ge({opSnippet:x9}),CA={kernelName:sn,backendName:"webgl",kernelFunc:y9};var Gh=class{constructor(e,t,o,n,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,i,p,u]=e,[c]=t,[l,m]=o;this.outputShape=[c,l,m,u];let d=n==="bilinear"?1:0,[f,h]=[`${i-1}.0`,`${p-1}.0`],[g,x,b]=l>1?[`${(i-1)/(l-1)}`,"(y2-y1) * height_ratio",`y1*${f} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${f}`],[w,S,k]=m>1?[`${(p-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=` const float height_ratio = float(${g}); - const float width_ratio = float(${C}); + const float width_ratio = float(${w}); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2871,7 +2945,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } float height_scale = ${x}; - float width_scale = ${w}; + float width_scale = ${S}; float in_y = ${b}; if( in_y < 0.0 || in_y > ${f} ) { @@ -2909,20 +2983,20 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam setOutput(newValue); } } - `}};var sQ=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new $h(n.shape,s.shape,i,p,u);return t.runWebGLProgram(c,[n,s,a],"float32")},YA={kernelName:Xo,backendName:"webgl",kernelFunc:sQ};var Uu;(function(r){r.Prod="*",r.Sum="+"})(Uu||(Uu={}));var Rl=class{constructor(e,t,o,n){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,a=this.op===Uu.Prod?"1.0":"0.0",i=o?a:`getX(${QA(s,"coords",this.op)})`,p=this.outputShape[this.outputShape.length-1],u="",c="";o?(u=n?`end != ${p-1}`:"end != 0",c=n?"end + 1":"end - 1"):(u=n?`end + pow2 < ${p}`:"end >= pow2",c=n?"end + pow2":"end - pow2"),this.userCode=` + `}};var b9=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new Gh(n.shape,s.shape,i,p,u);return t.runWebGLProgram(c,[n,s,a],"float32")},wA={kernelName:pn,backendName:"webgl",kernelFunc:b9};var Sp;(function(r){r.Prod="*",r.Sum="+"})(Sp||(Sp={}));var em=class{constructor(e,t,o,n){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,a=this.op===Sp.Prod?"1.0":"0.0",i=o?a:`getX(${SA(s,"coords",this.op)})`,p=this.outputShape[this.outputShape.length-1],u="",c="";o?(u=n?`end != ${p-1}`:"end != 0",c=n?"end + 1":"end - 1"):(u=n?`end + pow2 < ${p}`:"end >= pow2",c=n?"end + pow2":"end - pow2"),this.userCode=` void main() { - ${$e(s)} coords = getOutputCoords(); - int end = ${ZA(s,"coords",this.op)}; + ${Re(s)} coords = getOutputCoords(); + int end = ${IA(s,"coords",this.op)}; float val = ${i}; int pow2 = int(pow(2.0, index)); if (${u}) { int idx = ${c}; - ${ZA(s,"coords",this.op)} = idx; - val ${this.op}= getX(${QA(s,"coords",this.op)}); + ${IA(s,"coords",this.op)} = idx; + val ${this.op}= getX(${SA(s,"coords",this.op)}); } setOutput(val); } - `}};function QA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function ZA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Eh(r,e,t,o,n,s){let a=e.shape.length,i=S.getAxesPermutation([o],a),p=e;i!=null&&(p=yt({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=S.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=At({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new Rl(r,p.shape,!1,s),f=[[m]],h=l;l=t.runWebGLProgram(d,[l],l.dtype,f),t.disposeIntermediateTensorInfo(h)}if(n){let m=new Rl(r,p.shape,n,s),d=l;l=t.runWebGLProgram(m,[l],l.dtype),t.disposeIntermediateTensorInfo(d)}if(i!=null){let m=S.getUndoAxesPermutation(i),d=yt({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(p),d}return l}function aQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Eh(Uu.Prod,n,t,s,a,i)}var JA={kernelName:qo,backendName:"webgl",kernelFunc:aQ};function iQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Eh(Uu.Sum,n,t,s,a,i)}var eR={kernelName:jo,backendName:"webgl",kernelFunc:iQ};function uQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o;if(n.shape.length===1){let p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=Kf(p,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(n.shape.length===2){let p=t.bufferSync(n),u=t.bufferSync(s),c=z$(p,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`)}var tR={kernelName:ni,backendName:"webgl",kernelFunc:uQ};var Ah=class{constructor(e,t,o){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=o,this.userCode=` + `}};function SA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function IA(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw new Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Hh(r,e,t,o,n,s){let a=e.shape.length,i=C.getAxesPermutation([o],a),p=e;i!=null&&(p=bt({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=C.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=Dt({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new em(r,p.shape,!1,s),f=[[m]],h=l;l=t.runWebGLProgram(d,[l],l.dtype,f),t.disposeIntermediateTensorInfo(h)}if(n){let m=new em(r,p.shape,n,s),d=l;l=t.runWebGLProgram(m,[l],l.dtype),t.disposeIntermediateTensorInfo(d)}if(i!=null){let m=C.getUndoAxesPermutation(i),d=bt({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(p),d}return l}function C9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Hh(Sp.Prod,n,t,s,a,i)}var vA={kernelName:an,backendName:"webgl",kernelFunc:C9};function w9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return Hh(Sp.Sum,n,t,s,a,i)}var kA={kernelName:un,backendName:"webgl",kernelFunc:w9};function S9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o;if(n.shape.length===1){let p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=ah(p,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(n.shape.length===2){let p=t.bufferSync(n),u=t.bufferSync(s),c=lR(p,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${n.shape.length}.`)}var NA={kernelName:Qs,backendName:"webgl",kernelFunc:S9};var Kh=class{constructor(e,t,o){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=o,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -2941,7 +3015,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam float result = ${this.getInputSamplingString()}; setOutput(result); } - `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function pQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=new Ah(f,s,a);return t.runWebGLProgram(h,[n],n.dtype)}var rR={kernelName:Yo,backendName:"webgl",kernelFunc:pQ};var yc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.filterHeight,i=e.filterWidth,p=e.outChannels/e.inChannels,u="",c="";o&&(n?u=`float activation(float a) { + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function I9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=new Kh(f,s,a);return t.runWebGLProgram(h,[n],n.dtype)}var TA={kernelName:cn,backendName:"webgl",kernelFunc:I9};var Wc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.filterHeight,i=e.filterWidth,p=e.outChannels/e.inChannels,u="",c="";o&&(n?u=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${o} }`:s?u=`float activation(float a) { @@ -2994,7 +3068,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${c} setOutput(result); } - `}};var bc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=lt(this.outputShape.length);let a=e.outChannels/e.inChannels,i=e.padInfo.left,p=e.strideWidth,u=e.dilationWidth,c=e.filterHeight,l=e.filterWidth,m=l,d=` + `}};var Uc=class{constructor(e,t=!1,o=null,n=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=ut(this.outputShape.length);let a=e.outChannels/e.inChannels,i=e.padInfo.left,p=e.strideWidth,u=e.dilationWidth,c=e.filterHeight,l=e.filterWidth,m=l,d=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xCOffset, d1); @@ -3076,10 +3150,10 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } `:d+=` xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy); - `):C===1?d+=` + `):w===1?d+=` xC${b+1} = xTexelC${b}; `:d+=` - xCOffset = xC + ${C}; + xCOffset = xC + ${w}; if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xCOffset, d1); @@ -3183,7 +3257,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${h} setOutput(result); } - `}};function cQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p,dimRoundingMode:u}=o,c=p;c==null&&(c=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(a,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let l=S.computeConv2DInfo(n.shape,s.shape,a,c,i,u,!0),m;O().getBool("WEBGL_PACK_DEPTHWISECONV")&&l.strideWidth<=2&&l.outChannels/l.inChannels===1?m=new bc(l):m=new yc(l);let d=[[l.padInfo.top,l.padInfo.left],[l.strideHeight,l.strideWidth],[l.dilationHeight,l.dilationWidth],[l.inHeight,l.inWidth]];return t.runWebGLProgram(m,[n,s],"float32",d)}var oR={kernelName:Qo,backendName:"webgl",kernelFunc:cQ};var Rh=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=` + `}};function v9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p,dimRoundingMode:u}=o,c=p;c==null&&(c=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(a,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let l=C.computeConv2DInfo(n.shape,s.shape,a,c,i,u,!0),m;P().getBool("WEBGL_PACK_DEPTHWISECONV")&&l.strideWidth<=2&&l.outChannels/l.inChannels===1?m=new Uc(l):m=new Wc(l);let d=[[l.padInfo.top,l.padInfo.left],[l.strideHeight,l.strideWidth],[l.dilationHeight,l.dilationWidth],[l.inHeight,l.inWidth]];return t.runWebGLProgram(m,[n,s],"float32",d)}var _A={kernelName:ln,backendName:"webgl",kernelFunc:v9};var qh=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,o=e.strideWidth,n=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; @@ -3218,7 +3292,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}},Dh=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=o-1-e.padInfo.left,p=e.outChannels/e.inChannels;this.userCode=` + `}},jh=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,o=e.filterWidth,n=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=o-1-e.padInfo.left,p=e.outChannels/e.inChannels;this.userCode=` const ivec2 pads = ivec2(${a}, ${i}); void main() { @@ -3263,13 +3337,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}};function lQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=S.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new Rh(l);return t.runWebGLProgram(m,[n,s],"float32")}var nR={kernelName:yp,backendName:"webgl",kernelFunc:lQ};function mQ(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=S.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new Dh(l);return t.runWebGLProgram(m,[n,s],"float32")}var sR={kernelName:bp,backendName:"webgl",kernelFunc:mQ};var Fh=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` + `}};function k9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=C.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new qh(l);return t.runWebGLProgram(m,[n,s],"float32")}var $A={kernelName:Ei,backendName:"webgl",kernelFunc:k9};function N9(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=C.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new jh(l);return t.runWebGLProgram(m,[n,s],"float32")}var EA={kernelName:Ri,backendName:"webgl",kernelFunc:N9};var Xh=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } - `}};function dQ(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=re({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new Fh(s),p=t.runWebGLProgram(i,[a],a.dtype),u=re({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(p),u}var aR={kernelName:si,backendName:"webgl",kernelFunc:dQ};var Oh=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:o,padInfo:n,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:p,dilationHeight:u,dilationWidth:c}=e,{top:l,left:m}=n;this.userCode=` + `}};function T9(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=te({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new Xh(s),p=t.runWebGLProgram(i,[a],a.dtype),u=te({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(p),u}var RA={kernelName:Zs,backendName:"webgl",kernelFunc:T9};var Yh=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:o,padInfo:n,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:p,dilationHeight:u,dilationWidth:c}=e,{top:l,left:m}=n;this.userCode=` const ivec2 strides = ivec2(${s}, ${a}); const ivec2 pads = ivec2(${l}, ${m}); const float neg_infinity = -3.4e38; @@ -3307,7 +3381,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam float result = curVal; setOutput(result); } - `}};function fQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeDilation2DInfo(n.shape,s.shape,a,i,"NHWC",p),c,l=new Oh(u);c=t.runWebGLProgram(l,[n,s],"float32");let m=re({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var iR={kernelName:ai,backendName:"webgl",kernelFunc:fQ};function hQ(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=S.decodeEinsumEquation(n,s.length);S.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=S.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=Vu({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var uR={kernelName:ii,backendName:"webgl",kernelFunc:hQ};var gQ="return (x >= 0.0) ? x : (exp(x) - 1.0);",xQ=` + `}};function _9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeDilation2DInfo(n.shape,s.shape,a,i,"NHWC",p),c,l=new Yh(u);c=t.runWebGLProgram(l,[n,s],"float32");let m=te({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var DA={kernelName:mn,backendName:"webgl",kernelFunc:_9};function $9(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=C.decodeEinsumEquation(n,s.length);C.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=C.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=bp({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeIntermediateTensorInfo(h);return m}var AA={kernelName:Fi,backendName:"webgl",kernelFunc:$9};var E9="return (x >= 0.0) ? x : (exp(x) - 1.0);",R9=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); @@ -3316,29 +3390,29 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; -`,yQ=he({opSnippet:gQ,packedOpSnippet:xQ}),pR={kernelName:Jo,backendName:"webgl",kernelFunc:yQ};var bQ="return (b >= 1.0) ? a : a * (b + 1.0);",CQ=` +`,D9=ge({opSnippet:E9,packedOpSnippet:R9}),FA={kernelName:fn,backendName:"webgl",kernelFunc:D9};var A9="return (b >= 0.0) ? a : a * (b + 1.0);",F9=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); -`,SQ=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=O().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _o(CQ,o.shape,n.shape):new io(bQ,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],o.dtype)},cR={kernelName:Nm,backendName:"webgl",kernelFunc:SQ};var wQ=` +`,P9=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=P().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ro(F9,o.shape,n.shape):new lo(A9,o.shape,n.shape);return t.runWebGLProgram(s,[o,n],o.dtype)},PA={kernelName:Va,backendName:"webgl",kernelFunc:P9};var O9=` return vec4(equal(a, b)); -`,IQ="return float(a == b);",vQ=tt({opSnippet:IQ,packedOpSnippet:wQ,dtype:"bool",cpuKernelImpl:H$}),lR={kernelName:en,backendName:"webgl",kernelFunc:vQ};var kQ=` +`,M9="return float(a == b);",L9=nt({opSnippet:M9,packedOpSnippet:O9,dtype:"bool",cpuKernelImpl:hR}),OA={kernelName:hn,backendName:"webgl",kernelFunc:L9};var B9=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - float p = ${S.ERF_P}; - float a1 = ${S.ERF_A1}; - float a2 = ${S.ERF_A2}; - float a3 = ${S.ERF_A3}; - float a4 = ${S.ERF_A4}; - float a5 = ${S.ERF_A5}; + float p = ${C.ERF_P}; + float a1 = ${C.ERF_A1}; + float a2 = ${C.ERF_A2}; + float a3 = ${C.ERF_A3}; + float a4 = ${C.ERF_A4}; + float a5 = ${C.ERF_A5}; float sign = sign(x); x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); -`,NQ=he({opSnippet:kQ}),mR={kernelName:da,backendName:"webgl",kernelFunc:NQ};var TQ=$o+` +`,z9=ge({opSnippet:B9}),MA={kernelName:Wa,backendName:"webgl",kernelFunc:z9};var V9=Do+` return exp(x); -`,_Q=` +`,W9=` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; @@ -3347,7 +3421,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam result.a = isNaN.a ? x.a : result.a; return result; -`,Ww=he({opSnippet:TQ,packedOpSnippet:_Q,cpuKernelImpl:K$,dtype:"float32"}),dR={kernelName:tn,backendName:"webgl",kernelFunc:Ww};function Ph(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),re({inputs:{x:s},backend:o,attrs:{shape:i}})}var fR={kernelName:Ss,backendName:"webgl",kernelFunc:Ph};var hR="return exp(x) - 1.0;",$Q=he({opSnippet:hR,packedOpSnippet:hR,cpuKernelImpl:q$}),gR={kernelName:fa,backendName:"webgl",kernelFunc:$Q};var Dl=class{constructor(e,t,o){this.variableNames=["real","imag"];let n=t[1];this.outputShape=t;let s=o?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=o?`${n}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` +`,av=ge({opSnippet:V9,packedOpSnippet:W9,cpuKernelImpl:gR,dtype:"float32"}),LA={kernelName:gn,backendName:"webgl",kernelFunc:av};function Qh(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),te({inputs:{x:s},backend:o,attrs:{shape:i}})}var BA={kernelName:Js,backendName:"webgl",kernelFunc:Qh};var zA="return exp(x) - 1.0;",U9=ge({opSnippet:zA,packedOpSnippet:zA,cpuKernelImpl:xR}),VA={kernelName:xn,backendName:"webgl",kernelFunc:U9};var tm=class{constructor(e,t,o){this.variableNames=["real","imag"];let n=t[1];this.outputShape=t;let s=o?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=o?`${n}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` const float exponentMultiplier = ${s}; float unaryOpComplex(float real, float expR, float imag, float expI) { @@ -3380,12 +3454,12 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } - `}};function Mh(r,e,t){let o=t.texData.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=re({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),p=i.shape,u=new Dl("real",p,e),c=new Dl("imag",p,e),l=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:p},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:p}],m=t.runWebGLProgram(u,l,"float32"),d=t.runWebGLProgram(c,l,"float32"),f=Ar({inputs:{real:m,imag:d},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d);let h=re({inputs:{x:f},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(f),h}function EQ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Mh(o,!1,t)}var xR={kernelName:ui,backendName:"webgl",kernelFunc:EQ};var Lh=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` + `}};function Zh(r,e,t){let o=t.texData.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=te({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),p=i.shape,u=new tm("real",p,e),c=new tm("imag",p,e),l=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:p},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:p}],m=t.runWebGLProgram(u,l,"float32"),d=t.runWebGLProgram(c,l,"float32"),f=Fr({inputs:{real:m,imag:d},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d);let h=te({inputs:{x:f},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(f),h}function G9(r){let{inputs:e,backend:t}=r,{input:o}=e;return Zh(o,!1,t)}var WA={kernelName:Pi,backendName:"webgl",kernelFunc:G9};var Jh=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } - `}};function qa(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Lh(o,n),i=[[n]];return e.runWebGLProgram(a,[],s,i)}}var yR={kernelName:ws,backendName:"webgl",kernelFunc:qa};var Bh=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` + `}};function xi(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Jh(o,n),i=[[n]];return e.runWebGLProgram(a,[],s,i)}}var UA={kernelName:ea,backendName:"webgl",kernelFunc:xi};var eg=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; @@ -3399,7 +3473,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(outputValue); } - `}};var bR={kernelName:rn,backendName:"webgl",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new Bh(t.shape);return o.runWebGLProgram(n,[t],t.dtype)}};var CR="return floor(x);",AQ=he({opSnippet:CR,packedOpSnippet:CR,cpuKernelImpl:j$}),SR={kernelName:on,backendName:"webgl",kernelFunc:AQ};var RQ=` + `}};var GA={kernelName:yn,backendName:"webgl",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new eg(t.shape);return o.runWebGLProgram(n,[t],t.dtype)}};var HA="return floor(x);",H9=ge({opSnippet:HA,packedOpSnippet:HA,cpuKernelImpl:yR}),KA={kernelName:bn,backendName:"webgl",kernelFunc:H9};var K9=` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); @@ -3409,7 +3483,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } else { return NAN; } -`,DQ=` +`,q9=` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); @@ -3430,7 +3504,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); -`,FQ=tt({opSnippet:RQ,packedOpSnippet:DQ,dtype:"int32"}),wR={kernelName:nn,backendName:"webgl",kernelFunc:FQ};var Vh=class{constructor(e){this.variableNames=["A"];let t=wt(),[o,n]=e;this.outputShape=e,this.userCode=` +`,j9=nt({opSnippet:K9,packedOpSnippet:q9,dtype:"int32"}),qA={kernelName:Cn,backendName:"webgl",kernelFunc:j9};var tg=class{constructor(e){this.variableNames=["A"];let t=It(),[o,n]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3452,7 +3526,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam setOutput(floor(value * 255.0 + 0.5)); } - `}};var zh=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=wt(),[o,n]=e;this.outputShape=e,this.userCode=` + `}};var rg=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=It(),[o,n]=e;this.outputShape=e,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; @@ -3486,7 +3560,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${t.output} = result; } - `}};var IR={kernelName:Zi,backendName:"webgl",kernelFunc:OQ},Cc,Uw=O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function OQ(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o,a=typeof HTMLVideoElement!="undefined"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&n instanceof HTMLImageElement,[p,u]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],c=[u,p],l=[u,p,s];if(i||a){let h=O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Cc==null||h!==Uw)&&(Uw=h,Cc=document.createElement("canvas").getContext("2d",{willReadFrequently:Uw})),Cc.canvas.width=p,Cc.canvas.height=u,Cc.drawImage(n,0,0,p,u),n=Cc.canvas}let m=t.makeTensorInfo(c,"int32");t.texData.get(m.dataId).usage=ur.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(m.dataId),n);let d=O().getBool("WEBGL_PACK")?new zh(l):new Vh(l),f=t.runWebGLProgram(d,[m],"int32");return t.disposeData(m.dataId),f}function PQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h),x,b=[],C=a!=null,w=i!=null,k=d==="leakyrelu",_=()=>{let A=[n,s],R=(D,P)=>{if(P==="NCHW"&&D.shape.length===1&&D.shape[0]!==1){let M=re({inputs:{x:D},backend:t,attrs:{shape:[D.shape[0],1,1]}});return b.push(M),M}return D};if(C&&A.push(R(a,c)),w&&A.push(R(i,c)),k){let D=t.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));A.push(D),b.push(D)}return A};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=Ih({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else if(g.strideWidth<=2&&h==="channelsLast"&&O().getBool("WEBGL_EXP_CONV")){let A=d?Ha(d,!0):null,R=new xc(g,C,A,w,k),D=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],P=_();x=t.runWebGLProgram(R,P,"float32",D)}else if(O().getBool("WEBGL_CONV_IM2COL"))x=vh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else{let A=d?Ha(d,!1):null,R=new gc(g,C,A,w,k),D=_();x=t.runWebGLProgram(R,D,"float32")}let E=re({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(A=>t.disposeIntermediateTensorInfo(A)),E}var vR={kernelName:go,backendName:"webgl",kernelFunc:PQ};function MQ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=[],h=c;h==null&&(h=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(p,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`);let g=S.computeConv2DInfo(n.shape,s.shape,p,h,u,l,!0),x=O().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?Ha(m,x):null,C=[n,s],w=a!=null,k=i!=null,_=m==="leakyrelu";if(w&&C.push(a),k&&C.push(i),_){let D=t.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));C.push(D),f.push(D)}let E;x?E=new bc(g,w,b,k,_):E=new yc(g,w,b,k,_);let A=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],R=t.runWebGLProgram(E,C,"float32",A);return f.forEach(D=>t.disposeIntermediateTensorInfo(D)),R}var kR={kernelName:xo,backendName:"webgl",kernelFunc:MQ};var Wh=class{constructor(e,t,o,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=["x","indices"],this.outputShape=o;let s=$e(o.length),a=` + `}};var jA={kernelName:$u,backendName:"webgl",kernelFunc:X9},Gc,iv=P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function X9(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o,a=typeof HTMLVideoElement!="undefined"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&n instanceof HTMLImageElement,[p,u]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],c=[u,p],l=[u,p,s];if(i||a){let h=P().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Gc==null||h!==iv)&&(iv=h,Gc=document.createElement("canvas").getContext("2d",{willReadFrequently:iv})),Gc.canvas.width=p,Gc.canvas.height=u,Gc.drawImage(n,0,0,p,u),n=Gc.canvas}let m=t.makeTensorInfo(c,"int32");t.texData.get(m.dataId).usage=mr.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(m.dataId),n);let d=P().getBool("WEBGL_PACK")?new rg(l):new tg(l),f=t.runWebGLProgram(d,[m],"int32");return t.disposeData(m.dataId),f}function Y9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=C.convertConv2DDataFormat(c),g=C.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h),x,b=[],w=a!=null,S=i!=null,k=d==="leakyrelu",_=()=>{let R=[n,s],D=(F,O)=>{if(O==="NCHW"&&F.shape.length===1&&F.shape[0]!==1){let M=te({inputs:{x:F},backend:t,attrs:{shape:[F.shape[0],1,1]}});return b.push(M),M}return F};if(w&&R.push(D(a,c)),S&&R.push(D(i,c)),k){let F=t.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));R.push(F),b.push(F)}return R};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=Mh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else if(g.strideWidth<=2&&h==="channelsLast"&&P().getBool("WEBGL_EXP_CONV")){let R=d?hi(d,!0):null,D=new Vc(g,w,R,S,k),F=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],O=_();x=t.runWebGLProgram(D,O,"float32",F)}else if(P().getBool("WEBGL_CONV_IM2COL"))x=Lh({x:n,filter:s,convInfo:g,backend:t,bias:a,activation:d,preluActivationWeights:i,leakyreluAlpha:f});else{let R=d?hi(d,!1):null,D=new zc(g,w,R,S,k),F=_();x=t.runWebGLProgram(D,F,"float32")}let E=te({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(R=>t.disposeIntermediateTensorInfo(R)),E}var XA={kernelName:Co,backendName:"webgl",kernelFunc:Y9};function Q9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=[],h=c;h==null&&(h=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(p,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${h}'`);let g=C.computeConv2DInfo(n.shape,s.shape,p,h,u,l,!0),x=P().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?hi(m,x):null,w=[n,s],S=a!=null,k=i!=null,_=m==="leakyrelu";if(S&&w.push(a),k&&w.push(i),_){let F=t.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));w.push(F),f.push(F)}let E;x?E=new Uc(g,S,b,k,_):E=new Wc(g,S,b,k,_);let R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],D=t.runWebGLProgram(E,w,"float32",R);return f.forEach(F=>t.disposeIntermediateTensorInfo(F)),D}var YA={kernelName:wo,backendName:"webgl",kernelFunc:Q9};var og=class{constructor(e,t,o,n){this.sliceDim=e,this.strides=t,this.paramsShape=n,this.variableNames=["x","indices"],this.outputShape=o;let s=Re(o.length),a=` int index;`;for(let i=0;i= 0) && (index < ${e[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${n})); } - `}};function BQ(r,e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[];for(let n=0;n=0,()=>`GatherV2: the index value ${k} is not in [0, ${C-1}]`)}}let u=S.segment_util.collectGatherOpShapeInfo(n,s,p,i),c=y.sizeFromShape(s.shape),l=[],m=re({inputs:{x:n},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),d=re({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});l.push(m),l.push(d);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([n,s])||n.dtype==="string"){let b=t.bufferSync(d),C=t.bufferSync(m),w=Y$(C,b,f);return l.forEach(k=>t.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,w.dtype,w.values)}let h=new Uh(m.shape,f),g=t.runWebGLProgram(h,[m,d],m.dtype);l.push(g);let x=re({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var TR={kernelName:Is,backendName:"webgl",kernelFunc:Gw};var VQ="return float(a > b);",zQ=` + `}};function J9(r,e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[];for(let n=0;n=0,()=>`GatherV2: the index value ${k} is not in [0, ${w-1}]`)}}let u=C.segment_util.collectGatherOpShapeInfo(n,s,p,i),c=y.sizeFromShape(s.shape),l=[],m=te({inputs:{x:n},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),d=te({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});l.push(m),l.push(d);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([n,s])||n.dtype==="string"){let b=t.bufferSync(d),w=t.bufferSync(m),S=CR(w,b,f);return l.forEach(k=>t.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,S.dtype,S.values)}let h=new ng(m.shape,f),g=t.runWebGLProgram(h,[m,d],m.dtype);l.push(g);let x=te({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var ZA={kernelName:ta,backendName:"webgl",kernelFunc:uv};var eJ="return float(a > b);",tJ=` return vec4(greaterThan(a, b)); -`,WQ=tt({opSnippet:VQ,packedOpSnippet:zQ,cpuKernelImpl:Q$,dtype:"bool"}),_R={kernelName:un,backendName:"webgl",kernelFunc:WQ};var UQ="return float(a >= b);",GQ=` +`,rJ=nt({opSnippet:eJ,packedOpSnippet:tJ,cpuKernelImpl:wR,dtype:"bool"}),JA={kernelName:In,backendName:"webgl",kernelFunc:rJ};var oJ="return float(a >= b);",nJ=` return vec4(greaterThanEqual(a, b)); -`,HQ=tt({opSnippet:UQ,packedOpSnippet:GQ,dtype:"bool",cpuKernelImpl:Z$}),$R={kernelName:pn,backendName:"webgl",kernelFunc:HQ};function KQ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Mh(o,!0,t)}var ER={kernelName:pi,backendName:"webgl",kernelFunc:KQ};var qQ="return float(!isnan(x) && !isinf(x));",jQ=he({opSnippet:qQ,dtype:"bool"}),AR={kernelName:ha,backendName:"webgl",kernelFunc:jQ};var XQ="return float(isinf(x));",YQ=he({opSnippet:XQ,dtype:"bool"}),RR={kernelName:ga,backendName:"webgl",kernelFunc:YQ};var QQ="return float(isnan(x));",ZQ=he({opSnippet:QQ,dtype:"bool"}),DR={kernelName:cn,backendName:"webgl",kernelFunc:ZQ};var JQ="return float(a < b);",e7=` +`,sJ=nt({opSnippet:oJ,packedOpSnippet:nJ,dtype:"bool",cpuKernelImpl:SR}),eF={kernelName:vn,backendName:"webgl",kernelFunc:sJ};function aJ(r){let{inputs:e,backend:t}=r,{input:o}=e;return Zh(o,!0,t)}var tF={kernelName:Oi,backendName:"webgl",kernelFunc:aJ};var iJ="return float(!isnan(x) && !isinf(x));",uJ=ge({opSnippet:iJ,dtype:"bool"}),rF={kernelName:kn,backendName:"webgl",kernelFunc:uJ};var pJ="return float(isinf(x));",cJ=ge({opSnippet:pJ,dtype:"bool"}),oF={kernelName:Nn,backendName:"webgl",kernelFunc:cJ};var lJ="return float(isnan(x));",mJ=ge({opSnippet:lJ,dtype:"bool"}),nF={kernelName:Tn,backendName:"webgl",kernelFunc:mJ};var dJ="return float(a < b);",fJ=` return vec4(lessThan(a, b)); -`,t7=tt({opSnippet:JQ,packedOpSnippet:e7,cpuKernelImpl:J$,dtype:"bool"}),FR={kernelName:mn,backendName:"webgl",kernelFunc:t7};var r7="return float(a <= b);",o7=` +`,hJ=nt({opSnippet:dJ,packedOpSnippet:fJ,cpuKernelImpl:IR,dtype:"bool"}),sF={kernelName:$n,backendName:"webgl",kernelFunc:hJ};var gJ="return float(a <= b);",xJ=` return vec4(lessThanEqual(a, b)); -`,n7=tt({opSnippet:r7,packedOpSnippet:o7,cpuKernelImpl:eE,dtype:"bool"}),OR={kernelName:dn,backendName:"webgl",kernelFunc:n7};function s7(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=tE(o,n,s);return e.makeTensorInfo([a.length],"float32",a)}var PR={kernelName:li,backendName:"webgl",kernelFunc:s7};var a7=$o+` +`,yJ=nt({opSnippet:gJ,packedOpSnippet:xJ,cpuKernelImpl:vR,dtype:"bool"}),aF={kernelName:En,backendName:"webgl",kernelFunc:yJ};function bJ(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=kR(o,n,s);return e.makeTensorInfo([a.length],"float32",a)}var iF={kernelName:Rn,backendName:"webgl",kernelFunc:bJ};var CJ=Do+` return x < 0.0 ? 0./0. : log(x); -`,i7=` +`,wJ=` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); @@ -3526,18 +3600,18 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; -`,u7=he({opSnippet:a7,packedOpSnippet:i7,cpuKernelImpl:rE}),MR={kernelName:fn,backendName:"webgl",kernelFunc:u7};var p7=$o+` +`,SJ=ge({opSnippet:CJ,packedOpSnippet:wJ,cpuKernelImpl:NR}),uF={kernelName:Dn,backendName:"webgl",kernelFunc:SJ};var IJ=Do+` return log(1.0 + x); -`,c7=he({opSnippet:p7}),LR={kernelName:xa,backendName:"webgl",kernelFunc:c7};var l7="return float(a >= 1.0 && b >= 1.0);",m7=` +`,vJ=ge({opSnippet:IJ}),pF={kernelName:An,backendName:"webgl",kernelFunc:vJ};var kJ="return float(a >= 1.0 && b >= 1.0);",NJ=` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); -`,d7=tt({opSnippet:l7,packedOpSnippet:m7,dtype:"bool"}),BR={kernelName:hn,backendName:"webgl",kernelFunc:d7};var f7="return float(!(x >= 1.0));",h7=he({opSnippet:f7}),VR={kernelName:gn,backendName:"webgl",kernelFunc:h7};var g7="return float(a >= 1.0 || b >= 1.0);",x7=` +`,TJ=nt({opSnippet:kJ,packedOpSnippet:NJ,dtype:"bool"}),cF={kernelName:Fn,backendName:"webgl",kernelFunc:TJ};var _J="return float(!(x >= 1.0));",$J=ge({opSnippet:_J}),lF={kernelName:Pn,backendName:"webgl",kernelFunc:$J};var EJ="return float(a >= 1.0 || b >= 1.0);",RJ=` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); -`,y7=tt({opSnippet:g7,packedOpSnippet:x7,dtype:"bool"}),zR={kernelName:xn,backendName:"webgl",kernelFunc:y7};var Gh=class{constructor(e,t,o,n,s){this.variableNames=["x"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=` +`,DJ=nt({opSnippet:EJ,packedOpSnippet:RJ,dtype:"bool"}),mF={kernelName:On,backendName:"webgl",kernelFunc:DJ};var sg=class{constructor(e,t,o,n,s){this.variableNames=["x"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3556,7 +3630,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam float val = x * ${p}; setOutput(val); } - `}};var Hh=class{constructor(e,t,o,n,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=` + `}};var ag=class{constructor(e,t,o,n,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let p,u=`float(${o}) + float(${n}) * sum`;s===.5?p=`inversesqrt(${u})`:s===1?p=`1.0/(${u})`:p=`exp(log(${u}) * float(-${s}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; @@ -3618,7 +3692,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam vec4 result = xAtOutputCoords * ${p}; setOutput(result); } - `}};var b7=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u=O().getBool("WEBGL_PACK_NORMALIZATION")?new Hh(n.shape,s,a,i,p):new Gh(n.shape,s,a,i,p);return t.runWebGLProgram(u,[n],n.dtype)},WR={kernelName:mi,backendName:"webgl",kernelFunc:b7};var Kh=class{constructor(e,t,o,n,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=o,this.alpha=n,this.beta=s,this.userCode=` + `}};var AJ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u=P().getBool("WEBGL_PACK_NORMALIZATION")?new ag(n.shape,s,a,i,p):new sg(n.shape,s,a,i,p);return t.runWebGLProgram(u,[n],n.dtype)},dF={kernelName:Mn,backendName:"webgl",kernelFunc:AJ};var ig=class{constructor(e,t,o,n,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=o,this.alpha=n,this.beta=s,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -3673,16 +3747,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(result); } - `}};var C7=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new Kh(n.shape,i,p,u,c);return t.runWebGLProgram(l,[n,s,a],n.dtype)},UR={kernelName:Tm,backendName:"webgl",kernelFunc:C7};function GR(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=re({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=Ur(i,r.dtype,"max",o),u=re({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}function Hw(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=S.getAxesPermutation(u,i),l=c!=null,m=t.shouldExecuteOnCPU([n]),d=n;if(l){if(m){let C=t.texData.get(d.dataId).values,w=new Array(i);for(let E=0;E{let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new ig(n.shape,i,p,u,c);return t.runWebGLProgram(l,[n,s,a],n.dtype)},fF={kernelName:Ua,backendName:"webgl",kernelFunc:FJ};function hF(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=te({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=qr(i,r.dtype,"max",o),u=te({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}function pv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o,i=n.shape.length,p=y.parseAxisParam(s,n.shape),u=p,c=C.getAxesPermutation(u,i),l=c!=null,m=t.shouldExecuteOnCPU([n]),d=n;if(l){if(m){let w=t.texData.get(d.dataId).values,S=new Array(i);for(let E=0;E`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=S.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return At({inputs:{x:n},backend:t});let l=new cs(c,"max",!1);return t.runWebGLProgram(l,[n],n.dtype)}var qR={kernelName:Cn,backendName:"webgl",kernelFunc:v7};function k7(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=S.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new Wi(l,"max",!1);return t.runWebGLProgram(m,[n],n.dtype)}var jR={kernelName:Cp,backendName:"webgl",kernelFunc:k7};var qh=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,o=e.strideWidth,n=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,p=a-1-e.padInfo.left,u=s*a-1;this.userCode=` +`,MJ=nt({opSnippet:PJ,packedOpSnippet:OJ,cpuKernelImpl:_R}),xF={kernelName:Bn,backendName:"webgl",kernelFunc:MJ};function LJ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;Ps(n,"maxPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1;y.assert(C.eitherStridesOrDilationsAreOne(a,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=C.computePool2DInfo(n.shape,s,a,u,i,p);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Dt({inputs:{x:n},backend:t});let l=new Ms(c,"max",!1);return t.runWebGLProgram(l,[n],n.dtype)}var yF={kernelName:zn,backendName:"webgl",kernelFunc:LJ};function BJ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new xu(l,"max",!1);return t.runWebGLProgram(m,[n],n.dtype)}var bF={kernelName:ra,backendName:"webgl",kernelFunc:BJ};var ug=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,o=e.strideWidth,n=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,p=a-1-e.padInfo.left,u=s*a-1;this.userCode=` const ivec2 pads = ivec2(${i}, ${p}); void main() { @@ -3728,7 +3802,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}},jh=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=p-1-e.padInfo.front,m=u-1-e.padInfo.top,d=c-1-e.padInfo.left,f=p*u*c-1;this.userCode=` + `}},pg=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,o=e.strideHeight,n=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,p=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=p-1-e.padInfo.front,m=u-1-e.padInfo.top,d=c-1-e.padInfo.left,f=p*u*c-1;this.userCode=` const ivec3 pads = ivec3(${l}, ${m}, ${d}); void main() { @@ -3792,16 +3866,16 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam } setOutput(dotProd); } - `}};function N7(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=S.computePool3DInfo(a.shape,i,p,l,u,c),d=new Wi(m,"max",!0),f=t.runWebGLProgram(d,[a],a.dtype),h=new jh(m),g=t.runWebGLProgram(h,[n,f],a.dtype);return t.disposeIntermediateTensorInfo(f),g}var XR={kernelName:$m,backendName:"webgl",kernelFunc:N7};function T7(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;us([s,a],"maxPoolGrad");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=S.computePool2DInfo(i.shape,p,u,1,c,l),d=!0,f=new cs(m,"max",d),h=t.runWebGLProgram(f,[i],i.dtype),g=new qh(m),x=t.runWebGLProgram(g,[n,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var YR={kernelName:_m,backendName:"webgl",kernelFunc:T7};function QR(r,e,t,o){let n=new cs(t,"max",!1),s=o.runWebGLProgram(n,[r],"float32");n=new cs(t,"max",!0,!0,e);let a=o.runWebGLProgram(n,[r],"float32");return[s,a]}var ZR={kernelName:Sp,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;y.assert(o.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.shape.length}.`);let u=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=S.computePool2DInfo(o.shape,n,s,u,a),[l,m]=QR(o,i,c,p);return[l,m]}};function JR(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=re({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=Ur(i,"float32","mean",o),u=re({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}var eD={kernelName:Sn,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{keepDims:n,axis:s}=e,a=t,i=o.shape.length,p=y.parseAxisParam(s,o.shape),u=p,c=S.getAxesPermutation(u,i),l=c!=null,m=a.shouldExecuteOnCPU([o]),d=[],f=o;if(l){if(m){let w=a.texData.get(f.dataId).values,k=new Array(i);for(let A=0;A{let{x:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=e,p=t;y.assert(o.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.shape.length}.`);let u=[1,1];y.assert(C.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=C.computePool2DInfo(o.shape,n,s,u,a),[l,m]=SF(o,i,c,p);return[l,m]}};function vF(r,e,t,o){let n=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/n,i=te({inputs:{x:r},attrs:{shape:[a,n]},backend:o}),p=qr(i,"float32","mean",o),u=te({inputs:{x:p},attrs:{shape:t},backend:o});return o.disposeIntermediateTensorInfo(i),o.disposeIntermediateTensorInfo(p),u}var kF={kernelName:Vn,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{keepDims:n,axis:s}=e,a=t,i=o.shape.length,p=y.parseAxisParam(s,o.shape),u=p,c=C.getAxesPermutation(u,i),l=c!=null,m=a.shouldExecuteOnCPU([o]),d=[],f=o;if(l){if(m){let S=a.texData.get(f.dataId).values,k=new Array(i);for(let R=0;Rc[0]+e[l]+c[1]);let n=e.length,s=$e(n),a=t.map(c=>c[0]).join(","),i=t.map((c,l)=>c[0]+e[l]).join(","),p=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n),u=o==="reflect"?0:1;if(n===1){this.userCode=` +`,HJ=nt({opSnippet:UJ,packedOpSnippet:GJ,cpuKernelImpl:$R}),TF={kernelName:Un,backendName:"webgl",kernelFunc:HJ};var cg=class{constructor(e,t,o){this.variableNames=["x"],this.outputShape=t.map((c,l)=>c[0]+e[l]+c[1]);let n=e.length,s=Re(n),a=t.map(c=>c[0]).join(","),i=t.map((c,l)=>c[0]+e[l]).join(","),p=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n),u=o==="reflect"?0:1;if(n===1){this.userCode=` int start = ${a}; int end = ${i}; @@ -3830,7 +3904,7 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${s} coords = outC - start; setOutput(getX(${p})); } - `}};var Yh=class{constructor(e,t,o){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,h)=>f[0]+e[h]+f[1]);let n=e.length,s=$e(n),a=t.map(f=>f[0]).join(","),i=t.map((f,h)=>f[0]+e[h]).join(","),p=Et("rc",n),u=Et("source",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?"source":`vec2(${u.slice(-2).join()})`,m=o==="reflect"?0:1,d="";if(n===1){let f=` + `}};var lg=class{constructor(e,t,o){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,h)=>f[0]+e[h]+f[1]);let n=e.length,s=Re(n),a=t.map(f=>f[0]).join(","),i=t.map((f,h)=>f[0]+e[h]).join(","),p=Rt("rc",n),u=Rt("source",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?"source":`vec2(${u.slice(-2).join()})`,m=o==="reflect"?0:1,d="";if(n===1){let f=` ${s} source = rc; if (source < start) { source = start * 2 - source - ${m}; @@ -3886,13 +3960,13 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam ${d} setOutput(result); } - `}};var R7=({inputs:r,backend:e,attrs:t})=>{let{x:o}=r,{paddings:n,mode:s}=t,a=O().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Yh(o.shape,n,s):new Xh(o.shape,n,s);return e.runWebGLProgram(a,[o],o.dtype)},oD={kernelName:vn,backendName:"webgl",kernelFunc:R7};var D7=`if (b == 0.0) return NAN; - return mod(a, b);`,F7=` + `}};var KJ=({inputs:r,backend:e,attrs:t})=>{let{x:o}=r,{paddings:n,mode:s}=t,a=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lg(o.shape,n,s):new cg(o.shape,n,s);return e.runWebGLProgram(a,[o],o.dtype)},_F={kernelName:Gn,backendName:"webgl",kernelFunc:KJ};var qJ=`if (b == 0.0) return NAN; + return mod(a, b);`,jJ=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); - `+Js+` + `+Kr+` return result; -`,O7=tt({opSnippet:D7,packedOpSnippet:F7}),nD={kernelName:ya,backendName:"webgl",kernelFunc:O7};var Qh=class{constructor(e,t,o){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,o],this.userCode=` +`,XJ=nt({opSnippet:qJ,packedOpSnippet:jJ}),$F={kernelName:Ga,backendName:"webgl",kernelFunc:XJ};var mg=class{constructor(e,t,o){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,o],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -3912,11 +3986,11 @@ return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,AY=he({opSnippet:EY}),CA={kernelNam // If no other event happened, last event happened. setOutput(float(${t-1})); } - `}};var P7=` + `}};var YJ=` if (a == b) { return 1.0; }; -return a / b;`,M7=` +return a / b;`,QJ=` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; @@ -3934,9 +4008,9 @@ return a / b;`,M7=` } return result; -`,Kw=tt({opSnippet:P7,packedOpSnippet:M7,checkOutOfBounds:!0}),sD={kernelName:Zo,backendName:"webgl",kernelFunc:Kw};var aD="return a - b;",qw=tt({opSnippet:aD,packedOpSnippet:aD,supportsComplex:!0,cpuKernelImpl:kE}),iD={kernelName:Yn,backendName:"webgl",kernelFunc:qw};function jw(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=y.parseAxisParam([s],n.shape),i=Hw({inputs:{x:n},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),p=S.expandShapeToKeepDim(i.shape,a),u=re({inputs:{x:i},backend:t,attrs:{shape:p}}),c=qw({inputs:{a:n,b:u},backend:t}),l=Ww({inputs:{x:c},backend:t}),m=Vu({inputs:{x:l},backend:t,attrs:{axis:a,keepDims:!1}}),d=re({inputs:{x:m},backend:t,attrs:{shape:p}}),f=Kw({inputs:{a:l,b:d},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),f}var uD={kernelName:qn,backendName:"webgl",kernelFunc:jw};function L7(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:jw({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new Qh(u,c,s),m=[[a]],d=t.runWebGLProgram(l,[p],"int32",m);return i||t.disposeIntermediateTensorInfo(p),d}var pD={kernelName:wp,backendName:"webgl",kernelFunc:L7};var B7=zt+` +`,cv=nt({opSnippet:YJ,packedOpSnippet:QJ,checkOutOfBounds:!0}),EF={kernelName:dn,backendName:"webgl",kernelFunc:cv};var RF="return a - b;",lv=nt({opSnippet:RF,packedOpSnippet:RF,supportsComplex:!0,cpuKernelImpl:YR}),DF={kernelName:Is,backendName:"webgl",kernelFunc:lv};function mv(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=y.parseAxisParam([s],n.shape),i=pv({inputs:{x:n},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),p=C.expandShapeToKeepDim(i.shape,a),u=te({inputs:{x:i},backend:t,attrs:{shape:p}}),c=lv({inputs:{a:n,b:u},backend:t}),l=av({inputs:{x:c},backend:t}),m=bp({inputs:{x:l},backend:t,attrs:{axis:a,keepDims:!1}}),d=te({inputs:{x:m},backend:t,attrs:{shape:p}}),f=cv({inputs:{a:l,b:d},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(l),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),f}var AF={kernelName:bs,backendName:"webgl",kernelFunc:mv};function ZJ(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:mv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new mg(u,c,s),m=[[a]],d=t.runWebGLProgram(l,[p],"int32",m);return i||t.disposeIntermediateTensorInfo(p),d}var FF={kernelName:Hn,backendName:"webgl",kernelFunc:ZJ};var JJ=Ut+` return -x; -`,V7=` +`,eee=` vec4 result = -x; bvec4 isNaN = isnan(x); @@ -3946,14 +4020,14 @@ return a / b;`,M7=` result.a = isNaN.a ? x.a : result.a; return result; -`;function z7(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.texData.get(o.dataId),[a,i]=iE(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n;return O().getBool("WEBGL_PACK_UNARY_OPERATIONS")?n=new Er(o.shape,V7):n=new Jt(o.shape,B7),t.runWebGLProgram(n,[o],o.dtype)}var cD={kernelName:vs,backendName:"webgl",kernelFunc:z7};var W7=Vt.nonMaxSuppressionV3Impl;function U7(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=W7(u,c,a,i,p);return t.makeTensorInfo([l.length],"int32",new Int32Array(l))}var lD={kernelName:Tn,backendName:"webgl",kernelFunc:U7};var G7=Vt.nonMaxSuppressionV4Impl;function H7(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,padToMaxOutputSize:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),{selectedIndices:m,validOutputs:d}=G7(c,l,a,i,p,u);return[t.makeTensorInfo([m.length],"int32",new Int32Array(m)),t.makeTensorInfo([],"int32",new Int32Array([d]))]}var mD={kernelName:ba,backendName:"webgl",kernelFunc:H7};var K7=Vt.nonMaxSuppressionV5Impl;function q7(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=K7(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var dD={kernelName:_n,backendName:"webgl",kernelFunc:q7};var Zh=class{constructor(e,t,o,n){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` +`;function tee(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.texData.get(o.dataId),[a,i]=RR(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n;return P().getBool("WEBGL_PACK_UNARY_OPERATIONS")?n=new Ar(o.shape,eee):n=new tr(o.shape,JJ),t.runWebGLProgram(n,[o],o.dtype)}var PF={kernelName:oa,backendName:"webgl",kernelFunc:tee};var ree=Wt.nonMaxSuppressionV3Impl;function oee(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=ree(u,c,a,i,p);return t.makeTensorInfo([l.length],"int32",new Int32Array(l))}var OF={kernelName:jn,backendName:"webgl",kernelFunc:oee};var nee=Wt.nonMaxSuppressionV4Impl;function see(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,padToMaxOutputSize:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),{selectedIndices:m,validOutputs:d}=nee(c,l,a,i,p,u);return[t.makeTensorInfo([m.length],"int32",new Int32Array(m)),t.makeTensorInfo([],"int32",new Int32Array([d]))]}var MF={kernelName:Ha,backendName:"webgl",kernelFunc:see};var aee=Wt.nonMaxSuppressionV5Impl;function iee(r){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=aee(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var LF={kernelName:Xn,backendName:"webgl",kernelFunc:iee};var dg=class{constructor(e,t,o,n){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${n}), float(${o}), float(index == coords.y))); } - `}};var j7=r=>{let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new Zh(u,a,i,p),l=re({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=t.runWebGLProgram(c,[l],s);t.disposeIntermediateTensorInfo(l);let d=[...n.shape,a],f=re({inputs:{x:m},backend:t,attrs:{shape:d}});return t.disposeIntermediateTensorInfo(m),f},fD={kernelName:$n,backendName:"webgl",kernelFunc:j7};function Fl(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="complex64"){let n=Ka({inputs:{input:o},backend:t}),s=Fl({inputs:{x:n},backend:t}),a=Wu({inputs:{input:o},backend:t}),i=Fl({inputs:{x:a},backend:t}),p=Ar({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return qa({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype==="string"?"":0},backend:t})}var hD={kernelName:Os,backendName:"webgl",kernelFunc:Fl};function gD(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(o.dtype==="complex64"){let n=Ka({inputs:{input:o},backend:t}),s=gD({inputs:{x:n},backend:t}),a=Wu({inputs:{input:o},backend:t}),i=Fl({inputs:{x:a},backend:t}),p=Ar({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return qa({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var xD={kernelName:ks,backendName:"webgl",kernelFunc:gD};function X7(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Ph({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=Ph({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=zw({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var yD={kernelName:Ns,backendName:"webgl",kernelFunc:X7};var Jh=class{constructor(e,t,o){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let n=e.length,s=$e(n),a=t.map(u=>u[0]).join(","),i=t.map((u,c)=>u[0]+e[c]).join(","),p=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n);if(n===1){this.userCode=` + `}};var uee=r=>{let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new dg(u,a,i,p),l=te({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=t.runWebGLProgram(c,[l],s);t.disposeIntermediateTensorInfo(l);let d=[...n.shape,a],f=te({inputs:{x:m},backend:t,attrs:{shape:d}});return t.disposeIntermediateTensorInfo(m),f},BF={kernelName:Yn,backendName:"webgl",kernelFunc:uee};function rm(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="complex64"){let n=gi({inputs:{input:o},backend:t}),s=rm({inputs:{x:n},backend:t}),a=wp({inputs:{input:o},backend:t}),i=rm({inputs:{x:a},backend:t}),p=Fr({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return xi({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype==="string"?"":0},backend:t})}var zF={kernelName:fa,backendName:"webgl",kernelFunc:rm};function VF(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(o.dtype==="complex64"){let n=gi({inputs:{input:o},backend:t}),s=VF({inputs:{x:n},backend:t}),a=wp({inputs:{input:o},backend:t}),i=rm({inputs:{x:a},backend:t}),p=Fr({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(n),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),p}else return xi({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var WF={kernelName:na,backendName:"webgl",kernelFunc:VF};function pee(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Qh({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=Qh({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=sv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var UF={kernelName:sa,backendName:"webgl",kernelFunc:pee};var fg=class{constructor(e,t,o){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let n=e.length,s=Re(n),a=t.map(u=>u[0]).join(","),i=t.map((u,c)=>u[0]+e[c]).join(","),p=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,n);if(n===1){this.userCode=` int start = ${a}; int end = ${i}; @@ -3978,7 +4052,7 @@ return a / b;`,M7=` setOutput(getX(${p})); } } - `}};var eg=class{constructor(e,t,o){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let n=e.length,s=$e(n),a=t.map(h=>h[0]).join(","),i=t.map((h,g)=>h[0]+e[g]).join(","),p=Et("rc",n),u=Et("source",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?"source":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${p[n-1]} += 1; + `}};var hg=class{constructor(e,t,o){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let n=e.length,s=Re(n),a=t.map(h=>h[0]).join(","),i=t.map((h,g)=>h[0]+e[g]).join(","),p=Rt("rc",n),u=Rt("source",n),c=`${p[n-1]} < ${this.outputShape[n-1]}`,l=n===1?"source":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${p[n-1]} += 1; if(${c}) { `,n===1?"":`} rc = outputLoc; @@ -4002,7 +4076,7 @@ return a / b;`,M7=` ${f} setOutput(result); } - `}};var Xw=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return qa({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=O().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new eg(n.shape,s,a):new Jh(n.shape,s,a),p=[[a]];return t.runWebGLProgram(i,[n],n.dtype,p)},bD={kernelName:En,backendName:"webgl",kernelFunc:Xw};var Y7=` + `}};var dv=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return xi({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hg(n.shape,s,a):new fg(n.shape,s,a),p=[[a]];return t.runWebGLProgram(i,[n],n.dtype,p)},GF={kernelName:Qn,backendName:"webgl",kernelFunc:dv};var cee=` if(a < 0.0 && floor(b) < b){ return NAN; } @@ -4011,7 +4085,7 @@ return a / b;`,M7=` } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); -`,Q7=` +`,lee=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -4027,11 +4101,11 @@ return a / b;`,M7=` bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); - `+Js+` + `+Kr+` return result; -`,Z7=tt({opSnippet:Y7,packedOpSnippet:Q7}),CD={kernelName:An,backendName:"webgl",kernelFunc:Z7};function J7(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=[],u=y.parseAxisParam(s,n.shape),c=u,l=S.getAxesPermutation(c,i),m=n;l!=null&&(m=yt({inputs:{x:n},backend:t,attrs:{perm:l}}),c=S.getInnerMostAxes(c.length,i),p.push(m)),S.assertAxesAreInnerMostDims("prod",c,i);let d;if(t.shouldExecuteOnCPU([m])){let f=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=pE(m.shape,m.dtype,f,c);d=t.makeTensorInfo(g,x,h)}else{let[f,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=re({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=Ta(n.dtype),C=Ur(x,b,"prod",t);d=re({inputs:{x:C},backend:t,attrs:{shape:f}}),p.push(x),p.push(C)}if(a){p.push(d);let f=S.expandShapeToKeepDim(d.shape,u);d=re({inputs:{x:d},backend:t,attrs:{shape:f}})}return p.forEach(f=>t.disposeIntermediateTensorInfo(f)),d}var SD={kernelName:Dn,backendName:"webgl",kernelFunc:J7};function eZ(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.readSync(x.dataId)),u=n.map(x=>x.shape),c=t.readSync(s.dataId),l=t.readSync(a.dataId),[m,d,f]=cE(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],"int32",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var wD={kernelName:Ip,backendName:"webgl",kernelFunc:eZ};function tZ(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=lE(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],"int32",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var ID={kernelName:vp,backendName:"webgl",kernelFunc:tZ};function rZ(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),l=t.readSync(a.dataId),m=i.map(g=>t.readSync(g.dataId)),d=i.map(g=>g.shape),[f,h]=mE(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var vD={kernelName:kp,backendName:"webgl",kernelFunc:rZ};var Yw=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=dE(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},kD={kernelName:Ts,backendName:"webgl",kernelFunc:Yw};var oZ="return 1.0 / x;",nZ=he({opSnippet:oZ}),ND={kernelName:Fn,backendName:"webgl",kernelFunc:nZ};var sZ=zt+` +`,mee=nt({opSnippet:cee,packedOpSnippet:lee}),HF={kernelName:Zn,backendName:"webgl",kernelFunc:mee};function dee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o,i=n.shape.length,p=[],u=y.parseAxisParam(s,n.shape),c=u,l=C.getAxesPermutation(c,i),m=n;l!=null&&(m=bt({inputs:{x:n},backend:t,attrs:{perm:l}}),c=C.getInnerMostAxes(c.length,i),p.push(m)),C.assertAxesAreInnerMostDims("prod",c,i);let d;if(t.shouldExecuteOnCPU([m])){let f=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=AR(m.shape,m.dtype,f,c);d=t.makeTensorInfo(g,x,h)}else{let[f,h]=C.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=te({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=Za(n.dtype),w=qr(x,b,"prod",t);d=te({inputs:{x:w},backend:t,attrs:{shape:f}}),p.push(x),p.push(w)}if(a){p.push(d);let f=C.expandShapeToKeepDim(d.shape,u);d=te({inputs:{x:d},backend:t,attrs:{shape:f}})}return p.forEach(f=>t.disposeIntermediateTensorInfo(f)),d}var KF={kernelName:es,backendName:"webgl",kernelFunc:dee};function fee(r){let{inputs:e,backend:t,attrs:o}=r,{paramsNestedSplits:n,paramsDenseValues:s,indices:a}=e,{outputRaggedRank:i}=o,p=n.map(x=>t.readSync(x.dataId)),u=n.map(x=>x.shape),c=t.readSync(s.dataId),l=t.readSync(a.dataId),[m,d,f]=FR(p,u,c,s.shape,s.dtype,l,a.shape,i),h=m.map(x=>t.makeTensorInfo([x.length],"int32",x)),g=t.makeTensorInfo(f,s.dtype,d);return h.concat([g])}var qF={kernelName:Kp,backendName:"webgl",kernelFunc:fee};function hee(r){let{inputs:e,backend:t}=r,{starts:o,limits:n,deltas:s}=e,a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=PR(a,o.shape,o.dtype,i,n.shape,p,s.shape),l=t.makeTensorInfo([u.length],"int32",u),m=t.makeTensorInfo([c.length],o.dtype,c);return[l,m]}var jF={kernelName:qp,backendName:"webgl",kernelFunc:hee};function gee(r){let{inputs:e,backend:t,attrs:o}=r,{shape:n,values:s,defaultValue:a,rowPartitionTensors:i}=e,{rowPartitionTypes:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),l=t.readSync(a.dataId),m=i.map(g=>t.readSync(g.dataId)),d=i.map(g=>g.shape),[f,h]=OR(u,n.shape,c,s.shape,s.dtype,l,a.shape,m,d,p);return t.makeTensorInfo(f,s.dtype,h)}var XF={kernelName:jp,backendName:"webgl",kernelFunc:gee};var fv=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=MR(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},YF={kernelName:aa,backendName:"webgl",kernelFunc:fv};var xee="return 1.0 / x;",yee=ge({opSnippet:xee}),QF={kernelName:ts,backendName:"webgl",kernelFunc:yee};var bee=Ut+` return (x < 0.0) ? 0.0 : x; -`,aZ=` +`,Cee=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4041,9 +4115,9 @@ return a / b;`,M7=` result.a = isNaN.a ? x.a : result.a; return result; -`,iZ=he({opSnippet:sZ,packedOpSnippet:aZ}),TD={kernelName:On,backendName:"webgl",kernelFunc:iZ};var uZ=zt+` +`,wee=ge({opSnippet:bee,packedOpSnippet:Cee}),ZF={kernelName:rs,backendName:"webgl",kernelFunc:wee};var See=Ut+` return (x < 0.0) ? 0.0 : min(6.0, x); -`,pZ=` +`,Iee=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); @@ -4053,7 +4127,7 @@ return a / b;`,M7=` result.a = isNaN.a ? x.a : result.a; return result; -`,cZ=he({opSnippet:uZ,packedOpSnippet:pZ}),_D={kernelName:Ln,backendName:"webgl",kernelFunc:cZ};var tg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` +`,vee=ge({opSnippet:See,packedOpSnippet:Iee}),JF={kernelName:ss,backendName:"webgl",kernelFunc:vee};var gg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${c[0]/l[0]}, ${c[1]/l[1]}); @@ -4086,7 +4160,7 @@ return a / b;`,M7=` setOutput(newValue); } - `}};var rg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};var xg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${c[0]/l[0]}, ${c[1]/l[1]}, @@ -4163,7 +4237,7 @@ return a / b;`,M7=` setOutput(newValue); } - `}};function lZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=O().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new rg(n.shape,p,u,s,a):new tg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],"float32")}var $D={kernelName:Mn,backendName:"webgl",kernelFunc:lZ};var og=class{constructor(e,t,o){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=` + `}};function kee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=P().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new xg(n.shape,p,u,s,a):new gg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],"float32")}var e3={kernelName:ns,backendName:"webgl",kernelFunc:kee};var yg=class{constructor(e,t,o){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4244,7 +4318,7 @@ return a / b;`,M7=` setOutput(accumulator); } - `}};function mZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new og(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var ED={kernelName:Am,backendName:"webgl",kernelFunc:mZ};var ng=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?"0.5":"0.0",d;s?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};function Nee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new yg(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var t3={kernelName:qa,backendName:"webgl",kernelFunc:Nee};var bg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?"0.5":"0.0",d;s?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${c[0]/l[0]}, ${c[1]/l[1]}); @@ -4266,7 +4340,7 @@ return a / b;`,M7=` setOutput(newValue); } - `}};var sg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?"0.5":"0.0",d;s?d="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + `}};var Cg=class{constructor(e,t,o,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,p,u]=e;this.outputShape=[a,t,o,u];let c=[n&&t>1?i-1:i,n&&o>1?p-1:p],l=[n&&t>1?t-1:t,n&&o>1?o-1:o],m=n?"0.5":"0.0",d;s?d="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${c[0]/l[0]}, ${c[1]/l[1]}, @@ -4307,7 +4381,7 @@ return a / b;`,M7=` setOutput(newValue); } - `}};function dZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=O().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new sg(n.shape,p,u,s,a):new ng(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],n.dtype)}var AD={kernelName:Pn,backendName:"webgl",kernelFunc:dZ};var ag=class{constructor(e,t,o){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=` + `}};function Tee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=P().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Cg(n.shape,p,u,s,a):new bg(n.shape,p,u,s,a);return t.runWebGLProgram(c,[n],n.dtype)}var r3={kernelName:os,backendName:"webgl",kernelFunc:Tee};var wg=class{constructor(e,t,o){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,n,s]=t,[,a,i]=e,p=[o&&a>1?n-1:n,o&&i>1?s-1:s],u=[o&&a>1?a-1:a,o&&i>1?i-1:i],c=p[0]/u[0],l=p[1]/u[1],m=1/c,d=1/l,f=Math.ceil(m)*2+2,h=Math.ceil(d)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; @@ -4377,17 +4451,17 @@ return a / b;`,M7=` setOutput(accumulator); } - `}};function fZ(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new ag(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var RD={kernelName:Em,backendName:"webgl",kernelFunc:fZ};var ig=class{constructor(e,t){this.variableNames=["x"];let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);if(this.outputShape=e,o===1){this.userCode=` + `}};function _ee(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=new wg(s.shape,n.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var o3={kernelName:Ka,backendName:"webgl",kernelFunc:_ee};var Sg=class{constructor(e,t){this.variableNames=["x"];let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);if(this.outputShape=e,o===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${e[0]} - coord - 1)); } - `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,p)=>n(p)).join(","),a=$e(o);this.userCode=` + `;return}let n=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,p)=>n(p)).join(","),a=Re(o);this.userCode=` void main() { ${a} coords = getOutputCoords(); setOutput(getX(${s})); } - `}};var ug=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);this.outputShape=e;let n=Et("rc",o),s=`${n[o-1]} + 1 < ${this.outputShape[o-1]}`,a=`${n[o-2]} + 1 < ${this.outputShape[o-2]}`,i=$e(o);o===1?this.userCode=` + `}};var Ig=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let o=e.length;if(o>4)throw new Error(`WebGL backend: Reverse of rank-${o} tensor is not yet supported`);this.outputShape=e;let n=Rt("rc",o),s=`${n[o-1]} + 1 < ${this.outputShape[o-1]}`,a=`${n[o-2]} + 1 < ${this.outputShape[o-2]}`,i=Re(o);o===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); @@ -4415,7 +4489,7 @@ return a / b;`,M7=` } setOutput(result); } - `;function p(f){return m(f)}function u(f){return f[o-1]="("+f[o-1]+" + 1)",m(f)}function c(f){return f[o-2]="("+f[o-2]+" + 1)",m(f)}function l(f){return f[o-1]="("+f[o-1]+" + 1)",f[o-2]="("+f[o-2]+" + 1)",m(f)}function m(f){let h=e.map((b,C)=>d(C,f)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function d(f,h){return t.indexOf(f)!==-1&&e[f]!==1?`${e[f]} - ${h[f]} - 1`:`${h[f]}`}}};function hZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return At({inputs:{x:n},backend:t});let p=O().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new ug(n.shape,i):new ig(n.shape,i);return t.runWebGLProgram(p,[n],n.dtype)}var DD={kernelName:Bn,backendName:"webgl",kernelFunc:hZ};var pg=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let o=e[1],n=e[2];this.outputShape=e;let s="";typeof t=="number"?s=`float outputValue = ${t.toFixed(2)};`:s=` + `;function p(f){return m(f)}function u(f){return f[o-1]="("+f[o-1]+" + 1)",m(f)}function c(f){return f[o-2]="("+f[o-2]+" + 1)",m(f)}function l(f){return f[o-1]="("+f[o-1]+" + 1)",f[o-2]="("+f[o-2]+" + 1)",m(f)}function m(f){let h=e.map((b,w)=>d(w,f)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function d(f,h){return t.indexOf(f)!==-1&&e[f]!==1?`${e[f]} - ${h[f]} - 1`:`${h[f]}`}}};function $ee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length,i=y.parseAxisParam(s,n.shape);if(a===0)return Dt({inputs:{x:n},backend:t});let p=P().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ig(n.shape,i):new Sg(n.shape,i);return t.runWebGLProgram(p,[n],n.dtype)}var n3={kernelName:as,backendName:"webgl",kernelFunc:$ee};var vg=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let o=e[1],n=e[2];this.outputShape=e;let s="";typeof t=="number"?s=`float outputValue = ${t.toFixed(2)};`:s=` vec3 fill = vec3(${t.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { @@ -4434,7 +4508,7 @@ return a / b;`,M7=` } setOutput(outputValue); } - `}};var FD={kernelName:ts,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new pg(o.shape,s),[u,c]=S.getImageCenter(a,o.shape[1],o.shape[2]),l=[[u,c,Math.sin(n),Math.cos(n)]];return i.runWebGLProgram(p,[o],o.dtype,l)}};var gZ=` + `}};var s3={kernelName:_s,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new vg(o.shape,s),[u,c]=C.getImageCenter(a,o.shape[1],o.shape[2]),l=[[u,c,Math.sin(n),Math.cos(n)]];return i.runWebGLProgram(p,[o],o.dtype,l)}};var Eee=` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); @@ -4449,27 +4523,64 @@ return a / b;`,M7=` return base + 1.0; } } -`,xZ=he({opSnippet:gZ}),OD={kernelName:Vn,backendName:"webgl",kernelFunc:xZ};var yZ="return inversesqrt(x);",bZ=he({opSnippet:yZ,cpuKernelImpl:fE}),PD={kernelName:zn,backendName:"webgl",kernelFunc:bZ};var Sc=class{constructor(e,t,o,n,s,a,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let p=$e(s.length),u=$e(a.length),c="";o===1?c="i":o===2&&(c="i, j");let l=`getIndices(${c})`,m="";n===1?m="i":n===2&&(m="i, coords[1]");let d=`getUpdates(${m})`,f=t>1?"strides[j]":"strides";this.userCode=` - ${p} strides = ${p}(${s}); +`,Ree=ge({opSnippet:Eee}),a3={kernelName:is,backendName:"webgl",kernelFunc:Ree};var Dee="return inversesqrt(x);",Aee=ge({opSnippet:Dee,cpuKernelImpl:LR}),i3={kernelName:us,backendName:"webgl",kernelFunc:Aee};var yu=class{constructor(e,t,o,n,s,a,i=!0,p=!1){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let u=Re(s.length),c=Re(a.length),l="";o===1?l="i":o===2&&(l="i, j");let m=`getIndices(${l})`,d="";n===1?d="i":n===2&&(d="i, coords[1]");let f=`getUpdates(${d})`,h="";p&&(h="coords[0], coords[1]");let g=`getDefaultValue(${h})`,x=t>1?"strides[j]":"strides";this.userCode=` + ${u} strides = ${u}(${s}); void main() { - ${u} coords = getOutputCoords(); + ${c} coords = getOutputCoords(); float sum = 0.0; bool found = false; for (int i = 0; i < ${e}; i++) { int flattenedIndex = 0; for (int j = 0; j < ${t}; j++) { - int index = round(${l}); - flattenedIndex += index * ${f}; + int index = round(${m}); + flattenedIndex += index * ${x}; } if (flattenedIndex == coords[0]) { - sum += ${d}; + sum += ${f}; found = true; } } - setOutput(mix(getDefaultValue(), sum, float(found))); + setOutput(mix(${g}, sum, float(found))); } - `}};function CZ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=re({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=re({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=t.makeTensorInfo([],"float32",new Float32Array([0])),g=new Sc(p,i,d.shape.length,f.shape.length,c,m),x=t.runWebGLProgram(g,[f,d,h],f.dtype),b=re({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var MD={kernelName:Wn,backendName:"webgl",kernelFunc:CZ};var cg=class{constructor(e,t,o,n){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,o];let s="while (left < right) {",a=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=O().getNumber("WEBGL_VERSION")===2?s:a,p=n==="left"?"<":"<=";this.userCode=` + `}};var kg=class{constructor(e,t,o,n,s,a,i=!0,p=!1){this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=a;let u=Re(s.length),c=Re(a.length),l="";o===1?l="i":o===2&&(l="i, j");let m=`getIndices(${l})`,d="";n===1?d="i":n===2&&(d="i, coords[1]");let f=`getUpdates(${d})`,h="";p&&(h="coords[0], coords[1]");let g=`getDefaultValue(${h})`,x=t>1?"strides[j]":"strides",b=t>1?"strides[j + 1]":"strides";this.userCode=` + ${u} strides = ${u}(${s}); + + void main() { + ${c} coords = getOutputCoords(); + vec4 sum = vec4(0.); + vec4 found = vec4(0.); + for (int i = 0; i < ${e}; i+=2) { + ivec2 flattenedIndex = ivec2(0); + for (int j = 0; j < ${t}; j+=2) { + ivec4 index = round(${m}); + flattenedIndex += index.xz * ${x}; + if (j + 1 < ${t}) { + flattenedIndex += index.yw * ${b}; + } + } + if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] || + flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) { + vec4 updVals = ${f}; + if (flattenedIndex[0] == coords[0]) { + sum.xy += updVals.xy; + found.xy = vec2(1.); + } else if (flattenedIndex[0] == coords[0] + 1) { + sum.zw += updVals.xy; + found.zw = vec2(1.); + } + if (flattenedIndex[1] == coords[0]) { + sum.xy += updVals.zw; + found.xy = vec2(1.); + } else if (flattenedIndex[1] == coords[0] + 1) { + sum.zw += updVals.zw; + found.zw = vec2(1.); + } + } + } + setOutput(mix(${g}, sum, found)); + } + `}};function Fee(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=te({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=te({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=t.makeTensorInfo([],"float32",new Float32Array([0])),g;P().getBool("WEBGL_PACK")?g=new kg(p,i,d.shape.length,f.shape.length,c,m):g=new yu(p,i,d.shape.length,f.shape.length,c,m);let x=t.runWebGLProgram(g,[f,d,h],f.dtype),b=te({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var u3={kernelName:ps,backendName:"webgl",kernelFunc:Fee};var Ng=class{constructor(e,t,o,n){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,o];let s="while (left < right) {",a=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=P().getNumber("WEBGL_VERSION")===2?s:a,p=n==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; @@ -4494,7 +4605,7 @@ return a / b;`,M7=` setOutput(float(findBound(batch, value))); } - `}};function SZ(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new cg(n.shape[0],n.shape[1],s.shape[1],a),p=[[n.shape[1]]];return t.runWebGLProgram(i,[n,s],"int32",p)}var LD={kernelName:fi,backendName:"webgl",kernelFunc:SZ};var lg=class{constructor(e,t,o){this.variableNames=["c","a","b"],this.outputShape=t;let n,s;if(o>4)throw Error(`Where for rank ${o} is not yet supported`);if(o===1)s="resRC",n="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],p=[],u=[];for(let c=0;c4)throw Error(`Where for rank ${o} is not yet supported`);if(o===1)s="resRC",n="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],p=[],u=[];for(let c=0;c= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); -`,vZ=he({opSnippet:IZ}),VD={kernelName:Ca,backendName:"webgl",kernelFunc:vZ};var kZ=$o+` +`,Lee=ge({opSnippet:Mee}),l3={kernelName:ms,backendName:"webgl",kernelFunc:Lee};var Bee=Do+` return 1.0 / (1.0 + exp(-1.0 * x)); -`,NZ=` +`,zee=` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); @@ -4522,15 +4633,20 @@ return a / b;`,M7=` result.a = isNaN.a ? x.a : result.a; return result; -`,TZ=he({opSnippet:kZ,packedOpSnippet:NZ,cpuKernelImpl:gE}),zD={kernelName:Gn,backendName:"webgl",kernelFunc:TZ};var _Z=` +`,Vee=ge({opSnippet:Bee,packedOpSnippet:zee,cpuKernelImpl:zR}),m3={kernelName:hs,backendName:"webgl",kernelFunc:Vee};var Wee=` if (isnan(x)) { return 0.0; } return sign(x); -`,$Z=he({opSnippet:_Z}),WD={kernelName:wa,backendName:"webgl",kernelFunc:$Z};var EZ=$o+` +`,Uee=ge({opSnippet:Wee}),d3={kernelName:fs,backendName:"webgl",kernelFunc:Uee};var Gee=Do+` return sin(x); -`,AZ=he({opSnippet:EZ}),UD={kernelName:Un,backendName:"webgl",kernelFunc:AZ};var RZ=` +`,Hee=` + vec4 result = sin(x); + bvec4 isNaN = isnan(x); + ${Kr} + return result; +`,Kee=ge({opSnippet:Gee,packedOpSnippet:Hee}),f3={kernelName:ds,backendName:"webgl",kernelFunc:Kee};var qee=` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; -`,DZ=he({opSnippet:RZ}),GD={kernelName:Sa,backendName:"webgl",kernelFunc:DZ};var FZ=` +`,jee=ge({opSnippet:qee}),h3={kernelName:ja,backendName:"webgl",kernelFunc:jee};var Xee=` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; @@ -4550,17 +4666,17 @@ return a / b;`,M7=` result = log(exp_x + 1.0); } return result; -`,OZ=he({opSnippet:FZ}),HD={kernelName:Ia,backendName:"webgl",kernelFunc:OZ};var PZ=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeIntermediateTensorInfo(x)),g},KD={kernelName:As,backendName:"webgl",kernelFunc:PZ};function MZ(r){let{inputs:e,backend:t}=r,{indices:o,values:n,denseShape:s,defaultValue:a}=e;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: +`,Yee=ge({opSnippet:Xee}),g3={kernelName:gs,backendName:"webgl",kernelFunc:Yee};var Qee=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeIntermediateTensorInfo(x)),g},x3={kernelName:ca,backendName:"webgl",kernelFunc:Qee};function Zee(r){let{inputs:e,backend:t}=r,{indices:o,values:n,denseShape:s,defaultValue:a}=e;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${s.shape}`);if(o.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${o.shape}`);if(n.shape.length!==1)throw new Error(`Values must be a vector, saw: ${n.shape}`);if(a.shape.length!==0)throw new Error(`Default value must be a scalar, saw: - ${a.shape}`);let i=t.readSync(o.dataId),p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=t.readSync(a.dataId)[0],[l,m,d,f,h]=yE(i,o.shape,o.dtype,p,n.dtype,u,c);return[t.makeTensorInfo(m,o.dtype,l),t.makeTensorInfo([m[0]],n.dtype,d),t.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var qD={kernelName:hi,backendName:"webgl",kernelFunc:MZ};function LZ(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.readSync(n.dataId)),i=t.readSync(o.dataId),p=Array.from(t.readSync(s.dataId)),[u,c,l]=bE(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var jD={kernelName:va,backendName:"webgl",kernelFunc:LZ};function BZ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${a.shape}`);let i=t.readSync(o.dataId),p=t.readSync(n.dataId),u=t.readSync(s.dataId),c=t.readSync(a.dataId)[0],[l,m,d,f,h]=WR(i,o.shape,o.dtype,p,n.dtype,u,c);return[t.makeTensorInfo(m,o.dtype,l),t.makeTensorInfo([m[0]],n.dtype,d),t.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),t.makeTensorInfo([h.length],o.dtype,new Int32Array(h))]}var y3={kernelName:Vi,backendName:"webgl",kernelFunc:Zee};function Jee(r){let{inputs:e,backend:t}=r,{inputIndices:o,inputShape:n,newShape:s}=e;if(o.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${o.shape}`);if(n.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=Array.from(t.readSync(n.dataId)),i=t.readSync(o.dataId),p=Array.from(t.readSync(s.dataId)),[u,c,l]=UR(i,o.shape,o.dtype,a,p);return[t.makeTensorInfo(c,o.dtype,u),t.makeTensorInfo([l.length],s.dtype,new Int32Array(l))]}var b3={kernelName:Xa,backendName:"webgl",kernelFunc:Jee};function ete(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=jf(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var XD={kernelName:gi,backendName:"webgl",kernelFunc:BZ};function VZ(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape + ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=uh(a,o.shape,o.dtype,i,p,!0);return t.makeTensorInfo(c,o.dtype,u)}var C3={kernelName:Wi,backendName:"webgl",kernelFunc:ete};function tte(r){let{inputs:e,backend:t}=r,{data:o,indices:n,segmentIds:s}=e;if(o.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(n.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${n.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape - ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=jf(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var YD={kernelName:xi,backendName:"webgl",kernelFunc:VZ};function zZ(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1;if(s.dtype==="string"){let x=t.bufferSync(n),b=t.bufferSync(s),C=y.decodeString(t.readSync(a.dataId)[0]),w=hE(x,b,i,m,c,u,p,l,C,d);return t.makeTensorInfo(i,w.dtype,w.values)}let f=new Sc(u,p,n.shape.length,s.shape.length,l,[m,1],d),h=t.runWebGLProgram(f,[s,n,a],s.dtype),g=re({inputs:{x:h},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(h),g}var QD={kernelName:yi,backendName:"webgl",kernelFunc:zZ};function WZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=ls({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var ZD={kernelName:Rs,backendName:"webgl",kernelFunc:WZ};var JD="return sqrt(x);",UZ=he({opSnippet:JD,packedOpSnippet:JD,cpuKernelImpl:CE}),eF={kernelName:Hn,backendName:"webgl",kernelFunc:UZ};var GZ="return x * x;",HZ=he({opSnippet:GZ}),tF={kernelName:bi,backendName:"webgl",kernelFunc:HZ};var rF="return (a - b) * (a - b);",KZ=tt({opSnippet:rF,packedOpSnippet:rF}),oF={kernelName:jn,backendName:"webgl",kernelFunc:KZ};function qZ({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=zt+` + ${s.shape}`);let a=t.readSync(o.dataId),i=t.readSync(n.dataId),p=t.readSync(s.dataId),[u,c]=uh(a,o.shape,o.dtype,i,p);return t.makeTensorInfo(c,o.dtype,u)}var w3={kernelName:Ui,backendName:"webgl",kernelFunc:tte};function rte(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1;if(s.dtype==="string"){let x=t.bufferSync(n),b=t.bufferSync(s),w=y.decodeString(t.readSync(a.dataId)[0]),S=BR(x,b,i,m,c,u,p,l,w,d);return t.makeTensorInfo(i,S.dtype,S.values)}let f=new yu(u,p,n.shape.length,s.shape.length,l,[m,1],d),h=t.runWebGLProgram(f,[s,n,a],s.dtype),g=te({inputs:{x:h},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(h),g}var S3={kernelName:Cs,backendName:"webgl",kernelFunc:rte};function ote(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=Ls({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var I3={kernelName:la,backendName:"webgl",kernelFunc:ote};var v3="return sqrt(x);",nte=ge({opSnippet:v3,packedOpSnippet:v3,cpuKernelImpl:GR}),k3={kernelName:xs,backendName:"webgl",kernelFunc:nte};var ste="return x * x;",ate=ge({opSnippet:ste}),N3={kernelName:Gi,backendName:"webgl",kernelFunc:ate};var T3="return (a - b) * (a - b);",ite=nt({opSnippet:T3,packedOpSnippet:T3}),_3={kernelName:ws,backendName:"webgl",kernelFunc:ite};function ute(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e;if(n.dtype!=="string")throw new Error("Input must be of datatype string");let s=t.readSync(n.dataId),a=C.fromUint8ToStringArray(s),i=HR(a,"string",o);return t.makeTensorInfo(n.shape,"string",i)}var $3={kernelName:_u,backendName:"webgl",kernelFunc:ute};function pte({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=Ut+` return x > 0.0 ? 1.0 : float(${e.alpha}); - `,s=new Jt(o.shape,n);return t.runWebGLProgram(s,[o],o.dtype)}var nF={kernelName:fo,backendName:"webgl",kernelFunc:qZ};var mg=class{constructor(e,t,o){this.variableNames=["x"],this.outputShape=o;let n=o.length,s=$e(o.length),a=$e(o.length),i="";if(n===1)i="coords * strides + begin";else{let p=0;i=o.map((u,c)=>(p++,o.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${p-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=` + `,s=new tr(o.shape,n);return t.runWebGLProgram(s,[o],o.dtype)}var E3={kernelName:yo,backendName:"webgl",kernelFunc:pte};var _g=class{constructor(e,t,o){this.variableNames=["x"],this.outputShape=o;let n=o.length,s=Re(o.length),a=Re(o.length),i="";if(n===1)i="coords * strides + begin";else{let p=0;i=o.map((u,c)=>(p++,o.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${p-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=` ${s} begin = ${s}(${e}); ${s} strides = ${s}(${t}); @@ -4568,15 +4684,15 @@ return a / b;`,M7=` ${a} coords = getOutputCoords(); setOutput(getX(${i})); } - `}};function jZ(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=re({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let E=ut.computeOutShape(b,C,w),A=ls({inputs:{x:n},backend:t,attrs:{begin:b,size:E}});k=re({inputs:{x:A},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(A)}else if(t.shouldExecuteOnCPU([n])){let A=t.readSync(n.dataId),R=le(n.shape,n.dtype,A),D=SE(d,R,w,b);k=t.makeTensorInfo(f,n.dtype,D.values)}else{let A=new mg(b,w,d);k=t.runWebGLProgram(A,[n],n.dtype)}let _=re({inputs:{x:k},backend:t,attrs:{shape:f}});return t.disposeIntermediateTensorInfo(k),_}var sF={kernelName:Xn,backendName:"webgl",kernelFunc:jZ};function XZ(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=wE(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var aF={kernelName:Ds,backendName:"webgl",kernelFunc:XZ};function YZ(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.readSync(s.dataId),p=t.readSync(a.dataId)[0],[u,c,l]=IE(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],"int32",u),t.makeTensorInfo([m],"string",c),t.makeTensorInfo([2],"int32",new Int32Array(l))]}var iF={kernelName:Ci,backendName:"webgl",kernelFunc:YZ};function QZ(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(n<=0)throw new Error("Number of buckets must be at least 1");let a=t.readSync(s.dataId),i=vE(a,n);return t.makeTensorInfo(s.shape,"int32",i)}var uF={kernelName:Si,backendName:"webgl",kernelFunc:QZ};var ZZ="return tan(x);",JZ=he({opSnippet:ZZ}),pF={kernelName:Qn,backendName:"webgl",kernelFunc:JZ};var e9=` + `}};function cte(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=te({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let E=ct.computeOutShape(b,w,S),R=Ls({inputs:{x:n},backend:t,attrs:{begin:b,size:E}});k=te({inputs:{x:R},backend:t,attrs:{shape:f}}),t.disposeIntermediateTensorInfo(R)}else if(t.shouldExecuteOnCPU([n])){let R=t.readSync(n.dataId),D=me(n.shape,n.dtype,R),F=KR(d,D,S,b);k=t.makeTensorInfo(f,n.dtype,F.values)}else{let R=new _g(b,S,d);k=t.runWebGLProgram(R,[n],n.dtype)}let _=te({inputs:{x:k},backend:t,attrs:{shape:f}});return t.disposeIntermediateTensorInfo(k),_}var R3={kernelName:Ss,backendName:"webgl",kernelFunc:cte};function lte(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=qR(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var D3={kernelName:ma,backendName:"webgl",kernelFunc:lte};function mte(r){let{inputs:e,backend:t,attrs:o}=r,{skipEmpty:n}=o,{input:s,delimiter:a}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(a.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${a.shape}`);let i=t.readSync(s.dataId),p=t.readSync(a.dataId)[0],[u,c,l]=jR(i,p,n),m=c.length;return[t.makeTensorInfo([m,2],"int32",u),t.makeTensorInfo([m],"string",c),t.makeTensorInfo([2],"int32",new Int32Array(l))]}var A3={kernelName:Hi,backendName:"webgl",kernelFunc:mte};function dte(r){let{inputs:e,backend:t,attrs:o}=r,{numBuckets:n}=o,{input:s}=e;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(n<=0)throw new Error("Number of buckets must be at least 1");let a=t.readSync(s.dataId),i=XR(a,n);return t.makeTensorInfo(s.shape,"int32",i)}var F3={kernelName:Ki,backendName:"webgl",kernelFunc:dte};var fte="return tan(x);",hte=ge({opSnippet:fte}),P3={kernelName:vs,backendName:"webgl",kernelFunc:hte};var gte=` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); -`,t9=he({opSnippet:e9}),cF={kernelName:Zn,backendName:"webgl",kernelFunc:t9};var dg=class{constructor(e,t){this.variableNames=["A"];let o=new Array(e.length);for(let a=0;a5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`imod(resRC, ${r[0]})`;let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],o=[];for(let n=0;n5){let p=t.readSync(n.dataId),u=n.dtype==="string"?p.map(m=>y.decodeString(m)):p,c=le(n.shape,n.dtype,u),l=NE(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new dg(n.shape,s);return t.runWebGLProgram(a,[n],n.dtype)}var lF={kernelName:to,backendName:"webgl",kernelFunc:Qw};var fg=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` + `}};function bte(r){let e=r.length;if(e>5)throw Error(`Tile for rank ${e} is not yet supported`);if(e===1)return`imod(resRC, ${r[0]})`;let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],o=[];for(let n=0;n5){let p=t.readSync(n.dataId),u=n.dtype==="string"?p.map(m=>y.decodeString(m)):p,c=me(n.shape,n.dtype,u),l=QR(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new $g(n.shape,s);return t.runWebGLProgram(a,[n],n.dtype)}var L3={kernelName:so,backendName:"webgl",kernelFunc:hv};var Eg=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; @@ -4616,7 +4732,7 @@ return a / b;`,M7=` setOutput(float(i1)); } } - `}},hg=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` + `}},Rg=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); @@ -4650,7 +4766,7 @@ return a / b;`,M7=` setOutput(x0 >= x1 ? float(i0) : float(i1)); } - `}};function Gu(r,e){e!==null&&r.disposeIntermediateTensorInfo(e)}function mF(r){let e=1;for(;ep){let D=t.readSync(n.dataId),[P,M]=TE(D,u,n.dtype,s,a);return[t.makeTensorInfo(P.shape,P.dtype,P.values),t.makeTensorInfo(M.shape,M.dtype,M.values)]}if(s===0)return u[u.length-1]=0,[t.makeTensorInfo(u,n.dtype,[]),t.makeTensorInfo(u,"int32",[])];if(c===1)return[n,qa({attrs:{shape:u,dtype:"int32",value:0},backend:t})];let l=t.texData.get(n.dataId),m=l!==null&&l.isPacked,d=m?t.unpackTensor(n):n,h=y.sizeFromShape(u)/c,g=re({inputs:{x:d},attrs:{shape:[h,c]},backend:t});m&&Gu(t,d);let x=mF(s),b=mF(c),C=null,w=()=>C===null?[g,g]:[g,C],k=(D,P,M)=>{let L=w(),V=new fg(M),U=[[c],[C===null?1:0],[Number.NEGATIVE_INFINITY],[D],[P]],K=C;C=t.runWebGLProgram(V,L,"int32",U),Gu(t,K)};for(let D=1;D=1;M/=2)k(P,M,[h,b])}for(let D=b;D>x;D/=2){let P=w(),M=new hg([h,D/2]),V=[[c],[C===null?1:0],[x]],z=C;C=t.runWebGLProgram(M,P,"int32",V),Gu(t,z);let U=x/2,K=U*2;for(let H=U;H>=1;H/=2)k(K,H,C.shape)}let _=C;C=ls({inputs:{x:C},backend:t,attrs:{begin:0,size:[h,s]}}),Gu(t,_);let E=Gw({inputs:{x:g,indices:C},backend:t,attrs:{axis:1,batchDims:1}});Gu(t,g);let A=u.slice(0,-1);A.push(s),_=C,C=re({inputs:{x:C},attrs:{shape:A},backend:t}),Gu(t,_);let R=E;return E=re({inputs:{x:E},attrs:{shape:A},backend:t}),Gu(t,R),[E,C]}var dF={kernelName:Jn,backendName:"webgl",kernelFunc:o9};var gg=class{constructor(e,t,o,n,s,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let i=o==="nearest"?1:2,p;switch(n){case"constant":p=1;break;case"reflect":p=2;break;case"wrap":p=3;break;case"nearest":p=4;break;default:p=1;break}this.userCode=` + `}};function Ip(r,e){e!==null&&r.disposeIntermediateTensorInfo(e)}function B3(r){let e=1;for(;ep){let F=t.readSync(n.dataId),[O,M]=ZR(F,u,n.dtype,s,a);return[t.makeTensorInfo(O.shape,O.dtype,O.values),t.makeTensorInfo(M.shape,M.dtype,M.values)]}if(s===0)return u[u.length-1]=0,[t.makeTensorInfo(u,n.dtype,[]),t.makeTensorInfo(u,"int32",[])];if(c===1)return[n,xi({attrs:{shape:u,dtype:"int32",value:0},backend:t})];let l=t.texData.get(n.dataId),m=l!==null&&l.isPacked,d=m?t.unpackTensor(n):n,h=y.sizeFromShape(u)/c,g=te({inputs:{x:d},attrs:{shape:[h,c]},backend:t});m&&Ip(t,d);let x=B3(s),b=B3(c),w=null,S=()=>w===null?[g,g]:[g,w],k=(F,O,M)=>{let L=S(),B=new Eg(M),U=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[F],[O]],j=w;w=t.runWebGLProgram(B,L,"int32",U),Ip(t,j)};for(let F=1;F=1;M/=2)k(O,M,[h,b])}for(let F=b;F>x;F/=2){let O=S(),M=new Rg([h,F/2]),B=[[c],[w===null?1:0],[x]],z=w;w=t.runWebGLProgram(M,O,"int32",B),Ip(t,z);let U=x/2,j=U*2;for(let H=U;H>=1;H/=2)k(j,H,w.shape)}let _=w;w=Ls({inputs:{x:w},backend:t,attrs:{begin:0,size:[h,s]}}),Ip(t,_);let E=uv({inputs:{x:g,indices:w},backend:t,attrs:{axis:1,batchDims:1}});Ip(t,g);let R=u.slice(0,-1);R.push(s),_=w,w=te({inputs:{x:w},attrs:{shape:R},backend:t}),Ip(t,_);let D=E;return E=te({inputs:{x:E},attrs:{shape:R},backend:t}),Ip(t,D),[E,w]}var z3={kernelName:Ns,backendName:"webgl",kernelFunc:Cte};var Dg=class{constructor(e,t,o,n,s,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let i=o==="nearest"?1:2,p;switch(n){case"constant":p=1;break;case"reflect":p=2;break;case"wrap":p=3;break;case"nearest":p=4;break;default:p=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${p} == 2) { @@ -4762,7 +4878,7 @@ return a / b;`,M7=` } setOutput(outputValue); } - `}};function n9(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new gg(l,m,a,i,p,g);return t.runWebGLProgram(x,[n,s],"float32")}var fF={kernelName:es,backendName:"webgl",kernelFunc:n9};function s9(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e;us(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let a=o.readSync(s.dataId),{outputValues:i,outputShape:p,indices:u}=_E(a,n,s.shape,s.dtype);return[o.makeTensorInfo(p,s.dtype,i),o.makeTensorInfo([u.length],"int32",u)]}var hF={kernelName:Np,backendName:"webgl",kernelFunc:s9};function a9(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeIntermediateTensorInfo(h)),f}var gF={kernelName:Fs,backendName:"webgl",kernelFunc:a9};var xg=class{constructor(e,t){this.variableNames=["x","segmentIds"];let o=e.windowSize,n=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/o);this.outputShape=[n,i];let p="0.0",u="sumValue",c=Math.floor(o/4)*4,l=o%4,m=` + `}};function wte(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Dg(l,m,a,i,p,g);return t.runWebGLProgram(x,[n,s],"float32")}var V3={kernelName:Ts,backendName:"webgl",kernelFunc:wte};function Ste(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e;Ps(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let a=o.readSync(s.dataId),{outputValues:i,outputShape:p,indices:u}=JR(a,n,s.shape,s.dtype);return[o.makeTensorInfo(p,s.dtype,i),o.makeTensorInfo([u.length],"int32",u)]}var W3={kernelName:qi,backendName:"webgl",kernelFunc:Ste};function Ite(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeIntermediateTensorInfo(h)),f}var U3={kernelName:da,backendName:"webgl",kernelFunc:Ite};var Ag=class{constructor(e,t){this.variableNames=["x","segmentIds"];let o=e.windowSize,n=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/o);this.outputShape=[n,i];let p="0.0",u="sumValue",c=Math.floor(o/4)*4,l=o%4,m=` sumValue += dot(values, segFilter); `,d="";s%o>0&&(d=` if (inIdx < 0 || inIdx >= ${s}) { @@ -4868,9 +4984,9 @@ return a / b;`,M7=` } setOutput(${u}); } - `}};function i9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,segmentIds:s}=e,{numSegments:a}=o,i=n.shape.length,p=[],u=0,c=S.getAxesPermutation([u],i),l=n;c!=null&&(l=yt({inputs:{x:n},backend:t,attrs:{perm:c}}),p.push(l),u=S.getInnerMostAxes(1,i)[0]);let m=S.segment_util.computeOutShape(l.shape,u,a),d=y.sizeFromShape([l.shape[u]]),f=re({inputs:{x:l},backend:t,attrs:{shape:[-1,d]}});p.push(f);let h=Ta(n.dtype),g=(w,k,_,E,A)=>{let R=w.shape[0],D=w.shape[1],P=S.segment_util.segOpComputeOptimalWindowSize(D,A),M={windowSize:P,inSize:D,batchSize:R,numSegments:A},L=new xg(M,k),V=t.compileAndRun(L,[w,_],E);if(p.push(V),V.shape[1]===A)return V;let z=Yw({backend:t,attrs:{start:0,stop:A,step:1,dtype:"float32"}}),U=Qw({inputs:{x:z},backend:t,attrs:{reps:[D/P]}});return p.push(z),p.push(U),g(V,k,U,E,A)},x=g(f,"unsortedSegmentSum",s,h,a),b=re({inputs:{x},backend:t,attrs:{shape:m}}),C=b;if(c!=null){p.push(b);let w=S.getUndoAxesPermutation(c);C=yt({inputs:{x:C},backend:t,attrs:{perm:w}})}return p.forEach(w=>t.disposeIntermediateTensorInfo(w)),C}var xF={kernelName:Tp,backendName:"webgl",kernelFunc:i9};var u9=[rA,nA,sA,aA,uA,pA,cA,lA,fA,hA,gA,xA,yA,bA,CA,SA,wA,IA,vA,kA,NA,_A,$A,EA,FA,PA,MA,KE,BA,zA,WA,UA,GA,HA,KA,qA,jA,XA,YA,JA,eR,tR,rR,oR,nR,sR,aR,iR,uR,pR,cR,lR,mR,dR,fR,gR,xR,yR,bR,SR,wR,IR,vR,kR,NR,TR,_R,$R,HE,ER,VA,AR,RR,DR,qE,FR,OR,PR,MR,LR,BR,VR,zR,WR,UR,HR,KR,qR,jR,XR,YR,ZR,eD,tD,rD,oD,nD,pD,YE,cD,lD,mD,dD,AA,fD,xD,yD,bD,CD,jE,SD,wD,ID,vD,kD,RA,sD,ND,TD,_D,ZE,$D,ED,AD,RD,DD,FD,OD,PD,MD,LD,BD,VD,zD,WD,UD,GD,TA,uD,HD,KD,qD,jD,XD,YD,QD,ZD,eF,tF,oF,nF,sF,aF,iF,uF,iD,eA,pF,cF,lF,dF,fF,tA,hF,gF,xF,hD];for(let r of u9)ka(r);var Fe;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(Fe||(Fe={}));var Ui;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})(Ui||(Ui={}));var yF;function p9(r){yF=r.wasm.cwrap(ho,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function c9(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e;if(n.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o,m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=0;if(a!=null){let A=t.dataIdMap.get(a.dataId);if(A.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${A.shape.length}.`);f=A.id}let h=i==null?0:t.dataIdMap.get(i.dataId).id,g=Ui[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=p?n.shape[2]:n.shape[1],b=u?s.shape[1]:s.shape[2],C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)),w=t.makeOutput([...C,x,b],n.dtype),k=t.dataIdMap.get(w.dataId).id,_=new Uint8Array(new Int32Array(n.shape).buffer),E=new Uint8Array(new Int32Array(s.shape).buffer);return yF(m,_,n.shape.length,d,E,s.shape.length,p,u,g,f,h,l||0,k),w}var bF={kernelName:ho,backendName:"wasm",setupFunc:p9,kernelFunc:c9};function Ve(r,e){let t;function o(s){t=s.wasm.cwrap(r,null,["number","number","number"])}function n(s){let{backend:a,inputs:{x:i}}=s,p=a.dataIdMap.get(i.dataId).id,u=a.makeOutput(i.shape,e||i.dtype),c=a.dataIdMap.get(u.dataId).id;return y.sizeFromShape(u.shape)===0||t(p,Fe[i.dtype],c),u}return{kernelName:r,backendName:"wasm",setupFunc:o,kernelFunc:n}}var CF=Ve(ys);function rt(r,e,t){let o;function n(a){o=a.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(a){let{backend:i,inputs:p}=a,{a:u,b:c}=p,l=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,d=t!=null?t:u.dtype,f=S.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(f,d);if(y.sizeFromShape(f)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=i.dataIdMap.get(h.dataId).id;return(()=>o(l,g,u.shape.length,m,x,c.shape.length,Fe[u.dtype],b))(),h}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:s}}var l9=!0,SF=rt(eo,l9);var wF;function m9(r){wF=r.wasm.cwrap(Po,null,["array","number","number","number"])}function d9(r){let{inputs:e,backend:t}=r,o=t.makeOutput(e[0].shape,e[0].dtype);if(y.sizeFromShape(o.shape)===0)return o;let n=e.map(i=>t.dataIdMap.get(i.dataId).id),s=new Uint8Array(new Int32Array(n).buffer),a=t.dataIdMap.get(o.dataId).id;return wF(s,n.length,Fe[o.dtype],a),o}var IF={kernelName:Po,backendName:"wasm",setupFunc:m9,kernelFunc:d9};function Hu(r){let{inputs:{x:e},backend:t}=r;if(e.dtype==="string")return nr(t.readSync(e.dataId),e.shape,e.dtype);let o=t.makeOutput(e.shape,e.dtype),n=t.typedArrayFromHeap(e);return t.typedArrayFromHeap(o).set(n),o}var vF={kernelName:mo,backendName:"wasm",kernelFunc:Hu};var kF;function f9(r){kF=r.wasm.cwrap(ro,null,["number","array","number","number","number","array","number"])}function uo(r){let{inputs:e,backend:t,attrs:o}=r,[n,s]=g9(e.x.shape,o.perm),a=!0;for(let f=0;f=n&&(s===-1||o[s]>o[a])&&(s=a);o[s]=n}return[t,o]}var NF={kernelName:ro,backendName:"wasm",kernelFunc:uo,setupFunc:f9};function kr(r,e,t){let o=r.shape,n=r.shape.length,s=y.parseAxisParam(e,o),a=s,i=S.getAxesPermutation(a,n),p=null,u=!1;if(i!=null){let c=new Array(n);for(let d=0;d`new shape: ${a}, old shape: ${o.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var OF={kernelName:_s,backendName:"wasm",kernelFunc:Lt};var PF;function k9(r){PF=r.wasm.cwrap(zo,null,["number","array","number","number","array","number","number","number","number"])}function N9(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;if(n.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),C=yr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let w=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=Lt({inputs:{x:n},backend:t,attrs:{shape:w}}),E=Lt({inputs:{x:s},backend:t,attrs:{shape:k}}),A=t.dataIdMap.get(_.dataId).id,R=t.dataIdMap.get(E.dataId).id,D=a?_.shape[2]:_.shape[1],P=i?E.shape[1]:E.shape[2],M=Math.max(g,x),L=t.makeOutput([M,D,P],_.dtype),V=t.dataIdMap.get(L.dataId).id,z=new Uint8Array(new Int32Array(_.shape).buffer),U=new Uint8Array(new Int32Array(E.shape).buffer);return PF(A,z,_.shape.length,R,U,E.shape.length,a,i,V),t.disposeData(_.dataId),t.disposeData(E.dataId),L.shape=C,L}var MF={kernelName:zo,backendName:"wasm",setupFunc:k9,kernelFunc:N9};function Eo(r){let{inputs:{x:e},attrs:{begin:t,size:o},backend:n}=r,[s,a]=ut.parseSliceParams(e,t,o),i=ut.isSliceContinous(e.shape,s,a),p=n.readSync(e.dataId),u=n.makeOutput(a,e.dtype),c=y.computeStrides(e.shape),l=n.dataIdMap.get(u.dataId);if(i){let f=ut.computeFlatOffset(s,c);return e.dtype==="string"?l.stringBytes=p.slice(f,f+y.sizeFromShape(a)):n.typedArrayFromHeap(u).set(p.subarray(f,f+y.sizeFromShape(a))),u}if(e.dtype==="string"){let f=$u(p,s,a,e.shape,e.dtype);return l.stringBytes=f,u}let m=n.typedArrayFromHeap(u),d=e.shape.length;if(d===2)T9(p,c[0],m,s,a);else if(d===3)_9(p,c[0],c[1],m,s,a);else if(d===4)$9(p,c[0],c[1],c[2],m,s,a);else{let f=$u(p,s,a,e.shape,e.dtype);m.set(f)}return u}function T9(r,e,t,o,n){let s=0,a=o[0],i=o[1],p=a+n[0];for(let u=a;ux*b),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=Lt({inputs:{x:n},backend:t,attrs:{shape:p}}),f=uo({inputs:{x:d},backend:t,attrs:{perm:u}}),h=Lt({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Eo({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(d.dataId),g}var BF={kernelName:bs,backendName:"wasm",kernelFunc:E9};function ms(r){let{inputs:{x:e},attrs:{dtype:t},backend:o}=r,n=o.makeOutput(e.shape,t),s=o.typedArrayFromHeap(e);return o.typedArrayFromHeap(n).set(s),n}var VF={kernelName:co,backendName:"wasm",kernelFunc:ms};var zF=Ve(Wo);var WF;function A9(r){WF=r.wasm.cwrap(lo,null,["number","number","number","number"])}function R9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i=t.dataIdMap.get(n.dataId).id,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(p.dataId).id;return WF(i,s,a,u),p}var UF={kernelName:lo,backendName:"wasm",setupFunc:A9,kernelFunc:R9};function Zw(r){let{inputs:e,backend:t}=r,o=y.parseAxisParam(r.attrs.axis,e[0].shape)[0],n=e.map(d=>d.shape);S.assertParamsConsistent(n,o);let s=S.computeOutShape(e.map(d=>d.shape),o),a=e.filter(d=>y.sizeFromShape(d.shape)>0);if(a.length===1)return Hu({inputs:{x:a[0]},backend:t});let i=t.makeOutput(s,e[0].dtype);if(y.sizeFromShape(s)===0)return i;if(a[0].dtype==="string"){let d=a.map(C=>{let k=[-1,y.sizeFromShape(C.shape.slice(o))];return Lt({inputs:{x:C},backend:t,attrs:{shape:k}})}),f=d.map(C=>({vals:t.readSync(C.dataId),shape:C.shape}));s=S.computeOutShape(d.map(C=>C.shape),1);let h=d[0].shape[0]===1,g=Nu(f,s,e[0].dtype,h),x=S.computeOutShape(a.map(C=>C.shape),o);i.shape=x;let b=t.dataIdMap.get(i.dataId);return b.stringBytes=S.fromStringArrayToUint8(g),d.forEach(C=>t.disposeData(C.dataId)),i}let p=y.sizeFromShape(a[0].shape.slice(0,o)),u=0,c=a.map(d=>{let f=y.sizeFromShape(d.shape.slice(o));return u+=f,f}),l=a.map(d=>t.typedArrayFromHeap(d)),m=t.typedArrayFromHeap(i);for(let d=0;d`cumprod does not support ${n.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],p),c=n;u!==null&&(c=uo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=S.getInnerMostAxes(1,p)[0];S.assertAxesAreInnerMostDims("cumprod",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;JF(f,a?1:0,i?1:0,d,h,Fe[n.dtype]);let g=m;if(u!==null){let x=S.getUndoAxesPermutation(u);g=uo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var eO={kernelName:qo,backendName:"wasm",setupFunc:B9,kernelFunc:V9};var tO;function z9(r){tO=r.wasm.cwrap(jo,null,["number","number","number","number","number","number"])}function W9(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o,p=n.shape.length;y.assert(n.dtype==="float32"||n.dtype==="int32",()=>`cumsum does not support ${n.dtype} tensors in the WASM backend`);let u=S.getAxesPermutation([s],p),c=n;u!==null&&(c=uo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=S.getInnerMostAxes(1,p)[0];S.assertAxesAreInnerMostDims("cumsum",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;tO(f,a?1:0,i?1:0,d,h,Fe[n.dtype]);let g=m;if(u!==null){let x=S.getUndoAxesPermutation(u);g=uo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var rO={kernelName:jo,backendName:"wasm",setupFunc:z9,kernelFunc:W9};var oO;function U9(r){oO=r.wasm.cwrap(Yo,null,["number","number","number","array","number","array","array","number","number"])}function G9(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=e.makeOutput(f,"float32"),x=e.dataIdMap.get(n.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),C=new Uint8Array(new Int32Array(f).buffer),w=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),k=e.dataIdMap.get(h.dataId).id;return oO(x,s,a==="NHWC"?1:0,b,n.shape.length-1,C,w,f.length,k),h}var nO={kernelName:Yo,backendName:"wasm",setupFunc:U9,kernelFunc:G9};var sO;function H9(r){sO=r.wasm.cwrap(Qo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function K9(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,a=o.dataIdMap.get(n.dataId).id,i=o.dataIdMap.get(s.dataId).id,{strides:p,dilations:u,pad:c,dimRoundingMode:l}=t,m=u==null?[1,1]:u,d=S.computeConv2DInfo(n.shape,s.shape,p,m,c,l,!0),f=d.filterHeight,h=d.filterWidth,g=d.padInfo.top,x=d.padInfo.right,b=d.padInfo.bottom,C=d.padInfo.left,w=d.dilationHeight,k=d.dilationWidth,_=d.strideHeight,E=d.strideWidth,A=d.inChannels,R=d.outChannels,D=d.padInfo.type==="SAME"?1:0;if(d.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${d.dataFormat}'. Please use 'channelsLast'.`);let P=o.makeOutput(d.outShape,"float32"),M=o.dataIdMap.get(P.dataId).id;return sO(a,n.shape[0],n.shape[1],n.shape[2],i,f,h,g,x,b,C,D,w,k,_,E,A,R,M),P}var aO={kernelName:Qo,backendName:"wasm",setupFunc:H9,kernelFunc:K9};var iO=Ve(Jo);var q9=!1,uO=rt(en,q9,"bool");var pO=Ve(tn,"float32");function yg(r){let{inputs:e,attrs:t,backend:o}=r,{input:n}=e,{dim:s}=t,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),Lt({inputs:{x:n},backend:o,attrs:{shape:i}})}var cO={kernelName:Ss,backendName:"wasm",kernelFunc:yg};function eI(r){let{attrs:{shape:e,value:t,dtype:o},backend:n}=r,s=n.makeOutput(e,o);return n.typedArrayFromHeap(s).fill(t),s}var lO={kernelName:ws,backendName:"wasm",kernelFunc:eI};var mO;function j9(r){mO=r.wasm.cwrap(rn,null,["number","number","number","number","number","number"])}function X9(r){let{inputs:e,backend:t}=r,{image:o}=e,n=t.makeOutput(o.shape,o.dtype),s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,[i,p,u,c]=o.shape;return mO(s,i,p,u,c,a),n}var dO={kernelName:rn,backendName:"wasm",kernelFunc:X9,setupFunc:j9};var fO=Ve(on);var Y9=!1,hO=rt(nn,Y9);var gO;function Q9(r){gO=r.wasm.cwrap(sn,null,["number","number","number","number","number","number","number"])}function Z9(r){let{backend:e,inputs:t,attrs:o}=r,{varianceEpsilon:n}=o,{x:s,mean:a,variance:i,offset:p,scale:u}=t,c=e.dataIdMap.get(s.dataId).id,l=e.dataIdMap.get(a.dataId).id,m=e.dataIdMap.get(i.dataId).id,d=p!=null?e.dataIdMap.get(p.dataId).id:0,f=u!=null?e.dataIdMap.get(u.dataId).id:0,h=e.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=e.dataIdMap.get(h.dataId).id;return gO(c,l,m,d,f,n,g),h}var xO={kernelName:sn,backendName:"wasm",setupFunc:Q9,kernelFunc:Z9};var yO;function J9(r){yO=r.wasm.cwrap(go,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function eJ(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=S.computeConv2DInfo(n.shape,s.shape,p,c,u,m),g=Ui[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,C=h.outChannels,w=0;if(a!=null){let J=o.dataIdMap.get(a.dataId);if(J.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${J.shape.length}.`);if(J.shape[0]!==C)throw new Error(`FusedConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`);w=J.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,A=h.padInfo.right,R=h.padInfo.bottom,D=h.padInfo.left,P=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,V=h.strideWidth,z=h.inChannels,U=h.padInfo.type==="SAME"?1:0,K=h.batchSize,H=h.inHeight,q=h.inWidth;if(l!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let Z=o.makeOutput(h.outShape,"float32"),ee=o.dataIdMap.get(Z.dataId).id,oe=i==null?0:o.dataIdMap.get(i.dataId).id;return yO(x,K,H,q,b,k,_,w,E,A,R,D,U,P,M,L,V,z,C,g,oe,f||0,ee),Z}var bO={kernelName:go,backendName:"wasm",setupFunc:J9,kernelFunc:eJ};var CO;function tJ(r){CO=r.wasm.cwrap(xo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function rJ(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=S.computeConv2DInfo(n.shape,s.shape,p,c,u,m,!0),g=Ui[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,C=h.outChannels,w=0;if(a!=null){let J=o.dataIdMap.get(a.dataId);if(J.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${J.shape.length}.`);if(J.shape[0]!==C)throw new Error(`FusedDepthwiseConv2D bias shape (${J.shape}) does not match the number of output channels (${C})`);w=J.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,A=h.padInfo.right,R=h.padInfo.bottom,D=h.padInfo.left,P=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,V=h.strideWidth,z=h.inChannels,U=h.padInfo.type==="SAME"?1:0,K=h.batchSize,H=h.inHeight,q=h.inWidth;if(l!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let Z=o.makeOutput(h.outShape,"float32"),ee=o.dataIdMap.get(Z.dataId).id,oe=i==null?0:o.dataIdMap.get(i.dataId).id;return CO(x,K,H,q,b,k,_,w,E,A,R,D,U,P,M,L,V,z,C,g,oe,f||0,ee),Z}var SO={kernelName:xo,backendName:"wasm",setupFunc:tJ,kernelFunc:rJ};var wO;function oJ(r){wO=r.wasm.cwrap(an,null,["number","number","number","number","number","number","array","number"])}function nJ(r){let{backend:e,inputs:t}=r,{params:o,indices:n}=t,[s,a,i,p]=Wd.prepareAndValidate(o,n),u=e.makeOutput(s,o.dtype);if(a===0)return u;let c=n.shape,l=c[c.length-1],d=e.dataIdMap.get(o.dataId).id,h=e.dataIdMap.get(n.dataId).id,g=new Uint8Array(new Int32Array(p).buffer),x=e.dataIdMap.get(u.dataId).id;return wO(d,Fe[o.dtype],h,a,l,i,g,x),u}var IO={kernelName:an,backendName:"wasm",setupFunc:oJ,kernelFunc:nJ};var vO;function sJ(r){vO=r.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function aJ(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,indices:s}=t,{axis:a,batchDims:i}=o,p=y.parseAxisParam(a,n.shape)[0],u=e.readSync(s.dataId),c=n.shape[p];for(let R=0;R=0,()=>`GatherV2: the index value ${D} is not in [0, ${c-1}]`)}let l=S.segment_util.collectGatherOpShapeInfo(n,s,p,i),m=Lt({inputs:{x:n},attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]},backend:e}),d=y.sizeFromShape(s.shape),f=Lt({inputs:{x:s},attrs:{shape:[l.batchSize,d/l.batchSize]},backend:e}),h=[l.batchSize,l.outerSize,d/l.batchSize,l.sliceSize],g=e.makeOutput(h,n.dtype);if(y.sizeFromShape(n.shape)===0)return g;let x=m.shape.length-1,C=e.dataIdMap.get(m.dataId).id,k=e.dataIdMap.get(f.dataId).id,_=e.dataIdMap.get(g.dataId).id,E=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),A=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return vO(C,Fe[n.dtype],E,x,k,l.batchSize,A,_),e.disposeData(m.dataId),e.disposeData(f.dataId),g.shape=l.outputShape,g}var kO={kernelName:Is,backendName:"wasm",setupFunc:sJ,kernelFunc:aJ};var iJ=!1,NO=rt(un,iJ,"bool");var uJ=!1,TO=rt(pn,uJ,"bool");var _O=Ve(cn,"bool");var $O;function pJ(r){$O=r.wasm.cwrap(ln,null,["number","number","number","number"])}function cJ(r){let{inputs:{x:e},attrs:{alpha:t},backend:o}=r,n=o.dataIdMap.get(e.dataId).id,s=o.makeOutput(e.shape,"float32");if(y.sizeFromShape(e.shape)!==0){let a=o.dataIdMap.get(s.dataId).id;$O(n,Fe[e.dtype],t,a)}return s}var EO={kernelName:ln,backendName:"wasm",setupFunc:pJ,kernelFunc:cJ};var lJ=!1,AO=rt(mn,lJ,"bool");var mJ=!1,RO=rt(dn,mJ,"bool");var DO=Ve(fn);var dJ=!1,FO=rt(hn,dJ,"bool");var OO=Ve(gn);var fJ=!1,PO=rt(xn,fJ,"bool");var hJ=!1,MO=rt(XI,hJ,"bool");var LO;function gJ(r){LO=r.wasm.cwrap(yn,null,["number","number","number","number"])}function xJ(r){let{backend:e,inputs:t,attrs:o}=r,{reductionIndices:n,keepDims:s}=o,{x:a}=t,p=e.dataIdMap.get(a.dataId).id,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e);if(d){let C=e.dataIdMap.get(c.dataId).id;u=c,p=C}let f=u.shape.length;S.assertAxesAreInnerMostDims("max",l,f);let[h,g]=S.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,a.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;LO(p,Fe[a.dtype],x,C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var BO={kernelName:yn,backendName:"wasm",setupFunc:gJ,kernelFunc:xJ};var yJ=!1,VO=rt(bn,yJ);var zO;function bJ(r){zO=r.wasm.cwrap(Cn,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function CJ(r){let{inputs:e,attrs:t,backend:o}=r,n=e.x,s=o.dataIdMap.get(n.dataId).id;y.assert(n.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`);let{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=t,c=S.computePool2DInfo(n.shape,a,i,1,p,u),l=c.filterHeight,m=c.filterWidth,d=c.padInfo.top,f=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,C=c.strideHeight,w=c.strideWidth,k=c.inChannels,_=c.outChannels;if(c.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let E=o.makeOutput(c.outShape,"float32"),A=o.dataIdMap.get(E.dataId).id;return zO(s,n.shape[0],n.shape[1],n.shape[2],l,m,d,f,h,g,x,b,C,w,k,_,A),E}var WO={kernelName:Cn,backendName:"wasm",setupFunc:bJ,kernelFunc:CJ};var UO;function SJ(r){UO=r.wasm.cwrap(Sn,null,["number, number, number"])}function wJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("mean",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=u;u.dtype!=="float32"&&(b=ms({backend:e,inputs:{x:u},attrs:{dtype:"float32"}}),p=e.dataIdMap.get(b.dataId).id);let C=e.makeOutput(h,"float32");if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(C.dataId).id;UO(p,x,w)}if(d&&e.disposeData(c.dataId),s){let w=S.expandShapeToKeepDim(C.shape,m);C.shape=w}return u.dtype!=="float32"&&e.disposeData(b.dataId),C}var GO={kernelName:Sn,backendName:"wasm",setupFunc:SJ,kernelFunc:wJ};var HO;function IJ(r){HO=r.wasm.cwrap(wn,null,["number","number","number","number"])}function vJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e);if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C)}let f=u.shape.length;S.assertAxesAreInnerMostDims("min",l,f);let[h,g]=S.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;HO(p,Fe[a.dtype],x,C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var KO={kernelName:wn,backendName:"wasm",setupFunc:IJ,kernelFunc:vJ};var kJ=!1,qO=rt(In,kJ);var tI;(function(r){r[r.reflect=0]="reflect",r[r.symmetric=1]="symmetric"})(tI||(tI={}));var jO;function NJ(r){jO=r.wasm.cwrap(vn,null,["number","array","number","number","array","array","number","number"])}function TJ(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,mode:n}}=r,s=o.map((f,h)=>f[0]+e.shape[h]+f[1]),a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),p=t.dataIdMap.get(i.dataId).id,u=new Uint8Array(new Int32Array(e.shape).buffer),c=o.map(f=>f[0]),l=o.map(f=>f[1]),m=new Uint8Array(new Int32Array(c).buffer),d=new Uint8Array(new Int32Array(l).buffer);return jO(a,u,e.shape.length,Fe[e.dtype],m,d,tI[n],p),i}var XO={kernelName:vn,backendName:"wasm",kernelFunc:TJ,setupFunc:NJ};var _J=!0,YO=rt(kn,_J);var QO=Ve(vs);function wc(r,e){let t=new Int32Array(r.wasm.HEAPU8.buffer,e,4),o=t[0],n=t[1],s=t[2],a=t[3];return r.wasm._free(e),{pSelectedIndices:o,selectedSize:n,pSelectedScores:s,pValidOutputs:a}}var ZO;function $J(r){ZO=r.wasm.cwrap(Tn,"number",["number","number","number","number","number"])}function EJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a}=o,{boxes:i,scores:p}=t,u=e.dataIdMap.get(i.dataId).id,c=e.dataIdMap.get(p.dataId).id,l=ZO(u,c,s,n,a),{pSelectedIndices:m,selectedSize:d,pSelectedScores:f,pValidOutputs:h}=wc(e,l);return e.wasm._free(f),e.wasm._free(h),e.makeOutput([d],"int32",m)}var JO={kernelName:Tn,backendName:"wasm",setupFunc:$J,kernelFunc:EJ};var eP;function AJ(r){eP=r.wasm.cwrap(ba,"number",["number","number","number","number","number","bool"])}function RJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,padToMaxOutputSize:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=eP(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=wc(e,m);e.wasm._free(h);let x=e.makeOutput([f],"int32",d),b=e.makeOutput([],"int32",g);return[x,b]}var tP={kernelName:ba,backendName:"wasm",setupFunc:AJ,kernelFunc:RJ};var rP;function DJ(r){rP=r.wasm.cwrap(_n,"number",["number","number","number","number","number","number"])}function FJ(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,softNmsSigma:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=rP(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=wc(e,m);e.wasm._free(g);let x=e.makeOutput([f],"int32",d),b=e.makeOutput([f],"float32",h);return[x,b]}var oP={kernelName:_n,backendName:"wasm",setupFunc:DJ,kernelFunc:FJ};var OJ=!1,nP=rt(Nn,OJ,"bool");var sP;function PJ(r){sP=r.wasm.cwrap($n,null,["number","number","number","number","number"])}function MJ(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=t.makeOutput([...n.shape,a],s),c=t.dataIdMap.get(u.dataId).id,m=t.dataIdMap.get(n.dataId).id;return sP(m,a,i,p,c),u}var aP={kernelName:$n,backendName:"wasm",setupFunc:PJ,kernelFunc:MJ};function LJ(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(1),o}var iP={kernelName:ks,backendName:"wasm",kernelFunc:LJ};function BJ(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return yg({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=yg({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Zw({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var uP={kernelName:Ns,backendName:"wasm",kernelFunc:BJ};var pP;function VJ(r){pP=r.wasm.cwrap(En,null,["number","array","number","number","array","array","number","number"])}function zJ(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,constantValue:n}}=r,s=o.map((h,g)=>h[0]+e.shape[g]+h[1]);if(y.sizeFromShape(e.shape)===0)return eI({backend:t,attrs:{shape:s,value:n,dtype:e.dtype}});let a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(e.shape).buffer),l=o.map(h=>h[0]),m=o.map(h=>h[1]),d=new Uint8Array(new Int32Array(l).buffer),f=new Uint8Array(new Int32Array(m).buffer);return pP(a,c,e.shape.length,Fe[e.dtype],d,f,n,u),i}var bg={kernelName:En,backendName:"wasm",kernelFunc:zJ,setupFunc:VJ};var WJ=!1,cP=rt(An,WJ);var lP;function UJ(r){lP=r.wasm.cwrap(Rn,null,["number","number","number"])}function GJ(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,i=s,p=o,u=p;p.dtype!=="float32"&&(u=ms({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),i=t.dataIdMap.get(u.dataId).id);let c=t.makeOutput(o.shape,"float32"),l=t.dataIdMap.get(c.dataId).id;return lP(i,a,l),p.dtype!=="float32"&&t.disposeData(u.dataId),c}var mP={kernelName:Rn,backendName:"wasm",setupFunc:UJ,kernelFunc:GJ};var dP;function HJ(r){dP=r.wasm.cwrap(Dn,null,["number","number","number","number"])}function KJ(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("prod",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;dP(p,x,Fe[b.dtype],C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var fP={kernelName:Dn,backendName:"wasm",setupFunc:HJ,kernelFunc:KJ};var qJ=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=_u(o,n,s,a),p=e.makeOutput([i.length],a);return e.typedArrayFromHeap(p).set(i),p},hP={kernelName:Ts,backendName:"wasm",kernelFunc:qJ};var jJ=!0,gP=rt(Zo,jJ);var xP=Ve(Fn);var yP=Ve(On);var bP=Ve(Ln);var CP;function XJ(r){CP=r.wasm.cwrap(Mn,null,["number","number","number","number","number","number","number","number","number","number"])}function YJ(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.dataIdMap.get(n.dataId),g;h.dtype!=="float32"&&(g=ms({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),h=e.dataIdMap.get(g.dataId));let x=h.id,b=e.makeOutput(f,"float32");if(y.sizeFromShape(n.shape)===0)return b;let C=e.dataIdMap.get(b.dataId).id;return CP(x,c,l,m,d,p,u,s?1:0,a?1:0,C),g!=null&&e.disposeData(g.dataId),b}var SP={kernelName:Mn,backendName:"wasm",setupFunc:XJ,kernelFunc:YJ};var wP;function QJ(r){wP=r.wasm.cwrap(Pn,null,["number","number","number","number","number","number","number","number","number","number"])}function ZJ(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.makeOutput(f,"float32");if(y.sizeFromShape(n.shape)===0)return h;let g=e.dataIdMap.get(n.dataId),x;g.dtype!=="float32"&&(x=ms({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),g=e.dataIdMap.get(x.dataId));let b=g.id,C=e.dataIdMap.get(h.dataId).id;return wP(b,c,l,m,d,p,u,s?1:0,a?1:0,C),x!=null&&e.disposeData(x.dataId),h}var IP={kernelName:Pn,backendName:"wasm",setupFunc:QJ,kernelFunc:ZJ};var vP;function JJ(r){vP=r.wasm.cwrap(Bn,null,["number","array","number","array","number","number"])}function eee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=y.parseAxisParam(s,n.shape);if(n.shape.length===0)return Hu({inputs:{x:n},backend:t});let i=t.makeOutput(n.shape,n.dtype),p=t.dataIdMap.get(n.dataId).id,u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(a).buffer),l=new Uint8Array(new Int32Array(n.shape).buffer);vP(p,c,a.length,l,n.shape.length,u);let m=Lt({inputs:{x:i},attrs:{shape:n.shape},backend:t});return t.disposeData(i.dataId),m}var kP={kernelName:Bn,backendName:"wasm",kernelFunc:eee,setupFunc:JJ};var NP;function tee(r){NP=r.wasm.cwrap(ts,null,["number","number","number","number","number","number","number","number","array","number","number"])}function ree(r){let{inputs:e,backend:t,attrs:o}=r,{image:n}=e,{radians:s,fillValue:a,center:i}=o,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(n.dataId).id,c=t.dataIdMap.get(p.dataId).id,[l,m,d,f]=n.shape,[h,g]=S.getImageCenter(i,m,d),x=a===0,b=255,C=typeof a=="number"?[a,a,a,x?0:b]:[...a,b],w=new Uint8Array(new Int32Array(C).buffer);return NP(u,l,m,d,f,s,h,g,w,C.length,c),p}var TP={kernelName:ts,backendName:"wasm",kernelFunc:ree,setupFunc:tee};var _P=Ve(Vn);var $P=Ve(zn);var EP;function oee(r){EP=r.wasm.cwrap(Wn,null,["number","number","number","number","number","number","array","number","number"])}function nee(r){let{backend:e,inputs:t,attrs:o}=r,{indices:n,updates:s}=t,{shape:a}=o,i=e.makeOutput(a,s.dtype);if(y.sizeFromShape(a)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=sl.calculateShapes(s,n,a),f=e.dataIdMap.get(n.dataId).id,g=e.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(l).buffer),b=e.dataIdMap.get(i.dataId).id;return EP(f,g,Fe[s.dtype],p,u,c,x,m,b),i}var AP={kernelName:Wn,backendName:"wasm",setupFunc:oee,kernelFunc:nee};var RP;function see(r){RP=r.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function aee(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=t.dataIdMap.get(o.dataId).id,i=t.dataIdMap.get(n.dataId).id,p=t.dataIdMap.get(s.dataId).id,u=t.makeOutput(n.shape,n.dtype),c=t.dataIdMap.get(u.dataId).id,l=o.shape.length,m=n.shape.length,d=l===0||l>1||m===1?1:y.sizeFromShape(n.shape.slice(1));return RP(a,i,p,d,c),u}var DP={kernelName:$s,backendName:"wasm",kernelFunc:aee,setupFunc:see};var FP;function iee(r){FP=r.wasm.cwrap(Gn,null,["number","number"])}function uee(r){let{backend:e,inputs:{x:t}}=r,o=e.dataIdMap.get(t.dataId).id,n=e.makeOutput(t.shape,t.dtype),s=e.dataIdMap.get(n.dataId).id;return y.sizeFromShape(n.shape)===0||FP(o,s),n}var OP={kernelName:"Sigmoid",backendName:"wasm",setupFunc:iee,kernelFunc:uee};var PP=Ve(Un);var MP;function pee(r){MP=r.wasm.cwrap(qn,null,["number","number","number","number"])}function cee(r){let{backend:e,inputs:{logits:t},attrs:{dim:o}}=r,n=e.dataIdMap.get(t.dataId).id,s=e.makeOutput(t.shape,t.dtype),a=e.dataIdMap.get(s.dataId).id,i=t.shape[o],p=y.sizeFromShape(t.shape)/i;return y.sizeFromShape(s.shape)===0||MP(n,a,i,p),s}var LP={kernelName:qn,backendName:"wasm",setupFunc:pee,kernelFunc:cee};function lee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o,i=y.sizeFromShape(s),p=[[0,0]];p.push(...a);for(let _=1+s.length;_{let D=S.shape[0],F=S.shape[1],O=C.segment_util.segOpComputeOptimalWindowSize(F,R),M={windowSize:O,inSize:F,batchSize:D,numSegments:R},L=new Ag(M,k),B=t.compileAndRun(L,[S,_],E);if(p.push(B),B.shape[1]===R)return B;let z=fv({backend:t,attrs:{start:0,stop:R,step:1,dtype:"float32"}}),U=hv({inputs:{x:z},backend:t,attrs:{reps:[F/O]}});return p.push(z),p.push(U),g(B,k,U,E,R)},x=g(f,"unsortedSegmentSum",s,h,a),b=te({inputs:{x},backend:t,attrs:{shape:m}}),w=b;if(c!=null){p.push(b);let S=C.getUndoAxesPermutation(c);w=bt({inputs:{x:w},backend:t,attrs:{perm:S}})}return p.forEach(S=>t.disposeIntermediateTensorInfo(S)),w}var G3={kernelName:ji,backendName:"webgl",kernelFunc:vte};var kte=[TD,$D,ED,RD,AD,FD,PD,OD,BD,zD,VD,WD,UD,GD,HD,KD,qD,jD,XD,YD,QD,JD,eA,tA,sA,iA,uA,xD,cA,mA,dA,fA,hA,gA,xA,yA,bA,CA,wA,vA,kA,NA,TA,_A,$A,EA,RA,DA,AA,FA,PA,OA,MA,LA,BA,VA,WA,UA,GA,KA,qA,jA,XA,YA,QA,ZA,JA,eF,gD,tF,lA,rF,oF,nF,yD,sF,aF,iF,uF,pF,cF,lF,mF,dF,fF,gF,xF,yF,bF,CF,wF,IF,kF,NF,TF,_F,$F,FF,wD,PF,OF,MF,LF,rA,BF,WF,UF,GF,HF,bD,KF,qF,jF,XF,YF,oA,EF,QF,ZF,JF,ID,e3,t3,r3,o3,n3,s3,a3,i3,u3,p3,c3,l3,m3,d3,f3,h3,ZD,AF,g3,x3,y3,b3,C3,w3,S3,I3,k3,N3,_3,$3,E3,R3,D3,A3,F3,DF,kD,P3,O3,M3,L3,z3,V3,ND,W3,U3,G3,zF];for(let r of kte)Ya(r);var we;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(we||(we={}));var bu;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})(bu||(bu={}));var H3;function Nte(r){H3=r.wasm.cwrap(bo,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Tte(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e;if(n.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o,m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=0;if(a!=null){let R=t.dataIdMap.get(a.dataId);if(R.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${R.shape.length}.`);f=R.id}let h=i==null?0:t.dataIdMap.get(i.dataId).id,g=bu[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=p?n.shape[2]:n.shape[1],b=u?s.shape[1]:s.shape[2],w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)),S=t.makeOutput([...w,x,b],n.dtype),k=t.dataIdMap.get(S.dataId).id,_=new Uint8Array(new Int32Array(n.shape).buffer),E=new Uint8Array(new Int32Array(s.shape).buffer);return H3(m,_,n.shape.length,d,E,s.shape.length,p,u,g,f,h,l||0,k),S}var K3={kernelName:bo,backendName:"wasm",setupFunc:Nte,kernelFunc:Tte};function Ce(r,e){let t;function o(s){t=s.wasm.cwrap(r,null,["number","number","number"])}function n(s){let{backend:a,inputs:{x:i}}=s,p=a.dataIdMap.get(i.dataId).id,u=a.makeOutput(i.shape,e||i.dtype),c=a.dataIdMap.get(u.dataId).id;return y.sizeFromShape(u.shape)===0||t(p,we[i.dtype],c),u}return{kernelName:r,backendName:"wasm",setupFunc:o,kernelFunc:n}}var q3=Ce(Gs);var j3=Ce(zo);var X3=Ce(Vo);function Je(r,e,t){let o;function n(a){o=a.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(a){let{backend:i,inputs:p}=a,{a:u,b:c}=p,l=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,d=t!=null?t:u.dtype,f=C.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(f,d);if(y.sizeFromShape(f)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=i.dataIdMap.get(h.dataId).id;return(()=>o(l,g,u.shape.length,m,x,c.shape.length,we[u.dtype],b))(),h}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:s}}var _te=!0,Y3=Je(no,_te);var Q3;function $te(r){Q3=r.wasm.cwrap(Wo,null,["array","number","number","number"])}function Ete(r){let{inputs:e,backend:t}=r,o=t.makeOutput(e[0].shape,e[0].dtype);if(y.sizeFromShape(o.shape)===0)return o;let n=e.map(i=>t.dataIdMap.get(i.dataId).id),s=new Uint8Array(new Int32Array(n).buffer),a=t.dataIdMap.get(o.dataId).id;return Q3(s,n.length,we[o.dtype],a),o}var Z3={kernelName:Wo,backendName:"wasm",setupFunc:$te,kernelFunc:Ete};function vp(r){let{inputs:{x:e},backend:t}=r;if(e.dtype==="string")return ir(t.readSync(e.dataId),e.shape,e.dtype);let o=t.makeOutput(e.shape,e.dtype),n=t.typedArrayFromHeap(e);return t.typedArrayFromHeap(o).set(n),o}var J3={kernelName:xo,backendName:"wasm",kernelFunc:vp};var eP;function Rte(r){eP=r.wasm.cwrap(ao,null,["number","array","number","number","number","array","number"])}function mo(r){let{inputs:e,backend:t,attrs:o}=r,[n,s]=Ate(e.x.shape,o.perm),a=!0;for(let f=0;f=n&&(s===-1||o[s]>o[a])&&(s=a);o[s]=n}return[t,o]}var tP={kernelName:ao,backendName:"wasm",kernelFunc:mo,setupFunc:Rte};function Tr(r,e,t){let o=r.shape,n=r.shape.length,s=y.parseAxisParam(e,o),a=s,i=C.getAxesPermutation(a,n),p=null,u=!1;if(i!=null){let c=new Array(n);for(let d=0;d`new shape: ${a}, old shape: ${o.shape}. New shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var bP={kernelName:ia,backendName:"wasm",kernelFunc:zt};var CP;function Gte(r){CP=r.wasm.cwrap(Qo,null,["number","array","number","number","array","number","number","number","number"])}function Hte(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;if(n.dtype!=="float32"||s.dtype!=="float32")throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");let p=n.shape.length,u=s.shape.length,c=a?n.shape[p-2]:n.shape[p-1],l=i?s.shape[u-1]:s.shape[u-2],m=a?n.shape[p-1]:n.shape[p-2],d=i?s.shape[u-2]:s.shape[u-1],f=n.shape.slice(0,-2),h=s.shape.slice(0,-2),g=y.sizeFromShape(f),x=y.sizeFromShape(h),w=Sr.assertAndGetBroadcastShape(n.shape.slice(0,-2),s.shape.slice(0,-2)).concat([m,d]);y.assert(c===l,()=>`Error in matMul: inner shapes (${c}) and (${l}) of Tensors with shapes ${n.shape} and ${s.shape} and transposeA=${a} and transposeB=${i} must match.`);let S=a?[g,c,m]:[g,m,c],k=i?[x,d,l]:[x,l,d],_=zt({inputs:{x:n},backend:t,attrs:{shape:S}}),E=zt({inputs:{x:s},backend:t,attrs:{shape:k}}),R=t.dataIdMap.get(_.dataId).id,D=t.dataIdMap.get(E.dataId).id,F=a?_.shape[2]:_.shape[1],O=i?E.shape[1]:E.shape[2],M=Math.max(g,x),L=t.makeOutput([M,F,O],_.dtype),B=t.dataIdMap.get(L.dataId).id,z=new Uint8Array(new Int32Array(_.shape).buffer),U=new Uint8Array(new Int32Array(E.shape).buffer);return CP(R,z,_.shape.length,D,U,E.shape.length,a,i,B),t.disposeData(_.dataId),t.disposeData(E.dataId),L.shape=w,L}var wP={kernelName:Qo,backendName:"wasm",setupFunc:Gte,kernelFunc:Hte};function Ao(r){let{inputs:{x:e},attrs:{begin:t,size:o},backend:n}=r,[s,a]=ct.parseSliceParams(e,t,o),i=ct.isSliceContinous(e.shape,s,a),p=n.readSync(e.dataId),u=n.makeOutput(a,e.dtype),c=y.computeStrides(e.shape),l=n.dataIdMap.get(u.dataId);if(i){let f=ct.computeFlatOffset(s,c);return e.dtype==="string"?l.stringBytes=p.slice(f,f+y.sizeFromShape(a)):n.typedArrayFromHeap(u).set(p.subarray(f,f+y.sizeFromShape(a))),u}if(e.dtype==="string"){let f=ip(p,s,a,e.shape,e.dtype);return l.stringBytes=f,u}let m=n.typedArrayFromHeap(u),d=e.shape.length;if(d===2)Kte(p,c[0],m,s,a);else if(d===3)qte(p,c[0],c[1],m,s,a);else if(d===4)jte(p,c[0],c[1],c[2],m,s,a);else{let f=ip(p,s,a,e.shape,e.dtype);m.set(f)}return u}function Kte(r,e,t,o,n){let s=0,a=o[0],i=o[1],p=a+n[0];for(let u=a;ux*b),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=zt({inputs:{x:n},backend:t,attrs:{shape:p}}),f=mo({inputs:{x:d},backend:t,attrs:{perm:u}}),h=zt({inputs:{x:f},backend:t,attrs:{shape:c}}),g=Ao({inputs:{x:h},backend:t,attrs:{begin:l,size:m}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(d.dataId),g}var IP={kernelName:js,backendName:"wasm",kernelFunc:Xte};var vP;function Yte(r){vP=r.wasm.cwrap(Zo,null,["number","number","boolean","number","number","number"])}function Qte(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,weights:s}=t,{size:a}=o,i=s.shape.reduce((l,m)=>l*m,1)!==0,p=n.shape.length===1?[a]:[n.shape[0],a],u=e.makeOutput(p,s.dtype);function c(l){return e.dataIdMap.get(l.dataId).id}return vP(c(n),a,i,c(s),we[s.dtype],c(u)),u}var kP={kernelName:Zo,backendName:"wasm",setupFunc:Yte,kernelFunc:Qte};function Zte(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e,s=t.typedArrayFromHeap(o),a=t.typedArrayFromHeap(n),i=C.assertAndGetBroadcastShape(Array.from(s),Array.from(a));return t.makeOutput([i.length],"int32",void 0,new Int32Array(i))}var NP={kernelName:Xs,backendName:"wasm",kernelFunc:Zte};function Pr(r){let{inputs:{x:e},attrs:{dtype:t},backend:o}=r,n=o.makeOutput(e.shape,t),s=o.typedArrayFromHeap(e);return o.typedArrayFromHeap(n).set(s),n}var TP={kernelName:ho,backendName:"wasm",kernelFunc:Pr};var _P=Ce(Jo);var $P;function Jte(r){$P=r.wasm.cwrap(go,null,["number","number","number","number"])}function ere(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i=t.dataIdMap.get(n.dataId).id,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(p.dataId).id;return $P(i,s,a,u),p}var EP={kernelName:go,backendName:"wasm",setupFunc:Jte,kernelFunc:ere};function gv(r){let{inputs:e,backend:t}=r,o=y.parseAxisParam(r.attrs.axis,e[0].shape)[0],n=e.map(d=>d.shape);C.assertParamsConsistent(n,o);let s=C.computeOutShape(e.map(d=>d.shape),o),a=e.filter(d=>y.sizeFromShape(d.shape)>0);if(a.length===1)return vp({inputs:{x:a[0]},backend:t});let i=t.makeOutput(s,e[0].dtype);if(y.sizeFromShape(s)===0)return i;if(a[0].dtype==="string"){let d=a.map(w=>{let k=[-1,y.sizeFromShape(w.shape.slice(o))];return zt({inputs:{x:w},backend:t,attrs:{shape:k}})}),f=d.map(w=>({vals:t.readSync(w.dataId),shape:w.shape}));s=C.computeOutShape(d.map(w=>w.shape),1);let h=d[0].shape[0]===1,g=np(f,s,e[0].dtype,h),x=C.computeOutShape(a.map(w=>w.shape),o);i.shape=x;let b=t.dataIdMap.get(i.dataId);return b.stringBytes=C.fromStringArrayToUint8(g),d.forEach(w=>t.disposeData(w.dataId)),i}let p=y.sizeFromShape(a[0].shape.slice(0,o)),u=0,c=a.map(d=>{let f=y.sizeFromShape(d.shape.slice(o));return u+=f,f}),l=a.map(d=>t.typedArrayFromHeap(d)),m=t.typedArrayFromHeap(i);for(let d=0;d`cumprod does not support ${n.dtype} tensors in the WASM backend`);let u=C.getAxesPermutation([s],p),c=n;u!==null&&(c=mo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=C.getInnerMostAxes(1,p)[0];C.assertAxesAreInnerMostDims("cumprod",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;KP(f,a?1:0,i?1:0,d,h,we[n.dtype]);let g=m;if(u!==null){let x=C.getUndoAxesPermutation(u);g=mo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var qP={kernelName:an,backendName:"wasm",setupFunc:dre,kernelFunc:fre};var jP;function hre(r){jP=r.wasm.cwrap(un,null,["number","number","number","number","number","number"])}function gre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o,p=n.shape.length;y.assert(n.dtype==="float32"||n.dtype==="int32",()=>`cumsum does not support ${n.dtype} tensors in the WASM backend`);let u=C.getAxesPermutation([s],p),c=n;u!==null&&(c=mo({inputs:{x:n},attrs:{perm:u},backend:t}));let l=C.getInnerMostAxes(1,p)[0];C.assertAxesAreInnerMostDims("cumsum",[l],p);let m=t.makeOutput(c.shape,c.dtype),d=c.shape[l],f=t.dataIdMap.get(c.dataId).id,h=t.dataIdMap.get(m.dataId).id;jP(f,a?1:0,i?1:0,d,h,we[n.dtype]);let g=m;if(u!==null){let x=C.getUndoAxesPermutation(u);g=mo({inputs:{x:m},attrs:{perm:x},backend:t}),t.disposeData(c.dataId),t.disposeData(m.dataId)}return g}var XP={kernelName:un,backendName:"wasm",setupFunc:hre,kernelFunc:gre};var YP;function xre(r){YP=r.wasm.cwrap("DenseBincount",null,["number","array","number","number","boolean","number","number","boolean","number"])}function yre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,weights:s}=t,{size:a,binaryOutput:i}=o,p=s.shape.reduce((m,d)=>m*d,1)!==0,u=n.shape.length===1?[a]:[n.shape[0],a],c=e.makeOutput(u,s.dtype);function l(m){return e.dataIdMap.get(m.dataId).id}return YP(l(n),new Uint8Array(new Int32Array(n.shape).buffer),n.shape.length,a,p,l(s),we[s.dtype],i,l(c)),c}var QP={kernelName:Qs,backendName:"wasm",setupFunc:xre,kernelFunc:yre};var ZP;function bre(r){ZP=r.wasm.cwrap(cn,null,["number","number","number","array","number","array","array","number","number"])}function Cre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=e.makeOutput(f,"float32"),x=e.dataIdMap.get(n.dataId).id,b=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),w=new Uint8Array(new Int32Array(f).buffer),S=new Uint8Array(new Int32Array(y.computeStrides(f)).buffer),k=e.dataIdMap.get(h.dataId).id;return ZP(x,s,a==="NHWC"?1:0,b,n.shape.length-1,w,S,f.length,k),h}var JP={kernelName:cn,backendName:"wasm",setupFunc:bre,kernelFunc:Cre};var eO;function wre(r){eO=r.wasm.cwrap(ln,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Sre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,a=o.dataIdMap.get(n.dataId).id,i=o.dataIdMap.get(s.dataId).id,{strides:p,dilations:u,pad:c,dimRoundingMode:l}=t,m=u==null?[1,1]:u,d=C.computeConv2DInfo(n.shape,s.shape,p,m,c,l,!0),f=d.filterHeight,h=d.filterWidth,g=d.padInfo.top,x=d.padInfo.right,b=d.padInfo.bottom,w=d.padInfo.left,S=d.dilationHeight,k=d.dilationWidth,_=d.strideHeight,E=d.strideWidth,R=d.inChannels,D=d.outChannels,F=d.padInfo.type==="SAME"?1:0;if(d.dataFormat!=="channelsLast")throw new Error(`wasm backend DepthwiseConv2dNative does not support dataFormat:'${d.dataFormat}'. Please use 'channelsLast'.`);let O=o.makeOutput(d.outShape,"float32"),M=o.dataIdMap.get(O.dataId).id;return eO(a,n.shape[0],n.shape[1],n.shape[2],i,f,h,g,x,b,w,F,S,k,_,E,R,D,M),O}var tO={kernelName:ln,backendName:"wasm",setupFunc:wre,kernelFunc:Sre};var rO;function Ire(r){rO=r.wasm.cwrap("Diag",null,["number","number","number","number"])}function vre(r){let{inputs:e,backend:t}=r,{x:o}=e,n=y.sizeFromShape(o.shape),s=t.makeOutput([...o.shape,...o.shape],o.dtype);return rO(t.dataIdMap.get(o.dataId).id,we[o.dtype],n,t.dataIdMap.get(s.dataId).id),s}var oO={kernelName:Zs,backendName:"wasm",setupFunc:Ire,kernelFunc:vre};var nO;function kre(r){nO=r.wasm.cwrap(mn,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Nre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o;if(n.dtype!==s.dtype)throw new Error(`Dilation2D error: x must have the same dtype as filter. Got ${n.dtype} and ${s.dtype}`);let u=C.computeDilation2DInfo(n.shape,s.shape,a,i,"NHWC",p),c=t.makeOutput(u.outShape,n.dtype);return nO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(c.dataId).id,we[n.dtype],u.batchSize,u.inChannels,u.inHeight,u.inWidth,u.outHeight,u.outWidth,u.strideHeight,u.strideWidth,u.dilationHeight,u.dilationWidth,u.filterHeight,u.filterWidth,u.padInfo.top,u.padInfo.left),c}var sO={kernelName:mn,backendName:"wasm",setupFunc:kre,kernelFunc:Nre};var aO;function Tre(r){aO=r.wasm.cwrap(Ai,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function _re(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o;if(n.dtype!==s.dtype||n.dtype!==a.dtype)throw new Error(`Dilation2DBackpropFilter error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`);let c=C.computeDilation2DInfo(n.shape,s.shape,i,p,"NHWC",u),l=t.makeOutput(s.shape,s.dtype);return aO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,we[n.dtype],c.batchSize,c.inChannels,c.inHeight,c.inWidth,c.outHeight,c.outWidth,c.strideHeight,c.strideWidth,c.dilationHeight,c.dilationWidth,c.filterHeight,c.filterWidth,c.padInfo.top,c.padInfo.left),l}var iO={kernelName:Ai,backendName:"wasm",setupFunc:Tre,kernelFunc:_re};var uO;function $re(r){uO=r.wasm.cwrap(Di,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Ere(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o;if(n.dtype!==s.dtype||n.dtype!==a.dtype)throw new Error(`Dilation2DBackpropInput error: x must have the same dtype as filter and dy. Got ${n.dtype}, ${s.dtype}, and ${a.dtype}`);let c=C.computeDilation2DInfo(n.shape,s.shape,i,p,"NHWC",u),l=t.makeOutput(n.shape,n.dtype);return uO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,we[n.dtype],c.batchSize,c.inChannels,c.inHeight,c.inWidth,c.outHeight,c.outWidth,c.strideHeight,c.strideWidth,c.dilationHeight,c.dilationWidth,c.filterHeight,c.filterWidth,c.padInfo.top,c.padInfo.left),l}var pO={kernelName:Di,backendName:"wasm",setupFunc:$re,kernelFunc:Ere};var cO=Ce(fn);var lO;function Rre(r){lO=r.wasm.cwrap(Va,null,["number","number","number"])}function Dre(r){let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=t.makeOutput(n.shape,"float32"),a=i=>t.dataIdMap.get(i.dataId).id;return lO(a(n),a(o),a(s)),s}var mO={kernelName:Va,backendName:"wasm",setupFunc:Rre,kernelFunc:Dre};var Are=!1,dO=Je(hn,Are,"bool");var fO=Ce(gn,"float32");function Pg(r){let{inputs:e,attrs:t,backend:o}=r,{input:n}=e,{dim:s}=t,a=n.shape.length,i=n.shape.slice(),p=s;return s<0&&(y.assert(-(a+1)<=s,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+s+1),i.splice(p,0,1),zt({inputs:{x:n},backend:o,attrs:{shape:i}})}var hO={kernelName:Js,backendName:"wasm",kernelFunc:Pg};var gO=Ce(xn,"float32");function yv(r){let{attrs:{shape:e,value:t,dtype:o},backend:n}=r,s=n.makeOutput(e,o);return n.typedArrayFromHeap(s).fill(t),s}var xO={kernelName:ea,backendName:"wasm",kernelFunc:yv};var yO;function Fre(r){yO=r.wasm.cwrap(yn,null,["number","number","number","number","number","number"])}function Pre(r){let{inputs:e,backend:t}=r,{image:o}=e,n=t.makeOutput(o.shape,o.dtype),s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,[i,p,u,c]=o.shape;return yO(s,i,p,u,c,a),n}var bO={kernelName:yn,backendName:"wasm",kernelFunc:Pre,setupFunc:Fre};var CO=Ce(bn);var Ore=!1,wO=Je(Cn,Ore);var SO;function Mre(r){SO=r.wasm.cwrap(wn,null,["number","number","number","number","number","number","number"])}function Lre(r){let{backend:e,inputs:t,attrs:o}=r,{varianceEpsilon:n}=o,{x:s,mean:a,variance:i,offset:p,scale:u}=t,c=e.dataIdMap.get(s.dataId).id,l=e.dataIdMap.get(a.dataId).id,m=e.dataIdMap.get(i.dataId).id,d=p!=null?e.dataIdMap.get(p.dataId).id:0,f=u!=null?e.dataIdMap.get(u.dataId).id:0,h=e.makeOutput(s.shape,s.dtype);if(y.sizeFromShape(s.shape)===0)return h;let g=e.dataIdMap.get(h.dataId).id;return SO(c,l,m,d,f,n,g),h}var IO={kernelName:wn,backendName:"wasm",setupFunc:Mre,kernelFunc:Lre};var vO;function Bre(r){vO=r.wasm.cwrap(Co,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function zre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=C.computeConv2DInfo(n.shape,s.shape,p,c,u,m),g=bu[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,w=h.outChannels,S=0;if(a!=null){let ee=o.dataIdMap.get(a.dataId);if(ee.shape.length!==1)throw new Error(`FusedConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`);if(ee.shape[0]!==w)throw new Error(`FusedConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`);S=ee.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,R=h.padInfo.right,D=h.padInfo.bottom,F=h.padInfo.left,O=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,B=h.strideWidth,z=h.inChannels,U=h.padInfo.type==="SAME"?1:0,j=h.batchSize,H=h.inHeight,X=h.inWidth;if(l!=="NHWC")throw new Error(`wasm backend FusedConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let J=o.makeOutput(h.outShape,"float32"),re=o.dataIdMap.get(J.dataId).id,ne=i==null?0:o.dataIdMap.get(i.dataId).id;return vO(x,j,H,X,b,k,_,S,E,R,D,F,U,O,M,L,B,z,w,g,ne,f||0,re),J}var kO={kernelName:Co,backendName:"wasm",setupFunc:Bre,kernelFunc:zre};var NO;function Vre(r){NO=r.wasm.cwrap(wo,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function Wre(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dataFormat:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=t,h=C.computeConv2DInfo(n.shape,s.shape,p,c,u,m,!0),g=bu[d];if(g==null)throw new Error(`${d} activation not yet supported for FusedDepthwiseConv2D in the wasm backend.`);let x=o.dataIdMap.get(n.dataId).id,b=o.dataIdMap.get(s.dataId).id,w=h.outChannels,S=0;if(a!=null){let ee=o.dataIdMap.get(a.dataId);if(ee.shape.length!==1)throw new Error(`FusedDepthwiseConv2D only supports rank-1 bias but got rank ${ee.shape.length}.`);if(ee.shape[0]!==w)throw new Error(`FusedDepthwiseConv2D bias shape (${ee.shape}) does not match the number of output channels (${w})`);S=ee.id}let k=h.filterHeight,_=h.filterWidth,E=h.padInfo.top,R=h.padInfo.right,D=h.padInfo.bottom,F=h.padInfo.left,O=h.dilationHeight,M=h.dilationWidth,L=h.strideHeight,B=h.strideWidth,z=h.inChannels,U=h.padInfo.type==="SAME"?1:0,j=h.batchSize,H=h.inHeight,X=h.inWidth;if(l!=="NHWC")throw new Error(`wasm backend FusedDepthwiseConv2D does not support dataFormat:'${l}'. Please use 'NHWC'.`);let J=o.makeOutput(h.outShape,"float32"),re=o.dataIdMap.get(J.dataId).id,ne=i==null?0:o.dataIdMap.get(i.dataId).id;return NO(x,j,H,X,b,k,_,S,E,R,D,F,U,O,M,L,B,z,w,g,ne,f||0,re),J}var TO={kernelName:wo,backendName:"wasm",setupFunc:Vre,kernelFunc:Wre};var _O;function Ure(r){_O=r.wasm.cwrap(Sn,null,["number","number","number","number","number","number","array","number"])}function Gre(r){let{backend:e,inputs:t}=r,{params:o,indices:n}=t,[s,a,i,p]=of.prepareAndValidate(o,n),u=e.makeOutput(s,o.dtype);if(a===0)return u;let c=n.shape,l=c[c.length-1],d=e.dataIdMap.get(o.dataId).id,h=e.dataIdMap.get(n.dataId).id,g=new Uint8Array(new Int32Array(p).buffer),x=e.dataIdMap.get(u.dataId).id;return _O(d,we[o.dtype],h,a,l,i,g,x),u}var $O={kernelName:Sn,backendName:"wasm",setupFunc:Ure,kernelFunc:Gre};var EO;function Hre(r){EO=r.wasm.cwrap("Gather",null,["number","number","array","number","number","number","array","number"])}function Kre(r){let{backend:e,inputs:t,attrs:o}=r,{x:n,indices:s}=t,{axis:a,batchDims:i}=o,p=y.parseAxisParam(a,n.shape)[0],u=e.readSync(s.dataId),c=n.shape[p];for(let D=0;D=0,()=>`GatherV2: the index value ${F} is not in [0, ${c-1}]`)}let l=C.segment_util.collectGatherOpShapeInfo(n,s,p,i),m=zt({inputs:{x:n},attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]},backend:e}),d=y.sizeFromShape(s.shape),f=zt({inputs:{x:s},attrs:{shape:[l.batchSize,d/l.batchSize]},backend:e}),h=[l.batchSize,l.outerSize,d/l.batchSize,l.sliceSize],g=e.makeOutput(h,n.dtype);if(y.sizeFromShape(n.shape)===0)return g;let x=m.shape.length-1,w=e.dataIdMap.get(m.dataId).id,k=e.dataIdMap.get(f.dataId).id,_=e.dataIdMap.get(g.dataId).id,E=new Uint8Array(new Int32Array(y.computeStrides(m.shape)).buffer),R=new Uint8Array(new Int32Array(y.computeStrides(h)).buffer);return EO(w,we[n.dtype],E,x,k,l.batchSize,R,_),e.disposeData(m.dataId),e.disposeData(f.dataId),g.shape=l.outputShape,g}var RO={kernelName:ta,backendName:"wasm",setupFunc:Hre,kernelFunc:Kre};var qre=!1,DO=Je(In,qre,"bool");var jre=!1,AO=Je(vn,jre,"bool");var FO=Ce(kn,"bool");var PO=Ce(Nn,"bool");var OO=Ce(Tn,"bool");var MO;function Xre(r){MO=r.wasm.cwrap(_n,null,["number","number","number","number"])}function Yre(r){let{inputs:{x:e},attrs:{alpha:t},backend:o}=r,n=o.dataIdMap.get(e.dataId).id,s=o.makeOutput(e.shape,"float32");if(y.sizeFromShape(e.shape)!==0){let a=o.dataIdMap.get(s.dataId).id;MO(n,we[e.dtype],t,a)}return s}var LO={kernelName:_n,backendName:"wasm",setupFunc:Xre,kernelFunc:Yre};var Qre=!1,BO=Je($n,Qre,"bool");var Zre=!1,zO=Je(En,Zre,"bool");var VO;function Jre(r){VO=r.wasm.cwrap(Rn,null,["number","number","number","number"])}function eoe(r){let{attrs:e,backend:t}=r,{start:o,stop:n,num:s}=e,a=Math.floor(s),i=t.makeOutput([a],"float32");return VO(t.dataIdMap.get(i.dataId).id,o,n,a),i}var WO={kernelName:Rn,backendName:"wasm",setupFunc:Jre,kernelFunc:eoe};var UO=Ce(Dn);var GO=Ce(An);var toe=!1,HO=Je(Fn,toe,"bool");var KO=Ce(Pn);var roe=!1,qO=Je(On,roe,"bool");var ooe=!1,jO=Je(m0,ooe,"bool");var XO;function noe(r){XO=r.wasm.cwrap(Mn,null,["number","number","number","number","number","number","number"])}function soe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o;if(n.dtype!=="float32")throw new Error("LRN error: x must have dtype float32");let u=t.makeOutput(n.shape,n.dtype);return XO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(u.dataId).id,n.shape[3],s,a,i,p),u}var YO={kernelName:Mn,backendName:"wasm",setupFunc:noe,kernelFunc:soe};var QO;function aoe(r){QO=r.wasm.cwrap(Ua,null,["number","number","number","number","number","number","number","number","number"])}function ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o;if(n.dtype!=="float32"||s.dtype!=="float32"||a.dtype!=="float32")throw new Error("LRNGrad error: x, y, and dy must have dtype float32");let l=t.makeOutput(n.shape,n.dtype);return QO(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(a.dataId).id,t.dataIdMap.get(l.dataId).id,a.shape[3],i,p,u,c),l}var ZO={kernelName:Ua,backendName:"wasm",setupFunc:aoe,kernelFunc:ioe};var JO;function uoe(r){JO=r.wasm.cwrap(Ln,null,["number","number","number","number"])}function poe(r){let{backend:e,inputs:t,attrs:o}=r,{reductionIndices:n,keepDims:s}=o,{x:a}=t,p=e.dataIdMap.get(a.dataId).id,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e);if(d){let w=e.dataIdMap.get(c.dataId).id;u=c,p=w}let f=u.shape.length;C.assertAxesAreInnerMostDims("max",l,f);let[h,g]=C.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,a.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;JO(p,we[a.dtype],x,w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var eM={kernelName:Ln,backendName:"wasm",setupFunc:uoe,kernelFunc:poe};var coe=!1,tM=Je(Bn,coe);var rM;function loe(r){rM=r.wasm.cwrap(zn,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function moe(r){let{inputs:e,attrs:t,backend:o}=r,n=e.x,s=o.dataIdMap.get(n.dataId).id;y.assert(n.dtype==="float32",()=>`Error in MaxPool: only float32 input is supported. Got ${n.dtype}.`);let{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=t,c=C.computePool2DInfo(n.shape,a,i,1,p,u),l=c.filterHeight,m=c.filterWidth,d=c.padInfo.top,f=c.padInfo.right,h=c.padInfo.bottom,g=c.padInfo.left,x=c.dilationHeight,b=c.dilationWidth,w=c.strideHeight,S=c.strideWidth,k=c.inChannels,_=c.outChannels;if(c.dataFormat!=="channelsLast")throw new Error(`wasm backend does not support dataFormat:'${c.dataFormat}'. Please use 'channelsLast'.`);let E=o.makeOutput(c.outShape,"float32"),R=o.dataIdMap.get(E.dataId).id;return rM(s,n.shape[0],n.shape[1],n.shape[2],l,m,d,f,h,g,x,b,w,S,k,_,R),E}var oM={kernelName:zn,backendName:"wasm",setupFunc:loe,kernelFunc:moe};var nM;function doe(r){nM=r.wasm.cwrap("MaxPool3D",null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function foe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p,dataFormat:u}=o,c=C.computePool3DInfo(n.shape,s,a,1,i,p,u),l=t.makeOutput(c.outShape,n.dtype);return nM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(l.dataId).id,c.batchSize,c.inChannels,c.inDepth,c.inHeight,c.inWidth,c.outDepth,c.outHeight,c.outWidth,c.strideDepth,c.strideHeight,c.strideWidth,c.dilationDepth,c.dilationHeight,c.dilationWidth,c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth,c.padInfo.front,c.padInfo.top,c.padInfo.left),l}var sM={kernelName:ra,backendName:"wasm",setupFunc:doe,kernelFunc:foe};var aM;function hoe(r){aM=r.wasm.cwrap("MaxPool3DGrad",null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])}function goe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,{filterSize:a,strides:i,pad:p,dimRoundingMode:u}=o,c=C.computePool3DInfo(s.shape,a,i,1,p,u),l=t.makeOutput(s.shape,s.dtype);return aM(t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(l.dataId).id,c.batchSize,c.inChannels,c.inDepth,c.inHeight,c.inWidth,c.outDepth,c.outHeight,c.outWidth,c.strideDepth,c.strideHeight,c.strideWidth,c.dilationDepth,c.dilationHeight,c.dilationWidth,c.effectiveFilterDepth,c.effectiveFilterHeight,c.effectiveFilterWidth,c.padInfo.front,c.padInfo.top,c.padInfo.left),l}var iM={kernelName:Li,backendName:"wasm",setupFunc:hoe,kernelFunc:goe};var uM;function xoe(r){uM=r.wasm.cwrap(Vn,null,["number, number, number"])}function yoe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let S=e.dataIdMap.get(c.dataId).id;S!==i&&(u=c,p=S,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims("mean",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=u;u.dtype!=="float32"&&(b=Pr({backend:e,inputs:{x:u},attrs:{dtype:"float32"}}),p=e.dataIdMap.get(b.dataId).id);let w=e.makeOutput(h,"float32");if(y.sizeFromShape(u.shape)!==0){let S=e.dataIdMap.get(w.dataId).id;uM(p,x,S)}if(d&&e.disposeData(c.dataId),s){let S=C.expandShapeToKeepDim(w.shape,m);w.shape=S}return u.dtype!=="float32"&&e.disposeData(b.dataId),w}var pM={kernelName:Vn,backendName:"wasm",setupFunc:xoe,kernelFunc:yoe};var cM;function boe(r){cM=r.wasm.cwrap(Wn,null,["number","number","number","number"])}function Coe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e);if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w)}let f=u.shape.length;C.assertAxesAreInnerMostDims("min",l,f);let[h,g]=C.computeOutAndReduceShapes(u.shape,l),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;cM(p,we[a.dtype],x,w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var lM={kernelName:Wn,backendName:"wasm",setupFunc:boe,kernelFunc:Coe};var woe=!1,mM=Je(Un,woe);var bv;(function(r){r[r.reflect=0]="reflect",r[r.symmetric=1]="symmetric"})(bv||(bv={}));var dM;function Soe(r){dM=r.wasm.cwrap(Gn,null,["number","array","number","number","array","array","number","number"])}function Ioe(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,mode:n}}=r,s=o.map((f,h)=>f[0]+e.shape[h]+f[1]),a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),p=t.dataIdMap.get(i.dataId).id,u=new Uint8Array(new Int32Array(e.shape).buffer),c=o.map(f=>f[0]),l=o.map(f=>f[1]),m=new Uint8Array(new Int32Array(c).buffer),d=new Uint8Array(new Int32Array(l).buffer);return dM(a,u,e.shape.length,we[e.dtype],m,d,bv[n],p),i}var fM={kernelName:Gn,backendName:"wasm",kernelFunc:Ioe,setupFunc:Soe};var hM;function voe(r){hM=r.wasm.cwrap(bs,null,["number","number","number","number"])}function Cv(r){let{backend:e,inputs:{logits:t},attrs:{dim:o}}=r,n=e.dataIdMap.get(t.dataId).id,s=e.makeOutput(t.shape,t.dtype),a=e.dataIdMap.get(s.dataId).id,i=t.shape[o],p=y.sizeFromShape(t.shape)/i;return y.sizeFromShape(s.shape)===0||hM(n,a,i,p),s}var gM={kernelName:bs,backendName:"wasm",setupFunc:voe,kernelFunc:Cv};var xM;function koe(r){xM=r.wasm.cwrap(Hn,null,["number","number","number","number","number","number"])}function Noe(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o;if(n.dtype!=="float32")throw new Error(`Tensor logits must have dtype float32, got ${n.dtype}`);let p=i?n:Cv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),[u,c]=p.shape,l=t.makeOutput([u,s],"int32");return xM(t.dataIdMap.get(p.dataId).id,u,c,s,a,t.dataIdMap.get(l.dataId).id),i||t.disposeData(p.dataId),l}var yM={kernelName:Hn,backendName:"wasm",setupFunc:koe,kernelFunc:Noe};var Toe=!0,bM=Je(Kn,Toe);var CM=Ce(oa);function Hc(r,e){let t=new Int32Array(r.wasm.HEAPU8.buffer,e,4),o=t[0],n=t[1],s=t[2],a=t[3];return r.wasm._free(e),{pSelectedIndices:o,selectedSize:n,pSelectedScores:s,pValidOutputs:a}}var wM;function _oe(r){wM=r.wasm.cwrap(jn,"number",["number","number","number","number","number"])}function $oe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a}=o,{boxes:i,scores:p}=t,u=e.dataIdMap.get(i.dataId).id,c=e.dataIdMap.get(p.dataId).id,l=wM(u,c,s,n,a),{pSelectedIndices:m,selectedSize:d,pSelectedScores:f,pValidOutputs:h}=Hc(e,l);return e.wasm._free(f),e.wasm._free(h),e.makeOutput([d],"int32",m)}var SM={kernelName:jn,backendName:"wasm",setupFunc:_oe,kernelFunc:$oe};var IM;function Eoe(r){IM=r.wasm.cwrap(Ha,"number",["number","number","number","number","number","bool"])}function Roe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,padToMaxOutputSize:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=IM(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=Hc(e,m);e.wasm._free(h);let x=e.makeOutput([f],"int32",d),b=e.makeOutput([],"int32",g);return[x,b]}var vM={kernelName:Ha,backendName:"wasm",setupFunc:Eoe,kernelFunc:Roe};var kM;function Doe(r){kM=r.wasm.cwrap(Xn,"number",["number","number","number","number","number","number"])}function Aoe(r){let{backend:e,inputs:t,attrs:o}=r,{iouThreshold:n,maxOutputSize:s,scoreThreshold:a,softNmsSigma:i}=o,{boxes:p,scores:u}=t,c=e.dataIdMap.get(p.dataId).id,l=e.dataIdMap.get(u.dataId).id,m=kM(c,l,s,n,a,i),{pSelectedIndices:d,selectedSize:f,pSelectedScores:h,pValidOutputs:g}=Hc(e,m);e.wasm._free(g);let x=e.makeOutput([f],"int32",d),b=e.makeOutput([f],"float32",h);return[x,b]}var NM={kernelName:Xn,backendName:"wasm",setupFunc:Doe,kernelFunc:Aoe};var Foe=!1,TM=Je(qn,Foe,"bool");var _M;function Poe(r){_M=r.wasm.cwrap(Yn,null,["number","number","number","number","number"])}function Ooe(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=t.makeOutput([...n.shape,a],s),c=t.dataIdMap.get(u.dataId).id,m=t.dataIdMap.get(n.dataId).id;return _M(m,a,i,p,c),u}var $M={kernelName:Yn,backendName:"wasm",setupFunc:Poe,kernelFunc:Ooe};function Moe(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(1),o}var EM={kernelName:na,backendName:"wasm",kernelFunc:Moe};function Loe(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Pg({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=Pg({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=gv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var RM={kernelName:sa,backendName:"wasm",kernelFunc:Loe};var DM;function Boe(r){DM=r.wasm.cwrap(Qn,null,["number","array","number","number","array","array","number","number"])}function zoe(r){let{inputs:{x:e},backend:t,attrs:{paddings:o,constantValue:n}}=r,s=o.map((h,g)=>h[0]+e.shape[g]+h[1]);if(y.sizeFromShape(e.shape)===0)return yv({backend:t,attrs:{shape:s,value:n,dtype:e.dtype}});let a=t.dataIdMap.get(e.dataId).id,i=t.makeOutput(s,e.dtype),u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(e.shape).buffer),l=o.map(h=>h[0]),m=o.map(h=>h[1]),d=new Uint8Array(new Int32Array(l).buffer),f=new Uint8Array(new Int32Array(m).buffer);return DM(a,c,e.shape.length,we[e.dtype],d,f,n,u),i}var Og={kernelName:Qn,backendName:"wasm",kernelFunc:zoe,setupFunc:Boe};var Voe=!1,AM=Je(Zn,Voe);var FM;function Woe(r){FM=r.wasm.cwrap(Jn,null,["number","number","number"])}function Uoe(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=t.dataIdMap.get(o.dataId).id,a=t.dataIdMap.get(n.dataId).id,i=s,p=o,u=p;p.dtype!=="float32"&&(u=Pr({backend:t,inputs:{x:o},attrs:{dtype:"float32"}}),i=t.dataIdMap.get(u.dataId).id);let c=t.makeOutput(o.shape,"float32"),l=t.dataIdMap.get(c.dataId).id;return FM(i,a,l),p.dtype!=="float32"&&t.disposeData(u.dataId),c}var PM={kernelName:Jn,backendName:"wasm",setupFunc:Woe,kernelFunc:Uoe};var OM;function Goe(r){OM=r.wasm.cwrap(es,null,["number","number","number","number"])}function Hoe(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims("prod",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;OM(p,x,we[b.dtype],w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var MM={kernelName:es,backendName:"wasm",setupFunc:Goe,kernelFunc:Hoe};var Koe=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=ap(o,n,s,a),p=e.makeOutput([i.length],a);return e.typedArrayFromHeap(p).set(i),p},LM={kernelName:aa,backendName:"wasm",kernelFunc:Koe};var qoe=!0,BM=Je(dn,qoe);var zM=Ce(ts);var VM=Ce(rs);var WM=Ce(ss);var UM;function joe(r){UM=r.wasm.cwrap(ns,null,["number","number","number","number","number","number","number","number","number","number"])}function Xoe(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.dataIdMap.get(n.dataId),g;h.dtype!=="float32"&&(g=Pr({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),h=e.dataIdMap.get(g.dataId));let x=h.id,b=e.makeOutput(f,"float32");if(y.sizeFromShape(n.shape)===0)return b;let w=e.dataIdMap.get(b.dataId).id;return UM(x,c,l,m,d,p,u,s?1:0,a?1:0,w),g!=null&&e.disposeData(g.dataId),b}var GM={kernelName:ns,backendName:"wasm",setupFunc:joe,kernelFunc:Xoe};var HM;function Yoe(r){HM=r.wasm.cwrap(qa,null,["number","number","number","array","array","boolean"])}function Qoe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=t.makeOutput(n.shape,"float32"),p=t.dataIdMap.get(n.dataId),u;return p.dtype!=="float32"&&(u=Pr({backend:t,inputs:{x:n},attrs:{dtype:"float32"}}),p=t.dataIdMap.get(u.dataId)),HM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(i.dataId).id,new Uint8Array(new Int32Array(n.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),a),u!=null&&t.disposeData(u.dataId),i}var KM={kernelName:qa,backendName:"wasm",setupFunc:Yoe,kernelFunc:Qoe};var qM;function Zoe(r){qM=r.wasm.cwrap(os,null,["number","number","number","number","number","number","number","number","number","number"])}function Joe(r){let{backend:e,inputs:t,attrs:o}=r,{images:n}=t,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,[c,l,m,d]=n.shape,f=[c,p,u,d],h=e.makeOutput(f,"float32");if(y.sizeFromShape(n.shape)===0)return h;let g=e.dataIdMap.get(n.dataId),x;g.dtype!=="float32"&&(x=Pr({backend:e,inputs:{x:n},attrs:{dtype:"float32"}}),g=e.dataIdMap.get(x.dataId));let b=g.id,w=e.dataIdMap.get(h.dataId).id;return qM(b,c,l,m,d,p,u,s?1:0,a?1:0,w),x!=null&&e.disposeData(x.dataId),h}var jM={kernelName:os,backendName:"wasm",setupFunc:Zoe,kernelFunc:Joe};var XM;function ene(r){XM=r.wasm.cwrap(Ka,null,["number","number","number","array","array","boolean"])}function tne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,i=t.makeOutput(n.shape,"float32"),p=t.dataIdMap.get(n.dataId),u;return p.dtype!=="float32"&&(u=Pr({backend:t,inputs:{x:n},attrs:{dtype:"float32"}}),p=t.dataIdMap.get(u.dataId)),XM(t.dataIdMap.get(n.dataId).id,t.dataIdMap.get(s.dataId).id,t.dataIdMap.get(i.dataId).id,new Uint8Array(new Int32Array(n.shape).buffer),new Uint8Array(new Int32Array(s.shape).buffer),a),u!=null&&t.disposeData(u.dataId),i}var YM={kernelName:Ka,backendName:"wasm",setupFunc:ene,kernelFunc:tne};var QM;function rne(r){QM=r.wasm.cwrap(as,null,["number","array","number","array","number","number"])}function one(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=y.parseAxisParam(s,n.shape);if(n.shape.length===0)return vp({inputs:{x:n},backend:t});let i=t.makeOutput(n.shape,n.dtype),p=t.dataIdMap.get(n.dataId).id,u=t.dataIdMap.get(i.dataId).id,c=new Uint8Array(new Int32Array(a).buffer),l=new Uint8Array(new Int32Array(n.shape).buffer);QM(p,c,a.length,l,n.shape.length,u);let m=zt({inputs:{x:i},attrs:{shape:n.shape},backend:t});return t.disposeData(i.dataId),m}var ZM={kernelName:as,backendName:"wasm",kernelFunc:one,setupFunc:rne};var JM;function nne(r){JM=r.wasm.cwrap(_s,null,["number","number","number","number","number","number","number","number","array","number","number"])}function sne(r){let{inputs:e,backend:t,attrs:o}=r,{image:n}=e,{radians:s,fillValue:a,center:i}=o,p=t.makeOutput(n.shape,n.dtype),u=t.dataIdMap.get(n.dataId).id,c=t.dataIdMap.get(p.dataId).id,[l,m,d,f]=n.shape,[h,g]=C.getImageCenter(i,m,d),x=a===0,b=255,w=typeof a=="number"?[a,a,a,x?0:b]:[...a,b],S=new Uint8Array(new Int32Array(w).buffer);return JM(u,l,m,d,f,s,h,g,S,w.length,c),p}var eL={kernelName:_s,backendName:"wasm",kernelFunc:sne,setupFunc:nne};var tL=Ce(is);var rL=Ce(us);var oL;function ane(r){oL=r.wasm.cwrap(ps,null,["number","number","number","number","number","number","array","number","number"])}function ine(r){let{backend:e,inputs:t,attrs:o}=r,{indices:n,updates:s}=t,{shape:a}=o,i=e.makeOutput(a,s.dtype);if(y.sizeFromShape(a)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=pu.calculateShapes(s,n,a),f=e.dataIdMap.get(n.dataId).id,g=e.dataIdMap.get(s.dataId).id,x=new Uint8Array(new Int32Array(l).buffer),b=e.dataIdMap.get(i.dataId).id;return oL(f,g,we[s.dtype],p,u,c,x,m,b),i}var nL={kernelName:ps,backendName:"wasm",setupFunc:ane,kernelFunc:ine};var sL;function une(r){sL=r.wasm.cwrap(ls,null,["number","number","number","number","number","number","bool","number"])}function pne(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o;if(n.dtype!==s.dtype)throw new Error(`SearchSorted error: sorted_sequence must have the same dtype as values. Got ${n.dtype} and ${s.dtype}`);let i=t.makeOutput(s.shape,"int32");function p(u){return t.dataIdMap.get(u.dataId).id}return sL(p(n),p(s),n.shape[0],n.shape[1],s.shape[1],we[n.dtype],a==="left",p(i)),i}var aL={kernelName:ls,backendName:"wasm",setupFunc:une,kernelFunc:pne};var iL;function cne(r){iL=r.wasm.cwrap("SelectV2",null,["number","number","number","number","number"])}function lne(r){let{inputs:e,backend:t}=r,{condition:o,t:n,e:s}=e,a=t.dataIdMap.get(o.dataId).id,i=t.dataIdMap.get(n.dataId).id,p=t.dataIdMap.get(s.dataId).id,u=t.makeOutput(n.shape,n.dtype),c=t.dataIdMap.get(u.dataId).id,l=o.shape.length,m=n.shape.length,d=l===0||l>1||m===1?1:y.sizeFromShape(n.shape.slice(1));return iL(a,i,p,d,c),u}var uL={kernelName:ua,backendName:"wasm",kernelFunc:lne,setupFunc:cne};var pL=Ce(ms);var cL;function mne(r){cL=r.wasm.cwrap(hs,null,["number","number"])}function dne(r){let{backend:e,inputs:{x:t}}=r,o=e.dataIdMap.get(t.dataId).id,n=e.makeOutput(t.shape,t.dtype),s=e.dataIdMap.get(n.dataId).id;return y.sizeFromShape(n.shape)===0||cL(o,s),n}var lL={kernelName:"Sigmoid",backendName:"wasm",setupFunc:mne,kernelFunc:dne};var mL=Ce(fs);var dL=Ce(ds);var fL=Ce(gs);function fne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o,i=y.sizeFromShape(s),p=[[0,0]];p.push(...a);for(let _=1+s.length;_0?p+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let l=n.shape.slice();l[0]=c;let m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=t.dataIdMap.get(a.dataId).id,h=t.makeOutput(l,n.dtype),g=t.dataIdMap.get(h.dataId).id,x=t.makeOutput([4],"int32"),b=t.dataIdMap.get(x.dataId).id;GP(m,Fe[n.dtype],n.shape[0],d,f,g,b,e,0);let C=t.readSync(x.dataId),w;switch(C[0]){case 0:{w=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{w=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:w=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(C[1],C[2]);break;case 3:w=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(C[1],C[2],C[3]);break;default:w=""}if(t.disposeData(x.dataId),w)throw t.disposeData(h.dataId),new Error(w);return h}function gee(r){return Sg(r,!0)}var HP={kernelName:gi,backendName:"wasm",setupFunc:Cg,kernelFunc:gee};function xee(r){return Sg(r,!1)}var KP={kernelName:xi,backendName:"wasm",setupFunc:Cg,kernelFunc:xee};function yee(r){let{inputs:e,attrs:t,backend:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=t,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Eo({inputs:{x:n},attrs:{begin:u,size:m},backend:o});return u[i]+=l,d})}var qP={kernelName:Rs,backendName:"wasm",kernelFunc:yee};var jP=Ve(Hn);var XP=Ve(bi);var bee=!0,YP=rt(jn,bee);var QP;function Cee(r){QP=r.wasm.cwrap(fo,null,["number","number","number","number"])}function See(r){let{backend:e,inputs:t,attrs:o}=r,{alpha:n}=o,{x:s}=t,a=e.dataIdMap.get(s.dataId).id,i=e.makeOutput(s.shape,s.dtype),p=e.dataIdMap.get(i.dataId).id;return QP(a,n,Fe[s.dtype],p),i}var ZP={kernelName:fo,backendName:"wasm",setupFunc:Cee,kernelFunc:See};var JP;function wee(r){JP=r.wasm.cwrap(Xn,null,["number","array","number","array","array","array","array","array","number","number"])}function Iee(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=Lt({inputs:{x:n},backend:e,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=Eo({inputs:{x:n},backend:e,attrs:{begin:b,size:_}});k=Lt({inputs:{x:E},backend:e,attrs:{shape:f}}),e.disposeData(E.dataId)}else{let _=e.makeOutput(d,"float32"),E=e.dataIdMap.get(n.dataId).id,A=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),R=new Uint8Array(new Int32Array(b).buffer),D=new Uint8Array(new Int32Array(C).buffer),P=new Uint8Array(new Int32Array(w).buffer),M=new Uint8Array(new Int32Array(d).buffer),L=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),V=e.dataIdMap.get(_.dataId).id;JP(E,A,n.shape.length,R,D,P,M,L,d.length,V),k=Lt({inputs:{x:_},backend:e,attrs:{shape:f}}),e.disposeData(_.dataId)}return k}var e3={kernelName:Xn,backendName:"wasm",setupFunc:wee,kernelFunc:Iee};function vee(r){let{backend:e,inputs:t,attrs:o}=r,{data:n,dataSplits:s}=t,{separator:a,nGramWidths:i,leftPad:p,rightPad:u,padWidth:c,preserveShortSequences:l}=o,m=e.readSync(n.dataId),d=e.readSync(s.dataId),[f,h]=Eu(m,d,a,i,p,u,c,l),g=e.makeOutput([f.length],"string"),x=e.dataIdMap.get(g.dataId);x.stringBytes=f;let b=e.makeOutput(s.shape,"int32");return e.typedArrayFromHeap(b).set(h),[g,b]}var t3={kernelName:Ds,backendName:"wasm",kernelFunc:vee};function kee(r){let{backend:e,inputs:t,attrs:o}=r,{input:n,delimiter:s}=t,{skipEmpty:a}=o,i=e.readSync(n.dataId),p=e.readSync(s.dataId),[u,c,l]=Au(i,p[0],a),m=c.length,d=e.makeOutput([m,2],"int32");e.typedArrayFromHeap(d).set(u);let h=e.makeOutput([m],"string"),g=e.dataIdMap.get(h.dataId);g.stringBytes=c;let x=e.makeOutput([2],"int32");return e.typedArrayFromHeap(x).set(l),[d,h,x]}var r3={kernelName:Ci,backendName:"wasm",kernelFunc:kee};function Nee(r){let{backend:e,inputs:t,attrs:o}=r,{input:n}=t,{numBuckets:s}=o,a=e.readSync(n.dataId),i=Ru(a,s),p=e.makeOutput(n.shape,"int32");return e.typedArrayFromHeap(p).set(i),p}var o3={kernelName:Si,backendName:"wasm",kernelFunc:Nee};var Tee=!0,n3=rt(Yn,Tee);var s3;function _ee(r){s3=r.wasm.cwrap(Kn,null,["number","number","number","number"])}function $ee(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=kr(a,n,e),f=l;if(d){let C=e.dataIdMap.get(c.dataId).id;C!==i&&(u=c,p=C,f=S.getInnerMostAxes(f.length,u.shape.length))}S.assertAxesAreInnerMostDims("sum",f,u.shape.length);let[h,g]=S.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let C=e.dataIdMap.get(b.dataId).id;s3(p,x,Fe[b.dtype],C)}if(d&&e.disposeData(c.dataId),s){let C=S.expandShapeToKeepDim(b.shape,m);b.shape=C}return b}var a3={kernelName:Kn,backendName:"wasm",setupFunc:_ee,kernelFunc:$ee};var i3=Ve(Qn);var u3=Ve(Zn);var p3;function Eee(r){p3=r.wasm.cwrap(to,null,["number","array","number","array","number","number"])}function Aee(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,s=t.dataIdMap.get(n.dataId).id,{reps:a}=o,i=new Array(n.shape.length);for(let m=0;m{let{x:o}=r,{k:n,sorted:s}=t,a=e.dataIdMap.get(o.dataId).id,i=new Uint8Array(new Int32Array(o.shape).buffer),p=o.shape.slice();p[p.length-1]=n;let u=e.makeOutput(p,o.dtype),c=e.dataIdMap.get(u.dataId).id,l=e.makeOutput(p,"int32"),m=e.dataIdMap.get(l.dataId).id;return l3(a,i,o.shape.length,Fe[o.dtype],n,s,c,m),[u,l]},m3={kernelName:Jn,backendName:"wasm",setupFunc:Ree,kernelFunc:Dee};var d3;function Fee(r){d3=r.wasm.cwrap(es,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Oee(r){let{backend:e,inputs:t,attrs:o}=r,{image:n,transforms:s}=t,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),C=e.makeOutput(g,n.dtype),w=e.dataIdMap.get(C.dataId).id,_=e.dataIdMap.get(n.dataId).id,A=e.dataIdMap.get(s.dataId).id,R=a==="nearest"?1:2,D;switch(i){case"constant":D=1;break;case"reflect":D=2;break;case"wrap":D=3;break;case"nearest":D=4;break;default:D=1;break}return d3(_,A,s.shape[0]>1,c,f,h,d,m,l,x,n.shape.length-1,b,g.length-1,R,D,p,w),C}var f3={kernelName:es,backendName:"wasm",setupFunc:Fee,kernelFunc:Oee};function Pee(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n.shape[s],i=n.shape.length,p=new Array(i-1),u=0;for(let d=0;d({dataId:d,dtype:f,shape:p}))}var h3={kernelName:Fs,backendName:"wasm",kernelFunc:Pee};function Mee(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(0),o}var g3={kernelName:Os,backendName:"wasm",kernelFunc:Mee};var Lee=[bF,CF,SF,IF,_F,EF,RF,FF,MF,BF,VF,zF,UF,GF,KF,jF,XF,YF,ZF,eO,rO,nO,aO,iO,uO,pO,cO,lO,dO,fO,hO,xO,bO,SO,IO,kO,NO,TO,vF,_O,EO,AO,RO,DO,FO,OO,PO,MO,BO,VO,WO,GO,KO,qO,XO,YO,QO,JO,tP,oP,nP,aP,iP,uP,bg,cP,mP,fP,hP,gP,xP,yP,bP,OF,SP,IP,kP,TP,_P,$P,AP,DP,OP,PP,LF,LP,BP,zP,UP,HP,KP,qP,jP,XP,YP,ZP,e3,t3,r3,o3,n3,a3,i3,u3,c3,m3,f3,NF,h3,g3];for(let r of Lee)ka(r);var rI=O();rI.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});rI.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(rI.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var cI=ap(C3()),N3=ap(w3()),lI=ap(I3());var v3=cI.default||cI,Bee=lI.default||lI,Ll=class extends Zr{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(_3),pI=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Fo(this,sr())}write(e,t,o){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,o,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}move(e,t,o,n,s){let a=this.dataIdNextNumber++;if(n==="string"){let c=t;this.dataIdMap.set(e,{id:a,stringBytes:c,shape:o,dtype:n,memoryOffset:null,refCount:s});return}let i=y.sizeFromShape(o),p=i*y.bytesPerElement(n),u=this.wasm._malloc(p);this.dataIdMap.set(e,{id:a,memoryOffset:u,shape:o,dtype:n,refCount:s}),this.wasm.tfjs.registerTensor(a,i,u),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,p),u)}async read(e){return this.readSync(e)}readSync(e,t,o){let{memoryOffset:n,dtype:s,shape:a,stringBytes:i}=this.dataIdMap.get(e);if(s==="string")return(t==null||t===0)&&(o==null||o>=i.length)?i:i.slice(t,o);t=t||0,o=o||y.sizeFromShape(a);let p=y.bytesPerElement(s),u=this.wasm.HEAPU8.slice(n+t*p,n+o*p);return zee(u.buffer,s)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let o=this.dataIdMap.get(e);if(o.refCount--,!t&&o.refCount>0)return!1;this.wasm._free(o.memoryOffset),this.wasm.tfjs.disposeData(o.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,o){let n;if(o==null)n=this.write(null,e,t);else{let s=this.dataIdNextNumber++;n={id:s},this.dataIdMap.set(n,{id:s,memoryOffset:o,shape:e,dtype:t,refCount:1});let a=y.sizeFromShape(e);this.wasm.tfjs.registerTensor(s,a,o)}return{dataId:n,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:o}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(o),a=y.sizeFromShape(e);switch(t){case"float32":return new Float32Array(n,s,a);case"int32":return new Int32Array(n,s,a);case"bool":return new Uint8Array(n,s,a);default:throw new Error(`Unknown dtype ${t}`)}}};function Vee(r){return(e,t)=>(y.fetch(r,{credentials:"same-origin"}).then(o=>{o.ok||e.env.a(`failed to load wasm binary file at '${r}'`),o.arrayBuffer().then(n=>{WebAssembly.instantiate(n,e).then(s=>{t(s.instance,s.module)})})}),{})}function k3(r,e,t){if(vg!=null)return vg;let o="tfjs-backend-wasm.wasm";return r&&e?o="tfjs-backend-wasm-threaded-simd.wasm":r&&(o="tfjs-backend-wasm-simd.wasm"),Pl!=null&&Pl[o]!=null?Pl[o]:t+o}async function T3(){let[r,e]=await Promise.all([O().getAsync("WASM_HAS_SIMD_SUPPORT"),O().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((t,o)=>{let n={};n.locateFile=(i,p)=>{if(i.endsWith(".worker.js")){let u=N3.wasmWorkerContents.replace(/\n/g,"\\n"),c=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(c)}return i.endsWith(".wasm")?k3(r,e,Ol!=null?Ol:p):p+i},mI&&(n.instantiateWasm=Vee(k3(r,e,Ol!=null?Ol:"")));let s=!1;n.onAbort=()=>{if(s||Ml)return;Ml=!0,o({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"})};let a;e&&r&&vg==null?(n.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+v3.toString()],{type:"text/javascript"}),a=v3(n)):a=Bee(n),a.then(i=>{s=!0,Ml=!1;let p=null;i.tfjs={init:i.cwrap("init",null,[]),initWithThreadsCount:i.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:i.cwrap("get_threads_count","number",[]),registerTensor:i.cwrap("register_tensor",null,["number","number","number"]),disposeData:i.cwrap("dispose_data",p,["number"]),dispose:i.cwrap("dispose",p,[])},t({wasm:i})}).catch(o)})}function zee(r,e){switch(e){case"float32":return new Float32Array(r);case"int32":return new Int32Array(r);case"bool":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${e}`)}}var Wee=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],vg=null,Ol=null,Pl={},Ml=!1,mI=!1;function Uee(r,e=!1){if(nC("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Ml)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");vg=r,mI=e}function Gee(r,e=!1){if(Ml)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof r=="string")Ol=r;else{Pl=r;let t=Wee.filter(o=>Pl[o]==null);if(t.length>0)throw new Error(`There were no entries found for the following binaries: ${t.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}mI=e}var _3=-1,pI=-1;function Hee(r){_3=r}function Kee(){if(pI===-1)throw new Error("WASM backend not initialized.");return pI}var qee="4.2.0";var jee=2;Ti("wasm",async()=>{let{wasm:r}=await T3();return new Ll(r)},jee);var ds=O();ds.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE",()=>15);ds.registerFlag("WEBGPU_CPU_FORWARD",()=>!0);ds.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE",()=>-1);ds.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE",()=>!1);ds.registerFlag("WEBGPU_USE_LOW_POWER_GPU",()=>!1);ds.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e3);ds.registerFlag("WEBGPU_USE_PROFILE_TOOL",()=>!1);ds.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE",()=>!0);ds.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG",()=>!1);ds.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL",()=>0);ds.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER",()=>!1);var kg=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith("gen"))return Number(this.architecture.match(/\d+/));if(this.architecture.startsWith("xe"))return 12}return 0}isIntel(){return this.vendor==="intel"}};var Ng=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireUploadBuffer(e,t){return this.acquireBuffer(e,t,!0)}acquireBuffer(e,t,o=!1){let n=$3(e,t);if(this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.usedBuffers.has(n)||this.usedBuffers.set(n,[]),this.numBytesUsed+=e,this.numUsedBuffers++,this.freeBuffers.get(n).length>0){this.numFreeBuffers--;let a=this.freeBuffers.get(n).shift();return this.usedBuffers.get(n).push(a),a}this.numBytesAllocated+=e;let s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o});return this.usedBuffers.get(n).push(s),s}releaseBuffer(e,t,o){if(this.freeBuffers.size===0)return;let n=$3(t,o);this.freeBuffers.has(n)||this.freeBuffers.set(n,[]),this.freeBuffers.get(n).push(e),this.numFreeBuffers++,this.numUsedBuffers--;let s=this.usedBuffers.get(n),a=s.indexOf(e);if(a<0)throw new Error("Cannot release a buffer that was never provided by this buffer manager");s.splice(a,1),this.numBytesUsed-=t}releaseUploadBuffer(e,t,o){e.mapAsync(GPUMapMode.WRITE).then(()=>{this.releaseBuffer(e,t,o)},n=>{})}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function $3(r,e){return`${r}_${e}`}var Tg=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,o,n){let s=A3(o),a=e*t*s,i=E3(e,t,o,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=a,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let u=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(u),u}this.numBytesAllocated+=a;let p=this.device.createTexture({size:[e,t],format:o,usage:n});return this.usedTextures.get(i).push(p),p}releaseTexture(e,t,o,n,s){if(this.freeTextures.size===0)return;let a=E3(t,o,n,s);this.freeTextures.has(a)||this.freeTextures.set(a,[]),this.freeTextures.get(a).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(a),p=i.indexOf(e);if(p<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(p,1);let u=A3(n),c=t*o*u;this.numBytesUsed-=c}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function E3(r,e,t,o){return`${r}_${e}_${t}_${o}`}function A3(r){if(r==="rgba8unorm")return 16;throw new Error(`${r} is not supported!`)}function R3(r,e){if(Math.max(...r)>3)throw new Error("Cannot symbolically compute strides for rank > 4 tensor.");let t=r.length,o=r.map(s=>`${e}[${s}]`),n=new Array(t-1);n[t-2]=o[t-1];for(let s=t-3;s>=0;--s)n[s]=`(${n[s+1]} * ${o[s+1]})`;return n}var Ic=(r,e,t)=>t==="int32"?`atomicAdd(${r}, bitcast(${e}));`:` + ${n.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let a=e.dataIdMap.get(o.dataId).id,i=e.dataIdMap.get(n.dataId).id,p=e.dataIdMap.get(s.dataId).id,u=o.shape[0],c=y.sizeFromShape(s.shape),l=e.makeOutput([u,c],o.dtype),m=e.dataIdMap.get(l.dataId).id,d=e.makeOutput([c],s.dtype),f=e.dataIdMap.get(d.dataId).id,h=e.makeOutput([3],"int32"),g=e.dataIdMap.get(h.dataId).id;yL(a,i,p,u,m,f,g);let x=e.readSync(h.dataId),b;switch(x[0]){case 0:{b=C.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(x[1],x[2]);break}case 1:{b=C.getSparseReshapeNegativeOutputDimErrorMessage(x[1],x[2]);break}case 2:b=C.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let w=Array.from(e.readSync(n.dataId)),S=Array.from(e.readSync(d.dataId));b=C.getSparseReshapeInputOutputMultipleErrorMessage(w,S);break}case 4:{let w=Array.from(e.readSync(n.dataId)),S=Array.from(e.readSync(d.dataId));b=C.getSparseReshapeInputOutputMismatchErrorMessage(w,S);break}default:b=""}if(e.disposeData(h.dataId),b)throw e.disposeData(l.dataId),e.disposeData(d.dataId),new Error(b);return[l,d]}var bL={kernelName:Xa,backendName:"wasm",setupFunc:xne,kernelFunc:yne};var CL;function Mg(r){CL=r.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function Lg(r,e){let{backend:t,inputs:o}=r,{data:n,indices:s,segmentIds:a}=o,i=s.shape[0],p=t.readSync(a.dataId,i-1,i)[0],c=i>0?p+1:0;if(c<0)throw new Error(C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let l=n.shape.slice();l[0]=c;let m=t.dataIdMap.get(n.dataId).id,d=t.dataIdMap.get(s.dataId).id,f=t.dataIdMap.get(a.dataId).id,h=t.makeOutput(l,n.dtype),g=t.dataIdMap.get(h.dataId).id,x=t.makeOutput([4],"int32"),b=t.dataIdMap.get(x.dataId).id;CL(m,we[n.dtype],n.shape[0],d,f,g,b,e,0);let w=t.readSync(x.dataId),S;switch(w[0]){case 0:{S=C.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{S=C.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:S=C.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:S=C.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:S=""}if(t.disposeData(x.dataId),S)throw t.disposeData(h.dataId),new Error(S);return h}function bne(r){return Lg(r,!0)}var wL={kernelName:Wi,backendName:"wasm",setupFunc:Mg,kernelFunc:bne};function Cne(r){return Lg(r,!1)}var SL={kernelName:Ui,backendName:"wasm",setupFunc:Mg,kernelFunc:Cne};var IL;function wne(r){IL=r.wasm.cwrap(Cs,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Sne(r){let{backend:e,inputs:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=t,{outputShape:i}=o,p=e.makeOutput(i,a.dtype);if(y.sizeFromShape(i)===0)return p;let{sliceRank:u,numUpdates:c,sliceSize:l,strides:m,outputSize:d}=C.calculateShapes(s,n,i),f=e.dataIdMap.get(n.dataId).id,h=e.dataIdMap.get(s.dataId).id,g=e.dataIdMap.get(a.dataId).id,x=new Uint8Array(new Int32Array(m).buffer),b=e.dataIdMap.get(p.dataId).id;return IL(f,h,s.shape.length,g,we[a.dtype],u,c,l,x,d,b),p}var vL={kernelName:Cs,backendName:"wasm",setupFunc:wne,kernelFunc:Sne};function Ine(r){let{inputs:e,attrs:t,backend:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=t,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=new Array(n.shape.length).fill(0),c=n.shape.slice();return p.map(l=>{let m=[...c];m[i]=l;let d=Ao({inputs:{x:n},attrs:{begin:u,size:m},backend:o});return u[i]+=l,d})}var kL={kernelName:la,backendName:"wasm",kernelFunc:Ine};var NL=Ce(xs);var TL=Ce(Gi);var vne=!0,_L=Je(ws,vne);var $L;function kne(r){$L=r.wasm.cwrap(yo,null,["number","number","number","number"])}function Nne(r){let{backend:e,inputs:t,attrs:o}=r,{alpha:n}=o,{x:s}=t,a=e.dataIdMap.get(s.dataId).id,i=e.makeOutput(s.shape,s.dtype),p=e.dataIdMap.get(i.dataId).id;return $L(a,n,we[s.dtype],p),i}var EL={kernelName:yo,backendName:"wasm",setupFunc:kne,kernelFunc:Nne};var RL;function Tne(r){RL=r.wasm.cwrap(Ss,null,["number","array","number","array","array","array","array","array","number","number"])}function _ne(r){let{backend:e,inputs:t,attrs:o}=r,{x:n}=t,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=zt({inputs:{x:n},backend:e,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=Ao({inputs:{x:n},backend:e,attrs:{begin:b,size:_}});k=zt({inputs:{x:E},backend:e,attrs:{shape:f}}),e.disposeData(E.dataId)}else{let _=e.makeOutput(d,"float32"),E=e.dataIdMap.get(n.dataId).id,R=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),D=new Uint8Array(new Int32Array(b).buffer),F=new Uint8Array(new Int32Array(w).buffer),O=new Uint8Array(new Int32Array(S).buffer),M=new Uint8Array(new Int32Array(d).buffer),L=new Uint8Array(new Int32Array(y.computeStrides(d)).buffer),B=e.dataIdMap.get(_.dataId).id;RL(E,R,n.shape.length,D,F,O,M,L,d.length,B),k=zt({inputs:{x:_},backend:e,attrs:{shape:f}}),e.disposeData(_.dataId)}return k}var DL={kernelName:Ss,backendName:"wasm",setupFunc:Tne,kernelFunc:_ne};function $ne(r){let{backend:e,inputs:t,attrs:o}=r,{data:n,dataSplits:s}=t,{separator:a,nGramWidths:i,leftPad:p,rightPad:u,padWidth:c,preserveShortSequences:l}=o,m=e.readSync(n.dataId),d=e.readSync(s.dataId),[f,h]=up(m,d,a,i,p,u,c,l),g=e.makeOutput([f.length],"string"),x=e.dataIdMap.get(g.dataId);x.stringBytes=f;let b=e.makeOutput(s.shape,"int32");return e.typedArrayFromHeap(b).set(h),[g,b]}var AL={kernelName:ma,backendName:"wasm",kernelFunc:$ne};function Ene(r){let{backend:e,inputs:t,attrs:o}=r,{input:n,delimiter:s}=t,{skipEmpty:a}=o,i=e.readSync(n.dataId),p=e.readSync(s.dataId),[u,c,l]=pp(i,p[0],a),m=c.length,d=e.makeOutput([m,2],"int32");e.typedArrayFromHeap(d).set(u);let h=e.makeOutput([m],"string"),g=e.dataIdMap.get(h.dataId);g.stringBytes=c;let x=e.makeOutput([2],"int32");return e.typedArrayFromHeap(x).set(l),[d,h,x]}var FL={kernelName:Hi,backendName:"wasm",kernelFunc:Ene};function Rne(r){let{backend:e,inputs:t,attrs:o}=r,{input:n}=t,{numBuckets:s}=o,a=e.readSync(n.dataId),i=cp(a,s),p=e.makeOutput(n.shape,"int32");return e.typedArrayFromHeap(p).set(i),p}var PL={kernelName:Ki,backendName:"wasm",kernelFunc:Rne};var Dne=!0,OL=Je(Is,Dne);var ML;function Ane(r){ML=r.wasm.cwrap(ys,null,["number","number","number","number"])}function Fne(r){let{backend:e,inputs:t,attrs:o}=r,{axis:n,keepDims:s}=o,{x:a}=t,i=e.dataIdMap.get(a.dataId).id,p=i,u=a,{transposed:c,axes:l,originalAxes:m,inputWasTransposed:d}=Tr(a,n,e),f=l;if(d){let w=e.dataIdMap.get(c.dataId).id;w!==i&&(u=c,p=w,f=C.getInnerMostAxes(f.length,u.shape.length))}C.assertAxesAreInnerMostDims("sum",f,u.shape.length);let[h,g]=C.computeOutAndReduceShapes(u.shape,f),x=y.sizeFromShape(g),b=e.makeOutput(h,u.dtype);if(y.sizeFromShape(u.shape)!==0){let w=e.dataIdMap.get(b.dataId).id;ML(p,x,we[b.dtype],w)}if(d&&e.disposeData(c.dataId),s){let w=C.expandShapeToKeepDim(b.shape,m);b.shape=w}return b}var LL={kernelName:ys,backendName:"wasm",setupFunc:Ane,kernelFunc:Fne};var BL=Ce(vs);var zL=Ce(ks);var VL;function Pne(r){VL=r.wasm.cwrap(cs,null,["number","number","number","number","number","number","array","number","number","number"])}function One(r){let{backend:e,inputs:t,attrs:o}=r,{tensor:n,indices:s,updates:a}=t,{}=o,i=e.makeOutput(n.shape,n.dtype);if(y.sizeFromShape(n.shape)===0)return i;let{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=pu.calculateShapes(a,s,n.shape),f=e.dataIdMap.get(s.dataId).id,g=e.dataIdMap.get(a.dataId).id,b=e.dataIdMap.get(n.dataId).id,w=new Uint8Array(new Int32Array(l).buffer),S=e.dataIdMap.get(i.dataId).id;return VL(f,g,we[a.dtype],p,u,c,w,m,S,b),i}var WL={kernelName:cs,backendName:"wasm",setupFunc:Pne,kernelFunc:One};var UL;function Mne(r){UL=r.wasm.cwrap(so,null,["number","array","number","array","number","number"])}function Lne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,s=t.dataIdMap.get(n.dataId).id,{reps:a}=o,i=new Array(n.shape.length);for(let m=0;m{let{x:o}=r,{k:n,sorted:s}=t,a=e.dataIdMap.get(o.dataId).id,i=new Uint8Array(new Int32Array(o.shape).buffer),p=o.shape.slice();p[p.length-1]=n;let u=e.makeOutput(p,o.dtype),c=e.dataIdMap.get(u.dataId).id,l=e.makeOutput(p,"int32"),m=e.dataIdMap.get(l.dataId).id;return HL(a,i,o.shape.length,we[o.dtype],n,s,c,m),[u,l]},KL={kernelName:Ns,backendName:"wasm",setupFunc:Bne,kernelFunc:zne};var qL;function Vne(r){qL=r.wasm.cwrap(Ts,null,["number","number","bool","number","number","number","number","number","number","array","number","array","number","number","number","number","number"])}function Wne(r){let{backend:e,inputs:t,attrs:o}=r,{image:n,transforms:s}=t,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Uint8Array(new Int32Array(y.computeStrides(n.shape)).buffer),b=new Uint8Array(new Int32Array(y.computeStrides(g)).buffer),w=e.makeOutput(g,n.dtype),S=e.dataIdMap.get(w.dataId).id,_=e.dataIdMap.get(n.dataId).id,R=e.dataIdMap.get(s.dataId).id,D=a==="nearest"?1:2,F;switch(i){case"constant":F=1;break;case"reflect":F=2;break;case"wrap":F=3;break;case"nearest":F=4;break;default:F=1;break}return qL(_,R,s.shape[0]>1,c,f,h,d,m,l,x,n.shape.length-1,b,g.length-1,D,F,p,S),w}var jL={kernelName:Ts,backendName:"wasm",setupFunc:Vne,kernelFunc:Wne};function Une(r){let{inputs:e,attrs:t,backend:o}=r,{axis:n}=t,{x:s}=e,{outputValues:a,outputShape:i,indices:p}=lp(o.readSync(s.dataId),n,s.shape,s.dtype);return[o.makeOutput(i,s.dtype,void 0,a),o.makeOutput([p.length],"int32",void 0,p)]}var XL={kernelName:qi,backendName:"wasm",kernelFunc:Une};function Gne(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n.shape[s],i=n.shape.length,p=new Array(i-1),u=0;for(let d=0;d({dataId:d,dtype:f,shape:p}))}var YL={kernelName:da,backendName:"wasm",kernelFunc:Gne};function Hne(r){let{inputs:{x:e},backend:t}=r,o=t.makeOutput(e.shape,e.dtype);return t.typedArrayFromHeap(o).fill(0),o}var QL={kernelName:fa,backendName:"wasm",kernelFunc:Hne};var Kne=[K3,q3,j3,X3,Y3,Z3,oP,sP,aP,iP,uP,pP,cP,lP,mP,fP,gP,yP,wP,IP,kP,NP,TP,_P,EP,RP,AP,PP,MP,BP,VP,WP,UP,HP,qP,XP,QP,JP,tO,oO,sO,iO,pO,cO,mO,dO,fO,hO,gO,xO,bO,CO,wO,IO,kO,TO,$O,RO,DO,AO,J3,FO,PO,OO,LO,BO,zO,WO,GO,UO,HO,KO,qO,jO,YO,ZO,eM,tM,oM,sM,iM,pM,lM,mM,fM,yM,bM,CM,SM,vM,NM,TM,$M,EM,RM,Og,AM,PM,MM,LM,BM,zM,VM,WM,bP,GM,KM,jM,YM,ZM,eL,tL,rL,nL,aL,uL,pL,lL,mL,dL,SP,gM,fL,hL,xL,bL,wL,SL,vL,kL,NL,TL,_L,EL,DL,AL,FL,PL,OL,LL,BL,zL,WL,GL,KL,jL,tP,XL,YL,QL];for(let r of Kne)Ya(r);var wv=P();wv.registerFlag("WASM_HAS_SIMD_SUPPORT",async()=>{try{return WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,10,9,1,7,0,65,0,253,15,26,11]))}catch(r){return!1}});wv.registerFlag("WASM_HAS_MULTITHREAD_SUPPORT",async()=>{if(wv.get("IS_NODE"))return!1;try{return new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),WebAssembly.validate(new Uint8Array([0,97,115,109,1,0,0,0,1,4,1,96,0,0,3,2,1,0,5,4,1,3,1,1,10,11,1,9,0,65,0,254,16,2,0,26,11]))}catch(r){return!1}});var $v=Bp(tB()),iB=Bp(oB()),Ev=Bp(nB());var sB=$v.default||$v,qne=Ev.default||Ev,am=class extends ro{constructor(e){super(),this.wasm=e,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(pB),_v=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new Lo(this,ur())}write(e,t,o){let n={id:this.dataIdNextNumber++};return this.move(n,e,t,o,1),n}numDataIds(){return this.dataIdMap.numDataIds()}async time(e){let t=y.now();return e(),{kernelMs:y.now()-t}}move(e,t,o,n,s){let a=this.dataIdNextNumber++;if(n==="string"){let c=t;this.dataIdMap.set(e,{id:a,stringBytes:c,shape:o,dtype:n,memoryOffset:null,refCount:s});return}let i=y.sizeFromShape(o),p=i*y.bytesPerElement(n),u=this.wasm._malloc(p)>>>0;this.dataIdMap.set(e,{id:a,memoryOffset:u,shape:o,dtype:n,refCount:s}),this.wasm.tfjs.registerTensor(a,i,u),t!=null&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,p),u)}async read(e){return this.readSync(e)}readSync(e,t,o){let{memoryOffset:n,dtype:s,shape:a,stringBytes:i}=this.dataIdMap.get(e);if(s==="string")return(t==null||t===0)&&(o==null||o>=i.length)?i:i.slice(t,o);t=t||0,o=o||y.sizeFromShape(a);let p=y.bytesPerElement(s),u=this.wasm.HEAPU8.slice(n+t*p,n+o*p);return Xne(u.buffer,s)}disposeData(e,t=!1){if(this.dataIdMap.has(e)){let o=this.dataIdMap.get(e);if(o.refCount--,!t&&o.refCount>0)return!1;this.wasm._free(o.memoryOffset),this.wasm.tfjs.disposeData(o.id),this.dataIdMap.delete(e)}return!0}refCount(e){return this.dataIdMap.has(e)?this.dataIdMap.get(e).refCount:0}incRef(e){let t=this.dataIdMap.get(e);t!=null&&t.refCount++}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),"PThread"in this.wasm&&this.wasm.PThread.terminateAllThreads(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,o,n){let s;if(o==null)s=this.write(n!=null?n:null,e,t);else{let a=this.dataIdNextNumber++;s={id:a},this.dataIdMap.set(s,{id:a,memoryOffset:o,shape:e,dtype:t,refCount:1});let i=y.sizeFromShape(e);this.wasm.tfjs.registerTensor(a,i,o)}return{dataId:s,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:o}){let n=this.wasm.HEAPU8.buffer,{memoryOffset:s}=this.dataIdMap.get(o),a=y.sizeFromShape(e);switch(t){case"float32":return new Float32Array(n,s,a);case"int32":return new Int32Array(n,s,a);case"bool":return new Uint8Array(n,s,a);default:throw new Error(`Unknown dtype ${t}`)}}};function jne(r){return(e,t)=>(y.fetch(r,{credentials:"same-origin"}).then(o=>{o.ok||e.env.a(`failed to load wasm binary file at '${r}'`),o.arrayBuffer().then(n=>{WebAssembly.instantiate(n,e).then(s=>{t(s.instance,s.module)})})}),{})}function aB(r,e,t){if(Vg!=null)return Vg;let o="tfjs-backend-wasm.wasm";return r&&e?o="tfjs-backend-wasm-threaded-simd.wasm":r&&(o="tfjs-backend-wasm-simd.wasm"),nm!=null&&nm[o]!=null?nm[o]:t+o}async function uB(){let[r,e]=await Promise.all([P().getAsync("WASM_HAS_SIMD_SUPPORT"),P().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((t,o)=>{let n={};n.locateFile=(i,p)=>{if(i.endsWith(".worker.js")){let u=iB.wasmWorkerContents.replace(/\n/g,"\\n"),c=new Blob([u],{type:"application/javascript"});return URL.createObjectURL(c)}return i.endsWith(".wasm")?aB(r,e,om!=null?om:p):p+i},Rv&&(n.instantiateWasm=jne(aB(r,e,om!=null?om:"")));let s=!1;n.onAbort=()=>{if(s||sm)return;sm=!0,o({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"})};let a;e&&r&&Vg==null?(n.mainScriptUrlOrBlob=new Blob(["var WasmBackendModuleThreadedSimd = "+sB.toString()],{type:"text/javascript"}),a=sB(n)):a=qne(n),a.then(i=>{s=!0,sm=!1;let p=null;i.tfjs={init:i.cwrap("init",null,[]),initWithThreadsCount:i.cwrap("init_with_threads_count",null,["number"]),getThreadsCount:i.cwrap("get_threads_count","number",[]),registerTensor:i.cwrap("register_tensor",null,["number","number","number"]),disposeData:i.cwrap("dispose_data",p,["number"]),dispose:i.cwrap("dispose",p,[])},t({wasm:i})}).catch(o)})}function Xne(r,e){switch(e){case"float32":return new Float32Array(r);case"int32":return new Int32Array(r);case"bool":return new Uint8Array(r);default:throw new Error(`Unknown dtype ${e}`)}}var Yne=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"],Vg=null,om=null,nm={},sm=!1,Rv=!1;function Qne(r,e=!1){if(bw("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),sm)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Vg=r,Rv=e}function Zne(r,e=!1){if(sm)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if(typeof r=="string")om=r;else{nm=r;let t=Yne.filter(o=>nm[o]==null);if(t.length>0)throw new Error(`There were no entries found for the following binaries: ${t.join(",")}. Please either call setWasmPaths with a map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.`)}Rv=e}var pB=-1,_v=-1;function Jne(r){pB=r}function ese(){if(_v===-1)throw new Error("WASM backend not initialized.");return _v}var tse="4.5.0";var rse=2;eu("wasm",async()=>{let{wasm:r}=await uB();return new am(r)},rse);var Fo=P();Fo.registerFlag("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE",()=>15);Fo.registerFlag("WEBGPU_CPU_FORWARD",()=>!0);Fo.registerFlag("WEBGPU_MATMUL_PROGRAM_TYPE",()=>-1);Fo.registerFlag("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE",()=>!0);Fo.registerFlag("WEBGPU_USE_LOW_POWER_GPU",()=>!1);Fo.registerFlag("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e3);Fo.registerFlag("WEBGPU_USE_PROFILE_TOOL",()=>!1);Fo.registerFlag("WEBGPU_IMPORT_EXTERNAL_TEXTURE",()=>!0);Fo.registerFlag("WEBGPU_USE_NAIVE_CONV2D_DEBUG",()=>!1);Fo.registerFlag("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL",()=>0);Fo.registerFlag("WEBGPU_CONV_SEPARATE_IM2COL_SHADER",()=>!1);Fo.registerFlag("WEBGPU_PRINT_SHADER",()=>"");var Wg=class{constructor(e){e&&(this.vendor=e.vendor,this.architecture=e.architecture,this.intelGPUGeneration=this.getIntelGPUGeneration())}getIntelGPUGeneration(){if(this.isIntel()){if(this.architecture.startsWith("gen"))return Number(this.architecture.match(/\d+/));if(this.architecture.startsWith("xe"))return 12}return 0}isIntel(){return this.vendor==="intel"}};var Ug=class{constructor(e){this.device=e,this.numUsedBuffers=0,this.numFreeBuffers=0,this.freeBuffers=new Map,this.usedBuffers=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireBuffer(e,t,o=!1,n=!0){let s,a=cB(e,t);return n?(this.freeBuffers.has(a)||this.freeBuffers.set(a,[]),this.freeBuffers.get(a).length>0?(s=this.freeBuffers.get(a).pop(),this.numFreeBuffers--):(s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o}),this.numBytesAllocated+=e)):(s=this.device.createBuffer({size:e,usage:t,mappedAtCreation:o}),this.numBytesAllocated+=e),this.usedBuffers.has(a)||this.usedBuffers.set(a,[]),this.usedBuffers.get(a).push(s),this.numUsedBuffers++,this.numBytesUsed+=e,s}releaseBuffer(e,t,o,n=!0){if(this.freeBuffers.size===0)return;let s=cB(t,o),a=this.usedBuffers.get(s),i=a.indexOf(e);if(i<0)throw new Error("Cannot find the buffer in buffer manager");a[i]=a[a.length-1],a.pop(),this.numUsedBuffers--,this.numBytesUsed-=t,n?(this.freeBuffers.get(s).push(e),this.numFreeBuffers++):(e.destroy(),this.numBytesAllocated-=t)}getNumUsedBuffers(){return this.numUsedBuffers}getNumFreeBuffers(){return this.numFreeBuffers}dispose(){this.freeBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedBuffers.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeBuffers=new Map,this.usedBuffers=new Map,this.numUsedBuffers=0,this.numFreeBuffers=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function cB(r,e){return`${r}_${e}`}var Gg=class{constructor(e){this.device=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures=new Map,this.usedTextures=new Map,this.numBytesUsed=0,this.numBytesAllocated=0}acquireTexture(e,t,o,n){let s=mB(o),a=e*t*s,i=lB(e,t,o,n);if(this.freeTextures.has(i)||this.freeTextures.set(i,[]),this.usedTextures.has(i)||this.usedTextures.set(i,[]),this.numBytesUsed+=a,this.numUsedTextures++,this.freeTextures.get(i).length>0){this.numFreeTextures--;let u=this.freeTextures.get(i).shift();return this.usedTextures.get(i).push(u),u}this.numBytesAllocated+=a;let p=this.device.createTexture({size:[e,t],format:o,usage:n});return this.usedTextures.get(i).push(p),p}releaseTexture(e,t,o,n,s){if(this.freeTextures.size===0)return;let a=lB(t,o,n,s);this.freeTextures.has(a)||this.freeTextures.set(a,[]),this.freeTextures.get(a).push(e),this.numFreeTextures++,this.numUsedTextures--;let i=this.usedTextures.get(a),p=i.indexOf(e);if(p<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(p,1);let u=mB(n),c=t*o*u;this.numBytesUsed-=c}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){this.freeTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.usedTextures.forEach((e,t)=>{e.forEach(o=>{o.destroy()})}),this.freeTextures=new Map,this.usedTextures=new Map,this.numUsedTextures=0,this.numFreeTextures=0,this.numBytesUsed=0,this.numBytesAllocated=0}};function lB(r,e,t,o){return`${r}_${e}_${t}_${o}`}function mB(r){if(r==="rgba8unorm")return 16;throw new Error(`${r} is not supported!`)}function dB(r,e){if(Math.max(...r)>5)throw new Error("Cannot symbolically compute strides for rank > 6 tensor.");let t=r.length,o="xyzwuv",n=r.map(a=>`${e}.${o[a]}`),s=new Array(t-1);s[t-2]=n[t-1];for(let a=t-3;a>=0;--a)s[a]=`(${s[a+1]} * ${n[a+1]})`;return s}var Bs=(r,e,t)=>t==="int32"?`atomicAdd(${r}, bitcast(${e}));`:` { var oldValue = 0; loop { @@ -4882,12 +4998,12 @@ return a / b;`,M7=` } oldValue = res.old_value; } - }`;var M3=(r,e,t,o)=>{let n={dtype:o.dtype,shape:o.shape},s=Yee(t,n,e),a=r.createShaderModule({code:s,label:e.constructor.name});return r.createComputePipeline({compute:{module:a,entryPoint:"_start"},label:e.constructor.name,layout:"auto"})};function Rt(r){if(r<=1)return"i32";if(r===2)return"vec2";if(r===3)return"vec3";if(r===4)return"vec4";if(r===5)return"vec5";if(r===6)return"vec6";throw Error(`GPU for rank ${r} is not yet supported`)}function Ao(r){if(r===0)return"x";if(r===1)return"y";if(r===2)return"z";if(r===3)return"w";if(r===4)return"u";if(r===5)return"v";throw Error(`Index ${r} is not yet supported`)}function Q(...r){let e;switch(r.length){case 0:e=` + }`;var xB=(r,e,t,o,n)=>{let s={dtype:o.dtype,shape:o.shape},a=nse(t,s,e),i=r.createShaderModule({code:a,label:e.constructor.name}),p=r.createComputePipeline({compute:{module:i,entryPoint:"_start"},label:e.constructor.name,layout:"auto"}),u=P().get("WEBGPU_PRINT_SHADER");if(u!==""){u=u.toLowerCase();let c=u.split(",");(u==="all"||c.some(l=>n.toLowerCase().includes(l)))&&(console.group(n),console.debug(a),console.groupEnd())}return p},Ae=(r,e="f32")=>{switch(r){case 1:return`${e}`;case 2:return`vec2<${e}>`;case 3:return`vec3<${e}>`;case 4:return`vec4<${e}>`;default:throw new Error(`${r}-component ${e} is not supported.`)}};function Nt(r){if(r<=1)return"i32";if(r===2)return"vec2";if(r===3)return"vec3";if(r===4)return"vec4";if(r===5)return"vec5";if(r===6)return"vec6";throw Error(`GPU for rank ${r} is not yet supported`)}function Po(r){if(r===0)return"x";if(r===1)return"y";if(r===2)return"z";if(r===3)return"w";if(r===4)return"u";if(r===5)return"v";throw Error(`Index ${r} is not yet supported`)}function K(...r){let e;switch(r.length){case 0:e=` fn main() `;break;case 1:e=` fn main(${r[0]} : i32) - `;break;default:throw Error("Unreachable")}return e}function D3(r,e){let t;return t=` - ${Xee(e)} + `;break;default:throw Error("Unreachable")}return e}function fB(r,e){let t;return t=` + ${ose(e)} fn _start(@builtin(local_invocation_id) LocalId : vec3, @builtin(global_invocation_id) GlobalId : vec3, @builtin(local_invocation_index) LocalIndex: u32, @@ -4900,9 +5016,9 @@ return a / b;`,M7=` workgroupId = WorkgroupId; ${r?"main(getGlobalIndex());":"main();"}; } - `,t}function Xee(r){return` + `,t}function ose(r){return` @compute @workgroup_size(${r.workgroupSize[0]}, ${r.workgroupSize[1]}, ${r.workgroupSize[2]}) -`}function Yee(r,e,t){let o=[],n=t.workgroupSize[0]*t.workgroupSize[1]*t.workgroupSize[2];if(o.push(` +`}function nse(r,e,t){let o=[],n=t.workgroupSize[0]*t.workgroupSize[1]*t.workgroupSize[2];if(t.outputComponent=t.outputComponent?t.outputComponent:1,o.push(` var localId: vec3; var localIndex: u32; @@ -4912,7 +5028,7 @@ return a / b;`,M7=` // Only used when the y/z dimension of workgroup size is 1. fn getGlobalIndex() -> i32 { - ${B3(t)?" return i32(globalId.x);":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + + ${bB(t)?" return i32(globalId.x);":` return i32((workgroupId.z * numWorkgroups.x * numWorkgroups.y + workgroupId.y * numWorkgroups.x + workgroupId.x) * ${n}u + localIndex); `} @@ -4924,23 +5040,23 @@ return a / b;`,M7=` outShapeStrides : vec2, }; - @group(0) @binding(0) var result: array<${vc(e.dtype,t.isVec4)}>; + @group(0) @binding(0) var result: array<${kp(e.dtype,t.outputComponent)}>; @group(0) @binding(2) var uniforms: Uniform; - `);let f=P3(t);return[F3,o.join(` -`),O3(e.shape),t.getUserCode(),D3(f,t)].join(` -`)}let s="struct Uniforms { NAN : f32, INFINITY : f32, ";t.variableNames.forEach((f,h)=>{let g=Rt(r[h].shape.length);s+=`${f.charAt(0).toLowerCase()+f.slice(1)}Shape : ${g}, `});let a=Rt(e.shape.length);s+=`outShape : ${a}, `;let i=e.shape.length-1,p=Rt(i);s+=` - outShapeStrides: ${p}, `,t.size&&(s+="size : i32, "),t.uniforms&&(s+=t.uniforms),s+="};",s=nte(s),o.push(s),t.atomic?o.push(` + `);let f=gB(t);return[hB,o.join(` +`),Dv(e.shape),t.getUserCode(),fB(f,t)].join(` +`)}let s,a,i="struct Uniforms { NAN : f32, INFINITY : f32, ";t.variableNames.forEach((f,h)=>{let g=Nt(r[h].shape.length);i+=`${f.charAt(0).toLowerCase()+f.slice(1)}Shape : ${g}, `,s=r[h].shape.length-1,a=Nt(s),i+=`${f.charAt(0).toLowerCase()+f.slice(1)}ShapeStrides: ${a}, `});let p=Nt(e.shape.length);i+=`outShape : ${p}, `,s=e.shape.length-1,a=Nt(s),i+=` + outShapeStrides: ${a}, `,t.size&&(i+="size : i32, "),t.uniforms&&(i+=t.uniforms),i+="};",i=mse(i),o.push(i),t.atomic?o.push(` @group(0) @binding(0) var result: array>; `):o.push(` - @group(0) @binding(0) var result: array<${vc(e.dtype,t.isVec4)}>; + @group(0) @binding(0) var result: array<${kp(e.dtype,t.outputComponent)}>; `),t.variableNames.forEach((f,h)=>{o.push(` - @group(0) @binding(${1+h}) var ${f}: array<${t.variableTypes?t.variableTypes[h]:vc(r[h].dtype,t.isVec4)}>; - `)}),s!==""&&o.push(` + @group(0) @binding(${1+h}) var ${f}: array<${t.variableComponents?kp(r[h].dtype,t.variableComponents[h]):kp(r[h].dtype,t.outputComponent)}>; + `)}),i!==""&&o.push(` @group(0) @binding(${1+t.variableNames.length}) var uniforms: Uniforms; - `);let u=tte(e.shape,t.dispatchLayout),c=[F3,o.join(` -`)+Qee,O3(e.shape),u,rte(e.shape.length)];t.atomic||c.push(ote(e.shape,e.dtype,t.isVec4));let l=r.map((f,h)=>ete(f,e.shape,t.variableTypes?t.variableTypes[h]==="vec4":t.isVec4,t.dispatchLayout.x.length===e.shape.length)).join(` -`);c.push(l),c.push(t.getUserCode());let m=P3(t);return c.push(D3(m,t)),c.join(` -`)}function L3(r,e,t,o){let n=r.shaderKey;if(r.isFromPixels)return n;let s=t.map(c=>c.dtype).concat(o.dtype),a=t.map(c=>S.getBroadcastDims(c.shape,o.shape)),i=t.map(c=>y.arraysEqual(c.shape,o.shape)).join("_"),p=a.map(c=>c.join("_")).join(";"),u=B3(r)?"flatDispatch":"";return n+="_"+(r.workgroupSize?r.workgroupSize.join(","):"")+e.map(c=>c.length).join(",")+s.join(",")+r.variableNames.join(",")+p+i+u,n}var F3=` + `);let u=pse(e.shape,t.dispatchLayout),c=[hB,o.join(` +`)+sse,Dv(e.shape),u,cse(e.shape.length)];t.atomic||c.push(lse(e.shape,e.dtype,t.outputComponent)),t.variableNames.forEach((f,h)=>{c.push(`${Dv(r[h].shape,f)}`)});let l=r.map((f,h)=>use(f,e.shape,t.variableComponents?t.variableComponents[h]:t.outputComponent,t.dispatchLayout.x.length===e.shape.length)).join(` +`);c.push(l),c.push(t.getUserCode());let m=gB(t);return c.push(fB(m,t)),c.join(` +`)}function yB(r,e,t,o){let n=r.shaderKey;if(r.isFromPixels)return n;let s=t.map(c=>c.dtype).concat(o.dtype),a=t.map(c=>C.getBroadcastDims(c.shape,o.shape)),i=t.map(c=>y.arraysEqual(c.shape,o.shape)).join("_"),p=a.map(c=>c.join("_")).join(";"),u=bB(r)?"flatDispatch":"";return n+="_"+(r.workgroupSize?r.workgroupSize.join(","):"")+e.map(c=>c.length).join(",")+s.join(",")+r.variableNames.join(",")+p+i+u,n}var hB=` struct vec5 {x: i32, y: i32, z: i32, w: i32, u: i32}; struct vec6 {x: i32, y: i32, z: i32, w: i32, u: i32, v: i32}; @@ -4999,100 +5115,63 @@ return a / b;`,M7=` let floatToUint: vec4 = bitcast>(val); return (floatToUint & vec4(0x7fffffffu)) > vec4(0x7f800000u); } -`,Qee=` +`,sse=` fn isinf(val: f32) -> bool { return abs(val) == uniforms.INFINITY; } -`;function O3(r){let e=r.length;if(e<=1)return"fn getCoordsFromIndex(index : i32) -> i32 { return index; }";let t=y.computeStrides(r),o=Rt(e),n=[];for(let a=0;a vec2 { - let d0 = index / uniforms.outShapeStrides; let d1 = index - d0 * uniforms.outShapeStrides; +`;function Dv(r,e=""){let t=r.length,o=e!==""?`get${e.charAt(0).toUpperCase()+e.slice(1)}CoordsFromIndex`:"getCoordsFromIndex",n=e!==""?`${e.charAt(0).toLowerCase()+e.slice(1)}ShapeStrides`:"outShapeStrides";if(t<=1)return`fn ${o}(index : i32) -> i32 { return index; }`;let s=y.computeStrides(r),a=Nt(t),i=[];for(let u=0;u vec2 { + let d0 = index / uniforms.${n}; let d1 = index - d0 * uniforms.${n}; return vec2(d0, d1); - }`;let s;return s="var index2 = index;"+t.map((a,i)=>{let p=`let ${n[i]} = index2 / uniforms.outShapeStrides.${Ao(i)}`,u=i===t.length-1?`let ${n[i+1]} = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}`:`index2 = index2 - ${n[i]} * uniforms.outShapeStrides.${Ao(i)}`;return`${p}; ${u};`}).join(""),` - fn getCoordsFromIndex(index : i32) -> ${o} { - ${s} - return ${o}(${n.join(",")}); + }`;let p;return p="var index2 = index;"+s.map((u,c)=>{let l=`let ${i[c]} = index2 / uniforms.${n}.${Po(c)}`,m=c===s.length-1?`let ${i[c+1]} = index2 - ${i[c]} * uniforms.${n}.${Po(c)}`:`index2 = index2 - ${i[c]} * uniforms.${n}.${Po(c)}`;return`${l}; ${m};`}).join(""),` + fn ${o}(index : i32) -> ${a} { + ${p} + return ${a}(${i.join(",")}); } - `}function Zee(r,e){let t=r.name,o=r.shape.length,n=Rt(o),s="get"+t.charAt(0).toUpperCase()+t.slice(1),a=["d0","d1","d2","d3","d4","d5"].slice(0,o),i=a.map(c=>`${c} : i32`).join(", ");if(o<1)return e?` - fn ${s}() -> vec4 { - return vec4(${t}[0]); - } - `:` - fn ${s}() ->f32 { - return f32(${t}[0]); + `}function ase(r,e){let t=r.name,o=r.shape.length,n=Nt(o),s="get"+t.charAt(0).toUpperCase()+t.slice(1),a=["d0","d1","d2","d3","d4","d5"].slice(0,o),i=a.map(c=>`${c} : i32`).join(", ");if(o<1)return` + fn ${s}() -> ${Ae(e)} { + return ${Ae(e)}(${t}[0]); } - `;let p=`uniforms.${t.charAt(0).toLowerCase()+t.slice(1)}Shape`,u=`${o}D`;return o===0&&(u="1D"),e?` - fn ${s}(${i}) -> vec4 { - return vec4(${t}[getIndexFromCoords${u}(${n}(${a.join(",")}), - ${p}) / 4]); - } - `:` - fn ${s}(${i}) -> f32 { - return f32(${t}[getIndexFromCoords${u}(${n}(${a.join(",")}), - ${p})]); + `;let p=`uniforms.${t.charAt(0).toLowerCase()+t.slice(1)}Shape`,u=`${o}D`;return o===0&&(u="1D"),` + fn ${s}(${i}) -> ${Ae(e)} { + return ${Ae(e)}(${t}[getIndexFromCoords${u}(${n}(${a.join(",")}), + ${p})${e===1?"":` / ${e}`}]); } - `}function Jee(r,e,t,o){let n=r.name,s=n.charAt(0).toUpperCase()+n.slice(1),a="get"+s+"ByOutput",i=r.shape.length,p=e.length,u=Rt(p);if(y.arraysEqual(r.shape,e)&&o)return t?` - fn ${a}Index(globalIndex : i32) -> vec4 { - return vec4(${n}[globalIndex]); - } - - fn ${a}Coords(coords : ${u}) -> vec4 { - return vec4(${n}[${p>1?"getOutputIndexFromCoords(coords)":"coords"} / 4]); - } - `:` - fn ${a}Index(globalIndex : i32) -> f32 { - return f32(${n}[globalIndex]); + `}function ise(r,e,t,o){let n=r.name,s=n.charAt(0).toUpperCase()+n.slice(1),a="get"+s+"ByOutput",i=r.shape.length,p=e.length,u=Nt(p);if(y.arraysEqual(r.shape,e)&&o)return` + fn ${a}Index(globalIndex : i32) -> ${Ae(t)} { + return ${Ae(t)}(${n}[globalIndex]); } - fn ${a}Coords(coords : ${u}) -> f32 { - return f32(${n}[${p>1?"getOutputIndexFromCoords(coords)":"coords"}]); + fn ${a}Coords(coords : ${u}) -> ${Ae(t)} { + return ${Ae(t)}(${n}[${p>1?"getOutputIndexFromCoords(coords)":"coords"}${t===1?"":` / ${t}`}]); } - `;let c=S.getBroadcastDims(r.shape,e),l=p-i,m="";if(i===0)return t?` - fn ${a}Index(globalIndex : i32) -> vec4 { + `;let c=C.getBroadcastDims(r.shape,e),l=p-i,m="";if(i===0)return` + fn ${a}Index(globalIndex : i32) -> ${Ae(t)}{ return get${s}(); } - fn ${a}Coords(coords : ${u}) -> vec4 { + fn ${a}Coords(coords : ${u}) -> ${Ae(t)}{ return get${s}(); } - `:` - fn ${a}Index(globalIndex : i32) -> f32{ - return get${s}(); - } - - fn ${a}Coords(coords : ${u}) -> f32{ - return get${s}(); - } - `;p<2&&c.length>=1?m="coords = 0;":m=c.map(g=>`coords.${Ao(g+l)} = 0;`).join(` -`);let d="";if(p<2&&i>0)d="coords";else if(p>1){let g=Rt(i),x=r.shape.map((b,C)=>`coords.${Ao(C+l)}`).join(", ");d=`${g}(${x})`}else d="coords";let f=`uniforms.${n.charAt(0).toLowerCase()+n.slice(1)}Shape`,h=`${i}D`;return t?` - fn ${a}Index(globalIndex : i32) -> vec4 { - var coords = getCoordsFromIndex(globalIndex); - ${m} - return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4]; - } - - fn ${a}Coords(coordsIn : ${u}) -> vec4 { - var coords = coordsIn; - ${m} - return ${n}[getIndexFromCoords${h}(${d}, ${f}) / 4]; - } - `:` - fn ${a}Index(globalIndex : i32) -> f32 { + `;p<2&&c.length>=1?m="coords = 0;":m=c.map(g=>`coords.${Po(g+l)} = 0;`).join(` +`);let d="";if(p<2&&i>0)d="coords";else if(p>1){let g=Nt(i),x=r.shape.map((b,w)=>`coords.${Po(w+l)}`).join(", ");d=`${g}(${x})`}else d="coords";let f=`uniforms.${n.charAt(0).toLowerCase()+n.slice(1)}Shape`,h=`${i}D`;return` + fn ${a}Index(globalIndex : i32) -> ${Ae(t)} { var coords = getCoordsFromIndex(globalIndex); ${m} - return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]); + return ${Ae(t)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t===1?"":` / ${t}`}]); } - fn ${a}Coords(coordsIn : ${u}) -> f32 { + fn ${a}Coords(coordsIn : ${u}) -> ${Ae(t)} { var coords = coordsIn; ${m} - return f32(${n}[getIndexFromCoords${h}(${d}, ${f})]); + return ${Ae(t)}(${n}[getIndexFromCoords${h}(${d}, ${f})${t===1?"":` / ${t}`}]); } -`}function ete(r,e,t,o){let n=Zee(r,t);return r.shape.length<=e.length&&(n+=Jee(r,e,t,o)),n}function tte(r,e){let{x:t,y:o=[],z:n=[]}=e,s=r.length,a=t.length+o.length+n.length;if(a!==s)return"";if(t.length===s)return`fn getOutputCoords() -> ${Rt(s)}{ +`}function use(r,e,t,o){let n=ase(r,t);return r.shape.length<=e.length&&(n+=ise(r,e,t,o)),n}function pse(r,e){let{x:t,y:o=[],z:n=[]}=e,s=r.length,a=t.length+o.length+n.length;if(a!==s)return"";if(t.length===s)return`fn getOutputCoords() -> ${Nt(s)}{ let globalIndex = getGlobalIndex(); return getCoordsFromIndex(globalIndex); } - `;let i="",p=[t,o,n];for(let m=0;m ${c} { + `;let i="",p=[t,o,n];for(let m=0;m ${c} { ${i} -`;return u.length===0?l+=`return ${c}(0); }`:l+=`return ${c}(${u.join(",")}); }`,l}function rte(r){let e="";switch(r){case 0:case 1:e+=` +`;return u.length===0?l+=`return ${c}(0); }`:l+=`return ${c}(${u.join(",")}); }`,l}function cse(r){let e="";switch(r){case 0:case 1:e+=` fn getOutputIndexFromCoords(coords : i32) -> i32 { return coords; } @@ -5126,47 +5205,33 @@ return a / b;`,M7=` coords.u * uniforms.outShapeStrides.u + coords.v; } - `;break;default:y.assert(!1,()=>`Unsupported ${r}D shape`);break}return e}function B3(r){return r.dispatch[1]===1&&r.dispatch[2]===1}function vc(r,e){return r==="float32"?e?"vec4":"f32":r==="int32"||r==="bool"?e?"vec4":"i32":r}function ote(r,e,t){let o=r.length,n=vc(e,t),s;if(t?s=`fn setOutputAtIndex(flatIndex : i32, value : vec4) { + `;break;default:y.assert(!1,()=>`Unsupported ${r}D shape`);break}return e}function bB(r){return r.dispatch[1]===1&&r.dispatch[2]===1}function kp(r,e=1){if(r==="float32")return Ae(e,"f32");if(r==="int32"||r==="bool")return Ae(e,"i32");throw new Error(`type ${r} is not supported.`)}function lse(r,e,t){let o=r.length,n=kp(e,t),s=`fn setOutputAtIndex(flatIndex : i32, value : ${Ae(t)}) { result[flatIndex] = ${n}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : vec4) { - result[flatIndex] = ${n}(value); - }`:s=`fn setOutputAtIndex(flatIndex : i32, value : f32) { + + fn setOutputAtIndexI32(flatIndex : i32, value : ${Ae(t,"i32")}) { result[flatIndex] = ${n}(value); } - fn setOutputAtIndexI32(flatIndex : i32, value : i32) { - result[flatIndex] = ${n}(value); - }`,o>=2){let a=["d0","d1","d2","d3","d4","d5"].slice(0,o),i=Rt(o);t?s+=` - fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(", ")}, value : vec4) { + `;if(o>=2){let a=["d0","d1","d2","d3","d4","d5"].slice(0,o),i=Nt(o);s+=` + fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(", ")}, value : ${Ae(t)}) { let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndex(flatIndex / 4, value); + setOutputAtIndex(flatIndex${t===1?"":` / ${t}`}, value); } - fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(", ")}, value : vec4) { + fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(", ")}, value : ${Ae(t,"i32")}) { let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndexI32(flatIndex / 4, value); + setOutputAtIndexI32(flatIndex${t===1?"":` / ${t}`}, value); } - `:s+=` - fn setOutputAtCoords(${a.map(p=>`${p} : i32`).join(", ")}, value : f32) { - let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndex(flatIndex, value); - } - fn setOutputAtCoordsI32(${a.map(p=>`${p} : i32`).join(", ")}, value : i32) { - let flatIndex = getOutputIndexFromCoords(${i}(${a.join(", ")})); - setOutputAtIndexI32(flatIndex, value); - } - `}return s}function nte(r){let e=/(\w+)\s*:\s*vec(5|6)/g;r=r.replace(e,o=>"@align(16) "+o);let t=/vec(5|6)\s*,\s*(\w+)/g;return r=r.replace(t,(o,n,s)=>`vec${n}, @align(16) ${s}`),r}function P3(r){return!(r.dispatchLayout.hasOwnProperty("y")&&r.dispatchLayout.y.length!==0||r.dispatchLayout.hasOwnProperty("z")&&r.dispatchLayout.z.length!==0)}var hI={};Ge(hI,{GPUBytesPerElement:()=>_g,MatMulProgramType:()=>Ro,assertNotComplex:()=>fI,computeDispatch:()=>Y,computeWorkPerThreadForConv2d:()=>Vl,computeWorkgroupInfoForMatMul:()=>dI,computeWorkgroupSizeForConv2d:()=>Bl,flatDispatchLayout:()=>ae,isWebGPUSupported:()=>zl,tilesFitEvenlyIntoShape:()=>ate});var Ku=r=>{let e=1;for(let t=0;tt%r[o]===0)}function Y(r,e,t=[1,1,1],o=[1,1,1]){let[n,s,a]=[Math.ceil(Ku(r.x.map(i=>e[i]))/(t[0]*o[0])),r.y?Math.ceil(Ku(r.y.map(i=>e[i]))/(t[1]*o[1])):1,r.z?Math.ceil(Ku(r.z.map(i=>e[i]))/(t[2]*o[2])):1];return[n,s,a]}function dI(r,e,t,o=!1){let n=[8,8,1],s=[4,4,1];return o||(r<=8&&(s[1]=1),e<=16&&t<=16&&(n[0]=4)),{workgroupSize:n,elementsPerThread:s}}function Bl(r,e,t=!1){if(t)return[8,8,1];let o=Ku(r.x.map(s=>e[s])),n=Ku(r.y.map(s=>e[s]));return o<=4?[4,16,1]:n<=4?[16,4,1]:[16,16,1]}function Vl(r,e,t=!1){if(t)return[4,4,1];let o=Ku(r.x.map(s=>e[s])),n=Ku(r.y.map(s=>e[s]));return o<=4?[1,2,1]:n<=4?[2,1,1]:[2,2,1]}function ae(r){return{x:r.map((e,t)=>t)}}function _g(r){if(r==="float32"||r==="int32"||r==="bool"||r==="string")return 4;if(r==="complex64")return 8;throw new Error(`Unknown dtype ${r}`)}function zl(){return(typeof window!="undefined"||typeof WorkerGlobalScope!="undefined")&&!!navigator.gpu}function fI(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the WebGPU backend.`)})}var Ro;(function(r){r[r.MatMulReduceProgram=0]="MatMulReduceProgram",r[r.MatMulSplitKProgram=1]="MatMulSplitKProgram",r[r.MatMulSmallOutputSizeProgram=2]="MatMulSmallOutputSizeProgram",r[r.MatMulPackedProgram=3]="MatMulPackedProgram",r[r.MatMulMax=4]="MatMulMax"})(Ro||(Ro={}));var ite=O().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"),ute=(r,e)=>{let t=r.limits.maxComputeWorkgroupsPerDimension,o=e.dispatchLayout,n=e.dispatch;if(n.every(a=>a<=t))return n;y.assert(n[0]>t&&o.y===void 0&&o.z===void 0,()=>"Dispatch size exceeds WebGPU limits in Y or Z dimension.");let s=Math.ceil(Math.sqrt(n[0]));return s>t?(s=Math.ceil(Math.cbrt(n[0])),y.assert(s<=t,()=>"Total dispatch size exceeds WebGPU maximum."),[s,s,s]):[s,s,1]},Gi=class extends Zr{constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!zl())throw new Error("WebGPU is not supported on this device");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has("timestamp-query-inside-passes"),this.adapterInfo=new kg(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new Ng(this.device),this.textureManager=new Tg(this.device),this.tensorMap=new Fo(this,sr()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:2})),O().getBool("WEBGPU_USE_PROFILE_TOOL")&&(this.dummyCanvas=document.createElement("canvas"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext("webgpu"),this.dummyContext.configure({device:e,format:"bgra8unorm"}),document.body.appendChild(this.dummyCanvas))}nextDataId(){return Gi.nextDataId++}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let o=this.tensorMap.get(e);if(this.decRef(e),!t&&o.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if("texture"in t.resourceInfo){let o=t.resourceInfo;o.texture instanceof GPUTexture&&this.textureManager.releaseTexture(o.texture,o.width,o.height,o.format,o.usage),o.texture=null}else{let o=t.resourceInfo;this.bufferManager.releaseBuffer(o.buffer,o.size,o.usage),o.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,o){if(o==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:o,shape:t,values:e,refCount:1}),n}move(e,t,o,n,s){if(n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.tensorMap.set(e,{dtype:n,shape:o,values:t,refCount:s})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseUploadBuffer(e.buffer,e.size,e.usage)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let o=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,o,0,t),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=o.getMappedRange().slice(0);return o.unmap(),o!=null&&this.bufferManager.releaseBuffer(o,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),O().getBool("WEBGPU_USE_PROFILE_TOOL")&&(y.assert(this.dummyContext!==void 0,()=>"Fail to get context for profiling tool"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let o=this.tensorMap.get(e);return this.releaseResource(e),o.values=t,o.values}readSync(e){let t=this.tensorMap.get(e),{values:o}=t;if(o==null)throw new Error("WebGPU readSync is only available for CPU-resident tensors.");return o}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:o}=t;if(o!=null)return this.convertAndCacheOnCPU(e,o);let n;if(t.dtype==="complex64"){let s=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),a=s[0],i=s[1];n=S.mergeRealAndImagArrays(a,i)}else{let s=t.resourceInfo,a=await this.getBufferData(s.buffer,s.size);n=y.convertBackendValuesAndArrayBuffer(a,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,o){let n=this.bufferManager.acquireBuffer(t,o);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,o){let n=e.buffer;if(o==="complex64")throw new Error("Cannot write to a complex64 dtype. ");let s={id:this.nextDataId()};this.tensorMap.set(s,{dtype:o,shape:t,values:null,refCount:1,external:e.zeroCopy});let a=this.tensorMap.get(s),i=_g(a.dtype)*y.sizeFromShape(a.shape);if(e.buffer.sizey.decodeString(n));return le(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return le(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn("This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.");let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),a=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},p=await Promise.all(s);return i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", "),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,o){return t==="string"&&o!=null&&o.length>0&&y.isString(o[0])&&(o=o.map(s=>y.encodeString(s))),{dataId:this.write(o,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if("texture"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let o=t.resourceInfo;return{offset:0,size:o.size,buffer:o.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let o=_g(t.dtype)*y.sizeFromShape(t.shape),n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage());if(t.resourceInfo={size:o,usage:this.defaultGpuBufferUsage(),buffer:n},t.values){let s=this.bufferManager.acquireUploadBuffer(o,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC),a=s.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(a).set(t.values):new Float32Array(a).set(t.values),s.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(s,0,n,0,o);let i={size:o,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:s};this.stagingPendingDisposal.push(i)}}makeUniforms(e){let t=0,o=0,n=[],s=1;e.forEach(u=>{u.data.length===0&&(u.data=[1]);let c;switch(u.data.length){case 1:c=4;break;case 2:c=8;break;case 3:c=16;break;case 4:c=16;break;case 5:c=16;break;case 6:c=16;break;default:y.assert(!1,()=>`Unsupported ${u.data.length}D shape`)}(o===5||o===6)&&(c=16),c>s&&(s=c),t=Math.ceil(t/c)*c,o=u.data.length,n.push(t),t+=u.data.length*4}),t=Math.ceil(t/s)*s;let a=new ArrayBuffer(t);e.forEach((u,c)=>{let l=n[c];u.type==="int32"?new Int32Array(a,l,u.data.length).set(u.data):u.type==="uint32"?new Uint32Array(a,l,u.data.length).set(u.data):new Float32Array(a,l,u.data.length).set(u.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,a,0,t);let p={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(p),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,o,n,s){if(s||(s=this.makeTensorInfo(e.outputShape,o)),y.sizeFromShape(s.shape)===0)return this.tensorMap.get(s.dataId).values=y.getTypedArrayFromDType(s.dtype,0),s;this.uploadToGPU(s.dataId),e.dispatch=ute(this.device,e);let a=[],i=[];if(!e.isFromPixels){a.push({type:"float32",data:[NaN]},{type:"float32",data:[1/0]}),i=t.concat(s).map(x=>x.shape);let h="int32";i.map(x=>{a.push({type:h,data:x})});let g=y.computeStrides(s.shape);if(a.push({type:h,data:g}),e.size){let x=y.sizeFromShape(e.outputShape);a.push({type:h,data:[e.isVec4?x/4:x]})}}let p=t.map((h,g)=>{if(h.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");return this.uploadToGPU(h.dataId),{dtype:this.tensorMap.get(h.dataId).dtype,shape:h.shape,name:e.variableNames[g]}}),u=L3(e,i,p,s),c;u in this.pipelineCache?c=this.pipelineCache[u]:(c=M3(this.device,e,p,s),this.pipelineCache[u]=c),n&&(a=[...a,...n]);let l=[this.tensorToBinding(s),...t.map(h=>this.tensorToBinding(h)),this.makeUniforms(a)],m=this.device.createBindGroup({layout:c.getBindGroupLayout(0),entries:l.map((h,g)=>({binding:g,resource:h}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),f=this.activeTimers!=null;return f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(c),d.setBindGroup(0,m),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(h=>{this.commandQueueOwnedIds.add(h.dataId)}),this.commandQueueOwnedIds.add(s.dataId),O().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE")<=this.dispatchNumberInEncoder&&this.submitQueue(),f&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),s}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),o=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,o,0,16),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(o.getMappedRange()),s=Number(n[1]-n[0]);return o.unmap(),this.bufferManager.releaseBuffer(o,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),s/1e6}shouldExecuteOnCPU(e,t=ite){return O().getBool("WEBGPU_CPU_FORWARD")&&e.every(o=>this.tensorMap.get(o.dataId).resourceInfo==null&&y.sizeFromShape(o.shape){O().set("CHECK_COMPUTATION_FOR_ERRORS",!1);let r={powerPreference:O().get("WEBGPU_USE_LOW_POWER_GPU")?"low-power":"high-performance"},e=await navigator.gpu.requestAdapter(r),t={};e.features.has("timestamp-query-inside-passes")&&(t.requiredFeatures=["timestamp-query-inside-passes"]);let o=e.limits;t.requiredLimits={maxComputeWorkgroupStorageSize:o.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:o.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:o.maxStorageBufferBindingSize};let n=await e.requestDevice(t),s=await e.requestAdapterInfo();return new Gi(n,s)},3);var ge;(function(r){r[r.ADD=0]="ADD",r[r.ATAN2=1]="ATAN2",r[r.COMPLEX_MULTIPLY_IMAG=2]="COMPLEX_MULTIPLY_IMAG",r[r.COMPLEX_MULTIPLY_REAL=3]="COMPLEX_MULTIPLY_REAL",r[r.DIV=4]="DIV",r[r.EQUAL=5]="EQUAL",r[r.GREATER=6]="GREATER",r[r.GREATER_EQUAL=7]="GREATER_EQUAL",r[r.INT_DIV=8]="INT_DIV",r[r.LESS=9]="LESS",r[r.LESS_EQUAL=10]="LESS_EQUAL",r[r.LOGICAL_AND=11]="LOGICAL_AND",r[r.LOGICAL_OR=12]="LOGICAL_OR",r[r.MAX=13]="MAX",r[r.MIN=14]="MIN",r[r.MOD=15]="MOD",r[r.MUL=16]="MUL",r[r.NOT_EQUAL=17]="NOT_EQUAL",r[r.POW=18]="POW",r[r.PRELU=19]="PRELU",r[r.SQUARED_DIFFERENCE=20]="SQUARED_DIFFERENCE",r[r.SUB=21]="SUB"})(ge||(ge={}));var V3=` - if (isnan(a)) { return a; } - if (isnan(b)) { return b; } - `,$g=` + `}return s}function mse(r){let e=/(\w+)\s*:\s*vec(5|6)/g;r=r.replace(e,o=>"@align(16) "+o);let t=/vec(5|6)\s*,\s*(\w+)/g;return r=r.replace(t,(o,n,s)=>`vec${n}, @align(16) ${s}`),r}function gB(r){return!(r.dispatchLayout.hasOwnProperty("y")&&r.dispatchLayout.y.length!==0||r.dispatchLayout.hasOwnProperty("z")&&r.dispatchLayout.z.length!==0)}var Fv={};He(Fv,{GPUBytesPerElement:()=>Hg,MatMulProgramType:()=>Oo,assertNotComplex:()=>cm,computeDispatch:()=>q,computeWorkPerThreadForConv2d:()=>um,computeWorkgroupInfoForMatMul:()=>Av,computeWorkgroupSizeForConv2d:()=>im,flatDispatchLayout:()=>Z,isWebGPUSupported:()=>pm,tilesFitEvenlyIntoShape:()=>fse});var Np=r=>{let e=1;for(let t=0;tt%r[o]===0)}function q(r,e,t=[1,1,1],o=[1,1,1]){let[n,s,a]=[Math.ceil(Np(r.x.map(i=>e[i]))/(t[0]*o[0])),r.y?Math.ceil(Np(r.y.map(i=>e[i]))/(t[1]*o[1])):1,r.z?Math.ceil(Np(r.z.map(i=>e[i]))/(t[2]*o[2])):1];return[n,s,a]}function Av(r,e,t,o=!1){let n=[8,8,1],s=[4,4,1];return o||(r<=8&&(s[1]=1),e<=16&&t<=16&&(n[0]=4)),{workgroupSize:n,elementsPerThread:s}}function im(r,e,t=!1){if(t)return[8,8,1];let o=Np(r.x.map(s=>e[s])),n=Np(r.y.map(s=>e[s]));return o<=4?[4,16,1]:n<=4?[16,4,1]:[16,16,1]}function um(r,e,t=!1){if(t)return[4,4,1];let o=Np(r.x.map(s=>e[s])),n=Np(r.y.map(s=>e[s]));return o<=4?[1,2,1]:n<=4?[2,1,1]:[2,2,1]}function Z(r){return{x:r.map((e,t)=>t)}}function Hg(r){if(r==="float32"||r==="int32"||r==="bool"||r==="string")return 4;if(r==="complex64")return 8;throw new Error(`Unknown dtype ${r}`)}function pm(){return(typeof window!="undefined"||typeof WorkerGlobalScope!="undefined")&&!!navigator.gpu}function cm(r,e){Array.isArray(r)||(r=[r]),r.forEach(t=>{t!=null&&y.assert(t.dtype!=="complex64",()=>`${e} does not support complex64 tensors in the WebGPU backend.`)})}var Oo;(function(r){r[r.MatMulReduceProgram=0]="MatMulReduceProgram",r[r.MatMulSplitKProgram=1]="MatMulSplitKProgram",r[r.MatMulSmallOutputSizeProgram=2]="MatMulSmallOutputSizeProgram",r[r.MatMulPackedProgram=3]="MatMulPackedProgram",r[r.MatMulMax=4]="MatMulMax"})(Oo||(Oo={}));var hse=P().getNumber("WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD"),gse=(r,e)=>{let t=r.limits.maxComputeWorkgroupsPerDimension,o=e.dispatchLayout,n=e.dispatch;if(n.every(a=>a<=t))return n;y.assert(n[0]>t&&o.y===void 0&&o.z===void 0,()=>"Dispatch size exceeds WebGPU limits in Y or Z dimension.");let s=Math.ceil(Math.sqrt(n[0]));return s>t?(s=Math.ceil(Math.cbrt(n[0])),y.assert(s<=t,()=>"Total dispatch size exceeds WebGPU maximum."),[s,s,s]):[s,s,1]},Cu=class extends ro{nextDataId(){return Cu.nextDataId++}constructor(e,t){if(super(),this.commandQueueOwnedIds=new WeakSet,this.dispatchNumberInEncoder=0,this.disposed=!1,this.downloadWaitMs=0,this.tensorDataPendingDisposal=[],this.stagingPendingDisposal=[],this.uniformPendingDisposal=[],this.uploadWaitMs=0,!pm())throw new Error("WebGPU is not supported on this device");this.pipelineCache={},this.device=e,this.queue=e.queue,this.currentCommandEncoder=null,this.currentComputePass=null,this.supportTimeQuery=e.features.has("timestamp-query-inside-passes"),this.adapterInfo=new Wg(t),this.thresholdToIncreaseWorkgroups=this.adapterInfo.intelGPUGeneration>=12?16:8,this.bufferManager=new Ug(this.device),this.textureManager=new Gg(this.device),this.tensorMap=new Lo(this,ur()),this.supportTimeQuery&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:2})),P().getBool("WEBGPU_USE_PROFILE_TOOL")&&(this.dummyCanvas=document.createElement("canvas"),this.dummyCanvas.width=1,this.dummyCanvas.height=1,this.dummyContext=this.dummyCanvas.getContext("webgpu"),this.dummyContext.configure({device:e,format:"bgra8unorm"}),document.body.appendChild(this.dummyCanvas))}floatPrecision(){return 32}defaultGpuBufferUsage(){return GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST}disposeData(e,t=!1){if(this.tensorDataPendingDisposal.indexOf(e)>=0)return!1;if(!this.tensorMap.has(e))return!0;let o=this.tensorMap.get(e);if(this.decRef(e),!t&&o.refCount>0)return!1;if(this.commandQueueOwnedIds.has(e))return this.tensorDataPendingDisposal.push(e),!1;let{complexTensorInfos:n}=this.tensorMap.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.releaseResource(e),this.tensorMap.delete(e),!0}memory(){return{numBytesInGPU:this.bufferManager.numBytesUsed,numBytesAllocatedInGPU:this.bufferManager.numBytesAllocated,unreliable:!1}}releaseResource(e){let t=this.tensorMap.get(e);if(!(!t||!t.resourceInfo)){if(t.external){t.resourceInfo=null;return}if("texture"in t.resourceInfo){let o=t.resourceInfo;o.texture instanceof GPUTexture&&this.textureManager.releaseTexture(o.texture,o.width,o.height,o.format,o.usage),o.texture=null}else{let o=t.resourceInfo;this.bufferManager.releaseBuffer(o.buffer,o.size,o.usage),o.buffer=null}t.resourceInfo=null}}refCount(e){return this.tensorMap.has(e)?this.tensorMap.get(e).refCount:0}incRef(e){let t=this.tensorMap.get(e);t.refCount++}decRef(e){if(this.tensorMap.has(e)){let t=this.tensorMap.get(e);t.refCount--}}write(e,t,o){if(o==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let n={id:this.nextDataId()};return this.tensorMap.set(n,{dtype:o,shape:t,values:e,refCount:1}),n}move(e,t,o,n,s){if(n==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.tensorMap.set(e,{dtype:n,shape:o,values:t,refCount:s})}submitQueue(){this.ensureComputePassEnded(),this.queue.submit([this.currentCommandEncoder.finish()]),this.currentCommandEncoder=null,this.dispatchNumberInEncoder=0,this.commandQueueOwnedIds=new WeakSet,this.tensorDataPendingDisposal.forEach(e=>{this.releaseResource(e),this.tensorMap.delete(e)}),this.uniformPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage)),this.stagingPendingDisposal.forEach(e=>this.bufferManager.releaseBuffer(e.buffer,e.size,e.usage,!1)),this.tensorDataPendingDisposal=[],this.uniformPendingDisposal=[],this.stagingPendingDisposal=[]}ensureCommandEncoderReady(){this.currentCommandEncoder||(this.currentCommandEncoder=this.device.createCommandEncoder())}ensureComputePassEnded(){this.currentComputePass&&(this.currentComputePass.end(),this.currentComputePass=null)}getComputePass(){return this.currentComputePass||(this.currentComputePass=this.currentCommandEncoder.beginComputePass()),this.currentComputePass}async getBufferData(e,t){let o=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,o,0,t),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=o.getMappedRange().slice(0);return o.unmap(),o!=null&&this.bufferManager.releaseBuffer(o,t,GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ),P().getBool("WEBGPU_USE_PROFILE_TOOL")&&(y.assert(this.dummyContext!==void 0,()=>"Fail to get context for profiling tool"),this.dummyContext.getCurrentTexture()),n}convertAndCacheOnCPU(e,t){let o=this.tensorMap.get(e);return this.releaseResource(e),o.values=t,o.values}readSync(e){let t=this.tensorMap.get(e),{values:o,complexTensorInfos:n}=t;if(o!=null||t.dtype==="string")return o;if(t.dtype==="complex64"){let h=this.readSync(n.real.dataId),g=this.readSync(n.imag.dataId),x=y.convertBackendValuesAndArrayBuffer(C.mergeRealAndImagArrays(h,g).buffer,"float32");return this.convertAndCacheOnCPU(e,x),x}let s=["opaque","premultiplied"],a=t.resourceInfo,i=a.size;y.assert(i%4===0,()=>"Because there is 4 bytes for one pixel, buffer size must be multiple of 4.");let p=i/4,u=new ArrayBuffer(i),c=256,l=256,m=s.map(h=>new OffscreenCanvas(c,l)),d=new OffscreenCanvas(c,l);this.ensureComputePassEnded(),m.map((h,g)=>{let x=h.getContext("webgpu");return x.configure({device:this.device,format:"bgra8unorm",usage:GPUTextureUsage.COPY_DST,alphaMode:s[g]}),x.getCurrentTexture()}).map((h,g)=>{let x=c*4,b=(R,D,F)=>{this.ensureCommandEncoderReady(),this.currentCommandEncoder.copyBufferToTexture({buffer:a.buffer,bytesPerRow:x,offset:F},{texture:h},{width:R,height:D}),this.submitQueue();let O=d.getContext("2d",{willReadFrequently:!0});O.clearRect(0,0,R,D),O.drawImage(m[g],0,0);let M=O.getImageData(0,0,R,D).data,L=s[g],B=new Uint8ClampedArray(u,F,R*D*4);for(let z=0;z0&&(b(S,k,_),_+=k*(c*4)),S=E%c,S>0&&b(S,1,_)});let f=y.convertBackendValuesAndArrayBuffer(u,t.dtype);return this.convertAndCacheOnCPU(e,f),f}async read(e){if(!this.tensorMap.has(e))throw new Error(`Tensor ${e} was not registered!`);let t=this.tensorMap.get(e),{values:o}=t;if(o!=null)return o;let n;if(t.dtype==="complex64"){let s=await Promise.all([this.read(t.complexTensorInfos.real.dataId),this.read(t.complexTensorInfos.imag.dataId)]),a=s[0],i=s[1];n=C.mergeRealAndImagArrays(a,i)}else{let s=t.resourceInfo,a=await this.getBufferData(s.buffer,s.size);n=y.convertBackendValuesAndArrayBuffer(a,t.dtype)}return this.convertAndCacheOnCPU(e,n),n}copyBuffer(e,t,o){let n=this.bufferManager.acquireBuffer(t,o);return this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(e,0,n,0,t),this.submitQueue(),n}createTensorFromGPUData(e,t,o){let n=e.buffer;if(o==="complex64")throw new Error("Cannot write to a complex64 dtype. ");let s={id:this.nextDataId()};this.tensorMap.set(s,{dtype:o,shape:t,values:null,refCount:1,external:e.zeroCopy});let a=this.tensorMap.get(s),i=Hg(a.dtype)*y.sizeFromShape(a.shape);if(e.buffer.sizey.decodeString(n));return me(e.shape,e.dtype,o)}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return me(e.shape,e.dtype,t)}async time(e){this.supportTimeQuery||console.warn("This device doesn't support timestamp-query-inside-passes extension. Start Chrome browser with flag --disable-dawn-features=disallow_unsafe_apis then try again. Otherwise, zero will be shown for the kernel time when profiling mode is enabled. Using performance.now is not workable for webgpu since it doesn't support synchronous data read from GPU.");let t=this.activeTimers,o=[],n=!1;this.programTimersStack==null?(this.programTimersStack=o,n=!0):this.activeTimers.push(o),this.activeTimers=o,e();let s=y.flatten(this.activeTimers.map(u=>u.query)).filter(u=>u!=null),a=y.flatten(this.activeTimers.map(u=>u.name)).filter(u=>u!=null);this.activeTimers=t,n&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},p=await Promise.all(s);return i.kernelMs=y.sum(p),i.getExtraProfileInfo=()=>p.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", "),this.uploadWaitMs=0,this.downloadWaitMs=0,i}makeTensorInfo(e,t,o){return t==="string"&&o!=null&&o.length>0&&y.isString(o[0])&&(o=o.map(s=>y.encodeString(s))),{dataId:this.write(o,e,t),shape:e,dtype:t}}tensorToBinding(e){if(!e)return null;let t=this.tensorMap.get(e.dataId);if("texture"in t.resourceInfo){let n=t.resourceInfo;return n.texture instanceof GPUExternalTexture?n.texture:n.texture.createView()}let o=t.resourceInfo;return{offset:0,size:o.size,buffer:o.buffer}}async getQueryTime(e){return this.supportTimeQuery?this.getTimeFromQuerySet(e):0}uploadToGPU(e){let t=this.tensorMap.get(e);if(t.resourceInfo)return;let o=Hg(t.dtype)*y.sizeFromShape(t.shape),n;if(t.values){if(n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage(),!0),n.mapState==="unmapped"){let s=this.bufferManager.acquireBuffer(o,GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,!0,!1),a=s.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(a).set(t.values):new Float32Array(a).set(t.values),s.unmap(),this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.copyBufferToBuffer(s,0,n,0,o),this.stagingPendingDisposal.push({size:o,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC,buffer:s})}else{let s=n.getMappedRange();t.dtype==="int32"||t.dtype==="bool"?new Int32Array(s).set(t.values):new Float32Array(s).set(t.values),n.unmap()}t.values=null}else n=this.bufferManager.acquireBuffer(o,this.defaultGpuBufferUsage());t.resourceInfo={size:o,usage:this.defaultGpuBufferUsage(),buffer:n}}makeUniforms(e){let t=0,o=0,n=[],s=1;e.forEach(u=>{u.data.length===0&&(u.data=[1]);let c;switch(u.data.length){case 1:c=4;break;case 2:c=8;break;case 3:c=16;break;case 4:c=16;break;case 5:c=16;break;case 6:c=16;break;default:y.assert(!1,()=>`Unsupported ${u.data.length}D shape`)}(o===5||o===6)&&(c=16),c>s&&(s=c),t=Math.ceil(t/c)*c,o=u.data.length,n.push(t),t+=u.data.length*4}),t=Math.ceil(t/s)*s;let a=new ArrayBuffer(t);e.forEach((u,c)=>{let l=n[c];u.type==="int32"?new Int32Array(a,l,u.data.length).set(u.data):u.type==="uint32"?new Uint32Array(a,l,u.data.length).set(u.data):new Float32Array(a,l,u.data.length).set(u.data)});let i=this.bufferManager.acquireBuffer(t,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.queue.writeBuffer(i,0,a,0,t);let p={size:t,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM,buffer:i};return this.uniformPendingDisposal.push(p),{offset:0,size:t,buffer:i}}runWebGPUProgram(e,t,o,n,s){if(s||(s=this.makeTensorInfo(e.outputShape,o)),y.sizeFromShape(s.shape)===0)return this.tensorMap.get(s.dataId).values=y.getTypedArrayFromDType(s.dtype,0),s;this.uploadToGPU(s.dataId),e.dispatch=gse(this.device,e);let a=[],i=[];if(!e.isFromPixels){a.push({type:"float32",data:[NaN]},{type:"float32",data:[1/0]}),i=t.concat(s).map(g=>g.shape);let h="int32";if(i.map(g=>{a.push({type:h,data:g});let x=y.computeStrides(g);a.push({type:h,data:x})}),e.size){let g=y.sizeFromShape(e.outputShape);a.push({type:h,data:[e.outputComponent?g/e.outputComponent:g]})}}let p=t.map((h,g)=>{if(h.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");return this.uploadToGPU(h.dataId),{dtype:this.tensorMap.get(h.dataId).dtype,shape:h.shape,name:e.variableNames[g]}}),u=yB(e,i,p,s),c;u in this.pipelineCache?c=this.pipelineCache[u]:(c=xB(this.device,e,p,s,u),this.pipelineCache[u]=c),n&&(a=[...a,...n]);let l=[this.tensorToBinding(s),...t.map(h=>this.tensorToBinding(h)),this.makeUniforms(a)],m=this.device.createBindGroup({layout:c.getBindGroupLayout(0),entries:l.map((h,g)=>({binding:g,resource:h}))});this.ensureCommandEncoderReady();let d=this.getComputePass(),f=this.activeTimers!=null;return f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,0),d.setPipeline(c),d.setBindGroup(0,m),d.dispatchWorkgroups(e.dispatch[0],e.dispatch[1],e.dispatch[2]),f&&this.supportTimeQuery&&d.writeTimestamp(this.querySet,1),this.dispatchNumberInEncoder++,t.forEach(h=>{this.commandQueueOwnedIds.add(h.dataId)}),this.commandQueueOwnedIds.add(s.dataId),P().get("WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE")<=this.dispatchNumberInEncoder&&this.submitQueue(),f&&this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(this.querySet)}),s}async getTimeFromQuerySet(e){let t=this.bufferManager.acquireBuffer(16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),o=this.bufferManager.acquireBuffer(16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);this.ensureCommandEncoderReady(),this.ensureComputePassEnded(),this.currentCommandEncoder.resolveQuerySet(e,0,2,t,0),this.currentCommandEncoder.copyBufferToBuffer(t,0,o,0,16),this.submitQueue(),await o.mapAsync(GPUMapMode.READ);let n=new BigUint64Array(o.getMappedRange()),s=Number(n[1]-n[0]);return o.unmap(),this.bufferManager.releaseBuffer(o,16,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),this.bufferManager.releaseBuffer(t,16,GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE),s/1e6}shouldExecuteOnCPU(e,t=hse){return P().getBool("WEBGPU_CPU_FORWARD")&&e.every(o=>this.tensorMap.get(o.dataId).resourceInfo==null&&y.sizeFromShape(o.shape){let r={powerPreference:P().get("WEBGPU_USE_LOW_POWER_GPU")?"low-power":"high-performance"},e=await navigator.gpu.requestAdapter(r),t={};e.features.has("timestamp-query-inside-passes")&&(t.requiredFeatures=["timestamp-query-inside-passes"]);let o=e.limits;t.requiredLimits={maxComputeWorkgroupStorageSize:o.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:o.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:o.maxStorageBufferBindingSize,maxBufferSize:o.maxBufferSize,maxComputeWorkgroupSizeX:o.maxComputeWorkgroupSizeX,maxComputeInvocationsPerWorkgroup:o.maxComputeInvocationsPerWorkgroup};let n=await e.requestDevice(t),s=await e.requestAdapterInfo();return new Cu(n,s)},3);var fe;(function(r){r[r.ADD=0]="ADD",r[r.ATAN2=1]="ATAN2",r[r.COMPLEX_MULTIPLY_IMAG=2]="COMPLEX_MULTIPLY_IMAG",r[r.COMPLEX_MULTIPLY_REAL=3]="COMPLEX_MULTIPLY_REAL",r[r.DIV=4]="DIV",r[r.ELU_DER=5]="ELU_DER",r[r.EQUAL=6]="EQUAL",r[r.GREATER=7]="GREATER",r[r.GREATER_EQUAL=8]="GREATER_EQUAL",r[r.INT_DIV=9]="INT_DIV",r[r.LESS=10]="LESS",r[r.LESS_EQUAL=11]="LESS_EQUAL",r[r.LOGICAL_AND=12]="LOGICAL_AND",r[r.LOGICAL_OR=13]="LOGICAL_OR",r[r.MAX=14]="MAX",r[r.MIN=15]="MIN",r[r.MOD=16]="MOD",r[r.MUL=17]="MUL",r[r.NOT_EQUAL=18]="NOT_EQUAL",r[r.POW=19]="POW",r[r.PRELU=20]="PRELU",r[r.SQUARED_DIFFERENCE=21]="SQUARED_DIFFERENCE",r[r.SUB=22]="SUB"})(fe||(fe={}));var xse=` + resultTemp = select(resultTemp, valueForNaN, isNaN | isnan(a) | isnan(b));`,yse=` resultTemp = select( resultTemp, vec4(valueForNaN), vec4(isNaN) | isnanVec4(a) | isnanVec4(b)); - `,pte="return a + b;",cte="return areal * breal - aimag * bimag;",lte="return areal * bimag + aimag * breal;",mte="return a / b;",dte="return f32(a == b);",fte="return vec4(a == b);",hte="return f32(a > b);",gte="return vec4(a > b);",xte="return f32(a >= b);",yte="return vec4(a >= b);",bte=` + `,bse="return a + b;",Cse="var resultTemp = atan2(a, b);",wse="return areal * breal - aimag * bimag;",Sse="return areal * bimag + aimag * breal;",Ise="return a / b;",vse="return select(a * (b + 1.0), a, b >= 0.);",kse="return select(a * (b + vec4(1.0)), a, b >= vec4(0.));",Nse="return f32(a == b);",Tse="return vec4(a == b);",_se="return f32(a > b);",$se="return vec4(a > b);",Ese="return f32(a >= b);",Rse="return vec4(a >= b);",Dse=` let s = sign(a) * sign(b); let ia = i32(round(a)); let ib = i32(round(b)); return f32(idiv(ia, ib, s)); -`,Cte=` +`,Ase=` let ia = vec4(round(a)); let ib = vec4(round(b)); let cond = ib != vec4(0); @@ -5187,25 +5252,16 @@ return a / b;`,M7=` resultTemp[3] = idiv(ia[3], ib[3], s[3]); } return vec4(resultTemp); -`,Ste="return f32(a < b);",wte="return vec4(a < b);",Ite="return f32(a <= b);",vte="return vec4(a <= b);",kte="return f32(a >= 1.0 && b >= 1.0);",Nte=`return (vec4(a >= vec4(1.0)) * - vec4(b >= vec4(1.0)));`,Tte="return f32(a >= 1.0 || b >= 1.0);",_te=`return min(vec4(a >= vec4(1.0)) + - vec4(b >= vec4(1.0)), vec4(1.0));`,$te=` - ${V3} - if (b == 0.) { - return uniforms.NAN; - } +`,Fse="return f32(a < b);",Pse="return vec4(a < b);",Ose="return f32(a <= b);",Mse="return vec4(a <= b);",Lse="return f32(a >= 1.0 && b >= 1.0);",Bse=`return (vec4(a >= vec4(1.0)) * + vec4(b >= vec4(1.0)));`,zse="return f32(a >= 1.0 || b >= 1.0);",Vse=`return min(vec4(a >= vec4(1.0)) + + vec4(b >= vec4(1.0)), vec4(1.0));`,Wse="var resultTemp = max(a, b);",Use="var resultTemp = min(a, b);",Gse=` + let isNaN = b == 0.; var resultTemp = a % b; - if ((a < 0. && b < 0.) || (a >= 0. && b > 0.)) { - return resultTemp; - } else { - return (resultTemp + b) % b; - } -`,Ete=` + resultTemp = select((resultTemp + b) % b, resultTemp, + (a < 0. && b < 0.) || (a >= 0. && b > 0.)); +`,Hse=` let isNaN = !vec4(b); - let valueForNaN = uniforms.NAN; var resultTemp = vec4(a % b); - ${$g} - if (!((a[0] < 0. && b[0] < 0.) || (a[0] >= 0. && b[0] > 0.))) { resultTemp[0] = (resultTemp[0] + b[0]) % b[0]; } @@ -5218,31 +5274,20 @@ return a / b;`,M7=` if (!((a[3] < 0. && b[3] < 0.) || (a[3] >= 0. && b[3] > 0.))) { resultTemp[3] = (resultTemp[3] + b[3]) % b[3]; } - - return resultTemp; -`,Ate="return a * b;",Rte=` - if (isnan(a) || isnan(b)) { - return 1.0; - } - return f32(a != b); -`,Dte=` +`,Kse="return a * b;",qse=` + var resultTemp = f32(a != b); + let valueForNaN = 1.0; +`,jse=` var resultTemp = vec4(a != b); let valueForNaN = 1.0; - ${$g} - - return resultTemp; -`,Fte=` - if(a < 0.0 && floor(b) < b) { - return uniforms.NAN; - } +`,Xse=` + let isNaN = a < 0.0 && floor(b) < b; if (b == 0.0) { return 1.0; } - if (round(abs(b) % 2.0) != 1.0) { - return pow(abs(a), b); - } - return sign(a) * pow(abs(a), b); -`,Ote=` + var resultTemp = select(sign(a) * pow(abs(a), b), pow(abs(a), b), + round(abs(b) % 2.0) != 1.0); +`,Yse=` let isModRound1Bool = vec4(round(abs(b) % vec4(2.0))) == vec4(1); let isModRound1 = vec4(isModRound1Bool); let multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); @@ -5263,40 +5308,38 @@ return a / b;`,M7=` resultTemp.a = 1.0; } let isNaN = (a < vec4(0.0)) & (floor(b) < b); - let valueForNaN = uniforms.NAN; - ${$g} - return resultTemp; -`,Pte="if (a < 0.0) { return b * a; } return a;",Mte=` +`,Qse="if (a < 0.0) { return b * a; } return a;",Zse=` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); -`,Lte="return (a - b) * (a - b);",Bte="return a - b;";function gI(r,e,t="uniforms.NAN"){let o=e?$g:V3;return e?` - let valueForNaN = ${t}; - var resultTemp = vec4(${r}(a, b)); - `+o+` - return resultTemp; - `:o+` - return ${r}(a, b); - `}function kc(r,e){switch(r){case ge.ADD:return pte;case ge.ATAN2:return gI("atan2",e);case ge.COMPLEX_MULTIPLY_IMAG:return lte;case ge.COMPLEX_MULTIPLY_REAL:return cte;case ge.DIV:return mte;case ge.EQUAL:return e?fte:dte;case ge.GREATER:return e?gte:hte;case ge.GREATER_EQUAL:return e?yte:xte;case ge.INT_DIV:return e?Cte:bte;case ge.LESS:return e?wte:Ste;case ge.LESS_EQUAL:return e?vte:Ite;case ge.LOGICAL_AND:return e?Nte:kte;case ge.LOGICAL_OR:return e?_te:Tte;case ge.MAX:return gI("max",e);case ge.MIN:return gI("min",e);case ge.MOD:return e?Ete:$te;case ge.MUL:return Ate;case ge.NOT_EQUAL:return e?Dte:Rte;case ge.POW:return e?Ote:Fte;case ge.PRELU:return e?Mte:Pte;case ge.SQUARED_DIFFERENCE:return Lte;case ge.SUB:return Bte;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var X;(function(r){r[r.ABS=0]="ABS",r[r.ACOS=1]="ACOS",r[r.ACOSH=2]="ACOSH",r[r.ASIN=3]="ASIN",r[r.ASINH=4]="ASINH",r[r.ATAN=5]="ATAN",r[r.ATANH=6]="ATANH",r[r.CEIL=7]="CEIL",r[r.COS=8]="COS",r[r.COSH=9]="COSH",r[r.ELU=10]="ELU",r[r.ERF=11]="ERF",r[r.EXP=12]="EXP",r[r.EXPM1=13]="EXPM1",r[r.FLOOR=14]="FLOOR",r[r.IS_FINITE=15]="IS_FINITE",r[r.IS_INF=16]="IS_INF",r[r.IS_NAN=17]="IS_NAN",r[r.LINEAR=18]="LINEAR",r[r.LOG=19]="LOG",r[r.LOG1P=20]="LOG1P",r[r.LOGICAL_NOT=21]="LOGICAL_NOT",r[r.NEG=22]="NEG",r[r.RELU=23]="RELU",r[r.RELU6=24]="RELU6",r[r.LEAKYRELU=25]="LEAKYRELU",r[r.RECIPROCAL=26]="RECIPROCAL",r[r.ROUND=27]="ROUND",r[r.RSQRT=28]="RSQRT",r[r.SELU=29]="SELU",r[r.SIGMOID=30]="SIGMOID",r[r.SIGN=31]="SIGN",r[r.SIN=32]="SIN",r[r.SINH=33]="SINH",r[r.SOFTPLUS=34]="SOFTPLUS",r[r.SQRT=35]="SQRT",r[r.SQUARE=36]="SQUARE",r[r.STEP=37]="STEP",r[r.TAN=38]="TAN",r[r.TANH=39]="TANH",r[r.TO_INT=40]="TO_INT"})(X||(X={}));var Vte="return abs(a);",zte=` +`,Jse="return (a - b) * (a - b);",eae="return a - b;";function Kc(r,e){do{let t;switch(r){case fe.ATAN2:t=Cse;break;case fe.MAX:t=Wse;break;case fe.MIN:t=Use;break;case fe.MOD:t=e?Hse:Gse;break;case fe.NOT_EQUAL:t=e?jse:qse;break;case fe.POW:t=e?Yse:Xse;break;default:continue}return` + let isNaN = false; + let valueForNaN = uniforms.NAN; + { + ${t} + ${e?yse:xse} + return resultTemp; + } + `}while(!1);switch(r){case fe.ADD:return bse;case fe.COMPLEX_MULTIPLY_IMAG:return Sse;case fe.COMPLEX_MULTIPLY_REAL:return wse;case fe.DIV:return Ise;case fe.ELU_DER:return e?kse:vse;case fe.EQUAL:return e?Tse:Nse;case fe.GREATER:return e?$se:_se;case fe.GREATER_EQUAL:return e?Rse:Ese;case fe.INT_DIV:return e?Ase:Dse;case fe.LESS:return e?Pse:Fse;case fe.LESS_EQUAL:return e?Mse:Ose;case fe.LOGICAL_AND:return e?Bse:Lse;case fe.LOGICAL_OR:return e?Vse:zse;case fe.MUL:return Kse;case fe.PRELU:return e?Zse:Qse;case fe.SQUARED_DIFFERENCE:return Jse;case fe.SUB:return eae;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var Q;(function(r){r[r.ABS=0]="ABS",r[r.ACOS=1]="ACOS",r[r.ACOSH=2]="ACOSH",r[r.ASIN=3]="ASIN",r[r.ASINH=4]="ASINH",r[r.ATAN=5]="ATAN",r[r.ATANH=6]="ATANH",r[r.CEIL=7]="CEIL",r[r.COS=8]="COS",r[r.COSH=9]="COSH",r[r.ELU=10]="ELU",r[r.ERF=11]="ERF",r[r.EXP=12]="EXP",r[r.EXPM1=13]="EXPM1",r[r.FLOOR=14]="FLOOR",r[r.IS_FINITE=15]="IS_FINITE",r[r.IS_INF=16]="IS_INF",r[r.IS_NAN=17]="IS_NAN",r[r.LINEAR=18]="LINEAR",r[r.LOG=19]="LOG",r[r.LOG1P=20]="LOG1P",r[r.LOGICAL_NOT=21]="LOGICAL_NOT",r[r.NEG=22]="NEG",r[r.RELU=23]="RELU",r[r.RELU6=24]="RELU6",r[r.LEAKYRELU=25]="LEAKYRELU",r[r.RECIPROCAL=26]="RECIPROCAL",r[r.ROUND=27]="ROUND",r[r.RSQRT=28]="RSQRT",r[r.SELU=29]="SELU",r[r.SIGMOID=30]="SIGMOID",r[r.SIGN=31]="SIGN",r[r.SIN=32]="SIN",r[r.SINH=33]="SINH",r[r.SOFTPLUS=34]="SOFTPLUS",r[r.SQRT=35]="SQRT",r[r.SQUARE=36]="SQUARE",r[r.STEP=37]="STEP",r[r.TAN=38]="TAN",r[r.TANH=39]="TANH",r[r.TO_INT=40]="TO_INT"})(Q||(Q={}));var tae="return abs(a);",rae=` if (abs(a) > 1.) { return uniforms.NAN; } return acos(a); -`,Wte=` +`,oae=` if (a < 1.) { return uniforms.NAN; } return acosh(a); -`,Ute=` +`,nae=` if (abs(a) > 1.) { return uniforms.NAN; } return asin(a); -`,Gte="return asinh(a);",Hte=` +`,sae="return asinh(a);",aae=` if (isnan(a)) { return uniforms.NAN; } return atan(a); -`,Kte=` +`,iae=` if (abs(a) > 1.) { return uniforms.NAN; } @@ -5307,10 +5350,10 @@ return a / b;`,M7=` return -uniforms.INFINITY; } return atanh(a); -`,qte="return ceil(a);",jte="return cos(a);",Xte=` +`,uae="return ceil(a);",pae="return cos(a);",cae=` let e2x = exp(-a); return (e2x + 1.0 / e2x) / 2.0; -`,Yte="return exp(a) - 1.0;",Qte="if (a >= 0.0) { return a; } return (exp(a) - 1.0);",Zte=` +`,lae="return exp(a) - 1.0;",mae="if (a >= 0.0) { return a; } return (exp(a) - 1.0);",dae=` var resFloat = exp(a) - vec4(1.0); if (a.r >= 0.0) { resFloat.r = a.r; @@ -5325,40 +5368,40 @@ return a / b;`,M7=` resFloat.a = a.a; } return resFloat; -`,Jte=` +`,fae=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. - let p = ${S.ERF_P}; - let a1 = ${S.ERF_A1}; - let a2 = ${S.ERF_A2}; - let a3 = ${S.ERF_A3}; - let a4 = ${S.ERF_A4}; - let a5 = ${S.ERF_A5}; + let p = ${C.ERF_P}; + let a1 = ${C.ERF_A1}; + let a2 = ${C.ERF_A2}; + let a3 = ${C.ERF_A3}; + let a4 = ${C.ERF_A4}; + let a5 = ${C.ERF_A5}; let sign = sign(a); let absA = abs(a); let t = 1.0 / (1.0 + p * absA); return sign * (1.0 - (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * exp(-absA * absA)); -`,ere="return exp(a);",tre="return floor(a);",rre="return f32(!isnan(a) && !isinf(a));",ore="return f32(isinf(a));",nre="return f32(isnan(a));",sre="return a;",are=`if (a < 0.0) { return uniforms.NAN; } - return log(a);`,ire=` +`,hae="return exp(a);",gae="return floor(a);",xae="return f32(!isnan(a) && !isinf(a));",yae="return f32(isinf(a));",bae="return f32(isnan(a));",Cae="return a;",wae=`if (a < 0.0) { return uniforms.NAN; } + return log(a);`,Sae=` if (isnan(a)) { return a; } return log(1.0 + a); -`,ure="return f32(!(a >= 1.0));",pre="return -a;",cre="if (a < 0.0) { return uniforms.alpha * a; } return a;",lre=` +`,Iae="return f32(!(a >= 1.0));",vae="return -a;",kae="if (a < 0.0) { return uniforms.alpha * a; } return a;",Nae=` let aLessThanZero = vec4(a < vec4(0.0)); return (aLessThanZero * (uniforms.alpha * a)) + ((vec4(1.0) - aLessThanZero) * a); -`,mre="return 1.0 / a;",dre="return select(a, 0.0, a < 0.0);",fre="return clamp(a, 0.0, 6.0);",hre="return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));",gre=` +`,Tae="return 1.0 / a;",_ae="return select(a, 0.0, a < 0.0);",$ae="return clamp(a, 0.0, 6.0);",Eae="return clamp(a, vec4(0.0, 0.0, 0.0, 0.0), vec4(6.0, 6.0, 6.0, 6.0));",Rae=` return select(a, vec4(0.0), a < vec4(0.0)); -`,xre="return round(a);",yre="return inverseSqrt(a);",bre=` +`,Dae="return round(a);",Aae="return inverseSqrt(a);",Fae=` if (a >= 0.0) { - return ${S.SELU_SCALE} * a; + return ${C.SELU_SCALE} * a; } else { - return ${S.SELU_SCALEALPHA} * (exp(a) - 1.0); + return ${C.SELU_SCALEALPHA} * (exp(a) - 1.0); } -`,Cre="return 1.0 / (1.0 + exp(-1.0 * a));",Sre="return sign(a);",wre="return sin(a);",Ire=` +`,Pae="return 1.0 / (1.0 + exp(-1.0 * a));",Oae="return sign(a);",Mae="return sin(a);",Lae=` let e2x = exp(a); return (e2x - 1.0 / e2x) / 2.0; -`,vre=` +`,Bae=` let epsilon = 1.1920928955078125e-7; let threshold = log(epsilon) + 2.0; @@ -5373,31 +5416,31 @@ return a / b;`,M7=` } else { return log(exp_a + 1.0); } -`,kre="return sqrt(a);",Nre="return a * a;",Tre=` +`,zae="return sqrt(a);",Vae="return a * a;",Wae=` if (isnan(a)) { return a; } return select(uniforms.stepAlpha, 1.0, a > 0.0); -`,_re="return tan(a);",$re=` +`,Uae="return tan(a);",Gae=` let e2x = exp(-2.0 * abs(a)); return sign(a) * (1.0 - e2x) / (1.0 + e2x); -`,Ere="return f32(i32((a)));";function ja(r,e){switch(r){case X.ABS:return Vte;case X.ACOS:return zte;case X.ACOSH:return Wte;case X.ASIN:return Ute;case X.ASINH:return Gte;case X.ATAN:return Hte;case X.ATANH:return Kte;case X.COS:return jte;case X.COSH:return Xte;case X.CEIL:return qte;case X.ELU:return e?Zte:Qte;case X.ERF:return Jte;case X.EXP:return ere;case X.EXPM1:return Yte;case X.FLOOR:return tre;case X.IS_FINITE:return rre;case X.IS_INF:return ore;case X.IS_NAN:return nre;case X.LINEAR:return sre;case X.LOG:return are;case X.LOG1P:return ire;case X.LOGICAL_NOT:return ure;case X.NEG:return pre;case X.LEAKYRELU:return e?lre:cre;case X.RECIPROCAL:return mre;case X.RELU:return e?gre:dre;case X.RELU6:return e?hre:fre;case X.ROUND:return xre;case X.RSQRT:return yre;case X.SELU:return bre;case X.SIGMOID:return Cre;case X.SIGN:return Sre;case X.SIN:return wre;case X.SINH:return Ire;case X.SOFTPLUS:return vre;case X.SQRT:return kre;case X.SQUARE:return Nre;case X.STEP:return Tre;case X.TAN:return _re;case X.TANH:return $re;case X.TO_INT:return Ere;default:throw new Error(`BinaryType ${r} is not implemented!`)}}var kt=r=>{switch(r){case 1:return"f32";case 2:return"vec2";case 3:return"vec3";case 4:return"vec4";default:throw new Error(`${r}-component is not supported.`)}};function pr(r,e=!1,t=!1,o=3){if(r===null)return"";let n="";if(r==="linear")n=ja(X.LINEAR);else if(r==="relu")n=ja(X.RELU,t);else if(r==="elu")n=ja(X.ELU,t);else if(r==="relu6")n=ja(X.RELU6,t);else if(r==="prelu")n=kc(ge.PRELU,t);else if(r==="sigmoid")n=ja(X.SIGMOID,t);else if(r==="leakyrelu")n=ja(X.LEAKYRELU,t);else throw new Error(`Activation ${r} has not been implemented for the WebGPU backend.`);let a=kt(t?4:1),i="";return e?i=` +`,Hae="return f32(i32((a)));";function yi(r,e){switch(r){case Q.ABS:return tae;case Q.ACOS:return rae;case Q.ACOSH:return oae;case Q.ASIN:return nae;case Q.ASINH:return sae;case Q.ATAN:return aae;case Q.ATANH:return iae;case Q.COS:return pae;case Q.COSH:return cae;case Q.CEIL:return uae;case Q.ELU:return e?dae:mae;case Q.ERF:return fae;case Q.EXP:return hae;case Q.EXPM1:return lae;case Q.FLOOR:return gae;case Q.IS_FINITE:return xae;case Q.IS_INF:return yae;case Q.IS_NAN:return bae;case Q.LINEAR:return Cae;case Q.LOG:return wae;case Q.LOG1P:return Sae;case Q.LOGICAL_NOT:return Iae;case Q.NEG:return vae;case Q.LEAKYRELU:return e?Nae:kae;case Q.RECIPROCAL:return Tae;case Q.RELU:return e?Rae:_ae;case Q.RELU6:return e?Eae:$ae;case Q.ROUND:return Dae;case Q.RSQRT:return Aae;case Q.SELU:return Fae;case Q.SIGMOID:return Pae;case Q.SIGN:return Oae;case Q.SIN:return Mae;case Q.SINH:return Lae;case Q.SOFTPLUS:return Bae;case Q.SQRT:return zae;case Q.SQUARE:return Vae;case Q.STEP:return Wae;case Q.TAN:return Uae;case Q.TANH:return Gae;case Q.TO_INT:return Hae;default:throw new Error(`BinaryType ${r} is not implemented!`)}}function dr(r,e=!1,t=!1,o=3){if(r===null)return"";let n="";if(r==="linear")n=yi(Q.LINEAR);else if(r==="relu")n=yi(Q.RELU,t);else if(r==="elu")n=yi(Q.ELU,t);else if(r==="relu6")n=yi(Q.RELU6,t);else if(r==="prelu")n=Kc(fe.PRELU,t);else if(r==="sigmoid")n=yi(Q.SIGMOID,t);else if(r==="leakyrelu")n=yi(Q.LEAKYRELU,t);else throw new Error(`Activation ${r} has not been implemented for the WebGPU backend.`);let a=Ae(t?4:1),i="";return e?i=` fn activation(a : ${a}, coords : vec${o}) -> ${a} { let b = getPreluActivationWeightsByOutputCoords(coords); ${n} }`:i=` fn activation(a : ${a}, coords : vec${o}) -> ${a} { ${n} - }`,i}function Gr(r,e){return` + }`,i}function jr(r,e){return` ${r?"value = value + getBiasByOutputCoords(coords);":""} ${e?"value = activation(value, coords);":""} - `}function xI(r,e,t=!1,o=!1,n=!1,s=1){y.assert(r&&s===1||!r,()=>`transposeA ${r} is not compatible with component size ${s}`);let a=` + `}function Pv(r,e,t=!1,o=!1,n=!1,s=1){y.assert(r&&s===1||!r,()=>`transposeA ${r} is not compatible with component size ${s}`);let a=` ${r?"value = getA(batch, col, row);":"value = getA(batch, row, col);"} `,i=e?"value = getB(batch, col, row);":"value = getB(batch, row, col);";return` - fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${kt(s)} { - var value = ${kt(s)}(0.0); + fn mm_readA(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} { + var value = ${Ae(s)}(0.0); let col = colIn * ${s}; ${t&&n?a:` ${r?"if(row < uniforms.dimAOuter && col < uniforms.dimInner)":"if(row < uniforms.aShape[1] && col < uniforms.aShape[2])"} @@ -5408,25 +5451,25 @@ return a / b;`,M7=` return value; } - fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${kt(s)} { + fn mm_readB(batch: i32, row: i32, colIn: i32) -> ${Ae(s)} { let col = colIn * ${s}; - var value = ${kt(s)}(0.0); + var value = ${Ae(s)}(0.0); ${i} return value; } - `}function Wl(r,e,t,o,n=!1,s=!1,a=!1,i=1){return` - ${xI(t,o,n,s,a,i)} - fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${kt(i)}) { + `}function lm(r,e,t,o,n=!1,s=!1,a=!1,i=1){return` + ${Pv(t,o,n,s,a,i)} + fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Ae(i)}) { let col = colIn * ${i}; ${n&&s?"":"if (row < uniforms.dimAOuter && col < uniforms.dimBOuter)"} { var value = valueIn; let coords = vec3(batch, row, col); - ${Gr(r,e)} + ${jr(r,e)} setOutputAtCoords(coords[0], coords[1], coords[2], value); } } - `}var Are=(r,e)=>r?` + `}var Kae=(r,e)=>r?` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart / ${e} + inputCol); @@ -5434,58 +5477,58 @@ return a / b;`,M7=` mm_Asub[inputRow][inputCol] = mm_readA(batchA, globalRow + innerRow, kStart / ${e} + inputCol); - `,Rre=(r,e,t)=>r?` + `,qae=(r,e,t)=>r?` let ACached0 = mm_Asub[k * ${e}][localRow]; let ACached1 = mm_Asub[k * ${e} + 1][localRow]; let ACached2 = mm_Asub[k * ${e} + 2][localRow]; ${e===3?"":`let ACached3 = mm_Asub[k * ${e} + 3][localRow];`} for (var i = 0; i < ${t}; i++) { - acc[i] = BCached0 * ACached0[i] + acc[i]; - acc[i] = BCached1 * ACached1[i] + acc[i]; - acc[i] = BCached2 * ACached2[i] + acc[i]; - ${e===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"} + acc[i] = fma(BCached0, vec4(ACached0[i]), acc[i]); + acc[i] = fma(BCached1, vec4(ACached1[i]), acc[i]); + acc[i] = fma(BCached2, vec4(ACached2[i]), acc[i]); + ${e===3?"":"acc[i] = fma(BCached3, vec4(ACached3[i]), acc[i]);"} }`:` for (var i = 0; i < ${t}; i++) { let ACached = mm_Asub[tileRow + i][k]; - acc[i] = BCached0 * ACached.x + acc[i]; - acc[i] = BCached1 * ACached.y + acc[i]; - acc[i] = BCached2 * ACached.z + acc[i]; - ${e===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"} - }`;function qu(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=e[1]*r[1],u=e[0]*r[0],c=t?p:o,l=t?o:p,m=c/e[0],d=o/e[1],f=r[1];return y.assert((t&&m===4&&r[1]===4||!t&&(m===3||m===4))&&c%e[0]===0&&o%e[1]===0&&r[0]===4,()=>`If transposeA ${t} is true, innerElementSize ${m} and workPerThread[1] ${r[1]} must be 4. - Otherwise, innerElementSize ${m} must be 3 or 4. - tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`),` - var mm_Asub : array, ${c/m}>, ${l}>; - var mm_Bsub : array, ${u/r[0]}>, ${o}>; + acc[i] = fma(BCached0, vec4(ACached.x), acc[i]); + acc[i] = fma(BCached1, vec4(ACached.y), acc[i]); + acc[i] = fma(BCached2, vec4(ACached.z), acc[i]); + ${e===3?"":"acc[i] = fma(BCached3, vec4(ACached.w), acc[i]);"} + }`;function Tp(r,e,t=!1,o=32,n=!1,s=32,a=!1){let i=e[1]*r[1],p=e[0]*r[0],u=t?i:o,c=t?o:i,l=u/e[0],m=o/e[1],d=r[1];return y.assert((t&&l===4&&r[1]===4||!t&&(l===3||l===4))&&u%e[0]===0&&o%e[1]===0&&r[0]===4,()=>`If transposeA ${t} is true, innerElementSize ${l} and workPerThread[1] ${r[1]} must be 4. + Otherwise, innerElementSize ${l} must be 3 or 4. + tileAWidth ${u} must be divisible by workgroupSize[0]${e[0]}. tileInner ${o} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${r[0]} must be 4.`),` + var mm_Asub : array, ${u/l}>, ${c}>; + var mm_Bsub : array, ${p/r[0]}>, ${o}>; - ${Q()} { + ${K()} { let localRow = i32(localId.y); - let tileRow = ${a?"0":`localRow * ${f}`}; + let tileRow = localRow * ${d}; let tileCol = i32(localId.x); - let globalRow = ${a?"0":`i32(globalId.y) * ${f}`}; + let globalRow = i32(globalId.y) * ${d}; let globalCol = i32(globalId.x); let batch = ${n?"0":"i32(globalId.z)"}; - let batchA = ${n||!i?"batch":"batch % uniforms.aShape[0]"}; - let batchB = ${n||!i?"batch":"batch % uniforms.bShape[0]"}; - let globalRowStart = i32(workgroupId.y) * ${p}; + let batchA = ${n||!a?"batch":"batch % uniforms.aShape[0]"}; + let batchB = ${n||!a?"batch":"batch % uniforms.bShape[0]"}; + let globalRowStart = i32(workgroupId.y) * ${i}; let numTiles = ${n?`${Math.ceil(s/o)}`:`(uniforms.dimInner - 1) / ${o} + 1`}; var kStart = ${n?`i32(globalId.z) * ${s}`:"0"}; - var acc: array, ${f}>; + var acc: array, ${d}>; // Loop over shared dimension. - let tileRowB = localRow * ${d}; + let tileRowB = localRow * ${m}; for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${d}; innerRow++) { let inputRow = tileRow + innerRow; let inputCol = tileCol; - ${Are(t,m)} + ${Kae(t,l)} } // Load one tile of B into local memory. - for (var innerRow = 0; innerRow < ${d}; innerRow++) { + for (var innerRow = 0; innerRow < ${m}; innerRow++) { let inputRow = tileRowB + innerRow; let inputCol = tileCol; mm_Bsub[inputRow][inputCol] = mm_readB(batchB, kStart + inputRow, globalCol); @@ -5494,22 +5537,22 @@ return a / b;`,M7=` workgroupBarrier(); // Compute acc values for a single thread. - for (var k = 0; k < ${o/m}; k++) { - let BCached0 = mm_Bsub[k * ${m}][tileCol]; - let BCached1 = mm_Bsub[k * ${m} + 1][tileCol]; - let BCached2 = mm_Bsub[k * ${m} + 2][tileCol]; - ${m===3?"":`let BCached3 = mm_Bsub[k * ${m} + 3][tileCol];`} + for (var k = 0; k < ${o/l}; k++) { + let BCached0 = mm_Bsub[k * ${l}][tileCol]; + let BCached1 = mm_Bsub[k * ${l} + 1][tileCol]; + let BCached2 = mm_Bsub[k * ${l} + 2][tileCol]; + ${l===3?"":`let BCached3 = mm_Bsub[k * ${l} + 3][tileCol];`} - ${Rre(t,m,f)} + ${qae(t,l,d)} } workgroupBarrier(); } - for (var innerRow = 0; innerRow < ${f}; innerRow++) { + for (var innerRow = 0; innerRow < ${d}; innerRow++) { mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]); } - }`}var z3=r=>r?` + }`}var CB=r=>r?` mm_Asub[inputRow][inputCol] = mm_readA(batchA, kStart + inputRow, globalRowStart + inputCol); @@ -5517,7 +5560,7 @@ return a / b;`,M7=` mm_Asub[inputRow][inputCol] = mm_readA(batchA, globalRowStart + inputRow, kStart + inputCol); - `,Dre=r=>r?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];";function ju(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=r[1]*e[1],u=r[0]*e[0],c=t?p:o,l=t?o:p;y.assert(l%e[1]===0&&c%e[0]===0&&o%e[1]===0,()=>`tileAHight ${l} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}, tileInner ${o} must be divisible by workgroupSize[1]${e[1]}`);let m=l/e[1],d=c/e[0],f=o/e[1],h=r[1],g=r[0],x=a?` + `,jae=r=>r?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];";function _p(r,e,t=!1,o=32,n=!1,s=32,a=!1,i=!1){let p=r[1]*e[1],u=r[0]*e[0],c=t?p:o,l=t?o:p;y.assert(l%e[1]===0&&c%e[0]===0&&o%e[1]===0,()=>`tileAHight ${l} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}, tileInner ${o} must be divisible by workgroupSize[1]${e[1]}`);let m=l/e[1],d=c/e[0],f=o/e[1],h=r[1],g=r[0],x=a?` let localRow = i32(localId.y); let localCol = i32(localId.x); let globalRowStart = i32(workgroupId.y) * ${p}; @@ -5528,7 +5571,7 @@ return a / b;`,M7=` // Load one tile of A into local memory. for (var inputRow = localRow; inputRow < ${l}; inputRow = inputRow + ${e[1]}) { for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) { - ${z3(t)} + ${CB(t)} } } // Load one tile of B into local memory. @@ -5551,8 +5594,8 @@ return a / b;`,M7=` for (var innerRow = 0; innerRow < ${h}; innerRow++) { let ACached = ${t?`mm_Asub[k][localRow + innerRow * ${e[1]}];`:`mm_Asub[localRow + innerRow * ${e[1]}][k];`} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + - ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -5583,7 +5626,7 @@ return a / b;`,M7=` for (var innerCol = 0; innerCol < ${d}; innerCol++) { let inputRow = tileRowA + innerRow; let inputCol = tileColA + innerCol; - ${z3(t)} + ${CB(t)} } } @@ -5608,9 +5651,10 @@ return a / b;`,M7=` } for (var innerRow = 0; innerRow < ${h}; innerRow++) { - ${Dre(t)} + ${jae(t)} for (var innerCol = 0; innerCol < ${g}; innerCol++) { - acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol]; + acc[innerRow][innerCol] = + fma(ACached, BCached[innerCol], acc[innerRow][innerCol]); } } } @@ -5628,7 +5672,7 @@ return a / b;`,M7=` var mm_Asub : array, ${l}>; var mm_Bsub : array, ${o}>; - ${Q()} { + ${K()} { let batch = ${n?"0":"i32(globalId.z)"}; let batchA = ${n||!i?"batch":"batch % uniforms.aShape[0]"}; let batchB = ${n||!i?"batch":"batch % uniforms.bShape[0]"}; @@ -5645,7 +5689,7 @@ return a / b;`,M7=` } ${x} } - `}var Fre=r=>r?` + `}var Xae=r=>r?` mm_readA(batchA, colA, globalRow), mm_readA(batchA, colA + 1, globalRow), mm_readA(batchA, colA + 2, globalRow), @@ -5655,10 +5699,10 @@ return a / b;`,M7=` mm_readA(batchA, globalRow, colA + 1), mm_readA(batchA, globalRow, colA + 2), mm_readA(batchA, globalRow, colA + 3) - `;function Ore(r,e=!1){y.assert(r[1]===1&&r[2]===1,()=>`A linear work group size is required. But got ${r}.`);let t=r[0]*4;return` + `;function Yae(r,e=!1){y.assert(r[1]===1&&r[2]===1,()=>`A linear work group size is required. But got ${r}.`);let t=r[0]*4;return` var mm_Asub : array, ${r[0]}>; - ${Q()} { + ${K()} { let tileCol = i32(localId.x); let globalCol = i32(globalId.x); let globalRow = i32(globalId.y); @@ -5674,7 +5718,7 @@ return a / b;`,M7=` for (var t = 0; t < numTiles; t++) { // Load one tile of A into local memory. let colA = t * ${t} + tileCol * 4; - mm_Asub[tileCol] = vec4(${Fre(e)}); + mm_Asub[tileCol] = vec4(${Xae(e)}); workgroupBarrier(); // Compute acc values for a single thread. @@ -5694,13 +5738,13 @@ return a / b;`,M7=` mm_write(batch, globalRow, globalCol, acc); } - `}var Eg=class{constructor(e,t,o=!1,n=!1,s=null,a=null,i=null,p=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let u=o?e[1]:e[2];if(this.isVec4=(u%4===0&&!o||t[1]%4===0&&o)&&t[2]%4===0&&!n,this.isVectorA=t[1]===1&&!o,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let m=dI(t[1],u,t[2],o);this.workgroupSize=m.workgroupSize,this.elementsPerThread=m.elementsPerThread}this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let c=s!=null,l=i!=null;c&&this.variableNames.push("bias"),l&&this.variableNames.push("preluActivationWeights"),this.sequentialAccessByThreads=p,this.transposeA=o,this.transposeB=n,this.addBias=c,this.activation=a,this.hasPreluActivationWeights=l,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],u),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${o}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,o){let n=this.workgroupSize[1]*this.elementsPerThread[1],s=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=s;let a=e%n===0,i=t%s===0,p=o%this.tileInner===0;return[a,i,p]}getUserCode(){return` - ${pr(this.activation,this.hasPreluActivationWeights,this.isVec4)} - ${Wl(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)} - ${this.isVec4?qu(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.isVectorA,!0):this.isVectorA?Ore(this.workgroupSize,this.transposeA):ju(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)} - `}};function Pre(r){return` + `}var Kg=class{constructor(e,t,o=!1,n=!1,s=null,a=null,i=null,p=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=t,this.dispatchLayout={x:[2],y:[1],z:[0]};let u=o?e[1]:e[2];if(this.isVec4=(u%4===0&&!o||t[1]%4===0&&o)&&t[2]%4===0&&!n,this.outputComponent=this.isVec4?4:1,this.isVectorA=t[1]===1&&!o,!this.isVec4&&this.isVectorA)this.elementsPerThread=[1,1,1],this.workgroupSize=[32,1,1];else{let m=Av(t[1],u,t[2],o);this.workgroupSize=m.workgroupSize,this.elementsPerThread=m.elementsPerThread}this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread);let c=s!=null,l=i!=null;c&&this.variableNames.push("bias"),l&&this.variableNames.push("preluActivationWeights"),this.sequentialAccessByThreads=p,this.transposeA=o,this.transposeB=n,this.addBias=c,this.activation=a,this.hasPreluActivationWeights=l,[this.fitAOuter,this.fitBOuter,this.fitInner]=this.getShapeFit(t[1],t[2],u),this.shaderKey=`matMulPacked_${this.elementsPerThread}_${o}_${n}_${this.activation}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.isVectorA}_${this.sequentialAccessByThreads}`}getShapeFit(e,t,o){let n=this.workgroupSize[1]*this.elementsPerThread[1],s=this.workgroupSize[0]*this.elementsPerThread[0];!this.isVec4&&this.isVectorA?this.tileInner=this.workgroupSize[0]*4:this.tileInner=s;let a=e%n===0,i=t%s===0,p=o%this.tileInner===0;return[a,i,p]}getUserCode(){return` + ${dr(this.activation,this.hasPreluActivationWeights,this.isVec4)} + ${lm(this.addBias,this.activation,!1,this.transposeB,this.fitAOuter,this.fitBOuter,this.fitInner,this.isVec4?4:1)} + ${this.isVec4?Tp(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,!0):this.isVectorA?Yae(this.workgroupSize,this.transposeA):_p(this.elementsPerThread,this.workgroupSize,this.transposeA,this.tileInner,!1,null,this.sequentialAccessByThreads,!0)} + `}};function Qae(r){return` var sumValues : array; - ${Q()} { + ${K()} { let coords = getOutputCoords(); let batch = coords[0]; let batchA = batch % uniforms.aShape[0]; @@ -5731,11 +5775,11 @@ return a / b;`,M7=` mm_write(batch, row, col, sum); } } - `}var Ag=class{constructor(e,t=!1,o=!1,n=null,s=null,a=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,p=a!=null;i&&this.variableNames.push("bias"),p&&this.variableNames.push("preluActivationWeights"),this.transposeA=t,this.transposeB=o,this.addBias=i,this.activation=s,this.hasPreluActivationWeights=p,this.shaderKey=`matMulReduce_${this.activation}_${t}_${o}`}getUserCode(){return` - ${pr(this.activation,this.hasPreluActivationWeights)} - ${Wl(this.addBias,this.activation,this.transposeA,this.transposeB)} - ${Pre(this.workgroupSize[0])} - `}};function Mre(r){let e=r[1],t=r[0],o=e>t?e:t;return` + `}var qg=class{constructor(e,t=!1,o=!1,n=null,s=null,a=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout={x:[],y:[1,2],z:[0]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize);let i=n!=null,p=a!=null;i&&this.variableNames.push("bias"),p&&this.variableNames.push("preluActivationWeights"),this.transposeA=t,this.transposeB=o,this.addBias=i,this.activation=s,this.hasPreluActivationWeights=p,this.shaderKey=`matMulReduce_${this.activation}_${t}_${o}`}getUserCode(){return` + ${dr(this.activation,this.hasPreluActivationWeights)} + ${lm(this.addBias,this.activation,this.transposeA,this.transposeB)} + ${Qae(this.workgroupSize[0])} + `}};function Zae(r){let e=r[1],t=r[0],o=e>t?e:t;return` var mm_Asub : array, ${e}>; var mm_Bsub : array, ${o}>; @@ -5745,7 +5789,7 @@ return a / b;`,M7=` // shared memory, so it is instruction-Level parallelism for arithmetic // operations and others handle IO operations between barrier api, makes ALU // and load/store units work simultaneously, could improves the performance. - ${Q()} { + ${K()} { let tileRow = i32(localId.y); let tileCol = i32(localId.x); let globalRow = i32(globalId.y); @@ -5787,13 +5831,13 @@ return a / b;`,M7=` mm_write(batch, globalRow, globalCol, acc); } - `}var Rg=class{constructor(e,t,o,n=!1,s=!1,a=null,i=null,p=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[16,8,1],this.outputShape=o,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(o[2]/this.workgroupSize[0]),Math.ceil(o[1]/this.workgroupSize[1]),o[0]];let u=a!=null;u&&this.variableNames.push("bias");let c=p!=null;c&&this.variableNames.push("preluActivationWeights"),this.transposeA=n,this.transposeB=s,this.addBias=u,this.activation=i,this.hasPreluActivationWeights=c,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${s}`}getUserCode(){return` - ${pr(this.activation,this.hasPreluActivationWeights)} - ${Wl(this.addBias,this.activation,this.transposeA,this.transposeB)} - ${Mre(this.workgroupSize)} - `}};var Dg=class{constructor(e,t,o=!1,n=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[8,8,1],this.atomic=!0,this.isVec4=!1,this.splitedDimInner=128,y.assert(e[0]===1,()=>"MatMulSplitKProgram only supports batch = 1."),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]},this.isVec4=(o&&this.outputShape[1]%4===0||!o&&t%4===0)&&this.outputShape[2]%4===0,this.elementsPerThread=[4,4,this.splitedDimInner],this.isVec4||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=Y(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=o,this.transposeB=n,this.shaderKey=`matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.isVec4}`}getUserCode(){let e=this.isVec4?4:1;return` - ${xI(!1,this.transposeB,!1,!1,!1,e)} - fn mm_write(batch: i32, row : i32, colIn : i32, value : ${kt(e)}) { + `}var jg=class{constructor(e,t,o,n=!1,s=!1,a=null,i=null,p=null){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[16,8,1],this.outputShape=o,this.dispatchLayout={x:[2],y:[1],z:[0]},this.dispatch=[Math.ceil(o[2]/this.workgroupSize[0]),Math.ceil(o[1]/this.workgroupSize[1]),o[0]];let u=a!=null;u&&this.variableNames.push("bias");let c=p!=null;c&&this.variableNames.push("preluActivationWeights"),this.transposeA=n,this.transposeB=s,this.addBias=u,this.activation=i,this.hasPreluActivationWeights=c,this.shaderKey=`matMulSmallOutputSize_${this.activation}_${n}_${s}`}getUserCode(){return` + ${dr(this.activation,this.hasPreluActivationWeights)} + ${lm(this.addBias,this.activation,this.transposeA,this.transposeB)} + ${Zae(this.workgroupSize)} + `}};var Xg=class{constructor(e,t,o=!1,n=!1){this.variableNames=["A","B"],this.uniforms="dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.workgroupSize=[8,8,1],this.atomic=!0,this.splitedDimInner=128,y.assert(e[0]===1,()=>"MatMulSplitKProgram only supports batch = 1."),this.outputShape=e,this.dispatchLayout={x:[2],y:[1],z:[0,3]};let s=(o&&this.outputShape[1]%4===0||!o&&t%4===0)&&this.outputShape[2]%4===0;this.elementsPerThread=[4,4,this.splitedDimInner],this.outputComponent=s?4:1,s||(this.outputShape[1]<16&&(this.elementsPerThread[1]=1),this.outputShape[2]<16&&(this.elementsPerThread[0]=1)),this.dispatch=q(this.dispatchLayout,[this.outputShape[0],this.outputShape[1],this.outputShape[2],t],this.workgroupSize,this.elementsPerThread),this.transposeA=o,this.transposeB=n,this.shaderKey=`matMulSplitK_${o}_${n}_${this.elementsPerThread}_${this.outputComponent}`}getUserCode(){let e=this.outputComponent;return` + ${Pv(!1,this.transposeB,!1,!1,!1,e)} + fn mm_write(batch: i32, row : i32, colIn : i32, value : ${Ae(e)}) { let col = colIn * ${e}; if (row < uniforms.dimAOuter && col < uniforms.dimBOuter) { let coords = vec3(batch, row, col); @@ -5801,34 +5845,34 @@ return a / b;`,M7=` // The problem is that we should initialize output to zero before using. // Otherwise, the original value will be added to the result. for (var i = 0; i < ${e}; i = i + 1) { - ${Ic("&result[flatIndex + i]",`${e>1?"value[i]":"value"}`,"float32")} + ${Bs("&result[flatIndex + i]",`${e>1?"value[i]":"value"}`,"float32")} } } } - ${this.isVec4?qu(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):ju(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)} - `}},Fg=class{constructor(e,t=null,o=null,n=null){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=o,this.addBias&&this.variableNames.push("bias"),this.hasPreluActivationWeights&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`biasActivation_${o}`}getUserCode(){return` - ${pr(this.activation,this.hasPreluActivationWeights)} - ${Q("index")} { + ${e===4?Tp(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner):_p(this.elementsPerThread,this.workgroupSize,this.transposeA,32,!0,this.splitedDimInner)} + `}},Yg=class{constructor(e,t=null,o=null,n=null){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t!=null,this.hasPreluActivationWeights=n!=null,this.activation=o,this.addBias&&this.variableNames.push("bias"),this.hasPreluActivationWeights&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`biasActivation_${o}`}getUserCode(){return` + ${dr(this.activation,this.hasPreluActivationWeights)} + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var value = getXByOutputIndex(index); - ${Gr(this.addBias,this.activation)} + ${jr(this.addBias,this.activation)} setOutputAtIndex(index, value); } } - `}};var Og=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="value : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="fill"}getUserCode(){return` - ${Q("index")} { + `}};var Qg=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="value : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="fill"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.value); } } - `}};function fr(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Og(o),i=[{type:"float32",data:[n]}];return e.runWebGPUProgram(a,[],s,i)}}var W3={kernelName:ws,backendName:"webgpu",kernelFunc:fr};function me(r){let{inputs:e,attrs:t}=r,{x:o}=e,{shape:n}=t,s=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(n,s),i=y.sizeFromShape(a);return y.assert(s===i,()=>`The new shape (${a}) has ${i} elements and the old shape (${o.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var U3={kernelName:_s,backendName:"webgpu",kernelFunc:me};function Xu({a:r,b:e,transposeA:t,transposeB:o,backend:n,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:p=null}){let u=r.shape.length,c=e.shape.length,l=t?r.shape[u-2]:r.shape[u-1],m=o?e.shape[c-1]:e.shape[c-2],d=t?r.shape[u-1]:r.shape[u-2],f=o?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),w=yr.assertAndGetBroadcastShape(r.shape.slice(0,-2),e.shape.slice(0,-2)).concat([d,f]);y.assert(l===m,()=>`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=me({inputs:{x:r},backend:n,attrs:{shape:k}}),A=me({inputs:{x:e},backend:n,attrs:{shape:_}}),R=[E,A],D=Math.max(x,b),P=[E,A],M=[{type:"int32",data:[d]},{type:"int32",data:[f]},{type:"int32",data:[l]}],L,V,z=[D,d,f],U=O().get("WEBGPU_MATMUL_PROGRAM_TYPE");if(U<0){let H=O().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),q=H>0?H:n.thresholdToIncreaseWorkgroups,Z=D*Math.ceil(d/32)*Math.ceil(f/32);Z<=q||d<=8&&Z<=q*2?D*d*f<=128?U=Ro.MatMulReduceProgram:D===1&&m>=2e3?U=Ro.MatMulSplitKProgram:U=Ro.MatMulSmallOutputSizeProgram:U=Ro.MatMulPackedProgram}switch(U){case Ro.MatMulReduceProgram:L=new Ag(z,t,o,s,p,a);break;case Ro.MatMulSplitKProgram:{if(V=fr({backend:n,attrs:{shape:z,value:0,dtype:r.dtype}}),L=new Dg(z,m,t,o),s||p){V=n.runWebGPUProgram(L,P,r.dtype,M,V);let q=new Fg(V.shape,s,p,a),Z=null,ee=[V];s&&ee.push(s),a&&ee.push(a),p==="leakyrelu"&&(Z=[{type:"float32",data:[i]}],q.uniforms+=" alpha : f32,");let oe=n.runWebGPUProgram(q,ee,V.dtype,Z);R.push(V);let J=me({inputs:{x:oe},backend:n,attrs:{shape:w}});R.push(oe);for(let te of R)n.disposeData(te.dataId);return J}break}case Ro.MatMulSmallOutputSizeProgram:L=new Rg(k,_,z,t,o,s,p,a);break;case Ro.MatMulPackedProgram:let H=n.adapterInfo.isIntel();L=new Eg(k,z,t,o,s,p,a,H);break;default:throw new Error(`Unsupported MatMulProgramType ${U}.`)}s&&P.push(s),a&&P.push(a),p==="leakyrelu"&&(M.push({type:"float32",data:[i]}),L.uniforms+=" alpha : f32,"),V=n.runWebGPUProgram(L,P,r.dtype,M,V);let K=me({inputs:{x:V},backend:n,attrs:{shape:w}});R.push(V);for(let H of R)n.disposeData(H.dataId);return K}function Lre(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return Xu({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var G3={kernelName:ho,backendName:"webgpu",kernelFunc:Lre};var Ul=class{constructor(e,t,o){this.variableNames=["AReal","AImag","BReal","BImag"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=S.assertAndGetBroadcastShape(t,o),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return` + `}};function Vt(r){let{backend:e,attrs:t}=r,{shape:o,value:n}=t,{dtype:s}=t;if(s=s||y.inferDtype(n),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(o));return a.fill(n),e.makeTensorInfo(o,s,a)}else{let a=new Qg(o),i=[{type:"float32",data:[n]}];return e.runWebGPUProgram(a,[],s,i)}}var wB={kernelName:ea,backendName:"webgpu",kernelFunc:Vt};function pe(r){let{inputs:e,attrs:t}=r,{x:o}=e,{shape:n}=t,s=y.sizeFromShape(o.shape),a=y.inferFromImplicitShape(n,s),i=y.sizeFromShape(a);return y.assert(s===i,()=>`The new shape (${a}) has ${i} elements and the old shape (${o.shape}) has ${s} elements. The new shape and old shape must have the same number of elements.`),r.backend.incRef(o.dataId),{dataId:o.dataId,shape:a,dtype:o.dtype}}var SB={kernelName:ia,backendName:"webgpu",kernelFunc:pe};function $p({a:r,b:e,transposeA:t,transposeB:o,backend:n,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:p=null}){let u=r.shape.length,c=e.shape.length,l=t?r.shape[u-2]:r.shape[u-1],m=o?e.shape[c-1]:e.shape[c-2],d=t?r.shape[u-1]:r.shape[u-2],f=o?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),S=Sr.assertAndGetBroadcastShape(r.shape.slice(0,-2),e.shape.slice(0,-2)).concat([d,f]);y.assert(l===m,()=>`Error in matMul: inner shapes (${l}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${o} must match.`);let k=t?[x,l,d]:[x,d,l],_=o?[b,f,m]:[b,m,f],E=pe({inputs:{x:r},backend:n,attrs:{shape:k}}),R=pe({inputs:{x:e},backend:n,attrs:{shape:_}}),D=[E,R],F=Math.max(x,b),O=[E,R],M=[{type:"int32",data:[d]},{type:"int32",data:[f]},{type:"int32",data:[l]}],L,B,z=[F,d,f],U=P().get("WEBGPU_MATMUL_PROGRAM_TYPE");if(U<0){let H=P().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),X=H>0?H:n.thresholdToIncreaseWorkgroups,J=F*Math.ceil(d/32)*Math.ceil(f/32);J<=X||d<=8&&J<=X*2?F*d*f<=128?U=Oo.MatMulReduceProgram:F===1&&m>=2e3?U=Oo.MatMulSplitKProgram:U=Oo.MatMulSmallOutputSizeProgram:U=Oo.MatMulPackedProgram}switch(U){case Oo.MatMulReduceProgram:L=new qg(z,t,o,s,p,a);break;case Oo.MatMulSplitKProgram:{if(B=Vt({backend:n,attrs:{shape:z,value:0,dtype:r.dtype}}),L=new Xg(z,m,t,o),s||p){B=n.runWebGPUProgram(L,O,r.dtype,M,B);let X=new Yg(B.shape,s,p,a),J=null,re=[B];s&&re.push(s),a&&re.push(a),p==="leakyrelu"&&(J=[{type:"float32",data:[i]}],X.uniforms+=" alpha : f32,");let ne=n.runWebGPUProgram(X,re,B.dtype,J);D.push(B);let ee=pe({inputs:{x:ne},backend:n,attrs:{shape:S}});D.push(ne);for(let oe of D)n.disposeData(oe.dataId);return ee}break}case Oo.MatMulSmallOutputSizeProgram:L=new jg(k,_,z,t,o,s,p,a);break;case Oo.MatMulPackedProgram:let H=n.adapterInfo.isIntel();L=new Kg(k,z,t,o,s,p,a,H);break;default:throw new Error(`Unsupported MatMulProgramType ${U}.`)}s&&O.push(s),a&&O.push(a),p==="leakyrelu"&&(M.push({type:"float32",data:[i]}),L.uniforms+=" alpha : f32,"),B=n.runWebGPUProgram(L,O,r.dtype,M,B);let j=pe({inputs:{x:B},backend:n,attrs:{shape:S}});D.push(B);for(let H of D)n.disposeData(H.dataId);return j}function Jae(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:p,transposeB:u,activation:c,leakyreluAlpha:l}=o;return $p({a:n,b:s,transposeA:p,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:l,activation:c})}var IB={kernelName:bo,backendName:"webgpu",kernelFunc:Jae};var mm=class{constructor(e,t,o){this.variableNames=["AReal","AImag","BReal","BImag"],this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=C.assertAndGetBroadcastShape(t,o),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`binaryOpComplex_${e}`,this.op=e}getUserCode(){return` fn binaryOpComplex( areal : f32, aimag : f32, breal : f32, bimag : f32) -> f32 { - ${kc(this.op,!1)} + ${Kc(this.op,!1)} } - ${Q("index")} { + ${K("index")} { if(index < uniforms.size) { let areal = getARealByOutputIndex(index); let aimag = getAImagByOutputIndex(index); @@ -5837,19 +5881,16 @@ return a / b;`,M7=` setOutputAtIndex(index, binaryOpComplex(areal, aimag, breal, bimag)); } } - `}};var Yu=class{constructor(e,t,o){this.size=!0,this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(t,o),this.dispatchLayout=ae(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&o.length>1&&t[0]<128,this.useSharedMemoryWithB=o.length<=1&&t.length>1&&o[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB?(this.isVec4=!1,this.lastDimensionSize=this.useSharedMemoryWithB?o[0]:t[0],this.shaderKey=`binary_${this.type}_${e}_${this.lastDimensionSize}_${this.useSharedMemoryWithB}`,this.type="shared",this.workgroupSize=[256,1,1],this.workPerThread=1):(y.arraysEqual(t,o)&&y.sizeFromShape(t)%4===0?(this.isVec4=!0,this.type="vec4",this.workPerThread=4):(this.isVec4=!1,this.type="plain",this.workPerThread=1),this.shaderKey=`binary_${this.type}_${e}`,this.workgroupSize=[128,1,1]),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1])}getUserCode(){let e,t=this.isVec4?"vec4":"f32",o=` + `}};var bi=class{constructor(e,t,o){if(this.size=!0,this.variableNames=["A","B"],this.outputShape=C.assertAndGetBroadcastShape(t,o),this.dispatchLayout=Z(this.outputShape),this.op=e,this.useSharedMemoryWithA=t.length<=1&&o.length>1&&t[0]<128,this.useSharedMemoryWithB=o.length<=1&&t.length>1&&o[0]<128,this.useSharedMemoryWithA||this.useSharedMemoryWithB)this.outputComponent=1,this.variableComponents=[1,1],this.lastDimensionSize=this.useSharedMemoryWithB?o[0]:t[0],this.shaderKey=`binary_${e}_${this.lastDimensionSize}`,this.type="shared",this.workgroupSize=[256,1,1];else{let n=t.length>0&&t[t.length-1]%4===0,s=o.length>0&&o[o.length-1]%4===0;n&&s?(this.outputComponent=4,this.variableComponents=[4,4]):n&&(y.isScalarShape(o)||o[o.length-1]===1)||s&&(y.isScalarShape(t)||t[t.length-1]===1)?(this.outputComponent=4,this.variableComponents=n?[4,1]:[1,4]):(this.outputComponent=1,this.variableComponents=[1,1]),this.type="nonshared",this.shaderKey=`binary_${e}_${this.variableComponents}`,this.workgroupSize=[128,1,1]}this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.outputComponent,1,1])}getUserCode(){let e,t=this.outputComponent===4?"vec4":"f32",o=` fn binaryOperation(a : ${t}, b : ${t}) -> ${t} { - let isNaN = false; - { - ${kc(this.op,this.isVec4)} - } + ${Kc(this.op,this.outputComponent===4)} }; `;if(this.type==="shared"){let n=this.lastDimensionSize>1?`coords[${this.outputShape.length-1}]`:"0",s=this.useSharedMemoryWithB?`let a = getAByOutputIndex(index); let b = sharedBuf[${n}];`:`let a = sharedBuf[${n}]; let b = getBByOutputIndex(index);`;e=` ${o} var sharedBuf : array; - ${Q("index")} { + ${K("index")} { // Fill in the shared memory buffer. let localIndex = i32(localId.x); if(localIndex < ${this.lastDimensionSize}) { @@ -5865,25 +5906,26 @@ return a / b;`,M7=` } `}else e=` ${o} - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { - let a = getAByOutputIndex(index); - let b = getBByOutputIndex(index); + let coords = getCoordsFromIndex(index * ${this.outputComponent}); + let a = ${t}(getAByOutputCoords(coords)); + let b = ${t}(getBByOutputCoords(coords)); setOutputAtIndex(index, binaryOperation(a, b)); } } - `;return e}};function Dt(r){let{inputs:e}=r,{x:t}=e;return r.backend.incRef(t.dataId),{dataId:t.dataId,shape:t.shape,dtype:t.dtype}}var H3={kernelName:mo,backendName:"webgpu",kernelFunc:Dt};function po(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,"complex64"),a=t.tensorMap.get(s.dataId),i=Dt({inputs:{x:o},backend:t}),p=Dt({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var K3={kernelName:ri,backendName:"webgpu",kernelFunc:po};var Hr=class{constructor(e,t,o=""){this.variableNames=["A"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,o!==""&&(this.uniforms=o),this.shaderKey=`unary_${t}`}getUserCode(){return` + `;return e}};function At(r){let{inputs:e}=r,{x:t}=e;return r.backend.incRef(t.dataId),{dataId:t.dataId,shape:t.shape,dtype:t.dtype}}var vB={kernelName:xo,backendName:"webgpu",kernelFunc:At};function fo(r){let{inputs:e,backend:t}=r,{real:o,imag:n}=e,s=t.makeTensorInfo(o.shape,"complex64"),a=t.tensorMap.get(s.dataId),i=At({inputs:{x:o},backend:t}),p=At({inputs:{x:n},backend:t});return a.complexTensorInfos={real:i,imag:p},s}var kB={kernelName:Ti,backendName:"webgpu",kernelFunc:fo};var Xr=class{constructor(e,t,o=""){this.variableNames=["A"],this.size=!0;let n=128;this.workgroupSize=[n,1,1],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.op=t,o!==""&&(this.uniforms=o),this.shaderKey=`unary_${t}`}getUserCode(){return` fn unaryOperation(a : f32) -> f32 { - ${ja(this.op,!1)} + ${yi(this.op,!1)} } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let a = getAByOutputIndex(index); setOutputAtIndex(index, unaryOperation(a)); } } - `}};function xe({opType:r,cpuKernelImpl:e,dtype:t}){return({inputs:o,backend:n})=>{let{x:s}=o,a=n,i=t||s.dtype;if(a.shouldExecuteOnCPU([s])&&e!=null){let u=a.tensorMap.get(s.dataId),c=e(u.values,i);return a.makeTensorInfo(s.shape,i,c)}let p=new Hr(s.shape,r);return a.runWebGPUProgram(p,[s],i)}}function Ze({opType:r,cpuKernelImpl:e,supportsComplex:t=!1,dtype:o}){return({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(t&&a.dtype==="complex64"){let l=p.tensorMap.get(a.dataId),m=p.tensorMap.get(i.dataId),d,f;if(r!==ge.MUL)[d,f]=[[l.complexTensorInfos.real,m.complexTensorInfos.real],[l.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(g=>{let[x,b]=g,C={dataId:x.dataId,dtype:x.dtype,shape:a.shape},w={dataId:b.dataId,dtype:b.dtype,shape:i.shape},k=new Yu(r,a.shape,i.shape);return p.runWebGPUProgram(k,[C,w],dt(x.dtype,b.dtype))});else{let g=new Ul(ge.COMPLEX_MULTIPLY_REAL,a.shape,i.shape),x=new Ul(ge.COMPLEX_MULTIPLY_IMAG,a.shape,i.shape),b=[{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:m.complexTensorInfos.real.dataId,dtype:m.complexTensorInfos.real.dtype,shape:i.shape},{dataId:m.complexTensorInfos.imag.dataId,dtype:m.complexTensorInfos.imag.dtype,shape:i.shape}];d=p.runWebGPUProgram(g,b,"float32"),f=p.runWebGPUProgram(x,b,"float32")}let h=po({inputs:{real:d,imag:f},backend:p});return p.disposeData(d.dataId),p.disposeData(f.dataId),h}let u=o||dt(a.dtype,i.dtype);if((a.dtype==="string"||i.dtype==="string"||p.shouldExecuteOnCPU([a,i]))&&e!=null){let l=p.tensorMap.get(a.dataId).values,m=p.tensorMap.get(i.dataId).values,d=a.dtype==="string"?S.fromUint8ToStringArray(l):l,f=a.dtype==="string"?S.fromUint8ToStringArray(m):m,[h,g]=e(a.shape,i.shape,d,f,u);return p.makeTensorInfo(g,u,h)}let c=new Yu(r,a.shape,i.shape);return p.runWebGPUProgram(c,[a,i],u)}}var{addImpl:q3,castImpl:j3,ceilImpl:X3,concatImpl:Y3,equalImpl:Q3,expImpl:Z3,expm1Impl:J3,floorImpl:eM,gatherNdImpl:tM,gatherV2Impl:rM,greaterEqualImpl:oM,greaterImpl:nM,lessEqualImpl:sM,lessImpl:aM,logImpl:iM,maxImpl:uM,maximumImpl:pM,minimumImpl:cM,multiplyImpl:lM,negImpl:mM,notEqualImpl:dM,prodImpl:fM,rangeImpl:hM,rsqrtImpl:gM,scatterImpl:xM,simpleAbsImpl:yM,sliceImpl:bM,stridedSliceImpl:CM,stringNGramsImpl:SM,subImpl:wM,tileImpl:IM,topKImpl:vM,transposeImpl:kM,uniqueImpl:iTt}=Zp;var Bre=xe({opType:X.ABS,cpuKernelImpl:yM}),NM={kernelName:ys,backendName:"webgpu",kernelFunc:Bre};var Vre=xe({opType:X.ACOS}),TM={kernelName:aa,backendName:"webgpu",kernelFunc:Vre};var zre=xe({opType:X.ACOSH}),_M={kernelName:ia,backendName:"webgpu",kernelFunc:zre};var Wre=Ze({opType:ge.ADD,cpuKernelImpl:q3,supportsComplex:!0}),$M={kernelName:eo,backendName:"webgpu",kernelFunc:Wre};var Pg=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="addN"}getUserCode(){let e=[];this.variableNames.forEach(n=>{e.push(`let v${n} = get${n}ByOutputCoords(coords);`)});let t=this.variableNames.map(n=>`v${n}`).join(" + ");return` - ${Q("index")} { + `}};function xe({opType:r,cpuKernelImpl:e,dtype:t}){return({inputs:o,backend:n})=>{let{x:s}=o,a=n,i=t||s.dtype;if(a.shouldExecuteOnCPU([s])&&e!=null){let u=a.tensorMap.get(s.dataId),c=e(u.values,i);return a.makeTensorInfo(s.shape,i,c)}let p=new Xr(s.shape,r);return a.runWebGPUProgram(p,[s],i)}}function et({opType:r,cpuKernelImpl:e,supportsComplex:t=!1,dtype:o}){return({inputs:n,backend:s})=>{let{a,b:i}=n,p=s;if(t&&a.dtype==="complex64"){let l=p.tensorMap.get(a.dataId),m=p.tensorMap.get(i.dataId),d,f;if(r!==fe.MUL)[d,f]=[[l.complexTensorInfos.real,m.complexTensorInfos.real],[l.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(g=>{let[x,b]=g,w={dataId:x.dataId,dtype:x.dtype,shape:a.shape},S={dataId:b.dataId,dtype:b.dtype,shape:i.shape},k=new bi(r,a.shape,i.shape);return p.runWebGPUProgram(k,[w,S],dt(x.dtype,b.dtype))});else{let g=new mm(fe.COMPLEX_MULTIPLY_REAL,a.shape,i.shape),x=new mm(fe.COMPLEX_MULTIPLY_IMAG,a.shape,i.shape),b=[{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:m.complexTensorInfos.real.dataId,dtype:m.complexTensorInfos.real.dtype,shape:i.shape},{dataId:m.complexTensorInfos.imag.dataId,dtype:m.complexTensorInfos.imag.dtype,shape:i.shape}];d=p.runWebGPUProgram(g,b,"float32"),f=p.runWebGPUProgram(x,b,"float32")}let h=fo({inputs:{real:d,imag:f},backend:p});return p.disposeData(d.dataId),p.disposeData(f.dataId),h}let u=o||dt(a.dtype,i.dtype);if((a.dtype==="string"||i.dtype==="string"||p.shouldExecuteOnCPU([a,i]))&&e!=null){let l=p.tensorMap.get(a.dataId).values,m=p.tensorMap.get(i.dataId).values,d=a.dtype==="string"?C.fromUint8ToStringArray(l):l,f=a.dtype==="string"?C.fromUint8ToStringArray(m):m,[h,g]=e(a.shape,i.shape,d,f,u);return p.makeTensorInfo(g,u,h)}let c=new bi(r,a.shape,i.shape);return p.runWebGPUProgram(c,[a,i],u)}}var{addImpl:NB,castImpl:TB,ceilImpl:_B,concatImpl:$B,equalImpl:EB,expImpl:RB,expm1Impl:DB,floorImpl:AB,floorDivImpl:FB,gatherNdImpl:PB,gatherV2Impl:OB,greaterEqualImpl:MB,greaterImpl:LB,lessEqualImpl:BB,lessImpl:zB,logImpl:VB,maxImpl:WB,maximumImpl:UB,minimumImpl:GB,multiplyImpl:HB,negImpl:KB,notEqualImpl:qB,prodImpl:jB,rangeImpl:XB,rsqrtImpl:YB,scatterImpl:QB,simpleAbsImpl:ZB,sliceImpl:JB,stridedSliceImpl:ez,stringNGramsImpl:tz,subImpl:rz,tileImpl:oz,topKImpl:nz,transposeImpl:sz,uniqueImpl:o3t}=Sc;var eie=xe({opType:Q.ABS,cpuKernelImpl:ZB}),az={kernelName:Gs,backendName:"webgpu",kernelFunc:eie};var tie=xe({opType:Q.ACOS}),iz={kernelName:zo,backendName:"webgpu",kernelFunc:tie};var rie=xe({opType:Q.ACOSH}),uz={kernelName:Vo,backendName:"webgpu",kernelFunc:rie};var oie=et({opType:fe.ADD,cpuKernelImpl:NB,supportsComplex:!0}),pz={kernelName:no,backendName:"webgpu",kernelFunc:oie};var Zg=class{constructor(e){this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e[0],this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="addN"}getUserCode(){let e=[];this.variableNames.forEach(n=>{e.push(`let v${n} = get${n}ByOutputCoords(coords);`)});let t=this.variableNames.map(n=>`v${n}`).join(" + ");return` + ${K("index")} { for (var i = 0; i < ${this.workPerThread}; i = i + 1) { let flatIndex = index * ${this.workPerThread} + i; if (flatIndex < uniforms.size) { @@ -5894,9 +5936,9 @@ return a / b;`,M7=` } } } - `}};function Ure(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return Dt({inputs:{x:o[0]},backend:t});let n=o.map(i=>i.dtype).reduce((i,p)=>dt(i,p)),s=o.map(i=>i.shape),a=new Pg(s);return t.runWebGPUProgram(a,o,n)}var EM={kernelName:Po,backendName:"webgpu",kernelFunc:Ure};var Mg=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[16,16,1];let o=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return` + `}};function nie(r){let{inputs:e,backend:t}=r,o=e;if(o.length===1)return At({inputs:{x:o[0]},backend:t});let n=o.map(i=>i.dtype).reduce((i,p)=>dt(i,p)),s=o.map(i=>i.shape),a=new Zg(s);return t.runWebGPUProgram(a,o,n)}var cz={kernelName:Wo,backendName:"webgpu",kernelFunc:nie};var Jg=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[16,16,1];let o=new Array(e.length);for(let n=0;n`Must be a square tile, current tile shape is ${this.workgroupSize[0]} x ${this.workgroupSize[1]}`);let e=this.workgroupSize[0];return` var tile : array, ${this.workgroupSize[0]}>; - ${Q()} { + ${K()} { var x = i32(workgroupId.x) * ${e} + i32(localId.x); var y = i32(workgroupId.y) * ${e} + i32(localId.y); let width = uniforms.outShape[0]; @@ -5913,8 +5955,8 @@ return a / b;`,M7=` [localId.y]); } } - `}};var Lg=class{constructor(e,t){this.variableNames=["A"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=new Array(e);for(let o=0;o6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=new Array(e);for(let o=0;o=32768&&o>=512?this.workgroupSize=[512,1,1]:e.inSize>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,[1,1,1]),this.reduceType=t,this.shaderKey=`reduce_${t}`}getUserCode(){let e="",t="0.0",o=this.workgroupSize[0];this.reduceType==="min"||this.reduceType==="max"?(e=` if (isnan(candidate)) { bestValue = uniforms.NAN; } else if (!isnan(bestValue) && candidate ${this.reduceType==="min"?"<":">"} bestValue) @@ -5941,7 +5983,7 @@ return a / b;`,M7=` let offset = ${this.outputShape.length===1?"outputCoords":"outputCoords[0]"} * uniforms.reduceSize; return offset; } - ${Q("index")} { + ${K("index")} { let outputIndex = index / ${o}; let offset = getOffset(outputIndex); var bestValue = ${t}; @@ -5972,7 +6014,7 @@ return a / b;`,M7=` ${n} } } - `}};function Kr(r,e,t,o,n){let s=r.shape.length,a=[],i=y.parseAxisParam(e,r.shape),p=i,u=S.getAxesPermutation(p,s),c=r;u!=null&&(c=Nr({inputs:{x:r},attrs:{perm:u},backend:n}),p=S.getInnerMostAxes(p.length,s),a.push(c)),S.assertAxesAreInnerMostDims(o,p,s);let[l,m]=S.computeOutAndReduceShapes(c.shape,p),d=l;t&&(d=S.expandShapeToKeepDim(l,i));let f;if((o==="max"||o==="prod")&&n.shouldExecuteOnCPU([c])){let h=n.tensorMap.get(c.dataId).values;switch(o){case"max":let g=uM(h,y.sizeFromShape(m),d,r.dtype);f=n.makeTensorInfo(d,r.dtype,g);break;case"prod":let{outVals:x,outShape:b,outDtype:C}=fM(c.shape,c.dtype,h,p);f=n.makeTensorInfo(b,C,x);break;default:throw new Error(`${o} CPU implementation is not yet supported.`)}}else{let h=y.sizeFromShape(m),x=y.sizeFromShape(c.shape)/h,b={windowSize:h,inSize:h,batchSize:x,outSize:1},C=o==="mean"?"float32":Ta(r.dtype),w=[{type:"int32",data:[h]}],k=new Bg(b,o),_=n.runWebGPUProgram(k,[c],C,w);a.push(_),f=me({inputs:{x:_},attrs:{shape:d},backend:n})}return a.forEach(h=>n.disposeData(h.dataId)),f}function Hre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,"all",t)}var RM={kernelName:Mo,backendName:"webgpu",kernelFunc:Hre};function Kre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,"any",t)}var DM={kernelName:Lo,backendName:"webgpu",kernelFunc:Kre};var Nc=class{constructor(e,t,o){this.workgroupSize=[64,1,1],this.variableNames=["x"],this.uniforms="infinityValue : f32,",this.size=!0;let n=[t];this.op=o==="min"?"<":">";let[s,a]=S.computeOutAndReduceShapes(e,n);this.outputShape=s.length===0?[1]:s,this.dispatchLayout=ae(this.outputShape),y.sizeFromShape(a)<32||y.sizeFromShape(s)>1e3?(this.type="plain",this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type="shared",this.dispatch=Y(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?"uniforms.xShape":`uniforms.xShape.${Ao(this.inputShape.length-1)}`,o=()=>{let n="";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+="outputCoords,");else for(let s=0;sn.disposeData(h.dataId)),f}function aie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,"all",t)}var mz={kernelName:Uo,backendName:"webgpu",kernelFunc:aie};function iie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,"any",t)}var dz={kernelName:Go,backendName:"webgpu",kernelFunc:iie};var qc=class{constructor(e,t,o){this.workgroupSize=[64,1,1],this.variableNames=["x"],this.uniforms="infinityValue : f32,",this.size=!0;let n=[t];this.op=o==="min"?"<":">";let[s,a]=C.computeOutAndReduceShapes(e,n);this.outputShape=s.length===0?[1]:s,this.dispatchLayout=Z(this.outputShape),y.sizeFromShape(a)<32||y.sizeFromShape(s)>1e3?(this.type="plain",this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize)):(this.type="shared",this.dispatch=q(this.dispatchLayout,this.outputShape,[1,1,1])),this.inputShape=e,this.shaderKey=`argMinMax_${this.op}_${this.type}`}getUserCode(){let e=this.workgroupSize[0],t=()=>this.inputShape.length===1?"uniforms.xShape":`uniforms.xShape.${Po(this.inputShape.length-1)}`,o=()=>{let n="";if(this.outputShape.length===1)this.inputShape.length!==1&&(n+="outputCoords,");else for(let s=0;s u32 { return ((a - 1u) / b + 1u); } @@ -5982,7 +6024,7 @@ return a / b;`,M7=` var xBestValues : array; `} - ${Q("index")} { + ${K("index")} { let outputIndex = index / ${e}; let reduceLength = ${t()}; @@ -6022,7 +6064,7 @@ return a / b;`,M7=` } } `:` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let outputCoords = getCoordsFromIndex(index); var bestIndex = 0; @@ -6038,47 +6080,14 @@ return a / b;`,M7=` setOutputAtIndexI32(index, bestIndex); } } - `}};function qre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=Nr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims("argMax",[a[0]],p.shape.length);let c=new Nc(p.shape,a[0],"max"),l=[{type:"float32",data:[Number.NEGATIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],"int32",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var FM={kernelName:Bo,backendName:"webgpu",kernelFunc:qre};function jre(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=S.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=Nr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=S.getInnerMostAxes(a.length,p.shape.length)),S.assertAxesAreInnerMostDims("argMin",[a[0]],p.shape.length);let c=new Nc(p.shape,a[0],"min"),l=[{type:"float32",data:[Number.POSITIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],"int32",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var OM={kernelName:ei,backendName:"webgpu",kernelFunc:jre};var Xre=xe({opType:X.ASIN}),PM={kernelName:ua,backendName:"webgpu",kernelFunc:Xre};var Yre=xe({opType:X.ASINH}),MM={kernelName:pa,backendName:"webgpu",kernelFunc:Yre};var Qre=xe({opType:X.ATAN}),LM={kernelName:ca,backendName:"webgpu",kernelFunc:Qre};var Zre=Ze({opType:ge.ATAN2}),BM={kernelName:ma,backendName:"webgpu",kernelFunc:Zre};var Jre=xe({opType:X.ATANH}),VM={kernelName:la,backendName:"webgpu",kernelFunc:Jre};var Gl=class{constructor(e,t){this.variableNames=["x"],this.uniforms="stride : vec2, pad : vec2, dilation : vec2, convDims : vec2, filterDims : vec2,",this.workgroupSize=[128,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`pool2D_${t}`,this.poolType=t}getUserCode(){let e="resultValue = max(value, resultValue);";this.poolType==="avg"&&(e="resultValue = resultValue + value; count = count + 1.0;");let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` - ${Q("index")} { - if (index < uniforms.size) { - let coords = getCoordsFromIndex(index); - let batch = coords[0]; - let xRCCorner = vec2(coords.yz) * uniforms.stride - uniforms.pad; - let xRCorner = xRCCorner.x; - let xCCorner = xRCCorner.y; - - var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"}; - var count = 0.0; - - for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilation.x) { - let xR = xRCorner + wR; - - if (xR < 0 || xR >= uniforms.convDims.x) { - continue; - } - - for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilation.y) { - let xC = xCCorner + wC; - if (xC < 0 || xC >= uniforms.convDims.y) { - continue; - } - - let value = getX(batch, xR, xC, coords[3]); - ${e} - } - } - - setOutputAtIndex(index, ${t}); - } - } - `}};var Vg=class{constructor(e){this.variableNames=["x"],this.uniforms="stride : vec2,",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="poolWithFilterSizeEqualsOne"}getUserCode(){return` - ${Q("index")} { + `}};function uie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=rr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims("argMax",[a[0]],p.shape.length);let c=new qc(p.shape,a[0],"max"),l=[{type:"float32",data:[Number.NEGATIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],"int32",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var fz={kernelName:Hs,backendName:"webgpu",kernelFunc:uie};function pie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s}=o,a=y.parseAxisParam(s,n.shape),i=C.getAxesPermutation(a,n.shape.length),p=n,u=[];i!=null&&(p=rr({inputs:{x:n},backend:t,attrs:{perm:i}}),u.push(p),a=C.getInnerMostAxes(a.length,p.shape.length)),C.assertAxesAreInnerMostDims("argMin",[a[0]],p.shape.length);let c=new qc(p.shape,a[0],"min"),l=[{type:"float32",data:[Number.POSITIVE_INFINITY]}],m=t.runWebGPUProgram(c,[p],"int32",l);return u.forEach(d=>t.disposeData(d.dataId)),m}var hz={kernelName:Ks,backendName:"webgpu",kernelFunc:pie};var cie=xe({opType:Q.ASIN}),gz={kernelName:Ho,backendName:"webgpu",kernelFunc:cie};var lie=xe({opType:Q.ASINH}),xz={kernelName:Ko,backendName:"webgpu",kernelFunc:lie};var mie=xe({opType:Q.ATAN}),yz={kernelName:qo,backendName:"webgpu",kernelFunc:mie};var die=et({opType:fe.ATAN2}),bz={kernelName:Xo,backendName:"webgpu",kernelFunc:die};var fie=xe({opType:Q.ATANH}),Cz={kernelName:jo,backendName:"webgpu",kernelFunc:fie};var rx=class{constructor(e){this.variableNames=["x"],this.uniforms="strides : vec2,",this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="poolWithFilterSizeEqualsOne"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; let d = coords[3]; - let xRCCorner = coords.yz * uniforms.stride; + let xRCCorner = coords.yz * uniforms.strides; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -6086,9 +6095,99 @@ return a / b;`,M7=` setOutputAtIndex(index, value); } } - `}};function Hl(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o;return Kr(n,s,a,"max",t)}var zM={kernelName:yn,backendName:"webgpu",kernelFunc:Hl};function yI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Kr(n,a,s,"mean",t)}var WM={kernelName:Sn,backendName:"webgpu",kernelFunc:yI};function zg(r,e,t,o){if(e.filterWidth===1&&e.filterHeight===1&&y.arraysEqual(e.inShape,e.outShape))return Dt({inputs:{x:r},backend:o});if(e.filterWidth===e.inWidth&&e.filterHeight===e.inHeight&&e.batchSize===1&&e.padInfo.type==="VALID"){let a=r.shape.length,i=me({inputs:{x:r},backend:o,attrs:{shape:[r.shape[a-3]*r.shape[a-2],r.shape[a-1]]}}),p;t==="avg"?p=yI({inputs:{x:i},backend:o,attrs:{axis:0,keepDims:!1}}):(y.assert(t==="max",()=>`Invalid pool type ${t}`),p=Hl({inputs:{x:i},backend:o,attrs:{reductionIndices:0,keepDims:!1}}));let u=me({inputs:{x:p},backend:o,attrs:{shape:e.outShape}});return o.disposeData(i.dataId),o.disposeData(p.dataId),u}let n,s=[{type:"int32",data:[e.strideHeight,e.strideWidth]}];return e.filterHeight===1&&e.filterWidth===1?n=new Vg(e):(t==="avg"?n=new Gl(e,"avg"):(y.assert(t==="max",()=>`Invalid pool type ${t}`),n=new Gl(e,"max")),s.push({type:"int32",data:[e.padInfo.top,e.padInfo.left]},{type:"int32",data:[e.dilationHeight,e.dilationWidth]},{type:"int32",data:[e.inHeight,e.inWidth]},{type:"int32",data:[e.effectiveFilterHeight,e.effectiveFilterWidth]})),o.runWebGPUProgram(n,[r],r.dtype,s)}function eoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=S.computePool2DInfo(n.shape,s,a,u,i,p);return zg(n,c,"avg",t)}var UM={kernelName:Vo,backendName:"webgpu",kernelFunc:eoe};var Wg=class{constructor(e){this.variableNames=["dy"],this.uniforms=`stride : vec2, pads : vec2, dilation : vec2, filterDims : vec2, - outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avg_pool2d_backprop"}getUserCode(){return` - ${Q("index")} { + `}};var Da=class{constructor(e,t,o=!1,n=!1,s=!1){if(this.variableNames=["x"],this.uniforms="strides : vec2, pads : vec2, dilations : vec2, convDims : vec2, filterDims : vec2,",this.workgroupSize=[128,1,1],this.size=!0,t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=o,this.flattenPositions=n,this.includeBatchIndex=s,this.shaderKey=`pool2D_${t}_${o}_${n}_${s}`}getUserCode(){let e;this.poolType==="avg"?e="resultValue = resultValue + value; count = count + 1.0;":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions?this.includeBatchIndex?"((batch * uniforms.xShape[1] + xR) * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d":"(xR * uniforms.xShape[2] + xC) * uniforms.xShape[3] + d":"wR * uniforms.filterDims.y + wC"}; + }`:e="resultValue = max(value, resultValue);";let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + let xRCCorner = vec2(coords.yz) * uniforms.strides - uniforms.pads; + let xRCorner = xRCCorner.x; + let xCCorner = xRCCorner.y; + + ${this.computePositions?`var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;`:`var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + uniforms.dilations.x) { + let xR = xRCorner + wR; + + if (xR < 0 || xR >= uniforms.convDims.x) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + uniforms.dilations.y) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.y) { + continue; + } + + let value = getX(batch, xR, xC, d); + ${e} + } + } + + ${this.computePositions?"setOutputAtIndexI32(index, maxPosition);":`setOutputAtIndex(index, ${t});`} + } + } + `}},wu=class{constructor(e,t,o=!1,n=!1,s=!1){if(this.variableNames=["x"],this.uniforms="strides : vec3, pads : vec3, convDims : vec3, filterDims : vec3,",this.workgroupSize=[128,1,1],this.size=!0,t==="avg"&&o)throw new Error("Cannot compute positions for average pool.");this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.poolType=t,this.computePositions=o,this.flattenPositions=n,this.includeBatchIndex=s,this.shaderKey=`pool3D_${t}_${o}_${n}_${s}`}getUserCode(){let e;this.poolType==="avg"?e="resultValue += value; count += 1.0;":this.computePositions?e=`let currMaxValue = mix(value, maxValue, maxValueFound); + if (value >= currMaxValue) { + maxValue = value; + maxValueFound = 1.0; + maxPosition = ${this.flattenPositions?this.includeBatchIndex?"(((batch * uniforms.xShape.y + xD) * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch":"((xD * uniforms.xShape.z + xR) * uniforms.xShape.w + xC) * uniforms.xShape.u + ch":"wD * uniforms.filterDims.y * uniforms.filterDims.y + wR * uniforms.filterDims.z + wC"}; + }`:e="resultValue = max(value, resultValue);";let t="resultValue";return this.poolType==="avg"&&(t="resultValue / max(count, 1.0)"),` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let xCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xDCorner = xCorner.x; + let xRCorner = xCorner.y; + let xCCorner = xCorner.z; + + ${this.computePositions?`var maxValue = 0.0; + var maxValueFound = 0.0; + var maxPosition = 0;`:`var resultValue = ${this.poolType==="avg"?"0.0":"-1.0 / pow(10.0, -20.0)"};`} + + var count = 0.0; + for (var wD = 0; wD < uniforms.filterDims.x; wD++) { + let xD = xDCorner + wD; + if (xD < 0 || xD >= uniforms.convDims.x) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims.y; wR++) { + let xR = xRCorner + wR; + if (xR < 0 || xR >= uniforms.convDims.y) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims.z; wC++) { + let xC = xCCorner + wC; + if (xC < 0 || xC >= uniforms.convDims.z) { + continue; + } + + let value = getX(batch, xD, xR, xC, ch); + ${e} + } + } + } + + ${this.computePositions?"setOutputAtIndexI32(index, maxPosition);":`setOutputAtIndex(index, ${t});`} + } + } + `}};function Ov(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{reductionIndices:s,keepDims:a}=o;return Yr(n,s,a,"max",t)}var wz={kernelName:Ln,backendName:"webgpu",kernelFunc:Ov};function Mv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{keepDims:s,axis:a}=o;return Yr(n,a,s,"mean",t)}var Sz={kernelName:Vn,backendName:"webgpu",kernelFunc:Mv};function ox(r,e,t,o){if(e.filterWidth===1&&e.filterHeight===1&&y.arraysEqual(e.inShape,e.outShape))return At({inputs:{x:r},backend:o});if(e.filterWidth===e.inWidth&&e.filterHeight===e.inHeight&&e.batchSize===1&&e.padInfo.type==="VALID"){let a=r.shape.length,i=pe({inputs:{x:r},backend:o,attrs:{shape:[r.shape[a-3]*r.shape[a-2],r.shape[a-1]]}}),p;t==="avg"?p=Mv({inputs:{x:i},backend:o,attrs:{axis:0,keepDims:!1}}):(y.assert(t==="max",()=>`Invalid pool type ${t}`),p=Ov({inputs:{x:i},backend:o,attrs:{reductionIndices:0,keepDims:!1}}));let u=pe({inputs:{x:p},backend:o,attrs:{shape:e.outShape}});return o.disposeData(i.dataId),o.disposeData(p.dataId),u}let n,s=[{type:"int32",data:[e.strideHeight,e.strideWidth]}];return e.filterHeight===1&&e.filterWidth===1?n=new rx(e):(t==="avg"?n=new Da(e,"avg"):(y.assert(t==="max",()=>`Invalid pool type ${t}`),n=new Da(e,"max")),s.push({type:"int32",data:[e.padInfo.top,e.padInfo.left]},{type:"int32",data:[e.dilationHeight,e.dilationWidth]},{type:"int32",data:[e.inHeight,e.inWidth]},{type:"int32",data:[e.effectiveFilterHeight,e.effectiveFilterWidth]})),o.runWebGPUProgram(n,[r],r.dtype,s)}function hie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=C.computePool2DInfo(n.shape,s,a,u,i,p);return ox(n,c,"avg",t)}var Iz={kernelName:Yo,backendName:"webgpu",kernelFunc:hie};function gie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new wu(l,"avg"),d=[{type:"int32",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:"int32",data:[l.padInfo.front,l.padInfo.top,l.padInfo.left]},{type:"int32",data:[l.inDepth,l.inHeight,l.inWidth]},{type:"int32",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]}];return t.runWebGPUProgram(m,[n],n.dtype,d)}var vz={kernelName:qs,backendName:"webgpu",kernelFunc:gie};var nx=class{constructor(e){this.variableNames=["dy"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avgPool2DBackprop"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -6101,16 +6200,16 @@ return a / b;`,M7=` // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; - for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilation[0]) { - let dyR = f32(dyRCorner + wR) / f32(uniforms.stride[0]); + for (var wR = 0; wR < uniforms.filterDims[0]; wR = wR + uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { continue; } let idyR = i32(dyR); - for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilation[1]) { - let dyC = f32(dyCCorner + wC) / f32(uniforms.stride[1]); + for (var wC = 0; wC < uniforms.filterDims[1]; wC = wC + uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { continue; @@ -6125,8 +6224,57 @@ return a / b;`,M7=` setOutputAtIndex(index, dotProd); } } - `}};function toe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;fI([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=S.computePool2DInfo(a.shape,i,p,1,u),l=new Wg(c),m=1/(c.filterHeight*c.filterWidth),d=[{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.effectiveFilterHeight-1-c.padInfo.top,c.effectiveFilterWidth-1-c.padInfo.left]},{type:"int32",data:[c.dilationHeight,c.dilationWidth]},{type:"int32",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]},{type:"int32",data:[c.outHeight]},{type:"int32",data:[c.outWidth]},{type:"float32",data:[m]}];return t.runWebGPUProgram(l,[n],a.dtype,d)}var GM={kernelName:mp,backendName:"webgpu",kernelFunc:toe};function roe(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return Xu({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var HM={kernelName:zo,backendName:"webgpu",kernelFunc:roe};var Ug=class{constructor(e,t){this.variableNames=["source"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${Rt(e.length)}, `,this.shaderKey="slice"}getUserCode(){let e=Rt(this.rank),t=ooe(this.rank),o;return this.start.length===1?o=this.outputShape.map((s,a)=>"sourceLoc = uniforms.start + coords;"):o=this.outputShape.map((s,a)=>`sourceLoc.${bI[a]} = uniforms.start.${Ao(a)} + coords.${bI[a]};`),` - ${Q("index")} { + `}},sx=class{constructor(e){this.variableNames=["dy"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, avgMultiplier : f32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="avgPool3DBackprop"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + dotProd += dyValue * uniforms.avgMultiplier; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function xie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=C.computePool3DInfo(a.shape,i,p,1,u,c),m=new sx(l),d=1/(l.filterDepth*l.filterHeight*l.filterWidth),f=[{type:"int32",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:"int32",data:[l.effectiveFilterDepth-1-l.padInfo.front,l.effectiveFilterHeight-1-l.padInfo.top,l.effectiveFilterWidth-1-l.padInfo.left]},{type:"int32",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]},{type:"int32",data:[l.outDepth]},{type:"int32",data:[l.outHeight]},{type:"int32",data:[l.outWidth]},{type:"float32",data:[d]}];return t.runWebGPUProgram(m,[n],a.dtype,f)}var kz={kernelName:Ni,backendName:"webgpu",kernelFunc:xie};function yie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s;cm([n,s],"avgPoolGrad");let{filterSize:i,strides:p,pad:u}=o,c=C.computePool2DInfo(a.shape,i,p,1,u),l=new nx(c),m=1/(c.filterHeight*c.filterWidth),d=[{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.effectiveFilterHeight-1-c.padInfo.top,c.effectiveFilterWidth-1-c.padInfo.left]},{type:"int32",data:[c.dilationHeight,c.dilationWidth]},{type:"int32",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]},{type:"int32",data:[c.outHeight]},{type:"int32",data:[c.outWidth]},{type:"float32",data:[m]}];return t.runWebGPUProgram(l,[n],a.dtype,d)}var Nz={kernelName:Gp,backendName:"webgpu",kernelFunc:yie};function bie(r){let{inputs:e,backend:t,attrs:o}=r,{a:n,b:s}=e,{transposeA:a,transposeB:i}=o;return $p({a:n,b:s,transposeA:a,transposeB:i,backend:t})}var Tz={kernelName:Qo,backendName:"webgpu",kernelFunc:bie};var ax=class{constructor(e,t){this.variableNames=["source"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.rank=t.length,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.start=e,this.uniforms=`start : ${Nt(e.length)}, `,this.shaderKey="slice"}getUserCode(){let e=Nt(this.rank),t=Cie(this.rank),o;return this.start.length===1?o=this.outputShape.map((s,a)=>"sourceLoc = uniforms.start + coords;"):o=this.outputShape.map((s,a)=>`sourceLoc.${Lv[a]} = uniforms.start.${Po(a)} + coords.${Lv[a]};`),` + ${K("index")} { if (index < uniforms.size) { var sourceLoc : ${e}; let coords = getCoordsFromIndex(index); @@ -6135,17 +6283,17 @@ return a / b;`,M7=` setOutputAtIndex(index, getSource(${t})); } } - `}},bI=["x","y","z","w","u","v"];function ooe(r){if(r===1)return"sourceLoc";if(r<=6)return bI.slice(0,r).map(e=>`sourceLoc.${e}`).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}function fs(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ut.parseSliceParams(n,s,a);if(ut.assertParamsValid(n,i,p),t.shouldExecuteOnCPU([n])||n.dtype==="string"){let l=t.tensorMap.get(n.dataId),m=bM(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}if(y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);let u=new Ug(i,p),c=[{type:"int32",data:i}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var KM={kernelName:Es,backendName:"webgpu",kernelFunc:fs};var noe=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet");let i=s.reduce((b,C)=>b*C),p=S.getReshaped(n.shape,s,i),u=S.getPermuted(p.length,s.length),c=S.getReshapedPermuted(n.shape,s,i),l=S.getSliceBeginCoords(a,s.length),m=S.getSliceSize(c,a,s.length),d=[],f=me({inputs:{x:n},backend:t,attrs:{shape:p}}),h=Nr({inputs:{x:f},backend:t,attrs:{perm:u}}),g=me({inputs:{x:h},backend:t,attrs:{shape:c}}),x=fs({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeData(b.dataId)),x},qM={kernelName:bs,backendName:"webgpu",kernelFunc:noe};var soe=` + `}},Lv=["x","y","z","w","u","v"];function Cie(r){if(r===1)return"sourceLoc";if(r<=6)return Lv.slice(0,r).map(e=>`sourceLoc.${e}`).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}function zs(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,size:a}=o,[i,p]=ct.parseSliceParams(n,s,a);if(ct.assertParamsValid(n,i,p),t.shouldExecuteOnCPU([n])||n.dtype==="string"){let l=t.tensorMap.get(n.dataId),m=JB(l.values,i,p,n.shape,n.dtype);return t.makeTensorInfo(p,n.dtype,m)}if(y.sizeFromShape(p)===0)return t.makeTensorInfo(p,n.dtype,[]);let u=new ax(i,p),c=[{type:"int32",data:i}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var _z={kernelName:pa,backendName:"webgpu",kernelFunc:zs};var wie=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,crops:a}=o;y.assert(n.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGPU backend not implemented yet");let i=s.reduce((b,w)=>b*w),p=C.getReshaped(n.shape,s,i),u=C.getPermuted(p.length,s.length),c=C.getReshapedPermuted(n.shape,s,i),l=C.getSliceBeginCoords(a,s.length),m=C.getSliceSize(c,a,s.length),d=[],f=pe({inputs:{x:n},backend:t,attrs:{shape:p}}),h=rr({inputs:{x:f},backend:t,attrs:{perm:u}}),g=pe({inputs:{x:h},backend:t,attrs:{shape:c}}),x=zs({inputs:{x:g},backend:t,attrs:{begin:l,size:m}});return d.push(f),d.push(h),d.push(g),d.forEach(b=>t.disposeData(b.dataId)),x},$z={kernelName:js,backendName:"webgpu",kernelFunc:wie};var Sie=` fn bincount_write(index: i32, value: f32) { - ${Ic("&result[index]","value","float32")} + ${Bs("&result[index]","value","float32")} } -`,aoe=` +`,Iie=` fn bincount_write(index: i32, value: f32) { atomicStore(&result[index], bitcast(value)); } -`,Tc=class{constructor(e,t,o=!1){this.outputShape=[],this.variableNames=["x"],this.uniforms="binCountSize : i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=o,o&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push("w"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return` - ${this.binaryOutput?aoe:soe} - ${Q("index")} { +`,jc=class{constructor(e,t,o=!1){this.outputShape=[],this.variableNames=["x"],this.uniforms="binCountSize : i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.hasWeights=!0,this.binaryOutput=!1,this.outputShape=e,this.rank=e.length,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.binaryOutput=o,o&&(this.atomic=!1),this.hasWeights=t,this.hasWeights&&this.variableNames.push("w"),this.shaderKey=`bincount_${this.hasWeights}_${this.binaryOutput}_${this.rank}`}getUserCode(){return` + ${this.binaryOutput?Iie:Sie} + ${K("index")} { ${this.rank===1?`if (index < uniforms.xShape) { let indexVal = i32(getX(index)); if (indexVal < uniforms.binCountSize) { @@ -6161,8 +6309,33 @@ return a / b;`,M7=` } }`} } - `}};function ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=y.sizeFromShape(n.shape),u=y.sizeFromShape(s.shape)>0,c=[a],l=s.dtype,m=fr({backend:t,attrs:{shape:c,value:0,dtype:l}}),d=new Tc([i],u),f=[{type:"int32",data:[a]}],h=u?[n,s]:[n];return t.runWebGPUProgram(d,h,l,f,m)}var jM={kernelName:ti,backendName:"webgpu",kernelFunc:ioe};var CI=Ze({opType:ge.NOT_EQUAL,dtype:"bool",cpuKernelImpl:dM}),XM={kernelName:Nn,backendName:"webgpu",kernelFunc:CI};function Xa(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.tensorMap.get(o.dataId);return Dt({inputs:{x:n.complexTensorInfos.real},backend:t})}var YM={kernelName:di,backendName:"webgpu",kernelFunc:Xa};function QM(r,e){let t=new Hr(r.shape,X.TO_INT),o=e.runWebGPUProgram(t,[r],"int32");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function SI(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return Dt({inputs:{x:n},backend:t});let a=Br(n.shape),i=SI({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),p=po({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeData(i.dataId),p}if(n.dtype==="complex64"){let a=Xa({inputs:{input:n},backend:t}),i=SI({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeData(a.dataId),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=Dt({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.tensorMap.get(n.dataId).values,[i,p,u]=j3(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s==="int32")return QM(n,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),p=CI({inputs:{a:n,b:a},backend:t});return t.disposeData(a.dataId),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var ZM={kernelName:co,backendName:"webgpu",kernelFunc:SI};var uoe=xe({opType:X.CEIL,cpuKernelImpl:X3}),JM={kernelName:Wo,backendName:"webgpu",kernelFunc:uoe};var Gg=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workPerThread=4,this.workgroupSize=[64,1,1],this.isVec4=!0,this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="clipVec4"}getUserCode(){return` - ${Q("index")} { + `}};function vie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a}=o,i=y.sizeFromShape(n.shape),u=y.sizeFromShape(s.shape)>0,c=[a],l=s.dtype,m=Vt({backend:t,attrs:{shape:c,value:0,dtype:l}}),d=new jc([i],u),f=[{type:"int32",data:[a]}],h=u?[n,s]:[n];return t.runWebGPUProgram(d,h,l,f,m)}var Ez={kernelName:Zo,backendName:"webgpu",kernelFunc:vie};var ix=class{constructor(e){this.outputShape=[],this.variableNames=["s0","s1"],this.uniforms="s0Size : i32, s1Size : i32, ",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="broadcastArgs"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + var s0 = 1.0; + var s1 = 1.0; + let indexS0 = index - uniforms.size + uniforms.s0Size; + let indexS1 = index - uniforms.size + uniforms.s1Size; + if (indexS0 >= 0) { + s0 = getS0(indexS0); + } + if (indexS1 >= 0) { + s1 = getS1(indexS1); + } + + if (s0 == 1.0) { + setOutputAtIndex(index, s1); + } else if (s1 == 1.0) { + setOutputAtIndex(index, s0); + } else if (s0 != s1) { + setOutputAtIndex(index, uniforms.NAN); + } else { + setOutputAtIndex(index, s0); + } + } + } + `}};function kie(r){let{inputs:e,backend:t}=r,{s0:o,s1:n}=e;if(t.shouldExecuteOnCPU([o,n])){let c=t.tensorMap.get(o.dataId),l=t.tensorMap.get(n.dataId),m=c.values,d=l.values,f=C.assertAndGetBroadcastShape(Array.from(m),Array.from(d));return t.makeTensorInfo([f.length],"int32",Int32Array.from(f))}let s=y.sizeFromShape(o.shape),a=y.sizeFromShape(n.shape),i=Math.max(s,a),p=new ix(i),u=[{type:"int32",data:[s]},{type:"int32",data:[a]}];return t.runWebGPUProgram(p,[o,n],"int32",u)}var Rz={kernelName:Xs,backendName:"webgpu",kernelFunc:kie};var Bv=et({opType:fe.NOT_EQUAL,dtype:"bool",cpuKernelImpl:qB}),Dz={kernelName:qn,backendName:"webgpu",kernelFunc:Bv};function Ci(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.tensorMap.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.real},backend:t})}var Az={kernelName:zi,backendName:"webgpu",kernelFunc:Ci};function Fz(r,e){let t=new Xr(r.shape,Q.TO_INT),o=e.runWebGPUProgram(t,[r],"int32");return{dataId:o.dataId,shape:o.shape,dtype:o.dtype}}function zv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dtype:s}=o;if(s==="complex64"){if(n.dtype==="complex64")return At({inputs:{x:n},backend:t});let a=Wr(n.shape),i=zv({inputs:{x:n},backend:t,attrs:{dtype:"float32"}}),p=fo({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeData(i.dataId),p}if(n.dtype==="complex64"){let a=Ci({inputs:{input:n},backend:t}),i=zv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeData(a.dataId),i}if(!y.hasEncodingLoss(n.dtype,s)){let a=At({inputs:{x:n},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(t.shouldExecuteOnCPU([n])){let a=t.tensorMap.get(n.dataId).values,[i,p,u]=TB(a,n.shape,n.dtype,s);return t.makeTensorInfo(i,p,u)}if(s==="int32")return Fz(n,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),p=Bv({inputs:{a:n,b:a},backend:t});return t.disposeData(a.dataId),p}throw new Error(`Error in Cast: failed to cast ${n.dtype} to ${s}`)}var Pz={kernelName:ho,backendName:"webgpu",kernelFunc:zv};var Nie=xe({opType:Q.CEIL,cpuKernelImpl:_B}),Oz={kernelName:Jo,backendName:"webgpu",kernelFunc:Nie};var ux=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workPerThread=4,this.workgroupSize=[64,1,1],this.outputComponent=4,this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.shaderKey="clipVec4"}getUserCode(){return` + ${K("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); var clampedValue = clamp( @@ -6171,8 +6344,8 @@ return a / b;`,M7=` setOutputAtIndex(index, clampedValue); } } - `}};var Hg=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="clip"}getUserCode(){return` - ${Q("index")} { + `}};var px=class{constructor(e){this.variableNames=["A"],this.uniforms="minVal : f32, maxVal : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="clip"}getUserCode(){return` + ${K("index")} { if(index < uniforms.size) { let value = getAByOutputIndex(index); if (isnan(value)) { @@ -6182,8 +6355,20 @@ return a / b;`,M7=` setOutputAtIndex(index, clamp(value, uniforms.minVal, uniforms.maxVal)); } } - `}};function poe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{clipValueMin:s,clipValueMax:a}=o,i,p=[{type:"float32",data:[s]},{type:"float32",data:[a]}];return y.sizeFromShape(n.shape)%4===0?i=new Gg(n.shape):i=new Hg(n.shape),t.runWebGPUProgram(i,[n],n.dtype,p)}var eL={kernelName:lo,backendName:"webgpu",kernelFunc:poe};var Kg=class{constructor(e){this.uniforms="",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=S.computeOutShape(e,1),this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push("if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }");for(let s=1;s(1, min(re, im)/mx)), 0.0, mx == 0.0)); + } + } + `}};function Lz(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function _ie(r){let{inputs:e,backend:t}=r,{x:o}=e,n=t.tensorMap.get(o.dataId),s=new cx(o.shape),a=[Lz(o,n.complexTensorInfos.real),Lz(o,n.complexTensorInfos.imag)];return t.runWebGPUProgram(s,a,a[0].dtype)}var Bz={kernelName:_i,backendName:"webgpu",kernelFunc:_ie};var lx=class{constructor(e){this.uniforms="",this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=C.computeOutShape(e,1),this.variableNames=e.map((t,o)=>`T${o}`),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]),this.offsetLength=e.length-1;for(let t=0;t0){e.push("if (yC < uniforms.offset0){ setOutputAtCoords(coords.x, coords.y, getT0(yR, yC)); }");for(let s=1;sXa({inputs:{input:C},backend:t})),h=r.map(C=>Qu({inputs:{input:C},backend:t})),g=_c(f,e,t),x=_c(h,e,t),b=po({inputs:{real:g,imag:x},backend:t});return f.forEach(C=>t.disposeData(C.dataId)),h.forEach(C=>t.disposeData(C.dataId)),t.disposeData(g.dataId),t.disposeData(x.dataId),b}let n=t.shouldExecuteOnCPU(r);if(o==="string"&&(n=!0),n){let f=r.map(k=>{let E=[-1,y.sizeFromShape(k.shape.slice(e))];return me({inputs:{x:k},backend:t,attrs:{shape:E}})}),h=f.map(k=>({vals:t.readSync(k.dataId),shape:k.shape})),g=S.computeOutShape(f.map(k=>k.shape),1),x=f[0].shape[0]===1,b=Y3(h,g,o,x),C=S.computeOutShape(r.map(k=>k.shape),e),w=t.makeTensorInfo(C,o,b);return f.forEach(k=>t.disposeData(k.dataId)),w}let s=t.device.limits.maxStorageBuffersPerShaderStage-1;if(r.length>s){let f=[];for(let g=0;gf.shape),u=new Kg(p),c=[],l=new Array(p.length-1);if(l.length>0){l[0]=p[0][1],c.push({type:"int32",data:[l[0]]});for(let f=1;ft.disposeData(f.dataId));let d=me({inputs:{x:m},backend:t,attrs:{shape:i}});return t.disposeData(m.dataId),d}function coe(r,e,t){let o=S.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>me({inputs:{x:s},backend:t,attrs:{shape:[y.sizeFromShape(s.shape.slice(0,e)),y.sizeFromShape(s.shape.slice(e))]}})),outShape:o}}function wI(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);S.assertParamsConsistent(a,s);let i=S.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?Dt({inputs:{x:p[0]},backend:t}):_c(p,s,t)}var rL={kernelName:Cs,backendName:"webgpu",kernelFunc:wI};function loe(r,e,t,o,n=!1,s=null,a=!1,i=4,p=4,u=4){let c=R=>{switch(R){case 1:return"resData = x[xIndex];";case 3:return"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);";case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${R} is not supported.`)}},l=R=>{switch(R){case 1:return"return W[row * uniforms.wShape[3] + colIn];";case 4:return"return W[row * uniforms.wShape[3] / 4 + colIn];";default:throw new Error(`innerElementSize ${R} is not supported.`)}},m=r?` + `}};function Ep(r){let{inputs:e,backend:t}=r,{input:o}=e,n=t.tensorMap.get(o.dataId);return At({inputs:{x:n.complexTensorInfos.imag},backend:t})}var zz={kernelName:Mi,backendName:"webgpu",kernelFunc:Ep};function Xc(r,e,t){let o=r[0].dtype;if(o==="complex64"){let f=r.map(w=>Ci({inputs:{input:w},backend:t})),h=r.map(w=>Ep({inputs:{input:w},backend:t})),g=Xc(f,e,t),x=Xc(h,e,t),b=fo({inputs:{real:g,imag:x},backend:t});return f.forEach(w=>t.disposeData(w.dataId)),h.forEach(w=>t.disposeData(w.dataId)),t.disposeData(g.dataId),t.disposeData(x.dataId),b}let n=t.shouldExecuteOnCPU(r);if(o==="string"&&(n=!0),n){let f=r.map(k=>{let E=[-1,y.sizeFromShape(k.shape.slice(e))];return pe({inputs:{x:k},backend:t,attrs:{shape:E}})}),h=f.map(k=>({vals:t.readSync(k.dataId),shape:k.shape})),g=C.computeOutShape(f.map(k=>k.shape),1),x=f[0].shape[0]===1,b=$B(h,g,o,x),w=C.computeOutShape(r.map(k=>k.shape),e),S=t.makeTensorInfo(w,o,b);return f.forEach(k=>t.disposeData(k.dataId)),S}let s=t.device.limits.maxStorageBuffersPerShaderStage-1;if(r.length>s){let f=[];for(let g=0;gf.shape),u=new lx(p),c=[],l=new Array(p.length-1);if(l.length>0){l[0]=p[0][1],c.push({type:"int32",data:[l[0]]});for(let f=1;ft.disposeData(f.dataId));let d=pe({inputs:{x:m},backend:t,attrs:{shape:i}});return t.disposeData(m.dataId),d}function $ie(r,e,t){let o=C.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>pe({inputs:{x:s},backend:t,attrs:{shape:[y.sizeFromShape(s.shape.slice(0,e)),y.sizeFromShape(s.shape.slice(e))]}})),outShape:o}}function Vv(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o,s=y.parseAxisParam(n,e[0].shape)[0],a=e.map(u=>u.shape);C.assertParamsConsistent(a,s);let i=C.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(i)===0)return t.makeTensorInfo(i,e[0].dtype,[]);let p=e.filter(u=>y.sizeFromShape(u.shape)>0);return p.length===1?At({inputs:{x:p[0]},backend:t}):Xc(p,s,t)}var Vz={kernelName:Ys,backendName:"webgpu",kernelFunc:Vv};function Eie(r,e,t,o,n=!1,s=null,a=!1,i=4,p=4,u=4){let c=D=>{switch(D){case 1:return"resData = x[xIndex];";case 3:return"resData = vec3(x[xIndex], x[xIndex + 1], x[xIndex + 2]);";case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${D} is not supported.`)}},l=D=>{switch(D){case 1:return"return W[row * uniforms.wShape[3] + colIn];";case 4:return"return W[row * uniforms.wShape[3] / 4 + colIn];";default:throw new Error(`innerElementSize ${D} is not supported.`)}},m=r?` let coord = vec4(batch, xRow, xCol, xCh); `:` let coord = vec4(batch, xCh, xRow, xCol); @@ -6220,10 +6405,10 @@ return a / b;`,M7=` let WRow = ${x} / (uniforms.filterDims[1] * inChannels); let WCol = ${x} / inChannels % uniforms.filterDims[1]; - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * WRow - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * WCol - uniforms.pads[1]; let xCh = ${x} % inChannels; - var resData = ${kt(i)}(0.0); + var resData = ${Ae(i)}(0.0); // The bounds checking is always needed since we use it to pad zero for // the 'same' padding type. if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${h}) { @@ -6231,28 +6416,28 @@ return a / b;`,M7=` let xIndex = getIndexFromCoords4D(coord, uniforms.xShape); ${c(i)} } - return resData;`,C=r?e&&o?` + return resData;`,w=r?e&&o?` let col = colIn * ${i}; ${b}`:` let col = colIn * ${i}; if (row < uniforms.dimAOuter && col < uniforms.dimInner) { ${b} } - return ${kt(i)}(0.0);`:o&&t?` + return ${Ae(i)}(0.0);`:o&&t?` let col = colIn * ${i}; ${b}`:` let col = colIn * ${i}; if (row < uniforms.dimInner && col < uniforms.dimBOuter) { ${b} } - return ${kt(i)}(0.0);`,w=`${l(p)}`,k=kt(u),_=r?kt(i):kt(p),E=r?kt(p):kt(i);return` - ${pr(s,a,u===4,4)} + return ${Ae(i)}(0.0);`,S=`${l(p)}`,k=Ae(u),_=r?Ae(i):Ae(p),E=r?Ae(p):Ae(i);return` + ${dr(s,a,u===4,4)} fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${_} { - ${r?C:w} + ${r?w:S} } fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} { - ${r?w:C} + ${r?S:w} } fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${k}) { @@ -6262,14 +6447,14 @@ return a / b;`,M7=` var value = valueIn; let outWidth = ${r?"uniforms.outShape[2]":"uniforms.outShape[3]"}; ${d} - ${Gr(n,s)} + ${jr(n,s)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } - }`}var qg=class{constructor(e,t,o,n,s=!1,a=null,i=!1,p=!1){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pad : vec2, stride : vec2, dilation : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=Bl(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Vl(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableTypes=["f32","vec4"]):(this.innerElementSize=4,this.variableTypes=["vec4","vec4"]),s&&(this.variableNames.push("bias"),this.variableTypes.push("vec4")),i&&(this.variableNames.push("preluActivationWeights"),this.variableTypes.push("vec4"))):(this.innerElementSize=this.elementsPerThread[0],s&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights")),this.sequentialAccessByThreads=p,this.addBias=s,this.activation=a,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=o%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?qu(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):ju(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return` - ${loe(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])} + }`}var mx=class{constructor(e,t,o,n,s=!1,a=null,i=!1,p=!1){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, dilations : vec2, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=((e.inChannels%4===0||e.inChannels%3===0)&&this.isChannelsLast||e.outWidth%4===0&&!this.isChannelsLast)&&e.outChannels%4===0,this.dispatchLayout=this.isChannelsLast?{x:[3],y:[1,2],z:[0]}:{x:[2,3],y:[1],z:[0]},this.workgroupSize=im(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=um(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4?(this.outputComponent=4,this.isChannelsLast&&e.inChannels%4!==0?(this.innerElementSize=3,this.variableComponents=[1,4]):(this.innerElementSize=4,this.variableComponents=[4,4]),s&&(this.variableNames.push("bias"),this.variableComponents.push(4)),i&&(this.variableNames.push("preluActivationWeights"),this.variableComponents.push(4))):(this.innerElementSize=this.elementsPerThread[0],s&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights")),this.sequentialAccessByThreads=p,this.addBias=s,this.activation=a,this.hasPreluActivationWeights=i,this.tileAOuter=this.workgroupSize[1]*this.elementsPerThread[1],this.tileBOuter=this.workgroupSize[0]*this.elementsPerThread[0],this.tileInner=Math.max(this.workgroupSize[0]*this.innerElementSize,this.workgroupSize[1]),this.fitAOuter=t%this.tileAOuter===0,this.fitBOuter=o%this.tileBOuter===0,this.fitInner=n%this.tileInner===0,this.shaderKey=`conv2DMM_${this.elementsPerThread}_${this.activation}}_${this.fitAOuter}_${this.fitBOuter}_${this.fitInner}_${this.isVec4}_${this.innerElementSize}_${this.isChannelsLast}_${this.sequentialAccessByThreads}`}getUserCode(){let e=this.isVec4?Tp(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner):_p(this.elementsPerThread,this.workgroupSize,!this.isChannelsLast,this.tileInner,!1,null,this.sequentialAccessByThreads),t=this.isVec4?[this.innerElementSize,4,4]:[1,1,1];return` + ${Eie(this.isChannelsLast,this.fitAOuter,this.fitBOuter,this.fitInner,this.addBias,this.activation,this.hasPreluActivationWeights,t[0],t[1],t[2])} ${e} - `}};var jg=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms="filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2,",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=o,this.hasPreluActivationWeights=n,t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return` - ${pr(this.activation,this.hasPreluActivationWeights,!1,4)} + `}};var dx=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2,",this.workgroupSize=[4,4,8],this.outputShape=e.outShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.dispatchLayout=this.isChannelsLast?{x:[2],y:[1],z:[0,3]}:{x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.addBias=t,this.activation=o,this.hasPreluActivationWeights=n,t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.shaderKey=`conv2dnaive_${this.activation}_${this.isChannelsLast}`}getUserCode(){return` + ${dr(this.activation,this.hasPreluActivationWeights,!1,4)} fn readInp(batch : i32, row : i32, col : i32, chan : i32) -> f32{ let coords = vec4(batch, row, col, chan); if (coordsInBounds4D(coords, uniforms.xShape)) { @@ -6290,11 +6475,11 @@ return a / b;`,M7=` let coords = ${this.isChannelsLast?"vec4(batch, row, col, chan);":"vec4(batch, chan, row, col);"} if (coordsInBounds4D(coords, uniforms.outShape)) { var value = valueIn; - ${Gr(this.addBias,this.activation)} + ${jr(this.addBias,this.activation)} setOutputAtCoords(coords.x, coords.y, coords.z, coords.w, value); } } - ${Q("index")} { + ${K("index")} { let coords = getOutputCoords(); let batch = coords[0]; let outChannel = ${this.isChannelsLast?"coords[3];":"coords[1];"} @@ -6303,8 +6488,8 @@ return a / b;`,M7=` var acc : f32 = 0.0; for (var row = 0; row < uniforms.filterDims[0]; row = row + 1) { for (var col = 0; col < uniforms.filterDims[1]; col = col + 1) { - let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * row - uniforms.pad[0]; - let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * col - uniforms.pad[1]; + let xRow = outRow * uniforms.strides[0] + uniforms.dilations[0] * row - uniforms.pads[0]; + let xCol = outCol * uniforms.strides[1] + uniforms.dilations[1] * col - uniforms.pads[1]; for (var xChannel = 0; xChannel < ${this.isChannelsLast?"uniforms.xShape[3];":"uniforms.xShape[1];"} xChannel = xChannel + 1) { ${this.isChannelsLast?"let v = readInp(batch, xRow, xCol, xChannel);":"let v = readInp(batch, xChannel, xRow, xCol);"} let f = readFilt(row, col, xChannel, outChannel); @@ -6314,21 +6499,21 @@ return a / b;`,M7=` } writeResult(batch, outRow, outCol, outChannel, acc); } - `}};var Xg=class{constructor(e,t){this.variableNames=["x"],this.uniforms=`pad : vec2, stride : vec2, dilation : vec2, outWidth : i32, itemsPerBlockRow : i32, - inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?"coords[1]":"coords[2]",n=this.isChannelsLast?"coords[2]":"coords[1]",s=this.isChannelsLast?"getX(batch, xRow, xCol, ch)":"getX(batch, ch, xRow, xCol)";return` - ${Q("index")} { + `}};var fx=class{constructor(e,t){this.variableNames=["x"],this.uniforms=`pads : vec2, strides : vec2, dilations : vec2, outWidth : i32, itemsPerBlockRow : i32, + inChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=t,this.shaderKey=`im2col_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?"coords[1]":"coords[2]",n=this.isChannelsLast?"coords[2]":"coords[1]",s=this.isChannelsLast?"getX(batch, xRow, xCol, ch)":"getX(batch, ch, xRow, xCol)";return` + ${K("index")} { let coords = getCoordsFromIndex(index); if(index < uniforms.size) { let batch = coords[0]; let row = ${o}; let col = ${n}; - let offsetY = (row / uniforms.outWidth) * uniforms.stride[0] - uniforms.pad[0]; - let xRow = offsetY + uniforms.dilation[0] * (col / uniforms.itemsPerBlockRow); + let offsetY = (row / uniforms.outWidth) * uniforms.strides[0] - uniforms.pads[0]; + let xRow = offsetY + uniforms.dilations[0] * (col / uniforms.itemsPerBlockRow); var value = 0.0; if(xRow < uniforms.xShape[${e}] && xRow >= 0) { - let offsetX = (row % uniforms.outWidth) * uniforms.stride[1] - - uniforms.pad[1]; - let xCol = offsetX + uniforms.dilation[1] * ((col % + let offsetX = (row % uniforms.outWidth) * uniforms.strides[1] - + uniforms.pads[1]; + let xCol = offsetX + uniforms.dilations[1] * ((col % uniforms.itemsPerBlockRow) / uniforms.inChannels); let ch = col % uniforms.inChannels; if(xCol < uniforms.xShape[${t}] && xCol >= 0) { @@ -6338,8 +6523,109 @@ return a / b;`,M7=` setOutputAtIndex(index, value); } } - `}};function Yg(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function moe({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=t.dataFormat==="channelsLast",u=!p,c=!1,l=p&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type==="VALID",m=[],d,f;if(l){let x=t.inHeight*t.inWidth*t.inChannels;d=me({inputs:{x:r},backend:o,attrs:{shape:[1,t.batchSize,x]}}),f=me({inputs:{x:e},backend:o,attrs:{shape:[1,x,t.outChannels]}})}else d=me({inputs:{x:r},backend:o,attrs:{shape:p?[t.batchSize,t.inHeight*t.inWidth,t.inChannels]:[t.batchSize,t.inChannels,t.inHeight*t.inWidth]}}),f=me({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});if(m.push(d),m.push(f),s!=null){let x=Yg(s.shape,p);x!=null&&(s=me({inputs:{x:s},backend:o,attrs:{shape:x}}),m.push(s))}if(n!=null){let x=Yg(n.shape,p);x!=null&&(n=me({inputs:{x:n},backend:o,attrs:{shape:x}}),m.push(n))}let h=Xu({a:p?d:f,b:p?f:d,transposeA:u,transposeB:c,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),g=me({inputs:{x:h},backend:o,attrs:{shape:t.outShape}});m.push(h);for(let x of m)o.disposeData(x.dataId);return g}function doe({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,strideWidth:l,strideHeight:m,padInfo:d,outWidth:f,outHeight:h,dilationWidth:g,dilationHeight:x,dataFormat:b}=t,C=b==="channelsLast",w=p*u*c,k=h*f,_=C?[t.batchSize,k,w]:[t.batchSize,w,k],E=new Xg(_,C),A=[{type:"int32",data:[d.top,d.left]},{type:"int32",data:[m,l]},{type:"int32",data:[x,g]},{type:"int32",data:[f]},{type:"int32",data:[c*p]},{type:"int32",data:[c]}],R=o.runWebGPUProgram(E,[r],r.dtype,A),D=[];D.push(R);let P=me({inputs:{x:e},backend:o,attrs:{shape:[1,w,-1]}});if(D.push(P),s!=null){let U=Yg(s.shape,C);U!=null&&(s=me({inputs:{x:s},backend:o,attrs:{shape:U}}),D.push(s))}if(n!=null){let U=Yg(n.shape,C);U!=null&&(n=me({inputs:{x:n},backend:o,attrs:{shape:U}}),D.push(n))}let V=Xu({a:C?R:P,b:C?P:R,transposeA:!C,transposeB:!1,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),z=me({inputs:{x:V},backend:o,attrs:{shape:t.outShape}});D.push(V);for(let U of D)o.disposeData(U.dataId);return z}function Qg({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=n!=null,u=s!=null,c=t.dataFormat==="channelsLast",l=c&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type==="VALID",m=O().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG");if(!m&&(l||t.filterHeight===1&&t.filterWidth===1&&t.dilationHeight===1&&t.dilationWidth===1&&t.strideHeight===1&&t.strideWidth===1&&(t.padInfo.type==="SAME"||t.padInfo.type==="VALID")))return moe({x:r,filter:e,convInfo:t,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});let d=O().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),f=d>0?d:o.thresholdToIncreaseWorkgroups,h=t.batchSize*Math.ceil(t.outHeight*t.outWidth/32)*Math.ceil(t.outChannels/32);if(O().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER")||h<=f)return doe({x:r,filter:e,convInfo:t,backend:o,bias:n,preluActivationWeights:s,leakyreluAlpha:a,activation:i});let g,x=[t.padInfo.top,t.padInfo.left],b=[{type:"int32",data:[t.filterHeight,t.filterWidth]},{type:"int32",data:[...x]},{type:"int32",data:[t.strideHeight,t.strideWidth]},{type:"int32",data:[t.dilationHeight,t.dilationWidth]}];if(m)g=new jg(t,p,i,u);else{let _=c?t.outHeight*t.outWidth:t.outChannels,E=c?t.outChannels:t.outHeight*t.outWidth,A=t.filterHeight*t.filterWidth*t.inChannels;b.push({type:"int32",data:[_]},{type:"int32",data:[E]},{type:"int32",data:[A]});let R=o.adapterInfo.isIntel();g=new qg(t,_,E,A,p,i,u,R)}let C=[],w=[r,e];p&&(!c&&n.shape.length===1&&(n=me({inputs:{x:n},backend:o,attrs:{shape:[n.shape[0],1,1]}}),C.push(n)),w.push(n)),u&&(!c&&s.shape.length===1&&(s=me({inputs:{x:s},backend:o,attrs:{shape:[s.shape[0],1,1]}}),C.push(s)),w.push(s)),i==="leakyrelu"&&(b.push({type:"float32",data:[a]}),g.uniforms+=" alpha : f32,");let k=o.runWebGPUProgram(g,w,r.dtype,b);for(let _ of C)o.disposeData(_.dataId);return k}function foe(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=t,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l);return Qg({x:n,filter:s,convInfo:m,backend:o})}var oL={kernelName:Uo,backendName:"webgpu",kernelFunc:foe};var Zg=class{constructor(e){this.variableNames=["dy","W"],this.uniforms="filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerInput_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?3:1;return` - ${Q("index")} { + `}};function hx(r,e){let t=r.length;return t>=3?e?[...r.slice(0,-3),r[t-3]*r[t-2],r[t-1]]:[...r.slice(0,-3),r[t-3],r[t-2]*r[t-1]]:!e&&t===1&&r[0]>1?[r[0],1]:null}function Rie({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=t.dataFormat==="channelsLast",u=!p,c=!1,l=p&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type==="VALID",m=[],d,f;if(l){let x=t.inHeight*t.inWidth*t.inChannels;d=pe({inputs:{x:r},backend:o,attrs:{shape:[1,t.batchSize,x]}}),f=pe({inputs:{x:e},backend:o,attrs:{shape:[1,x,t.outChannels]}})}else d=pe({inputs:{x:r},backend:o,attrs:{shape:p?[t.batchSize,t.inHeight*t.inWidth,t.inChannels]:[t.batchSize,t.inChannels,t.inHeight*t.inWidth]}}),f=pe({inputs:{x:e},backend:o,attrs:{shape:[1,t.inChannels,t.outChannels]}});if(m.push(d),m.push(f),s!=null){let x=hx(s.shape,p);x!=null&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:x}}),m.push(s))}if(n!=null){let x=hx(n.shape,p);x!=null&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:x}}),m.push(n))}let h=$p({a:p?d:f,b:p?f:d,transposeA:u,transposeB:c,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),g=pe({inputs:{x:h},backend:o,attrs:{shape:t.outShape}});m.push(h);for(let x of m)o.disposeData(x.dataId);return g}function Die({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:p,filterHeight:u,inChannels:c,strideWidth:l,strideHeight:m,padInfo:d,outWidth:f,outHeight:h,dilationWidth:g,dilationHeight:x,dataFormat:b}=t,w=b==="channelsLast",S=p*u*c,k=h*f,_=w?[t.batchSize,k,S]:[t.batchSize,S,k],E=new fx(_,w),R=[{type:"int32",data:[d.top,d.left]},{type:"int32",data:[m,l]},{type:"int32",data:[x,g]},{type:"int32",data:[f]},{type:"int32",data:[c*p]},{type:"int32",data:[c]}],D=o.runWebGPUProgram(E,[r],r.dtype,R),F=[];F.push(D);let O=pe({inputs:{x:e},backend:o,attrs:{shape:[1,S,-1]}});if(F.push(O),s!=null){let U=hx(s.shape,w);U!=null&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:U}}),F.push(s))}if(n!=null){let U=hx(n.shape,w);U!=null&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:U}}),F.push(n))}let B=$p({a:w?D:O,b:w?O:D,transposeA:!w,transposeB:!1,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),z=pe({inputs:{x:B},backend:o,attrs:{shape:t.outShape}});F.push(B);for(let U of F)o.disposeData(U.dataId);return z}function gx({x:r,filter:e,convInfo:t,backend:o,bias:n=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let p=n!=null,u=s!=null,c=t.dataFormat==="channelsLast",l=c&&t.filterHeight===t.inHeight&&t.filterWidth===t.inWidth&&t.padInfo.type==="VALID",m=P().getBool("WEBGPU_USE_NAIVE_CONV2D_DEBUG");if(!m&&(l||t.filterHeight===1&&t.filterWidth===1&&t.dilationHeight===1&&t.dilationWidth===1&&t.strideHeight===1&&t.strideWidth===1&&(t.padInfo.type==="SAME"||t.padInfo.type==="VALID")))return Rie({x:r,filter:e,convInfo:t,backend:o,bias:n,activation:i,preluActivationWeights:s,leakyreluAlpha:a});let d=P().getNumber("WEBGPU_THRESHOLD_TO_INCREASE_WORKGROUPS_FOR_MATMUL"),f=d>0?d:o.thresholdToIncreaseWorkgroups,h=t.batchSize*Math.ceil(t.outHeight*t.outWidth/32)*Math.ceil(t.outChannels/32);if(P().getBool("WEBGPU_CONV_SEPARATE_IM2COL_SHADER")||h<=f)return Die({x:r,filter:e,convInfo:t,backend:o,bias:n,preluActivationWeights:s,leakyreluAlpha:a,activation:i});let g,x=[t.padInfo.top,t.padInfo.left],b=[{type:"int32",data:[t.filterHeight,t.filterWidth]},{type:"int32",data:[...x]},{type:"int32",data:[t.strideHeight,t.strideWidth]},{type:"int32",data:[t.dilationHeight,t.dilationWidth]}];if(m)g=new dx(t,p,i,u);else{let _=c?t.outHeight*t.outWidth:t.outChannels,E=c?t.outChannels:t.outHeight*t.outWidth,R=t.filterHeight*t.filterWidth*t.inChannels;b.push({type:"int32",data:[_]},{type:"int32",data:[E]},{type:"int32",data:[R]});let D=o.adapterInfo.isIntel();g=new mx(t,_,E,R,p,i,u,D)}let w=[],S=[r,e];p&&(!c&&n.shape.length===1&&(n=pe({inputs:{x:n},backend:o,attrs:{shape:[n.shape[0],1,1]}}),w.push(n)),S.push(n)),u&&(!c&&s.shape.length===1&&(s=pe({inputs:{x:s},backend:o,attrs:{shape:[s.shape[0],1,1]}}),w.push(s)),S.push(s)),i==="leakyrelu"&&(b.push({type:"float32",data:[a]}),g.uniforms+=" alpha : f32,");let k=o.runWebGPUProgram(g,S,r.dtype,b);for(let _ of w)o.disposeData(_.dataId);return k}function Aie(r){let{inputs:e,attrs:t,backend:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=t,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,s.shape,a,u,i,c,!1,l);return gx({x:n,filter:s,convInfo:m,backend:o})}var Wz={kernelName:en,backendName:"webgpu",kernelFunc:Aie};var xx=class{constructor(e){this.variableNames=["dy","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4,",this.workgroupSize=[64,1,1],this.size=!1,this.isVec4=!1,this.workPerThread=1,this.outputShape=e.inShape,this.isChannelsLast=e.dataFormat==="channelsLast",this.isVec4=this.isChannelsLast&&e.outChannels%4===0&&e.inChannels%4===0,this.isVec4?(this.workPerThread=2,this.outputComponent=4,this.workgroupSize=[4,4,4],this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1])):(this.size=!0,this.workPerThread=1,this.workgroupSize=[64,1,1],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize)),this.shaderKey=`conv2DDerInput_${this.isChannelsLast}_${this.isVec4}_${this.workPerThread}`}getUserCode(){let e=this.isChannelsLast?1:2,t=this.isChannelsLast?2:3,o=this.isChannelsLast?3:1,n=` + ${K()} { + let batch = i32(globalId.z) / uniforms.outShape[1]; + let r = i32(globalId.z) % uniforms.outShape[1]; + let c = i32(globalId.y) * ${this.workPerThread}; + let d1 = i32(globalId.x) * 4; + + let dyCorner = vec2(r, c) - uniforms.pads; + + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + var dotProd: array, ${this.workPerThread}>; + for (var i = 0; i < ${this.workPerThread}; i++) { + dotProd[i] = vec4(0.0); + } + for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { + let dyR = f32(dyCorner.x + wR) / f32(uniforms.strides.x); + let wRPerm = uniforms.filterDims.x - 1 - wR; + if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || + fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { + let dyC = f32(dyCorner.y + wC) / f32(uniforms.strides.y); + let dyC2 = f32(dyCorner.y + 1 + wC) / f32(uniforms.strides.y); + let wCPerm = uniforms.filterDims.y - 1 - wC; + var bDyCVal = true; + var bDyCVal2 = true; + if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || + fract(dyC) > 0.0) { + bDyCVal = false; + } + if (dyC2 < 0.0 || dyC2 >= f32(uniforms.outBackprop[2]) || + fract(dyC2) > 0.0) { + bDyCVal2 = false; + } + + let idyC = i32(dyC); + let idyC2 = i32(dyC2); + if (bDyCVal && bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + xValue = getDy(batch, idyR, idyC2, d2); + dotProd[1] = dotProd[1] + vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + } + } else if (bDyCVal) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[0] = dotProd[0] + tmpval; + } + } else if (bDyCVal2) { + let d2Length = uniforms.outBackprop[3]; + for (var d2 = 0; d2 < d2Length; d2 = d2 + 4) { + let wValue0 = getW(wRPerm, wCPerm, d1, d2); + let wValue1 = getW(wRPerm, wCPerm, d1 + 1, d2); + let wValue2 = getW(wRPerm, wCPerm, d1 + 2, d2); + let wValue3 = getW(wRPerm, wCPerm, d1 + 3, d2); + var xValue = getDy(batch, idyR, idyC2, d2); + let tmpval = vec4(dot(xValue, wValue0), + dot(xValue, wValue1), + dot(xValue, wValue2), + dot(xValue, wValue3)); + dotProd[1] = dotProd[1] + tmpval; + } + } + } + } + + for (var i = 0; i < ${this.workPerThread}; i = i + 1) { + let coords = vec4(batch, r, c + i, d1); + if (coordsInBounds4D(coords, uniforms.outShape)) { + setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], dotProd[i]); + } + } + } + `;return this.isVec4?` + ${n} + `:` + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let batch = coords[0]; @@ -6353,7 +6639,7 @@ return a / b;`,M7=` // ? = to be determined. : = across all values in that axis. var dotProd = 0.0; for (var wR = 0; wR < uniforms.filterDims.x; wR = wR + 1) { - let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.stride.x); + let dyR = (f32(dyRCorner) + f32(wR)) / f32(uniforms.strides.x); let wRPerm = uniforms.filterDims.x - 1 - wR; if (dyR < 0.0 || dyR >= f32(uniforms.outBackprop[1]) || fract(dyR) > 0.0 || wRPerm < 0) { @@ -6362,7 +6648,7 @@ return a / b;`,M7=` let idyR = i32(dyR); for (var wC = 0; wC < uniforms.filterDims.y; wC = wC + 1) { - let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.stride.y); + let dyC = (f32(dyCCorner) + f32(wC)) / f32(uniforms.strides.y); let wCPerm = uniforms.filterDims.y - 1 - wC; if (dyC < 0.0 || dyC >= f32(uniforms.outBackprop[2]) || fract(dyC) > 0.0 || wCPerm < 0) { @@ -6371,24 +6657,17 @@ return a / b;`,M7=` let idyC = i32(dyC); for (var d2 = 0; d2 < uniforms.outBackprop[3]; d2 = d2 + 1) { - if (${this.isChannelsLast}) { - let xValue = getDy(batch, idyR, idyC, d2); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } else { - let xValue = getDy(batch, d2, idyR, idyC); - let wValue = getW(wRPerm, wCPerm, d1, d2); - dotProd = dotProd + xValue * wValue; - } - + let xValue = ${this.isChannelsLast?"getDy(batch, idyR, idyC, d2)":"getDy(batch, d2, idyR, idyC)"}; + let wValue = getW(wRPerm, wCPerm, d1, d2); + dotProd = dotProd + xValue * wValue; } } } setOutputAtIndex(index, dotProd); } } - `}},Jg=class{constructor(e){this.variableNames=["x","dy"],this.uniforms="pad : vec2, stride : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return` - ${Q("index")} { + `}},yx=class{constructor(e){this.variableNames=["x","dy"],this.uniforms="pads : vec2, strides : vec2, batchSize : i32, outHeight : i32, outWidth : i32, inHeight : i32, inWidth : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",this.shaderKey=`conv2DDerFilter_${this.isChannelsLast}`}getUserCode(){return` + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); let wR = coords[0]; @@ -6401,13 +6680,13 @@ return a / b;`,M7=` var dotProd = 0.0; for (var b = 0; b < uniforms.batchSize; b = b + 1) { for (var yR = 0; yR < uniforms.outHeight; yR = yR + 1) { - let xR = wR + yR * uniforms.stride[0] - uniforms.pad[0]; + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; if (xR < 0 || xR >= uniforms.inHeight) { continue; } for (var yC = 0; yC < uniforms.outWidth; yC = yC + 1) { - let xC = wC + yC * uniforms.stride[1] - uniforms.pad[1]; + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; if (xC < 0 || xC >= uniforms.inWidth) { continue; @@ -6428,7 +6707,102 @@ return a / b;`,M7=` setOutputAtIndex(index, dotProd); } } - `}};function hoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=S.convertConv2DDataFormat(p),m=S.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new Jg(m),f=[{type:"int32",data:[m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.batchSize]},{type:"int32",data:[m.outHeight]},{type:"int32",data:[m.outWidth]},{type:"int32",data:[m.inHeight]},{type:"int32",data:[m.inWidth]}];return t.runWebGPUProgram(d,[n,s],n.dtype,f)}var nL={kernelName:oi,backendName:"webgpu",kernelFunc:hoe};function goe(r=4){let e=s=>{switch(s){case 1:return"return W[getIndexFromCoords4D(coord, uniforms.wShape)];";case 4:return` + `}},bx=class{constructor(e){this.variableNames=["x","dy"],this.uniforms=`pads : vec3, strides : vec3, batchSize : i32, outDepth : i32, + outHeight : i32, outWidth : i32, inDepth : i32, inHeight : i32, inWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3DDerFilter"}getUserCode(){return` + ${K("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wF = coords.x; + let wR = coords.y; + let wC = coords.z; + let d1 = coords.w; + let d2 = coords.u; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yF = 0; yF < uniforms.outDepth; yF++) { + let xF = wF + yF * uniforms.strides[0] - uniforms.pads[0]; + if (xF < 0 || xF >= uniforms.inDepth) { + continue; + } + + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[1] - uniforms.pads[1]; + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[2] - uniforms.pads[2]; + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yF, yR, yC, d2); + let xValue = getX(b, xF, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},Cx=class{constructor(e){this.variableNames=["dy","W"],this.uniforms=`filterDims : vec3, pads : vec3, strides : vec3, + outDepth : i32, outHeight : i32, outWidth : i32, outChannels : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3DDerInput"}getUserCode(){return` + ${K("index")} { + if(index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let d1 = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyFCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let dyF = f32(dyFCorner + wF) / f32(uniforms.strides[0]); + if (dyF < 0.0 || dyF >= f32(uniforms.outDepth) || fract(dyF) > 0.0) { + continue; + } + let idyF = i32(dyF); + + let wFPerm = uniforms.filterDims[0] - 1 - wF; + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + let wRPerm = uniforms.filterDims[1] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let wCPerm = uniforms.filterDims[2] - 1 - wC; + + for (var d2 = 0; d2 < uniforms.outChannels; d2++) { + let xValue = getDy(batch, idyF, idyR, idyC, d2); + let wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function Fie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,dataFormat:p,dimRoundingMode:u,filterShape:c}=o,l=C.convertConv2DDataFormat(p),m=C.computeConv2DInfo(n.shape,c,a,1,i,u,!1,l),d=new yx(m),f=[{type:"int32",data:[m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.batchSize]},{type:"int32",data:[m.outHeight]},{type:"int32",data:[m.outWidth]},{type:"int32",data:[m.inHeight]},{type:"int32",data:[m.inWidth]}];return t.runWebGPUProgram(d,[n,s],n.dtype,f)}var Uz={kernelName:$i,backendName:"webgpu",kernelFunc:Fie};function Pie(r=4){let e=s=>{switch(s){case 1:return"return W[getIndexFromCoords4D(coord, uniforms.wShape)];";case 4:return` let coord1 = vec4(coordX, coordY, col + 1, rowInner); let coord2 = vec4(coordX, coordY, col + 2, rowInner); let coord3 = vec4(coordX, coordY, col + 3, rowInner); @@ -6444,13 +6818,13 @@ return a / b;`,M7=` let WRow = col / (uniforms.filterDims[1] * uniforms.outBackprop[3]); let WCol = col / uniforms.outBackprop[3] % uniforms.filterDims[1]; - let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.stride[0]); - let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.stride[1]); + let xR = f32(outRow - uniforms.pads[0] + WRow) / f32(uniforms.strides[0]); + let xC = f32(outCol - uniforms.pads[1] + WCol) / f32(uniforms.strides[1]); if (xR < 0.0 || xR >= f32(uniforms.outBackprop[1]) || fract(xR) > 0.0) { - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } if (xC < 0.0 || xC >= f32(uniforms.outBackprop[2]) || fract(xC) > 0.0) { - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } let coord = vec4( batch, @@ -6459,13 +6833,13 @@ return a / b;`,M7=` col % uniforms.outBackprop[3]); return x[getIndexFromCoords4D(coord, uniforms.xShape)/${r}];`} } - return ${kt(r)}(0.0);`;return` - fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${kt(r)} { + return ${Ae(r)}(0.0);`;return` + fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} { let col = colIn * ${r}; ${o} } - fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${kt(r)} { + fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${Ae(r)} { let col = colIn * ${r}; let coordX = uniforms.filterDims.x - 1 - row / (uniforms.filterDims[1] * uniforms.outBackprop[3]); @@ -6477,10 +6851,10 @@ return a / b;`,M7=` let coord = vec4(coordX, coordY, col, rowInner); ${e(r)} } - return ${kt(r)}(0.0); + return ${Ae(r)}(0.0); } - fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${kt(r)}) { + fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${Ae(r)}) { let col = colIn * ${r}; if (row < uniforms.dimAOuter && (col + ${r-1}) < uniforms.dimBOuter) { var value = valueInput; @@ -6491,11 +6865,93 @@ return a / b;`,M7=` col); result[getIndexFromCoords4D(outCoord, uniforms.outShape)/${r}] = value; } - }`}var ex=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, stride : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.inShape,y.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=Bl(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=Vl(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.variableTypes=["vec4","f32"]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?qu(this.elementsPerThread,this.workgroupSize):ju(this.elementsPerThread,this.workgroupSize);return` - ${goe(this.isVec4?4:1)} + }`}var wx=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims : vec2, pads : vec2, strides : vec2, outBackprop : vec4, dimAOuter : i32, dimBOuter : i32, dimInner : i32,",this.outputShape=e.inShape,y.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),this.isVec4=e.inChannels%4===0&&e.outChannels%4===0,this.dispatchLayout={x:[3],y:[1,2],z:[0]},this.workgroupSize=im(this.dispatchLayout,this.outputShape,this.isVec4),this.elementsPerThread=um(this.dispatchLayout,this.outputShape,this.isVec4),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,this.elementsPerThread),this.isVec4&&(this.outputComponent=4,this.variableComponents=[4,1]),this.shaderKey=`conv2DDerInputMM_${this.isVec4}_${this.elementsPerThread}`}getUserCode(){let e=this.isVec4?Tp(this.elementsPerThread,this.workgroupSize):_p(this.elementsPerThread,this.workgroupSize);return` + ${Pie(this.isVec4?4:1)} ${e} - `}};function xoe(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=[{type:"int32",data:[m.filterHeight,m.filterWidth]},{type:"int32",data:[m.filterHeight-1-m.padInfo.top,m.filterWidth-1-m.padInfo.left]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.batchSize,m.outHeight,m.outWidth,m.outChannels]}],f;if(O().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE")||m.filterHeight<=2&&m.filterWidth<=2&&m.outChannels<=16&&m.inChannels===1)f=new Zg(m);else{f=new ex(m);let h=m.inHeight*m.inWidth,g=m.inChannels,x=m.filterHeight*m.filterWidth*m.outChannels;d.push({type:"uint32",data:[h]},{type:"uint32",data:[g]},{type:"uint32",data:[x]})}return t.runWebGPUProgram(f,[n,s],"float32",d)}var sL={kernelName:Go,backendName:"webgpu",kernelFunc:xoe};var yoe=xe({opType:X.COS}),aL={kernelName:Ho,backendName:"webgpu",kernelFunc:yoe};var boe=xe({opType:X.COSH}),iL={kernelName:Ko,backendName:"webgpu",kernelFunc:boe};var tx=class{constructor(e,t,o,n){this.variableNames=["Image","Boxes","BoxInd"],this.uniforms="extrapolationValue : f32,",this.workgroupSize=[64,1,1],this.size=!0;let[s]=t;this.outputShape=[s,o[0],o[1],e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n==="bilinear"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=["f32(uniforms.imageShape[1] - 1)","f32(uniforms.imageShape[2] - 1)"],[o,n,s]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,"(y2-y1) * height_ratio",`y1*${e} + f32(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${e}`],[a,i,p]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,"(x2-x1) * width_ratio",`x1*${t} + f32(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${t}`];return` - ${Q("index")} { + `}};function Oie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{inputShape:a,strides:i,pad:p,dataFormat:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(u),m=C.computeConv2DInfo(a,s.shape,i,1,p,c,!1,l),d=[{type:"int32",data:[m.filterHeight,m.filterWidth]},{type:"int32",data:[m.filterHeight-1-m.padInfo.top,m.filterWidth-1-m.padInfo.left]},{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.batchSize,m.outHeight,m.outWidth,m.outChannels]}],f;if(P().getBool("WEBGPU_USE_NAIVE_CONV2D_TRANSPOSE")||m.dataFormat!=="channelsLast")f=new xx(m);else{f=new wx(m);let h=m.inHeight*m.inWidth,g=m.inChannels,x=m.filterHeight*m.filterWidth*m.outChannels;d.push({type:"uint32",data:[h]},{type:"uint32",data:[g]},{type:"uint32",data:[x]})}return t.runWebGPUProgram(f,[n,s],"float32",d)}var Gz={kernelName:tn,backendName:"webgpu",kernelFunc:Oie};var Sx=class{constructor(e){this.variableNames=["x","W"],this.uniforms="filterDims: vec3, pads: vec3, strides: vec3, dilations: vec3,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="conv3dnaive"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords.x; + let d2 = coords.u; + + let xFRCCorner = vec3(coords.y, coords.z, coords.w) * uniforms.strides - uniforms.pads; + let xFCorner = xFRCCorner.x; + let xRCorner = xFRCCorner.y; + let xCCorner = xFRCCorner.z; + + let inputDepthNearestVec4 = (uniforms.xShape.u / 4) * 4; + let inputDepthVec4Remainder = uniforms.xShape.u % 4; + + var dotProd = 0.0; + for (var wF = 0; wF < uniforms.filterDims[0]; wF++) { + let xF = xFCorner + wF * uniforms.dilations[0]; + if (xF < 0 || xF >= uniforms.xShape.y) { + continue; + } + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let xR = xRCorner + wR * uniforms.dilations[1]; + if (xR < 0 || xR >= uniforms.xShape.z) { + continue; + } + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let xC = xCCorner + wC * uniforms.dilations[2]; + if (xC < 0 || xC >= uniforms.xShape.w) { + continue; + } + + for (var d1 = 0; d1 < inputDepthNearestVec4; d1 += 4) { + let xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3) + ); + let wValues = vec4( + getW(wF, wR, wC, d1, d2), + getW(wF, wR, wC, d1 + 1, d2), + getW(wF, wR, wC, d1 + 2, d2), + getW(wF, wR, wC, d1 + 3, d2) + ); + + dotProd += dot(xValues, wValues); + } + + if (inputDepthVec4Remainder == 1) { + dotProd += getX(batch, xF, xR, xC, inputDepthNearestVec4) * + getW(wF, wR, wC, inputDepthNearestVec4, d2); + } else if (inputDepthVec4Remainder == 2) { + let xValues = vec2( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1) + ); + let wValues = vec2( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2) + ); + dotProd += dot(xValues, wValues); + } else if (inputDepthVec4Remainder == 3) { + let xValues = vec3( + getX(batch, xF, xR, xC, inputDepthNearestVec4), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1), + getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2) + ); + let wValues = vec3( + getW(wF, wR, wC, inputDepthNearestVec4, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 1, d2), + getW(wF, wR, wC, inputDepthNearestVec4 + 2, d2) + ); + dotProd += dot(xValues, wValues); + } + } + } + } + setOutputAtIndex(index, dotProd); + } + }`}};function Mie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeConv3DInfo(n.shape,s.shape,a,p,i),c=[u.padInfo.front,u.padInfo.top,u.padInfo.left],l=[{type:"int32",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:"int32",data:[...c]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationDepth,u.dilationHeight,u.dilationWidth]}],m=new Sx(u),d=dt(n.dtype,s.dtype);return t.runWebGPUProgram(m,[n,s],d,l)}var Hz={kernelName:rn,backendName:"webgpu",kernelFunc:Mie};function Lie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,pad:i,filterShape:p}=o,u=C.computeConv3DInfo(n.shape,p,a,1,i),c=new bx(u),l=[{type:"int32",data:[u.padInfo.front,u.padInfo.top,u.padInfo.left]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.batchSize]},{type:"int32",data:[u.outDepth]},{type:"int32",data:[u.outHeight]},{type:"int32",data:[u.outWidth]},{type:"int32",data:[u.inDepth]},{type:"int32",data:[u.inHeight]},{type:"int32",data:[u.inWidth]}];return t.runWebGPUProgram(c,[n,s],s.dtype,l)}var Kz={kernelName:za,backendName:"webgpu",kernelFunc:Lie};function Bie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,pad:i,inputShape:p}=o,u=C.computeConv3DInfo(p,s.shape,a,1,i),c=new Cx(u),l=[{type:"int32",data:[u.filterDepth,u.filterHeight,u.filterWidth]},{type:"int32",data:[u.filterDepth-1-u.padInfo.front,u.filterHeight-1-u.padInfo.top,u.filterWidth-1-u.padInfo.left]},{type:"int32",data:[u.strideDepth,u.strideHeight,u.strideWidth]},{type:"int32",data:[u.outDepth]},{type:"int32",data:[u.outHeight]},{type:"int32",data:[u.outWidth]},{type:"int32",data:[u.outChannels]}];return t.runWebGPUProgram(c,[n,s],n.dtype,l)}var qz={kernelName:on,backendName:"webgpu",kernelFunc:Bie};var zie=xe({opType:Q.COS}),jz={kernelName:nn,backendName:"webgpu",kernelFunc:zie};var Vie=xe({opType:Q.COSH}),Xz={kernelName:sn,backendName:"webgpu",kernelFunc:Vie};var Ix=class{constructor(e,t,o,n){this.variableNames=["Image","Boxes","BoxInd"],this.uniforms="extrapolationValue : f32,",this.workgroupSize=[64,1,1],this.size=!0;let[s]=t;this.outputShape=[s,o[0],o[1],e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.methodId=n==="bilinear"?1:0,this.cropHeightBiggerThan1=this.outputShape[1]>1,this.cropWidthBiggerThan1=this.outputShape[2]>1,this.shaderKey=`cropAndResize_${this.methodId}_${this.cropHeightBiggerThan1}_${this.cropWidthBiggerThan1}`}getUserCode(){let[e,t]=["f32(uniforms.imageShape[1] - 1)","f32(uniforms.imageShape[2] - 1)"],[o,n,s]=this.cropHeightBiggerThan1?[`(${e} / f32(uniforms.outShape[1] - 1))`,"(y2-y1) * height_ratio",`y1*${e} + f32(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${e}`],[a,i,p]=this.cropWidthBiggerThan1?[`(${t} / f32(uniforms.outShape[2] - 1))`,"(x2-x1) * width_ratio",`x1*${t} + f32(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${t}`];return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let height_ratio = f32(${o}); @@ -6550,24 +7006,24 @@ return a / b;`,M7=` } } } - `}};var Coe=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new tx(n.shape[3],s.shape,i,p),l=[{type:"float32",data:[u]}];return t.runWebGPUProgram(c,[n,s,a],"float32",l)},uL={kernelName:Xo,backendName:"webgpu",kernelFunc:Coe};var Zu;(function(r){r.Prod="*",r.Sum="+"})(Zu||(Zu={}));var Kl=class{constructor(e,t,o,n){this.variableNames=["x"],this.uniforms="index : f32,",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=o,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===Zu.Prod?"1.0":"0.0",o=this.exclusive?t:`getX(${pL(e,"coords",this.op)})`,n=this.outputShape[this.outputShape.length-1],s="",a="";return this.exclusive?(s=this.reverse?`end != ${n-1}`:"end != 0",a=this.reverse?"end + 1":"end - 1"):(s=this.reverse?`end + pow2 < ${n}`:"end >= pow2",a=this.reverse?"end + pow2":"end - pow2"),` - ${Q("index")} { + `}};var Wie=r=>{let{inputs:e,backend:t,attrs:o}=r,{image:n,boxes:s,boxInd:a}=e,{cropSize:i,method:p,extrapolationValue:u}=o,c=new Ix(n.shape[3],s.shape,i,p),l=[{type:"float32",data:[u]}];return t.runWebGPUProgram(c,[n,s,a],"float32",l)},Yz={kernelName:pn,backendName:"webgpu",kernelFunc:Wie};var Rp;(function(r){r.Prod="*",r.Sum="+"})(Rp||(Rp={}));var dm=class{constructor(e,t,o,n){this.variableNames=["x"],this.uniforms="index : f32,",this.size=!0,this.workgroupSize=[128,1,1],this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.exclusive=o,this.reverse=n,this.op=e,this.shaderKey=`cum_${this.op}_${this.exclusive}_${this.reverse}`}getUserCode(){let e=this.outputShape.length,t=this.op===Rp.Prod?"1.0":"0.0",o=this.exclusive?t:`getX(${Qz(e,"coords",this.op)})`,n=this.outputShape[this.outputShape.length-1],s="",a="";return this.exclusive?(s=this.reverse?`end != ${n-1}`:"end != 0",a=this.reverse?"end + 1":"end - 1"):(s=this.reverse?`end + pow2 < ${n}`:"end >= pow2",a=this.reverse?"end + pow2":"end - pow2"),` + ${K("index")} { if (index < uniforms.size) { var coords = getCoordsFromIndex(index); - let end = ${cL(e,"coords",this.op)}; + let end = ${Zz(e,"coords",this.op)}; var val = ${o}; let pow2 = i32(pow(2.0, uniforms.index)); if (${s}) { let idx = ${a}; - ${cL(e,"coords",this.op)} = idx; - val ${this.op}= getX(${pL(e,"coords",this.op)}); + ${Zz(e,"coords",this.op)} = idx; + val ${this.op}= getX(${Qz(e,"coords",this.op)}); } setOutputAtIndex(index, val); } } - `}};function pL(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function cL(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function rx(r,e,t,o,n,s){let a=e.shape.length,i=S.getAxesPermutation([o],a),p=e;i!=null&&(p=Nr({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=S.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=Dt({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new Kl(r,p.shape,!1,s),f=l,h=[{type:"float32",data:[m]}];l=t.runWebGPUProgram(d,[l],l.dtype,h),t.disposeData(f.dataId)}if(n){let m=new Kl(r,p.shape,n,s),d=l,f=[{type:"float32",data:[0]}];l=t.runWebGPUProgram(m,[l],l.dtype,f),t.disposeData(d.dataId)}if(i!=null){let m=S.getUndoAxesPermutation(i),d=Nr({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeData(l.dataId),t.disposeData(p.dataId),d}return l}function Soe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return rx(Zu.Prod,n,t,s,a,i)}var lL={kernelName:qo,backendName:"webgpu",kernelFunc:Soe};function woe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return rx(Zu.Sum,n,t,s,a,i)}var mL={kernelName:jo,backendName:"webgpu",kernelFunc:woe};function Ioe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o,p=n.shape.length===1,c=y.sizeFromShape(s.shape)>0,l=s.dtype,m=p?[n.shape[0]]:[n.shape[0],n.shape[1]],d=p?[a]:[n.shape[0],a],f=fr({backend:t,attrs:{shape:d,value:0,dtype:l}}),h=new Tc(m,c,i),g=[{type:"int32",data:[a]}],x=c?[n,s]:[n];return t.runWebGPUProgram(h,x,l,g,f)}var dL={kernelName:ni,backendName:"webgpu",kernelFunc:Ioe};var ox=class{constructor(e,t){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms="blockSize : i32,",this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return` - ${Q("index")} { + `}};function Qz(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function Zz(r,e,t){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative ${t} for rank ${r} is not yet supported`)}function vx(r,e,t,o,n,s){let a=e.shape.length,i=C.getAxesPermutation([o],a),p=e;i!=null&&(p=rr({inputs:{x:e},backend:t,attrs:{perm:i}}));let u=C.getInnerMostAxes(1,a)[0];if(u!==a-1)throw new Error(`WebGPU cumprod shader expects an inner-most axis=${e.shape.length-1} but got axis=${o}`);let c=p.shape[u],l=At({inputs:{x:p},backend:t});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let d=new dm(r,p.shape,!1,s),f=l,h=[{type:"float32",data:[m]}];l=t.runWebGPUProgram(d,[l],l.dtype,h),t.disposeData(f.dataId)}if(n){let m=new dm(r,p.shape,n,s),d=l,f=[{type:"float32",data:[0]}];l=t.runWebGPUProgram(m,[l],l.dtype,f),t.disposeData(d.dataId)}if(i!=null){let m=C.getUndoAxesPermutation(i),d=rr({inputs:{x:l},backend:t,attrs:{perm:m}});return t.disposeData(l.dataId),t.disposeData(p.dataId),d}return l}function Uie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return vx(Rp.Prod,n,t,s,a,i)}var Jz={kernelName:an,backendName:"webgpu",kernelFunc:Uie};function Gie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,exclusive:a,reverse:i}=o;return vx(Rp.Sum,n,t,s,a,i)}var eV={kernelName:un,backendName:"webgpu",kernelFunc:Gie};function Hie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,weights:s}=e,{size:a,binaryOutput:i}=o,p=n.shape.length===1,c=y.sizeFromShape(s.shape)>0,l=s.dtype,m=p?[n.shape[0]]:[n.shape[0],n.shape[1]],d=p?[a]:[n.shape[0],a],f=Vt({backend:t,attrs:{shape:d,value:0,dtype:l}}),h=new jc(m,c,i),g=[{type:"int32",data:[a]}],x=c?[n,s]:[n];return t.runWebGPUProgram(h,x,l,g,f)}var tV={kernelName:Qs,backendName:"webgpu",kernelFunc:Hie};var kx=class{constructor(e,t){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.uniforms="blockSize : i32,",this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`depthToSpace_${t}`,this.dataFormat=t}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -6586,8 +7042,8 @@ return a / b;`,M7=` let rlt = ${this.getInputSamplingString()}; setOutputAtIndex(index, rlt); } - }`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?"uniforms.outShape[3]":"uniforms.outShape[1]"}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function voe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=[{type:"int32",data:[s]}],g=new ox(f,a);return t.runWebGPUProgram(g,[n],n.dtype,h)}var fL={kernelName:Yo,backendName:"webgpu",kernelFunc:voe};var nx=class{constructor(e,t,o,n=!1,s=null,a=!1){this.variableNames=["x","W"],this.uniforms="pad : vec2, inDims : vec2,",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),this.addBias=n,this.activation=s,this.hasPreluActivation=a,this.filterHeight=t,this.filterWidth=o,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],o=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return` - ${pr(this.activation,this.hasPreluActivation,!1,4)} + }`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?"uniforms.outShape[3]":"uniforms.outShape[1]"}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function Kie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockSize:s,dataFormat:a}=o,i=n.shape[0],p=a==="NHWC"?n.shape[1]:n.shape[2],u=a==="NHWC"?n.shape[2]:n.shape[3],c=a==="NHWC"?n.shape[3]:n.shape[1],l=p*s,m=u*s,d=c/(s*s),f=a==="NHWC"?[i,l,m,d]:[i,d,l,m],h=[{type:"int32",data:[s]}],g=new kx(f,a);return t.runWebGPUProgram(g,[n],n.dtype,h)}var rV={kernelName:cn,backendName:"webgpu",kernelFunc:Kie};var Nx=class{constructor(e,t,o,n=!1,s=null,a=!1){this.variableNames=["x","W"],this.uniforms="pads : vec2, inDims : vec2,",this.workgroupSize=[16,16,1],this.outputShape=e,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),this.addBias=n,this.activation=s,this.hasPreluActivation=a,this.filterHeight=t,this.filterWidth=o,this.shaderKey=`depthwiseNCHW_${this.activation}_${this.filterHeight}_${this.filterWidth}`}getUserCode(){let e=this.filterWidth*this.filterHeight,t=this.workgroupSize[0]*this.workgroupSize[1]*this.workgroupSize[2],o=this.workgroupSize[1]+this.filterHeight-1,n=this.workgroupSize[0]+this.filterWidth-1;return` + ${dr(this.activation,this.hasPreluActivation,!1,4)} var mm_Asub : array, ${o}>; var mm_Bsub : array, ${this.filterHeight}>; @@ -6600,10 +7056,10 @@ return a / b;`,M7=` return value; } - ${Q()} { + ${K()} { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.zw) - uniforms.pad; + let xRCCorner = vec2(coords.zw) - uniforms.pads; let channelMul = uniforms.wShape[3]; let d1 = coords[1] / channelMul; let q = coords[1] % channelMul; @@ -6643,13 +7099,13 @@ return a / b;`,M7=` value = fma(xVal, wVal, value); } } - ${Gr(this.addBias,this.activation)} + ${jr(this.addBias,this.activation)} if (coordsInBounds4D(coords, uniforms.outShape)) { setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } - `}};var $c=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms="pad : vec2, inDims : vec2,",this.workgroupSize=[4,4,4],this.workPerThread=4,this.isVec4=!0,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),y.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,o=this.convInfo.strideWidth;return` - ${pr(this.activation,this.hasPreluActivation,!0,4)} + `}};var Yc=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms="pads : vec2, inDims : vec2,",this.workgroupSize=[4,4,4],this.workPerThread=4,this.outputComponent=4,this.outputShape=e.outShape,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[4,this.workPerThread,1]),y.assert(e.dataFormat==="channelsLast",()=>"TODO: NCHW is unimplemented"),t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwiseVec4_${o}_${this.convInfo.filterHeight}_${this.convInfo.filterWidth}_${this.convInfo.strideHeight}_${this.convInfo.strideWidth}_${this.workPerThread}`}getUserCode(){let e=(this.workPerThread-1)*this.convInfo.strideWidth+this.convInfo.filterWidth,t=this.convInfo.strideHeight,o=this.convInfo.strideWidth;return` + ${dr(this.activation,this.hasPreluActivation,!0,4)} fn readX(batch : i32, row : i32, col : i32, channel : i32) -> vec4 { var value = vec4(0.0); if (col >=0 && col < uniforms.inDims[1]) { @@ -6658,12 +7114,12 @@ return a / b;`,M7=` return value; } - ${Q()} { + ${K()} { let batch = i32(globalId.z) / uniforms.outShape[1]; let r = i32(globalId.z) % uniforms.outShape[1]; let c = i32(globalId.y) * ${this.workPerThread}; let d1 = i32(globalId.x) * 4; - let xRCCorner = vec2(r, c) * vec2(${t}, ${o}) - uniforms.pad; + let xRCCorner = vec2(r, c) * vec2(${t}, ${o}) - uniforms.pads; let xRCorner = xRCCorner.x; let xCCorner = xRCCorner.y; @@ -6693,20 +7149,20 @@ return a / b;`,M7=` let coords = vec4(batch, r, c + i, d1); if (coordsInBounds4D(coords, uniforms.outShape)) { var value = dotProd[i]; - ${Gr(this.addBias,this.activation)} + ${jr(this.addBias,this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } } - `}};var Ec=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms=`pad : vec2, inDims : vec2, filterHeight : i32, - filterWidth : i32, stride : vec2, dilation : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?"getX(batch, xR, xC, d1);":"getX(batch, d1, xR, xC);";return` - ${pr(this.activation,this.hasPreluActivation,!1,4)} + `}};var Qc=class{constructor(e,t=!1,o=null,n=!1){this.variableNames=["x","W"],this.uniforms=`pads : vec2, inDims : vec2, filterHeight : i32, + filterWidth : i32, strides : vec2, dilations : vec2,`,this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.isChannelsLast=e.dataFormat==="channelsLast",t&&this.variableNames.push("bias"),n&&this.variableNames.push("preluActivationWeights"),this.convInfo=e,this.addBias=t,this.activation=o,this.hasPreluActivation=n,this.shaderKey=`depthwise_${this.activation}_${this.isChannelsLast}`}getUserCode(){let e=this.isChannelsLast?"getX(batch, xR, xC, d1);":"getX(batch, d1, xR, xC);";return` + ${dr(this.activation,this.hasPreluActivation,!1,4)} - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let batch = coords[0]; - let xRCCorner = vec2(coords.${this.isChannelsLast?"yz":"zw"}) * uniforms.stride - uniforms.pad; + let xRCCorner = vec2(coords.${this.isChannelsLast?"yz":"zw"}) * uniforms.strides - uniforms.pads; let d2 = coords[${this.isChannelsLast?3:1}]; let channelMul = uniforms.wShape[3]; let d1 = d2 / channelMul; @@ -6715,9 +7171,9 @@ return a / b;`,M7=` let inputRowStart = xRCCorner.x; let inputColStart = xRCCorner.y; let inputRowEnd = inputRowStart + uniforms.filterHeight * - uniforms.dilation[0]; + uniforms.dilations[0]; let inputColEnd = inputColStart + uniforms.filterWidth * - uniforms.dilation[1]; + uniforms.dilations[1]; // Convolve x(?, ?, d1)|x(d1, ?, ?) with w(:, :, d1, q) to get // y(yR, yC, d2)|y(d2, yR, yC). ? = to be determined. : = across all @@ -6730,10 +7186,10 @@ return a / b;`,M7=` inputRowEnd < uniforms.inDims[0] && inputColEnd < uniforms.inDims[1]) { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; let xVal = ${e}; let wVal = getW(wR, wC, d1, q); @@ -6742,14 +7198,14 @@ return a / b;`,M7=` } } else { for (var wR = 0; wR < uniforms.filterHeight; wR = wR + 1) { - let xR = inputRowStart + wR * uniforms.dilation[0]; + let xR = inputRowStart + wR * uniforms.dilations[0]; if (xR < 0 || xR >= uniforms.inDims[0]) { continue; } for (var wC = 0; wC < uniforms.filterWidth; wC = wC + 1) { - let xC = inputColStart + wC * uniforms.dilation[1]; + let xC = inputColStart + wC * uniforms.dilations[1]; if (xC < 0 || xC >= uniforms.inDims[1]) { continue; @@ -6761,36 +7217,115 @@ return a / b;`,M7=` } } } - ${Gr(this.addBias,this.activation)} + ${jr(this.addBias,this.activation)} setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value); } } - `}};function koe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=S.convertConv2DDataFormat(p),m=u;m==null&&(m=[1,1]);let d=S.computeConv2DInfo(n.shape,s.shape,a,m,i,c,!0,l),f=[{type:"int32",data:[d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.inHeight,d.inWidth]}],h=d.dataFormat==="channelsLast",g;return!h&&d.inHeight>16&&d.inWidth>16&&d.strideHeight===1&&d.strideWidth===1&&d.dilationWidth===1&&d.dilationHeight===1&&d.inChannels===d.outChannels?g=new nx(d.outShape,d.filterHeight,d.filterWidth):h&&d.outHeight>4&&d.outWidth>4&&d.strideWidth<=2&&d.inChannels===d.outChannels&&d.dilationHeight===1&&d.dilationWidth===1&&d.inChannels%4===0?g=new $c(d):(g=new Ec(d),f.push({type:"int32",data:[d.filterHeight]},{type:"int32",data:[d.filterWidth]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.dilationHeight,d.dilationWidth]})),t.runWebGPUProgram(g,[n,s],n.dtype,f)}var hL={kernelName:Qo,backendName:"webgpu",kernelFunc:koe};var sx=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="diag"}getUserCode(){return` - ${Q("index")} { + `}};function qie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dataFormat:p,dilations:u,dimRoundingMode:c}=o,l=C.convertConv2DDataFormat(p),m=u;m==null&&(m=[1,1]);let d=C.computeConv2DInfo(n.shape,s.shape,a,m,i,c,!0,l),f=[{type:"int32",data:[d.padInfo.top,d.padInfo.left]},{type:"int32",data:[d.inHeight,d.inWidth]}],h=d.dataFormat==="channelsLast",g;return!h&&d.inHeight>16&&d.inWidth>16&&d.strideHeight===1&&d.strideWidth===1&&d.dilationWidth===1&&d.dilationHeight===1&&d.inChannels===d.outChannels?g=new Nx(d.outShape,d.filterHeight,d.filterWidth):h&&d.outHeight>4&&d.outWidth>4&&d.strideWidth<=2&&d.inChannels===d.outChannels&&d.dilationHeight===1&&d.dilationWidth===1&&d.inChannels%4===0?g=new Yc(d):(g=new Qc(d),f.push({type:"int32",data:[d.filterHeight]},{type:"int32",data:[d.filterWidth]},{type:"int32",data:[d.strideHeight,d.strideWidth]},{type:"int32",data:[d.dilationHeight,d.dilationWidth]})),t.runWebGPUProgram(g,[n,s],n.dtype,f)}var oV={kernelName:ln,backendName:"webgpu",kernelFunc:qie};var Tx=class{constructor(e){this.variableNames=["x","dy"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2, outHeight : i32, + outWidth : i32, inHeight : i32, inWidth : i32, batchSize : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="depthwise_conv2d_backprop_filter"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let wR = coords[0]; + let wC = coords[1]; + let d1 = coords[2]; + let dm = coords[3]; + let d2 = d1 * uniforms.channelMul + dm; + + var dotProd = 0.0; + for (var b = 0; b < uniforms.batchSize; b++) { + for (var yR = 0; yR < uniforms.outHeight; yR++) { + let xR = wR + yR * uniforms.strides[0] - uniforms.pads[0]; + + if (xR < 0 || xR >= uniforms.inHeight) { + continue; + } + + for (var yC = 0; yC < uniforms.outWidth; yC++) { + let xC = wC + yC * uniforms.strides[1] - uniforms.pads[1]; + + if (xC < 0 || xC >= uniforms.inWidth) { + continue; + } + + let dyValue = getDy(b, yR, yC, d2); + let xValue = getX(b, xR, xC, d1); + dotProd += xValue * dyValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},_x=class{constructor(e){this.variableNames=["dy","W"],this.uniforms=`strides : vec2, pads : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32, channelMul : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="depthwise_conv2d_backprop_input"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d1 = coords[3]; + let dyCorner = coords.yz - uniforms.pads; + let dyRCorner = dyCorner.x; + let dyCCorner = dyCorner.y; + + var dotProd = 0.0; + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + + let idyR = i32(dyR); + let wRPerm = uniforms.filterDims[0] - 1 - wR; + + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + + let idyC = i32(dyC); + let wCPerm = uniforms.filterDims[1] - 1 - wC; + + for (var dm = 0; dm < uniforms.channelMul; dm++) { + let d2 = d1 * uniforms.channelMul + dm; + let xValue = getDy(batch, idyR, idyC, d2); + let wValue = getW(wRPerm, wCPerm, d1, dm); + dotProd += xValue * wValue; + } + } + } + setOutputAtIndex(index, dotProd); + } + } + `}};function jie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,dy:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,filterShape:c}=o,l=C.computeConv2DInfo(n.shape,c,a,i,p,u,!0),m=new Tx(l),d=[{type:"int32",data:[l.strideHeight,l.strideWidth]},{type:"int32",data:[l.padInfo.top,l.padInfo.left]},{type:"int32",data:[l.filterHeight,l.filterWidth]},{type:"int32",data:[l.outHeight]},{type:"int32",data:[l.outWidth]},{type:"int32",data:[l.inHeight]},{type:"int32",data:[l.inWidth]},{type:"int32",data:[l.batchSize]},{type:"int32",data:[l.outChannels/l.inChannels]}];return t.runWebGPUProgram(m,[n,s],"float32",d)}var nV={kernelName:Ei,backendName:"webgpu",kernelFunc:jie};function Xie(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,filter:s}=e,{strides:a,dilations:i,pad:p,dimRoundingMode:u,inputShape:c}=o,l=C.computeConv2DInfo(c,s.shape,a,i,p,u,!0),m=new _x(l),d=[{type:"int32",data:[l.strideHeight,l.strideWidth]},{type:"int32",data:[l.filterHeight-1-l.padInfo.top,l.filterWidth-1-l.padInfo.left]},{type:"int32",data:[l.filterHeight,l.filterWidth]},{type:"int32",data:[l.outHeight]},{type:"int32",data:[l.outWidth]},{type:"int32",data:[l.outChannels/l.inChannels]}];return t.runWebGPUProgram(m,[n,s],n.dtype,d)}var sV={kernelName:Ri,backendName:"webgpu",kernelFunc:Xie};var $x=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="diag"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let value = select(0.0, getX(coords[0]), coords[0] == coords[1]); setOutputAtIndex(index, value); } } - `}};function Noe(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=me({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new sx(s),p=t.runWebGPUProgram(i,[a],a.dtype),u=me({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var gL={kernelName:si,backendName:"webgpu",kernelFunc:Noe};var ax=class{constructor(e){this.variableNames=["x","w"],this.uniforms="filterDims: vec2, pad: vec2, stride: vec2, dilation: vec2",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="dilation2d"}getUserCode(){return` - ${Q("index")} { + `}};function Yie(r){let{inputs:e,backend:t}=r,{x:o}=e,n=[...o.shape,...o.shape],s=y.sizeFromShape(o.shape),a=pe({inputs:{x:o},backend:t,attrs:{shape:[s]}}),i=new $x(s),p=t.runWebGPUProgram(i,[a],a.dtype),u=pe({inputs:{x:p},backend:t,attrs:{shape:n}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var aV={kernelName:Zs,backendName:"webgpu",kernelFunc:Yie};var Ex=class{constructor(e){this.variableNames=["x","w"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.outShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="dilation2d"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let neg_infinity = -3.4e38; let coords = getOutputCoords(); let batch = coords.x; let d1 = coords.w; - let outTopLeftCorner = coords.yz * uniforms.stride - uniforms.pad; + let outTopLeftCorner = coords.yz * uniforms.strides - uniforms.pads; let hBeg = outTopLeftCorner.x; let wBeg = outTopLeftCorner.y; var curVal = neg_infinity; for (var h = 0; h < uniforms.filterDims[0]; h = h + 1) { - let hIn = hBeg + h * uniforms.dilation[0]; + let hIn = hBeg + h * uniforms.dilations[0]; if (hIn >= 0 && hIn < uniforms.xShape[1]) { for (var w = 0; w < uniforms.filterDims[1]; w = w + 1) { - let wIn = wBeg + w * uniforms.dilation[1]; + let wIn = wBeg + w * uniforms.dilations[1]; if (wIn >= 0 && wIn < uniforms.xShape[2]) { let val = getX(batch, hIn, wIn, d1) + getW(h, w, d1); @@ -6805,7 +7340,94 @@ return a / b;`,M7=` setOutputAtIndex(index, curVal); } } - `}};function Toe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=S.computeDilation2DInfo(n.shape,s.shape,a,i,"NHWC",p),c=[u.padInfo.top,u.padInfo.left],l=[{type:"int32",data:[u.filterHeight,u.filterWidth]},{type:"int32",data:[...c]},{type:"int32",data:[u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationHeight,u.dilationWidth]}],m=new ax(u);return t.runWebGPUProgram(m,[n,s],n.dtype,l)}var xL={kernelName:ai,backendName:"webgpu",kernelFunc:Toe};var II=Ze({opType:ge.MUL,cpuKernelImpl:lM,supportsComplex:!0}),yL={kernelName:kn,backendName:"webgpu",kernelFunc:II};function ql(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,"sum",t)}var bL={kernelName:Kn,backendName:"webgpu",kernelFunc:ql};function _oe(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=S.decodeEinsumEquation(n,s.length);S.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=S.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=ql({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeData(h.dataId);return m}var CL={kernelName:ii,backendName:"webgpu",kernelFunc:_oe};var $oe=xe({opType:X.ELU}),SL={kernelName:Jo,backendName:"webgpu",kernelFunc:$oe};var Eoe=Ze({opType:ge.EQUAL,dtype:"bool",cpuKernelImpl:Q3}),wL={kernelName:en,backendName:"webgpu",kernelFunc:Eoe};var Aoe=xe({opType:X.ERF}),IL={kernelName:da,backendName:"webgpu",kernelFunc:Aoe};var vI=xe({opType:X.EXP,cpuKernelImpl:Z3,dtype:"float32"}),vL={kernelName:tn,backendName:"webgpu",kernelFunc:vI};function ix(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),me({inputs:{x:s},backend:o,attrs:{shape:i}})}var kL={kernelName:Ss,backendName:"webgpu",kernelFunc:ix};var Roe=xe({opType:X.EXPM1,cpuKernelImpl:J3}),NL={kernelName:fa,backendName:"webgpu",kernelFunc:Roe};var jl=class{constructor(e,t){this.variableNames=["real","imag"],this.outputShape=[],this.uniforms="exponentMultiplier : f32, denominator: f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return` + `}};function Qie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s}=e,{strides:a,pad:i,dilations:p}=o,u=C.computeDilation2DInfo(n.shape,s.shape,a,i,"NHWC",p),c=[u.padInfo.top,u.padInfo.left],l=[{type:"int32",data:[u.filterHeight,u.filterWidth]},{type:"int32",data:[...c]},{type:"int32",data:[u.strideHeight,u.strideWidth]},{type:"int32",data:[u.dilationHeight,u.dilationWidth]}],m=new Ex(u);return t.runWebGPUProgram(m,[n,s],n.dtype,l)}var iV={kernelName:mn,backendName:"webgpu",kernelFunc:Qie};var Rx=class{constructor(e,t){if(this.variableNames=["x","w","dy"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(e.outShape),this.dispatch=q(this.dispatchLayout,e.outShape,this.workgroupSize),t!=="float32"&&t!=="int32")throw new Error(`Dilation2DBackpropInput only supports float32 and int32 + types, does not support ${t} type.`);this.type=t,this.shaderKey="dilation2DBackpropInput"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var xRMax = 0; + var xCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + xRMax = xR; + xCMax = xC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.xShape[3] * + (xCMax + uniforms.xShape[2] * (xRMax + uniforms.xShape[1] * b)); + let value = getDy(b, r, c, d); + ${Bs("&result[flatIndexIn]","value",this.type)} + } + } + `}},Dx=class{constructor(e,t,o){if(this.variableNames=["x","w","dy"],this.uniforms="filterDims: vec2, pads: vec2, strides: vec2, dilations: vec2, dySize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=e.filterShape,this.dispatchLayout=Z(e.outShape),this.dispatch=q(this.dispatchLayout,e.outShape,this.workgroupSize),o!=="float32"&&o!=="int32")throw new Error(`Dilation2DBackpropFilter only supports float32 and int32 + types, does not support ${o} type.`);this.type=o,this.shaderKey="dilation2DBackpropFilter"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.dySize) { + let coords = getDyCoordsFromIndex(index); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + let d = coords[3]; + + let dyCorner = vec2(r, c) * uniforms.strides - uniforms.pads; + var curVal = -3.4e38; // neg_infinity + var wRMax = 0; + var wCMax = 0; + + // In the case of multiple argmax branches, we only back-propagate + // along the last branch, i.e., the one with largest value of + // 'wR * uniforms.filterDims[1] + wC', similarly to the max-pooling + // backward routines. + for (var wR = 0; wR < uniforms.filterDims[0]; wR++) { + let xR = dyCorner.x + wR * uniforms.dilations[0]; + + if (xR >= 0 && xR < uniforms.xShape[1]) { + for (var wC = 0; wC < uniforms.filterDims[1]; wC++) { + let xC = dyCorner.y + wC * uniforms.dilations[1]; + + if (xC >= 0 && xC < uniforms.xShape[2]) { + let val = getX(b, xR, xC, d) + getW(wR, wC, d); + if (val > curVal) { + curVal = val; + wRMax = wR; + wCMax = wC; + } + } + } + } + } + + let flatIndexIn = d + uniforms.wShape[2] * (wCMax + wRMax * uniforms.wShape[1]); + let value = getDy(b, r, c, d); + ${Bs("&result[flatIndexIn]","value",this.type)} + } + } + `}};function Zie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o,c=C.computeDilation2DInfo(n.shape,s.shape,i,p,"NHWC",u),l=s.dtype,m=new Dx(c,s.shape,l),d=[{type:"int32",data:[c.filterHeight,c.filterWidth]},{type:"int32",data:[c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.dilationHeight,c.dilationWidth]},{type:"int32",data:[y.sizeFromShape(c.outShape)]}],f=Vt({backend:t,attrs:{shape:s.shape,value:0,dtype:l}});return t.runWebGPUProgram(m,[n,s,a],l,d,f)}var uV={kernelName:Ai,backendName:"webgpu",kernelFunc:Zie};function Jie(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,dy:a}=e,{strides:i,pad:p,dilations:u}=o,c=C.computeDilation2DInfo(n.shape,s.shape,i,p,"NHWC",u),l=n.dtype,m=new Rx(c,l),d=[{type:"int32",data:[c.filterHeight,c.filterWidth]},{type:"int32",data:[c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.dilationHeight,c.dilationWidth]},{type:"int32",data:[y.sizeFromShape(c.outShape)]}],f=Vt({backend:t,attrs:{shape:c.inShape,value:0,dtype:l}});return t.runWebGPUProgram(m,[n,s,a],l,d,f)}var pV={kernelName:Di,backendName:"webgpu",kernelFunc:Jie};var Wv=et({opType:fe.MUL,cpuKernelImpl:HB,supportsComplex:!0}),cV={kernelName:Kn,backendName:"webgpu",kernelFunc:Wv};function Uv(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,"sum",t)}var lV={kernelName:ys,backendName:"webgpu",kernelFunc:Uv};function eue(r){let{inputs:e,backend:t,attrs:o}=r,{equation:n}=o,s=e,{allDims:a,summedDims:i,idDims:p}=C.decodeEinsumEquation(n,s.length);C.checkEinsumDimSizes(a.length,p,s);let{path:u,steps:c}=C.getEinsumComputePath(i,p),l=c.length,m=null,d=a.length,f=[];for(let h=0;h=0&&(m=Uv({inputs:{x:m},backend:t,attrs:{axis:u[h]-(a.length-d),keepDims:!1}}),f.push(m)),d--)}for(let h of f)h!==m&&t.disposeData(h.dataId);return m}var mV={kernelName:Fi,backendName:"webgpu",kernelFunc:eue};var tue=xe({opType:Q.ELU}),dV={kernelName:fn,backendName:"webgpu",kernelFunc:tue};var rue=r=>{let{inputs:e,backend:t}=r,{dy:o,y:n}=e,s=new bi(fe.ELU_DER,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],o.dtype)},fV={kernelName:Va,backendName:"webgpu",kernelFunc:rue};var oue=et({opType:fe.EQUAL,dtype:"bool",cpuKernelImpl:EB}),hV={kernelName:hn,backendName:"webgpu",kernelFunc:oue};var nue=xe({opType:Q.ERF}),gV={kernelName:Wa,backendName:"webgpu",kernelFunc:nue};var sue=xe({opType:Q.EXP,cpuKernelImpl:RB,dtype:"float32"}),xV={kernelName:gn,backendName:"webgpu",kernelFunc:sue};function Ax(r){let{inputs:e,attrs:t,backend:o}=r,{dim:n}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),p=n;return n<0&&(y.assert(-(a+1)<=n,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),p=a+n+1),i.splice(p,0,1),pe({inputs:{x:s},backend:o,attrs:{shape:i}})}var yV={kernelName:Js,backendName:"webgpu",kernelFunc:Ax};var aue=xe({opType:Q.EXPM1,cpuKernelImpl:DB}),bV={kernelName:xn,backendName:"webgpu",kernelFunc:aue};var fm=class{constructor(e,t){this.variableNames=["real","imag"],this.outputShape=[],this.uniforms="exponentMultiplier : f32, denominator: f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.component=e,this.shaderKey=`fft_${e}`}getUserCode(){return` fn unaryOpComplex(real: f32, expR: f32, imag: f32, expI: f32) -> f32 { ${this.component==="real"?"return real * expR - imag * expI;":"return real * expI + imag * expR;"} } @@ -6832,14 +7454,14 @@ return a / b;`,M7=` return result; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); setOutputAtIndex(index, mulMatDFT(coords[0], coords[1])); } } - `}};function ux(r,e,t){let o=t.tensorMap.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=[],p=me({inputs:{x:r},backend:t,attrs:{shape:[a,s]}});i.push(p);let u=p.shape,c=new jl("real",u),l=new jl("imag",u),m=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:u},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:u}],d=e?2*Math.PI:-2*Math.PI,f=e?u[1]:1,h=[{type:"float32",data:[d]},{type:"float32",data:[f]}],g=t.runWebGPUProgram(c,m,"float32",h);i.push(g);let x=t.runWebGPUProgram(l,m,"float32",h);i.push(x);let b=po({inputs:{real:g,imag:x},backend:t});i.push(b);let C=me({inputs:{x:b},backend:t,attrs:{shape:r.shape}});return i.forEach(w=>t.disposeData(w.dataId)),C}function Doe(r){let{inputs:e,backend:t}=r,{input:o}=e;return ux(o,!1,t)}var TL={kernelName:ui,backendName:"webgpu",kernelFunc:Doe};var px=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="flipLeftRight"}getUserCode(){return` - ${Q("index")} { + `}};function Fx(r,e,t){let o=t.tensorMap.get(r.dataId),n=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=n/s,i=[],p=pe({inputs:{x:r},backend:t,attrs:{shape:[a,s]}});i.push(p);let u=p.shape,c=new fm("real",u),l=new fm("imag",u),m=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:u},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:u}],d=e?2*Math.PI:-2*Math.PI,f=e?u[1]:1,h=[{type:"float32",data:[d]},{type:"float32",data:[f]}],g=t.runWebGPUProgram(c,m,"float32",h);i.push(g);let x=t.runWebGPUProgram(l,m,"float32",h);i.push(x);let b=fo({inputs:{real:g,imag:x},backend:t});i.push(b);let w=pe({inputs:{x:b},backend:t,attrs:{shape:r.shape}});return i.forEach(S=>t.disposeData(S.dataId)),w}function iue(r){let{inputs:e,backend:t}=r,{input:o}=e;return Fx(o,!1,t)}var CV={kernelName:Pi,backendName:"webgpu",kernelFunc:iue};var Px=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="flipLeftRight"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordX = uniforms.xShape[2] - coords[2] - 1; @@ -6847,9 +7469,9 @@ return a / b;`,M7=` setOutputAtIndex(index, outputValue); } } - `}};var _L={kernelName:rn,backendName:"webgpu",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new px(t.shape);return o.runWebGPUProgram(n,[t],t.dtype)}};var Foe=xe({opType:X.FLOOR,cpuKernelImpl:eM}),$L={kernelName:on,backendName:"webgpu",kernelFunc:Foe};var Ooe=Ze({opType:ge.INT_DIV,dtype:"int32"}),EL={kernelName:nn,backendName:"webgpu",kernelFunc:Ooe};var cx=class{constructor(e,t,o=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=o,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?"textureLoad(src, vec2(coords.yx));":"textureLoad(src, vec2(coords.yx), 0)";return` + `}};var wV={kernelName:yn,backendName:"webgpu",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,o=e,n=new Px(t.shape);return o.runWebGPUProgram(n,[t],t.dtype)}};var uue=xe({opType:Q.FLOOR,cpuKernelImpl:AB}),SV={kernelName:bn,backendName:"webgpu",kernelFunc:uue};var pue=et({opType:fe.INT_DIV,cpuKernelImpl:FB,dtype:"int32"}),IV={kernelName:Cn,backendName:"webgpu",kernelFunc:pue};var Ox=class{constructor(e,t,o=!1){this.isFromPixels=!0,this.outputShape=[0],this.variableNames=[],this.workgroupSize=[256,1,1],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[t,1,1]),this.importVideo=o,this.shaderKey=`fromPixels_${this.importVideo}`}getUserCode(){let e=this.importVideo?"textureLoad(src, vec2(coords.yx));":"textureLoad(src, vec2(coords.yx), 0)";return` @binding(1) @group(0) var src: ${this.importVideo?"texture_external":"texture_2d"}; - ${Q("index")} { + ${K("index")} { let flatIndex = index * uniforms.numChannels; if (flatIndex < uniforms.size) { let coords = getCoordsFromIndex(flatIndex); @@ -6859,8 +7481,8 @@ return a / b;`,M7=` } } } - `}};var AL={kernelName:Zi,backendName:"webgpu",kernelFunc:Poe},Ac,kI=O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU"),lx=new Map;function Poe(r){let{inputs:e,backend:t,attrs:o}=r,{pixels:n}=e,{numChannels:s}=o;if(n==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let a=typeof HTMLVideoElement!="undefined"&&n instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&n instanceof HTMLImageElement,p=typeof HTMLCanvasElement!="undefined"&&n instanceof HTMLCanvasElement||typeof OffscreenCanvas!="undefined"&&n instanceof OffscreenCanvas,u=typeof ImageBitmap!="undefined"&&n instanceof ImageBitmap,[c,l]=a?[n.videoWidth,n.videoHeight]:[n.width,n.height],m=[l,c,s],d=!1,f=a||i;if(u||p||f){let b;if(d){let D=n;if(!lx.has(D)||lx.get(D).expired){let P={source:D};lx.set(D,t.device.importExternalTexture(P))}b={width:c,height:l,format:null,usage:null,texture:lx.get(D)}}else{if(f){let L=O().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Ac==null||L!==kI)&&(kI=L,Ac=document.createElement("canvas").getContext("2d",{willReadFrequently:kI})),Ac.canvas.width=c,Ac.canvas.height=l,Ac.drawImage(n,0,0,c,l),n=Ac.canvas}let D=GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING,P="rgba8unorm",M=t.textureManager.acquireTexture(m[1],m[0],P,D);t.queue.copyExternalImageToTexture({source:n},{texture:M},[m[1],m[0]]),b={width:c,height:l,format:P,usage:D,texture:M}}let C=y.sizeFromShape(m),w=y.computeStrides(m),k=new cx(m,s,d),_=[{type:"uint32",data:[C]},{type:"uint32",data:[s]},{type:"uint32",data:[...w]}],E=t.makeTensorInfo([l,c],"int32"),A=t.tensorMap.get(E.dataId);A.resourceInfo=b;let R=t.runWebGPUProgram(k,[E],"int32",_);return t.disposeData(E.dataId),R}let h=n.data,g=h;if(s!=null&&s!==4){g=new Uint8Array(n.width*n.height*s);let b=h.length,C=0;for(let w=0;w(xValue, -meanValue, offsetValue), vec3(inv, inv, 1.0))); } } - `}};var RL={kernelName:sn,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o,scale:n,offset:s,mean:a,variance:i}=r,{varianceEpsilon:p}=e,u=t,c=[o,a,i],l=null;s!=null&&(l=s.shape,c.push(s));let m=null;n!=null&&(m=n.shape,c.push(n));let d=new mx(o.shape,a.shape,i.shape,l,m),f=[{type:"float32",data:[p]}];return u.runWebGPUProgram(d,c,o.dtype,f)}};function Moe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h);return Qg({x:n,filter:s,convInfo:g,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:f,activation:d})}var DL={kernelName:go,backendName:"webgpu",kernelFunc:Moe};function Loe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=c;f==null&&(f=[1,1]),y.assert(S.eitherStridesOrDilationsAreOne(p,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`);let h=S.computeConv2DInfo(n.shape,s.shape,p,f,u,l,!0),g=[n,s],x=a!=null,b=i!=null;x&&g.push(a),b&&g.push(i);let C=[{type:"int32",data:[h.padInfo.top,h.padInfo.left]},{type:"int32",data:[h.inHeight,h.inWidth]}],w;return h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?w=new $c(h,x,m,b):(w=new Ec(h,x,m,b),C.push({type:"int32",data:[h.filterHeight]},{type:"int32",data:[h.filterWidth]},{type:"int32",data:[h.strideHeight,h.strideWidth]},{type:"int32",data:[h.dilationHeight,h.dilationWidth]})),m==="leakyrelu"&&(C.push({type:"float32",data:[d]}),w.uniforms+=" alpha : f32,"),t.runWebGPUProgram(w,g,"float32",C)}var FL={kernelName:xo,backendName:"webgpu",kernelFunc:Loe};var dx=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${Rt(e)},`}getUserCode(){let e;return this.sliceDim>1?e="uniforms.strides[j]":e="uniforms.strides",` - ${Q("index")} { + `}};var kV={kernelName:wn,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o,scale:n,offset:s,mean:a,variance:i}=r,{varianceEpsilon:p}=e,u=t,c=[o,a,i],l=null;s!=null&&(l=s.shape,c.push(s));let m=null;n!=null&&(m=n.shape,c.push(n));let d=new Mx(o.shape,a.shape,i.shape,l,m),f=[{type:"float32",data:[p]}];return u.runWebGPUProgram(d,c,o.dtype,f)}};function lue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dataFormat:c,dilations:l,dimRoundingMode:m,activation:d,leakyreluAlpha:f}=o,h=C.convertConv2DDataFormat(c),g=C.computeConv2DInfo(n.shape,s.shape,p,l,u,m,!1,h);return gx({x:n,filter:s,convInfo:g,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:f,activation:d})}var NV={kernelName:Co,backendName:"webgpu",kernelFunc:lue};function mue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,filter:s,bias:a,preluActivationWeights:i}=e,{strides:p,pad:u,dilations:c,dimRoundingMode:l,activation:m,leakyreluAlpha:d}=o,f=c;f==null&&(f=[1,1]),y.assert(C.eitherStridesOrDilationsAreOne(p,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${p} and dilations '${f}'`);let h=C.computeConv2DInfo(n.shape,s.shape,p,f,u,l,!0),g=[n,s],x=a!=null,b=i!=null;x&&g.push(a),b&&g.push(i);let w=[{type:"int32",data:[h.padInfo.top,h.padInfo.left]},{type:"int32",data:[h.inHeight,h.inWidth]}],S;return h.outHeight>4&&h.outWidth>4&&h.strideWidth<=2&&h.inChannels===h.outChannels&&h.dilationHeight===1&&h.dilationWidth===1&&h.inChannels%4===0?S=new Yc(h,x,m,b):(S=new Qc(h,x,m,b),w.push({type:"int32",data:[h.filterHeight]},{type:"int32",data:[h.filterWidth]},{type:"int32",data:[h.strideHeight,h.strideWidth]},{type:"int32",data:[h.dilationHeight,h.dilationWidth]})),m==="leakyrelu"&&(w.push({type:"float32",data:[d]}),S.uniforms+=" alpha : f32,"),t.runWebGPUProgram(S,g,"float32",w)}var TV={kernelName:wo,backendName:"webgpu",kernelFunc:mue};var Lx=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey=`gathernd_${e}`,this.sliceDim=e,this.uniforms=`sliceDim : i32, strides : ${Nt(e)},`}getUserCode(){let e;return this.sliceDim>1?e="uniforms.strides[j]":e="uniforms.strides",` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var flattenIndex = 0; @@ -6886,8 +7508,8 @@ return a / b;`,M7=` setOutputAtIndex(index, getA(flattenIndex, coords[1])); } } - `}};function Boe(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=S.prepareAndValidate(o,n),m=me({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=me({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype==="string"){let b=t.readSync(n.dataId),C=t.bufferSync(o),w=tM(b,C,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,w.values)}let f=new dx(a,[u,c]),h=[{type:"int32",data:[a]},{type:"int32",data:l}],g=t.runWebGPUProgram(f,[d,m],d.dtype,h),x=me({inputs:{x:g},backend:t,attrs:{shape:p}});return t.disposeData(m.dataId),t.disposeData(d.dataId),t.disposeData(g.dataId),x}var OL={kernelName:an,backendName:"webgpu",kernelFunc:Boe};var fx=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="gather"}getUserCode(){let e=Voe(this.aShape);return` - ${Q("index")} { + `}};function due(r){let{inputs:e,backend:t}=r,{params:o,indices:n}=e,s=n.shape,a=s[s.length-1],i=y.sizeFromShape(o.shape),[p,u,c,l]=C.prepareAndValidate(o,n),m=pe({inputs:{x:n},backend:t,attrs:{shape:[u,a]}}),d=pe({inputs:{x:o},backend:t,attrs:{shape:[y.sizeFromShape(o.shape)/c,c]}});if(t.shouldExecuteOnCPU([o,n])||o.dtype==="string"){let b=t.readSync(n.dataId),w=t.bufferSync(o),S=PB(b,w,o.dtype,u,a,c,l,o.shape,i);return t.makeTensorInfo(p,o.dtype,S.values)}let f=new Lx(a,[u,c]),h=[{type:"int32",data:[a]},{type:"int32",data:l}],g=t.runWebGPUProgram(f,[d,m],d.dtype,h),x=pe({inputs:{x:g},backend:t,attrs:{shape:p}});return t.disposeData(m.dataId),t.disposeData(d.dataId),t.disposeData(g.dataId),x}var _V={kernelName:Sn,backendName:"webgpu",kernelFunc:due};var Bx=class{constructor(e,t){this.variableNames=["A","indices"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.slice(),this.aShape=e,this.outputShape=t,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="gather"}getUserCode(){let e=fue(this.aShape);return` + ${K("index")} { if (index < uniforms.size) { let resRC = getCoordsFromIndex(index); let indexZ = i32(getIndices(resRC.x, resRC.z)); @@ -6895,13 +7517,13 @@ return a / b;`,M7=` setOutputAtIndex(index, inBounds * getA(${e})); } } - `}};function Voe(r){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],t=[];for(let o=0;ot.disposeData(R.dataId)),t.makeTensorInfo(u.outputShape,A.dtype,A.values)}let h=new fx(m.shape,f),g=t.runWebGPUProgram(h,[m,d],m.dtype);l.push(g);let x=me({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeData(b.dataId)),x}var PL={kernelName:Is,backendName:"webgpu",kernelFunc:NI};var zoe=Ze({opType:ge.GREATER,cpuKernelImpl:nM,dtype:"bool"}),ML={kernelName:un,backendName:"webgpu",kernelFunc:zoe};var Woe=Ze({opType:ge.GREATER_EQUAL,dtype:"bool",cpuKernelImpl:oM}),LL={kernelName:pn,backendName:"webgpu",kernelFunc:Woe};function Uoe(r){let{inputs:e,backend:t}=r,{input:o}=e;return ux(o,!0,t)}var BL={kernelName:pi,backendName:"webgpu",kernelFunc:Uoe};var Goe=xe({opType:X.IS_FINITE,dtype:"bool"}),VL={kernelName:ha,backendName:"webgpu",kernelFunc:Goe};var Hoe=xe({opType:X.IS_INF,dtype:"bool"}),zL={kernelName:ga,backendName:"webgpu",kernelFunc:Hoe};var Koe=xe({opType:X.IS_NAN,dtype:"bool"}),WL={kernelName:cn,backendName:"webgpu",kernelFunc:Koe};function qoe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=[{type:"float32",data:[s]}],i=new Hr(n.shape,X.LEAKYRELU,"alpha : f32,");return t.runWebGPUProgram(i,[n],"float32",a)}var UL={kernelName:ln,backendName:"webgpu",kernelFunc:qoe};var joe=Ze({opType:ge.LESS,dtype:"bool",cpuKernelImpl:aM}),GL={kernelName:mn,backendName:"webgpu",kernelFunc:joe};var Xoe=Ze({opType:ge.LESS_EQUAL,dtype:"bool",cpuKernelImpl:sM}),HL={kernelName:dn,backendName:"webgpu",kernelFunc:Xoe};var hx=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="start : f32, step : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="linSpace"}getUserCode(){return` - ${Q("index")} { + `}};function fue(r){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],t=[];for(let o=0;ot.disposeData(D.dataId)),t.makeTensorInfo(u.outputShape,R.dtype,R.values)}let h=new Bx(m.shape,f),g=t.runWebGPUProgram(h,[m,d],m.dtype);l.push(g);let x=pe({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return l.forEach(b=>t.disposeData(b.dataId)),x}var $V={kernelName:ta,backendName:"webgpu",kernelFunc:Hv};var hue=et({opType:fe.GREATER,cpuKernelImpl:LB,dtype:"bool"}),EV={kernelName:In,backendName:"webgpu",kernelFunc:hue};var gue=et({opType:fe.GREATER_EQUAL,dtype:"bool",cpuKernelImpl:MB}),RV={kernelName:vn,backendName:"webgpu",kernelFunc:gue};function xue(r){let{inputs:e,backend:t}=r,{input:o}=e;return Fx(o,!0,t)}var DV={kernelName:Oi,backendName:"webgpu",kernelFunc:xue};var yue=xe({opType:Q.IS_FINITE,dtype:"bool"}),AV={kernelName:kn,backendName:"webgpu",kernelFunc:yue};var bue=xe({opType:Q.IS_INF,dtype:"bool"}),FV={kernelName:Nn,backendName:"webgpu",kernelFunc:bue};var Cue=xe({opType:Q.IS_NAN,dtype:"bool"}),PV={kernelName:Tn,backendName:"webgpu",kernelFunc:Cue};function wue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{alpha:s}=o,a=[{type:"float32",data:[s]}],i=new Xr(n.shape,Q.LEAKYRELU,"alpha : f32,");return t.runWebGPUProgram(i,[n],"float32",a)}var OV={kernelName:_n,backendName:"webgpu",kernelFunc:wue};var Sue=et({opType:fe.LESS,dtype:"bool",cpuKernelImpl:zB}),MV={kernelName:$n,backendName:"webgpu",kernelFunc:Sue};var Iue=et({opType:fe.LESS_EQUAL,dtype:"bool",cpuKernelImpl:BB}),LV={kernelName:En,backendName:"webgpu",kernelFunc:Iue};var zx=class{constructor(e){this.variableNames=[],this.outputShape=[],this.uniforms="start : f32, step : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="linSpace"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { setOutputAtIndex(index, uniforms.start + f32(index) * uniforms.step); } } - `}};function Yoe(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=(n-o)/(s-1),i=new hx(s),p=[{type:"float32",data:[o]},{type:"float32",data:[a]}];return e.runWebGPUProgram(i,[],"float32",p)}var KL={kernelName:li,backendName:"webgpu",kernelFunc:Yoe};var Qoe=xe({opType:X.LOG,cpuKernelImpl:iM}),qL={kernelName:fn,backendName:"webgpu",kernelFunc:Qoe};var Zoe=xe({opType:X.LOG1P}),jL={kernelName:xa,backendName:"webgpu",kernelFunc:Zoe};var Joe=Ze({opType:ge.LOGICAL_AND,dtype:"bool"}),XL={kernelName:hn,backendName:"webgpu",kernelFunc:Joe};var ene=xe({opType:X.LOGICAL_NOT}),YL={kernelName:gn,backendName:"webgpu",kernelFunc:ene};var tne=Ze({opType:ge.LOGICAL_OR}),QL={kernelName:xn,backendName:"webgpu",kernelFunc:tne};var ZL=` + `}};function vue(r){let{backend:e,attrs:t}=r,{start:o,stop:n,num:s}=t,a=(n-o)/(s-1),i=new zx(s),p=[{type:"float32",data:[o]},{type:"float32",data:[a]}];return e.runWebGPUProgram(i,[],"float32",p)}var BV={kernelName:Rn,backendName:"webgpu",kernelFunc:vue};var kue=xe({opType:Q.LOG,cpuKernelImpl:VB}),zV={kernelName:Dn,backendName:"webgpu",kernelFunc:kue};var Nue=xe({opType:Q.LOG1P}),VV={kernelName:An,backendName:"webgpu",kernelFunc:Nue};var Tue=et({opType:fe.LOGICAL_AND,dtype:"bool"}),WV={kernelName:Fn,backendName:"webgpu",kernelFunc:Tue};var _ue=xe({opType:Q.LOGICAL_NOT}),UV={kernelName:Pn,backendName:"webgpu",kernelFunc:_ue};var $ue=et({opType:fe.LOGICAL_OR}),GV={kernelName:On,backendName:"webgpu",kernelFunc:$ue};var HV=` var powValue = 0.0; let basis = uniforms.bias + uniforms.alpha * sum; if (uniforms.beta == 0.5) { @@ -6911,8 +7533,8 @@ return a / b;`,M7=` } else { powValue = exp(log(basis) * (-uniforms.beta)); } -`,gx=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn"}getUserCode(){return` - ${Q("index")} { +`,Vx=class{constructor(e){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getOutputCoords(); let b = coords[0]; @@ -6929,17 +7551,17 @@ return a / b;`,M7=` sum = sum + z * z; } } - ${ZL} + ${HV} setOutputAtIndex(index, x * powValue); } } - `}},xx=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,y.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=Y(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey="lrn_shared"}getUserCode(){return` + `}},Wx=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.uniforms="radius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[256,1,1],this.maxAllowRadius=16,y.assert(t<=this.maxAllowRadius,()=>`Radius must be less than or equal to ${this.maxAllowRadius}, current radius is ${t}`),this.outputShape=e,this.elementsPerWorkgroup=this.workgroupSize[0]-2*this.maxAllowRadius,this.dispatchLayout={x:[3],y:[2],z:[0,1]},this.dispatch=q(this.dispatchLayout,this.outputShape,[this.elementsPerWorkgroup,this.workgroupSize[1],this.workgroupSize[2]]),this.shaderKey="lrn_shared"}getUserCode(){return` var lrnSub: array; const elementsPerWorkgroup = ${this.elementsPerWorkgroup}; const maxAllowRadius = ${this.maxAllowRadius}; - ${Q()} { + ${K()} { let localDepth = i32(localId.x); let workgroupDepth = i32(workgroupId.x) * elementsPerWorkgroup; let xDepth = workgroupDepth + localDepth - maxAllowRadius; @@ -6962,12 +7584,165 @@ return a / b;`,M7=` let z = lrnSub[index + i]; sum = sum + z * z; } - ${ZL} + ${HV} setOutputAtCoords(b, r, c, d, lrnSub[index] * powValue); } - } `}};function rne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u;s>16?u=new gx(n.shape):u=new xx(n.shape,s);let c=[{type:"int32",data:[s]},{type:"float32",data:[a]},{type:"float32",data:[i]},{type:"float32",data:[p]}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var JL={kernelName:mi,backendName:"webgpu",kernelFunc:rne};var one=Ze({opType:ge.MAX,cpuKernelImpl:pM}),eB={kernelName:bn,backendName:"webgpu",kernelFunc:one};function nne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=S.computePool2DInfo(n.shape,s,a,u,i,p);return zg(n,c,"max",t)}var tB={kernelName:Cn,backendName:"webgpu",kernelFunc:nne};function sne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,"min",t)}var rB={kernelName:wn,backendName:"webgpu",kernelFunc:sne};var ane=Ze({opType:ge.MIN,cpuKernelImpl:cM}),oB={kernelName:In,backendName:"webgpu",kernelFunc:ane};var yx=class{constructor(e,t,o){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,s)=>n[0]+e[s]+n[1]),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,s)=>{this.uniforms+=` pad${s} : vec2,`}),this.offset=o==="reflect"?0:1,this.shaderKey=`mirrorPad_${o}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((u,c)=>`uniforms.pad${c}[0]`).join(","),o=this.xShape.map((u,c)=>`uniforms.pad${c}[0] + uniforms.xShape${e>1?`[${c}]`:""}`).join(","),n=e===1?"start":"start[i]",s=e===1?"end":"end[i]",a=e===1?"outC":"outC[i]",i=Rt(e),p=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` - ${Q("index")} { + } `}};function Eue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{depthRadius:s,bias:a,alpha:i,beta:p}=o,u;s>16?u=new Vx(n.shape):u=new Wx(n.shape,s);let c=[{type:"int32",data:[s]},{type:"float32",data:[a]},{type:"float32",data:[i]},{type:"float32",data:[p]}];return t.runWebGPUProgram(u,[n],n.dtype,c)}var KV={kernelName:Mn,backendName:"webgpu",kernelFunc:Eue};var Ux=class{constructor(e){this.outputShape=[],this.variableNames=["inputImage","outputImage","dy"],this.uniforms="depthRadius : i32, bias : f32, alpha : f32, beta : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="lrn_grad"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let r = coords[1]; + let c = coords[2]; + + let MIN_DEPTH_BEGIN = 0; + let MAX_DEPTH_END = uniforms.outShape[3]; + var result = 0.0; + for (var d = MIN_DEPTH_BEGIN; d < MAX_DEPTH_END; d++) { + let depthBegin = max(MIN_DEPTH_BEGIN, d - uniforms.depthRadius); + let depthEnd = min(MAX_DEPTH_END, d + uniforms.depthRadius + 1); + + var norm = 0.0; + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k); + } else { + break; + } + } + + norm = uniforms.alpha * norm + uniforms.bias; + + for (var k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; k++) { + if (k < depthBegin) { + continue; + } else if (k >= depthBegin && k < depthEnd) { + var dyi = -2.0 * uniforms.alpha * uniforms.beta + * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d) / norm; + if (k == d) { + dyi += pow(norm, -1.0 * uniforms.beta); + } + if (k == coords[3]) { + dyi *= getDy(b, r, c, d); + result += dyi; + } + } else { + break; + } + } + } + + setOutputAtIndex(index, result); + } + } + `}};function Rue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,y:s,dy:a}=e,{depthRadius:i,bias:p,alpha:u,beta:c}=o,l=new Ux(n.shape),m=[{type:"int32",data:[i]},{type:"float32",data:[p]},{type:"float32",data:[u]},{type:"float32",data:[c]}];return t.runWebGPUProgram(l,[n,s,a],n.dtype,m)}var qV={kernelName:Ua,backendName:"webgpu",kernelFunc:Rue};var Due=et({opType:fe.MAX,cpuKernelImpl:UB}),jV={kernelName:Bn,backendName:"webgpu",kernelFunc:Due};function Aue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:p}=o,u=1,c=C.computePool2DInfo(n.shape,s,a,u,i,p);return ox(n,c,"max",t)}var XV={kernelName:zn,backendName:"webgpu",kernelFunc:Aue};function Fue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{filterSize:s,strides:a,pad:i,dataFormat:p,dimRoundingMode:u}=o,c=[1,1,1],l=C.computePool3DInfo(n.shape,s,a,c,i,u,p),m=new wu(l,"max"),d=[{type:"int32",data:[l.strideDepth,l.strideHeight,l.strideWidth]},{type:"int32",data:[l.padInfo.front,l.padInfo.top,l.padInfo.left]},{type:"int32",data:[l.inDepth,l.inHeight,l.inWidth]},{type:"int32",data:[l.effectiveFilterDepth,l.effectiveFilterHeight,l.effectiveFilterWidth]}];return t.runWebGPUProgram(m,[n],n.dtype,d)}var YV={kernelName:ra,backendName:"webgpu",kernelFunc:Fue};var Gx=class{constructor(e){this.variableNames=["dy","maxPos"],this.uniforms=`strides : vec2, pads : vec2, dilations : vec2, filterDims : vec2, + outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="maxPool2DBackprop"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords[0]; + let d = coords[3]; + + let dyRCCorner = vec2(coords.yz) - uniforms.pads; + let dyRCorner = dyRCCorner.x; + let dyCCorner = dyRCCorner.y; + + // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] - 1; + for (var wR = 0; wR < uniforms.filterDims[0]; wR += uniforms.dilations[0]) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[0]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[1]; wC += uniforms.dilations[1]) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[1]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyR, idyC, d); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyR, idyC, d)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wR * uniforms.filterDims[1] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + setOutputAtIndex(index, dotProd); + } + } + `}},Hx=class{constructor(e){this.variableNames=["dy","maxPos"],this.uniforms=`strides : vec3, pads : vec3, filterDims : vec3, + outDepth : i32, outHeight : i32, outWidth : i32`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e.inShape,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="maxPool3DBackprop"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getCoordsFromIndex(index); + let batch = coords.x; + let ch = coords.u; + + let dyCorner = vec3(coords.y, coords.z, coords.w) - uniforms.pads; + let dyDCorner = dyCorner.x; + let dyRCorner = dyCorner.y; + let dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + var dotProd = 0.0; + let lastIndex = uniforms.filterDims[0] * uniforms.filterDims[1] * uniforms.filterDims[2] - 1; + + for (var wD = 0; wD < uniforms.filterDims[0]; wD++) { + let dyD = f32(dyDCorner + wD) / f32(uniforms.strides[0]); + + if (dyD < 0.0 || dyD >= f32(uniforms.outDepth) || fract(dyD) > 0.0) { + continue; + } + let idyD = i32(dyD); + + for (var wR = 0; wR < uniforms.filterDims[1]; wR++) { + let dyR = f32(dyRCorner + wR) / f32(uniforms.strides[1]); + + if (dyR < 0.0 || dyR >= f32(uniforms.outHeight) || fract(dyR) > 0.0) { + continue; + } + let idyR = i32(dyR); + + for (var wC = 0; wC < uniforms.filterDims[2]; wC++) { + let dyC = f32(dyCCorner + wC) / f32(uniforms.strides[2]); + + if (dyC < 0.0 || dyC >= f32(uniforms.outWidth) || fract(dyC) > 0.0) { + continue; + } + let idyC = i32(dyC); + + let dyValue = getDy(batch, idyD, idyR, idyC, ch); + let maxPosValue = lastIndex - i32(getMaxPos(batch, idyD, idyR, idyC, ch)); + + // Get the current value, check it against the value from the + // position matrix. + let curPosValue = wD * uniforms.filterDims[1] * uniforms.filterDims[2] + wR * uniforms.filterDims[2] + wC; + let mask = select(0.0, 1.0, maxPosValue == curPosValue); + dotProd += dyValue * mask; + } + } + } + + setOutputAtIndex(index, dotProd); + } + } + `}};function Pue(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s}=e,a=s,{filterSize:i,strides:p,pad:u,dimRoundingMode:c}=o,l=[1,1,1],m=C.computePool3DInfo(a.shape,i,p,l,u,c),d=new wu(m,"max",!0),f=[{type:"int32",data:[m.strideDepth,m.strideHeight,m.strideWidth]},{type:"int32",data:[m.padInfo.front,m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.inDepth,m.inHeight,m.inWidth]},{type:"int32",data:[m.effectiveFilterDepth,m.effectiveFilterHeight,m.effectiveFilterWidth]}],h=t.runWebGPUProgram(d,[a],"int32",f),g=new Hx(m);f=[{type:"int32",data:[m.strideDepth,m.strideHeight,m.strideWidth]},{type:"int32",data:[m.effectiveFilterDepth-1-m.padInfo.front,m.effectiveFilterHeight-1-m.padInfo.top,m.effectiveFilterWidth-1-m.padInfo.left]},{type:"int32",data:[m.effectiveFilterDepth,m.effectiveFilterHeight,m.effectiveFilterWidth]},{type:"int32",data:[m.outDepth]},{type:"int32",data:[m.outHeight]},{type:"int32",data:[m.outWidth]}];let x=t.runWebGPUProgram(g,[n,h],a.dtype,f);return t.disposeData(h.dataId),x}var QV={kernelName:Li,backendName:"webgpu",kernelFunc:Pue};function Oue(r){let{inputs:e,backend:t,attrs:o}=r,{dy:n,input:s,output:a}=e,i=s;cm([s,a],"maxPoolGrad");let{filterSize:p,strides:u,pad:c,dimRoundingMode:l}=o,m=C.computePool2DInfo(i.shape,p,u,1,c,l),d=new Da(m,"max",!0),f=[{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.padInfo.top,m.padInfo.left]},{type:"int32",data:[m.dilationHeight,m.dilationWidth]},{type:"int32",data:[m.inHeight,m.inWidth]},{type:"int32",data:[m.effectiveFilterHeight,m.effectiveFilterWidth]}],h=t.runWebGPUProgram(d,[i],"int32",f),g=new Gx(m);f=[{type:"int32",data:[m.strideHeight,m.strideWidth]},{type:"int32",data:[m.effectiveFilterHeight-1-m.padInfo.top,m.effectiveFilterWidth-1-m.padInfo.left]},{type:"int32",data:[m.dilationHeight,m.dilationWidth]},{type:"int32",data:[m.effectiveFilterHeight,m.effectiveFilterWidth]},{type:"int32",data:[m.outHeight]},{type:"int32",data:[m.outWidth]}];let x=t.runWebGPUProgram(g,[n,h],i.dtype,f);return t.disposeData(h.dataId),x}var ZV={kernelName:Hp,backendName:"webgpu",kernelFunc:Oue};function Mue(r){let{inputs:e,backend:t,attrs:o}=r,{filterSize:n,strides:s,pad:a,includeBatchInIndex:i}=o,{x:p}=e;y.assert(p.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${p.shape.length}.`);let u=[1,1];y.assert(C.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=C.computePool2DInfo(p.shape,n,s,u,a),l=[{type:"int32",data:[c.strideHeight,c.strideWidth]},{type:"int32",data:[c.padInfo.top,c.padInfo.left]},{type:"int32",data:[c.dilationHeight,c.dilationWidth]},{type:"int32",data:[c.inHeight,c.inWidth]},{type:"int32",data:[c.effectiveFilterHeight,c.effectiveFilterWidth]}],m=new Da(c,"max",!1),d=t.runWebGPUProgram(m,[p],p.dtype,l);m=new Da(c,"max",!0,!0,i);let f=t.runWebGPUProgram(m,[p],"int32",l);return[d,f]}var JV={kernelName:Bi,backendName:"webgpu",kernelFunc:Mue};function Lue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,"min",t)}var eW={kernelName:Wn,backendName:"webgpu",kernelFunc:Lue};var Bue=et({opType:fe.MIN,cpuKernelImpl:GB}),tW={kernelName:Un,backendName:"webgpu",kernelFunc:Bue};var Kx=class{constructor(e,t,o){this.uniforms="",this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((n,s)=>n[0]+e[s]+n[1]),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.xShape=e,t.map((n,s)=>{this.uniforms+=` pad${s} : vec2,`}),this.offset=o==="reflect"?0:1,this.shaderKey=`mirrorPad_${o}`}getUserCode(){let e=this.xShape.length,t=this.xShape.map((u,c)=>`uniforms.pad${c}[0]`).join(","),o=this.xShape.map((u,c)=>`uniforms.pad${c}[0] + uniforms.xShape${e>1?`[${c}]`:""}`).join(","),n=e===1?"start":"start[i]",s=e===1?"end":"end[i]",a=e===1?"outC":"outC[i]",i=Nt(e),p=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` + ${K("index")} { if (index < uniforms.size) { let start = ${i}(${t}); let end = ${i}(${o}); @@ -6983,16 +7758,108 @@ return a / b;`,M7=` setOutputAtIndex(index, getX(${p})); } } - `}};var nB={kernelName:vn,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{paddings:n,mode:s}=e,a=t,i=n.map(c=>({type:"int32",data:[c[0],c[1]]})),p=new yx(o.shape,n,s);return a.runWebGPUProgram(p,[o],o.dtype,i)}};var ine=Ze({opType:ge.MOD}),sB={kernelName:ya,backendName:"webgpu",kernelFunc:ine};function une(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.tensorMap.get(o.dataId),[a,i]=mM(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n=new Hr(o.shape,X.NEG);return t.runWebGPUProgram(n,[o],o.dtype)}var aB={kernelName:vs,backendName:"webgpu",kernelFunc:une};function pne(r){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=Vt.nonMaxSuppressionV3Impl(u,c,a,i,p);return t.makeTensorInfo([l.length],"int32",new Int32Array(l))}var iB={kernelName:Tn,backendName:"webgpu",kernelFunc:pne};function cne(r){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=Vt.nonMaxSuppressionV5Impl(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var uB={kernelName:_n,backendName:"webgpu",kernelFunc:cne};var bx=class{constructor(e,t){this.variableNames=["x"],this.uniforms="onValue : f32, offValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="onehot"}getUserCode(){return` - ${Q("index")} { + `}};var rW={kernelName:Gn,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:o}=r,{paddings:n,mode:s}=e,a=t,i=n.map(c=>({type:"int32",data:[c[0],c[1]]})),p=new Kx(o.shape,n,s);return a.runWebGPUProgram(p,[o],o.dtype,i)}};var zue=et({opType:fe.MOD}),oW={kernelName:Ga,backendName:"webgpu",kernelFunc:zue};var qx=class{constructor(e,t){this.variableNames=["probs"],this.outputShape=[],this.uniforms="seed : f32, numOutcomes: i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="multinomial"}getUserCode(){return` + //Based on the work of Dave Hoskins + //https://www.shadertoy.com/view/4djSRW + fn random (seed : f32, resultUV : vec2) -> f32 { + let HASHSCALE1 = 443.8975; + let p = resultUV * seed; + var p3 = fract(vec3(p.xyx) * HASHSCALE1); + p3 = p3 + dot(p3, p3.yzx + 19.19); + return fract((p3.x + p3.y) * p3.z); + } + + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let batch = coords[0]; + + let resUV = vec2(f32(coords[1]) / f32(uniforms.outShape[1]), + f32(coords[0]) / f32(uniforms.outShape[0])); + let r = random(uniforms.seed, resUV); + var cdf = 0.0; + for (var i = 0; i < uniforms.numOutcomes - 1; i = i + 1) { + cdf = cdf + getProbs(batch, i); + + if (r < cdf) { + setOutputAtIndexI32(index, i); + return; + } + } + + // If no other event happened, last event happened. + setOutputAtIndexI32(index, uniforms.numOutcomes - 1); + } + } + `}};var jx=class{constructor(e){this.variableNames=["logits"],this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=[this.outputShape[0],1,1],this.outputShape[1]>=4096?this.workgroupSize=[256,1,1]:this.workgroupSize=[64,1,1],this.shaderKey="softmax"}getUserCode(){return` + var buf : array; + var rowMaxShared : f32; + var rowSumShared : f32; + const blockSize = ${this.workgroupSize[0]}; + ${K("index")} { + let row = index / blockSize; + let tid = i32(localId.x); + let cols = uniforms.outShape[1]; + + var threadMax = -3.402823e+38f; + for (var col = tid; col < cols; col += blockSize) { + let value = getLogits(row, col); + threadMax = max(threadMax, value); + } + if (tid < cols) { + buf[tid] = threadMax; + } + workgroupBarrier(); + + var reduceSize = min(cols, blockSize); + for (var currSize = reduceSize >> 1; currSize > 0; currSize = reduceSize >> 1) { + reduceSize = currSize + (reduceSize & 1); + if (tid < currSize) { + buf[tid] = max(buf[tid], buf[tid + reduceSize]); + } + workgroupBarrier(); + } + + if (tid == 0) { + rowMaxShared = buf[0]; + } + workgroupBarrier(); + + var threadSum = 0.0; + for (var col = tid; col < cols; col += blockSize) { + let subExp = exp(getLogits(row, col) - rowMaxShared); + threadSum += subExp; + } + buf[tid] = threadSum; + workgroupBarrier(); + + for (var currSize = blockSize >> 1; currSize > 0; currSize = currSize >> 1) { + if (tid < currSize) { + buf[tid] = buf[tid] + buf[tid + currSize]; + } + workgroupBarrier(); + } + + if (tid == 0) { + rowSumShared = buf[0]; + } + workgroupBarrier(); + + for (var col = tid; col < cols; col += blockSize) { + let value = exp(getLogits(row, col) - rowMaxShared) / rowSumShared; + setOutputAtCoords(row, col, value); + } + } + `}};function Kv(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{dim:s}=o,a=pe({inputs:{x:n},backend:t,attrs:{shape:[y.sizeFromShape(n.shape)/n.shape[s],n.shape[s]]}}),i=new jx(a.shape),p=t.runWebGPUProgram(i,[a],n.dtype),u=pe({inputs:{x:p},backend:t,attrs:{shape:n.shape}});return t.disposeData(a.dataId),t.disposeData(p.dataId),u}var nW={kernelName:bs,backendName:"webgpu",kernelFunc:Kv};function Vue(r){let{inputs:e,backend:t,attrs:o}=r,{logits:n}=e,{numSamples:s,seed:a,normalized:i}=o,p=i?n:Kv({inputs:{logits:n},backend:t,attrs:{dim:n.shape.length-1}}),u=p.shape[0],c=p.shape[1],l=new qx(u,s),m=[{type:"float32",data:[a]},{type:"int32",data:[c]}],d=t.runWebGPUProgram(l,[p],"int32",m);return i||t.disposeData(p.dataId),d}var sW={kernelName:Hn,backendName:"webgpu",kernelFunc:Vue};function Wue(r){let{inputs:e,backend:t}=r,{x:o}=e;if(t.shouldExecuteOnCPU([o])){let s=t.tensorMap.get(o.dataId),[a,i]=KB(s.values,o.shape,o.dtype);return t.makeTensorInfo(i,o.dtype,a)}let n=new Xr(o.shape,Q.NEG);return t.runWebGPUProgram(n,[o],o.dtype)}var aW={kernelName:oa,backendName:"webgpu",kernelFunc:Wue};function Uue(r){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p}=o,u=t.readSync(n.dataId),c=t.readSync(s.dataId),{selectedIndices:l}=Wt.nonMaxSuppressionV3Impl(u,c,a,i,p);return t.makeTensorInfo([l.length],"int32",new Int32Array(l))}var iW={kernelName:jn,backendName:"webgpu",kernelFunc:Uue};function Gue(r){console.warn("tf.nonMaxSuppression() in webgpu locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:o}=r,{boxes:n,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:p,softNmsSigma:u}=o,c=t.readSync(n.dataId),l=t.readSync(s.dataId),m=a,d=i,f=p,h=u,{selectedIndices:g,selectedScores:x}=Wt.nonMaxSuppressionV5Impl(c,l,m,d,f,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var uW={kernelName:Xn,backendName:"webgpu",kernelFunc:Gue};var Xx=class{constructor(e,t){this.variableNames=["x"],this.uniforms="onValue : f32, offValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e,t],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="onehot"}getUserCode(){return` + ${K("index")} { if(index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, mix(uniforms.offValue, uniforms.onValue, f32(i32(round(getX(coords.x))) == coords.y))); } } - `}};function lne(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new bx(u,a),l=me({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=[{type:"float32",data:[i]},{type:"float32",data:[p]}],d=t.runWebGPUProgram(c,[l],s,m);t.disposeData(l.dataId);let f=[...n.shape,a],h=me({inputs:{x:d},backend:t,attrs:{shape:f}});return t.disposeData(d.dataId),h}var pB={kernelName:$n,backendName:"webgpu",kernelFunc:lne};function Xl(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="complex64"){let n=Xa({inputs:{input:o},backend:t}),s=Xl({inputs:{x:n},backend:t}),a=Qu({inputs:{input:o},backend:t}),i=Xl({inputs:{x:a},backend:t}),p=po({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return fr({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype==="string"?"":0},backend:t})}var cB={kernelName:Os,backendName:"webgpu",kernelFunc:Xl};function lB(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(o.dtype==="complex64"){let n=Xa({inputs:{input:o},backend:t}),s=lB({inputs:{x:n},backend:t}),a=Qu({inputs:{input:o},backend:t}),i=Xl({inputs:{x:a},backend:t}),p=po({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return fr({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var mB={kernelName:ks,backendName:"webgpu",kernelFunc:lB};function mne(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return ix({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=ix({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=wI({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var dB={kernelName:Ns,backendName:"webgpu",kernelFunc:mne};var Cx=class{constructor(e,t){this.variableNames=["x"],this.uniforms="constantValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((o,n)=>o[0]+e[n]+o[1]),this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((o,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey="pad"}getUserCode(){let e=this.xShape.length,t=Rt(e),o=this.xShape.map((l,m)=>`uniforms.pad${m}[0]`).join(","),n=this.xShape.map((l,m)=>`uniforms.pad${m}[0] + uniforms.xShape${e>1?`[${m}]`:""}`).join(","),s=e>1?`${t}(${o})`:`${o}`,a=e>1?`${t}(${n})`:`${n}`,i=e>1?"any(outC < start)":"outC < start",p=e>1?"any(outC >= end)":"outC >= end",u=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` - ${Q("index")} { + `}};function Hue(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n}=e,{dtype:s,depth:a,onValue:i,offValue:p}=o,u=y.sizeFromShape(n.shape),c=new Xx(u,a),l=pe({inputs:{x:n},backend:t,attrs:{shape:[u]}}),m=[{type:"float32",data:[i]},{type:"float32",data:[p]}],d=t.runWebGPUProgram(c,[l],s,m);t.disposeData(l.dataId);let f=[...n.shape,a],h=pe({inputs:{x:d},backend:t,attrs:{shape:f}});return t.disposeData(d.dataId),h}var pW={kernelName:Yn,backendName:"webgpu",kernelFunc:Hue};function hm(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="complex64"){let n=Ci({inputs:{input:o},backend:t}),s=hm({inputs:{x:n},backend:t}),a=Ep({inputs:{input:o},backend:t}),i=hm({inputs:{x:a},backend:t}),p=fo({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return Vt({attrs:{shape:o.shape,dtype:o.dtype,value:o.dtype==="string"?"":0},backend:t})}var cW={kernelName:fa,backendName:"webgpu",kernelFunc:hm};function lW(r){let{inputs:e,backend:t}=r,{x:o}=e;if(o.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(o.dtype==="complex64"){let n=Ci({inputs:{input:o},backend:t}),s=lW({inputs:{x:n},backend:t}),a=Ep({inputs:{input:o},backend:t}),i=hm({inputs:{x:a},backend:t}),p=fo({inputs:{real:s,imag:i},backend:t});return t.disposeData(n.dataId),t.disposeData(s.dataId),t.disposeData(a.dataId),t.disposeData(i.dataId),p}else return Vt({attrs:{shape:o.shape,dtype:o.dtype,value:1},backend:t})}var mW={kernelName:na,backendName:"webgpu",kernelFunc:lW};function Kue(r){let{inputs:e,backend:t,attrs:o}=r,{axis:n}=o;if(e.length===1)return Ax({inputs:{input:e[0]},backend:t,attrs:{dim:n}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],p=e.map(c=>{let l=Ax({inputs:{input:c},backend:t,attrs:{dim:n}});return i.push(l),l}),u=Vv({inputs:p,backend:t,attrs:{axis:n}});return i.forEach(c=>t.disposeData(c.dataId)),u}var dW={kernelName:sa,backendName:"webgpu",kernelFunc:Kue};var Yx=class{constructor(e,t){this.variableNames=["x"],this.uniforms="constantValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t.map((o,n)=>o[0]+e[n]+o[1]),this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),t.map((o,n)=>{this.uniforms+=` pad${n} : vec2,`}),this.xShape=e,this.shaderKey="pad"}getUserCode(){let e=this.xShape.length,t=Nt(e),o=this.xShape.map((l,m)=>`uniforms.pad${m}[0]`).join(","),n=this.xShape.map((l,m)=>`uniforms.pad${m}[0] + uniforms.xShape${e>1?`[${m}]`:""}`).join(","),s=e>1?`${t}(${o})`:`${o}`,a=e>1?`${t}(${n})`:`${n}`,i=e>1?"any(outC < start)":"outC < start",p=e>1?"any(outC >= end)":"outC >= end",u=e>1?["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,e):"coords";return` + ${K("index")} { if (index < uniforms.size) { let start = ${s}; let end = ${a}; @@ -7006,8 +7873,8 @@ return a / b;`,M7=` } } } - `}};var TI=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(s.every(u=>y.arraysEqual(u,[0,0])))return Dt({inputs:{x:n},backend:t});if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return fr({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=[{type:"float32",data:[a]}];s.map(u=>i.push({type:"int32",data:[u[0],u[1]]}));let p=new Cx(n.shape,s);return t.runWebGPUProgram(p,[n],n.dtype,i)},fB={kernelName:En,backendName:"webgpu",kernelFunc:TI};var dne=Ze({opType:ge.POW}),hB={kernelName:An,backendName:"webgpu",kernelFunc:dne};function fne(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=new Yu(ge.PRELU,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],"float32")}var gB={kernelName:Rn,backendName:"webgpu",kernelFunc:fne};function hne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Kr(n,s,a,"prod",t)}var xB={kernelName:Dn,backendName:"webgpu",kernelFunc:hne};var gne=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=hM(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},yB={kernelName:Ts,backendName:"webgpu",kernelFunc:gne};var _I=Ze({opType:ge.DIV}),bB={kernelName:Zo,backendName:"webgpu",kernelFunc:_I};var xne=xe({opType:X.RECIPROCAL}),CB={kernelName:Fn,backendName:"webgpu",kernelFunc:xne};var yne=xe({opType:X.RELU}),SB={kernelName:On,backendName:"webgpu",kernelFunc:yne};var bne=xe({opType:X.RELU6}),wB={kernelName:Ln,backendName:"webgpu",kernelFunc:bne};var Sx=class{constructor(e,t,o){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, halfPixelCenters : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="resizeBilinear"}getUserCode(){return` - ${Q("index")} { + `}};var qv=r=>{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{paddings:s,constantValue:a}=o;if(s.every(u=>y.arraysEqual(u,[0,0])))return At({inputs:{x:n},backend:t});if(y.sizeFromShape(n.shape)===0){let u=s.map((c,l)=>c[0]+n.shape[l]+c[1]);return Vt({backend:t,attrs:{shape:u,value:a,dtype:n.dtype}})}let i=[{type:"float32",data:[a]}];s.map(u=>i.push({type:"int32",data:[u[0],u[1]]}));let p=new Yx(n.shape,s);return t.runWebGPUProgram(p,[n],n.dtype,i)},fW={kernelName:Qn,backendName:"webgpu",kernelFunc:qv};var que=et({opType:fe.POW}),hW={kernelName:Zn,backendName:"webgpu",kernelFunc:que};function jue(r){let{inputs:e,backend:t}=r,{x:o,alpha:n}=e,s=new bi(fe.PRELU,o.shape,n.shape);return t.runWebGPUProgram(s,[o,n],"float32")}var gW={kernelName:Jn,backendName:"webgpu",kernelFunc:jue};function Xue(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{axis:s,keepDims:a}=o;return Yr(n,s,a,"prod",t)}var xW={kernelName:es,backendName:"webgpu",kernelFunc:Xue};var Yue=r=>{let{backend:e,attrs:t}=r,{start:o,stop:n,step:s,dtype:a}=t,i=XB(o,n,s,a);return e.makeTensorInfo([i.length],a,i)},yW={kernelName:aa,backendName:"webgpu",kernelFunc:Yue};var Que=et({opType:fe.DIV}),bW={kernelName:dn,backendName:"webgpu",kernelFunc:Que};var Zue=xe({opType:Q.RECIPROCAL}),CW={kernelName:ts,backendName:"webgpu",kernelFunc:Zue};var Jue=xe({opType:Q.RELU}),wW={kernelName:rs,backendName:"webgpu",kernelFunc:Jue};var epe=xe({opType:Q.RELU6}),SW={kernelName:ss,backendName:"webgpu",kernelFunc:epe};var Qx=class{constructor(e,t,o){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, halfPixelCenters : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="resizeBilinear"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -7049,8 +7916,83 @@ return a / b;`,M7=` setOutputAtIndex(index, newValue); } } - `}};function Cne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,size:a,halfPixelCenters:i}=o,[p,u]=a,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:"float32",data:[c,l]},{type:"float32",data:[i?.5:0]}],f=new Sx(n.shape,p,u);return t.runWebGPUProgram(f,[n],"float32",d)}var IB={kernelName:Mn,backendName:"webgpu",kernelFunc:Cne};var wx=class{constructor(e,t,o,n){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, roundBase : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e="max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":e="vec2(rc) * effectiveInputOverOutputRatioRC",` - ${Q("index")} { + `}};function tpe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,size:a,halfPixelCenters:i}=o,[p,u]=a,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:"float32",data:[c,l]},{type:"float32",data:[i?.5:0]}],f=new Qx(n.shape,p,u);return t.runWebGPUProgram(f,[n],"float32",d)}var IW={kernelName:ns,backendName:"webgpu",kernelFunc:tpe};var Zx=class{constructor(e,t){this.variableNames=["dy"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, heightScale : f32, widthScale : f32, + invHeightScale : f32, invWidthScale : f32, winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeBilinearBackprop_${t}`}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(startRLerp - f32(uniforms.winHeight / 2)); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(startCLerp - f32(uniforms.winWidth / 2)); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let dxR = f32(dyR) * uniforms.heightScale; + let topDxRIndex = i32(floor(dxR)); + let bottomDxRIndex = i32(min(ceil(dxR), f32(uniforms.outShape[1] - 1))); + let dxRLerp = dxR - f32(topDxRIndex); + let inverseDxRLerp = 1.0 - dxRLerp; + + let dxC = f32(dyC) * uniforms.widthScale; + let leftDxCIndex = i32(floor(dxC)); + let rightDxCIndex = i32(min(ceil(dxC), f32(uniforms.outShape[2] - 1))); + let dxCLerp = dxC - f32(leftDxCIndex); + let inverseDxCLerp = 1.0 - dxCLerp; + + if (r == topDxRIndex && c == leftDxCIndex) { + // topLeft + accumulator += + getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp; + } + + if (r == topDxRIndex && c == rightDxCIndex) { + // topRight + accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp; + } + + if (r == bottomDxRIndex && c == leftDxCIndex) { + // bottomLeft + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp; + } + + if (r == bottomDxRIndex && c == rightDxCIndex) { + // bottomRight + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp; + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `}};function rpe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,[,i,p]=n.shape,[,u,c]=s.shape,l=[a&&u>1?i-1:i,a&&c>1?p-1:p],m=[a&&u>1?u-1:u,a&&c>1?c-1:c],d=l[0]/m[0],f=l[1]/m[1],h=1/d,g=1/f,x=Math.ceil(h)*2+2,b=Math.ceil(g)*2+2,w=new Zx(n.shape,a),S=[{type:"int32",data:l},{type:"int32",data:m},{type:"float32",data:[d]},{type:"float32",data:[f]},{type:"float32",data:[h]},{type:"float32",data:[g]},{type:"int32",data:[x]},{type:"int32",data:[b]}];return t.runWebGPUProgram(w,[s],s.dtype,S)}var vW={kernelName:qa,backendName:"webgpu",kernelFunc:rpe};var Jx=class{constructor(e,t,o,n){this.variableNames=["x"],this.uniforms="adjustHeightWidth : vec2, roundBase : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=[e[0],t,o,e[3]],this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.halfPixelCenters=n,this.shaderKey=`resizeNearest_${n}`}getUserCode(){let e;return this.halfPixelCenters?e="max((vec2(rc) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":e="vec2(rc) * effectiveInputOverOutputRatioRC",` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let b = coords[0]; @@ -7080,7 +8022,67 @@ return a / b;`,M7=` setOutputAtIndex(index, newValue); } } - `}};function Sne(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:"float32",data:[c,l]},{type:"float32",data:[s?.5:0]}],f=new wx(n.shape,p,u,a);return t.runWebGPUProgram(f,[n],n.dtype,d)}var vB={kernelName:Pn,backendName:"webgpu",kernelFunc:Sne};var Ix=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=" axis : vec4,",this.shaderKey="reverse"}getUserCode(){return` + `}};function ope(r){let{inputs:e,backend:t,attrs:o}=r,{images:n}=e,{alignCorners:s,halfPixelCenters:a,size:i}=o,[p,u]=i,c=s&&p>1?1:0,l=s&&u>1?1:0,d=[{type:"float32",data:[c,l]},{type:"float32",data:[s?.5:0]}],f=new Jx(n.shape,p,u,a);return t.runWebGPUProgram(f,[n],n.dtype,d)}var kW={kernelName:os,backendName:"webgpu",kernelFunc:ope};var ey=class{constructor(e,t){this.variableNames=["dy"],this.uniforms=`effectiveXSize : vec2, effectiveYSize : vec2, invHeightScale : f32, invWidthScale : f32, + winHeight : i32, winWidth : i32,`,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.alignCorners=t,this.shaderKey=`resizeNearestNeigborBackprop_${t}`}getUserCode(){return` + ${K("index")} { + if (index < uniforms.size) { + let coords = getOutputCoords(); + let b = coords[0]; + let d = coords[3]; + let r = coords[1]; + let c = coords[2]; + + var accumulator = 0.0; + + // Compute bounds for where in dy we will look + let startRLerp = floor(f32(r) * uniforms.invHeightScale); + let startDyR = i32(floor(startRLerp - f32(uniforms.winHeight / 2))); + + let startCLerp = floor(f32(c) * uniforms.invWidthScale); + let startDyC = i32(floor(startCLerp - f32(uniforms.winWidth / 2))); + + // Loop over dy + for (var dyROffset = 0; dyROffset < uniforms.winHeight; dyROffset++) { + let dyR = startDyR + dyROffset; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= uniforms.dyShape[1]) { + continue; + } + + for (var dyCOffset = 0; dyCOffset < uniforms.winWidth; dyCOffset++) { + let dyC = startDyC + dyCOffset; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= uniforms.dyShape[2]) { + continue; + } + + let sourceFracRow = f32(uniforms.effectiveXSize[0]) * + (f32(dyR) / f32(uniforms.effectiveYSize[0])); + + let sourceFracCol = f32(uniforms.effectiveXSize[1]) * + (f32(dyC) / f32(uniforms.effectiveYSize[1])); + + let sourceNearestRow = + i32(min(f32(uniforms.outShape[1] - 1), + ${this.alignCorners?"floor(sourceFracRow + 0.5)":"floor(sourceFracRow)"})); + + let sourceNearestCol = + i32(min(f32(uniforms.outShape[2] - 1), + ${this.alignCorners?"floor(sourceFracCol + 0.5)":"floor(sourceFracCol)"})); + + if (r == sourceNearestRow && c == sourceNearestCol) { + accumulator += getDy(b, dyR, dyC, d); + } + } + } + // End loop over dy + + setOutputAtIndex(index, accumulator); + } + } + `}};function npe(r){let{inputs:e,backend:t,attrs:o}=r,{images:n,dy:s}=e,{alignCorners:a}=o,[,i,p]=n.shape,[,u,c]=s.shape,l=[a&&u>1?i-1:i,a&&c>1?p-1:p],m=[a&&u>1?u-1:u,a&&c>1?c-1:c],d=l[0]/m[0],f=l[1]/m[1],h=1/d,g=1/f,x=Math.ceil(h)*2+2,b=Math.ceil(g)*2+2,w=new ey(n.shape,a),S=[{type:"int32",data:l},{type:"int32",data:m},{type:"float32",data:[h]},{type:"float32",data:[g]},{type:"int32",data:[x]},{type:"int32",data:[b]}];return t.runWebGPUProgram(w,[s],s.dtype,S)}var NW={kernelName:Ka,backendName:"webgpu",kernelFunc:npe};var ty=class{constructor(e){this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=" axis : vec4,",this.shaderKey="reverse"}getUserCode(){return` // Using uniform variables as judging conditions, so the function has // coherent execution within all threads. @@ -7102,7 +8104,7 @@ return a / b;`,M7=` return reverseCoords; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let reverseCoords = getReverseCoords(coords); @@ -7110,9 +8112,9 @@ return a / b;`,M7=` reverseCoords[1], reverseCoords[2], reverseCoords[3])); } } - `}};function wne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length;if(a===0)return Dt({inputs:{x:n},backend:t});let i=n.shape,p=[1,1,1,1];i.forEach((g,x)=>{let b=x+4-a;p[b]=g});let u=y.parseAxisParam(s,n.shape),c=[0,0,0,0];u.forEach(g=>{let x=g+4-a;c[x]=1});let l=[{type:"int32",data:c}],m=me({inputs:{x:n},backend:t,attrs:{shape:p}}),d=new Ix(p),f=t.runWebGPUProgram(d,[m],m.dtype,l);t.disposeData(m.dataId);let h=me({inputs:{x:f},backend:t,attrs:{shape:i}});return t.disposeData(f.dataId),h}var kB={kernelName:Bn,backendName:"webgpu",kernelFunc:wne};var vx=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32, + `}};function spe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{dims:s}=o,a=n.shape.length;if(a===0)return At({inputs:{x:n},backend:t});let i=n.shape,p=[1,1,1,1];i.forEach((g,x)=>{let b=x+4-a;p[b]=g});let u=y.parseAxisParam(s,n.shape),c=[0,0,0,0];u.forEach(g=>{let x=g+4-a;c[x]=1});let l=[{type:"int32",data:c}],m=pe({inputs:{x:n},backend:t,attrs:{shape:p}}),d=new ty(p),f=t.runWebGPUProgram(d,[m],m.dtype,l);t.disposeData(m.dataId);let h=pe({inputs:{x:f},backend:t,attrs:{shape:i}});return t.disposeData(f.dataId),h}var TW={kernelName:as,backendName:"webgpu",kernelFunc:spe};var ry=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`centerX : f32, centerY : f32, sinRadians : f32, cosRadians : f32,`,this.shaderKey="rotate",this.outputShape=e,typeof t=="number"?(this.uniforms+=" fillValue : f32,",this.fillSnippet="var outputValue = uniforms.fillValue;",this.shaderKey+="_float"):(this.uniforms+=" fillValue : vec3,",this.fillSnippet="var outputValue = uniforms.fillValue[coords[3]];",this.shaderKey+="_vec3")}getUserCode(){return` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let coordXFloat = (f32(coords[2]) - uniforms.centerX) * @@ -7131,7 +8133,7 @@ return a / b;`,M7=` setOutputAtIndex(index, outputValue); } } - `}};var NB={kernelName:ts,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new vx(o.shape,s),[u,c]=S.getImageCenter(a,o.shape[1],o.shape[2]),l=[{type:"float32",data:[u]},{type:"float32",data:[c]},{type:"float32",data:[Math.sin(n)]},{type:"float32",data:[Math.cos(n)]}];return typeof s=="number"?l.push({type:"float32",data:[Number.parseFloat(s.toFixed(2))]}):l.push({type:"float32",data:s}),i.runWebGPUProgram(p,[o],o.dtype,l)}};var Ine=xe({opType:X.ROUND}),TB={kernelName:Vn,backendName:"webgpu",kernelFunc:Ine};var vne=xe({opType:X.RSQRT,cpuKernelImpl:gM}),_B={kernelName:zn,backendName:"webgpu",kernelFunc:vne};var Hi=class{constructor(e,t,o,n,s,a,i,p=!0){this.variableNames=["updates","indices"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=a,this.type=i,this.sumDupeIndices=p,this.dispatchLayout=ae(e),this.dispatch=Y(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`;let u=Rt(s.length);this.uniforms=`sliceDim : i32, strides: ${u}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=o}getUserCode(){let e="";this.indicesRank===1?e="coords[0]":this.indicesRank===2&&(e="coords[0], j");let t=`getIndices(${e})`,o=this.sliceDimGreaterThanOne?"uniforms.strides[j]":"uniforms.strides",n="",s="";this.dispatchLayout.x.length===1?(n="flattenedIndex",s=` + `}};var _W={kernelName:_s,backendName:"webgpu",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:o}=r,{radians:n,fillValue:s,center:a}=e,i=t,p=new ry(o.shape,s),[u,c]=C.getImageCenter(a,o.shape[1],o.shape[2]),l=[{type:"float32",data:[u]},{type:"float32",data:[c]},{type:"float32",data:[Math.sin(n)]},{type:"float32",data:[Math.cos(n)]}];return typeof s=="number"?l.push({type:"float32",data:[Number.parseFloat(s.toFixed(2))]}):l.push({type:"float32",data:s}),i.runWebGPUProgram(p,[o],o.dtype,l)}};var ape=xe({opType:Q.ROUND}),$W={kernelName:is,backendName:"webgpu",kernelFunc:ape};var ipe=xe({opType:Q.RSQRT,cpuKernelImpl:YB}),EW={kernelName:us,backendName:"webgpu",kernelFunc:ipe};var Aa=class{constructor(e,t,o,n,s,a,i,p=!0){this.variableNames=["updates","indices"],this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=a,this.type=i,this.sumDupeIndices=p,this.dispatchLayout=Z(e),this.dispatch=q(this.dispatchLayout,e,this.workgroupSize),this.sliceDimGreaterThanOne=t>1,this.shaderKey=`scatter_${o}_${n}_${this.sliceDimGreaterThanOne}_${i}_${p}`;let u=Nt(s.length);this.uniforms=`sliceDim : i32, strides: ${u}, updatesSize: i32,`,this.updatesRank=n,this.indicesRank=o}getUserCode(){let e="";this.indicesRank===1?e="coords[0]":this.indicesRank===2&&(e="coords[0], j");let t=`getIndices(${e})`,o=this.sliceDimGreaterThanOne?"uniforms.strides[j]":"uniforms.strides",n="",s="";this.dispatchLayout.x.length===1?(n="flattenedIndex",s=` fn getUpdatesCoordsFromFlatIndex(index : i32) -> i32 { return index; } @@ -7148,7 +8150,7 @@ return a / b;`,M7=` } `);let i=`getUpdates(${Array.from({length:this.updatesRank},(u,c)=>`coords[${c}]`).join(", ")})`;return` ${s} - ${Q("index")} { + ${K("index")} { if (index < uniforms.updatesSize) { let coords = getUpdatesCoordsFromFlatIndex(index); var flattenedIndex = 0; @@ -7157,12 +8159,12 @@ return a / b;`,M7=` flattenedIndex = flattenedIndex + indexInside * ${o}; } let updateValue = - ${vc(this.type,!1)}(${i}); + ${kp(this.type)}(${i}); let flatIndex = getOutputIndexFromCoords(${n}); - ${this.sumDupeIndices?Ic("&result[flatIndex]","updateValue",this.type):"atomicStore(&result[flatIndex], bitcast(updateValue));"} + ${this.sumDupeIndices?Bs("&result[flatIndex]","updateValue",this.type):"atomicStore(&result[flatIndex], bitcast(updateValue));"} } - }`}};function kne(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=S.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=me({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=me({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=f.dtype,g=fr({backend:t,attrs:{shape:m,value:0,dtype:h}}),x=y.sizeFromShape(f.shape),b=[{type:"int32",data:[i]},{type:"int32",data:c},{type:"int32",data:[x]}],C=new Hi(f.shape,i,d.shape.length,f.shape.length,c,m,h),w=t.runWebGPUProgram(C,[f,d],h,b,g),k=me({inputs:{x:w},backend:t,attrs:{shape:a}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(w.dataId),k}var $B={kernelName:Wn,backendName:"webgpu",kernelFunc:kne};var kx=class{constructor(e,t){this.outputShape=[],this.variableNames=["sortedSequence","values"],this.uniforms="numInputs : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return` + }`}};function upe(r){let{inputs:e,backend:t,attrs:o}=r,{indices:n,updates:s}=e,{shape:a}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(s,n,a),m=[l/u,u];if(l===0)return t.makeTensorInfo(a,n.dtype);let d=pe({inputs:{x:n},backend:t,attrs:{shape:[p,i]}}),f=pe({inputs:{x:s},backend:t,attrs:{shape:[p,u]}}),h=f.dtype,g=Vt({backend:t,attrs:{shape:m,value:0,dtype:h}}),x=y.sizeFromShape(f.shape),b=[{type:"int32",data:[i]},{type:"int32",data:c},{type:"int32",data:[x]}],w=new Aa(f.shape,i,d.shape.length,f.shape.length,c,m,h),S=t.runWebGPUProgram(w,[f,d],h,b,g),k=pe({inputs:{x:S},backend:t,attrs:{shape:a}});return t.disposeData(d.dataId),t.disposeData(f.dataId),t.disposeData(S.dataId),k}var RW={kernelName:ps,backendName:"webgpu",kernelFunc:upe};var oy=class{constructor(e,t){this.outputShape=[],this.variableNames=["sortedSequence","values"],this.uniforms="numInputs : i32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.side=t,this.shaderKey=`search_sorted_${t}`}getUserCode(){return` fn findBound(batch: i32, value: f32) -> i32 { var left = i32(0); var right = uniforms.numInputs; @@ -7177,15 +8179,15 @@ return a / b;`,M7=` return right; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); let value = getValuesByOutputIndex(index); setOutputAtIndexI32(index, findBound(coords[0], value)); } } - `}};function Nne(r){let{inputs:e,backend:t,attrs:o}=r,{sortedSequence:n,values:s}=e,{side:a}=o,i=new kx([s.shape[0],s.shape[1]],a),p=[{type:"int32",data:[n.shape[1]]}];return t.runWebGPUProgram(i,[n,s],"int32",p)}var EB={kernelName:fi,backendName:"webgpu",kernelFunc:Nne};var Nx=class{constructor(e,t,o){this.variableNames=["c","a","b"],this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=t,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.cRank=e,this.rank=o,this.shaderKey="select"}getUserCode(){let e,t;if(this.rank>4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t="resRC",e="resRC";else{let n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],a=[];for(let i=0;i4)throw Error(`Where for rank ${this.rank} is not yet supported`);if(this.rank===1)t="resRC",e="resRC";else{let n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],a=[];for(let i=0;i{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeData(x.dataId)),g},VB={kernelName:As,backendName:"webgpu",kernelFunc:One};var Tx=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n{let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{blockShape:s,paddings:a}=o;y.assert(n.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGPU backend not implemented yet");let i=s.reduce((x,b)=>x*b),p=[[0,0]];p.push(...a);for(let x=1+s.length;xt.disposeData(x.dataId)),g},zW={kernelName:ca,backendName:"webgpu",kernelFunc:xpe};var sy=class{constructor(e,t){this.variableNames=["A"],this.workgroupSize=[64,1,1],this.size=!0;let o=new Array(e.length);for(let n=0;n=5)throw Error(`Tile for rank ${r} is not yet supported`);if(r===1)return`(resRC % ${e}aShape)`;let t=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[];for(let n=0;n=5){let p=t.readSync(n.dataId),u=n.dtype==="string"?p.map(m=>y.decodeString(m)):p,c=le(n.shape,n.dtype,u),l=IM(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new Tx(n.shape,s);return t.runWebGPUProgram(a,[n],n.dtype)}var zB={kernelName:to,backendName:"webgpu",kernelFunc:EI};function Mne(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=S.calculateShapes(s,n,i),d=!1;if(s.dtype==="string"){let A=t.bufferSync(n),R=t.bufferSync(s),D=y.decodeString(t.readSync(a.dataId)[0]),P=xM(A,R,i,m,c,u,p,l,D,d);return t.makeTensorInfo(i,P.dtype,P.values)}let f=[m/c,c],h=me({inputs:{x:n},backend:t,attrs:{shape:[u,p]}}),g=s.shape.length?me({inputs:{x:s},backend:t,attrs:{shape:[u,c]}}):Dt({inputs:{x:s},backend:t}),x=g.dtype,b=t.makeTensorInfo([],x,y.makeZerosTypedArray(1,x)),C=me({inputs:{x:a},backend:t,attrs:{shape:Array(f.length).fill(1)}}),w=EI({inputs:{x:C},backend:t,attrs:{reps:f}}),k=y.sizeFromShape([u,c]),_=[{type:"int32",data:[p]},{type:"int32",data:l},{type:"int32",data:[k]}];switch(u){case 0:break;case 1:{let A=new Hi([u,c],p,h.shape.length,g.shape.length,l,f,x,d);t.runWebGPUProgram(A,[g,h],x,_,w)}break;default:{let A=new Hi([u,c],p,h.shape.length,b.shape.length,l,f,x,d);t.runWebGPUProgram(A,[b,h],x,_,w)}{let A=new Hi([u,c],p,h.shape.length,g.shape.length,l,f,x);t.runWebGPUProgram(A,[g,h],x,_,w)}}let E=me({inputs:{x:w},backend:t,attrs:{shape:i}});return t.disposeData(h.dataId),t.disposeData(g.dataId),t.disposeData(C.dataId),t.disposeData(b.dataId),t.disposeData(w.dataId),E}var WB={kernelName:yi,backendName:"webgpu",kernelFunc:Mne};function Lne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=S.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=fs({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var UB={kernelName:Rs,backendName:"webgpu",kernelFunc:Lne};var Bne=xe({opType:X.SQRT}),GB={kernelName:Hn,backendName:"webgpu",kernelFunc:Bne};var HB={kernelName:bi,backendName:"webgpu",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e,n=new Hr(t.shape,X.SQUARE);return o.runWebGPUProgram(n,[t],t.dtype)}};var Vne=Ze({opType:ge.SQUARED_DIFFERENCE}),KB={kernelName:jn,backendName:"webgpu",kernelFunc:Vne};function zne({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=new Hr(o.shape,X.STEP,"stepAlpha : f32,"),s=[{type:"float32",data:[e.alpha]}];return t.runWebGPUProgram(n,[o],o.dtype,s)}var qB={kernelName:fo,backendName:"webgpu",kernelFunc:zne};var _x=class{constructor(e){this.variableNames=["x"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=Rt(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey="stridedSlice"}getUserCode(){let e=this.outputShape.length,t="";if(e===1)t="coords * uniforms.strides + uniforms.begin";else{let n=0;t=this.outputShape.map((s,a)=>(n++,this.outputShape.length===1?`coords * uniforms.strides[${a}] + uniforms.begin[${a}]`:`coords[${n-1}] * uniforms.strides[${a}] + uniforms.begin[${a}]`)).join(",")}return` - ${Q("index")} { + `}};function ype(r,e=""){if(r>=5)throw Error(`Tile for rank ${r} is not yet supported`);if(r===1)return`(resRC % ${e}aShape)`;let t=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[];for(let n=0;n=5){let p=t.readSync(n.dataId),u=n.dtype==="string"?p.map(m=>y.decodeString(m)):p,c=me(n.shape,n.dtype,u),l=oz(c,s);return t.makeTensorInfo(l.shape,l.dtype,l.values)}let a=new sy(n.shape,s);return t.runWebGPUProgram(a,[n],n.dtype)}var VW={kernelName:so,backendName:"webgpu",kernelFunc:gm};function bpe(r){let{inputs:e,backend:t,attrs:o}=r,{sparseIndices:n,sparseValues:s,defaultValue:a}=e,{outputShape:i}=o,{sliceRank:p,numUpdates:u,sliceSize:c,strides:l,outputSize:m}=C.calculateShapes(s,n,i),d=!1;if(s.dtype==="string"){let R=t.bufferSync(n),D=t.bufferSync(s),F=y.decodeString(t.readSync(a.dataId)[0]),O=QB(R,D,i,m,c,u,p,l,F,d);return t.makeTensorInfo(i,O.dtype,O.values)}let f=[m/c,c],h=pe({inputs:{x:n},backend:t,attrs:{shape:[u,p]}}),g=s.shape.length?pe({inputs:{x:s},backend:t,attrs:{shape:[u,c]}}):At({inputs:{x:s},backend:t}),x=g.dtype,b=t.makeTensorInfo([],x,y.makeZerosTypedArray(1,x)),w=pe({inputs:{x:a},backend:t,attrs:{shape:Array(f.length).fill(1)}}),S=gm({inputs:{x:w},backend:t,attrs:{reps:f}}),k=y.sizeFromShape([u,c]),_=[{type:"int32",data:[p]},{type:"int32",data:l},{type:"int32",data:[k]}];switch(u){case 0:break;case 1:{let R=new Aa([u,c],p,h.shape.length,g.shape.length,l,f,x,d);t.runWebGPUProgram(R,[g,h],x,_,S)}break;default:{let R=new Aa([u,c],p,h.shape.length,b.shape.length,l,f,x,d);t.runWebGPUProgram(R,[b,h],x,_,S)}{let R=new Aa([u,c],p,h.shape.length,g.shape.length,l,f,x);t.runWebGPUProgram(R,[g,h],x,_,S)}}let E=pe({inputs:{x:S},backend:t,attrs:{shape:i}});return t.disposeData(h.dataId),t.disposeData(g.dataId),t.disposeData(w.dataId),t.disposeData(b.dataId),t.disposeData(S.dataId),E}var WW={kernelName:Cs,backendName:"webgpu",kernelFunc:bpe};function Cpe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{numOrSizeSplits:s,axis:a}=o,i=y.parseAxisParam(a,n.shape)[0],p=C.prepareSplitSize(n,s,i),u=n.shape.length,c=new Array(u).fill(0),l=n.shape.slice();return p.map(m=>{let d=[...l];d[i]=m;let f=zs({inputs:{x:n},backend:t,attrs:{begin:c,size:d}});return c[i]+=m,f})}var UW={kernelName:la,backendName:"webgpu",kernelFunc:Cpe};var wpe=xe({opType:Q.SQRT}),GW={kernelName:xs,backendName:"webgpu",kernelFunc:wpe};var HW={kernelName:Gi,backendName:"webgpu",kernelFunc:({inputs:r,backend:e})=>{let{x:t}=r,o=e,n=new Xr(t.shape,Q.SQUARE);return o.runWebGPUProgram(n,[t],t.dtype)}};var Spe=et({opType:fe.SQUARED_DIFFERENCE}),KW={kernelName:ws,backendName:"webgpu",kernelFunc:Spe};function Ipe({inputs:r,attrs:e,backend:t}){let{x:o}=r,n=new Xr(o.shape,Q.STEP,"stepAlpha : f32,"),s=[{type:"float32",data:[e.alpha]}];return t.runWebGPUProgram(n,[o],o.dtype,s)}var qW={kernelName:yo,backendName:"webgpu",kernelFunc:Ipe};var ay=class{constructor(e){this.variableNames=["x"],this.workPerThread=1,this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize,[this.workPerThread,1,1]);let t=Nt(this.outputShape.length);this.uniforms=`begin : ${t}, strides : ${t}, `,this.shaderKey="stridedSlice"}getUserCode(){let e=this.outputShape.length,t="";if(e===1)t="coords * uniforms.strides + uniforms.begin";else{let n=0;t=this.outputShape.map((s,a)=>(n++,this.outputShape.length===1?`coords * uniforms.strides[${a}] + uniforms.begin[${a}]`:`coords[${n-1}] * uniforms.strides[${a}] + uniforms.begin[${a}]`)).join(",")}return` + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); setOutputAtIndex(index, getX(${t})); } } - `}};function Wne(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:C,strides:w}=ut.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=me({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ut.computeOutShape(b,C,w),E=fs({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=me({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeData(E.dataId)}else if(t.shouldExecuteOnCPU([n])){let E=t.readSync(n.dataId),A=le(n.shape,n.dtype,E),R=CM(d,A,w,b);k=t.makeTensorInfo(f,n.dtype,R.values)}else{let E=new _x(d),A=[{type:"int32",data:b},{type:"int32",data:w}],R=t.runWebGPUProgram(E,[n],n.dtype,A);k=me({inputs:{x:R},backend:t,attrs:{shape:f}}),t.disposeData(R.dataId)}return k}var jB={kernelName:Xn,backendName:"webgpu",kernelFunc:Wne};function Une(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=SM(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var XB={kernelName:Ds,backendName:"webgpu",kernelFunc:Une};var Gne=xe({opType:X.TAN}),YB={kernelName:Qn,backendName:"webgpu",kernelFunc:Gne};var Hne=xe({opType:X.TANH}),QB={kernelName:Zn,backendName:"webgpu",kernelFunc:Hne};var $x=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32, + `}};function vpe(r){let{inputs:e,backend:t,attrs:o}=r,{x:n}=e,{begin:s,end:a,strides:i,beginMask:p,endMask:u,ellipsisMask:c,newAxisMask:l,shrinkAxisMask:m}=o,{finalShapeSparse:d,finalShape:f,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:S}=ct.sliceInfo(n.shape,s,a,i,p,u,c,l,m),k;if(h)k=pe({inputs:{x:n},backend:t,attrs:{shape:f}});else if(g||x){y.assert(n.shape.length>=1,()=>`Input must have rank at least 1, got: ${n.shape.length}`);let _=ct.computeOutShape(b,w,S),E=zs({inputs:{x:n},backend:t,attrs:{begin:b,size:_}});k=pe({inputs:{x:E},backend:t,attrs:{shape:f}}),t.disposeData(E.dataId)}else if(t.shouldExecuteOnCPU([n])){let E=t.readSync(n.dataId),R=me(n.shape,n.dtype,E),D=ez(d,R,S,b);k=t.makeTensorInfo(f,n.dtype,D.values)}else{let E=new ay(d),R=[{type:"int32",data:b},{type:"int32",data:S}],D=t.runWebGPUProgram(E,[n],n.dtype,R);k=pe({inputs:{x:D},backend:t,attrs:{shape:f}}),t.disposeData(D.dataId)}return k}var jW={kernelName:Ss,backendName:"webgpu",kernelFunc:vpe};function kpe(r){let{inputs:e,backend:t,attrs:o}=r,{separator:n,nGramWidths:s,leftPad:a,rightPad:i,padWidth:p,preserveShortSequences:u}=o,{data:c,dataSplits:l}=e,m=t.readSync(c.dataId),d=t.readSync(l.dataId),[f,h]=tz(m,d,n,s,a,i,p,u);return[t.makeTensorInfo([f.length],"string",f),t.makeTensorInfo(l.shape,"int32",h)]}var XW={kernelName:ma,backendName:"webgpu",kernelFunc:kpe};var Npe=et({opType:fe.SUB,cpuKernelImpl:rz,supportsComplex:!0}),YW={kernelName:Is,backendName:"webgpu",kernelFunc:Npe};var Tpe=xe({opType:Q.TAN}),QW={kernelName:vs,backendName:"webgpu",kernelFunc:Tpe};var _pe=xe({opType:Q.TANH}),ZW={kernelName:ks,backendName:"webgpu",kernelFunc:_pe};function $pe(r){let{inputs:e,backend:t,attrs:o}=r,{tensor:n,indices:s,updates:a}=e,{}=o,{sliceRank:i,numUpdates:p,sliceSize:u,strides:c,outputSize:l}=C.calculateShapes(a,s,n.shape),m=[l/u,u];if(l===0)return t.makeTensorInfo(n.shape,s.dtype);let d=[],f=pe({inputs:{x:s},backend:t,attrs:{shape:[p,i]}});d.push(f);let h=pe({inputs:{x:a},backend:t,attrs:{shape:[p,u]}});d.push(h);let g=pe({inputs:{x:n},backend:t,attrs:{shape:m}});d.push(g);let x=gm({inputs:{x:g},backend:t,attrs:{reps:Array(m.length).fill(1)}}),b=new Aa([p,u],i,f.shape.length,h.shape.length,c,m,n.dtype,!1),w=y.sizeFromShape([p,u]),S=[{type:"int32",data:[i]},{type:"int32",data:c},{type:"int32",data:[w]}],k=t.runWebGPUProgram(b,[h,f],g.dtype,S,x);d.push(k);let _=pe({inputs:{x:k},backend:t,attrs:{shape:n.shape}});return d.forEach(E=>t.disposeData(E.dataId)),_}var JW={kernelName:cs,backendName:"webgpu",kernelFunc:$pe};var iy=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms=`inputSize : i32, firstPass : i32, negativeInf : f32, dir : i32, inc : i32,`,this.shaderKey="swap"}getUserCode(){return` - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -7278,8 +8280,8 @@ return a / b;`,M7=` } } } - `}},Ex=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms="inputSize : i32, firstPass : i32, k : i32,",this.shaderKey="merge"}getUserCode(){return` - ${Q("index")} { + `}},uy=class{constructor(e){this.variableNames=["x","indices"],this.workgroupSize=[256,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.uniforms="inputSize : i32, firstPass : i32, k : i32,",this.shaderKey="merge"}getUserCode(){return` + ${K("index")} { if (index < uniforms.size) { let outC = getCoordsFromIndex(index); let batch = outC[0]; @@ -7337,7 +8339,7 @@ return a / b;`,M7=` } } } - `}};function Rc(r,e){e!==null&&r.disposeData(e.dataId)}function ZB(r){let e=1;for(;ef===null?[l,l]:[l,f],g=(k,_,E)=>{let A=h(),R=new $x(E),P=[{type:"int32",data:[p]},{type:"int32",data:[f===null?1:0]},{type:"float32",data:[Number.NEGATIVE_INFINITY]},{type:"int32",data:[k]},{type:"int32",data:[_]}],M=f;f=t.runWebGPUProgram(R,A,"int32",P),Rc(t,M)};for(let k=1;k=1;E/=2)g(_,E,[c,d])}for(let k=d;k>m;k/=2){let _=h(),E=new Ex([c,k/2]),R=[{type:"int32",data:[p]},{type:"int32",data:[f===null?1:0]},{type:"int32",data:[m]}],D=f;f=t.runWebGPUProgram(E,_,"int32",R),Rc(t,D);let P=m/2,M=P*2;for(let L=P;L>=1;L/=2)g(M,L,f.shape)}let x=f;f=fs({inputs:{x:f},backend:t,attrs:{begin:0,size:[c,s]}}),Rc(t,x);let b=NI({inputs:{x:l,indices:f},backend:t,attrs:{axis:1,batchDims:1}});Rc(t,l);let C=i.slice(0,-1);C.push(s),x=f,f=me({inputs:{x:f},attrs:{shape:C},backend:t}),Rc(t,x);let w=b;return b=me({inputs:{x:b},attrs:{shape:C},backend:t}),Rc(t,w),[b,f]}var JB={kernelName:Jn,backendName:"webgpu",kernelFunc:Kne};var Ax=class{constructor(e){this.variableNames=["Image","Transforms"],this.uniforms="interpolationModeId : i32, fillModeId : i32, fillValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=ae(this.outputShape),this.dispatch=Y(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="transform"}getUserCode(){return` + `}};function Jc(r,e){e!==null&&r.disposeData(e.dataId)}function eU(r){let e=1;for(;ef===null?[l,l]:[l,f],g=(k,_,E)=>{let R=h(),D=new iy(E),O=[{type:"int32",data:[p]},{type:"int32",data:[f===null?1:0]},{type:"float32",data:[Number.NEGATIVE_INFINITY]},{type:"int32",data:[k]},{type:"int32",data:[_]}],M=f;f=t.runWebGPUProgram(D,R,"int32",O),Jc(t,M)};for(let k=1;k=1;E/=2)g(_,E,[c,d])}for(let k=d;k>m;k/=2){let _=h(),E=new uy([c,k/2]),D=[{type:"int32",data:[p]},{type:"int32",data:[f===null?1:0]},{type:"int32",data:[m]}],F=f;f=t.runWebGPUProgram(E,_,"int32",D),Jc(t,F);let O=m/2,M=O*2;for(let L=O;L>=1;L/=2)g(M,L,f.shape)}let x=f;f=zs({inputs:{x:f},backend:t,attrs:{begin:0,size:[c,s]}}),Jc(t,x);let b=Hv({inputs:{x:l,indices:f},backend:t,attrs:{axis:1,batchDims:1}});Jc(t,l);let w=i.slice(0,-1);w.push(s),x=f,f=pe({inputs:{x:f},attrs:{shape:w},backend:t}),Jc(t,x);let S=b;return b=pe({inputs:{x:b},attrs:{shape:w},backend:t}),Jc(t,S),[b,f]}var tU={kernelName:Ns,backendName:"webgpu",kernelFunc:Epe};var py=class{constructor(e){this.variableNames=["Image","Transforms"],this.uniforms="interpolationModeId : i32, fillModeId : i32, fillValue : f32,",this.workgroupSize=[64,1,1],this.size=!0,this.outputShape=e,this.dispatchLayout=Z(this.outputShape),this.dispatch=q(this.dispatchLayout,this.outputShape,this.workgroupSize),this.shaderKey="transform"}getUserCode(){return` fn mapCoord(outCoord : f32, len : f32) -> f32{ var inCoord = outCoord; if(uniforms.fillModeId == 2) { @@ -7401,7 +8403,7 @@ return a / b;`,M7=` return outputValue; } - ${Q("index")} { + ${K("index")} { if (index < uniforms.size) { let coords = getCoordsFromIndex(index); var outputValue : f32; @@ -7453,4 +8455,21 @@ return a / b;`,M7=` setOutputAtIndex(index, outputValue); } } - `}};function qne(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new Ax(g),b=a==="nearest"?1:2,C;switch(i){case"constant":C=1;break;case"reflect":C=2;break;case"wrap":C=3;break;case"nearest":C=4;break;default:C=1;break}let w=[{type:"int32",data:[b]},{type:"int32",data:[C]},{type:"float32",data:[p]}];return t.runWebGPUProgram(x,[n,s],"float32",w)}var eV={kernelName:es,backendName:"webgpu",kernelFunc:qne};function jne(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeData(h.dataId)),f}var tV={kernelName:Fs,backendName:"webgpu",kernelFunc:jne};var Xne=[G3,NM,TM,_M,$M,EM,RM,DM,FM,OM,PM,MM,LM,BM,VM,UM,GM,HM,qM,jM,ZM,JM,eL,K3,rL,oL,nL,sL,aL,iL,uL,lL,mL,dL,fL,hL,gL,xL,CL,SL,wL,IL,vL,kL,NL,TL,W3,_L,AL,$L,EL,RL,DL,FL,OL,PL,ML,LL,H3,BL,tL,VL,zL,WL,UL,GL,HL,KL,jL,qL,XL,YL,QL,JL,zM,eB,tB,WM,rB,oB,nB,sB,yL,aB,iB,uB,XM,pB,mB,dB,fB,hB,gB,xB,yB,YM,bB,CB,SB,wB,U3,IB,vB,kB,NB,TB,_B,$B,EB,AB,RB,DB,FB,OB,PB,KM,qB,jB,XB,LB,BB,VB,WB,UB,GB,HB,KB,MB,bL,YB,QB,zB,JB,eV,AM,tV,cB];for(let r of Xne)ka(r);var rV="4.2.0",Yne="4.2.0",Qne="4.2.0",Zne="4.2.0",Jne="4.2.0",ese="0.0.1-alpha.17",tse={tfjs:rV,"tfjs-core":rV,"tfjs-converter":Yne,"tfjs-backend-cpu":Qne,"tfjs-backend-webgl":Zne,"tfjs-backend-wasm":Jne,"tfjs-backend-webgpu":ese};export{ys as Abs,aa as Acos,ia as Acosh,yu as AdadeltaOptimizer,bu as AdagradOptimizer,Cu as AdamOptimizer,Su as AdamaxOptimizer,eo as Add,Po as AddN,Mo as All,Lo as Any,Bo as ArgMax,ei as ArgMin,ua as Asin,pa as Asinh,ca as Atan,ma as Atan2,la as Atanh,Vo as AvgPool,dp as AvgPool3D,vm as AvgPool3DGrad,mp as AvgPoolGrad,Ll as BackendWasm,zo as BatchMatMul,bs as BatchToSpaceND,ti as Bincount,fp as BroadcastArgs,ise as BroadcastTo,co as Cast,Wo as Ceil,lo as ClipByValue,ri as Complex,hp as ComplexAbs,Cs as Concat,Uo as Conv2D,oi as Conv2DBackpropFilter,Go as Conv2DBackpropInput,gp as Conv3D,km as Conv3DBackpropFilterV2,xp as Conv3DBackpropInputV2,Ho as Cos,Ko as Cosh,Xo as CropAndResize,qo as Cumprod,jo as Cumsum,Fo as DataStorage,ni as DenseBincount,Yo as DepthToSpace,Qo as DepthwiseConv2dNative,yp as DepthwiseConv2dNativeBackpropFilter,bp as DepthwiseConv2dNativeBackpropInput,si as Diag,ai as Dilation2D,$b as Dilation2DBackpropFilter,_b as Dilation2DBackpropInput,kb as ENV,ii as Einsum,Jo as Elu,Nm as EluGrad,Uc as Environment,en as Equal,da as Erf,tn as Exp,Ss as ExpandDims,fa as Expm1,ui as FFT,ws as Fill,rn as FlipLeftRight,on as Floor,nn as FloorDiv,Zi as FromPixels,sn as FusedBatchNorm,go as FusedConv2D,xo as FusedDepthwiseConv2D,Lu as GPGPUContext,an as GatherNd,Is as GatherV2,fl as GraphModel,un as Greater,pn as GreaterEqual,pi as IFFT,mo as Identity,ci as Imag,ha as IsFinite,ga as IsInf,cn as IsNan,Zr as KernelBackend,mi as LRN,Tm as LRNGrad,ln as LeakyRelu,mn as Less,dn as LessEqual,li as LinSpace,fn as Log,xa as Log1p,use as LogSoftmax,hn as LogicalAnd,gn as LogicalNot,xn as LogicalOr,XI as LogicalXor,pse as LowerBound,Pi as MathBackendCPU,Vi as MathBackendWebGL,yn as Max,Cn as MaxPool,Cp as MaxPool3D,$m as MaxPool3DGrad,_m as MaxPoolGrad,Sp as MaxPoolWithArgmax,bn as Maximum,Sn as Mean,wn as Min,In as Minimum,vn as MirrorPad,ya as Mod,wu as MomentumOptimizer,wp as Multinomial,kn as Multiply,vs as Neg,Tn as NonMaxSuppressionV3,ba as NonMaxSuppressionV4,_n as NonMaxSuppressionV5,Nn as NotEqual,jb as OP_SCOPE_SUFFIX,$n as OneHot,ks as OnesLike,wr as Optimizer,cl as OptimizerConstructors,Ns as Pack,En as PadV2,cse as Pool,An as Pow,Rn as Prelu,Dn as Prod,Iu as RMSPropOptimizer,Ip as RaggedGather,vp as RaggedRange,kp as RaggedTensorToTensor,Ts as Range,Lb as Rank,di as Real,Zo as RealDiv,Fn as Reciprocal,$t as Reduction,On as Relu,Ln as Relu6,_s as Reshape,Mn as ResizeBilinear,Am as ResizeBilinearGrad,Pn as ResizeNearestNeighbor,Em as ResizeNearestNeighborGrad,Bn as Reverse,ts as RotateWithOffset,Vn as Round,zn as Rsqrt,Pa as SGDOptimizer,Wn as ScatterNd,fi as SearchSorted,$s as Select,Ca as Selu,Gn as Sigmoid,wa as Sign,Un as Sin,Sa as Sinh,Es as Slice,qn as Softmax,Ia as Softplus,As as SpaceToBatchND,hi as SparseFillEmptyRows,va as SparseReshape,gi as SparseSegmentMean,xi as SparseSegmentSum,yi as SparseToDense,Rs as SplitV,Hn as Sqrt,bi as Square,jn as SquaredDifference,fo as Step,Xn as StridedSlice,Ds as StringNGrams,Ci as StringSplit,Si as StringToHashBucketFast,Yn as Sub,Kn as Sum,Qn as Tan,Zn as Tanh,it as Tensor,st as TensorBuffer,to as Tile,Jn as TopK,es as Transform,ro as Transpose,Np as Unique,Fs as Unpack,Tp as UnsortedSegmentSum,lse as UpperBound,Na as Variable,Gi as WebGPUBackend,Os as ZerosLike,ho as _FusedMatMul,Yt as abs,G0 as acos,H0 as acosh,be as add,K0 as addN,q0 as all,j0 as any,X0 as argMax,Y0 as argMin,Q0 as asin,Z0 as asinh,J0 as atan,ev as atan2,tv as atanh,qm as avgPool,nv as avgPool3d,Pie as backend,S as backend_util,sv as basicLSTMCell,_i as batchNorm,iv as batchNorm2d,uv as batchNorm3d,pv as batchNorm4d,jm as batchToSpaceND,Xm as bincount,VG as booleanMaskAsync,cv as broadcastArgs,$i as broadcastTo,yr as broadcast_util,gN as browser,le as buffer,je as cast,lv as ceil,mv as clipByValue,Lr as clone,Tr as complex,xt as concat,dv as concat1d,fv as concat2d,hv as concat3d,gv as concat4d,xv as conv1d,Ei as conv2d,yv as conv2dTranspose,bv as conv3d,Sv as conv3dTranspose,bse as copyRegisteredKernels,wv as cos,Iv as cosh,al as cosineWindow,vv as cumprod,kv as cumsum,br as customGrad,Nv as denseBincount,nC as deprecationWarn,Tv as depthToSpace,Bp as depthwiseConv2d,Mq as deregisterOp,ki as device_util,_v as diag,$v as dilation2d,kie as disableDeprecationWarnings,Ot as dispose,Nie as disposeVariables,He as div,Av as divNoNan,Rv as dot,ZG as dropout,Dv as einsum,Jm as elu,vie as enableDebugMode,Iie as enableProdMode,CC as enclosingPowerOfTwo,sr as engine,O as env,Zm as equal,Fv as erf,Mv as euclideanNorm,So as exp,Ra as expandDims,Lv as expm1,ed as eye,zp as fft,Us as fill,Fie as findBackend,Oie as findBackendFactory,td as floor,Km as floorDiv,GE as forceHalfFloat,SC as fused,rd as gather,YG as gatherND,Wd as gather_util,Rie as getBackend,Eb as getGradient,Kc as getKernel,Rm as getKernelsForBackend,Kee as getThreadsCount,$w as gpgpu_util,HU as grad,KU as grads,uu as greater,od as greaterEqual,du as ifft,Ri as imag,eK as image,eH as inTopKAsync,La as io,Td as irfft,Bv as isFinite,Vv as isInf,zv as isNaN,_r as keep,Vt as kernel_impls,nd as leakyRelu,Wv as less,Vp as lessEqual,tK as linalg,Uv as linspace,A6 as loadGraphModel,R6 as loadGraphModelSync,Gv as localResponseNormalization,Da as log,sd as log1p,Hv as logSigmoid,Kv as logSoftmax,ud as logSumExp,pu as logicalAnd,pd as logicalNot,cd as logicalOr,qv as logicalXor,rK as losses,jv as lowerBound,Xe as matMul,fN as math,Gs as max,md as maxPool,Xv as maxPool3d,Yv as maxPoolWithArgmax,dd as maximum,cu as mean,Tie as memory,Qv as meshgrid,rl as min,fd as minimum,Zv as mirrorPad,Jv as mod,ek as moments,UG as movingAverage,ne as mul,tk as multiRNNCell,rk as multinomial,Cr as neg,AC as nextFrame,iu as norm,hd as notEqual,nl as oneHot,Hs as ones,ok as onesLike,N as op,nk as outerProduct,Ks as pad,sk as pad1d,ak as pad2d,ik as pad3d,uk as pad4d,pk as pool,Aa as pow,xd as prelu,Hm as print,ck as prod,_ie as profile,lk as raggedGather,mk as raggedRange,dk as raggedTensorToTensor,fk as rand,Ok as randomGamma,Id as randomNormal,Pk as randomStandardNormal,vd as randomUniform,Di as range,Aie as ready,Fa as real,Mk as reciprocal,Ti as registerBackend,gse as registerGradient,ka as registerKernel,Pq as registerOp,Fi as relu,kd as relu6,Die as removeBackend,W as reshape,no as reverse,Lk as reverse1d,Bk as reverse2d,Vk as reverse3d,zk as reverse4d,Wp as rfft,Nd as round,Wk as rsqrt,Ce as scalar,HG as scatterND,sl as scatter_util,ol as searchSorted,Uk as selu,Gk as separableConv2d,oN as serialization,Eie as setBackend,Mie as setPlatform,Hee as setThreadsCount,Uee as setWasmPath,Gee as setWasmPaths,US as setWebGLContext,Hk as setdiff1dAsync,Zp as shared,Ws as sigmoid,Kk as sign,JH as signal,qk as sin,jk as sinh,Ke as slice,Xk as slice1d,Yk as slice2d,Qk as slice3d,Zk as slice4d,ut as slice_util,Jk as softmax,id as softplus,gd as spaceToBatchND,oK as sparse,jG as sparseToDense,ZH as spectral,Oa as split,$r as sqrt,Qt as square,_d as squaredDifference,Up as squeeze,Sr as stack,$d as step,e1 as stridedSlice,nK as string,ke as sub,et as sum,Ta as sumOutType,t1 as tan,tl as tanh,nr as tensor,dr as tensor1d,Oi as tensor2d,Ed as tensor3d,r1 as tensor4d,o1 as tensor5d,n1 as tensor6d,C0 as tensor_util,Fk as test_util,Ee as tidy,Ai as tile,$ie as time,s1 as topk,YMe as train,Gp as transpose,a1 as truncatedNormal,i1 as unique,yse as unregisterGradient,xse as unregisterKernel,u1 as unsortedSegmentSum,so as unstack,dt as upcastType,p1 as upperBound,y as util,qU as valueAndGrad,jU as valueAndGrads,c1 as variable,pC as variableGrads,tse as version,F6 as version_converter,RK as version_core,pj as version_cpu,qee as version_wasm,nY as version_webgl,CJe as webgl,nc as webgl_util,hI as webgpu_util,ss as where,Rd as whereAsync,Br as zeros,Ut as zerosLike}; + `}};function Rpe(r){let{inputs:e,backend:t,attrs:o}=r,{image:n,transforms:s}=e,{interpolation:a,fillMode:i,fillValue:p,outputShape:u}=o,[c,l,m,d]=n.shape,[f,h]=u!=null?u:[l,m],g=[c,f,h,d],x=new py(g),b=a==="nearest"?1:2,w;switch(i){case"constant":w=1;break;case"reflect":w=2;break;case"wrap":w=3;break;case"nearest":w=4;break;default:w=1;break}let S=[{type:"int32",data:[b]},{type:"int32",data:[w]},{type:"float32",data:[p]}];return t.runWebGPUProgram(x,[n,s],"float32",S)}var rU={kernelName:Ts,backendName:"webgpu",kernelFunc:Rpe};function Dpe(r){let{inputs:e,backend:t,attrs:o}=r,{value:n}=e,{axis:s}=o;s<0&&(s+=n.shape.length);let a=n,i=a.shape.length,p=n.shape[s],u=new Array(i-1),c=0;for(let h=0;ht.disposeData(h.dataId)),f}var oU={kernelName:da,backendName:"webgpu",kernelFunc:Dpe};var cy=class{constructor(e,t,o){if(this.outputShape=[],this.variableNames=["x","segmentIds"],this.uniforms="numSegments : i32, xSize: i32,",this.workgroupSize=[64,1,1],this.atomic=!0,this.outputShape=t,this.dispatchLayout=Z(e),this.dispatch=q(this.dispatchLayout,e,this.workgroupSize),o!=="float32"&&o!=="int32")throw new Error(`UnsortedSegmentSum only supports float32 and int32 + types, does not support ${o} type.`);this.type=o,this.shaderKey="unsortedSegmentSum"}getUserCode(){return` + ${K("index")} { + if (index < uniforms.xSize) { + let coords = getXCoordsFromIndex(index); + let b = coords[0]; + let inCol = coords[1]; + + let segmentId = i32(getSegmentIds(inCol)); + if (segmentId >= 0) { + let flatIndex = b * uniforms.numSegments + segmentId % uniforms.numSegments; + let value = getX(b, inCol); + + ${Bs("&result[flatIndex]","value",this.type)} + } + } + } + `}};function Ape(r){let{inputs:e,backend:t,attrs:o}=r,{x:n,segmentIds:s}=e,{numSegments:a}=o,i=n.shape.length,p=[],u=0,c=C.getAxesPermutation([u],i),l=n;c!=null&&(l=rr({inputs:{x:n},backend:t,attrs:{perm:c}}),p.push(l),u=C.getInnerMostAxes(1,i)[0]);let m=C.segment_util.computeOutShape(l.shape,u,a),d=y.sizeFromShape([l.shape[u]]),f=pe({inputs:{x:l},backend:t,attrs:{shape:[-1,d]}});p.push(f);let h=n.dtype,g=[f.shape[0],a],x=Vt({backend:t,attrs:{shape:g,value:0,dtype:h}}),b=new cy(f.shape,g,h),w=[{type:"int32",data:[a]},{type:"int32",data:[y.sizeFromShape(f.shape)]}],S=t.runWebGPUProgram(b,[f,s],h,w,x),k=pe({inputs:{x:S},backend:t,attrs:{shape:m}});p.push(S);let _=k;if(c!=null){p.push(k);let E=C.getUndoAxesPermutation(c);_=rr({inputs:{x:_},backend:t,attrs:{perm:E}})}return p.forEach(E=>t.disposeData(E.dataId)),_}var nU={kernelName:ji,backendName:"webgpu",kernelFunc:Ape};var Fpe=[IB,az,iz,uz,pz,cz,mz,dz,fz,hz,gz,xz,yz,bz,Cz,Iz,vz,kz,Nz,Tz,$z,Ez,Rz,Pz,Oz,Mz,kB,Bz,Vz,Wz,Uz,Gz,Hz,Kz,qz,jz,Xz,Yz,Jz,eV,tV,rV,nV,sV,oV,aV,iV,uV,pV,mV,dV,fV,hV,gV,xV,yV,bV,CV,wB,wV,vV,SV,IV,kV,NV,TV,_V,$V,EV,RV,vB,DV,zz,AV,FV,PV,OV,MV,LV,BV,VV,zV,WV,UV,GV,KV,qV,wz,jV,XV,ZV,YV,QV,JV,Sz,eW,tW,rW,oW,sW,cV,aW,iW,uW,Dz,pW,mW,dW,fW,hW,gW,xW,yW,Az,bW,CW,wW,SW,SB,IW,vW,kW,NW,TW,_W,$W,EW,RW,DW,AW,FW,PW,OW,MW,LW,_z,qW,jW,XW,nW,BW,zW,WW,UW,GW,HW,KW,YW,lV,QW,ZW,JW,VW,tU,rU,lz,oU,nU,cW];for(let r of Fpe)Ya(r);var sU="4.5.0",Ppe="4.5.0",Ope="4.5.0",Mpe="4.5.0",Lpe="4.5.0",Bpe="0.0.1-alpha.20",zpe={tfjs:sU,"tfjs-core":sU,"tfjs-converter":Ppe,"tfjs-backend-cpu":Ope,"tfjs-backend-webgl":Mpe,"tfjs-backend-wasm":Lpe,"tfjs-backend-webgpu":Bpe};export{Gs as Abs,zo as Acos,Vo as Acosh,Yu as AdadeltaOptimizer,Qu as AdagradOptimizer,Zu as AdamOptimizer,Ju as AdamaxOptimizer,no as Add,Wo as AddN,Uo as All,Go as Any,Hs as ArgMax,Ks as ArgMin,Ho as Asin,Ko as Asinh,qo as Atan,Xo as Atan2,jo as Atanh,Yo as AvgPool,qs as AvgPool3D,Ni as AvgPool3DGrad,Gp as AvgPoolGrad,am as BackendWasm,Qo as BatchMatMul,js as BatchToSpaceND,Zo as Bincount,ml as BitwiseAnd,Xs as BroadcastArgs,Kpe as BroadcastTo,ho as Cast,Jo as Ceil,go as ClipByValue,Ti as Complex,_i as ComplexAbs,Ys as Concat,en as Conv2D,$i as Conv2DBackpropFilter,tn as Conv2DBackpropInput,rn as Conv3D,za as Conv3DBackpropFilterV2,on as Conv3DBackpropInputV2,nn as Cos,sn as Cosh,pn as CropAndResize,an as Cumprod,un as Cumsum,Lo as DataStorage,Qs as DenseBincount,cn as DepthToSpace,ln as DepthwiseConv2dNative,Ei as DepthwiseConv2dNativeBackpropFilter,Ri as DepthwiseConv2dNativeBackpropInput,Zs as Diag,mn as Dilation2D,Ai as Dilation2DBackpropFilter,Di as Dilation2DBackpropInput,WC as ENV,Fi as Einsum,fn as Elu,Va as EluGrad,cl as Environment,hn as Equal,Wa as Erf,gn as Exp,Js as ExpandDims,xn as Expm1,Pi as FFT,ea as Fill,yn as FlipLeftRight,bn as Floor,Cn as FloorDiv,$u as FromPixels,wn as FusedBatchNorm,Co as FusedConv2D,wo as FusedDepthwiseConv2D,xp as GPGPUContext,Sn as GatherNd,ta as GatherV2,Ol as GraphModel,In as Greater,vn as GreaterEqual,Oi as IFFT,xo as Identity,Mi as Imag,kn as IsFinite,Nn as IsInf,Tn as IsNan,ro as KernelBackend,Mn as LRN,Ua as LRNGrad,_n as LeakyRelu,$n as Less,En as LessEqual,Rn as LinSpace,Dn as Log,An as Log1p,qpe as LogSoftmax,Fn as LogicalAnd,Pn as LogicalNot,On as LogicalOr,m0 as LogicalXor,jpe as LowerBound,lu as MathBackendCPU,hu as MathBackendWebGL,Xpe as MatrixBandPart,Ln as Max,zn as MaxPool,ra as MaxPool3D,Li as MaxPool3DGrad,Hp as MaxPoolGrad,Bi as MaxPoolWithArgmax,Bn as Maximum,Vn as Mean,Wn as Min,Un as Minimum,Gn as MirrorPad,Ga as Mod,ep as MomentumOptimizer,Hn as Multinomial,Kn as Multiply,oa as Neg,jn as NonMaxSuppressionV3,Ha as NonMaxSuppressionV4,Xn as NonMaxSuppressionV5,qn as NotEqual,pw as OP_SCOPE_SUFFIX,Yn as OneHot,na as OnesLike,kr as Optimizer,Dl as OptimizerConstructors,sa as Pack,Qn as PadV2,Ype as Pool,Zn as Pow,Jn as Prelu,es as Prod,tp as RMSPropOptimizer,Kp as RaggedGather,qp as RaggedRange,jp as RaggedTensorToTensor,aa as Range,JC as Rank,zi as Real,dn as RealDiv,ts as Reciprocal,Et as Reduction,rs as Relu,ss as Relu6,ia as Reshape,ns as ResizeBilinear,qa as ResizeBilinearGrad,os as ResizeNearestNeighbor,Ka as ResizeNearestNeighborGrad,as as Reverse,_s as RotateWithOffset,is as Round,us as Rsqrt,ii as SGDOptimizer,ps as ScatterNd,ls as SearchSorted,ua as Select,ms as Selu,hs as Sigmoid,fs as Sign,ds as Sin,ja as Sinh,pa as Slice,bs as Softmax,gs as Softplus,ca as SpaceToBatchND,Vi as SparseFillEmptyRows,Xa as SparseReshape,Wi as SparseSegmentMean,Ui as SparseSegmentSum,Cs as SparseToDense,la as SplitV,xs as Sqrt,Gi as Square,ws as SquaredDifference,_u as StaticRegexReplace,yo as Step,Ss as StridedSlice,ma as StringNGrams,Hi as StringSplit,Ki as StringToHashBucketFast,Is as Sub,ys as Sum,vs as Tan,ks as Tanh,pt as Tensor,tt as TensorBuffer,cs as TensorScatterUpdate,so as Tile,Ns as TopK,Ts as Transform,ao as Transpose,qi as Unique,da as Unpack,ji as UnsortedSegmentSum,Qpe as UpperBound,Qa as Variable,Cu as WebGPUBackend,fa as ZerosLike,bo as _FusedMatMul,Zt as abs,ik as acos,uk as acosh,be as add,pk as addN,ck as all,lk as any,mk as argMax,dk as argMin,fk as asin,hk as asinh,gk as atan,xk as atan2,yk as atanh,cd as avgPool,wk as avgPool3d,Tme as backend,C as backend_util,Sk as basicLSTMCell,tu as batchNorm,vk as batchNorm2d,kk as batchNorm3d,Nk as batchNorm4d,ld as batchToSpaceND,md as bincount,Tk as bitwiseAnd,qq as booleanMaskAsync,_k as broadcastArgs,ru as broadcastTo,Sr as broadcast_util,MN as browser,me as buffer,Ye as cast,$k as ceil,Ek as clipByValue,Vr as clone,$r as complex,yt as concat,Rk as concat1d,Dk as concat2d,Ak as concat3d,Fk as concat4d,Pk as conv1d,ou as conv2d,Ok as conv2dTranspose,Mk as conv3d,Bk as conv3dTranspose,sce as copyRegisteredKernels,zk as cos,Vk as cosh,_l as cosineWindow,Wk as cumprod,Uk as cumsum,Ir as customGrad,Gk as denseBincount,bw as deprecationWarn,Hk as depthToSpace,ac as depthwiseConv2d,KX as deregisterOp,Zi as device_util,Kk as diag,qk as dilation2d,gme as disableDeprecationWarnings,Ot as dispose,xme as disposeVariables,Ke as div,Xk as divNoNan,Yk as dot,s6 as dropout,Qk as einsum,gd as elu,hme as enableDebugMode,fme as enableProdMode,Pw as enclosingPowerOfTwo,ur as engine,Zk as ensureShape,P as env,hd as equal,Jk as erf,r2 as euclideanNorm,ko as exp,oi as expandDims,o2 as expm1,xd as eye,pc as fft,Sa as fill,kme as findBackend,Nme as findBackendFactory,yd as floor,pd as floorDiv,hD as forceHalfFloat,Ow as fused,bd as gather,o6 as gatherND,of as gather_util,Ime as getBackend,HC as getGradient,fl as getKernel,Km as getKernelsForBackend,ese as getThreadsCount,qI as gpgpu_util,YH as grad,QH as grads,Bu as greater,Cd as greaterEqual,Hu as ifft,su as imag,uj as image,i6 as inTopKAsync,pi as io,Wd as irfft,n2 as isFinite,s2 as isInf,a2 as isNaN,Er as keep,Wt as kernel_impls,wd as leakyRelu,kl as less,ic as lessEqual,pj as linalg,i2 as linspace,W5 as loadGraphModel,U5 as loadGraphModelSync,u2 as localResponseNormalization,ni as log,Sd as log1p,p2 as logSigmoid,c2 as logSoftmax,kd as logSumExp,zu as logicalAnd,Nd as logicalNot,Td as logicalOr,l2 as logicalXor,cj as losses,m2 as lowerBound,Qe as matMul,PN as math,Ia as max,$d as maxPool,d2 as maxPool3d,f2 as maxPoolWithArgmax,Ed as maximum,Vu as mean,yme as memory,h2 as meshgrid,vl as min,Wu as minimum,g2 as mirrorPad,x2 as mod,y2 as moments,Yq as movingAverage,se as mul,b2 as multiRNNCell,C2 as multinomial,pr as neg,Kw as nextFrame,Lu as norm,Rd as notEqual,Tl as oneHot,va as ones,w2 as onesLike,N as op,S2 as outerProduct,ka as pad,I2 as pad1d,v2 as pad2d,k2 as pad3d,N2 as pad4d,T2 as pool,ri as pow,Ad as prelu,ud as print,_2 as prod,bme as profile,$2 as raggedGather,E2 as raggedRange,R2 as raggedTensorToTensor,D2 as rand,J2 as randomGamma,Bd as randomNormal,e1 as randomStandardNormal,uc as randomUniform,t1 as randomUniformInt,au as range,Sme as ready,si as real,r1 as reciprocal,eu as registerBackend,rce as registerGradient,Ya as registerKernel,HX as registerOp,iu as relu,zd as relu6,vme as removeBackend,W as reshape,uo as reverse,o1 as reverse1d,n1 as reverse2d,s1 as reverse3d,a1 as reverse4d,cc as rfft,Vd as round,i1 as rsqrt,ke as scalar,Zq as scatterND,pu as scatter_util,Nl as searchSorted,u1 as selu,p1 as separableConv2d,vN as serialization,wme as setBackend,_me as setPlatform,Jne as setThreadsCount,Qne as setWasmPath,Zne as setWasmPaths,iI as setWebGLContext,c1 as setdiff1dAsync,Sc as shared,wa as sigmoid,l1 as sign,ij as signal,m1 as sin,d1 as sinh,qe as slice,f1 as slice1d,h1 as slice2d,g1 as slice3d,x1 as slice4d,ct as slice_util,y1 as softmax,vd as softplus,Dd as spaceToBatchND,lj as sparse,t6 as sparseToDense,aj as spectral,ai as split,Rr as sqrt,Jt as square,Ud as squaredDifference,lc as squeeze,vr as stack,Gd as step,b1 as stridedSlice,mj as string,Te as sub,ot as sum,Za as sumOutType,C1 as tan,Il as tanh,ir as tensor,xr as tensor1d,uu as tensor2d,Hd as tensor3d,w1 as tensor4d,S1 as tensor5d,I1 as tensor6d,k1 as tensorScatterUpdate,M0 as tensor_util,Z2 as test_util,De as tidy,nu as tile,Cme as time,N1 as topk,CUe as train,dc as transpose,T1 as truncatedNormal,_1 as unique,nce as unregisterGradient,oce as unregisterKernel,$1 as unsortedSegmentSum,po as unstack,dt as upcastType,E1 as upperBound,y as util,ZH as valueAndGrad,JH as valueAndGrads,R1 as variable,vw as variableGrads,zpe as version,H5 as version_converter,Vj as version_core,I8 as version_cpu,tse as version_wasm,xZ as version_webgl,cst as webgl,_c as webgl_util,Fv as webgpu_util,io as where,qd as whereAsync,Wr as zeros,Ht as zerosLike}; diff --git a/dist/tfjs.version.js b/dist/tfjs.version.js index b881048e..d4fb5e89 100644 --- a/dist/tfjs.version.js +++ b/dist/tfjs.version.js @@ -4,4 +4,37 @@ author: ' */ -var e="4.2.0";var s="4.2.0";var t="4.2.0";var n="4.2.0";var r="4.2.0";var i="0.0.1-alpha.17";var h={tfjs:e,"tfjs-core":e,"tfjs-converter":s,"tfjs-backend-cpu":t,"tfjs-backend-webgl":n,"tfjs-backend-wasm":r,"tfjs-backend-webgpu":i};export{h as version}; + +// node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/package.json +var version = "4.5.0"; + +// node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/package.json +var version2 = "4.5.0"; + +// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json +var version3 = "4.5.0"; + +// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json +var version4 = "4.5.0"; + +// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json +var version5 = "4.5.0"; + +// node_modules/.pnpm/@tensorflow+tfjs-backend-webgpu@0.0.1-alpha.20_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-webgpu/package.json +var version6 = "0.0.1-alpha.20"; + +// tfjs/tf-version.ts +var version7 = { + tfjs: version, + "tfjs-core": version, + // 'tfjs-data': tfjsDataVersion, + // 'tfjs-layers': tfjsLayersVersion, + "tfjs-converter": version2, + "tfjs-backend-cpu": version3, + "tfjs-backend-webgl": version4, + "tfjs-backend-wasm": version5, + "tfjs-backend-webgpu": version6 +}; +export { + version7 as version +};